From 4ed6c474fa2493c4b016b66046a6efbeb99c5936 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Thu, 4 Jul 2019 12:12:30 -0400 Subject: [PATCH 01/31] new directory --- charts/untitled.txt | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 charts/untitled.txt diff --git a/charts/untitled.txt b/charts/untitled.txt new file mode 100644 index 0000000..e69de29 From f018c2c03069c5f82e951fadb853827a573eb1ec Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Thu, 4 Jul 2019 13:50:39 -0400 Subject: [PATCH 02/31] finished mapping function --- charts/module_test.ipynb | 238 +++++++++++++++++++++++++++++++++++++++ charts/untitled.txt | 0 charts/vfh_charts.py | 85 ++++++++++++++ 3 files changed, 323 insertions(+) create mode 100644 charts/module_test.ipynb delete mode 100644 charts/untitled.txt create mode 100644 charts/vfh_charts.py diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb new file mode 100644 index 0000000..5739170 --- /dev/null +++ b/charts/module_test.ipynb @@ -0,0 +1,238 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "from sqlalchemy import create_engine\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib as mpl\n", + "import pandas as pd \n", + "import configparser\n", + "from psycopg2 import connect\n", + "import psycopg2.sql as pg\n", + "import pandas.io.sql as pandasql\n", + "import numpy as np \n", + "import datetime\n", + "import math\n", + "import vfh_charts\n", + "import geopandas as gpd\n", + "import os\n", + "import shapely\n", + "from shapely.geometry import Point\n", + "os.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\n", + "\n", + "CONFIG = configparser.ConfigParser()\n", + "CONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\n", + "dbset = CONFIG['DBSETTINGS']\n", + "con = connect(**dbset)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "mpl.rcParams['figure.dpi'] = 450" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "query = '''\n", + "\n", + "WITH sum AS (\n", + "SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, \n", + "sum(count) as count FROM ptc.trip_data_agg_neighbourhood\n", + "GROUP BY pickup_datetime, pickup_neighbourhood\n", + "\n", + "), ward1 AS (\n", + "\n", + "SELECT avg(count) as count, pickup_neighbourhood from sum\n", + "WHERE (yr=2018 AND mon IN (9))\n", + "GROUP BY pickup_neighbourhood\n", + "ORDER BY count\n", + "), ward2 AS (\n", + "\n", + "SELECT avg(count) as count, pickup_neighbourhood from sum\n", + "WHERE (yr=2016 AND mon IN (10))\n", + "GROUP BY pickup_neighbourhood\n", + "ORDER BY count\n", + ")\n", + "\n", + "SELECT pickup_neighbourhood, geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a \n", + "LEFT JOIN ward1 b USING ( pickup_neighbourhood)\n", + "LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood\n", + "\n", + "'''\n", + "\n", + "data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')\n", + "data = data.to_crs({'init' :'epsg:3857'})\n", + "\n", + "for index, row in data.iterrows():\n", + " rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))\n", + " data.at[index, 'geom'] = rotated" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "data=data[['geom', 'growth']]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\users\\rliu4\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1328: UserWarning: findfont: Font family ['Libre Franklin SemiBold'] not found. Falling back to DejaVu Sans\n", + " (prop.get_family(), self.defaultFamily[fontext]))\n", + "c:\\users\\rliu4\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1328: UserWarning: findfont: Font family ['Libre Franklin'] not found. Falling back to DejaVu Sans\n", + " (prop.get_family(), self.defaultFamily[fontext]))\n" + ] + }, + { + "data": { + "image/png": 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\n", 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Falling back to DejaVu Sans\n", + " (prop.get_family(), self.defaultFamily[fontext]))\n" + ] + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ax.text(0.833, 0.32, '%', transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin',\n", + " verticalalignment='bottom', ha = 'left') \n", + "fig" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'Figure' object has no attribute 'rcParams'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'figure.dpi'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m450\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m: 'Figure' object has no attribute 'rcParams'" + ] + } + ], + "source": [ + "fig.rcParams['figure.dpi'] = 450" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\users\\rliu4\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1328: UserWarning: findfont: Font family ['Libre Franklin SemiBold'] not found. Falling back to DejaVu Sans\n", + " (prop.get_family(), self.defaultFamily[fontext]))\n", + "c:\\users\\rliu4\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1328: UserWarning: findfont: Font family ['Libre Franklin'] not found. Falling back to DejaVu Sans\n", + " (prop.get_family(), self.defaultFamily[fontext]))\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fig" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/charts/untitled.txt b/charts/untitled.txt deleted file mode 100644 index e69de29..0000000 diff --git a/charts/vfh_charts.py b/charts/vfh_charts.py new file mode 100644 index 0000000..3d423b6 --- /dev/null +++ b/charts/vfh_charts.py @@ -0,0 +1,85 @@ +# -*- coding: utf-8 -*- +""" +Created on Tue Jul 2 17:01:30 2019 + +@author: rliu4 +""" +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import matplotlib +import matplotlib.pyplot as plt +import matplotlib.patches as patches +import matplotlib.ticker as ticker +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + + +class charts: + def ttc(con): + query = ''' + + SELECT * FROM gis.subway_to + + ''' + ttc = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom') + ttc = ttc.to_crs({'init' :'epsg:3857'}) + + for index, row in ttc.iterrows(): + rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) + ttc.loc[index, 'geom'] = rotated + + return ttc + + def chloro_map(con, df, subway, lower, upper, title): + df.columns = ['geom', 'values'] + light = '#d9d9d9' + + fig, ax = plt.subplots() + fig.set_size_inches(6.69,3.345) + + ax.set_yticklabels([]) + ax.set_xticklabels([]) + ax.set_axis_off() + + mpd = df.plot(column='values', ax=ax, vmin=lower, vmax=upper, cmap = 'YlOrRd', edgecolor = 'w', linewidth = 0.5) + if subway == True: + ttc_df = charts.ttc(con) + line = ttc_df.plot( ax=ax, linewidth =4, color = 'w', alpha =0.6) # ttc subway layer + line = ttc_df.plot( ax=ax, linewidth =2, color = 'k', alpha =0.4) # ttc subway layer + + props = dict(boxstyle='round', facecolor='w', alpha=0) + plt.text(0.775, 0.37, title, transform=ax.transAxes, wrap = True, fontsize=7, fontname = 'Libre Franklin SemiBold', + verticalalignment='bottom', bbox=props, fontweight = 'bold') # Adding the Legend Title + + + cax = fig.add_axes([0.718, 0.16, 0.01, 0.22]) # Size of colorbar + + rect = patches.Rectangle((0.76, 0.01),0.235,0.43,linewidth=0.5, transform=ax.transAxes, edgecolor=light,facecolor='none') + ax.add_patch(rect) + + ax.margins(0.1) + + sm = plt.cm.ScalarMappable(cmap='YlOrRd', norm=plt.Normalize(vmin=lower, vmax=upper)) + sm._A = [] + cbr = fig.colorbar(sm, cax=cax) + cbr.outline.set_linewidth(0) + tick_locator = ticker.MaxNLocator(nbins=2) + cbr.locator = tick_locator + cbr.update_ticks() + cbr.ax.yaxis.set_tick_params(width=0.5) + cbr.ax.tick_params(labelsize=6) # Formatting for Colorbar Text + for l in cbr.ax.yaxis.get_ticklabels(): + l.set_family("Libre Franklin") + + return fig, ax + + + + + + + \ No newline at end of file From 6fcb83c8eb2f8b2652c606b51f5a9eb7c0f21b2d Mon Sep 17 00:00:00 2001 From: rickl4 <38917106+rickl4@users.noreply.github.com> Date: Thu, 4 Jul 2019 13:52:09 -0400 Subject: [PATCH 03/31] Update vfh_charts.py got rid of environment variables lines --- charts/vfh_charts.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/charts/vfh_charts.py b/charts/vfh_charts.py index 3d423b6..9f0fb2b 100644 --- a/charts/vfh_charts.py +++ b/charts/vfh_charts.py @@ -15,7 +15,9 @@ import os import shapely from shapely.geometry import Point -os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + +#shapely workaround for windows machines +#os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" class charts: @@ -82,4 +84,4 @@ def chloro_map(con, df, subway, lower, upper, title): - \ No newline at end of file + From 5b6c816a4aaece4593756a80241cc5e61c3ce989 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Thu, 4 Jul 2019 14:19:14 -0400 Subject: [PATCH 04/31] option for island --- charts/module_test.ipynb | 96 ++++++++++++++-------------------------- charts/vfh_charts.py | 38 ++++++++++++++-- 2 files changed, 68 insertions(+), 66 deletions(-) diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index 5739170..e3dcadc 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 10, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -22,17 +22,17 @@ "import os\n", "import shapely\n", "from shapely.geometry import Point\n", - "os.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\n", + "#os.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\n", "\n", "CONFIG = configparser.ConfigParser()\n", - "CONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\n", + "CONFIG.read('/home/rliu/bdit_vfh/config.cfg')\n", "dbset = CONFIG['DBSETTINGS']\n", "con = connect(**dbset)" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -41,7 +41,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -82,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -91,59 +91,53 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "metadata": { "scrolled": false }, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\rliu4\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1328: UserWarning: findfont: Font family ['Libre Franklin SemiBold'] not found. Falling back to DejaVu Sans\n", - " (prop.get_family(), self.defaultFamily[fontext]))\n", - "c:\\users\\rliu4\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1328: UserWarning: findfont: Font family ['Libre Franklin'] not found. Falling back to DejaVu Sans\n", - " (prop.get_family(), self.defaultFamily[fontext]))\n" + "ename": "AttributeError", + "evalue": "'bool' object has no attribute 'plot'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvfh_charts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcharts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchloro_map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcon\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubway\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlower\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mupper\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m200\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Growth in Trips'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0misland\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/bdit_python_utilities/charts/vfh_charts.py\u001b[0m in \u001b[0;36mchloro_map\u001b[0;34m(con, df, subway, lower, upper, title, **kwargs)\u001b[0m\n\u001b[1;32m 78\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misland\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 79\u001b[0m \u001b[0misland_grey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgeo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misland\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcon\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 80\u001b[0;31m \u001b[0misland\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlinewidth\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlight\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 81\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 82\u001b[0m \u001b[0mprops\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mboxstyle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'round'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfacecolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'w'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'bool' object has no attribute 'plot'" ] }, { "data": { - 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D/bfP+af3yrkvBa74+qVgZ+fpcewEjkbeyCGwDCiBPxCkiaqYXJwPs74+8XDN3GyEqhM/DwAMTY/h/kmxNRzLlZISq7uL4DSTdbkR8Y8O13TANHt1nP0eb9kDQO6wAW/mjhi0X92KdSlpT232irFCBksP2Y99cs0Drou+fFkdfclpHkIIiEBBKIFktwnXLPvINHWDV3w9L8ha/J8AAIJIeFrL/wmlERcsJSAgnIMTQginoggiCJGxGzGpOAchWYP7Wv1ba419LzlNj/hfW9aQOTgIIXpIJYYapoREMjS3zbrZ96zjHRXTZ6HtjtpW5MwMhCoiYm+VZeie+PeoKXnZQHNjZJSHw9BefNIBALaiEkhX3xrTMe4qLcSIw0Yq/b+b2uIz4m20L5Litt3/sf2zgNKvv+WtWbOFr5oqHafNn6EJ5ZvDvI1LKPLxchCQ1o9mezNiXo5izXML/d583tOaSrf1u2lNak22p95syUxMAJqTJTfX+eWBl58Dzhk4i3xvVJLADRNM06AHgiCUwpKZAapYQCWRgRIYhhF1jMXK0pk0sfQ4FdfpYk7DGUPr2sGeCtMNcM57dTROrxB7JdO1TklBQq9Wwt6AKMWISmG6TrSgiv9NPEdBJBd5BybceHG47IgDhPfOucluhmMa1Qlx3scv+t855VpHvEnG2uIsyPHVfv9rhw+IWmQwiUI3DVBKIREBui8QrYmo5B+6H9jalR3uIVZVCeJ0CftdcTZb/NpsauyU1qBo3D4QZr1s2r+d40rojRACctW90DauAcktNLPrV8t01mQZcaYeYFdM9lddfLPDrKtPaLruuueu8IalW+XA1hoThKD1OcJNg4BQLsgyF22KyRkn/o2VIlM1ygyTggB9hvSPLpWp9nPHsOw5Y92/UFctcL57N3WlAG6YiNQG6L30CrEP1DYWhxJ0P3RGqNEDJdOlI0oEi+YLwpaTic4Sn81/6jVL9bI18pH/uNn/5W2PpWT1mJuMJSr0gkXGxV+9Et487f2ovmHZ7UIo3OLCkS3QmhNbnM0/YJRqLvwwqnCGH7zdesShRxnHrJ3DfnxyuvHDv1/dflzx2KE6qn5I3D9qdyKo62CiBIUyKuhqQjlmmGznZl3iWTJJaV994wOvWMJNns4WyDuMpeyxw1G3ekNUqUy9ZR/dsg5X11PqsIP543+Id2y7Z5S88JoLwoJFkqqnz6JGCqPpkoFrOtDLLfs9e+7Vgh4IDvYlEYYXC7XZA9lpj6oi4UAQ8cwitny/iLjLilM2Sgw1segVIgg4ffrjAe+Cpdjw8vtRb2JLtnt7JI7VYoGWYCRO9rC+BquMXvSKNzVCmzVDDF1yqnjAuUczV0nB9r8VDy8L89qqhK4FAHBkIKCGwWWL6SAgCCTWXxbSkoqdZFY7DydhTOQdOIZXL14Vww+cYsteFqmcnwNLSQGsA0phGzYAjjHDoTd6rK5jD+1W09QiEyk3C4LLAWpVQG1WCE47qFUBEcUW92SCjYoi7MccZGxYto4PeP1fAevQ/t3qY3eJ1HXgvcL4jUXveHOEsFRu1w43++HuWxxVGNTGZurIz0Hjuo2dtnHmu096yw7f33X1so/M3156L2TJcJBti5ZbJKvCMgeU6vOeeNmeiKVuqPFHgww5+cjwgbddxsqfnm7Z8t5nMb9jS1YGAi1ib7dYEU4wEsdiERkLdboOC+71QL/rGtukt5/2P3nwpQ4AyMjJ4GhOPCU0cbjgD6mArMBBTMCfmACzQHJ58zVVT+ohkTl6aLBxzndR862kIEimHd9NeV0Z88SdfjOsk4yyYpHVN8O3toKgpJDQ9Wu71XbjjI/kIU/d7ScWCUQQ0VIqEBAEEEkEtVkpczmVohce8hNCOCEErQtKZMfax465DAGIIJBF9z5pbV6+Vqj7+Xf7UbOeDaz+0+V2JOGmTAmRRfQ9Ok1zV/QKsZcdtrXOojyoCbohYhFqaobFZY86GgN1TYKjoIuIG0pharrweNb+uHbVJ+ZBd17u+P7hZ5mrTxHV/EE4iwuEsiMmmBu+/Cmum4uKIsLeQNxPs4k3/Z/588lX27pyy0guB7xaZE3BKsvQvYlNpakZ5vGoIPc0w7JxjTjoxMOxbs63EHly4glnBvyqCogiHCJHQpY9pTD9/qQGsxZMLpWytSifeWLtEmapVfu1n3wnrf3kOwkAhpx6tN7XYZc2vj4LJacdrRW5u+edaJz+nqVx+nsxGyn6x13q7+9+Qep/WZKUy9IIBPHr7f+0jPvfP/xrL7kztZtm4oSbvV/se4Ubx1VSsN5RmJuyMjmhJi9kR/QEeJovICruLtYVGUP17yvp2TOf9YV9QbbszY/Cv/13Bl30wltY9vos9DtyAnOXxb8toGj8SNSv3hC3ZW8aBvIO37/L4wx/EIocced7Q0E4B5TG3ScAEMLxzzZ4Y73prYy42kQzyRh7hwsBNQxCCLcrFvBELPvSodDLNyblVtMDoaTGiWmaLFbZR9aDNWI5Y5E6ukBLYFLPrZ5Shx0YPNCo/2VJt4Sy8feVorfZB0eMPE49DY/MKNKbqv7oSFZla0afQi+AlCTJURu9MbM1EkqFvFFDcOa7T/nBGAOlXPX46JzL723nyP/psf/GjNl9+eDzpZOnPRJSm7xY+d5nXcb2Fk8YxWpi+n478uZJV9muW/WpUfXJ9yLTYkcDedduxMDTjwYBUNVQhyGjSjHwsjNR99NvYIa5PWKEMwat2dcuBl8pyAUaa+MWQbN8HR1z9rGhzxavsgp6chuUiDMD/mYVkB1wWJXE3DhDxzDt46UJx1FLQ4eicUPXBWOiEe7MbdSTu04ZJ7Ql7j0S3ttzNl3JC5P9P970j5SkBl501xOOY2Y951957KW7x7pnbA+PKeqcXiH2AGoy+hYFkCKxN1QVdKcUtNYsN8754JmgaLUIzRVb6Re3Tna0JvLad9IZobFXnK3/NvXduLYRakEV6+Z8I5cddUBo5XufdXl8/qghoVXvfxH3gDLDGmZeeLt51JwX1O+OnRRz4ISq66Bv2IohJX2xunITvlv+O0YMGYr+Z93BBFHkEZEgPFxdK5J6D4g3iJrvfkXNtwuQOXIweOXm+MX+x7nW4ZPP8n5tt1nFYaNtfNzBKl/8iwJmdhS+yHXbxMG3/HRlwr9tE2Bxwmm1AoH4xZ4VDAzpGz9KWJQs48eh/vf4H7Rt0YKxZwSpyLMTC9MwCEl1Vs0YhDST+9ZvTolIGsEQVjz7htD3wRtDm+9/apdvcOJmWuz3BLz23KzkVt9iQHfaEVi433C2/O2PbfVrKpA1oDTo3bJt+2ha+tos6zmznvXFI/bHPnFXoM9BY4V5T0wjn9/4j7gsGEd+Dk802mjLz79Zln/4FRt8/YX62imvx+xXxeuzMfzOv0DVNGxVfdjAVXPxB7MEzllLhAWHkplhKk47xMo6Ydiho7HvURNhcTsM85eZCVVwEdQABhx7EDzfzdMtZeOZdOx5fkIFgu07nCI/OWe83aYqHnmRkiKLf+lzEjhIxLKP32fPnTnMqEw8RTEdPjzo/fC1hCvVOAeUwrO5KrbYmymIfwdgyXDitOmP+6koAgA3QipzlRQq6x9+RgAA/4YtVLnsZl/hsUcyEALZYaXa0pVy8wefWkJLVnb7+povkFKB3PzhV9b+55/olwtyoVWnJsto3DDWq332vUXsuWi1JJ7KsBOGnHyUzVGY661dtpZ++8AzDs0bpNZstxGobRSLx49sN1CZYYBSocubvnC/fSBZFUw76Dwlli83Gswwksq4uPC5N60XfzEtuPGNOZLWGD3SJtzYjNX/eRUjrzgb+597qv7D+x9LECRwzrcb3NwTElTDNC2FWebPq5cL2U4Xzrj2Mk6Wf5VQf4ypTzpOOvbEgDRyqFB/+hl2JPKeZBnZP/9sqjmFjDKDWCUBCMa/25eFdZbQ9VogxSXMtynxMNH8g8aievHqmD7gVBTKkOw2nPn2vwNzrn7Q4dm4I830xFsnceqJDAfPsrXCdydfvd3FSChF5n77sLFP3BfeeOy53Y4rJ0h9ofNfrnvYccT0f/pXHh97VtoTcMZ7xRpmLHqL2EO0Kt3YNdKRJ4oPoWDMVXbkBHbBJ1P9YV9AXP/p91KgtgGK29XhBjd1Ha6SAngrq2O22ffgcVq/ow6wJiL0AGB0YxfuzEvusp36xr8C6x6baq39dkHUmzlUXYdlf38ehxy2v5ZbF5JKs3La+XmpKMBemCuY/fL0X6obhAafF1/98D09fcKBMBbOA/T4+seqKqn2ygt2muEOWY4+BuEvPo/7fdCMDNR98KHAwgZ3ChohIX9C4YtmMLlFYU1nJk8iHDBr7IjQihffjumKSGSB1lGQi1NefsTPI2mIQUgkNzHXTXx5x7/aCX0LPFaNW84YGhcspd7VFRpSUWC7B/Loq7UNqP1tBZS+xVBTVDAmLjhLi/2egOywpdSyb7UCN86dTzfOnb/DwqAU0VIqf3jJXY6z33868N7ZN9ljZcsccNwh4WeG/inhFf9kMy4CgH9bLd4543r7hbOfD9R+uyCmz9rWpxCV85fwxS+/H/Xvks2KMZedKV141eXGm1NeEJs9zbxaciG7uA/YxvKE+sS9Ht1x8YWG/vtvTlYX31SdujIQDIcBUWAOgQoI+HZUe2r1ALXNd9MWQsBUjdKMDEASd+S/ASLfc7scRpG2mN8PMAYtkFzYpWNgqdlUHn3DGbA91C8ujvzHzb4PLrnL2dmubSXLjUs/fjEUqKzWLBku8fePv+18fSLJBWLqsCPvukvDlgljNbXRw7Ww0SMRLP7KbdTSp3CXij030m6cPQLZbkupZR8TxkAlscNIUZs8eP+8W+0XfPqS/uoRF0mav+NmI11VpZNe+nvoo8vuiXvxSclyI1jX1C2LI2twX+5bub7TNgZde776y7ufxhQIPRjCginTMe4vZxmZDqcYZAwhTQOxJV54Pfzy8y5SUAT3k/8JNF5wYVyLpiQzEz5VBbcosBX1gTliEHhO0XbRbltJsoPFr9jBHCWKfNtNMBkD5xy0JZEcAYnUAyE7dv0QECiCANbQCLOsWBl29fk7FlR3aptzjlBNAzbP/rrd703DNDsrzhIt8iN/36HGhBsuDokWmUUS3UWS7DVXbBU6E3oAsGW7se3jb82Vf38+o9MDd3Q8rsMAQO5TiNybLg8JZX11/5ZqsubNOdb6B190CjYFwx+6MbVGVgssrINad232Am4YabHfE5CdNh+htEejHFqhYkexB4BATT0CtQ36ubOeC7921P85AMDdrw+YaSBY2wRbTiZCDc3mIfdebYw84zgjVFXbRg1IS/ZFDmq10FAozAAC0WoRRIsknzfnRW/rgukOq5Rz2WkXXzvqkk4FkxBCciaOEUY+cL0OxkGESHZgzjnR6pskOSdTlweUmtsWLu9yBrHpp0U0c8Jow19VKWDMAbqw736GuHVTJBWkyVrilVt2WJomYBot1rMBGDrh26ok3tQogxAuuFxK/vwFpvrNXM1z112dPgBpphsBVcXGujps3ViO8pXL4w+9dGVB9xsia2yM73gAAqXILCoC/+kHSZV2uICilScWMjquf6v+zhcuOdvhZskZ1l8/6I4rwoQSMvvyvzk7C5ftjISKjneRo942biRyrr00wOx207NmI1383AyHZ3n7FNvZE0bDs3pDj7g+NI9fzMhMLE9ed+Em6zV6GI1e8+YESdpgz8+Bf1ttj1+LdlJc2VDD+s9PvKyc/sa/QrLTYdYsXgWQSNTEx1c/aGkq36ycOu2RcOC3Fcbvl93jVArzkDFmWKjmk++2D6Rx7z3tefPMG3a20KJOl0+e9miXISllRxygL37zI2HzD4sEEICzHdaw7LJzUw0LWx58Ji4Lu27FenkzDaK6sQGbiEMShw7R3zr7ITsoBRVFiIoMSimoKIDKEgRJAhUFCLIEwSLjjGkPq/Ls9wDGiP/d9wWYJozVXYc2UrcbflUFIQQ2qxUCeIcc6rG8OLA5GfHUUcFiAaW0nRsnshDN280GOICQpqGhoR5idiYxCtztHew7TR2yBpSwY88+Vd2eDlOxCNsqKjt1b7A2RsmYy87SfnjkBUdXKThSCY8SDGSfOA4510/y64yw+kUjzBlzAAAgAElEQVTL6S+3P+EIdrIG5RxchqbyTT1S8CNYWS1bj5hgYFdqlGmmLfs9AXte9kpXSf6uEftOCjUwk2Hj3HkWgGt6ICRunb+kg9n3wyMvWk56+EZTzs5Ev2vOC+Yctr9Y88l3Ow6wyHGbaKIidzkfV5u9ktrk0asWLot2M7ckL4kP2WGD5vG0dFPG9hTOjIFpGrROrFIqiuB19Ubw5ZfjvdyOc92ZCDQ1o19pH5x48AQU676IZc9Y+3j87SFEO3zwfORBpv/L7yn3+cENfcdToeVFqBBZaOQt54kCDIsFnmAAGNDP9DaGqLqxkkaa3cmNA4CvqsLqG57cIe6iiLJ/3hG6YPYL/p/+84q88ZtfOgg/N0zS5t9c7WbWVt72c4iD1gLlrmMOReb/neMzCOU1P/0m/PCX+x1aQ3xpMwSblZshrUcse6YbQBR3aY9CUh9Z9Eei14i9syivPKO0MFj167LEncgJ0umOxBYx2Di34wBvpWbZGrx386O2k6c94nMP6qssu/qB7TcZlSWwBNJYiErXfs3VH36NU195VFv9wVfd3mkj2azQGyLRKcTkUJt95KwZT6uezdvwxa2PdmrlufoUQKjdRpJJFEAzMuCvrgHRVNirysE/exVo3ildsdMNMvJAFYNHG1DsLCLgHDwUUsScTA+y3GiN2+cRlxPhgSANL18pqAsXWfW167cvzBObFVJuLqT+/cSMcy5UN7z/jQK0KUCzY1sAzEAQ7R5xhoGNNz9iBaU46KEb1ENvv8w//8W3xTWzvt7++TDDABVFMMOIbMQWd+1QZIYpFrw6xVv99S/i8r/c54wVmtsZRKC8rTsqlXDDALVIPe+TbQO1WjrP6reH02vEHsDWzP6lXgA9L/ZC7NlevGGVzRVb8NopVzsvnfOit+G7Bdudk9aSAjRtqY5f7OOYBaiNzSCEpGTgWJx2hFtCLWUq4LMb/m51FOZiwg0XdTlQMvuXMGF94qUVAYA4nVApBTd02CwWINAmxn7sYWFy2KkaNxgxvv7EwZ75J6C232MnxMp7IspQ9t0fGdddpPKCMt3w+Ji+qVIIfv6lNbx4qSBkZ7Pguk3E/3sSG5AYw+Z7n1QAYMxdV4QnXHWuf9l7nwvlX/xkJZTSrEF9YYY1SFZFtOZkwt+NTUShJi/EGCk+orHwmgdjFt+JF7W6niq5mVHrPnQXOdPFjPqmXapPnPF+2FG3rNfRm8S+PqO0cJc8mTuz7FmcC8Rlh+/P+kzcl0my1K4xW79iVr1qfVyDUFQsyBna337u7Be8ejDECSVEdtjoqplfWpe88oHQmkK572Hj4dm8LSX+yLbuAsYYJLsVgiTC1I0uHzp5IwaHjKULE8+jIkkwKIUBDgkcMm3xjf/pwiBGHWyai+bJ5j3XJVeqzNDAFv4ILPxRAaAIAITcfNhOPlXnt10XNMMGIUV9FMMX1Kte+UDSOvFhd8bWyVMtmDzVUnb6sXz0g9cHrPsMlqwPXBtUG70wwjpp2rAlqXZbURubIWdm7FKRqvthEUovPiW8+cPuzxh3xt6nMBxat3GXpkzY9I/nR1j7lVxj7d/n2V153V1FbxJ7Jtmtqclx3AVUjC328SZTOvq2ywLlj79kXzJ9drugfcfQAaF1v6+OSxANNYynBxwtANg+M5Addhz9+G3a8DOOVZ3F+bLa7NVFRZFfOfSClMx4fFW1yHK6Igu0NVUY9OfDULVwOZjRtdhnDyrl+uevJnxN4nBA1XVAN6DYnSAD99Fxy1Oq8f7rdjb95dT7jOtqwN5+UQIg0bxChM68LaD9Mk8ZcNP5PrmshFGHg/pXV0i173ymeOb9nlDT9TO/IPUzv7CX3n2V/7sPvnTUr0psj0JnkE4CB3oCKouRhHk9ABEFML3nMoNGo/nb+UrlM6//vfiKc5psQ/u/uUsvvgvoTWIPi8OeutqEnUA6iXGLd7OM4Quwhu9/7SBUjsFlvOrlmUn3TfMH8Mk1D8rY4bZIqdW1+affMPj0I+GTidmcaSFHXniWYTR69PlPT+9y8cDmdjKoiW9SEvLy4O/b1xQ9HpJRVEiM33+VzBce2zWZvmq3wVq5hBb/9Zpg7bQZdOt9jztBKazDBiL3iIMDfa8926TuDM50U2j45ldb3buf0nhyunBNJ4IltfuRokXY9CRylhu6198zycMY6xBttSuofPIVd/afD70jLfZ/cGSXY5dY9p26cUyzy5u/eP9RCJVvjupWETKczAimNKdbStm6YCkGHncwho4djRW/LKSfTHtDLjFkeeWMrrN3KjYlMTVSFGQ88GBQHjmcVCxYYOENdXA7LJQ3ds/lkTCzX7NKs19D/sOvh51HHBhuev9j6vvuFym0Yu32GZiQ4YR9/L7GwDsvCUrFBSZ1Okm4rlmo/+gbe/2sudg5dp5FfPUp7WYPpq2PimCRwHQ9rqtSUUTWuBFw9C0C0w341m2CZ/UGxKrW5t+41ZI/djhr/OS7Xa743l+WZMp52T+LbtcSpbTo6l19/Z6iV4m94nY2EkGIe5E0WYgQO+lZV9EJJ035my8DIMtvfzxqkieqWP7Yi0OcY9XMLzHhgWv4luICc+OyNcKg/SYiZ2h/1K/e0OmpsiLFH1I6Zl+e+dc7gtpzjytmzQShpsEHODOMImJSvqXz6/QU0m9fISMzh7sfv4utOu0q6FU7/PemxwfvVz+I3q9+2P69SsWFcB40Xh3+/D26mJPFGCdCzXtf2GvenEOMZq9gy8ncLe8jVVBJ6tSN4xxUhomP3OC3W0WGhnpqrFtPzZoaAaLIxXEHG0LRmYDVzmCROZdkcFEmJiE0WNdMtJBmyehbzGrf/kTWaxt6fEy3peK+p0orp0wvHfPdG0UAnADiz7j3B6ZXib1ks67I6FOI5o6JoVJKZ26czm7+8VeeG5a31pClk6fGzOa3q7eIJ0Pt8rVomL9cHDCuv1G7bA2WbliL0eefhG/ufzr2NnxCYJEFGs+QVU48UXec+mdNvfNKO3QdwiFHI1BVDzgpMmw28Iae30sRDf7BKxYA0O/7n1+vru3yi9K3bkPju7OVxndnKwAguBzIOO4IddQbk3VL/74WpdlnbP7pN1FNIuwxav9SkEkzEZiug4rtJ6iCRUb+ERP0CX+7QudLFjPf3x9wNFUnkJ5bECDk5sC172g497s2PHrKLQHucnNmgjHN4GZYhxnSiKmGaXhrDQmu3ySo5VuU8NYaaDUN4HrsFBWJoNc1YukJl/cd+eFz3zhGDjkWQPzbr/+g9Cqxz+xXsihzQB+zeWNlj+6EY7oRsWqi3FhMN0TJboUepUrRvicebsw/6apO07ZySdojMu9VzJ2HP110El/4yVeobmzA8L4DkNmvBLGiSmw5maA+LzoTe3HoEGTcfbePl68k4QdvdbQ+OIhsgaYbaHVUEFHarbFxLKzTZNIlm14/Gmd8pDTO+EhxHXMoaz76KBzx4PU+Z0k+Ey2yoHr8MEIqESSJU0kApQKIKIBQGtn52yKsst1KtUDQ3F5JjIODMbiL85X9X3nMQ4QdG8YExSLQnEwaamjWQRDJCUQpIYSCUEIiKYIImBqGGVIBxonW2EwNX0AwvX5Rq2+muj8AGJHdH1SSIDrskHMzDdeIQbqjX4mUNWa4X7BZTcFhAxcFuu7reVY9qJpkWzUxExF6ADBNmNU1MOvqYf44VwhPfbbdQ5UgIloiAGtxH2QPHQ6y/wSdFPbV4M7iJifMCIS5b9l6oXLK6w49zg1i0VArKrH0pKvGjfzwucUsGCrPOHDscQCST0G7m+lVYi87bOtyhw9srPh6Xm5PXmfD1/PoOTOf8QKt+/MJCOEEhBJ3vxLbN/c9FfU8VdPNfZ68x7/8lkcd0cTCWlIAX13jHiH2NUvWQBFEszA7R9pcW41mvxeOwryYYp/ZrwRCRbklmt0lH3ood111RYBVrIE2+U4nvO0tXe5pgtudgYBpIqCG4VZ2eRGjdkjebWb+9ZP8NVOmJZ1vncgyq1q4XFzy6geRkFFCYM1yQ7JaYOoGmG6AmSaYYYKbJjhjMHUD4Bynv/mEZ+b5t8ZKeNZu1bfsyAOQPbBvcNHUd2InSCMEks0KyabgjLf+HZz79+etkk2BbLdCcTsN0WY1qSRyDk6YphFti0dQl64W1fc+F03DRPOGzR0Wy1fPmuu88tPndf+r08HDiaeXFooKNbZ5U+cpJ7ZuAdu6Bfj6cwk7BSK4hgzD6Lcm+2o+n0+2PJH89xTeXIWFY0/tYx81pGjEG/++1j5i4H+SbWt306vEHkBV9uAyH4AeFfv5T71qm/9U9BDCU199LCDZrPawp6Obb/oZ17smffqSj0oiWJQc9f2uv9D/zb9f3i31NxOFGQb81fWQrDuEt7MFwqyBpSpft7rdiqTtkks02/HHhNmin2j43msd0GKIgtWGIAIgmkptlhzwQI8kWowb8vyDzuwHXvLXPPNy8rVkCXi71AucI9TQhLiW5hOIuhEkCWZXYbGcQw8EoQeCMEKq0bCm3ZpIqyGdECPPPp75p/5XSEboI1cVWXdcMnzNKmg3T3Lmnn+pqjx5j3/dTfFVhYuFfcQgHwS6rjtt7G56m9iblgxnI4D+u6sDekglohLbIKmY9xsZ+fS9/iVX3tfu5rPkZcMyfCBqlqzu8T4mC6EUw04/VgMlnJuMOIvzJLTsOaCERizPGOQOG2Don04Hzc2F6957AqLbyYwvZ0vhOy53diWYxOFEAI0mtJDgGDA4kk3T4YqkNtA0gBmI6VbZ7xAIo/cPQ9cJTINyTaVgZsQNo6qRwiumCehhQNfANqwG6rp2PdBvPrDkXXtJoPaZV5Irtm0y0lmOpc4vHr9rnkrCjnUkQqBkOEFFAYrbBVtOJmw5mRAVC0xNR7C+CUICeZk6Y96U12m/t/+lWpavlLQlS5Nwq/KUFEYx3nxZcR5/sjbs1cmB1ZPusSe70Jt76jGr7EP7z+l2h3YjvU3sobidyTvpUkCosVlU3O1Ts1JJimR9lETMf/5tR/83nwi2S9oFYMz//qEu/uInx5BTjkbD2gqkcrNNqnD3K8G+l57OF7/6gYWKAjZ9txCBpojLRRREGKHYMfR9Jo4WM48Y4UNtFfS3nneGKzfFd1HZAkOUoClWUEJNWbLBPOHiEDdNgFIQUYr8FIRI0jMAhBIOQgECsEBQJKX9aejpJ2QiUECSAUpABJFDkhlkySRUAGSZQXJx8fiLTKGsHyOUtMt/A6CDFe+o8knJLhVzwyC0B4qCE0HAkJOOQNH4kRAVC9z9SiAqFilv+ECIVgt0MJiMQdU0BNUQAmoIYdOEIFC4lUEQ8rMsB91xOX56/L/d6ocRDMGzpZrncS5YjztGC33+ZWKbChgnCeTn67wvn82WlcZ6YZ/3ngqsOP82O+vkPo0GEQQILvser5V7/BvYGVt2ZudVHnoIUVFwynP3BQr6FpIBE8foZkhlhJBIlnrTBNd0cMPkck6mZDR6xJ2FY8NzbwrZLkc4x2HlI8841rD168Opw8aITSEG57R2TYW4Zf4SZcPc+UhV9EaiZPQpYBu+mietfPdTAICrOB9myyYyURCwc7EOJcuNox+9NegozDULMmVFu+1KBQnmaidZOfAEg+Ccc0djg2gsmIfgs08mNCV3PTctYG6usMDfzv1DAAgtr+3E0ztSUgrLrX/zhzduSTrfENd0obMZYOcnx54JjbrwZAiDivFjxSpohg57dTmoKNBAdT0M04TRhWW7aU6YsiUrkuvXTqz5er51yD8na42Nfp5/+STd9+obWvCjOfHNhEyDECl1azPmgp8F2tRgH/Xhs4Hl591qN9qMIbkoD/0fuiG4+d+vyMGV69tpIlUsGDd/RoWcn/NxYPWGG+xD+78IIEnf1O6l14m9aLVstGa5EdqFgpg7fADOfvpvgU23/F1ZtWJdzCmrc8JoZF52TnDxtQ912E1T++n3Mc08warAPqgvyvYZpI6+63JDzs9htsFlctXajVqooZluW7hMbKrYqqhNHoS9foS9AWiBYFRRoLIMxe2EkuGExWmDxeWA7HRAdtigenzQfAFwxsF0HZy15HpnkbJ9/Y85yPBV1cq5IwaBM4asQWUwVjXDkuFAZmkRcocPgrM4H6UHj9VLJuyrerZUY/7TrzrqVqwnt332hAeaFl8VpTaQnDw0+QMAZ3Db7WB1idvSwanPiPZ7H/YF7ro5ufw5O2G59lb/+qvvc7SNs08UbpodwhbjJVYiPtGqoGD8Pvhk/g8wW9xaoq4Dug615SErSxJEKkCRZdgUK2wWBRZJgm4a8AWDMEUJnt9T45pePfMLrJ75hQwAB1x3gXHgaSeT4EfxeUKkfv10c+nPKd1izNetAXnsTvvoGf/2Vc/6RvD+ssTS58aLgjaXRNQpTzjK/nqDb+VFt7e7R5imo+L+pwvUzdse4JrOh7zw4DEZB449KZX92lX0OrG3ZWcuyygt3GViv8+5f9YPOet4bc1pV9lZFztfbcMGomr2XJmpEcPAMXwA8o87hJX/55VOnbdmSIV36Rp4l65RKt+MDJYxrz7mnXXJnS7F7UL/oyei7PD9TXt+jqa4nabFaYdotcCemyXXLl+ncs7BDJNwxogZ1qAFQtBDKoygCs0foHpQpbLTLhx448Vs44zPZAiUixaZEUHgIIQTgYJQwkWbFc5+JWpRvxJQUeL5B4yWhJpykmnLpXlFhWZTSa5mzc7A+s9/tP7wyFRn29BUIRykiZftBmhhcUTsTULcDjvY1jjdP23gnmYLsTtTkvVTGLsf06mV6NXdi/XnugFJsZjYaWbRFdYsN0TFEvUcxe1CKKzCZAwOqw2HjR6HrCH9ofkCxFu5LRK+qZkwwxrCvgCC9U0IbqqG5g9CsikoK87HqKOP0/9359Ru6UKrQSFZFUg2BZLdiqqla8XghSdzachgpq9Z2+VihTR0iBl+e2p3uhEVVrMN9M0XlLLb7mbGyQfpvluucwYDkYqmSrazo3XEGOo//Kp1ikEqHphy+IDJt02Xi/IetxTkLkt5B3uQXif2zqLccldJQbh68aoe35103KO3BosEsDXn3OCIJyqj7t1PMWT2VM1aUmCEa+qVAfdeHZZcTrH8P68kfG3SstNWbfZi5XufAxHRaDfvPf31f3pmXfrXuKzpvoeNZxvf+5wue2JaazGTTgeks38f+PQQNK8fks7Ylu9+FRc8/XrU+ylrUBlQuy0pBywdNBwVy1eDW+zIy8yBuWhbwm1wwwAP+lMSms98PirZrcg+79Rgwxszk04uRwQaV2qNnXEU5KCpfEvUz1m0yNvdNJIgwmjyI7ipOvjrc2/YmisqwQwTmr/zUs0lB47RsNN9lCjXzX0pgEWLONc0QNPAwyrhapjwd98irLEpvoUKkuKtFIIA+c8nhyx/OsnQli6Vmk4+Qdl5UZ/QrhcJmr762bH4qEsuHDrt0bG5px0zIqV97GF6ndhTUax1lRT4AfSo2J//1hN+Nnce2TRtRtz+YxYMYtXRF9oG/vBOaN5Tr4XLb/+ncOh91yY1uIjc9ZhhCYToFe03Mrjt2/lxvxdbfg68wQBkl8O0hCF4t8aOYCmZOBqsfG2n3wftN4hL518WbDcABRHagCEW/7ZmKjY3keIMF4LrE3cxsC2bAdNkZMgw8DWrEj6/LXzdGmjXXWTPn/p2oOGtD2NHAXWB4HSYoUZPwn4cKgow9egrC4IswWQRsRcECtXjQ+6Igaxx3aYuRb4VZiT+AOrQRlOT4XtkcsIuux7BaoNy4f8FpLH7s9AnHytNk/4v5liLd7QYHh+Y1kk1+T8ovU7sATTbcjJ7bAFFtFkxadazgdrJL0jeb+cn/EAR87JRvXSNseqdT5wAMOzMY0NyXja02gTXlSWxy0FpavGXjMsZ2p9vfGJa3JeXM5wIhlUQhwRZ1RFqiO02Kx07VMWimZ1m/ZIuuSpgvv+qA007qk+R/CJ4Dj4eCPi422YnPOAHLDIgSS2x5mxH+GUX+B/6myNj2huqd9J5SjKZN3fG8AVYskIPAEJ2puavaUj8IU9p7DTabTY6EEQiiagkwkwgXj2Z2UYH/gDZnUh2DqyXX+OnpWU88OLzTv+UZ7o+KYF+m76g4pn3+5sZE8f8H/aQXbW9Uex91uyMHnnqZpQW4cJXJwcqrrjHqm7YnFSQdL//TQ5Vlm+R9rnwZHXl258o3903xXnGO08GVlxyhz3vT4dqRZedxUMbK7XFZ98UczGRyhIY551e35aXjWB9c9wD1+KwJaRcRBTAOAOBAIGQDpE4bSkY3MdgczrPV0ScGZyvXd7+l1m58DU3gfs8yBg5ylT2GWbI7pv1SPx1JDSSDtlH9v3jYdlYtqTzDoeC8D94j+Se/ZUZ+M9j0D/9KPmUGrIMDtqtuEnBncGCK5LI4URIzGR7VKAw2xSTZ2ak3GFn300Hkt0k1raLu1Hthf4DuDLpKj/sDvgmP+JkmxJf44mHNVfcO8Q1YfTA4dP/9al1YOn0HrlIiumNYm+IiiXlln2/IyewP91yaWjtGdfYzSi7Y+Ol/LwbrUppEQ6bcm942OlHqzNOv0F59/Tr7Mf8+y6fIz9HePf062wTb79M32fmMx6CSGUo3lIIm/OIHlvcGZJna02nYtVn4hjULV8b9/cr2xIzMgml4DxiDBFCIhE7MbBaZYZQF0XEwqEODZCMTPhCKhAKEHvtVsGcs1Qwv/us3WxKvOpOv7GpIq6oDXP1SsF3+w2w33FvuFtir2nA3Nl0wOtTguUXXp+U317IcPJAorM5RD7rWIJMRWH7PUIpATOMiLGfgIDHW4+h80a6KfaiCCKKhOTmgfu8cEx9XQ1PewHmquUKCAWrrup4yrjxunLRJJV5fNTz0INOeJPIdp5gwfEBj99RT+3Jxs/uenqj2EOyWVOaknTidReo+4wZZqw541oHj5F/O16YPwhqtcAhhQ1J9NKc4QNRv3I9Prr0r9st+S9u7Hxrd//jDjad/fp0KlbZg/qyyvlL4i5vSBOMCiGUoO12/84KZ0iG2vUgCgY6WKvE6YK/ZQOM02oFr47iKnJksEQGNvd4TFazzUA313SEgUOMhk/mJu3yELMz4duaeEQPFQWYmh51VkdFcXvIJSU0klcnQd1NSebMBC8qFBWCupwQCgpC1OGQHLfewoJbqgT9ur8FXPmZmHvDP22jrzvXL//pbAME3NZQSbQZbzrMinLIJ54Wshx/gqGtWSs2X3etE90Znwn2e9kpV+cXX3vB38vuveafpi/wkZSTeUnyF+95eqXY27Ld9V0fFR8nPXl3ILOxiZdfcU9KctYUXXue2veEfU32+C12ccBwHHTX5cHZl95tS2Qbd+bA0vC2JWs7tSjd/fuoqz/8Ki6rM3twGbyryhO6F6gkgXEGcM4FSqF14hcWtBC6tBf1KOsLTjcCjZGFRYdiAfdFKUQmJ5b/36woFyCIkjhmHIzfFyVyajtI2QDme/RlB5GkpNLqEkXhRjJrB6T9Q7YtVNoh9gKlEfdNrIOjnS+KYJ2kvIibBEUzc8pTwbBBqM0p06aKbeG5F95pa/xtZTuL+asff9tuDGWMGIADHrtTzSzOJKGZ7wtNl126WzLjUZsC1/6jqrWa+ruU0qKfdkcfEqFXir2jIHeD7LDHHYEQizPf+k8ws1+xotc3Bko/fNELAJxxTgRKQp9+K9W98GbCN1mfMw/V2CPXuQCArPwNA2XFcvpb/wp8cP7t9lhVe3bG1aeILZvxeafHZPQpYN44i2MX7DssVPPjwoTeC5VEGGarsAgx8/hTWQYNBYQuxT6KRUmcGfBXRVwdDkUBvFHEXkp8Fu1/4G7Z9dz/wvqv883Qvx9Nyg0TfnqyY+Cz9/tDdT5svOquxA2BJOvFRlxm0U8VJHG7G0cQBDBD2ynbWufIDhsMtfse0Op6P82e/poPHASEQmIGE5oaSeC112Ttt8XtZlSu2272bPxyvrD40Zdsjn7F8K6p6HLG5VlRjs9PvEY5ZPrjAffxpxHp6JM0847rHDQ/D8bKld3ufzy4D9s/MODxO2a7xo/8C4AufJR/DHql2BtqOKu7Qn/IvVcHN/24kL933s3tCnoDgGS34eLpj/nrXkiiTKWutRt8dPHPQj9Tt54986nAjDNvssezmGbLyeTBLvy9vm11xFGQG1chl8KxI8wV9yaWuZXKEhhj4OAQoqRKaKXkgNHAxvWdL2bLMrhpdBAl4srY7sZxWJWOlr1FAbE7E76HeWMDPOedZrHddLsqn362ps18N+EnBq8oB/vqY0cQOcmF9ohScmJPKbhpRv08CaXbw20JSMT/noCVLdqUxBZzYzDj8vs7BBdkDSrDBZOO9u8s9nTYCPx24vUOAPCuqUjoOj9cdIcdAA5+/fFQ3kvTw/UrNnDX9x+J+hef9aiuuQ8bHxzw+B1vuMaPvLInr5Nq9ojc6YlCJVHtrE5sVwz806GGsyif/frsG1HzeDBdB5GSDMaIMvjIsl9pydf/tf3p2fviWmsQrXKXhrKvqlaOVvbOUZiHIaccpQ8/+0/hEef8OTzsjGO1/NFDBMOfmHEiyBIMZgK8jcsgCv0OHmOw9as6nTXQ4fuCb65o/4VJEgxBhGYYoITCIghAaKcHuNMFs2prcquBnCP88WxFPvKYpFckjaW/w3X4gci75pJgn8l3+2kii9xJp0qgMWPhaUuEFABQSsEMA5zFr/aixZISsY8GiZLBUho8yOAWS7c1aOHNk62fHX+lJVRdb4qTrjYsDz7aPUuvEzKPPtA/8F93veIaP/KqnrpGT9ErLXvRIpc7CnLgq0p8AczdvxT7XX1e+J3Tros5NTd1I+HBSl0OlL7xH5/PaZejxVSSNUtJ5jF/iUt4MgeWWU6c+rC/xR9LECUaRrIp5IiHb9S2+2wjGSGJ2tjMy7/82aEHQ+CmCUGWQZKpsUkpODdamiYxa4SW7jtI5dPf71ckTMYAACAASURBVNTNQQ8+XBNHjiLiYUf4ImWXwCFIpNmWacG6LdTusEPY/2CTPvqcGgkBanlZ7ZK2en3S97C5djVYdbVJh+8DtnJ51yfsBNtWBfrqU4o7vwBin5FBuW8J1FVxbvqKkd+mK6ggwNSj56dvu0Ar0NYF2vifhZLNAjPBRHUJ0aYvQm4unP/4e/jDwyd1O1+RWhepGLjiX9PsW2aXYeKVJyTli+rqs8o947jmvndf9ZxzzPB7kml/d9Mrxd5ekLPc1acwYbGXHTac/N+HAm+fem3nea+TCC0rufc69bP7pziPvPsvHmeMHbMZoiZkDenHG9dUdBoRUb96gzbnir+5OjsmEcZefErC57SNxiGIHXrpyskAb+rc5ST276/hvbsc0IIt7QEoHAxfn4NAGzYiU8gGfntfJD+/096fO/o4VZ9fF1fEUSyC/37M7nrxFc1/2/Uyq0k8FQNbvRJs9UqIfz6NFD56jx+myWGYjIfDYB6P4P9hgeift1DRtrQPF+RJzjyJQHmsTVVUEts820lkHSWBe9Wa6UbYF+i52T4hIDYbbH8+XrWdeTr/+Ozb7d3ZmLYzwcpqqLUNWD9xX6Ps389r2i1XpyTxHQDknXdiY5+b/+/FPVXogV4q9o78nPXufsX+rfOXJLRwds4Hz/pnTbrbrvm6ngVGDND4kIsLoA3sa1b9uqxT68H6wt8c5zz/L191lZcHG7x0xbufyZU/LZIVtwsnvPyIqjZ5TUIpT+WAdBbnQ61uSLg9KkkwjYg4CxHXQtTjJN4+/o/2HwzYHUAoCBYIAAEfqCKxVqHf0bFsNLV8D26nHfBHqffcd4ypPfVQol1vBw/4wZoaTGRnA0mIPQCIY8eHmdNt/njopHb3G5VlFJxyJArvviVgy8s0mc/PjfoGQSvfRKjLkdTYI0KkcEy0v0lWBcEWI0WgFKaugyUQ5WVxO6D5gz1StJxQCjAO5cCJumfcIfLXZ9xOtR5IVsg0Hcv+8YI9eMmpoeGXXKZpr/4v7vUYEqPUWumdV9Tmn3vCA47RQ59PWUd3A71S7AFsyR5U5gUQt9ifOPXhwA+PTpU8m6riutm3a70owjqwLwS7FcEV68Faw+kohfvog+A64fAQGT6IvX3mjRH/f2eWlhqC4/FrnQMBwGpDv6enhV4YdzZUrx+Z/fuQDy66wx6sb0KwPnX1WXKGDWCNvy1PMnStTZx9jPclGuF2T0XlvgdDWPUNg6gAspVDkoH133f0aTiz0VwTEftMpwPwRaltKyomPN0XDP9fb7O6/vua6j3/tKRmCfJZ5xvfnn5rh3uNaRqqZnyGqhmfbV/7ER02OEcOQfbYMUns+gEESTaNcPQ0GPb8bNQEW0JVrTbU1jUlFEppy8k2x0w6Hfkjh4S+uO0xayp207aiB1VYjztGFgb0D0t9+wlaY3OPhkuWvzbLOvjzqT4kIPY7RzmJmRkYMPm2rZlHTXzB2r/PHi30QO8Ve4+zMC/uRZp9zj9R91fX8Y1z58W/0cZhlwreneLxN3ppU0UlMcIaciadzS12G+OcwwhrdNOvy4RNz75lq1+9YbvIxzt+jCNOCy+c9mHkaMbwzglXWs6Y+YzqLMyVZl50OzZ9uyD5HaBtKBg9NFTz3YKES+sxTYcoRW4f3TAgxVicpJpK2tmWnloNv7zXdZIsZw6ayzcCANxOG1DV0RXEaXIRLR3a8ftgbvl/9q46TqrqfT/n3Jje7l1gA3aJpUMRAyUUO0ABvyKiKIqBLbZiNxYiJtiEYiuhKEh3x1JLbNf0jXN+f8xsz+zOLGvAj+fzgd2duXHmzr3Pec8bz3uQWZ560el8+N7w2wzGJEAJcQLWHC6UL1+PyPEjwj4N4A/CBknRFSQRmuK72rIoQXE4wwq4bvxorrDxo7mmHuOGq1fOfcM558pJIacDN4fKA4fxQp+RsjE6Ur7ys5dbtegxIDhH4ZrtJKlzF+jbwm/GYunSQct5d8qftl5drqcGObw0of8oTlSy55LVHJLlFNkuFV2uHKY0FZANhA/OvNoIIGxLsKlK0xqIInDVBEl4/j2t7cB+noO/rzJmDTvTXb7nAFGdbhxe2ZKenoERndmGH5w6M+z9vGUVMLeNhoNS4nS6YYmPabSNOS4apLKsvhUa4mxHzFGo9GcIRVotgCOA35/IrebOctx3hzni7fdbREI8fy874+d3XH+ef4s5VB90OIHTuhAMMguWC08orVlxEgJ0v/YyVfN4w75XNnwwRyrdvU8Y+soD9p9vf6rV/N4AMHr+257N97/YKgWKzWHzs9OtKV+/ZtcnjAnpM1RnDKXcPLoo+dpL50T06347gJY1rf0P4oRMvQQQsEinESjFpR8965w/drKlNZesTSGUh5wPGa7/cNsUbd+fayynP3KLfvmc1ys7j7wAS6a8bTyydqsn+8KBrVbEIVtMrCXWm6ugBDaTGVzT4OY6LImxjbZJPbU7+P4GnbuC+EXrD8oML6fwajokWxTMsYlAfDsgJQdIzALi2gJpnaFXOFrVv8wcLTM43U89YjMe2Ia4gX1D3ofzljVYJYQEl1UmvjYEkempevo5/dWqQwXs+wmPtYhYC9fvoG0H9DKeN/UhhzG6ddSKJYsZnDFWsnzD3xIXaAjV7sTmd+ZQ4/yFKo2Na3Z7ITJC6PLla1vTbrvmpoh+3SfiBCJ64MS17CGZjM0+uTd896aj9OAR0VPRIvdpi9CUYFg1XJ1Ode997GGrp6IKMweNredWWHDPc5bRP81wHF23lZXn5R/zZC3IcotmOXdRKRJMZugVldQrGrg1Ma7RA5zSo6PG81eE75u1RKHS4QQ3R7KIpDaUSyaO9D46RJnV/EvKEr0ffXlMmTgNoR/YL8pXXKUqc78Mu4jC/d40c6+3P3b92n+MORR9lpayHRUFrngapEcSgsRuOehwwVne0n07hYKCArJ/8XIp79dlLRYlyxxymlJx4AjWvvuV9eqfZnjfP/XKY+4PccbkGx1bHwqvf/Cx4sCcXyyG2ChX7jMvMs9rLxj07YH7GcgDz3HI0daF1lN7X43jpCI2XJywZG+IsjUZuRv79WsOy6/zCLnwKpWKorG1fJPNIZRnT5dNaGoC+uqK261jf5uple4+YAe4zzXEOABOmM7ANI34kt/BQUmN5CyHzyr0tRkUOKEECekppgvnv10J+FIpSbX2SqCBEtTEZKksEZqebNz64/eiZDCQbmcPUWLbt1G4zsAYA1NVZA86RZaOZLn5wPN0rmuAroEkZpp59/Mc2Piz76GnImCJAnQNNfr0UUmociuAZOIR7hJgyxKC5XPr3at86ESPtn1rqyoOuqe9brK9MNXD9u6RwtbNcbugL/qRJAwdgKIfl8DSIR3O3fuDbn4MbhyulVYgrmMmOl42xJnYLUc3RNpQsiNPPrJ6s7HgwC6wpGgtPFm7xug1/kr1q8tvs2geDxxHiz04RuG47IvOcSdnZ/C/Hn7t2AbWAuyeMdtc+Mca9H1lssu0dSVV3nmr1kiQJFgn3X1QPv2MN6ScnJf+8cH9gzhhyd4YZSslgtCo2OeUW0erA64c5FWnvigrmzfK5qgYNeeSc7zb5/76t7cxBEKz7PVmqh41lxs75i9SPWUV4pp3vgg/oFgHYz9+vmrTtfeHvU4XTEa0f+EeMFXV2O6dotlikhOfetxHvpQCsgzXDAkurxeQZRBRBDEYwF+djoQZz7rIxp99Bxp2l4uVeAg8Lh2U+HrDpWWIZYVlIjF6hEijB7AHCM7akjRW0PKG3wHBGGhqGtW2hx/QAwDD5VeJ5n2f6OeunOkVklPkH9sObvXnSxBFcvaUO1yHV23GhvdnW5Y+O73mvf53XQcCAkGWiDk+Bkk9O0F1usKuN7n4/acdR9dvJS0SaguCzMGn8Q13Pduq/v9QwRlD5fY8/Hn1veazvnzFQ/AWIAgwXnxphemyKzaK2TkTaGzsjn9jbP8kTliyl0zGXT3HXYGULhme1E4ZmhG6LnqcVF/4i+S+cYy12u+pfD5LOuvT77xtTu3hqDpcSEp27jUcXrlZ/Bsblje7gjd67cSSGAdnYXDxzqXPvGMa/uVrjoIN25VDKza22MJlbk+LXEFElsAAUAIiUArUbZXHGODxoKYjlKKAozZRs15zC0Fm+hdTrSitJSQ6bAQqnQzcEMEi+/TTEG1U0OksDQntDJg+wQhNAWQLeANhNOmMM7l10k0OqAoDJ8R3qX2Vw2CEQtc5BIEAAFcUzr1ezl0ewp0uqm3dJgkdOnloVLSppZ2sHHfcJGV2zvV6331DZqNu0tDU89XSGBElbOG9L5j3/74qwCF9x6SUwpwYx9L692Cn3TNO2z5vgbbs+RmN+iQbIqxI6tlJzbnoHO/6D+cairfukbqMvMBVuvuAsOy5d021xz22wqfItinIGtxfzHvolWM6zrHCW1YBgeuq0LMXsd55z1ohM/N+ITFp6b86qH8QJyzZx6Sn7Bl0eqbXPfsLoz5jHxRVCdo7jFx9kSErIsIgtsuA0DeXqbdc4XBTA3N7VFl1ub2kmje4L0BW/TcB/A2Tqjsn+bahBlnWPR6FM+5zaTAQznSoHoXG5+YY6WPv2EEIgdvpyzOnFADh4ByQZEpdXkqF5jl4zlWTrGMWf+yYO+puuamJIRiis9rCe7Q47P0AwJyRhthzT9P4zI+IQCl4iPnc1jtuU+Aqq/XjCyKg1U8PJNFxqCo+ABgjeGTJPokv+FZCySGQKx9wQPN/iwGaeJiGX+EkS1+0wVl/JUCq/6cU8PdohSADoqHmn+H6x/TKBx41u556pMUOEGI2K0LfU1UxMVmtOFrW5KTe0nQAQZK45g2STum/HqrHy4s37xL2fvwd/fXOZ8XOI87TRn8/3X7gj9Vk2fMzrKLRgFPvGuvKHDKAl+0+QBc+8LJ1xFevOZ2FJYo5IZZ/MuS6en51EmaEgYoiUvt11bMvPNsdkRzPLImxIne4yalvPlrFdJ1wnRGmaUR3e7nm9kB3eaDanUS1O6jqcAuawynobq+gudzQXR44849CrXK07ILVQVRuNoxZ6WbjlGcfknJyXgSaV94+kXDCkr1otW527dzh0nftDM09U1UFbfNGaJs3UnzxqdUAIH7GR/byMePDdnHETHuz0vP0XY33oxR4n8EJyABAIqPAFQV1uzgJuT1AH3xOTevfEwUbtqM872CT55pz5STrZZ+86Pz8opstLExd9YTcbLj2HGjRPWBIigcrPEr5kSOUms1+n3vzkHM7Klg2rZZMZCtQ1WAVFRGFKu8ucM4QaTEDDn8OO60jC2yyNCJlITGaY2swaQZeS/QAoCu+f147YIqEtmevW1+3+piCh4ZrblAWXvmolYWiL9PCJiFUEsLqKQsA22b/LG6b/bNt8Av3Okd+O61SMhnFgo07pJlnj6lZEc4aPNYiR1ihBCDVYBNTZLtUdLv6ImdUZhsmiAInAuUGm0W0xUSJ7sV/keJ3P7NW5B9FBYDDvl3qBeup1QwxMgKCzQIpKgKmmEgINjPE9GQIFjNopFWlVotu7N5ZX3jhTRbd3bIVF5Ul9Hv94b2JZ/WbbstsOx1AAK3sEx8nLNkDOCBkZDgANJZ+DBUtXWoHSy9s4K/nAao/9d3bQXQuRGekeRK6Zmtpp3bHmmmfG3fOXxTwu3KVlOOPp6aZL5z2uOPbG8JrsBLRJgne7XktilVQWYKu+QS5BEoRagcvITaqgfQB9a1uFH/uuMkMLwgUKkKGTo0iAff46+Pq6MmQrYt51Icf2bnPNQPoOogBLXJn8ZRuiveXxcFjH0YjaHwiaGIip2ltPbRNO53GxHKIMgcVOKcUEATQNm2tgs0CVvr3iYkJkgStYTZOHRD/SjOQmsfC+15sMr4TiOgBNHoOZKsFw15/yC4bDWTVczOsazfVurs7/+8SpLucaun8Bc1mNDGHC0rTaqsSAMnSszMGzp7qXnTRhLCrei3tUnj/GU+tje3VZaQhNiovrJ1PMJywZM9KS9KJIB5bamJL19rHIK8MrxeGqhJv+hm9+NIXP5T/ePIt+fQHb3L0Gn8lM9gswi93P285umZzvV3yl64lKX26CmP/+FRzl1Y4Ue1qgt96rPm72tXEwTSdm+OjDTaDTJ2FpQ1MJgIQTsABc3SEgVdWeUFQI5fLGYcUHSG6LQZZ7NKFijYLM587VDP06+HXRuAg5ghRjJYorypRao4JgERZZTLq6UpwDi5GyqCyhNgE4KhPDoGkpqOoogrcYNKjZCrAXmdioLTmGyErvjCTFV/UH/W1j9p5sEI3awIgm33WPWc+VtQUgOsgGWcytmAeM4y53kMTkzix2DgMRsZlI7ggEU1l1HOoiDp3HTA61+8xOWeugHK4fnA49d7xnvKDixW1tDykVNNQAvWBQASBBxPpq+bBlmb6BD9prfHS9ow+ytmP36YumviErWzH3sZjYCzsXq7Nwbl+G8o/niOd9dVU55IRt4eckBCRk6EP+Pj5n+JP6T4CQOtFm49TnIhkT9Tt2x5Q/vz9Zufrr6Ye04FCKnf9G3Bgr9bu81dtsa/NcL3RZ6T851M+t0fOpYOVuI6ZaEj2ALDytY9Mxiiro3zvIdOmmd+EZOFGtE3GqeOvdCx7ZGpQBc1rv3m98sg1NzdySQnRkbA9chegK7py9KAoHI4Q6eLXa4m27whg216QA+sakR/3L+f5kCcqtcdur3ds0iYDR8rKAaMJqRYJKDpQ993gHyYmFdxRHHQDdeBDrm0/b6SCQWSCJIDpDIYIExdEAUnGLJnedA9TCorpgUdeNdhXbAh5ts6a/rRdSorjXBDELcPGt6jrVTgI1txdtllgjo8BCqtqL1MoBWwhwpaaiCHP3+NQKx1k9qBrgxKuriigsth6zw2lsHTNgWS1OKM6tMXAr9/cSggtFMxGO9d0kamaRGVJEYyywhRVUu3OSPvuA+lKlUNuc/E5C+JP6T4OwD+TV/0fxwlF9tzjSVa3bPrU+fIL/dV1a4694Kalt+wxPmTamhUGessTanlBeb2n2poUpxVvywtK5H9MmWadsHG+cmj5epTtPhBssxpUHTwKU4AGJ/UQ5LPoFVUwEwpZluGuUFClcNhs8YDdH/CVJAamNU2agRq5ZHbCgTWbgNhEnhYbBb59Te2bdSz7RjDZANUd9G2lqkr9duIzQeMvotkEKgrSTb/P8u658jaDZ18A4bVgH0KU6Obbp4TlDjPHx4i2lARwDtQE4wlBw6Y7NU0/uM9qjkhLFLyVte4W2WpBt2suQWK/ruCRZiilByFLMjHHxSK1XzeY46J9Eq3+/Tlj4DpDWd5BeMqbd13H5mTw2A7tLBe8/rBj4c2PW5vrkMZUHTC1rFCv5jOLIhJGX1QRNfDUQ8aMtD1yatJ8U2abFQD2RXbvFIpWfRQAG4BQv8T/FzhhyF7btXOcumHdZMezU9pzV+sUwLV4OUyOzXukZXZkK3/eQla88lE9H3zprv30tHvG2fvceBXXFAWc8zpZjBzgwA83P266cPqTzk+GXt+siJVoNrW8MxHnUA8eRlpuGt9ftAd7Dh1Fz7bdga0L/RvQ5mMeDd+3RsAtSKhyuyAZDEiOtgEFdTWomphEDSZAC55G2tw3qbl8E8Wc6x80jPjoBc+WQdcYQ4lD5N30cET8yAu1Tk9NUtZcOSnkauH49u3oOc/c5SCEEKbX6s4zvUFcx69dTyjlhFIk9ewsOQp8E2pku1T0vukqHHSUYW/xPt2+qRhQNKKVllNrl+5c7JRFzHHRvmo7gYIKviCqZDJwY1Sk+uPEJ4KuRDKHDlD6TBjlVexOWrh5F37+373WUHR/CG2cJRUqBJsFmS8/uMvaNWeNnJb0piE5YQVaZnJV+P+dRB2cCGQfra5f+6FzxjtnK4sWtFpDDwAtZ/tjsOxpz758vzlVW/7S/Y2CrfsXrzDuX7yi2RXLjxOfxJXz3nB8cfHNTQZsU/rkonznvrCt72p4tmxHzqVn8f0blmLb3nx0G3QqhH1rAFcFQEUGzpo8NomIFhEZA1T6/PIkNgHl/t7BcbGxIBVF4HUzaJq6rILcZEZQqFo0R9dvx/LPvpeyRl/sLZw5LyRrPXrE+d41o+4OvbiNEDiPFCnzx4bfqHzUd+9UAZBT+3VD59EXYl3eDijxNt1bXA7ZpQqyV0diTAI8W/bh98ffgO5V/MGaWlBZxtCX7mtkIQuyhB7jrnDlXDxIP7RivfTV8NttYAzD3ngkvLzHMB4bOSke1t65WvyIYTuNGW22WHt2mSSYja1cLXcSwHFO9tqe3cO17Vun2J96vCOv+Bsm8n9IHA0AcM75qn3wcPf+1dvob+MePqYUwJLteeL2eb/SMx662f3n09OCWptJPTvxsi27mp48miiocW3Ygo6JSTw20obSSjtWbN+LAX0vB5Z/AYRi4f3yhEV6fKpHffZ+I4qOAFGxqHA6AVFGlNUMVDVUlm2Cr2UDoAfWefch9NXW6rc/Ezp//aar0yWD+fYRtxqbs2iJJBE9iBJlwO39jTxaBoKcSwYh5ey+WLZrM6S2Sbr3SBHtltSORERSFG3dA++6PCxbtg66N3DWjiiL9ZrNmONjMOC+Gxzxudl8/XtfmT87f3yLaw16XnOJo/ixV5s1SKjRgLaP3nooZsgZX1u65nxJRGEtTgZR/1Ycr2RvUTdteM8188Nzvd/Nb3lqZXNoaeVggObKTSIqBod7nafMHnpjRGtNMBs/+to8Ys7rDnNcdNBmJ/E5me7DPyxpOqjYxHD0kjKwqkr9zF6dMX/JKmzbewgGSULvM8eBmKOaX4C7yoF9i7j02Gte7Y2nCImKkatcbsBg5BESBO5oMO6mVkyyGdC8LXbjNMSvU962XXzXWFcorouSD76ST18yy138+2qRqWp1v0bizDtIj3z+Q6Mxcc5bpDcryBIi01Pk6NO6YemurTC3TdS1Q8XCaVkdUbRsI9bO+zWkLB8qiuC6juisNvzMRyY6DJE2LH7wFVvJ9mPLTIxolwqxqASubU33BY69aJA9ddJ1q229cycIVnOITXtP4lhx3JG9dvDAIH3n9lftTzzSlRW3rPozZLSYeMMje2nAQGz67Hu5tVcSP9/xtPXi95+xf3FJ4F6cxkgbC5pbXYPgYyIGGdxZxeI8BRjYOxeLV2/G+p37cLCgBP2HXkSSu50LlOcDniYESAWZYflbJuG68Q5e7uWeFSsN3GRhZs0twN1gbLQJg9NgBtTSVrufi3fsA5FCO1zpNwtES68ufPehAlqwfpvgq7AmGPjILY4jn//QaJXmkykOf0x9JoxCfnGRsK7wADcmxzLxaIXQr31nbPvsexxetSnk4xBBQM9xw81R6anO7256zOYJQRqEUgrWzEQS2ykTjnVbg35J1p6dlazXHlktxUa9Ze6Y9XnIAz6JVsHxRPYGdfOmNzzzZl/m/mxW8+LUrYGWNkMO02evt8n0Vs7/pVWF2OI6ZbHzX7nPlXp6P+t5r0xm6z+cR52l5TDYLOg3friHaTqJzUiRUwb0wuE/1/jiu361y7o/iV9LJhC4osJbrglS/mZkZfSB6fTe+GPdNpRW2vHdgsWke5tYnHLa/4DlnwLuICqeBzdKZOANHjiKJJIQSVlmjoYDBwlx2+tXvAIgsiF4ArfBzOA5HNyy5+F9KZrLDR4fW1Ow1Rzkvt29Gx57y1o3KH7wr/Wsw2cvVwKAaDZRo6rK60fcYQAQsOipKbQfdiaQEo0VG9YIksXEouyqkJ2SjtVTZ6Ji36GQj2OItOGyWS84Z191h2nfwuUhuQsJpUG7Y9VFr+uHOwtvezxg7KLNAxOOJIy++FtL5/YT8f9MpuC/guOC7PXDh/pqeXum2598pAfLz/9HGh8cI8Iao9I2Wy3ZMa1Vyd5TYaeRVIH22ETSfey9eiZzujnAqdlMHD8tsOjlFdC2bsDAhyd6q3buV6snKEIp94mhEIASSG3TDKaeXeFe3zi3H4zBsXiZbk2XgJVfISWrH0ac3R8b9x7CugIPNu3IA/EmoV/uucDq2YEHWrhL5kveA3LP8aLiiOQpqwQ1Wrip2wCNnnK6Aq/LTwycc7c9+P0qG3U4g/vsRTH820aMjRIzPnrRUdedx2vSI7mPsghAKCVlRaWNCPHPZ96pSRgY9MzdWs6wM/SeP81wEELAJClkR05k2xRknHcGFm9YBWtOOx6vUKGtbMNfz7+HcAT7ZKsFI2ZPdX43/hFL5YHDIe/HOQcVxWYJ32A1o/M305Ujb3yM4i++lwHAkJaEdk9M2mXr03WypXP7eSGf9CRaHf95slc3b3rEu+Dnm10z3klusaXdUrS0yjGc1EtZhm6JIFoLdT+CwXG0CCVOIHXNX+AXF7lLp75jY/b6bhHvzj2wjLxS3TG6cbPsamQ9NlFtKgZBjAYO1QOAA3krIRzehl5dhyIxdyD7af5cunnPAXTvcBYMBgvgDdIWWJQBr1skRitcVQfARUG3Ht4s8pVfiKgKUeBNMrCmsnHMpavI/+a/4lzw2AxL4YbADSwawuPysC9uf8pKKK2XmMV15q9K9nn6CAHc5U03wFn04MviogdfFgEYiCBg5PxpIWW4UElCz+uHY8PenXArXqTHxPAMyvHn0+/AWxl6Zy3BIGP4l686f7z1ybCInlCKtFO6Sc25cABgxRufmFL696RRhHikxDi0e+TW3ba+3X609c59GMCxK5mdxDHhP0/23OXs6Zr+dvKxHEPqP0AjtghGDAYGSeJEFDioAIgiJ7JEiCgzCAJgNIBIMogkA6JAhKz25oinn3X4lHJpbXNPSjmvrKD2p58KTJKhegwohfPZD53fTXy61az6Affd4InJTNM45ySmTbwAAHzODFv0uKudpVOn119iqyposNr76iFKItf14A86NRkApU4xk8cOrJ6L1OvP54mxUSg4WoDi8iqkxWeC9L7UCcY4BNFHzJwTUCLBKFu31wAAIABJREFUHEX4/lUibHFwehSQSEmwJKQAUhhNrkSJgwUne7L5a2tGVBuMf+M8J4u6hW376wj55qZng05yZz81Scn7dakQLLh9TOA85Fuky4jzUAYFh0uKIFCKswacwX8YdU9YRE8EAZd/8pLzt8fesJTt2h/eUBmDUuXUwFiT92h8txytx4RRGxL7dt2KopKOaXeOW2br1WUKTua7/2fwnyd7EhHxeeS7H6a5P53ZW920kfLysuZ3qgtKYb7zfq3o9RlGXu4C8yqAqoHrOriiIOGhuxylkx+1cl0Hc7oAjxvM5QFqlQsDCjqlfv5BUFMu1PR8YeBQrJg+WyhYv+2Yv4fEbjn6sBfvdkfDRYWnJ/lIzB8C45vWwPLAGD1Q7SNvTrud0qBaLAAg2KxAeQDiUV0sJsKGgqMFqHQ4kZY7VOXFeTJWfV7vepJhD9j5vPttoAL0c+6AJhjAPApozmkgRovKy4+ozJjEfCa0fx+zhdKEOBmHN7prJmGDTeTbmq7uREU+yLrPLQKAzoMetn/TxKa/PfyafNXXb7kSumXTok27/pXnJDY7A/H9crFw3QoAQPesbEga0ws37QyrbeLF7z/tWPveV6ZAMhuhYPEjU8URiz52zh023hJI0bPnxKuLcq+7/NOk3rn3AdCQ9M+E1E4iPPznyV7q1GU2OnX5Rurd92xt547H7A/e21/fvy90Byxj0MvLtap53wd8Wy8p09Vde8IfWFOmGQnNbtNze7urli8yDXnhXkdceorOGYOjrIrmLVpuOLh0XUga9fG52Vpa31w1bUAvMXHNj1b9l8AUJkqgQnQU9PL6hhZ3OpsufBJFLsbHQoyL9aX1UeLrOOX1gisKiMUMFAaoWOaMy6IvMUPVdJDoVI0vfKWxqV59qZgOQXUhOiGZlew8QPO/n482mW01IsSyqnFjGlngtjffctDiJTI5uCq8VZElFtA1CEqVfMeKWc6fp7wn7/xhSSPyPOWWUWpqso1c+ubDbO2HX3vXfvh168VUCGk+8YoQdB19ITbm7YSm60iJjUc8NcFxtEhFMLG3ADj31cmOvQuWyXt/Wdri3Pn8v9YZfpj4hHjFTzNcs4dcZ652bxJKMfjNR/emndn37rgu7ZuaO0/iP4D/PNn7oVKr9Ve5d58/It96d4rz7TcmeH/41iqkZ8B40aVH3PNmJ7HDh1qkUdCMF6OJHZt4WkOcikhEJC566R6vevcdVn2fr4DIajaj3bBhnL99v0NJTDHZDxe5j27Zhd0//GEt3LSzUZDsrAdv9Gau/9aCHb9AX7Ms6LnYj19YI4Zf7CqfMbNeXr2af5hYOmXBGSTH+uhn3xsyH7jBYb2Kg1CCmFM7mciahW6IBp/fOtIsoN3kKpKYZuBeD4emaKAUMCeZeFK2zo86uZbUkSClo4zUXODwloanqBV8cFfCZLSAMwZWVgrn5x+a2L7A47LfOtFqffYFp9gvV8WqD0LLKhn0gIN7BV9T3vh2BnLHJMtFDz3szF+9RarWfDnr/hs8/Yb21PRfvhPUm0abTBlZOHvSZEdrkr1fkbTJbVL7doXbSHG0rASSIKJH+xysfW0Wkvvkhnye0x+c4Kg6VChs/vS7Y+7VW7Jjr/DTnc/Iwxd86Nzy3leGPV8vFM//5MXtKad0H2lLSwop73PXrl0PIIyJ6iSahSc7O/u5UDc+Xsi+Gh6xfYf7LLfevst01agLaFT0KjGn47vyaad/XnHTdYN5VWDPClE8wRldZy3K7iFGo2C7/wGn+/vvJW3rlpbpqL/2pMn6+FQ7f/hBhSYkmrT8fFZ+y0TZO3cuwdy5VhoXh8zp00jaj0ssfSae6/W0u0OpcnhYVVEF3bdktbT/91VGze1hbOUfzZ9r7V+w3nulVj5jZr3X7d/8YM2afJtz05j7A6bM2TdsJxtH1gZwz/xjWqX05Zs1gmJ+yjI1pC4y4Qm3sarMRMrzsf63fOSvX4Jz+p2JSM6BI3V6vDZYBDF/5gsltNmUR8fk+yyGceM9pm6XO7FpXuPxx2erpM8YDwSZwF1G2e48im/f801251/PSUwMVx6+y3LLt687NbdHF51VnP2xQPbcWdtche3dA75xLbvt9/fsv70917LrxyW0GQ32ZkEE2mTxk2g2YegrD2jfzvtGBID2qW1QvGYbyvfmQzRItNPlQxTZZtVlq4kbIiMYIb7MqboLyrQeOXJcRqphy9wFrab4WLRppzhr6DjxrEcnusftuIcZIq1DjVERoed9Asbs7OzHW2s8/9+xa9eux8PZ/ngjewDgYmb7GchsP6P6BbFLl7HmGyb85XzlhbYBdzh6hERdPVyp+HROI1IOtelGQ9D4eInHJurWu+72Vlx/XYPjNlXpKUPo1lsTTzndQ5OTGRF1TmyigHU/EFmUmfnKES7XV7PNAMBKSmCf8Z5o6tJd1Wa8bDAAhngA8bKM7AHnQHn7LqfQMdeIj0Mbs2SWKI2MAKusnRSVPXthkBg3tk2G5+DRcC9DcNgrWKf0ZJQWJmH/kSKUVNjx57ptuLBn7/pkXxcNBWxC8IZ5P5hhlKfPcAhRq3VU5NdzVZA+13jY83fYwBgQEQNU+eI9/KJb7JpiItqGtVYoCrw3jrIAQLCpRXn/7QjI72HosIvdw8ZO0TxGKyxJCYZfX5xF1304L/xniPMmW/2l9ukKc3Zb0U50CJQiM7kNls34FgDw461TLMk9O8NVWo7yvHy4Ssv9apa85ueZ94x1R2xYp5XcP9nc+a1XPIvDHmBwZA0dYO8w7MyfrCkJzwuSGA7Rn8S/jOOR7BuBGIyHxfYdDgOoIXuS1QGWyY87iSjCfv3oiMhbbneT60ap5R/WDxCCtcyyPzj4IllMS0XCA3cE19UFQCKjYRh/m4PGxurEZAIRqYA964xYMdeKssKGmwuWW950uObMrUn79Cz+zWC95j2HNu/T2nErCvTffobw288W67dLWZMDqAP24+fWyCsvbeTKKX76ZWvOc/c7N46+NwQxrxCLgVQvl7b+hLOzO8OZ2wGf/fQnKuxOEEtMgyPUufzVTUWqC7tCTFmx3znJGjXrIycWPW6Bu1a2lxduo8g9TcempUI10QMAT8hirlvCbDepKFDnzzGp8+cAAJyihMFvf+wyRVn1Za/ODMvFw3TWZIOblD5dsG71GnDOkZ6UitLNu2okL0q256EpWYMBd17rSXOW6aVvTrcCgK6orZav3PP64eX9brvmxaTuHZ9trWOexD+HE4LsAQCSVLO2NlxznYd06qHnXz3eYuiUo8Y/+7LX+/lMk230OEdDsuct7AUKjwfanjyolQ4e9cZbTsdrr1q0PH+g12+g0oz2mmnyE17ywSOBiD0g6KqvjbY7JznsL79iBQBqswGe4G4DlrfTBSAknzVfvRTW+6Y2cuVoh47A2iZeOmvBq5WcSuBUACe1yfWEMxCmc2ayUDk5zhwS3RtMQP5uoGAnaP8b6gy4Ke7hNa4IjtDJHi4nKibcaol64V47/nitRhqCRCSDe1c3ZtXWkKXQVPCdW+ipXZPR9dfpjpn/e7BZrfdQENk2BfH9u/Fl27aDAKRDalus/Wpm8zsC6DX2MqVndpJW/NCTtfdDKzQwSerRSRv07N0HI1ITX03omv3mMR/wJP4VnDBkTyTJDpMZ1qdfdKguhR658Q4LAHg2bJaErGwdQy51F78zs3E2SBM55KGg+O4HzUJKMlLeneoqu2qEz2ImBOIZ57iNI/+n45VbrE3lfzf6HGsWiaY73oZ9qu+rif/xB6b9MNsqDDgH3O0EW7eywR7hEZdkM1LrkLM1x+I/xLo+ce1ogUeYPjkS8NnagShCPHUgkBLnRpB01PonMgCKx1cwVW+4Da53XTLi9ROZwipOczoA6r+dCQX63+BkW7YJ2Lm28UdpJQ0iIojc9fHHRtgdhpvfe9RxoNBJ5ox/rNnVEWcMJEihWucrh6FUYsxVXErbpqTBdeAoQimCan/u6fqAIb3VotvurT/xhyjtHAimmCgMfOK2fe3O7PNpYreOTwJoYfODk/gv4MQh+7h4p/XN91xHJ002q/sO1LKEpqHszXfV6BuvI+5N21X38tX1U9DCVagMAP3IUVCbTYyZ+7WblZVpYnq6STx3sBdTbwtbqpgPvFzVSioBfyyhdOQoKnbupBCjSbeMHiN6D+6XUFJ3lRDe+PmPn1tTHrhJUSdeW6UUlpHKr38wOBb9IetlFRRGE+BpwilEBUBTQzuhQAGmAdRUE3Rt1sg02kCMvvmSsTAsewDmSXe5sXW+b+deo5188y4Zf84POCm1WrdJv+9dLyqE/baJ1sS+/ZTblnzonHHJHRZPReNkAclswuWfvexW7A6FqWqjZ88QaUPvW0ZpH7z5tqCpGnIys7D647ebHUZyz064YOIIT8H1E0PX1G8GKX1yvcPefHRJ2indRwEIs7jlJP6LOGHIHkbLyqLH7r5a3de4HV/V7G+M9m9/QsoHbzsqZn4RYOdjx+HRN8hacTGgaUh49Wm3pXR92Kmg+q1v2h1fzBXdU26pmSS0ffug7dsnA4CYkeGAQGsJTBBB0tqa5Ueed4JQTmQDqElmEESizJ9r0n/7qdH3y5b/Dpx/uYdMuSPCIIpIumCUpk/4n11ITjWwn6YBaIbsMzqLKDzks9oVL+D1AF6373dNrbXcA1jlPrXHOmFQ0QgemSSTy5+zQ9c4N1gM5MguqcbyDmMipgnxOnYV+yZyYwTH2t+Crj5oZIRkeeblSug64YwRarUCgqCj7szpF4MDQWPtef/4SHKaAcKnNS+rq1fJ9L5J8sRvX3XOvOU5S/GW+uq92Zec49nxzQLDxo++Nl0w7YlG8gE9rrsCO7dvh72whLTJymRWKpGizTub/NzRWW1x1fOTnAXX3mQJmL3UAjdObHa6fv5bj81P7ddtJFrenDMkEN9SbgqAa+G72kUAzuKc2+tuw8NoJEQI+R3ACs75A4SQsQCe45wnBdl2OYC3OOefNHG8EQBeBRAD3/UoB3An53x2nc8wHMBkznmvUMf5T+NEIfsI9+q1Ez0bglcIcq8XEBvXlRASXEgxHGiHa5faRXdMNmX8NMuOlb+GvD8fNlapmva+wbt4cfA0TkGssfgB+DozHd3noN+/5dPB1zVwRwWQ0QW0/RmK/ttPgY9DRQprBOCoAps/SyTzZ9lCcWaxFb9Dj08U0b6fBrNFIyYTI0YTh9HMSEqagSiVii/ACkCSBcQ9YIdkILo5VebR+ymxWYH2A3Rii/OAcwLFRfiqLw18/2obVA/Q63JAj9XBeXg+ewDEaiXVEw2xxBCuBK8MpqpdJR8/Gl6ANhBG3uGBUP+eYgUFcNx4veWaL+boH15xJynPy6+Z9TpdOkSZc9UkX555g48myBJ6jrtC/eKTTwQA6JiZheKtTRf7mRNice37TzgLr73Rwr1BmqeESfbG6Ehc8uFzv6f263Y1/mai9+M6AJMA9OGc7yCEpADwEEI+AtDPP4bJhJCbAPQCUAjgagD3ASgBsBPA/QD6Ayjwv9cfQC9CSGcA8wCYCCELAXQFMIRzXrcuIBmA1T8pvA5gDYAudbfzk/psQsgXADyc87EAQAjZ7z9nKoAnAKTUef0wgHQAiznn1xBCvgJwNgAXgMs45+ta5/KFjhOC7JnL3ca9al188xsGWL+3QgALsgxjt1wIyUkglIAzDsfWgybbLc95+dLvDFA89f3Eguizhin1/U4oSEZnLnX0CKyoCOquXXXlGmqHKongSv2HmjCN84oGuv4Hd0I871pVfO41d63GQM0egEGSxGsnurW3ng1DfAaApkD/ehbgu2/q3TvSk69XYskTjQnUEgPeYyRIeT4E1Qzs/F3kf74XJHuF12uwHaqLShpynibwIxzJ3bwke5DKNm8UoAXu0gSgdb7zJsDdbijFJa4Lp0+hC+59QS5Yv02SzCaIJkPttyAI9e7F1FO64+ChfOJwuWAxmpASG883LlzT+OB+iGYTxs95xVl0w0RLQ4G7emMJccxxHTOhOFwY/MK9W9qc1nM4gFbLz28GvQBs9RP9twDOBHCF/z03fIQ/HkAugDYAPgbwCIBfAEwAEA/fjTICwE7O+ef+iaGuZW/xv/8HgAsABCsCM/vP3dx2dbGCcz7Jf566+AvAjQC2EEKeB3A6gFkAFgDYFcJxWx0nBNlrhUWnuJavimluO72oGBAbWMcNHrpwIWWmwzb6KhxSFRRVVoLD58dlu3eLRkkg1h4XaPKRPBFMrwk+6ozBIElgnEHXGTgAvn2rgffrqVkHDlSTyssF95dfUe/i+hnSRJLAG7aaC7S61TXwafc16b+lt0+tAhAe2Td5wCAESmoVIwkhTXf/8jV4qtXWbyI9sS4sN/7PQySJsl0HKf/6Myt2BSfJ6jG1BjhjNFhDFa4zPuv8cZbR37/j+Oul9/XUft31lW/MqnHPJXRpL179w7uO/UtWC/t+X2nqef1wbC84TLzllbRjZgeUbc8LrklEKSb8OM1Zets9Zr0keAaQEBcLajQ0+2E7XXGu/aIZTxVwXdfMcdG5AFpVbrsZrAdwLSEki3N+sX+lXe2C280510n9kuPqG+03ANPhI+j3AdwD4Gf/ezrqc1sJ57ycEOJE058t1O3qYkeQ1z2obbPIAQwG0B3ANADP+3/+ozghyJ673al6RWWz25W9/o4p9eUnHTQ6ilYtWCJWzvpSJqLYYrI3nXYqpAvOxaId23GkrkAboSCyBPxRLBCTCVJKvI6SI8G1SYj/v90HRGgqItLS+dn3TFITH3uYVTzxFPMuXuwjZeoPetbbt4XEVbCfIjEVKAxd7rZJBBsHITUdjiglTYvEcQ7q14rnCJ3s4SrlsCboWPi5mT4zR0HJAQ9EM4XRJKCiUAGlfmuegjscwt9t2deAMXx2/o3WEXNetyfmZhuXPfcusSYnICo9FaYIm7D/u99MHYacpqVffJa6bv16sn/vXmKQJLSLT8b++Yt4r7uus+deNoQBHOakOOmDgWPMYAw3/TzdUfnQ40Y1/1CTHyTmzlsdn1z/WNAkAUtCLK765q0tbfr3zHUWl4nGSFt1ts2x55CGjg8BZANYQghhANYBONhgm08AXALgEHw+/as55/sJIUf82/4J4CkAv/u3XwDgYUJIFIClf/snCIyBAMYB+IxzvpUQshK+lYkK3wT3j+O4J3utqLiDa9Xasdqh5klLydsnFtw52UojI5Dyzmsu28DT3HJ6u/CtGFmGbcRlcHXIxC/r18HuccMgSeiUmgZRECDmdNDkaCuYqsKrKETRdZDMdno1zwmCAK/XC0IIJFFE3fy4Q2WVqCwpwncfT5cG9cxF24cne4qWLvXr0EQSmt4exBbhW6EAQESMiM6n1JJttQ0UKMWR+YuWCAUvPGCV7p7i1X/4ygBBRI3vuaIU/Ohh8IJDvoBrQ0h+o6uuR4xzv2VPANnkS7fkzPe6bAGDj2wppSCUglOx8aQFAEyDIIgcnEPRNBBDaF8NScgxQDYKZMqXHhTmMT7v8QgIou/8TK+3eiE3fezlGpdx7ijAZQdcDqC8GDiU57s+TAu9j0H19Qw0puqflOLPp9+xtR92Js59ZTK8hKHcXoW12zaRXZUFWPLJLFHxrzQFSjGgS3ccXrgcBxctlw4uWl4TZG5z9qnKOU/e7mmXm6V5p74pK9t3Nv/sSiIcTYjpDXr2roOxHdIrKvOPeiPbJJsAmCoOHL49ql3qP+XCAeecwedzv7/BW2PrbGMHcF6AfdPr/EnqvP4cgLqaMR/5Xz+1mWME3c7/+shg+3LOP6re349POefv1Hn/lEDH/Cdx3JO9XlF5huOnBSnh7MMqq3Bo1DgzAKR+/E4lwhBnImYToifdijyPGyvWrgXjDDFWG87J7Qph7QbopaWI6NhJNe9YYoK9HDCYQCSDn2ThI2Km+4qOGKvNYOEcEETo6Z2wnERhm2zUF27ZLZye2lloN/kBMBCUJSXJ3jPPhdPjgeZf4gsFJTJisgHUb3VHUNtco+a1On8zjUEpLqeKMQaM8RqLOzIlGwmd+yIhMgKUMz8B6r5xiyI0v1umbj48JQSsXY6JDr0LXkWFqumgfq0WarDCLURBs+2FFhkNT3p/iO3PgCiKvgCz1wmUHQS8DiA2HYYDTkqTU+CNS4DYq6+vmlZRwCsrwAqP1rrgTGbQpGTQ6BjYH3hINo6/2StUrKWwlxrJ2Tf4JjRd9Y1d1wD/73zbYgPpcYGG5CQOqQ0DFXVYozgMZlazwqp2G/i9Sj74L1B1LIEASM0xS+v3gcgywHQQo8k3CRMCMSZa6Dz8PKT26wY7V7Cn4CiKNu+Bxx+LieVOUlHpq4o1SBISomLQqW0G7Ot3Iu+7xgIHR5atlc99fTKrev4V7li+KiQtpsp3PzSO+eIlxwcXT2xk3Q+4f7yz57jhbZ1FpVeZoiNf0hU1iwhCQlS71DdCOfZJBEeDCeQ/g+Oe7A3Z7T+Mf/Du9sbuuePK3pyRGDQrIRhCdRX4wV1ubFizBptlnyXcITkF/dq2g+uLOXBv2QYAMPU/RceB9UCxb7URjp+IblyK08+7GkZJFNYJ6fy3OfMkiySCcQ6lqFCAs9KfFug7MtmwmaKiqPYA1SQcyF1SnU7Iuc+CrdAoSivBVcVH6j5LuGZlIFAKQkjNT03XayaZhiC7DlJS0TjtFaIMp2DFuk0+tcvvfllU85Ysy4iPjUF2ZjuI9kIw4w7sKHCQovxDoFSAmJwIoUc/yKIIq9GEWIsJpKIcMJmhykaU2O2ocrlA4+JhpEyU9AihkgnYvXIndJ1BECgE6vsnioL/dxcE9yrQfYeIQKkgCoIgCr7PVz2BEfj4ntLqv+v8Tgh8spkczK4zLas9JXHxkNq21YU2baG73QyCQHSP05h69dnq3vx8UllZBcQaEJOWRUs359HYiEh0yu3KFTECUVYbJB2ozDuIvR98g5ItjWN3VBQxetEHsE99W3X8+GvIcRZlz17RKgsM8Gnjj/pumis2O8P810vvOzqPOK/KVVoulO879E3aKd0THYUlswDisCbGhnr4kzjOcNyTPQBu7N71QblD1kw5M+ProxPv7hjOzk011A6GxD9XYP+Qs9AjOxvtQFD1+jToxXWWy9Uuk5bAXgH+/Ufo8/xsxbRzN10vgThdLoBQRFrNiEw0MZPJCINs4DVLhTYxejXH13hx6h6TV//gIISCCBQ0KhkiCCTJyFBSrFNBBANQWllBCopLSIXDAc1vwVY7c6jJSESJcsI0n9nrX0pwX6okQWxbTZYlGGQZTDBQ5nIyxhgk2UTT0t2kqKgYuq6DMQbOGRRGcLi4ElFxCqIsqQxUACEuqlDCD1dWgUkSg6aBQ+GockJUFGJ1VAleRYHL4wWJT+AkOoqhoIDTslKBq17dt0KKBAjzrZh0Dmg64GEgXKO+1/IFXumtddvoeu3kWDNJslpXVfUECV7/9xKVcI0zriqMHMyn+h9/Uu5y1Y3NCABglmVkp6Sgw5Chyn6yRi7fm4+syHj1j9kfSHvzC+ApDd4NK7F3F1z4+mSUT3le86xaE57LkRCYUxKN1yz8aLEtJeGX2OyM5wEg55JBD0a1S32zfN+hOyWT8YyK/YcMUelpY8I69kkcdzgRyB4AQM3mHYZuXSYnvfHiC4X3PdKBN+jpSmQZPEA6Y0sqaA1uNwYfPAKZCCj/aUGjNEkiSYAa5gqjLtxOkLJD3i5Fv9u69OqEcrcGxjlijQJQVQgopb6iJgCo9jXUJSFfF+wGB/XnrTMAjIN06OfmP0wzaf3+53RN/9ICzgBBQEZKKoR2GSDJmdAZA+ccun/ikttna+Z4JqKq0L+CaHAuAkBTANUDZJ3p5St+M4BSwGgGOasvYLb5CrMIAQfBb8uWY2dBCe+XkUmyREGgZjPWtm/P1q9ZTdNTU5AATdCSklTl8Fapwu5EuSDwyqQUHaoKyWRArKgjhnsEAgI1JV3Td28WRUFA+9QkRNgioFMBOqHQCIEOCp1Q6CDQ4xKZfngvdBCuAUzjvqIdDhDY4sDLijkDCPNPZiQqhjJ7Oau+ur5PTQg1W4iy/xBVDx2mzOkCbDaQiAgQAKIgwCCKiIuIQJrVCn3zJpDiMu8vdz8ng3Ok9eykFzfRC7fjqAtY3+sudZLt20nByGut3OkK61m1njvIEX3j2A1SfOz7mV07fwTAZD9SdIkxytbHEh/zNQAenZH2CoCpOKkx//8CJwzZA4Cxc8dv5Mz0VUJU5CLvlu0RxGzShJjoKu/W7SmRV12+XS+vcJdOfaefa8nSiJqdWqgdomzYBGVDkDRcUaif3tkC8L27JRTvA7YuRrQt1keoVcUAD5KO13kQUHoAKAquiFgDyQjeeaiO7X+B9ryUazu3gdsDtBYURZ+bSxR96aRXjFB4+2IRhzY2ewpiS/Hwr16rsUQb6d2feh4MQgKIW2X6rh0C8nYDcQnQM9szi8dBO0Vbke0uB+3ZWYXhgERsmfAIJuJ0ewSxw+laRN5qEfZSoNLt85ef1o9x5SjgqATf8ZfPhebrM+zTzKkOQosSyPDxXr5nsQmCRCBK1Ffr4Aswk65jXGzF92YQWjOJ0VHj3Vi01FS9Tc0dY81i7tg4KHl5IILg06ivnnQ1Ddzlgl5UBMe2bYCiwJySSu787Ak7AEhdO5sSfp3hJAD3ryY4YYxTTeXU6SSuJX9IZdfdaGtotASDmJoCU99eDtvF5+8QIm1HxMSEZYZOOS/WufRuW0rCgIIN25+PSk+re8/rAIJ0gv9vghByBoDTAHSGL98+A0AkfEHeO+EzaTjnfOq/Nsj/IE4osgcAajQesZ0/dIDt/KEEvpvYA19F3E4AgpAQX+Ldsr3SX1pOoKktbtcWDEQIkCIZJvihPCOxJego3COgqqjZ7emIp8B+m8FRlNf85GWwAh6HLxy5/lur4fyLXJ4vPzM32q56wlKUamu7+5UWAAAgAElEQVSWB8zQaQG4oxK2voM1ffZcsTwuDjQqGkTXoHMdUBQIFWVgm5eB9uioYsM34AAMshkGgxUkqb2Lz3spom7GEd+5Qsal99v5y5Nswc8KH/FXFOvI2xD4/d7nqfyvhfVfO/diha/6qbGvPHcAVw6b4Z49O6TP7Hr7rZpAadQHH9vLR17X9FibATEaEHPbTUdNPbvvkNqkrhSTk74VoqNWoIkwUVKPTg2zXo47cM7/BPAnIeQRACM455cRQsbAl8fehnN+JyHk1X93lP89nHBk70dD4aatAEStqLhvxWtvMce8+cdeKt8EiCgFrIAN8yg+a9MWD3gcgNq0aj0/uiMfitMEoPluz6IEqL7xke1LIV/wpOb58rPmhySKHHqok1gzc07JEcTFxXOoGiqdLtCkRHB7Vb2cfOg6EJ0mofO5OiKTNZijdXBGYI02NEotrSoFEYXmBVT8efxNIFCVdZD8SsJbHJs5xlR/0yl91IQnHlwltkm9UUpK3HZsR/t38QTJqXfNH8eus+HLU6/G75zz3+tuQwgZDWAvfHo11agbrvonpB6OK5yoZN8I7pWrf9EOHcl0/vhzRPNbHyMESo7VsseKBSD3vOTh5SUgGTkin3Ft08G5qmI7MVhDKwcWpHrqlWJGqmR98EGv45lnas4h9ugF5nICbg9YcSHg8fhy7FmIln1zhUuyEYrXAwgCRIECmgpiMkFRNQAckiAAqgqUFeko96rYt1pEVZEBhIKrQVpzeewUMYlosncApU1LHAfqbxBs+xBaJ/4dsA4b4oybfNcsY5dOtyJ4g63jBg2XlH5i/z3Y9n5hsjHwVcxuIIQ8CJ8bZxaAfELIJAD7/46xHs/4/0L2OfY53/Ss+uiT6H97ICHDVQX25I0WACCPTLWjufJtzhjadA0tW0OQAFWpieCSb182Gcc+psoDetjd3ywy6Hl75Yh7R3l55X4NgsSJIQYcsk4i25pRNdAOxeU3ZzlAOOF7/5Cwc2F9N0dzNnZiGxQc3EuJzcrjIiII93qhZWSiKP8wAYBoqxW8sgxQPAxrfw4pgMgXfmgll9/o4u9NaeySCjY2QoDkLJCOpziRlq3DGh0ohz3wh6GUt7wfQstM++gJ40qjrr5qpqFzzt1Bx3WcIVzNjmphsiBvn3TfBMH/B7KPdy9f+b576V9/v0VfDUpb7yHs3Bf8wPrm4wqaWgWDBQCaT5T26dLXpusc3AZUlXjolpdt5n6dvLjyJjff+7VIitfX6OsQAOh0jYO9/q4N5Q2E14aN9tLznneA+PIxwTm4OdpEbpta5fvDT4iq15cOyXSCxDaSe/NOkcYnkEhRIHDYUVBZCVXXkBoVBYvbDr2iFIhLkXDKRT4LurpIqrwQOBigjy0hgKo0zaLVln1SBiNDxjhJVDx4xQEJu36zYPFcYOCjlQiVfwjlQQPmIewdzsZyTgc16bXnDgqRkXcZctp/29KT/hfR9Mx8Eq2FE57s1UOHh5Y8+tRp6p69/5AgClpXVTF/D8jomzkXZCf2rbagcHfg7TSPDebon9H5nDbYtrjpmIQgAaq3Xm4m//QFG7n6FgdZ+7IVhasD70fFGl9/Pfz0mYH99Fm9VQWf8Fyl8sRdQcchnHspGDOAU6MGCBSEgPmF0EwGGbzUH5TmKiA4NEgChyAxEImTwXeDvzyusbUfEc94QX7TqwDZCNLvfDPiYt1Y+IqNKw0SUQIWowWx3glFtVgZsdkg9+mjGs4800OtFl9vY0I4qM/Vo2zYKCqrV5u0vXv9MgtNjrIeTP16e5NefXa7oWN2b/gyTU4o/JOqa/+fccKTvX608BLvxs3/HNEDILR1NPIBAPZysIfHWdChO0j/oR4y+Fadf/WApWHAlpcfjSOdB79ITh9TgvTeE/mPL7YJekxBAlRP/dVC8QHwjRtE0uFyB3bPCyyeRYTAejmBNw7vfV0H9atiMkJrtXrspSr2LKtv/OWc7UKXMzRw3V/WKnBYo1V0O1skOtXRtoMKzkkjdw0AktqOsE9vsZDyg4FVQQMqtQX5LJRyIsuIfO5Zh5yZArJvpYms/9QGV4MuVVSEnN0HGDzezSNSNOZSmE5os5IH1GZFwtOP7jX16v66oWP2GzgBiR44adn/Uzihyd6zZt2rVZ9+cVZr9RwNGX+HquLujeC7Nxr5yNsUEtcWONqgg1H54VgQXEeScz7hpfkj4FPYCwxRZlA8jXUifvvcyFMedpLk/m4cXd7YlUGlOsVczaC5a86Z/zL5OZlzP9lzsOpMJP92AXZl3mKjCMH/EXQGvvOgKFqPusSiH8wo3hPUuq8ndxMIwTJvAm0am8KtEwa7ydwnreSvJhqNMA1kxwpgxwqTT3sTcPe5M7gIPQBDbmeW9MrTK+WszBFCVGQrSZP+N9F6Otsn0RROWLJnbneiZ+36i6s+/TLh3x5Lq6KqUoRsbsxZkkFH+eHHuSlqCizROs6Z4EDJfhH5m40ob8AVoswaunFq8OlTFtw61QFXkYrKvPqt/QgNXQYi3Pk1KMcGOBDTdO2HOY1eFs8cxFDcdHenZhGwP22D1wgFGXmfHeCUvjGm1fq+ViPq2tGVkWNGzjH16DYRwDGUYh8fMLViiOskguOEJXu9tOxUz4ZNif/Kyf9OvfSiQxQdUt0oO2RCx7Nc/9femcdHVV59/Hfu7PskmZnsISEbS9jcIooQVqlQENGiKFKo4lJBoVhRXgXFuttXX7UWi1qsIq11oahYtIJSUFGQVbYgEZKQfZtMMus97x8TIIFsk4Qgmef7+Qwwc+99nnMvM7/73POc5xxKyPJDZQSXlSrkt140IHcX4KxWwWQBeg8AXXyjixwOmfN3Stj6jgE+N6BUyahvWUP4T/ONtGB5LXY+o4K7cd6WEM6rrZuCfKoqFTcn6Cdz/XAzPrEWwt612s67OdpxijT17lo++I0Ou7/o8O+H5TNDPCWjAY7HluTpL734CXVqyvKOtn2+oep4SQlBCPRYsVclxP8r4s45D5gmT5x9/Dd3Dur8IqefCZYoL114nUbunVOPf72m57ffAjIGyxSd6KRLxmyjYROV0JuK4HUbEPAH2OW0ye+8lgIJeunax5185GsJ9TUKsLtpzuPGyDL4T78z0m+fdmHrI4ZTsfWhzEWE+ANunH2UGTiphc2104Iiq9SdV41m3U+NPrtwXB0kUGeEvqGfJh1JZjPiX3txh3bQgGsVkRHtyHnRc1Are+RUxM+OHiv2ACKgVGpZZokUUvcGJJ+NzjIGg6bdWYvtn0nyM7PVNOdZmQOBgHTvC3uQ3G8pDKbDpFCeUXGdAOLkPo/yl2vmyE8tsOHikV5pwo0yqqtcuGACB7P1NjjNWW4InQy+hVuhxJC73dj2TNAHLikU0tIXq4NiezLnb8MfRGAmBALMfj9gidErfzW7lj1uCR53sBi4zAQOAAGZpD4DFFTulKimnvhEPv+TRjfKP9Oc+OrNSsXwscF/N6RfhkIBcsR0LPVFwgCwIx2QFCCD+czfhNagwKDhflLrGZdOkHn53S1Wf2oXUrBgzQlUKb0Q++Izm7QDs66V9Lq2c2P0MFSdqwwqaCc9VuzrNm1eW/bgsmzv3n0tC4BaDcvsGX7DsGw3aTWQq53wHMjVuHfsVnn2/IBA4fEO9c1yoOv8OJHRoDkP1eL4IfDyhUb43IDWAFKrQfOenUvWqNdxqtZls+ZQr8zFmHLbP2jo+Me5OD9BfvLuAa2uMm1MzmSPNG6hCztfNIDg508faj2sU1ICChWk8Y+6yPeDEVodYNYGI3kkAkgZjPOP1UOp1oN/2s6IsIKUygb5o4Zw/ZN5+c+8lv9dodZmxzScMweT2XGAyEgd8/4OmlnLq/9iAMskl6w75YO3RkG64Q4n/FDQ5HkB/nylBq/eq2qlpfYh+6GwWiQA0A29pC76sSVfagf2n4LW/x97LGJk3z30WLEnSVLJrroWt0csnFtvvHhgwPveao1n2T+NqHOBrJFQxifAkpZWL42cESCL9URKXoZCwcq0dDUFagNw1fiZJAASA0RMUlBzSEEASGGz6Wjwchd8Pobf35D210MIyEDAH4y/VqkZSlUwG6MyKJBQSA2P9wywHBxx19UQv/2oCTXlgEoD6d7XK2CxVUKje4CMEWvQzgk8Mlp2Im3gVZQ2UMf2+I/k5+aPRFXLJetOsnGNRj68VyPdeb8TVkfbK1llf/Dl9wRQ0FItZgABH7TWwWC3G3UeD8hqheyXAYkgnSiiAqDZx6SC3SoU7A6KrtaEE5W+WGsELrnBh61vhybIKkjSlJtqTj6lnJxzkYnff8rE/y5t7egOwX6/bJ11k9v66+mrtFn95qCHrIbtCGrhs+8WeqzY6y4fOs720KKtRbPvSG/8uTI+HjEvPlnr//hdqW7hy00ex7mqAoGqCgT27mo2Gky3YJFbdeQzAwpzm3iNmxvGM6CEUhWsx3rib0kKjny5oRyh7G8omecPLlaSW1+NKd2zvAwxyTeS3rS+nZehOeopY9BEacFzm3jnZge//0pCW/3iWC7k+39jkh56oRpAu0ritTnT6aqCOcEEMOCsd0NKTQWVlARFu3HoZUtEJvpp+K31UBkk9nkaSgbKgNlOoYo9+Z0++Y0HQkuOl9QX0uzHffLLd6tQVoAmCeKUaiD9Qh+lDCxFZIwbkrKelOp6mCIA5jroTbJBZU01jh97u8Js/gRhLPSAGNl3Fz1W7AG4FQ7HQd2IYdH1DfnrrXfNcZsuu8Bf/9B8I1e1XB2oVUJx0Ph9ISxCaqPb4df5YIt7qZNCf4I6Sht4IWJ6jUZFyXu84d32pZIIKTVAG2rtqoLZbADAVO50orSmBuUNOfWVGg2kEaP8itHj3TDqlHTtE9VBH9CpiFP2eSVetcQE/2kT72NuqYUjHShpYaVxc6d1dJtSmv1gsPNGbiO64OqTgwE+uKkOteWnVMnsUMFfXyfNWLYLCsVRSFIvPvBtKrQGHWVeUgm17g4yWr8DUIlgaH0TRevJP7xQUWpDKw0q6Bg9+Tvn1mVfNDFy/tzPio8eGx3zzLLawMZPqO6+uzo3uXYuxmAkQbphkQrAc1xbFQOlOo60+u2dbtZo+Ryjphbzl2vM7Utd3IUnX3kcDrMRxuQU2VlVxR8eLwZYhmQyUWL2BT7K26LA5tXGhh7bv+7mu7VGTLjDhY8ebX/8+64PDbzrwzM+5m3/BP3yoddgjR3Bm/8aj6L9egCgq+7PhSPtQTI73sWpqo2guHQ7gsJegqYXSwxdW0GIfffQk8UeAKC7/NLrEt76y+Hau2ZFcGk7JyV/Dqi1oEE5zKXHfNLvXgUANXvqfwdJYYfbdTO0+jgAVZ3shWGLmyTNe3qd/PzC5JPunJhewMWjZACgSLsXEVF+MpoAFbfThdMOAj7Q5tW4KnOI9O2+MtR7/VCp1egdrUZmfZ7EW9/vWLtVxSCNJdAlt6WyI0Duf8dhyNWrqN+Ye7hoP+BIA3pfupxMtiZC30DXO/fDAIVGiH130OPFHkAl5MCrkAMLz7UhoUADrqiXZv9Bx/WuOt78Acs7N/qkmQ/fyTs26BHwldOo6V2ycIAskfu5zwXX0azF7/Bry5LBDJo8sw6+w3pU5wNlO7TIrwG7a0KrvtUed9eBLYjyuDA+rV/Qzx0IAOXHwBu3tl7D15YElB09rT8CHClAxtBaqHWthGBSULDj+lVhxxprq6dw9SNFXHpERW7nMMq+Qc27Pw6gqlCBsiOL2e3sRfaUue04S0EbiJF99xAOYg9FQtJj+t8vGe+6b25WpxvrjpRqCiV41yad/OoDLrpm3iq4a6eS0cqoKf8bDbjiG7hrpwMwA2g53CgEyBTxHQZcOpXufekv8ptPD0JElIwtK9qsjtVGq+27Unk7g6+WUOsBb9PTlO59B/JjvwRSL6qm9Euc0BktUCjBlUdV2PepkVf/vWWrpiw7DEf641Ao47gs7xF4nIA+UkbBbgn+RjcYow0w2Q9LfUffxHXVLwAAXfvkO/zVm6NAdJjsKYvbdX6CNhFi3z2EhdiTwVhJekOnF6uw3GYarTOxJYAum1THG97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feVHq6nsoMLpmtT0ed+oCnXXnJ/M6t1IyZGoq5NnOiQVFpayq0h5HD+duX4n8qpiQCrOYnV0ezqR0+aqqVHdR6v1lkxdtLgEUDzNVD9KgUhHQ7xovPN0eh3bsSbVFBYASZ0ZcoSLanwElglAREGdJuj+5cMLfvT/HpoDb2t88bI8nn7dEZdVVObZGPmx69Hl9b/L5+sH0i/TCXT9WLBzusU2whp8Diluymo+Un0pFxWLNL/+krc+ssJfnffHj3k3G79fh8+Yr6jv+kM/67Vv04sa1CvdSrWH0BUs153N/r0BN9XHvE4ObLxBQw+xUBa3IM48f1f2jr77kWibYfOzqJ6bCE1QrLS5lVRX2uHvXXg9nUnoqJo+zx9GDhz2cSema9uyf5KtM/Q1sdbzvxOBixRzNQwmnIxtHoMFXRvMBoL8NueA0e9z09MsezgQAiguVioDSRKgISPl1cjBy/kyNWjjHy7lgAFl9zzK7ekWgPKgpFyz1eEalYczJ8/W+//mmzvzKbfIHewbiW3ft82BWQN8Fq1PVF5oGSaWiJGfrwfKhDfrAjufUuKjwr6tTrr9Cp5y8WOV5ag+w58ghPfXGSrV0tOfcrm7GJC248zbVTBqXczuUtpmf/ogMf/ztmBUJK/K3p/p+Z39A5df9nWvV4Xe353N6JWXI1PH2uGkT38diUTNmhAxHS6CuzTs9nE3pCY5NVVSM7CbQVWij//2fVTFrur387r3LqFQ0iFmxVFjEIFSEbGJUKgIKpWLyOFU6qpnu/slvPZwNABQXM+I64ZJKRUCJIFQEpLwryT7tYOnnb/ZwKhhIoqGQWnbssZdnXnGeh7MpDad85gZ9dMUyTTjjpB63mbGYdq1Yo3sWXeXBzIC+CdZU2WECSTnb+Q1Emx9/Qe/85Vl7uXr8aF2+6o+ad8etBZvDiDNP1ojTFmpk4xBdeOIpaqypzcvjtnV16sk3Vmrnwf05tws21GrOP96sEWeenJf9YvCZ9tEP2OPoqy/Jamvt830DJ58q/8Qp9vLBNzfrzzd/Oa/zKyW1Y0ba44MbNnk4Ezg5/8+LdYUU3ksVqUIqH58KFYV3DJ6KigNFw1WpluyHV63Xqs/8m4ezQX+znC158S1KAAAgAElEQVR1fHxUiywc7c98hIqAftV4fuqEUbM7rPbXNno4GwAoLlQqAkoT71QBtx8mB3Oufo8Mv9/LuWAAeeeR1MHz6ZedTcny/mIYOuOOW3XJ9++Uz/H3GWpp0+p7l+m/51yqfwvM0X1LP6jQkWYPJwrkNvbUE+yzkM1YTK07B19lrT/fdIf2vrbBXjYMQwvv+pxGnbek3/ddM3mcJn/oMnu5uqJC559wsiaPHJ2Xx4+Zpl56a73WbN0k03kQKI0v4NeU66/QlBveJyNAiwKk9Gh99uRfj+r+gdPPscddR1r0ozmXyszQChS9u/BbX5TfcWBu5/LXPJwNnEafPM8eh7bslBKVQVEYlZNTFbxCG97ycCalyd9Qb4/X/9uPZLo/uMcg46xUJB+fQyEzZ5s83lsA/avxvFSoqPPtLR7OBACKj0WlIqAk8Q4EcPtzchAoD6p29HBaKKFPXv7OL7T4U9fLMAzVjBqusYvna/era72e1oBWNaxRJ970AU065xRVDm1QpDOkIdMmqH58KhRgRqN68p++pRXf/YV3EwWOwZiT5trj1l37ZEajObYemDoPNemnp1yjRR+9Whd++4sqr62WYRi66OlfKnTwiJrWv6NnL/+Eop1ded1vWW21Ztz6IVclKEny+3w6ZcYcDa2t12ub35aZh4PTb+3arqb2Vi2dNU/lZdnfQ484fZGqxo3Su/csUzeBR0ia8akPH3PrM2P4SJVffb29vOPF1XmfX6lY9LFrtPTzN9nL7/71b67qk/DWsFlT7XFoK63PCslXXaXgqOH2cueqNzycTWkyylIf17Vv4fd/sHO9F/BxghKycJzMYAQInwH9qfHcU+3x4Uef93AmAFB8TCoVASWJUBHg1iHpkKRhklQ/YQyhIvRJ89ad6m5pU0VDnSRp5vvOJ1R0HEbMm6Ebn/mlqocPybpNLBLVfUuu0V5KEGMAGj53uj1u3jZ4W4pYsZhW37tMoeZWXb3su/b6iuFDNPrcJTrt59/Q8x/6XF73Ofn69yrYkL3V2dTRY9VQXaPlb65TV7j7uPe3v7lJT7y+UqfPnq8htXVZt6uZOEbzv/IJvXvfQ2rZSHulUjf9Y9fY4x6tz3w++SZNlREIKLZtsxQOyxg1RuVXXSffyFHyzztRRjAeYjNjph6//ZuFnv6gsPiTH9YlP/iqXTWuu7VdT95+t8ezglP9hFSQPDSIXyuLUeWUVJUiy7LU9fo6D2dTeoKTxtvPTZLUte+gh7NBQcRof4Y+cFYqKuMjfaC/VM+boeDIYZLi/wft+ckDHs8IAIqLFXGFiqhUBJQI3qkCPe1IDurGj/JyHhhgtj77ij2e9f4LPJzJwGb4fLrm99/LGiiyLEstO/fpx/MvJ1CEAatx6gR7PJhDRUkbHnxUq+/p+UHc8NMX5X1f23//mDp6aSc3tK5eFy08RcPrG/Kyz87ukJ5eu1pb9uWucBKortSsz9ygsZeclZf9YmDq0frsqUdTt02fpdqHnlDdg4+q9rePqP7JV1X9vftU/5fnVXHzbQpedqX8Eyfb27/50GNq2rxDODqX3/OvuuSH/ywjceA2Fg7rwfd/SodpbVBUqkcOtcfdO6kgVUgVjtZnViTiqo6B/le5cIE9jrR3qPtQk4ezQSE421rJ4KNaZGHS/gwohMYLUq3PzM6QQtsH/2c2AHA00tqfUakIKBG8UwV6smuL108Y4+U8MMCs+M4v7PHwOdM0dMbk7BsjqxlXnKths6bYy3tWrderP/yN3vifP+rFu+/VPYuu1HcnnK3Db2/1cJbA8akbO8IeN2/d5eFMCudlx3NkUls/hCG6Dzdpw3/8TAdXrMm5XUUwqHPmLdTMsRNybtdXpmlq5btvatW7bymW4+CrYUjj33e+Zn7yw/JXVuRl3xhYXK3PopFU6zPDUPXd35d/wiR7W6O6RmWnn53xcQ69tUV//Mg/9fd0B50rf/0tnfTxa+0qILFwWH+6/p+07dkVHs8M6crrU1XnQtsJFRVShSP8HGtp83Ampaf63DM17kf/bi937trv4WxQKJazrZWfj2qRmRWlUhFQCEPOP80et69728OZAEBxSmt/RqUioETwDgToyT7C6Sy5D/Rmx4urFOkKqSxxkHjW+y/Q8v/4qcezGnhmXnGePW7ZuVc/XfwBD2cD9I/KIakKOaVQqUiSZlx+jmu5u6lVL/ZTIMKMRLT5F39U+9ZdmnTtpTJ8RsbtfD6fTpwyXUNq6/TqOxtzhoH6avO+3WruaNPSWfNVXZE9NNS4YKbmf/kTeucnv1Pnbg4YlpLpH3W0PnvlJVmtLZIk35jx8k9MhWoty3K1v5Gk7rYObf/bSq3/3V+07rePFGbCg8j7fnG3FnzkvfZy+/5DWvbe27SHlrVFKVBRbo+7d5TGa2WxcLY/i+7jNaqQJj9wr3yO3/0jq9Z7OBsUiuVsf0alImTjbH8W8Hs4EWDwMsrKVH/2Ynv54B8e93A2AFCcqFQElCbeqQI92Z9Y140nVISjs/uVVGWMWVfSAk2SJp27RAs/erWmXHCa3WYkF2fbwZ3LX+vPqQGeKauutMelEiqqHZOqzhTt7NKyIYvVuSt3m7Ljtf9vr2rDt+9TuKU953YTho/UBScuVk1FZc7t+upwW6uefONV7W8+knO7iuGNmvelj2vYqSfkZb8ofr5AQA1znK3P/pq60XKH2n5++nV67We/V1dTi6Khbu1asUZ3N5ys311xK4GiY3DO1z+rE258v73cumuffnH6dQSKilTtuFGuUB2VigqrctpEe9y9lRaLheJrqHMFiqJdIa37+g89nBEKxVmpSEbmMDygWOoAno9KRUC/qFtyggI11ZLiJ3ns+emDHs8IAIoPlYqA0sQ7EKCn4cmBP0jIFkdn5X/fr0nnnCpJGrfkRFU01ivU1OLxrLxRXl+r6x7+sSaelTrDZ//at/Xnm+7Q3tc2ZL1fwNEOKES7BQxCwboa+fypM0tLJVQU6QzZY9N9Rku/at+yU+vu+rFmfPxa1U7L3uqsobpGFy48RSveXq+9Rw4f9367IxH9bd3rWjB5mmaNm5h1O19ZQNNuuko1k8dp++8fk+U4AxmDz4zbrsvc+kySuXe3zIP75Rs+UpL0gd9+W9+beqEeueVOT+Y6mEx9z5k666uftEMqrbv361dnf0RNW3b2ck94Zezi+fbYDHUrcuD4n5fRdxVTUq+XoQ20/SiUqpPcIeOHhi1RrLPLo9mgoCwrNSZUhCwsV6UiPtIH+sOQC1Ktz6JHWhRrzX2CEgCUIiviChVxEBUoEVQqAno6OTnY+vTLXs4DA9DGhx53nWU46sTZHs7GW5f84KuuQJEkjVwwUze/9IDmXntpxvv4AgENmZo6iBFp50N0DD7jly60x2Y0qtZ+rtZTLDY/udweB+trdd5f7i3YviOt7dr4nf/RvmdW5NwuGAjozDknaO6EyXnZryVpzdZNWr5xrcLR3EGqUeecojm336Syupq87BvFafrHHK3PXn3Zbn0mSbIsdf/6Z/Ziw6Rx+sd9yzXpvCWux6gZNVyTz1+qqhFD+32+g8V777vLDhSFWtr0wKW3ECgqciMWzLTH3Tv3ug+4o18ZgYAqJo6xl7tWveHhbEpL5fw59rhj+24CRSXE4jkOfeF4P0H7M6B/NJ6/1B63OqrRAwBSrDChIqAUcVoD0JN96k8hKylg8OhqalXV0AZJ0uiFs7Xt2dwHsQejsqpKzb/uMnvZMi0ZvvjBvEB5UFc/8F86+2uf1sGNm9R1uFk+v18VjXUaf9pC1Yyyi4Vp90pakmDwGb0odcCoZee+kqlMs+OFVdry1Euakjjzb9xlZ2v6Ldfq3Z8uK8j+LdPUtgcfVfu23Zpyw/uytgwwDEPzJk7RkNo6rXhrgyKx4/9fYNfhg2p5Y6VOnz1f9dXZQ0O1U8dr/ldu0zv3PKB2Ag+Dji8QUMNcR+uzpx/tsU33sl+p7PxLFDhhkSSpevgQ/d3Tv5QZi8mMRGX4/fIF/DIMQ5ZlqWP/YT1/14+18oe/KdjXMdAMnTnZ1X7xLx+7U/vXUnml2A2dNcUeh3bQ+qyQyieMtitgWJaljhWrPJ5R6SifmXqN6Nix18OZwFNUKkI2VCoC+pW/plq1pyywl/fd/7CHswGA4pV23JT2Z0CJoFIR0NPrycHEsxfn2g7IqHnbLns8zHFApJQ0TB4nn+NgxDeqT9Rj/3CXq4rT8NlTNecD79FJH79WCz96tWZfdZErUNS+75A2LPtrwecO9Lfhc6fb4+atu3JsOfg8fcd3XMvBxtqCz+HQq2u1/u57FTrUlHO7MUOG6cKFi1VflZ/KQW1dnXryjZXacXB/zu2C9TWa+/mbNfIs/gcZbKZ/4kMyEq0PrWhEkeee7LlRLKb2z96syPNPu1b7/H4FKsrlLwvYFXcMw1DNqGG69Adf1ZdaX9PF379TQSpd9XDSLdfa37O2PQf05kOPeTwj9EXjpHH2uJtQUUFVOL73Mk2Z7R3eTabEBCemvvcd2/m9LymO98kSoSJkZsWclYoIFQH5VrNwtuuzzAN8JgkAGVGpCChNhIqAnl5LDpxnNQN9dfidbfZ4yPSJ3k3EQ0ba2ZXRUEivfO9Xeujaf1C4lwMTlmXp8Ntb9eP5l/fnFAHPNE4Zb4+bt+32cCaFF2pudS1vW9azUkshdO7er/XfuEfN69/NuV1tZZUuOPFkTRg+Mi/7jZmmXn5rvV7f8o5M18EjN8Pv0+QPX64pN76fAwaDyIz01mctzZk37GhXx+23quPO2xXbuqlPj11eW61TP3ODvnj4FV36o3+RfLzNS5py4Wn2eFsvLRBRPGrGpILmoW2lFcD1WvmEVOszk/ZbBVU2epQ97iBMV1Jc/++ZpVHFFMfAWakoS9VVAMeudtFcexxtaUsLfAIAkqhUBJQm3oEAPbUkB+Wc7Y1jsGfVes2/Lh6IGTZ7qsez8YYZzdwuaONDj2vjQ49r8vlLNeOK8zRs1hSV11bLMk2F2zu1f93bWn3PMjVt3lHgGQOFUzc2FVgttVBR254DinSFVFZZIUm6dMWD+tPUCxT14KBltLNLb/33/Rp3+bkad9nZWbcL+P1aOmuehtTWac2Wd2XlYd/v7N6pI22tOm32fFUGy7NuN+K0haoaO1Lv3rNM3UeyBFAwMPh8qp+XqlKWqfVZushjDyvy2MPyjZ0gY+QoGdU1UiQic+9umbu2K7D4NJX//a0qO3lJajeBgBbfdp0W3nSVXvr2z/XsV7/bL1/OQFI7NhUK3LXiDQ9ngqNROaTeHodK7LXSa+XjR9vjWFNLji2Rb/4hDfaYSkWlxdmW18pD610MUs5QEQFyIO+q58+wx6ESqyoNAEfDivSoVGRIefnIFEARI1QE9GSXUSivL3xbFgx8m59Ybo9rRg5TeX2tulvaPJxR/5t33eWadeWFskxT7XsO9Bqm2vr0y9r69MsFmh1QXJwHSkut/Vmks0svf/vnOuurn5QkVY4apkteXqZHTnivNxOyLO165Bl1bN+taTdfLX9F9pNrZo6doMaaWr305np1R8LHvetDrS164vVXdcbsBRpaV591u5qJYzT/ztu06b6H1Lwhd2UlFK/JH7pMPrv1WVSR557q833N3Tuk3T3DttEVLyi64gX55y5Q8AMfVvDi98oIxn+HAxXlOuvO2xSsqdLjn/tGfr6IASpYU2WP23bt83AmOBplVZX2OLSdUFEhVThCRZEDBz2cSenxV1fb486dez2cCQrNV+boGhGjMgaycFZN8dEmD8i36llT7HH7unc8nAkAFLe09mdSPGvQYyWAwYXTGoCeUqEiKhXhGKQfsAqUD+4KkOd/43Z94Lf/qbnXXKx5116qJZ/7e027+Ez79rY9BzycHVB8nAdKm0osVCRJz339h3rzj0/Yy40LZmruFz7m4YykprVva903fqKuvbkPno6ob9RFCxdraG1dXvYbCof1zNrV2rw39wHzQFWFZn76Ixp3+bmSwQGEgWjiBy+2x7ENa2W1NOXtsWMb1qrrX7+ktmsuVviJv8hyHHA69bM3qmbU8Bz3Hvz8wdSB2padhIoGgoohDa4KDN20PysoZ/uzyA4CXQUTDEoBv73YToWukmI4fva0P0NWJpWKgP5U5ThBsvXl1z2cCQAUt7T2ZxIt0ICSwDsQoKdU+7Paat6o46ilt/4azL9DY09ZoDPuuDXr7WbM1J9u/EIBZwQUt6oRQ13PCc0leKDUisX0hw9/Xntf32ivm//lT3g4o7jQgcNad/e9OvzaxpzbVZVX6NwFJ2nq6LF52a9pWVq16S2tfPdNxczsZ6YbhjTu8nM06zM3KFBdlXU7FKfGealS+tE1q/tlH+buHer88j+o/e+ukpX4X8TwGVpwg0eVwIpA3YTRMhxBvFYqfwwIYxfPt8dWNKpuAuoFVTEx9foWenuThzMpLZUnzHU9X3UQKiopvoCjkHyMUBEys1yVigbv50yAF4KjhqusMVVB+IijCj0AwC1DpSJCRUAJ4B0I0FOrc8HZMgHoCzPqPihsDOKy1Ev/8aP22DJN7XhxtQ6sf0dHNm3X5ieX679nX6Jtz6zwcIZAcRm/dKE9jnaHS7aSV6w7rLW//rO9XFYkr7Vmd1jv3rtM2//whKwcncD9Pp9OnjZLp8yYI1+ePtDfsm+Pnl27Wh2hUM7tGuZM1YI7b1P1xPyEmlAYFaOG2ePY5v4tpR97a4MU6rKXo6Hjb9c3UI05aZ49jnaH1XnwiIezQV8NnzfdHnfvOeBu94L+ZRiuSkVd63IHbZE/VYsW2OOufQcV68r9/wAGFyNIqAh9YKbeoBh+PtIH8qly2gR7bJmmQlt3ejgbAChuZnePz5nKvZgHgMIK9L4JUHJcoaKKhjp1t7Z7NRcMQKVUqcjZ5mz5f/xMT9/xnx7OBih+oxfNscct23crZ3JlkBu35ER7HDrc7OFMetr75HJ17Nir6bdckzPwNHnkaNVXV+ulN9f1Ggbqi8NtrXryjVe1dOY8jWwcknW7YGOd5n3hY9r6wP/pwAurjnu/6H8BR9tDc9uWft2Xb/RYGTW1kiTLsrTxD4/36/6K2Yi5qXBK6y5anw0UQ2dNscfdu6guVUjBUcPlc7Ru7lr1hoezKS0Vc2baY6oUlR5npSKLICWycfxuGH5/jg0BHK1AXY09tnq29QEAOBAqAkrT4D3SDRy7qBwt0KqGNXo4FQxEppleqWjwPtWWVab+X9z2t5UezgQYGIbPmWaPm7aWXuszp7Gnps7I3/XwMx7OJLPWt7do3V0/Ufv2PTm3G1JTp4tOPEWjGofmZb/dkYj+tv51vblzm6wcoTPD79OU66/Q1L+7koMKRa5x0RxXS5vYts39u8PyCtdie4lWRJOkITMm2WNanw0cjZPH2ePunYTBCql8YqpKkWWaiu4/6OFsSkv51En2uL3E/0csRa6qMyaVipCF6Qg6GIO3IjbgCcd76lzvwwEAkkwz/cR6QkVACRi8R7qB42N/elo1PHulACCjEgoVte1NHWiYcv5SD2cCDAyNU1IHSpu3lvZZ6M7nxmrHQcxiEm5q0YZv3acDy1/LuV2wrExnzT1BcydMzst+LUlrt23WixvXKhzNfZbk8KUnas7tNylQU52XfSP/hp+aqsplNh+ROvq3AqbV2WGPDcPQ+NMX9ev+ilnDpFSbwFbCKQNG7diR9phKRYVV4WitaYW6PZxJ6SkbM8oeEyoqPUbA2f6MSkXIgvZnQL+xHO+7DUJ7ANAry12tiFARUAJ4BwJkdig5qCZUhGPgPKvF8A3eN6M7HQfaT7r1WmkQB6iAfKgZNdweN28r7QNG9eNH2+PGeTM8nEluVjSqLb/+s7b85mGZ0exnjhuGoXkTp+jMuSeozJ+fDsN7jhzSk6+/qqb2tpzb1U4dr/l3fFwVI4flZb/Ir8YFqZY25u7+/7u3DuyTeSgV+r3x6V8q6CjnX0pqR6eec6lUNHA4T+ro7qVaHPKrYlIq/Bxrac2xJfItMDT1e0/7s9LjK3OGimi7gyycvxt89gLkleV8r0+oCAB6ZbpPQiFUBJQA3oEAmdl9ImpGcYAOx2kQvxl99Yf32+Py2mqd/c+f8nA2QPGraKyzx80lfhZ6m7Ml0wA40/bAi6u14Vv3KdyU+yDrmCHDdNHCxWqozk+Ioz3UpafWrNLW/bkDEeVDGzT3H29W1bhRObdD4dU5WnCZewrwd29ZCv38R/ZioDyoM75wS//vtwhVNNbb49Zd+z2cCY5GeW2q8lpoe2m/VhaaM1QU2cvfTCH5aqrsMZWKSo8v4Gi7Q6UiZGE5qmLT/hjILyviDO0N3s9xASBfzO6Ic5FQEVACiv8IDuAN+1O8uvEcnMPxGcztz3YuX623H37GXp5/3eUezgYofoGK1HusphI/YGTGUmcCvv2j33o4k77r2L5ba//fj9Xy5pac29VUVun8E07WpBGjc27XV6Zp6tV3Nmrlu28qZmY/0FRWW605n79ZNVPG52W/yI9qx/+S5p6dBdln+MFfK7Zlk708ZNqEguy32ARrUwfpqVQ0QPh8roodISoVFVSF4/UjvK0wz1eQVFEhOQICVCoqPa6AiJm9MiZKnOP902CuiA14wRkqov0ZAPTOpP0ZUHIG75Fu4PjYn6DWjc/PAUGUrkB50Osp9KsNy/5qjxsmj8uxJVDaGiaPd304VeqVipq2pA5WTvrgJR7O5OhEOzr15vd/pd2PPp9zu4Dfr1NnztGiqTPky9OHklv27dEza1arK9yddZtAZblm/383qobn46JRPizV0qYglYqSHK1YS7VKj7+szB4TKhoYRs6b4Xqt7N5OuKKQnJWKQm++4+FMSkv1SQvs33vLNNWxgzBdyXH+r5gjQI4S5/zdoFIRkFdm2HFwnFARAPSKUBFQeggVAZntSA7qCRXhGFhm6kBe0NHCYTDavy51wMFZth2A2/ilJ9rjcHuHOg81eTgb773x8z/Y4/rZUxVsqMuxdZGxLO3889N6+0e/VSwUzrnp9DHjdc78RSovy0/A9Eh7q558faWOtGdvw+YvD2rWZ29U5egRedknjk+Zo6WNubtwoSKrrcUez3z/+QXbb7FonDrBFU5p3bnPw9mgr0afPM8eR5paFGvr8HA2JcbvV8XEMfZi12trPZxMaalcON8ed+05IDMcybE1Bj0OZiMbKhUB/caKOqvE8fcFAL0xQ64THgkVASWAUBGQmaNSEe3PcPQsx4c95YM8VOQMSgDIbtTCOfa41FufSdKG3z+mcHv8YLFhGPpQ00ot/MbtClRVejyzvmta+7bW3fVjde45kHO74fUNumjhYg2tzU9wqivcrWfWrNa+psNZtwlUlmv2Z29Q2SB/DSp2vmBQhiNwa+4t3N9++KlH7fGQqRP0/l/+e8H2XQzGOMIp4Y5OdR1p9nA26KuRC2ba4xCvlQVVPm6UjECq9VzHq6s9nE1pqZg9wx630/qsNDmqCxIqQlaOz5nk4yN9IJ9coSKehgGgVxaVioCSwzsQIDM7VFQzcpj8g7x9FfIv5ujFXV5X4+FM+ldZdZXO/+bt9vLhd7Z6OBuguA2dOdkeN3PASNGukLY8vcK1bv4dt+qDB19WwPG8WTt1gurnTiv09PosdPCI1t99rw69ui7ndlXlFTp3wUmaOnpsXvYbM029sGGNdh7KHmgKNtZpxq0fksFBB88MPWmuq1qOua9wLW3Cv79f0TWpUMCCj7xXVcMaC7Z/r42YlzpI37qD1mcDxZAZk+xxNy2gCqpyynh7bMViMlvbPZxNaQlOmmCPO7bze1+SCBWhLxztzwzanwF55Tw5FADQu7TqqhxABUoARxiAzHZLsj/VqRtHtSIcHTOS+qdqMLc/G7fkBFUOaZAkWZalhz/6FY9nBBSvhkmpMEkz1RckSc/e+d0e6wJVlVryo3/RFWsf0Q2xt3Tlpif1vvX/p+vaX9fMT3/Eg1n2zgxHtOnnD2nbskdd7S/T+X0+nTxtlk6ZMUe+PAR9TMvSy2+u0/YD2ds61U6boAlXXXTc+8KxGeqolmMeOiB1d+fYOs9iUXV84dOyOuLBAMPn01n//KnC7d9jQx3hlJadhIoGivoJqfZboW28VhZSxaRx9tjs6PRwJqWnbEzq84aO7QTPS5FFqAh9YMVSJ6/R/gzIL3f7MwBAbyx3qIhKRUAJIFQEZBaRZB+hqx8/2sOpYCCKOnrKDub2Z86KB5HOLu1c/pqHswGKW83IofaYUFHcgfXv6AfTL9KRzTtc66dcf4Ua589wfVheVl2lU3/wVV217RmNv/LCQk+1T/Y9u0Ib/+sXirR15Nxu8sjRuuCEk1VTcfyt3ixJr7y9QbsOHcy6zegLlqrBUbUFhdMwb7o9NvcU/kCxdfigIs89aS+fdMsH5XO0NxrM6iemgpxUKho4qkYMscchwhUFVeGoVBQ90uThTEpPYEjqPRWVikqUM1RE3x1k46hUJCoVAflFpSIAOCqmu/0ZlYqAEkCoCMjOboFWN55KRTg6kS5HqGgQtz8LOw6cByrKJVrsAFmV19fa4yZCRbYjm7brB9Mu1M6X+hZKrJk4Vuf84Qe64KlfFGU4ou3dbVp310/U3kuLu8aaWl248BSNGTLsuPdpSVrx9nodbm3Jus3Uv79SZYM45FqsaqdPtMfmXm/+7kO/uldW4iBUoKJcF3//Tk/mUWg1o1JBzhZCRQOG8//mblqFFpSzUlFkN38zheSrqbLHhIpKk+mokEEFGmTjrKRi+PnsBcgny9lekIpxANArk0pFQMnhHQiQnV02gUpFOFqRzi57PJhDRbtXrpOZOJvH5/fr6t99x+MZAcXLHyyzx1Qq6mnLUy/3WPfiN+/Rt0eepp+deo32rXnLXm8Yhsacv1SXv/G/hZxin4WbW7XhW/fpwIu5g1LBQEBnzFmgBZOmHvc56THT1PI31ykUDj1+v9AAACAASURBVGe8vaymShOvvvg494KjVe1ooetFpSJJMje/q8jjj9jLcz94iSfzKLTKxnp73LKDg/QDhfO1MsTPraCclYrCm7d7OJMSEwi4Ko7Q/qw0mZFUWysFyrJviNLman/GR/pAXmXvYg4AyCCt/RmVioASwDsQIDtHpSJCRTg6kc6QPS6rqvBwJv2r8+ARvfPIs/bynGsu1ulf+riHMwKK08gFs1xnuzVTfaGHl759n12taMfy1/Tbyz6up7/8HXUcOKzdr67VvYuu1EPX/oOaHQfbGuZO14izFns15ZysWExbfvNnbfnNw66zz9MZhqHZ4yfp7PkLVV52fO/Bu8LdWvH2ellW5k9Eh526QLXTJma8Df2jfFiqlZNXlYokKfK3p+1x1dAGVY0YmmPrwaGsKtVekPZnA8PQ2VNdr5XdhCsKylmpqGvdRg9nUloq5rr/R+zcuS/H1hisrIjjoAxtrZAN7c+A/pPlPTQAIDPanwGlh1ARkJ0dKqqfQKgIRycaSrU/C1QM7uqPf/nE19S294Ck+MHx8/7fPyjoKOEPQBp7ynx73HWkWd2t7R7OpjiF2zr0P2d9RHdVnaD/OeM6vfvXv7lut0xTGx58VL++4CbX+uFLTijkNI/agRdXa8O37lP3keytySRpZMMQXbRwsYbW1ufcrjf7m5v01q7sFSYmXXupRDn3gilzvB56ValIkqyuDtfyp996bFC3LPUFg662IK07CRUNBGMWp14roy1tija3ejib0uKrrlJwZKodZ+fqNR7OprRUzJtlj7ubWhTt6PRwNvBKzHGmt1GE7X1RHKyoo1IR7c+AvHK2P5MUryQIAMjKjND+DCg1vAMBsnNUKhqVazugB1eoqHJw/0/Vsf+Qfnf5J+xln9+v079ItSLAaeQJqQNGTbQ+y8qKxRTtCuXc5oy0amjbf/94f04pLzq279a6u36i5o2bc25XVV6h8xYs0uSRxxdmXr99i5o7MgfXqseP0tBFc4/r8dE3vmBQRiB1FrmXlYqib6yW2XTEXq5srNNlP/qavVwxpEHX/eVefan1NX254w1dfs+/ejHNvBm9cLar8kfrLip/DAQj58+0xyGqFBVUxaSx9tiyLHWt2eDhbEpL5ewZ9pgqRaXLCjvbn3EgG1mYqeqntD8D8iwtVOTjuRgAcqL9GVB6eAcCZJeqVET7MxylSGeXPR7slYokae9rG+xqRZJUPWJIjq2B0jN05mR73Eyo6Lg0TBnvWp75qes9msnRiXZ06q0f/Fq7/vJczsrqPp9Pp8yYowWTph7zvkzL0mub3856+9hLzz7mx0bfDT1privYYu7b491kOtrV/onrZR5KvVafdMsHNfrkeZr/4Sv0j/te1IzLzlZ5bbXKqiq16JYPqmHy+BwPWNxGO4Jz7fsPucLeKF7O10panxVWxeRU6zMrEpEc1TDQv4KTJ9jjTqqqlaxY2NE+ggPZyMbZUplKRUBeWTF3qMgI8lwMALlYsZhzkX9MgBLAHzqQ3Y7koKKhTsGaai/nggEm2uWsVFTh4UwKY+iMyaodPcJe3vhQ8VcOAQrJ2UazeSsHSo/HjhdWuZYn/P/s3XecI3X9P/DXzKRne73bvd77HdxxR4evNEGKoCIWUOxgxcJX/SqWr9hQvyoKFoo/iiCIAiKIgEhvCkgvV/Zu727vbu+2Jps6M78/kv3MTDbJbnazmUnyej4eRz5TNvsmmzKZz3ve77NOsCmSSdB17LzrQbx2+fVIhiN5d10+ex42LF6Wd598egcH0N27N+u2QGcbGtcszbqNiqd5wyox1vbvA2L2JrZoW97E8AffCT2Saq0jyTI++tStOPOGy6C43ZZ9JUnC+o+dbUeYRdG2cpEYD7HyR9mon9shxtEuflaWks+URKixRWtJuWcZz3tWKqpeWsyUVKQouXek6qaa2uSxUhFRUWVMjkPyuHPsSUREADIrvPHAhKgK8IVOlNteAOISzdrOdhtDoXKTCFdXpaK1550hxolIFFvve8zGaIicJ9jaLMZsfzY1j37v15bl2vmzsOILH7IpmskZfGUzXrz0Vwhtz1+5ZuGMThy6dPKtyl7cvhV6jrJIM084YtL3SxPTsGqxGGu7nZEgoe/ZjchlRmszSZYt1ZTMNn3m3FKFVXSNC43KH4OseFM2gu3GZyXbn5WWf4Hxmkns7bUxkurjbm8V41AXjxGrlWZqHyG5OJFNOZiTHphURFRUmZWK2P6MiCg/XbOcb+SBCVEV4AudKDcNgLhUsHZma55diazipvZnbn/lJxWtOPtkMd563+M2RkLkTJ5ao9rdACeMpiQZjeHK1adZ1q2/7GLMPrOMKhYBiPUN4OXLrsbeR/6dd7+5bTOwdv6ivPvkMhwZwU5TuyuzusVz4TdVmKPiq108V4y1Hue87uN3/hGRK35sWacnE4j8+mfWdXna9Dldnal18eAOthMqF776WjFmpaLS8pkS8eJdO/LsScWmNNSJcZiJ51VLjbH9GU2Aqf2ZxPZnRMWlZbQ/c/O9mIgoL1YqIqo6fKET5SdmIWo7OPFGExcPjYhxpVcqUjxuNJkmIl64/nYboyFyHtnjgewy2hgMcMJoyva99AZe+ePfxLIkSWg+ePIVfeyiJ5PYduOd2HbTXzOv8LFYNmsu5rROrmLiK91dObe1H71hUvdJExM0JbY4pVLRqNg1V2LoPaci+pufI3rNlQiddxZiv70cyf88K/YZ2d9nY4RTE2xrEuPBcSqCkXMoXo8Yx3Y46zVT6cyVimKvv2ljJNVH8hqtskNMpqta5kpFUDiRTdnpCSP5TGLyGVFRsf0ZEVFhdCYVEVUdvtCJ8hOzEEwqokJYkor8vjx7lj81kUTc1O5t3fnvtDEaIufpWL/S0l5ogBNGRREbDouxrut47fLrbYxmavY+9DRev+L30BLJnPtsWLwMtf5Awfc9EA6hd3Ag67aWTWs5ITGNfC2NYuykSkWjtDdfSyUVXfFjqG+8CgSCUJYuF9sPvNFlX3BT5K2rEWO2PysPDfNnWz4ro0wGKx1Zhm/+LLE48uyLNgZTXVydMyHJxvM+zOd91dJNx4CsQEO56LGYGLOKClFxZbY/k0wXhhERURZsf0ZUdfhCJ8pPnNWrYfszKkDcNNnt8nny7FkBdB3PX3ObWFx08lE44ssfszEgImfp3LhajId79iEZjeXZmyYqYErYkCSp7E/6Dbz0Bl792XXW9hcmbsWFQxYvz7ptPJtzJLS4Aj40rV02qfuk8blqjCQwbZfzkooyeU57BySfXyw/ffkNNkYzNYrpymJWKioPHYesEmN1JILkgX4bo6ku3s52yKYqUaHHn7ExmuoSOHiNGKvRGKJ799sYDdlJNSeWy+V9TEvTKG58T5BZRYWouDLan8luvsaIiPJhpSKi6sMXOlF+rFREkxIPGUlF7gqvVAQAD196JYZ27QWQmtw/7rufx1t//jWboyJyhvbVS8WYrc+KZ/PdD1uW133rMzZFUjzDm7fjjStvytkKrbW+YVJt0HYe6EU8kci6remgySUqUX6yzwdJMSYFnVipKJMya45lecU7T7IpkqlpWjzPUvGGSUXloW2NkeAY49+spHymNsa6qkI7UL6tD8uNb/kSMR7ZucfGSMhuetKcVMRTtZSdHouKMSsVERUXKxURERWISUVEVYcvdKL8ekYHTCqiQkQHTZWKqiCpaKS3D7ec9SnRjkiSJGz69Ln4wIPX2RwZkf2aFs8V4/5tbMNTLP/69c2W5ejeAzZFUlyDr23Fjj/fl3P7qrkLIOXcmp2madjRuzfrtvoViwq8N5qIlo2rRWKLrmnQepyfJKG+/oplee15b8e6D5VfS9POQ4zqcPFQGJG+7O3/yFlals4X4+gOflaWkn+hcZyihUfy7EnF5l2yQIzD3UwqqmaauVIlW9NSLqakIlZRISouXVUty0zcIyLKT2f7M6Kqwxc6UX6sVESTEu0zWjZ4gv48e1aOXU+/gBtO/BBGTO0q5h27CZ/efB9cgep4DIiyqZ01Q4wHu5xfraRs6LqokAYA897zNhuDKa6e+x7D4Ktbs26r9QcwexLVirr378u63hXwIWB6jlJxtJgSW/TefUAie1s7J4nfdzeSLz1vWdc4f5ZN0Uxe2xqjOhyrFJWP+nmdYsxKRaVlrlSU7K2MBN1y4Z5tPO9HdvB5X820hDGZLbFSEeWgxaxttCUmoBEVD9ufEREVhpWKiKoOX+hE+TGpiCYlZKqYIcky3FWSVLPzyedx1cZ3offVLWJd08I5uGjHP1HHSWuqUoHmRjHuZ/uzovrP7/4kxrULZuPsfU9UTBLjtpvuytkGbXFH4Yke+4cHoWacKB1Vt2RewfdH+TWsNlralEPrMwBALIqRr37Osuq5a26zKZjJa1k6T4wHmJxSNmpmtIhxtJt/t1Lym5KK4jvK5P2qQrhnGOcYRlipqKqpcVOyiMJEEcrBVKkIYCUVomLTzd+X2f6MiCgvnUlFRFWHL3Si/MQZbXfAD29djZ2xUBkJ9fRalj21QZsiKb3+rd245vBz0PXPp8S6QHMDPvXm3zHvLYfaGBmRPczVygaYVFRUr/75fsuyr7UJB116kU3RFFd03wHsf+o/Wbe11DWgPlDYMYmmaTgwPJh1W3BOR8HxUX61i4xJem13+bzu5TlGCypNVTGwrdvGaCanfq5R+YOVisqHr6FOjFmpqLT8C4z3q9gbW/LsScXmajISz0M8RqxqWsSUVMTqM5RLlElFRNPJ3AJN5uuLiCg/64WQzMQkqgJMKiLK7wCAxOgCqxXRREUHhqDrxoGVt4qSioDU//8NJ30YL950l1jn9nlx3n2/w4YL3mtjZESl5akJQFKMwy1WKiqunn+/NGZd0/qVNkQyPXbf+2jObfNnzCz4/vqGh7KuD/D4pugCHUaLOm1XGSXmmI5dZEXBmvPebmMwkxNsaxbjwe27bIyECuHy+8Q4yjZQJeUzJUGOPPeijZFUHzkQEOMQW+RWNTVqJBWxpRXlomVUKmJ7JqLi0lVzpSK+FxMR5aMnk+ZFJhURVQEmFRHlpwHoGV2o7WzPsytRbp6awPg7VRg1nsCf3vdFPPq9X4t1kizhlF9egnXnn2VjZESlM+uwgyBJEoBU1Y8htrYoupED/ZblxrXLbIqk+CJ7ejH05vas2zqbWrKuz2cgHMq63j+zteD7ovx8zQ1irPWUT2JL8rmnLfGe/tvvQC6zE+rmijesVFQefA11kE0JuDEmg5WMu7UJrlqj8t3IE8/YGE11kQMBwPS8D3fxeV/NkhFrsghcTBahLKIRyyIrFREVl3mCXAn48uxJRER6UjUv8uCVqAowqYhofGI2gpWKqBDmK1yqqf2Zha7jga/+BH989+eQTF99KUkS3nblt6oy0YqqT8eGVWI8tHMPNOtVHFQEj1z6K8uyp64GLZvW2hRN8e179N9Z19f4A/B5PAXd19BIOOt62e2Cx5SIQVPnMrU91HaVR/UJqb4Bro1HIPKLy8Q6xePG/OMOszGqwrn9XjFmUlF56DS9Z+vJJGK799kYTXXxL5orxrqmId5VRpXVypx//RqReK5rGkaYeF7VVHP7MwBgBRrKhu3PiKaVHouLsRLkOUsionxYqYio+jCpiGh84pJBJhVRITRTL+5qa3+W6eVb7sFNp30CupZKtHJ5PXjrz75mc1RE06915WIxHmDrs2nx5P/9DtHBYcu6kx66AZAr4zB34OXNObc1BGsLuq9QJJJzm7elsaD7otw8DXWQFON8irbb+ZP0rkOPQt2d/0TNT3+L4KU/Fet1XUfvy2/aGFlhAi2NkEyvfbY/Kw/tBy0X49iuvYCq5tmbism3wGh9pmVWSqFp5V+3WoxHdu2Flkjk2ZsqXTI8YllmCzTKKpmEbm5V62HyGVExaVFzUpE/z55ERKRZKxXx4JWoClTGbAvR9GKlIpoULWFka7MqD7D1/sfx3DW3ieVV7znVxmiISqNxwWwx7mdS0bTp37LDsqx4PZjz9hNsiqa4kqEwYn2DWbfVBwpLWE2oScRzTFq662qyrqfCtRy6Toz1ZBLaPmdXn3BtOBTBy34JKTj2OTDQtQtDO50dv1nnoUbFGzUeR2jPfhujoYlqWbZAjGM7WF2qlMyVitS+/jx7UrH5lhuJ52x9RsmRzPZnnJeh8bFSEVFxaeZKRTyPS0SUl86kIqKqw6QiovExqYgmRTVN3FZt+7MMT/z4GjF2+704+msX2hgN0fSr7WgVY7bhmT43nX4Bnrv2Nsu66P4+m6IpvkhPb9b1Nb7Cr56MJ7MnFSk+b9b1VLhmU9tDbW+Pc6uueH0IfP9y1PzqBkj+sSfNo4PDuP6E820IbPLa1ywT48HuPaJCIjlbw/xZYhzlZ2VJ+RfPE+P4DiY/l5JnnpF4Hubzvupp0Yz2Zwo7SND4JLbJIyoqc1KRHPDZGAkRkfNltD9jUhFRFWBSEdH4mFREk5I0lc311DCpCAD2v7YVb979kFg++pILUT+308aIiKaXv7FejJlUNH2Gd+3F63c8IJZ1TcO+h5+xMaLiig8MZV3vnsRV7HqO9ZLCrwXF0rBykRhru507SR/4yrfhOf5ky7qX/3A3bn77J3H9iR/CDxo2jKkC5nStyxeK8dCOHhsjoUKYv2PFuvlZWUr+JfPFOPpq+bQ6rATuGe1iHGaFrqpnbrkDAJLCeRnKwdT+jJWKiIrLnOCpBFmpiIgoH1YqIqo+nD0gGp+RVNTZnm8/Iouk6cuol5WKhAcv+Tm0dCa74nbjghf/Al9Tg81REU0Pd9CoJDPApKJpNbRzr7EgSfC1NdsXTJHpavZqK7IkFXxfWo7KLZLMrwXFUjPfqD6h9TgzqUhZvgqeU88Sy/FQGA9/50r88ZyL8Pod92PrfY/ZGN3kNcw3EpUHt7OdULnwNxvHgWx/VlqBJfPEeORfz9sXSBVSTN9/RpgEWfU065XerFREEyIzqYioqMzfuyW2oSQiyouVioiqD2cPiMZnJBXNbAUmMYFH1SkxEhFjb12NjZE4S8+/X8JD375CLHtrg/jgg9fZGBHR9HAF/JZEDU5wT6+BLuPxlSQJss9jYzTFxRZO5SVganuo7XJeUpE8Zx6Cl18rlrVkEj9oPhQPfv2nNkZVHLUdxgUAg5ykLxse05Xg0W7+3UrFM7MNiqmaaujRJ22MpvrIQeOxD/N5TwB0UwUacDKbcmGlIqJpY67eq2cmexIRkQUrFRFVH77QicYnkooUjweB5gaM7O+3Mx4qE/GQOamIlYrMHv7fX6K2ow0bPnEOAKB9zVJ89F+34doj34dkNGpzdETFMWvjakjpRFRd0zDYvcfmiCqbknFS/cjrfoi/H3uuTdEUF6sIlRePqe2h1jP9yYRy5xx4z/0w5DnzgUQcWvd2aLu6oe7ogt63H3C5ITU2QW5ugTyzE57T3wm5oRFAagLzwW9cDi0eH+e3lAd/Y50YD7LiTVmQXS5LpYUYkytKxm+qUqRrGpJsPVdS5mQAViqiMXjsR7lYkorcNgZCVHkkU5W4jMlyIiLKwKQiourDFzrR+AYBjAAIAEBtRxuTimhCYkPDYuxhpaIx/vbZ72DWYeswY+0yAEDH+lW4uO8p3HH+V/DyH+62OTqiqZtx8EoxHu7phZZI2BhN5Qvt6cWe51/FjHXLAQDtRx+C2Wccj+477rc5sqlz52ihmVALP9Ep5aq4aL46nqbEFfCJsbare1p/l7J8FWquuA5Sbd34O2fx1M+vx6Pf/VWRo7KP21TxZoiT9GVhxkHLLe9L0S5W9SuVwJL5YqwNh2yMpPp4Vyy1PO9ZqYgySTLbn1EO5qQiF58nRNOG34+JiPJi+zOi6sNLX4jGp8PcAs3UVoEon9iAkVTE9mdjqfEEbjz5o+h57hWxzu334R03/QQXvHQXFp9yjI3REU1d24pFYszWZ6Vx89s/KcaSJOGYW3+GuqXz8/xEefA0Zk8YGYkVXtnN48p+RbMajRV8XzSWt6XRUllqOisVSY1NCHz/8kklFOm6juev/RPu/dyl0xCZPWSXC7Jpcm2Ik/RloXPTWjGO790PLTxiYzTVxb9soRgn9vbaGEn1CW5aL8bR/f1IDA7n2ZuqksLTtZSDbrRFlj2sVERERET2YKUiourDb6lEE2NKKmqzMw4qI7HhsBi7A34bI3GuUM8+/O7o9+Nfv7pZrJMkCW0rF+O9f/0NvtDzKFa//wwbIySavMaFs8V4YDtbipTC4PZduPHkj4pl2e3CCX+/xsaIisPb1JB1faFJRbIsw+fxZN0WH2SVimJoPdRIkNATcej7903L71HWbUDNr38PpTP1PqPrOroffw6v3/kP7HvpDYR7+6Alk9A1LdXWKBZHpH8QA107seOxf+O6t5yHOz70lWmJzS6tqxZbKn+w5WR5aFu9RIyjXTttjKT6BE3Jz7E3ttgYSfXxr1slxqEtO2yMhBxL4ulaykEztz/j/B0RERHZg5WKiKoPX+hEE8OkIiqYNanIl2fP6hYPhfHXC76Bl2+5B6dffSka588S22pmtOKs63+IEy/7Eh677Go8+5s/IB7iFexUHmo7jcp2g0wqKpnNf3sY9118GU744ZcAAME5HVj5pQ/j5cuutjmyyZEUBe667O3PCk0qCni8ObfF+wcLui/KrumgFWKs7ekBNC3P3gB8fkj1DUAyCb1vf/4y+x4PPG89Hd53nwdl6QrLpjf/+hBuOu3jUwm97M08aLkYR/oGkGDFm7LQtGSeGEe3MamolAKmSkUjz71oYyTVx7vYqKIY2jq9bTKpjOg6MJocq7CtFeVgqlQkuVmpiIiIiOzBSkVE1YcvdKKJMZKKOtn+jCYmZipj7wmyUtF4uh58ElesOAWr33saNn3uPLSvXiq21cxoxUk//jJO/NF/Q9d0qPEEEiMRaKqaqkqg6xjYvhsPffNyvHn3Qzb+XxAZAi2NYsykotJ6/EdXY9mZx2P2YQcBANZ+89Nlm1Tkacjd2mokVljLsoA3d4JrrI9JRcVQb6r8oe3OkSDh8cD77vPgPftcyDM7xWo9MgL11ZeQePIRaF1bU1UKfD7Ire1QFiyG6/CjIDc0jbm7bQ8+WfUJRQDQumKxGA+xSlHZqJ89U4xZqah0lNogvKbHPvTQ4zZGU33cnabHnklFlI3MSkWUna5qGK3LWJbtzyQJkqJAcimQXK70bXqsyKZ1qVuk18lZ9keW/bPfl2LZT/Z5IPu8qcdPllPxyBKgKJDS8aXWy4CuQ9d0IF39E7oOXVVTYy01Tm0bHae3qyqgaul9dUBVoaeXoWlirKtaetnYrieS0JMq9EQifZuEnkxCE+tTy6P7aRn76Ymk5WfGvciBsjNVQCUiorGYVERUffhCJ5oYMRtcM7PVzjiojMSGjFYybH82McloDM9d80c8d80fsfiUY/Bf//tZzDx4pdieOsEjQfZ74fZbK24E25rxnrt+jb9e8E38+9c3Z941Ucl5agJiPLB9l42RVCFdxz2f/g4+9q/bAACugB9zzz4Z22+5x+bACudpqs+5reBKRTmSihKhkcyyxTRJtQuMtodaT5bXvaIg+PNr4N5w6JhNkj8A18Eb4Tp444R+V6RvEI9891d44sfl3+KvGJoWzxHjwR1M5CwXflMCLisVlU5guVGlSNd1RJ55zsZoqo+r2UgQDW3l857STNUKJRdP11IO5kpFDksqkn1eLLvqUjQcuwmSO0diDxPmbKHF4+MnKGVsA5BKtpIkSLIMLRbHrituxL4y/E49Yeb3YSYVERHlxfZnRNWHL3SiiRGvFV1V8+1HJET6h8TYzUpFBXvz7ofw5t0PYdHJR2PTZ87D3GMOgdufv42cJEk4+fKv4blr/wQtHi9RpERZyDJk02TA4I4eG4OpTj3/fglDO/egbtYMAEDTuuVlmVTkzZFUFEvEoRZ41WnAl739WZxViorGP9Nok6vtHlt9wnv2uVkTiiZK13X0vrIF93/5Mrx51z8nfT+VyFzxhpWKyoe5mmesm8lgpWJufaZFIjZGUp1k0wUnISbTUZqu66ICDQpJKpJlQFYAWUrdpqutIF1tZXS7NDq2rJfT603rFNO+6fsbreYifl7KSAyxtG/V82ybxHI2E/kZ0zo97/6Z20xjOZUUA5cr9bi43Kn/f5cLkuICXAqgZG5T0ttcgJJKrAEka9WTXONsyxnr5VqjiqnkclabvMYTjkD7e0+zOwzKQvZ4AM/U76d2/Ur0/um+ir0gRTd/v1aYAEdElA8rFRFVH77QiSZGzFKEenrtjIPKSHTAaH/GSkWTt/meh7H5noeheNxoXDAbvsZ61M5sRaClEbLbBV3V0LJsATZ99jwAgOJ2Y90HzsSzv/2DzZFTNZt58ArLlW0DXaxUZIfh3ftEUlH7MROr/uI0uZKKwgVWKQJyVyqKm5JgaWo8TcZEj7Z77Ove8/azxXjkwABuPfuz2PHoswg01WPJqcdi1XtPRduqJfDUBKBrOrRkEvHQCIZ370P348/hiZ9cgyEmKWYVbG8R46FuPkZlYXSSOi3Gv1vJBEytGpN7+f22lOSaoOV5H2bbv6oUmDMTrUesR9PBK1G/YiFq5nVanhc1P7oCUNWMpKDRpCE5ldQzmvxDVctp7c9ctcGi3E/WJDAdAPRU+zF9dF26LZkY6+kWZan2YtD1VAsyTbW0KtPiCejxeKoyz2jLMk0zWpyZ2pQBMI5XJCmVJCbLInEv9bpMJ+elX5tiH5G4J5mS+NIJZrIMSZJTyYCSlF6fWh5dL8my2BeSlPqdElLrMpLPSlVVRwkGIPu8UEOVmVRkfh+GyrZxRER5qUwqIqo2fKETTYyYpRjZ329nHFRGon3Gc8XDSkVTpsYT2P/a1pzbZ25YhTlHHAwAWHjC4UwqIlvNOnSdGIf3HUAiPGJjNNVLM11BqZXp1ZSexuxJRZFYrOD7X6+QnQAAIABJREFUCniyJxXF+gYKvi/KzmWqqKf1ZEwUezyQ5xsT+Xd++H/Q9Y8nAQChPb149qpb8exVt5Ykzkrkq68VY1aHKw/ta5ZaJsFirDBVMuZKRbEtXfYFUoX8hxwsxpqqIsznfUWSPR40H7IKzZvWonHtMtQumovArHZ4mxug+H3jJgPJDY15txMBgOR21mn9zMruWz54UartViwBLR4DEiq0WAx6PA4tFocWjUOPxaAnEtCiMWjROMCK05Mjy5ADfsg+L2S/F7LfD8nrgexJLcPrhuzzQfZ6Uuu9PkgeN2SfJ3Xr9UByp8duFySvJ5VspetQ6mvRcs4Zdv8floRkqk6kxfhcJCLKR2OlIqKqwxc60cTsGx3UzGy1Mw4qI5E+o/KDJMtQvB6o/FI6bRTTCbVkPGFjJETAjLXLxLh/69gWSDT9GhfMxuzDjYm7XXc9aGM0k5erUtHIpCoVZW9/FmP7s6LwtTVbJgnHVCpyeyzb9zz/aqlCqwrmhC5WKioPnZvWinFifz/UUNjGaKqLOako8vxLNkZSfQLrVopxZOeeim0hUw18HW1oO3IDmjesRN3yRaiZ3wl/ewvcdTWQ3K6SVQ4p1JgqMMYG041RGWa0KsxoNRjdVDEGQO52XamNhSxm+fFJPobm7mLj/5asPwdI4v9b1zToogpO6lZTU1Vt9PStpqrQVTW1PqlC07TUZJuopAPo5t5quvhPjm3GgvEn09G+Zhlc3lQfK9ntrEpFuqmyixoeQd8tf7ExmiqjadBCYWjTcCzlXTTPmlQ0kRaFZcrc/sxpSXtERE6T8T2Gb5pEVYAvdKKJEeVRGhfMtjMOKiPh/X2WZXfAz6SiaTL3mI3o3LhGLO9+5gUboyECmhbPFWMmFdnjxB9/WYx1XcfWG8vzpLa3uSHr+pHJVCry5Wh/xqSiomgxJUjoiTj0/fusO2Rcve0OZP97UOF8DXWQTVcWs1JReWhbtViMo9vZJrRUJK8HvvmzxHLokSdtjKb6+JYZz/sQ2+M6muxyoemQ1WjZtBYNa5aidslcBGfNhKe5Aa7A+NWGxhMPj6B/azf6t3Sjf2s3Dvv8+WLbjsefxXNX3wYtmYSWSEJT1dRtUoWaSEJLJKCr6XFShZZIIBlPtXJS44n0fglo6XEyPjpmElu5+8zWB9CYfg+XHNb+zDy5yNZ8VI7MiXGSS8mzJxER6axURFR1+EInmpgto4PGhXPsjIPKSNRUqQhItUCL9nPittj8TQ0464bLxHI8HMFTP7vOxoiIgLrZM8W4f+vOPHtSsUiKgpal8xHpH4Iai2PJqceKba9f8XtEdu/L/cMOliupKByNFHQ/bsUFt5L90J/tz4qj6eAVYqz17B57FW88Bl3TxCRLTXsz9r+6BTR1sw8/SIzVRAJDO9lOqBw0zDcu1ojxb1YyvvmzISmpiTJd1xF+/BmbI6ounvnG+YTQNh4j2mnJp96PtiPXQwkG4Ar4oPh9cNcF4Wtrhru+NtUCaIrVhoZ27UX/lh2p5KGtO9NJRKnl8L4Dln3nHLUBnYesBgDseuoFPH/NH6f0u6kymRPD5HTFIqfQE6akNYdW6qKpy1ntrBKYLgKRXJw2IyLKh0lFRNWHL3SiiRGViurnzITscvEKLxpXMhqFruviRKSnJmBzRJXp1N98G3WzZgBIndz464XftDcgIgCB5kYxHuCE0bRbeNJROO0330b9nI4x23RVxdOf+Y4NUU2dqyYIOccVyIW2Pwt4c1fFifcP5dxGE9ew3GgnpPVked1rGvT+PkjNLQCAttVL0fXPp0sVXkWbud5oJzTUvQd6RlUocqbazjYxjrFlXckElswXYz2RBOKspFpK7pntYhzevtvGSKrbpqsuxaIPv3PK95OIRC3VhsS/LTsw0LULyejEK0taEpi0Cp60pylRTa3eHZ1UxEpFFaOaqk6ZJ8jZ/oyIKD+2PyOqPnyhE01MF1JdzSVZUVA/twP9W3bYHBKVBV0XV2h5aoI2B1N5Vr3nVKx4x0li+c2/PoQXrrvdxoiIUjw1fjFm+7Pp1TB/Fs65/Zdw+bxZt/c++R9A07JuczpvU33ObaFoYUlFNX5/1vW6qiE+OFzQfVF2NaZ2Qtqu7MmEWncX5HRS0aKTj8bTl19fktgqXeuKRWI8wHZCZSPY3izGsV2sVFQq/qVGUpE6wEp1paY0GhUIw3y/ss0sU0XL8Qz37MuSNJS6De3pnZb4KroSCE2JGjMSQWWfs5KKNFPCkySzUlHFquD3J82UGCd7nPX6IiJymoxKRRIAGUB5noAloglhUhHRxMQA7AQwGwAaF8xmUhFNiLnNCSsVFZe3rgZv/elXxXKkbxA3nXGBjRERpfiaGiCn24oAQD8rFU2rIy7+aM6EIl3X8cj7vljiiIonV+uzpKoiliisskSuSkWx/sGKPjFcSv4Oo+qKtif7RHHy2afhWrcBALDorUdh2Zkn4LU/31eS+CpZwzwjoYvV4cqHr75WjGOs2FIy5kpFiZ2sEFVqcsBI8mX7M/u4G43EbTWRwEs3343kSATxcASDO3os1YYSI4W1nJ0s3ZQEL7uUPHtSNUtGTUlF/tyVSO3A9mcVqooSxMzPYcmbvWIwERGl6GM7uShgUhFRRWNSEdHEbUE6qahp4Rxsve8xm8OhcqAlVcjpPtyeWlYqKqajv3Yhgm2pK9x1XcdNp3+ibKuRUGWZffg6MVYTCQztZPWF6XLstz6DDZ84x7Iu1LUTwdkdgAS89IPfIry9fKsA5EoqKrT1GQAEvNkTr2L7+wu+L8rO01gnxlpP9gSJ2J9uhve950Py+SFJEt51689w+we/ghdvuKNUYVakmpktYjzI5JSyYU4IjXXz71Yq/mULxDj2+mYbI6k+ckMdJFPiOSsV2UP2eCCb2tr8as3p2P/a1jw/URqqaTJbcVhbK3KOZMxoqee0Sip6wqhUxKQiKkfm53CuNuRERJSSUakISOUbJLLsSkQVonqa4hJNnTjL1Lhwtp1xUBkxnxhkpaLiaV25GJs+d55Y3vbAE+h+7FkbIyIydKxfJcaD23dDV8d8yaIiWHD84Tjmkk+OWb/tpr/ietdyXK8sx3Nf/YkNkRVPMZOKgr7s7c9ifYMF3xdl5zJdLa7tzl59Qt+zG+H/uUi8L8iKgjOv+wE+8tSt8DXUZf0ZGp/fVHFiqJuVV8pBzYxWUc0TAKI7mFRUKuZKRSPPvmBjJNUnuOEgMdaSSYww8dwWzRvXQDIlPDilbaZmmsx2cTKbcjBXKpIclnxmbn/GpCIqR+bnsOyw1xcRkdPkSCoiogrGpCKiiROXcS5661H8gkwTopq+kHpZqahojv/+F6C4Uyda1UQSt777IpsjIjK0rVwsxmx9Nn1mHbpuzLrI3v14+YdX2RDN9MiVVBSOTiapKEf7swMDBd8XjeVtabQkSGh7cidIJB+6HyPf/rJILJIkCZ0b1+BzO/6JluULpz3WSuQ2tRMaZHJKWejYtFaMtVgc8d37bIymerga6+FubhTLoUefsjGa6uNbZySej3TvYeK5TVoOM95/hnbuQTIay7N36ZgvSGKFDMpFM03gSYqzTutbkoqoYmROGpu/81QazfR54LT2gkRETpOl/RmTiogqXOUeBRIV312jg7ZVS7DsjOPsjIXKhBozriJjpaLiqJ/TgcWnHCOWH/3erxHt46Q4OUfDglliPLC128ZIKttgRjUSLZnErTOOQHxgyKaIis/TlCupKFLwfQW9TCqaTi0b14ixnkxA792bd//EX/+M8IXnQd25Q6zz1gbxsX/dhpqOtmmLsxLJHo9lUm2om5U/ykHb6iViHOvuAXTdxmiqh3/RXDHWdR2xV163MZrq41+9XIxDPEa0TeOaZWLct2VHnj1Ly5wsIruUPHtSNdNVYwJPcjlr7k5nUlFF0mPWxEvJ7aznXTFppkpgsi97+3AiIkphpSKi6sOkIqKJexHAn0cXjvnGp1itiMaViBjVJDysVFQUC44/XFwZpcYT+Oc3fm5zRERWtaaEgP6trFQ0XV6+5R7EhsNiWVIqb/LF01Cbdf1IvLAr6l2KAq87e/l2JhUVR9M6Y6JY27sH0LRxfyb576cw/O6TEbvt92KdO+DHJ1+5B4G25mmJsxLNPGi5pY0N25+Vh5alRguu2E7+zUrFv3SBGOuRwqve0dR4FxuP/9Dr22yMpLrVLp4nxv1bnJPcZa5cpTgsWYScQ0s4t1KRbqq2JUkSUMEVbaqJFqmipKK4OamI7c+IiPJhpSKi6sOje6LCfHt0MGPdclYronElTSfr2f6sOGo728V4uKfXxkiIsvM11Isx259Nn2Qkiif/73diWaqwRF9JUeDOUeEuEissqSiQo0oRAMSZVFQUdaa2ZVrPron/YCyGyPcuQfSGq8UqX30NPvXqPfDlqFRFVjNMCV3h3j7HtLGh/Brmd4pxjNWlSiZgeq9K9O63MZLq5O6YIcZDr221MZLqFphlfJ/sd2ilIomViigHzZR8Jrmd1SYvs/2ZbGpPS+VLG7EmITutQlYxWRLjKvCiJSKiYjK/Z6YxG5OowjGpiKgwz4PViqgACdOXbxf7cRdFPGRUJvHW1dgYCVF2LtMVbf1sbTGtMhOJjv/7NTZFUnye+uxVigAgUmClooAne+l2XUdFtYuzU+18o+2hXkhSUVr0p99D7E83iWV/Uz2+sOthHPq5DxYjvIrWssxU+YNVispGzUyjql90R+GvGZqcwDIjqSi+tcu+QKqUUmd8tg8yqcg2nibjAgBHtT9Tze3PKnfSnqZGtSQ9OOu0fmb7M7mW52sqgRbNSCqq4EpF5qobTO4kIhqHrkOzVitiUhFRhXPWtw+i8mCpVjTr0HV2xkIOl4wZpXNd7MddFLv/9ZIY+xpqsfSM422MhsiqafE8S6LLACsVTauXb7kHsaGQWJ55/OFoO/oQGyMqHnd97pPwUVNZ9onw5UgqSg6HoU+gTReNL9BpJEhoPbsndR+R738D8btvF8sunxcn/d9X8NXw8zjnjivxrlt+hnf/+Rc4/odfwoITjuCEY1rjgtliPLxzr42RUCH8pkn92A4mg5VKwJSEF/nPKzZGUn3kpgZL1YPhN7rsC6bKKabv5U5qf2auVCSzQgbloJsrWjnseaJlfEeReWFdZdA06LouFuVKTipSje/GTnt9ERE5kR6zfPZz8ouowlXuUSDR9HkeQAzpD0lfQ+5KAkTWSkU8riqG7sefQ9+WHWhaOAeSJOHs236OJ35yLf7x1f/LzI4nKrlZhxmJprGhECJ9bC01nfa99AZ+tfYMfPiJm1EzoxWSJGH997+Iew5/t92hTZmnoS7r+oSaREIt7L3O78l+sVB8cLjguCg7j6lVmbZnklVXNA0j37wYWt8B+N7/YbHaHfBj6elvsex6xJc+Al3TcOCNLrz514ew+d5HsPWBJ4AqTBKrM7WxGdrJNlrlwh002jvGdjKpqBQktxv+hXPEcvixp22Mpvr4164WY01VMcL3K1vULV9ouQDASZWKdHOlIjcnsyk7NWFUA3JaJZXMNigyz4FVpEpufwZT8hQREY1PiyegBMUiKxURVThWKiKanP2jg/hwON9+VOWSpjLBlVapSHa74a2rQbC9BcG25pL9Xl1V8Y+v/sSIQ1FwxJc+gq/FXsRnu/6B477/RbgC/pLFQ2Q2Y91yMe5nlaKSGOjaic1/e0Qs+2e22BhN8bhztD8rtEoRAPi92T9/2PqseMyfO9ok2p8ZP6wh+tPvYfhD70Li6cfz7irJMlqWLcBhXzgf5/79GlySeAWf2foAZm5YNfnfX4YCrU1izKSi8uDy+SCbJkKj/LwsCd+C2WIiUNd1hB99yuaIqktg7Qoxjvb0WhJIqHRajzhYjCP9g4j2D9oYjZWlUpHDkkXIOTQHV1LJrIAqyZx2ICIiqmQaKxURVZUKTi0nmlYi61bN6BlOZBYPRcTYEyyvRJejvvoJLDr5aLiDfrj9Prj83vStD+6Ab0xJ9lduuxe3vvMzJYnt5VvugbeuBm+78pui/Ysky2iY24kj//ujOPSiD+DvF30Pz1zx+5LEQzSqxdRWpH+rc9opVLpZhx0kxr62ZkCWy75iiydHJcRIPFbwfeVqfxYfYKWiYnAF/JAUY9JE2z2FpKI09YXnEL7wPMgLl8B7xrsgz5knrpyVFyyGPKNjzESSJEtonD8LH3niFvzhrE/hjb/8w9goy1h2xnFYe94ZmLl+NZIjETz07V/ixd//Zcqx2s1nSsAb3sX2Z+WgY+NqS6WQ6Papv2ZofIGlxjGKnkhAGxmxMZrq419jJBUNb95uYyTVrenglWLspNZnQGZSEU/XUnbmc5BOq1QEzVrlRfK4bQqEppU0/i5ERFQddOvcKJOKiCocv6USTY5IKkrGCq8YQNUjZqoC4akN5tnTWWYffjDeculFBf3MinecBH9zIyIH+qcpKqtnr7oVu55+AUd+9RNY8Y4TLSdeXR4PTv7FJVj57lPw+7d9DPEQJ02oNBrmdojxACsvlEzTwtli7Ar48f7oC9j3xPOI7tmPxz/6NSSHQjZGNzm52p9FYoUnFQVyJBUl2P6sKJo2rBIJErqmQdtbvFZO2pY3EPnJpWM3BGvgPvo4uI88FsqyVZBnzxVXg8suBefc/kv8YtnJOPSiD2Ll2SfD31RvSeIAgDNvuAyJaByv/eneosVrB3fAJ8asVGQPT00Qy846ASO9fRjZ34+R3n6Ee/uQCGc//uo4xGgDFdu1Fzq/T5VEwJT4rDqoOku18CwyHv+hN7rsC6TK1S2bL8ZOan0GwNLKmxVeKBfdlHwGp1UqymhHr/jL68I6miCJWUVERJSiWZOKmE1MVOGYVEQ0OeIb1FsuvQh/fPdFOU+aU3UbOTAgxt66GhsjKcxkY/XWBUuWVAQAe194HbedcxHuqqvB/LccihXveitWvvsUyIoCSZIw9+hDcPGBp3HvRd9l1SIqCXMrQCYVlU73489h7tGHiGXZ7caM9HLHiUfglvYjoE2ibZidPDnanxW3UhHbnxVDi6ndmL5/H5AsQRXLcAiJe+5A4p47UsuBILxnnwvfhZ+HJMuQZBmffiN/spAkSTjyvz9S1klFsstlqdg0vJOViuwQbG/GrMMPGrM+GY3jvsceBkaikMMxYCgCDIZRu2IBNE2DLMuIdvGzslT8pkpF8W5Whyo1T+cMMR56fZuNkVS34BzjAoB+xyUVsVIRjU9NOLhSEVJtUGRv6jpMmW3pqZwxeYqIaFx6wpJQzKQiogrHb6lEk/MkgBMBYMnbjsWHn7gZ1x9/PsL7DtgcFjlNpM+UVFRGlYqSUeuk9YNf/xliwyHEhkKIDoYRGxxCdHAY0f4hfPrNv4vqBy6fPVUuY0MhvHb7/Xjt9vvx5E//H97x+x+jadFcAIDicePkX1yCZWediJtO/QSS0agtMVJ1MCfk9TOpqGRuOv0CHPnlj+HIL39szDZPQx3eH3sRb151K5664JuWq8CdLFf7s+gkkqP8Hk/W9fHB8qvg5ET1KxaJsdaz254gRsKI/e5XgCLDf8Hns+6iqyrUN16Fa7mRBFUzo6VUEU6L1hWLLBWYhtj+zBaB1qas6zVFQsQjAR4/0OAHOhsAAE8f2IEXr74atbW1UPYcQOy4g+ALReEZCqNuMALlwCCrF02DwFKjQkvs9c02RlKd5DqjAuHwm2x/Zhef6f3Kee3PjGNU2cVKRZSdo9ufIVWxYDSpSDJVk6QKUsHJNrpqJHeyYhwR0fgyqhQy34CowvFFTjQ53wKwAUATALSvXoozb7gMN5z4IXujIscJ7+sT43Jqf2Zu66epKh7+zhW5d9Z1cVLB7bf/pNHuZ17Erw8+E2/5zudwyCffJ6oWLTjuMHx58F/4z3W34y8f/drk7lyWUTerHTXtLfA11OU/yZBxokWWTcuylLGr9X50VUUiGkMyEkMiEoUai0NLqqm2OkkVup66haZDSyahpW+hadCSGjRNE8tUOrLLBdltHFqxUlHpxAaH8cBXfoyX/3A3Tv31t9G5cc2YfRZ/5F2Yd87bcMfKUzCyo3jtqaaLO1f7swIrFXndbsg53qsSrFRUFLWm9nvaHnurf8R+9xu4lq+G+9gTxLrEow8idsPVSL76EpBMoO62+yHPmAkACO0t74T4GQctF+PowBArh9okmCOpaCQWybpe8Xqg6zqGhoYQ3bcPsdY6oDX1nrdx0VIs6piFZCiM5P5+JHr7EO/tQ2TzdkRe2zJt/w/VwL/ESCoaefZFGyOpQi4XJNMxYmirs5JZqokrGBBj57U/M1UqclhbK3IOzVQRQHJgRSs9HgeQOvclO+D8EBVfZkvliqKazqEpTCoiIhoPKxURVRfnffsgKg+PA5iHVHLRRQCw8IQj0LpyMXpfftPOuMhhzNWryqn9mWpKKhrvhIGu66IfoKsEJ40Urwduvw8uvw9uvzd964PL74Xb74Pi9UBxu9D9+HOQJAkbP32u8bMeNw7+yLuw5twzsOuZFxA5MID48Ag8tQEEWhpT+7jdCLQ2wddQC5ffB0mWIMsKJEUu25Mnuq4XsLP4j+nnLRvFCl1P/UeHntqk6+kf11NjHYCuQddTj73sUsRjKH5W16Cnk6LUeAK6qkHXdWiJJIZ27cWB17dhoGsXwvsOINSzD8M9vQjv64MaT0BNJKAl1fS/JLR4MnVrUyWametXWp4jpa5UJLtckF0KZJcrlYCmqtA1HbqaSkgbs6/bBcXtgiTLUBNJQNeRGMk+AVwu9jz/Kq7a9C4oXg8+/PjNmHnwSst2d00Ah1/9Xdx/wvk2RTgxsscNlz975beRWGHV1vw5Wp8BbH9WLIHOdjHWdtvcUkhNIvzFC6AcvBHK7LlQ33gV6qsvic2uo48TCUW6ruPvn/++XZEWRduqJWI8WAbJgpUqV6WiUCRHUpEpuULNqCAZ9KVapbhqgnDVBOGbNwsAMPjIM0wqmgLPjFa4mxrEcuihx2yMpvoENx1sOUZkUpE9fG3NkEyTxM5uf8akIsouGTMuMDBf0OIUuikpw4mVlIjyMZ83Kdfzf0REpZSRVOS8AxMiKiq+yIkmbxjAFwAcDWA9ACw4/nAmFZFFaE+vGMuKAnfAXxaT9uZKReOVNtY1DUhfSbnuA2/H7MMPgq5pkBUFisedSvLxuMU/l9cDOWPZvD3b/orHLZKHisHl9WDukRuKcl/loKCTIZL4j3VVkRn3mT7R6PWMXtAo1Ha0ofOQ1ZP+HeMlU4nKT6qK3LvqphwrUzKV8UvEMDNx8H13/8a6i2lfPZ14ZYlT1yEpChR3KuFHdrlyjBUobrdICkrdjn8xyGiiUb59Q3v3Y+9/XkPvy5ux98U3sOe5V7D/ta1jWiI6nRqL49qj3495x25E28rFOP4HXxTbnHjyPZMnR5UioPD2Z35v9qQiXdORCLGqSzGYW6nYXalolPrs01CffXrMevPngZZIYsej/yplWEXXunKhGLevWYpz7voN9jz/Kva98Br2/uc1HHhzuyOr9rl8vulJgpVluDweyC4ZsscDWZZENcPRCoeQpVQCqiynJq3TlcxS20erHaqQZQkunxeKzwtXuo1JMhYXx3eSS4HL7YbscaHz0DWon9MJ6Do0TYOuqqlqjvEQfI11qY9S0+eepdJjUoXkcWP087auoQ5S+velM5Ch60ByOJyqeCBJgCSlnssSMpYl63GrSHLWxTi1HtZ1WT6PR/cz0zUt9XwqJFnbZpLbDaWuBs1nHG9ZP/PbX4bkdkFyuSC53amxxwPJ4xbLkOTU32r0cQaMx1TTAV1LPacsj3F6HdI/k3lcqeupCWddS9/qlsfUcuw25u+hj/276em/i2mdPnqfWvp3jI7F3w9jD251QE8moCeS0OPx1MlxSYLSUJe6z/TrQ0+q0DU1VclA143fPXqrKJBkGbqmIba5C5HnXkDk3/9B8PCN4leFt++CGmE7Zju0mr7/JaMxx7XMNH8mSKxURDk4vf0ZVYFKTrYxf2+o5P9PIqIi0U1J8WClIqKK5/xZFSJn0wE8h3RSUc2MFnujIccZ7tlvWfbUBssiqcgcoyRJqQmnHJNyuqqJQ8aDP3p2KcJzBDWRSE2o5JMx6ZR1oiTLNllRUskjPJk8JeMlU0mKMq2P8bxjN03bfU+GJMtQ8rXsA1DT3oKaE4/EwhOPFOt0TUP/1m4ceHM7Qj29GOntQzw0gmQ0Bl3XRXUkWZEt1ZJSt4qYPM6crDWWc2wzTT5LipxqZagoqephigLIpklkQIzF312SUpsyngc7//LgpB6/UvI01ufcNlJg+7NclYoSQ6Gymhh3MleNkRGpdW+3MZLxafv2iLHsdqF9zTLsfeE1GyOamvbVyyzLi992DBa/7RixrI8mP1iyQ6QccwTS2ESDSTAq8mV/fWV+NlmPDYxQJvt7naTnYRnt3vxJXUFTtSlJkrDow+/L2rJx5vnvLHp8U6FbElV0Yzmd6CLJpiSn0c8mOUcCVGZik65b71NLJ60oMpRgIJW0oqaTolVTHBkklwtKjoT8+lOOz7qeii+VoGQsD7621b5gqlzzRuNihf5tOx13HMRKRTQRyaipqvQELiwhoomznOOTnXdsTUTkNFoiYV7kgQlRhWNSEdHUidk9pQyqH1Bp2dWGaariw2HLck1bs6XqktlwTy8a588qRVhZjU6+6OnJF800yaOpqXW6qqavnNfga6yD25d9kn3LfY+hf0s3Qnt6EerpRWjvfqixBOLhEcQGhxEbDiM2GEJsKFSav60kpSrRuFypSah0EkXqqvHUrSQh67KxbpyfEZNd2dalJlhTPyMZPy9L4nfIiizGkiyJpA+x3ZVK3IkODiM6MAw1XWVltNKB7HbB5fXAUxOApzaYShyRZXjra9C8eB4aF81BoLkB3vpa+Brq4K0NjvOgUbFJsoymRXPRtGiu3aEUxe7BIiOdAAAgAElEQVR7H7U7hHF5Gmqzro8l4qn3uALkSiqK9w8WHBeN5Wmos0z8aTud1Uolk/rGa9B690JubYckSTjhRxfjhhM/ZHdYk6Z48p+zkiQJkmLPhMBEk3ws+1XY3EUoFCpo/2AwmDWhyIkkWQZkueh/sonen5ROtCXnkzLOEXScdBQ6T3sLdv3lHzZFVL0a1y0X4wOvb7MxkuzMFWhkF88tUXaqqWqp0ysVSbKz46NJquRkG0v7s/I4JiUislNG+zMmFRFVOH5LJZo68S1j3KolVH0yJn+lMpkoiWUkFQVntORMKrr1nZ/GKVd8CzUzWtJVQVLJJbqqQk2q0BNJqMkk1HgCajwJLZGAGk8gGY1DjcegxhJIxuJIRKJIRuNIRmPiXyIcQTISRSIaR2xwGNHBYcQGhhEZGER0YBjxocImq0a1rlyEc+64Ek0L51jWzzlyPXY9+R88/qNrkAg7oC2Qrqcft8T4+1YJSVHg9vtE5RpIkimxyUhmkpTRpCdFjCVZNqrfKDI8NUF464Jj2+plVL4xrcpSCccYn3XDZeIuIv1DePW2ey3bjbuXxIm4zPvSEkmo6deImkhCjcWRjMVTy6PjWALJWPp1EjHdxmJIRGJQY/FUhSBFgcvjgux2p1umuSApCtRYAoloNPXaGolB1zS4fB54gn4sOPFIzDp0LVqXLUTd7Blw+X2OrH4xWYlQGAMvvWF3GOPKValoJFZ4G7pc7c9i/UMF3xeN1XaU0UpFT8Sh7e2xMZoJUJOI/elm+D/+WQBAx/pVNgc0NS6/8fzWB/ugv/EipI65QHMbJF/AxsiqS6qiTrrChiSLz7zQ8LBRQcf8mZlDbW32hEoqvvBf74GeTEJPJoFEErqahB6NpVp/xeNAPAFdVVN/V3O7uHTCOmTZaI8mS6lWyCIBXTH3frX+rGTsL8kyoKTuB8CY46oxt6aWd6n90uvSSfFim1hOJ36Nxjt6LIgxne1S9+dypSbolfStJEEbDonfkbqfVMtASZGNmGQZqQpoUqo1mqZBcnugdMyAq7U16+N/7J1XQlc1xA70I7r3ABJDIWiqam3hNipbRcekmm5Bp2NMS1093ZrNdBeSkq4i6U5XfUwn/UsuFySXDElOHS/rqpq6b1WDpiahJ9VUq+D0Py2ZgJ5IVcnSEkloiSSS4REkBkNIDA0j3j+MRCgMLZaAGo9BS6iQ3QrcwUCqlWJtEO7aINz1tfA01MLTUAdPUz0Uvy91vOpJtfWV0hdVyKN/Ezn13JFHW/blmtBOt9uTzG33pNTjlRyJwm+qLL3fgRWjVFMLcl6wRrlYKxU573mimdpmKzW8IKhipD/HgVQlxEplqfxYJudviYjsxKQioupSuUeBRKUTHR24fB474yAHiodGoOu6OEHuCfptjmhi1FgcaiIBJV1Ou6a9BXtz7Nvz7Cu4+tB3lS64Iuh9eTMuX3QCNn76XBz/gy+KpBK334ejv34hDvnke/HUz6/H45ddXRbt6qqJrqqIh8Lj72iDU355CXz1qQnR+y/+IZ696labIypcz7OvWJZljwdzj1qP+ccdhubF81Db0QZfQy1cfl9qskOSUlXB0hNQuqpCU1VoqpaafFLV1Ik5c6IWYMzzmBO3kH2bLiqPaelJLjVdnUwzKpVltlJLt2Uzt6DrefApPP3Jb03PA1dkuSoVRQpsfQYAQW/21jeJASYVFUPrprVirO3eCahqnr2dQe/ZJcayAyejCuEOGM9v9fufh/7C08bGYC3Q0AyprtHUxlU3Wk2Z/ulItZsS28W+OX6xlLGg66nki9HkmtGJl9EEG0VJPTc0LX2rGusVV/qfkvoHpH+vOUYttU43xWg2+nvV0d+fqtpoxCEZ8aQTDiz/AFNyBIz9k0lATf+DlIpTT/8OLf3/3DoT8lnnZ32YQk89lEpagel/q6kNckcqqVtPJqBveVkkAvhH9kF7JP2YmtuDJeLQ/3KtEf/o30fTjMdGjLWMx19OJ52M/rlkkQQymhgj/p/Nt2MmktLJMLKcehzSySVQlPTY9E+C8fiPxqONxp1qlybWW353+neI32W+3/RzODyYupVlQHEDrvTzJ5MkA2oC6O8F+vdB/uX9IqFm9zvOQfTRx7P+zai4lJkzUPP209H8za+N2SYpMnxtzfC1NdsQWfVx19VYlh2ZVMRKRTQBSVPSjhOTitSwcf5EyfGdhsqQuSuYA593RWM6xq6ga6uIiKaNxqQioqpSwUeBRCUjSqW4a3hFNOVnnvxyuthQCIHmRgBAsL0yT3Y/ffn1+NeVN+HUX30Laz94ZqryDQB/UwOO/eancfBH3oW/fe67ePW2e22OlMqBJ2h8BvRv22ljJMWjxePY9sAT2PbAE3aHUrC62TNx0Y5/iuUHTvkYtGg09w84iDdXpaJJxO/L0f6MlYqKo2H1EjHWurfbGMnEuU8+XYzDvX02RjI1Lp/PUgFS791j3SE8DISHoe/qKm1g1caf/ftPUlURz9Yq1m06z6gmjQpHAGpcChDL8j7XtxfY5bwEgLLR2Gp5rSS2Oq/tU6VSe/Zg8LfXoOkb/yMSq5ORKFyZVTKp5JzY/szcXjtnNSaqeomIkVQku503d2dJKqqrszESKi5Tsk1FJxWZxswqIiIal56wdFdw3oEJERVVBR8FEpWMSCrysLQvZaFrOiQl9WXUHSyfxLP4cFgkFQVaGm2OZvpoySTu/Mj/4P6v/gTvvu1yzD7iYHHSv27WDJz9x5/jtTsewB3nfwXR/kGboyWn8tQEUq0w0gYqJKmonNXPninGuqaXTUIRAHgas5+AH5lEpaJAjkpFcSYVFUXNglliXA5JRfLiZXBvOlIsP/vrm22MZmra1y61ttPavyf3zjRtpJrsSZDhaPb3K8llquyakXQU8Oao+hoenlRslLb8EDHURiJQe/haKSXPMut71Y1th0P2etC6YRWa1iyFf0YLPHU1Rou1zJa5Y6o9SqK1b6oVHIz1krXK1+jPaMlkqtpj0tzSLJmuNJlahqZltEZTUu10Xa5U22GXS7TXHd0mu91Q/F64gwG4gn64gn7IHrdovSspMnRNhxqNpVr8RlNtepOhESSGw0iERhAfGEIyHIEaT0BL/1PFbRx6IglNTVX6SkZjUCOxVJs2S4s461jXR29T1dhcAT9aN67Gyk+fK3ZzYqUiLWkkWZZL23QqPdX0ncaJyR3qoPGZ7WptsjESKipNB9IFNSu6/VlmNVAiIsqL7c+IqkvlHgUSlY74xuytZVIRjaVrKpBONiiX9mcAkBgxTlZVw3N7ZN8BXHvUe1E/txNn3fgjzD78IHEiftkZx6H1yT/g92/7OPo2O3/SmEpv1mHG80VTVQzu6LE5ImpduUiMkw5tmZdLrqSiSKywpCJFluHJcdI3zvZnReGf0SrG6s4dNkYyMa6DjOSCxEgEj/3wKhujmZoZ65aLsT7YByTiNkZTxWqyv1+FcyVymqsqJK1/s5pc1VvCfL+aCmnRKjFOdHWNbZ9H08qz0nivivUPIhEKA6Ewdt77CHbe+4iNkVUXb7ORABnedwBRBx4HaSqTimh85kpFkixDUhToDmq/G993QIw9M9ttjISKSdd1o5OsA5PZpgUrFRERjYtJRUTVhd9SiabOVKmofKrQUOloSU2M3eWUVBQxJoOqqQrX4PZduPbI9+D6E85HpM+oTNS8ZD4+9NhNmHHQChujI6fqOGS1GA9191jaF5A92lYuFuOR3ftsjKQwkqLAnSORMxIvrNpSripFACsVFYunvlaMtZ3OTzp1rVwjxgde77IvkCJoWb7QWMhsfUalU5u9UlEokiupyKhGpGdUXwt4s7dr1Ef4fjUls4zXSpKtz0rOvWiBGJfT8UilaVlvJNftd2DrMyCzUhEnsym7ZCTjIgPFWaf2I9u6xdg7f7aNkdC0qeTk5Er+fyMimgYZ57+ZVERU4Zz1zYOoPBlJRVVQzYUKZz648pRR+zPzyapqTJjb9sAT+GHzRmy9/3GxLtjWjA88eB1mHbrOxsjIidpWGQks/dt22RgJAYDL78Oys04Qy4OvbrExmsKYk1QyjRRYqcjvyT5BDwDxQbYTmipXwA/JpYjlsmh/1mG0a2tftwwffeY2nHLFNzHrsINsjGpyGhcYE1U6W5/ZRsqVVJSzUpGpxVk0YtmUu1IR36+mQmrtFOPEti77AqlS7tlzxJhJRfZpMCWi9r3RZV8gebD9GU2EmkhYliVFybGnPULPvybGns4ZNkZCRWWu2qNpufcrd+akIuZ2EhGNK6NSUZWUsiOqXnyRE00dKxVRXmrcOOlTTs8Rc6WicqqwVGzXn3A+TvnFJdhw4XshSRJ89bV4/71X41drz8BA1067wyOHaFxgTBgNbOPzwk6SouA9d16J+tkzxbqddz9kY0SFydX6DAAi8cKSinJVKkoMh6GzmtaUtRy2TrQ91FUV2m7nJxTqpokoSZLQsWEVOjaswiEXvAfxcAR7nn8Fgzt6EB0Yxut3PIAtDm7N0zC3Q4z1XractE1NAZWKFJd1ojxqtKaUJQl+r2fszwBAaDD7epqY+iYxZFJR6SkdxqR6mElFtqmZbfwdnFupyHRsxrY7lEMyam0dak5wd4KBh54WY0lR0HD6iRi48+82RkTFYH5L0rUKruZjSiqS+D5MRDQu3ZrsnOMLPRFVCl76QjR1LaOD2FAo335UpdSYcdKnnJKKqr1Skdndn/o2Hv7fK6CnTzB462rwlks/Z3NU5CS1HW1izKQiex333c9jwfGHi+VQ105svupWGyMqjKcx+wR9PJlEUlWzbsvFn6OVUHyAVT+KodVU3Ufr2QUkE3n2dobkow/m3OYJ+jHniPVY/Z5TccgF78H7/3YVLu57Gs1L55cwwokLtjcbC/t22xdINZMVIFCTdVMomiUJ0mNqfabrltdMjd+Xe/KGSUVT4zOO4xNdzq+oVmlcreJ0ASsV2ch8fHXAsUlFrFRE40tmVC6V3M7qNJLo7cPQ0y+I5fZPftC+YGh6VHKlIhOdrdCIiMalxSzJzrnLpRNRReC3VKKpE3W0+7fssDMOcihzxR9vXfaJFyeyVCrK1Y6iivzzGz/H89f+SSyvfu9pltYrVN38TcZERT+Timyz5twzcMTFHxHL4R27cfvik2yMqHC5KhVFYjlaCeURyNH+LN7PCfpiaFqzVIy1XeVxDBj7/bUIf+lCxG77PWK33oj43bdD3dGVc39/Yz0+8I/rShdgAXymVoH6Hr7v2qKmNmc1jXC2SkXm1mcZEzU5W58BQHhoMtERANQ1QZKNKhasVFR6crORABnuZqtGO7gCfshuo1D7gTecmlRkVCqSZFbIoOzioRHLsvm57RS9t90rxrWHHQy4nBcjFch0vKdXclIRqxMRERWESUVE1YVH9URTZ0oq6rYzDnKoxIgxqeKpDdoYSWGS5qSiAJOKAOCuj1+C1e87Da50e47/+t/P4k/v+6LNUZETuP3G9yZWKiodSVGw6KQjMeOgFWhcOBsHnf8OsU2NxnDX+rOsrSTKgKchR1JRga3PAFYqmm61i+aKsdZdPtU/Eg/+HYkHrW0o5PmL4D7qv6AsXQGprgHK8lWQGxoBADUzWy37zjn6ENR1tqProacRsrHqhmJqlaXvc37ruYqUo/UZAISi4yQVZVRey5lUFB0piypgjrV8vRhq0SjUHia1lJpcY1xUMvRml32BVLEZRx8iKqFpqoo+h563sVQq4sQ25ZCZVCR5nFWpCAD23Hgn5l96EWSXC5LLhY6vfAq7//endodFU2FuC6Y4q+VeUVn6vNkXBhFRudDjlu/qTCoiqnBMKiKaOpFU1MdKRZSF+aSPt4ySiuLDYTGu9vZno7RkEm/e/RCWn3kCgFS1ov4t3Xjwkp/ZHBnZqWZGq6VFwUAXk4pKoWXZArzzlp+iffXSMdt0TcM/Tr8Asf39NkQ2NbkqFY3EiphUxEpFReHvNNoeat3lfQyobduM2LbNYllesBh1t9xj2ee4730Bh37+g3ClW1jpuo7tDz2N//df55U0VgBoXDjHOuG6l0lFdpBqsycVRePx7O0aLUlF1oTPGl+OpCJWKZqaxWvEMNm1Y0yFKJpecmODZfJ1cHN5f1aUq/bD1onxQNcuaAlnJiqak4pYLYNy0jToui6Og2RTkrVTxHfvw/7b70fbO98KAGh535lMKipzuqpBSs8iyaxkTkREabpqqV5XwVmnRASw/RlRMbD9GeUVGwqJcTlVKooOmuKuKZ+4p9vtH/wyYqaEq6O/fiGWpZOMqDp1blorxmo8juGeXhujqQ7ta5bigw/fmDWhSI3Hcf9bP4Ke+x6zIbKpK2alooAn+wnfWD8n6YvBY2q/pe4sn0pFE2JKlJQkCRf3PYMjv/wxkVA0un7esZuw5LS3lDy8Wab3XT0yAgwzUc4WtQ1ZV4eytT4DILlNiY5JS5n03JWKQgOTCo1SpFmLxDixzZktnyqZ79CNYqzG4wjv2G1jNNWrYfUSMe7b7NzPa0v7MyYV0QQ5MakIAPbeeKcYe2Z3wNXWnGdvcjpdM5IeZX8FF6Lgey8RUUF068VEzDcgqnB8kRNNjR9Ax+iCU8tok73i5ZpUNGBMOruDfhsjcZb4UAhXrj4NSVPP4DOv+wHa14xNbqDqMGPdMjEe3NHDKgAlcPLlX0ewtUksR/bux8DLb2LrjX/BH1oPK9uEIgDw5qhUFCmwUpEsSfC6s7dDiDOpaMpklwuyqd2EVmlJReGQZdGf43kJADPXr5zuaMZoN73vskqRjXJUKsra+gwATElpyEiUzJ1UxISxqZDaOsU4sa3LvkCqlHetUSlqeNsu6JqWZ2+aLnULZouxk1vWW9qfyZzYpjzMragcmlTUd++jSKTPKUmShLaPn2tzRDQlplMcVZP0yPM606rjE+/FMdGXcGz8FRzV9ww2vX4v1v79Wiy+/OuY+aF3IrBi0fh3QkT2s1YqYr4BUYXji5xoahaMDtR4HEPdPXbGQg4VHRwW43Jtf+byVfCVSJMwuH0Xbj7jQujpkwyemiBOuOxim6Miu7QsEx8FGNjOK9BLQfFYk2X+cerHceeqU/Ho+7+I5FAox0+VAUmC21T9xmwknmOSPgf//2fvvOPbqO83/tzpNC3vHcd2lrN3QhIgCwKEPVs2YRYKhR+jlBYoUAqllELZG8IqhUAJDSvMMBJCyCAJZC87sZ14xFtbp7vfH7JvyJJtWbJO4/N+vSCfm/p4nU73fb7PYzSGfODraSVRUaTkzpyo+v4KNfE7SNkfhEO14Df82G29d+1qdFx1vmrd/m+67zfQ5I2Sr7tiA4mKtIKxBhebhXIqAicPfIoB17RQoiLRRteriMiUnSG8lUkmfkwA9KNkh5yOfcn1PpFIWIrzpTqe3aVV8WdIkUF7ol+Igix20FniM4pKcLnR8uVqaTnrxPnaNUMQfSRlBFNxwNB7bwBr0IPhdOCyMmCpGIKc447C4N9djNEv/Q0zt3yM+b4dmNu+EVO+fRN5Zx0PXYZV67YJggggYNIExZ8RRJJDoiKCiAxp6md7TT3NPCSC4lbEiOktieP4IyjsK+mDdXf2frYS65/5j7RcNmc62BCuIERykzVksFS3kahowDHnZmPwrMmqdSeseF2jbqKLITM95Mx0hys8pyKzIbQYlERFkZOv+B0U6usAd3iir0TA/ofr4HzqYXg+fA+uV59Hx1Xnw37dIsAhi45FUUTVN2tj3ltWuWQUCpGcirQjhKjIHux6xTBglPdJLof6VORUNDCY5AkNfBWJimKNvrxMqklUpB3KuNLmOBYVqeIj6PM30QOCIopKF8fPmFq/le8RTSOH9bAnkVAk8/VJ+aWRU9GAou/BCbcLhmGgs1qQNWc6Jrz3FOa0rMekL15VRXUTBKEtAfFnJCoiiCSH07oBgkhw8roKe2Ozln0QcYxXMVs70F0jnhEV9pVkvx4cr1MeNOOMhqR+tkKExqqY/dy2nwa3BxK9xYzz3n+q+/r0NGSOGY627Xs16Cp6mArzQm5zhClasRiDD9DzTjcERXwj0T+yJ4+RaqEmfgcoI0Fsb4P71ee6r1dGbjAMTDlZcDW3xrI1pBXK7itoIKdQzQhHVMQFxLMoREVGPQdOF+L5o51EkP3GYgWj+L5695OoKNZwBQVS3R7HYpZkJjCuNK7jz1STejRshIh7RN4HdL6tsnEcVd/2/U9SzVrMYC0WCA5HD0cQcUuqCGwUF18xVb5mDeCyMsBw8rDkhtsfgSEzHdZhpUgfXoqM4WUwZHX/nMEwDHIWHInp697D+mlnxbJlgiBCIaiulaT4I4gkh0RFBBEZ0oiG43CLln0QcUyiiooEminZI0MXHIlZN18mLe/+5Fv4PF7tGiI0w5yTKdUUfzYw6IwGHPfgrZh106VBt3dU1iS8oAgAzEqhhAKXxwOvjw/vXCGcijwt5PoRDTJHDpFqX01qDdQLB2sgCgKYzhmitx1eg5ofNuE/p1wNV4xcsIwK1wmxga67msDpAWPwgUy7K4gIUnEPLIqianAqzdRDdAuJivrPSNlRTeR58LX0txJr2Az5WtVRWaNhJ6lL7rRxKtfdljh2jFJO6iGInvB5feh6V+XS03rcV0vsW3ZD9PnA6HRgGAbps49A2+ffat0WQYSEUTrgkKhowMg6ZqZU+zwebPnny4FuJzBkZSB9RDnG3HAxhl10GiAIkjt8+pSxmPTZYmxeeEVM+yYIojvkVEQQqQUpBwkiMiRLAWdTbGdoE4kDr5itnUiiIp/CyYLl6J4wkAs+fB6szv82KvA8vr77CY07IrRCb5EHQyn+LPoYrGm45PPF3QRFzoYmrL7yTnx54lV4f9gCjbqLLsb8nKDrO5zhz+i1moIP9ntaO8I+F9EdS0mhVAvVqSUqgt0G72cfSosMw6D0qCm4ufobZJQVx6QFzqhwvWmk664mpGeG3NSrU1FAZHSaKURcoygCDrpm9ZuKiVLJ19QCfHjiVCIKGOTfexIVaUPhkVOkuuNQA7wOp4bd9AxN6iH6itcufzYwDCroYU9tEXkeToVLm/Xo6Rp2Q0SNZL4+Kb820hQNGFnzZVFRx97qboIiwB/Z3rT+F6y69I94wzAeb+XNQtPGbdL2nOOPxoRlz8akX4IgQhMgiqcBJIJIckhURBCRIYmKyKmICIXXLj+4TCRRkUfRN8uRsZ2SSZeeBb1ZHgBbdvkdqFN8uCVSB4PVAlYRLdJK8WfRhWFwzluPoHzuEarVHfuqsWzMydiz+L84+NlKjZqLPsbs4FFCNlf4A2DpFkvQ9a6GprDPRXTHkJMl1ckaf9YTjgfugvu/b0JU/G4arGm49ucPYbAG/92LFpa8bNUsYvFw3YC+HhGCENFnoigGdyrSK0VF6oEDqzmEU5HTRrPEI4ApGyXV3n2VGnaSmnAjhqsccmwkPNeEnMmjpbplX3wLu8ipiOgrbQfk6Ne0sRUadtI7fLtdqhmDoYc9iUSBYVNDVCSSqmjAyDvtGKk+vPbnXvcXBQHedhu+OPEqtO2U72nzTjsW45c+NSA9EgTRR9QThkhvQBBJDv2RE0RkSDklzmaKEyGCoxTncOYQM7HjEKUYqsuRh/Az7tyTpfrAqg34+d/LNOyG0JKSmZOkWhQEtNfUa9hN8jHn9msw8lT5gVPHngN4t2QO3h9+HDzNyecQqBSqKHG4gwzQ90K6Obiww1l3OOxzEd3RmeRBkZRzKgIApwPOB+9B28Ij4V76trTalJmOK9e8M6AvXTx9glSLvBdood9pLWCswZ2KnG4PhGBCIL1CWO9Tx8WGdCqy0eerSGAKS6XaW0miolhjnCzfI3rabfDEKB6SUJNZMUSqW/bGtwhYCOLUQBDBqP95h1SnjY9fURFj0KsEKKpoKSKxEBT3drokNqJQ6qUEEhUNBNkLjoSpvERarv5gRZ+PdTU04bNjF6Fd8X6ef+bxmPDh81HtkSCIvkPxZwSRWpD1BEFEhjSixDvDH/AjUgNXqzwgog81EzsO8SgstenhjxqfR471EEXRP5uJZtKnJMVTx0p1x8EGCF5vD3sT4TD6rONx7N9ulpaddY14f9TCbrE5yYQxJ/ggfbiiIpZhYDYEH6Qnp6LIyZ44WuU+4atJQVFRF3YbnA/8GeB0MJ7+awBAwbgKXLvlY7xx3GWw1TVG/SWLJo6UF5obk/qaENeEcCqyu4NEnwFglE5FAe+VIZ2K7CTCiIjsfKn0VqbwdUojjOPke0RbFTlZakVaaZFUx72oiCdREdE3dn30DaZdfR4AIH3yGJhHlMPb2AzGoAdrNIA1GaV/GYMeIs+D4Tiwndul/br2MRqgMxnAdK0z6P37GPRgDAYweg6swQCdxQTWYoYuzf8fazKC4XRg9Hr/PtI5DWCDuBJxudmx/lYRUUIU5fvtjCMmwLGzEhAE+OxO+Drs8NkdEByuoDFWiYTq2adInzEGgnFvPSp9lrZV1eDAsq/COt5xsAGfHXspTvz6daQP8wvo806Zj4nLX8LPJ10V9X4JgugZij8jiNSCREUEERnSG6VAVtVECNytNqnWW8wJI0BROhUldWZ6P6jbvBOjzzweAFA+Zzou+PA5fPfXp1HbB9teIrnIHzNCqlsp1iJqpBXm4YzFD0jLgseL5UddkNTiAYZloc9MD7rNESxKqAfMRqNK9KLEQ86KEVMwe6pUCy3NgN3Ww96pgfPv90A3YjS4sX4XoYJxI3DDni/w9OgT0V4T3Xiy/HHyjHyx4VAPexIDSnpwEaQt1EQLlahILTxKMwUXFYk2EhVFhNkqlRR/Fnv0w4dKtY3icTXDpHCBbN5brWEnvePzyILLUPdxBAEAuz5cAYHnpZj6Wbs+17ijvmFQuJMQCYbiGWbpTZeh9KbLgu4muD0QPF6Ins5/vXznsqL2ev2D0J2f7cWuc4v+aDVGz4ExGMDqOX+t9wviwDAQee6T7QwAACAASURBVB9En8//L893/qtY5+UhuNz+PtweiLzP37sgQBQEQBT9/woCRJ/gP84n+Hvy8ij/0zXS12IsKcLYtx+F4PL4z9n5H3z+c0nn8/kAEYDPp/iaeYi8F4LbC5Hn/ZPPvD6IPh4i7389wcv7e/R6Ibg8EL28/HWJIsD7IPB8r45JIs9DdHkgeDwR/Yhjwdg3H4E+TxYXrrv1oX4J0ewHDmL5vItx4orXkNHpSJi7cA4mfbYYmxdeEa12CYLoCwKJiggilSBREUFEhnRnn9SZ0kREOFvUET2cyZgQzlbK2DaGYcBynP8DLYGV9z+LWTddBlOmf7Bm5CnzMfKU+ajbtB3f/OVJ7AyYaZNTMQQVJ8/D4e17sffzVVq0TAwQ2cPlaJE2GjCKGrP/+BuYsvwuGKIoYsXp18JWGd8DQZFiyMoIqd90eII7f4TCYgztiudOwti4WJMzRXafSMnos2B4PbDf/BtYn3wFupFjAACGNDOuWL0Ej5XNi+pL5Ywolxfqkvu6EM8woZyKQokgOVlUJAa4r4WMPyOnov5jMKniSfj98e3Qkoxwg+XB8w4SnmuGTuGEFvdORQEubpzFDN7hDLE3kers/GAFxpx9gtZthIXnYIPWLRD9RHC5geB6chVdblVA2oD3NNBwGVYUnnuy1m2EhRjOBFZR+p9feKU6llFEwfVhvIMJWFAuS+dlVGMn1R+uwP73Put7vwE4aurw6fxLsHDF68gc5Rdy5xx/NMb+51/YduEt/T4vQRDhEeBURFEXBJHkkKiIICJDetJtzLD2tB+Rwjib1K4QerMpIURF7rYO1XJGaTFak3xQvydYgwFzbr8apUdPha3uMH568R3MuOFicEZ5kKxo8hic/79nUPn1j2jasQ+rHnwB5pxMXPbdmzCm+x+q7PtyNd5f9EfYDtEDtWQgfVChVLdStEVYTLv6PBxx/UUwpFnQVn3IL8YTRRRMGIUpV5wj7Ve97Esc/Gylhp3GBn1WcJciAHCGiBMKRShREe9wQfBQRF+kZIweJtVCTXwPUMYSsekwOi49B+abb4fx3EsAAJmlRbjsuzfx6tyLovY6GYooG5FERdphDeFUFExUxDBg9Hp52e1QbQ4Zf2YjZ7V+M3y85HQiCgL46hqNG0o9dPly/JyNREWakD60VDWA2RznoiJfwD2awWohURERkv9dfjuGLjgSpiBOp7LziwhRFMEwjH+dKEIURMllReB9EHwCBJ6HwPNILy6QzuFpt8G2uwqCx++yInh5+OxOeDvs8Nrs8LbbwHfYIXh5iF4ePqcLvN0JvsMBr90B3maHz+7E9OfvRd6MSQAAwUbunonKwfseQ9kj94DRK4aSOu8zktFZrevvJtEIq2dG+t/AEqQnd0sbvr/qzxGf2nGwAZ/OvwQnfvOGJCwqOO9kNPz3Mxxe2n/BEkEQfSfAbYxERQSR5JCoiCAio6WrsORRNjgRHEdA1IzeYoKzWaNmwsDV1gHB5wPbOcs5e9jglBQVsRyH0166HxMvPl36XvTG0GNmYugxMzHpsrOgDxgoG3bcUbho+Yt4+cjzQovLGAY6gx4+d/zbF6c6ljw5UqGNBoz6TO7IoTj1+b9Ky9nDSjFk3oxu+4k+AauvjPxhUyJgzA4+QO/heXh94bnEWQzBXT/cFH0WFdJKi6VaqCGnIhVeD5wP3we2bCj0s2YD8MeETlx0Jn5+/X9ReQmzIspGrCOhhGaEE3+miD4TRRFwyYPkRj0HLtT9laMj+Hqid4bJjmq++gaIYYpTichhM2U3LxsJzzWhcM40qXZ32OFojO8P4T6v+n7PkGaBA00adUPEO552G/6RNR3540ZAFER47A7wDhc8Nif4MKOTu7jsuzdRPmc6AKB22VdYs+i2iPsUXIpnGkkcZZ3sNC5egsbFS4JuY7MyoM/LAZedCS47C4zFBNZsAms0gTUbO2sDGJMRrMkkRZqBYWRhEusfhxYFAaLHC8Hlhujx+GPU3B6ITjdEQeiMRtOD4Tgwej0YAweG04M16P3bjEawJv9/jNEARqcDo9PJr8Uy/nUMA+h0fuGpTuc/luNgHjXc309nX9UffwOd0QDWoIfOoPd/HSzrF8yz/nMyDONf13lultOp/mU4nT+qkPF/nf6eWCm+MNXgHU58e/4tcDVE5/3NWdeIz45dhFPXvQfLoAIwDIOxr/8Dqz76OiEi4Qgi0QlwKqL4M4JIclLz7oUgooeksMhQDDARhBLB41HNctFbzBp31EdEEc7mNqTl5wAAMstLejkgObl6w1IUThzVr2MDBUVdFE0ajRMfuwMfXXO3av3Ei8/AvL9cj5zhZQCAtgMHUfXNWmx562Ps/eL7PmWNMzodRp4yH5OvOAdFk0cjY3ARHIdbULv2Z6x76k2KX4sy+jSLVLeSqKjPDJnfXUAUjJ3PvQVPisR1GbKDRwk53eEPCoRyKvK0kKgoGhgVYkIfORV1RxDguONGZHzwLRir38lz8qVnRU1UpDcrRHOH6PuvCUaTSiikxOEKIl5R7hsQrxDSpQggp6IIYEorpJpcijSA48AY5N/7tl2VGjaTuuRNHSfVLfvif3JMoFORPi1BnhsQmtK4dU/UztW8e78kKkqvGBK180okoPML0TtCazvcre1IBvnypH2rYSjyO3atv+2f2PLPlwb09ZQiI4bj/NonlgVY1v8Mme0ULIWKNesUNHWJlBhOpxY6BZ6P6RRMdf7XJZBiOR10nS7soiD4JwEIouRw1tPr+x3QBP8uXcd2rgPQTWDVsXs/nPWHo/p9dBxswKrL/oQTPl8MANBZzBj37uP45Yxro/o6BEEEQSBREUGkEiQqIojIkEYyMstIVET0gAjJVVZv6WHwJM5QiooyBhX0snfyUXHqfBRMGCkt+zweVK/eCDAMckaUI6NEjr4SfD78+PjrGHnqfOSOHNrtXA1bd0Pw8CiaMgYAMOXKX2HNY6/h8Pa9AMPgrNcfwsSLT1cdk1k2CJMWnYlJi86E43ALdi//Dvu++B62Q40wZWciZ3gpWL0eDMvAmGFF7qihKD1qCswBjifWwjyMOu1YjDrtWGxf+jneX/RHeO3q6BEifFiOA8vJn5fa9tMs9L4S+J55eN0vyBo3AoLXB/v+WvAOF/a8uhS7n39bow5jjyGEU5HTE/7jWbMxuFORp6U96HoiPDiFOFioJqeiYIjtbfDt3wdu3EQAgKs1Or97pqwMaSYzAIiNh6JyXiJMrMFFkECI+LNAUZGCNFOI+2JRAJwUk9JfmOJyqfZW0XUq1hinTlZFkLTvIQGkFmSPHS7VLXEefQagm0ttV3w2QcSK9po6qTYV5ETnpMr3fRIVEXEOp3BEjYXLYFcUIbwAkkKWpR0Hv/geuxe/h4orzgEA5J56DDKOnIL2HzZq3BlBJDcUf0YQqQWJiggiMkhURPQJURTAdIq1E8apCIC7TY6dMOdm9bBncnLcg3+QBgRsdY148YhfqR605Y4ciqwhJWD1HA6u3wJ7/WEUTBgpiYp8Xh6Ht+1B9Q+bsPyG+wCWxe3tG8AZDWB1Osy4/mJ88rt7Me+u67oJigKx5GVj0iVnYNIlZ0T0NY05+wRkDSnB4tkXho5fI/pE0ZQxqgGjtgM0uN0X0grzMPPGRdKywPvwyYxfadhRfGAKEaNq74dTUWhREbl+REp6xRDV371woEq7ZuIcpUtHgCV2v8kbM1y9ojW+o2ySlhCiIkEQ4AgW3aoUFQXEOYZ0KrK3h54VTfROrix8J1FR7DFOnSLV9oMN4B3OHvYmBgqrwmm3ZW/8OxWJggCf1wudXg8AMFgtvRxBENGlo7Zeqg05wSc8hIsoyO/lTB/j5AlCC7jCfDCd118AaN60XcNuiP6w/g8PofS0Y2DKzwHDMJiw9Cl8X3y01m0RRFJD8WcEkVqQcpAgIkMSFVlys1UxOAShRHmDlUhORe52eYZ4KoqK8kYNkeqv7nhUJSgCgKZdldj7+Srs/vgb2Dvtew9v3yttP7xjH56bfAY+vvYeCDwPwePBzv99KW0vGF+B3FHDMPeu66R1rrYOLDn7eiyefQHWPPYaOg42+O2Dw0AURbRV1+Hbvz6N/5x2Db7969NwKhxKiqeOw4K/3RzWOYnulBwxQartjc3w0oBRr6QV5OKyb96AwSrPvGZ0dDsKAMb8EKIiZ/i/VxZD8PcZNzkVRUxhZyQEAIgd7RDbWjTsJr7x7d0l1WN+tRDX/vJhn6MPQ5E7cohUi+2t3QQqRGxgrMEHGh1uT9B7FqYnUVEopyIbXa8iwirft/P749+hJdkwjh0j1R0J4JCTrCidVpoT5OegdCsiURERa5Rx3ly04vdIIEwkCHmX/lqaPOJuaUP7HhJlJxru5lasveVBadlQmIfh//yjhh0RRApATkUEkVKQUxFBREYdAB86VbjpgwrQvLtK04aI+ETw+aCDf8ZLIjkVuRRORaas0FEXyciQ+TPAcvLb5O5Pvu3TcW2KB3FpCpGAwWrBRctfQtnsadK6jNJizLv7Oul1fF4ez048De2djjfV3/+Ez25+ABmDizDrpstQcco8ZA0pAcOyEHwCnM2t4N0eQBDAu71orapF7ZpNWP/CEjgamuTeP/oG3933DH67eRnyx44AAMy8cRFWP/wyOg429OO7QwBA/ng5Gk/5cyeCw3IcLvzkBeSNHqZa76o7rFFH8YUxhHAzXKciHcvCpHCIUULxZ5GTqxAT+ij6rEfcb70G/XEngeH0YBgGBeNHYtGK17HplaX44Mo7+nXO7GGl8kJrU+gdiYElPcT1Klj0GaB2KvKqnYxCOxWRs1pEGOXvKzkVxR5u2BCpbt8X/w45yYpeIWJPhPgzAODdHkl8T5PWiFijnFSmjJsliFQgf5Hsnly/cgMJ4hKUff9ehhGXnYVBC44EAJTedCmqH38NnoBJogRBRAelIyHIqYggkh4SFRFEZAgA6gEMAgBrUR6JioigCLys2k5UpyJTVrqGncQeS0GuVAs+HxyNfYtYUboZGTOsUn3Zt/9G8dRxqn1bK2sw4qS50vKG59+WBEWB5/z81gfx+a0PdtvWVwSex0tHnoc/tawDw7JgWBZFk8eQqCgCckaUSXXr/loNO0kMxl9wCgZNGy8t+1xu1H76HVZdcpuGXcUHjE4HnTG4EMjuCs+pyGoKPQDlPkyuOpGSOUYWxQnVVdo1kgD4tm6G/aarYfnzA2CL/DHBDMNg3Hkn91tUlDVEjrIRSVSkHenBnYpsfRAViR63alOaKXhco0hORf0ntxgMIw8Gk1NR7OGK5Wh0W2WNhp2kLpzVonLDbEkQcZfP7ZVqQ7ScYgiijyidsqCI+40aA3FOgogCXF4OjEPlyQv7/v2Bht0QkfLDb+/Bmb98CJ3JCEanw6SPX8S6Sadp3RZBJCUir3IiJlERQSQ5NO2AICJHUhBYi/K17IOIYwTFDVYiORV52u1SbVTM9EwF9n35gxThwep0KD1qSp+Oa1OIgjizCZa8bKBTwKOkpbIGqx58AeZseWBu9cOLo9B5aDztNvAe+UG1JT+nh72J3sgskweMWvfRgFFvDJ45SaodBxvwpnkivjnrevA2h4ZdxQehBEUA4FVbCfeKJdQAvSDC3dwa1rmI7qSVDZJqgZyKeoVfsxLtZy9QrYskKlLlVNTYXYRLxAYmhFNRh6MPTkVu9c+fnIoGgNFTpVKw2+FrbNSwmdRElyX/jXSQqEgT8qaPl2JsREFAW3ViOBTwClGHnkRFRIzhB0BUFG6UO0FoQcmfb5TeMzxtHaj+cIXGHRGR0LFnPzbf/6y0nDa+AsVX/VrDjggieRF51TNLMjEhiCSHREUEETkKUVGeln0QcYxPIeRIJKci5cCfzqjXsJPY42puhbNZHtCa8+dr+3TcoZ+2SrFxDMPglGf+giHzZ6jsw1+c8Ss8Mfw4eO3y91cUBLQNsNtN4eQx4BTihfqfdw7o6yU7aQo3qxYaMOqVbIWzU+OaTRp2En/09LCdDfOBPoPg+wseL1m4RwGTQozpI6eiPsGkWVXLW5d80u9zpZcUSrVYTw5xmpERhlORjgOjU0xYdMmCdYYJ7VQEcirqP0NlIbuXXIo0gVGI5Tqq6FqlBXkKh9iOQ40QvN4e9o4flE4x5FRExBqVUxFBpBA558kuNlXvfgqfy93D3kQisOWhl9C6bQ8A/7PZiifuAmtKnOfxBJEoBDgVkaiIIJIcEhURROSQqIjoFaWoiAs1IzsO4RUfpHty0khW1j/7llSPWDgH064+r9djfB4vNr2yVFoeffYJ3YRkbQcOgeU4TLjwVNVxA0nW0FJc9vXr0uyr9tp61G3aPqCvmewY02X3rkSJVNCSgnEVUt1Cv3sqxB7ciFgmvNt1nxD8XKzRADYFr+PRhlNcz8mpqI8Y1e+BX935aL9PZcmV3T9IVKQRDAOkZQTdZHMGERUpo89EEVDEn1mMRrBsiGucjZyK+gszeLhUU/RZ7GGzs1RCOhuJijQhd9JoqU6k+3Sv4jpqSE8tp2BCe0RBGNgXoPgzIg7JPvskcJnyve2uF5Zo2A0RLQSvF6uvvlta1pmMGL/0SQ07IojkhJyKCCK1IFERQUSOLCoqpvgzIjiJOuPQ61SIigypNxj99V2PwXG4RVo+9fm/YsEDt6hn3Adh9cMvSy5PrI7FiY/dCcEnP6C7cvXbuKlqBY743UXSOo+9/3EwvTHvnuvxf3s+hylLflDy3V+fJteSCOBMJtXvQSINVmgBy3HIGFwkLdd9vVbDbuIPwcuH3Mb1cr0JxOYKfi1hGHV0FxE+6cPLVK5zJCrqG9zk6VIt8Dw87bZ+n0sVBdNAA/WaYLGGHBS0B3MqUkafBdx3pJt7uCcmUVG/YfLla723iq5TscY0a4ZU+zwe2GsSI3Yr2cgYUS7ViXSfzitFRSkWP04kKfTMgYhzSv/2R6k+vGELDq/7RcNuiGjS8P0G7Hz+bWk5Z+EcZM6f0cMRBEGEC4mKCCK1IFERQUSOwqmIREVEcJTZ9AnlVKR4qKnTp+Z94ZJzblDN2Jt9+zW45ItXkFleEvKYjtp6fH3X49JyzvAyuFrlGI/sYaVIH1SgOmbH+19EsWuZSZeehXn3XK8aCPd5PNix7KsBeb1UYfCsiZLrUyyi6xKdQKczd1NLiD1TFFEEH0JYaDaGiAYKgd3lgtsbPLogrbQo6HqibxTMlcUxoq0DYkuzht0kDmyefH/sauu/oMiUlQFWIbIjpyKNsAZ3KQIAe7CoCL0iPjfASS1k9JnXDXiCCJSIvpEpx7OSU1HsMU6dLNUd+2oG3vmDCIrynqdlb+KIipSTehJpMhJB9AWGnIqIOCP7nJNhLB8sLW995BUNuyEGgg1/egTOukYA/mvQhHee0LgjgkguKP6MIFILEhURRORQ/BnRK8oYMb05vAFiLVHFnxn0PeyZvBz4bh3eOOEK1fdi6DEzcd2WDzHrpktDisTWPPYa2mvrpeXGbXtUdvaAPwakdf9BfPOXJ/Hhb/48IP0f/cffdHt4pzMYcPOBrzHixLkD8pqpQMmMiVLdXlM34PF1iQ4fMNDMWS0adRK/uJuDu3Kkm8P/XrXagws3MkcPC/tchEzutPFS7SOXoj4jHDoo1cYIolxKZ0+VapH3Ao3k/qEJIaLPeJ8Pbm+Q90KlU1GAqMgaSmhPLkWRYZL/zrwHEkdMkSwYRo2S6va9JOrSCmOOHJfZkkA/B+WkHr2FREVE4qMSVrIkKiLiCIMBQ5//h7TYsmUXqpZ8omFDxEDgaW3Hjzf+TVrW52Wj4qm7eziCIIhwIKcigkgtSFREEJFDoiKiV5QD6onkVOR1yA81WS68CJ5kovKrH/Bo+TFoVbjRGKxpWPjoHfj9wZU445W/Y+LFZyB31DCwnP/+OX9chWrw1HaoEU+NXIjKFWvQUlmDfV+uxrMTT8fjQ47Bt/c+NWC9MyEe3OkMBsy+45oBe91kp2CCPGCUSJEKWiH6fBAUs1eGXnCqht3EJ66GpqDrc9NDu4KEoqk9+IB81rgK6BLoPSjeyBw7XKop+qzv+Pbtlmo2AtfDkiNkMSfqD3YTqBCxgQnhVORwB3EpAsBwClG6ehZjaKcie3vw9UTvsBygcPTiq2s0bCY14QbLbqYddI+oGcrP3Il0r650KiJREZEUCHL8WW8x8gQRSyr+8yR0iuvsulseJHfBJKXqneWo+eRbabnktxfANLRUw44IInkgpyKCSC1IVEQQkSOJitIKclURQwTRBe9MUFGRk0RFXTgamvD4kGOx9ql/qx40mLIyMPmys3HWGw/h+h3LcadzM35f9z2u/fkDGDOsAPyOROuffxvtNXV4fcGleGLYArxx/OVo3LJrwPv+4Mo7Q7roROIYkerkjCiX6pZ9NGDXFw6s2iDVY2++DKdv+RiZY4b3cERqYasKHuWUlZYe9rkONgcXKDE6FgVHTQn7fIQfQ5YsphCbGjXsJLFg9NFxOiyYMFKqxbrEcZ1IOjKygq62OUPElSmdigKiGS0hRUUd/emMAICKCSqHSr46ccQUyYIuT46fs1eTo5oWZFQMUU2saN6TOEJgr0OOw9VbEsfhmCBCIfgUInB6XkrECemzZyDzpGOl5d2L38PBL77XsCNioFlz3b3w2h0AAIZlMXH5ixp3RBDJATkVEURqQXfzBBE50pNCVqeDJT9Hy16IOEXp+JNI8WfKvpkUFxV1sfyG+/D02JPRsGUXRFHstp3lOFgL1a5lNT9sQtWKNbFqUUX19z/h4cKjsOax19BapRa/rHv6TU16SgbSSwqlurWSREV94Yvb/gmfRx5Qzho3Aqdv/RgLPn2ZHjADsO8/GHS9yWCAyWAIui0UTR1tsLuCD/APWjiH3Ir6iUlxjyeEcIMiusOWyiJM0dd/d6GcYfJsUvEQCSW0grFmBl3fF1GR6FHvYzUFvxaJDhIV9Zux06WSr6mFGOrnQgwYbIYsQLUdCP7eTgwsxfOOkGpXazsch1s07CY8VJORQlwjCWKgUD7fCIxQ7zeKCVk0CZOIC1gWI5Y8K/2OO+sPY92t/+jlICLRse2vxaZ7npSW00YOxeAbLtGwI4JIDkhURBCpBd3NE0Tk2AA4uhashbk97EqkKrzigX4iORUp+2bpAZBE085KPDvhNDxcdDTWPP46mnZWgnd7uomMvA4nVj34AhYffb5Gnfpxtbbjs5sfwIFVP6nW2+oOI2/0MOiM4QkWCMCcIw+qJlKkgpYcXPcL3j7jd6rvF8MwKFk4Gxc5NuPXh1bhhK9fhzEvW8MutcNRWx9yW34IZ5CeqGo4FHS9PiMNZWefEPb5iABRUeVeDTtJLPTHnSzVbRG4dliL8+UFEhVphzW4e5othJBR5VTkcqg2WUPdE1P8Wb9hhoyRas/efdo1ksIwRnkCie1A8PdiYmDJmzZeqpt2J45LEaD+/J1Ik5GI5EAUuk+aiuY5Kf6MiAeGPPcguGz5ec7aG/8GTwtNGEkFtj32Gpo2bpOWhz90G1irRcOOCCLxCYg/YwDQmz1BJDGkHCSIyBHhdysaBgDWonzU/7xT246IuMNjV9iYJ9DDQZ9XcWMYrZlqSYSjoQmf3fQ3fNa5bLBaUDp7OgonVODAqp9Q88NGTfsLZN0z/8GEi06TZmRd8OFzAABREFC9eiM+//2DqF37s5YtJgzKv+MWcirqM3s+/Q5PjT4JR1x7AebedR0snQIindEAc1E+zEX5OHntf/H+sAUadxp7eLsDrsYWmPK7i6oKs3NQfbghrPPtPliDUSVl4II8vC+cMw0tm3egNQYRjMkCZzGDNcgxXr59uzXsJrFgc2T3vjrFQ9xwMWbJYhaxjkRFmpEehlORjlO7ErjsUskyDMyhRM0drZF0mNIwhbKjl3dfpYadpCZsbo7qd95eTaIiLcgaK8frNu+u0q6RfqCMH9eZaOIHEVsCHSVZjoOgHiyM7Jw6mqhGaItl2gTkXXSWtLz//S9QueQTDTsiYono82H11XfjlDVLwOp0YI0GTPzfs9h03KVat0YQCYvoEwJX6QD036KaIIi4hu7mCSI6SNOurUV5Pe1HpCgeuzwzO5Gcinwer1RHYn+dUVaMoQuORMXJ8zD23JMw+fKzMfmKX6Fw8pjeD04gPDYH9n76HVb/8+W4ExQBQM0PG1Hzw6Zu6xmWRdnsabjyhyUYf8GpGnSWWGSWl6gGjFr2HtCwm8RD8Hrx4xOv44nhx2HHsq+6bbcOKQGXYdWgM+1p2x7c/aY4O3wXRLfXg121oX83R1xxjsp5h+iZsrNPkN4HRY8HwoEqbRtKIHzVVVKdP3ZEv87Bchx0elnUJR6i664mMAxgCe5UZHe5u69URp+JIqAYmEwzGUPfW9potni/ySmQSr6SREWxxjhtqlQLPA/HwfAEwUR0sJYPkurmhHMqkq+lujDjbwkiUkQhYGCQi/JcZJqoRmhMxX9fkO4/Pa3t+PGG+zTuiIg1Tet/wY6n3pSWs46Ziezjj9awI4JIbIJE3JNTEUEkMeRURBDRQRYVKaMZCKITj00WFekTSFQkeGVRUX8eAM296zrMuP5iWPJzQg4ciYKA1v0HsefTlVj39L/RuHVPf9sl+sDio8/HggdvxfTfng9DmgWMjpV+NgzL4pRn7kHVN2thO0SDIKEoPWqKVHvsDtgbmjTsJnFxt9uw5MzrcPHnizFc8RCHtzvAt9s07Ew72rbvReHc6d3WW4wmFGZlo761Jazzba2uQll+Iazm7pbenMWE0TcuwrZHXiG79z5QevqxUu3btQ3gvT3sTSjhN66F8cxzAQA5FeVgDQYIHk9Y5yicPFp9H1F/MJotEn0lLSPk/aA9WPyZckA8ICI2ZPQZQPFnkaAQfXkrE0tMkQyYZ82Q6vY9B7oP0BMxwZQni6ab9ySWCFXlVKRwSCSIWBAYf8ZyLCK9iqkiz3gyLiC0Y/Dfb4ehUH5m3qVZNQAAIABJREFUv/aWB3uMICeSl413PYbyXy1EWkkhGIbBuLcexaq8Gb0fSBBEd4I7FREEkaSQUxFBRAeFUxGJiojueDrkuAcugeLPvM4gs877wBHXXYg/tqzDMX+9EWkFuT26HDEsi+yhg3HEtRfgui0f4w7nz7h6w1LMuuVysNGeGUcAAL7608P4R9Z03Kcfi/tNE/H1XY/7HQQAmLIycOrz92rcYXxTPHWcVLfsowieSElXiHF5pwufHn2hht1oS+vW3RC8wSMGyvKLwj6fIAhYt3uH9PcdiCkvG+NvuwqWweGfO9XImzVJqvlNGzTsJPHgV34NsVOExep0uOCDZ8M+R8kRE6VabGsGXI4e9iYGjBDRZ0AIpyJOISoS1AOJaaYQoiKPi0R7/cVgAnTyvbO3skq7XlIUw4TxUt26jSZKaAVnka8vTQkWf8aTqIjQkEAhZDSexzCs/CwoiJsBQcQENisDRb+TI64Ofrkae155T8OOCC3xdtix9v/ul5b1OZkY+fRftGuIIBKYIO/tNJhDEEkMiYoIIjoc6ioo/owIhlshKkokpyKvIraNYRhwFnOP+48+63jcWr8aJz99D0xZGd22824PXG0dsDc2w9EU3HFDbzKieOo4LHzkT/hjyzoMmU+zRQYSwePBd/c/g82v/09aN+q0YzHmnIUadhXf5I0eJtWtlbUadpIcmLLlQWpWz8GYn61hN9oieLxo2bwj6Lay/ELodeF/Nm9oa8GOmtBuFYbsDEy4/RoMOnEuRRL0gKWkUKr5jes07CTxENvb4PlkmbQ8YuFsnPf+U2Gdo2DCSPl89XTd1QomIyvoeo+Xh4cPIohUxJ/Bp94e0qmIos/6z/DxckyjIIA/QMLnWKMvL5Pq1hCRpsTAkjlqqGpCS6LFnykn9ej0NCZDxBYh0G2Ai9xsQOlURO5thFYMf+mfYDpFcoLXizW/+6vGHRFas3/p56j+6GtpedA158E0tFTDjggiMRG7uxCSUxFBJDEkKiKI6EDxZ0SPeB2JOePQY3eqltPyc4Lud/SfrsatDT/gvKVPIa0gV7Vtz6cr8dqxl+JedjT+ZpqAf2RNx8MFR+KfebPwUN4sLDn7emx8+b9oqz7U7bwGqwWLvnodExedGb0vigjKssv+BMdhWeh1wsO3QWc09HBE6pI1tESqyakocmrWbJJqluNw/OeLkT15jIYdaUvT+i1B13M6HUYUlwTd1hu/VO1FXUvomD5Gx6LszAWY9JcbUDBnOtgEep+KGYoBSqGS3CfCxfX0wxDq5MiyUWcch5KZk3o4Qk1uRbm80EDRZ5qRHlxU1OF0Bl3PKOPPvOrIuzRTCOdOe0e/WiMADBsrlb66eoju/jmOEv1Hlyt/VmpLsNitZKForjwhxdncCmdzq4bdhI/SqYiNgqCDIMKhm1NRFD4TMKxi6IGciggN0OVkIfPEY6TlHc+8hfZdlRp2RMQLP15/nzSZlmFZTPzoeY07IojEI4hTEd3AEkQSQ6IigogOUgiztZCciojuqB4OJtCMQ2+AqMjS6SDCGgyYetWvcdWP7+Iu71Yc9/ffdxMc7V+5Hq8deynePOkqVH29BggSv+NsasGO97/AB1fdicfK5uPJkQvx8XX3Yt+Xq6V9GJbBma8+iFFnHDcAXyGhZOnFf5BikrKG+CPpiO4or/MkKoqcL259SBVNwbAsJt51nXYNaUzz5h3wtAYfVB81uAw6NvzbdxHA99t/QXNHe4/7mQtzMeyi0zDtodsw9MLTkD1xFAxBXOdSnn44RqU6YtNhdFx5HoTDDQD87ofnvPWvPh+fUSpH9JFTkYaEcCoKJSpSORV51KKi9FDul7bEEgDEE0xphVTz1TUadpK6MBaLVHfsJVGRFuRPl2OKmxLMpQjwO/t2oXR4IYhY0D3+LAq/g8r4sxCRzAQxkAx58n5J3MY7nNh8/zMad0TEC7b9tdj0F9lBN23McAy65nwNOyKIxINERQSRWtATcYKIDpJTUVphbk/7ESkK74pfG/OsIYORN3oYCiaMhMFqAatjAYYBZzR0e5B51Q9LIIoiWI5T2corqdu8A9/c8wR2Lvsq7F6ad1eheXcV1j/7H4w772Sc9fo/oDMYwDAMfv3uY3hq1ElorSQRx0Cx97OVqN+8A0WdLjEz/m8R1jz2msZdxR/GDKtUk6goclqravDcxNNxw+7PkTHYLxwoP/sEXCLsgKO2HmuuuRu1n3yrcZcxRBRRv3I9Sk87ptsmo96AkSVl2F5dFfZpeZ8P3/yyEXPHT0JeCGFAFzqTAYVzp6Nw7nQAgODl4XO5IfI+CD6fX6UkivLAQOcAhCiKgNj3AQNWx4JRvicKInweLwS3Bz6nC552G7xtHXA3tcLd1ApHbT287bawv/Zoo3JfIfqMWH8Irmf+BcvdDwIAsocOxqgzjsPOZV/2eqwlTyFcJlGRZoSKP+tQOHKq0MtuRKJHLTxKDxF/JnaQqKi/MEVyZIO3mu5PYg2bl6dy5Gine0RNyBo7QqqbE9AtyqcUFfVDSE4QkRAoKmKiLaQnURERawwGZJ0qT1Dc+fwSuBUO3QSx7bHXMPySM5AzcRQAYMSjd6DujWUQHCEmTRAEoSYwOpU0BwSR1NAfOEFEB8mpyJydCZ1BD5/Hq2U/RJzhdcqiIlYfH7Eyo886HgseuAV5o4f1+RiWC/62IQoCdi//Dmv+9QoqV6yJSn9bl3wCn9uDc997EgzLQqfX4+LlL+Kp0SdG5fxEcD74zZ9x9br3APgHfHNGlKN5T+LN8h0oWI5TuY2RqCg68C43Prrmblz48QvSOoZhkDa4CMd+9Dy+OecGVL//hYYdxpb6r3/EoBOODhpBOLZ0CKob62Fzhf+Qy+vj8c0vG3FExRiUFxT1fkAnrJ6LG5c9b7sd9gMH0bH3AFq37IY9SHRmtOECHFVEm/bCpkTF89FSGC+6ArrhIwEAx95/Y59ERcb0NKkWG0hUpBkZ2UFXB3UqYlkwyntep121mZyKBoCcQqnkD9D9SawxHzlTqnmXG46DDRp2k7pYy4qlulnhhJko8CQqIjRE9AXGn0X5/j/ExDSCGCiKbrpK+hwr8Dy2Pfqqtg0RcYfI8/jhmrtx8vdv+Z89m4wY/96T+Pmkq7RujSASAnIqIojUgj6hEkR0qFcupFEEGhGAzyXP4NbaqYjR6XDKs/fivKVPhSUoCkTgeVSuWIPlN9yHf5XMxVunXhM1QVEXO/73Jb6++wlpOXfUUExcdGZUX4NQc2j9FtUMxczyQRp2E38UTxunculqraLB7Wix+5NvseyKO2CrP6xazzAMjl78QEhRYzLCO5yo+/rHoNs4nQ7TR4zu97l9goA1O7dizc6t8HgTTwCtz0hD1vgKlJ6xABPu/C2m/+t2VPzmXOROGw9mgH5HCuYeIf3di4IAoaGulyOIkAgC3G8ulhbzxgzv/RiWVYnaxIaDA9EZ0RsMA1gzg24KKipSRJ+Jogi4HNKyyaAHFyrWh5yK+k+6LPoiUVHsMUycINW2yhpy5NAIU578d9CcgPFnaqciEmAQsWVA4s/oWkhoSP4l50h19Ydfx2RCCpF4NK7ZhJ3PL5GWc06Yjcz5MzTsiCASiwBhEYmKCCKJSZ3RGYIYWNwAWgFkAYC1MA/t9EGFUKB0KmJYFgzLdntgEytOfe5eTL3q16p1Au+Do7kV7rYOf18i4PN4IfoEFE0ZI+239Z3l2Lj4PbTtr0VLZY3qoedAserBFzDuvJNQOMFvRXviY3fi59f/N+Cvm6pklBWrZhB21Nb3sHfqMXjWJKnuONQA3hki8oXoF5teeQ+bX3sf1uJ8TLjwNBz/0B8AAIasDBz31av4fN7FGncYOw5+tgqFc6aDS+vu5lGYnYMhBcWoauj/vcb+hjrUtzZj4pARGFJQFDLSMt7hLCbkThuH3GnjwDtcOLz2Zxz+cbN/QDdKDD5lnlQLtdWAd+Df+5IZ78oVUs3qdBh85BTU/LAx5P7Fk0erfz8dDiAtHfD5AMHn/3nQgNXAk5YBhHDNsAV7L1REnwX+fDJCuRQBJCqKBKP8ffXuq9KujxTFMKpCqtv3Jl7sVrKgU0QrNiW6U1GC3psRiYsQ6FQUxDU1Euh3mogpLAvjUDkatvKtjzVshoh3frr9EZSduQCW4gIwDIMJ7z6JVfkzez+QIAiIPh8YedIQiYoIIokhpyKCiB7StPW0wlwt+yDiEF4hKgKgWYzM5MvPUQmKPDY73jr9WtynH4tHCo/CUyMX4unRJ+HpMSfhuUmn4/mpZ8LV1iHtv/vjb7D3s5U4vGNfTARFgP/G9PNbHpSWzdkZmHnjopi8dqrBchwu/vRl6WGfq62D4r0CKJwoO8S0RlG0QMiIgoCO2nqs/udL2PrOcml94ZzpGPv7KzTsLLb4nC4c6CHybcrwkbCaehiY7wMujwdrd23DR+tWY3t1FdwJLpbhLCYUzZ+B8X/8DSbdcz0KZk9TPtjoN1nj5YFi3/YtEZ8v1RFbmuGrkQfcR552TI/7DzpiompZ/+qX0L/zI/TvrYf+/Y3g3lwF9uzLB6JVQklGVshNHY4gTkUGhahIUFuip5tDXLt4r8rRiAiD3GJVVJK3skq7XlIUrkweuOyg+2dNyB43QiVaSHSnIoqKImJNYIQJq4wx7e85BYWwmCL9iBiSdepx0r2RwPOo/Wylxh0R8YynrQNrb3xAWtbnZmHk03/RriGCSCAC4lPJyIQgkhj6AyeI6FEPYDQAWIso/oxQ4w2Ywa3T62MmyunClJ2JEx6+TVp2t9vwWPkxcLW293gc73IDmekAAGPnv7Fm35erUbliDYYeOwsAcOQtl+PHx1/XpJdkZMj8GZh54yIMP2E29Ar3gDWPvgqfJ/HikQaSnIpyqW7ZR6KigeaDK+9E8dSxyBlRDoZhMPXBW1G15BM4alIjfqph1QbkzZyEDMXvXRcGjsNRYybgy83rIUTofOdwu/Bz1V5sOVCJkpw8lOTmY/DIERg0dTwMGVZ/9JyODT27uHO9tJ1hAAYAGP8m6biuZXT9DxBF+FweuBqb0fLLTrgbmyP6WrowF+dj2MWno+Tkeaj56Bs0/rCx3242aaXFUi3UkPtENBD27oJucBkAoGjSmB737S02lsnMhu7KP4Apr4DvyXv8whQi6jDpwaPPXB4PvAGDkAAAg8LdwMerNqWHcirqaOlve8TYaVIp2O3wNTRo2ExqwuXnS3U73SNqQtFcOarE0dTS6+fceIR303sYoR3d4s+iISri5XuAaIj9CaKvZB57tFS3bt0Db7tNw26IRKDq3eWo/vhMlJ4yHwAw6JrzcOBfi+EiB0qC6BGKPyOI1IFERQQRPaSMIGshiYoINYERSTpD5A9nwmXSojNhzvHPMhdFEa8dc0mfHrR6HXLvpqyMAeuvN3584nVJVJRRWgxLQS4cDU2a9ZPoFE4eg/n3/A7DF86F3mzstr1u03asfnixBp3FN+klhVLdWlWrYSepgcdmx7u/vhFX/fgOdAYDWE6HY5Y9g4+nna11azFj378/wMS7rgPLdf9cnm1NxxEjRuPHXdui8loCw6AtxwJXnhGVbQdh+P4wsrKyYDabodPpoNPpwLKyuCjYv+HEGgiCAJ/i4QOTZwKbWwK+qRXO7XuhFxlYjEakmcwwG7pfp/qCMScTwxedgZIT56D6gxVoWv9L+OfIy5F7riX3iWggtrdJtT7N1MOegCE9rU/nZI87Eygqhe9vNwDtFKEVdazBRUV2lzvoekavEBUFuKClm0P8zG1twdcTvcIMGyfV3qrEc2dJBtgMefIFORVpQ+40+e8gEV2KgM4JPZ0wDON3dtEoNp1ITQSe908oAMAYIh82ULoXMBo5dhOpiXG4PDGnbWelhp0QicSPv/sriubPgD7NAoZlMfHjF7B29Ilat0UQ8Y3aqYhERQSRxNDdPEFED4o/I0LicahFRVrEn405+3iprv3xZxz6qW+D0B6bHENhyrRGva++svvjb+FsaYM5OxMMw+DImy/DV7c/olk/iciZrz+ECReeCoZhwbChB/63/fdTLLv8DnjtFEESiCU3W6op/iw21G3ajpV/ew7z7/0/AEDOlLEY+/srsO2R1BC9ueoPo+bDr1F21nFBtw8pLIbT48bPVXsjep20IYORNrhQFZ/j8XjQoJHbhZhrgutwC9p/3gqIIgwch2xrOnKsGSjMykFeZhZ0YUQomApyUHHVrzDohKOx/73P0b5zX5+P5ayyq4pQS7MUo4HokQdNOVPPoqKsISVS7d21C82XXARwBsDAQZdfiJyXXgKb4Rc9s+OngXl0CYQN3/sjtwQh+L++rmVF7fMBvBeizwt4vX53Hd4L8DzA6gCOA3Sc9C/D6gAd69/Gdv4rfYFdrliivNxl08UwihoBy4zs7KWsldsYdN8Xim3BzoUQ25QiwCB9yJsZIDsXot0GuNX3tKFEReBCi4qsoURF7eRU1G9KhkklT6Ki2MOygMLRo4PuETUhe7T8d9CUBKIiADBlWBPScYmILgzLImvoYGQMLoI5JxM6gx56swl6iwl6ixl6iwkMy+Lwjn048P1PaK8+1O/XEnwC2M7HVVFxKlJOINBR/BkRO7gcObrXFSU3XCL5se2vxaa7n8ARj/wJAJA2cigG33AJap58Q+POCCJ+UboSgkRFBJHUkKiIIKKH7FRUXKBlH0QcwjsC489if/kdfORkqd64+L0+H+du75BqLZ2KBJ7H3s9WYfz5pwAAKk6eR6KiMFjw4K2YdMkZIbc3bNmFXR9+jV/e+hgNv+yMYWeJhSFNFhe0VtGAUaxY9Y8XMeGi05A7cmhnDNrvsefl/8KTIoMsBz9biYyRQ5A1bkTQ7WNKh8Dl9WBXf1x0dCxypoxVRR924bE74emwQfD6IIoCREERH8YwknBCWit2zk4S/Y548kbRv2vX/ooYMoZloLeYYc7JhF4hNGBYFuaCXBizM9G8aTs8ThfqW1tQ39qC7TX7wbIs8tIzUZKbjyEFRTD0cdAjrawYY2++FK1bdmP/e5/Deahn0ZQhJwusIqrBR/FnUUFslcUjGYMLe9gTyCwfJNX83j0Q6qVbbgiVlaifNQP5H38Cbqh/MJkpKoXulPOj3DEBAGJ9LYSfvlets7tcwXdW/E2KHvU+aSGEZKKdnIr6C5NbJNXeA+SSE2sME8arnPpIVKQNaWXy+0UyOBUB/vhxEhWlLpllgzDr5ssw+fKzYQojiv7wjn3Y+/kq7PtiNRq27Ia7ww6v3QFRECCKAKtjwZlNsORmIaO0GAXjK1AwbgQsBbngjLIomI2Cw7bSqQhhTAggiEhh0yxS7W3r6GFPglCz7fHXMezi05E7ZSwAYPhDt+HgK+9BsNHES4IIhqh2KiLNAUEkMfQHThDRQ3IqspJTEREAHzDgokWWvHJQtHl3361/Xa1y7rhRQ6ciAKhcsUYSFeVUlPeyN6Fk1o2Luq1r2VeNrUs+wcZXlqJ5d1Xsm0owDFaLanZlCw0YxQyf24N3z70Jv1n7bmcMGodJ91yPdTc/oHVrMWPP4vcw8c/XwpAdXNw5ZdhIcDodth2o6vM5WaMBuVPHqdzzBEGAve4wOg41wGt3Rtp2n2nZCxisaUgrzIW1KE96z2L1HHKmjUPLpu3gFQ/xBEFAQ1sLGtpasLlyNwbnFaC8oAhFWTlg+zBgkTW+ApnjKtC4+ifUfPh1SIFa4ZzpUi16PRAb6oLuR4QHv/VnqU4vzgfLcRDUs9skssplpyJ+z57uOzgcaDxmPrJffgXGY48NK4KPCBNL9/vA4E5FDMApBiLd6mtJSKciGw2c95tM+fMnv5/Ej7HGNEN+r3DWHwZPbp+aYMqTXSkS9bNNN6eizHSQ3DL14ExGLPj77zHj+oukKLJwyBs9DHmjh2Hm/3V/BhAWUYjeUzoVZS6cj+m2XYAo+gcgBcG/XRD8kw5E0T8hobOW1gkiRFGQ13t5eA81wLFlBxoXvw3Hxq0R90kkH0pRXOBET4LoCdHnw+qr78Ypa5aA1enAGg2Y+MFz2HRshNdUgkhSRN6nXCSnIoJIYkhURBDRQ3YqKsrTsg8iThFFURroYrnY31/xLrfkRGHKzuzzcc7mVqnW0qkIAGrXyoOQnMmoYSfxSWZ5Cc597wkYM6xY/dBL+Omld8FZzFj05auq79dH19yNqm/XoSmM+B8CKJk5SfobFnw+tFeTuCCW1G/ege3vf4nx550MAMibNbmXI5IL3u7AzufexrhbrwgZoTmhfDiMnAEb9+3q/YQMg5wpY1XncrV1oHlXFbxObR66emx2eGx2tFcfQtawUlgL/IPkLMsiZ/IYNG/aAd5m73acIIo40FiPA431MBuMGFNajuFFJb2KixgGKDh6KvJmTkLdVz+gdvl38AUM5uVOHy+/zsHaqAyuEAC/4UeIXg8YvQEMy2LyZWfhp5feDbqv0qnIu317yHO2XHk5zGedDfP554MxmgCW9QtBWTmijGG7ltnO6DIWDCOvY3TqSDNp/65BLEHwx6QJgrwsip2xagG/G1KMWdf/FANlQIBzl3Jb8P1C7qNw/pLPFbiv2jlMHqhTnkOxj2IdW1QEbpAs7ArE7g4iKuI4VZQiXLLAgtOxMIRy7HTQLPJ+Y0qTSnIqij3G8WOlun0Pibq0Qqf4vNOcoD8Hn1sdF2nM0HZSDxF70gpyceHHL2CQ4h4U8L/Hiz4BPq+3818ePq8XPrcXPrcHrJ5DenE+dFFwF+rCURP5511vh3zvziiiVyOdaGcsK4F15hQUXHkBBKcL9k1b0fSf/6HxjfcAj6f3ExDJj+J3TAwxeYEgQtG0/hfseOpNjO2coJk1bwZyTpyL5k+/07gzgog/Aq6xpDkgiCSG/sAJInpIn7bTCklURPRMf2abRYrjcAsyy/yiIuWs/95wNsmiImMYltsDQcdBOaaGYRhYi/Jhq2vUsKP4geU4/HbzBzB1ukmd+sJ9WPjYndCbjaqBvf0r12PDC0u0ajOhGXTEBKlur6kL6apBDBwdigfbOVPGIK28BPb9tRp2FFvs+2ux64V3MOq6CxHKjGVkSSmsZjPW7toGt9cb8lyZ4ypUgw62usNo2l2lEihohc/jRdOOfeAdLmQN8b9fMSyLnMmjQwqLunB63Php7y7sqDmAcWVDMaSgqFdxEcvpMGjhbOQfPRXV73+Jhu83SNuyxsuRcwJFn0UPuw385p+gnz4LADD23JOCiorSCnJVsXjezZt6PK3z/aVwvr80ur2mONbrr0f6rbf5F4JceDocQRzN9HJ0iiiKfiFWJ6GizwAAdhIV9QuDSTVwxpOoKOZww4dJdfteeq/QguyJo1VOdU0J6lQEAF6nS3rvM2ak9bI3kUxY8rKxaMVrKBhXIa3zeXns/N+XWP5/9/fp2UfZ7OmYevW5GDJ/JjJKCtQi3wDEToG0u92O9gMH0XrgEEaeOl/6W+rp2L6y75WlKD37BBjzsiM+VyhYswnpR05D+pHTUP74vfDUHELbV6vQ8NwbcP6yY8Bel4hvlMI1Qe2iQRB94qc/P4bys49HWmkxGIbBuP88gpV5M2miEUEEEOBURJoDgkhi6A+cIKKHNNJpykwHZzaB12imPxH/sLrYZ8k7m9uQWeaf7Z8xuKjPx9kbmqTalKWtqEjwqkUcWjg+xStnvPJ3SVAE+EVXhjSzap/GbXuw9KJbY91a0qB8uNtK0WeasHv5dzjy91cAAHRGA87a8wVWXvR77H9nucadxY7WX3ai8t8fYNglp4fcZ1BOHk6YMgPrdm1HXWtzt+1cmgVGRYyavbEZTbv6HosZK9oOHIQoCMgeVgrAP7CRPXl0tyi0YDjcLqzbvR07avZjwpDhKM0r6PX19FYLhl1yOvJmTcLeV9+Hu6kF6SPkqE2hZn9kXxChwvfTWklUVDhpdNB9lC5FoihCqE0dEWG8IPYiNLS7gnzeMciiIojqh+5pPTlNklNR/xg9RRoAFn0+eCn+LOZwg4qlmkRF2lA8V46gszc2w92WuNcT3uWWREWGdBIVpQoGaxouWv6S6jNnw5ZdePnoC+Bpt/VwpJoDq9bjwKr10jLLcbAU5MCckwWW04FlGfAeHu72DtgONnabKHO3b7vsJhQFUVHTmk1YVjoP5pJC6ExG6Mwm6EwGuTYbwXQ6HDKs38mIUbhNdtXSOoaBPj0N1uFlyJ89DdbOzwldMCwLY1kJCi4/DwWXnwfB6YJz2y40f/AFGl58E0KIyGMiCVE8dxVJVET0A95mx5rr78OCZc8AALisDIx68X7svPIOjTsjiPhCGXUK0hwQRFJDf+AEET0alAvWwjy0VtGgMxEcLcQwHYcaUTR5DAAgs6y4l71lbPUKUZHGTkWBkWceykUHALAGA8ZfcGrI7T6vFz+9+C5W3PkoXPQQrd9kKx5YtlbRwLYWVH71Aza99j4mX3oWAP+1dO7bj+I7IKWERQ3fbwBYBkMvPC2kY5HFaMK8CVOwt64Wm/ftgdcnDxikV5RLA9A+jxdNu6pi0HX/aK+pgygCOcP9f38syyJ78hg0b9wGnz2IQ0oAHU4HVm//BbnpmZg8bATyMrJ6PSajohwT77oOe19dCkuxLEbyHajq99dBdIf/eaNUWwtycc5b/8IXf3gIYBmUz52BkhkTMGLhHPmAHpy3iAHEpxAFBVxwRFGELdgkCr3ifk39gBEZFjOC4rQBPnIA7BcVchwoX1NLsS8aoMvOkeqOveQUpQV5U8dJdXMCuxQBflFRF0YSFaUELMfh1+8+roo82//dOrw67+KIzy3wPGwHG2A72ND7zvCnoErv9myIDxph4nO5YRsgwWX6yKEYdPJcDDp5HvLnHQGdUtgMv4tR2rSJSJs2EYP/cgu89Y1w7akCo9OBNejBcBzavvkBNbf/fUD6IzREcQ/L0IREop9Uf/AV9i/9HOVnnwAAKL70LNQ++QZsm0KYKkNlAAAgAElEQVTHchNEqkFORQSROtAfOEFEDy+AJgC5AJBWmEuiIkKNKEYtP74/OJvbpNqc2/ugahf2hsNSbcyw9rDnwGNRWGaLoghXc2sPe6cOo89cILlf+bxePDHsOOSMKEdm+SC42zpQu+4XdNTWa9xl4pNeUijV5FSkHcsuvx2NW/dgwQM3g+U4MAyDOf95BC2bd6B9Z/y57QwUDSvXw+dwYcSVv/LP6g3B8KISDMrJw9b9ldhXVwsRfkeeLtqqDwXOKoo7OmrrwLBA9lBZWJQzeSyaN26Fr4/i0qaONny1eQMG5+Zj4tARSDdbetxfZzJg5G/Ph17h0CdUV/X7ayC6w69bDV/1fuhK/W5Q488/BePPPyXk/ozBgPwvV6D56t/At29vrNokhNBORXaXG0IwJyODQlTEq8VgVnOI+LOOtuDriV5hhshOX969+7RrJIVhFL/XbXvI1U4LskbLEXRNuxP7Z8C7ZGGgwUqiolTg1Bf+ihEnykLqQxu3RUVQ1C8U7+vRcCoaaDp2VWLnrkrsfOw1cNY0FB47C8UnzkHxiXNgHTpYtS/DMDAUFcBQpHYwtUwaC/fufWhcTDHxyYTyMy65nBOR8OMN96H4uKNgyLCCYVlM/uo1rC6eDYGE/AQBABDVrod0wSWIJIZERQQRXerQKSqyFuVp3AoRz+j0/suvzqDHsOOPRtnsacgaOhh6swnuDjv2froSOz9cEVXbdqUAJ5wYM1eL7GzDmYx+YVQvURgDhUkR1yP6KMMaALKHl+HMV+RZdfU/70R7TR3aa+p6OIroD+acTKkmpyINEUWs/udLaN5dhV+/+zhYjgOr02HeO4/jw0mhI8GSkaYNW+C1OTDyt+eDM4eOFDIbjJheMRqjB5fhAO9Ei9EIb6fri72xezxaPNJeXQeAQXbn4ACrY5EzZSyaN2yFTzGjvzdqmhpR29SIYcUlGFc2FGZD6O8bY9CrBlOEA4k9SBl3+Hz4f/bOO86JMv/jnynp2d53WXpvgoIKKijYe+8F9Sznne30PMvv7vQsd6dnubOXs58FLKCiooAFlKIoICCdBbawy/bdbNrMPL8/kp3MZJNlS7KzSb7v1wv2mZLJd5PNzOR5Ps/n03bvHXD++yVwzq7dl4jDhyPvy8VouPlGeD/5JM4FEgDAFI3oMMypKKJLEQDOpHEJ8Os729NsUZyKWkko3lO4wpCTon9X6ohr+wum0SNV9z8AaO7H7n/JjEPjxNuwPbEj6LRORWZn5yJoIvE55m83Y/KV56jLTXsq8cKUczp5RN+RCKIiLVKrCxUfLUHFR0sABFyMCo+bjsLjj0TBMYfB1Inzl2PqJBIVJRla5ww+zMGKILpDW2UNfrjtHzjixQcAAKasDBz83dv4cWr/OFcThNGQUxFBpA70ASeI2FINYBwAOAvzDC6F6G8wxlQbadFqwZTfXoyj7/09HPk5HfadeMlpkH0+bPtsGVY/+QZ2LVnR6+d3a8RB3XEc0jocAYHapSiDSPHG7Ah1qir93FmjLxg4YyouX/yqKlIDgDXPU0dYvDBpIlsayKnIcDbPX4zv//UyjrzzWgCAc1jpAR6RnDRv2YkN/3gBI645H44BBZ3u67TZMfv442EdUIBt27bhp5WrofgSJ1KqeW8VOJ5D5qASAAAvCMg+ZBzqfvilW78HA7CjqgJl1VUYUzoYo0oGQozgIGgvylcHipksQakiMWGskdetQctlZ8Jy5fUwzZgNPjMQIcQ8bsi7d4E1NoAvKgFfPACcGLjWcYKArP88hbqaWvhXrzSy/NRAJyTXi4pa3FEiCDWiIubT3zOmRYk/Yy0kKuoxmaHvnf6dZcbVkaJYDz9MbXvqGuBtINctI7BoJp/UJ7hblFZUZHJEEWISScHB15yPGX++QV32NDbjmQmnAYqBE6g0l31OSCxRUTgtW3ehZesubHv6f+DNJuQffRiKT54Jc3YGFK8PRSceBfuAQgCByQREcqF1zuDp/SV6ybaX5qFo1uEYetGpAIC0Q8aj6DfnoeqleQZXRhDGEzbxmzQHBJHE0AecIGKLag3iLOgoFCFSHE3nzJxv3jzg7oLZjNFnzMboM2ajYvV6LL7zUZR91feDZ211+kEek91mmKgI0RN+Ug5eFHHJpy/qBEUrHn0ZP70418CqkhdrdqYaMQeQU1F/wVUdimfsLKIn2fFU12LDP17AwLOOQ9Hswzvd11aYC9FkwtixY5Hl5VDcKKGithr76uvQ1NqC/v4qNu2uBMfzyCgNOBLwgoCcQ8aj9odfwi2XD4isKNiweyfKqqswZcRoFAQFLe1YC0Kuk6zNBdORR8P/zeLe/xKEDmXvbrj/dhfcHAcuvxDwesGaGvRiFtEEy8VzYL3hNnCiCI7nkfX006iZeohxhacKTNNBaLODn31G0LGIg2vl90BNE1BbrY850zoVedt0h4saf9ZKQoweYwtNFvCXJbaYIhGxTBivtpsT3CEnkRGsIefBxt2VBlbSe8ipKDUYftIMnPLsveqy5PHiuUlnwtfcalxRSYzi82PfF8ux74vl6rqZC18IiYpMJDpJOjQTERNdIEf0D767+h5kjR+BrAmjAAAjnrgHVa9+CHSzH4Igko2wvjjSHBBEEkMfcIKILSFRETkVER2IPFTLGENLZQ3qtuyCt7kFuaOHIWfkYJ3VdMmhE3HF0tewcd7nWHzHI2gs675LimgJDfBI3q47OnjCnIpMdivcdd1++pigaOw0OS61FUazHroVZs3M1cV3/gvf/fNFAytKbkqnT1Lbst+PlopqA6shVDTnAdFpx+ALTkbZu58aWJBxMEnC7nmfoX7trxh2xZmw5mZ12Ie3mHWDbs17q5DhcCLD4cTYQcMgyTKaXC1odrnQ3OZCm8cNr98HSVagMAWKooAFhR4seE1jLNQGY91Kx+Q4gOd5cEHFqMwUSLIM5QCzsxt3lYPjeaSXBJyZeJOInIPHonb1+q4/uYZWjxtf//Izxg4cjPEDh6rXF0tOproPa22FeMRMKA11kNf/3KPnIQ4AY2DVVZG3SX54X38RrLkZ9v97EADA5+aCz8uDsn9/HxaZejBPKL6M4zhAExnoYhz43EKwrBywhrrACUEQwWmdv9whURHPcXBYo0QOklNRzzBbAc3rLe0qM66WFMU0YpjaJlGRMVjzc3TfnZt2J7b4X9Kcd7VOvUTyUDxlAs6b+wT44PlbkWW8evRl/eNvV9PNYlDqfZ+h+DVONiQqSjqY5jslF8GVliC6i+z2YMVv78PJy98CAAh2G8a++Qg2XXirwZURhLGExZ/RCZcgkhgSFRFEbFFFRY7C3M72I1IQRVGgnRvDGEPt5p14/8I/oHr9Zt2+vNmM6bddicNvnQNHXsg5Ydx5J2LU6bPw/cMv4et7n9R9ST4QvBi6p2PdiA5TJCkQ3RYcZDVFia3oC9wa1yTelNqXsGHHHaG2N89fTIKiOFN8SGgWetOeqm599oj4se3Tb3HcI3eAFwRwHIej3n4M+TMPxeob7jW6NMNo2VaG9X97GiUnzUDRcUfozv0ZY4er53LZ50er1ukJgCgIyEnPRE56JoxEVhR4fF60edxobnOhoaUFtU0NaPOGXPIaduwBL/CqiFuwWuAYWAzXnp67E2zaU4aG1hZMHz0BoiDAlO5Qt7HWFgCA+cQz4KmsAKut6fHzED3H99E8VVTEcRyEwUNIVBRnvJ9/CvbAA7oB+3ba2gKCIU4wgcst7LCdMQb4Q4PjDqsluii8lURFPWLExFBMo6LAv5fiWfsasaREbTdvKzOukBSmYNpktS37fGipSuzrgtYVmOLPko/iqRNw6aL/wuwM3GcyxvD+hbeiYtU6gyuLQJKrihR/aLIdZ07t/qWkRBPHo/1OTBC9oea7NdjxxgIMu+wMAED+eSeh+n8fo+7jpQZXRhDGEeZURCpdgkhiyPuRIGKLal1B8WdEOFVrNgEIdBqVr1yHZyecimfGntxBUAQAis+H5X9/Hv/Kn4YFV98Dr8YCW7SYMePPN+CC+U/DltPRiSIasmYWlmiLMks8Gpq+JLOBHZvaDmKO45AxqKSTvZMbu0ZsJvv8cBbm0eyrOJI3JjQLvXEXDdj1F+q27MSiWx6CEhRKchyH0b+9CCcufxuIMACeKig+P/YuWIK1f/43apb/BBaMhksbMkDdp7miGuin4jiB5+Gw2pCXmY1hxaWYMmosTjz0CBw/ZRomDh2JdHsg6qduaxk8TS3q4xwDi8CJvRsQqKqvwzcbfoYkyxA1MU3toiKIAsynn6NzySL6EEUB08RsZdx7b0p/1vsC5vfDPf9DeFetCvxb8T08y5fBs3wZWvbsUd3LIj9Yv81hjRJ9BlD8WU8ZPlFtShWVgM/Xyc5EPBCyQ9/HmnfsNbCS1CX34LFqu3F3ZcILIfxaUZGBE3qI2GLNTMe0P1yJK7/9H2xZGQACfUNL73kcm95bZHB1UUjwz9KBYJo+Moo/Sz6Y5p6I1zi3E0Rv+fGOR+CpbQAQ6IMa89o/Da6IIIyFnIoIInUgGT5BxBaKPyOi8vL0CzDugpNR+eMGNOzoujX+2pffw9pXP8Cpz96LyVedq86wGXXaLPzu10/xxW3/wPo3Pzpgh0/99t1qu7t/n0yRwfGBS4Y5zXGAveNHa1UN3A1NaifcmHOOx8rHXjGsHiPxt7nV9rjzT8K480+Ct8WFbQu/xtL/e6Jbf2PEgckcWqq2G8v6gS09obL6qTexf9N2nPPO46qzW/4RB+OcXUvwySFnwxvs7ElFfA1N2PnmApR/8hUKZkzF8KvPU7c1l+/r5JH9E6fNjuEldgwvKUVjazPK9lWhYsde5E8aHYhR43lkjhuOhnUdxbrdoba5Cd9v/gWjhAtCK10hcS9fWAzx4EMhrVnVq+cheoayexeEYSMBAKZx45G76AvUHneswVUlL3xmFpjHA2nH9g7bGn/+CX7RBKG0FJzFDIADb9MMgPs8uv3t1igDOn4fIHU9mpcIwQ0cobalPXTvZwSc5m++aesuAytJXTLHhz4HDTsTX9glub1q22TvRIxJdJnsEYORM2IQbDmZEIOueRzPg+M5cIKgtvlgmxcF8CYRvChCMInqsmA2Q7CYIFrM4HgeiiRDkSQokgxO4APbTSIEswmC2aQey56XjfzxI9S4MyAgKPruny9i+d+fN/CViURION+pcDgJUEhUlNQovtC9pUCiIiKGuPftx/I5d+LYTwLnb1NmOoqvvxiVz71lcGUEYQxhoiLSHBBEEkMfcIKILRpREcWfER3Z+O6nPXugouCT6/6CpX/+N367boEqCnLkZeOs1x/Gwb85D+9f9Ae0VEaPY/G73FG3HfDpJRl80P3BYqCoCAAqf9ygRn8dfssVKSsqWvHoKzjl2Xt1MSKWNAfGX3gKhsyehsdKZujsvInekVYUEuKRU1H/Y9fSlXjp0PNw0cfPIn98QGzgGFiM8yqWYe29T2JDv+us71t8jc1wV9fqbN+b91YZWFHvyXSmY9LwdIzyelBnEbFf9kBRFJjSnRBsVshuz4EP0glVjQ1YsXIljjzySAAAa3Pptoszj4X06wYgbD0RfzwvPwP7fY+AEwODP6YRIyFOmAjpl/UGV5ac8FmR4xD9kgSP3w/4/ZC2blHXm8aMBZ+WFljwtOke44zmVORujbyeOCBcQUj07C/b3cmeRDwwjR6tuxdv3kbvgRGka8X/OxP/Pl0bfyZau+kwTKhkDRuIo+65HkNnT0PGwGKjy9HBFAVf3PZPrHziVaNL6ZyUEhXREEmywbwhpyISFRGxpnzh16j6ahWKjjkMADDgxktJVESkLGHxZ+RURBBJDHnFE0RsUePPTHabmpFOELGiraYOj5cejV8//FI3a2zQjKm4ds0HGHz0YVEfmzEo1JEmebxR94uErJnhY0l3duuxsWbN8++q7YzSIsx64FYDqzGONc+/g2/+9jR8EcRijrxsZA7qXx2niY416I4FkFNRf6WxrBz/nX4hti9apq7jzSYc/NAfcP7+lcgYN9zA6oxn1A0Xq+26rbvw6e/+hg3vfobazTt18ZiJhs1ixUBmxVmnnY7hw4eD4zikjxzc6+OanHZs2rQJZWVlAADWphdHcFYrTIdO7/XzEN3Hv+gTNJ9+jG6d9eSTDaom+eGzIkfttniiCPe0M/39+igupy2KqKilsSelEQCQna82pT2J79CSaNiOnKa23fvr4W2gGD8jsBeHPgf1SeDWqo0/63ZsOQHBbMKpz92HG7cuwuQrz+lXgiKmKKhevwVPjT6p3wqKdAm/qSQq6mWEMtH/ULTxZ2ZyoiJiz7aX31fb9lFDADqPECkKkxXtIn0QCCKJoQ84QcSWWgAKgoI9Z2Eu6rfTDHYitiiShLln/x4lhx2E89/7D9IHFAIIRJpdvuRVbF34NRq2hzpTGWMw2ayYcOnp6rrWThyNIiF5fWjvzjRaVPTrB1+g6udNKJo8FgBw5N3XoW5bGda99qGhdRnB2lc+QN6YYRh95rEQNJ0kTXur0EBuOjHFpOnQp9e2/+JrceHtU6/H0ffdiCP+dI0aMWDNzcJpPy/A4pN+g31LVhhcpTEUzg4NfG7/fBk8jc0o+2olyr5aCY7nkT6gEOmlRUgfUIC0ojzYc7NgzUzXuRv1VxS/BHdZFWbNmoWJEydixYoVaNiwDZDlAz84CqagK993332HkpxsQOl4LPGQw+Bf8S3g7Z5Ql+g94kEH65bl3eQOEi+4zMiiIlcUURHXiagozW5DREhU1HMc6WrTvzvxxRSJhmXSQWq7aQtFnxmFOTP0OdBGficq2vgzwUzuGt3BnObARR8/h8EzD+2wTfb5IXm8ATE9Y2DBf1CCbUUJrZdlKJICJsuQJTmwLMuQvX7IPh8krw9MVoIRaQJ4UQzs6/NDCu6j+PzqYz1NLSj7ahU2L1gCKEqEyvsnyR5/pnVWIKei5IPpRGP9/zstkXjsXbAYit8P3hSIu8w9czZq31tkdFkE0ecwfVICqTgJIomhO2aCiC0ygBoAhUC7qCjxO7WI/knFqnV4vHQmznztn5h42RngOA4cz2PUabM6fRxjDN8+9Fy3nkvyhAaFjBYVgTG8f9FtuGb1PFjSneA4Dme88ncwxrD+9fnG1tZHHHnXdZh6w8VIKynQRS4AQNOeSrx79o1gvRhMJ/SkDygEx4fMHcmpqH+jSBKW3vM4Ns79DCc+cbfq4MabRBy36GV8e+Et2J1iHT281aqbxb/982W67UxR0LSnEk17Kjs8VjCbwIticNBEDMxe5rjAuUfzE4B+WxdgjEHxS4FBHI4DL4oQrWZY0hywZWcirTgfWUNLkT6g4IDHqv11B4oOHofc3FycdtppGGxxYul7C9Dcw3gy0WEHALhcLqxZsQKTI+1ksUAcPxnSmpU9eg6iB/A87Pc9AvNJZ6irmKLA/elCA4tKbvj09IjrW6O5Xmo+/8yv3yfNFllUxFpJVNRjzCH3J4lERX2OacQwtU2iImPgrVbwGjFA3dYy44qJETqnIors6TK8yYSLP3keg2ZMVdcpkox1r8/HqiffQPXaXw2sjuiPkFNRkqN5f3kTjXETscff4kLjxu3InjQGAJB9zDQSFREpCfORqIggUgW6YyaI2FONoKjIUZBrcClEKjD/ij9hx6LlOP3lhw7Y6cgYwy//+xib5n7WreeQNLPRzU57j+qMJXVbduK9C2/FhfOfhmA2g+M4nPnK3+FrdWPzB8n9Be7qlfMw4LCJHdYrkoQ1L8zFkrsehbe51YDKkpcB00NyAr/bg9aq7jl9EcZQvW4zXjvmckz7w5U4/tE7AQCcwGPG3H9j48Mv4ac7/2VwhX3H8CvPVoU+kteH3d/80OXHyj6/LgLTCMxpDuSNHY6BRxyMnCjRZrLXh4ade5E7aggAYPQRh8G8cx92VVdhw+6dcPu65yYkaNzJNqxbizGlhbBGcAsQJpKoqC+xXHaNXlDEGFoefQRobjawquSGz8iIuL7NG8GpiOP1uSkUfxZfCkp1Ik5yKup7xJJQrFJTEohZEpHCow5RPwdMUdCwM/FjAHVORRYal+kqsx64RScoqt++B89PPgO+1rZOHkV0SnIbFemcbCDw0XckEhJF45zBkxMVESeat+9WRUXWISUGV0MQxqAV6QIgRTxBJDF0R0UQsWcfgIOAgFMRQfQFv7z1MX794EtM/+NVGHbCUTC3x0toxnW8LS4se/A57Fi0LPJBOkFqCw0cmRxRoiv6mO2ffYu559yE89//T0BYxPM4b+4T+N9Jv8HOL78zury4UDBpTAdBkaumDutem481L7xLzmhxoujgcWq7kaLPEo4Vj70CV009znjloaDTDodxd/wGkseL9fc+aXR5fcKQi09V27u//QH+NreB1XQfX4sLFavWoWLVOtiyMzFk1uEYfPShHaLZGnbsUUVFot0Gk9OBoVwxBuYVYEvFHmzaWwali5ETvCZS0t/Whl/LKzB56JCO+xUVg0vPAGtu6sVvSHQJnoflojnqouJyoenOP8Hz8UfG1ZQCcGlpEde7IsT+cTab3qlMCg3mmAQB5mgDOq30+ekRo0MxgEpLC5S6egOLSU0EjeiuactOAytJXQqPCH0OGssqIHt9neydGMjagXCBInu6QuGkMZh++1Xqcv32PXhy1AkJFTXWL0n2+DPN30dXnVaJxEHrnEGiIiJeSK5Q3wpvtXSyJ0EkL2HxZyQqIogkhu6oCCL27GtvOAvzjKyDSDEkjwff3v8Mvr3/mZgf26cRFZn7iagIALZ+8hXev+g2nDv3CfCCAF7gccmnL+CFqecmpb15yVS9oOitU67Fji++gyJJUR5BxIK8MaFoiwYSFSUk699cAHdDE85+8xFYM9PBcRwO+vPvUPHJV6j7cYPR5cWd7Mlj1faORcsNrKT3uOsbsem9z7Fz8fcYccrRGHjEweD4wCBAc0U1/G4vTDYLOI5DztQJqP56FURBwLiBQ1Cam4/lm9ajxX3gGes6i3yvF1sa6yKKigCAHzYS8s9dd38iegaXlg4+N3Rv3XjjjfAuXWxgRSkAz4NzRo69bYskKrKH7hGZ5NcNRjpsnXSyu8hpqidwQ0Lndn8ZCcv7HKsV0FwryKnIGHI09zi1SRJBp4tkIveULnHojZepcdWSz4cXDzuPBEXEAdGKisDTZy3R4a1WZJ55PLJPPwGOKRNhHlAU2mYm1zciTmjFlyROJFIUxUeiIoJIFUhURBCxp7q94SzIMbIOgogZWlcLk9NhYCUd+fWDL7Dgyrtw1usPAwB4UcRVy97C46Uz4WlMrkGqtOLQYGr99t3Y9uk3BlaTOmQOGaC2G5MgUiFV2bbwa7w681Jcvy7gasLxHCb/43YsPnaOsYXFmYwxw3QOc9s/775bXX/E09iMX/73EXZ++R1Gn3UciiaPARQFDTt2I3/8SACAc3BJ6KYMQLrdgdkHHYIl69YcUFjEaQYWmM+LVrcHtc3NyE1P77CvMGAgiYr6ANbUCKV2vyosynj4Ybg/WgDOaoX/xx/hnv8hDSDGGC49PWrneCSnIt6qEZ5L+thEu6UTUVEbxbb2iJKQ0NFfRtFnfY1t+uGqs4Uiy2jeQe+BEWSMGqy26zYnh1uUIslqm5yKDkzOyCE46Ioz1eW1L38AT33qxWrac7NgzcqAYDFDNIvgTSbwogCmMDBFgSLLgKJAURigMIDnwPNcQEDMcWCyDG9L2P0xn9wD5EwhMUAiY5swGtnnnoK0ow6DbfQwCBnpUR2nBHKQIeKEImscz+iaTaQojERFBJEykKiIIGKP6lTkoPgzIknwtYQGe/qTU1E7699YAGtGGk568s8AALPTjhs2LsQTQ2ZD8SW+BX47k68+T20ny0zcREArECWnosSmfodeFOarS/4Bh1G/u0RtN5fvw/6N2wysJva4auqw5vl3kDW0FGPPPRH2vGxVVCRYzLAW5sKzr1bd32IyY8b4SVj00ypIshzxmJwoqu5HQEBUBABV9Y0RRUV8SWksfyWiE3wfvQfrVb8FAAi5uXBedXVgw8WXIOPhR+BduhQNt/8BaE4uUbFR8FlZUbe5PB1FRbBaQ+0wUZEj2mCOpw1QIn8Wic7hckIz8KU9JGjpa6zTDlXbLTv2hM/QJfoIe1G+2t7/6w4DK4kdkub8Gh71SnRk0pyzVPGV7PNj0W3/MLiivuc3q+aheOqEmEd4Jf0Auc6piERF/R5RRMENlyNvzvmwDh8MTuz6sBYjd28iTjBNnwK5CxKpCjkVEUTqQFc6gog9FH9GJB3aGWumfigqAoDVT72JH555S11OK87HTdu/gNlpN7Cq2JExqATpAwrU5fVvLDCwmtTCkpGmthvIqSihOfT3IYENYwxbnn2rk72Tg5KTZqjtRI8+64yGnXvx3cMv4tsHnkVbbYO6PueQ8R32dVptGDcwcpQZAJjSQ3FPTFGAYAdJdVNTxP257BzARP0mfYHnv09D2rIp4jZOFGE9/ngU/rQWztv/2MeVJSfRREUenw9SBCEQZ9Z8Dvx6UbdDKzjS0tbS4/pSnvTQ+yPtofuTvsY8NhS71URif8Mwab7r7d+UfKKipBd19BLRasHB15yvLm/77BtIGpflVMBZnB8XQREAMH9yCzG08WfxeP2IGMDzyLv+Moz7YSGmNGzCwH/cDdvo4VEFRbLPh9qVa/HrI/9F/dpfQ+s9yTPZkOhfMHIqIghyKiKIFIKciggi9lD8GZF0+Jo1TkX9WKTz+c0PIq2kAKPPmA0AyCgtwq17v8HTY05G6779BlfXO0qnT1Y7unyuNmyc+5nBFaUIPA/BbFIXG8mpKKGZfPW5art21XpUf73awGr6AJ6Hc1CJupgs0Wedse/nTVj5xGuY9cAtAABbUWSB9/CiAdi4Z1dEtyJTWug6x3w+AIFohNpO3G+4jEyw2ppeVE50Ca8HrVdfAMuFV8B01NAjPJ8AACAASURBVCzAYgHHceCHjVQHFzhRRNrvb4RlxkzUnX6qwQUnNnxmZFFRa4ToMwBAJ6KiNFsUUVFrZLEe0QWsoUhiP4mK+hxTaSget6WswsBKUpesiaN1caW1SeJU5Hd71DY5FXXOQZefCXtu4FrFGMPnNz9kcEV9jyM/Jy6CmP3L16Bx/ZaYH7c/oY8/o3nX/QazGQXXXoLcS8+GbdzIToUarr1VqFu1DnWr1qP2+5/R8NNGyEFh5pEfPIXsSWMAAJKr8+hrgugpOhcsns4jRGoS5lREeZMEkcSQqIggYo8qKnIUUPwZkRx4GkOzyM2O/isqUiQJ711wCy6c/wyGn3gUAMCamY7r13+EJwYeA8njOcAR+i/aGatmhx2O/By4qms7eQQRC4omjdZ10lL8WeLCm0zIGTFYXV5331PGFdNHDL7gZNWCW5Fl7Fz8vcEV9Q3r31igiop4QUD6qKFo3rJTt48oCMjPyEJlfcfzqGjXOPL5QufeVrcHiqKAj9BZyKVnkKior/C44X31OXhffU5dxeUVwHLZb2A57xJwQdco88SJyHz+BTRed61RlSY8fGZmxPWt7sguELpBn3BRkT2K02VL8sdQxgVeBDSvt7SX7k/6GrG4WG03bNxuYCWpy4ATjlDbrdW1cNcnx/lE0jhqUJRKdHhRxFH3XK8u79+4DU27U0/gJ1r0hgDznJOh+Pxgsqw68XA8D3Bc8CcAjgMYA1jQrYcxcIIA3mwCbzYBPA9fXUOEZ0sytE5FFH9mKGJ+DgpvuhpZZ54Iy+ABOsGoFtnnw74vvsOeuZ+hevEKuKuif/+y5ocm+nr2p8DfM2EIeqciumYTqQkjURFBpAwkKiKI2KN+oxEtZljSnfBqXF4IIhFxN4RmkfdnpyIAkL0+vH3a9Tjtxfsxac7ZAABHXjauX7cAT406weDqes7OL78DUxS1c+WyL1/GBxffjpoNWw2uLLkpOWyS2nbtr4evxWVgNURvsGgirQCgYf1mgyrpO4Zecrrarli1Dp7G6E47yUTTnkrs+moVhhxzGAAgc/yIDqIiAMhJS48oKhKsmj4Qn96RxS/LsEQSFVH8maGw/dXwPPYgfO+/DcdDT0AYFYglss4+NjBjVDNoRHQdPiuKqMgTxalI89lgfv0+zihORcxFTkU9YuBwnehZqqw68GM4DjCZwIkiOJMJnNkEiGIoQoSx4A8WHGxm6qAzFAWMKYHPEmOBY2nR7MuU9v0CP5kcXI7gDJfIcM6QU1R9krt59FfyDw/dp+9PImGXpHUqIteDqBx193XIGBgQ9zHG8PG1fzG4ImMIF19EcmRpFxexTs7DTFGg+P1ACn3d1cafdbiuEXHHOnYECm+5BpnHzYDYieOWIkmoXrwCe+Z+hr0ffgl/F7/TWjXpAW2VNPmDiA+K5rxK8WdEqqJ4dROKSFREEEkMiYoIIvbUAZABCEDArYhERUSio5312d9FRUCg02HBVXfDZLdh3PknAQByRg7G1Svm4r/Tzje4up7haw1Eno2/8BQAQMGEUbjmh/cwf86d2PjupwZXl7wUHDRKbVP0WWITHh/BpOQa3IxE9uQxarss2aPewlj36geqqMiSkwnObAqfPQVLFCEQr4k8ZGExT5Isw2IyhT8EiLSO6HOU3TvRetv1SF/wFThBACeKsJ15FtwfvG90aQkJl54Rcb3L29H5kUtL1w8GiSbAHhJzOotKgfAYH8aArAJg5EGB2BGOC/5E5OVwGENAxRJc5vmQe4/Svo2F9ou0DsGaOS5sQFG7PuLLEAXN47Q/1fXa+sMa2rpY+7JGxCOIgddVEMFNnaUeRmltRdoF54IzBbZzZhM40QSYAoIhzmwOiIf6w0AHYyHRkaIEBrjbhUoMAFNCoiZVnBQa+OU4DuCD7xXP6963joORYe9h+3bGoLS6oLS0QGlqhtLQAKm6BlJlJZTaui79GpZDp+idLEnkbwhZY4er7Zpfkuc90DrURnPrSHWm3341jr7vJnW5fmsZylf8bGBFxkEOOz2HREV9T9rsI1B4wxVIO+JQ8GmOqEIi2etD9ZIVKJ+/GHs/+LJHzlnmzHS1TaIiIl7o+pXIqYhIUUhURBCpA4mKCCL2KAD2AygEAvnm9dvKDC2IIHpLW21iiYoAAIzhw8vvgLMwF4NmTAUADDj8INyw6VM8M/Zkg4vrGR9edgeKp0xA9vCBAADRasG57zwOf5sHWz9eanB1yUnOyMFqu2HnXuMKIXqN9r1kjMFT07WBw0TGppmdWb5irYGV9D2b3v8CJz/9F5idgc7q3Cnjsf97/WCTEGWgjtMKH3zhoqIojjckKuo3sH2VkDeuhzhxMgAg/b6/kaioh0SLP3NFiJMVckPnG8YUcI7QQI7VYoGpZHDkJ5lwODBiYq/qTEW4UZPVttLqgnnMaAOr6QYcFxA3BQVORg3h8mlpQFFhh/XM64VUXQO5ugbyvmpINdWQ91VDadQ7atmPmam2W3aVw09OlobgKClQ29W/JI9blN+tufdINqEDx0G0WiBaLeAFHhwf/Bds84IA3iRCMJvUfyabFaLNAku6EwUTRmLs+SfpIo1lnx9vnnSNcb+TwXCRRLdE11BYqE0CvvjA88i99GzkzTkf9snjwVuiu7v6GppQufAblM9fjKpFyyG19u7aKmr6LjuLSSOI3qB1gCMhMJGqkKiIIFIHEhURRHyoQVBU5NQM6BFEotJWG5oVZLLbwPG8flZXP0X2+vDOGTdgzjdvomBiwHEmb8ww/HbjQjw77hSDq+s+iiThyRHHYeZff4+j771RXX/y038hUVGcyCgtVtvkVJTYjD5jttr21Sd/3E7h7Gk6V4rylaklKvK72rBx3ueYfOU5AIC04YM6ioqiuHZoOwM7OBUpkR2uOBIV9Su8rz0P8dHnAATEA1kvvISGa39jcFWJBedwRBXLtUYQFUHU7KsdpAPgdHQiSPf7om8jomMPibbkpuS/pvUVnMUC08BSmAaW6tYznw9ydQ2kfdWQ6+pgPXqGus1dU4fiWYdD9vmh+PyQXG5465vgbWiCHC0qkOg1vCjqBoyTyqnIHeEc288onDwWw44/AvnjRyJ9QAHSivNhzcqAyWYJGq4xcHxARBgQC4UERLFE9kt4+ciL0LgrhSd/kFNRj2EsdL8SzTGH6D6804H8G65A7gWnwTpyaKdOia49lSifvxgVC5ag5tsfwSQpdnWYQwImcioi4gXTTDrqF66gBGEAjERFBJEykKiIIOJDdXvDUZBrZB0EERNcYY4eJocNvgSZketpbMZrs67A7379FI68bABA/tjhuOjj5/H2adcZXF3PEG1W3XJGaREu/Og5vHP69QZVlLzY87LUNjkVJS627Ewcct0F6nLVkhUGVtM3jLv9arVd/csWnTg0VVj36oeqqEiwWmDJzYJX8zqIfMdOP8Fm1Q0qsDCnIn+02DwSFfUr/N8shrx9C4ThAUGx9fjjkfftcuw/6UTARbHEXSGaSxEAuCIIJXTCujDxndMeRVTEGCDHbvAopbDa1Ga4iw4RezizGWLpAIilAwAA5mHD1G2C1YIhwbjlDigMflcbmCQHxRWB2DZe4AFeI7LgQvszRQn+C0bFtUfGBYUa7fFwjDH9IHj4gDjTi/uiocbNaR7TLgrR7RPhmK27K7H1FWOc4ApnTlV/f6YoqNmwzZA64oEu/ozjwJvNUHzGCzAdBbk4/JYrMP6iU5A5qMTQWhhjaN23H28cfzX2U/ygSiJM/OpXdPE8SRwYc2kRCm+9FpmnzIZ5QFGnIq2GdZsDQqL5i9Gw9te41GMtztdFA7r2VMXleQhC8Ye+y3DhUc8EkSKQUxFBpA4kKiKI+BASFeVnG1kHQcQEV3WtbtnsdCSMqAgA3HUNWPfah5iuGWQfeerROOW5+7Dw+r8aWFnPGHvOCR3WjTrtGJw399+Yd/7NBlSUvJg17goN5FSUsAw74UiYnQ4Agc72H259yOCK4k/h0Yeq7U3zFhlYiXHsXvYjGnbuRdbQUnAch5ypE1H52TfqdkHoOFvelO5U20yWgbDZslGdikQSFfU3XPfcCueTL4PPD0QciQMHInfuXNSekpgRqH0Nl5kVcb0ky3BHchcSNV0LYYOaTocj8pNI/p6WR2heb6W52cBCUhPeFhJ1+Ro7ef15Dqa0KH//UfbneAEcEmNQysjYtwEnhtyi6rfvhr/NbVgtsUYKE25aM9PQZmBsr6MgF0fdfR0OufYCiNb4jxOFRGyB/5iiQJEVKJIMT2Mz9v38K7594BlUrFoX91oSAZ6cimIDvYzdxnHIQSi4+SqkHzMdYnZmVCGRIsvY/+2PqFiwBOULlsBVFv9+lZypoWhd2euDO6xPkyBihdZdsLN4P4JIZkhURBCpA4mKCCI+qL6qTnIqIpIAX2ubbjasJc2B1gSb6CP7Og5cHXLtBeA4Dp9c9xcDKuo5zqLI55Wx552Ik578Mz678f4+rig5Mac7wWlEB+RUlLgMPXa62vZU18Gd5Pbno264GIJm0GfDOwsNrMZAGMO61+ercZH2knzdZi7C6IHoCA0UM2//jx8hoqPs2IqWy85C+mffqXEr4pixBleVOPDZkUVFEaPPAEBr9x/uVBQt/oyiz3qGaALHhe5PlJYWA4tJUUyhrjRfI73+RpB/+EFqe9+6LQZWEnv87jBRUYYxoiJOEDDt1jmYee/vdRMtgIDwx9fiQs2Gbajfvhv123ejuXwfPI0tYAoDJwhgsgxFlqD4ZSiSBNkvQfFL8Da3wN3QDMnjgyJJUCQ5+E/qIEolugcj553uQa9Xt8k4ZTYKrr8MzsMPhtBJvK3kakPVouUon78YlQu/ga++sQ+rBLImjVbbrj2V9F4TcUPrhCw4O4l8JogkhkRFBJE6kKiIIOKD6lRkJ6ciIllgTLXVNyfgFyVtznU7HMfh4GvOh9/txaJbHjSgqq5jz83C0ffeiOEnz9R16n54+R045v6bVQv6qb+7BNsXLcO2T742qNLkoXTaZFVIp8gymvfuM7gioqcUHTJObduK8jD1iXvwQz//zPcYnsfkh/6gLu5auhL128qMq8dgtKIiXhCQPnoYmjfvAAAorON1QbSHREWIEDXCcx3djQCKm+ivsLr98M1/F5azLwost5CjS1fhsyKLilxRREVen0+N52FtrYAvtJ8sy6hv0A8m8TwPrqUBcLWB4zgwxoLpTiz4D2DQtKMMBnEcp6Y+KQqDHPwstq9vFw+qyxynWacfYwpUEGzrop8iPnVEwutsP2Znx2ivP7xWtR1cL8kyZEWBnJENpawMkiRB8vvRvHUrJEmGpAS2KwpT24HHMMjaZcYgyTIURQmsa3/NdDV1fP14jovqQsCFHqjbl+cCR+B5Xv3JB9dDsx+nPqemjY7vme5vItgOvdbR34v2vy8AEHgedrMZNrMFdosFWQ4HMuz2TqNadL9reppuX18TiYqMIGPUELVdHaf4HKMIdyqyZDij7Bk/iqdMwGkv3o/CSWN06xVZxrZPv8WSux+j2LF+SFfPYwTRZUQReVech9wrzoV94ljw5ujurJ6aOlR8tBTlC5agevH3kCPE5fYVaaOHqu3W3ZWG1UEkP5LGKZETEsNpkiBijaI/35OoiCCSGBIVEUR8UEVF5FREJAtMUdSZ/okoKlLk0Kz5ttoGKJIEZ2EeOI7DYTddhua9VVjx6MsGVhgd0W7DTTsWw5Ku71De+/1PWP/GApSvWIsbNi2EYDKB4zhMu/VKEhXFAK0QpWlPVWD2LJGQ/Pr+Fyg8KDRbcfSNl+Lnux/TdQAlC9NfehDmjDR1efnfnzewGuNp3FWOmg1bkT9+JAAg/8iD4d63H/7G5ogiBa1lOfN27Ajnow3WRIlFI4ynPf4MAKQdOwysJLHgMzIjrm+JIiraum0bmtpjuLxuQHPfxRiLGIHGWpuA1qbeF5tq5BSC31MPAFA8Hni3JJdLixGIgoAshwOZDgcy7cGfDgecVmvHfQtD5xTZ69XFXhB9hzUndI6q+OEXAyuJPUwOuPbwwZhDq+a+Lt5Y0p045m8349AbL1W/+wOBvoDNC5Zg/pw74Wtu7bN6iAOjSCFhu/Y9I7oLCbLa4dOdKPzdHGSffxqsw4fo3JvDadlWhvL5S1A+fzHqVq7tNxMtnIMHqG0SFRHxRNG64nfyWSGIZIbp0yEoB5AgkhgSFRFEfFBzVRwFOUbWQRAxQ5EV8MGrRiKKirRORd4WF/530jW4avlbsOdmgeM4HPfIHXDtr8f61+cbWGVkDv3dxR0ERdXrt+C9C24FANRv341N8z7HhItPAwCY0zoO3BHdp2DCSLXduKvcwEqI3rLsoeeQPqAAh1x7AYBAh3vh7Gko/3ipwZXFlqFXnIVhc85Slze9vwg7F39vYEX9g80LlqiiIl4QMOjcE1D99WpUre4YJcKbNV+PfBFERXw0URFZ6vdXlL271bZp0mTY51yJtjffAEgo2il8RkbE9ZGdiriQ3Q7Q4fNgMUfpV5TpPegJnCUkdGFeipCLBZIsY39zM/Y3693MTIKAzKCTUZbDiQyHHRncCFhra8HzPNqqa9HQ2gyO4yHwPERBgEU0gaeB/bhSPOtwnXiiYvV6A6uJD5LHC7MzcE8S/j0wXow89Ric+sLfkFakj4ut3bIT/zvpWjTuoijo/giL4LxJdA2KiwthLi1C4a3XIvPUY2EuKezU9apu9XqUz1+M8vmL0fxr/xTs24ry1LaLREVEPKHzCEHoxXUkKiKIpIZERQQRH9SMHGdhXmf7EUTCoPglIOjgkIiiIllzg8sLPOq27MRbp1yLy5e+BrMjEHlw5it/h6u6DjsWLTOw0o44wzp2P7n+r1j3+nzdzOj9G7er7cJJo2HNzoQnSm79lN9ejEOuPR+WdCeay6ux97s1UCLEw8UKpihQJAmyX4Ls80MJ/mxfln2+wDqvD4rCwIs8eEGEYBLACQJ4QQCiDM5Y0hxQZBmSx6vr+OK0A/+auCKe5yDarBCt5tD+wWNzwSgO0WKGyW7D6DNnq48bMutwnPXGI+AEPhDhwfPgBB4cz4HjBXVZMIngxVDdvBjcxnPBn+HtwDI4Tr8tuBxYz0Vcbo8YCV+nrtf8ToFFDuAAyePDgjl/wqb3FsXmDU4AmCxj39rNoWXG0Lhhm4EVxZ6DH/4jxt1+tfre+1pd+PzmJI146ybVazej8sdfUDxlAoCAsKho9jS4irPhdNdBcrkBRYEiy4HzTTscB87uCHUUMgYhLR2cMw3BnKbAQA4DYLcDVlvAnUWRdS4thLF4F8yD+fzLwAmB83HGvfch/a/3Bt5XRQnFuwazsJjPB3nXTjT99S/w//ij0eUbBhdNVBTBwYuz2/V/85oBTp7nYTJFicogUVHPMIUc5SM5qhGxwx9BbGSBAn7dWgBA2779aNpapnsMB8BmscJqMsNsMsEkiuCDEX9KMN5PYYoa6xeIZmNq3BvAgefb49+CwW+aaLjAYmB7tMi+9n26Aqdx59DG7oXvpd2usj/yd414M+is49R27ead8CZhBJ3k8cHsDEwUifeEkcwhA3DC43dj9Bmzdeslrw9f3P5P/PDUm3F9fqJ3sHBhe3i2JxEd7esUbeJAEmOfPA6Ft1yD9FlHQMzOjHrdUPx+1Hy9OiAkWrAE7orqiPv1J8zZofvY1t0VBlZCJDu6czBFUBIpCjkVEUTqQKIigogP6jQIS5oD5jQHfC0uI+shiF4j+0M3iO0dnImE7AvN5OZNgctfxer1mHvOTbjoo2cgmM3geB4Xf/Icnh57Cuq3lRlUaUckTTbxvnWbseb5dzrss/3zZZj1YMC5SDCZcM3qeXhy+HG6fXizGTes/wg5o4ao67KGlmLQjClxqjy5mHjp6UaXEBPMDhuOffiOlBIVAcCU6y9U23KbB61JMtu6+ISjcNgzf0Xa0FJ1nezz4f2Lb0dLAnT49gWcwKNqzUYwhaHk0InqesFqhmNAYdTHCQMGdlhnOeYEmHM6ulBaTj6jwzomSQHRiiwBsgwmyyHRUWA0WRUnASHhElOUwH7tj5OkQFsKrFOPE9yuimICv60+vUFRwNofGxQ7MVkCtEJSRQ4sK7LmuTX7K0rg92j/x0Jtpi4HBTqKHPydOzuWDPj9YF5P4KfPB/j9gOSHUl8HuNs6eTe7j7J9C9x//wtsd9+vOluoIswIglVOFMGPG4+cee+j6Y+3wf3eezGtJyEQRXAR4soAwOWJICpyOMC1BAf1wwYyLZZO+hRJVNQzxJBIi0RFfQ+niUTzN3f8js8AtHk9aPMmfyyavdWHLAOeN/+wg9R2skWftePXTB6xxHBCjznNgexhAyHarEgvKcDos47F2HNPgKBxlGOMYdfSlXj3zBvga43tNZkg+hOKFBJEp0p0XMaJR6Pgt5fDOe0QCJ306/lbXaj6bBnK5y9G5affwN/YHHXf/ohoD12ryamIiCfehlCUMx9tIgVBJDlhTkX0QSCIJIZERQQRH/YD8CN4EU0fUIjafmoJSxBdRfKERDmJGK+ldyoKOVHsWLQM86+4E+e8/Vhgmyji8iWv4YmBM/u8xmiI2k7eKBn1VT9txIpHX8a0264CAGQPG4iLP30Rb518TWAHnsfvNi5E9vCOg+RE6pGKVu9NeypRMHEUAEB02HDG5s/A5KAoQlagKEpgWQqIP5gqmIjsAsCLInizGYLFBC7oQACGgGtAUDCi7h5pORyOA5MktJXvQ8vOvWirrIGnpg6emjq4q/ajraIaUmsbwPMomDEFw+acjaJjp8NenK+bVeptcWHu2b+n2DMN7ef8fT9vgqumHiWHHwRHbhaUKOfTTo/VjQEHTmz/qhU4h9O8xa6hVJZD+mk1pF9+hlJZAfh8YJI/GFfGAu5zfLszGw/wPLj2dTyv2R7YBp4Ha6yHb96bsFxweZfr4DgOGQ/+He7581MuKi1a9BkQ2amIt1kBVVSk/1xFjT4DyNGrp4ihbhwSFfUtnM0KTvM9wtecfA45iUDasND3mX0/bzKwkvihnVRijlH82aAZU3HRJ8/D0sl3eU9TCz64+DZs+/SbmDwnEX/aJ0yppOD3vJ7C/Jr7O16IvmMiw/PIvfw85M05D/ZJY8F3cl/mqalD+YIlqJi/GPuWrICSoBGrYrpTd61uJVEREUdad5WrbU7gYR02EJ4dewysiCD6HtZRVMQBoBsSgkhCSFREEPFBQcCtaBAApJcUkKiISHhkzaBFosefaTsYAGDDOwuRMbAYx/7zdgBARmkhjn34j1h8xyO9ek7RbkPptElIKymAxWkHY0DDzr1orqhG3dYyKL4Dd9JYM9Mx8bKQQ07z3n1R911856MomjIeg2ceCgAYcdIM/KFiGda9Ph8jTztGJyiq+OEX2HOzkDVkgLrOV9cAd0VNT37VTuF4LhA7E4wF0/7kRQEQBPAmMfC+cFzAhUNRwBQWakf4KmLOzlBnFPra3PBrZtJ2EM1oltuj1xCMnNBuZyxg7y15fZC9Psh+KTCDkTEoshyoKSg20bbBGBRJDvyTZTBJhiJJUGQlKFAJ7Ks7hm69oluntItaguvDt6vH0m4PPqa9rX2MIiuY/serMfKUowEA7tqG2L3BCULrvlrdcsaooQZV0nPa/16jWdPv/f4nzL/iTtRv392XZfV7OCEkBGqp2IfN7+9D5uABqBdl+NrcEEQB4Hh91GAUuiMqInoGXzwA5uIBMJ96ttGlgLNYYDvvfLjffsvoUvoULjMz6ra2SCIWS2g2eAenomiDVwoJinpEu5guiOIiF5G+RCgo0C0rfvo7NgJLZpra3vfzrwZWEj90oiJHbL57T7zsjKiCIkWS8ONz7+CzG++PyXMRfYegERUpKSaC7i3a14sTkkf+zzsdKPj9HOScfxqsI4bqvguF07JjD8o//BLl85egbsXPUSexJRI5UyeobUWW4SqP3odGEL2lraIanv31sOZlAwDyzz0Re/75gsFVEUTfEuZUBASERYmpTCUIolNIVEQQ8aMCQVFRWknBAXYliP6P363t2LQZWEnPkDSzrHix4yy07x55CcNOPApDjjkMADDt1jlY/o8X4alv7PJz8KKIEx6/C6PPOg7OglxwAh918J8xBtnvh6+lDW219WjdVwt3fRMEkwkmuxWO/GxkDh4Ak8OmO8bub3+I+vyKJGHeeTfjmh/eQ+agEgBAWnE+jrzzWt1+u5auxFunXAvJ48VflM3q8X+45I+oWbSsy7+v0Zy8fyUsuYHQhUU3P4ifXppncEX9m8NvnaO2wwU2qUAydJBGO5/Ubd2FFY+9ip9emhcQ4hE6eLHjV57GsnLs2VeJqm2dDUaGosTaX/tf/DY4bDZ1mzUjDWPOPh5A4Lz+/OSzIJhFCEEXK8FshmASIQbbvEkMxm0GxEscBzWCKyBoCogwBVGAYDFrHmOCYBIDbZNJt9wOUzQRaowFjifwAVctUQRvEsALATFnQFzLAHDgBSGwn8AHahIEcDwPXgwut//jEBRfhQRYaK+5/XfQbQu2tfuGPUaNIUP0v2/DSUHxC58RWVTk8fkgRXg9OK1wqKuiIjpX9QyL/r6QeZI/Yqs/IaSn6ZYLpk2CIsuQ3V7IHi8kT+Cn7PFC8UkBgbnfDxaMnOTABZ3UNG2ElgNuhwg5HAKaz1RoW7Rpv9qzaLJODS44copO/Ltv3WYDq4kfsjc0OGOK0XdvISyOUvL64Kquxca5n2PZg8/Ck2DxRkQA7X1uMnzf6VN0J8p+eh/aRUwlhSi65TfIPP14mAcUdXpfXb9mA8o/XIzy+YvRtHFbH1bZN2RrREVt5fsCUdIEEUfq121G8bHTAQBpB481uBqC6HtYR1GRGSQqIoikhERFBBE/Ktob6SQqIpIAyR0atEh0pyI+0kwtxrDw+r/it798FBjEFUVc/f3beHr0SV06/rATjsL57/+nyzNJOY6DaDZDzDHDObZOdgAAIABJREFUnpOJ3C64ptRt3YUfnuncLaFtfz1enn4hzn7rUdWxSHeMbWV49+zfQ/J4ccLjd+s6m9wJNINLsNtUQREQiH8jOsdZkKO2m/dWGViJMWQMLNYtL3vwWXCCoBFUCCEBhtAurNB0xoZ1zDJFgezxQfb5ochymGhCI5DQCCkCi6F2+OC7YDEjY2ARHAU5sGVlwJzmgCXNEdE5p3bzTuz+ZjW2fLQU2xctJzFRJ5js1ojrpQO+ZkwdbFBdohQFiiYqQdsGgOp1yemY0CfwPG7Y8AnyxgxTVzG/P+jMovncaN6XwCKL/jN8HdDBoa7DcSQJzO8H8/ngW74M7nff7f3vlmDwWVkR17dEE7CYTKFzXlfjzxQa4OkR1tB9puLzAzSA3Kcwrw/MZtNdl3lBAO+0w5SA34/aiXZeZB0W9NsL8/Nxyv+eVZ0zmcZFM3xd+z1WwKlUBNoFpwAUSYbs8cJb3wRvfRPaKqpRt/ZX7P3sWzRu2q57zhFXnKm2a7fsgqehKUavQv9COyFGtFpifvydS1bgjWPnxPy4RN8j+zWOzOSo2T2057wE1BTZDhqLolt+g/TZR0LMyYoqJFIkCTXf/IDy+YtRsWAJ2pK8LyBD812Cos+IvkD7d2YZUGhgJQRhDBGSGDrJQCcIIpEhURFBxI+QqIhuKIkkwOdyq21TjCzY+xJd/FmUzra6rbuw4tFXcORd1wEAckcNxfGP3YUv/vD3To9dMGkMLv7k+YgOSIosw9PQDMnrAy/wsOdmRXTN6Axviwub3vscS+56TCfuikZLZQ1enz0HY889AaNOn4XBRx+GtOJ87Fv7KxbecB9OeOwujD3vRJ39vWtXOVo37+xWXUZiKy1S24wxVK/famA1iYGzMFdtN2hy31MBZ3E+hh43XV3+6cW5WPp/TxhYUTfgOJjsNljSnbCkO8EUBa1V++FrdRldWcIQTezpk7o/ccokmvQraPAmdiiK7lrd+uKLaHmQYliMgM/Ojri+NYqoSBcrq4Q5FVmiORWRqKgncNqoOV+EKDoirkgVFbBkRxbdJTJaIbRu/QEex5tMMf1e6NTc3w+/9HQc9q8/oW7dZmx66k1sf2MBZK8PRTOnqvvs/mZ1zJ67v6G9HorRzqMEAUDxha6n3e1nSHX0kemJoSrKOH4m8m+4HGnTp0BwRo4zBADJ1Yaqz5ehfP4SVC78Gr4kFWBGQtSIfH2NLQZWQqQK/uZWtS0koLM/QfSWKE5FBEEkIfRtgyDihyoqovgzIhnwtbap7UR3KupsBt9Xf30Sg44+FKXTJgMADrvpMqx87BU0d+Lic8nCF3SCog3vLMQv//sYtZt3omlPpe65AcBktyFraCkyB5cgY1AxMgeVwFGYC2tGGmS/H/42D7xNLajZsA2VP25A9fotUPwdbtA7hckyNr77KTa++6n6O5/473tw1Xdvd5jB5m9x4YcLb00opxP7oJDrjCLJUMjS+oA4C/PUdv32PQZW0vec/cYj4IOD3n63B8seet7giroBY/C72uB3taG1qsboahIS0Rq5P8Mvde+cJ/A8hLDrh87NKlmzZvqQjIGhAWVp6xYDK0ltoomKWtrcEdfrxHVddCpKpHuOfoUp5FjCOs4IJeKM0uqCVF0NsSD0/d6zpxLgefB2GwSLGZwp4MajOhUmMX3x++UcNBpHvfgADrn/Zqz5vyeQNniAum33N9FjoRMdWetUZIu9UxGRPEhevcCU43mKQesq4a6V/ZScy85G/pUXwj55PPhORIbe2gZUfLQUez/8EtWLv4fsSU3xsWALCbBT9TUg+pgEOZcQRLwId/AGiYoIImkhURFBxA+NqCjfyDoIIib4WkKuGKYEnHmh7ZjtTFSk+P348NI/4rcbPoHJZgUvCLhg/tN4cco5Efc/+JoLkFYc+ox/fvODWPWf1zutxd/mRs2GrajZ0HfuOgzA1Bsu7tD5X/3Fcmy47Z9o7mEt9kElGPvgrcg95jD4ahuw+7/vYcdTb8Y9jsOuGXj2u9o62ZMAAEtGmi46YX9YlESyM+Dwg9T2in+9jMay1HJqSnWixYb4uylGNEWY/a0/p1JnYm8wpzlgy8pQl/2/rDewmtQmevxZR1ERZ7HoPwdaUREHWC1RBsPJqahnmEJuaRFs5ok+QNpbDiEnB1zwmmAuykfTyrURB5Q4ngdvtagiIyYrgc+IwsCCP9U2QzA+lQd4LhgPxgfjHxHcGPipClo5rmO8o3qcLgp+NPvpHsOFNTocjkPdhl1Y/9/PAUEAbxLAmUzgBD4grBIE8CYREEVwAg8mSVB8UiBCTpJ0gw+82QQxMw2WonyYi/JgHzkEzgkjdbP97YV5OOqlB3UVlKWKU1GM4s+SXeSWqshhA3mcKID5SFTUbfrZxyPz9ONRePPVcEyZCN5kirpf665ylH/4JcrnL0bt9z+TaBuAoIm+lrvg9E0QvUZzfWUkMCJSEUWBIklax8ToFy6CIBIaEhURRPxQRyzTyamISAK0oqLEdyrqvMeoYedeLH/oeRxz/80AgOJDxuOiT17AvHNvgqSJ/iieOgEnP/1ndblyzYYDCoqMomjSaJ2YqmLe59jy9+fR9POmXh13ylv/Qs70gwEAtuJ8TPz3PXAMH4j1Nz3Qq+MeCNvAkFNRW13qWHn3FK1LEWMM9TtSy6lI1MxW3LxgiYGVEEagff+1SN0UNYhCBFGR5rxK/Ye9I3NQidpmjEHaSrGWhiAI4NLSIm5yRZjtzTmcoYV2QUMQi8kMPpqQm0RFPUPQ9M92tJkHAIiCAIHnIPICeJ4PLHNccD0PgQ9sF9q38Ty44GgqC76B7QMigbeUgTEGxgCFRR+oZsHHMcagBPdnTFGPoTAGRVHAACiKEtgn2AYAhemfu31fxhgYmFojxwVaXNAJKOJdfQShTPsar98PTzcdQHW/p1+Cf1cZzCOGAwB4kwjn+BFo/aXjOYspCuRoDl/Rjo/EEQN4XT7ULlgZt+Nnn3AUhj9yBxzjR0QUxIw4eSbWvfZhB1fYZEDSnG/FaOLMbqL9Dqx0062R6L+EOxp3NoGK6N+kHXkoiv50A9KOmAq+EzFhw8+bUD5/Mco/XIzGX8jZMxzRHhKkSq7uXYMJoidohdIcxVASKQrz+YHQ3z/ZbBJEkkJXOYKIH6pTkbMwD7zJ1O34IoLoT3g0WeRmR2KLisAduKPt+3/9F5OuOgdZQwIW+yNPmYk7m9egYccetNU1wlmYi6yhpWoHN1MUfPb7++NSeyyo274HjDG13tpvVvdaUAQAmYeM77Bu2I2XoeK9Raj7Nn6RBFqnIoqEOjDOwly1zWQl7k5S/Y7grH0ASCvKQ5WhxRB9CW8ywRQlNsQnde++TBSEjivJqShmZA4OiYrg96feeaqfwKWnh/1dh4jkVMTbA/eEpaWlKMjLAVpD94t5OVk47qgjOjyGMQZl1yYwWYESFJ1wHMAH7894ngMHLmDQ0olwhGmOxxiDwPOqiIlpBCrh+7WLXHS/typYCXs9OE73s6to9w5/LMdxulnMaq3a3y1CrQLPw3TkyRAtVoiiCN8PP4LtKdeJg8IjGonIyIqCpjYX6lpaUN/aiqa2NjS0tqKti+5Pcm0d5KxMCLmB+ysxMx22IaVw79obz7JTjvpFy7B60TKkTRmP8XP/DduQAbrtp71wP2b+5Xf4/l8v46cX58LfTQFXf8avcdcw2WMlKtIIoekamzSEC8S4SPerRER0r5VizH287aCxKLnz90iffQQEpyPiPkxRsH/Zj9j7wZeoWLAErt0VEfcjAgia734kKiL6Au14D52DiVRF8fkhhESdFH9GEEkKiYoIIn5UahfSivLQtKcy2r4E0e/xNDWr7UR0KtLO9jyQU1H7/m+fdj0uXvi86p4gmETkjh4acf8ldz2G8pVrY1NsHPA1t6J63WYUThoDABjzt5tQMe9zeGvqenxMU2Y6BEvoewJTmPrall58alxFRbZBIaeihl0UZXUgtKIiyZt6cSmt+/arMYUz/nwDtn7ylcEVEX2FNcMZdZvb29F1pTMspo79IvrYJxIV9YYMzXmduVyd7EnEEz47O+q2SE5FsAacwDIzM8F8NsASctIZMWQQhgws7fgYRQZz1/a61lSEKx2oCgNcogmyLfEiifsDAs8j25mGbKfelcsnSWh0uQL/2lxq2xXheuHftRuc0wneagXHcbCWFoK3WeBKpYjZPrrstfy4ASuGzkbBZWdg5H/+DDHDqV5/0wcU4sQn7sZR91yPVU+8htVPvQlvc2vfFBZHZM35VoiVU5FmoJMZJKAgYk+H95Ji7roMJxgjtDMPKUXJ3Tch8+RZEDLTowqX61avx+53FmLPu5/CXUkTqbqK1imGJvcSfQHTORWRqIhITZg+jpVERQSRpJCoiCDihwdAHYAcAEgrKSBREZHQaJ2KTPbIUTL9GV8PZijt37gNL045B8f+84846PIztNnAKu76Riz9v3/jx2ffikWZcWX+lXfhup8+BMdxMGdnYspbj+L7E64Gk3tmfy+ERQrV79iNnBGDAQQER/HErok/q928M67PlQw4C0KiIl9r6g3Wf/vAszjlmb8CAEoOnYi8cSOwf+M2g6si+gJLRuQYJwDw+LonKrJFGtTTDAKQpqh3aJ2KlLqeC16J3sFnZEZc7/H5ICkd7xc4jbg43F3KaY884x7+1BO3xoSAdZO6yNraDCwmOTGLIvIzMpCfkaFb75MktLjd8Pr9kJkCWQk4bIl2J+wzjgQTRUiShNbWVlTAgtbqGnglf2B/RQEDA8/xwdg2XnXm4riASxbPczpnKkXjVIVg/FygFYqDa3f4aifcz0sbGReJUNSdZp36PPoLWrTrm0no2wit6jcWoPqNBciYMRWjnvkrHGOHq4PxjrxszHrwVky7/SqsfPw1rPr3awktLvK7Q/copk5ikLqDdmINORUlDx2i7EhT1GV0jiJxvpEX83NQfNeNyD7rRIh5OVGFRE0bt2H32wux+52FaE2xyPJYoX1tmUznOiL+6OLPyKmISFGYPo6Y4s8IIkn5f/buO76t+uz//+scDWt5Jl6xsydJyHA2CYRNgVBoobu05UsHtNA97rt3gbb3TVva/krLaGlLCw2bAi0pYW8IZO+949hx4r21z/n9IUc6siQndmzJsq7n4xFyzpF09BGRLZ1z3p/rklCREAOriq5QUU5ZcYqHIsSZCXgiF4BUS/p9fPg7IhdeFEXB6nLgaz/1xZjO+iZW3Phj3vn5/Yy7aBHFMydjtmXha+/k2Lpt7F35Nr629AhpnNi8i+1PruTszywDoOiiRUz56a3suu33fdqftTA/ar1g/OjwcuOHA1i1SVWxl0d+p57YsnvgnmuIMFYq8jS39nDPoWn9nx7n8nt+gto1ayx/bLmEijKELUGoyB8IEOzlBTWbVSoVDSRjqChwTNo6pIqanx93e5vHE3c7xgpeevSFzewEbTwkVNRHNkf0hTK3tPRIFqvZzLDs+J8n6q69OC6+ANUZer+fPXoctc+8nMzhpUzn3sMcZVXSn7fl3XWsnb4M16yzmPKX/yV77vTwz4Y9P5cLfv5NFn77C3z4/z3EmnseSctAfSCqUpGlh3uePuPFdUVaJQ4Z3QNi8m97+oyVigai/ZmlrISSb91I/tWXYS0vTRgkaj9UReWTKznyxEqat+3p93FkmlRVoBKZS5NKRUJgyo469pfZL0IMUel3VViI9FINzATIKZdQkUhvQZ8hVBSnYs9g1z1A5Cwejq/99Gd+tRypZtPfn+nvYSXdc5/9HiPPqSCvq83MlJ/cDLrO7p/d1+uKRWXXXha1fnL2q7+tgyMPPds/A47DVjwc1XBxv3rdtgF7rqHCaQgVddY1pXAkqWOcnd1R15jCkYhkMtvjV9bz9iHUYLPETraKmvWfrD4wQ1TemPLwcvDwkRSOJLOpefErFXUkCBVFzcbtNhvc5UzQLtffuyphoost8v9T1/XuJeZFimgtLXi37cC+cD4A5oJcVFsWWrx2gaJftW/exfr512EbP4qz/v4L8s6dGwkXFeRx4Z3fYeF3v8SHv/07a+59NGqSyWAXcEd+5xrbTZ8JLRD5nWGypt/xvIhP7XYBW0IUpy8qgNVPkwOci+ZQcssNZJ+3AHNBXsIgkft4HZVPv8SRJ1bSsHoAJ2RlIqlUJJLM+PkqlYpEJlLtNsw5LuOm46kaixBiYMlRpBADq+rkQrZUKhJpLmq2ZBpWKure/swxPJ+mDC0n/beFn+RbR97E3BXMmXLb1ylZdj7bv38XdW+uPq19lH3qCib/5Oa4t1U+/ByBAWw3YB9VGl7WNY3OWmmTcyquksLwctux2hSOJHWMJ407JVSUMcy2+BfiAn1o+2i1xFYKML6v9KCEis6EsVKRf9fOFI4ksyUKFbUnqlRkvCDXrT1attNFPLpUKuobW2T2p+719ekCqB4MQiCA7vOhBwLgD6AH/KHWdVHt1ZTwuhLq1RX6t05UAePk/RQ11HrHZAr9flTV0G0mU+LHDgH+gwexzZmNYrGgKAoFly2h/vk3Uj2sjOE5UMmmpZ/HNrqMs5bfFRUucgzL56Jffo+F372BNX9Yzrr7H0uLqp3GKsEma/9UKjK2yeoeRBHpy5Yb/VmreeQz9nTpxs/RvraNU1WGfe4aCr/4SZyzp6MmmNAA4Gtu5eizr3LkiReofXttn9vQi55FHZ9JyE4kQXT7s6H7fVeIRKylhcZVHcjME89CZID0uyosRHoJ926QUJFId/7O/p8tmUx6MEjA68PcNXbHsPgXzTJB+/E6HrnoBq5//aHw/4+82VNZ8sY/qH9vPZu/djttuw4kfHzpNRcz95FfJyytfujPTw3IuE9ydFVZguiwm0gs23CA13o0AyeMDOELmaJnZlv8Vu59CRWZTbGHTtHl9eXCQF9ZXU4cwyNtt/xbtqRwNJlNyc2Nuz1eqEgxm6PbcXW2QTByUt3p60BvihNG2rMZ6mtCQRVFDf3Rta4/hP7WNEBH13RA71rvPoCu51ZUFEUJ/QxqWihsoyhdFwgVQ1jmZPDF8OfkBcXwhUU9+q/u208lZn9dj9W73Sc89vB/DNvijBXQHZH2W8GGBtr/9XyoWlHAj+4PoPv94PejB7qWAwF0nx+9axt+f+rbNCpd4SSTKVTpTTVFwktdAaSTAabQ98yTYaaufysdw3uj69/a+Jr06H+/k9v0rvspJhNqTjamwuGYy8owjyjBVFSMmhO/tdlpCwTx7dlL1vRpAFiLh2MpLMAvIeak8hypDoWLxo5k6iN3kXtORfh3lLOwgAv/79ss/tFX2PDnJ1l998ODOmgfPaFnIEJFcjp4qLB0azWq+f0pGkkaMn63SFBRKB41L4eSW26g4NorsE0Y02NlEk9dI8dWvk3Vv16n5uV30Xzy7zPQoirJSqhIJEFU9VA59yQyUNaIIuNqLSAfdkIMUXIUKcTACoeKciRUJNKcu7E5vGyx26IvxKQJf6c7HKLJyj3DiwdprvL99dw76VK+8PrDDJs4Jrx9+LlzuWDTvzl4zyPs+cUD+LvN5C3/zDLmLL8rfCJa1zSaDh6lYMJoAFq27KZtx74BHbtjVCRU5GkZuIpIQ4nLECpq2Hc4dQNJFU1D17RwEG7shQtpOng0xYMSyWBOEILtW6go9oKBGlWpSE5a91WuISyq6zqB3btSOJrMpiYIFXV6Y0O8iqESka5p0FQXXrdbrZjqj8Xdl75qZShU1I9O9xtpOn1z7T5W5exF4eXA0So8H5xedclBRdchGIRgMOb1JePfRifUrixwtArvxki7GcVuw1RUjLmkGFNxEaaSYsxFRai5Oae9b+/WbVjGjEF1OVEUhezZU2l89f0BeBXiVDyHjrJxyWexTxzD1H/cRc7CmeFwUVa2k3O+fyMLvnk9255YyZo/LOf4psFXHc9vaH+m9lOVYGNVFONFd5HejFWnNKl80yuh4HKXU4SKbFMnUvKtL5N7yXlYiocnbGsG0LJzP9X/eYvqFW/SsHqzBFuSzvBvk2bnLEV6iq5UJJUAReaxlkaFiuKfBBBCDAkSKhJiYEmlIjFkdNY3Ra1bHHb8HZ0pGk3fGC/49tfJ2XTWWlnDfZMuY87XPs2Fd34nXL3JlGVl4g9uZPSXr2P/3f+g5l+voes6ZddeypTbvxE+SNY1nX9d/0OuevD/wvs89u/XB3zcxvZnHdL67JRUsxlnYUF4vW7H/hSOJnVqd+yn+OxJAJx3+zc48t4GGvYcTPGoxEBLXKkoEHd7j/uKd4LQECrKynFxm39HeD10DltPeKVc13WqPtzEPy74Qq/HMtQYW5/h98evSiMGnGK3Q4KKGB3xQkV2e2QlED0Z0dVD+w/amhPfJhIriJysDdbVp3AgQ4/u9hA4coTAkSNR2xVbFqbiYkzDh6FmZ6PYbSiqCSzm0AXoYFe1JLMJ1eHAMmY09nNC4S9LYX68pxJJ5N53mA3nfAr7xDFM+cvPyTtvXjhgbrJamfXFjzHrix/j8DtrWXXXX9n/0rspHnGEsVJRf7UqMwYbFFUueg4Vmi/ynVaVi9m9Eh32iQ0J5V55EcVf/RyuhXNQXY6EQSItGKTuvfVUr3iT6v+8Rfv+I3HvJ5IkqlKRhIrEwDNWiJP2ZyITWQqiJibJgaoQQ5hcURViYEmlIjFkdNRFh4qszjQMFRlOGqlyoBe24c9PsuHPT7L0jls47yc3h6sQWfNzmfrzbzL159+MeYyuaTz9iW9jsVlDlau6VD3+woCP11ipqPVo/1Y6GIqyy4qjWtUd3zz4ZmMnw2s/+DWfe+mvKIpC7shS/t/7j/P7MRem3e8x0TuJ2nX2V6WiQKc7ar237UTGnL+AMRcu5PCbaVhxpB8ZQ0V6R0cKR5LZErU+A+iI1/7MGCry+6JucyYI9BEMgNcd/zbRIyU/EirSOzpQHI5QxZ+uyj8yG7//6R4vgSOVBI5Untb9Fbs9HCrS3F72f//XKGZTKIAaDKJrWmiSQ1cFRYJapI0bXbPbu1rAnVyOtMEj0iLO0BYvfss9Tl1V1rAPxdiOL6oNH5Hb41xMT5c2Pu59h9l0wRewFA1jyp9/xvBlF4b+XbqMWTqfMUvnU7NxB+/d+QC7/vVayn+egob/t4laTveWFpRj4aEo2K3dmaKqUhnndEW1Pwv9lXPxuZR+/yZcC2ajJjiOAPC3tlPz8ntUr3iTYy+9i69RAtODRVRrXqneJZJAk/ZnIsOZnHbjqrQUEGIIk1CREAMrHCoy27KwF+RFtZASIp14GpvRdT18gG51OdKuSoyxHLhqjj8TP5O987P7WPOH5Vz75N2Mv3RxjzPx/vmJb7H7X6/xzYNvhLc3fLCR9r2HBnycxkpFDftkFuCpGC/Wa0ENX3tmhmgOvPIeB15dxYTLlgDgGJ7P3K99ig9/91CKRyYGksWeqFJRX0JFsYdOrcdqOfrBJkaeM7vX+zspz9D6K1Pljy0PL2sN6fXdYihJ1PpM0zTcccIDitVwse10KxV1tMbfPpTYHODMhiwHWKxgtoDJDKop9kKDroeCVlqw648Oeih0Evm7a1th5HdF9qc/QfanPxG9K00LBVcCXfsyLOtBLRJA0rpCLcFgqNKOFkQPBLoCLt0eFzi5HkD3eNHdbnS3G62jA62tHa29Ha2lFa2lhWBjE1pjI8GGBrTmlmT8nx507OcuDi/7TtQTbO9dSNJ48VMnPQI76cRf28C2j92CarMx/lffo/TGazG7nOHbSyum8cln76V2xz7e/8Wf2f7Uiym7IB30RoKa/RUAimp/JqGiISPgjQ71KmYTuk9CRadDN4QHLcPyqajdgsnwO6G7jiPVoWpEK96k9p11UdVJxCBiDBVJwE4kgRYwtheVz1eReUw5LuNqBhzwC5G5JFQkxMBqAtyAHULVIiRUJIYKi9OR6iH0mrH0cX+VkR9qPM2tPPaRG8kbO5KPPvh/jFoyB5PVgq7rBL0+6ncf5OnrvknTgUrmff2zUReCD/x+eVLG6DBcgK/dvi8pz5nOjKEif2dmV4d47CM38qPmDdhyQwe8F9/1fWq37+PAq++neGRioFiz418Y8AV8cbf3JG77M03jhZvvQFEUsrKdoaoSqhqu6qCoStwKD9e/+vfwsoRcIW/cyPByoKoqhSPJbIorO+52t8+HHq+PX1So6DQrFaV7qEhRoLAMRoxFKR0FReUow0dAQTHkD4ecApQU/UwrqgqqipKghV0y6T4fwbp6ArW1BI+fIHCsJvTnaBX+g4fwHziI3jnEQs6Kgn3xovDqiSRU7xR9o3k87Pv2nez79p2UfuVTjP/5N7GWDA/fXjRtIh9/7Lec//Nv8v4v/8yW5c8nPTwwEJWKjMfCctFz6AjGhIrMkCZVxFKu21ebeIGihvXbqX7+DapXvEHz1j1JGpg4E4qh/Vmqq86JzKAbvyOo8SdnCjGUmfNyjKuZObtEiAwhoSIhBpZOqFrRBAi1QKvdJgehIn3pmhYqxU+oUlG6kdmZp6/50FGWX/TFhLc7ioZx2d0/Dq+3bt/LsedeHfBxmV1OrAV54fWajTsG/DnTnTH45W5o6uGemeHxK7/Cl955DNWkoprNXHb3f/PHaVemelhigGQlCBV5e3mxxaSq8UNFgL+9k6aDR3u1v7ZjtWSPKDr1HTNEvjFUdGB/CkeS2dTs+KGiTl+CEJ7xZ6JbpSKnbQhUKlKUUHho4gwYPx1lzBQYORHFln7fgZNNsVoxl43AXJa4Elug+hi+ffvx792Hb/cefLt249u9Bz1NA9CWcWPDP0O6rnPsb8+keETidNT89Slq/voURZ+8nAm//RFZ5SXhaq0F40fx0Qfv5Nwf38Tbd9zLtsf/k7SqF8bqM/3X/sxQtVdCRUOGvzO6PalqMSMNn05TgsBJ05bdHHn8BSqffomOwxJ2TzeKoR110CsBOzHwjO3PElV8F2IXE+EeAAAgAElEQVQoM0ulIiEyhoSKhBh4kVBReXGKhyLEmdGDWvgCUjqGioKGA71ELXHE6fn0v/+IyRqaCa8Hg2z8fz9OSnsA+8iS8LKu65yQ2YKnlGcIFbVWn0jhSAaHo6s2suGBJ5j3jc8BUDh1AiarJWpGuBg6snLjhyS8/t5VKsoyVmTpvq+23rW3AUDONUaJChVt357CkWQ2JSf+z4snQahI6SFU5MiK/zOjd7b3bXDJUjYOZcYilKnzYUoFSnbeqR+TQLitiq4bLlzqkcoI4d8DhmpmStQN8fdbfwLfd68HsznUWq2rxZpisaCYLGAxh7aZzJH7dP2tmEyh7/KqCcym0H1MXfdRTZHbzZbQ3yYTiqlrf1k2lCwbZNlCLd6M6xZr6DkU5bQvpoRDR+efF3ltmob/4CF823fg3bod75ateLdsQ29rO619ppJt4fzwsu7z40+zNtGZrvbpl6h9+iUKrljKpHt+gn3cyPB7OX/cSD72yK9Z8uOv8d6dD7D9yZUDftwTXamof7406MFIIEom2Awdfnd0qMgYqBA9q31vPQG3B7PdhqeukcOPPM+hh/9Fs0wGTWvGIKYeCPRwTyH6hzFUFNPqWIgM0C1UJJWKhBjC5EhDiIFXfXIhu0xCRSK9aYFAOEiSjqGigMcbXk7H9m2DScnss8LLB/6wnKZ125LyvPZRkRnvWiAISZotnM6MoaLG/ZUpHMngUTpneni5/XidBIqGKIvDjskS/3DH7fXG3Z6IzdJDqKi19yEJ48luLQmBzMHMMTw/qqKUd/26FI4ms6k5uXG3dyT6eTGER/RuoSJ7glARgy1UZDLD1Hkocy9EqTgPpTBxZR0jPRiA9jb0xjr02hr0Y0fRjh2BY5VoNVVwvBp8nlPvqB/pxHRySY3SkaijxqGUjUEpG4VSUo5SWIySWwCuXLBaEwaPFFXFOmE81gnjcV3zUaAraLR3H5416/CsXY9n7ToClb2rDpcMjksuCi937D6YwpGIM9H44jusfvEdcs+bx5QHfoZjyrjw+7XwrPF8/NHfcP5Pb+G9Ox9g66Mr0AbognXUd1Ol/ysVSfuzoSPQrbqbmuC7r4jVvv8IL067EkdZMQ1rtia9zaEYGMaAh8meoHKmEP0oKmgslYqEkC+ZQgxhcqQhxMALh4pyJFQk0lzQH8DStZyopcxgZgwVWSVUdEbMhouFlY+uSNrzOkaVhpd97Z1Je950Zmx/VrttbwpHMngUz5wcXl599z9SOBIxkGz5OQlvc/fyYr/NGr+6XdAfIOjtXdUjICrsFPT0LuA01OQawqK6rqMdHXxhgUyh5sWvytPhifPzoijRJ81jKhUlqAjZOQgqzihKKEi0+AqU+RejuOKHqaCr2pDPh36iGn3vDoKbPkRb8w40SxWahGqOotUcBd6Jf7uqwpSZmGbPR510Nsqo8SjDi8DmiBs2UlQV65TJWKdMJueLnwcgUHM8HDDyrF2Pb8dOSHFAM2vmjPBy3bOvpHAkoj+0vLuONVOvIP/ChUx58E5sY8oibdEmjObqh37Jebd/g1W/+gubH36u3wPqxu8W/dVKxThGCZ4MHb447c/E6es4VEXHIWlxNpRohjC82WlP4UhEpjA5DO8zmfgoMpC3pta4OjpV4xBCDDw50hBi4EmlIjFkGE9EpmOln4DbWKlITi70ldlmizq57U1iewfH6MjFZ3dDc9KeN12ZrBayRxSF16uTVFFqsDPbIhe797/yXgpHIgaSLS9+qEjTNLwJ2jklYs+KP8vV09S3dvGqxRJe9nt6H0oaSnIMbS3p5b+L6F9Kdvz2Z/EqFSn2bgEQQ0tBs0kly2qJeQwA7hRWKhpeinLBx1GWXo0yvDTh3XSvG/3gPoKr3yL46nNQJ61D+5Wmwc5NBHduIioGZDajzliAuuBc1LNmoZSPgezcuIEKc2kJrquX4bp6WWiXHR141m8MVTNasxbvho3o7uRWilJzI585nVIZcshoenM1H467iIKPnMek+26Lbos2tpxlf/455/7kZj749YNsfPCfUZNYzkR0paJ+2SV+Q0Ub43dhkea6XcBWzKYEdxQiMwQ6Ir/rrNEteYQYEM7yyPFssDO53z+FGAw69x42rn4d+EZqRiKEGGgSKhJi4EmoSAwZUaEiR/qVEY6uVCShor4y26JbmuiB5M0MN7Y/a4ueCSHiyB1dFm5voOs6x9ZKqEjt1nbF3+Hu4d4inWUlOIns9ft63SLInqDqiqe5b6GiqEpFvsyuVJRjOAmrd3SkcCQZTlVRXPF/Ztxxwl6KIVyuB/2gR36qXD21mmhv6fsY+2rGItTLPguzz4vb8kfXdWiqJ7j2PQLPPgyHpKpfSgQCaBtXoW1cFbVZnbsE9fzLUadVoJSUocRpR6k6nTiWnotj6bkA6H4/3q3b8KxeGw4aac0D+94LVB7FetYUAAqvvojaJ14Y0OcTydX48rusnnAJ+RcuZNIff4pj0pjw98nckaVcfu9tnPuTm1l998Os++Pj+NrO7PMs0IcqiKfiaY5UirM45Fh4KNF1Pfx+NElgTGQ4n2HSh2tMWQpHIjJF3vSJ4WXfcTlPKTKP52BMtenfA98FpHSXEEOMhIqEGHjS/kwMGcaTm+l4ItIYKrJIb/U+6z6zVTf0rB9oxvZnTbEHLaKb/HEjw8taIEggXgubDKP5fOiaFr6wPGnZ+az+vbRAG4oSzcL3BXr/O8sW5yI2RF+g6w3VMIvcWEUvE+WOjPxe15qlAl2qKK7s6HZmBvEqFanG6l3dvgckbH0G0JGk9meWLJQlV6JccT3KyAkxN+u6Ds2NBN99mcBjD0BjXXLGJXpNW/8+2vr3IxtGjcd0ydWYKhahjBoXt22aYrFgm1OBbU4FfOMmAHy79+BZvRb3mrV4Vq8leKymX8fZ+fa74VDR8Ksv6td9i8Gj6c3VrJnyEXIXVzDlz/+LY+r48PvPVTyci3/1fRb/6Cusu+8x1t73KB19rOhqnMyjKAqq2YzWh+8vRsaxSNXeoUUPauEKRfaSQlp3HUjxiIRInfoPN1O4uAKAoiVzUjwakQmGzT4rvNy+ZU8KRyJEarRt2IEWCKCaw3GDbwF7gT+mblRCiIEQO01PCNHfwqEix/B8TFnxL0oJkQ6CaV7pxxgqMkuoqM+s2c6odc3vT3DP/mesVFS/+2DSnjddGUNFZzpjeihpPnIsvFwye2oKRyIGkqLGD0joeu8nS5lN8edi+Nr79nNlONnSb61S0lX++MjvqWDNsR7uKQaSmp24PYQ7TqgIY3AoEF1Rw5moSoKnE7QBrm6YOwzluq+j3vcK6td+FhMo0v1+gmvewfvVq/F+YjGBe/9XAkXppvIAwb/9Dt83PoH3qjl4r12E/4+/ILjxA/SWplBgLA7rlMnkfOl6iv90L6M3rWHkulUU3vd7sq//LJaJscGz3mp79InwssmWxZg7bjnjfYrBq2XVRtZMv5L186+jbdPOqPedPT+X8277Ot+tfpfPvvhXpn9mWa8n5ES1PwOsrjNvPd52LFI9wWyV81JDid/Q7tFhbCsrRAY6+PdnwsvO8hKyJ4xO4WjEUGeyZTFszvTweuMr76VwNEKkhu94HZuWfh7PkWrj5q/Tb018hRCDhVQqEmLg1QA6XR+i2SOKaD5UldoRCdFHUZV+0rD9md9tDBVJWfC+yh8/Krys+f0EkhVWUVXs5ZGKb8c3707O86ax/HHl4eW+zpQeclQVV2lheDVRNRuR/lSTKe52Tett8zNQEwSUtD60f1Qtlqj1gDuzK4gVTBwTXvbvlbZTqaLY4l/w1nUdb5zqGIrxfRyMvvidsFJR5wBWKSqfgHLl9ShLlsVtj6U3NRB49h8En34QNKnCPqS0NhN8bjnB55aH1s1W1KWXYTr3UtQpM6CgMG7bO8uokVhGjST7Ex8HINjQiGftuq6WaWvxbtsBvagM499/gI6XX8X5kUsBGP39Gzn8s/vO/PWJQa1t/XbWVXwMx+SxTPnbneSeUxGuXKSazUy8/DwmXn4e/k43las2cuTttRzbsIO6HftorTqecL/Bbu3PrNmOqJarqtmM2ZaF2WbFlGXFbMtCNZlQTComixnVbEbt+ttkMWPKspI9oij8eEVVyB1dRkv0xR+RptyNLWR1Tfxxji0/xb2FGNpadx0g6PWFJ/UWLZpF2/4jKR6VGKryZ0wOv9d0Xaf2qZdSPCIhUqP1w01s+ciXWbAr/DMwDZgHrE3dqIQQ/U1CRUIMPD9wAigByCkvkVCRSFv+zsiFz3Rsf2astCRBgr7LGx2pFuRrSF6rGltpYdTF+Jr125L23OnKGABrPiwXDQBu3roCi+Hnv2r15hSORgykeBeRAXR6Hyrq3lonvK8+hBOMrc8gurVoJiqYEPk9Fdi6NYUjyWxKgkpF3kTVCI2hvWB0uM5mtRCXu59DyIoCMxejXvEFlBmLYm7WdR398D4Cf/51dPssMbQFfGhv/Aftjf+EN6lzl6BeeCXq9DkoRSNQzLGnwkzDCnBefhnOyy8DQOvsxLthU7hlmnfDRvROd49P3fyH+8KhIpPLQe5582h5d10/vjgxWHXuOcTGJZ/FWl7CWQ/eScFFC6PeZxaHnfGXLGb8JYvD23wdnXhb2vG7PQTcnqigsmKK/g7z5TX/xGSxYLZZMdttCYPTvTFqcQXbJFQ0JHiaWqDrGN2an5vi0QiRep1HjpE9aQwAw+ZO58Ajz6d2QGLIcpRFJj5qHi+aJ7MnDInM1rnnIM3vrCVv6fyTm34MXJPCIQkh+pmEioRIjmpOhooMXzaFSDe+jsiJdEuatz+zSKWiPrMXRE5UBlrbk/a8DkPrM13T6KxvStpzpytj+7MzaRc3/iPnMfuGj1M4bQJWp52gL0Dtjn2suuuvVK/Z0h9DTYp5X/8sRdMmhtcPvLaKNX9YnsIRiYHU/YLcSYla4/S4r0RVmxOEjXrcV7fH6H2onDRUuEqLsDojLV28qz9M4Wgym5KTE3d7p6/3obcsS4JQka+fTrJbbSjnXoVyxedRysbF3KwHg2ibPsR/z8/hWGX/PKdIa9r696ODZROmYr70GtTZC1FGjAarNeZ3s+pwYD93MfZzF5NPqHWed8tWPKvX4Vm9Bs/a9WgtLVGP8W7cTKC2FnNRqCKMY/I4CRVlGF/VcbZ85EZQVcq/8TnKvv5ZHJPHxg0nW52OqM/AnmSXFp36Tr3kz/BKiUOJ8bjYbqjIKkSmat6xLxwqGj7v7NQORgxpUROZ+nCeQYihpvpPjxtDRVcDVwIrUzciIUR/klCREMlRDcwByJZQkUhjfsPs3HSsVOQ1BGDSMRQ1WOSMLA0v+5oHsJVJN/ZRkef1GwJiIjFjqOjYhh2gqoy/dAkmi5m9K9+mdNYULv71D3EWDcPX3onFnoXFacdktaCazQS8PnJGFMWt7DVs0himXHMxTQePsu6+x9j44NP42juT+fJ6bd4tnw8vH9+8i6c/fmufKs2I9KAHE/3b9j4I5AvEr9biGJbX6311r6DUlxZqQ0W+oUWHrmloNTUpHE1mU13Zcbe7vQk+b3s4ae5IVA2y8wyDyPmFKJd+GuWiT6Dk5McOyesm+NoKAg/8Cjw9V5QRGW7/TgL7d0bWi8swXXYNprnnooyeAA5nTAhEsViwzZ2Dbe4cuOUmdE3Dt2t3qF1a159gbW1U2FRJ0DpTZABNo+reR6i69xFUl4MRX/o4wz92Ca4Zk7Hk5aCYz7zSkFFMYFrXu35N66DraJqGHtRDoctAgMNvr2H3v17r1zGI1DFWpDW2CxciU7UfOBpeVhNV0BSiPxi/L0qmSAhqn36Jsps/awwW/Qp4GcjcE19CDCESKhIiOcJH+FKpSKQzX1ukbYXFYUvhSPrG3RiZTWx1OVM4kvRWOHV8eLkziS21jJWKvEkMM6Urx/B8srIj7/N5N3+Gax76Zbj1kq5pCdtDnS5FUSgYP4rL7v5vLv3df3HojQ956tpb8SWxglVvGD+Dtz3+Ar72fm7FIwaVRDPwbVZrr/fV7o4fmHMWD+/1vmLbn2VuSDJnZElkJYP/PwwGSoKfC28gEP8BxkCmEv2ediYIFemdffzsHnMWypXXoyz6CIo5+sKQruvQVE/gyb8SfE4qz4k+OlFNcPn9BJffH1p35aBedBWmRRegTpgKufmxISNVJWvaVLKmTSX3xi8BEGxqxpQfCZu2bd6VpBcgBjOtvZOq+x6l6r5Hw9uyRpWSu2g25rwczDlOzDnZ0K3C4qgffjnc5mzdn56ges0WvK3teFra8bW142luw9PShqe5Da0PVeXE0GGsSOswTAASIlPpeuR7aqI21kL0h6gAuS4T1oQA2Put/2P+5hUnV6cD1wFPpW5EQoj+IqEiIZKj6uRCdnlJT/cTYlCLChWlYaUfd1NreNmahuMfDFSzmZGLZofX23bsS9pzO0ZHQkUdJxqS9rzpylilCGDkObOj1nsbKDqxbQ+H31pDR20j9vwcJl9zMQXjR0X2pyiMu/gc/qtpHe0nGnA3NOFt7aB+1wE2/u0Zqj7c1PcX00/MhraHtlxXCkciksHT1BJ3uyPLhqooaL0oT97ujl/1JKe8BIvDHlXJ71QUU3QAQ/MlCG1kgFzDhS+tTcKiKZWgZZk/GH9CoW7c3u09bTUnOM3g7kWQU1GhYinqldejTJ0X+/y6jn5oD4EH7kLbKG3zRD9rb0V7/jG05x8LrZutqOdeimnpZahTZkBBYdzvUcZAEcDcVU/iramldd026p55hbpnXpHwhwDAW1lDbWXP1flGfusL0FUdeP9L77L3P28mY2giDdVs2B5edpQVo1otaL74VTaFyAS6oRJs92MvIfqT8f0l3c+ECOnYuocTT7xA8WeWndz0LSRUJMSQIKEiIZIjHCrKHSmhIpG+PMb2YWnY/sx4gdmUlaA1R4a66FffZ+b1V2N1OdB1naYDlexZ8Sbv/fIv4YsfZQtmct2Tv8PUVT5aDwap/Me/kzZGY/uzlqPSIudULE7Had1PCwbZ+8LbdNY24Otw42vrIODxomsaFoedxgOVVK3eQsOeg1GPe+1Hv2X6p69k5hevYeQ5s7F2PZ+iqmSXFpJdWgiEwkyzb7yOgNfHn86+isZ9h/v1dZ6OYZPH8pn/PIDJcNG86WBVD48QQ0FHXVPc7aqqYs+y0dGL9khNbfEDSooCpXOmUfne+tPeV0ylogxu52isVKQ1Slg0pRJccNG0BGfHjaGibuEKU6LQavA0AnQWK8q5V6Es+yLKiLExN+vBINr69/Hf83M4kbxqiSLDBXxob72A9tYL4U3qvHNRL1qGOrUCpbgUxRQ6vabrOgSDKGYziknFVl6CrbyEoo9dgv7obwg0NNO2ZTf1L7zN8eX/JtDYnKpXJQY53R/5nWkMxgvR3fHNu8PLiqpizc/Fc6I+hSMSIrWMvz8V05lVZxaiJ1Eh80THTUJkoKN3P2wMFS0CzgPeTd2IhBD9QUJFQiRHuJlzjpQiFmnMawgVpWOlH09LZPwmi8xWArAV5HHr3ldwDIueWV1aMY3Simksvf0bBP0BTBZzzIzsqidfpPNIatqfNe47krTnTVdHV21g5zMvM+Ej56KYTLQfr2fn0y+x+vf/QDWbmHLNxSiqyu5/v05L5bFe718PBtn22Aq2PbaCrBwXF/zvt6j4yiex2OO3RjRnWfnYI7+hYe8hpn3ycjpqG/jnJ74FQPWaLWf0Wntyw/uPM/Kciqiy5zWbdrLt8f8M2HOKwaGzrjHhbU6bvVehojZ3Jx0eN05b7GffhMuWcPSDTdGVW3qgdjuxHcjgmeQ5hgqewZrjKRyJSDS1NmHHCGN5f+U0L9b01H7CkY1y8SdRLv8cSn5h7NO5Owi+9CyBB38HvvitDYVIJm3de2jr3guvK7MWkvXbh0PfNxJU61IUBcvwfAouWkTBRYuY+Lv/ItjeSceuAzS99gE1//gX7hSEr8XgpBlDRQnaSgoB0ZO/ANSs3rf6FUII0XvRoTUJFQlxUtv6bTS/v4G8JXNObnoJ+CnwT+BwioYlhDhDEioSIjnCoaLs0kJUsxktkLmtLkT68hpCOenY/kx+7mJ9df2zMYEiI0VVMcc5KVn31ho2ffW2gRxaDGOlotode5P63Oko6POHQzvxrL3v0X57Lm9rOy9/607euv0eRp83j8Kp43EMyye7vJizIzNTKF8wg/IFM4BQ26Mvr34aXdfZ8JenWHnTHf02npOuuO92Ri2eE7Xt+OZdLL/wixldHSZTaIEA7qZW7Pk5MbflOJ3UNicOHcVzrL6WieWjY7Y7hucz/pLF7H/59CZdqd0uNmfye9EYtg9USlg0pRJUF0pYxj+QuFJRr+QXoVzxeZSLPoHiiG5Lqes61J/A/+gf0VY+3ffnECIZjEE7YOvkJdhnTCV78Txci+bgqDgbtVubQUVRMGc7yZ0/g9z5MxjzPzeheX24Dx6l+d11HH/8BVreXZfMVyEGEd0QOk4U2hcCAE1D1/XwJAqThNBEhlMN1d2MAU0h+ptx8qUulYqEiHLklw+Qt/KvJ1cdwK+Bu4AHgB8C7QkeKoQYpCRUJERyhHusKKpK9oiiPlWFECLVPM2t4eV0PLEZdYDX02z5DLHwuzeQP7Y8vF731hqOPvI8JoeNwgsXUrLsfFRrdKCofe8hDj/4DAfuWY7m9SVtrOZsJ9b83PD6sfU7kvbc4vR5W9rY+5832fufN8PbXv3ur/j2kTcxWePPmFUUhTlf+RSv/fA3+Lpm2Z4M35ZWTGXJf9/ExCvOQ7WYeeXbv2Dbky8y6wvXcOTdtdRs3JlwLPnjRzH365+N2rbmnuW887P7o36XiaGt7Vht3FDR8Jx89lcfjfOIxPZXH2X8iJGocQIUE69cSvXarbhPo42NcTajruugaT3ce2jLKS8OLwcPHkjhSISaE/tzAuBPEMjW/H7CNR9N0acVVDXBdyzjvkaMRbnqBpRzl6GYo4MWuq6jH96H//5foG9efTrDFyLl9KOHoi7qW8eMpOXFN2h58Q0AVLsN57xZuBbNxbV4Lq75szFlu2L2o2ZZcZ41HudZ4yn72qfRg0G81SdoXbOV2mdfofbZV6N/lsSQpRlCx1bX6bU1FgLAZJNKRSKzGc89JPO8lcg8UZWKEs7GECIzNb70Lvu/90vG/u+3MTnCk9MV4GZgIaG2aJk7y06INCShIiGSwwPUAYUQmpUtoSKRjrwtbeFlczqGiqJa00ioaME3vxBebvhgI6suuSH8/+jg/Y9hHZZPXsVUFJOJQHsHHYeq8FSfSMlY7YbWZ7quU7tjX0rGIXqv/XgdT3z061z7+G+xF8SviqWoCj+sX42iKCgmE4qiRF2YO+mK++/g8ntvQ1FVdF1nxY0/ZvNDz0Xdp7RiKhff9QPGXrQo/Hi/28Mfp15J8+EqRGZpPlRF0bQJMduL8vNRFQWtFyf+3D4vR07UMLa0LOY2k8XMWR+/hI0P/vOU++leqShTqRYLruLh4XX/rj0pHI0wlZTE3d7uTdBqzNg+0BAKUhSwJnqP+70wpQJ12ZdQ5l4Qc7Oua+jbN+K7+w6olJCZSDONddDWAjmh7zqjfns7uy+4Ds0d+hnS3B7a3l1N27tdQTmTCcfZU0Iho3NCf6wlRTG7VUwmbKNGYBs1gqJPfARd1/HXN9G2cSd1z7/B8Uf+jdbembSXKZIn6I78/rVmO1M4EiGESC+qIVgXzOBW02LgKSZTZCWDJwsJkcjRux+m9p8vM+KmT1P8qSuxjx918qbZwHeAX6VudEKI3pIz2kIkz1G6QkW5I0vo3dx4IQYHjzFUlGUNXdhPo4MmzRAqyvRCRarZTK6hndi+Xz/YLXQFvoYmal9bleyhxeUwjFXzB+RgPc0ceOU9fj/6QkYvnYctL1QNY9TiCube/JnwfUxxWoLEc7K8tKIofPRvv2DpHbei+f0c37SL7PISyhfOjHls474jEijKUPW7DzJp2fkx280mM8Nz83vdAm3HkQOUDS/C2u39CjBi7nT2v/werVXHe9yHajb1eHumyC4tjCoX79+xPYWjyWxqQQFkxW+V0tgWvyK57olc7FZUFV1VQNNxZGXFVvNSFJTikSi3/hplzOTYfQUDaB++hf/3P4Xmhr6+DCFSLvDoH7F8/ccAOM4+i9F//CWHbvhO/DsHg3Ru3kHn5h3U/ukfAGSNHRUOGLkWzcU+eXzMwxRFwVpYwLDLljDssiVMvv92Ai1ttG/bS+OL71Dz8L/wHa8bsNcokkdzRyZuZ7kkVCROQSc8byrqIrcQGcjYAlCTUJEYQFHtz6RSkRBxeauOc+gnv+fwz+5n6iO/oeiTl5+86QfAPYDMkBAiTUioSIjkOQpUQKhSkRDpyN3YErVuttvwd6TP976gsexxhqeKys+ZHRW8qH3tgxSO5tSMlYp8afSeExG+9g72rXw7vL7tsRVs+MtTXP/aQziG5yd8XNOhqqg2fUaKopA3OvTeKJgwOuE+lESteMSQ13igEn+nB4sjtrpeScHwXoeKfH4/O48cYNaEKXFvn3LNxay979Ee9yGVikKMwVZd06AjfnhFDDx1RGz1LQidGG9sT/Dv0i2IjKICQbLt9sg2ixWlbByUj0exxbbu0X1egq/8i8CffgW+BBWRhEgjweeWY7rkGtSJUwEY9smP4tm5j5rf/PG0Hu89VIn3UCUNj4WqMJqHF+BaOCfULm3RXByzpqHGCWFb8nLIP3cu+efOZdwvvovW4aZj90Ga3lrNicdfoH3zrv59oSIpjO3PLE57D/cUAqJTRXLsIzKbao18Vmp+aRkqBo60PxPi9Ol+P3tuvoOCK87DHArMFwB3AbemdmRCiNMlZ7SFSJ5wcaLckfHbCwgx2HmaWqPWLfastAoV+TvlgtVJZfPODi93Hq0h2Onu4d6pZ6xU5G5oTuFIRH86vnkX9066jMlXXYDV5aD5cPnLD8EAACAASURBVDXNh6vxtnWQleOio7aBzrpGzv7cR7n673dislpPvVPA3dhM0OfHVVIIQNXqLQP5MsRgpuvU7dzPiLnTY24aWVTMjsP7Cfay8tnBmmrGlpaT63TF3FY0fSL540bSdDBxTUqTxXAIlsEnHvPGRMKCuntwfwYNdabi4rjbWzo7CWjBuLfRvRpR11t5WI4LnNkoIydC6WgUU+wpB721hcC/lxNcfv+ZDFuIQcn3nc+R9fjbKDm5AIy4/Tu0rVpL+wfre72vQH0jzS+8RvMLrwGgOuw4583Cdc5cspfMxzl/NiZHdNhEURRMLgc5c6eTM3c6o3/wZfRAAO+xWlo37KDhP29y4qmX0Ab5d38hRN8p3T+jhcgwZsOEEs04uVCIfhZVqUgqqgtxSoGmFo498CSjvn/jyU23AC8BL6ZuVEKI0yWhIiGSJ3x1SSoViXTVGadSUTrxdUROniuKgtXlwNeePqGo/mQyzNwKpkHYyjE6UkWhrfpECkci+punqYUty//d4322PbaCmg3bmf6ZZWj+AJseepaA28vEK5eSN7oMZ1EB4y5dgi0vmwOvruL1H/6G9uN1lM2fgau0kH0r30nSqxGDUc2mXXFDRVkWK2NKyjhwrPdNaXcePsCiaTPj3jZp2QWsuWd5wsdK+7OQ3NGRCnRaS0sP9xQDTS0oiLu9qaMj4WMUa6SthK7roAXBmc3wBUtRF50Xc39d19GrKwn8/Xdo775y5oMWYrDyuPF+4zqyHnoRxWxBUVVG/fZ2di6++oyDpFqnm7Z3PqTtnQ+pARSLBcesaWQvmY9r8Txci+Zi7moza6SYzdhGjcA2agRFH7uEKX/7BcG2DtwHKmlZtZG6f71G05urz2hsYgAY3y9SeEacgq5H3iZRlTOEyEAWw2ehr6UthSMRQ11UiDNz5wsJ0SuHbvs9eecvICdynu43wGuA9KsUYpCTUJEQyWMIFUmlIpGeNJ8PXdfDbbMsaRYq8nebkesoHJaxoSKjdKiObjdUKmo6WJXCkYhUqd99kLfvuCdq29ZHnu/xMdVrtw7kkESaOLFld8IWaJPKR3Gopgqtlxd6axrraWhtZlhOXsxthVPHkzemnObD8X9XGduf6RldqSgSFtVqa1M4EpEoVNTWQyUTdfjw8LKiKDB2KorNTmFX26eTdF2Hxjr8T/8d7dmH+2W8Qgx6NUfx330H1h/8AgDHzGkUff2L1N7/cL8+je7307FuMx3rNsPdfwFVxT5tEtmL5+NaOAfngtlkjYptb6goCuYcF9mzp5I9eyrlt3weXdPwNzTTsXM/TW+t4fijK/AcqOzX8Yre0QORSnGmbm3vhIhh+E6pWuR0v8hs1pzs8LKEioQQYnDRvD52f/nHzNv475PBvKnAL4AfpHZkQohTkaMMIZLH0P5MKhWJocFszzr1nQYRf0f0xTH7sFyaD/W+QsVQEHB7w8uKdfCfpDa2P6vffSCFIxFCpBstEKDy/Q2Mv3RxzG32LBtjSso4WHP6YUVFVTHbsthXd5zS8nLQdDRNA11H13QUk8qML1zN9sdfwGS1YMqyhv7u+jP+0iWRnUmoCIBgpVy4TiV12LC429s8saEitbAIU1kZard2lIot1IIpPz8fAD0YRK8+grZzMwT86Ds39fOohRjctFeeQ/virahFoe+wo359G8O/+Em8+w5hynHh3r2f2j8tx3vwSD8+qYZ7227c23ZT+0CoYp6lpAjngtm4FlTgmj8bx+zpqLbYYzhFVbEWFmBdOp/8pfMZ99Nb0bw+PJXHaPlwM3XPvEL9yrdBWnskjR4IhJclJCJ6RdqfiQxndkVag/pb2lM4EjHU6VJVUIg+6di6h2N/eYqymz5zctP3gWcBKZ8qxCAmR6VCJE84ueAsGoYpy0pQ+jqLNBS6YJqelYq0QICg3x+e6ekYlp/iEaWOuynSasYSp03CYKKYTNjKisPrx7fsSeFohBDp6MBrqxhzwQJMcS7KnTV6LFX1J/D5T11p2Wy3UTLrrPB+Ci+YS0lJ/AqUF/zsm6fcX0ZXKhpbHl4OHJCwaCopTmfc7e2ek+1RFUzl5ZiKi1FMidv3OZ1OVL+P4J7d6Af3Rt2m10vrUpF5fP/9FbL++jyKGvq5cUybjGPaZAByLlxC4Vc+R+0Dyzl25z1obQNz0dN/vJbm51+h+flQ20HFYsEx4ywcc2finDsT55wZ2CePj/tYNcuKY+IYHBPHUPqFa9B1HX99E+3b99L48nscf3QFvmNSaW6gaP5IqMicBpNARGopauRqtibnGkWGUw2/MwNuTw/3FOIMGY7nFUkVCdEr+7/3K3KXzME1fdLJTT8DLkvhkIQQpyBTF4RInmMYuuvmlEsLNJGedMPsVHOahYoA/J2REwq2vOwe7jm0Va3eHF625uVgLYht4TNY2EoLo9oFVa/blsLRCCHSka+tg8r3N8S9LctiZfqY+BdUu7PlZkcFkzZu3HhG4/K2dpzR49OVajaTN3pEeN23RarYpIqSk5OwD6o7qGEeNx7r3LmYR4zoMVCkuztx1VQSfH1FTKAIgJam/hqyEOnjyH58P7wRvT1+6xXVYqHk1huZvvEV8q+9EnNh/Kph/Un3++nYsJW6Pz/C4a98nx0Vl7KpbDZ7r/oC1T/9/2he+Tr+uoa4j1UUBWthAQUXLGTCXT9gcdW7LO3cyoIdK5nyt18w/KoLpUJKP9INoSJVQkXiVAyf5X5p9yQynGI4fyQhOzGQpFKREH2nuT3s/96vjJsuBUanaDhCiNMglYqESB4/UAOMgFALtKYD0upBpB9jqMjiSL9QkXEWSSZXiNC16NeuDOKS+o7RkRY5uqbhaWxO4WiEEOlq/8vvMWpxBaY4F+ZGF4/gYE01ze1tKKpKwYRROAoLCHp9+Ds9+N2eqFDqSVVVVdTW1lJUVBRzW/gzRtdDHz26hq7p6JqGrml4W9t56Vt39vfLTAt5Y8vDYVFd1/GtW5/iEWUudfjwmG2K00nW/AX4vD5McSp4ae2tKM5slK4LmFpbK/qhPdhLi2PuC4DXDT5v/NuEGOL0zavxXjMPtWIR6oVXoeQPA4sFdcb88EVP64gSxi+/BwD3zr3s+8RX8R1OXovmYHMrrW+uovXNVeFtWWNH4VwYapnmWliBfdrkmGChoiiY7Fk4p07AOXUCI/7ftei6TqCplY5dB2h+ey0nnlxJx/Y4QUNxSlHtz8yD91hNpJ5qtYY/kwECcb6zCpFJjC0jpUuAGFBRoSJJFQnRW02vrcJztAbbyNKTm5YCy1M4JCFED+SoVIjkOkpXqChnpFQqEulJCwQhK7Scbu3PIDpIZMrgk7PTP3VFeNlb34T3RH0KR9Mz+6jwgQV+t1yUFEL0jbeljX0vvcuUqy+KuU1RFKaNGc+qHVsoOnsSttxQJTvVYcfisCfcp6eljUd++mvOr1iA2WIGk4rmD4Ralug6Aa+Pt277A97WgWlrk66GTTRMPgsGoUP+/6SKqSTyGasOL8Q6by5qXj4ejwe/IVCkaxp6SzN63XHo7IDJ01HsXT8bnk4AHFkJvhd2ZmZFLiGMtI0fom38MLLB4cLys/tQZy2ICgPYp06i9Hs3ceTW/0nBKCO8hyrxHqqk8Yl/A6C6nDjnzMC1oALngtm45s/GHKfSqaIoWApyyVtcQd7iCsb8z03ogQDemjraNu2i4eX3qH3qRQIySeCUjJWK4rVvFeIktVuFMD0YTNFIhBgcjCFYCRWJgRTocIeXVVtWCkciRHoa98vvGQNFAI5UjUUIcWpyVCpEch0FFkCoUpEQ6UgzzJg029PvgMnf6cGenwtAVm7mtj+r+Oonw8uNHwzutjMOQ6jI09yawpEIIdLdgVdXMXLRbJxFBTG3FecPY9KcmXgdp99ixOpycKK1hcPVRxlTMiLmdnOWlUlXXci2x1ac0biHmoIJkVCR3iYtOlLJPHYs5tGjscycheJ0hsMNTU2hdmV6MIjeVI9eeyJSbchkQrUbwnbtoc/mnAQBPL1FwgNCxOhsx/+DL6EuPB/zLbehlkQqc1qKYyuIpZrW3kHbOx/S9k5XMEpRsE0cG6pmNHcWznkz41YzglAbGtvIUmwjSyn86IVMvv92NI8XT+Ux2tZtp/6Ft6h//k00j1RXMYoKFWVJ+zORWKDbz45qkfeLyGyKKRK0M/4uFaK/dVQeCy+bepiMJISIZRs3ktE/+mr3zW+kYixCiNMjoSIhkitcwzx3lISKRHrSDAfkPVVvGKwC7sgJt6zszAy/mx12csoj1dKO/O2ZFI7m1OyjIhfqO2obUjgSIUS604NBtj/1Igtu/XzMbarVwiVXXsMLL64EIOgP0H68HqvTjtmehclqQVHVqIoSQV+oksv2w/sZMawQa5yLOKOWzOHQm6tpr6kdoFeVfgoMlYqCJ06kcCSZzXnLLWTf8k0UW2yFoZrKSrTj1ej1tRDodjHGFvn+p+s6elsLAHnO+N+r9Nam/hu0EEOMtvptfKvfxnrv06hnzQDAP4griIbpOp69B/HsPUjD8tCxhOp04Jg9Hde8WTjnzsQ5bybWstjzHqG2aTack8fhnDyOks9/FF3XCbZ34j5QSevqLdQ9/waNr74PhtbbmUbzRarFmSQkInojg9u8CwFEtaHSM/hzRAy89sPVkRWTiupyoLV3pm5AQqQRW3lMJ5e7gH09PMQEXAyMBVYB2wZmZEKIRCRUJERyVZ5cyJFKRSJNBQ0nNy2O9Gt/5u80hIpyMrNSUcWN14UvigfdHk688l6KR9QzY6WiFsMsICGE6Iu6Hfto2HckugUXkJXtYkR5GaWlpdTU1HB80w4Cnthy+RanA1teNoqq0HasDgCf38+uykPMHD8p5v6KAlOvvZS19z06MC8oDRkrFQUrj6RwJBnIZiPntttxXHtd3DCR3tFGcP8eql56Hr0ufrBBsRvCQ4YLNfkuV/znbKg7oyELkREMPz+Bpkh1L/PwAhwzp9K5dReBusEdrtc6Oml/fy3t768Nb7OUFuOcNxPnvFm45s7EUXE2Jpcz5rGKomDOdpI96yyyZ51F2U2fRtd1As1tuPcfoend9dQ+tZK2dZlz7cAYKpLKM6JH3dufSYhCZDjjJBA9KD8PYuB0HD2OFgyimkwoikLugpk0vfHhqR8ohMB9qKr7pmuB3cDTQPd0XjbwOjC/a90LjAZklpoQSSShIiGSK1ypKGdkTBJXiLQQMPQjtyaYkT6Y+Tsj/a4trvQbf3+Y/ukrw8v1765DG+Q95u2jI5WKGvfKxWchxJnb/e/XWfyDG6O2edva0YJBKioqWLlyJa7SIppjT3Lg7+jE3xE7+/BQTRXjR5Tjssd+thRNn8iwyeNo2HOw/15EGssbWx5e9u/Zk8KRZA61sJDcO39J1kUXxW1PpDU1oO3fhV5Tjc/n53hDD+EFpyE85AuFtR1ZWdizrHHvrjdKlS4hTslkOD3XFQhwzpnBpBcfxeRyork9HLrpRzQ980KKBtg3/poTNK94leYVr4Y2qCq2yeNxzpkR/mM/ewqqNfb3h6IoWPJzsMw7m5x5ZzP6ezegB4J4j9fRtmkXjS+/y4knXyTQODRbLOrGSkVWOX0rElO7hYqEyHhSqUgkieb301l1HNfoUBvb7LlnS6hIiNPkPVpD7bOvUHTtZSc3TQAeAv5IqA3aG8AHhCoS/Q+RQBFAFrAAWJG0AQshJFQkRJKFKxXlSqUikaYCHm942eJMv/Znfndk/FnZsbNkhzrVbGbE3Onh9RMvDe4qRQAOQ/uzE9v3pnAkQoihoulAJXW7DlJ41rjwNs3np+lgFWUTR1NcXEzQ548bKkpE03W2H9rPwqkz4t5+1scu5v1f/eWMx572FIW8MWXhVf/2zKk6kQrmqdPI/b87scyeHTVr+yTteDXB/bujqglV1tejaQlapygKiisnvKq3twEwoiA/4Rj0egkVCXEq+vEqGDEKAOe8WQCM+Mm3w1V9VLuNsX/9DR3rt+A7fDThfgY9TcOzax+eXftoePRZABSrFcfZU3CcDBpVnI1tygSUOEEJxWzCVl6CrbyEwqsuYNJ9t6N5vHgOVdGyZiv1z79B/cq3Y9s2pqHo9mdy+lYkpnV/v8f5vBcikyiqVCoSydN2sCocKnKeHVu5WAiR2J4v/w+KolD48UuNm+3Asq4/ABoQL0GdN8DDE0J0I0elQiRX+OyfLS8Ha7YTX1tHKscjRK8F3JH2YenZ/ixSqciahqGoM3XZ3f+NyRoqn68Hg9Q8/0aKR9Qzc44LS26kTV3Nhu0pHI0QYijZt/LtqFARQP2uAwybOJpzzjmH5557jqwcF97W9tPe57GGOupbmhmeG3tuI29MGSWzzuL45l1nPPZ0lj2iCLOhoo1/w4YUjmboyrrwYnJu+wmmMWNjwkS630fg7VfAZIK21pjHHjreQwjIlYPS1YZH13X0+lC18ZJEoaLGenDL8Y4QpxJc9QaminMAcFacDYBj9vSo+6hWK3lXXkTt/Q8DodZoRV/9PObhBTS/+Aatrw/+yQLx6D4fHRu20rFhKyfjjarLiWPmVJwVZ+OYMwPXvFlkjRkZ81hFUTDZbTinTsA5dQIjbvh4uG1a555DNL+zltpnXqZtffodQ+iGoEi8CnNCJKKYpHKRyHRSqUgkT9vBo5ResAAAx4TRp7i3EMIo0NLG9utuxTl9EmXf+BzFn1mGOSemrXqiLzb7B3h4QohuJFQkRHLVAj7ACpA3uoxaqboh0ozfECpKx/ZnUaGoNBz/mZi47HzmfeNz4fXqf75M5+HTr8KRCsYqRbquU7dLWgcJIfpH4/4jNOw7wrCJkRN/7TW1uJtbKSwsZOrUqXhb2zmxZXev9rv90D7OnzUv7m2TP3phxoeK8sdFLgrrmoZWX5/C0Qw99s98luzvfg9TYWHMbXp7G/7nn8D/z0dQCouxLLsu5j6apnGssTHh/pU8Q3jI7wd/qIVq2bD4oSKt6lAvX4EQmUnbGwm9mHKyMeVmYykcFnM/16K51N7/MGq2iylvPYNtXOgzrOhr13P87r9Q9ZO7kjbmgaS1d9C+ah3tq9aFt5mLh+OaOwvn/Fk4583GWTEdU3bMRYdw27TchTPJXTiT0T/6CnowiO9EA+1b99DwyvucePw/+Gt7aPM4GBiqa0h7K3Equq6HQ8QSQhMZz5Cn14PB1I0jzTlHlZI9biS24uFkFeRhyXZgyXaBoqAHAgQ9XvztnXgbmvHWN9F2uJqOI8fQfL5UDz2p2g9GKkhay4pTOBIh0lfH9r3svfkO9n3z/8hbOo/8i88h77x5uGZOwWRPOKm9LZljFEJIqEiIZNOAw8AkgLyx5RIqEmnH19YZXramYfswf2d6V1rqE1Vl2Z9+SsVXPhk+0Rho72DXHfemeGCnZh8VaRWp+QMgs8yEEP1o7wtvs+g7X4zaVr/rACMXzWbevHkcPHAA98jSUPglEETXNNyNzT2W0W9sa6WmoY7SYbGhjuwRRRlfrcjYAlj3eHq4p+gN6/nnk/fb32EaPjzmNu1EDf5//gP/iqegM1Q1yFSxIO5+mjs68QcSXHxRQMmJVOHSW5sAKMh2keOIH9TWqw/34lUIkcEaoiuETVv/cty7FXzscswvLMd39Fg4UHRSyXe+ir+2nhP3/G3AhplKgRP1NK98neaVr4c2qCq2KRNwzp0RChvNnYF92mQUc+ypTsVkImtEEVkjihj2kXOZ+Lv/QnN7cB88SsuqjdT+82Wa3vgwya+oZ5o3clFW7ao0K8RpkWNmkekUY6WiBC19BYWLZlN60SLyZ0wmZ8Io7KWFWLKdmLKyUExq3NbJp6LrOmg6QZ+PQHsn3qZWPLUNdFafoP1wNa37j9Cy6wCNW3YTaO889Q7TQPvh6vCyJS+nh3sKIU5F9/tpev0Dml7/AAh9h3dMm8DY22/p3iJtK7AnFWMUIpNJqEiI5DtEV6jIOFNbiHTRUReZvW4vyE3hSPrGWKnInDjpPmRc8L/fZtH3bsDS7bVu+MKPaN87+KsHOLr6kgP4hsgJByHE4NGw5yDHt+yhZObkyLa9hymbPwObzca8+fN5v9tMS13TqNm0E3+Hu/vuwnYcPkhJwfC4J2InXrE0o0NFrpJI6EVvP/3WciIBp4uChx7COm9+zPstuH83/if+RuCNFyHgj7pNKS2Pu7sTzS2Jn8vuim59VnccgLHFCWbk6hr6EakwKMRpqa1B72hHcYYq71hHlIRv0psaIK8g/DOec8HihLsZ+csf49l3iJaX3hzY8Q4GmoZn5148O/fSsPwZAFSHPdQ2bd4snHNm4pw7I3HbNIcd1/RJuKZPouxrn0bXNPx1jbRt3UPj/8/efce3UZh9AP/d0B6W90zsxJkkgWySAmGGTRmFFgq07A5K2ZsyWqDlLXsVyt5Q9t47ISEQErK3k9jxtuWleev94+TTyZYcy7F9kvx8P5/Ed6eT/DixLenud8/z0bdoePE9hOubet13uEhd0dGRvNViWB0kPTAUoiBEE/vzQCE7ACg9cgEqTjkSubOnwlVRCt7lGFBoaHcYhgE4BrzNCt5mhTU/B1kTKuLuq8gy5LAA0RdAqK0DoSYv/HWN6NpRi86tO9G+fiu8qzchmOKdBbt21GrLrI2erwkZTIokwbdqoxpYjMUBuA5AAYA7AdCBB0KGAYWKCBl+2hNc9tj4B/MJSWX+xmioyJqGV2CIwejJYd6SmVd8smYzFt5xBWae/2uYHbaY24T2Tiw/6xrUvfWZQdUlx67rVORv9hpYCSEkU6195QPk71UJzqS+NZKCIXi31SB3fDkmTZqENWvWoK2tTdufYVk48nPR5ks8PrLD34VdzY0oy+8dtsgaXYziWVNRt3xNnHtmPkehLlTU0WFgJenPcshhyH74YTDW2OCwtGYFwk89COn7b+PfkePB5hXEvanem/i5lsnO0X0SSRt9NjrOiCYAUGq2A0EKBBPSX8IdV8N00/0xo4uUlkaEzj4azPi9YL7xPjBZsaMGFVlW73flP7UOPRX/+RfWzFgIydtHSDBDyf4AupYsR9eS5do2viAXjpl7wzF7H3V02uzp4LNcve7LsCzMhXnIXZiH3IX7YdydV0MOhuDfWIWWj75F7X//h2BVda/7DRWxPRq8NdFJSpIEClGQEU8flhmJPw8si7GnHoOKXx+JvDl7w1aUB2aAYzQVWYbS1QXZH4ASCKidZmUZ4HkwJhMYiwWM3Q7W5YzbKbAvDMuCs1rAWS2w5HqAytHxa1AUyIIIyR9AuL0LoRYvAnXN6KquQ+e2nejYUIXWVRvh27Er7v2Hmm9nNFTEsCx4jxtiG73PJWQwNb32EQp+dYR+05TIHwCoBHBErzsRQgYdhYoIGX5aaxDPGAoVkfQj6Dr9cGnYhl0MhrRlzmI2sJKhMXrBHJz+wX9hdvQeQ1Lz8vtYe93d8FclPhGeavTjzzprGwyshBCSqQKtbdj8wdeYdPyh2raaJSvAsCysWU5MnzwFn375OUy64IbUo3tRPBt2bkdpXkHcK0Ann7QQDT9vgCyKg/NFpBFHQTSYInlb+9iT9MV1081wnHV2zPeXXL8LoQf+CenrT/q8L5NXACQ4sdDc0Rn/TiwLJkcXCOtUwwocyyLH5Yx7F3nzuj7rIITEkr/7HKFf7w/uV78H48yC/PMyyF9/CABQfl6G0K/mgzvnUvBHngRYbFCaGyDceyOU1cshdHXAdOsjYBgGpvxclP7tUuy87GZjv6AUITa2oP2jL9H+0ZfqhsjYNOfcGXDMnQ7n3BmwTR7f634Mw4CzWeGaPhmu6ZNRfvX5kANB+NZtRfP7X6H2v68gXNvY636DRdCFwjgLhYpIYqy5x3GNkRiiICSBkdK5y1qUj70u/h3KTzgM7vHlMQHlvoi7aiFs3Qahqgri9h2QausgNTVBamqG1NIC2dsG9O4QEhfjcIDLzQVXWACuqBBcQQG4wgLwhQXgCgvV7QUF4HJzdv9g+sdlGHBmEzizCWaPG87ykrj7KYoCRZQgBoIQOroQamlDoL4Zvuo6dG6rRsfG7WhdvRGdm7cn9fl3x1/XBEWWteCWc8ZeaPty6aB+DkJGusZXPkDecYeg8LfHxbt5HtTORQnmuBNCBguFiggZflqnopwECXxCUllMqCgNQzkxoaI0DEX1Zeb5v8Gxj9zc6wqkune/wPob70d7Go7bsY+OHizwbkufMBQhJL1s/WQxRu83E/Y8tQOEGAii6rPF2u3C5l0wTavU1vszjrHD34W6lmaU5OX3us2e68GYQ+Zh6yeLBqH69OIqiXbIkZuMGyuTznJefgWWefNjtoVfew7hR+8CArv/3mQ88Q/ki5KEdl+C+3uytZMTiqJAqdsJACjK9oBNEFBSqlN/zCohKafdC+nJexPeLD15D6Qn7+m1Xf7+a8hLvwI3/2AAQM6vf0mhokR0Y9Oan34FAMB53HDMmQ7nnOlwzJ0Bx5zp4Ht05e0emeaePRXu2VMx5sYLIfn88K3ejOZ3v8Cux/4HcRA7q4ot0S6JnJkO35LEWD42PECdisiIN0LGn2VPn4ypl5+D4kPnq92I+hhnpsgyhA0bEfppJcKrViO8dh3CGzcN6jhqxeeD6PNB3Lmz7x3NZnAF+eAjoSMtbFQUDR7xhQVg85LrsMQwDBgTD7PJCbPbCUdZEbBPnDoVBYokQQqEIHR0IdjajmB9E3zV9erYtU1V8K7ehI7NO/oV0lREEcGmVtgiHXntEyooVETIEFh35pWovu8ZVN5xJRx7jYO5QOuY7AZwMID0GMtASBqjd6WEDD8tVOSpKDWyDkIGJN1DOelefyLzLjsbh995dcxBhJpXPsDG2x9Bx6qNBla2Z/Sdipo3bDWwEkJIJlMkCete/wSz//CbuLfPnLo3NsCn7qso/QoVAcDa7VtQlJMbN3Qx7qgF2LloOQR/YOCFp6GcceXasrhxk4GVIEU12gAAIABJREFUpCGXC/kffAR+1Chtk9LRhuA/roK05Kt+PwyT5Ym7vTOQ+HuRcevuEwoCkS5bBZ6s+HcIBgBvc79rIoTsOeGxO7VQEZ+dBT4vB2IzdYTrD6mtAx2ffoOOT79RNzAMrBMr4Zw/G+4D58N14DyYCvJi7sMwDHinA1nzpyNr/nSMve1SiN4OtC9ZidonX0fzGx/vUU1h3dhxhmXVDnMZfHKcDFyvUJFE3ydkZGNYXSfPsGBgJUNjyuXnYMqlZ8FWEr8rLqC+vw2tWInQku8R/H4ZQj8sh9yeImNRw2FINbsg1exmXBnHgcvLiw0edS/n54Pv7oZUkA+mZ8e2PjAMA4bnwbp4mFwO2EsLgWkTeu2nho9kSMEghE6f2vmooQW+nXXoqqpG+8YqeNduRvv6bQi1tGmhInNx74uKCCGDQFHQ+cNqrDzkdwCAae88grxjD+6+9R8APgcwMtrTEWIQChURMvy0UJHJboOjMA++BjrgTtKH4IuecErHUE4mhooK956Ew/99lXYwQQqF8dPZ16LmpfcMrmzPMDwPW2mhtl73E41RIYQMnfoV6+DdVoPssb3H0xaWFCNsk7Ft2zZAUfp9xWtnwI/t9bUYW9L7MU02CyadcBhWv/juHteeLhiOQ5YuLCqs+tnAatILO2YM8t95D6zLpW2Td2xD4KoLoOzazdXAPTCu+EGgTl03yl73cUQ/r9Ie7cSRq6tHT6ndkVRNhJA9xx//W21Z8gcgdQxe94ERR1EQ3LAFwQ1b0PzUywAA66RxcB04H+4F8+A6YF/wudkxd2EYBqacLOQdcyDyjjkQiiQhUFWD5ne/xM67n0K4pj6pEsJNulARw8BdVoiOnXV7/rWRjMPyPQ7v93NUESEZi8m8UJG1KB9z77kW5SccBs4afySm5G1D4MuvEPj8SwS++FIdXZbOJAlSQwOkhoa+92MYsNme6Li1okJwBYW9uyAVFIC1Wft+rJiHZcDwHFinAyanA/biAmRP7b2foigx4a7y6/4ISDJCdY0I1zUhVNeEcG0jwo0tFA4mZBDV3P+sPlQ0D8BFAO43riJCMh+FiggZfu0AvACyASB77CgKFZG0EjP+LA1DOWIwrC33OviWps74+HGtJbDo82PpL/+Epi/Sv9WutaQgZg583fK1BlZDCBkJ1r76Ifa/+vxe281OB2bPmIiqqirIcnInatbt3IZRBUUwxXnOKV8wGy2btqP2x9UDrjmduMuKYp57Q8t/NLCa9GGaOw+5zz8fcwWu+OMSBP92EdDZkfwD2h1xN/tDobjbYTaDMUVf8ym6DkRuuy3uXZQGOvFNyLBiWXBHn6Ktet/6CEo43McdSLK6Q0ZNjz4HMAxs0yapAaMF8+Dcf1/wWbEhS4bjYB9XjtGXnoVRl/weorcD3q+XofreZ9D+zQ+7/XxiW+zv96xRxRQqInH17FQkU6ciMsLpe/coaR6yKzv2IMy89VJk7z0xblcisboa/o8+hf+zzxFcvETrJjqiKArkVi/kVi+EDX13amfd7kjYKBI6ioSNtK5HRYXgCgvBJniPE0/P/xeW5zHmlr/2LlOSEG5oQbiuEaHaRoTrmxCqjSzrPoabWil8REg/eD/7Du1LVyJr3vTuTfcByAfwN+OqIiSzZcbZVELSzzYAswA1VFSzZIXB5RDSf6I/gzoVmdL/afCoB/4GZ1G0te7qS27PiEARANh13SxkSUawbQAnTgkhJAltVTWoW7EexTMmx2w3O+3weDyorKzE+jXJBRzDgoCN1dsxdcy4uLfvfeYv4a2qQaDFG/f2TJI9JtqxSZEkoIN+r++O7cSTkHXX3Vp4GACE915F6N83AdLAThowNnvc7cFEV3JbowfVFVkGwtHXUo4EV0or7TRyiZDhxJ1xIRiTGjxUZBl1dzxocEUZTlEQWLUegVXr0fDgUwDHwTlnOtyHHQD3YQfAMWvvmN/b3V2MCk5ciIITF0IKhtC1Yj1qn3oDdU+9Hv8ksCxDCgTBRboq2PNyhuurI2mmZ6iITkYTkt54uw0zb78M435/Aswed9x9/F98ic4nnkbgy6/pZz4JckcH5I4OCJu39Lkf43JFg0a68FG0E5K6jXXEv1gj7mNyHCwlBbCUFMA1q48aRRFCQwvCDc0I1zdHPjYhVN8MIbItVK9uo66UZKTbcvm/sM/HT4B3aj+LNwB4DsAm46oiJHOl/9lUQtJTTKiIkHQi+KOdinhL/2dWpwoxFL1iV98FJx3te/HvMOfC07X1pi+WYvvjrxpY0eCyjS7RlsU+RrIQQshg2vj25yiaPlnfNR9mpxrCmDFjBtb+tDLpx9xaW43KkjLYLL3brfMWM6acciR+fOSlAdecLtxlRdqyEqTf67vj+NOf4brq6pirX0OP3QPhmf/s2QMn6FQUEuKHihizLjgkS9HtDAOLKUHA3E8HuAkZTvyJZ2rLbR98jtCW7cYVMxJJErqWLkfX0uWovfVe8LnZcB28H7IOPxBZRxwEU49AEGe1IGv+dGTNn45Jj9yMwNadaHz9E+y860mIzdGQsawLFZld/T9xSUaWnqGi/o7pJSRTKUq0W1Gv0F0KKzpoLmbefjny940NpnaT29vR+fKr6HzmOYjbqgyocORQOjshdHbuPnzkcIArLEDpt19ox5gVUYTc2ADG6QJjtQImU9wuU4mwPA9LaSEspYW73VcKBKPhI10AKdzQon7s3l7fBDmYoCstIWmsY8kK/HzEuZi1+GX95kqo519HYOs2QoYWhYoIMca27oXssWV97UdIygl1+bVlPsHV6alMFqKvJ+O9SU8X+VMn4PC7rtHemAodXfj5L383uKrBpe9URF2KCCHDpau+CTVLV2LUfK2FshYqys7ORllhEeqxPqnHlGQZP2xci/2nzgAb57mnaPok5E2uRPP6rXtWfIqz52dry4rPZ2Alqc918y1w/P4s7XleEQWE/nkdxI/f3uPHZhKEigKJRiXpg0NiNFRk6eMAueKn/19Chgt7/OlgXNFOBg33PmZgNQQAxBYvvK+9B+9r7wEsC+fcGcg66mB4jj4Utr0mxOzLsCzs4ytQcc0FKL/6fAiNLWj5ZDGq734Kiu69azp2CSbDg+ViD+9TqIiMeLIMQA14dAczUxVrNmP6zX/BxAt+A0uuJ+4+odVr0PnM8/C98SYUXfd4YjzF54O4rQrBxUtgW7A/ACD0wTvwXX9F7I7ZOeDHTwRXOR7cqHKwpaVg8wvBZueAcbvBWG1Jh48A9fvbVlEGW8Xuzy8JbR0I10WCRnWNCHWHjuqaIuvqsuhtT6oGQoxmH1/ec9MHkY/rAFwK4JNhLYiQDEahIkKMoYWKPGMoVETSS6A19s0Fb7XEjBRLdZLuKvx0DRXxdhvOWfQS2MhVMFIojMULz0Znhp2M1ncq6mpoNrASQshIs+XDb1A2b7rWrYjXHYyeNn4yfvrkK8iKktRjNre3Yd2ObQnHoE064TAsyrDf4z3Z83Shoi7qZJNIznPPw3LAAm1d8fsQvP4vkH5YPCiPn/T4M5OuM6UU3cdm7qNjZcCf+DZCyOBhWZjOj5646lr6E7qWLDewINKLLGtdjHbddCfMFaPgOfpQeI45FM795oDVBTcZhoG5MA/FZx6P4jOPj3kYNlFnODLi9erEktxLVEIyjiyIYCNBTJPbaXA18WVNGovKs07C1MvPidtNSQkG4Xv3fXQ+/RxCy38yoEKSDEb/vijehRreVojLlkBctqTvB8rLBz9+EriKMeBGjQJbVAI2Lx9Mdg5YVxYYux0wmwGWTTqAZPK4YfK44Zhc2ed+ciisjlvrDiDVNyFc16SGkOoiy7WNCDc00+g9khLqn38HZX/9HVwzp/S8aS8A7wE4HMBXw10XIZmIQkWEGEPXqYjGn5H0EurRMcZkt6VVqCi2U1Fyb8BSxfnLXoU1K3pgZPVl/4R32SoDKxoa+k5FHdV1BlZCCBlpfI0tqP1xNUrnTAMAhDu64IgEYkonjMXYkjJs2VWd9ONuqtmBwuwc5Htyet3mKS+BZ0wZ2qpq9qz4FObIj37dclubgZWkKIcT+R98AL68QtuktHkRuOI8yBtWD87nsNqABKHqhJ2K+OiJbEUXzrb21TWDQkWEDAvTNf+nXt0eUX3NbQZWQ/ojvL0ajQ8/jcaHnwaX5ULW4Qch6+hDkHX4QeA97oT3O+6Rm7Hfledg41uf47u7n0RXbeMwVk1SWa/jGkkG3wnJNFIwBN6hPjdadRc1GM09vgLlJy1ExW+ORu6MvQCoo7L0wps2o+v5F9H1v9cgt1HHmHTBFRZoy3Jjw8AfqLkJYnMTxCXf9r0fy4IdXQFubCW48jFgS8vAFhaDzcsH68kG43SqF5KYTElfUMtazLCWl8JaXtrnfrIoqgGjmnqEdjVE/9TUa9vCtY2QQwneYxIyWGQZKw4+E+PuvBqFvz0OnCPmIioTgGegjkSjcWiE7CEKFRFiDC1U5C4tBGcxQ6IXWCRN+JtjTwLytvQagaYPQKVjp6KTX7kXBVPGa+s7nnodVQ+/aGBFQ8deHu1U1Lxxu3GFEEJGpM0ffIOS2dPAMEBnbaMWBDc77Zg0agx2NtQhLCZ/TOLnrZtx6My5ca8sHHvofPz0+Kt7XHuqsukO6sutrQZWknrY8nLkv/s+WHf0hLJcXYXAlRdAqdkxaJ8nUZcioK9ORbrDBkL0PUvCTkWhICBL8W8jhAye8nFgDz5GW2197X34flhpYEEkWVJ7J1pffRetr74Lhufh3G8OPMceBs/Rh8JS0fsCtJzK0Zh/+dmYd9lZCLS2Y8fXy7D0vmex85sfDKiepIqexzVo/BkZ6cQunzZKzJKTZVgdnNWCgv1nofSI/VF2zEHwxOkQw/DR19l1J5yM0NJlw1kiGQwsC74kelGkuHHd0H9OWYa8fRvk7duQ4B1clNUOrrIS3Njx4MorwJaUgi0sApuTCzbLAzgcYMwWgOOS6n7E8jyso4phHVXc537hptbY4FH3cnfwqL6ZRq6RPSZ1+rDxDzdi00X/gCkvG+65e2PK/+4Dq/6OHQ3gWQDnAqAZkoTsAQoVEWKMagASAI5hWXjKS9GyqcromgjpFzEYhKIo2hsNk922m3ukFiGgDxWlV6ei2X/6LfY65UhtvXXpSqz88y0GVjS0bLqrYhpXbTSwEkLISNRV14idi5aj/IBZ4CzR8IQUFmA2mTBp9Bis2rY56cft8Hehsa0Vhdm5vW4rmrEXTA47BF9mdnlxFka/ZmlPruDMMJajjkL2fQ/EtM2XVixD4Pq/AB2D3NHJkXgEREiIf5EDw+vCQ8GgtmhJNIpH3O2hbULIIDCdc6n2nkxs78TOq/5ucEVkTyiiiM6vl6Dz6yWovvIfsE6sxNSfPom7L8MwsOd6MPmkwzH5pMMhBkOoX7kBK59+AyueeA3yAELPJH0xXM/xZ9SpiIxsQlf0vZS5jw5wg82c5UL+vOko2G8mChfMRv686THvI/sS3rCRAkVpii8fDcaiXnCrKAqE5SkW9A36Ia1dDWnt7jvfsqWjwI2fCG7MWLClZeCKSsDmF4DxeMA4XWp3TJMpqfCROT8H5vwcuCLdueKRgiF1zFp9szpiLbIcqmtUuyFFAklCs5ee40iflLCAcG0jmt/6DMGqGtjHV3TfdBqAmQBmAfAZVR8h6Y5CRYQYQwCwE8AYQB2BRqEikq5MdqvRJSRFDERPhqVTp6LR+8/G0Q/+TXvjFqipx9ITLoScRqPnkmHKcsHkcmjrtcvXGFgNIWSk2vjO5yidOy1m5GQ4cpB6TLE6As0fCia6e0JbdlXHDRWxHIvimXth57c/DrzoFOYuK9KWxW3b+thzhPB4kPPY4zDPnhNzYFb48E2E/u8GQBj8cA5jd8TdLogiRClOZwOGAaMLDymh6EkaW6KTJA7XHtVICOkfdvI+2nLTEy9CbGg2sBoy2IIbtyKwbhNse00AAFR9sRQdNfUYf/SBsPcY58NbLSibtw/K5u2Dox+6Cd5tO7HpnS+x7KEX0FaV/LhWkl7Ynp2K6IQrGeGkrmgjCpM7/mvfPWXOciF774nImbEXcmdNQd6caXE7EfUkBEKoWboCS+58EpIg4sxPnlQfb9JEWObvi9CS74ekXjJ0TOPGRVdEEWhP3zHf8q5qyLuqIXy1mx1zcsFP3gvcuEngysvBlY4Cm1+gjV6DxZrUMXfOaoGtogy2irK+6wuHEaptRHhXI4I19QhWVcO/eQcCW3bAt3oTxLaOfn9Okvm8ny/Rh4oAYCKAN6GOQfsKwEMAQgBmAygGsAZA8lcOEjKCUKiIEONsQ3eoqLJ3W2tCUpkiK2C4NO1U5E/+5G8qOP2jx7U3ZHI4jGWnXIxQBp84sOlGnymKgpaNFLwkhAy/cKcPWz78FlN+c7S2LRg5UMWxLKaNHY/v1+/+ir+eGrwt6Ar44Ywziqp45pSMDBUxLAtXSYG2Lm7eZGA1BmNZuG68CY4zzowZeQAAocfugfDMf4bucycYfxYIJxjF3LMbUSB6koZN4gpVQsgQ0IUEe3UqIRlB0XUc2rVsFT6/9i4wLIuy+TMw8biDMf7Yg2JGYwNqQDl3fIU2Jk3wB9G8YSu2fbYEa158Dw2rNgz3l0GGmNxj3FkyHSQSYVgWjIkHy/ORjxxYkwkMz4E18WB4Xl3mOfU4BcNoH8FEamBZ9SPDwFKYC3txPgC1yYQ2ok1WoCgyIEeCUIoMRVagKAoUQYQcEiCFQ5ACIXU5pC5LoTDkUAiiPwg5GILYlZldPsnAiP7o9wO/B8csGY6DY1QxXONGwz2+AlkTKpA1eSw8e42DYzcjn7opigJfYwt2fP0Dlj3wPHYuin2f52/2akHRrD//Ec3rNkD2+dRwCkkLXFGhtqz4R0gDlNYWiIu/hbj428T7WO3gJ04EN2EyuDFjwJaNBlugjl1jXJGuR8mOXDObtfBRvMGG/k1V6Fi2Gu1LVqDti6Xwb6QLmUayTX++GfXPvIlZS/6n37ww8vEoAHcAaAWQo7v9DQB/AtA4LEUSkmYoVESIcbYCOBRQOxURkk4UWQY4NeBislkMriY5gr5TEcOANZshJzqRliLmX34OzI7ogZCfzrsBrUtXGljR0LOPjoaKpCHo1EAIIf217bPvYHFHOxX5m73acmleAcoLi7GjoS7px61pasCk0WN6bc+bOAYmuw2CP7NGvTsK87rn2QMAxLVrDazGICwL5xVXwHn2uWBssSc45PpdCP3f3yAtWzSkJTCm+N2FBFGKfwfd/op6FlBbb+3sSvyJbA4gMEIOqhNiEKV+F5gK9er4oovPg3X8GGz97YVQ6LVzxlB0v5u5SMhTkWVUL16O6sXL8dk1dyJ77ChMOPZgTDjuYJQfOEfbD1Df75odNpTMmoqSWVOx/9XnQxYl+Jpa0LJpO+p+XIsd3/6Iqi+XItzRx+/0EYblefB2K8x2G3ibFbzVDJPNAt5mhcXtAsMx4MwWmKxmNWDDceBMPFgTD5ZjwfLqMtcdvOHU8A3LR8I5kWXtPpF9WRMHljdFAjz6fU1geTbyeDxYngXLqR8Zjut1oddhi16EFAiB4Tkwkc/N8JwaBIrU173OcmwkKBQNDLGJxpumMK07k6KooSRZhiJJ6h9RgiyIUEQRcliAHBbUUFIwDDEYUkNJPj9EfxCSLwDRF4DQ6YPkD0D0q+uSLwChswtilx9Clx9ipw9Cpw9iRxcFmlKQ5I929OasiY9ZcjYr7KWFcJQVwV5WBMeoIjjKiuCsKIVr3Gg4K0rBmfs3vqybIsvwNbai7qd1WPf6x1jz4nsQg4kvbvzxkZex4IY/AQDsCw/F6I3qBStSWzukujq03X0f/O++n1QNZHhxBfnastLVaWAlKSboh/jzCog/r+hzN3ZUObjxE8CVjwFbNkoduZaXD8aTHRm5Zu33yDX7hDGwTxiDojN+qZawsxatny5G0+ufwPvZdzFhbTIydCxbtbtdcnqsnwRgMoAFADL3am5CBohCRYQYR4tKU6iIpBtFkgCT+hSS7p2K7DlZ6KpvMqia/plx7snacv2H36D6ubcNrGZ42EZHr/oKd9JBOkKIccwuB0y26KjPzrrY54x9KifC29mJDn9yJ+NqW5rihooYlkHuhArUr1w/sIJTVNao6OgzRVEgN4+g4zNuNzx//wesRx8DpseJCUUIQ/jf0wg//TAQMO75zsQn6HKiDyH16ITQ2Nae8PGYUWOgbKLRpYQMpfBtl8HyyBtgOPV9mefoQ1F40dmov/u/BldGBo1+jBUb/2Sad1s1vr//WXx//7OwetwYd+QBGHfUAlQevh+cRfm99md5Dq7iAriKC1Bx4FzMv/xstSuMJCPs8yPobYevyQt/sxeBljYEvO0ItLYj1NaJcJcPYV9ADWJEAk8My4KzmMBbLbA47TC7nbB63DA7bGpYxqQLyXDdYZnu5UhohouEXzj9Oqv+YVl1vBerdsKJ/mGiH5noutoxh4l0yGHVxjlsotujH7sNRpcfo+XMmmp0CcNO+39jGDAsAHAAhi8cpYWadIEmWdCHmCIdlgLBaHjJH4DY5Y+EmLogdvggdHZBaOtEuK0TQnsHQq0dENo7EG7yQsywCw6Gitnjhjkn2sOk4pQjMf7ck2ErLoCjrFAND5UVwV5WCGtudh+PtHuKoiDU3gnvtmrULFmJ9W9+iqrPlyT1GF/f8iB+ceW54HuMFeY8WeA8Wch/9CHUbtoMYeMI7vKa4rj8PG1Zbkvf0WdGkat3QK7egd1F4tnCYnCTJoOrHA9udIUaQCopBZOTC8ZmjztuzTq6BCXnnoKSc0+B0OJF46sfoeH5d9D+3U9D88WQ1KMoqH3sFZSc/5s+dxM7feBdWhfYyQDuB/DbIa6OkLRDoSJCjBMNFdH4M5JmZN0Vkya7tY89U4/c48pds8sBpHioiNddWdW6JLM7FHXTdyoK6LqCEELIcMsdX64tK4qCYGvsgUKe4zB74mR8seKHpB63rasTvmAADmvvcG7OuPKMCxXljIv+O6KPq3UzitsNz7/vhPWwhXFHE4lffojQo3dDqdkxbCUpnR1xt9stFjBM7PlrALEhKCm2m1FXMIgOvx9ue++RakzJKAoVETLUqjYh9KeTYbnzGTBu9QRq/gVnUqgogzCm6GFbKbT77rrBtg6sefl9rHlZ7WqRP2U8Kg6ai/IFc1A2fzqyEozrYRgGDM/BmuWCNcsFT0XZ4HwBJCMpPV8sqBsTrCpge7wG6tjVACASBGJ6BIJ0YS+GZcB2h9J4LqYLV6rRvgaOAcOxgInvs0POQMR2Y4qMiYt0YooJMQkC5JAAORSGFAhBDAYh+YIId3SqgSVvO8ItbQg2tSLY2IpQYzMC9c0I1jf3CpAbgbfbYCnMg7UgB5b8bFgL8mArKYC1MBfmvGxYcj0we9wwuZ3gXQ7wdis4qwWMiVcDhHGCgfs9ftse1SSLEkKdPnTVN6F18w7U/rAaWz9djF3f/7xHj6s+tojnDjsbp7x6LxyFeb3qZ1gW2Tddj6YLLoTSRR3lUhFfVqoty000MWmoyA11kBvqIHz9Rdzb+dlzYT7kCJhmzwU3thKMJfZ8hSk3G6V/PA2lfzwN/s3bseuhF1D39BuQqFNjxtty+R0I1TYi+5D5CNc3Y8tlt6Pg10cha79ZCNbUo+6J1+BbvRFjb78M5df8oftupwG4D8D3xlVOSOqhUBEhxomGisbQARuSXmRdu9B061RkzY6duhz3gFiKCbVF2+e6p4wzsJLhYy2KXunT1dhiYCWEkJHOXabrsCPHf87wON3Iy/KguT25KxOb2rxwFPV+HnWVFiZXZBrIrhytLUvezA6LsmPGwHPb7TDPm9/riklFliF98ynCzzwMefPwB8cUb/wOUTzHIT8rq3f3oZhQUe/rR3e1eOOHijy5e1QnIaSftm1A6NrzYH3oVQCAZVQJOLeTTpBkCH2wcyBjUZvWbkbT2s344aEXAADO4gKUzJ6KoumTUbj3BORPGY+cylFJj/chQKjTp4Y3pMiYLVmB3D1uS1uWtY+KLPfaJosiZFGK/BG1j5IQXVYkWQ2LdG/vtSxBEgTwVgtyJ6odMGWh+zFEyGERkiBACgva/aSwoO4TFiCFw5AECVIwCCEYghQSIAZCEIJBiMEwxEAQUkgdExb2ByEGQ0kHTy7Z8SWyIhcNfXbNnVh8x2MD/nfvHufG6cJGrMkUGVFnhcluA2+zwGSzgrdawFvNkRF2FnWEnVUdY2eyWcHr1+2RbZH9TfbI/S1mcBZzzMd43TCGQ2w3pu4aBjdopUQCS90dl/Sdl9QxuN3BJu0vdZP+uJqiRGvs7goW6SiGeF3CGEZtFqbfPoy6O7UJgSCCbZ3wN7WgvboOjas3Y9eyVdj57Y8ItsUP5Q+WnYt+xF3F+4M1m+EuLYSrJB9H3X8DimdOAQDYDzkYZd9/i9YbbobvzczvXJ5uTBPGa8vShnUGVjKyiT8ug/jjMm2dHT8R1lPPgOWgw8DkF8T8brGPr8D4e6/HmFsvQf0zb6L67qcQrKoxomwyDKQuH7bf8iC23/Kgtq36nqdRfc/TMfttu+FeZB/6C7jnTOvedBmAvlscETLCUKiIEONooSKz0wF7fg78Ta1G1kNIv0mCPlQ0fJ2K1Nbq6oEc3mpRl60W8JF269H1yMfug0k2q3oAyWbF6ANmxzwml2jcRwrZ9P5XKJoxGQBQfPyhsI8pgz/D3+xYSwq05a5autKHEGKcpvVbtWWWY+EZOwpt26p77VdRWJJ0qKjdF/+krzsDQ0We8mgHOrmhwcBKho553ny4b74F/MSJvU6IKKEQhPdehfDas1CqtxtTIAClpQmKKILhex8KqCwu7B0q0o0/U8K9u2S0dHT22gYAjCdnzwolhPRfQ23MKmO1ABQqygisrtNJ2Lfno4+66hqx6d0vsOnd6FX+DMfBU16C7LFnonvmAAAgAElEQVSjkDW6BO6yQjiLC2DL9cDqUTsXmZ12mBw29T232QQu0hEEiJ6Ql8ICxJAaQgl3+SEEglpgRpF0wRldmCa6vfc+iiTFfpST2dYzwCP1CuHEBG+EaEhHEgS1Dm2buj7z/F/jyHuvAwD4GltwZ+Ev9vj/Y6TQHz/qOeIpWYokQZKkfnXuGiosz0ePP1lMMaEjk80Kk8MGs8Ou/dyYHTaYnQ5t2eS0xwag7DaYIh+1dbsVZkfv0PZQYxhG7a6Z+ofJdqu7w7okCJBCYQTbu+BrbEFHTT1at+xA8/qtaPh5AxrWbIEc5zWuEeRwGG1V1Wirqsbj80/FlY1LYM1yAgC43Fzk/+cBSF4vgl99Y3ClpBtjtYAvi14sLixLbvwdGTry5o3w/+Nv8P/jb2DyC2H/88UwH3YEmCyP9l6ddzpQduEZKPnDqah/9i1sv/kBhGrqDa6cGEaWseNfj2La61r46BQA/wBALZgJiaBQESHG8Ub+ZANA9thRFCoiaUMKR69Un/2n01B55AFgeR4sx4LleTAcCzZyBRnDceBMvHrwMfIHDAPObFIPvJgjV1bFtLruua6+2B+KK8J4W+qPb/v2tkew/7V/AMux4KwWzHnpbiw57o8IZ/DvDIeuo4X+hD4hhAy35vVbUfP9zyjbdx8AQP7kyrihouLcfLAMAzmJDnid/vgnfS1uB3irRb0aPENkVUTbwkvVvf/90pntlF/DddnlYIuKeoeJggEI77wC4YXHobSkQEhWkqDsrAIzdnyvmyaUFGPZxi2Q9B0I9N0rwr2/H/2hBN+jdueeVkoI6a+2FiiKov3+ccyYhvaPvzK2JjIoWF1X4PAQBcUUSYJ3WzW8cV7bkCj9MRAMcyeVtKd/bZwB/3ayKCLcJQJdviH9PHufeQJOfPYObf2B8YfHXjzX40I6rRuT7qK67o5MJocdFpcDZpcDFpcDFnd0OZU7lYnBEEIdXQh4OxBs60DQ24GAtx3ByHqgpQ2B1vbIH92yt93Q4NlgkMNh3FdxME59+2GMPmC29hzvueJS1FOoKGWwWZ6YY9XiesoepCKlqQG+W66D75brwM+YBfsV14Ofurf2f8fyPErOORmFpx2L6ruexM7/exzSEP+OJ6mp+e3P4Vu7GY4p4wGAAfB3ACcZWxUhqYNCRYQYaxuAWQCQUzl6UGYxEzIcRN2b84KpE1AwdYKB1ewZUxqEisRgEMseeA7zLvk9ACBn332wcP0HWH3F/2Hns2+lxNz7wcQ57LDrTj7v+PZHA6shhBBgxROvaaEiV0kBWLMJcjh2FJSJ5+FxutDa2f/2+J1+f8LbrNlZ6KpLgRDKIMkeO0pbFrdmQFiUZeG8+BI4zj4HrNvd62bZ2wLh9echvPki0J5a496kTWvBxgkVmXge2S4nmtuj38OMKdolA8HeXTKkRK9BuAy4xJ2QdNLWCmSrYwfHPHYntp5+ITq//d7gosieYizR38GhTjq5Zag0GJtOMossRjs8BbztaN2yY0g+D2c2wexywuJ2RIJHTu2CwO4LATmzOm4uZmwZIiPZtKls0YsC1XF/cnSEn65zmKwb76fvXCaFBYQ7fQh3+RDu8iPsC0CRpCH5mtNFsK0DTx94Bs5b9hpKI+N4+JKS3dyLDCfGGj2mrCgK0EWdIlOduGI5Ok4/CcjywHHNjbAceQwYXr3gmbNZUXHDn1F83inYesUdaHjxXYOrJcNOlrHtxvv03YpOBLAvAHpjRQgoVESI0bRQkf5ECyGpruqz75BzQWqMlFW0me4KlO5579oBjMiBCkGAFBa0luwFU6In0nibJcEjp5aPL70d4448AHmTxgIAzLnZmPXUPzHtzqvQ+v0q+Ktq0LF2C+rf/wqBnbW7ebTU5pm5V0w7/e1fLdvNPQghZGitefl9HHHPtTA77GBYFkUz9kJtnDC42+FMKlQUEhJfQTuc40WHmsluQ/aYaFv48PdLDaxmDzmcyLrpJtiOPyHmZG83uboK4ZefhPjhW3E7+6QCpSbxSSlRf/KG42LGpCn+JE5o08lXQoaV8OS9MF32dzAMAz43GxM+eB51/3wAtXc8BIzwk7LpjDFFfwcL/qCBlRBF97zWsysh2R369xoI/c/8no6N64sUFhBo8SLQkloh+JEub3IljvnPzSg/YHZMJxy5o//vNcnQY9LkmDKJo70Nvmsvg++W6+D4262wHHO8Ov4RgKUoH3s9fycKTzsWG86/AeH6JoOLJcOp+c1P0bl8DVyzpnZvuh/AfACZdVU3IQNAoSJCjLWte8Eztqyv/QhJKe/96Wa0bd+FsvkzoEgiZEFSrzgSI1cdSRIkQYy54kgMBCEGghACISiSBCEQhOBX/yhK5DWZrECWlUhASA0HKYoCyDJkWYEsiAh1dCLU6UOwrRPhLv+AuvRcH1gF3qq+8TPpWsqnuoemHINTXrkXk391uHYg05ybjaKjD9T2kYLX4Kdzr0dNGl9NkbvfTG052NaRcZ2YCCHpJ9zpw9r/fYgZZ/8KAJA7viJuqMhuSS4IJCsKREkCH6erSzo9P+1OVnn0ilpFURD+8QcDqxkYtrQUWbfeDsuCBdrBRj1p1XKEX3oC0qLPUz9QY3ckvMkX1J20NkVPYCmKAoR6dyqyJRqZEU7vkROEpBv5w1chjh4L/uSzwDAMGJZFyfUXI/f0k+B952M0PPAUhNp6o8skSdKHijJpJGpaSvXn9lSmyxQpMv079pe/OTru3mS3gWFZKHRsZEQ46cW7MPXUY+IGGNvuuNOAikgi+k5F9DyRpoJB+K6/Ar577oD7zgfAz5yj/ezlHnMQ5q55DxvOux7Nb31mcKFkOG25/F+Y8dXz3atzARwCgL4JyIhHoSJCjKXNfsipHG1kHYQkR5ax6J+PGl3FgMm6q3VN6XRViSzj1VP+ipI50/Dr1+6He1Rxr4MMnNWCOS/ciXCzF42fLDKo0D1TsHA/bblh1UYDKyGEkKgVT7yuhYrMDhucRfno6nHFGs8l//ZKlMT4oaJ0en7aDVdxfnRFkgDdOIdUx0/bG1m33gbT3nv3es5VZBnSos8RfvFxyGtWGFRh8hhXVtztYUGEIOo6muhCRYkOktut8b9PFV/ngOsjhAyM9OgdUKo2wXTp38GY1DEOlopRKPrrecg97URsPPoMBNdtMrhKkgw28v8IAGKAQkVGknXPj/quIWT39P9eFIrpv/bquph1S5YLQW+7QdWQ4TL9nJMx7bRje22XfT40X3IF/B9+bEBVJBHGprsQiEJF6a25CR1nnQp+5hy47v0P2OwcAIApx4NpbzyEHf96FNuuv4f+n0eItm9+gH9jFewTx3RvqjCwHEJSBr0LIsRYVd0LNP6MkOGjPyDI29JvvEztD6txb/nBuLtsAb665UFseOtTNK3fGtOSffxV5xlY4cCZczzIPWCWtr76hfcMrIYQQqKqFy9H8watySRK5k7rtY+JH0ioKP5YGv2JxHTnKinUlpVQepwUtRx+OPK//gZ577wL8z77xASKlFAIwtsvw3/6UQhed2FaBYoAgHHHDxV1BXuM1tF/Pyc4eOq0Jngd1UWjGQgxgvzJmwiddSTk6qqY9wam/FxUPns/QGOb0gbT4zWF0PN3NBlWsi4QzbD0c5SMmF87dDK237pqYy9esLgSd5okmeMXl5+tLct+P7y33YGa+QtQPWU6/O++b2BlJB5W/16IQpMZQfzpB3gXzEbw3TdjXkuXX/MHTH76jrhdi0lm4j0u/Spd9UwIqFMRIUbTzky5y4rAWcyQQjQqgJChJoUFbdmUhqGibl21jfj65ge09SPuvR7zLv4dACB3/1mJ7pbSRv/+BO1EuizJWPnU6wZXRAghUSueeA0L/30VAMBZmAewbMzBQ22cZxJYJv51Hpl0JberpEBbVrq6DKxk9+znXwDnH/8ILjev121KZzuEN16A8NpzULwtBlQ3OBJ1KvL1GK2jH7sDOX74LVGoSOmkK+kJMUzDLoTPPgqYOA2m3/8V3NwDAAC2yeNhnz4V/hWrDS6Q9EfM72AAYoBCRUaSpejrMupUlCSGOhUNhCyKUBRFC7abHJkzGpkkllVeqi17/34bOp9+zsBqyG7pnw8oNJlRfNddjtA7b8D94ONgLGp33qIzjwdrtWDdmVdA0Z1bIJmHc9jB58QcN2lNtC8hIwm9CyLEWDsBaEfoPRVlBpZCyMghC9GrDPkMGi8TaPZqy+GmNHyty7IY+5cztNVd3/8cc0UoIYQY7edn34IkqAePGJZF0fTJMbdLAzhRwiY4MaV/rkp37lFF2rLckoJhHKsV7n/chqL1G5F1/Q29AkVy/S6E7rsVvpMORPixe9M6UAQA6G+nIrPuNZIY/6CpI8H4M1CoiBDjbVwN4brzoUi69z65HgMLIknp8fpA322XDD/qVDRwLB/t6iBl0OvbYaHvOGenUNFIoA8tSt42Aysh/UJBoowmLl0M71EHQW6P/iwWnHIk9n73UXAOu4GVkaFWeObx+u7hHaBORYQAoFARIUYTAezoXsmppBFohAwHKRztCJbOnYp6mnHeKdpyx5rNBlYyMCXHHwpHZBSkoij45Io7DK6IEEJi+RpbsOndL7X1/MmVMbfLAwgVcQlCRd3hpUzgLouGiqS6OgMricWWliL7yadRtHY9HGeeCcYWe7JG2rwewVsug/83CyG8+iwQ8BtU6eBKNP7M1zNUZI3+eyQaW+dM8DqKOhURkiKsNoCNntAX6hsNLIYkQ+7RPc7idhpUCemJziEnh+Wir3UzKTQ/LHSz4+iCqxGAZcFbzdqq3JzmFzKMBPSEkPGUpgZ4jz4Icmv05zFn4X6Y/tnTMOVmG1gZGSqm/ByM+fvF+k3PQD2PS8iIR6EiQoy3tXshu3K0kXUQMmJIoeiJWj5DQkXTzzkZnvISbX3nc28bWE3yGI7D5L//VVvvqK5DzZIVBlZECCHxrXjiNW3Z5LDBmu3W1qlTUXz6TkVi9U4DK1GZZs9G3vsfoGDRd7AecggYjou5XVz6DQKXnIXA2cdD/PQ9QMqc/wsgifFnNofuxo5e+/McB0v06r1Ynb33J4QMP3bGfG10jiJJCG7ctpt7kJQhSZB1AWOrx93HzmSoMTTiZsD0/3YUjBk4iUbtZDx3WaH2nA0A4fXrDayG9Ieifz5gqItdxurogPeIAyHV7tI2uffdBzO+eQEW3QVUJP0xJhOmvno/zHlaYMwH4C4DSyIkpVCoiBDjbeleyBlHoSJChoMY0ncqyozxZ4fceom27P1xDWpeft/AapI3+qwT4Z46AUCkS9GV/2dwRYQQEt+Wjxch2KYGJhiGQencfbTbZGUwOxVlzkkXfaciccuWPvYcWraTT0b+d0uQ++rrME2ZGnPQXgmHIbz/GvxnHoPgFedB+vE7w+ocUhwPxha/VXvM+DOLRQtbKYoCpb33+AWnNXEwW+mkcQ2EpALF1xldYRgwJt64YkjSFF3Y05pFnYqMxCR4vUZ2Tx/ezqTXt8ONRiBmvuIZU2LW5Y7OBHuSlEEh05Ej6EfbUQdC3LRB2+SYXImZi16CfeJYAwsjg2nsbZfCs2COftPV0E2aIWSko3dEhBhPFyoqN7IOQkYMUXdwNiM6FbEsnEV52uqGWx4EBtAtwyic3YbJurai3q3VWPe/Dw2siBBCElMkCXUroleN6rvwyHJyBxUTdSkCMudKbs5sgrMw+hwlbhjmK25ZFs4rrkThqjXw3Hk3+JLS2DBRRxvCzzwM/8kHIfTP6yBXpd/40GQwrsSdLmJCRVZd8EhRALH31fGJRp+pD0YnQQhJBcq6FdpV9AzLwrVgnsEVkWToR6CZ3S4DKyExrx3oJHJSYjsVUTAmGfrvu0zqYkricxTkxqyX/bgE2ddfA8cJvwTrpm51KSnJ9/8kzcky2n91NMLLlmibrKNLMOObF+CaNdXAwshgsI2vwKjLztZvegbAwwaVQ0hKolARIcajTkWEDDN9qMhkT/9QkdlpjznYJAWCfeydesZddjZsJQUA1AO0r//2MoMrIoSQvjX8HA3GsByHvMmVAJIff8YxfYSKMuTEgau0UFtWFAXCunXD8nnZ0lJ4HnkURRs2wfWXi3odiJdrdiB09y3wnXQgwo/dC6W1eVjqMpzbk/Amv+71EaPvQpRg/JvDkqDbo78LkOmkISEpQRSBlkZttfSWK8BmwkUVI4Q+VGRxxe8yR4YJTbUZMIbVBbIken3QX6zZHLMu079dxtv1w6qYdb6oEFkX/Rn5jzyI0mWLYd1vvkGVkYRo/NmI1Hnu6Qh99L4WMjbn52D6F88i+xAK76ez0Veeqw9CbwHwZwCUHCREh0JFhBhPCxV5xpTFtAUmhAwNwR8N3WRCp6JwRxdCnT5tfeYTt6HwqAUGVtR/loJcjL/qPG29ZunPqP1htYEVEULI7oU7/eisa9LWC/eeCACQkwwV9d2pKDNOHOhHn0GWAb9/SD+f9ZfHI//zL1Gw6DvYjjwKTI8TMtKq5QhcdyH8vz0CwhsvAMHAkNaTahJ1KgqGw7GhOIvu9VE43PsOABwJXkMpnR0Dro8QMviEZx7Ulu1TJ6H8gVsNrIYkhTripIyY8Wf0/5KUmG47Uvp0VDYab44dV5kpFxyQxBpWrseif/0XwfbOXh3ROE8WCp56DHwFTTlIKfR8MGJ1XXkRgi89q/2s8i4H9n7/MeSfdLjBlZGBMOVmo/CM4/WbbgcwtAevCElDFCoixHhV3QucyYSs0cVG1kLIiCD4oycQTRkQKgKA7/79uLZsLy/FLz54DPt/+Sxy5k03sKrdm3TjhTC5HAAARZbx2q8v3s09CCHEWM6ifEw745dwFedr28yR32NSkt1ZuD5CRVKGnDjIGhV9bauEQn3suQfcbrj/+S8Url2P7PsfAF9ZGTumRJIgfvkh/H84BYE/nwbpm0/TakzoYGISdCqKGX0GAKZoGEsJx/9/S9ipqLNtQLURQoaG/OGrkDev1dZzTzsRuaefZGBFpL9Ya/T3rOAfoudQ0i8sH70AUKFxN8lhqFPRQPDW2NdZmTIamfTt82vvwh2e2fjPtGOx7fMlaK+u10ILrNuN/EcfBpPoNTgxAD0fjGT+f94C/wN3R39GLWZMeeVeFJ93isGVkWTlHncwuOjzbgOAFw0sh5CURaEiQowXAFDTvZJTSSPQCBlqYV80VMTbMuPN+Df/eBgb3vo05mqm/IP2xYLFL2Hv+2+IOSCdKpwTxqDiD7/R1je89Rk6auoNrIgQQnbvgOv+gOwxZTHbgm2dAAAxyRMlfB8dKqUE3WHSjUf3b6W0tw/qY5t/8Qvkvv0uilauguO034J1OGJuV9q8CL/wX/hPXYjg3y6GvPbnQf386YhxuuJu7wrEnqxmTKboSoJQkTNhp6LB/X8mhOy58EWnQenq1NZH/ftGmIoKDKyI9AfriI4887dQYDNV9OwgQvqmH39GnYr6r3eoiAJZI0nT2i147rCzcO/oA7H07qe17ZZ9piH3nn8bVxiJRc8HI17wsYfgu+U6KJGLlhiOw6T/3orya/9gcGUkGZ4Fc/SrbwCgND8hcVCoiJDUoI1AyxlHbUwJGWpiQDf+LAXDNgP1yol/wf9OvhgBb/RkHsOyqLzoTCxY9CJso0sMrK63vW6/FCyvtvSWBAFvnHmVwRURQsjuWXOinV5kSULDzxux/vWPAQBCklcQ9xUqEoOZESrKHjtKW5bqByE4ajbDecWVKPhpJXJffBnmffaJHUkCQFqzAsG/XwHfSQcg/J87odTVJHiwEcjhjLvZ3zM4pOtUhFD8EXFOa4JujzT+jJDUI4YRuvqc6IiGLBdKrvurwUWR3dKFlftobkgIyUCcJXaEL4WKRq5PrvgXGlZt1NadJ50Ay9w5fdyDDJeYkCmTeD+S2UKvv4LOi/8Y041v7G2XYdy918d06yOpy5SXrV/dYFQdhKQ6fve7EEKGwRYABwFAzjjqVETIUNMHiaRQZpy07bbhjY+x4Y2Pse/Fv8Nh/7pC+1qzZ03Fgm9fwKKDfwfftmqDqwRy5s9A6a+O0NZ/eOhFiP74Jy0JISRZttxsVBw4B4osQwyFIYUFSJGPiqKoYysUJbIsq8ty/9Yd+dGDDf5mL2qWrtDWB6tTkaIAsiAM7ItPMdljo52KpB3bB/w4/KRJcF9/A8zzfwGG7/02Vgn4IX7yDoQ3X4K8Zf2AP0+mYxKEioL610McB0b3vakE4j8/2y0WwOYAU1YOZddOwN+l7t9FoaJB4faAnTEfyMoGggFAEgFRVD8CgCRBbvcC3f/efKS7lBACwmFACKtdpsJhIByM/znIyLJxNeSvPgB38DEAgNzTT0LNTf+G5KXuYqlK0YUIOLO5jz0JSV36cXEsl37pOIZl4SjIhaMgB7bcbNiy3TC7HDA7bOCtFjAcp35dDAOW48CwDBiWhaIokMICBH8QofZOBFrb4Wtsga+pFf6mVoQ6uvr8vHyPjpBShrw3IAPz+L6/xlXeZTBFjvGZp01FaNkPBldFYjsVUXhkJBO++gwdZ58K9xMval1/R/31dzDnZWP92ddCod/hKa3HMSb6zyIkAQoVEZIaop2KxlcYWAYhI4T+KoEMvWLg+/uexYonXsM5i15C4T6TAAD20SXY982H8MX04w1v0Tv139GuROEuPz6+/F8GVkMIySTW7CxctPlj2LKzhvxzWdyxAQ1RSrZTUfy3Y2IwczotZ+tG+wobkr/gy/7738NxwR/BlZSAifOcLVdtgfDWSxA+ehPw9X1yhiQOFQX04/Z0o88URYkbSOFYFmaPB9yBR6knziZMBTraIK36AfB19tqf9JPTDf6iG8HtfxhgtsT9nh+o6JXUCiArgCKrH6GGLLXXhoy6Sd0W2ad7WVuXAVmOhC5lQJIBUYiEmEJQQkF1OTIGQHvs7seRREAQoYhhQBAAIQxFFCJBKDUQpWihqEgwShLVx+t+DEANVnmbgfpd0XAV6ZNw1w1gIz+3rNUCz9GHouWFN4wuiySgv+Kds5j62JOQ1NU9EgaA1qk41XAWMxz5ObDn58Cel60u52Vrf/Qj3AaLGArD39wGf1NrTNjI1+RFoMULs8MWs78sJPc+g2QWMRhE0NsOU7E6upQxpebP0ohD08+IjrhiOdpOPgael98CY1NH2Bb+9jiYcj1Yc/JfIfn8BldIEpFjL3TONaoOQlIdvfogJDXoQkU0/oyQodaxs05bdhZm7uvEcJcfj0w/Hie/fA+m/OZoAEDW3hPhnDAGXRu3GVZX8QmHIXe/mdr659fdHT3pRAghe6hy4S+GJVAEAHyPsQQChYpicBYz3KWF2rqwcmW/7scWFsJ9w42wHn44GEvvMaWKKED85lOIb74IacWyQas34zEMGJc77k1+faciU+z3NVM+PrIUCZfIEuw2G7j9D9dGzzEMA2Rlg9t/Ibh95kJevhjy5nVQAn6gqx1Mdh5gMkPxdarjfMwWMK4sMG4PYLOrIe9AAEqgSx23JoiAKKhXdHaHVQRdAEUIq7cpsvp4shT5KEeXFQUQu0MqkWBKkiMKh01BMUxX3AZ2+rxe4/wGSzSgxAAcEPlrzx5zjx9h8KgBuDCUhl2QPnkL0hvPUoemeIIBKNVVYMorAQDuQ/ajUFEKU3S/s6hTEUlXMZ2K+D1/7hkIs9MBq8cFa3YWbDnRP91Bop4BnuHAW8xwlxbAXVrQ6zYxFAZrjgYJZVGMCWeRkcnssGvLUqvXwEqIxuALNknqkbdtQevRByP7zY/AetQu1zlHHIDpnz+DVcdeAKGZfnZTkW/9VuRHV6cbVwkhqY1CRYSkhs3dC9ljR6lX+9KbRUKGTOvWHdqysyi/jz0zw2unXopJJy4EFzko5Z42wbBQEWMyYeodV2jrXfVNWPbAc4bUQgjJTJ4x0XFb3WMHGJYBw7BxrjJm+n1WvGfHEEVR0Fa1K2bbYI0/y5RQkae8VAtIKIqC8MoVfe5vOfoYuC65BPz4CfG7EjXWQ3j7ZYjvvQqlpWlIas5oriyAjf8916EbccY4XNFlhgHj7h3Sc+Tna23d9RiGAdwecAcfo41YSjVKz4P/+i466kLkqmP9R32nnWinntg/ktpVRAs4STFdfSDLaniKAbRfPDyvBq6c7oRdieTmJoBlAY4DWHWsChhGXbZa495nJGIYBrBYwIweC/a8y8CfewmUXdWQPnsb0v+epICRjvzzMrCRUJF1QqXB1ZC+6Mef8VYKFZH0pB95Jif5Wrkni9uJrPJSuIrzYc/PgS3bDVuuBxa3EyabFQzLQJEVCIEgxEAQnNkMzmLqdSFAquMtZrjLS7R1RVEw7qgF2LloOcKdPgMrI0Yxu50w2aPhN8VH3wcpgc7fkHiam+A9YgE8b34ErqQUAOCeuzdmfvsSVh5xDkI7aw0ukPTU9XNMV+1pRtVBSKqjUBEhqUHrVMRbzMgaXYK27TVG1kNIRmveUKUt2/OywZpMkEfQbGM5YNxJlTF/PBXOCWMAqAfG3r3gRsNqIYRkJk9FNFRUv2Id/jvrpEF9/NzJlZh/2dnRMTwRiqJQqKgHT0VpdEWSgGCc5x+PB1nXXgfrsceBdTjiPo64bBGEt16CtPgL9XHIgDDZibszdvp1rdgTdDPSc7miwSO5vQ1S1TZwEyaCtcf/P0wlvcI7gzhibCg698gd7Wg//vD4N7IsYLFGg0sAwHFgeF4NkPE8GI5TA0m8SQ2CWa1gLFa1C5jJrH79PAeG46OhKYZR7xP5w3A8wLEAx4OJfATLqo/PcgDPqd2nrDYwVvUjLJHAU/e/b+Qjw7EAb4rWyZvUx+F5wGSKbFO3xyxzrPovrH88jgVjin+imGFYMGXlYM/6K/jf/QXKto0QX38a8qdvD9L/TPpSarZry6aCPOMKIbul6N6jcmYaf0aGn7O4AO7SQtjzsmGyW9XnFEWBEhmBqchxlrXb1Y+cLtDjLPQYuZwAACAASURBVC7AqF+oXYsVXWBXiTz/KLKi3R+KApbnYfW44CotRO74ctjzsndbM8MyMDtshnQfGkz6UXGKrGDS8Ydi4nGHoO6ntdj+1TK0btnRx71Jpjnrq+diOn2FN2w0sBqi0V+sMIjvKUgG8PvQdtSByHr1PfATJgEA7BPHYNbil/HzkefCt3bzbh6ADKeulev1qxMAZAOgtlKE9EChIkJSgx9ADYAyQB2BRqEiQoZO4+rYN9/Owlx01NQbVM3wYHXz1v268W/DyeRxY/JNF2rrzeu3YtO7XxhSCyEkc3nGRIMs3m2D/3qKN/Fxgy2SnHzYxcQnGn8Wjrs93ehDRYo/9mpay2EL4brscvCTJ8ft0KJ0tOH/2TvP8Diqsw3fMzvbV12WLVuW5W6MTbFNN92U0OIQeuiEkgAhCS0hCTEtgZBCS4CQjxIIJRBaSCih926McS9ykdXranuZ+X6stDsr7cqqO7vSua9L2jPnTHm3zsw5z3ne8H+fI/zCE2jbt4x0qGMCqTD1QJwvGCQSTcyylSzJKefU1pbulriQwxmNEK2rRW1tIbpubSwl3YZ1SIoZrdONstseyGXju0Qs9ljas1AIye4AWUYLh9F83tgs60AATVNjQhe7o0tgYooJV7rFJiZTl6DFBGYlrZAkl1HdbgL/eBj/Px7B9etbsB5xNADKtBk4b74d7y+vTrGRCn5fr2otTXlUYrEg5Rcgl41HmTELy5KjMO9/UFLqREmWkWbsguXa29CuvBmtdjvalvWo9Tt6p61Q1a60eipo0dhjX7PQ5V4F/c4gqnW5VkWThF8oli4HKhkkU+wxSZbWw0FLlz4ovq7J1OV+lXDi09RuZ63udIV6AWysTt5t7x77EmQrWjiR/kxJkQ5UIBhuJFmmbP4sJu01n3FzZ2B2DN0RT9aJ6KsO2ZviaRV9rC3oRv+6dbvZS7LExEXzmLhoHp21jWx55zNqPv6KaHB03DsI0jNh9znxsv/td4lsMsZ9XNADkf5M0BeqSsd3jyHvgUex7HsAANZJ49nz3X+w8vhL6PjwS4MDFHQT7D0uVI4QFQkEvRCiIoEge9hAl6ioZOYUNv/vA4PDEQhGLyGPD01V4ylZXOXjRrWoyDWxLGnANlBvTMqY2b+4BEtJbEBT0zSePuUKQ+IQCASjG71TUfPa4e9sVeypB1cG6lIEY8upSG1phbw88q/5GfalS5F1Tjd6oqtXEH7+CSJv/BeCIl3RcJLOqcjt8ydX6D6X4fXr0NwdvbaxmyRCHa3JlZpGZNVKAk9mKK2p1J0GrEtgIXeVpVi6Q2Q5kTas2xWnW5zULVrS18tyTJxhij3Gt+/6k3T7wqQgmVO46XSVJbM5sU9Zjrn5dLk7xP8ALRJBbW0h8s3XRFZ9DcHYd7/z5z9FHjcO8x4LAbCecCLBfz1JZPkXmXltc4lQCK25iWhzE9HV3xB88VlwOLEceAiWo47FcvChSUI5STEjVU6Dymmk/gUeW0Q7Oo0OQdAHeqcixSZERYKRQ1YUphy8F9OPOABbYeprtLGOqqr4ggH8wQCBUIhgOEwkGiHa7c6kaajdrktdwlDFpGA1m7Fbbbjsdpw2R9pJBT1JFhX1Fi7kTSxj/unHssuJR/D1Yy9S+9nKYXmeguxj3LxZ8f5LgOarru1zfWXKFJSKSQQ++xxCQnA2kvRKqywQpKDzwrNw/vaPWI/9NpIkYS4qYPf/PcSqU66g5T9vGx2eABj33aP0iz5iY7UCgaAHQlQkEGQPG4BDAYpnVhkbiUAwBoiGIyhdNtzOsvTpQEYDc3UXxhGPl1BLe8ZjcEytYNrlZ8WXN732AU2rNvaxhUAgEAwCSUoSstR9uWrYD5FuUC8ciaSs7wuzKZ1T0egQFRXo3gtl6lQmrFiZ1CHejebzEHnt34RfeBJ1w5pe7YLhIZ2oqEOf+sxiSX6PAv7eGwD5jtQpRdS2lpT1I4Kmc2Lp2ZRq9ZGPaPgIBOj86WUUvfQ6ksOJJEnYzjwPjxAV9Q+fl9Cr/yH06n+Q8vOxHHkM1uO+g3nhXkZHlnVE3UJUlM1oumsL2SK6cAUjw/jdZjPvtGOxFxcYHYrhRFUVX8CPNxDAG/DhCwTwBvx4/D48fh/qMAgILGYzLpsdp82Os0to5LTZcdnt2PQiWJ2TnNaHY55iteCpbx5yXILspWTW1KRlrY9zt/3IIyh78H4kRSG8bRtNF1xCaOU3Ix3iGCan7jAEBuL9+U/RGhuwnXcRkiRhstuY99yfWXfhL6l/5DmjwxvTFB99ELPuXaavehUIp15bIBjbiDtSgSB7iKtfi2dOMTIOgWBMoIbD0CUqsuY5DY5mZJl/xvHxcsuHy/tO4TBC7HrrVZisiVQlFqeds/73UJebgNSVUSXmONA9mKlGIkT8IcI+P8GOTrxNrXTWNtJWvZ2mVZtor96e8echEAiyG2dZSVwwClDzyYphP0Y6UdHgnIpGr6hIcdiZf/pxSXU9BUXRdasIv/Akkf+9BP7k9GiC4UcqLE5Z36l3KsorjBe1cBgtzezmfHtqUZHWmkFR0ShHbWwg9O7bWI8+Fkifvk7QN5rbTfCZJwk+8yTy+AmY99kfZf7uyFXTkPNTDKB3u191u16ZTCSnJUt5lNj/HoPNUldqsoSLVmyfRCMQVdG6U6L1TFPW7TDa8zF+ON36mho7vH5bCeLpCvX76PpTZs6O78q/RkzCzWp0HylJEqnqsoXudIO5jmw2M//0Y5m8/55Gh5IxVFUlEArhCwbwBfz4gjHRkDfgxxcI4MuAS2YoHKY1HKa1092rzSTL5DtclBQUsOuEIipUFVmW+0yx1La5Bvd2Y1LcCzLDxlfeTXJbL/jJ5bTdcEuv9SS7jZLf/SbmnAmYKysZ//QT7Nj/INRWkcVnREjhIiYQpMP3p9uINjfhvPoXSJKErCjs8tCtWMaXsu13Dxgd3pik7LRj2eXvv0NOuAj6gWsMDEkgyGqEqEggyB7ivXklQlQkEIw40VBi1qfF5RjcTiQJk1nBZLFgslowWczxP6XHcv/aLcltXY+yWcFkVpAVE7LZjKyYupYVXVusLCsmZCWxvslixjVhXDzk+pfeHuIrN3Cc0yupOOVbSXWVixcOeb+aphHxB/C1dODeXkfLumrqlq9m63uf0/CVcLoQCMYieRPL4mVN0/DUNg77MdKdM0KRgU9kMiujL/1Z5eJFHH7rlVTsu0fKdi3gJ/L6S4RfeAp1zdcZjm5sk05UpHcqklyueFlL41KkmGQc1tTiOrW1NWW9YHAkvR9t4rUdKmpDPcEXn42lSBvDFH+1oUssBZ3vfGRwNII+0U0G0buWCDJPNJS4zkvluphr2Arz2fuyM8mvGD/yB9NrsIYpVZA34KfT58Ub8OMPBvEHAwTDYVRNRZZkLGYzJllGVVXC0QihcARf0E8gy1NBRVWVNo+bNo+bxk+irO1oYNasWUwtr0i7zZZ3Ps1ghAIjiPj81HzyNZP3i91fFfzgYrzPvUjo6+SUd45jj0GZkPydNhUWUPqn39Pys18QravPWMxjBv3Eop4icIEgBcFHH0RrasR12x3x64npt16FZUIpG6+8ddjOk4KdIElM+fnFTL3xCv11nQc4BRCpFQSCNAhRkUCQPcRFRYVTK5BMJrRBzHgXCAT9Q98pe/wDNzPtyMU4xxVhzXdhdthRbDGnC02LOeakFAJZLOl2n5Vo0Si1z7ya8eOa0qRIGSqSJGF22Clw2CmYPIHJ++/JHuedCMTEBCGPD099Ey3rt1L3xTdseedTtr37OeogUhQJBILcQC8q0g/+DCcWZ+rftFB4MKKiNE5F/twSFckWC4dcfykLLjoFR2lRzJ2jB1qnm9ADdxB+7QXwiHQ7GSevID5ruSduvVORLfH5TicqyrfbU77HAKpwKhpedJ3Kpjm7GhiIYLQgl0+MC4oAOt/9xMBoBDtDn/5MsZgNjEQwmkRF9pIi9r/yvH6nO1NVlU6/D38wiKqqXaZnMcdhCalrWe4ySuuq764D2tvbMSkKkiTR6fXg8cfEzN3XElKX6qh7v3TvEwlV0whHwviCAdxeDy3uDprd7YO67s41ZFkiEAjw9ddf8/mHHxHdXM/0iRVMKC6Nv3Yhr5+6L4Y/3bMg+/jniZfxk5p3kLvO4bYD9ksSFUkuF8XLfplyW8dRR2A/+EDabr0d933CDWU40UT/omAQhF55CXdLM/n3P4Jkjl3fTf7xuVjGl7LmvJ+hjVBfliCGraqC2fcuo/ioA/XVzcCRwHJjohIIcgMhKhIIsofNxMytJZPZTGHVJNo2bTM6JoFg1JBfMYG9f3QWs084jKKpkzH16JTd9eSjDYosczS9/SmBuuF37dgZ7pXr+Ox7VzHhmINj6R+6B8i0rjQRuj9NVeM2/5JiQrZZURw2lHwX5sJ8LMUFWMuKkXci6JIkCWueE2uek5KZVcw69mAO5tKYu1EghK+phbbN22lYuZ4dH6+g+s2P8dQ3jfArIRAIRhq9qCjsSy2IGCo9zx/x4w2iQ9GipP4tC3bmRiqw8gVzOeL31zLlwL2Q07gudeNduhgykFJCkBq5tCxtm1vvVGTWfSb9qb9DeWlSn6FpaO0itcJwEtm0AcuBhwCgTKmi8PUPaT/leBDiLcEgUXum2xGz6rMa/aCSPpW0IPOo4cR1npzDrlEWl5P9fnLOTgVFkWiUmqZ6apoaaXa3ow4hhfo6RySWwgto+Hodgfbeab8EvdGL1zRVo7G9lcb2VhxWG1UTJlI1YRI1738hJk2NETz1TfhbO3COizmPdqcotu6zN45vHYXrxG9jKi2NtWka/730Ro7608/jqcElm43iZb8i+OVXBD/9zJgnMRoRE8IFgyTy2ce0n3I8hY8/h9R1fz3+9OMwjyvmm+9eRjQH+oQkixnZZiXq9hgdSr8w5buY9pufMvHCU5DNSf16m4DjgLXGRCYQ5A5CVCQQZA8BYBswBaBkVpUQFQkEQ0Rx2DnsxiuYf9YJOMcVp51VP9xocdGMXiyjgaqidf0RVdGiUbRI918k9hgOo4UjaOEIajiMFgrFyqFIbJ1wGC0cRQ2F0ELhrrbYOlowTDQUQguFUIMhHLvOovzc78bj2v7oCxl5/qmoefzf1Dz+72Hbn6W4EMfUCpwzKnHNrMI1oxLnjCm4Zk7BWlaSdjtJkjDbrRRUTqSgciJVh+wDl58FgBqNEur00lnXROuGrdR/tYbtHy5n6zufEQmIgXCBIBfQi4oC7SPjhtOj8yGOqg18sEUx5WD6M1lm8c8uYu9Lv4erfFzKc2vzumo89U1UHbw3AGpbixAUGYyURlTk8QcIR3Sd4boBLDXNuS/fkToFoNbWKuzahxn/Qw9gPeYETGWxVBam8RMoeulN2g7ZC7I8hYsgS/Ekd/rLdptBgQj6g94BIZ2oWZAZtNFwfpMkFl58Ko7SorSrqKrK5rodrN1ePWxuQMnZz0bB65gp9KIi3evmCwZYvXUza7dtwfaOMFQYS+gncZiKixn/1D+wH3xgr/XqvlzF5/c+ztePPs9xf72JXU85Ji6GLPjBRTR++hmS3YbrjNOx7bWQaFsb/rfexf/Gm0IkM0CEU5FgKKgb19N6zCEUPfcKcmHs3Fy8ZH/2fOtRvj72IkINzQZHmBr79EoqfnIu5eeeiKSYWHP2NTT+82Wjw+oT155zmf/CvdgqJvRsehE4DxC5xgWCfiBERQJBdrGBLlFR8YwpBociEOQupbtM55h7rmfKwXv3OYsw6vMT7fQSbmghWNtAuKmVUEMzUY+XqNcHqgayhKwoqP4AUX8g9uj1o/r8RL1+oh4fqtdP1Osj6vGienxpj5dJ7HOmM/WWq+LLnk3b2P74SwZGNLyEWtsJtbbT/sU3vdrMRQXkzZlG3i7TyZs7Pfa4y3QcUyb2aVUvm0zYCvOxFeYzbpfpzD7hMCDWgRcNh/G3dNCxrY7m1RvZ8dlKqt/8iJZ11SP2HAUCwcDRi4p8TdnfJ5BO7NrfdBSZZPxuc1jyu6uZeti+mMy9byOj4TBrnv0fX9z3JFve/oRj/rIsLirS6mszHa6gB1JJalFRm0c3A9JkSnYtCaYWtxWkERWpbdn/ncs1tJZmOs48CdcNt2LZ7wAA5Lw88u64j84fnm9wdIJsRp4xC8elP0bZbU/k0nGx73YoCFLytXDULdJRZjNJTkVCVCQYItOPXEzJzPR9jb5AgE/XrqS1p6PZsCJERf1FlhPXZJra+3WzdPiJtHZkMiSBwYQ8fuxFsfvEwit/nHIdT0MzTxx3Sdf6Pp4940pa1lVzyLLLAbAfcTim8eMZ//TjWGbNjG+Xf945hNaspfGcC4hs2z7Cz2QUoRNhZWoiq2CU0dxE2xEHUvjCK5gmVgCQt2BXFnzwJCuOvgD/xq0GB5ggf789qbzyfEqXLknqX5/1l2W0vvo+kY7svK9wzJ3Bnm89ipLv0ldvAZYBfyf1xYkMzARKuspbgZo06woEYwYhKhIIsosNwBKA4umVBociEOQeJbOn8p1Hb2fionkpb+bCzW20vfYeba++R8f7nxPcusOAKEcW2eVg6q3XUH7hqUg6B4yVP/4N2jDNNMx2wm0dtH60nNaPkmftmew2XLOnxkVGeXOm4Zw5BdesKhRHmlQuxDoGFIuFvPJx5JWPo2Kf3djjvBMB0FSVkNePt7GF9i07aPxmA7Wffk3125/gqc18qjmBYKyjFxV11jZk+OgD70RM526k2KxDDWZYkBWF/a/5Pnv98AzyJpalPLe2Vdfwxf1P8tVDz+JtTKRkKp6RuJbV6kff+TbXSOdU1ObVuZY4XPH3WFPVeFqFnhQ6nSnr1ZbsnEmZ66i1O3BffA6u3/wB23HfBsC832KDoxJkLbJM3t0PYD7wkN6/2dZkVyL3Ox8TaRKp9LIZVXf/pthE+jND0Tvs5ODAsb24kNnHH5q2vdXdwYerVwybO1FaxFBc/9GLQFM4PMnrahl8UjpBLtK0eiMFk3u5bBBod7P59Y/47N7H2fLmx73a37vlPg7+9WVIkoSkKIz7271JgqJuLLvMofg3N9J45nkjEv9opJdTkc0GwulcMFACPtq/dQgFTzyPMnceAPZpk1nw/hN8fexFdKaYUJsxZJnSbx9O5ZXnU7D/gpSrmIsLmfzT86j+9V0ZDq5/VP3qUr2gKEJMTHQ7EAIswJ7AQmAaUApUAHsQExTpqSPmbPRbYiIjgWDMIURFAkF2ET8Z5ae4SRAIBKlRHHZOfuoOZh57cK/OczUQpOmZV2h45F90vPvZqLXydcydwYy/3ED+/gt7ufGs/uUd1L/0lkGRZQ9Rf4COr9bQ8dWa5AZJwj5pPK5ZVbhmT4s9zqrCNXsqzqpJSeKsnkiyjDXPiTXPSfH0SqYdvl+8TY2qhL0+vI0ttFXX0PjNBnZ8soKt73yGp75ppJ6mQDCmcZWPi5fbt4yMO46tMC9lvTaI9GdSGiFSoG0kZ4jvnPF77MKRt19D1SF7Iyu9bxnVaJT1/36Lz+97kk2vvZ9yoCNfZyutNginIqORSsalrG/XORVJjoRYSAuF0qYyK3KlERU1CjHtiKGq+P50W1xUJCkKprnziK42sINZkJUUPPk8yi7zdrpex6tvU/2DazMQkWAoaOHEYKWsCKciI8n1tF0zvnVQUuokPe0eN+9/s5zIiPWV6Bx3cvx1zCSS3qmox32GElYJr98+iCkNglzm6VOu4IpNr8dTGKrRKF/+7Wn+c8mv+9xOjUTo3NEQvz+z7bUo3uZraUexWbE4YxPtrAsXjlD0oxOth7OrXFCEGqgzKBpBTqOqdJx6Aq67H8B6yOEAWMpK2OOtv7PmzKtpfvGNjIYjO+yUn/sdKn58Lo4UGVW0UAhkGamrv2jS5Wex7fb/I6p3Qs4Sipfsp19UgF2BJ4DJXeXUVsy9KQcuBs4GrgPuRMilBWMMISoSCLKLbd2FgsqJRsYhEOQMu529lOPuvxFzD1eHUGMLtff8nbr7nyTS0mZQdJlh8nU/YMoNP+4lqIoGgnxz1W1s/vM/DIosR9A0/DX1+Gvqaeoxq0u2mHHOmELe7Km4uv66y5biwj53K5tkrPkurPkuimdMYfoRB8Tb1KhKyOONCY4219C0eiO1n61kyzufCocjgWAI6J2KWjdsGZFjFE5JfY0WHMTMbiWNaDHQnnlRkawoLP75RSz6wem4JoxL6UrUvnUHy//2DMsf+hedO/p2gnKOK46XhVORweQXIllSO1wkpT+z6Vz70qQ+c1qtWFIIzQDUpky7g41t1CYhUBYkYzn6uCRBUbiphZZ/PEvne58QbmzGWjUZ2W7D+/kKAus2GRipoL/oHRDSCUIEgp1hcTmp2Hf3lG2hcJiPV68cQUERyWaeYuit/0h6UVFyk2VbCz38UQRjgJDbw+3j9qVivz2xF+Wz6fWPUNM4i/bknRv/wvF/vbFX/dvX34kl38WS314JgObJzvRF2YpckEhbrmkaaou4PhcMDc/lF6L+6iZsJ58Rc853OZn//F/Y+rsHqP7lHb3dsYYZy/hSJl12JpMuOQ1zSVGvdtXtxvfIQ3jvuRO5bDyl736IJEmYC/OZcO532HHPYyMa32AIt7T3fC6n92c7LRol1NiCZDJhKUsyLbIDfwIOBU4FhD2ZYMwgREUCQXahExWVGxmHQJD9yDKnv3gfM485KGngM9zazvZb76PuvidQfX4DA8wM0+9ZRvnFpye9BhGfnx1P/pcNv/8/OteIAYOhoIbCdK7eSOfqjb3aLKVF5HU5GzlnTsE1cwqumVU4Z1SiOPue5CCbZGwFedgK8iiZWcWMoxJpTGKCIx++ppjDUdOqmOBIpFQTCPpGMplwjS+NLzel+N4OFZM1feoRj983oH2ZTQpyD2e5bsK+zPVJlC+axxG3Xc2UgxaldiWKRFj377f48oF/sunV99HU/jkyWfITbjZqnRAVGYmcxqUIoN2rExVZEwJtLZT6M1iYxqUIQG0S56iRROvsRAuHkcwxtxL7RT/Ed0vfM9MFYwubLl2Jb9U61h15GlGdSNX35UojwhIMBd3AkckinIoMJUnUkVv+MJUHLsRkTj0E8M2WjfiCYiwsp9A0Il9XGx2FwEBqPlo+4G2+fOAp5p58VNJkN03TWPXPlznwFz+I10VbR/ekzOHGPCWR8hs1mnTeFggGi++mX6HW1eL40VXx/v4p11xI0WH7sfa8n+FdtWHYj+nYZTqTf3oeE878NnKPfi9N01Bra+m88w8En3s2Xq/W1xH5ZiXm+bsBUHnVBdTe/xTaSKdSHSDb//Qws++9IW17NBDE8+UqvKs2EGpoIVjXRGDTNjo+/oqoO5Yu3lxSxLjvHsnUG6/QC4xOAB4lJiwSGUkFYwIhKhIIsou4qMhZVoJitxHxi5t7gaAnjrISLv7yOfInjU+qr7vvcbZcfweR1naDIsss4y88NUlQFPH6WHfLfVTf9yThtg6Doxv9hJrbaGn+gpYPvujVZptYFhcYuWZW4Zo5JSY8mjEFk93W535jgiMXtoLeDkeaGhMceZta2fHJ12z47zu0btxK26Zt+JpF549gbJM3sSwp/WP91+uH/RgFk9OLvtu9A5vVabem/y0IdnVcjBSyxcKB113MootPxTm+NLUr0ZYavnzgaZY/9CyeuoGLRUzmxOCnJtKfGYpUWpay3uMPEI4knAkk3XtGILVTUZEztahI6+yEgLhvGUk0n5fQ669g/dbxANhOPROt043/rj8YHJkgWzBNTgxstf7zxSRBkSA30XS/0cKpyFhyOW3XxEXzU9Z7/D621otrtKEiEUuLLgGyJMcMhiQJTdUIR4dfYGBv8RHN4AQEwejhsSPP56Sn7mCXE49E0zS+euhf+JrbCHsTEzIlu72PPQh6Yp49K17WOoXLk2D4CPztXqLr1pJ3x1+QLLHJP/mL5rHoi2fZ9vv/Y+tv7h+WydQFBy6i8urvU3rcob3aNE0jsnoV7puWEfni85Tbu2/4NcVPP4skSdgqJ1J26jE0PPbCkOMaTmrvfxLvqg249pyLku8CTUMLRwg1tuBbV41n+WrUYN+ub+GWNmr/+hRN/3qNXR65jZJjDu5uOgn4JdDbCk4gGIUIUZFAkF3UAVHABLGBq5b1YvaJQKBn4l7zOfftRzE7Eje6gW21rD/3ajre/czAyDKL7HIw8+5l8YHgYGMLHxx1AR1frTE4MgFAoLaRQG0jze98mtwgSXHBkWtGJc7uxxlTYg5Hjr47cCRZl1JteiXzzzguccyOTto2baNt83baNtfQXl1DW3UNbZu307F1B9FQds0UEQiGm8KqSfGyGlUJjIDANL9iQsr6UDiMb4CCCleaDltN1fCPkDB08gELOOzmH1O5eFHKwUk1EmHdi2/yxf1Psfn1D/vtStSTcbvOSBIqqSL9maFIJalFRa2eHuI1U6J7QEuTSqEwjahIuBRlBu+dv8dy8OFIDgeSJOG48FLMC/fGfc6pRocmyAKkwoStv++rVQZGIhg2dGlS1cgIpqcS7BRJzs0cXpY8J/mTUl8HbK6ryfgz0bTcm8hvURScNgcOmw2X3UG+w4nTZsdmsWIxm9OmMwZQVRVfMIDH78cb8OEN+PH6/Xj8PrzBAGof19pJmn+9qG3N9mF4VoKxyjOn/rhXXcmsqng5Wi/SGQ8E2/77xcvRbVsNjEQwGgm/9xatSw6g4OGnUKZNB2ITxKqu+wHl55xI9bK7qH/k+YGnRJNlxn3nCCqvuoD8fXqnR9WiUULvv4v7179E3dF3X05kxXKiW6pRpk4DoOLS72WdqAig4/0v6Hi/96TggRJuaWPl0h8y/4V7KfnWQd3Vy4APgDeGfACBIMsRoiKBILuIADXAFIilQBOiIoEgwR7nn8Txf70J2ZRwomh9+R3WnX0VkTHmzDPh3O8idQ0Iq+EwH3/nMiEoygU0jcCOBgI7Gmh+e+EJjAAAIABJREFU+5PkNknCVj4uyeHIOaMSV7fgaCcp1WwFeZQv2JXyBbv2Pqyq4t7RQNumbbRu2ErLhq00fL2O+uWr8Ta2DOczFAgMQy8qivhHJv1lXg+HvG46BuhSBFDoyktZ721qTR44GAKyojDvjOPY/eylVOyzOxZX6t+Rts3b+fKBf/LVw8/hqW8a8nEn7bNHvKx1usEjZm0aSTqnoqTUZ12z6rvR0qRCSS8qEgMQmUCt2Y77Jz8k/877kGwxtzPzgr3Iu+9hOi8519jgBMaj+w6HauoMDEQwXEi6lFXRsEipYiS2gsR1m5pD70XR1Iq0bTuMEARnoeOTBNhtNlw2O06bA6fdjtNmx2mz4bQ5MKdID9xfZFnGZXfgsjuAkqQ2TdMIhIJ4AzGRUbunk9qWJgJdwm5JkpPWBbAEokS3CSG3YHgpmDIxXpZ30u8kSCDl5WE/+MD4cuiNVw2MRjBqaWul49tHYL/kcuyXXI7UNRHIOmk8cx64hSnX/YDtf3yQ+oefI+r19bkr2WZlwrknMvmn5+GYMaVXuxYI4H/+WTp/ezP4+t6XHs8ff0/h3X8BIH+f3XHMnYFv9cYBPMncQotEWHX6T1j0+bPdr6NELA3afEB0sgtGNUJUJBBkH9voFhXpLuoFgrHOUX+6jn2uODvJ+aDmjoeovuY2GKSTQi5TsvSIeLnpzY9p/fBLA6MRDAualt7hCLCVl+GcOYW5N11B6UF76TbTUqYu0iPJMgWTyymYXE7VIfsktXkbW2heV03rxq10bK2lc0cD3qZW/K0dBN0egh0efC1thDq9afYuyGZkRcFWXICsmDApCordhtluxWQxIysKslmJ2fXrPkKaqqFGo6iRKGo4ghqJxMrddd3LSeXYoxaNomkxIZumqhkdOCisSgya+FpGRmjaM+1mNx3egX8/Cl35KevdNfUD3heAYrMx9bB9mHLI3lTsuwelc6bhKC1K+/sQDYdZ+/wbfPnXp9j8xkfD+l5NPWzfeFndLgTyRiOVjEtZ36b/Xbc5kj8r6dKfudKJioYuRhP0j/AH79J+8nHk/ekvKDNiKRfM+x+I+eDDCL/zpsHRCQxFVePONpZJEwisHb2d+WMG3X2ufmKNIPOUzU+kuPG35U5qwXSCeI/fhz+U+lw/kozUrYFiMuGw2jErJiLRKOFoBE2N3ScrJgWTLGNWFFx2B06bDbvVhs1ixWG1YbNYkOXMf78kScJujcVSWhBzmttt2ixqW5qortuRbFXU9cIpmxvJHUmbIFdo37KDSXvvBoB14QIKfvIjOu68Z0z2tQ4E+2GHIFljaak0VSXw2EPGBiQY1fjvuxv/U/8g/877UfZYEL93t0+tYNbd1zPt5p/Q8MRL1D/yHO5PViRtqxQXUnHp95h06fewlJX02rfa3o73/x7Ad9+fBxVb8JX/ovp8yI6YKHH8acdSff2dg9pXrhB1e1h1yhUs/OifyFYLQDlwE/BDYyMTCEYWISoSCLKPbd2FgkohKhIIAM74zwPMPCZuKYkaCrHx0mU0PPSMgVEZi7WiPF5u//wbAyMRZIpAXSOBukYa//dhXFTUvrWWO6sOpWh6JZWLFzJx0TxKZk+loLIcZ1kJ1jwnksnUp+jIWVaCs6yEKQcu6vP40VAIf2sHvpb2mOCoozMmOnJ7ux4Tf6HO3nVBt5eQ15eVs1NHAtliwVaYh60gD2ueA2u+C7PLgTXPhcVpx+JyojhsWFwOzHYbZoetS/BjQ7FZUexWFJsFxRoTAJmsZkwWC7KiYDLHxECyYkI2ybH3WJaRZAlJij12d0LvTHCWCboFRrE/LfaoaYlyl/hI0zTQumbidi3H2pLrkh+JPaoqxbqZVoVTJnLh5/+KHSMajR8veb9aXACVtE9VX1YTcakqZfNnxV5frfujHPs8133yMSXm7i5+3Wdc01BsVmSzOdHWtd3eJy3FYbcnPw9No2L/PZl3+rExcVckGoshGnud1GgUNA2TxYIlz4GjpBB7SRG2onwUq6Vf73fzumq+euhffPXwc3gbmof8/qaidM7UeFnduHZEjiHoJ/mFSBZLyqY2vRjO5YoXtXAITe2dZsdptWJJM1tfOBVllmj1ZjrOPZ2SLgt3SZIwL9xbiIrGOsEgdHXmK8VFO1lZkAuoOoGnYrcaGMnYxmS1MP+M4+PLtZ+tNDCageGakFpY7B6EIH5QyHLS9elgU+vqsVksFLryKMkvpLSgkHyHa0huQtmELMtUjBtPxbjxlB2yiO0tjaxfvx5N1ZBVjcg3QqwvGH5eueIW5ixdgskSu2ctuvYqLLNn0XTJZQZHlt24TlwaL6s7tkOa9NECwbDR1or77JMxzd8T129uxzRlavwcqxTkMemS05l0yen4t9TQ/OKbeFeuw7XnXMrP+Q6mHi5kmqah1u6g84+3E3xx6OnKQh9/iO2wJQCUHHfoqBcVAXi+WkP19Xcy/baru6suBh4EPjcuKoFgZBkdV9wCwehCJyoq72s9gWDUY3E5uHj580kDxeGWNtacfBkd735mYGTGIzvt8XKopd3ASASZxjahNF72t7QB0LZpG22btrHiked6ra/YbFTsuxuT9t2DCbvPoXjmFAoml2MvKRrQjGeTxYJrwri0HdP9QVNVgukER73qPEmiJVthHv42N521jXTuaEDtZ85wR2kRBVWTKKichK3Aiax0C3TMKDYrFocdxRET9Zgd9rjIx+JyYHbYMFmtmCxKTNhjNuvEPCZkxdQl6JG63H6yS8yTLcQET5mf/Ttx4byMHSuy8ktc43vP+EqHzWZjXOWklG155YP/jqUiGg6z45Ov2fjyu6x78U0av1k/rPtPRd7ERLotdce2PtYUjDRymtRnmqbR7vHElyVbopNRC6Z2LihM41IEoBqRQmUsoyg4LvtJfFHTNAL/esrAgARGI1dNA3vi/iDcLJz3RwOqJyH8sIiUNIax/1UXxK9tNE3j7WV3GRxR/3GUphYYdvoHLiqaOmESVRNikx81TUONqeJjgn0NtHg5tqxqKiarhTmHHRZP37WmPUwkkBh4766P7SexrHUtSxKYZBNWsxmbxYrTZscSF+uPboqLipg8ewZ77bUXn77yBh9/uAZPDqXeE+QOnvomnjv7Gr77+B/i9+3OpSfgfflVfC/82+DoshRFwbZ4//iiuA4XZJLoyuV0HL8EZfc9cf7iBkxzdk3qg7RXVTD5R2en3FbTNCLr1uK+4Xoinw/f2Ir/sUfjoqK8PXbBXFZCuHH0349sv+MRys8/CcfsqQAy8DCwCEidT14gyHGEqEggyD6EU5FAAJTuMp0LPvontoLEzHn/pm2sOu77+DdsMS6wLEHWdaRFvH4DIxFkGqtOVOSp3/kNWiQQYMvbn7Ll7d4p1cbtOoPpRyymfOGuFE2vJK+8FGtBPma7VZcWa/jEMZIsYyuIufcMlZ6ONbqjgCTF3GQQ4p6exDvu9a+dznEn9vrFHmMiKX1d1xriNU1C0zRaW1sHtE1xcfGIxKJGIrRu2k7jynXUL19DzcdfUfPxCsK+zJ4nbIUFiZhqt2f02IJk0qU+8wQCRKI6twBbQoygBVL3fxU5U4uKtM5OSLONYASw2Sh85CmUXefHq9SGetStwr1grGI77yIcV1wdPz+r4TD+r9cYHJVgOFD9id9WkzW165xgZHGVl7H4ZxfGl+u+XEXTqtxJLWjNS33u9gcHft6eP20mSleKxX4fvyCPGTNmxJc9pV+jhsMDPvZYRFZir7XZbGZ6ZRUffbXZ4IgEo5lVT/2Xmo9XcPHy57AXxe7lCn54iRAVpcEyZzZy172RpmkEnnrM4IgEY5HIiuV0nHICFJfgvOJqrEtPSjuhT1NVQp9+gvtX16FuGf77xtB776BFo0hd1wkFByyg+bn/Dftxsg0tHGbdJdez51uPdlftCtwNXJh+K4EgdxGiIoEg+9jaXSiYIkRFgrHJ/DOOZ+kjt8U7UQA63v2U1SdfTqTLmWXMo3OY0SK9U5QIRi82nVOQu6ZuSPtqWrVxp53issVC0dRJFE6dTMHkcvIrxuOaUIq9qABrYV4snVeeA7PDHkvdZbcm0nOZTDGBzwiIULpdgXJF3qKpKpFgiEggSLTrMRIIJdcFQ0T8wRTrdZe7loOh+Pp9PgZCnPB/t1C5eCEA9R98yYuLTx+eJyTLsbRetliaNpPViuKwIpkUJEWOvfeyHHdzirs6mUzIioxkUkCWkE0ystkcez/jKdwk6ErlFlvH1JU6IXZcuasdXao3SZaRTDKOCeOIhsIQjSKZZCQl5izV/TmUTKYu3ZmUSA0oSUgmWbdOohzftyxhnzAO58RxdAvXAJAkOtxuPN0zsLoFWV0vk7UoP/6SRUNhPA3NgMREWx4NK9fRLd7qfs5qOELtF98gybHXUJKleHq7eKo7SSIaDhPy+Ai0dtBZ10T7lh20rK+mee1mokHjbdcVW2LgU6utMTASgZTGqajNk+xQIOln/adzKkojKhIuRZnFftqZSYIiTdPw/u4mAyMSGIYsk/+3x1AW7ZN0rVV3y13inmmUoL/Pkw1wfRTAAdd8H0uXU5+mqjx1Ym6lA1JsqdPmhfvp+tqN3WIdsKAIwGy3JS2rOdx3EQ1H8DW34W1spbO2AX9LO4EODxF/ADUaTU67HFUxWczYiwtwjCvGOa6467EIe0kR/bk9lnSvt6e+Ce8YcHwQGEvH1h28+P1fceq/Ym5s1t3nYzvoQALvvmdwZNmH7YD94mXN7wOdA6xAkFEUBcte+2CqmpZSUKSpKsH/vUbHL38G7SOb6UBtbMBUHhvPzFu465gQFQG0v/Mp2+98hMlXnNNd9X2gFlhGYganQDAqEKIigSD7SDgVTZ4QG7TSxLlHMHY45i/LWHTJaUkd4/UPPs3GS5ehiRltcTTdoLFZ5+YkGP3onYrat9aO+PHUUIiWddW0rBv8TBaLy0HepPHklY/DOb4UZ1kJjtIiHCWFWAvzsRXmYytwYXE5utKO2TFZLShWCxbX8KR6CHl9hL1+1GgUNRJFDUeIhiNEgyGioXBcvBP2BQj7/LFHr4+wPxhv6xYC6cU+3SKfuOBHLwLSiYSMmpFrdiQ68lu+Xjd8O1ZVIj4/+PwYL2HJDLtcdCqlC+b2qq9pbqRtTYqUYrLMhAMWxM9njd9sINQl5AgqLmr8y3tt0rx2Mx/f8cjwBp5hLPmupHO41j4wFyfB8CKXV6Ss7ykqwpToGtBCqUVFRWnSn6lNDYMLTjAo9IIigNDbbxD+3ysGRSMwDJeLwmdfiXfcA6jBIDt+/Xsa7n7QwMAEw4mmE35IgxB0CIaGyWph93OWxpfXPv867m1Dm9SRafQTtfREVTVlfToGIygCMOvStkdDYdAGdtxME3R78Ta14mtqjQmIdOWge+CigY5tve/XJZMJe3FBQmhUVsL4+bNwliU7mcpK4tosl9yxBLnN2mdfxdvUinNc7PNY8KMfClFRCsyzZ8XL0c2bDIxEMFaRioqxffc0rKeegWlCb2MC1efF/8TjeH5/GwxQSDxYIps2xe9NnLvO2snao4tN19xO/t67UbDfnt1V1wNzgB8BosNEMGoQoiKBIPuIT+c2WSw4SovwNYnBGMHoR1YUzv/gCSbtvVu8TotE2Hz1rdTe/XcDI8tOIm1uLF2ONbZJ4w2ORpBJ7Lr3u3ltbqQ6CXl8gxYmXVH9BoVVsUHxt399F5/c9SjW/JgASbHbUKyWWKq27pQf0Whc0BP2+gm6PQTa3bFO7LGGJFESy+sNQMOHvUUsgv7jSPNb2+FNPcBgLciLfy41VU1KQVbgTC0Gddfkfl/D5P0XxMtaJILWnPvPKWexO9OmP2vrOZtWN6tRCwzQqahROBVlFDkxsBv6+AM8P7rIwGAEhpCfT9GLryOXJITmgQ3VbDrrMvwr1xoYmGDY0aWplEzCqSjTVC5eGE8DpGka/730RoMjGjgmizll/UBFRaZBioqsurTXYb+xqVI1DYJuD97GlpjLULsbf2sHvpZ2/K0d+FvaMnLPqEWjMaGSrq939dMvUzpnGlMO3psJu89BkiVMlsSwTf1X4rddkDneufHPHHP3rwCwLz4Ay7xdCX2zyuCosgulvDxeVneIdN+CzCGVlGI/+wJsp5+NZLf3alc7O/Hccyf+B/+W8dgi69ZgXXwgAPZpqSc3jVa0cJiV37mUPd94BOeuM7urTwG+DTwNvAh8BWwBxmAHtWC0IERFAkH24Qb8gB3ANWGcEBUJRj35leVc9Pmz8ZkwAOHmNtac9iM63v7EwMiyl0D1dhy7TAcgf97Mnaw9NPZ9/s+MP+YQ0FSigRARr4+I20OopQPPumq+ueZ3hJpFioVMYCktwqSzsK/74hsDo8kMZkfiJtnX1fkbaHcbGFHukF8xAYsz4fRU++ZHBkaT28hmM/aykpRt7WlERRZd6rOwP4jWNXgjAXmO1OIM947cF+BMWjQvXtYaaiGau2kuch3l0KPStjW0dyQWLJbkNJWh3oN+LpsVi5K6+0A4FWWWaE1i4EKZt1sfawpGK0X/eQu5sCi+3PHGe2w+8zKig3DREAgE6Zmw+5x42d/Sjqe+ycBoBoEk9eFUNLDrM9Mg0+/Ziwvi5ZDHN6h9pMPX0k57dQ0t67fgrqnH3+Ym6PagWC0oNiuSSUZTNaKhmKusUc6x/aV57Waa127GVphP5YGLWHDRqfG29mohWhBkjs/ueYwlv/1pPPVj3lnfo+Xa6wyOKsvoTw5DgWAYMU2fie2s87EetxTJmpzaVNM0ojXb8d5zF4FnnzEowphTUTfdE6HHEuHGFpYffg7znrqDwoP37q62Amd2/QEEgPeBB4iJjUSKGkFOIURFAkH2oQH1wFQA14RSGlcOY7oSgSDLmHbEAZz+7/tQrJZ4nWfFWlaf+AOCW3cYGFl20/HeZxQfcwgAJQcuwlZeRqBu+J0CZlx9AeXfXhJfli0WzPkuKC+LHXv/PSk9ZG9em3b4sB9b0Bv75MRsKE3T6BgD3xGT7rch1OntY01BT0p1LkVqNIqvVriJDBbHxLK0/YbpnIrMeQnhkN6lyGV3pE0h4a6pH3yQWUKZTuiq1ooBEMOQZeSZu6Rs8vgDdOo+k+ics7RoFC3c2x49nUsRgNokflsySeidN3FccDEAUhrXM8HoxTR3XpKgKFi9jY0nfj8pTZZgFCEGLQ0lT+dS6WloNjCSwWEyp+/2j0YH6FQkp3cqWv/S20iyjGSSkSQpVpZjjzO+dVB8veY1m9je7ZwqScmCZkmKbSNJ8TZJltFUlWg4QsQfINjpJdDmxtvYQmdtY9L1tZ5YKuvUbblAoN1N68atSa9Py/otxgUkGBEUhx2Lw4bisGG221CsVhS7FbPdislmiz1azCg2a9dfLD28yWLBZLVgspoxWWJ1itWCqbvdakWxmjFZYu0mi4JsNmMyK8iKgqzIyIqCZDIhKyYkWY4/xv9MEool0Q9j2UOI2HsSqU2kNpTHl/expkAwNMz7HoDtnAuwLD6kV5umqoQ/+5TOm5cRWWu8o110RzwBC4pukt1YItzYwvLDzqbi8rOovPZCrF3jJzpswJKuv5OAs4DUVtECQRYiREUCQXaSJCoSCEYri6+7hMNu/nFSZ0nzs6+y7rxrUb3DO4tttFH/wFNU3XwlkklGcdjZ5aYrWP79XwzrMawTxrHrb3660/UUl2On6wiGB3vFhHh5rKTz0s+uDfvFfdZAKJ0zLV4OC/eCIeFMk/osHI3gCaQetFB0rmIhb2Kd/DQiAE0DT12OzYBPQdH0ynhZq6vpY03BSCLPmINksaZsW7cjWZAq2ROCIS2Y+ne2JC8vZb3W2QlpthGMDGpz7v9OCAZPtGYbmqbF758skydSeNwS2p5/xeDIBCONpomJzJnGphsQ87d29LFmdqKfnNGTSHRgQsR0gviwL8D6l95Ku90Rt18TL1e/8REr/v78gI47VllwwcnxcmddI97GFgOjEQwHlYsX8b2X/4rZ6UgW1OUASvmEna801tBPwhikk5tAkBaTCcsR38J+3kUoc+f1ataiUULvv0v7NVdCa/ZkOFGbEvepsqIgO+yoOSzyHTSaRs1df2fHvU9QunQJpccdSsHihdgqy5GSr6dOBtYDvzQmUIFg4IgznkCQncSnqef1VrMKBKOC0/99fy9B0dYb7mLNqT8SgqJ+EGl30/T0f+PLVRecRMmBi4b1GLv/+XrkrlQn0XCYF8+5lhfPuZbmNQk7U03TWHvTX4b1uIL02CcnOnOG2z4+W9HfcEUCYuB6IJTonIq8oyCtlpGkExW5vends2Td7PCw7vtakEZU5KlvQh0FThOu8oTNtVorREVGYdpzn5T1oXCE1dt7uNxZbYlyGoHQhKLClPVqQ92g4hMMAX/i90SSJHAJt6IxhdtN4LGH4wITSVGY+vAd2Hefa3BgAsHoQ9al/czFCR16gXtPIgNMT5tOVLSz18VemnBWa98y+l12h4uJeyUGkbe++7mBkQiGiyW3XYXF5cw5QRGA7/U3jQ4h+9C/j0L0KxgubDasp51F4UtvkHf7Xb0ERVoggO/Jx2lcuBvt3z8vqwRFEHNOEiTQwmGann6ZNedcw8fTD+cd5+4sP+RMOj5arl/tamCyQSEKBANGOBUJBNlJXFTkHF9iZBwCwbCjOOxc8tXzlMysitdFvT7WnXsNLc+9ZlxgOciG719HybeXYLLHBgP3evJPfLDkXDp1op+hkKdzOVnx4L9Y+ffnmXrEAZTuMj1e3/bpSjbf/eiwHE+wc/RORf6WdgMjyRyybtZXxB8wMJLcQ+9U1L622sBIch9nRWpRUYcvtQOUbLEg6T67Yd/ORUWdo0T4ZdfN6hdORQZhtSFPrkrZtHbHDoI9BwB1jkZaqLeoSJJgfEFByv1Ft4jflkwjT5wUL2uaBqGQgdEIjMD3u5tQmxpw/PiaWNoSs5k5rz1J00NP0vLoM/hXrTc6RMEwIekcO1HFoKVgYJjttrRtAxcVpR5CCPdxf6Y47Elp7hu/2TCgY45lrPmJ+wVvDqbeE/TGXpz6WronmqpCOIwWicRSEke7HiNhtHAELRyGaDT22LWOFg6hhUIQCqOFw2ihHsvhEFooHNtv1x/d23XvM75dOHasUKxNbW8nvF58d3uhFxUJIYVgiEgFhdhOPwvb6WcjF/ceC1RbW/H+9V58//eAAdH1H7mHQ2KqtOpjGS0Upv3dz1hx9AXss/plrLHJixZijkV/NDY6gaB/CFGRQJCdxEVFIv2ZYDRRMGUSFy9/DntR4mY6UL2dVSf+EN/KdQZGlpuogQAbL1vGrL/9FkmSsE8s46D3/sGqX9xB5zcb8G2rxb998A4C5sLEwHDbxm3Yigo4/qHfxuui/iAfLDlnSM9BMDDsOrcUzxjpXNQLM4RT0cDQOxU1f7nKwEhyH2dFasv3dk9qUZFN12msRqJEAolB/3Tpz9w1o0NUpOgGsNS67QZGMnaRp0xL7ujWsa6mtledpHNiSOVUVJqfj1lJ3XUQ3bZlUDEKBo9pSuK3XfP7hKhojBJ46K8gSTFhkSRhcjmZcPkFTLj8Ajrf/5SWx5/D8/EXBNZvFjPocxjZmUgzHQkIcX2myUVHET19ORWFhyn9WV/3ZzOOPij+GkZDIZrXbh7QMccy9pKEQ6S3QaQ+Gw1IpkS/hvuBB+m45160SBgiMYGQFolAOCzO2bmCrD8/iPdMMDjkiZOwnXU+thNPRXI4kto0TSNasx3Pbb8l+OrLBkU4QHpeKwjBXUqinV7qHn6Wql/8oLvq2whRkSBHEKIigSA70YmKxvW1nkCQM1QuXsRZrz+UNFOt473PWH3SZURa2gyMLLdpfORZCg7ai/Fnn4gkSVhKitjzvhvi7Z3rqtn+6Ausv+2BWCfFAFBciRsab2ML37p3GXldohZN0/j8zKuJjJEUXNmCTScq6tg2NlLOSLrOGr0wQ9A3ZqeDgsnl8eXatz81MJrcxlKQh9lpT9mWzqnIUpAXL4d0KT0VkwmnLfW+3KPAqcg1sSxpAE6r7y1gEYw8cuXUlPUef4COVClmdZ1/agqnooqSNM6p4TBqnXiPM47uek6y2WPpz9IIHAWjm8CD9yMXlWA7+/wkEXbe4r3JW7w3AMHqbdT98a+0PPavmGuBIKeQHYlrhpBXiIoMJQcH+hWbJWV9ZICCIiCtuLiv+7PKxQvi5Zb1W0ZFmt9MYXEm98UIch/9eTra3k60Iffv/cY0Iv2ZYAiYZu+C/byLsBx1bPIEH2L97ZE1q3Ev+xWR5V8aFOEgkXs8FyEqSkvry+/qRUULABkQL5gg6xGiIoEgOxFORYJRxR7nn8QJD9yUdBPd8NgLbLjoupi1rmBIbLjg50Ta3Ey64txesynzZk9l7s0/ZvzRB7Li8puQFBMmmw2T045ss2Jy2DDZLChOByaHrevRjmy3YtZZblcdvh9zTz0mvhz1B2j5MMdubkYB9oll8XJ79RhJK6T7TPdlry9IpmRWVbysaRqNn6wwLpgcxzkpdeozSO9UpLgSg4Bhrz9eznekdikCcNfUp23LFcbPnx0va5EIWpsYBDECaUJFyvqalhTvhyQld4r3cByQJJg1sZxURLdvgwGmTxEMnfCqlfGyJMsUvfwOHaedgLpjh4FRCYzC94ff4HvwPlzX34xl8SFItuR0R9aplVTdfTPlP72ILT/4GZ3vfWJQpILBYNJN8ginEoUKBH2QzqlooKnPYHBORWXzZsbLLeu3DPiYYxlZl/ow7BP3wKMBWedUhBDY5T5CVCQYBObFB2M/50LM++7fq01TVUIff4T7+utQt241ILphQOlxrSC+G2nxfJ2UscMFVADbjIlGIOg/QlQkEGQnQlQkGDUc+fufse9Pk8UuW2+8m2033m1gVKOP6qt+S9tr7zPtDz/HXlWBZLEk2SuXLF7IYcufH/T+dzt7adKy4rBz2JcGTXyoAAAgAElEQVTP8fLExYPep2Dg6J2KmtdsMjASY1BFPu5+U6pLfRYNBIXt8BBw6MR8enzBQNrUESZLYhBH71RU6EotKgr7gwTaOoYQZXYwaa/58bLW3CA6kQxCKk39mW1I9RmzO5LdpXo4Fc2ZNAlXD5FCN9F1awYfpGDQqFur8T/+d+xnnA2AXFhE4bOv0vqtg6FVCPnGJG2teH7yQwCsJ5+B7bQzMVVNBbMl/v22Tq1k1kt/Z8PJF+F+7R0joxUMANnpjJeDncKRLNPI5kS3uRrJPRFtOlFReBCCBsWUzqkovagoX5c+eMxMiBkmkkRFYmLNqEA/yVITovzcR4iKBP3FYsF67FJsZ5+PMmNWr2YtEiHwyn9x33A9tLcbEODwoR+HEPRN1OMl6vVhSjgTFhgZj0DQX4SoSCDITpq6C/biQiSTSdxwCHKSM/7zADOPOSi+rIZCbLjwFzT+4wUDoxq9tL/2Hl/Ofy++nLfvnsx79SEUp6OPrXaOr7kNTdNwjitOqreWFafZQjASKC5nkntU4zcbDIzGGIR1bv8pnTMtXvY3thoYSe6TzqnI7fOm3UZSEp0p/XEqGg0uRQDjd58TL6vbtxgXyFjGlYdkNqdsavf2/sxKzsRnUguFkgSIsiSxYFrqVGqoKpG1q4YWq2DQeH//G+TiEqxHHwuA5HBQ8ODjdCw9yuDIBEYTfPpxgk8/DoCy+544b7gV07QZSJKEpChU3HQNq4WoKGeQdelXQ53CqSjT6EU5uSjsMFnTpT8beP+ieRCiIpsuHXBnXVPa9QS9kXTOUBF/+tdYkDvo31Ph9Jn7SEJUJNgJUkEhtlO/h+30s5FLx/VqV30+/P98Es/tt8IoSVEsWRPXrWpwdDynDJL6ok0gyDKEqEggyE6S7rYdJYUih7Ygp1BsNi5e/lzSoHa4tZ01J11Kx7ufGRjZ2KLz4+VsvuY2Zv35hl5t0VCIaDhCNBRGDUeIBkNEgiGiXX/dZX9LO5/88WHCPj97XHASc087FkdpEQBaVAg8MolN55aiaRpNqzcaGE1mUBz2pM6aiLgp7Tclut/fzurtBkaS+9jTuEZ2eFM7BphdzqTPbdinExU5U4uKOnc0DCHC7CEp7V7NFsPiGMtIRSVp2zp8KQak7QnhsRZMHrQqKyzAZkkzIPnVF2idnYMLUjB0QiE6r7octaMd+6nfA8A0bQbypMmoO8RvviBGZMVyOpYehfO2O7AdcwIAlsmTDI5KMBBMSU5F6cXMgpFB0Yly+hLPZCtympRlqjbw+3hTGveBaB/p7CWd204uvn5Gok+VlYuCNkFv9E5F5KDzmaAHeqdXISoS6JArq7CfdT7Wb38XyW7v1R5tasJ77z34H33EgOhGFsmR6FtQ+7g+EIBtaoXepQhg9HfyC0YFQlQkEGQnXiAIWAEcpUVCVCTIGfIry7n4i+fiwhMA/6ZtrDr+Qvzrqw2MbGwS3JycjvdW67w+O/764tXLb2L9C29wxv8eGo7QBAPEVp6Y2aJFVdRB2NbnGj3dsUJiMKXf6EWdrSvW9bGmYGfYy1KLNNI5FVmK8uPlSCCUlC4j3+FMtQnuUSIqytOJH9XtWw2MZOySTlQUCIUIpUohaU2kNtOCyYNWpXl5PdeOEYkQevetQccoGD68t96EdclRyCWlSJJE3h330nHycUaHJcgyrIcuiZd9y1caGIlgoJh0LqW+JuE8mWn06c8Gew9tJOnSkAxmAFxCSlnf10Qjk+71C/uEMGYg6AUoetdTQe4iyToRSpoU2oIcQtL9vgpRkQBQdl+A7dwLsRx2RLKIkNh5N7JpI55bbyH0ztvGBJgJdGnTtVHivjRSjPvOEfrFDUCKXPUCQfYhkhwKBNmJBjR3L+jFGQJBNlO5eBGXr38t6TPb8eEXrDjgZCEoMgjb1MnxsqehecidoSFdh5Z+5qFg5FF0gwrRMSAoAjBZklP4qMImvF9IspzkGFP/4ZfGBZPjmKwWzM7es8sAPIHUHfzmvMRsI71Lkd1ixZImLVVnbeMQoswerAWJ3ylVOBUZglSYTgSX+vMqmXVORD1ERfmO1J/96LataG734AIUDC/hEP7H/x5fVObMxfXHPxsYkCDbsP/oSiSdI1ntb+4yMBrBQDHlJ8SdXiEqyjj6QUEtB51FktLz6BiMqEiW0+yrj/TUspIQFUWE287ASON6KshdkkQGol8j99H/JApR0dhFlrEcdiT5jz5NwWPPYF1yVPK1g6oS/Pgjmo8+nNZvHTG6BUWArOs/EE5FfSBJlJ9/kr7mn0aFIhAMFOFUJBBkL03AJABHD6cGgSAbWXDhqRx337Kki+emp/7DuvOvRRMpiwzDtfsu8bJ7a+2Q9+et12VnlCQUl4OIJ0U6FcGwY7Jb4+Vc7NQeDAWV5fGyGokQEp+1flEwZSJme2KGUM3rHxkYTW5jKSpI2+YNpB4cUWyJ72pYt06ew5FqdWCUiIpkOWnwSKurMTCYzGG5chnmI46HNClGkkgzuDdg+uq4NikQH/hLHM+7YQOyr/fAn6SLW+uRmiQvhV07gNrSnLJeYAz+hx/AetxSlKkxhzrLkqOhuARahdOtAKzHfSdebvv3//B8IFJR5xJ6p6Kk+zCBoB/0dEroZjjHv/sSKMm6SUgihdfASE6lLF670UCS0KAPhy9BjqC/rxOiorGH1Yr1hO9iP/sCTFVTezVroRCB//wb9803wFiajGNN9B9oQlSUlpLjDsU5d0b3ogaMvlx4glGLEBUJBNlLvBfYXpx+QEsgyAaOvuuX7H3ZmUkdH9tu+TNbl90lbq4MxjFvVrzctmlbH2v2j05dih5JksibP5u2j5YPeb+CnWMpLoyXI2NEqFc0tSJe9rd2iN+TfqJPfaZGIoRa2w2MJrexFKRO/6RpGoFQMGWbrHMjigYS31WnLbWoKOj2jorZ2+PnzUq6DlAb6gyMJjNIU2dgXnp6WieAbMLt9SYJiFKhhZPPLQVphHCaEKtkF8Eg7ovOpug/byBZrEiSRNFLb+C59ieE3xNp6sY6ctn4eLnlH88aGIlgwMhyklORp1789maaHDi990k6wU+mnlfSdWGqFKyClNh09/0gBFmjEtGvkfsIUdGYRCoqxnbqmdhOPwu5uLdDsOp243vkIbz33Al9OPmNVvQZDcbKZNiBIikK0397pb7qBWLpzwSCnECIigSC7CWeR9Oqm50mEGQbZ7/xCFMP2ze+rAZDbLjoFzT+4wUDoxJ049SJihpWrB3y/qKhMJ66RlzlZQCULF4gREUZwjaxLF4OtI+NmS5F0yvjZU+DcMboL3pRUbBtbHxWRor86ZNT1ociYdR0AzW6jpSoTgBot1pTrY6vuW0IEWYP5QvnxstaZwf4vAZGkxmUxYfnhKAIoL195+JCTZf+TJYkXDZbyvXUNpGCJ9tQ62rxP/YwjvMvBkDOyyfvz38j8MwT+G78pcHRCQxFU4Gu85IY9MopTHnOpGW3bnKHIDPonUVyMv30MH7n0wuU+rgO0qVMU4UzS7+x9ZjUMBomHwh6OIepYrA95xGiojGFXFmF/azzsS49CanHPbKmaah1dXju/COBZ58xKMLsICklahq3xLFO4aH76F2KAG4wKhaBYDAIUZFAkL3ERwGFqEiQjSiO/2fvvMOjqNo2fs/M9t1seghVmnRQUEBFFLE3bNhFQcEO+to+e6+v5bWC2HtFEQuIIiggigLSq0AoCSSkJ7vJtpnvj4XZM8nOkk3Zmdl9fteVK+ecOTv7ZLM7e+ac+9yPHTesmoWsnofIbYHSCqwfexOqFy/TMDLiAPY+PRSW+TsWLG2V85as2SyLivJOHoF/n327Vc5LxMbWPlcue/clhwjhYLg7R9Kf1e4lUVFTYUVFnt17NYzE+Lg65UdtV0t9BigXV0LMrmyr2RK1f7KIBPMG9pbLqeBSBABCv8Pksrh5HQKfvnHwB7V00jnK4h3HceHFPrsDphPPavB84V8VK5ZCrKxSHnO5weeEv88lUQSY92u6w6G6UEjpz/SJ9+UXYDq0NywjRwEIvy9s54wlUVGKI5aXQ9jvVuQY1BeV3/+scUREUxHSlPNAtXso/VmiUaQrEo23aNwsIVC8xDgXx6RhlUIkomgq1nTlZz9YH90dlTAWHM9+HkhkZ3QUIjESFSUtpsMGw3bVJFhOPKVRSlFJkhDctBE1jz2EwF9/aRShzmAE2JxAoqJoWHKz2GoxgJUahUIQzYJERQShX+QVpoa7VAhCazJ7dMGkv7+CPdMtt3k3bcO6MdeivhVSbBGtQ/fn75UnDGuKSrBn+bpWOe/u31eg+ynHAgCyhg5slXMSB4d1KqopSo2dyu6Okb+ZREVNhxUVVazfqmEkyYvXF11UxJkExWQTuwhgt0Z3ffFV17ZucBqR3aubXJb27NYwksTBd2FSDa7+G+LCuRpGA3Cdu0Hqd3jUY1VFuyE1cFngmFR9aLDY53bYoz+JJEEipyJ9Egyg+sZr4Lz7QdgvvyrcZjaHd4mmoP0+EUYsKpRFReaO0YWyhD7hGVGRJEkIxhA0E22DUgRgPFFMwwXQA6iJjWKeS0U8JMX6fuHIqag5sBtLJVFEyB/QMBqitVB8hgx4PSFiQKKi5ILjYD7hJNjHT4J58JGNDkuiCP+S31H98P0Qd+zQIEAdoxAVxU69nqo0SAfbDsB1AKZrEw1BxA/JBQlCv8hbiS1uZ6x+BJFQepw6Ejetn60QFFX+thSrjr2YBEV6wmRCxuij5eo/0z9rtYnQrXMWRp4mPQ2ZJCxKCKyoqHJ7oYaRJA4Hs4PDQ+nPmgwrKtq3dJWGkRgftYmQer8/arvZ6ZDL4QXASD+XPbpII1nSn2V07SCXxRQRFXG57eSyuONfDSMJw2VkRW2v8/kRiJa2xRJJyddQcOR2OBr2DverKCeBip6RJHjfeE0e83EcB9ezL2scFKElnDtyz6YmMCD0icCMKWjBUhsUTkUG/B+woigWtRS+Bzlb1NZYoiJFdiASUTQZKzMHTC5FSQSJighC31gssI69BBmzfob7pemNBEWS34+6mV+h5IjDUDlhHAmKosHOKZBTUVQq5/8JX1EJ2/Q6gCIAqwH8C6Bwf/keANkJD5AgDgJ9sglCv1D6M0J3HH371bh89psQLJGd7cUfzcLa069GsKIqxiOJRNP18dvAm8OGhGIohJVvfdlq5y76ew0q9gvIOI7DwP/d22rnJtRh059VbEsNAZ89M10uk1NR07BnZcCZF7nvLJz/h4bRGB/BFj1lmT8YfcewYIuINMI7kCKLNjZL9HPVlSfH9yf7vpP2pIbwEXZGRFagA1ew9OiiomqvN3p/RlQEv3LRyq0ighPLy5oVGpE4pLJSBJYskuvWU85A5qLl4Dt21jAqQgvMJ58GoVsPue75Z62G0RDxwqdFhAXk8qINrKhIDBpPBMCriOOboyniVZ2KYpxMJSUwERubO+JWT6Ki5IF1KjKiSJEgkhUuPQP2625G5k+L4XroSQjduiuOizXVqH3tZZQM7IPqu24Hams0ilT/SORUdFACZRVYeeJV8O1RCIvaAxgIoAeADvvLTyIsLuqb8CAJIgYkKiII/UKiIkJXnPfhszj52bsUu90K7n8Bm8ffCYnsmHVH+4kXyeWNM+aiRqmCbzErpn8ul7OOGQxX724xehMthRMEWBnXnn0bt2kYTeKwuCIL9p5iWshuCqxLkSRKqFinvXuKkeHZ9FAMQZXdpbwpMnEiiso+JiF65ulkcY5g0/WKhcm/a4/vO0ixOKBnp6Lqurro/ZmUfFKDPmkq6c9ESn1mCHzzflTU+YxMpH80Q6NoCE1Iz0Da0y/K16n6bTtQ9tFXGgdFxIPgiswDidHc5og2h2N22UsGFHappz+L/29pTvoz9jEhX3SXT6IxgjVy/2FEMRuhAjkVEYSu4Dt2guOeh5D502I4br4NfHaOfEySJIT27EHVPXdi35BB8Lz4Arn1NgGJ2XzHkVORKt5N27B82FhULl5+sK4dACwE0LXNgyKIJhJ9ZpsgCD0gi4rYRRqCSDS8yYSJf32J9oP7yW0hbx02j78LpV/P1TAyQo1211wIU0Yk1cHS/73X6s/xz/TPcMzdk2DPygDHcThq1jTM63Naqz8PEcaSm6WYFC5Zu0XDaBKHyR5Z8K7du0/DSIwDKyoKeFTcSYimE339RB02zYTENqufyFfjifNJ9AdvscjueAAgFu7SMJrEIBwZSTEqlRYDHu13LHLpmVHbq73RRUVg3LMkj/J9qOZUJJWRwNMI+L75CnxmNmxjL4HQKexQxOfkIm36+6i57iqNoyMSgeuhJ8Axn/Gd/3kIotq1gNAlAuNUFPKTqEgLlE5FxvsfqKU/a45JiqqoKJY4ghUV0Ua0ZkGONsmD4iNE4gSC0Ayh30DYJ0yC5eTTG7npSJKE4OZNqHnsYQSW/qlRhAaGY4RE9P0VE19hMf457jI4B/aGrXM+OLMJIW89EAoh69SR6Hz71QfGoTkAngMwVtuICSIMiYoIQr+QUxGhOa4Oebjun2/gYlKa+AqLsf78G1C7nOzzdYnFgh4v3CdXi/5ajaKlq1r9aXzVtVj82FScvD/1WVrvbuj3+H+w/v7/tfpzEYAtX7ljxluSGou6rOtLLTkVNQlWVFRHQqyWo5LSQX1hRWI7MadRn1CJtcPbKHQapnTtkfakgKio7yC5LBZo71IEAFxGdtT2mmhCArMFHB+5xvIdO4Hv0CFc5nhkjzkv/D9VvHUlmI8YCtT79i9ySeHJwgPvb4mtR2nfX5bYfmqP3/8TvS9zPBiE74dvEfhtfnNftuQkFELdW9NQ9/bryJg5B6aevQAAlmNGQhhwGEJrW39sSOgL89Ej5XLx1PdRPW9RjN6EHuGdEcfOkJ9cXrSATR9mSKcildQjYqs6FTVt0ZBERXHAkbtDUsJ+hpLg/o8gjIZ55CjYx0+CedjRjY5Jogj/X0tR/cC9EAu2axBdksCzaR41jMNAeNZsgmfNJkVbxfw/Ubd1J3q//uiBpgsADAGwIsHhEUQjSFREEPql6kCBREWEFnQeMQTj5r0Hs80qt9UsX4v1590Af1GxhpERqvA8jlwzGwIzAT3vjmfa7OmWvfoxBlwxBu2PGAAA6HXvdahaswmFn89us+dMVWztc+WyGDDeLtnm4MrPVUxek1NR08juE0lFWLVlp4aRJAlqCygqMyTK7pE+MQ2PkmC2pcOwgXJZ3FcMpMDiJ39ID7ksFejAPc5mVzgPsVRFcS3jzMq+vC3iDJeeng4hM3oqNV6lXUusp5+NqsvOR3ANCWUaIUmonnQlMuf+Bs4SHtOnf/QlKi8aA3HzRo2DI9oSzhG5H6j46gcNIyGaC+tUFKxP/u9VPcI6/YQM6FTEbtBgEZshaBBUUqmJMZyK2Hu5IKU/azJmW2SMlir3/qkBs9jeRDEeQRAtxGSG9YyzYRs/CaZDezc6LAUCqJ8zG9WPPQRUVmoQYBKTBPNcWlL05hdoP/EiuI8ccKDpUpCoiNABJH0nCP0ScSpKJ1ERkVgOv3osxv/2sUJQVDrzJ6w+4XISFOmY/t+9CXuPLnJ99fszsWvRsjZ7PjEYxKzL75RT93Ach6GfvoDuk8c1+5ydrzgHJ2/5GacXL8GZFX/jrMpl8s9JG+cg/fC+rRW+obB1yJPLgRRJXdFhaESkEPL74S2t0DAa48A6FZWuWKdhJMkBm9KLJaSyGMMx/VnXIpOgvpcjGXZu5/U/VC5Le3ZrGEni4HIi12Vxx1YNI9mPQ/1+wePzNWqTgkFVlyy32x21Xa9wHAfT4UdoHYZuEfeVoO7t6XKdE0xw/2+ahhERCYFZzA/sI7dHI8K7Itf1YF29hpGkLmz6MyMujvGm6OPPWA6aqudScc8Rg9FFRSaHMo1qMox3E4XAzMPR65Y8KDafGPB6QhBGgnO6YLvyGmT8+CtcTzzXSFAkemrheeN1lAzqi+rbbyFBUSvBkdNe6yFJ2PveV2zLJQCiq8UJIoGQUxFB6BdZVGRxOsAJQuxc5QTRSpz64n0YPmWcYlfZrmemo+D+F+jGV8dYOrdH5inHyvWC+X9i9nUPtvnzlm3ahlmX3Y6xM18FbzKB4zgMeuk+uHp1xerJj8V9viHvPKm6iG9OT8Pof75BsNYDzmQCJwjgeA6+knLMH3IefEnsZGPr0E4u11fVaBhJ4mh/RH+5XLmjiK4/TUCwmJHZvbNc37Pwbw2jSQ44IfqkiJpTkTJNRmTcpmJ4BCD2Dm+jkNm9k1wWi4s0jCSBOCIOEtIO7dOfcWnpUdslSUJdNHcAfz2k7VsgpbkbWGlxcKQ7Edq6qfH7NhCAuO6f8Bua4/Y/jmPq3P46Im96uY3tgwb9G5+Pi3Y+tr8gQBh+vBxaaJsO3KJ0jHf6qzAPPwbmIUcCAIQuhyD923lAwI/Q7p2QqqtR98ZrEHft0DhSojXgO3ZWOoSUkzDbiLBORQFPamwq0BvsGI1TcerRM7zKOLY5TkU849qkOJeKk46tgeM6iWOajokVFZFTUfLADqxD9H8liLaAy8mF/YoJsF54GfgoG2VC+0rgefVl1H3ykQbRpRg0h9tiSmbMRc8X7zsgEu8EYDSAn7WNikh1SFREEPqlmq1Y05yor6xW60sQrcKVv7yPbqOPkuui348t1z+Akg9mahgV0RRyzjlJsXiw9IV34WqfB3tWOtyd85F+SEc487LAmUyQgkHUFpehcutOFMz/E8H6xg4G8bDl+wWYcd7NOO+LF2G228BxHHrcfAUyBvfDwuMujytfPKdi0c5icjkVdVv7XPS6+1qsufWJuGM3CnbGqci7LzUWhnL7RlILVW5PDeeTlpLV8xBZ1CJJEvYsWq5xRMaHE1TSRqhNkDALTgoXmBiqIikU/8KO3khrH7lGScV7NIwkMfC9+iu+c/XgVMSlRXcXqvP5IUrR32OSpxrwNL6/sDstkDaY0PBdLhXuQPCLd1oaauuQ0w72z3+Tq4G1azQMxgAEg6h7/y1ZVAQApm5hZztTrz4AANu5Y1F58RiE1q/VJESiNVF+5jvcdyv2PPMqguRYZCh4JqW1P0oaS6LtYcdogsWsYSTNgzdHj1ltXBDzXKpORdHFEWZnA6ciSn/WZExWNv0ZibGSBfbegTYNE0TrInTrAdtVE2E9+1w55fMBJElCaPs21Dz1OPy/LtAowhQk1s46okkESspQPnshcsaMPtB0KUhURGgMiYoIQr8oRUVuF4mKiDbD4nbh+pWzkNkt4jQQKKvAhgtvRhU5XRgC7+YCRf3i76dH79gAf60Hm2bOwz9vfI5di5svQNjy/QJ8ctIEXDhrKhw5mQCA7BFDcPruhXG5CEnBkJw+aO0n32Hbj4uQ3rUTjn90SszHWbIzmh27EWDTn1UX7tUwksTBOu5UFhRqGIlxyGGEWKI/ALGeUmW0FDXnNLUd3rxCVMSkP+PVBZNqizFGws5cg6WS5BcVCcNGyGWptASo1cEYXcWpqLYZ1wGX3Rq1XfLUxn2utoLP6yCXJVEEqsiy/mAEN64/aJ+Mz79F7dOPwvfxe20eD9F2iIWFED214J1hp5B2N1yJnHEXoOix/6H41Xc1jo5oKjyTPspfS6IiIn54lQ07aml8Y55LxalJVBHHW9KUG4GCJCpqMgIjKiKnoiSCXWBXSRtIEER8mI8+FrZxV8MyclSjY5IkIbBqJWoeug/B9Qe/DyJajiQ1bWMd0XSKP/ueFRWdjXAKNPoSITSDREUEoV9CADwAnABgTU/TNhoiacnu3Q0Tl86ALT1iT+3dtA3rzrkO9f9SCgSjUPnTItTvLIKtS4eDd2awuJwYOO4cDBx3DvauWIcF9/4P2+YualYMu5eswLvDL8RF305Dbv9DAYRdhE7d/gt+P/lqlC1edtBziD6fvIj/7/e/Yt2n3wMANs74EYeMGo6gz4+Ax4uApw7HPngTOgwdCEA9RVGy4OjaUS5XbEsN1x5X+1y5TKKippHTp7tcri9NDUertma/zXAjVHd4M6kh2AkVLsaEipgEk8rswpG4r1jDSBKD0O8wuSzu0EfaLc4V3anI0ww3QpfNFrVdqqmK+1xtBZeXH6n4W+a4mCqIhbsRWLcG5v4D5TbJ6wHnUC78uu5+EPbxE1F55mjAT4vARqVmynVwv/4euP1OJYLLic7P3A/OZsXe517XODqiKfDMtThIQnFNYMXlLXX31QI1UZFaGt+Y51IZy6o56VgaOBWR407TUaQ/o7RxSQP7EZIo/RlBNB+LBdYzxsA27mrZcZVFCoXg+3U+ah66H2Jx8s9NEMlN+ZyFbDUHQAcAu7SJhiCA5F6BIwjjI297tjbIR04QrcGhZxyPG9Z8pxAUVS74A6uOvZgERQbk714nYe+7MxCs8cgThZIkQfT54d9XDu/m7fCs2wLvlgL4S8sbTSbmD+mPS398CxfOmoY0xhknHiq37cJ7R1+Mzd/Ol9sEmxUjF36EwW8+ftDHB72RCXP7fscjACjdsBXLp32CVe/MwPrPZ2PL9wvg3VceeWAy74DgODh7dpGrRX+nRooXW0ZkgZzSnzUNVlRUQ0Ks1kHl0qKW/kxha890UVuIAQDR4Pb3vMmkSAkiFe7UMJrEwB8ScQWTCv7VMJIIXEZ21HaPL/5FUKeKqAi6EhW1l8tiTY2GkRiL6huuhnf6q/AtmIfq225C2bCBKDtuaKN+Qn4HOG6/R4MIidYi+NcfKD/uCPgWzFOk4+xw3y1wDhusYWREU+EZ1zi/h0RFWsCOb4J1xvsfqInjW9WpSEUcb2FSlodIoBoXyvRnJD5JGtj7wSRIf53ytNUcJMcB1uiusakOl5UN+/VTkPnTYrge+28jQZFUXw/vF5+hZMhAVF0/iQRFGsCZmHmhJHDk1hLOZIKjT3fkjj214SF1G3SCSADkVEQQ+qYaQHsAsLqdB+lKEPEx4q6JOPHpOyU9YB0AACAASURBVBQLoHvf/hL/3vwwJNpFZkyCQWyZdC+2TLo3XLdYYu4wN2W40fm+G9F+0iUQXA65vdeY0ehy3JGYcd7N2PHr0rjD8Nd4MOO8m3D847dixD3XAQgvtHedeCFyjh+KVZMfh+CwQbDbYHI6IDjtMLkcEBw2WHOz5PM4mXI02AUSXkiyMbXJBJPLAZPLgeyjDoeJSX9Q8NtfGgaWOMzMQgo5FTUNVlRUvmazhpEkD7EchlqN+DeL64r2R/RXvE5iUfJvmuJyIsJbccdWDSNhyMiM2lxZ64n7VE6bSvozPaR52w+XGxEVSRXlMXoSLFJ5GbyvvNCorfykEcia97uinbPQgobhqa1F7ZRrwR/SDRmzfgInCOAtFvSa9S72PDcN+97+FCFKsa5beGZR0YiClmRAYJyKQn7jLY61llORmqAIUBfHmx2M05aP5pfigRUVkVNR8qDYfEKL7clFM9zfGsJl58B594MwH3s8eFcaAqtXou6NVxH4bf7BH5zk8J0PgX38JFjPuQBcFMFVqKwU3rfegPetNzSIjmDh2HEHiSebhSnDjV6vPYTcsaeCN5sbHq4GUKRBWAQhQ6IigtA3lQcK9sx0LeMgkozzP3keAy45U76plUQR2+95FoXPv61xZESrcpAdgcHKamy/82mUfzcfg+Z/pDhmy3Djgq9fwXvDL0L5loK4n1oSRfx67wsoWb0Jp097WHadcR3aFSN+fKtJ53AcRFTkq66VyzknDMcxP70Tef5ACFLAD9EfRMgfgOQPIOTzQwoEYM7KgCU9DbzNAs5sAm82g7eYwQkCOIEPp1LjuHCZ4wGeB8dzAM+B43hwpv39eB6cIOxPd8SB4/ZrA6T9E7hC+Dh34PEcr+p60hA1IYMYElFbVNK0kxgYV4c8cMzkdeUOumdqCjl9usnl4j/+0TCSJEJNVNSkicNIn4SIkzTiQLpLAJAqK4D6Og2jSRBMuiipQAfpz8xm1fRnNXXx/T+sZjNMakJdXTkVRdKficV7NYwkObCOOV9RlyQJde+9qVE0RGsj7tgOz9OPwnnvw+A4DoI7DZ0evQvt77oJe555FcWvvEubSnQIzzi91FeSI5sWiMyCmBHTbattvFFN46t2nhjjWEll0dDsjGxaIqei+BBsEVFR0EevXVJicKdaonXh8zvA/f7nEDp0lNvMgw6H+dW3UD3lWgQWzNMwOu0Q+vSD/errYDnljPDcK4MkSQhu/Re1zzwJ/68LNIqQaIQ58v1F4snm0evVB9Hu0rPUDj8IgAYGhKaQqIgg9I0sKrJlRl8oIIh44E0mTPzrS7Qf3E9uC3m82DTuDpR9m5o3KQQgZClFi5IkgeM42DPTcc7Hz+HdYWObfe71n/2AXYuW4bzPX0TnEUPieqzf4415nBXXWHMy0e7kEc2K0UhIzbCqNyIdjhggl0N+P2r37tMwGmOQ1rGdIs1A4bwlGkaTwrBrLk3csBjvbnG9kd2rq1wWK0q1CyRB8L0aODPpwakoPbpLEQBUHeS7tCGZLnV3VKlGP44mXF4HuRzcSSl7WwKXnQPHDVMUbaHtWyHu2K5RRERb4PvsQ/BZ2bBfP1m+hgkuJzo99n9IP200Np91JSRa+NcVQlokRbm3rELDSFIXNvWU2a6SGlTHqAmhxDjvKWM6FaksGrKp49RSpBHRIaeiJEWR/ow+E8R+eB6uZ15UCIpYnHfeh8rFC4FA6ozRTEOGwj7xBlhGjmp0TAqF4P9jCaofeRBiAd2r6A3OzKY/o+tcvPBWC3IvaJTubAuATQB+BvBKwoMiiAYYb5sFQaQWZQcK9qwMLeMgkgBXfi7+s/s3haDIV1iMVaMuI0FRimNtH0njIlWUIvRVxPGnw9CB6H7qyBadv6awGB+NGoclT7+BuooqhAIB+Gs9qCuvRO2eElQW7Ebpxm0oXrURhUtXYcdvf2HVu19hyVOxrWsLl65uUVxGxFuaGgsKeQN7yeWqXXtbxU462cnt20Mui6EQvCngaJUI1ByG1N+Raju5YzgVGfz93W5gb7ksFe7UMJLEIAyLCFil0hJABynBuIzsqO2iKKK2Pr6UOW4m3aYCXz3g0Y9TBpcbcSoKbftXw0iMj2X4MYoJYP+iX1F1oeruSMLA1E19EZWnj0Jg9UqFUD1txFBkXXS2hpER0RDSIiLPuhS5B9AbrGCGNxtvX666U1Gc6c9iOBWJKk5FrDCGREXxIVhIVJTsSCFy8CDCWC+4BOYhR8r1vb8uxYZXPpTrQudDYLvkCi1CSywcB/OoE+H+4Aukv/95I0GRFPDD+9WXKDliEConjCNBkV4xRcZKEokn48acmwWeGT8BuB3AGAATEBYUGXvykEgKjHdHRBCphbzd25mrvgOZIA5Gp6MH48pf3ofZHsk9XLN8LdafdwP8RcUaRkbogfTjh8tlqWgnxLefg3TSufIi5fDbJ2Db3EUteg4xGMSCe57Hgnueb9F5WDZ+NRdzJz+GjkcfrhxWc2FXLsFsAr//RzCb9/82wVfjga+qBsF6P8RAACF/AGIgCDEYghgKQQqJEEMhQBQhhkRIogjpwG9RRCgQ3N9//2/mGG8yQQqFEKz3IeTzI1jvR7Dep/iRRCk8ycopBQuSJCHkD8g/oj+AUCCIM954FH3HngYAKNucGjfOOX26y+WqnXs0jMQ4sK+Zv6o2Rk9CbxjdqSirR2e5LO4q0C6QBCH0HSSXxR06SH0GdVFRTV193O8vt8MRtV2qLI87rjbDYgWXGfmbQxvWaxiM8RErlWIFoUfPg6bQJYyLWLgL1ZefD75jZ2TM/BGcPSwkdBzWD2UffaVxdAQLzzgV1RaXxehJtBWs206w3qdhJM1D3akoXlFRLKei6IuGvCkiaKKFxfgQrJH3HYmKkhQS2hEAYLHAcdOtcrV2RyF+OuFKAED+8cOQOSi8ecd+4y3w/zIXYlFhzNOZjxsNy8jjAXAIbduC+m9mAHGmwk44JjOsZ46BbfwkmHr2anRYqquD95OPUPvcMwCl09I/5FTUInxFJfDtKWE3fz+//wcAdgL4BsAbANZpEB5BACBREUHoHdlmwJEXfbGAIA7GYVedhzFvPwmemVAqnfkTNl11J0Svzm8uiISQecqxclnashYAEPrsdZiuvw8A0O3Eo5HWKR81u/dqEp8qkoRlr36EZa9+pHUkbYq7U8SNoWxTaoiKMrt1kstVO4s0jMQ4sKIibyGJRVuNGDuz4+kf72mMhDM/Vy6ngqiI79pTLksF+nDI4VxpUdurvfGlPgOAdKeaqEg/C9qsS5EkSQhupDm1lmA7/yJFnc+k+85kh+/VB+6XpwO2SDqnYIl+PuMEwJlMEBjnOEoFrA2sqChgwLkT3hR92l+S4kt/pubcCagLhlhnJ3Iqig/2fRcikW9SQkI7A8HzQLSUkcz1lc9vD/Pxo2EeehTMx4yE5KlFcOUK+H+ajeCaVaqntp4xBnx2DoDwPc2CMTfKx3676Bacs2EOOI4D70pD2qtvofq6qyDta+xILfQbANfDT8HUt7/y/GMvRc0t10HcvSvev7rN4ZwuWC+4GLZxEyDkd2h0XKyuhueNafBOn6ZBdERz4UwkKmoRoojC1z5G98f/E+1oFwBT9v+8CuAuAMYbnBKGh0RFBKFv5BX8tPa5sfoRRFROee5uHHXbeMUk0K7/voGC+543fLoVonXo/uL9MLkju2DF32aHf8/6CNLE/wNnMoHjeZwx/VF8ftZ19L7RgIzuEReQ4tWbNIwkcbiY77zqXToTs+mUbEZUVLlxm4aRJBlq6c9a81po8OuqNS0iQhF3Jv97j8uJpAwVd2zVMBIGhytqs9cX/0KU2x49/ZlUoR/BAZfXPlIRRXLVaQFcVjasp52paKv/4mONoiESgXnkCUh75Q1wTFqkQGk5Sj+coWFUREOEdKVYtJoE45ogMCkoAl7jORXxak5FrZr+LPqiISuMUetDREdgnB5EcipKGhTiPPpM6BpT507IfORB2EccDS4tDaHCQviW/4P6ZSsg5ObAPnoUrAMHRPr36gP3q28pzmE+/AjYx09CcNMG1H/xCXzffwN4PcyTmGC7aqJcrdq4DRWrN8r16k3bsfHVj9B38rhw90N7I/2Tr1F7xxQEV60AAPDt2sN+4y2wjjkfXBQRqalXH6R/+g1q7piM4NIlrfHStBi+U2fYLrsK1vMuBN9gY4wkSRBLilH74vOon/GlRhESLYGzRTJkSAH6/moOO558HTXL1yF/3DlIGzoQ9u6dFfdt+7kZwAAAZwKIfycZQbQAEhURhL7ZfaDAOlUQRFO4fM5b6HnaSLkuBgL494YHUfwe2doTYdKGH4YON46T6+LfCyFtjOyiERf/BGHUGQCAnmccjwGXj8Haj2YlPM5Uxuyww8k41e1eulrDaBKHIztDLpNTUdNgnYpK/k6N90kiUFtDkZqSypxZsIm5w9vAoiJ3l/bg+MiClbRrh4bRJAiHUy5KBTpJf+aMLiqqa4bYxsk4lyioqojergGsqEiqp815LUGqroJYXgY+KzzWEEv3wfvC0xpHRbQZOblIe+l1xcR03frN2DpuMgJ7G+98J7RDSHfLZUmSULu3VMNoUhcTKyryGG/NhnULYhGjuW7EgIuR/kwKRT8X+9pRCq/4UDoV0WuXDDR0DZMojZNu4bOzkP/dTJjy28ltps6dYercGc5zx8R9PlPvvnA98Bgct9wJ35dhcZEUDMBx822KdF/Lbms8/v57yuPIGtwP7Y49AgAg5HdA+kcz4P99IUJbNsF6zgXgM7MUj6kvDd+z2XIyw39PRibc099H/Xtvon7WDIjbtdkEZDpyOOzjJsA86iTF/AEQHueEtm9DzeOPwr/oN03iI1oHzhz57hcDdJ1rLuVzF6F87iK5bmmfh5yzT0CnKVfC2U92zh4F4HMA5wOgwQKRMNTvCgiC0AOyP6W7c340VSpBNMLksOPmzXMVgqJAeSXWnjaBBEWEjPWQjhg470NwfHihW/J6EJz6mKJP6JnbIVVEJrCPvPnyhMZIAGkdIxMZkiSheOUGDaNJHGYm/U7Vzj0aRmIMLGlOuJn3StGCpRpGQxzAuFKhptN11HC5LHlrIZUl96I0d0gPhUBMN85Mqk5F8bkqcBwHG7OQxSLVVscdVluhSH9WrZ+4DEkwiPqvv5CrfE4unA8+oWFARFuSPu1dcPsdMCRRxM47H8O6o85C/UZ9pHIkIghuZve+hOipV4g2R5H+rK5ew0iaB+t4wxIS43NJMak4HgHqohcT41ZAwpj4IFFR8mGyWZQNKmI8QnvSJ9+kEBQdDEmSIIkiQv4A6veVo/DHRdg5ax78lcp7FN7thv2a65Ex80dkfvcLrKdGnEKrNm1D0Y8Lo55/7sjLUPDFHMVGJMuI42AfP0khKBL9Afz9n6fwRe5R+CL3KGx45UP5MZwgwH7N9cj8dh4yvvsF9kk3AhZLo+dqdSwWWM8di/QZPyD93U9hGX2KckOSJMG/ehXKzzsbZaeeSIKiZIBdu6TrXKvh31OCojc+x99DzsXeD75hD50FYBGAEQDYnYwcgOEA7gXwMoDJADITFC6R5JBTEUHoG3mlQjCb4e6Uj6odhVrGQ+iczB5dcO2yr2DLiOxsrNtSgHVjrkXdlgLtAiN0hSkvG0NWfgfBHnEjCL31DLB3d6O+wamPw3zfiwCAjsMPQ9ahXVFO76WEoRAVhUSIKbKjjZ1o8FXVaBiJMWBdiiRJQumytRpGk1zwKosxohhdMnRAqBnuFOkTK22EpHIuI9Bp2CC5LKaAS5HQO2JzL3lqgZoqDaOJwKWlR22vj9OpyG6xqLpqSd7auONqK1inIrF0n4aRJAfe116Cqf9AWI4+FgBgPesceB6+R+OoiNbGdNQICL37yvU9/52KkqnvaRcQEROBuZ+X4hSAEK0H6y4SakZKUU3hOOW4lCEUp0hN4NU3OKrdn5KoqPmwDlP02iUH7OcBAKRQaszr6BHbyGNhGzkCoeISeH+YjdBeZXpR++hRcrlyw1Ysv+MZtDtuKDqdNQq2djkQfX6ULV+Hf9/5CnsW/Ilgtfo9UofTjsPgJ25F1uB+qvdYQU8d5hxzacyYF158K3r9ehmOePZOxQY8IDz/U/D5bPw+4V6I9RHx699THse+P1bi2PefUVxThK7d4JhyBywnn47a++5AaMummM/dHPi8drBedBlsYy8Fn53T6Ljk96P+57mofewRiGXkxJisGNmRW69I/gA2XH0PBLcLueeedKB5OIDFADYCWA+gPYA+aCwi+j8AIwFsT1C4RJJCTkUEoW/qAew9UMk+9BANQyH0TveTR+Cm9bMVgqKqhX9h5YiLSFBEyJgy3DhyzRyY0iKuBqEv34Y4J3q+amnxXEj+iNNB55FHtnmMRIQ0JvVlsN54u2Obi8RMdJvsKql4CBlWVBT0ps77pM2JuRgTfYFPsfOOeR/HXIwxcK753AGHymVxV4F2gSQIrnvk75X26cRFzZ0BqIjfqjzxpQazx9qx6vHEda62hMtlREV7KUVmiwn44XnqEbnKWW2wXn6VhgERrU5OLtwvTZcXtHw7C7Hnmdc0DoqIhZAecSoKUfoI7WDdCQ0mAhdUnAeB+EVFPB99+UAMqgveWBEFpUCJD94UuW+gz39ywDf8PIZILKoFaddMQP6XnyBjyk3IfuIRdPz9V1iPGKLow6dFvn83T/8MhbN/w4q7n8O3A87CF7lHYUan47DgnBuwa9a8mIIiACj6cSF+OOJ8fNVlFHZ9Ox/BusjcqhgMYvcPv+GrrifAX1550Ng3T/sEn7oGY9ntT8Ozaw8CnjpUbdyGhRfdgkWX3qYQFB2g4NPv8XXPk7Dvj5UINnDbM/Xtj/Qvv4fzoSchdOtx0OdvCsKhveH670vImLsIjusmNxIUiRXlqHnpBZQM7IPqWyeToCjJURPSES1EFLH+stuw591G2Uj6IJwK7WhEdyXqCGA6lI5GBBE35FREEPpnFYB8AMgf3A/b5i3ROBxCjwy98TKc/soDisXM4ve/xpYbHoBEO5uI/bQbfwF6vvYIeGtk0TD0w2cIvfNczMdJxYXgOodFC3kDe8XsS7QuaR3z5HJ9lX5cItoauveMD1ZUVFdSpmEkyUVzFmNYERIrKmrOYowRyOzWSS5Lu5J/w5PQqYtclvYVx+iZONRcigCgyuuN61wOq4qoSBSBOh2JitpFREWhguR/3yWC0LatCKxbA3P/gQAA5533I/D7IogFOknxR7SIzBmzwTkiO9t33/sUpDidzIjEohAVGc0hJ4lQ3JMYbMe9WuozABDjdiqKPo6N5aJjYuccaE4qLjgmfYzR7xWIMCZrA6ci+r+2GHPvXnCefy5sRw2H5PPBv34DfMuWo/7PvyCWRhGrmM3IvOdORRPvdCJn2ssoOuFUSPs3UIRKSmBqH97clzv8MGxshVi9u/diwTk3AACch3SEr6LqoIIkNda/8C7Wv/Bu05975x7MOeZiAEDO8MNw9JuPI3P/vC4nCLCNvQS2sZfA9+P38H31OUJ7isCnpUESRYg7d0CqPbhzON++AxyTb4f17PMaHZMkCcGt/6L22Wfgnz+vyXETRsVYYyWjItb7sPGae1H88bfo+tBkZDR9A/jJCIuLGqeqIIgmQqIigtA/GwCcCpBTERGd0195AENvulyhAC+4/wXsevp1DaMi9ATvcmDAD2/DfcwQxfsktOA7hKY+dvATBCIT2WRfmljY9Gd1pRUaRpJYWIFkwBuf00YqwoqKqrfu1DCS5EIt9RkQY4c3p+ZUFP9ijBGwZ2fI5ZRwKspnRFTFOnHIcaVFbfYHggjEmTIzw+WK2i559JWGknUqCv67RcNIkgvPYw8g47NvAIQXGRy33gnv//4LsXAXkCLpV5MR86iTwGdny/XiaR+gYuYcDSMimoIpPeI+HKgjF0rN4KKLxY0Am+6mIfGnP4tfHC/YSFTUXHhmk0KqpD9PdgRLg88jpT9rNlxaGrIffxiuiy9UtNuPOxbAJACAb9VqlN1xN/xrImnhrUcMBh/lXsfcpQuyn30KpTdOAXheFhQBgL19bqvH79lR2OrnbCqlS1fhu0FnY+D9N2LQAzcqNlFZTzsL1tPOUvQXq6tRc8N4BFevjHo+Li0N9ok3wnb5eHCNhHNB+BcvRPXjj0Dckfxp0glCCyp+/QuZJy6LR1S0BwDtRCVaBImKCEL/bD5QyOzRJVY/IgUZ9/O76H7SMXJdrPdh04T/Q+mXszWMitATjkF9cPjCTyG4nHKbJIoQZ76H0Lv/C7sPxIFJzcWAaBPcTPqz6sISDSNJHK4OeQpRUU2hPtxA9AwrKir7Z72GkSQXsRZj1HZ4s05FbJoMVVGRwVMamJn0hKmQhorLiizMS8XaTQizcC531HaPL/5FaLfDHrVdKtsX97naDJcbnCMypgluWKdhMMlFcO1qhHbthNA5fM9pPfFUWE88FWJ1NSpOPw6ortY4QqI5cGnKa8Suu5qwoYDQHMEdEYwGPCQq0grOwKIiIaaoKD6XFDXHzVAMxzNyKmo+5FSUfDR0KkLIWNcTvcBnZqD9D7Ng7t4tZj/rYYOQP2sG9l5wMfz/rAIA2I45Wj5eX1qBynVbkH/8MACA6/xzYR00EJzTCSEv4hZeuy05zTzWPD4VG158D8NefgDdLj0Tgs0atR/vdiPt1bdQdfkFEHcxwiCLBbZLxsE+6UbwGcosS5LPB+9HH6D2uWdoU0Iqwm5E5smCvi1x9OmOXlMfRuao4Q0P/QLgNQBpACwACvb/dgH4GQDt3CVaRPS7AoIg9ITsOc8uGhKpjclhx82b5ioERYHSCqw55SoSFBEyORefgSF/zVQKiop2IHjXOITeerbJu6PYlDb5Q/q1epyEOqxTUeX2XRpGkjgGXHKmXK6vqkH17r0aRqN/eJMJWT0jouO9i5ZrGE1yEUtUFFRZjGEFcRIzWSwwiwMsYsC4iyyOnEzl36sTkU1bwjkiu1t1I7RxRncq8tT74j+VyoQyqvXjlMflRcS2kiRB3PavhtEkH8E1qxq18W43nHc9oEE0RGsQXPanom7Oy1bpSegJNv2Zv1Y/6SdTDlZUZDDH3phpfOMUNAh89HFsLHE86/gZS3xENEZ5P0GiomRAsCo/jxKJLZpF+q1TFIKiYJ0PhXMXY9e381FbsFshwuMdDuQ8+7Rct/TuJZerNxdg3inXwF8VcWM19+yhcCnyV1bjr8nJK8QO1nqx5Op78LHzcKx7/l3UlZRBkiT55wB8ZhbSXpwG2GyAIMB67oXI+GE+nHfepxAUSaEQvDO+QMnh/VH79BMkKEpRJGZcwJnIz6QtMGW40fOFezB01bcNBUXrAQwEcBKAmQA+APAWgHkAZgP4AoB+JnYIw0KfbILQP6sPFNI65MHdKZ8WWFMcd5f2uP6fWbBnpctt3s3bse7sSaintDfEfro+dSc63TFRme5szpcITX8K8MUnSpeWLQSOPx0A0PGow9H73JOw6RvKhZ0IWFFR2ZYC7QJJIB2HDpTLe8l156BkdOsEwRLeCSxJEgoX/HmQRxBNhW/OYgxzzYUU6cNzyZf+rNPRg+WyFAxAKk0BNzV2p35AHwtknDsjarvX1wxRUcNd1PuRavTjUMOmPqPJ6tan9pnHIPTsBVOv3op2oVNnjSIiWoq4pwiSKMqL1O4TR6Ls4681joo4GKxTka+GREVawd5LG80xJqaoKE6nIpOKOD7WONZE6c+aDbuxIejTx3iTaBmNPo8kFosbzumE+6or5Hr5Pxsw+6iLIDYQLR7x3N3of/sEAIBlQH+YD+2J0L59sJ9ystyncs0miH4/Zg+/EKct+gS23CzFOWoLduPH469A0JsChh6iiOV3PI3ldzwN3hZ2IRbr6zH05fvRd/I4AICpVx9k/rgQYlUlTN17Kh4uSRL8S35H5W1TgPLyhIdP6Azm88jF2KRHNI92V5yDns/9HyyNN4l8CeAaAPrKW08kJeRURBD6Zy/CNnUAgE5HHa5dJITmdDn2SEze/JNCUFS1eBlWHXsxCYoImQFz3kHnOyfJk6BSKITg1McQevnBuAVFACDO/xaSP7I4OXbmazjr7SfhpJ3ObQrH83Dm58j1krVbNIwmcWQdeohcLttcoF0gBoF1MRQDQQRrvRpGk1zETH8mqaQ/YzRFIutUlITpzzoOGySXpT2FqTE5zv6Dm+j219aoiYpq6+IXFTlUREWo1c/cFJcXERVJXlpob22kslJUXnouap96RHlAoElhIxPavlUu51xxgYaREE1FISqqqtUwktTGyI4xrFMQiyRJEON0XVIdx8YSFTHpz0gYEx9s6rpgM8ZzhP4QmM+D0a4lesF0SBdw+0UvkiThp9FXNhIUAcDyO55GiLnmWPr1hePMM8DvT9stiSJW3P08AKB603Z8kXc0/pryOLZ/9gO2ffwdfjnzWnzd7UR4d+5JwF+lL8T6eoj14ZSrf095HKV/r5GP8dk5CkGRJEkIrFuL0tNOROX4K0hQRAAAJFZUZIouSCbihzOZ0OftJ9Hvg/82FBTtAHAOgItAgiIiQZCoiCD0jwRg6YFKhyMHaBgKoSUDrzgHV/36oWJypuSTb7HmlKsQLK/UMDJCL/BuF4Zu+QWZJx8rt0m11Qg+eC3E7z5p/olFEaGpTygscA+7+gJcu+4HHNI4dy/RStgy08Ezu0LLNm2P0Tt5SO/SQS6Xb9kRoycBALl9e8hlX3mVhpEkH7zFErVdkiSERDWnImbxSWTTn0W/7RINLCrKGxCZVBSLUkTYzKZB0cmCAJeeGbW9ti4+ETHP8bBbVd7ztfq5tihERVU0/m0TfD7Uf/w+vNNelpuEzl1iPIDQO/UfvC2X0447CpZO7WP0JvQAm/6srkI/1+BURhKTI/1ZvC5FgHoa31iiIoEZR4vkVBQX7BxAsBnpbAn9IbAiP3LabBY8erqWEAAAIABJREFUI7aVRBH+SnUn1bo9EQfdnNdeQtajD8r1qo3bGj124ysfYtGlt2HxFXegcPZvrRi1sflp1DgE63yKuWBJkhAs2I7yiy9A+blnQdy2TcMICb3Bpnak9Getg7VjOwya/SbaT1BsDPECuAdAHwDfahIYkbKQqIggjMGyA4WOwwfF6kckKcc9cCPO++AZ8Myi5I7HXsWmK++ARBM0BABLx3wM37EQtm6R9BRS0Q4E/nMJpBVLWnx+ce6XCD4+ReFY5MjJxGU/v4Mh11/a4vMTjbFnR9wnJElKmdSXZoddLqfK39wSsvt0k8u1O4s0jCT5UHMqUhUUAQBjZANm8UngVRZjDCwqyuweERmIu1NPVIRmLMq1OlYbYLNHPVQTp6jIZbcp0ryw6Cr9GSMqEvelQMo9DQmskG9BwWVlAw6nhtEQLcH39ReQApF7xpwrL9QwGqIpCGkuuVxXRgJKIn7UREVBtRS+MWhOGl/BGnl+ciqKD95EoqJkg/08Ss34DBIAZ2EcVQ/yGu765pfI40wm8M7wGFaSJKx66GW1hxENCHrrsPT6BxX3iNUP3Y+yk09A8J8VGkZGGII4XRGJxuReeDqGrpyFrJOOYZsXA+gH4GkA9ZoERqQ0JCoiCGPwx4FCx2GDwJPSN6U4Y+rDGPXIFHkQLwYC2DTh/7DzEboRIiIMXv4NTMzks7hqKQK3XgLsbj13G2nJPAQuGIbQ4rnyThXeZMLp0x7G8Y/d2mrPQ4RRiIoMtjO2uVjcLpgdNrleRk5FB4VNf1ax7l8NI0k+1EVFMcQkzISbKDYh/ZmBhcFpHfLkslSYiqIi7RcEuAz1NKRV3vhERWl2m/rBav0saLOiotDuXRpGkvwElv8FyRtOqclxHBx33KNxRERLCCyNbDJoN/lq5N9xPeyD+sJ55GHocO8U9P3tawzavBjd33+ZnIx0AO90yOX6GG4MBKFGazoVmZrhuMk+f8hn3PGuFnCMU1GgjtYLkwETI7LTSwployFkZ8ll8SCOsf889DKCnsb3QkVzF2PHjLmtHlsys+2jb1G3d59cN/XoGaM3QRCtgTk3C/0+eQEDPn8R5myFM/WXAE5GOO0ZQWgCKRMIwhgsB+AHYDE77Mg/vC+Klq052GOIJOD8T57HwEvPkuvB6lpsuOhmVM5rufMMkTykHzcMlpzIDXboxxkIvfpI20xWBP0IPXErpNFjINz2pDzhdez9N8DstGPebU+1/nOmKI6cyI2DGEiNidjDrzpPFlD6az0oWbNJ44j0DysqKv5jpYaRJB/NcSpifV4U6c9UnIqM/Nm2ZUQs6MWdqZGeUXdORWnuqM3BUAie+vgWodLs0R2PJE+trhY/uFxGVLR9q4aRpAB+P3w/zYbt3LEAANv5F6P+/bch7kiRz3uS4Xn+KZhHHAeO4yC409DpkTvR6ZE7G/XLGnsm3Cccg38vuR61S5ZFORORCEhURLQUNVGR2AxRtKrjZiynIjM5FTUXjtmMEKLXLingmc8D53Ag/7uvIwc5Lvw/5/lwKm2eC8+z7W/jBAEQhHA7f6DMg+O58L0Jt/+xYgihvcXwrVkL/4qV8M6Zi9C+fVGiMR6czQr3pKvlerDWG7N/sLoWM3udgtHfTkPW4f0QqPVi51dzseSae9s61KRDEkUU/rgIPcefDwCwnXQyah9/ROOoCN3CR3c+JppO9hnHo8/bT8LSLodt9gC4BcA7AFJj1zGhW0hURBDGoB7ACgBHAUDXE4aTqCgFuHjmq+hz7sly3V9ShnVnTUTtinUaRkXoEdewSFpEqb4OoZceaPPnFOd/C3HXNpif+0i2IR7+n/HwFJfij2febPPnTwVYUVGqTMTmH95XLu9dudHQLi6JwJmXDXtmulwvmv9HjN5EvDRrMYYRnbDW9ryaU5FB05+ZHHbFLmpxV6qIDFhRkfZzOZwzLWq71xd/qox0ZgFbQXVF3OdqM3geXG47uRrcTMLTtsb7xlRYzxwDzmwBJwjImPkjam65HoFFC7QOjYgT8d/NqJv2Muw3TFFNdXgAU3Ymen75JtYNOwOBwj0JipBgEZh0wHUVJCrSA5zBFsp4FXehmGl81c6lOo5Vv1djxfkkjIkP9hodJJenpIC9b+IEAbahR7bJ8wjZ2bD07wdcchGy//skfMtXwDP7R3h/mINggfGMLTi7Da7LL0P65BthahdxyS34fPZBH1tXVIIfjrygLcNLGXbN+kUWFQkdOyFv3SZAMIXnPoJBBFb+g6rbb4W4VzlmNB8zAvbzL4RYWQH/kkXwz5+vRfiEVlD6s7jgzGb0eOYOdL51fMNDiwFcBWBbwoMiiCiQqIggjMPP2C8q6n/x6Vjy7Fsah0O0JVf9+iG6Hj9M0Va3aRs6/mcCxHo/RJ8/PDjjOHAcBykYguj3Q/IHIYkhQJQgiaHw+E0UAVEMOyaERHBWC0xpLgguB3iXA4LTDsHpAGcS5JRWkKTI4O/AL5E51uC3f18Zdjz4EvyFe9v2hSGi4jqsj1yWtqxN3BNvWYvAtWfC/Pp34Gzhie/RT9+B2j37sOaDbxIXR5LibBdJa+Or9mgYSeJQTD6ToOigsC5FkiiiemuKpKBKEOyOUpZgExdjJOng6c9ipY3QM52GDZQXPCRRhFScgovOepgkczijNnubsXjnUkl/JpWXxn2uNiMrB5wp8rkMrF2tYTCpgbizAN5pL8M55Q4A4clO99S3w/cMPh9qH7kP/u9nahwl0VTqpr0E/2+/wHnHvTANOAyc3Q5JkiB5PAj+swxSKATL8aPBcRxMGW60v+tG7Lyl7TcrEI1hnYrqSnUk7kwhuAZjN6Pdm7AiBhapGeMXXkWIyAroGz2GETXFEh8RUWDTKQeNea9AKNn602KIIVFV7NdWWI8YAusRQ5D1wL3wr98A75y58Hw/G8EdO4FQCFIoBOj0PWY7dgRyX38FQo7CrQN1e/bhr8mPaRRValL4w2+o2bYLad07A4C8sRQAYLHAMmw4cn5djMobJ8E/fz5M/foh4413wOe1k+cMnFdNgFhVhbILxkDcYTyBG0G0JeacTAz6bjrcww9jm30A7gTwGoD4FeEE0UaQqIggjMPnAB4AgA5HDEBahzzUFJVoHBLRFlzy3euNBEUAkD5yqAbRNJ2sM0/A0vyjtA4jJTEzlphSaXFin7y4EIEpY2Ge+o280HfmW4/DU1yGbXMXJTaWJMPJ/F/ryys1jCRxsN9r9uwMDSMxBqyoyF+TGsKzRKKa/izUtLRXEuNkoyYqMtoC1QHyh/SXy1LZPiBozL8jbtg1NR2kP+PS0qO21zVDVOSwWqO2SzVVcZ+rreDzOshlSRSB8jINo0kd6t6YCgCysAjY76JgsyHtqecRnHg9IAjwz/kedVNf1CpMoomE1q9F9dWXhSs2G9AgVaLzmRdhO2MMACDjzBNJVKQFggDeFrkme8tS4z5AbzQUFUlNHP/pBb4VRUUcpyKOj/GaKBwtg8Z67bRGkW2XXrukwFtShjeGnIfDxp8HgbnH5DgOoihCCoV/RDEESZQgBUMIBYOQQiGIwRDEYBBiIATxQD0QgBgK9xVDIqRQCCa7DR2HDUTnY4Ygt2938CblvaylX19Y+vVFxu23NopPCgYR2luM0ltuR/3vS9r89TgYpi5dkPf26+DTI/c6kiShfOUG/HzSBA0jS03EQAB/XvsARs18Dea06JtaOEFAxutvQywpAZ+b2+g7FAD49HRkf/MD9o0YBnhjp7AjiFTB2ikfh/30LpzM/C6A1QAuB5DAneME0TRIVEQQxqGIrajtnieMzdlvPo7eZ52gdRjNwpydefBORJugSGHQDDvzFrNrGwJ3T4D5vx+A43kIZjMu+m4afpryBFa8/mni40kSnPkRUZFnX7mGkSSOurLITmxbukvDSIxBTt8ectlLQuNWR01UJEoq11meV1yP2d3bAh99YceoO7fz+h8ql6W9hRpGkmiY71sdOBVx7ujiy9oGIoGm4LBaoh/w6kewyOW1j1T88ad4I5pP3RtTEdpRgLT/vtTI/cLUI3w9MN0wBZaTT0PVeadpESLRHKJcK+qmviSLiizt28HSqT38u1PQjU5DBJcyHWXtXh05xqUQDdOdiUFjbRJXS9cmNktUFL09llMR+/xGE2RpDkevXTJSvHojfrrtqTZ9jpXvzJDL/caeiqE3XY6Oww+H2R5988ABOJMJpk4d4b5hki5ERdnPPa0QFJUtX4slE+9HxcoNGkaV2uz55Q982f5Y5I08Eo6Oeajdthshnx+dzz4B/e+aCG7/XIjQrp3icd6iEgS9dXD3PAQAwLtcSH/hJVRdP0mLP4Noaw6SYplQYs7OxOAFH8Leowvb/CaAWwGQ8o7QJSQqIgjjcPiBQl15Jap2pNICTmpwwmO3YvA1YxVt67+aCykkghN4CBYzBLM5/NtqAcftX8+SpPBxsxm8SQinROPDadE4npdTpHF8uB4KBBGsq0fAW49AXT2CdT74Pd5wCpb9fQ8MAuWxoFznFHWTzYo+55woH+PdLojVtW3+WhEN4HSwyLluOULP3wPhjqfDN5JmM06f9jCyDj0E825/WpuYDA7rVFRdmGAHKo2oKYwIY2yZ0R04iAisU1HV5u0aRpKcqDoVqYg3eZNyoV1i+vFJlv4sq2dk0kPcs1vDSBIM+30b0sH/zuWO2lxTVxf3qVSdirz6GdexoiKxpkbDSFIT/9zZqK6pgeP6yTAPOTJqH1PPXrBfPxl1r7+S4OiI1oJzKneg60A/mXLwLqWw3lNMrmxa0FBAKerhez8OorlEAMr0vE1FNf1ZjA1NrLuRGEN8RMSGnIqI5rJ+xlysnzEXANB19FE4+rar0XXUMJgdNuXGRAbe4YjankiEvDzYjztWrm945UP8PeVxDSMiDhD0eFH040JF274lK1C1cRuOmv4oBGaTSqjeh79ueQJb3vwCkCSMeP8Z9LjyXACAdfRJ4Nu1g1isnOfku3ZDxkuvgc/OguTzwfvxh6h75622/8OItoFuImLCmc3o/8VLDQVFDwB4AgC9eIRuIVERQRiHIw4U9qxYr2UcRBtwxHWXYOR918s3djV7SvDuyMtRsXWnxpHFxuJy4p6aFZF6uxzUk6go8SgmBLQbd4rzvwUACLc9KU/CDr9tAixpTsy5/qGYk45EY1yMU1HVjqIYPZOHkrVb5LItPQ1Wtws+uqaoktOnm1wuXb5Ow0iSEzVXyJDKwkhDi3n2mqea/sygoqK0TvlyWUpZUZH2izycO7r40lMXn1OR3WKBSSVNCqr0k3aHY9OfUeozTQgsWYSqJeH0to7Jt8F2yRWQKiogdI18H9lvvBWWE09F1cQrdPX+IQ6O+cRTkfb0/+S6b1cRAoXkUpRoTBlpclmSJASb4T5HtJyGopyQ31hjNnVRUTPO1RxRETkVtQpi0FjvO0KfFMz/EwXz/wQAWFwOpHVsB5PVCt5iwqiHJqPXWaMANC89YmtjP2m0XBYDQRIUGYCt789E0dzF6Hn1BXB17YiK1Zuwa9Yv8OyKjCGX3fY0ul50OgSbFRzHwXbWGHjfflM+zue3R853c8DZbHKb+577YT/zbJRffnFUd02CMCq8zYp+n7yAzBOGs833AXhSo5AIosmQqIggjAOJipKU7iePwJlTH5Inauorq/HxaRN1LygCgIBXuRPenJuF+i0F2gSTyujBqWg/4vxvIRZshvn5T8DZ7ACAwZMugis/BzMvvR0BD7l3NhU2/Vm5Aa4HrUHx2s2QJEm+Hro75WPf+n81jkqfmOw2ZHTtJNeLFvylYTTJCW+JLioKitEXRrgYTkVqgo2Q35jpzxzZkbRb4p7UdM+UtHYssDsBIfrtfG19fKnBXHab6jGppiquc7UlXF5EzCYW79UwEgIAvK+8AO8rLwAAhL79kfHxDHCW8EKBqU8/pD35PGpuukbjKImmYh55AtL+N1UhHtj77FQNI0pdhIyIYDRWeimibWmc/sxYwhi19GdSMzYhqYuK1M/FipqM9trpCXrtiNbGX+tF2aaIy7GnRF9CfUuf3nK5+t8dGkZCxEPd3n1Y8+Trqsd9ZRUI1Hoh2MLuuEKHjorj6a9MVQiKDmAedBhyFy9F2UXnQdy2rXWDJlod1qWQiA5nMWPAV68i+/Tj2OaPALRtfkyCaCXoU04QxmHIgcKe5Wu1jINoRbIO7YrLvp8uT7gEfX58OuYGFK/epHFkTUMSRfgZkYg5L1vDaFIXpVGR9juLsG0jApNOh+SJOMwcevZoXLnwI0VKL0IdwWKGnUn/Vbphq4bRJBBRVEycpnVsF6NzapPdq6tcliQJJX+u1C6YJIW172YJqYiKeEY4JDbYuS3wySUqsjgj1vgp61Sk8c5xLk09RaQnzp2crigTuADCf2OdJ65ztSVs+rPgTlpk0BOhDetQPfk6RZt56FEaRUM0B+f9jyqEA8VT38O+dz7TMKLUxcSIisilRDsaOv0YzXVX3amoGaIixO9UxKYFDvr8cT9nKsNei0lURLQ1nI42KQKA0CEy3vekiGN3KtDxzFGw5WTKdf/fyk1x5t595HJ9aQVqmI2VfHo6cmb/DPvVE9s+UKJlMGMPo42bEgFnMWPAly83FBR9B2AiKOUZYRBIVEQQxsANoNeBShGlOEkKTDYbJi79EgLjhPDNlXdh56JlGkYVP/5aRlTEOBcQCUQxYaiTMWhpMQJXnwKprERuyh/SH+P/+BxZh3bVLi6D4Gqfp6injKgISge0LGVuaYIhp093uRyq99GiUxug5lSklv6MdSpq6CwgCCrpzwwoKrJlZSgWisRUEhWxaD1J5kqL2hwKiajzx7d451RxKtKTSxFy8sAf2l+uhrZuidGZ0ILA7wvhfXu6XOfsdrhenKZhREQ88NkR4f+uu5/Arjsf08XiYipiyo4sugXjdJ4jWg++gctkKGCsMVuriorUnIpinItjXj8jjne1grcoNzXQPR7R5rCuZjr42ufTIvc4wVpyOk8W+v1nvFwOle6D78fZcp3PzQWYTS7zTp6Abweeja0fzpLbOEFA2t33wXXfgwmJl2ge7Hc/YrgZpiK8w46BM6ci5+zRbPOXAM4HQAN+wjCQqIggjMHhBwr1VTWo2LZLy1iIVmLi0i9gz3TL9V/ueR7rvpijYUTNw18T2cFuZnYdEBqhp0F7dQUC40+EuCUihMzo1glXLPgA7s7tYzyQyOjeWS6LoZBCvJfsVO2M5F1vP6SfhpHoG1ZUVL+vXMNIkhchzvRn7OJTw11ZyeRU1H10JO+75PNB2pua6c+gcfozzumK2h6voAgAnFZr1HbdiIo4DrbXZiiaguvJuVWPBDcqN79YTzwVadPf1ygaorn4i4q1DiGlERi3Ur+nLkZPoi1plP7MYGM23hR97Cm2pqgopO6iw4qajDje1QqLy6Gok8sTkVB0ICYObI+kZkvv2z1GT8IoOLt0QPsTj5brnldeUhxPezDilumrqELF6k0I1dXj9yvvwl+3PIHQ/vtbjuPguGoCrGeenbjgifhgnYpijBFSDSHNicG/vN/QoWgmgCsAkHqYMBQkKiIIYyArTzzFpboY5BMt48zXH0G7QZE80as/+haLn35Dw4iaD7t7krdFX5Qi2prok3y6IBhEcMpYhP74RW5K69gOl8x5E7ZM9dQtqU5m905yOZUERQCwZ1lkoThvYK8YPVMbVlRUXZCioo42RtWpSEVUxMUUFSWPU1GnY+SMvBALd2jv2KMVWot4ndGdiry++De5OdXGb7XVcZ+rTUjPBJcTcfCTRBGhTRs0DIhQwz/ne9TcdyfE2hq5zXz0sUA6uZnqHbGsVC6nn3K8hpEQQnpk41GAREWawTVwKjJaGireZIra3jBFb1NQHccG1NfBeIFERc3B4rIr6vTaEW2NmmhQK/zrImN8Z5cOGkZCtBadzhqlqDsn34LcZauQu3w1cleth+200+Vju79boJhL2fjyB5hz1MVyneM4OG+a3OYxE82Edeim9UsAgOB2YeCsaXAPP4xt/hLAxQBIOUwYDhIVEYQxkFcL0zrkxepHGIA+55+KI66NDIiLlq3Fd5Pu1zCilsFOrvEWEhVpjk4H7aFHb0ZowfdyPbf/obh83ruwZbhjPCp1YZ2KvPsqNIwk8ezb8K9cZoUzhJLs3t3kcvnqTRpGkryoORWppz9j88dHrsU8z6tO1oaa4SqjNXkDDpXL0s7tMXomGbn5iv+jVO+J0bnt4RzRnYqaIypyqDkV6UVU1GAB1PPcUwClA9EtvllfIbhyhdZhEHHi/y2yAcA1fEiMnkRbI7gjolF/rbbfNalMw/RhQYOJO3hzdFFRqBmiIl5FVBRLaMW+fsG6+rifM1WxOJVORSQqItoc9j5VB/OJgXXr5bLJ5VAVSBLGwexW3rcKObng09PBu93gHZFrXn1pBVbc/Xyjx5f/sx6enUVyXdy7t+2CJVoGz2600/56ojWWdjkYsvATZI4azja/DuBSAPQFTxgSEhURhDHYfaBgcTlpEd7AZHTrjLGfPi8vSnlLK/D5+Tcr3H6MBjuRxFnoZk8TdLazSI3Qf++EuHaZXM8f0h+X/PgWzA57jEelJuldO8rl6sLUumHesTDyHrFluCFYLRpGo1M4Dtm9usrVkj9WahdLEqPmVKSW/ozjozsVmVQWYgBjLhRkHBK5PolFqZOS13R0xLlDqq0BSks0jAaAwxm1ua4Z7ym7ReU666mN+1xtQoMFUP/PxksXnGqYeveVy1JZKVBVqWE0RFPwz5srl22HdgPvin6NIdoeU0ZEVFRfVROjJ9GWsE47gBGdilTSn7WiU5EYw6lIISoy8HxXojE7yamISCyczkRF/o0b5XtpjuOQc8xgjSMiWsrm6Z+jYk3sjXA1W3diwTk3om5P43vsrMH9FK5V9bO/a/UYiVZCZ9cTLfl/9s47zIlybeP3lPRsL+zCLr2z0ouKBRXLsXdRUY79iKjY/ez1qBy7Yq+IioK9NyyIitJRei/Lsr2lT/n+yDKZ7GbCZtlkMsnzu64l70wmM89uwmTmfe/3vq29SjBiwTtwqpJKALwJ4CoAxrqoJAgVNPpLEMagGoAXgBUAMkuL4a1PkpnDRLvhrVZcvvgDxflAliR8eP6NaNyxW+fK9g8xEOrkYDRmwxGJJLkv2oWbLgD/9Dyw/YYAALqNG4bT5jyOeadfDYlcBxQyS4uVdv3mnVG2TD08tQ1hy5zJBNFnPDeXeJLZrUvYLNbynxbpWE3qohl/puVUxKmdikLbcGzkQR3AmAMFji75SlvasVW/QhIMVxZy7pC3b9KxkiCMs/PizzSditxJ4pDRWsjHR/6/SSQPsicU3ep9b7aOlRDtRVi8CLIsK4OL5u7d4F29Xueq0hN1/Jm3jvp99KK1U5FkMHdJTqNvRpI74FTEaDkVRRMVhQYWBbqXazcmqzVsWRZp3JGIM0kmApDdHkiNTeCyswAAjpIinSsi9hd/XQO+OWwyBt9wMXinHa5tuxBodAXPbwyD+lXrUbPkb83XD7//WqUtezzwfvhBIsomOkKSnU/0wlJShBE/vgVreITjDAD/ByD2CzGCSCJo9JcgjIGMoFtRXwDIKi1C5T4U3kTycdlfc2HLzVKWf7zzKWz69lcdK+ocwuLPTDTIowfJloG+L4RrzgT//KdgewYjdPqddCSOe+5ufHn5nTpXljxkloY6TqrXp1G8ENrOyOatZop+aIU6+kwSRbjLdXZMSVG04s80nYq0REVcaomKLBkhQZu0I33OT2zvUOybtHWDjpW04IgsKvLEKCriWBZmLVG4K0kcMlr3R0Zx/yKSAIYBk6Fy1uWo28kQSFIwVrDlfs5CoiLd4FQuUd76JDkPpyEMZ+zvGq3IoM6MPxOjOBWpBxYFL4mK2gurcv+WSFBEJJokEAFYxowGawuJ68yqfnTCuPjrG7H8zidjfl3xxINRcsIEZdn12suKi61p7FhkPvI4uG4tTsqyjMDKFag754w2TrdEYgiLi0+C84keMGYTyj6c2VpQdCuAR3QqiSA6FWPfIRFEeqHkS2SSSt9wnDnnCRSW9VeWV73zGRb89wUdK+o8wuPPSFSkOwa5aBeuPhNyTUgIMeKyszHyikk6VpQ8MCyLjG5dlOXKleklIm1tj6/VIZ7O5KtERYFGElzFC02novaIikS1U1HqxJ9l9egWNnNfTiOnIqYo1Ckkb9+sYyUIijackeOQXTFGjGi5FAGA7E6S+DOHM2xRqiIhZTLDdikGm5OrLFtPP1vHaohYkD0epW0d2Hef21v69kTX269F6SO3o+SBW1Bw+WQ4xo0EQ9G1+wWbETrnkVORfrAqUbgRB8YSEn/Wzkg4ij9rP2GfOxIVEQlA7SqmJ4zFgsypV6DLe2+Dabk/kWUZ1YtW6FwZoSfDH5iutKWmJriefBwAkPn0c8iZ/R74khIwDBP8YVmYh49A5iOP6lUuoT6fpKGwy1JShOHfv4nM0WXq1VeDBEVECkGjNARhHJT8G3UsDpH8HHzTJRh89r+U5V1/rsSnl9yuY0Wdi9qNAUlyM5p2GMypCAAg+BG4/ASY3voRjD3YcX7Uozdj3UffwVVZo3Nx+uLokg9O5fq1a7G2DXAq0lpERDM026J2KnKRS1Hc0HLf0xqMYVTREOrBp1SKP+s5YazSlt3NkGuqdKwmsaidV6RtG3WsBEBGlqZbT7PXG9OuoomK0JwcDhlMRmiGsizLQLLEshERkSorIO7cAa6kFADAFnaB/bpb4H6C+lKTHXH7VrBlQwEARdddDv+OcjR8NR+S29Nm29xJp6DnzIfAWtueQ8RmF2re+Qi7ZzyHwO49ca871VA7Fblr63WsJL1hojhNGoHOcipiWwZrIyEFIl/Hsjwf9hoSFbUfdWydLBlPzEYYjzBnkTb2oInB1L8fCme9BlPPHqFaZBn/zHgFNX+t0qUmQn9slOEPAAAgAElEQVQcPbqhYNwwZbnpgXvBFhQg570PwJd213ydedxBiSiPiIQ6LjXNvsKsvUowcuEcWIoK1KtfBPCsTiURRFwgURFBGIeQU1EpORUZhd5Hj8fEh29SbtIad1ZgzilTU6pTRS0qYqIMnBIJwkizKN3NCNxwPkzPfQyGYWB2OtDnX4dh5Zsf6V2ZrqjP8bIkw51mIiu+lTtMMnem2nKz0W3cUHQdfQBy+/WAs0sezM5gNNTegQhZFCGJkvLIciwYjgPLc8GZqAwDSRAgCSKkgBBqi2LYTTjLc+BtVphsFpQcOFxZ37ghfeKnEo2WXlPSOs9qWD2zUQS3RpuB3G3MAUpbSiOXIuQWgFFFOMnb9HUqUotsWtPkiU1UlKGKFwjD7wMCyRFXwqiditJwxqPhkCQ033c7sl6apayyXXwFuIGD0XTtFUCMwjcicbhn3I/MN98HwzAw5eeiz6ynIbrcaPrpNwQqqhCoqoEsCLD26YG8c0/T3A/ndKDw8snIPfNEbL5oOhq/X5DA38L4sA6b0vbVk1ORXrCGjz+L3DcTq+tStKh1SYz8nWzODHcYFH3JcT1hBNRiNppcQyQCtTsWNP5Px/X4uTkonP06TN1DIhFZkrD4hkew5sk3El4PkTwUHTEubNl60inIfOAhMKrJX+7ySqy491mUnnxkKCbNSP3iqYbGRLtUxzlsIA747MXWgqLXAVyjU0kEETdIVEQQxoHizwxGVo9uOPfzFxQr2YDbgzmnTEVzRWrN6ienoiTAyH/2resh79kFpqgEAJDTt8c+XpD6qN3ohDTsgG3dAZ5MogvObELxqDKMvORMdD90FPL699r3i+KMq6Ja7xJSkygDKJqdI0zYRqrVkfdlxD6WgrJ+SlvasU3HShILP3a80pY9bsiV5TpWA8CREXG1PyAgIAix7UpDVCQ3NsRcVryQfSoRSpQ4QSJ5CPz2K+onnYrsOR8r68wHH4qseV+g4cSjdKyMiIawbAm8s9+AdfK/FSEB57Aj+4SJmq+RZRni9q2AKIEtKATjdCqv5XOz0Wf2s1hVdgSE6tpE/AqpQZhIWcc60hzjOxVFrj92pyLt711J45qDt4ZHIIqB2K5N0hneEhosT+bJNUTqoI7wTrh4n2VR8NJziqBIlmXULV+Ln8+6Bk2btie2FiLpCDSFu9NaDjk0bHnPL3/h57OuhbeyBkNuvDj0utXp5faeVKjHhdLkIjbr0NE44JPnYcoOi6efCuAFpJ1fE5EOkKiIIIyDEn+WRU5FSQ9rNuPyxR+AN4c6Uz6ecit2L/1Hx6rig7qjg9Gw2CaIqKhs042Y5NbZ5A0MCVVMNguuXPUZGrZXwLWnGoLPDzEQgCxKbYUN6k5Hlgk64fA8WI4Nt7+XZciyDFlS7UMGGJaBNSsD5kwnWJ4Dw7KALEMSRMiSDEkUIYsCZEkGZ7HA7LSBt1gg+HyQRSkooGzJMWdYBrIkB915hJYfUYIkBNp0jjLKPy2/s90W9vyYq86H4PEqHw5ltmybZYQvR9yGCTkFKY8cGI7VfGQ4DpZMJ7oMHYCs7sXhM/mSgB1f0ez/eMBEES5oGxWpO1A01qv3Y0DHleweXZW2vCN9XLLYA0YqbbmuBuyIA4G95wJJBiQx+MEQRUAUIAsCIASUZYgCIAhBkaQsQ/mAyHKw8z4QCLoCCe2Lw2Ns9ojrPf7YhahOq5aoKIkid0QajDQiwt8r0XTbDXDcchfYrKC7Ft+jF0wTJiLw0/c6V0do4Z5xPwJL/oTjxtvAdiuJ6lIi+31ovOpSCH8sDK3MzITzzgdhPvZ4MAwDLsOJgkvOw+5HyPm/vYTFn1Wll2NpMmF0pyItUVSszgFstGtiDVcTvlW0qpb4iGgLp7ou04qXI4i4kWARQNa0K2E7JDR5Y9cXP2P+SVcktAYiedn1xU/wVtXCWpAbtl4SRax68AWsvG8mZFGEs3cpMvv1VJ53vfB8gislIpIGoqJu0yaj3xO3qa+5RADTEBQUEURKQqO/BGEcVPFnxdG2I5KAy/54H/b8HGX5p3uewep5X+tYUfxQdxAZfTaf0WCtVlj794Sp1Q2W4ZBCnyHWbI6yYXrQ+7jDwpYLy/qjsKy/TtXoz5EPTNe7hKjIkgRXZQ1qN25Hw47d8NY3AZIEUQg6LHE8B4bnwJlMYDgWsiBCFARIAUGZtcvyHDizCZzJ1PLIh51PGZaB6A8g4PbCZLeibNIJwWPLMnZ+u7BtUcR+E1VUpDXZKGzgVSW4TSFRkT0/9H0j7UwfpyJu+BilzXYtheV/r8flOLIkBcVFLdFjciDQIjwSg+KjvW2bA4zFCkAOCUpZFv7KSrB7GgEwgBwUhCqv3ft6yMGPZ0vbecAIsCUlaGW1BaZLV7A9+wadgfx+yAF/sLaAH/D5IHvdwc88wwa38XkBvzcYmyBL2p/vveKpQAAQAsHfUdj7E3nQkRt1iOr1NMBmJHyffgT/Tz8g+8OvwBUF72HNx59EoqIkJ/DDN6j/4RvA6YTtwkvBlw0Fk5sXdCFiWcheLwJL/oT7sUcArzv8xY2NaL7pamSWlMJUNhQAYCsboMNvYVBahFh7aa4khye9COvbMODAWGc5FXFRrom1HIhaOxVJQvI4zyY7nCoKnByeiISTwFl+ltGjkH3T9cpy87ZyEhQRYYheH3675HaMeep2MCyDpk07UDH/D2z/4Bs0rA3FkRcdPlZpy34/hBXL9CiXSDNKpk9Bv8dvU6/yAzgbwCf6VEQQiYFERQRhHBRRkclmhS03G57aJJpBTCicOmsGikYMUpb/mfs1fr5vpo4VxRdJ1dHBWkgQEm+cY4ai139vQMaYYWAdtraD1Tn5+hS2P/h8StNkj+yYkE44u+TpXQIRBVmW4W92Y828b7DstQ+w/dfFCT3+wNOOVkRFkj8AyevdxyuIjsBEifPUmuEdJslQu/hp7MqIoiLeFpp5LlXs0rGSxMIWJkbQz7AsYLEGfxB7umntznIw1pDbW3te7+g/BGyXLm2f6JWcYlbZ7dr3RkRSITc2wv/j97CdewEAgB8waB+vIJKG5mZ4nntyv3fDqAbJieiwKpciAHDtoZhbvTC6UxGr4SIty7Fdf0Z1K9OIqTbZWjsVkaiovZgdoes40U9CaiL+hDlJJ0hUxJV0Q+HrL4ExBa8PJEHA14edl5BjE8Zi52fzsfOz+VG3KTryQKUtbEufiU9JSRrEDzA8jyFznkDB6ceoV28DcA6ARfpURRCJg0RFBGEc6gB4ANgAILO0iERFScjBN12CoZNPVpbLl/yNj6fcYsiZbe1F3dFBHcbxw9qvJ4Z88iJs/XpG7dhjirsnsKpOQhX3QqIiwOQMxdrUbtqOjV/9AmdxAWy52S2RZlzbCC7VZ4JhmGC0mSRBEqVgBJnY4lDBMMFNGaZNjBhkGX6XB/4mV3BW5N7tWSYUBcYGY8EEnx/+ZhdEXwC8zRI8ZkukGqRgvBrDskqMGMtzYZFjkc6JaqGGvSAX2T26tRV2tGwT2lRGqxWazylJby1/G1mSgjFyLY/S3seWv1nw7ydCFiWI/gDKF/+NrT8twrYFSyB1IGKos8gfEIrH89U26FZHyhM1/mzfTkVqNyNGS9phsEsD3moNc3CSq/boWE2CMYWub2RJBGQp9P6pMxyDJ9g2uY7Rvrc7k9ra2B0t7PbIUWrJiCxJkOrp/seICGtCEdBcz97gDzkcwq8/61gREU/s198KfsgByrJvEw3wtBcuMyNsuWFHhU6VEGHXPAa7ZgM6z6mIjXINoyUWMrUSx1GMV/uxZofOAQGXR8dKiLRBTqyoiC8tQeHsN8AVFLQcXsaiaffDvX133I9NpB4My6Lbvw5Vlv2//KRfMUQ4Rrx4agf9nrq9taBoK4AjAWzRpSCCSDAkKiII4yAj6FbUHwCySouxZ8VafSsiwhh42tGY+MhNysBRU3kl5pwyFYIntV0k1KIi1kKionhQOOV09H/pwfbFy0UZCE9W5IqdwOARAICCIf10rkZ/TLaQsGrBgy9g+esf6FgNkWzkDeyttJu2letYSWoTdVa2Vt+I+jVhfbOpEX9WeEC/sN9Frq7UsZoE4swEuNBts/zkJKBmR5QXtEUGAJYHzFYoYiOWAcACLAdY7C0/DsBsa3m0Arw1+L3OsMEaWBbgLWD6HxSKHtsrYpIl1G36G3Jdi9iL5VqiyfY+7t1273vIwGQ2wcEIkF11bYt21QM+V7B4ngc4U/CH5QG+pQ059B+C5VuO1UqwGgYTqpthVCKs6AMYez93DMtC+HtFe/7kRJLh/+kHyH4fGLMFDMsi88nnUTu2LBjLR6QU3OAyWP99mfL/NlBVgz3PxicyMhXhMkPRZ7IsQ3CTqEAvwu+9jTcwpiUqkmJ0KmKj9C9IGk5FFtUkGcHri7gNERmLSljod7mjbEkQnYPmhJk4YBk7BoWvvwQuL+TOvfHVedjw4pyE1UCkFs4+3WHJywEQ/Cy733hN54qIVKbv4/+HbleGuaotRDDyjDpnibSBREUEYSwUUVFmaWJiGIj20WX4IJz1/pNK56nf5ca7J1+Jpl2pP4s/XFRkibIl0RHyJ52I/q88FDaQW791J5a89D42ffMrqtZswuF3TsUh/9eSPW5AUZG0+BdwR54EACgcNhCsyZTWsxl5lajIXRW76wSR2qidiupXb9SxkhQnmqiokwaWEtmB2xkUDRuotOWGOsCfHoNE3NhDlO9gOeAD6jrYXyQJgLc58nPNNe3fT24J4MiO+FT91rWAr/1Oavn5OWBW/xTxOfmbmdr1Jpr/+xKMMxcAIPy9UudiiI4g19bA9cT/4LzlDgAAY7HCcfd/4br7Vp0rIzob+/SblXOm0NCEdceei0A5ue20F84eij5K1RneRiHMMdWAbwVnijzhS5Ji+2W4aKKigBBxvTkj5FREoqLYMGeEBFkBd2pPUCSSkDgaFbH5eejy1mtgs7KUdRU/LcLvl90Rv4MSKY/a6R0ApDTpo0haUjj+rPvNl6F0+r/VqxYDOAYAKYCJtMJ4I48Ekd4o06IzS7roWQehwl6Yh0sWvqtk1kuiiA8mXY/dS/7WubLE4K1rVNpcljPKlkSsmIoKMPDN/ykd82IggG9veBhP9z0Gvz70InYv/QeCxxtuO27AC3j5j/nK4DpvMaN4dJnOFekLp4oRbNxJgzBEOHkqUdGeP8ixI150KK7KeKffmCgo66+0pTSKPuOGjQ4tVG8HpMiz8hOGPSvian8gAE8MgiIAyMnQuG7ze5NHUGTNUARFAOD/8w8diyH2B+9br8H33dfKsuW0s5D9zQJYplymY1VEZ8P1DDkqVr34FrzrNulYjfFgVaIiozkaphpMmJjGYKqilgjrSIgxXsdwrLZbsiREFhWZHCqnohivTdIdsyo6juLPiISQoPiz7OuuUQRFsixj3Qtz8O0RF8bteER60LB2MwItrm4Mw6Bw4Z/Iee8DOKZfD7a4m87VpTdGm0QXjaIpp6HPwzeqVy0BcDRIUESkIeRURBDGYufeBjkVJQes2YwrV34Kk6rz7+trH8T6z3/UsarE4m1oUtphMyuJ/ab/y/9VbNclQcB7p03Dhi9+arNdWIczY0C9sMcNNDcCGcEOhkFnHotdvy/TuSh9yCgpChMzNKaB2xnRfhyFebDlhAQF5fN/17Ga9KV9nSOhbTQFSgbrZCkY3Edpy7u261hJYuH6DQotVG7Rr5C92DMjrm7uwGz27Ax7xPVyU3XM+4obBd2VpizLkNZT/LORcc14AOYJR4ExmcAwDLiu3eC44VZw3bvD/cj9gJ8Gn1OJ4punIvOoQyC5PZC8vuCjxwPJ7W159EByeSC63ZCa3RBq6yHU1EKoqQu2a+sBjXilVEUtKpJEEhXpiVpUZLBLNmXCWyRidSrSuo6N9vk0O0KfY5FERTFhUbk8BSj+kEgAcgJERXz37si4cLKyvOOT77HoyrvjciwivRA9Xqx7ZjbKbr0cAMDwPMwjR8E8chQcU6+GuHkT6v5zGaStSXAfTxiSrPGjMOCF+9SrNgE4AUC9PhURhL6QqIggjIXiVJRVWqRnHUQLly/+AM4u+cry74+/jr9mvq1jRYknbHaaAaO3kpnMg0cq7d8fez2ioAho1aFn0PdAWrIQ3ITjAQBlk0/Gj//3WFi0XrpQNGKw0hb9frir63Sshkg21C5FsiShcVP6CDsSTgJch4w2cyu7R2imn5RGoiKma6nSlpNCVBTZqaixA7PZMx2RRUVoiiGOLd7kqURFHhpcMzrS7nK4HnsIjpvvUAbsGYaB7ezzYT3rPEg7tqN+8hlAHcW/GhVxxzawRcWKEMExauh+7U+orYdQXQv/rt3wbd8F//Zd8G3bCd+GLfBu2AxRNcElFeCyMpR2Ot4LJRPh8WfGumbjTNrd/WKMDlg8F9mpSCv6DADMqjgaij+LDZNKkEXxZ0QiUN+TMnG6Cc6cejmYlkhGKSDg1wtujstxiPRk+V1Pw5SVgX6XnRUmqmUYBnyfvsj/5ge4X38VzQ8/qGOVaYIB0xOikXXoaAz97EWwFvPeVVUIOhTRDGAibSFREUEYC1X8GYmK9ObsD55BlwNCUSCrP/gG3974iI4V6YM6eovR6HAiOganmqW2XkNQBKSGsEt880mwh/8LDMPAUZiHgWceh3/e+UzvshJObv+eSrupvNJwHdhEfMkfGIoUCTSRy25c6UBnSNgrwiZ8ajkVxXwIXXEUhiKo0kpUlJUdWkgGUZE1cmSZyxv7wFOGlsOkK3kErUy+SlRUl0RiJ6LDeGe/gcCi32E6cDwcV18Hxh683mUYBlz3Hsh6aRYazjpR5yqJjuJ9/SWYxx7Uafvjc7PB52bD2r93xOd9W3fAvWJ1y88/cK9YjcBu4/bzc9kh4SiJMfSFMeh9NQAwnHbtkhybqEjrOlYMaIveuNDgG8Qo4iOiLbw19LcTPCQqIuKPHKN7WazwvXoiY9LZyvKWOV9AaKa+DKLzkAIBLJp6D1Y9+Dx6nnM8Cg8djcLxI2EtCPZfMCwLxyWXwXzweNSeeiJA8bKJwWD9Xa0pPOd4DHrjEbWgyAfgDABJ0ClEEPpBoiKCMBah+DMSFenK4XdPw8DTjlaWd/6xHB9dcHNaCgDCREUG7nhLNlinPezv2bizQnPb8PfAoMKuih2Qy7eB6dYTADDs4jPSUlSU3atEaTfvocFTIpx8lVORu6JSx0pSn6ixEVqDMar4SXUspZY8STZYZ5Z61rlcviPKlimE3Q7wptByEoiKmKwuEde7OzD47LRbIz/haYh5X3EjP+QUJe7aGWVDwkiIG9ZB3LAOwsplcNx2D0xDDlCe43r1ifJKItkR1q4OW97++oeQJQmcwwbOYQdvt4KzWcHZrWBtFnBWC1iLGaylpW3mAZbVFuS2wtKzFJaepcg55VhlXaCqBu6Vq+FeugrNfy6Ha/FyCJXGuK7mVaIiij7SF/VnUDbYyBgbZbJXrE6ZrMb/RZni+eICb7EobRIWEgmnk11GLCNHoPCt18BYg/ccsihh0bT79vEqgugY7l17sPrx17H68dfB8DwGXj0ZIx6YDr5lIo1p0GBkv/Qq6i+9SOdKiaSGZdHzzqnodffV6rVeBAVFC/QpiiCSBxIVEYSxUEZweKsF9oJcuKvIGj7RDDz9WBx+9zSlk6l+2y7MOWVq2s4iCnPJiTIjjoiNrleF8sbFQACNO7Vn3ErqWYIGFnZJH70JdlowV73XUQdhwOnHYN2H3+pcVWLJLC1W2s0V1TpWQiQjeSqnooYN6eMUowes2aT5nKgxiKKOyZBUMz45jYEdI8WamJ32MDfCdHEq4sYeqlzvyUIAqNVZ1GKxazoVVdfHFgFk4jmYtMRzniSKE8pTiYo2btCxECIeCCuWoeGcU2C//hbYL74iuFISo7+ISGrk6irIoqh8Z+x4+1NU//B7zPuxdi2EvXd3OHqXwN6nOzIG9IKtZwmsxfkw5+WAs1s1hUemgjxkHXUoso46VFnn27IdzX8th+vP5XD9tRzulWsg+/0d+yXjCJedqbT9TS4dKyGMTDQH6VhFRQwTuX9BErXP1bJq0lM0oT7RFk51DyL4ku8cRaQeHB86X8gxXoMxVgtMgwaB71IYXMHzYLOywHcrhu2oI2EZFh6BuuHVuRAam/e7ZoLYF7IgYM0Tb2DHJz/gsDlPIH9McAKD+bAJsJ03GZ53ZutcYYpi8PgzU0EuBr/9GHInHqxeXQPgZAC/6VMVQSQXdGVPEMaiAUAzACcQdCsiUVFiKSjrj7Pee1zpwPQ1ufDuif+ByyAzH+MBORXFh27TL1baG79aEC4caoX6PTC0qOiLOZAvvgGMPThgeuKrD6JmzSZUr9mkc2WJw1mUr7RdFVU6VkIkI2qnouql/+hYSerDRREVCRqdrervQPXsbU7DQc5IcRCl40epxDUC5D27da4oMXDDxoQWqrfpL3bIKNB8qrIuNnchh03DpQgAvEnU2a8SFQmrVuhYCBEv+FFjYJtyqbIcWLlcx2qI/YZlg+fKFlEDrxWzuA+85ZXwllei9tfFmtvkjB+J4hOPQM5Bw+Ec0Avm/FywfOTvXEuv7rD06o68s08GAEg+H9zL/4FryUq4lq6Ce8lKeDds0d15mMvKUNrehiQ6FxOGgu3E+DOWjd2piLeG3HbEJBTvJTOcJXQPIpKoiEgAYSLEdjqQsfl5yH/0EdgmHgmmHcJBWZax7oU5+HPqPR2skiA6RvPmHfj+mItx0opP4OjeFQzDIOOe+yFVVcH33Td6l5faGCzNwz6gN4Z++TJsqgQBAOsBnNTySBAESFREEEZDRjACbSAAZJUWo2LZ6uivIDoNa3YmLv19jjLTShJFzDtnOir/Tu/rijCnIo0OJyI2etw7HeaW7GcA+Gvm21G3TxVREQAE7rsapodeA8MwsGZnYsrv7+GHGx7G8lfn6V1aQrCr3vemcoq3IkJwFnNYPN7uX/7SsZrUhzVFiT/Tii1Tz8qS1aKiyOdlIw2ydBsTiiaSK3cDonEEUfsD129gaKFyq251KGTkRVzt8frgi9H5Kk81cB2GLCePU1FGPhhLKHYv8OcfOhZDxAMmIwMZDz6qDGjJggDX7TfpXBWxP3D9B4IxmQEEBxFrFi6N27HqFi5FXav9Owf0QtEpRyH/8HHIHDYA1qL8iK4trMUC57iRcI4bqawTGprgXrYqKDRavAKuP5cjkOC4WS4r5FTkjdGBjiD2Es2pSOqk+LNoTkUmR0hMKHgowisW1M5ORnI1JQyM+pzQHpcRkwmFL78A60Hj2rV70efH0lsfw5on3+hYfQSxn/jrG/HLpOtxzPw3wVktYBgGWc88h9pzzoSwYpne5aUWBnUqsg/ui+HfvwFLUdgkrnkALkXQ5IEgiBZIVEQQxmMHWkRFmSVddC4lvbhi+ScwOx3K8jfXPYSNX/2iY0XJATkVdS4Z44ah9P/+oyxvW7AYm779NeprwoRdGvbkhmHFHxDnvQr+rOCMdWtWBk545UEMnnQCfr3/OWxPcSGFRRV5QKIiQk1u3x5g9w66yjIqFizRuaLURiv+TJIkzcEYdQyLpJrlyWsM7EgGcioqGNJXaUvlOkeAJRCma3elLVdt0bGSFjLyI66u60BETpfcrMhPNNeGieJ0JV/195ckSGnikJVOOG67B1xJ0I1KlmU033Urvc8Gx3bR5UpbdLkRqK1P6PGb123BxhmvYOOMV5R12WMOQLdzTkDe4WPg7N8TfIYjYnQan5WBzAkHI3NCKPLAt6Mcrj+XwfXXcjT/uRzu5X9DjqN7CK92KorRgY4g9hLNqUiWOif+LJpTkSUzFNUacHtiOl7aozo3GczkgTAoYQLBKOeOvThOOSlMUCTLMiSfPxitKMsQvX4ILg/qV2/EuplvY+dn8+NRNkHERNXvy/DLpOtw+AfPgOU4MByH3NnvonL8WKCxUe/yUoaw62uDfIlljD4AQ794ST25WwZwE4DHW9oEQaggURFBGA9lJCeztFjPOtKKC75/A9k9uirLfz33Dv585i0dK0oeUsklR29Yux1l37yhiLP8Ljc+v+Kufb4u1d4D6bXHIFpsYE86T7kh6TXxYPSaeDB2/LoEX/3nblT9s0HnKuOD2RGKoyFREaFGHX0m+QOQDORyY0S0nIoELZciIMytT1Ztx2o6FRln9nFWj25KW96zS8dKEguTHXKPw57N+hWyF01RUewROVpORXJtEr2/alGRi2KAUg6WhWXiccpi4M/f4f/sQx0LIvYLsxn2a26E5fiTlVW73v9ax4JC1P+1CvV/rVKWWbsNXU8/BkUnHYGsEYNgKy0GazFHFBpZSrvCUtoVuWecAACQ/H54Vq4JOhktXQXX4hXwrt/caQMnbEZIjOGuSawgi2iFQWfbA/tyKopNOKz1Z5CjfOZtuSrHLYrxiwm1ICxs8hhBxAn1/2UG+z7vmQeFnFxFvx/vOkbQZ5UwBDs++QGL/nM3Dnr5AQAAY7Uib+5HqDn2KJ0rSyHChLHJr8fJP3UiBr/1P3AOxR1ZAnARgFn6VUUQyQ2JigjCeOzY2yBRUWI46uEb0fuog5TlTd8txFfXPKBjRckFxZ91HsN+fhu8yg3ry6n3onrNpn2+LmxmkYE7P9WIzz8A8bsPYbrvRTA5oUHU0kNG4bKVn2LTV79gxRsfYesPv8PX2Aw5iv26kWBNIXcUEhURavIH9lba3uo6HStJDzizOeJ6UYp2rlF1oIjtiT8zjqgoozh0HpbTxUXEagdU52RU6u9UxGjEn9U1xu5UlK263gijYU/M+4oXTH4PpS1VV+tYCREXTCYwtlBEDmOK7BBHJD/8mAPhvPchcKWh/7OBxmYsb8fkCD2Q3B7snP0Jds7+RFlnLsxDt7P/hYJjDkHW8IGwFheExRDthTWb4Rg9DI7Rw5R1Smza4hVwLVkJ97K/4d9R3qHauKnBBgkAACAASURBVMyQ4NND13u6wqkE5rG6++iN2ilIjSRJEKMJ5CPAajgVRXPctOaE3BB9DRTjFwucyi1V8Hh1rIRIF1iVCFGOeq8bRGoIueh599SQoIgwFBtemYvssv4YdO2FAAC+dx/Yzj0Pnnff0bmyFMFATkUl06eg3+O3qVcJAC4AMEefigjCGJCoiCCMR0hURPFncWfwmcdi/M2XKss167dg3tnTU0bA0BmExZ8ZPXpLR3o+fDOcI4Yoy0tfmYsVsz5u12vDrMdTRFQEANi4GoHzDgV7wdXgTjwPTGY2gGDMXt8TJqDvCROUTQNuD3yNzWjeXYX6zTtQ/tcq1G7YBkgSeLsNrj3VqFq1Hq7KGp1+mX3jKCoImyFNoiJCTZ5KVNS0NYmcRFKUaPFnmqj7TyS1qCjybHHRQPFn6sGhdIkm4kYfqJyTZVEAanWOfTPbAIs94lP1zbGJiqwWE2xWS+Qnm5Loe7JfKFpB2r5VvzqI+ODzwffj97AcMREAYBo5Btnf/wb/t1/APeNBnYsj2oXNBsf1/wfrpMlhq0WPFwsPnwwYaKDRX1mDLc/OxpZnZyvrsoYPQrdzjkfehHHIGNgLfFZGu2PThJo6eFavD/6s2QDvxi3wby+Hf2d51Pg09fWHn2KjdEUt7kCMQhy9yehaGHG9x++LeV9mDcGnEOVzbMvNVtpuEsfFBG8JXZ/5XXQOIOIPy6vuVaPEGu5F2Bnqi7AVRz7XEEQys/jGR1AwfiTyR5cBABxXTiNRUWehHhdKYlFR6fUXoe+jt6pXNQA4E8D3+lREEMaBREUEYTyUEY0sciqKK/mD+uCMdx9XOg699Y149+Sp8NZT1q4aciraf7KOOBAlN1yiLFesWIuvrr6/3a8PtxRNvfdAeusZSG89A/b8q8CdczkYU1sHEZPdBpPdBmdRAYpGDMbAM45tux9RxNYffseCe2di529L96umkvEjcfr7T8GWlw2GZcOEhsG3o9XNk/o9kgGwLBiWAcOyYBgGDMuECcIkQYCrqna/aiRSC7VTUV2Kxv8lE5rxZ1FExeqzr1pUxGtEUBjJqcjsCLmJyJXpISpih48NLVRvB0SdB8edkV2KAKCuMbZoEU2XIgBoqoppX3Fj1IlguoTOe8K6NToWQ8SL5ttvAj/3M3DdSgAAXJci2C64BOL27fDNoajpZIYt7YGMGU+BLxuqrJNlGQ3LVuP3f10GfxIL+dtLw/I1aFgeOvewViuKT5uIohMmIHt0GWw9umrGpvF5Ocg4dBwyDh3X5rnAnir4tu+CUFkNOSBAFkTIYvCRLwid62kik76oRUVSOwbak4nMbpEnIDa5Y3c2tJkji5B9Ua49rNkhxy0SFcUGbwvFodPfjkgEjCpyrz3fO55fFkCWJDAsC5bnMOKB67DsjifiWSJBdCqyIGDlvc/iyM9eAACwRcVgS0sh7dixj1cS+8QATkWFk05oLSjaAuAEANThQBDtgERFBGE8wp2KGCZpv6SNDG+14pLf31MszyVRxLxJ16Nm3WadK0s+1LbXkTpUiejw2ZkY8smLyt/O19iMuWdeA8EbwyxC9Tkghd8C6e2ZkN6eCfaMi8AePwlMcWlMnzmW49D7mEPQ88gDMf/Wx7Dosdc6XMuxz9wVPgNUQ4DQURp3VtC5nQgjf0Avpb3nj+U6VpIeMBqRZR35X6l1njKKVTxrNoNRCaOkyor4HrCgCFzZcMheL+BxA64mSG434G4GXC7An5goCH5AyD0wGaLPoBF95vMH4IniFhCJnIzIsSgIeAGfO9bK4gIz7LiwZf9P83WqhIgncmMDmu+9HZnPvARG5c5gv/oG+D6eC3gp+iUZMR10CDKefAGMPeSeJnp9WHbxbdj17uc6VhZfJK8Xu979POx3tBQVoOtZx6Hg6PHB2LSiAk1h8l5MXQpg6lKw7+MJJCrSEzYs/sxYoqLsnt0irq9vjj2KzGG1RVzvrWuIuB4ALBkh8bJrj/EFhomC5Xnw1tAEquYKin4l4g/Lqb6z2nGuk6pr4P15AWxHHA4AGHLLZVjz7Gx4K5JkYgJBtINdXy+Ap7IGtsI8MAyDzLvvQ/2lF+ldlvFRTTZPxi5tPisDQ955XL1qM4AJUI23EgQRHRIVEYTxUL7kOLMZjoLcpI7zMSpTfnoL1qzQ7KrvbpqBTd8s0LGi5CWss1NjEJbQZtjC98HZQx11n1x8G2o3botpH+GdnCmsKmpB+uB1SB+8DvA8kF8M5OSByc4Dk1sApqQXmH5lYLr1AOzO4F2MJAIWmyISYHkeEx+9BY7CPMy/5X8dqmHP8jUoGjGoM38tBUkQ8McTb8Zl34QxcRYXwpIZEgGU//C7jtUQ6UbxiEFhwii5In7xe9yhE2H978yogtEwdz5ZDnZ+y1LwUZIAUQzOshUFQAgAgeCjLAhAwN+yzg/Z7wf8vuCj1wPZ64Hs8wI+D+DxgukzIHScquQVFdU3xe46kJMZ2alITqboM9UAh9TUCGHlMh2LIeJJ4LcFqD36EGQ88D+YD5sAAGAzM5H9xY+oP+EowJscQjciCJOZCedjM8MERQ0r1+GXg86BlIZxXb6KKmx55i1seSbkrGXvVYqik49A7kEjkFHWD7aSInAOOxiOjWlCRO2m7fEomWgnaqci2UBORSaHHY7C3IjPNXbAqSjDHvmawVWp7aqrdtsh99320//ko5RzhCSK2LNirc4VEemA2qkI7XTIq73rXnT9/iswFgtYnsOhbz+K746aEqcKCaLzkQUBG156H0PvuBIAYD7ksGAfs0EmfhmCJFMVFV14Kga98Ujr1UeDBEUEERMkKiII49EIoAlABgBklhaTqKiTOfzuaSgZF7JxX/7mR/jjiTf0KyjJEVVORSCnopjo9+pDsA8IRXssemoW1nzwTcz7SfH0M20EAajYAVTsgIx9OIiwLNjTpoC76HowLQOVB918Keq37MTSF96N+dCfX3o7+p04AfaCUIft0lfmYt2n80ODBXsfmFC02d626A+0+vFD9AcgBQS4KmvI6pwIQx19JosimrenR/wUkRx0HXOA0pZqqwFf/JxDTKdM2ueAa9jzDBNR0NzZX4Vy5dZO3mMH0Ig/q2+OfYBQM/6sKTlnxPu+Tl3nEyKIXFuDxmmXIuOJmbAcFYyw5Qq7wDnjCTRfc4XO1RFqTKMPBJsRnHwjyzI2Pfkm/rn+IZ2rSi7cW3Zg81OzsPmpWWHrWasVWaMGI3vkEGQO6QtzYR4YjgPL82BMHBieQ/6Eccr3XNPOPXqUT7TAqlwajeRUpBV9BgDVDbHdY9qtVpj4yEMHTeWVmq9jVa+h+9r2M/zfpyntimVrEEhDoSaReFheda5rp6gosGEjmt+bh4wLzwcA5BzQPy61EUQ8Wfv0LJTdcilYkwkMx8F2/oXwvNlxR3sCSRl/xtpt6P/MnSi+6IxIT9NFCkHECImKCMKY7AAwGACySouwe8nfOpeTOhSPLsPhd12lLFf+swFfXHmPfgUZAHV8C8WftZ/i/5yHLheerizv+G0pvr1pRof2lW5ORR1CkoIOR3/Mh2nmR2AsQXeog26+FEtfnBP7zY4k4dXRp2Pqhm/BmYMW5UPO/hd+f+w1VK+lmESic1GLivwdcCUhiP2hcEg/pS1XlMf1WIwlNLNdliTNGLqEU75O7wrAdKJTUXaGlqgoiSYqJEknJJFAJAlNN10Ly9KQM4Np2EgdCyIi0up+r+LTH3QqxHhIXi/qFi5F3cKlmtucLIU+/yQo0Bd19KtsoO8kZ1F+xPVevx9ef2xxqZkaLkWyDDSVa4veGFX8iRhjRGs6U3rQcKVdWNYP466dAkkQIAUESIIISRAgBgR4auqx5cdFkAIBHaslUoWw+60YBJT+deuVtpGElwSxF29VLXb/8Ae6HXcoAMB22ukkKtpf1A7XSXBesPYqwdDPXoRjcN9IT1cDoIttgogREhURhDFRREWZJUU6l5I6sGYzLvz+DeWGKuD2YN7Z0yF44jcjPxWQyKkoJthMJwa++ShyTzxCEWG5qmox9+zpHe4USoYLdcOwaxsCN0+B+an3AQDZvUrQdXQZyv9aFfOuGrfvxtzTpuGcz18EwzCwZDpxzsfP4ZWxZ8LX2NzZlRNpTP6AXkrbHWVWMNF5dObgkda+jCLEze3bXWlLFTvjezBTKGoEiz+B9MkjAGcCeBPAmQGTOfjImwDeHPzhVO29yyYzwFuUdUzYdqaWtiV8P3uX1ceTJchLPwdqdHbEZjnAnhnxqbqm2L5veI6DQxVLEkYyiYqItIQ/YFjYMmOza2xJ6IX/twWQaqrB5uWDYRgc+NmL+CJrVEwDkURk+Exn2LVBwE39EHrCqiKBjHS/7egSWVTU7IldhJzlyIi43lNTB9Efue8ib0CvsM9x3ZY4XzumENbs0LUeb7XguCdv09x2yUvv4fMr7kpEWUSKo/6/zNjtYPPzwfBc0A2WZYN95G3aDEx9Qn0UrIajGUEkOzs++UERFfGDBgNmMxCjAJdQwahEijoLsh1DB2D4N6/BHH5d9AeAGwGUAFgIgC62CSJG6BufIIyJcleeWVqsZx0pxZT5b8CaFeo0+fKq+1C1eqOOFRmD8Pgz/epIZvjCPBSefTzyTpmIrEPHBm/QWwh4vJh75jVo2rUf9vbqC3WDDFLryvpVkGVZ6ezkrJYO72rTlz/jt/++iPG3/wdAUPxx2uz/Yc4pU3W/gSJShzyVqKhhw1b9CkkntIRA7X29eoaW1r5UM+CTmaweXZW2vHtXfA/Gq0RFUsv1hRgI/sDd4d0a/mzsyIbWp6+hOba/S3aGQ1vQ1pxEoiJO1VVB36dpg+xqNehttQJOJ9BMYu2kweOG6793I+OxmQAA3mnHoPuuxZo7ntC5MONjzs8NW/a7Ov69R+w/YU5FknG+h2w5kUXIzZ7YJ+PnZ2VHXN+4S3uSQ26/Hkpb8PnhrWuI+bjpiiQIYVFU0Tjg/JPw60MvoX4ribaI/UNUCSgcxx8Hx/HHxbwPU1ZkASJBJDtb3v4UY568DZzFDIZl4fjPVXA9Tde0RsfWtwdG/PAmTHk56tUzANwBgGz+CGI/SBI/eYIgYkSZLp1ZSk5FncH4Wy9H6cEhe/0Vsz7G8jc+1LEi46COPyNBC2DuWoiiyydhwOzHMXLVlzi4aSUO3PUb+jx5J7KPOChMUORrcmHuWddi2y9/7dcxjdTJmQxwV98bNqBau37rfu3vpzuewLafFinLA046EhPuuXq/9kkQatROMTUr9I9hSgfCXPhUcFHiuNRnYrWNvKQhiOBMxpjf4SgMxW5Ju7bH92DqWa5C5PcgLXHkRFwtSRKaYozH0Yw+kwTAnUQDfzkhMZu4ZYuOhRCJRFy7Gr6vP1eWGYaB+YhjdKyIiIT/26/g//E7Zbn7pWfqWE3qYM7LClsWPD6dKiEA4zoVmZ2RHd68/tg/T1kOZ8T1Neu0476zSkPf357a+piPmc58cN4NqPxnI+q3laNxZwWadleiubIG7uo6eFqJs8wOO67d8gOmrfsaPY84UKeKiVTA17j/8eoMx8KSH/l+hSCSmUCTCzs/m68s28+frGM1KUaCx4i4DAd6P3wjRi/5CAeu/1YtKBIB/BvALSBBEUHsN8boySYIojUhURHFn+03xSMH46gHr1NEBtVrN+OLqffqXJVx0Bp47XR4HrzTDtZhB5fhAMMyEF0eiE0uCM1uXexJ+dxsFJx9PHKOOwzO4YNg6lIAth2DxILPj8XPv4sFDz4Pd3Xdftchk1NRu2FPmAT2X2cpy5u+XgDXnur93u/so/6Na3f+AmdxAQDg8LuuQsXyNVj70XfRX0gQ+4DhuDCnmMpFK3SsJn2QNAQtXDR3IdW5WD0QJYpi5H2ZTRHXJxvqwSl557b4HkwtKhKpv0fBmRtxdbPbCylGYXGWI/Jgo9xcG3NZccPiAJMRErMFlvypYzFEovF++D4sx52oLEvbSVSWdPAmMNmhwUNzTlaUjYn2YlJFH0mCoHktQiQGozoVaV1fChrXo1owAKzmyI6+TburNF+X0bVQaXtqSFQUC2s/+i5q/4GzayGu3/lL2ASpvP69cMF3r2HeOddhzQffJKJMIsX4/fHXUTbpeHAm7XvTfcV5MwyD0lMnYuMrc+NSI0HEk7Uz30GPM4MOXWxuHkwHj0fgt4U6V2VQ5MSLsPnsTPR+8DoUnH5M66izvUwB8HaCyyKIlIVERQRhTBR/2yxyKtoveLsNU358S3EUCHi8mHv2dATIarzdSEJsnVORsA/ui7zTj0XW+FGwDegNU0EuGI4Dw7XkdQPaUR0tyKII3649aFy4GFXvf4nar37pVJcDU1EB8k89GlkTDoRj6ABYSorA2qz7rGsvvsZm7PpzJbb9/BeWvTYPTeXaluGxIqs7CElUpAl75MngrrpLec+8DU348oq7OmfnkoRXR5+Oqzb/AN5iBgCc+uYjeGXtZlSv2dQ5xyDSkqzS4rAOvj2/LtGxmvRB8kcWtHBsFFGRJAMtT6sHogJi5O8i3mbtcH2Jwp6fA1b1u0i74isqYjgSFUXEEVlU1NCB69UsDQcDNO+/yLnTyA+5s8myDHH13zoWQyQa25RLlbbs90NYsUzHaog2MAycDz0G04jRyqomigzvFCRfaJIMy1N3rd4Y1alIqz9ASxSgBRvFnTPg9mo+5ywKDeh5apPIATEFaC6vxOIX5mDU5WeHXZ+zHIcz3nkUsybWYPuCxTpWSBiRPcvX4AFzGXL6dIfo88Pv9kLw+iD5A/sUt144fxZ6HTEOAND336eTqIgwJHt+WoT6fzYge0g/AEDGTbei9rSTdK7K+LR3vGR/4HOzMXLBO3AM6qO1yY0gQRFBdCp0l0oQxkRxKsro1iXYaRBjBwER5JKF78KSGbJ0/urq+1G5iqJlYkEMxDboZ+nRDQXnnojsIw+CfVBfmAvywiLBOgrDcbB27wpr95NReO7JkGUZQk09XKvWounPVWhetRYQJZgKc2HKz4EpPxes1QKwLTNrWA4Mz4LhTWBMHBieB2uzwFJSDGv3rmCslpgERHtWrkPlqvUoX/w3dv6xHNVrN8etMzJc2EWiokgw444Ed+NDynsoeH2Yd+pVaNxe3mnHaC6vxNxTpmLSVy+DYRhYMhy4avWX+OG2x+FrbAbDsmA5Fgyr/mHC2k27q7Bi1scQfYl33iKSk5zeJUpbEkX4G5t1rCZ90IocMUVxKpJVs7LUHf0Bjc5Yky3y7O9konT8KKUt+/2Qq/bE94CqQVRZQ4yVluREnkTQ0Bx7XIG2qCiJnIrye4TaXu2BSyI14fr0U9qM2Qzn0y/C/eA9kPbs1rEqYi/26TeHOUl5K6rw6+EUFdEZtHEApn4eXQl3KjKQqEhn7AUhFzMSFXU+X069B19OvQfOogL0PmY8Tn39ITAsC85sxrmfvYD3T5+GLfP/0LtMwoDUbYo95nrT1wsUUVFm/56dXBFBJI51M9/BuOfuBgDwQ8qA3FygNonuj41CApMUTPk5GDz70daCIj+AtQA2AXgfwJy4FkEQaQiJigjCmChORZzJBGeXfDRXaNsPE5E57uk7UDR8kLK87NV5WPbqPB0rMiZqQQvDMMEBwZYBVGuvUuSefBSyDhsDR1mLu0+Li0u8YRgGpvwcZB9xELKPOChux/E3u1qEQyuw68+VqFi2BvVbd+77hZ2IqO6AJqeitvQdDP7Op8EwwdmWYiCAD868Btt+WtTph9r8zQIsuG8mDr3rKkXAdNR/r49pH7l9uuP7Wx/t9NoIY5LdKyQqEpo9OlaSXoieyEIGhmFg4viI7kOyqBIVqcSygoY4xmS37WeV8adoROg6Sd5TDsR7UE0t2iKnoiAsByazMOJT1fVNMe9OU1TkSh6nIia/VGlLddSZm274vvgU9kuuUJYtRxwNyxFHB11JP/8Yrjtu0rG69IYbNAS2i0Pvja+6Dt/1ORqSm65POgNOJTaWRJEERTpjVKeiRDgDRPtsWrMylLaPJkPEjeaKKqyc9TFYnsfJrzwAhmFgzcrA5G9exd/vfYXfZryMPStpwiQRXypWrFXaltxsHSshiP1j01ufYMTDN8Cc6QTDMMi89XY03nyD3mUZjwSJikqmT0HvB64DF96n9g6AaQCSp2ODIFIQEhURhDFpAtAAIAsAMkuLSFQUI/1POhJjp4VmVO5e+g++nHafjhUZl9YzKsdunA8uwwHOYY/JgaipvBK7l/6DPSvWYs+q9fDU1EPw+uBvdsPv8kDweCH6AxD9AQgtLi6c2QTObILZYUfR8IHoecQ49Dh8LArL+oW5RHQWviYXKpavQcWy1di9NPhTtXpjePyYDoRZEpOoqA2me55XZppKooiPJl2PjV/8FLfjLbjnGZQeMgq9juqYmC2nT+m+NyLShhyVqMhbQ/fGiULQEBUBgImPLCqSVN8FrCl0m+XTcPQza4k7koiCgb2VtlSxK/4HDIs/I6ciAEBGvuZ3e2VdbA4AVosJZlWcYhhJGn8mlSdWqE3oj/uZx8CYTLCeOxmMKTQZgeE4WE85A4zNhuYbpulYYfpiPf/fSlv0+fHjASeRoKgTYa0qUVFr1yIi4RjWqUgr/gyxidQ6Kk7iLKHPcbTraaJzWP7aPGSVFuHwu6eBYRiwPI+h55+EQacfjR/vfAqLnn4LUozu4gTRXuq3qK7TWeqLJIyL0OzC5jc/wsCrLwAAWP91AomKkhGGQY9bL0fvB9tM3v0HwJUAGhNfFEGkFyQqIgjjsgN7RUUlRSj/a5XO5RgHZ9dCnDXvKaWTxFPXgPfPuAaCN3LUCRGd1hnblpLIER1q3NV12LloBcr/WoXyxX9j95J/OiSM29tJ5a6qRf3WnVj78fcAAJPDjm5jh6L7IaPQbewByOnTHZndukCWZfgam5UfwesHZBmyLAOyDDEgQBIEyKIESRAgCSKayitRtXojdvy2DNVrNyfljFGJnIo0YY89C0xeyOHhu+n/xboPv437cd855mKc89mL6DqmDAAgyzJkSQp+1iRZWYYsQ5ZkZJYWgW2J/anfkoCBe8IwZPXoprRdu+IcPUUoCC7tQVKLyQS3r+0giRQIiYq4MFFR5DhDk90K3mZN6gEXtVOWXNF5cZGasCFXAHIqasERedavIIiob4ot/iw3M0P7SVcSOQLlhcS1wob1OhZC6IIgwDXjAXhmvQrblEthPX8KGNW5wXLM8TCv3ARpxzY0XjoZ0u4EnJsIAADfu6/SLn//K/hoYlOnonb0bX2PTSQe9bVceNx4cqMlBoq1G4OJEqseTWTFW0LiZcFLkd6J4Od7n0Xdlp045dX/Km6pJpsVxzx6C7ofMgrvnXaVzhUSqYo1O8q9BUEYjLUz31FERYzVCsf0G+B68jGdqzIwnTw+YcrPQdncp5F9+Fj16ioATwN4AkDs2fAEQcQMiYoIwrjsBFAGAFmlxTqXYiwu+3MeeHOow+6jyTclPK4qlfDUNcJT1wBbTlbE5901dahYvhZ7VqzF7qWrsWvRCtRu3BbXmgIuN7b++Ae2/pgeWfIizWTVhD03FNGwa9EKLH52dmIOLEl474TLwlZ1GT4I+YP7QvT7IfoCkAICBL8fos+PSV++DEumEwBQ24EseyJ1yerRVWk3bt6hYyXpheD2QJYj94OY+chOL6JKnMyp3AZcHm2BkqMgFw3bk3dA3FkcEmVKFQm4VqL4s7bYI19fNXdAjNYlN/K+4PcCPnfM+4sbqvgz4e+VOhZC6IlUsRuuR+6H74tPYDn1TNgmhVxmGYYB170nst77FHWHjdaxyvSCyQydQ5rXb9WvkBRFfe1A93f6wxpVVKThFiLHqCqKNhYYbV+cOXSdLPrpWi5RrJz1MTZ+vQAnPHsXBp15rCIuG3jqRAw8daIyAY8gOpODbrxEaQsxTnYgiGSjcd1m7P7+NxRPPBgA4Lj8P3A99wzgJ4Fsu5FC1wedqSky5eVg2LevI2P4IPXqzQAOAbC7845EEMS+IFERQRgXZWQxs3TfzjBEkEmfPI/Mbl2U5Z/vm4kNX/6sY0XGRxZFvHvSlRg+5VQE3F40V1SheU8NGraXo2bdFjTurNC7xJQnrLOOnIpCFHcHUxgSZPz+8Eu6lXLyrBkom3xyu2zk60hURKjI6h4SDtev3axjJelHoLEZ5ixnm/UOqy3C1i0dqcUFAACTLTQw6PH7IIgi+AixnI7CvKQWFdlyMpV2IpyKGFb1NxJoIAqApqioqQORQ/nZmRHXy3VJ5JDnzAVjcSiLgcXpIRAntBH+Xgnh75XwvjMLzv8+ClPZUOU5NicXbL8BkDas07HC9EFublLaWSMH61hJiqK6TzBU3FaKwqniQg3lHKV5vxmrVVE0pyLtfYXpjahrIqG4K2sw9+xr0WXoQFzy+xyY7MF7lokzbsL2X5fAXZ1EUbeEISkY0g+FZf3gKMhF6SGjMOSs45TnNr/zuY6VEUTnsPS2x/GvI8aB5TgwJhMybrsDTffcpXdZxkF9EdBJ4xPW3qUY/t0bsKlctAF8hGDcGdm5E0SCIVERQRiXkKioHXFTBDBm2mT0P+kIZXnjNwvw873P6lhR6rBj4RLsWLhE7zLSFn9zqxlBLAtQRzT46fcrIh5XVS02fKGfgLDnxIPaJSgCgOp1W+JcDWEUGI4LE8LWLF+rYzXph7e6LqKoKMMWWVTkqw/Ft3MmE1gTr8RTurweZDna7stekNNJ1cYHk92qtKXdCXAqoviztmiJiqJE9GmRYY/82UV9EgnA87srTVmSIO1KIsEToSvi5o1omHQqcr7/FVxRUDQuyzKkXeQ4myiEv1eCH3IAAKDopCNgys1GoLZe56oIIj6EORUZyDlKHReppjPjz6LuTNUP0d77X6Jz2bNyLb6Yei9OfeNhAEBev564eOG7mDXxIjTuIEMHInYsWRk4453H0O/4wyM+729oxqKr7k1wVQTRE8KShgAAIABJREFU+dT8tQpb3vkcfS44BQBgO/tcNM14GHAnkatvMiOrxiI64Rogc9wwlM17BhZVvyiA/wG4BTGrpQmC6Awi32kQBGEElN7TTIo/2ycFZf1x3JO3KZ0a9dt24cPzb6IZgERK4G8O3dwwDAM4IjsRpBPMwRPBHDBGWV7y7GxIAf0GqFe8+kGbdYLPHzbrVfT78fvjr1NHH6HgLMoHy4cGNCr/pBigROKprIm43mm1R1wven1hcRAmW0iQoxWB5ijM248K44s9PydsYEpOuKjIOAN4caUT4880RUWuJJq5rhYVeajzlmiF1aoIigBA3LoFcFPcRqLwvP4i5EAwAoLleRz45cs6V5RaaIlBCH3gVKIiI8XRaYqKYhx7ixp/FqUfTe1iRJ9p/Vjx5kfYvWy1spzXvxfO//IlmDMcUV5FEJE5fubdmoIiwePFNxMm08RGImVY9cDzSl8tYzIh4//u0LkiA9FJTkWm/Bz0efQWjPjl7daColtAgiKC0BW6uicI46I4FWVR/FlUWLMZF/0yG2xL7Ijo92PuWdfCU5NEAygEsR/IYqubd7NZn0KShV4Dwd/2hCIibCqvxF9Pv6VrST/f+SR2L/0nbN2XU+/F/aYhuJcZgPv4wXjQPhzf3vCwThUSyYjaiVCWJPjJDSChaIqKNJyKgPDzMa8SFTV7I4sjMlri0pKRbgcOU9pywA+5pir+B1UPPknGGcCLJ4ytc+LPzCYeFrMp8pPuxsjrdYDJC4mKpOpqHSshkhKvF2J5yL2KdbZ1gCPih7RrJ7xvva4s54w9AH1vvlTHilIYGirRnTCnIgPFn2mN4ckxWhVFcyqKOjmPzImShpdGnoZN3y1UlgvL+uP02Y92WiQNkT4MOm2i0pYlCZ7KGjSu34o1T83C+/kHom75Gh2rI4jOpXH9Fmye9YmybDvtDB2rMRix2iK2guF59LjtPzhw0w/ofv3FYENRtAKAKwDMAF0lE4SukKiIIIyLIirK6FpIM4CiMGX+G7DlhAZkvp7+EMr/WqVjRQTRuUiiGL6C1xg0TAey82B6/B0wXLATWJYkfH7xbfDW6z9gOmv8efA1NivLx8+8C12GDgAAyKIIufX7SKQ9alGR6KMoqETjqayNuN5h1RYViSpHNHV0WKMrspNGRrcuSdux33VUmdKW9+xOzOxT6h4Kx2LX/E6PVVTkVInc2uBuiGlfcSW/VGlKO7bpWAiRrLifeUxpswWFYPv217Ga9MP9/FNBhygEHVIHP3wjek2bDN5px4B7r8HYT1/A8NceAmuNcs4hCAOgGshKz/izKNenajciNQVD+iKrRzdlWfD6Yjso0enMPuZi7PhtmbI84OQjMeqys3WsiDAcDAPealEWfzz1KsztcjA+HnAs/pr+IIQY70kIwgj8PeMVpc1YLLBf/h8dqzEmsUag2vr3wqhFc9H7gevAh7vqbQcwAcBLnVcdQRAdhd/3JgRBJClKBgXL83AW5aOpvFLPepKSw+6ciu7jRynLq975DIuff0fHigii85GE1qKi9P165657EEyrAf+Jj9+KmjVnoXr1JtRu2IqA2wtZFCGJEmRJgrz3UZIQcHuxa9GKdgt8ikYMRtexQ8HyHBiOC3tk9z7uXWfi0VReCUtmcFY9ZzbhzPefwsujz4C/maI7iLZkqmx+A03NUbYk4oG3KrKoiOc42MwWePxtB0pEr0+JPeNtoc7XRnfk948z8bDn58CtcSw9KRjUR2lLFbuibNmJyCrhEpfGAtm9OLXj8RqaY4sGy3BoiOFkGfA2xbSvuKKKPxPWr9WxECJZ8X32MZz3PQzGFHTm5Pv2h3/jep2rSiO8XjTdOA1Zsz8AY7WCYRgMfeZODH3mzrDNup5+NOYPPQne7RTr214YNjlFxukKy4XEOW3ut5MYbVFRbOLw6KKi8H31Pno8jnvyNuQP6hP2Ol8T3eMmA68deh5u2LUAzqJ8AMDhd0/Dkpff329HCSJNkGXUbtyGvP69AABDbroEOz+br3NRBBFfGtdtxs4vfkLJCRMAAI7Lr4T7pRf0LcoAxOqKuJeM0Qdg2LevwZSdqV5dC+BhADMBUC46QSQJ6TvqSBDGxwWgDkAOAGSWFpOoqBUlB43AhHuuVparVm/EZ5ffpWNFBBEf2ghg0tWpyGwFO+awsFUMy6JgcF8UDO4LtNOxtmLpP3h19Bn77GQrOXgkpix8t6PVgmFZ5A/ohRNeuBcfTb6xw/shUpeMroVK21eXRE4iaYJW/BkAZNodEUVFQrMHaHFHNKmcYRrdLsiyHHGAxlGYl5SiIvVMczlRoiL1IBVHt6pw5kZc7fX54fPH5l6WYdcQFXkak2dQiWGB3BJlMbB8qY7FEEkLy0KdryNrOMER8UNctwZN109FxlMvKOKu1piyMnDwt69h/sB/Jbi61KCjgzJE5xEmnElSV8lIdJaLeVRRUcvnc+Rl52DCPdPgLC5os72rqhZrPvi2U2oh9hNJwoeTb8SF378BIHiPacvJgoeitYl2svz1D3HUQzcAAArHj4Q5OxP+JHADJ4h48s+MVxRREZuVBfvV18L9zFP6FpXkqK9B2nstm3vMIRgy9+nW7kQvA7gJAHWEEkSSQXlJBGFsqvc21G4GBGDOdOKC715TLmb8LjfmnnUtAi4SNhOphyS2mnWYpgOx7CmTY7ZXjUTRyCHIVzl0aJHdu3Sf27SHoeefhOEXUUY30RanSlTk3qMtcCHig+j1wd8Q2WEo2+GMuF7tKMWrol8kSYLHFzkCwtlF241GT5zF+Upb2pMgpwmJnIrC0BAVxepSBADZ/8/eecdHUa1v/JmyLdlsek+A0HsJIAiogIoNEBQRr2LvvaFe9Xf12iuKvSuKeBFFVOyoCNhAKdJ76ISE1O07M+f3x2xmZ5Ld1E1my/l+sp8950x7t2R25pznPK81MWg7cUTQgFJKDhiVMNr31586BkOJVJgkGxhVWiJx5zYdo4lffCuWoeaS8yHu2aW0EbcbRPVbZ+1ZhKT+ND1ds4ki4Uo8oBkY64gUsOEixNdIaqFQLeS3kWFw4n3X4e6qvzHpjYeQlJeluQevPXwUS+95Bi/2mIBj2/e06JiU9qOqRDtBgAoXKS1h9asfwevvT2dYFoMeuFHniCiU9qd0+Woc+WWVUrfeeAv4QUN0jCgKMAXcuonH2+iqrMmILg/ciAFLXlcLigQA5wG4GlRQRKFEJPE56kihxAZWAJ3rKs7ySh1DiTyuWrUQxsQEpb7kmgdQtnmnjhFRKO0HdSqSYcdNUsrbvvgJiy68A0Unj0LnE4Yhp7gPUrt2giUtGQzL+tMLMHLfPcMADMAZDEqHKG8KPutaza5vlkNwe5T88oLXC2dZJYhEQCRRfhZFEFGCJIogkgRHWQW2ff4j1r//OW7ZvRRmv7XrmS/9Hw7+uZ6epygaknIzlbLzYKmOkcQv9gNHkJbcvUF7cghRkacqkEaK5VjwZiMEt9yZYnc5kaASGtWRmBWZoiKL33EJAEjpoQ45JpHEwCAWFRWFFhW1QiSfbE0IvsAeQS5ZqtRnRBCAGjoDmhKEegOhXJ9+kA53zDmKokXYsB5VZ08A170nmORkiNu3gTidSP1uOdisbDAMgy5XT8eGmx/RO9SogOE4pdzcVMyU9kMrKqICDNZoQKfRxUjt1gms6rtaR9nmnfjtmXew4cMvILbQTZHS/qT16KKUJUGAm7rgUlqAp7oWWz79HoMungIAyD1tjM4RUSgdw6obHsJZf30KzmwCw7JI++hjVF55KXy//QoA4Pv2RcLlV0MqK4X92acBQdA5Yn1hVKIiqZFrAUNWOgZ9/SaSivupmx0ApgH4tr3io1AobYeKiiiU6KU/ACMAeGrs2P/bWp3DiRymzH0SGb26KvXVL3+IDR9+oWNEFEr70mDmZIg0BDENy4LpFHAX2rp4Kbx2J7Z9vhTbPl/arF38R9yizBBOLiqAq7IGLM/5HzxYjgXL8wATECPtX/k3ik4ZBQAQPT48V3BiI0fQ8v7Jl+Cq1Z+CYVkYEiyY9vHzeGvEdOqoRlGw5gScYmpLOij9FEWD82Ap0vo1FBVZLcFTSRFBAJEkZSCKt5g1oqKs1IYikUgVFRkSA6+RHD3SMQdVD6LGqeueGiaEqKiqtuXpnqJOVGSvbWRFSjxDaqrh27QBhn4DAACWmZfD99MPOkcVxxACcYfWLcq39i+YTjsLAJAybIAeUUUlGlERFbHojjwJxU8cu7oYkxLR6YRhsOXnaN8TP3uXr8avT72FHV//EtfvU6RTcyBwLc/yPK7+exH+fn0B1n/wOQSXW8fIKNHCob82KqKiBNXkJwollqnatAN/3vAQRr39KACAMRiQ+t48eFcsh7h/LywXXKT0/ZjPmoTyE0fpGa7uqF2HpSBORWyCBXlXT0eP2ffWX7QfwBQANP85hRLh0J5aCiV6UUagag6WQopzJXQdgy6ZioEzz1bq+39bg29ve1zHiCiUjkESxcCMwTh0KmLHT1Y64iVRxPYvf2rxPgghikPGtE9fbPH2pqRE9L9gIjZ+tKRZ6x9esxnLHnwR4x66BQCQ1a8HJr35MBb9644WH5sSm1hzAp11Nbv36xhJ/OI6GjztXJIlhEAD8jmI83csGSxmuCtltxW7O7hgMDEC05/ZCnI0s9Clkl2NrB1G1INRbMNZ8HEFwwCJKUEXVdtbJiriOQ6JloYuWQAiSlTEZATSikpHj+oYCSXS8X73tSIq4vsP0jkaSn0Yc0CUKjpdOkYSXTC8WlQURem2YpSoTX8WJkwpNvQ+5zQkZKQ0SDFOJAlbFn2P355+GwdX/aNThJSW4KnWirVzi/th4usPYexDN2PZf17A2nc+pf3KlEaxFeQo5VApwimUWGTnO5/AlJ6CoU/NAgAwDAPTiSc1WI/LzYPxpLHw/rKsgyOMIIyBSc7Ep/1NSR4zFH3efQKWbp3qb/UqgHsAUJtiCiUKYJtehUKhRCiKKFDy0Rs/AMjo0w2T33pU6fCwl5Zj4Xm3QPJR62VK7KOxyA9iRx7rsGddoJT3/7qmVSkhw2HTnje8ZbOxlz/8Cvb/vk6pD7hgIo67aWab46BEPwzHISEjValXb92jYzTxi6s0uKjIZDDCEMJJR23zzKuEHHZXcFGRJS1F404QCeQM6auUidcLcqyDBB7qQSsSfwN4GsxJABP8dr3G0bJBeluipcGAoEIEiYqQHuhgFPfRcx4lNML2rYEKT+fKRRp8/4FK+diKv3SMJLpguPgWsUQcqt9NIkVROroQZkEhrwPqkZCZhrzhA5A7tB8SM1M124mCgLJNO/HG0HOw8LxbqKAoSrAV5uKy5fOCLrNmZ2Di6w/hjsMrcdF3b2P03VfBZAue5pkSv7A8j16Txyv1ijWbdIyGQul4Nj39FpadexM8xxrvazZNOL2DIooeOJsVPebchyHL5gUTFN0P4HpQQRGFEjVQURGFEr0oU5TNqTY944gIWKMRl//6EVj/7D5JELDwvFtQe4jOcqbEB5Ko6ng2xJ9TEdM9MAC+eWHr0i//cOeTkARthzEhRPuQJM1DEuseIqr3H8GyB1vucPTe2JlwVVYr9QnP3o3CUcWteg2U2KF+SqyqrR3kFEPREMqpCAjtViS4PErZoBIVOVzBhSAMAyRmBk9zpRdZ/XsoZVJeqk86i3hPoZGYGnJRTQvTZIZMfUYkwFUdfJkepAecioQtm3UMhBJVxPu5IsJgc/LApgfStyYP7a9jNNEFFRVFFhqnoig6zZBWBmsrzEHB8YOR2acbDBazRkzkc3lw6O+N2Dh/Cfat/AuVew6EK1xKBzDlvSeQ0qVAqXtqHajcc0DzXUnISEW3CWNwyhN34oo/PoY1N0uPUCkRhjnFhomvP4S7KlYho3dXpX3f4qU6RkWh6MO+Rd9jcc/TseGx11CzfQ/sew9iz/wvYS8J/CYaj4/v9GfwBlKeMUYDsqafgRGbv0HBTRerr6skAK8B6AXg0Y4PkkKhtAU6pYtCiV721hWS8rLA8nxcW9Ve8dv/YElNVurf3/kU9tFZkZQ4Qu1UxHB8qAmKsUm/oWBUs9S3LPq+VbtZ/cp8rH5lPozWBAhub4edUyWvF++MvgDX/fMlWJ4DZzDgvIVz8HrxVDhKyzskBkrkYVWlxCKEwN0K9y1K2/FW10L0+sAZG4o1rRYLKuwNJ1QJdifgd5niLSal3eF2QZIksGzDeR2JWWmwHykLY+RtI71HF6VMjh7puANrnIri6pesIUnB0+K53B74hCCOCbwBSM0DOIMsFiKS/B5KEmzdegKF/QPtkn+Zxw6MOBcQBUASAFGUnyXR36Z6lgRVm08ui4K/7GtYbim8EUgJpFXwraXX8ZTQkCrVbyLPgx85GsIfv+oXEEWB1NaAOB1gEhIBALmTxmHs+i+wbNBknSOLfNSuhUSK89/ACEAtqiFiFIm8Qlw/BfUpYhhYszOQ2q1Qk/ZW3g2Bp8aO0n+24di2PXHd3xjNJGalo2j8SKW+9fOlWDDlBgBAbnFfnDt/NtJ6dtF83zP7dMN1G77AD7Oexrr3FtFr8jiF5Xlc8OVr6DRmqKbdV2PH7vcX6xQVhaIvnooqrL3vOay97zmlrevFUzBm7pMAAC4jU6/QIgKiEhVln38mss8/s/4qWwFcAmBVB4ZFoVDCCBUVUSjRy766AstxsBXkoKokPmcLnfPRbOQN7afUN3y0BH/OmatjRBRKx6NxKoqzNBDcuIlKuXzbnjY7lHntLXOACAflW3bhq+sewMQ3HgbDMEjKy8K0/83G+6dcpk1tR4kbErMDs/wJ7cTXFdfRClgLshu0h3Iq8tbYlTJvNoFhWdnZjBA4PW5Yg2wnf97bwhZzW0npGpjNLJWXduCR1UNecT6AEUJUVFnrCNqO1Dww1uCOVyld+4PJ7RF0GdNjZND2tkIEX0BkJImAEEJ8VFdOL1RmLxJCIKxb0y5xUWIDYfNGiAcPgMsvkK+bnngOlWOP0zssCgDisMM552kk/vtBpS15YC90veVi7J7zvn6BRQHUqSiyYNjYFTozHAdrTgaS8rNhMJsaLPfU2FFacgQba74Omo62uanUKPpT37nKkpailA+v2YyXep+O9F5F6D31VBRfMQ1p3TsDABLSU3H2O49h6DXnY9ULH0DweOFzuLDr+5X0/BQnDLp4ikZQRAiBc/9hfH/KZTpGRaFEHpXrVWmZzWbAZgNq4jObl1QecqKcB7Ir0VP+MoVCiVJo+jMKJXrxADhUV0npkq9jKPrR48yTMGDGWZq2L6+8X6doKBT90AhPuPgSFTG9Byrl/b9F7yDkmrcWalK3dRk7Aqc8foeOEVH0JDErIA5Qp9OidDzuECnQgomDAFlUVNeBzzAMeNVgjT1ECrT66e70xpYfcIwhh/Z33IHVg1TxPmARIv1ZVShRkSkx5K5sto5PlczwBjCmBDAJyWCsaWBSssGkF4DJ6gImtweYgr5gOg8E03UomB4jwaSp7mV8Po11OoXSAEmC8+XnlSqTlg4EcYGj6IN7/vuouflqSPZapa3PY7fTz6gJ1M6rdNA+AlA7FUXT59GI4IczGpFSVIj84wYirVunBoIir8OFI+u34si6LXAcLQ8qKKJEF86yCnjtgWvHzicMw+DLp2nWObZtD3594g282GMC1r+/WCNEKhgxCOd8+Aymf/ICLvzmTYx7+JYOi52iL8Nv+JdSdh09ho+zjsenncehdkeJfkFRKBFI9ZZdSplhGPDduusYjX4wNhtMZ5wVbNFXAPoBeBhUUEShRD30jp5CiW5K6grxKCqy5mVh+qKXNG01B0vhcwYfsKNQYhm1UxETb6KirMD5r3Td1kbWjHw+Of9WVO4JuM6NmnUFek85RceIKHphVTkV+XRwz6IEcIZIQxjKqQiSpOmMN1jMStnuCv5ZqkVkkYA5NSBCkco60KlIk/4svgeymITkoO21wa5zGUZOH+aHeJwgjmoQVy2I245kA0CcNXLdZQfxOEA8LnkdewWIo8q/3C5v63WB+DwgPi+I4AMRBRBJBJEkECJ/v+se7YF05HC77JcSW3hX/qKUGYYB0iJLnBnv+H5eitqrL1bqfIIF3W69RMeIIh9WlWpVCpbmktKhMCoRXHv93rUHGoclP5b0FGQN6o284wYguTAHnCF4f4G31gFPtSwGZBsRJ0nUSTdq6HPOBBitWuH50KvPD7n+4kvuxlsjzkPV3kNBl3c+cXhY46NEJqndOiG3OJAR4Pcr7oWHpmOnUIJiLSpUyoQQCHt26xiNPpgnn42M738Cl5Kibi4HMAHARAC7gm5IoVCijvgadaRQYo8SAKOAOBQVsSyuWvUJeJNR02zLz0ZKUQGq9sRnKjhK/KJxKjIYQq8YiyRaleLRTTt0DCQ8vHXcNNy6/xdl5ujZ7z2B0uKpqNzdgW4hFN1JzA4Mjnoq49M6OVJwH60I2h7KqQgAiE8A/NcofIIJ8JsdOdzR4VRkTLQoZVLetpSSLYGhTkUyDAOEEBXVOIII03ij8t4RQoBDOwAiXxcYDTwSdv0RdF9kxf+AoyVtCpWwPGA0A0aL6tkCGMyA0SQ/8yZV2QgYTP5nI8AZ5PiLz1Beg/fX5W2KiRInxPM5IkoQNqyHd+UyGMeMBQB0unwads1+V9+gIhi1UxEVbegPq0pHp0k1HuGoxVBJBTnIHtgLyYW5OPjDDyjfE7iGIITAU+MAyzEB0YnqMqzRFGfRo7GKa9J7dcWUuU80aC/f2vjY7qHVGzCnyziMvPVSjLj1YqR0DvQ3R5PAjtJ6xtxztVIW3R4cWLJMv2AolAgnsTDg8gxJAqqq9Aumo+E4JF57Pay3NnDZXwxgOgBfxwdFoVDaEyoqolCim5K6QnKciYrOW/A8bPnZQZf1mnwy/pwzt4MjolD0RTOblYsjUZHVBobllGrFzn06BhMenOWVWDDlBlz4zZtgGAbm5CSc98kLeGfUDAhu6hQbLySqnIrc5cFFLZSOwRUi/ZmR52EyGODxNewnET1ecH5RkdqpqNYZPHWVJdUG1mCAFGRfesCp3BI6UlSkSY1D4nhA1WQFVL9tamocQYRpKpciEKJ572yJocVvqA3+3W4RkgC47fKjLXQfBiRnybs8HHx2PIWihu8/UFNP/eQrVF8whX5/IgzvN0sUUVFS326w9ukG+xY6WTkYLB8475MoErHEKqxqoo7oiZ6UnJzRgLQeXZA9qDcS0lMaLCeSBGdFFSp27oPk9SFrQK8QewotKoqqdHBxzGmz79G4FPmcLpRt3oUvr/5Ps7b/4/n38Mfz72HyW49iyBVyyjRCBY8xT9dTR6P4yvOU+r7PftAxGgol8uETAhOyUO8caTprErjCTnDO/wCoibHJgkYjkp97EeYJp6lbBQD3AXgaVIJMocQkNP0ZhRLdlNQVUjrn6RhGx1J81fnoc+4Epe5duRzedWuUer/pp+sRFoWiK6JPCFT4ONIMF/VUikSSUHPgiI7BhI9d363AH88HxJG5Q/rijBfu1zEiSkdjVTkVOQ+X6RgJJZSoCACs5uCCDcHlVsq8SlQUyqkIiJwUaNa8LG3Kj45Mf6YmnmdCJzYcBKwjaPoz3hQo10sbl6Tu5FQjiYCrtjXRtQ/mgOugdDQ2fssp7QuXX6ips+kZSP5osU7RUELh/ekHEI8simcYBuP/+RID6DVtcKhTUUShFlgLESwq4s0mdBk3EuMevhWX//oRhl//LxSNH9lAUCQKImoOlmLfb2tRvnkXJG9TQvZGrsMaczGiRAx5w/or5Z3frsBjiYPx5vBzIXlb9n1mVILHaHLtorQchuM0/U6Cy4NfL79Px4golMinVuUqzxiNSP9pOaz33IvMv9Yj5fkXkXTHLGT9/hfYbt11jDK8MEk2pLz8en1B0W4AQwE8BSooolBiFioqolCim711hXhJf9Zl/EhMfO1BxYpZPFqK6lm3wTU3YKNeOKoYqd066RUihaILkqASFRmMoVeMMZgEm1IW3J6Ymjn3/e2P48jaLUq9+KrpGHTJVB0jonQkaqcix/7DOkZC8dU6ILiDd74nhUiB5rMH0kvw5oDgw+l2QQoxuztSUqAVjR2hlInLCVLegaIiVp3+LHbO5y1G9dumxuP1wasWEdeh/t0XtcttiSFERY7q1kbXPhgC/yfiEXrOozSN56vPIWzfpmlj0zNgmjFTp4gowSD2WrjnBe7VGZ5D15tmYszKj3SMKjJhVOm2iETHYvSGMwREXpHkVMTyPApGDsYJ912Hi3+ci7srV+OSn+bixPuvQ+GoYo0wHJDdafb/tga7vl2Oyl37gqSOVH/XqFgolrCXlivltpxT1KnwqEtVbHPCv69BRu+uAORUd79eejckt7uJrSiU+KZq43aU/bleqfOFnZB4xdVgkwPpzBmjERlffI2Ut+fCcv4FeoQZNvjefZC2cBFMY8epm78CMBzAP/pERaFQOgoqKqJQopuSuoKtIAcMFzxNQqzQacwwzPzubaWThHi9qLnlepCKY/B8/aUyAxIABl40Wa8wKRRd0KQ/4+Mn/RmTGHA2iOQZpK3l7TEXwFMbSJd01qsPNmJRT4kl1E5FNXsO6hgJBQBcqk55NVZLcMGGryaQCoo3GQPXLgjtVhQpoqK84QOUsnSwo1NKqgazSBwPWiQEdyoK6lIEAJxKVCRofwtDORURR1WrQmsXeCPABLompFLqVERpGmKvRdX0yai6dAaIN3AfmHjvg0h8+CnwQ4bqGB1FjXPO03A896Tmc0ofXYy+T9+tY1SRBx24jyw0TkV6pqBmGOQM7oPjb78MFyx5HXdVrMIVvy/A+EduRdH4kRrxeh2EELirarDz2xX454PPcXTDds33qzmQRhwjW7ovSsdTOKoYWf16KHWhLcIQ+nnHBcmd8nDif65X6jXb9mDvx9/oGBGFEj2smHE7Kjdsa3QdxmiE6cTLQkFsAAAgAElEQVSTYHvkcaT/tLyDIgsv5mnTkbZ4CXit69JiAFMBVOgTFYVC6UioqIhCiW6UkR6W52EryNEzlnYle2BvXPLzXLAqS/Ca++6Cb83fSt37529KmYqKKPGGxqkontKfdQl0lNUeOqpjIO2D4HThg1MvUwYWDBYzpn/6Akw2axNbUqIZhmWRkBlIhVWzo0S/YCgAQqdAC+lUVOvQDMbwlsCATyhRkVpIpidZ/QPnVXJgbyNrtgPq2fXx7FRkTQ3abHeGGBDiVaIin3bg05YY/DuKSBIV5XbXDFBSURGl2Qg+CH+tQu0dNylNDMPAPGUakt9fiNRlq8Dmx4ejb0RDCNzvvI6qs0+DsHO70lx03Qwdg4o81E5FcZ0CNEJgVU5FHT15JaNPNwy/4UJM//RF3FX+B65ZuxgTnr0HPc8aC1NSYoP1CSFwHD2GbV/+jO1LlmHNWwuxacHXqN7bjIkJrTEqohqTiMaQmIBzP3o2MKmBEPzy8Cut3p9GREbPTTFLv/PPBGeQxZSSIOKHUy/TOSIKJXqwlxzAksFTsPq2x1Cxbgtqtu/B3kXf46dJ12LTM283WJ8v7ITU+R/rEGkrYVlYZl4C28OP1Tc1eAjAuQCayqlKoVBihDgadaRQYhI3gMMAcgEgtaigeZ0GUUb2wN648s+PNYKi2ocfgOeLxZr1HHNmw3jCWDAMg7TunVFw/BAc+H1tR4dLoehC3DoVFRQp5aqS2Dv/AcDBP9fjp/+bg/GP3AqGYZDeowsmv/0oFp53i96hUdoJS3oKWNWNeuWWXTpGQwEA99Hgk65CORUBcpoBhpM74Q0WM3wOWUxU63QgJy2jwfqR4lSkTqkrdbSoSD1KFc8uDUmZQZur7I6g7Zr0Zz6t8MhqMQffxhlB6c/yeipFqeIY4I0950FK++L9eSmcr8yB5arrwRgC18FsegZsb89H1ekn6RgdpQ7pwD7Y/307UhYuAQDwiQlIHTEIlaqUEXENdSqKKDrSqSilqABF40cqD2tO8OuAOmQnolocXrMJmxZ8g38++Fxxojn1qbtgsjUUHjXHXYhqhWKDMXdfheROeQDk78r3dz6J0nVbmtiqeTTmYEWJXmyFuRh15+VKveyPdXAeoCJ/CqUlEEnClufnYsvzczXtB5b8jD0ffolO005Dp6mnIqWv7PJjHH4cbM88j5o7b9Uj3GZjGDwESY88DkOv3urmMgAzAXynT1QUCkUvqKiIQol+9sIvKkrunKdzKOGn99RTMW3B85p89rWPPQzXvLkN1hU2bgCpqQaTLKeMGDTzbCoqosQNGlERFz8/70xSIEWMozS4k0gssPKx19D99BPQ+YRhAIC+007HrLI/IPp8IBIBEUUQSQKRCCRR1LRJouRfJoH4y6JPgCSIkHy+huWgywSIPp+27BOU9ZW6V95G9PoguNxwV9XCVVEFV2UNvLUOraNWOGGY5tnwN9e6nZBmDeYwHAfOaABvMoIzGQNlo0Fbb2yZ0VDvYURCVprmOGf98K4cEwEAIs8QJapOXUJUy1sHwwBgWfl9ZBB4T/0P+YlVlgEMGJZR3lO5ifU/y8vBqAYw/Puoa9d8ZvU/F9ULCbxGpaVePdQLUhWUw6iO00Ibf/mz5uX/Af//geT1IcvlxipHOYgoQnR74CqrgOSVJ2kRQVDSUvEJFgCVAEI7FSVkBHen6WjULlkdnv5MMxO6nlORMQFIsAHVpTE/S5pJDP5dqFSl1VPgeDCcSkzsqtUsDikqiiSnoszOSpG6FFFai/OVOfB88yUs19wI4+gTwabK5zIuvxCmKdPgWfyJzhFSAEDcW6Jt4GM7hXtLUM/8jvGfuahA3QclusMrdk3Kz0bR+JHoMm4EisaPRErnxh3VCCHw2p0o/Wcrtn62FGvf/gTuqpqwxgRAK2xrbDWWJj6IVBiOQ/HV05X6wVUb8Mfsd9u0T9EbMKDgjMZG1qREI13GjsA5Hz6jmeCy/dWPdIyIQok9KtZtQcW6Ldj09Ns449ePkOJPT2meNBn2Oc9C2r9f5wiDwLJIuPIaWG+7A4w2I0IFgNMA0EE3CiUOiZ9RRwoldikBMBLQziyPBSa+/hCKr5quGQR0vDwHrrkNbSPr8Hz/LSznyTbq/c4/A9/e+qjmBphCiVXUYg0mjpyKkJikFNulYzWSqNezGykChJYgeLzw1jrgtTtAJBIQmvgFJgzLqspyneFY+ZllwdaVOU5ZznLtMxgluD3w2p3w2h2QRCmoKKi9jl2f1D7dOuQ4lNaR0bUTnE4nAMDWrZMihFJfv6R2yUdyoZymNju/AINPP92/Hqn7AwjBwJlnQxJl4RIRRUiiBEnwi/v8z8S/XN2mlOutT0IuE7XrqZaZkwPnVePMa8B27w2IguwcJAqAKD+TurokAaIoPyQ5PkgiIPif1e2iapu6ZaIIIolyGxt4z5iBE4B+44H0AiC9EEyS3NFNNv4E8tG97fuh6okpIaTjYLXD2bDREBANEUI0TkVJCRbwoQbsHRHkVJSucseioiJKGxD37Ib9ntsBlkXKJ1+B79kLAJBw851UVBQh8N1VKTYJQeXv63SMJsKgTkURhdopW2yjg15iVrosIBo3Al3Gj0R6jy5NbuNzulC2eRe2L/kZf7/5MezNTPUd6rvTUhci6kgTnfQ48yRYs2VHVEIIFl14R5v3qe5TZakQNGZgDQac+uSdGHnbpZr2/V/+jD3zv9QnKAolxvFV1+KnSddi0oYvYUhMAMOySHn1TVRMPB38sOGA1wvhH/0dPLkuRUh+7gUY+g+ov2g+gDshZ06hUChxCBUVUSjRT0ldIZZERTN/eBddTxml1Ikkwf7ko3C9F1pQBACOOc/CPO18MAwDS1oKek89FZsWfN3e4VIouqNNfxY/P+9Mkk0pO8uCpyeKFczJVr1DaDO8yQjeZIwKQRRvNoE3m6IiVoq+2Gw2RVQEhE4vUSdCc7pdmpQaagyhXGV0gs0rhPHci3Q5NjP49ODt/ceDWGyAK0aFpNbQafCq7cFERaZAud5AYkpSw/QnCrWR4+7HJGcrZZGKiijhQJLgevd1JD0+GwDApDdMOUnRB374SKUs2p3xneqyHgxLRUWRBMMF3HhEn9jImg0xpyajy0nDFTeirP49m9xG8HhxbNse7PxuBf5+fQEqd4XXLTLU9WlrxEPNcoildDi2ghxMevNhpe4oLQ/P94h+3DFHZt/uuPCbN5U0eYB8Ltg97wv8evFdOkZGocQ+9j0H8M9Dr2Dok3cCAAy9eiPrny1gLBYAgFRVhcpL/gVh82Zd4jONPwW2p2eDtdnUzfsAXAhgpS5BUSiUiCF+Rh0plNilpK6Q3IRlcjRg65SLK35bAFt+YHBBqqxAzV23w7t8WZPbS2VlEPfvA99JTqNw/O2XUVERJS7QiIoMcWRJnRBw1Kg5UKpjIO3P51fehyv/WAhW1cG99N/PwlNtB8tzYDkODMeCNfCKqw/L83K7ajln4MEaeHCGQMqturr8LC9neX+Z48AaOLA8L++f52XHIE51TJ5T3IQURyGOk2NtbmqyGEGdrosQAhA5LV1dCjpJlEI60NSllEvulKu4xdi37cHhz34AgAbpyPyN2lRlbZhVTCQpkEZNkvzx+1OrSaoyIf7lUNqUlHF126vXVa/jX1a3rmb9utdT91QvPZomXVpzXqt/uRKDv03ZrAXvFcOxyJtxJvgECxiDAYyRB8sbwPAsjG4fRJcbXDMFQXZ7kBRWlJaRkhO7oqLElKDNHq8PnmDum2pRkahdnpyYEPwYztoG6+qKNSDelErppEdKeGALOgUq1HEjImCzc2G54jqlbt+5t5U7YpFz1likjhiEkjc/hmvvwTBFqC/q9Gf0O6s/6hRfkti4qMiYlIjOJwxTREQ5g/s0mSJM9PlQuWs/di/9DWveXIjSf7aGJe5wOQyRxhKgxdG9XTRx1mv/VVyKAOC3Z94J/0HouSnq4YwGXPzTXM13RXR78Ovl96LkoyU6RkahxA8731qIIY/cAtYgTzarExQBAJuSgrSPF+Fo8UCgjU6JLYFJssE6624kXHBh/UXzAdwBgM7+oVAoVFREocQAJXWFaHcqKr7yPJz5yoOa3PVCyR5UX3kJxP3Nn13jeO4ZJD/3IgAg/7iByBnSF0fW6qPuplA6CqLu6GTjyJLaHLjxqoqRAYVQHP5rI769+WGc8dJ/FHFFr0njMHfcxZGd5pFlYSvIhjU7A4mZabBkpCIhLQUMx/rFKQSEyGKbOqEKkSSIPiEgvvH5lLLo80ESVG2C5E8XJTQdC5rX0c4ZDLCkJyMhPRWW1GRwRh5epxs+pxs+hxM+pxtehxPeWgd8Thc8tQ547S54a+zNjqMxLv9tAQqPHwwAOLbiL2z997Nt3iel7RhSk2EpyG7Q7i3ZBXtVGZKH9A20rVdZVhuNSmo/APABqP35ZxgMvP9/2S+SYhm4f/8dpLISDG8AYzAAPAcYjGAMPMDzqnYe4Dk53SXPyznulWcO4Hh5cFJd5jjlGZwsBATLNijDYADDshAOHQJxOuVlHCfv278ew7Hyb41S5/yvgQ20sQzAsIF2tfgt2AMIlCUJUnk5xCOHIezaDd/mTbDdfY/82gEgORs4vD28H/C5/wemqNgvdvOnZ6t7Vh4SQMS6fHX+gZW6FHakkYEWAvg8/v35H0TSHqduWXI2kJwV2L9/n9VlZbKYiqi2lyTAqHIjErSdjsnW4KIiYo8wZz9LQCAsHaF9lZS2w3UpQsIV1yp1YdMGHaOh1JFwy53KrGdCCNZf858W72PwW4+i06VTFQFOj3uuwtrL78X+9xeHNVZdUKc/o+P2uqMRFdW7vuctZnQaXayIiPKG9dekSwuGJIioKjmIkmV/Yu07n+LA72vbJe7QLlctFAI1qimioqJII617Z/Q8a6xS/2feF/j92fCIiujnHVsYrYkN3JgX5o6BtypGJ2xQKBGIp6IKJR9/i64XTgq6nDGZkXDp5XC+8VqHxGM6cyKS7n8AXGamutkB4BIAn3ZIEBQKJSqgoiIKJfopqSskF+aA4TituCAKMNqsuOibt1Bw/GDNzapnxS+ouf0mkJqW3dh4vv4S0sOPg7XKqYKGXHYOvqGiIkqMo5k9ycWJqCgzV9PZW7GjlbOdo4jVr8xH4ZihGHDBRABA4ahinPHC/Vhy7QM6R9YIkoSafYdRs4+6TzSXhIyAU4m3tFzHSChqhFpH0HYDz4M1B9xiiCiCuN2BFdzuBuMyvr17lVlpajzffQdhy5ZwhBtzJN14E5gU//9GUugUYa2i+CywxWe1aRftPdxSYweY1NzGV/K5NdVka4j0Z5EmKlK5LUk0/RmljbCZWUh6ag4Ys+weRyQJ9ntu0zkqCtejF4xnTlbq+99fjKrVzRN7ZZ1+Ivo9PQvWXl3BGrTdmAzHYch7T8C+bQ8q/1wfYg/RgTrdVrT16cQi6nR0LM+j84mBdGYFIweBMzbuDiyJEmoOHMbe5X9h3XuLUPLTH+0dcitphYKNikwijqLxgdSSgseLz2bOapfjhMsJi6Ifrooq/PXKfBx300wA8mfKWxOoqIhC6WD+uu0xJORlIWfcCLiOHsPfdzyJrhefjbxTRwMADMOGA+0sKmLz8pF07/0wn3ZG/UVrAFwEgHZOUSgUDVRURKFEP4qFD8vzsOVno3rfIT3jaRFj7r0WYx+4EZwxMLBGBAGOl+fA+epLrZ6i5/nhW1imTgMA9P/XRHx/55OR7eRBobQRIqpmJMaLU1GydnaVq6JKp0A6lkX/ugO5Q/oio3dXAMDQa2bg8JrN+PuNBTpHRgkXdanPAMBTekzHSChqWFPwwSOfIDQQFTWFIZT400evVULRroMYWUXtt+8wUVlZ2fRKPo+maku0BF8vkkRFLK+5bqHpzyhtwTzzciTeNguMMXBOdr39KqT9sS88j2hMJlgfn624C0leL9ZeeX+Tm5k75WL00veQ2L1zo04ZDMMg5+yTo19UpJosEdpthtJRsKprtbPffrTJ9YkkofZwGfb/ugbrP1iMHUuWtWN0jQUS/Hop5L+QenXVOo1dd1FNUWSQ3rMIo+++Cuk9u6DTmKFKe8WOkrAep6lUfpTo44e7n0HxVdPBm01gGAbpQ/vDeYAK+ymUjsRdVoHvx18MzmyC6PEChCBz1BDALyri8gva7+AsC8sFF8J6593KpHw/LgCPAngWgDvothQKJa6hoiIKJfpxASgFkA3IKdCiQVTUd9ppOPOVB5GYmaZpF/aWoOau2yGsW9Om/TtmPw3zlHPBMAwS0lPRc9J4bPn0uzbtk0KJZLRORXHS6VNbrakaEixxIx58c/i5uP3QSpiSZBeKM168H0c37cT+X//WOTJKODAkBlIWeahTUcTAWUxB232CAM6qWtZE3nsDx4EN0TmvcTiiaNAMKJP2G2wlx45C/GoBwPGy8x/Pq1LI+QUwDCMPvKnT1zU2wsaygNEkp4NT0sL508gxgZRxYFgwBZ0D+1Ttu/LgARC3y1/3p5NTuV0RQgB7peqQLKwWc/B47BEkws3uovlsxdJSHYOhRDOGkaNhvVsrVBG2bILrBZpCVFc4DknPvwq+Vx+ladvDrwJNpIvtcv2/MGDOfUFTSnl/+h7Ol59HyqdfK22i3Rm+mHVCIyqibiC605SQghACR+kxHPhzHTbMX4LNn3wnpyXVmVBfnVDCPO3qqhR8jec/a3FclPDSf8ZZmDL3iaCOWYfXhtdYQi2w00xmo0QtgssNd3UtrP6JMabM1Ca2oFAo7YXoDkwMqtq0QynzPXqCHzQEwvrwpUtlbDaYz56KhJmXgC/qWn/xegDnANgdtgNSKJSYg4qKKJTYoAQqUdHe5av1jaYRep19Cs58+T+w5Wdr2okgwPX+u7C/MBtwudp8HOloKaQD+8EVdgIADL7sHCoqosQ0WqeiOPl5P1YKQojSQZrcKRfuOLFs9tqdePfEC3H1X5+C5ThwRiOmfzIHbww7F7UH6YBstMOrHHGoU1HkwIUQaHhFAaw5kGaqKWGQMcgAaXO3jWvUg3thTwujGkSrKIP44Sth3n8zScsEf9ENQRdV/vk7iEObgo8kpYDt0sNfIYAUGKRPsSaGFK9FlFNRXk+lKFVXA67oFwZQ9IHN0aYHlBx2VE+fpFM0lDqM4yfAOGasUq9etwXbHwl9jmWNRoz89k1kjB2hEUEIu3fCPfcteFcsA2O1IumJ55RlhBAcioV7fVW6LSJRUZHeqNOfAfL3zHWsCgdXb8CmBV9jw0dfQWpCSK4LHSBIa8w5jNL+5I8YhKnzntaIfeoghGD1yx+G9XgMr3KUpKkZYwZvrQPIzgAAmDKoqIhCiQR2z/sCA++/DpacTDAMA+tNN6PqysvavF82JxfW2+6EeeJEjaOrnwoAtwOYB4Ce5CkUSqPEiZUBhRLzlNQVUrrk6xhGaIqvOh+3H1qBGYtfbiAo8v75ByrPmQT7k4+GRVBUh/PD95Vy99NPgDU3K2z7plAijbh0KhIEwBfoyM3s10PHYDqe0nVb8OXV/1FmMltzMnH+opfAhUjRRIkeGNX/MHUqihwYQ3AxkCiK4MyB/zvSxLUMHyr1GaioqFHUA1hSbPZ1MSlpQdslSUKNM8j3yqQSuhHte5KalIigSGJkiYqyA6nnpFKadoHSerzLf4ZUW6vUmYREGCdO1TEiCgBwPXpp6kn9emD4Zy/BmJXeYN3caafhjPI/kDlupCJaID4fnHOeQfXU0+FZ9DG4rt2R8r8vwPcdoGx35MufYd+2p31fSAdA059FFurP48+X5uEx6xA8nTkS88+8CuvnfhaZgiKEdrli0DIhUKPaJCoq0pUT7rtWERQRiaDmYCkkQYDP7cHKx17HwTCngtScm6hTUczgqQ1MVjClJesYCYVCqcNos8JXY1fqTEKIe/pmwnXuAtvTs5Hx4y+wnHNufUERAfABgL4A5oIKiigUSjOIEysDCiXmKakrJHeOHFGRNScTJz92O/pOPwPGREuD5cL2bbDPfgren39sl+O75r4D6533gOF5sByHgRdNxm9Pv9Uux6JQ9EbrVBR6wDrWIMeOgsktBAD0OGssNn60ROeIOpZ173yCzicOw+BL5EGz/OMGYuJr/8Xnl/1b58gorSWlqFAz+5c6FUUO6lm6akQCsCoxH3E6gq5XR6OiIl98pHBsFWrXHRLm/i5NajUd3SFSGg6yA4Dd7YYULOWbWlTk0w5upoQQFRF7pb6vsT7pBUpROkpFRZTWQyqOofqyC5DywUIwFgsYhkHiPf8H75LP9A4trhH3lWjqrIFH3pRTkTv5ZFSu3ojSr36GIdmG/PPPgDk/W5sOcf9e2O+6BcLGfwAA/HHHw/bSW2DMgXNfzYbtWDU1uMNb1EFFRZGF6ru465vlEIKJeyORUKKiZuiAEjNSYT5+MADAbDZj0EVTNfnR6op9zju94XHU6xGCvb+swmcX3w3BRQXz4SR7UG/0mjReqf/y8Mv45cEX2/WYnOoeiJ6bYgevSlRkTE7SMRIKhQIACfnZOOOPj5GQF5gU7/6+dU6cXI+eSLz2epjPOEuTMt1PGYD3AbwMIPpV+RQKpUOhoiIKJTYoqSvo7VRkTkvB6FlXoP8FZyG5U15QW2Rh2xY4XnkRnu++ad9BDUmCb83fMB43AoCcAo2KiiixisapKFS6kxhEWvkd2POuBAD0mjQODMvGXUfX55feg9zifsgeIKeQGXzpOTj89yasemmezpFRWkN6L5Vrh9cLX2W1jtFQ1LANO2NkjLxmBq9ktwdfr24/jY3q0JQCodGkPxNCr9caONVtsY6fAZMc3KkoqEsRoJ1pKHg0y5ITE4IfpDayhIqMNfCapfIyHSOhxALS/n1gLIHJLIyNzrzXG+/XX8BhS4bxzEng+w8C4xfWMiyLtBEDkTZiYNDt3J9/AufjD4E4/L+pJhOsjzytCIoIIdjxxBvYcu/sDnkdHYHaqRIRpP2MV6I1xVcop6JQcEbt9S3nv97lDAbwpgYpUgAABnPwdjV9p52ODR9+ia2Ll7YoHkpoWIMBZ7xwv1L3udztLigCqItarMFwHJLyspBb3FdpM6bYdIyIQqEAQPGTszSCIt+WzXC993aL9sH16ImkO2bBdPKpwRYfAPBfyK5EdDYbhUJpFVRURKHEBiV1hZSigkZWCz8sz6P3Oadi4IWTUXD8YCRkpIbsfPH++Qec777Zbs5EwbDPeQZpHy4EAGT26Yb8EYPCbgVMoUQCGqciLn5+3qVF7wF+UZHJZkVy5zxU7Tmgb1A68NbI6bjj0AqY/TPMTnvu3yjdsB17f1mlc2SUlpLZu6tS9hyNoBRF8Q7DgGFDDC6pXYokCRAaF6VwjQk/hTCLZWIIzfWlFOb3iVWLivT7DJi0jKDt1Q5n8A2MAbcOxpoGkpDsH4iWkDz6bCAjwy/gJ/IzIWD6jAHGzJDfQ0mS06FJIiAKIJIgv35RAESf/Cz45LLgA3wewOcGvE5g/Y9A5eG2v2guMJhJIjSVDCV6MJ83Q9sQSa5c8YokwT1/Ltzz54LNzYN5xkyYZ1wUMp2DsHM7nLOfgG/FMk27ecZMcLl5AGTRxD83PISSV+e3d/Qdi+o6Q6IiY/1RXXdIUhSdS0Ke94Jfx5IQ160tFScFw5xKhZ3h5LTZ96DzicOV+h/Pz+2Q44qq+xOWj5++pljCmpuFU5++C4XHD4atMEcRD9ZhsFl1ioxCoQCyeLPw7IALnXvp96i+7uoW7cNyyWVIuuvfYIzG+ot2A3gAwAJQMRGFQmkj9EqQQokNSuoKtoJsMBwH0g6dUAlZ6eg5cRy6nDQcOYN6I7lLPkw2a6MzuKTqariXfA7XgvkQt20Ne0xNIfy1GlJNDVibPOuiz9RTqaiIEpNIqo4eJo7Sn6HqGIgggPF3bmX26RaXoiLB6cI7o2fg2nVfgOU5sDyP8xbOwZvDzkX1vkN6h0dpAandCpWy5zB17YgUmMY60E2qTtlmDMCEFBXpKGaJCjrMqUjHzyE1uKioKpioiGEbdBgGfv85JKdnap2M6rBYgRBjfC3xZCBn3Ajy7AzgaEkLtgqC+r33RYaoyHjmZPDduoO4XJBcTsDlAnE4QFxOEKcDxG4HcTgg2WuB2hoqBtQRrmdvcEVd5c+qvAyJd96rWS5s2aRTZJRgSIcPwfnck3C9+wZMZ06C4aSTweUXgogCxJ3b4fnyM1lMFKQvwzA0MJBu37Yn9gRF0N7DUTcQ/WFVKZ/EKBK9hroUDdVvJ0mB/zfR60PFrn0AAAPPY/ePvwe2V22zdfFSuCpUbqqqa7SzXnkAJn8K1oEXTUZW/x6wHynH1sVLUbGjpGUvhqJQfOV5OO7Gi5R65Z4D+EkHp7ZwiM0oHc/oWVdg4IWTQi6v9f/fUygUfeCtCTBYA4L72meeat6GLAvz2VNhmfEvGIuH1l+6EcCjAD4BQG9YKRRKWKCiIgolNlCu/jmDAUl5WajZ3/qZw7zZjKLxI1A0/njkDe+P1G6dkJCZCs5gaJYFtFRbA++yn+H+5it4ly/TfYDA+8dvME84HQAw+u6rsPadT+Eoq4C7qobOXqXEDBqnojhKfwYAcDsBqywctOZk6hyMfpRt2onFl/0bU99/EgzDIDEzDed/9hLeGfMvCC633uFRmkly50AaU/ehozpGQlGjHlhqgEpURHxNT/wKJSoKNVOc4kd9DRpu8bzKLUe39GcmM5iE4LOEqxyOIOtbGrb5MZvNMIVIWRIuGJYFGTAe+PGdtu1IIyrSv68zac5rMJ08oUXbKANsJOAIVecCRURJ/k6JAoggyAIkwQfiE/wuUZL8ECUQpS4Couh3PhNAHHZIdjtIbQ1ITQ2kmmqQqipIFccgVRwDqTgGUlXZcnETzwNGE2AygTWaAKMRMBjk68iaakg11YA7Mq8f+P4DYbn6BpjGB7X2VxB3bu+giCgtgWlo2cwAACAASURBVFRVwj3/fbjnv9/sbaRjgdSNSb27oue912L7E2/I/zMxgjbFEO2n0BuWU4mKPNEjKmo5gesrd40dzjLZKdXA8ajcuTfoFls++wG1B0uDLjvt2bsVUVHR+JEoGj8SAHDqU7OwdfFSLL3nWRzbtjucLyDmSSkqwOmqtGdehwtvDDu3w47Pqu9daB9qVJLavVODNiJKEJwuHFuzCWtiKJUohRKN+GodIJKkXAty6WmQdjW+jXHceCTdcx/4rt3qLzoI4AYAX4Am1KVQKGGGiooolNjACeAogCwASOmS3yxRkTnFhq6nHI/C0UORM7g3UrsWIjErHZzJ2KL88UQQIGzcAO8fv8H720r41vwFNGNQraPwfP+NIioCgBu3fQtAnv3ntTvhrq6Fp8YOd2UNPDV22I+Uw3WsCs5jlXCUHoO9tBz2I+VwlJbDUVYJKYJeG4VSh9qpKO5ERa6AqCghM1XnYPRlw7zP0WlMMYZdI6f/yC3uh0lvPoLPLrpT58gozSUpNyCMc1OnooiBaURUxKjSnzXn+oc6FbWS9kx/FglORSlpIRdV24M4FdUTDUmHdsruRSyL5MwMkF1rAYaV3zfVM9m2GoAEsJz84Hjtg+XBKHVOaQNvAHgjkNddXg4A3jAITlTvPYkApyLj6BNavI1y3xTk/qkl7k9tRStukgJHZ5gGsTX3Xk+zT0nyi51EOc2j4JOFUl6v/Nl5PCAeD+Bxg7jdIG4XiNPpfzgC7k52O6SaGhB7DaSaGqC6GlJ1tSwSbwqDEYn3/B8s51/YdOxOJ1wvP9es10mJfIRN/wDTAunt+jx6G3o9cCM23zsbu55to7gxQmDowH3EwHDa6z7RG0V9QB3w3WnsN+TI+q3odurooMt6TzkFPSeOxZo3F2LZf1+Co7S8vUJsfxgG+cMHIP+4gcgd1h9dTxmFpNxMCG4PPDV2VO7ej/2/rcWWRT/gwO9r23SoETfNhMEip7wlkoR3xlwAd0VVOF5F81B93tRFLToxqhxQDny9HCtnzoK3I79DFAqlcQiBt7oWJn/aUK5zEXyrVgVfl2WRcMVVsN5xV4PrFQCrAUyEPE5IoVAoYYeKiiiU2KEEflFRalEB9q34S7OwcHQxek4ch/wRA5HeswiJWelgea5F4iEAkBwOiDu2Q9i+FcL2bRA2b4Rv8ybA5QrX6wg7nl9+BiGkwWtlWBYmmxWmFuaOrj18FNX7DqNy935U7NiL8i27cHTTTpRt2kFvsCm6IamdihreVMQ0xO1UBu3MyUm6xhIJfHXtA8gfPgC5xf0AAAMvnIQjazbh99nv6hwZpTmohXHUqShyYAyGkMskgypdSTNcPdhQTkUR4NISt6iFLTqlsmJSgqc+E0QRDk+Q75XJrBSJzws4a+QygORUC8jhPQ238blBvnihyVgaG45kH18KWFPkiqu2yX01iTplq97CfaNR+75WH5YH0nij7GbFGcHw7esA1Ra04qbwCMw1+2RZgOfbTSjVQMAkSSBuN5yvvQj3+28DABLvvr+BoIiIYoMOdftTj8CzYB4QRSmLKI3j+WwhuK49YL7wEkV8wxoN6Pf0XWCNBux4/HWdIwwDbOC/S9LLNY8CAGA57TlU9ESRqEhnPj7nRpz6zN3I6t8TnNEA3mREes8u4M3y7yfL8xh23QUYcNFk/HjPM1j96kdRJ6IrGDkYZ77yAHKH9G2wzJBggSHBAmtOJgpHFWPUnVdg369r8PG5N7VaRNV3+hlKefPCb1G6bkurY28NGhe1KPusKDJGa4JSrtm2mwqKKJRIg2EgujyAvzuQTQ0+YZYrLETSw4/BpJ0IIwH4EMD7AH4GQC8iKRRKu0FFRRRK7LAXwHEAMOquq9D3vDOQ3qMzrHlZMFoTWiweIqIIsWSPLB7asR3izh0Qtm2FuLck6m74UVMD57tvwjLjIjAmE8CyLX4/1CTlZiEpNwsFIwZp2l0VVdi3cg32/7oGB/5Yh8NrNsNrD5KugkJpB4i645mNL1ERXIGZ7S0VCcYqbx0/A3ceXglLmjzL5ZSnZqH0n23YvfQ3nSOjNIVaGOc5FDytAKXjadSpyGgEiHwOJs0QWVOnolaicSoKcz8Zq79TERPCqajaEcK9xRgQv0DQCieSVbORNdQeC97eEtTHdVa3fX+s2qlI30Fbw8jRyj0CkUSQeRcDova9JYBfYCSLjALP/rJKgCSXgy9jOKN8vcaw8kNTZgHGX+d4wGAJ/jBawLCx06XTQMAE+fyaeOssuBfMg+WCmbDMuEhZn3jccM97D87nn4Jh7ClIvOs+wGSG+8P34PkgNpxrKCpEEc6nHob32y9hueoGGE4cB8Z/X9/nkVux791F8ByJbodHhqNORZECy2vPraLeotd2RNsz1vbvndfuxFfXPtCg/dSn78aIm2eCM8pCfVNSIs58+QH0nDQeiy68E64IFDlk9uuBIZedg4LjB6N632H8dN9z6DRmKCa//WiD70hjdBpdjKkfPIV5Ey5veQx9u8OWn63Uf/q/OS3eR1ihp6aoxJgYSJvsrQzD9TuFQgkrnaacgoS8LKXu/XWldgWLBdbrb0LCFVfVn/C2H8DZANpmiUehUCjNJHZ6oCgUitKDltWvO7L6dW/WRsTrgVhSAmH3Toi7dkLYuRPCjm0QS0qACEhBEC4cTz4Gx5OPKXU2Px9cfiHYjEyw6elg0tPBZWSCSU4Bm54BNjkZjNUKJtEKxmyWZ+U2IUSypKWg1+Tx6DV5PADZFrh8624c+msjDv21EQdX/YPDazbT9GmUdkES1KKiOEt/phoAZg300gYAJK8Xb42cjhs2fwWW58FyHKYteA5vDDsXVXsO6B0epREMCYEOP5r+LHIIeW5hWRCeBXzyOVhyNC0mDiUqok5FDTGdfAqSbr4ZjMWidSKxhNmVTpP+TKeJfWmZQZurncFFRYzKUQderZgtRTUbWUNNG0VFDAsm7KIitVORvvcehpGjApWqAw0ERQqiT36gGem6QhCuMTnCGQBDAsCb/A+j/MwZ5RRokiiLHiWxYTnYMlHwuzOZAvsxmFX7NwF8/bpJdnBSlgXbpt5y3gTGYGn6BUIWFqX9sgqsNfB/TzweVIwfCdTIDl2+ZUtRtWxpmN5VSqTC5ubBcNJ4MKlpGucMhmXR76lZWHPxXTpG13Y0biASHbnXE6aeU5Hgjp6+sVBOMiG7s9TtRF1s5DvYikl6P8x6Ej8/8AKmvPs4+k47Tfm+dz/9BFy6fB7mTbgctRHi0mpMSsSEp+/C0GsCKRcLRwH9Z5zVYF13tR3VJQdQsnw1tn3+I4zWRNjys9Bl3Eh0P/0ExSGm26mjkZSfjdqDLZs0MuiSqUrZ63ChYkdJ614UJa5ROxV5q8LgNEqhUMJK5vFDlLJUcQzCpo1K3TC4GMmz54ArLKy/2RIAlwIIw8whCoVCaR505I1CiR1CjB4EEA/sh2/zJojbt/mft0I8dFC/wRMdkQ4ehHTwYMs2SkkB36MnDL37gu/eE1y3brIwKT0NMJqCplfL7NsdmX27Y9DFUwAAPqcLB1dvwME//8HBVf/g0F8bUb23hXFQKEGQ4tmpSNVxysSboKoRKnaU4NML78S0/z0HhmFgSUvBjMWv4O1RM+AL5XxB0R21eIWmP4scmBCzkbkECySPXamTNoiKqFNRQ9LeeCP4e5/THdi6smF7a1H/bgr6iL+ZEKKiKnuI87UpkIaLuLXrJCcGdyoitRWtC64OtaAIABxhcBVQvfe6OxX1HxioHNutXyAtQfQBYjvMOBc8LVq9NfIH2fXJ2FB4ZDCDGT4TTFFA5KUWFAGA+6MPFEERJfZhUlJhuexqmC+8VHYeDoIhNbmDo2oHVP0JNMWQvtR3oYntiWHtldSyIYLThU/OvxWZ/bpj5g/vISlXvvbJ6tcDl//6ERZMvRFHOji1V33yhg3AtAXPIbVrg8FbDZIo4esb/ou/X/9f0OWrX5mPzH7dcf3Gr5S22w8sx67vV+Kr6x5E5e79TcbCGQ0YfNk5Sn3Xdyua+SooFC1qUZHnWOS5glEo8Y7oUYmXedmJiM3Jhe2/D8M0/pT6q+8DMBvAKwBi+QKFQqFEIFRURKHEDr9CVicDADwrfpFTlu3eBWH7Nog7toM47KG3pjRNVRWE1asgrF7VYBGbmQnzeRfAOOZE8D16gEmyBXU2MiRY0OWk49DlpOOUNmd5JY5u2oHK3fvhKq+Cq7Ia7soauCqq4KqskcuV1YoTTSA1AMByHBiOA8tzYDlWLnMcGI71u5PIbQzLBNo5TraKrytzLBi2frluX6x/XXWZVY4bbL9gtOkLGIYJPPvjVrep9wOWCcTiL2uOo94/wyiW9/X3qT4eIQQgpN6ztp1IEkAASRAgen1NPLzNWCf0uoLbA9HjlZ+94bv2J6Kk+kLGmbDGYFSKgsutYyCRx+aPv8Gfo4ox8paLAQDZA3vh7HcfxyfTb9E5MkowrDmZmt8OD3UqigiShw3AwDceQlKvIn9aIgYMywAMC5bnIL75JgD/70ozhNpcqNndQvyJvBvFbA4p5gqLQ44atahIp3HcUOnPKu1Brt95Ixi1u5IrMOOYAQNbYggHmLY6FRnr7ddR2bb9AYDagUrnQVuuUxelTMp26hdIPCF65Yen3qx5S0OBCCEE0pHD8Hz6P7hef6mDAqTojeH4MbDOfrmBsEyN+/BR/D1zVgdG1T4wrEpUFIcTvyIJtl7aW8HdMqFlrNOUi3dTlG3aidl5Y3DJsg+UvrGULgW4Zu1ilG7YBvvhMrAGAzijAQwDlG3ehT+eew9lm9v3t/n4Oy7HyY/fDk6VWkZweyD6BJiSAoJtIklYdOEd2LTg60b3V7ZpJ0SfT7O/bhPG4Iat32Dfir9Rtnkn1r27CIfXbNJsl96rK7qcNBx9pp2GxEz5+pAQgu9ufyIcL5MSg3AmI8wpNhitCeDNJrA8ByJKENweCG4PLGkpyrq+Wod8jyVJcn+r35lNEkQQgU5yoVD0wJyZqpQZixn8gIFIfed9sCkp6tVEAM8AeAQAHeSjUCi6QEVFFErssKGuIFVXo/rKS/SMJe6QysrgfOUFOF95QW5gWRhGnwDTuJNhGFwMrnNnOZVakM6XhIzUBkIjSvzgc7mVG33R41XEY3WiJ6/Dhao9B1Cxcx/Kt+5GxY4S2I+Uw+uQU52YU5KQkJGKXlMCMxeYrFxwD77qr5GAk4/yrGr3egCPC/C4QSrKIO3cDGxdDzgbuT9JSgF7/tVghxwPmBPkWbXKg1WEXRpb9AZlxj8pUt2uqteV668jChC/+xTSe88F2lQpYHxOKiqqz3e3PoqCkYNRMEJ2YOh33uk4fPdV+PXJN3WOjFKfrAE9lbIkCPCUtdFVhBIWev7f9UgZ0jfoMkmSAm4CkhR0nfqETH+mk0NOxOJ2gxASEAlv/Ako3wdytAT45/uwHkoj0NHjc0hM0qZgU1HrdDVsVP3uEUIAITCz0ZaYADaUuNjeRhFQ/eM6w+AUw6jS/eg8kMGkBjpzUb5Lv0DiHYYDMrSpvAkhqL5gCsRNG0JsRIlGGJsNjNkCmC3g8gvAde8JrntPsLl5sojIbAbfo5dmGyKKKP12JUq/WgbOZETtll04GivuHTT9WcTAclEsKgqV/qyFjkQd4ZY1d+xMTP/0RfQ5Z4LSlj2gF7IHaP/vC0cVY8CFkzBvwuXYt/LvsMfB8jwmvvZfDLlimtJGCMHeX1bhwzOuhuB248yX/oMeE8eiet9hfHHFfc1OQ/bxuTdj8luPICEzTbmm5QwGFI0fiaLxIzHs2hn49tbHsPrlD9HttBNw8mO3Ibe4X4P9HN2wnbqcxzGswYCM3l2R1a870nsVIbVbJ6R0zkNSfjasORkwJjaZvEBh/BevNrpc9Hjlh9sD0eWG4HRDdLogOFzw2Z0QHC4IdgdElwei2wPB5Ybo9kJ0uQPr1392uuT9+fcteXxKXe/rfwolEkgfPkApMwYjUj/4CKzWfbgEwJUAfuzYyCgUCkULFRVRKLGD4p3LJieDSUgAcdL0NrohSfCt+AW+Fb8E2hISYZ40GcYTx8HQrz/YjEwwqhlLlPjEYDHDYDE3uk5uiMHsUDCWRHAjxrYhKoBIIuBygdRUghw9BLJ9AxijCeyoU4GM7DbPTmwL3PSrIH3zMVAqd6oxtsDMDfsR6uwSjHfHXIA7Dq9EQoY8YHryY7ejdP027Px2uc6RUdRk9euhlD1HypstUqG0L6acjJDLRDEgBJWONi9dXcj0Z9SpSItN6/pIvnoOqGmnczyrui2WOv5zYJKDuxQBQI0rmKhIlf6n3nkixRpqUIGE36koHKj/H3ze0Ou1M2x+vlZcRkVF+mHLAcNrU1z5fl9JBUUxAmNNQsKs+2A8eQLY5JSmN/BDCMHRb1dgzaX3wHu0jeeyCIXRiIroNaCeNHAq8tJB7/bi43Nvwui7rsRJD97UaL+IwWLGuEduxdyxM9t0vOROecjs1x0pXQpgSkoEIQQ9J41D5xOGKetIgoBvb3scq1+ap7R9feNDwI0Ptfh427/8Cc9ky+k8T3vuXoy4eabmf53leZz50n8w/pFbYU6xBd2Hu7oW8067osXHpkQvSfnZ6HzicHQaXYz8EYOQNaAneJOx6Q3DAGcygjMZAZu1Q45HJEkRMUmKoMmrlKX/Z++849so7z/+fk4nyZbkFccjzt6DkAAZJCRsKJvSAi2U1bIKlELpAFroj9IWulkttAVaCmVTWjYts1BGIKwssvewk3gvrRu/P06WTo7k2I6m/bxfL71099z6Sj6f7p7v5/l8uwROXfNd0/6IoMkfROv0JxQ0dV+mdfrROwNoHf4BXtZSkk+UTBlHeTcxqU1QFAYuAx4ga57KEolEEkOKiiSSgcNOQCPyf61UD0PfIDvDc4rODgJPPEbgiceiTcqo0XgvuZzCr5wVbdN2bEcp9IDbbYmOHI748mE2Eo4es7vS9DRtKwkW/7JKgWEYmLZpDCOyTWTaMCNtBuiRdY2u49iPR3TetLd1HcswwdCtjlPby9T12DF0HUwjUqYssm/diD+WaVojOu2fA6wR8NFyaXYHndh04cknx76+YABt2acIpwtUFVQnwqmCw2nNR0q/4YhMK0rkb6RYibFISRwSuPVkQohjGkZcJ1V/EYoDvD6E1wfDRsLMg1MQXWoQQqDsPwcjIirCE+vsaNlal6WochtD07hv7plcufplHE4nQlE4/bHfcd+cM2hctznb4UkiDJk0Jjod2L4ze4FI4uiyhAfQtm9H27jB+g0ydPyBIKHPP7dcdXrZMZnMRcbUZcLKjnt2LLlj6hq0p9G5yxtzqDGb6tN3nGQkKX0WDIcJJjqvXLakmx6/vMTnJSHtzfsumLKLilLlYGBzKlKGj0zNPvuB84iY46MZaIP23okEJWmgbFTcbOi9/9H2LZlMHRA4HPhuuxvX/IV92szUdZZ/75dsuPOhNAWWI9iFtFJUlFVEN6ciI5Q90WtfyYTDECnu13j31/fz7q/vZ9IpRzHu2EMoLCuJloyvmD4x6updM2tPB5++MPP80zj1r7fu4URlJ9jazoNHnkftJ5/v07ES8Z9rbmXRHQ8y51tfo3L6JCYctzDad9NdUBT2B2jetJ11L73NK9f+OquDTeylGSXpoWz8KMYcMZfRh81h9GGzKR0zol/7SfT/n80Bgb1BKApqYQHqXgZbphojHEbr8EedcbXOAFpHZ8yZqUuYFAiiR5yV4gROgaDl0BRZNyZY6ozO2/eldfoxgvnzWyJJP4XVFUy56jz2/+E3k61SD1wIPJ+5qCQSiaRnpKhIIhk46FjCouEAytAKKSrKA4wtm/E//nBUVGQaBrsPmZ/lqAYfzpkzUUdaiazgA/cQ/Os96TmQqoLHhygqQniLwOtD8frA40V4PAiPFxQHKDERmSivQBk7AaVmBEp5BRQUxonMTDMivAqHMQOd6MuXQLCrBFhX+TBiHX92oZNQwOVCuNzgcqGUVyAqq/foRE2E2d5G+O3XMbZviYq+MGyiM7tQzQrUNt9dXNbV8RG/jSV6i7UXXHIVStUwa9XhY+K/1wjtdVlIBucJzRu38o+vXsNXnv49QggKSov56jN385d5XyXU3pHt8CRA6ejh0WkpKsod7NdEo7kZffOW6Hw4EMBsa+vT/pI6FYWlqMiOc+YBsZnm2vQ6CHljbhlm3bb0HScJyZyKWhOVPgNw2UYqd3P3KfYkcRPa19JnAG67qChFyS1nzJFGFKTBCamXuGbbyhDXr8taHBKgLCYuMxobaPumLOs9UHCffFpCQZFpmpi6gdbaTufGrXSs20KgdjdGOEzLxyuoff5NjGTXwwGEkOXPcga7U1FGRDoSwHL1WfP8G3FtY4+eHxUVuXxejvr5d1h8z6O07ei7+Hf/c0/tUVDUvHkHf5xxCqHWHkrB7yMtm7fz2rW/AaDqgKlc8PqDFA4piS4PtrbzwmU3sfyxF9IWQ19RbP0thixVlRJ81RWMPXo+Y4+ex7ij51Myqmav25imiRkMEdrdSHDLDgIbttK5diP+1Rvxb9hKcPN2tMbmPTd0uVCLfTiKvShOFcXtRnG7QBEYIS06MEZxu3B4PSieAhxFPhxFHhw+r7VtkQ+1xIejuCgy70G4XJF9OVHcLoTTGpApnCqKMzIIU40MxIz8vuWSwElxOnGVxqoHuJI4haUS0zAs8VGgS5QUjIqT/Nt38tEPfk1bL0srSvKTmuMOZdI3v0rJ1PH4xo3A4UroQLYE+DPwCJCCeuMSiUSSOqSoSCIZWMSyCilwKpFkhrj60Tn0gDWosCcqHWn8adQ0aG3GbG2Oepb2KyWnKJa4SBHQnuIOL4eKqKq2REw1I1GGj8QxehzKpGkIpwvtw3cIv/FvtA/fy3iZEtdxp0RFRaLa5mZgcznwN6QgaTqAWfWvV3n/dw9wyPcvBKxyW6c99CuePP3bqXOdkPSbopqK6LQUFeUOdqei7qOE9X6MGk4mKpJORfE4J8XKAdK4I80Hi42MNWszLypK5lTU0pG4lLFw2UpDheMT7cXeJOXPUiEqsn1PqRJ5CcWWuG3vm0AvlTgmTI7NyNJnWUWUjY5OGztrsxiJJNW4zzw7Oh1uaed/C75Kx8btGIGgLPkKcX040qkou/QkPBl45PYzYMPaTVEnEYBDb7iced/9Bh/e9Xe2f7iUXcvX0rh+i+V0vRccLmfcfMvWOhTVQbjDz9KHn+Wtm/+Qls+QjJ2freS3VYdwzC+/z7BZ01j/6nu8c+ufMhpDb4gbYKHLa1N/cBf7GHnIQYw9ah7jvrCA6plT9rqNEdYIbtlB66JPaXz5LRqeewOjM/GzQY+EQmj1jWj1aXR97QOKzxMRJnlx+Lw4fB4cxT5L0OQttNq8hTgKC1A8HpRCtzVd4EYUuFEKXJFXgSVqKnBZy5xOFJdqiZu6BE2OiKCpa9BmlvvchaLg9HlxJnKWnT2dkmnjeeGgL6PJQX8DDs+Iamb/7nrGfOWEnlZbDHwXeJdc/3GWSCSDFikqkkgGFi1dE0r50GzGIekLso5z9tFsHVBqHvw0GgZ0pukhU9cwd2xD37ENnUXpOUY/MbZtgTmHACBGjbMai8viOgb8jS2JNpXYePUHv2LE/JmMWjALgKlfOpbDbrict3+eJocuSa8pLI+VYArU7s5iJBI7ce5t3cR3Rj/EeEqyzkw58jcOR03MuYuWNIrsCori3SGy4lRUlrA9uVORTQQV6C4qSuz2Y6ZCVKTaknGpcCqaGF9a1QwG932f/USpqo7FIUVF2WVITFSkrZeuUQMFUVyCc+ZB0fkl3/wxbSvk39dOXIkhKfbPKnanorwjybnT12R6T2dgJhPzrVtqWf3sa0z+4jHR4zoLC1hw3SXRdbRgiPqV69n9+TrqV22kcd1m2rbvpHVbHS1b6zAS9Ll9cv9TPH/JjRn7HMkwNI1Xvv/LbIfRI4ptgIV0Kto7Tk8hlftPombWfgw7aD9q5uxP5fSJcc8biTCCIfxrN9H85iLqHvoXHZ+uyFDEmcVo7yTU3g9xVApQPB7U8hJcleU4y8tQh5ZCxBlQLfbhKCmKCZ6KvDi8Xku0VOhGuCPOTC4nisuFcDkRLieKy2kJmVyq5eqlKDExE327XhZPHMP8P9/M/875flo+vyQ7TLjoDGb96vu4yxM+828DHgIeAOSNsUQiyXnyIHMqkUj6wFrgAAB16jSCLz6X5XAkvUI+lGcduzuEyAdR0SBF3xh7vhJDI8m/IRVx62SrcyLfePCI87lm+9v4KssBOPJnV1O3ZNUedvOSzFJQ4otOB/ph6S9JD/GionghhdYPJwE1yeh3U94PxKEMjQnkzXSKikbtHzuOFoaGLLiEFZUkbG7zJxAVqa74czIQcyxUhIKvsGDPbSAlTkV2V6GUJLxHxI/SDr395r7vsz+4XIhCmxhLioqyh6JC5aTorPbRB1kMRpJKHBNif1fTNNn+xEtZjCZHsSUeZcmt7NKbcuADhjw41Z740pWUjR/Fcbf/iIknHh4ncgFQ3S6qD5hK9QFT99jW0HVaNu+g7rOV0TJqMNjcqPYNxRnrIzMHiVORWuDG6fXg8hbi9Bbi8noi74U4vR6cngKcnkLcRV4Kh5TgrR5KychhlI0fGVfSvCdMTcO/YStNr/yP2vufpHP5mjR/KonR2Umos5PQ1sw5YSoFBajlpTgrylBLilDLSnB4PRGnJg8ObyFDTzsO7/7WfdLYr51C7RuLWPeXf2QsRkl6cJUWs/CR3zLixMO7L3oX+AOwEfgEkKPNJRJJ3iAzpxLJwOI94EwA1/wFSLPM/MCeRMy2FeugRc9Q+TPJPmFssiX5vEXWe0O88MJd7COczNlBEsXQNO6bczpXrX01agP/5Yd/w31zz6Rh9YYsRzd4UQtjJY2C0qkoZ4gvf9bNqagfoiLpVNQ7lBKb0CadoqLhvMTgTAAAIABJREFUNmHLrtrMl+BRHIjCBBb4QHsgsGej0xWdNE0TtFgpUl9hAUqyUdBtKSh5YL9HSoVTkac4fj6Qnd9v57wF0Xtw09ChYWNW4pAAFRMQqvVbaJomwZdfyHJAkpTRvcSnosiSZ92wOxUNlsR9rhLnVJQHopuU0dvuqCx0WzWt38Ljp15G8ahhnHTPzQw7aCqF5aU4nM4e+9EUh4OycSMpGzcyrl3ksxtVholzKupFmblcpXjkMKoPmErFtPEMGT+K4lHD8FUNpaCsGJfXg+JUrfJUnoK0ic6Ctbtoff8T6u5/iqZX/peWY0hyCyMQILS9jtD2uqTrbL7ljxxStwi11Ho2mnvXjdQvWkLzirWZClOSYlSvh6P/fT8VB8+0N3cC1wD3A/JGTyKR5CUycyqRDCz+2zWhTppsJR3CoR5Wl+QEWjdBuscD/amTLek3Zr6VPxuk6BtiD9TC4YDho2H7ZkzTjHYkeoaW0V4nxRi9oXVLLU+cfiVnP/cnhBC4i32c9ew93D/3DIKt7XvfgSTlKLbrT1CexzmDfbS62U1I0R9RUTKnIikqikd4PLGZ5jQ6d1XESi2ZuzM3ajVKcWnSRR3+BKIiV0xU1N0tKKlLEUB7c18j2xOHrfyZkYKkUrd7YOecgwm+8Oy+77ePOOcvjM00bwVdPj9ljWHTo5NmR0f6yv1KMo62ZjWmYSAUBSEEw886ie2PPp/tsHILYSvFKQVXWSVeUJBfqqK+ulwlXTtH3bJat9Ty2MmXRuddxT4mHH8oYw6bQ+WMyZSOGUHhkBLUAlf0epOIre9+kqmQJVmiZPRwJhx/KGOPns/oQ2fhq67Y+0YpwjRNQm0duItjTsR1f3uaNRf/MGMxSPIITWPJMedx0If/QigKqqeQw564nZfmnokmB03mHaXTJ3Hks/dQFC9mfQG4HKvcmUQikeQtMnMqkQwsVgAhwCVcLhzjxqGvXpXtmCR7wQzHJxEVjwdDiooyiz2RK0VFOYu5qw6jsQFliFWySznkWIyn7rfcEoTV8Tv2mEMwdJ32nQ0EGlOQQB3grH3hv7zzy3s59IffBGDo5LF8+ZHf8tipl+dsR/JAxVddEdfpHdzZkMVoJHZ6cirSU+hUJMufxVAqKuJLj9RvTtuxRHFldNrcnfnSZ6JkSMJ20zRpSyQqsjkVdRf2+DxJREXBjtSIgOzHTsVI9bcegWMujM1n6WfHuV+sBJ4sfZZdhE1UpG+Uf4sBhb8T7bNPcB40G4Bx3z5Pioq6EedUJEVFWcXuVDS4Honyzzk71NrO50++zOdPvrzHMtVTyIh5M5l4wuFUTJuA02M54a1/5V0+/vPjmQ41bzFtzz+57q5eOnYE+3/tFKadeTzVM6fsfYNeYJommCamYWLqOoamo2saRiiMHggRau/A39BM6+Yd1H++ju3vfMy2dz4Gw+B74c+j15PGf7+dkngkA5OOz1ay6ea7GHvzdwAo3W8ic3//Y9676EdZjkzSF0Z96VgO+eutuErjHHn/BFxBvqmUJRKJJAEycyqRDCzCQC0wGkAZUk7+GtMOIronEd2F2YljMGOz4xey/FlOo69egTL/MADEzIPhqfuxd34ef/sPAWv0V9coTdMwMHUDQ9MIdwYINLfSuq2Ore9/xif3PUXzxq2Z/hg5xRs/uo2RhxzImMPnAjDp5CM58qdX8+aP78hyZIOLodPGR6dNXSe4OwWliiSpwS5u6Zbk0/uRaUpankqKiqK4Dj44Om2GAtCaRqciX0zUYzZkXlREWXnC5o5AECNRiTFXrExid6efpE5Fna39jS4ep+3Y3UsZ9YdAG2bIj3BZ975mKDsOQcrIUdFps16WAM0q1ftFJ7UP389iIJJ0EPrPi1FRUdnc/VFLi9GaU3R9GgAIxe5UJPNO2UTksVNRJsLNdWFJF1qnn01vLGLTG4uyHUpeY3e/EsmeY7KIoqpM/fKxzLrsbMYeeXCP6xqahr++mbZtdbRs3EbL5h101O7C39CM5g9gagaB5hb89c346xvprG/G6Of9adGoYXECxdb3pTuWpGe23nIP5SceQfHBBwAw4cLTqX1jERsfeS7LkUn2hqPAzazfXseUb53TfdFdwPfIu5sJiUQiSYzMnEokA48GukRFpWVZDkXSG8xuCSFR6E6ypiRdmNKpKG/Ql3+GMyIqUibuZwknk3RqdnV2CocDHA4cLidOTyGeoWUMmTCaMUcczMLrL8Xf2MLqZ17jlWt/M2jdjR486gK+u+0tioZZjh2H3Xg5dZ+tZOXT/8lyZIOH8oljotOhhuY9xCuS7BHnVGTuu1ORI0lnvHQqiqGOGRObad2dXpsAT0l00qzPHaeilo7ErpUiTlQUjFtWbC8ZZ6cjDaIiI0Xnq63cT+FF38R9ymlgGJj+Tsz2dsyOdvQN6zBbWiznDl0DTcfUNcstSddRhtXgGD4So60VQiHMUNB6DwYhFMTsmg6HUYaUI7xe694hcp+glNn+Bg1SVJQ1fBWIophzWODFzJfCk6SX4PP/xHP1DxAeD0JRGHnuqWz8w8PZDit3kE5FOYPSw72fRDLYiLse5ZCgTFFVDrzwdA694TJKRtUkXEcPhqj/fB0bXnyLFQ89Q9PaTRmLr2yCrcSyYRDanoXBC5K8Y+nR5zOv9n3UIi8A8/70E+o/XEpbBs9dSd8omjCaw5+8gyEHTrM3twOXANIWTyKRDChk5lQiGXjUd00oZaXZjEPSW7olEUVBklHmkvQRtgm7pKgop9E+WgSXXGXNFJVCwb45ewkh8JSXcuBFZ3DAN77MtkVLeOOG29j03w9TEG0eYRjcO/t0rt7wOqrbKm9z2oO/pGHNJnYtW53l4AYHvmEV0elQfVMWI5F0R/TkVJRCURGa9JfswjEq5hxDe5pduwqLYtMNaXRESoIoTSIqSlYK1x0T9phBf9yiEl9iUZGZqu9QtZc/Cydfry/YREXO6TNSs899oWFjtiMYvNhKn5mahrFW3n/kNAUFCK8PUehBeL3WtNeL8Hjj531FiNJSlJIyRGkpwiZ+LJ4+MYsfIPewu79IUVF2sd/7SU2RZLATV/5MyQ1R0aSTj+TY317H0Mlj91imBUNse3sxH/7mL2x+9d0sRGfhtJUlNoLZceOU5B9GIMCyEy7kgLcfRygCp8/LiYue4JUjz6dpqbw3zjXGf/3LzP3Dj3F6457DPwO+AqzNTlQSiUSSPmTmVCIZeDR0TQjpVJQfdHcmcDqzE8cgxrQncmX5s5xGX/4ZZiCAKChACIFy9Glxy++eegItW+tw+TzWy1uIy+e1pou8+KqHUlRTSfnksYxacBC+6piQQygKIw85kPPfeIidn63ikZMvpX1H5hPM2aJ9xy4ePelSznvlAYQicHk9nPXM3dw7+3QCTS3ZDm/A4ymPCYG1to4sRiLpTpxTURpFRd2dCwczjhEjYzPpLH1W4EMoscShsX5l+o6VjCRORa2d/j0bhRIv7AnEXytKvEmcitpTJFR02o6dqvO1eScMHZGafe0jZrAdWuuyHcagRdhKnxl1tVmMZIAiBKJsCMrQCkRxiXUv7fEgCj1Q6EEUFloCocLCmDDI40EUesHTJRzyIjwRsVBceaj+Eair3/tKgwl7+TOpZMkq+exUlOzcSV6yLPH6PZ6DOeRWI0k/dpFjtsuflY4dwQm//zGTTjoirt00TVo2beeDW//E0vufyk5w3RH5ex2RZJe2RZ+y9df3Mur6bwLgHlLKKUueY+fbi3n9pG+itcv+oqwjBAfd+l2mX39p9yV3AdcCwT03kkgkkvxHZk4lkoFHVFQky5/lCaaJqevRjlnFLZ2KMo7NqUhIp6LcJhxCX/ox6twFACiHnRDXQaoFQ4Q7Ogl3dNKxN3dpIRg5/0BmnHsqM847FZfPG2kWVB84lWs2/5e3bv4Db//8nnR9mpxj4+vv88aP7+Con38HIQRl40ZyxuO38ciJl2Lq0kUlnagFMfcRIyD7H3KJ+NHq0qkoEziqqmIzLWksFRDqxDTNWLnMmlGYddvSd7zuKAqiJPH9emsipyKnK5rMMU0zTlTkUlUK3K49twFoTZFTkb38WYpEReadF2AeezEUl4PisBIwDhXh9oCrEEoqI25SAgSRd2FLaIpIU+R78bdbifmufQkRe4+L3UruCPtnatxEsuSqJAPYnIrCyz7LYiB5RpdYqKIy8qpCqaiIvouKKpTKSpTyCkQODV4xdYMNdz6U7TByCnuy3tSlU1E2iftbDKLfBSkVkiQkB/4FhKIw75qvc+RPr8LpiblVm6ZJ05qNvHjetdQtXpbFCBNg5mbZOEl+sOnG31F27AKKZsXuj6sOm8P4C05j9d2PZDEyiaPAzYKHfs2YM4+3NzcAlwL/zE5UEolEkhlk5lQiGXjYREWy/FneEA5DJGkpPN4sBzP4iHOHkKKinEf7aFFUVCTGTY4T5VXPnELzxl4mhE2Tre99wtb3PuH1G27ngAtOY86V5zJkvFV2R1EdHPmzq5l3zdd5/ItXsOWdj9LyeXKNd279E6MWzmLiCYcBMP4LCzn61u/y2nW/yXJkA5u4khdyJGNO0ZNTkZFKpyJdS9g+GLGX8DVb0uhUZBjQ2QJe63jqlf9H+JqvQUuaS651UVSaNMnQlsipyFb6DNOMS1YUJ3MpgtQ5FdldkrQUlXEItMHzt+/R3NerYL+vmt9/AlEVKZ2xWzrUZw2HCypipbDCb7yaxWByB1E2BKWyynpVVFrvQyujoiFRUZF1sVD0nsUwMDXdKl0XCmMEQhiBAEaHH625lZKFs+O2W/LN/yMsnTDjsd0fGFLMn1Xi7v0G+m25/fP1UveQ3PVIIkk9ZeNGctpDv2bUgoPi2v2NLfzn4htY+6/cvGcwtNxxeJLkJ0uOPpdZHz1L4YTR0bbp117MpsdeJNjYnMXIBi/ls6ZzyN9+Qdn0SfbmZcBJwNbsRCWRSCSZQ2ZOJZKBhyx/loeYoRCiIOJQ5JFORRnHXoJOlj/LebSPF8VmvEXQuBvKKwEYechBrHrmtT7vM9DUwqI7HmTxPY+y4LpLOfSGy1Ajjg+FQ0r4+lt/5+Wrb2HxHx5OyWfIdR498RK+s+W/lIwcBsCCay+m9pMVrHjipSxHNnDRbdchRYobc4q4Ei9GfGYppU5FYSkq6kLx+mIzrbvTeizzrYcQJ15lHXf4aNTv/hztpivSeswuRFm5JQ7qlpwzTZOWRE5FLts9ohmfcC72FpIQQwN/276GamErf2bqKRIVZZvSmCuWKUVF2aNqCiJyD26aJqE3XslyQGnG5YqIhapjoqGq6m5tlQiXe+/76iOmaYKuY+o2EVAwhBkKWUIgfxC9sxO9vQO9rQOttQO9pY1wUwtaYzOh3Q2EdzUS3t1IqK4erX7vIswpf/9t3Pzy7/6CzX/JkfI0OYRdyCKdirKLYr/3yzexf9LyZ33cTQpCkUj2lf2+eiKn3Psz3MWxZwNTN/jknkd446qfZzGyvRMnDlWkEE/Sd4z2ThZPOZayE49g+rN/RgiBd1QNx77xIC/NPQMjJMunZwrhcDDz5m8z/fpL4+8R4N/AV4HW7EQmkUgkmUVmLCSSgUfMqahEOhXlDeFYYkYpkKKiTGOGZPmzfEL/fBlmZwfC40UIgREORQdVjjjkwH3bdyjM2z+7m1X/epUT77mJ0Ydao6qFonDCXTcy6eQjeeqMbxNqT5DsHWDcO/t0vrPpTZyFVkLri3+9lfpVG9i5ZFWWIxuYhNpi55QjmThAkhXiknxG+sqfSaciGy6bI06aRUW8+yjGhDkok+YD4Jh3JProCZib16X3uIAYPSFhlq8jEEx8btlL5Grx50uJN4nTZXvqRrEKu1NReICIily2623DxuzFMdgpqYlNB4MQyt/zS/iKUEaNxjFyFEr5UERJmeUsVF0TExCVDUn5cU3TxAxrGP4AWksb4YZmQrW7CG7ZgX/9ZjpXb6RjySpC2+tSfuyeGHb5OVScdUp0vu6FN1l/+98yGkO+IGxJZ+lUlF3i7v3yTFSUb/FK8otMuVQ53C6Ov/1HzL787Lj2lo3beOLor9OyMfcNQYywrZ8xXoQgkfSJppf+S9Mr7zDkuEMBGDJzCpO/dQ4r5f1URnAWeTnyuT9SfcTB3RfdAVwLSHWXRCIZNMjMqUQy8LA5FUlRUb5g2h42KZDJ5Exj2hNjUlSU++ga2pKPcc63ynMJJdZBM2LeTLyV5XTsaki2da/YtXwNfzvsHGac90VOufdnqAVuhBBMOG4h1zUt5uP7nuKV7/8KLVF5mgFC564GHj3xYs5//UGEouD0FHL+a3/jsVMuo3VbndVhbZrWYFjTtM3v2S6EQDgUhKKgqA4cLieq24XD5cThcuGITjsRikAoSuQlrG1t80DCY5qGYe3f4UA4Yu8Op7VfxanicKp7JPC79o+ITXfF6HC5otsKRYnb1DRM9FAYLRgC08TQdfRgCC0Qwt/YTGd9E8G2Dtrr6tn9+bq9jnJuq42VeHKVx/9+lx1yEEMWHIS7eqjVISm6deh2TQuBw1MQ/b4QwnqZJkY4bDkShLVoyUChOhCqiuJUre9Q0/fct6JYn9+pxjpDuz5Ll8OKEAjVgeJyWsLMiAOCcChRoWaosRkjGLbWixzXvq+uv2Xs7xr7G6s+D86SIoyw5aZghMJ7vodClotQ1/aGgaHp0Vhi0xF3BsOwSrUY1rlj6l3zsXaEQAhQbAIX55QpmMOHg9MJpoHD7UaNnH9mKARdScBIDLG/EWCCYpooVVXWMtOIrGfFrY4aZTl1mAamroNugKHHpjXrb4iuWZ8lEmvX9wbsUZ4tL/F44ksEtO/b9bxXPHgN5k/eQjgtEaWYekD6RUVCICbsl3BRc0dH4k3soqJwIG5ZSbLyZ20p/P7iyp8FU7ffbDF8Svz1rnFL9mIZ5IjhB0SnjaYMlR/sD6pqlSQrHxp7DR+JY9RolJGjcIwcjTKkPKWHjIqFOv2WWKi+yRILba2lc91m/Ks30LF0FaEdaSwV2U+8B0xlwh0/jv6fBXc1sOTS/8tyVDmMIp2KcoW4+xAp0tkTWf5sUJFpoVr55HGc8fhtVB8wNS6Gj+98iDevuTWjsewLus2FVpY/k+wry0+6iLnr3qBgzAgADrzlGna/9yn1Hy6Vv1NpRKgqhz91Z3dB0TrgYuCt7EQlkUgk2UNmTiWSgUfMqUiWP8sf7CNYpFNR5gnL8mf5hvbxoqioCK8vKpJQHA7mf+9CXrvuNyk5ztK/P0vDmk185enfUzzcKpGiqCpzLj+b2d88i13L1/Dqtb9h/X/+l5Lj5Rqb/vshb9xwB0fdeg1CCDxDy7jo/SeyHVbe0bGrgW0fLGHnktXsXLKKncvW0LR+C4bNaaR1y47otLumkrL5B1J1ypEMO+M4fBPHZCFqSSLUmpq4eXdzC47GviXA3UcdhZKgY7nwpJP2KTY7UcGREAiHwxIv63rsXdNA0zA1DUdFhZXItAm7IF7oFScks7/HTVuJbzMYtF6BgOWmY0ZEW3HbmqDplqg3rMUcoEwTUVQU/2EmHQJ65D5JC1vlvBAglIgwyxJfoYet5XrkZRqWOM3QrOW+IVYSrGudcBC0kLXMMCDkhy5RUWnqXUT2oHoEwl7mzcb2hiTnlK0UkhmIF7WW+BKLisy2pv7FlwjVGZseCE5FUxdEJ832egi1ZzGYQYy7CCYfG50Nf/pRduJwOCwXoeEjUIYNxzF8BErNCBzDhiMqKiwBUQqfr82IqNQIBNHbOwg3NBGq201g8w4C6zfTsXI9HZ+tJLh5e8qOmVEUhZmv/T3q+KIHQ3xw2rcI1Oae+ClXsCedpVNRdrGXNhlcuVopFpJkl4MuPpPj7vgRLptYPtTRydPHX8K2d7J0f9BP9ihN5XDEBqBIJP1g6QkXMmfFvxGKglpYwImLnsTQNHa+/RHvX3wD7Ru3ZTvEAYVQVQ5/8g5qIg5RER4DLgXkg6NEIhmUyMypRDLwiDkVFRdbSaKBMGp9gGN3KlIK3D2sKUkH0qko/9A//iA24/FhrlmGmDwDgAXXXozDqfLh3Y/QtH7fXQe2f7CEe/Y7iSN/ehWzLzsLR8S1RCiCqhmTOfff92NoGg1rNlH76Up2LV9D/coNaIEgaoEbh9uJWuBGdVvTG19/n/qV6/c5rkzxzi//zMiFs5h00uHZDiVv8VaWM/mUo5h8ylHRNj0UomHtZhrXbsbf1ELp2BHRZYqqsvC9x7MRqqSPqP34zdA0DZe9vFcaEIoS53ggnE5wOvskXM6VtJJy6g8yf9AM3DsrYyYmbNd0nZVbEogIhANhExURjO/HlE5F/WDMzNj07rXZi2OwM/wAy6UNSxDZcUsanGwcDksUVFWNUlmNUlWFUjXMEhFVVaPUjECpqk5ZGWTTjIiF2jrQ2zrQmlsJbt2Bf/1WOtdsoHP5GjqWrMYIBPa+szxlysO3oZYWR+eXfftnNL3/aRYjyn3szmndy61KMou9/Bnm4PlbSAMiSbbwVpZz8r0/Y8oXj45r3/XZSh479Gt5WX7e7lQE1nXFlKIiyT4QWLuJ9T/4JeN/+8PoPYOiqgw7ah4LHvwV/znsnCxHOHBwFvuskmeHz7U3PwWcCwyeGwOJRCLphsycSiQDCwEcF51RFERJCWZTCkcoS9KDXdQiy59lHDMU+/5TlUyQpBd91XLMjnaE14cQAv3jdxHjpiCcVsJz3jVfZ941X8ff2MyOj1ew/YOlLH/sBasMVT8ItrTx76tv4YO7/s7hN13JtDOOw1kYS84rqkrFtAlUTJuw132ZpsnjX7yCNc+/0a9YssFjJ1/KFZ+/RMXU8Snbp2lzLbHKl5mYXc4ipokZWRYtpdY1DxG1g9WJEu38jpT5spdG6yprZUTKXhl2t5TusUSPY2KEdQxdwwhr6GHr3dBjTioAwuHA4VJxuJyAQHFYZcJUtwun14Na4EJRVavUV4IeeofLReV+E6ncL7GwoHt8weY22rbVYWh2V5e4lQDQ/AFrdLtpc5oRAkV1ROJREapifS8RhxgjrFml5hyOuLJyXcc2Qtb3YOq2jlGhIISIrGughzSMUBhd06Il5AxNx9B0FIeCp2IIilPFCGuMPeGw6G7a31+M1tBkfUe2l33e6OhAb2pGqE6E24UocKO43QhXZN7pQjhVS0TTVb5NWKIaESmDR9fnE9Z03DEipeKEENYyIu+R8wEThMuJqWmYwZC1TIt0CLe07fn30rUkWRmrLRwO4XSq0fmeSHTuSDKAru19nX1EDBuZsH1bfQPhRMd321yKTBP8sRJpbqeTAncSoVpKnYpsxxgATkWiamxsRoqKsoYYeVB02qirhdbW3m3odqOUliFKSlHKhyKGWm5CwudDKS5BqaxCVFThqKpGDK2IlfBMAdGSZIFgVDDUuWoD7Z9+Tut7n9CxdFXKjpWPqENKqTjjhOj89idfZvN9T2YxojxkcNnj5BxxTkVGnv0tkpw7Itl9Zz/ONXl/OsiwnSNd5chTyX5fOYET774Jz9CYG6BpGHzwi3v53423p/x4mcIIxzsVCYcDk3CStSWS3rHjzr/hHFLKqB9eFudwWHXobMacdRKbHn8xi9ENDFSvh2P+fT8V8w+0Nz8PnIcUFEkkkkGOzJxKJAOHIcAfga/EtYbTnxSR7Dtxoha3LH+WcewP+7L8WX6g62iffYRzwREAKDPmEP7plThvuhthK89SOKSU8ccuYPyxCzjsxsvZ8s7HvPur+1jzwpv9OmzT+i08c/61vHTFzUw/+yQOvvr8XolC7AghmHHuqXklKgK4b84ZXPzBk9HPa5omT57+bTa8+i4oilXOSVFQFGGbFyiKEhGXaGihMEZIQxvAI/O7UzxqGAdeeAYjDzmQoVPG4a0qx+F09qozPtDUypb/fsDiX91H7QdLMhBtZviesSr6+bdefi2hDZuzHNHeKTvnDLxzDtijPVBXi+5RcXgsQbDZtANaey7tEv7oWfB592g3l70Cm+NdHEwAxWW56KluS9ShuqzfKsUZEUQpMRFT17ziACKdjEbY2tbhtMp7OVRwOBFHXIIosco6mu0NmM/9HIQjIrSKvHftK3oMESfqi753CbRUN7g8CFchuApt2yqx9br2oThAsWKJE2EJAcXVUDzU+oxCIaqgi4jFooKv6LGV+Peuzy5ACJvbAETLZSbD3LUD/b3Xky5PCUIgqkckXFTb2Jx4G7tLUVcJuQiVZSXJj5VSpyJ7+bMBcB33xcrcmfX9Ex1LUsCI2LU1/MniuEViaAWOseNxjB2POnESjolTUGqGo5SUIjxJ3Ln2EVM30P1+tMYWQrW7CGzajn/dZgIbt9K5ZiP+VRvQkv2fSgAYc/PV0cSz1tbBsm//LMsRSSR9w56oHVz6LikWkuyJ3TlNJCjh3F+Kaio58e6bmHLaMXHtnfVNPHnsN9j92cqUHSsbGKHuTkWpEzdLBjebb7qDrb/4E6VHz2e/p+9BqNa5deAt17DpiZcG2w9XSlFcTg599HfdBUWPABcBA8CqVyKRSPYNmTmVSAYGxwF/BWq6Goz2NtpuugGzfc8R9JLcw17+TLhl+bOME7I9F0inorxB+3hRVFQkxk6Gj/5H+OyFOK7/HcqMuVHXIjujFs5i1MJZ7PhoOf867wfUr9rQr2OH2jv45L4n+eS+JykaXsX4Lyxk+NwZVEwbT8moYfiqKyyHFS3icqPpcSPvQm0dPew9Nwl3dPLkl7/NJYv/gbvYcog6/bHbuHPMUbTX7c52eDlL65Za3vrJ7+PaXD4PY48+hNGHz2HIhNEUlBahBYKMP3ZBdJ33fvoH3rvp9913J8kSdvGvHaejmxNVLzrwAsEwJb4EC1xJEuRGCEIhCKXY9n/miRARFbH+A+uVInKpG9M8+YcoB54CgLHkQ8LXXhATTqmqzb0qIlhqb01/R+zQqniBjo1dzS2Jt7HfH3ZzMhoVOsELAAAgAElEQVRTXZl4m85mCKTw98ZhFxXleZ+qb0i8kHx3noqKykYjJh9tCfBMA0wd09Ct6UTvhg6GBqZunUdx07o1begxMaCiWGJDhzMiTnQBJmgh0IPWeRD2R16d1rsWsl5mghIfqhucheAsAHcRFFUjysdFFzsmTKbo3odwVNegDKvpU8nG3mAaBmYojNbeYYmGdu4muKWWzpXraP/kc9o+XILW3EunJElShn45ap7M9ideIrgrheJGiSQDxLux5NJdTerp6dOZppl4IIR0KhpUGLaSXakQFQlFYfZlZ3H0L76Huzj2UGSaJqueeIkXzv7uPh8jF9BD3VyJ0uDyJBm8GIEAjS++yfLTvsn+L9wPQNG4kfjGDKd947YsR5efOEuKOOLp3zPs6Pn25j8BVzDQbwYkEomkl8jMqUSS33iAXwPfsjeGPvyA1uu/h7Fd3kTmDXGioiTlKyRpwwjK8mf5iL7k49iMxweuAmhvRb/xEnSAimEohx2POGA+yvTZCFtpwZrZ07lk8T94/ItXsPGNRfsUR9v2nXz2wNN89sDTPa53+bLnqZw+ydqmNj9FOA1rNvKv86/lrGfuAUB1u7j4w39wx6jDsxxZfhFq72T1s6+x+tnX4tovev9JRsybCUDxqJpEm0qyhNGRWNDjdjpBsfUvmXt3w/YHk5SNcu/pXpQ5BnAfmWIbFWxEkiKmaYkoMlDmLBHJSp9puk59a5IBAS6buEKP3Te6nU4mjhiWeJvdKX4WsN8jaXle/mzoyPhEaWtt9mLpNwJx2m8RRZXdWnMDs0vABKA4EMre77GdU6b2/TimianpGIEAelsHensneoefUO0ugpu307l2Ex0r1tLx6efSYSgDuGoqcVaWR+e3PfpCFqORSAYfZrLyZ1IIJOkncafOPp5Hww+eyYl3/x81s6bHtQeaWvjXad9i29uLk2yZf9jFWCCdiiTpoenfb2OENRSndZ9dfcTBrJOioj7jGzeSo1+8l5Ip4+zNzwJXMqA7SyQSiaRvyMypRJK/zAX+DkzqajBDQdpv/y3+v/0FDFniNZ8wbSNYUj0iV9IL7OXPkjgHSHIPffUKzFAI4XIhhEAsOAbzTVviYnctxtMPwNMPoAPKMafh+Po1iHIr+ebyeTn1L7dw57hjMmIPXGArT9Ne23N5pFxm9bOv879b/8ShP7oMgJKR1Zz13B95/NTLsxxZ/lO/ekNUVFQ6YXSWo8kQeWLNrbe1J2wvdLkAm7iiF5/HH0zi8JJpUVEisc1AxC5k0HPjc4phoxK217e2YSQRpgm7qMjmsDh+eDWqmjhJYW5b3f8gEzGQnIpqJkcnTX9zrwSBOYfLu4egKJcQiiP+OtNPTN1Ab2snuGMnHcvW0P7xcgKbtuHfuA3/+s0YrYmvz5LsMOpHV0TFC6GGJhoGUIJYMnhIJszJC/oaex5/VElmcNhK8OrJBkfsBV91BUf/8nsccMGX4tpNw2TF35/h5a9fv08x5iJGN6ci4Uhd6TiJxE5g41Y8k8YCMPv2H7L5n68Qbtl75QrF6aTqiLlULpxF6fSJqJ5C/HW78ddar8CuBjBNFLcLoSgEdjeCEDgig6H1YIjg7kZaVm0gbLsfdw8pxVVWjG/McIomjMZR4CbU3GptW+Am1NhM4fAqao5dQPGUcSiqg85tdRhhDdXnoXPbTtrWbcZfuxs9FCbY0EzT0tWEI26iHdvqUtqPVDZzCke/fB+eYXHPVQ9jlTzLjQ4EiUQiyRGkqEgiyT+cwA3AjUC0lza8aiWt116DvnpV1gKT7ANh24O5SzoVZRrTnuCVo4fyh1AIfe1K1P0sEYYy53D0N5OPhjZeewbjtWdQzr8Kx1mXIYSgdMwIRsw7gG3vf5r2cAuHxERFLVvr0n68dPLmj++kZs7+0XJdk04+koOvvoAP7nwwy5HlNzs/WwUXWNOl4xI7mUiyg9GeuIRUocsdL0xNVO6nG8mdipKUP0sXYrCIimId+GauiIpqEv9/1zX14KJiK39mhvzR6eohpYnX72iG7Wv6FV9S7OXC8l1UVGUTbrbko0sRcec2QOO6LZimgVCU6EtxdE2LWLvDsWebIiyBtiKwvI5Mq6/eNC0nIMPA0PTo/5CiOhAOB4rDgeg6Rh/dC7qS9vbtWt75iOD2nfjXbaZj6SraPlpGcPP2ffmWJGlCKfbhmzGFgrEjCO9upOXtjzA6O6n46knRdWr/9VrOXHclkr4wuFx9kidmk5U/G1RfjwS1INZHqfVRVKQ4nRx81XkcftOVuIviB1A0b9jKP0+9jIYVeVqCdi/sUf5M9jVK0sS6q3/KjJcfAMBVUsTwEw5j0+Mv4izy4iotprCmkoLKcpzFPtxlxahFXsqmT2T4iYfjKi1OSQyB+iYchW4cBW6Ufpzr3pEx593yg/brcd1wewdNn61i96LPaFu3haalq6n/cGnf7zmFYNy5p3LwH3+C0xvXF3Mz8FMgD0edSCQSSXqRoiKJJL+YjOVONKerwTQMOv9yLx133hYvTJHkFWbIVn7LKUVFGccuKpLlz/IK/fNlUVGRmNjzg2cXxkN34fjSBVBgPTRWTBufdlGRWuDGWRhzmWjZvCOtx0s3pmHw9Nnf49KPn6Z09HCEEBx32/Vsefdjaj9anu3w8pYdn6yITnurh6I4nRjhcA9bDADyZCR4Mqcil6riMNVYOqYXTpH+QOL7NVFQlNnB4oPRqSgXPmdxKaIosRBoV3NL4m2EI/7+0B87H6uSiIrMrStT//8V51QUSO2+M02prWRcR3324tgXRHyH/X1zTicQGcGbFRQFX2U57hIf7mIfriIv7iIfRjiMFgyhB8P4m5rp2N1EZ30TGAbDZk/n0sWx8rEOr4fA5u00vvxf2j5YEncOlx27gJJD5+CsKEcpLEBxO+lctYGdDz9DYP2WbHziAY1aWc7oG76FWlqE1thCcMdOME0qvnoS3umTo2U2ukgkEtvywD8zGnPeI4UauUme3KtKJOnCfr03wr0vHTzxpCP4wu+uZ+jksXHtYX+At677LZ/+/u8pizEX6S4qkuXPJOmi+fX3McJhFKf1rHbYY7cx5/YfUlhdkbEYCoaWZexYTp+XyoWzqFw4K9oWam5lyz9fZf1Dz7Dz7cU9/nY7CguY9M2vMvlb51Ac7xBuABcDD6QrdolEIsl3ZOZUIskPBHAF8BugsKtR37aV1uu+R/ijD7MWmCRF2JPGLll+K9MYtjIiQpY/yyv0z5cA5wIgKmt6v6EaS862bU9/KTK7SxFA06b8r3Hub2jiydOv4sJ3HkUtcCMUhQveeIjbahYSau/Mdnh5SZ1NVCQUBV9NJa3SoSEnMFqT24cXej10dkbO+V4knjoCSRxePCXgLISwP/HyVOMYLKIi2+fMAccMMW5KwnbTNNnZlERUZHcpMk0IWs5ZHrebIk9h4m3q0/A7Y79H0vJ7MIMosI2WD+y9PEBO0q20mNZ9RHymMQza63bTXre715vs/nw9pmFGHJLAd+A0fAdOY9S1l6K1tNG5ZiOBdZspnncABWMTO3yN+tHlbPq/O9j6qz+n5GNILEHRvI1vobh7P9ilu5tJ0wdLaHzvk1SHNmiQOpYsI614JJIYfbwgVe4/mS/87rqoq3F0N4bBqide4qWv/xAjlN/3kb1Blj+TpAOHz0vR3Bl4pk3AM3UCnslj8UwZHxUUddEHQVEAeA1YDDQB1cAwoAYYElknhGVrV4FVDiyIlatyAyMBX4L9msBOYBXQBpRG2gJAJdAJvAW8E5keH1neCYyOzJcDLmAEsD+2ih3dcZUWM+HC05lw4em0bdjK1mdeY8s/X2XXux9H1xGqyoRvfJkZ//ctvCOqu++iFfgK8J8eviuJRCIZ9EhRkUSS+9QAfwWOszf6n36S9lt+itmReOS8JL8wbaIiIcufZZ6AdCrKV/QVS2MzTheUlkNzQ88bqWpcMr1pY/oFPgVlMVGRaZqEWgfGtbv24+W89K2fcupfbgHAXeTlovef5I/7n5zlyPKTUHsnpmGVrgHwDquQoqIcIZlTEYDHYxMV9cIhe1djDyWuympg1/o+RtdP7C4neu9HHecdOebIpOx3UML2htY2AslcR10xUZE9sZPMpQiA+jRcO+zlz0J57lRkd13S89QRTsQnp7onr/IBrdPPy1f/nOPvuAGlW7JNLSmieM4MiufM6HEfwuFg7C3fY+hpX2DbnQ/Q+OKb6G2JS1ZKese4X3y/14KiUGMzarEPxfYMFdzVwJIrbk5XeAMYKWTJFfK5/Flv9B9d6+zxMXv7sfP4+5H0HdPmxNolAk5E8chhHHHztznggi9Fn2fB6v+oX76WZ770LZoHkbOgocU/X0mnIklvcVYNpWThbLzTJ+E7aD8Kx43CWVUOQuAsK9n7DvakBdiBJZxpANqBbcD7wMvAvtw4CywRUBWWIMiPJU5qpKf6mnvy370sL8ISL7UCM4F5wAws8dFcLPGRteK4kUz77jeY9t1vENjdyK53P8Ffu5ua4w+laOyI7vs1gKeBa4FNfYhXIpFIBiUycyqR5DZnAn8ipgzHaGyg9cYfEnr9lexFJUk9mk1U5JROOZnGtCfxpKgorzA2b8Bsb0P4ihBCoBx6PMbzj/S80dgpcR3FLVvSX4rM7lRk6gOrLPenf/0Hww+ewaxLvwpA5fSJnHLvz3j+0h9nObL8RA+FUQssAYG3qjzL0aSHfEzUmP4Apq4n7AwuLi6mvr735ZM6AyHaO/34EjnMlA3PnKjI1tmPmX2xTdqwf85elKdLK5U1iPLKhIs27+7hHLI5FdkFYFXJOpXbGyGYBse4gSQqsrsuGfknxgHiz232TF7lC4v/8DDLHn6O/c89lbFHzWPMEXMpKC1O+FuhBYLUfroSLRDA4XIx4uCZKKp1XS6asz9TH74NIxBk5yPPse239+FfuynDn2ZgULJgdnRaDwRpXbYG19AyFNVB+9rN7HjyZXb95x3823dihsMIp5PCEVW4K8sxDYPWZWswkrnySXqHtCrKKl3XFQAjj57dHC4n7hIfhUNKUQvdqAUu1AI3jevihRxxl9e4cy3+upvsLMzHe3lJ/zHt50iCv31heRkLr7+EuVeeG32O7cLf0Mx/LrmRtf96Nd1h5iSmacb+X6RTkSQBamkxJUfMo2ThLLz7TcSz30TcNVX92ZUOfIrl5vMG8CqwDNgNaPRN4NMXTCwxzqY07b+LtsgL4L3IqwsfcDJwAfAFIPrPVlAxhFGnHZNof0HgbuAuYHMa4pVIJJIBicycSiS5SSnwB+Ace2PwjddovfF6zIbeJ64kecJeHtIl6cX0y/JneYtpoq9ajjp7PgBi1gLYi6hImXZgdLpjVwOaP/2JUbuoSA/nZ9KvJ17+9s+oPmAqw+dabgIHXnwmG15/nxVPvJTlyPIPLRCMdsYWZrAufdbIo6SZtrsBZ/WegpChQ4eyYcOGPu1rZ2NzYlHRkOH9Da/v5JiDT9pQbI+8WRZdKFNnJmw3TZPVW3sQuLoKYtM2V53q8iTXiHS4FAkFYRcVhfNcMGD/LHnrVBT7Hzbz6FqaiEBzK4v/8DCL//AwAMWjhjHhCwsZfvBMhkwcjeJwsH3xMt740e1ogdh9W9n4UXz9rYcpHh5LvigFboZddCbDLjqT3f94mdUXXo/RmaGykgMEpTB2zdn05ydY/p1belzfDIfp3LiNzgy4f0okmcBeRsbMtiA5AYXlZZSMGoavaijeyiF4K8vxVpXjLvJSOX0SBWXF0XU1fxBnYUFSIZDsipLsDYft/8Gw9WW4S4qY/91vMO+ar+Mu8sZtowVDfPDLe3nvJ7/PWJy5jpADGCUR3COqqTr/S5Sfegy+g/aLc/bqJS3AJ8DnwApgC/ABMFgTRu3A45HXCOCLwJeAoxOsq2NVBPkFsDFTAUokEslAQd7NSCS5x9HA37BuggAwOjpov/WnBP7xRNaCkqSZuDyA7MnJNGawW6LB4QB9ACdYBxjaiqUxUdHYKXtdXxw4Pzpdvzozz5CFthI1ejDPE7EJ0ENhnjzjKi79+J94K4YghOBLf/8NOz5aTtMgsjhPBaEOPwWlViKgoKfSRpKME95Rl1BUVFXV95GEOxtaGD9i2B7tomw4psOZGZGDXZAwgMufCXuZq2TlxTKEmDQ9Yfu2+gY6gskFrsJe/ixk/Ya4VJWhJUUJ1zfr05DYd3TrOgjnuUhDGQiiooE74r11Sy2f3P8Un9z/VI/rNa3fwu0jDmP/c7/I4TdezpCJo+MSMxVnnEC4vol1V/4kzREPLDrXbMAdEWqNv/p8DH+Atb/5C6amUTi8isLRw3F4C2n9bCUd8j4vdchugJzB4Yz9RuSKy6y3spyxR82j+oCpFJQm/v2H+K6lUHsnu5at6dnJrgdVUVLBqlQfDSqUbqKiwiGlzP32ucz7zgXR59bocl1n5SPP8+9LfowRyu59d64hpFPRoKZg/CiqzjuNsi8cStHs/XsjJNoCfIjlNrQU2I4liGnGcgXKjR+n3GMblgPR3cBQrNJoxwAFwErgWazvViKRSCT9QIqKJJLcoRBLJX21vTH08WLarvse+lZ5vzOwkcPDskp3kYeqSlFRHqF/vjQ6LYZU9Lyyrxhl1sLo7Lb3Pk1XWHEU2kaLhjvzvGRMElq31vL0Wddw7it/RXE4cDhVLnr/CW6rOTRvS7Jkg3BHLFHvLvFlMRJJd4Ibt+A5aMYe7RUVFQgh+uQUsrOxOfECxQEVY6FuTX/D7D1xTkUD+H/ULirSsigeqRqOKPQmXLR2R13P27pjriFmyLpGDK8oR0nWGb0rDQ7u3Z0c8738mU0kZebr+T+ARUV9ZdnDz7Ls4WdRPYWceNeNzDjvizhc1jlb8ZUTpaioj2y49tcc9OE/o84mE6+/lInXX5pw3Y1/fIxlV9+CGc5TcV6Oku/uY/mOy+a6omV5QIinYghTTjuGmln79Wk7LRhi13JLUKSHk/dtmGmriCMZKAgl1kc5+/KzmXnBaTi7Oa6ahsGGl97mpQuuI5DsOWeQI52KBhdKgZvSYxZQcuhsSo+YR9GsxINLItQDr2OJiFZEXttJX8mywUI98FLkJZFIJJIUIO9mJJLc4CDgYWBqV4MZCtFx1+10/uXPkIN2y5LUYtoFLH23PZXsI4a/22h71bmn0EiSs+grbKIiVYURY2FbAgei0RNw/urBaIk7Q9P48O6eS6WlCnv5s1BbR0aOmQ02vrGIN350O8f86vsAeCuGcNnS57hn2olZjix/CHV0RqddRYkFCAOJfEqahTYlFnirqkp5eTn19b13G9/d1EpnIIinwL3nwmGTMyQqst1vDGCnojjxSBadisSIMQnbNV1n887dyTdUHAinKzbvbwdgTHUSEW1nM7Q19jPKHlC6dR2E8t2pyCaq0/N0JL0UFe2B1unnuYtvoGVbHUfcdCUAhl/e0/eVjk9XsPLca5jywG9QXD2Xhh57+dk4S3x8fM73MxSdRJJ+CmxOgKH2zh7WTB8un5eJJx3OmMPnxok6ekv9qg3RUlWm2UOfov1WXA5wkyTAW1keN28XFJmmyZY3P+Cl835A+45dmQ4t9zGJutBJp6KBjVJYQPH8AylZOJuiuTMpWTgLh6/H/pwNwANYzjkrkM5DEolEIskDpKhIIskuKnAd8BNs/4/amtW0/uAatFWfZysuSaaxuXgIp7w0Z5xA/Gh7oapyOEgeYe6qxWjYjVJuJViVw07AePQea+Gcw3F88VyUsZOhbGh0xDXA4nsepXVrbUZitJc/C7S0ZeSY2aKxWxmMiqnjOeLmq/jvTXdlKaL8wu5kpXYbASrJLuHtdZialnCUaVVVVZ9ERQCbduxi2riRe7SLqvGYwgFmmh3z4pyKBrA7n10Mk0WnIjFsVML22sYmtJ6+/wJPdNI0TQh24FJVxg5LUnavNk1lPbuf9+E8F2o47KKiPBXVyYEISZl00hHR6baPlmUvkDym/omXWPTmB0x99HZKDz84eg9tmiampiMUJZogHfG1U2j438ds+tNj2Qx5ACAFHbmCvbxYqD3zItphs6az/9dOxuXtx7OAadKxq5FQa3u0SShK3HNwtw1i6/XyEMn3JRkwCMGkk47gkB9cROnomj0Wm4bBljc/4OULf0jblsz0qeQnNlWRZMDhO3Aa5aceQ9kXFuI7YBqK27W3TVYAfwf+g1XSTAqJJBKJRJJXyMy1RJI9JgAPAfO7GkzDwP+3v9B++28hlOcd9ZI+YdqTXA55ac40RndXInuiSZIX6CuWohx2NADKzIMx169C/c7PEKVDEq6//PEX+c93f5mx+ApsTkX+ptaMHTfTHH/Xjcy98tw92g/78RVsfnsxG19/PwtR5ReGrXyIQ4pMcwvDILR5G+7xY/ZYVFVVxYoVK/q0u2SiIlQ3VI6DnWv7GWgvEYPPqYgslucRNQn+1sDO5paeNyywJRQj4qOJI2pQ1cT3Kua2Vf2Kb6/s4VSU5+XP4kR1eVq2Sdg+Qx65vmUCpy0RH9xai1BVlAI3evvAdYtMB9quBpYdcz6Kx4N3vwmEm1sJrN8ChoHi83Dwxrdwlln3uPv95gfUPfc6AelUkRIKSov3vpIkbRQNjwl323bszNhxFVVlxrmnMmLezH3aT/OWHbT7O+kMBOgM+mnu7GTDdmvgh1CU2MuhoNjKmwqHA6enAIRAKAre6qG4XG5rPYcCCBCCCccvpGrmFBwuJw6niqI6MHQDQ9MwND3y0jB1A0PXo8cDwDQtkXTk3TQMTKPr3Zo2wmH0sIYR1tBDYQxdR1HV6LEUpxNMEz2soYdC1nrd1u/pd9HQDdpr5bUqEQ6Xk/2/dgqH/OAiKqZN2GO5aZqsfPQFXrvypwSbB26/RuqQgqKBhuIppPrCMxjxnW9QMGbE3lZvA/4NvA+8giUqkkgkEokkb5GZCokk8wjgEuA2IOqDqe/YTuv13yf8gUy4Dkq02Ah1IQUtmaebUxFqzzb/ktxD/3wpzi5R0Yy5iP3nJBxB2bZjF+/f9gCL7ngwvuxgmiksiyUGOuubMnbcjKEonPfKXxl39PyEi4UQnP3Cn7lj5OED8/OnEGFznjAHYvnT7s4aeZYID23aGi8qivxmDx8+3Jo3ev95dtQ3EgyFcScqLTNyemZFRQPZqSgXxFOl5Qib45Cduqbmnrd1F8SmIyL0SSOHJV7X3wY7N/UjwF7QXfRu5LkQLc7BKk/LnynymSEZu5atoWLqeABqrjiHmsvORqgq7UtXse13f2HXI89mOcL8wujspG3x0vi29k6WHHkOsz55DqEoqD4v0359LZ+cK8ugpYIjf3oVM8//Ii1b62jbvpO27TsJtrYTbG0n1OHHCGsxEYZpojgcEbGFGhNfOFUcLmf/XGWEsLaLiEuE6NYWfY+1C0WxLbPtK3Jr1CUkiU5bE7ZjCKvMV9e+IG5f0c/RPY5IG2ATphiYuvVu6Aambgldur6vWGzWtKEbaP4AWiCIFggx8cTDo6s0rd/a9++vH7iKvMy5/GuUjdtrkpqK/SZSNnE07f5O2jraaWtvp7Wtjda2NlZtXkW7vx0KTChQQPjQ9UJqRg3B6ey5n8PlLaRm9v7R+cmnHJVwm/HHHtL3D5hjbH3vE/52+HkYWp7fz6QIT8UQZl92NnOuOBtfshK7gKHpvCiv873Hdi3Mp7LfksR4Z0xh2pO/p3DC6GSrtAPvAe8Ai4D/AXk+EkMikUgkkhhSVCSRZJZq4D7gZHuj/5mnaf/5zZhtcpTHoCXOqUgmCDLOHqIi+fOYb+ifxyc67J3nO5euZtW/XmXbB0vY+Pr76KHMOxLYy5917GrY6/qKqkY7OBVVxeXzoHoKcDid1ohQl4riUFFcKg6n00oaOFWcnkLcRV6cXg9qgWW9LBSBcDhwqA6EaiUXHKpKqNNPuKOTcIcfo5sQQnE4UAtcOAvdqIXWcRWXisPlio1ItSUtxhx5MN6KeFeof57zffRQmDOfuhMAZ4GbSz56mv9n77zDo6jWP/6Z2ZLeCSQBAqH33hQF7OWKXVSseO29Xq949drbz4vl2ivXrtjFgoqgYKH33iG0JKSXrTO/PzbszmZL2mZnd3M+z8PDlLMz72Znd86c93u+73Pdj23V3zLWMZg9ltkOa5S6ZwTBaG5gCe6MLuGUdfsuUo472rOh/p6dkJBATk4O+/c2vXStoqjs2HeQfn5mOEode6KaEsDeliU3NN/7WC5jIesvnpJy/CcIFUWhuJFZ3pLWqchuISUxgeyMNL9t1e0r206opxGwxERSxBBboqKY+ExCyLz7n2PAeSd7hA71vwPJQ/rR960nqFi4FOuuvTpHGf3Urt1M0Qff0OniMwDoetFkdr8xi5L5i3SOLDpx1nk/k2b26kZm4MSlIEwUrd3c5udI7ZLD6Bsu8pqIEghbgpmdSg3z53yHpeE4Rj2HRVeHMRqNVFdXNyoqakgs31u6HjmCHscfydYfftM7FF3pOKgP4269jMEXTcYYH+e1T1VVqvcXs/rdrxh/91WAy0l35K2Xs+zZmTpEG+XE7tcpJkkeOYjMk44mZewwzJ06ENc1F3OnDg2bqbjEQ18Cc4E1QJQ+WAgEAoFA0DgiayoQhI+zgNcAdw9UKSuj6oF7sf7wnX5RCSICVTs7SoiKdEFVVbcQRTIaxfN+lOHcsMZnm6W8kq+m3cPGL3/WISJvEjTlz0ZdeyHWympWvDGLysID7u3JOdlMfOBGhlx8Bub6sh3a6zJaKN26i0/OvZmDq1wleH5/6g3G/+NKANK7dWbK5y/wydk36hliRKMt2eKoqdUxkrZBNns/foTTMSwUWDdvQ3U4kOrFp5KmBFVBQQH7FzdvtvPmXfv8ioqQDdC5P+xc3qp4g6JNFDV0kIolvJyK9BIVdfa7vay6BkdjQieNU5FqqSU3KyNw2x2rA+9rLbFWntfruojSstNat6UYTvy2hEObdt4W1NgAACAASURBVDD//ueZ9ODNLucTDZLBQNr4kRQJUVFI2HTlPXQ46wQMSS43tsEv3Me8wZPFNdkCarbuIqmgcZcaQXjZ3sblmzuPHcqQi09vtOxxjaWO9Tu3UZVsIs0SwLEwCPZGSsD6ExDV1dZiNBhA1e5XXeXN7A63C5SqKG6HKdkge1yr6l2uXC89/Pr6MZfDP80uuyu365WrwpqEJB12vqrfrqqu49SXTWvonoX7cE1/dk7tmtPktjGFJNH7lAmMvfUyep4w3me3qqqUbNzOD7c8yvaffgcg/+iRdD1yBABHPXyzEBUJYhODgU5TTyfvxktIGTmosdYzgfuAwjaPSyAQCASCCCHGRgYFgogkFXgOuFy70frbfKqm34VSXKxLUIIIw65JQhqFqEh3RPmz6CM5xWu1rrSct8ZfSMnG7ToF5I1BU97IlBDHpH/fyMT7b8Bpt6MqLuGQv/IE0SYo2vDFT3w17R6sFVXubXOnzyBv1CAKjh0HQL8zj2f0jRez5IX39AozoolLdVdGxVIWew6GckMnuChzKlLtdizrN5MwZADgXa6ue/fu/KE27/0cOFROZXUtqcm+pbGk7iNRwyUqkmK47xEBZd6kTv5FRUUVjXzHDQYkk8bdq66KTvnd/bctPwg1FS0LsCnEmuhdWzosWp2KDJ6+hdqM0ovthd8eeYmlr3xIzxOPora0gou+fdX9my03cGMQtAKHg83X3Ue//z2NJEmkDuxN1oTRHPp1sd6RRTW7Fixhxy+LyOyZT3r3ziR2yMCYEIcxPg6D2exyItWUIFMVtb7sl4ridKKqKqrDieJwNBB0NIN6EYe7bFn9cdTDy6qKimvZVVas/jwa8cdhsYdbGOJa89rm+v1SXf+rrvfhOqyqiePw8uFNDc5zmPoSarJBRpJkJIPsdm2VZde6prF7STbKyPXur0kdMty/FZaKKqo0k0BCiWQwMHDKKXSfODpoO6eisGHXdrbu3Y2iqmSk5bv32S1WqvcXe5V7U1XVXerN9fd0/U3ttXXUxptd6yqgKh6RToCSy8trDKQmJftsX/Pht+yK4O+4z/OGhlt3zycl11XeKy7V973FMqbEBIZeeiZjb7mUDv16+OxXnE52zlvEdzc+xKFNO7z2/frgi1w8500AzMlJPq8VNAEhto1YJJOJjheeRtd/Xktin4LGmm8GHgLeb/vIBAKBQCCILISoSCBoWyYA7wBuz2q1tpaqJx/F8pHoewo8qE6PqEiSYyxpE43EWuIs1pFlkt/81L2qKgqfXnB7xAiKAFa98yVHT7/Wa5skSb6loFqB4nDgtNlxWKw4rDYUu8M9AK8qKqrTieJUXMkFp4LBbMIYb/axOQfXQL3TZkexu46pOJw47a7/lfoEhXuGqsOBw2pjy+z5rJz5ue+xnE4+veA2rl72OWldc5EkiZOfvZfdC5dxcOWGkL3/WEE7uF3bhFJ50YZs9hZtBkpiRDJ1a9a7RUVoHDCSk5PpkJ5CSXlVgFf6Z8ue/Yzs39N3R3ImdOoFB7e2JtwgtJPyZ3o7FckGpGz/jgJF5Y2IgMwalyJVBWstnTL9lz6jpI0nyUox5malveadUSoqMnr6EEqUCTTDRW1JGWs++AYAa2U18emu0kIJfbrrGFXsUfzBN/R8ejrmjlkAdL3kDCEqagGS5hm0bOsefn3gvzpG0345+fl/MfamSwAo3bKrTc4Rn57KyGvOJ6MRZ6o6q4U/16+mvNrTt5Q1gnZHnZXKPfubdE7J4qB5fppgCiDOURyR7TSqOAK/U61LarRN4GkpKZ07MebGixl59RSvsuyHsdfWseqdr5hzxxM4av2XXo6ksZWoRYiKIg7JaKTjxWfQ7b4bie/mdxLIYmABsA0oBf4EdocxRIFAIBAIIgohKhII2oY44GHgTjTTn+yrVlL5j9tw7twR8IWCdooof6Y/2pmUQWa2CSKPxOffRs7Mcq/PnT7DbdMdKfxy7zOs/fBbuk8aQ7dJY+g+cQyJHXxL2NSVVbDx859Y8tIH1JVWIMkSTpsdp91RbzHvRHUq9f873bORI32Aqra4lE/OuYlpCz7AGGdGNshM+/U9ns49KuDAZXvFnORxrKneV6RjJG2D3NCNTyfnmNZQt3ajy2FMlnyEFj065zRbVLRp116G9y3wShK56Tm2DUVFmkSK0tw0UxShKRGlS7m99MyA5eVKGnMqivOUQ0RVMBmMZKT4n1WvhlVUFNn3nCahTSRG4e8QAAaPqCjaSknqwa4Fy+g7+RgA8q67iIPvfUXt2s06RxXdJA3pR+5V55Mybhim7Ez39rRh/XSMKnrRuugo4jutG2n5HiFwVRv0xbP69mDElecSlxLc7aW0soK/NqzGYvMWvmpdMmmGQ6baTP1MvNlMgqYEqxZLefS6qXo9Nse4qCh35CDG3XY5A6ecjMHUYGKHqlK9v5gFj78qHIQF7ZKEvj0Y8PHzJA3q03CXArwH/B+wNuyBCQQCgUAQwYisqUAQeobg6nwOPrxBdTioefE5al99SZ8Z0oLIx6Gpbx8g8SRoazSjS6L8WdRgmnIpxtFHutc3fP4jvz/5uo4RBaZo7WaK1m5m8QvvgSTRoW8Bmb26uWz/nU6q9hdzcPWmmE0M7luyhu9vepjJrz0MuBx5rvzjI14ZdobOkUUOstGIbPJ0zyt37dMxmrZBbiCcjcaSPWqdBevW7cT36emlywHonZ/LkvVbmqXzq661sH3vQXp19XWzkTK7oKbnQXkbXAva/kYUOkY1ieQOkKhx9qmrCXsIUma23+2KolBeUxv8xWaNk5zTQXZ6auBZ9Yf2tjDCJuKVxGzbU4WdZpYtjBi0grlY/Q6HkB/veII+p01ylZxNSmTovPfZcP7NlP/yp96hRR1yajLD5n9I0uA+fn+TqjYIR4uWoHUqinQnmFgmOaeje7n6QHFIj93zxKPod9YJjWpZ9hQdYNmWDSj+fts192PFbz9awu+Nupn6mbysjgH3VeyO4mcUzT0/Fp2KJFmmz+RjOOL2aXSb4FtaT1VVDq7cyJzbH2PnfOEoF07UCJ8I1p7IPO0Y+r83A4NvKb+ZwBPAprAHJRAIBAJBFCBERQJB6DAAtwOPAO5po47t26j8x2041qzWLTBB5KPaNeXPhFORPmif74WwKzrI7kTCrdPdg4Gl23bz1bR7dA6qiagqJRu3tzsb8eWvf0KXsUMZ/vdzAeg0tB+nvvQA313/gL6BRQh5owd7DW6Xb4s9Z21fp6LoTITXLltNfJ+eSA2cipIS4umcnUVhM0vXrd6y06+oCICeY2DZly0NNQgx4NTSGN2Ge32nlNXhT54EEhVV1tahNCZm0ToEOGx0zAhQ+sxWC9XlLYywicRa+TPt9R+tSR7NZyISVY1TumUnvz70IhPvvwFJkjBlpDHg0xdZNuRUrIUH9A4vajCmpzJ681xMAUox1u7ay4Z/PRvmqGIDL6eiIOWbBG1LQnqKe7m2uDQkxzQmxDPssrPIacTFS1EU1uzYyrZ9ewK28XI48vvb7/9+oBoNSCpNEhcZZJk+Xbr53Ve5twhbVfhF2qFC+yeT5NgRFZmSEhk+7WzG3nKpa+JSAxSHg83fzuf7Gx+mMhT3PFmO2uc43RB9tYjAmJXBgE/+i2w2azd/CDyGcCYSCAQCgSAoQlQkEISGnsDbwNHajbXvzqT66SfAYtEnKkH0oHUmiaGBjahC+4BvELfHaCD5hXfcpeqcdjufnn8b1spqnaMSNMZ3Nz5Ep2H9yBs5CIBR117A9p//ZOPnc3SOTH9yh/d3L9ccLMFRF3v9B4O5gRNclA5G161cg3reZL+JmT7d8potKiopr2Jv0SE6d8zy2Sfl9EFNSIO6ipaG658Wls+IKhq+r4M6zKwPICoqq248ISdpnYpsFrJyfMtmAnBof0siax4xV/5Ms6xGqahO9og0o9H1TQ9+feC/xKUmM+7Wy5AkCWNqMgVP/ZONU2/VO7SoYcjP73gJiiz7iij6cSEVqzZStW4rh35djGKzBzmCIBDCqSgykDSuoQ5r66/lxOxMxtx4McmdfPt4Wiw2K4s2rOFQpf/+niTL5AwfgDFOU/qyGf1oSZaQ7AqqqXGR8Mg+A0iM91/67MDKDU0+Z2SiVRVF/9hbSudOjL3pEkZecz7x6ak++62V1Sx/fRY/T5+B0qCUXquI0mc4QfskvnsXMv92DFmnHUPGCUc13H0m8JUOYQkEAoFAEHWIrKlA0Dok4BrgacA9Xch58ABV99yF7fcFugUmiC5Uu+bhXhZORbrgJSoSn0GkE3f1rRgKerrXf3v4ZfYvE5OKogGHxcon59zM1cs+IzErA0mSOPfD//B879VU7g5DYjyCyR7Qy71cFaN/CznOa0Zg1Jb7U6026latJ+XEST77uud2xGQ0YG9mQnDV5p1+RUVIEvQYBevmtjDaQGidWqLzc2gUTXlZVYfSZxDYqai8pgnxaGbQqtY60pO7+G2mlofBZSX6826BidaZ41qnIpHcazI/3v44qZ07MXDKKQBknnR0I68QHCbv5stIHjbAvb7n/W9YecU9QkQUIiSNm6PTLv6meiFrJnm11jEqq08Bo669AFOif4HOYUoqylm8cQ2WAKIPY0I8OcP6YzB5D+NbyquaFY/kcKCazAH3mwxGhvfuR5fsTn73K06F3QuWNuuckYZWhCtFsUN17oiBjLt9GgOnnIzB5D1pQ1VVKgsP8NtDL7L8jVk6RSjwIVr7m9GIJJF21EgyTplEh8nHkdi/Z6CWryMERQKBQCAQNBkhKhIIWk5X4E3gBO1Gy7ffUPXgv1ArQjybXBDbaAcNo3hgI6rRPOBLwqkoopF79SHuiuvd6/uXr2Ph46/qGJGguVTs2svnU+/kou9fR5JlDGYTVy36lP90Prpdz3rM6JnvXq7crYOjShgwJSV4ratRnIisWbyclJOO8dluNBro260za5tZvq6w6BClFVVkpqX47JPyh6LuWAa1ISxxpXWeidXvndPqXpQSkpBPnYLy3SfhO78kIWX4dyZo1KnIYEQyepJEkrWGtKRE/20rSloaYdOJ5fJnzij9HdJ+JiJR1Sx+f/I1t6jImJaCITkJZxPcw9o7Xe+40r1cuWYTK/8+XQiKQoiXU5FNlD/TC8Xp6RPJxpaPC+QfNZLBUyc3WmJr697drNm+JaAHYGJ2Jll9C5A140S26hrKduzFUtbMcUen/7MkxsXTJbsTvTp3JV7rktiAnfMWYSmvbN45Iww5mssMShJ9Jx/LuNsvp/vEMT67VVVl/7J1/HDro+z5fbkOAQqCIvpqbYsskzJqEBknHEXHi84gsU9BsNY1wEzg7rDEJhAIBAJBjCCypgJB85GAS4HnAbe3rFJWRtWD92H9frZugQmiF1UjKorm2VJRjfYB3yiciiKWlFSS35jl/p7Y6yx8ftGd0TcgKGDbjwuZd//zHPuIq+RIck4HLvnxLd49/nJ9A9OR1C6eWcFVe8LgPKIDpkSPqEix2aJ6cNW6eRtKba3ffYN7dWPd9t3Nfntrtu5iYn1pQC8MJhh+Gvz+PiErPaUt+aDE6G/onnWoihOp3gXSdMuDONIycH4YJiFqSlrAkqoVNf6vHTdmj6uBqqqkGCSMgfonYREVaZ2tovd765dovf5l4VTUUvav3Iiqqkj113XyyIFU/LpY56giH7OmfNPGf/8XxRrCUjoCb6ci8WyjG6rGadKnbG9TkCQGnHsyPY4bF7SZw+lg+ZaNFBYfDNgmq093kjp1cP9WAVQfKKF0685ml700GgzEm8ykZmWTnJBISmISyQkJJCckEhfEvegwtSVlbPrml2adMxLRCsWcUSKKNCUmMPSysxh322Vk9e7us19xONg8ex7f3vAQ1fuKwh+gQKAjclIi+fdeT86lZ2HO8e8QW89G4BvgW+AvwBqssUAgEAgEAl+EqEggaB45wKvA6dqN1l9+ouq+6SglxfpEJYh+tDbXQlSkD6omGSPKn0UmKamkfDwHKdFdbZI5tz1OycbtOgYlaA0LHnuFzmOG0Pf0YwEoOHYcR02/loWPvaJzZPqQmJ3pXq7aE5vlz4zxmtnPzSwPFnGoKpb1m/3uSklKoEfnHLYVNk8ctmXPfkYP7E1ivO8scSmjM2rvI2HL7y0K1/eAWlFRlH8WgbBVo866B8573C0sMl5+K6Rm4HztyTYXx0hZHf1uV1WV8sZcUeI0pVJUhfSUpAANVag61LIAm4MUW/XPtAna6HUq8vRXm5tcbvcoCnWlFSRmpQPQ5bYrqFiwNHZd20KAsUMmkiYZX758vY7RxCZap6JoETvEIlpBV3NFRYY4MyOvmkLHQb2DtquqrWHRhjVU1vrvC0gGmZxhAzBrHD5VRaF8514qg/Qt481mUhKSSEpIICne9S8xLp6khATiTGbKtheS0cN/KdVgOKw2lr7yEc4YEBJ6ifci/P2kdslhzI0XM+LqKSRkpPnst1bVsPy1T/h5+gzXZI22JMb6gXoQa5p8PZCMRpAlt9uxIS2FQV+/Rtr4kf6aq8BcXCKir4AdYQtUIBAIBIIYRYiKBIKmcx7wMuCenqdUVVL9yINYvvxMv6gEMYFqF6IivVEV1VMIQ5Q/izjkHr1JfnMWUlKye9vSlz9k2asf6RiVoNWoKl9c+g+uWvIpWb27I0kSxz58C7t/W8ruhUv1ji7sxKV6ru/K3bEpKpJNnuSM6ox+IYtlzQbNmvdI8dA+3ZstKlIUlZWbdnDk0H5+90t9jkQt3g7lobg+tKKiGE6kb16I+r/r4dIXkAyu68949mVIqek4ZvwLnG3oBpHRwe/m6joLjsaEXPGaUoEOOxnJAURFNRVt+x4OE0vJJGMDR4ZodSrSlD9T1Rj+DrcRG7/4iRFXngdA1mnHMvDLV9hwwS0otXU6RxYdOMXfKeRoxQ6KXYiK9EJbes5gavq4QEJWBmNumEpKnn9B8WEOlh1i8Ya12APcu80pSXQa0he5gcisZON2v6XHkuIT6JHbmYLczhgbGceQTc2fPOWw2lj83/eCipmiCa+/qz0y7/9dxg1j7K2XMeCcE31K8KmqSmXhQX576AWWvzFLpwgFLUKoipqNITWZ9EnjyJp8LKnjR5LQqxuSLKNYbdiLSzFmpmFI9Cqv7gD+BOYA7wM7dQhbIBAIBIKYRWRNBYLGyQJeAC7QbrQt/I3Ke+9GORCbST9BmNEOGsZS0iaa0DzgS0Zxe4wk4u95GPMZ53uVBtw8ex7f3/yIjlEJQoW1oopPzr6JKxd9gikxAUmWuXjOG8zoPMHvwHksY4zzuNNU7t6nYyRth0GTzFCj3akIUKyBXdM7pKeSl53BvuKyZh1z7bbddMvNpnPHLN+dkow0fDLqb2+H1l0l1vsehWtQX70ErnwbyewaeDYcfwYkpeB47HawtY37vZTp34K/rDGXIgDN7wF2KxmZyf7bVYbBpQhA1iQioz0poiktB0SvU5HmM1GdQlTUXObc8QSDp57mLsuZdeokBs95m9XHXeKeAS/w4Cgp9SoZZ0xJwlZcqnNUsYXWqUgR32ndaIlTUUbPfEZfdyHm5MSg7bbu3cOa7ZsDFrJN7ZJDekEXLzc9S2U1Jeu34fTjRNM9J49hPfsiN3FimjkpEafN3uT3VbW/mOWvf0JVDJXU0v5tI+neKRuN9D/nRMbdehldxg3z2a+qKgdXbuT7Wx9l929LdIhQ0Gqivf8cRtImjaXTRWfQ8aLTkc2+5RnlODNxXXIabp4FXA+EoS60QCAQCATtE2GHIRAE5zRgLRpBkVJTQ+W/76X875cKQZEgZKjaAaJYT+xFKlqXBuFUpDtyr34kPPkSqb+vJ+6sC70ERctf/4SPz7oRxRGZMwsFzado7Wa+vvJf7nVTYgJXLflUx4jCT3JONpLs+f2v2hMbs4EbYojTDArGQMktbQLQX4ZoSO/uLTruvKVrsAQqyZCUAUNPadFxvdEELLWDx8JDu1FfnIJa5xErGo44FtOjr0NiAMFOK5HSMvxur6itbfy1GuGLaq0LWP5MrQzTuLlX3yjKkyLmBO/1WHAqimW3sTbCVlnNC31P9kqWpx0xgvx7r9cxqsjF2CHTKxmvRHjZIIGgxWgT/00Ym+kybhhH3D4tqKBIURRWbt3I6iCCoo6D+vgIiir3HaRo9UYfQZEEDOnRhxG9+zdZUAQQn5FGTRPEgA6rja1zFrLg0VdiSlAEeH2mkXDvjM9IY/zdV3HLjrmc+9EzPoIip93Bhi9+4tn8Sbw64kwhKIoizMmJ3uV2BY2SMm4YwxZ+zNCf3yVn2rl+BUV+qAYewJW7EYIigUAgEAjaEJE1FQj8kwbMAK7QbrQtWUTVPXfh3LNbn6gEsYtNOBXpjnZASTgV6YLcvSdx19+JacyRkOA7AGOtquHnu59m6csf6BShoC1Z++FsuowdythbLgUgs1c3TnpmOnNue0znyMJD7qiB7mWnzUbNgWIdo2k7tE5wkTQ7uMUYgidyunbqQHpKEuVVTXCm0VBrsbFgxXpO8DNTGUDK6+8Sx2yY36zjBqS9lE6qPoT6/Llw/QdIKa7SZPKQ0Zie+h/2e6+CihC7bqT7cZsCKmoaExVJYNY4FVlrSA+UrKwI09i5rOkbRftM64aionCUj2sLNJ+JcDVpGZWFB3i22zHcsOF7MnvlA5D/z2upWrSK0u/muxoZDCQN7I2jtBxrjJT/aQkpIzz9FMXhwLI/NvspuqJ5HhWJaP3w1hQF/xz6nXUCvU46Kmgbm93O4o1rKCr371wpm03kDh+AUSO8V5xOSrfupuag7z3ebDQyut8gOmX472MEQ5LAVh24D1K+cy97F69mz58rcdRZmn38aED7kao69mc69OvB2JsvZehlZ7od87RYyitZ8vKHzL//eTGZKgrpOmkM5815y3tjtPef2xDJaKTHf6bT+YaL/e0uBX4GvgaW4BIRpQMdcRkm/AU0PmNDIBAIBAJBqxFZU4HAl2OBt4H8wxtUq5XqGU9R987b3sIDgSBEqHYx01N3tIO4QlQUPtIzib/yRkzHnYKU2cHvwK2qKGz44ifm3PY4lXuEQ1ws8+OdT5I7ahD540cAMPbmS1j59uccXL1R58jank5D+rmXq/cWxeygo2zS/L46Y8CpqJHZ4ZIkMbhXPgtWbGj2sXfsK2Lzrr306dbZ/7F7jkWtq4Kdy5p97PojeBZj9Hrzi63aJSy69l2krK4AyL0HYJrxPvbpV8LBvaE5j8mElJTid1dlbV3w15rjvK6tRNWO2RSgVIkeTkXRLkLzcSqKzlJXklZUJBKOLUZxOHhz/AXcXvgbBpMRyWBgwGcvsu+l97Ds3EvnGy8loadraKDow2/YdOU9qO3Qpcep+d2SjUYMcWacMSo60AutwEFuRLQsaEOa4FRkMJsY/vfzyBnaN+ihqutq+WPdKqrr/Oe741KT6Ti4D7LG+dJeZ6F4/VbsNb59hfTkFMb2H0xSvK8IpanY66xUHzxEzcESqg+UUFN0iMq9B6neX4zD0jblYCMKncuf9TzxKMbeehm9T5ngs09VVcq27WHe/c+x9sPZYY9NEBoSc7I578e3MGj67rYDxVh2FOoYVWQiJyaQd+2F5F51AQm+Dr8/Ah8CHwANO177gPVtH6FAIBAIBAItImsqEHhIBB4HbtZutK9eSeXdd+Dcvk2fqATtAm35MzErUR9UbXLbGCBxJwgdHXNIemgGhuGjA17z5TsLWfvRdyx79WPKd4oBmPaA4nDwxSV3cd3qrzEnJyHJMpf8/DZP54yPeVFvh74F7uXK3ft0jKRtMZi0TkXRLyqyH9CUhJAkkAyger+v3l3zWLJuKxZb84ULv6/aSG6HTFKS/CePpIHHoVprYH9rhXftSFQEoNhQX7oQrnwTKdeVEJS7dMf8/Cc4nr0f5c+5rT9Hqv/SZwBVTRAVHUZVFFLj4wK3rTrU3MhahCRrS/1F+fVibPD3jNZSjJoktOKI0vcQIdQWHeLTC25nyqfPIUkSsslEl1um+bTreOFk6rbsZNdD/9UhSn2p/Gslqqq6++1dLz+bncI9NLRof1ubUdJKEFq04i5/j6nxGWmMueEiUrt0CnqcorJSFm1Ygz2AG15yTjaZvbp5lT+uKy2nZON2v7/p3TrlMrRnX4za0rsB3wOU7yiktqTM519dWUX038dbgaRD+TNjQjxDLzmDsbdcSvaAXj77VUVh14KlfHfjwxSv3RyWmJqLGKdsOie9+pCXoGj/ax+x+4lXUIUA3AtDShJD531A8rD+DXetxZWbmRf+qAQCgUAgEARDiIoEAhdjgHeBPoc3qDYbNS8+R+3rr8TETHpBhGNvkGhMTIRa4d4aVrQJpSYM1AlaiCwTf98TmE8506/DR2XhAVa/+xVrP/6Og6ti351G4Ev5jkJ+vONJTnv1IQCSsjM594P/8OkFt+kcWduSXtDFvVy5O3YduWRt+bMYSIJbN29HsVqR4+KQJAk1Iw9K93i1MRoNDO/Xgz9Xb2r28e0OJz/+tZLTJ47G5M9FT5KQhp+Gaq+Dkl3NO7hX/YfYFu35R0F9Yxrq1GeQe44FQErPxHj/89hvm4q6cVWrji4FKH2mKApVdY2IiuLiPcuqk9QAojLsFrCFySlEiiFnK83fV3VGp0sR4F3+zC4SVa1l4+dzmH31ffzt5Qe87lUN6XLXVRQ+8xbOZpa1jHocDuxFhzB3cpWOHPz8vZgzUtny5OsxIRKOCLzELCKBrxdeQpMGn0N6QRdGXzeVuNSkoMfYsX8vK7duDCjZzujVjZTcbK/PuWLPAcp37PFpK0sSw3r1pXuOf+dKLYV/rWLdJ99jb0y83J7RiorauD+T0rkTo6+fyshrzicxy1dsbq+zsvaDb/jh9sexVVa3aSyC8CAbjRRoXKgKn3mL7Xc9oWNEkUlcfh69nruvoaBIxVU54jagUpfABAKBQCAQBEVMIlzncQAAIABJREFUfRG0d8zAQ8AfaARFjk0bKTvvTGpfeVEIigRhwWfGitmsTyDtGa31tSh/1ibI/QaS+tNS4v52tpegyFJeyYq3PuOd4y/n2W7HMHf6DCEoaucse+1jNn7lcQoZMOUU8kYP1jGiticlN9u9XBXDTkWSSSPajFZ3EA2qzUbdyrWeDSkd/LYb2KMr2RmpLTrHoYoqfvprFUqg2dSyAWnU2ZDTx//+phDtIpHW8MFtKCu/da9KsozpgReQeg9s3XHT/DsVVdVZUBtzhopP9CzbbaQlJfpvV1XawuBagNapKNqdrbTlz6JZVCR5PhM9SrjEIsvfmMVzBcexefZ86soqsdXUUrp1F3PvfcbdxpAQT0KfgiBHiV3WnHaVW0AkG430f/Q2xn7zCrJZuLyGBO1PqxAV6YhG3KV5Zs0bPZgj77giqKBIURRWbdvMiiCCok5D+5Ga19EtKFIUhZJNO/wKihLj4pk4dFSjgiJ7rYU/n/kfK2d+LgRFjeCtqW+be2fO8AGc9d7T3LJjLkdPv9ZLUKSqKtUHiplzxxM8ljiEr6+8VwiKYoiJT93lduZVHQ72PjdT34AijOSRgxj256eM3T6frMnHaXd9CfQE/o4QFAkEAoFAELGIrKmgPTMIeAcYfniDqijUvvkaNc/NAHvDcr0CQRvSILEqm0yI1EB40c6wlUT5s5Ajd+1O8huzkDSCOWtVDX/+5y3+nPE2tvY221vQKLOvvo/8o0aQmJWBJElc8NVLzMg7Wu+w2oyErHT3ciw7FZkTPcl8NUacNSybtpE0dqRrJUCJC1mWOXb0YD6b+yeOFiT/C4sOsWDFeiaOHOS/gdGMNOos1D1rYO3P4GxKPzaGnGdayzePwrC/uVeljA6Ynn4Hx+N3ovzVMuf9QE5FFTWNO1FK8RrRi7WOtJx0/w2ry1oSWsuIJaciL1FRFD/zSZ5kt9ou3cbahsrCA3w4+Rr3eu6oQVz2yzvudcVux7Jttx6h6U7NinVsmHob/d+fgVQ/CaPTKRMY9fGzLL/kHziqRX++NWgFDrIof6YfmlvcYeFP39OPo/epEwK8wIXd4WDRhjUUlfsX/MomI7kjBmKM8zwPO212itdvxepHVNIxPZPR/QYSZwo+4axybxFLX/mQ2uIwCo2jGm35sxD2ZySJ3qdO5Ig7rqDgmLE+u1VV5eCqjfx455PsmPtn6M4riBhko5Fh113oXi/+/EeshQd0jCiCkCS63n0N3e6/Edl3Eu1G4FKgKvyBCQQCgUAgaA7iKVXQHjEAdwLL0AiKnLt3UX7xFGqefkIIigThp2EJmPh4/+0EbYdTlD9rM8zxJL/zpZegaP1nc3ix38n8+uALQlAk8EtN0SF+uvMp93pKbkeOfSR2S6CZNU4kVXtiV1RkiI9zL6vWGOlvae8ftlqoLffbLC05iSOG9G3xaTbt2seSdVuCtpG6DkaaOA2yujXz6FEuEgkBagOBtxSfiPHfL2A485IWHU9Kz/S7vbIpDgLa8lyWGlIT/TsVqVVhFBVpnYpiSlQUxeLGMJZwaa8c98SdXLVoFnEpHmeSg+98iaO8/U6iL/nsBxb1Pg7rviL3ttwzj2fi0s9IG9FKh7f2jrb8mUEM1+qFVtwlGQyMvPr8RgVF1XW1zF+5JKCgyJycROcxQ7wERbaaOg6s3OBXUNS3a3fGDxrWqKCocNFqfn/yNSEoag7ae2cInIqM8XGMuGoK16/7lqmzX/URFCkOBxu/+plnux/Dq8PPFIKiGOaCX9/DqHnW3f3wf3WMJnLImnwcI5d/TcEjtzcUFG0BHgDGIQRFAoFAIBBEBcKpSNDe6AHMBLysDmo/fI+apx5DrW185rBA0BaoDYRsckKCcCoKN9qksCh/FlISHnkGKSnZvT7/gf/y64Mv6BiRIFpYOfNzhl52Jt0nuQZnx999JX89O5PakjAm0sOBLCObPL87VTHsVCSFeCA/IjB4l3RT189DGnWW36b9C7qy+0AJu/YXt+hUKzbtICHOzKBeQURDielIR1zgci1aPw/sogxGo0gGJNlXUCzJMsbrpiN1743jhYfB0YxSWQGciirrGnneMJqRtNdUXRWpSQn+21aHs/yZNsEd5QIWoyfhE93lzzRORaL8Wci5ZsWX5Azr77Vt/5uz2HrTA/oEFEHY9uxnSb8TGbPlZ8ydXGU/k/sWMGHRJ2x7+i0O/rCA2u17qIthkXRbIMSBkYH2c+g0pA9OqzVo+5KKMv5avxpbw5L29SR16kBW725epdTqSssp3rDdyy0ZXA5Vo/oMoEt2p+AxKiprP/6OXb8ubuztCBrgVVmwFd+5xOxMRl8/ldHXTyWpo2+fz1Zdw7LXZ/HzP/+DYouBiRSiImNQTvtwBp2PdM9bpuiDr6ndsE3HiPRHMpvo+fR08q6/qOGuA8CVwLe+rxIIBAKBQBDJiKkvgvaCBFwFrEYjKHIWHaT8qsupfuBfQlAk0Bd7g4RGnHAqCjeqdqa6KH8WMuRuPTBNPN69vuqdL4WgSNAsvr3uAZz1A7Gy0chFP7yhc0ShJ7t/Dy+xTWUMJ+G8xBIxkjyTjJ73pCpOOLAZtXBdwPYThg8gIS74zPNg/LF6E9sKG79GpK6DkY65EjoPCNBAkx1o4NLT7mhw31d+fs7LuchwynmYnnwL0vy7D/lgMCIlp/jd1Wj5M61LkaoSL4PZFKBfEtbyZ5qhg2j/7po1/ewYKX+mNHQ9FbSKk56910tQ5KyuYdMVd7PlmntRbVEsRAshSm0tfxVMouL3pW4Rhmw00vufV3PU/Hc5cfd8jvx5JrLGtUEgiAa0ondTkn+nwMPsPLCXhWtWBBQUZfToSlaf7l6CosrCAxSt3eojKIo3m5kweESjgiJLeRV/PP2mEBS1lFZOcMge2JvJrz/CbbvnM+mBm7wERaqqUrWviG+vf5DHU0bw4+2Px4agqAFCAOlN3vgR9Dv/VPd69eqNbLnxAf0C0hnJaCT7gtMYuexrf4Kij4FBCEGRQCAQCARRiRAVCdoDucBs4DXA7Vtu+eYrSk87Edtv8/WKSyDw4HR622wnBB+8ErQBmkE9STgVhYy4a29ziyXqyir48Y4ndI5IEG2UbNzO70+96V7PHTGQoZf5d4GJVvJGDXYvWyursfkpgxAzaIUsMTIg7XXPOCxEWfsT1Fb4bZ8QH8fEka0rEfPLkjUs27ANpbFkiDkRafhkGHs+JDUQxGg/i2guARUKjA1EXpvmoc6chmr1lOeUB43C/N9ZSD36NX68tAwCTemurGnEOSpOk4BXFNKCJTTDWv4shkRFcdryZ1Gc7JO1gkbhVBRKBmmSg3XbdrNs1JkcfOcLHSOKUGw2Vk2cyrY7H0ex+95Hso87grxzTtIhMIGg5cSleBx2Jcn/vVxVVdZs38LyLRtRAtwTOw7uS2qXHPcxFEXh0OadlG3fQ0PHv7SkZCYNHU1malrQ2A5t3slvj75cfwxBa2mOOKbr+JFcOPtVrl87mxFXnudV5kpVVQ6u2cy7J0xjRuejWfryB20Rrq4E+i4IYODFZ3j9fdaedhXOWH6eD0LGKRMZsfxr+r83g8T+PbW7lgKDgQuAQ7oEJxAIBAKBoNWIrKkg1pkCvAy4syhKWRlVD96H9fvZ+kUlEPjDbncnkqRE4VQUblTt7EKDbwkUQcswjhzrXl7xxqexV7ZKEBZ+e+QlBpx3Mh36FiBJEn976d+s+fDbmJn52WlwX/dyxY5CHSNpe2RDDAkT6vFyX1Lq7yUOK+rK2UhHTG1QZ8FFfk42A3t0ZV0Lk0KqCss2bGPPwRKOHTWY1OTgYmQpuztM+jvqrpWw+Xew1eIlelGEqMgLSzVUl6C+dBZc9iZSZlcApE55mJ75AMcTd6L8+UvAw0np/h2NFEWh2mIJHouXi449cOkzhxWsYXRalWLIZSwGy58pAVwyBC0jPiPVvbz97qewbN2lYzSRz77nZlL04Tf0f/dpUscOw5DsnsvFyPf+j+zjjvCWUGh/QzTLXgl+rVDOq43/46hOJ4rdgepwoDqcKDY75UvXcHD2/Ja/MUG7QjIYGHTB30jO6aDZ6NvO7nCwZNNaDpT6z4vLRgM5IwZi0ohOnHY7xeu3Y62o9Gmfl5XNqL4DMBqCD9Fv+/F3NnzxU/Tfg3VH61TU+N8y/+hRTHrwZgqOGeuzT3Eq7PjlT7697gHKtu0OaZSC6MFW7emPV6/eiG3fQR2j0Yf4gq70euHfZJ40oeEuFXgBuBsQNbkFAoFAIIhyhKhIEKtk4uq0XqjdaP11HlX/uhulqEifqASCIKgOO5JbVJTUSGtByNGWjRDlz0JDfCJSWoZ7dfO38/WLRRDVOK02vrnqX0z77X0ATIkJnPP+08w672adIwsN6QWd3cvVhQd0jCQMtLLkQETiz6kIoLQQdetfSL2P8PuyI4b0pby6hr1FpS0+dVFpBZ/O/YMjhvSlX/cuwWcRSzJS9xHQZSDqlj+9E2XOdl46Kc7jSqCqKjjqhT+2WtTXL0Q961Gk3hOQJAkpPgHTAy9i/+9DKLM/9H+8FP9OA9UWC4ramLuURvBit5GWGqBPWF0e/DihJpZcxmKl/JnGqUhxxsjvaYTgtNow1pepjC/oonM00YGj6BBrTpoGwIilX5I8zFN6M3/a2XqFxd5Pvmfp+bfqdn5BdGBKTGD09VPJ7JXfwEPIu19VY6njz3Wrqaz170JiSkogZ1h/ZI3g3FZbR/G6rTjqfEXFfbp0Y2D3nkH7b06bnRVvf86BFeub85YEAfD6Uwfpz+SOGMhxj99OzxOP8tlnr7Ow+t2v+PGOJ7wEJTGNcCoKiL3a42za3lzP5YR4cq86n/z7bsSU4fX8owLvAU8Ba3UJTiAQCAQCQcgR5c8EschJwBo0giKlpobKf/2TiqunCUGRIHKxeWZKy9rSF4LwoCn9IgmnopBgPGqSe4DUabOx548VOkckiGZ2L1jKypmfu9f7n3MinYb11zGi0JHYwSO+qy1uucAkGpBi0anIqHUqaiDO2fw7arl/oZgsy5wwdiiZqcl+9zcVh1NhwYoNzF6wlPKqmsZfYIxD6j8Jr0SZ2s5FRfHaz8DPdfnFvai/vea1yXTT/RjvnQGJvp+fFO/fOarGYm00FCnOI3hRbXWBnYqqwlw5QNb2jaJcwGKKFacijajI0c6/wyGmaO0W93KXmy/DkCImfDSHsrl/6h2Cm44njtc7hCYjygvpQ1xaCkfe9Xcye+W7NgTon5ZUlDNv5ZKAgqLE7Exyhw/wEhTVlVVwcOUGH0GRLEmM7DOAQQW9gn7udWWV/P7UG0JQ1Eb4K3+W2jWXs957mquXfe4jKLJUVDF3+gweSxzK7Gvubz+CIkFQnFaPQF02tR9RUYezTmTU6m/pOePehoKiecAI4FKEoEggEAgEgpii/fR0BO2BZOD/gGu1G21LF1N59x0ohaLmuCCyUe2apEa8KH8WbkT5s9BjHHOke7l4/TYUexQn7gQRwU//+D/6nn4sCZnpSJLEBV++xHPdj9E7rFZj0ogGbE0RhUQxslepsCgXJtTjNSO1YRkx1QkrvoEJ08BPWQuzycQp40fw5fxF1NQ1LjgJxv6SMj6d+wfD+/ZgWJ/uGJpzLzO2czGzQVP+LJCT0F/vosgGpKP+7k4AGiacgtRzAI5HbkXdvtHTVvb/t3c2es1L3k5F1lqSE/L8tlSrw1xO1MvdJ8pLbWlFRY4YcSoSoqKQ8vPdT3P5b+8hSRJxXXMZ+OUrrD7hspi5b7U1O+5+EkdlFQUPehyCDq7ZRE29M5+XiEKz7KWt8NouBd5Wv12SJWSjEdkgk5CVTno3lwtkVE0WkT3Ca1W4j4WFuLQUjrzz7yRlZ/hvUH+Z7T64n+VbNqAEEBylF3QhtUuO13VZue8gZdv2+IiUzCYT4/oPoUNaetDYynfuZclLH2Ct9C9iErQM7aeh/bwMcWbG/+MqjvrnVZgSvQXdlooq5v/7eRY9906YohREE4Y4z3OEYo/yPnIADKnJ5Px9CumTxpI8fABxeZ38NavGlZP5AL+zNAQCgUAgEEQ7QlQkiBXGA/8Deh7eoNqsVD/zNHUz3xSDf4LowO5JakgJQlQUdrSionZmWdxWGHr2dS8fXLNZx0gEsUJtcSk///M/TH7tYQDSu+Ux8poLWPbqRzpH1joMJk/JRcUW2+I77aCrGiPv1cupyJ/YoqYUdc2PSMNO9fv6pIR4TjlyBF//tgRbKweiFUVl2YZtbCs8wIThA8jpECBJ1gBp5JmokgR7Vrfq/FGLVgQUbAj8j5moW36DqS8gxae6Xtq5G6bnPsLx8mMo331Sfzz/hsD+ZsR7YY5Dqn+tqqpQV4kc4Fg4wvz9SdZcS3VV4T13qDHGiFORVlRkj2JxVASye+FSCv9cSdcjhwOQPnEsySMGUr10jc6RRQ/VDZxVPpx8HRW79obl3AOnnMK5Hz/rWoki8x+tm6PTEZuJ6UjClJTIuFsvCywowlWqd9W2zWzbF3iSYsdBfUjITPN6Tdn2PVTt83VJT01M5oiBQ0iKD+BCWM++pWtZOfMLFHEdhB5NX+xwn6vniUdx6kv/JrNnvldTe52FhY+9ym+PvBTWECORmClb3QYY4z39SjUGRUU5V5xHwRN3YcoMKIR0AC/iKnW2L2yBCQQCgUAgCDui/Jkg2okDngB+QyMosq9fR+nZk6l763UhKBJEDVqnIsnczh0DdEDVzvCOphmtEYzUMce9XLpll46RCGKJ5W/MYu9ij/DhhP/7R8AEfrTgNUgb5e+lMQxmj4BKjZVEidaBqGH5s8MUrkHdvjTgITLTUjj5iOEYQvT5l1fV8PVvS5i7eDVVNXWNv8BgQhp8Moy9ABKDz5yPSbychRoR/hRvR/3v6Si7lrlFQpI5DtMtD2K860mX01CAUiaNVvyL0yQZVRWczsD58HA/46RmuhfD7pIUarzKn0WxGMdLVCScikLNF5f+w2tdjhfPZ82h802Xupf3L18XNkERgKpofmyjqKSY1vnQGSPC60hFNhoZc8NFpORm++6sv3xqa2v5fu5PAQVFksFA3ujBXoIip91B0botfgVFOZlZTBo2slFB0aZv5rH8jVlCUBQGErLSOfN/T3LxnDe9BEWKU2Hl25/zROpIISiqR/u7Kko1epOc19G97Kio1DGSEGMw0Ov5f9PntUeDCYpmA8OAWxGCIoFAIBAIYp7YzloIYp2hwBLgbuqvZdXppOal5ymbcibOLcIVQxBlaAaNpDjhVBR2tH9/oylIQ0FTkVM9A6xl20UJSkGIUFV+vPNJ92pcShKTX31Ix4Baj8PqSRwZYzxp6WUPb43iZL4GyaQRFQUrC7V+Lur+TQF353TI4PixQ0Ka/9xWeICPf1rIorWbsQUrQXlYHJOVj3T0NMjtH7ogogGtMCxQ+TMtigM+ugV1/suomvaG40/HNON9SM/0/7LGjh3vW2IsYOKmUYVSaJFSsjwrlSVhPXeokUyav7O9CaK7SEX2XLcOIUAIOSOvOd+9bCsupWrRKh2jiT7SjhzhXt74xc9hPbfi1Ijsoij5rXUqitUSOpHC4KmnkdGjS8D9ZWVlfPHFF5SUlvrdb0pMoMvYoZg0DtP2OgsHVm7AUuYrKujdOZ8jBgzF6KcU7mGcdgfLXp/Flm/nN/2NCJqPpv90xluPMfTSMzW7VPYtW8sz+RP56op7hLBLg+r0Fi/Lwt3bTefxnvudZWvsTKbr88rD5F1/kXZTJTAL+BaYCZwCTAbWhT04gUAgEAgEuiBERYJoxAjcg0tQNPjwRseO7ZRdeC41z82AYEkTgSBC0ToVEeNJ5YhEmwgWTkWhQSPOqi32PyArELSE3QuWsv7TH9zrw684h7RunXWMqHXYqqrdy/EZqTpG0vZ4lT+LkYSZsWMHz0pdI7NTV3yDWloYcHe33I5MGD4wRJG5UBSVVZt38tGchazdugul3uHGW6yiEagYTEjDJ0PfCSGNI6KRtaKiZoh1Fn+A+vYVqBZPOTC590CMV9wBWX7cDxpDKyp3uER3gUVFYXYqyunhWT6wLbznDjVapyKHVb84WovWqUgkPkNOh76ea16SJWTN/UsQnJTRQzAkJbrXN3zxU1jPr3WAjCZHDcmg/U4L97G2Im/UYHdpQ38cKj3E119/TU1Njd/9iR0yyB0xAFlT/raurJIDKzbgqLN4tZUliRG9+zO4R++g16Klopo/nn6L/cvWNvPdCJpNgM/BVl3Lp1Nu4fVR51Dtx2mq3RNFv6VhRZZJ7e4Zhyj7+Q8dgwkdOVeeT860c7WblgD9gSnAacA04Ac/LxUIBAKBQBDDCFGRINroDSwAHgPc2erad2dSeuapOFat0C0wgaDV2D2ODZJZDFqHG68yPEFmEAqagaaMj60p5XcEgmYw57bHsVW7BvslWebcj57ROaKWU7W/2L2c2KlDkJbRj0Hr6hMDInBzQT7xvTVii92N9EUVJyz5DKoPBWzSt3tnjhk1CFkO7eC9xWbnj9Wb+GLeIkrKK92luwIh9RwHI88GQzvokxhaKCoCKN6K+uIZqAe3uDdJScnIYyYh9ejnlYRRGvuba0ui2FyJyYA5nHCKilKykFIyPOvrF4Tv3G2BUXNNR7OoSPL0s1QhQAg5O39d7F42ZWUw6Ls3MKQk6RhR9NDljivdy4c276B43ZYgrUOPV/mzwEUkIxo13CUu2wnx6akMnnpawP0VNdXMmfszVqv/e0NWnwI69O+JpHnOrdpfTNHazT7iTrPJxFGDh9M9Jy9oTBW797PgsVfCWiKwvZLVp8DLXQpc7kSbv/2VJzNGs/7TOTpFFvkYtRNDVFWImesZefOlyPWCUNXhoPyX6BcVJfbvSe8XH9BuWgpMRJQ3EwgEAoGg3SNERYJoQQKuB1YC4w5vdO7fR9nlF1H9yANgsQR4qUAQHWidiiSzcCoKOw7hVBRyNIOt1srqIA0FguZTWXiAhY+/5l7vPHYIeaMHB3lF5FKycbt7Oa0geh2XmotKeMs3tQVxWkERIE15AkafG6B1PXYL6l+fgMbdpiG98/M4a9JYMlJDn8A+VFHFF/P+YtGiRTgO3/sCKFekTr3gyIsgIbYdtLycigxGOPpqOPJyGDsVRp8PI8+D4WfBkMmQ68dJymFDnTkNZdU3brGWJMvI/YcijTwK6vt1jQm5MHsSXaqlXjQZ0Kmoye+u9eT19JxWUaA4yks7GLWOaVH8DKkRFSlOISoKNX/NeJvi9Vvd62lHjqT/x8/rGFH0kH7cEe7lcJc+gwZleqJTU+QlWhGEBkmWGX7FOZgS/Zear7VY+GPtSqw2P+V5ZZncEQNJzungvi+rikLptt2UbtnpI0hOSUhk0tBRdEjL8D2Whv0rNvDH029irQjcJxSEhgHnnsxVSz8DwFnf/3VYbXx81o18eNrVQiTTCOI3yT8jbrrYvVz28x/YS8p0jKblpE0ay4BZLzDBsZmRK2drnfMqgAsBMUtQIBAIBAIBwopBEA10Ad4ETtRurPvyM6ofeRC1qpEyEwJBtKAZxJBE+bOw41WGR4iKWk+nXK9EaPV+YSEuCD1/Pfs/Rt9wESl5HZEkiTPeeoyXB0/WO6xmU/jXSvdyan4exvg4HJYods8IgrachxQDrnDV836n5s+lJB0xCgDJaEY69Q7USVeirp8H3/8HFD9JCksl6l+fII2/CEz+k1tZ6amcNWkci9dtYe223SGNW1Vh1apV7Ny5kwkTJpAbRKAipWTD+EtRF8+CyoMhjSNi0JSRkgwmpCMvDdpc2TAXvv63744fnkTdswpOne5Ovsid8lCPOgFlxV9IB4L8/Ywmr9I31LkSjE5nALcKY/i+P1KHrp4Vq/9yMFGFpjwrTj/J42hB08/ydmYRhIqXBk/mutXf0HFgLwAyTzya1COGU/mncEgORHzv7hjTPULUcJc+A+/vg2QwkHv2Sah2u0t8p6gQzAlQ+13SCEVURfF1D1JVVIeTQwuXQSichTTnE5WGQs/AKaeQ1ae7332KorBowxrqbFaSG+yTDDJ5owZ7ObU4bXZKNu3AUlbhc6yO6ZmM7T8YUyP36S3f/camr+c2920Imokkyxz3+B2M/4fHQc1gNFL410rePWEatupaHaMTRDMZfQtIK+jiXj/w9qc6RtMyJKOR7g/fSte7rvZs8x4PvQnY2vB1AoFAIBAI2ifRP5IviGUkYCrwApB+eKNSeoiq+6dj/UnY0gpiC9WmdSpqB6VGIgzV5kngi79/6zH2HeBedtps1B4q1zEaQbQRl5ZC39OPJT49FdlowGAyIRsNrn8mEwaTEdlkxFZVw8q3P+Poe68DIHtgb3JHDGD/8vU6v4PmsXvhclRVRZIkJFkmvVc3StZu1jusNsGpFdCaov9RRLXb2Tb5YvIem07WlRe7hSRSYhrSqDNR84eivjzV/4urS1AXf4o07oKAZTeNRgNHDu1Hfk4H5i9bS60ldAIISZKorKxk9uzZDEm2MKZP18CuOOZEpHEXoC76GCoOhCyGiKGueZMUpPzhgY2C1v2AGpcEk65DqheMSQlJyOOOwVRrhZVr/L9O41Kpqio4XJ914JJpYcw4Z3sSJlSVhu+8bYX2+xYj5c+Ew0IboSi8PGQy/yxfSlx96bO8Gy4RoqIgdL3rKve9pGpfEXsXrw57DFrxj2wyMuaztnWYclpt/NzjOCz7WjmJQvt7L1xBQkruiIF0nzQm4P4Nu3dQVn24L6ARd8kSnUcPxqAZH7BWVlO8fitOm28Z3555XRlc0As5yOenOJyseudLXb4b7Y241GTO+XAGvU+d6N6mqioLn3iNX6bP0DEyQSxwxPRr3fc76/4iDkWZSNCUnUm/d/9DxvHjAzX5P+C9MIYkEAgEAoEgwon+kXxBrNIBeBnwqh9hnfsTlffdg3qoRJ+oBIK2xK5JFJpMgdsJ2gRVW0LRJERFrcWCv/pNAAAgAElEQVQwYIh7uXznXh9LeIEgGOfNeo6eJwQc3PLiwKqNVBYeILVLDpIkMfmNR3ltxFltHGFoUWw2nDa7ewZ0Zt+CmBUVaV3hpDA6rbQlqs3G3jsfoOzjL8l74j6SRg/37MzqGviFAGV7URfPQhp9NhgDuxR26dSB844fz6K1m9m4c2+IIvewatN2SkuKOW7MEMyB+iDGOKQxU1AXfxJ7wqItf6D+8R7kD3MJTmRj/f8ml12EJCOl53jal+8Lfry6Slg3B7VgDKTmuAWDas/+kL8aCneC0qBclab0mdbxwhAoMamGwBWjiUjZnutYLQ399Rd25FgRFWmcikQ/q+1QFJa9+jFH3nkFAGkTAwsTBJB5yiT38s75i3R5BrCUh9fN2hBnpvOUU9n27MxWHUf1cioSVkWhIi4thSEXnx5wf0lFOZv37HSvay/ZxCzv8mW1h8oo2bDdx7VKAob27EuPvC4Ew1pVw5KXPqB8R2GT4xe0jLT8PKZ++yodB/Vxb7NbrHzwt6vZ+ctfOkYmiBXyjxnnXi75/EdUu6/QMFIxZqYz9Jf3Sezfs+GuYmA+8DSwONxxCQQCgUAgiGxiYyRfEGucBrwBdDq8QamuovqRB7F8EX1WogJBU1G93BuEqCXsiPJnIcXQq597uXRraMv2CGKfrkcMa3LbnKH9KNu+x72eO3wAHQf3pWjNprYIzQfZaGyVQ0Rqfi5H3H6FqyRHPRkBSjPEBF7lesIniggHtUtWsvW4c8h96G463nqNa2NTkqmHdqP+/j7SmHMhITVgsziziQkjBtI7P5cFKzZQXtWaMlQNk5Uqew4e4sv5iznpiGGkJSf5f5kp3iUsWvQRVMZQWUvViTr3peBtbvrcLSxSdy4J3ja+vnjKjsWQmY/adSiSJGOxWJDTMlHjElELt0Od5jOM04jKnJ7flICiIqfT//a2QFv+7MD28J23rdD286JZVKRBlD9rW1a89albVBSX2xFzbkdsorSvX0yZae7lhKz0IC3bjn3L1rHi7c/oc9oxGExGJIMBSZaQNd99f0I8LyFPA1GP1KBkmkEjwFVVlb2f/tD6wIU4sE0YdvnZmBL9l5q12Gws3bQusPughpqSMko2bPP5nEwGI2P7D6ZjRmbQ11cWHmTJSx9QVyocfNuaTkP6ctH3b5CS19G9rXLvQV4dcRa1RYd0jEwQSyR2ynIvl8+LHqGaZDLR752nGwqKPgauAEQ9QIFAIBAIBAERoiJBJJEKzAD+rt1oW/Qnlf+8E2VfDMyKFQiCoZ3VIspvhR1Vk8CTZCEqai1yj17u5ZKNMZCAFIQXrfDEbkMtLXE5dzidoDhRnQpy125IRldCJ6OHtxvMdau/pnxnITXFZahOBcXpRHU6sVRU8+tDL7B/6dpWhzh46mTO/N+TyEbX70WjLhEN9qvqYQMUX8FA77OOZ9Hjr7Y6xkhENml+X8MpiggjNYuWe1aa6iZTVYy64H8w5GSknN5Bm+Z2yOScY8excvNOVmzajtISMUFDB4T667O8qoYv5y/i+DFD6dwxy88LcQmLRp+HunAmWFsjbIoyUrM9y3sDlDA7TFyyZ7l0N9SUovY+ipoa199Lio+HHv1Qiw9A0X5AgThNwlMjdEmIC9AntFv8b28LOnT2LBduCN952wopVkRFwskkXJRs2OYuUwpgzEwToqIAOGtqket/t5xWfVwbVKeTr6+Y3qbnuGHjD3ToWwBA2aLVWApjzMEvRig4dhzZ/Xv43acoCos2rKbW2vB+6tuvslRUcmjjdp/+fEZyKqP7DSQ5ITFoHAdWbWLFm7P8lkwThJYu44Zx0fevE5/uEerv/n05b0+4yMsJUiBoLbKmlHfdlh06RtJ0zDnZDPjiZVJHD9FufgS4H38/fgKBQCAQCAQahKhIEClMBGYC3Q9vUC0Wqmc8Rd07b4sZW4J2gaopfyaZxM9z2NE6jQRyBRA0GTnbbTbHgZUxkIAUhA9JcpcBA7A9+xCO2bN8mpn/9TSmEyYHPEx69y6kd/ctQdB38jF8e/2DKHY7TrsDxe7A6aj/325HsTtd/9sOr9tx2Byu9vX/V+4rYsJ917sFRa6wG0nuNpzxHqRpzughDLj4DJdQSVXd/x/Gva7i08bzP97rihK8veI5h/c+vM8L7uN5xaFZdy1Tv0/1el1SrmfGsJyYgLlXAUpFFY7i2CltK2tFIM0pUWWrhaWfo+YPRRp4HBgCl0I1GAyM7N+Tnl1yWLBiPftLypoXZJDr1Wpz8P0fyzl21GB6dMnx3yguCYafDn99RHsZf/YSHNvqgreNT/beYK2GdXOoLlHdwgRJlpE65aGmZaCWFiPFaxKSNpfQxWgwEGcOcB3Uhqm8j9GMpC3NVrwrPOdtS7T9PIctcLuIR/M9Fs/LbYo5NdnrPu8Ic3mtqELzd9q7aJWOgbQd3SaMdguKVFVl3V1P6RyRwB/JuR3pf/aJAfdv3LODQ5UVfvZ495GcNjvF631LnuV3zGV4736BHQXr2TpnIRu//Fn8ToeB/KNHcdF3r2Gud9xUVZVV73zJV5f/U+fIoh9RZtUbc3Kid7+gLPL7BaYOGQyZ+y6Jfb2Ell8hBEUCgUAgEAiaiMhaC/QmHngUuA3Nk7t9zSoq/3E7zu3bdAtMIAg7WqciU+BEoqCN0A4SivJnrSMlFcyeMi77l6/XMRhB1KGqVO0rIi0/DwDjKef4FRXZnpyO3KM3cuduru+vqiIlJfu088ffXvp3SENuC059N/YTVCnHHk3/5XMBKJrxCvsfiI33LGlFRUoL3Jh2r0It2Q0jJiOl5wZtmp6SxOQJo9m5r4hFazdTUd1Ux3r/TkWHURSVuUtWI0kSBZ074Q8psytqn/GweWETzxnFyA0em53BnAYkMPspH6eq1GxZCjWgpnd2u5RJ8QlIefneR0jPhvgkktPSkIYf6xbooRHoSXk9wW51bVOcLgGbotQvq6jubU5PG6W+jVq/7HR4/imaZYcdqg6hFm6G6gZlWmr9JWCjDK2ozhnFoiKTR+xlrazWMZDYp9tRI93LqsOBvbhUx2gil7xbLseU4Sl/tvPXRkpFRikTH7jJvWw7VE7pwv9n77zj4yjuNv6dvaY7FatYcu+9YuOCAWObZoyNbcCmGgi9JIS8SQgtlACBAKEkdGJKKMFA6ARM72BssI0b7r1bzZJVr+y8f+zpbk+6Uz3piub7+Ui3O7M3+7u2ZeaZ5/dTDKNRhENYLBx+ydyQCQBmCksPsn7HtrB1lloTvAo3bEP3hJ73+3XtwWH9BtYbg+7TWfnSu+xatLzxgSuaTa/J4zn3/aewpxoibSkl39z1JF/c8o8YR5YkKFFRCHWcYsPM17DmZNH/HzeTNXUiO+/7F7seeKZtgguDNasDw997uragaD7wO5SgSKFQKBQKRSNRoiJFLBkDvAAMrSmQXi/ljz9CxVOPhbqGKBTtAGn6zguV/qztUU5FUcN2zPGBWVueikqV/kzRZJY8+h9OvO9PAGjDRkGnLrB/b+hGHjdVF88OKXLc/QTWo48LrJe89T6+gwexdswhY+a0Vou38Kl/U/TUv43vvaaBMAYzCKyL4Lr/T2jBZV9BEd6iYgZv/bnVYox3subNSR5Rkb2FoiKAimL47iVkv/GIgROhgbScvbvm0bNzR37ZspNl67ZQ1VB6jTrnubp9yVLCZz+u5ARxGL275tWpBxD9JiB3rTHiTWbsztD1ssLI2zrSIjpBVVS5ofwQVJYgc/sZqeQibCtSXKTl5CJSM8Pvp0PHekNutcRYFYdaq+U2xPTuNPc3Gg+YU4Wqwb5Wpc8JRwWWKzduR6oURnXImDiWfvffGFivOljKnh9XxjCi1mHYWdPpc+wRgfUtD/07dsEoIjJo1nFkdA8vivb6vPy0/peIo+jSF5xsVFVSSmVRqLi2V6cuDQqK3GUV/PjEAoo372hS3Irm0XPimDqCos9uepDv7vlXjCNLHmo7dbV3vFWh6XNFrYmJmccfxaDn7sXR1TgO9brtGnb/8/mQft+2wtGrG8Pfm0/q0P7m4luBO9s8GIVCoVAoFAmNEhUpYoENuBG4BdN30LtpI6XX/wHv6lUxC0yhiCk+06CGUKKWtibk5r6BwVtF/VjGTggs71+1AelL4AE7RUz46ckFTLzxcpxZHRBC4PjTX6m+9pIGn1d9701Y3v4+4ADi2bqNA3feD0DWJeeRfdmv0FKdoFmMjj+LFnzULGCxICya/7FxxwHPvgMUPfkcnm0tHzTwFhRi7ZgDgK+qGlntMca+a4sOhP+f/1EEyszbipBx84BwIWTj2m2Zi8Pts1ZBo8rqpyYuYUme816LnYpqkDps+gG5Zz2MPAnRsVe9m2uaxvD+vRjYqyvL1m1h1abt9Uwqru1UFH4rXZd8umQFJx91ON3ycsI0o8GQKbD0rYZeTWLjqOU8VJ9bT+3UZybKK6uMBd0L+9eDMxOZnmuIi8Jce7hcrjplsURKaaTpSyaakqIw3vBUBRZdORHEZ4qo0G/q0YHlshUqrW9ttDQXI95/OnBO93k8vHvpzfiSTHyV3jWP6Y/eGlivzi9iw91PxjAiRTiyB/Sm39SJEetXbtlIeVXkNKY+kyuR9IVeIGW40hjVf3C9+z+05wBLHnuZysIkF1zHCd3Gj+TcD+aHCIo+vvZefnjwuRhHllyYxcsNpv1uD9QSWdX0HQibjd53/h89rr0spN7icmJJT8Vb3HaOn1qqiy6XnUWP6y7HHnof9zDw1zYLRKFQKBQKRdKgREWKtmYwhjvRuJoCqetUPv8sZQ/9HaqrIz9ToUh2zCN/6ia9zQlxikqiwe1YYOnaI7BctHF7DCNRJCruQ+UseeQlJt/6GwAsY46CDllQ0kDnfEkxviXfYp0wCYCsS86n4B9Poh8qo/iZlyh+5qWmBaJpdYRGwmpFS0v1pxfS8e47ECoKbQHuTVsCoqL9//2Q1RdcF5V245VuF89l2DN3ASBrW8gnMFo0nIrMVBTDD68guw1DDDu+rmtOLew2GxNGDKJ/jy58tXQNhSVhnGXqXGdEfv91XfLZkpXMPeEoXCmOOvWi0wBkTi8oTOLjvT0o7pFSgl5PyqyU9LDFXq+P6lrpU6g8aPxl94TU7OA+ivcB4CrPRO5e7/+8gu5m0lMNezYYadk0zRBDCy24bF4XFtA0v5NaTbn/0WIx2rBYgs/T/GXONLDYQgeOElmAY8b89U9kp6JD+6CTMbjd05SeSxFdrCkpdBwcTBdS/Ek7SPnYREZ9/QqW1OBx8u0LrmftGx/FMKLoY7HbOPeD+bg6ZgXK7DmZTC/+Ed3rQ3q9SP+j7vUhPca67vGgu71Gva4jfT7DCcenI326v8yL9Om4enULtC001R/QHKwpDkZfdHrE7pQ9Bfls27en/kbMl0SmhjQhGDd4GJZ6XI13/bCCVQv+h686gVNrJhB5IwYxb+F8HOmG+FtKySd/uk8JilqBZLpXixZSyuB1skXDOaA3g196kPQxw8Nu31aiIs2ZYoiJrr8Ce6c6zqa3+//UB6pQKBQKhaLJKFGRoq3QgKuBe4GUmkLfrl2U3ngtniU/xCwwhSJuUGkLYotPORVFC9ExmCandOfeerZUKCKz+OEXOfKPF2FPdSE0Dccf76D61t82+Lzq+2/B8t8vEUJg6ZBB1sXzKPznU80LQtdB15F+HUDNUdpX1Dozj6s3bsE1wdBdpw7p1yr7iCvMblBJ5GimpZucanxRdGnYvQZ5YAsMOw7RPXxntZmOmRmcduwRrNy4naVrN+Mzz6htgqgIoMrtYcnqjUwZG2G/Q4+Fb55vsJ2EJUTI1cBrdIR3Kgq4FIXDGhRryUOFUGwMeKaWZsDOMLfs+7bAd6/VH0ctmvXJZOQix52COPxkSMtGfrOgOa3EIabvvy9xJ7XI7T8h+k8BjIFVe5oLd1mSOUnFAacveADNdL4a+NRdDHjs9sB6SOq5mmUZ+Be63CC1nQTr1guLFki1CqLW4Tz8sT0YojSFIkPDCjfBpba7oanNmgdhDxUf/vTEAla/8n644BOaficdQ+fDQh1qhKZhy8xolf1ZnSkNb6Sow/CzZ+DM7hC2rspdzbJNjXEaMzuymNru058OqZHdCNf890O2fraosaEqWkhmn+6c99HTOLMNpz4pJZ/f/A8WPfBsjCNLUmr3V2paHbee9kzni+bS7erzQwS23mo3FtM50pIR+fgRFSwWulxyBj1vuRpHlzqpq6uA3wDqB6JQKBQKhaLZKFGRoi3oCTwHHGcurHzjNcruugNZXhabqBSKeEZNTGxzpMc0oK1ERS1COIODrxUFyvZd0TwqC4tZ+tSrHPmHiwCwTDweUpxQT7oCAPL3oa/5Gcvw0QDk/OZSiua/gKxo4HlxgHvT1sBySo/OMYykbRC24LFWJlGntGbqTMYd5e+dpxJ+fh+5YwUMPR6RWf/3RNM0Rg3qQ++ueXyy+GeKS8uNitqiokaMd2/YsYdh/XqQm1V3sE6k5yFz+0D+lsa+ksTCJPpp0K0nQvqz8sp6xCsWW3DZE9wu1VnXGQqAqja6fyrNh8+eQ36WXDP+Q9yXvIkrKmLzV8gp1yAsdjSLxskP38I7F98Y66iSit7HTWDw7ONDyoTVgrAm1r1CW91a7l22hg9/f3cb7a1t2fPTaiqLS3CGOQe2BvbU+Ep/mQh0OXwY3SccFrF+2ca1uGs7BoYhxJHFf77okduJ/t16RnzOmtcWsvVzNVmyrXB1zOL8j58l3S+ckFLy3X1P861KR9hq1L5X0zQNPYnu31pKz+uvCFkvWLORBZPO4+r8RYHjiGa3hXtqVOg4Zxq97/w9roF9aldVAo8BDwEN2LQpFAqFQqFQ1I8SFSlaEwGcDzwCBKZv6QX5lN5yI+7PP41ZYApFPCI9QYtsYbPXs6WiVfCaOhhV+rOWYQ8OglYfKo9hIIpEZ9EDzzL+6nlY7HaExYL9/27FfU/DA6ZV9/0Z1/PvI4TAmtuRzHlnUDz/hTaIuGVUbwwKMmxtNGgVS7QQp6Lk6ZQW5rQYrZUuqmgXfPs8sttQxODJ4KzfKSEzPZXZk8fz+Y+r2LGvgOYOMX+/Yh2zpxwRvrL34UksKjINAjTkLOkIn/6soqoe8Ypmui03i4pSIjhVVJTWH4MiMrXT03kTOEVNVSn88iGMmAXA8HNm8N7lt6CbUvoqWsa0h24KFaEpIlJZdJD/nvG7pE37VLb3AA/1mEK38SOxOuxYU+xYUxxYHMajNcWBxWbFYreh+R8tNpvx6C8TmoawaGgWC0ITCIsFzaL5yy30m3o0Nr9DUUVBUYxfcWLh6JDOyPNmRazfsmcX+4oKm9V2hiuV0QOGRKzfu3ytEhS1Ifb0VOYtfJrs/r0CZT8/+waf3XB/DKNKfmSt61/NalXXG2GQus7ie+fzzU0PGgWmawjZCve7HSaNo+99N5A+dkTtqirgKYyMEco+XKFQKBQKRVRQoiJFa5GLcfF6mrmw6uMPOXTrTchi1UGiUNTB5KIhUiLMTFe0Hl6V/ixaCFtw8FWl4VC0hEN7DvDzv99izOVnAWA9YSbu+28J/b2GY/tm9I1rsQwcCkD2FRdS/MxLcW/R7t60ObAsbFa0NBd6Mv+GLMnpVBQiTG0tUVENu39B7l0PfcYhBkwIddSphd1m46QjR7NkzUZW7CgIhtiEGPcXlbB51176de9Sp07k9kE6M6AyCQUv5ve1oe9qbdGKn8jpz0Soc1Q8ORUlI65aArxEdioC5M//RfhFRdYUB7/64gWeO+bcGEeVPFQfCv2t/Wf6ZYAhHhXC+O0aj9RaNz9i/MYbmepahklJZh7M9VZV46t2I3XdqJbSqDc9GkGGxiK0uvEJfxo1c5nRrpEaLaRdapo1p2gT2JwOrM4UdnzzE6W79jX6vU1EPOUVbPui9cQjv9v6GZm9uwMghJrk0hRGXXg6Nld4IW5ZZQWrtm5sdFvmn6CmaYwdNAyrJXz/QFVJGStfercpoSpagMVh5+y3H6erKR3vxoVf8+6lf45hVO2DEAcvAE0JbpEy5Bq+qriE1064kP3Lfom8fZToMHk8Pa6/guypx9Su0oHngVuA3VHboUKhUCgUCgVKVKRoHWYB84FAAl/9UClld95G1TtvxS4qhSLOkaaUPsKuREVtjawODioJqzo9tghL8P1ToiJFS/nuvqcZfclcY1a3zYbtyuvwPNpwag33w3eR8shLCCFw9OtD2knHUbYwvl0S3dt2Ir1ehNWKEILsKeMp+N+XsQ6r1TCnP2t18U0bIswDT20hltJ9sPkH5K7VMOJEROeBkWMTgiOGD6RDpx58s+OQUdjE/u3l67aGFRWBgLz+sH1Z0xpMBMzpyRr4roqmpj+zO8Om4xJC4HREcK5UTkXNx1or9YSe4LPsi3cg136IGDINgJ4TxzD73/fwzoU3xDiw5GD1y/+j59FjAusdenRh6b9ejWFEimQmiuPN7Yo+x00gd0jfsHW6rvPjujX4mnQ9Fvwgxo4ejW1jeLGclPDzc2/gKVf3u22BsFiY+8pD9DluQqBs7/JfeNkv9lS0LgOmTwpZ1xIsDWhrUL6/kLQuuUgp2brwG96afVX97k1ROMinTxhF33uuo8PEseGq3wP+BKxv8Y4UCoVCoVAowqCmviiiSQbwLPAOJkGR+/tvKZo5TQmKFIoGkBWmzihb6+XaVoRHlpnSdClRV8swfX+rDqqBT0XLKN68gzWvfhBYt806q1HP01f9hCzYH1jPvuxXUY8t6ng8uLftDKxmmQYykxHNJOCUXl8MI4kyJmElsg1fV3UZ/PQW8qe3oLr+Aa7B/XozaVLN4EDTOriLSss4UHQwfGVunya1lTBYTeIevYHP1BFBVFQVwanInhpYlF53oH2nw46mRbhdV05FzUerJRxPglF8+eU/kEXbA+uHXXAqs56+K4YRJQ8/Pv4yFYXB493x9/wRTd2nKdoC5QLSKNK65DHk9KkR69ft3EpxWRPvR/2nha5duzJs6LCIm61982MK1iVp2td4QwhmPf1XBp96QqCoaPMO/jV2TgyDah+kZGYwZ8GDIdcVUko1eQx4bvgpLP3nC7x2woW8MeOyBtPB1U4h1xQyTziK0YveYPS3r4UTFC0GJmBM8laCIoVCoVAoFK2GEhUposUUYCVwUU2BrKri0J23cfDi89H37olZYApFoiBNg03Crjqr2xq9LDhAJ1LCW6crGkY7bIyRSsGP6mhVRINv//avwLJwpGCZdlo9Wwfx/Gd+YDnt2Ik4hg2OemzRxr0p+JtJOyz+420JIec6X/KIioTNJFpoSIDSGuzbgPxyPnLvhsjbaBqDBw/mqKOOatYudu4vDFsucnqCSMKZyyHpz+oZMLA6Ql2NTERMf2Z3Bpc97sBian3XIpWHItcp6qe2UCsZXNI8lch3r0OWG79LIQSjL5nLvA+fwZ7minFwic8LJ1wYWHZmdaDrmMgiA4WiRSSByLEtERYLoy+eE9ExpbD0IOt3bGtGyxK73c6UKVMiinv3rVjPlk++a0bbiuYw9f7rGXXh6YH1sn35PDF8Ztyntk50ek0ax5Ur32X42TMCZVJKvr/jMfXeA1VFB/n8/+5ix+eNTIvZjGN89inHctgX/2Hkh/8mfdyI2tVfACcCR2IIixQKhUKhUChaFSUqUkSDK4DPgV41BZ6VP1N02gwqX3pedYwoFI1EVgbTn4W4HCjaBFlWa4DOHiHliCIy9hRSH3gqsFq6ax8V+UUxDEiRLBRt2h4y80/Lyatn6yDet14KSS2Zc3X82+O7NwZFRa7+PWMYSetjTjUpfcnTMR1zURGApwqWvoXcEGnAy7gNHD58OJ3ycpvc/K79BeErLDbI7tbk9uIeWyNFRRFSn0E96c/MgiVPUHiU6ozgmqj7wF0Zvk7RMFqtwedkuVct3Yd86w/IsuBvs/9JE7n+4E9c+NVL9Dj68BgGl1wooZaiLQhJi6kIy6BZx9GhR+ewdV6fl5/W/9LUDK+AoTWdOHEiaWlpEOZzqC4tZ+WL7zSjZUVzOObPV3HkHwLzV6k6WMpjQ6bjjeQAqYgKaZ1zmbdwPh16BFMeVx0s5eWjz+H7vzwSw8gSmCZcc6aOGMSwt59k+NtP0eGYcbWrvwGmAccBn9LkZNYKhUKhUCgUzUOJihTR4AYgcKdd9s8HKD57Dr4tm2MYkkKReMjKoH2weaBV0TboJbVs0R3KragpWI89iYxPlqBlZAbKvlSdTYooMf7q8wKpsqSUeD5qfEpVz8I3Assd5szE2qVT1OOLJtUmpyJHp44xjKT1CZlZnkRORZrJYUZ6YjzgseFb5LJ3wVdLCGMaIzvqyCOb3OyB4hLcHk/4yuzuTW4v7jELf2q/l2ZSMsIWSympqIokKjI5G3kb4VRUqVKftYg66c+SR9BI0TbkG9cgS/YGijSLhV6TxnHRNy9z7f7vOfPNRxl10ekh6ScVkTn6uku5/MfXA+sVBcXsWrwihhEpkpmWpMZpb2QP6E2/qRMj1q/cspHyquYJcHt1707//v2NlTCiop+ffwu3OXW6otUYe+U5HPfX/wusu8sreWzYDJVivQ2wp7mwuZwhZY/lHsmeRctjFFFiYHWm0G/mcUy651pOfOL2UIFoI47x9m6dGPD4HRy+9B1yTjmudvW3wHhgEvBR9KJWKBQKhUKhaByqJ0kRDVYBvQH0wgIqHleDyApFc5DVpsGmCDbbitZDLw91KhI2m5ru0xB2O44Lr8I+dx5aZnZI1ZrXFrL8mdcjPFGhaDwdenZl8l+uDqzrW9ZDwYFGP9/z2L3YZp2NsFgRNhtZF5xN/r3/bI1Qo4I5/Zklyd0QQpyKvEkkKko1fW7uisgbthV71iKrKxDj5wadEE3CityOOfTpmsfWPY3/XUkJe/KL6d01jGtYRnjXgERGmJ2KfBHEVACO8E5FlVXuyIPFwnRL7pY2I+AAACAASURBVAleC0ZyKpKVaiCtRTiCA2RS95J0k7tLdiNfuwImXApDpyEshvOmEILUvByGnHYiQ047kVnP3I3P7aGy6CClu/ZTtGk7e35azepX3qesCceCZKX3cRM48/VHcGaFCgW/vO1h3IeUmEChiCVWZwqjLzo9nN4HgL2F+Wzbt6dZbTvtDsYfFnR2q+0Yte2rH8lfs7FZbSuaxvCzZzD9sVsD6163m/nj5qhzVBtRtGk7y595ndGXzA2UDTn3FNa88HYMo4pfckcO4sibf03/2cdhieB6Xp+myN6tE93/cDFdf30emq1OKuXPgT9jpDhLsgtXhUKhUCgUiYQSFSmiwT+BmQAiowPC5UJWxMEAikKRaJhzkiu787an9nHLWudGXmHCdvo5OK+9Layr1rL5r7Hwmr/GICpFMjLt4Zux+0UaUtep+vPVDTyjFh43vmU/YB1nzGbO/NU55D/wGHjrcRuJIe4t2wLLQtNI6dmFqh17Iz8hgTGnCZOxShPWCmgpJjGIO05SMxRuRy592xAWQah4Wdfp1SW3SaIigPzikrCiItGhU/L1djfWzSaCqKi8MtL3QIRe85mcrVwpEdKfKaeilmEzOUDV5zqVyFSWIL94AH54BjlkGmLYKYisHiGbCCGwOuykd8kjvUse3caNYMQ5pzD1/uvxVlVTsG4L6976hCWPvNTuHCGm3H4Nk275dYiYQPd6+fja+/jx8ZdjGJlCoQBDbOLM7hC2rspdzdKNa5vd9piBQ7GbBvTNx4Gy/YX88royB2kL+p88iVNfuBfhv17VvT7+Pek8CtYqR/y2ZOE1f6XP8RPI7G24kA6/8DQlKqpF57EjGH/9pQw8fWrg+xqJLpedhe9QGfZOudi75mHP64g1Mx1rdgdsOVnhnrIeuBl4E0gia02FQqFQKBSJihIVKaLBl0AVkCJsNrQePfGtXxfjkBSKBCSJUr8kJG536LoSFUUk5cY7sZ96dp2Zm/tWrOPzmx5k4wdfxSgyRbKRkpnB4NnHB9a9n/4P9u5scjvVj9yN5fn3EUJg69KJ9KnHcuiDT6IZatTw7juAXlaOlpYKQNak8ex96Z0YR9U6iCRNf4ZZbBlPYqkDm5H7NiI6DwhNASV1ujcj1V5hyaHwFSnpYHOCp3lpR+IR6fMGM8bZIoh9AFIiiIqqIoiK7M7Qc6nHnP4skqgowvuuaByNdZ1KBioPwrJXkMteRXYfheh1BHQZBp2GIizhu4KEENicKXQZPZQuo4cy5fZrKN6yk4//eC/r3/m0jV9A25OSmcGkm0MFRVs+/Z7PbnqQPT+uimFkivaG0NQko3D0OOpwuh8xMmL9so1rI6dnbYD+3XqQl5Ud1k5E6pLlz7yO3sy2FY2nx9FjOPP1h7H4xV1S13l55pXsVqkn2xxPRSWluw8EREWe8jiZLBFrhKDPSccw4uI5DDpjWrgtyjDSk80xF3b/3YWN3cMO4H7gSUAddBQKhUKhUMQNSlSkiAY+IB/oAaB1yCSOhk8UisRBRtmpyGqk+sFmRzjsYLMhwgllpPR3nEnQLAiXE+FyIZwuRKoLYXeApiE0Dan7kGXloR1tVot/21Q0lxMsVqq//grvusQTF0opA4MIwmpNPqeFKOC48KoQQZHu9bLu7U/56YkFbP38hxhHp0g2qkvLqC4tw5FhDNTr65s5oLd9M/LAXkSnrgBk/ursuBUVAbi3bidlxFAAMsYObxeiIulLnsmXIQOB8SQqAti5EjoPAM0k6JI6rhQHmempHGxCWp+C+txLOuRBwfa65ZoVOvYCpOHQKHXjPZK6f90XWm51wPATEem5oe3UXCfpOnirkJ4qI3WYuxK8VeB1G8/X/e3pXtO6z1j3ees+uivDi6FK84PL9tTIrzslPWxxeWV12HLsQRGS9LiN1+8n1ZkS7hlQpURFLcLsVKS3l3EaCbuWI3ctN1atKcjMbpDZHTJ7IDp0hcxukNMPUes7LIQgu19PznrrUbZ+toj/nHwZepw6/UWDsVedE3IMf23Ob1n75scxjEjRrqgvN46CtC55DD9nRsT6LXt2sa+osFltZ7jSGNa7f8T69e99TsmO5qVUUzSeTiMHce7/nsTmMlKVSil561c3sPnDr2McWfuly+FDA8sb34rf++e2ouexEzj2oRvJO2xwuOo1wC3Ae4AXYxL25CY0vw14AngYY/K2QqFQKBQKRVyhREWKaBH0+NSTZ1BIkYBYrcafEMYMXJvVePSXi8CjDWoGM4XwC3DsQSGO1WakZakR4gQEOjZ/vakNqw1hsQT34V8WVitYrIboxmqDmnJNM5YtlkCMWKzYhg4Lvg5NI+e11/0Cn1SEy2W0L3XwGQNvUvcZy0Ig7PZAbIaAyN6g9W5rov/u/zgwYTzyUAIPfIVJ69XeEd164Ljy9wFBUdn+Al47/bfs/H5ZjCNTxBvDz57B0Tdcjs2VgtQlUtdNf7LeZTP2NBdWZ9BVwnLEJLyvv9CsmDxvvoTjqusASDt+MtbuXfHuis/BAfeWoKgobfiAGEfTeghTeol4TUfXLCwmwU68iYoKdhjXEsJ0jeAXNXfMTG+SqKiiyk1FVXX4NF2pOXVFRanZiCteRKSGtfdvEdH0c5C6D9wVUF0OEuNazvw51jfo64gkKorkVGQSuHhDhUepTpX+rFWwm52Kkui40xS8VVCw2fgDk4heILN7QbfDED3HQY8xCLuRflQIQd8TjuLXa97n0UEnxSTstiB3aKiowOdpp98RhSLO0KxWxlx2BhZb+Hv0QxXlrNq6sXltC8HYQUOxhOs/EVC8ZRebPvymWW0rGk9Wv56c99EzpGRmAIag6OM/3MOqJJ1ckRAIEXLdmzWwd+xiiTE2l5OpT93B0PNmhateDtwBvEtomrKzgY+B4UAF8BOwE9gH7PE/FgGlwFb/ukKhUCgUCkXcokZMFdEi0CMuq5WYPlGx9OiJdeQo0IQhSBEaWPyPmvEnLBZDvGJ3BAU2dpshyDELbiwWYxa8xeJf9rdhsQRFNZoFLJpf9GMBizW4bQ1SGjeyZhFOzbb+RyyWgFgIrxcERnwJjBAC+/jxsQ6j2WipqVh69ca7OrHSBJhTHchIqUraMa7b/h4Qq7nLK/jPtEvZ9/PaGEeliCc0m41OIwcxZ8GDrdK+yO3c7Od6X3sO+2W/R/iFoJnnzqXgvoejGF30cG/ZGlh29uoWw0haFy1ZnYrMaYX0OBuQ9rmRhwpCU275Bws6ZmawaWfT+rIPHioPLypKy65bNnJaqwiKoo3QLIbjUATXoRBnydrPjZD+rKIqglOR1fTeSQkWG0gdu8WCzWqDcJ6JlfU4RCkaxuxU5HNH3q5dIqFoGxRtQ656Byx2ZN+jEUddgejQBYCcgb05+50neGX2VbENtZX45u4nGXHuKYHr3XPefYItny3if1fcSvHmHTGOTqFovww+7UTSu+aFrfPpOj+t/wVfMyc4Du3dj8y04DlfmkQUUpcsf/Z15SLVyqR3zeP8T54jrbPhTCml5Nt7/sUP//h3bANr70jJxg++YuhcI8XX4decz5L7nqaq6GCMA2tbBp1xMhP/+juyB/apXfUO8ALwNqFiohr2AZHzNSoUCoVCoVAkGEpUpIgWgRETYbfHMg5FM7GOOpzsV9+MdRgtx+wOoKiDDNMZFiKkqamXEnw60ucFnw+kNPRdmqjr4CMleL1ItwctKzN0oFKRPKSlYTlsTGD127ufUoIiRQjO7EyuXPkuGd06tUr70ufDs+Dp5jeg6/iWLsJ6xCQAMmadHMeioqDDiz0vjDgjSRDx7OjTAoTFJI6ORyeUkv1h06x29M8Mb1JTZeV0zQ3zHU2tWya6DglZN1+TNObaQRZuD3XzkRgCdasNLHZDkGOxGinWNIv/NYpajwTXm7DvkDi2/xS+QljA7+pSm4jpz0wCF+HKgF4jAEjNzERMOM1wb6tJCedPCyf6jjHeB68bPG7YvBT56dNqwLOx2ExCrngT/cUbPjds/AK5fQnMugfR1RgXGzjzWEZddDo/P5cE9461KFi7mS//8ghTbr8mcGzoe/yRXLXqPf53+a2sVI4ZCkWbkzOoL32PnxCxfvXWTRSXNU9w27FDJgO69YxYX11aRkVBcbPaVjSOlKwOnPfRM2T16R4oW/7M63x+U+tMUlE0je/vfzYgKrI5U7ho9Xu8OHYOZXsOxDiy1iezfy+mPnk7vY4/snbVcuByDOchhUKhUCgUinaDEhUposUeoBOAdeQoPEvVdXWi4ZiavDb2ZkJENbWXa/5qUvBI3XBO0HXw+Ywyn89Y9voCghvp80HNuldHej1GuceL9HrB40F6vYE/vP623G6kxwteD7rbjdAs2Ab0w9q9K55tO9CLitBLy9APHcJXfBBZWWUMwFq0QFq3mgFZvbICWVmFXlGBXlGFrKxAL69AVlSgl5UjK8rRyypaPb1Mv/1bww5UJgpSysAAgrBawvkDtFsc514SeG/cZeUsfuTFGEekiDcGTJ8cVlDkfnsBFB4IOtZplgjLfjc886HZXYW+dSNy/Rr0LetbnGLV8+qzAVFRyrDB2Hr1wLN9Z4vabA3cW7YFli1p4UUKyYBIUqei0PRncShaKKntRmT86LLSU5veVFlF2HKRmlX3HNppYGBRX/Qf+PLx0Ag0vyDIagXNLBDSoHh3k2NrLPKwmWjTbzCW3RXIN6430re5ssCRCikZxrFK6rBvLaz5OHxDjsjvX8T0ZyJ8qtrU1FR/tQZoYNbMp9TaT7/DkTtWwfofwu8jtxfk9vRf5+r+P9N1b50yPcKjNMR/UhpCp5D1oOgJXQeHEzI7g6faSCNX7U8nV11Zr9NTm2BT6c+ajLsc+f4tcOaTiA5dEEIw/dFb+fn5t5My9fnXdz7OgdUbOeWpO0j1iyZtzhROe/E+UvOyWfTgczGOUNEeUBN1DCwOO4ddMDti/Z6CfDbvad61vM1iZezAYfW+195IToOKqGBLdTHvg3+RNzx4jbju7U9477KbYxiVwszuxSv48fGXGffrcwFI65LHFdu/ZM0Lb/Ppb+/EW1EZ4whbh47DB3LudwtwZIS4kEpgPvBbQNldKhQKhUKhaHcoUZEiWnwGjAZI/e3v8fy8DO/yZTEOSdEUtJyOgWXp9aJXVAYGEKRJbIPU/eIYn+FO4/UhvR5DQOPxIN2GgCYgtvH5t9d1v5imRoBjer7HHXy+x++MA6CZHHTc/rY9/j+3G1ntf/S40T1esuadQYdZJwPgPZDPrumnoVdWQVUVelU1uNU9n6IJWG2xjiCusJ0wPbC8ceE3uA+VxzAaRTxicYT+ZqTHg2/5D3ge+ktsAgqDvnQR0l0dSJGZPmMqRY8/E+Oo6lK9cUtgWWgaqUP6Ub52cwwjaiVM6U6lL4mciqxx7sB0qACzU0+N+seZ4sBus+L2NF5ocTDSucDpF+KYX785Jdq+9XWfo3uNv7bWeZjT1XndsGN589qJkPoMIjkVRR7ErBEVNRpnh/Dl/cchLnskkMopHpC6L6KYyhD8y6DwP7CO/7G2+Ek3iZt0415FYHKjEsbzPNXgrjRSx3UJDlzi87TeC002Kg8iP7kbMfcRAGwuJ8ff/Qc+u+H+GAfWOqx76xPWvfUJJ9z3J47648WB39DUB26gPL+IlS8qxyJF9AmZABVHx+1YMvjUE3DlZIatq6yuYtnGX5rd9qj+g3ClpDS8oaJVsNhtnPXmI3SfMCpQtuPbpbx62tUxjEoRjg9/dxeZvbsxYPpkwEhhPeLiOQyZN5M3Z17J9k++i3GE0aXvjCkc99CNtQVF/wNuANbEJiqFQqFQKBSK2KNERYpo8SBwKZCppaaS/cqb+HbtQj9Uajik7NuHZ+mPVL39BrJcDUTHI1pObmC55N2F7L7kmhhG0zxS+vcNiIrQdbxx6D6R9JhTmSR6KkTVkRuCZrKF3/De5zGMRBErBsyYwuBTT0CzGZePQgTTCQkhyO4f/I7I0oNUzDwiJnE2hL5+NZYRRiq/9OknxqWoyJdfgDe/AGuuIfjtOH1yUoqKQtKEJZHbhTCnCY1HsVRZUURXwQ5pLvKLG59CJJJTEQhDWFRuShliMQkP3XF0P6CZPq+WiMBszrDFXq8PTzinSEdawB1BSol3xTLjc9Es2NwVVEs3wmoDq9X4TlmtYLHi+f5rLN17YT95ZjCFoC+8cF4MGBdXgiIAodWTqritnTmUqKhp7FmJ3PglYsAUAA6/ZG7Siopq+PS6v7Ppw28478OnsdiMY9jM+X8lf80m9i5T44qKKKPSWIaQ1bcHvaeEv5+QUrJ0w1rczXRi7p7biR55nVsSnqIFCE3jtJfup9/UiYGyA6s38Nwx58YwKkUkdK+XBbOu4pibrmTSzVdi8ff1WR125n7wLxZMOo89i5opyo8jXHk5nPLyA+HSnV0NPA7KzFyhUCgUCkX7RomKFNFiL3A28B5gA7B07x7q1D9jJs7zL6T4nDnIYpWTPN7QOgadiry7a6fFSAz0suAAlVAzzmKDrgfSvoi0pqdRiSuSaIC7pWgDhyJswcHgbV8uiWE0iliQ0b0z57z7RNwNTjcHz3uvBURFrgljseRk4yssinFUdan+ZT3Wyca5OfOo0Wx/IMYBtQYmR8JkOeZacrKx9+4RLDjYemm7mk11Wa0UVMH+8aaKiiKm9QKwu4KiIkcawmoSG3vjyD3SLHaSLRAVRRDLeCMJy0zp0qS72iRA8+KorkYWFiIBS7/+WAYNRdjsYLFgHTGqbqoWbwRxjMk9SUoJHjcQFIQaZkk1y6Y2a7dfj9gnUtqYgNOpEPGbxqcy/o798Y5c8UZAVOTMySSzTw8Obk3uiRzbPv+B54+9gIu+/g9C07A67Mx65i7mj5uL3sqppRXtl7g9brYRQtMYMW9WxNPP1r27OXCwecdwp93BqH6DItYXb9lJt3EjAnEoos8pT97OsDOmBdYPbt/NE4dFTnOniD3S5+PrOx9j1cvvccyNVzD6krkAaFYrZ33xAs8Mmkbp9ji872kkfU6exMnP3k1q59zaVQ8Bj8UgJIVCoVAoFIq4Q4mKFNHkI2Aa8CgwJNwG1j59Sb/xFkqv+0ObBqZoGHP6M/eOxOwY9pUeCiwnvEtOgiJ9voD4pCa9UMKiZooGsE4IziAs3b2f0p17YxiNIhZk9u7WpE51fU/8nkd8n7yLvP5uhMWCsFhIO+k4Sl5+PdZh1aFq7QZSJx8NQNqw/jGOpnUwO5ZIPTmOuY6+PQNORVJK+OWLGEcUHumpDpt8KyPV1aR2vD4dr9eH1RpGUONIBQRi3kOIvuND6yI468SEaDkV1ZPOLCxmZ6Oq0PRo+aVBYZd11NiGB5cPhpkQ4HAhjpobWNV3bKXk1BObFmNj8bsoYat5tEFBfrA+xYWWm0vqXx/ANnJ0MKZvn4DN3/jbcBjvidAMgZbQDNdIYTGt1zxajWXNYiwLi7FfoQUFczWp0YQGdhfCnmqkiXNlgSMd3BXIH55tnfcjmdmzCllRhHBlI4Rg+NnT+fZvT8U6qlZn53fL+PhP93HSAzcA0HnUEMZfPY8f/vF8jCNTJBMht5/tXFTU+9gjyOiWF7auoqqKVVs3NrvtMQOHYreFT3Vetr+Qg9v3MPwsI/W30Nr359AaHP+3P3L4ZWcG1svzi3hs6IykmWCQ7BRv3sG7l/6ZPUvXMOPx2wDDsejiX97n2aEzEk5YJDSNyfdey7hrL6ldtRD4OxCfN3MKhUKhUCgUMUCJihTR5nNgGNAX6AekA2nAacBsAMfMU3GuWY37+2/xbdkMuo7WtRtaega+ndtVerQYIUyDSL6CxJy16ysJDsAImzq8xQRz+jNrgn8G8ZiyJkZYTDM5izZui10gipgRSLGDIZTwLV+MqSD4KCWy8ADuf97RxhE2AV1H374ZS9+BAGTMmBqXoqLqX9YHlh3dOsUwktYjRKiWJAMJwmI690kd9Dh1sTA78phci5yOpouyK6vdpFvDpP6yOSG3d11BEUBl492QWpuQz6wloqIIQimrJUK6L5Nzk6wOdXzasm8/Y/r1JcPVsMhLLlsIezfVreg6MHS7ikip6qKA12v8VUeor6pA37md8luupcMbHwWuEcWEi5F7VsG+1k8jlRyyxXhAQtF2cGUD0HFw3xjH03b88OBzjLn8TDoOMl7z5NuuZsWL71JZqFyYFdEhREfUjie4pGRmMGjmcRHrl29ah6+Z140DuvUkLys7bJ3UJcufeZ2hJgcdLdI5XNEsjvrTpUy84fLAelVJGY8OPhlvRWUMo1I0h5+eeJm0zh2ZfOtvALC5nFy85n2eH30qxQnSZ2RzOZn+wr0MnHOSubgauBbDnaj9HogVCoVCoVAowpDgI76KOEUCm/1/NbwErASGCk0j/aZbjQ2rq0HXEU5jIEK63VS9+xZl992NLClp47DbN7L4IKQaKRJsPbrFOJrmoR8KOhWhOn9ig7lzL9GFXTI5Brijgdazd2C5eMuu2AWiiBmaxST+8Pmo/v2vYhdMFPB+8g6WK/4EQOqxxyBcTmScdWabRUWWVJfhBJJsaVaSUFREwsxoD596rnmiomrSU8OIihyusEIbWbIPinY0eT+tRrSciioOhi22Wi04HXYqq2u9F2YxU3VdNc6anbs4ctDAQAqxiAybDBm5UJofWl4rHVv5326rN/y2QN+xjbJrf0PaQ08ihEBYHTDzbuRrv4aSxJrZ3q4pD05AyejeOYaBtD2vzP41v1m7ECEEKZkZDJ59PMufjT9hsiJBMR3rZTsWFY08bxbWlPDXI7vy97O/uLBZ7WalZTCsd7+I9evf+5ySHXtC0hoqp6LoMfriuZx4358C657KKp4YeQpVReGvnxTxz5e3PYw91cmRf7wYAFuqkwtXvsuCSfPY9+OqGEdXP86OWcz5YD5d/KkO/awCzgFaX+2uUCgUCoVCkYCo5NCKtsIHXASEjNgJhyMgKAIjZZVz7llkv/4uWucubRxi+0YvLAgs23p2j2EkzUcvN83Abud24bFCmgYmhTW8pbgi8dA6dQ0sF27YGsNIFLHC7FSUDDOnvW/+JzBYozlTSDv2mBhHVJeqteuRHg8AQgg6m2ZNJwvmgZqkGTwLtRmIWRgNY4rTJKJNaYaoqMrtCV9hdxppqWp2IyX6o6ciH5/T5H20KhbT9UpLREVVkd2XOuVk1i00vzfuqjrVG3bvweP1QlX9gkfhcMH4mZDbE3K6Q1ZXsDkwf8bS68W36ueGX0Mb4PnqUyru/2vgNy+cmYjZ9xmpyRSJQUVwQD+1U04MA2l7CtdvpXB98Fq469jhMYxGkdQki9i6iXQbP5K84QPC1nm8XlZu2dCsdm0WK+OHDEeLkM65aPNONn1opOPUfaY+DTVZLSoMmn08p/wr6GTrc3uYP/4MSneotOqJzsfX3suiB58LrFtTHJz3w2sMPW92DKOqn47DBnDudwtqC4oWAkeiBEUKhUKhUCgUEVGiIkVbsgQYAywA1gK1p9sHpu9aevaiw2NPKbeZNkQvCc4OsuZkxTCS5qOXBVPnCSEMVwdF2+IzOxUluKjI1vSB1WRFdAgOhhZu2Ba7QBQxI9T6P56FEo2kqhK5L+iKkT79xBgGEx5ZUUnVyl8C6zknTYxhNK2EJRmdikyvKZ5/KmY3PpOgy94Ml0Fdj/RCRa33Q4dD+RG2jSEh6c9a4Aam+6AyvNNq97yOtUpEqCNFGKcir8/H/pIS3N9/g68gH73sEHp5GXp5OXppCdIddD7STroS7brX0W54E+2mt9Hu/gbtysdNrcXXl7H65X9T/eqLgXWR2R0x829gdcQwKkVjkSanImdW+xODVZjSnbU3UZWidRHtfGKU1ZkSknqsNmt3bKHKHT7VaEOMHjCY1JQwroqAt9rN8mffCFwP6Z7gtYBKf9Zyeh4zlrmvPBR4L3WfjxeOv5D81c0TiCnij4//eA9f3xm87hSaxsnP3Y2zY3z1LWtWK0f/5bdcsPwtsgf2MVc9CswCysM/U6FQKBQKhUIBKv2Zou1ZC5zrX3YCQzDEbRswXIxuAO4AsA0fScrs06l687+xiLNdk6huAXqt1DVadhb6gTgcvEpmTDP8hRIVJQfZOSECvf0r19ezcV1SO3Wkx1GjyR3an/QuuaR27ogzOxN7mgvd46GyqITy/YUc2ptP+YFC9q9YR8H6rZTvL2i4cUWbEWL9n5iniDp4v/4E+1kXAZA27XhDyOxrgUtJK1C9bgPOMYcBkDqob4yjiT7CJDiRSSIqEhFmwCcKUR/OFAnwfphFRb6WpRiUhTsQ3UfUKe/XozOLV28wnIcAHKmBwWMpJVTXdSoC2H+whO4Hi/F8+WlIub57B1qnLqScfUEjA4u/A3fFvbej9eiF/ejJAIjOw+CkW5Af3KpS0MY7Jqcie3pqDANpW3KHD+To6y6hx5GHB8p2L14Zw4gUSUc7T382aNZxOCIcU4pKS9i0e2ez2u2Z14XuuZ0i1q9e8D6VJrGgjCiWVjSVTiMHcc57T2JNMUTDUkr+e+bv2fHtTzGOTBFtvrj1nxRt3sHM+XdisdnQrFamP38fb8y4LNahAeDKy2H26w/T/ZixtatuAu4haXo5FAqFQqFQKFoPJSpSxJJKYFmtsjuBAcD5AM7zfkXV++9CmNm7iihjGkhN1AEx/VBZyLq1cyfcSlTUpkizU1EizurT9UDcwq5ERQC2CZMCA5/usnKKtzTcmdtxSD+Gzp3G4NNOoMvooc3ab3l+EXt+Ws3uxSvYvXglu5espLLoYMNPVLQKItmcigDPK89gO/NChBBYs7NwTRhLxXeLYx1WCJ59BwLLtqyMGEbSSpjFaskiKrIm32+lRWgJkDpRmGNs4fewYAuEERU57DaG9OnOyo3b/AXBQVPproYIA5iHKsKnPhNp6VT8415sk49H6xxMURrJ5cK7ZlUjX0DbUnb1xWT89wOs/QcBczFseQAAIABJREFUIPodA8dcjfz64RhHpqiXsqDw25GeyvUHf8LmcqJ7fbjLyindtY/tX//Ed/fNp2zPgXoaim96HzeBMZedSY+jx5DeJRfNWvfe5pc3PopBZIpkxXwMb2/ClrQuefSeckTYOp+us2zj2ma167Q7OKzfwIj1O79fzq4f6kkP2r7No1pEZp/uzPvwaVI6pAOGoGjh1Xew7k113ExWVjz/FnnDB3DUtZcA0OfkY+g8bgT7foztdagjM4Nzv1tAVv9e5uLtwFUYac8UCoVCoVAoFI1AiYoU8cjf8YuKbMOGk/PBZ5TddxfVH6nr/FbFPJiXoGnDZC0rbC0lJUaRKJKCBP0dRButd9Ad5eC23REHha3OFEaeN4sjrjmfvOGRO24bS2puNgNOnsSAkycFygo3bjMERotXsGvxCvb9vA7d42nxvtoTwmIxZorWfI5CGAMYpg5zYz20B92VE0yBlyziD4rykQeLEFlG6pL0GVPjTlQkK4PuJZojwd3fwhAiYk6WwTNLAoho2pJEcCqqnaKtJeRvBq8brHWFyWOG9AuKiqyma9TqyKlcqjzh60RqGlRXUTJ9Ut3KDpk4TpjuX9Hx7duL97uvGvkC2p7SeaeS+cHXaDm5AIhRc5Bl+bBsQYwjU0Tk0P6Q1ZoBY4vNis3pIDU3my6jh3LENeeze/FKFsy8goqC4nAtxSXdjxzN3FcepEPPrg1uO/WB63nnwhupOlgKQO8p4zn2zv9j/6oNfHztvXgjCAMVioZob05FQ+dMrX37EWDjru2UVjQvK9HoAYOxRbivL9tXwOpX3q9bodzyWkxqXg7nffQM6V3yAOP7/M1dT/Lj4y/HODJFa/PtPfM5/NIzSMnMQAjBeYteY+ElN7Hm+bdiEo8rL4fT3n2itqDoReA3wKGYBKVQKBQKhUKRoKgRU0U8sgp4FyOfMZbu3enw8BO4lyym7O478K5dE9vokhRpdipKRIcZP3pVNZrfWtmSndnA1gpFLUI6b9W0RACta4/A8qG9dZ2/HB3SOeKaCzjimvNxdcwK24b0+dDz8/Hl5+PLL0AvyEceOgR2B1rHHKyduyA6ZGDJyUGkp0d0S8sZ0JucAb0Zed4sALzVbvYt/4Xdi1eya/EKdi9e0SgnpfbK0LnTmP3c3djTWpiqJInGOHw/fos2dTZgiIr233RnjCMKRS8PDqAkpVA2GdOfJYqoKNLIXVSRoYKdeD14RNOpSPch8zchutR16bPZrGSkuigtrwCLSSTojuzIaonkHlrfd6vkINVvJNCgndvNwbnTyfrgK4TTBYA28Up03Qs/qzTYcUl5YcPbYIiUu084jGu2fMb9eUfhrQqf5i9u0DTmvvwAQ888OaLrV20Gzz6BQYXHcXD7HnxuNzkD+yCEoOfEMYy+eA4f/u4ulj71SisHrkga2uTcHH9kD+hN3vABYevKqypZt3Nbs9rtkduJztkdw9bpPp2l81/D51YTVKKNPT2VeQvnkzOgd6Ds5+fe5Itb/hG7oBRtRmVhMR//8V5mPXMXAMKicfJzfyNv1BC++P3dbRpLx2EDmPPBv8gIFQnfAfyFuL0xUSgUCoVCoYhflKhIEa/MA24HrsH/PbWPP4Lst9/Hveg7Kp5/FveXn8f3YE2ioSeJqKj0UFBUlJcX42gUCU077dStjdYx+DsqM4mKrM4Uxv36XCbeeDmunLpiIr2iAvfiJZT9+99Uf/55k/Zp6dMH5/STcRx9NLbBg9FycsIKjawOO90njKL7hFHUmOWX5xexe8nKgKPR7iUrA7PH2zvjrp7XckERgC95Ot89C57GeuIshBDYe3bHMXwI1aubl16hNfAVB1P+WVKdMYykdRCm9GdZZ86m7KvvweczBEY+HRlY9iG9PtB1Y11KwzFLElyXxqP0+bf3Px+fz5jtr+vYOuchdd3Yxus16nUddIn0+fBVVCArq/CVVUBzB78TMlVgK8YpEkBkFZJuJgritq0/QhhRkbEr/75CBHW+sNtCZFGRTDaXvoNFlJx/Oh0WvIewGYIrbdLVyN5HINd9Aus/BRn5fVI0AWsK9DkS0esIsKVARTFyx49wYL3xe83oDGl5kJJmiIeKd0Hx9qDgzpmFOOG6kCZlRTnlf7kB6fVi6dody+Ch2CZOQcs0rg8d6anMffUhXpl9VVu/2gZJycxg1IWnM/TMk+k6ZhgWe6groG/rZjzffoln2Y94V/2MLCzAPnsurt9dh5aVDRiue1l9utdp2+qwM+OJvyB1ybL5r7bJ61EkNiG3n8ni4NgIBp96QsS61Vs3oTfj3GyzWBnRN7xQCWD9O59xaPf+sHW66b2PNNlFER6L3cZZbz1Gl8OHBco2fvA1715yUwyjUrQ1y599HVuqk6kPXI/FZkMIwZjfXUDOkH68fepv2kRk3OWIw5jz/lM4Q/uqHkUJihQKhUKhUCiajRIVKeKVMuCPwFPAA8ApNRX2I4/GfuTReLds5tBfbsazeFGsYkwuvKaOekvidpz4ysqw5hmz0bTMDjGORpHQKFERAMI/YAJQvt+Ymd513AhO/8/9IbMPwbA196xfT+kdd1L9zTfN3qdv61bKHnucssceD5TZx4/HOWM69nHjsPbpg0hNDTuLPDU3m4EzpjBwxpRAWcH6rexevIKd3y1j00ffUrJ9d7NjS2Tsqa4WtyGlxLMwNtblrYHcsgEqy8GVBkDGjKnkx5GoyLvvQGBZczpiGEkrYUqNpaU46PVMfM1gllKCTw+9LpL+f1KGLEvpL2tKui9XFuKcv0NKGvKzJ2Hdl8E6zQrHXg4ZueDzGmI+T5XhcPPFv6AqQdz6E8GpSIuiUxEY6c8i4AsnIKrnbbFGEvr7vE0MKv7RN2/k0GXzSH/6ZYQ/VY3oOQ7Rcxxy0PHIhXeAuyzGUSY4g05EHPMbhCtUDC4OO73ep0l3ORTvBG81dBqMsIaejyruvwv3R0YKoYDcLSWFtHv+if3YEwEYMGMy1pSUuHAryh7Qm0k3X8WA6ZNx5mSGvZ7UiwqpeOge3O+9WUcQ6X7rNTxfforz8qtxnHZmwGErHEIITnrwBiUqUigikD2gN9n9eoStKyg5yO6CA2HrGmJIr76k2MNfOx/ctpvNn3wX8bkhLt6qT6DRCE3jtJfup+/xRwbK9ixdzcszLothVIpYseSRF8lfs5G5r/4DV8cshBD0OWki15T+xE8PPMfXNz7QavvufeLRnPr2Y9hcgUk5OvAH4GHi9oZEoVAoFAqFIv5RoiJFvLMBmAmcBPwNGF1TYe3bj8x//4eKpx6n/OEHjZnmiuZjdiqKkHM+EdDLKwLLlqzwqZgUikahZiUamAZbpa4z5fZrOOamK9BMxwkpJdWLFlH8pz+h72id9GPuJUtwL1kSLHC5cE6bRsoJx2MfORJLly4Iuz3sczsO6kPHQX047IJTASjdtY/9K9ezd9kv7Px+Gbt+WEFVcUmrxB1PmF1hPP/7L+7XnvO7vcjgQHrNzFyphx9cLzkIVZVtEG3b4Vu5FOuEyQCkz5xG/r3/jHFEQdw7dgWWhcWCNSMNb2nyDKp78huXQidWCCHAWkvUIQL/6hbXLrOlwK3f+9dMIqSaetPxVZz1N/Q1nxotCQ0xZErkgazxc9F/fBMqS8DnBq/HEB35PMb1nNcDeX0hLQfc5X5Rkhd0/6PXjcgKumqIrG5IfmzEO9JEXFlwyJQ2M1678M1CsHpcgxpNPY6fXm/T7le0SNciyeZU5Me7YqnhWPT8fxGmwWDR6wg483HkezdCSfsUBrcIix1xwvWIQZHdQOpD2FOh0+DI9WnpdQurqii/4yZsR09C2B1oFguT/3I1n91wf7NiiAZTbr+Gcb+ZhzO7Q71CAffHH1D+t9uQRZHPUbK4iIp776DysYewTpiIbdThiJxc9B3bqHr1RayDh5L+xPMA2NNcDJx5HBvea5pzp6IdYnbOi4bINQEYMH1yxLo12zY1q83MtHT6dukWtk736fz8/Nv1uidKqZyKmsP0x25j2BnTAutFW3Yyf/wZMYxIEWu2fv4Dz048l3Pff4rsfj0BsNhsHHHD5eSNHsrr0y6J+j6HnDuTk5+7G0uwb8gDnAu8HvWdKRQKhUKhULQzElc5oGhvfAR8DByNMbvgVEAITSP1qqsRKSmU3fPXmAaY6EhfsNMqkdOfycrgYLeIgiuHogUk4qw+kzgxkcV1UcXkhnD09aGzDKWUeFavpvi31+DdvLlt46qooPLNN6l8881AkdazB65Zs3BMnIht0CC07OywHcEZ3TuT0b1zSCd2wbot7Px+ObsWLWfn98vJX7s5flP1NBPzsV0WF8L2Nv7M4hTPq88GREUpwwZjH9AX98YtMY7KwLNjF9LtRtjtCCHInno0B17/KNZhRY01l96Ms29PUnp0RggNNGGoc4RmnEKEZmhshDDOKTXnlcCDMKl5TMu1zj+xnGUe3Lc51vBowxo/4K+Nq99ZpMnk9jHcj9wWsDsD6eRA+sWGNQLECMdFTYPOA8GeGhAlih4jDGelAHF6TDWLiqKRYkuLfP3gC1xnNO47GTH9mTf5nIpq0Netofikibh+fz32405C8wtWRHYvOOtJ5MK/wM6lsQ0ykcgbhDjhBkTHvoEiKSXk70Lm70J07g3ZnQPHKqnr4Kk2/hwusNrqHEOl/9gg/L8drXOXsLuWRYW4P/kQx4zZAIy94qyYiIo6DunHeR89S4cencPWy4pyvCuW4f76CzyffYS+f2+j25Zlh/B8uhDPpwtDyj3ff4Nv904s3QwHls6jBitRkaJBNNO1uu5LflFRh17dyB3SN2zd/uJCCkubPulDE4IxA4dGFOVu/vhbyvbW734kzS7eCdilEQuOvfP/GHvl2YH18gOFPDHsFDX5U0Hh+i08fcSZnHjvtRz2q1MDk9P6nDSRyzZ9woIp51O2a1+L96PZbEy+54+M/cNF5uJyYDbwWYt3oFAoFAqFQqFQoiJFQiGBb/1/hwMvA4MAXBddSvUnH+FZGt1Z1lrnLmi5eeD14tu9E1laGtX24wpvcMazsNnq2TC+0SuCoiLNpURFbY55sDERRUVm4nTss62R5eFdUaTHS8ntt1P+/PNtHFFk9B07KXv0McoefSxQZj/ySJzTT8Y+fjy2/v0juxkN7kvHwX0ZffEcAKoOlrJr8Qp2fb+cnYt+ZvfiFVQnuEOM2akoKm4cSYK+7AdkVSUixbBHz5g9g4L7H4lxVH58PqrXbyJlxFAAOp50TFKJijwFxSwaObNV95E2cjBHrXgnsK5/8l/k03caQhJN85+rhLFstYHFajzabNClN8KVhizYC+WHjDpNM5xoNPOyJfAoMjuiXXVH1F+H3LwG0W9Y1NutQfQ8zHgsLESsqn9AXeo6hvOSX2g0cCJi0NBG7MQCeQPgwMYoRBxFzOnPojH4VY+oyOsLd+yNfMFhjeSQ4E1Op6IAB4uouO16Km6/kfSnXsQ2dgIAIiUDZt+H/OoRWPV2jINMAPpORJz8F4RJ3CfLS9H/eQ1s+tlYr6lISTOOaRW17nczsmHUsYgeA8CVjtz6CyxZiLj4DsTIiUBkURFA9esvB0RFKZkZnPrCfbx9wXVRe4kN0W/aJM559wksttDfpX5gP+5PF+L+ZCHeFcsg7G+zZciy4HWjKQWLQhERYUq36qtO8uM8MODkSRHr1u/c1qw2B/boRYfUtLB1lUUlbPzg6wbb0M3pz5RTUYMccc0FTLr5qsB6dWkZjw+bERfpLhXxQWVhMe9e+me++/sznPu/J8nu3wuAzH49uXLHl+z9YQUfX3kb+SvXNat9Z04Wp771KN2PGWsuzgdmQGvYsSoUCoVCoVC0T5SoSJGoLAPGA98DwwBS5pwZFVGRpU9fnGfPwzFtOhZTB6nUddxffk7ZfXfj2xofDgbRRFYE04Zp6eE7YRIBWVUdWNZU521sSXhRkZpVBxiztUeMDinzbNpEwVlnoR/Ij/Cs+MG9aBHuRYsC66kXX0Tm7bc3+LyUzAz6n3QM/U86BjDOAQfWbAyIjHYt+pnCDVtbLe7WIKRTPMlcmFqKb9VSrOOMwdGM06bHj6gIqFyxOiAq6jBuRIyjSTx6/eHC0ILqSr/jjq+uuK66Vmq//buarC+VgO/LdyC3q1+kZDHESDWCJCFCBE1i8mxEr4FQUhRMRSj1QKo0uW458n/PG3UDDkObcwWkZRht14igatq2Wg2BjF/kJFIzjJg2rfKXWQPxiC69mvjKggSPJYYYRzgaKeL2eRCHn4os2Q9rPoLS/c2OIapE26nIEv4WW9f1kJQqwX3W01REUVHyOhWFoOscumwerj/+Gce8i/6fvfMOj6Jq+/B9Zms2nQQSeu9NFAQEFBBE6aAIKDbsFRXsn6/6igqIBTv2DlYs+FpRFKRKBwGlEzqkt20z3x8btsDupm12s8m5r4uLmTMzZ57J7s6cOed3fg9CCISiRwy4Cy2lmUtcFIrPrCaS0gJx0WMIr++jtudv1BnXgM16+v7FAYTTuZnwxxenf02PedJzKmkNAobhWLsa29LFGPv2B6DLpJEkt2jMvJE3U5yZXcaLqRhDX3mU7jdO8E3/umYVRS8+g2P9X1XeFlKS67iXa0OaXUnl8XEqquHi0bj69Ug/w39axeM52RzPKf/9IdYcQ9vGzQNu3/Lp96hlSB8q05+Vnc6Xj+TCOQ+51+3FVl47YzSFx7MiGJWkunLStejy79+g4dldAJera4PeZ3DV+q/Y/un3fDfpHtRytHOTWzfj4u/mkty6mXfxJmAMIK2ZJRKJRCKRSEKIFBVJoplcYBbwHoDx3P4YevbGvnYN2G3lq8lkwjx0BObhIzGc09dvx4FQFEwDB2E8py/5zz5N0XtvheASqg/OAwfcy4YG/q3howHV6vnshckUwUhqKd7pw5QoFBV5CaE0adUNQPGcGRjOv8id+sK6dh3HR42KcFQVp+jrb4i/5RZ0aWk+5erRQ2h5eSgNm4DJdFqqD6EopHVuS1rntpx1o8vavfB4Fhkr1pekTVvPgdWbsBcUUl3xTnPp48whwf7xG25RkblDO4xtWmL7p3r0QRav3wSTLgUgpmWTCEcTfehPSYWqLVlY9SfVVDiaUfp+gPb3X2UXLv27AXXGLRUOyxtx839RBozxxKE6QQg0TfMdTKuAQFhz2l2p1ISXiMrpgH3rXHUmpkHvK9B2LoMdyyp/MZXFu91fhU5FTp9UNt5/1yBORQFSEtfk9Gf+KHzmCexbNxP336fdqTxFlzEQm4r2w2PgrNmD7xVBnDneLSjSNA113mz45aOQ1a8d9EyyCeZUBFD45CPo3/8cJbUuQgia9DmTO/f8yvPNBlaJsKjJuT0Y99kc4uqleOJVVYqen0nx+2+GRVit1G+AUs/T1vynDO4oEomi99zza7pTUasL+wXcVlGXoi4tWgcU4x5cs4XD67eWqR7V4XleKzopKgpEyyH9GPXOk+51p93BW73Hk717fwSjklR3ijKz+eCCyQycfiedJg7DkpIMuN452o0fSusxg9j8zpf8dMtjpbbL4xulM+7nt0ls2tC7+D3gFqD6dsxIJBKJRCKRRClSVCSJdn4GbIBRV7cuye/PQ83KpOiTeRR/9UWpjkJK3bqYx4zDctU1KKl1A+2WCcSU/EOYzcQ/+DDCaKTwjVdDeCmRxbF5o3tZSUxASUpAzY6+dG+al6AsUJojSbiIblGRdCpyoR05iPOfrehLUtsYz+iKqf95WBf/HuHIKoZ64gSH+/bF2LkLdb/8wl0u6tQl//KhkJ8PKXUxDBmJvmc/dK3bIZKSEeL0DmVLajJthg+gzfABrrodDo5s3E7GcpfQaP/ydWTvLpuwIBz4zPjTyyagN6enQBvK8aerh1tR0aq17mVdbAzmJvUp3hc8PZXEC6/BIG3N77C7bANKNR5v95LifNj6i2s5Kxf2b/BsE8IlQhSK1/+KK5WZUEAoHNiwlMaGQhS9AQoyIacM308hEK36oCXWh/XfgrOcEwJCSZicipzeAyNl0xQFdioq7wSKGoD9f1+Ts2M7ie98hihJcSxa9oOLHkP77mHpWOSNORFaD3Cvaos/D6mgCID9/7gXlZRUMBgDfi/VA/vJvXYi8a+8i65hIwBM8bFcv/pzXmw5KGQhNRvYi0FPTaVBj84+gkitIJ/8/9yH/ZfvQ3au0tB5pYR02h0c2/xPkL0lEhfCS0jqrMHiUUtqstul5FSy83M5knWi3HXWTUymfor/Pj1bQRGb531X5rpseR7nNr1ZTlTzR6NeZ3DpFy+gM7jSa6pOlY8uuo4jZRRuSWo31pw8vr/9cRY98Czdb5pAn/uvd4uLdEYjXW+cQIdJo9j53WJ+ufUxivw4XxnjYxnz9SunCooeAp4iaOtaIpFIJBKJRFJR5JQLSbRzCHjAu0BJrkPsTbeS8sOvJH38GeZxE9C1aOnZwWzGeG5/4p+YScqipcRNvdefoGgrrpkN6UAKEAuMAw6f3CFu2n2YL7m0Si4qEtg3rEPNzwNcM0RS77y5lCOqKXZP55swyEHzsOM98zfq059FOoDqQ8GUa9yCPaEo1Jk7F8vEiWX/jHU69G3bEDN6NHE330zCQw+S8OCDxE+ZgrFHj/B/V4qt2Fav5nC/fmi2kuvS64l55BnX9hPHsH/8FkVTriZ/aC/y+ran4O7rsC38HOeenWj+0oYAil5P/TM70uPWyxn70Wym7FrE1MN/cumXL3HOPdfRuM9ZEe2YVh1eA64GKbo8FefGv9zLCaOHRjASX4o3b8Vx3DW4IoSg+f03Rjii6MLHNc9Zcwfoyo2P8MXzwFNPFdRqmuvv5rCBrQisBVCUB4XZLgFR/nE2r17Ge2+8yk9ffMSmv1ZwPCvXf5ovP4i6LeDsCaCP4KCdt3NbFToVOZyBRC/BnIoCvK4HrKtmo/6zjayL+qAe96RfFS36IPpPiWBUVYjQgaUOxKeDMbbsx3UehSj5TWmqivbJM6GPbZ/vwLFSN+AEHQDUPbvIuXgI1m88gu46LRrT94HKPdMUo5GBT97NPcdXctWi92h4dhcfQZF92R/kXHxhWAVFAMIr9Vm0vxJJwoe3K45qr7ltlpZD+gX8XWzfv7dCdXZq3irgtq1f/IQtv6DMdRV5pStU9HoUORnDh7odWnHZd3MxlriBaprGV1fey+5Fy0s5UiLxxZZfwLLZb/Fy+6Fs/OhbVK/2rSE2hnaXXsSth5dxwRvTfY5T9HrGfP0qaWd29C6+C3gS2ZMnkUgkEolEUmXINyNJTeBZ4BhwI3AmJY5CAMazemA8qwcAms2KZrMhLLGB8qIXAe8DHwLLAO9RBQ34HPijZFtLgPiH/4vz4EHsy5aG+prCj8OB7ddfMI90pcJIHD2Mo4/OjHBQ5ccnHUSAmeKSKsR7EDHQ7PpoQaY/85B5gsL/TMXy5AsIIVAsFpJnzcRy8VhyZz+Dbd06sLqENvrmzTH27ImhYwcMrVuja9QYXXpakHSEU3Hs3UvW3VOxrVoVvmsCnHv2UvDBh8RdOxkAfZ8B6M8bjOP3n313VFWcy3/HudzLnal+Q4xDRqLv0RelZWtEQpLfNEFxaam0HzOY9mMGu85pt3N00z8cWLWJA6s2cmDVRo5v3RmWdHu+TkUy/dmp2Oe9if5sVyqGapUCTdPI+98vJF85HoB6Ywez9ZZHIxtTNOHjQiP7mP3i9Xcxlsw4Ly92h5M9B4+y5+DRknr0NElPpVXj+jROTw2aRk0kpqF1vwRWzQc1AmIZ4XU/DEUaLT/OdgCqWv7vnxKgLs1RO0VFAOTmkj28P0kLf0NJrQeA6DwK7eh22FJ2J4pqS3JTRLvB0KIvJDV2pzAD0E7sRtuyEDYuCPxbSW2J6DHJs/7PWrAVhz5OmxVNU91OjiIlFQ4eCH5MUREFj96Prmlz9F3PBOC8R25j/XsLyC+5d/gj7Yz29Ln3OlJaNwNcjhhOm434BvVIbt7I77u9evQIhc88ge2HMKS89INz03r3sqLXc8+xFax541OWzngdW25+kCMltRlv8YrTWjMd6YzxsTTufYbfbXmFBRw4HvheEIi05BSS4xP8bsvec4D9y9b63RaI4ixfx259jAlbXs0VeZWHxCYNmPTjW8TUSQJcgqKf75nFpo+/jXBkkmim8FgmCyZNY/EjLzBo5jQ6XDzEvU3oFLpeN45WwwfwYa9Lyd17gG63XU6TAT29q3gOeD7ccUskEolEIpHUNuSIu6Sm8EHJv2RgMnAV0Nl7B2E0IYx+B7UPAm8Ar5csB+MoMAhYDaQKs5mkuW+RffXl2Nf8Vcqh1R/rb7+6RUX6tOCzTasrJ11HQKY/iwRatDsViTLmI6mFOBZ9T/HLT2O+9R734LCpZ0/qfvYpAGpREcJo9LHtLyv6pk1J/fQTsh94kMJ580Iad2nkzZmDZdwlKAkJCCGIeeplHCv+oOjemyBY2oFDB7C9+yq2d0vSYOr1LlFS/yHoOp6Bkl4f4ccNSGcwUP/MjtQ/syPdb5oAuGboHfxrs4/QKHd/6NNbeTsVCSm6PI3qnAIt94tv3KIiY70UEvucSc6f5RsgqbXI+7p/vJ/XXu5EsSFyU7PZHezYf5gd+w+TGGehZ+c2NGtQL+D+IqkBWuehsCECg1Le98NQuFkFSJ/qI6wqY3spoONTFDaxQoq1mOwxg0n+YRki1uXgI86bgnbob8jcHeHgKkijboiekxEN/acEAhApzRHn3o7W/kK0hf8HeYd9d2jQBTHiSR+XIvWdx6ouZofD7XyopNajTFI3p5OCJx8h8RPXb11vMjJl1yKWznidJU/ORfV6l2s99DxGvv0ksfVSggoTfarf+S/FX8zHuuBTKCy7M0moce74B/va1RjOdE1wsqQm0++BG+l73/Xs+3MtB1dtYt+ydWz76mc5kUHiRng5FTlrqFNR8wG9UAJMbqioS1Hbxs0CbtvyafmqvgdxAAAgAElEQVRdyopOERUZLDHY8iJ3P6kuWFKTmfTT2yQ0SgdcbZTlz7zD8mfejnBkkppC1s59fHbJHdTr3JYzrh5D95smYLC43s1j01OZ/Pd3vNZkAN3vutr7sHnAtAiEK5FIJBKJRFLrkCNKkppGFvAMLveis4BrgXOB9vh2vxcAPwNfAJ8B/nPZ+GcPMBb4HogVRhOJr79D1rjROHdVA0eDSqAe8XRMiwrOVI80akGhe1nEmCMYSS3Fn1ORwYDp3PMwdOyIMJlwnjiBffVq7Js2RibGYPgM8kW501IVYHv/dRyr/iR29lyUeuk+25SYmABHudA0DWw2tNxstLxc0DSUxs3c4j+h05H44IM4Dx3CunhxVV3CaahZWeQ8+ijJzz7rikMIDL3PQ7dwOflXjYQjZRT3OBw4fv/Zx+VIadwM/ZCR6Hv0QWneEhGX4HdQzBgXS7P+PWnW3zPbLv/wMbfIKGP5Og6s2lQu236/1yrTn5WKc+NfbreihNHVR1RUsGQ5tl17MLZohhCC9i/9hxXdRkc6rKjA5zdXAaeYGou3eMbr2Wcw6EmMs5CTX+jnoIqRk1/IT8vX06JRGv26dcBk9N/GFPXboZ3YCxlhbh/4pD+rukHcgJqIIO0NLZAQLhqF26EmP5+c6yaS+NFXCEVxCWku+g/a/BvBGUUOHyktEOdcj2h+TpkPEXVbw/jX0H6dDbuWulLutR2MOO8OhNGTjkb97i04tr+qIgdrkY+oqKw4t22heN57mCdeBbiERf0fuY1+D9zIvj/XYIy1kNyyCTF1EsskJtLsdmy//oT1kw9wrAmv62Uw8u+6ibjn52Lo1t1dJhSFpv2607Rfd3pPvQanzc5fc+fzwx3Tg9QkqS0oXpMzVHsInPOqGTqjgabn9fC7rbC4mIxjh/1uC0ZqYhKpiUl+tx3esJ2sXeW/BxZnn+JUZJLvTca4WC773xuktm3uLtv00bf8fI9/d3O92YzqcPg65UokZeTopu38NHUGK557l+Fz/0vroecBLoHfpBWfkNCkgffu0/DNNCCRSCQSiUQiqSKkqEhSU9GAv0r+ASQADQEjkI9LGFSZvAFLgIuARYBBiYsn4cmnybrskqieaajZvLRVUTpYoXoNuotSRA6SKsBrYFIoCrE33Ejs9Tegq3u685UjI4Pir78i//W5aDk54YwyMN7x6+Uj0h/qti3kDe+L6ZpbMF5+LSL+dKGMZrWiHtyPc9e/qP9sxblzO451qyEvF9GgEcYLRmAYMuI0NzElKZHkWTM53Lcf2MI3IFj42ec4jx0jedYsdPXru2JJTCL+w+/IG3ZOhdOGqPv3YHvzBWxvvuAqMBrRnzMAfd+B6Dp2RUlvCCaT/7Rp6XVpO3IgbUcOdNXldHJ0879kLF9PxvJ17F++nsx/95QvoEAuGRI31TkF2onX3qH+LJfjRHzXdiT06Ezu6k0RDiwK8EqLE1CgURuxe99jff8ujdJSQioqOsmujCMcz85laJ+zSIiz+N1HtBuAdmwnWMPoCKCEOP1ZgPurr1OR1/uCUoE2d5S200ONum0LRa/NwXLLXQCIlBbQ71a0xc9FOLIyEJOE6HMTosNFp23SbMVoW5ajLfkadqyHwlzo1Adl/FRE/WYACEsyYvgTaLYC0Jl806SdFBQteLlqr8FWBCQCoPhp6wejcOZ/0YqKiJl8k7tMZzTQfEAvv/s7D+zHvuJP171Lp0fo9Wg2G/bVy3EsX4qWn1fhy6gqtOws8iZPwHDOuRiHj8HYf9Bp76c6o4Get19Bu9GDWXT/bJlCqJbjncqvRjkVKQodxg6mYc8zaNCji+sRJgRCgL3IStau/ew4uA+1Au8nwVyK/v3f7wG3BUVV0TTN/dxWDHqEomCIjcEYayn5PwZDrAVjbAx6swl9jBm92YghxuxaN5vQx7j+N8SYMcTGYLCYMVhiMMTGYE6Mx5QYjzkxDmN8LGgaqsNZ8s/12QudDqEIvykeTyIUpeSf8FlWKuAe7I2mqqhOFc3pRFNVjHGxp+3T+bLhdJo43P15umMqWdY0jZUvfMCPdz5RqVgktZfcjMN8POwGxn78DJ0nDgcguVXTU3crLeOARCKRSCQSiSREyBFTSW0ht+RfKFkCXIbL6QhDtzMxnjcA22+LQnwaSXnwdipSQpTCQ1IOvPoB4+6eGjQVlr5RI+JuvY2YsRdz4vKJOHftCkOApeDdkVnJjriajvWdV7C+8woYzSht26Mk10ErKMB5cD8cOuDZ0WRG174TpksuR993IPrO3YLWq6tfn9iJEyl4770qvgJfrIt/58igwSTPnEnM8GEAiLh4Yh6bTdEDt4XmJDYbjsU/4lj8o6csqQ6GARei79UPXZv2iNQ0v4I2RacjvWs70ru2c6dNKzyRRcaKDW6hUbncjKSoyC/VOQVa9gefkHrXLRjqpyGEoMu8Z1naanCkw6r++GQ/k997N97PuFP+Lm2bNmTLzqpxN8nNL+LbP1Yzqv/ZxFn8iL/1RmjdDzb/UCXn94u3U1CA1GXlIlD6MwKlPws8WKgGcNcqayqo2kDxGy9h6D8IQwdX5mvRZTTavtUuB5/qSlp7xKhZCHOCT7FWVID62XOw+PPTj9m4BHXjEsRVDyPOHev+Dgij70Cvpmmonz0PP1RxO6p1N0j0CIm0/PzyHa9pFM2Zhe3H74i5eQqGvv39tn+ce3ZROGcW9l9/qmzEkUFVsS9djH3pYgrrpRNzw23oWrdFxMWhb9XWvVti43TGfjSbUe/O4MCqjXx11X1k7dwXwcAl4eZU4YjTVnOciu7O+IP4+oGFhzkdW/LNfb+Wu96kuHjSklP8bju2dRc5ew/43VZe7tjxc+k71TCEoqCUMmIgFCVoNlYhBN0mXyxFRZIKIRSFLpNG0mHchbQZPiDQbteEMyaJRCKRSCSS2o4UFUkkleNz4FtgBIDlmuujW1Tk47IUnYMVPunPTFJUFHa8BtK8BUWapuE8chQ1vwBdWj108XHubbr69Ul+5TWOD70w8k5f3ufXyUdkmbAVo25a5/KbNpnRtWmP7pz+KK3aoO/QFaV1W4Q+cDpFrbgQbcsqRNO2iFSXS1D87bdTuGABWm6otaDB0XJzybz5ZpLtc7CMGQOAvte5VXvS7EzsCz7GvuBjd5HStAX684eiP6s3SovWiMQkvwPIlpRk2gzrT5th/V3xqypHt/zLgZUbObByAxkrN3Jsy79oJd9rOQZdNqprCjSt2MqxGc/TYM5TAFhaNqHBNWM5+M6XEY6seiOkQ5d/vJ9xp4hgUpMTaJKeyr7Dx6vk1AVFVn5Yto7R/Xui158u4BUNO6HtXAFF2VVy/tNPGGJRUQBHrED34AoJhGSKVh/yrr+c5EUr3YJQMeg+tI+3Q/6xCEfmB0sdxPAnfARFmt2K+tOH8EXpzxvtvcfR1i1GueFJhCXeU65pcCwD9YMnYMuKKgkdAL0RcfNMxBn9PW4UDge2RRUTAjq3bSF/yg0ozVpgGjoSpVkLKCzEuW8PjvVrcKz7q8bcu7Wjhymc/n/udaVpc2IffgJDD487k86gp0mfM7n93584sX03WbsziKmThN5oYMdPS1ky/RVsVeAkJ6l+BHOniTbi0lODbt996AAOZ/mNxKvEpagE1eFAZwj8DispG4p0f5ZUgNh6KVw8/zmaD+gZbLe3gPfDFJJEIpFIJBKJBCkqkkhCwWxKREXGnr3QNW+Bc3c1cFypAFqel228AH1aXRxHqmFnfBDUAq/0Z0bZCRRuAvX5H77qBgq+98wwNnZoR+r0/2Dp1wcAQ7t2GHv2wrZ8WTjCDIz3BcgOsOAYjehatUPXvjO69p3Qte+M0rxVmdLGaXYb2va1aN+8BX+vcpU1bYcyfT5CCHRp9Uh+/nkyr702IgNJ+W++5RYVYTKH/fzq3l3Y3n4J29svuQoUBV3v/hgGXICuUzeU+g0RxtNFk0JRSOvclrTObTnzunEA2PILOPjXZg6s3Eiz/l6dcmplMoDWbKptCjQg+8NPqXP9lZg7tQeg3Yv/4eAH34CjBqXICDU6b8FIzRiYDglBnIoA+nZrz5e/rqDYWjVOCZk5+fz19w56dWl7+kYhoGk32PZblZw7KKH4jgSoIqB4KMg5A26RKlFfCgvIu+sm4l95FyGES7Az5P/QvrwrREKx0CF6TUbEupw1NE1DW7MI7fUHwVGOtK8bl6De1g/SmkL7HpBzHP5dD/lVLMTrOwpl0gMIo2/bqOilZ1APZFSqanXPLopeeb5SdUQb6t7d5N0wCePQUZgumYihW3f3NiEEqe1akNquhbssvVt7zpk6mZ/vmcWK598t17najhrE4KfvISY5kWN/7+DDi67HUVgUqkuRhABNVdFU1S0mMsTUnAlSmqr6TDiy5RcidAqGGDOqqrJpU/nT+cbHWGiQ4t/9KHPn/vKniT6FnT8to82w8/xu00qe25qquT43pxPVqaI6HK70ZXY7TrsDp82O02rDabVjKyzCXliEvaAQa14hRZk5FJ3IouBoJgXHskBT0RkN6ExG9EYDqqq56rU7XM8KP5OvhKKg2u0l53a69lc1VLvdvVwRFEUgdDpGvDGd5OaN3OXFG7dw5KH/otlsrncPnQ6EQLPbweFEc9jRHE4SRg+j7oPTAFDtNcdxSxIeGnTvzKVfvkhi4/qBdrEBDwHPEKSpLJFIJBKJRCIJPXLEVCKpPEuAzUAngJhJV5H/+CORjaiCODP2o2ZnoyS5XDEavv48e0ddHumwyoW3U5F0mokAAQZudA19OwRsf2/j4NjLaLZ1LfpU18CKqV+/iIuKNFV1e3SVRRxTa4iLR9e6PbrW7VxORG06oLRqE9SByBtN06AgD23fNrRfPoVVfizk925D27wc0fkcAGIGDyLu1lvIf+nlUF5JmXAePepeFkJASl04EUGBpari/PNXnH96pQVIq4/xwlHoevRB17INIjHZ74C1MS6WZv17+gqKgFL97Gsx1TkFGqrK4fseo9l38wHQx8bQ9dPn2TA2RCn6aiLSqcgvPvdvP8/uOEsMQ3p34/s/12KzV41obfPOfbRv3ojE+NjTtomGndG2/wFaGASQIf+OhO57pgWKR2qKTsOxYinWBZ9iHjseANHwDLTuk2B1NZvEnt7Bs/zvOrRXplW8riN7Xf+qmuQ0lLtehoYtfdoaalYmhTMexfbDwqqPoaaiqtgWLsC2cAGibj1MI8ZivvoGlMQkv7sreh0XPHs/LYf0Zd6Im1DLICoe8cZ0ul17ifuza3puDyb98Cbvnhtd7/m1Aafdgd5kBEBnDv/EhqrCYbVjtLhERXt/XkbOrn1Y0lJpNXoQO3bsoLCw/O5bbRo3CyjWraxLEcC84TfQpG93Eps1pDgzm8IT2RRl5lB4LJPi7PC66UaCid/O9REUFa5Yzf5LrkArKi71WGd2jnvZYS2HYFZS6+k9dTIDn7jLfR8sYQHwA5AM6IA3gOia/SqRSCQSiURSQ5AjShJJ5dGAl4DXAMxjLqHwnTdRM/ZHNqqKoKoUf/EplmtvACC2X2+afPI2+8ZPjnBgZccn/ZmflBqSyBA/eiS5b753Wrl1zTr0QwYBYDjrrHCHFZwaZDlfHkS9dHRtO6Jr19ElIGrdHqVBo9IPLEHTNCgugOOH0fZuQ1vzG6z7o0wz8LWnb0V78RdEoktoljBtGtYlS7Bv2Fjh66kI6tGjqIWFKBYLAOY7HqT4kbvCGkOpHDmE7b3X4L3XXOuKgq5nPwznDXa5GTVsDCZzwM52kRI8DUFtp7qmQAMoXLaS7E8WkDTe5aZVb/QgkvufTdbiVRGOrHrim/6sejmWRBRTjGfZ6X9QOi0lidEDerJo1UZOZOf53acyqKrGuu276d+90+kbDSZIbgCZUdieDiAECnQ/DiZBCiwqqp1tlNIofPxBDL36oCtpt4ieV6NlrIVDmyMcmRfxae5F9Y8FEQykjIy7E2XIFQjF973KuuBTCp+bgZYTpjSFtQDt2FGK336N4nnvYxo6EkOvvi6Hkvw8lKRkDOcORBgMCCFodWE/HirehKOoGFt+IZk79rL6lY/5+7MffIRGA5+820dQdJImfc/CnJRQK8QR0YRqt0PJYHpNcioSXk86/cnrKvlObtxY/ve8GKOJxnXT/G7L2X+YY1v+LX+Qfti39C9Y+ldI6oomRr71JG2G93evF2/eSsbEa8skKAJQYj1icUexNdThSWogBksMl//wJk37dfcudgLTgDlIRyKJRCKRSCSSaoEUFUkkoeFD4EmgjhIbS+Kcl8macAnYo29WTsGrL2G6cCi6ho0QQhB/wQBa/fUru/qPQM0vKL2CCKN6z3KrpaKQiBLAYtvUuaPf8oKfFhFbIioy9jgbXbNmOPfsqaroSsd78K4WDNgpDZugtOvoJSLqgFInpczHuwREhXDsANrOzWjrfof1S0GtoKuFqqI+Mgll9rcIvR6h05Fw/wOcmDixYvVVFFWl6Isvib1iEgCG8y+iePYjkFeNB15UFefy33Eu95qZm5CE4fyh6Huf6/ps0zyOYVrWiQgEGT1U5xRoAEcefJy4gf3Q101FCEGXec/ye/2+kQ6reqJIpyK/eKUv0nKPBDS+SYqPZcyAnvy77xAb/tlDdl5o24I7Mw5zTte2GA1+nO9SmoVHVOTz7A+BBVBAUVEFqgq0QaY/C0ju5PEkLfzd1Y5QdDDkYbSPrwVbfqRDc+GdflRvDLxfpEmog/LIfERyPZ9ix85/KHz8YRzrVkcosFpAUSHWL+Zj/WK+T7GuXUfinnkZXaMmACg6BWOcBWOchbj0VJr0PYuxH80GXGmZnDa7jzBFs1oRJte6EILzHrmNH+96MkwXJSkLTi9nQL25ZoiKYuul4Ci2YbC4xMxpPTqhN5uw5RWQkZFBZmZmuets1bAxSoC+nh3f/1GpeGs75z81lTOuGetet+3aw/5xV6Lmlv09WPFy2XJWURpdSc2hbodWjPv8Beq2b+ldrAGDgMURCUoikUgkEolE4peaP2IqkYSHAuCWkyuGTl2Iu6sSVvYRRMvLJfu6q3Du3+cuM7VsTpstyzG2axPByMqGT/ozOeASfgK4QAiT/0GT3A/no9lc4juhKJiHDquy0MqE90BgDROlKU2aYxgyEvMd9xP7yockLFpL/IJfiX3qRcxX34ShV7+ggiJN09AKctH2bkP9/SucL0xDvbYX6vXnoD44Du2tx2Dt4ooLik5y/CDq5y+5V819+2Do1q1ydVaAvBdfRLO6ZlYKnQ7TdXeEPYZKk5uNfcHHFN17E/mjz8WxwTPT9uS1SfxzMgXaSRJGDY1gNKfjzMzi8AP/da+b0uvSZMqVEYyo+uLrziBFRW68n3FZ+9EyM4LsqtC2WUPGDT6Hkef1oEOLRljMoRFDOJ0qGUcCiByTGoTkHKXi3XYJybM/gKjIW7pV2ZRrso0bEO3IYQqe+D+3y5NISEcMnBrhqLzIPeReFM3aRy6OUlD+70MfQZFmtVL44mxyLx0hBUURwrltC7mXj8H640K0AGnPhBAIIVB0io+gSM3LI/fKS7B+84W7rMsVo6o8Zkn5UH1ERdVYdFgOWg7py7G/d7jX9SYTad070XhATzZs2ACUr3Vm0Olplt7Q77aCo5kcWvd3ZcKt1fS682r63He9u+3sOHyU/ZdcgfNo+TJNiRgvUZEt+iZaSsJHmxEDuW7lp6cKirYAXZCCIolEIpFIJJJqR80aMZVIIssnlKRAA4i58hpEORw/qhPOXTvJHDcK2+qV7jJdQjytlv6Peg9Vo055P/ikPxOixglDqjvWv7f7LXdmBUiNoKo+n5kuNcIpmXxERVE+YBcbh2HQUGIenU3898uJ//xnLI8/i2nSdei790LEJwQ8VHM60LKOof69CufXb+B89ErUK85AvbEf6kPj0d54BFb9DLayWaCXm4XvoBV6HAVix4+vmvMEwXnoEIVff+1eN/QfEvYYQo4chC4Xzo0eEVbC6OolKgLI/eJbCld4BnZbPhaFwrdw4N0OCOCmVzvxuh+oKqz/GoqCz0IXQpCemkzfbh2YNKw/lwzqTa/ObWiSnorRUHED3MMn/LcRRFyY2gQ+TkUhSJ0bSGBdgXtw4PRn8n4eDNtXn2FfvsS9LtoMhDrNIxiRF5l73Iui1RmRiyMYyWmQ4nE3tK9eQc4lF1H85ivgkK4TkUTLzqLg3jvIHnwOeXffTP59Uyh8YTb29WsCHuPct4e8q8fh3LYF65efuMtj6iRiqRed/RU1FV+nInOQPaMDU2I8jXqdwbEt/5K1c7/PM+3EiRMcOHCg3HU2S2+AQe+/zbHz5z+lK2UF6XLlaC549n53W8WZncP+S67Avrf8jpHC6/NRHc4ge0pqLUJwzj3XMeGrlzHGxXpvmQl0A6pR3lqJRCKRSCQSyUlk+jOJJLTcBYwEGgiDAWPffli/+SrSMblISsI8+ELUY0exLf611N21rCyyr5lE/KPTibnENaAvdDrqTruNOtddwcGp/0fulwurOupyoxYW+awrKXVQjx2PUDS1jyPX34rzxH+JveB89A3qI4RAczg4fO3NfvdPefQhdMlJ7nXb2rXhCtU/0Zr+zBKLrmUblJZt0LXr5E5lJgJ0uHqjOeyQcxxt/060bX/B6l/hyN4wBF1KXMu/R5w/DoCY0aPInTEDNTuAOK2KKPruf8ReeikAom4aJKdATUkbFmDQW+KhuqdAAzj6+GyafecaIDQkxtPoxglkzJ1fylG1DOlU5B9vsZXmBFsh2qr5cNbYMot56iTGUycxni5tmqFpGseycli7dRf7Dpev3XU8O4CYyWQBvQkcYXRWq8J7Y2AdUODvpRQVVZz8KdeTvHQDwuQamBcD7kL7+p7wfp/8oB3ciGh/oWslvSko+sq7PIaarv3cA8tqXh55N14BTjkwXJ3QMo9jX/Sje734rVcgxoKSkgpGI7r0+iiNm+Hc9S+OdWvcYjDHhrWouTkoCYkIIRg86x6+vvr+SF2G5BRUu0e0pw/g9BtNtDi/N4rO1d7Y9cufWFKTaX+xa6LGSZcioMxCIEUIWjZo7HebLb+QjOXrKxdwLaX18P6Mfucpz32/sIiMCddg3ep/wlipeLVRNFW+c0p80ceYGffZHNoM6+9dnAdMBL6LSFASiUQikUgkkjIRRSOmEklUUAwsOrliaN8xgqGUYDaT+OZ71F2+loTpM0ia+zZ1N27DOHBQ6cfa7eQ9dB950x9F8+rg0iUl0ujNF2jx+0KExVJ1sVcAtbDQZ91bsCIJA6rK8Xv/j71n9GZ3l54cGDuRnY3bUrxs5Wm7Gjt1IOnm69zr9m3bKP7px9P2CyvVPP2ZSExG1+VMDCMuwXTrPViefpW4L38lcfEG4t76DMuDT2AaOxF9hy5+BUWa3YZ29ADqmt9wvj8D5x0XoF7dHXXKhWizb4WF71QLQRGA9tmL7k5IJTaW2MmTwx6DdckS1JwcwOUwYRx7WdhjCCVKar3Sd5K4qe4p0AAKl62iYOkK93rzB26IYDTVE6Gc4sgjceEv/VZRDiz/EO3g1gpUJ6hXJ4kLepffeSW/MIjrnSEMTg3eIuJQiIoCDI76OBV5Lwdx0Aq4RYqKSsfhwLb0d/eqaNgVMfoZMMVFMChgv8dRRugNiMvvi2AwAbB43Cy1zBNSUBQtFBWiZuxD3bUD+7IlWD/5AMfqFb7uUqqK7UfPmG2Xy0eQ1Ny/SEMSfrydinRRnv5MH2Om6bk9fMrqd+8MQF5eHjt3ll+o3zC1HpYADk67f1uJGiAtoCQwTfp2Z8JXryBK+j40m40DV95I0epKTPbyaWNWMkBJjcKcnMhVv71/qqBoN9AbKSiSSCQSiUQiqfZUvxFTiST6cY/EKA3853oPF/oeZ5O6bA2mfue5OwkAhMlM4ktzUeqXLb6iD94lc/RQrH8s9tQhBDFdOtJqxU+hDrtynGKvLIzR3RkXzaiHj1C0ZBkE6Nyr/8Gb7u+lWlBA1g3Xg80WzhBPJ9JORUKgNGqKvve5GC+ZhPmO+7HMfJm4D78h4dd1JPy8mrg3P8Xy8AzMV92I4bzB6Bo1CVidpqloh/ehfv8BzqnDUa/pgXr3ULTn7oSf5kHmkTBeXDnJz0H7e5V7Ne66a1Hq1AlvDHY71pUeQZxxVPjTsIUK88MzUXxm9soe3rJQ3VOgAWS+9o572dykATEtA98TaifSqcgvileaL+9nn9MOGxeirV0ABVnlr1ZRaJJevrRljmCCBSUMxro+KfJCITwry/fMj6jLX03SqahSFPzfNNRjnraOaNAZMfZ5iEmMXFC5h9G2/+KJ6byxUKd+kAMigNf7k+aIcNtcEnKK330dze76XBW9ntv/+YGL5z2LUgaHU0kVU4NSdzU772z0XsKouIZpJDZx3es2btzo+3wr42W3btTUb7nT7mDv76v9bpMEJq1LO6789V0UnatNqKkqB2+6i4Lf/gjZOTTZ9paUYElN5oqf3qZRz67exQuBnsCWyEQlkUgkEolEIikPUlQkkYQeT29cBJ1O4v7zX5I/+AQl1pOfWrV67P6FTkfyR5+UuT7njn/Juf5qsq+9EseOf93lxsYNqXPTNaEJOgRopwhYRExMhCKRBCP+0osxNPKI2nKnP45zXzVwyPHq3BS6Kv796vQordpiGDYG810PEfvaxyQsWkv8l4uInfM2Mfc+imnSdRgGDHGlMouLLyV0Da2oAO3ALtSlC3G+dB/qVT1Qp41A+2g2HNlftddTBWhvPIpW4hqhxMcTP2VK2GMo/PRT97JITgn7+UOB0qodxqFjfQtzcyITTJRhn/eme/lkCrTqRt6Pv2I/fBRwCX5bPnJbhCOqZsjZ0v7ReQ0e+0sHdXQH2pK30DYsRMs+WK6q42PL1/YqttoDbzSYylVXhYi0U1EFREWiGropVkuKC8ke3h/Hbo8jhqjbGjHmuYg6Fmkr3gPBCJkAACAASURBVEJzukQdQtGhTHstYrH4xdshLNKCf0nIUTP2Ufy25zun6PV0mjCMezNX0WbEgAhGJqkpKHo9zQf28ilL79IOIQTFxcX8vXET2Tv3ubcFFNB6US8pmaQA78MZy9djyy+oXNC1jKTmjbl25afoDAZ32eG7HyTva2kWIwk95uRErvjlXRp07+Rd/CowGjgWmagkEolEIpFIJOVF9kZKJKGlCXDXyRUtLzfsASh161Ln59+xXH6lz+BF9oefsKPD2RybPstdpmvYiLhHHy9X/balf5A5Zji2NZ6ZYHWuubzygYcKVUXzmvGumMMwGCUpN8l3eQa9bRs3UjR/XgSj8aB5DyZWhVOR3oBh2Fgsc94m4bf1xH/8HZZHnsY08Rr0Z55dqnDIFaOGVlyAdmQ/6qZlOL9+A+f0yahXnYl6/Tmo941Be+0hWPEDqFFuAX/iENpaz0zJ2EmXo2sc3hQN6vETnhUl+pwhdD37EvfBt6eV27/4IALRRB/RkAINh4PcBQvdq6kXnRvBYKofPuILVabwcaP3DCIR0IlEg0NbYcVHLoHRjmWQfyLAvlWEM4jgKFR4uzaF4rlZFlFRWZ2KAm6JvudRxLDZyB17AfYtG91FIrUlYvhToDMEObAKyTmItvI9TzzpTWHAuMjE4gfhLeazh+E3KAk7Ra/OoWjuC+5UwwCm+FgmfP0qN234Bn2AFFMSSVlo1KsrpoRY38KSx9bmzZspzMpBdZSvTRbIpUjTYNcvyyoSZq3FUi+FmzZ8jcGrr+zoI0+S88H80JxAuilKvIhJSebKX94hvWs77+LngVsB+XImkUgkEolEEkVIUZFEElruBZJPrhR/9WVYT24aNYaU35ahb+LpcHHm5HJg8q0cnnIfanYOJ+a8RuEyTzqfmAmT0Pc4u3wnslkp/uRj96qhSaNKxx5KNJun81s6FVVP9On13MvFP3xffazevcMIsQuArmNX4uZ/j+WRWRh6n4sI0lmvOR1o+TloB3ejbvwT9cePcc59GOc9o1CvOAP1unNQpw5Hm3kzfPYSbFsTopQt1Q/ttYfcQkFhNJJw991hPb+uiVcqqXJ2flcHDOcOPq2sYEB7yCl/WqPaSjSkQMtb6ElFakhJQp+UEMFoqhdCKZt4o9bhLSqyF5e+f0Em7PgTbenbaItfQ9v0Q8hCCTr2FI7PzFtUFJJUT0GkQH4vtgLXKAfsyk3epDHYN65zr4uGXRD97wpyRBWzZh7a0X/cq8q4CMZyKkbPQLMmnYpqJppG0SvPkzN6MNbvvnYXCyFI69KWe0+spOP46tnmqdHUhHu7ELS8oO9pxQ6rDbvdzpYtW8rttpcYG0daAMfYIxu2UXA0zILnKMYYZ+HWv/+HKd4j+jr+3MtkvvR61ZxQtr1rNQZLDLdu/R/1z+zoXTwTuBvpISuRSCQSiUQSdUhRkUQSWlqdXCj66gvsq1aE7cQJz79EwsxnEV72xYUr/2LPeUN9LYxL8qQ7c1wuSkIIkl57G4zGU6sMinO/x65aGPRB9gw/mteMWiGdiqolzkyPoCF28rXETJiIsXdviPSsWO9OrxCKigzDxhL7+jx0TZqdcjoNzVaMdngf6upfcL73FM7bB6FedRbqTeei3jsabdYtaB/MhCXfwKE9IYspaijKR1vyjXs1ZuwY9G3bhO30pr593Mvq4QNhO2/IOOV7bJ37dI0VoFUV0ZACrXD1WtSStA9CCBpcPbaUI2oRPk5F8rvvxsepyE/6s2AU58GBTWh5x/1u9i+cCYwxWDsyLAOsIT5HkBRqopznCpgSpiYMPEeAvKsuwbl3t3tddBwGHYdFJhjNibb8DU8sZguYI5eSzQe913uhdCqq0ah7d1Pw4F1Yv/7Cp9xgMXPxvGe5ZsnHGOMsEYqu9uH9/PR2X44m0ru2I7ZendM3aLB9+3asVn9tjuDagjYBXIoAdv60tJwR1l4Uo5Fbt/2AJSXJXZb19gccn/50BKOS1FSSmjfiwYL1xNb1uR88AzyAFBRJJBKJRCKRRCVSVCSRhJYtJxeEJTbYfiFDqZdGym/LMF803N0JpTmdHJ81h30jxmPfn3HaMY4DBzl894OeOuLiSP78m9P2C4Zm90oPEWJHl8riLSpSzNKpqDpyfPpM90CZLjWVpBkzSZn3CfWW/ImxZ8/IBeY9eBeKATshMN0yDcsjsxAGY8kpNLRDe3C+PwP1hr6ok3uiThuBNmcq/DwfsmRK+VPR3n0Sze6aKS8UhcQHHyzliNBh7NrVvexcszxs5w0ZXt9j5+a1OD5+M8jOEn9ERQo0u53CVWvdq6lDZQq0k/g4Fcn+aw9lSn8WHqrXJPYQBFOmKrx3CtzeCCwqKk9AEm9yJoxELch3r4tz74DEhpEJJvsUsbKtMDJxnIqXqEiToqJageY4/XMWQtCk71ncc3wlZ15XfdLz1WSEzuOcpzqjUwjd6sJ+fssVo56NG11pKDVVLfNzzGI20zC1nt9tWbszyNq1v0Jx1joUhVu3/o+EhmnuopzPv+bIvf+JYFCSmkqj3t24ce2CU4tzgXuQL2QSiUQikUgkUUv1UgJIJNHPbycXTP0HoKSlV+nJjIOHkLJoCboGDdxljsNH2T/mco7PfA6CzG7L+2ohOfM9MxINbdsRe1/ZB+qd+/a4OoMocTu64tIKXEHV4C14EjERdr6R+KVgwbfkzv/8tMEyXd26pHzyGSlfLsA0ZEgEIguhqMgcg+XJFzFffZOndlVFfe8p1HtGwU/zoCg/SAUSNw4b6g8fuVfNAwdiHnJB1Z9Xp0PfooUnjJVROBNWyNRPoSAaUqAVrVrjXk4d3IcW/3cLDa4ZS/LAXpibNqx2AuCwIX8D/jF4pz8rCrxfUOTf0z/B0p/5K6xATbX19xwKigvJve4yz3uMwYzoc1MpB1UNovMo97KmOquPm5q3g22ERYeS8CDi493Ljp07cXi5EutNRoa//jg3rF2ApZ7/FFSS0OAthI5Gp6I6rZqS1My/SPNIQQ75+a53X0ex1de5L0hzonXDJigBnnk7f4zCd7MIcfPGb6jTorF7Pf+HXzh069SqaRtL4XOtptVF53Lloncx+6bj/gfohXx5kEgkEolEIolqqlfOIokk+vkJOAg0EEYTsbfeQd5/qsZRI376DMyXjPexyC74408O3jAF5zH/6ShO5ch9/8HUvi3mrp0AsFw5mYJXX4Lc3FKP1XJysK9ehbFnLwASRlxI9gefVuBKQo9P+jOTTH9WXTl2xzQKf1pEnfvuwtCkMYrFY61vPPMs6sx9g9yZMyh49ZXwBaWGRlQk6qYRO3suuvad3GWazYo64wb4Z31lIqy9fPI82oCxiLhEAJKmT+foqtWoWVmlHFgJDHqflJLq8aNVd64wIBKSSt9J4hf7vDfRn+2aeW3u0A5j6xbY/t0V4ah88XYqAmj1+BSfdU3TQNPQHA7UYhvOwmKc+YXYc3JxZOdhP5GN7VgmRXsPULz3IMUHjmDdf4jijCMRGeiObd+SxF5dievYhpimDdAlxSN0CvZjWWQvW0vehm3krf0bR25p4kwpKvKLwUs0YCuuWB0BnpMB3XXKV0348BGeheC7HuT6y5saLvDfMtJ/tOhG3bYF6/z3MV92NQCi1blodZpD5u7gB4aS1gOgm8f9Rdu+NsjOYUbn5VRkk6Ki2oCI9YiK7Fv/Jufee4i/5z4sV12FUBSEENTv1oGpB/7g14fn8OeM1yMYbQ0mytspLS/o47c87Yz2rPj7b/d64ZHjGONLT/doNBhomtbA77b8Iyc4vH5rxQKtZVy38jPqdWztXi/4408OTL4VHI4gR1Uc7/dnpz36xHGSciIEqW2bY0lNJql5I0a8MR29yd2OsAHXAh8hBUUSiUQikUgkUY8UFUkkocUGPA68CmAaPpK8xx+BENrGK/XSSPpgPvpmzd1lmqpy4pkXOT5rTrkG/tT8Ag7ecAfNl/6IMBgQej2Jz7xAzvVXl+l4++YNblGRsXmzclxF1eIrKjIG2VMSaQoWfk/Bwu8BSLjuKur+92GfTqj4qdOwrViOfd268AdXwVFOpV1HYmfPRanncSrTcjNRH7pUpjarJOorD6Dc8zJCCHTp6SQ/9ywnrplcdR3wxVacR46gS3PZxOvP7IVty4aqOVdVofNq6hmkyLKinEyBJkpSaiaMGsbx2S9GOCpfitasR1NVRIDZ3EIIEAJhNKIYjegTSh/MOYmmaWgOJ5rNjrPYilpUjOZ0oqkaqKpL+OAs+V9VXeIltUTEVBKT0CmgKK74dK4YBcKtjRCKghJjQp+UgGIyBhVfpF96kSc2VUW12nBk51J84ChFO/aSu2EbuWv/JnvpGqm98IdOjzB6OTkW51SoGiF0fstVtXz3ZEUEcd0Ji6At1MKzcoqKgnzXA4qKpFNRpSl8+nFMYycgzK7fgmg3CG3ZG+E5eYu+iAseQpR89zWHHe3lqeE5d5nwFtnL71ptQMR6Urdr+flohYXkPvYIRQu/JWnmTPStXIIERa9n0FNTOfPacXx44bVk7dwXqEpJBdC8np+KPrq6a+PS65LWpe3pG4TAXieWzA2ZABRn5mAvKMJYhnZoqwaN0ev8tzWkS1HZuHLRezQ8u4t7vXDVGjImXY9mtVbZOYXXd1f1k1pRUjMwWGI464ZL6TnlSpKaNfK3Sx4wAvg9vJFJJBKJRCKRSKqK6HpLlUiig/eAOYBRiY1D37I1jm1/l3ZMmYi5+lri7nnA5yXdcSKTQzfeScFvf1SoTtuOXWTOfYeU224AwNjrnDIfq5044V5WLDEVOn9VoNm8REVmmf4sWsh98z1y33yPhEkTqTv7CYROh9DrSfl4PkULFlA472PsmzZWbRBa5ZyK9AOGYHlstlt4AKDt2Yr66JUyfUQo2Pgn2trFiLMGAGA+/3zip00l7+nZVXZKb1GRkl6/ys5TVYh4j+24VlwYwUiiH+emNeh79AVcKdCqm6hIzc3Duu0fzB3aucu0nCyIS0AEGJApK0IIhEEPBj262OrzvAeXGEkXY0YXY8ZUvx6J3TuRPmEY4BJk+Ig4qktqoUhT4vjmJiujYvUEEBuo5XT7UZRg+b/CMMM91CnygjoV+ds/SFXlqkhSXmzLfsc0sCTdbtNeEA5RUYu+iIseQ5SIfjVVRX3pbigs3Sk2bHi1WYVBdhnVBoTRIzzXij3udfY1f3Fs2FDibruduJtudk/+qNOqCbf/8yMrX/yQH+98Iuzx1lRUr5Rnii66BH3Nz+/tt7zDuAtZ9OcS93regcOuhVKeYzpFoXl9/6nUirPzyFgZZRM9IsD4BS/RfGAv93rxxi1kjL8GraBq3wl9RUXSqagm0mxAL8Z++DTxDeoF2iUbuBBYGb6oJBKJRCKRSCRVjewhkkhCTxGQAbQAUFJSKl+j0UjSR59h7NLV90Sr13Jg8q04Dh6qVPXZb3/gFhUJoxGlXhrq0SOlHufd4SiMhiB7hhkvG2dhlE5F0Ubuh/PQNUgn5Z47ARAxMVguuwzLZZdh/+cfrD/9iHXpEmzr10NxBVO2BMDHEaCcLgCmq2/GfItnlrmmaWjLvkd79YFQhScBtOfuRHvpF0RSXQAS7rgDx787KPrqq5CfS8THY2jTxr3u3PFPyM9R1agZeyIdQo3BPu9Nt6jI3LEdxlYtsO2oXinQilatdYuK1P27sF0z1DVoE5eAiE+EhCRXGrz4RIR7OcklPotLQCQkIpLrQnyCTyqUSKEV5KEdPoB2/AgU5IHTgUhriGjQFOqkBnRlOslprjChSG1VE7B43AE0TYPC7IrVE0hUVE6noqApwcL9mYXkfGHI7iA1RSHB9s2XHlFRSnPQGcBZha4K6R0RF/7HIyjSNNS3HoaNS0o5MMz4iDFltpJagd4jPtacp4gArFbyn5lN8XcLSZwxC+MZZwAuUW+vKVfSafxQ5o28iYOrN4Uz4pqJ17toZQXh4cRgiaFRr66nlSc1b0SB087BgwcBKMrMwZpVNgFls/SGmAz++3J2LVp++vdU4sOwVx+j3ejB7nXr9n/Zf8kVqLlhFrBGeUo/iS/1Ordl4PQ7aTtyYLDd9gJDgO3hiUoikUgkEolEEi6kqEgiqRo8U3/MlZ/Rn/zpVxjad3Cva3Y7x59+gRNzXg1JHnT7wcM+64mvvIl69LBLVKHTgVDQcnNAdYJejzAYwWBA19BjcSuqkT23ZvPMrlXMMt1PNJI16znQNOpMm+IzaGxo0wZDmzbE3XY7ms1G0ZdfkPvkE2ih6hzz7sgt64idwUjMQ09gHDrGqxoNdf7z8N27oYlL4oP68ESUZ//nuhcBybOfxrl/P7Y1a0J6nrgbb3C7nWmaiv370AuXqp5Qp/WpvahrlqNZixEm13ciYdRQjj/zUoSj8qVw1VqSr74MAJFWMrtb0yAvBy0vBw7uK7vcQVHAEoeIi4e4RERColuMRIzFNfiuKK6UaoquJKWZK8UaigBF51rXKa5BadXpcgpSneBUOSm80DRXmjQ0DazFaEcOoh3OQDucAXlB0nLp9C5hUWo6ol46on5jRIPGiPpNUM7o6Veoom1fX9arr9koIRqoNPp3gwyYsisAQZ2KwuEu5S2OCoWoKMj1B0315reqQHVJVVEosK9Y6nY0E4oOLa4e5ByompMlN0GMeAqhd72baJqG+voDsPKHqjlfZfD5Tci2Q63A+7lg99+/4Ni2jRNjRxN7zWTip92DiHH1c8Slp3Ldys/Y/vUvfDb+blSbdGetKD4/tyhypGvSrzs6P65myS2bsH6jy2nYabOTtW1ngBp87zMCaN2wid897UVW9v6xujLh1nj6PngTZ9043r1u27OP/RdPwnkiM4JRSaKZlLYtGPbKIz7OVyXYgJeB54ArgDbA/+GaaCuRSCQSiUQiqWFUHxWARFKzyDq5oCQmBtuvVExDR/gIiqzb/+XgTXdi3bilUvX6YPedkWvo3BnoXL46qtFMOs3bYllfjRyUJOUi6+nnyXnzXVIeupe4sSPRxfu6ZgijEcuEieiaNydzwvjQpywpg1ORSK6DZdar6Lue5anCYUd99g7YuKzy8Uj8k3UMddbNKA+8gVAUhMlE0swZHB00uPRjy4hlwgQSpkxxrzs3rYdoTB/m/T2WqZ8qjXPjGvQ9+gAlKdCqmaioaNVa97IwmiCtIRyp4AC5qkJ+Llp+LnAgHN4r5cPpgGOH0Y4dRtvqu8n0s6dAfesJ13UcPwTb14U5yGpKqERFOv9tLLW8oqJgQptwOBX5pD8LQX0hFGEEEhUFdXeSlB3rKY6XRkvVnCeuLmLULESM671Q0zTUj2dVT0ER4C1a02TboXbgPUHIEcStS1UpeOtNin/6icQnn8LUrx/guie1Gz2Y+7NX8+NdT7Fm7vwqDriG4nXPV8rpmhsphKLQrP/Zfrc5FNi1y+XqWXQi+5RUWIGfY43qpmEJkMZ+z+KVOK1SuBaILleOZuD0O93tBMex4+y/eBKOQ6U7kUsk/uh+82Vc8Mx9GGJO+01uBCYDJ2d2PRnWwCQSiUQikUgkYSc63lIlkugj/+SCCNAZUlbMF49zL9szDrDn/BGhFRQBGCovvLFu/zcEgYQI7wEonbzNRTNqVjbHpj3I7hadyBg9noIffsaZmekzyGbq2Qt9hw5BaikPXoN3pYzXKS1aE/fOF76CooJc1PvGSEFRONj6F+r7M9yrhrZtMfXvX7k6hcA85AJSv/yS5KdnuYs1h53Ch6cEObAaIweeQ4p9/lvuZXOn9hhbtYhgNKdj27kbh9csZN2g4RGMpnqgbV6F9uf/pKDIm2DOQCHA4Yi2lCTeoqJQxB5YVOT/lhx4/4BbomSwudpz6t/RHtq0ugDEJCPGPItIqA+UpMf9+SNYNC/05woVPn+XaicplVQB3s6wZUkr5dy/j8wrLid72t2oWe75VBhizAx/7TFu2/YDdVo3q4pQazQ+QtIoacKnd+tATHKC323bd/yLWiJMPO17FcRMtXWjpn7rUx1Odv+6osKx1nRaDO7D6HeecguKnPn57B9/NfY9+8IbiHz/rBHozSYu/fIlhr3yyKmCogxgJHAGHkGRRCKRSCQSiaQWIJ2KJJKqIfXkglZYAWcLoxHjeQMwDTgfQ+cu7mLbrj1oRaHv7BandKgXbdiEbf9BcDjRVCeoGvqUZBACzWZHs5f8s9rQbDZs+zI4/sLrIY+romhOj6jo1GuTRC/Ff67g0J8lnYhxcbTctdndYWZo2w7HlhCI7co4bqI/5zws0+cg4uI8hx7ag/rQeLBVwYCUxD+/fII2+gZEkuuWa7n0UqyLF5e/HqOR2IkTiL36agytWvls0lSVwntvhqOHAxxczZFpS0KK+tef1T4FWtGqtcRfNAgA3Zl9cX40N8IRRRr5GziNUDkVqU6/dRXbgrhcVEdEiNNEBqmj3A5DgeqSA3YhQX/m2b6fScHx0J5AZ0CMeBKR7Enjo61ZhDZ/dmjPE2p03q41lU+1LYkCvB2pyvH+XPT551h//ZX4++7HMn6CuzylbXNu2/Y9Gz74mq8nPyjdMsuIt/BGqUbp5YPhJx0SAA6nk7+3bkWYXemqFT/p0fxRL6kOSXHxfrftX74eW15BxQKt4aR1acdl373u7v/S7HYOXHUT1g2bIxpXeVPiSiKP3myi2+SL6XnnVaT4ikNzgCeAl4CiSMQmkUgkEolEIoks0fGWKpFEFwag68kVx86yO/iYxlxC3O13ojRo6HfQQZ+eFpIAT0WzWrHt3ouxuWtGmKl9OzLf/ojs9z+pkvNVOd6dllHSGScpJ/n5rs+5JO2e8/ixsJ36/9k77zApivSPf6onbo6kJS45CCIgCCoGMGBAMWfFiPk8w3mmM4ffGU9PPRU979Q79dRT0YNDT8wIiAkFBcl52WXzTuz6/dG7Mz27M8PO7uyE3fo8zzxT1d1T/U7PTE931be+r/2M83Fe+TtE476llMjlHyMfSVMnmzRH/3welqPPA8A+eq82tVHw4B/JnDWrZdtVldRfeyH6j9+1J8Tkogae407Kp0D7+ruAqEj0HZDcYFIBXQ1mtCBeLiQRBooyHPa2t5kMQs6Tccl/FmVXYc7JbdlltJRxilbjOPHUQFnu3gje+I6RiYOuRvQMumnqPy5GPnldXPfREQibI1CWbncSI1EkCmkSjwlbbOdwvaKCqt/dQP2rr5J3zz2B1O1C0xh77ixGnHA486++m29feDOuMXdGdNPkqNaKcJJJXv/eFA7qG3bd5rLteLI1HI2iItn8esx0DWH+axwawaVISli78PP2BdxJye3TkwsWv4rF9J3ZdsV11C/6LIlRKdKRgdOncOSfbqHbiEHNVy0BTgDamFdboVAoFAqFQtEZUL2RCkX8yQECPXH+9ev3+AKtdCBFH3xC3v0PYundJ+Is5oaly+MVYwt2P/NCMB67jZJH76N04Zto2Vkdts+OIsRaWzkVdUoc++wdEPUA+H7+Of47af47tNnJuPV+Mn5zU4igSP/3s0pQlEy+/TRQtA4YAE5H5G0jYO0f2nmt79pBw92/p/bIfdNbUAREzS2gaBPNU6B1u+U6LAX5SYwoFNdPq4KVvILkBZIqSOWO0AKzu1BbTwvCEupmYsLl8cTUlB7tM/InwiUlkU5F0XffHD2iU1FsISnCYz/k8GBlfXxT6ogDLkPsdWygLreuRT40J6776DDMqbE9SlTUJTCLitooDPUu/5pdxxxN9V13oNcGssHjyMniuOfv46aG7zl93jMUtxysVjQS6lQUJ1fBDmTg9MkR162vKMOelRGoe+uaiTZD/t+MP7W8rGy6FxSGbW/7tyup21ne5lg7K/bsTOZ8/25Ieqodt9xF9b/eTmJUinRCaBqTrj6XK9cs5OyFL4QTFL0C7I8SFCkUCoVCoVB0eVJ/6otCkX5UAzqNoj2tWzf8NdURN86ccwVZV10TIpAAY7ag+8dVuFb8hGfNWtw/rqJu0acRWmk/u5/5K5aiQoquuRxhsSCEIHPCPgz55mN+HjYxvSzLTbPgmh9XRecgc9rBgbJv82b0HTvi03CEwTtRUEjmA09iHTshuKnfh/7nG2HJwvjsW9E2Mkwp6Lxe8MY+AF338svYx40L1EVRd5w33onjyt8hK3ahb1yL7/vl+D//CH3D2riEnTDi7sCh0Jd9bszoFxrCotHt2sspvvoS6j//iup351MzbwG+HYlzT2uO+6egyFJYrIawqGp30uJJOkpU1JJ4nBeiiFpi1eXU1kdJG+qPTaDUJkIORxy+L4kQcCoXunbjmD0nkMoSQP74XnwatmcjDrkGMWx6sG1XPfrdZ8Wn/URgCYqKlFNR10D6TGkr2+P06/dTN3cuDfPmkXvrbWQcExTW2ZwOhh59EENmHMgHNz7IF3+cG6WhrkmIU1GKOy47C/IoGW+4xGo2K0LT8LuN/2yttBdZsjKYikvXcVdUhjbQUlPE4N79iMSv/1WuO83RrFYu++l9MgpyA8vKH/8Lu59Svy1F6yg9dD+mP3A9JRPCOj7/FXga+CqhQSkUCoVCoVAoUpbUvktVKNITH7AaGAZgHTYC/9pfW26VnUPB3/+JbeSokMWuH35i14OPUffBIqQrsZ24u+57mNqFiyj584PYBw8EwFpcRPffX8POex5KaCwKRTRspQMCZf+Wjp0wpQ0eRtaDf0Er6RNYJutr0W8/G7ammcCkEyImHhYo+zZuBLNTWSup/9cbZJ1xBvbx4402hQCrDZGXD3n5WEoHYzvocLjyRqSuBweMw6axaeohl0ZZ1wMP6Xbhee1FPH99KuYY44JyKoob/hXLsY6dGKgLq5Wsg/Yn66D96fl/d9CwdDnV78yn5t35eDcldlKnd+NmdJcbrdG1S9t7IvonCxIaQ7IJcXxU6c9aosVBcB3lsKaf3sXsVBT7f0hLojgVxWgxJCM6FaXdQU45Ms65MFCW676EivXtc6qtjQAAIABJREFUbLAAsc/JMOpoREbQvU66Xeh/OBVc9e1rP5FYTU41MTqPKdITYTW5U3m9kTdsJfqOHVRecTn1//wnOddcg318cGKG0DSmP3A9vfcdw+unKLdXM+nkVDRw2mSEJhhyzCHklHQHQPf6EBaN/y5ciGZyjK7ZvB1fs74t2cypyGGz06dbj7D7qlizkcp1m+P+HtKdi5e9QV7fXoF61WtvUnbH/UmMqBF1iZLyWJ0OjnjkJibMOa35KgksAu4D1Ow5hUKhUCgUCkUIKi+QQtExfN9UsA4d2mKlberBdPtiaYigSHe52XHTnaw/9Bhq5y1IuKCoCdey5aw7+KgQV6Tc449OSixtJmTGuRpM7IxkTA4O5vt+XRMoi9xcbBP2xTpyJFpRkbHQam1jGjyB9eDDyH7utVBB0bb16FdMU4KiVMBqR+x3RKDqWbKkbe3oOuVz5uD67PM9bio0zXBzs1iMcvNH0zqLFWG1IewOhDMDkZmFVlCE46LfQGbi0kqqceeOwfvyMxHXCU0jc9IEet5zC0O+/4zS/71N0TWXBsS6HY6UeNdvDMYzbHRi9puyqOuAFoS4OLbx+ERx9ImUxjcS3Qvz2hZDvBCma4R4fF2iCq5iy38W8TJWqNv49mCbdgRafjA9pPzm1fY1mN0NcfqziAlnhgqK6mvQb5kFZZva136iMaU2lF4lKuoS2DvGncrz2aeUn3gCOw+eSs2fHkM2GCmwhBCMPPlILvvpfayZGXtopeuQLk5FFoedfgeMJ7d/Cbm9eyCEQAiBxW6juqaGjRuN61Cp61St30L1+j0L7Et7lWCJcM++9oMv4hp/Z+DM+XPpsffwQL32w4/ZduUNqdH/ZfocpRL3pxy5fXsx+7NXwgmKXgH6A4eiBEUKhUKhUCgUijCk7l2qQpHerABOBrAMHByyIvv2u8g47ayQQQXXjyvZdslvcK/8mVRANriofuMdsg4+EABr9+IkRxQjpmMr0yltm6JVOMbvg7VP70Dd85lhhe48cgZ5Dz6Elm1Kh+X3B1Lg+cvK8H69jJonnsC34ofwjZu+L46LrgpJnyelRH79EfLRa+L5dhTtQLv1+cDMaun3U/vU021uS9++g/LTTwenA2ufvlj69cPaty/WAQOwDhuGbcRwLMXtPxcKTUPrUYK+bnW722rdDpWqqCPQl3yKdLsCqXP8K5YjbDbEoBGIZoNAGfuMIWOfMfS47QZcK3+m5p35VM9bgHvFyg6Lz7NpM47hQwDQevcnHt4raUPzASl1HdASk2Cg7YNP8XPjiXX7uBPibBWHX0usgqson4GMdJzVub1dZF79u0BZ7vwZNn/T9sYsNsQx9yKyuwXblBK54kvkY1eBHnta1qRjFh62Ia2sIg0xD/x3gGjRv349tQ8/hOu//6XwmWexlJQA0G3EIK7d+inPTTqZ8p/XxX2/6UaIU5EldcWj/Q4Yj9VpJ7tHy3ujH34w7rMbyndTtW4zvmgpThvRNI2BvfqEXVdfXsn271a1L+BOxvEvPsDgIw4I1Bu++Y4tsy8FX6qcr80OkEpUlEqMOOFwTnnj8eaLvwauABYnPiKFQqFQKBQKRTqhREUKRcfwU1PBNm6CMcCVm0vhP9/EWhrqVFDx9POU3flAXGcExgO9viFYaZPLS/IQ5nhVJ0ano/A3lwcG5XwbN+JaMB9LaSn5f3ocYbeHbGsWBVm6dcNy5Awc0w+jbu5z1D76SGC2bABTR1xzQZH+ryfg7ec64B0p2oK45C7EoKADS/1rr+FbF4fBCJcb35o1+NasoflZWSsuxtq/P1gt4NeNjn9pSoemGe5FaBpYNITNjrDbERkZFD71ZLChRiFKIrCMGhusqPNhXPH/sBzrhCkACGcGnjmzANAOOQbrcWcghu2FsIWek5wjhuEcMYxuv7sa96/rqJm3gOp35uNa/l1cY/Nt3REoi6LucW075dGa3d6o731L4iIqwtAVhdG2xKp3iSicSRghFpdxaC+K4Cqwq9btU6U/iz/ayNFoffoF6nJ5O12KBk1FdA8608q1K9Cfuh7Kt7Wv3WRiFpX4U2WQWtGhmD9nW8d1E/pW/MCu446l4C/PYB9npB125uVw2Yp5vH7qb1n1ZudI1yo0jXEXnow9OxNvQ+gdhRCN/RVCNDqdGg4/FrudvP4lIW2kJEIwcNpkACrXbabn2BGBe/Ot363kq3kLqC+vbJHuLBqDBg7Eub4i7Lr1H32lruVMTP+/6xlz9nGBuufXdWw+7XxkXQql2DRP8lOfXUrgyM1m5tx7GHnSkc1XPQFcBy26PhQKhUKhUCgUihYoUZFC0TF8DPgAq6V7dzIvu4qsiy9FOByBDfy7K9l2xXXUzv8gaUFGxTSzX3M46PXw3WgZGQin0xgsb+wIQ9PwbNjIjlvuTZ2ZUULNjOrMWPsHB4K8K1aA30/WOeeFCIqklBHTrwirlexL5uA8+hhq7rsX1wcLoUnU52wp9pA+L/rDV8P3e06NpUgAVjvi2sfQRk8JLPKuWkXVH27v8F3ru3bh2bUr5teJnJzQBQ11cYpoz/g3rMUywhBfiazsPWytiAXvq88HREXa4BGI3v2RWzagfzQPz0fzjOX7HYzlhHPRRu0TcDVqwjGoFMfVcyi+eg7ezVuofmc+1e/8h4Yly9v93+XbWRas5OZH3rAzYrWE1qO4xnRZrME0N+37roVXFcWa/izqgJPQOv4zNAso4uJsFU1UJJoKps1j/wyEpkRFbSXrd38IfA6yejusWdSu9kTvvQNlWbEd/e6z2tVeSmBOXZMq93eKjiWBt8x6WRnlp59G3r33kXniSYCR6uuUfz3G5w88y4e/fyhxwXQQ4y8+laOfuj3ZYXQIvcaNIqMxbWl9WQVS1wOTcb5ZvITqLTuivTwso0aNYuv6T1ss97k9bPx8efsC7kRMvvZ8plx3QeA/zLttO5tOPBv/rvIkRxaKCHEOV/1xySarexFnLZhLz7Ejmq96ArgyCSEpFAqFQqFQKNIUJSpSKDqGMuAD4EiA7Ct/E7KyYelytlx4Jb7Ne84tnzRMAzjCZqVw9plRN3cMHMDGU87v6Khah3Iq6tTolZWBcsZRR6G99AqOA4L239Wvv8XOy36DtW8fbANL8VdVodntZM88irzzz0HYjMFUa58+FPz5SaTLhWfJV0i/H2ufUNt1WVOJftsZUJbCv9WugmaFE+egzTgHYTcJNHfsoPyii1q6TqUQIiszpK6Xxd7Z3uZ9ZwcFTYncb1fASIHmDgiGtalH4v/HX0K3WbwIffEiAMTeE7GefD7a3vsiMrJCtrP16U3RZRdQdNkFeLdup/rd+dS8/T71X33dJpGDvzw421tkdjExmdZcVKSuA5ojQkRF7RDRSB2EpcXi2EVFUVYK0fGD3SGmQXEQFUV5Q0JokFWIsNojbmNGj9iWEhW1Fetgk6vQd2+2P+Vdj+Agnfyxk2QOMZ9HlVORoiNwu6m69rf4fvqJnJtuRlgsCCE44MaLKdl3NH+ffl6yI2wXY86e2e42qjZujUMk8WfQYcGJHT3HjUJrSjXu97NyVeypfXv27Em3bt0I9243f/ktvoY9p0/rCow553gO++MNgWss/+5KNp10Dt5Nm5McWRjUJL+UoduoIZw1/zly+/Q0L94F3A60PXe8QqFQKBQKhaJLokRFCkXHsYBGUZGZ8ieeoeyu/0sdV58I+Mp3x7S9Y8SwDoqkDZhnb6f4cVbETvm9D9L7ndcCHWpmQRFAxcNGjnjfps34TJ1sriXLqHjoT/T6+1ycE8cHXi+cThxTD2qxH7nhZ/Q/nAU+T0e9FUVryCtGzL4Zsc9UhCX0ssW3YSO7zjgD/8aNSQqulTSfoZlAhwmRVxAMY2Mc0sMpQvD/8HXArchyUEtRkRn53RK83y0xKsNGYzv1QrRxkyErJ0SEYSvpSdEl51F0yXl4t++kZt4Cat77L3WffwVeb+viqqoOVkwivC5B83QhajCjJSHpz+LvAhRz+rPoqqJ2xdI64pz+LOT9CMjvBQV9ILMAVnsQu3dH2b6VqPRnbcd8jqiOQ4oyZ26gKLesbn97qYD5GKl7KUUHUjf3OXy/riH/T0+g5Rq/pYHTJvObjYt4euzxuCoq99BC6pHVvYg++wXTD+t+nYamvhUhjP+8xodRBt3nw+/zk9+/JCDSqd60PRnhR6VgYF/yB/QGwJ6TTcmEvQLrfvz6G6rLYnfMGTNmTMR16/7XSYSa7WTQkVM5/oX7AvcLel09m047H8+qX5IcWQRU+rOUoO/+4zn93afIKMgzL34IuAFQVq4KhUKhUCgUiphRoiKFouP4N/CIecHmMy6gdsGHSQonNhq+WkbFk8+ROXV/pNeDdLmRbjfS40X6/SAlOUcdHtg+1lnpHYkwza6VvnbOPlakHK7FS6i470EKb7gGYQ39G/NXVOBb82vE1+q7K9lyzIlkHTmd4vvuxNq7JOJ3V79dCYqSSm4h4vL7ESMnhv2M6l5/nep77kUvTy2797D4m52HtMRdfok8U+qr8p0J229XIVIKtD3y8w9477zaKPcfjO30S9AmHgg5eaECo57dKbzwbAovPBt/VTW1Cz+i6s151H7wcVSBkV5rSrHXPB1YZ8fS7P3GJZ1VJ6ODRUWxjh9Fv4ZMwGBUSPqzOAgo+oyB/uMhqwhszpD3Z2n+/YSoByziYFwKXXenHSGarzgcR7vJjbAm/QQQYTFdp0iXcgnpaiT6vt69aBG7Zh1H4bNzsQ4cCEBe3178dtMi/nrw2Wxd+kNC42kvw2YeaqSKB3Sfn7tsI1v92hsqlgQFACl4nh84PehSNOjw/QPfFZ/Hw0evvhVze7m5ufTv3x+/p+U9984Vq6nbmQb3eR1M70l7c8a7Twe+U9LjYcu5c3AtS+G0cHHWaitip9e4UZz5/jM4cgOOtTrwW+BPqE9FoVAoFAqFQtFGlKhIoeg41mPYyhYD7LzzgbQRFAHg97Pz1rujblJw0bn0uP8OgEBKqZTAoiz7Ozu7H3mC3Y88Qe65Z5J75qlY+/TGt3Ub22fPadXr6+Z/QN38DyAzk7yzTiPv4tnY+vUN6UTXrvsz+sNXgTt102p1VsTZv0Mcdlqg87QJ6fPhmr+Amqeewvv990mKrg00FzUk8HxpFhXpO+PgyKAIoTUp0PbIhjV477/eKPctxXrGJVgmHgS5+aFihLxc8k46jryTjsO/u5Ka+R9S++HH1H3yJf6yXSFNSrc7WGmeDqyz08zRrCNEM2mPNU6iojgNeCZbUxQSQHNnudaQXQzjTkQM3h8K+7Vw1WuO1PXQ/7eooqIIK1JwsDl9aOYk1V7M6dOsKXQ/1B5M91JKVNQ1kD6TUNneuvSM8cT/66/sOv44Cp74M46pUwGwZWZwwZev8d6c21j+3OsJj6mtDD8hOPFq54oUdZJpAxmF+fTcxxBIWRx2MoqC9xjfzv+I8h2xT14YM2aMca0b5r/u14VftDnWzkLRsFLO+/gltMYJAlLX2XrZtdR99EmSI9sDyqkoqeT1K+GMUEGRGzgDeDN5USkUCoVCoVAoOgNKVKRQdCxLgRlAp7SO1+tNYgt76nSiC0twoEY5FXVuql98meoXX257A/X1VD3zPFXPPI9j3/GUvPoilpwcAMSoiYiL70A+fkOcolXskeIStFtfQBT1DFms19RQ99LL1D7/PPr21EsFsCdkc1GRNUGXX5qGyAnanQtbggaJsrKxHno0ov9Aw03H7UI21IPLBX4v0ucz/hP9PqRfhx1b0H9ekZjYOoBYUqDtkU3r8D1wIz6Akn6NAqOpUFAcKjAqyCf/9BPJP/1EANyr19Lwzfc0LPsW1/crAiIngy4mPrCo9Gd7xCx8aJeTU/jvVnwHkBLhVGR+H604HpoVRh4Go45A9BoO9qyozh5S6lBfCTW7YPvPsG0zsmQkwrLna2cZ6f0rUVHbibdTkavaSG0HUNAz+rbpglmM6kqMuN46cTK2KVMRVpvxuTT/aCSN6aJ0wwFSysZn3RADNqaSEppmvFZohjhKM55FU9nnR/p9xmv9PuNe0esxxLgeN9LrRTSlqPL5jHOkz2u81mozJtLY7EYqW00z9iMlctdOZEMD0u0yrncgZP+A0ZauN34HJYE32fRehQh+J5s/QyBlVtN7lz6vcZ3l8yG9XmMyTdN6XRrLvB7jusvvC8araQhNBMoIEeKqKZzOeH2sMSGrq6iYfS65N99C1vkXAKBZNI555i56T9qbdy+6JSlxxYLFbmPgtP0C9W+efyO2BkznJ5HAdMmtofTQ/QJfx+IRgwL/e36PlyUfLoq5PbvdztChQ8Ouq968g/Kf17Y11E5Bds9uXPz1m1gdwfu3HTfcRs1b7yYxqlbS/LylSBjCYuGElx8ku0dx0yIfcALwfvKiUigUCoVCoVB0FpSoSKHoWFbRKCqyDSxNcijxxywqap6GKqmYZn9L5VSkaCXupV+zbuQE+n26EPuAfgBok45AX/o/5OL5SY6uCzB5Btqcu0McHvSGBurmPk/N008jq6qSGFw7aZamSrM7WjNs3W5Edm6IG4bjujtxXHcnDbdehf7JgrjvT5t8EPaLr0MrHRJz6gz/t0twXX123GNKBC1ToA1Ablnf/oa3bsT34M2GwCivAMtJs7FMOwbRrVeL4+sYMhDHkIHkn3J8y3ZSa0yq4xHanrfp6sQt/Vl8REVRzxeJGIwKcSqKcDx6jYB9jkf0nwA53RB7+J7JhmqoKTMedeXgN/4HhKu68T21zh1JpT/rCOL8nXIFr09EUY/OkVPEdO3gPPdC7IfNQLoakA0N4HIh3S6j7jIENEa5cZ3LZYhzXC6kx20s87jB4wn7exaFRWTecBuOGccm8h0qopAsUREAfj/Vd96Bd9Uq8u6+B2G3I4Rg3IUn03PsCOZOPhU9hSdrlUwYjaXR6UlKyfJnY3NYMp/zmzu2JhOLw06/A8YH6t1HDQmUN6/8he3lu8K9LCpDBwzE2tiH1PzM8OvCz9sUZ2fBnp3JZT++hz0rmF6z7N6HqHzhpSRG1XqEcipKGof/8YaQ3ypwMUpQpFAoFAqFQqGIEymkAlAoOiW5TQXZ0PlSKJnfk7CmTnoVEZL+TKU9UcSAy8XG/adRumIplgLD0l2cehVy+SLwqPQPHca0U9DOuymkA9L9xRfsvv4G/Bs3JjGw+CD1Zo5piUor0dyxpRHHpdfTEC9Rkd2J7cyLsM48Da2weM/bR0Dba5/4xJMEjBRoLoTDGITTDjoC/yvtcCsKR9Vu/HMfxj/3YSjqjvWU89EmH4ro0Tv0Py8cXa0vv3nqqea/P0XoMWrP8YmTrkVEbSgh+c9Mu2u8bszIN0REQ6dC0QCENfp5WzZUwbqlyLVfwYavEVPOCb8n0bwA0dyRIo7FpdBgc9oR4lQUh+NYXxEs53dvf3upgOm42CZOiVuz0u0OOgK5jetqrahbckUsihCk358S4tyG117Ft3YtBU//BUuxcX1ZMmEvfrvlE57e+zhqt5clOcLwjDplRqDsqqzGF2P6QLO7aSqJivrtPw6r0/gfzCwuwJ4dFLss/u//Ym5PE4JhAwaGXeeqrGHrsvR1MG0vmtXK5avmk1EYdJut+MsLlD/0eBKjihHzJD91HZ4wjn7ydiZcerp50cvAC0kKR6FQKBQKhULRCVGiIoWi48gDZjZV3D+tSmIoHYNuFhU1H8RLJuZOjBSeyahIUTwetl90BSWv/x0hBKJbb8RxFyJffyLZkXVOJs8IERRJv5/qPz5I7ZNPdhq79BYD5lFcKeKJ3F2B542Xsc08OST1mVbSl8yPVjaOo4vGNBm6MZjelEpEsxqipKbUGEaLwcFYKQNpOsK5jEiPC7atNypWG9gcjelCLMH0GzY7wpHR+Ir0dt3w/7A8mAJt6pHxFxWZKd+J76n74an7ARBj98Oy/3S0vcYhSvpCZnboDOGKnR0XSyrSPM1fu9J7dVKs8XIqCk96nboFwpTqSRxyOeT1AmdO9JRmfh9sWYFctwTWfQXbfzEdy8ivC9tmlAOm0p91BCGqovY3V18ZbC0nv3PoODvoRywcjmbpOZvttqEOtm9qqgU/qpD0YI3pupquJZpShgnRuKEpRZhsTDfWdG0jZbO0aFajbrUaZYu1MfVb444D6cE0Y5nuD6Yw0/XgviwWsGcY102axSTKaXoPYb5zotni4FEIvyjkq9qUHk6EnAtidYkMh7BYUkbk5V22lPLjjqXg2eewjRwFQFb3Iq5cs5Dn9juFshW/JDnCUGxZmex93qxAffV7H8feiOm3p0WYHJBwhKD00P3QbFYGH3WQOa0SVWW7WPlD7AKgvt16kpER/nu27qOvDHFbF+XSH94lt3ePQL3q9bfYefOdSYwodswTHnRv1/0sE8m0e3/bXFD0DXBZksJRKBQKhUKhUHRSUkgFoFB0KgTwCNANQK+rp7YNM7hSHdlgmnmnpc7gRqhTkerEUMROw8ef4v76W5wTDPcUMeMc5P/egPJtSY6sk9Gjv5HyrElQ5HJRftHFuBctSm5c8aa5k0wCZ2y6Hrwd14O3k/XqAiz9gjOCQ2Y/Nw3OAdiitSbY0/ir3LQaufAV5JIF4KqPvvGIiVh+90z0bdKEDkuB1grkt4vxfbs4uEDT0MZNQdvvEMjOxvf0/yUkjpQhKzukqj3xH3A1GG5zHrfp2W2I35ota7ldU+qe8OtwN4Db1SHinA7Davqh620VX0cR3MQoq4g4Dt7R6oyCvrDPcaGx9BwWcXNZsQnWN7kRLQdPpHNc5MDDuTK1Tb+ROtfd6UaIPiMeh9Fnuh+yRP0TTQ80S+iA8OrvET4v2J2GaNPuAKvdEOJYbY1iHEtQTKM1iXtaL3KRUkcu/gD52PVKCBov7E7js7I7wZFhfFa633j4fSZxlCGUEhffhjZxmvHaFLqv92/ZQvlJJ5L30MNkzDgKAHtWBpcsf4t/HDuHXxd8muQIg4w5aybOvBzASPm04Nr7Y25DmiYe7NGJMkH03Hs4eQN6M+rkGVjsoee4r+Z/iN6G3+yQ3n1DFzS+bb/Hy8ZPl7U11LRn9mf/oHh48H6tdsGHbLvi+nRTayMcQYG/z+VOYiRdgwmXnsEBv7/EvOhL4BigOjkRKRQKhUKhUCg6K0pUpFDEHwHcDcxuWlD+2FP4d5UnL6IOQnebOghSaca0aVaf9HqTGIgindl61vmU/rjMmLFrdyCOOgf59weSHVanQrvhzwGXM+n3U37RRbgXtWFWb6pjDb3c0l2JT4cpnFkd1rb0euDbj9EXvQk/ftn6F4akdUivzvLmJCQFWquD0dGXfYa+7LPk7D/FEHlFhndkuHVx3I/0egxxkadRZOR2BUVHHpeR6qdpmcdl2qZxe48b6fMag71ND19T2Q9+r6lsXmd++IPlaISIitoocoySHkem4uCX1QlD9ochByJKRkJud8QeBCDSVQsbvm50I1oClVvbHYYIp2aJIkhLyWOZ7oQc0jicBfymew1rJxAVBRwEDeRjNyB3bmlbW85MyMyBrFzIzDYeGVmQkQ2ZWYZzY0MtfDF/z0JkRWw0/ddQ1frtm0ihtFsAsr6eyssuxX/zLWRfeBEAFpuVM99/hrfPv4nvXnwryREajDkrYFLN9m9XUr+zLf0/JlFRivSvlE6bzJCjDg4RFEldp+ynNSz7KHZRV7e8AvKzc8Ku2/j5crz1ib9PSgVOe/sp+u0/LlCvX7yULRdcblzvpRlmh1y/R/XHdSQTrzybGX+6xbzoB+AooDL8KxQKhUKhUCgUirajREUKRfy5FLipqVK/5GvKH3sqieF0HNKVmqKikFl9PuVUpGgbenkFtW/PI+cEw8VATJ2JfPWx0E53RduZPAPRIzhLtfr+BzqnoAgQzURFuJMwY9M061xf8BLyy/eDqUCstuBMdpsDYbE2OrgEBRGAKWVIY9oQvw8a6mHXljb+LsyD6u17e6lAQlOgKSKz8jtkTTUiJzehuxU2e2PqtfD7TfRVkgw4UfiDz7IxfY9JNCCK+sMNi4Lng6aUQU3PNKZH1BvFSrofZGObWYXBbUyv868oB1ERus6ckigkPZHEUtgdikobX68H29d90Gdv8HvA5wWf2yg3uW0A2Jxgz4LsQsjMN1KX5fWC7CJEdjFkFUBGHlhsrRqglTtWw+pPDTeirSuNWNr0AdD6Dz1a+rNo50Yh0s69IDUwHbN43L9kFATLneEa0ZEZWq9sx8QYV73xqNjRvpgUHY80i1lSS1QEgJTU3H0X+rat5N76B8Bw3Zw59x7qdpSzZv4nSQ0vr39v+h0wPlD/4o9z29ROyCk9BfpX8vqV0G3UYJz5QRHQ7jUb2PbFN6xZvw6XJ/Z7mqF9+oVdLiWs+zCGyQmdiGOfvZthMw8N1F0rVrL59AtCncHTCfN9ZxqKotKFvc+d1VxQtBklKFIoFAqFQqFQdCBKVKRQxJcpwKNNFddPq9hy9sVpObuoNUhXsJMjVWbSASGphmQnPfaKxFB20+1kz5qJEAKRkQ1jD4QlC5MdVqdAO+03gbJ35Upqn+kcabDCYmt2ueVKQgexedZ52RZY/1PETRM2RB2SXiP9B8aTmQJNEYp71kTE2P0QBYWQmY3IbHTGyMhEZGQinJngdILDabhL2R3Go1EYJGw2w2HMYjWl9tFCUvuk1HVPGITFCq3MnLInx55Y8dmzEZmtF+PYew1E9Ns77Dox5IB4hRUWWbsLNn6DXLcM1n0FNWVxalkHWg7Mh/3e6FFERdHOjZqm0vy2hdBR+/a3V9g/2PTWte1vL9k4g6JDKWXnEEop9kyaCBTr5hpinSZhkWaxcNo7T/L27Jv44eV3khbX6NOPDpR9bg8r/jGvjS2ZxV3tDCoOlE6bTGZhfsh/1+ZFS5B+P2u2bIy5veyMTHoWFIVdt+O7VdTv2t3mWNOVQ+++hn0uOClQ96zbwKZTzkGvTt8E/n3XAAAgAElEQVTMVcIWvK5UTkUdw/BZhzHzubvNi9YDR2AIixQKhUKhUCgUig5BiYoUivjRA/gXYAPw7Shj0wlndcq0Z03IZm4bWnYWem1dkqIJIkyD50pUpGgPenkF3g2bsA8wZlRqR56FrkRF7Wfw3lDYI1Ctfughw5WikyKap0NJQooPsw19SKqWZGKeCZ8eY1lRMVKguREOBwDa1CPw/0O5FSUL+e3ijv9aZedCbj7k5KHl5EFOLmTlILJyICvbEKNmZCIyM8GZiXBkgMMBTUImmw1hdyLyC4Nx+zxGQRjipeAzmAUQqSxq8sV47WVt7ubWQUifB8rWwpYVyC0rYOtPUNnGtE573JkMq1cJfG4h66I5FUX5FqfwdyBtaO8xzOkBvUYFqvLnr9sZUApgdyY7AoUiKt5VP4fULTYbJ7z0R7K6FbD40ReTEtPoM48NlDd+1o7zQAo5FTnzc+m972hcldVIKQP/X9l9evLrdz9QWVcbc5uDS/pEvH5Z2wVdiiZeeTYH3HRJ4Jj4tu9k04ln4d8RL4FzkjBNqPG5PEkMpHOS1aOYY5+9Cy14/bwDOBRYl7yoFAqFQqFQKBRdASUqUijigwD+CvQCkF4vW86bg79sV1KD6mj0ZnbMWkF+SoiKCEl/pkRFivZR+diTdH/kfgDE0LEwaDT8+kOSo0pvxEmXBTtP16/HtfCDJEfUsZhna0YdIO5IzM4Du7YlJ4bmiM7lVATg/+HrYAq0g45UoqLOTm218cDwpWkT3UtwvvK/QFX+cVqrWpMAVnvjwwk2B1jsYHU0PmygNTotaVYQlkbHJWtjCkMrVG0H3du4rGl580eTW5MNLHZDJCks4MyBvnsHRU+aRpMIyle9C+n2BIVQIQIpWtQ1vwfpaTDqQjQKDo2y0FpntyR1H3gaoKEK6iqgvhJqdyFryqBiE5RvgPKNRkq1JBLrGHH0vwwlKmoLIWmS23kMxejjA6mipM8Ln/27Xe2lBJqpiyhN3GsUXYvmE5uaOOKRm8jqUcyHv38oofF0Hz2M7nsNDdQ/vffpNrclQ9LQJfccP+CQSQhN4HO58TW4sGUa9xJ9D5nI598vxzh/tv4cYbdaGdCjJOw6qetUrF7f/qDTiFGnHsWRj90c+Jz9VdVsOvkcvBs2JTmy9hPiVORWoqK4IgQnvPwgmUWB1Ku1wJEoQZFCoVAoFAqFIgEoUZFCER9GYdzIAbDjlrtoWNIJZqruAb2+IaRuLS7Et6mDZnzHgLCYnIq8SlSkaB/VL/2DojtuwpKbC4CYMgOpREXtQgwdGyjXvfZap3YpAow0SklHRignEYv5uHSOwfGWKdD6I7dsSHJUilSmpegwhvOhz2M8iN0toK0Ezh65PUKcIc34tq8Gf+vfhzWrHn5s6eAma8qQn/+1Me2cSeDUJDySgPSDz914HFIIqRMu/5wId66LckqOmv5MORXFTOat9xrpEJuob4ejbEF/2CeYskau+KJzXM+E/DenyPWCouMJOZ+n9uduTsEupUT3+bE0OqMccOPFZHUr5N1LbkMmKD3kGJNLkae2jvX/WxyfhpN4jrfYbfQ/cEKgvvHz5QycPgUhBHUuF/X5GRSNHET5T2ta3WZpz95YI4g6dW+KuKgmiIGH7c+JrzwUEBTp9Q1sPv183D+tSnJk8UFrdG0F8DTrM1S0jwlzTmfgtMnmRdcD3yYpHIVCoVAoFApFFyN8T7BCoYiVqU0F148rqXzub8mMJXF4vUhTB5ClqDDKxgnE1FklfV2rg0rRMdR/uChQFoecCD36JS+YdKf3IIQptYZr3ntJDCZBWFrntNGhmMeHWun80eHUVgbLNhvapKmRt00TmlKgNaFNPTLK1goFYE5NmE5okcWSeozuJhZLhFvSplSNUjfK3gZw1UBDteFE1FBp1FNNUAQRHV7i6jyhNEUxYTvyWByzTgnU5faVsKmNk0AcOYgZtyMsxu9X+v3IF++KR5jJx3zNktraEkU8MV0bJkqM02ZM11lCCJ6bdDJek4PyPhecxClvPI7V6Qj36vgiBHudfnSgumb+Z+1rL0WcivpM3gdbZvB+rXLtJrZ/uxIpJStWrAAgo7gAZ3FBpCZC0IRgUEmfkGXCGvzOeZs5YHdmeo0byZnvPxMQZkufjy3nX0bDV8uSHFkcMYkUu5pgrCMZeuyhHPHwjeZFbwDKFlehUCgUCoVCkTCUqEihiA8jmwqdqjOgFfh2BvO9Z4wdncRIggiTK0gke3SFIhbKbr4j0MEu7E603/8FCrsnOao0Zfj4QNFfUYFvXed36hYpISoyjQymiqhozffIbcbnL4TAcfWtSQ4oPvhXLA+ULQcpUZFiD4SIitJoBD/KYKeux/Y+tAiOR2nt+hKTqCjy8Yqqz4p03BQt0Pr2J/uuBwPHXzZUIt+/FfQ2iCfyeiNmPYQoHhhYpL//PFR1krTXFpX+rEtivjaMwWkuGejlu5CmFOcDDprIE8OPxFVVE1g2/LhpnLVgLo68nA6NpWTCXuT1M1J6SSlZdMcT7WpPNwm6LHZblC07lmZOKABsXfI9K9/7iJ9//jmwzJbROuFW7+LuZDqcIcs0k6ioq6TIyi/ty/mf/xPN1F+17YrrqFv4URKj6gCUk2LcGTxjKqe+9YRZLFkHXEFa3TwoFAqFQqFQKNId1ROpUMSHwG9J2NN0xnkbca9YGSjnHndUEiMJEpJKxKVERYr2o5ftouqFlwJ1UVyCdtGdSYwofRF9hwTK/s2bkxhJAgmZ9Z+kfj/z4LM3Rc6Luh/5zrOBqijpizZuvyQGFB+8rz4fKDelQFMoImJKEZFWA/gi/G2kbMN7CJsSzGgt5rZSh/jEHv14qkG7VmG1kvu3NwKTDqTuR/7ndqgti/665ggL7H0i4oy5iO7DAovl6m/hrT/HMeAkE5L+LLXFJYo4Yr5WbYvYLoHoFRV4v/8uUO81fhTVG7fx2IBDqdkW/F33n7ov5338Etk9u3VYLMOPnx4ou6tqKFvxS7va87uC4hqzU1Ai6T56GFndwztQV+fY8JkEXZ7qula1OaR3S5ffEFGRp/OnrM/sXsSc794OcdDa8fvbqX7930mMquORMQrNFS0pGNSPk159FC14nq4FTgO2Jy8qhUKhUCgUCkVXJLJvvUKhiIUvgUsBco4/mh033YGsq09ySImh5j8LyT5iGgDOkcPQCvPRKyr38KqORdjMTkVdx0pb0bHs+v1tWHv1IPtow3lEjJ4M+06DpR8mObL0Qu7aFihbS0vBagVfJ+9ITgU3CXN6IVdD8uJohvxqAfK4SxA9+yOEIOORF1svSpDScDKRuqmMMc6uaUZBNHs0vc7vMx4+P9LvM9wrNItxnDSLsa2UpocOuvEsA/uSLbdpejahzTgZ/3MPxvOwKToRwp6uoqLwgpY2iYoiaorS6Hg0J6JTUaBk2jSKU1E0cVIq/LekATnPvoKWH0zRI794BjZ/E1sjRQMRR9yCKB4UslhuWIl+33lxiDKFsJrcUdRgcNfBfB6KIBpNJfTdwf4Gq8OY1OWqrObRAYdy2Q/vUDS0FICeew/n/C/+yUuHn0/Fmg1xj2PYcdMC5fWLvmp3e5764DW6Ize73e21hYHTW7oUAfQ7ZBL/XfpFoF67ZQdukztUJIpz8yjMyY2+UTr/37cCa2YGl//4Ho6crMCyXX98jN3P/DV5QXUkyqkorhz/1/vN351a4EDg2+RFpFAoFAqFQqHoqqR+b4FCkR68CVQBWLKzydxvYpLDSRw1/34PvdaYoSY0jV73JDl9jRCh6c8aUsSRQ9Ep2H7eJfjKgukttOMvSZ1UUunCojcCA6haTg7OaYcmOaCOx3xOSlqnuXm3qdTPq/uR8+aGLBJCtO6haQirFWGzI+wOhDMDkZFhPNsdCLsdYbMZ21gsxvaaZpTtDkRGFiInFy2/EJFXgMjJRWRmG693OBvby0RkZiGycoz1ufloeQVoBUVohcVoRd3QirujdeuB1r0XWo8StJ59Qt6P9bgzEnlEFemGzSwqSiNXkHg6FUUafEqn49GCGNKfRRMVRTUqSqWTeWqScdX12MYG067K1Ytg+T9ja2TIIYhTngwRFEldxz//b+h3nB6nSFMIi1lUlM6/QUVMeIITcYSjdSmtkoo/OCFBmBxvdI+HJ4YdyaYvg8LBgtI+nP/5P+g1blRcQygc3J/uo4IOrF8+8mK723RX1wbKjvw9CHE6gMxuhRQPK22xPH9gXyqFj7o6o9/HU1NH1bpNrWpzcBiXIqBZaubO+3+mWa1c/tP7ZBYHxa27n/87u+5/JIlRJY62XBcqggw4eBL9DhhvXnQ+SlCkUCgUCoVCoUgSyqlIoYgfDUAegJYkq+pkoNfUUPXqGxRccA5gpEDbcum1SYvHnPoMQHcpp6KuhJaTg5aXi5adBTabMXhndijRNNB1pN8PXi/S60P6vC3aERYrWK0Iq8UQhGhawI1k9xN/odsdNxvb9R+GOOO3yPf/Bj6vkVbKVd/pZ1u2i9oqqNwFBUYqgtwbb8S16GNwd2IBoCUFNNxSBxoHXeyp9R8lv3wfedAJiCFjkx1KhyAyMtHGTUZf/mWyQ1GkIvZ0FRVFciqKvSkt0mBiOv+XRgg9cqq3CM1EOQZCpHeCuI7Guv9BOM+7JFCXFeuRH9wf/UUWO+T2Amcu5PdGDDkUMWBSyCZy+3r0x6+Bbes6IOrkI0KcilI7DZYijnhM1+F2W+TtUgTpD343NWvLbs3np5zGqW89wfDjDwMgq3sR5y76O6/Oupx1H8bnemzosYcEyl6Xm42fLG13m/VluwPljMK8drcXKwMOCj85ru+UfZi3YD4APpeb8h/XtCqtVZbTSe+i8Onn6naUB8oiDdyx2srFy98iv39JoF795rvs+N0fkhhRAlCi57igWa0c/vCN5kULgdeTFI5CoVAoFAqFQqFERQpFHHBi3Nj1BJA+Hw3Lv09uRAlm97MvBkRFWoaTwjmzqXj6heQEYw11jZFKVNR5EQLbgH7Yhw3FNrAUa68eiIyMhOzaX12NJdeYPaodeRZy8Bjkxl+MlVIawiJXHTTUGc8eN9LjNmYBe93gdhllj8sQI1ltQdcHTRjlphRMQjMGddwNRtsWazA1EzI46Nq0vcUKjgxDONIojkJo4PcabbgajPjc9Y3PDS0HboUAqx1sdqMdW2PZYgWLxWjPnPYJaQivLLbGFFKWyKkThED/8HW0Ey9FCIFt8GC6vfM2NY8+hmxoMNJLuVzIBhd6VRX+7dvTX3BkPhap4FSUavh96PeeDyWlxm+h6Rg1SzsGprRjFis4M42H1db43bQa3z+/z9hO9xsPvw/8/uByuwMyshEOp/H9tjsbU6F5we9Dej3G64RAaI2iwqa2Nc34fiOMctNvVRMgGp814/uvnXBZ4C1aTrlAiYoU4TGLodNKVBT+HK+34T1EFNqk0/FoToTYYx1ni5r+LKVs51KM4m7kPPxUwBlKeuqQ824Bb5j0n5oFBk1FDDsM+o5H2MILb6WU6G/9GeY915GRJx+bPVhWTkVdB68nUGw+SSclMYuKLOFdY1+ddQVHPXk7E+achhACR04WZ77/DG+dfQM/vvafdocw9JigqGjb1z+2uz2Auh1BR9zMovy4tNlaLA47ffcfF2a5g8q6WnbtMmKrXLMRv8fTYrtwDC7pG9GNsNKUjk6kwgSMDuDcj/5Gj9FDA/Xa/33C1st+27XOrSqNZgjOgjz67T8OhKBizQZ2/7oRv6flJDeAMWfNpNc+I82L7k1IkAqFQqFQKBQKRQSUqEihaD/3AjOaKhV/fhbflq1JDCfxeFb/St2iT8k6+EAAii67IGmiItFspqJsUKKizoalWzHOSfvinDDOcCRKAnX//ZCcWTMRjZ3YYvAYyMpFrloO6JCRZTyCLuepPfTnbjAEULofHJmQmd3xMwzrqiHbmIFrHzmSggf/iPvLL9FN6eUAkBL/rl341qzG+9NKfGvXpl1HrIgw2JHYIEzlVHT/kDps+TWxu4zTNpHQkWgnXA6ANnr8HrZWdFVEyAB+GrmCxNGpKGL6s5RWQ+6JBKQ/0zrnIGw8yH/p3wiTC5j8771Q2SxVj8UOex2LGH8aIrt71PZkfQ36n6+FlUs6ItzUQjkVdUmk25T+zJ4O6c9MoiJb5Ovs9y+7ndqtOzn4zqsQQmCx2znxHw+T1b2IJU+81ObdZ/fqTv+D9g3Uv/vrm21uy0zVxmA/Ulb3ori02Vr67T8OW0bLzz6npBurVq0CQNd1XBVVrWrParEwoEdJ2HW1W3ci/el1PxcrJ736KAMODjrdNSz7hi3nzQFveAFJZyLydV3XJatHMYfceRVjz5uFxR689ve5PWz8dBk/vPwuP772H7z1QfHzXmccY27iRWBRouJVKBQKhUKhUCjCoURFCkX7yAQCVgQ17/6HsnseTGI4yaPy5dcDoiJrcWI7wMxoOdkhdV9zgYIibbGPGEbmQQdiGzww2aEg6+qpW/AhWUdORzQO6oleAyAjC7licWgKgXTAkWE8Eohc9j+YeBgi0/jNarm5OA8/HN8vv+D57ntomgErBJZu3bB064Zj8hT02ho8y7/Bs2wZellZQmNuK8Jpcj1IM0GUou3IpQuhUVQkHBkqBZoiPGk7gB9JVBS7ECiypiiNRUURYg870BZlFn/U46kG7cKS/dizaD16Bupy6d9h7WfBDTIKYNTRiDHHhRUTySaXPK8XqsqQ336M/GcXur8zOzX5fcmLQ5FYvKZ7l3RwKjJdT4s9CCw/uftJqrdsZ+Zz9yA0DaFpzHj8VrJ6FPPRrY+2afdjz5sVcEjSfT6WP/9Gm9ppzu61QfFjVo8E9qkIQemh+4VdJR02Vq9eAYDf7aG1gt/SniXYwqSmA9j4wZf0PWRS2HWdgSMevZmRJx8ZqLt/Xs2m02Yj6+qTGFVykOnsOhknhs2cxvEv3o8zP7fFOqvDzsDpUxg4fQqHP/Q7/nfzoyx7+h9YM5wMMAkXgbkJC1ihUCgUCoVCoYiAEhUpFO2jGxCYzrX18mtDZs11JfSq6mAlifbVWlZmoCylBJX+LO2x9u9LzvHHYu3bJ9mhhOAvK6P2nffJmnE4msOYbSbyu8G+05E/fwO7upZjWczofuTi+bDPQZBfjBDCSIc2bBiW/v3xrlpluBLVh6Yq0bJzcE6dinPqVHxbt+BZ9jWer78OipBSEXsKOJGY+/8jpaZTxJdt65GbViP6DgFUCjRFBMxORek08BLhPNIWUZEWaUA4nY5Hc2I5DlpkcVDU9GfKqagFjjPPx3ZgMCWR3LAEufh5o2KxIyacCeNPR1hD3TiklFC2Gf3jN+GjV430sF0V8znJ1/kdNRSNmEXv6SBYNMfYivPtty+8Sc22XZzx7lNojUKXqbdcSnbPYubN+QMyhj4cZ0EeB9x4caC+6Ytv4jZpoPyXYEowe1YmVqcDn6vjJ6sMOGgimcUFYdet27YFf+Pxkb7WHScBDCnpF3adp6aO7Uu+77Siov1vvJhJV50dEBF7N29h00lno++uTHJkCSQNTiGJYt/Lz2TGn25pLn4sB3YDpUDAai2jMJ+jn7qdsbNPYOmfXw5xNALOBj4jvW08FQqFQqFQKBRpjuqJVCjax25zxda7V7LiSDrSGxzQF0kcsNayTOmw0nmGuwLhdJBz8iwKrrw05QRFTehVVdT86y38JlGdcGSgjZmC6FWaxMjSB/nNx8hVy5EmsY3mdOIYO5bM44/HccjBWAaWhp01bS3pTebMmeT9/kac06aFindSCXMnYtLOS6b9qoHohCGX/jdQVinQFGGxpalTUTzTn0VakdbXceFj12JMfxYdNWoXQnY2mb+5ITCQK6u2IRfcZYjTMvIRpz+LmHReiKBISonc+DP67aei33gs/OeFri0oAjCnvlKiIkWqYjqXtlbM+uv8T3hu8qkhIp1xF57MKW88jtXZ+pRv+156Oo5cw2lV6jrvXnxrq1+7J3av3xxSzyjKj1vbkcjsVsjwWdPDrtN1nTUb1wfrrRRf9S7uTqbZqdXE5o+Xovs6pwva2NknMO3e3wb+h3zlFWw66Rx8W7cnObIEY/59RnFj7OxMvPJsjnriNrOgqAa4AigBhgAZwFTgL0Bt00a9J47h+BcfaN7cecDJHRyyQqFQKBQKhUIRFTWqpFC0j2rgh6ZK9pGHJTGU5CI9pk7nJM5u1DJMKZxUmqG0xdq/L4XXXY1z0r573jgMPr8ft9eLy+OhweOh3u2m3u2mzu2i3u3G4/Ph38P3Q9d1vD4frsbXN3g8uDwe3F4vHp8Pr8+Hruvg81H773fxrFsf2qk9aC/IKUAN+rWCbeuQn76LLN8ecgyFpmHt3RvnlClknjAL+4QJiOysFi8Xzgyc06eTe+21WIcPT2TkrWJPaRkSgrk/NxXi6SLIpQsDZeHIQIwNn1pC0YUxi4rSKdVQBAG53gZ3obApwSC9nYpiIdp4W7R16vIihKxb7kU0phOUfh/y/VvBVW04FB17H6JwQGBbqfvRf1qCfsfp6LefCpt+SVLUKYjNJK5Ip3OSIn6kg1ORiVhEC9uWreCJ4TNwVQXG7xl+3DTOeP9Z7GHuMZpjy8pk0tXnBOobPl1G+c/rYgs4Cp7q2pB7oSbxUhOa1cqYc45n1t//yAVfvsaVaxZy8ut/Irdf2ya3WRx2JlxyGlZH+IkZG3duo8Ftcn5u5aEu7dk77HLd52fzx0tiDTMtGHLUQUaKvcbfj15bx+bTZuNZ/WuSI0sCZlFRF3VyHzv7RGb86Rbzoo3AAUAR8CHwLDAeWA7MwRAZ/StSe7vXbloK3AFsAUZ3TNQKhUKhUCgUCkV0VPozhaL9zKPxps4xMvUGsxOFNKceSuKAtZZpmhGnREVpiXO/fcmZdVyr0+h5fT62VFSwrXI3u+tqqayrwxPD7EfDNcDceS7RY3AN0ITAolmwfvEZmb1LyB+3D5mZmWRmZpKRUYy9uAh7+TZsu7Zg1wR2mxW71YrDZsVisYRtU9d1pDTikFJi0bSI25qRUqLrOh6fD7fXED75dR1dl9isFpx2O067DZs19r9/KSV+Xcfn9yOlDHSYNrku6FKi68Y2xj4j//6kDKZ0kVIGTBrkR/PQcvJwDNuHjJ59cJhmuAqbDdvwYViHDsG3bh3eH1Yga2tD2tVyc8k+91zcX31Fw/vvp05KtJCvVwo4FSkSx7bQFGjWUy/A++3i5MakSCmENQXSI7aFODoVaZHSf6WzU1EEQVR4AVXk9xnVgUMJREOwTZwcrPz4LpStNsojj0L0HBlYJTf9gv7wZVC1K8ERpglmUZGn49MuKVIEh+ke2psi18/RaIfwqWrDFh4bOI3Lf5xHds9uAJQeMomzFz7PyzMuwlVZHfG1Ey8/k6zuRYBxfn7v0tvbHEdEpAy8P0eOIXRy5udy/IsPMOTog9Ca3RMWDurHyJOOwOdys+gPf+Lz/3uuVbuxZWaw7+VnktunR9j1Pr+PlRvWkVlqEgi14n85OyOT7vnhU6lt++o7PDV1rYovnSjZdzSnvf1kYCKJ9HjYfO4luJZ/l+TIEo+lqBBb75JAPZ0v5dqKLSuTIx75vXnRBmAacAaGMAgMgdGFGBeBnwG3YzgRTQYexxAcBSgY2HeKu7q22pGbnQu8DQwDlJ2gQqFQKBQKhSKhKFGRQtF+Aj3SWlZmMuNIKt7NWwNloQkyp0yk/ovEz0ITJhFCV50VlbZYLGTPmknGfq1zJyqrruKXbdtYu2MH/nYMxBoCorb3dulSovt9eP3QsG49NRkZWPJyW2wn/V7YsRlZXRFYpjU6PZgFNpGwWiwBYQ8EByYFTaKe1ovoNKHhtNsaH3YynXYcNhsWTcPt9VLncuPyePF4fXj9PjzePTs7xZUFHwCQVdKfkhGj6Td0OAMGDMBmsyE0DdugQVhLS/Fv24Zv3Xr8W7eAyS3NMWkS1iGDqX/9X/jXr09c3JFItRnfqRZPJ0cu/W9AVKSNmZDkaBQph92c/iyNXEEiOBW1Ng1NSFMRz0lpPBIV4Tg0vdWQ9xzlbcpoK9W5PASRF0wTJH/9NLi8/8Tg8p2b0f9wStt2MGAkNNTBjg1tjjEtsCtRUVdEmMRk0ptm49Rt+N9xVVTySP9Dufyn9ygc1A+APvuN5dyP/sbfDz+f+rKKFq9x5GYz5YYLAvUtX33PrpXxd6GRugz8xR5y19V46xsYesyhaNboE0ysTgfT7r+Otf9bzLZlK6Jum9unJ+MvOY2sbuHFPwA/rl9Lg8dNViThbwQGl/SJ+L++6aOvYmorHSgY1I/Zn76C1jhpR+o6W+dcQ/2iz5IcWYKxWim8+DyKrr8qZLGnruulFB1w8ESceTlN1WqMFGebgHPCbC6AAzHci14HfgtMwhAi9Qao3ryd3D49aRQUAZQCI4Gup1pTKBQKhUKhUCQVJSpSKNpPIN+WdHXdjlf/zjLcv6zBMXQwACWPP8Ca8YckPA7NabbsV6KidEHLySH3vDOx9e+3x203lJXx3Yb1VNTWJCCy2PH8tArb4IFYCgtA04LiH4sNSkrBZkeWbwdiEwL5mn2fmwZuow44RkCXeiAlXCpTt3UDq7duYPVH87H1LmXQ2PEMHzGCnj17BlKjWXv3Ruo6+q5d6BUV6HV1yJoayMwg5+KLcX3+Oa4FCyAG96q4o5kGAZI1XTNkv2ogOpHIpQvhhMuBYAo0qdyKFE3YTE5F6ZRqKKJTURtERZHOSenk3NQMiQz7roQQIJoNDEe5Foh+ONW5vAlt0JDQVKNNLkUAPYJOsvrn78TWsNWOduNcKN0LIYThCPnC7fDZ2+0LOJWxmSZoeFxRNlR0KtIt3aT55NhGgaXu8fD40CO49Lu36b7XUAB6jh3B7E9e5m/Tz6Nmy46Q7SddfS6ZRQWNu5e8dc4NbYt9DwiTiGfQ4Qe0WO/3etmxbAUVq9aiWSyUHoGhxUIAACAASURBVHUQGcVGXEIIZn/8Eiv++T7/u/kRareXhbw2r18vZs69j+57DUbqkobd1UhdJ6MgF4vDjs/twVNTx/o1v1K5w0KPvYeHpGDze6Nfp9gsVvr3CJ+KrWr9Fmo3bw++T5MrsfSn2fevkczuRVzyzb9D0sft+N1t1Lz9XhKjSjwiw0mffzxP1oFTQpZ7G1z89K8FSYoqsTjycuh3wHh8DS6Khg4wr1qMkfpsIDC4aWHD7ipsGU6s5v5Lw6loOobIKGARltunZ7hdtlQ+KhQKhUKhUCgUHYwSFSkU7ad/U8G3fUe07To9lX99hR733gaAY+AAhq39htoPP0GvrkbYbAiHA2FvfHbY0ex2hN2O9HmpX/w1ux55Er22fXbYIU5FvvQdjOpKWPv3Je/cs9Byc6JuV1Vfz1erf2Hr7lTvP5F41/yKFxAZGdgGDkDLyQmKi7r1NgZpaiqTG2Y6ofvwblrNqs2/8vPSvuT07s+w4cMZNWoUTqcToWlYunfH0r17yMuk241z5rHIP9yGd/Vq9E2b8a5ZjfvzL/CtWpUwgY+wpIKoyFRWKXMSyzaVAk0RBbOoSE8jd4gITkWxpA8NNNUZtTERnYpEy3NwlGMWVaTVKQ9c27D0CdyOIX1ucJnSF7lrIctIV0RGNrEgzr0VMXB0sC4E2uzbkfsejnzjcdi4ql1xpyLCfE7yprb4XBFH0k18bnJQ1VqZMjtSO0+NPpYLFr9On0ljACgePpDZn77C36adS+W6zQBY7Db2vfyMwMs2frqMitXr277fKEgZXpTqc3v47slXWHLfX2gwOSkJi4Upd1zJpJsvBYy0ZvucfyJjz5uFu7oWq9MR+C+xOh0hLkI5JaH3TgDV1dX8tOSzQGq4kBgaogsNS3uWYLOE72be3MylSLMFnRr1dBJVN2LNzODyH98LpKgDKLv/ESqffymJUSWHot9cFiIokrrkl3kf8ebZ1+Orb0hiZB2LZrUy4sTDmTDnNPodOKFFasJGmk6ugXRm5b+s44lhRyI0jbGzT2Dmc/eYty8AvtzDru/AcD5SKBQKhUKhUCgSihIVKRTtZ2BTwbNhYzLjSDqVL7xE7kkzyRg3FgBrQT75J81s1Wuzpkyi+KqL2XH7/ZT/eW6bY7Dk5wXKsqHzdmB0Fpz77UvOrONgD53Bv2zdyuLVv8Tk7JMKyIYGPD+uROTk4Bg5PDCLXvTsh2yoA18aDSCnAlJHbt9A9faNLF27iu+XLWXcfpMZPXo0WhihjHA4sDgckJeHtVforFn/jp3U/fMf1L30Mvr27S1eG1dMM45l0r7D7Z/RrWg7cunCYAq00SoFmsKEeQA/nf4TIomK2pAq0xJ+ECatnYoiioqg5bFro9hUCJHOCeLiilZcHKy4a0NXVqyDQkN0pI2egv7aw61uV4yY2HKZEIjR+8Po/ZE+L/Lnr5F/uwfKWjG+Z3ei3fQidO9jOKr6fcbD5wWfB7xND7chQHc3GA9PA9JVB656IwVbQy001EB9rVGuq4K6GnDV7jmGPWE1pWRMpsujIqFI87k7DcTnUg+e/UQc4p2738mcvfAFBk43hBEFpX2Y/ekr/H36eexatZYhRx9Mdg/jPCOl5O3zb2r3PiPh93jRMoL/i9sWf0vZ9z+z9P5nqGoUOZmRfj+f3/IoGd2LGHNRML2j0DSc+S1TckejtraW9957D3cYN1ufy03dtp0RX6sJ8f/snXecJFW5v59TVR1mpnvy7KRNs7uwiV1gyZJBQAyAggERRTArZtSr9171Gq/Zn14xXeUaMKAgiARRkJzTLuyygU0TdnLqnulYdX5/VIfqnu6JPdMzs+f5bG+lU6fe6qmurq73W9+XNU3Lci6LDo/QmVWSzVnOzYrP/PeR4fWiuQ0MrwfD7UJzudDdBprLRd+u/VjR6Iy3kULT+OD2v1Famy4fN/Dz/6Pvm98v3DYWEJVXXp4aD3R0c8NZV86a6G4+4Cot4YQPvJUTr30bFcubJmq+Cfvy76jkjK5tuzjrix/mzP/8YL518j1t9y/gamDf1CJWKBQKhUKhUCgKgxIVKRQzJ2VhGztweD8sIqNRWt9wJU0//T6+88+Z8vrCMKj/0uewwhEG/nd6T3jpNekbO1awADfWFbODruN7/UWUnHzCuM0sy+LxPbvZ2dE+R4HNDjIQIPrSTtzr19nJKN0FS5YiO9T9oOkhYaCbyEA3j+58ln2rjuDc11yMr24JuDzgck+YYNDrl1D+kY/g/8AHCPzoRwS+9/3ZS545E8jzIQOcRwygmD3sEmgfAEB4SxBHn4h8/okiR6WYDzhdQaS5gERFWm4h0HScirR8QscFJiTOZApOReMIscYtcaopgWgSUe0QFUUzXU/lgScRa86yJ5pWQ2MLHJrk9Vdl7biLheFCbDwZ+fXbIDIK+1/CeuwOeOSvtkgoC+2jP0QsXzupTU/nr5t2tpK2WM2ybHGeZY4VMUVCWHf/CrJLwjldRmIFTMIr5jeO861YCOeWWYj31+e9kzfd/EPWv/48AMqb67nqgd/ym/OvZu3F56baDe5vZ+DlWXyYzPE9+tdLr2X3zX8f00T3uPEva6R8RRP+5U34lzUg4yZ7b/8XFauXUblmBbor9+1eMxZn+ID929pbXQGWJDocpKezi/sef4SwGUdzG1jROPFQGDMUIRocJTI0PG6ZspUNTZQ6XKOdtP7rcWRWKW+nqKhuw2r+09zhWCqmdBIUEzwwIS2LP172YV665Z7JdzoO73vmFipXpKpTMXzzX+n6zBcK0vdCQ6+uwqhPu1r96pVXLWpB0bJXbOENN34r4+/vYARwAw51Lk3Aj3E43If7h8YTFMWAu4DX5Vh2ACUoUigUCoVCoVAUESUqUihmRiWOH4fRnbuLGMr8wAoEaLv8asrOPgP/xa/GtXI5wu2GWBwZiyJjcWQ0ioxEkbEYMhpFq6zA/6pXItxuhBA0fOlz0xYVuZrSbiRmb1+hdktRQDS/n/KrrsC1Yvm47UYjEe578QV6hofmKLLZxRoaxuztw6izE1SivBo52AujgSJHtvDp3LubP17/PU7ZcCTrlts3+GSpHypqwO1FeErA4wVPKZT6QDfS5ehcLso/8hG8p59O33vfNzuuRc4EctHKnzme6BbavNA2HVYc2ods24NYauuQjTe/m5gSFSkAHOU/MBdQAj+vU9E0REX5EsLTcD2aN4xX/mwKmdJx3888wq7DEa26Jj0RybqueunvyJOvRpTVpMqXWV99x+Q6dhzn1g/eAqNDiLOuhiNPRVSl3QmEEOAtg3XHoa87DvmOf4eBbuSOJ5D3/RH2bkO868uIdbPrVJdOrCcS8ppOZm4zE+3qL2I9d7/tdJTE6VSkREWHD3KBOVpaTlFR4cTyf3zDh7j4hq9z9NsvQQhBWV0177jvVxmOP3vuerBg25sIKSVufxm+pQ34lzXiX9ZA+YpmSpdU52wfbO8k2N5J55PbqGhZimboRIdHELpmjwdGCPUMYMUyRcytPV08tWs75jS/dw1dZ/3ylpzLrLhJ2wNP5di59KgQYlaPO6FpvOr7nyuIqOjKf9xA/dHrUtMj9z1Axwc+XrzfeEXGynK1mqo71kLi5I9dxXnfuA7NyEilxIDfAz8CngBWAy9gi4uSvMe5wsGHn2GLw1UsQTdgAZ8DvpknhCuAz2OLixQKhUKhUCgUijlHiYoUipnxyuSI2T9A7OBYO+rDlZH7HmDkvgcm3b7k5BNY8bebANBKvPhfewGB2++e8nZdzWlRkfp7zD+MFcuoeMfb0MrzOTrb9AwPce8L2wgV0qZ8HhDbsxetqir1ZKaoa0YeeKnIUS0OYvE4D2zdzr5D3ZyxeT1lkBJsjbnFW+JDLl2NaFqFSJTdcW/ZQt0f/0DPZW/E6s5v7T8t5kNyxnmjewGUtViMyCf+nhIVaZtVCTRFAqcwZCGJaPI5FU1jH3KVr7Q7W8Dlz/LErucs95o/ETlugjdf2bjDEFGZdiolkulUhBlFPvcnxKnvtadXb4aGldC5f2obsUwYHUTe8R244zvIigbEcRfBltch/JmORkIIqK5HnPo6OHWs2YAM9iP/+WMw3GB4wOVBJIZkDL2Z81yJeYllwp3bFWSyCCFg1VGw7eH0TMORB42NLYGkWKQoUVGKW6/6DJHhICd+6G0IIcaIJHbf8a+Cbi+J0HXK6qoznJc2vP0SVl5w2pT7MkNh+rfvmbBdOBpl677dHOye2UMVG5a3UOL25FzW/tDTxIIjY+a//Nd7Ofajb0d35Rc+FpLypQ1UrGhm6MD0HZBf/5tvsercU1LToWeeo+0d74PYAnKaLDByZJRYeweuZltou+qVp9D26LNFjqqwCF3n4l9+jaOvvNg5Ow58F/g+EAJeA5wJ1JEpKMpg8EC7LW674evO2a8G7kyMXwqkVIO/OO2tvOE336By5VKwczj/BUxSGa1QKBQKhUKhUBQWJSpSKKaPAD6dnAj+8/4ihrLwCT32JOHntuE9ZhMA5RddOC1RkVG/JDUe268e4JlPeE8+Af/rL4acCbU0uzo6eGz3zmmVUJn/SOL79uM+YjUAoqQM6fKopI3T4l6m/psWrT29/OmBxzhj83paGutzNwoFYffzyGfuh5POQzTYhnNGSwu1N95Iz0UXIUdHpx3DGOaZU5ESFRUHVQJNkRO3I+8QX0DfBXmciqbjcpC//NniExVpYmolXcAWauUUXhnqp3wS4XOI1XM5fm29BbnlzYiSStut6F1fwvrylTPb6FAn8t6fwr0/RdavgTUnIdacDMs3I4y8+UQA5L0/gWf+mjlvGiFIyBAmTTh0ecBwo13w4fydekvS/Y8oN83DhgUnKprdeO/68JeJDo9w2mffO6a01st3PTTzDQiBv7GOypVLqVzZTMWKJsqXNqDpGsJRgtAonZlwMB+jkTAvd7Tx8qE24ubMvmur/eWsaVqWc5kVi7M/j7NT+4NP8bOlZ1LRshRpWfYhKKVdxtE5tCTSssbOS41bWHETaZqpoTQtLNNE03XedeA+3P4yhBCc/81PcdObPjKt/Tz/W59h01tfm5qO7H6Ztje/EzlSwN+MC5TI9p0pUVHziUcXOZrCc9y735QtKDoAvAV4DLgE+D9gQoumaHCEW952Hed/69PO2aNA8mnMMuBPyQW9L+1ly7suSwqKkpwxnX1QKBQKhUKhUCgKgboTqVBMn3cDKauBgZ/8ooihLA7C215MiYrcLeOXxsqHUZcufxA7cLAgcSlmiMuF/9KL8R6/ZdxmlmXx2O5d7DrUMUeB5UaUlaHX1oKu2U++CmE/MSo00BLW7EJL3MBO3NCWMi2GSd3jTo4Ix2DsTW9t9VHIkOPpTQGg2cNkmRRpgWk65mmJ/pPbn8yOJWJPiXaEnZCU0u7fMu3ZOQUnIh1/9o37ZBIiGWvyPcqXNRVizM35bKRpQjwGowHkyBCMDE9JjBOJxbjn6a1sOWIVxx25Kv/2/JXIR+9CrtmMtsl+6tS19kj8n/g4w1/68qS3NxGZm58HoqKFkCxajKgSaIpcOJ1GYqHixTFV8joVFbD8mVxAzk3Z5BFE5RQHTfCWWVKS85s5j7DrcMQ6uD89UbNqbINYCPn07xCnvd+ebjkK6ldA1xQeQBjvOqRrD3TtQT78W3CXIFduQaw5CVafhKjN/E0jn/krPH3b5Lc7EfGo/QpPXgAkz31fWviUvV/utKiIULAAASoWBBnHwfy/TpRy9pyKktz7798lMhzglf99XWpebDSEFY9Pua/SumoqVzanRUTLGtDdEzv0FOovIaVkaCRI92A/Hf299A0NFuQXiaHrnLB2Y17HwQP/eITI4HDe9Ue7+xjtnt2S9c9f/ztO+NS7ADjidWdPq49XXHcNJ3/8qtRvylh7B62XXonZP1CwOBcy8Y5DqfHS2qpxWi5AhOCcr3zUOWcIOBG7XNmbsEuf5fyoDu5v49fnX0PDMetZfuoWHvjK9Rxz1RuyS5/9EEjeDPq8c0HtulXUrhtzTbNr2vuiUCgUCoVCoVDMECUqUiimx0nAD5ITgTvvIfzs1iKGsziwHE95CU9u++xxMQz0ivQDQrG9+wsQlWIm6LU1lL/9CoymhnHbjUYi3PfiC/QMD81RZHkQGp4N6xBz8PS/lDJ1Y1KUlM369hYSQtftsi4eL6KqDhmLwXAfcrgfIpNPuj+zey8DgSDnHHsUer4yMRU1sPcFpL8KsXIdAL5rrmH0T38mvmNHAfaGTBFPsQy4MpyKVMmcYiGfvEeVQFNkILwOUVF0AT3tnkfQMh2XQS2fOGYhlYPLJs/bIPIIjMftKt97mk+MdRgSffRBvG+9CgBR0YQsrYbR/sxG225FHnd5plvRV94+br8ZouTJityiIdj1MHKXXVJMVjbCmpMRDWuQe5+G7fdOdreKg8MlhWi4eHEo5hbn8b0QxOeO7wdtAhfcmfDwN35OJDDKhT/4D4Qm2Hbj7ROuoxkGVauWUXPkSqrXLKdieROuKTkOzexBgJgZZ3gkyGAwyOBIgMFgkOHR4LScBCdiy5p1+EtKcy6LDAbYf+cDOZfNJdt+flNKVOTyenjlN67jH5/65qTX3/S2i3nlf1+X+j4w+wdofePbibcX90Go+YTz3p25yErBvfLrn6SkutI563PYgqKNwA0kLurCQwH23vMwob5Bhlo76dm+h8hwkPc89Wc85T4ANl95UXZfkBYS1QPXThDOIA63fIVCoVAoFAqFYq5RoiKFYuqcDNxFok52vKuHruv+vbgRLRJkJF32w72smaYffQvhcSNcLoTbjdC1lNhA6DpoielEUkUrKcnoL6Zu9BQV91EbKL/8jRMKxLqHhrjvxW2EojnKVcw1Ln1OBEXAhG49ijTC5YKaBkRNAzI8An3dyED/xCsC+zq7uePxZzn/+KPx5Hsi2F+F3P4ELF2NMFwIXaf0oosYLpioyFn+bB4kyRdlacGFgXzyHni97ZShSqApgEynouhCcirKIyqaTvmzvE5FC7j8WZ5zvSDTyU9O4v3Ke8rW1U/5JMKY2PGDWAj57B8Rr3iPPb1qEyw7Elon+9D/NL87Bw/BU7cUTVOcm3GuQZ3XwbF5cG2umBsWmqOlo2TXbDkVJXnq+hvZ+uu/ULGiiZ4X94xZ7hQR1axtoaplKZpRIAH/BH+LSCzKYDDIQHCYoZEgA8EAwdDcCJSPbF7O8iX5HxzaceNfMaPFF5gM7t7P/rseZOWrTgfglI9fzUNf/QnhcRyUkqy+4HRe/39fT/1ut0ZGab38aqI7xx4HhzOulhWp8aEDi+cenLeynOPf9xbnrGdJC4luBkoAQv2D/PL0K+jZnj4ujnvvW3jTn/5fxvkph6AonugjDHwByKc+/AXwIrYr0uJ5gxUKhUKhUCgUCw51J1KhmBpN2D8eKwBkLEb7NR8kfqiruFEtEmQ4LSrSKyuouvzS6fclJVan+rsUBSEoe82rKD3r9Amb7uro4LHdO6flbJAPv7eEpupq/CUlaIlSWyKRPBHCvmcet0xMy8KyLEzLSjsGeTyUHXMMQgh0XUcbGUYnUXZEWrbdvWVhmTFM08K0TMy4RcyME42ZjIZDhCIRQuEI4XDEvt2UKjdG4oa9TIxKOyFoZlnoSxLJSAlWor2mI3QXYNnrpd4vMXnDg2SZM2cJs2jEHtcNextCIC2TzMSZSK8rnftBup/kG2tZiVJqVn7xTHYf2SXjhAaGC1FWDmUV4HJlCLCEtwyaWyBUh+xuA2fpuDwc6h/g1kee5MITj8VfWpK7kbcU+rthSTMArnXrJux30jiTHcUS9GjTcFtQFJ6OvaoEmiITt0N4G1tAriD5nIqmVf5sEToVWbkFUbquTbmeTSgaxe0a+7NdVFRMJ7JFSezZJzMcICmrGetUBPD8zchjLkOUVttuRR+/HuuXX4DIKIRHbTfESAhCgbEuPfNLFVQ4sq8JhEMMscgcJxTjsNBERY54xSw6FSWJBkdTgqJZFRGNQygaYTAYYDAYYCAxHI0U57phae0SNrWsybv80ONb6d26cw4jGp97r/0Sb996G0aJF03XOO2z753QrahxywbeevuPU6IQGYvRftX7CT/17FyEvKDwrD0iNd76yOJ5f075xNUpl6EEl2GXKrsJODI5s6S6kjfe9H3uue4b7L7jfty+Ms7/1qcmI3g0gCuBB4H35GnzC+Ca6e6DQqFQKBQKhUJRSJSoSKGYPH7gr0AjgIzHab/mQ4QeVcnAQhErpAhoISeiFjCa30/5lZfjWrVy3HamZfH47l3sOlS4B62W19axvnkpjVVV0+5DeD2Un3hiatp64DZbeJONnnilMBKvdHLYsixicZNILEY0Hicai9tDx3jctABXWptDQgQl7HIwSfeGcDSGaVloQkfT0iIpiUzdU9eEsJcJga5peN0u3IaBodtioUgsRjgaIxyNJoYxwlIyEg4TCcWIm1ZiG4ISj5syr4cSjxu3YeAyXLh0HUPX0XUNLRGwlNLWQEmZ2L6Gnnjlc56w9zExnhB92fNt4qZF33CAPR2dDHceBJfbFvqUVdjOZMl+SnyIFeuQQ73Irra8Cdwkg8ERbn3YFhbVVPhztpGjwwhsUZHesnLc/qbEfBAVOQUA6vxYVOQTf59+CTTdsF0kDMP+m2qanfwTIj2ddPHTXXYZQV1PO5rEYxAJIUOjEBgeK2pUzDnC5U5PLCRRUZ4yitY0RItavgT2QhZAxnNcOwAlHjdTVRUFwiEqysaWl9GqaqYT2eJkaBBGR6HMLierXf5z5Na/OBo4xMml1enxihr0j/6AXIwpO7eQj8epkHHNsoDdwhRTY4GJiqTTqWgO4vU319NwzHpq162adRGRZUmG+vvp6+vjhRe30b77ZYZGgkTmicivsbqWE9duzPu+j/YM8NKNf53jqMZncM8Bdt98D+uveB0AR195ybiiosYtG7j6kT+gOZzbOj7wCUbuvX/WY11o6DXV6JVpkfPLf3+oiNEUllM+8c7sWXsBF/Ca7AV1G9bwltuu5y9v/zT77nscty+jvP0eIJ8KrxL4LZBLgfQiE5dEUygUCoVCoVAo5gwlKlIoJocG3AhsSc7o+swXCP7t7uJFtAgZvukWSo7ZhGfjemQsZr+isdQ4pmXfQLTM9LhpIhNPxfvOOwvXUlsQ4LREV8wNrlUrKb/yrWh+37jtAqEQ/9r+An2BQEG263W5OX39epqrC5Bcy04g5XFimAyapuFxa/lLbiny0tK4hOPXrqajt59d7YfY39lKNL4P6atANCzPSMKLilooLUd2HoSRoXH7HY1E+OujT/Gak7dQV5nD4cF53tALlywQGQKrKYiKhLBdTNxuuyyfJZFJJyhLphOcqZv6AgwdoelIMw6mBbqG0HQyktiGC7xl2VtLCFRyHPMp0UpCuJJ0pko6SwlhCwySy3ORdLqSjtgtMzEvOZ106LLS7Z19JmPIl5BPLc9Bsm/IjDXZ3ozb8TjdtizT3la2cMcp4EltOytGZxvdAJfHFsi5PMi+Q+nVvCXo13wcOtsSy93238cw7HI+SQGR7sosSVMIpIShfmRvF7K32x52d8DwYGG3oxgft1NUtIDKnxXUqWgRlj8L577G8ZeVTNmpKDAaghyXOFp94zQCW7zE97+Ma+Pm1LTYfMmM+huTMLcWqQjzqFPt77zRAAQHbefGJPNExKCYCxzOP/NfU5QhkBcFvGZ3Yng9LD35GJaffjzlzUtmZRumZTE8EmQgMMxAcJiBQICnGUr9EXpf3kN4cP5cly1f0sDxR6zP6zBoxU22/eyPmJH5Vzpx+//dkhIV+RpqaTphEx1PbhvTrmJFM1c/8gcMT/r6rOvfvkDg5tvmLNaFhOb4TS2lZODlg0WMpnCU1lbhKsmoRvatxFAnTy5F03Xe8Ntv8dDXf0r3i7tZsjHl4JRPUNQGbALW51g2CrwpMVQoFAqFQqFQKOYFSlSkUEyODwGvTU70X/+/DP7yN0UMZ3EiQ2E6P/7Zaa8fevMbaPrRdwCw5uGNrMVMyVmn43v1BZlJ9hy09fXxwI4XicYLk5ip8fs5e+MmfN585eenSHYydGLLasUs0lRbTVNtNbGNcR7bsZsdB9uRe7Yhq+oQS5oTYhnb6UMsW4Mc6LFLoo3jJhCNx/nbY8/w6pO2sKQqS1jkcN7QysvRlizB6u6e+Y44j6Ncx5huICqr0ZqWojU0IeobERWViNLxBXpTwiluO+XViNWb87dVzDoyOITw2ceffu7rsJ54YO6DEAIqaxCVNYg1G9LzRwLIQ63IznZ72N2hEsuzidOpKLoIREXTcGPT8okRF7KrWii3yNUuweksRznx+9UXDOacrzUoUZGT6C03ZYiKConc9wwEc5RTWwToF1wJF1yZe9lHv4m89mv2Z9E0bQGuGbdd7+JxiEchFoVYBCIRZDRsl49LlJKToREIBe1StSMBGA3CyDAEh20BU3DY7kNRfKyF5VSUISrKJ0ydJhUrmllxxvE0n7gZPUfpyekipWR4dISBwDCDCQHR0EhgzPdmhSXR9OQ+zZ+6ixuWt7Bhxapx22z/1V8IHCycE3EhOXDPwwy+fJDK1csBePUP/5Ofn/TGjDbe6krev/W2DEFRz1e/zcBPb5jLUBcUMpx2ZhRC0LhlA4ee2V7EiArDa378RefkCJC0NQwD/w78t2N5HFtsJABO+0y+SmYZ3IbtUPSHPMs/CCz8N1KhUCgUCoVCsahQoiKFYmI04NPJicCd99D9H18uYjiKfOiOslcytIAScwsY4fXgf/NleDZtHLedlJLn9u/j+QP7C7bt1fUNvGLtOvQCCn9k9o3bGTgVKQqHyzA4fdN6li+p5cFtOxgd6EEO9sLS1VBWni6hVlUHJT5k+x47yZWHaDzO3x5/hlefeCz11ZWp+RlPOkuJ/9oPEfjh/2B1Ta00oygtxThiDcaKFWg1tXjOOCO9rMyP2g4GPwAAIABJREFU9+P/YbvXzKlobWpJbMUs09MGCVGRqK4rcjBZlPkRazakhUbSsl2MDrXZIqNDbTDYV9wYFxOuQjoV5UqsztLnPV/5s2kIgfI7FS0+UZHX48blcjEVaXXv8HDuBYYLSstgdGTq8S1CIn++EVFTg+u0s+2PwphD3+HE4vNhtKSNA6z/eRv07gfDnXCGc4Phsd9jgN7F4byQItALVZMTpQndsFOlkzDenI60I1VmLuFQaP3hh7bwyDTBjEE8MUw41GacF5KugpZpi5zMeHpeajrhQpgaNzPbWEmnRGthCxlnykI73zpFRQUQQekeN80nbmbFGSdQsaxhxv0BRGMxeocG6RsepD8wxGAwgDmZY2yaBqezhdswOGHtRhqra8dt9/Kt/6Tzia1zFNX0eP7633Hmt+xbe00nbMJbWU540P6O1dxuPvDC7XjK0w919H77B/R9O3eJTIVNvOMQsdY2XMuWAnD57T/hp1veQLCzp8iRTZ9V553KhksvcM76HOC8EPgG8DPgQuxP7G1AA3A7cOQE3QeACqAFyFcn8HfADVONW6FQKBQKhUKhmG2UqEihmJgWoAlAWpbtpKMSsvMSvbI8NW6NqATLbONedyT+N74erSJHGSkH4WiUB3Zsp2OgME94a0JwwpojWN+8tCD9ZaCciuY1K+rraKiq5OEXd7KnoxPZuscWZjS1pARBwlsCK9Yh2/faT8fnIRaPc8cTz3LhicfQUJ0QJOqOjJlpIgwX5R/9KOH77iV873128ikfLhfuo4/GfewxGC2rMp7yFn5/up0gU0QwV2QkKNR3WLGR3W2IFluMKQwDUVOH7JunN9+FhqhrRNQ1wuYT7HnBYWTbPqyXdyIPtUJo1E7Yzhc0HcorEOWV4CmxSwi63OBy2ed5y7TLCWYkmBMl96xk4jrxOXGW1RvvOyFVys/5SvaZKBeYKK8nkyUAhZZZ1s5VAr7axHpWIpkosUsbuhNl9LzgKrVLGJZUQkkFoqQCPKV5hT6p/bIcSfVkbCS2IR3lFZ1ZzOR6Zjw9lCY0rofyJWO2Y5UFoaQ8sb+J/UY6unSef+x900orM93UEvGw7BgoqUhsO5bYtqP0o2XZsZhxMKOJYQSi4eKXqhpNlKsxvGmhim4Agtr6JjojjrapkpK5CYbCeZdp/nIsJSpKEf7pDwj/dHIJ4KqndqXFxCXl9rEeDQGL/8EEecd34Jx3g68G3F5weVPuj3NNShAi7O3rb/1oUeLIRk7qWinr3CazhsnxrHNtul1SUJXdNsf3yZh5Vu5pSH+fOdexrKy+HN970oLq+vRuFelYmBIZ5c+m/3utYnkTy08/nuYTN2W400yHpIiod3iAnsEBhkby/w6ZLGMeeJljllRWcfwRGyidwBX4wD8eZd+dRXDdnCJbf/IHTvnCh3D7yhBCcPQ7LuHx7/8KgPc+cwv+xrTQf/BXv6P3q98uVqgLBynp/9H/Uv+1zwPgb1zCx9ru5/Hv/Yq/f/LrRQ5uekSDYyqOleZoNgDc6JgOAGcCh3K0deIHuoB8T5V0AddOHKVCoVAoFAqFQjH3KFGRQjExntRYPI7ZP1DEUBTjoTvquVuBQBEjWdyIslJ8F78W75ZjJmzbMzzEv158kZFI/oTYVPC63Jy1cSMNlVUTto23d9if1+SN9CSahjAMcBkIw4Uw9HTiQM+6id7dbjuKmGY6sSw0e6hp9hPshstO9HpL7eS1YlbxuF2cc+xRrGyo44GtO4gGh5C7n4cVRyJK7CdLheGCZWuQh/ZDYDBvX7F4nDsef5YLTzyWxpoqKEuLf5xuZ96zz8F71tlEX3iB2NatxHbssI8JQJSX4zn5JDwnn4woyXW/kcwyEkXLDcyzx54Pd0YDGSXQxOr181dUlAtfOWLd0ejrjs6cnxTkxGKJ8jgxZCyWELE4kqcpkUtiiATTQoZH7fWSoptkf0mEZp+ndd0+9+qGfT7XdVusV+pDlPmgpGxhlG8hcb5Kjq8/F5ZP/N069Y0IW9Cij//Tb0rvWPVyKPGPmW2V9CZERZNHW9KSKa5KxlM3fpmVcZGJck1WzC7NFAvbZZbiEfsVHc28NkiIk6RTQGU5nU7itluKZaaH2S+kLR4qqYCqZmg6aux1BVDTtJzOfe2JnRRoy1ZALIaMhJHhMETCGcf9uCVjPZ78yxTj4xQJTtclTNOhrNo+H2m6fUzFI/YxF4/M39Jeux5C7nooY5bUDSirRvvEral55s8+C8O99nWu24twe8FdAm5PQozkHHrA5bHbuLz2fLfHvjZ2edJ9LJBr5cm534jp2TPNdwpY8mu2kI5zpJiis6zudtF0wmZWnHE8lSuaph1DUkTUMzRA71BhRESQdcVuFsdByut2c9TKNaysn9jRbP/dD7HnlnvmIKqZEwuO0PXkCyw7+yQAlp1yLI9//1e8475fsWRj2r0ueNc/6PzkvxcrzAXHwC9+Tdl5Z+M7x3bn1XSdUz7xTnSPizuv/VKRo5s8nnIfZ37+QwhN4+V7Hmb1eacmF30JeBB4KP/agO1clM1zwAeAlaRFSOPZ1F4LKEtYhUKhUCgUCsW8ZP7fLVAois9eIAa4hNtN6UnHM/rwY8WOSZEDrSKdxJKBwtzUU2TiOXoTvtdfhOYrm7DtjvY2ntyzG6tArig1fj9nb9yEb4InJeNt7QRuuoV4e8fUNyIEtZ+9LjUpn7gH9mybwvqancwuKYUSXzrp4rbdJURyWku0M9ykBB6pp4vNdMJdSjsZ7PbayeDkU8WWiZ3IcDhoJBP0yTaRUYiEkbEoCGEncbwltvgp+fKUjp94j4YhErJLiUXDdrLfNNOJWEFaZJVM4JpmOgmbC8fT2DL7KWohEI0roK55wrd6VWM91X4fdz35HMOjIeT+nVC/DKrqEELYT9w3rYKuVuRgfrFG3DS584lnedUJx9DsSwsTzf4sZy0hcG/ahHvTJmQ4RHzfPkSZD2P58gljzXoDpth+FlBORfODOSiBZlkWZuIFdgkLbTYd2DTdfjncuKaSb12Mudlxyf5b5DtvzkfyfHdMzt0ju6tZ+MsLDQwNcIE7h+BTYguNwsMw0m8LQCjwMRgPgz72esmbSwjkciFcLoQvIdSKx5DhMDISQYZDmKaFnsONwylKU0we13mvTh130rJgsHPyK1fUQ8ORULscUdk4sauLZWY6fVlxh0ta9iueEGRGM53FnH1k92fG0tddZiwtaNL0LEeyCTDjjLlGee4++/ovwSS9eyYmKUZKvMSK9Yi3fMq+5tS0xHeJZn+Ok+OannneEYLUtbCmI5S7aMEQxXDUnCqO43qyf3t/cz0rzjiBpScdjeGd+j5KKeke7Kezv6+gIqIxOI5zazxR6Szgcbk4onk5a5qWYeQQxTqREnb/6S4O/vPROYquMJixWGrcsizecOO3WXnWSal5oSefof3d12aK2hXjE4/T9tZrqP3YB6n+8PvQSuz7Nce//3Lu/tjX5vw4ng7nf+vTnPKJq/Mt1oE/A5uA7nG6uSBrugM4B9vV6BO5VnjyRzdywgfe6pz1z8nEq1AoFAqFQqFQFAMlKlIoJiYM3EviB2LtZz5G6xvfjgxHxl9LMedojhJD5tBwESNZfGgV5fgvvQT3hnUTto3F4zyyayf7ursKtv3V9Q28Yu069AluGoeffJrAn28dv0zVeGQnXlxTdACQFowG7Bdj97+YUo6c2xaaLS5ye2yXCM2wk1TRqL0PRShnJMEuwXDE0YgNJ+R0eUhS6SvjklNP4M4nnqNnaBjZ1Wonv+qX2cIiIaBhObjcyJ72vP3ETZO7Wgd5VWcXS5faZfWs7nFcYwwD1/oNk94nZ8J8Xsh55kUQhxdSSmLxONF4nFjctF/B5zBFGbFYjFgsRmRgmGhfL7G4iWlZWJZF3LTH08O0SMiSEsuyEtVSpP1irJAoG0PXKfV4qPaVUeX3Ue33Ue3zUVFWOjviDkV+st9vuYASWHmOFUtO3VVhVoVu+RCkRQ3lSyAchECPLTIqFHnEHBllpvIJPgwXwpcWGenrNqAFh7H6+yCifoPMBOO0s/B99bvpGe3b0+Xq8qG7oGk9rDwWUdkwtQ0mxZYO89tZO9MmS7i5S9Jip5TTVtplS5qxLIFSok1JZaorKSWsOzEhZk+2dQqgrHS/lplwAovZ1+BJoVM8llssGUu4OY0M2dvqOoB84q6Z73/SUTQpQoL0dMpt1OE46nQgTboOOcVKyb+USC7THP1rmdsSWfNEjvmOPoTm2LYzNs0xLymkyohbd8TvnOeIL2Pc0Zfz/UiO+yrQTsjKgy8EgZZT8KHl/0RpLhdNxx/FijOOp6pleqWzw9EI+zs72N/ZwWiB3HfzITQt83dDfG6cimr8FbQ0NLG0rn5CMRFAPBzlhV/8id6tO+cgusLia0qXbm08dgM1a1tS05Gdu2m9/Grk6OIvg1lwYjF6v/E9hm+9nZYH70boOpqu03LuKbx894PFji4vmmHwriduovHYCX/bLwGuBy4j/6/pbIXyd7EFRWALjMZw/Pvekj3rDuDkiYJRKBQKhUKhUCiKgRIVKRST4xckREWlrziJpb/9Oe3XfAhrcKjIYSmcON1zrGFV/qxQuNcdSfmVlyMmUWJjcGSEf734AoOjIwXZtiYEJ6w5gvXNE9wEtiyCt/6N0MMFflJyGsnRBYW0IBS0X/OJ/i54/O/IXc8izrwYavOXJvC63bzulOP4xzPbONjdCwM9tjtT86rUk8uipgEMF7LzQM4Ermhahemr4O677+b888+nUdOwevKLiqbuDOEsf5Zf0WOaFn2BAD1Dw/QGAgRD4ZQQxbSshFAKBAJNEwhHvzJxb9MWo0h0TUPTBJYlbbewoQhC09B1HVp3oY2OTZxblhzjMpLs17ISw8RykVpui1iktMUE+XZPCNCElsiDaYm8XXo/kvuWauMoZSFJCGZkOp5cJGPPjsHOp9nbcfaVjFcI7PdLaKl4NE2gCZEp2HGs4+wnue1kbFKm17GkTImCcr4v+3oRXrsUjDU8hNy/N+/+FYq4aTI8Osrw6Cj7HeI5t2GwpLLCflWUs6SyAo9LuaDMKtklWxaSU1EeWYSVR8yWt5ekALTYeH32KxSAgTYwC1C2Kk9JHnMaf2fD7we/H62xGTkSRAaDyHAIUV+PGB4E00o5Fcpo1C6htphd6VxuWwwtLbvc4iQdJTxXXE3pJz6bmbR/6i/5V/DXwopjEMuOAmMBlJrTdPs4zp6n6Rl3fvJ+4korMibF5tNnHpOUCfekZFlMx3gsaouPks6V4ChLKLPKZlq2q1TSfUk62yTXlY51k+1yXBQ4h0kH0KTAynSIsCzLFnvKRDsBCJmKx75ISH72ZHo8G8tyiLPs7cmkSCtZ6lMkyio745kNhLBFcobLdkyta4JsUdFCwPFdoxsa/qYluEpLcJV6KamporTWftUcuRJXydQ/u1JKugb62d/ZzqG+njnT42tZpUDlLB0HLt2gtqKShqoaGmtqKfWM7wTsJNjRzdYf/57R7oVXoal8RTM1G9JlzmrXpcusxto7aL3s7VgDE4hMFeMS3bkHKxBEr7S/T0qqKyZYo7ic/LGrJiMoSvIG4JPAN/Ms/xpwPHAqMAzcApwP9ALfBl4DZNT2zeG0dhLQRB4RkkKhUCgUCoVCUUyUqEihmBw3ARcBVwCUnXU6K+++hbYr3kV0z+wnABWTI0NUNKQEX4Ui3t0z4ROrUkp2tLfx9N6900qW5cLrcnPWxo00VFaN284KjjD8q98S27u/INvNQNmeF5eBHuSt/wtHn4Y47sy8CVpD1zn/uM08/OJOdhxsh+AQ8sBLsGJtyhFCVNSAbiA79mUkasTyIxGlthOEaZrccdttbAqF2VxfP+NE9+DICJ2DgwQtC7Ov13aeGQkSe+a5hMuMLTiRUhIz4wyPhgpWLjAbPRRK3bS0giNQIOHfpJFgsshFetMhOGCXJQREma+oJlLReJy23j7aetNJosqyMpZUllNXUUF9ZQVVvrLiuMosVhZh+TPTnNrnXJsPgiInJX7wrIWB1ondayaiUO9R1nEiynyIMls44nndpciRPOfzaAQZCUMkYottYzFbcBSNImNRZDiEDAwjAwHk8JA9HgzMq2sfUV6B1tCIVt9oD2uXIMorbEFEBtJ2yInHkDHbLcce2uPaqiNwn/VKNMc1pbQs5HN3QKAXVm7JKE9GSQU0HIGoWTa3O1xsMkq5FegbKVnG1z150ULergoQzoIiKV5KlR12ODFBQgQVzxRfkWsc+zOjG/bLSUmWCA3Qyssp/8pX7c9RNGqLFhMdJT9fxONI07SHWdN2J7ZLknA6LzkdojQtYQblcI5K7qPjnJdaH2z3Ul1HGAau409ItfFWVXLmf35wqu9uTlKuRF0djIZn15UoF5or0yVIWjP/HLp0g0qfn0qfj4pSH5U+PxVlvmn9zmn91xPs/tPdC6KcVS6Ov+6anOXyzP4BWt/4duIdh4oQ1SLEKdydoth8rqlYltN98LdAOfC6HMu+AazDdi16KmtZF3A6dpm0Q8DvgHMTy24ErgRagOXYwqPX5AnraJSoSKFQKBQKhUIxD1GiIoVickjgKuzPzJsB3GtWseLuW2i/5oOM/uuhYsamSKCVlqbGTeVUVDCs/gFG7vg7votz3/MYHBnh4Z0v0TNcOCFXrb+cszYehc87fgIi3tbO0C9/jVWocnfZNxkXu1PRQkBKeO5BZOsuxDmXQUVNzmaapnH6pvW4dJ2t+w5COIR8+UVYtR6h28lH4auAZUcg2/aAGUesWItwJFOscJj4rl08PRpi9/79bFy2jJa6Orxu96TDjcbj7OroYHdnJwNB2wFKHx3BCIdS27B6F96TvYrZQQYGEAknLqHriDI/cmT+fH8NjowwODLCrnY7yeI2DBqrq2iuqWZVQz0lnsl/NopFOBq1y82ZJnHTtB2yEu44mki6UmmpcedyyHTAGs8pK+kc5nTGSo3nS9xNQ1QUi8UJRaKEo1GCo2GCo2GGR0YJjoaJ5kny6Zpmv/T0MOkQ5ozZfg8yY0qto2kYhp4a1yKlaO6SMX10dvcwODSMpmmJl0i9B873BGG/Y3Fg38FWvB4PbsOFYRgYhpYYGra72lyjaVCzwnbzCIxTCnMiEu+NZVmMjoYYDYUIRyIc6upiZGQEr9fLZCR6uj5Oq/GEqG4Pwu0B/1TEGBLZ14vV1YnV3YnVeQizvRXCs1wKRghEbV1aPFTfiN7QaJdonVwHCecVF8KbmoNWU4vrtDMRrsxzlTRN2PcUworDhrMKuScLG81xe2gxO10tFIQAoWeJvRzkEgkVAj1RYs3lQmQ5Fk5FhiK8XvTaOnAZaOUVYOh2D5pIDxNl5oRwzBfZLxBCQ5qmLYC0rAyBYD4B52SRUtI92M++Q+109vdOXuCvaXgr/Gi6hmVahAdm/lvY6VQkpZyyIKPE7aHS56fK56eizB6WTvB7ejKMdPay47d/ZXD3/hn3VSyWn3sKm8eWmiLe10/r668gunNPEaJapGSY9M7dd4m/uZ76zWvp33OQ/kkeq3vuepATr73SOasTeBvwY+dMyzTR0tekVydeXwS+kNWlBLYCR5EWFAG8NfGKAe8FXgu8D1uclI16clWhUCgUCoVCMS9RoiKFYvLEgcuBF4AvAeiVFSz7ww10ffrzDN7w26IGp7BvXCaxAvOsnNMCJ/TQI3iO3YxrefqJbcuy2HrwAFsP7C+ou8r65qWcsHrNhG4Y4SefJvDnW9NPxBaC7JvS8/zJusOKvi7kX36OeOVl0Lw6b7OTNxyJpmk89/J+27FgzwvQssFOrAKipAxWrAVLpspOAVijo8ReegmiMQCGR0d5dOdOHtu1i4bKSlqWLKFlyZK85aCGRkfZ0dbG7s5DxOLjCQPmQ5JuPsSgACAatksYJY/FukaYR6KibKLxOAe6ezjQ3cMjO3bicbkocbtxG0ZKfKIJgaHrGLqGrukYup5Rrs8pYHEKWTQh8Lpd9nSiDJ6eEKYkkYlychkv0yKeGA9HbbHNaCRKMBQmEAphzpPzeLaoRhPCFn0c7AUSbjQHn0kvS66TGI/F48TiZqoUYdGp6MmZzN6zdz+Hurqn1NWjTz4z7nJN09E1kUrmOI8fIQS6rmHoBpquYeg6LpcLt9uFx+3G6/FQVlpCSUmJPfR6cbnGxq3rCcGUrifETInjNxREDw2kBFWGrmeIs5LHaFKUFjctYvE4g4EROg8E6eofYmBoOCOptudgJ4d6+wHwGAZ+TaPc76PC76e0pGRsbPkEBTALwg+BqKlDr6lD37ApNdfq6cI6uB/z4H6sg/uQwRlcZ3u9aHX1aEvq0yKiuvoc7kMzxDBwnX42Iruc0MggHHwORgpb4sayrIXv5OY81pSo6PAgV1lgY+a3CYXLjffVr0ErgKAlk7ElsQ23i6YTj0ZotjNSaigEQrPdnURC4IpID8ORMHv272PXnj0EtRAsraFuaU1K9EqiNG9K6ERSFGs7KBlZwmozGqPtsedmtHdOF52JXIrKvF4qy/xU+vxU+8upKPNP6UGIyRAdHmHfHffT9uBTthhzgbLsrJO4+LbrnaIQAOI9vbS+/goiO3YWKbJFivOeyixdhwtN4xXXXUPLuadQt2EN/sa6jM/Pvz7//7j/v/5nwn5233E/2353O5suf21yVgPwELaTEACPfOt/eeH3d/Cep/6cvfonGSsqAqgHfp9nky7gv4BfApU5lj8PqANSoVAoFAqFQjEvUaIihWJqSODLwA7g10CJMAwavv0VPEdtoPs/voQMzb1NtsLGedMybykIxfSQksAf/kz1xz8Mukbv8DAP73yJgZHCibd0Tee0detoWVI/fkPLInjr3wg9/GjBtp1ijGuESqjMK2IR5N2/R5z+Ojhic95mJ65bgyYEz+zZB5aFfPkFWLnOFhQBIqsEhzUyYguKYmMFalJKDg0McGhggMd272JZTS0NlZVUlZUhkUTjJq19vbzc2TWnT2IqFhHzqATaVInEYkRisWKHsSCQUtpOR44/sNANtIQwVkoJ0QVUTiSPk99siCosy7RzUgUSEXu9XirL/SypraWiwj/xCiP9EBmd+oYqGnIKr5yOV5FIhHBolJ5+28HO5XJR4fNTUe5PiYzGfU/nSDSn1dWj1dVjHHcSAHKgzxYYtR7E7GhD9nZnihO8XkRJGaKsDK2mFlFXj1a3BK2uHuEvn5OYXccelyGOkCMD0PUy9LfNuG8pJR09/expPcShvgECIyGkBMPQcBkGbsPAZei4EgI1Q0+K0mwxmiaSQ5Exbej2+q6EiC0pWHO6hCXFbEmB20xLtWagREWHIXn+zpo2o/OLVlkxC4Ki3OhuF43Hrp90+46ODnbs2MG+ffuwLAsMgbdy5ucl3e1Cc7uwojO4Lsr4ONt/G03TKC8to7LMR0WZXcasssyPqwDir3yEB4Y5+M9HaX/gScyZ7M88YNlZJ3HJ7T/GVZop2o1393DwkrcS3bm7SJEtYhzfS7N1mfKq73025TBkxuJjytqd9cUP07P9Zbb/6a5x+1myaS0bLrsge3ZKUNT+xFbu/dx3MaMxvlFzEp/qe9zZrgzYCLzomHcEcA+wYpzNJlXNudp8ftyAFQqFQqFQKBSKIqJERQrF9PgzsA+4DWgGqHrnFZSefDxtV7yL2IHWogZ3uCK8ntS4pURFBcfs6mb47/9g5xGr2N7WOm4ZmKlSUVrK2Rs3UVlWNm47KzjC8K9+S2zv/oJtO4MxTkULKMF7uGCZyPv/AsEhxLGn5212/NrVCCF4erftHi73vwRL1yD8FZndjYbyCorGbNqSHOjp4UDPDMrhKBRZyMDgvC6BpphNCigGmGvyCA7c7gK7zcwC4XCYznCYzu4efL4yVq9YTnn5OOKi0iqIRSZVni6DPGIPy8yfYYvFYvQO9NM7kHAycrtZ2tBId28fS2pzlP8skvBDVNVgVNXA0cclA7Ezh1LapZPmw7Gd7fC04/4ZdxmORNl1sIPt+1oZDo4tCRePW8TjUUJEZ7ytyZIWGSWctnQNj8uFaVkZzlrJccMhckoKmpJiJ30YDFmFrutoVhyttz8lfLKd6BxiqER5Q03YpREVC5TZOoVknf+sYBAZiSS2KTNeMms63zJRUoLR0DCtcMLhMLt27WLHjh0MDRWuZHc2MxX5uV1umpubqauro8Lvpzvkwl9SOicuaJZp0b99D+0PP0PP8y8tCmHh8nNP4eLbrh8jKIq1d9B62ZVEd71cpMgWN8JxDVBIh6uqVctoPulozEg0o2SZnnagtCBdWfaC7/4bO2/7Z4YwzvB6aDnnZFaffxprXn0GNUesHHebf7z02tT6of5BfrjuQt6/9Vb0tCvY34HTsUuWbcQWFDWO0+Ug8P7EePaHbBtw+7gBKRQKhUKhUCgURUSJihSK6fMM8ArgZuA4AM/6taz819/o/PCnCfz1zqIGdzgiHHbfqvzZ7BC67wEO6iDdhfv6aFmyhFccuW7Cpy3jbe0M/fLXWEPDBdt2NkLLuhG8CG6mLlqevg85GkCc+uq8TY47chWaJnhyZ+KGsSeXQ9HOSQmKZobjuFKHlCKbaAgZCSE8C6MEmqKAFNJhZK7JI7DxlZXOcSAzIxgc4fkXd7CsuYkVS5vHXgeA/XcqrYBgf0G2aTldniY4BCLRKB3d3dx6zz2U+3wsa2qipqqSqvIKyv0+jHlznSLGiniKTHz3TvRlDhOAqiYY6JhWX529A+zY38be9i7McURhxcA07TKQBTETKe9F7LHLF8pYFLlv26RXtcte6hmiJUPXE45NOi7dSDkxOYeGo6whpD8SzvKPdsUpkRIxpeY5S1LlWDe5npPkQxHJj06ydGG2E5SeKJ+VS8xhWRZSSsd2FvC5PN+F6QzPLU73TmlZhG69dUb9JYk3N+E++RREshyxZWGNjoJpgpTEYzFCoRCB4WHZGYK3AAAgAElEQVSGA8MEAkEGh4Y40NpquxIl40qKldIBj53vGMrs+Y5xY/nyVDdTORR0TaPS56fKX06Vr5wqfznN649gzQX2QxNmLEak7PmpvD1TJjwwTP9Le+l7YTe9L+zCjMydIHK2WXHeqVx8648wSjJ//4Vf2EHbW64ifqirSJEdBmSU8Zv5d2b5skbO+8Z1bHzThWMcibLYAbwbuA/wlC9toOXcU9hz5wOU1lZx6qffzbHXXEZJVcV4faR48Y93MtzWmTGvb+debn7bp7j0d99OltNrwhYSvQ/4E5Bte2YB/wYMAEHgbiB5QflL4GrAA7QClwILt86gQqFQKBQKhWLRo0RFCsXMOIgtLPoKdj1t9PJymm+4nshLuwg99SxDv/8zoUefKGqQhwvC8XS8DI19elgxczTLYvO2HTy85agZJ0M1ITh+9Ro2LF02YdvwE08RuPm2gpU+USwSdjyFNON2ObQ8x+Oxa1oQCJ4MaQi3w80sECC2a9ccCIqYF4YNGcyXHLQiTWAAPAuzBJriMCUeBc9YAVG5z4emaXbydgHR2t5BOBxm7ZrVuYVF7lIwRiAemUKvuRNfGaUyJ3EtlWwyHAzy4q5dmVs41I7LIWzQNIFLN/C47BJcbsNIiT1cjqFL1/G63ZR5PZR5PLNaRqcQDI+O0h8I0hcMMhAMMhqJEDcthBC2y46mYWh6alxPiFpKXV5cZT572tLQD7RjJMQuSXcepwAmWWbM0DVMy2JPayfb97XSP3SYPKyQcTxO7ZsobprEC+hIMZ8QQiAQSGTeUrdCCLQ8AiMtIU5Kl7uzp3VNS4maAGJxM9WPs51I9G8lxC1Wojxz8hh2CqecQiznPNO0iJsmscTfKRZP/L0MF8b+gB2PrqeG0aefQdc0XIaesU+Gli7FlxJjCS29P4l9EaMhPNu32/GaJqOtrSlxjiRREjRrHEhNjxmXEktKrJdewrrnH5iWRTQeJxKLETVNorEY0Xgca66FlrqeISoa76K/vNRHTXmFLSLyl+d0IHIeX4UWq0WDowRaOwm2dxE42MHQ3lZCvQMF3cZ8YeUFp3PRX/4Hw+FkDTBy/0O0v+P9WAEl3p9VHMeuzFMudzLUb17LyrNO4lXf/9xkV9kIvB5bwNOQ7KPlnJM57j1vxlPum9L2N77pQv752e8w8PLBjPnbb7oTb4WP1/3sy8lZq7Adi3LxAeAneZY9mYhzNbAVWNi1BhUKhUKhUCgUi575ffdQoVgYRIHrgKeBnwE+AM+6I/GsO5LKt72Zwd/+kc6P/Zv9BJ1iVhAeD0JPPyFtDgyO01oxEyoPdbGqr5m9tdXT7qPU7eGsjUexpGL8p8RkPE7wz7cSfvLpaW9rKsjsp8/1+V/G5bBn13P20+JnXJQ3OXvMuedjhASPPfYYYNuwx1tbER4PeDyJvJnzaeUpTNsZD0R1FfqSJchwGPPgwfRTmVKiOY5zraQEsWmLPSGc/QHSSvWHcG5SJv7JMfMyENkjMj3teG9E48rE91GOxEu+BEZqfq6Eo0jMdi4TOUKR6QmZZ5gxnhHA2M3nDjTPuGPbdnouHbPALtuTEY/jKXQhsp5az1ru/LvhLNVhZQ6j4aztOOKKhtNR6zqiqhYZGAIzrhzTFjUL+G9r5nYz0HSduppqunp65zigmdPT14/L5WJ1y4rcDUrKITCF8pd5zlcZgqtJfL61XCKnBPF4nHgBzhEuQ6fM66WqrIwqn49qv48anx9flsPDbGNZFgMjI/QHgvQGAvQHAvQHgkSnKSoXt/4F/Yi1qeS87G6D0dkrfbTgEQ6Bg/ruSWGLX8Z/P6SUmAvxPdNNtOGxLrCRwZmJTYTPhztxrpOWRXT37hn1txApL/VRW1FJXWUVtRWVeFzuiVeypiY6zUeod4Dhg4cIth4i0NpJoPUQkaHDQ0jTcuEZvO4vP8LIKsc69MebOfThT0NM6TZmG+EoiWlGpvZ+G14PzScdzblf+zjLTjl2vKb3AOflmH+dc+KVX/9krnVHsB2D7gHuwHYJqgNeAqqcDT+85x4e/fYv2HzlxWgug87nXuKp63/HMz+/CW9VBed947oxnTv4AvkFRUkGse8lKxQKhUKhUCgU8x4lKlIoCsfvsX8M/gQ427mg8oo34dmwlrYr3oXZNYVkhGLSaBWZLsPxQ515WioKwRFPb6Pz3NMYNaZe6qKxsoozN2zE6x7/xqrZP8DwDb8h3nFoumFOnWzh3zT2T1EEdj+PlBbizEvG3oAv8yPWbGZz4mnvRx55BKHruDdsmJ1YSkvRq8cX3DkFkJmMf7wV6nll4XKD0svNGoX4O2nLWlLjyafWhRA5HBJyiMvslbLaZAvSZCJxlRA9jYtIbychkpKWBOk4X1pOIZUFpmWXx7JM+7yaKEuS3HxKfGVlia/isdlLZIuEuM4pHFNMn3jU/vvmKHm1tLmRrt6+Bfked3R2UVtdTUWFf+xClwd0fQoPCeQ+G1jOpPEk3iIhxi31URBicZPB4AiDwRH2dXWn5pd5vTRWVdJQVUlDZRUVBSxvF4nFGAiO0JcQDvUFAwwERwrqciUDw8ho1BYRA5RVKlHReDivoayF9/lVTIdZ+jtP0ZFt4ZLez+rqakqXr6Rcd09eRJSN872axJ9GSgh19zF8sIPhAx0EDh4i0HqIeCg88cqLkCPf/Gou/M030bPc93q/80N6v/KtIkV1+JEqTwjEQ+M7PFatWsaGy17FstO2UL/pSCpXLp3sZr4NvAb4CLaQaMkk1hkAvop9zzZbZdcNnIjtLPQOIPWD/pRPXJ1q1HL2SbScfRJ77rqU29/7n3gr/Zz+2ffl2tYPgP+a7M4oFAqFQqFQKBQLASUqUigKy27gHGATsAX7B+6xACXHHs3yv/yOgxdfjtmthEWFRq9OP1AkpcTq6x+ntWKmGLEYm7fv4bHNa6e03ublKzi2ZdWEdu6RF3cQ+P1NyLm+IZqdyDKU8mLBsGcb0jIRZ78h40l7seWs1PF21FFHYRgGDzzwQLGiVCimjPN8OfbcKQqnNpsCs7XJfGVlCkX2+5d7e3mEWrMRj6PsiRACuXRzZhzZ5BSAJV28JviryIRLliXTAiszl/tLlksXIlP4hUw7buku0FxjYi11l7Js+Upa29oc3WYJ3fLs4pgFThezOWLvgYMcu3lj7oVGCZiTKYWV/7M51eNc1/KJimZfHDcSDrPnUCd7EmL9ErfbFhhVVVFXXk61z4eujy96isXjDI6MMhAMMjAykhqOhqdSSm76yL5eaGq2J0rKM93nFJlkCNgWVglDxTRRH4Vp4zYMVjU1sea882hsbMTr9fLCH+4gMjjW+WnSZHxvZP5xrFicQHsXwdZOAm22+1CwvQszkts58HDj5P/4IK/4rw9nzJPRKJ2f/jxDv/pdkaI6DMkSdMXCY+/nCE1jxZknctJH3s66i8+dqMfngaNzzL8L8AA/xXYsOn+Cfr4C/DdjxURO9gAfB0wgp8VRkjWvOp33v3A7d3zgi/zy9LfyzgdvdC6+AftesDrDKhQKhUKhUCgWFUpUpFDMDtsSr5uxf+S+BcBz5BqW/vZnHHjVpaoUWoHRKx1ltAr4hLMiPzUHW1m+rJGDVeUTti3zeDnlyLUsrakZv6GUjNxxN6P3FU/0IU0z7SSjq6/JBcXe7UhLIs691E6MLT8C4cks3bJ27Vrcbjf3338/0ejMbsJPJI5zIs0YjAxCNJROzDsT90IAGmiJIVZiSGbpMZE1HLulRL/JPh2lumRCTKBpmcud/chxkvcpt5scgoPUuo7lY/rRMuNO7beztFn2PjvjmgzZJdZw9J3clhwbq9Dyx+V8j1JxJfZFOOc7yqolp4VAuNLH4HhiguTxpOs6uq5jGAaGYWRMO4eapqFpGkKIjFdyfnK95EtKSSQSYXBwkP7+foaGhmZdxDNVpvKZmr3tFUeoBZkio9zMxD1PzxjY47MnnF15xDpGoib9/cUQeU8kWhqfYAwCcR2/3z+2E4/PdmlKCrRS5xPLca5NnBNdJZnnmsT4mBJJuY5DRzlLzTAS1yVZx6aUUFqWGaPMGk++rISLWNJ9Zpqf/VA0yr6u7pSbkaZpVPnK8BiujN0Ix2KEozGi8Rix+Cz85jEMREkp6BpIiTRNiMftl9MZDbC6O9Eam+xzpKYjS8qVW1E+MlxS5tf3g2K2yPd3FuMsO7ypKy9nXXMzLUuWYHjclLW0TLzSJBGOk7y0LPbd+QDB9m4CrYcY7V6YDoCzjdB1Lrr5h6y+6JyM+bHWNtqv/iDhZ54vUmSHJyLL6TkeTv/erl6zghOvfRsb33Qhvoa6ibp6HvgYcB9QAfw7Y4U+lwNXAWeltxfB8Hqy+/oC8MXJ7QEAj+SYdyvwPeBTwIUAHn8Zr//1N3jiB7/ObvtB1AlUoVAoFAqFQrEIUdlShWJ2CWD/0N1Owvq2ZMsxlL/xEoZ//+eiBrbYcIqKZDzXk/eK2WDt08/Rfc7phLX8Gdh1zUs5rmUVLmP8rxwrEGT4178jtndfocOcPC5XZmmq0EjxYlFMj/07kP/8E/+fvfMOb+Us0/7vnRkVF7kel+Nj+/Sc5JzkpPdCIKSHECDssuHLsrvUsLDwwcLu0hbIfktbFjYQICw1lDRIIAQICS29F1JPktO7j3u3Jc283x+jMpIlW7Zlq/j5XZcuzbzTHkmj0Wjee+5bnXM5quOwRLMe7oaXHwBgNdC0LsiDz+xi5/5DWVY0M6lXCr2dL56OXysQi3WavYAp4LdorA0R9PuxYvulo51YH7HGiXVcuxoWd4OGoTCUiaMdHMdJjMedJGzbwXYcdHxZpRLDhhETpjBV2JCYltbfqBQYyvAsmxk3OUvjODpWu06O4xnWNhoS8TdxoUz668xEYr4Ms8TjhrTWMSGOW7dSCkdrHMd9v+Lbdhz3/XVfk4rpjFzBTryO+PuRrC+5/aTAx8TaeBKWZeHz+bB2PI0/PILPMvGZFn6fhWWa7rhlYp3+RsyYQ1pkywvYW1+JxUvFxQA2aIVyHNAKtOEKooyYECoujtIKpQ2wlWe64YqcljVASxO21vQNj3BooJ9DPb0c6utleHg0VUuVsk8rV/OlDDCM1EimeLvybM8wY/MpNzLK+1nNKJ4RSh2lFBs3bmTLli309PQs9tZTnuZCb/8ANXX1UyeYPvAFp7bPAq083wfTRFVVTzu/VVuH0ZBZlJ2tPac6HMcjONLub4FnPHEMCE+ih4Zw+nunRGI5jkPv0HQ3/ecRvx+zYyUqVDNNjKhLQjDpiY+Mo5pXo0cHSAq9Yq/ZjpKIcIwv63Xp0nYystGxY8s75RUTJqIiIYbVHosgigut4/uG4RF/K5LuVvFzodh0FZr+uFZq+EyTta2tbGhrozHkicecohGd/Q9PZHySwV37GNi5j9pV7ay74EzAdSba9ss/zKfssqd6RQtveegmajqWp7SP3PVH9r/3Qzj9AwWqbOli1teljI8e6qWqZRmv/cI/c8zb3pBtsRdxb8h8EngK6CHVUWgQN+LsfuAXnvYfeFey5Re/59CzL3PWJ9/rbb6O2QmKAG7DvTH0ncAo8GfgG8AkcA9wJfBNoBLgpPdfmb78+Cy3JwiCIAiCIAglgYiKBGFxuBo4HLgCoPF972Lo5tvEUSePGNVVyZFIpHCFLDH8E2E2vbydJw5fO2VaTUUlp284nJa6ugxLphLZsYuhH92AMzQPu/g8oPz+1IbRwtYjzJGdW9CP3I167V8l27q2pcxSXVnBeaccw8DwKH95eQev7DmQEJ7MjbRon/hoxLV8Nw2DUFUFhlKu0McwksPKwIqJSioCfhprQzQ31FLrPa4JpUmgGnXkKUCsk3t8Bzih7POPDkCte+eu0dRC9JmnM86Wr67e+thjQ4UfVixnIhyme2iIroFBuoeG6B4cIrKQzopepydDoUzLE78Tc4iKC6a8Hdzxjv2U9ShUdTXWqqRjgO56KTYQd5RxSBWcZHKa8nSepiqsZvviph1NNKS4g8UFiRlcvfDW5SFTrFhGl7CY4CtYiwq6nb3ajsBAb1pJcXGa100t7qIWczrzdiIbBlj+5AoSb50ryDvi8A3s3xdi9969RMLh1NdVxAwPL5xQxpnl+b+xQCK8hLgvJtDJ/qmEoGEZRls7TncXTvehxXVctSzMVatRNXU5d9gr77El0/Sqmc9NZ4OOO0GliJA8w47XzSo9TtDjeBVfzvEsnzItw7rzqf0RHdHSI8vxyGxry982SligtiwUYsOKFaxpbp7xBhkg6zEnjnY0Azv30b9jb0JINHoo+Tu86a8vSgw7C+HyVkYc+/4rOft/Pp7yu+BMTtLzn1+m79r/Len9rpTxrV6VGNaOQ+O6lbzll9+gctkUoXYEuBtX9PMrZv4FqgGex409uyB94u4HnuSuf/4CVz1zu7f5DlzXoLlwU+yRjgauxxU/PQRk+sN+JK5zvSAIgiAIgiCUFSIqEoTF4z+IiYoCR2yg6pxXMXr3nwpcUvlgVCfvhtRhERUtJq1bd9C2Yjn7Q5WA69ZxZGcnx6xajZlDR9jYvfczesedRSGyU760n8XI/OKxhAJy5CmJi8w6MgmDXRlnqwtV8arjj+TETet5Zfd+duw/xKG+/MWiVFcGOXJtJxtWriDgX7ioIaFICVQmh+MOINNxYFtCVGQ2NqIqq9Bji+eYFvT76Vi2jI5lywBXCNU3MsL+vn52HDpE92CehZZeNxEH9Hw70DzuJVpriCydG4UrgwFCVRUJV7M4juNgOzaOo7EdBztQh1NV5bqDTYyih7o97mc6RfCiNQlHtGkJVKDqssdYtFUHad2whv6BQXr7BxgaGWF8YiJz91HG/tjpBSKpy3nmSReHZUrz8fkT8yUitIDh3l6c0dHkejxiKD0xAVq7vzFxsVV8OC4AMw2U5UutOTZsz1KQYxjGnKIK8x0nqPx+zBUdGK3Lcbq7cboOJN6vBcE0MTtXoerqM7qb6YQwRxXc/czdfmFqSDhOxR3tEhGrOYiaHE8cq3bA54mMCQShvtV1ZYq7M8WXcTzOTY6dXI9Qgmj05DgqULFwW5hn3PBiY5kma1ta2LBiBctC0wjBMzAlvdfR9O/YS+/LO+h9aQf92/dgT3Otwgwkb3BxIuK+nInWk4/mkpu+Qs3KFSntE8+9yIGr/i+TL2wpUGUCgH9VZ2JYGQb/8MAN6bNsB64BfoLrSDQTCvg48EnAD+zPNNOuPz/CWZ+4Cl9l4ljWD1wFLJQ671ng7cBPmXoCUDt1dkEQBEEQBEEofURUJAiLx4u4d+C8DqD+nX/H6J/uW9iL8UsII3nxoOQuXJYDGx//C92vOplQTS1nHH44DdUzX4DVk5MM3/RzJp95bhEqzA2VfgdqeKIwhQjzxth8WnJksIuZOrsqgwGOPmw1Rx+2mpGxcbbv6+KV3QfoHZybW0VVRYCTNq1nbXvrgrlMCCWA33Pzqp3D733ffrRjowxXGGJ2dBJ96cUFKm5mlFI0hkI0hkIctbIz4WQ0MDrGeDjMRDjMRCTiilUcB0drbNvGdhyitkPUsYnaDlq7MXewwDeOKwgEAlRWVhIMBqgyuwlVVVBVEUhEzSml3Ii7WOSed1hrPUVc4426czcxVajhfW3xdQCJmD9vu5sq5W7PG5/n3b4bCZi6LtM08Fs+fD6ToN9PMOAj6PdTGfQTqqrAnCEOKsHyI1FNrrugHh5APzZ9fJaOvRfRWHRi1LaTkYGeD1PXLoPG1sR7GrVtd1+w7bTIQ3d/sG2H8YlxJiYnCUeihMNhd92OE4tpdJd11+PE1uMktu1q9OLrsolEo9iOQyQSIRKJEI5EGJ+YJBwOJ97bjASDEBPtRMfHcewojqOJhsNMDgzgTxcbA05PL3p0ZPr32e/HXL4cwzBorK+ndVkTjQ31VAaD9O/dywgwMDDA0NAQ9kgWsV6sZGNkCN2Xod8tEobujH1rsHoDqrrGXc1oPwzujzlOxfeTuOuUmRZdGHeiirllKQX+avAFklGPpoXZuhyjqRmn+1D+xUWGwuhYhdHQOEUspG0bhrphuA8ik4kDio7HMMUfRobnuhZU0D0ma8eBsWESgjAz9t7EIyTjr51UQVki4inPgq35kHyPTMjxMJDTek0fqmnFzDPGSI+cS7o2Okk3prgDU4owKS5ySnVa0ykRnCTniQuo4pNT5vM4RZpmLNIuw3d/ivJDgxONxeDZybri9WZkPk52xYU+sAMal6NCSScRZ2Ji6mcTG9Zp44npcVGqR0StI2Hsg5mF/cVGQ3U1G1asYG1LC/5cXIlgyv6ltaZv2x56X9pB78szi4jSsQJJYZ8t7sspVDY3cvHNX6X9rBNTjsHacej7+rfp+dx/y3WgIqDyrNOmm3wj8A/MLh7srbjO73Gm2Kj1b9/DPZ+9lg8ffMDb/EFg7yy2MxduAjYDH/O0HQKeWeDtCoIgCIIgCEJBEFGRICwu3yUmKqo+51WsvONm9v3de4gePFTgskofFUxegJOLSYtPYHSUM/d10372a3ISUER272H4hluwu3O5OW0RmSIqmixMHcL8aUpeb9TP/s51jKjMLe6kurKCzetXsXn9KvoGh9l9sIf93X10DwwyGc7ecRrwW7Q01LG6rYW17a1YVh5794TSxOtUFM3xeDLcD7WuU5DR3gEFFBWlk3Qymt96vOIdrV0HnclolKhtp4huHO0KWbydR6ZhJB6WZ9g0DHwtrVScc15sGw48W/qdvXlHeX6jc3AhUkphmmYOoqUwytIwjWNRIYhGo4yMjvHMi1vYsnXb1Bmq61A+10XOGR9HD7sCH8dxuPTcc6mrqSEaEyzFRU6RvXuIHDyYFNJ5hGmWaWCZJlaohtCmTdSGQlhp5xZ1tbU01NbS2dmJHY0ytHc3Q8PDDA4PMzQ8gp3maJb1vGqazy9FMqEdsOfZOW0F0PUdEKjyiIvM/IqLlMJo78RY1jRVTOTYMNgDA12ZBZqa2PsxzT7tD0JMVITW6D1b51yqNhSYlitEMiwsv59VHe1UVFYSdjQRRxOxHaJaY2uN7UBUO0RtjYPG0STEmCnxhnFxV3pMoOcYWEyCJi/ZI+fmJnYqpleZLkpM/wxydxLTaRok7XmKRX4q77hn/kQcpUrVM6VEaE7d3JRpOn2b8efU71zkuecWN+awQFimyermZja0tdFcOxdzkdT396Gv/IB9D2WOrs0FM5B0NRWnIhcrGOS1132Gw9/6Ooy0c5GJp5/l4Ec+wcSTfylQdYKXyjNPpfbNb8g06QXge8D/ALPdsS+baYYfnH0lFY31VNSnfId/OcvtzJWrgfXARcBWXHekPFu7CoIgCIIgCEJxIKIiQVhcbgd+C1wIUHHicay+73d0/+eXGfjBTxb49v3yRnnu6tPi/lQQKv7yLNFTTsS/fl3WeXQkwuhv7mL8/geLcn+PdywmEKei0iXoEXMcfBm9/THY+GpUx+bpI3TSaKgN0VAb4pgNqwEYm5hkdHyCcCSKUgq/z8JnmQR8PoKeyAJBAMAXTA7nejw5uC0hKjIbl6VGoDmO+xsXf8RibLTjcYDQGqJRN0osGklGOpkmRn09RuMy17WjgMTdf+JV+HAFS/PFMD1/bYrvJ6Y48IqK8hw7qrv2QDSMWtZGsUgCLMuirraG1Z3tmUVFWTAMg2jUJhgIgOccE8CJRGZ0kFA1NVj19VPanQyCodpQiNpQiI7Y9IGhIbp7++jt73dFdUaW93K686h8C0+ik9C9FQwL3dABwZos4qIunIMHZidGUApjRQdGU3MGMZEDw73QfxCi8xRGTYylbHNeOBqcCPUhPxtXrmD9iuUZXa1yWlXC5c0hYtuEI9GYUM117XK0Jhp30HJsbEdhK0VUGURRRFE4hhkTMCmi2s16sXz+mJOcdqc5mqh2XIFTzEVuiqDJtFIdQMITMacnheteVfiouUIwk5Ard6GXKpZD48wUqXgtX9RXV7OhrY11ra25uxJ50ZroK68w+fhjVP3NFcnmeca4mp6oZG0XPhq8kFiVFbz2m59mw99cgpl2fI12ddP9H19k8IafFeU1haWC8vupedOlVJ5xKv71awkefWT6LFtwRTc3MfcYspqZZvjbP/yA2//BaxZEmMUT9kwAf0XmkF1BEARBEARBKCtEVCQIi4sGLge+Dvw9gNlQT+t//QdVrz6TAx/4F5z+gYIWWKooT2eklrv6CsbwLbfR8JEPThXnAOFXtjJ8y204ff0FqCw3lMdZJve7joWixNsZYphuh+gzd6J3PAHrTkG1HTGnDpPKYIDKYGDmGfNJZAKiMQe2uItBPLoGknepa9zIDq2TMS6O7T7ijhaGGZumUu+Mh5ggJUMHhtbJ9rhoJd4RqR3XESbens05wxuvoxRKmSnj7iOtDZKvi7SIjYx4o1e886U5P8TrdRx3vvh7lXgoTwwOqa8t8Rp12vuStu14rR6Rix7ogr1b3MieaNh9RCbdCKNo2HUSicSe//UW110LiG59mfEffMcVBuVDBGKaGMuaMJa3YXZ0Yq7owGhpKY8OxBTxhRzDM+J9j3JwKpo1vV3osRFU22qwikdoWREMzjxTGuOTWYSAOXRAZxMZpIuK0jEMg4a6Ohrq6rBtm/7BQdpamqkJhRgYGiKac4f1An0XnCj07JhGXNSG0diEc3A/TvehGYVPRtsKjObWqWIi7bgRZ/0H3eNiPvAno5Ln0wltGIo1y1vYuLKd1obcHBCnX5+BgeuYEsAHFTMukjfigqZ4zKBzwjk4gQrXlWvn80T3vozj6GTEpWO749r1hIq7MNkaoloT1RCxNTYQdVwhU8R2iDgOEVsTdTQRx3H9pJTpnscYsXOaOBm/O/HzBJLzJuZTKbOhFMr0CDOiEc9yXucfz+oN9zxhKQqmsqFMs2xu1LFMk6pAgJqKCpbV1LCioWGOrkSgR4YJP/44k48+ih4YmCLSnu8+ZJjJ5fUScLrAazIAACAASURBVIrKhL+6knO+fTUb3nwBRtrvrTM+Qd83/pe+r12HMzxDDKmwoARPOI62676Kf1VnpsmTwIeBa/OwqT8A5043Q+P6VZz7pY96mwwggCv4WSzkj4cgCIIgCIJQ9oioSBAWnzHg7cBDwH8D1QChi8+n4vhj2f/uDzB2/0OFrK808V7Ac5bmBbhiwOnrZ/S3d1F96cWJNj0+zsjtv2HisScKWFmOmPKzWDYM9UNDMwCqfRN6yz1u+3A3PPUr9JZ7Yc2JqI6jCtvxHRem2BGwI64rwNgAjPZB/373MVl+F82XylVXtfn85Miz98BDt+W24O7nYc0xAARe/VrGv/2N/BVl2zhdB3G6DhJ9+km3ze/HXNGO2d6B0d6J2d6BqqrK3zYXi3IQRi043vOlBfomjo+idzwPNY2o+mY3dqrAzEVUFMkiUlczRsGR6gjlwZ6F84RpmixraOD4o47iqMM3oLVmZHSUoZERhkdGGeo+yORunxsniCsQsR2HyUiUaHMTEV+ASCRCeHKQqDJw8ikim05c5PNhdqxENbXg7NuDHpgqJjdal2O0tk15L7XWMNLviomyuLsppairrqKmqsI1ZrNtbMdJCGOitpPSprV2P4+65uRKJsdn/ZLrqitZt6KVIzrbqSgTZ0KvoAlA1daiKtxjvx5pRE80LMh2ndhnE4naiRhMwPPsxmDG21ydbjIy0zsfpM1bUYNx5Bnu/I6D/ac7YtM1KiZA8or+3JhNOyme0mCjcVA4GrRS7nYVKAwMBYZy15SoCfe8Jj4c/y1SrR0YLSvcOsZGiO58AQf30GtrNwZP69hySuEzTYjFftpxrbhOrtdQytU9K+U65TgOtltYys0Q8ffLLSKuBTfw+Xz4fBaW5T58Ph9KKRzt4GiFU9eMbds4jsPYjh1ExsaIeoSQjuMkjjN2LPoxnzdhGCr5+SSOJ57Py1DKfRgGhmHgM038lkXAsvD7fPgtC79p4rMsgj4f1RUVhIJBKgPzvxkgunUr4UcfIfLCC6kC7/RovHmKirzHRJ1nN8Fip+WEI3nVl/+VttOPmxJzpqNRBm/8OT1f+ArR/QcLVKFgtjRRc+lFVL36LKpec1bGG8mA7cCVwIN52ux/AytxY8Xi7AT+E3gPcBxA+ynHeJeJAG8DrstTDYIgCIIgCIIgIKIiQSgUGvhf4A7cbPELAKzWZjpu/TE9X/wfer9y7eyiA5Y4KXeEL5Xe6iJl/L4HCR57NFZHO5PPPMfwrbejR0pEFCF3KJcNetvzqJioiGNfB/d8HyKeTsTxQXj+9664aPkGWL4B1bTKdahZiHoGu2D3X+DgK64rjbaTTjlCmaIg1JQc7dqe85L63htRMVGR7+hjMZa34RzYn+8Ck4TD2Du2Y+9I1qjqGzBXrcY6fCPWmnUwx2ifRSWLkGNpoVMPK+lCq5TxBeywdDQM9KAHeqCiCkJ1qIpqCFQU5HPyzSHeJpzNISeXc4UskWVzEfaYMecKpRSh6mpC1dUA6OZ6CGXuLDfOOA9V68av6e5tsO85HMchErWJRKOMT4QZnZhgdNyN9BwcGaN3YJih0bGM68uKV1zUuBIC1UkBQDCIsXY9zvgYurcHZ2AAIxTCaGvP2BGp485EHjGRZZo01FSzrLaGxtoQjbUhGkLVWFbuv9WO4xBtXo3dcQS2bROJRIg+9geiK0KpgiQnKUhyxUjgtyyqK4I01dVQXVF4cdyCk/J/auHOTwzDwG8Y+DN3SM+P6nqM9nYgJvppaZphgYVDHbYRY+0Rbi0jA2j/cMFqmRHLh3FaUgg9Fomgx2Y+HmiddLKyY85X6UIgcD/zlPEMAqJiQ4+OEH7iCcKPPorT15dlpnRR0fxei1eUpBdK+FtEBOpqOPlj72bj295ARVPDlH1Bh8MM3vAzev/nm0R27SlQlQJA5dln0v6jb2NUTrHTiwLXA/cBrwCPxNryRQR4L+510zOB3bjXUSeBnwB/AdalLVMBfA14FHgqj7UIgiAIgiAIwpKmBHoHBKGsOQBcDHwQ+BzgV6ZJ0799iIoTjmX/O98vts5zQWKrCovWDN34M6yWZiafea7Q1cyK+V4IFooH/eMvoU842+2sqKxDn3AZPHTD1BntMOx9FvY+i7YC0HoYtG9CNXbmx/VkfMgVLu17fv7rEkqLqjqU1wVrz5bcl/3LH9DRSCICLXDuBYxf/708Fzg9ur+PaH8f0aeeAJ8Ps60dY0W7G51WU4OqDqGqq1GBAJhmcYgy0zvEIxPoiSGYGILwGDiRmGWDJ+7OiA974/c8sXze6LvkytM3nNx+XDATjylMxPt52uPj8Zg8lWxXZJgXBU4UHQ27x6zoBITHXaFkZAwmhmF8wBVLRiczvC9mIvpQXfgpqFvhvop9O9C3fdOdxzBSY//iL8u0wPS5kV+mL/lZG97PPO11Wpa7LcuXjFs0TLQy3OUrql2hkb8CfD7XLc40wbBcMY5hues2zWRNRurnorxRiYaZnNe00iIUXaw5iIqyOnDk8tuQPo/joEdGiPT0oCcngNyjd4xsIqxcO5xjsxmGQcBvEPD7qK6soClDDZFIlO7+IfZ393Gwt5+u3gHsXNwynCh0bwMr6IqLfMGkqKCiEto7MdszRqSgR/qh7yBBbBprQyyrbY0911BbXTlvwYFhWfhXbUQF3I5QPdyPtoA8RJeVHSnH0BJ1SSlSgUrRk+GYldtiCss0E25X5UB0+zbCjzxK5IXnZ32Tl5qnaDYl/qyMr2kc8beXcdK/vJOGI9ZmPMY7E5MM/vRmer/6TaL7FlBUL+RM8yc/mklQtB94C66gaKF5PPbwMoYraPpshvl9wO3AUcDAwpYmCIIgCIIgCEsDERUJQuFxcC19/wz8DFgNUH3uq1l59y/Z88a3FpXFsxGqxmpbDmjCW3cUp5uSXEwuOHbXIeyuQ4UuY/aU0QXxJU/XHtj2LKzbDIA66c3oh25kWmeg6GRSYBSohpZ1sGwlqrEDArOIgpoYQR/aDge2QM+u0u2YE+ZHTTJqR2sNg7M8Ju5+AdYcDUDg/IsWXVSUQiSCvWsH9q4d2edRyj2GWpbrQuLzx559qUIQVEw4khT1KMtCVVaBlRSgKEPFBC1G6tc2GkXbNkTCYNvoSMR9jkbxn3IagdPPdOezI+h7v76Q78qCsCBdiNp2z9fstC2Ex2GwZyG2SNqWFm/dy1ehzr/SHU4TdOnufVNmV8FKdx/FdaWwDxxILBepqSEaDLjOEUZS2OR0HyJ87z3u/m6ablyNFRNCRaPoSASzoxN8fldANDGBHned8iJjYzhDw5jNLclXMjHqRsRlccozsgr2pnmHU86Fc/8kfD6LtuYG2prd2CvbtunuH+Jgbz/7D/VxqH+QcJZYOMAVvHW9BMEQuqETZU51orEsi/r6eup80DDeQ0NTA/WbO6haKCeghuVJQZHW6OcfXZjtxJkcBxT4AyX4n2RxnIoWlnJ4DYUgzSFmiZ276vGxpCtRzzx+F/PqVFQ+n4Hh93PUOy7nyH94E01HH46RRegb3rGLgR/8hMGf3oLdNzU6U1h8zOYm6q78a4LHHJU+6TzgXlzHoELyQHxg5GA3j3/rRs7+9PvjTe3AqcBvC1GYIAiCIAiCIJQbIioShOLhSeBYXFvfNwIE1q+l/cffYdfFl6PHJ6ZdeKExamtY/rUvUX3huYmLXfbgEGP3PsDIH+9l5M7fYx/qLlyBXjGInU+3ZWFJUQxOG0LecL5zNcbnbnbdiuqWozs3uxFkuTA5Arufht1Pu92x/kqoaYKKWnfYjJ1CRcOxx6TrFjI64C4rCHXLk8N2ZNaL6/tuQsVERb5jj8doXY5z8EC+qss/WkM06ooqJtxzlsXuznXWrfcWtMhbLxGU93ypCIXh88UrIog7QeG43eVOptfrmd9xIJyMPNPDw+j+/il7kr1rJ5N3/27aMnwnnYK5YsWUdtvRqX33GuiLnT/7/FAZc3HyCIxMc75ORXP/LpimSeuyelqX1XPMhjVorRkaGaO7f4hDfYMMjY4RjkRdsU7sndIafJZJUPUSbFlHsG09wWCQmpoa6uvrqSaC2vMiDByC+sY515YzdS3J4fFRGB3K/zYO7ka/+Djs3JK6n6m4ONJKun3FnbUS7lxGch6fH3yB1OmmiTLiwjXPuixfbNiXXD4+zTBhYsxdd2Uod3FTOTgVybn83EjfRZZA9BZAdOcOwo88QuT5591zmDmgHSdxfeTU//s2Nr35AveYaDuuqNzROI7txpl52rXjJB5oN6px3QVnelZc2p/B6kvOZtPfvoG2M46nqnVZVtc5e3iYkTt/z+BPbmbs/odL/nWXNIaBb2UHZm0NwWOPpu5tVxA8amOmOT8A3L3I1WUjoV6uXFZP3yu70qfnbg0pCIIgCIIgCMK0iKhIEIqLQeDNuPa9HwcIHn0krV/9Agfe/YGCFrb8mi8Suvj8lDaztobQ6y4k9LoL0V/4DIM33Ur/d3/E5LOLH/OjAoHEsJ6cfeetIABpFzvlgmbJs3OL23lYHbuWuOq43EVF6YTHXNchQciVho7k8NgcOrGfvhv9fz6TcPoInHsB4z/6fp6KK1NMz1+bUu0QX2i8bjhOGYqwMwqHXAxl4Ey3X6T97DvZOjZzEC0oK7PrkLv9LAKPSBgG+9yHPwiBCggEMLM6X+TqVJQ/lFLUhqqoDVWxrnP5zAsArO5A1bYCoId74Zl7FqS2rGRxgJo3kTC88hf0i0/AQJYbK7SGaMR9zMPLYV5npGYGAVL82StoMi3UaRcB7n8qvftF9EuPxeaLCZviMYPx+MN45KDpi63TN3Ubi01K/JScy+dO2jGjHIUdWuMMDBDdtRN7+3YiW7eiB/KQiuR5rw6/7Nz5ry9GZcwxrhSobG1i7etew9pLX0Pz8ZuoamlMcV1KRzsO4488zsCPb2L4F3egJwptdrOEME0qzziFwIb1WMtbMaoqMULV+A9bR+Cw9ZkizrwMA18EiskK9AGgB1hmWBZv/Ml/eafZeJyMBEEQBEEQBEGYHyIqEoTiwwE+AVTj3gFE7eWvZ/yxJxj4zvX52YJh4Fu9kqqzz8DX2UFk126Gb/8tdk9vxtkDGw8ndMkF3qZ4L1TiGKL8fuqufAt1V76FyVe2MXj9DfT/4CfosfH81DwDKuBPDOtIeJo5BWEavI5XZXgtfUmy+2XYeCIAqnWDfKzCoqFCHgeOkTlGOOx+EVa7EX6B8y4UUdFMeB1dyrFDNB94O9zLKFolwTSfu1JM/W03sv8d1tl+MVQOTihZhCy240DK4lm2EZ5wH8OgXnkBPTYAwQrwB1D+gBut1d+D7uv2RAkqN3YwMG2H4OIT8bit5vNrqR1XRGZaZBVqAQz1QJMr8lSV1XDia9FP3weROXRiaw1de9DbnoNtz81tHYuNHc3dxdV7TNj3Cjx3X2J0Th+dUq7QyOePCY78rtjI8gwrIxlVGF8GPN+zWGRmLC4T4vOqVPFcfB3tG+DIM2JFa/TTD5HcP3SiPXGsMOPCqHicoS8mnjLwxnSilLuME9vvtE7GK8anG2ZqTe2rk8O2DSMDSTFW4tlMHi8c292vDTO348xcceyY2C3svo70uuPvUSmgNXpiIvYY9wxPoAcHcfoHcPr7cPr6cAYGFuR3z+npwWxpmXnGWeIPVed9nXPFsCxqVrdTv34lTUcfTuNRh1G3ppOaVW1UNNZljTPzosNhxh58hOFf3cnwb+/C7iqgy/USxLeyg/p3vI2aN70eq6VptovvAX4IfAXoy3tx82MEeDvwC6aeDHwIt3ZBEARBEARBEPKAiIoEoXj5Z2Az8GqA5s9+nPFHn2DymVQXIFccdCa+znacsXHGH3qU8SeeQkei+NesxL92DYHD1+NbtRKrtQXfqg78nR0ovz9lPc2f/hi913yL/uu+hzOcjO5RlRUsv/bL3lmfwY1pqwTOxs1SfyOQyHgIrF9L89WfoP6df8eet/wd4Ze25u9dyYL39eiwOBUJc0OZC3Q3u1AwnG3PYcZERSzrLGwx5UCg2o3yipZAR2qhCdYkh+fiVATo+29GxURFvuNPxGhuwTnUlY/qyhKV4opRIh2ii01KvFEZvkfTdBhPiV7x+V1xTgw9niqE11neH5XVOci77sx/sx2tUWp24jfTMFxXnJhoPr6E89h9OA/9IfPmjzwBFYq59O1/Dv3YTa6ow/SBFXCP5cFqCIZQlfVQWb9g7kZ5idSKhtEDXdDfBQNdMHAQBnuSzlQJxxwr6ZwTd8vxBeDtX0Ytc/+qqJp6OO0CnO9/Dob7XBGJlRYjZsXSVGwbxkfRQ33Q1wVde1yxV7mSYtiZh+OD1smY2MViYsyzfdD3Tx9VmE4+j4pGZRUcFTsHHepB//La2a1ApYuaHPcYpx23PeYilZw/XZgV/0BjispIXEiU4XtY3wJnvjExOvipT7r/i7xiEcNA+VzRlbLcqD0Vj+rz+ZLDcdFWLPoLdCziKybK0tp9o7U7nJzmEXtpJ7EO7V2XHUXbNjgOenISJgt/Pjrw4Q9R9Y53oqqq3N8ZwyN6M5KiOZWlPT6/UgoVCmE2NwNgVQR53a1fx4lE3Yg1pXAcByccAUejfBaGZWJYFobPxLB8GH4L0+/DsCy042CYJmbQjzKMWG1Gog7DNBK7htYapRSGz8IM+N2H3+c++3xgqKzxZdnQjsPkcy8yes/9jN3zAGOPPLZoN5wJSYLHHU3DVe8g9PqLcr3WoYEBXLHOH4D/Al6guE+sb8d1fP93YCPunn0t8LVCFiUIgiAIgiAI5YaIigSheIkCfwM8DbQagQArf3UzXZ+4mrF7HyBw5EYaP3AVFccfk5eNGVWVNP3bh6j/hyvZe+U7mXjiaQKbN7H8q18guHmTd9b/xHVTGgHuiD0+DFwJvAM4NT6jr7OdVXf9kr1XvJ2xBx7OS53ZUP5ElDo6LE5FwhzxxpWUY2frUuSVZ5PDDe1u58s08ThCFho7UVf9GGX60CO96G9dCaNzdN9ZKgSTd5jr8eG5rePJ36Gv+HRCLOM/9wImfvLDfFRXnohTUQ6UuahoGtGK4ekQVa0robYh0UmqHQenP/XmezuLQEnV1GRsT5kni1OR4zizFnYZ2URM0/6WedY7OQb9e6ef07Ag1AR1K6ChA1XfDr7gjLXlxiz3uYkRdH9MOBQXEc3k9ubY7iOLc5D+1vvgXV9FNa90K7L8GFd+BOc9Z6PLWSQ0a8rg+LBQ4ri5MF8Rp44JiDIdirSd5/PZtPfNtl3RTvpm87jFcmHyvvuYvO++mWfMgeD559Pw7f9NjK9/Q/7i1BYaZ2SUiWeeY+zhxxh/+HHGH3sSZ2huonphfhh1tTT84zupuewS/GtWZZolghsLtgvXeWgM2IZ7A+GLsfFS4+exhw8wAflxFwRBEARBEIQ8I6IiQShuuoC3Ab8BTKO6iuVf/Xw+1/8i8BRwPtAIYLU00fnLG5l8YUsmwdJXgZsyrCcCfC/2WAW8H/i/gDKqq2i95otsP+FVC3pxWvlEVCTMn9ROQLlsXhY880Di7ltl+tC1rdC/r9BVlRb+Soz3JQ/9qroRvf50ePqOAhZVAgRDyeGRgbmvZ8+LsOoowI1AE1HRNHidiubqiLKUKFXRwHTY2TvZTdOAKKhVR6CClSnTnAP7IZoaETWYxVFBVYdQNTXo6TpLrSyiIq1TY41y+AhMI3MMks410ioXnCgMHnAfux53y6peBvUdSZFRoGpu684mrLAj6MFuGOx2I8oGu10R0eTofF5JZrr3oL94BVz+L6hTLnXLClZifPL7OJ/8m/xvrywo0eNDpee3N1po91rvd7fI3890MVY5xmOWAsUkisuADoeJHuomvGM3kd17CG/bQXjLy0y++BKRPfvK87yimDFNjIogRqiaihOOQ1VWUHHCsdRcdglmQ32mJbbiXtO7geKLMcsXkdhDEARBEARBEIQ8I6IiQSh+7gIuA34E1GWZ53ngYWA1cAYQzwKzgZ24dsVbgH24dyNtxb0TKd5b0gB8EPg3wDIqgpkERV/DjWSbiZ24zkUPAbcA+Fd1YrUtJ7pvfw6Lz40UUVFEriEIc8RrCS7XRMuDibFYTETss61pFlHRLFHnXDW10cljZ3a5UuEVFc39ur1+4OeomKjId/yJGMuacHq651lceaK84gsRFWUmH1FUxcx4dkFKVTDIRENbiqBIOw7Ogf3Y+6eeo/ZMIxoyOzqJPv9c9jrMzH+zbcdJMwTJwakoWyfzNAKqvDDS4z72POVWGQhBbSvULYeaFlRFrRujZvoyLx+ZgMg4OjqRfMnDPej7b3YFRKODC1v/lHom0Td8Fhwbddob3LY1G+GU8+Hh2UVklS3efU1EJfPHnJ2AsKiQz78wpLncDf/mrtRYOcNAWaYbnxaNom3HvfZh2+hoFB213RusolF3mWgUHQ6jI+55u3acxGcbj5EjHo0G6Mkwzvg4ztgYemwce2gY+1A30Z5e7J4+nOE5Om8KeaPi5BOoveLN+FZ2EDxqE2ZdbS6LPQB8BfgF7jVCQRAEQRAEQRCEWSOiIkEoDe4AjsGNHrsIV1w0BPw+1vaEZ14LaMG1/T1Ibra/fcCncIVJNwKenlCeAz4E3D3LmnfHB3Qkgj0wD5eGHFCeO8J1WERFwtxQljgVlSXhSYh3Itc0FbaWEkSddPnUxn0vLn4hpUbQE5E01Dv39Tz+a/RbPoEyLZRh4H/t+Uzc+OP511eOpAhDpUM0I6rMI+LC42BHM4p6Gurr6A00JMadkRGiW7dCJLPDZTgaZXBsjNrKyinTzFWrpxUVqWxORY5mSszQDJhmZqeiRY/ynByGQ8Nw6BXAe5akYmIUFXtpKlZbbI6GldC83h0e7oP9Wxez6inon38J1p+AaupAKYXx7s/iPHq3iCjAFSrE0HaJ/p/yfo6Fdn2xPIK7fDqLLQTFbZCzdPB8B53RUfZd+a4CFiMUC6qqkqozTqXpMx8jsH5trouNAJ8DrgeyZ6AKgiAIgiAIgiDkiIiKBKF02AW8NTasyK54iOI6Es2F3wBrgEuAatxotIeAuVxlPzM+MP74U+jRBY5l93Qe6WiRX7QVihZdjh2sAkyOJ0VFFTndzSnE8QUzt2u5yXVGKjyiooGD81vXvpehcyMAgfMvElFRNlLiz+R4PiPl+h71d8GyFVOalx1+FFt3ut9FbdtEt74MkenPGQ8NDmYUFVlr1jI53YJGZlGR7Tgpuq7cnIqyiIoW2qkoZ3RyX8r0crz1O0Wwz0XD6Fs+j3rvtQCoQAXqnZ9BX/fJAhdWBHg/q2IXwWRDF5GoyOdPDhe7SCvbcUZYVJRHRKqL4XgpFAalCB5/DJVnnErVq06n4uQTMAKBmZYaBF7BdSj/M/BLoGdhCxUEQRAEQRAEYSkhoiJBKE0W8gpTD/CDPKynIz5QeepJrPjht9w775RCGYZrvW3bru227aDtqPscjaInJnDGxnFGx9Dj4zhj4+iJCXQkgp703E1uGG6OfMBP1ZmnJtvlTmNhrtjefUdu2S0bJsYhpiVSFTXiQTUL1IUfyjxhMnvEkACgUD7Pxf+R+cX86Ad/joqJinwnnIRqXIbulX6CKZgSfzYjSyHeqC+zqKhl1TqIiYqcwYEZBUUA+/v6WL98+ZR2o7kZKipgfDzDUkAWpyLbcYDZRSKZRrGLimYgJXKvSGp+6RH0E3eijr8AAHXGxejv/z8I52LwWsZ4P6tokYtgslFMYslSciry/O+RmywKiFHmboJCVozaGkIXnUfVq8+i8uwzsBobppt9F/A7XMfyBwETeB73BkNBEARBEARBEIQFQURFgiAsFK/yjoQuuWDxtiwdicJcMbxCIrmQWzaEPZ2+/qmOE8I0tG7I3D66sJGWJY/lTx2frwjrsTvQf/UxlGGiTJPAOecycfMN81tnGaJSnIrkXCAjqvyFV7pnP+qw46a0L2tpwTRNbNuGSG6CiYPTxPdaHZ1EX34p4zSVIX4NwNEO2htbloM7iJHNbSVXkUKhNdJe16Yi6iTXv/o6HPNaN1rStFBv+QD6+i8UuqzCUg6iwyLa35S3lmJ/P41CHygEoKj2X2FxUFWVNH3iI9T97RUYwWndiIaAPwFbgU8BC2wFLgiCIAiCIAiCkIp4HAuCsFD0FWrDEw8/XqhNCyWO8nnuKJYLueXDpMd5wJ8lzkvIzNChzO3pohkhlXRBQXjaoKSZcRzYvzUxGjj3wvmtr1zxOhUVewduwfCKBorENSbfHNqbsdmwLJqamtyRHPeP0YlJRiYyu9cY7e3ZFzQzOxU5WqduO4d+fNPM8pe9VPbxYhWq9B+EJ36XGFVHnlLAYoqQEhUdFpO4VDse4V+WY0LRIPFnxYFX3CX/Rcue0KUXsfrPv6HhXX+fSVCkgXuBq4EzgWXAZcA/I4IiQRAEQRAEQRAKgDgVCYKwUPwReE18ZOS3d7kdCY6D1qAMhbIs9wKraaIsC2UaYFqoYAAVDGBUVKD8fvD7UZYJhuk+J66vaXB0LELNRkcijP7hzwzf/POCvGCh9BFRUZni8whgIvMUdyw1soiw1Kvfhb77a4tcTAlh+lLH8xAXpx+6DfXmfwXAd/KpqNo69KA4RqWQIuYqzQ7xBUctgWiVgW73WO9L66BTJm1tbRw8eBCc3F979+AQ1cGpx0KzvSPD3PGJ08WfpRQ14/bn7VRUaIrYHUtvfxp10sXuSFNbYYspCsrAsbOY3IG8jmhZ3MuKB3EqKgaUKU5FSwFrRRtt3/wKlaefnD6pG7gVN9rsT4Cc6AuCIAiCIAiCUDQU+5UNQRBKl0Te0Miv7+Tg3727kLUIQm74PD+Lhe6IEPJHoCI5HJYbO2dFdWPm9k3ngIiKspMuKsrHfvfwbeg3fcSNQLMsNwLt1lvmv94yQpnFK14oGozke6TL1akIoGs3tK9PbTMM2traePLJJ2f12nuGh1jd0jylWT6ToQAAIABJREFU3Wya2hYnW/zZVFHRzJhGFgcRu0Q+vyIWFbH/leSwf9rYmaVBGWiKiio+yitkL3pRkVAULAXh7xLG19FO8+f+ndCF52aa/DDwaiCzPaIgCIIgCIIgCEKBEY9jQRAWikQmhDMqnfhCaaC8jjbF1vElzB2PqEhPjBSwkBKkZ3fmdjuSuV1wmRJ/lof+AceBg9sTo/7zJAJtCqYIQ2fE8Aje8rFfFin6wI6pjUrR3NyMUmpW+0ffSObfDVVbmxrt5cXK7FSkHT1rsYYhoqKFY2zQMyJOLSmIoGH+eL+jRpHHn5WsiqzM8Ap/5TtYVlScdjKr/virTIKi3wJnAacigiJBEARBEARBEIoYERUJgrAQNAFvj49MPvl0AUsRhNxR3k7AYuv4EuaOVyyWhxiqJUVVvXcsqRDt2rbopZQUZnKfy2enkH7k9sSw/9TTUTU1eVt3WWAUsXihWPAKr8JlHAfZtWdqmzKwLIv6+vpZCSbGJrO8T0qhqkOZp2VzKtLOrLQrhsr+d11PF3/mfX3TrGNR8AqvZhE7tyhEkwJZpRQY4iaTpMg+q5wporpTjjNFLlqT38ziIMUtrIj2ZWFOqECA0BsvpePWH7PyVzdhNqT8r3KArwMXA/cVpEBBEARBEARBEIRZIKIiQRAWgn8HagDsgUGGb/1lgcsRhByxxOWiLPF2qJZz3M9CUNfqHfttYihVbCSks1AxJ/f/DB07NimfH//Zr12Y7ZQqpghDZ8RcGk5F9HWBkya6iYlbGhoaEt+jXBibDGedpqqqMrdncSpyHJ3mbjR9p3HW6DN3ZblNK7CoSBWzU1G6MMta6qIiz75ZFoKGAgt5vCK6ItcUFZ3gb6liSPxZueBbvZLV993Jiv+9hqpXneGdNAG8E/d62fspKiWkIAiCIAiCIAhCdkRUJAhCvmkF3h0f6f/yNTj9AwUsRxByR8mF3PLE24lpBQpXRymS2uH6RHxAdW6Glccufj2lgle4kc++AicKh3YmRgMSgZaCSok/EwFhRlJERWXsVOTYMNiX2hYT81RWVs6qAz0Sze4IpPy+zBOyRB3ZjpMqKpqhDMOYRokwnVORU0SxS97tF9v3Ml3k5IlLFUr0PFgXk5CnyER0OaKyxToKC478Fy0PfJ3tdN5xM/61q9MnaeCvgO8AYp8rCIIgCIIgCEJJsdRvxRMEIf+cTezYEj3YxcD3ri9sNYIwG1JcLuRCbtkwMgjVtQCoutZS7SYrDNEU0cGLwCGgGUAdeS5611OFqKr4sTyRe3k+luhH70Bd+k8A+M84E1VVjR4dyes2ShbT2xlXZOKFYsEb7+SJfipLwuOp4zHHHJ/PNys3QkdrHMfByOQa5MsiKsrmVKQd0vJtpt32tE5Fdm77uDr+cth0vrut8Dj6+bvg3usyz2wF4YKPotacnCEKTMfKjdUcP7Zpxx3WTmweJ+VlqZpmT83TCKEKQfp3wB8sTB1CmVJC9/B5/gPlM7ZVmCWGfA6lTmDzJlb/6dfpzVuAHuC/gF8telGCIAiCIAiCIAh5QERFgiDkm9PiA2P3PgDh7JERglBsKInOKUt0zwFUa6c70jTljtEkyoCaZjfayx9zKxgfgoEDMLlEbyYd6va+Z21AFzFRkR46VKiqih+vY06+O4Xuuwn9uvehlIHyB/Cf/Romf317frdRqpgSYTkjXgeK9HiwciM99iv20h3HmfVvfEZBEYCdeT0qi9goajtp5xoLIypSjc2p48GQOxCsQZ16JfrYy9DP3QlP3w6DB2DlcXD0pag1p6Q6fuWbohMVpf1PCdVB74HC1FJslKqgIaXuAjvueOP0im3fT6fQjmaCi1ccLecxJYUKBlh+zZeoedOl6ZPeDXy7ACUJgiAIgiAIgiDkFREVCYIwF84E3gM0Ab8HrsHNhjeBRBbLxGNPZFxYEIoWUyznyxH9wmNw5MnuyLpTYdlK6NsHDe3QtArVdgR0Hg2t61H+yszrGOqGnU+in7sLXnmIko0FmS1jKfGV9bh32bqMDy52NaWDsYCiomgYundD8yrAjUATUZGLEqeimfEKbYq9k3u++Pyp47HXHo1Gc3b5gemFPTqL25PyZ47ajDp2qiviDPimmzddEJNSV3RaOYUKhlAnvBlOeHPOteQD3b1nUbc3I5FJ9MgAqrrOHT/tItj5YmFrKiTlkHpVTPFnlkdcOItjTkFYSDGhkDMqJS5yifzXKBOyCIp+hgiKBEEQBEEQBEEoE+TKgSAIs+VTwGc84+fiComuAD4PrAPQjsPY7/+0+NUJwjxIvZArd4eWDXf8EP2m96BMy3VgeO9PwXFm5cagappg8/mozeejdzyOvunfYHIJRE5FJrxjVUBSdTVNh/aSJ2Xfyn+nkH78t6iLrgLAf+bZUFkJY2N5307J4XnftVPkHbiFIkVUVObvUUVVxubwLF00remEPdnWlc2pKGpDlsS0WW87Mk183Vjy90m/8AD6qbvB8qOOOw+1/oRpt6ntKDx6B3rbUx5HJ5V0uVLK3Y/iz4bhupwYBqjYcxqqqg49OgAP/GzabReELQ/BCe49EcZ5b8G59ZswIcfT0hXXF1HdXqeiYv9NWkiHRSF3TPkvWoos++gH0wVFLwGPAv9UmIoEQRAEQRAEQRDyj4iKBEGYDW8lVVAU52xgv7dh+JbbiO7dtxg1CUL+SOm8kwvqZUN4AucX38F803sAUMpIdaVKQ2sndiFfgWGgVOqt7mr1CXD+B9C3/7+FrLo4qEmJ0BkCjk2Mde9Y7GpKB9OjGliITqF7foq+8D0opVDBIIFLXs/kzTfkfzulhiGxITPiFRUVeyf3fLB8EKxObXMcME1GRkayin4y4bey/2XWk5NTG83MwhoAe5b7pTnNbxVZXJKmcGAbPHoHAPrBW9HrjkeddDEccRqqZpnb7tjufM/fj37wVug/OKs6Z6KYz6j0n3+KiomKlD+A+sCX0V+4qsBVFQFlISwpovizYj/eSvxZcWAk91ldFt/B8sa/YR1t3/gKwWOO8jb/CTgPKHM7SEEQBEEQBEEQlhoiKhIEIVfqga/HR8Jbt2F3HaLi9FOnzDj+wEN0/8snFrM2QcgPpnRIly23XIuz+gjUsWclREJaa7dTdngAve159FP3wGN/hOH+1GXXbIJTz8d4zeWoqpDbtukcWAqiomUrvWNbgGSe0JjEn2VlIePPAMIT0N8FDa0A1Hz6Pxld1szYN/4n/9sqJbwduBJ/lhmvSLKcf+fqmqe2RcNgVjA0NIRRVYU9MDB1ngxUBTJHmQHo8Ykpbaq2Nuv8E9O5C2Ugq1PRfKLrtj6B3upGFOuKEAQrYWQAIhkEUkuBPS+i77sZdeZfAaA2n4ZuXQkHdxW4MGH+FFaUoVIExkX+m+T9bRAxS+HwClJ1Gf9GlwG+VZ10/upmrMYGb3Mv8CZEUCQIgiAIgiAIQhkioiJBEHLlvUAdgDM8zP43X0l07z7q3vsuGj/xUZTPh3Ychn7wE3o+dXXmO7cFochRKRdy5YJ6uaG/+D50Swcccwb0HIBnH3bFGTOx/XnY/jzOvu2Y77nabfNl72QuK1LvXPcBW4nFXNK+CfrFkS4jXiHAAnUK6ZceRJ36xsR41fs+SOCS1zP49v+Dc2D/NEuWLynH8GLvwC0UKfFnsxO4lBRtq6e2DQ8QNX2MjIygqkM5rypUUZGxXY+OQnjq+a7Z3JJ5fq0ZmcjhN8dDNpckPUtxUlbGh93HEkf/5ltw/IWoyhBKKYxPfg/nH88pdFmFRRXY5acc8J4LlHvcpJAnvOKuwlUhzIBStH37mnRB0STwHqA/80KCIAiCIAiCIAilzTR+6oIgCAkqgQ/ERwa+9d1EtNnAN77Nzs0ns++yt7Bz88l0/8snRFAklCzae8FfyU9kWdK1B353Azzx59wERR6MV70+OXLgpfzWVayElnnHXgM8Gh9R609f9HJKBq87wULdaX7rl6c0WatW03DXPQSveNvCbLPYKaWomUKhloYjn2pfN6VN9x7gwIEDaK1RVVU5ryubqMjpz9xvaLS2ZmwfHh+fdfxZtm0zMjSr9QgzMDaEvvO6xKiqb4KzXj/NAkLxUkRiKGPhBcZ5Q/73FAcpYj5RFRUj5rJGNhx4mYrjj/E2fxToBH5WmKoEQRAEQRAEQRAWHnEqEgQhF/4eaAJwxsYZ+O4PUybaPb2M9zxUiLoEIb9EPZ3QRhF1SgjFwbqjEoP6+T8UsJBF5OArsHxDfGwYeBK4AoDmtQUqqgTwxp8tlHAjGkZvfxq1JqVTA2VaVH/83wlceDGD7/xbmKUzykwYK1ZQ9aF/RVVUoEdH0aMjOKOjMDyEMzSMHhpAT0ygw2GIhN3ncBgdnowNT7rzj4xANM/pEOJUNDMpETdF3sk9VwIV0Nw+tf3QXvb5wgAo0wSfBZGZ98HaysqM7bqvN2O7tSqDSxLQPzo647bSqanM4pI0lFt0mzuzdEznxD03oo87H7XK/a033vphnHt/WdiahPlR6F3f61RU7L9J4kxVFKiUiNJC78BCOr5VnbTf9H2Uz+dt/gXwpQKVJAiCIAiCIAiCsGiIqEgQhJlQwDviI0M/+ilOb18ByxGEhUPbns5FuWNX8HLCa1DeyLMX/1ywUhaVwYNeUVEEOC4xbbi7EBWVBl6nogXsSNS/ugb+6bupnVC4nVL+40+k8f7HGfrQ+4nc+6e8bbPup7dhNjXlZV06LnZwbIhG0dEoemSEyKMPM/z5q6F/ducbyvT8tdFF3oFbKLy/bfkWdRULbWvI6FYSCbNr/67kuGECM78HTbU1Gdud3qmiImNFO+baqS5JAD1DcXeh3DvvG0LVmScMyrn4QqB/+23UVV8DQIXq4PJ/hJ9dW+CqFhOvoKFEj6HFJI4ppVjlFMFpkddaznhuatHyORQVKhig45br8a9ZlT7piwUoRxAEQRAEQRAEYdERUZEgCDNxOZCwQRj68Y0FLEUQFhjb49pgiKhISGJc9vbEsN73AvTvK2A1i8hYihtGC5DI9dE7n1z0ckoGa3FERex8FoZ6oNYV+ejwCIQHUdUrADAqq6j95neJPPwgwx/7CE7XgXlv0mhomPc64iTEUKYFpoUKAFXVmK+7jMCFl2Dv2AY6Fk1p22BHk8ORCNqJDccESebhRyTX3boJveni5Ma0u3zKc6b+Om277lIpz3by2bFxFzTcTtjwKEwMQ3iMwttizIxS5e/mpNoyOwUNjY4xMDCe3O9yEB+EKiqoDgYzTrP37Z3SFjz/gqzrOpAlLi0bCkV9deaYNt3bNat1CTmy5SH0S4+gNpwMgHHuX+MsKVGRh7KIRyzwMbmU3POKSYy1lJHPoSgJbN5E5+03YoZC3uZngLcBTxemKkEQBEEQBEEQhMVFREWCIEyHCXw+PjL6+z8R3vJyAcsRhAVGLuQKmahpgLWe6LNnf1fAYhaZpjXesaeAixJjkfHFrqZ08DoV2QvrBqP/eD3qDR8GQPmr0Q99Fr3ytahV57ltSuE/9XQa/vgA0RdfYOTznyX6+KNz36DnOKl7X3TFNlYQzGDsOQDKdF1glIky5vZ3Q1kW1voNM8+Ybfm6NtR5/zrn5eeCnhiGwQOw/1n0zodh5yMUvFM7hbTfuHJ1QWhdmbF5b3cv6IrEPqz8AfQM8YArsonotCa6e1dKk7l6DebqNRln7xka5tDgUMZp2aitqsTyxid5N999cFbrEnJH3/W9hKiI6lr3MTJY2KIWi1KMRzQsaFuD6twInUdgnHl5oStKYiS/v7rYRVri0FociGNU0RF646Us//qXMAIBb/NtwBsLVJIgCIIgCIIgCEJBEFGRIAjTcRawBkBHo/R8/NOFrUYQFhrTe0dxkV/8FxYNdeU/J5wt9MQIPHVHgStaRMyUU8U+PE5FjM2ug3xJ4X3fFtqd4N4b0Re9FxWocMdXXwiP/xd6/0Nw7PtQFY2AKy7ybdxE3Q9vxDnUxeh11zJ5449nvz1vh9eT18Dw7mln1+B2VirLfTas2MPniq/MIPiq3IdVAQ0bYPVFKCOzmKKYUcEQBEPQchjq2Deh+/egn7wZXrgTotOLVxanwDRRUbE7Z8wFXwBCmYVA+3r6oKo14R5i1NdhD00vFlnRmHld9v59MJ4qrPSfeVbW9Ty+bdu028lEttg1tIa+nlmvT8iRnc+iJ0ZRwSr3t/+MS+DOnxS6qsWnGI8Phgktq1ArXQGR6twI7YelxtN6KfS5vDgVCbNFREXFg8/Hiu9/g9CF56ZPGQD+vQAVCYIgCIIgCIIgFBQRFQmCMB2b4gMTjzxGZPvOApYiCAuP8goBSuUObWHBUSe8Jjnyl9/EYo6WCKkdGm1AU3xErTkR/dxdi15SKaC8TkXOwjoVAeiHbkOdfYU70n4mPP8DOPgo/P696PVvhDUXofxuZINSCrOllZpPXY3zkX8j/Pu7GP3y53EOzSFOKdfXph3QYXd4pn7VPX+CrbejV5wO/pioQhkx56OYKEmZsUe83RUsqeUnpW7W6y5iGDFxk4oNZ+tAVbFpsWcVb4s9p889TUesqu9AnfNh9GnvQD/+U3jqFrAjM7wBC8hSEBXVLcs66dDAEFCRmMdY1oTd1QVZ3IpMw8jqVGRv3ZoyrkI1WOvWZ5x3f18f+/v6cig+ldb6uoztuufggjugLWmiYTi0Czo3AqCWtRWV39iiUWhBg1LQvBLVeQR0bnSFRO0bkgLaHNA9BXb08opjCy1wmgkRsxQJ3t9p+RwKhdncRMct1xM88ghvcy/w38DXAbmzQhAEQRAEQRCEJYeIigRBmI7kLdg+fwHLEIRFIsWpSC7kCsDylRCsTIzqp39dwGIWGSsArYd5W7YCHfERdewlcPSF6O9fBXufXfTyipqU+LNFEG78+lr0WX+NMty4Mb3uMnj2OxAZgReuh5duQq98Lax9PSq0IrGYUVFJ8HWXEbjk9dg7dzD23euYvPXmaTeVIqLRC/TaRvfDy7fMejH9mq+h6tz4KfuX34UbvprvyqZi+aGhCRqXQ/MK1FGnojadBHXLEu+VqqhFnXkVevNl6Ae/A1vupiCdhenxNouxby42tZlFRZFolNGJCTi0F2oaUIaBMgysdeuJbnkRolNFOi11dVnjx6KvpMYB+448MqtQ7antO1IbUvqMs+8HHU2NGdv1gT1ZlxHyhFe0ZS3RSyaLLSyproPVm1FrjkatPsoVEFVU57So1hqikzBwAEw/qiH2Ozdc4Ng6r1NR0d+sIE5FRUHKOVbhyljKBDZvou3b1xBYv9bbPA6cgvtfSBAEQRAEQRAEYUmyRK+QCYKQI9vjA9aK5YWsQxAWBeXtPCz6i//CYqDedFUy+myoGw6+PMMSZURti9e9SwO/Aa4D3h1vVIYJl38W/dU3FKDAIsbwxp8tgqNINIx+7h7U5pir1uoL4eWfweSAO25PwvZfw/bfoFtPhHWXoZqPTiyulMJavYaa//gC+hOfYfLOXzP8xf+AgYHU7QSD/5+9+45vo77/OP76noa3nTh29iaDTRIg7LJKWyiUFgh7FGjZe0OhQGmBsqHQMssqoxR+zEIZZYc0QICEQEggZJG9HU+N+/7+OMk6yTrbsmXdSf48Hw9h3dDpi3ySHH3f+nySl7XHqqXYH/dQS27uMxKCVUuty5xP0e+9aM0DbrEDxgmXwojxiXBR1SDU/lehtz8S/eG9sOjj3IyxVcqkcSG+z5WmDyFsqG+wrphR9LoVqJrBABglJfg334LInK/bhKwGOVUKamwkunhR0jr/+C3S7rumbhMrN2YebBhWW0NZ6vMtfv+Lv0+7XmSRrZ2WbsnRa4nn9HCioXoQatwOMGYiavQE1IARnRuV1tbrbt1K9Iq58P3/YN4HEIo9xw+4PBEqKsRqbLkglYrcIxWjXFV13JEMvOkPqGCbL9QdgwSKhBBCCCGEEL2chIqEEO2pj18xysrcHIcQuZFPbQpETqiJeyQWvv6vewNxQ1lf+9IKIAycBWwP7NC6pajcakXVU1Vr8pG9lWKuqsE8cwN6672sCiz+YvTYQ2H2Qyk7aast2oqP0ZUjYORPYfg+ra3RAFRxMcW/PJSiX/yKyKwvqP/zH4nM/NzaWFKafLhcBKYyYQ8VhV0OAsz5FPOyKTBgGMb5tyWHi/qPRR1yK3rF17D+B6slmhmxqqOYETDDVlAsGoJIGKIhax8dtSbJzUjsZ/x6xDrP4usxrclIra3gUHy/1Eo6qZWLCkFRadrVjS2hxMKa5eiSclSZ1V7PKCnBN2Rom6BQdXn6gFJ0wfdtJnt9w4am3XdB2raCHVcE2XrEsPQbImH04vkd3t65vZ/olEpblajVP7g3DjdlO9BQVYMaPxnGT0aNmYSqGdLhTbTW1mvfplXoFd/Cgukw9z1obqfzkP11ze1QRj49DeU1wxukUpEr/IMHUnvVJVQdfoh9tQauBq5zZ1RCCCGEEEII4S0SKhJCOOkDnBNfiK5e7eJQhMgN5ZdKRcKmby2UJsIWevZbLg7GBf2G25fis6oRYDcgkdiY+4EEilLZA4rRHAVvGjag50xFbRULwm12IHz3AjSvTb9/3SKYdT/MfgQ9ZDcY+RNU7batm5VhEJgwiT5PPoe5ehVN/3iUltdeSj6G16pAGLa2c7mqVNSRlUuscNGWO2Kc/kdU7eDWTWrgljBwS8eb9vQUr+9P/0KbplX1Ixy7RGJBpvj1sG05HEJH0qyPhCActoJc9mNEwuhwi/W7iEZg/SpY1rNVdpSRvl2ZmRIU1ku+tYJesfZKRk0N0R8WJ7U+LS0qIp3o0qXJ91lRCcH0+65YvyHt+vbUVlYytCZ96zPzuznWY5sRmZnOiOGD8urE8tJeWhkqG4Gc/sNRE/ZFTdgbNWKrju/SNKFhLXrFPKsC0TfvQOP6zO4z6f3XQ+9RbgecOiKhIk9IajErr905UXnYwQy4+Tp8lZX21SuAo4F33BmVEEIIIYQQQniPhIqEEHEGcADwK6wqFFsDrZ/K1j//skvDEiKHfFKpSNj8eEqi9VlTHSyb4/KAcixYYl+yz+qFsD5k3xtAL5+bw0HlCZ8t3JLLaj5PXoO+7g2U4UP5gugtj4XP7mz/NmYIlrwDS95BVwyD0QfCiH1Rfuv3r5TC138A5RdcQtk5FyTf1mvhS5+tXUVTvfN+bvj6E8yzfwq7/RzjxMtR5VVujwiwwmMEi61LZ/bv5v3p5QvR38+G5gZoabaCSKFmK3gUaoZQMzpkX9cELU3Wcnx/MxqrzBTtVmhPL/kOxm6HUgrl86GKitFNTYn/V4dJdh0KJS0b1dVp9wNYV5/mPOzgQZw8fozjNnNWrlvm9UIV1dbzIm7Jt+6NxU1dDZmU90XtuD9q54NQQ8e1u6uOhmHDMvTiz2D2m/DDzK7dp13S+6/b71ES1BEZsn3BRXspFFdAVFkpRePHEv5hGdWnn0y/c05L3eUTrM/Elra9tRBCCCGEEEL0XhIqEkIAVAIvAz9Kt7Fl9tesv+e+3I5ICBcon71lgtsTEcJtxgRb67MFn/a+c2L1QvvSJNv1PsDurUuremkVh/bY2nDpjKuKdENjHfrzN1Hb/8xaHvFjmP8ybOzk72jTEpj5N/j6MfSI/WCzg1BlA1s3K3/KPx289pywVypqbnRvHO2Z+m/Mqf+GPQ5ETfwRVFZbj6vPb02G+3zgD1jL8Z8+PxiGdVGGNdnf+tN+HVonse3XY5xCMrmkBo1EDRqZ1WPqiK1KUvxxay3wYF1RCxeiNrSt+pD0mBhdawenHFoEhyIRoulCDUntbZK3D63px+B+6UNKesUPsKKXtuLKpcqa1qtaa6jf6OJgXJRJe0SlYPOdMXY/FLbZA+VL/zGTNiOwfil6wccw61VYOS9Lg7WPxTZut1t0Jj3XPV51xl7hyetjLWRJlbY89jdWAeh7yonUXHEBvoqKdJs3ApcBD2G1fBZCCCGEEEIIYSOhIiEEwN2kCRRF16yl7sl/sv6Ov6Ibm9LcTIgCY/8g12ttfUTu1Q5pvap/+MrFgbhk7WL7Ug1W9booVvuzAIBuWA8LP8v92LzObwu3RELO+/WEp69Db7cPyh9EKQO93Wnw/iWZHSPcYLVO++4l9IBJMPoAGLgjyjZZq7UJ2uUJ21T2yeRchrm64oNX0B+8AuSwwcngUfhuS7Swazr3WJShoKQUiktRxaWosnIoKkIVlUBRcexShCoqhmAQAkWoYBACsYs/YIWi/AHw+8HvtwIFhg98hvUzdt0paNBdyh+w7r+knX2KSlCBoPMO0PXKLL70LdfSBoqsO3I81PDaGsdt5vR3MxiU6DJbqMjzryM9qTPPh6IS1E4HovY6CjVgRNpddLgFvXQ2zHgW5r2f5UGm4aVQRj61spJQkffI7yF7lGLAjdfQ9zcnOO0xCzgYWJizMQkhhBBCCCFEnpFQkRCiFjgmvtD43ods+tf/0fLlV4S+meeBsvFC5E5SFQ4590WRbYZ64wr3xuGWaJvJ1CDQBPRP7BOxKoNEJISXxOdiqCgSQv/nftSBZwGgarZCD98HFr/dhYOZsPJT61JSix61P4z8Caq4Lyx5z/0qEKmUfTLZY2PzAiM5/KLnzUY35y40buy0J74f/QRj8PDWwFJrQMkfQAXilZkSQaTWKkzkoNJSV4/vUOHIdPo7op2cgeFwLL1hLXrRd10YHLDH4VDRz3pNN03ruWFGrJ/RaOy6rZ2cGQUzDPbhR0NW9a/meqsiVCRkHS8aSUx8xx+/dBVutAkr8qSqnT1U1NLs3jjc1t7zobQStdeRqL2PQpVWttmszSgs+xr94cOwYHoPDjINL31BwG8LMno9oGbYQ8MSZnGNByoKFqKBt11Pn+OPctr8GVZL57rcjUgIIYQQQggh8o+EioQQowEDwGxoYNnhx0mYQvRe9vZn8jwQ0TBQbF0vS9+OpqA11aHNKCoxQTccmAu0zhCqylr0jof4MIAjAAAgAElEQVTAtKfcGKF3JYWKXJhI/O+j6D2ORFXFJse3+Q2s+BRC3ZgvaVoNXz8Gc55AF1dby15jn4xzezLZi1Lb1+U4eGVOfw9z+ntdP0BpOZRXQCAAwWJUIGhVUCougVKr0pKx5QSMkWNiN0i0gov+sBRz6aI2h1SDhqHik+mdncxN2c0p7OQ4Ld9OSySnEeiVyzo1tFZlidYuqqgUtdNBmd2+B+hwC/qPv4INq9weSrtUVW1ioWmTewNxm5GmAlewGLXPMagfH48qKU/apLWGhnXoz56HqY+SnErLoaT3AZf/lg/aQkUhbwfUlFQq8oak0Kn8HrKhz4nHpgaKPgFmAvsBHwNnIoEiIYQQQgghhOiQhIqEEFXxK9F1693/8FUIFyn7h/+5ri4ivGfNchhuTcyq3Y9Df/kGNPeiz5yjYdiwHKqHxtfsgBUq+hqrbeZZAGqPX6Pnfwyr5rszTi+yt3ly6bVEP3IZnPMASilUURV621Pg01uycOCoNwNFomOp7cfcbg2UqcZ66xKjSRPcCbWkTeaYK1ah17QNs6hBw2wLyTd0qtbR7YpJXWmJlOnksgcr7KhAEXqXX8Jr97s9lPbZKxXVbXBvHG7QOnF+2kMmSqEm/xz1izNRffqn3ETDynnoN++EH2bmcLAO7BXrtIfan7k9lo7Yq6RJmMU19vcX7fWWeXnAP2gA/a+9wr7qI+CnQH36WwghhBBCCCGEcCKhIiHE4PiVyPKVbo5DCNep4qLEQtjjbQpEjzP/cQvG5fdZoYzK/nD49ehnLofmXlS5YOnX9lDReNuWPwMnAmWqpBJOfRT9j/NhwSc5H6Inudn+LG7hTPSX76K23RsANXxv9LKPYNlH7ownF+wTuFGpVNSGP5C8XJDVnHooCJRN7VQqypqUAINe8KkVEjEM66eKtZgzfFa7MsOIrYu1nEutUmP4rVZO/iJUajgtE/Z2UF5lCxVpj1dVyjr7+RiI/a5GbYsx5WLUiC1TdtXoRZ/BqzfAxuU5HGQHDA9VHVV5GtTJp7EWmly8P/QilYcejFFWal91DRIoEkIIIYQQQogukVCREGKH+JXwwrZtIYToTewTZToqoaJeb9Y09OfvoybtCYAatT2c/Qx8/gr6439BXS+YbAw32ZfsiYQfgBOAZ8Fqm6GOvwvz8XPh+49zOECPsoeKwi5WPXv0CvSf3kIVl1nLE8+CdXOgeb17Y+pByl6hwo22c15nf49ze7K9oGQaWLJXokjZ4hh+ynBy2RZm0B/8Hf3+g5ndvh06fvx04aP4OG3DVb99DNVvuLWQD+ddVb/E9dUeCsvkROIXp6pq4YQ/YEz+efIeWsOyr9Av/B7qPPiFFA+FS5W0ssoPhpEIo0Vy2xa0jaRQkXvDKARF222dWqUIwEi3rxBCCCGEEEKIjkmoSAjx0/iV5mnT3RyHEO7zeejbzcIT9E1noe/6D6r/EABUaR/Y7VjY9WhY+Bl6xovwzXtWq7BClDwJljrb/RzwJHB0fIVx3J3o9x9Gv+Px9jY9zV7Jw81zw4yg/34JnH53og3aDhfBh1cBBfYap1LmiSRU1Jbfdl4WZJUiujAJa79BF6sZOdzMqX1aUnCDHMwb90SYQZvWxezEBLz9XMuH90p7paJVS1wciBsSJ7Nx0g1ttuqNK9AvXg1LZ+dyUBlJCpe6HeTJ10pFOaYqKghOmEBw190IbL01gc03x9e/P7q5GbOxEd3QgG5sRDfUo5ua0dGo9boSNcFQqGARBAKoQAAVDEAgiAoEwDTR4TD4/aiiIlRxsfWzKLa/0TZfoltaiC5dSvirrwjNmEHo008Jz5sLLS25ejQSV+Xfol0SGD6UfuefSZ/jj0rd9ALwtgtDEkIIIYQQQoiCIKEiIXq3ocCY+ELjO++7OBQhPMBLLROEZ5jnHYC66C7UxB+1VpFQyoBRO6BG7YBurodFn6OXzIKV82HNQti4CnQBTNo3J3UIGJlmj98Ce2Frpal+dCJ67gewbE6PDs3TkioV5WoiysG3H6Nn/Ae1w/4AqP4T0FscCXOedHdc2ZYaKoq6XG3Aiwx7qEje44DkRE/KKeSYAehuKzX7Y5963maL7e8Z7Xa5C/vfVl5vS6gMqLBVKlq20LWhuEH5UitPWXS4Gf32PfDZ/+V4RF1gf356Kjzp9VBRjlpEKoV/zBiCkyYRmDSJ4MRJ+MeOTRvwUcXF+IqLobo6N2MDVFER/tGj8Y8eTclBBwGgIxEi339P5JtvCM+bS/jLLwnNmIHe1APtkJMeB6+fM94SGDaUmt9dSOWhB6c7n24BLqXgEvVCCCGEEEIIkTsSKhKidzsufiW8YBGRpcvcHIsQrkuaTPHURIRwlWlaFYtqh6COvxQ1cQ+UreKHKi6H8Xugxu/Ruk5Hw7B6ASyeiV70BSz6AhrWuTH6btHLvrFPM+1C28IajcBo4FqsD+sBUIdfj37kDNjQ21rHxNhDRREX25/FPfF79GYTUX0HWsubHwXr5sLKGe6OK5tUymS4m23nvCoQTFyX0FX2OKSPDKfwUTvFkaJOYS9fN/7Zrl2eQ7UHp7z+t1V5n6RWuCye695YcilYjDrinDartdboOW/Dy3/oXFUqL0iqVOSlc9/jWYY0oZ5sUJVVBCdOIDgxFiKaMAGjqqpH7qunKL+fwLhxBMaNoyS2TkejRL6ZQ/jrOVbg6Pv5hD77HHNVN1sC2t43tCmhos7wDxlMzaXnUTXll6hgMHXz18A5wH9zPzIhhBBCCCGEKCwSKhKi9+oHXB5f2PTCyy4ORQiPkEpFoj2rl6JvPceaD973MIyDToQBw1qrF9kpXwAGjoOB41CTpwCgV3yL/uZd+Optq5pRPlj0uX1pOFaAaH7KXi3AZcBnwD8BVNVA+O3D6H9eBou/yMVIvcUeKgo1uzcOG33nyXDlCyh/AKUM9I6XwDvnQ0OBBIql/VnHktryFeh7nEPAp3PFhTpZqSNl8l2H0gfY/A5VX5LGmDKwiFMlH38g/Xon9uO6PS+d1ALK46Eie+szrWHDGhcHkyObbY1x+vWowSOTVuuNK9HPXAhrFrgzrq7yUigjR8V/skJlp+2WqqigaI89KN57HwKTJhIYM7ZTt9PahPoN6IWz0QtmwsLZUFQKpZVQVgmlfVAl5VBSbgXHfAYYPiuoGAlbVSHDIXS42boeCVn7BYqs5ZYmCDVCcyO0NFjBYzNqBWxNk9YCNn0GwKhtMcZuDwNGQlGpw9/5PgJbbU1gq62T1ke+/56Wj6dbQaP5VtgoungxRDoZyjPsr91uv3h7X9XRU+h/3ZX4+rQJqn0L3A48BEjKXAghhBBCCCGyQEJFQvRevwAqAKIbN7Lh3gddHo4QHqDkg1zRSf99FvO/z0JFX9jnUIzt94SBw6GsyrF9iBo4FjVwLOz1W/TK+ej/PQ0zX/P2JGvDOvTaxah+w+NrtqVtqCjuGaAGuAdAlVbBsXeg330A/ve09ytUZJM9ABBqcm8cdhtXoR+9HE66GaUUKliO3uUqePcCiHhkjN2RWqmosxN4vYnhoQoePcXh/yvdpHCHh+pkGkeH0wfYfE6VP7Rz+zPTKRSVaRWRpP9ft9uf2c47r7c/K6lIXO8F71nq5yegjjgHZXvP0pEQ+qNHYeojro2rWzz1t7x9LB5/zU16f8j8cQvuvDOlUw6n5KCDUEVF7e6rtbZCP2uWohfMQn/xX5g7vcMwU05+m4vnwKx3Ez2y/EHYfCfU+J1Qw7aA2qFQ0ddqg5xGvHWanQ6HiSxaRGTePMJz5hCZ+w3hr+cQXbK4ze1VPr1euigwagT9r7uSiv33S920GLgaeByQB1AIIYQQQgghskhCRUL0XsPiV5ren4q5br2bYxHCE5Im7bz+4b/whk3r4cUHMV+0BTNLK2HrnVA77oPafBJUD2gTNFIDNkMd/Dv0LkeiX7gOlnu4xcrGVZAIFdV2sPdfsVqi/Q0oVoEi1H5nobfeDxZ+Bj4/euNKmPGC9U3xQuWztV/wSqgIYPZ76PeeQu11NACqcrhVsWjadUCev+YZKaEij1SI8hSfVONrX3LwSDtOrKcElBzCJ87tz5ynxk2nyipOVY86w+2/Z+yT715vu1dRnbheyNXOSsowTv8Taod9WldprWH5HPRT50GoUN6f3Q7UeSng1IGkimKdH6t//Hiqfn81Rbvv7riP1iZsWo9e9h16zkfw6X+gbm13Rps7kRDM/gA9+4PE2WQYsOXuqO32Rg0YCdWD2rZOtFGBAIExYwiMGUPJAQe0rjfr662g0bfziHwzl/A3czD690/c0O1KW17k91Nz8Tn0O/d0VCCpgl89cCHwMFDAL95CCCGEEEII4R4JFQnRew2OXwkv/sHNcQjhHZ76drPIW4118PGb6I/fTExAbLsL6oDjUZtvjyouad1V9d8MTroP/cSFsHCGK8PtUGNS6LQzfSweAZZjfUu4FkANGg+DxgPWdLwevwf64dOyOkxPsVcqavFQqAjgxdvRw7dEjZ4AgBo0Gb31CTD7YZcH1k2plYrCLe6Mw8vswatCDRU5VI9wDgjZJT8mjtWNUkM6Dq3kDMdKRc7tz0ynAFBqaK4jSQGBzG6adUYehYqqbBP6zY2dv12wGMqrrP+/jR4PSwwYhnHhXaihm7Wu0mYU/dadMOM5FwdWiPKpUlHiedqZ10tVUkL5uedR/pvfpIY7rBDRuuXoOf9Df/YmfPtp1ofrKtOE2e+jZ7+f/PI6ejvU5J+jRmwNVTVQWgGG3/G9xCgvJzhpEsFJk9Ju11KpqJUKBqk87GAG3n4Dyt/mY+w3gJMB+VBLCCGEEEIIIXqQhIqE6L1ayyjoFpl4EwJIrgTg9Q//RX6ZNQ09a5o1+bDtbhgnXo4aNAIA5S+CI/+MfuwcWPa1q8NMRy+Zhdq6tb3AgcDFnbjZ68AWwC3Ar1M3quHboftvBqucOqnlOZ9tgi3svYo5+p5T4ff/RlXVAKDGHYbetAQWveXyyLohNVQklYraUr3gPc5IP3nbqaJDOnWTQ6goNZDVTpssQ6k2Lc206RwqijqFvTKtVJR0WJdTRfbzzvRgqEgpKC632pfumKgiQiAIO+6LquhjtTotq4LySlR5lXW9ogrKKq3bBRPtnvSa5dDkUOnH6URUKvY7U4C2KpRo0zrXdPwS288wrP3s1w2VWKfi123Hjm/z+VE1g5KH1LAe/fipsH5p5o+dF3npCwJJY3FvGJ2SQaWi4C670OfPN+EfMSJpvW6sQ3/8Kvrlu3vne/D3M9Hfz0z+VReVwtjtYcz2GMO3gNphVvs0X8DpKK10L2jB2Bm+6r4MeeJBSidvn7ppEXAl8ATef4YJIYQQQgghRN6TUJEQvVdx/IqEioSwqOLixEKzx6qLiMIxayrm+QfCQSdiHH0+SilUURkcfTP6L4d7ry3YvI9g/wvjS5sDOwHTO3HLtcCJwFPAT4GDAVtphAL9/F8ZKPvknNcqFQGYJvrWY+GqF1GB2GT4xLNg01JYN8fdsXWVLbigtS7cSjzdYWt/pgu2rYpTqKgTqaKUfQzHgFJKSCjSTqjIMDBTq00k3T6lUpHT7yXDSkVJr0FuT0zbxz5oM9hsIqCsoEw0Yo0v9acZAcMPPn+s8ltsfzNqPbfjYQ2lrDBE/KdhxJYN66EtLoe+A6GiGlVWBaWxQJD9emklKs3jq0or8J1/e8b/u6mhHS/TS2ai/3EWed/+0omn/s7w0ljS6EQLaFVRQeXlV1B2zDFJ63U0gvn6Q/DaAz05wvzU0gizP4DZHyQ/y6pqYctdUaMnoIaMhX6Dobg8qRV3aP7CXI/Wc/yDBjD8pX8SHD0yddMjwNlYbc+EEEIIIYQQQuSAhIqE6J2CwOT4glkvn8UIAWAUJ75p3iu/YSty6+WHMf1+jMPPtoJFZdXoLfeBz192e2TJNixDL/oCNWJCfM19WMGiziZS34hdNHAhgF70Baz+Ptsj9YbUb597tQ3XprXou0+Dcx9CGQbKCKB3uQrevQAaVrg9usxl2h6qN7I/Rp6abM8ihzYzOpsT+qmH6qBSUbsHSNmcWtUocSCHVmqOd+yhUJEt4GTsfSzsfayLgxFgBeP0jGfhzTvcHkrPcmphKNpKCiK2fR0q2mcf+lx/A75BidCc1hoWfIl533lW61/ReRtXw7QX0dNeTHpLMa5/A1VRDUBk2XJ3xuYBvtoaqo45nP5XXZK6aQlwKfA0nk/qCSGEEEIIIURhkVCREL1PH+BhbNUimj6c5t5ohPASf+JtUYdDLg5E9BrPPwC7HgDDxgCgRu2A9lqoCNAfPGoPFW2HVXnopQwPk0jtrV2cnYF5UWq4JeTBSkVxi2ejn70Rplweq5hVhd71Gnj3IgjnWeDYkH/WdKgTlSjynkMox7GVWcpeyYdyOFZqBaPUSkT2fdOFGsz2KhVlqf2Z4aGWY3kS7NBat/l96XALRFqs1/FQAzTXo5vroGE9NKyDTauhfjVsWAYbV0D/zWDkjg7/z06PQ6zlGTpx/irD+h0qX2vbMsAKiOnYfjp+3UzcNn5BJz/HtWmtj0agpR7mT4PG9d16vDzL/rzNk3PPE4z07c9UeTlVV19N6eFHJO2uQ82YT14HM17P1Qh7h4jt35+FGv7tQNFWWzDsucfx19akbvo98EckTCSEEEIIIYQQrpBP34XoHYYBxwOTgL2A6viGjQ8/Tujrb1walhDeouyTdu1MEgqRTXru56hYqIjqoe4Oxsn8/6WuGdiFoyxovVbZvzuj8bbUSkVer3o27Xn04LGo3acAoCqGoXe6HKZeDdrlMEImlFQq6lBSJYoCDRU5vHf7fA6VfuyTtilhoahjwCfln9DttJLrsFJRp7dkGI7wUqUiW8BJR6Mk/i9Vchuz+Frbdee2de2w30ab0NSErt+EbtiErtuI3rgevX4t5prV6FUrMFcuw1y2BFYspfy1T1AVlQCYL10LX72R2X3/8KV1ER7hpVCRl8aShv21KvbaF9x5Z/rcciv+YcNaN2mt0XM/Rt93fnIARmSJc0vO3qBkl8mMeOWZdJseAK7L8XCEEEIIIYQQQthIqEiIwncKcCdQnLqh4b/vsuYq+WxGiFa2SkVEPNqySBQcvWhuYqFqgHsD6YBe+R1qwJj44inA/Rkeom/rtaYCbpORGipqaXBnHJl47ib0wNGoMdsDoPpPQE86G2bc7vLAMmCvVNQLJ+I6xaESRUFxqDKYPtyTImUfx1ZkKQEl3U7Vp3SVipKCMqqdbXap1ZE6Yv9dR71TqajpklOJTnuv49v4/RDJ8biLilsDRQCsWZjb+xfZ4aVKRfn0MmsPnfp8VF71e8p/85ukXXRLE+Yjv4PZ7+d4cL1J7wwV+Wpr6H/1ZVQddZh9dRR4DHgWeM2VgQkhhBBCCCGEaCWhIiEK217AfakrzYZG1t12Fxvuvq9wv6kuRBeooC0MEJJv34ocqVuXuB5ok//0hkHj7YEisFppZirceq1QWy9B2yomXq9UFKPvOQ2ufAHVbwgAasSP0Y0rYc6TLo+sk5IqFfWeibiMGIVfqUi3pH+++Z3ahyVVKkoOCzm1IlP+lOBgO49l2jBTO6EHxyBTalvFjiT9rt0OFSXGojt73uU6UASoypS3tUJu01nI7M+pQv5bI9tsz1NfbW1SoEhrjZ73Kfrec6U6UU+zvyX0klCRr38tI155huBmo1I3nQA84cKQhBBCCCGEEEKkIaEiIQrb8fEr0bo6Nj74KC1ffkXTex9ibtrk5riE8CQVsE0UhqVSkcgR+5yBcmjR4zJ18oOpq67t1gELeaLEH2y92qXWPS7SNx0J17yKKqkAQG1xDLphFSx+y+WRdYJUKuqYPZhSqJPtwWDH+yRJnCsKlfxy7FDlRIfDySvaCcqkPUbS6Zm83fE1I9OKK0mtjFxuf2Z/X4uEnfdzmSota72utYZIfgRCRQqvhic93v3M6TVGh0OYT/0RPnk1xwMSveVvmSEP/CVdoOgBIE9S7UIIIYQQQgjRO0ioSIjCNjF+Ze21N1D3mHwuI0R7kkNF8k1ckSNjt0lcb1jnvJ+LVGr1HXi8C4dJzPa7Pcndk1Lbn+WTUDP61hPgsqdR8XDUpLOhaQ2s/sLdsXUkKTDTOybiMqZ6QfuzbtApFa4cAz6pQQXT+bFM33bNef/shYq80/5M2Z+bUQ+FPFKoKlulInl+5K+kc9/tvzXy5DzachfU3kcmrdJaw4JZmPedB43yZaScsb3W51swPVP+oUMYdMcNlO6+s331jcB1QKM7oxJCCCGEEEII4URCRUIUrtHAhPhC8/RPXByKEHnCb3tblEpFIkfU0M0SC6sXujYOR2V9U9e8Efs5CjgCGIf1N+Uq4F/AdMAAaoChQAVQC+zbeoRQQ0+O2F1JoaI8nBBauwR9zxlw9v0ow0AZfvTOV8B7F0PdIrdH50xJpaIO2dt2uT7Z7hWZlw9RRUXJKzKt+tTO+em4xciwip1n2p+lPL5RD1cq6lebWPDwOEUH7K0wvVSpyIuCxahDz8PY6/Ck1ToSwnzkSpj5tjvj6tXs7fvcG0VP8lX3ZcRrzxEcMzp104fA5S4MSQghhBBCCCFEJ0ioSIjCdVX8Sui7+YTmfuvmWITIPzIpLXKlvi5xPVji3jicDN0mdc1FwO+Aq4HUsjwXArOA8UDKzHuCXrUgiwP0GHuoKF9fRhbORD91LRx9DUopVKAMveu18O6F0LzW7dGlJ+3POtYrQkUOLXzy5JxwHmeetj9LDUOF3a2a1B5VOyCxEJIiGXnLfu57qs2jx/qfjdoG48Q/oAaMaF2ltUYvnI2+8xQJ1rkl6bXbS+dvdhgV5Qx54sF0gaJZwHEuDEkIIYQQQgghRCdl+JVHIUSe2Bo4Ib6w4Z77XRyKEHkq01YjQnSRXvRNYqF2pGvjcFRalbrmY+CPtA0UxW1Le4GitYth9pvZGZsXJbWKy48gQ1qfvop+86HWkIMqrYVdrwG/B4NvkNLaq/Am4rIiqQ2Vd8MdOdXOW71y2pga/LE/rinMdCEh5fxP8PTt0sg8GJQ0Me3i71qlPDYR7wYVjBpbqKhpo3sDEdnjepjQ7ftPwx9AHXwGxiV/Tw4UhZoxH7oEfduJEijyDA+eP93gq61h2PNPUDp5e/vqeqzPrSYAC90YlxBCCCGEEEKIzpFKRUIUniDwKLFpktC331H31L/cHZEQ+SJp8kFytyJHZk9vvarKqtHBUm9VSVj2Teqa4vgVXbcavvyPFVCYeCCqojZpRx1ugcYN1gTVuh9gzSL0h4966/8v2wqpYs5r96FrR6Am7geA6jMavePFMO2PgMeCO0mhojx/3HuIslUq0gVaqUg5hHI6V6moc+eNTt3P5/z3Qtr7NexjTN5uOLU5y7Rihf1xcDNAlvr/4+FQkepbnViQUFEec35+9Xqjt8U47veowYkqMVprWPAl5l/PgpYC/tssHxXQ3zIVvziAAX++Fn//pH8nLAN2BTzcW1cIIYQQQgghRJyEioQoPBcAk+ILa67+UwG3uBAi2wrnw1uRRxZ/h9Y6MRleVu2t0M3Kb9GLZ6KGb9e6SjduhC9eQX/wKDRvslZ++Dh6i72gpAKWzoFV8yHURK97XtkrFRVCxZzHrkD3G4IaviUAatBO6K1PhNkPuTywFPaKKAU0EZdVftu56WZLLOHIsXBSxue0R9qfpVRlMj3c/ozS8taruqXBxYGIbknKFLn9XuCRqqdFpahfnY3acwrKFvTT0Qjmv26Gqc+5ODiRxBYIzZe2ne3xD+zPkMfvp2TShNRNdwPnAx5+UxBCCCGEEEIIYSehIiEKy0DgyvjCxseepPHNt10cjhB5zPDIRIAofGbEmviKTyRU9IP1P7g7phT6yQvROx1uVVKaNxUWzoi1x1BQUQvVQ6FqIFT1t6oVDdvWapsWLIXiCvAHrRZBvkCscoWyAjfRCERDVvioaRM01VmVjerXoOtWwfrlVoWjjcvzJwThK6BKRTH6zpPh6pdRlTUAqHGHoOuXwMI3XB6ZjVQq6pj93IzIPF6HnP4MyOD8alPVKFe80v4stTVcJOTOODpBlZYmFrwU7BUZsp37br8VGB4I9w0ahXHmnajaoa2rtNaw9FvMe86C+nXujEt0LNMKdR7jG1DLsOf+QdHm4+yrW4CrgZtw/xkqhBBCCCGEECIDEioSorCcBZQBRNesZe0fbnB5OELkGfloU7gl3AJFJdb1ihp3x5JOSwP875/oQeNh0HjUtj+F2lHQbzgqWNIjd5lUbMCMwMaVsG4prFmAXvEt/PAVrFmE5564RoFVKgIwI+ibj4GrXkQFY93vJpwJ9StgzSx3xxZXiI97ttlDRXk+WdkzUlJETi8tDi3WelaGr3NeCRWp1PZn3g2zqYrKxEKDBC3ylv3cdztgag/VufGaO2Yixpl3oEorWlfpcAjzXzfBtBdyPx7RMeWhUFw39DnhaAbedn3q6nXAfsBnuR+REEIIIYQQQojuklCREIVjMHBOfGH9PfdhbqxzcThCCCE6LdScCBWVVLk7lrjSPjB8O9SIiTB8Oxg4FpVadSJHlOGHvkOsy2aTW6f+dVMdLJ6FXjgDvv/EarnmtgKsVARA/Tr0PafBuX9HGQbK8KN3vgLeuQAalrk9uuRQUb5Utcq1QDBx3cMVY7rDqV2MYRhp19ufowqVNIdrOoTTMnkdVGnLHTm/LjhuSQ3nZCLqZqWilHGHw+6MoxNUn+rEgoSKCoTL78H2522uw30DR2GcdSeqxGrrp7WG7z7DvPdc629O4VH2QGj+hX99A2oZeOv1VOy/X+qm94GfYFUqEkIIIYQQQgiRhyRUJEThuAaoAIhu2Ejdk8+4Oxoh8p0rlQhEr9XcBBV9reulfdwZQ+UAGDEBNWICDJ+Aqh3Z6Ztq04SWJmjcBJs2oOvWwYa10LARXbcemuohErYqMoXDgAafDwJFUFwKZVWoPsYC90oAACAASURBVP2gqh+qshoqq6G8D5SUgWGgHJ6PqqQSxu+OGr+7NY66VTD3A/Q378GCz0C7EC4xCrgazOKv0E9fB0f9HqUUKliB3vVqePdCCNe7Ozb74x6VUFFa/kDiuocrxnSLQ4DGcHpPt2cOUvYxnUKBvpSgTNT5eZ72tctMutPkTU6vGU6hqM5wM2SnUtufeTRUZBiomgGJ5TUL3BuL6CYvVSpyKSBSXI5x+q1JgSLzzUfg5XtyNwbRNbb3DKeQrFcFhg9l+Mv/JDB0SOqmN4FfIYEiIYQQQgghhMhrEioSonD8Mn5l3Y23Yq5b7+ZYhMhPefbhrSggG9dC7WAAVFX/3Hy3vt8IGLEdavgEK0zUZ1CHN9FaW8GhlUvQ33+F/nYmzP4frF/d7eHolJ+tSsthzHYwZmvUyC1Qg0dDzUAIFLWZsFeV/WHHQ1E7HopuWAdfvY2e+Ros+7rb4+s0X4G34frkFfTgsai9jgZAVQxF73Q5TP29OyGuOMMWmJFKRen5Eo+RLthQUfrfvWE4BYVtrzhGZ0NFKf+Ebud886ULA7XzAu94n92pEuep9mfeDBWpmv6ooK2S19LZ7g1GdE9y71TXhgEkP29zVTFMKYxfX4MaOLJ1lQSK8lSeBNNVaQnVp55I7ZWXpNv8HvAzID/+Z4QQQgghhBBCOJJQkRCFo/VTy8jq7k/uCiGEyB29aUNiHqyovGfupM8gGLUDauT2MGp7VEVNx+Myo7BuJXreLPT012HGO7mf5Gish1lTYdZUNLb5+L618KODMSbtCcPGQlFJUshIlVXD5MNQkw9Dr/gWPeMF+PJ1aGno2fEaBR4qAnjxdswhYzHG7giA6j8BPeF0+Pxu98Yk7c865rdXc+pdoaK04R5IDhOnVioy0wd8VEqlIt3Oa2L6AknO+ztWpsikemJqdTc3nw+pj3vIm233VL/+rdet8OwGF0cjusd2zrn9XYGk9me5eR6qn/4aNXGf1mX97QwJFOUT5aFKW53gq61h+PNPULTF+NRN5wN34v6zUAghhBBCCCFElkioSIjC8RZwOEDf039Lw8uv5cUHUUIIISClB092DlleA6MmoUbtACO3R/Ud3PEoImFYvQw9dwb6g1dgzqfZGUtPWL8aXnwQ88UHreUho1E/PwE1YQ+rjZo9YDRwLOrnF6P3Owu+fB39yXOw8rueGZevl4Rb/noG+qoXUdWxCluj9kfXLYH5L7ozHnubJWl/ll7AVs0p7M2KMd3m8JwzUivmtEq89qZWPjOdQoHdqRpk3ZPzFsc2bRn8TV+aEkyNuvi7tj0vvdzKR/Xtl1hw8/ES3ZdUqcjt9me2151cBDm32Al18Bmti3rTOsy7T+/5+xU9w+3ztwP+gf0Z8o8H0gWKHgXucGFIQgghhBBCCCF6kISKhCgcdxALFRXvMIm+55/N+tvucnlIQuQZ+4e33Z40FCID9RsT18v6du0YJVUwchJq1PZWRaKaER3eRIdaYMVi9FfT0e+/BIu+6dp9e8HS79H3X21FBGoHow45A7Xj3qjSitZdVLAEtv8lavtfohd+jp72JMybSla/SO23tdAp8HCLvvkYuPoVVHGZtWLbk6F+Kax0IYxmr1RU4I97Vyl74M2jbai6zSGU4xxoUbZ9OnkfKTsqpypIjsfsQqgok9eokrLk5YiL1YHaeWy8xKipTSxEWtwbiMgCe6UXl6sF2sOMPf2+1Hcgxm+uR8X+/aKjEcxbT8ybFloiLj8qFVUc9DMG/fV2jNIS++p5wCPA7a4MSgghhBBCCCFEj5JQkRCFYxrwHHAoQL/LLyQ4ZjSrL70Kc9Mmd0cmRJ7QEdu3iANB5x2FyDL9w/zEwsCxUFwJzXXt3yhQAqNj7cxGTkQNHNfx/YRDsHwR5syp8M5zsGJR9wbuVauXoe+7En0fsN1uGIefAyPHo2wTfGrkRNTIieg1i9DTnoKZr2anQoWvF7SYimuuR99xElz8BMrnRykfevKl8N5FUJfjc0v1kgpR3dGbzs0s6HTAp53WZGnDTF0pRpdRpaKUUJGrlYryI1Skqm3tQFsa3RuI6L6k1n8uB2qSKhX14PPQH8A49SZUuRVK11pjPnoVrF3ac/cpekZSJs57gTCjooLKI37FgBuuSQ3UPgicgrQ7E0IIIYQQQoiCJaEiIQrLWcB2wBiAiim/IrjNViw/9iQii5a4OzIh8kGu2xQIEffBK+gjz0UphSouh31PRf/75rb7lVTBFnuhttwbRkxE+dsPv+loBFb+gP7qf+i3/y+/KxF11cypVoiqtBx17EWonX+GKi5t3axqRqAOugy950noj56AT5/v1uSf8tl+J2YveB1Z+T36sd/Br2+0zt9AKXqXq+Hd86FlY8e3zxZ7dTl5/U7Pl2h/pgu1/ZlDiEV3ap6zq3Oh7YSKMjym45EyCRW1qVQkoaKOqMo+iYWWevcGIrLAQ5VebAEn3YNhV3X4RahRWyfu66Pn4fM3e+z+RE/y0PlrY1SU0//aK6g66jBUMOnfHnXAH7GqE3lnwEIIIYQQQgghsk5CRUIUlhXA7sCzsZ8UbT6O4e+8xvp77qf+pVcJfzffUx9QCeElKpCYcKVF2l+IHFq3Ej1zKmrC7gCoHQ5BL54FX74OygfjdkNN+DmM3TW5hVEKbUZhzXL015+g33sR5n6Wq/+DzPgD0KcGQi1Qty4399lYj77/GvT918A+h2Ecchr0rW2tRqIq+6N+dj56l6PQHzwGn7/UtYo3vl7YhmvW2+g3HoSf/MYKFpUNQO98FXxwOZg5CjTY25958Nv9nuCzBa8iEryytNOKzGlb6t/R7VYq6ug+U1qpOR0rg7/dVUkiNKnNKGgXX4fypP2ZqqxKLEioKL8pL7U/6/mqSWqXgzD2nNK6rJd/j376+h65L5EDXqq0FaNKSxj6xEOU7rZT6qYQsC/gQs9bIYQQQgghhBC5JqEiIQrPSmBv4FrgCrDKVPe77EL6XXYhZkMDLV/Mov61N6h7/Cl0Y5OrgxXCS5K+eRlqdm8golfSd1yIvv89VLAYAOOQa9Dj94ChW6GqBqa/jdZWIGnuF+gPXoSZU3M55I6N3Q7jgONh3Hbww3z04nmoLSfDsDEovxXi06uWomd+iP7qY1i7AhbPA6VQE38E4ydCSTlsXAtL5qFnfQSbNnR/XG8/i/n2s7DFDhgnXgFDNkuEi6oGog68BL3r0ei3/gpz3sns2EmhogKtBpPOf+5HDx6L2mYvAFS/LdCTzoVPb8nN/St7paJe9LhnQtqf9Qwje+3PshIqslVic/25YH9eepi9UpFuzMJ7jHCR90IZPWbEFqhjrmhd1C1NmLf+2r3xiOzywhfBfD6GPHJvukDRCqx2ZxIoEkIIIYQQQoheQkJFQhSmCPA7YBbwN6BvfINRVkbJbrtQstsu9D3jFFacfi7NH013a5xCeEvSXF6BT0QI72luxPzTKfiufax1ldpq3za7aTMKi7/FfPd5ePf53AfgqgegJu0JI7dAjdkGyqpg6Xz0ikWw5Dv0jHfANFGHnYHa5zBUvFJF3/6obXZpczjVfwhqvyNgvyOAWMu2aKQ1XGWnTRO+mYH+/mtYswy9ZjmsXmqFkUorYN3KzKoLzfkU85JDYMTmGKddB8PHJcJF1UNRh1+PXvo1+r/3woJPOndMW4upXhfc+PvF6MueQQ0YBYAavjd602KY+0zP37fRCytEZSqpUpEEr9rocvezDNuftbO/c/uzDP4mKS5JXI+EOn+7nmCvVOSFCXInFZWJ6005bNsosi+pUpF7w7Du3zaAdp73XVJWhXHKzahAkXVXpol59+nQ0pjd+xE5ZmuZ5/b5C/Q7/0zK993Tvupx4DdAGPefYUIIIYQQQgghckhCRUIUtn8CbwGnA1OAbbB9UuUfPIghzz7ByjPOo/6FV1waohDeoUO2SdY0gQYhetRO+2Ecd7HjZr1mGeZbz8Arj4GZ47CKz4+aciZql5+haoe03d5vAGrbXa3rJ1/VrbtSPn9yRRX7NsOALXdEbblj2u167Ur0vx+xWr81ZdDCZtE3mJdPgTHbYJx6HQwelQgXDdkSdfxd6O8/Qb9xF6z8rv1j9eZQEaBvORaufQ1Vak3Sq61OQG9aAsum9ewdJ1Uq6n2Pe6fYnlc6LKGiNro6559hWCCprZrOfvszSmyhoqjLoaJsByl6iLKHiupz1JJT9AwvtT+zU1lsBagMjJP/hKoZDFgV0cz/ux0Wzs7efQh32F8yXa60VbTtVtRefoF91XTgRECS20IIIYQQQgjRC2Xxkw0hhEetBf4IbAdUArsDt2F9uwwVCND/jpvw1fRzb4RCeEVYQkXCBZP3w/jb2/jOvw1VMyjtLjocwrzmBHjp77kNFAWKUPtOwbjhXxi/ODl9oKhjS4GPgPnAO1itObcDgsBQ4DSsEOzclNs1AP/Aeg97HFjW0R2pfgMwjr8U457/oo48D2Lf4O+0777EvPiXmDefhV6/KvnYo3dEnfIIav8LoKjc+Rj2ijmZVE0qFJEQ+rZfo+1tl3a4CKpG9ez92h53LVV40jPswateeG72lHbCAmmzQD2ds0mqVCTtzzpDlVUkFqRSUX6zPx/dfg+2vQAoI3sfvalfnI7aatfE3Xz1Ibz3VNaOL9zkHDrNpeJJ2zH8uX/YV/0A/BwJFAkhhBBCCCFEryWVioToXeqBqbFLvIpRhVFWRsWUQ9jwtwdcHZwQrvPb3hbdnogThW+zrTHO/jMMGNamOoVeuQj6DmhtAaYCQYw/P4d59k+gOUutLUZsjhq1JRSXonbdH4aPsybg6jfCkm+tfTbfHlVSlu7W3wOvATOxQkPbAMOBg4F48mgd8CfgXsBp0EuB+2IXgB2w2iosAB6IHSNOATsDewGjgRGxn5ulHlQVl6B+cRJ60o8wH7sJZv+vgwcjxRcfYJ75Y9jzlxjHXoQqi1XdMXwweQpsuS/61Zthzrttb2uf0PRSlYRcWrsE/dDF8NvbUUqh/MXona+Et8+FcAYVpDJhSKWiDtnPTXmMYpwnbdO2LoM01XcynPjt6Xlie5gy11XtUqk8aH+mFKpfTWJ5/RL3xiKyy/ToOdcNavv9MA44uXVZb1iFvu98F0ckssrlSkUqGKTv6SfT//eX2lebwPFYX1YTQgghhBBCCNFLSahIiN7rY6wJ2wsAgpuPc3c0QniAKrZNxDX20MS3EJXVGOffagV2UsNES+ZivvYQfPEOoFFHXIqx5xQAVFklxq0vYZ57AES60dJmyx0xjr8UNdzhdb+4FBwqJgHPAZcBqT3AXo39PAurClE58AnQkuHoPo1d0tHAtNjFrtR2ORs4CagGUEPHYFz2N8w7L4ZP3spwKMB7L2C+9wIccirGL09B+a3WZqq8GnX4Degv30C/dis01SVu47e1P+s3BMZNhnAzhFsgHIr9tF2iBRpgnDMV/dq9sP9pVrCobCB6x4vho2ux5qeyTNlDoRKYScteKaNQKxU5BPmUY3kgnbRX0hbHEEzKsdqZ+E3X/SsprJT6HuB0n5m0TjI8FGxMqs7izYCH6te/9bUdgJXfujcY0X1JzylvnnNdNmAk6virWxd1OIR583EuDkhkn3vnryotYdizj1O60w721WGsv6vfyelghBBCCCGEEEJ4joSKhOjdEpO9Xv32sBA5ZBTbWp5JqEhkm2GgTroStc8hVsUbG71sPuaL98Cs95LXP30jZlEJxs4HAqD69se4/mnMSw7p0hDUz0/AOObCTG/WADyK1YJsOu3Pcmjgiy4NrusaSVRCuhi4FrgROBOs6kLGWTei770SPe0/XbuH/7sP89XHUefdjtpm59YwmNrmJzBiIvr5a6F6KGrMLqgt9my9meo7EHX6Pe0eWptRCMVDR82JsFGo2VpuabIqpymVvD7cgo6ErFBSJJJ823CztV9LE7Q0JKrSmFEr2BRpsa0zrWomPfF3wJt/R4+agNpiF+vxGLgDeosjYc6T2b+vpEpFBRrU6i57wMOFCgg54VCZxDAcQkX2fI+RGvBxuI/UNkbtPJZGujBQO88102lbBq2TlM/egtHl37O9/ZlH/6lhDB3Rel1rE+rXuDga0X3eaB+VdYFijFP/jCouBawAovm3c6BOiscUKp3DSltGnyqGPnpfaqAI4HdYrYiFEEIIIYQQQvRyEioSovdRWK1i9gRaa6dH165zvIEQvYU2zcRURAYTeEJ06MdTrDZascmgOL1xDfrle9HTXrICH2nox69Dl1agtrXCKmroGNTxl6EfuzGzMWy7a2qgSAPzAQNYDLwAvA1sDgwFgsBc4D9Ac2Z35qp6rIpJTwEvA31VIIg6+yaizY3w+ftdO2pzI/rGU9FbTcY4/w5UaTkAqrIWdcLdXR6sMnxQXGZdMr1tl++1LW1GrfBSNGwFj6Jha9mMJFe10aZVKau10lLE2tf+MxKGUBOEmtHzZ0AsVATA5kfBhvmwfHoWR09ypaKwhIrSSmp/VqCPUaaVinTyXnamU5UfX3IotL2wTLpKRclBh85WKsrg2W4fn9uVivKgaozqPzCxEM60uJ7wtAIKFamjLkUNGdu6bL7+d/jWqbCjyFsq96E4/+BBDH3iQYq33cq++mmsqtZSoUgIIYQQQgghBCChIiF6CwUcABwP7Af0Td2h4fUutIURosDohkaIVyuq6OPuYERhGLsdxrk3oWoGJ63W4Rb0W/9Av/4ItDSmv22cGcF84DKMCx9EjbQ+8Fc/PRL9xlOwYlHnxjFhD4xzbravmQ8cSfpWY1927qCeNxXYH6s1WzWAcdJVmFcfC+tWdv2oX32MecqPUBfegZqwR5sWdhALBsRb1Bk+a5IoFuhIt78XKMMHQR9QDCVZPG7qsjLQO/0Opl4Jq2dl745slYqMPQ5E77yfVcEpEraqtWjTmqDTOhaMisTCUfGAVNiq/BRqsdaHWqxLNAKRCDoeuIqErQpQoVjVqOZGa13Ytj0STmxvabIq34U8kMuzhWW1tIizJJ2gyRO4js/V1Oo/7QR3nNuupec4hZxRqMj2T3ztcps7w/uVilRFZWIh4oHnqeiedp7TOZelgIja5SCM3Q5OHGrRV/Dvv3VnZCIf9HSlOcOg+szf0v+ay1O3PAGcABRon1QhhBBCCCGEEF0hoSIhCt9I4GFgr3QbtWmy9prraf5YvukohNnYiK9ftbVQXtn+zkK0p7Ia44LbYfzENhPT5qdvoJ+/C9Yt7/zxIiHMBy/DuPJpVHEZShkYF/0F86JftH+7ir4YJ12J2mk/+9oW4AhgRucHkLemA/sQa8mm+g3A+PNz6BceQL/1jBX46Aozgr75LPRuB2Cc+keUP/EntV7yHeZdF8PS+elvaxhQXA5lFVBWaf0srYTScigps34Wl6OKS6C41Lr4g6AUKlgEwRIIBCEYtCbsfX7rp98PvoBVpcTwWfdjGNhnWL0SaFKGD73DRfD2OdCyIUsHTa4eowJFECjK7BDZGUlaiQo02mrRlRpyikZj7e1arFCSdSOrgplpWj+j0VjlqAg6HILmJmhugKZGdFN9LAxlb4nXAk2NUL8e6tYnh01CBVqRxeEc150KF6SEihyrG+n2l5OGk+YY7ezvXKkog+qJ9kpFrrc/s43bo1VjVKUtRO6F8J/IHrfPOdvzX0e7GOQcvBnq6MsSx2luwLzjt90dmfCs3FQqUiXFDHn4b5Tvt3fqpluAS3A9kSeEEEIIIYQQwmskVCRE4aoGTgcuBSpSN4bmfUfTx59S9+gTtHyRxUoBQuQxs8FWMaa8yr2BiPxl+FGnXI360UFW5RcbvXgO5r9uge++6Nqx1y5Dv3wvakqshdmgETB6K/j+q+T9fH7YYnvUxD1RexyESj6Xm4CD6R2BoriZwG3ABQCqrBJ1zIXoA09EP3sP+p3/c2w916Gpr2LOm4lx1o1QWoH5l0tg8bz2b2Oa0FhnXVYvddwt3WxOt2d4DANKY2EmfwBQ1s9gUexSDCXlVpApEIyFl4qssFJ8csvnQxWVQHEJBEutMFMgCD4/yh+wzr9AEIqKrTCUP2BdfH4oKUfFAg+qpB968qXw4e+y06LJF+z+MXpQIlyiwAex/6Qo7/zxujmeostvQl/wh1hYybQqMpkmOhqFxgZ03XortKRN68QzTXSo2QottTRblZvilaBi13U43Hqc1tBUKh37j7Zd4me2JmmdNk1boMq0BawS13U8bBWxwlZqs81R/fpDc7M1BqWsR0v7EpUIwToflZFcvSnlNHTM4KX8f+l2gjvpj2G7fcr27LQ/s1cqcjtUlAftz2oHJBaaN7o3EJF9bgdpba8vqqoGPWiUFSol5bUPlXitio9ZAcFijHPuQQWt8oFam5h/OSNRCVEUtPbeW7pr0J03pQaKQsCZwIM9dqdCCCGEEEIIIfKahIqEKBzjgBqgFNgNOIdYu5e4hjffpu6xJ2n6aDpmXZ0LQxTC23Sz7RvqRaXuDUTkp1/9FuNXp1rVZGz0xjXoF+5GT3+l29861u/+E733kaiaISilMI6/FPMPJ0LNQNS2u8PI8aidfoIqS1tp62Os94bp3RpEfroImA3cDlQBqKpq1MlXofc/Dj3139DShP74TViTQQUpgNVLMa8+LusD7hGmCfUbrUs3OJ3FnTm71Tm3YOz8E+t67bboiWfBZ3d1azxAUqjI/OYN+O4dCJRawSdlJF8MH/iDKH+RdTt/LDjlC8Z+BhLL8f2NWEUowwdGIHk/FasMpQyUkT//vFJFxW3XtV4blcuh9Djfhg34VqzvYK9Ovj6nvo63FypKF/8yk/do79CJ3TIIRxj26kAuh4ps4VoVLKLo/KusQJqpY20hrZaI6ej42DVWNbiiYlQwFnaMRNAtzdDSnGgvaahEu0nDQBlG63WropthVXGKVXNTPuu57Z+8e+I+1y/r0YdDpGPAr65DDRxney2NV9uLvea2rlexCm5m7KljC+OAVdHPSBfYdInteWsc3abFVMbMV++DxV91vKPIX0k5zJ4JYvY95ddUHppU6fQlrC+jyQugEEIIIYQQQghH+fOptxDCSSnwFODYAye6YSOrL/s99c+9kLtRCZGHdEuiHYwqKvHod+qF50zeD+O3V6Eq+iat1uEW9FuPo19/pOtttlKZUfS7/0QddgEAatwEfP/4vKNbNQKXA3/Bq6Uiep7GagX6CnAZcBrW+ydq8EjUlDOtvY69CPODl9EfvgJfTnNpqIVN33URerPXULVDAFAjf4oO1cPsv3fvwIatUtHa+bDgo47H0r17dD6m8iUmw1vDSrHwkj+YHGRqDTkVQ1EZBMtQ8YCUiockDFuoyW9dfEEIFFu3CxRbx7MHn1RsX38QAqUon/yzr0Mp4SDndoGp7c+cD5n+GO20P3PYpowM2p/ZQxVdrcKWLSmBoeCU410aSCc1rnN7BL3PPmdgbL5XZrfpZG5Ih1yu6BONxqoCdp9e9BX856GsHEt4mS2IVlKS1SNXTvklA276A77KpC8evAscCnSxP58QQgghhBBCiN5CPl0WIv/9BYdAkVlfz4a/PciGhx7FXCsfkgvREd2cCBVRnN0PckUBGrk5xjk3waCRbSaOzen/Rr/0V1i3Iut3q6e+CLFQUTtagA+wQjSPAhuyPpD8tBq4EKsd2h+AXwNJs97GHgfBHgdh/vMu9IvSBaInmJcfgXHXf1ClVrsvNe5QtFLwZTcmTH22idtQo/N+uaBjLbmiQDjzQGGPhJ0MP8aZ/21dNt99FBbMsiq4+OLVl6wKTpRXQ2VNcsU+I9bWLlCMCsQCUYYvVgHGl7iuYtVE0oZpEtVEWpdVB9uUQWs1EmWrSpJapSS+TetYpZ7UCkC6tbVYuqCP2dSEuX59m9ukl3x75XdOOETTVTEybLdPuQ/DIciUURscn4dCRY159taTR5XGCkb1sB45rF6+GD397R45dmeZ/34K4+Djk6uHkf41yPn1BtiwEvMvp2d7eMKLbOdG7dWXsenl17Jy2L6nnMiAG65OXb0EOAoJFAkhhBBCCCGE6AT51EyI/DYZOCm+oFtaMJubaZn1FU3vfUDdU/8iumq1i8MTIr/oqO0zVYd2HEJQ0Rd13i2oLXdsMzGk536C+dwdsOQbN0a2AngbeBN4Huhej6vCthQ4GbgZOANrUqXGvoNxxDlEv50Fcz+DYWOhshrMCKxYAmukQ0S3NNZhXnooxi0vtrbgUmMPQRf3gxl3gNmF6hL2SkVuh4q8yIygtZloNfXNNFjQYZWztDxd7mzkBNSkn7VZreobYOEX1sKoia3rQzO/gHA4bZsZxzn+1KpBAedKJGlDRco5hOT3OWwLhx1v00bA9lxwO1S0ZCbmO/eiRk9u28pKa0DHTqjUB1vRpg1QJATRsHWJV+HyBWLH0Fart/gvLf7/HV+nTetiRmM/TSv8pzVqq/0S9zpsO2+f34XI9re3Xjwf843nIBKBaNhqldfSAqFmCLVYz4NAAAJFid9n9P/Zu+/wtsqzj+Pf52h4Ox5xhrMXCSE77LBDAmGk7JQXKFBmWzZllUJbyp5llg1llg0Fyt6UACGEhIQRsvdy4nhqnuf940jWkSw5lmNLtnR/rkuxznOGHju2JPv8zn2Hblpb1Rw9DeBphDXLW2xNmArmI7dgPnJLs3HnnS+iho4EQK/+BfPG41M9NdFJ2asKBtvporDio6fHCxQtwKpQ1P5XPwghhBBCCCGEyEgSKhKia2u6ZNEzbz6rDvqV9UdYIUTbmLZTSYlO7InsZRio069G7XcEyoj+/tBrl2K+fCfM/6zDp6H2OTp2yAdcCjwC1HX4BDLLT8B5oVs34HDgOqA/gOPPD6MbalH5RVE76V/mYt5/FaxdltLJZpSqtZhXHItxwwuRYFG/fdFFfeCrG6A+yfNcDluQog3VgTKe4YoEigA89embS0fS8UMEiVuZkTA9lKgVWbOqI/YQT4xAsHmoRzls+usEHQAAIABJREFU+8fMN2GoKNj6UFFUq7t0h4oAvngC/cUT6Z5FQnrxTIzpV1sL5QOhsDvUbUrrnLKK7XtUr1+N+crj6ZtLW+TkoYaPgfIe0b872J9XDAc4HCiXGzV0ZFOgCMB866EUTlZ0dvqX2ahhE6379gq6beToXk7PW6+1D60EzgHeApJIqwohhBBCCCGEyHYSKhKia9snfKf63gclUJSAe9RI8ibtQc6okbiHDsHRqwdGt2LrD7uhEzs6GET7A2ivF+3xYNbWEdy0icDa9fgXLcbz7Vwav5oFHk+aPxvRkbTPVh3DmfgkochC007A+PX5qJzotni6djP6jQfQn79qVbFJBUezqhhDsU4SiO2zFXgKWA+8Gx6MDRQBqGFjMf7+NOaDf4Wv30vZBDPOuuWYFx9uBYuKSgBQJUPRB9wN8x6E5Ul8be2hIl+GBma2R2x1nUAbqkF1BQlCRfa2YlrrlkNGIaYZP1SkYoM/LVQqCsQL9dj/L2ICTU5HgiqJyVQqsrdjS/D1EDY/foSecgEqrxilFHq/s+GNa7e9n2gf9u/RVvxcdhouN8ZRp2IcdSqqsLhNh9CNdTA3vS3aROeiN62OhIq24/nbWdmL0tN+Q/kFv7cPVwP7A4u3Z45CCCGEEEIIIbKThIqE6LpKgUHhBe93c9M4lc6l4LBpFB13FLkTx+MoL2t+8icO5XJBLlBUaBsdHrWN1hr8foJbazC3VBNYuw7/0mV45/9A41ez8P+0sH0/EZFyusFW3SIvP30TEZ3HqN0xfn8dqqxH1LD2e9EfPI1+51/gSUFxoMFjUeP2h4at6Flvo/c7DlVcHl57PXBSx08ia7yHVfnpJiINeLxYwa0coB9YYSPHBbeh5/4P87bzICAXfLfJ5vWY507F+OsTqIEjAFCufJh4Abr7aJj7Twhso/KQckZX4ZH2Z83FtvTsDBVsOkKCzytSAUi1KlAE4EsU1s+Pfn+gnInfZ8YNJtkfPyZUZCRqvRpMIrRqf8yuFNJIl4AX5r8DuxwLgBqxP1pCRaIlg3fEeeF1qMEjtuswevY77TQhkTGMxK8PrZW/z570+df9OIqbhd2uRgJFQgghhBBCCCHaSEJFQnRdkwid7AxuqsK/ZFl6Z5NOhkHRjGPodsqJ5IzeCeXqmKc2pRS43TgrukNFd9w7DIV992par7VGezwEN1YRWL+ewOo1+Jcux79oCY3/+5LA6tUdMi/Rfsya2qb7Kq8oUeMTkQ0q+mBceDsM2rHZCWjz67fQr90Dm5Nsz9QWrlzUSVdh7HJw05A+5MzYE8UnAJcAKZhQ1rgFeB3YG1gLfAiEkypHYVU0ygNQYyehzvwb+r4/pWOemcHnwfzTcagTL0FNO7HpZ04NmIzuvhN8cztULUi8f2z1Lm9t/O2yWWxYJVMr2PjjV5R0h98bxoZsWvg6ePzxqzkZRTHVy4yWQkXNj69aOGnsiK0oFRanjVpCUceUUFFr6DmvocKhIlcuetKp8L/H0jwr0ekUdsM46VyMaTOiLlrRWoO3AeL8vKOwfiZN03q+0RoMA71qIfq5G1I3d9E1KNvrSbzvp21wDx9GnycfxFFYGLvqfeC+7ZmaEEIIIYQQQojsJqEiIbqu0eE7nm++Tec80sY1Ygcqrv8reXvshnK2/HRmbtqIuWoFwdUrMFcsw9ywDr1lC9rrAaVQuXmoggJUYZF161aCUV6BquiBUdkXo2fvbVY8Ukqh8vIw+vfF1b8v7DIxar3WGgJBTI8H3dCAWV+PWV1DsKqK4JZqzOqtBDdutO43NKB9/shJJIcDs66OYNVmzC1bMLdUYwaC0CDVGNpTcMuWyEJB85ZHIgu4c1G/vw6124HRlU8AvXgu5ou3w7L5KZuOmv67qEARgHI1a82ngGIkVNTefgrdYr0M7Au8AvQBMPY6DD1kFObVJ0J9TQqnmFn0U7egP38D48+PoPKtE2KqoBfsezN68RvwwxPgj9PazBHzMyHtz5qLDdMEM7Syljd+VSvDMMhxufAGY+LCLaSH6z3euOOqKKb6Q4L3h1rr+IdXidufJQ4VJVGpyN6KSap2tc7GJehf/ocaNgkAtesMtISKUsMe7Ev0/d8JqL0PxnH2laiS8qhxvfoXzAcuhC3yFky0A3urzgQtOBMxigrp89h99kBRAOs96ybgSiBDSxQKIYQQQgghhEgFCRUJ0XU19V6ICkJkAfeYUfS853bcI3ZI2MIiMH8ugVkz8c+ZRXDB9+gtVdv3oC43Rt/+OAYNwehdidGjF0bP3hh9+lm3ktJtHkIpBS4nDldhTJu17aPDJ6S0tlpeaBNtmtbVjcEgOhBE+/3g92P6fGiv17o1etEeD2ZDA8rtAsOBf/ESK9DU0IhZV4+ubyBYX4dZW4+uqSFQVYVZVYVZnZknzYMbN0UW8iVUlHWO/T3G9NOahXZ01Rr0K3ehZ7/XsY/fvQ9q4Cj05nWwdB7kFKD2Osq+xQKghFCQxeZb4JeOnZyIMQsYC8wl9P+heg/EuPRezOvPTBhsEK2w7EfMs/fDuPyfsOPOkapFQw5D95kEC56AFe/HnIiODRVJkKKZZpWKMrQWXwvtKAvycvDWxwSFWvg6NHgThIry8yEvDxpDP+cJghBmomO30JLMMBKsS+L/SxXY3mN6JWDXWvqLJyOhotwi9PD94OeP0zqnrGALOKqSctTEvazqXw6nFdhz2O4bDlT4vjKsSLVSoZ8pFdovdHM6wXBG7ivDtq1N1P5G6K5h/S7l84I2MXbeB9V3UNRuOuDHfOM++ODJjv4KiWzSQnvMlrj69WXId5/HDh+FVXVTCCGEEEIIIYTYbhIqEqLrakrJOLp3T+c8UsYoL6PXw/eSN2mPZmEiHQwSmDML/wfv4PvgbfSmDe374H4f5tJFmEsXxV2tupWEQkdDMfr2w+hViVHR0/rYsxcqv6B952N/7PDXQikwABxtb3ax/z6t2qwpyBQKL+lAAB0Igt+P9vmsZb/fCi/5fGivD+3xoD2hIFNjqFpTYyNmfQO6vt6q3FRXj66tJVhbh1lbh7l1K2ZNLebWmjaVgE9WYN36yEJefuINRWbZdQrGGVejikqihnVjHfrtx9AfPgOB+G1w2sWAkRhHnY/aYefIY/s86K/+i8pt+j7cDOwCmMCpwElAX+Br4CJarLchOkgVVnu0B4EDAdSwsRgX3oF567kQyNBKMKkQ8GFeexrs8yuM0/6McuUAoHJLYeL56GFHwg9PwpqZgAZHTtOuWmswk6jqkjVi3hmYGVqwwFtvnYiNE9zJz81hc2yoqAVbW6gG6ajoQXDFcmshQUhItyG4pRK8g9PJtD+L2jFD29x1hFXz0Gt/QvUeAYA64A9oCRV1vGDk/ZUaPALnNQ+mcTLbprVGL/gc/dgV4IvfblGINrO/nrTyd9+CA/ejz+P3xw6/ggSKhBBCCCGEEEK0IwkVCdF1rQ3fcY8cYV2BGcjck2jdr72abqedgnJGt5gwN67H+/zTeF9/Cb0hfWXn9dZqglurCS6YF3e9Ki1HlZdbQaPyClS3bqiSMozSMlRJKaqg0Gq7VlSMyssDl9u6EtdQ1skxDeTmxGt7lBZNQabQ1cDK5erwx4wKMmltVWEyTSvMFAigA4FQNSY/NFVk8qH9PrTPb4WcfL5IyMnntSoxNTSg6+ox6xtwVvaKfI6uHOjVH+q2QkNtSkJNWc1wQn4B5BdCru1jTi7k5oM7F9w5kJMHrhyUO9da584BlxucOeB2g9OFcrrA6baeF52u0BXuzqgr3Zuucne5re1ttBlE/+9V9Ov3Q+3mjvucew7EOP4K1PCdm61S7lzU3lFVih4CwuVv7g/dRPotBQ7GOnlzOIAasyfqd9eh77ksc6vBpMqnr2F++Q7q4jtRo3aPVC0q7g+7X4neugwWvgh1a9I7T9F5aA2eeshrXhGyMC8XaH2lxUafD18ggDtOi12jvLwpVKS2p2VTzHNE4iJGbX0uaXPMPCvpmU+jjvq7tdCtN3QfBJuWpndSmc7Tdapp6ZoqzMeugEXZ2XpcpEAL7THjce8whD6P3IuRlxu76vh2nZcQQgghhBBCiKwnoSIhuq6PgSDgcPWppNeDd1P74qsEN2/GM/s78GdGhYTc3Xel978ewFFWFjVuVm3C89DdeF99HnwdWEGknegtVegtVZiLFm7fgZwuVG4u5OaCMlBuN7jdVtjI7baWXW5UjhW0sNbnhPbJQ+XkoHLzou67p02PnuvKn6yAhssNrsjHcKWIdIkKMgE4nR1+qszxjzeb7kfazJmhNnNBCAZD1ZpC94MBq0JGMGhVKQlaQScCPnTAD35faNlrtVQI3bTPA75G8Hqsq569jda68HHM8HFCxwwfK+i3woSB8EefdbMHoAwjFMixvgfIyY+Ec+zBnHBoxxW6uUMhNqc79D1gBXZwuqz7DqcVxgmHdQwj+mO47YTTGWljYRjWTTki7SbCIYEW2sGkkv7xS8wX74A18auStQulUIefjTHt9NbusRa4peMmJLZTEDgCeIrQSRxjj4Mxa7egH78hrRPLCD4P+oaz0MPGYvz+eujRNxIu6jYQdvlj9PZSmSXr6YatqDihopLC5KtGbm1ooKK4uNm4UWp7X5rg9Sth+7O2vHtJJlNkf9zO8dLadfz8Mbp2I6qoAqUUesqF8Ox56Z5VZtu0pOmu1tp6n6utds7WR/t9M3rc2im8d6gVtO29uTZD783NyGtD7Pahu5H1prVsWMFzDAd681r0e4/Dkrkd+7UQIplKRQ4Hve++FSP6te1ZrAqmrS/LJ4QQQgghhBBCtIKEioToutYDjwBnAhQefgiFhx8CgH/5Staecia++T+kcXrbr+cDd1F45PSosIH2efE+8ziNj94HdXVpnF2aBPzoOj/U1QLt1O+ooAD3PpOt4337PuZDl8XfToXCKTl54M6zPjbdz0fl5FqBFZcbXLmhEIrb2icUTFHhcfs2TfdzQoEVK9SyXVf+d4BImzlHqM2cE5Io0JTK83r2liudJazT2el1yzBfugPmf96xD2Q4Uaf+HWPnqfHWvgv0AXayjc0FTsPW8lJ0SiZwClAOTAUwph6PubUK/UrnbuXSZfwyF/PCQ2GXAzFOvhxV1iP+dpna1mu7xbxjMBzxN8sEtZugvE+z4dLiwugqELDNShB1jZ64oSJVVrrNYyR+9bWHflr5Gp3MS3nUfOQ9QFLMIHr2y6j9zgJA9R+HNtxgdv4LGLosexDU24h5SetaMQuRkWyvUbEtNB09Kqj408UUHXkYdW+8g+nxkrfzePsmRwCvpWSeQgghhBBCCCGyjoSKhOjaLsE6+TzJPuga0I8+rz3HupPPovHzL9Izs+3g2mEofV59DmdF96hx//8+oeHmazBXLkvPxLJBSye3tAneBusWb3UrDp9UCMrhjFTNsQePXKGgUui+cuXYAkpWhR2rFVZoX0eomo7ThXK4Ii2xnOEqPPbHyOm0oaZkZEqQSPtDlZeC4SpMftvNZ/to3dfNxm3bBv1NVaOsCk+hClLeRti8zqpMlIJWVcbpN6DGH5Bo9eVYVYlOBH4EPiTS8kx0fj7gaKz/t10AjGPPwazZgv7ghbROLKPMeh9z1vswfh+MEy+BXv2bnvO0GYBNHVhlrCuLfX7LkNeJuBK0rexWmB/n8275eb+mMf57HqOsPHKEBNUkEr4Wt/CQiaobqdgwVEt0G0JLXVFuEYyehhq+L9RuRL99K3i384ID5YD570A4VGQ40PudCR/e0w4TFtsmLUNFlrM/Z4eey1VODqVn/5byi/6Ao9Cqwtft10fH7vkEEigSQgghhBBCCNGBJFQkRNdWA0wGzgamA72AkQCO4mIq//04a086nYaPPk3jFJPT7Xdn0P0vV6AckSvozS2babj5GvzvvJ7GmWWwznpFezBg3Tz1LW6WVEeQZB7f4bTCSjEtwZrCTe5QS7hwOMnptN132T66osaU0w2u0JjDtt7lit7fcIRuBhgOlKN9X7K1aUbCNeGvdcBvjdnvB0LrbNvq2P2CgVALONvHcCDI9lEHvJH2b+F1cbZrCv6kIOSTMq4cjPPuRQ2NuqJ4E3AxsBvwKDAnNH5rimcn2k8dcAjwGTACQJ16JbpmM8z6IK0TyzhzPsWc8yn0Hojjtv8AoAwn5tKuF6ZOjSwKFdVviTtcmJfb/PPexstMnccTd9zoVmI7RqIgUDt+jZMJOsc5KZ0xDCcM3QM16mAYNsl6TxU2fF+oWW+1jI1qjRW+hdqzOly2tqz2Nq5OVJwKXmrnY9ESKhJCtLe8QqvltRm0npN6DEANHBVZrzVFh0+j4q9X4B7Yv6UjbcD6fUIIIYQQQgghhOgwEioSouvzAneGbgCHAc8DeSonh4o7bmL5hEmQ4CrqzsI5ZBCVzzyGe/CgqHHfZx/ScM0V6KpNaZpZFsiWK9qTFQxAsA48ia96b8upuu06vadUqP2aEbo5bfcdVsl8w2FVXXI4bcGfOOEg3bmfEzKNOvlvsYEigA+wrix+IvUzEh1oE3AQsBxAGQbGH27APGXX9M4qU61dhm6sR+UVWMt1G9I6nU4rttJNIJCeeaRCfXXcYcMwKMzPJyqqvI3QTW1j/FCRKioChwOCwYSvp61qfxazlWkmmk8S78+ctl/xzQz5f+65A2rMITBqKiq/JO4mypUD5S2eeG8T5XCidz0evn623Y8tRKewx69QE6aiF34NHz1rhfvFthWWWNVxfY3QUGNddNKjv/V7lmlCWS9Uz4FQvxW9fhlq/IHQrTuqrBKGjI+qiqu9jaicvKjDFx16EEWHHhT7qNVALdDPNnYS1ntPIYQQQgghhBCiw0ioSIjM8wYwFatKAq4+lbgGD8K/aHF6Z9WC7jdcQ7ffnhT9hzW/j8Z/3IT32cfTN7Fs0VkrFYnmtAYdAMkDdSlq4hSMiVPirfo61XMRKbMCuBm4FEC5c2Hn/eGbj9I7q0xlry7ij9+uKuupmAosmXzSOEGoCKCoICZUtK1DJahUhFKobiXozVWQIAhkJKou1MLbLp0oemwk8/4sQyoVufNh9MGo8dNRPXeIu4nWZnKt4dpI7XocWkJFHUMubkivQ3+HcdBvrcpqI3ZDH/o7zHv/AL/MTvfM0sOVA72HQE4eqqgMeg+1xqvXozcsh/XLUBOmovY+FtUjOsSofR7r/V4bxAaK4ggA9wLXAJuBIVh/8/kB+KRNDyqEEEIIIYQQQiRBQkVCZKYf7QtmfTKnT1LHPWYUlf/+F86K7lHjgR/n0/D3PxH8aUGaZpZlov6Yn75pCJGRcgtQx1wUOzoHeBj4Z+onJFLoVuA3WK1JcVx0J3rZj1Zlk5w88HvR65aj33sefsrSk3ftxR64CAbTN4/OLDbgYmbw1yngA58H4pzcLczPs07NtlKi9mcARkkJwc1VbagGmnh7nSgElEzYwv5/G6edV6fXYwhq4tFWVSJ3frPVWmvrBP83r8PHT6ADPijrAzvsbrUTcuZYGyoVqdCllPV+N+CDoA98Xuuj3wd+r3XzNVjtWb2NVrBgzGSMfU+y9i+sgJ47wPqFKfoiZBH796uEilLrgBMigaIQ5XCiDjgJnUmhIncuatQ+UNEPisqgsdaq3lq3BVw56Ko1UL0Btc+xqAkHoVzubR8zjrYGilrhTeCPwE+2scXI7xFCCCGEEEIIIVJIQkVCZB4ncEd4IbBhI8G169I4nfh63H0bRTOOjvojpm6op/Gf/8D773/JScFUirpiXv6YL0R7Ugf/FlXSI7zoA3YCFqVvRiKFNmJdRf4pUAKgBu4YtYEaNBL2mIZeuQjzuTvhW7nYvE3slUoypd1Th8vskne6YWvcE7xFBfmwtfXHCZomXr+fHJer2TqVHwq8tNBO1FAKMzYo1ML7roSFhZKpxhPsoqGinjug9j0DNWxS3NXaU49e8Am880/YGtPmcPNq+PKl9p3P6p/RoyejyipRSqEnnwPPnNe+jyFifn7k95BUUTOuQE06Kup38SZd8XVUKRg4BjV0HBSWgtMNeUWo/GIYPBaVV5iqmfiwnuWdgCO07CLyzf06sCa0fiYwHauV2ZXAF8AsYFhoWy9wBba/7QghhBBCCCGEEOkioSIhMs9twEnhhZonO1epfvdOO1L54tM4u5dHjftnfkrDdVdhrlmVppllMWl/JkSHUBOmYBx0in3oESRQlG2+B44APm5pI9VvKI4/3o35zB3oNx5LycQyiv2kaFc8GSraX8NWKOnZbLgwPx+2NiZ1qEafL26oyCgpse4k2WKspc3bp1KRLaSRgtZg7WL8r1AHX4wyov88obUJqxei370ffp6Z2jlpE/3Vq6hpvwdA9RuHdrozu3VgOkR9v8rvIR1u1D4YJ1yNKixpGtJ+D8plC2FuXpOGiSWpvNKqKFbSAzVuMmrkJFRp8+f8NmrAip82AvNC94cBo4Di0DaPAtcCdwKHA0uBG4CnQvsZQDlQBQwAJmMFhubGPNYjMcsTgF2xfimfhxVQF0IIIYQQQggh0k5CRUJklp7AOeGFxplfsfn2u9M4nWgVt99A8QnHo2xtSszaGhpvvx7fay+kcWZZLqr9mfwxX4h20WsQxhk3xo6uT8dURNp9AlQCfwK6AR7gv0ApVgh4//CGxv9diFm3Ff3xy+mYZ9dlf+0Kygl/ATTWxR3OzXVjne9tIcATo87joaSgoNm4Y9Bg1HffoQqSrYCRXAgpWTpoC9apLlCpaNTBGIdcFjWkfR70nLfhv/eApzZNEwNm/Qc95QyU04UyHOi9ToeP70vffDKRlvZnHS63EMZPxph6KpT3ia4U3FiDfuXPMP1qVKHVklxvTOIin6IyK2iX4Dm3XSkDtdvhqCkno3r0T3bvWuAdYB3W30vqgJ+x3puPBfpgNce8FLgH8Mc5Ri6wN7AZCPeHmw5UAJuIfnI3iQSClmK1PW6NOuDDVm4rhBBCCCGEEEKkjISKhMgs/bCuigOg+oFHwZf+k2vOQQPo++pzOCt7R437P/uI+r//Cb1pQ4I9RWpIpSIh2pUrF+OMm+Kt+TbVUxGdxlrg3Djjj2Fd+f46MBBA/fZK9MqFsHh+6mbX1dlPREsVkQS6SMWa9uKtjztckJ9PU/+zVoaKtjY00Le8vNm4c4fhFF52RYv7Nmt91kz0+y7DSPA+zEyiXZ3Z2dqfKTAMay6GM/LRnQejpqL2Pq1pS20G0R88Cu+39vx7B6vfAt9/COMPAkCNOwwtoaL2Zft+VU436tTrafq5UDEfWzNuOEI3A2U4rGpdyrC+B5UBhgJTW23XTNMKNWmNNoPWshmMzCm8n+Gwjq0MVPg4oeWmY6JsYypya3ru1dZN68hzj44dC98n0hZOhY9tv68i84v9WoS3cTghtwDyi8DhitvmTC+dhX7rRqjZAPmlkRVrl1gf3XlQWAL5xRAMoPqPhJ4DweGwKgQN3xVVUBI61vfo/71kVYgr6QkNW9HfvA1rF8f/f09WaU+Mk69DDRnX0lYmVpD7R6wv/AjgG+B94HMg/MIQ+35MASOxwkJrWzi+B3gvzrhUExJCCCGEEEIIkfEkVCREZlmAdZVcd4Dejz9A3X/epOr6W/EvXpKWCZVefB5ll1yAckROaui6Whr+cSO+l/+dljmJGFGVitI3DSEyhZpxCapySOzwk8CbaZiO6PzmA1OAT4HeyunCOO0qzCt/nXRbpexlr1QUr7iAwBFp36W1Bp8njZNJgcaauMPFhclWFYKq2rZVyvH6k/9edDoShICCSbT1C9oCSMUVMHoalPRGFfcEd350EENhfW84c6ybK/TR4bKCFA6XFQByxPzZIFHII3w/FLZQSYSatGmiHz4PFn/T+s81BfSXL6PCoaK8buhBu8LSr9M8qwxSvyVq0ZgwNS3TyKZfgfTmFegP74NfPrMGCsqjflbV+Mmooy5E9R3e6mOqQaNRg0ZHD049FfPJv6C/3s63v0PGYZx2C6qoNHZNEOu/7h3gOeAtoC1XK2msv6MIIYQQQgghhBAiAQkVCZFZGoFTgBexynNTOP1QCg45iJonn2XzHfcQXLsuJRMxKrrT55VnyRm+Q9S4f9ZM6q++BL2+pYsARdrI+Wshts/QcRiTjrCP3IrVSkF+ukRLFgG/xrrCHjVwR9TuB6Fnvp3WSXVJ0v4sPmdOumeQWnXVcYdzcnPJy8ujsbGx1aG9dVviH2tb6r3eVmwVPYdclyv+Vr5tHCs3D2PSFIy9pmKM261pWPUbi+o3thXzSC9tBtFPX9npAkUALPsOvW4xqpcVFlb7nYWWUFH72bIK7alD5SYf+BOtpwNeWLcQ/e3L8MMHkbZzrjzUhKj3rRh7H9tuj2uc9Df04X9Af/0m+u2Hwd+K58Veg1EHnGBVSlIKNXZ/VHSw8XngMqwAkRto25O0EEIIIYQQQgghWk1CRUJknjeB3YGHgF0AlNNJt1NPouj4Y9l80+1U3/dQcm0UklT8m/+j4sZrULYTI9rrpfGeW/E+85hUXuhs4pTDF0K0jTHtdPvibOBKJFAkWudT+4I66mwJFbWGOze6rUugNUGOLOSwh1Wy4CmptirhqtLSUitU1Ep1Hg9bGxrolp+f1BRqGhoSrEn8vis/J0H4q96qluS46DqMfoMwl/0CgDFyPKpnH8jNi9veqLPTWsOqH9HP/hmqVqd7OgnpmS+hjrzUWug5HHKLwRO/GpZIkr8R/epVMO5XVqWspt8T7S3CbFpar3WonVm4tVmonZl9XGtbNS1HpGWavUWaMgDV1BoNbaJ2ilRQ0o01qLzipD5NvWoerPqeSJu0bbUyMyKfY7gtWtPnG6dlGqG2aeHloB/trYfq1bB5JVStiASJAIp7ovY4EXY6CJVTkMynEgTux+ojORv4GLgA6/2uB/gMGA1UhndQJT1QU09FVw7FfPCilv8W0K0Cx5XPJ1rrA84CHreNJXqiFUIIIYQQQgghRDvWXDqqAAAgAElEQVSSUJEQmWkuVrDoOOA6YDCAkZtL97/8ifx99mLtqWeh69v5b3D5+fR54Ulyd5kYdWIj8NMC6q/6I+bihe37eKIDZMGJRiE6Sv8dUSP3sI9cjnUCRIjW2ghUAKg+g9M8lS6ioCh6WdqfxWdvQ5UNL/W+BvA2QE5MEEgZ9OrVizVr1iR1uMVr1zFhSHI/k2s2b4k73lL2pzAvN/6Kulqcf7odx77TACtM1BraNMHvgYatULMJ7amLBCusLSAQsLbxNVo3b4PVHi/gs6qK+L3Wz5UZjD145BgApu2YQb8V6gh/NAPg90HAAwF/6H5ouQMvdGg3c95GH3IOKicfpRR6/9/DWzeme1aZY+nXnbv607C9o0JFyQaKAOg1HP3ylVC/uR0n1gZFPaww0ZjDUK6EFey+BZ7Gaif2C1bC6YTQx38Bsf0YrwZuwwoVeUPbzQVG2TdSo/bGuPUz9Ox34acvIa8Q+gyDLesgtwDVYyBq3AGJ5rQOOAqYmeRnLIQQQgghhBBCiHYgoSIhMpcJ/Bt4GTgduAroBZC//z5U3HQtG865qN0erGDaVHo+cBdGXl7TmA4G8Tx2P54H77ZOIAghRKZyunFc8VTsqCQpRbK+ByJn1HLzwSMX4bcoNjQi7c/iU0a6Z5ByevMaVO+hzcZ79uwZ3qLVx/ph1SpG9utLrtvd4namabK5rp4VGzeyMFFwKSpUFD2H4vw823YK+gzE6D8E46CjUc6Wf3XXAR+s/hmWfItePBtWLgBPXYv7iFby1sOct2H3owBQIw9ES6goa6hdjmtp9f3AvVg/2QorcBPACticD1wEoJw5qPNeR29aCsu+QX/+KDSmoNpVTgH0G4/qPRwG7gx9RqGavx7UAIuxWqlfBnwe50iPbeORttrum1jVihQwCOtrNAVAuXNRe0yHPaYn+5nsAqxKdichhBBCCCGEEEK0DwkVCZH5fMB9wLNYLdGOBiiecTRb7rgH/+Il23d0p5Pejz9A/tTJUdWJgiuWUX/1HwnOm7N9xxcp0PXaZQjR2RhXxW3VMB5YkeKpiK7tn9hCRcb1z2FedHgap9MF5ORFL0ulovjslYqyolQRULUK4oSKevfujcPhIBCMLbaRmC8Q4IWZM3EaDgxDoVAopTBC730NQxEImtR7PJjbbPNre99l27S0sBCn2w0DhmL0GQiFxSgjcRhMb1wOy79HL/8eVv0A65dAEp+TSI7+8mVUOFTkzkMP2QMWS9GUbKB//gQ1YEKi1XcBPyZY90fgRKBHeEB1HwTdB0FJJfqFS9t3onZON2rvM2DnY1DOhGHIdcBfgaeA+g6YhQaWAMcAHwEJv4gt2AKciwSKhBBCCCGEEEKItJJQkRDZYwswA5gHjAQonH4IW+64p80HzN1zN3o/+TCO4ugS8J7nn6LxHzeCp3E7pivSYpsnwoQQzZT0gO6V8dbMT/VURJf3Itb3zSgA1WsA6oSL0U/flt5ZdWaxoSJTQhVx2StTZMtr/ab4mU6n00llZSUrli1N6nD+QBA/wW1vuE0xYW5XDnTvSeUuu2EcOCUqpB9LL5uLfv0fVohIpNbaX9BrFqIqd7CWRx8ioaJsMftFzMUzUcfdiirvH7u2pfB4TxJdvVHW7Djtp6wf6sjrUD2GJNpiKVa7skewKip1tBpgT2BfoA9wPKHKRcBKrFZp64Eq4DOs9mvrsCoeKbImCSuEEEIIIYQQQnReEioSIrsEgZcIhYpyJ45v84F63HsHRcceGXXiw9y4nvq/XU7gi0+3d54ilVo4eSWE2AalME75OyqqCghgXZm9OA0zEl3facBXTUvVm9I3k64gJ7fprpYqLYllYfsztqwFXyO485qtGjZsWNKhog7hzkENH41SikE7jmwWKNLahM1r0J8/Bz98AtXr0zRRAcCiWRAKFak+O0nSIZtUr0Y/eDy6sDvq7OdQrqbXnt8Dt8TZoxD4EqiIe7ylX3fINOk3FnX0jai8qIt+qoCZwP+A97BCO6n+9vUC74buPwa4sUJD23rhlh8zIYQQQgghhBCiE8jCvy4LkfW+CN/Jn7wf7tE7JbWze8woBv40h+Ljjoo68eF75w1qjjtEAkVdnvzdVohkqH2OQQ3fOd6qi1M9F5ExJtoX9My30zWPrsGVE7kf9KVvHp1dVKgoS17rtUavj9/md+DAgeS4c+Ku61AOB6q0tGlRKauNWmFhIZWVVsU7bQbRW9aiF38L375lVSb64nkJFHUCeul3kYXC+FkRkeHqNsHsl+wjl2IFiGL1BwbEDmpPLXrOa+gP723/uQ2dhJpxR2yg6A6gH3A4cCMwm87xIuBj24EiIYQQQgghhBBCdBJSqUiI7PMRsAaoVE4nvZ98mNXTjyOwYuU2d+x+87V0O/lElGGrTlS9hYYbrsb/3n87bsaiY0mlIiHaTI0/MN7whcCrKZ6KyBw/2ReMS+/D/MuJ4JWWonG5I5WKpPVZC6Lan6VvGim3Yj70ax6gdzqdjB4zhq9XrgRtok0TzNBHdORrpEP/aPsN0GbcdTp83wxCIGjddzpRBYUYZWUYpaUoR7PKduw0fBiqaiW6eh1Ub4j+Xl7zc7t/WUQbLYuEipRhoAft2nEVZ0Snpb98BiYciXLnA3QHzsEK7NgtBJZjCxaZt+wPgQ4Kv46bjjr4ElTkud4DnITVVlUIIYQQQgghhBBiu0ioSIjs4wV+g1V+3HD1qaTvGy+y+qj/w78ofqce1w5D6fPi0zh794oa9336AQ3XXonetLHDJy1SRGfTmUYh2oG3Pt7o+2040hSstlfvA49itYQQ2ekj4DZC1a5U/2EYv78e8x8XyXN0PDkSKmoVIwsrFQFsWAYNNZBf3GzV6LFjmf/DD3i93tTPK0TXbKRYexnpKYMlq+KuZ+uGNMxMxNVQg167CNV7qLU88kAJFWWjxmr45iXY86TwyCXAfUCNbasAcB3wYNNI3zGw7Jv2n8/oaRjTLrOP1AKHAVJCWAghhBBCCCGEEO1C2p8JkZ0+wLqiEgBn7170ff0F3CNHNNuw/Oor6P/Ze1GBIl1XS/1fL6X+gjMlUCSEyFpqj+moMfvGDj8BzE/yULnAc8AM4CHg+tB4N6Bse+Youqw/YgWLAFC7TEad/hcwmlc4yXr2SkVBCRUlZq9UlEWhIq3RS2ZHlms2WtWEALfbze67756GKWl0Yy165Q+oqtXst9NAnM4EP9uLv03t5MS22asV9RubxomIdNJfP4P2NoQXy4Bz42wWHeop6tH+E+k9AhUdKFoNTGr22EIIIYQQQgghhBDbQUJFQmSvfwJnEbpc3dG9nMrnnsAoLQHA2a8v/Wd9Rum5Z6NsV7f7v/6CmhmH4PvPS+mYs+gI0v1MiOSN2hvjN3+Jt2ZtG442Bii1LV8GbACqgSrgKaS6ZDa6DGjqLWrsfxTGH+8CV04ap9QJuW1fD9Ofvnl0dtlaqQhgyRzweaz7QT/8PBNdswldX80O/SsZ3K8S7fehg350MBC6BSM3034zo2/atEJCMbdYWmvrMbauh+Xfw7pFEPCy97gd6VVe2mx7wKqwtHxeB35hRFvopZFQEd16Jd5QZLbGGvjmefvIxVhhcLuFQFMJMjVgQvvOQTlQ0y5HOVzhkQ3AvsD37ftAQgghhBBCCCGEyHZygkqI7PYgUIdVWcPh7NWTsksuILhxE2WXXYRyRK6a1o2NNN51E97nn8quK9yzjfzXCtGcw4k69EzULgeBMwf8XlRF30Rb/xq4PMlHGB1nrMJ2/wRgHnBzkscVXVsQ6/vpLayqA6hxe2P84QbMOy+W1+Iwe6hIKhUlZth+7cu2752AD71wJmrU/tby1vXWLWTf4iD1DatZt7m63R5SKwc4XVZ1sYAfgr6o9QrFXmN3ZMTAhK8l6B8+BTPYbnMS7WTJnKa7ynCi+4yC1ckWKBSZQH/9b5h4DCq3EKxw+N3AyUR+o9LAVcBjAIw6CGY+BVXL2mcCO+6P6jnMPnIcEL+fuRBCCCGEEEIIIcR2kEpFQohngD+HF0rOOJXyP10SFSgKzP2Wml8fhve5J7PvRFQ2UFKqSIiWqFOvxZh2Gqp7X1RJRUuBIrBdkW5jAM8CK7FO+LRmn1jx9hOZrxaYCrwcHlC7Hog66VJ57g5zSaWiVlG29lrZ+F5u0TdQuznuKqfTwbQ9J9C/Z/f2ezwdBL8HvPXNAkWFebkcOmkiOw5qIVC0YRmskKBKp1S7Cb1pZWR59MHpm4tIL08t+qun7SMnAafGbPUU8DOAUgZqwpHt9vBq+H72xWeAT9rt4EIIIYQQQgghhBA2EioSQgDcASyKHdQ+Lw133kTtaTMwVy5L/axEGmThiUYhEjEcqJP/hjFxSmu2rgOWY1WWiTUlNN4XeA5wx6x/Hys8AoD56YuYz96A+e8b7dsMTWLmIrM0ADOAd8MDxsEnoA46IX0z6kycth8n00zfPDo7e/uzbAwVmUH07DcTfu4up5ODdh/PbjsNw2kL1renHJeLiSOGcOzkPamsKEu8oacevnm9Q+Yg2slSW7WiARPTOBGRdjOfRq+cax+5hehqkwHg1qalMYdAkX31dqgcaV96rn0OKoQQQgghhBBCCNGctD8TQgB4gWOA7+yDNSccgbl4YXpmJIQQaaZmXIqx+2H2oXlYbSx+DRwfs3lh6HZbaL39zHXPmG1nAE/alotCNwD0l2/A0u9hyDj7PlKCJbsFgGOBz4AxAMZvLsUsLkW/cC/oDArTGE6o6A0VfaB7byjrgSqpgOIyVFEJFBRDXiHk5oErB5WbH9nXmZP4uNlOZXmoCGDzavT8j1Gj94+7WinF2GGDGNavknmLlrFwxRo8vu176s1xuejdvZTBlT0Z2LsHTuc2AkvBAPrLl61gkei09KJvULtMtxZK+qR3MiK9dBD96tVw5rOonHyAMuB54BCgMbTV88DtQJFy56POeRXz8dNg7U9tf9ycQlRx1NvL79t+MCGEEEIIIYQQQoiWSahICBE2F7gbODc84Bg0REJF2UBa6IhsMH4yqrwSggFw5aBn/idhKxwANfUUjH2OsQ99DByN1dbimHj7hBwH3Ed0C4rZMdvcSSRUNAx4O/rBrZ9JVdHPPrqkhccU2aEGOBz4hlAVBOOIM+CIMwieMC41waIdJ6L2Pxq9ZQMsXwhLf4D1KxJXCCoug+6V0Ls/dK9EdesOJeVQVIoqKIb8QsjNB3cuOF3gcAAK1ebXpSwNy7SGPVSUzV+nX75CF5WhBo5NuEl+bg67jxrOriOHsam6hg1btlLb4MHnDwCgtcYMBbNM00RrjQYMpchxu8jLcVNSWEBZcSGlxYWt/34OBtAzX4LNq7fzkxQdbvE3TXeV4UD3HQ2rJNORteo2oT95ADX1wvDIfliVg44ATKzX7xextUYzTnkE84ZJbX/MiiH2pWpgWdsPJoQQQgghhBBCCNEyCRUJIezOB0Zj/SGUvLPPx//+W2mdkEixbK1eIDLbgJE4zrw5euzIczFf+gf6/Sejx7t1xzj7dtTAneyjXwInAK8Be8UeXvt9KFdUR7NxRIeKFsTsUop1Jfu+wKNASdOxVvwEK360FnoOsO8jCU8BsAKYRMz3g/Hgp5jnTAFvY/y92oM7F+PKR1BGdPdkHX7d0BqashOhYFwKQ6vaDKDnS8uohKRSUcSct9Eo1MAxLW5mGAY9ykroUVbS4nbtwteInvkyVK3s+McS26+2Cr1xBaqiv7U8apqEirLd7JfQvUegRk8LjxyOVZny2dDyB9hCRQCMnAI/vNe2xyssty+twUqLKuAArPeXnwMfYlU6FEIIIYQQQgghhNguEioSQthp4HfAD4ByDB6Gc8IuBL6dleZpiQ4llYpEhlM9+scdN46+AL3boZh3nAkNNdbYSX8hJlAEsBirOkzv8ICu3oj+9EX0krmw5HvUjEswJh0RXn0i8CCRthdgnVSyt0zbhC2CAWC+/Rj6vw9BwGq3o3oNsq/ejh4ZIsP8AuyOFXYDQBUUo2ach37ipo571EEjmwWKwBYcaufXEm0GwVsLnq3gqQVPTdNNe2pC60IfvbVQuwEaElcfy3oSKorQGr79L9pThxqxZ7png960Cmb9Bxpr0j0VkYzl8yAUKlK9R2Rz/S8BgEa/eQPkl6CG7BEevAqr9VkQmBm7h/Grv2K2NVRUu96+NAIr9H40cIFtfAVwMVaVJCGEEEIIIYQQQog2k1CRECLWT8B7wFQA9yFHSqgoq8gpEZGBKocmXKX6DsP468uwcDbm/16B5oEisKoUNTG/eRf975ugvrppTM/7FCKhop2Bx4Bfh5bHEh0oAlugSHsa0E9eg/425sRSeS/70qKEn4TIRl8BhwJvhgfU1OPR334M87/qmEc0g1GLOuBFOXNatav21kFjdSQE1LgVvLVoz9ZQUCg6NISnBnz1yGtSO4oKFaWgVV5X8MOn6E0rUBMOgfzi1D++rxH9w+ew9FsJenVBes3CyAt5SZ90TkV0FjqIfv8uGLwbynrO3RGrtfg/SNTGtvcIWNuG3PiaH9GblqG6DwQwgI9o/ve9/sALwG+x3pcKIYQQQgghhBBCtImEioQQ8TxJKFTkmjINrrtSTnYIIbqmgaNQU09ucRNVVAoTD8Qx8cAWt9N+L/q/D6HfjnNeZt4nmDNfx9jj8PDIDOBSrEBRwivE9cqfMR++HDasaL4yp8C+tKXFyYls9F+gAPgR6K8MA+PsazH/chJUrWv/RwvGhIoemIZ25kF+CTjc1i0cAgr6IeAFX4MVIjKl+0raRVWZkvd0TTYsQ7//CIzYEzVkIjhS8OtxYx16yWxY/K31cyK6pjU/R+7n5KdvHiI18ktg+H6oisHoRV/Aki/jb7d5Bcx/ByJt0K4GHgeqgT2IrVi0ZXXb5qNN9Fs3wwl3oQwntPy3vbuBd4E2PpgQQgghhBBCCCGynYSKhBDxvIZ1xkkZRcUY/QZgrliW5imJDiPtz0QGMw49w96yaRVwCvAwMBBYDvQCWiy3ohd+g17wBfqrN2HrpsTbPfV39Mg9UN26h4e+BroDjqZtvvsIPecDKCpDV62B+Z83tTtrJvpkc0H8jUSWawB+hVW5yK3KemJc/RjmDWfDuuXt+0gxlYrAAF+ddROdn7Q/SyzghfkfoRd+BQNHQ9+RqJKe7fsYDTXo9Utg9c+wcZn8H3R15X1R46fZBuS9dMYqKENNuRCG74syrLdzauLRAJgf3w/fvAj+xqhd9Af3wLC9UbmFAKXAecA12NqWNvHUtn1uq+aiX7gUDrsKVVAaefzqNejnL0GddB8qrxtY7yHPxmrHJoQQQgghhBBCCJE0CRUJIeKpBZYBgwAcg4ZKqChbyEkukUmcLthxd/tIPfCKNs3ZyjAGAgOA/YA+wPnArnGPM2QcLJzdYqAIADOI/vBZ1JHnhkeazkrrxjrMhy6HH2fG3zeeqnX21m2Je7iJbPcdcAFwH4Cq6IPxtycwrz8LlrehpUoiPfs23dV+D5gJwnCic1KOyH1pfxafrwEWfgULv0IXlkH3/lDaCwpKwJ2HcoXzpypU+Sn0USnr66tN8HvQvkZoqIHaKqjZBJtXWcuia3K6oe+OMGA0asAY62NhWfQ22VSNrawf9BuH6jUCvWkJzH4p3TPqUGri0agdD4i7ztjvbPS4X6Gf/gPUrI+saKyGnz+GsYeFR87FChVF0Svnbv8El3yFfvQUmHAUlPRGV62AOa9AQzV89zrscWJ4y122/8GEEEIIIYQQQgiRrSRUJIRI5DtCoSLX3gfg/+T9NE9HCCGSFAxA9UYo7x0eGQ6g//vQSKacZKqcfAO4BxgPvAD8BbiMmPdHyuFEHXYWwZn/gc0tt5XSHzyF2X8ExsQpkTG/D/ORP0HAh9rrKPDUoX/4cpsnmfXaxajRe4UXJ7bysxbZ6Z+AC7gTrJZ+xp8fxrzlHFj4Xfs8Qp/Bkfv12wjYic5HKhUlp26zdVsWGZKvWhv1GIiafjFsXoN+9eY4Vc86maJyGDAGNWA0DBgDfUagnK6Em2ttol/7a+rml2rlA6H/OFT/8VaYqKipGiMKMKtWwLJZaZteR9PVa1usQ6VKeqP+8DL6xw+hdqM1WNYXNXSSfbMyrPeWAawqllaIPfyzsONk1O4nQFEP9Ad3wYJ3k5tk3Sb0pw9GlofsgRp7OAzd076VvHALIYQQQgghhBCizSRUJIRI5DXgSAD3YUfg+ffjmIsWpnlKosNJKzSRSbTGfPE2jDNutrdAwzjsrB62rUYBhwGvAn8G7gdmAIOxWqQdEt5QDZtotUBrSTCAfvhygp+9hBq5h3XyPrcA44QrUaWRdjraDMKaJVC1Gl29ATavR6/6GZYtaAob6aXf2488FSjCqiQnRDx3AVXAvwCHKijGuOIBzHsvh28+2u6Dq579Iwt1G7f7eCLF7K/vUqlIpIoyUP93Lar3MAD00jkw5+00T8rGcECvIVEhIlVW2apddcAHVSvQ794Oq9qh4kynoKBiMPQfj+o/zgoR2dpqxd1j6J7oDA4VMe9NOPQK+8jxWHHDqNKTiaoZhbyBFSjaH3tVzFXfo465CTWsKUCOmv4XzOKesO5nWDqL5OKMCnXQxagJR8au0MDdSRxICCGEEEIIIYQQIoqEioQQiTwHXAf0Ue4cCq67g9qTjwFPY7rnJdpbVMUCCRWJDPPdR5g3n4La91hUeSV6/XL0h0+jDjvbXk3oD1ihIoBVwG22IzwFnABA3x1gW6GisJ9nodctw/jttagddm62WhkO6DsM+g5r9lOnV/6Mfucx9IIv0N5GVE4eQClwFnBr6yYgstTTQB2h72eVk4fjojsxn70D/eYT21UhREUqfkmoqCuKqlSUvmmILDPuoKZAEYAauQ86naGivCLoP6qpjRn9dkLl5G9zN601eOtg41IrQLPgHdiyOgUT7mDKgB5DbSGisai8bq3Zcz3hFq8DMr2QokZvXIqqGBQeuBirlZiBFUb/M+BOsPMyrEqC92D9knVz1NrRB6OKezbbydjvbOuR6zejHz0V6lpXZEhNOT9eoAjgDOCrVh1ECCGEEEIIIYQQIg4JFQkhEvEApwFvAziHjaDw1vuoO/90CHbytgUiOdIGRWS65QvQTyyIPo/+/WcQCRUdiBUcejrO3l+F1qEGjmr9ufidJmGccg2qsMQ+GgC+waqC1CPufoDqNxx1+o3ohbOhej30HBheNa61Dy+y2mvAKcDj4QHj+AvRO0/GvP/PsHZZ245aEml5Q72Eiroce3UiqUooUsHhQk09M3qs746pnUP3fqEqRGNg4BhUz8Hb3odQNcHajeg1P8Ivn8LPH0PA17FzTbWdj0HtfToqt2hbW2pgHvBJ6PYpVjuvnwFUjyHo/BJoqO7I2aaVnv82av/fhRfXhIeBv2MFhg4DRgIFWOGhrcD/gHeBIFbly0eBqJR5vEBR1PqCMjj5IfRTv4OtLbffZfcTUTsfax/ZEprDjaGPQgghhBBCCCGEEG0moSIhREveAf4BXADg2nMf8q+6noa/XS5BlExi/7+UE40iWzRv//MU8DpQEzM+releUQmtoaaegnHkubHDzwCXYJ2MMrBOPo0C+gF9gSHA7kB503F2aHb1/5rYASES+BewAngS6AOgho3BuOF59L/vQr/zdPKv44WR6hW6lVUTRCcS9fou7+FECuz6q2atxFRZJbq0N2xZ2z6PUVACgyegKoej1y2Cmo3RrcwKtv26rbUGvwc2r0Qvnw0/vA/rfmqf+XVaCjX5PKtqYnMmMIdIiOgzrICKXRWwmtDrC/0nwE8fdths0y7oty/FvoHcgvVaG88OoXW7JlgfdiNWxaMHgd/aV6jiHnD8nehnzoOa9fH3HjARIxJ6ApiFFZiPfU8rhBBCCCGEEEII0SYSKhJCbMsfsU54HwOQM/0YzBXL8Dz6z/TOSnQQCRWJ7KDnfYZuqEHlF9uHH8SqShQux1YKNJUz0isXtnxQpVAzLsXY9zj7aCNwLtYV6uEz+SYwP3SLOgJW0OhaYHrMujqsq+GFaK2PgNFY4eDfACh3Luo3l6J3mYz5wFWwYVXrj5ZnaxEklYq6Hml1KlJMDR4ff8XgCTC7la1EY+V3s0JEgyfAkImoXkMij9fKQ2htQv0W9PpfYPEXsOA98GRb9kJDwxYobKpA9zNWlbtPsKrabN32AfgQOAlADZiIzuBQkSqp3PZG8d3CtgNF3wJXYb33PB34L1ZFoxLgbABV2hdOvA/92l9h9ffN5zfxaPviYuBQJFAkhBBCCCGEEEKIdiShIiHEtgSBk7Fa9ewDkHvWefg//5jgwh/TOjHRTqIqFaVvGkKklKcO897zcVzymH10BtYV5+HLvS/B9l5Jv3p34uO5cjBOvgY18UD76GLgCJqHhxLRwPfAr4CLgauBYqy2I2dhVZ4RIhlbsF7DX8IKzfUEUDtOxLj5ZfRrD6PfeBz8rWjr43RH7tdKqKjLkaqEItXq4+dS1OAJ6NaGivKKYdA41JCdQxWJhiU9DR3wQfUa9KrvrWo6S79O+hgZacVcGDk5vPQWcFmSR2gKFTFwQvvNqzPpPx41+VxUr+H20UVJHGGHVmxTDORgtcjVWK/XL4XWLcYKJqG69UL95n70jx+i370tut1c94H2410ByIu0EEIIIYQQQggh2pWEioQQrdGAdZL7e6CvcrnJPfNc6v/4+zRPS7SLqOIFcqJRZJEl8wheuA/G+fehBo4Kj54NvI11xf5R4UE950OoStB9zJ2L8bs7UCOiLkb/GjiMtp/YuQ2rMlEhVpsRIbbHf4AvsL6nZkCoatGx56D3Phzz8Rtg3heJ9y6tQNlfH+o2dOhkRUewd+yR13rR8fSGZfG/0waMTrxTbiEMGo8aMtGqaNR7GMowknvcxq2wcSl66dew4F3Y2k6t1jKMXvkdKhIq2qcNh/gofEeV9UcX9YDaVr42KIcVGCsohXiHwe0AACAASURBVPwSyC+FglJUfinkdUNvXALfvkLaWjUWlKEOuRw1dFLsmnrgoSSONBMYsY1thgJfYoXQF8esuxWr4uWdgANA7XgAVAxGP3oqBEOBYHe+fZ9qhBBCCCGEEEKI/2fvvuPbqs4/jn+O5D3jbDt7OTt2FknIXoSEBCgpI6wEAgVKC6WU/rpboC0U6GKvsAkQKAQSMoGEMAIkZCdk772HtyWd3x9Hsq9kyZZt2ZKd5/166RXdc4/uPZ5SfL96HiFCTEJFQohgnQbuAt4HiB44JLyrEaEjLVFEfaIUNEwHexQcDaKwT0Eurn/dhu3eF1BtunlG38OEL+wl87oOhKwRsHap9+PtUdhue8w3ULQAuBLTsqw6Ct03IULhOHAN5nn8v0BzANW8DfbfPIv+7hNcr/0DTh4p+8jWpcUWtLPYtM0RdYsq/XWGdgWeJ+oPezQ0bQvN2kFRAfzwhc9rvhp2bLffYdWkDTqxAeSehrhEaJvtDhH1hYzMYEJERzEVVMtwvfcb2PZFtZZ93ti72rqVDaRScdszqz2YEIzpQddpCOz53iskREIDExRKcIeHEt3341NQKvDXWQGu4nxYP7+yH1X1Ne+CuvwBVFoL3z0bMO1sK+iF6+V3wGAqrljUA3gDGORn31OYFmlPAb0BVOO26F4TYPVssEejkptY51eir6kQQgghhBBCCCFEcCRUJISojJJ+ASohEaJjgmuZIiJbbV5gEqKqbFGQnAbnTkJiCmrIFaj+F0OjDDi8C314N6pJS0hvj4pLBEBvW4XrX7dWfOziAlyv34/t3hmo+CQwr49+YZ2i4hKw3/5PXItfR3/8HBTmm/Hr/4jq5nUN6E1gGqaNhRCRaBawEPgL5gKpqX5wwRhsvQajP3gWPe91cFq+hdMs1+8Lcwhb9QhRdTbLf/tczvCtQ9S8Dv1Ql9wFzTug7KVfd9fHT8CyN2pvHUd3+47kAQkA6orfQGozaNEZZbP7zitzJGAppjLOUuAg5s0OCkDv/Ba9dRnsWA5n/YQihX/Hd6Pzz6DiUwFswBAgyL50JZbgDhXZxt0b0uWpTkPRtRkqio5DDb0F+l/l+z35FfArTDWhyjoMZAFjMRWHvgFuxlSj9P1bXGo5x1kO9ANm4qk2OHgaeuMiKMpD55xAJTXyzB0DSI9yIYQQQgghhBBChFTlaokLIc53cV5bclGqnrBcHJb2ZyICqcE/wvbwfOwPL8D2xHLsj3yC7dKfotLbmxZOrbtiu2A8ql3PkkARgOrUBzVqSnAncTpxvfEg+kT5bVJsY2/A9qf3IKMjtO2BbeBE6+53gKlIoEhEvjPAPUBfzAVTAFRcPLYp92B76F3obemGk5JWer8ot9YWKULIWv1FKhXVa+qyX6FadPYKFAGozAG1t4ioGEhsgHZ6PR2WtPJUPUaiWnULFCg6jqkYeCfQHVNV7XdAMfB7YCOW0pp6wwJTsUUCRZWkYe8a68DwKhzks2ouogDYC6zGBHBKtehezUNXQsPWqKkvoAZM8f2e/AswlKoFijwKgDnAJ5gKlo9jqgVa5WJCvuVxAfcBRQAquQlqyM1mz4aF1nnXVmOtQgghhBBCCCGEEH5JpSIhRGVc4rnj3LcHnBIqqhek/ZmIVAnJ2KY9iOo5tGQoiIoGXtSYG9Cfv+tddcV3zvhbsF16BwCupe+gj+xBjbkB1Sjd//yGzbFNewC9cpF1eBNwIyC/GEVdshYYhvnefQRoAqBadsB+35PobWtxvfM4JEmoqM5zWCpL2qPDtw5R86Jj/Y83bVsz50ttCumdIL0TKsP8S6OW/p6vjwKt/BzhJKYC0VJM5ZtNQBJwFSZMNAIo04uqRGFeNT+A85feuxrVuSRLNKIKh5iNeR7Jcm87MF/no8Axy33f7VOY74W+mDDTECDFemCV1BgdFQuOGu4Cm94FdfW/PBWbPLYDtwCfh/hsrdzHTcKE7BphAkWTgU8DPCYLUylpDNAM63/WOg+Hz55Eb1yEGliSJRqICeNtDPHahRBCCCGEEEIIcR6TUJEQIliNgT95NoqXLg7jUkRIWSsWSKaodrXphuo9GtWqM3rFQvQ3c8K9osiR1gzb3U+jmrUNNOMM8D7wPyADc6HmJPBv6ySV1gz7k9+i1yzF9cKvvSusZfbDduW9qJaZJUO2EVfj/NkA9NrPsf35PVRsvGfXu8B+THUX8zU7vMt6qq9wv3tciDrGBbwCfAj8Dbgd97OB6pSF/Q8zvGcXyQX8Oqk4v/R+YqqpXOSSikW1LiMTlT0O0jtC8w7gKEa/9UfYuyF05zi+FxpmeLaewlT8QaU2RcckVP1n2GaHJq0hozMqIxMyMiE9E5VYXtcmL49gqrF0AL6lNES0AfN7yCMKUxmma1BHrenQSX3mXamoD5AMnKvEEfKB3pjXYGcxr8389ceMBS7ABIiGARcCiX7mldC7VtT81zajG+qa/6BivZbyT+APmApDodQKWAk09RlPxDz//sN98/yAKuAu4DEC/d3O5Q7MH92GPrQZld7Fs+cq4M8hW7kQQgghhBBCCCHOexIqEkIE6y7MuynRebkUzHwlvKsRIaO1tD+rNUpB2+6oPmNRvUehGmWU7svsh17zGRRIFRDsUdh+8qhvoOhjzO+hpkAq5oLjGZ9HXh7okCp7BGrQpeivPjADbbph+/mTqCg/FTvSO8D+LeiPnkZdea9nNBtzkWYq0BBARcVYH9UsuA9OiIh1Cvgp8ALwV2CC31nJzWtxSSJkDq4ruaui49DTn4AX7gzjgs5DCSmoO55HxcR7j4+4Ef3ar0N3nmN7IHOgZysaE1JIAEwo6MDmio8Rn2IqDmV0QqV3go79UQ0q/TRXBPyACQ0twIRzZwXxuFiCDRQB6vIH0E/9CIpDnQGp56JioGl764gdGIz5WlWGxrQws0oABmECRMMx1XMClNByH8TlgENbYO9q9L41sPO7Si6jkpKbon78iDVQ5ACux7SyrQl/pmygyCMW8+adH2E+Z6cxAaP7yj1iclPzdXQUoTd/Zg0VjUFCRUIIIYQQQgghhAghCRUJIYKV7blT8Nar6COHwrkWUWMkVBRySkH7LFSf0ajsUaiG/i/Iq6hoSGogoSJATb4H1ba7degvwIOYSgY7y3no2nKPO+l29MqFUJiHatbGf6AIUF0uQO/fgt61zjrsadlSctVSH9tn/YkZjbl4W1zeGoSoA1Zj2p0OwVQuGmbdqVLTYcKD6PUfwr7v8V+UQkScEzvR25aiOo0AwNaxH67xd8L8p7znNWiGuuK3EJsAh7ahD26FA1vg0DbvSm/Bio6FrLEQm2hasJ09BluW+1SNG2iq3rhcpvLG7nWwf5P3cboMRvW+2FRXzD+HXjnXfzgmuRH0GGmOf/Y4nD5s1h4JElLLBorAVCwKIX1sr/W5KRPYiud1fJM23p83paBhC3frskxTQSm9EyrNf/vPcuzHPAd7buswLaQC9x4NLBfYDHSpaCKAik9Bt+wFu2o4hFJfNOuEypoE3cai4lN89zaq4lFTMYGkYe5bfyr4W5N2FMHBTbBvDXrvGjiwwbuiWg1Tl/wOlVjS2rMYE0yfV4OnLOkzp49uN2Egewwq1ev/BT0xAd+9QOuKDqii4+C6p9DzHoY9q6y7+mNCYtKSVwghhBBCCCGEECEhoSIhRLBOeO4ouz2c6xChJpWKQk/ZoGPv0iBRgyZ+p2mtUdbPud1/yOW80mUAtpHXWEeeB+4P8tG7gOeA2yxjr2KqC6FSG6Mumoqe84xp41JqGyZIcRWA6pCF3r0e2yU/sc7Z7f63pG+M3rXeuj8RcwFoR5BrFSLSfQmMAMYCf8eE+voDqA7DUB2Goc8eQv8wHzbNh5yjpY9s0gmSmsKJHXD2cO2vXPillzwKjduj0sy1ajX8BvS6T71CJmrodajOg8xG26yScIo+tB398j2oC6+C6Bj04R0mbFRB1Rt12X2o/pO81/H9x+hZD5iNzAHYpv/Xe7/LiX58amkYKCYBdcM/vIOgWRehH7zYu4UroKb9E9XSu8iNXrsYPfMP5a6zVpw6hHY6UHaf/4KnZZRUGwmJY3usW5nAMtyhItV5EDo+GeVpv9a8g2/rp4o4MYGf1e7bGkyI6ER5D6qCJQQZKgJQ7fqjJVQUWGwSdB+LypqEat450KyvgPlBHrExMJTSEFE2YCvvAbq4AA5sMAGivavh0KbQfc9XVveLUO36W0dup2YDRWA+ZwDo1R+iWvaEBhno3SuhdW9UWgvr3AoDRR4qoxtMfwVOeP3cK+SdIkIIIYQQQgghhAghCRUJIYJVciEdCRXVL1JkIjRsdujUB9VnDCp7JCrF/5u9tdaQcxbnii8pevN54l+cXRosijrPn5YTU7FNe8A6shH4RSWP8jegF6bFxC+AuZh3fP8RQI28Bv3ZW74XsuzAejyhouyR2LNH+h53hvvfkjITtst+5jsnTFfHhKgxGlgELMZUL/L8fAGgUtJRA26GATejc47Dsa0QHY9q2bv0AIXn4PgOOL4DfWy7CRqd3AMOaVVU6wpz0HN/C1c/j4pJNM891/0d/cgVljn+q+Wp9I6o380p3fYzRy9+AX1kJ5w5Cod3QFE+tPTTxcoTWgJoUTY3omx2dIsupaGi5EZlKsupxFR0bHzZ6n5+qv6orLHo9/5m1hOs2EQYfBUqqSH6m/fh6K7gHxuI0wGnDkHjVl7DymZDN24Nh7dX/xzgGyrKAA6UnKvPeFSf8cEe6SQmMLQGU3Hoffd2bZSTeQa4mQpaZpVo0KLiOeej1r1NVaLOI1DRfj+VuZh2XzOA5QT+X0EGpQGiYUD3APNK6MJc2L8OvW+tO0S02VQiC7ekxqixXi8tFwIv18KZv8dUtcQ27t7S0RY9TJDyzGFIboyylft/gc+Af2Pao92E+RlBKRs0bmedN5eqVQkTQgghhBBCCCGE8Os8v3ophKiEZp47+uyZcK5DhJq1UpG8qbVybFHQub+7ItFIVFIDv9O01nDuDI5vPqd45nOwZ4d1Z2mFqKiYWlh05FKT70GllryRuxC4kcpfvNwHXOgz9ijwMyBNxSehRl+L/mq2dX97TCDoCJbfdRbzgcfd95cBUwBU87bWObsw7V+EqI805iLlPGAicCswAUtlCpXUGJIal3mgik2GFtnQItvrGUafOQQnd8HJ3eiTu+Hk7voTNlK2MhV0Isbp/egvn0aNus9sN8yARq3gxD4A9I6VqNE3Wx9xCAiqF5Yae2tpZSOXC47vQTVtV3ai9bku0AV06zdLoMBtUSW+Vyrbum3I1dguMkXv1OCrcC16Dj59qXLH8Of4vjKhIgCatq1aqKhBM2jWAZq1RzVvD83aQ5MyRU6C+eC3U1p1yPPvfmo/et4QUwFnOHAMaFnRA3TuKfT379X0uuqOpMbQcwIq6xJUWsBP3zeYINE7wDmffQpoi3eIqGNFp9X5Z2DvGhMi2rcGjmwHHWHdt6JiUT/+Byo+1TOSg6luWRvf53/EvD4t0wNR2exoezR6xjR0s06owdNQjdpYp6zEPPcesYx9CcwG/gFY05sHAEtqSQghhBBCCCGEEKL6JFQkhAhWpueOc/++cK5DhJr1wqdkiipmj4IuA0yQKGsEKjHV7zStNZw5heObpRS/8Rwc2O3/eNZQ1/nc/qxhc9SACdaR3wOrQnT0c8BjmCorqNHXoZe+g167FJU1wjPnQUzw6BpgiPsxGzHvYG8LvAH8B/gtpiWU9SK7Bu5G6n6J+s8FfOS+ZWCCf9MJ4oKzL5WaDqnp0O5Cn7DRQTixC71vJWz4KDIqW1SCGvMbVNfx6KI89GePwvalkRcw2jQPfcFNqKTGKKXQw6+H9x8y+/ZsQBcXWquaLMBUxKgUZbOBv0ARoOKS4PbnTIjGX8DGl5/nRu0oNkGhFl1QPUeBPQqdcxLlJ5yrXa5Kt1lSPbyr1akxt6I3LIUjOyt1nDKO76Vs7hVo2qbsmFVMAqR3hIxMVHonU5GpWXtUXFCtyz4FLgM6A6cwlfl8b77BktrSBBNaGe6+9aSCV6M6/6ypgLN3NexdA0e2RV54pbbZ7NDhQlTWROgwCGXzW1X2OPAa8BLm9Y1VPHAFMB7z9ajwB1PnHHeHiNaYr8Px3UT6yyA1/teodK/qaL8A9gSYHmrLMe1E38dU0/TQgFJJjdCZQ+HgD+AdBjsETMI7UOQxBxN8vwzzdfsBeJPw/TwLIYQQQgghhBCinpJQkRAiGFFYQkWuXSFqzyAigzXUoiRV5FdUDHQbiOo9GtVrOCoh2e80rTWcOoHj609NkOjIAb/zfB5lOc/5GypSvUdbL4LtwgR4QulJTPCnqYqJQ426Ftesx7B1yPZUmIoBfgf0xVx01ZiLah8B2e5jXA78ChM6uhfog6nk8CTweYjXK0SkOwg8jKmS0BrTDqev+3YxpW2LdmHatWQDWUA3/FRq8FCpGZCagWo/GJ05Bv3tDDixC/JO1txHEioN26G6mtZSKiYBdfGf0aeno1e9BT8sBFdxmBfopl2w+2vocSkAqmP/0mciRyHsWQ8d+3lGArWfGgFsBgZjfi/GYn4nBkW1y4Z22YH3N2mLTkuH00f8B26LCyA+GXXLE6iEFPOYQAcrrkK3rlOHIKPkpa8JSV14JfqDf1T+WGDaqTVrB50G+N2tmrQt/RqkpUN6J0jvhMpw/9uowoI9/hwC3gY+AXoAqZiWZpGQ/Pg5pkJMxW208k7DvrWlIaJjOyIvqBcuDVubIFGPi1FJftvuakw4egbm9Yxvuq4PJhh6Heb7IyB9+hDsW4Peu8ZUIjpVx4oz9p2M6nGxdeRJSlvb1pavMNUxR2Iq/S0GHsK8PkW1yoLu46yvhw+55x4u55gO4H/umxBCCCGEEEIIIUSNkFCRECIYmbgvKmmHA+euHRVMF3WKtD/zLzoOug9C9RmD6jk0YDUArTX65DGcX35K8ZvPwrHy/u7vh0uD59rB+VypKKODdWsJwbVrqYyzwD8xAQjUqCnoJW/jeuaX2H75PMoeBaYi0afADcAdwE/wfq0UDfwXmAyMASIkISBEWGlMpYc9mPZoHk0xrYy24f3zbMf8rHXDBAo8t65AnPXAKr076vJ/mZM4iyD/DBSccf97tmRb55+GvFMmeJTv/rcwp0Y+2PKoruPKjjVoiRp1H/qCqehVb8PGuSa4EwoNWkKrfqikJuhtS+B48KFvvX8Vyh0qIq25977tK1CloaKWmDZUTXwOMQrYArQABgV52s1AlwpnAWr49ajh16OLCyHHT6CsuADa9ykJFJWruHJVitwrKDtkCRlhs5eGfxo0MxWMtn1X9jHt+2K77emKT9exP+q2ZyG9Iyref3C5HPuBDZjqMxuBTZjPtbVfsQs4UdkD15CulLYULUPnnrRUwFkNx3YRGTmoCBEdB11GobImmhCKf3swFYleAfb67EsDrsWEiXoHOoA+saf067BvLZz1VyinjmjdGzX6LuvIMuCXYVpNLqadqMciPKGi9gOt8zSmQtGWWluZEEIIIYQQQgghRAASKhJCBKPkApBr3+4qXpwREUsqFZWKiYMeQ0zVnB5DUHEJfqdprdHHj+Bctojimc/DyWNVP6f13fbR52moqMsAbBdeZh35vgbO0hbo5dlQ0bGoboPQyz9Cz30WddnPPLuyMa1gyjMMEzx6qQbWKUR9cdR98+UEdrhvcyzjnrBRd2AqphVPCWWPgaQm5ubD3zOXdha5g0anTACp8Jz5tzgf7ShAxaeBowC94nUoyq3SB+i9CDt0vsh31On+uFBJTVHD7kL3uwG2LELnnnCv6Vzp+s4dKX8tcanQqg+qVT8TJkqxhIG6jke/NiX4wNL+1aVLt9nRnS4oDcXsWGmdORATthzvc4Q/uW+V8VNgLeZr3BNTPaene/sYJggx1voAFR1rwju+EtOw3fhIJU9fCX4q4ajWPWDqY9CkDTTM8IRRS7iemg57N5QO2OzBBYoAlZQGSWkVTTsHrMN8DtdSGiQ6U96DIpDXfyRMG63VpgLO3tVwora6UdUx6V1NVaJuY1GxfoPuRZjWWjOAzzBBMg8bpr3cdEwwOs73wbooD374DL3zGxMiyq0D1eGC0aQ9avJD1p/Xg8BVRE4w3E8aETBtd2vi9bAQQgghhBBCCCFEpUmoSAgRjJJ6+q7j1QhPCBGJ4hJNgKjPaOg+GBVT5joL4A4SHT2Ec+kCit96Hs6cCs35XZZrPlExoTlmXdK8Lbapf7GO7ABeC+EZEoG7MK3Nkqw7dGGe+XfhK+g+Y1GtOlfmuIOQUJEQoWQNG30ETMS0SBpABW15/FH2GEhuZm6++7wnor98qirr9da6Hyqx5OVSMZCOWfevgZswLRZRCWnQ++qAdQG1dsGhDabSkidsZLND8x7QpCNK2fw+TiU2Qre7ELYtCW69+afRJ3aiGrU3230vKQ0V7f8BXZDrqdAXg2mvEwqbMe23vnDffDXAtFIbiKmS2SrQgXwDPeWyR0FUbOUqRGn/lXFUt6GBH9OhLxzcZtqcNe9gWrxV3W5Kw0NrgTXusfrQ92snpnpOawD92VOwcVF4VxSp4lNMO6ysSaimHQLNWg+8CLxJ2WpUGcA04GbA7wH0/vXotXNh82dQlBeadUeKxIaoq/6Jiiup/lWICaxGUtmlE5hgoO/z3MwwrEUIIYQQQgghhBDCLwkVCSGCUfJOThV9HoYe6jtrqOV8qVQUn4TqOcwEiboNMpUQ/NBaow8fwLlkHsXvzICzp0O/FmdpVyAVFX1+NfhIbojtly+ikkuqMxQDPwaq27doAqbNWSLmwr5XUkyfPYGe9Sis+sQ9oHG98GtsUx+AjA6o+CTf4/nSeFdYEUKE3lxKW8SkYtpwNXLfGrtvjTBtuZoAzYFmmLZrwf8fx0/oqCpU14utm3MwF4pPALcDDwL3uu/Hl3scZYOMXuVN8XUWSAFQmWNMG7Rg7V8N7lCRapdd+vzjcsLOVVAaoAnm83kc005oLubr0Re4GLgR8zvzXuBQBcc4DfzBsp0IdMQEjDLd2xOAgD2f/FHxyfDgEji+Fw5tRx/cCoe2w+HtcMZfMS38Viqq8Dwjp8FFt6Fs9grnur0ILMaEPg5QGiBaR92rPlQZGlP96iYA1aYvWkJFFgra9Uf1mgiZQ1H+A+dngbcwVYlW4t0fLhq4BFOVaAKmSpEXnXcK1i8wYaITu0P9AUQGZUdddj8qpalnxAVMAb4N36L80pif+2GWMRfmd4MQQgghhBBCCCFERJBQkRAiGLs8d+w9sojqOwDH95H291hRZV6hIv8VEOqFhBRU1nBU7zHQdQAqyn+rMa01+uA+nJ/OofidlyCvuvmWCrhKQ0XnW6UiNfZGa6AI4E5MNYbqSABeBxr67tC5Z9Czn0B/Nx+KCrx3HtuP67Gbzf2sEdiu+z0q2esQLwPbgBaYlhTfVHOdQojgnSH4kIUNSMMEjDwho4aYAFJDTDBlOu62ZDRqC1Fx4Cjwd6zgxKVC+yHWkVd9ZhzABG4ewgQpOrnX4rm1wFIVsgKHMRebFwOfYNqHLQSgzQCITTbVjYKg969CZU02G6UX3s2+HSutVXmaAvMwAQWrNcCf3WvJt4yfArZiQg9Tg1qMf7mUBm08fo/5unbGBI3uxH/IKAdLdTpls0PTdtC0HSqrtMOazj8Hh3fCkR3oIzvh6G5zqzji+3/ALGA7nhZ3sf5bplo8gXn+OI35/HjMquiB9dAnuENFtO0X3pVEipRm0GsCquclqAZ+Wv4ZyzBBovcA37JCmZjfbVMxPyNetHbBzm9NkGjbl+AKVQGyyKSG34pq08c69AvggzAtpyK+fS+3Yar3CSGEEEIIIYQQQkQECRUJIYKxHNgHtFJRUSQ9/SoFLz5JwYynvQMpok7STstFheDfXV83JDVAZY00FYk69w/YLkW7XOgDe3As/gjHuy9DQb7feTUi3nIR0lm/L/BYqUt/im3sDdahl4AXQnDoO/AJFGmnA/3ZTPTi1+HcyfLXNf4WbJfe4Tt8J/B0CNYmhKh5LkqrBG0KMOdxYAOASmuDumMh2lkEBeeg4Iz737Pu9mNn0QVny4xRcBYatERljoWOw027NeMYMD/AeY8BjwTYFw9kY6r8pPnc4jHBmqXARrwTL8eAo0BTZY9GdxwOG+cSlANr0NqFUjaUzYbuMgS2r4AeI1C9Rltn9sG0JmuGaYdWiGnFFY4nLY0JVh0GPsf7eSMaE9hqianeMh64GxO88tvbVMUnQ7ssaJcVsCVdACmYz0FfyoZhCzDfe+vdt3XA95jWb8L41HNHpTZHp7WEU/urd8TYJNPizllc8dxIYY+GTkNQWZNMdSL/4f7DmKDiS3iH0cCEJH+MCRP57c2nTx9Cr/sY1s+Ds5HU9asGpXeBgddZR2YCT4ZpNcH4CPP7Csxz2B/DuBYhhBBCCCGEEEKIMiRUJIQIRhHmXa/zgVgVHU38HfcQ1XcAuffdiT53NszLE9XisFwTtNeDUFFKI1T2SFTv0ZDZN2AbEu1y4dq3E+eCD3C8/0bZyjW1IS7eq2KS3rmu9tcQDu16YBs/3TpyGlPtorpi8G6dg+ur2ejP34V9m8t/pLKhpvwG29DJ1tEizIW6N0KwNiFE5PgB2IKpdgNgQkGJjczNRyXDJi9iaRtbCfmYEHdlOYC3gbvA3QItmFBR6/7QuKMJYESZFqC2m/6Jzj9ngjbeNOZj2laF9dWmYkyYxxMme9N9s2PCRlmY4FYW0ANoFeRxNwNdfMb2uP9dC1yECRdtx4SItiNVRipyBBPs6wGYakWVDRUlN4HWvVGte0PrbFTD1uizR9Gv3go5x0O+4JBq3M4EiXqMQyU08DfDiakONsP9r/V3igL6YV6fTMHd/tBKO4pg6zJTlWi3b3e0ek7ZUON+ZQ1obQFuI7I/Cc9i2kP2wbTPXBne5QghhBBCCCGEEEJ4k1CR3/x5sAAAIABJREFUECJYS4DhwDtAG4DoCy4k6cmXOTf9au9giqhTdFFR6Yatjj4tpDZGZY8yFYk69kHZ/Ldx0y4Xrt3bcc7/H47ZM8FR5HderWnUxHu7gio6dZrNXtLqzXad1xuwD2Fa6gS6mtge8+7yFsD9wPvlnKUZppoGAHrr9+g3/wq6gutIUdHYpv0V1XeMdXQrcDXVb8cmhIg8LuBHmPZc/lpnVUUeppLI/SE6XmXMxB0qokUWJDaB3GMBJ6uhP0NlX+l/X9lA0RbgV3i3N6trnJhg0GbM61iPBkB3TCWjHkA3oCvQ3OfxvwYuc+/fhHlN/LZlv6cdnaicT3CHilTbfujVs8ufndLMEiLqjUprUWaKSmmK7jEOvnmzBpZbTTEJ0HU0KmsSqkX3QLO2Y4JEr2JeH1k1BK7HhIl6+XuwProDvXYObFwI+efpmz6yL0Wld7WO3IFphxjpPnTfhBBCCCGEEEIIISJOHb16LIQIk28xf8R+HnOxnaie2cROvpbCd14L68JENRTX0fZnac1QvUeheo9BdcwOOE07nbh2bcUxdxbOj2dFVgAuxqcbS31sf9apL7Yr70W16ow+uB1OHEK16GidUV5wJwFTIS3TvT0TaAoEulJ2EEtFCZXZF1p3gz0bA69PKdTU+30DRcuBSZj2SUKI+ukHTNWaZEwLoYaWWyM/933HEjHVQz7BVDP7EMit1Y+g1ArgANBCKRs6cySsnuV/ZqP2AQNFFjmY8M1LmN+HkVzhozpOA1+5b1ZpmOeRTGAXsAxTPUSE1qfALwBo0xeUDbSlrXKDDGiVXRoiapAe1EFVix6R9Q3bshcqayJ0GYWKifc3Ix94DxMmWob3z5sNGIUJEv0IiPV9sC7MhU2LTVWiQz+EfPl1ij0GNeQm68jrmBCgEEIIIYQQQgghhKgGCRUJISrrLKbUfiFwI0DMFVdLqKgO0w5LRwV7hD8tNMpA9R6N6jMa1a5nwGna6cC1fTOOOW/jnP8/cLkCzg0n5dtuTkfmOqtKDZyEuuGPJS3oVEZHyPAKFH0JfFHOIX5JaaAIzMW0ZAKHipzAH4F3S0bOlt8CRU26A1u/cdah+cCVhC8cIISoXefct8OVfFws5ndOONOgnYEbgOsw1dwAUK0HoK2hoqSmkDka1fkiVOP2FR3zJkzAoS5U9qgppzBhqqq0oxPB+xzzM2RX8SnozGEQl4xqnW1CRCnNqnbUmMRQrrFqEhtCz/GoXhNRjVoHmvU9Jkj0FibgZtUKmAbcDLT192C9b60JEm3+DIrD0MI3EvW+DJXU2LNVCPwmjKsRQgghhBBCCCGEqDci/OqxECJCaeDvuENFUZ26oFJS0WfPhHdVokpUnKVajrM48MRwadLSVCPqMxrVplvAadrhwLVtE47Zb+JcVEELjUhhU97bFbXpqks6ZKOu/0NJoMiPbbh/hwTQEbjXZ6wIU40oEAX81LOh9/4Ap44EnjxwErbx061Di4HL3ecRQojyFIbpvM2BqzBhon5+Z5zcDbFJ0HEEKnMMqmXv8o53AtPebCFl2y3FAWMxVZneR343itA6h6mCeiGA7Yq/heaop/aF5jiVpezQYZCpStRxEMp/S+FTmMpmM4C1PvtiMFUSpwPjMFWKvOjck7B+vgkTndwb2vXXddHxqMHTrCMvUP5rRiGEEEIIIYQQQggRJAkVCSGqaivmXbUNAGxtO+Bctyq8KxJVYmtmaSeRG6gATC1r1sZdkWgMqlXngNN0cTGuLespnv0mrk/n1uICa0h9yRRFRWO76a+o0spXh4G/YqoONQe+A54B8gIcIRHTSqiBz3gM0A7YGeBxPwJGejZcc54NvMaWmahrf2sd2YipUCQXzYUQkSYNmIypFDkCf2EDlxMOrYf8M5DSDDX9A5Q9JtDxvsUEG2YBR332RWF+j14LXAGkuMcfBn6LEKH1Ce5QUSjoQ5vR370dqsMFJ62lCRL1HG+tkuPrU+BFYDbgW1aoKyZIdCPQxPeB2uWEnd+YINH2r8DlDOHi65HsS1EJJS8bczGvO4UQQgghhBBCCCFECEioSAhRVRrYjydU1LAR8ifuusnerkPJfX3iQPgWkt7eVCPqPQbVomPAabq4CNemtRS//zquZQtrcYE1ocx14fohvQOqUbp15HLMRexgNAY+BgKVpdoB7MG0HnoD+CcmtBQNPOSZpH/4BjZ8GfAktqt/jYqO9WweBy4BpNyaECKSDMIEeS7G/I4rQx/fDmcPg7JBek9UXHKgY20D3nTftvvsU8AATGjpasBf36lbMO0lw9nuTdQ/b2G+x/1+f1dEH9kG+9ai962BfWsh92RoVxdIdBx0GWnam7XODjRrH/Cy+7bbZ18SpuLYdAKEqvSpA+h1c2HdPMgpv5XreS8mATXoeuvIc0DgUpVCCCGEEEIIIYQQolIkVCSEqI7SHJFS5UwTkczeqk3pxgHf64w1rEUnU42o92hUeruA03RhIc5Nq3G8+zKu5Utrb321rp6UKsorU/EqJ8hHZgCLgO6eAdcnb2Abc73vPM837a+Au4E5mHf+Z4J5V7/r3X8GPktUDLTraR25CRNUEkKISDES+MzfDn32EJzYZTYatUe1HxLoGMeAtzFBou8o+yTTHrgOeCCI9TQGRmF+RwsRKpuBXwJPVDRRuxxweAvsdYeI9q+DgnM1v0Kr9K6mKlG3sajYRH8zijHViGZgqjBZ33PhCe9NB67BBIu8aEchbPkcvWYO7F1NvXldWMPUoBtRiQ09m/nAo2FcjhBCCCGEEEIIIUS9I6EiIURVKSzvZNc5tfxHfREaDRpCYuk1Db1jTc2fs3UXU42oz2hU09YBp+mCfJzrv8fx7iu4VnxR8+uKCPUknHfiIProPlTTVp6RP2AqYJRHYVqelQaKlr2H/uBxnOu/wDb1flTD5v4eF41p0VNCr1gAhywd0qJjUYMvhzbdYPdG9Ir51tZsYKoJCCFEJPmbdUPnnYRDG0BrSM1AtQvYMSoPE2p4AxNqKPbZ3whTIeV6AlVIcRTDluXotYtQfSagupRMuxoJFYnQG+5vUDsK4eAmU4lo7xo4sAGK82t7bRCfCj3GoXpdgmoasJLmBkyQ6A1M9UOrJsANwM1YXuNY6cNb0WvnwKbFtR+UqqqmnaBZJ9SwW+DYTvSif8Hpg7W/jtR0uOBq68gjmAqWQgghhBBCCCGEECJEJFQkhKiqcUDJFX7nzm1hXIqoqrgp01DuKlM6Pwf2bamZE7XpjurrrkjUuEXAaTo/D+falThmzcC1+puaWUskcfk0DawnmSIAYuOtW32DeERroJ9nQ29bhX7L3c1s60pcf5gE3Qej+o4BpwMcRaisEagGTb0Oop0O9MJXSgeSG2L7+ROoVl3M9sCJ6IETfc/9M+DWoD4uIYSoHY2tGyqhIXQYFmiuC1iMCTTMpmx1uDhgIiZINIFyWk25/vd3WL8E8k3FOQ3WUNEVwE+Bwkp8HEJUpKRMps47hV4xC/auhUM/gLMoPCtSNmjbz1Ql6jQUFRXjb9Y5TPu2GcAKvMsK2TH/V5oOXIqfv7vognOwabGpSnRka8g/hBqR0gyVfSn0vhyV0MB7/I53cb1wPRzfVatLUiN/av36HECqFAkhhBBCCCGEEEKEnISKhBBVEQf8x7NR/PUy9AnfN+WKuiBm4uUl9/XGr8uGXKpKKWjX04SI+owJVGHGnDcvF+fqb3G8/QKuDatCc/46Qjt9Q0W28Cwk1Fp3heQ068gbQTzqBKbCRgIAbXuYFmWHdqLG3YTqNxbVuKXXA3TuGbTLCUWFkHsaCvNwffh0aZWi+CRsv3gGleFdWUC1LVMo4GbgQWBvkB+hEELUtLHA7grmrMT8fn2HspU5FDAEuBG4Ekit6IR623fw3Yfeg5u+QBflo2LiARoAF2FaTgoRKkuB3wCg7LD8DdCu8KwktTmq1yXQcwIqNeBr1y8wQaL3gFyffR0wrymmAn5T9HrPKlOVaMvn4IjwfJ6yQ+ssVPuB0HEwqnFbr9264Nx+YhPPKGXrDqCufRw9867aCxbFp0DmUOvI/1H2ayKEEEIIIYQQQgghqklCRUKIqvg/oDOYUET+k4+FeTmiKmzdemJrnlGyrVcurOYB7dCpDyp7pLn5VJCx0rk5OFctxzHzOVyb11fvvHVZmUpF9SNUpMZcj7LZPZs7gIeDeFgOcAfwAhCjomOw3fAnyDuL6pDt/zyJ7mvkcQm4Vn+Kfu0vlp02bDf9zTdQ5AL8fZJtQCYSKhJCRI49QEdM5aEelvFdwJvu22Y/j2sLXIsJE3X2d2B99jisWYhevQByT6Mu/ikU5aOXvFp2cnEB/PAlZI31jExBQkUitL4GnIBdxaegm3aAI7VYAdUeA5lDUVmToG1flP/XYoeBV4GXAN+yQgnAZExVIv+t3M4dg3Xz0Os/hlMHQrj4GpQ1CTXsVlRSo4BTVFzyaqB/yXZiQ7j2CfQr0+HskZpfY/ZlKHtJ4bUjmIClEEIIIYQQQgghhAgxCRUJISqrOSZUBEDhO6/j3LwxjMsRVZV0/6Olrc9OHob1X1T+IFEx0HUAKnsUqtcwVFIDv9O01pB7DueKryh++3n01k3VWXr94fJ5J76tfvQ/U95VirYDwfYveQ1zIX0pgEpv72/OGSAWUzGthG3QJJwbvoRVn5g1XHIrqucQ65SHgd8CIzEX49Mt+1YBnwe5RiGEqC07gAuAX2ICQq8Bn+LdZgkgDfgxcAMwFD90YR5sWGqCRNtXeFWC0e/8pdxF6DWLUKWhosuARKQaiAidc5iqWwMAaN2ndkJFTTua9mbdx6HiU/zNcAIfY6oSzQeKLfsUJkxzMyZoV+YA2umAbV+i182Fnd+Gr/pSVQy4FtuoOwPt3Q68CLyNqTKZg2mt+DqASkyDvpPRS56u2TXaolADplhHXgEcNXtSIYQQQgghhBBCiPOThIqEEJX1FyAewHXiOPnP/Du8qxFVEj3+MmztSyu46EWvBt/6LC4R1WMwZI9CdR+MikvwO01rDefO4vxuGUUzn4ddvm/sFrh8rwvXj1CRXvcFqssAz+Y4zIW3FUE+/HNMRQDfviO7MRfL9wN2IANTveO/QCcAW7+LcK36BLoORF18s/Wxs4Hfu+8vca/nYUxrkk/dx7BeLBRCiEiRD/zNz3gsMB5zMX8SEOPvwXrH9+jvPoSNn5uqQ1Wx9Rt0QQ4qLglMVZZJmECBEKGyFHeoSLXKQq+ooYIzsUnQbQwqaxIqvUugWdswQaLXgEM++xpjfuam411BrIQ+tsu0N9uwEPJPh2jhtajLKN9AkQNYDCwCFmIqpPm+gJ2FO1QEoAZehz66HTYvBWewufJK6jQEFV/S1bEQ+FfNnEgIIYQQQgghhBBCSKhICFEZg4HbPBsFLz8DuTlhXI6okoREEv/099IqRUd2o798v/zHNG+H6jHEhIk69kbZ/T99aK3h9Ekc335O8cznYd+uUK++nvF517qqJ6Giz99Fj74O1aikGNAggg8VgWkt4hsqmoEJFIGpHrDPfYvBhIagbQ+IS8J2w5+s36O7MdU7rJ/sA+4xIYSoS2yYcOW1mMpEDf1N0sf2mIpEqxfAyYPVP6ujCDYshX4TPSNTMG2GfIMFQlTVMjyVUFtlYULWIfz2Su+K6jsZuoxCRcf6m5EHvIt5rfGlz8ntwFhMkOgyINr3wbowFzYtRq/7GA7W0Wqcyg79fozyDhTtAMZgXkuVx4VpIdvaM2C79M/oQTegNy2GdfMg53hol9tlpHXzU+BoSE8ghBBCCCGEEEIIIUpIqEgIURn/8NxxbttC4aw3wrkWUUXJL89CxZZ2jnLNfAicPt0CYuKgc38TJOo+2BoOKUNrjT52GOcXiyl+6wU4IX/TD1qZSkX1REISpDSyjuyt5BGeAoZZtg8DzwaYe9K6oQZNQqU182wWA5MxrTmEEKKu6gjcBNwItPQ3QeechLWL0avmw/4fQr4AvWYRqjRUdClwBBgB1NEEhYgwX2GCPEolNEA3bgvHqxlMj0+B7hehek1ENesUaNZ3mCDR28BZn33tMT930wj0c7d3tQkSbV5S9Upg4RaTAFkTUdmXoRq3te45BUyk4kARmGpGlwILsITCVZP2qOG3oftdhX5pWmiDRbGJ1q0yQS8hhBBCCCGEEEIIEToSKhJCBKs1plIRALkP/REcjnKmi0iU+PDjRHUqbffgWvoObF1pNpq2RvUYjOo+GDr1RUX77aQCgHa50Af34vzsY4rffQVyfK/DiGDYUht4DzjqSQeu1l2t3z8ngfmVPMIszEWp2zFVi+4DAl2JKu2rERUNpYEiMK3OVlXy3EIIEQkSMaHIm4Hh/ibo4gLYuMwEibZ9G3wb06rYsRJ97iQquaQ4UhPgMWBCzZ1UnEfOAGuA3oCpVlSVUJGyQdt+qF4TIXMoKsrva9kTmFZdM4ANPvviKf25G4kf+txxWD8fvW4unNrvb0rdEB0HPS5GDb0FlZjmu/cIcBGm1Vmw1mIqqb0N9LXuUIlpMHgaeuFj1Vmxt9NeVdgaBJomhBBCCCGEEEIIIapPQkVCiGCVlLN3nTyBc8334VyLqIKEBx4l5qJLSrb1vs3otUtRk+9B9RqOatqq3MfrgnxcWzfiWPwRzgX/k1BZKKSVVvPRRQWmxUx94N1apCHQDVhdyaM87r5VpPSTZo+GM17ZozpaNkAIcR7rDtyFaTGW7LtTOx2w/Tv0mkWwcRkU5tbOqlxOWPERjJpmHR0NxCG/a0VoLMMdKlKts9GrZwf/yNR0VK8J0HMCKtW3e2qJL4CngQ+AQsu4woRgbsa0Fkz1faD5ufvKBIl2fAu6BgN8NS0mATX4Jsi+FBWX5G/GK5hWdFUpPbod6Oe+nw08iKl2BK2zq3C4csQkWLcqE34SQgghhBBCCCGEEJUkoSIhRLDsJfcKC8uZJiKOzUbS8zOJ7tPfa1i16oL97mcCPqykrdmKLyn+32uwa2tNr1TUE6pdT9+hXwI31NDpXCX3omOh2Ov3U0oNnVMIIUKtF/AopjpIGfrITvSKj2DVAsg9Vbsr86zhkxfRpw5hm/xbz1AMMAT4JCwLEvXNMuBuAFoFEUCJioHM4ahel6Da9Q806zDwKvAysMVnXyPgOmA65uevDH18N3rtXNiwAPLC83MXUu0Hosb/GpXSzHdPHqb17AzKfp6qag3wJp5QkW+r5eqISYAuXoWklobu4EIIIYQQQgghhBDCl4SKhBDBOuO5o5o0RSUlo3POhXM9Iggxl19Jwn1/QsUnVDwZ0IUFuLZvxvHpHJwfvwdFUnxAVJ5q08136KsaPN0ewAnYVXQMDJxo3ZdZg+cVQohQaIOpCnIrPv830wW5sHYResUc2LcxLIvz4iyG72ajuw1FdR3iGb0VWA5YSybFAWlAB2AEJnz0KrCj9hYr6qAvPHdUchN0gwzfFldGs0xU1kToNhYV7zc77ATmAi9h2q9ae8vagDGYINHlmO9NL7owD374xFQlOhABP3ehYI9GjbgddcE1vnvOYlrBPQLsrYEzZ5XcO7EnhEedhIqO82ydxoSXhBBCCCGEEEIIIUQNkVCRECJYWzB/eE5RUVEkPvw4OffdCfl54V6X8MPWK5uUl99FKVu587TWcO4MzpVf4Xj3ZVyb19fSCkW91rJMlue5GjzbaeBj4FIA1a6Hdd+uGjyvEEJUR0PgXuBX+AQb9JGd6GUzYe1iKI68cK/esdIaKrrKfSsGtPsW6+dh92CCHAcw1ZgyMJVpZmJCIEIcw7Sx6gKYakWeUFFcMnQfZ6oSNQ+YF96CqbTzOqZCkVVLYBrme7CtvwfrfWtNVaLNS6A4vzofR2Rp2Qs17l5U047W0SLgIeAxIKcGz97dc0cf2Rayg6rel1s3n8e7nZ0QQgghhBBCCCGECDEJFQkhgpWP+cPzAwDRFw4jZeZH5D36II6vPw/vygQAti7dib/pdqIGDEYlp6CU8jtPa40+cRTn10sonvk8HDlQyysV9V5MnHVrN+Yic036JTAaSPQZf7yGzyuEEJWVCvwVuBnwKiOoTx5Ef/gYbK7J4m4hsPJj9NBrUalNraPRFTwqCXjHZ+wWTPu020K4OlG3LcMdKlKte6PPHTNViTKHoaLKFBUCUyHrHUyYaDnerzeiMa23bgEuxlQp8qJzjsP6+eh18+BkTRTqCaPkpqhJf0S16eO7ZyNwtfvfmta25N6p/aE5YoseqEatrSOBezkLIYQQQgghhBBCiJCQUJEQojIeAnoCVwLY27Qj+cmXKP7+W4rmfUjx18vQRw6Fd4Xnk4REYq+4hpgx47FndkHFxZc73XVwL86lCyh+ZwacPV1LixTnpbPHoXFLz9aZ8qaGyA7MhcNngc6Yagd/AWbVwrmFECIY8ZhqPfcAja079Nlj6E9mwMq5psVYpMs/i376Frjodug+HBXnm+c0dGEuHN+HatGlvKNdi4SKRKllwE8AVK8JqF4TAs37GhMkehfw7cfcGVORaCrQ1Gcf2uWEHcvRa+bAzuXgqoeFshq3Q035Lyqpke+epzHV0WqrFFNayb0QfZ5Vp6HWzSWY8LoQQgghhBBCCCGEqEESKhJCVIYDmALsBO7D/Y7f6L4DiO47AADn7p0Uf/slRfM+xLl+TdgWWm81a0781NuIHjEGW7P0gNWIfOWNy4KiyGuhIuqh2ASIT7aOvF9LZ16KqW4QDxRQ89WRhBCiMp7GtF8qoXNPo798G76aBYW54VlVVZ0+gp51P9js6ORGEOMONisFRfmQexqKTUcind4JddFPoFV3sNnNtMQGniOVn4gW55tl5ew7CrwKvIRpk2aVCPyY0upXZehTB9Dr5sK6eZBzPBRrjUAK+k5GDb8NFetVCO0r4DfAl7W0kFjM77yShHnIApMte1q35oTmoEIIIYQQQgghhBCiPEprueYmhKiSLOA/wIhAExw/bKDw7dco+mwh5ObU2sLqG1uX7sTdeAvRA4egUtPKDRIV7dpD7scLcBw9RpMH/gCYdmfk55oLfcrd+cFmAxS4nDiWzqf4H7+thY9E+LINGkHc358DQBcV4Lp7cJhXVD3qsjtRI6egYkuuETuBJsCp8K1KCCHCLhoTdrSBqZSiF78Ay2aCozC8KwuHtHRsv5ltHbEhQVBRagPQ3X3fCczDVCWaB1iTKQroiwkSXQt4JZoBtKMQtnyOXjsH9qymXn+bNchAjf8/VNt+1lEXpvLTjFpcSSowG8v/EfWpA+gXrwdHUbUPru78AJVSUoBqFKZakRBCCCGEEEIIIYSoQVKpSAhRVWsxf8gdiPlD/sVAR+uEqK49iLr/ERJ++wCFH86i8K1Xce3dXfsrrYOiBg0l9tqbiO7dD5Xgv60IgCsvn/yvvyFv6TLylnxB0dZtAMT26lEyRykFCUmBzzXuRxQ/8SDk5YXuAxDnHTXgEmwX3+w7/BISKBJCiFjcgSIA/Z/r4cjOMC4nzJwO35FooPppA1FfTAHuArYBrwO+vZUbAtdhwkS9/B1AH91u2pttXAgFvt3R6qG+k1Ej70RFx1pHT2JaC75XiytpB7wD9PcM6AMb0LP/BOndUBP/APln0Mtfhy1Lq3YG7bJuBf4PjhBCCCGEEEIIIYQIGQkVCSGqQwPL3Tcwf0geDdwADPNMUnFxxF19I3FX30jhvNnk/+vv6JMnan+1ES567ARir7qBqJ5ZqJjYgPOcJ06Ss/ATcuctJG/Zl+j8sm3NirZtx3HsOFFNGld4XqUUpDaSUJGoutgE1GV3WkdygH8DD4ZnQUIIEVFivLbOHAnTMiKEhIpE+dYDt/qM2TCVb24BrsAE9bzowlzYuBi9bg4c8u2OVk8lpKEm/h7VYZDvng8wgaJjtbiaq4DngJLehnr9fPS8hyEqBjX1eVRSY2iQjrrib+iDG9FLnoG9qyt3FmWzbqWHYuFCCCGEEEIIIYQQonwSKhJChNIu4EX3rSfwM+DHmHcUAxA74XKiuvbg7JRJUHSeXz+y2Yi5/Cpif3Q19s5dUVHRAacW79lHzryF5MxfSMF334PTWe6hdX4B+0ZfQvyQQabtmdOFdjrB5UQ7XSi7jfQZz5Q+ICYm8MGEqIAaPx2V1syzWQRkAzvCtyIhhIgoxV5b9sDP9+cFV5nXMOf5J0SUowUwDbgZaO9vgt631rQ327wEissG7eutziNQl/wOFetV0fQIcDcwi5rp9aYwbyBxAJ+7z5EA/AsTYiqhV76HXvxv86BBt5hAkfVAGd1R1z2J3rEcvfRZOLq9/DN3GYnqO9na+gzgeLU+GiGEEEIIIYQQQggRFAkVCSFqynrMH5fvxlwMuAvoCmBv15GYcZMomvO/8K0uXOISiJ1yI7ETLsPWtgPKbg84tXDDRnLmLiBn/iKKNlX+HdeOQ4c59+4H/ndGe1+/U9ExNXLlQVTAVQ8+61HRqFFTrCMPI4EiIYSw8i4FGB24GmG9Y7NDUkPzMUfHQnQcJKT4zpJQkfCVhnmTwuVYWgd66NxTsH6+CROd3Fvriwsrmx2yJmG7+D7fPXMxlZxqshTaTcAMy/YDmFZ0HTwDujAXvfAx2LjIDDRoARdcbT3GViDTs6E6DIL2A2DDQvQXL8KZw2XP2vtyfx/v18CH1flghBBCCCGEEEIIIURwJFQkhKhpBcCzwAvAa8C1ANHDx5w/oaIGDYmbeisxY8Zjy2hp2o0FkL9iFTkfLyD34/kU767BiyQO79YjKjZOQkXhVs73RcTqPQrbRdNQpRfIncBjYVyREEJEIidQiKdlU0x8WBdTK1KaoC68Ei64HJWYWtFs+T+p8PV7TJuzEtrlhF3fodfMge1fgatMG736r/0A1OUP+lYnArgH+C81U53IqpXP9p+sG/rodvT7v4NTB0rG1LBbUFElFVH3A32ALOARYDCAUjboOR66joZV76O/fg3yz5hHJDVGjfRqsQuwBrgG87tKxgDFAAAgAElEQVRVCCGEEEIIIYQQQtQw+QOuEKK2OIHvcYeKVGz9fpe+rUUr4m66neiho1CNmwQMEmmHg/yvvyXn4wXkzFuI83BNvrnYemKfaw51MdBSH3h9HerW10BdcTe2sTf6Dr8KnAvDcoQQItLl4Q4Vqav+DPt/MM8BjkJwOtB7N8CmZWFeYggoG2rSL2DgZJQ9qP9quoCcGl6VqHtKqhPpgnPo796GdfPg3NFwril84pKhzxXYhv/E3955wH9qaSWvAH/xt0Pv/Bb97q/Lhr06DbFuvQ3kYqoMDQUmYipcdgNM+OiCa6D/Veg37oT961Cjf46KTfA8vgDzf8k5mBZsQgghhBBCCCGEEKIWSKhICFGbenjuOA/Uv1YFtm49iZ/6E6IuuBCVkhowSOQqKCBv6RemItHCT3CdOl3LK6VM+zNdVFD7axAQHVN631V33mythv3YX6BoMfDzMCxHCCHqglxMSydUq27QqpvXTgX/z959h0dVpn0c/z4zkwIJvVfpKiiIIAKCDUFBsSEuUhSxK7p21+6ra9d117Z2116wF4qChaYoFlBRQUVpIp1AenneP56ZcGYykwKTmQC/z3V5OU8559whgUxy7nPf2PnvYSfdkoTQ4qhdd8xBf4u2UgLkBv/LCf4/C3gUJaNKWZ/gqu+490dznqH6i/DUUI3aYSY8hQlEfSDjceD8BEbzBy6B/LTQhP3iZezapfD91LIJRW33x6TW9s7M87y2uOSgycCpuFZqrSFYuWj49di3b8R0PcJ7/N+BGL2dRURERERERESkuiipSEQSxQcMDg2Kv/s2iaHET+CgQ0g/ZTyB/XpjateOua84K4vsDz4ie/I0sj/6BJudk8AoyzIp4f/82/z8JEWym0tP3/a6uDB5cVRF6y6YkZd7Z34ErgCm4G4ai4hIWT8QvGEei+l9DHb5D/D5GwkKqRo0bOUdbQRuA54Kvt5Ns0JkO3yKe0/hM7XrY5t2gjVLkh1TghnoOxozMKx9WMj1wK0k5+/U8wSTimzeFuyMB6LvSsvAHHOtd+ZH4L0oO4uBp3FVjLb9gLR8AWboVd593wJPbH/YIiIiIiIiIiKyvZRUJCKJciTBm2m2pITCubOSHM72Sxl2PGknjSbQdR9Mauw2bkVr1pA95UO2Tp5Gzqy5UFhzkkZMILxSEXmqVJQMJtVzk6io5nx9xFSnIb5Tb/R+/WwBhuKeXBcRkdjGA+cCGbhEgPTgawMMAtoCmGMuxi79Fv76LUlh7qDa9byjT4F7khSJ7Nw2A/OBPgC067V7JRWlpGOGXYPpOihyZSPufde8sgclTGm5WZNeB+vzR622aY64GFOveWhYBIzDtS+LpXfYKL0Opmkn78zFKHldRERERERERCQplFQkIokyMfSicOYM7Mb1yYylalJTSRs5ltRjTsTfqTPGH/ufzoKlf5A9eRpbJ08jb/7XUFIzf/cdWamIfCUVJUWqp1JRTU8qyqiP79LHMc3beWcnooQiEZHKWA3cFGOtOa4KRzOTkgZjbsX+59Sdp4Kdh8mo7x3uRG/2pAaaQTCpyLTrjf3i5eRGkygtu2GOvhrTuH3kymXAfSS/4lef0Au7cUX09r1dDsZ0H+aduRn4qpxzGuCG0vPmbob2fbzrj+CSFEVEREREREREJAmUVCQiiTAEKP3Ncv6rzycxlEqqW5f0MWeSeuTR+Fq3xfh8Mbfmf/8DW993iUQFi35KYJA7IBDxz3+B2p8lg/F+Hmyy7xHF0Kglps8wfMeeF7nyJq4FhoiI7JjVwOnAZADTrAMMPgs79eHkRrU9wpOK1iYrDNklzACuBqBND4hREWeX0u9UfIeeEzk7HTgZV6Uo2QxwYeloWZR21hkNMUOv9M58AdxewXkPB44ovUitsIpnK4F/VDVQERERERERERGJHyUViUh16wi8GBoUfb+Aos9nJzGc2HzNW5I2/mxSDxmMadoMY0zUfbakhLwv5rtEoinTKPpjeYIj3XFlkqSKipITyG7OehOJYny9JZMZcCJm1FXRqnPdDPwfakMhIhIvU4AHCVV2PHgMfDsNVv+a1KCqLKOBd6SkItkRc4F8IM2k1sa26Aorv0t2TNWnxd5ESSi6E7gO1z4s2TKAW/BWKlo4ucwmM/QqTO3SfwdycW3PyovfAJeUs346rh2eiIiIiIiIiIgkiZKKRKQ6ZQBvA40AbF4eObdck9yIIvg6dSF9/Lmk9BuIqd8gdiJRQQE5M+ew9f2pZE+bTvHadQmONM78/vBxUUFy4tjdFdfcJ+7NYafgO/nyaEtP4Fr41NDSSiIiO62rgKFAR+MPwNF/xz55UbJjqprMsKSiNckKQ3YJubjEosMAaNd750kqSq0N3Y/GNG4HuVnYLWsgeyPkbobcLNiwrEx7Q9N5oHeYBRwDzEpc0OWqg2tf1jk0YX/+FFYsCN/V/RhM5wHemSuAxRWcexxwdIy1V4EPqxiriIiIiIiIiIjEmZKKRKS6GOAZoFtoIueWqylekvz2YP79+5A+7gxSeh0IGZkxE4lKsrPJnv4xW9+fRs70jynZsiXBkVYjf0SlohIVnEkKb1pOOS32Eq5zL8xJl3pncoDauBtK56GEIhGR6pADXAS8D2C6HIhtuw8s+z65UVVFePuz4cA0VLFItt8MgklFZo/9sXOeTnI4FQikQdfBmIETMHWblU5H/qRhi/Jh2bfYH6bBjx9BcSG2KN+7LwuYl5CYK2cU3oSijSuwU+4M31G/JeaIv3tnPgAq6uFYH7g/xloBansmIiIiIiIiIlIjKKlIRKrLZcCI0CDv2ccpmPJO0oJJGXQkaSePI9C9JyYtPea+onXryZ42nez3p5Izcw42Pz+BUSaO8VQqCmvBJYlV4qlUZGpIUlF6Br7xN3tb5P0OHA4sTVpMIiK7jym4ZIIDAcyxl2IfOhPsTpL8W6ehd3Qy0JRQpRmRqpsB/BOAVvu4pJ2imvje3EDvkzADJmBq1a14dyANOhyI6XAg9vALIXs9BFK9W1oDp+KqQwLsDYwFrgF+AR4gdjJOdQj7B8g+d56ruhSSko457v8wabVDMxuBCVSchD4KqBdj7QH03lNEREREREREpEZQUpGIVIejgLtCg8K5M8l94O7ERuDzkXr8yaSdcDL+PbtiAikxtxauWMnWydPIfn8qufPm1+iWVHHj81e8R6pfiufrsrgoeXF4+C59DNOweWhYApyEbuqIiCSKxSUOzAAwbbph9z0cFk5PblSVZNIyIqcOTUIYsuuYD2wB6phAKrZND1j6RbJjCufzY0bcgenUP3KlAFe1NRVoiUuwawg0C84BYDIaQEaDyGMBbsMl55wFHOmZ7wT8B1cJKFElYEsDtKsXQ/aGbSu+AObEWzEtu3r3nw+srOCcTYBbYqxtwn38IiIiIiIiIiJSAyipSETirRbwGMFK/yV/riL7uksTk6iTlk7aqFNJO+YEfO06hlXjiZT/02KyJ09j6/tTyV+4E7UViRNTk1pt7cbCqmYlO6kokIrvnLsxbfbyzr6Fa3kmIiKJ8xHwGi6pE3PIOOxOklQUgx/YDTK2pQoygEuANOBOYGuMfUXAp8AxEGyBVtOSinqNiEwo2gq8CNxH9KSfVKAfrhLRhHLO3AT370A0WcD6Kse6fQ4Hbiodhf35G8wx12I69PXu/y/wciXOez7QOMbarcCGGGsiIiIiIiIiIpJgSioSkXg7G2gDYAsL2HrxmdhNG6vvavXqkz7uTFIHD8PXui3GmJhb8776hq2Tp7H1/WkU/vpb9cW0M/ArqahGSK+17XVRQfLiaNUZ34iLMXuH3RTaAtycpIhERHZ3/ySUVNR6L2zv4TD/3SSHtN0CKKlIwl0FXB98PQgoU+bH4yOCSUW02a96o6oMfyq03Q9adsXUb4XpPsy7+inu7+26cs5QENz3Ka5Sz0nAAOC4SkYwG1e9aG1VQ68Eg3vvdwTwHdAOGBxatLlZ2C9f2bb5iIsw3YZ4j58EXFjJ64yKsfYrrvWZiIiIiIiIiIjUEEoqEpF48uOeOgYgf9KLFC/5Of5XadacWuPPIfXQIZimzWImEtmiInLnzmPr+1PJnvIBRX+ujn8sO6tyqjhJ4oS15UtG273UdMzY6/EdcFTkShbu5taCxAclIiK4f3/fBE4AMEPPxy6cAQU5yY0qlmYdMEPOibbyLJCf4Gik5mvted0P114r1lMIM0tftdgbAmlQlIQvqWadMX1Ogc4DorX5C3mK8hOKIv0O3BP8LwDcwLZkq0hvARcBy6tw/qoaDFwXfB2WaW4L87Fv3bCt9Vm/UzEHnOzdMgMYR+USCEcDpaUxbUkRxlf6q6l/o38zRERERERERERqFCUViUg8DQL2AJfQk/fs43E7sW+PDqRPOJeUgw7FNGgYM5GoJDePnE9msnXyNLKnTadk46a4xbArCW9/ZpMWx+7OFnqqEyU60SutFr5Ln8C03Sty5VVgLFCY2IBERCTC34EjgdomsyG2/0nwybPJjqmsvQ7CjLsDE0iNXHkEmJiEiKTmewQ43TO+Ac+DCREW4FqKZRp/ALv/CfBFZbprxYnxYwZNjEygieZn4J0duFIR7s9hKa5SWcvg/EJganCtupNtymSZA9jVi7HT7oZVi9xEj+H4Dg1LIvwKlwBZmfgCeNqp2Z8/xex5iHc9UW3dRERERERERESkkpRUJCLxNCb0onD2x9g1O1YZyN+9J+njziLQpx8ms07MRKLiLVvI+eAjV5Hoo0+w2TX0Kf6axJvAopyi5Ckp2fbaJLAlXeNW+MbfEplQ9ANwF/A8UBL1OBERSaTlwP3APwDMwFOws16E4qLkRuWVkoYZeV1kQtHnuPZM3ycnKNkJfBkxvpjYSUVFwMfAcABz6LnYHz+CLWuqMbygRu0ww/6Bab1v5EpOMKaFwApcy65Pgbw4XPXp4H+JdhBwhnfCzp+EXTwL/vhq22TnAZijrvBuWwwMxbXNrYwzgE4AtqQY+9FD0Lg9plHb0PoNwHtVOJ+IiIiIiIiIiFQzJRWJSLwE8DzdWjD13e06ScqgI0kbOZZA956Y9Fox9xWv38DWKR+w9f2p5M6cgy0oiLlXyjIB7z//yipKmrCkosRc0hwwFDPqKkztOt7px4HzcTfuRESk5vgXLuEi3WQ2xO7ZHxbNrOiYxNlvCCazYWiUA5wGvIGSU6V8FngG9/USsi/wXYz9VxNKKvKnYCa+Scl7t8J3k6svwgNHYw4+KzJh7gfgZlzSy878FEMKcCXQA9eurTsuqQgAW1SAfeZsWLNk2xF1m2F6DMcMOD3iVIwG1lbyus0JJkkC8N0U2LQS+81bmCMuCs3uBZwN3FuFj0dERERERERERKqRkopEJF6OAJqCa+lU9Pnsyh0VCJA24hRSjz0Jf+e9IpJdwhWu+pPs96ey9b2p5M77EoqL4xH37snvqYpjfNSauhCKCimc9DRFzzyYvLh2O56ErvRM6NQTfv8BiqohSc4YzN+uwnfIyMiV54ELUEKRiEhNtBZ4CxgFYPYfhq0pSUU+P2ZIWAukF4HXkhSN7HyuIjyp6H9Arxh7f8BVA+oYmjBHX41d+T1sWBb/yHoej+/wCyJnXwfGAbnxv2DCjcC1WCvDlhRj3/tneEJRs86YU/6DqVUv2iHP4lpgV1Sidl/gE6Bh6XXmBts5LngXO2ACJj0ztLdbJT8OERERERERERFJACUViUi8DA69KJz9KTZrc+yddeuSPuZMUocMw9dmD4wvdtungl9+Zev7U9n6/jTyv10IVlV14sLTSs4YA2lpkJZGytjzlFSUSJ7EOFOvMf7LnsCuWUbJvWdB1rr4XSejHua4C/ANHOGd3QycB7wUvwuJiEg1eJ5gUhFdB0LjNrBueXIjAuh0AKZuk9CoALgjidFIzZMO5BO7JOZfEeP9cb+fiJXkfD3u74IPwBgf9D/VJcDEiz8Vc8RFmP1PiIzzLFx1ol3lB5EG0Sbtnz9hP7wPVno6FzZujznlfkyturHO1RWYDfSj/IpFtxNMKAJg3ouwaSX0PB5zyDnehCKARZX5IEREREREREREJDGUVCQi8XJA6EXRl59F3ZD2t3GkjZmAr1Ubl8gSQ+78r8me8gFbJ39A4S+/xj9SoWDRTxStXUegSePwBb8/OQHtpopmTSfl7MvD/j6Ypm0xex6A/XJKfC6y/xH4Trkak1nfO/slMBL4Iz4XERGRajQV+A3oYPwBGHYh9tkrkx0TpudR3uFkXCUZ2T1l4NppjcYlrPiB+rjWWtfg2qxGcxVwp2c8ktjJzi/h2qNNB5oB0G0IzHkaNq7cwfCBdgdghlyKadTWO5sNHA18teMXqFH28A5KZjwIy7+FP38M39WuN2b49eUlFIV0BN7BVa7NjrLeBDgyNLBznsHOfAx6jcA35NLIvR8BD1XmgxARERERERERkcRQUpGIxMtKW1ycb/z+NLslq3TS174TtS6+ipS+AzApqVEPtAUF5MyeS/bkD9g69UOK/1qTqJh3WyWbs1h28BDSe/UkZY82NLn1pmSHtHta+Tv5/ziblFPPx9+tZ+m0zY92P6aKGrfGN+oqTLf+kSvfAUcBG3b8IiIikgDFwD+AVwFMt0OwHfaH375OblTt9/OOVPVu99UU+BDoHmWtMfAYrq3Z+8BPwN5Ae2A/XDsxr4co/2vpe6B18Dwdjc8PB52+Y9WKWnbFHHIupl2ZzmsLgJOBxdt/8hqhMzABWAlswv35XxJatHOfgy/K/pGbQ87B9D/VO2Vxn6/hwN+iXKcv8Dauem1kRafBBH/3ZLesw856Auo1xxx6rnfPFuBfwK1AYeU/PBERERERERERqW7GqpWQiMTHHKA/QMnavyha/CP+Dp3xNW8ZtSpR8ZYt5Ez/mK2TPyBnxieUbNmS6HglKHXvPdlj5gcAWGvJPXyvJEe0e6o148fSVoDFd42HP5fC3gdiGrWEWpmQkgZYyM3GLv8JfpgLtiTquUzvIZhxN2JS073TW4G7cTdstlbrByMiIvFmgPm4FlHYVUuw949LaltYc+ssTKA0Ybwr8GM522XXlA7MxFOxNA7aUXElxdOBpwBsSTH2iXGwvqrFFw1m4ATMgAmRCxb4D3AtkFPFk9ZEC4F9oy3YglzsIydDtjfP3GAGXYjpE5Y3VAScDTyN+7foUuCeGNfbG5f05fUwruUu9ocPsB/+GzP2YUzjdqH1dUAPYFVlPygREREREREREUkcVSoSkXj5iGBSka9JM1KbNCuzwZaUkPPpLLKef5nsqdOxBQWJjlGiUXJpzeBtgXb4aMw+AzDptWNut4s+p+SxKyA//H6XGXYWvuHnRm7/GDgHWBK3eEVEJJEscC7wBYBp2RnboRf8Oj95EZWEJbaqf+ru6QY8CUV27iTsN1OhpARz+OmYbgdXeAKbvRmTUc87NYrwlmjRPIer3tXF+Pww8AzsWzdUPmp/CuaoKzHdh0WuzMRV8UlyGbC4qhNt0hbmYd+/LTyhqHF7zOCLMe16e7d+D5wKfBM6FLgXyAIeANI8ezcAyyMu1RaXBOYOXr4AM+xqb0IRwN9RQpGIiIiIiIiISI2lpCIRiZe7gCFAn8iFwlV/kvXiq2S9+CpFy1ckPjIpX7A6jtQcvt5DKtxjuvbFd/d0+OUb7OKvsHPfBluCGXamd5sFJgL/pWwrChER2bl8CUwGhgGY3sdgk5lUlJ8D2yri1U1eIJIkqcBFoYH9/A3s29uK19iXroPjLoeOvV3idJ3GmEAKdsMqWPs7bFyN/X0BfPcxnHYXpktf7Lrl75jGbS4D/g3kl3PtIuBGgq3SzN6DsJ89B39FyZ3e6zDMfsdB4/aQWhsCKRh/SuSuxcD5uIckdrX3SxfgWs+VKpn5BCx8D7as3Ta533GYwX/HBLw5QnyNa5m7lrIeB5YBLwINgUW49miRPXwn4ipaYbM3gDGYLgO96zcFzyEiIiIiIiIiIjWU2p+JSDwFgIOAN4EGockVJ5xC7uy5SQtKypd+QC/aTH4DcNWkcgftneSIdkPptag95dtoKxuBWbgnv3NwLSeGA60jN9qs9difv8R3wFGhqbzg3unVEbKIiCTFCOA1CFYa+efRkJecjpbmwv9hWpe+ZzgPeCQpgUiytAJKnxYouW04bF4Te7fP75KLiovKrtWui7nkJUzdxqGZ04BnK7i+D1c9pzuA/WUOdtKVYRvMoedi+o2r6OOYDRwDbK5o405sW7u4Dcuwj56ybcXnxxxyLqbv6Mhj3sJ9HrIqOHctoDGwEojsy5sJ/A40ApfMZPY/AZPZKLQ+CziEXS+RS0RERERERERkl6LyFCIST0XAp7iEhwWhySZ33IxJTU1aUFIBv+dbgRJNE69BY1KvvC3aylNAe+A43M2gC3BP0XcGHsQlGZUydRt5E4oA3kEJRSIiu5p3gXUAJiUduvRNXiR/LfWOjk9WGJI09cNG4RVuyiopjp5QBJCTBT/N8c5MrMT1S4DrQwPT6SBo1W3bapOO0HdMReeYAgxl104oApf44+R4PtT6rTCnPhqZULQa9/f5RCpOKALIxbU8i0woAvf+tRGALcjBNO3kTSjKw7VV0w8fIiIiIiIiIiI1nJKKRKQ65ADnEPwlcdqenWnw9/OTG5HEZHx+z0i/10+kwJhzqPXyRwQOG+adLgQGAWcQ/SZXHnAhrhrYwcB/gIKIPUXBeRER2bUU4FqgAWD2OTR5kTRo4R01irVNdhk+4O/Ak7iKWS+EFuyGVbBh5Q6d3M6d5B0eAPSqxGHvAl+UBnjqY9DpIABM/1MxpvTXHYuBwcB+wN5AW1zLvmFAckp9JVbPMjPpdTDjHsa0CKtQ+j3QG3ibHf+hoDawrXTUqh8hvO3ZLbgqRiIiIiIiIiIiUsMpqUhEqss84KHQoOHFF5Dada8khiMx+T1JRcopSgyfn5RL/4/UMy/FpIY92f8L0A34qBJnKcC1jbgY6As8Hxw/A/QH1HNQRGTX9E7pq30HQdN2yYmi6R7e0ZQ4nrk/cCcwBngVl0TVNY7nl6rrARQD/wYm4Frw9Qgt2rfvARutUE0V/LkE+8dC78x5lTjKAtd6J3wj74LeJ0HnsASWa3HVGxcAP+Eq62zZoXh3Lj+XvmrWGdLrQLvemMzG3j1PAP1wbczi4VKC7XptcRHUbeJ9kGExcHecriMiIiIiIiIiItVMSUUiUp2uwf3SHpOaSvOH7sOkVdAaQRLOqP1ZYtXKIO3uJ0kZPso7+ydwOe6m6ZLtOOs3wDhc5aLxwJc7GKWIiNRcbxNMEjA+H2bQGYmPoNVemMyG3pnt+d4VTT3gQ1yFk+eBkbj2VA+Vd5BUu6tiLdjZr0S2Lttu9rM3vMPRRLZYi24G8J13wjf4EkxK6c8cm/Am4u2ensL9Obi2iR37gQn7VdAG4CziV7VpT+C60lFeFqZhW+/6pbjKnCIiIiIiIiIishNQUpGIVKctwJmhQdo+XWl0wz+SGI5E5fN+K1BSUbXy+Ui74T78+/fzzn6Gq050L7rBIiIiFSsC/q901P0IaNklMVfeY1/MhH/ju+iZyJU/4nD2WsDTuLZJkQ7Ftbm6CWgeh2tJ1ayINmmXL8JOiWO+13czsNmbQqNawKmVOMoCN5azPomybWJ3NxuA0owt03pfyM/2rjcE2sTxehOBNACbnwOpGd61d/C0cBQRERERERERkZpPSUUiUt0+AO4PDRqcPYH0vgckMRwpQ+3PEiYw9jz8fQ/xTr0MDAI2JiciERHZSb2Ka5npqhWNvQPSMyo4ZMeYoy/Cd/4TmD37RS7dDszcwdMfiau+dEI5ew7AJY/8iqt0YnbwmlJ5NwKvR07aWS9CUX78rlJUAPPf886cQ+U+z28CewPZUdaej0Nku4I1oRdm/xMxJ93hXSsGcuJ4rUNLXxXmeqtG5QEXoZ84RERERERERER2KkoqEpFEuIrgjS+Aprf/XzlbJdGMKhUlRsMmpIw51zvzFjAGyE1OQCIishMrBi4h+I3bNGoF/UZW39W6HYo5eEzk7M/AYbh2tzuiFa6lW2mlFJtXbhem2rjqfqfv4HWl8nKBk3DJX9v4AnG/kJ33lnfYFW+CSvl+wr2v8loJzN7xqHYJa70D40/xDv8JrI/TdZrhPm/uOpmNvGt3E5+qZiIiIiIiIiIikkBKKhKRRKgHdAgN0vbphq9+vSSGI2G8SUVWSUXVJXDQIExqami4CjgNKEleRCIispN7D7grNDC9jwFTDT/e+VMwR1/knfkBGIGrDPNJHK5wHMFWSQB25guw5vfKHDc2DteWqglPCFn8WfyvsH459ue53pmJVTj6HeAJz/jf6L1WyLO4JCuvVbhErHg+8TGe6L9n2oRLBhQRERERERERkZ2MkopEpLp1B77A8+9N7hfzKdm0OXkRSTglFSVGg7AntT8DspIUiYiI7Dr+SzBpwjRuAz0Gx/8KA/7mKiE5xbiKNW8Qv/KG2yoUbd2A3fQXpu0+lTmuME7Xl8rbL/TCbloN2Zuq5SJ27mve4fFA28oeCpwFdAN6A/fEN7Kd2jqgJ3A5cCHQC9gDeJH4/V0+FLg5xtq9gH4AFBERERERERHZCSmpSESq03BgDp4bAZufe4kVx49KXkRShjEm2SHsHgoLvKMOsbaJiIhUwR/AK6GBGXwW+PzxO3tmQ8zhE7wzD+HaTMVTceiFyWyI79hLI9ct8FyU4z6NcxxSsY6lr3KqMTf658+w61eERj7g3HJ2R7MI+CquMe0a1uKSex4EvgaK4njunsD7QGqUtXXAf+J4LRERERERERERSSAlFYlIdTC4p2DfBjIBbHExa6+7mTWX/gMK9WB5jaKkosQIv8m7JllhiIjILucmvNWK+p0UtxObw0/HpGeEhpuJb5ukkLQK1g1lK5xsBB6phlikfAtKXzVqBf6U6rmKLcF+9rp35hygdvVcTOLgTOBzYn+ObgW2JODeSMQAACAASURBVC4cERERERERERGJJyUViUi8pQJPAnfjbgJRvGULq8adyaZHn0xqYBKDcooSwteitXf4XbLiEBGRXc5i4KnQwAyaAIGK8nQqqc+x3tGPwIb4nDhMRgXrD1O2OtKj1RSLlO8jIBfApGVAp97Vd6X572Lzc0KjhsBp1Xcx2U4NgLuAxwlWKLK2BJsT1hbvV9zfYRERERERERER2UkpqUhE4qkxMB04PTRR+MdyVgw7kZwPP0peVFJ51iY7gl2S/7BhBI4e6Z3amKxYRERkl3QNkANgMurD/kN3/Iyd+2BS0r0zL+34SaPKjjJ3MtAJaAlcANSJWH+/mmKR8uUCU0MD0/OoarzSFpj/rnfmEvT7i5rkKFxC4xWhCVuQA3OegfRM774bgAJERERERERERGSnpV/KiUi89AC+BAaGJnI//4LlRx5LwU+LkxeVSDLUzoB6DfDt3Z2Uc64g7Yb7IncsSUZYIiKyy1oLPBMamH4jdviE5piLvcNfgP/t8Emji9YW6VXgE+Ae4CxgNeDNfL4deB1oVk0xSWwvlL7q0rdaL2Rnv4wtKQ4NOwPHVOsFpbJOAd7DPVACgN24Evv4WMhsjPEFQtO/4v4ui4iIiIiIiIjITixQ8RYRkQq1BWbheYo86+VJrLnsGmyBHkyV3Ydv7+6knH81/n32L2/bE8CbCQpJRER2Hw8A5wGYll2wDVvChlXbd6aWXTDNO3pnRgFZOxpgDCUx5lsDo4P/WWA2sAKX0DAguKcn8DSuNdtkgtWapFpt+zoozC+76g/AwWMxTdvB5jXYP3+BFYtg/YqqX2nDKozP7505H3in6ieSOEkDJgJ3AH4AW5AL817EfvEy1GkK3Yd5998OFCU+TBERERERERERiSclFYlIPHTFk1CUv+gn/rrw8iSGI5J4/kOOIvXauzEpqbG2ZAH9gEWJi0pERHYjP+LaEXUBMP1Pxr737+06kel2qHf4GfDVDsZWngaV2GPwVMP0aA/cHHy9FDgM+CNOcUl07UtfRSat+VMw4+/BeCoYmeD/bfZm+O0r7OLP4efPYPOaiq+UlhE503C7Ipbt4cN9rrfiEoPG41oRln7+bc5G7MuXwF+uAKcZNNGbBLYEeDaB8YqIiIiIiIiISDVR+zMRiYePgG9Cg5QO7Ujr2SOJ4UiVGFPxHimXb99epF53T3kJRQD3ooQiERGpXg+Wvup2yPZ/j9+zn3dU3dX1MuN0nvbAv+J0Lomtc+mriOpD5vgrwhKKwtYy6mH2PRzfiGvwXfMu5oInof/JkF7Op7//yMiZc7czZqmak3Gty37BtR5ch2tFuC2hKHsj9pXLShOKaN8H0zHs341/AIUJildERERERERERKqRkopEJB4KgBNwv3DGl55Oi/89ir9pk+RGJZWjpKIdk5FJ6tV3YQIpoZn1wBBcS5aJwM/Ah8AjyQlQRER2I28QbCdmGraErgdX/QwZDTBtunpnpsQlsthyI8ZHAGF9RO2apWEb7HcfUfKfcdhPnsX+GlZE6UTg6OoIUgDoDZwdGtj1y7etHHgCps9xkfvfwFXPKsO03QffcZdhrn0PM+JqaLtP+IZAKmbAKO/MrcDXOxC7VE4v4EWgXbRFW1KE/ep17ONjYPXPpfPm0PO82z5FrX5FRERERERERHYZan8mIvHyB3ASMAPwp7RsQYunH2HF8aOgUA+p1myepCJrkxfGziiQQto/H8bXonVopgg4Bvg8OP4WeCgZoYmIyG5pJfA6MBLA9BuB/eHTqp0hvErRCuCHOMUWy9KI8T5Aq9DAZm/G3jcG2+tozEF/g5Ii7Hv/gU2rsasWg/HB+Y9jtiWlPAFcArxKMMFK4iId9z6/LoAtKoCFM9xKq70wwy/27v0KGADkBcf1ce3rjgSGAh1CG01qLehzPKbP8dhVS7CfPAvfzYBeR2MySzvj5QH3VdcHJmFuAvyRkzZ7Iyx4F7vgXdgU0fauyyGY5l28M5cB+qFCRERERERERGQXYaxuIItIfE0EHggNNj/zAmsuvyaJ4UhF6px4HM0fvR8Am7OV3KN7JTminUfqP+4gcOQJ3qlbgeuSFI6IiAi4ZI5ZALakBHv7sZC1ttIHm9H/xPQYHBo+ims5lYFLnM2Pb6gApLEt+SSqkqn/hW+nwcY/o2/ofCC+M++PnP0vcH48AhTSgS9xCV8AlDx9Kfw0B+o0wlz0DKZuaYXStUAPIMYnCwPsC4wFJgCNIjfY9SswjVp7px4GLtjRD0Iq1ABYQ/Dhs5LXr4FlX0N6Xdi8GmxxlEMM5qznMI1LO6O9hatgKyIiIiIiIiIiuwi1PxOReHsIeCo0qHfaGOqeOjqJ4YQztWuR1n0fUjp2wGRkJDucmsHn+VagPNNKC5xyVmRC0fPADUkKR0REJGQOweo/xueD7oMqf6TPD136emc2A/OArbg2ZdOBveMVaFCtCsM66jzMFa9BhxiJz0vmYRd8GDk7Hkjd0eCEDNx7+9KEIrtwhkso8vkxo2/1JhQVA6OInVAE7t3mQuBKoDVwKvCxd0NEQhGohWyijMNbzXrJLMjbAptWxkgoAroO8iYUWZRcLyIiIiIiIiKyy1FSkYjEm8U9FT4vNNH0jptJP7B38iICUjq0p9kD99Bh0de0nfE+7T7/mE6/L6Lz2j/o8PO3ZAwdktT4kspUvCWhAin4+x+O/8gTMB32DE96qiF8e+1LypmXeqdmAmeiNisiIpJ8FpgUGphYiTjRtN0XU6uOd+ZKoE/oVMAgXNLS/jsapEfjymwy/gCm28HRF+s0gjW/R85WmKwkFaoHfAicEpqwv32NffseMAYz8npMh57e/RcCH1Xh/HnAc8DhQHfgBVxiktdK4LvtiF2qrnPYqGnH8nfXqocZHNb27k2qv12iiIiIiIiIiIgkWKDiLSIiVZYPnAjMB1qYlBRaPPUIywcPp2hVeQ8ux1+tAf2pf84EMgYdiklJibrH37ABLZ99nKI/V7N64qXkzpyT0BiTrtiTB5PsBKOGTUi/+0l8HfYMmy6a8jrFn3+Cad0Ou3IZxZ9OTVKATsr4i1z1B+c3YATV0xJGRERke8zEJQRB670qfZDZq39ltjXAVZYZC7xb9dDKKKzsRvvrV2Una9fDXPwCJrNB5Mp7QMEORbZ7G4lrIVfansz+vgD71MVQmI8Zfglm/6He/c+xYxWFvsN9Td0A/OqZP3MHzilV8wJwNsEKX2b/Edgpd8TcbPqOwdQu/XuXA1xR3QGKiIiIiIiIiEjiKalIRKrLKlxi0adAaqBpE1o88xgrhp+Ezave3At/s6bUHXkCtQ8/lNoDo94cKwTKZBgFWjSn1aTnyZ78AetuuZ3C336v1jhLr7tHGwLNm1G8dh2Fvy+DksQWu7ElngfCTXKzitKuvadMQhFAYOgIAkNHlI6Lf/iG4k+mYHNzYOsWAEyb9uDzYZcsonj+HCisnvuI/iOPx39gWKWEC4B11XIxERGR7bMg9MLUa4qt0xi2VOJbVYykIrtmKfaT5zAjrsH4AwB1gXeA13DfB9fsQKwrgS2At0RSDnArrh3Ttqyopd+WPbrH4GgJRe8G40qEFFyrtYNwbefuA7ISdO3qMg541jthv3gb+9bdUFyIOep8zIBR3uWPgbOITyPd33CJTOOAH4EP4nBOqZzPgfOAJwHY82CYcidRP63GD/uGJZXdjPvciYiIiIiIiIjILkZJRSJSnT7HtUJ7AiB9v+40ved2/pp4aflHbSdTuxb1Th1Dw0svxN+gfrQtfwDXAa/jbgA1ArrhnuQfCGB8PjKPOYrMY45i65QP2PzkM/jq1CGlSycoLKR4/QZKtmyleMNGitevx1evLr6MDEo2Z2ELCihas5bivyq+r5bapTMZQw6n7thRpHbsUDpfvGkzObPmkPPxTHwZGRSvW0/uZ/MoWrlqh/98YgqrVJS8VmOm45749+9bqb3+bj3xd+sZc91u3kjBQ7dT/OHb8QqvVODok73DOcC0uF9ERERkx6zAve/ZA4D2+8HC6eUfUbcJpkXnqEv22w/hq/exOZth7O2YQGpo6STgMOAi4CW2L6mkmPBk71VAP+Av4LTSGH6cDbllc3VM3SbRzjkRWL4dsVRVc9z7Sm821vDgf4ktzxk/o4H/hQa2MA9mv4Kd9gjYEhh0Buaw07z7vwJOIL4VGzcA/4nj+aTy3iCYVGRq1cNmNoKtURISO/bDZDQMjQqAxxMVoIiIiIiIiIiIJJaSikSkuj0J9CT4tHjdv40g/7vv2fToU3G7gK9eXRpcdD71xo/BX7dutC2fAncA04Gi4Fwu7inypbikkFOAa4DSMjmZQ4eQOXRIlePJ/2kx666/mZxPZpVZSz+gF03vuY20rtFbkfjr16PO8GHUGT4sbL7orzUU/rGMwmUryHrhFQr/WEbRipUALqlp69Yqxxlii4sr3pQApm5YlYF8IB2X+HUZcDBQH5cEVvG56jUg9cpbyVs4H/tX8M+p6374eh6IXfYbxQu+hKxNVQswJRX/oGPw79vLO3sH8XkqX0REJN5mE0wqMu33w1aUVNSlnMTez15z//9xNvahM2H4xZgO+4dWG+HaJo3CJRlVtVTgcbjv+SGnA8uAY4AuoUn7waNRD7YrFkXr3vousB/V+z16CC6RqmHEfC/gG2AMMKMarx9vPuBaXMUZAOyWDdhHzoF1y9zEYePxDTnbe8x3wJHA5sSFKTEEgNpAC6Av4MdVLFsHrMVV/6qM8Mw9nz/qJtN1kHf4Ni4RTEREREREREREdkFKKhKRRLgE2BeXGELjm64lf9HP5M6as8MnTunUkZYvPElqh/aRS9m4p6xfBWZR/k2lQlyLh+eAvwEPUfYGUaWl7dWFli8/w+99DqFo2baH5NP79KbVay/gq5Ue7bA1QGPcDZ0yAs2aEmjWlFp9elP3pOMBsEVF2Lw8fJmZFG/YSPb0j9n69nvkzvuSks1V6LpRWLjtdYwbBwmRn+cdBXA3RD7HJXuF9AQeA/bGPRlvcS1YAsCvgMHdnMQEUvDtuQ/Ff60kcOI4Ui+8rvQktriYkq/mUvT2ixR/9xVsibgXlpaOb6/u+Lp0xbRsi6mdgX/AYEztjMio/9jRD1tERKSazMQltsAe3SvcbDr38Q7nAQcC2LxsyPF8n1z1M/ax87F9R2CGTcSk1gqtDAeewrWtqkoyz4CI8ZnAJ3irFP32DaxaHP3oRbOw2ZswGWFVKrsDDai+RIeOwJu4JA4X4+Y1mHpNQ8NmwIe4apj3UvMTkDOAF4FjQxM2ZzP2iQtdQpHPjzn2Uky/k7zH/AQcAaxPbKgS1Ba4GDga6IR7Dxyrj3E2rkXfa5U4b/gPKiUxHj5o2sk7eqMS5xURERERERERkZ2UkopEJBEKgZHAIqCRCQRo9uC9/N6jcq2uovE3akija6+k7pi/YXxheThbcO3W7sS1zagKC7yMe7o9svTPG8H1Jrgklia4J/M34X5R3wrPL+GN309at71Lk4pqHXwQLZ99PDKh6FvgHeBp4HcgEzgU92R+b9yTxnWC/5VhAgFMZiYA/oYNqHvyidQ9+UQAitatJ2/+1+R9s4D8r74h97MvsAXRCweUZGdvO2dqKgRSoKgw6t5qFQj7luQHPsPdVDyObU9NfwMcUM5ZMnFPy/sATMPGpN31BP4DBoZtMn4//j4D8fdx87a4CHJzsFu3QF4OptUemJTUyHNH+jfwfSU+MhERkWTYlr3dojNkNIDsjbF3b6s8BC7B5EAAk56BrVUHcrdsW7UWPnsN+/NcGHENplPpt+YxuKpFU6oQZ3bEeCSupVrj0st99X7so20J9uYj4fJJmCZtvSvjqL4WWtcSTCiy+TnYyQ/C569jDzzBJd+49nAGuBs4HJcQ/SFlP9aaYADwX2Cf0IRduwz79KWwfjlk1MeM/qf3cwywGBiES4qXHdMTGAF8jav4E6uEaCYwFJdAtA9wIpEJQLFl4Cp/Viap6JLQC1uYDzkx/s3wezsW6vdKIiIiIiIiIiK7Mv3yR0QSZQ3uBtWFACVZW8rfXY5Ai+a0fPEp0vYp0wnrVlwy0faf3MnGJbMcGhw/g3u6tzzjcclBpQp/XQpAxrAjaf7I/d6EokLcTYHIlhhbgfeC/3m1wD0J3hfXpq0BFQg0bkTmUYPJPGowAMVZWeR8PJP87xeRv/B78uZ/Q0lWVml8XrVe/oj86y+g5MeFFV0mrgInjI02fSjwL1zVgsrohqfaU8rEazH+MtWXNgP1vBPGH4DMupjMqO3zvCyu1cm9uJs/IiIiNdUiYAXQ2vh82C4HwjdTo+9s1h5Tt3HYTOiFLciDgtzox21YhX3zLswVk7yzR+AqP64BJgFfVhDnj1HmtiUU5WXDNxXnKNknL4KJT2EyS4tN/htXefIm4l8pqEPohUmrDa33xjZsCfPexC7/AcbdiWnYMrRlaPC/Alyy1RJcAvvMOMdUVT2Bu3Cfr1L2xznYV250SWTt9sOMvsVbgQnc53M4VU/el7JOwCX6hN67zgVuBDYCzYHOuASiVsBAXHLQ9vqhgnUDXA/8X+nML7NjVypa8R00bBMaXYl7MKMo+mYREREREREREdmZGWtreiV2EdmFXA/cDLDl3cmsnnBelU+Q0rkTrd96iUDTsJsb2cAEXKuzeOmDSxLKAk4Glpe/nVG4ZJNSa6+/hdSO7ak3PixZJgf3ZPG07YyrNlAf90v7FkAKru3ECUA/3I2h+jGP9ihasxaKiwm0aF5mrXjBl+RfHDXJp9qkXnM3gcHHRlvKofI3UdoAy2KsrQbGAh8DR+KqDPQjRss53NfVPNxNmE24G7OziH7zU0REpCZ6EZeQTMmHj8H0J6NuMkeciRl8Vmj4Ey6ppzGAnfMq9p17Y17AjP4npsfg0DCPstVTLsEl+MRSB/e9O+r7F7twOvaFa8s53KNxG8wZ93sTegBGE/EeLQ5uwiV/hLFLv4Vl32N/+RJz2HhMh57lneNu4CoS3xotBVe15ubg61J25guu6pLPjxlyNhw8BhPeGvdl3HvuGFlmUgWpwC+4967bxeZuxs56Cn7/EoqLwBZD7QaYkXdjMsKeQfgPrp1wToxTpeCqVZ1Reu5Nq7DPnuNaH/Y4BtNlIKz+GfvZc1CYB833xHf6U95zXAHcs70fi4iIiIiIiIiI1FxKKhKRRHoBd2OHDf96gPW3V+33zhlDh9D84fvwBVt+Bb0EXEzy2y8MoeJEoc241mazqzEOAzTFtU87AJccdQjBFh1VUbJ0MfbPFeDzUTz3Y4ree8W1OwHwB/B16YotLMT+Eoccm7oNSH/kNXwtWkdb3YBrNVdZtwFXe8brcC1QPqRsS4kArmpRI9xNzbrB8Z/AV+iJaxER2bndh3ufhJ07Cft2lPdeqbUxV72BySxNQlgEdAWwBbnYO0+ErRuin71FZ3wXP19RDMXAvpSflDsS956uTHnBkjuOh41/VnSNbeo1xXfNu96ZBwlWyoyjDNz7voNibbArf4Jfv4K6TTD7DYm17XHgXKAkzvFFkxK81uVAWJ84u3QBdtrDsPRbaNYBM+pmTMvO3i2FuKSR+0l8EtSuqD0u0S5qNn0sNm8L/PE1bP4T++ePsGS2S/DxMAPPxAw4PTQsAU7F/QwWy37Ak0Bp/0O7fhl20uWQs8klKLXpsS2GDcuwk++E5QswQ6/C7Dc8tJSHe7hhDiIiIiIiIiIisktR+zMRSaS9Qi8Klvxa+aOMocHEc2h07ZXeVlYWmIh7qrYm3Nz4EHdz4DSityf7DtcKpLqr3FhcO4r3g/+Bu/E1GNc+bV9cdZ5oMU72rvnad4H2XQDw9z0U6tan6IVHMO27kHbbf/E135YAlHf1OZR8/sn2RZyWTtrtj8RKKAJ4rIpnvAZ3o+9oXIWhp3FJQtEU4So9ra/iNURERHYGa0tfZcQoZDhwlDehKAf3PqIrAN9Oi51QBLBH96jTduOfkJaBqV0XXKLQCWx7D1QLl+yQ7zlkEq5a0ZO4VqbuPBtWQfbm2NePZvMa7MLpmO6lXb1OBG4hvgno2bik7aHA7bgWVWFMq72wzTthX74RNqzEHH565BaAs3B/FudRfe9n03BJ7Tfi3geWspvXYF+/DX7+DIyBAaMwR52PSUnzbluCq/T4RTXFtzsZgqtONQBXqQgAO/817B9fYfY7Ftr2xKSkY3OzYPXPsPY3bNZfsP4Pl1BUXFD+FeqFVSCdTfkJRUcBb4fFsnwB9vVrID0TM/a/mKYdww4wDdtixj6E3bgC++G/octATO364CqUTcZVA/28wj8JERERERERERHZaahSkYgkig/YQrBizrLBw8n/dmGFB5n0NJo/9iCZQ8Oe8N4MnA68WQ1xxsO+wBhgEFAAvAI8SvjNs2QyQCvcU9K1gFW4Fl8WGA88FdwTxhbkk3fmcaReew/+PcvcOyP/5kso/nhylYNJufhGUo4b7Z16EHgd92e4CrgLd/NOREREquYc4BEAu2Qe9omLwldT0jHXvIOpXS80cx+uBVJdgJL/XQY/llNgsU03fBOfKjNt//wFatXB1G8WmnoOl+g7GJdkXoRryXR5xKFpwL3ABaXnWv0r9pkrYMPKCj/YUh164TvnYe9MNu7P4VZgY+VPVGkGVx3yYOB4oH9owZYUw5xXMQNPKe/4b3FVgN7FVViMh464P99RRLSWs8VFMP897JQHIXcLNG6LOf4KTOc+ked4EJcEE6ttllSOAS4iShtAu+YX12YsouJQVA1aQ5v9YMsal2BUEqWgZt+x+A4LazE9H5dQFvkmPYBr71yahWS/fQf7wb+gY3/M0ddg0sOqwxbgST4CsEu/wM59FvO3f2ECpUtZuIcUFlX8AYmIiIiIiIiIyM5ASUUikihtcE+gA/Br+26UbN1a7gEp7drS4rknSduri3f6D1yrgIozkmR7dcK1QKgFtABuwt3ko3jBl/h7HBDzwLzLT4fcHLAlUDsT07wVpn5DimdPx/5RtjqVr8s+pP13EsbnC009ApxPzag+JSIisrM7E9diC/vb19hHzwtfPeBYfCddGxptxSUhvQBg83OwtwytMNnBd+e8ysSRT/C9RIRPcYnET7ItccUEx6WlfWzOZuybd8HC6ZW5ljvJ6H9iegyOnF4L/B14mep9r3Ew8AYx2rfarHVgSzD1mkYuFePaRz0MvEbZtq3lSQOG45LCOgPtiNJOzn7xNvbDxyFrLWQ2xBxxBvQ5HuMPK2K8GvfnP7UK19+VHY1LdtszOB4MVOaLsT6uotV4XLJZGPvN29hZT0D2BmjVDVr3wNSqi83ZBCt/gJXfU/pl2v80fIecve3Yreth6RfYFd/Bqh9gzS9uIS0TM+FpTP2WkZe7F7iSba32ugA/hxZLXr4Eln6BGTABM/CMyGPvxLUWPhj4pDSGP77GvnghdOqPb+Td3v3P4qq3ioiIiIiIiIjILkBJRSKSKEfgWoRR9OdqlnY/sNzNtQYeRKuX/4dJDXsgdhowGiinD4dUg7G4CgPbzRYUUHDX1RTPeC9sPvWG+wgcNiw0XAT0xD0JLSIiIjvuRlxyMHbBh9gXrwtbNMdfgel3Umj4NK5y4T0A9ue52KcuqfAC5qJnMK32Km9LNq4Va3n+wrW1fS049gG34arklLLLvse+eSesWlxhXPgD0P9kzOGnh9qwec0Frgc+qvhE220f4GOgcbRF+8t8TKfe5R3/KS5JaEs5e1Jw7d1G4lpr1Yl6rYI8+OET7NxJsOx7SK0FB4/GHDwWk1Y7cvsbuOSyeFVM2tml4drkRn4NH4YnwSaKOsACXGXQUjZrDXbG/bD0C8jPhlr1MMffgmnXq8wJ7MrvsZOuckk7x1xbZj1s75LZ2HdvgfytUK855ribMa26RW57C5d0tgGYgEvew25ciX36dMzR12L2PMS7Pyu4P/T30uD+7vQFsN9Nwa7+CdP+QEyn/t7jpgDDEBERERERERGRXYKSikQkUSYCDwDkzJzDyhGjY27MPHYYTe++DX/DBt7pxUAPoBK9ASTOauNuKpR52r2qij54i4IHb4MtmwFIf/VTfE1Kuy6cgqscICIiIvHxAO49GHbWS9j3wrsvmaEXYA49NTR8HMjFtWnCznkV+869FV+h84GY8fdiAimRK9/jElRa4iomAWDXLcc0bhPrbBfgqvSEjMIlPpRmvtjiIuzUh2HWi1CZn2VT0mDAKMzhEzCp6ZGr1+ParFZXQvPBuOSg7fUv4LIYa8Nwn7MyJWlC7PqV2I//Bws+hIJc8KdAn+MwgyZg6pQpovQbrhrNJFQx0isVWAE0iZjfiEuuiZXhVpq0E2KXL8C+eZ2rTBRkRt4dmZBThrUlGFNa1bOYGO/J7Ybl2NevhnVL3UTzPTHDrsY06+zdtgmXJHQs0BTALp4F9Vtimnb07vsJl7D2o2fuVOCZcoN18R1F5So5iYiIiIiIiIjITsBX8RYRkbgofYS94JeybbAAAi1b0PzxB2nx5H+9CUXFuCfnh6KEomTJAZZUYt/vwK+41iJrca3q5uFp3REYcjzpD76CadMBwNv2DNyNw2itUURERGT7ZJa+ys8ps2hzw4rg1Ae2lfTJK79Nbakl87A3Hk7JvaOwW8OKSe6Da6F1WNj+rLVh17XFRd7VBwlWQQl6GZdU/k5owvgD+I6+CHPmg9AwZj7NNoX58PEz2PtOwS6aFbl6C66l7t9xLa1a4aqxxMtM3Mc/GyjcjuOHxJg/CXibiIQiW5CL/fYDSp69ipKHzsDefRJ8+Q6UFEPfEzFXvo7v+CsiE4rW4z7+vYFXUUJRpAJcck2kBriKPAfjEvdOY9v72NpEJBQB0LAt5uwXMcdcB6nBPLmWe3t3bMb93BMmIqGoO+7r9MLg9deX7mvYBnPqo9AhWBF29c/Y58/H/jLHe7r6uCS/0t57psvAyISij4H+hCcU1cJVD6vIeJRQJCIiIiIiqgO39gAAIABJREFUIiKySwkkOwAR2W1sSypaUjapqNaA/rT43yP469XzTufifkE/qdqjk/IYKr7B9gDBygZRdAZeAnoB+Nq2J/3hV8g79ySKPnqflJGnh/YdB8zA3YCsTBLT/7N332FSVmcfx79ndqkrRbqgYAEL2HvFXrDEErvGklhjiSaxJJbEqDEaExN7T6x5LbHEGsXeS1DsFVCKqIAU6bDn/ePM7M7MzjZgdxG+n+vai3nOOc8zZ7bo7M5v7luSJNWtKlQU59QMFTGvoEBPG/LedBJnT2/4vcybA9+MhNf/A9sdkT9TsyRR937EvxxIbN0WJo6BbivA0VcSOveC9HzjSmATqkPJn5GeI2wP/BNYHkitw065g/jk9fDKfTBvdt17nDSOeMuviSutSzjg94Rll8vNrAbkl3CaSWr99TxwKykgUdmwT0RJzwJbAW2BjUmBjYa+uWdM3u1upAD2z4B1c4Nx3hwYPpT4zlD4/M0UosppWwFbHEjYbF9Chy7F154JXEaq1DSlMQ9oKfQisB012+WtTGElqpOALYFjSl0kVGTfNLHWEGjfmXj3aSns177qzRQHkL4uR5Y6n/R70QfZ21dmPzLA2aQ2hyG0qYD9LyX+9y/w1gMwZwbx3jOJmxxM2PwwQpv6OhFyUfZ6xd/zJ5LCTKVcT6pM9jrpDQWSJEmSJElaglipSFJzqQoVzf30s4KJ1musRu/bbywOFL0ErIWBosXBCaQX3Eo5h1RR4JQ6zv+U9OLgebmBsExHWh16HHNvvIz5bxRUDdgCeDd7PYOvkiQtnLxKRTNrzs4tCOK0J///vYUVhBqmVQMKDn76OkybkAJFABNGE//vd/krNgCOLnHmU6QwzX25gdCmPZndTyGc8W9Yp7aiPkVGvk38+2HEV+4lVs4vtaIdKQx1CPBf4GVSGGhhzSIFlXYnhTCeI1V2rK0k1DukENXvgFeAb0gh7upA0YwpxKuPJt59Hnz0UvXXM2Rg/SGEX91FZqdjigNFc4CrSKHvszBQ1FBvNGDNBsD+pABYncIqm8EWR0B5wc9MhtSerNhY4OfAHSXmKoE/kIJ3MyBVNgo7ngJtsj/+sRJevZ149Y+pHHo58YOniOM+KHEpfgX8lpqBom7AmbU8lIeAY0nfmwaKJEmSJEmSlkCGiiQ1hw7kvbN1zmcjqiYynTux3C3Xk6moetfsDNIfpgeTWmmpZW1JepGgNueR2nnU9w7++aR3UD+aG8gMXBfmzGb2b49n3qP35q9tQ3rn/OvAzizaNiSSJC1NqkNFc0qEigqrEXUgP1RUuQDFecpb1Tkd3xlKvP/imhMj3ya+9d/8kUspau2VNZHU+utA4LvcYOjYnczB5xOOuhy69a1/nzOnEh/4cwoXPXc7ccQw4tRva1u9CSkAtFb9F26Qx0jPdbchtaDqAHQHts6O/5gU5r4EuJP0/GlTip4PxbEfE284EcZ+VHj1NbYinHI7mQN+T+jYPX9mFnAN0J9UdWbsIno8S4vvScGu+swA/ldi7BZS8KeqNVhm8FGEDgX5o5GkMNmppBDTtaSQ2/Kkr11dHgI2yx2EslbQbcXCFbOmwRt3EUe9AYXtziLpTQR/LXHdAFwN1Ch1RXp+X1vYSJIkSZIkSUsIq0BIag6r5m5UTp/BvHFfVU30vPxSWq+0Yu4wAvuRFzxRi1gN2JBUEeD0etZmSO/eH9bAa1eVPYgzs21Y5s1lzp/PYv6bL9H6pLMJy3bNLVkPeBz4E/Cbhm5ekiRVaV11q1R7sFkFoaJOVLdWIqy8PvHluxt3b3UEkeKnrxH/dS6Urg5EfORyWHVTQkUngApS8OW3pZYCd5HaiP0GOJ4USCYM2AROvZM49EZ49tZUoaUu4z8jPlqdnY4Vy0Kn7tB1ecJGexBW2zw31ZYU9Php3RdcYLl2a89njweSghwFbwKK0ybC208QX38AvhlVeIUV1yUM+TlhxXWKrz0buJgUEp+wqDe+lJlECoLV5d+k79GTSAGx0aRgWO5dFW8Db1EzpDMUyCXE/kZhS76GWrbgaMr4wtmyVoTdzyEM3D5/tJL0M3R9ieuVk4JN+9Vyf5eR998MSZIkSZIkLZmsVCSpOVS1Ppvz+QiIEYBOPz2MZYYUtKo4BwNFLW1l0rurbwc+BnZpwDmlXx0srerFzcpXny2aaU3lN19Rwuk0oI2EJEmqYUbVrXYda87WrFT0cO4grLUtbHckZMoafGfx+duJU2oWc6n89x+JN59aa6AIgGkTiM/ekj+yP3VXK/yGFPQZRKr+k/Zd3orMLscTDvpDzTO69EmPafP9oF2HmvPTv4Nxn8C7TxNvPpXKRy7Pn90pu5/NSRWE3gHuZ9FVMMrpmb1+1RcsPnsrlX87lHjBrsSH/1YYKOqzOuGIv5I5/jpKBIruJAWUfoeBokVheD3zJ5ICRQBXAtsCh1EdKAL4kvQ99Gz2eBzwR2CfhdxbN/Lao8VRb8L3eV/y1u0J+11SHCj6FtiR0oEigAuAn9Uy9y1w4ULsV5IkSZIkST8QViqS1ByqQkVzP00dzVoPXJ1uvz8rf81/gYuad1sqYQtSdQDIezGL9PV5G/g1UPzq4teNuH5VyYA4eWK6UVZO61N+R/nu+9d2Tob0bm5fDJMkqXE+J7XZInRboSrtUGV2QUu0zsCLwGukll9kdj6OuNb2xP9cCiPfrv/eJn9NvOxgYq9VCAMHw8DBxJfvgdcfbNhuhz8Ju52cO1qFFIh5v56zPgd2A/YG/k5qFUVYZ0fougLxyevh09ehXQfCybcQsmGiuOtJMG0iTPmW+MR1MKK4YxXw1uPEIScSMhlIrXxPJFWQyb05Zy1SAPtvwCigfXbuQ1JIuwMpsN2H9FxmJKmV2sSie1qZ1PJ1H1IQpeq5VuWtZ8D7z9bcW6/+hB2PJqy5TanPyaPAWaTnblp0XgQOqGP+9QZe52PS17mcFM6v8aPZSL1IgcCqdtPxhZuqZ8taE/a9mNBv/fxzniYFnmprgxdI7fjS9ebOJrRqkz9/KjB5IfctSZIkSZKkHwBDRZKaQ3Wlok8/A6DnZReTadc2N/wNcDh5gRO1mNpeDFkXuAR4gdSObM3s+KOkwFFDVX+NQwZatabN+VdRtsngus4ZDnzWiPuQJEnJ91W3CgMByYyCTEAFKVB0JHATKehC6D2AcNx1xOFPEh+7Cr4rWVWw2sxpMPJt4si3obDST/2mfEMc8xFh+aqnjrtTf6gIUijjPlLr1idIrVkJy69OOPKvxIljYcwHVYEiIAUkuvSGLr0Jx15N/OAF+H4SzJtLfOEOmDQuhY5GvQ0rV4UxfkPNar9tgTMb8SgjKXD0Oik8tAMpQFVz4Rv/qRkoWmEQYZvDagsTvZzd4/OlJrXQ3sk/iO/9l7DmzvlDoxp5vXn1L6nXcqSvd//cQHzjbhiT3WrbDilQtEJBFav/IwWK5tZx3R6koGEy9j1YcYPc0ZukKliSJEmSJElaChgqktQcCtqfdTzkANquv27+/OE0rtqNms7HwHHAtUXjPYGhwKakd+WXA62AmTROdaiovJzW515WHCh6i1SxahnSC4ITSVUHDJxJktR4A3M3Yqkw0OSvia8/SNh4z9zIiqQWqAcAR5OeowHZyj8DB6fKP8/d3nQ7/uRVqA4VbVDX0hKmkPY+Mn8wdO0DXfuUPiO3ZuBW1QeDBhMv3R/mzCR+/AqhOlS0XO5GfO0BWH9IcfWWhgjAhtmPkuKUb+DNh4lP3Vw9uOomhG0OJ6xS8lPyFnAu8AgLX/VGtfsi/yA+e01xqKgLqS1Yc1kBeIX8CkVv3E0c+vd00Lo94aDLCb1WzT/nVlJwsL7n1oMK76kglHQZfp9JkiRJkiQtNQwVSWpqZcCAqqMY6f7H8/LnHwQeb+Y9qW7Xkd6JfQewUt54IFUw+CNwNgv27uqqFzBa/exUQpu2+XP/Bn5CdVDpHwtwfUmSlHQAtqw6Gv1hyUXx338kTviSzK4n5Yb6AP8BfkQKGV8FrA+puk/Y9STisssRH7wU4qLPFcQxHxKqD7chVQZqTLh4FKkN2V+z569e1+JSQqcesPcZxLt+D5+XaIsGxGf+Cc/fDuvuDL1Xg9ZtYM5sKCuHvoMI7TuldZPGwdRvYcZUWGEgoUPX0tf7eiR88irx3afhy3fT5zYEWHuHVJmoz2qlTnsX+B3wAIY8msOcgqOZU4hTxhM69cqN3EAKtY2n6b8eGeBu8gNFL99KfO66qgVh2xOKA0U3k948UN/PUy9S+7zqa5VV/enoC+CeBd20JEmSJEmSfngMFUlqav2AqrdwdzntVDLt2+UOJwEntsSmVK9XSNUB7gW2K5r7Lallx4ONvGYPUhs1gOJA0cPAQdTdhkGSJDXcr4B2AHHGFPjindpXPnc7lTO/J/Pj3+RGupBaiR0DbAQcAlxMtlJP2Gxf6NSTeM/5MGPKot31528SK+cTMmUA3UktV+vYPJBatR0KrE0KFM0ChpFCRb1IVRCHNGofA7OVFMd+RJw1ndC2omA6bLAbceiNxKE3ljw9tqmAeXNgfuFTm9irP6y8PqHb8pApJ479CD59DSYXFe3svxFh15NqCxO9TGpH+whWc2xO3xccta4gvvgPwm5VPzdbAeOA2aRqWf8CrqFpqhf9nFRBFKgZKCJTBmsVfMv/GziK0mGnQPpvxYrAZsD55FXlKnI5Pl+XJEmSJElaqoTYBO8ulaQ8u5Je8ChlLxofTFHzKiNVKDi2aPxp4C/A1kDuLffTSe+Yfil7vBtwBOkFwa7AGtnrFfuY9ILltEW4b0mSlmbLkIIMbQHiM7cQH7+6/rPW2ZGw/7mE8tb5o1cDp2av+Qj5QYbpU+Ctx4jffgHTJsHHL6cgzUIKJ/2TsPwaucNTSK1QSy4FLgDOJFVuKTadVIHx78BgUqWWVg3ZQ3z3aeLtKSwSDr2IsFZhxjrOmEI8fwhUzm/I5RquV3/CricSVtus1OwjpDDRi4v2TtVAAZhACt1Red9Z8MkLhMOvIyy3Rm3nzCY9Zz4XWFTfLEeTwkplAHHEa8S7fw0xmy8LZdBlBTLH3FF83qPZcyuBS0ithrsDHanlDWd5AT9IYaI+NG+LN0mSJEmSJLUwKxVJamrtahm/AQNFPwTzSdWkViAFxHK2o2YFI4ATSC82lpGqDzXEBRgokiRpUepFNlAEEN96rGFnDX+SOPVb+MklhIpOudGfZ6+3L7ATcCewO5DWbHlgVbuyOO4T4rXHwezpDbu/Tj1gvV0I7ToQJ4yGd5+GWd/DZ29CdahoMLWHin5OqqBYmwrgl8DJwGgaGCgCiO8/n/ZX3gYmjq0xH9p3InbvB1+PaOgl69apB2HHY2CD3QiZGvmou0jtZ+ur2KSmFYHnSW+MIKy2NfHjZ4n/OgU2PwzW2Z3QrlPxOW1I36MdgZOKJxfAEOD6qg1Nn0R86PzqQNGyfQgHXZ7fki3frsBtpCDRWvXdUeXQvxMqusBmP8kNPYqBIkmSJEmSpKWOlYokNbUupBdx2ueNTSK1qVjE/TLUhNoDQ0ktERZY5YRvAMh065Eb+obUIm/WwlxXkiQVKANGAH0B4msPEO+7qHBFmwrotyZUVsK0CTDpK5ib/d9x516En/wpv1oQwCDgA1Iw4SxSlcEaIZ3KRy6H52tUSKkpU0b41V2EbitUDcWp3xKvPR56rkTm8D/nhj8H+pe4QgC+BJYHiJPGEf/3MEyfQujQFTbdh1DRuf59LITKyw+HsR8t3EU6dCVscxhsshehVdvi2eeA04A3Fu5OtAgdTTbUE8e8S7ztuMLZth2gQw8YsCVho/0J7au+BytJwaIGJu4KHAscCHQC1ssNxjkziHf9CsZks2Y9BxAOuIxQsWxd1xpFanNWr8pr9icMPoowaKfc0HnA7xu3dUmSJEmSJP3QWalIUlObBPyT9E7ynBMxUPRDMwPYAxhOansAwPwP3qZy2Cu0OvT4Wk+Mc+cw58LTqBw9kjjyE9r86QaoDhX9AwNFkiQtavOBi0ktTGGjPeDlu2H852l2wz0Ie/6a0LowxBK/GQUfvkgcMYx47bGEC57Pn+5DCjackzc2i1S5pCoZFDr3pEFvW+mzekGgCCB07A7HXk286/f5w8uTWptVFl1h1exc2vvVR6dwFKmcDM/cQtzoR4StDyV07ln9GCvnw9xZxEeuIGxzGKFL74bstrQp3yz4uXWHiT4ETie1O/NdQIuXr6pute1Qc3bWtPQxaTS06wQbH5CbyZCqFjUmVNSKVKHq18UTMVYSH/9zdaCoR/9Uoahdx/queT2p0tjm9S0Mmx+WWqlV69KwbUuSJEmSJGlJYqhIUnP4C3AI6d21jwL/17Lb0QKaSAoWvU72/x+hc1cqx4xi9sW/oc0ZF9U4IVZWMueiM5j/3ONVY6Frj/wlrzfpjiVJWnrdCJwCDAiZMhhyIvEfp0KHboS9TiO0alPjhNBjReixImHrQ4nfflk8vRKFgSJILdYOJbUnWxdSxaAGmTaBOH8eoazwV9LQqQds9KP8oTakyirFfcaqejLFrz6rChRVmTsLXr6b+Nr9xPV2JvRcmTjybfjsDZgzM5037FE48wHCMo3PSsRxn8D3kxp9Hst0IWx7eG1hoq9IlWBuBuY1/uJqBtVf9PY1Wp1Bphw22IewycGEDt3zZ14qOLd+BwG3UuJvNnHuLOIjf4QPn8qOBMLuZ+cHiuaT2v79H3A18GNSmOkK4BLS72NPktqg5XsT6J39gI49iZ+/TBi4fW7+ONLvdV804nFIkiRJkiTpB85QkaTmMILUImMgvuP6h+4t4AzSCwpkeq9AmzMvJs6ZTZwzh9C6NZXjxxK/m0CcNJH5Lz9F5UfvQKtWMHcuAHHKd/nX2wK4r7kfhCRJS4E5wNnAXQD03xDKWkHvAcWBoi+B5ShqZRa6980/nAtsT2mdyWtzm9njVCpHvQNjPqh7d5O/Jv7rHNjnTEJROCOst0vx6j5Uh4oC8FPS8xEA4jtDa7+f+XPhzYdLP/mcO5t4/hDi8gMJm+8HA7citCtRfaZInDeX+OBf6l1XoG0FYfChsNVBhNbtimfHAxcBNwAzG3dhNbOqSkWh/bLETDlUZvNf5W0I+/2ZsOIGxed8AfysgdcPwC+Ay4on4rD7iV8Mg89fgbl53yaDdiT0HJC/9CDgnuztfUk/n3OzH5Aqj64K7ACMAz4i/X72HandcQoVjXsfhj9M3O5EQqYM0n8jBgO3NfCxSJIkSZIkaQlgqEhSc/k0+6EfvsuobseQAQitq1+czPTqA71Sh7TyLbarGq8c8THzhj5E5SfvUbb+prnhX2avcR4wuRn2LknS0uRBUkilXShvTVxxbejSJ3/+VWAzoIxUiWg3YGdgSNF1ngH6UtM8YE1SQKFK2O0k4nW1t0at8u7TxBHD4LBLCCuuU9uq6cD7ecfnkJ43ABAnfw0v3V3/fdVlzAfEu8+DVm1gp2MJgw+pmorz5sInr0LbZaBNe5g4mvjcHfWHpnK6Lg9rbU8YfAihokZlm/HAn0gtqQwT/TCMLzhq3xm+z1bJ2uDHFAWKZpMqhp1Lw6sU/YSiQFH84Enii/+AiV8AATr1grLuqcUakTBop/zlj1EdKMqZUeJ+JgP3Fo1lgJWr7nfyOFhnj1ygKOfrBj4OSZIkSZIkLSFCjBYMkSQtkIGktir7k1rbNUipVifAGNKLmmMW2e4kSRKkVkdDAOJnbxDffITMgb/Pzc0BjiW1WarMO+ck4PK845uBDsB+Ja5fSTZknBM/fY1448kN32HfNcmccFOpmVGkCi/DgD2BE0jVL9P9TJ9MvOkXMPajht9XQ6yzE2HwwTD+c+JjVzW8zVm3vrDKBoQ+q0Gv/oR+a9W2cgIpnH0thol+aAIpLNQKoPK6g2BSahUYfvwnwqpb5dYNI7UNbmA/wCrDgbUB4uwZxNuPh28+g1ZtU8Bn4wMJnXoBKfQTX7+LMGBLwkpVPxaXkUL7C2Jv6q4g+hUpfDh7Aa8vSZIkSZKkHyArFUmSFtQHwDGkF/g2BdYB+gM9Sa1QugHLZ49D7qQSgSKy644lVR+QJEmLzs1kQ0Wh/0bE1x8kTp+Sq5rTGvgHKbhzCKkVGsCTRddYA7iC0qGiwkDRjCnER65o3A7HjyDOmk5oW1E88xFwDen5ReH9TJ9MvPwwmNwEhVOGP0Ec/kT96zp0g1XWJ6yyIQzYmLDscvWd8T1wKfBXYNpC71MtoR/5rQJDyJsqeMPWXTQ+UHQF2UARQHzlNvjmc1j3R4StjyG0X7Zgcejcm7DTqcXX2Kp4oBHqSgLOJz1XN1AkSZIkSZK0lDFUJElaWHOBF7IfpbQmtVI4GPgF0LGWdd0W/dYkSVrq/RsYCuwAEAZtTfzXOfCTiwhtqkI8W5KqFW2TPS5uWbsZKZj0MrB58R3EOTPhvWeJ4z6B/z0CM6Y0bodzZhCf/gdh1xOLZ3YptTxOGE286/dNEyiqS6u20H8jQv+NYLXNCN1LdYQr6T1SK7q/A9822f7UHOaTV50rbHwg8bGL08y0gi9tn+IT67EsUPgD8NFThH3/RBiwZWOus6DPpwdR/fOfL5LapF1B7c/1JUmSJEmStAQzVCRJampzSJUGzgVuAu4Atiix7qnm3JQkSUuJCNxINlRE/43hzrOJlx0CR/yF0GuV3LqNSJUFI9C7xHVOA3YHLiL9f3wFcu1Pp00iPnUzTPiyxGkN9NxtVM6eTmbvM0o/iO8nwQfPE1++F74qzjw1kRCg39qw/BqEldaFldbPVXiqyzvAi0AX4HHgaWB0E+9UzWc0cCG56ppr7ACPXQJE4rRvyatbNDDvnDbZ46+BeUAFqeXvXFKY5+DsXIGwzfHFgaLpwPWkSlcA5wE/LTqtF/AIMBG4Eni9gY/rpFrGLwLOauA1JEmSJEmStAQKMcb6V0mStOhkSC9KHgRsCEwlhY2uoahvhCRJWiSOAm4AiFO/JV64expdZUMyx1yVWzORVOVkfeA5YJkS1xkK/BO4h9Qq6c+5iTh/Hrz2APGxK2HOzAXfadtlYIv9Cd36EieOhvEjYPznMHE0NOfvrqtuQhhyEqH3gPpWTgAeJoWHngTGN/XWtFAC6flnR1LlrQX5Zl0TeBcgVs4jXrx1Gl1hXTKHVv08VQIrAoOBq8gF8KpNBkYC6zXwPh8htR0ubqm2FbB99v46Ab8smj+HFIKq64enA+n7tn3R+BRStdFJDdyjJEmSJEmSlkBWKpIkNbdK4D/ZD0mS1PSqyhGFjt2JIQOxEtp1yF/TFTiBVJGoVKAIUrWjHYA/AqcA1wLHAYSycth8X2jVmnjvhQu+01nfw1M3t0zKOGRg4z0JWx1E6N6vrpX3AMOA/5HCRPObY3uqV2dSJZ/9ssd3AUcAs7LHfYCrgR9lj/9FqhLUWNWtfGdOqx4dPZz43VjCsn0ghehfIlX0qm2vDQ0UPQ7sSenvs/wWxBeVmD8fWI1U0WhuLdf/MTUDRZBanhkokiRJkiRJWsplWnoDkiRJkqQmdXfBUfe+6d/P/0ecNT1/5kqgIE0TS1cd6gvcR3qTyr7AqKqZrrVlKBZzbSsIR11OZp8zSwWKXiBVirkGWBXYH/gTqTKRgaLFx2lUB4oADgDuJFXqugr4nOpAEaSqmavQeIOrbk3NL0wVia/dmb9uUfwwvEz6GWvI91llLeOHkgJWbWuZ36/E2EzSfw8kSZIkSZK0lLNSkSRJkiQt2X5bcDR7Rvp35lTibWfAIX8ktO9YsCQOvYn45PXpdlkrWGldwro7w3q7EMpb5ZYdBbwD3AqcC8CUb5rsQSwyZeWw4rrQb630uXjzYcKhFxH6b1S8chhwEinYocVf/xJje2c/anMlsCsNb8HbFzi96mjE64Wzbz1I7L8Fof/mBcOVQy+H9x5LLfzmz4OVNib0GUTY9JC67utxUvBpel2L8jxJ8c96tb1J7Qv3A77KG68Atimx/h/A1w28X0mSJEmSJC3BQowtUlhekiRJktT09iZVFQIgjniLeN1xhSs69yT86NeEQakASxz2GPGe86GyRHGU7v0I+59L6LtmbmQk8CxwJEB85hbi41cv8gex0Co6w6BtCKtvASuuTajoXNfqe4HfkCrb+AvzD8ffgZPrWhCnTYBJXxL6rZ8/fChwRwOu3xp4BtgcIM6eQbx2f5jxXeGqslaEHU+BdfYgZMqIX39KvO04mDurek27joQDLiMst3qp+3kK+BnwRQP2lC8AfwDOrmPNV6TKR7mg3B6Ubkm8FvBeI+9fkiRJkiRJSyBDRZIkSZK05HoY2C13UHn1UfDFu6VXViwL5a3qrzbUqQfhzAcJmZrdtOP8ecTfbrEw+110lukCa29P2HhPwnIDGnrW4zSuco0WH9uQQj81xI+eIY56E959FObNIRz4N8JKVZWpxpLa2s2o49rtgduAfXIDlQ+dD+89XvsZHXpAtxVh9Nswb071eJsKwsFXEHqtlr/6E1LLsZHAzymsJtRYvwYuIYWMSplHCi3dClwLHFs0/xylqxdJkiRJkiRpKWT7M0mSJElacs0rOBo/ovaV07+rfS7flG/gg+dhzW1qTIWy8pZN44QMrLweYf1dYd2d81u1FZsNTAW6541NBX6JgaLFXWtgJWBF0t80hgNjSGGYl4CCVFucN5v49n9gZHWrsvjYxXDMnYTy1gB9SF/3C2q5v5WB+4G1q85/55G6A0UA075JH/nKWxP2vaQ4UPQ3Fu333aWkcNXfgC1LzJcDtwBtSFWLiv1uEe1DkiRJkiRJSwArFUmSJEnSkuvHpHZeAMSxHxGfuB6+/TK1Y5o5FebObvxVu61AOOV2Qqu2BcNx6gTihbvVclIT6rkSYZN9UmWiDl1rWzUeuAd4GngemAIcBWwKfAbclf1Xi6dNgb8AmwBleeMReBK4DHiH9P2+Wf6Jcd4c4v3nwGcvVo2FbU/CHa5JAAAZrklEQVQgbHpw7nAaKag0seg+y7LXHFh1rc9fId57JlTOo1FCGWGfCwmrbpU/+ldSZaGm+MNMIIWGLgd6NfCcr0ghK/9QJEmSJEmSJMBQkSRJkiQtyQJwE3Bkqck4bw6MGEb84AUY/gTMmNrwK6+0HmGv0wi9Vqkaqnz8anjmloXccp5WbaDvmoSVN4A+q8E3o4gfvQRfvg/zZkOX3oQdjyGsP6S2K4wD/g+4AfgYwxI/VCsCHwJt61l3GKlNWQWwHqmdXQVkW/Pd/WsY9UZa2bYD4bi7Ce065s49h5rVirYHhuYO4vtPEB++ACrnN/oBhO1PJmx8QP7QzaRQW1N/T/YGHiOv0lId7gX2a9rtSJIkSZIk6YfEUJEkSZIkLdkypFDNT+taFOfPgxH/I758L3z4AjT0d8XW7aDXKlBZCWM+aPg5WxxA2GBXIMBXnxBHDofpk6GiE6FLb+izOvRbm1BWs2t3CkO9BSuvX6rFWQT+C9xKals1q2Gb0mLsSFIIp0CcPolQ0SV/6BVg87zjTbNjaf0Xw4h3nlQ1GbY6irBlVd7uZYpap1Ei8FP5151g9vTG7X7dPckMOT1/5D+kKmKNLHe0wPoAb1J/xaJrgeObfjuSJEmSJEn6oTBUJEmSJElLvgAcA5xLqlxSpzjuE+Kzt8L7z8G8OYtmB516QPd+hEFbw3q7ENp1WDTXrfYecCWpFdaIRX1xtai+wNvAsrmBOO594ku3kNnvkvx1zwLbFp37JLADQPzoGeL9Z1fP9FmTzGHX5Y4m518faAXMiZXzCZnqbmuVD18I7z7a8J13W4lw5M2E8ta5kbeBLYFGJpMW2takzw8AceZU4rPXEHqtRlhvr9zwWGAAMLOZ9yZJkiRJkqTFVM23fEqSJEmSljQRuA64HuhACjVMIf1OuAdwCHlVTELvVQkHX0CcPQM+fY34+oPwyasNr16Ur8dKhG0Pr6tFWX2mAy9k/+0CbAK0z5sfDfyO1PaquSq/qHl9CaxECsZdAhB6D4LVtslfM4PUTqxYt9yNOOadwpnp3+UfdSJV9aoEdgb+AhQEigD46sOG7zpTRtj97PxA0Xhgd5o/UATwHHA5cDIAbSrgo2eIX/wvP1TUhxTAeqgF9idJkiRJkqTFkKEiSZIkSVp6RGAqkF9q5TngdFLrp18CVQmD0KY9rLktYc1tiZPGwbiPiaM/hBH/g0wZjPsU5swovIcO3WCVDQgrrw+rb07o1KO2vXwPXAX8j9Syam2gghR2GkWqmvJSdn/5YaGuwHFAP+AN4E5aJqSh5jUFuBT4GbAaACtukD//AfB5LecBEFbZnPjGPVR1NZs9LX9dADYD9icXvClSec/pMGFkw3e88UGE5VbPH/kp6fu6pZxOam/WKmTKiN1WguXWKF4Tmn9bkiRJkiRJWlzZ/kySJEmSlG9d4FTgx6SQT61iZSVUzoOQgcnjCV2Xr+/a3wNfkNqU3Z49lhrjD8A5JcZHk9qkFdsXuCd3EF/7F/Hpq4AIIUM4/dma1YjyxBGvER86H2Z8V+uaktp1Jhx/TwrmJTcCRzfuIotcZ2AiqSIT8cOnCWtsV7ymDbCIeh5KkiRJkiTph85QkSRJkiSplLbAdqSWU3uQDSIsgAi8A/wTuAKYvyg2p6XWIOC9EuPTgI4lxgNwH3kVuOKHTxEf/D3ESsKPfkcYtFONk+KEkcTH/wyjhy/QJsMupxPW2zN3OAlYBZi8QBdbdPYmfS5KmQXsCTzRfNuRJEmSJEnS4s72Z5IkSZKkUmaR2qQ9CqxIag21OimYsGZ2TV2tkr4GzgAeA75psl1qafM+8DG5FmjVptayPpIqBK0CrAUQ1tieOOp/8PaDxIcuIE76krDuXoQO3YizZ8CnzxOfuAxmL2AhrVAGa+6SP3IhLR8oAtillvH3SaGrz5pxL5IkSZIkSfoBsFKRJEmSJKmxAlBGajfVJju2HnBH9vbjpOpG85p/a1oKPEWqopXvNWDTOs7pCDwIbAMQx71PvOWYwhWt2sK8ORArF253vQeROfz63FFl9r6nL9xFF1oXYBTQoWi8khS2+qC5NyRJkiRJkqTFn5WKJEmSJEmNFUmBoRF5Yx8Cd7bMdrSUKdWKb0w950wFzgZeBKBzn5or5s5ayG1l9dsg/+g1Wj5QBPALagaKAG7DQJEkSZIkSZJqUeoPcZIkSZIkSYujCmD9EuMjSowVq35j1bzZda/sOYCw1x8IO58GHXs2Zn+QKcs/2hQ4HGjduIssUuXAz0uMV5Jas0mSJEmSJEklWalIkiRJkiT9UBxLaidW7KUGnFvdMm3GlNpXDdiKsPf5hLJW6XitITBhJMyaRnzjLvj8lbrvZcSrMPio3FEA/kkK79wIvEGq6vUFML8Be14UtgC6lRi/Ffi0mfYgSZIkSZKkH6AQY2zpPUiSJEmSJNWnD/AO0KVofDSwCjC3lvMCcCbwx9xAfPUO4jNX11zZZQXCT28htGpT8kJx3mziTUfApC/r3unmh5HZ+ti6VswlBXreAoZnP94DviK1F1yU/g84oGhsNulzNnYR35ckSZIkSZKWIIaKJEmSJEnS4q4d8CywcYm584Df13LeasDfgF1yA3HKeOI/fgYzJ9dYHPb8A2Hg9nVuJI57n3jHSfW3UOvaj7DJQTBoZ0J5g7ufzQReB54H3gRGAV8DE1iwykZdSEGl4g1cQ+mWaJIkSZIkSVIVQ0WSJEmSJGlxlmshdlgt818BFwAfkwI4kRQ+2gXYh7zW7/G7McS7TytdaajnADI//Wf+yCHAI8CewF7A3lXXee+/xIf+0LDdV3SBdXYn9FkLuq1E6Lxcw84rFElVhV4H/gs8RHrc9TkMuKVorBIYAIxYkI1IkiRJkiRp6WGoSJIkSZIkLa4C8FtSaAiAOOx+4ojXyOz7p0ZdKI54jfif82DmlNJ3tN8lhP5b5A7fBdYlBXAgBYruq7rW1G+IV+3NAilvA517Q4/+hJ6rQo9V0u1lujb2Sq8CdwH3AmNqWfM8sFXR2HPANo29M0mSJEmSJC19DBVJkiRJkqTFUQ/gKmDf3ED88m3iv06Gyvmw0f6E7U4gZMprv0LuvE9fJD5/A3zzOanoT5E+a5E57Nr8kR+RqgEBHAzcBmRyk5WP/xneeqDxj6gubSqg20rQdz1CnzWhaz/o0IPQqk1Dzn4VuAf4F9UVjNYGhpdYezJwxSLZsyRJkiRJkpZohookSZIkSdLiZltSSKaqfE/8bizx1mNhxnfVq7qvQtj0EOjaF9ovCxXLQlkrmDuL0Lp9jYvGWdNgzLvED4fCB0NTOAkIB19B6Ld+btmrwOakENG5wNnZ28Q5M4hPXAbvPtoEDzlPl77QvnPaX3kbaNMeMuWEFdaBAVvV1UItkoJEjwFDSNWW8s0CegJTm2zvkiRJkiRJWmIYKpIkSZIkSYuTrYD/Au1yA/GLYcQHzoEZk+s+s0tfwo6nwEobEUKmzqVxxGvEu38NnXuTOe6u/KntgGeA64Gjq9bP+I54x0kwYWRjH0/DdVqOsPf5hOXWqLnfmVNh0miYMwO69iN07LGg97ICtbdLkyRJkiRJkqoYKpIkSZIkSYuLdsAoUusz4txZxKevgmH3U7JtWU4og40PIAw+ilBeo13YVGA0sAZ5LcwAKodeDrOmkdn9rNzQSGDl7MfnucH43RjivWfWDBRlyqHtMjB3VvpYSGH3swlrDVmgc+PMqYR2HWuOj30PlluDkCnLDT1Eau8mSZIkSZIk1am8pTcgSZIkSZKUtSLZQBFAfPFmGHZf3Wd06UvY4xxC74HFM58ANwA3ApOBDsBmwKXAWgCZHU4uPuel7L+r5A/Gm49MFYIAVliXMHB7WG4N6NGfUNYqrYmVqV3Z7O9h7mz4fgLxk+fho2dg8rj6H3kog/6bF49+C5QBywKhzvNnTqby3jMIK28CK28K8+emNm9v/hs22Iew0y9zK/cgtUD7uv5NSZIkSZIkaWlmpSJJkiRJkrS4aAuMBboAxI+eId5/du2ru/YjHHo1oX3n/NGvgBOAByhd3qgP8BGwTIm5wcALpNDRO7nB+M4jxPceJ2x8EKFm8KdeceQbxLcegE9fSMGjUnr0J/OzW/JHOgLTsreXBbYAOgEVpIpO6wBDgF7V+3yU+MiF1VdYfh3CxgdAx56E5VbPv/Y6+Y9PkiRJkiRJKsVQkSRJkiRJWpycAFwJEL8dSbzx0NKrOvYk/OQaQsee+aO3AKcC39VzH5sC15LCNQDfA6cAN2WPA/AMsHXjt1+7+P0EGP4w8Y27YObUwsneA8kcfkPuaB4pVDSznku2Bi4BfpEbqPzXKTDqDRiwJWGfCwmZGkWqZ5EqFU0tnpAkSZIkSZLyZVp6A5IkSZIkSXleq7rVsUfpFe06Ew68LD9QFIFDgSOoP1AE8CqwHrAqsAEpZHNT3nwEDgTeruX8T4Djs+d2yp6/CjAQ2BzYDTiPVBGpSlimG2GLIwjH3gUb7AuZsurJiV8S587OHZUDP2vA45gD/Bp4s+o+dvgFtOtE2O2sUoGiCJyGgSJJkiRJkiQ1gJWKJEmSJEnS4qQnMD53UPnXnWD29OrZ1u0JB19OWG6N/HN+DlzTBHtpCxwJHA5sSKpodC+pMtD0Os7LCaS2ZccB+5EqC1WJX31I/M8fYNKXafGOpxA23C83PQboD8ymftsDQ6uuO+wBwvp75Q6nA+eQWqm9ArzfgOtJkiRJkiRJhookSZIkSdJiJUNq+9UaoPKGQ2HCyDRT1oqw358JK22Uv/5c4Pxm2FcZUEmq9rMgugFHA78BOuQG49xZxPvOghGvQofuhOPuJpRXZY/+lF1fn2NJ7dzSNefMILRunzs8Dbh0AfcsSZIkSZKkpZjtzyRJkiRJ0uKkklSlJ6lucUYYfHRxoOhy4IJm2td8FjxQBDABuIjUcu2W3GBo1Zaw759g1cEw7Vt455H8c84E9q3nuhXA6fkDeYGiSTRNBSdJkiRJkiQtBQwVSZIkSZKkxc3EqlsVXdK/PQfAxgfkr7kTOJWFC/q0hPHAEcA+ZFuohbJWhL3Ph0E7EZ+7jvjtyPz11wA96rjeX4CVa5m7koa1aZMkSZIkSZJqMFQkSZIkSZIWJwFYpepo6ngIZYQhZxIy5bnREaRWYpXNv71F5n5gO2AyQMiUE/Y4B1bbhnjvGcQ5M3PrugFX13KNTUitzwCI0ybkz80ihYokSZIkSZKkBWKoSJIkSZIkLU76Al2qjr7+FDbcl7Dc6vlrjgVmNPO+msLrwDbAtwAhZMjseib0WpX4bEHXsh8DG5Q4/6zcjfj1pzD16/y5W3PXlSRJkiRJkhaEoSJJkiRJkrQ42S53I343FjJlhMFH58/fCgxt9l01neHAYGBsbiDs9Et473HiVx/mr9u76LyVgT1yB/HdRwl9BuXP37jotypJkiRJkqSliaEiSZIkSZK0ONmz6taIV6Hv+oTW7XIj04BftcSmmthHwLZk27mFii6w8qbwzWf5a5YtOmfz3I04aTShomv+3LvAm02zVUmSJEmSJC0tylt6A5IkSZIkSVntgZ1yB/HTF6Fr3/z5V4AJzb2pZvIpKQi0MUBmrz8Uz39SdLx+1a2vPoS1dsmfuxmIi3yHkiRJkiRJWqpYqUiSJEmSJC0udgDaAcTZ0+HLt+D7Sfnz6wFtWmJjzeTOWsanALcVjW1SdauiC2GZbrmjucDti3xnkiRJkiRJWuoYKpIkSZIkSYuLo6tuff4qzJ8LX75FnDcnN9odOKclNtZMrgCuLhqbCRwJ5KerjiCv/RndVsxf/wBLbjUnSZIkSZIkNSNDRZIkSZIkaXGwNbB77iC+/0S6MeM7eOuB/HW/Ib/115KlEjgBGAT8AjgGWA24P2/NIcCNuYM49Wto3zn/Gjc3/TYlSZIkSZK0NDBUJEmSJEmSFgd/yN2IY96Fz16smojD8jM1ZIBdm29bLeID4HLgBmB03viBpNZmZQDx+4nw+SuETHlufgzwZDPuU5IkSZIkSUswQ0WSJEmSJKmlDQIG5w7iM9fkzexEOPyG4vXPNsemFjM7kVeFKM6YTLzrV9B3vfw1/wTmN/O+JEmSJEmStIQqr3+JJEmSJElSkzo2dyN+9RGMGZ4ONjqAzA4nF6+9EXixeHAJ04cUsuoCrAAMAdbOTcaZU4m3HQeZckLXfvnn/aNZdylJkiRJkqQlmqEiSZIkSZLUktoDh+UO4tsPphvLrU7Y/sT8dVOAXwC3NuPeWsJpwEVkW5wVi5XziA/+DiaNho32z58aBoxohv1JkiRJkiRpKWGoSJIkSZIktaQDgU4AcfZ0+GAoZMoIQ84khKqu7aOA7YCRLbPFZrMJcEltk3H0cOIzV8HY9wEI/TbInx7atFuTJEmSJEnS0iZT/xJJkiRJkqQmc0zVrff/C3NmwEYHEHoOyF9zBEt+oAhg/TpnK5YlrLoNtOucjjt0z599p6k2JUmSJEmSpKWToSJJkiRJktRSOgEb5Q7i8Iehogthq5/lr7kJeK65N9ZCngQqa5sMXfoSNj2YcPRt0GctmDk1f3qtJt+dJEmSJEmSliqGiiRJkiRJUkvZhOzfJuLMqTD+E8KG+xFatc3Nfwuc3lKbawGfAWfUtyhUdCEc+NdU1anaKcDAptqYJEmSJEmSlj6GiiRJkiRJUkvpWXVr8jhoUwHr7ZU/fykwqbk31cIuJYWtDgS2BXoAXYEBwG+A2QChdXvoPYg447vceW2y85IkSZIkSdIiEWKMLb0HSZIkSZK0dBpMXmuzOHdWfpWiacAKwJQW2Nfi7EfAg7mDOHMKoV2n3OFHwBotsSlJkiRJkiQteaxUJEmSJEmSWsorwNjcQV6gCOCPGCgq5T/A87mDvEARwMhm340kSZIkSZKWWIaKJEmSJElSS5kL7AdMLBq/Bbik+bfzg3EIMKLE+A3NvRFJkiRJkiQtuWx/JkmSJEmSWlonYAjQDXgZeAvwDxZ16w6cD2xHCmVdC9yKnzdJkiRJkiQtIoaKJEmSJEmSJEmSJEmSJBWw/ZkkSZIkSZIkSZIkSZKkAoaKJEmSJEmSJEmSJEmSJBUwVCRJkiRJkiRJkiRJkiSpgKEiSZIkSZIkSZIkSZIkSQUMFUmSJEmSJEmSJEmSJEkqYKhIkiRJkiRJkiRJkiRJUgFDRZIkSZIkSZIkSZIkSZIKGCqSJEmSJEmSJEmSJEmSVMBQkSRJkiRJkiRJkiRJkqQChookSZIkSZIkSZIkSZIkFTBUJEmSJEmSJEmSJEmSJKmAoSJJkiRJkiRJkiRJkiRJBQwVSZIkSZIkSZIkSZIkSSpgqEiSJEmSJEmSJEmSJElSAUNFkiRJkiRJkiRJkiRJkgoYKpIkSZIkSZIkSZIkSZJUwFCRJEmSJEmSJEmSJEmSpAKGiiRJkiRJkiRJkiRJkiQVMFQkSZIkSZIkSZIkSZIkqYChIkmSJEmSJEmSJEmSJEkFDBVJkiRJkiRJkiRJkiRJKmCoSJIkSZIkSZIkSZIkSVIBQ0WSJEmSJEmSJEmSJEmSChgqkiRJkiRJkiRJkiRJklTAUJEkSZIkSZIkSZIkSZKkAoaKJEmSJEmSJEmSJEmSJBUwVCRJkiRJkiRJkiRJkiSpgKEiSZIkSZIkSZIkSZIkSQUMFUmSJEmSJEmSJEmSJEkqYKhIkiRJkiRJkiRJkiRJUgFDRZIkSZIkSZIkSZIkSZIKGCqSJEmSJEmSJEmSJEmSVMBQkSRJkiRJkiRJkiRJkqQChookSZIkSZIkSZIkSZIkFTBUJEmSJEmSJEmSJEmSJKmAoSJJkiRJkiRJkiRJkiRJBQwVSZIkSZIkSZIkSZIkSSpgqEiSJEmSJEmSJEmSJElSAUNFkiRJkiRJkiRJkiRJkgoYKpIkSZIkSZIkSZIkSZJUwFCRJEmSJEmSJEmSJEmSpAKGiiRJkiRJkiRJkiRJkiQVMFQkSZIkSZIkSZIkSZIkqYChIkmSJEmSJEmSJEmSJEkFDBVJkiRJkiRJkiRJkiRJKmCoSJIkSZIkSZIkSZIkSVIBQ0WSJEmSJEmSJEmSJEmSChgqkiRJkiRJkiTp/9u1YwEAAACAQf7Wu+dQHAEAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMFIRAAAAAAAAAAAwUhEAAAAAAAAAADBSEQAAAAAAAAAAMAGb52k+GqUZrwAAAABJRU5ErkJggg==\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], "source": [ - "fig, ax = vfh_charts.charts.chloro_map(con, data, subway = True, lower = 0, upper = 200, title = 'Growth in Trips')" + "fig, ax = vfh_charts.charts.chloro_map(con, data, subway = True, lower = 0, upper = 200, title = 'Growth in Trips', island = False)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 6, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\rliu4\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1328: UserWarning: findfont: Font family ['Libre Franklin SemiBold'] not found. Falling back to DejaVu Sans\n", - " (prop.get_family(), self.defaultFamily[fontext]))\n", - "c:\\users\\rliu4\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1328: UserWarning: findfont: Font family ['Libre Franklin'] not found. Falling back to DejaVu Sans\n", - " (prop.get_family(), self.defaultFamily[fontext]))\n" - ] - }, { "data": { - "image/png": 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" + "
" ] }, - "execution_count": 12, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -156,7 +150,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -164,10 +158,10 @@ "evalue": "'Figure' object has no attribute 'rcParams'", "output_type": "error", "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'figure.dpi'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m450\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m: 'Figure' object has no attribute 'rcParams'" + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'figure.dpi'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m450\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m: 'Figure' object has no attribute 'rcParams'" ] } ], @@ -177,31 +171,9 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\users\\rliu4\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1328: UserWarning: findfont: Font family ['Libre Franklin SemiBold'] not found. Falling back to DejaVu Sans\n", - " (prop.get_family(), self.defaultFamily[fontext]))\n", - "c:\\users\\rliu4\\appdata\\local\\continuum\\anaconda3\\lib\\site-packages\\matplotlib\\font_manager.py:1328: UserWarning: findfont: Font family ['Libre Franklin'] not found. Falling back to DejaVu Sans\n", - " (prop.get_family(), self.defaultFamily[fontext]))\n" - ] - }, - { - "data": { - "image/png": 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D/bfP+af3yrkvBa74+qVgZ+fpcewEjkbeyCGwDCiBPxCkiaqYXJwPs74+8XDN3GyEqhM/DwAMTY/h/kmxNRzLlZISq7uL4DSTdbkR8Y8O13TANHt1nP0eb9kDQO6wAW/mjhi0X92KdSlpT232irFCBksP2Y99cs0Drou+fFkdfclpHkIIiEBBKIFktwnXLPvINHWDV3w9L8ha/J8AAIJIeFrL/wmlERcsJSAgnIMTQginoggiCJGxGzGpOAchWYP7Wv1ba419LzlNj/hfW9aQOTgIIXpIJYYapoREMjS3zbrZ96zjHRXTZ6HtjtpW5MwMhCoiYm+VZeie+PeoKXnZQHNjZJSHw9BefNIBALaiEkhX3xrTMe4qLcSIw0Yq/b+b2uIz4m20L5Litt3/sf2zgNKvv+WtWbOFr5oqHafNn6EJ5ZvDvI1LKPLxchCQ1o9mezNiXo5izXML/d583tOaSrf1u2lNak22p95syUxMAJqTJTfX+eWBl58Dzhk4i3xvVJLADRNM06AHgiCUwpKZAapYQCWRgRIYhhF1jMXK0pk0sfQ4FdfpYk7DGUPr2sGeCtMNcM57dTROrxB7JdO1TklBQq9Wwt6AKMWISmG6TrSgiv9NPEdBJBd5BybceHG47IgDhPfOucluhmMa1Qlx3scv+t855VpHvEnG2uIsyPHVfv9rhw+IWmQwiUI3DVBKIREBui8QrYmo5B+6H9jalR3uIVZVCeJ0CftdcTZb/NpsauyU1qBo3D4QZr1s2r+d40rojRACctW90DauAcktNLPrV8t01mQZcaYeYFdM9lddfLPDrKtPaLruuueu8IalW+XA1hoThKD1OcJNg4BQLsgyF22KyRkn/o2VIlM1ygyTggB9hvSPLpWp9nPHsOw5Y92/UFctcL57N3WlAG6YiNQG6L30CrEP1DYWhxJ0P3RGqNEDJdOlI0oEi+YLwpaTic4Sn81/6jVL9bI18pH/uNn/5W2PpWT1mJuMJSr0gkXGxV+9Et487f2ovmHZ7UIo3OLCkS3QmhNbnM0/YJRqLvwwqnCGH7zdesShRxnHrJ3DfnxyuvHDv1/dflzx2KE6qn5I3D9qdyKo62CiBIUyKuhqQjlmmGznZl3iWTJJaV994wOvWMJNns4WyDuMpeyxw1G3ekNUqUy9ZR/dsg5X11PqsIP543+Id2y7Z5S88JoLwoJFkqqnz6JGCqPpkoFrOtDLLfs9e+7Vgh4IDvYlEYYXC7XZA9lpj6oi4UAQ8cwitny/iLjLilM2Sgw1segVIgg4ffrjAe+Cpdjw8vtRb2JLtnt7JI7VYoGWYCRO9rC+BquMXvSKNzVCmzVDDF1yqnjAuUczV0nB9r8VDy8L89qqhK4FAHBkIKCGwWWL6SAgCCTWXxbSkoqdZFY7DydhTOQdOIZXL14Vww+cYsteFqmcnwNLSQGsA0phGzYAjjHDoTd6rK5jD+1W09QiEyk3C4LLAWpVQG1WCE47qFUBEcUW92SCjYoi7MccZGxYto4PeP1fAevQ/t3qY3eJ1HXgvcL4jUXveHOEsFRu1w43++HuWxxVGNTGZurIz0Hjuo2dtnHmu096yw7f33X1so/M3156L2TJcJBti5ZbJKvCMgeU6vOeeNmeiKVuqPFHgww5+cjwgbddxsqfnm7Z8t5nMb9jS1YGAi1ib7dYEU4wEsdiERkLdboOC+71QL/rGtukt5/2P3nwpQ4AyMjJ4GhOPCU0cbjgD6mArMBBTMCfmACzQHJ58zVVT+ohkTl6aLBxzndR862kIEimHd9NeV0Z88SdfjOsk4yyYpHVN8O3toKgpJDQ9Wu71XbjjI/kIU/d7ScWCUQQ0VIqEBAEEEkEtVkpczmVohce8hNCOCEErQtKZMfax465DAGIIJBF9z5pbV6+Vqj7+Xf7UbOeDaz+0+V2JOGmTAmRRfQ9Ok1zV/QKsZcdtrXOojyoCbohYhFqaobFZY86GgN1TYKjoIuIG0pharrweNb+uHbVJ+ZBd17u+P7hZ5mrTxHV/EE4iwuEsiMmmBu+/Cmum4uKIsLeQNxPs4k3/Z/588lX27pyy0guB7xaZE3BKsvQvYlNpakZ5vGoIPc0w7JxjTjoxMOxbs63EHly4glnBvyqCogiHCJHQpY9pTD9/qQGsxZMLpWytSifeWLtEmapVfu1n3wnrf3kOwkAhpx6tN7XYZc2vj4LJacdrRW5u+edaJz+nqVx+nsxGyn6x13q7+9+Qep/WZKUy9IIBPHr7f+0jPvfP/xrL7kztZtm4oSbvV/se4Ubx1VSsN5RmJuyMjmhJi9kR/QEeJovICruLtYVGUP17yvp2TOf9YV9QbbszY/Cv/13Bl30wltY9vos9DtyAnOXxb8toGj8SNSv3hC3ZW8aBvIO37/L4wx/EIocced7Q0E4B5TG3ScAEMLxzzZ4Y73prYy42kQzyRh7hwsBNQxCCLcrFvBELPvSodDLNyblVtMDoaTGiWmaLFbZR9aDNWI5Y5E6ukBLYFLPrZ5Shx0YPNCo/2VJt4Sy8feVorfZB0eMPE49DY/MKNKbqv7oSFZla0afQi+AlCTJURu9MbM1EkqFvFFDcOa7T/nBGAOlXPX46JzL723nyP/psf/GjNl9+eDzpZOnPRJSm7xY+d5nXcb2Fk8YxWpi+n478uZJV9muW/WpUfXJ9yLTYkcDedduxMDTjwYBUNVQhyGjSjHwsjNR99NvYIa5PWKEMwat2dcuBl8pyAUaa+MWQbN8HR1z9rGhzxavsgp6chuUiDMD/mYVkB1wWJXE3DhDxzDt46UJx1FLQ4eicUPXBWOiEe7MbdSTu04ZJ7Ql7j0S3ttzNl3JC5P9P970j5SkBl501xOOY2Y951957KW7x7pnbA+PKeqcXiH2AGoy+hYFkCKxN1QVdKcUtNYsN8754JmgaLUIzRVb6Re3Tna0JvLad9IZobFXnK3/NvXduLYRakEV6+Z8I5cddUBo5XufdXl8/qghoVXvfxH3gDLDGmZeeLt51JwX1O+OnRRz4ISq66Bv2IohJX2xunITvlv+O0YMGYr+Z93BBFHkEZEgPFxdK5J6D4g3iJrvfkXNtwuQOXIweOXm+MX+x7nW4ZPP8n5tt1nFYaNtfNzBKl/8iwJmdhS+yHXbxMG3/HRlwr9tE2Bxwmm1AoH4xZ4VDAzpGz9KWJQs48eh/vf4H7Rt0YKxZwSpyLMTC9MwCEl1Vs0YhDST+9ZvTolIGsEQVjz7htD3wRtDm+9/apdvcOJmWuz3BLz23KzkVt9iQHfaEVi433C2/O2PbfVrKpA1oDTo3bJt+2ha+tos6zmznvXFI/bHPnFXoM9BY4V5T0wjn9/4j7gsGEd+Dk802mjLz79Zln/4FRt8/YX62imvx+xXxeuzMfzOv0DVNGxVfdjAVXPxB7MEzllLhAWHkplhKk47xMo6Ydiho7HvURNhcTsM85eZCVVwEdQABhx7EDzfzdMtZeOZdOx5fkIFgu07nCI/OWe83aYqHnmRkiKLf+lzEjhIxLKP32fPnTnMqEw8RTEdPjzo/fC1hCvVOAeUwrO5KrbYmymIfwdgyXDitOmP+6koAgA3QipzlRQq6x9+RgAA/4YtVLnsZl/hsUcyEALZYaXa0pVy8wefWkJLVnb7+povkFKB3PzhV9b+55/olwtyoVWnJsto3DDWq332vUXsuWi1JJ7KsBOGnHyUzVGY661dtpZ++8AzDs0bpNZstxGobRSLx49sN1CZYYBSocubvnC/fSBZFUw76Dwlli83Gswwksq4uPC5N60XfzEtuPGNOZLWGD3SJtzYjNX/eRUjrzgb+597qv7D+x9LECRwzrcb3NwTElTDNC2FWebPq5cL2U4Xzrj2Mk6Wf5VQf4ypTzpOOvbEgDRyqFB/+hl2JPKeZBnZP/9sqjmFjDKDWCUBCMa/25eFdZbQ9VogxSXMtynxMNH8g8aievHqmD7gVBTKkOw2nPn2vwNzrn7Q4dm4I830xFsnceqJDAfPsrXCdydfvd3FSChF5n77sLFP3BfeeOy53Y4rJ0h9ofNfrnvYccT0f/pXHh97VtoTcMZ7xRpmLHqL2EO0Kt3YNdKRJ4oPoWDMVXbkBHbBJ1P9YV9AXP/p91KgtgGK29XhBjd1Ha6SAngrq2O22ffgcVq/ow6wJiL0AGB0YxfuzEvusp36xr8C6x6baq39dkHUmzlUXYdlf38ehxy2v5ZbF5JKs3La+XmpKMBemCuY/fL0X6obhAafF1/98D09fcKBMBbOA/T4+seqKqn2ygt2muEOWY4+BuEvPo/7fdCMDNR98KHAwgZ3ChohIX9C4YtmMLlFYU1nJk8iHDBr7IjQihffjumKSGSB1lGQi1NefsTPI2mIQUgkNzHXTXx5x7/aCX0LPFaNW84YGhcspd7VFRpSUWC7B/Loq7UNqP1tBZS+xVBTVDAmLjhLi/2egOywpdSyb7UCN86dTzfOnb/DwqAU0VIqf3jJXY6z33868N7ZN9ljZcsccNwh4WeG/inhFf9kMy4CgH9bLd4543r7hbOfD9R+uyCmz9rWpxCV85fwxS+/H/Xvks2KMZedKV141eXGm1NeEJs9zbxaciG7uA/YxvKE+sS9Ht1x8YWG/vtvTlYX31SdujIQDIcBUWAOgQoI+HZUe2r1ALXNd9MWQsBUjdKMDEASd+S/ASLfc7scRpG2mN8PMAYtkFzYpWNgqdlUHn3DGbA91C8ujvzHzb4PLrnL2dmubSXLjUs/fjEUqKzWLBku8fePv+18fSLJBWLqsCPvukvDlgljNbXRw7Ww0SMRLP7KbdTSp3CXij030m6cPQLZbkupZR8TxkAlscNIUZs8eP+8W+0XfPqS/uoRF0mav+NmI11VpZNe+nvoo8vuiXvxSclyI1jX1C2LI2twX+5bub7TNgZde776y7ufxhQIPRjCginTMe4vZxmZDqcYZAwhTQOxJV54Pfzy8y5SUAT3k/8JNF5wYVyLpiQzEz5VBbcosBX1gTliEHhO0XbRbltJsoPFr9jBHCWKfNtNMBkD5xy0JZEcAYnUAyE7dv0QECiCANbQCLOsWBl29fk7FlR3aptzjlBNAzbP/rrd703DNDsrzhIt8iN/36HGhBsuDokWmUUS3UWS7DVXbBU6E3oAsGW7se3jb82Vf38+o9MDd3Q8rsMAQO5TiNybLg8JZX11/5ZqsubNOdb6B190CjYFwx+6MbVGVgssrINad232Am4YabHfE5CdNh+htEejHFqhYkexB4BATT0CtQ36ubOeC7921P85AMDdrw+YaSBY2wRbTiZCDc3mIfdebYw84zgjVFXbRg1IS/ZFDmq10FAozAAC0WoRRIsknzfnRW/rgukOq5Rz2WkXXzvqkk4FkxBCciaOEUY+cL0OxkGESHZgzjnR6pskOSdTlweUmtsWLu9yBrHpp0U0c8Jow19VKWDMAbqw736GuHVTJBWkyVrilVt2WJomYBot1rMBGDrh26ok3tQogxAuuFxK/vwFpvrNXM1z112dPgBpphsBVcXGujps3ViO8pXL4w+9dGVB9xsia2yM73gAAqXILCoC/+kHSZV2uICilScWMjquf6v+zhcuOdvhZskZ1l8/6I4rwoQSMvvyvzk7C5ftjISKjneRo942biRyrr00wOx207NmI1383AyHZ3n7FNvZE0bDs3pDj7g+NI9fzMhMLE9ed+Em6zV6GI1e8+YESdpgz8+Bf1ttj1+LdlJc2VDD+s9PvKyc/sa/QrLTYdYsXgWQSNTEx1c/aGkq36ycOu2RcOC3Fcbvl93jVArzkDFmWKjmk++2D6Rx7z3tefPMG3a20KJOl0+e9miXISllRxygL37zI2HzD4sEEICzHdaw7LJzUw0LWx58Ji4Lu27FenkzDaK6sQGbiEMShw7R3zr7ITsoBRVFiIoMSimoKIDKEgRJAhUFCLIEwSLjjGkPq/Ls9wDGiP/d9wWYJozVXYc2UrcbflUFIQQ2qxUCeIcc6rG8OLA5GfHUUcFiAaW0nRsnshDN280GOICQpqGhoR5idiYxCtztHew7TR2yBpSwY88+Vd2eDlOxCNsqKjt1b7A2RsmYy87SfnjkBUdXKThSCY8SDGSfOA4510/y64yw+kUjzBlzAAAgAElEQVTL6S+3P+EIdrIG5RxchqbyTT1S8CNYWS1bj5hgYFdqlGmmLfs9AXte9kpXSf6uEftOCjUwk2Hj3HkWgGt6ICRunb+kg9n3wyMvWk56+EZTzs5Ev2vOC+Yctr9Y88l3Ow6wyHGbaKIidzkfV5u9ktrk0asWLot2M7ckL4kP2WGD5vG0dFPG9hTOjIFpGrROrFIqiuB19Ubw5ZfjvdyOc92ZCDQ1o19pH5x48AQU676IZc9Y+3j87SFEO3zwfORBpv/L7yn3+cENfcdToeVFqBBZaOQt54kCDIsFnmAAGNDP9DaGqLqxkkaa3cmNA4CvqsLqG57cIe6iiLJ/3hG6YPYL/p/+84q88ZtfOgg/N0zS5t9c7WbWVt72c4iD1gLlrmMOReb/neMzCOU1P/0m/PCX+x1aQ3xpMwSblZshrUcse6YbQBR3aY9CUh9Z9Eei14i9syivPKO0MFj167LEncgJ0umOxBYx2Di34wBvpWbZGrx386O2k6c94nMP6qssu/qB7TcZlSWwBNJYiErXfs3VH36NU195VFv9wVfd3mkj2azQGyLRKcTkUJt95KwZT6uezdvwxa2PdmrlufoUQKjdRpJJFEAzMuCvrgHRVNirysE/exVo3ildsdMNMvJAFYNHG1DsLCLgHDwUUsScTA+y3GiN2+cRlxPhgSANL18pqAsXWfW167cvzBObFVJuLqT+/cSMcy5UN7z/jQK0KUCzY1sAzEAQ7R5xhoGNNz9iBaU46KEb1ENvv8w//8W3xTWzvt7++TDDABVFMMOIbMQWd+1QZIYpFrw6xVv99S/i8r/c54wVmtsZRKC8rTsqlXDDALVIPe+TbQO1WjrP6reH02vEHsDWzP6lXgA9L/ZC7NlevGGVzRVb8NopVzsvnfOit+G7Bdudk9aSAjRtqY5f7OOYBaiNzSCEpGTgWJx2hFtCLWUq4LMb/m51FOZiwg0XdTlQMvuXMGF94qUVAYA4nVApBTd02CwWINAmxn7sYWFy2KkaNxgxvv7EwZ75J6C232MnxMp7IspQ9t0fGdddpPKCMt3w+Ji+qVIIfv6lNbx4qSBkZ7Pguk3E/3sSG5AYw+Z7n1QAYMxdV4QnXHWuf9l7nwvlX/xkJZTSrEF9YYY1SFZFtOZkwt+NTUShJi/EGCk+orHwmgdjFt+JF7W6niq5mVHrPnQXOdPFjPqmXapPnPF+2FG3rNfRm8S+PqO0cJc8mTuz7FmcC8Rlh+/P+kzcl0my1K4xW79iVr1qfVyDUFQsyBna337u7Be8ejDECSVEdtjoqplfWpe88oHQmkK572Hj4dm8LSX+yLbuAsYYJLsVgiTC1I0uHzp5IwaHjKULE8+jIkkwKIUBDgkcMm3xjf/pwiBGHWyai+bJ5j3XJVeqzNDAFv4ILPxRAaAIAITcfNhOPlXnt10XNMMGIUV9FMMX1Kte+UDSOvFhd8bWyVMtmDzVUnb6sXz0g9cHrPsMlqwPXBtUG70wwjpp2rAlqXZbURubIWdm7FKRqvthEUovPiW8+cPuzxh3xt6nMBxat3GXpkzY9I/nR1j7lVxj7d/n2V153V1FbxJ7Jtmtqclx3AVUjC328SZTOvq2ywLlj79kXzJ9drugfcfQAaF1v6+OSxANNYynBxwtANg+M5Addhz9+G3a8DOOVZ3F+bLa7NVFRZFfOfSClMx4fFW1yHK6Igu0NVUY9OfDULVwOZjRtdhnDyrl+uevJnxN4nBA1XVAN6DYnSAD99Fxy1Oq8f7rdjb95dT7jOtqwN5+UQIg0bxChM68LaD9Mk8ZcNP5PrmshFGHg/pXV0i173ymeOb9nlDT9TO/IPUzv7CX3n2V/7sPvnTUr0psj0JnkE4CB3oCKouRhHk9ABEFML3nMoNGo/nb+UrlM6//vfiKc5psQ/u/uUsvvgvoTWIPi8OeutqEnUA6iXGLd7OM4Quwhu9/7SBUjsFlvOrlmUn3TfMH8Mk1D8rY4bZIqdW1+affMPj0I+GTidmcaSFHXniWYTR69PlPT+9y8cDmdjKoiW9SEvLy4O/b1xQ9HpJRVEiM33+VzBce2zWZvmq3wVq5hBb/9Zpg7bQZdOt9jztBKazDBiL3iIMDfa8926TuDM50U2j45ldb3buf0nhyunBNJ4IltfuRokXY9CRylhu6198zycMY6xBttSuofPIVd/afD70jLfZ/cGSXY5dY9p26cUyzy5u/eP9RCJVvjupWETKczAimNKdbStm6YCkGHncwho4djRW/LKSfTHtDLjFkeeWMrrN3KjYlMTVSFGQ88GBQHjmcVCxYYOENdXA7LJQ3ds/lkTCzX7NKs19D/sOvh51HHBhuev9j6vvuFym0Yu32GZiQ4YR9/L7GwDsvCUrFBSZ1Okm4rlmo/+gbe/2sudg5dp5FfPUp7WYPpq2PimCRwHQ9rqtSUUTWuBFw9C0C0w341m2CZ/UGxKrW5t+41ZI/djhr/OS7Xa743l+WZMp52T+LbtcSpbTo6l19/Z6iV4m94nY2EkGIe5E0WYgQO+lZV9EJJ035my8DIMtvfzxqkieqWP7Yi0OcY9XMLzHhgWv4luICc+OyNcKg/SYiZ2h/1K/e0OmpsiLFH1I6Zl+e+dc7gtpzjytmzQShpsEHODOMImJSvqXz6/QU0m9fISMzh7sfv4utOu0q6FU7/PemxwfvVz+I3q9+2P69SsWFcB40Xh3+/D26mJPFGCdCzXtf2GvenEOMZq9gy8ncLe8jVVBJ6tSN4xxUhomP3OC3W0WGhnpqrFtPzZoaAaLIxXEHG0LRmYDVzmCROZdkcFEmJiE0WNdMtJBmyehbzGrf/kTWaxt6fEy3peK+p0orp0wvHfPdG0UAnADiz7j3B6ZXib1ks67I6FOI5o6JoVJKZ26czm7+8VeeG5a31pClk6fGzOa3q7eIJ0Pt8rVomL9cHDCuv1G7bA2WbliL0eefhG/ufzr2NnxCYJEFGs+QVU48UXec+mdNvfNKO3QdwiFHI1BVDzgpMmw28Iae30sRDf7BKxYA0O/7n1+vru3yi9K3bkPju7OVxndnKwAguBzIOO4IddQbk3VL/74WpdlnbP7pN1FNIuwxav9SkEkzEZiug4rtJ6iCRUb+ERP0CX+7QudLFjPf3x9wNFUnkJ5bECDk5sC172g497s2PHrKLQHucnNmgjHN4GZYhxnSiKmGaXhrDQmu3ySo5VuU8NYaaDUN4HrsFBWJoNc1YukJl/cd+eFz3zhGDjkWQPzbr/+g9Cqxz+xXsihzQB+zeWNlj+6EY7oRsWqi3FhMN0TJboUepUrRvicebsw/6apO07ZySdojMu9VzJ2HP110El/4yVeobmzA8L4DkNmvBLGiSmw5maA+LzoTe3HoEGTcfbePl68k4QdvdbQ+OIhsgaYbaHVUEFHarbFxLKzTZNIlm14/Gmd8pDTO+EhxHXMoaz76KBzx4PU+Z0k+Ey2yoHr8MEIqESSJU0kApQKIKIBQGtn52yKsst1KtUDQ3F5JjIODMbiL85X9X3nMQ4QdG8YExSLQnEwaamjWQRDJCUQpIYSCUEIiKYIImBqGGVIBxonW2EwNX0AwvX5Rq2+muj8AGJHdH1SSIDrskHMzDdeIQbqjX4mUNWa4X7BZTcFhAxcFuu7reVY9qJpkWzUxExF6ADBNmNU1MOvqYf44VwhPfbbdQ5UgIloiAGtxH2QPHQ6y/wSdFPbV4M7iJifMCIS5b9l6oXLK6w49zg1i0VArKrH0pKvGjfzwucUsGCrPOHDscQCST0G7m+lVYi87bOtyhw9srPh6Xm5PXmfD1/PoOTOf8QKt+/MJCOEEhBJ3vxLbN/c9FfU8VdPNfZ68x7/8lkcd0cTCWlIAX13jHiH2NUvWQBFEszA7R9pcW41mvxeOwryYYp/ZrwRCRbklmt0lH3ood111RYBVrIE2+U4nvO0tXe5pgtudgYBpIqCG4VZ2eRGjdkjebWb+9ZP8NVOmJZ1vncgyq1q4XFzy6geRkFFCYM1yQ7JaYOoGmG6AmSaYYYKbJjhjMHUD4Bynv/mEZ+b5t8ZKeNZu1bfsyAOQPbBvcNHUd2InSCMEks0KyabgjLf+HZz79+etkk2BbLdCcTsN0WY1qSRyDk6YphFti0dQl64W1fc+F03DRPOGzR0Wy1fPmuu88tPndf+r08HDiaeXFooKNbZ5U+cpJ7ZuAdu6Bfj6cwk7BSK4hgzD6Lcm+2o+n0+2PJH89xTeXIWFY0/tYx81pGjEG/++1j5i4H+SbWt306vEHkBV9uAyH4AeFfv5T71qm/9U9BDCU199LCDZrPawp6Obb/oZ17smffqSj0oiWJQc9f2uv9D/zb9f3i31NxOFGQb81fWQrDuEt7MFwqyBpSpft7rdiqTtkks02/HHhNmin2j43msd0GKIgtWGIAIgmkptlhzwQI8kWowb8vyDzuwHXvLXPPNy8rVkCXi71AucI9TQhLiW5hOIuhEkCWZXYbGcQw8EoQeCMEKq0bCm3ZpIqyGdECPPPp75p/5XSEboI1cVWXdcMnzNKmg3T3Lmnn+pqjx5j3/dTfFVhYuFfcQgHwS6rjtt7G56m9iblgxnI4D+u6sDekglohLbIKmY9xsZ+fS9/iVX3tfu5rPkZcMyfCBqlqzu8T4mC6EUw04/VgMlnJuMOIvzJLTsOaCERizPGOQOG2Don04Hzc2F6957AqLbyYwvZ0vhOy53diWYxOFEAI0mtJDgGDA4kk3T4YqkNtA0gBmI6VbZ7xAIo/cPQ9cJTINyTaVgZsQNo6qRwiumCehhQNfANqwG6rp2PdBvPrDkXXtJoPaZV5Irtm0y0lmOpc4vHr9rnkrCjnUkQqBkOEFFAYrbBVtOJmw5mRAVC0xNR7C+CUICeZk6Y96U12m/t/+lWpavlLQlS5Nwq/KUFEYx3nxZcR5/sjbs1cmB1ZPusSe70Jt76jGr7EP7z+l2h3YjvU3sobidyTvpUkCosVlU3O1Ts1JJimR9lETMf/5tR/83nwi2S9oFYMz//qEu/uInx5BTjkbD2gqkcrNNqnD3K8G+l57OF7/6gYWKAjZ9txCBpojLRRREGKHYMfR9Jo4WM48Y4UNtFfS3nneGKzfFd1HZAkOUoClWUEJNWbLBPOHiEDdNgFIQUYr8FIRI0jMAhBIOQgECsEBQJKX9aejpJ2QiUECSAUpABJFDkhlkySRUAGSZQXJx8fiLTKGsHyOUtMt/A6CDFe+o8knJLhVzwyC0B4qCE0HAkJOOQNH4kRAVC9z9SiAqFilv+ECIVgt0MJiMQdU0BNUQAmoIYdOEIFC4lUEQ8rMsB91xOX56/L/d6ocRDMGzpZrncS5YjztGC33+ZWKbChgnCeTn67wvn82WlcZ6YZ/3ngqsOP82O+vkPo0GEQQILvser5V7/BvYGVt2ZudVHnoIUVFwynP3BQr6FpIBE8foZkhlhJBIlnrTBNd0cMPkck6mZDR6xJ2FY8NzbwrZLkc4x2HlI8841rD168Opw8aITSEG57R2TYW4Zf4SZcPc+UhV9EaiZPQpYBu+mietfPdTAICrOB9myyYyURCwc7EOJcuNox+9NegozDULMmVFu+1KBQnmaidZOfAEg+Ccc0djg2gsmIfgs08mNCV3PTctYG6usMDfzv1DAAgtr+3E0ztSUgrLrX/zhzduSTrfENd0obMZYOcnx54JjbrwZAiDivFjxSpohg57dTmoKNBAdT0M04TRhWW7aU6YsiUrkuvXTqz5er51yD8na42Nfp5/+STd9+obWvCjOfHNhEyDECl1azPmgp8F2tRgH/Xhs4Hl591qN9qMIbkoD/0fuiG4+d+vyMGV69tpIlUsGDd/RoWcn/NxYPWGG+xD+78IIEnf1O6l14m9aLVstGa5EdqFgpg7fADOfvpvgU23/F1ZtWJdzCmrc8JoZF52TnDxtQ912E1T++n3Mc08warAPqgvyvYZpI6+63JDzs9htsFlctXajVqooZluW7hMbKrYqqhNHoS9foS9AWiBYFRRoLIMxe2EkuGExWmDxeWA7HRAdtigenzQfAFwxsF0HZy15HpnkbJ9/Y85yPBV1cq5IwaBM4asQWUwVjXDkuFAZmkRcocPgrM4H6UHj9VLJuyrerZUY/7TrzrqVqwnt332hAeaFl8VpTaQnDw0+QMAZ3Db7WB1idvSwanPiPZ7H/YF7ro5ufw5O2G59lb/+qvvc7SNs08UbpodwhbjJVYiPtGqoGD8Pvhk/g8wW9xaoq4Dug615SErSxJEKkCRZdgUK2wWBRZJgm4a8AWDMEUJnt9T45pePfMLrJ75hQwAB1x3gXHgaSeT4EfxeUKkfv10c+nPKd1izNetAXnsTvvoGf/2Vc/6RvD+ssTS58aLgjaXRNQpTzjK/nqDb+VFt7e7R5imo+L+pwvUzdse4JrOh7zw4DEZB449KZX92lX0OrG3ZWcuyygt3GViv8+5f9YPOet4bc1pV9lZFztfbcMGomr2XJmpEcPAMXwA8o87hJX/55VOnbdmSIV36Rp4l65RKt+MDJYxrz7mnXXJnS7F7UL/oyei7PD9TXt+jqa4nabFaYdotcCemyXXLl+ncs7BDJNwxogZ1qAFQtBDKoygCs0foHpQpbLTLhx448Vs44zPZAiUixaZEUHgIIQTgYJQwkWbFc5+JWpRvxJQUeL5B4yWhJpykmnLpXlFhWZTSa5mzc7A+s9/tP7wyFRn29BUIRykiZftBmhhcUTsTULcDjvY1jjdP23gnmYLsTtTkvVTGLsf06mV6NXdi/XnugFJsZjYaWbRFdYsN0TFEvUcxe1CKKzCZAwOqw2HjR6HrCH9ofkCxFu5LRK+qZkwwxrCvgCC9U0IbqqG5g9CsikoK87HqKOP0/9359Ru6UKrQSFZFUg2BZLdiqqla8XghSdzachgpq9Z2+VihTR0iBl+e2p3uhEVVrMN9M0XlLLb7mbGyQfpvluucwYDkYqmSrazo3XEGOo//Kp1ikEqHphy+IDJt02Xi/IetxTkLkt5B3uQXif2zqLccldJQbh68aoe35103KO3BosEsDXn3OCIJyqj7t1PMWT2VM1aUmCEa+qVAfdeHZZcTrH8P68kfG3SstNWbfZi5XufAxHRaDfvPf31f3pmXfrXuKzpvoeNZxvf+5wue2JaazGTTgeks38f+PQQNK8fks7Ylu9+FRc8/XrU+ylrUBlQuy0pBywdNBwVy1eDW+zIy8yBuWhbwm1wwwAP+lMSms98PirZrcg+79Rgwxszk04uRwQaV2qNnXEU5KCpfEvUz1m0yNvdNJIgwmjyI7ipOvjrc2/YmisqwQwTmr/zUs0lB47RsNN9lCjXzX0pgEWLONc0QNPAwyrhapjwd98irLEpvoUKkuKtFIIA+c8nhyx/OsnQli6Vmk4+Qdl5UZ/QrhcJmr762bH4qEsuHDrt0bG5px0zIqV97GF6ndhTUax1lRT4AfSo2J//1hN+Nnce2TRtRtz+YxYMYtXRF9oG/vBOaN5Tr4XLb/+ncOh91yY1uIjc9ZhhCYToFe03Mrjt2/lxvxdbfg68wQBkl8O0hCF4t8aOYCmZOBqsfG2n3wftN4hL518WbDcABRHagCEW/7ZmKjY3keIMF4LrE3cxsC2bAdNkZMgw8DWrEj6/LXzdGmjXXWTPn/p2oOGtD2NHAXWB4HSYoUZPwn4cKgow9egrC4IswWQRsRcECtXjQ+6Igaxx3aYuRb4VZiT+AOrQRlOT4XtkcsIuux7BaoNy4f8FpLH7s9AnHytNk/4v5liLd7QYHh+Y1kk1+T8ovU7sATTbcjJ7bAFFtFkxadazgdrJL0jeb+cn/EAR87JRvXSNseqdT5wAMOzMY0NyXja02gTXlSWxy0FpavGXjMsZ2p9vfGJa3JeXM5wIhlUQhwRZ1RFqiO02Kx07VMWimZ1m/ZIuuSpgvv+qA007qk+R/CJ4Dj4eCPi422YnPOAHLDIgSS2x5mxH+GUX+B/6myNj2huqd9J5SjKZN3fG8AVYskIPAEJ2puavaUj8IU9p7DTabTY6EEQiiagkwkwgXj2Z2UYH/gDZnUh2DqyXX+OnpWU88OLzTv+UZ7o+KYF+m76g4pn3+5sZE8f8H/aQXbW9Uex91uyMHnnqZpQW4cJXJwcqrrjHqm7YnFSQdL//TQ5Vlm+R9rnwZHXl258o3903xXnGO08GVlxyhz3vT4dqRZedxUMbK7XFZ98UczGRyhIY551e35aXjWB9c9wD1+KwJaRcRBTAOAOBAIGQDpE4bSkY3MdgczrPV0ScGZyvXd7+l1m58DU3gfs8yBg5ylT2GWbI7pv1SPx1JDSSDtlH9v3jYdlYtqTzDoeC8D94j+Se/ZUZ+M9j0D/9KPmUGrIMDtqtuEnBncGCK5LI4URIzGR7VKAw2xSTZ2ak3GFn300Hkt0k1raLu1Hthf4DuDLpKj/sDvgmP+JkmxJf44mHNVfcO8Q1YfTA4dP/9al1YOn0HrlIiumNYm+IiiXlln2/IyewP91yaWjtGdfYzSi7Y+Ol/LwbrUppEQ6bcm942OlHqzNOv0F59/Tr7Mf8+y6fIz9HePf062wTb79M32fmMx6CSGUo3lIIm/OIHlvcGZJna02nYtVn4hjULV8b9/cr2xIzMgml4DxiDBFCIhE7MbBaZYZQF0XEwqEODZCMTPhCKhAKEHvtVsGcs1Qwv/us3WxKvOpOv7GpIq6oDXP1SsF3+w2w33FvuFtir2nA3Nl0wOtTguUXXp+U317IcPJAorM5RD7rWIJMRWH7PUIpATOMiLGfgIDHW4+h80a6KfaiCCKKhOTmgfu8cEx9XQ1PewHmquUKCAWrrup4yrjxunLRJJV5fNTz0INOeJPIdp5gwfEBj99RT+3Jxs/uenqj2EOyWVOaknTidReo+4wZZqw541oHj5F/O16YPwhqtcAhhQ1J9NKc4QNRv3I9Prr0r9st+S9u7Hxrd//jDjad/fp0KlbZg/qyyvlL4i5vSBOMCiGUoO12/84KZ0iG2vUgCgY6WKvE6YK/ZQOM02oFr47iKnJksEQGNvd4TFazzUA313SEgUOMhk/mJu3yELMz4duaeEQPFQWYmh51VkdFcXvIJSU0klcnQd1NSebMBC8qFBWCupwQCgpC1OGQHLfewoJbqgT9ur8FXPmZmHvDP22jrzvXL//pbAME3NZQSbQZbzrMinLIJ54Wshx/gqGtWSs2X3etE90Znwn2e9kpV+cXX3vB38vuveafpi/wkZSTeUnyF+95eqXY27Ld9V0fFR8nPXl3ILOxiZdfcU9KctYUXXue2veEfU32+C12ccBwHHTX5cHZl95tS2Qbd+bA0vC2JWs7tSjd/fuoqz/8Ki6rM3twGbyryhO6F6gkgXEGcM4FSqF14hcWtBC6tBf1KOsLTjcCjZGFRYdiAfdFKUQmJ5b/36woFyCIkjhmHIzfFyVyajtI2QDme/RlB5GkpNLqEkXhRjJrB6T9Q7YtVNoh9gKlEfdNrIOjnS+KYJ2kvIibBEUzc8pTwbBBqM0p06aKbeG5F95pa/xtZTuL+asff9tuDGWMGIADHrtTzSzOJKGZ7wtNl126WzLjUZsC1/6jqrWa+ruU0qKfdkcfEqFXir2jIHeD7LDHHYEQizPf+k8ws1+xotc3Bko/fNELAJxxTgRKQp9+K9W98GbCN1mfMw/V2CPXuQCArPwNA2XFcvpb/wp8cP7t9lhVe3bG1aeILZvxeafHZPQpYN44i2MX7DssVPPjwoTeC5VEGGarsAgx8/hTWQYNBYQuxT6KRUmcGfBXRVwdDkUBvFHEXkp8Fu1/4G7Z9dz/wvqv883Qvx9Nyg0TfnqyY+Cz9/tDdT5svOquxA2BJOvFRlxm0U8VJHG7G0cQBDBD2ynbWufIDhsMtfse0Op6P82e/poPHASEQmIGE5oaSeC112Ttt8XtZlSu2272bPxyvrD40Zdsjn7F8K6p6HLG5VlRjs9PvEY5ZPrjAffxpxHp6JM0847rHDQ/D8bKld3ufzy4D9s/MODxO2a7xo/8C4AufJR/DHql2BtqOKu7Qn/IvVcHN/24kL933s3tCnoDgGS34eLpj/nrXkiiTKWutRt8dPHPQj9Tt54986nAjDNvssezmGbLyeTBLvy9vm11xFGQG1chl8KxI8wV9yaWuZXKEhhj4OAQoqRKaKXkgNHAxvWdL2bLMrhpdBAl4srY7sZxWJWOlr1FAbE7E76HeWMDPOedZrHddLsqn362ps18N+EnBq8oB/vqY0cQOcmF9ohScmJPKbhpRv08CaXbw20JSMT/noCVLdqUxBZzYzDj8vs7BBdkDSrDBZOO9u8s9nTYCPx24vUOAPCuqUjoOj9cdIcdAA5+/fFQ3kvTw/UrNnDX9x+J+hef9aiuuQ8bHxzw+B1vuMaPvLInr5Nq9ojc6YlCJVHtrE5sVwz806GGsyif/frsG1HzeDBdB5GSDMaIMvjIsl9pydf/tf3p2fviWmsQrXKXhrKvqlaOVvbOUZiHIaccpQ8/+0/hEef8OTzsjGO1/NFDBMOfmHEiyBIMZgK8jcsgCv0OHmOw9as6nTXQ4fuCb65o/4VJEgxBhGYYoITCIghAaKcHuNMFs2prcquBnCP88WxFPvKYpFckjaW/w3X4gci75pJgn8l3+2kii9xJp0qgMWPhaUuEFABQSsEMA5zFr/aixZISsY8GiZLBUho8yOAWS7c1aOHNk62fHX+lJVRdb4qTrjYsDz7aPUuvEzKPPtA/8F93veIaP/KqnrpGT9ErLXvRIpc7CnLgq0p8AczdvxT7XX1e+J3Tros5NTd1I+HBSl0OlL7xH5/PaZejxVSSNUtJ5jF/iUt4MgeWWU6c+rC/xR9LECUaRrIp5IiHb9S2+2wjGSGJ2tjMy7/82aEHQ+CmCUGWQZKpsUkpODdamiYxa4SW7jtI5dPf71ckTMYAACAASURBVNTNQQ8+XBNHjiLiYUf4ImWXwCFIpNmWacG6LdTusEPY/2CTPvqcGgkBanlZ7ZK2en3S97C5djVYdbVJh+8DtnJ51yfsBNtWBfrqU4o7vwBin5FBuW8J1FVxbvqKkd+mK6ggwNSj56dvu0Ar0NYF2vifhZLNAjPBRHUJ0aYvQm4unP/4e/jDwyd1O1+RWhepGLjiX9PsW2aXYeKVJyTli+rqs8o947jmvndf9ZxzzPB7kml/d9Mrxd5ekLPc1acwYbGXHTac/N+HAm+fem3nea+TCC0rufc69bP7pziPvPsvHmeMHbMZoiZkDenHG9dUdBoRUb96gzbnir+5OjsmEcZefErC57SNxiGIHXrpyskAb+rc5ST276/hvbsc0IIt7QEoHAxfn4NAGzYiU8gGfntfJD+/096fO/o4VZ9fF1fEUSyC/37M7nrxFc1/2/Uyq0k8FQNbvRJs9UqIfz6NFD56jx+myWGYjIfDYB6P4P9hgeift1DRtrQPF+RJzjyJQHmsTVVUEts820lkHSWBe9Wa6UbYF+i52T4hIDYbbH8+XrWdeTr/+Ozb7d3ZmLYzwcpqqLUNWD9xX6Ps389r2i1XpyTxHQDknXdiY5+b/+/FPVXogV4q9o78nPXufsX+rfOXJLRwds4Hz/pnTbrbrvm6ngVGDND4kIsLoA3sa1b9uqxT68H6wt8c5zz/L191lZcHG7x0xbufyZU/LZIVtwsnvPyIqjZ5TUIpT+WAdBbnQ61uSLg9KkkwjYg4CxHXQtTjJN4+/o/2HwzYHUAoCBYIAAEfqCKxVqHf0bFsNLV8D26nHfBHqffcd4ypPfVQol1vBw/4wZoaTGRnA0mIPQCIY8eHmdNt/njopHb3G5VlFJxyJArvviVgy8s0mc/PjfoGQSvfRKjLkdTYI0KkcEy0v0lWBcEWI0WgFKaugyUQ5WVxO6D5gz1StJxQCjAO5cCJumfcIfLXZ9xOtR5IVsg0Hcv+8YI9eMmpoeGXXKZpr/4v7vUYEqPUWumdV9Tmn3vCA47RQ59PWUd3A71S7AFsyR5U5gUQt9ifOPXhwA+PTpU8m6riutm3a70owjqwLwS7FcEV68Faw+kohfvog+A64fAQGT6IvX3mjRH/f2eWlhqC4/FrnQMBwGpDv6enhV4YdzZUrx+Z/fuQDy66wx6sb0KwPnX1WXKGDWCNvy1PMnStTZx9jPclGuF2T0XlvgdDWPUNg6gAspVDkoH133f0aTiz0VwTEftMpwPwRaltKyomPN0XDP9fb7O6/vua6j3/tKRmCfJZ5xvfnn5rh3uNaRqqZnyGqhmfbV/7ER02OEcOQfbYMUns+gEESTaNcPQ0GPb8bNQEW0JVrTbU1jUlFEppy8k2x0w6Hfkjh4S+uO0xayp207aiB1VYjztGFgb0D0t9+wlaY3OPhkuWvzbLOvjzqT4kIPY7RzmJmRkYMPm2rZlHTXzB2r/PHi30QO8Ve4+zMC/uRZp9zj9R91fX8Y1z58W/0cZhlwreneLxN3ppU0UlMcIaciadzS12G+OcwwhrdNOvy4RNz75lq1+9YbvIxzt+jCNOCy+c9mHkaMbwzglXWs6Y+YzqLMyVZl50OzZ9uyD5HaBtKBg9NFTz3YKES+sxTYcoRW4f3TAgxVicpJpK2tmWnloNv7zXdZIsZw6ayzcCANxOG1DV0RXEaXIRLR3a8ftgbvl/9q47Poqq7Z57p2xP7wmQAgmE0IsiFpSi2F8FFXxVRFEUC3axK/aCYEPECnaKYleKoiC99xJaKOlt+5R7vz9203eT3RB9lY/z+0GS3ZnZO7Mz5z73Kec5xCxPv+R0PnJf+G0GYxKghDgBaw4XKlZsQOS4kWF/DOAPwgZJ0RUkEZriu9qyKEFxOMMKuG76cJ6w6cN5pp5jR6hXzHvdOfeKiSGnA7eEqoNH8GLfq2RjdKR8xaevtGnRY0BwjqK1O0hSblfo28NvxmLp2knLeWfyH7beXW+gBjm8NKF/KE5UsueS1RyS5RTZIRVdrxiuNBeQDYT3z7zaCCBsS7C5StNaiCJw5XhJeOFdrf2g/p5Dv602Zg0/012x9yBRnW4cWdWanp6BEZ3Zjh+aNivs/bzllTC3j4aDUuJ0umGJj2myjTkuGqSqvKEVGuJsR8xRqPJnCEVaLYAjgN+fyG3mznLcf6c54q33WkVCvGAfO+Ont11/nH+rOVQfdDiB0/oQDDILlgtPKK1dcRIC9LjuP6rm8YZ9r2x8f65Utme/MGzKg/af7ni6zfzeADB6wVueLQ+81CYFii1hy3MzrClfTbXr468N6RxqMoZSbhldnHzdpXMj+ve4A0Drmtb+A3FCpl4CCFik0wSU4tIPn3MuGDPJ0pZL1uYQykPOh47Qv799srb/j7WW0x+9Vb9s7mtVuVddgKWT3zIeXbfNk33hoDYr4pAtJtYa681VWAqbyQyuaXBzHZbE2CbbpJ7aA/xAo85dQfyiDQdlhpdTeDUdki0K5thEIL4DkJIDJGYBce2BtFzolY429S8zR+sMTvfTj9qMB7cjblC/kPfhvHUNVgkhwWWVia8NQWR6qp5+zgC1+nAh+278460i1qINO2n7gb2N50172GGMbhu1YsliBmeMla7Y+JfEBRpDtTux5e251LhgkUpj41rcXoiMELp+MXVb2u3X3BzRv8cEnEBED5y4lj0kk7HFJ/fGb99wlB06KnoqW+U+bRWaEwyrgavLqe59jz9i9VRWY9bgMQ3cCgvvfd4y+seZjmPrt7GK/ILjnqwFWW7VLOcuLkOCyQy9sop6RQO3JsY1eYBTenbWeMHK8H2zlihUOZzg5kgWkdSOcsnEkd5Xhyiz2n9JWaL3wy+OKxOnMfSDB0T58itVZd4XYRdRuN+dbu791keuXwZcaw5Fn6W1bEdFgSueRumRhCCxew46XXCWt2z/LqGwsJAcWLJCyv9leatFyTKHnqZUHjyKde98ab36x5ne90694rj7Q5wx6SbHtofD6x98vDg492eLITbKlffsS8wz9UWDviNwPwN50DkOOdq6yHpqn6vxL6mIDRcnLNkbomzNRu7GfDXVYfllPiEXXqlSUTS2lW+yJYTy7OmyCc1NQF9efod1zK+ztLI9B+0A97mGGAfACdMZmKYRX/I7OCiplZzl8FmFvjaDAieUICE9xXThgreqAF8qJanRXgk0UILamCyVJULTk43bfvhOlAwG0v3soUpsx3YK1xkYY2CqiuzBp8jS0Sw3H3SeznUN0DWQxEwz73GeA5t+8j30VAQsUYCuoVafPioJ1W4FkEw8wl0KbF1KsGJeg3uVD5vg0XZsa1PFQff010y2F6d52L69Uti6OW4X9MU/kIRhA1H8w1JYOqXDuedA0M2Pw43DtbJKxHXOROf/DHUmds/RDZE2lO7Ml4+u2WIsPLgbLClaC0/Wril6j7tC/fKy2y2axwPHsRIPjlM4Lvuic9zJ2Rn8z0emHt/AWoE9M+eYi35fi35TJrlM21ZR5e0364wESYJ14j2H5NPPeF3KyXn5bx/c34gTluyNUbYyIghNin1OuW20OvCKwV512kuysmWTbI6KUXMuOce7Y94vf3kbQyA0y15voepRc7mxc8Fi1VNeKa59+/PwA4r1MOajF6o3X/dA2Ot0wWRExxfvBVNVje3ZJZotJjnx6Sd85EspIMtwzZTg8noBWQYRRRCDAfzVGUiY+ZyLbPrJd6Dhd7tYqYfA49JBia83XFqGWF5ULhKjR4g0egB7gOCsLUljha1v+B0QjIGmplFtR/gBPQAwXHalaN7/sX7uqlleITlF/qH9kDZ/vgRRJGdPvtN1ZPUWbHxvjmXZczNq3xtw9/UgIBBkiZjjY5DUqwtUpyvsepOL33vGcWzDNtIqobYgyBxyGt9493Nt6v8PFZwxVO3Ixx9X32c+64spHoI3AUGA8eJLK03/uXyTmJ0znsbG7vxfjO3vxAlL9pLJuLvX2MuR0jXDk9olQzNC10WPk+qLfpbcN11rrfF7Kp/Nls765Ftvu1N7OqqPFJHSXfsMR1ZtEf/ChuUtruCNXjuxJMbBWRRcvHPZs2+bRnwx1VG4cYdyeOWmVlu4zO1plSuIyBIYAEpABEqB+q3yGAM8HtR2hFIUcNQlajZobiHITP98mhVldYREh49ElZOBGyJYZN/+GqKNCrqcpSGhgwEzxhuhKYBsAW8kjCadcSa3TrzZAVVh4IT4LrWvchiMUOg6hyAQAOCKwrnXy7nLQ7jTRbVt2yWhUxcPjYo2tbaTlePOm6XM3Dyv953XZTbqZg3NPV+tjRFRwhbd96L5wG+rAxzSd0xKKcyJcSxtQE922r1jtR3zF2rLX5jZpE+yIcKKpF5d1JyLzvFu+GCeoWTbXqnrVRe4yvYcFJY//46p7rjHV/gU2T4FWUMGiPkPTzmu4xwvvOWVELiuCr16E+td964TMjMfEBKTlv1PB/U34oQl+5j0lL2DT8/0uud8btRn7oeiKkF7h5GrLzJkRUQYxA4ZEPrlMfXWyx1uamBujyqrLreX1PAG9wXIav4mgL9hUk3nJN821CDLusejcMZ9Lg0GwpkO1aPQ+LwcI338bTsIIXA7fXnmlAIgHJwDkkypy0up0DIHz71yovXaJR855o26R25uYgiG6Kz28B4rCXs/ADBnpCH23NM0PutDIlAKHmI+t/XO2xW4yuv8+IIIaA3TA0l0HKpLDgLGCB5Zul/iC7+RUHoY5IoHHdD832KAJh6mEZc7ybKXbHA2XAmQmv8pBfw9WiHIgGio/We44XG96sHHzK6nH221A4SYzYrQ71RVTExWK4+VNzuptzYdQJAkrnmDpFP6r4fq8fKSLbuFfR99S3+56zkxd+R52ujvZtgP/r6GLH9hplU0GnDq3WNcmUMH8vI9B+miB1+xjvxyqtNZVKqYE2L5x0Ovb+BXJ2FGGKgoIrV/Nz37wrPdEcnxzJIYK3KHm5z6xmPVTNcJ1xlhmkZ0t5drbg90lweq3UlUu4OqDregOZyC7vYKmssN3eWBs+AY1GpH6y5YPUTlZcOYlW42Tn7uYSkn5yWgZeXtEwknLNmLVusW166dLn33rtDcM9XV0LZsgrZlE8Xnn1gNAOJnfmivuHZc2C6OmOlvVHmeubvpfpQC7zE4ARkASGQUuKKgfhcnIa8n6EPPq2kDeqFw4w5U5B9q9rPmXjHR+p+PX3J+dtEtFhamrnpCXjZcew+26h4wJMWDFR2j/OhRSs1mv8+9Zch5nRUsn15HJrIVqG60ioqIQrV3NzhniLSYAYc/h53WkwU2WZqQspAYzbEtmDQDryN6ANAV3z+vHTBFQtu7z62vX3NcwUPDNTcqi654zMpC0ZdpZZMQKglh9ZQFgO1zfhK3z/nJNuTF+5xXfTO9SjIZxcJNO6VZZ19buyKcPWSMRY6wQglAqsEmpsgOqeh+9UXOqMx2TBAFTgTKDTaLaIuJEt1L/iQl73xqrSw4hkoAR3y7NAjWU6sZYmQEBJsFUlQETDGREGxmiOnJECxm0EirSq0W3dgjV1904c0W3d26FReVJfR/7ZF9iWf1n2HLbD8DQACt7BMfJyzZAzgoZGQ4ADSVfgwVrV1qB0svbOSv5wGqP/U9O0B0LkRnpHkSumVraaf2wNrpnxl3LVgc8LtylVbg96enmy+c/oTjmxvDa7AS0S4J3h35rYpVUFmCrvkEuQRKEWoHLyE2qpH0AfWtbhR/7rjJDC8IFCpChk6NIgH3+Ovj6unJkG1LeNQHH9q5zzUD6DqIAa1yZ/GU7or35yXBYx9GI2h8ImhiIqdp7T20XQedxsRyiDIHFTinFBAE0HbtrYLNAlb214mJCZIErXE2Tj0Q/0ozkJrHovtfaja+E4joATR5DmSrBcNfe9guGw1k9fMzres217m7c/97CdJdTrVswcIWM5qYwwWlebVVCYBk6ZWLQXOmuRdfND7sql5LhxQ+YObT62J7d73KEBuVH9bOJxhOWLJnZaXpRBCPLzWxtWvt45BXhtcLQ3WpN/2M3nzZSx/Ivz/1pnz6Qzc7eo+7ghlsFuHne16wHFu7pcEuBcvWkZS+3YQxv3+iucsqnahxNcFvPdb+XeNq4mCazs3x0QabQabOorJGJhMBCCfggDk6wsCrqr0gqJXL5YxDio4Q3RaDLHbtSkWbhZnPHaYZ+vf0ayNwEHOEKEZLlFeXKrXHBECirDIZ9UwVOAcXI2VQWUJsAnDMJ4dAUtNRXFkNbjDpUTIVYK83MVBa+42QlZ+bycrPG476usfsPFihmzUBkM0+654zHytqCsB1kIwzGVs4nxmuvcFDE5M4sdg4DEbGZSO4IBFNZdRzuJg6dx80OjfsNTlnrYRypGFwOPW+cZ6KQ0sUtawipFTTUAL1gUAEgQcT6avhwdZm+gT/0Drjpf0ZfZWzn7hdXTzhSVv5zn1Nx8BY2L1cW4Jzw3ZUfDRXOuvLac6lI+8IOSEhIidDH/jRCz/Gn9JjJIC2izb/S3Eikj1Rd2x/UPnjt1ucr72aelwHCqnc9S/AwX1ah89etcVOnel6ve9V8h9P+9weOZcOUeI6Z6Ix2QPAqqkfmoxRVkfFvsOmzbO+DsnCjWifjFPHXeFY/ui0oAqa1339WtXRa25p4pISoiNhe/RuQFd05dghUTgSIdIlr9URbb+RwPZ9IAfXNyE/7l/O86FPVmmP39Hg2KRdBo6WVwBGE1ItElB8sP67wU8mJhXcURJ0A3XQw67tP22igkFkgiSA6QyGCBMXRAFJxiyZ3nwvUwpL6MFHXzXYV24MebbOmvGMXUqK41wQxK3Dx7Wq61U4CNbcXbZZYI6PAYqq6y5TKAVsIcKWmoihL9zrUKscZM7g64ISrq4ooLLYds8NpbB0y4FktTijOrXHoK/e2EYILRLMRjvXdJGpmkRlSRGMssIUVVLtzkj7noPpSrVDbnfxOQvjT+kxFsDfk1f9D8cJRfbc40lWt27+xPnKiwPU9WuPv+CmtbfscT5k2tqVBnrrk2pFYUWDp9qaFKeVbM8PSuS/T55uHb9pgXJ4xQaU7zkYbLNaVB86BlOABicNEORc9MpqmAmFLMtwVyqoVjhstnjA7g/4ShID05onzUCNXDK74ODazUBsIk+LjQLfsbbuzXqWfROYbIDqDvq2Ul2tfjPh2aDxF9FsAhUF6ebfZnv3XnG7wbM/gPBasJMQJbrljslhucPM8TGiLSUBnAO1wXhC0LjpTm3TD+6zmiPSEgVvVZ27RbZa0P2aS5DYvxt4pBlK2SHIkkzMcbFI7d8d5rhon0Srf3/OGLjOUJ5/CJ6Kll3XsTkZPLZTB8sFrz3iWHTLE9aWOqQxVQdMrSvUqz1nUUTC6IsqowadetiYkbZXTk1aYMpstxLA/sgeXULRqo8CYAMQ6pf4/wInDNlru3eNVTeun+R4bnJH7mqbArhWL4fJ8XmPtMzObNVPW8nKKR828MGX7T5AT7t3rL3vTVdyTVHAOa+XxcgBDnx/yxOmC2c85fx42A0tiliJZlPrOxNxDvXQEaTlpfEDxXux9/Ax9GrfA9i2yL8BbTnm0fh9awTcgoRqtwuSwYDkaBtQWF+DqplJ1GACtOBppC19k5rLN1HMveEhw8gPX/RsHXyNMZQ4RP7Nj0TEX3Wh1uXpicraKyaGXC0c37EDPefZux2EEML0Ot15pjeK6/i16wmlnFCKpF65kqPQN6FGdkhFn5uvxCFHOfaV7Nftm0sARSNaWQW1du3BxS5ZxBwX7au2Eyio4AuiSiYDN0ZFqj9MeDLoSiRz2ECl7/hRXsXupEVbduOn/95nDUX3h9CmWVKhQrBZkPnKQ7ut3XLWymlJbxiSE1aidSZXpf/fSdTDiUD20eqGdR84Z759trJ4YZs19ADQerY/Dsue9urHD5hTtRUvP9Ak2HpgyUrjgSUrW1yx/DDhKVwx/3XH5xff0mzANqVvHip27Q/b+q6BZ+sO5Fx6Fj+wcRm27ytA98GnQti/FnBVAlRk4KzZY5OIaBGRMUCVzy9PYhNQ4e8dHBcbC1JZDF4/g6a5yyrIzWYEhapFc2zDDqz49Dspa/TF3qJZ80Oy1qNHnu9dO+qe0IvbCIHzaLGyYEz4jcpHfft2NQA5tX935I6+EOvzd0KJt+nekgrILlWQvToSYxLg2bofvz3xOnSv4g/W1IHKMoa9fH8TC1mQJfQce7kr5+LB+uGVG6QvR9xhA2MY/vqj4eU9hvHYyEnxsPbJ0+JHDt9lzGi31dqr60TBbGzjarmTAP7lZK/t3TNC27Ftsv3pJzrzyr9gIv+bxNEAAOecr9qHjHAfWLOd/jr2keNKASzdkS/umP8LPePhW9x/PDM9qLWZ1KsLL9+6u/nJo5mCGtfGreicmMRjI20oq7Jj5Y59GNjvMmDF50AoFt7PT1qkJ6Z51OceMKL4KBAVi0qnExBlRFnNQHVjZdlm+Fo2AHpgnXcfQl9trXnrUyH3qzdcXS4ZwneMvM3YkkVLJInoQZQoA27vb+TROhDkXDIYKWf3w/LdWyC1T9K9R4tp96QOJCKSonjbXnjX52P58vXQvYGzdkRZbNBsxhwfg4H33+iIz8vmG9790vzp+eNaXWvQ65pLHCWPv9qiQUKNBrR/7LbDMUPP+MrSLecLIgrrcDKI+pfi30r2FnXzxnddsz441/vtgtanVraE1lYOBmiu3CyiYnCk93nKnGE3RbTVBLPpw6/MI+e+5jDHRQdtdhKfk+k+8v3S5oOKzQxHLy0Hq67Sz+ydiwVLV2P7vsMwSBL6nDkWxBzV8gLcVQHsX8ylx6d6tdefJiQqRq52uQGDkUdIELij0bibWzHJZkDzttqN0xi/TH7LdvHdY1yhuC5K3/9SPn3pbHfJb2tEpqo1/RqJM/8QPfrZ903GxDlvld6sIEuITE+Ro0/rjmW7t8HcPlHXDpcIp2V1RvHyTVg3/5eQsnyoKILrOqKz2vEzH53gMETasOShKbbSHceXmRjRIRVicSlc25vvCxx70WB76sTr19j65I0XrOYQm/aexPHiX0f22qGDg/VdO161P/loN1bSuurPkNFq4g2P7KWBg7D50+/ktl5J/HTnM9aL33vW/vklgXtxGiNtLGhudS2Cj4kYZHBnNYvzFGJQnzwsWbMFG3btx6HCUgwYdhFJ7n4uUFEAeJoRIBVkhhVvmoTrxzl4hZd7Vq4ycJOFmTW3AHejsdFmDE6DGVDL2ux+Ltm5H0QK7XBlXy8ULb278j2HC2nhhu2Cr8KaYNCjtzqOfvZ9k1WaT6Y4/DH1HT8KBSXFwvqig9yYHMvEY5VC/4652P7pdziyenPIxyGCgF5jR5ij0lOd3978uM0TgjQIpRSshYkktksmHOu3Bf2SrL1ylaypj66RYqPeNHfO+izkAZ9Em+DfRPYGdcvm1z3z5/zH/enslsWp2wKtbYYcps9eb5fprVrwc5sKscV1yWLnT7nflXp6f+t5UyaxDR/Mp86yChhsFvQfN8LDNJ3EZqTIKQN748gfa33xXb/aZf2fxK8lEwhcUeGt0ASpYAuyMvrCdHof/L5+O8qq7Ph24RLSo10sTjntv8CKTwB3EBXPQ5skMuhGDxzFEkmIpCwzR8PBQ4S47Q0rXgEQ2RA8gdtgZvAcCW7Z8/C+FM3lBo+PrS3Yaglyvx7ejY+/aa0fFD/05wbW6dNXqgBANJuoUVXlDSPvNAAIWPTUHDoOPxNIicbKjWsFyWJiUXZVyE5Jx5pps1C5/3DIxzFE2vCf2S8651x5p2n/ohUhuQsJpUG7Y9VH7xtGOItufyJg7KLdg+OPJoy++BtLbscJ+H8mU/BPwb+C7PUjh/tp+Xtn2J96tCcrKPhbGh8cJ8Iao9I+Wy3dOb1Nyd5TaaeRVIH2+ATSY8x9eiZzujnAqdlMHD8utOgVldC2bcSgRyZ4q3cdUGsmKEIp94mhEIASSO3TDKZe3eDe0DS3H4zBsWS5bk2XgFVfIiWrP0aePQCb9h3G+kIPNu/MB/EmoX/eucCaOYEHWrRb5kvfBfLO8aLyqOQprwI1Wrip+0CNnnK6Aq/LTwycc7c9+P0qG3U4g/vsRTH820aMjRIzPnzJUd+dx2vTI7mPsghAKCXlxWVNCPGPZ9+uTRgY/Ow9Ws7wM/ReP850EELAJClkR05k+xRknHcGlmxcDWtOBx6vUKG9bMOfL7yLcAT7ZKsFI+dMc3477lFL1cEjIe/HOQcVxRYJ32A1I/frGcrR1z9CyeffyQBgSEtChycn7rb17TbJkttxfsgfehJtjn882atbNj/qXfjTLa6Zbye32tJuLVpb5RhO6qUsQ7dEEK2Vuh/B4DhWjFInkLr2T/CLi91l0962MXtDt4h3115YrrpC3Tm6abPsGmQ9PkFtLgZBjAYO1QOAA/mrIBzZjt7dhiExbxD7ccE8umXvQfTodBYMBgvgDdIWWJQBr1skRitc1QfBRUG3Htki8lWfi6gOUeBNMrDmsnHMZavJfxdMcS58fKalaGPgBhaN4XF52Od3PG0llDZIzOI681cl+zx9hADuiuYb4Cx+6BVx8UOviAAMRBBw1YLpIWW4UElCrxtGYOO+XXArXqTHxPAMyvHHM2/DWxV6Zy3BIGPEF686f7jtqbCInlCKtFO6Sy25cABg5esfm1IG9KJRhHikxDh0ePS2PbZ+3X+w9cl7BMDxK5mdxHHhH0/23OXs5ZrxVvLxHEMaMFAjtghGDAYGSeJEFDioAIgiJ7JEiCgzCAJgNIBIMogkA6JAhKyO5ohnnnP4lHJpXXNPSjmvqqT2Z54OTJKhegwohfO5D5zfTnimzaz6gfff6InJTNM45ySmXbwAAHzuTFv02KudZdNmNFxiqyposNr7miFKItf14A86NRkApV4xk8cOrJmH1BvO54mxUSg8VoiSimqkxWeC9LnUCcY4BNFHzJwTPT4CcAAAIABJREFUUCLBHEX4gdUibHFwehSQSEmwJKQAUhhNrkSJgwUne7LlK2tGVDuMe/08J4u6lW3/8yj5+ubngk5yZz89Ucn/ZZkQLLh9XOA85Fuk68jzUA4FR0qLIVCKswaewb8fdW9YRE8EAZd9/LLz18dft5TvPhDeUBmDUu3UwFiz92h89xyt5/hRGxP7dduG4tLOaXeNXW7r3XUyTua7/2Pwjyd7EhHxWeQ7H6S5P5nVR928ifKK8pZ3qg9KYb7rAa34tZlGXuEC8yqAqoHrOriiIOHhux1lkx6zcl0Hc7oAjxvM5QHqlAsDCjqlfvZ+UFMu1PR8YdAwrJwxRyjcsP24v4fE7jn68JfucUfDRYVnJvpIzB8C45vXwvLgtXqg2kfeknY7pUG1WABAsFmBigDEo7pYTIQNhccKUeVwIi1vmMpL8mWs/qzB9STDH7Tz+Q/YQAXo59wJTTCAeRTQnNNAjBaVVxxVmTGJ+Uxo/z5mC6UJcTKObHLXTsIGm8i3N1/dicoCkPWfWQQAuYMfsX/dzKa/PjJVvvKrN10J3bNp8ebd/5PnJDY7A/H987Bo/UoAQI+sbEga04s27wqrbeLF7z3jWPful6ZAMhuhYMmj08SRiz9yzhs+zhJI0bPXhKuL866/7JOkPnn3A9CQ9PeE1E4iPPzjyV7q0nUOunT9WurT72xt187H7Q/dN0A/sD90Byxj0CsqtOr53wV8Wy8t19Xde8MfWHOmGQnNbtPz+rirVyw2DX3xPkdceorOGYOjvJrmL15hOLRsfUga9fF52Vpavzw1bWBvMXHtD1b958AUJkqgQnQU9IqGhhZ3OpsvfBJFLsbHQoyL9aX1UeLrOOX1gisKiMUMFAWoWOaMy6IvMUPVdJDoVI0vmtLUVK+5VEyHoLoQnZDMSncdpAXfLUC7zPYaEWJZ9dhrm1jgtjfedNCSpTI5tDq8VZElFtA1CEq1fOfK2c6fJr8r7/p+aRPyPOXWUWpqso1c+sYjbN0HX3nXffBV28VUCGk58YoQdBt9ITbl74Km60iJjUc8NcFxrFhFMLG3ADj31UmOfQuXy/t+Xtbq3PmCP9cbvp/wpHj5jzNdc4Zeb65xbxJKMeSNx/alndnvnriuHZubO0/iH4B/PNn7oVKr9Re5T9/fI998Z7LzrdfHe7//xiqkZ8B40aVH3fPnJLEjh1ulUdCCF6OZHZt5WkOcikhEJC56+V6ves+dVn2/r4DIajajw/DhnL/1gENJTDHZjxS7j23djT3f/24t2ryrSZDsrIdu8mZu+MaCnT9DX7s86GexHz63Roy42FUxc1aDvHq14AixdMmCM0iO9bFPvzNkPnijw3olB6EEMad2MZG1i9wQDT6/daRZQIdJ1SQxzcC9Hg5N0UApYE4y8aRsnR9zci2pM0FKZxmpecCRrY0/ok7wwV0Fk9ECzhhYeRmcn31gYvsDj8t+2wSr9bkXnWL/PBWr3w8tq2Twgw7uFXxNeeM7GMidEy0XPfyIs2DNVqlG8+WsB2709B/WS9N//lZQbx5tMmVk4eyJkxxtSfZ+RdJmt0nt1w1uI8Wx8lJIgoieHXOwbupsJPfNC/lzTn9ovKP6cJGw5ZNvj7tXb+nOfcKPdz0rj1j4gXPru18a9n61SDz/45d2pJzS4ypbWlJIeZ+7d+9+EGFMVCfRIjzZ2dnPh7rxv4Xsa+ARO3a633LbHbtNV466gEZFrxZzOr8jn3b6Z5U3Xz+EVwf2rBDFE5zRddaq7B5iNAq2Bx50ur/7TtK2bW2djvrUp0zWJ6bZ+SMPKTQh0aQVFLCKWyfI3nnzCObNs9K4OGTOmE7Sflhq6TvhXK+nw51KtcPDqosr6f6la6QDv602am4PY6t+b/mz1v0J631XaBUzZzV43f7199asSbc7N1/7QMCUOfvGHWTTVXUB3DN/n14lffFGraCYn7JMjamLjH/SbawuN5GKAmz4tQAFG5binP5nIpJz4Gi9Hq+NFkHMn/lCCW0x5dEx6X6LYew4j6n7ZU5snt90/PHZKul7rQeCTOAup2xPPsU37/omu/Nv4CQmhiuP3G259ZvXnJrbo4vOas5+Xyh77qprrsL27QXftI7d/tu79l/fmmfZ/cNS2oIGe4sgAm22+Ek0mzBsyoPaN/O/FgGgY2o7lKzdjop9BRANEu1y2VBFtll12WrihsgIRogvc6r+gjKtZ44cl5Fq2DpvYZspPhZv3iXOHjZWPOuxCe6xO+9lhkjrMGNUROh5n4AxOzv7ibYaz/937N69+4lwtv+3kT0AcDGz40xkdpxZ84LYtesY843j/3ROebF9wB2OHSVRV49QKj+Z24SUQ2260Rg0Pl7isYm69e57vJU3XN/ouM1VesoQuvfRxFNO99DkZEZEnRObKGD990QWZWa+YqTL9eUcMwCw0lLYZ74rmrr2ULWZrxgMgCEeQLwsI3vgOVDeutspdM4z4qPQxiyZJUojI8Cq6iZFZe8+GCTGje2T4Tl0LNzLEBz2StYlPRllRUk4cLQYpZV2/LF+Oy7s1ach2ddHYwGbELxh3vdnGuUZMx1C1BodlQUNXBWk7zUe9sKdNjAGRMQA1b54D7/oVrummIi2cZ0VigLvTaMsABBsalHeeysC8rsYNvxi9/AxkzWP0QpLUoLhl5dm0/UfzA//GeK82VZ/qX27wZzdXrQTHQKlyExuh+UzvwEA/HDbZEtyr1y4yipQkV8AV1mFX82S1/48894x7oiN67XSByaZc9+c4lkS9gCDI2vYQHun4Wf+aE1JeEGQxHCI/iT+x/g3kn0TEIPxiNix0xEAtWRPsjrBMukJJxFF2G8YHRF56x1ucv0oteKDhgFCsNZZ9oeGXCSLaalIePDO4Lq6AEhkNAzjbnfQ2FidmEwgIhWwd70RK+dZUV7UeHPBcusbDtfcebVpn54lvxqs17zr0OZ/UjduRYH+608Qfv3JYv1mGWt2APXAfvjMGnnFpU1cOSXPvGLNef4B56bR94Ug5hViMZDq5dK2H3F2di6ceZ3w6Y9/oNLuBLHENDpCvctf01SkprArxJQV+10TrVGzP3Ri8RMWuOtke3nRdoq803RsXibUED0A8IQs5ro1zHaTigJ1wVyTumAuAMApShjy1kcuU5RVX/7qrLBcPExnzTa4SenbFevXrAXnHOlJqSjbsrtW8qJ0Rz6akzUYeNd1njRnuV72xgwrAOiK2mb5yr1uGFHR//ZrXkrq0fm5tjrmSfx9OCHIHgAgSbVra8M113tIl556wdXjLIYuOWr8c694vZ/NMtlGj3U0Jnveyl6g8Hig7c2HWuXgUa+/6XRMfdWi5fsDvX4DlWZ01EyTnvSS9x8NROwBQVd/ZbTdNdFhf2WKFQCozQZ4grsNWP4uF4CQfNZ8zTJY75/WxJWjHT4Ka7t46ayFr1ZxKoFTAZzUJdcTzkCYzpnJQuXkOHNIdG8wAQV7gMJdoANurDfg5riH17oiOEIne7icqBx/myXqxfvs+H1qrTQEiUgG965pyqptIUuhqeC7ttJTuyWj2y8zHLP++1CLWu+hILJ9CuIHdOfLt+8AAUin1PZY9+WslncE0HvMf5Re2UlaycNP1d0PbdDAJKlnF23wc/ccikhNfDWhW/Ybx33Ak/if4IQheyJJdpjMsD7zkkN1KfToTXdaAMCzcYskZGXrGHqpu+TtWU2zQZrJIQ8FJfc8ZBZSkpHyzjRX+ZUjfRYzIRDPOMdtvOq/Oqbcam0u/7vJeaxdLJrufAv2ab6vJv6H75n2/RyrMPAccLcTbP2qRnuER1ySzUitQ8/WHEt+F+v7xLVjhR5hxqRIwGdrB6II8dRBQEqcG0HSURt+kAFQPL6CqQbDbXS965MRb5jIFFZxmtMBUP/tTCgw4EYn27pdwK51TU+ljTSIiCBy10cfGWF3GG559zHHwSInmTvu8RZXR5wxkCCFarlXDEeZxJirpIy2T0mD6+AxhFIE1fHc0/WBQ/uoxbff13DiD1HaORBMMVEY9OTt+zuc2feTxO6dnwLQyuYHJ/FPwIlD9nHxTusb77qOTZxkVvcfrGMJTUP5G++o0TddT9ybd6juFWsapqCFq1AZAPrRY6A2mxgz7ys3Ky/XxPR0k3juEC+m3R62VDEfdJmqlVYB/lhC2VWjqJjbRSFGk24Zfa3oPXRAQmn9VUJ44+c/fGZNefBmRZ1wXbVSVE6qvvre4Fj8u6yXV1IYTYCnGacQFQBNDe0DBQowDaCm2qBri0am0QZi9M2XjIVh2QMwT7zbjW0LfDv3Hu3kW3bL+GNBwEmpzbpN+n3venER7LdPsCb266/cvvQD58xL7rR4KpsmC0hmEy779BW3YncoTFWbPHuGSBv63DpKe/+NtwRN1ZCTmYU1H73V4jCSe3XBBRNGegpvmBC6pn4LSOmb5x3+xmNL007pMQpAmMUtJ/FPxAlD9jBaVhU/fs/V6v6m7fiq53xttH/zI1Lef8tROevzADsfP46MvlHWSkoATUPCq8+4LWUbwk4F1W97w+74fJ7onnxr7SSh7d8Pbf9+GQDEjAwHBFpHYIIIktbeLD/6ghOEciIbQE0ygyASZcE8k/7rj02+X7biN+D8yzxk8p0RBlFE0gWjNH38f+1CcqqB/TgdQAtkn5Erouiwz2pXvIDXA3jdvt81tc5yD2CV+9Qe64VBRSN4ZJJMLnveDl3j3GAxkKO7pVrLO4yJmCbE69hd4pvIjREc634NuvqgkRGS5dlXqqDrhDNGqNUKCIKO+jOnXwwOBE215/3jI8lpBgif1L6srlkt0/snyhO+edU569bnLSVbG6r3Zl9yjmfn1wsNmz78ynTB9CebyAf0vP5y7NqxA/aiUtIuK5NZqUSKt+xq9ryjs9rjyhcmOguvu9kSMHupFW6c2Ox0/fw3H1+Q2r/7VWh9c86QQHxLuckAroPvahcDOItzbq+/DQ+jkRAh5DcAKznnDxJCxgB4nnOeFGTbFQDe5Jx/3MzxRgJ4FUAMfNejAsBdnPM59c5hBIBJnPPeoY7z78aJQvYR7jXrJng2Bq8Q5F4vIDatKyEkuJBiONCO1C21i++cZMr4cbYdq34JeX8+fIxSPf09g3fJkuBpnIJYa/ED8HVmOrbfQb9706eDr2vgjkogoytoxzMU/dcfAx+HihTWCMBRDbZgtkgWzLaF4sxiK3+DHp8oomN/DWaLRkwmRowmDqOZkZQ0A1GqFF+AFYAkC4h70A7JQHRzqsyjD1BiswIdB+rEFucB5wSKi/DVXxj4gTU2qB6g92WAHquD8/B89gCI1UpqJhpiiSFcCV4ZTFW7Sj56LLwAbSBcdacHQsN7ihUWwnHTDZZrPp+rf3D5XaQiv6B21uty6VBl7pUTfXnmjU5NkCX0Gnu5+vnHHwsA0DkzCyXbmi/2MyfE4rr3nnQWXXeThXuDNE8Jk+yN0ZG45IPnf0vt3/1q/MVE78f1ACYC6Ms530kISQHgIYR8CKC/fwyTCCE3A+gNoAjA1QDuB1AKYBeABwAMAFDof28AgN6EkFwA8wGYCCGLAHQDMJRzXr8uIBmA1T8pvAZgLYCu9bfzk/ocQsjnADyc8zEAQAg54P/MVABPAkip9/oRAOkAlnDOryGEfAngbAAuAP/hnK9vm8sXOk4Ismcudzv36vXxLW8YYP3eBgEsyDKM3fMgJCeBUALOOBzbDplstz7v5cu+NUDxNPQTC6LPGqbU9zuhIBm5XOrsEVhxMdTdu+vLNdQNVRLBlYYPNWEa55WNdP0P7YJ43nWq+PxUd53GQO0egEGSxOsmuLU3nwtDfAaApkD/ajbgu28a3DvSU69VYemTTQnUEgPe8yqQigIIqhnY9ZvI/3g3SPYKb9BgO1QXlTT0PE3gRzmSu3tJ9mCVbdkkQAvcpQlA23znzYC73VBKSl0XzphMF973oly4YbskmU0QTYa6b0EQGtyLqaf0wKHDBcThcsFiNCElNp5vWrS26cH9EM0mjJs7xVl84wRLY4G7BmMJccxxnTOhOFwY8uJ9W9ud1msEgDbLz28BvQFs8xP9NwDOBHC5/z03fIQ/DkAegHYAPgLwKICfAYwHEA/fjTISwC7O+Wf+iaG+ZW/xv/87gAsABCsCM/s/u6Xt6mMl53yi/3Pq408ANwHYSgh5AcDpAGYDWAhgdwjHbXOcEGSvFRWf4lqxOqal7fTiEkBsZB03eujChZSZDtvoK3FYVVBcVQUOnx+X7dkjGiWBWHteoMlH80UwvTb4qDMGgySBcQZdZ+AA+I5tBt6/l2YdNEhNqqgQ3F98Sb1LGmZIE0kCb9xqLtDqVtfAp9/frP+W3jGtGkB4ZN/sAYMQKKlTjCSENN/9y9fgqU5bv5n0xPqw3PRfD5EkynYfovyrT63YHZwka8bUFuCM0WANVbjO+Ozzx1pGf/e248+X39NT+/fQV70+u9Y9l9C1o3j19+84DixdI+z/bZWp1w0jsKPwCPFWVNHOmZ1QviM/uCYRpRj/w3Rn2e33mvXS4BlAQlwsqNHQ4sl2ufxc+0Uzny7kuq6Z46LzALSp3HYL2ADgOkJIFuf8Yv9Ku8YFt4dzrpOGJcc1N9qvAGbAR9DvAbgXwE/+93Q05LZSznkFIcSJ5s8t1O3qY2eQ1z2oa7PIAQwB0APAdAAv+H/+rTghyJ673al6ZVWL25W/9rYp9ZWnHDQ6ilYvXCpWzf5CJqLYarI3nXYqpAvOxeKdO3C0vkAboSCyBPxeIhCTCVJKvI7So8G1SYj/vz0HRWgqItLS+dn3TlQTH3+EVT75NPMuWeIjZeoPejbYt5XEVXiAIjEVKApd7rZZBBsHIbUdjiglzYvEcQ7q14rnCJ3s4SrjsCboWPSZmT47V0HpQQ9EM4XRJKCySAGlfmuegjscwl9t2deCMXx6/k3WkXNfsyfmZRuXP/8OsSYnICo9FaYIm3Dg219NnYaepqVffJa6fsMGcmDfPmKQJHSIT8aBBYt577uvt+f9ZygDOMxJcdL7g641gzHc/NMMR9XDTxjVgsPNnkjMXbc5Pr7h8aBJApaEWFz59Ztb2w3olecsKReNkbaabJvjzyENHR8AyAawlBDCAKwHcKjRNh8DuATAYfh8+ldzzg8QQo76t/0DwNMAfvNvvxDAI4SQKADL/vIzCIxBAMYC+JRzvo0Qsgq+lYkK3wT3t+NfT/ZacUkn1+p1Y7TDLZOWkr9fLLxrkpVGRiDl7aku26DT3HJ6h/CtGFmGbeR/4OqUiZ83rIfd44ZBktAlNQ2iIEDM6aTJ0VYwVYVXUYii6yCZHfQanhMEAV6vF4QQSKKI+vlxh8urUFVajG8/miEN7pWH9o9M8hQvW+bXoYkkNL0jiC3Ct0IBgIgYEbmn1JFtjQ0UKMWR+YuWCAUvOmiV7pns1b//0gBBRK3vubIM/NgR8MLDvoBrY0h+o6u+R4xzv2VPANnkS7fkzPe6bAGDj2wppSCUglOx6aQFAEyDIIgcnEPRNBBDaF8NScgxQDYKZPIXHhTlMz7/iQgIou/zmd5g9UJu/sjLNS7j3FGAyw64HEBFCXA433d9mBZ6H4Oa6xloTDU/KcUfz7xt6zj8TJw7ZRK8hKHCXo112zeT3VWFWPrxbFHxrzQFSjGwaw8cWbQChxavkA4tXlEbZG539qnKOU/d4emQl6V5p70hKzt2tfzsSiIczYjpDX7u7kOxndIrqwqOeSPbJZsAmCoPHrkjqkPq3+XCAeecwedzf6DRW2PqbWMHcF6AfdPr/Unqvf48gPqaMR/6Xz+1hWME3c7/+lXB9uWcf1izvx+fcM7frvf+KYGO+XfiX0/2emXVGY4fF6aEsw+rqsbhUWPNAJD60dtVCEOciZhNiJ54G/I9bqxctw6MM8RYbTgnrxuEdRuhl5UhonMX1bxzqQn2CsBgApEMfpKFj4iZ7is6Yqwug4VzQBChp3fBChKF7bJRX7R1j3B6aq7QYdKDYCAoT0qSvWeeC6fHA82/xBcKS2XEZANo2OqOoK65Ru1r9f5mGoNSUkEVYwwY47UWd2RKNhJy+yEhMgKUMz8B6r5xiyI0v1umfj48JQSsQ46JDrsbXkWFqumgfq0WarDCLURBs+2DFhkNT/oAiB3PgCiKvgCz1wmUHwK8DiA2HYaDTkqTU+CNS4DYu5+vmlZRwKsqwYqO1bngTGbQpGTQ6BjYH3xYNo67xStUrqOwlxnJ2Tf6JjRd9Y1d1wD/73z7EgPpeYGG5CQOqR0DFXVYozgMZla7wqpxG/i9Sj74L1BNLIEASM0xSxv2g8gywHQQo8k3CRMCMSZayB1xHlL7d4edK9hbeAzFW/bC44/FxHInqazyVcUaJAkJUTHo0j4D9g27kP9tU4GDo8vXyee+NolVvzCFO1asDkmLqeqdD4zXfv6y4/2LJzSx7gc+MM7Za+yI9s7isitN0ZEv64qaRQQhIapD6uuhHPskgqPRBPKPwb+e7A3ZHT+If+iejsYeeWPL35iZGDQrIRhCdRX4wV1ubFy7FltknyXcKTkF/dt3gOvzuXBv3Q4AMA04RcfBDUCJb7URjp+IblqG08+7GkZJFNYL6fzXufMliySCcQ6luEiAs8qfFug7Mtm4haKyuO4ANSQcyF1Sk07Iuc+CrdQoyqrAVcVH6j5LuHZlIFAKQkjtT03XayeZxiC7D1FS2TTtFaIMp2DF+s0+tctvf15c+5Ysy4iPjUF2ZgeI9iIw407sLHSQ4oLDoFSAmJwIoWd/yKIIq9GEWIsJpLICMJmhykaU2u2odrlA4+JhpEyU9AihignYs2oXdJ1BECgE6vsnioL/dxcE92rQ/YeJQKkgCoIgCr7zq5nACHx8T2nN3/V+JwQ+2UwOZteZltWRkrh4SO3b60K79tDdbgZBILrHaUy9+mx1X0EBqaqqBmINiEnLomVb8mlsRCS65HXjihiBKKsNkg5U5R/Cvve/RunWprE7KooYvfh92Ke9pTp++CXkOIuyd59olQUG+LTxR3073RWbnWH+8+X3HLkjz6t2lVUIFfsPf512So9ER1HpbIA4rImxoR7+JP5l+NeTPQBu7NHtIblT1iw5M+OrYxPu6RzOzs011A6GxD9W4sDQs9AzOxsdQFD92nToJfWWyzUuk9bAXgn+3Yfo+8IcxbRrD90ggThdLoBQRFrNiEw0MZPJCINs4LVLhXYxeg3H13px6h+T1/zgIISCCBQ0KhkiCCTJyFBaolNBBANQVlVJCktKSaXDAc1vwdY4c6jJSESJcsI0n9nrX0pwX6okQWx7TZYlGGQZTDBQ5nIyxhgk2UTT0t2kuLgEuq6DMQbOGRRGcKSkClFxCqIsqQxUACEuqlDCj1RVg0kSg6aBQ+GodkJUFGJ1VAteRYHL4wWJT+AkOoqhsJDT8jKBq17dt0KKBAjzrZh0Dmg64GEgXKO+1woEXuWtc9voet3kWDtJsjpXVc0ECd7w91KVcI0zriqMHCqg+u9/UO5y1Y/NCABglmVkp6Sg09BhygGyVq7YV4CsyHj19znvS/sKCuEpC94NK7FPV1z42iRUTH5B86xeG57LkRCYUxKN1yz6cIktJeHn2OyMFwAg55LBD0V1SH2jYv/huyST8YzKA4cNUelp14Z17JP41+FEIHsAADWbdxq6d52U9PpLLxbd/2gn3qinK5Fl8ADpjK2poDW43Rhy6ChkIqDix4VN0iSJJAFqmCuM+nA7QcoPe7sW/2br2rsLKtwaGOeINQpAdRGglPmKmgCgxtdQn4R8XbAbHdSft84AMA7Sqb+bfz/dpPX/r9M14wsLOAMEARkpqRA6ZIAkZ0JnDJxz6P6JS+6YrZnjmYjqIv8KotFnEQCaAqgeIOtML1/5qwGUAkYzyFn9ALPNV5hFCDgIfl2+ArsKS3n/jEySJQoCNZuxrmNHtmHtGpqemoIEaIKWlKQqR7ZJlXYnKgSBVyWl6FBVSCYDYkUdMdwjEBCoKemavmeLKAoCOqYmIcIWAZ0K0AmFRgh0UOiEQgeBHpfI9CP7oINwDWAa9xXtcIDAFgdeXsIZQJh/MiNRMZTZK1jN1fWdNSHUbCHKgcNUPXyEMqcLsNlAIiJAAIiCAIMoIi4iAmlWK/Qtm0FKyr0/3/O8DM6R1quLXtJML9zOoy5g/a6/1El27CCFV11n5U5XWM+q9dzBjuibxmyU4mPfy+yW+yEAk/1o8SXGKFtfS3zMVwB4dEbaFADTcFJj/v8FThiyBwBjbuev5cz01UJU5GLv1h0RxGzShJjoau+2HSmRV162Q6+odJdNe7u/a+myiNqdWqkdomzcDGVjkDRcUWiY3tkK8H17JJTsB7YtQbQt1keo1SUAD5KOlzsYKDsIFAdXRKyFZATPHaZjx5+gvS7l2q7t4PYArQVF0efmEkVfOunlIxXesUTE4U0tfgSxpXj4l1NrLdEmevenngeDkADiVpm+e6eA/D1AXAL0zI7M4nHQLtFWZLsrQHvlqjAclIgtEx7BRJxujyB2Ol2LyF8jwl4GVLl9/vLT+jOuHAMcVeA7//S50Hx9hn2aOTVBaFECGTHOy/cuMUGQCESJ+modfAFm0u1aF1v5nRmE1k5idNQ4NxYvM9VsU3vHWLOYOzYOSn4+iCD4NOprJl1NA3e5oBcXw7F9O6AoMKekkrs+fdIOAFK3XFPCLzOdBOD+1QQnjHGqqZw6ncS19Hep/PqbbI2NlmAQU1Ng6tfbYbv4/J1CpO2omJiw3NAl56V6l95tS0kYWLhxxwtR6Wn173kdQJBO8P9MEELOAHAagFz48u0zAETCF+S9C8DD8HHbNwASACzjnE/+34z2n4MTiuwBgBqNR23nDxtoO38Yge8m9sBXEbcLgCAkxJd6t+6o8peWE2hqq9u1BQMRAqRIhgl+ON9IbAk6ivYKqC5ucXs68mmwX2dyFOe3PHkZrIDH4QtHbvjGajj/Ipfni0903EPPAAAgAElEQVTNTbarmbAUpcaa5QEzdFoB7qiCrd8QTZ8zT6yIiwONigbRNehcBxQFQmU52JbloD07q9j4NTgAg2yGwWAFSero4vNfjqifccR3rZRx6QN2/spEW/BPhY/4K0t05G8M/H6f81T+56KGr517scJX/9jUV543kCtHzHDPmRPSObveerM2UBr1/kf2iquub36sLYAYDYi5/eZjpl49dkrtUleJyUnfCNFRK9FMmCipZ5fGWS//OnDO/wDwByHkUQAjOef/IYRcC18eezsAiwAMA1AFoNtJovfhhCN7PxoLN20DIGrFJf0qp77JHPMXHH+pfDMgohSwAjbMo/isTVs84HEAavOq9fzYzgIoThOAlrs9ixKg+sZHdiyDfMFTmueLT1sekihy6KFOYi3MOaVHERcXz6FqqHK6QJMSwe3VDXLyoetAdJqE3HN1RCZrMEfr4IzAGm1oklpaXQYiCi0LqPjz+JtBoCrrIPmVhLc6NnOcqf6mU/qqCU8+tFpsl3qTlJS4/fiO9r/FkySnwTV/ArvPhi9PvQa/cc5/q78NIWQ0gH3w6dXUgAPgnPMrCSFT4NOrWUEI2QrgOc75J/h/jBOV7JvAvWrNz9rho5nOH36KaHnr44RAyfFa9li5EOTelz28ohQkI0fkM69rPjhXXWInBmto5cCC1EC9UsxIlawPPeR1PPts7WeIPXuDuZyA2wNWUgR4PL4cexaiZd9S4ZJshOL1AIIAUaCApoKYTFBUDQCHJAiAqgLlxToqvCr2rxFRXWwAoeBqkNZcHjtFTCKa7R1AafMSx4H6GwTbPoTWiX8FrMOHOuMm3T3b2LXLbQjeYOtfg8ZLSj+x/xZse78w2bXwVcxuJIQ8BJ8bZzaAAkLIRPiKsJ4E8Ah8PHc+gJNk//8AOfa5X/eq/vDj6P/1QEKGqxrsqZssAEAenWZHS+XbnDG06xZatoYgAapSG8El37xiMo55XJUH9rS7v15s0PP3yRH3jfLyqgMaBIkTQww4ZJ1EtjejepAdistvznKAcML3/S5h16KGbo6WbOzEdig8tI8Sm5XHRUQQ7vVCy8hEccERAgDRVit4VTmgeBjW/RRSAJEv+sBKLrvJxd+d3NQlFWxshADJWSCdT3EiLVuHNTpQDnvgk6GUt74fQutM++jxY8uirr5yliE3556g4/qXIVzNjhphsiBvv+r/OdX/871WDeoExP8Hso93r1j1nnvZn3+9RV8DStvuIcztB35wQ8txBU2thsECAC0nSvt06evSdQ5tB6pLPXTrKzZz/y5eXHGzm+/7SiQlG2r1dQgAdLnGwV57x4aKRsJrw0d76XkvOEB8+ZjgHNwcbSK3T6v2/eEnRNXrS4dkOkFiO8m9ZZdI4xNIpCgQOOworKqCqmtIjYqCxW2HXlkGxKVIOOUinwVdUyRVUQQcCtDHlhBAVZpn0RrLPimDkaHXOklUPHjlQQm7f7VgyTxg0GNVCJV/COVBA+Yh7B3OxnJOJzVp6vOHhMjIuw05Hb9p7Yf+E9H8zHwSbYUTnuzVw0eGlT729Gnq3n1/kyAK2lZVsWAvyOhbOBdkJ/avsaBoT+DtNI8N5uifkHtOO2xf0nxMQpAA1dsgN5N/8qKNXH2rg6x7xYqiNYH3o2Ktr78BfvzUwH78tMGqgo9/vkp58u6g4xDOvRSMGcCpUQMECkLA/EJoJoMMXuYPSnMVEBwaJIFDkBiIxMmQe8BfGdvU2o+IZ7ywoPlVgGwE6X++GXGxbiyaYuNKo0SUgMVoQax3QlEjVkZsNsh9+6qGM8/0UKvF19uYEA7qc/UoGzeJypo1Jm3fPr/MQrOjbABT/z7epFef22HonN0HvuTZEwp/p+ra/2ec8GSvHyu6xLtpy99H9AAIbRuNfACAvQLskbEWdOoBMmCYhwy5TedfPmhpHLDlFcfiSO6Ql8jp15Yivc8E/sNL7YIeU5AA1dNwtVByEHzTRpF0usyBPfMDi2cRIbBeTuCNw3tf10H9qpiM0DqtHnuZir3LGxp/OWe70PUMDVz3l7UKHNZoFd3PFolOdbTvpIJz0sRdA4CkdiDsk1stpOJQYFXQgEptQc6FUk5kGZHPP+eQM1NA9q8ykQ2f2OBq1KWKipCz+wJDxrl5RIrGXArTCW1R8oDarEh45rF9pt49XjN0zn4dJyDRAyct+78LJzTZe9auf7X6k8/PaqueoyHjr1BV3LMJfM8mI7/qdoXEtQeONepgVHEkFgTXk+Scj3lZwUj4UtACQ5QZFE9TnYhfPzPylEecJHmAG8dWNHVlUKleMVcLaOmac+a/TH5O5txP9hysJhPJv12AXZm3xChC8J+CzsB3HRJF6zGXWPy9GSV7g1r3DeRuAiFY5k2gTWNTuHX8EDeZ95SV/NlMoxGmgexcCexcafJpbwLuvncFF6EHYMjLZUlTnlklZ2WOFKIi20ia9J+JttPZPonmcMKSPXO7Ez3rNlxc/ckXCf/rsbQpqqtEyOamnCUZdFQceYKboibDEq3jnPEOlB4QUbDFiIpGXCHKrLEbpxafPG3BbdMccBWrqMpv2NqP0NBlIMKdX4NybIADMU3Xvp/b5GXxzMEMJc13d2oRAfvTNnqNUPxfe2ceH1V59fHfubPvk2Qy2UNCNvbFLaIIYZUKBREtiCKFKi4VFIqK8ioo1t2++qq1WNRiFWldKSoWraAUVBRklS1IhCRk3yYzmfWe948JkEC2SUKQzPP9fAaYufc+z7mXmd997nnOcw5Nu9cBsCS9cFOn1X09gXXm9GrLTdPe1Q0a8HsAHViKfX6g68QpLkHzdFuxD5RXXOresSvmnHR+NvOll+RLyEioQ0W+Dr2Guyixnx8qI7isVCG/9aIBubsAR7UKJgvQsz/o4hucZLfLnL9TwtZ3DPC5AaVKRl3zGsJ/nm+kBctrsfMZFdwN87aEcF6t3RTkU1WpuClBP5nrh5vwiTUT9q7VdtzN0YZTpCl31fLBb3XY/WW7fz8snxniKRkNsD+2JE9/6cVPqNNSl7e37fMNVftLSghCoNuKvSox4V8Rd8x5wDRpwuzjv7tjYMcXOf1CsER56cLrNHLPnDr86zU9v/0WkDlIppgkB10yehsNnaCE3lQEr9uAgD/ATodNfue1VEjQS9c+7uAj30ioq1GA3Y1zHjdElsF//oORfv+0E1sfMZyKrQ9lLiLEH3DD7KPMwEktbKqdZhRZpe64ajTpfmrw2YVjXZBAHRH6+n4adSSZzUh47cUd2oH9r1VERrQh50X3Qa3sllMRvzi6rdgDiIBSqWWZJVJIXRuQfDY6yxwEmnpHLbZ/LsnPzFbTnGdlDgQC0j0v7EFKn6UwmA6TQnlGxXUCiFN6PcpfrZkjP7XAhotHeKXxN8iornLigvEczNZb7zRnuT50MvgWboUSg+9yY9szQR+4pFBIS1+sDortyZy/9X8QgZkQCDD7/YAlVq/8zexa9rgleNzBYuAyEzgABGSSevVXULlDopo64hP5/E8a3SD/TFPiqzcrFcPGBP9dn34ZCgXIHtu+1BeJ/cH2DEBSgAzmM38TWoMCA4f5Sa1nXDpe5uV3NVv9qU1IwYI1J1Cl9kDci89s0g7od62k17WeG6OboepYZVBBG+m2Yu/atHlt2YPLsr179zUvAGo1LLNn+A1Ds92k1UCudsBzIFfj3rFb5dnzIwKFx9vVN8uBzvPjRMaA5jxUi+OHwMsXGuFzA1oDSK0GzXt2LlmjXsepWpdNmkM9shZj8q3/pCHjHufi/ET5ybv6t7jKtCE5kzzS2IVO7HzRAIKfP3uo5bBOSQkoVJDGPeok349GaHWAWRuM5JEIIGUwzj9OD6VaD/55OyPCClIq6+WP6sP1T+blP/Na/neFWpsdW3/OHExmxwEiI7XP+ztwZi2v/qsBLJNcsu6UD94aBen62x3wQ0GT5gX4i5UavHqPqoWW2obsh8JqkQBAN+QSV8xjS77SDug7GS3/P3ZbxMi+a+i2Yk+SpJKdrma3RyycW2e8eEDA+/5qjWfZu0a4nCBrJJQJibCkp9dJI2YEyGI9kZKXoVCwMj1DTYHaAJw1fiYJgMQAEZMU1BxSEABS2Gw6GrTcCZ+P4ffXp/31EAIyEPAH469VaoZSFczGqAwKJBRS/eM9AywHR9yuGuK3HzWhphxQaSDd83oFLLZKaHQPkDFiDdo4gUdGy06kD7iK0gfoODrhY/m5+SNQ1XzJupNsXKORD+/VSHfc74DV3vpKVtkffPk9ARQ0V4sZQMAHrXUQ2O2Gy+MBWa2Q/TIgEaQTRVQANPmYVLBbhYLdQdHVmnCi0hdrjcAl1/uw9e3QBFkFSZp8Y83Jp5STcy4y8QdPmfjfpS0d3S7Y75ets250W387fZW2X5856CarYduDWvjsu4RuK/a6y4eMtT20aGvR7NszGn6uTEhA7ItP1vo/eU9yLXy50eM4V1UgUFWBwN5dTUaD6RYscquOfG5AYW4jr3FTw3gGlFCqgvVYT/wtScGRL9eXI5T99SXz/MHFSnLLqzGlu5eXITblBtKb1rfxMjRFHWUOnCAteG4T79xs5w9eSWytXxzLhXz/70zSQy9UA2hTSbxWZzqdVTAnmgAGHHVuSGlpoJKSoGg3DL1sjsgkPw27pQ4qg8Q+T33JQBkwR1OoYk9+h09+44HQkuMl94Y0+3Gf/PJdKpQVoFGCOKUayLjQR6kDShEZ64akrCOlug6mCIDZBb1JNqisacZxY25TmM2fIoyFHhAj+66i24o9ALfCbj+oGz40pq4+f731zjlu02UX+Osemm/kquarA7VIKA4avy+ERUitdDvsOh9s8S91UOhP4KL0ARcitscoVJS8zxvea1sqiZBSA7Si1s4qmM0GAEzlDgdKa2pQXp9TX6nRQBo+0q8YNc4No05J1z5RHfQBnYo4ZZ9X4lVLTPCfNvE++uZa2DOAkmZWGjd1Wke3KaXZDwY7b+A2oguuPjkY4IObXKgtP6VKZrsK/jqXNGPZLigURyFJPfjAd2nQGnSUdUkl1LrbyWj9HkAlgqH1jRStO//wQkWpDa00qKB9dOfvnFuXfdGEyPlzPy8+emxU7DPLagMbPyXXfXd2bHLtXIzBSIJ0/SIVgOe4tioWSnU8afXbO9ys0fIFRk4p5q/WmNuWurgTT77yOOxmI4wpqbKjqoo/Ol4MsAzJZKKk7At8lLdFgc2rjfU9tn3dzfdrjRh/uxMfP9r2+PddHxl410dnfMzb3gX9+qHXYI0bzpv/loCi/XoAoKvuz4U9/UEy29/DqaqNoPiMaASFvQSNL5YYuraAEPuuoTuLPQBAd/ml1yW+9dfDtXfOiuDSNk5K/hJQa0EDc5hLj/mkP7wKAGr21P0BkiIabudN0OrjAVR1sBeGLX6iNO/pdfLzC1NOunNiewAXj5QBgCKjvYiI8pPRBKi4jS6cNhDwgTavxlVZg6Xv9pWhzuuHSq1Gzxg1suryJN76QfvarSoGaSyBTrktlR0Bcv87FoOvXkV9Rt/NRfsBezrQ89LlZLI1Evp6Ot+5HwYoNELsu4JuL/YAKiEHXoUcWHiuDQkF6n9FnTT7jzquc7p484cs79zok2Y+fAfv2KBHwFdOI6d3ysIBskTu514XXEezFr/Dry1LATNo0kwXfIf1qM4HynZokV8DdteEVn2rLe6uA1sQ5XFiXHqfoJ87EADKj4E3bm25hq8tGSg7elp/BNhTgcwhtVDrWgjBpKBgx/epwo411hZP4epHirj0iIrcjqGUfb2ad38SQFWhAmVHFrPb0YOiU+e24SwFrSBG9l1DOIg9FInJj+nvXTLOed/cfh1urCtSqimU4F2bdPKrDzjpmnmr4K6dQkYro6b879T/im/hrp0OwAyg+XCjECBTxPfof+kUuuelv8pvPj0QEVEytqxotTpWK6227Url7Qy+mkOtB7yNT1O65x3Ij/0aSLuomjIucUBntEChBFceVWHfZ0Ze/Y/mrZq87DDsGY9DoYznsrxH4HEA+kgZBbsl+BvcYIw2wBR9WOo96kZ2Vb8AAHTtk+/w12+OBNFhik5d3KbzE7SKEPuuISzEngzGStIbOrxYheVW02idiS0RdNlEF294Ww9HK5PCejOk3z22HcaIvZTca4b82mJAlmfRiOsDOP7TV5SUdXf9nm+3x/6WIHvidtgTh0jWqEdg1M1lrTkYYdLWylSno1ITIuMBEFBVBJhtwfaYAZ0J8NYBbifgOS3F8PAby7DzcxuqioJ2Pfy5zC/OlhCV6KS0C8uhMRRx2bE8+u2fDrHRkg2jbRQ/nUOtRhQBwRuHxqCmyMSVAGIx5bGRIEqFt07Nb98Vh8r84H7RaT4a/8Baiut1EwAnNPr57HPnQKFySb+61855244DqGmhJ0EICLHvGsJC7AFArijvhCpVbfQE25NBQyY5EJPCcmmFgmVWkzUGrYk9Tfr9EfQcMJq0hkoAD9JVt2yHKSIASVKBpDc7bn+reCml9yIAT2DC43fDFDMDxfv3wONI4rLcWNSW6lFbakJ1oQRHvRhfdmsBVxcYUPSjFZ5awJbuQd4WDRdsA+XMrKbsq0+GNHJJ3iEARrKnxAGA/MGT5fjm/Sha/JGX179CKNivkq6aa+O0C0tRXVoCg7UEZfk/0NQl+bAlbySFch+CC4+IC3/8J5X+1IO3rq6ALLdcsCWxv48GTsxFQt+foFAz7/viK1TmJ/DhrxNwfJ8CgQY3NI0BNHbBNxTX6zeoL/lHClUZOyv/C41+KoB0RMT36cyLHu4oWvK6CTqNsBF7RWJyEdljwSVF7W8kEJAgNfPFjE0FXXa1A7YklouKlZ43XjHh+DEAgOrWhR5qrgAGAEhKUPav3NRz4Gvw+/oC2MLFP2+UX7knQrphcQHsPWZScq917Tc8ZKrIlrYUwFIkXwQARBkjIgFEc8AXi8qjS1F6yACWtYjs8R71n/QeXJWXwu+xwRBl4LX3LwIkDfcaokCd43motR+TQrWP7Cn5ALQsBwbA5xlPF09MQK/Lk6DSZND4u75ETYmfA/73KeuyrQDKW7CPUVWQwptXZiBjaAmyhjtwYKOp0R56KzBo0nHqceEB2NOqUZJr5d3rLsCOtXGoa35em8bM34fYzMloXNu1isz2WVxxbCg0xsNkiQur3DVnHb0Q+64gbMReOfiiuerho771vPNW62X7mkGKivLjSO2piJSEDKYhE2sRlcSB/Hylb8VyE0qaSLGgUctnxIM3gIZeXU3X3L0QZQUOkLSei45s4u/XW6QJt1YgNnUEGSwdzNvbYRhB8S0nhWo/bGk5sKU13kNt2M01Rf+FSncxDZ+3FVrrITiq0iCX1lFyv88a7OkmSbEVGv1WJPZu3IYuhKjY+H776YYXs3B0h5dzNwcnWkkBpA1xUd8xB5HQ7xh8bgkFe3ryl8uHonBv4+968mAZ1ccJ1UWn/HKxWT7EZL5Kan1TN5oiikw6M6+yoOMIN06XEDZi79/9w2Lvfz5tt9BDo4UqLYX5cKyfRs2ogyWGA3k/q3wvv2xCeSvTAQy06Ou3RLtIo/uIrdE94HHlgtlGPQf8jJiUt8lw3hSuIFbq/0aFh0pQlNubt30yHUWHlXTtYguAxwA4Orc7/g+vnn8jig+aYI0Hjfx9HpIG5cIS60Lhvmj++u+XY8+/I8+YZI7qIdPYBTtgTXgZfs9cXrMkEyXBYid00XWHyZ72XFO9Cc4iwo3TJYSN2CMgmxU9evr9lRXKkCpXRUVDM32WW3fjLC0fy1UEzFnsf+ZJE2pDmJ9TKLilCUSK66kA4CGD5VsYLAM4/9BsmCL6U1TcU23v5NzBJXnjUHl8Kb5f25f3fmlsuECLv3i9H0xRH0MO1EJr3EDxmU93Rp9kjf8EObcVwe/5GfF9S+Ao1SJ/VxqvXdYTFUfPPEChBo268wiSBr1O9rSnEfT9r0GvET9wSW4CAMBoO4bG7htBF0DCjdMlhI3YKwddOE3/6LNTuPj4nbX3zRva0gIrKTkF6ptudbE5yu89nEdlb68x6AuqnKarxkqBN5e3L+thc5GIMSmM6MQNCC6rD+6amPFau/o4V1SXLOVVi7Phdp65rfAg+OU5VyBriIdyZhoAdIrYAyhBROJbKDqQw+v/NAKHNhmbvaFG9/TTuHu+R3TPqaQxHgUAdlY8gJLcKYjvI+Py3xaiYK8FeuuWTrJNEAr60Nw4RJQJ4AEAHwLwAhgMwALgPgDzEVyxzMz8fOcaen4TNmIPwK+IS/iHv7oqB37/0NM3Ur+B0EybVStLGtm974BU+eSfjb6fjpzc7vlhp0Hbv0+11J6SmQpF00nOeg7wSVPv3UCJmb8Nuc1fEpbop2jOy3fw6wtGwdFEJk17Cuia+58ma8wLndpvTUkaf/jghU1uU2qAgA+46NpCGjTpHbKlLMKpFMKEmpLx/MOaDBo6+24acNVw9B7dm6JTl3aqfYK2cdrInohyAOQ0+GgjM2888YaZDxLR3wBYAYxh5vlEdBOAgQCS6t//71m2+rwjnMQegcL8y7yfrJnMlcH5N8XlOVBNmlob8Mqy+/sfFBX3LTMGilpIqdDecoNEZ0Ztpg92S9MWraGE9Jk4z+uMkj31fQCf4crbvuN3H806Y4eUQYDFvgDAg53VJ/u9E2GM/Ay21KtRduqmDJ0FlD29FCkXrYMc0FBC36ksB34F4O6Tx1YVLEDh3r6UPX0d2dP+yQH/X+D3ZHaWbYIQ0TQW+3ph39iOlhinfmlhnUm0KcJK7OXi4wsCxwujtX9a4Qg4XOz8aouy9PaFRrmquk3Hs8xKyuwHPrgntI6rKol6DnBzeaEWYNCYmcV00diXKSH9EXSfL6UD8ZlrYbFnobrxhDUNHL2FiEZ3RidcduwqaPQeMkWtQVSPGIyet4BXzw+GBvW81EVX3PwZYtLvJYXqYP0hM0hSnIh7tXNJ7t/x8w9D6OLrTFxTvJwLf3wWal0l2VLPo8RJ3QxVyG6cWADXIviU/RURPYCgG+fvAI4R0d0A8jrZyvOesBJ7ioxer7r+5nH5V081cV3oRYEc736oieqXgUCIYh/4ZpOk/OMLtTRi2seQA/1gtd9CkbGbQjbgFw4lZD2MnJsm85pnGsdlqrRFAE6ExcQimDAs5IlQDvjH48DXK7jwoB72lDr0HTYC5tgldMXNKxDfZwfMMX8jW8oraHwDPbliih2lz6NgTzYS+69gj/MFgNIQkTgddTWTGtgn6GrUoYk9MxcBuLOZzcJ90wxhJfbKHimvyJ7c6WAe3r4GlDK3KRVwA0wWqOf9z1oyR02FOaq7p7qtRVKfr2CISIMzON9M4+cdhkrzBgBwwJdFCtV+DvirSaFsMQlZk/i9K3j9X2LhdgYz28dl3EaZ2SP5gslTSW+dhtZyBUnK55HQz0D29AUAwM6Ke+B3b6fI5C9CtkXQaZBKRON0BWG1msHz477/K3v4sQvY3U4XuSQFMzO2EYqOZc3iZ0qh07+KMMlpTkl976HhN+YBACx2ICN7DcVnrqnf2hcAIEl6Li/IDrnx8vyViEwA+o90QWsE8vf1AZBEeutEtCEpHBkiviF7+kQA8Vx08DkolNNhjrkhZDsEnYtaavwSnBXC6sqSSr1O1TOlkSiQVgPzzOlVhitHt/4Y39T8rFYHaVB2AGZrsJ7sCVRqqO9/6ltF9rB+UmLKpx21/TyiHIm99wIABo8rgd6ShGCGToCoCAD4o+dleOveA6BvcBwBaDaslX3uWPjcE2nigq007eFR9Lv/exUDR5cAyA/VQC7Ys4HXPzsPtRUfkFIT8vGCTkataPwSnBXCyo2jzkhbZ75h2hvO9f+5x/dTHkxTp1RYZt6wSdM7a2mgvKJP9FOPLgkUlxz3Hcm7RBEVtZv0up/lquq4QGWl2Xsg1056XaRkk/xyg+um/M1sv2rmnR4+cnAlJGmCXHislsuKNVJ0nFNKy7oVwapF4YUxYiMiE8bToLF1vOmtX2Hg2K9hjZkFg1UDANj7pQaX/cbIrmoL6S0uAOCyo6vh92VDo3+GIuJeQgO/O5cdG4OasldA5EBCrwmkVJciue83rZnBzsoe8LquhNeVDHfNpYhMLiVT9C1wVXsQ19uJmIyXztYlEISAEPguIazEHgAgy1UcCMC27MF8/bChizV9er0BAJLRuAPAKlV8nEaZED9BaY/+CI1DImPZ6+3LpUXj1DPvXCjn51X531vpVfQeWAyv5zYprdcWAI9IqZmnl6QLP6wxe2BPAWzJ0fjuX3pOv8RGWuNq+DxODvj/gd5DR/JLs6Pp+mVr2Z6ykCz2zWRLns8lRxZCrX2Wa8rug96SjdK8GXBU/Bp6c18oVesoud8tAJpYuXUKdjvmwO8NoK5aDY9zKXRmA1yVLpT+xFCof2a/dwtMNgUNmeFBTfEfEZl0ZddcFEGzqNq3TlEQGmHlxgEAudbZL3L+3FzTNZPGnxD60/Ao7dHv4czY9yJSq/9DNntPAJASUxKUk2esBDiFa6qm1e9TjHAXegDwug0I+ILrCyIT/Hj/cTtFJ6fyn2/uh5oSMw2ddh1NXbKdt/xzIHK/+4jzdu7misKpsCV/AJ15EhO9g5+2bcDPexZBoXLAEpNDyf2moxWhBwCo9YfIGLUCKp0Rat2n0JrmI3nwMGQOf4V3fzIYsr8Oat3DUOvVFJn067N/MQStotY0fgnOCmE3slclJfSXzKZlSnv0rnY14K7bCI32Grm48FEoVVdTfPKHkj3uvk428/zGWTUQzipgx3oXZv3vXhz4NkFeNCQeMT29CAT6UVTidq6tLKFJ9xaR1Z7IFQWpXF16H95/Ihpag5f6XOGDNe5b9LliJpltrbprGkKSYicX7CkHy1dS4oApAGq4pvh6HN0+h8bcHYDHWQmdeRWqi+ZDndgppR0FHUTdeaWNBc0TdmKvjIsdqYyLbXdhaLJEvCAf3l8Ohf7myTcAAAQrSURBVHIRe9wKskQAIka7MZHxq+impxdAa9hP3rpMTunvhykKkCSJMrOTuODAR7x6yVA4yiU225jG/d6B4sMmyhpyDLFpPyE6eQlZ270OoQLlR6sQm6UH4OGyvDfhdY1H4gAnKTUDoNRo2O/9HiSJnPS/FMRovksIO7FHcEFPh5DSeq0CsArB6JH2p03uppBaV8B7NlbCYk8Bs4JSB0VwnQOoKVXKD48F3LXDwDKQMshHfYZVwGrfSin9V5A5+jOEfuMkrilZA3dNKiTl/8Acsxl+t4yqwmQGF5I9PYIdpYOgNsQBOMCuqscgB3aRNf6Ts3DqgvYgRvZdQjiKfWfiA9CB0lfdFi/sKVtRnp/KP/y7F3Z9HkBcupIGjj0Cjb4OWoMLenMNohL/QtbYrQCOoX1zHcQ+dzkUyg9RlpcFvXUhonp8yJtXAsyga59YA+AaMkXLAHayo3QcmaI/5brqqZ16toKOoRJi3xUIsRecDTyU2HsKEntLSLtoOBzlV8Jg8ZA5+mkAtZ3YD8NZ+T38nkOITq3lb966GT+skVFXLVHObQWIyVyMhjcRnXkPy7IMSbm+E20QdBQh9l2CEHvB2UQmY8QGGCM2nI3GuaogG47y/lCqrTBEZMLvJbpq0Tb+XNebt6xMQE3xBsT1qYYtVQbRdhgiU+D3/Ikssc0XoRV0PQrhs+8Kwi70UtCNcFU9yOueiIYcqIDRNoaG3fIOKvL3Uu+R22jiwx9TRFI1qgqjYIz6K5QaG2qK+8PnDjFlqeCso1A3fgnOCmJkLzh/Ya6lK/+wlRL6TgDgR1SPmxrvcImVj+/fgJri4ZAkLxSqD8iWsvKc2CpoFlKKkX1XIMRecL6igrNiICxx+QCaS0VaBUvcFLB8B4BboTH060L7BG1FuHG6BCH2gvMSdjtyEJEQA2vCiJZ3DNjAfB38Xg8ZIo53kXmCUJBEuoSuQIi94LyEtKavOeAbR8HCKM3vZ4jcCqAHO0ono/knAMG5RIzsuwQh9oLzldp6IW8TZIr+4GwaI+gAYlK2SxBiLxAIzi1iZN8lCLEXCATnFiH2XYIQe4FAcG4RYt8lCLEXCATnFik0nz0RXQDgGgTLWj7IzK3XORCIFbQCgeAcE/oK2usBLAXwIYAxZ9O07oQY2QsEgnOLNIQaviWiHAA5DT7ayMwbTzuKT/tb0ApC7AUCwS+KemHf2MIuqxEc2esBLDn7FnUPhNgLBILzCmbeBmDbubbjfEP47AUCgSAMEGIvEAgEYYAQe4FAIAgDhM9eIBB0Fe6DBw8uPddGdCPcoexMzCJySSAQCLo7wo0jEAgEYYAQe4FAIAgDhNgLBAJBGCDEXiAQCMIAIfYCgUAQBgixFwgEgjBAiL1AIBCEAULsBQKBIAwQYi8QCARhgBB7gUAgCAOE2AsEAkEY8P+ooI+EDXoGLwAAAABJRU5ErkJggg==\n", 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" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "fig" ] @@ -230,7 +202,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.5.2" } }, "nbformat": 4, diff --git a/charts/vfh_charts.py b/charts/vfh_charts.py index 3d423b6..d6a5f6d 100644 --- a/charts/vfh_charts.py +++ b/charts/vfh_charts.py @@ -15,10 +15,13 @@ import os import shapely from shapely.geometry import Point -os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +#shapely workaround for windows +#os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" -class charts: + +class geo: + def ttc(con): query = ''' @@ -34,7 +37,30 @@ def ttc(con): return ttc - def chloro_map(con, df, subway, lower, upper, title): + def island(con): + query = ''' + + SELECT geom FROM gis.neighbourhood + WHERE area_s_cd::integer = 77 + + ''' + + island = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom') + island = island.to_crs({'init' :'epsg:3857'}) + + for index, row in island.iterrows(): + rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) + island.loc[index, 'geom'] = rotated + + return island + +class charts: + + def chloro_map(con, df, subway, lower, upper, title, **kwargs): + + island = kwargs.get('island', True) + #d = kwargs.get('d', None) + df.columns = ['geom', 'values'] light = '#d9d9d9' @@ -47,9 +73,13 @@ def chloro_map(con, df, subway, lower, upper, title): mpd = df.plot(column='values', ax=ax, vmin=lower, vmax=upper, cmap = 'YlOrRd', edgecolor = 'w', linewidth = 0.5) if subway == True: - ttc_df = charts.ttc(con) + ttc_df = geo.ttc(con) line = ttc_df.plot( ax=ax, linewidth =4, color = 'w', alpha =0.6) # ttc subway layer line = ttc_df.plot( ax=ax, linewidth =2, color = 'k', alpha =0.4) # ttc subway layer + + if island == False: + island_grey = geo.island(con) + island_grey.plot(ax=ax,linewidth = 0.5, color = light) props = dict(boxstyle='round', facecolor='w', alpha=0) plt.text(0.775, 0.37, title, transform=ax.transAxes, wrap = True, fontsize=7, fontname = 'Libre Franklin SemiBold', From cd37ba877019f8e7c37b5d223eda68cdc01aa897 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Thu, 4 Jul 2019 16:05:57 -0400 Subject: [PATCH 05/31] add optional arguments --- charts/module_test.ipynb | 82 +++++++++++----------------------------- charts/vfh_charts.py | 43 +++++++++++++++------ 2 files changed, 55 insertions(+), 70 deletions(-) diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index e3dcadc..1878381 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -32,7 +32,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -41,7 +41,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -82,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -91,82 +91,48 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": { - "scrolled": false - }, + "execution_count": 89, + "metadata": {}, "outputs": [ - { - "ename": "AttributeError", - "evalue": "'bool' object has no attribute 'plot'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvfh_charts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcharts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchloro_map\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcon\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubway\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlower\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mupper\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m200\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Growth in Trips'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0misland\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m~/bdit_python_utilities/charts/vfh_charts.py\u001b[0m in \u001b[0;36mchloro_map\u001b[0;34m(con, df, subway, lower, upper, title, **kwargs)\u001b[0m\n\u001b[1;32m 78\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misland\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 79\u001b[0m \u001b[0misland_grey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgeo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misland\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcon\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 80\u001b[0;31m \u001b[0misland\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlinewidth\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolor\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlight\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 81\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 82\u001b[0m \u001b[0mprops\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mboxstyle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'round'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfacecolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'w'\u001b[0m\u001b[0;34m,\u001b[0m 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\n", 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" + "" ] }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "fig, ax = vfh_charts.charts.chloro_map(con, data, subway = True, lower = 0, upper = 200, title = 'Growth in Trips', island = False)" + "import importlib\n", + "importlib.reload(vfh_charts)" ] }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, + "execution_count": 92, + "metadata": { + "scrolled": false + }, "outputs": [ { "data": { - "image/png": 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" ] }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ax.text(0.833, 0.32, '%', transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin',\n", - " verticalalignment='bottom', ha = 'left') \n", - "fig" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "'Figure' object has no attribute 'rcParams'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrcParams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'figure.dpi'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m450\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m: 'Figure' object has no attribute 'rcParams'" - ] + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "fig.rcParams['figure.dpi'] = 450" + "fig, ax = vfh_charts.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', \n", + " island = False, cmap = 'YlGnBu', unit = '%', nbins = 3)" ] }, { @@ -174,9 +140,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [ - "fig" - ] + "source": [] }, { "cell_type": "code", diff --git a/charts/vfh_charts.py b/charts/vfh_charts.py index d6a5f6d..92dbfee 100644 --- a/charts/vfh_charts.py +++ b/charts/vfh_charts.py @@ -40,8 +40,10 @@ def ttc(con): def island(con): query = ''' - SELECT geom FROM gis.neighbourhood - WHERE area_s_cd::integer = 77 + SELECT + geom + FROM tts.zones_tts06 + WHERE gta06 = 81 ''' @@ -56,10 +58,13 @@ def island(con): class charts: - def chloro_map(con, df, subway, lower, upper, title, **kwargs): + def chloro_map(con, df, lower, upper, title, **kwargs): + subway = kwargs.get('subway', False) island = kwargs.get('island', True) - #d = kwargs.get('d', None) + cmap = kwargs.get('cmap', 'YlOrRd') + unit = kwargs.get('unit', None) + nbins = kwargs.get('nbins', 2) df.columns = ['geom', 'values'] light = '#d9d9d9' @@ -70,16 +75,19 @@ def chloro_map(con, df, subway, lower, upper, title, **kwargs): ax.set_yticklabels([]) ax.set_xticklabels([]) ax.set_axis_off() + + mpd = df.plot(column='values', ax=ax, vmin=lower, vmax=upper, cmap = cmap, edgecolor = 'w', linewidth = 0.5) + + if island == False: + island_grey = geo.island(con) + island_grey.plot(ax=ax, edgecolor = 'w', linewidth = 4, color = light) + island_grey.plot(ax=ax, edgecolor = 'w', linewidth = 0, color = light) - mpd = df.plot(column='values', ax=ax, vmin=lower, vmax=upper, cmap = 'YlOrRd', edgecolor = 'w', linewidth = 0.5) if subway == True: ttc_df = geo.ttc(con) line = ttc_df.plot( ax=ax, linewidth =4, color = 'w', alpha =0.6) # ttc subway layer line = ttc_df.plot( ax=ax, linewidth =2, color = 'k', alpha =0.4) # ttc subway layer - - if island == False: - island_grey = geo.island(con) - island_grey.plot(ax=ax,linewidth = 0.5, color = light) + props = dict(boxstyle='round', facecolor='w', alpha=0) plt.text(0.775, 0.37, title, transform=ax.transAxes, wrap = True, fontsize=7, fontname = 'Libre Franklin SemiBold', @@ -93,18 +101,31 @@ def chloro_map(con, df, subway, lower, upper, title, **kwargs): ax.margins(0.1) - sm = plt.cm.ScalarMappable(cmap='YlOrRd', norm=plt.Normalize(vmin=lower, vmax=upper)) + sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(vmin=lower, vmax=upper)) sm._A = [] cbr = fig.colorbar(sm, cax=cax) cbr.outline.set_linewidth(0) - tick_locator = ticker.MaxNLocator(nbins=2) + tick_locator = ticker.MaxNLocator(nbins=nbins) cbr.locator = tick_locator cbr.update_ticks() cbr.ax.yaxis.set_tick_params(width=0.5) cbr.ax.tick_params(labelsize=6) # Formatting for Colorbar Text for l in cbr.ax.yaxis.get_ticklabels(): l.set_family("Libre Franklin") + + if unit is not None: + if 0 < upper < 10: + ax.text(0.823, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + elif 10 <= upper < 100: + ax.text(0.833, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + elif 100 <= upper < 1000: + ax.text(0.845, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + elif 1000 <= upper < 100000: + ax.text(0.856, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + else: + pass + return fig, ax From a47909dbad024b8d308722fe6b3eec121f01f449 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Thu, 4 Jul 2019 16:38:45 -0400 Subject: [PATCH 06/31] add init and setup --- charts/__init__.py | 1 + charts/setup.py | 16 ++++++++++++++++ 2 files changed, 17 insertions(+) create mode 100644 charts/__init__.py create mode 100644 charts/setup.py diff --git a/charts/__init__.py b/charts/__init__.py new file mode 100644 index 0000000..1197ea2 --- /dev/null +++ b/charts/__init__.py @@ -0,0 +1 @@ +from vfh_charts import * \ No newline at end of file diff --git a/charts/setup.py b/charts/setup.py new file mode 100644 index 0000000..9183b13 --- /dev/null +++ b/charts/setup.py @@ -0,0 +1,16 @@ +from setuptools import setup, find_packages + +setup( + name='vfh_charts', + version='0.1', + description='Standardized matplotlib charts and graphs', + packages=find_packages(), + install_requires=[ + 'matplotlib', + 'psycopg2', + 'geopandas', + 'pandas', + 'shapely' + ], + python_requires='>=3' +) \ No newline at end of file From 8448dd9f31ef856b33323c19a858b30c181584a6 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Thu, 4 Jul 2019 17:17:53 -0400 Subject: [PATCH 07/31] started readme --- charts/README.md | 23 +++++++++++++++++++++++ charts/module_test.ipynb | 20 ++++++++++++++++++++ 2 files changed, 43 insertions(+) create mode 100644 charts/README.md diff --git a/charts/README.md b/charts/README.md new file mode 100644 index 0000000..c1f2b10 --- /dev/null +++ b/charts/README.md @@ -0,0 +1,23 @@ +## `charts.chloro_map(con, df, lower, upper, title, **kwargs)` + +This function creates a chloropleth map. It returns a matplotlib `fig` and `ax` object so that the map can continued be annotated and modified. + +The following arguments must be passed in order for the function to run. + +|argument|variable type|description| +|-----|-----|-----| +con|SQL Connection Object|Used to additional layers from the SQL database. +df|GeoPandas DataFrame|Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the `geom` column and the second has to be the data that needs to be mapped. +lower|int|Lower bound for the colourmap +upper|int|Upper bound for the colourmap +title|str|Text string for the title text + +Additionally, there are optional arguments that can be passed to the function + +|argument|variable type|default|description| +|-----|-----|-----|-----| +subway|boolean|`False`|Flag to plot the subway network on the map. False indicates the subway network does not show up. +island|boolean|`True`|Flag to plot the Toronto Islands as having no data. True indicates the islands are coloured the same as the Waterfront neighbourhood. +cmap|str|`YlOrRd`|String to specify colourmap for the map. +unit|str|`None`|Specifies if a unit should be added to the legend box. The automatic placement of the unit only works if the upper or lower are whole numbers. +nbins|int|`2`|Number of ticks in the colourmap \ No newline at end of file diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index 1878381..6507d1e 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -30,6 +30,26 @@ "con = connect(**dbset)" ] }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "con" + ] + }, { "cell_type": "code", "execution_count": 15, From 901293dbb0c6c346e29b1e476ee64ade19bc6de9 Mon Sep 17 00:00:00 2001 From: rickl4 <38917106+rickl4@users.noreply.github.com> Date: Thu, 4 Jul 2019 17:19:19 -0400 Subject: [PATCH 08/31] Update README.md #6 --- charts/README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/charts/README.md b/charts/README.md index c1f2b10..9a6c977 100644 --- a/charts/README.md +++ b/charts/README.md @@ -1,3 +1,5 @@ +# README + ## `charts.chloro_map(con, df, lower, upper, title, **kwargs)` This function creates a chloropleth map. It returns a matplotlib `fig` and `ax` object so that the map can continued be annotated and modified. @@ -20,4 +22,4 @@ subway|boolean|`False`|Flag to plot the subway network on the map. False indicat island|boolean|`True`|Flag to plot the Toronto Islands as having no data. True indicates the islands are coloured the same as the Waterfront neighbourhood. cmap|str|`YlOrRd`|String to specify colourmap for the map. unit|str|`None`|Specifies if a unit should be added to the legend box. The automatic placement of the unit only works if the upper or lower are whole numbers. -nbins|int|`2`|Number of ticks in the colourmap \ No newline at end of file +nbins|int|`2`|Number of ticks in the colourmap From 1ccbbf569cc1962230d55b53dfac522bea74adcf Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Fri, 5 Jul 2019 15:31:51 -0400 Subject: [PATCH 09/31] line chart functionality #6 --- charts/README.md | 13 +- charts/module_test.ipynb | 389 +++++++++++++++++++++++++++++++++++---- charts/vfh_charts.py | 33 +++- 3 files changed, 393 insertions(+), 42 deletions(-) diff --git a/charts/README.md b/charts/README.md index c1f2b10..8b09393 100644 --- a/charts/README.md +++ b/charts/README.md @@ -1,3 +1,13 @@ +# vfh_charts + +## `geo.ttc(con)` + +Returns a geopandas dataframe of the TTC subway network. + +## `geo.island(con)` + +Returns a geopandas dataframe of the Toronto Island. + ## `charts.chloro_map(con, df, lower, upper, title, **kwargs)` This function creates a chloropleth map. It returns a matplotlib `fig` and `ax` object so that the map can continued be annotated and modified. @@ -20,4 +30,5 @@ subway|boolean|`False`|Flag to plot the subway network on the map. False indicat island|boolean|`True`|Flag to plot the Toronto Islands as having no data. True indicates the islands are coloured the same as the Waterfront neighbourhood. cmap|str|`YlOrRd`|String to specify colourmap for the map. unit|str|`None`|Specifies if a unit should be added to the legend box. The automatic placement of the unit only works if the upper or lower are whole numbers. -nbins|int|`2`|Number of ticks in the colourmap \ No newline at end of file +nbins|int|`2`|Number of ticks in the colourmap + diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index 6507d1e..4707686 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -23,6 +23,7 @@ "import shapely\n", "from shapely.geometry import Point\n", "#os.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\n", + "import importlib\n", "\n", "CONFIG = configparser.ConfigParser()\n", "CONFIG.read('/home/rliu/bdit_vfh/config.cfg')\n", @@ -32,27 +33,7 @@ }, { "cell_type": "code", - "execution_count": 93, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 93, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "con" - ] - }, - { - "cell_type": "code", - "execution_count": 15, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -61,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -102,7 +83,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -111,7 +92,298 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 5, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = vfh_charts.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', \n", + " island = False, cmap = 'YlGnBu', unit = '%', nbins = 3)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "query='''\n", + "WITH daily_ave AS (\n", + "\n", + "SELECT * FROM ptc.daily_trips\n", + "), total AS (\n", + "SELECT extract(month from pickup_datetime) as mon,\n", + "extract(year from pickup_datetime) as yr,\n", + "\n", + "CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\n", + "WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\n", + "avg(count)::integer END as count FROM daily_ave\n", + "GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\n", + "ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n", + ")\n", + "\n", + "\n", + "SELECT \n", + "CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \n", + "WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \n", + "ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\n", + "END AS period, \n", + "count FROM total\n", + "'''\n", + "total=pandasql.read_sql(query, con)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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periodcount
0Sep 201662242
1Oct64443
2Nov65595
3Dec71107
4Jan 201769280
5Feb75834
6Mar80486
7Apr80165
8May79951
9Jun83822
10Jul76303
11Aug77527
12Sep82788
13Oct83752
14Nov88247
15Dec97224
16Jan 201891856
17Feb100055
18Mar108321
19Apr116587
20May118861
21Jun132495
22Jul131914
23Aug145230
24Sep152776
25Oct159412
26Nov161733
27Dec164054
28Jan 2019161267
29Feb172254
30Mar175803
\n", + "
" + ], + "text/plain": [ + " period count\n", + "0 Sep 2016 62242\n", + "1 Oct 64443\n", + "2 Nov 65595\n", + "3 Dec 71107\n", + "4 Jan 2017 69280\n", + "5 Feb 75834\n", + "6 Mar 80486\n", + "7 Apr 80165\n", + "8 May 79951\n", + "9 Jun 83822\n", + "10 Jul 76303\n", + "11 Aug 77527\n", + "12 Sep 82788\n", + "13 Oct 83752\n", + "14 Nov 88247\n", + "15 Dec 97224\n", + "16 Jan 2018 91856\n", + "17 Feb 100055\n", + "18 Mar 108321\n", + "19 Apr 116587\n", + "20 May 118861\n", + "21 Jun 132495\n", + "22 Jul 131914\n", + "23 Aug 145230\n", + "24 Sep 152776\n", + "25 Oct 159412\n", + "26 Nov 161733\n", + "27 Dec 164054\n", + "28 Jan 2019 161267\n", + "29 Feb 172254\n", + "30 Mar 175803" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "total" + ] + }, + { + "cell_type": "code", + "execution_count": 53, "metadata": {}, "outputs": [ { @@ -120,47 +392,84 @@ "" ] }, - "execution_count": 89, + "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "import importlib\n", "importlib.reload(vfh_charts)" ] }, { "cell_type": "code", - "execution_count": 92, - "metadata": { - "scrolled": false - }, + "execution_count": 40, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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PrG98Pks/r50fEZsj4pmoP9ccqTzuaMPjG9eVRD1s2uzrePelg6kAdIZqtZrGdk/jXU9XlumK7OfNE5FuLXW81k/pZU7kM3pXlPd9zI6I0yNifpRPApkZ5ZDJrMp9c+ME9pEwvY0US8dUYDmmAky16kqqikwpiShFPXwyUqq3V6q2SxpNknErz1Qr1aQrujTe1yzU0qwCTBIRh4dHY7BYqoR7kvKbvGrYpzLvqAZtoh4CqgaDqtvLhmuODe0wuV26eHYtUJQkSfzbE84bBSafhlCRSkUAYxAqAk5WV0R8J8apSvTEhr1x78Pb476Ht8dTG/fF05v2xeBQMXq6C7F00ayYP6cvVizpjysvWhrXX7Eizlg5Z6zVrKpcmAKSJIlcuWbxme2eC7wA1YMJvVGu+jSVVMNLx6vUNN6lmFpmOOrhprG+Dkf5eX93lIMsByPiUOXr4DjzS693KDWuXkZb8DN4oaoHh9parepv//Zvl23fvv13S6VSPiJi586dMz7+8Y+f8Za3vGXL2rVrDzd56OKI+K2I+KeIuPdUzLVBtU1F+mz0xjPUm91XPdM9XSlurOpxYwVSG29vbJ8x1ni8uY03x2bVAKaite2ewPNQDR6ln3sanzfSgaR0Fb10Nb2JCCk1bqcU5b/jMyLi6Wge+m6cb2P1v2poeqwAenXb44VNq+OxqgeOd9uJLDPebenvpfH7afxaXUezkHtaev3NQmlzImJhRDQ+T471OxorgHu8oMLxKi6m13Ei30963Ox38nyMd7JC4/bHmsvxrI56uHCsEzkaTxwYr0LK8f7mG08oaPw63vfSeMJB499Ldd7pSzpskq7WMtbf91gnMTReb6z20ji38U7MKEY5lFk9IWM46q81zQKnja9Pz/cklcaWU+mvYwV9Gp/Hmr3OjhXc6Urd33GKpVIU8h35rZ1S1SovSZRbkBSTJEZKpVrVlWIpHaKphE6q4ZskiWKlMku6vVM6EFN9XD2kU0o9trqeUi2EU4qxK9WUkiQ+dGn9rdRfP/hsfHvD7hgqlls5jVSCP0klNFP9mg7HZEI10OGuWT63Nt4zOBKDpbHeigG016j2ZwDHJVQEnKxSpA68Hzk6Et+9e1PcfNszcccDW2P/waExHzQ8UoyNWw/Exq0H4sHHdsbXvvd0RESsWjYQ1162PK66aGlcd/mKWLxg5in5JmidXG6s/elTT6lUimKxsvOyVIpiMYliqRRJalwqJZVlyuPqY0ql8v3V8Vi31x6TGjfe/pY3vCgzp42b98Z9D27K3Jb+cedyuRgcGo3tOw9GqViKnp6uKORzkcvlolgqxWixFIcODcXhI8NRLJaOWUEutZ7x1p/LRRTy+cjlc5HP5aJQyEW+so18PpdZrrzOXGY91XXnctkN5HO56OrKR6GQj+6ufHR1FSpf89HdXYiu1G3lZcq3dXcVoqs7ez29jsb7qnPsUPkoh6F62z2RF6gU9Sopx6vo1BhwajYuVtY/EOUDz8si4iVRPwBdrNyer8zhYETsinIoYFOUD6TujWMrVVXnWD04d1JtEUdGRnpyudw7BgYGFkRE5FL/iN/4xjdOP3DgwOHrrrvuSIxfES8i4sVRrkLzRGq5xgO86TPsm4Vpns/YkTQmSvVgdVdEzGjzXI4rdWD5nHbPBYBT4/kGiqphmZF0u6VKwGS0cluxMfOXRDkEkwrFFFNBmtGGIE0SEUkq0FJt/5REvcJLtXJMKSlva6xPSaNJUp5Tkm2pVEyqlXNK9dBN1KvK1B/T+LUe5qlWuanOdyoZKZWiu/J7f3DngXh8b7PsP0xvL1pWDxU9tOtAG2cCML6RbOk77c8AxiBUBJysUkR8JSL+XUTErXdtjF/98Hdf8Mo2bTsYm7Y9Hv/3649HRMTSRbPinNPnxZkr58SShbNiwby+mDWjO7q7ysUBqjvA8pVAQzXgEElUwhvls8RKlRBIOSCSxGgt4FG9L0kFPipnplXOIEtq7ynLg+r1JGm4HqnbG5epLJfUdvCVl0lvo3pfpG+r7vyr3Vce9/aWwyLloErUQymV76NxnDktuf4Npb63ynbT80xtPxrmXv0Ws99rxKpl/fHHv3pDbZW/8QefifVPb4tc5Crfa1IL2ZQq46SU1NZZLJVSy1TO7quOK7dXTxbO5coBlfJ9pcrXyKy7cVuR1H+31fsaH1PfTvv92u9/Or77pf8aZ5xWLgQ2c2ZP/Mpvf6nNs5racrmIrkI+uroL0VUoB5TKgaPKuFAJL3UXorenED09XdHb2xW9la99PV3R01Oo3dbT01V+3snlIl/IRyFfeS7K5yNfqAavysGonp5C9HQXKo8rr7vxem9PV3kuXfW5dBXK13u6p2pRlBOWj3Jo4FQGB2aPMYc5lcvZp3Aecffdd0epVIq5c+eOef+6devi0KFD8bKXvSx6epru37h0QibI81IslVtQVA8OVi/j3lZMagfdRopJ5v7RUv2s9/TX0YZ1jYzxmNFSEj35fPz5K8+tze2zTz8TuweHoiefj+58PnoK+ejO5aMrn4+ufC66c/l43aoVme/nm7c9U3m+KsSM3q7o6+2qPEcWore7EH295ft6e6b3x0uVKtojVSUTmOJKqTZMxSQyLaBKyfP7jFZtz1SqhFlq4Zd0K6nKNqpBnepn3sYgTlSvp9Z7eLgYbzlvSe355/btO+OhPftisFSKoWIxBovFODQyGodHR2OoWIrhUrH8Ov48vw8mt7zXHxjX7J6uuHBBvQPk157W+gyYnEaz789UKgIYw/Te6wu0ymejEiq68ZrVMaOvK44OtqaLzfZdh2P7rsNx272bW7I+Jt6Hfuna6Ostv7z09HTFd29/tM0zmrr27Dscv/4Hn4kv/OOvRkTEwvmz4g9+89Xxvz51Zxw8OBjLl8+Jbdv3x8FDw22e6dSRJBEjo6UYGZ2aJbfz+VwtZJSt6JT62t14vTzO58sBqnSYqhqkqoeYspWdurvLQahqxajurkK8+Q0XRV9v/fP1PQ9ujZkzumPWzO6YNbMnerrz0XispBrm6u7OT/vQwVjWr18fjz56/OfKDRs2xJe+9KV41ateFfPmzTsFMzs5xVISw5U2ECOVsMxIKYmRxtsqgZpqq4l0a4hay4pqq4j09co2SrUDgOkWFVFZX3mZJHU2/mgpieFiPcBTnctoalwN+mTH9bDOSDEb3Kl+T9VQz2Q6XPjLV9Y7yA4Wi/HVTZtj5Djh2bNnD8SaOeXM3We+8mj8wUfvPKFt5XIR3V3lgli5XPk5KxdRqxJXrmxXPgBXrXCXy5Wr2uXz5RWUg+Ll26rr6OrKR09XIbq6cpXnpvJzYOO2qiHz8jgin89HPt/6A365XHau+Vwu/vBXrq/df8cze+Krj26v/X1W26pU/3YjIgq16n+5yEdqnCvPPV1RIhPmjvL2ugu5KORz0VUJsnbVxuX7jqkUGOkqglH7uUdtXL6j8bZcLlcviVZbrn5bPlcP9+dz5e9rrOuFfC4bbE/9PNOvGY09rfKVEHm10GC+sr7y31HEVavn1X6/R0aK8YPNe1JzzVUeH5GvjPO53Nj/n+P9S+QyX7I/z8bvo+EEhPRqc2M8NlMNshqYH2caJ6IagqjOIUnNKZdac+O2x3Pt8uzrzIO790cuclHI1X8P5e2mTjyI+skU1Soo1d97Lpcrlx7L5Wq/10LUf7+lykkMpYjs+lInPkRE5u+4flJHVP5GKn8bDdsr5HNRyOUqf49Re62o/28mtR5ntaqaUf87Sr/OVOdUGuf7bJSeY+Pvpyufi6sWZ8PE927dX279lAqLpoOqI+lxJYRaqqw0iezvvv7cUZ5J9Xq9ok3lNTLqr4+1QE8leFOuOpM0vMbWX5OL1d9bkl1vdX3Vx442rrcUtWBP+r7J9Pp5In7m3CVRqPxNfm3T1lh/4GB7J8Qpkf53L3R2JVw4KVcvm1P7HyklSdz8zO42zwhgbCPFzH5ilYoAxuCoDtAKN0fE/oiYM3NGd9x4zepaOzOmn4fX746rLloaERGvfcWl8ZG/u7nNM5rabvnBunhs/ZY4f025asR7331NvPfd19TuT5Ik9u47Gm97zyfjJ0/satc0OUVKpSSGS8WIkWIcbdMcFi6YFa96ebnqya13PBu/+DvP/3+8UMhFd6X6Uk9PuRpTT0+lOlR39ZKvVXeqXXoqYadKmKAamCqHnsqhg+7ufCXAVF5HNcxw5OhIHDg0HPv2D8bLrl0dl16wJCLK7Rlu/N/3xWCxGH2FQvT3FGJpf2+sHOiNlbP7YsVAX8zqKURPIR+9hXz0duXKXyuXamil8WBb9UBdKcoHztLhmHTo5dC+PbHuB7dGsViM9KG0JDVIj3cf3hWf+PS/xIte/JJYdfoZtYOItcekli8lSTy172jsPDSUOuu+fvBvqFjKBGLqYZ/yeDQdCiqmg0HH3jZaSurrq9w21Q4MdqqfXrO4Nn5oz97jBooi6sGXiIi+vhP/yJgkEcMjUzO0ebJ+//3X1Z5v/vy7T8QDW/a3eUbTw9O/+8ra+D03PxwP73ZAv1V+fu3K+M9XnhERETuODMUvfu/hNs+oM33rDS+KOZWw9oe+tz7++ZFtbZ4Rz4ciNdNTKfUut1uoCMaVDihvPzwU0/NTAjAVjGb3k6hUBDAGoSKgFYYi4osR8XMREa+/8SyhomnsC99cXwsVXXPF2TFvzqzYu/9wm2c1dSVJEu//rX+Mr3/2v0Rv77GfaXK5XMyfNzO++Kmfjwuu++9tmCHTzaoV9TPqN29/YQdvi8UkisViDA4VWzWt52Xz9kO1UFFXPh/vWLs0/vSHz9TuX7fr0CmZR28yEtcfeDQKo4PP+7Hrv/y1WL3mgjhz7aWRP07LpQd3HIyvrN8ZRSmfaScfEWfPn1W7ft/u507ocduOHo3z5s6JiIg3v/Kc+MT/eSie3iQkM57+mT21QFFExPaDQ22czfRRrlNVt29opF1T6Ujz++rvO4+MtqYKLVn5iJiVam+7f8jPeSrzNmv6SFcmEyqC8V2XChXdtW1vG2cC0FxDqEilIoAxND8CAXDiPlsdvOSqlTFvdm8750Ibfenb66NUeSPe1VWIm166ts0zmvruffDpeP27/ixuvW1dHDo8dvhg9kBfXHXZqjHvg1ZauKAeUNi8bWpWhPi37zwZt6faav7cJStP/SSSJK4e3PCCAkVVG9c/Gj++/dYYHmq+jquXz4n3XbEq5vQ6n2C6+XcXLsu0HLj/uRMLFT2yd19tnMvl4n/+7o0TMr9Ocd6Z2TZRuw4JFZ0KZy6YVWtVFSFU1Gor+vtq451HtdqdCB++5rzoqgSDS0kS928T3pzKREumj/Rxx67jhPthulrR3xerZ8+oXf+/P9nextkANDdSytRSU6kIYAw++QCtcmtEbIuI6OkuxE+9/Kw2T4d2KZUink21/HjtKy5t42w6x933Pxnv/uWPx1994hsxPDz2Wcw59fc5BWanDjJueYGVitqtVEriwx+7s3a9tysf//tNF53SOVweu6LvyJ6TXs/endvjvlu+EQf3Nl/XyoG+eP9Vq+PMuTOaLkdneedFy2rjdXv3xcGRE6uCcbSYrSI2u19YvJm1axbWxrsODZ1QizlO3pWr6pXz9g+NxMHh9lS/61TLUv/3mw62q+lq53r72cvj5SsW1K7f/NTu2H5YeGuqSRWs0QptGtH+DI7vuuX192nDxZIWtcCkplIRwPEJFQGtUoyIT1ev/LvXn2en2jR2820bauNXvGRtdHUVxl+YE3LDNefFvd/6cHzoV38menqOrTby1DO7454HNrZhZkw3PT31/+cX2v5sMnhyw974zg+frV1/6Wnz49H3XR/XLJ8z4du+YOGseOO1l8fchYtbsr7Bo4fj/u/eHNs2PNV0uf7uQrz3spVxw+p5TZejM+Qj4oKF/bXrd+3afcKPfddZZ9bGSZLEl7/9RCun1nGuuHBJbfzUbi1fT5ULl82ujTcffOFV3xjbkpn1UNEzB4+0cSad6X0Xrq6dELDt0FD83m2eZ6e6vB0g00YplSbrEiqCMV2Tan32zH7vI4DJreHEIJWKAMYgVAS00j9WB+eeMT+uvnhZs2XpYJ/84rpIKjva5s2ZFddccXabZzS1vebGS+ImopXJAAAgAElEQVTLn/rPsXxpfadMkiTx3J7Dcdd9z8bv/MnX4qVv/FgbZ8h0cdbpCzIVsaZq+7Oq3/vL22L3nvoOzv6ervjsmy+JM+b0NXnUyVk4ozvedsHS6J0xIy59yU2x6pzzWrLeUqkYj913Zzz+wD1RypZtzshFxOvOWhjvuHBZ9BYcBOlkja3P7jnBUNHSGX2xbGa9otUn/u9D8ZefvH9C5tgJ8vmIF1+xonb9kSkctpxqzl44szbeJFTUUr2FfCyaWT9B94l9wnKt1BURM1InXfzWdx+P3Ue075uK0oefchqgTRvp447d2p/BMXIR8aJl9UpF39t4Yi2YAdpF+zOA4zu21AHAC/dYRNweES+OiFhzxry4+8fb2jsj2uK5fYOxd/9gzK+02XntKy6N2+9+vM2zmhrOX7Mi3vCqy+O0VQtjaGgkViybH6962cVRKJR3ViZJEvf+aFP81h9/NdY/uavNs2W6ueKSlbXxwUPDceDQ1G7TsfO5I/G2X/7X+O1fvjZe+eLTIyKikM/Fre++Oh7eeTC+8JMd8amHtrZse72FXLz74uXRW/l/zufzcc4lV8bAvAXx+P13R7F4Yq2pmtny9Po4tH9vXPiiG6Jv5sxxl7tocX8s6V8dn354a+xyILMjpVufPbJvXxwYObHf85tWr6qNh0eK8ed/f1/L59ZJPvdXb4z+VPjia49ub+Nsppdls+sBUJWKWmtFqtVpkiTx2F5huVY6Z96sTEj73q37myzN5JZEVMJECtZMH+lKRQW/eDjGmnmzYl5f+Zh8kiTxufX2DQOT24j2ZwDHJVQEtNrjUQkVLVvUf5xF6WR3/GhrvP7lZ0VExE/ddGl86E//T5tnNPn91197c/zGL79+3PuTJIlf/72vxP/58oOncFZQd/659RY/U7n1WdqmbQfjl373W/G+d14av/afro6I8sGBS5fOjkuWDMSz+4/G957d25Jt/ez5S2PxzGP3TSxdfUb0z5kbD9/xgzh6+OR/rvuf2xX3fefrceE1N8S8RUvGXW7xzJ54/5Wr43OP7Yh1uw6d9HaZPI5pfbYzW6VoUV9vdOfzsePoYBSTJM4a6I+rFy2MOd09cePypbXl7nhgy6ma8pSTz0d86r+9Ni4+d1Httm89vjMe2CIccKrMTz2fbjkkVNRKqwbqoaLRJInh8Qvg8QKcNlAP/R4cHo2jo37AU1UqW6JS0TRSStWo6tL2Do5xzfJ6laKjo6XYdnhqn4wEdL5R7c8AjkuoCGi1jdXBssWz2jkP2uwfPvdQLVR05ulL4vw1K+Kx9Q5OjucNr768aaBoeHg0PvihL8dXvvnIKZwVZJ152oLauFNCRVV/+y8/jmsuXx7XX1GvxpTL5eI/XryiJaGiy5YOxNomYdv+OfPiyle8Jh695454bvvJP1cODw3Gg9+/Jc6+5IqmLdZ6Cvl459pl8YONe+ObT+3OtPFg6nr7hUszrc/urrQ+m9fTE/957flx7pw5ERFxaGQk9g2PxMpZx1a1Gh0txQf++DunbtJTyMy+rvj63745ViwZqN326PYD8ev/uq6Ns5p+ZnbX20dtPTzUxpl0nnSo6PBIsY0z6UznzKl/Tt6iylbHULBm+kgfd+zyi4djpFufrd/r5BVg8mtof9YV5VKUdpEBpAgVAa22qTpQqWh6e3j9c3Hk6EjMnFEO97/+lZcJFTXxwV94bW1cLJbiwXVbolDIx5Ejw3H7XU/H33zqjhh2mjhttjJ1xuGWDgsVFYtJfPyffpQJFUVEPL7ncEvW/9COg7Fqdl9cu2LuuMt09/TGxde/LDY89nA88+hDJ73NJJJ44sf3xYE9u+O8K66JQtf4b/1fsnperJzdF599ZFscGnYAeap710XLa+NH9+2vtT5775qza4GiiIj+7u7o7z72JLwkSeKPPnZHDHrdOcasGV1xyyffFgvnzajd9vRzh+Pn/uVHcWDo5FsYcmK68tmWM9tUKmqpdKhoz6DqAq30utWL4h1rVtSubzskEDeVpY80qVQ0fZSS+vujgkpFkNGdz8VVS+ufeb+1YXeTpQEmh4ZKRRHlakU+CAGkCBUBrVarVLRcpaJp7/5HdsQNV5YP0L/+VZfHn33sq22e0eQ0f15/XHXZWbXrH/zQl+NLX3u4jTOCsS2cnzqzvsNCRRERL7pseeb6pv1H48/ufKYl6y4mEV9Zvys2HRiMnzl3SXSPc1ZzLpeLMy64OAbmLYhH77k9RithkJOxY9OGOLx/X6y97qUxs39g3OXOnDsjPnDl6vjMum2x8YAD9FNVPiLOT7U+u3Pnrtr4ovnzmj52++7D8fD6XfEX/3BfPLVRG69GPV35+PY/vjUTKPrBU7vjA198KPYPChSdShcunR251IHcbSoVtdSqgfrf+ObDXg9a6XeuPCfyqb/dh3eq4NApFKyZPooqFcG4Llo0UKsmmSRJfGH9tjbPCOD4RorHhIp6QqgIIEOoCGi1HdXB4gUzo5DPRfHYpDfTxKe//EgtVHTZRafH6hULYuOW59o8q1Pj5S++IN7+pmuju7sQ37vjsfjsF++I0dGxq38sXji7Nk6SRKCISWugv7c27rT2ZxERC+bWKzPsHxyJ6z91T8u38aPtB2P7oeF490XLY17f+G/FFy5bEVe+4nWx7o7vx6ED+056u4cO7Iv7vvP1uOCq62Ph8pXjLje7tyt+4fKV8dUndsVdW4RKpqK3X7i0doCrlCRxz6762cEjpVL0Fco7+T9/8+Mxo7c7briyXDHjn7/6k/iLf7jv1E94CvnXv/7pWDS/3irumz/ZER/4wkMx4r3uKXfh0vp7pz2DI3F0VFWtVlo5u/56+PSBI22cSWeZ29MV3fl87frG/UfjH368uY0z4mR59p+eSkn9Ny9UBFnXLa+fxLB/aDQOjXiPBkx+o8kxz1XHlnQGmObyx18E4Hk5ozoYHC5mdrYw/dx616YYHqkHaV78onPbOJtT5/3veXX86z/9erzjLdfHW994TXzsv/1cfP9ffy/OOn3xmMvP6Oupjf3LMJl1V844jIjYsr3zzqzfu79ejaGvqxA9E/ROeduhofjIvc/G+j3ND9TO7B+Iy1/+6li88rSWbHd0ZCQeuuN78fQjP46kyZNNIZeLN61ZHD973hIHSqagxtZn+1PVrtbtrQfUfuamc+LLtzwRV7z503HFmz8tUHQcv/tL18TZp9UPknz78Z3xfoGitjl3cb0al9ZnrZXPRazqr4eKHtvTeSHidrlwfrZa4I2fuSf2a5s4tXkJmJaKqffR2p9B1jWplukP7TrQxpkAnLhxKhUBkKJSEdBqtdTIfQ9vF5Agtu44FKevnBMREZdceFr88xfvaPOMJtbSxXPjD3/zLcfcftH5q+KWz38o/vgvvxT3//jp2LP3cOTzuVi0YHb80s+/sracIB6T1XnnLMq0mtm0rfN2EH7rtg3x/v9wRURE9Hbl47b/eE286B/umpBtHR0txSd/vCVuOnNB3Hja/HGX6+rujrXX3BAb1y+Ipx76USQtOHq14bGH48Ce3XHB1ddHT2/fuMtdsWx2LOnvjc+s2xr7tHaaEpq1PouI+Nwzz8ZVCxdEVz4fhUI+PvHHr4pHn3wuHl6/Ow4fHYmlC2fFmjPmxehoKX5w3+b46P9+IAaHnV0cEfGOnzqvNr5/0774wBcfilGBorY5LdWCTuuz1loysze6C/VU7YO7O+/1vl3OmVtvI7vpwNE49tgFU1kuhEumC5WKYGz93YW4KFWJ+9+e3tnG2QCcuDE+26tUBNBAqAhotVr7s9XLZzdbjmniJ0/vqYWKLjxv/JY7neL6q9dEd3f55TVJkti561AsWVw+K3nB/IH4H3/y/zR9/JatJ9/mCCbCZRetqI33HRiMQ4dHmiw9NT325HNxy+0b4qYXnx4REcv6e+PalXPizs0T0wYsiYhvP/1cbDkwGG+7YGn0FsYvjbR6zQUxMHd+rLvrthgZPvkD6Ht2bIv7bvlGrL32JTF7/oJxl1s50Bvvv3J1fPaRbfHU3qMnvV0m1lsvWDJu67OIiM1HjsQnn3gq3nvuORERkcvl4sJzFsaF5yw8Zl3nn7Ug3vOWi+Lm2zfEH3z0h7HvwPDEfwOT1E3XnVar1FZKkvi1r6yLQe222mr5bKGiibJyoB42LSZJ7BsWKm2VMwbq7RO3HPR3C1NVOlRUECqCmksXz858Fvnm07uO8wiAyWH02JN8VSoCaKD9GdBqtTI0Z6ycE329hWbLMg08/Hh9J8JZpy9p40xOjTmz6wcL9u47Gle84i/jM5+/v2mroaqRkWK879c/P5HTgxfsvHPq/7+d2Pqs6iu3PJm5vm7nxLd9eXT34fjovRtj55HmoY15i5fGVTe9LgbmjR8Cej4Gjx6OB773rdj6zJNNl5vVXYj3XLoyblg9r+lytN+7U+G/xtZnVd/aui3++0PrYu/Q8Q9od3Xl46dedmbc87l3xRc+8sZYsaT/uI/pRG+88aza+JHtB2PDcVoXMvEWzKrv492i/VlLrUi1PhscLTZZkudr2az6z3bLQX+3MFWl2591aX8GNRcsqH9W2Ds4EiL4wFQyUsw8a6lUBNBAqAhota3pKwOzhLqnu/vX1YpXxYpl86N/1vitdjpBMfUBJFd5lf0vf/jV+H9/4/Pxkyd2xtHBkUzAKEmSOHR4KL73wyfjutf+z3j40W2nespwQs46o17JZMv2iQ/atMtzDdV43n7BslOy3d1HR+Lj922MdbuaB7b6Zs6KK172qlh++tkt2W6pVIyf3H9X/OS+u6JUHP/gcS4iXnfWwnjn2mXRW3DwZLK6YFF9R/5dO8c/M/j+5/bEr9x9b/z9+ifi7p274vH9++Ppgwfjkb374ubNW+OHO3bGaCn1epbLxcXnLopb/+lt8an//ppYNH/GuOvuRBecXQ/y3bVhTxtnQtVAb73osnBGay2b1VsbHxxRpaiVFvbVPxtvO6RSUSdI50mK2lhPG+kOKSoVQd158+ufRTbsF8IHppaRbAs0oSKABtqfAa02GBGjUXl+6Z/ZE7v2aJcynf3osR2RJEnkKntczz1rWdz/0DNtnlXrnL5qUfzsG14Ufb3dsX3XvnjDq6+o3Zfer/zVmx+Nr978aO16V1c+RrVOYQpZsWxObbxpW+eGin70yI7Ysv1grFhablv4X284K57dfzS+/czEBwmGikl8Zt22eMnqefGasxbGeIco8oVCnHflNTF7wcJ4/IF7IklO/rlk64Yn49CBfbH2mhuib+ascZdbu6g/lsw6LT6zbmvsODx922FNRm9csyjTbuDu3bubLj9ULMXNW7bFzVvGDrMu7O2N169aGS9ftiRmdJU/NuZzubjushVx66feFq/8uc/F9t3T42DBnP56EOBZbQAnhe5UuHGrcEZLLU2Fip4b7LxWp+00u6e+C26r9mcdIf1erRRCRdNFOkCWV6kIas6aW6/c/ehznVvdGOhMI6VSRNS6bjhTHqCBSkVAqyURcaB6pX+WUPd0VypFjBbrO90GBjqnusGLrjg77vj6H8bv/fqb4zc/8Ib4yz96d7z8+gtq92/asm/cxwoUMdUsmF8Pmmzu4EpFI6Ol+OAffSeODparM+RyufjYay+Ivq5T97b5Bxv3xj88uCWOHOd5YvkZZ8flL3tV9M6Y2XS5E3Vgz+6495avx95dO5out2hmd/zSlavj0iUDLdkurfHGNYtr4ycPHIz9wycXBtg9NBSffPKp+IUf3hX//NQzcWS0XrGkr7cr/u7Drz6p9U8lM2fU389uVxWn7dYsmlULq0dEbD3sd9JK6UpF2/1sW2pGV701+GbPJR0hnScpqVQ0bSSpAJlIEZQVchGnza7v77tvx/42zgbg+RvNVioSKgJoIFQETITaJ0ftz4iITMmeTjmTr7enKz7x5+8dt51bsVSK3/qjr57iWcHEGUgdZOzk9mcREQ8+ujN+5Q++Xbve11WI37n+zFM6hyf3HomP3PvscStwzFmwMK666XUxb9GSlmx3ZHgoHvz+LbFp/WNNl+vJ5+LtFyyNN65ZFLqhTQ7nL6gH/x7b37qd+EOlUnx546Z4/533xG3bd9ZuP+e0eS3bxmTXnQoVbjsgCNBuFy6dXRsfHB6Ng8Pjt27k+VveX3+933BQZa5W6cnnM6+XmzyXdIj6L7UkUzRtpPNjnbJ/A07WqoEZ0V0ov2dOkiTu2rq3zTMCeH5GhIoAmhIqAiZCvVLRTO+/iEwh+E7Z5/am114ZZ5xWrwqxe8/h2Lv/SBw4OBiPP7kz3viOv4uHHx27pQxMNV1d+ehKHVTv5PZnVd+7a1Ns2FwPZpy3YPyWYBNl3+Bo/PX9m+L+bQeaLtfT2xeX3PCKWL3mgqbLnagkknjiofvjkbtvj2KqOs1Yrl0xN37x8lUxp1dX5XZbmHrPtfHQ4Zav/9DoaNy2o3kVq060all/tirOfkGAdluzqL823n5YC6lWykXEsv56YP6J/a1/LpmuLpxffy4pJUlsVamoI2Tan6lUNG2kW93lO2T/BpysdJWi0SSJQyOqcwNTy3Ax87zloBZAA3v/gYlQOwo7u9/7L7Ly+c7Is74s1ebs2U174vrXfaSNs4GJtfa8pZmD6p1eqSgiYu7s3li+pH7g+kc7mgd7JspoKYnP/2RHbDwwWKkKNPaRi3w+H2dffHnMnr8wHrvvziiOnlzrq4iIHZs2xOH9+2LttS+JmQOzx11u1ey++MBVq+Mz67bFM/tUtWiHfESmRd+WI0cmZDsrZ9Vb7e07OD3CHBeevbA2Hhwpxt6jJ/+/xck5Y37973DHkenxd3iqLJjRHb2F+nPJI891/uv9qXLB/Pp7ih2Hh2NYWZuOkH5bVhQqmjbS/77jvTeH6aa/p97is+HAPMCUMFLKPHf1jrccwHTVGUd2gcnmuepg/pyxW0MxvWTKg3fIqXzdXfUdJtvaFDaAU+Wyi1bUxrv3HImjg82r13SC01fOiZ7u+v/5X939bBtnE3HP1v3xiQc2x4Gh5j/7xStXx5U3vqZpCOj5OHRgX9z7nW/Ezs0bmy43q7sQ7710ZVy1rDXb5flZu7ihms6RiQl3daeCwUeP87fYKdJt3rQ+mxyWpT5fqFTUWitSVYpKSRI7B4fbOJvOctbsesXDzZ5LOpJKRdNHkvpdyxRBVf2fwdMhMBUNFzNPXkJFAA2EioCJsKs6mCdURESkG6DlOmSv28YttexcnHfOkjbOBCbeeWvqf+Obp0GVooiInc9lK73cdOaCNs2kbuOBwfjIfRuPWw1o1uw5ceWNr43FK1e3ZLvF0ZFYd9cP4skf3x+l0vhnneZzEW8+b0m85qyF4y7DxLhsaT3MtX94OAaLxQnZzqGRepBo6YKZcc5pcydkO5PJ6Svn1MbbDgiwTAaLZtUroW475HfSSstToSJVBlorHdjarPVZx8i0PwtH0aeLdKWifIfs34CTla7W5v8CmIqGiioVATQjVARMhFqoaP5coSI6s1LRLT94uDaeO2dG/NLPX9/G2cDEOvO0eqBm87bpESpKVymKiFgzf9Y4S55ah4aL8XcPbo7bN+1tulxXd3esveYlcc7FV0QuWvO8u/GJx+LBH9wSQ0ebh5peunpe/My5i1u0VU7EeQvqf587ByfuYPW6vftq40IhH3//4VdP2LYmixWL6z9blYomhzkzumvjrUJFLbWiv77v/ODIxIQTp6vFM+o/W5WKOpOOdtNHOkDWIbs34KQVSyp4AVPbsFARQFNCRcBE2F4dLFkwOQ7CMnnk853x0nPnvU/EXfc9Ubv+8++8uo2zgYm1dEm9Csp0qVQ0d3Z2/8EXHts+zpKnXimJ+NqTu+Ozj2yP4eMcwVq15vy49KU3RU9va0K++3bvjHu/8/XYt3tn0+WuXj4n3n7hUgdaTpEz5s6ojXcdnbiD1duOHo1vbt5Su750Uee/z1s0f2ZtvFUQYFKYkWpBu/Ww30krpavpPKf1WUvN6emqjTepVNSRtD+bPkoqssAxRlMVbf1fAFPRSEmoCKCZzjiyC0w2m6qD6XCwieNL718tFDpn58Kff/yrtfGSRQPR0+Nllc60YF79oPp0qVQ0PJyt0NBdmHz/3w/tPBgfv29j7D460nS5eYuWxFU3/VTMWbCoJdsdHjwaP/ret2PTEz9putwliwfiZ89f2pJt0tzygXoQYCIrFUVEfH9780BZp5kzUN+XuF2oqO1m93Vlql6qVNRaK1PPJZsPNa9Kx/PTlwrDqVTUmUSKpg+hIjjWSLpSURvnAfBCDRcz7+aEigAaTL6jI0AnqIWKlgkVERGjqfKhs2Z0znvy2+56PEqVsxhyuVxcecnqNs8IJsbMmT218XQJFa1/Zk9s33W4dv13rj+zjbMZ347Dw/HRezfGI7sPNV2ud8aMuOylr4wVZ65pyXaTSOKJH98Xjz9wT+15cCyXLRmI15/TmjAT45uXage1a3BiQxY9DRUHO/293swZ9eoiKhW132Ur5tTGo6Ukdh4RKmqllalKRc8cONLGmXSW/q58FFLBg02eSzpSolLRtJF+59tB50zBSUmHilSrBaaihvZnrSn3DdBBhIqAibCxOpg5oztzhjfT0/BIveJH/6zOeU8+0N+XaefW19fdZGmYmmb2dUUhtVdw0zRpfzZaTOLzX69X4rnxjAXx+zecFQOTsCLZULEUn354W3zz6d1Nz5LP5/Nx7uVXx3lXXBP5fKHJkiduy9Pr4+E7vh/F0dFxl7l+5dy4evmcce/n5M3qrv8+J7pS0YZDh2KoWH5dz+Vy8aWPvik6pLPpmLpSVcqEitpv7dJ6O87th4ei6Bh+yxRyEctSoaLH9jYPq3LiLpg/UBsXS0lsPywM14lyKtZMG+lKRTk1WSAiyq9vdf4vgKlnWPszgKY6ePcv0EbPRUTtqEunn8HO8Q0O1Q829/d3TqjoT377bbVxsViKO+59po2zgYlx2cUrawdJSqUktu2YPgcZv337hsz191y2Mh76hRfHTWfMr922rL8nFqYqmbTT95/dG3//4OY4PFJsutzyM86Oy1/2quib0ZrX5+e2b4kf335rjI4Mj7vMG9csilWzO+f5fzLpyWfPkt95dGKDL0eLxfjis7X8eCyYNyN+871XT+g22+Ws1XMyB4m37RcqardzUp8rth32+2ilJbN6oysVIn5o9/QIEZ8K58+rh4q2Hx6K0ZI0HExlSaIiCzTKhu0App6R7BkrPeMtBzBdCRUBEyGJVAu05Yv72zgVJoPBofoB7oH+GW2cSevkcrn46dddVbv+re89HoOD41fqgKnqkrUrauPtuw7HyOj4ra46zaNPPBffv3tj5rZCPhf/341r4hv//vLY8IGXxN0/f23c/97r4v73XBPXrmx/NZ6n9h6Nj9y7MTYfbH6wffb8BXHlK14T8xYtacl29+3eGQ/edmuMjoyMeX8hl4t3rl0WfV0+frTaxUtmZ4Ivu4cmvgLGl5/dFA88t6d2/c2vPGfCt9kOa1Ot+w4OjcaBIa/z7bZ6Xv195PGe53h+0q3PikkSB5tUoOP5OX12/e92i7/bjuUg+vSRzgXmVaiCiIgYTYeK/FsAU5BKRQDN2asPTJRaqGjpYpWKprujqbDNQIe0Pxvo74u+3nq7s//2P77TxtnAxFlzVv2g+pZp0vos7QO/f0vc8+DWzG1LZvXGhYsGagcRcrlcLJrVG//yM5fEN//95XH2vJntmGrN/qHR+Jv7N8U9W/c3Xa6nb0ZccsMr4rRzL2zJdg/s2R0P3/n9KJXGDp7N6e2Kt5zXmhATdRcvrlfA2Ds0FCPj/PxbKYmIf9tYe6sX8+b0xZtfdfaEb/dUW3P63Np4qypFk8LiVPBlmxZSLbVyoP6zHRxtXvGO52d56vPPloP+bmGqK6bCEwXpCYiIbKUigKlopKRSEUAzQkXARKkdadL+jMNH65Ur+jskVHTk6HAUi/UDt1dcsrKNs4GJc/qqebXxpm3TL1R0dHA03vnBr8af/a+7j7tsLpeLCxYNxC3vujJ+9erTTsHsxldMIr70+M740uM7M2eNNsrn83HWRZfFxde9LLq6u8dd7kTt3bk91v/o3nHvX7uoPy5WwbClzl1Qf5+1a/DUHax+ZN/+eOpA/Tnhv/ynF52ybZ8qp62oVx/buv9oG2dC1dwZ9eepLYcEvVopXalon6pcLbWor36is0pFnUsbrOmjqP0ZHENnT2CqGymqVATQjFARMFFSoSIHD6e7Q4eHa+NOaX82OlqM+x58unb9j377tdE/00kMdJ6lS2bXxpunYaWiqlvveDYTJIyI+OTnH44b3vqZ+OAffSd27D5cuz2fy8UHX3Ra/Oz57a/Kc8/W/fGJBzYft23TwuUr48pXvC7658xrutyJ2PrME7H1mSfHvf+nzl4UPQVHYFrl9Ln119Wdg6f2YPW/PLOhNp4/py+WLGhvla5WW56qtrntgCDAZDCju1Abbz2k4ksrrUhVKjqVAcXpYHZPV228VaWijpI+hl7I2cU6XSSRDhV5TwsR2edD/xXAVKRSEUBzPvECE0WlImrSlYpmzuic9+R/86lbauP+Wb1x8+d/sY2zgYkxb049sLB524E2zqS9nnx2X/zhX/0wtu86HD+8f3P83G98PT780Ttj+67D8bVbn4qb3vkv8acfu7O2fC6Xi/dfubqNM67bdGAwPnLfxnhmX/NKKzP7B+KKl786lp525klvc/2P7o3DB/aNed/s3q542WnzT3oblC3rr59At+sUh4oe3Zdtsfenv3bDKd3+RFuYamW4Raio7Wb15KOQKgmxVaWillqRqlS08aDKXK00o+v/Z+++4xu56/zxv2ZG1XLv9q7X2/tm00MICSQhgZBAgAsJLcCRAHkcB0f7fYGjhDuOdpTQQjnKBUJLIIQSSjggJKT3hLRNtruu7XWVVaf8/pA08xlZki2v5BlJr4uNyyIAACAASURBVOcjG49GY+9nJXk0ms9r3m/r1BsrbFUvtsGqHaxURLSQwfZnRFThsioVVc8EBhFRiTBURETlcjiz0NPJUFGtiwkVMvz+Y2+v4xY33XI/fnDDHebt/r5WvOy8rQ6OiKj0gkKrmcEabH8m+ulvnsaZr/kx3vL+3+POBwZt98XiGn74yycwOWNNFnpcNMsQTmj47qODuGswd9AnQ/F4sP2U52PrSc+DdAxX3Ou6hifvvRO6rue8/8w1LWjwKTnvo+K0CL+jY9GVnaxWdR0R1XqPP+vk1XjFOfZQ2sk7u/Cht5+Kl521bkXHVgqN9dZ5xOEZBgGcdvyqZnNZ0w0cESph0rHrEyoVPTc9X2BLKoYMe9hkhBW2qoo4h85QUe0QCxmwUhFRCjNFRFTpWKmIiKgwhoqIqFzMSkVd7SHwPEtti8SsCcdgoHpCRQDw3o9dj7EJq1LDqy48zsHREJVWa0sdZNk6XByo8VDRYk7e1Y3WJmtSNqHlDtQ4RTeAW54bx0+fHFl0bL3rNuLEF50Pnz9QcLtCwrPTGHju6Zz3eSQJZ6459lZrBISEdlAr3bLIAHDzoQHbuv989wvg8chYu6oRt/3wUvz0Sxfhikt24SsfPQcfvPKUFR3fsQr4rceW7c+ct6O7wVwejyagcvaqZIIeGW1CNdEnJ8MOjqa6rG0IQhJDRWx/VlXENlhuCpNTedkrFfF5JwLsvxdERJUoab8orromMIiISoChIiIqF3OGyedV0NYcLLQtVblozGp/Vk2VigBA13XbFVlj45yEoepx8u7V5nIiqWHsaMTB0bjf9Kx9onB9Sx08LjzafnwsjGsfHMBYpHCVj6a2dpx87gWoa2hc9t918OknEI/mbqNz2qpmW0sYKp5PBhRhLmul258BwK8PD+Dbzzxr3g7VeXHXT1+HP37vn7BaCIEAwD//086VHt6y1QU8tonCYYaKHLe5o95cHpzj81FKvULrM8MwsGeKIeJS2dxivW7nEirCSc3B0VCpGaxYU5MMtj8jWoCZIiKqdFn7MZ6sIiLKwh0jEZXLbPoPALZAq3XzEbFSUXVVDz3r9G3o6mgCkDq5+P0f3+fwiIhKZ8e2HnN5ZCwMXeeZwkL27J/Eo08dMW/LkoS3n9Dn4IjyG4skcO2Dh/HYWOGJ40BdCCe+6Hw0NLcu6+/R1CQO7Xki530+WcJpQjsjKt5xXY22ChgTcWeCFn8ZGcXfR63XfmtTAIq88KOmosh44SmrF6x3o11b2s3HVjcMjLD9meP6W+rM5ZF5Ph+lJLY+Uw0DaoFtqTibmqzPwcOsUlR1xOvZPQwV1QyxIgvb3hGlsFIREVU6Hbb9GOfOiYiycMdIROU0nFnoaK0rtB1VuUjUqlQUqLJKRZdd/Dxz+ejkPPYdPOrgaIhKa/OGDnN5kK3PluTSd/7advuDz1+HK49f5dBoCktoBn725Ch++9w4CuXFfP4ATnjhi1HftLx2ZcP79xaoVtQETsUs33GdViWgyXgcSQeDf//z7HPYO7v4fmLbhrYVGM2x27Gx3Vwem3P2saWUrga/uTwUZjijlMRQUTjJSFEp9TdYFXsHWfGs6hgMl9QkMTwh8XknApAK4RMRVTKdlYqIiArijpGIyskMFXW1MVRUy8JCi51qCxUdv2utuXz73fucGwhRGaxZbYVIBhgqWhLDAD7x5TvN25Ik4VVbuxwc0eLuHpzG/zwygNl4/olkj9eH4844Gz5/IO82+ei6hsG9z+S8r9nvweY2VjNcri3CY+dE6zNRXNPxn48+jpsPHcbA/DwOzIXxzaf34GMPP2rb7ne3V8Z75YY+q4rWEKsUuUJL0DqGHAnzOSmlPiH4clS4GICOXU+d9b45MJc7YEuVS5xDz1Whj6qTGCrysP8ZEQD7ZDzDdkRUibLCkTywIyLKwh0jEZUTKxURACAsViqqsvZnyaRmLu8UWkURVYOujnpzmZWKli77sfrrwUmHRrJ0h2Zi+PqDhzE4l3+iPlBXhx2nvWBZP39o/3PQNS3nfaf0NC7rZxKwrtkKAkzEnK/cEtM0/HT/Qbz//ofwwQcfxm2jR7Cj2QrnGIaBkfGIgyNcujW9VhWooRkGAdwg6FPMZVYqKi2xUtEgW8uVVGvACsMNsf1Z1RGnnniCtXYkdavxHdveEaVktz/jPpGIKg0rFRERFcYdIxGVkxkq6mxnqKiWzYWrt/3ZL357n7m8ZWMnPvvxCx0cDVFpNTUKLTtGGSpaquwg7cHpyggkzCU0/M/Dg9hzdD7vNi2d3VizeXvRP1tNJjA2eCjnfVvbQwh4+LFkOXrqrXZQYw5XKsrnxb1W4DYcSUJV9QJbu0dXu1UFipWKnOeTZVtroZF5hjNKSQwV7Z/N/x5AxQt5PebyUIHgLlUm8Yp2meGSmiG2RGWlIqKU7PZnPlZvI6IKY7BSERFRQdwxElE5jWQW2P6sts1HrIkfRZHh9SoFtq4s3/3RX7Fnr5mfwxsuOQk/uPZ1Do6IqHQCfmEijKGiJbv3kWHb7XeevMahkRQvqRu4/h/DeHI8nHebtdt2wRcI5r0/n+EDe3OuVyQJm1vZAm05WoV2UGNR901WSwDaA1bwqSHkw5knr3JuQEVoabJCFqxU5LydvQ22VhojrKZTMooErKq3Xu9PHuX7fSn5hMDBCCtsVR1b+zOGimqGrVIRQ0VEAADNnikCM0VEVGlYqYiIqDDuGImonKxKRQwV1bTZcMJ2u66KWqBFogm87h1fx9jEDIBU7/hzz9qM23/zTgQCnkW+m8i9+lY12SZwB9j+bMmyqzol9MqozJKhGcDPnhrN2wrN4/Vi7dadRf/c6YkxxCK5K2BsYpvUZakTQrpurFRkANg3a/99+Mz7znRmMEUKCYGtQVYqctwuoU3iRDSBRPbMFS1bd8gPr2KdGnpsgu/3pdIW8NqOpdj+rPrY2p8xW1IzErrV0pehIqIUg5WKiKjC6WClIiKiQrhjJKJyMkNF2a1gqLZMZLX+CYUCebasTHsPjOKC134OBw6Pm+s2rGvH/X96Lzrb6x0cGdHynbBrtbkciSZxdIqVOopx/c1Pmsvb2+vx6i2dDo6meKpu4MdPjCCWp1VV77qN8PmL35cfHRnKuX5tc/GVj2pdvVe2TWC6sVIRAFy3d5/ttl4BWRBZBjyKEARgpSLHbe6wjqdY7aW0+hqs/a+mG5hTVQdHU122NVuv24SmYyKSKLA1VSJxEl0GwyW1IqlZx8deBieIAABaVqjIw98NIqowBisVEREVxB0jEZWTGSpqaw7aJmeotsxHVNsJ11Cdv8DWlem5/aM4+1WfxD0PPmeua22pw11/eDd2be9xcGREy7NzW7e5zNZnxfvVrc/abl9z/la8eF2rQ6NZnumYij8dOJrzPllR0Lt+U9E/c2p8NOf69qAXoSpqjbkSju9qNCtg6IaBibg7gxZ7ZmbxxNS0efuxZ8YcHM3SbF3XZq8uMu3OwFYt6W+xgi/DbH1WUmsarYBoRNUKbEnF2txihYpGw3FUQKaSiiQGZWVWrKkZCeGJZ6UiopTsCwcUzjoRUYXRDVYqIiIqhDtGIiqnkcyCLEtob2EVglomHpc31FdXpaKMyakwXvHGz+OXv3vAXBcMeHHLT6/EGy450cGRERVv47oOczm7nRct7h97xm23JUnC20/oc2g0y3f/0DRm4rmrVvSu21j0z5ueGM97X1eoelpjroRdnQ3m8mQ8vuDqYDdpD1hh4kTS/e0Ad25uN5enIglEkgxaOK1bCL6wUlFpiZWKJuOspFNKa4XHdiBPS1GqbOJ7r0fiKdZaIbY2ZqiIKCVrMp5VvIio4mR12PY4NAwiItfi0R0RlVMUwFTmRld7yMGhkNPEEwz1Vdb+TBRPqPjnd38LX/3OH811iizjsx+/CO+84gwHR0ZUnL5Vzeby4GjYwZFUJsNYGMYSQyCVQjOAOwemct4XqAuhpaOrqJ+XiEWRiOVuJdVVX31V7MppS5t1XDUWc/dk9dB8xFy+6EXrsXZVo4OjWdzmdS3m8tCMux/bWtFaZ4UOR+YZKiqlNQ1CYIuPbUmtClmhoiGGiqqSPVTEcEmtEENFsiSBuSKihe3PfKxWT0QVJms/xlLaRERZGCoionIzW6B1ttU5OQ5ymKZZJ95CddUbKgIAwzDw0c/ciHd9+DrE40kAqSolH3z3udi6qWOR7yZyhw4hsDA4MuvgSCrXvQ8P226HfAp8FXj0/dDILNQ8VXBau4pv7zg/O5NzfXvQW/TPqmX9zdZ76XjUvUEAjyThNwOD5m1ZlvCBK05xcESLW9trhZ6GZnKH4Ghl1fusC0WHwwxnlFJfoxV8OTAbKbAlFUt8Xxucde9+mpZPE/r9KEyW1IyEZq9gyIosREAyq8RH0MP5eCKqLJq9jyNPUBERZeGnHiIqt6HMAkNFtU1VrVBRtbY/y/aDG+7Aq97yJYTnU5NfsizhG5+/xOFRES1Ng1C5YHCE7c+W4+pr/r5g3V8vP9WBkRybqKrjmYn5nPc1trbnXF9IJJz79dTGUFFRukNWZSe3Vio6t6cb333B6bj6+ONs690+8drTWW8us1KRO3iFq92HWU2npPqE9/unpvh+X0qNPut9jZWKqpN4RbvCSkU1Q6xUBLAFGhEAqIZhq1Ae8jJURESVhZWKiIgKY6iIiMpNqFTE9me1LJG0TrxVc/uzbHfetwf/8fmbzNub1negv6+lwHcQuYNPOAnIUNHyJJI6Hn9mzLaurzGAvsbK2wcemM5drSXU2FT0z4rN526nJ1YiocU1B6zHy42honN6uvGOrZtR5/FAFiZaDcPAdTc/4eDIFtfWZP2OMlTkvPVtdZCE19BImKGiUukI+myVBB4dZ2XCUgoo1im3wVnuS6qRUIyX1WpqSEJjqIgol7jwu1HHUBERVZisSkU8QUVElIWfeImo3MxQURcrFdW0RNIqER6q8xfYsvpc97PbMXE0FcqQJAmf+/hFDo+IqLBN69ttE7iDowwVLdfV19xpe/wkSYJPqbyJhyN5KoP4AkEonuIqDCXjuX9WwMOPJsUICifq3RQqavB6cfXxx+GqrZtz3n/HA4O477HRFR5VcepDQnURtj9z3K4eqx3dfFLFbEJ1cDTVpV9ofaYbBsZiCQdHU10affZA5RDb9lUl8Yp2HsXUjnhWpSIvQ0VEAOyBO4aKiKjSZFUqYqiIiCgLP/MSUblZoaJ2hopqWUyYAKqV9mcZ8YSK7/zor+btM05bh5edt9XBEREVdtz2HnM5PJ/AbJiTjMv1xJ4JfPl7D5q3Vd3AvqnKCylMxfJP4nu9vqJ+lm7oOde7vSWWm7QG7JPVY1H3TFa/d8c27GhpNm8bhoHbHxjADb9/Bu+4+k+48qN/cnB0SyNWamOlIudt7Wwwl4dZpaik1jZZoaKoqhXYkoq1vcVqo6jpBkb52q1K4hXtMtuf1YyYbj8u9rBKFRGArFCRwt8LIqosKisVEREVxB0jEZWb0P6MoaJaFhUmpGup/VnGt677M654w4vQ2d4ESZLwzS+8Bq984/fxyD+GnB4a0QLbNneZy8NjuVtV0dIdmZg3lxUplerPHatxr6wy0DZSkRMphp77X8/Tzkt3olC5RdV1TOap/rTSzujswE4hUDQ9G8Pnv/cgbvzDHgdHVZyejpCtUtswQ0WOWy98hhjJUzWNlmetUKnoaCzp4Eiqz8Ym63V7ZD4OLf/bKFUwXbiiXWGoqGaoWYeyHj73RABge6/zMFRERBWGlYqIiArj0R0RlZuZmGCoqLZFY2L7s9oLFU3NzOOdH/xfaOkrtxRZxo+//UY0NdbeY0Hut25tm7k8PMpQ0bGamIyYy5IkwVeBbb4Mg7OhbrKj3arcMhGPo5zPjgSgweuBf5Hw2K6WZrxz2xbzdjiSwCmX/LiiAkUAsHtrh7kcS2o4GmGlNqf1NlnHSqMMFZWU2P5saJ4BulLqb7A++7LCVvUSJ59YcbG2iMfGHj73RABSF9BkqFqlXUZDRLVOY6UiIqKCuGMkonIzKxU1Nwbg9ymIJ1havxaFhUm5xoZggS2r1623PY73fPSH+Npn3gIAaGwI4P7/ey/e9p4bcMc9+50dHJFgdY9VaWToyJyDI6kO2e97v730BJz3k4ccGs3ycKLMXTa1WpPV47HyBQHO7OrE5RvWo9mfanE3FY/jSCyGkUgUSV1HQFHQ7POh1e/H6pA1JsMw8P7P/a1s4yqnzWtbzOXhWYYs3KCj3m8ujzCcUVL9QvuzZ6fnC2xJxeoVKrPydVu9xLknGTxWqlUMFRGliG0gWaGPiCqNykpFREQFVd5l0kRUaY4A1gX0XaxWVLNmhZPpTTUaKgKAH9xwB2789T3m7VCdDz/+9hvxv197LerrfA6OjMjS3hYyl4ePsFLRsRoYmcN9j5oZW2xuC+GqE1c7OKLiNfrzn09JJooLXuRrl8YTz0u3RqjcMhYtT/DljM4OvGv7VjNQBAAtfj+2NjXh7J5unL+qF2d1d+G41pYFgaJ//9Lf8dd7BsoyrnJb12eFKtn6zB2aAl5zeTDM56RUPJKEvgZrX/LE5KyDo6k+XXVWGG5ojq/baiVWKpLZAqtmMVREtBA/2hFRpcmqVKQ4NQ4iIrdiqIiIyi0JYCxzgy3Qatdc2KpUVCecZK9F7/jA9/C9n9xm3pYkCee9aAueuudD+Pn334x1/a0Ojo4oVUUrY4ihopK46iO3muFKSZLw4TPWY3dXwyLf5R5Nfm/O9WoyATWZLOpn+QO5g6UxlZUMl6ozZAV9xmOlr4Cxo7kJ79i6uejvSyY1fOSaO/GLW58r+ZhWyqrOenN5hJWKXCEgtIwcYqioZNY0BuBNhzwNw8CDY9MOj6i6tArvm4dmog6OhMpJFyafmCmqLeK0o3eRFrFERETkfhorFRERFcQdIxGthCEAXQDQ2R5aZFOqVuGINelcF6ztUJGm6XjvR6/HX+54Etd88nJ0dTQBAGRZwumnrMUdv/1X3P/wYXzg6t/gwKFJh0dLtcjvsw4Rh0bZ/qwUwvNJvOl9v8NPv/oKBAMeSJKE7160A6d8716nh7YkzYHcHxtikeLb5QTqch8LzMTVon9WrRJDXqVsf7arpRkXrF6FE9tazYoLhmHgPZ+6DUNjYZywvRPbN7Shf1UjFFlCLK7hyNEIhsfC2H94Gr/7234kVL1k43FCR6sVemP7M+etagpAEmbqWfGldNY3WRd7qIaBSIX/7rpN0GNd3HyIVc+qlvhbw/ZntcvLSkVEREQVT9UZKiIiKoQ7RiJaCcMATgRYqaiWzc0LlYqCbPMFALf86WHcff8efPT9r8brX/18M2wlSRJOO6kfd/z2XzEXjmN2LobpmSimpqNIJFV4PQqmZ2P47R+fwB/+8ozD/wqqNp3t9ZCFE+Nsf1Y6Tz47gU98+U587kMvAgB0hfx42wmr8Z1HBp0d2BLkDxVFiv5ZfoaKjlnQa10RP5YjVCQBOKu7C6e2t6EjGIBHkjCbVHE4HMbjU9M4OJf6vfYrCtr8fqxrCOGs7i70hezPjWEY+Nx37sfv7zgAAHjsmfHy/aNcoqnBCj6z/ZnzTlpttaOLJDUcjRVXGY3yW99sfS6b5v63pBp9HlsrrMOzrFRUrcQ2GcyV1BbDADI5smptf6ZIgCJL8EgSFFmCLFnLiiTBk/6qZNbZtk212fQpMvyKbG4rC/fLSH+VJEgSoBupY0/NAHTDgIHU19QfZH21ttONVHWJ1DoDhu125mca0PXUelVP3U7qBjTdgGro0PT07fTPIyKi2sNKRUREhXHHSEQrYTiz0MVQUc2ytT+r8UpFosnpebzvY9fjv774S1zxhrPxzreej9aWVOsVSZLQ2BBAY0MAq3ubF3zvK166A3+/Zz9e9/brV3rYVMVOOG6VuZxIaBifLD40Qvn98o/P4jUXbsXJu7oBAFedWBmhonztz+LR4l8fgbrcxwLTMU5qL0V70D5ZnV2pyK/I+MjuXdja1LTge7c3N+Glq1ctWJ9LPKHhE1+7q6JbmS1HUAjQsVKR83Z0W20ih9n6rKTESkXD83xsS+m4Vut1m9R0jIRL36aS3EGcfFLY/6ympCIvqefcDe3PekJ+vOvEtegI+qywTzrkI8uwh4Ay6yV7ECizjZz+Wqt0w7CFjNR0+CiZXq/qurk+8ydz2/oePefPyLxqJEmCBGA2oeK6JwYxHk0sMqrKU7uvICKqVBorFRERFcQdIxGtBPMsqtfj/MkWcsYsKxUVNDk9j89fewu+9YM/4x1vejGuesu56GxfOCGc7czT1+PNrz0FP/jZAyswSqoF27d0m8sj42EYvFKz5H5885NmqKglmDus4zalbH/mD+YLFbECyVKc0N1oLqu6jqm4fRLisnVrcwaKlmpiKoof/upJfPuGx6DXWDckj0eGIlZqY6jIcetaheALgxkltUGoVLR3pvh9OeW3NX2BAJB63bLqRfVKakKoqMhgiQyrQosMCZIkVm8RKrikt5MlSfgeacH3m9sIt/PmnPK8JnOtNvJtnLk/6+6FWxt5bxX+XiPndrJYGUcSqt8If1JBGvu6zB8p60GR8i3nefAyaz3C8+2GAM77Tl6Hl63vdHoYVUGWJMiKBK+y+Lal0NcQwLv/+tTK/GVlJv4OM2dJRJVGtR+YKEi97fNInogojaEiIloJPZmFiSmWfq9Vc8JEUJChorzmwjF84Ru34Cvf+QNO2LkWx+1Yg9bmenR3NqGpsQ4ejwJN03HJy08zv+eKN57GUBGVzKb1Heby0Chbn5XD/sPT5rJHltHX4MfAnLsny5sDeSoVFRkqUjxeeH25q9WxUtHS7OywKmBMxOK2M1yKJOG8XvOwC9OzMdz0p+cQiSaxrq8ZJ23vRFd7yGxxaKSvuA5Hkth7aApfu/4R3P3IMGrVlrUttknEEbY/c1xPU8BcHo24ez9ZSWQJWNcUNG8/OjHj4Giqz7pGK7A1wHBi1Qh4ZOzubMDxXQ3Y2laPtc1BbG2z2oae2t6K77zg1HQQyAoFmeEfcR1n26uKG0JFrXmO1cvJMHLHwDKrDVityIz09nr6/sx9RtbPyVTwkSRAgpT+aq/uY9sOqf+l1ov3W+PKfnbyBcacsqo+sPhGRERUdtrCKwEUADxRRUSUxlAREa2E9szCFE+q1qypWSFUFPBBliXovGw3r2RSw/2P7MP9j+zLef9tdz2Faz/7zwCAXqFqBdGx6u9rMZcHRmYdHEn1SmpZ5V9cdmI7m1eWUJen0mCxlYr8wWDe+6bjrFS0FBuFyi1jWa3PeuuC8Cupy6oNw8BLr7wJR6cXHnsFfDJUHVDVGitFtIjtG9vM5eloEpGk5uBoCADaQ1YIcXSeoaJS6Q0FEPBYJRjuPzJdYGsqVm/ImiAe5OffitJb78Mpvc3Y2V6PDa116GsIoL3Oh3qfkrPKjcinKGhVVqi0CbmKV3G+Ird4amU+qeIPB8ehGjpUzYBqGEgK7bhUQ0dCS7XoUg0goelI6gaSWmqbuK4jqetIpreJ6wYSmo6EriOhG0ioqfsr+SjSIwM+WUZAkeFTZPgVBX5Zgt+jwCvL8CtS+qsMryLBJ8vwKqn1HkmGT5HgkeX0+tS61NfU93nkVAs5T7qVnCe9zkgHrHpCAXTV5b7QopJ5hH2kWMmNiKgSaAtLtXvAUBERkYmhIiJaCeOZhY6W3C1PqPrNZFXhCAZ8mOcV58vm91lv4QxnUSl1dVgtOwaG5xwcSfV606t2mstxTXd9FYN8rc8AIB4trgJhoC6Uc70BYDbOczVL0ddoTVaPZ4WK/MJkpmEgZ6AIAGKJSp4GKp9N/VaocniG1TXdoEnY/wyF3b2vrCTrm62Ap6obmE5w/1tKbQGrKuvgHF+3buKTgd1dTelqQyGsbQ6iO+RHc8CLgEd2dQWh7Kow9vvSX5Eq/WKkbhxzv44Fj8YxPjwFvz3vnZJtyaxwY6QeE8MAdOGrbhjQdQO6ARh6qiJjZp2mG+bjmLcNm3Ajf6s2A2u7G83Kjx4XvG50YYB/H5rEZx7c6+Bo3E/VU22EIw4F7N+1ey3esr3Pkb+7nHTht0ZxQQUvIqJiqAvPr3P+nIhIwJ0iEa0Es9RKX29Doe2oik1mTc4FgwwVLVdjQxDvfttLzdujYwx+UOk0NVoTjYOjfG2V2uruBrzmwi3m7afG3N9iriVPOwXDMIquVBQI5g4VzcVVMB+5NF1C5ZbsSkW2ct08j1+0tautyn9DLg/71YqA1wrKDYd53Fgq65qsCz3mkqwSV2qNQvifoaKV1xPy4aSeJuzqqMfG1hD6GgNoD6aqDXnkwtWGFqPrBkZmYxiYiuDwVBSnr2tFX/rCKV03cPX3H0BS06FqOnSz8gugaXpqWTOgqrpZESaZXtbTy6qup+5XdahaqqJgIr2e3OWR716CxlAqQOiG9meqECpyw3ho6arpI5C4q/LwZUhEFSZPpSIiIkrjTpGIVsL+zEJfD9s01arZcMJ2OxT0YwIMLCzHl//rTVjb1wEgNal/9Wf/4PCIqJoE/Nbh4cAw25+VwhknrcKZp/ZhcjqKtpYglHSLhKSm4/Jf/8Ph0S2uOU+oKB6NwjCKm+Ty56lUNMMqRUsmVm4Zj9lDFjHNatclAfB4ZLY4K8LqLiv8PjDFSkVOa/B5bFVD2P6sdPqFAPF4NFFgS1oOv9AKie3Pyuc/ztyIizd3wqfIUGQJsiRBkXBMoSEAiCRUHJqMYGAqisNTERyejKS/RjE0E0VceF+97MTV+NwrdwEAZiMJ/OQvrA5TK8RqBj4XtD9L6mKoyPnxUG3SDL4OiahyaaxURERUEHeKRLQSzEpFa3pYqahW6XoqAJM5yRsKVV//+JVw6cXPwyUvP828fee9B3DbnfsKfAfR0vX3tdgmYgZHGPw7Vh979/PxplfvzHnfQyOzmK2AljMtedqfxSLFV1kKHxgMdQAAIABJREFU1OVugzodc//j4BYBj3WCPrv92WTcCl1IkoTdW9rx0JNjKza2StfWbLWWG5xmqMhpO4TPDbphYDzC8EuprBVCRYfn+FovpbaA1xaGY6Wi8tjaFsLlu3qXHSAanY2lg0OpikPm8mQEE/Pc19DixNC23w2hIs0aj4+VisghYqjIq/B1SESVRWWlIiKigrhTJKKVYFYq6moPIeBXEItrhbanKmUYQOa8b31doPDGtEB7WwM+f/XrzdszszFc/i8/dnBEVG1OOb7PXA5HEpic4UTYsTh+e2feQJFhGLj69sq4mr0lmLtSUbGtzwAgEKrPuX4qxvY7S9EetFduyQ4VxXUdY9EYOoOp99j3/fPJeMMHfr+iY6xk9ek2JgAwwFCR43YKFU7HI4lcJ3lpmdY2WaGip6cYIC6lXa1WGC6u6RhjQKUszl/fXjBQFEtqODwVsSoOTUZwKB0aGpy2VxsiWg5Vc1eoSNXZ/qxSGVXUAE2smOVXlAJbEhG5DysVEREVxp0iEa2EAQAq0vuc1d0N2Hto2tkRkSM0XYcsp04s1IcYKirWR977SrQ0pybkDcPAG6/6EdvaUEnt2NZtLg8Mc5LxWLS3BvHzb7wy7/0Pjczi6aPFh3Kc0OzPEyqaL378QYaKjskJ3VbIQtV1TMUXTlbfNz6Ol69JBQRPPa4H//WeM/DRL9+1YmOsZF6hCtQQQ5WO29hmtUscYeuzkgl5FXTWWRVDHx5nq9NS2txsvc8Nz8WqaKrYXba22dupvuX6BxFLaogmNQzPxDAeXpl9hjj5JB9j2zWqLLbKQC4IFYlhDi/bTrletT5Dqi7+XnCfSESVRVt44M75cyIiAXeKRLQSNAAHAWwEgDU9jQwV1ShVM+BNv/Ow/VlxTti1Fm+57IXm7T/+9Rk88o8hB0dE1WjjunZzeXCUoaJjcd0XLlyw7oHhGUSSGkbCcXzoL886MKrlydv+bL649mcSJPgCwZz3TbH92ZLs7LAqYEzE4jknq391eACndrSjK5h6rC972VacvLMbb/vYrRgYKb5lXa1Yu6rRVvViaIaVipzW32rtL0YZKioZsfWZYRh4Zor7hVJa12i1+RyYZTixXPobrQtUfnT/YfztuXFHxiEGOWRWh6kp9vZnzj/3YpiDlYoqSzUVYlRtlYqqNTpFRNVM1Q3xfZTz50REAh7dEdFK2ZdZ2L2tw8lxkIPEE28NrFRUlP/++OuhpE/KJBIq/u1Dv3R4RFSNVvc2m8sDw6xcsFwb17Zgy/pW2zrDMPC/jw7i8l//A//vL8+iUmqMKRLQ6M8TKooWV6nIH6yDnOfK6WlWKlqSja3WZPVYLPdk9VxSxacfewIzCauK0YY1zfjT91+Dl565ttxDrFg7NlqhyvmEihkG3RzX3WAdKw6GGc4olX4hVBTX9Ip5P6oUvcJnnME5vm7LpVO4QOXQVMSxcYgtsFipqLaoQjkDxQUhnqSt/RlP97ud+N5bTfuOuLBPDHjY/oyIKk9WCzSGioiIBPyUQUQr5e7Mwutevg31dblbqVB1SyQ1cznEUNGSHb+zH6edtNG8/Zmv/AURTnZSGbS3Wq0kBkZYqWi54vGFv59X3vIEbtk74cBojk1TIP/7dbGVigKhUN77GCpamj6hMsNELH/llpFoFB97+FEcnLOeI48i4ysfPQfnnN5X1jFWqi3rWszlEVYXcYWWoLX/GVmhVka1YI0QKppJcN9bau0Bn7nMSkXlIwaeD086GCoSJp6qKBdASyBOOnpc8OSrtlCR8+OhwlRb60QHB1JiCSFsF2ClIiKqQJrBUBERUT48uiOilXItgDAAtDQG8MaLtzs8HHJCImGFiuoZKlqyC8493lwOz8fxnR/e6+BoqJrV11tXfbNS0fINjMzhrgcHbeuiycqsBdHoy38OJR4trj1UIFSfc31E1RHP0byeFuoIWZPV4/HCk9Wj0Rg+/NAj+Mm+A9DTJ8ZkScI3rj4Pzz+ht6zjrERrVzeZy8MzDAK4QZ0QGhiZ53NSKuuarFDRkUiiwJa0HE3C63a/gxV0qpkMwCvMwjsZKtIYKqpZmu6uKlVJsf2ZC8ZDhdmeryqqLCVWKvJ7quffRUS1Q2WlIiKivHh0R0Qr5SiAr2ZuvPU1u1itqAbFhOodDBUt3aoeq43Sc/vGHRwJVTOPR4ZHuJpwkJWKjskPbnrCdnugQlug5Gt9piYT0LTiKqYF6nJXKpqKslLGUjULz0ehSkUZmmHgV4cH8OUnnzaDRYos4XuffglO3dVdtnFWot5O6/U5zOoiriCGBkbnWamoVNY3WW0Un5spro0lFeaTZdtk/r7p4sK3tDS7OhsgCY/zYQfDW+LV7BKDHDVF113W/kxjpaJKktDEUFH1PF8qw21EVOFUw3ZBoC/fdkREtYihIiJaSV8CqxXVtLjQ/ixYoKUO2YWFq/NbW+sKbEm0fLt39NomQwZHGSo6FlpW5Z2bX3OCQyM5No1+Jef6YqsUAYA/mHv/NZOjXRzlFvBYz8d4bOnBl3vHJ/CtZ541b3sUGT/6wsvwzU+8GN3tfF8BgPYWq3rL6CwDLE7b2BayvSeNMFRUEhKAtUKloscnZpwbTBU6qbPRfN2quoHDMwwVlcOJ3Y3m8ng4jnmhGu5KY6Wi2qUKx/qKC558sfKNG8ZDhSVd1j6vVMQCH9UUliKi2pG0n8tjqIiISMDybUS0ko4C+BGAqwDgonM24Fs/fczZEdGKisetE76BAI/Ll+rBR/eby2tWteAl52zBrX/d4+CIqBqdeNxqc3nsaARxBydoqsEDj4/gyWcnsGNzOwCgvc6Hfz2lD19/YMDhkRUnX6WieLT4qgD+QDDn+pk4KxUtRYNPtl0JP76ESkWiv40egU+WceWWTQBSFRVe/Px+nHv6GkxOxyBJqYmAQ0MzeGLvUfzg5icwMBIu6b/BzRqF9o+sVOS8HT0N5nI4oWKO70kl0VPvR1AIJ95/ZNrB0VSfna3W63ZwLmabNKbS2d5utVN1svUZkBUqAifQa4luuC1U5K7KSVSYLVRURc+XWL2Nr0MiqkQJ3VapyJ9vOyKiWsRKRUS00u7MLHjZX7vmiJWKAn5WKlqq3//5EYxPzAJITQJ/98uX4dfXvxWXvPw4yPw1ohLZuqnTXB4cmXVwJNUhGlNx6b/+Go89PWaue+32HgdHtDz5QkWJWOkqFc3FGRZYit2dVmUG3TAwGS++csufhkfwlSefRkS1qkNJkoS2liBam4NobwnipJ3dePMrd+Av112Kh375Rtx87cW4+p3Pw/q+ppL8O9wqKLzWRxkqctz2LiucwdZnpbNOaH2m6gYmE6wUV0qr663w7FCFtj2tBOuarcf5kJtCRZw/rymay0I8tvE4PxxahFqllaUYpSWiSsdKRURE+bFSERGtNPOsX5yTiDVHrHwSdHmoKFTnx0m716E+FEAw4EMg4EMw4EXAn/oaDPoQDPjg83pw9wPP4qZb7i/bWCLRBD78qZ/hu9e8HUBqAvik4/tw0vF9+OInL8bDjw/ibe+5ARMOn1SnyrZ2Tau5PDDC1melkEho2HtwCru3pQJblXgVaoOvdJWKfHkqFc2y/dmS7Oq0QhaT8bjtSuBi3DU2jiempvGKNatxdk836r25348lSUJjvR87N/mxc1M73vCK7fjl/z2HD33h7zm3P+PEXhgGcPcjw8sal9MUYQZudI4hFqdtaA+Zy4NhhjNKZZ3Q+iyc5L631PqEUNEI9yNl0yNUljs85XCoyGCoqFZpmhUKccMhvv2o0AUDooJszxefLiIi10iyUhERUV4MFRHRSjMPxhJJhopqzXzEanETCgUcHElhfp8Hd//uP7Cuv3PxjQG87fJzcHhwAg8IbcpK7cZf34tYPImvf/af0dxoXWWuKDJOOWENHvzL+/GRT/0OP/7Fw2UbA1W33m6rCsogQ0Ulc/Jx3eZyb0MA569rw2QsiSfGw4ipeoHvdIe87c+KrFQkQYIvkHu/P8dKGUuyqc3a9xfb+izbTDKJ6/cdwI0HD+HE1lY0+3zQDAMhrwdrQiHsaGlGs89+UZ4kSfin8zejucGPq67+M17ygn5cdPYG7NzUjp7OEJR06bzZcBwXveNmjIzPH9MYV9L6viZIwmwwKxWVXmPAgzqvgslIAglt8UDc6iZWfCmH9UKlorEIQy+l1hm05h0OzBRf0Y+WpjlghWFdVamIyYCaYq8M5PxzL1a+cUPIiQpjRR8iInfKqlTEUBERkYChIiJaaeYM1e5tnQj4FcRYsahmzAntK+pdHCrasK5ryYGijE3ru8saKgKA3/zxIfztrqfw5svOwoXnnYBTT9gAj0cBAHg8Mj778YvwpstOwZv+5cc4Mh4u61io+rQ0WxONDBWVjpoVHPruy3cCSE1EvOuPT+GWvRNODGvJGn1KzvXxaHGTpb5g0BbaEM2wUtGS9DVa75sTsdKELOKajnvGF74GJQCbmxqxsbEBa+vrcVpHOwJK6rVw7un9ePw3b0YwkPujZGO9H598zxm48iN/KskYV8K29W3m8nxCZfWsMji5rxkv3tQBAAgnNExGEjg6n8DY1CyGh4YQhhezug/zRup11SFUImGlotIRKxUdnGOFy1JrEqr7HZzm41suQaGNutOhInUJIUmqTm4LFSWF8cguGA8tXVU9WwZfh0RU2ZKG7Rwe58+JiATy4psQEZWUrSfG777zT1jf1+TUWGiFzcwlzOWGeveGipJZVbTmI3HMzEZxdHIeo2OzODw0hb0HxqEKJc8DgZVpszw7F8XXvnsrXnrZZ7Hpee/D57/+W6hqarySJGHH1m7ce+t7cMnLj1uR8VD1CApXfQ+MzDo4kury39++39YeIUORJXzjZTvwpfO2wOPSI3K/IsOn5B5coshKRflanwFsf7ZU3SErZHGslYoWYwDYMzOL3w0M4dqn9+D99z+Io8LfmS9QlCGGdCrBprXN5vLoLKu3lENr0DpOqvcpWNMcxAmrmnBCi4H++X3YMf8MTo8+jnMTj+GF+h7cd/tfcM899+CJJ57A5MgwmrQYZIMXIhyrtUK1y2emGUAvJQ8Ar1AeZP80KxWVQ19jwBZSPuymSkWcP68pYqBMcUFpoKTLQk5UmFGlrROFl2F1haWIqGaoui0wzlAREZGAO0UiWmm3A9gPYD0ArOltxHWfuwAXvu2XmJtPFP5OqnjTwkRdg4srFSWyWvFsed6noesLQwGP3vb/0NnRAAAI+L0L7i+3o5Nz+OSXbsattz2Ob3/xSmxY2wUA8HoVXPOpV+JfrjgD7//Yb/DIP4aW/Xc0NQYKnuSSZXvgIPt8avb9AKDrOuIJFdGYuqCKCzmjqTEARQiPDI6yUlGp/PXuQ9j1ku/jy1efi/PPXLfg/ku2dePizZ14961P43cuq1rUlKf1GQDEI8VN4gWCdTnXq4aBKPcDS9IStN5nxktUqWipxmNxfGvPs/jQrp22ibPB+Qgem5zEMzOzeFV/H9Y3pN4TkzmCdG7W32u1fxxlq62yaA3lDl/HIvY2eZKuwZucx8DAYQwODqS2mZjDjvR+wvAF0H/6ixCRfZiMJTEVS2IylsR0PMl9ySJCXgUdddbz8PD4jIOjqT6bW+rtYZdZhorK4ZQe64Kk+biKCYfPIag5PiNSbRA/x3pckAoRj71ckHGiRehVWuRMB8NtRFTZNPsOeuVP9hMRuRhDRUS00pIAng/gwwDeDUDq6azHJS/djP+96QlnR0ZlNzljnVyvd3GlonhWqChU58VceGHlgoRQ0SgQKN/nDFmWEAz4EAj4EAx4EfBnvnoRCPjg8yr4+Od+jg+9+2Ls2tYHIFW1aPOGTvz2J1fiuX3j+MfTI4hEUyfdO9sboCgSfF4P2ttCaGkOIhjwQpZleL0yPIoCWZEgpX9OOYlX6OW83/yftSZ7nSH8T7wvtWws+DkGDKT/s8ZgpL4a6duGgfQfQ7htQE9v6/d74PMq5uV3hp4KS2m6AVXVEIur0DQdhgHE4kkcPDyFZ/eNYeTIHMaPzmFkdA5jE3OIx1Womg41qUPVdSQSKpyYmzhpd5+5nFR1jI7PF9i6dGRZgkdJPYiabkDL00JCklJhOUWWzMc1WUGTx0lVxzs/9n/YuqEVF7xoPf7l8hNt93sVGdecvxW/23unQyPMrcGfu/UZAMRLVKmIVYqWrs5rPR8T8ZWvpvPY5BQ+8ehjeMmqXvhlGQ8encTto6PQDaAnGDQDRQDw27/uW/HxHYveznpzeWSWoaJyaK3LfZwUnV8YYq33eWzHH3FholRKxLChvRmKZ+GpjJ/vGcHTkyvz/lWJNghtTg3DwNNTfKxKaXe7FU4cjyQQSVbOcUol2dlh7a8PTznfYk6t1mQALUoM8XhckOLR2HaqYklVVNNHPJfBlyERVSKVoSIiorwYKiIiJxwB8B4ACQD/HwC88NQ+hopqwNFpa6KuoT5/KxynxeNJ2+36kD9nqEhsk3bOC3bAoyjQdQMejwyvNxU68fu88PoU+Lwe+H2e9Pr0H1/6j1eBN32/z5vexqfA7/ci6PfB5zu2t+tNGzqwaUPHMf2MclkstCSZ/7OtqTibN3Ti/LO3LHn7xcJWqW0AXTegahr0fBMaRlYmK/2N2evqhbZKXo+MH37xQts2meFkxmUIAS0JqWCQosip175HtpYVGYoimes9HhkeJf3HI0POcQJe11PhLV0zYMCAR5FtVZQyxicjeGbvUTx3cAp79k/i6b1Hsf/wNOIJ97bHeWbfpPnnBaesxqUXbjXv8+ao6uW0pjwV2BLxGAyjuMnSfKGiubh7ny83CXhkKMKvy0pXKsrYMzOLPTML2yMGPVbgyTAMfPH7D67ksI5Zb2fIXL5k9yrUeRU8fSSMvRNhPDMWxqHJCJbyipcByDLgkWXIAKQCv9aZXyFFluH1SPDKEjyKDBipyheablXA8Kf3nX6PDMMAEqqOqKohrmqIqzoyGUuPDMiQIcsw/34lPRZzjLIEGRK8Smrf7VVk+OTU/liWUlfO67oBHQZ0PT1RKqeqMGTesjU9fSW6njrp6pEleD0S/On9e0LTIQOp/bcsIehVsL2rAR5ZgiJLMIzU5KcBYERKIhbymeFfA0Bz0H7ck2nDaBgG/ME6NAX96RBw+pvS/1ckCZ11vlQoGgCkTEAa6XXWL5EBw/wZmRCyAQiBYzOqDCDrvVR4b9UNA3p6W91I3U6tTy1nfo5kG4tkVpGQIJnjy/w94ntsZiyZ50OHAQlAwKNAkSRo6cCznn5Ms9/gJSlVoaje68HFG7qE9RK+dubO1HMiSfDIEjxS+nUoy1AkCYqcGVfW42Zk/u3Zj2PqPvHQLvOYZ+7T049z5qst5C0+xGIoPP1VF45BDPFnIhP8Tj0+mb8n83dkH2kYSAeZDQOqbkA1DAQUGR5ZMp83zTCsx92w/n26kfp5spR6Do/GknhuJox7RqaxrcUKu+x3QdilWm1sscJxhxxufQYsuJqdaoh4gYMbQkV8JVYW8RjD+VdP6YiVihhuI6JKpNrPxzJUREQkYKiIiJz0d6RDRV3tuduiUHU5Om1VtggGfFAUGZoLW6REY/Yy+i1NQYwcWTiJKlY0Ouv0bTjr9G1lHxvVhqVUiJKkdKUfT+nDKKce31vyn7lUmQlv5C+SAwDoaK1Dx6l1OPNUq8qSpukYHJ3D6Pg8xiejiESTiMVUGIYBWZGt8FP6a2bZFm4yA1T2Cd3UV/uEJpBqL6DIMmRFgiylJswlGcIEsjURD8maQM42EXVfC9B87c+KbX0GAP5gnlBRgpWKluLE7gZzv6AbBsai7qqmMxW3Xr+SJOHFz+/Hn+8+5OCIitPWbH99vmx7N1623bpdKOhZ7op+1W7wPqChvb7gNjvbrSpY3d3deNn6zpzbvVwIzdDiTu1qdnoIVcMwDNu+YN+082GXarW60ap264ZQkXg1O98PaosqnMdQXBAqospSrXlE8d/lvktmiIgWl1WpiPPnREQC7hSJyElm6RdPjioUVH30rACRW0+8xuJJqKoGT7ryQkdbPVIFtuwef2oYWzet/ASWFWxIXbWeactlZCq86Kk/Xq8Cv8+TsxoMAPz+tn0YOxrB+NEIJmdiSCQ1zEeSCM8nEE5/jUSTi1+Ba2TftK/InouVJclWvUZR5FRARpKA9JXfkpQKekgAJFky75ekTEhDgiynr/aXU5f4y+L3pP9nVgQQQh6Z9eLPk2XJrNIgyWI4RDJ/riwBipKq5jA3n8BcOAFNNyBJMCvv+Lwygn4P6kM+yOmKDC1NAfSvbsKqrno01PvQUO9HKMiLXcpBUWT0r2pC/6omp4dStIPTxbUTWwlNgTyhoiJbnwGAP5g7PDzD9mdLcmKP1VbnaDyeffWc46YSCRwMh7G2PhUOedcbT6ioUFG+98kMtx6vVIP5+eJacDU2Ni6+EdEKy95HvH5HL8bnE7h5zxEcYkvFnDwy4BeqNIqV3TIV1zwSIEmpamvhhIp5VUdHnc/cbv+E8y38Elmfb0MBD+ZjPLapBQmXVSpiqaJKIwYSHRxGiYlBfB4/E1ElYvszIqL8GCoiIieZpw51l02OUXmIJcKB1BV9bj3lOheOoqU5NTnanucK+o9+6hbUBb3YubUnHYZJhVQ03YCa1JBUdaiqhqSqIZHQkEhqSCZVJBIaYgkViYSKeEJFPK4iFlMRiycRjycRjauIRpKIRBOYDccwF45jdi6GmdkopmdjSBRZ2eMj7zsfV735jAUtpPpXNeHGW57BXQ8NLe9BomXzKBLqgl54lFSFGwmwwlXpMJKUDl/JttCTZJ5+VBQJoaAX9SGfLZhpazuSvpFZZwarstZ98aPnmN8zNhXBbQ9arwlZ2A5Azu9PqDpUTUMiaSCppl77iaSGRFJHUtUQT6b+JBKp9fGkhnhCQzShmW0EvYoMWUm1AfIoqcCZJEmIJzRE4iriidTP9Xtl+H0ePG9nF47f3IENq5vQ3VYHv0+p2BOXhmHg+4+67/ewMW+louIn8QJ1DBUdi+3C+9Bo1H0BNAD4y/Aorti8EQCwdlXlBD9k2R4qenZmGrphoNXvR7PPD5+ySNk0stENw2x3kWo/lW6Jlb6tI9OKDIjFY0gkkwt+hpwODwMLq0TV1xeuarSY7IoytSL73x1OqrjnyBRUQ4cqtAJL6DoSupFqwWe2b4PZRiwT3JYz1fgghMHT9wld6cxjlsz3KZJk+x6hkJ/JPL7INE8T2tdJOZYzrzdZWjie1HGTYQu4y1Kq5ZucHo9HlpBM/9vlHN9vVh1M/x26UMmwxe9Db50f/hz7iX87dS3+7dS10HQDSV2Hpi9sP5t6brJup5+vBW3hzCqJhu1xlTOfQTKPQSagL1RGFNu3ZX52ptWb2b5PN6Cl2+jFVR1xLdNmUTfbxBlG6u8IeBR4ZQk+RUbAk/rjV2QEPAo8cvZrwt6G0Hqei/89zH4d750IF/0zSi2R9fm2PshQUa0Qz214C/U7XSFxsXJSDb7PVRrx+XJjG+zlEt/S3JC1IyIqFkNFRET5MVRERE4y65UH8kxcUnWZnovbbofq/LYWYm4yNx8zQ0Wtzbknw8ORBN7+vhtWcljL8qkv/Qnfvu4ufO8rr8fJx/eZJ+N3bG7HdV+8EI89PYZPff0ePPLkwmpMVB6qZmA27J52V//1gbMQTFel+fT3H8Qtdx50dkBL8Miecdttn0fGyds7ccr2TqzubEBnaxBBvwd+rwJIgK4bUDUDmpaa2FM1HaqW+mqkJ8rEiczMzFeuMJUY1tJ1IzVRaKS+alq6WphQUcww7C3UzjyhFx0t1n7ljb/6B/4+MFWeB+oY5Gt/Fosup/1ZnlARJ96WpL/Jas81GnFn1YukLkysVtAkwoa+Ztsk9TeefhwxTTNvBxUPGrxeIdRpBRT09Cy/NflvCO0RjXQ4YOHfae1rrIBCZnI/c38mHAGkJv4zAQ8A6UCEJIQj7MGJzN+vm7ftgxD/TsNI/Tsy+6zMHi8TABADDraASNY2mm6kHg9Y6zJ2NLdid1v7gsdhZnIK++ZmFqxfXVePOm/q/G04mcBYzNrnNMbmkTxiD2FKkoThyBzuHx9J/fvS/9NTSyjUaFc2v8pI/5djGyG4C6uiihWqST8XwjIA2/Ojm0GO1COTCVjBMMzXkflDgVQb0NQ/zgy3KMLPjqoqkoaeCsVIsnl/1gMDGAbm1ASSmo5PnnSm+Vq/8o7HMOzSfUml8ckyzuxuxdUnbcl5vyJLUGSGE0shO4i0b9z5SkVZE08I+Hheo1YkktaxghsqFUVVazxy9vsBuU5CtfYd1RQCE497q+dfRUS1RNVtnx4ZKiIiEvDTLhE5yby0kK2AasPklH3yIhj0AdPOnwzOJRy2xtqSJ1RUSSYm53Hx5d/Bicetxjc/fyn6VrWY9+3e1okbr70YN/7uGXzum/e6KuxCKyPgtya7Bsecv+p7ORKqjrsfH8Xdj486PZRFfejNJ+HKV+4AADx7dN6VgSKgQKWiIkNFiscLj9eX876Z+MIqJbRQd73fXHZjpSIJwMtWrzJvj4y58709l+0brbBLVFVtgSIAiGoqolqthd8MIEcYaqnbZK8OevIEFCO59yUe4Yr9pP2kLoI5qp4ZhoFwMomEXig+lJtuftULpI/0gjcrwc7mdjOQoeo6jkQZKCqVhK7jUNi+X7790CR2dtSjrS73ex8du6lIAtNR548hsiae4PVUT8URKsxt7c+iwnhcMBxaRFx31+unVFiDnogqHSsVERHlx1ARETnJnLmuY6ioJiRU3Va2vi7oX+Q7nBOetyZbmhoCDo6ktB5+fBCnveRLeP0/nYQP/9t5aGsNmfddeuFWPP+kVXjHh/+IZw+4M+RApbeqq9525ffhI5UZKqok/T0N5vJoOF5gS+coElDvzV1ZodhQkT8YzHsf258tjVg1yo2hov76ENbUp95PDMPAF77JNFVrAAAgAElEQVT/oMMjWrpNa5vN5emEO38fK10oT6gomi9UJLwnJYzsUFHu/Umk5oJfxelvsFoSDkVi0DjrV1Jbmqzj6elYEpf/6h8AgN4GP/qbgmjye+BVrDZlGQtayqYrgClypr1c5n6rhZh4W0+3rVPTVRPVdNXETEu7THedTEsyT7rFrkeS0hWUrGVPus2u3yMj6JFR51UQTLc1U2QJ3nRrXt0wkNB0JDQDMVVHXNURTqqIJHXMJVTMJzQktFTLtKSe2jappVrAZcaV0FLrU5UercdDrKqmG/ZKaQGPjGvO24oz1qQujNg34Y7wqpZVqciX59iJqk8i6a5QyLQQ1JcAeGRArcAQbK2wtatL7/Or7a25FtvNElHlY6iIiCg/hoqIyEnmzLXXI8PnlW0nZqg6GbBOkIfq3Bsqisask3J1VXiV8U9uegg/uekhvOW1p+LjH3gpAoHU56TV3Q244dqLcdW/34r7Hh1xeJS0Ek7Y2WUuR2JJTM6wekG5bV5jhRgeH5tzcCT55atSBCwnVJS/2tscQ0WL8siAV5iscmOoaGOjFViIxlT8+e5DDo6mOGt6rLFPxhkqKoc6T+5zsbkqFSmSDFmoVJTIqhwVyFGpCABiqvMVS9ysJ1hvLg+G+T5fan31QotKISw8PBfH8Bz3K6VS77MCO/tdEirKbn/mY6WimpEU2o0pLggVTUStasOSJGFHawMem3Dn5wxaGEhUJAlqrp65FSa75S4RUaVJGgwVERHlw0+7ROQk2xkOtkCrDYZw8sTNlYpiceukXF2w+kJFGdf97H5sf8Gncfvde2GkPzjV1/nwvf++AOecvsbh0dFK2LHJav1Tqa3PKklrox/9Qojh7oFpB0eTX5M//3tyPE91kXzyhYrCSY3VMpZgd2eD7UrfMRe2LeoLWc9xwO/B+996MnZv7XBwREvX22lVGJlKuO+xrQahPKGiaGRhKECs9mAYBpK6NWnrUTzw+XMfO9Zei7ritAWs0MvgvPuCiZWuR7hQ4sg82wiXS69QPdYtoaLsDIDPy9OstSIpVJrxuKAiS1TVMSyERs9e3V5ga3JadhBNq4JAEQBbuSXnfyuIiIqX1dqWk1VERAJ+2iUiJ9lmJdkCrTaIV2RVSqWiYKC6C/vFYipe9/Yf4Jpv3WYGi/w+D77+yfNx+om9Do+Oym29UDVnkK3PyirgU/Cdj55r3jYMA/cOuzNUlK9SkZpMQCty8j5fqGgmxhDAUpzY02QuT8bjiOvuq+rol63qEbIs4arX7sYvvvoKPPX7t+AXX305PnDFybjikp04WaiM5hbtrdbrc4qVikrOI0nwKblPO0TnFwYUvZK1bfb0WjAUQj4RlfuTQhq8VkB+aJ7huVJrDzBUtBKahM9kB466I1QE2MMlPg/bn9WKpFBlW3ZBqAgAHj4yay6/oLfVwZHQYrKLW1VJpMj273DJrwURUVHY/oyIKL/qniUlIrcLiDeyy/9SdVI1HT5v6mRrfSiwyNbOicWsCYFAoHorFYm+cO1tODIexmc/9nJIkgSvR8bV/3YGLnzrL6CxnEjVWtXdYC4PMFRUVv951fOwW6gM9cjoLFT35UMA2CfuRMW2PgOAQL5QEVufLcmOdqtt0agLqxQBwIHwHIDuBeu9HgW7t3Zi99ZOc10sruKDn78Dv7/jwAqOML/mBisMcDTmzse3kuVrfQYA0flclYqEUFHWVfvBUO59iQEgylBRQX7F2qcPRfg6L7UWobrfkTDDieUQ8Mi2VqD7XFKpCEidx0h/vIUnT4iSqk9COIj3uKD9GQDcNTSJizakjrn6G4PwyUDCpZ81ap0ihKj1aqlSlKVK/1lEVOWS9vPftTEhQES0RPy0S0ROWp9ZSCQ1jB0tfqKSKo94RV99vXtDRbVUqUh0/Y0P4IP/+RtzIm9DfwsueOH6Rb6LKll7i9AShe3PyuaKV2zHq8/eYN7eOxnBJTc96uCICmvKU6koVmTrMwDw1+WuLjLLUNGSrBd+R49E3dm26M/Do7jhwEEcnAvjUDiM8QLhnIDfgy/9+9lorHfH+bmg8Fo/GmfYotRCntz7EsMwcoeKhEm27FYg+SoVxTQVetVc4196AdljO/HD9mel1+S1QkUjDBWVxWm9TWYrUE03cHjSPecOxCva2f6sdsSTQntOl4SKbh+YNCtnyZKEt2zvc3hElI/4kqmm6yvd8ZtARLR8CXtlaPe2WCAickDtzJISkRuZs6uDo3PQq+mTNOWVEE6+NVRIpSK/v7aqnf7o5w/inVecif7VqZLp73zTibjtnsOYjyYX+U6qRA3CxD4rFZWOIks4/3lrcMr2LvR11ePsk1eb983FVVz0s4dcW6UIyB8qWk6lIn8wmHM9KxUtTXe9dR5r1KWhIs0wcNPBw7jp4GFzXZvfj1Pb27CrtQVdwQCCisdsEaTIEi560Xr85JZn0NdTj1eeuwk+n4Kb/+857B+YWbFxN9b7IAuzOkfj7nx8K1nIm/sYKh6NQc/Ryk+sVKQZ9vvr8oSK2PqssPWNVhhD1XWMRRl6KbU6r9Xy6tAMw4nlcHKv1Qp0YCqChOaegyix4rLfy/ZntSImHMd6ZXeEyWYSKv42OInz+lOVUV+zqRf/88SAw6OiXMTTn24JpZUaz/ASUSXKOsZkqIiISMBQERE5yQwVHR6ec3IctIJicStU5Ob2Z+GINeFSF6ytUBEAXPPNv+HLn3o1AGDj2hZ8/T/Pw5Uf+gPboFUhr8c6Cc5KRaXR3hzA//z7OThOaHWWoeoGLv3lo4i4OVGEQqGi4kMX/rztzxhUXIpmoVreaKRyQi9H43H8YWgYfxgaNtddd+bzUZeuXNNY78dNX3sFdm1uNwMP77jsONzw+z342FfuWpExnrDNasumGTqm44kCW9NyhPK0P4tGcrcuEtsbJbNCR/kqFUVU7ksK6Q9ZYYyRSBw8lCutRq8HimS9bg9MuaeCTjXZ3m79/h90UZUiwF6pyKNUZziAFooI5zV8Lmp799Onh81QUYvfi776AAbCDDu6TThhP3bxKRIS1fAGzV0gEVW4rGq5nD8nIhK451MPEdUiK1Q0MuvkOGgFiVf0Nbi4/dnMrHWyOhhwR4uWlXTjrx/BE8+MmLdfcMpqfOBtpzo4IiqHDf3N5mQ+AAwxVHTMmup9uOHTL80ZKIokNbzyxofx5HjuyXQ3yRsqyhMEyEeSZPj8uff1bH+2NH5homo0WtmTQmIp8fe/9WQct6XDtg+SJAmXvGTzio1n+8Y2c3kqHmcLrTKoy9P+LFfrM8BeqSixIFSUO6AY0RgqKqRHaEE5xNZnJXdcW6O5HFd1DLP9WVn0NVnHEgePuus4ShP2VT5WKqoZESEc75EluKXYzP0j0xhPXyAlSRLevnONwyOiXOaECt4AEFC476CFtreFcOmWHuxqb4CHs3hEKyKrkQZ/84iIBExaEpGTzFDRwDBDRbUiIrTQqq+YUFFtvl2+9NJv4b5b34dVPakr3K987W489vQY/nj7AYdHRqVy3JYOc3luPoG5CCdmj9UFz+9Hf481wTg+H8ezkxE8OR7Gf9+9Hwl3FygCkLrAtN5XmvZngbrclUUAYCbGUNFitrWFbKEbt7Y/W6qpeALNvsJBXWUFqzxsWNNsLh+NV3Zgy63q8lUqyhEqkiDBIwmhIs0+4cb2Z8vTFrBaUA7O83Vealub6s3lwblY9kQElUhnyHrvODzlrvdCsVKRj7O+NSP7c5NfkRF1QSVSA8AfD07g8u2rAACndrc4OyDKSTeq881CYqmikjlrdQu+8eKd5mdBwzCQ1A2EkyomIkkMhaPYPxPBHw+M4ymXhW2JKlnW/pkHdkREAu4UichJ6zMLbH9WO+aFUFGDi9ufxWJWCxTFReXMV5Ku67jgsm8iJlyFeeVlux0cEZXalg2t5vJQBVTPqQSz8/YJhpim43U3P47/urMyAkUA0OBT8l5tXWyoyB8M5r1vNsEgwGJOXWW1LZpNJBDNCllUml8eOmy7HVM1/PLgYfx0vxVWnQmvXAuyvp4Gc3kyxrBFOeSvVLRwX+KRJFuILp71eg/U5alUxPZnBTV6/ebyUISv81Jb22C9zx2e4eNbLg1C2PmQy9qfaWKoiJWKasbUnP14xU2VZu4cnDSXWwNenvynFSN+hDSqNDi1Ul6/rXdBRVefIqM14MPm1hDOXtOOK3atwc9fcRIeffML8ItXnICXr+8s8BOJaCmyOlG6582diMgF+LmCiJxkftoZneBkdq0Q25/5fLmvXncD8eSw+EG+1kxMzuPGXz9i3hZDKFT51q62AgvD42x9dqzqAh6869LjbOv6GoO48vhVDo1oeVqD+SvJxIoOFeUOAURVHQmNJ5oXs73dqoBR6a3PAOC+8Qm86577cc2TT+PTj/0D77j7XvzswEF4hZZXM7Mr9+/sarNen6xUVB6hfKGiSI5QkfA6MAwDOqwkpj8QgJJnwjbKSkUFiRPdQ6xUVHI9ddZFEodn3FVBp1r45FR7qQw3h4oUt/TAorLLDkEHve45xf7I2KxZaUGWJJzRy8/wtDLEU2f8pHdsVjfkvzgnm1eWsa2tAZ85awuuOXtbGUdFVP0MVioiIsqrNvu5EJEb+ACY/WGmVnACiZyVSFoTRG6+klPTrHHKNRwq8nhkXHDudvP20BEGT6pJb5dVpYOVipZPkoBLX7wJH3zzSWgMFW7tVAk66nIHPpOJONRkcVVk8oWKZuMMASzF+hbrZPKRKggVAcCRWAxHsqoCRVWrIs2a3kZ89aPn4BNfuxuTZa760dxghQEYKio9nyznPYaK5QoVSfZQkSiYp0oRwEpFhXhgfw6GWamo5NoD1vv+AD/TlsXx3U22izwGplwWKhL2V54arXBbi1Rdh2EY5msz6KJKRfNJDXunI9jckmob+ryeZvx9eHKR7yI6dvZKRY4Noyq0Cxf6/Mcde/H3w1PobwpiTVMAa5qCWNMYwPaOevTUWxUpJUnCef3t+PBpG/CZ+/Y5MWyiiqfZd17ueXMnInIBhoqIyClt4o0ploqvGYmkNXHod3GloqQwwSnV8BWnv7n+behosyplfP+Gxx0cDZVauxBYYKhoeYJ+D77ygbNwzsmrbesNw8DRaBK3PDeO7z465NDolqetLncwKjJXfKvSfKGiGYaKlmSVEHoZjVZvBYwnp6fNZUmScMFZ63Du89bgTR/8PR56cqxsf2/Ab50jnGSoqOTqPPmP86LzC99zxEpF2d0ig6FQzp+jwUBcr+y2gOW0pqHBFsYYZaio5MRqXGx/Vh4ndlsh+NHZGOKqu/rJ6sJwPErtfm6sRYZhVWZpCniAGWfHIzoghIo2N9cvsjU5rVr2HOIxBzNFxyYkXIT51MQ8np2M4NmsSn0eWcJrt3eju96PV23tQl9jAJIk4Q3behFTNVzz0MEVHjVR5TPY/oyIKC9eQkNETjFDRbG4ilickwG1QgwVeV1cqSgajZvLSo1ecdrV2YDdO622TX+75zB+8Yc9Do6ISq2h3gqPDI+xClWxJAn4yvvPXBAoOjIfx6Zr78CJ370HH799r0OjW77mQJ52ReHZon9WXUNjzvXTMVYWWYrWoBXKqOZQ0f65MH5+4JBtnc+n4EefvxCb+pvL8nf6PDJkITQ8FY8X2JqWI1/rM13XEcvxehbbG2lLrFTE1meFrWuwfn+ORONI6JziKzWv8LodZKWistgqtAJ1W+uz/5+9845vo7z/+OeG9rDlPWI7jp3hLJNJwkjCnmWWUShQoKWD0pa2tBRaVgelLbT8KKUUKJRZaEvKhgAhNEBCCGRPJ/He29rj7n5/yL47yZJXJEuWvu/XK3A63Z2eKKfn7p7v5/l8AHIqSmfcKpF8uTW6o14iaHcp9zXmJB53SVcC4TY+qaIqUiGRrGjCrCnJCnGaPNAdeQJYQJTw7O5W/GFzHb726i50u4OuwgzD4PoFJfje4umT0VyCSCkEij8jCIKICnWKBEEkipyhhb4BKuKkE16VgEyvS16nIqdbifjh0tSp6JrLlsszzRwuH35wz/sQqRiVUui0ygAzORWNn29fvAAnLyuRX/d5/LjvkyNY9sRm+JJrEv24yIzSN0eKKxqNaKKiTtf4YtTSFT2vPK6lsqgIAP5VV4+bP/0M65pb5HU8z+LFP30JWj72j61Vldkhs6l7fXQ/GmuiORVFEhQBofFnATG0E43mVETRZyNTbFTEGE2O1O5DEkGJSR/SjzTZSVQUD8ozFWfNhiQUFanjGtk0fW5MVzr6lH610pZcoiKNyv2PnuCTDyFsXIWLEhc71aD4s9jwo6Uz5OXdnXb0uEe/363pceHKtTvRPzh5h2EY3LCwBD9cOj1ezSSIlCS8e05QMwiCIJISij8jCCJRyHkeLnIrSCucqn9vvT5yxE4y4FLN7EvXwWGdTrlNYBkGHh+5AaQSBbnGkEJYcyc5FY2HM1aU4odXLpJfdzi9WPHkZiRZIseEiOZU5HGNT3jGgIHeGFkI0OWia/9olFj1ITNU292pX6xudrnx+MFDaHd7cFVlcDDdYtLif89djutuewd7D3fH7LPmVmTJy3a/D34xBX68SYYxilNRpOgzIDT+LCCFiYqMhvDNg8cS6N5kJHL1SpG7yZn6fchkM0cVKeT0Cejz0PkYDwrMOnm5vjf5REV+Qak+xUMESyQvBxr6UF4YFNCfMyMPT+9pBs8y0LAMtBwLLcdCx7HQsCwESQLPMNByDDQsCw3HQssx0LKq7QZfa4a2YYe2ZaDjWBh4Dnp+8P8cC45lwDFM8FhscJuhz1Vj0dDwf7IRLp5eUZiJTrcPXkGEyy/A6RfgCYhwBwT4RRHCFBHoqJ9dRFIVTYgLKvNRnqHc9z6zs2WErUPZ2+XElf/dhecuXIgMHQ+GYXDd/BJwDIPff1Ybj+YSRMohklMRQRBEVOipgiCIRCH3P8JUeTomYoJDVUg2JLOoyE2OBTt2NcvLRoMGLz50Pv789Of435YmcixKAaqr8uVlr09Adz8VG8dKdoYe9373OPm1XxBx4UvbUkJQxACw6iI/Injd4yvk6QyhwjU1vSQoHpVjizPkZVcggAF/+nxnrzU2odRswuqCYD+VbTPgP38+D5ff/Dp27O+MyWfMLldERT0UfRYXoomKormeqUVFfjE0GpmciiaGVaOIMZqd5FQUayqtKicoij6LG2qxczI6FanFARoSFaUVL7x/CGceWwoAyDZo8d6lxya4RZGxaMloIdkIl6D+fk3ViNuLkgS/ICEgifALEvyiiIAowS9KECQpzFkj+IJjGPAsC55lZLGbhmXBMsF4n8DgvoIoISAF3ZOG1gdEEV5BhE8YOr4ESQpGmokS5NeCpN5HwrkVeXIrFuRa8ezZ1fCLEnyCKLdZQtDFSJRClwNDbRlsR1BMJSEgBt8XB9/3iRIEUURABPySCEEMtkkabIsw2LZoSBLgFYPfY0AUIQGD30Fwp2AbJYgiIEL5bEkKxtZ5BRGegAgWAMcCDFiwLMCNMBeRZRgwYMCxAAsGDBNcNyTCCojB71rPs7j7+JnyM3RNjxP/2tc+4rkRzs4OO654eQeeu3AhMvUaMAyDa+ZNA8cw+O2WI+M6FkGkI2GiIrqAEgRBqCBREUEQiUK+Q0tXF5h0xeFQIm+SWVTkcCoFRoZhYDZq4UizuJ5X39mNu289G/m5FgBA9dw8PPbbs9DS7sCdf9yIDZsb5W3nz87BV86bi64eN55ZuxtdPVS4SnaqVC4dLV1OsiePAMMAeTYD/AERPaqozm9eNB9WU7D/kiQJ1722G4321BAlWHU8ol2VveN0KtJFcSkCglFxxMgsyFOK1akefRaJvx2ogUXDY3F2NgCA51g89dszccJXXoDTffRuIOUlimiry5N+3+9kYIoSf+Z2DhcFMGDAq0SIPiFUVKQ3Ro6VcQfIGWYkDCphV7OLRC+xpsQsm+9S9FkcUUeBNiS5U5FOQ7WndOKjXW3o7vcgO0M/+sYJxBkQRt+ImFR8ARGSJEWdgBEOyzDQ8Qx0YIHIt1dJh0XLY1F+xugbEhERJQk/W1+DwAQm9O3qdOAra3fi+QsWwmYICou+OrcYzQ4Pntk7ducjgkhHKP6MIAgiOiQqIggiUfQPLVhMySssIWLPgFMR5hgNyftvP2APHbAuKsrAwUOxcUdIZsqKbfj5LWdg5dJySKKEgQgFkqJ8Mx777Vlwuv34YFMD/vPWATx016kwD/6Wrzi/Cjff8z4+2to8bF8ieSgvzZSXmzso+iycPJsBL/z6DJQNRho0tNlxoL4X0wutmKn67t6t7caHDb2JambMyYjiUgQAHvf4REXRRQAivORSOCozbYooKx2iz8LxiyLu27kH55ZMk6PQzEYtXn/0Ipx09UtHffxilWirk0RFccE0DqcinmVDCmteITz+LHJ/Qk5FI8OpvtNWV2qIX5OJfIPiBNWSIuLiZKPCZgjpG+qT0KnIL5BTUTrzw4c/wRM/XQN+MHJMUs3UkFSOLgwAERKkQdcVQZQgihICgjj4R0JRjnLvZ/cGUNPrHHSlkeAXRDj9Ahx+AQ5vAE6/AK8QdH7xBUS4BAFOXzA2yx0Q8eU5+bikqhAA4EkFO9UUQwTwam07zirLC4kMY5nguTJWsRGRujy+rQlbWvpH3zAKezoduHztDrxwYTWyBoVFtyyrwHv1XWh1pteESYIYDwI5FREEQUSFREUEQSSK7qEFW4YeLMtQnFKaYHcoA+6GJBYVudw+eLx+6HXBaWClxVkpLyr6468uxCXnLwoZ1MrOiu40YjJocO7JFTj35IqQ9ZlWPR66+zRc9K21qG0MHQSpKM3E4gX5MOh4tHU6sXVnG3rGGbtVUZqJmeU2GA0atLQ78MXuNvj8NFA6XqYVWOTl5s7xiUXSgWvPmysLigCgtMCCUtV3BgRt0n/83oHJblpciSYqCvj9CIwzfksfxamo30vOImNhmlWZ9Z6OTkVA0NbytcYmFBkNOKUoWBibVmDBZWfPxotvHt1vLyvTIC+TU1F8MEQRFbmdw685apciSZIgQrmu6w0GsGzkQr1boP4kGoUGU0hRspWcimJOjsp1tb6f+pF4sKRAuRcb8PjR60o+IaFaVERORenHR7vaMPur/0SmWQuHKxAShzdenv35yVg5rwAA8GFDD25at2/Cx1pVqrjSgobakpJ7Pq3BPZ/WRHyPZwGrhkeGTgMDx0HPc9BxDPQ8Cx3HQcex0HEs9BwLnmMxdJc0dNVnmGCMl08MTuYIRpkNCdGCx9ew7OAfBhqOBc8EI9K0HAs9x0HHM9BzHDhWcZNkEHRN4gajuziWAccExeE8w2BZQWbI3+P53S3Bz+CCx+VZRj7GUDuV40H+LHbwuBzLgIXy3tC2yucyYBjlmGpRVrTTnmUgH4NnlCiyZOLtw1343abaoz7Ovi4nrnl1F/7z5WOg5VhwLIO/nb4QX1q7NQatJIjURAoVFZFanCAIQgWJigiCSBRybpKGZ5FrM6C9O/lmHRKxp98eGn/GMEz4DXvS0NPrQFGBDQAwrTC1bZu/9bXjcdkFi2N2PLNJi3t/shqX3/QqAECrYfGTbx6Lqy6aHxJ5KAgiPvm8GW9+cAQfbG5Ad69SkOG54ACRTsehrDgDyxYW4MIzZmHuzJyQz+rqceHxF3fi7y/tpAivcZCbrbg+kFPRcKpnZo/4viRJeHhrA/o8qVXQztBHfjzwusd/jdYZIjuL9FP02ZjIMSrZBunoVKTm8YOHsKagANzg9WPx3LyjFhUZVed6lye9v994oOe4qAWaSKIijUo0FH5faDBFFziTU1F0yswqMYbPT/E3ccCsUfqR2l4SFcWD+fmKoLshCV2KgND4My2JitKWPsfRO380tDuwcl5wucR6lJFq6mtpcukliDEQEIEebwA9U2wyxqZLj4d20LXrm2/swVuHuxLcovExJEpiB8VGQ1IqlgkVQGk5BqIU1OtJkiTHJY00tiki+LOUIA26mAFDij9FoBUcHx3wxe6ebUe7HX/8tB4/Pa4cADAj04jLZxfinwdaY/YZBJFKCBR/RhAEERUSFREEkSgcAHoAZAFAYZ6JREVpQl9YnJZBr4HLnZzWu/0DLllUlJMdvaCVCvzghtXyss8n4LlX9qKt04HifAuWVRegpMgKlmGwdVcb3v+4HnfffMKwY+ze34oNH9fgu9evAgAsWVCAE5dPw8YtTfjtT9fgS6dWDtuH41icuLwEJy4vAQAcaeiDPyCiuMAMs3FsTlY5WUbc+u0VWLqgADf/8n14vFQ0GwtWiyqyg5yKQmAY4JhZufLrPo8fm5v7kGPQYnenAx0uL17Z34HGFIw6sek1EdfHVFQ0xQbHE4VRVZhsTVOnoiEESYLd70emLnhdqKnvO+pjqgWufb7U+y0nGmMUlyIAcDkjx58NEX4VjxZ9JkjBGfhEZIqNihijhaLPYo6GDXXYqu1L7346XlTalN9/MkafAYAvoHYqogntxMRpV4kTswyR78nHiromSpoiYjIw80HXoyEO9yZnnz0SQ+Kg0PijyZi5Ft/PePSLRpw3KxdVOcH4558cW4FXDrfDTdGIBDEMkeLPCIIgokKiIoIgEkkDZFGRGdv3pXa0FBGkbyC0qGEw6JJWVDRgVw3qZaauqGjB3EJYrUoMzA0/exsff94cdfusTH2IqOh3D72HjZuP4PMdQQOyKy9eCltmsACwenkJ8nNMIYIiURTR2+9GptUAjgsdeJ9RGmqXHQ2vLwC/X4DJqJWjPU49YTpuv/E4/OKBjWM6RrpjUMVcNXeSU9EQGp7Fn29ZHTLTvM8TwA1v7E1gqyYPW5QChsc1fuEZxZ9NnHyTNsTlpc1FxWqvqEhNbrhsIXbXdGHz9onNsC3ON4fEQg34k/M+ZCpj4iP3JYIgwOcd7gylFmeIUmiBI5pTEbkUjUyeStjZ4iQ3rlhTlWEJ6V4EJtQAACAASURBVEcaB6ifjgfqKNDGJHWD8qriz8ipiDgaWlUT7TJ1RykqIlURMcmcUZYnXxc9AWFKiopSlYAo4Wfra/DyJceAZRjoOBb/d/JcfGPd7kQ3jSCSDoHizwiCIKJCnSJBEImkYWihKM+cyHYQk0h/mC24UT82N5pEYHcoA9cZGYYRtpzaXHPpcnm5sWVgREERAPT0eeBwKf+O9U29sqDoG1etRKbqu6ost+EH1y2VX/f1u1F13G+w4MTfomzR3bj9N69jf007AsLIM6QkSYLL5cPnOxrwte8+h/LFd2PWsb/Ciec+iI4uu7zd5edVoboqd4QjEQBgNWtDXDqayalI5oGbT8Apg85ZQ3jSKDImK4pTkdthj7h+JHSGyP1mf4pFxsWDFcVK5KZXENDnI9HLls5uedlm1ePp+87C+n9cgkzr+O8jKlUCVkEU4QrQORlrjFFERR5X5AKT2qkoEOY+ZDBG7ktcAv27jYRNp4gxmkmYGHOqbIoTVJvDC69AGbzxIFsldp4KTkVanoZZiYnTqXI803JHdy5Rj0RMNl+akS8vb2uzh0cIEQnmi7YBPLurRX69ssiGFUUZI+xBEOmJSPFnBEEQUSGnIoIgEon8NJNjS13BBhFKICBCkiR5BpPBkLyiogGHMqs7UzVLNtWomKGIcPYd7h5hS4W2Dicqpwf/7WZX5AEAfn3bObj2ihUh2y1bWCjP2JUkCV+54SnYHUG3KlEU8eTzn+LJ5z8FAKw5vhIrl5ZDkiTUN/XIYiOX24fa+l6IESJOjtR3Y8WZD2D/J7dDqw3e1qw+thQ7yPlsRKqr8uRlQRApfnKQU5eX4Kzjpoes63L5cP3rexLToARg0kYeM3E7x+dmxXE8tPrI1/Y+L7mLjEZ1vlVebnO7qTAE4N919aiwWjA3Mzj4zTAMSgqt+NG1y/CLBz8e17HKipTv1+6n8zEemKLEn7mdkUWsI4qKyKloQph55R6bnIpiT4VVOS8b+un7jRfqKND6JHW98KmdiniqPRETRy1QY2PoLkRGRUS84VlgbpYitl13pCuBrSGicd8ntTizIgd5Jh0YhsEDa+biuOc3JbpZBJFUCKGqIqqfEwRBqKBOkSCIRNI2tJCbZRxpOyKFMURxxUgGBuzKwLXZlLqiovrGHhy7uAwAUDHG+LHWDgcqp9sABOPTAOCyCxeHbOP1BbBleytOHHR96ep2YseeFkRjw8eHsOHjQ+Nuv8cTwOG6blTNCs6My8uh/mQ05s/OkZdbu13hD81pywnHFMrLDl8Ay5/YBId/ZBetVEMfZYZ9YJzxUAZTdAfCbjcJAUZjluq+qM1NxWoAcAsC7tm+AxeVleLS8unyep4ff6msoky51vX5vCNsSUyUaPFnLkdkUZGGUfoenxjqDmeIEqXoJoepEdFyirihxUXneawpUj0bNPSTE1Q8MPJsiLCiKUnjz9RCEA05FRFHgc+vXP/UMbgTQSJJOjGJXD6rGNxghx0QJfz3QEeCW0REwu4TcOeHh/DI2fMAABk6De5cWYm7N41/HI4gUpWw+DNSixMEQaigp12CIBKJLCrKySKnonRCVAkYDAZdAlsyMm63UkTX61NXh/uvV7bJyxVlNpx8XNmo++zYpwwSnXBsBXKyTCECscdf3IEzr/4X2lSxWg3NPTFq8XDKSmzycnPb+BxV0pFZ5VnycmP7+GOtUpXphYp7ycaG3rQTFMUShos+9uLyp0+c3EQpyVCK1W0UWyQjSkCvN1Tg9o+143cSm16s/Na7vPT9xgOTJkqUYgSnIpZhwamcijxCaB9hJKeicWPk+ZCCNMWfxZ5cVYRzk51EW/GgusAiu9uKooTWgeQ8j72qmFzNBISuBDGET/XscZSaIoKYVC6fVSQvb6jvoUkkScwbh7rwfq3iUP7l2YUoS2FndoIYLwFyKiIIgogKiYoIgkgkilMRxZ+lFWpRkVGfvPFnHp8yEKLTpu5zxMdbatHdoxT57r75eBTmRS7gDfHy2wchDFr9azQcfn/X+SHvv7H+MLRaFueeUimv6+yKvdjHqNfizRe+CaMqRu/DzQ0x/5xUo1RVUG8kEZZM5bQMeXlvZ2Q3jVQnmmsVy45vgpYoRHcQsaZwfxorclR9Wps7OYuoiUKvEqw53X7sP9I77mMU5irXuG4POUHFg2jxZ64IUYoalRWJJEkhTkUsy0JniFzocJKoKCozzIobl18U0eUen9scMToZGuUcbxqgfiQeHKOKAm0d8MAvJKfzijfEqYgmtBMTR5Tic44zFIBGxJE5NhMKjMpkwX/uaU1ga4ix8PMNNfJEH5Zh8NfTFiS4RQSRPIQ5FdHgFUEQhAoSFREEkUhUTkUUV5ROqIvWRmPyOhV5PEqxSqtJ7QHim3+xFtLgg1NBrhlrH70IKxYVRd2+sdWOV96tkV+fftKcEIP1tY9ehHeevgwGlcNTY0tfTNu8pLoEuz66FccsmCav+2BTPfYe6h5hLwIA8rOVgjo5FQXhWAYFOcr3sqk5tufrVMEfRVTERREIRMPjdEIUIzs9FdNMyFExqq45JCoKZXaGUmSubx6Y0DGyMhQxe7eXxACxhgUDXRS3Mk8ExxxeFX0W3gMZTCbZqSQcciqKTolJJcZweUG+e7FHrxKP1FP8WVyoUt2XNfa6RtgysXhUoiItxZ8RSUKc9EkEMYyfL58p36s12z0hLjhEctJs9+IPm+vk16VWA66ZV5y4BhFEEiGQUxFBEERU6GmXIIhEIouKsjL00NAAXNqgvkHX6yLHYyQDbo8yq1ujSe3niPc+PID1Gw/Kr7NtBjz1h7Pxo28sg1YbuTB4318/RU9/sBjLMExIzEY4giDib09/EtM2v/C3a0Ii14BggdlsTN5zKlmwWhQxX0M7ORUBAMeFnr9Of3SnnVTG6YscTaYzjE/8KwgBOAciC7OmWZJXTJoM5Bq14FTOLa0kKgrBqBK4tXZOrP8yqa4T5FQUewwjOHW4XcOFAXyYU5EaozG6c6JrBEe0dKfAqPTZrS46x2NNjl4bct9b10f9dDyYnqkIQOt7klhU5FfHn9GYBkEQ6cPi3AzMsZnl13/f3owkNZUjwnhyexN2dSgTzG5eUg6zhq5hBEFORQRBENGhOwWCIBJJu/pFdiY5F6QLAdVsTr0+eQUgIU5FUYQ1qcRV33kW/1z7hVzQ4zgW37pyEV5/4mJccs5smE2h/1Y9fR68sk5xK3K5fWjrCHWN8Hj9eGf9Pqw+7//Q3Nofs7ZWlGfDbBouTPjalxfgD7efHLPPSVX0OuV8biJREQDA5w/1cbDq0nPsoM8T2fnDaLFGXD8Sjr7IsVRzc80R1xNBVqpi+HyCgF4vxRapUTs3TS/OGGHLyBj1fIhoq9NDYoBYYxjB2cwTSVSkcioKj34xmCILGj2iELeYmFQgS6eIMUhUFHsW2JRroicgoMNJ/XQ8KDCrRPC9ydtXq0VFPEfDrERyoDZaGGHuD0EcFfevqpJditodXjy9syXBLSLGiiABt75/UJ70qeFY/OXU+QluFUEkHhIVEQRBRIc6RYIgEokHQB+ATCAYgdbWlbwzEInYERCU4r1Br01gS0YmxKkoTWad/vAXa7Fx82H86VcXQTMYv1Nekonf3LIa9/zwROw52IU9B7tQ39wPk1GLC06fKe87YPdg+en345YbT8Gsilxs3lqHR2PsTjREa6sdoiiBZYePkK5ZUQINz8IfoLCPSJQUWkKiZCj+TMHu9MFiCvZJfzq9Cl/+93Y0DqRXMbbL7cfsCOszsnPGfay+rg4UTq8Ytj5Lr0F5pgG15OwQkTmqeMJ2j2dYHFS60+XxystG/fgfZxfNzZP7QFGSKP4sDpj4yILxgN+PgH+4cJFnlXssISyoS28whG8OAHAHyKVoJCwa5f661eUdYUtiIlRYFbFb04CX+uk4kaHq4xuS2qlI6bfCnS8JIlGohbcs6LwkYs+dx86EVavc892z8TC8Ao3BTCV2dTrw5I5mfH3RNADA4vwMrJmWhQ1NPQluGUEkDoo/IwiCiE56VEgJgkhm5Ai0vKzxRasQU5cQp6Ikjj/zqERF/AhRHqnG2jd2YtHJv8POPc0hMSQ8x6K6Kg9XnD8XP/vOSnzva0tgy1Acxp7/z1YEAiLuffBdXPu95+MmKAIAl8eHH/5iLbze4UXFzh53iHCNCGXxgnx52eH2o2eAio1DvPFxnbxcaNZh4zXL8dg5c9PKBryhP7LAwmC2gmXH1w92NjdCFCP/Fk8rzx5329KFbIMiBnCScGIYRtX12B3hGjAa1VV58nKP1xM+E5GIAdFERS5HZGc8tVNRIHQQF3pjFKciIbKrGhHEqPo3aCGnophTYlbuf1vs9P3GC73K9ae225nAloyMJ6A4FXERJjwQRCJQi4rIqYiINbMyjPhSuTKusO5IF16r6Uxgi4iJ8ofNtWganEjFMAzuWz2HCoZEWhMIHR9gAVLmEgRBDEH3CARBJBpZVJSTFXkmMpF6qGOGktmpyKUSFXFpZmXf0+vCmZf9Fdfe9Dz2HWyDKEYvukqShPUbD+IPD38wiS0EXnplG8qX3I1rv/dcyPrHXtgOqhFHZ95MxXGmsY1citTc94/PUdPQJ79mGQZnVOTi828ch4fPrMJ3l5XAok3tvqDVEbk4yrIsTBmZ4zpWwO9DT1tkC/zyTAOWF40/uiodmJWtiCjUrjxEkIVZNnm5rWv8ReY55VnyMkWfxQdjlPgztzOy04jaqcgfJkQ0mEzhmwePRYK7qPBgwakqyPX25HV4markGxRRUbOd+ul4MC/XFOKsWT9VnIrY1L5PJOKLFMOH2JD4s5gdlSCCPLhmvtxH230B3P5BTYJbREwUl1/ELzYo/35mLY/fnBjJu5gg0gNh+Ph3+swyJgiCGAV62iUIItHIoqJcG4mK0gWfX5nNqdcnr1ORz6cUrCLFbKUD6zbsxykXPYzSY+7CjT95Ca+8uRN7D7Shu9eJvn43Nm4+jEuvfxJf/fYzCWvjls/rQwZgf/G94/Hhi1fgmT+ei69fthBaLT3/qZlRqghDGtsju0akK3aXHxf/9E3c/9w2OFyKqNDAc/jSrDz8ZOUMfHrdSqSyrqjL5Yc/iogwK69g3MdrrNkX9b1zKnOQY0jea0CimGZVitWNzuR1ZkgEHMNghsUiv37l/UPjPkZZkbI/iYrigymaqMgVRVSkEg74RCHkPZM5sqjIGSCnomiUWawhEX/kVBR7slVOq60OEhXFA7XwuMvhhX0CznSThdqpKE0fGYkYEUshUEj8GVkVETHk5mPKkWfUya/v/egI2p2+EfYgkp3363rwhspp6tyKPFRmUpoAkZ4Iw4fDaNCKIAhiEMqEJAgi0bQOLeRQ/FnaoBYVJbNTkc+vEhVNcCBOr+dh0GlgNGphMmmh5XnUN/XAPsUKEKIoYu2bu7D2zV2Jbsowevvd+GJnI5ZUl8rrivLNKMo3Y8WiInz57Nm4+odvoKM7eWc4TybF+UpBvamDREXhuDwBPPLvXXjx3Rr8+MpFuPS0mSHvm7U8blo+HfdvrktMA+OMBKC+341K2/BrclZ+IeoP7BnX8Xo729Hd1oLsgqJh72k5FtdUF+OvnzfC6Rci7J2eqOPPmqI4u6QrgiTB6Q/ApAk+xmZa9KPsMZy8bEWk0uUhsUU8MEaJP/NEEBVxDBvi7OEVQvuCaPFnLnIqisp0iyLG6HB74RvBbZKYGBatMpTWTPFncWFBnnK/WpfELkUA4FHdwzCkKiKOggjuCBOGnIqIeFBs0uOKOcXy683NfXh2d+sIexBThTs/PIQTS22w6ngwDIO/nDofp/97S6KbRRCTDjkVEQRBRCeF51kTBDFFUJyKKP4sbfD6poZTkV89QDyOkTitlsfv7jwPBzbfjsOf3YE9H9+Gz979MTb893tY9+/vYP+m23Hk8zvw9ovfwo3XnYAM6/iLokQoF1/7JD79oj6iZXxFmQ2/+vGJCWhVcqKOmqT4s+j09Htw21824eYHNg57r9+T2g4ZNVGKd5m5+dDqx3+tPrjtMwhRBAA5Bg2+sWgaMnQ01wEAqrJN4FUFycN2+o2GUzMwIC+fs2bGuPe3mJT7ji5yKooLUePPXMOdt9TnuyRJ8KuciniOh1anG7YPALjIqSgqxUazvNzsJMFLPDBwSm2hvo++43gwQ+ViXN+d3K59blX8GYk3iKNBiqGoSJ3eLkbfjCDGxZ9PmidPuHP7Bdzy3oEEt4iIFR0uH+77pFZ+XWzR4/oF0xLYIoJIDOLwcWUSFREEQQxCoiKCIBKNLCrKieCKQKQmalGRQZe8TkVer1KwGkv8GcuyuPOWM3Fw8+346iXLYDHr5fgJNQzDQK/TYOG8Ytz+wzOw9+PbsPfj2/DsI1fh+OXlMf07pAs+XwAXXv04qlffh6999zn85k/rUN/UI79/0soynB/mOJOumIzKb66B4s9GxeMLFcP8r74Hj29vTlBrJocDUYp3DMMgb1ppxPdGwu20o3bPjqjv55u0uGlZKebnmqNuky58uSpfXu7yeNDjpSiBcD7v7paXF8zKwXGLhrtgjYRWo4wJdnlJDBBrWIaBjos87uqO4LzFM8qQRPjwrcEUOfoMANwCORVFI0evPFM1kago5sywGEPu72t6klvwMlUpUjnR1U4lpyKKmSKOggiFzAnDIFS0SxBHyznT81BqUe4x7t9ch/p+us9IJZ7b3YJtbcoEjpsWTYdZQ+VDIr0QSFREEAQRFborIAgi0ZBTURri8SqFIH0Sx5853UpE2WgDxDd9fRVqPr0d37zmeGi143PcYBgGmRkGnHziLLz0xLV4+R/Xj/sYRJCuHifWbdiPPz++ESvP/CN6+pQixG3fXYkMS2THg3RBq2HBc8q53NhOLiijkRXmJJYOMV3tTh/anZHFLMUzJibOa6jZh67W6GIsk4bDlfMLcf0xxZiTbUrbmf4nlNrk5X19/QlsSfLycXsnnIPxpAzD4Ml7z0T1nNwx7VtWaAm5nndT/FnMMUeJPgMAtzOSU5FKVBQ2gBst+gwA3BR/FpUMjXKv0+yiczzWLMpR4uW6XD70euhcjAeZeuVZqC7JnYq8gdB7Q6sxeZ9vieQmlmmVnNoJMHaHJdKYHy9RHEL3dTnw+PamBLaGiAeiBNz2QY0c/6ThWDx86vwEt4ogJhdyKiIIgogOVSwJgkg0KlERORWlCz5VUV7tGJBsuFwjO0Tk5Zhx6/dPwwVnL4BeF1pEEwQRaz84jBffPoiGdjv8fhG+gABJAkoLLFg6Nx9rlhbj2AWFMBuVfRmGwYol0/HxG9/H8ec8CJ+PChVHw9XfeQavPXcDGIZBVoYeN169GL95eFOim5UwFs7JCymoN3WQU9FobD/YGfL6rMpcPHJWFb791r4EtWhy2NVhR3559rD1JmsmbHkF6O1oi7DXyOzd8hEWrzkd5gxb1G0qbUZU2ozo9QSwq8OOZrsHnS4/fIKIgChBkiRICBZHhsZ6hgZ91OtGgmMBXvU7ECTAO3j8RGNRCUpbXBTNFQlHIICnDh3GjVWzAQSdBP9020k46eqXRt23ukoRH3mEAJwUoRVzTFGizyRJiigq0qicisJnhRpNkZ8NPEIAIpVIo6LnlXvrVhIVxZyZVsVBq66P+ul4wALQqbKb6rqT3akoNFwqw6zBwCjPkQQRCTGW8WcqhX4S3OISU5zLZxbBqlXGrX618QidVynKnk4H/r6jGd9YFIw+W5KfgROLbdjY3JvglhHE5CAM79uSt3BBEAQxyZCoiCCIRNM+tGDQ8zAbNXC4qMCT6vgDysCrJolFReFORaetno2CfCuWVJdg1coK5OdaIjoYvflRLR56YQdqGvoiHremoQ81DX144e0D0PAsFszMwQnHFOGS02aiMDdYqCguzMT7L9+IE899MD5/uTThi51N2PBxDU46YRYA4Mrz5+Kpf+9CS5rGflXPVQrqbV1O+MKKIMRwDtT34ffPfIFbrlosrzuzIhffXebA2n3taHakZtFoa+sATinPjugYNL1qwYRERQG/H9s3rseiVafAZM0ccVubnseq0ujio3ggIehE5fQJ6PP40ePxo9PlR4vdg1aHF74Io0uxRi1sYilCJSoftrXDzPO4ZmYFAGBagQUXnV6Jl9cdGnG/qhmKUI5ciuKDWRPZocPjdkMUh19z1E5FQtj7RnPkSEQXRZ+NiDpSjkRFsWeaWXHXbaDYl7gwP88c8oxVl+TxZz4htO8y6GiolZgYsRQVgeLPiBjy9fkl8vKmpj5sbCSBSSpz/+ZanFOZgyKLHgzD4Herq7Dy+U8S3SyCmBSE4ddiurEjCIIYhDpEgiASTRcAEYNxjNk2A4mK0gC/Ssig4RMnKtJoOFx09jIsXliOeXOmoajABq2WhyQBOi0PqyU0ku8fD391xOOt/6wRD/9zB3Yc7BpzG/wBEV/s68AX+zrwxH9346GfnoRVS4oBABXTc/DQby/GTbf+Z/x/OULmWz9+CXs/vg0cx0Kr5XDuyRX42ws7Et2shDBbVVBvSFNh1UR49OXdCAgifva1pQCCcQI/WTkDt6wox/8aenHVK7sS3MLY0+8NYG+XA/Nyhhf1bbn5yMovRE9767iP6/O48cWGd7HguNXIzMmLRVNjBgPArOFg1nDIN4UKIyQAbQ4vDnQ7cbjXjbp+d1ycjdRW2zxLoqKReLOpGasL8jHdEjxHb7l++aiiovISJbao20tigHgQzanI5Yh8zdGoznO/FFaYN5nCNwcAOP30rBCNXJ0hRIzR6vKOsDUxEfJU0c0NA+RUFA+WFil9dafDC4c3uYWE4aIik56GWomJob4PHC1+nSAmixOLsmBTXfse+qw+ga0hJgOXX8QdHx7C4+cGo8+sOh53HzcTd35Sk+CWEUT8CXfPBTkVEQRByLCjb0IQBBFXBABytkyOzTDCpkSq4A8o8Wd8gkRFK5fNxNZ1v8Zjf7wB3772NKxaWYXK8gKUFuegbFoOCvIyYTToRj1On92L597cj9O/vRY33PP+uARF4TjdAXzr1+vx+V7ZwAsXnVONWZW5I+xFjIbd4cVn2xvk18uqCxPYmsRSVmyVlxvb7QlsydTj6Tf2Y/fh7pB1DMNgdVkWfr2mMkGtii8bG6LPQJ21aDlYdmL9t9/nxbYP30Pt3l0RnUuSEQZAoVmHNWVZuP6YYvzihBm4fF4BZsY4ujVD5W7Q7yPhxEhIAJ4/Uiu/zs7UY2bZyA5YxfmKSK6HREVxwazRRFzvjiIq4lX9iE8UQt4zWaI4FVFsXVTKLIoYw+kPwO5PbjHGVCRDFf9S30f9SDxYkKv89uu6h8cmJhuSBPhUTrwmfeR+kCBGQwwrZPI0ak8kAWqXor2dDnzUGNmRm0gt1h3pxrojyvjmRbMKUG6lMXsi9YkwdYxERQRBEIPQ4wlBEMmArKAgUVF6oI5c0mgmfybnOactwmvP3ILysvG7ZPQMeLDjYCeef+sArrvrXay8+kXc+chmHGnqj0nbfH4BN967AX324MxyhmHw2AOXx+TY6UxfnxKboEnj0dn8XMX1oYmcisaFPyDiqjvW4ZF/78K2A51wq2bNX7mgCIvyLQlsXXyo7/fgUG/kyBGj2YLyuQsmfGxJElG7dwc+X/82+ro6JnycRKHlWFTnWXBddTFuPa4cZ8zIRmYMnAkyVYXITornGpXtPb3oGvyeGIbBFefOGXH77EzlPpPiz+JDtPgzl2O4MIBlGGhU8WfesFizqE5FJCqKSolJuRY1U/RZXNBxyjlLTkXxoUIl2K3rTu7osyH8KrciIzkVERNEEMJFRen73EokD3NsitDzn3vG71RLTF3u2HAITl9Q9M8yDP5y2vwEt4ggJocwV2oSFREEQQxCT7oEQSQDJCpKM3x+ZSa6VjO59+bz55TgiT/dAK02eAmUJAktHQ7sO9SNXQe74HT7wbEMnG4/hICEe29ZJe/71dvfxuadbXFvY1efGw8+tw13fmsFAKCyPBerV1bgw02H4/7ZqQjLsjhhRYX8uqFlIIGtSSw2q15ebiRR0bixu/y4/7ltAIDyIitee+Bc6HU8WIbBsxcsxJInNsETmBrOO2PlncNdqFxaGvG9kllz0d5YD0d/dEej0bD39eCLDetgzcrBtIpZyJtWBpabWmM2GToea8qysLosCzs77HjvSDe63OMXPRSbteBUUVBH7PQbHQt7+vqxuiDYty2amz/ithZVrN3F5ZWYlWGDKIkQAXS63Xi/tRH9Pl88m5vyjCf+jGeUYqkkSfAIyv0hy7IwGCM7gZGoKDoFBkWI1ewkUVGsydVrwaoiicipKD4UmhW32Nqe5HcqAoIRaEO/PhIVERNFCIvW1bIsPJjos4VyLJai1IgJsjQvI0Tc9tbhiTtzE1OPFocXf9hciztXBZ2ZS60GfG3eNDy1pynBLSOI+CKIkjqOfmoNUBEEQcQRetIlCCIZIFFRmqEWFU1m/BnLMvjzfdfKsWaSJOEXf/oIL75xIOo+d33/OOgGBUiTaWX/wtsHcM15czG9yAqGYfDzH52BD7/8l0n7/FTAqNfi61evwDevPh5mk1KceGN9+oqz9KpopcYOEiwcDbUtA7jj0U/xu+8dDwCw6Hg8fd4CXPryjgS3LLY02b3Y2jqApYXWYe+xLIv5K07EZ++/BeEoi/wDPV3Y29OFmh2fI7eoBLb8fMwpKcS03GzoNDx4FmDByOURCcFIsqFhHoZhwDDKuuBycEVwnfI+EIyXsPsE1PW70emMjYiEAVCdZ8GCXAu+aBvA+3Xd6POMPXpoaZESW+QVBHR7vTFpV6pTa3dgdUFQTKSON4sEz4XO+F+QlR3yenlePv6ybxcaHBQPORF4hoEuiijQ5RwuDFC7FIXbzBtMJjBRiqAkKoqOTaeIh0lUFHvm25RroScgoMNFIsR4oHbtq58iTkXq+DOjloZaiYkhF5yh5QAAIABJREFUhouKjmKoRO2yQJoiYqKcVKLcK9f0ONEeo+cmYurw5I5mXDg7HwsHnZl/sGQ6Xq5pw4CPInaJ1EUIjSOlGzuCIIhBqEMkCCIZkK1fcrIiz0gmUgu/TxV/NomiojNOqsbiBdPl1w/8feuIgiIA8PtF6AaNDdQOB/EmIEh47OXd+PV3jwMAVM0ugF7PwzOOAnU6otXy+ObVx+GqS5ehuDBjWEHyg031+HR7elp2Z9v0YFUuKE3tVDQ/Wl7+4DBWLijAhScFnbCOLc7AmjIbNtRP3LknGXnjUCdmZ5tgiVDZMFqsqFq6Ars3b4zJZxkZAVnONhgaO9HUtAfNDAOdTgeO48BxnPybVv8/fN1oSJIEQRAgSRIYhgHPMHAIQJNTgBccdAYjDCYzjBYrLLYs8FHinKLBMsDSQisWFViwubkf79d2wz0GB6sFeUpsUbubxABjRS2+0o1QyLWateBHib/M1Orw4/mL8GTNPmzr7oxZG9MFQxSXIiCyU1GIqCh04BZGU3SBGImKoqOOn2tyUjRXrJmdqThBNfRTPx0PWABaTrmeT5X4M6/qOm8gpyJigoQ7FWmOIv5MfShyKiImSkWGct3b3zU1nOOI2CJKwK3rD+K1yxaDYxloOBYPnzoPV72ZWpOpCEKNKFH8GUEQRCToSZcgiGRAERWRU1Fa4A0oTkUazeRdii48e6m83N7lxF9fGP0h2OsTYB4cR7GYJs+pCABe/98R3HHDsdBpObAMg6suWYbHntk0qW2YCiypLsFTf74SFpMOGg0XVViw/pN6/OhX6ye5dcnDonlKLJDPL6Cjl4qNseCuv32K5fPyUZxnBsMweOSseVjy+CdwpVAMmicg4rWDHbhifmHE9/OmlaF8bj9q9+6c8GcYeQ4zs4zQh0ViSpIEj2dyCrcFkgSXX0BNiwteQVUcNFlgyytAVn4hMnPzoFU5gYwExzA4flomlhRYsb6+B5ua+kJmjYdTaVOE1R2T9HdOBfyi8m+ljo8LpzgvVKTyQWsHOIYBCwbZei3mZFjAMAy0HIdvzpmPj9pbYPf5ICI4U1GSJIiSBBESRAlhr4N/ApIEQZIgiGLw/5IEQRLBMgw4hgXHMMHPHPoDBiwTWuxTnyFDY5lql61QBy6E/lflzDW039Ar+RMY1ftDqxgG6m+OGdw53A1s6D1GteVQ0xkAJl6DUrMF3V4P7P7Qmewe13BhgDr+TAgXFZlN4ZsHjyMEwgd5CRVaVulDW1zUj8Sa6WblWZVERfFhQb4l5F6+borEn6lFRUYdDbWmMlkWHYpzTcg068BzDAw6PvhHy8Gg49Hr8GJPbQ/2N/RhvJcrQQx9fgh3WBzXsVQfTpIiYqJkqAT7HeRSlLbs7nTgie1NuGFxCQBgUZ4Va0qysKGxJ8EtI4j4IJCoiCAIIiL0pEsQRDIgi4pySVSUFvh8iYk/O/7Y2fLyW/+rHdM+bq/iDGSdRKciAHC6A9i8qxWrl0wDAJx7+nwSFYWRk2XCf566HlpN5PPI4w1g42dNeGVdDdZtrB33wG4qMX9mjrzc3OlM6+8iljg9Afzyic/w15+dBAAwaTk8es48XPXKrgS3LLbs6nRgZ4cdC1VuOmrK5y6E1+VCS92hcR+70KxDiVU/TBAoiiK83gACgghJBCRZbjG0XfC1JKmEGJI0eG5L8jk++DK4/+A6lmVgNGphUEWsMAwDk5ZHdb4F9f0etDuDDjhupx3uWjtaamvAgEFmXj6KyiuRW1QCNkrUkxo9z+LsihwcNy0T6450YVtbZJewEqsiVmp3k+hvrDgDynVao2HB8ywCEUR9xQXKuesXRfx258GQ9y+ZXoTrZ5XL5+EJ+UVxanHqU2wy4dOOdgSk4L+D1+OBKA7/N+FZtago9H2DMbJ7qUsgx8ZomHg+RKBGoqLYU2BU+umGfuqn48FyVRRoh90Dp+q5MZlRT5ox6Kj2lGoYdTwuPakC15w5G6WjRK0O0dXvxke72vDxrjbsreuF0+OHxycEHYQkCVqeg0HPI99mwIwiK2aVZGB6Qeh9tu5oREUqITs5FRETxagar6O4q/TmgU/rcHZlLqYNPrfft2oOVj73CVJnKhVBKFD8GUEQRGSoQyQIIhmQRUXZJCpKC/yqQVeOm7wBLq3KFammdmzxRC63ErEx2aIiAPhkhyIqml2ZN+mfn+zcd8d5wwRFPp+AD7c04j9vHcBHnzXBO0WKEfFmRplNXm7uGB5DQ0yc97Y04qV3a3DpaTMBACeU2MACKTfA9vL+dhRZ9MgxRHZtm73kWAAYl7CoPNOAXKM2RFDkcvvQ3ulAT68rojgkluh1PLKzTMjNMcnRWQzDoCxDD44FWuzekO0lSOjtaENvRxt4jQZ5xWUomTUHJmvmqJ+VqeNxaVUBVpVm4a1DnTjYE+rckqu6xlD82dipdzghiBI4NhiF96U1M7D2veHnoNqpSC1EGuJfdS04YnfhnsVzQ8QuxPjhGBZ6joNj8PfrcUUWX3Cq3324i5c+mqiIos+iMt2s9EN+UUSXmxwFYk22TumnGweon44H81V9de0UiT4DwpyK9JPrbkvEl3NWlOKu65YiyzI2p8ohcjIMuOCEclxwQnmcWjYyale/HIMWn3/lREhSUKIvDYrtFeF9kODrwW1U2wGARxDR7fbh845+vHCgBc1O6gPTAY1K2Ob2p9rTLTEeXH4RP99Qg6fOWwAAMGt5/GbVbNz6vwMJbhlBxJ6wOFJSixMEQQxCoiKCIJKB9qEFij9LD/yqwQgNP3mXIo9XJRCyjE0g5FCJiiwJEBXtPNglL5sS8PnJwimrZuGhey+GRsPhpf9uw71/ehe33HQKzjylSt6mprYH9z6yGdv2tMPhpKJjOCWFyszXxnYSFcWaB57fJouKOJbB7GwT9nVPjciOseIVJDy7qwU3Li2FJkLMFMMwmLN0BXiNBg01+0Y9XqFZFyIoEgQRjc196Oh0YLKMtDzeAJpb+9HaNoD8PDOKizLAsSwYhsE0ix4sGDTZIxdNAn4/WuoOoaXuEPJLpqN87kIYLdZRP7PApMW11cU42OPCKwc70DN4nTFrlbEqcioaOx5BwMGBAVRlBt0tLjxtZkRRUZHKWaDfF/ka8Xl3H67buBU3VlWiwKgbFlHGYOj/jBxJFtwmeP6zg9FiQ/9Xx5aJGIpMUwp5aletcB+uYVkl4UU/KO5b4b8X+X1JtV34+5I07HhD+0iqLZV2qrcNLUQOHanUZAyJSRsiUvQZAGhU4i2/GCoAjuZU5I4gCCOCTDMp53i725tywtZkwKQSsteRU1FcmJGpjAfUTaH7KLWoyKCl2lOq8KNLF+I7F84ftl6SJATEYPSpIEoICBL8ggi/ICHDoIFew0aN5B4P9qNwhrFHmFgjx50q/xkzJg2Qrddils2My2cVwRkQsKvLjlcOt+Hdxq7RD0BMSdQy+wBZHac96+t68HpNB86dGZzweO6MPPx9VyMO9k4dETBBjAUhtLujGjpBEMQg1CESBJEMyE5Feh0Ps0lDgoAUJyAog66T6VTU3etA2bRgBFR+jmlM+9gdyizvRDgVdfUpBYt0tS3PyTLhyf+7Qo7Ku/aKFbj2ihUh2/gDIr5/z/tjdqBKR3KzlQItORXFnp4BLzzeAPS64O31I2fPxbn//ByOFJvR2e704cW9bbhyfmHUUkRl9RIYzBYc3L4VkhT576/hWNk6HQg6jB083AmnKzHOGqIkobXdDofTh9mVueC4YDGoyKKDBKA5irBoiPbGOnQ01qNwegWmz10Y1WVFzawsI36wvAzrjnThi9aBENeWdg/N/h4P23t6ZFHR3MrsiNtMU4mKOkdwcGn3+HDHtr2xbWCa8Nbpx6tEUSr3MWfkaw6v2sYnhYuKIk80cFP8WVSKjMo53krRZzFHy7Ih/XR9H33H8aDQopOX63umTpEyNP6MhlpTgXBBkSRJ2NXcj7te24svGkZ+5izO1OPqFdNx8pw8TM8xgR90UwwnKDaW4PIJaOnzoLHXhVOr8uX3j+b5f92RLuxoH0B1/uiC9/HCMAzMGh4rC21YWWjDbyQJzQ4PPmrpwYsHW9DooP4xVWBVE0nCnDuINOXu/x3GqtIsWHU8GIbBw6fOx2n/2pLoZhFETAnr7+jGjiAIYhDqEAmCSAZ6AAQw2Cfl2oxwOPsT2yIirvhURXaem7yZnN3ddnm5YIyion5V9I3ZOPmiIpEGbvDYn74iC4oi4fUF8MNfridB0ShYzUqRppFERTFHFCW8s7kB56+eAQCYYTPi0+tW4tTnPkOrI7UiaPZ0OvDqwQ6cPyt6JGNxxSxYs3KwZ8tHcNkHhr1faTPIhRJBFHHgcCdcCRIUqbE7vNhX04E5lbngeQ4Mw6DYooMEaVgUWjgSJLTUHUJbQy1KZs5B2Zx54DUjXzc0LINzKnNxZkWOXGwSJYniz8bJvj7lvtFq1qIw14TWzlCHC7VTUXMU5xzi6IhW+nQ5hl9zeIYFq3Iq8gphoiJT5Ps0ciqKTrZeETM2UUE35syzmUP66cYBciqKBxk6JTpsqsaf6cipaMrztbNmhwiKPH4BV//9U2ypG9vzZnOfB/e+vR/3vr1fXseygEnLgwHAsywcvgB8EWJ+6+49R9nnKOYUOfwCLvj3Nlh1PHQcCz3PQsexyjLPym6MQ26LHBN0WWQZBtzg+qF1eUYtZmebcGKJDXkmXchnsQyDEosBX5ldjMtnFcEjiDjY68Drte347+F2cs6bwqidigRyKiIQnGT020+O4DcnzQIAFJn1+PYxpXhke0OCW0YQsSOsv6MbO4IgiEFIVEQQRDIgAugAUAQEI9Bqm0hUlMr4/UrhiOXYEbaMLR1dynmVPcaovd5+pShjNU++qMio14y+UQrD8yyWLSoNWSeKEliWgSCIWL+pAQ88tgWH6vsS1MKpg16nPAeTU1F8+M2TWzGzJBNzZ2QBACw6Hu9duQwrntwEuy+1htM3N/fDwHM4fUZkVxgAsNiysOyUs1G7Zwcaa/bLEUksw8CiVR5DWtvsSSEoGsLp9GH/oU7MmZkHnlOi0CQJaHWMLCwCAFEUUH9gD1pqD2F61QIUV8wKEU9EYpFqFnmnx0OD9uPkiN0BT0CAflAI9v4/LsW+w93gWAYFuSZYjFpoVUXeAgPF7cYbdR3U7RwuDOBVv4lgjIzSR2q1Omi0ke+5nAFyM41GhkYlHnaS4CXWzLUpMbJtDi+8AvXTsYZnAa3KxXaqxp/pNVR7msqcdWwJbv/qYvm1xy/gjAf/h/qjFLmJImD3jE8Yy4wzoiwSA97YinEZAHNzzDh5ehbWlGXjmHxLiKMSwzAw8ByqczNQnZuB25bNDHnP7gvg4je2ottD1/OpgPpSx6epczYxnOd2teKiOflYWhh0iv12dRleO9RBonYiZQiQUxFBEEREqEMkCCJZaMOQqCiLCj2pTqhTUWihNS/HioryfJiNejhcHny+oxY+X2wGwvoGlIFAi2lsYp0BlcOIQTf5A8RZGUqBSB0bly7cdcuZipuJIGL5+U9DAmAyaNA34IHHK4x8AAIAUJhvDrHcb2wnUVE86O734NKfvYW7bjgWXz6lEkBQWPTcBdU476VtCW5d7Pmgvgc+QcS5M3OjbsPxPCqrlyC/tByHdn2B3o425Bq18vkoiCLaO4Y7GSUap9OHAzUdmDMzT45CK7HqIUpAu3N0YREA+H1e1OzYiqZDBzBjfjXyppVFjL4AgEy98ljWRdFn48Ynini9qQlfnl4GANDwLBbOjn5eHpuXhRfWLMf3Nm9Hpyd5BG1TGeMIzpMuu33YOk2YqCjkWObobpIkKoqOXvVv0OSkfiTWzMpQzsvaPhJtxYPqPEvIdbJuCsWfeVSTZsipaOqybE4u7r/xODnyKSCIuOAvHx+1oGg8SJIk/w6OxqkoXkgA9nQ5sKfLgYe2NsCm53H8NBtWl2ZhVelwF6Pwe1+LlscVs4vx0I66yWs0MWHUEx34ZDwhiYQgAbj1/YN48ytLoOVYcCyDF750DE56cTMiGLARxJQjbJIX1dAJgiAGoQ6RIIhkoW1oIddmHGk7IgVQi2N4ngPHsbj60hNx/ZUnYeHcUFeafrsLb7+/Ay/+dxPe37hnWOFpPPT1K7Ndxxpl5lC5Z+h1k3/ZNBkU8VMgzZ7Of/Wzs3HtFSvk1zv2dcgiL3uKxUnFm8VzlZgqtzeA7n4qNsYLj0/ArX/+BBzL4MKTKgAAC/Mto+w1dfm4qQ+ugICL5+SDG2H2qsWWhUWrTkVvRxvynC3ob2+FJEmw270IJKnbg8Ppw4FDnZhdmSsLi8oy9BAlEZ2usQsb3E479nz6ERoO7sPM6iXIzBkeG2dWOTcZeB5WjQYDfhJPjIf/1DXAotHgjOKiMW2fpdPi7ycsxXUfbSVhUQywaHlIUByK1L2BK4JTkVpUFC4PNprNiIQACR6B4s8ioWXZEKeIJnIqijnTTMrElzoSFcWFJUUZ8nLbgAdu/9SZPKB2KtLyk+fES8SOmdMy8OiPVkM36DQlShK+/vRW7G8bLoydLNgp4AzT6wng9UOdeP1QJwBgdpYJJ5TYcNL0LBxblBlRiGLVUjliqiCqxt80k+gyTiQ/B3tc+P2mWtx+QnDMI0uvxcOnzMc3392d4JYRxNEjkFMRQRBERKhDJAgiWWgfWiCnotTHpxog1us02PLOrzBzRkHEbTMsRlx2wUpcdsFK7K9pwX0PvYqX3/hsQuIil1spGmrGONhrd6qcihIw+KVV2ecLaeRUdNPXV+G6K1fKrx0uH3750CcJbNHUpqoyR16m6LPJ4Zm39suiIgYAi2DWZyqyrc2OXncAV8wvhGWU2fm2vAJcNPcYeNwu7Nu3D2+v2zRJrZwYdocXBw91YpZKWFSeaYQgudDjHp/ox97bjS82rEPR9EpUVi8Gr1HErUaNck3yCSLOmlaMVxoa4RGmTkE10QiShCcOHsKbjc1YlpuNUpMJHkFAu9uDNrcbDIACowFLsrNRlRksXGs5FvcvX4ir/7c1sY1PAayaUAfIUrMVgiQiEAhgE8PAxWtCXIZ4RiUqkkJ7R4MpslORi1yKolJhyZTdIAKihFbX2BzViLGTo1f6bHIqig8zs5TJRU1T7DtWi4p0JJiYcuTZDPj7T9cgYzDuXJIk/PyV3dhwsDOh7ZqKxjAHepw40OPEEzuaYNFyKLUa4BdF3HvSbCwuCMb9aqbiXyxNURfW1fGUBAEAj37RhEUFVpxdGXSIPb7YhupcC3Z0Jk6MSRCxgJyKCIIgIkMSc4IgkgXZqSjHRqKiVCfccSdcUCSKEnx+YZhwaM7MIjz5f9/C+/+5HYsXTh/35+q0KtefMQp07E6lgKVPQPyZWkg0FWYqxgKWZfGj75wkv+7p9+DrP30Luw90JbBVU5uKskx5maLPJgezQSk+MgyD40tsCWxN/Knrd+P/PqvHgW7niNtl6nnwHAuz2Yxly5bhmCWnYNHSVSgtmwmL1QaGTb7HkwGHFzVHuiCKwf6YYRhU2owwTTDepKXuED577y04+nvldeqZvy4hAKtGg9OKCpEevX5saXW78WpDE/687wAeP3gIrzU24bOubmzp6sarDU24a9sOvNbQJG+fp9eh0KAb4YjEWDDzob8Hm06HHL0B+oAAm06PYpMZxUYzMrRaZGi1yNSp4l3F0HsyY1RREbkURaPUbJWX292e8IFwIgaYNUo9gZyK4kNZhjIO0DzFvmNvQBEBk1PR1MKk5/HYLatRlBO89kiShL9+eBjPf9qQ4JYBU70rt/sE7Oly4GCPC3avcg3XJOH9PhEZEcpJyNCTCRGBn7x3AF2DDu8Mw+CBk+YmuEUEcfSQqIggCCIy1CESBJEsyE5FueRUlPJ4I1jZS5KEuqZ+/PLhTdi4tRkAkGnV4puXH4PzT61Ejs0gz8BeeswMbPjvHXjplU340R3Pot8+tkFnjcr1Z6yiogGHMtM7EfFnTrdq8E0z+aKmRLBq5QxoVTN8r/nh69h/uCeBLZr6FBco8VvNnSQqmgz2HOmGzy/IbmPPXrAAD26pxwOf1ie4ZfHD4RPw1M4WLC/KwNmVOdBFsMiflaWIBRxOLwYcPthsubDZgrMbRVGEy2mH0zkAj9sFn88DURQH/wSvHRIkDI1vK+JTacwOdgzDgGFZMGAgQYIoCBCEAHw+L7weNwIR3FD6Bzw4VNuNyvIcsCwDhmEwK8uEbW0D4/iGFNxOOz5f/w7mr1yFguJpIaJR12BhssBgQHWWDdt7eqMdhpgAEoBnDx/B6cWF0HEcGIbBgqwMtDZ3JLppUxqThodfFKHjQu9VnE6nahsNTGGORgDgH7OoiJyKolFoUCLjWlwUcRprNCzAq/rpuv6pJXiZKhSYFbHhVBMVeVSTZsbqiEskHrNBg8duWY355Vnyurd2t+G+dw4ksFUKU1xTFEJA5XhDoqKpg/oWLVKUHUEM+ATc+/ER3H/aHABAgUmHO1ZW4p5NhxLcMoKYOBR/RhAEERnqEAmCSBZUTkXGkbYjUoA9Nd0ICCJ4joUkSThY14tfPbwZm7e3hGzXN+DDfX/bgvv+tgWrl03Dr354IgpylULTpeevRPW8Mlz93Uew72DzqJ+rdv3hx5gH3z+giIp4joWWZ+ELTF6IUUePS/l8ngXPs8OcnlKNBVVFIa8DggSrWYsBhy/KHsRoqMWa5FQ0OfQ7fPjDs1/gtmuXAQgKWb6/vAwL8iy49rXdCW5dfNnS0o8D3U6cOzMX83PNIe8VWpSCYWv7cFt0lmVhtmTAbMmIezuj4fW6YR/oQ19vJ3p6OuGw9wEAevvcqG/sRXlZsPCk5VhMs+jRZJ9YAV8QAtj58QYUnnUmgKBjnyhJIZFnS3KyUWt3oN9PYopYIiHoejMkgLliRinWN3eAfHAmjkXD45OOHlRlmMExLCQEBYANPb0IiCL4EQqIfjFUbK43Rn4WIFFRdLL1ynW+yUmiolhTlWGRJzcAQEM/fcfxIMugiA4bel0jbJl8qOPPyKko+dHyLI6bX4DbvroIFcXKPeeu5j585/kvEtiyUKQUkhWpBcQ8xWhNGQKqSRsa+ncjovDvfe34yrxCLC0K9qeXzC7EE7sa0eygOF5iahIInbCWHjN8CYIgxgCJigiCSBYo/iyNCAREXHzjK7jyvCqsfbcGW3e1j7rPh5814cSvvIDrL1mAH3xtiewaNLuyCBtfvRMPPvY27v/L63C5owtPGpqU+KysjLGdZ129obNkjQYNfPbJezCubRmAIIjgOBYMw+CUVbPwzvr9k/b5iWAgzHnqracugShK+Hx3G+57ZDN27OtMUMumLhazEsXV3EGiosni76/uQ3OHE/fddBzMRm3wN1yejfeuXIoL//UF7L7UFQj2ewN4bncryjL0OH1GDmZkGsAwgEnluNbaPjGXn3ij0xmgyzUgJ7cQAOByOdDaUo/21gZ0dDmQbTPCatUDCIqkWh3eCUcNSZKI/Zs2oruyENnZ2XAHhJCoCxYMjsvPxVtNLdEPQkyIVrcHtsEIrkKjHg+uPAY3btqe4FZNXSwaDVyBAD7v7gtZf6ixGYf67Cg06mHVaMAyAAOAU4mM3EKonEtviHyPRvFn0bFqVIJNEhXFnIXZSrxcs90T4kpDxA71PUJj7xRzKlI58ZJT0dhgGQbHVGZjdlkmMk1a6LU8GCYoxOfY4J+hZZYFWJaBhmPBsUxwsg3LgucYaHgOWg0LDR+csBQQJAhC8GZKw7PKH44NHoNnUZJngl4bOiR+uNOB8//ycSK+iqhM9fgzNSFORWkS654KqMVg2jFOzCPSDwnAd9/eh3e/uhQWLQ+WYXD38bPw9Xd2JbppBDEhyKmIIAgiMtQhEgSRLMiqkmxbsPCYSgMoxHD2HurG7Q98NO79nvjXLjz5n1145vfnYHl1sOCr1fK45cZzccl5x+Kr334YO/c2RNzX6VbEQGMdx+oMmyVrNmrQN4miIq9PwMGGPlQNWrLf+v3TUl5U9MLabbjrJ2dDp4qbY1kGyxYW4ukHzsXy85+G1zc8Qo+IjlZdpCGnoknlnc0NONLcj0dvOxmlgzF0s7JN2PaN4/HHT+vw8NbGBLcwvtT3e/DYtiYUW3S4aVmp7PQgihLaO4Y7FSUjRqMZFZXzMKNiLjo7mv+fvfOOc6O88/9nikZ9e991xx1jDJhqOgQCCQFCKiEB0vhd6oW7Sy6XciG9N5KQXC4kFxJSICQQQrCNAVNNccXGZb3F69319qZVm/b7Y6SZZ1TWW7Srkfb7fr1szYxGo2el0ZTn+3k+H5zoOoJAQAPP8+A5DkvKvWgenL6jgsipePzxx3HjjTciivSTU5PPjyafD8fDheXa4HQeOdaBFSVB00FnWdCPeq8b3REaUTsdSlyZuxaiif22OxxFNwyxS9AlYnHQcJ7UdB0KU7DieR4eX2ZRUVQlUVE2vKL1+VP8We5ZXmq57rUWmNilUCiRRAhMtE6hORVF5ak74s5XFtT48bEb1+GN5yyEz+OMbumXWgfwzl++CM0BekHWFa2YusRYURHFaBUOMvO9ucmpiJiArlAMv9x1HP96zmIAwJm1+XMeJoiZotpPwM64WCEIgnAAdKdLEIRTMJ2KXCKPMiYehSBS0TTg5jsfxffvfQUKE2m2eEE1Nv/5P/H+my+BkKEzd93qBeZ0NDa5wpSmATqjcAswtvxzxe//ccicXrG0Gp/88MVz3oa5JB5X8MZ33oNjnUNpz/m8LtRWUUTiVFi6oNTWOd3ZN57H1sxPjnSM4KZP/wO7D1kuW5LA49PnL8WO285FmUMKKrNJ51gMC0ssoUDXiVHEZQdUbqYAx3GoqW3CutMvwZJTNiAYNERi5R5XBinQ5HELPEKhEF544YU0x5YkGyorZvAORCZeHRjEx1582ZznOA6nVZTlsUWFi8Bx8ImZXeEjoXQhq0ew1lVTKrgx52G4AAAgAElEQVQen892zmIZp/izrAjMZ9YVJmFcrlng95jTrcMkKpoNzm603KBkVUNXgUXMxRRrwINAhfes3PrGldj6vTfjrRcvzbugSNd19Idi+PSDe/D2XzhDUJRKMQ20k22iIipHFAoKfW/EFPjzAbNrH5LA45IFdA9LFCYpTtTF32FHEAQxSeiASBCEUxgBEAPgBgy3oqFR6hAnJuanv9uNPz56ED+960psWF0DjuPg87rx/S+/F1/5z3cgnCiq6NAh8DwqK4Lma7unIKzQNN3sHA745l5U9ODWI7j9+jVY0miIQ/79o5djaDiM3/zx5ZO/uACRJBFXX7YKAm9Y2LPFxdeb+3GsqzDcTZzC+tU15nQoIs+p0xZhMTgaw81f2Ix/u3kD3vem1eATI3Trg248f+s5uOp3r6CjyL+b9bXWMfj+B3fhT3/bizUrarB8WRWaGsrgchVGVD3HcRiP+vDWt96EQ4cOYufOnWgqiaFjdHoF0GSUwJEjR+BpagJ8gbR16rxeVLnd6I8V9z4yl5RLEm5fvsy2rHmUnNymQzCLSxEAhMfTP1M3I/xWdHsV1+9P3//NbZGoKCP1Xr/tWqmbnIpyTrXXGvDSUmAOOoXChjpLVNQxFEmNnXA8bPyZQC4sGbnzHevxL9evtS3TdR2hmIKxqIKorEKHce+tw3Cy03Qdum7EkOg6oGgaFFWHounmdFzVEJM1xBQVHMdB5DmIAg+OA2KyhriiIqZokFUNqmas3zEYxmOv9WA87mwHPL2IvIpYV0JyKioc6HsjpsLxsRhe6xvDqdXGff/Vi6vxVMdgnltFEFNHsSuN574QQBAE4VBIVEQQhFPQYUSgLQSA6gofmtuH89sioiAYGI7iHR9/BB94+zr8+wfONgv1fp8bfl9mxytd13HX3c9P+j1UVUdyUH3AJ824zVMlrmj4yNefxAPfuRY+jwscx+Frn3szYjEVf/jrzjlvz2xy9zdvwluuXpfRaWrH7i7c+ZVteWhVYbNmRZU53XGCBFn5JBZX8dV7X8Ffn27Bf92+EWevrQUABCQRT9yyEe/6yx68WqTf0YKgGwHJEg099VwLevtC6O0L4annWsBxQHVVAPW1QdRWB1FR5kUw6IbX44Ig8BBFPlEgMo7xHGeIe6w6Omce/0+GrutQFA26roPnOYiiYItbnAyRqIKuE2NYt24dVqxYgRdfeRX3bX0Bmjb1aEbW0GDHCy9i7eVXZFxvZWkJ+nv7Mj5HTI2AKOK/N6xHPROzNRqXcXSMnNymQ0DM/vuJZYjtk5iR7nKKNYQv4M+4naimpo4YJRIsDljxEqNxGeMKRcTmGnYfP0rxZ7PC6irrt982WHjH4qhiHcsEcvNI4+Yrl9sERZqm4+E9Xbjr7wcwGI7nsWXOoph3HdbxRphsFj2Rd9jvzUWiImIS7OsJmaKipWXkMk4UJrI9/4xERQRBEAlIVEQQhJM4gaSoqNx7klUJws4v/7QPz75yHP/z1atRW5U9OkNWNHz1py/glX09k962omqQYBTD82XTfrh9GB/52pO453OXwy0J4DgO3/ny9QiFY/j75v15aVOu+fiHLsKN165PW36iL4Qf3vsqHnzsUFFZwM8VSxZYxcbjveTC4QT2twzili9sxn9/6By866oVAACPKODBt23AB//+Gra0Ft9ovvetbzSPy/2D49h/8ITteV2HKTICuue8fTzPIRhwo7rSjwWNZVi+tAoLm8rAZxA4JmlpG8TihRVwu9246Pzz0OWpw2t7duJEe8vU3ps5X/X09aG2uxtV9fVp6y0NBvB8b18RjVnPHzcuXmgTFMVUFf/+8r48tqiw8WdxGYtHo9DU9DwZdqR7qlDI688sKiKXouw0+S0XuM5xcinKNQFRtDnPkFPR7LCYKTy29heeqCjGiIpIL2FncV0Qn33PBnM+Kqu4/ifP4WBPcQrpZ0LqVWcx3fuy4hTSphQOMrMTkgsbMRlOjFvOukGJSo9EYSLbHTPnfnQxQRCEQ6EzO0EQTsKsMFaSqIiYBgdbhnDhu+5HZZkHm85qgsBz4DkOXKJ3LhxVsOWZNsSV9ALXRChMQSxfoiIAeGZXF+74yhP4+ecvh+QSwHMc7vnO2/Hej9yHbc8cyVu7csUN15xmm9/8TCse/MchPP1SB1S1iHpU55imOqvY2NFDoiKnoGo6Pn/PixgJxXDHW9cBMMQlP7/2VFz46xfRGSquUduXLa40p595odVxRRJN0zEyGsXIaBTNrQN48tmj8PsknL6uAWee3oS6mmDaa070jSEaleFJOMidvbQOmnQ+FixfhcO7XsHIQO9J39fNuC8BhmtL+5HDGUVFHkFEtceD3iiJBmbKWVXW/nh8PIIPP/sqnB2A4myyORXFopkdXViHghRreXh8mUc0k6goO9Ve6zPrpOiznHNGlRXLFVM0HB+jz3g2qPFb9ZqWAhQVySorKqLCO8vH3noqPInCsqbpJCiaAg67XJ4RbH2WA/1GnM7CgAfXLqnFpvoKc5k0wWALgkiikoCQKAJS3HRJVEQQBJGAREUEQTgJ0zqmuoIsUonpMzAcxd+2Nudse7Js3Ux48ygqAgxh0ce/9TTu/swlEAUePM/j3h/djIve9EO0dw7ltW0zxeu17tP+5/49+NbPd+SxNcUDK9IkUZHz+M59u9DaNYpvfuwCAIaDx8+uWYvr/rQrzy3LLUvKrP3w6eeO5rElk2c8HMdzO9rw3I42nLqqFldcsgI11QHzeV0H2o8PY+Up1QCAphIPACBYVoEzLrkSba/vQ+uBvRO+BxsJp2oaFE1HX1cXVEWBkEGoUef1kqgoB7CdhDwHrCwNQhJ47BsewRR1xwSAgCvztVE0Q/QZYHfnUvUUUZE388CCiEKyr2yUSx5zuoucinLOugpLVNQ+EoFWTFV+B8GeD48WoKhIYQZAUA3VYnFdENecu9Ccv++ldhIUTUDqJUgxFeR1kNDAqYg8sKm+Apc0VeK0qhLU+z0ZBUQeEhURk0AlASFRBJBTEUEQRGZIVEQQhJMwnYqqKsipiHAOcVk1p32e/Ecpb33xGP7j+8/iO5+6EDzPweUS8Pif/x/Oufp7GBktzGJSwCehodaK6WrpGM5ja4oLv8+6/+2gTnxH8uC2o/jXd52Ouioj9qfEXVyX6FcuqbDZ5W9/oTWPrZkerx3swf5DPTjjtEZceekKlASNIn5r+6ApKnILPKp8LvSHZXAchyVrTgPAofXAnqzbZWOjkvECqqJisLcX1Q0NaevXeD1AYetHHcHOgUEsSMRsNfi8+N65RvSmrutoD4Xxk9dbsHdoJJ9NLCiCUxQVseUFJUVU5M3iVBRVSVSUDb/LujbtIqeinHNKiRXJ10zRZ7PColKPTWx4tL/wRPB2p6I8NsRhvOuKUyCJxrWOomr4xmOv57lFs8eK2gD+77ZzUB2UYJbSM+0LmYSJnLE89Sm+iHYmm1NREf1dhcpZNaW4dc0CrK0MIOgSJ/WdkKaWmAyaTgJCovCRVXIqIgiCyARJzAmCcBKmqKia4s8IBxGLW6Iir0OK/Q8/3YLv37fTnC8p8eLZRz+JivLCdPn6t49eDlE0LksUVcOzLx/Pc4uKA8nFQxSsnhxyKnImqxeXm4IiAHipq7jEDO9Ya0V57TvQjYHBwizK6jrw6p5OfPfup7F52yHEYgoGhsIYYaJwTkuJSVuyZh3KqmqybtMjMqIipuNqqL8/4/pVbvd0m08wPNR+DP3RWNpyjuOwOOjHtzaeirvPPR1lkjPO+U6nxJVZcB0ZT3cbcfGcrXClpNi+eHxZnIpIVJQVibeOI93h9P2amBkNfssJ6miBnr+czkULy83pkYiMvgKMgI2RzV0aXreAmy5eas7/c/8JhOPF+zl9/to1qCv1QOB5I4Y9EcWe9o/P8C+xXCjiCjwrNCjev9LZbKgO4ocXr8WzbzsfP7/8NJxXX44SyZVVUNQXth+L42rx/n6J3GGPP6NfO1GYkFMRQRBEZkhURBCEkzDjzypJVEQ4iGjcKmT58hx/xvKzP+/DA1uPmPOV5X689PidWNRYPsGrnMnaVXXm9Lbn23Gir/BiD5zIulXVtk7C470kKnIi73zDCnM6qqj4wtO5i290AhvrLReyp59ryWNLcoOsaHjquRZ85+6n8cLL7WhpHTCfq/Gni35OOe3MrNtyi9btWFyzBKyjg4MZ1w+4RCrE5ICwouKLu3ZjR18/FC29QMJxHJaXBnDfxWdjVWkwwxYIlpIs4qtIKP2c42OEdJqm2eLPREGE2+NJew1A8WfZ8PKirWDTTU5FOaeUceI6VqCOoE7nTOY64UhfYV6rRhXrHM5xHESeultvuHAJygLGdZGu6/jqo8XrUgQANcHM56/p0jw4js6x4jnm2J2K8teO+ca5dWX4wUVr8MxN5+OXV5yOTQ0V8DLXYkkUTceB/hDue60Ld249iEvu24Gz730BT7db9yQR5jhHENlQyamIKAJkex8BjewiCIJI4JzKKEEQBCMqqiJREeEgIlE2/sxZp87/+vHz8HlEXLNpCQDA55Ow+cF/wVlXfAdjocIZrc70O6Cu2p99RWJKrFtZbU73DIZtrluEc1i+sMyc3to6gGgRjXYv84goY46bTxWBqCjJeDiOR/55AC1t/fjHHz8AABB4DsvKvTg6FDHXK6mohMcXQDScXih1MT2tMnMgDIcyRxVy4OARBERU+i3PlL5oDN997YAp0nILAs6vqcaNixYaMXMAXDyPb29chxu2Pg+StGRG4nlIWYrn0QxORR7BKmQput2lyOvPfv4fV+RptrC4WRiwRG+qrqMvxYGLByDyHASOh4vnIPIcRM5ww3DxPETOWJaKnojh0aFD1w2HCWM+M0kHCk03xAMajEdVN7ahJbahJabZdXQki82J57K8B4dkcYpLWw5YRWou8X9yXtE0qDPIbGGLr83kVDQrrKy0nFaPFKgAPtWpqMQvYnCs8ByXcoUocPiX69ea8wdPjKG7yEV5rMvQS13D+PrzLeaxDzAcOzgYxyoOHPTE0S55KuQ443jtSpxT9/aOQSuivCmdFRqQRH7W4AG8aWktblhWh1XlAUhCdoHjwYEQ/tHcjxc7h/Fa3xgiGe5BK72WG+VAhK7FiJPDOhVR1CFRqMgqORURBEFkwlmVUYIg5ju9yYmKUg84zi40IIh8EY5anSdeh4mKVE3HJ7+9Hf1DUbz3zasBAMGAB0/97WM456rvQSkQccK2Zw5j0zmGPf5pq2rw06+8AZ/7znYMDhd35/Nss2pZpTl9nKLPHEvQZ3XWHhuJTLBm4fHONXVmZ+JYKIZd+zrz3KLcs/9gL154uR3nbVwEAFhVFbCJigCgpKIio6hIYDpa2fgzOZ69097F8yQqyiHJS82oqmJb9wk809ODmxYvwg2LFgIAJIHHW5c04Y+tFMuZiaAr+3VRJGwXFXEAAqK1vg4dQZfVR1tfUYFqj898zloPWFlaYW4jeUzhEsIRLjHNYhZrE/M8IzIBkqIZax12PhWO/d8mXJk8qe3LVmNJ3vuk/v1s+4REhI7A8VhZUmGuF1VUfGDlIggJ4ZCYiNQpVNhC+0yJKCpCsooxWcFgLI7eSAw9kTiG4/EJBUfryoO2gtihAXLSnA0aSyyHl4J1KpLt5+WSgHtei4r+/Z2no77SEIrquo7PPrQ3zy2afdhj1ctdI9jdk1kgPl9hD7UFfGpyJD6Rx7tXNuINi6qxOOibMEaveXAcf2/uw6PNfWgeOrlQtpwRFfWOz99jGjF52OsqcioiCpU4ORURBEFkxFmVUYIg5jumU5Eg8Cgv8WBwhAQFRP4ZZ7Lk/R7XBGvmB03TcdcvdsDjFvD2RIxSfW0pnvzrx3Dp9T8uCGHRPb9+Dh/9wEWoKDOKiVduWozVp1Tig59+DM3tw3luXeGyqKnEnO6gjm3H4nJZI0hl5/9cp8RFC62C9yu7OgrieDQd/vy3vaaoqNQtwiVwttFtLik9EiM5Wj0J23Glqtl9cTK5ihC5Q9Z03N/ShiWBAE6vNPbfqxprSVSUhUAWUZGmaYiGU0SSHOBiRswbzlvW66vLym0ioySKrmFZsCxtOQHU+iyHl7CiIpgliq4QyWXR2SsK8IoCqr0SlsL6zDRdx1BMxkAsjoGojIFoHP2xOIZihtjonBorUvjYSAQhcnycFUrc1n57sECvV1OdioLe4vktToXKEjf+3/VrcdsbV5nLmntD2NUxksdWEU6A4s9yS51PwntXL8DFjRWo9bkndIR5vT+ELa0DeOxoHw5OURzLXlf0kKiImAQaMzo4VVRPEIVCXCVREUEQRCbm510uQRBOZRRADImLtYoyEhURziAUthwjfA7uIP7CT19AdbkXl25cAABYtrgKu5/8D5x28begac4v5L/99l/hr7/9IAJ+436tqS6In3/tKrzhvX+COpPcinlMXXXAnO4o0DiJYsfvEbG43hJ/Hewvru9pVZUVZ7RzX1ceWzK7PLb1IL782avg90ngOA6n1QTxaveo+bzARD4l8bkEWwFA1hlRkTKBqIjLHmNA5I7nevtMUVGj34trm2rx6PGek7xq/pHNqSgWiWS0HGX3Xi3FGcjvDyATSgFcw+QLr2CJ3UMyhfRNFZ7jUOmRUOmRgFJruabrGIkruLShylwWVzX8y1kLIKs6YqqGsZiC4ZiC8biKcVmFrGmMi5ThqMVzSMwbx3pV140ouWQcXDJmjomXy+Salc2JK9NztueZh1QXrGTEXSrdodicxrCuqPTZHLUOFaioSNF0qJpuOoSU+JxTf+I4oKrUg7oKH6pKPfB7XBAEDpqmg084mhmPRoSXIPDwSAJcIm88x3Hg+MS+zHMQBR4u0fgniTzckgCPS0BdpQ+nLqmAyIhHo7KK9/xqRx7/+rmD/SXSnWs6GsWfzZi1FQHcsqoJG+vKUCqJWYVEqqbjpa4RbGntx5bWARwfm36/qle0fs/kVERMBoVRENJYGKJQke35o865qCMIgsgzzq2MEgQxH9FhRKAtAICqci85lBCOYCxkdZ74HOhUlERRdXz8m0/jV1+6EhvX1gIAKsr9eP4fn8C5V38/z607OQcO92DVeV/DkZf+C16P4VSwsLEUn7j1THzvf1/Jc+sKk/IS696340RxiVWKhTdftMQsvmi6jsdb+vPcotwRlHhUMpb5u/YWX/RZknBExj+2HMTb3nIaAGBxmdcmKuLF9NuuADPyV9Y0sLoJTdWg63rGYgE5Fc0Nz/b04p1LFqPSYxxHP7rmFMQ1HVu6eid+4TyjxJX5uig6nnkkPLtP61qKqCjgT10dgOFURGTGzRTvx0hUlDN4jkO524UKt7V/x1QNC0rSXeeKjV/sPI7W4bmLYr18sRXV2xeKYaCAi9ZRWYU/4boU8OX3nrHE78KVZy3AlWc24ty1tQj60l3gZpuorOJNP34GPaOxOX/vfJAasUnYscWf5a0VhcelTRV4+/IGrKsqgVdMH6SQJCyr2H5sEFtaB7CtbQDDsdxcE7D3HT3j8+O3TMwMlbm+n8hBiyCcDDkVEQRBZIZERQRBOI0eMKIignACIyGr8yTgda6oCAAiMQW3f3EL9j3wHnPZwqYKPHDv7bjptl/lsWWTo7G+BB63/TO+4z0b0DcYxm8fOpCnVhUuXkYEd5ycihzJ7detMaePDIyjmNLBPrZxkdmROB6O46VXj+W5RbPLAw/vNUVFboFHudeFoYjhdJfJqYgd+Sur6V+8qigQMwg2XORUNCeouo77W1rx0TVGhAvPcbjz1OWodEv4A0WhmZRkcSqKhLOIipjpVKciny+LqIicirIicKyoiKK5cg0r2hqNkmhrNtjYYLk1vn6iMF2KkkQVDQnDVfjc2Yv/s0l1mQcfeNNqvPvy5fB58tPlq2o6XmkfxEd+vxP9ocIViU0dKp5PBAmtJofEAzcua8CbltZgeZkfIp/9ur8/HMcTbQPY0jqAZzuGEMtwPzETVpT7bKKQzlFykidODhvpLdBhkShQSFREEASRGRIVEQThNMxcicoyEhURzmBkzBIVOTn+LEkkpuBAyyDWLK0wl52/cQl+/eN349aP/T6PLTs5m85ZmjaaieM4fP7jF2BkLI6HtzbnqWWFR0WpBzwzsrCjwAs1xUhthRdLG628lS9uL679+62r68zpzU8eRixe3AXvHa8ew+BwGBVlRgf8+tognmobBADwQvq5wyYqyuDEoqkqkEFUxNOIzzlje08vvKKI9684BYBxPrrllIUkKmIokbKIikLpQlaes49YTjEqIqeiKSLyvO3zHJ8gNjETuq5DU1Voqgo9pdrLcZxpu8FxHLjEe2UbcV6sI9EF5u8aLfJzWL5YUWn97l8/MTrBms4nplj7iH+O3W09koCP3HAqbnvjSnjdmY/Luq5DVnXICTdEcByg69AAIBHJpwPQNGM9VUvE9SEZ2WdsQ9F0KKoGWdWhaBqisoaIrGIgFMOOtkH8dXcn5rsWlPQzJ6E4TxnTplQSccuqJlyxsAqNAc+E1/qtw2FsaR3AltZ+7DwxmnYtlUtOqwma0yMxhc6DxKQIMfuJawJRHEE4mbj94Fr8VqUEQRCTxPmVUYIg5htmpkQlORURDmGYsWx3cvwZi5ahJ/cNl67Gb+6+Ge/76O/y0KKJkSQRb7x8NT7ziStty6NxBR5JBMdx+PZnL8XRY0PYf3ggT60sLM5YV2tOx2UVPUNzF2VBTI4L1jfY5i9bXInnj4/kqTW55U2nVKGaidp48JF9eWzN3KDrwK69Xbj8IkOAUud3M8+lH5MlxgFDznDM5rJ0wqa6uxCzy+OdXTi1rBTn1FQDKF7xxHQJZok/i2SIP/OAQ29vL3Rdh67rGFdk8zkOHLq7usAn9vukgIXjOPTHIoioilEET7xWTxS32WUs5veUeNQ1zbw2YrdtE85wXNb4muT2U99nQph1U1+XaTvsvsW2nxXzcBygqhpURUFAECF0dENRFMRlBa929UJTNaiqYoqFVFWFpirGckWBpqlQFRWaZjyfa1jxEcfx4HguRZTEg+d58/iWFD9zCccla7n9+DfRd22f15n1jc/LJbnh9nrh9vrgLylBSXk5AmXlae+RSolLtH0nozmKkiHs1DLnykJ3KooxdpNz6W574Wn1uOv2jVhYG7At13QdR3pCeHhPJx7YeXzexJARToWuX1kWBDx47+omXNhQgSqvNOH15e6eUWxpHcDmln40D4XnrI0rGdEnuRQRk4W9XhLovokoUMipiCAIIjMkKiIIwmmQUxHhOIZGrA6UfNnITxU1y5C1Ky9ZhW9+8Tp8+ksPz3GLslNfW4Ltj3wCfkaAAADf+cNu7G8bwr2fuRSAUXj69B3n4r2fejQfzSw4Tl1eZU539o1Dm81hjMS06Bm0dwp/cEMTHmvuw6sFXlTjAXz7ilXm/MEjvXj2xdb8NWgO2bu/2xQVCTyHCxaU4bmO4YwCApHxg49niCvIVvDWKD9izokw4ouucRJoJuE5wC9mjvjJJCqSeA4HDx4EYIg+Ypr1ubolN1587rmM2xqMRaGSW1Ea5ZIHvR7jfimqqjg+nP+YU10rDNkjx/PwB0vgLy1FoLQUgdIy+EtK4C8pNY+9lR7rujQiqxmP08TMqPZJkJhz4b6uwhZWR5kIwrm4Z6ws9eBzt5yB6y5YbFuuaTq2vt6Dz/xlHwbD8yl+LN9YRz8qo08MN08/ofVVQbxnVRPOqi1FMEW4yhJXNbxwfBibW/vxRNsAesbz8ztewvTJdo6RqIiYHHGVORbOz586UQSQqIggCCIzhVEZJQhiPmE6FVWRUxHhEAaHrQ4UySXAJfKQFWcXFlTmRv7h59qwflklFtUZ9tXvueks9PeH8O2fbMtX82x87b/elCYo2vF6D371j0OIySoef6kDV529AAAdF6bCKUus+DuKPnMmz+3pxr0PH8Bt160BYDhTvGddA149cSjPLZsZf7hxPfySJTT46veewHzRwYyORdHVPYKGeiPWblGpF5LA4zeH0j8ANtogU/xZNqei+fJZOokwE2nT4PPi7KpyvNQ/lMcWOYOAmL07IZpBVOQWrONC6m7s9mR3lddIUJQRifk8SfAyNXRNQ2hkGKGRYWtEC4zzsC9YgkBpKZTaaowHjTjLgXAMRzqHwfMCeEGE6HLB6w9A8njhcrvhkiRwHA9dN2KldE1LuGlZ84Dl5ARwhktTihMVkD1ibjqkOnaxy5zguvaWldVmO0YjMloG0o8bhQTrVJQtgixXvO2SpfivW85AkLmH0nUdu44N4wP/9wqJifIAe33mgJ+X45iv16+XLajE209pwLqqIDxZhNgAMBZX8GTbILa09uPpY4MYc0DUWEPQujY7PkZOZ8TkYAfT0KGQKFRk+6DMwogsIAiCmANIVEQQhNM4kZyoqiDxAOEM+lNio/xeF4Yd3qmiMMWl8aiMW7/+JP5815WoKvWC4zh88o5L0Ns/ht/88eU8ttKgvrbENv/9P+/FLx4+gHiiY37XkX5TVLR4QRlKAhJGQ+kd5VddtAQfevd6VJX7MDQawd4DvZCV3PdearoORdGgqBpkRTOmFQ1xWYWqaojLmhFNouoQRR48z0EQOAg8B17gM3aslAbdUFUN4YhhFc2laAnYwg/PcXBLAlwu3ioMgTNfI/AcvB4XLr9gkfmai85oxE8/fQl43tgWzxnFLJ4zHKAEnoMg8MYjM22sC3B84jVc4vW8ERHDM3ExPG+MOU0+JpenPvJMvIz5HNKXJTneE8J1d/4d4Whxxo785tGDpqgIAEYKOF6lRBLx4NtOt1nl/+2x/dj+/PxwKQIAQeCwY2cHrrrMC18iyqAh6MHliyrAd/oQiqtQE7FN7LFA4nhwLg6s1KLS4wYHzhZ3Jms6Ai4RJS4XVF2Hlvin6jo06CBDstnhmZ5eXLOgEYBxjP3ymWuh68bnrSe+n+Soe766s6sAACAASURBVEXX0BeN497DbXi2t7jjOgOu7N0JkXC6OMDFW3t96q4quTMPANV0vSCcb/KByAgP4/Tjzwm6rmN8dATjoyMoHR1Ef6IA3BOKoWNkfriUxcrXAlzg5CvmgAsXlJvTe7pGCl50wIqKZsupaPWiMnzx1rOwcVWNbXkopuDOP+3G4wd6srySmG3Y3ZcK6enMl89H5IEbl9XjuqW1WF7mt52rU+kZj2FL6wC2tPTjxc5hx53Lq5gYR4o/IyaLs/ZigpgeKfH0Urb1CIIg5hskKiIIwml0JSdqK335bAdBmAyM2DtQfB7R8aKiuGzdALldAo71hnDbN57C7z9/OYI+o9D91c+9GUda+/D8S235ayjsAqj7tx7B3X95zfb8c6+ZWkO4RB4P/OwGvOGWP9rW+cXXr8Il5y40RTYNtQGsXV49i60uPN5w7sJ8N2FaLG4owc1Xr8T//HV/vpsyK1x/yVLb/M9e7chTS6YPD+AzFyzBbeub4BatjvPm1gF86Vtb8tewPMDzPMIRGU883YxLNi1DMGAIJTjoKPdKyGa2Vu+3X/NwHIezqqsyrnt+7cTHtqTQSEdyVLglykjMQtV1qLqWeEyIJXXNFChZgiVrtD3H/J98H5UVNSWETUi8rzFvtUfTkRA+WfM6rLZmWqYzr1GT2zAFVNZ8XNMgaxoUTYOi61A0HcPxOLoj4dRRhtPi6NgY/tzajrctscSaHMfBSO2xl8YECGjye/G501fh/5qP4fcthfebnizBLKIiORaDpqSPsHfZnIrs34vbk11URGRGYN3OyKko57iZQvC4nH/HiDljDi1WVlRZIuS9nYUdfQakOBVJ2R1JJovXLeC8tXXwuUVUlLhx6YZGbFpXZ7hcJdB1HY/s7can/rQLDjfSJeY5CnM9xheZqigoiXjPykZcuagKCwJemxtpKi1DYTze0o/Nrf3Y0zPmaAFGkHFco/gzYrKMpgyS8oo8InSCIgoMWbUdnUlURBAEkYBERQRBOI3O5ER1hQ+iwEFRnXybTcwHFMWILkgKVvxe5zufykwxz+0yOrUPtA3hg99+Gr/5z8vglgTwHId7f3Qz1m76OpQ83uS7GBvwTLXfA21D+M0/D+F9V68EACxZUIrffPcavO/OfwAA7r7rSlx63qL0FxJFQzEXlbv77W4eT7/3bCMqBcbvgZ3WdN2cT8JOCxwHMeEqZXs+g9NH8iPN9MlyMN5rKKqgPxzHSEzGWFzFcFTBcFTGYERGVNWwosKHixZVYHm5Dy7BPgp3z2tduO1jf8LAYHgqH0fBIySqJKOhGB7fdginr2vA0kWV0LSpHWNnEkvDc9yExYz5hKxpODI6ipaxEMZkGYpmCaA4DuBhd0vjkHBkM+fty/qjUVRNENPFwnEc3rNsIR5q60Rkit9/oZAt/iwayfy7Fzl7IZxFkjL31apFfPyfKayoKF6k+1i+cPO8TbgxVsAugk6mmonu2t89mseW5IYYc//lkWbW3SqJPLZ8982on2CgVc9oFO//zct4ravwP7tigL32oi6sdNjzeTFcpzb6PXjv6iZc1FiB6oQ7aTZ2nRjF5tZ+bG7pR8tw4bjeuZn7O4o/IyZLdygGWdXgEgxn7U2NFdjS3p/vZhHElCCnIoIgiMyQqIggCKdhiop4nkNVhQ8n+tLjEwhirtEZt4bCEBVZN0Auxjnk5YN9+PTPX8QPPnYBACAY8OAn33wbPnznH9O2cTLOPmMhzj5jEVYtr0VdTQkklwCOA4aGwxgejaK1fQA793Rg9/5OjGSwy163ph43Xrsep66uN5cd7wtlfK+v37cLaxeX46yE1f/5ZzZh7z9vw8hYDHXVVkTDsZ4QVE3DknorUq1tJIKhiDzlvy8bPG8U8gQuERXGPIq84Vwh8JwRW5Rw10i6diTFISwNAbcpRBgejWCU+azYWipbgJVlI35NT2w7sYbxPpqOWFxBPK5CVoxINl2H+ahpuvFP16FrhkhFUTVomhHrpqqaOa9pOlTVcC8xX5f4p+s6VDXhFpJYx5pPvFbToGs6VOY9NVUz5hPrqol5PbG+qhrb/u3P3gUxse+2FXGx5PXWQdu8zzXzke25otIn4ZSKqbsG/vK3O/CtHz+N2DwswrJF6FhcxY5XO7D/YA8iowMYDUUhicZxkuN5My6QJXme4Xkemqab0YHE9HDxPNaUlWFNWVle3l/gObyhqRZ/O9adl/efbUqkzNdDkfHM1+42wWPKuVCSsjgVOXoMf/7gDembOR/J4AxFTJ9qr31/DLgFuBQeUVUjV6gcUe2TbJGIB4pBVMQ4xXpm6FS0blllVkFRTFHx423NuPvJ5hm9B5Fb2Es6EsSmo2qFLypaVxnEe1Y1YmNtGUokMes1uqxqeKFzGI+39GNr6wB6w+nR7U6nIWAXSlH8GTFZZE3HocFxnFodBABsaiwnURFRcKS4HTu/CEAQBDFHkKiIIAinEQEwCKACAOqqSFREOANN083ir9ft/NMnKypyp4gUHnm+HZduaMRbNi0GAFx75VqsWVGLA4d7TrpdnufxvS9fj+vfuA7SFEbgapqGuKxC140iqyjy4Hk+ZR0d2/dkLrzKqoaP/OBZPHDXG7CgxhAReT0ueD3Wvd3xvhDeddcWjIVl7L337ebyjzx+AIcGnXsc2fP+C+Dnje/oC197HH977ECeW5R/SoJuU1AEAM3HCz8SIxvj0eIQ3miajse3HcLPf/0idu3rOvkLihRRTC8ihsbjOHykB8c7eqewHRe8f9ltzi9dVIHzNhqObKGojIv+ewvcLh6iwMHtEuDiOUguHpIoQBJ4iAIPnjMKXFziWMvDEC0JPAdR4CGJPFwCD0ngIbl4uBLzrsRzEvMbTNbGkm5ZAs8bYkqeg0vgIPBGW8TEeZJLii2Zf3xiGZ8QYfI8l2ijNc1xiWUJYWbyeS4h2OQT2+E5w0ko+RpR4BPvYW0v1T0rH+i6juPjhTMifapkiz+Ljmd2KmJLb6nlVrc78wBQLQfxdcWIJAi2Yh85FeUWiTeE4cnC97JyK6ZL03TEVA0xVUNc1aBoOuSEeBowXM3AgXE7M/7jwSViHdMjKXVzJj0acCZkdjbUM9sUJrh4YTnC3jJLUA5DDKAnojOTMZVJUb2YOKYn90ZV1xFVNAxHFQxFZXSNRRHLYNty/coacx8OxRS0DxW+s2GMEZxJrpmdgwTeLlYYGo+jZyyKB3cex73PtVLUmQNh9SWkKUqnUD+SSxor8PYVDTitqgTeDNf5SUJxBU+1D2Jzaz+eah/EWLywxb5n1JWa0xFZRX8OB2kRxc/hgbApKlpaNvVBSgSRb8ipiCAIIjPOr4oSBDEf6URCVFRb5QfQl9/WEAQAVdMgwugc9nmcf/rM5lSU5Kv37cRlZzQi6HOB5zk8+Ov3Y91F35gwBs3nkfDCP/8V1VWBrOtkg+d5eNwTd67f8/ABHDw2nPX5/pEobvjc4/jGh8/BFWc22Z6LxhXc8d3tuPj0BvznzRvM5aqm49iocwu6pW4Rfkb0tWd/cbpZTJXqSmsf03UdHT1jeWzN7HLTZafY5j/1uUcgyyoEgQPP87ZHUbCL8djiBccZUY2xmGL+/pMuN+YjszL7HJDJNURAQ20JKit8CAbcCAbc8PskBAJuBHwSJEnA4HAErx/qxYuvtOOJ7c3oOlH4LgMzxe/LPIhNlqc2QpkX7EUL1tFI1XQMF+CI57lmzzevRTDhLBiWFYwpiiFmSvwWjOK+VcBPFvotR7lk8dxYJ7lupujApJOcDmNUY1zTEFNVPNHdi1cHsp/XCp0SVxanonC6kFdKRCAkSRVOSG5yKpoKbuYYIav0KeWasKoimMWJi+c5eHkBXgc5C+aSN5+7GPX19SdfcZKomo79fSE8drQff3m9B90hI0LnyqWV5jo7O4aKQoTBulhJGe6/pouiatjwlS052x4xO7AmZg7QNTsaJ/sUiTxw/dJ6XLe0FivK/XDx2b/MvnAcW1r7sbllAC8cH0K8iITQy8otIUhXiKLPiKnRw+wzZW4yeSEKD9kuiBdhjNEiSTdBEPMe51dFCYKYj3QCWAcAdVX+k6xKEHODomhIDqL3eZ1/+ozL1si4TJ3aAyNRfPP3u/CVD5wNACgt8eKn33obPvSp7DFof7vvA2mCos6+cRzvD6GrP2w6EZUH3Sjxu7CgJoC6Ch/ECXpVu/rH8cqhPvz1mVY8ncWliGVoLIYPf2c7Vi0swyUbGrB2cQV06Kgt9+HBu66COyVq4C+HexBx8FDehoBVRNV1HW3HhvLYGudQXWV3BChWAwaPxOMD168x5194uR0PPrIvjy0iZgrrnsaiKFMb3Su57AILNiZCyeD4QNjxSoIpKAKAT7+yD4dHnetYV6iUZnEsjIylC0G9zLVA6h4sCCJEMfO2KEImM2yRk1yKck9vJI4Kt2T7nHVdpzjKaSDwHE6rDeK02iDuPHcxHjncix/uaMdq5lrvxbbBCbZQOLCioonuf4jiRGPOVyIdK9Jgo7ydpioKiDxuXtWENyyqxsKgd8J4ttbhMDa3DODxln7s7hktWlGvj+lDCsuF7bpEzD1R9nzIO+wHTxCTQE4XiboAkMKSIIh5j/OrogRBzEc6kxO1JCoiHALr/OMrsPizTE5FAHD/E804d00t3nS+Ealz7ZVrsWp5LQ4eSY9Bu+SCU7BmZZ05v31PN77wq5fQ0TtxkVbgOdSUe9FQ5Udl0CiSxxUN41EZLV2jGBid3j3ZwWPDpqvRTz91Ic5aWZ22zhNtA/jiM0emvO0an4TrV9Sg0ithR9cwtrXPXqGDFRXJ1FlnworXYkX8udx+3Vq4Ejb6qqrhS9+iUeiFjCBw4LMUERVlajF3YooDDMd0xmoksjgpDeVec1rXdbSQoCjn+AQBQpaiWzgUSl+fFQ2l7MPZos8A2t+zIXKWiFopImcEp6DpOrrDUSwMWE4NveE4ukNRBCQRPpcAr8jDxXMQOCN+MVu8H+twBlhxaFxKVT3nJbcMGzzZe3AAwnEFobhiFtWtGLdErFtiXTbKzfb3cYDAGbFoHGATYok8hxtW1eKGVbW2991RNKIi64OQculkRfXYgoCN65xIlDJfYY+LTvh0PCKPW1c34drFtaj3uycUje7pGcXm1gFsbulHcxFENU4GH3MMY6MdCWIy8BO4kxJEISCnD9qQQKIigiAIEhURBOFIGFERZS8TziAuM6Iir/Pte9n2JkULmfjSr1/BptPqUBYwOtIeuPd2XHLdj9A/aBVgAz4J93znHWZHW1v3GD783adt75ENVdPRPRBG98Dsdb5tXFVjm3+paxi/3HN8WmKgKq8Lj73jTJQmLJrfv74J/zjah09ufR2zUbNrCHjM6dA4xRklqa60BKXh6NTEGIXExWc0mNNPPnsUrx/uzWNriJnizuLaAgDqFJ2KBMG+LbbOoZGA4KQ0MJENqq6jeI8i+SM4wf4eGc8Qf8Zb8WepVw9ujzdtfcAoQqg6FbIyIZJT0awzFJNR4ZYRSIg8a3wSBqMyhmMKhmPFe1T50+bX0CO05mRbEg9ctKAS71rVgI31pbb9lmU4PLVzpFOJKZYQ3jVDpyI+m0qNcCyssx45c6TjBI2wyAPvXNGAG5bWY2FJdkciWdXwYucwNrcOYGtrP07Mw/t0v8u6zos52PmZcCYqK7J0hIyQIKZGhkEbbgDpdrwEQRDzDBIVEQThRMipiHAcbJyYtwCcitj2ikL2m/jBsRi+/6e9+NLtGwEAFWU+7HryP7D7teM40tKPijIvLjzvFFukz7f+sHtSgqK5Qmdu9vb1juHdD++d9rYuaCo3BUVJrllWjT09o/jfvZ1ZXjV9GoKWU9Hg8PwY9TgZ2PizkVDxduKy0RihEA16KnQCAXfW52RlavuxkBIFxRY9SFN0cpoqLFFRVC1et7N8UuLKLLBWFQVyLP14JvHZ4888nsy/HYo+yw5br1bBQRBd4AUegiiC5wUIopB4FMHzieWCAEEQwAsCeEE01heM5Xzi+2HjaXRdB3TdcKPRdei6ljECLPkaXdeha7r5Ok3XoGuJf7rh1qPrGrTEMgDmY9KRypzXNKMCbbrlcOY/VmWZeoVrti2xrqqqiEUiiITGoE7RMQ4AOkJRrCgVICREcSvKfXitLwSZ9s1JEdeAre0D2No+AIkH/u3sZXjnqvo0cdHmj16Ih/d14afbW3CkL93prFBgC+8u10xFRazLA1EIpDp2EXYE5sQ114fQtyytxTtWNGB5mT+rkGhcVvF0+yA2t/bjyfZBjBaxeHQy+CXrGDZexM7BxOzARkcJJLIkCpB4ukOb80cXEwRBzAHOr4oSBDEfOZ6cqCOnIsIhRJlOJX8hOBUxI2WlLPFnSe5/ohkXrq/HFWc2AQAEgceZ6xfizPUL09b967OtePyljtw2doY8/lIH3n3lcgDAmqoA1lYFsL9/egWJGn/mCJZ3rKmfHVERI0I40UODXpJUV1rxZ0Oj0Ty2ZHbZd3QA61cY0X1XX74S9bVBdNN+ULCUZBEV6bqOeHxqojGXmHIsYvpiyUL+5DRVWtePI/H5XRSaLYKuzF0JmVyKAKOgwPM8Nm7ciIgiQ2HcdTacdRZWrl6d9ppxOY4T4ZBZfeQSQgSe503RCAfOFJIk64TJYqUpdoEOnuNtMYIwRS66+ZtiRTQ24QwjbDEXTXLUdaoAxzabWtjU7TFZmdqW/BzOqW2EW5IgCAJ2DYyiM1y858pcoOs6xkdHMTY8hNDIMMZHRhAaGUF4bNQmpEolrmnoZGLQBJ7HuuogDg6GECbnhikR14CvvXgUd+9sxw8uW41z6svM34fAc7hhfSNuWN+Ixw+cwE+2t2Bv10ieWzx1ovLJ46cnC09F2IKDPZZQ/Fk6/Bxfy17aVIFbVjVhbWUwq0taRFaxrX0ADx/uxVPHBhFX6Ro7iYv5zMipiJgq7HV+trhkgnAyGZyKsud1EwRBzCNIVEQQhBMhpyLCcURjheVUFGEioyQpe/wZYFgT/7/vPoOPv/VUfOjNa+DOsv5D21vxn7/YkdN25oKv37cLN12yFJJLgMBz+MEVq3DDX3YhFJ/6iDofExWn6brZIVznz+5AMhPY+LP2jqFZeY9ChHUq6h2K5LEls8uP/7gX775qJXieg8fjwlvfvA53//L5fDeLmCbBLKIiOR4z3TcmS2oclM2piKyKTgrrVNQfK163s3xSklVUlFnUKyREOF6vF7osQmFizWrq6hAsKUl7jS7HUTJBzNp8xu/zmYKMWPpIWiIFjuMQKC1FoLTUtlzTNITHRhEaGUFoZBihkRGMj44iHo1AUzXouoZhWUVQVlHtdRsOStCwrNyHfQXsqDMxs3uOGY0ruP2f++AVeXz+vFNw7bIaW/H6qjV1uGpNHbYd7sX3tx3Bvq7RWW1PLslp/FkeXV2I6cFenlEJPR1hDlw3z6opxW1rFmBDTSncWX6Dsqphe8cQHjnSi62tA+TCkwVySSVmAivIII0sUYjoAGRNY69RZ6dTmCAIosCgHjqCIJyIKSryuEWUBt0YGaNYGCK/KEzBRpggTswpsKIitzixqAgwBDQ/eGAf7n+iGdddsBjrllWgssSDuKzh4LEhPPpCO15rdaboJRxX8O37d+Ozt5wBjuOwpMyHr1+8Ah/f8vqUyyLlTMwb25F2YJrORyejnok/a24dmJX3KERYp6KuvsyuF8XAwEgUh48NY9XicgDAooXleW4RMROCwcz9TLH41B1EJMljX0Ad+1OiocISZXWNF68wMZ8Es8SfRUKZj9nsIGUt5ewcCASQCWWKYrz5CkX8TR+e5xEoLUOgtAzAognXXV0WwPLSAGRZxujoKLYd7caJkRDi0Sg0TYWuaeB4HhzHW3FtfDK2zYqXM2LkYIuWM2DmT5ajxETDZSQ1xg7I6MiUaVlrxA3IE34UOSGiaPjsM4fx388dxr+dvQxvW1EPN+Puc9mKGly2ogZbDvbgB9uasf+E88VFrFOROENRkcqc7MnkoTDQyKloQuwildxdzF7QUI53LG/AhppS2wAhFk3XsaNzBI8c6cVjR/swPM+jzSYDKwTJ5fdFzA/soiI6HhKFh4vnbKJ3AGQLSxAEARIVEQThTAYAxJBQgddW+UhUROQdVlQ0Uzv7uSDMiIqm0t6eoQj+5++vz0aTZpVfPXYIl5/VhHPX1AIA3risGj/mgM89fWTSnYYlkojLF1dmfO7/XuvKWVuTuHgONT7LQXf/wZ6cv0ehwjoVHSvyODCXaHWyDRWxK9N8wOPOLLKQ41N3ynG77aIi6tifGqxT0bHxcB5bUrxkcxCKhNNFRZLA22LAUvdhfzZRkU6iokyIvP3zlElpOCe8PhxCnc+DoMuFyspKXOYL4on24hOEb3+tA5Dnrm6SjEX7xotH8dEzFuG9a5vgc1nCgCtX1eLKVbV4/MAJ/ODJZrzu4OtC1qlInOEgFJW596RybGEg8rMjmikW7PFn00figbee0oBrltRgeZk/tehrY0/PKB4+0otHm/vQM07OlVNBYN3S8tgOojAhURFR6FR509LOqMOWIAgCJCoiCMKZ6DDcipYCQF2VH4cd6pBCzB9U1bopnunI07kgwghpxAIQQeWC9331Sbx4zw0oT7iFXL20GmfXl+EXuzvw+/1dCCvZi5M+kcf/XnMq6jPEF50Yj2Fza3/O21vnd5sdLLqu47UD3Tl/j0KE5zlUlluCgNZO549MnwleRogyPEKiokLGnSUaU1WnPhra5bIfi9gYFJmijiZEEnnUllpORYeGnVuALmSyORVFx9NFRV7muim10CqKLrjdmV2+yKkoMx7B7sQQp89pzmgfC+PUCiOqr8LjQo1fQi8VqnOCBuBHO9vxo53t+JfTF+L96xbAy4iLkrFoWw/14mfPHMWrx4bz19gsRJl7DWECocNkUFTWqYgKsoUAG3lHsZTpsGf/qe7RtV4JN69qxCVNVahn7qEzcXhwHI8c7sUjzb1oHyFjiekyW85SxPyAFbwXgNE7QaRR7bOJigZhDH4nCIKY95CoiCAIp2KKimoZxwqCyBexuDXy1C2dPE4s37BOReI8CTFXNA3XfvpR/P0b16CixHD5qPC68JnzluJ96xrxhe1H8OSxwbTXBVwCfvHGtdhQV5Jxuw8e7LGNtMoVDUxUkqbpGI/MQdZEAVBV4YPAdMofdmDRKJfoTBe7L300FFFASK7M54bpiIoE0X6bxoqK2EIjkU5juSUo0nUdh8ZIVJRrXDwHKcu1RWZRkfXbSI1bCgQzuxQB5FSUDbdgHR9kNTVMLh1F06HoOhRNSzwm/2lQdR2ypjORdJz5PwcjdokDB54zhA08rMKwzq4HY2U+8RohUYwUEjFgPAfwie3wHAee42zvwYMDEo/ZasW6bpwz2V0o9W9PLXy6eD6n0VHHQhGcUuKHRxTAcRzOrCnBY7MgPJ/v/HT3Mfx09zF8/IxFuPXUJniYSKMrVtbgipU1eKl9ED9/thXbDvfCKfXumJK7uGyVHMgKDnbgkUzXamnYUx1P/vtYVxnEzSsbsbGuDKWSOOFr9vWO4Ym2ATze0o+DA8UbnT2XsJd5dDwipgo7MICciohCpMYuKsq9dT1BEESBQqIigiCcSmdyorbKN9F6BDEnhBnBh9fj/NMnK4KaTzfxPUNRXPCRv+JHn9iEK85sNDsf6wNu/M81p+LZ40P47o5W7OsLAQCCkoBfXbPOJigaGImistSKHvp7c++stJV1RYpESVCUpKbKKjDruo6BIh9h2tU3jsZq429+01Wr8YOfPwNlAlctwrlkdSpSpiEqElJFRVahamVDCb7+ztOhQ4emG6JEHYmCe0pltX8shnufakY4Pn/2qcZK67pR0wH6OeWeoJj9Oihb/FkSWVMxJlvOLgHJhb5oekSdBh0v9RkOfsnLGENUYuznOliBSXLegDMfOfP1mq6bghMuIWDhEtPJ7SflNBxnbMz6NenM/1ZbJoduf539KfNZtk1pbWHnAWysqgNKjeX90Tjub+60xEK6BlXTISfmVaeoLaZBUsA0k7+AgxHVV+t1o8bjRoVHQpVHQpkkTuv6WNF1vD48hg1VZQCAQJYYQCI3JJ2L/vWsxbhlTaNNXHT2ogqcvagCLf3j+PWLbXhgdyfCzP1PPojKubv/0pgi/vy5kyt0Cvd4OxeczO2GB/DGxTW4YVkdVlcEbL/3VGKqhheOD2Nraz+2tQ+iO0QGErnG5lSUx3YQhYlsc9vLY0MIYppUemyiIrKVJwiCSEA9IARBOBVGVERORUT+GQ9bog9flsKxk2A7oudbT3Rc0XDHd7djeVMpvvnhc3DaskpTXLSpqRybmsqxt3cMg1EZZ9SWoIT5Plu7R9E9EMb5pXXG/HAYR4bSi525oCFgCZdGRotbODMVamuD5rQ8D9QA3//9Lvzuy1eB4zgsWVSB3//i3bjljvttwkCiMJCyuNgp03AqElNERayCgec4vOP8xZPe1g0bF+CKrz4x5TYUKk0VlqgootLvaDYIuDJfB+m6jlgkPcZR5CxRUVzTEGV/E27JJjJKElZlHB0rbqe66XJOTb053RuNoTNcnNcQubgC0AGMxBWMxBUcHrEEbwIHlLslVLolVHpcqPIY0+Vu10nFID0Rq3jNcRwCkoAQnbNnle+/0obvv9KGO05fgFvXLrBduy+t8uOuN63Fv162HL96oQ2/2dGO0ejUz7u5IK6yzgwz25ZNgDHP7uUKFTbxjJ8nTsFTIVP3hMgD71zRgOuW1GFxiQ/CBJ/bYETGtrYBbG0bwLMdQxiX6bg7m7DfROqgBYI4GazT93wa5EgUD0H7wIGhfLWDIAjCaTi/KkoQxHzleHKijpyKCAcQClsFr0JwKqLce+DI8RHc+PnNuOLMRnzzjnNRxjgDnVYTTFv/0LFh3PT5zdj1q5vMZQ8dnh2XIgBoYNrTTzbtJk31peb0MmNjbQAAIABJREFUeJ6KQnPJS/t70dY9hiUNhlvWOWcuxPXXnoo/PrQnzy0jpoo7i2NFLuLP+gfHsXJarQIWzjNx9oJK6+8dlckFbjbIJiqKRSPQM0RkuNj4Ps0uFfH4Ml/nh6fh8DVfqHBbEX/rK0vxtY2roOo6VN24/lMTrkyqZjg+qQnHImO54Y6UnNaSj0i+RocKWNOJ1ym6jriqIapqiKgqIoqKcVlFSFEQkhUUWtKPqhsuT/3RODBiLecAeEUBXoEHz3GJ+DZL1ynyHE4p8ePqBbXmaw4OhBBWNPAcrM9Yt9yxkp+vsX0OQjJKLhEtxyXemI2CY+tvmS7p2TZlgn0969iV/But6fRCX9TBgu57dnfgnt0duGlFLT56xmJUeyVz4EC5T8Kdl6/Ahy5Yiv97qR3/+3wbBsPpgsXZRGZUJZOJd5oIlZyKCg5WeDHD9LuihO2fqPC48NurTsfKssCEQqKjQ2FsbR3AE20DePXECCiFa+5gD2H0uRNTxSYqymM7CGK6+OzR9tRhSxAEkcD5VVGCIOYrllNR5fwqhhHOJDTOOBUVgKjI1hE9zzs1t77aiTM/+CA+esNafPgta9OcpnRdx7P7unH7N5/CDz92AcRETIusavjLoROz1q7GoCUq6uwemWDN+UVTgyUqGizy6LMk7/zsP/HCvW8zR/F95hOX4qWdHWhtH8xzy4ip4PdJGZcrytSELYIgpBUj2zqG4XIdAwCoqg4uUehOPvKcvQh9xvomc3q+nQNYp6LeCMVhzAb+LPFnsXC6SxEACMxOqOp2wYI3i6goUmCiIg5AuduDKo8PFZIHZW43Sl1uBFwSfKILXlGEmxcg8jwEjgPPcRnFI0lxj5aMeNN1aImYt2TcW6XHa3vvTXWVc/q3ZiIkKxiJyxiKyRiKyxiMyuiLxtAfjaM3EsOJSAwnwjEoDhe96wDCioqwkt0Bg/28o4qKX+47nnVdYnZ44HAPHjjcg7PqSvHps5diTWXAPG8GPSI+ctEy3HbuIvz+lQ784rlW9I7NzbkgrrCiopltS6UqfsHBxk2K5FSUBrtHizyPNRXpg3xUTcerJ0ZMIVHLcObrCmL2scWfOfzcTTgPxdYfScdDovAI2l2oqcOWIAgigfOrogRBzFeY+DNyKiLyzzDTGe11u/LYkslhdwqgm3gAuPuh/bj7of244cLFuOJMo+DeemIMf32mFc2dozh7dTXeeM5Cc/2/HenFifHZG+Fcz8SfHW0j8UiSBY1l5nRXXyiPLZk7Bkai+LcfPIvvfnITOI5DRbkP3/7Stbjp1t/mu2nEFMgmKorHpyaOE12Zt3OkZQA/+Nl29PaffKDcWRua8OCv35uYm1/nANaZqWOcilGzgV/MHPWXKfoMsBcTlJRCudfnTV0dABBRnesy5eJ4NPqDWBgoQaMvgAZfADVeH1x85s9lPhBwiQi4RDT6M3+fgFFw7w5HcSwUQdtYGG1jEbSOhdEWCiOmOtcdJ5XVZQFz+uDA/LhOcSqvnBjB2x7ehQUBD7584QpsrCs1jzc+ScQHzl+CW85ehN+9fAw/2X4UA7N4XQ8A8RxadmVyfSOcjaKSqGg6yKqGZ48P4dHmPmxrG8DQPHCqLQREVhBOxyNiiig0yJEocFKceUlURBAEkYBERQRBOBVTVFRR5oXk4hGXC6ezmSg+hkatorDP6/zTJxsvQvfwdh56pg0PPdOWtvxnn7rILEQMRWV8e0frrLaDjT87eLhnVt+rkGBFRW3dY3lsydzy8PZWXH3eIrzhXEPYtnHDAkguAXE5u1sC4RxEkYfXm1lwKsen5pAgSe6sz4UmWRDNFGkzX2BFRS1jVPCfDXzZnIqiWURFzLSS4lTk9mYWoTgp/kzkeCwNlmJ5aQWWBcvQ5A9C5J0R5nBoeBjjimw4H7H/wCXiuwxRl8AZRwWeMwK3uET0Fo+UKC7OWmatjwzbN5jK6HOB49Dk96LJ78X5tRXmclXXcTwUwZHRcRweGcfh4RAOjYQwPoFbUD5ZW265a+zsGc1jS4gkHaEobn1sL2p8Eu66YDk2NVWYLhtukcft5y3GO85owm9fPoZfPteK/lkSF8k5FMdREb/wYL8zgaroabQMhW3zu3tG8eDBHjza3EtCIgfiYjL84nQ8IqaIbOuPpOMhUXgEyKmIIAgiI86vihIEMV/pZmdqKn04foIKQ0T+GGZimAJZCsdOIha3CjHUp3lyFtT4UcaIfL783FEMRGbPJaHMLdoyuvfsn72YtUKDjT87OM8cnETRKlKHxmOQHVpQJdIpCXqyPpdNaJENlyuzqEjTdIQneVzimRHy+jyKLAh6RJT7LaenA8PzR5g4lwRdWURFGZyKRI6zCU/UlP3Rk0VUFFXzW2AMiC6cWl6NteVVWF5SDkmYnAuRquuIqSpCsoxROY7ReBwjchxjcRkhRUFMVRBXNSi6BjURc5aE5ziIPAeR4xPiHYAHD4FPCn148AAE3ijPvNjbi8EpihZzTZkkocrtRaXbjUqPB5UeN8olN8okN4IuF3yiCEkQTKFSJgSOw6KgD4uCPlzRWG0ubx0LY9/gKPYNjmLv4Ci6w/mPM1xW4kON1zhG67qOvzaTKNxJ9IbjuGPLfpRJIr60aTkuW1gFIXE+9LtF3LFpKd539iL87pVj+PmzregL5XafssefcXAJ/LSFRiQqKjzYQT0uhwhPncT2jiF8asvraAh6sKW1H4cHwyd/EZE3WOc1t0D7MzE12HMYdUcShQhvv2+hjjmCIIgEJCoiCMKpxAH0AqgBgNoqP4mKiLwyOGIVyiSXAJfIQ1ac657FioqIk3P2qlpzelxW8fCR3ll9P9alSNd1dHQOz+r7FQrBgBtlpVaBedeh/jy2Zu45Y6VVTL3/wd2YR1qQgqckmN1dKBabmqjI7c7i3BKevLMCK1CbTzRWWJG5uq6jLUQFq9kgkEVUFA2nf95eJipN03WojFMRz/OQ3Jl/O/kQFXkEAesrarChshanlJSndibb0HUdEVVFbySC1tAoDg0PY//wEMYd5LA0FwzH4xiOx9F8Ev2exPNYUVKK5aWlWBQIos7rQ6kkQeL5rGKjJUEflgR9uG5RHQBgIBrHXkZkdHR0HDlMm5oUq8ssl6KIoqF5mI4xTmQ4ruAT215HwMXjGxetwiULK83fs1cSjFi0jQvxh53Hcc8zLegenVpMaTZSBUR+r4jh0PRckRTVLlAinA/Fn52chw7P7j02kTsizOAWdjAUQUwGD3P9r4M6NYjCI2WQ6cJ8tYMgCMJpkKiIIAgn04mEqKiOibIgiHwwOGIfyepxi5CV2bHOzwVsZBLHcZBE3jZ6lrBTHrScLQamULifLg2MqwnFW1ksaLRcinRdx+Fj80tsFfRZLmhPPns0jy0hpkppSWanIlmOQ1Wn9ht3ezKLikamUPQUmRHF88nsoK7M+uxSHXGI3MAB8IuZi0uR8fG0ZR5mX1RTos+8/uzX99Ep/m5mwpJgKc6vacRpFdVw8Zn/Nl3XMSbLaB4dwSv9fXilrw8KFUkmTVzT8NrwEF4bHrIt5wGsLa/AqeUVWBosQa3XC78oZhRRVHokXNpQhUsbqgAAYUXFgaEx7BkwREYHhscQy2H8VCZ8zL4fITdBxxOSNXz0iQOo9Ij48qaVuGgBE4vmEvC+cxbhXWcuwAO7j+OeZ1pxbGhmIrF4yv7n80xfVBRJGSBSFZDQP81tEXODwsafkaiIKHBCzDEoKJGoiJga9cyAm9m+NiOI2aB91HZNeCeA/wBAOzNBEPMeEhURBOFkOgFsAAynIoLIJ8Nj9mLu/2fvvuMbuc87j38GvYMk2Ov2yu3qq2ZbcnfOcUviJI5ziR3n4pTL5dLsi1Oc6iR3zt3ZKZecL47jyI4t27Jsq1q9r6TV9sK27J0gepmZ+wMkMFiAXHKXXADE8369VgIxAPjbJTiY+f2+8zxOu5lQ4dpZ2YhfNhHtddmYXqOrcDcim+Hqu+uxEG2sVBSJyALBoo62muztcq4Etl6Mi6gmWYyoKG6Xrej9ycTq97t2e/GA0nxoFaEiay7IUU3tz1oMoaLrGUqpJq4lAkVQvP2ZzRDSMbaGAXC6XJc/PCuaXr8WpABWxcTh+ibuaO6g1eUp+hhV1xmOhHl+Ypwfjo6Q1Krvc2m9acCJ2RlOzOa3O91bU8uN9Y1s9/tpcDiwFGkl5LKYuaGhhhsaMscOKU3j3FyYNxYqGZ2YCRFKrW3lqOFIbj9c67DisZoIp+R9Ue6m42n+06OZtmh/ePsO3tQZyIY+bBYTH76hkx873MEDJ0b5wtM9nJ+4ugrJl4eK3Parn3KdvyxA1FHrlFBRmTP+/B1VWjFSbBzjkdxFdV3+4hc8CLGUXYHcHP5UTD67ROUZKpx7+Vfgw0iwSAhR5SRUJIQoZ8OLN5rql150EOJ6iETT6LqeXfR3XsMk8fVwefszr9sqoaJlWA0Tv+nrUNbDGCqavsarojeSzvZcqGi+CsNW8WQalyNTreieu7bz9PN9JR6RWCnbEm0B0lfRwmmpUNFqKhVZL2s5VS1aa3OLHiGpArcu3Jalj3+KhYqshoDk5aFdxxKhoqSmrlvA12OxcrSpnaNNbXishWFATdcZjkR4bGSYp8ZH12UM4spOzc1yylDVqNnp5LbGJvbU1tHqdGE3mwuqGVlNJrrrfHTX+fjwwn298xGOz8zzxkI1o8n4tR1bvDoVJKGq2M1mTIrCp2/dzm8/de6aXlNcP3PJNL/y+Gk8VhN/cHQHb93UkA0XmU0K7z3QynsPtPLImXH+7dUhnrwwuarzgsurwrrs1iUeeWUpVSMYTuL3ZPZTWxs8vDYYvOrXE+tvdC73GdjkXrotrhCV4NG+aX5ibysAu+rd1DgszMWrq8WruHr7GnOB/Qsy3yUq0MtjQaIp1dj+8ceA75AJFwkhRNUq7xVRIUS1M4SKpFKRKC8VFypylvd4S83rzE36X4/yzMb2Z2Pj8+v+/SpFZ1tt9vbkbOHi9EY3MRtjU0vmvdjS5C3xaMRqLFVZSr+KyiYmU/H9dSy+8sotFouxUtGqh1CxOg3Hi5PxxDKPFFfLaS4eoNM0jVSi8N/cWGFGvez3weEsHqCLXUUY70panG7ubO7gSH1z0ao34VSKZ8bH+NZAn1QkKkNjsRjfHOjnmwP9ALgsFm5tbOJgXT2dHg+eJVqmbfG52eJz86ObWgAYjcYzlYwWQkYD4dUda8RUle8NTmRf7x2bG/i9Z86RlLdMRQmnNP7LE2dxWs7z6Vu28e6tjVgNrRrv3d3EvbubmIkk+e7JUR47N8Erl2aJJJcPq2o6qJqeDSo5Hdd2/jU2E82GinbIcWHZ653KlTFu80qoSFS2xwdm0HQdk6JgUhRubPXzSO90qYclKoDNrHCgyZf9+ulBed+IyjMTT/Ej97/C397bzbba7BzDzyGhIiFElZMVRiFEOZNKRaKs6DosrleUe6hI1XTSqoZlYYLc4yzemkdkNNXlqlvMxNa35QrkVyoaGJpb9+9XKYyVigbHr671RKW6pbuJTsOCUTUFQTYCZalQ0VX8IIstjMPqKg5ZDIuj1VSpaJPhqtiBsFwVux6WaumSThavAGM2vJ0LKhU5i7fTiK9RqEgBdvkD3NnSwU5/XcF2XdcZjkb4el9vQfstUd6i6TSPjQzz2EjmdNGCwg0NDdxQ38Bmrw+/zYapyL60xeWgxeXgbe2NAMwlU5wwhIzOByNXrJJ1X88IP9LVjFlRsJpN/NqRzfzFy1JZsBLF0hqfeuY8n3nuPP/1xq18aGczdkOlvzq3jY/c3MVHbu4irWr0TEW4MBGmdzpCNKkST6kk0ho6ufeMpuuYybz3fvSOTdy4uwGH1YzdZsZuNf4xYbGYMCkKFrMJs1nBYlKwWExYzCbsVjMdjbmg7NaG4m0aRfk4OZKrJNXktmNSMkEzISrVRCRJ88K8xaEmn4SKxIp0+Z3Z8wVd13mwb7LEIxLi6oxGEvz+cxf4l3cdXLzrzcB24ELpRiWEEKVV3iuiQohqN7R4oykglYpE6amanq1Gca1Xnl4PiaSKxZk5mfe6rr78fjUw/vsEE+tf1tsYKrrQI5Msizo7cqGiC4NXF7aq89l5+21dtDZkPjdeOT3BE8eGr/Cs0rJYTPzDp9+S3b+oqsb/+fJLJR6VWA1zkconsLahIn0VK1PGyklVlCliU0PuePHCfHUFE6+XpdqfJeLFK74o5N6LlxdzsdqKV3JIqNfWus5qMnFDfTN3NnfQ5Cw8h9B0nVOzs/xLz3km49IadiNIo/PC5AQvTE5k7+uuqeWmhiZ2+P0E7Pai++kam5U7mgPc0RwAIJZWOTUb4o2ZeY5Pz3N6LlRQwXIkGufp0Wnubq0H4KDhanxRmdIa/OmLPfz5iz184mAn79/RTLPbnvd5bDGb2NnkZecqKgZ94O6tazbGBql8U/YGZ/LDzH67hVlpFyUq2LnpSDZUdECqpYkVchvagutkArxCVKrXJubpnYuypSZ7sfvngXcBVTTLIoQQOeW/IiqEqGa5SkUBqVQkSk/TNCCzIFHulYoA4ok07oW2Xn63VCpajs+V+/eJpK5tMfNKbCaFRnduYeDkmfF1/X6VwmRSaG/NhYreuDC1cD8sdqJ5x21d3LinkVA0hcthxeey4nJaUVUNp93CgR31BPyO/FDG+yCZUvn2k7386ZeOMR8pXk2jlD7+3r15+5TP/NnDvPzaYAlHJNaKfhVzTdoSrZfc7pUvKBp/B6pltqvOY8PryAVET84Gl3m0uFpuS/H2Z4lY8VDRcu8/u6N4+7OrbT/ms9o42tTObY1tuK2FYeqEqvLs+Bhf6+uRFmdV4OTcLCfnZrNfd7k93NbUzK6aGpocTqwmU0GI02kxc0NDDTc0ZI5HUprGubkwx6fnOT4zz8mZecJplcl47ljCsURLQFF5NOALr1/iC69fosll41cOb+L29jrqndYlA7/Xg67rfO/EaMm+v1iZ4bk4uq5n3yvNbruEikRFOzcd5q6uTKXHZo/MJ4mVqZZzT1E9vvj6AJ+7e/fil+8A3go8VLoRCSFE6ZT/iqgQopplQ0U2m5k6v4OZoFxNLEonreosLuk6KiBUFAwnCdRkWos010kwbzkNNbkWLGORxLp+r2ZDlSJd1zl5dmxdv1+laG70YjNc1fZT79jJ3/zGXdisJtKqjqbp2G1Xt3Bns5r54D3b+cBbtjEdjPOZv3uRh164tFZDv2a3H2zJ3n7+5QG+/LVXSzgacTUSS1Q4s1hWXyUuFgsDjQX3B1axHzebjZWKqmNqt8WwH8+0tZJjxvVgXyJAkViy4k/u/Xd5nZil2p/F0qtrQ9rm8nBXSycH6xqxXFaNRtd1gskkDw5dyrbKEtVpIBJmoPdi9uuA3c7Rxma66+poc7lxmM0FwRGryUR3nY/uOh8/SabK1cX5CDv8uVZUwcT6t80V1994NMmnnjkPgMUEd7bXcXNLLbsDbhpddqymTPs7y2XvGZ/dkm29F4wlmYumSKY1UqpGPK2RTGsLbdNUVA3Smk5K1UirGklVJ5XWSKoasZRKLJkmmlR5pX+Ws+Oh6/5vIFYvpenYFo7BWr0OzkxHSjwiIa5eVCrMiKtgLmEIV4j18L2+ST6ws4WbW7IXQX4WeBjJ0AkhqlD5r4gKIapZEIgAboDmBreEikRJpQ2TKq4KaH82F8qFYxpqilcDEBDwOWg2VEMbCBavtrBWjK3PNE0nLlewAtDZXpP39R2H2rK3rZbVTUyFwgkGh+ewWc1s21KfvV9RFOprnPyv37yLuXCS4YkwoUiS0akI3/xhDy+dHqcUxSuMoba0TN5WpEi0eAUsZ5HWS1cSixVfgOpqr8VsVlDVK89dmc25YMUquqZVtJZaw+9RlQSpSuHyBfRFWrp4lT/jHu3ywIbNUbz6Vly98ueiAuytreeu5g62+moLtuu6zlAkwr/1XuRM8OraaYqNbTqR4DuDA3xncAAAh8nM0aYmDgbq6fR48VgsBe9Zk6LkBYoAbm6t5fsfuJHXxoM82DPJsyOziI0lrcHjl2Z4/NLMFR/76IduotWTOe/6/KMX+Kfn+td5dKKcRBJpbAsVcNulZZ2ocGnDibFJgiJihQxduKuqDbfY2P76lV7ue8/hxS9vAI4Cz5RuREIIURrlvyIqhKhmOjAE7IRMqOj0xenSjkhUtZRhsd9hL/9WB8FwLlRU562+UJHPZeNz/+kWjuxowGY1EY2nOdU3wz88cIYXzkwAcMf+Zv76l27LTpJFUio/XMGCwbVoNfwsYnG5un2R37ey92g6rdE7ME0sliIaSxGPp7BYzKiaxpnzEzz7Yj/PvtiPtpCk2NRZyy/93G28+227cTkzk/yKolDrtVNrmOx/35u3oaoa//Gzj/Hs69enxYTPbeN3PnqETa2+7H0zs9Hr8r3F2lrq52az2bFYrKRXUXklNF98Qdput7BvTwuvnxi54muYTcZQUXXM5rbW5sKhsSUCLuLaLXX1saoV/zdXNR0WDpkuX5AyL1H1aLlQmEUxcWNDM3e3dNLgKKzepeo6J2dm+PLF88wk17fyoNhY4prKY6MjPDaa2cdaULixoZEbGhrY7PHis9ny3sMJVc1W7uryOenyOXnv9mY0XWcymuTkVIiH+6d4qG+CpOSFq0bakOS1WS6vzyY2urloktqFUFG9S9pFicqmGj67pPqMWCkJoImN6ORUmBdGZrmlNXsxy+8C7yzhkIQQoiQkVCSEKHeDLISKWhpWf7W/EGsplcotmDkroP1ZKJpbxPa5V9+Cp5Id2h7gq793L1bDZL7bYeXuQ23cfagt2w7o8ivQ7zs9Sji5vovRxkpFc1J9LeuFVy5x+tw4e3Y2ARCcj3Pf/a/z+NM9HN7fRldHDSdOj3Hf/cdJplb+M+q/NMt//cyD/PYffo+7b9/Kp379LWzdFCj6WLPZxF//2u3MzCfY1u5nYDTEA0/38sQrwxxf41Dru2/fxF/92u15FWXiiTT/8OUX1/T7iOtjambpMJjT5SY0v/JKKXNz06RTKSzWwv32vXdt5+SZsStWtLIY9n16lZQqajFU5JtPSWBzvSz1blIovoCgG55R8IhVBN4cZgtHm9q4o6kdn62w+kM8neapsVG+OdBHshQl58SGk0bn+clxnp8cBzLt+/bV1fHJ3d2YTaYlWwGaFIUmt50mt523dNXzZ3fuJJhIc24mzFNDs3zn4hjTUqVyw5JQUXVLGI7PbGb5+Qshqk9epaLSDUOINfcvp4eNoaJ3AA8AX1r4f/HS1UIIscGU/4qoEKLaDS7eaGn0LPc4IdadMcjgrID2Z6rh0rLLwzMbmdth4cufekteoOhyxf49Hh+Y5i9f7FvPoQH5oaLJ6fC6f79KEZyP844P/SM1fie6rjMfimfXm59/eeCaX19VdR578iKPP3WRmw53cvhAG20tfvw+Bz/y9j3ZxwX8TgL+TBulTa0+fvnHDvLJDx3gY3/8OE8cGy762ts7/KiaTu/w/IrGEvA7+ItfOZoXKEok0/zHT36NE6fHruFvKUplPhRHTWuYi+x3XC7vqkJFuqYxMTFEa9vmgm21tS7uvG0Ljz91cdnXMBlmc6skU0SzoY3gdEJCRevFtMThhL7EsoHx/Vdw5fIKjk38Njt3Nndwa2MrDnP+sZeu68wmE3xnYICnxq9PhTlRvTTg+MwMkXQany1TgeSbPaMcmwhyqN7PwQYf22oKL4JRFIUah5WbW2u5ubWW37hxM7G0Rl8wyvMjs3zn4gQX56RK4UaRMoQaHdbyr2wr1lba0KLWLqEiUeHshvOalAS2xQrlV7WqkhNRURWeGJzh3EyYnXXZ9al3L/w5DXwEOFaqsQkhxPVS/iuiQohqlwsVSaUiUWIJQwUbh638P0JVw0qeealVwA3o937mSF4lqa+fGeOFkTk21zh5++Z6ttXl70vOToe578wYXz09mnd18Xpp9eSqaQyNBNf9+1WauWBsXV9f1+HFY5d48dil7H2//qnv8MIjv0x9XfHPGUVR+Owv3sLv/K/n2bOllhqPHVXX6Wj0cvvBFvweO7qu8zf3HWf3pjrqaxx8+osvcP5S8SDJ3/zGndgMC01PPd/LX/3vp1bU1kqUr4mpMC3NvoL7a2rrGR8bLPKMpQ30n6eldVPRAOTdR7fw6vHhZX9XLObqa39mDBWNx6QK3HrxFqmgBZBOFL84UzW8/y5vnbFU+zNN12lyunhTSxeHA01YTPkLs7quMxyN8JWeC5wLyueouL6CqWQ2VNThcfInL1/koYFJAHw2C/vrfRxq8HGw3seeOi/Wy4IFiqLgsprZW+9lb72Xn9/fSUrVGArHeXU8yPd6J3hejg8rVsJwUYdTQkVVJ5lXqah6zr/FxmQ3vIeTanWcT4hrZ7yIoEpOQ0WV0IFfeew0n7t7F/sb8uZ99gBPAAeA3hIMTQghrpvyXxEVQlQ7CRWJsmEMFTnt5T9JrFVpqOjtN3dmb99/bpzfefJ89uv/8fIAm/1O3DYzKVVnOBxf93Znl2sxVCrqHVjbllri6qTSGh/86Jf5n3/+Xrp3Nxd9THPAzf/9zD1LvoaiKPzqjx/Mfv3tv3oXv/TnT3Kmf4bRqSh1Pjtf+K27ObizIS/w8dVvvMZv/+H31+4vI0pmcHiuaKgoECj+nlpOLBpmZLiPtvYtBdssFjNvuXMb33jgxJLPN5mNlYqqYzbXGCoajqxvOLFamRQI2G1Ft0XDoaL3G1uRmZXcvs9sNhdt8eez2fkPndvY7q8r2KbrOufng/zzhfOMxqSyiyiNZ8fG+PGt2wC4samGD21v4WsXMpWy5pNpnhmZ4ZmRGSBTqWRPnYeDDX4O1vs4UO/DU+TCBKvZxGa/i81+F+/f0YKq60xEEhyfDPH93kkeG5hCakRUhrghVOKylf/5ohBCLMVuye3DUqp8ComVMV4LUB3eSCMQAAAgAElEQVRnoaKaDIXjfPi7r3NXRx3v2tLIO7c0Lm7yAH8OfLB0oxNCiPUnoSIhRLnLhoqaG6T9mSithKH9mb3SKhVVyZWSHpcFt6E13f87Wdiuqm+dK+FcibH92dnzkyUciTDqHZjhXT/+T3S0+fG47dhsZu68dQu/8cm7rur1rBYzf/+pNwOZgJ+iFG+7d6F36prGLcrHxd4pbjrSWXC/w+nC4/ETDq+u8kTPxVM0NLZhs9kLth0+0MZTz/UyOR0p+ty8SkVV0P9MUaC5JlcFrj8sgZP1ELDbl2x/Nj8zU/R+YwVA45XLDpcre1tRFOrtTlpcbtzWwtCSquu8Pj3Fly+cZz4tre1EaT08MsS7OjrxLlQr+vVDW+mfj/HSeGF1woSq8drkPK9NZtqjmhTY6ndzsN7HwQYfBxv8NLkK9/FmRaHF46DF4+DtmxvQdZ3peIpTUyEe6Z/i+32TxNKywFuO8kJF9vI/XxRryxjkLmj5KUSFsRkO+lJVcD4h1sbllUmF2Gh0Mq3Qnhic4eWxIJ+5bfvipvcD3cDJkg1OCCHWmZzhCiHKXTZU1FTvQlGkfKoonVg8nb3trIBJ4njCEIKylv9418LR7pZscCOpapyZCpd4RPnqHNa8VghvnJJ2V+VmcDgX/Dh+cpQ3To3yZ595J63NPlRVY2RsnuB8HIfDynwozoWeSX7sRw8u84pgWqZSWDQmC+QbxYW+aTRNL/rzbmhsXXWoKJ1K0ttzil27DxdsUxSFe9+0g3/999eKPtdiuLJYrYJFgHqvPe9q6gvB8tr3bxQNjuJVitR0mvD8fNFt2hLXKHu8XiwmE81ON01ON7YirdCSmsozY2N8ra8nr+KREKX2FyeO8weHb8CkKFhMCn962y5+8qHXGIsmln2epsOFuQgX5iJ8/WKmulGL274QMvJzsMHHVn9hdV5FUah32rirI8BdHQH+6PYdhFMqfXNRXhyb48GeCc7PSpiyHKQ1aX9VzYyhIllXF5XOZsldpCChIrFSee3PSjgOIa6Hr58b5af2tLG1xgWgAF8HjgByYC6E2JCqY4VRCFHJsqEim9VMfa2TyRlpaSFKI57IhYocFVDO3jheu820zCM3jpa6XOWDqWgStcxmMYytz3RdZ2ik+CKsKB9PPtfLbW//X9TWuIhEEnltEBd944GTfO4P3kVXRy3B+Rg/eOwct9zQRVdHbd7jNE3nK19/FZvNzG03bWJ8IsQjP7xwvf4qYp0lEmkGBmfY3BUo2NbSuon+/nPoqwxGjA7309m5HZfbW7Cte3czjQ0eJiYLAzTGSkXlth9cD22Gfb+u60wnkyUczcZVYyseKgrNzS2Z+jdjXFjIPMZmMrOno4sj9c1FKzmEkkkeGRniu4OX1mDUQqy94WiE/3PuDB/buRtFUfDbrfz2Ddv4tadOrfq1RiMJRiOTfH8gU73Sb7NwsMHP4YVKRrtqPQVtjBVFwWuzsL/Rx/5GHx/b30la0xiPJDk1HeKpwRke7p8knJIw3nVnXEytgs9fkc/4MzchqSJR2XyG6tzR1PVtGS8ql/GQRZcPQrHB6cBfvtzLF+/tXrxrF/DrwGdLNighhFhHEioSQpS7EBAE/AAtDR4JFYmSMVYqctjLP1QUNYaKrOU/3rVWjtMXxtZnySLhFFGedB1mlqkA8OKxS9z1ni/SUO9heiaCupDicDgs1Pic3HpTF7V+J8+/PMCZ8xPXa9iiBI6fHC0aKnI4XbS0dDIy3L+q19N1nd6e03Tvv7no9jffvpV/u/94wf1mS242V1U3/qJyuyFUlJCKNuvGv0Tr12g4tORzHIYKRFaTmRanB5fVys72jvwrmXWdaDrNS5MTfLlHwpai/L0wOcF2v583tbQBcHtrHTc31fBikTZoqxFMpnlyeJonh6cBcFnM7K/3cqjBz6EGP90BLzZz4cUCFpOJNq+DNq+Dt25q4I9u30E8rTEYinN8cp7HBqZ4ZmgW2UOuL2l/Vd2ShmMuq1SqEhXOZ6jOPW+YWxJCCJHz1NAM/3xqiI/sbV+863eAbwKnSzcqIYRYHxIqEkJUgkEWQ0WNbt44N1ni4YhqZQwV2ZdYWCsnxkpFxtLVG5lxIvfyq7rLQas3FyoKR5ZvkSEqi65TUDEmHk8zFg9x/3elpXq1eOP0KO9+2+689mOLOjftZHRkYFVXbJpMClOTw0TCc7g9NQXbD+5r5flXLhGcj2OzmbFZzVitZvbuas4+phranxkrFUXkSup147dai94fDRWGimxmE20uB57LnuNa+DoQyITvdF1nNpngQjBITFV5Y3ZmjUctxPr58sUL3NLQhNOSOS/43O17eHRwkpl4CotJ4bnRWV66xpBRNK3ywtgcL4xlXsdmUthZ62F/vY99AS/76n00uewFz1MUBafVzI46Nzvq3HxwZ0vm9y2R4vxMhGeGZ/luzwQTUanstpaMn7kWCZVUHeMhniKVikSF8xrmvMJJCRUJIcRSvvD6AO/e2khdpl24C/hXMm3QZHJCCLGhlP+KqBBCZEJF3QAtDe4SD0VUs3A0lb1dCe3PYoZQkbXIAvdGFDEsjLjL8O/c5nFkb08vU/lGCFGZ4vE0r7w2xC03dhVsc7k8tLVvYWiw54qvYzIp7N7eiGehutnmtjT33nsITdPRdB0FMC9UqviJ9x9a9rXUKig732EIFc0kZIF8vbitxacPYpFI9rbHYqbF5cRuNqEsUaVDURScLhfDkQg9ofm8yh4zCQncisrypQvn+MSuPSiKgstq5ke25EKdP7WrnVcngnzu1R4uzEWWeZWVS2o6J6ZDnJjOhfmaXDb2BTIho70BL7tqPTiKHAcrikKdw8YtrTZuaa3lv9ywmYSqMRSK89rEPD/om+D5keCajLNapQyhImuRilJiYzMGybSyrJsrxMrZDfuwqLTTFCtk3PNJtFJUi1BS5dNPn+cLuTZoB4APAV8t3aiEEGLtSahICFEJBhdvNDd4SjkOUeWiMUOoqALanxkrK1mrpFLRqf7Z7G2v3YLfbiFYRqW6je3PRseXbhcjhKhcTz7Xy01HOjEVqZa2eesexseHSCVzwQll4T/G7I/Xbc8GigD6+vqYnZ2ltrYW0yqnZ6fmN35Io8sQOh+LxUs4ko1LAVzm4sc+yXicGruVJocDq0lZMkwEkNI0kjYrz04WbwUZSkkoTFSWl6cmabs0wHs6u4q+9w83+vmXtx7iK+eGeLB/gkuhWF7wZC2MR5OMR6d4dHAKALOisNXvonshZLS3zssWv6ugHZeiKDgsZrbVutlWm6lmpOk607EUF2bDPDcyx4M9E4xLNaMVMwZ5LWVYNVWsL7ehskuojM5BhbgaxhZ+ySpopyzWSF6qSD4HRfV4cmiGB3smeNfWxsW7fgkJFQkhNhgJFQkhKsHQ4o1mqVQkSihiCBVVQvuzKihOUSB2WVluh8VEsIzW01sM7c8GBmeXeaQQolIF5+McOz7EjYc6CrZZrTa2buvm7OljALhdNrZtDmC3W0gk0sQSaeLxFKpauAM/duwY99xzzxW//2J7NR2YjST5029t/PZ7mwyh897Q2lQDEfn8NmvBuoACbPd5CNktzLtdBc9JaRpWUy7UHE4mGY5FqWtoLHjsolAqteQ2IcrVty718+TYCO/s6GS7z4/VZMZvs+FaaItmNil8ZHcHH9ndQTCR4jefPcOxifWrCKTqOufnIpyfi/DNnjEgU8Fzb8DLvnov+wM+9tV78dkKWxqaFIUGl40GVx23tdXxX27YTErTGQnHOTEZ4oeD0zw+MEVS1peLSue1P6uOizpEjtNQzTiWll8SUdmMwUgJFYmVqsJpSCGy/vXsiDFUdDPgBGKlG5EQQqyt8l8RFUIIQ6UiaX8mSilsuEq3EtqfqYZJ7Wq5QOhHb9+cvR1MpBiPlNeV1a2G9mcXeqZKOBIhxHp67MmLHOxuxWot/Kxoae1i8NIFdDXG7h2N2TZmDocVh8MKfmfBcxIple8+9SrTpgBNTS3oZBYu06qGquqkNI1H3hjj4RMjaFU252+zmGipyf2bnZ6bL+FoNq5GRy4Ua1EU9tT4aHU7UXSdp0L5lfcSqspMIsF8KsU2rxfzQrAoomaCvw5X4XscIK1pVdGuT2xMs8kkX+m5mHffO9s7eW/XJiyGcJ3fbuXj3Z38wuMnruv4ImmVl8bneGl8DsiEAjf5XOyv97K/3se+gI8t/sJwoKIo2MwKm/wuNvldvGdbE7quE06p9AejHBsL8sjAFK9NSAVOyOzHFkmloupj/Ilr8nkmKpwxGJ4scsGDEMVEUmr2tqVaJiKFAGrsFr54T7fxLgtQ/osHQgixChIqEkJUAgkVibIQCucCKk57+X+EJgxVe8xVMqn9E/dsz94+NlpeC8s2c+bK70Wnzo6VcDRCiPU0H4rz+FMXedtbdhZsUxSFrVv3oiX6soGiK7GaFcLxNM89+xw33v12TKbC5920LcAz5yYIx6ur3UZXvTvbak7XdU7OrV/1j2rW7nbiNJvprvXR4LBn2zzNzs2hqpnFg2gqxUwySXih2pDNZMoGijIhhMz9Lk/xdsbhtFQpEhvL94Yu8dTYCJ/YtZc9tbXZ+z3W0p9H6EDffJS++Sjf7h0HwGezsC/gpTvgW2id5ilazUhRFLw2C/safOxr8PHRfR1ous5sPEXPXJSXRuf4ft8kfcHquzA7v1JRdZx/iRxpfyc2EuNbOFVtVy2IqzY8n2tFbVLAZTERlcptogrc21WPL3+t4FkgXKLhCCHEuij9TIYQQlzZpcUbjQEXZpOSV4FFiOslGMr10XJUQKgonsxdIWQusgC90dgsJppqc9UP7jszWsLRFGrx5Ko86LrOqXPjJRyNEGK9PfNiH0cOtlMfKAxE7927g/npBFNTmYplM+EEsWQal92Cw2rGZjZhMinZ4EZ0YX8eCQUZ6j1H57bdBa9ps5h4S3cz335lqGDbRtZlCJyndR2Zs157O/0ePrZzM7U2a/Y9uWhkZIRQMslMMkksnR9os5tzF2bqZH4+AF6/v+j3CUvrM7EBhdNp/vLkcT6xazc3NTQBMBUrr0qai+aTaZ4dneXZ0UyLXgXo9DoXAkZeugNedtS48yovLTIpCgGnjYDTxk0tNXzy8CbSms5ULMn5mTAvjMzxUP8ko2VWRXStpYyhoio4/xJLk0JFotIZj/jk/SxWajScQNV0zAvnsvsbvbwwIhd9iI3PaytYJ/ijZR7+DuAXgADw34FvrtOwhBBiTZX/iqgQQkB2dcxsNtFY72J0IlLK8YgqNR/OhYqsFhMWs0K6jMtAxxK5xb1qmNP+wF1bsoudSVXjueG5Eo8on7H1marpxKusmogQ1UZVdR56/Bw/+cHDBdtsVjOHDx/m4YcfRtd1esZDRSfrHTYzJgWiiVxItO/8KZo7tmCz2wsef+OWAM+dn2RyPlGwbaPqqs+FiiIp2a+updsbA/z8zk00Ox0FYSJV1xmLRnns9GmGo9Giz3cYQkWq4Qp3r7+m6OPnkhs7bCCqm8eSq1YZWthX1TtsfGJfFw1OG/f3jPHE8HSphleUDgyEYgyEYjzYPwGA3WxiZ42b7oWKRnsCHto9xVsaWkwKzW47zW47d3YE+M2bt5JUNcYiCU5Mhnjs0hSPD0yR3EBh0JQq7c+qmWKIYch1cKLSGY/9pD2tWKmUpjMWSdDmzcx/7Q1IqEhUh9cnC6rlfwf4d+DrwGPAYq/gDyzct2gP8C1gAx0RCyE2KgkVCSEqQQyYBBoAWhs9EioSJTETzF+kdTqshMr4atu4YRHaVAW9zN97x6bs7VdGg8TKrFxFq6FSUSwm1RiEqAanzo4zPBKkrTW/MsvEVITbbtpDXV0dMzMztNW6GJopDGYYK84tUlMpBi6cYnt3YVgJBe7d18K/Ptu/Vn+FstdhqAQ1m5R961p4X1crP76lA3+RtkcpVWUoGmUoEiGeTDI4OFjkFTJcltx0Q0LLvJfNZgveWgkVieqT1HL781p75nfrz2/fzYF6HwBHW+v4o5fOZ1uRlauEqvHGdIg3pkPACAB+m4XddR72BrzsrfOyp85LvdNW9Pk2s4lOn5NOn5N3bW1E13VCSZWB+SivjAV5uH+K45Ohos+tBHmVilbY4lRsHFVwyi2qiPH9LKEisRqXgvFsqGh7bWHVXiE2olfH53licJq7OwKLd9mADy/8UYHXgdeAn7/sqXVAPTBxnYYqhBBXTUJFQohKMchCqKilQU5IRGnMBuN5X7vsljIPFVVPxQaPy8Kh7Q3Zr58cnC3haIozhoqC87ESjkQIcT09+uQFfuYnbsi7L5FMMzQ6z5EjR3jkkUdo8DmKhoqWMtR3gbbN23G5vQXb9rT7aatzMbyK16tkHQFX9vZYLL7MI8VyLCb42I7NvL29Oa/C0KJYOs1gJMJINIq2sLA0OTqKmi5+rGExmXAaQkXzC4Gv2oZ6TEuUT5xJyM9PbFyn5mY5GKgHYH+9jyaXPRsoWvQL3V15oaLNPhcNThsnpufLLixvFEymeWFsjhfGclVCG5029tRl2qbtqfOwq9aD314YVFQUBZ/dwr4GH/safPzsvg5UXWcmluT8TITnR+d4sGeC8Wj5nnMZ5bc/k4RJtdEMwQvJlIlKZzJU3pJMkViNS8EYt7ZnLiLo8hWvZijERvSff3iaD+9u46N722hw5VWWNgNHFv4UIyfCQoiKIKEiIUSlGAQOQ6ZSkRClEI2n0XU9WwbaYS9cdCsnxgoXiqJgMZlIa+W7IHEt7vvMWzEtTNzH0yr3nyu/q7yN7c8mpsIlHIkQ4no6d3GSkdEgrS351You9k5xz13baWtrY2hoCI/DQniFbRF1TaP39HG6b7y96PZ7upv5f0/1XvPYK4GxUtGlsAQ2V8tntfAre7Zxa2MdliJhn/5QiHAqxUS8cJ5zYnh4ydf1WnPhAU3XCaUzoaJAY1PRxydUVSoViQ3txYlxfnLrdgCcFjPdgcJQaKPLjstiJppW+c8HN/OTu9oBmEuk+K1nz3BsonLah0zEkkwMT+e1dGvzOOgOeNkX8LIv4GNnrbvofsesKDS47DS47Bxtr+M3btxCUtUYjSQ4NRXiiUvTPNo/TbwMz2uMoZJqqBQr8mmGUJmxFZoQlUgqFV0dj9VErcOKx5ZZdktpOpFUmtl4mngZB4TX0qX53HlDo6uwZbcQG1VS1fnSySH+5dQwb+4McO+meo621RYN1hsEgYLeaUIIUY4kVCSEqBR9izfamwsnYIUoBbdz2ZOCkotdVqnI57YwE9pYC3YNNQ6+8t/ewlZDa6Gvnh5lJl5+LXBavbnJlCHpKS9EVfnhMz385Afz25VNTIaZD8U5evQo//7v/05XvZvBmSiqqqPqOomUuuxVwRMjg4TmZvDW1BVs297ipbXWycjsxg/ZtNbmrn7tCUlgc6UsJvjN7p3c0VxfdOH7jZkZHhwcZDqR4J3t7UVfY3ZycsnX9xqqFMUN1Yya2tuKPn48tvHfq6K6RdP5Fyf80v5NRR/3d2/ex/f7J7KBIoAau5X/fsdePvb4cc7NVm4b8OFwnOFwnIcGMvsOu9nErloPe+s8dAd87Al4aPcUr2hgM5vo8jnp8jl555ZM27RwSqV3LspLo3M80DPBxbnSV+hLa8ZKNRIqqWaSKROVzvgW1iRThMdq4rb2Wg42e9kVcNPqc1Brt+KxmbFbTFhMmSihsswvv67r6GQ+K2JpjVAizWw8xUQkyXAozkAwTs9MlHPTYYbDlTt3N2gIFfltsvwoqk9a13l4YIqHB6YwKbCj1s3egJfuBi8f2tly+cPPlmKMQghxNeRTXQhRKXKhohYJFYnSUTUdizkzSeDz2Eo8muUlkvmhohqPfcOEinwuG3/xi7fwlsNt2QpFACcmQvzli/2lG9gyjO3Pevqml3mkEGKjOXV2nNGxeVqac61udDL7gkP729i3bx/Hjx9nlyEgqes6PeMhZpaZUO45c5yDt76p6LY3723mX57pK7pto/A4LLjsuVPa3lDlLrZfT29ta+STu7dhv6w3S1rTeGFyku8NDnIpkvm33F9bW/Q1kokEoWDxgKxJUfJany1WIHJ7vPjrCkNwAGOx0ocBhFhPGpmKXI6F341Ob/HwzO46L7vrCs93XVYzn7+zm5966DWm4hvjeD6hahyfmuf41DwwAkCt3cqehZDR3oCHvXXeJdumeW0WDjT6ONDo42MHOklrGuORJCenQjwxOM3D/VPXvW1cNJ2rFGuzSP+ramMME2hS2UVUuGp+P9c7LbxvVzNHO2rYEXDT4LJhNSnLBoZWQlEywSObWcFmNuG3W2j3OYo+VtczF5rE0xqhpMpsLMlkNMVIKMGl+Ri9szHOz0Tom41RbvWPhg2hIrt8Fooqp+lwdibC2ZkI37gwRpfPyc0tNcaHTAOfBc4AXynJIIUQYoUkVCSEqBTZHh4dUqlIlFAqrWFZWISr8ZR3Gd+Eof0ZgNtZ+R/7zXVOPvvzN3HngdaCq39fH5/nFx86TUIttymVDGP7szPnJ0o4EiFEKXz7+6f4xM/emndf78AM+/e2cOjQIc6dO0fc0GJKURSaa5zLhopmJsYIzkzir2so2LarzcfmBjd9kxs3aFNvqACn6zqjEal2sxyLCf7syD66a315iyIJVeXx0VF+MDTEdCKR95yAo/hCx+zU1JLfx2e1Zl9fN7Q+a+4oXvEI4FJEqkyJje8b/b18eOv2vN+/cCrFX554nU/u2Ud9kd+3oUiYNpcbRVGod9r4bzdt51efOnU9h31dzSZSPDs6y7Ojs9n7OjwO9ga87K3z0h3wsrPWg81cuEhpMZlo8zpo8zp42+YG/uQOnUhK5exMmMcHpvnmhXHmkytrM3q1IobzL1lIrT7GvIFUdhEbyUbPFLV4bPz0vlbu6qpja60Lp8V0zQGia6UoChZFwWMz4bFZaFli/lHXdTQd4mmNSCrNXDzNVDTJWDjJYChO32yU8zNRzk+HSV6nqbKhUO58wqQo1NgszK3z568QleL8TPjyUNE7F/5AZv3r+es+KCGEWKHKX10UQlSLbKiotcmDyaTk9asX4npRDYEVq7W8J4rTqo6qapgXJt09zvKurHQlH337Tn73pw9hNuX/u0dSKv94fIgvvnqJVJnuF+oc1ryFhTdOjZZwNEKIUrg0NMex14c4cjAXrIgn0rzy+hDdu5o4cOAQzz//LCbDPk5dwT6t//xpDtxyV9Ft7zjUxhcePn/tgy9TeaEiQKaql9bmcvD5Ww7gteZX/HhidJR/7+/PVhO6XMBefAEjODOz5PeqMTwnoeWOm2obCsNvAFPxONG0/PTExvfY6Agj0Sjv6OjEbjJzYX6Ob/X3k0bnN19+gbe2tvOezi6cFgtJTePpsVG+2nuRj+/czS2NTQAcba3jjtY6nh5Z+ndwoxkMxxkMx/nBQts0m0lhZ62H/fU+9gW87Kv30eQq3FcpioLHZuGG5hpuaK7hv960hVAyzenpMI/0T/Gti+NrXskomMy1YLZKqKjqmKq4sovYeIyRGnUDvp9vb6/hZw60cnNbDX67ZUUhopSmMRKNMxyJMxaNMxVPMptMMZNIMZdMEU6liasacVUlqero6JgVBZvJhN1swmUx47aY8dus1NltBBxW6u026hw2AnYbAYeNOrsVq2nlnx+KomBWwG0z47aZaXTb2RFwFzxuMXyUVDUiKZX5RJrJaJLxcJKhUIy+uRjnp6Ocm44QvcbPxolIAlXTsxcC7qp388JI8QqnQlSbv3l1gNvb69jsdxXbfDcSKhJClDEJFQkhKkX/4g2b1UxzvZuRCbmiWVx/xjCbzWIu4UhWJpFScS2GihyV+7H/R//xRn7inm15Ez3xtMpXT4/yxVcHmYmnlnl26bVeXk1jPFTC0QghSuUHj51jz84mnM5csONi3zQX+6bRNI1T54NsanfiXahslkxdeUJ3enyE4OwU/tr6gm2ttU4Obqrl9f7ZIs+sfI3+XFWPlFaeVerKwY31Nfz+oT1YDAsU47EYf3f2LOfn55d9rsdS/Nhhfrb4e8puNuMw546PJmO56lF1S4SKhqMbt5qWEJc7E5zjTHCu6LaHR4Z4eGSo4P6/P3eG7to6PAuhwLd2NlRVqOhySU3nxHSIE9O54+kml419AR/7633sDXjZXaSakaIo+OxWbmmt5ZbWWj596zbmEmlOTYV4sHeCB3snuNaM0Vw8F5C0mEpb5UJcf8afeJle6yLEihkzNhslU/SubfV8/FAHuxvcOK4wnxdOpTk9G+J8MMyF+Qh9oShDkfiqA1YpdOKqBiucslIAn9VCwJEJGQXsNgJ2a/Z2JoCU+dp4zH3F110IHzlNZpxWM/UuG1tqi4Ya0HSdpKoRTakEE2mmoinGIwkG5+P0z8U4Px3h3HSE8BLnqqoO07EUje7MhY2dXhcvIKEiISDTKvfHHniNH9/Vwvt3tNDly2uJ/H7gz8hcMyWEEGWnclcXhRDVJgqMAc0A7S1eCRWJklDV3HF9uVcqAognVVyOzAKE22W9wqPL059+/GY+9Kat2a+TqsY/Hh/iSyeGmY6Vd5hoUZuh9dnlbemEENUjEk3y+NMXeddbdxdsM5lMbN3WjVkbyN4XS62sesvFU69z5PZ7im67d18Lp4eCJNe4GkM52FTvyd4Op2TfWsz7ulr5+M7NeaHc58bH+acLF4iry/+buczmvKoLRtFQ8XCsMYSkahpRNfMednu82J3Oos+ZjEvbOiGu5HxwjsP1mWBes7u8WzCXwng0yXh0ikcHM60ZrSaFHTUejjT6OdLo51CDH5c1f/FVURRqHVZub6/j9vY6/viOnYxGEjw/PMu/nhnh7MzqA4/T8VzVN5Oi4LCYiG/Az19RnPGzVt8oKQxRtcyG93Mlh/ddFhO/dXQzH9zdjMe29FJYMJni1akgx2eCvDE9T18oSin+1joQTFpBhhQAACAASURBVKUJptL0hqLLPtZtMWcrHAXs1ryKRwG7NXvbY13dEmDm88uMw2Kmzmljc03xx+XCRxrziTTTsSRj4QTDoUQ2UATQ6KrsqulCrLVISuUfTwzxjyeG2F7r4lvvvWFx0xHgg8DXSjc6IYRYmoSKhBCVpJeFUFFni5eXjkv7IHH9GVvRVEJJ+6QhwLIYLqokdx1s4YN3b8l+PRVN8rHvn+TEZGWFCo2VisLhxDKPFEJsdC+8MsBtN3ZRW+TK0KamVhymJJOTmRYvkcTKgjLB6Ukmhi/R2NZZsM3vsvLeGzv42vMDRZ5Z2doDuX/D6YTsWy/3q3u28o725rxFzvt6e3lgcHBFz3cuUaUIIBYpvthufI4xtOSrrS36eB2YiEmoSIgr2VNbl709MC+/M1eS0nROzYQ4NRPin88OYVYU9tZ5uKGphhuaatgf8BZUqTApCm0eBx/Y2cIHdrYQT6ucmgpz/4UxvnVhfEWLy3OXVU/tDLg4P15Z5y3i6hmLU0mkSFQ6Y648XYGlt7obPPzeHVu5sdWfbcN1uZ75CM+Pz/DCxCynZkMlCRFdi0haJZKOcSmy/HGB3WTKBo3qHYZ2awst2BbDR37b6uYM88NHVjbVFL+A4BcPdnFPVz2T0SSTsSRTsSQT0UTm64X7JqPJTEUnIarMhdkozw7PcLQte6z/JTIdO14q1ZiEEGIpEioSQlSSPuA2gPZmb4mHIqqVajjJrYj2Z4ZQkdte/uO93Od/+Wh2MXQqmuTHv32c/mDlLaS0enKhoulZafMiRDVTVZ0fPH6On3j/oYJtTqeVmw7ezHe/+10AoomVVSoC6DlznPqWdkymwsDr/s4aesZCHOvbWO1yOgyhorFYvIQjKT9/eqSbw/W5y4qTqsoXz57l5ampFb+Gc4mWCpqmkUomi24ztmGIpnPvX5fHXfTxoVSStFRzEGJZb21tz/vdur9nrISjqUyqrvPGdIg3pkP80+lBbCaF7oCPG5r83NhUw76Ar6BdmcNi5kiznyPNfv7w9h0MzMd4tH+KL50aYjZe/PM5mtZQNT27gN3gsUuoqIoYQ7yrbZEkRDmrpLfzxw+183OH2ml22/J+Jxedng3x6MgkL07MMhSpjvOHhKYxEo0zEl3+72szKdTZDdWOHFbq7YY2bAst2WpWGT4C2F7rZntt8fOBRfOJNJOxBBPRJBPRJJPRzO2pWJKpWIqpWJLpWFIq1IoN5++PDxpDRU7gh8AB4GLJBiWEEEVIqEgIUUl6F290tEioSJRG2hAqqoRKRQnDybbbWVklh7/5R2/FayiT/OmnLlRkoAigxRAqGhsv3jJGCFE9Tpwe445b5mhvy68l73LaaG1tpbm5mdHR0bzqeFcSi4QZ6b9I+5YdRbe//WArp4aCxDfQJGxbXS5UNHCF9gDVwgL879sOscmbm7QPJpP89cmT9CzRsmwp9iVCRcklqkKZFAWLIdQWSecqdizV+iycqow2pkKU0js7clXoXhib5dSMHEteq6Sm8+pkkFcng/z9yUu4rWZubKzh1pZabmmuzWtdDJn922a/i48d6OTn93cwE0/x3PAs/+/UEKen8y8YiKXVbIudWmn5UlWMubQKLOwixNKKF/opG11+B//tjq3c3VWHzVw4T5dUNR4bmeSb/aOcD8pFXktJajpjsQRjseUrwFqz4SNrNnBUf1nwaJtv+QBRMT67BZ/dwtaa5Z8bT6vZkNHin+nLvl68LyHVj0QFeGU8yOeP9fGrRzYv3uUCPgT8SelGJYQQhSRUJISoJNlQUWerr5TjEFXMGCqyWcu/8k8qbaysVOYzQQa//7M3cGBbffbrR/umeLR/uoQjujbGhYn+S7MlHIkQolw89Ph5fu6nb8q7z72w+Hj48GEeWKhWtBo9Z9+grqkFl7swfO20mblnXzPffXX46gZchhp8uX3rlcr+VwOXxcQ/HD1CvSMXZB2NRvmLEyeYjK/+Suyl2p8ll3gtqyFQpOs6CS13DGJ3OIo9Ja9FmhCi0KG6eny2XDDly2eHSjiajSuSUnlieJonhjPnG11eJ7e31nFnWx0H6v15VYwURSHgtPGebU28Z1sT0ZTKG5Pz3Hd2lIf6p0gazhcd1vK/CEWsHWNVFL2SSrsIUYQxGGcvEtQpBz/d3cIvHOmgw+coWpVoLBrn2wNjPDg4TjC58gqwYnkpTWc8lmB8mfDR52/t5mDAD8CF4DzHZ4I0OuzUO+z4bVbcVgtOsxmryYQCRX9+S3FYzLR7zbR7i59fGIWS6WzIaDKaqXS02G5tKpZiMpZpwxZMpKVtpSipv39j0BgqAvhjMtWKXge+AARLMS4hhDCSUJEQopJkQ0XS/kyUSjJpWCCzVVqoqPzHC/C2mzr4qXu3Z78+MxXmd5+8UMIRXbtWb26B93zvylvPCCE2rp7+aXr6pti6ORegdLkypeTb29upb2iC3tW1K1NTKU6+/AxHbr8Xc5FAyM3b6nnqzATzscqvDmO3mnDbc3/HkWh1h4raXA7+5y0HcVtz/yYX5uf5qxMnCKevbhHFsUSlosQSoSKLcTH1sm02u51iJFQkxPJ+dsfO7O0LcxFeHJsr4Wiqx0AoxsC5Yb5ybhifzcKtLbXc2VrHbS11eG35n68uq5lbWmu5pbWWtKbnBZAsZboQL9aHVCoSG0na8CZ2ldEFdXVOK79yQycf3teCo8gcl6brvDQ5y7f7x3hhYhapU1Maxk+/3lCEr/T0L/lYm8lEu9tJp8dNm8tJo8NBwGGnxmbFY7XguMrwEYDXZsFrs7DZ71r2cSlNYyqWYjq6EDqKJZm67PZiOCklO3ixToKJFH57XnvBDxn+3I0Ei4QQJSahIiFEJcmGiuprnbgcFqJxudJEXF+JZG7xy2Evn4mVpeRXVir/Se2uJg+f/+Wj2YmCYCLFJx46xUy8chfA7WYTAUPruVNnxko4GiFEOXn86Z68UJFqCIIeve1WHnrxzKpfMxyco/fsCbZ3HyrYpiiZYNEjJ0avbsBlpM6dH1IZruJKRUcCNfzh4T15rcden57mb06fJqld/VKKc4lQUWqJ9meWZSo02B3F259JqEiIpf1o1yY81tzCwt+e6C/dYKrYfDLNQwOTPDQwiVlRONTg4862AHe21dHuyd+3GQNFAJ/9D93ctiXAPz7bx/EhWQfa6BRDjyhNKhWJChdPq/gWAvw19tIuIflsZu7ZEuA92xu5s7MWa5HA5kwiyfcGJ3hgYOyK7bvE+vPZcscvodTyc/dJTaM3FKE3tHxrOhPQ4nLS7nbS6nLR6HQQsNuosdnw2ay4zGbsZjMWk4JpleEjq8lEi9tOi7v4hRBGM/EkE5EkY9EEE9Ek45EEY5Hc7fFogvAGajkurp8PfOdV/u7efWypKQjBHQT+B/Cz139UQgiRI6EiIUQlGQGSgA2go8XHub7VXcEvxLWKG0omO0s8sbISqZShslIZXV1WjMNm4v4/fjtWS2aCSNV0/vOjZxkOVfaEUKsnNymh6zqnzkmoSAiR0Tcww8DgLF0dtQCMTYSz21pbmunYtJnB/r5Vv+5Q33naNm3F5SlsF3vTtgA/PDWWd/VxJar15MKauq4Tu4bwTCV7b2crn9i1Oe+q3SdHR/mnCxdQr3FB077aSkWGUNPlPw2bY6lKRXKBgBDFeCwW3tXRlf36lfE5nhyWc99SU3WdVyaCvDIR5K9f62WLz8Vd7QHubK1jX33hZ67FbOJHDrbxIwfbiKdU3hia4+vHhvjGa0NU6cfWhmZcw67soywhIJRUaXRnbtc6rcs/eB1sr3NxZ2ctb94U4JY2f9EgEcDr00Hu7x/lmbEZ0hLmKxuNztyx/6VweJlHrpwGDEdjDEdjwPLHRA6TiXa3iza3kxaXkwaHnYDdTo3NhtdqwWExYzeZMCnKqqsf1Tls1Dls7Ap4lnxMJJVmPJJkfCF4lAkdJRZCR0kmoklm4kmpaifyjIQTvO/bx7ittZYtNS5uba3laFvt4uaPAl8CnizV+IQQovxXQ4UQIkcD+oCdAB0tXgkViesunjBWKir/j9GYIQTlcpT3eO/7/bfid+cWif/7y/08NThbwhGtDWPrM1XV81roCSHEIz88z89/5GbgssUoXadrxz6GBwfQ1NXtN3RNY7D3PDv331CwzWkzs7vNz4nBym6hU2/ct1bpAsJv7dvBm1oa8ibC7+vt5YHBwTV5/aUqFSWXqlRkCBWpev57dqn2ZwmpVCREUR/YtDV7lX1K1fizYxdLPCJRTO98lN7TUf7v6UECDiu3tdTxmZt3FH2sw2rmps0Bbtoc4M/ft5+BmQjfPznG3z/dw1xUApYbTZUemogNJGyYS/LZ1ncuyazArnoPR1p83NTq55Y2P40rqBgD8I2+UZ4am17X8YnVaXDYcBla050Jzl/3McQ1jYuhMBdDVw401TtsdLndtLmdNDmc1Dvt1C5WP7KYsZvMWE2rCx+5rRa21FiKVZzJUjWdmXiSqVgq02bN0GJtYiGMNBFNMhlNoMpnStVIaTpPDs3w5NAM/3xqiDc+eqdx8xPAnwCfKsnghBBVr7xXF4UQolAPhlCRENdbzNCGy2Er78o/AAlDCKqcKyv9xSduoXtzXfbrb50f529fW5tF0VJr9Tiyt2MV3MZNCLE+egdmOHNunN07m/AagjKarmNzumnbtIPBnrOrft3RS71s3b0fi9VWsG1fZ03Fh4qaa3ItZxKrDF1Vuhvra/it/TvxGtoiJVWVvz17lpemptbs+zhWW6nIMNFurIRlNlswW4ofg1Tbz06IldpVU5O9/b2BCfrnq7fFY6WYjqd4oG+cn97VzhZ/ZhFxdDpKIplmU0t+FSOTSWFzvYf/dPc2fvGurUxHkjzfO83XXhnk6Qtrtx8X19cqi10IUdbCydxckmcN577sZoVtdW52B9zsbfCwr9FLd6MH1xUqa2u6Tu9UhPteG+JnbuqifeFc4Ec3NUuoqMx0GVqDqrrOVDxZwtFc2VQ8yVQ8ybHp5S9qdFlMdLrddHhctLtcNDkdBBx2/FYrbosFu3l1lY/MJoUGl50Gl53dyzxO03WmY0nGo0lGwnEG5mMMzMe4OBvl7EyYlJQ72rBUHQbmY3T58trt/i5wDzAB/BXwKvA2oA04TiZ4JG8KIcS6KN/VRSGEKK538YaEikQpRGOV1f7M2K6tXENQt+5t4n13bs5+fXoqzKefulDCEa0tY/uzuaAsCAkhCn3/0XPs3N6I17C/SKYzYYtNO/YwNthHKrm6VpCaqjI22E/7lsKKCTtafNgspuz3qETN/lxgM5yujgoP7S4Hv3NgF1u97rzJ6mAyyV+fPElPKLSm32+pUFFyBe3PUlpuIUpdpsVZnd3ORFw+G4W4nLFSmN9mwWkxEavgfXY1MVbP+9YTPfzVvx1nc6uPNx9p481H2jmyqwGLoY2PoijUe+y8Z38r79nfiqrpjAZjvDY4x+NnJ3jo1ChRqXRaES6vTmRWwKwomE0KFpOCWVn4/8LXJkXBsrDdarh/8bFWk2nJbYuvYyLzHjIpoCzcBha+VthU46R5oRrw4vh0dHQ9t+Kok6mQqQOanqmOltJ00lrm/ylVJ6VppFSd5MK2eFpjPpkmlEgTSqrMJ1PMx9PMJ9JEZF+1IURThgvUrhD4uZxZgTavg64aJ11+B5trXGyucbK11kmnz4nZtLLQRSylcmZsnm++McK/vTrE4lsrklT5k3fvBeBwfQ3v7mxiOBInmEwxnUgSTFbHuUG5CjhyF7VspKqk0bTG2WCIs8Glz7lMQKvLySavmw63i2ZnpvJRjc2K12LFYTFjWWXLNZOSCx911+evhaRUjXMzEY6NB3l+dJZXxoJyvLjB/If7X+Fzd+/m3q564903Lfz/3UWe8hLwAWBjXKkrhCgr5b8aKoQQ+QyhIt9yjxNiXURihkpFFRAqihkrFa1zyeqr9dsfPpQ9oZ6KJvmFH5wivoFOgo3tzyam1qaXvBBiY5maifDisUvcdmNn9r7owv7barOz6+BNnHjp6VW/7sTIYNFQkcWssKXRw9mR61+Kfq0YKxXNJjZ2FbgtHhe/unc7O/2eggnoY1NT/N8LF5hLrv0VwOYlJrvVJRYH8kNF+SuryUSiaAu0uiXaoglR7S5FIvx/9s47zo2rXvvPVPXV9t537XXvseM4lSSQEBK4gVDDGwglhB5CIKHnAhe41MulXkjogUtN4BIC6cWJYztuazsuu/b23tTblPePURmtpLW3SqP9fT+WNU2jo1lp5sw5z3metaLWKXd5bSnuv8qCWx87RB1FBkBR9U5t2nnx7IAb9w24cd/fXobTLuLSTdV4xdZaXL6lGg5rsqMgxzKoLbKitsiK6zdUQ1U3IiQpGPEE0TXmx4khN9r7XTjUO4XeydwUZbIsILIsOJaFwAMCy0LkWLAsA4FnIbIsWBYw8SwEjoVF4GASWJh4LrpMmxc5Biaeg8hrrxc4Vns9x8SnrQIHh1lAICJB4DQRDstowhuW1Tpj2enTMRFO9JmNCntYRnOR0m+TvC0DJrqM0Yl4tGckXaPvvqgZd1/UnLW/QTZRo78BTayk/SZkVYWiak6GkqJAUlSEo2KlsKxo07KCsKIiJGnLQrKCkKQgIMkISgqC0Wl/RIY7LGMqGMFkMIKJQARj/jCJmRaYoM5N0qQXQgIotQqosptQaTehKvqITVc7TKi2myDoXnM+qKoKf0TG2XEfnu0cx+8P9uPshD/ttg+81IfPvmpVXOx014bWpPV/6RrEd46eSfdSYgkoNiWuawEpf0RF54MCoM8fQJ9/5uuzU+RRb7Oh1mZFpcWMcrMZhSYRTlFzPTJz5xe5JnAs1pU5sK7MgVvW1SIiK9g75MI/z47ise4xEtjlARFFxV87hqeLimZiOzS3ogsATCxWuQiCWJ7kZu8iQRBEZsipiMgqfp2oyGLKTecfPSHdDaQpR52KVtQ649M/OdSLQe/s3DhyHX38WW+/seOGCIJYPJ54pgOf+diV8Xm37npTVlWLupZVs45BmxofQTgUhGgyp6xrMrioqLooISoaDebXdSPG1pJCfGB1C6qt5pQG5ZFAAL/p7MRL44sX96BAG207HT5NlBkTdVuIMX1U8nBfH+paWlJeV2pO/W4SBAH88MQxfP2CC2GJ/t5WFNrwtrZa/PRYT5ZLRswXlzeMvz3Xhb891wWBZ3HB6nJctrkaF2+sQlt9Ucr2DMPALHCoL7ahvtiGS1eWxdepqgpZ0dxjwpImwAhJ2rSkKJAVbT2gCWF4jgHPshB5BiLHQeQTAhpGJ7KZLpRhkCygQVRQk47ZuC8Q+UnsOxD7rnBgIMz4ioUhJmZSdEImTcSkRkVMmstSSNIES0FJgUVgEZEVdLuC8EsyAhEF/ogMb0SCPyLDE5bjbkyesAR3KAJXMH/cmFgAVQ4Tahxm1ESFQWVWEaVWEVc3lsS3u6KxGH9+wyZU2E2osIkQZykYmo6qam5Xw54gXh7y4OnOMTx8fBju4PkLIH65twe37WpKu+7fGqvw3NAE9o9R+0s20IuKvBEStaTDFZbQHnahfdI143Z2nkdT1PWoxmpFrd2CMrMZhaIIM8emXHMFjsWumiLsqinCZ3e24um+Cfy1YxhP9Y5DpkAsw/J07zg6p3xoKbSlXR+WFfR7g2iKxu8CaAbwNQDvWaIiEgSxTCBREUEQRiMhKqp0gGFSLaYJYjHx+RNOAEZwKiqJOjmoqgpJzs2GL1UX9Tzoy7+O4ZjdPACc7aZBIgRBpMfnDyddVyannQ9b1mzE6GAvgn7frPY7NjyA6vrUkfI1xdY0WxuHxjJ7fLrLM7tjkutcXF6C97Q1ocJiSmko9kQi+FtPDx7t70dkkSvBPkmCU0jtBrQVpLqFTrfxD04TFY0NDaUVFTlFEQwAqs4TRDJ+ScKdLz6PL2y5AOUWrT5/VV0piYoMAK+L9QlFZnZoiEgKnm8fwvPtQwCAEqcZ21eXY8uqMmxeWYY1jUUQZ4gdYmJCIY7FNMMjwiCoumu5Gv0vHkemJqLKlOi8oqhQVDU+H9sm8brEPst1ro4A8MixoajDkiYiixEXi0FzyorHtbFM3P1JH9vGc5pzlEVgYRY4mGcZjbVYxOoh3ByETJsrnefeSIfejUmJipcisoqwogn7gpImTvJFH56wBF9EThI0hSQl7uwYj6SL/Z1j7wPN4YljGAhc9Pgz2t+Fj/7+BZaFwGrTHMNAZLW/jU3gYBU4WAQWFp6Dmedg4VmYOBZCdFv9cTsX26pnd4wAQFIU+EIyRn0h9E4GcGLYgxe7JvH82QmElfm1T33lsVPwRyTcvK0eBWY++v1MiJ0+tWkFvnf8LJ4YGJvX+xCzp8aaGDQwMcsIbyIZryShfTK9+EhkWewoK8aOslKsLixAkUlM+j0LHIurGkpxVUMpBr1B/O7EIP54ahBTIRJ6GQ1ZBd7+98O4vrUcjQVW/P3MCEb8YVzbVAZfRMJTvRMY9IVw+6Z6fHBzY+xltwL4DwBns1ZwgiDyjtzvDSUIgkgmXhESRQ4VpTYMjeZXRxKR23j8uvizHIwT41gGZhMHk8jDLHJortE6/phow1Mu4vZF4sfy4toiPNyZX40+pZZEC39332QWS0IQRM6ja9OfHlnJsixqm1ag49ihWe3SMzkOpBEVVTqN6xDDsUySU9FJtyeLpVk4bmqsxk1NdXCKqd1gE6EQ/tnXh8cHB1MEO4uFKxxOKyoqr65Gx9GjScv0nTiqqkKZJhOaGBlN+x4MGNgFAZ5IfkfYEcRcCCoKHu7twTtWtgEAis1L4fVBzBd9TFBglh13464g/rGnB//Yo4nHeI5Ba60TqxqKsKKuEM3VBWiscqCmzA6rOffuRedKWJIhSdogGO0RnZYURKLL5Gg8liRp6yOygos3VCXt5y8vdENWFCgKIEfFN7FnJerapOiXK5pgQ1ai76eokGUlOq9CVmLLtMiueBmi6yKxcsqJsosCC7tZgCQrCEeizlFRMUk4on2ecERCUNLKuZj89hOXY0fU2eoPB/pw15/bF+V9GEaLsjPxHMw8C5OgxdiZeU10ZIo+x+aTlgksTNF4O5FPRODF5kX9NKdtaxK0yDyrwMGUJUGT3o2JZRjwLJBHP8nzQlU19ydfSMZkIIIxbwi9UwF0jftxYsSDvT2Ts3Iemgv/9fQZ/NfTiZizd2yvxxeuXQ0AKDGL+PyWNmwvK8RXD3csajmIZBocifu0Tje12S8WYUXBs8NjeHZYa0PlWeDq6iq8sqYS9XYbWJ3AqMpuxh3bmvC+TfX406kh/PRIL0YDCx+fTSwerrCEXx8fSFr20/bepPmfHO7FDS0VqC+wAJoZ3Z0APrhUZSQIIv9ZZtVdgiDyAC+AEQDlAFBf5SBREbGkeLyJm65Ch4gbr2wFxzJgoyP3OI4Bx7LxZQLPQhQ4CDwbXycKWqMY4iPD0lvMgwE4loVJ5KKv4eLTJpGDyHMQBf0yHgKfWTiUqy4Aj+7vxduuXgkAuLGtEn84MYyDw8aN5NFjFzk4dM4jL58YyWJpCILIdZ56rhOvu24dAKCpzIaDXcnuZhW1jbMWFXk96S3VzSIHu5mHd5Eb+xeDCqcZvK7T9uUpbxZLMz9ElsV72hrxqpoKmLjUjrEBvx8PdXdjz+go5CW25xwOBFBvS7VYLy4vh9XhgN+TEHMJukZrJU05A34fFEUBy6bWU+w8iYoIIhPuSOLewy7w4Bhmyc8FxOwQdec5b2B+5zZJVnGiewonulMjfIocJlQUW1DqtKDALsJhFWA3C7CYeZgE7f6Qi7rMAJrDjSQriEgKQmEZ/pCEQEiCJGkCmZiQRlFiopnoIyqaUZSEsEZRNaGNrCha1FRcsKNEnxPLNJGPqttO20bVvW6u/OSeK3DFlhoAwN/39eLO+/bOeV/5SEQX0bWYA4xUFQhGFAQjCmYO8ll4OJbR3HhEDlaRg03ktemoYCkmYrJERU0WkYsLnN6xszFpX3u7J7XX8DHRkzatCZ9yw41psVBUFe6ghKlABFOBCFzRZ4eJh83EYcofwbgvjK5JP04Ne3Fs2I1Rb+4JEn6+tweXtpTiihWlceHXtXUV2D08gWeHyDV6qai0JAavnHTlR9ueEZAU4B99g/hH3yB4FnhtXS1eWVuFMnPC/dbCc7h5TQ1ev7ISPz/ah/vbe+HPkzhHApBUFb881ofP7FwRW/ReAF8H0J29UhEEkU+QqIggCCPSiaioqK7Kgb1HhrJcHGI54dY1nNitIv7zoxdnsTSzIxheGmeD2fKN3x3Bm65oBc+z4FkGv3zNenxnfzd+fqTP8JnfrYWJeCFVVXGiI71TA0EQBAD87i+H46Iik8Ch2C5iQnfdMZktKCgqgXty/Lz36csgKgKAIptoSFGRPrpNUVV4JeN9hiJRwIfXtGJHWXG8w1dPl8eDv/f2Ys/oaNZEwf1+Py7IsK6msRGn2xOOB4KuEz2dqEhVVciSBFZMzefh03x+giA0TrtdUFUVDMNA5Fh8fEszvn6gE/PQYRCLjN6paL6iopmY9IQw6QkBSBUcLRf00WHnmeC0bFHzVIwoKyo8IQmeOcT57GopwYpyBwDgR7vP4quPncq4LQNA5BMio9izReBgEznYTTxsIg+7iYfdpImbbCYOdjG2nIOJ5yBymoO0EHVfYhlEB5fpBpzF3lM38EzWu2rp3LYkJSEAjE+rKgIRGYGwFr3mD0vwhWX4wzJcgQjcwQhcQSk6LcEV1Jbly3Xl1t8ewGUtJfj527bGj+vGYieJipYInmGS6vZTodwTny0HJAX4U3cf/tTdhya7Dbe2NWNNoTPuXmThOdy+qQFvWFmJ77zUhQc7hrNcYmKh+OOpIbxrfR2q7GYAEAB8HloUGkEQxLwhURFBEEbkDICdAFBXVZDlohDLjZc7x+MN+0YjFMlNUZHbH8bnf7YPX3r3djAMA4vAMa/W5wAAIABJREFU4Z6dzbh5bTV2902iyxVA56Qf+4Zc8OaoMCoTa0rt8Wm/n1wYCIKYmT37u9HdO4mGuiIwDION9cV48niyeNrhLJqVqEgKh6HIMtg0LjjWHIzxPB9aKhLn1qWKAlsomu1WfGhNK1YXOtLWJQ5PTODvvb04PpX9TuKJUAgBWYYlzXeH55O/O/r4MylDx6WaIeeFgfHqVASxVPgkCcOBACqtmpjyphXVWFFow927T2AsSB11uYheZBkMGesaZTh0lxsj3p8T2UXvknUugbMKICRpcXau4CIXjJgzNpHFp69ehRs3ViedE0i/vnSYprmieSLGG/yRb5z1+vDZl9ph43m8f3UrLiwvjYuLyqwmfPmSNtzQWoHPPHcSA95QlktLzJeIouJHh3tw766VsUXvAPA9AAeyViiCIPIGY7YiEwSx3IkHZtdVObJZDmIZ0j/sxS//cgyvu3oFWJaBqmrW7aqqxm3dE9OaLXxEUiBJijYvaZbzEVmJvw4AoGoNVfr9qQBkWUUoLCEUlhEMSQiFZARCEgJBCf5gBIFgbFqCxxuCxxeB2xuC2xuG2xfG3e/djltu1FwvLDncefy7JzpRXWrD7a9dCzba4lNXYMab11TFt3GHJNz5+Ak82WOcEWZbKhPCx57+ySyWhCAII6CqwO8fPIy7PnQ5AC3mi2G05TGsjtkLqiORMEycJWW5WTRmlENjWUJUNG6Q0a8XlBbitlXNqLVaUjo+JUXB8yMjeLivD32+3Ir1jShKWlFR0O9Pmtd3oksZxEN8GpciAJBUstwniJn45tHD+NLW7fGIxE1lTvzh1VvxWO8oHuwcwrEJ40ZA5iOCrvc6EKbO1MVEL2ElzUAqpLOamUAkUf+wGrROTCS4fVcT7nxFa5LQPcaj/eQYvVRMFxUZ0VE2X/FJEr7efgKFooBPbFiNVc6C+H3pjqpCPPi6rfjynk48RK5FhufB08N4+5oatBbZAK2KdC+A67NbKoIg8oHc7V0kCILITFxUVF9NTkXE0vOlH+zBl36wJ9vFOC/8wYQ7Tq53Hn/r90fwh6c6cf8nL0dTVUFKp2uBicePrlmLt/71MF4aMkYu+4U1hfHp5/dRhDVBEOfmD389go+9/1JwHAuWZbCqqgAvDyTOeTwvzHqfUiQCkzmNqEjI7etCJiqc5vj0RCi3XeCuq63Aza0NKDalCmr8koQnBgfxz74+TIZzUxxl49M3GQSmiYr0HTjhNKIik9kMNk0nDwAEJHLyIIiZGA+F8Mm9e/DpzVtQFj2XO0Qe/9ZShdc2V+LL+07joTPUAZQrCLoO1UiOOsXmC7LuepMuSnS5w+rup9NFky53vLrItAITdZEYmfVVBfjElStS2pDCsoL/PNKBl6dIfLtUTBcV+UhUlHNMhSP41P4jWFngwCc3rkaxyQQAsAk8/uOSNmwqL8CXX+jI6D5L5D6SquKXx/rx7xfH3YrWZbM8BEHkD1RjJgjCiCSciirJqYggZsLrM46oCAB6R3y4+s6/Y2NzCd56dSvWNhWjosiC4gKtA5ljGbxnYy1eGjqe5ZKemw3lDlTatJtzVVXxm98fzHKJCIIwAsMjXjy1uxNXXroCALBiuqhISO/2MhOylF54I3DG7IArK0iIisaCuWfRzgK4ZUUDbqivgjWNKGciFMIjfX14cnAQgRyObzNzHLgMNgeBaY5K+u0iaURFFpst4/v4qbOBIM6JW4rgk/texLtWrsJF5RXxjlOWYXDPtlYcHHWjxxPIcimJ6ZfVgMGim42GLCc6PElUlArL6kVFWSxIjjIVSNSPbSQqMjQfvbwlSVD0fz3DeGF4AiddXoxSVOiSYtINIlBJlJLTnHJ78K5n9+I9K1twbV1V/Df0xrYqlFtF3PHkcYRl+hsalWmxnmezVQ6CIPILqjETBGFEOmMTJUUW2CwCfIHcHqVOENnC60/8NkwGEBXFOHxmHId/PB6f//YHL8INuxoBaGIdI/Cm1ZXxaY83hM6u8Rm2JgiCSPC/fzkcFxXZTDzsZh7eoCa8UDNES80Emya+CjDuqPVKnVPRUCCYxZIk4+B5vH91My6pLE2KA4vR6/Ph4d5ePD8yAtkAxz6TSxGQHH/GMMy5RUXW9KIiWVURUqjTnSDOl/tOncCfu87ghvpGXFJZBZZhwLMsLq8pwS9P9GW7eMue6ULMUJjiHRcTWaeU4bn0bnjLGX1/olHrfIuJT+dUZDWoeyeh0aZrI/rT2QF89xj1n2cLlnIXDcdPTnXiycFh/PvW9bBE7/8uryvB969ch488cQx+ieoyRqTWYdbPjmWrHARB5Bd0x0UQhBEZBBAfll5LbkUEkRGvPzEqywhORZkI6aIDxgwgIiwy83jtivL4/N8eyX1nJYIgcofHn+mA26NVdRiGwaaG4vg6RZ19ox7DpL/tixh05GFlYSLKrcvjn2HLpaHBZsE3LliP379iB15RXZ4iKHp5agrfaG/Hp/bvx7PDw4YQFAGZRUWyLCMUTIi5eIaJdyCoqopgGvclszU1fg8A/BlctAiCyMxkOIxfdJzCmO53aKMO8ZxgevQOsbjoRUUsORWloI/ikwxa51tM9E5iJp66SIyMXtA5Faa6ZTahM40x6fB48e7nXsSEzgX4opoi3H/NBhSSk5vhsAkcXttaoV+0O1tlIQgiv6AaM0EQRkSBzraxvppERQSRCa/P+KIinmVx/UUN8fnjY94slub8ePu6Gph57XgrioqvfOeJLJeIIAgjIUkKXjrcG5+vLkoIMpQ5xGVxGZyKJNl4ow6dVgFWXcNmpyd714TtpUX46a4t+PGuLVhf7EwamauoKvaOjuJzBw7gy4cP49DEhOEa2W2CkHa53qUI0GLSYqgAlDSfNFP8mTdC0WcEMVecYiIOc9CXe1GQy5HwtOuq3UodcYuJXsNFMTup6CPhJMo/S4Hn9C6LdHyMTLEtUWcdCVDcWTahc7Fx8UsKbn9+P0Z0TsDrywrwy1dvQqXNlMWSEbPlk9tbUGKJ3ycEAfw6i8UhCCKPIFERQRBGJR6BVl9dkM1yEERO404SFfEw4uDZe9+1DWYx0SD/m2MDWSzNuSmxCLh1Q018/oX93fB4qWGLIIjZcfBI4lzHcyyayuwA5iYqyhR/ZsRR61U6lyJVVdHvX/r4sxsbqvG7y7fji1vXos5uTXKmCMoy/tXfj4/v3YvvHj+OMx7PkpdvobBncCoK+HxJ8ybd90vO4KSVSVTkl0hURBBzRe+K1usNZLEkRAwVQEgnLCqwipk3JuZNkpiXRCEpcElORcYTki82Jj5RfzFinZhIoL8e9vnoephN6JdkbMKKgtt370OXbuBOS6EVv371RjQ50zvPErnFG9uq8PqVlfpFXwUwnqXiEASRZ5CoiCAIo9IRm2ggURFBZMQ9Tcwi8sZzK3r1jvr49EOnhtE+mttORR/e1gB7VASlKCru+tz/ZblEBEEYkcmpAEZ057s1NU4AgKLMQVTEZoo/M14Hkz76bCljxESWxQdWN+Ohq3bitlXNKDIldxRPhUL43zNn8JE9e/DLjg6MBJde7LTQZIo/m+5UpBcVTXfpiGG2WtMu91H8GUHMGUlJ/N5qbOYsloTQE9KJf+3W9I5vxMKQ5FSUvWLkLORUNDOi3qnIgHViQsMmsknxh6+uq0CV1QQDjqcjiJxAAXDHiwfRPjEVX1ZlN+NXr96EdaX27BWMOCf1BWbcvb1Fv2gPgK9kqTgEQeQh5MNLEIRRiYuK6mtIVEQQmXB7k6MQzCKHUGT2HdLZxKFrjH+8O7cHVzQ5LXjT6qr4/COPn0D/oDuLJSIIwqjwPIvOrnGURx2KCqwCTDwHRZl9pwfLpheUygbsYNI7FQXn4No06/ezmHD7qhZsKy1K6pyL0ev14uG+PrwwMgIpz+z+M8WfBaaLinSitUCGv0kmpyIfORURxJwZDQZRE/1tva6lEv/XNQwDntbzDr1Tkd1CoiIie3A61ZUR63yLTZKTEx0fQ6Oqatw59Lr6ClxXXwF3OIK/9gzj/pPdICOqpSPPboeWNZ870I47163CropSMAyDIrOA+6/ZgA89fhwvDk6dewfEkvPu9fUw8fFr2zCAGwGQdT5BEAsGORURBGFUyKmIIM6DKVeyU4JZNJ5TUVhKNMzftKoSRebc1UTfdWET+GincyQi487P/C3LJSIIwqgIPIuevimEo0JQhmGwoaFwbk5FGePPjDcqW+9U5IksniDlqqoy3H/xVvzskm3YUV6cIihqn5jA144cwT0vvYRnh4fzTlAEZI4/0zsVMQyTFDkRSCMSYhgGZkt6u3xyKiKIufNof198ekNpAW5f35i9whBx9OINnqNm18WEIS+SGdG7tyylu6NREOj45AW+sILTadysC0QBN7fW4iPrWtK8ilgs6JeUX3zz6Ak83DsANXqOtAk8fnT1OryyoTTLJSOmU2oRcH1LuX7R3QAGs1QcgiDyFLq7JQjCqMRFRdXldogCnc4IIh3BsBK/+QMAiyl3BTmZePylRIfJJXXFeOwtF+D9W+ph5XPrd7+1sgCvbErcWP/8t/vhD5IDA0EQc8Mk8li3ugJ6LUtNkRWyNDtRETtDh6YRR2VXFSXEKZOhhRWkOHgeH1u7Ag9duRN3bWhDjc0SH/UMaFFDzwwN4Z79+/G19na0T04u6PvnEgwASwZRUcDni08LDBM/RqqqIiCnXvfMFmvScdTjJ6cigpgzzwwPYlwXtfjONXXYWVmUxRIRwLTIKQOKd40Ex+mPtfHqNIsNq7v2Kgas8y02+t8qOTkZm1f+8Hnc/r8H8dyZsZS/5WsbKnFVTVmWSrb8UElWlHf89NQZPNDZHW9bFjkW37xiNW5aWZnlkhF6rm0qh5ho+xkA8EAWi0MQRJ5ivJ5FgiAIjW4AMgCOZRnUVjpwpteV7TIRRM5jMqBT0V0/fAE7VlegxGkGADhNAj62vRFvXF2Je546hRf6c8N29+4Lm+PTPn8YX/rm41ksDUEQRmfHtnqsXZXcUBeWZChpRBszwWSIPgOM2QFXW2yNTw8FgjNsef5sKXHi1hVNaC2wpRW/uMJhPD00hH/192MqvDzcwy0cl3EEkl5UxLPJW6X7RmWKPgMA7yK6TRHEcuCLB1/C13fsjDuGfW7HCrzh4ZfgM1jccT5h4RPX3Un3wlyniPToL9kKOc2koL9EG7DKt+jwFH+WV/zjxAj+cWIEANBQZMHD77sINlHr+rprQwt6vQGcdKU6GhELC/2S8pM/dvXCFQ7j9tUrwDAMWIbBF3atRJFZwP8c6c128QgAF1YV6md/BYo9IwhiESBREUEQRiUCoAtAC6BFoJGoiCDSo6qJBleTYDxRUTCs4NIPP4hvf3AXrt5WG+/wrXWY8YvXrMe393bhhwezexP7qqZSbK5MRDF+7b+ezGJpCILIB4qLEuIZVVUx5gnhqePDkGYZF8XzQsZ1oVm6HuUC9SWJ43LW65thy5nhWeCWlkZcU1uBAjH9MTrpcuGx/n7sGxvLy3izmcjkUgQAoUAgPs3rXRAyHCOzNX30WURRIKnk4kEQ88EtRfCjl4/jg2vWgmEYlFlMuGV1LX5wpDvbRSMAkE6ByCbMeVyjcwmBY1BqN6HUJqLIKqLAzMNm4mEROAgcC45lwDKIdmhrTkOqCkRkBcGIAk8ogglfBBO+MMb9YUz4wvCGMouXeXIqylu6JwO45df78ft37gDLMDBzHD6yrgnv392e7aLlPQY41RBz5NGBYUyFI7h745q4E95Htjah2CLiay92kqAsy5RZRf3sgWyVgyCI/IZERQRBGJkOxERFNQXn2JQgli/6EZxGteAPhhXc/q1nUVduw7c/eBE2tZbGR8fcuaMJxRYBX37+TFbKJrAM7rqwKT4/MurFL373UlbKQhBEdmhtKsFlu5qhqkA4LCMckRCJyJBkFYqialbhqtaho6qxZdEOHjU6rahQkVhXUWaP79/lD+PR9kEAgDzLuKgZRUURY10TRJ5FZWFCoHJiavajjVscNry3rQnri53g0rgSBSQJu4eH8djgIPp8cxctGR0Ll16ErCgKwqFQfF7vVJTp22SxWlFttcLOC+jze+GPitl8sxTILVdsPI8LyytQbbVCUVXIigoFgKIqUKF1hPolCUFZ1jpcof0tJEWBpKiQVO05osiIqArCsgK/JCEgSfBKkYx/N8I4HJwYw8uuKawp1KLP3tBahfuO9SJk0Hq/0dGLE0QDDugg8gd95Fm6Ok82sJt4FNtElFhFFNkElEQFRMVWEQWWhe+mCEkKJnyawGjcF8aEX3secYcgcBRVmM/s73XhR8+dxfsv0Ryl25wOMCAnncVGH3+WKf6YMC77xibw6f2H8cWtG+L3gW9fU4Nik4BPP3cSERJoZg29UBZAKNN2BEEQ84FERQRBGJkOAK8CgPpqEhURxPnAGvyevnfEhzd87lG8ZmcDvvH+nRB47Sb2nRtq8eKAC491jS95md68ugqNTq2TW1VVfPLevy95GQiCyB4lxVY89Jt3wG4zLdp72EwJYdBsnYq4mRxnDBaPU1NkARu9kKmqihMuz3m/9saGatzYWINSk5i2gbvX68VjAwPYPTKCoGys47IYZHIq0guKgGSnIjnD0OTGkhKsKHCCYRhUWa3wShF0ut0Y9PsXrsB5yKtqanF9fSMsHLfonTLqOYaVq/pnVU2aV1VN5CQrCmRVhaSqUUcMNem1gNbBLUNbL8ceim5aje4jui85KrrUd1GFFRnucART4RDOeDzo9y9f8Z+en5x4Gd/asRMMw6BAFHBBRSGeG5jIdrGWJfpzYexehSCygV7gxnMLdx0x8SzsJh5mgQXHslAUFcGIjLCsQORY2Ew8iqwCnBbtUWgRUGQVUWgVYFri34SJZ1HlNKMqGqWup0EXqbvcHCmXC091jMVFRTzLkKhoCaCfUv5zwuXBHXsO4Os7NsMcHYhyXUs5Cs08PvrEcfglEmlmg0DycS/LVjkIgshvSFREEISR6YhNNNY6s1kOgshpJEmBEB0lW+q0AJjMboEWgP97oRuHO8fw6DevjzfWX9FQvOSiIrvA4UPb6uPzHWfH8cSznUtaBoIgssv2zXWLKigCtHiHGLN2KhLSOxWpKiAZbCRhXaktPq2oQFiZucGyzCzitrZmXFheDIFN7cSSFAV7R0fx2MAATrndC15eI2PP8L3RR58BgKhzNBJZFq0OTegfl5SoKlpLSuOiGIZh4BBEbCopxdqiYlxSWYmwrCCoyDBzHDiGQTjqFiCwLESOhchyYBnN2UuLTNNEKTFhSpJAJT6vRGOHVCiqJnxRgfgyFYCkKjpBi+bmo4litOWR6LOKxH4T7wkoSLxeim4fVmREFM0NKCTLCCvyrJyAysxmXFVdi8sqq5KO7WJzLtFS0tpM2y5hefUoqop+vw/PDg3hiYG+Zeu85IqEMRkOodikdZxvK3eSqChL6EVFRoyeJvIHWVdPSlcPOhcix6KhxIraQguqnGaU2EQ4LQKsYn58r0UucUw2VDvxuvVVeLF7EoPuYBZLRSwktYUJMZk7TO6MBLFQ9PkDuH33Pnz3wq1wRKPEd9UU4/5rNuB9jx7F1AzRk8Ti0DHpw6by+KD7DdksC0EQ+QuJigiCMDKnYxONFH9GEBkJhqS4qKisMHWEnlHpHfHh8Zf6cM0OTdQTcwtaSm7bXIdii5ZbraoqPvTJvyx5GQiCyC51NYXxaVlR4fKHwbEMOJYBwzDxzvhYPzwDBtF/sQWJbRDfKB5ToagqTg8lHHkWyqnIaC5FAFBfkhAV+eXMDZVXVpXhLc11qLVZ0oolxoJBPD4wgKeHhuCOUARXOpwZREU+T7I7lD4mjWWYtIITq9WasgzQOjhrbfa06/KJTC5AsaX6I3Yucc9JlxssGLBM9HhDO1eYOQ48y8bFU4DmIsUxDFhWe4492DyLomAZBnU2O97a0oo3N7dgwO/DY/39eGZ4MNtFW3J6fb64qKjOvvT1YkJD7w5DoiJirpQ7zWiudKC21IYShwl2iwAhKoJR40LXWHyutkyORujG1pcWJO7911Q58O5djUkuIlo6b/Q1iMX0ao4uTouAMrsJc9AiGQb99ZABsL2hCNsbitAzGcCergkcHXQbToBPJPPGzbXxaZ9kvHsfIzL9FxOL5SXyj6lwBO99bi++u3Mryiza9WZ9WQF+9epNeO+/2jHoowSupeTkZJJ766ZslYMgiPyGREUEQRiZuKioutwOgWcRIYtNgkjB44/AYddcNMoK86uDwWFNdHpOBJa2Y7jKbsI7N9TE5/fs78HLp0aXtAwEQWQfvajo1KAb133tyXnvs6zAhI9cuyrtutk6FXFcenFI0ICiohpdTIUrnHzOLxR5vKetCRdXlMZt2PUoqor2yUk8NjCAQ+PjFH1wDhznKSo6H4GKw+EAAJx2eSCpCups1oxOSPlIJqHQXKQ9U6Ewvnrk5XmVh2UAkeVgijpBMdD+jrEoOzVaNjYqQNKLkdio4FG/jmUYiCwLE8fGnzmGTfmMDAPwDKvtj2XioieeZcBFl/NRARTPMOBYFiyQIs4UWBY2nodTFFK+pyzDoNZmxztWtuHtrSvQ4XHjuaFB7BsbPaezWT7gDofj004TNfdlC32MEsWfEbPBZuKxbUUptrSUoKRg/i6Y+qgxh5lHs87xkUjWQSu63219kQX1RTW4bm0l9vdMYm/3JCaXuK2BmD/rqwqwo6EoPt8+Qa6kS8F0MT2JivKboKLgfbv34Zs7NqPRoQ0WaS604tfXacKizimKu14qTieLirYBlPhIEMTCQ60MBEEYmbMAZAAcx7Goq3LgTK8r22UiiJxjyhVEdbl2c5dvoqJSnTvR0BKPgvn49kaYea3jWpYVvP8ucikiiOVIbXUigrVvYmEazUQ+s7OBFAlnXJeOTPFnYQMKsWtLEqKikYB2HC6pKMXNLXVosFvTijc8kQieHhrCEwMDGAlSnMX5UiCKaZf7daIiK88nHfNBXwBKtN2SibnpsAz6JAXHhkfhiWiCuB6vHzaBx1ggCI7VhChmjkNAliEpCkwcB0CLFPNLMoKyDElVwccdeZKFLjybLH6JPRgkBCnxZ2jCE4YBWCT2wU3bZ5KQJvp6NvoahtF9PobR9sMunPuPKxzGofEpPNjdhwF/AF/etgGtBZowa3tZCa6uqcCj/cNz3r+iAkFZO64weB9pgSDggrJi7CwvxYbiwqR4H45l0eYsRJuzELeuXAUF53aNikXjpYPR/T/91bHd6l+rfe9mfmW6MiQJseIT0SlVTdleD6/7/EHZeOf4fEHvbGLKk5goYnEReRZXbKjCzlXl4LnFcZPLcPrLSWRJQtDvQzDgQygYgBQOQ4pEoKqK5sinqtq0ogIMwPMCBNEEs9UGi80Oi80OXkhfj9Gjr8MoaQ6QTeRwWWspiqwifnegb0E/I7H4XLu6Iulv/JMT3VkszfIh5ZdEqqK8RwFwx4sH8YXN67CxRBPyVdpM+NWrN+L9jx3DoRES9C0FluQ2JBkkKCIIYhEgURFBEEYmAqALQAsANNY4SVREEGkYnQzEp/Mp/gwASp2JzzPqn11H+3xYX2bHa1dWxOf/9Ld2TEzSCByCWI7onYo6hzwzbHn+mIX0zgaqqkKRZ+cwlDH+zIiiIp1TUb3NggevvBCWDJ/vpMuFJwYGsHd0FBEj9aTlACaWhSlD3oneqcimO/YhWcZEOPU6bLXb0RdIFXP5IhL+1juAidDSXbsXm5gQiU9y4mFTRFAxQRPLIBpZk4id8UYkjIWSRdJfPHgM39yxGaVmExiGwdtaGuclKson3JEIHh8YxuMDw7DyHHaUleCyynKsLy5MjrVhGHDaRNbKuiDMovwBinnJGhG9qIiciohz0FZTgNftbIDDsnwc/ABNJB/weeOPoN+HgM8Tn58vgmiKC4wsNkdi2u6AyawNTNLrgWeqKr7YNTHv8hBLz4aagvj0/tEpjATT1zlXFdpx14ZWCAyD33T24Z995D49H1Ljz0hVtFz4wsGj+Ojalbi0shwMw8BpEvDTV63Hx558Gc/00Xl0MSkyCfjo1kb9omezVBSCIPIcEhURBGF0TiMqKmrQ3TASBJFg0p3ozCuwnnvEnlGwijyKdbbwx8d8M2y9sNyzszlpvuPsGN7z/7ZrzgUcE3c04KKdsqGIBJ8/gqkpP0bH/egfdGFgyIVlkMRBEHmP3qnoeP/CiJtNQnpnA1mava0Iz6c/74cMGH+2URdhUGpJjQXxSRKeGxrCk4OD6POT0HOuZIo+A5JFRfqYuVAGsZs1Gn2WDnfY4DY505BVFbKqIgxoY0MXCHckgt92duNDa1cCAOz88up4Pl/8kownB0fw5OAISkwiLqksx/ayYrQWOJIcjJYLg0vs4Ekk0DueMIvkOkMYH4YBXrm5BpesrTj3xgv0fktJJBxC0O9HKOhH0O9DKOCPCoc00VAkvLjnqEg4hEg4BPfkeMo6QTShoLgEK4WNWNu2EhaLBUoGUdGIJ4SzC+RESiwtw56EiKilwAo7z8E7TXBrYlncu6UNlVZtsNqnNq1EkSjid2f6l7Ss+cR0gd7yq4Etb75z7BQmQmG8rqEWDMPAwnP47yvX4vO7T+HBDhoUsRhU2Uy4/5oNqC9ISib4TrbKQxBEfkOiIoIgjM5pANcAQGOt8xybEsTyxOtNNKZYzQtz6Rc4FgLPQhS0Z4FnIfIcRD4xr63ntGcueV7bPrEdz2kj+XmeBceyEHgGHMuC5xhtHceC5xnwbHSaY3DZpup4eQIRGfsGl8ap7JLaImyvLkxa9qk7rpz1flRVhaKoCIYkTE750TfgQsfZcRw9PoS9B3rR2ZXaAEoQRG5R4DDDohtZ3t4zuSD7tWaIS5EisxdhZHQqihhD1Wgz8bjr+jX4t+11GbfpcLvxxMAA9oyOIkxqzXmTKfpMikQQCiTcD0Xj4/EEAAAgAElEQVSdUCOUIWrJarenXe6TJEjkIHXeuHW/fYWc7M/JeCiMB7v78GB3H3iGQaXVgmJT6vdaH4nHRiPyZiLTkWejkXgxFypAE5kp0UfMiWp6PBqQiN+JzWvuVbHXaEuSo9FiEXy6zxAt+2c3r4vv/+j4wjjnEfODPee3ipgP+kv+QsZQLjY8x+DNlzRjVd0it2ElxXvNfTfhYBCuiVF4XVPwe90IBQMI+n2IhENQZBksx4EXRLAsC1mWIEvaI1eJhEMYHxrAC7t9OLR/HxobG6EU1gBMap1lD7kUGZbvPNWBGzdUgWEYFJlE3LmhFfceOJm0zVU1ZXFBUYz3rGrAoQkXTkzN3zFrOTI9SpBjWdBouuXFLzu6MBkK450rm8FEo6q/fEkbSi0iftrem+3i5RVrS+z47pVrUWlLGnD1bQD/ylKRCILIc0hURBCE0TkdmyCnIoJIjz+YaNDbvKIUX3jnNhQ7THBYBZhFHiaBgwpN4MIwTJLgR+S5aSIhbVmu8XTvRMYOzYWmVRe/Mx8YhgHHMbBZRdisImqrC3Hhtob4ekVR4feHMTzmRefZcbQfG8Tz+7px4EgftckQRI5QUZ7ofFBVFd1jCzOS2SKmv02by6huPoPrTCjHo3F2tZXh469Zg/X1yTFGMYKyjOeGh/HEwAB6fEvnVLccKMjwndG7FAEJNz5A+3ukw+ZIXz/PN5eixYbXdZbzDAMzyyJIlYHzQlJV9Pn86PPlt9NEmzPZFezFoYURuRKzR9KpNwTeOEIXIxLW1WVEg0TNsQzw1stasPI82q8URYF7chyuyTH4fZ64UIdhmPgDDAOWYYH4MgBgwLIsXuJHYDFp1/QTQx50T/ih17nFXq+9IrE/VVHi8WQe1yQC3plFirkuIsoEw2jH+MyZM+ieaIcHJtQ2r0RlfRN4QURIUnCwb2kGLhELT+9UAHt7JrGjoRgAcEllMTgGkKOnaCvP4Z1tqYMWeJbBjy/eiKcHx/CVQ6cRWKJ2pnxBniYqEgwk+CQWjr/1DmAyHMYd61bF7+Xv2NaEMquIr77YSUMk5gnPMHjL6mp8bFsTRC6p/nMPgK9lqVgEQSwDSFREEITRiYuKGklURBBxdm2pxltvWI2t6ypRUphkgYq3v3Jllkq1ePz19MiSvdefTw5jR5UTq0s1MUGs3yA2jlxVkRiRHl0ncAxMHAubwMEqcGk7yKfDsgzsdhPsdhNaGkvwyitW4k5owoVgSMLYuA89fZN4+dQoDh7pw/P7ejAxmd8dZgSRa1SUJURF8nyGgE/DJKTvGJPmEH8mmsxpl/uCudf5Y+ZZfOw1q/H6HQ0oss0c1/nBF17IKGQh5keRKTVaDkgWFTHTXF1CGQQumeLPXHNw3VrOjAQSUbYMw+AXl+3EFw8dxdFJ6uwkNKZfg/w5LhzNZ/QubEIODsbIJyQpce0RDCIqes0FdecUFIWCAfSeOYnB3rPzigk7ogzHv4Nd4z6MeCgWUQ+juydXVcDvdePU4f3oOHoIlfWNGDHXLNnAJWJx+MGzZ+KiIpZhoKpAi8OKq2rKcFVNGcrMWp1XVVV0TfjRVGKLv/ayqlK4wxK+0d6ZlbIblVRRkTHOzcTC89zwGCZD7fjClnXgo9+Dm9fUoMQi4J5nTiKygO0nC4WJY1FsFnI6RviK+hJ8cnsz6hxJbf0ygA8A+HF2SkUQxHKBREUEQRiduKiopsIBk8ghFKYGVGJ50lLvxN237cDOzTUwZYjOWUxUXeOBFt2gRXSoKqLxD4koCFlVIauArCiQFUTndQ9FhaRoz7KqIhKdl1Tt+cr6krgwZyoYwVM9S2dL7gpJeN8/j8/59QyAAhOPYrOAMquIGocZDU4zGgosaHBa0Oi0oMCUuYrGMAwsZgF1NYWoqynErh1NALYDAGRZgccbwvCoF109Ezh+chh79vdg/6G+pEZ3giAWhoqyhGAiGFm4+geXQXiozEFEw3Hprwe51Pm2ubEId792HbY0FaeNLwmEZZh4Fmx03Wm3mwRFi0hRhvgzryshYLFwXLwzTlVVhDN0utkyiIrIqWh2nPH4sG90HBeUlQAARI7FvVvW4449B9CT5w48RGbMLItqmwUDvkBK9KOZ4xBRck88uhxIcirKIBImFgZ9f6QRvDDWNxRhe1tZxvWqqqL3zEmcOdk+pzrfjORe321Oof8uKbKEgbMdOGgRAaQXWhPGwCwk7oM4hsEnNrbi2rqKlO2ODrpx/U/24EOXNuPDl7ZAiDp/vKq2HPef6gEAvKm5BqsK7RgPhrF7eAJPDY6nCGiIVFGRSKKiZc2xKRfu2HMAX9++GeaoyPXapnIUm0V8+PFj8C5gG8p8qLCKuHlNDW5qq4JD5PHr4/34you5JSjkGOCzO1fgpraq6auGALwVwJNLXyqCIJYbJCoiCMLodAOIABAAoL66AKe7yOqdWF68Ymc97r5tBxprCpJG2+lRVBUhWYE7JGEiGMFkMIKpcAQBSUYgKjYRGAYKgJCsICjJCMkKQrKCgCQjKCsISQoCkgK/JCEYUeCPrvOFJQQVBUulWfnKrpVJTj/3He5DWDZOY44KTZjkCkk46woAg6kuA8VmAc2FFrQW2dBSZEFrkRUthVZUO9I7jsTgOBaFTgsKnRa0tZbhVa9o095TVRGOyJicCqB/0IXTnaM41D6I517sQm//1GJ8TIJYFuidirwL6PyT6VyuzqXhOsO+CizpI66WCpFn8aFr2vDmnY0ototpP/PJYQ8e2NeLvxzqx/+8bQsubNIEFWPBYMq2xMLAAijIICryTCWuF2adWC2iKGn7KhmGgcVuT7MGmCJR0az5RvsJvGNFE66tqwagjbj/9Ka1uG33viyXjFhKSkQRt69ZgVXOAlh5Tdw3/dogKQoCJLzMGpJO4GUSyKmI0LCIHK7fkRq1FCMSDuHYgRcwMTq0cG+qd+JZuL3mDfqapzrtCAVFJ8ZlEhQZnd7JQNJ8OkHRpD+Md//2AADgv585g/v3dKH97qvAMgxEjsW1teW4sakapeZE/fjKmjLcNOXBx1/MHVFErkDxZ8R0+vwBvO/5vfivC7fCGb3P3FFViF9cuxG3PXoUY4Fw1sq2qtiGW9bW4trmsiRXrZvX1OCRs6M4OOLOWtmm86kdrdMFRTKAX0CLPJtu328BcCGA1QBsACYAHAWwP/o6giCIOUGiIoIgjI4EoAvACgCoq3SQqIhYNly0pRpf+filqCqzpe2MPTXpw7P9E9gzOIXDo+64eMiovGttLd6+pgYllkRjTseEDz9r789iqRaHiWAEE0MR7B9KvoG18iyai6xoLbSitciKxkILmpxWNDotMM3gOsIwDEwij8pyByrLHdi6sRZvvnEzAEBRVPgDYYxP+NE36MLpjlEcOjaAPft6MDjsybhPgiCAivKEC8uEd+EssjMlJGYSG82EmsFWPJyla8LW5mLc9Zo12NpcktaVKCQpePjoIH6zrxf7uxN1uoqChKiSREWLR4EoItPVRO9UZNKJiqY7pMSw2u0ZnbJc4ew1HhuVsKLgf052YsAfwLvaWgAAZWYTSs0ixoJ0PJcDr62vwf9b0ZQSozv92vDP7tEktxxiadEfezGHXAHznjnUkZaSS9dVwprBjTYcCuHgC0/A51nMSEs6J0xH/5WZrtsf5Eu11kbC0Bwf9kBSlHj0UoxgRMYznWP4/cF+PHZqNGmdL6zgzLgPrdG4+/eubky779WFDtxQX4kHOvOvPWo+TI9jFVkS1xKAKyzhfc/tw7cv3IJKqxbbtarEjt9ctwnv/Vc7ut2Bc+xhYbm4pgjvWFeLndVFGbf5wOYGvPuf7UtYqsyUWUS8IVlQ9CKAWwGMAVgP4GIAWwE0ASgDkKqg1BgD8A0A3wZAN5AEQcwaEhURBJEPdCMqKqoqt51jU4IwPoUFIn765WuwYVVZSifCiD+EP58exkOdw+jz5ken6ye2NeFNbdUQueSGoPFAGO995BiCBhdLzQa/pODoqBdHR71JyxkAVXYTmgutaHJa0FQYe1hRbTeldD7pYVkGdpsJdpsJDXVF2LW9Mb5OUVT4/WGMTfjQN+DCyc5RHDk6iBf2dWN4WhkIYjlSXppwYRl1L5yoqMSefmS0kkG8MRNMhtGhU/6la0My8yw+fO0q3LSzAcW29K5EZ8d8eGBfL/54sA+T/lQXm2JrQlBKoqLFozCDS5GiKPB6EkJTfZRBJIN4we50ZnwfciqaOw/3DcRFRQzDYLWzAM8Gx7JcKmKx2VZajFtWNM0oLg1KMh48M4TvHe5auoIRKehFRTxHoqLFZE4OjllA5FlsX1Gadp2iKGjf/+yiCIqSnXiImdDXsBVOxNmIwxiZesQ5ufPBo/jPG9bBxLNQFBXPdI7hvb87lFEUDwAPtQ/izitWpCwf9YZQbBXjAyNqbZZFK7dRUaC5FcXivK08iYoIjaCi4APP78dXL9iEFU5tcFatw4wHrtuEu54+gecHFneQuMAyuK65HLesq8XKotT+I1lR4Y5EUGTS7od3VhdhbYkdx8az3/bZXGgFn9yuswPAsTnsqhTAVwG8BcCbAZyYf+kIglhOkKiIIIh8oDs2UV2ePmKBIPKFm65diXs/sgvCtBvzjikf7mvvxSPdY3kzMpkF8OtXb8L6UkfKur0DLtz5xAkMLqAziJFRAQx4QxjwhvBcX/KNuIlj0ei0oDkqMmqOCo6anVY4MoyWjcGyDOx2E+x2Exrri3HxhU3xdXHB0aQPff0unD4zhsPkcEQsM/TxZ/2T/gXbb0tF6nkPAEKB2b8Hz2eIsgos/vDrC5pLcNf1a7C5qTitK1FYUvDI8SH8dl8v9nRNpIwS12MVE9e9sRCd+xeLIlN6QZvP7Yaq63zRj/jO1CnjKEw/8tMVjqREIxDnDzOtl9NMnTXLgnetbI4LioKSjAdO9uOZgQl0TPlQbjXBIXA46w7AL1GiQbaRdOc3jkRFS0Yu6z+2tZbCJKY/V3d3HIdrYvGFoXTZPQe64zNhKoMi5fI3ipgND7UP4qH2QVh5Fv7zHJD2/WfO4LaLmmCf1l7y491n8dZtdWgu0QQJJJJPpVAU4oIiAOj3L60DDZHbKAA+se8Q7tmwBtvLtWjzQrOAH79yHe5r78X3D3ZnHLAyV5wij5vaqnDzmmqUWVPvdYOSjEf6h/Cz02chKcAfX3EhLLz2279lbS0+8Uz2dTddLj9kRU3bppIJf0TG0TEPXGEJ5RYRa0rt+oi3jQD2ArgMwMGFLzFBEPkKiYoIgsgHemITJCoi8pkf3HsVrrqoIWmEcr83iO8e7MI/zo7m3ejDX127MUlQpKgqnuqewAPHB/F0z0Tefd7FIiQrODnhw8kJX8q6UouARqcFDU4LGqOP2LRVmLmTMklwVJdGcBSLVBuYQseZcRw5PojdL3aR4IjIK/TxZ71jqb+xucAwgMCnbyyayyh2k9mcdnkgvDiiIjPP4qPXrcZNFzagyJZe0HRmzIff7uvFnw72Y+I8HJNYFkkj88ipaPEoyuBU5HElf/f0V4iwnF7EkMmpaCJETuvzQVZVdHt9aLBrHVo3tzTh2cFRBOfgZEYYhzJL4lz+pX2n8Uh3Iq6lx0MddrmEPvpFoPizRUUvlMnl9LNNzcVpl4eCAXSfPr7EpSHSE/syMeiQ0/+9CGNzvoIiQBM+vOG+F/HX23bGHbMVVcUfD/Xj5gvq4tvly4C+haTOlqivqKqK0SANBiFS+cqR43jXymZcV1cNhmHAMgzes6Eel9YW4/O7T6N9bP7thjV2M96+tgavX1GZtn1zMhTG/57txd96BpOW/7N/GK9rqAEAXNNUhu8d7EKPJ7vtD8P+ML5/qBu3b6yHME2w7gpFcGTUg8Mjbpye8mEiGMGQL4RhXwiy7hTlFHl8ZGsj3rSqOrbIAeAf0GLTKMeRIIjzgkRFBEHkA3FRURWJiog8xGrm8eAPX4emusL4MllR8fPjffjR4R4E5fzrRLpzaxM2lBXE54+PefGxx0+gYwGdQAhgLBDBWCCC/UPulHXlVjFFaFRfYEbD+QqO9JFqOxKCI5c7gO7eKXT3TaK7dxI9fVPRxyQGhz1QqGGOMAgcx6BSJyo63p/6O5oLmaLPAMA9NTGrfXGCAF5ILxJxBxZ2ZO3OFaX4+GvWYGNDEdg0I+hCkoJHjg3ht/t7sefs7D7HmgpHkqCWREWLR6b4M+80UZH+75FpNKkjg6hoMkydC/Plwe4+fGRtGwCgQBTwi8t24gsHjuBlFwl385FaqyVp1P/B0YWPSSIWDlU39CGHdS55x0xxz9nEZuJRXWJNu66/q2NO0bbnS77FnzEMo9U/GAYMy4IBAxUq5MjC1Wn95mJ4FeouIYATo15c8d1n8cXr1sAqcvj+s2cwFZT0Th9J53tCo60w0S4fyDDwgCAA4L5TZ/DylBsfXdcW/121FdvxwGs24cHTw/jewS4MzyGyfXWJHbeuq8UrG8umR4ZBVVX0+QK479RZ7BtLH7f2s5NncV1dFQSWBccyeOuaGnz1xc7Zf8AF5seHe/Czo70oMYvgWQaSosIfkeE6z8FirrCEf3+hA3sGpvD1y1fHjk0FgN8DuBwAWa8RBHFOqJZMEEQ+EBcV1VSQqIjIL5rrnPjjf98Ah66TecgXwl3PnMCh0YXpwM5F3rSyKj59YtyLtz50GN4INUgsJSP+MEb8YewdTO24igmONLGRGQ0FFtSfh8NRWFbgLLBgw1oLNqytSlkficjoH3Shp18TGnX3TKKrdxJnusZxpnuCBEdETlFZ7gCvcyA43D07oUwmKpzpnYUURYHPMzWrfdkc6UUdADDunb9bzK62Mrz9kibsXFEGh0VIu03nqBcP7OvFnw/1Y9I/t3aqDbUJUa0nEkGIHFkWBRZAQSanoqnEd09k2SRRUbr4M4ZhYC0oSFkOkFPRQvDU4Ai2l5VgZ3kpAEDkWHxp20Z8ev9hnCBhUd6x0pkQsLrDkTl1sBBLhz4eMpKHgz9yCZPuviOUo/eKdWW2jOuG+rsW980NpioyWSyw2BwwW22w2OywOZyw2BwwmS3gRREsm975S5FlBAM+BHxeBLxe+H3u+HTQ780o3NLHicZcr3qYkgX/XIRx6XcHcetvDyQtK7Qm7nk8kcWPkzYauyoSTl+9PhoUSMzM8yNjOPrMFP5924a4CyvLMLhxZSWuay7HH04N4udH+zDoO/eglIuqi3Dr+lrsrE6N4FZUFccm3fjByx3o8c3s8CkBeG54DFdUlQMAbmgpx7f2n0FYzv6FNCyr53UsZuJf3WNwvnAaX9i1MrboIgCfB/CZeRaPIIhlAImKCILIB+KiovISK3iOgZQDFT2CmC+X76jDD++9OqnT+sCIC3c89TImgvk7gKDKKsKs+8yfeOIkCYpyjJkER2UxwVHU1ajRacG1LWUAELcOz4QgcGisL0ZjfarlvD8QxsmOUXScGUd37yT6BqYwPOrF2IQfLncAPl8YXh91suU6LMvAbOJhMvEQBA48x4Lj2CRnG0VRoSgKJFmBJCmQZRWyrM3LkvacCwKz2upk9zh3YGEalSsKLWmXB3xeKLPsnCwozBC3EVHgmaVTUXWRBZetrsBFK0uxvr4I1UUW8Bl+06GIjIejrkR7u9KPAJwN2+oTDYPDAYr5WSwKRBGZztJ6pyILn2hGkBUFspr6e7Q5HOC49CLTSRIVLQjfaj+Bd0RjAwCtAf6zm9fhbU+9kOWSEQuN3pVUZFmwDJADl0EiA0k6Dvo7LSq15QnBzpg7N10MK4sy1Ov8XgT9CxOdez7kwleR43mYLTaYbZpoyGJzRJ/tsFjtYDPUG84Fy3Gw2gtgtRdongs6VFVFKOBHwOeFZ2oCw31d8Eyl1k0VqJAEK3ola05H6RHZR39ev6GhEk8OjGOc6rYAAIfAY2NJYlDL4/1DWSwNYRTckoSP7jmAV9dW4ZYVzfF2QxPP4uY1NXjLqmo82TuOP58awu7+SUi6HyHPMHhVUxluXVeLVSWpA80lRcHukTH88PgZeKTzb6+57+RZXF5ZBoZh4DQJuLS2GI91j8//w+YIfzg1hE3lBXjdisrYonugORYdyV6pCIIwAiQqIggiH+iNTbAsg4pSG/qHvdksD0HMm1tuXItP335hkhPAQx3DuHfP6YwxI/nCRdVF8c/tCkVwfHzpGluJ+TPqD2PUH8Y+neDoewxwTbMmLOqd9OOpjjG0ltpQ47SgyCrCKnLg0sQl6bFaRGxeX4PN62sybiNJClzuICZdAUxN+THpCsDtCcHrC8HjDcHrC8Prjc2H4fWF4PWG4PFFp31hhEL5O9rQbhVhs4lwOExw2EywWkXYbSKsVgE2qwlWswCrVYDFHH1YBJhEHmazJgIyiTxMJg6CwEMUOIgCB0FgwfMJcRDHMXGREMcyYFktpiAmGmIWsJVeigqM5Kj4SFEUKIpmQ68oKlRFhaKqUZGSCjU2rapQFACqClXVtldVrdNBVREVLCUvU1XN3D42D1XFlo218bJwLIOf3b4zun9tJFzsdYBuHqn7VPTvA6CpzIZCm+YWEysfVKCn242h6Gh3fWO2qgIiz0DkEx0xMSv+i7atRHNrZXR7NdoJrcIblPD9Wy+AoqiQo8dDVlTIigKWYWA18SiyiSh1mFBaYEaBhQeXYXS4ntMjXvw26ko0tYDxam0VCZeOHi/V8RaLogwuRYqiwOtJuN+YdZ1+4QxCN3uG6DMAmArnrzB6KZFUFT892QlfRMIbm+sBAFaeR5XFjMFAbnauE3Pj5FTCndTMcygQBUyF6HeUq4R050WzODeRBHFuqktt2LiiND7/7PHhLJYmM+UZHCi9rtm5T84Ffa1bWUCFm8XugMVqg8ligyCKkCUJkhSBqihgOQ4cz4PjeJgsVljtDpjMVpgsFghi5ojfxYJhGJitNpitNhSVVaB+xWq4JsbQf/Y0ON4DNeZipAKjQhkYiRRFxMz888QIXr9RE3Q32K346aUb8dEXjqLbSwMfrqwujce1KqqKxwdy87xM5CYP9w3iXwOD+ND/Z++84yQp6/z/qerqHCbnPLM57wLLsiRFUEBcgigg3qmH6WfE7J1iDoecCseJoCQ9MZwRJIhEEdhdwi6bw8zs5Jx7Ooeq3x890/XUdNXs9EzPVHfN9/167U51dZhnuqurnuf5fp7PZ+1qnFdekow1NfEcLq4rxsV1xRgLRfFM5zBe659AhdOKd6+uQIUr9TobjMXxt+4+PHiyHfOZ4RuLRDEYCqPMnnjti2qLDSUqAoDv7mnBtrI81HrsQMK0+E4AbwZANpsEQWhCoiKCIIxAGEA/gHIAqCx1kaiIyGl+8KULcdXFK5LFd1GS8ON9bXjwSI/OLVsaiu1yUXMkg0VpQj9KHPJn+uKpEdzy+LGUx3hsAs6oycemSg9WlrjRUOhAmdsKj80Ms4mbkxhFEHgUFTpQVOgAMD/r+mg0nhQYsUKkSb+2KMkfjKC81I3hET8Gh30YGvZjZCyAWEyj2O6woKjIifJSNyrK3CgqdMJs5mERTDBbTLBaTLBZzUkxj91mhsOeEPrYbGbYplx+pp1+BCHxTxbzJH5yPJITMZkU82QL0393tnDh2rLTP2gBTPREUZanvtpdi9UNVSjScD5aXakt+kiH4/2TePbEIP52dAAHe1LdyzJBqVsuQg2ESCyxWORb1Yt9fq9XLroh4ZQyTUTSEhXlq+6fiERVnY2I+WEzmXBWiexIFhNFEhQZkO2lcp9GlCQEY+Tgmc2wn4/Tph4NSiycz9+4JemYGIuLeHh3h84tUiffpXFt9aUfZS6YLTCbLVOCeGlKIK/8h6n7JFEEx8nX6/mIikxmM2w2B+wuN1yefHgKi5BfVALBrC5CzhXyCouRV1iMqzeUoLm5GUePHoU06EdLPDN9Y8LYfO4vh3B2XQGqp8ZYhVYL/n3LSnz0RTL42F4iu8u2TfpImUCkTUwEfnzkBH52ohUfXbMCO0qLFLGyBTYzrl1VgWtXVag+fzwcwf+1dePhzt4Ft2X34AiuqkssatxZqT62zWUCMRHf29uCuy/ZOL3rAgAfR0JcRBAEoQqJigiCMAqdmBIVVZSm2l0SRC5gEXj83527sJ5ZcRmOi/jyP4/j6U5jrYiYDZdF7p4EKfbMEJQwQrHucfUVfN5QDM81D+O55uGU+/JtAi5ZU4btdQVYWexEmccGj02ATeDBc3MTHM0Vs9mEgnwHCvIdC34tSWPy3ogCn4XCvlf0/qgzOjqa1uM5jkN+fmYnvyZDMZwYmMSh3gns6xzHnrZRDPnCGf0danjs8nVhkOLPFg0tp6LJCaVYzMyKitJ0KhoNL/7xslxwmwX81/atKLXLq3OPjC2OsI/Qj8+sX43zy0uSt9smAgonHCL7YOPqrJbsET8bia2rirHrvIbk7Yf3dkJDy687Tqv61Hs4GEj7tc656O1puf1cf0FjcoHB348NYGgyITqVZlheJtwzZZESx3HgTQL4ObhU5jI2mw2bNm3Cxo0b0fzwawgfSK+vTSxf3nTnC/jvd27G5esS0UFr893YWpSH/SPLux+2rkCej987tHzmMInM44/F8MPDxyEAuKahBlfUVMFtURdqS5KEvkAI9zW3Yc9g5s7jj3f1JUVFJQ4rat02dE4aa/HGP7vH8FT7EC6pT441/gvAbgCv6dcqgiCyGRIVEQRhFDoBbAeAqjISFRG5R32VB7+/cxfyPXJhaCgQwaefP4pDw5OzPNN4CEwMVozcDAxBEeNU1Daa/gT6eCiG37/Rg9+/oe7W5bTwKHXZUJ1vR1W+DRVuG0rdVhQ5LXBbBTitAhwWExxmE6yCCVaBh9mUiOcyZcDJJxaLQxBS4y2yXRwTj4sIhWOIRGIIh2MIR+MIT92OROIIhaOJnxHmMZG44vHT25Hp7an7I5E4ItHE7U9/+Hzs3J4o/IwFo7jmd/vgDccRjMUQiomqRVybPDYAACAASURBVCAegE3gIfA8rAIPm8DBYuKT/6wmHgLPwSIkbtumPk+e42DiAQ6JzzaxDzDxPExcwjqbRyIu1cQl7uPAgeOQ+IfE52biEvt4jpvaN3Uf81ieAwpsFtjNPLzhWOL3Tb8m83P6+crX4hQ/p9thE3hUuq2YPnSmjyAOHNp7B+CLKM27OQBOi3JINzgZAgfAnZePjrEg87umnsNxaBv2IxIXk+9Z4v1IvD+iBISicXhDMQz7wugZD6Jt2I8Tgz70TegziWYxyUWtIXIqWjTyNURFvhmiIhNzbouI6lVct4aoaCwSmWfriJm8o7ZKISiSJAn/c+ykji0iMolTEPCjs5Wisbgo4b8PtOnYKmIusG5sfJb3BXOVT1ybXFWPYDiGLz34qo6tmR2rWT0CLxZLz5HXanekHR/GHn2xuJgcm2T7GGWp4TgOh8Zo3oGYOzER+NjvD2D/FwpRMDXXcUNT1bIWFdW77CiwTkd4S3ihb0jnFhFGoCnPjWqnE3aV+TZJktDlD+CHh06iZdKf8d/dEwghKorJBTXrit2GExUBwLd3t2BrWd50aoAFwBMALgZwQNeGEQSRlZCoiCAIo5D0uq4sderZDoJIm7edV4/bv3qRIsbn2KgPn3z2CAYCy6/4Nh6SJ1jzrBQZkOs4zSY4mcn0U0OZH+z7IyLaRgPzEixNU+gwo9RtRZkrIUYqclpQ5LAgz26G22aGxyrAZRXgtCbESTZzQpzksZlVBUVzZcIbgncyhHhcRCwuIhYTEY3GEY0mRDmh8NS/UBTBYBSBYBShcBShUCx5f0LskxDyTG+Hw7EZYqBpodD0dgzx+NJMnr/vujOT20eGfGgdO73TjIiEHTMgAsvoNLi9Kg9Xr0mNUYtFI9h7qk/1OWdV5oGfEmO2DPkw6k+8YaW2YuxpS12pJ4rA1x87iriYG8WTfLugKH55SZSyKFh4XlNUNDk+rrjNn0ZUxHEcHB6P6muNhunzyxR1LuWY59etHRgO0ftrBMpsNvx4x1bYBXnKbjQUwTf3nsRLfWM6toyYC+z1ledJvJFpygsdOH9zZfL2nY8eg4a+NSsQTOrHgCim58hrMqU33hB4pZurlrNgNhKMxDESiGDEF8GQL4wxfxS+SAyRmAhRkqb+AaIoQTBxyLdbUOhM/CtyWFDksiDfbsZs2im72aR4f1qHMz9GJYzPXS+ewlfeugYAcHZpAVZ6nGj2Ls9jqc4tOz1HRYkiq4l5w3PA+WUleHtNFVbmuVPuFyUJrw+P4X+OtmB4kceW4+EISqYE/k15C3czz0ZGQlF8/vljuPdtm6YX+RYD2Avg2wDuAkCDD4IgkpCoiCAIo5C0rygpNGYnjzAmX/jQWfjQuzcpJrSeaBvC13efRDBbPdwXmXavLDgod1rAc0Cma98WHnjvhioIPIdubwhdkyGcGgvAv0zf88Wk3CkXqSVJQsuIT8fWaDMaiGI0EMXxgfTa1/zVS2CeclF570d/hZdfaYfTaYHDboHVKsAs8MnvdywmIhZLCHv8gQh8/jCWgxlXY70c6Xh8ODs//2yhzKm+At3vVV/1auI5RcEkEJELVK489eizIV84ZwRFAHBmXWFyOyaK5HSzSGwpLNS8b2JMnkcUeF5ZpFSp5Drdbs3i5xiJijJGjPkeHx2fwB/au3RsDZEpap0O/GD7FliZ79ArA+O4ZfdxjITSczYh9EEEiYoWk52bypPvaywu4u4njuvcotkxm9QjxOLxdEVF6U3hF7iUfcpQNHvGuaIIjAcjGAtEMeKPYNQfwWhA/pluW3vGU8ULJp5Dvt2cXCyyrsKDphJZjFvgkBcvxeIixoLUPyHS5+e7O/CZN62AY8o59l2NlfjeG806t0ofCphoqlCa5zeCAAAzz+GC8lJcVVeNamdqbScuSnhpcBh3HG5GaInUxEMhWVRU5bad5tG5y6v9E/jyC8dx6wVrYEr0sawAvgPgqwCeB7AfwGEAzwLo16udBEHoD4mKCIIwCskOTXGhXc92EMSc4HngFz+4HDu2yKss46KEO/a344Ej3Tq2TH/29I1DkiRwHAebYMKKAgdOLsCBRo2nbtiuOiCUJAnjoRhufOQATo5l9ncuVypcTGyHJKlGXeUyJqZY5J0MJWLAxoMYGz+9G89ygOc5NDCikFd7lq8l/FyocKuLinzj6ovD8q2yi48oighFWVFRgepz+r25tWp0U5UcozUUCiF35FC5RZOGs1AoGERgUo5htTNCB1GUVAVqLo3oMwkUf5ZJ2nw+7CxLiDab3BT/bBS+vm2DQlD0x5Y+/OD1FiyRuSCRaehzyziNlfL1qmcku8drHAeYNJyK4mnGn/FpOhWV5MljsEAkBjHDKxkkCZgMx+ALx2CeiibmuISDRCgqIiqKCEbiGAtEMeqPYCIYxUQoivFA4udiL6yIixJG/BGMTDl47m4bRbHTgrMbCnFGbQGKGdFV90Qo44uYiNxC4AGXRYDTIsBuMcFunv7HwzblUmwzJbYtApd0LbYKPPyReFJU9KaKItx6oHlZXrPDjBuaQIJaIg08ZjMura7AZdUVyLemOuf6ojH8rbsf/9vavuTziSPhcHK70GZsJ/0n2oYwGYnhO+etQokjeY20Abh06h+Q6Nk+COBmAN4lbyRBELpDoiKCIIxCUlRETkVEtlOUb8Nffno1ypmVct5IDF984The6iVX0YlIDOG4CNtUpNSHt9Tg88+eyNjrf/P8FZorTDiOQ4HdjC/saMCHnjiSsd+5nKlgJmyDEeOtWGOny/zLMK7wdNRU5sM6NckqSRJe6hw/zTOWN+Uu9fgp34T6++a2ysO5YFT5/XJ51J2Kck1UtKpUFksMkY3+olBqsynEQiy97e2K26zYISKJqvVyLZcsbyRKRbsMcmxMnsc18+pOGETu4TYrCxb3H+1clsXJXIYDFVMXk+J8eRHZcJb3abRcigBATNepSEivmJnHuMVOhmJpPXcmogiMBiIY8IbQMxFCx4gfXWNBhWNeLjDsj+Cxw/146tgg/vSRHcn9LUPkpJrNOAQeX33bGmyq8sDEcxA4HiYTBxPHwcRP/0zE85p4DjzHgecw9TPh6spN7eO4xDk68VOGmy0rLw2sJhPKHTb0+LP73LQYjEZkoST1S4m5UG63YVdtFS6qLFOMMYHE3FF/MIQHT3bgxcFhnVoITDDHtdti/FL6iz1juPIvr+P966vxrtUVKEgVUnEAPgBgC4AdAGgSlCCWGcY/ExIEsVyQnYoKyKmIyF7OWF+GB39wGWxMIbhtIoBPPXdUEfu13Hm8bQjXrCwHAFy1qgy/PtqHff0LXwRRZBNww7qK5G1vKAqe4+CyKrtEL3eTuCtTsPFnEwuc0M52wmFj/33zoamhKLkdlyR4I/QeaZFnFWAX1IUdPq+6qMhpkR/PRp+ZzGbYHE61p6BvIrcmuWsLZLH4IImKFoV1+eoiIFEU0X7ypGKflSkSROPqS0ULSktU948yKz2JhROIy+dTkjAYh2PjE9hUKDvN3fuWzXjvk/sxQdfPnCS3JBe5gY3p+/izfGxhNWu7C8Xj6bVdK1YUAO545GhSRMFNiSjW18rX9kM9E7j3pXb5WsFN/5DFFdPiC57jIEoSonEJoWgcvnAM3pCxRMGRuIhqRpy2r5sWPWQz/7lrA3ZtrDj9A7OEXIqZJgg9aHK7cHV9NXaUFsM0Q9AnSRK6/AH8/EQb9o3of24OMuNd2yxCYSMxEY7hjn3tuOuNDmwry8O2Ug/q8uw4uyIfpbKD0VYAnwZwm34tJQhCD0hURBCEUUiKiixmE/I9Vox7qXBBZBc37lqLr31iJ3jGCvil3jF88YXjVGifwbf3NuPyhpKkW9Gtb1qF9zxyEEMLdILZtbIU/NSgNRCJ47Kf7UaRw4I//dt2CFOF0vbxAB441LuwP4BIwjoVjfiNdV62CbxiVWOYvscpNDUUJ7eNLipbKOUu9egzAPBPqAsdrczEVoCNPtNwKQJyz6mo2C0LE8mpKPPwAGpd6tFZfR0diugzADAzRc2omCoq4jgOBcXqoqLBkLGuAXojcMtjYnu58e19h/FfZ29DnTshDK1w2nDHhevx04MdeGVgnEQqOQCJ/BYXtv6Y6UivTGM1a5+nY9H04s9MJvUpfG8giiEVwXg5I8o+0DOBU8P+tH6f0bEz4rRmcirKajZVqUf0LjaiJCEmSohJEmKiiKgoIS5JiIoiYpKEqJi4f/p2JC7iud5h9AeXZ3+XPdtl+amZ0Ikthfm4ur4GmwpT5ypEScKBkQn89HgLegLZM+YXmE5HbJkd2FFRwt6+ceztS4i7TBxw24Vr8baG5Fj/MwB+CGCJQ+kIgtATEhURBGEUxpGwXLQACbciEhUR2cTXP3EObrxynUKA8OCRbty+r40iDVSIicB397biWztXguM4NOQ78NsrN+OWF5rRMhbASDAyr/etxiOvSGwe9mHEH8EvbzwjKSiKiRJufORgpv4MAkCZUxZK9OWYmOF0uG3KrnSQRDMpNNXLoqI+H12XZ6PCrS4qCgX8moUnEyNSZZ2KtOKngpE4vDl2nHoYy+1hEhVlnFK7XTFZytLR3Jyyj11NGlERFXkKCiGY1SNa+gLkyJhJ6t2yG1kozRgdInuJAbh57z58Y+sGbC5KOBZtKPLgJ2/eiKFgGL892Yvnu0fQORkkgVGWwgp+w1H6bmaaXIqXy6RTkWBWj8gNacRLFzL9yuP9k6qPWc6w8UyjgfQEXsTSwjN9z4OjXhwe9U4JfRIin3hS/CPK+6bFQIwwKC6KiEtICoRYcVB0at/0fTFJpHm6NMmdMzOxlPAccG5pCa6ur0aDO3UhS1QU8Y++IdxzohWBWPZpU0w5JGRebOIS8J09LXhLXTGExDxUBYDtAPbo2zKCIJYSEhURBGEUJCTcimoBoKTQgZYO/W0yCQIAHvzBZTh3W1XydiQu4hu7m/HXU4M6tir7+UvrAC5vKME5lYmCSl2eHb98xyYAgC8Sw4tdY/j5gW4cGJz7JGkZE8U17Ivg3y9ehaaiRFFOkiR89+VWDCzQDYlQUuqQ3/POMWMVlPNm5IuTU1EqK5j4s9bRgI4tyX60nIp84+ouRXYzr5hkD0ZO71SUi8I+qyAXfcipKPNUOByq+6ORCMaGhlL2n05UVFRepvp6cUmi+LoMw64IF3hyLTIa39l/GLefcwaqnPJ3tMRuxSc3N+CTmxswEY7iL6f68avjPRgLU0E8m3AwQhISnC8u2V7f0xIVSZKEeCzN+DNBfQpfTbjmcQjTBT8A5MSjBqunHvHT+D+bYfueuwdG8evWHh1bQ2iisUiBWJ7YTDzeUlmOXbVVKLXbUu4PxmJ4tKsfv2puRzb3lNiFwfFs73QsAaOhKPYPTuCs8uR80w6QqIgglhUkKiIIwkjIoqIC+2keShCLj8Mm4JF7rkZdVV5y31goik8/fxT7B706tix3+PDTh/E/F63DhdVFiv0ui4BLm0pwaVMJ7tnfiVf7JmA1mWA1cbCbeVhMJthMPGwCD7vAwyaYYBV4XMJEMW2ocOMtq+SIlrgE/Ol4P4jMwjoVnRoxlu2+26rsSofD2Twdog+NjFPRAVolPSvlLvUV6L4JdZF0PiNqi8QTK3OnceUVqD5nIMdcHPPtgmIibzScW+3PBYqt6mK2kYEBSCoTp2y5QC3+rLqxSfX1+oNBiDQPm1G6GecnM8/jv3dsw+dfeUNV7EXkHjEAn9j9Oq6oqcS1DTXwmM2K82Ge1Yz3ra3Bu1dW4qcH2/HrkxTdmy3YBVlI4idR0bLGpiEqisfSFwIKgroLoJqo6OxVpcnzRSQmostgCzsWisem7F/6aWFIVsMuoqC+ZPbCjhEk8lJcthRYzLi8phKXVlfApeJeOx6O4DenuvBoV58OrUsf9vxDmqIEx0Z8rKhog55tIQhi6SFREUEQRiKpBiguVF91TRBLRVWZCw/ffTXyGNvxdm8AH3vmCLomaaV+Onzi2aP4wPoq3LShBh6LcgIQAD6ytRYf2Zr+65a5latlBJ7Dr6/cjCv/uH8hzSUYLCYOhXZ5IuHkoLFWydqZQkE8LkKkWU4FHrcVpcWyxfXubnXHHSJhC17s0BIVjarud1kYJ4QZxRCnJ2/mwwEA/TnmVHRmXWFyOyaK8EZoJXmmKdAQFY0OpropWk0mxTU4EleKV0orq+DKUz/2unzkVJZpjoxN4I2RMWyZisiqcTlxx45t+PjLr4FkRcbh0a5ePNrVi0a3Ex9Y1YhVHg8sTLyWXTDhs9uaUGCz4CcH2/VrKJHEznw+gRC5SGUaE5NFEs/yvrfFrO4iF0vTpQiYzako9Yy/rka+FveMB7P+fVpq8uwz3GZV3kMie2DNGMkpJHvhyahoWVPrdGBXXRUuKC9VxEsCCXe+vmAI959sw+5B9bmNbIX9S+j0k2BQ6e6vbpFNEIRhIVERQRBGIpnRUJifaq1JEEvF9k3leODWy2BhBAev9U/g5n8cxQQ5mcyLB4704IEjCZvrYpsZH95UixvWVGb899R4yOUsk5Q6lMXq4wZzqjExM2ckKEplBeMMJkkSjgwZy6kqk5Q4LAprf5bApLqzHeuEEGCiz+xOl+Zq9lyLP9vGFMWGQiESSmQYE8fBqVGk9HlTjzu7ST7mYqKY8nms2bZN83e1TdL3fzG4/cgJfGXzeqzMcwMAyh12fHB1E352olXnlhGZ5tSkH7e8fggAUGSx4KPrVmJbUUFyBfW/rKnCg8e64FdxLSGWFjb+zBcgUVGmsTGi6nA0u8fWFkFdVJRu9Bmg7VQUUvnOlxfIi+yGfOTyOJM8m7LvE4rReTObUToV0ZibILKJzYX5uLKuGluLUp2SJUlCq9ePu4634sREbs4FsgIpNZfe5cgMAaF654QgCMNCoiKCIIxEUlRU4CFREaEP1719Nb716fPAM73sv7YO4Ou7mxEl0UFGGA5F8b1XWnFZQwnyrfL4xReOIRoXEY1LiIoiYnEJkbiY+BdL/AzHRITjIp5rHsaLbSN4z7ZqfHRnQ/I1YjRIzCilTtl5RRQlBGLGen/zmVWuIRIMptDEiIoCtAJ4Vkqc6i5FoijCryEqsjAr9YNMQcnpUV8sJknAYI7Fn60p9yS3+4IU3ZFp3GYztBYV+1VERTZGVDTTpciVl6fpUtTu82MiSoX1xWAiEsVXXz+Ir2/dgHUFiff/zRVlJCoyOCORCL77xhFcWlWBj6xdAQAQeB4us0CioiyAFf36guSwl2nYhTuhLO9fmjSsOyQp/XbzJvUotVg89bVYh6SwwcZfmcDDjOHiooRInOZpshn2a0RORdkLpzmqIIyGwHE4v7wEu2qrUe92ptwflyS8PjyGu461YCiU2/0ggTkB0Zx+grVFLvbmCb3aQRCEPpCoiCAIIzE8vVGQpx7lQBCLyVc+tgPvu3q9IhrkJ2904O6DnTq2yrgEovGkqOhHz7fgv/95Ku3X+M9nmtE5FsT33r4OAFKi1YiFUWKXhRIzC9BGwGll4qco3iIF1qloOJDbk0mLTYFNfYFX0DcJSUPsyK7aZZ2KtKLPRgORnPse1jFxtgMkKso4HrP6cSeKIgL+VGchC7NSMzLjuMwrLJz58CSvDeWWzX2uERFF3HuyFT86O+EUZRNM+NLGtbj10DGdW0YsNtc11ia3uyaDGAjklnDUqLjM8lTraI6JeXMBVqgTzXLBDK8xttTq282GVsFeLdrMbpGPQTUno+VOHtPvDtL7k/Ww3yMSFWUvNJVmfByCCW+tqsAVNZUosqXWXcLxOJ7uHcT9J9oQMsiCTQs5FSlwCDwurC5id+3Rqy0EQegDiYoIgjAScvxZHkUYEUvLgz+4DOduq0rejsZFfO3lk3i0bWiWZxELwcVMlo745y9YmGQcZmwmdYt6Yn7YmVWyuSZmmAtsvEWUJqRTYJ2K2sdJEDIbBXaNSIuAT3W/w2xSiCDZlfouDaeigRwsbBa75MlKI4qKBAAXVVbCpSHuYVmo6FVSKcKU2myocqauLp30elFkSXXPsjNRaTNFRQ63W/X3DofDGA7n3rGXa7RN+vHa8CjOLE6Iu3aUFeOS0TI81TOgc8uIxWJbUQHyrfL39M4DbTq2hmBxMv3D4Yncih3NBdjroZqgJpvQunZLSL/dHK8+TlXTWDisJCqaDQ+JinIKjkRFOQF7tqOPyVgUW614R20lLqkqV4wHpxkPR/D79m78paNXh9YtLor4M3K1w5Uryth50AkAj+vYHIIgdIBERQRBGAlyKiKWHKdDwCN3X4PaSjmiZTwcxWeeP4bXBiZ0bJnxcTLRAp0LECz0e+XJfqtAoqJM4mA+o1iWT/rPhzK3HLU54TWe4GGhrGRERUeH1MUxRIIiTVFRQHW/y8II2uIiRGbm1uFSF3cMeHOvsOlg/s7hUO61/3Tcec45cKuId/Sma3wcxbbZo4RnrtR0ahx3ExFycVsqfna8BSu3b0He1DH1/hWNeGVoBBMRiuc0IpfXVCa3m8f9eLZ7RMfWECysU9EIiYoyDrlhzCR1jEXxZ7PjtsvfUXp/sh82/ozEKtkLxZ8Zjwa3E1fWVuO8spKUOE9JktATCOK+E214ZXhMpxYuPgLHOhUt7xOQ1cTjpo017K4HAVBHlyCWGSQqIgjCSCR7sW5n9hVoCONRX+XBn35yJdyMk0K7N4CPP3MEnZPUr15MVuQ5FIPatpHUmJa50j8pOyhwADwWAV4qwGWEYod8LvaFjfeeVuTJRffh0fkfg0bELPCoq5HjkPb2jOvYmuyn0q0u4IiE1MVqdkYAGYkpV1jbHKnOMwAw7MutCDqeBwTmPG80UVGNw5GVgiIAmJg4vShanFHVcXg8qo8jUdHSMRQK457jrfjiprUAAIdZwP3n78D/nerA79q6dG4dkWmKGJeiA0NeHVtCsJh5DlbG+XRgTF0cTMwftqwpLqMCn5rjYILUQj47TiZnl1ScjOMxORXlFuI8XL6IpYEVfNKnlNtsKczHVXXV2FxUkHKfJEk4Ou7FXcda0e4zfh9HeVwv7yP73asrUOFKzltFAfxYx+YQBKETJCoiCMJIJGdTSVRELDY7tlTi/u+/DWbG3v7V/nHc/PwxEqQsAdetrkhu93lD6F7AKuDeiRDCsTisQiJO6OKGIvzpBMWFZIJSRlQ0uoCIumyljBEUDg2TEw9LXU0hhCnhiyRJ2NNFoqLZYJ2HWEIBdbGahRUVMTbcPM/DbFF3axwP5tZ3cFWJSxF3MGKwCK2NhYWK2z1+/xymKec7kckx/0/t4QC3YAbPcSmv2js8jFBcWWQzcxxMjP17YMb9To34s4lIbh13uc6ewWG8MjSC7SVFAACe43BdYx2e6RvAcIg+CyMxEAyh3u0CANR7KPo7W2BdigBgcJScLDMNzwhmZgpcsw0tIdC8HD20XkvlpRSiomUkvJorrBMmxcNlP+z3hQ7n7GWGj41OrSDmi8BxOL+8BFfWVaPOlbpIKSaK2DM4gp8ca4U3unzmvFlhrmmZWyVuKlGM9/8AoEOnphAEoSMkKiIIwkgkRUU2qwCzwCNKVsbEInDjrrX42id2KiY0/9LSj2/uaTFkxFM2cllDSXL7xVMLi3uISxIO9XlxZk1iFc7lTcUkKsoQpYzAc2DSWIIAAChkRFNDC3DLMiIrmOizqCghQNdjTQRee3Iq5FcXq7EuCBHmvTVbtSOrcs0tbHNVfnLbH4shGDdW0aeJEeEcGx/DbYcOLOnvN3EcbmxaqXrfvu4uDPkmFfscJgE1roSAQZIkRX/HYrPBrOG6RE5FS4sE4IeHjuOGxjpcVV8NAOA4DmvyPHgxNDz7k4mc4uj4BM4uTVxra9wkKsoWHMyCE0mSMDRuLJe9bIAVHGe7qIjTqQDJs+8RdcFTYEVFFH+W/SicQrL8O7+cWd5yi9zFIZjw1qoKXFFTiSJb6uKkYCyOv3X348GWNizH06VIoiItLgDgAVOLIwhieUCiIoIgjIQiq8HpMGPca7wiNqEv3/3seXjXZasVE4S372vDfYe7dWzV8uK8ygLkWc3J27/Zv/D3/sVTo0lR0faK/NM8mpgrrFNRzwLcpLKVPLvclSanIiVNjKhoPESigtlwmtVdigAgElb/3pgZUVGYiT9zuNTdYgBgPJhbn8PaCvlvGQoaz+mhyimvAO3RcKRaTNxms+Z9gcnU8xl7zM0s4mq5FAHAODkVLTkRUcQvWtrw5spS5E2Jva5vrMOLAyQqMioWxkWM0BeHoH1NJzIDK5iJx7NbYKBVf5yPGIrT+J6rRcBR/Nns2M0kKsol2O9Rln/liSnoY8p+iqwWvKO2CpdUlcMhpJaIx8IR/K6tC3/t7NOhddkDe73mZ1kMthw4ODSJyxtLp29WAegGsBeAFYADgB/AHwE8CBIbEYRhIVERQRBGQlEBcZGoiMggPA/89vZd2Lou2YFGOC7ilpdO4on2IR1btvz43JkNye1jA5PY1z0xy6PnxmPH+nHzhU0AEiuMr1ldRm5FGaCEERV1jBovb91hYURFIyQqYlnRUJTc7qFr8azYBO1icFQj8svEzGdF46xjjLpbhS8cUzwuF2gslkU3QyHjiRILrfJK0N7A0p8ftURFoigioOKQZeHk4zQ2o0Dp0BAVhUURoTgV6/Ti6Z4BvLOhBgBQ5XTgVxeeg39/7QC6/Ma7Hi83eADXNdYlb3f6jCe8zFVYUVG2u+jkKqYcij8zaRQgpXnYB2m5Hqm9ByZGCByj63AKNkZUFIoZywnTiLBHvkRyFYJYEPUuJ66sq8J5ZSUQZohVJUlCTyCI+0604ZXhMZ1amF0o4890bEgW8KujPVhV4MQ1q8qnd7kBXDzjYRcAuBnAJQBal7B5BEEsEbSciSAIIyECSGY1uBzqMQwEkS6FeTa88JsbFIKikWAENz15kARFS0yV04qmPEfy9oOvdGbkdZuH/HitSx40f2lHxsuCpwAAIABJREFUwyyPJuYCzwHFdvk83GJAJx9WDELxZ0rY+LMTw/TezMZs8WfxOUR+xZkV6oKg7T6Ta1QXyAKpQQOKiuwmuaDV69fDqUi9nxz0+1WjJczMpHN0RjHUMRWLNhMvRZ/pyp4hpTOR0yzg+2du1qk1RCb52tYNilXlDxzt0rE1BAvrPhinWOxFgdG4IpblgmleQwg0H2EEr+FUpHacmZnKZ4RERSlYGNEVfU+zH1ZQR85bBDE/NhXm42tbN+DHO7bhTRVlCkGRJEk4OubFJ3fvx0de2keCIgaFU9Eyjz+TAHztpZP4yf6O04m6GwC8AKBsSRpGEMSSQk5FBEEYDS8SSmm4nSQqIhbOxlVFeOhH74DdJl8ym8f8+PizR9DnJ/eNpeZbO1clJ5VGAxH85XDmrHh/+lI77rs+EYFWZLfgc9vr8cNX2jP2+suNAptZsTr35JDxREXs30fxZ0pWNJYkt/f3k/PxbGitPAcApDlxrlVwsuVgHEuxU3byGTBY/FmNw6H43LPJqSgwOam6XxG5N6NA6dSI3SNRkb60eH24+1gLdtVVodKREOk5zQJuPWszvvTqAZ1bR8yXIosFmwrlqN6nO4fwYu+oji0iWFinoliMit+LAVvUy3anIs2olPm0W0ugpPJSAnPNjmS58EpvsvwQIjDDqYg+L4KYMyaOw87SYlxVX41Gd+oikLgoYc/QCO461oLxSEyHFuYA7LWXzj+QANz1RgceaRnAhhI33BYBkbiIaFzEGWV5uH5t5fRDKwF8G8CHdWssQRCLAomKCIIwGl4kcl3hchhntT6hD1devAK3fuEChX34P7pH8MUXTiBANtlLzvlVBTirPC95+6HXuxGOZW7l5TPNQ9jTPood9YUAgI9srcHf24ZxyIBimKWAjT6TJAlDvoiOrck8ZS6LQhRA8WcyZSUuuF2yIOTFTip2zsZsBTGO54DTXG44RXFN/Zwo5KBXt8MqF2aN5lS0obAwuT0RicAXW3rxjZaoyO9TP5eZGWuIIpsVBVb5HH/pqiaUlspujtMTrhdVSPjg6iZNRwaJeayU8r/8IElxk3mM4rlK54fp+7v8AXxr3yEs12nyJ3v68GRPH/7zzM1Yne8BAKzK82BHaRH2DI7o3DpiPlxeU5k870+Eo/j2q806t4hgYUVFURovLgqK+LMsd5nRij8T5xN/hrnHn7Gioig5FaVANeLchY5mgjg9NhOPiyvL8Y7aKpTabSn3h+JxPNXTj3tPtiGDU6qGRBm/SEzT7Quh26eco3m8bQg9vhA+d1bj9K6bAHwTQM8SN48giEWEREUEQRiNiekNFzkVEQvgSx/ejpvetVFRrP3l0W788PU2ZPncpSHZWOzGnW9en/w8BifDuOfltoz/nq88fhSPfegc2Mwm8ByH3165BVf/cR9Ojs3PRaLGbUOV2wqPVe5y+SIxvNwzMcuzjEEpIyqKGfBLs6pUduaIx0WMjRvLSWUhNDHRZ3FRQpeXXN1mYzYbbWkO3x1JYcmt7lQ06s8tUZ/DwsPEivYM5lS0wi2fP3oD+sQDstFJLGpORTw4mGa4YLHHbUFenuLzmp59NWkUQJeSfKsF71vViPtOntK7KbrynTeO4P4Lzk7G2H1x41p8+dUDOOlVd6YispdKpxwNeWhkEv4oCVeyCYeZFRVRpW4xYMfn2T7G0OrjzUdUxJvU+3hqEXBstG6EjsMUWPfFGImush72a5Tt7mQEoSd5FjOuqKnEpdUVcKksIJmIRPGHti78qaNXh9blJkpREZ1/Tscvj/Tg+jWVqHLbAIAHcC2AO/RtFUEQmYRERQRBGI1kxgo5FRHz5b7vX4oLzqpO3o6KIr63txV/aO7XsVXLm59ctD650lOUJNzyxDH4IpkvorSOBHDLE8dw264NAACrwOORd23DTY8fxkvd42m91lPXn4mGfIfqfZIk4UevtMNpNsFtFeAQTHiuYwSPnxpe8N+QLbCioqABC14bKjzJ7b4Bb9avlF5KVjCiosX4nhoNQSsaA0A8ru6vwhbU4qyoSEMoMhnKLZ+WDZV5yb9RlCSMhI0lTKtyOpPbekSfAdqiopCKgEuEhGAsBrvKcywWC2y21BWw2YRT429dTvhiMfyyuQ03rW4CkDiHfHB1E/7Y3okDI+MIzaPATegD6zI2HqaIwWzDyTgVhagPtCjMlhqbbWg5RUpi+scGz6tH2cZVzt+sQxI5FaViZj6XKI3hsh7WpYs+LYJIpdJhx67aKry5ogyWGQJUSZLQFwzhgZPteJlcShcEaRpPT0yS8ETbID64qXZ613tBoiKCMBQ0u0YQhNFIiorc5FREpInDJuCRe65GXZUcseUNR/HZfxzH3v70BCVE5thenocCm1xA+doTx/HkiUEAAM8BxU4rbObEwHksEMVkeGHF898f6EV1vh2fviBReBN4Hg+8fSNu3dOG+w50z+k1XBZeU1AEJIp5nzu7QbHvqlWliP39KP7eZoyBfplTjr/KNUHDXFhZImfSd/XQ+YGFFRUN+I0lBlkMFlobYxPPtKMxFvhLlpiNlfJ1eCISQcxgM3iFVvn82KODU5HAcbBoFCdDGiKnLr8fNlOq91B+YQEOjsrXLfb+lwf6ERbFpECMYx/DJY7W5D6OU94PDhzHPodLFpK17p++kwPwzvrGpHCqx6+PcCvbeLSrFzvLirE2P/H9Wpnnxpc3r0+6nfmiMXzp1TfQFzRW3KDRcDEiOZuJB8/l3jneyLBORSQqWhzijDPPbMLsbCCj8WcabpRqTkUmVjSjcv9yR1A4FdH7k+2wQsI4XfAIIskqjxtX1Vfj7JKiFGc8SZLQ7PXhp8dacdKrHm9NpEcuiZr15K+tClHRmQDWATiqX4sIgsgkJCoiCMJoJEVFTgeJioi5U1fpxp/uugoel1zo6/QG8Ylnj6DNa6zYlVyj0ql0QPjA9lpcvbECpS4ryj1WhX05AHhDUTzXMoxHDvfj+ZZhhYvHXPnxP1oxGY7hq5esBpCwrv/yjgZsLnHjU08fO+3zAxERkiQp3ER84RhcVu2uF8dxuKi20DCiolJG2DkayK3opblQXyjHj3T1kqiIhY0/OzXP6MDlhFljFbsY1y5Gss8QmTW7WtEYuRYV0FgsO/kYzaUIAOwmueisR/yZQ9B28wxqCHAkSAiqOGc5BQGjKp+RBOCV4SFdVpRzAG5oXJG83UGioiSvDI0kRUXTTPdV3BYz7jr3LHzghT0Yj5ADTrYyFA6jzp04R15cW4IGjwO3v9GG3f1jOreMAAA741QUXOBCB0Idtk9j0uj3ZAuCVr8sg/FnaiILgYksDVP8WQpm1smJnPqyHnbcM5+5HYIwEjyA7SVFeEdtFdYV5KXcL0oSXh8ew/8cbcFw2HjzcEsNe8bRWsBFKGkZD+Dw8CQ2FCcj368BiYoIwjCQqIggCKMhx585Kf6MmBvnn1mFe779VpiZlaWvD0zg5uePYpwmg3Xnbx1D+MbOlTBNFb2amGKzGh6bGVduqMCVGyrQOxHC/a904H9f7UI4Tev3e/d0oM8bwg93bYDNbALHcbh8RQlWFjpw9R/3IzTL64lIDD6nh5zXPLAX+7on8JaVJfjyW1bCYxMQiMQRjMZRU+CAe0psxGf5att0qGCcigYmjScKKHXLYreuNKPxjA7rVHRwYFLHluQGJo0lb+IcozHYWpJWNEauRV/UFMiiPTXBSi5T5XAoBKe9OghetOLAJEnSdCrSwu5UvyYHYzHdIiryLBZFQbXFS+ehaQ6PTZz2MQ9csAP7hkfx7TeOLEGLiHS5/0QrthYVyP3ifCfufNMG/Hj/KTx0okfn1hE2RvgRJqeiRYGNFItnef9G26koc/FnMYo/SxtW7EVOTjkA61REoiJimWIzmXBxZRneXlOJcoc95f6oKOK53iHcc7yVYo0ziFJURMyVZztHWFHRxQC+o2NzCILIINm9pIMgCCJ9kjPlFH9GzIV/u3YD7vv+pQpB0cMtA/jQU4dIUJQlhGIivvTCcQRj2pOvkiQl4ztYKvNs+Oolq/Hsx8/FRSuLVZ45O48dHcC1D76CPq8cBbKy0Im979uB86sLZn0uO0FZOOWc9kzzEC65+2WcffsLePNdL+Hyn+/BGz1ygc9IK19q8+SJjuYh49ktF9hl4So5Fck47GZUVcgr5vZ0n76AvdxZaDQGe+7j+LmvYs9mqvLl88dwyFhRTJsKC5PbE5EIfLGld4RxmdWF95FQCKKU3iS03aEuKgrE9OtDsfFykiSR6w5Di9eHP7d3IRyPIyqK+ENbJ76rIh7aVlyIG5vql76BxGnpC4bwhb37MRgMKc7/n9xcj/WFrlmeSSwFFkasQPFniwMrCAlm+XssaLhRSvPol/FafTwVUQy7UCVCTkUpsLF5aqIsIrtg50hyzX2VIBZKsdWK961owL3nb8dNq5tSBEX+WAy/be3ENU+/jDuONpOgKMOw4d8kapwbLrMJVS5F4gANUAjCQJBTEUEQRkN2KnKQUxExO7d+8QJcfclKhWPA7fvacN/hbh1bRajxZMcwnuwYxiW1RVhf5EaeVUCPL4Tm8QAODnkxFo6BB1DrseOqpjJc0ViKMsYppyrPjvuv34bf7u/Gfzx2FOnM4x7un8Su+/bgZ+/agq3V+QAAp0XA/W/fgIeO9OHRlkE4zSY4zCbYzSY4zSbYBR5WQZ74LZwljpEtCGmJC3IFHoBd4FHusmJFgSO5nxVOGQU7I0Ts6qHIkWnY6DNJkrCv13ifPbH4FDNRpANBY0WQrnAnV+zpEn0GAB4NUZHfl74A1KayUhYA/DqIpaYptMqTmBGaWE/hly3t+HVrB8w8j+BUzOIH/7kX955/tuJxje7ZnSEJ/Wjz+fGRl17FztJifHbjGpg4DgLP444LN+DOA214on0QkRwTkxoFq8KpiBaoLAZmIXeivUwaQqD5OBWlIxznOXIqmg02ephEV9kPxZ8tP1Z63LiusRYrPW54o1E81zuARzp7EFtGn3+9y4lr6quxs7QkZZ5QkiQMhcL4dWsnnuod1KmFywOenNLmhJnn8Klt9Xj7jLn4KQb0aBNBEIsDiYoIgjAaSbsIjyulE0MQAABB4PG729+BTWtKkvtCsTj+48WTeKpzWMeWEafjqc4RPNU5onqfCKDdG8Tt+9tx+/52/PhNa3FxrdKd6Pqt1ZgIxvD9Z06m9XuHfBFc/8vX8O3L1+LdW6oAABzH4b0bKvHeDZWnfX7RLCLHYFSeVH7HihKUMy5rUVFCVBQRi0uIxKe2RQl5VgFOiwlmnofAczDziWISzyUmkXku0T5+qp08l5iM43kOpqmfycfNcEcy8RxMydeRnzvNzGE0ex+nEeP0SsforO9PruGxCYoVwN0knEnCRp+FYiJomv70ZFJKqOV2lmvTX3aLLNobNlr8GRMX1ptm1FimcFvUha5+r1d1/2zYHQ7V/f4scSqazeVwOROTJMTi8ntTbk8Vhz3fR/O/2c7Lg8MoOHEKN61uBMdxyLeaccv2Vfh/G+tx54E2PNZOhaalxi7I168Aud4uCqyGRsMIKGvQWjAipekKCGjHn6mKihj9EYmKUmEjUiMUf5b9UFF/WXFmcSG+uGktzFPfU4/FjH9Z2YB6tws/Onxc59YtPuvz83BNfTW2FRem3CdJEpq9Ptxz/BSOT1C881IgcPL1IkaCfU0+ta0e/7axRuvuHy1lWwiCWFxIVEQQhNFI2kXkuUlURKRSlG/DX392DUoK5SLYUCCCTz53BEdGjBfRtJzRWrn6kZ31eL5lCLs70nOXCcdFfPGvR/DMySHctms9PLa5u6FFZpnMHZiUC+Ycx2F7ZX5a7Vpq0p27lyQJY0FjFVU2VniS2/G4iP7B9AvxRoV1KhoJUuTQXNAS42GOk+ZGnFs3M0W4iUhEx5ZkHlbwknVORZPpT0678vJU9+sZf1bEOBVNROk8NBc+sKpRcTsQi+GfAyS0zwUe6+5FmcOKK2qqkteTYrsF39yxGhuK3Lj19VadW7i8cDKionGfsa5f2UKMGeNZzOpCm2xBM+J2HkIfrfizmMprsX3LKBVBU2A/FxJdZT/st4gOZ2NTZLXg5vWrk4IilvPLS/D3nj4cHjPmgq4ziwtxTX011uanjq1iooi9Q6P46bFWjFGs85LCOv/R+UebXU1lM3f5AJwEcA+AZ5a8QQRBLBrqIxKCIIjcJWmHkU+iImIGG1cV4bmHrlcIio6P+nDD4/tJUGRACqxy0fTY2CgijM38x89rVHvKnHjyxCCuuHcPXm4bhThVzQ/HREyGYxjxR9DnDaF9NICTQz4c7vPiDwd68Jt9PZqvt8+A0WAs2R5LMB/WlcvxRf2Dk4jTCtckKxqKktudE8aKrcomNIVIGrvFHFIerSlzK/6+wVBIx9ZkHrtJLoD26CQqcps1nIrSFBXxvAk2DaciPcVgBYxwa9RgTleLgUsQ0ORxJW9LkoSb9+zTsUVEutx/sg1ffvUAevwBRazuu1ZWosplm+WZRKZxMCKXCR+dfxYD1pnHkuVWRZlyKtLs90G9j6cQYVAVNAU2/oxERbkFORUZm5tWN8FpTnggSJKEx5oHFe4w71/ZkFGXX70xcRwuLC/F7Tu24Stb1qcIikLxOP7c3oN3Pv0yvnfgOAmKdIC9jtP5Rx0TBxQ7FPMLJwB8HMB/APidLo0iCGLRIKcigiCMRnJJbWEeTaASMldevAK3fuECmEyynvb5rhF88Z/HETSg6IEAmvLlQmeHfxJHxkdwbcNKAMB5jUVYWeJE89D8CrqdY0G851evQeC5BVvg/vVwP1wWAVuqPEnHEQmJ7G6B5yGYOFhMiZgzgedgNvHwhWOYDMcQiSei0aJxEVFRgihJiIsSRAnMtvJ2bPpfXERcSkw0i5Bg4jiIEhCOxRGOicp/8TiicQkWEw9OJQ4tEhcRnWpHJC7i0+c34b1nJqxv+yeNJQgAgBUlcvG1p8/YorB0YePPjg2RWHMhLNc5qx0NstX7RCSiq+NNpqlxOBSFwT4d4s/sJgEmjeJkuqIip9ulWej0RvUTFbFuUAMB412DMk1sxslGAjAUIjFErnHSO4lP7H4db6ooxafXr07ur3fb0eOj78FSMV0MBYBRL32PFgOLII/nQ9HsHsdrOhWJaYqKNFyKACCmsriB/a1UBE1F6VRE708ukUsLJYjEnFaF3Q5vNIrJ6OxjunqXE+eUynMJvzvajy8+cxLXrRvFbRevAQA0edy4qq4af+7oVn0NK8/jkqpyvLmyDHaTCQPBEP7Q1oUj49k1ZzPdznfUVqHUnlq7mIxG8ce2Hvy+Xf3vJJYO9uqrFjdKAHEJODTkxcaSpKP7agC/mNqOAXgMwG0AXtKheQRBZBgSFREEYTQGpzcsFhNcTjN8flLyL3e+8KGz8KF3b1IUvn5xpBs/2tdG9qUGZWOxG6XMSolTkxM4ODqCXbWNsEy5RLz3jBp8/W8Ly2TPRKZ2XJLwq9e78KvXF/xSWUOeXe5i9k4Yr5BVm29Pbvf2Z9cElZ7wPIeGOtmp6LVeem/mwsJXW8rnIS2BRy7Nv2+qkldo9geN5Xa1oVAWTE1GI5jUIZrLIWhHxQT96QltnW6P6n4JEnw6xo6x8Wdd/qUXbuUaV9dVK25zSEwUGUfOt3z43IY1OLesWLGviwRFS4qLOceOGrAPnA2YGVFRMJzdZype06kovY4Zx2mLilSdiJj+oJroaLljYkRas8WUE9nHTCE0sbQUWS3YVOiB02xCrz+EY+M+BONx5FvMeEtVSfJxDkHA5zeuwdp8T1Ls3+0P4B99g3imt1/VceeK2srkdjAax5efOQkA+N3RAXzyrDrU5iXmYP51ZQOioohHu3oVz99SmI+Prl2JMkakU+GwY2NBPh5oPoXHZjxeDwosZlxaXYnLqivgtqTGUY+GI/jflg78vWdAh9YRagjMdZzOP9rcc7ALP37TWphNKf0VAcCVU/9uA/BlAHThJYgchkRFBEEYjREAUQBmACgvcqLFP65viwhd+fl334o3nV2bvB0VRXxvbyv+0NyvY6uIxeYnF61LFtfHI2EcHUskIx4ZG8XW4sRkx/vOqsXfTwzipbZRzdch5kcN4xLVNqJPvM9iUuaRJ6p6+706tiS7qKnMh9Ui25X/s4Ouv3NBK9FCq+A0mwhptniMXKGpxJnc1sPJZzFZ4ZajE3t0ErvYTOpTAKIoIpJmVJjT7VLd74vGoNeUq8BxyLPIouK2SXJMOx1r8pXisD+0dZGgKAe5Zct6bCsuVOz7zYkedE4aS5yZzfAc4LLI59j+MWNdw7IFCxMxF4jEZ3mk/ghaoqI0nYr4WZyK1JwTFPFnVARNgU3No/iz7Icd35BTiH68vaYMn9nYCPMMUd5YJIoyuzXl8eeWlShuVzsduHFFPa5rrMUrQyN4uKMHJ70Jl9RGtwsXlJcmH/v7Y/0K1cENfz6IF/51e9Jl7KbVTVibn4ffneqAPxbDzRtWY0NBvmq7TTyHD65uQqPbhXuOtyCS5vk3EzS5XbiithLnlpUo3j8gMebvDYRw74lTeGV4bMnbRswO6/Ab0+HYyRWe6xzBpX98FZc1lGB9sQsVThvqPXbk2xTiuS8AcAL4BKDbdAFBEAuEREUEQRgNEUAvgDoAKC9xoqWTiprLEZuFx8P3XIPGGnlg6Y3E8Nnnj2FvPx0TRuanb1mPAptcUPxL+6nkipKHWo9jY2ERhKmB/BfevBIvte3VpZ1GpoqJnzw+aLyCboFdHhhT/JlMExN9FpckeCNUls4Wcmn+vTJPdgIzmlNRlVMWTPUG9BFc2jWcisKh9B01rHa76n49XYoKmOgzSZLQNmk8YWumOTA6hk2Fcn/ZANrEZccllWXYWlSQvD0WiuLeI534XbP+q/KXEzOd4PqGSVS0GLBORaFsFxWlrtgHAMTj6fWR0xYVMefxCEW9p8DGn5FTUXYjzDj0SSSnD41uBz63qSklQtli4lUFRbMh8Dx2lpVgZ1kJ2iZ9GAqFsaWwICm2iYkSvvPiKcVzurwh/OvDh/CLKzcmxZo7y4qxc4Y7I5Do/x8Z8qFjIohLm0qS3/eLKstwRnEhXh8exe7BYewbGV3UMTLPATtKinFFbSXW5uel3C9JElq8PvzP0Ra00Hgla1GKiuj8Mxv9/jAeOCxH9vEcsLOyAF84qxErCpLzIB8DEAbwHwBmTkCYAKxAwiygDSQ8IoishERFBEEYkTZMiYpqKz3A6z06N4dYaqrKXHj47quR55YHt12TQXz8mSNo8xqrQEko+dbOlTivSl6lfWh0BHuGZFcqXyyGX7Ucx/tXrQMAbKnKw9oyF44NGE/4ohdmnkOJS/7uHTfge2tnVkgPDE7q2JLsYmWjPKk3HiJB0VyZOTkro+FUNOPxRptpyWNEe/0GcyrymJm/LajP3+bQcCqKBNMXFdk0REXBNIulmaSQiT6TAIRoRelpebK7H5dUlqPckfg8r6qrxkOtHTq3ikiHf1vVlLw2dPuCuOnpAxgJUQT4UuO2KM+vA6M07lwMlKKi7O5vaomKxLSdirSjS0/ntBOh+LMUeKYvHaX3J6uxzlAV0ce1eLjNAmqcNvT4Q5iIKs+tV9dXJMeskiTBH43DaTaluEh5wzFE4iIG/WFMhONoGQvggTe6Ue624hNn1uGc6nyFg1uD24UGxvlUkiT84OVTCKmIIf/ZNYbLf/Ma/nDtVnis6uOZ8VAUX32+GY+cHAIArCrswJ/ftRXuqcfnWcy4qLIMF1WWoW3Shx8eOo6eQGav1S5BwMVVZbi8phIlNlvK/XFJwv7hMdx1rAUDoUhGfzeRedipF9IUpYcoAS/2jGH/4Bv4+Vs3YnNp0h33MwDeDeBBAMcBVAPYBOByANMKvMMAbpj6SRBEFkGiIoIgjEgbgDcBCXEJsbzYsaUS933/bQpb9H2DE/j0c0cxHs7uSUdiYXz+jAZc1VSWvD0cCuJ/W46nPG7P0ABuaFoNqylxjJzfWEyiogxS6lauVDvabzwnH3YugRwdZFYwTkV9k+nFKC1nTBrRGPGY+jVrZn2KndziNQQj8RwRVlgEHmYmk8JoTkV2Qf58RtOMGssUeRb11cTBeTgnWVQmygEgqHHsLgVFjFNRmNwH5oQ/FsN33ziCO845AzzHQeB5XF5dgce7+/RuGjEHvrBxDWyMQ87X95wkQZFOuMzyOV6SJMToHLQosIKQeJa7lphn2qxMIYrpOSzxpllERadxIqJ4r1R4nhUV0fuTzcyMisr273yusrO0ALdsWw2HYIIoSXi4ox//ffhUMoKMdSN6rn0U7//rYVh44LIVJajLs+PAwCT+0akd3dU2EcLu7oMQeOAzZ9fj/ZuqkkKfaURJwq8P9+Lufd0arwIcHwlgy89fwi3nN+H6dRXJxV6SJOFPxwfwmadOKB5/cjSAM+7bjd+/czM2lboVIqgGtws/OnsbHunsxl87e+FdoNNqtcOOXXVVuKC8NDnXyBKIxfBk9wB+2dKhSwQbQeiFPxrHx58+gvsv24RVsmNRFYCvzPK0DQAeAbAegLEmhQgixyFREUEQRiQ5ili/MtUKlTAuN1yxBt/41LmKSaJHTw3iay+fRJSWFBgWG8/jJ29Zj7PK85KTBOORMG4/8ga8UfWVP91+H5o8iQUQmys9qo8h5ke5Wy4yi5IEf8R4Eyas7brZrD3Jv9xg48+aR8nCe65YNFexqxechBkiJJG5vmnFY+TKKuwza/OT53FRkjAwj0iubEZgJrL1EhU5zepTAJPj6QtArVqiorh+cTSFjKjIr6O4KdfoDgRxYsKbjGf4wKpG7B0cwUiEVlBnMzc21eGcUvna+0zXMA4Me3Vs0fLGzZxfRRp7LhoK14AsH2bM7LNNI6Z5nZxNVDQz/kzgla6WsWx/k3SA/VQozia7melURPFnc8NlNuGC8iKsL/DAH42h2esNrk7LAAAgAElEQVTHoVEv+oOp4w8zz+Hft6xMRnjyHIer6yvQ6w/h/9oSMaqsCMYxNf8REYGHpxyB5kpMBG7b3Y7bdrfj4oZC/MvGSgg8j7bxAO54pRNDgdP3O2Mi8PV/tOLr/2jFZU3FKLab8fDJIc3o9VBMxDt+tx9rihy4fn0F3r6yBGXOxHjBYuJxbUMtdtVW4+89fXisqxej4QjsggkxUZrTWKLYasV7VtThwvJShegVSIidBkJh/KalE0/3DZ72tYjshtYTzp+xcBTveXQ/PrWtHtevqdScA5tBA4DrATywuK0jCCIdSFREEIQROTS9UVdFYoHlwlc+tgPvu3q9YgLtJ2904O6DnTq2ilhsLqopxH+evwZ2ZoW2LxrFHYffwPAsxeiJiDyZYtFYQUrMj3KPXNCNnGblbK7CFghC5ICWhHUq2t9HRc25km7BSZghHGKn1k2C+vAuV1Zhn1FbkNweDoUQNVAhrNBiUfRRRsP6CKa04s9C84iac7rd6q+lY/xZARN/NkGCmLR4qKUD3zlzE4DEeeYja1fgrmPNGI+Q6022clVddfK8MhgI47bXW3Vu0fLGxQjNYzki5s1JFFEk2fs+cxxgMmn08dJ0KjLN5lQ0o49nmxHDF4ll73ukF/yMyCYie5kZIUhORbPDA7iuqQrvX1UDm8p5YyAYxp/b+/Db1p7kGHJDgQceiznlsR9aU4f9IxNo9vphYz6HSre662m6PN02iqfbRhf0Gk+0Ds/5scdHAvjGC634xgut+PyOenz8zNqkY7DFxOOK2ipcUVuleM6+4VHcevCYqrOQw2TCOxtqcEVNVYpAQpQkHBv34u7jp3BqkhZb5TJ0yskcwZiIW185haFABJ87q3GuTyMtF0FkGSQqIgjCiCSdiipLXbCYeUSixilKEanc+7234cLtNcnbkbiIW14+icfb0ls1Q+QWX93ehHevrlAUaUdCQdxz/DD6grMXRzlmXCJQflVGKWcmmXwGFdywk0ZDwxSdBwAF+XYUFjiSt1+cxf6cUGJOU1RkUqzQV/ZveF696JQrTkUrSpJ22BjWyclnsWjyyEL3qCgu2GJ/vjg0hGfB01w3Z2J3ODVFbHqKedj4s6GQsY6hxebI+AR6A0FUOuwAgLNKivBASRE6fH7cvGefzq0j1DAxfdgf7T+F4RAJ6fTEzYg5IjH9HNuMDjuOy+Zqn3mWVfjxdJ2KNPp3oiilvAVOm/LanCvC8iWFOYRIVJTdkFPR3OEAfPestdhZVqj5mDK7FR9dW49apx23HmwBAGwtykveH4jGYTXxMPEcLCYePzl3E3r8QTR65DHahAHmeP5rTzsePNCNO962Djur8zXjyLcVF+IzG1bjBwePJUVYZp7DpdUVuLa+NkWMFRVFPNM7iPtOnkLAoAvslhvsGUfjMCHmSIHVjM+d1YCrV5ar3X0XABeAAIBRAAUADgP436VrIUEQc4FERQRBGJFOAHEAJp7nUFeVh+Z2Km4aEZuFx1/uvgZNtfnJfePhKD793FHsGySXDKPCA3jw0k3YWpqn2P/P/l78ob0F4TlM0vYGfNiKEgDAunJ1pwVifrDxZ2MB47kbnNtQqBCytbbPfXWckWFdikRJQusYxZ7PFa2ik1bBiZ30nKkV0orHiOeI408NI0ybzW0uFymz25Pb4zoJpmwmU4ot/zTpOhXZHA7N+/QSTAHK+LO+AJ2H0uXw6HhSVDRNncuJC8pK8MIAifWzjYgowjp13tdyvSOWDhcTf0aLmhYPRfxZFusLBA2XIiBz8WdqonGHlURFp4PteZPzTXYz01WaPi9tLqosVgiKRElC10QIHAdUuKyKMefltWV4uncIrw9PoNEj9+kPDkzi2fYR/Pu5jeA4DlYTrxAUiZKEr/+jZWn+oEVmOBjDjX85CLeFx20Xr8FF9YWwCann2h2lxXhnQw3+1N6FN1eU4brGWpTMiIAWJQnP9g7iziPNyH3JFcHCChm1xtHE7Agch/esrcRHt9Qiz6oQ4o0C+DcAD+vTMoIg5gOJigiCMCJRAMcBrAeAzWtKSFRkQMpLHPjrPdcg3yMP5jq9QXzsmSPomKQiklEptAn4/RXbUOqQi4aT0QgePHkMR8bnbp28b2QIb69tAACUuW34zIVNuOOF1qyemM4V2PizQZ/xXCLOrpMn6to7R+GdNN7fOB9WNpYktwNRWp2fDtrxZ+pTkqwzhTRjYl1rJXskR5yKyphrutFERRYmti4q6VPg03IpAtIXFdlnCE+miYmirrF1hUz8Wbc//Ui35c5DrR1YledBvdup2F/ncgIkKso6JiJRlNoT5/2dFQX4Wwd9RnrCxp8FDeDkkK1wOeIyY54lYjtdUZFJI7o0quKEYbco+4K54la5lLALRIwa120UzPxMUZFODckBrm2oTG77IjG87aHX0MXMVZxZ4cFDV2+CfUo4c2FFMVq8fuwoleOnDw/5cPe+btTm2XDjhkrFdyUUi+Ozfz+O1wwWcz4ZEfHRx48CADaVugAAfb4Inr7xTBTYEwKIG5vqcWNTfcpzJUnCgdEJ3HrwOLxRuu4bEbabQQL+9NlY7Ma3zluFVQXOmXftA3AtgLalbxVBEAtBe4RDEASR27w4vbF5bame7SAWga3rSvH0L65TCIr2D07gvU8cIEGRgdlQ5MKT12xXCIp6/D7854HX0xIUAUBPwA8vE8/y6Qua8PBNO7CpwjPLs4i5UOpiPp8J430f15S5ktttnSM6tiS7aGKcigb9FL+SDmnHnzGPn1lLM6msrgQSQo9coMAhr1wbCBrr/MGKwfRaZe0SzKr74/E4wmmKuLScigIaYrilwGYyKYRTLV6Kp0wXbzSKL736Bn52XLkK3abhkkHoy8uDslviRdXFcGpcA4ilwcmIigIkKlo0TIzIIJudGGePP0vv+NB2Kkr9+2fGn0XIqSgFVpgWIlFRVmMVlOMkij/TptIpz4/e+nKbQlAEAK/1efFki9xvWOFx4pKqkqRwKy5K+K/difr+fzzXgrf86jU8dKgXjzYP4tv/bMW6u1/Eoy3Gdmk+OOjDwUEfhgIRXP6b1zSd3iRJQqvXh//38j585fXDJCgyMDFmMZBWTB6hztvqi/HLyzfPFBR5AdwM4GyQoIggchISFREEYVRend7Y9P/ZO+8wScpy7d8VOofJOc9O2N3ZxEaWnBWQjHrUwzEhKgKCOfEhYEKPIiYOCnoMgAoYDigKCEjchc1pNqeZnRx7ejpX1fdHz3RVz1TNTs9Od1VXP7/rmmuqq9M7NRXeet/7ue/W4pleR2QZl5/fiMd/eAVsigq8Z4/048bndmI4bL6oJSLOtU1lePSyFUl2xDuGBvC9nVswGJ6bm8XP2nckDUQvrfDiyQ+vxXtXVJ1ye3OZAqc1sdzjM5+LT32hPJF+5FhqYjYz09RQlFg+QtFnKaE16SRqTJQpxSlTB9a1nIqisewYgHcoJmT7TOZUxM7wf8sUHou6qCjoT118oyUqGtdxUF0ZfSZJEjkVzZGIKOLZzm681iO73rTmk+jaiPzh0LGEY52d53BBDd336oky/iwQpAnGTGBgo6KTiIrS51TkdsjX+jAJZlRRTguHY+SwamR4xXEkSBIMfMjrjlJYfEyjuOulo/L4RVuBB7e2NSYe7xsaR0Bxzjg4HMCXXzqAm59txy+2diLXTicn/JFE1JvShbU7EMTn39qB2zZsQ8c4jXuYHeVtO0fxZ7PCxrH4yroF+MH5i2FN7gv9AkATgAcASgokiGyFREUEQZiVhKiopaEQTjulPZqBj1y/BPd/5fyk6oCf7ziOL766FxEjjygSp8QHFlbi6+ubkyZknz9xHA+270QoxQFZJUf9Y/j61o3oD8kDAVaOxX1XtOErF7WAbhfnRoFiILvbZy5RAJAsmurtH9OxJcZC6VS0q4+2Sypo2WgLMfVxFuXLp4mKtCrZDVzJP0lNgSPJYt/MTkV6FVl7rVbV9YE5iIqcbrfq+oDGfpsJihTRZ4Ikwfh7vbHZPTKaWK5zq4vICH0JiSI6FOK565sqYFMM3le77bi0rgTnVhVpuuIR84fSqcgfpGKXTGDk3Xrm+LMUnYpY9c9SExU5rfLYF0V7nRwSXhkb5TWNXIq0YZAcFeePqI+T/Xl/n6r7jiRJ+H8vH1R5R27zu13deOXYUGLbDocjuPG1zWgfpfGOXIROQSenrciNJ648DR9YnFSsOwzgfAA3AaCsZoLIcmiWnSAIs7IbwBgAD8+xWLawBBu2devdJuIU+PzH1uBj71mWmHCMiRLu3XAAfzrYq3PLiHTCAvjc6gbF/13EY4f24Y2+nnn5/P5QCHdu3oALKqpxfUNTQrh00/p6FLms+Pz/7TJ0BawRyVeIirpMFn/Gs0CRS56Ub9/fp2NrjIPNyqG2qiDxeOOJER1bk31ox59piYq048+0REUxwfgnsjMUblfBWAy+qLkmZHkDOBVpxZ+Nj6U+MO50qYuK/DH9/m9Kp6JTER0TcTYPyNXsPMviQ80N+N8D5FJvNJ48chyfWboIANBW5MFzV6/DjoExlDisaMqX4waO+QL4wuvtODRKDl7pwqFwiRgPmesaRqSOlqhIFMWEw9hs0XIqUos2c9j4GZ/PdVxWLknEHorSNjIySscvBsBFVSWJZRYAwzAJcSHHMGAZBoximWXi907K1zKI/xYlYCgcwYHRcRwaG0c0iwd+GjzJ4u9ev7Zj9D2vHsI95zYljgNJkvCLrZ14q2tU8z25zNMH+nFOXSEAwGOhqVSCUINnGHzqtDp8dGnN1Ji4XQDeA6Bdn5YRBDHf0JWQIAizIgB4E8AlALCqrYxERVnMXbesxweuWpy46Q1EBXz23+14rWtY55YR6aalwAVeUXH1s/ad2DMy/5FTL3Z34qBvFJ9behqsE5Py1y2rRCgq4Kt/p3uf2eKx8UkDf8dNFoO1urYgIegQRQlvbTmmc4uMQWN9EVhWHpR8q5MGJFPhVOLPpk5KacZjZIFT0Yqa/MRyd8B8k97KCSxRp/AGJ6++f8zJqcijLioa01EMpnQqGtMxhs0s9IfC2Ng3gHWlcSe6K2ur0BcM4e+ddE9lJF7tHcANTSGUOOL7v8vCY31FwbTX1XmdePjC5fjQ89twbMxc/TOjkCQqIqeijMAYOIpEu3+XuuhVWzSu5lQkv5aciqbjtiX3hUh4ZWyUxRc8y+LO01rS8j2BmICNfcN4rWcQb/YNYzxLYvFYAOdXFuPmxQ2JdTFRwokxbVHRr3d04fWOEdx9bhMC0Rh+uf0E3qT7d01ePpYssv/V2asxEomCZxj4ojE8dbQTWwanF1WV2a1gGRbdQfO5dxOEkhqPHd8/bxHaij3K1RKA+wF8FQAdBARhIkhURBCEmXkVE6KiC8+ow08f3aZzc4i58O3PnY3r39matO7xvV2wcQzOrMxHRJDAMfEBxZgoISSIiAoiREgQxfjEnShNxGBI8UlaG8/BY+WRZ+XhtnLwWOK/gXi1kgQpYWuqVqw06TAgAQjFRPz9SC8iNBaVFpaXeBPL/mg0LYKiSY6Pj+HOLRvw/1ashcsSd3P4wKoa9Psj+OErh9L2vWZC6eIjSRI6RswlDCjzyBPWPn8I/vGIjq0xDsros4ggURxlimg5FWnGnynmqJRaIYZhNCfXolngVFRfJFfY9obMN+6knFrUyzrdrjEpGU5xe1ttNlg0otTGovqdF5VORcNhOj/PB785eBSnFRXCyrFgGAYfW9iE/2puwHA4gt8ePIo3+gb0biIB4LY3N+OeVcvQ5HVPuw4IopSoGPZYeXxpdRM++dJOPZppehwKZxrfOImKMoFg4D4nq9Enk+Yg9GZZ9eu3oNK/sytERWoxR7mOdYqDlJowizAOHRlyPnbyHM6vLMb5lcWIiiK2DIzilZ5BvNYzhJGIMc/n60oLcOviBtS4HUnrf7Wt86QRwAeHA/jAX3akr3Emonc8gtc7hnFmTVywXeqwo9QhjwstL8zDId847ti4DSKAS6rK8KHmeuRZ42OKoiRh78gY7ty8C6EsKPQhiFS4qK4I3zyrFW5rkszgIIAbAfxbn1YRBJFOSFREEISZ+TOAewFgaWsJais8ON5NucfZxH9/8VxceVHTtPUfXVqjQ2u0+drpTTjj8ddJWJQGGvPkAZLBcPoHlEYjEdy1ZQO+sWo97BOODrefuwAnRoN4YntX2r8/2ylRiIpECTBbcWy/ouLP47KBYShXHQCaFKKiIarMTxkLpxF/plHJzmrEaLEaLjRAdkyYlHvlwdkBE4qKlBP9kg5ORRzDwKYlKgqmdn21O52az+npVFSocCrqpargeaErEMSP9+zHbW0tsEwoGm0ch3KnA59buhA7h0cQEUT8o7MbmwfJQVQvQqKIL7y9DU6exbtqqtCc58VQKIw3+wawbWgEH2lpwBW11QCANWX5KHVY0Rck4d1841CcY/20fdMCO0WIreXqaARYdaOilKPPAEDLkElNVMUpHJJiBhZd6YVtqqiItpGh2dU9hr/s6ML5zSVJ90AMoyj2k+IFf5IULw4UJSnxWJx8rPgtIb7MMQyKXFY4p0TiWVgW60oLsK60AHcskdAXDCMmSRAmf0QJR/0BPLDrsG6ORksLPPjW6kXg2WQH2y09Ptz72mFd2mRmvvvmETxVlZ+0vSdhGAZNeW48et46jEVjqHTak/YnlmGwuMCLn56xEh99bVMmm03MM3S1SOb6lnLcdUbzVBH1wwBuBzCuT6sIgkg3JCoiCMLM7FE+KC50kqgoi/jMR1bhyouaDG1pPomNY3HVgnI8caBH76aYDmX0Wabie/yxGL6x7W3ctXJdYgLtvivaUOK24WevH8lIG7KVYrfsEmFGK/meMXmSmuNYuJxWcitCsqiow0cT+anCaVznREFDVKR8jVJUpFHFDmSHU1GB05JYHgxrW/ZnK0nxZzr8O1wziM6C46m5ytnsdtX1EoCwxn6bCYoUTkVdAYp3mi9e6+1HXzCEr65og9cqH6cMw2BZYbxqe1VxId7sG8D3du7Vq5kEgEBMxB+PdExb/8v9R3BpdWWiX72iJA/PHe/PdPNMj9MiX4dH/dQ/TAdT53OjMeP2bzSdiuYiKtJQKIkqn8UrxOoiCWamMdWpyMhuV0Sc2/+cXnc9r53Hx9bX4/K2ctQXOpOOXZ5lUOma3u9tzXfjyFgAjx86kda2qWFlGdy5sjUhcJEkCZ1jIdz50kG8eCx9zt65zNaeMVzzxFZc2VKKlkInuv1hhGIiLmwoQs1EYYzXaknqJ0+l3GnHx1sb8NA+GlMksp93t5Tj62cmxVH6EHcnekKfFhEEkSlIVEQQhJmpVz44cJSqZ7OFG65ajE+8b0XSBFzXSHxyyMIxsHBs4odnmUQlEscw06oXZyISExGKCvGfmAhJkuLxMRPPq40DKttU6rHBMlEJWOTQvnkk5o7yf5BJR5iBcAg/3LUNn116GliGAcsw+MIFzWgscuKLT++BQPY0qiidioIR/SaW00XncLJgJs/rIFERgAX1sqho34Bfx5ZkJxZOY6JIS1TEqotTWK2SeAAxA1fyT+Kyybem/SZ0KuJ1dipy8er9FEmSEBxPrZDQ7nCorg8JMd0qOBkABQpR0VE/FUfOJ/t9Y/j61p24va0VtW7XtOcZhsH60mKcXlqEDX2DOrSQOBnK64VN47pDnBpOXhYVDfnMJ441AlOFOkZ2mdEal5hL/Jk8QpGMmmhI2a+ke9bpTD3/GXkfIjKDLxTD9186iO+/dBBWlsV/rqnG9Suq0FrqScSHqpFn1WdabXVJAcoc8T6vJEm499VDeHhb5sVNucb23jFs700uVL7vjSP47dVLsboiL2n98dEgvvziAewfGsfPLl2MNZXx5y+vqcQjB44kOXpbWRZ3nbYYNS4nBEnEv3sG8L8Hjqb7zyGIObO2PA9fXZ+UKnECwCWYUtxPEIQ5IVERQRBmZuXkwvEuH8Zo4jcruPisOtx5y/qEeMcXjOJ9v9iA3d2+Wb2fYxlwDJMQo7ATy4xiWRAlBKPCKTsF/PVTZ2J5dT4AwKvTgILZ0dOn6tDYKH7WvgOfWLg0Udl9/fIquKw8bv/zToRN6MRzqhS7ZVHRWDimY0vSQ0QUIUpSYkKjstyLE92jOrdKXxgGWFBflHi8eZbnakLGojFYrRV/ppxYUlaoc9xM8WfGnjDhWSTZyZtRVKScCNVjks9lUd8/wsEQRCm165nD7VZdH4jpd97Ps1qT3A0P+siddL45MjaOT2/YAgfH4R3V5fhgcyOEifgQIC4s+sLSRdg5PIK7tuzSubXEJEVWK761Zjmsion0PUN0fKQDt+I82z9CbmnpYHr8mXH7N5pORXOR32p+1nSU/Sly4ZkOrzgXThanEcQkEVHELzcexy83HgcL4IKWEjQWu2BlWXAc8ME1dSicKKTSS7O3vrQgsdzlD5OgSEfGowLe+9R2XNVaisubSiAB2HhiBI/v6oZvosjuM8/vxasfXAcgPl69urgQG/pkR6kHz1yJcofshvXuhmqcWVaEz2zYjjEd760IQo015Xn40YVtCVd/AF0AzgJwVLdGEQSRUWgGlCAIM5MQFe0+MKBnO4hZsripCD++88KEoCgUFfDR37w9a0EREB84EzI0NBQIyxO+bhIVpYUkpyIdvn/X8BDu3roRX16+Gs4Jl4dLF5WhyGXFx/+4DcPBqA6tMi4lLtklYtCkQs5wVITDGq9Eryjz6twa/aksz4PTKYvJXj1GroCpouVUJGg5FSnOi8q5Io7Xjj8zehzhsuq8JCfAAROKini9RUUaTkXBQOqOPk7XdKcaAPBH9bsmFipciiRJwkiErs/pIigI+MuxE/hbRxcEScLKokJ8dUUbADkS7YKKMrzY3atzSwkA+OH6lXBb5OP/1RODODSaWuQhcXJcPJfkaNEzSG5p6WCqqChq4P6NlsHJXOLPtNwo1ePPFE5FJCqahjL+jFyKiJkQAbywvx/YL8eFvqutIiEq0ot6jzOxvKFzRMeWEAAQFSU82d6LJ9vV+709U+JQS+zyPcu1dZVJgqJJKp0O/PrcNbhz8y7sHiEhuJ5oaHpzklVleXjw4iVwyONOIQDXgARFBJFTkOcxQRBmZtXkwi4SFRmewjw7fv/DK8BNDIIJooRbHt+Ctw0cWzcekatG3BoOAMSpkWz1rs+gX38ohK9t3gBfRB4MWFtbgD99eC1q8tUjYHKVErc8QDIwbs7YB7/iuC8vJVFRU4McfSaIEvoD5hSTpRNNpyKNykTlq5WTSewMTkVGnnQDgBVV+YnlkUgEkSyIa0uVJKciHSaxXLz6/hEKpC4usDudquvHdaymLbTJA/Jm3H+MSFSUIErApoEh/Gj3vqTnrq6r0qlVhJKLq8qSBEXb+kdx91sHdGyRefHaks+xXQMkKkoHU91/jOxUxGi5C81jm9X+fptFFpkbXVSuB1ZO4fhp4P2HMCb6j04BJXZZ1LR/kETCRuf9SyoSy5IkYcuAPMa9rqQo6bUHhuS+g43jcN+aZbixpT7tbSS0UY5Jz0UUbBZWleXhf5IFRUEA1wF4S79WEQShByQqIgjCrDBQOhXtH9SxKcRs+MuDV8Nhlwdjv/70brzQ3qdji07OuCLeyTWDQwQxd/R2KpokEIvhK5vfRG9QvslvKHLhTx9ei9ZS9RiYXKTcI4uKToyYz2kESBZLKQU1uYpyG/hMGHmXbrQERcAMTkWs+sAWx6lfh0QRpxz3mW7aKmWBXl/QnJExnOKCJupwRXPMo6jIoeFUNB7Txx3IyrK4eVFb4nEgpn7sEOnjpe4+HB2T+0g1bhe+uHSRji0iAKBOcawe8wVw04s7MBImF690kGeVxVuSJCEUITFHOpjuVGTcDs7Utsqk3mZNgZLKRylFRUYXleuBnSfRFTE/6HX2UUYckouK8fnQ8srE8qGxcZwIyONkDR65n3bfG0dwyaOb8PDWzsQ6hmFwTX01Ptxcn5G2EtPhdHYbNgLnVBfioUuWwGlJcii6HMDf9WsVQRB6QaIigiDMSimAkskHew6SU5GR+eV33okKhTDjkdcO47cbjunYotkRiMiTVg4LXVLTjd73bzFRxF1b3kL7sJx/XuK24dfvW4lK73TL4lyktkB2btrTa06b5l3d8t+1dHHFDK/MDRYoREXdfnO6U6UTregzABCFk4u0lGIhLaeibJgwaSqR+wA9uSAq0uGC5tDYP0Jz2N4OLaeiqD7CwjPLypMe+yj6TBde7UkuBji9rBhX1ZJjkZ4oBXYuC697X9rMeBRR2IKBhS7ZzlSdTjRm3D4Or+VEqSEanwmWVReOx1Sc+WyKcYkI7YvTsCeJrmj7ECmSZFWkz/5zbEzuu6+uIOdkI7Os1I2GfPm+aefQKK6urcTVdZX4/tplcCkc71/vGIYgAfe8egifenZPUsHWdfVVqHWRS7oeJBW65uAl45zqQvz4wrapkWdXAnhJv1YRBKEnNANKEIRZScpf0arsIvTnxvcsxVmr5AmHV/b341vP7tWxRbNHWfnHs3RJTQdGPHIf2LMdr/Z0JRxCyr12/OYDK1Hisp7kneYmz87Da5ertDd3GDe68FTYeFQWlZFTEbCgXrbsPjxE9uupMqNTkYbbilb8mZZTUTaIiioVUZLdc3DOyQaU/QR9REXq+0c4RVGRxWIBp+F6FNAp/szNW5Ie//NEty7tyHX+dKwT39y2O2ndeRVlOrWGAIB/9/Ql+qvFDiua89VdxohTx0PuMBlhqvuPYOC4S15DOD6XPgCr8VlqAjalU1E4Ss59U7ErRFd0rBKpkhSFpFMbDvhkZ8jmQrquG5k1lXlJj6+pr8LHFjbiY62NWJgvC8J29/uxXVGU9/SBfrz7qW2JxwzDoDXPk/4GE9NIGnvR1T8/81zWUIIHLlisFEmPAbgMwPP6tYogCL2hGVCCIMzKCIDEnVZ5Cd1oGWR6Dq0AACAASURBVJFlrSX4/I1rE6KvY4PjuOXxLRCMntMygbKdPAnXcopHD+3DW/29icdNxW48dsNqFDgsM7zL3NQWyBVYkiTh8KA5hQHbTowmlh0OC8pKcjv+Tikq2tlnTneqdGLjtW/HBA2nIuV82mycirJhwkQpSOw2qVNRsV12tBuOZNbVi0Fy3IeScCi1qEqbQ7tKNjgLd610oBzgDcZieLaTREV6EZ0ywX/QR9cFPTkRCCKs+J8sKsztPks6cSvcBiIk5EgbU0VFak49RoHjtJyKUr9WajsVnURUZGAnJ71wKLaP2vYjiJlIci3RqQ2HFKKiMnduF7YZnT0D4yd9zXhEwO3P7Z22P1V55HtHSZLwZt8QiMyTJCTMoUvGe1orcN+5C2GVRc1jAM4HORQRRM5DoiKCIMyKBKBj8kFFKYmKjEZhnh2/+8HliYHBcFTAJx/dAl9InwmpuaC0y+ZmcJsg5o6Rt+qvDrSjfUS+sW8ucePh954G+wwiATNTmScPemSDM8pcOTgwnqj6BwCHPXeFZC6nFeVlcoXdhs4RHVuTnczkVDSr+DPFZAinIRoxerQDzwJWxcRbn0lFRflWedD/xPjJB5jnExvHJQ2IKkk1/sw+k6hIw10r3ShdH8Z1cksi4linOHc+tO+ATi0hJhkIyiLGRq96dCFx6ijjz0IREhWlC3ZKIU/MwKIZrYhbUZy/+DO1+Lfk+DPjbh+9sJGrGJHlHPfLfXfbDFHahP682TmCz7+wD6GJe6ShYBQdvhCOjwaxf3Acj2ztxKWPb8a+weR7QwbAHevqEo+HI1H46R5HHwwgJMw0H2yrwl1nNCv7XAMA3gFgs36tIgjCKKiXsxIEQZiDDgALAaC8mERFRoJlgf976Bo4bPJl6Gt/3YU93T4dW5U6Srt1jUJE4hRRRhdKBryFe2D3dnx2yWlozssHAKyqycdPr1uOj/1xK3Kt8LHSK4uK/OHcmUyxWNQH+XOBRoVLkSRJ2N5DjhSpojXhBACCoBV/Jp8Xk+PPstOpaEV1QdK5vteEoiIWyWKLrgxHvDk09g0AiKToVGRVOC4lfY4o6GYJr6wa1RJPEZlHECUYeL4/ZxiKhFGNuJiozGnTuTXmxaXoD5KoKH1MExUZ+ByjVXQkzqFfxmpEravFv5FT0cwoYlyyxiGbMA7Ko1ov15ICW+4WNWUjf9jTg7/s6wPDAKFZnpOvai3F0lI57uyRfYcBxCdyb17chPWlReBZBoIk4dWeAfy0/VA6mk5g6jFv/mvGxXXF+MLaBcpVJwBcBGCvPi0iCMJokJyZIAgz0zm5UFFKVu9G4rf/fTnKFEKvh187jCc2d87wDmOitMvmKP4sZ/n+rq3oDsiVRRe2lODz5zfr2CJ9qFCIioYDER1bkllyWVSkjD4LxUTQtEXqWLWiMUQRklakh7JaLin+TH1fjBh8QmlNfUFieSAUSorqMQtNXm+ScKonmFlRkTKWR4koiinHn2k5FenlUgTEnZgmmRq/RWSWBV75notjGSwryNOxNQQAdAfkY7zWo+00BsTjNS+sKcbH2mrx0cU1uGZBOdoK3UmT8IQ6ToVbYDBMbgLpIpviz+bTqYjREBXFVNwobYp9MUxRfNNIEhXlwAQxYR44Bri6rhx3r2pNrKM9ODsIC+KsBUUsA3zxjIbE44FQGC/3DGBpQR7+cOF6vKO6HF6rBU6eh8diwWU1FXh/Y026mp7zJImKdGtFZri8sQTfOrtVueowgDNAgiKCIBSQUxFBEGZGjj8rIacio/C1m0/H2mUViccv7+vDt5/Nzv6psrCNNEXpIVs2671b38K31pyBfGu8AvzjZ9TjmT092J1Dzi1Kp6LesfAMrzQXuVCtpMWC+uLE8lAwqmNLshctQepM0WfKd5jBqWhppRyhZ0aXIgBYXJAsnAppuFClCxevXtEcHB9P+Rxm03AqCs4iri9dOHl53w9meNsSyZwYTz6Gv7S8De9/+Q2dWkMAQPvIKN5RHb/3ailw46YltfjzoR70B5MF4F4rj++dtRirSqcLwQJRAX872ouHdx/HYIiu92o4LSQqygRT3X8MrCmaJoCaZC73DlrC8ZhKH8/Cy99LTkXTUe5DZFREpIry1i2TTtrlDhu+vWYRGr3y2LYkSfjJ28cz1gYiM6ypzEOVJ36/JUkSvrdzH25YUIv3NtYkFakoObeiBI8d7lB9jjg1GI2CLrNx49Ia3LG6QbnKD+CdAOgkQxBEEiQqIgjCzJCoyGBcc3ET/uuatsTjg31+3Pr41qy1nVYOCFLcRvox8g2cCOAbW9/Cd9acCZ5lwTIMLltUllOiIqVTUcdIZl049EQ00PkrP8+BlcuqcNrSaixqKUV5mRdetx0sy4CZGEAXBRGCKEEQREgSwHEMeI4Fy7HgWCYeVxMVEBNExGIiYoKYFNPAsAzsNh42K4+GOtmp6IQvNbcTIo5WNMZsJ5yUr9KqYjf6Nba+SO6jdZtUVNTolt1bujMcfQYALou2qChVHG51989ATL9JdIdCVBTQ0TGJAN7oG8DlIz605sfFgg6ew2PnrccPdu3DpoEhnVuXm/y7px83LWxKiO9uWlKHm5bUYffgGPqDYYxG4sfumrJ8VLrURYNOC4d3N1fi4toSfO61PdjWn12R1ZnAwZGoKBMohTpGF/ZrOXyJcxC/soyGU5FKH8+icCqKGFxYrgdKQb+R7uOI7IBF5kVpTp7Dd9YuRoPHmVgnSRK+8dph/GJr9jm+EzNzZnV+YplhGHxl+ULkWa1Jr3nmQB9WVeShwh0vaqTx6HSi6Hfo2Ip0ctvKenx8ea1y1SiAawEc0KdFBEEYGRIVEQRhZhKionISFelOW1MRvv25cxKVFcOBCD76m7cxlsWDrkqHCHIqSg/ZtFn9sRgO+UbRmh93pKgtmDliwmwoRUWHBlKfqM5WBJXYgUxRVuJGQ10R1pxWi+uuWIamhuKTvylN+LL4XK4nrMbFQzP6bOrrlI55GmdMow9+lSvOHT06CG4yQYVTngToCmT+/OjQcDgIzWF7OzVERf6ofu4lEcUErdbfSmQGQZLwpU3b8d01K9Cc5wEQF319efli3Pz6JvSmGLdHzA/f3r4Hd69cmnTNaSvyAPCovj4kCPBFovBYeNg5LnH/lm+z4FvrF+LqZ95GhCbjk1AKFfTsG5odXiM21ohwWhG3UupCHy3huJooRilYV4tHy3U4RSydaHBhGmE8lLdumdp/vrS8KUlQdHg4gE/9Yw929+fOmEsu4YskC0+VgqJAVMDnX9iHpw/0480Pr0usP+DLnWLGTJMcf2aua4aNY/GV0xfg+pYK5eoDAC4BcFSXRhEEYXhIVEQQhJlJlGyUFbvAMMZ2OjEz+V4rHrv/XYkBnKgg4uZHt+DYYHZPHirH8Niskr9kJ9lw+MYUg8S5VC3EMQzKvbbE469eshC3nrMAgYiAmChBFOO338qb8CQxBBM/hlg2vtUmJ70mXy9J0///Np6FlWPBMPFtLUFKvE6SJIhSPI/eonDgkSRMvB6J0QFJmvz8+HskSZp+rZjyr1TaTv/3PVciEIwk1jFTXqMceJy2TvEelmXAsSxYLv6b4xiwE7/V1tvtPPK9xhGuvXyUHCjmkzn1VzROOUafMPHY5VvSHpM6FRUoBoPrPR68v7EJDMPEz1UT5y5RkiAkfkTEJAnixE9MkpIcGSTEXx8TRUTF+Gujk8uimPjMyfNamcMBJ88nPkNCfHdholHYJiYqJQlyW2YYMrUrBFJKxnV0KlKek8022JutfHPbbty+pBUriuJCa5Zh8PFFC3DP1t06tyw32TU8ilve2IRb2lrQ4vWA1xAoSJKEncMjuGvLrsQ6N8/jU4uacXpZXLhc6rTh/Opi/PN4f0bani0o48/8FAmbNrQixYyI5nE2B0Eeq/FZaqKhJFERif+mYeVo+xDZw7tqy3BuhVw4tKlrFNc+uU3HFhHp5i97e/GF9Q2w88nn/Z19Y7jtn+04NBzEggJHIiINAP5A0WcZweDDKinhsnD4xSVLsbzUq1y9G8BloMgzgiBmgERFBEGYmUSv2mrhUJTvwMCwOSerjM5f/+daOB1y9MbX/2833jw8qGOL5oeYwk5cY5yPmAP1XgeuWlCGhYUurC1XWP/q2KbZElW4i1j53NkpFhS7pjmueO0WeO3qkTtmYvWKGr2bkIQoShgcDeFAxzAOdfrQPxRETBAhTIyA8BNxZ/xEJFp0IuIsGpUgSiI4Li7WslpY8DwHq4WdErkgIRCKgecYfPy6pYm1Lx3N/nO6HmjNjc0l/kxrwsnI8yVWnk2KB+k1qajIpnDPac3LR2te/gyvzhziocMY93jVn5vcByVZpiMBOL+2DpxiX5sUKK0vLUNMIXCaFDyFxXi1LcvERaMhQYAwIZISJz5gqhAoJkkQJj4rJsbPX1FRPo9N5fyKysRyXzCc8nYg5p/RaBR3b92FTy5swiXV8erXeg2XKyIzdAdD+OqmHQCAs8uK0VaQjyKbFU4LDwbAaDiKZzq6sHtkNOl9/lgM9+1sx68K1iF/QiBZ7rRN/ficx6mInPIFIjq2xNxoxcYaES0BlCjOIf6MVXfhUxOOK7/X6BG4emBVOBVFycmJSJFM7jHNXhdubWtIPB4ORnE9CYpMz0Awik//sx0fWVGFUEzEgaEAXj42hNc7hjF5ylpfJd9LhgUBx8fNeQ9NpIcajx3fO3chlpYkjQNsQFxQNKxPqwiCyBZIVEQQhJnxTfx4AaCi1EWiIh347X9fhspSeRLhf984ikffMofoPaoYpOMo/+yU+UhbNT7YVoUCmyXJdWCSModxXFm0iCgGiadWFpmZ2gL7yV9EpAVRlOAPRnGocxQ/fHwbXt/WnZHvPX1JWUJUJEoSOnw0kT8XtOLPZjtknSQ+0opSM3BJXUuJK+l8PxQ2335U53KpXtOMwMDAgOZziX1T0Xa73Q67RVssajNA9FjHOEVBGInNg0MJUVGe1QKeBWKpJ/8Q88yrvQN4tVf7+J9Kg9sFzwzHPhGv+J5kdIxERemCy6JKHq2otrmIirTiz5RFTpMohVdRledzHbviWA3FUv9fEMQk6ezeF9ut+NaaRbBP9K1FScL7/7IddETnBs8eGsCzh7T7aWfVFiSWO0lQlFYMehs/Z2o8dvzhitOQZ0vq1z8M4FYAlFNNEMRJIVERQRBmpwNAGwCUF7uwc9/sB0+JU+frt52J01fI1eOvHOjHvX/bo2OL5hflIB2JiuZOlduOX79jGcpcM1c92zjjd1uUA5OFTusMrzQXpe5kUdEH73oeFcUu5HtssPAT8V2KAW61o0UQpYmIMilRVcsgHmujMreNQCiGQCiGqGJ2kmMZcGw8Ro2diDwLhGKIRAXYLBwYJu7aIoqTUUIMWBbgOXYifkx+/1QdhlKYYbdxaK0rgIWXY4OUr1G+d+pzItRfK4pifBsIEmKCiJgw4dQhSBBi8d/x9WLi+c3tfTh8wqeyNdNPQ1VeYtkfoQH5uaJVcC+K2kPGSVFPSk2Rhp+bkYvUF5bL1XHj0SjCM/zd2cqSAnnQVxAFDIYDCWeBeBSjHPvIggHDMAlXH5Zh5fPglM9lprw2/prZBW9O7kNDQ0NJ57aTiZ/cBnaaESUJLMOgfUSfcyKhzr6RMQiSBG5iX/3R6atx8xub9G4WkQJWlsU3Vi9Lutd5u29ExxYZE7dFvk8Z9NGcTLpQXqYMrJkGEL+/UGM+48/UnIiUYqYIiYqm4bbJx2ooSvcwRIrM4t7rVGnJc+Gbqxeh1BEfH5MkCfe9fgS7+0k4T8TvH89WiIo29pFjNDE7yl02PHTJ0qmCop8A+DRAmkWCIGaH8WfnCIIgTo1OTIiKKkqMOxFiRj507RK8/4qFiceH+v245bEtprLgVooZ+CyyYjcS9V4HnrpiZZINOQD0+kLY3jGCS9rKdWrZ3NjnG8Y5FVUAgJZSN2wci3AODOZWeGVB2MGOEby+PTNuOYR+NFbLYpC+cfO5y2SK+RyM1hKEGNmpaEGxK7E8FDGns8MCr3ysdI6P4A9HtmT0+6ud+VhcUDFtfTgUwsHBnqR1LAMwmBBZxqVKE8Kn+AB2vrMSx8aGJl49GXwGiBCxffAEOJaBheVhYTjwLAsbx8PG8pAgQZyIUbNz/IQQakIUpXIMcAwLlmHAs/H4RY5hEuumYmE45NkcYBkGkiRh1xCJHYzEaDSKN3sHcFZ5CQCgwunABRWleLG7T+eWEbPloy2NcPLy0OGDO45iz5BfxxYZE2X82fAY9YvShVakmBHRGh9I1alIS1AEADGV+C6lU1GErOGm4bDKx2owStuHSI1031U1e1348RlLEw5FAPDMgX48uKUjzd9MZAvFTgs8Vrlf9kIX9amJk+O18njo4iWo8yYlANwC4GfIbLIjQRBZDomKCIIwO4k7r4pS10yvI+aRC06vwVc+uS4xwTngD+NDv3oLvlBM55bNL+MKdw5LFlmxGwU7y+KPl5+WJCjacHgQD/zrADYcGYQkAe9eVY3vXb8cgLq7jdHYPjQISZLAMAysHIvF5R5sPTGqd7PSTl2BM7HcMxjQsSVEpmislJ2KjlC06JzRTj9TH9eZ/vJZxJ+l2qgMUl8k982GTRh9BgBVTvn8OBDOfIWxg1d3zfP7xqati+u+RQgCEFV5D+u2Yzgy/Rw/Eglgv0+fAe3WvDJcVbcMQDyW1lw9TXPwYPsB1LidqHPHj/ebF7VgcUEeHjt4zLRiQjOxokiuhn/ueD8e2UMTm2o4FLHHo35zXs+MgHZsrPHQciqayY1SDYbVjhZViz/jFeMS5FQ0HYdF3j5BcioiToF0nI5uW9KYEBRJkoR/HBrAp/7RPv9fRGQtvrCAiCAmxlG/s2Ypnj7ehZe7B6hfTahi51g8ePESNBUkzYt9EcBPdWoSQRBZDImKCIIwO4lRz/ISEhVlgpaGAvz07osTgqJQVMDHfrMJHSacdB4NylNuliyqmjQKd65vgsMiD5L++MUD+MEL+1Wjo4DsyLKOiSJCggDHREX3hS0lOSEqqsyT489IVJQbKJ2KdvVNFycQp4amu9AczoMGNipCXaEsuOkLmTMupsAmO7kNhvQQFVlU14/7U3ca8eTlqa73R/WbQC+0yfvQWFRNCkXoTUAQ8Mi+Q7hnVVz8xbEMLqwsx7nlpfjMxq3oGKd+g5GxKgQKl9SWIBQTEIrF+7shQUQ4JiIkxB8HYyKCMQGBmICRcBSj4RhGI1FETeRUqwYDwK5wKhodp0m9dKF0KjL6XsXNl1ORhjgJAGIqx5ZyG4XJiWcaDkVUIYmKiFSRFGee+R6eOrOsEMsK5Xvsn246ju++eXSev4XIdsKCiGcPDuCq1lIAQKnDjo+2NuIjLQ0Yj8Xw24PH8UwHOYcTcRgA957VghWlXuXqewF8V58WEQSR7ZCoiCAIs9M5uUCiovST77XiiR9dmajKE0UJn/7DNmztMGcUhdJOPBsEL0bj3OrCxPJft53A95/fP+01gqQctMmOjbxvdBgriuIxH1cvqcAPXj4Ik8+loMQlT5r3kqjI9NisHKoUkaIbO80vnMsGNOPPMtyOVChRRCf2B80nPgYAhyK+YCCc+cggO6cuKgr4Uxc4ebxe1fX+mH4T6IU2uX/fb1JhmhnYOTyKN3oHcEZZcWIdz7J44PSVCAsifn/4GP56/ISOLSS0GIlEkGe1JK4xVzamHk3sj8YSIqP+YBjd42H0BMI44Q/h+FgQHf5gVguPlNFnADA0SueidJGk0zGyahqAhddwKhJSjT9LzakoKf6MnIqmYePJqYiYO+k87dzQXJ1YHghESFBEaHLPqwexuMSF5kL5PohhGLgtFnxy0QJcXlOOr27aTc5F84yxex3TYRngzvXNuKyxVLn6IQB36dQkgiBMAImKCIIwO3L8GYmK0grLAs/8/Do4HfLk1Tf/3o5/7u7RsVXpRRCzT/BiJJQ54L9/Wz1KIXkbZwdPHz+C5YXFYBgG1fkOXNBcghf29+vdrLTitcv/yz4TupIRydRXeBJV0JIkYVMXiYrmSqoxHlOvNdk2sDUVr13uM/SaUBBS5XQmib30cCqyc+q3/IHx1NrCsCzsTof6Z+koKipQOBWR442xuX/XXrSPVGBtSRGWFuYDiE+A2HkOH2xuwO7hURwcy7zwjpiZF7p6cGNr0yl9htvCw23hUe0GAM+052OiiCO+IPYN+7Fv2I/9I+PYN+yHP0sm/JX3NADQNZD5c32uYA6notSEPjOLiqZvBWW/I0qiomlYFaKicIy2DzF35nMM8IyyQizKl6+P975yaN4+mzAf/YEoLn18M65oLsWVLaVYWeFFnk3ui9S6XfjVOavxtc27sXOYxmpyETvH4rvnLsSFdcXK1S8CuAXG70IRBGFgSFREEITZSSgVSotcYFkGYhZXQRqZx++/AmXFsnDr128exSOvH9GvQRlAzW6cmB12nk0agukaVReiKKsvtVw4jMaJwDiGI2EU2uKRYO89rcr0oiJljF0/iYpMT2OVHIEUESRE6Fw4ZziN05pWNMbU+ankiEgNpyKDVvKzLGBVbIA+EzoVLS0oSCyPxyIICpmN57KynKZTUTCQmgDH4XSAZdVdF4J6OhVZZVHRAR9FMRqZmCThmY4u/K2jC+9bUIeraqthnXA3ZRgGF1aW4eA+EhUZjR1DyZNRm7pHYeNY2HgWNo6FlWNgYVlYJn5zDAOOZcAxs++78yyL5nwXmvNdeFdDWWJ9pz+IfcPj2Dngw87BMewd9iNsQJGEVyEqkiQJoYjx2mgWsqmQR0tUJEmpioq0/2bhJAIlg3YBdcWi6HuGskS4SJgXjgEurirFZ5cuSKwbDkbx5/19OraKyAYigoSn9vbiqb29YACsrcrD3ec0YfGEozTPsrh3VRtuePktjMVi+jaWyChVbjvuP38R2oqThPwbAFwNgHYGgiBOCRIVEQRhdhLxZxaeRXGBA30UzTPvfOOOs7CyTR4AfmlfH+55Zo+OLcoMykG8LNG7GIYbFlUlJhqigojuEXWHimx0KgKAV7q7cHV9IwDg4pZSXNRibrciZcUniYrMT2O1HIE0HMqsSMJsWLjUojH4KRNLomK2iOXUK9kjBq3CXljmSZpwNmN0VbMiLmwwlHmxhNti13xuZHA4pc+yO9RdigAgJOgzNungLLDzsmhq1xBV4mYDEoDHDh3Di129ePDMNYn1wRQjgYjMMBgOJz3+wkv70DE2u/N1vo1HrdeBGq8NFW47qtw21HjtqHDbUWS3wGPjYWEZTfFRtduBarcDF9bEq6xjooj9I+PYNTCGnYM+7BocQ4df/2uH0qlIIKE1MYGWGEhK0amIYdT7ioDW/qboG84gSMpVeI6cioi5o3SZFWap2iu0WdBW4EGjxxW/5iEem1los+K04jzkWeW+rCRJuPuVg/PdbMLkSAA2nhjFu/6wBbetqcPt6+oAABaWxf2nL8eNr23Wt4FZTLZdRc+rKcS3z14Iry1p2v9pAO8DQFaaBEGcMiQqIgjC7PgBjADIB+IRaCQqml9uuGox3nNZa+Lx3h4fbn18a04MqObC35guPri4KrH88r4+RDSqjpVuUNkk3HruxDFcWlMH28Qk/w+uWoIbHt2M7V0+nVs2/0x1nRrUcJ0izIPSqajTp/9kXjZj0YrG0Jhcn1r1rrwMcRoxV1GVaAwjsKpWdvHxRSKmFBRUOmUXnQEdos/cFpvq+mAgiFCKzlAOl1N1vSCJEFJ0XZgvlNFnkiShO0jno2yBAXDzoubEY0mS8MzxLv0aRGhimSJo0NDCqjISjmGkfww7+rVdxOwci7NrCnBOTQGWlHhQ47XDa+VVhUY8y2JxoQeLCz14DyonviOK9iE/2ofGsHtoDLsH/RgIZdY9zW2Rr78xAzopEfqgFXErpmgfxGi4BALqTkQsxZ/NiFKgrzUGQRBaKA9raRYJQlfWluPWtoaEM+NMiJKEL7+4H3/aRy5FxNyIiRJ+sPEo7DyLT6yqAQBUOB24f91y3LFxu86ty36M6gA9yX8srMBXT2+a2v/4EYDPghyKCIKYJ0hURBBELtCBCVFReYkL2/ea1y0k05y+ohJf+9T6xKBv/1gYN/56E/zh3OirZquLjt7cvb4ZeTa5GuuXrx/VfG3yNs6erSwC+PneXbhl8TIwDAOv3YKnPrwWD75+FD9+9RAiBp3knwvNJa6kiZ/eIRIVmZ3GKtl9Zd8AFTudClpORcIsnIqmxrlqORXFUqyIzxSLy+X9qM+ELkUAUGiXnYIGwzo4FfFW1fVjoyMpf1ZBYaHq+oCO0WdKUZERI5EIba6uq8bSwvzE41d7+jEU0W9fIrRZUigLiUVJwtHR+T1fhwQRzx8dxPNHB5PWry734vy6Qqwuz8OCAqem0CjfZsH6igKsr5CFqr2BMPYMjU04Go1hz9AYQmk8R3is8vU3EqVzERFHM/4sZaeimeLPpt9TKl9P8V7TUU62Upw9kSpJ0dMnGZ9aUeTF7UsbwZ2kOk6SJPQHIrjtn+14o5NcN4lT53tvHsHyMg/WV8f72i15Hnxl+UJ8a/tenVtGpIsbFlfhS+sWKFf5AdwE4HF9WkQQhFkhURFBELlAJ4ClQNypiJgfykuceOTb70hYaoejAj7+u03oHMkdQQENQqXOhTWFuKZJjsr79/4+vHl4UPP12byNd48M4Z8njuMdVbVgGAY8y+LWsxtx7bIK/G5TB3751nFTWK63TmS2A8DIWBjhCA1emx2lU9Hmbhr4PBW0nYrUxbm8YlB6aqV7tjkV1RfJghAzRp8BgEMh9DKSU5FvJPXjtqC4SHW9PxpWXZ8JCm1yv340SlGM2UKexYL3L6hLPB4IhXH/7n06tojQIs9iwQcW1Cced2TQnXBTjw+bemSHTysLXFBXjIsairC81INKt13T+aHMaUOZ04bzqydj0yQcGh3HHwPuuAAAIABJREFUTkVs2vGx4Cw8JmaH0qkoQiIOYgItHYGUorsfO4NTkZqoSNm1DNJ92TSU/xaju04QxkN5/3UysdBVdRVJr+nxh+GPCGAYIBAV4AvHsLvfj4e2dKI/QMJqYv6IihJufGYX/nDdciwp8QAAzigtwlW1lfgrOYOmhFI8aMQrBgPgtpX1uGl5rXJ1B4DLAOzSpVEEQZgaEhURBJELdEwulBWTqGg+4HkWf3nwGlgt8mTZ557cji3HU698z2Yo/iw1iu0WfPecRYnqyaHxCL741M4Z35PtblB/OXYY/mgE19QtADcxIFyV58AXL2zBe1ZU4WevH8Eze3oRzOIJiMYi+bzaN0TxkmanvMgJl0N2Gnv9+LCOrcl+LJz6mU2IqYuKlFXvU0VFWk5FRo2+KPPKgpcBE4qKKhyOpGr4wVDmnYpcvLqoaGw09SjOvIJ81fWjEf3E5IUKp6LeFOPcCP2o97jAKybJ79u+R8fWEFqcUVqMD7c0otgeP49IkoT73z6iW3siIvCPIwP4x5GBxLoKtxWXLyjF6ZV5aC10o9hpTXL0m4RnGbQWuNFa4Mb1zRUAAH8kFo9Lm4hM2z04NufYNKWoiEQc6YXVEGMbDSuvLQQSU+6XaamT1L9X6VTkC+WGg3QqKPchowrvCeOSSvyZi5fvzTZ3j+KaJ7alq1kEMY2xiIAP/nUn/vqelaj22sEwDG5sbcArPf0YjlAxxlwwmg7VzrH45tmteGdDiXL1UQDnT/wmCIKYd0hURBBELtA5uVBR6p7pdcQs+cMDV6Ao35F4/MC/DuDpHd06tkgfstlFRw8evWxFoqJYFCXc8cdt6DlJxXOScOsklWBG5YWuTmzs68VtbctR7XInBnobilz43pVL8PV3LsTmjhGMhqLwhwX4QjH0+UPY1+dHe68fw8EIXFYe45EYjLjLVefLk7p9wzSpa3aULkWCKKHbT1WVp4JFo/pc1Ig/SxYVJT+XbaKiAqcczTUU1s/tJl0sLZCjeAKxCAJCZgdvrSwHC6u+T6TqVGS122BTRLkpGTOIU9HRMYpizBaGwsnXja+d1obfHDiKF7t7dWoRoSTfasHHWptwRllx0vo3T4zgb4cGNN6lD93+CB7e3omHtydu99FS4MRlC0qwrjIfTQVO5NnUY9PcVh7ryguwrlw+V/cFwtg77Mf+kXEcHg3g0Og4jo0FT3rP51AISMixM71YeG1xtZEo8qiLegEgGkntusnz6kP3EZX+XZXCBRIARoM0cTwVZV86ZALXYCKzsNC+F5uKLyqL+tQErwSRbvoDUXzi77vx1LtPg41jwTIMPt3WjK9vJUH/bEkWEhoHO8fiJxe1YX1lgXL1bgCXQlFcTxAEMd+QqIggiFwg0Zmi+LNT5xt3nIVlrbIK/h+7evDDf+3XsUX6keSiwzBgAdCwlDr3nd2KSrc8IfmTlw/i3/v7T/o+5WBxNg/DjMWi+Ob2TahyuvBfzYtQqxAXuaw8zllQfJJPiO9vhwbH8czuHjy6uRODp2CR/dG1tbhueSVYhoGE6dbvkhS/YZ6svpt8mmfjMW48x0wsMyhyycKAXnIqMj2NVd7Esj9C1c+nipZTkShqiIpmjD/TEhUZafhLxmWVb0UHTSgqavLKx8qgDtFnWi5FAOAbTU1U5M3L03xuPKbP/67BU4QSu1wssG90TJd2EKnTMR7APzq78c7quGNMntWKW9ta8M7qCnzhbari15OFeV58afli5FllR0JJkvCvo4P45HPZMQG1fziA/ZuOATgGAOBZ4PzaIlxcX4wVZZOxaYyq0KjUaUOp04ZzquS4R1GS0B+MoGc8hO5AGN3jYYyEoxAkCYIoQZAkNOfLYwyCQYW8ZsGicP4wsKYI5QUO1fVCLIZgMDXnQotNXdQbUhGw1ZfJ18VITMRYmPrqU1H2vUl0RaSK0ulKOMlJaM/wGC6uio+dLi52w86zJGQjMs6OPj8e3tqJT62Ox2OtKFJ3nyXUSYo/M0jHg2WABy5YPFVQ9ByA9wBIPeecIAgiBUhURBBELpAQFZWTqOiUeM+lrXjPZa2Jx+3dPnzmiW2GHtBLJ1PdH6w0SKDK5Q0luLReFqK9cWgAP3xhdkI0s+1aJwLj+Pb2TVhaUIRr6hpR4XSpTmqowbEMWkrc+Mx5TbhhdQ1ueWoHNs4heuq0qjx87ZLWWX9vKvQNkVOR2WmslsUFPX7zCUEyDadxHGo5FSlfPfXay2q40sREY16XlJM66XIqsrIsvBYLAoKAUCyWUeFvtUvucw6EdYg+s1hV14dDIURCqW1vb766qCgqCohoCODSzdllTUmPdw3lVgRvtvPIvkNYVpiPSqc88d7kdaPB7cIRP7lO6cG19dV4/4L6pOvSaDiK257bgze6snd+IiYCzx8dxPNHBxPrShxWXLagGGdVF6C1yI0Sjdg0AGAZBmVOG8qcNiyfxfcZ2T3HDPCKvoNoRAvXCSqnOAZNEvD7Ur7BtTvUP2ssMF0QU6OIpR46hQIUs2Ln2aRz3MA43csQqaG8VJzsfP9G7xBubWsAyzCwcCx+cXkbbvjrzjS3kCCm8/iu7oSoyMKyuKq2En893qVzq7IPo/Q6blhchbOqC5WrHgPwQQCkJCYIIu2QqIggiFwg4YdeWuQEyzKGHoAyKvVVXtxz+5kJIcKAP4wbf7MJgRy2eBem7EcOjkRFU6ly2/GNM1sS+02fL4RP/37brGO8zDouv3N4EDuHB2FnOVxUVYMKpwsOjoed4+DgeXgsVrh49bgGAChx2/C7/1yFW57agX/u60vpu4NpPGZf2tR58hcRWY3SqejICInIsgEjnkcbipxJ57f+0MxRmHPh8upq/EdjY9L3TFYXSorHIuKTApIkQZhYFkQRgiQhJsVdKGKiGP+RJERFMfETmfwtCAgLAkIT68KCgFJFXJiRnIrGRn0pf5Ynz6u63q9j9JmNk4cygjEBvhiNoWYTMUnC1zbtwHUNNbi8phJA3PXzvrUr8MW3tpGwKMOsLy3GDU0NiceSJOHvh/vxmRf2mtKFtT8Ywa93deHXu+QJtZYCJy5pKMbqijzU5zlQ7LBqOhrNhJrQg5g/lE5FRhZw1ZW4Vdf7x1IX6Lk86sLeIRVxf3WxQlQ0TqKiqVzaVp44psMxEcfIZZdIEYaZffxZTzCMp4/34qq6cgDAObUFWFTkQvsg9XGIzHLcF8Krx4dxdm3c2ebdDdUkKpolMxV1ZRoHz+ITy2tx47Ja5eqXQIIigiAyCImKCILIBRJORTzHorTQgZ4BGjxIBZYFfv/DK8BxLIC4Q88nH92MEzk+oTzVqcg+sX2IOCyARy9dDp6NbxdBlHDb77eiPwV3E6PYy6aLkCjgmY6jms8X2+zIs9owFo2g1OHAJVW1aPbmg5modvvJdctwzS83YlfP7GNf9vb78XbHMNbWJlW24Ff/NxFrwcQtfifHyyYHzhjEHU+iMRHR6MTvmIhoTEBUkLB5Tx/2HBlK5c8nspDGKnliY0cvxQ0Rc2NFtWy7HozFMJ4GQcjFVVXTJoOV57OJFVD3d5pfBsJ6iIrUnYrGfKmLirScivSKPpvKE0eO690EYg4MRyJ4eN8hnBgP4KaFcecpC8virpVL8KFXNurcutzinHLZUTQmSrjntYN4vL1bxxZlnv3DAewfTj6XOHkWy0o9aCv2oKnAgVqvA2UuG+w8C5aJuxixDAOvlQc3YV+x/cCAHs3PGZKcigx8m1iarx5/NjJ08vjvqbg96lE1/aPTBdnFXlnQTE5F07lqeWVieVf3KCIGjQgmjEsqTkUA8PP2o3hndSlsHAuGYXD9ojLc+9rhNLaQINR5aEtHQlSUb7WgzG5Db4rutTmJ4pjX84pR53XgB+ctwsKiaaLlN0CCIoIgMgiJigiCyAUCAIYAFALxCDQSFaXGg3dfjKICeWDsO//Yi7ePph67ZDamOhVZSVSUxG8vXY4ihzyp+b1/7sWGFEUnRq5AzQQD4RAGwvEB475QELuGh7C+tBz/1bQwISy6aX09bvtzajba//HrTXjrjnNR7JadLDbs7MG/3ianIUIbp51HpSJGdENn9sahEPqyqEJ2vhlIg0sREBcnGAFRkjAQ0iP+bB6dirzqoiJ/jCYsiVPn2c5uXN9Qg0JbfJ/1Wiw6tyj34BXnS184mnOCIi0CMREbukax4STxby+/fy2qPHExh4/cYdIKy053HzQa+S5rkvhJiX80tTEUlmXhcKm7HnUPTx/TctnlYf5Q1Iw+Y6fGCkWM86qaAnzl4hYIooSoKEEQJcRECaGogBf29eOYyvYlCEahMBBnITHwxwQc9wfQnBc/jo151iJygdc6htEfiKDEaY0L3Bqq8dP2Q3o3y/AkOxXpcwSfX1OI7567CE6LajlUh9pKgiCIdEGiIoIgcoVOJERFbqA99QqxXOXdl7bg/NNla80X2nvxyGtHdGyRcYhNERXZeGNMYOrNhTWF+H/rm1FolwVFz+3uwf+8knpFlnILpxY+YF7e7OtBg9uLcyqqAACXtJaCQWoDVCKAqx7ZiJduOSshhvv+HWfh2s//HYdPpD7hTOQGDZWyEESSJGw5ySQbQWjRqIjnGAinp0KSVbgUvdy9H3tHesExLHiWjf9mWHATy1rrJ5ctE6+Z/noGPMOBYxhwLKd4LwOOYSFKEjYNHEcgw+IbFgwcnLowY2w0teOWt/BwuJyqz43rGH9GmAvlGD3DMOBBJbeZ5JXuPqwujjtYFjqs+Pa5zfjyvw/o3KrsQVlYEgznbjR4JuCSREU6NmQGirzqol4AGPendp/lmnCoVaNvZLoou0Yh/s91V2k1PPbkvtFNZzSovu5TZzfi9B+8TE5GxDQExYmnyevCOeVFsnMd4n0YFvHHzMT6SUERANhpzJDQCVECXjg8iPctqQAAnF1eTKKiWaAUEupxRbi6qQz3nNmS1P8B8HMAbyJeRP+kDs0iCCKHIVERQRC5QgeAZUDcqYiYHTUVHtxz+1mJgawTI0F87sntOrfKOEwVFVkN4oqQaeo8dlzWUIJ1FQVoznfCa0serGvv9s15vxGN7GuvI72hU6+cPOEL4RNPbMMj7z0NDMPA7bTiwS+fj+u+8Hf4A9F5aCVhNuoVoqKwIILqn08dQWNGjNG4nigrYtkpk0ySpP4fsRjQRa9G4X7YnyanIuX2CcQi8EXT8z1GxKkRfQak7lTkyfNqPqdn/BnHyPu1oLHvE9nDUDiCIrs8Ef/uxlo8fphi7TLFa739OK+iFCsnhEVXt5ThzlcPIEaH1qywKCZ6gmGSw6UTpVORUR1tvQ51UW8kHIIopCY6yy8sVv+smIghlUhxj+K7+8ZI+DuVUEyAy3ryqZBCpxVfuqgVf9rRhV3dVHBDyCjdyi+tKcOlNWUpvX9xsbrzGEFkgifaexKiIjfPY1GeB+2jFGk/WzJZ6GrlGJxXXYRvnt2qXD0K4EMA/pLBphAEQSRBoiKCIHKFhB1kBYmKZs3vf3gF+InJyJgg4tbHt2KExAYJpsaf2TlVK1JTsbo0D+dUF2BpsRd1XjsK7JakyISpvHVkCJ96bAt8obkNsBtzqFhfrCyLd9XIVZX7+v1z3k4vHhjAg68fwc1nNQIAFlTn4fu3n4VPfPslw1b/EvpRV+FJLI/M8Zgmkpl6HZmEZdWvJ2KSm8eUzxIE8CrzWFOq2gxBqUcWD/QG01NJr7wyaYm3zIqWqEgURQT84yl9llb0mSCJCAn6nAd4hoXXak88PuRL7W8ijMcj+w/hO2tWJB43emjSLZNIAB7aexAPnbUWQDwO7dqWMvxxb6++DcsSeBIVZYxscCpyaIhWIuHUxc0ut/o1+FifX/Xvd9rk7x4JUBTfVP7zl2/hsxe3wGPj446TLAOOje9XPMuitlB2ZvzI6XX4yOl1eGxzB+78W3vO9SUJdXyhKADHSV+nRUuRuvsnQWSCzd0+HBkJoCHfCYZhcGNrAz771g69m2VoJOVoa5qHVRgAK0q9+MLaRiwrmVbY0wPgEgA709sKgiCImSFREUEQuULn5AKJimbH/9xzMUoVN7z//dw+bDk+rGOLjElUEBMuEDZ+bncYJQ4rLqgpQp3XDjvPwWWJ/9hYFlaOBc8ysHIsJAmIiiKiooTxqIAd/T48caAbQ2ma3G/Mc+CCmiKsKc9HS4ELhXbLNGcMLfb2+PCD5/fjuT2nNhlBY3fJ8GDx9ZXr4ODlLtwv3jx6Sp/53ZcOYlVNPtbVxavTL1xbg9veuxwP/J5cyYhkaspkUVGPSnU0kTpRLVERry4qigmybQQ7RSwkxNSvBVYD2uy7FZNeaRMVKa5XueZkoyUqGvf7IaV4YXV7ParrMx3ppqTAJvdPJUnCvhGKYsx2wkLyMXpkjIRimebquuqkxx6rutsKMR3l9SYm5Nb1JtMki4qMeaPIcer3y0KKLkUAYLWrixcGfOoCJZtF7j+OBKkYbCpbO0fxn796W/P5l+84B/VFyeOF719VAzvP4TN/oXlcAvja3/bgkfethMvKQ5TicgMp8Xty/Cr+WJTizxU45X65y8KDZ0FOgIQuSAB+s6MLd53TBABoyfPAybMI0A6pSaZ6GqVOK358QRuWlKjee/sAXAxgV4aaQxAEoQmJigiCyBUSTkUUf3Zy/uuaxbhgfW3i8cv7+vDQq4d1bJFxiQkSJsfuLLOIP6ty2XBJfTHWlOWjucCJYod1RqefmTinuhCfWlGHYEzE8bEg3u4ZwTOH+rBneOaJGBZxtxsrz8LGxYVLhXYL1pbl4YzKAizIdyLfZknJ3aJ/LIxtHcPYenwEG48OYfOx+RGgabl45CIsgLtWrkWhTXZn+NOOLjxzisItAHjfbzZh4x3nosQddw+59T+W40DHKP71dgcYxMULLMOAYQGOZcEyAMMwYNl4wnj/SJAEYDlAbbnsHHF0JD1CkFwjojH5yKtZDiFZhDR1zkqIqU8eOSzGctGz82ySq0O6REXKzWPUiJR04bHYVNf7fanb22uJisZ1FBUVKkRFUVEC+YJkP+tLkyN+dg2P6NSS3OS9jbW4tKYy8Xg8EsNvd3XO8A5CifIaY9EQBRPzQ3L8mY4NmYFM+EMKgvofrxSSk6godT7wy7fwo/euwIJiF7wOuaDq2uWV6POH8Z0X9uvcQkJvtnSO4rTvvZTSe/IdFmz+3PkTzlgMzqsrxAtHhtLUQoKYmSfbe/GF9Q1wWDiwDIOPtjTix3sO6t2srIBJ0xWeZYD/vXQ56ryqQuJxAJeCBEUEQRgEEhURBJErKJyKyE5/JhY3FeGrn1wPZmIApXM4gDv+uI0EAxrERBFAfPDYxiWLg/KsPC6sLcK6inwsKfag3GmDlZtfxwiGYeC0cFhY6MbCQjduWFwNSZIQESQwDMAxDCbHXplZugydjKOD49jT5cPeHh/au8fQ3u1DZ5oEBvHtSwDAl5avRolDvsl86UA/vvj07nn5bBHAlQ9vwL9vOTsxGP2jz58z6/ef6PPjvV/+B3oGA/PSHsKYKJ2K9vb7dWyJeQhrVAVyFnVRUUQxicSxLBjI1XOxqPrkkd1gTkVLq/KSrkf9odTjQGaD8juEHLuW5FnVnQ3GRn0pf5bbO816HYDeTkVygYBfQ0xHZBfBKQ4ed69aBgBoHxnFz/cexFE/9S/SxYrCfPxHY13i8Xgkhnf+cRMiuXXaPCWUd1hUEJFeOEUxjlEFw5r33HNor+ZHabxeWRQ0SqKilDkxGsJ1P98AAPDYebz22fOQ54j3yT9xZgNqCxy4/+WDONBPbnrE7BkJRnF4cBzNE2PRZ9cWkKiI0I3RcAx/3teL9y+Ji8nPLS8hUdFMpDn97B31xbh9VQNqkwVF/wbwOwBDAF4HQHnEBEEYBhIVEQSRKyScikoKHeBYhgb8VLBbWfzu+5cnKgDDMQE3P7YFwwEakNIiptiPPtRWjQ8sqkS5y4YiuxUWlpm1kMcXiuLowDhCURHBaAyBiIBQVEQkJiIqiAk3CysXdxgqdtuwuq4AXsf0iWeGYeYcxTaV/rEwdneNYlvHSPyncwQjGdwfohpVmLnGexuaUeuWBR1vHBnCJ57crhmdNBe6x8K46Y9b8av3rUxZgFZV6sb6ZeX480vkaGZWLDyLskJ5oGNHX+qOJ8R0ghqiIl4jvmqqsxHHMonrUDSiHknntBnrlm9ZVV5ieTgcRixNk4JKKVUuxZ9xDKMZfzbU35/y57k96mJ8PUVFhVbZqag/RFGMZuDvHV04o7QYzXnJzliL8vPw/XUr8dVN27F3lK476eB9C2RBUUQQccWTW9Azrt/xnY1Q/FnmYLMg/mx+Ub8nE2dxDxiMpB63RsiMhWK47Cev4V+3nwP7hOvnZYvLcdnicvz8jSO4/+VDCEZpGxOzY1/vWEJU1FxA7vmEvvx6R1dCVOTgOVxUUYoXuvt0bpUxUV5t56lON8FHllTjs2sap67+J4B3zu83EQRBzB/GGmEmCIJIHwmnIo5jUVLkRA9VF03j9w9cCY9Lnoi6++k92NE5qmOLjE9MIXpZUqweETKV4UAEOztHsfNE/GdX1yg6h1N3+mEZYHGFF6fVFmBlbQHW1BegusB58jdq0D8Wxq6uUWw5PoxdJ3zY3TWKvjF9J+uU4j+GYcAi7qrz/9k77zi5ynr/f06ZPtt7y+5mk2x6DymE3nsHAREVVK7oRRAboPzsig0FvKDe6/UqIFJURAU0tAAhBBIS0stms7vZ3qfPnPL748zMOTNzZlumz/f9IuypM8+cOXPOc57n83w++YSZZXFqjRpJ8WHPOG59akdch5MT4bUjQ/jZ60dw52kt0xYWjTmpAyqXqS6zggs6rcmyjA96p+94QsTijfM7Nhj1RSGCJEOW5fDv08CxECSlQyOeqKjInFmPfHMrVZFKslyKgEingEx1M0gGljiCIgAYGRya1muZLOa452J6nYrUuk6XixxscgG/JOGe93birNpqXNlUj0qLGvXKMgy+t3oZxvwBPNveiRc6u9NY0tyCZxjMK1LdyL779hF0OpJ3Xc5VtFVmIQn1c0JFG5+aqYPE4hsVJbe8LBtZ9/GRwO2EOT7mxVk/fwP/uH1j2LEIAD69oRnntFbi2t++iwESYRJTQHu5YpOToEQQU2bfoAvvHh/DScHBPjfNbSRRUQqxGzh8Z+M8nNNUoV0sA3gSwOfSUyqCIIipkVktzARBEMnDA2AIQBkA1FTYSFQUxT3/sRaL5paH5595vxNPvNuRxhJlB8MuPyoKTHHXe/wi9vaM48Pjiljng85RdAwnpgNMkoHd3ePY3T2O379zDABQZjOiscyKigIz/IIEpy8Ap1eAyy+GRzTKUGLFREmGIMkQRRl+UUqKSOVECUQ1hhpZFt48i7G5smkOOEYRc/hFCbc/uxPuJI6K/MXmNvx2awfqSsyApIwIXlVfhIAowyOI8AsSPAERflHC4x9dHW687ughB4Fcpq5CHVEpyYCTclESQrzfstFs1l0OKNfwUFu0kWfDo6S9bv16TZk9/j0qHTSVqYKQIV9qhKtCHjkVWTj96DxJkuCepgCnrKI87jpXhoiKjoxTFGOuIMgyXjreg3939+Ka5gZc3lgPE6e4QzAMg2KTEZ+cp4zmJWFRYigyRl4vnj9M6QozIcKpKEOFLrkCr4l0zVRRERtHVSTHDS2b4LVY/QhbPbG01RjZxO/PwGf7bOT4qBdrf/gKHv7ICpw5ryLsltVcZsPXzmnFXX/5MM0lJDKdUqsBp2vaWttGSRBPpJ/f7ToeFhWVm024qL4af+/qTXOpMptE6AHtBg6/OW8JllRERIy3AbgQwIEEvAVBEERSIVERQRD5RCeCoqLqCrKb1XLmugZ8/MrF4fm93WO476+701ii7OH7L+7Dl85tBaA4/Qw6fTg+6sGhPif29oyjfciFVLZ3Drn8GMqh0XIxoiKOh1fKnc83FVZXVIan/7yrGx0zcLWaLg6/gP19TtQVmfH65zaCj9OgraWznzp2c5lajbuMRyCr/0Th8Am6y3mDERxvgCjExk2KkgyWU5q0zAYWY8FLgtupL+wrtRrAMECmmPVUFaqCqcFkOhVppqV8EhXFcSpyu6Yvpi8pK9Nd7hEDCEjpuQ6YOT4i3m3PCDlq5hqiLOOPbR34Y1sHrmisxw0tjeF6CMMwuLyxnkRFCcIbVc9eXF6Ad7rpN3UiSHk2+CHV8Fzmi4ri9jrOpCIWT6A0hZfKlHpfLuAVJNz6h/dRU2jGs59eh9piJRL6ymW1ePqD49jSPpzmEhKZxsr6IsypsKPcZsQli2tQaFZEvLIs45FtNHiTSD8vHhnEwSEX5pUp/SM3zmkkUZEOMxEEx6PSasRvzluKluKIhIG3AFwPpc+KIAgi4yFREUEQ+UQngOUAUFNhn2TT/KGi1IKH7j877DYy7gngtse3wxugBtGp8NqBAbx2YCDdxchZ3P7ITssCgwHjgfwRFa2vrIaVV0eRP/XB8ZS+/5VLaqckKOrqd8LnJ6FJLlNbropxx7z6Qhhi+ox4Y0VDISx2O5yjIzHL/aIEQ7BTzcxz4eVup34kHccyKLYYMOKO/16ppMyqCkKSGX+mRcyjnrV4TkVu5/SFn/ZC/VjXMX/yxa3xKDGqjbCyLKOD4s9ymj8f68LhcQe+tWppeBkJWxOHSxAw4PWiIuiO961T5uLcp95Lc6kIIj4GjVORkKHxXnGdimZQF2HiKJT0Xita0EYRS4mnZ9yLU3/6Gvbdf164Lv6/N67EZ5/eiU0HqU2IAIrMBvzqI8uxtrFUd/0/jwziOMXGExlAQJLxzTeO4PErlDp2kdGAixtq8EJnT5pLlrkw8fJNp8CCMjsePGMh6gsiHKl/CeDzADKzQkMQBKHD5L1EBEEQuUNXaKKGnIrCPP3QpTAa1E7JO//0QcLiuQjiRPEJUji2DQDsBv3O0lyk0GDEDS2t4fkPjo9he1dqR4+hCpa3AAAgAElEQVQ/vr0TwiQjrp1uP37xx50pKhGRLmo0oqIBNzWEJooxrxA3KsVq1xd0eDVxFmbN/dvjii8aKbNlTgSa1aiWOXWiovxpp4snKnI5p+9UZLXp15fdaYw+KzWpZfKTI0heUGKKdN96vK09PQXJUZ49Gn5ERnOxFTcvrk1jaQhiYiJFRZkpGI4n5pmRqChOB6Ze1TE67YwlVVFSECTgwU2Hwt+niefw8NXLsLimcJI9iXzg6+e1xhUUHRxy4bP/2JviEhFEfDZ3juA9jUPljS2z0lia3KTcYsS961rw5EXLowVF3wUJigiCyEJIVEQQRD4RtpKk+DOFn917Buqq1E7LR149jE37+9NYIoKIRdvhzp3AyJBsggeLry9fA4PGJegHmw6mvBzD7gC+/PyeiEbwd/f0YeE1f8DCq/+AJdc9gdU3PYXnXjmS8rIRqaW6THUH6XH40liS3EIGMOzRdxCy2PRFRa6A6tJh1nSuSaIIr0dfFFxVmBmiIjPPgtN0ciVLVMQisiNOyienIj6eU9EMREV2/fqyJ42iohKTei0a82eG+xaRXNodkefuugr9WD5iZvy7uxdHHaoo9WvrW7CojJ6VZ0oe3W7SAs+p93YxY0VFcfPPpv9icUVFsa/FR7XwS5kaD5cDPPJGG77xwt7wM7LFwOHXH1kR4cZJ5CcbZ6t1FFGS0ePwYWffOL6y6QDOfvw9Ug8QGceP32kPTxcaDTi1qjx9hclAtLfb6bRGswzw8cX1ePHqNbhhQV3Y3Q6KiOguAPeBBEUEQWQhJCoiCCKfIKciDVecMwcXnT47PP/2kUH89N+pFy0QxGRoG005Jj+qLl9atgIFRrVR8uCAE8fHvNN6iE0Uz33Yg39r7NxPWlSF269ZCr8gweMTMnaUMJFYqjSiomNj6Ys+ykWGPPoCDUuBvqjIqYkaNBm4iBHxrnF9N7PaIrPu8lSzpK4oQuwzlCRRUXTrXH7IURWsvH6Hlssxvfgzjudgtlh013nE9EUglmpERf0pcroi0kuHy43NvWo9ZHlZSRpLk3uIsoyH9x5CIOj8xbEMnr5iBX557kJsun4Ndn3yZGz/+AZcMa8yzSUlCIDnNE5FGepWF09TNBPB2VRfa83cMjxzz1kRy/wZGg+XK/x+awe+9+KBsLCoptCMr50zL82lItKN9qf5X+93YO1v38ElT+3Ak3t601YmgpiIt7tG8UGvGqP+sbmNaSxNZjPVMa4lJgP+5/yl+NKa2bBo4uoBdAA4G8DPEl86giCI1MCnuwAEQRAphJyKgjTUFOB7d58a7tjrH/fijj9+AJFGsxEZiJhnTkVryisxK8qhZF6FHZs/fwo8ARHtw254AyJEWYYkK6NQJVnpFJJlGe93jeLRt9rhm6Qh+Za1jbh2eR0sBhYsw4BnGXChfwwDllWWsQwDU9TQ19uvXYr39/XjjR3dCf/8RGZSWaqKC45QRGZCGXJPz6nI6Rcgy3L4Hm7iOXiC7kXOsRGUVdXE7FNuzwynoiW1ajTEqM+HQBItHbTHiGPzQ5BqYvm44lunY1x3eTziRZ8B6XYqUsvV4aBrUb6wfWgYp1RXAACMLDfJ1sR0aXM48T8H2/CZ+XMAAAaOxTnNkSPVf3h6Kyw8hyf29qSjiBlN7j+dZCaZ6goVL7JMnoEIiolzdoWELJetbcDdVy5Bbak14n3dfgFOX/oEwPnCr986inXNpThrviK6vHRJDe79+174orPoiLzhw+4x1BQqgzluXFyLB7a0p7U8BDEV/vuD43jofOU5vdpixpKSInw4oj9YKd+QNVLBqdT3KixG/Oq8JZhXEvEsPQAl7uxRAGT7TRBEVkOiIoIg8omwqKii1AqeY/LSYYNlgT/94tLwKD9BlPD5P+7AgJPqtURmImqditjcb7Y/pbo2bmO0xcBhQZW+0CDEqS3l6Bz14Lld8Tt9yqxGfP3c1hMq54/uOBmX3PkC+kfItSbXMRpYlBaqTjeHh6cfo0TEZyhO/JmtsEh3uSwrDm4hkaXFoIqK3E6H7j5ltsyIY2ipsIenB32pq3eweeJyZzPE/56d4/rnRtzXKrDHXedNo1ORNv7s4Pj0hFJE9mLn1aYrnyROsCUxU17s6oGV53DTnGbd9QzD4Etrm0lUNAmZKnTJFbSHN1PHmsSLP5MTGH926dpZePi29SjSqd8Nufz45t/3IpCHbV3p4J6/7sbW+WcCAIwci0ITj4E0iq+J9PLbrR04d34VAKDEYsApDSXY3DmS5lIRxMS8cKgfX1rfhFlFFjAMg3uXz8dHX98K0kdGuuULkwzEXlBmx0NnLkSNPcIl+kkAnwMwnIzyEQRBpJr8aF0lCIJQMIQmWJaBxWyYaNuc5X9/eCHKS1THiR+/fABbj1LdlshcJK1TUR6MBW6yF0bMD415IUzTvn522cRubA5fAONefSFDPCRJhlPjqFJWbMFP7zoFbB4IvfKdipLICKR9AyQqSiS9cUS9RpMZJotVd522n8hkUB/pPC594YjVyMFiSL+7x6xS9fMkK/pMj3xwuQPiR595PR4E/NO75tsLC3WXe8TAzDpGE4DdYIpwqdk9TCNo8wWrRlQkkWojaTzX3oWvv78L2waG0Ol0473BYbzW0xdebzfyOK2B4ucmgs7P5KIV7GTqsY5b5ZhBebUDTXiWwUnzKnDdxmZcs7E5RlDUPuTCfc/vwck/fhXPTzC4hEgslQWREcMOcojKa7a0D2Nfn/o89qkVdWksDUFMDVEGHthyNDxfYDDg4XUrIzqOjSyLBUUTD3DMRbQDW/1xREUMgDtWNuGpi1dEC4q+A+BGkKCIIIgcgpyKCILIJ04NTRw+NgKHK/9GD33uo8uxbrkai/KvvX14bHNbGktEEJMTGX+W23roOQVFMHJqh+nZdzyP9h6lUaq00IiNS2uxoKkEJgMLlmXBsUpMGccC5540C4XBxmV+AqEPA2WEzTM7u/HJtUpeuiTJ+NZvtyEQkOAXJQiCBL8Q+iti3BXAzsNDAIAf3b4eV5w2GwCwbkk1PnftUvzijzuTcTiIDKGiWBUVSbIMNw1ZSyjxREUAYC0ohM8TG/HkE0QYg46DZo1YyO2M79xSZjeiK83OYtWFagxbsp2KZKgW5bl+7whhiyMqmq5LEQAUFOmLityB9DlblhpVUZokyxjy519dPl/pdqvXrhKjEUaWhX8GUULE5OweGcPuqMiL2QV2zLIrgvWzm8rwOrkuRKAVkWSq0CVX0Hbu5Utyu9XIY828ctSUWnVdkHZ0juKxzW14eV9f3hyTTCIqJRyf3tCMZz44ju7x1InniczilYMDYXfp1vL4zp8EkUk8f3AA57f04+K5Spxjg92KJ05fi5/uPoiV5cW4uEFxVHcFBNz21nYM58lzGK+57wZ0Bns2F1nw8zMXoqU4YmCnBOAOAA8nu3wEQRCphkRFBEHkE7WhiT2HhtJZjrSwdlk1/vPmVeHRbkcHXfji0x+QRTuR8Wgb53PdFefsuobw9OGusbCgCACGx/14/s12PP9mu+6+i5vLwqKi2zY04/oV9eBYJvyPZ5m4dvwsy8BqMuBXL+2dtIxfemQLTlpYibpgjNHnrl2KDw4M4I0d3VP9mESWoXW3oyiFxOMVJDj8AgqMsY9mVnshRvp7Y5Z7AhIKgvoci6Y3w+/1QhAC4PlYN8YKmykDREXqyL2BJDsVac/UeNe+XCOeU5FjBjFh9gL9kaiuNEZ6aKPPPAJFYOUT7w0OwyeKMHEcGIbBJQ21ePZYV7qLlTe4Nb+3AhM1I8ai3mNk0rolFe3tXM7Qhoy4xZpmXcRq4nDGkhrMaazRjcb+174+/OrNo9h2jER+6aRtMNLB9a4z5uA/T5uN53Z248evHEb/BIMHiNxE6+hJQlMim/jivw6g2m7C6holhr3AaMD9KxdFbGMz8Lh7yTzc8/7udBQx5WjbEQIa5a6VZ3Hn6mZ8ZH5tdFvDYQCfAfBKqspIEASRSvJjyCZBEIRCuFfUM83Yn2ynuNCI33zv/HBjlNsv4DN/eA/jXrJmJjIf7WCQXI8/ay1SIyX+ta1zWvu6o6zWiywG2E08LAYORo6dtFP9VI2L2WRce99LCAQ7mFiWwU/uPAV1lRNHrhHZi9apiDryk8OgW79eYo0n7Aio34MpKtbM49R3pSmz6wtOUonFqJa1xx3rwJRItFe8fGnPjycqcjlm4FQUJ/7MnUZRUalJvc+M5snoWELBK4o46lA7bhsLqM6RKlgAs+yqoG977/RFivkEdSAnF4bJfaeiYpsRS5tKsGhWCUoLTBGfWZRkHBlw4u7nduFTj28nQVGaMfEsHrl+RcxynmVx7Yp6bL7jFPz+o6tw95lz0FSqH2lM5B6ntZSHpw8NUWw4kT14BAk3/eVD/PPwwITbzS7Mn3q4tk0hVMdbV1OMZy9bhRsW1EW3s74BYCVIUEQQRA5DoiKCIPKJcO+VzRo7gj+Xee7hy2HWjCr9yrO7cLDPmcYSEcTUETWN8xybu1WXepsdFl79nb74Tse09n/omV0Qdex4p4Ikyfj9SwenvH3fiBdf+Plb4RHCJYUmPPzl02A05O73k8+UFanuMg4fiVGTwZBbXyBhsesLO8Y134OBYyPiQDwu/ft7mS29oiKeBThNo9twkuPPIsnRnscoLJx+/dbpmF6dj+M5WGz6nV+Z4lTU46FYkXxDWx/0zbC+Q0yfOpsVVk39tMZmmmDr/ESvw4lIDlnhVBSnzsFMMjimqtiC5bNLMa+uCGYjHyEm8gsi9nSP4a87u7G1fRjdo3QPzATuPnseNmoEJEBkdLuJ53BKSzk+d0oLXrxtQ4TYhMgtOIbBf57agq13nYYltUXh5Zvah9NYKoKYPq6AiM/8Yy9u/+deHBpWRHHRsV92noc5h9tmtWifP2rsJjxw6nz89/lLMavQEr3pNwCcA2D6o3kIgiCyCPItJgginwj30NdW6o/8z0Ue+/Y5aKhVOyV/82Yb/rarJ40lIojpoW2Y43I4wubUqnBCIzr6HNhzdHojTzfv7MWGz/wZp62ohQwZgYCEgCghEBDhEySIogRBlCHLSoeHFDyukiTjUNcovP7pddC9tLUTT/zrEG48dx4AYMmcctz/qbW495dbpvU6ROZTXqyKikbJ4S4pxHMqstjsusu9ggRZlsMdThaeg9OvfDcux5juPul2KppTURDRQTaSQqeZzOx2TCwWzgCW0W/cdemIihgoIh0DywOQIUG5P0CWUVRagln2Esiy0jka6riVACwtqYVfFpX7SPifBBGR85IsQwytC/9VpsWoZZJmWWhej1KNqKjdQSO/8w1nQL1OLi0tTmNJ8gu3IECU5XAd/NblDSizGPHl1w6kuWSZiZSr9jkZgtYRIEM1RdMqFwOgxG5CU5UdPBd7D3d6A2jvGMGRAScEzbmVw4/EWcVly1Sn3xGHDxs++2ewLPC9T6/FxeubIkT/ZgOH3964Er/f1omfvnoYY3nmnp7r3HPuPNyyrilimU+Q8PhuiognspO/HRrA3w4NoNxigCsgQpBkHPjsKeBZBgzDYFlpMbYO5r5oTvtc+onFDTGrAfwAwLcAUNYlQRB5AYmKCILIJ46FJuqq9Dvpco3bb1yOM9bNCs9vbRvCD/65P40lIojpky+iojlFagfZ1j19M3qNoXEvnnu9LVFFmpT7f7MNq+dXonWWUvbrzp2LHQcG8MymwykrA5F8yjXxZ0MeihxKBvGOq8WuCHH0RuNLmk5es5GFM/gS8ZyKKtLsLrGkThU4uwUBXpGi9BKJLU70mSzLcIzFCs1sBhNsBv1zorasIiJqTEuVJTXCfFGKFBzJAOya8h4YowimfGPrwBDWViouD5UWMzZWlePNvsE0lyr3GfL58fyxLlzRpHakXD6vEr/Z2YmDI8mNscwWcvjxJOPQHutMdYWKWyxN4VmWQXmBGdUlFpiNXMymLp+A3nEvXtzbh4Likpj1dMplBloNoYFXRGFev4S7Ht6Cb/zPNtx0Tis2Lq3G2gWVYBgGLMPg5pNm4eJF1fjzrm5IsoyOEQ+eeL8zZ+P88oHmUmuMoGjEE8DHn/8QAhkrElnOoEcVQB4admFBudKfsrayNO9ERVFsBfAfAHakrjQEQRDpJz986giCIBTaQxOVZdacj+mZP7sEX/jE6ghXgNuf3B4xwo0gsgEpT0RFZSbVDeaDQ9nTSXbtfS/BpWlo+OZn1mLR7NI0lohINGUap6JeB4mKksGAS/+4siwLs1VfCB0Q1WujmVc7pNxOfcdtk4GF3ZS+MSXzq1QxyoA3tbEdmdrxmEiscURFHpcbohAr4DKysZ2YIQoL9WP3UgnHsjByPMy8ATaDKUJQJMsy9o6OprF0RDp4o3cA3W5PeH5tBcXIpIo/HG7Hw3vVmFyGYfDzcxaksUSZi0jP2kmFyQKnoriPq7IMA8eivsyKZc2laKqyxwiKAqKE/b3j2NMzjiGXH/G8FjP0o+cdHr9av7JbDPh/n1gdnne6BfzXX/fgxm9vwhcfeRu+gLptmc2IW9c34dMbmvGdixbi+pX1KS03kVg+skr9/gRJxsV/fB/Lfv02dvRRChKRW3SOq8/wJab0uiCngg2VZai2xsScDQK4DcAGkKCIIIg8JLd71AmCICLpgmJNCZZlUF2Ru25FZiOLJ352SexyPn4HEkFkKtoMazZHRUUsAKMmk3xfe/Z0lrq8Aj727U1h8ZfJyOGhL5+GQlvuNzLkC+VFakPKcUdqxSD5wrAnfgSCtUDfGcYnqkNfzQb1/u6JIyoClE6MdFGvcbwa8SXfHVx7t5DzoPvNwht0lzsd+ucDr7nniJIEh98LV8AHd8AP3maBw++FI+CDM+CDK+CHW/DD6fdh0OvEsM+NUZ8HY34PHH4vnAEf3IIfHsEPrxiATxTgFwUEJBGCJEKUpHAkmhz1byb4RAluGvqdd4iyjMPj6vlsN5DxdqqQAGzq7sOv9qtOlC3FVpSa6TuIhkRFyUX7KDjTe0iy0UZehSiyGrG0qRjLmktQW2aDQSfqDAAEUca4JmqYiRNrSjF76efSpTVoLo90dVzdWqG77V/fOobVtz6LV3cc1z1vm8v03SGJzIdjGFy0sDo8/9KRAezq13eNJYhsp6VEjaLu83gm2DK7MbAM7l02H/cujxHQ/wnAXACPIdi/RBAEkW9QCwBBEPmEH8BxAA0A0FBdgI7u3IxOeOrnl6JAp+Pw1HkVeOLdjjSUiCBmTj7En80KRhyFOHI8Nqomk9l5eAg/fHw7vvrRlWAYBrOqC/DAf56M277/arqLRiSAco1TUcdY7jYepZOAJGPMJ6BIx0nIYtcXFbkDIorMipDEpHFfDPh9CPh9MBhjo63KbEYcG05PXE1VoXoejfhT63iVof2OCcUSx6nI7XTpLucZVYg25vfAKajfyQgr4vB4rGPeUccQ9o/1n2BJI1FEtTwMLAcjy4FnORg4FgaWg4HhwLPK9JryWai0Kr+FIw7qrMlXLJx63s4rKgALatFPJf863osbW5pgM/BgGAafXdmI77x9JN3FSjvapxNRpDMymUQKYjPz5q4dBFNZbMGC+iLUldlw5IgfhzTll2UZLq8Aj1dARUmMEwKASGcmLZn5yfOHpjIrfnD54pjlL73bGXcft1/ArQ+8jkVNJbjz2qU4Y0VdeF0+OGrmKjefNCs8cEKWZTz8HrW3ErlLiVkdxHLUkZsRuJVmE+5dvgBzCiMGorsBXA/g+fSUiiAIInMgpyKCIPKN9tBEbVVuOhV94ROrsHCufhzAeYuqUlwagjhxtA3GuepU1KgRDQyPe+HSjFDNFv77b/vx9oe94fmz1zbg1ssXpbFERCIwGtgIkeqRERIVJYtBt77QxmrXj6JyaiIXLHzkY128CLQKe6zQKFWUas6jVDgVackHpyIrpy8qcuk4FbGMEi8Wwi9GxqPZ4rhjuYTEi8EkAF5JgEPwYcjvRp/XgS7XGI46hnFwfAB7R/uwc7gbblF18xpO8flDZA6tRer10MrzeGjDqjSWJv8QZBlbB4bC8zctrsXFc/SdOfKVTBW65AoGTX3Hn4GOdUaeRUtNAZY0leL8lfU4e1kt6qJcaCRJxojDi52HBrH36DC8/gme++I8+pIGJb1cubwOVqM6EGD/sRE89Nxu/ORPuybdd0/7CG594HUc6lIHEdFlIzupL7bgK2fPDc8fHfVgz4C+mJ8gcgGtAHJtRSkA4Lb5zfjTmevwzJnr8fG5TWkqWWKotpjxwElLowVFOwCsAQmKCIIgAJBTEUEQ+ccxAKcAQH117omKztnYiM/esDw8f8zpwqbuPnxy3mwAwMkt5Si3GzHoTK1DAEGcCIKmlY3PUVFRkcZRZHA0e+OlPvG9V7DlsatQVqQ4ktx90wrsPDiAbXsT62xBpI7y4siR04eHqKE0WQy5A2gpiV1uiSPwGPepnVAsy8LIMfCLyvXS43KiqDRWYFxmT1/8mTZ6bTDFopB8GAEeL/7MpeNUxGlcimRZhl9WRUUcx8Fi1XdMcAvxY/qSjd2gOX+8JCrKV4Z8PhQa1XO91mrFNc0NePpofHcIIrG82tOHM2uVgSosw+CnZ87HRxfV4iN/3ZnmkmUGeXC7SSu8RlQUEMQJtkwNHMtgaVMJ1i+oxIb5lVjZUg6zUT9yXhAl9A270dXnjIj3npA4m+XoI3HWYNY4hDrcflz01X9O+zU02m4SI2Yp95wzDyZe+b2LkoxbXtid5hIRRHLZ1j2GC4Ji8rWVZXjhnJMjHPWubqpDidGAZ9u70OHKrsFoy0qLcM+yBdHxyo8CuANK8gVBEAQBcioiCCL/aA9N1FXpd9JlK+uW1+Khr58VrtC7BQE/2LUPfz12PNxoxXMsLl1Wm85iEsS0iXQqys2qi4HVNpBn3qjbqSJJwLX3vQQhGP3AcywevPvUsMiIyD600WeSLMOdxednphPPqchi06+vCJIcIZYxGdROLLdDP961TCcaNVVYNJ1sPe7U2qXnulORgWHBxbk/upyxUWHa+JjoI2Ozxxfdu5PgVDRVLBonpiEftevmK9/fuRevdvdFLPvI7EZsrNJ3aSUSz+6RMTzVdiw8zzAMVlUX4aFzFqSxVJmDROKApJJupyKGARY0FOGWc+biN58/Gdt/fhmevecs3H3FEmxYUKUrKPL5Bew8OIB/bunAsV7HhIIiEgtlB80a9ymt8+N00H7VuV5PzUUuXFiFCxdWh+ef3tdLjr5EzvPjd9rh0LjrRUd0MgyDs+uq8F8nr8KTp69Fg01/oEomwQC4bf5sfGfV4mhB0ecA/AdIUEQQBBFBbvbMEQRBxKc9NFGXQ05FKxZW4n9/eD44Trmsi7KMH394AF0uDyQAB8fU6IsrVtSnqZQEMTNCAhUgsiM0lyg1qsKNEWd2OzAc63Pinke3Qg42mFeVWvHgF08By1IreTaidSoSRGrwTibxREVmqw1MnGufVlRk5tWOLI9LP/4sXaKihhJLRHxlnye1je657hxh4eN/r25dpyKNqCjq4FjttujNle0gwyumz6nIxKnn9xA5FeUtA14ffrH3IO57X42YYRkGX1yyAM+etRH3LqfY1VTwx7YO3L/9Q3S71Wv5ec3lKDaRGXqO327SjlErKgqkRlQ0u7oAHz29BY/cth7bfnop/n7/ubj3uuU4c1ktCiyxLoGyLMPrF3B8wIk3dhzHc6+1YW/7yIzeO/oeHYKeqtLH5ctqcc6CqvD8oa7RGb6S+i3mej01F/nYmlnh6TGfgK9uOpjG0hBEajg07MZFT27Hq+3D4WWSLGPfoBMBMfKeXGg04Kdrl8HKZ24broll8R8LWnDJrFptW4UHwA0AHklfyQiCIDIXeuInCCLfaA9N1FfnhlPRknll+MNPLgoLigDgl/sOYdugWsl/+mgnvrFCaWRfUleEuZV2HOqPHblOEJmINv6My9Hhm2VmVVTUlQO/zedeb8NpK2px0YZGAMD6pTW44yPL8LMnPkhzyYjpUq5xmfKQS1FSGfLoCzZYloXFZtd1HwqIMkLtdNooBrdTX1Rk5FkUmnmMewXd9clibVNpeNojCBgPJF+coh05KeV4N6/dYNJdHggE4NURcPEaUVG0Y0I8pyKPKKT1KGqFUORUROwZGcMr3WoMF6CIi1aXl+IrSxbghx/uS2Pp8oNdw6O4972dePTkNTBxHBiGwW0rGvCDd46mu2hphZyKkgvPJd+pqK7Mig3zK7F+QSXWz69EVfHETguyLMPhDmD3kSG8uOUYvD4RK+ZXxGwX7zF2RoKS3HwkznjsJh73XjA/PO/xCfjszzaf8OvSVSO7WNVQjHWaZ5vvvXkE9JRM5AvtYx7c/PyHmF1sQanFgLZRD4Y9AbSUWPCfaxpxamMJyizKgBcrz+PRDavwsTe2pbnUsayrKMWnWmej2hrhqr4fwE0A3ktPqQiCIDIfEhURBJFvtIcmKkutMPBsVkcNXXhaM35yzxkRjWuP7DuEl49HxgJsGxyGVxRhDo7yvnJFHX740oGUlpUgZoqYB6IiK69WyQZyxDb7jgffxMp55agpV1wvbr92Ka4+ew5kSYYkA6IkQZaVzhdRkiHLsmZaWS9JyvqAKEEQJYiijICgTCv/ZAjB+YAgQZSU+YAohZcr62RlOmqdPyDB5Qlg1OnDmNMPpzsAt1eAxzc9wQXDKJ2ZHMuAYRnNtGKJP9lZO9XT2h+Q4PYJMR1WLMvAwLMwGlgYeA4mAwsjzwWXcRHrlL/KcmNwO+0yA8+C51gYgsuWz1MjZWxGFq99/KRw50fIql+djz+ieiowDAMmeDwYMOHjwkSti16G8D7KGnU6anlox/D+ke+v/RwxTLQOmr4dJnIZo7diAqwGNnj+yxBkGYIkIyDKkFtq0dkhQJRkuAMixnzKdECUYAnGnlmNXPhdPK744sRSmzHloqLFtYXh6VS4FEWPh9Sel4G7UMoAACAASURBVCaWR4HRjHG/B35JTHpZUoE1jlORY0w/Bo9nVdcfIeoYWOOJioT0uRRZOT5CJDbkI6ciAnho70FsGxjCDS1NaLBbw8vXVpahymxGn9ebxtLlB6P+ALrdHjQXKNeNEnOsa0u+cSL1IGJytPFnvkBi7uFVxWasm1+J9a2KiKihQt+xL4Qsy3B7BRw4Nop/b+vEn/51CKNOVex64cmNuvsxM1ACxXcqys1n4kznkiU1qLArQm5ZlnHTdzehd3hm9Vrtd2sgR9+s4epltfj2RQvD86Ik49l9vWksEUGkh7ZRD9pG1evfkREP7nh5PwDgx2e34tpgPGCZ2YSbWmbh90c60lLOaEwsi1tam3FRQ030qh0ATgeg/wBNEARBACBREUEQ+UcnlD5BhmUZ1FTY0NGjP5o/0/nuXRtxzQWtEZ0svzt0FC926T/Qbh8cwYYqpXP4suV1eODlA2SzTGQF+eBUpI11GXenr+M20Yw5fWFREaBEoWUDoijB4xcVlYlGzMIyjCJkYRRBC8sgwiUuVXh9AvyCBAPPhkVAqYBnWcwuyY7vMNeYU1sJ9+DEDdZFFiPWaEbNXr2sGkajKjaRZEWwd+XyOghBAV/onyDJEOXgtChFLg+uE7TLRCliXopZL0OQpPC+H1urdrA1FRTgC4sWQZSV/UL/wvPBskYsCy4X9bbX2S/6F3Fm7TzYeBNKTNawAMcZ8OF/Dm5Ja6RXorDFERU5x/XbRA2aOL1oYVVBUWH05gAAj5g+d6Aqq1omUZIxSk5FRJB3BobwzsAQaq0W/GTtCpiDjjmfWTAH39qxO93FywsqLeoI71392flcfaJon8fp+Tq5cJx6rAVxZoPDygpMWNtagQ3zK7FufiVmT8HB2usTcLhrDK++14Wn/n0YvUPu+BtP+xyYaIc4oqLcfCTOeK5bXR+ePtg5hh2Hhmb8WgFNrDRHoqKMp9DM40eXLsZ5mug7WZbx43eOwp+941QJIil89ZWDaCmxYlWN8gx3dXM9XujswZk1FfCKEl7q7kU6xne3FhXgy0tbUW2JcCeSAPwCwDcA5GdFliAIYhqQqIggiHzDD+A4gHoAqKsuyDpREcsCv//RRThpmaqqF2UZvz5wBH/v7Im73x8Ot2N9ZRkYhkFtsQWnzavAawcGUlFkgjghtA3G2viTXMLEqVWy4fHcGVnPsNn5fXEcC7slc8tuNvEw66cdETlKYaG+0GMinE4nSktVkREbtG3iNC416WJ1efnkGyWQeUVVMcvsBhOa7KXYP9ans0d2Ec+pyDkeW8dlEOlU5JMiRVXxREXOQPqEPBVm1T1pxO+niAkihm63B6/39OO8euX5qNk+sdMIkRjmFRbApnHb3HRs5h3suYJEqqKkwmrUNII0tWNdaDVg7bwKJc6stRKt9UWT7uMPiGjvGccbO7rxx5cPoX0abUZx3aoSqAQiCUrqueusuVheXxye/x05f+cNqxuK8eTNa2DQDOSRZRnffbMNv9rRlcaSEURmIkgyvrLpAF6+cTVYhgHPsvjD6WvD629tnY2vb9+N3SOpMwW6qKEGn2ptjhhcA8Wd6EYAlJtMEAQxRUhURBBEPtKOkKioSj/iIVNprC3AUz+/FGUllvCyEZ8fP919AB8Mj064b6fbgxG/H6UmpSf6lpObSVREZAWinPtORUbNg23fDC3UM5Gv/nILnv3e+WA1oy9/8vJ+OHwiOIYByyruNxyruP7wLAOWZZW/jDJqk+dYGDkGBo6DIRjzxXMMDJyyXegvzymRY3xwf07vH8OADf0NRpSF9gvFaeUK2g4NWVaiyiQ55OQSjJ0LRs5pXWsCQQcaIeg0M7+6MDx6dtOxIRwYdqnRYtDEizGMugwzGKQd2idYPhlqnJocnlemJc3ni14X3ke7TpbD5QkdC1nzHqFya/9qPlI4YmKy00MbCxcRCRe1fiKWVhagpdgCQ/A85lkGBpbBuMxj1BtA8TSiZRwOR4SoiIil0GiefKMsYDqiIp6N7BDxiapTEcuwsNr0xRiuQPoix0pNapmGvBR9RsTCAphdoD7XecXciDbMZFgG+MyCOeF5ryCi1zU98eH1C2pwQUs5yixG/OK9Y3jp6GCii5l0YuM201KMvEErKoqOAw5hM/FYM68c64NORIsaiiOeRfQQBAkdfQ68vasXf/r3Iew9OpLQcgMze86IG3+WQ88s2UBLuQ2fO60lPD/u8uOpV46c0GvSN5gdsAzw2HUrIgRFI54APvb8h9jZl10DVAkilRwcdmPr8TGs14gxQxg5Ft9cuQhXbdqS9HJUW0y4bX4L1lREtIuIAH4OxZ3IlfRCEARB5BAkKiIIIh85BmAjANRPweo6U/j0dUtx1ydXR0TtdLnc+OaOPej1TM3Z5JmjXfj0fKUx5JS5FWgosaBzJHcEDERuImoajNkcbEC183zE5+rsd6axNInlw7ZhfOu323D/J9eEG79Pb63C9b9+B/4ZRhYkk2Irj8oCM0ptRpRalU56GRoBjhwUpQSjlwLhmCgEp4OCnFAMlCBBCEZKTYY0yeFgWaWTpNRqQInNBJuRgycgwu0X4fELcPlFuHwCXH4Bbr8Ef4L8pA9++4KwqOjp/T14pWM4Ia9L6HPc6cW5TbEuPk6HiEMjbjQXW1BuUc5Nd0BAu1OJ32CDcXxhARQA+/FedJntYaFXKLqvw+nB3pHxsADPwLLgGKhCJoYBz4Sm1WWK8I8FzyjCPF4r0GNU4V7oH8soQlAWyryN5zDs96PP41P30ezLQtme0dk/9PnYYBxheB6MGk2IkMhNWaZ8DgYuQUSXy4MOlweHxp24qqkWtVZFnF1gSJyo6PrZq1FvKwbDMLqdgHLM/yNWxEWGVhQXub8MRR0XEgrJ6k4AgMOyAYK1MCjYU7aPiOmJei+r3QY2jsOcS0ifU1GxRvw15CNRERHLxbPqMLdIfa57oaM7jaXJD06rrowQcj3yfseU9jNzLK5dUI3bV85CqUUVRD50zgL8cnsHHnzvWMLLmkz4qEumPNlFnTghtOKg0MATs5HD6jllWNdaifXzK7GkqWTSaGBRlHB8wIWte/rwzKbDeH9/4gZbTdFAKYy2yhD9pBtXVDS9tyBOkGtW1ofPvYAg4YIv/z2hr09XjcxFlpXnfC0rfv02uWYSxBT47w+6dEVFAGDmOKwqK8b7QxMPkJ4pLIBLG2vxsTmNMHERTs0DAK4CsDkpb0wQBJHjkKiIIIh8pD00kQ1ORQ01Bfj1d89Dy6zIivg7/UN4cM8BuISpj8T9W2c3PjFPtfu8elU9fvbvQwktL0EkGm2MQC6KipoLVAt+vyCiZ9CdxtIknj+8dAirWitxycYmAMCqxhJ889JF+NqfP0xvwXQYdQsYdWeuqGvQ6Ueqk0V4Tv3NDXoCE2xJJIJ4YruQEMSk+T68oiJaA6BrjeAICBjxx35nRx0uvNmfv+Kwk6vKwqIiCzd156eJ4MGGBUWAvoMAo/m/zoqk4Bwfj4g6iyHqvLEX6ovtZQBuIX2/f7tG/DXoS5+4icg8zByHq5rqcXljfXhZn8eLv3eRqCiZ2HgeN7Q0hec7xj149IPOCfcpNvH40RmtOHVWqW59nmEYfHblLDy6oxPeDBSex4ONimaO555DJAatqOiSNbNw8oIqLJ9dBmO0uisKSZLRM+TGe3v78OyrR/D2rt6klTG+ECiB8We590ickTSWWlFbbMZp81TB/2sfdKM3Ec7C9B1mBTKAb7+0H49cszy8bFlVAXaQSxFBTMrLbUP42isHce3Cajj9Ih7adgw/OHMeZpdYAQDziwqSIiqaU2DDHYvnYXZBjAPviwA+DiD7888JgiDSBImKCILIR9pDE3UZ7FRkNrL4/t2n4cLTZ0c0ngUkCf93uB1/OXZ8Rq+7c3gUq8sV28+rVtbjwU2HyKadyGi0/QqTONdnJdoRzbIUKaLKFe78xVtY2FyCljpFQHX9SbOw+/gYHn93aqPaifRgNbIRHX9DHurMTzaWOJ1iQkARdGhH2U0W78Mb9COxAnne4ak9wom63hpYNuOiSFwuF/z+iX+zYtTYeHuBfr3YIwbS6r5h5VXxF8WfESF4hsF3Vi1FS6E6SESSZXxze+aJlnMJnmHwhcWtKDcrkdqyLOOe1w9OuM+lcyrw/dNbYZzEPYZhGFgNbFaJirioS/9kzpPEiaF9FpxTWxh3O0mWMTDiwfb9A/jL623YtK0rBaWbGRPeXcmpKC0UmHh8+9JFuHxZbcy6N3f1JOQ9tM9YOfj4n1P8fW8fvu8NoDAYQ91QZCZREUFMkcd39+Dx3ep1s8fpC4uKTqosw+NtE4vSp0OVxYQrGutwYX1N2G07SC+AuwD8EWQORxAEcUKQqIggiHykPTSRiU5FPM/ivs+ux7UXzIPBEDm6vM3hxM92HwjHncyE3x9ux6qyEjAMg/oSK9Y1l2FLW4qtLwhiGuS6U9G4xknEZORgMXHw+KbuQJYtXPm1F/H2Y1fCZlEa4/7fpYtwsN+Bbe0jaS4ZEY+WikiBATkVJZ8oa+4wQsAPlkFEh6x7ElGRwagvKvJlUWdtMuA09xEpSW2K39+5HV5BiIh5YxkGHMuGOwKVWDoGwf/iEhIssUDwbzDyDUpUXEtBIaqsFiX2LfzaDHq7uzHgUUbSh7YHgFKz6vrjE4WI9yoo0u+gdacx+gwATJzabEHxZ0SIxSVFEYIiAHhw9370TDEWmpgZ182eFR6gAgBvdA5ja/eY7rYsgP86bxHOaCyNEF4GJAl7RsawuXcAq8pLsKGqAoAiUBr1CrqvlalwUZGRuTg4IJOI9ywoyzKGxrzYeWgQf9t8FC++0wkhQVHA0yWudjvec6wcf5N4rkdkVZQ8jByL/715NVbNKolZJ8syXtiSmIhG7aWDrhuZj9MnhEVFJebEOJ0SRD6yuWMEJzco19eWAhua7NYT6uMAgPWVZbigvhrLy4ojnvWDPAXgTgCJUYQSBEHkOSQqIggiH2kPTVSVWWHgWQTS1OCkxWrmcd/t63DZ2XNhjBITeQQRT7Ydw/Md3RBPsMGhzeHCmD+AYpPS2XjN6noSFREZjahpmU2kbXym0OVyQJblcGdLc00h9uag0MblFXD9/f/Cn39wPjiWhYFj8csbVuGSh99E7zh1AGYis8tVu2inX8h7MUoqMERbHgQRBQFGTjuiWYZnkvhTzqD/qOeTck+0OB04JvI4JgImqlN5wOOBM0VxYVZe/3tu7+/DiD9WgFNkNIY7waNFRYXFxTHbA4ArkF4hD6+JFxrykmMaoXDc7YEky2GRgSzLODyeuRGmucL6yvKI+SFPAHYjC6c/so6wrLIAv7lgMYo1na+SLOOFzm48d7QTBpbFfSsWodGu1jV29juQbTWNaIPBRN1XCH0YjfOAyxPA+/sH8I+32vH8G0fhz4A2nYnINEdDQp9rVtbpCooAYPvBAYw6E1MP0QrkxDx3Ec0G3H71+amUREUEMWOe3d+HL29oBssoA2SWlRbPSFTEANhQVYYrG+swv1h3YMwRAJ8C8OqJlZggCILQQqIigiDykU4o48EYjmNRXWFDZ0/6rGuXzCvDlz+9FmuWxthzQpRlbOruw+NHjmHYl7hOlFd7+nFFUz0A4IJFNbjftAcOX3aNCiXyB20jWy46FUlQRmwbgw4laxdV5aSoCAD2to/gvl9txfc+sw4Mw6CiwITHblqFax/bAl+GdwTkI7NKreFpcilKDXyca5wkijBpXIpkTO7bzXH6j3p5H3+mdSpKlKgoIa8yMwoM+h0bzvHxmGVc0C0pxFSdihxpFBUZWT6iI5aciogQA14ffnfoKD4xbzYApcP+S0sX4K6tO9JcstzGH5XvdWVrNS6bW4U3u0bwl0N9sPIsblhYi4Xl9ojf7qDXhwf3HMCekTFUmE349qqlqLKozmlOv4CPv7ArZZ8jUXBMlFNRnt9jk422ueSnT+zA7/5+IH2Ficc06xbarY08h/nVqlPoxpYyVFVXxuyzoqEYn9nYrPtaLp+ARze34f2O0WmVgwA4lsGtJ6vHtXvIhZu/+wo+fkErth8axF82tyfsvZgk1EeJ5OHUiIqKzNSdRhAzocpmxDNXL494Ht8zou92GQ8WwMbqclzdVB/jWBrkEIBfAPgNABq9SBAEkWCoFkQQRD7iA9ANoA5QItBSLSpqqivEbdcvx1kbZqGowBQzak2UZbzRO4A/tXWgy+1J+Ps/ceQYLmusA8swsBg5XLikBk+9l7gcY4JIJJHxZ2ksSBLpdDnRUlgEADj3pAb89u/701yi5PH0K21YM78SV57eAgBYVl+M716+GHc/k30dSblOXbElPD3kIXeQVMDHuchJkhgWHgJT63xg40SpnajjYbajPcZiguLPol30UtU5xIKBjdcXFbkcsXVbI6ueE7IsQ5BVcYDRaIRJE40W8VppjD8rN9si5kcSKLInsp9/dHaHRUUAMMtum2BrIhE8ceQY/mPBXJSa1IhNjmVw2qxSnDarVHefd/oH8ct9h+AIKELGzy+cFyEo2jvowI1/2wlXFgrMo2/b+X2HTT5MhNtgGgsyAfF0ZfHGxkQPLCvUuKCU202oKoy9N+st09JSYceZD74xcUGJGG5e24jmoFOrLMv40iNb0NbjwDf+572Ev1ekyD3hL08kkCKzAc2awTZFJupOI4iZ8M3T5qCxSG1jOuZ04bDDNaV9GQBn1Vbi2uYG1Nksepv8DcBPAGwGss74kiAIImugWhBBEPnKMQRFRfXVBUh2tG6h3YjLzpqD809txsK5ZbBZDLr21wFJwqs9/Xi2vQvdSRAThfBKEo45XWguUFT916yqJ1ERkbHkevwZAGzp7wmLihY2l4BhMrehPBF8+ZfvYNHsMrTOUqJ2rl7VgN3d4/jft9vTWzAiguoitcNikERFKSGuqEiUYNLEnwlTEhWxusvzXVTEQtshmZhjYWAjBVyJEitNRoHREPeu6NJxKjJozi+GYVBvKwJkpRO8orISi0tqgiWX1b8yMMteDFFWjpcEGZIsQZJliLIyrfyVIcoSRFmCIEkQZBEBScKB0X70eGLLMlW0QijldfP7/CUiOa0mysGDTo+k897gMG7dvBXNBXacW1eNM2qqYIxzvxn2+fD7w+14rac/vGxlWQmWlKpRi/86OojPvrw36eVOFlHplxRjlGS097xMPdLx6xb6d+xkROZVFpgS/pq5ztqmUtxzfmt4/livA+/s659gjxND0ri+5aIbc7Zzy7pGXL28DvXFFhREiYii5wmCmBwLz+Kc5rLw/M6hUdz3/u4p7VtkNODLS1qxvEw3qvsZAD8EkHj1J0EQBBED1YIIgshX2gFsABSnokQyt7EEZ66fhZWLKjGnsQSVZVaYjJyuiChEr9uDl4/34eXjvRgLpCZi5tmjnbh76QIAwOqmUlTYTRhwUqQEkXnkevwZAHw4MhSetpkNqC61omdo+rni2cRV9/wTbz92FQptykj3+y5cgAO9DmxpG5pkTyJVaDskBtwkKkoFEzkVaePPAuLkg+84Vt+pSMjzDk+tI4AoJ2YQY3RsXao6lYsMRt3lkiTB7Ywd9WmMOidYhg33cZYWF8MQx93KHMcNaSqsr2zCk0e2o905PKP9DZoe+3QKitZWlOK06ioEJAkBWYJPkOCTRPhEET5JgleQ4JVEeEURXkGERxThFkR4RAFuQYBXkGjIbAKospixqrwUHAN4BBG3L5wXsb7bndt1p0xBBtDmcOLR/YfxVFsHzq+vwZqKUjTYrJBkZeT5qz19eKW7D76ouLRFJUXhaUGSs1pQBAB8VPyZnOf32GTDau7h/kBuXFWjT5n+EXVwWVv3GDxyrANbz7Ab3YOR17vaMis2Lq0BANhNPB75yHI4fQK2tA3jn3t6KWp6AmqLzHj0hhXgg3VtUZLw+V+8lcIS0HUjk5hbYcPXz5sfd/1xByUqEcR0KbcaYdC0Z3xjx+5Jn43KTEZc2VSHc+uqYOUjurElAE8BeADABwkvLEEQBBEXEhURBJGvtIcm6jSZ9dOhptKG009qwIpFVZg/uxS1lXYU2IwRDV0TMeTz4Z3+IbzRO4B9o+Mpb0Z4vW8Qd0pyuHPtweuW4//eOYZRtx8OrwCHNwCHT8C4J0B2zERa0bpqsDnqVDTm90OW5bD4sKLYkvOiIq9fwjX3vYR//PgicBwLnmPxyA0rcenDb6JrNHlObcTUKbGpgoV+EhWlBC6OcFISxQgniOhOWj0o/kwfLiJuIjHHgo2yqkhV/FmhUV9U5HI4IOkIpuK5iQBAUVFR3HUnAsMwaC2uPAFRUaRTUTpYUlKEryxdOOEAgakQcqOQQ/9kGZIMSJAhy3JwmeITJYeWa5YJkgy/qIiZPEHxklsQ4RZFuAMCnIIiYPIEl3kEEYIswcCyMLIsDAwDjmVhYBkYGBY8y4JnGeUfo0xzDKsIdoL7uwUBLkGASxDhCghwCAE4/QK8Kf4uSk1GXN3UgLPrqiOEZtHsGRlLYakIABjx+/Fk2zE82XZsStuHItAARUj73xcuxnffOoK2seys+0VfVvP7Dpt8eM0BF6cgsM4GtHcWf0BEe6/q7rfz8CA6R2Ob7l/7oBv/fv94xLL1i6rCoiIAuGixMn3dqgZ87bxW/GTTITyzvSur23YsBg5zK+1gGcDpE9Hv8GLcK0y+4yR8/7LFKLEqdSpZlnHvr9/F3vaRE37diWBYrXNmUt+KmCaNJdaYZbIswy/K2DfoxE+2TO1+RxCEisMfea0uNhgxGCfWmgFwY8ssXN1cr1fv/zOALwE4koRiEgRBEJNAoiKCIPKV9tBE/SRORXMbS3DqSfVY0lqOllnFqC63ocBmBDdBx4wePlHE3tFx7BoexY6hUbQ5nGlvdBzy+VBpUeJtTp5TjpPnlOtu5/AGMOj0Y9Ttx7Dbj0GHHwNOHwadPgw6fOge86JnzIPecS81iBAJJyL+LDc1RQCUjv6Q20VJYX5Y1h85Po4vPbIFP/n8BjAMg1KbEY/dtApXPfo2vDky+jibsWus3UlUlBriOxVJEU5F3il0pMUTFaVK8JKpaA+xnKCamCHKqUJKVfxZHKcip070GRAp0PEE/BgX/GAZJVjUxTPocI4GOzcZMIzSoOsU/OjzOMEyDDiwyl+GAcuwwb9McJm6jmNY1NoKw85IAVGc8WfkNQ3JgTT1hF5YX3vCgiIA4ddg1AUn/JrpIkIgFRRAhSLxREmGIMsQgq5OAVGGX5KC/0T4RElxdBIleAQB3qCrk1sQ4RICGPEFcHDcEX6vFWUl+OLi+bAZJm6+cgYCePIIdfRlOvtGI4VfpzaU4pTrSvDUvh58ffPhNJVq5kSLgZMRZUWoRDoVzfzekkzihp8l+Zq/bd8ABEECz8e2U1UVmvHAFUtwy4YmfO/F/Xj90GBSy5JI1jSW4JIlNVhYU4gltYUwGSLrt0cGnPjXvn784d2OGQ1MaSm34bR5FeH5p149gqdfazvhck+G9mzIZqFXLmI1qvUNjyDi/Mffw9ExciciiBPB4RMgagY2N9gsuqKiIqMBdyyai7UVpdGrRABfB/ADkIabIAgibZCoiCCIfKU9NBFyKrJbjdi4ug7rltVg4dxyNNYVoMhumrZ4CABGfH4cdbjQ7nThmNOFNocTHS53xjUW7B4Zw5lBUdFEFJgNKDAbAMRab2vxBUS0D7lxqN+BfT1KjNGHx0cREDPsgxNZRT7EnwFKrEuoYma3zDxqJtt4/s12rJ5fiRvOnQsAWFRbhB9euRR3PEUuxunGomm0J1FRauDjOHAwshRhF+4RJu5IY1g2budVOiOkMgEGiXcq4hj1tyKm0MGl0KB/r3DFFRWp55BD8MMjqJG7frMB/R5nzD4Hx4dwYGxg2mX7/ML1KDcr9UafNHMXAYPm2AoJiqubLvV2dcT6uN8Np+ANiqe4oLOP5h/LBgVW039+yCYiBFIMwCXYSXLU58cnNm9FidGILy6ZD5sm8kCSFWcnTnM+//bgETzf0Z3QMhDJ4cCYAw/u3o9bW1tgD17DGIbBdQtq4PSL+OHWo2ku4fSIFhWlKv4yX+E59XgLGdrGMG1hWYTYeeYIkoRz734Bn718EQpsRph4FrOqCtBcUxC+ZrdWFeB3N6/BX3d24+t/25MQl59E0lJugyDJODbsRqGZx/cuW4yLl9RMvE+FHS0Vdnxs3Szc8vv3seXo9JwRz1lQFZ72+gXc++t3Z1T26aKtpydK5E4kBptRrXt6AxIJiggiAZRaDBFXuuh2DwbAWbWVuHluE0pNEQNnegF8H8AzAKiyTxAEkWZIVEQQRL4SHsZaW2nH3hc/CZ5jpj16zBUQ0Olyo8PlRrvDhWMuNzqdLoz4A5PvnAH8177DMLAsWosKYOE4GDklCoHFzEbSmQwcWqsL0FpdgIuXKsu8ARG7usbw4fFR7Owaw4fHx9A+5CJHI2LK5I1TkSQBQWcRmzm/qmjf+M27WDqnFItnlwEALlteh93d4/j15uSPEiXiw2lGg/e7fGksSf7AxXEqMjHqdVCWZXgncX6JjuPSkq/xZzwL1FutKNC4nTAJEkJoG0VTeXwnij+LxsCyYWGucg5FdiTaC/XjgJ2Bmf32ta5IXmHm9WKe1Qq20nPulmkatncNH8WBsa5J92GAoJuTVnAUK0JiNX9ZRjknGYZR/gLhaTYoYjKwHHiWg4HllWlGnTawPDiGBR98n9CxC4lwJEjBv8F5WYYcdBjSLgMAjmXBMyw4hlNi0hgu6S4bWopNRtw8pwmXNNaHRRuyLOOtvkE8uv8wfJKAW+a2oN5uxavdfXilpz9lZSNOnNd7B7B/zIG7FrdiXlEhAOVc/8TSejz0/jG4hexxq4x2GMzTW2zKiHAqyqLzZCImurLGO5/iXY+P9Tnxlce2RixbPqcMP/vcBjRU2sP7XbasFisaivHx/3sPbYOumRQ7YXAsg5tO7JUHiwAAIABJREFUmoVbTm5CQzB26p97elFbZMay+uKY7WVZiQhlmMjjYDXy+MaFC3DBI29N6/3PbFVdinYeHprhpzgx6LqRWVg1oiJ/jsQsEkS6+ciimnCdSZJl7BhWIyYb7VZ8bsEcLCwpjN7tHwBuAED5xgRBEBlCfvVYEQRBqET0Bhh0LKK1jPj86HK50enyoMvlRpfbjU6nO27+b7bglSQ88OF+3XUsgDKzEeUmEyotZlRZzCg1GVFqMqLYaESRgYfNwMPMcREdVdGYDRxOai7FSc2qdem4N4BdXWPY1j6M7R0j2Nk5mnGj5IjMQeskwSZ4JHwmoW1LZOMIC3KZa+97GW//6koU25Xot6+ePx/7e8exOYvs+XOJumJzREP9ADkVpQQ+zr3UGDWKfbK+By5O9BkACHnoorC2vATfWrUgpq5SaJzcrXEqcEzqRUVmjoOJ1f+enWOxTkXGKKGZ9t5qtVnB8/pNA05hZr99ozZqTZy5qEgrTkqHyxYL5ViHGPHFCrb0kAGIsgQxTe5KySAkhFJESxz4KAETHxQgKUKk4PKoZXxQXMXrvI6R5WHkVPety5saIt5/a/8QfrJbfW557MCRlH12InEUGHhc2zwL59XXRLinAYq44IzGUvz9SPbU/aLFwFIe3mNTiVbEK0zi2piVJOH0+eDwEM74wt9w4boGfP/T68KOuLNKrfjTrWtx8+/ew54efYfDZNNUZsWD1yzD8ijx0AWLqiPmnZ4AXtl+HO/s7cNf3zwKr1+5t560oAL337wa8xtLAAALagrx9Qvm4+ntx7G/b/L7dUuFDSc1qe1UT79G9xUiUlTkI1ERQSSEco0be6/HC0ECrDyHKxvrcHVzfXSdUAZwHxSHIqpYEQRBZBAkKiIIIl9xQ8njjeiNCUgSulweHHMq0WVtDifaHdnjPJRIJAADXj8GvH7sG5u8QabYyGNRcTEWFBegpbAAzXYbrLz+qOZCswEb55Rj45zy8LKjgy7s6hrF/l4Hjg66MOTyYcwTwJgngFF3AL4EjkRkGMWqnmOVkd8sozQIs2xoJDgDloVmWrMNE9wmehmr+h0w4ZHmwXloYiIYZT60H8Mw4ILvFSoLy2jKwka9VnAbdfR60L0ntEFw5J6M4Cg+ZVF4PrgJBElGQJQQECX4RQkBQUJAlNV5UYI/uCw0L2jWp7JfT4hwKspdsY32k03bNj8H8AsSrr73Jbz404vBcyw4lsFDH1mBSx95Cx3D7nQXL+9orVZHiflFCSM+En6mgqYiM+aV2BTxC4Owc2Bnvw0HgoOnpxLZxZBTUQRXNdfqip8LDQkSFWk6laUUtXsWGvRdigDAMTYas0wr8ok+h+yFMaNCw7gCMxQVcVpR0cyvH9oO5EAKo+VCLCopCtc9ZFnGsC82Ii5fCImk/CcQZzcRS0qbcFJFq+46ZyCAh/cdSsr7EqnjqqYGXNVUD0scEaMoydiXZteU6RJ9b8m/O2xqyWanonjPsal6vP3HO514+d3j+M1XTsXGJTVgGAbldhOe/fQ6PKMR4Rg5FgwDHOp34s0jg0iWTu7K5bX41iWLYDdN3DVxsHMUF331H9CrAry7bwB3PvI2/vnAReFlt5zcjI+ta8ST2zrxbvswth0bQZ8j1nWxvsSCr56r3nO8fgF/3tw+489zIuRwE0dWYjOq56Qny64zBJGpaH9XpSYjWovs+OrS+ai0xDyPPwtFUKQ/ApogCIJIKyQqIgginzkEYD4AvNbTjyfbOtDn8eZlZ1siGPULeKt/EG/1qyNLzSyLU2sqsLKsFLMLbCg3m8Az+jFzzeU2NJfbcFmc1/cFRIx5AnD6hQhBS7RAiA+Kg0J/ueAyJrhNvGgZYnoIYqwIKSDKCAgSfIIIvyjBF5DgC84rf5XtQiInyDI8ARGdIx60D7lwuN+JnjFvRLyJgVMaO0NYOB6nVtWG50Odt3L4f0pnqV8W4RVEeEURPR4X3MLkHWDLS8uxsLgURk5x3mLAgA0KulRhV1DIFdxHu0ydV5cEV2sEQ+q2e0eG8FJ3Z3gNp/lduL05OPJ2CrT3OHDnz9/EL+48BQzDoNhqxGMfXYWrHn0bbn9+HpN0MafCFp4ml6LUMK/EikvmVOmua9fEnU2lnsJO4FRE9RwFV8CH9wc7EvJaPFThy1REX4nAbjDoLvf7fPj/7J13nCNnff/f09RX2t6u9zuf73w+dxtXsA0GO8YQ034QAyGACaaZX4BAEhJIMMUx8AMHSAgtoTjENsU2NuCOsY37na/47nx1b3tV15TfH6My2pX2tkgrafW8X687zY5Gmkej0ZTn+3k+n2Ry6m/W6VSkT3LPCTQUjj5LmPqUZWeCIkl57k2xObodAagVcIFycmpLU3Z6PBVFt8S5qFy0uqeK246EI/xw30GeHByuQIsEc6VBU1kR8LPE56PF40KTZTY3hlgXyj/WWJbFRNJAkqA3nOBvH9rLgbFYhVo9N9RJt5bCqai8OB2m9Sp1EJnPqWqmL51rj4Zumlz3Lw/w99edxtsvW48kSXg0hf9z1vKCyz9+cJi//OFTTJRwcIEswScv38h7XrEqb/7B3gm+8KOn+eL15xD0ubAsiz++2Md1//xAQUFRhr1HxjjQM8bq7lB2nqbIvOPsFbzj7BUkdZOb7t3Df/zhIG0BN+87fxVXbu2ivSG/kP2bJ49MfuuyIi7HFwa3KrOmxc/KFh/LGr10hTy0B9w0+1wEPSo+l4pblVFliZRh91mtasndB29o8fOzN5yCadn7bqbPJmmYpMxMf5hl9z3pJjHdJJoyiKYMIul/Cd0kYZjEHY/2v/RrUgYx3X4/gWCx0uHPDYjxKAr/uP1kAlpeaXoU+D/Arxe4aQKBQCCYBUJUJBAI6pkDpEVF+8bD9ERrqwOzFoibJvce6+PeY33ZeU0ujVd0tHFGmy00atC0otFpTtyaQrum0F7OBgtmjKrIqAp4KV64ngumaTEWT6EbJm5NIejJL5oGNI23ri08in3a97UsUqZJRE8xmkjQH49yYHycuKFzQecSVjYE89wQFoINjU0YwG/TwiKn3e9YpH5FHHf/8Qjfv3sP112xEbBt7L/0xlP4wH8/XeGW1RcrHZ2p/UJUtCBsaSss7AAwHdWUidSJCztykVgsIE+4WS84rzN2jfbyy8MvlPT9nc5QC1UkaigiKoqGCzvp5EXGTKrONTSGJi8OQHiOLkXapP0vps/d8VOpsFPR+lBO6FLPLkULQZM7/xgY0w1u+KM491c7pzQ38rpl3Szx+/CpCi5ZwatOf39gWhYPHR7mI7/fRThZncKQmeIUUApBUXmZ3GWQSNWByLPYRcU8x0l99ntPMTAa5yN/vnXa2O2zVjZz/YWruenevXNajyzZMWtdIQ9Bj93vc822bi7dlBPRW5bFd361i5v++1kATn33/7BtbQuH+yYYnpjZdcilH/s1rz9/JZeevoxXnbYERcn9Ll2qzGeu2MRbz1hGR9BT0BkpEk/x6W8/OafPKKgeFEliU2cDpy9rZNuSEFu6g6xs9s97YOHZSxpPvFAJMEyLRHrQXjItPkqmncOTafFS5vlEWgCVmc4sl3C8NvMvlhYvOadjKZO4YdiPabGTQFAuGj0q506KuXQIinTgX4FbgJ6FbZlAIBAIZosQFQkEgnomOxSp1VM8QkJQWkaSKX55pIdfHsndK2xtCnFmWzObm0KsDRYvqlaK6aKorCLThYYZWo6ZmanMW1vkosqcf2OR96rJ86z8Z/Idcsg55WQeJjsbJA3DEaOW78IDCx83JssSTb7Cv8eUbuaNTp3V+0oSbkXBrSg0uz2sDoY4u71rPk0tCae2tGVFRc6i9/Gh2op+KDWf+95TbFvXyrZ1dkTia7d0sfPCNXzzwf0Vbln9sLTJl53ui0yNDBCUHqdbmWlZjCVT2ejKoWiMiWSKiG4wED/x9yErIv7MSYs7d14ZT8ZL/v6NLm92OpxamMjchiLxZ+Hx8YLznU5FSTO/EFss/mxirtFnk0RFEWPuwkRnwX5TEfFTOeny5ZwMhhMnjgMWzA0JiaDLlzfvqztF6kG1c2ZbC3+zddOMBohkiKYM/uznT3FwrPTH4krgHJNgifCzsqJOurbRF2Es0ULeeX/zjp38/MH9fOTaUzhrUwcNPg3TtDBMi6Bfw5OOqjl7Vcuc3r/Z5+K295zFmrZA0WUSSYO3f/53PLV3MG/+s/uGZr2+2x8+yO0PH6S7xcdXPnAOq7qCtIY82f6MQu3QDZPn9w9x/b8+TDS5sFHPIvJs/rgUia3dIc5e2cyZK5rYvrTxhHF61YwiS/hkBZ9W2oF7MyXjsBRN2cIjRZZIGrb7Uixl5ImScoIma4rAKbNcLDXp0TE/rhskDHHOXOxossRr17Xx2QvWohXun4gD1wK/XNiWCQQCgWCu1O6VlkAgEMyfo5mJZrd7uuUEZeb5kTGeHxlDluDOV52fnX/DH5/lWCROh9dNm8dNm8dFQFOnDNgzLBPDskewG5aFnnalMUxIWSaGaaFbJqaV+RtMy0Q3LVKWhWlZ6KaJnl7etEj/bbKwXUvl58tnbGFLs12Uu/94L7funn7UoQx4FBmXouKWZTyKgluRcSsyLlnJPcoyLiXzmHvOLSu4FBlNltBkGVWS8zrQfIpKo9uFT1GnHUFmWRYRQ8fQ0+KpSYvaYigp+5wqyWjptsyGlyfCTKRSmFhYll3YzxT184Rck/8mJz6bOt/+K/P38oCflQG7UzPjNNHi8uQJuAZGhHPamz9zH499+/U0Be2C7o2XbeDF3nEe2DNQ4ZbVB+3B3HmxTzgVLQjOkeIp0+TR/lzcz66RcQbD0Zm/1zTxZ3odiooaXTlB7Why5ttxprS4c85eQ4mFKZQXdSqamOqmIyHlORUljPyrG39D4YJfZI6xZU6nIit9jTVXvEruc8ZmEGVaakKO7TycKCzYEsyfBs2bFZBZlsXbH3yMiF4HLiQ1jEuW+etN64oKikzLIpw0GImniBsm0ZTO073j3PLkIeKLyBHBeadRATO1umLyvWIyVWMbvMhvpZKXZX0jcT7xrcenzP/QG7dwwxu2AHDqskbeftZybnv6KPFZbPNLN7VPKygaGovz6o//asZuRDOlZyjKW/7xdwCctLKJH3zqEpoacvc1lmVx75NHuem/n+FQX+UcCJ27cz26iM4FCTips4Hz17Ry7qpmzljehHcGAhzLskiaFuMJneF4ksFYkoFokuF4itGETjRlkDJN3IqMT7Pd9pYE3OimRdKwkGV78IduWtnfq6ZIuBQZtyzjVu3+MU/mUbH7odyKbDt8SxKyZA8iUyQJSXIMAqwidZlPW1hBk2lZWcekTERc5nHPUJR/fGgf40lxLVhrNHs13nXKEi5Z1UxXwE2Lt+BAmDHgB8DNwMGFbJ9AIBAI5ocQFQkEgnomO9RfqaIbuXpmcl+KS5YJ6zrhCZ39E/Xt3FIqnMVkdQb7vQlEDZPoPFwGZkpAVVnh99PqcaPIEgnDpC8Wpz8WY3yOhURZgiaXLUpr93ho93ro8Hjp9HlY7vfjVVX2jI3xx4FBHu8fZDBRfkeWy5d08+71awHwqXaxstWbc0IwTLOu488y6KbJNZ+6h3tvuQpNlZFlia+96VSu+sYjHBwqvShAkE+jo/OnPyqcihYCZZpDsjHLY6AyXfxZHYqKvA6R1Wiy9KLNkMOpaDC+UKKiwk5FkfBUNx1NlrJFC8uy8kRFsizj8/unvAbmIyoqXZyoV82JesaSC+MClaHF5cqLXxuOC6eichFy5fZBw7KEoKgGOK+jlYa0YNOyLH69f4A/HB0hqhvsGoxwYKw+BPJKXvxl/Z1fF5LJoqJUlToVLYb94HBf/vnun67czHvPX83tzx7jpf4we/vCHBiMkJxGIOh35ZccYgkdWZZIpAzuf/oY//fWx+clOp4JLx4c4ez33c4X338W29e3caQ/zGe++yQHj1f+fC459mchKiqMBKxu8XPGiibOWdnMeaubafVPPyDUsiyiusHLYzGe7R/n4aPDPNk7SrUmbfpUmSaPi5BbIehS8akKXk3Bryl4FBmvquBRFbxO4ZJDyGQP4EsP4lPSA/lkCU22BxSosoQq22KmjLCpWgRNsiThdyn4mXrfekpHkCaPyrt/tbMCLRPMlTdu7OBTr1hNaxH3eaAX+GfgPwDRqScQCAQ1iBAVCQSCemY0M+EcwS6oLCnTzBajXCUsSglsdEeHVbWJ6cK6zs6xMXvMSokwLRhKJBhKJNg9lu8wIGF3ZCx0gb0vliuyeFX7UizkynWOjUdSFR2xWk0c6Y/woX99hG/ceD6SJBH0anzn7adz9TcfJSJGrZWVBk/uNqFPiNwWBNVRXJh8CDCt2fWEF3MqMuvw4KLK+aPByxF/5ldzHaeDifIX0l2yXPQaqZBTkVPkY5G/f/n8PuRi7zVHUZEzsmy+LPHlIs+SC2wDcmZ7LvIlaaQI64sjrqkaaXLn3CwiFXCkEsyeU1uas9P7RqJ85Hf1GVfnFATX4Sl2QVEmOdAmUovwXmDS7XmxSL1yiwHufPQg7796M6u7gtl1LW308sGL1maX0Q2TQ8NR9g9EODgcoW88wfGxOEdHY+wbyL8W6R+Jcc71t5e1zcXQTZOPfuOxiqx7Opx9MfUo+J+MW5VZ0eRjfXuAzZ0NnNwVZEt3iEbv9H21lmUxntTZPRzhgSND/GJfP2MLHGU3H6K6STQc51gFTLM8qkzIpRJyqzS6NRpcCiG3RtCl4tcUUqaFW5Hxp0VO/rTgyaumhUyKjCsjYEq7k6uShJIWMqmyjCLZx6vM0Xs2x65LV7fy7m1L+I9nj5VnAwhKRnfAzecvXscrC8dlJoE7gP8Gfg2LLhBAIBAI6gohKhIIBPVMNvdpVYMfpQLiAsFUDMsi020w2+gqwYnRHYXpahMVLTQWlenAOxbNDchRJIkGVcPvcGJICLFMHvc+eYR//+Uu3nPVSQCs62jg5mu38b7/ekoUb8qIW80dfwdE/NmCkOfuMmnfNo3ZHRfkIufPehwJvTrgz+vAnkiVXhjiVnK31UML4FTkU4sXWKKRqVUJ16Q4Mif+hoai7xVJzc0ZyBmHNN89zvn64cTCHotOaswJmoYTlYtIqQfaPbltfTxaHw43tc5Sf86h7aneEo4IqDGc0aX1KNxdSCY7FelV6lQ0W6pxrzFNuOxjv+aczR186v9sZ9OKxiliAFWRWdMWKBhxZphW3vclTxNzXq84t2etXp9rskRbwE2jV8PvVtAUGVmS8GoyXk3F57LjtLzpR5/LFqX4tLQbj1uhyeuiNeCiLTC9A1GGjBPRrqEI9x0a5PaXeokukmPBQhPXTeJ6ckGjzj2yTMij0uTWCLptQZNPU/Aq6f1ClXnLxm4aPfa9zifPW82TPeM83195dzFBYV6xrJFbr9hMyJ1XZo4BXwAeA54BBivRNoFAIBCUHiEqEggE9cyT2BFobp+qsjYYYM+YuFGpNLppkXG/FU5FpcfZYaWI7VsRBuMJ4oaBJ+0ksrmpmdFErggd9Be1Cq5bbvrRM2xf38ppG9sBuHxzJx+8eC1f+/2+Crds8eIsBAzEhKhoIVCLa4owp4mXKIRcJP6sHsXTa4K5YldMT+aJa0uF05lnIeLP/Grh23jTNInHpgoynC5Yk/cBf2BqMRAgZuiYcyx15jsVzW+fcwqUWtwzKziVipWBXCTXcELcI5STdm9jdvq54dFplhRUC05HqRZv/V67KotAGFArKJNyYhOp6hQSFLvUkibbENUAj+3s48pP3s05mzt4/5+dxMrOBlpCHtyaMq3jyGQBWO198vKTL0isYENmyJKQh9OWNXHKkiAb2htY0+qno8Gdd51WTl4ejXL/0SF+vKuH48JFt2aJmybx6PRCprsODHDH1aehyBIuReabr9nEa378FBNi8F3VcfGKZm694iR8Wl7fw++BdwKHK9MqgUAgEJQTISoSCAT1TBR4GjgHYE2DEBVVA85ilxAVlR7hVFR5LOBoJMLaYBCAjY1N/L7naPZ5n0fFpckkq7SjvFK87R9+x6Pfej0tIQ8AH710Ay8eH+e3u/or3LLFx5JGT16hYFA4FS0I6jTnPNOcrVOREBVlWB/MCUPGy+BSFNTyfy/DiUTJ1zGZBq2wU1E8FpviRASgOkQ+xiRRldfvn7w4MPfoM8i/vpjvLucsVkWNhXXLb/HkhBJCVFQ+GjQvXjUnGHvwuDiv1wL7xsOc3GSLwU7rDFa4NZUj/3hXf+fYhWSxOhXNRXu70Hfxj+3s47Gdfdm/PS6Zc0/u5PQNbZy0sonuFj9Bv4sGn1ZQcPTAsz0L3OLqp9qPF4okcdbKJi7b2M5Fa9tY2ewr+zotyyJpmAxGknQ2uLOD4J7sHeWd97xQ9vULqoOXx2N88ckDfOLM1UiSxPKQly9csp4P3LOr0k0TOPjA6cv5m3NXOWdFgOuBH1KdJnwCgUAgKAFCVCQQCOqdF0iLijp9ngo3RQD5oheXsMkuObqj80qIiirHyxPhrKhoRSDIeCq/ePvwN1/PRCxJPGEQS+hE4zqReIpITKdvJMrBngmeeWmQ/cfGK9H8iqCbJld/8m5+/7Wr0FRbMPGv127j6m/+gf0DIpamlKzvyBUHk4bJaELE3i8EWl5kVH4/XKniz/QqL2CUg5UNuSLIUDxS8vdv9+Tiw1KmSVifW2TYbGjQCruCRCcKC1+c0XqpSQI1n79wkSg2DwGP6nDKmqvbUYYj4RGWBZoA+3i0UMiQdRQEISoqJx0Ol6KUaXI8Vn63L8H8+dPAMFevWApAk0dja1sDzw/U3+/Eebo1a8FupIaZ7LK7kOeEhWLy3Xkx4Umlb+PjSZPfP93D75+eKhZSZZmzN7ezvNO+Pnq5ZzxPkCSYSjV1e21oD/CmU5dy1ZZOWv0zjyQzLfsxEzGvmxa6YZI0LJK6SdwwSegmsZRBLGUQSRqEEzpD0SSHR2PsHgjzfM8ESdP+XT/zoQto9tnXu4/1CAfDeuO/dvVw8bJmzu627wGuXN/OY0dH+dGO4xVumaDRo/KVV23g0tWtztk6cA1wb2VaJRAIBIKFQoiKBAJBvZMdChssMupbsLDojs5YrUh8i2DuOLevEBVVjgMTORFMq8eDJuV3kreEPFlHnukwDJNDvRP8/MED/OevdpNcLCN2i3B8MMr7v/QQ3/nERUiSRINH4zvvOI2rv/Eo43EhfCkVq1pyIoPhWPkFEgIbVSmefybiz+ZOszsnwBlNTo0Gmy8tnpzTz2iy/C5FUNypKDwDUVFysqioSPxZ3Jj7b9/pujXfkfhjyTjL0tMhl8ZFXe2YlkXCMIkZBuGUztFINFuEKkSTy95eSdMiZZqkzMJSJxlAsiNqNoUa8pwWRhNCvFou2j05UdHAAsQHCkrDrtExeqMxOn1eJEniI2es4J137ah0sxacPKeiCrajHli0TkWLDN00eeSFXniht9JNqWqc10fVEI130dpW3nfeKs5e2Vx0mZRh0jMeZ1d/mGePj/HMsXF29k4wkSz9fXjAnStZ7Rku/aAAQfXzvt/u4ME3nU3IbV/H/90Fa/nT8XF2D4n9oVKc3hXkm685ic5AnuDwKPBG4PHKtEogEAgEC4kQFQkEgnpnMDPRoIlDYjWQF3+mVL5zZbGRcoqKqmlIXJ3x4uhYdlqTFbqKxM+cCEWRWb0kxMffeiofedMpPPhsD1/80TOL2sHogWd6+Lfbd/L+a04GYHVrgK+9+VTe9f0nEQPES0OnQ9A2HBeiooVCk4sXJksWf1aHP5KAmru+i+ilF/20OkRFY4mFiQoMFBEVRcanHvsVScpzd0hMciAKBBsmv8R+r9Q8REUOoex8nYqcAqXlAT8f2ryh6LKGZWGm/2Wmi22rlGmimyaptNDIpyp41cL3AhPJKClrdr9BwcxpdzgV7RmtP6ebakWRJLyKgldVso8eRcGvqgRdGg2aSqfPm11+ZWP5o3GqEef9lHAqKi+yXBtRc0VbVuTWu3o/iaCcOL/3So712tod5G8v3cBZBcRElmUxGEny4IEhfvD0EZ47vnDnaKdgM5wSg4fqEd2Ed97zPP9z1XZkScKjyvzbFSfxup8+TTgprssXElmCG85YwQ1nrkDN70e+C3gXIOzoBAKBoE4QFXSBQFDvDGUmio36FiwszoKnKhWObxHMHWe8nHAqqhzHYzGGEwma3fYIn3PaOvOe/8Jdu/BqCn63gs+l4nOr+F32dGuDi86gh5AvP/5GVWReedpSLtm+hOf3D/G+Lz7IwOjiHPH/lZ88x7Z1rZyzxd5uF21o58bLNvDF3+ypcMsWB03+3L41XoaRp4LCqNOJimYbfyYXPn/Wo1ORM8JqIlV6UVG7JxcXeDxW/pGzEsVFRdGJqW462iTXoJTD0Udzabg9hV3xIvrcBVLOdZrz3Odm0w5FkmZ8baPJMpos4z3xogyJ6LOyoUkKTe6csO2x/sFplhZMh09RCGgqbkXBo8jpR/ufW5Gz015FwaPay3jT83yqmhUPZZZzFYnRLIZap/cV4n5q4ZBrZEBMNQueBFWEYzepxGGkyavxiUvX86ZTl055Lpo0+M3efr780H6OjlW+P0HoNeuXvSNRbnnqIB85bSWSJLG6yceL73sFP9l5nM88sI/EIozBrDa8qsw3XnMSr1rV4pydAj4J/CsgvgSBQCCoI4SoSCAQ1DsOUZE4JFYDuuWMP6uNjsNaQsSfVQ87Rka5oLMDgDXB3Cj9eMrgWw/sP+Hr24Nuzl3TyhVbu7hoYztauvgjSRKnrG3l4Vtfz1d/9jy33r6zPB+gwvzF53/Hw998PR3N9sj46y9ay45jY9y1Q1jtzxePlhNhJES0xIKh5kWo5I7VpmnOukBV1KmoDgtdzmuJcBlERU4nHrWImKuU+FUNuYjdQSQ8VfzicoqKJsnV/IHCLkUwP1FRnlPRPPe53x1Rz7zqAAAgAElEQVTdS7u3gVa3z44HSceTyVL6H1JeTFk5GBHRZ2Wj1RtCTn9/lmXx1OBwhVtUffhUhWa3myaXi2a3iyZ3+nHS3+4ix/2F4pGj9fndOZ2KdKP+zrELSV267BY5h5b7vCcoP3lORQscf3b1li7+7tUbaZ40SGk4muRLD+7nv589tqDtEQim47s7jnLRsma2d4Sy8968uYsdA2F+8HxPBVu2+Gn3ufjPq05mS3vePeMh4C3AY5VplUAgEAgqiaigCwSCeicrKgoKp6KqwHA46bgXoDhXbzgdCoQTVGXZ6RAVOV0nPJpCd6OHnhO4DPWPJ7jjmWPc8cwx2oNu/uLcVbzx9KW0B23XCVWR+dhbtvHO127kPV94gOf2DU37frWGacLVn7ibB75xNe60CObLf34K+wci7OkTrhLzwSk4rEcRSqVQna4Qjs1umbMXdhVzKtLr7PtscbnyCm8TqdKPtj4WGaHDa3e0ntHazh/7+9g1OlLy9WQIulxYTE1RsSyLSEGnopzQYPLv2d8QKLgOw7KIG3N3KXOKq5zXdXNBx+SHLz1Z9HmPrNLo9qLKMjK2+5AtOJLTzkUySdPg0MQwLkXFLStoiu3mosn23y5ZQZIkemPjGKaFhcU715+V3XeGhVNR2ehwRJ+Np1J1NdTZoyi0uF00u900p4VBk0VDTVUgFgL7+GJhO8rqpoWmSHm/895Ign969MSC+MWIUxBszuF8LZg5teJUJBBUK80+jX953WYu39SRNz+uG9z80AG+9fihCrVsesRPX3Dd3c/z22vPpN3nzs77q1OXcueefsYSwlm5HFy+uoXPX7yedn+e+PBO4O2AuDkSCASCOkWIigQCQb2TrbL7NRUJkWlfaVIOJx1tlrb7ghPj3L6yGOFYUXaMjmWnZUnCsqxsAXP7imZ6Rmc+6qp/PMGX7tnN1367l/dfvJb3X7wWl2r/fpqDHm773OV85tuP89PfL66Cz8BonPd84QG+/+lLkCQJn0vl228/jau+8ShjsVSlm1ezOB3NVNGLu2CohTVFGPrsO0oVtfBtnlFn+QFrg/7stGGZ83LfKcajvfvZ1rIMWbKL7H+14ST+9qnHic7he5sJjS5XwfHssWgUo4AQyBlFZkwqeAeChZ2Kosb8jp+qQ8g0X6eiExE3dXpjM+vXjpsz+04Car4YbSgxPqe2CU5MuycnKjoUjlawJaVDBkIuFy0eWzDUkhYJtaTFQy0e+9FX5Dg9XzICINOyf3+6aaFbFinDJGGYxA2ThG4SSRlEdYNISmc8oTOe0hmJpxhN6IwmUozEUwzFkgzFkyQdh45mj8p9bzgr+/fxcII33v4M0Tp1NnReJ9XbOXahqRWnomKnPeEuJKgk56xs5pZrttDRkIu9tSyL3+wd4IN37CBZZaJIyyGhF/1WAhO45GdP8Fdbl3HD9pUALA95+eGfbeHq254REXklxK8p/Msl67h6Q8fkp24BbgRml8suEAgEgkWFEBUJBIJ6J+vTrkgSflUlXKYikGBm6I7ODJdwKio5KTN3/6eKzpmKMhCP0x+L0+71THnu9JVN/Oq52Vs5J3STW+7byz0vHOdz12zhtJXNgD2y93PvPYsrX7GSG255mOHx0hfWK8UfXujllp8+z4fftBVJkljR4ufrbz6V6773hOhcmiNRx2g/v1Z5h4RKIUss6D6kSM6YqhzmHJxeihWu6s2paHnAm52OlCH6DCBm6tx9ZCdXLNuMJEn4NY1z2zv5bc/Rsqxvqb+wu1BkvLDwxXktlTTz+4ADwWDh90rN7xyh5rmdVVeRaiasCrZkp1OmzkQqVsHWLG4aXL7s9OFwpIItmTkhl0aX10unz0OX10uT20VQU2lMC4eaXK6Six8sy8K0IG4YRFIGYwmdwViS3miCYxNxDozH2D8a4eBYrKxuTzJw2+u240oP/DAti4/9fjf90cVzXTlb8pzZxIVnWXE6FS2qLT2HazNxF7+4KGe3jCzBB85fzYcvXJt3bhqJJXn3bc/x1LGxaV5dQRw/CyEqEmT49vNHOLurkTO7bFH6ts4gb93cxY92HK9wyxYH7T4XP75mK+ua/c7ZCeDDwL9VplUCgUAgqCaEqEggENQ7Y9iDHmSABpcQFVUaZ8FTE6KikpNyVBpqZbTnYmbn6Cjt3k4gXwRw6eZO/vEXO+csaNjdO8Ebv/kH3nzmcj579cm4VBlJkjj75E4e+/Yb+N2fjvK1215g96HRUnyMivON/93BaRvbuGBbNwAXrG/jV3/9Cn7ypyP2NrSsbH+9/aeVfsz9LUkSsmR3WiqyhEuVcSkymiLhUhX7UZFRZCm7rPM1Erlih5VeX24d9soVSUKW7fdXZdvVRFMlNFme0pmcXQe5dWmKhKbI9j9Vyq43g2FZpHQrK85M6rYbwUQ8xXAkRSSp0z8e57EDQ7x4fJyUUXgHGwjnxBdBt3274FFkLl3ZyitXNLMi5MWtyEhIBTvBVVnCnS44ShLISLnYlLRrgmlZaWcXCVWSkOWcQ5JE7nNJEmjpbZU5ZGW2a+Z5Jb1tFEnCSG97Jf09JnST8aSOItnHPGe0W+bTZ76jzHcG4FLkrKAqaZgkDZOUadnTpu34YOR9zxaGZWGYFkbaHcKw0tOmhZl+fzM9L1MgNqzcONzXrG7Lti3k0ri4sxVZkgiHw/SGAvZ60u0xHfvwZEws1oYaWB0K2OvEbqQJhDSVBk3FTK/fxMpO66b9mXLz0/tu5jNm5qWfVyUp+xl0y8RIT9vbxaLT67FdMrLbwv7uDcvEMMHAyhZgs+tLf6DMNo0ZJqOpJHM1wOhyiDbL4VKUYefocba3LqPLFwJgRaCwA9B88SgKbR5vwefCRURF2nSioobC7QzPc1s5BXLldioqB0t9OfecseTicM+pRoKaj0ZXrmixY6Sy1ySaLNHidhNyaTS6XDS6NELpx0a3iw6vhy6vB28JHYas9DkhkRYLjSZ0BqO2WOjIRIxD4zH2jkQ4MhGvimi4W191cl70yHeePcKTx6u0IL1AOJ2KTCEqKit5woJFuqkLRZsWXE6ILGqehbg8ag+4+dfXb+G81TmxtGVZ3LOnn+tvf6EqzivFcG4eRezuAgd/+ZsX+N21Z9KWvh75zPlr8GoKz/VN8NTxMYp0cQhOQINL4btXnjxZUPQo8G5gT2VaJRAIBIJqQ4iKBAJBvWNiuxW1AgQ1jePEK9uiOsfpVKQJ0UvJcToVKaIzsuK8ODrGxV22qMi0LCTsTuLuRi8feOU6vv7bl+b1/j954jD7+8N87W3b6QzZxXVFlrnszOVcesYyegaj3PvEYb531x6ODdSGQ0Ax3vXP9/PwrVfT1WJ3gpzUHeIfrwpVuFXVS1I32T8Q5sXj47zUN8G+gTD7ByIMhRNMxHPi2nVNfr7+qk2cv7QZXw24Fk0eyepWZdpU17ze06XIWVeGhcSv2bdqkseNS8lte49y4u+h2+NibbCQo00D53e2lqqJC0ZGCAjpIsOkzmILp1Aw96Tbsa26fCHesvp0wBYxZRx0JKSsqMy0MsIqE8Mys4IY07KFYS1uPy5ZxbTMrCAr07YOb06gU65Yo6X+QFF3gqMHXp4yzxbX5fbdxKR4tGLxZ/N2KnI6d9SgqKjTl3NwGknMLFpNMHvWh5Zkpw3L4qmB4WmWnj8eRaHV7aLN66Hd46bd66HN46bd46HN66bZ7T7xm8wCy7JImhaxlMFYMsVQLEVvNMHh8Rgvj0XZOxLlwFi0qou6Tq5Z28E5XTnB3f2Hhrj5yYOVa1CV4Lw8EE5F5WWxDogRe42gHFy2oZ0vXLWZZl/uPkg3TD72653csbOvgi2bGc7fhRDRCZyYwHvv28H/XLUdWZLwagqfOX8NAC/0T3D1z54hJc7Hs6LZq/HdK09ma0feveEXgE8j4s4EAoFA4ECIigQCgSAtKAJo0MRhsdI4b/6EU1HpSTq2rxAVVZ6djlH5siQRTiUJaHbH30cv28D561p55KVBnj86xo6jowyGZ1/offLgMJd++QE+cMlarnvFKjxpYYgkSSxp8/PO127iuis2ohsW4ViKiUgSC9t1R5VzzjoTsRQ3fv0PPLdvqCSfvRxc/Tf38NA3r8btqn7xS6VxqTKbuoJs6iocf+Tk8lVtJ1xGUD7UOQhU9Aq7LmacqEqFNMmVa6qyZmbrWhZoKlGLpqdc7jwd3sIuReMjI4wMDU6Z75Jzx0LLskg5hdsuDbdnavwmzN/VyelUpJu11w/d6Mpt5yEhKiobXb7m7PQzQyPM9ailyXaEdbPbTYvbRbPbTavHfmx2u2j12I+lFPuZlkVcNxlNpBiIJRmOpxiMJXl5LMq+0Si7h8OMJBaP+61Lhk+dtTZb2D0yHuNjv98tYmax3Rgz1KCGsqbIjz+r3o1dbD+QZnKtIm7P65JSfu1Bt8rfvXojb9y2JG/+8fE4b/jhnzg2XhuDKJ2/I+FUJJjM3pEoX37yAB8/Y3We6GxLewMfPXslN/1h6mALQWE6/C5+9oZTWNXoc87+KvDJCjVJIBAIBFWMqJ4LBIJ6Joh9oZwl5Jqfm4Fg/qQsR8FLEqKiUuN0ghKiosozmEjQF4tlC8W7R0c4tbU9+92csaqFM1bl7MqffHmIHz9+mF8911M0uqoQ4YTOTXfv5oePHeTt56zkym1LWNKUK5pKkoSmSjQ1uGlqKDxSv7XRy9c/ej4XXH/HHD7pwjA0Hudt/3Af//XZS3E7XHXGI0lHtJZNZvd3dvDnIqUsdMO047p0E92w464y86xMpFXGpSQda+WM5JKwI70kpOxKTdOOezJNOwYqmTJJ6QZJ3cyObnfGHGTioOz1mSRSJomUQTJlktTt10JuJKcqS3hcKi7NjlPzaCpej0pTwE1Tgwu/W2VJm5+AV5vRiM+YbuBV80UJB0diPHhgkJFYynaFycRrOZYxLIgmDfuzWrmoMy0bJyejSTJJ0yRlmKQMe3t4VDkXy5WJwbIgYdgxbrpppePUMttZwrIs4unnk7qJS5VRJIlk+vtq9Gq0+t0kDZOvvG5ztp3f3XWYl0ai9neV/opkciNhk4ZFfzyBAng1BY+i4FFkvKqMOz2t2bl0yKRj8/Li3NJ/S3ZEnP18OiovHW2nSBJyOt7OtMCjSCwJeEkaJhHdQIJslNhALEGbN/fbjBspe+NMFtuk9+mJWJS4nnLE09nL2c4ZevpzSll3tMxfmX039yqYnHE3dc+RstsQ7Fg+p6AoaejpqL7Mtlj85/bxeTr9FKNY9Fl/T0/B+ZqjCjM5QiUYKu7kNl9RkSrVtlORR8l1kwzFC8fKCeaHJqu0enL74P09U10TXLLMUr+PFQEfzW43DZpKg6bRoKkEXRpNLhdNbldJByFknMdSpkVctyPJxhI6Q/Ekh8dj7BgK83T/OMfCtVGULRXv2bI8G2tqWhY3/n4PE8naEwyWn9o73tUSeU5FVb2pq7pxgirBeV1WKieeS9a18c+vO4nOYE40blkW/7vjOB/91YslWcdC4RQOlnKggmDx8IMXe0gYFn996gqaPFp2/rtOWcL3nz9G7xwG5NUbQZfCf79+62RB0a3ARyrUJIFAIBBUOUJUJBAI6pULgB8AKzIzdNPkcLi2438WA7pjyKu6SC3OK0lCiIqqjp0jY1lR0bJAgFteeIb3btpCQNOmLJsRGX3s8o38v9+9xE+eODyrdfWMxrnp7t186Z7dXLa5k9ds7eLcNa20FhESTcZbAw5Az+4b4q+/8jDf+cRF2XmxhM65H7yzco2qMnwulQu3dXHeyR2ctLKZJa1+Qn4XqiLldWpnBEUTiRTfefww//HkIcLJWglqmcoXrzgpW5B69PgILwxVlwNJl8/NX2xcWvC5waRBm0NPMhQPT1uyOjDaR2h8apE+qid5rH//PFs6PdetO5cmtx1D+PjAfv5YZH3SJDFSbn762bQIS5MUNFnFJStpAZQ0xbkoI2SSpZxnRGaJoOahQfOiyUp2NTISiiSnt6FFVgyF/R6KbD8vp9fT6mlAk3O3zg/19tjRYun1Sg6B1ngyyS8PH5zPJiyIV1EIqFPPCwAjA1NdigBcUu6YPVnc09rRXvA1KdMkbszPYcVZ+DWs2jpmdPtCecfB4RpxKtIkhSa3HXloYosRM48WGdFser4jvs9Mx/ydyPVDkeT0b0LGsEwMy5iXI1entymvSOhWZK5ZsZRWj5sOr4dun5d2r6fkhURb+GoRSRmMJlL0RZIcnoixbzTKi0MT7BqKEDdra59dCK5e25md/s2BQZ7uE2I7wcLjPB4sJtnOdJ+l2LFZ3MbXPk5R0Xy7vdr8Lv7u1Ru58uSuvPmRpM57//d5Hn65vPGi5SDfqUjs8ILC/HTPcX665zirQ17uuPq0bBzaNRs6+OZTRyrdvKqm1avxvau2sK7Z75z9aeCfWVynWYFAIBCUECEqEggE9YYb+CfgRhwVrD1j49y8Yy890VjFGiawcTrpuET8WclJ5YmKxPatBl4cHeWSbrtY0+L28tLEGDc+8QgXdy1lW3MrXT4/AU3L60hf0uTlX964lYs2tvPhHz9NPDW7AphpwT07erlnRy+SBMubfazraKC70UtLwIVlgW6YpEyL9120hkaf7eIWrZEoj/ufPsbX/+cFPvjGLQB0NPv4j49fyLu/9GCFW1YdRJM6dz9xhLufyO9oc6kyXS0+4kmdX3z+NbSG7FGuX3vkZb49SwGbYPYkpylku1w54V9GJDAdiVhhFw1nHFb5mJmTgC1wmGbB9KwEOpAoUdvmxoWdG9nWshyAA+Pj/Gjf3gVvQ2sRlyKAoYH+gvOdDi76JHHPstWrCr5mOBmdQ+vyUfKcimpLoLHUn3PPiaTiJM3qP++5ZI1rVp6LXyscZzdTMgIjEwuZE7uLmZaFbhmkTJ2UaaCbOrppYlomRlq4JKcFe4oko8oqmqzgkjW8ar477A2bN8yr7ZCJ+LOI6gbjCZ2hWJLeaIKj4Tj7R6PsHYmwfzRKbe2RlSfkUunw5b6v2/dOFawKBIJSIcQT9YIzPnKuAlpFknjb6cu48ZK1BB1OLZZl8fDLw7z7tuemvb+oFYSmSHAiDozF2DkYZktbA2DHoAmKs7HFz7+/bjPLQ3n3l59P/xMIBAKBoChCVCQQCOqJrcCPgC2ZGYZp8eMDh7jt4JG8m3pB5dAt4VRUThKG2L7Vxt7x3GhvVZZpcXkYSsa5//hR7j9+NPvcmW0dXLFsBR0eX9ZF4fKTO/nwpRv4wl275rx+y4JDQ1EODRUuJLcGXPzlBWsACMeqv7ia4eu3vcDWNS1ceGo3ABee0sVfvnYj//7r3RVuWfWS1E0O9YUB6B2OZkVFK5t9072sNqnCc34kVTxKxuP1AKkZv1c8XlhUpMoKMlJeZF2pcZ5ZTix/qg2czjXzcWeZD8WizyITEyQThUVXmpITkaXM3P7V3tVJsLGx4GuG4iUWFdVYMSvkym3nuFEbsQltntC8BUVgi4dmc2koSxIuScUll69bKRNxOZpIEU4ajCd1RhMpBqNJjoTjHBqP0ROJMxhLMhyvnWuUWuJdJy/NHgPDSZ1Hj45UuEWCeqVWrimKXiYUU0bUxscSlBjFEVGrz6Ez8uwVTfz9qzexqTNfPBFO6Nxw5w5+t7+wi2Wt4HRyEk5FgpnwxPHRrKjo8jWtbO8M8nTviZ0VW70aZy0JsaElgN+lMBhN0h+x/40ldBQZPKrCREInYZjZONikYTIUSzEUy79HlyVo9misbvIR8qhMJHQswKXIjMV1Nrb6OaMrSLvfTUw36I8kCbpVhmMpDo3F6IskSRomg9EUe4cjmJZF0ijdieKMriDfvWoLIXfe9fstwGdKthKBQCAQLFqEqEggENQDCvAx4HNAdvjO0UiUr+zYw77xcMUaJpiKs0NFdB6UHqdTUSbWRfRjVpbeWJyJVIqGdNzZ6a1t/KZnqlXzEwN9PDHQx8pAAx/avA2val/GveG0pXzpnt0YZVJGhry50enjkdoosIJd+P/o1x7ljptew7L2AJIk8Tdv3saf9gzw7L6hSjev6jncN8HJq5oBWNFY3CFFUDrihpkO4pqKx+OF+MxFRYkioiKwhSaJecZbTUc1CHBKjfN6pJyCrOlo8xQWjYwMDBR9jcvR7oRDVNTR3V1weROLY9H5xxo5t9dkh6Rqp9mdE1FOpGrDwdQZN5dxMit0HJGq+Lo6ktKJpAyGYil6Iwl2D4f5U/8Yz/aPUcOpmzVHq0djXZMfRZJ4YXCCsaTOlWs6ss/ff2iYpBiJI6gQUj24+NTBRxTYqA43yaQ+8xNdd9DDpy5dz+smRZ1ZlsUvXuzlw7/YuSgc+ZxnmlJHoQoWJ996/jDXnbwURZZQZYm3ndzF073juBWZoFuhK+Am5NZo9Kj4XQrtPhcXLG/m9O7gvPax4ViKgWgSn6bg02RavK4Tv2iWRFMGLw6GebZ3gj1DEQ6MRHm2b4LULK7JJOAtm7v47EVrs8Io7J/ax4GbEV3DAoFAIJgBQlQkEAgWO6uA7wPnO2f+8vAxvv/SQRI1Nnq6HnCKXoSTTumZbH8tSxLGIin61jL7xic4tcUWcGxobC4oKspwMDzBTc8/xT9sPwuA1gY3nUEPx0bLU/xs9OWs1MfClY0gmi1jkSQf+PJD/Oxzl+FxqciyxA8/eQnnfPB2wlHhaDAd+3pywoLu0PwdMKqNaj3qRVMGfm1qRJnX64X4zMUe8WniXD2KVlZRkTMoabGIimRHla8S50xVkmkpIioaHig8El2VJGRHwSqu577z5rbWgq/pi4WJl2DfcMZl1ZqoKKDmogYjenFxXjUhO3518ZTBSZ+8q+iyLlXGpcp4NRmPpuLVFFyqjFuT8WgKbk1Gk2UM044S0w2TlGExHksyEdeJJQ28LoWQVyPo1Wj2u2j0u2jyuWj0afZ7umTcmoIqS6QMi5RhkNAtJmIpxmJJhsJJrj1zOdtXNmfb9cfjozx4dJgHjgwzkrAFlKokcemKNra0NhB0qbhVGdOyeOTYCPceGiRh1Na+VQ34VJkPnbqSDr+b8aTOYCyJR5W5bHkbbT7XlKKaZVl5YrTbXxLRZ5MRtW5BWSlyyVHNIlHBzFAdTkXJGZzPPKrMe89bxfvOW4V30r3CweEo7/n5c+wdjJS8nZXCebmtiN1dMAOiusnOwQm2tgcB+POTOnnlqhaavdoJXjk/mr1a2dfh0xRO7wpxelcupjmc1LnvwBA/393HI0dGiqYveFSZt53cxV9sXcLK/MFiCeBNwJ1lbLpAIBAIFhlCVCQQCBYrEnAd8DUgkJk5FE9wy869PDs8Wql2CU6AnmdzLE+zpGAuJIz8eB1ViIqqgv0TOVHREr//hMv71fxOi6FI+cQ+IUcHydB4bYmKAF48OMJnvvMEX/rAuQD4PCr/+9nLuOzjxYuuAnjp2Fh2uqth8YmKqpWIXkxU5INZJM6kUilSqRSaNrWDM6h5GUuWz4FFqgJXn1LjLLRbFThnLgsE8oRNTob6Cxf5NTm3H1mWhZEW98iyTGNLc8HX9MdKU4xSatityhkZlzBm7g5WSaS8/XP6ZZO6SVI3CccB5ug+GIFjI/M7hixp9OaJil65vJVXLrfFbv3RBEcm4pzc2uAcSZ3lilXtvGfLMj50/4u8PF4bblLVwr1vOJOQe+aFL+e+tX8kyiNHRPTZdNTY4a7mWGw6Gsu0kMQgqrplpscLCXj91m5uvGQt3aF899hIUucf7tvDz54/XvoGVhjn9aMifieCNBLQ6NaQJegKuNnS2sDqkI+1TX6WBNx0B/L7LWYh9jkKPAYMAp1AV/pfADCwBTiNgAuIY0s+3cB0ls6DQB8QTDc9CbQC/cBvgR1AC9AMjKXXuzY9zw0sB4rm0AdcKq/f2MHrN3ZwPJzg9y8Pcefefp7uHSdpWKiyxLWbOrnhzOV0T+3PGQSuBh6dycYRCAQCgSCDEBUJBILFSDvwbeDPnDMf7O3n33btJ6wLd4pqxulUJOLPSs9kdy5FllgU/tg1zr7xiex0g3Ziu+TlgYbsdP94nHiqfF9iyOFUNFgmN6Ryc/uDL7NtbStvu3w9AGu6Q3zxvWfxf7/1eIVbVr3sPpQT33o1haBbZTwhzp/lJpzSaS9gme7yeJitvGFkcIj2rs4p80MuL0fKOJDZGU9Sa4KSYkgOJ5hKCHHXBUMF58eiUSbGxgo+pymFhVBNLc0oylThGsBoicRmTlG4PknMXO3kC6Jq4wJJzvvNVbAhs+Dm3+zhok0dnLw0NMVxo93npt3nLvJKm1UhHz+/ajv3vDzA3QcHeKxnNG9ggmAqr1vdNiNBkW5aWJaF5hB0TSR0/u7hlxaJTLS01EUkV5VQC+48fo9KW6OH5qAHt8t2f/O4VDRV5o/P5TtOFhIUVf8nFJSKmcR7nb+6hU+8aj2bu4J5803L4n+eP87f3PXiou3KyXcqEr+MesSryqxp9HFaR4iNzX42NgdYGfTmXZ/MkjC2oGcUW8QzAuwEfgn8ibmZGbcBm7GFQxPYgqO+9HvPV4mtAlvS7fIAZ6T/rQG2p+cBtsDqbVu6eduWbuK6ye7BMF0BNx2BKdfTJnAbcCO2kEogEAgEglkhREUCgWCxcRXwHWxhEQDhVIpbd+/nod6ByrVKMGPyRiSJvoOSMzkqwi781VbBbzGy3yEqkiWJ5f4AhyPhost3eXMDlo6PljeepdGXEzj0DdemqAjg899/is2rmtm23nZCuOb8VfxhRx93PHqwsg2rUg72TeTFnjT7NCEqWgAiqcLHY18gQGHpSHGGBgYLiooaXdMNqJw/UoVdfcqBXEH3pYCq0e4p/J31HDpU9HUuKScccgqhmtvaCi6vWyYTqdK40TlHlNda/Fl+1F1ttL1Wf3NX3fIQ21c2ccmmDl61uZO1HQ0F3QjGYyl29YyR0E1WtQVY1mxfA2myzJVrOrhyTQc94Tjff/EYdyIWDwgAACAASURBVO7vK3ocrXcuXtaS9/cTPaM0ejQkYNdQhF/t6+eFgQmG47aEtdPvzkaivTQcISy26wmpoZ9fTaIWEctWAkWWWNoeYEVXAx3NPlpCHloaPXhcCm1NXlZ25gaAmJbF0f4ILrVwIdz5WSYfAYt9TqGxWFxM/j63Lw1x4yXrOHdV/nHbsiye7Rnn/bc/x/GJOboN1gjO6+1ioivB4mJpwMOZXSHO6W5iS2sDS+fulrwTW9zzPHA78AIwAEQpfQr6APBAid8zgw484/j7j45pL/Aa4B3Aa3HUeD2qzLbOfCEitkvSN4CvAsVvIAUCgUAgOAFCVCQQCBYLDcDNwF86Zz4zNMJXd+5lKLG4b7gXE84R1qLroPSkJomKVNFBUxWMpVIMxOO0eeyOk+2t7dOLiny5iLRDw2W0HCE//qxvOFrWdZWTpG7y1zc/xB1feA2tjV4kSeKm957Fs/sGOdhXfFvXK6ZpF8cyh4gWn4uD84y7qTS1cLgbThT2Iwo1N89aVDQ8UFhM7VY03IpKwiiPSMy5mc1FMn7aWcwwFtgKZlVDQ9HnDu/bV/Q5TXa4BTnEMS3thUVFI4lYyXrZ85yKakSYk0Guweg252+uNlqc4+mDIzx9cIQv370bgFOWhzhzdSubuoJoqswjewf46eOH817z8Ss28lcXrUV1jFTvDnj45Jlr+IuTlvCOe56jLyru/aajN5zgg/ftygqICtETTtATrr3YW8HiRXH85it1eA76XZyzpZPTN7XjcRd2/XNimBZ7Do0SiaeKXojWisOcoLTIDhFtpo9mS1eQj1y0lkvWT71WOzYW48O/2METR2d7R1CbmMKpqC5Y3uDhgmXNXLO2k/XN/hO/IJ848Cy28GYXsBfYTX2IZmLA/6b/dWALjN4MXAI4bSkN4D+BfwZeXuA2CgQCgWARIkRFAoFgMXAe8ENgVWZGwjD43ksH+fWRnprrXK93LMc3VgsW57XGlPgzsY2rhv3jE1lR0bpg47TLOuPP9veXTxDjVmU8Wq7D/NhgeQVM5aZ3OMaHbnmE73/mlaiKjKrI/M9nL+Ps6+9AN2ur8L0Q6IaJS7a//6Bncd02WFV6ddAfLVzA9fkD+P1+IpGZ/waHB4aKPtfmaeBoZL6O7IWRalCUcSLUCopklvkDBeePDg0VjT4D0BwRZynTdhiRJIm2zo6Cyw+XKPoM8q8tau3YmicgqxFBVK06FRXiucNjPHd4+oLpl+7azdfv3cuNV2zitdu66Qh6stugO+Dhg6eu5NOP7l2I5tYU97w8wGUr7EJ1Z8DN3deezj0HBojpJp0BF90BDzHd4Nf7Brhtd2+VniWrjwLmWoIy4XT6MRdYieN1q1y4vZuzT+5EOZGdspV7eOnImC0oApLJYueU2Y+qErtd7ePcjc5Y3sSlG9q5eN1UMdFoLMU/3LeH23f2LmDrKo+V52Au9vjFggSsCnl55fJWrljdxrqmEwqJothOQw8BO7AFREewnXfisEhGsMyPPuB76X8u4BzsSLY+4EFgsFINEwgEAsHiY3FVBwQCQb3hAv4B+Bsg28P00vgEN+/Yw9FIbTsqCATlwIS8SCPRQVM97JuY4Oy0g0SnI95sMu9ctwm3o1j82xf7ytYmZ/QZwNGB2nf0efzFfr70X8/wyXecBkBTg5vbP3cZV37qngq3rPpIGSautKiswS1uGxaCY5HicYYdHR0cOHBgxu+VSCQYHR6hsblpynPlFBXlx0ctjrK04nT9WcBCpltWaHYXtv4/eoJ9weU4vyfSoqLmtlY0l6vg8kPx0jnR5TkVmbUVmZQviquNOoWEs80VbMgCEtdNPveLnXzuFzs5dXkT337XGbSmYzLWNc56pHtdcN/hIfaPRliT3j7NXo23bu6esty5S5o4f1kTH/rtrrrZn0pFtQqWFwtBf+78ldQX7vh8zpZOLjl96YyciZwcH4ww4XBNS+mFz4fWNJqi4vFn4h6+1nF+h6/fOvVYHEnqfPWRl/nW4/VgujIVw+lUVDg5UFAjdAfcnNIW5MKlzZy/tImQW5tu8d3A/cDvsF2IXkYIh2ZDEltI9GClGyIQCASCxYmoDggEglplM/AjYFtmhmFZ3PbyEX5y4PCiKWLVI87vTmSnlx9FDK+tGvaPT2SnfaqKTK73ZGWggdNa2zm9tZ0mR4H5kZcGeLFnvGxtavTlOnwsyyIcLU9c0kLzH7/azXVXbKSr1S6snbSiiX95z5l88jtPVLhl1UXKUbDxabMrpAjmRtwwGU6kaC7Q2TpbURFAz+EjBUVFTS4fqiSX3XWnVkQZJyLPeWcBP1Orp7CgCOD4kaNFn9NkGdkhhIrr9rF7yYrlBZfXLZORROnE+PluP7V1TZ4viquN/XcxORXNhWcOj9A7Fs+Kio5MiIElxbj6F0/zlQs3cuny1mlFCa9e3cYHT4vy1T/VZzFbUJ34HK6ZxQQ6paSpwc01l6xhZVfxGNJipHST44OTxLpFfnP5h21xb77Y8blVrr14TZ5Izkk0qfOtxw9xyyP1nVRkiX7BmqU74Ob8Jc2c2h7k9M4QnX73iV6yE/g18F1gT9kbKBAIBAKBYM4IUZFAIKg1ZOBDwL8A2TuTnmiMm3fsYc/YRNEXCmoDpwOAGJBUfoRTUfVwYCKMaVnIkoQkSWxsbGKZL8BlS1fg16YKDHrH4nzq5y+UtU0hb269Cx0zUE6+eeP5WUFRhj+/cDV3PX6Yh5+vL2v56TAc37lbFUfkheJYOF5UVDTr9zp8hJO2bZ0yX5IkOrxBjkVH59TG6ViM8Weyw3nHWMBjYbvXW3B+NBIhFi0eheeWcyJA07IwLBNFUVi+elXB5QfjEcwSOmw4ry1SNe1UVBv7b75TUW20udQsaco5PO4YEveD0/GxB3ezOuTlb89cS2fATdIwGYwm6Y0muHhZS9ZB4Prty3nw8DDP9ovtOVNUYadRVtoac+fEiWiqrOta1R3krZevn7U7EdhhZscHxhkfGyEWDROLRYhHI/T3Hy+yvKP/wzHgR0JCliVcmoIiS1lNkoTEklYfa5cEURUZRZbsc71hoZsWhmGiG1b23i3znhaWLWCy7HOFadl/W5aFadmxx7phousWKcMW1UoSqLKMokgosoRhWunl6vNcMx9aQx7+4vL1vPXSdTQGpoosRmJJvvX4IW59TIg5If/apk4vbWoKn6pw7YZOXremnY3NhaObHVjYkWY/B34MvFTu9gkEAoFAICgNQlQkEAhqieXYGcEXO2fedeQ43917gIRZG6OJBdMjnIoWFlUSnd/VQsww6IlGWeq3xS7Xb9qKKhf+fvb0jnP9D5/iyHDp4moKEXI4FWU6l2sZn0vl9ptezZoloSnPSZLEtz56AeffcCdD44kKtK76EB24leFYJM6WlvxR8bIEra2tqKpKKjXzQtrYyCjh8QkCwamj7Lt8ofKIihzTpRSqVJJKude0egqLiob7+6d9nctR2M6ITLqXL8PlLjxS+Fi0tKKBPBFWjbj9ZJBq0KlIzhNCVbAhFWQkkqAp7frw9k1LeOO6LiaSOvcfGeKHu44RW8CopFrgwFiMd983VZje6jnIb95wJi5FRpYkPnPeWt54+zOL5EheftYsCfHdv72Eo/1h+oZj9A1HicRSROIp4kkD3bCwLAvDtFBkW6ShKrZgQ1VkNFXGpcqzuv6SJPs/+8EWnjincUzL2efTz03J2spd+2WELpm/ZUlCknPvkTnu5N+up99fyh1L7b/tadO0hSyZR8O0pzMCmEJOayndJJ40SKQMXnveiuz8gZHyOZKdcVI7r3vFyjyBTzE6mz14pQjjY6NEwmNEIhO8fDhMPB6zRUESBCRo8Ej4WkwCATvqWnL8P3k9p29oA0lCliQuOns569evLrjuj1x7ynw+5gkxTWvabZDUDXTdFhkZpjVt/N+OA8N85P/9gdFwsugyi5X1y0K88zUb+bPzVuJ2FRap9Y7HOesbjyxwy2oHES1Z3Zy/pIkvXLDhRLFm+4E/AHcC9wHls9sWCAQCgUBQNoSoSCAQ1AIS8DbgG0AwM3M4keRrL+7lqcGRijVMUHryRUUVbMgixiLXhyziz6qLfeMTWVHRZEHRkeEozxwe4VfP9vDbXX0LIvho9OZs2ZOp2RXkVFnG47GLI5oiIysyLkVGVe2iiSJLeFwqAa+G36vicdmXpbJk75eyIqMqEh6Xgm5YRGMpogkdfZK4SVVk3JqCx63gUhU0zX5/LV2c0VQFTbXf68rzVuL35nd2/ecjL/POV9juHW5N4Y7PXc75N/xiLptr0eE8PiQX2YjkhXSbmS3HwvEp8xRJQpZlli9fzr79+2b1fkcOHmLT1pOnzA+5fHgVjZhR3tH+iwGne81CxXlJQEsREdDIwOC0r3U5nIp0y3YKWlbEpShlmvSWXFTkiIurMdG/s0Ce2XbVTp5TURUf28rJL5/p4UOXbwCg3Zf73Zzc2kDApXLzU/UdIzNTBuMpvvynA3zqrLUAbG1v4NpNnfx0l3BxLEY0lX+cuGBbd4VaUl8c6y/u1jdXFFniivNWcObmEztDxuNRYsMHSfSMkkxOFcpk7mucqIoMloWiTO9+5IwvnY2QvNScSFTlUhUKfMyCXHBKN2955VpuvfPFErSs+pEkuHBbN+96zUbO29I55XnLsmUymeul1oCLoEdlPL44osZLguimqkpWBL2cv6SJk1sbaPFqLA96WRIoGNe8B/gN8CjwECAuJAQCgUAgWAQIUZFAIKh2WoBbgT93zvxD3yDf2PUS4ylx073YcBbrJOFUVBac5SYRf1Zd7J+Y4KKu/I7HncfG+OydO3ny4PCCt6fR4VQU9Lu46f1nc/tDB/jjzpxLxitPW8INf76FTaua8/r+qv33u/PYGO/7wZ84OhIjljS4/hK7gNbd4udbH72A9978UIVbWHk0R+RZPFUbxfXpcO6R1ayRGogniegGfjVXdMoUHVauXDlrUdGh/QcKiooAun2N7J8YmHtjC+DctNV9FJg5+fFSC7PORpe7qJvgyOD035nTqShpGEiSRGtHe8Flj0bHSu4o5by2MKgxUVHNOxVV8cGtjNxy7x6u2r6EVW1TIzde0d0kREWz4Md7jnPd5qV0p4uEHz9rFXftH2AiWfvXAeXg0Hj5HHMExXn2pdJeuwT9Lt56+XqWtPunXU5PJTl0YDdHDu5ldXcAtaFgMb0giqKQSCTw+XwnXjhNIcESkOfq5BwwlKEa78NWdk51zVxseN0K11ywmutevYHV3cEpzxumxcO7+vj0T55FVWTu/fSrcKkyqizzldeexHt+/nwFWl2dOPfg+ryyqS4uWNrEO05aytndjSda9CbgP7FFRQKBQCAQCBYZQlQkEAiqmVcD3wW6MjOius6/7d7P/cenj30Q1C66o1onL5pyZJXh6HkUoqLqYkMwP5brwT39vO8HfyI+S5egUuFS8wvab7h4DW+4eI1dtLTyIw1qiZ8+cZi/v2MHiXQcyld+s5utS0O8Yr0dSfDK7d1c9+r1fO+evZVsZsVxfv9jicUl4q32wvve0QintuaKERnRwPLly/OipWZCeHyCoYFBWtpapzy3xN/EwfBg2dx3Fst5vBKijRZP4UKlYRiMj0wfW+dy7CMJ0+D/s3ee4W1cB7p+Z1AJsBexiyJFUVShuizZstx7SbNTHSdOnLZJnOSmbXri9Sa5yd1knbLpTmI7yaa5xHGJe5Ely5IsWxJFiZQoUaLYxE6CJOrM/QESGBAAmwACA573eWwBMwPgcMqZM+d85/uyc3MwGiM/+reNxD59wKCNP9ObU5HmtU/Rh4hCu789yayYjDOX/d/nuPWCJawuz2J9RS7LCv0D2HbT1K4ggnDueP4wf79hA5IkkWUxcWP1Iv7U0JHoYiUlk9vBz7x6msI8G/nZaditJkwmv1umPJ5LNiFcVAHG3UpUVUVVg/Fgc0H7Mf/r8cAgNTggPyFECUacad5IUgRhSuh3Bsqsjn+79nsCG068V0N/B78bqYQ/Rs3/rz8eTJKkKA7FErIMBtm/Dw0awewze85E3xmzpKo0k3deuQybdeou8r6eLhoO7Mblco7/PcFCO90+hsfcKAqBiLuJ46mqKooKXq8PZCP0DY4f84nj7/+f0WgACdSJzyngSuvg1GgOXp+C16cysV+Ptw/x+yenfk4xG2UUJegYKMsgIyPLfkdZSWY8gk/CNO4mm2Y2YDEbSbMYMMkyTo8Pt1fB5fbi8amYjTJWswGL2UCa2eh/bZL9LkwR+OzNayjN9wu1MmzmiNukAsW5Nm69uoZ3XVZNVnr43znm9vLgq6f57kOHGHUH20WP7Gvl5q3+WL81xeEipIVMSJWwcJs2CUUCLinP5UNryllbMO35eRj4ILAn7gUTCAQCgUCQMISoSCAQJCN24PvAx7ULD/YNcPfhJrqdrsSUSjAvaGeF61CroAtUjapIiIqSh1XZWWwrLAi8P9nt4I4/7k+YoAjguSNdfPiiKrImdQJPDIzEApfHh8ur4PEFvTL8nfD+2ZxeRUGWJCxGGYtRjihicvsUPF4Fr6L6O90VdfyzKj6f/zt8iorD5eXB/Wd47EDowJiiwqf+tJ9/fno7pTk2JEniq7ds4LWmbg6dWLgRm1qnot6RyDOl9Uqy90039TsmiYr8/5rNZkpKSzjTNLvz8lTziYiiIpNsoNiWzZmROJ3nKXKP0f4VsXb1iUaeJbKoaLCvD2UKBx2TJIdEpzi9XooKCiJu61NVBtzxddmYr7i4eKAXpyKtqMjt00eZ48X9u1oAuP3iKr72Jr9DW0GamWyLkYEUE8fGk6b+UY70OViZ5xdmCVFRdLTPUiNjHj727ecTWJrUZfuGEn73rSsB8PoUzvbH5t61fV0xV25ZPG1zpbWliWMNb0xItYBQUdHwqJuTndNHiXoBI9EizcLrKKdHYixC3TU5DjoSbm/oNooCCgoo4J4nF8FrNpcHREUp0iQMYc3SPG6/rpZrtpSHCatUVeXskJOfP9nEfS+diPj5xvagsDtc1ieYQL8tSf1ycVkud2yooDY33AESvwvRDuA00AY8D7QgDpVAIBAIBCmPEBUJBIJkYwtwP7BsYoHbp3Df8RYeOd0mnlAWACHxZ6JjJS5oryNjKvbu6RCbQeZLa1YHBDMjLi8fvW8fw87EDoAd6Rjm0u8/zwXL8tlSmcfWpXmBmf9aDrcN8uc9p3n5WA+y5BcDeSbEPT4V38SM3cC/fuGQd75yhGZA/6iHf7v/Nf72bxdgMRmQZYk/fvVyzv/Ew4wk+DgkgrxMS4iAq3M4tQS9ye5UdNoxhsunYAkMUASPRdXSpexpOjy772s+Sd2GdZjM4bOnF9tz4yYqmkr8oidMcvCxeb7OnawIxwpgoLd3ys+ZNIIiVVXxqQq5+XmRv8s9FvO29WR3qmS/1qZC1UnZQ5yKvKlxzZ0rf37lNF+5cRWy5Hfg+M9tNXzuxaO4FrjoajquryzgPbUlVGXZSDcH673K7LQEliq50YqKdFJl6JLqsmDkTs/AGMo5PkOYTTI3XbqUlVW5U26nKApNh/fT1toctk5rHDnTe51PUTDOwnAyIyty+YZGowmTkgslpG8nNZAliSs2lXL7dbVsqg2PllVVlYYzg9z1wEH2HJ+6zRbSzkiVHSTQNWlGma9vreZN1YWRVj8BfAfYiRAQCQQCgUCwIBGiIoFAkCyYgK8CXwMCHvUnhh384FAjp0dGE1YwwfziVbWz/xJYkBRG2wcrC1FRUvCt9euwGILxHP/+9wMc63IksERB+kc9PHagI+Duk2MzUTE+49SnqJzpG6VfJx3b03HozCDfeLie7719LQB2q4m/fetKrvvSEwku2fyzaXmwk9zlVegeSTVRUaJLMDU+FY4PjrJqfHaotqqurKzEYDTg8848msnr9dLceIzaulVh69KMZhZZMzjrnH6G/UzQ3lVSYYDVLBuxGYMCH4dnfuq7aKKi4cHBKT9n0syUnxjMy4ngUgXQ54q9S9HkZoWuRUWJLsAM0QpA9ewMFUtG3F52NJ7l4lr/oNjFZXncc1UdH3rqEE4hLIrIvVevYf2izIiOkPs7Yx+TmCpon1f1IkTUI6WF9sDr7n7nOX1XYW4a7766hrysyI6AE7icY9S/vouB/p6I66UpolElSYp4PszmyduaZiMzO7KoqL1HJ/1jWs2Mzjt37FYjb79kKe+/ZjmLC8PdW7w+hefqO7nzbwfoGJjZOSqqjOhMjl8UxB+TLPH7a9awKj9sEtlTwDeB3fNfKoFAIBAIBMmEEBUJBIJkoBa4D9g8sUBRVR5oOcOfmk+FiEwEqY9PSb3ZbMmG1rZdxJ8lnuvLSlmSEeyYvHfnybB4rmSif9RD/+mBRBcjbvx1byvrFmfz7i0VACwvz+bbt2/mq/fsTXDJ5pe6ypzA69aBsaQX4cwWVQdygSP9w0FRkWa5yWSidPFiTp84OavvO36kkWUrazFoBIwTLE7Pi5moSFva+YoKiycZxlDXrsP9fXH/TYvBgEUOP04AjmlERWaNU5FPVbFYLKRnhDvMAXGJPpvsMqnMU8RKrNAeaz3UExDqDnWu7h2pxIfueZVdX7+Kgky/cGBtQSYfX1fBD1+bXd25ELjv6jWsL8yKuG5vxyDfevn4PJdIP8jCqWheyE63BF4PnkMk7/KKbN5xxTLMpqntggb6uql/fRcuV2RxSIbNhN1qCryffOyjCcxmo6upWr4mosgPoLl96rZAsqC9j+rVhbo4z8b7r67hXZdXk2ELF3wPj3n4350n+eGjR8Ii52aDPvfO/KCX9pheMUiwpiCTj64tnywo2ol/8u+LiSmZQCAQCASCZEOIigQCQSKRgU/jt08NTBPrHB3jvw830TAgZkQuRLwi/izuaPs4hagoseSYzbx3aWXg/dGOIb7z6JEElkgA8K2HD7OyOIu1i/1RC++8dCmvHO7i0d2nE1yy+WNJUbBD8cxQ7IUHiUYP4+4nBkcZ9fqwGQ2h7j9AxdLKWYuKnGNjtJ5oYcmypWHrssxpZJnTGIyByCTUqUgHO3oavJMi3Ia98XcqyjJFdimCGTgVaURFXsVHZk521G37hVPRlOjl/A1xKtJD5TZPeBW45LvP8MTnL2Vxnt/l5JbaEn5x4DSjs3B6S3XevbyYdYsyA+9PDozyp4YODp4d5lj/CMNusa+mQtahEFGPmDSZYd45Cje2rS3m6q2Lw+5Tk2ltaeL4kQNRI1yL82yULQp1qvH5ZnbsDTIzssErKa+kuGxJxHWdfWP0O+YurJpPFM0u1Fu3Q11VLrdfX8u1WxZjNISK0FRVpb1vlLsfP8oDr8bm+VDUHpPR2QmjMzLMBi4szeXislwuKM0hVyOSHOdV4FIgNSypBQKBQCAQxAQhKhIIBImiCvgdcJF24VNtnfym8QRjPtF5uVDxanqe9NbxpBe0Hd4i/iyx3LlhLYbxAWCvT+Hzf30Dt4jlSDhun8LH/7CPf376InLtZiRJ4gcfP58Dzb20do8kunjzQkl+MGaiY0j/0WdmWQ4ZePcoyX+dKUBDn4NNi7JC74cqLCouwma3MTrLeNhjR45GFBUBVGcs4rXeU3Mv8DghcQUpMETimzSoWGqzc2I4vsL3aNFnLqcTt2vq69GkcTjyqAo5mZkRt3MrPlxK7NvbYYJwHZ0CRjl00FAvgijtPheiolBG3Qo3/vBFDnz7OgDMBpmydAtNAzqJDpoHPruxMnB/bO4f5e0Pvy6ERLPAKAunsGTHIEvceFElG2sLptzO6/Vw9NA+ujqii0Sqy7LIyQh1MHSMeegZmlnclaT68GLEiDfqNhXVK1i6fE3U9a8c6ZrRbyUbeuh2kCWJKzaW8sHra9lcuyhsvaqqHDw1wH/8/QCvt/QnoIQLh8kTKgTnTppR5sLSXG6uKWJrcTaG6NZpfcAHEYIigUAgEAgEkxCiIoFAMN9IwEeAHwCBEct+l5ufHjnGnu74R0oIkhuPiD+LO8KpKDn4ZO1yitLSAu9//OwxDrcJh7ZkoX3Ayaf+uJ97P7QFgyxhNMg88B9XsfUTD6EDPco5k58VMBCkfYYDJcmMzRwqFvDqZODvYO+QX1Q06Y4oSRLVK2o5uG//rL5vsH+ArrYOCkuLw9ZlW2xUpOdxytF7TmXWohdRxlQ4vR5UVQ0MIN6xqo4f1x/kpCNWcXHhRBMVOYamv0eYNPd1t89LelZkUdGwZ37EgnqKwDPLod0jeolu0w5up8I1F2uGnF48XiXgdLIkyyZEReOUpluxGoNCxC+90CgERbNEa2AiREXxw+0JnpdG49TRZVpsViPvvrqGJcWRY0AnGHEMcWj/TkYcke+zRoPMysocrObgfcKnKLR0OuidZTtZUeWwjg5rmo28RSWUVVSTnhndYbB70Mnrx2LXTos3WocpzzlEg8Ubm8XIzZdUcdu1y6koDD9XvD6FZw518M2/HqA7hpMtRFfMzBBNm7ljlCVuqFrEjUsXsWFRJiZD1PrTA+wAngTuAzrnq4wCgUAgEAj0gxAVCQSC+aQMuAe4SrtwR2c3vzh6nCFP9NlagoXD5JgRQezROkcIUVFiuHnJYrYXBWc/7mvp42fPHU9giQSR2Hm8hx88eZQvXrsCgLxMK3/4ymW85z+fS3DJ4k+WPShqSAVRkd0c+tijB6cigLNjbs6OuVmWbdcs9dfhlcuWcuTAITye2U0ibWo4ElFUBLA0o4A+1wjDnnM55qklcPCicGSgnRXZJUiShN1o4v/UrePnR+o5MhCfWepZZkvE5dNGn0kyssZtx+nzkpmdFfm7PPGJTpncqtCTW5VJCh1o8enk/JWFU9G0dA07KcuxAXB9ZQFPnepJcImSg0vKcgOv+50e3jgbP7FkqmIMEfUlsCApjlsjSDHPUFRUkJPGrdcuJycz8j11grOdrTQc2IPPF7k/KtNmpmZxVsj91eXxcaxttZW8EgAAIABJREFUkFHnzPuwzBYrabZ0nJKd0vxMbOnppNkzsNkzMBrDoofCUFSVh15u0VXbyqwRLSajqKg4z8b7rq7hnZdWk5UeLuh2jHn4086T/Ncjh4l78fVzWOcH0U11zlgMMj+9fCXnl+RE26QHeBR4DHgGGJivsgkEAoFAINAnQlQkEAjmAwm4FfgxEBjZGHJ7+PnR47zcJTp1BUH04h6hZ7S7WMSfzT+frF3O9qJFAWeBriEnd/xxvxgITFJ+/nwza8tzuHp1EQBbVhTy6ZtW86MH6hNcsviSZg4OAqSCqMhoCK3r9HS5vd49yIXFwc7giaKbzGYqa5bRdLhhVt/X1d5Bd2cXBUWFYeskSWJ1Tgmvdp+c86BVaFyBjnb0FDzdfhiXz8u6vMVIkoTVYOCOlXXc03SE13q6Y/57UZ2KphEVmTWzjxVVxaeqZGZFdjxweOPjVCRNalfoaOwTsyY6DkDRidBdu89FWyIyT9d38IHt/ujHyxbnc9cFy7jzleN49XSCxoFMzb2+b0yknMwF7bOUcCqKH26Ng5ZpBqKiZeVZvPPKZVjMhim3O3nsMCeORW/TlxXYKc63h9SzQyNujncM4Y2iMsnOLSA9MxubPYM0WzpWm500mx2Dwd8Ff6prOKIbznQ8saeV02cds/5cItEeK3cSiYo2LMvntuuWc/XmcoyTnFtUVaWjf4wfP3GUv75y7rHAgrkheqlmRqHNzEVluVxQkkNtnp0si4lRj49+p4cCm5n8tLBniiHgn8Cv8TsTJc+FKRAIBAKBIOkRoiKBQBBvCoFfAm/WLtzT3ctPGo4x4Badl4JQtO4RkiQhI55yY40inIoSQnVGBl+oW0mOJThbdsTl5UO/20vnoP5FG6nM5//yBssKL6SqIB2AO966mj1Hz/LK4bMJLll8sJplZDlYN7SlgKjIYtCnAwnAwd7hqILb6hXLOX7kKMosnZf2vryLK990PaYI4hWb0UJNZiFHB4XrvZaXuhoZ9bq4oHAZkiRhlGU+vHwlaYYmXu7qiNnvGCUJmyHyY/q0oiKNKEZVVUxmE1ZbWsRtHXFzKgptV/h0IswBMIaJivRRT2j3uJ7qtvnkvx4/wi3nLwm4Zryluogsi4lPP9+QItLHuTGkEWrYTFOLLwSRMcqp5c6XrGgFKZNFIJPZurqI67ZVTBkt5fN5OXpoL53tpyOul4Daihwy7KHtpI7eEc70jKJOOtaybKBq+WrKl9QgG6a7lmb//P30a2280qC/5w6DnDyiO5NB5pot5Xzg2lrWVueFrVdVlfrTA/zHAwd57UTfvJRpshBbEJlUmaQQKywGmasq8nlbTSGbi8InD2SajRTZwxzangO+DuwBREyAQCAQCASCOSFERQKBIJ7cDPwCCDyxj3i8/LqxmWc79NchIpgfJs8YtsgyYzqJqdEL2v48bUefIPZYZZnryku5oqSYPIslpOPw7JCT23+3l/q2qQeJBYnH4fLysfv28dAnL8RuMSJJEr/5/CVsu+NhBhzxGZhPJCsqckLO1c6h+DiazCeTnYr0NPDuU1XaR12sG3+vLbnNbqNsSQWnT5yc1XeOjoyyf/detly0LeL6UnsOo143p0dmP6iiEhwumyww0Tv7elsY83m4vGSlX/gsSbxv2XLsRiNPtrXG5DfSTZFdigAcQ1NHE2mdiryqQkZmZtRthz3xua4ni5W9OmrDmTTRNqqq6mYQS9LEtiV60DZZGXUrvPVHO/jzJ7aRYfXHDF1ansc7lhfzl8bYiQL1hlZIpKdrVbDw0NZtchRNkSxL3HDhEjavXBR5g3FczjEO7t/J0EBvxPVWs4EVS3JDXHZ8PoWTncP0DYffOy2WNOo2XUhWTrhQJRIGw8zbRk63j4d3tlDfEp+41XijnaSQKCe9nAwL77psKe+9qoaiXFvYeo9P4dlDHdz5t4N0JXCij17aHPOBUYZcW/T28EJFAm6oWsSnNy6JJBqKhg/4KfB5hJhIIBAIBALBOSJERQKBIB7k4n9oebd24Ru9/fy44RjdTv0PTgrix+QObavRwJhbdHLHEu0sWqM0vX28YHbIwA3lZVxVWkyB1RpxBuLOYz188W9v0D6gfweYhcKxLgf//rcD/PS9GwH/gMN9X76UN331yQSXLPasWpIbeN094sLl038dbJInx5/pq+O+c0RbV4SWvWbVilmLigBaT7ZQXFbC4qrKiOuXZRXi8nnpcg7N+rsnSMUBksMDbYz6XNxQvj4Qe3NT5VJsRhMPnTpxzt+faTJFXO7z+RgbHZnysybNPd2jKGRkZUXczqsqOH3xGVeYHKvq1pFQwaRxKtKTw5J2nydTvEyy0dA+xAV3Pc0LX76cvHT/YNwXN1VxYmCUvV2DWA0yF5XlYjcZ2NHWR88CiAOryLAGXneOpJ5Iej7Q3uVSS0abXEx2BppMmsXIu65cRlVZdDEtwPBQPwf3vYzTORpxfW6GharSrBAxzJjLw7G2IZwaZ68JMrJyWLNpO9a0cLFKNGwWIx6vMmWMm6KqHDrZz5N7Wxka1W9dpG1+T3cMY82ysixuu2Y5b9m+BKs5fPhjcNTNH146yY8eb0DcOpOHbKuRlz4WOulB6KUh12riO9truLA0N9LqE8CjwPNAK5ABFAAG4AVA2M8KBAKBQCCICUJUJBAIYs21wD1A8cQCp8/H75pO8sSZjhQcWhLEGs+kHgOrwQDotyMtGdEOpk8e/BPMnc35ebytYjGVGelR92tb/xg/erqJv+2LjaOFYH557GAH63ec4PbtVYBffPPBa5fz2ycaE1yy2LK0JDgg05ECLkXgjzzQ4tNZgyTUxS+0fsnOzaGgqJDuzq5Zf+/ru/eSv2gRtnR7xPUrc0pw93rpd0cefIuEtnQ6280z5uRwDw+c3MvbKjdhGBfyXFu+mEyziT8cbzonJ6yMKE5Fow7HtANyJk3kilvxURjFqShe0WdAYH9MoOgoxFYbf6Yn4aGsueo8eqvc5hmH08stv9jF45+7BFmSMBtkfn1lHbs7B1iaZQvM/B/1+PjYs/W8fnbuoko9MOwJiiQyzCL+bC6E1BXisWpemOyCmJdl5dbrlpOXZY3yCT/dnWc4fGA3Pl+4OAigrMBOcb49ZEJI75CTls7hiC47JeWV1KzeiCFKZGk0stPNnO13UpQbGk+qqtA1MEb9yT72H+vRtZhoAu2+nA8nPUmCi9YU84Hratm+pjhsvaqqnOoe4Qf/bOCx19viXh7B7Hn4/eeRlRYU2Lt8Cvu7Fq6zc47FxOc2V3JtZcHkOG83cD9wH/BSQgonEAgEAoFgwSFERQKBIFZkAD8APqxd2NA/yN2Hm+gYE24cgpnhmTSj3WYUHdyxRjveZBSionNmVXYWH1+xnAJr5I7sUbeXlxq7efC1Mzx39GzCrN8FseH7Txxl+7ICaooyAPjSu9fx5N5W2npmLrpIdioK0wOv24dS4/5t1GRl6EksMEHHSFDcZYyQ+1GzasWcREUej4c9O3Zy0dVXIEf4XlmSWJtbzr7eFhxzisvS376eKe1jA/xv827eVbUlIEbZVlhMRXoGd9cfZGiOwp0Mc2SnotFhx5Sfk5FC4rvcPg/2jPSI2zq88RMVaUW18+1KcK5o3Rv1JIaStQ5VUQbLBUEaO4b51oOHuPNtdUiShEGW2FaSE7KNzWTgrgtqeOsjr4VNeEglDnQP8d4VpQDU5qVz8/Ii/t4oDA1mQ4imSDxXxQ0lirZ6aWkm77qqBqtl6j6DluYjNDcejLq+pjybrHRz4BgqqsqZsyN09oe372VJpqZuI6WLl87qb5jA41U43e2ge3CM3iEXPYNOugeddPWP4k0xYajWqSieVWmaxcBbt1dy2zXLWVoa7tKoKCqvHu/hzr8doKlj6ihZQeJYX5LJkpyg2O6ZUz38aH8LJwfHEliqxGGUJO65uo6a3LDJH08CnwCa579UAoFAIBAIFjJCVCQQCGLBduBeIJCf4VEU7j/ewj9OtemoS16QDEye3W+dwhZcMDe0A+oGWXR+zxWrLPOFNatYnZ0dNojg9Sm80HiWB/ad4fmjZ3EJT/WUwe1V+Nxf3uCBT2zDbJQxGGTu+/JlXP65RxNdtJhRlBuMcGhLEVGRyaCZKa0zoQNA40BQUCIjYZRkvJp4puKyUvIK8unt7pn1d/ec7Wbfzt2ct/2CiOsNssyGvAqODLTT7Zxa2DIZHe7qWdHrcnDvsZ28t/p8LAa/GKjMns77ly3nZ0fq5+RYlBEl/swxPLVjilkze1lVVVw+H+lRnIpG4igq0nOrwqRXpyJt/FmKDUjHi/t3teD2Kdx105owJ7sJKjLT2FqczY62/nku3fzxVEsPd13gwzo+ieO7l9SwvjCDO3ceF+fSDBHxZ/ODVqQ6UeWdt3IR11+4JCSqbDKKz8fR+n10tLVEXG+QJFZV5WK1BLvHvT6F5vYhBiNEAlrTbNRt3EZmdt60ZfYqKgebe+kZdNLvcNE37KZ/2MWoKz7xo8lIiFNRHO6rRblpvO/q5bzrsmqy0sOdHp1uHw/vPc23H6xnZAHtd73y9ctrAudM6/AYn33hyIKMPsuyGHlLdSFvri6kJidEUNQNfA/4ESBOaIFAIBAIBPOOEBUJBIJzwQrcBXwOTR9a85CDH9Y3cnokdVwbBPOHil9YZBjvTDBJQlQUa0JERWJG7ZzINBr58fnnYTOGNqWOtA/xx92neOJQB30ROqIFqUF92yA/fKqRL123AoAlRRncfm0t9zxxNMEliw25mZbA645UERVpBpz0OE56YnCUEY8Xu8mIJElkmKxhkWQbL9jCM4/+C2UOTiWnT5zEZrexesO6iOtNsoE1ueW0jw7QNNg5C7GMDnf2LHF4nfy2aQf/tuKywLK63Dw+tWoNvzhymDHf7Pr8o8afTeNUNFlUpALpUZyKRuIYf6Znpw6zJj7Op+pHDKyNAvLpsYJLEH959TSPvt7ORy9dytbqfPpH3LT2jXL7xUH3EZsptR1TFeAjTx/i99esDYjT3rGimGyriU893aDL+2Ui0XH1l/RozYxlSeL6bUvYWlc45WfcLieH9u9koD+y4DrNbGBFZS5Gzf3T6fZxrG2QsQgClNyCIlatPx+z2RK2TkvXwBi/+1cTjjH9x5edK/FyL1y5JIfbr6/l+q0VmCZNQlNVlbNDTn7xVBP3vngiZr8piC/lWVY2aFym/ny0Y0EKii4qy+GubTXkpYU9DzwMvBN/7JlAIBAIBAJBQhCiIoFAMFfW489vXjWxwKeo/K2llb+cOI1XR7N7BcmHohEVCdFL7PEJUdE5YZZlfrBlU4igqGNgjO89cZRH3mhLeWcOgZ/fvHSC69YUs6YsG4AvvGstf3nxOI5R/U8azEgLOqWkilOR3Ry8Xt0+/YgFJlCA4XFREYAhguA2Mzubuo3rOLDntTn9xtFDh0mz2VhaWxN1mxJbNrkWO0cHOuh1jUz7nQulOnQrXk45eqhIzw8sW5Gdw7+vXc9PDh+i1zWz68ggSdgMkR/RR6ZzKtK47HhVFWtaGsYorkfCqSgy2utKT6IiLaINMjtG3F5++GQjPNnIj27ZwAcvqgqs8/gU9nUOJrB088Pr3cN87Jl67r5kZUBEdVVlPvffuJbPPnuUzpG5RF8uHEKFEnquAZMbRaMqysm0TCsocgwNcGDfDpzOyBPdcjIsLC3NCnE5Ghpxc7x9CG+EduKS6pVULa+bVjj7RnMvD+9sSbkYs7miba6e6/1JkuDidSV86Ppazl9VFLZeVVUOtw7ynYcOsfvY7J07BYnlNzevDVxfA04PDzQtrCjOIpuZj6xdzDuWF0da/QLwAYSgSCAQCAQCQYIRoiKBQDBbjMCXgG+iqUPOjIzyw/pGjg3NLhZDIIiET1WZGAYzR4kkEMwdrxAVnROfXb2CLHNw5thDr53hGw/X4xCW6gsKn6Ly5b8f5JFPbccgS5iMMr/8Pxdxy7efS3TRzhmLxpkhVZyKtLcSPcUaadG6kahR5DrLVtTSeaadrvaOOf3G66/uxWK1ULakIuo2VoOJdXmL6RobommwE7cye2ekVESOIPQqsdn58toN/OLoYY4PTS9OiBZ9BjAynVORVlSk+LBnRnYpgjiLinTcrgiNP9OPqEi7y6PVDYLolGRbefBTF1GYZQ0s8ykq39nTTK9zYTiNvNIxwMV/2c0TN20mf9wdYXNxFo+9fSPffaWZx5u7GRVRvhERkqL5QdHsacs0DmI9Z9upf/0VfFGcAksL7JTk20PuV90DY7R0OcLcdAxGI6vWn09BYenU5VNVHtvdyqtHz073pywotNfEXNvfZpPMW7dX8sHraqnWONlM4PUpPFffyTf/eoCuwdR4bllo/OqmNdQuygi8/8ORdhyehfN88ZbqQr62dWkginQcH/6Ys/8FXmPhzNUQCAQCgUCQxAhRkUAgmA3LgXuBLdqF/zjVxv3HW3ApoqNREBu8igLjERRWWYiKYo22Q88o4uVmRYXdzvrc3MD7Jw518Pm/vrEgrbkF0NA+xL07T/LB7X5ngy0rFnHxmiJePKjfmZUF2daQQZa2FOmc1zqQ6PVyNWpm0w+4xqJut2nb+TzzyGO4XHNzl9izYxcmk5nC0ogzZQMUpmWSZ7FzfOgsbaMDEbeJZdRFsqM9xzyKF5Psf9TONJv57Oq1/Kn5GC93TS32ihZ9pigKoyPTiYqCv+9WfGRlZETczqMoeOLYZpd1PKyujdz16ei5RkZz7unQiS3RPPCp7SGCot4xN1/Z2ciu9sj1WqriVBRufGgvf71xA+UZaQBkWox895LlfPeS5fSMuvnj4XZ+uv90gkuaXCyg21xCybJPHTk2wekTRzl29EDU9cvKssjOsATauqqq0np2hM7+cEcja5qNtZsvIj0ze8rfHBr18Ofnmzl9Vkywm0xo/NnsPpuXZeWWK5bx3iuXkaepoycYdXn5y64WvvePw7iF6FG3vHttCVctKwi8b+h18Lv6Mwks0fxRlZXGx9dVcE1lweRVjcB7gP3zXyqBQCAQCASC6AhRkUAgmAky8HHg+0DaxMLuMSd3H27iYH/q28IL5hePRqFhEk5FMUcbfybr2FEgEdy2bGmgE7pvxM2X/35QCIoWOP/9VBPXrSmhKMsvxvnRHdvY8NEH0NF4dAh1lUHRnNun0D2SGi7r2qpOr05F2vq6fayfbLMNiyHc2SbNlsaGC7bwyvMvzel3FEXh5WefZ+XaOpbXrUKeQtxrlA3UZhdTas+habCLAXfooJxPp/t6LmhFuof6WjEbTKzKLkWSJIyyzPuWLafMbudvJ5uj7pdoTkWjjnD3BC0SYNQcJ5fiIz0zsqgoni5FoHOnIk30nJ7iz7T7XETuzI7a4gwKM4OD1a92DPDvO44uGIeiyTi8Ctc9tI9vbK3m5mVFIedWvs3Mpzcv4cXWPg51C/GEYP64aEMp62uDg+6RbjOKotB4+DXaW09E/A6DJLGyMoc0a/A+6/MpNLcPMxAh4i8rJ581my7EbAkXs2g52TnMX55vxuEUjrWR0NYhM21/VxSm85EbV/LW7ZVYzKGuVKqq0j3k5H+ebOT+l07GtKyJQMdNppjxnvVlgfNk1OPj48/U40pxgXSRzcynNizhTdVhMY7d+FMBfguI7FGBQCAQCARJhxAVCQSC6SgHfgdcrl34bHsXv2psZtS7cCxpBfOHdrDNIpyKYo5Xo4LROl8IpmepZpD2tztOMDi2MAedBEEcLi/feOgQv7ptMwAZNjP/98Nb+OIvX01wyebGqiU5gdcdQ07duvpMxhASD6RPtHGVHsXH4f52NuRHjikrXVxO5bKlnDzWPKffUlWVw28cpLOtnc0XXhBVoDJBhsnKxvwKup3DIcsVUntQQEuoU5GPnWeP0TU2yKXFKwOCsMtKyii22fnZkXpcvvA2dDSnotHh4YjLJzDJcuA3VFXF5fNgj+JUFHdRUVy/Pb5ohWG6EhVp9rpwKpod25cvCgxmDru9fOSZQ0IsDvzH7uM8eKyTH1y8gmK7JUQY8Jvr6ni1bSBwL9VG7kXTDGj36cT22m0nXquoKKqKV1HxKf7I5g6Hi3vrzyCMSBYeJqPMTZdXs2pp7qTGW+idxu12cWj/Tgb6uiN+j9VkYGVVLkbNZCWn28extkHGIsRXF5dVUlu3CdkwdczajkOdPPXaGeFWNQUhoplp9tOSogw++bbVvGlbBYZJfUCqqtLUMcR/PnCInY2Rj7PeWajnkfYe8uzpHnpSuH/FIMGH1yzm9roy0oxh9ctO4Bbg1PyXTCAQCAQCgWBmCFGRQCCIhgTcCvwEyJxYOOB28z8Nx9nd3ZuwgglSH6/G4sMqnIpijla0ZRDT42ZModWKVdO5/ExDVwJLI0gmnm7o4rED7Vy/tgSAt26v5GcPH6alS38z+csXpQdetw+lzgTJc4lfSBa0wiifotLvHuW0o5fF6XkRt1973ib6e/sZ6Oub82/2dvfwzD8fZ/XGdSxdXjOtC02BNWNOs9JTAbPG5WbM5xfuNAy00e0c4qYlmwNxaCuyc/jauo3cXX+QXldovKDNGPnx3DEDUdEEKv4B/PSooqL4DtaEXGtx/aXYo92Pio5ERbJwKpozvY7gfc4kS6QZDYx4xKQZgPpeB1c/uBezDC++43zSzf76Kddq4tqlYVEtceXW1SVc8qc98/qbgsRiNRu49YZaFhf572Xamk3bEhlxDHFg3w7GRiO3ubPTzVSXZSNrJtIMj7k51jaEN4JSbWntGpZUr5yybG6vwgMvneTwqf4Z/z2C6JG4hTlpfPrmOm66uCpE+AX+9u6uxrN8468HONU9Mh/FnFckXUuxY4NLcx16UrgNc0FJNp9YX8HagszJqw4D3wP+CAtoNoZAIBAIBAJdIkZqBQJBJAqAB4B70QiKXjnbwyd37ReCIkHc8Wo6nEzy1DMEBbNHiIrmxnkF+YHXvQ4XjZ1TD/IKFhZ3/bMBx/hsZ1mS+PUXLk5wieZGniYGpn8sNaLPYLLQQZ8d1gbNgJhvvM/5+FA3Do8z4vZGo5Ftl1+CzW47p9/1er288eo+nn/8SQb7px5Amzw4kmM+t9/WExY5KAga1bgBdTuH+X3TS4xplhWm2fj6+k1syAsdmLdEcUVwjY1N+dvattLEoJ09Iz3itiOe+IoF9dyqMGj2o76cioJ4hc3OrHjyYGfgmrEaDXykrjzBJUo+3Aq82jmQ0DKUpFsS+vtTIR6lYo/VbOADb14ZEBRFo7e7k327nokqKCrOs7GsPFRQ1DM4xtHTg2GCIoPBwJpNF04rKOodcvHzRxqEoCgGpFkMfObmOp797xt552XVIYIij1fh77tPse4Lj/L+/9mVkoIigZ9Ud9GuzErj7ktX8Kur6iYLis4CHwbWAvcjBEUCgUAgEAh0gHAqEggEk3kz8Gv8wiIARjxeftnYzPMdZxNXKsGCwqPpWDCnYMdCotGKimTREz5jarOCnUBHOoYSWBJBMtI15OS/n2rk6zeuAqCqOJP3XL6UPz07t/ipRGG3Bh8PHO7UcWswamx+fDp1zzFq6mvfuKOfikp9fzvnFVRGrM/TbGlceOVlPP/Yk3g85+ZQ09fTy7OP/otlK2tZsbYOYwRXncm37NrsEjLMaRwb7MStpM75FAltVIdbCY1TcSpefn/8JW6p2kamOQ3wuxJ9bMUqnmk7wwMtzfhUNeo92RchKk2LWQ6N7TIaDZjMUaLUfPF1KtI6NkVzJUhWjLI+489kTWybW0RTz4oRt5fXT/ezoSIXgA+uLudwr4OnTvUkuGTJxWdfOMKPLl3JJeVBZ7wXDneiKGqIO12kKixkfcjy8GWyLCFJEkZZIs1sZPXi7Bj9BfEjFUTLyYTZKPO+G1ZQUmCPvpEErS1NHGt4I+o+ry7NIiczNLqvtdtBR+9o2LYWaxprNm8nMyt3yrKd6Bjmf58/zphL1LNzQXssrtu6mK+8dz3FeaHH2eNT+OuuFu564BBukXm4INC6RKaCMHr9okw+VFfG5qJsbKaoEyTvBz4JiE4lgUAgEAgEukKIigQCwQRZwN3AbdqFB3oH+FFDE93O1IlAESQ/Xs1AjnagTBAbtJ01wqlo5hTb0gKvm4RLkSAC9+5s4aaNZawsyQLgS+9ZrztRkXY2t9eXOp35VmOwU1evHdbGKNFMI14Xx4e6qMkqivi5zKwsLrjsYnY88zzKNOKU6VAUhcb6Bs6cOk3dxvWUVSye+gOqSqE1kzxLOo2DnXSNDZ7T7yczBo2ww6eEXzteReHe4zvYXrictbmLA4NrV5SWsTQzk18dbYju8jONOMccImhSkKZoO3kjlC2WpBuDYiavjoQ5AEZJr6Ki4JnjSaF6e7644759vPy1KwPX5OWL84SoaBIK/ni4CQ63DvDBn+2K628uzrfzwp1Xx/U3YoFWTBvn6jXlkSR459U1lBeFO+1NiFQ9Hg/PPfsMTQ2vR/wOWYKVlbnYrKbAMp+icKJjmP7h8D6tzOw81my6EIs1LWydlr2N3fzzldMLKtY1FoSIiyUoK7Bz1+2buWg8MnoCRVF5dP8ZvvSH/TgXkJhIez4t1G4Zs1HThtHpMxr4XZa+smUp71hePNVmO4EvAS/PT6kEAoFAIBAIYosYqRUIBACXAgfRCIpcPh+/PNrM1/cfEoIiwbyjHfA1GcStKtZoB/mEqGjmZGlcH05HmOUqEPgUlW89fDjw3m418c33b0xgiWaPtvPfmEKiTotB37NgJx8J76RBrdaRfjpHowt2CooK2XLRtpBZ4ufCyLCD3S/s4IUnnqK3Ozj4Lk+SxUyU0ijJrMouYUV2Sdg2qcDk2Lep3LB2dDXy8OnX8GqcmyozMvnquo0UWK0RPzPdGKZZE5vm9nnDyjOf2E3Be6Xb551iy+QjxKlIR85a2uPtWkCDsbGifcDJsDN4rg659XXezhfrF2UFXj91oD3uvxc62J5kIoXwAAAgAElEQVS89w3ts5QQnJwbV25dTE1FdHcqh8PBP/7xD06daom43mI0sHZZQYigyOXxceT0QERBUWHJYjacf+mUgiJVhcdfbeUfu06J4zsHtLvs1qtqePz714UIilRVZf+JXs7/2hN85vf7FpSgCPxiqgmSuZ6LJ4vswXjLfld83TTjhc1o4FdXrp5KUNQGvBvYjhAUCQQCgUAg0DGpM1IgEAjmQhp+d6LngMBU88bBIT6z+3UebW0XBt6ChKAdjDNJ4lYVa0T82dywagZt2wbGElgSQTKzt6WPfx3qCLy/5YplFOVOPfs5mRjRDKzazFEt23WHxRi8l+hxFqx5ksDWG0Hw0DDQQb8ruuCxdHE5G7aeF9Ny9Zzt5vnHn+TVF19mZNgRNiAyeU8Xp2WxIX8JZjm1DHMn30u96tSClDMjfdzT9CL9LkdgWbrJxPmLiii1h0e+TBUjZpCkEDHMmM8z5cBUvON5ss1BYdRYnKPWYo3WqWi6Y5hMhDgVLbAB2ViRoYn+3NnWn8CSJCer8tJDYlzmW1QEydt5qb3+FB22L5KFqtJMtq8vibre4RjmkUceoa+vDyIIZ7PsZuqqczFp2nuOMQ8Np/oZdYYLBatq6li94QIMhujtEZfHx/3PHGNXQ9fs/hhBAO11bDEZsGsEX30OF+/9ycvc/MOX6B5amBMZtfsnWeu4eCIDhRlBUVFDryP6xknMV7Yu5bziEEHkfuAD+CPO3gosA/5M+KORQCAQCAQCga5YiG1WgUDgZzP+B51PTyzwKgr3H2/hi3sPcGZUDJgLEodH4x1vMgjRS6zRioqEU9HM0Q4aDEfonBYIJvjOY0dwevwD0gZZ4mef2Z7gEs2cAc1M7tw00xRb6otQUZH+Bt2XZ4dGgQxEEA+pqBzsa2XEG31gprKmmtUb1sW8fK0tp3jqkUdprG+YUgADkGmysjm/kgxTZFcePRIuKpr+HHMrXv7QvItDfa2BfSZJEkszs1ienR3ynVMJgcxycKBfVVU8ijK1qCjOwxmLrMFztcc5Et8fizEhoiId1RPa462ncicrH6orJ80ousq0fGBVWeB1S7eDxvahuP/m5FM5WQ+JNv5MGNnMDavZwE1XVEdd7xwb4cXnnsThiCw4KCuwU7M4G1kjsO0dcnL09ECY0NJgMLB6wwVU1qyaskz9wy5++egRms6kbmzrfFCaHy6UVlSVe19oZtOXHueVpoUdNWk0aGNXF14FcuvGskB716eo7O0cSHCJZs/tdWW8pbpQu+hPwDbg98D/AA8DooNdIBAIBAJBSpCkj+UCgSCOmIA7gVeA2omFpxwjfH7PG/z1ZCtigp0g0WijacwpFL+TLGj3r3AqmjnaM3FMRGMIpqC1b5SfPX888H5NVS5rq3ITWKKZc/psUARQlGmZYkt9oRWo6rHTfpMmdgbg4pLlEbfzqgpv9LbimsIhprZuFeu3bA4ZfIsFPq+PA3v38/DDD487CUTHYjCyMW8JBdaMmJYhUUy+l2aZ0sgy20g3WrAZzaTJZsyyETnC4/cLnUd4qu0QikaIVJhmY31ePjbjuIPCFOes1sUqMOM9gU5FhWlBUVGrQ1+OLwZZn05F2vgzj09/9Vsy8Prp4Lm6tiCT/7lsFUbRRg6wVePAMB8uRRDuVJRKkayCUG6+oppMuzniOo/bzRt7X8I5Fi6mloAVFTmUFKSHiCvPdDtobh8KO4csljQ2nH8ZhSWLmYqWrmF+/s8jnB1wzv6PEQD+SRVfeMcastNDnyXODjq57jvPcuffDyaoZMmFSSsqWoAdsbdtLA+83t0xwLBbH22vmhwbH1+3mLu2LeOja0Lqkz3AbYCoPAQCgUAgEKQkqeU7LxAIpmMlcD+wYWKBoqr841Qb9ze36DIORJCaaGf4G0X8WczRioqEU9HMsMpySGd1r8OdwNII9MBvXjzBLVsrKMy0IkkS/+9jW7nqi48nuljTUn+yN/C6PCsNoyyF1Bl6RTvQrsd670h/6Oz8Nbll1GYVcWSgg11dx3EqQaGj0+fh9d5WNuVXYJQjR9gtra0htyCfPTt2MjwYO8cJFeju7ubBBx9k3bp1WJYsCrVx0CBLEnU5ZRwZ6KBjTH8zk7UYJomF3lyxMeq2o14X9x7fEeIo0zTUSbdzmHdVbQ0cM7vJxPq8fI4PT+2SoI2JDQjmphAhSRFiY2KFzWgizRh0ODsxPLW4LNkwaPdlhIjBZEV7REX80tx4509f5qkvXkZlgV8Ut7kom2srC/jnibMJLlniKc+wkmkOdh0+9UZiREVlGVYGXd6A22C0mkz7Ke3lMPFawf/5icfNkXOMDNT+ng6bFwnn8vPKWb4kJ+I6VVU5fGA3I44hMiy2wHIJf9Ni9dJ8rJqoXp+icLJjmL7hcMfGjKwc1mzajjXNFrZOy/5jPfxj16kFKfCIFTnpZn78yW1csCro3uJTFP6x9wyfv/+1BJZMkEyUZlqpzA1ej480J3/MoCzBB1eX8cn1SzCGP9+MAm8D9JX9KxAIBAKBQDALhKhIIFgYyMBngO8AgalCnaNj3H24icMD8bcvFwhmg7YTzxRlMFIwd0JEW2L/zoglGaHRQ90ROqsFCwezQWZ7TT7ZNjMmg4xBljAZJAyyhNEgY5IlJEnihaNneed5/tmLVSWZrKvO443jvdN8e2LZffQsqqoiSRImg0x5dhon+8Jnh+sNbeSZHkVFuzr7+fruRr6yqZo0o38AzWwwsjavnFU5pfzy6PO4NX/jiNfFgb4zrM8rR44izs3Jy+XyG67l0Guv03y0KSblnNi1iqKwf/9+Rhskzr/0Imz26IN4K7KLAXQtLJpJ3NkENqOF2swS6gfOhCzvd4+wv/cUq7JLsZv8zXWDLLM8K4fGzCxakVAiuAyZQ2a5K+P/RhfExPP8zzWnBV6rqkq/W191h3bfzOaYJhqt6FkMhM8NrwJXfP85dn/9Kgoy/dGM711RIkRFwAdXlQXOsbODTl5vmR+x4ORL8LF3bIrL74y4vVz9l310jc5twoAOzQ+ThoriDC7eWBp1/ZlTx+jt7gBC97MkQd3SfCwaQdGo08Px9iGcEZxOFhWXs3LdFgyG6F3gqgpP7jvDy/Wdc/hLBBPUlGXxq89up7wg+Ozs8vj4xD17eE7sW4GGz26vCtxb+p0enj6V3FF4GWYD37lwOZcuzou0WgE+DLTNb6kEAoFAIBAI5hchKhIIUp8l+LOcL9Yu/NeZDn7bdJIxn35m4QoWDh5Nr6Gwuo89Lp9WtCX270xYlpkZeN015MTt089goyD2/Ofb6nj75vJpt9MO7kqSxLdvP4/rv/xEPIt2zjhGvfgUFeN4XFhVri01REU+7X1Ff6IigCdbuznQO8Rn11VxSWmwQ9soy1RnFtIw0BGy/YB7lEP9bazNjX6uGo1G1m/ZTFFpCftf2cPYaGyP9UBvH8899i/Ov/Qi8gryo263IrsYFZXOsaldeZIVt+Jlf08La3LLo7pDael2DkdZo3LScZYCayaLrJmBwZYcs5my9HQ6RkdCBHIAJs3vuccju6IJyYCIwqRYkWsNisc8OnL6mUAOcX3ST/m17lNCVDR3FAW+8eAhfn7bZgBW5mWQbTEy4FrYkbcXlwXjW3c3dc+biMbpmZ9r0G42cltdKd979eScPi+uuLlhMRu4+YrqqO5OjuFBjjcGI7K0+9lsCr3PDo64Od42GLH+q1y2isqa1SHiy8m4vQp/eaGZxlZ9tkGShYvqivjxHdvISAs6Frb1jvCW//eCcPkVhLFtSfDe8mRLN+4kjm+1mwz89uo1rMhLj7T6aeAbwO75LZVAIBAIBALB/CNERQJB6iIBHwB+BASefPpcbn7S0MS+nv6EFUwgmA5tJIhRh44SyY529r0eHTsSwZJ0e+B1S89IAksiSAa2VOVOvxFgmCReqV2czYV1hbx8KH727uuX5ZGZZsKngNen4FVUfIqC4lPxKiqq6q9jFUUN/OdTVBRVZUlhBu+/ZjmqZsRwWZ6NZ4/HrbjzhvZIJG+X9fR0jrr44q4jrMxJ5/dXrAssj/Y39TgdHOhrpS6ndEqhSXFZKVe9+XrqXz9wTq5Fk28pKuAcG+PFJ59h0wVbWVy1JOpnV2aX4FV89LgcUbdJZnZ0NbGjq2k8lkVGliRkSUJCoiqjgCtLVwOgqApdzsgDlxbZ/3je7Rxi2OOkMr0AgyzjdDqxGgwstqfT7RxjyBNMVjBpdrrb5xc/yIbowqbJkUKxJFcTTzPm01/6g6x1KlL0KR6Op2hsIfCvQx0oioo8fv9ekZvOKx36dVGLBVmWoEBAKxaINyMuL/e/2Mx7tleFtadiiaqqPHsqNi6S4rFq5tywvZLsDEvEdV6Pm/rXd6HMYALcgMPFsbahkLYrgCwbWLH2PIpKK6b+/IibPzx9jM7+sZkXXhDGTdsr+c7tmzGOuyeqqsrzh7v40C9eSXDJBMlKvt0ceP1Ke/LeZ02yxHe210wWFD0KvA9/1Jk+H1wEAoFAIBAI5oAQFQkEqUkR8CvgRu3Clzu7+dnR4wx7FvZsS0Hy41X17yiRzGhnccqI/TsTKtKDnUjNZ0W/0UJHO9tZVVWGPR5U/IP1iqqSZjRiM0ZuZt/7pcsYcXpwexRUVUVR/ZFFrzV2c8dPdp1TuZ7+r+upKs6cfsNZcG1tIb949XRMvzMRTDgvQXxFFfNFQ7+DEY8Xu8l/nnmmGHjrcTp4recUa/PKMcvRH/9MZjPrt2xmcVUl+195lcH+uXTwR76nKD4fe3bsZHhwkFXr10b99MqcUvZ0n8CpQ0HKBCrgUxW0E64NGkHXhPBnMgZJxqBxD3T63BwdbKcqo4CREb+Y1SDLFNns2N1uzjrHkJGQQz7jPw8sVmvU8k12OoolOZr4syG3M26/Ey9CHH905FQkiC0ur480s7+uzDCLLjOPogRiFofG5tdt5Jt/PcC3HzyE2SgjSf6YWYMkoY6L5ybfzrWiHu31HFg+/u/9n7yQ5aVZAHSMuNjXeQ5x8CnQpphvVlXlsm55dPfChoN7GHGEHpPJoiGA4TE3xyMIiqxpNlZv2EZWTsSYogCnzzr407PHcThF/9i5cNtVNXz91g2B96qq8pMnjnL340cTWCpBsqPt52sZSk5RX47FxP9csZI1BSHP13cDn8MfeSYQCAQCgUCwoBA9JAJB6nET8Esg0IPi8Hj4+dFmXursTlypBIJZEOpUJOK5Yo1P0/Eqiym1M6LAGpxJe7hdWOMvdCzGYL30fEc79x0PtfIps9m4a+OmqFELdqsJ+6Qx/+u2VnDR2hIaWwcC7kEh//nGHYcU1e80NO48pKjg9foYGvXEXFAEsK4kix+/eTWooOJ3OlJh/N/goJ4KEbZRNdv6N1DU4Ge138WUnwsOJk38jhKhLGrE7/Z/17XLFwX+pmyLiffUlDLg8vBMazduncYFTQzywvRRU0MeJ6+ePcGK7BLyrRGt+wPkFeRz+Q3X0nT4CA0HDs3IKWCC8DM+dN8eOViP1+tj7eYNYVuC/55fl1PGvp6WwPmVCmjrgmhOMlZDuAOIikrz8Fk6B3qRVDXwPRlmMzajEfekYyNLfpekzIx0LAajfx9qriOfqmCQZKwGCUVVA9dK4PU5/p1WQ7B7YcSrv6gTbZWtdXVMdrTiCaFvOHdMmrp12C3EBtqo5P0n++b9991eBbc3dtfj4nw7yzTtpXsOnInZdwumJ8Nu4s2XVEVd33a6me6utmm/x+NTaG4bChOK5xYUsWr9+ZjNkV2QJnijuZeHd7bgTeLIJT3w4etq+dK7g86ZPkXlc/fu5ZHXpj+GglCx3FQRfamGdVwoOsFIhHutQYK6/AxODo0xmIAYUpvRwC+vWs3KUIeip4DPIwRFAoFAIBAIFihCVCQQpA7ZwE+A92oXvtbTx48bjtHn0l/HvmDh4tUM8Aqnotjj0wyUid07PUYZrJoomYa2c5jNLEgJmjqHWZTpVwVtzC8IExWdGR3lwZaTXFxcgoR/QD9/CueQCdLTTGysKYhZOX2qGpOIwzevLIpBaZKHRWkWPrO2EoBVuen8v9dPJLhEs0cidKDXo0zf2e5WfBzoa6XUlk1NVuGUcWiyLFNbt4ryJRXUv36A1pMtMy7XdBxrOIIsy9RtXBdxfYbJSrk9l9MjsYmjSQa0TkXRRB/RXKRUVaVzoAeTZCDXkh5wMzLIMmly6DEstfudN1YWlVOXG/m63ZBfOmVZJxzXVCb+9ZfBp6ooqjL+r4pPVVBUFa+qMOAeo31kmKWZwWjI6YRuyYhWnKPoRFQkIYU4XA2M6NflKxnItBpDorY6R1wJLE3i+fGlK0MErHuO9SSwNLHh829aFYi3c/sU7qtvT3CJFhY3XV5NmjXy/W50ZJhjR96IuM5gCL3fneocDhObFZVWsGLtlhAHv0g8/VobLx7smEWpBZH4yPW1/Pu7gm05r0/hvT95mT3HU6f9Fm+08xoWUrdMWMTspOfVisw0vn/RclblZzDo8nDV3/cy4pm/dmWm2chPL185WVD0G+DTgP4auAKBQCAQCAQxQoiKBILU4Ergd0BglMDp83FP0wn+daYzcaUSCOaINv4sFgPiglC0EzKFU9H0rM3JDcyk8/oUjnQIUdFC59cvneDCcfFPltnMefn57OkJHWj7Z2sr/2xtDby/Y+VKNuYHBUO/ajjFoMvDF9ZXx7x8XkXlmkd3M+oN9nn6078kZMk/CO3/1z8r1v+v/71XUbGZDPzzui0xL1cyUpsztWtPsmKapAh1z0LA0TY6QL9rlFW5JWSa0qbc1p6RzpaLtlG9YjmH9u2n5+x0rpeh0YDRaKw/jCxLUaPQlmTk0zk2MKu/K5kxyUFhqjdKrJbFEPnR3DnmRFVV3KqXzrEBcs3pWI2mKWe02+32OZdVlqRZtw3K7FmszgkVMcUzZi1eaP9qvcQk+t2mgi5WFpNw+DwXrlpdHNiXLp/C6eHkjGSZD25dUcIlZUGh4LGOIZp03ga+ZFUhN2wsC7x/qKkrgaVZeGxdU8TSsqyI6xRF4fCBV/FFiQj1aAREHp9C33Co4C+/sHRaQZHHq/C3l07QcGou8a4CLR+4piZEUOTxKrzjv1/iwKn+BJZKf2g9IhdSt8xk8zlNSjVvrS7ky1uWYjP5285ZFhObCrN48cz8OOVVZaVx96Urqcq2aRffDXyWyRasAoFAIBAIBAsMISoSCPSNHfge8AntwoaBQe6ub6JjzJmYUgkE50iIDXQCy5GqaEVbstjD07I8KxiR0NIzgiuGEQwCffJSUzf1bYOsLvUPjLyzammYqGgyv2tqYn1efmCw3mKQeehkJ0+f6ebGJUWU2CzIkoRBkjDIEvK48McwPsAf/bWESZawGGRU/LPuH2npChEUwYSYUA38OxVjPoURjxe7yf+o0Nw/QueoC4lQARIERUkElge3mbyM8c/JIZ+J8PmJzxL67+Tt5fEvnbo8QWxGA0aDf5+lGf0d1TpNPgtxKQJwz8CpSMuoz83e7hYW23OpyiwIcdKJRF5BPpdcexVtp1s5uPc1RhwjEbfT7u/pwrSOHKwnKzeHsorFYeuMkkxVxiKODqaGk4DWhShsdvY4lgjxZwBjo6Mh7/vcDgweGbvRgt1kDREATbSfbDZbiNAkEbijDAzrBT3F73kUL+bx86e6MIPdzcIlYq68eWPQyauhd5iFmoy0LNvG5zZVBeqQ9v5R/u3Xu3Udr1eeZ+O3H98WsszlVfjceUsY9fhw+1ScXh8un4LTp+D0+HD5VMa8PjyK36HNo6h4fH7HNo/P7+CWZRHdqjOhICeNq8+viLq+pbmBoYEp6q4p+gesaTZWrZtaUDQ06uH+Z47R0TsadRvBzHj3pUv52i3BGFuPV+GmH7xAfauICJ8taohT0cLql9G2U2VJItNs5BvnV3NNZbhrr91kCFsWayqz0vjEugquWpI/WVz/a+BzCEGRQCAQCAQCgRAVCQQ6ZitwH7BsYoFHUfhj8ykeajkjAp4FqcPC6luZF3yKiD+bDUVpQSePM/0Ld8a6IJSfPXecn926EYBci4VV2TkcHog+O9fh9XKor4+1eXkA3FRVzB8az+Dw+PjfY23zUubZcNoxxoqcDABe6xrimzuPJbhEsePObdW8o7YEmNpNJ5mxTIoBmauA4/RIH2edw9RmFZFnnd61qXRxOYuKi2h44yDHGo6GbzBLEcv+V/ZQWFyEyWwOW1diy+bMSB8Or/7jh8wap6JoUXWWKPFnk0VF4I8xHfKMYTcFYxW7xxyM+fzRVy3uIUZ7g/XKhFjvjKOf5uFeZEnWCBPlcUGj7BcsIiPLEjJyiHjRIMsYJRmTbMAgSRhlAwZJxmIwUpiWQb7FjsVgRJIkVFXlcL++3VL14lQE0OMapsTmd5S5aXM5f9jVktgC6RSzUeb86vzA+7UFmdxzZV0gAlBlfERRHXeIwj8g7F+uzkhwM7mKnDyIbJQkLEY54Co4IY7VCmbHixAs03h5CJQluGyifKGCYCliVa0t/6aioJuMy+PjY7/czYkux/R/YBJz5zvDIzffVzd1HORsMRmFU1gkDLLE269chtEQuY0wONBLy/GGKb8jVHwRysp1WzGawtsRE5zqcvDnF5oZHhXxkOfKDVsX8x+3bQq89/oUbv7hi0JQNEfUqU7sBcR5RVl8bO1iitMjx4Wnm+MnKirPsPKJdRVcW1kQEn86zp3j/+mnUSgQCAQCgUAQR4SoSCDQH2bgG8CXgUCv1clhBz+sb6TFIWZeCfSPeGKPL14RfzYrsjWD3WeHhQOcwM+T9R00n3WwdFE6kiTx3upqvrxv75Sf+d2xJv47dyuSJJFuMnLz0mLubTwzTyWeHaeHg6KiZTm2abbWF1r3Fr26UGSYg49xqqrinKVTkRanz8Mbfa0UWjOpySrEHCWGawKTycTazRspW1LBa7t2MzQQHEgKuaPMYN+6XS4aDtSzdvOGiOvL0/M4MtA+g78iuTFq48+iRLpFcypyjkYWs0qE7m+tA1KaLfSanRAXDHpcOLzumRV6DqQbzazJLeX0SB9dzuG4/c58EO04JSOnhrsCoqI15dnk2s30jcTvOKcq93/0fAwapxNZkjivODuBJUoOvv3AIepb9R8XlZduiftv2KyR6/GFzmXnlVOcH7kt6fV6OPzG7mlF3gqRxRdLqleSk7co6ud2Hu7iX3tbde2ylSxcuLqI//roVuRx4YVPUbnlxy9z6LT+64dEoQhNEQB3bqsJeT845sFokLCPP+9MOMzGkvw0Ex9Zs5i31xRhMoQJQhuBrwAPxvyHBQKBQCAQCHSMmEYjEOiL1cCrwFcZv359qsrfTrby2VffEIIiQcrg0/T6GYXoJeaEOhWJ/TsdVkOwE8vh1HeciyB2KCr8/PnjgfdFaWlUZWRM+ZkBt5umwaAA453VpWGOM8nC/2fvvOPbOuv9/z5HW5b33nHixNl7Nk3T3dLSRVtKuRco0AsXKBvaey/0x16FC71sStnQslqgbLrooGmSZg8309uO95Q1zzm/PyRLR7bk2I5t6djP+/VSIp2lr2Sd54zn83w+DUNRIUNJglGjRkV/XDFSxJEe0wy03e3eAXZ1nKHJ3TMhB6fc/DyuvOE6Fi6pjkwb7aQxEU6/eoLBgYG48wodGVjkmY88mGn08XJBLVH8WSKnoviiIotsjhHIBbWoCMauc9jT453hSLKhoJ+XOupodhvPscCMPEpwaBzf19MDbZEIRFmS+NTrViW5IuOxYUE2m6pykl1GyvHHV5r4+Qtnk13GtPCRn73CL/9Vx/PH23mhtp09p7s4WN9DbXMfZ9sHaexy09broWvAS/+wn2FfEP8kI4+9PnGdMJrK4nR2rCtJOP/0q4fwDE/ABSvOSUVeQQkLaxK3d88fOcdf9whB0XSwqiqbb71ve8SNS1U13vG9XewVcZsXhDZOrN98RNM0nj3TxfqvP8eQL3peO53ukU6zifeuq+TPr9vIG5eVjBYUnQDuBJYjBEUCgUAgEAgEYxBORQKBMTABHwQ+R8ipCIDWYQ8PHj1JbX/8jhiBwKj4lOgNXLOcmh3uRkYv2pLF7avzohd9DPuN41wgmHn+cKCFD169hNJsJ5Ik8ZbqxXziwP5x1/nByRN8adNmJEkiy2bh2ooC/lCXejFBjYNRIUPWHBt5L8cIB4zZ0zRT0ZVBTeVkfzvNQ71UZxaQbx9fKCfLMuu3bSEjO4tDe/YxlS4RTVU5/MoBtl++c+z2kSh2ZNLo7pn0dlMJvagokVglkVNRvPgzIMZRKqgqkf5Ws9kcN04OwKeI6JdE2M2xt0b0Iq1Ux68GONnXwsqcSgCuW1PCj144y/76xJGcglhyXLYYUdlLJzpo7fWEYsjC0WOSLpIMwtNHxZNN5IgyWrSpf6WqGt6AgqJGo8s0Lfw8HHcWeT9p9PPw/+HnSETqj2wj/Iaj49r0OlWTLJFms9DYNcSDf66d8HeY6pxqG+R/HjkwpXUlKSTmleWROEgJWQJZlnjrZdW877plAPgDxhEjzgY2q4nbrqxOmIza2d5CS+OZCW1rdEqUzeZg+dotMfutnvr2QZ7cl5puoEZjUUkGP/zopbgcofMUTdO49+f7ePZYe5IrMz5qgnZ4PhJQVO77Sy2PHW0DYr+P6bhcc1lM3LqkiLtWlJHvHHOe3EjImeiXgHFOAAUCgUAgEAhmGSEqEghSnyrgJ8AO/cS/NLXxo1Nn8SrixpVg7uHTRU5Y5vvdlRnAp3Mqmgm3i7mGRSdsc4sRyAIdQVXjoefO8qmbVwJQ4XJR7HDQ5onvLALQ4fXS7HZT7nIBcMeiktQUFemciqyyhFmGSQ7YT1lMOkWOQTVFoQ7jGWRY8XO4p5ksq5PFmQVkWOI734xQvbSG9PQMjvxr95Ter62pmYH+fjIyM8fMy7WnG15UpBdIx3MqkpCwJnBkSiQqskh6UVHi6DM9M8MpXEcAACAASURBVO1UZGRGO2KpBnIqAjjWW09NVikW2YwsSTzynxdxzZefpaFbONlOhKePn0NVtUisT5/bz70/25fkqgSpgqZBUNNiFQBhhsW1QUJeu6OKrPT4sXN+n5faI+PHBo/H8rVbsFjjb9sXUPjt83WGPcdLJUpynfzkvkvJCf8dNU3ja3+u5fE9TUmuzPhYzTLrdQ55M31un2oM+oJkhAeu1PUMc/vPX6FTF906FffTeDjNJm5bUsS711bgso7pBusBPgU8BIice4FAIBAIBILzIOwfBILURQLuBg6jExR1+3x8Yv9RvvPqaSEoEsxZvMKpaEbxBKOiLfNM2V3MIRw6N4gBr3B5EMTyqz2NdA36gJAbwNuW1Jx3nUfOnI44FSzIcLKpIGtGa5wKTTpRkSRJrC0YK/YwKiZds2dUp6LZarv7/MPs7aznRP+588ZBFZYWc+W112CNuORM7rttOF0Xd3qW1Wl4AWyMU5E6dgB0ougzgGF3fFFIjFBJt00hKpoao50bjdY0DAW9vNR+PPLaZjHx149cxsL8tCRWZRxUFZ6tjbpuXLe+jLULspNYkcCQGPtQNa2sWJjD2pq8hPNrj+wl4PdNeHv6uNqVK1eRk1+UcNnfvVhP35A/4XzBxMjNsPHT+y6lOCd0XqFpGj957gzf/NuJJFdmfKqL0nnswzu5aVN5ZJo7ML8Mcu769UFebuzlgX+e4tLvvRQjKBrNVM7JHGaZd6+t4JnXb+bezQtHC4q8wGeBBcDXEYIigUAgEAgEggkhemoFgtSkCPgj8H3ANTLxuXMd3PPSfvZ3Cyt7wdzGp0RvqBi9IzEVGVb0oiJ5xmJ05gI5VitOc9S94GynO4nVCFIRX1DlRy9GxRCLMjLOu05tfz8DgahA7c7FpTNS24XgU1TODUfvr24qOv/nMgr6+LM4pgOGwKz7DLPxEZrdvezqOEO3d2jc5XLz87j++uuxWq2TrutcS2vc6RKQbTW2MMIsRY8j/jiiIqucWFTkGY7vfKYXKgV0gi9HWnxRkU8NxnTKCkYx6lzIiN/V6YE2DnRFo4Qc1pCw6O07FyaxKuPwjh/vIaAb2LB9aUESqxEYBeO1FDNPepqFmy5N3O60NJ6hqyP+MT8h4S86OzubLVs2J1zsucNtHBXRjxeMy2Hhhx/dSVVx9Pz/j/ua+fRvjySxqrnB7VsreeLey1hRHh1U4ldUPvKnY0msavbZ19LPHb/Yx7d2NcSdHxN/NomW1mGWed+6Sp66fTPvXls5Wkw0CHyFUCLA/eHXAoFAIBAIBIIJIkRFAkHqkQnsAq4fmTAYCPDA4Vf5ypETDAXFCGPB3MeniHiumWQoENuOWIQbVFxcZjOf37gOKfwb9AUVjrcOJLkqQSrSOzz50dB/a47GBmwtzGZRRmJ3kWTRMBgVMyzPTU9iJdOL3uVHOBVNHJ8S5GBPE6/2tUWctkYjIZGfn8+mTZsmvf3+3t6EApocmyvudKOgdxUKxBEV2U2WuOsFAgGCgfgOeZLu/Egff2Z32OMu7xMuReMiz5Hzzf3dpznSExW6Ws0yH79xJa9+8Xq+85aNlGTF/30IYHFhekzbOt+iaAQXjvjFhLj1imoc9vhi2WH3IKdqD056mxogyzKXX345Fkv8Y2ZjxxBP7W+Z9LYFsdgsJh760A5WLohGc73wajsf+PErSaxqblCS7eALb1yH3RoVm5/oHGLT159nd1NfEitLRSbXosoS3Lq4kCdu3sA71lSQaYtpJ/qArwHVwEeB1MseFwgEAoFAIDAAiYdECgSCZLGIkAUrAKf6B/nsoeP0+IR9s2D+4NN1jgkXnenHPUqcaJVNMUKu+Y5Zhn+rWsjVZSUxgqtvPXOaAY+IPxPEYrfIvPuy6sjrdk98UcRo/trczM2VC7CZQjeVX19dwhf2n56RGqdK46CHLYWh+JcFmY4kVzN96MWqRhUV2XUOaokEPjNFy3Af7qCf1TllWGRTzLyRb3bZsmUcOnqYdk//pLbd3trGguqx7gbpVmMLIWKdisaKexLFn3mG40efSaPkDhOJPxPRZ+Ojd34CUA3aNgDs6TyJXwmyIX9xZJrNYuLa1SVcs6oYty/IqfZB9tf3cqChl91nuuiax1FBdrPM529fw43ryyJivaCi8uf9zUmuTGAEDNxUzAhbVxexqCx+ZK6qqhw7tBtlCscjTdXYuHEjubm5QOg4qHcv8QdVfvt8nfh7XCBmk8TX77mILTqntqONfbzlmy8lsaq5gzegEFBUbLrz56sffjmJFaUOq4rSuWpxPjsX5lKdm4bLFj03Pt9ufVVlHu9cU87SnDGDENzAN4AvAGJ0mEAgEAgEAsEFIkRFAkHqcQxoBwoBXmzvEoIiwbxDP+JemiMjx1MJbzBWQGQW3zEA2VYr711ew7KsrDEOWS+e6uRbT59KUmWCVOZ9Vy6hLCfUia9pGo+eOXOeNaL8q/0cl5eEos+uKsvnm0fqGQykTsd/41BUIJXnsCaxkunFFBN/ZszeJ4cpKoBQkxC+0ucfZm9nHetyK3CYo7+NkWO2LMusWbuWE63xIw0S0dXRGV9UZDa2qMiUwFVoBKsc33XB444vUrSaTJHvWtM0gvr4s4SiIiGKHQ+rHCvUM2L8mZ6DPWc55+llbe5CStPyItMlScJlt7CuMod1lVEXClXVcPuCNHa72XW6i9/saeJk+9xPBdm5tIDvvGUjjth4FB566hR1HePHPQoEglgKchxcs60y4fz6M8cZ6Oue0razcvJZs2ZN5LUkxQq6/ry7kZ5B35S2LQghSfDFuzdz5fpoLHN9xxA3f+XZJFY1t+gZ8vOVPx7nY69bFZn2to3l/PCVpnHWmttsLM3kw5cs4iKdM9ZoNA2sJok8h5UCh5UchxWXxUSh08alFTmsyR8T0x0EHgg/JjfCQSAQCAQCgUCQECEqEghSDx/wMPAxgJXZGTw+uf4YgcDw6J0jhNxl+vGO6tBMRoxOqrE+N4ePrFweE1EDoU627z9/lq/+/QSqsfsXBTNAUaaduy+JCiDODAxwuLdnwuv/+uxZLi0uQZYk7GYTr6ko4NdnWmei1CnRrBM0uKxz57LBpI8/M+iOrXdRm22nohE8SoB93Q1syluALRzfpY+QKi0rG9vrdx76uuPvP7Ik4TRbGQ4aU2ivF37FO+ZO1qlIL0IKarGyMuFUNDUscvRvoGhzw73xnKeXvzXvI8PipCarjCUZpdjN8QWisiyR7rCwoiyLFWVZ3H1pNV6/wuHmXr755EleONk1y9XPPMtLMvjh3Vti2i1fQOELvzvCT587m8TKBIZlHl9SWc0yb7hmCWZT/C+hv6+b+tPHp7Rtk9nMqvVbYwcbSUTsS2ob+9g3B9uo2ebj/7aOWy6uirxu7/dw7eefJo4WWnAB/OCZ09x16SJKw4NS1pSMEcTMCzaWZXLfpdVsLs8+77L3b6vm/m3V510uzC8I3U8Xd9IFAoFAIBAIppm50zsgEMwtDo08ybHZklmHQJAUUsU4wiRJWGQJGQlJgoCq4de7KAFWk4zDZMJukjFLMq0ejyHEJ5qmRW7MjnblmW+sys7kvlUrYm5UBxWVPx1u4/vPneF4q3DKFsQnP92GRecY863ayXWWeFWVswMDVGeGYiJurCpMLVHRkDfy3CSByyoz5Dd+z4K+v8sI7XU89LqUZH4EnxLk1EAHK7NDo9r1oVxWq5Wc3Fx6uibe0dff14eqqsijBJ4A6RbHBYmKJCQKHRnI4Zgr/ZFP1TSCmkJQVQhqKgE19FzVtGlxgvLpBD0ZlrGin8mKiiy6OLXRzkf2BKIin3AqGhe9UM+oDmaJGAgMs7fzJK90niLXnkGhI4siRzaZVifpFifmUTGGI9itJjYvzOOn78yjrnOIO7/9Eu0D3rjLGpGPXLcsRlD0210NPPiX47T2TCzGVCAADO9qNl1cf0kV+dnxo3KDwQDHDr48ZRF0zfL1OBxjYo0AcHuD/P5f9VPariDKPTev4K5raiKv+91+rvrMU/iDxj/vTzVMskSOKyrw3d8yf4x0JODmlUW8b3sVC3PS4i2yC/gDcBewdJKb/yPwCeDAhdQoEAgEAoFAIEiMEBUJBKlJxLdZOIgIkolZkjDLEiZJxiJLmCQJsyxHppvDr01S7PPII7yOHJ4/evrIPBkiz02yRE1GeqQGCbiruhK7OSTcsYc78FUt1OmjEXI2kgCzLGORJCyyjFkO/W+RJczh+kdq12toRu5tjtzitMoSdpMJu8mE1TS2U/N8nB4Y4r0vHzRUR7VZmvznnCs4zWb+a/WqGEHRd589zQ9frKNTWOjPacyyxNt2VFGV5woJBzQNLdyuRNqXkedq6H9Ni+06ynTERhYty8ripY6OSdXxWH0d961ZC8DCjDRW5qRztCc1ImfODXsJqipmWUaSJDYWZvHPpok7MaUq+k5kxaDiATlGDJrcz9DhGUTNUpElOaYuDcgtyJ+UqEhTVQb6+snKGTtqOW2Uw0pFWi47ipbgMFlRCe+v4f81wvts+LUE5DumPhI80h6ghdsINSI4UkaeaypBVcWvBkMPJcjICYc+Ii6ekNeWKP4sgajIpBPABFUl8lySJOyO+FFxwqlofCw6YY06R5yKRqOh0eXtp8vbz7He6AD+NLOdDIuTLJuLQkcWhY4sXJZYcUBVvovnP3Ylt379BY7OkQ7QFaWZMa//+5H9hnWvEwiSyarqXNYvzU84/1TtQTzDU4sTLCgup7isKuH8x16ow+0Vx7cL4U1XLuaDt0bjuIZ9Qa7+3FMMie91RshwWGIiN2vnQdQowJK8NL503TLWl2bFm/088FngyfDr3wH7gXjKo26gjVCsWRdwjJAQac901ywQCAQCgUAgiEWIigSC1CTSG+AXXsMpiVmSqEpPiwhhJEIdfFJYICNHRDcjopawoEU3TR4R0ejWCT3C20LCFH5uGvUYQYPIe49ZTg5ta+S1VZbxKSppFvOY7Zll/fPUEphIksSdi8qTXcaEqc5wUZnmpG4ofkdgKhKco51nE+E/axbHuBN88NED/P5ASxIrEswGVpPMB65ewrsum7CN+oSoyZy8qKi2vx93IECaJSQquLmqKGVERYoGrW4fFemhzuW1BRlzQlSkP47OBVFRsj+Chkaf30OOLQ29/4+GRnZuzqS3l0hU5DTHunfuLK4hxxbfuWC6kSUJJIn4fi6TI54LTiKnIu9wfFcYk04MrD+G2x2O2HgY/baConNwPPSiorkSfzZR3EEv7qCXNk8PtX2NAGRa0yhPy6cms5Ss8H5mNcv86j3b2f7ZJ+kbNr7zVV3nEAUZURHen//nCj7xq4PsPiVilASCiZKRZuXGnQsTzu9sb6a1aWpxgja7g5oVGxLO33Oik5PNc0PkmCxu2FbJJ98S/Y79QYUbvvgMnQNicM1M0ev209ozTEk4/uyTVy/luh/uTnJVM4fNJHPnulLu21mN0zrmTPo54JPAP0dNPwksAO4H2sPLNQAdgDGzkAUCgUAgEAjmAEJUJBCkJpHeBuFTlHpkWMx8c9sGsm3W8y+cYqiaNsrdQDATmAzmMDZfB2XLwKb8vMjrn71ULwRF84DLlxXwv3esJcs5vW24pmkc7Z2a4OZf7e1cXVYGwM6SXL504DSBFNkxm92eiKhocXb8WCWjoW+jjRpzpI9wS4XolYGwqGj00S8rJ+5o5HEZ7I/fQah3KrKZzBckKBrrRBMNbkskypku6oc6Y15bJFPCc7NETkX65bNtTjKtdjQN8gsKWJFdFHZsIurehEaW1U5AU/EEA+zpbKTTOzXXiLmKOSb+bH6JiuLR73fT73dzrLeB9XmLWJu7CACnzcxv7rmYqx54NskVXjh3/3APez9xDfZwJ+eS4gwe/cAl/OiZ03zu8cPz9vxYIJgMt1y+CLstvuTWMzzE8cNTNw9ZtmozVqst7ryeQR9/29M05W0L4NI1xXz5HVsir4OKyh1fe4G6TncSq5of/PyFOu69aQUAKwrT+eprl/OhP00uRtsIbK/M5vOvWcaCsdeQvwH+GzgzzupdwPtnqjaBQCAQCAQCweQRoiKBIDWJ2BwUOxzYTTJeRdzcThW2FuQZUlAEo+NSpo6m64TVRh7hWCAtHDei6v/XNFR0sUJoqGpo+ZGYISUcP6SEt5Nrs+I0m3AHg7gDCj5VxRNU8SmhmA+9K9RI/7Bf1QioKgFVxa+qBBQNv6riU1T8qoZPUQioWqSzaKTjUCK0LSTwBBWGAkEG/EH6AkEG/QGCWqjedKsFx6hItIFAkF5fgD9du2XGOyJninhRLPOBq0qKI589oKh885lTSa5IMBu85aIFcQVFZwYGkAi1C6H/QWYkLlHnSEdU+atoKj0+Hx0eLy91tHN2cGoOQ080NnBVaSmSJJFmMbM+L5PdHX1T2tZ00zIUdUqpzHCMs6Rx0Os+jepUpBdGpcInGAqERrTHxIsCrowMJFlGm4Tz5uBA/P1IHyFWYI+NMnuurRYp7LgoIevcH6XwfiwhIzMQ8HC4p4HxqpGRsZvN2GULJlnGJEUfMiNRryZMsoxZkjHLJrYXLoms3zjUhaKqWE1mrLI5ElWmanBm4Bx1Q7EuKNYELkUAw3FERVKcIQeyJIMEmenpCbeXbok6shQ7M3j4xMtxl6t0ZeMMf9eRc7sRkRJazDkfCabH/q9FRU66/2VJwmW2IUngVxT8ahBf+H+/omA3WzAhRURzKjAcnLnB6WZJ51SUEntVaqChsa/rNFbZwvLsCgCqC9O5c2sFj77cmOTqLowhb5Drv/pPfnD3Fipz0yLn8W+9vJqSHAfv/9Fe/EFxDS6YOPHa57nM+mX5VJdnxp2nqipHD75MMDA1V7PyBYvJzS/STYltlx97vk7snxfAhiV5fOt927GYw+coqsbbv7uLQw29Sa5sfvCz589y+7ZKqgpCAvlbV5VwSVUun3vmFL87di7J1U0Pd6wu4YHrl4+e7AHuBh6Z/YoEAoFAIBAIBBeKEBUJBKnJfmAYcKZZzHx4ZQ3fOH6agSnekBFMLzk6QdGIWAaNaOdKeF5ETKNpKDrhTOi5GpmmjYhsRgQ3uv81IKiOrBd+hMU4+luWiqYRDM8LahpBNfzQVIKqxpbCLKoy0iLLfvtYXVh4o+FXFALqSIdOSIwz0sfqUUIiHq8SEuZ4lSD+eXzvrt2buDNr9N/ESMxXUdGlxYWR5y+f6aZD2LzPC5y22NPfoKry1SNHON6fPBHPUDBIv99Pli00GvuSktyUERU1DHkizwvS4o8WNxp6ga1RnShiolBTQBg1GIwf0yXLMq50F4P9AxPe1lACUZGMhN1kwasEYqLQ/EqQw73T51agojIc9DM8wXQFsxQrKnr+3Al6/RMf5W8zWeLXoar4PGO/V6vJnFDEnJaWNqH3dFni78vbChZwWcniCW0jGST6reul7lp4QjwB1MiZ2si3p6KhqCp+VSFDJ7oSTkVjebnjVQodWeSGBX0fvW654UVFAGc73Vz2hWe4ZUMpn799LXZLSFx2zdpSPvOGAPf9fH+SKxSkPPpmaR5dUrmcFl6zfUHC+XWnjjHQ1z2lbae5MlhUs3rcZVq7jRM1nmosq8jiBx++BLs1dE2kaRof+sleXqidXISzYOq4fUHu/u4ufv3BS8hND52T5btsPHjjSt66sZwbf7I3yRVOHafFxJs3lPHhSxbpJyvAd4AvAK1JKUwgEAgEAoFAcMEIUZFAkJoMAl8B/h+EnHG2FuShqBoeRaHH5+d4Xz+/qWuiwys6wWebTEu08+dEn5u7njmYxGomxk1Vhfz3+lAn0VAgyK/Piuv4mcQqy+dfKIWYr5F4ZbrO16ePtyexEsF0sqEymw9dU0Omw4IkRUeNj/zMK3Ojf/dnWlv46enTyShzDId6ethZXAzAxcU5fOXgmZTwyjjbHxVHuCzx4y2Mhr7FM2r8mT6qKRU+gScYT/geqiw9M3NaREUQij3zKgHMki6qKsnfwOhjaFBVJrW+/rPo8Xl9cUU0Vjl6Ce9XFFqHPcjhti43qFDb14857NJklWWcZjN2k4xJlrGbQvuwksA5qtKVM6naZ5tEYipp9LPJnNaYYLQUSxGiojFoaOzuPMF15ZsAyE6zsnlhLnvOTk00kGr8bl8Lz9Z28OS9l5GXHhKY3b5tAYcbevnFC3VJrk6Qyhj0NOKCuX7Hgkh04Gj6e7toOFs7pe3KsszyNVsxjePiB7HOiIKJs6DQxY/vvZR0Z9SR8NO/PcwT+0QE+GxT1zHETQ88y5fftIFtS/Ij09eUZPLEWzYZUli0pjiD79yymtJMu36yG7gcmHoWokAgEAgEAoEgJTBWr6dAML/4DPAX/QSTLOGymKlwObm2rJivbllHvn1uuAYYiSxbVFTU5zOGe5RHZw1uNMGLUdBH6Ix02hkFLSW6pGeXDIs5Zl94eY50igng/htXcFF1HitKM1leksmykgyWlWSwtDj0cOg6QFIp+uovTY0RAUG+w8aybFeSKwpxZiAqKpIkiZW5qVHXhTAXhJRrctMjzz3KzEVCTRQNDU+CaCpXenrc6YkIBgMEErhzWmUz+fZ0VmaXRd87yfuxaZQoKDBJUVGi36OqxN+ORY62YT5FZTioMBRQGAwE6Q4EaXIP4zCbWJjuotyVRq7dRprFEnNuEkwgmlmYkRt5rmih2NiRh19R8CsqAUWNRM0GdQ9FjUbZ6h/aeR6KbrlUwR2I77w132kb7qHXNxR5fffOhUmsZvrpGw5w6eefYdATbX/uu3klRVlzI/pTMPMY/+xiYlSXZ7JyUW7ceYoS5PjhPVNu0xcuWUVGZvaY6aM3NwdO5WadwmwHP7nvMvLCgg9N0/jm307wk+fOJrmy+Utrr4d/+/qL/OdDL3OiNSrAX1OSyUO3ju/WlUrIEtxz0QIee9PG0YKiYeBOhKBIIBAIBAKBYE4gnIoEgtQlCLwOuB94B5A/eoFMq4W3Lq7igSOvznZt85osazT+rNOT/I68iTAYCEaem8UduBlBf6PTIhvrOzZq/M+FsCIrK+J44PErnGxP7IwhMBZ5Luv5FyJ0I313R+rY/Ld7vXgUBac5dHq+oySX471D51lr5hkMKHR4fBQ4QiLmHeXZHO1Ofl0Xgv4waNT2L98RFZWfG+5PYiVRhhOIitJcE4vk0uPzeLFYxsaCFdozuKxkeYwQJ9nC2At1KposZp2oyD/qvVob6lmwdCklTmdCVx+ADu/Yfbg8LSvm9a6OTh48NrvXGGYZvrp5IyVOZ2Ta821HaBzqRJIkLLIZWZKQkZAkCSn8vwzh/2UkCWRJRiLk1iRLEhIyskRMNBqElrPKZmwmCw6TFZvJQlBTONB1ZlY/t5FocneSbQuJS2uKM5JczfTj9ge57Rsv8tePXoosSbjsFv77lpW8/0fGc4wQzD4GPaWYFGaTxPU7qhLOrzt9nGH31K6rsnLyqaiqiTtvtKhovsZ3T5Usl5Uf33spZfnRc7JHXqzja3+emqOUYHr5x+E2dp3q4pH3XcyK8tD52DVLCvjOzat41++PJLm68XFaTHzndau4dGGefrJCyH3/m0BzUgoTCAQCgUAgEEw7QlQkEKQ2PuDjhIRFBUAm4ALeDLwfYEdRPnl2G6cGBjk37CXPbiPXbqXPF+DZtnbODLoTblwwNfS3r5LdkTVR3DpRkclgghejoI9fGe1akOoYNf7nQliUEXXOaOxxz9vogrmIvoP/aE8P9UODkb1z5O+sorG/q4tGd2odI2v7etmQF9IQX1Kcy/eONSS5ohBn+t0RUdHqfON3Iut/I8mOzpoq+kP5ZJ1xZgqvEkDWnSWN7G+2Kbhq+nw+XIx1OMp3ZIwR8fiU4JjlZpPRx/wgk4vOSvT3syb43vTfsX+UKq6vs4u+7m4oKRr3PV/tGxv5mWOLFX+dHZx98WBQhQeP1vKFTesjHcYXFS6n17+XLm8/3hRw5ZrvDPqHI88zHWOFf3OBk+2DPL63ids2VwBww8ZyvvfkSY43p4aAU5BazDdty+Wby8nLssedNzjQS+PZqYlRzRYLK9ZsSSiIPdHYy2uJipkkcU9jwjhtZn7wkZ0sKcuMTPvrgRbu/9WhJFYlGM2gJ8Dbv7uLxz68k9KckLj6umWF/MAs8/bfpubfqijdxg9vX8uKwphz9gZC96yfT05VAoFAIBAIBIKZwli9ngLB/EUD2oGTwH7gw8ArIzOXZWVwY0Up71i6iNctKGNnUQE3VZby4Nb1vG1JldjRp5l+f9QSP9c+MUeMZDMciHZYidtvM4NelGI0NyijiOOmk/K0aOdpY/fwOEsKjIbZFN3/9nR28tv6eh4LPx5vCD1+39CQcoIigL83t0SeV2U4qXClRuTK2YHoPrIkZ/KuM6lGjDjYoM2fvtMtVYShflWJW5fNHr/zcTx83vjxU5ZREa5DAS9Pthyd9PankxjXpCn8LRLF11ksFuzOsW2A/v3iCZLqX609b7TjRQVjXSZGn7k80ZicgeVnh9x89cjxyHdplk1cXbqOdEtqtIfznWHFF3lutxor7ncy3Pebg3h110/blxYksRqBYUiNw/GMUZznZPvakrjzNE3j1aP7phx7tmzVZuyO+OeYbk+Qv71YHzNNDJSaGBaTzHc+cDFrdXF1u0918p4fiDSqVKSj38sdX3uelp7otdeVi/P5+9u3YDen1p3dxblp/O7Nm0YLih4H1iAERQKBQCAQCARzktQ6IxUIBBNFAV4PnNer+JbKMu5anNieWjB5+nSiomybMUbouoM6UVE4JkIwveg7dc0Gu8k52vVhPlDkiHZyn+1MPXGJYOrof8+KwXp3Tg7041ei7fWO4pwkVhPlWE80xqLAOXnXmVQjFQU5k0V/HE+VTxAYJSoaEaxOxakooDvX0iPrPvlQwMuPTj1Puze57iHyBboTeoPxPytAQVFhzGtplPTHr451RTrX2EjzWV4hgwAAIABJREFU4NC4Hbv5DhdvXbKFtyzezJuqN/He5TvYUbQwMn8wkLim2WB3Vzc/O10X+QwOs42ryzZgk41x3j2X0cccWk1z94pCVaGhK3p+uGQORr0Jpol5dBl106ULSXSZ29ZSx0Bf95S2W75gMQVFZQnnP/7MafqHYgW48/H6dbJIEnzlP7dw8cqoe2FtSz93/t+LSaxKcD5aez284cEXqO+MOkYuLUjnD2/ZlMSqokjAXRvL+f1bNlGSETNw4H+B2wFh6ycQCAQCgUAwRxHxZwKBcakjNALkMmApsB6oAJqAeuBWYAXALQvKeKG9k1MDsx9jMBcJatEOHJNBbmZ5ldhOpwyrmT5/cuNC5hr6b9hoTkWjnR/mAzm2aCf36Y7BcZYcS2m2g0X5LvLSbeSn20i3m7GaZAY8AXqG/bT3e+lx+znZPojblxqxRPMJ/chlRU0VucXEOTs4yNKsLAAuKcnlF6dazrPGzPNqb/T8wSxL5NrNdHuNewyJjTE1JvrDzFRdAaYbRYsf+yXL0+dmkoqf+0I7NlU0hoN+nOax7pcl5aU0nq2PvLaazBHhlqppBJSx34GqqOypq6e1uIh0iwUpXKMELM3KjNRb7EwskkiFr/aJpmaKnXauKg25YmRZ07iydB1/a34l4W9NMPN4glGnIkmSyLCbGTDw8SARq8oyWFjgirzuHvKNs7RgPqMXe85l99cNywoo1e0TenxeD6dqD05pu670TKpr1iScv+doOycb+shyxR4jDXa5nRT+37+v57VbKyOvm7vd3PClZ5JYkWCitPQM84YHX+D779zKqopsICQsumFZIX+sHRthO1vkOCx846aVXFyVq5+sAfcA305OVQKBQCAQCASC2UKIigQCYxMA/hF+jObLwMuEhUVvWFjBZw4en8XS5i76jhaj3MzSx58B5NisQlQ0zejdLoxgx64R7Vifb6IiGbDqPnNt28C4y1vNMjsW53HViiIuW1pAQcbEo3zO9XupbRvgcFMfB5v6ONTYS+9wch0g5jr6vU81YMfzM62tEVHRipx0cmwWenzJ/c20e3wEVS3iwrYkJ41drcYdhBr7GzFmB6BeyKJivN/5VIntvE0NTNNgU9Hjc8cVFZVWVuB0HWR4KOSYYpWjl+8BVU34HQz29+HOz49xqgTIslopSXNOoJ7UEFB878RpCh0OVueEOtSKnNnsLF7FM62HklzZ/GU46EPTtIi47S8fuRSrScYbVOka9FLbOsDv9zWzt64nyZVOjh1L8rhtUwVrK7MpznRgGRUz88+j55JUmcBQpMqBaZqxWmSu2lqRcP7J4/sJTsHhTpZlVqzdimyKLz7u6vXw95caAObRmc708J6blvPmq5dEXvcM+bj2c08Rx+BQkKJ09Hu5/avP84d7L6WmJBOAz1xTw59r25OyPxS4rDz+pk2UZ8XE0fYCdwFPJKEkgUAgEAgEAsEsI0RFAsHcZQj4BPBbgM35uXx87XJ+cPIsbcPe5FZmcPQdkEax3faNunvkskyfa4AgjF5sZgAffP09b6M5K10opWnOmIieugTxZzVF6bz14iquW11Mun1qkStFmXaKMu1ctrQgMq2+yx0RGB1s7ON46wB+RdzhjYdZlpAlKTLyO7JvSSFhiCSN3d9cur+VEX2i9nR18k5NwySFPvvFxTk8UZ+8EakQai98ioI5LGjINEj0ZyL0uk8DmlkBsU6JRv0MUyJOvFqykabhGNrlHaQsLXvMdFmWqV5Ww+G9+wGw6FyfAuP0DPq98c/1/9rSiieoUOp0YJYkTLLMqpwsNC10fqsBfX4/3zj26oV9oGnk0weP8H9bNlIaFkNVpRexJd/L7s4TSa5sfqKh4VH8OM0hx8fS7KhIrTzHybrKHN64bQGDngCf/P0RHn+lOVmlTog7tlTw8RtX4rKPf2vs0hVF7DnThaqCLMP9t64mK83KN/76KmfbhRvwfGY+XEZdsr6UNEf8faSzvYWOc1PbzxdUL8eVnhV3XlDRePTvJ/EH4x/rpuPYO1e587JFfOi21ZHXbl+Qaz77FMN+cb1pNPxBlQf+cIwfvOsiALIdVl6+ZwdXP7yLvll0CSxIs/Lj29eNFhQ9BrwL6Jy1QgQCgUAgEAgESUWIigSCuc0TwFlgIcCW/FzW52bzp8ZWflXXhDsonGqmghIjKkpiIZPEr6hYTaFRty6zaP7nPTqrIiOIoKaTirS0yPNBb4Bhf6z0ZHNVDu+5vJpLagpGrxpBUTW8qsJwUMEbVFE0FYfJhMNswm42YZGkhDe7F+SlsSAvjZvXlQLgCyrUtg5wsDHkZnSwsZeG7uFp+KTG5ku3r+bWDeUX5PylGHQ4brN7iEpXOhCKQEu2qAjAo6ikhbVEWQYXFUkpKEyZLHpRkaIZUT43NfTeIanyt5sO96RevxslLCYczcIl1RFRkX7+eKKiRMcfCfjnueS3J5Plo3v3892LNpNhDbk5rcxZgKpp7O06meTK5icTiR5Md1j4yhvWUZbt5OtPpt7fKc9l5ef/eRE1xYljAPW846olvPXyaho73RRlO0izha6lbtxYzp/2NfP+H+2dyXIFKcxciFQdD5fDwkVriuPOU5Qgp2oPTGm76RlZVC5clnD+n56vo6PHE3mtGvScfra5ZmMZn7prQ+S1P6hw4xefoXvIn8SqBBfCs8faeeboOS5fWQRAYbqNl+/Zwet+tpfjsyBqXVbg4ke3r6U41q35f4AvMjebPYFAIBAIBAJBAkSvskAwtwkA1wI/BC6GUMzRLQvKeE15Mc+2dfCHhhZahj3jbkQQiz5swihORQBDgSA5plBnTI59bMSGYB5jnJ/xtFDsjI6w6xyMRrwsK87gI9fWcPmywjHraJpGp9fPS+3d/L6xjSb3+I5vMrAsO5212Zmszs1gYXoaWVZL3DbDZjaxtiKbtRVRl4oet59DYYHRwcY+DjX10e+ZP7FpBRk2Xr8pcczCRHEHjCme/de5diqrQ6KijflZOM0mhoPJFY4M+ALkhY8dxS5bUmu5UPR74VuWlhNQNVRNQwm7taiahqJqKJqGqoXulo+4FI64uWiE2gU1sg7h5TVUwCpLlLvsoflEt6tpITGMV1HxKxreoIJfVTkzMEy6xYzLbCaoqfhVlYCq4VdVgqqGP6gRUEPTVYhE0YFxI9ymhk7AkyIfe7rcEgYDXrKsjjHTVSW670s6WZUyzhdgMsW/zA+mypc2Sfyqyof27Odb2zZhC8fkrM6tojQtj5P9zdT2NaWMyMwI5NrSWZhRTIE9C0VT6fMP0ezuIqAGSTPbSbPYsckWPIqfPt8Qnd4B/GoAs2RiTe5C0iyxMbCP1TcSVDUKHHaWZKRHXKUkSeJ9V9fw85fq6XEnv0N7XUU2r9tYziVL8ynPcY7ZdxsG3Rzt6+Nk/yAt7mG2FeRxY2VZJCbYYpJZVJQes44kSdywsRyX3czbv7Nr1j6LIHWI+R3NwWbo4nUlY+IAR2iqO4lnOL7j6/moWbkROUEE9/GzPeyr7YiZNjrR2EiDu2aLrcsK+Nq7t2EKf6+KqnHngy8kdOUVGIcP/ngv3757C9vD7scOi4k/3rWFTz15gp/unzlHwI1lmfzwtrVkOmIGlHwFISgSCAQCgUAgmJcIUZFAMPc5BVwCvB54AKgAsJtMvKasmNeUFfOPlnN8/8QZvCJ+Z0LoY0ZkA6kxhoMKOeHnmVZju0wIphfj/IqnhzxbVBDRPeTDJEu8+7Jq3nflYsym2JvbXkXhyZYOHj7RyNAk3N1U4FjvIMd6B/nF2ej0Fdnp7CzMY1VOBqVpdpwmU9wO6Zw0K5ctLYiJTavrHGJ/Qy8vnupib10PLX1zVxDqtF74KWqfz8epwYFpqGb2eaa1hTsXLUKSJKwmmS0FWTzb2p3Umrp9gZDtIVCebh932VRHv8/ZTDLvWbUgecVMA0WOTKrTC1C0kGuaioaqqWgaXFy0mGJHJkNBH788s4dhJdSxn2Gx85ryVdhlMwojgicNq2zm0bN78KupKcjTx3+liogktgWfek3nhvviioqUKQgKZVP8mFvFwFl5fX4/9+7dz5c3rcca/ny59nS22ZdR4crnmdZDKfu7TRVssoUtBTUsziyNmV6alsuK7Mpx1/UpASyyCVmKPU861T/AI2caYqatz83m3tXLscgyJlniYzcu58OPHpyeDzFJdi4t4D92LmJDVQ72BPHPDYNuHj55muN9secMdUNunjvXwb8tWsCm/NxxB5NcuqKIqvw00Xk/z0mV49J04bCZ2bRi7GALAL/PS/3Z2iltt7RiEZlZuXHnuT1Bnnju7Jjpo91HRfxZLCsqs/nuB3dgC7dzqqbxrode5kB9b5IrE0wHg94gd337Jf7nlpW89bJqIDTA4DPXLOX9Fy/kzkf2cbJreo8/ly3K5bu3rNYfOxXg/cC3mUeCopMnT0pAZrLrEAgEAoFAYDj6lyxZMufOmYSoSCCYH2jArwjFoX0Y+AAQuYtzdWkRy7My+OzB48K1aAIYNf7ME4zeiHNZRPM/39F0+WfzLf5MfxO6PCeN3777ohiXIAB3MMjPTjfxm7rWaX3vEaHRCFZZZkdhDtsKcqjJdJHvsEVGxI+mKt9FVb6LWzeWAzDgCXCkuZ8Djb3sa+jlQEPvnHEzGt22fmLfvkhHzUgLrIUdY0J95PpzdAm/qtDt82FUgkCn10uBIyQwuKw0L+mioladO1dlxljhg5HoHPZRNsPCKFXTZs3NsCariJqsonGXybQ6eOeynbgDPiQJnObEblPvWX4ZPd4hFLSwG5OGFhYemSSZQkcGAwFveB8MLwOYJJl0nYNJti2NZnfPdH1MABwmnSg6RS7N5Zg4vamT6OeiqJMXFZkSiIqM6lQ0Qsuwh/fvfoWvbt6AQxflW5qWx42VW3myeT/9AREfGo9sm4srS9aRYXVOaX2bKf6AhP7A2POO/d29PNV6jteUlQBw7eqSWRcVvXVHFR+9bhmOcUTKXkXhT40t/KauMeG+0TLs4YEjteTarKzPzaHClYZZltjX1cPpgUEe3LqBdIsFSZJ42xWLuf+XyRFPCZLHXL6K2ra6CKsl/nVJ/ZnjKJMYcDGCxWpj4ZJVCef/6YU63J6x2x2dfmYkx+iZZkFROj+6dyfpYTcZTdO4/5cHeerouSRXJphOFFXjM48dobHLzcdvXR2JCM9Ls/KXt23hHY8d4pkz03O9+IY1JXzu2qWYo/clfMAbgN9PyxsYi0xAqPMEAoFAIBBMlmygL9lFTDeiV1kgmF94gM8C/wv8GyGB0VKAsjQnH1+7nA+8fACfyKsfFzVGVGScm1leXXyGwxT/5qBgejDOryKE2UjquGlALwwsyrRTlBntBA+qKo+ebebHp5pmpRa/qvJ0WxdPt3VFphXarVxWks+G3Cyq0p1kJohNy3BY2L44j+2L8yLTTrcPsr+xlwMNfexr6OF0x1DKRARNhphOek2jwT2UxGqSw+7ODm6oCDlHXFScg80k40uio2DjUFR0XOwytlPRe546xtevWE6h04YsSUhS6DcnERK0RaYR+j8iv5Ri2/fQ6+j0kedWkxzzG+7xeSLiTSn8PiZJwiTJmCQp4royG6RZJhZdl2N3jTs/M46jTjwWpOfTo5jJDAsZNF18HGFBUihKLvw6/K/TbGNZVglm2RRxXdLQMOucihxmK0syimh0d+NVkieojBHmXkB7O9oBZgRVv99P8HCd0KlodH6MAen0+njriy9xa2Ul15aVkG4JdaJmWtO4oXIrz7YeomU4uSLMVGNVzgI25C3GpPuN+RWFM4M9BFWVqvRsHGYzEhJBVcWrBPEpCk6zGafZEiPG1jSNoKpiCf/G9O6Pev7R3BYRFTmtZt5x6SIe+ueZGfyUIexmmd+9/xKWlmTEnd827OF4Xz/7u3rY392Lf4LXvd0+P0+2ju2gP9bbz9aC0HlYac7UBFsCYyPr40iN38RGsFpktq0ujjvP5/XQ0jTWTWgi1KzYgNUav904Ud/L0dPx2+/g6C93fl2+JqQw28FP7r2U3IzQubmmaTz451oe/Vd9cgsTzBg/ee4sx5r6ufemFWxcFBorajHJ/PD2tfztRAf/9dda+rxTc260mWU+c3UNd6yJcTQcAm4A/nmBpQsEAoFAIBAIDI4QFQkE8xMP8DDwE+CTwP9ASFh0Y0Upv6m/sM50iyyxPjebldmZ5NltqBqcG/bwbFsHzXPACSmgu6FlJDGGvjPaYZ69Dsz5QoxPinF+FkCsUG4+0J6gHWp2e/jInqN0ev2zXFEs7V4/vzzbwi/PtkSmrc5OZ2dRHhvysil3Je7Mry5Mp7ownddvqgBCbkYHGnvZ3xB6HGzsY8iX+vEwRhJszhR/aWzkteUVSJKE02ziosLspLoVneqLCrsybca+hOj1BnnTnw/PyLa/ccVyrlwQFfo9fOIwR3u7xlkj1C9WYHfiUxX6/T5kSUJGCv0ffkgSmJCQJRlZgrW5BVxRUomiaZjCy5jC60nh1xPl1b5uMiw2StLGFxJNhXSLHc2WhssyOSFauSsnIiCSJTlh52FpWjbFzizqBjtpdCdn/5iuCJZEkbrBBE4Q4x25TQnO84wcf6YnqMKv6hr4VV0Dn1i7ilU5IbdBm8nC1WUb2N3xKsf7GpNcZWqwMW8xa3IXRl5rmsbJgR5+fPIgE9U/FDtclKWl4wkGOTnQzZqcQm6rWg5Arj2+OKDRPczR3j5WZmcBcO/1y6nrcvPkDDpnlGY7eOKDl5CTFlvT2cEhdrV3saujizbP9F6L6s+htXl2Pi0IYZJjRXdzhS0ri7Db4h9LmupPoiqTd9HLKyyhsLg87rygovGnF+oTriucisaSmWblx/fupCw/LTLt5y+c5Rt/O5HEqgSzwStnu3n9157n7iuq+a+bViLLofP/1ywt5JqaAp4908W7f3cEb3DiSsdcp4WHb1vD+tIs/eR24Dpg/zR/BIFAIBAIBAKBATF2j4BAILhQAsDHAAfwQYBN+TlTFhWVOh1cXlzAtWXFZFjHWuTfWlXOHxpaeORMg6HdkNy6zp00A4lz9CNx7cKpaNrRUiWHZQoYt/Kp8UpXF29cVEVA0bCaQ/vCI6eb+MGp1O2APNw7yOHeQaCOa8sK+OiqxRNaL8NhYWdNATtrCgBQVY2T7YMRkdH+hl7qutwzWLlgqnhUNTYCrSy5EWgn+qK/E1mSWFeQzoGOwXHWmJ/U5KTFvO7zeRMsGUUD2r3RyCZF01DQxm2cn25t5OnW87dZsiSxJiefDIs14gik6Y5Y9YP9tAyHBGMLXBkszsjGJMthJ6WQm9KIYEmKTJNYkpHDSx0tkfeQJYkcq511eYXnrWk60DSNfv9w5P0XZRSQZ0/naG8zfnV2hZN6p6ILORdI7FSUoON2nLeS5bkZfxaPTx08wpsXVXFDRVlEULetcBkZVicvd7ya7PKSSq4tI0ZQpGoa/2g+w7PnGia1nTbPEG2eqLC0dTj6PN1iwW6S8cZx0vvpqTq+sGltqN2QJb531yaeOd7O3T/cM4VPMz73XreMd1xWHSPwqBsc4ruvnuL0wMy5HZY6o+5EnQPGjV0VTB39b26uCDfNJomL1sR3KQr4/TQ3np70Nk0mMzXL1yec//y+FvoGJ74PGWhs14xgt5r4/od2sKQsKgD528EWPvHrmRHNC1KTh58+TdeAjwf+fT3m8D0+WZK4ojqfgx/Yyfd2N/C1F87vKlaQZuWxN22kIjvGcW8XcAcwOxbOxmEB0J/sIgQCgUAgEKQcmUB9souYaYSoSCAQAPyasKhoWVYG371oAy+2d/GX5jZ6fOM7dsjA2txsXl9VzorszHGXNUkSr1tQxorsDO7fdxTPFEa3pQKNQ9GOP6fZhNMsMzyJEUDJwq9Eb3JahahoRjHayMk52Mc4Li0eL/3+AFk2KxCKBvxj08yNnJ9unm7tZFlmOq+tKIqZ/uK5c3gVhaWZWRQ47FhkeYyDhixLLC3OYGlxBm/cGorW6nH7Q25G9b3sb+zlcFMfw/7kts9jIg7mKS93dHBjZejvtL0ouRFog4EgzUMeysJOWTdWFwpRURz0+1yPz0vzcHKj+1RN40B3x4SWrR8aoH5oYMrvtTA9kwKHk9K09Mi0wYCHIb8HvxIgHBAHkbg4Yv+NfHUSbW1tLFy4EFmWGQh46PcPhyPqQiInr+LHHYztfMy0OtiYV8WhnsYx82aS6erYNCU4d1CCk2+PE8WfBedA/Fk8fnqmjjODg7xvxbLI97giuxKLbOKFc8eSXF3yWJYVdQRRVJX/PbKLbv/5hY7no214EE3TIu1drs1GSxwXyDODQ3y39hTvWrY47LgmccWKIr58x1o++quDF1wHwJXLC/nC69eSlx7rTvRieyffPH6CwAyKPGyyTLkr2gH794OtM/ZegtRFf92nzhFR0YZlBbicYweJATQ3nkJJ4KA3HpWLlmJ3pMWd1949zPP7W+LO06Nvd8zz+H6G2STxjXsuYsOS/Mi0vWe6ePfD0y/YFKQ+v9/bxNGmPu7cvoA7t1dht4bOAR0WEx+4eCFv31TB93c38J1dDXEjP50WEz+5Y91oQdH3gPcSGogqiKV/yZIlfckuQiAQCAQCQWpx8uTJZJcwKwhRkUAgANgNvARcBFCa5uSOhRXcVlXOoe4+nm5rZ3dHd4y7UJbVwvbCPG6uKKXIGTeKZxj4E3AQsAH/DiwCqMnM4GNrlvPJA0cNOWL6zOAQXkXBbjIhSRKvX1TCj080J7us86LvpDcnGA0vmDpG+ylPl7OCUflGbS0fX7MaSZKwm0x8bsNyPnHgVVqHJ9bZZpElSp0O8u1WbCYZRQsJDlsmuP6FEFA1vnbsDF87doYHNq1gQ15ohOrm/Hze9sKLkTiTLKuV7QUFrM7NoTItjXSLJW5MT06alSuWFXLFspDDSFBRefXcYERktL+hl6ae4THrzSRzZaT3hfLXpkZuqAhFoDnMJrYVZvPPJLoV7e/qj4iKdpTlJK2OVEa/h+1qP38H2VwiJPqJ4gn6aRjqon+wj07v5ARobfte4vkjr1BQVEheUQH5hQVk5WSfN2rMZjKzLncBB7vrGZolYVHs8XTqJBIkK2pUVKRfYj7Hn8XjXx1dNLv387mNa7GHRVVLMsvwKUH2dM6/KBibycKijKjTyO7OlmkRFAGogIqGifFFRQDPtLUzEAjwjprqSFTarZvKeXR3A/vre6f0/k6rzH3XL+eWDeWkO2KFDz5F4VdnG3iisWXGz26LnPaY/faFWuMI1AXTh9mkExUZ7YIwDrIssWN9adx5wWCAprrJ3yy32R1UVNXEnadp8PgzZyZ9fBoRTsw3JAm+ePdmLl8X/Rudahvgjq+9kMSqBMnm9LlBPvPYEb75txPcd9MKXn/Rgsi8dJuZD12yiPdur+Kn+5v59FPRfdgiSzx82xqWF6brN/dJ4NPMP0NrgUAgEAgEAsF5EKIigUAAoYvF24A/AJtGJpokifV52azPy0bVNJrdwwwFgrgsZsrSnIk6Pw4DvwAeAvSjNx4A/g+4G2BNbhbvXLqIb9eeNtyVakDVONDdy7aCPACuqyw0hKhI0d3kNBvMSccI6H/HMsb6fufA/e9Jc6S3n6da27iqtASAhRlpPHzxWn5+upnHG1ojMR6yBNXpLpZkplHpclLksFPosFHpcmCWx4rzzgy4eehEPa90zc7gtYdO1POd3DXIkoTVZOKe5cv4+vFaAPr8fv7c3Myfm0Ptkwyszslhc34eSzIyyQ+7GY3GbJJZWZrJytJM3rx9AQCdg14ONfVxqLEv9H9zPwOemRu4GNR1LJxPRDCXGR2BdnlZXlJFRbvO9XLjgpBDVonLRpbVTJ9/dqOmjMTc9IRJjKJpSHGOf6YEUVznI+D309LYREtjKHXB7nRQXlnBwqWLychM7I5pkWXW5FTyStdZfLMQhRZ7Pjz1A2q87w7GiT8bb1sJxOPKHD/gN7jd3LNrL/+3ZSNpltCtjlU5C+jxDXB6oC3J1U0el9nOwoxiSpw5pFucWGUzGho9vkHqB9s50d+SUBi+KW8J5vC+p2oaf22efFzReARVFVPYKSQzTuy1nle6eqgbPMiXN68n0xoSOH/rzRvZ9uknE67jtMq85eKF1BRnoGkaQUVD0TQ2LsihKt+FHMci7HBPHw+9epo2T3yB03TT4/OjalqkDXjy/13N5x8/wpOHjfdbE0wdffzZXHAqWlWdS6bLGndea9NZAoHxnazjsWDRMkym+LefXz5yjtbOiUUxa1pIVAPzV1T0X29Yyy0XV0Vet/d5uP4LTyexIkEq0ev281+PHODRf9Vzz7U1XLEqKi62mGTevqmCG5cVcuvPX6Gh18P7L17I9gUxA0W+CnxqtusWCAQCgUAgEBgDISoSCAQjtAFbgGXAa4F3EcqKBkIdJhWu+HbVgAL8HfgcIcejeAwD7wRcwBsAri0rJqBqPHTizDSUP7u81N4VERUVOW3nWTo10HfSm6Yrq0MQQX8L2RAaCF2N89GpCOD7J09T4UqjJtw5bTOZeHtNJW9dUkGX14+GRrrFgjOB40M8FmWk8aVNK3j4RD2Pnp15l5LTA26eau3k6tICALYWFFDpcvG5g4fo8cfe9FeBgz09HOzpiUzLt9m4qLCAVTk5lKel4TKb44p48tPtXLm8iCuXRyPX6jqHQgKjpj4ONvVxvHUA/zRFQY4erWwG5qt0JZUi0Had68UdCJJmCf1OPrq5io+9eCoptaQqsYfX+dW2BhQl5vinhQUs9viOlpPGO+zhVO0JTtWeoGpJNas3rMVqi38OZjWZWJVTzr6u+hk/xsU4FV3AWyVcVYrvhGSEU41k0Of384Hdr/DNbZuwhR2LLipcTqd3gH7/xDquk02BPYt1eYsodebGPSaXmm2UpuWxNKucp1sPMRiIdRO8qHAZNVllkden+rvjRp5cCD5FwRYxfa9SAAAgAElEQVQWCYzEyY5Ht8/Pz07Xcc/yJQAUZTr418ev5MOPHuDlM1GxbEmWne/etZmVZZkTFhWfHRzid/VNvNTRNYVPMnUGA0EO9/SxNjcbgMp8F9975zaGfUGePNzKoYZenj7cRlP37Lo9CmYX/XW1ohj/uL99bUnc6aqi0Fg3edc3q81OSdnCuPOGvUGe2dM04W2pmhYZvOOwzr/b2e+4fil3X7c08rp/2M9Vn32Kabr8EswhDjX08h/fe5mLluTzpp0LuWJlUSQyMN9l46n/2MYNP9rNXRvL9as9AtybjHoFAoFAIBAIBMZg/l2FCQSC8dCA4+HHl4FLgLcScjGKpyhqAn4LfB2on8D2VeDthMRKWwFuqCih1+fnN/UTv5mUCrR5ovEBZoMIdIZ1I93tJhF/NpOM/CJKnXY25+eQZ7PiVVQa3cPs7uyJuOAkFY1IoYncEeYD9+8/xL8vquK15WWRkeayJFHgOL9YUNNCo+YVTcMqyzGdX/9eXU6X18+TrZ0zVvsIPzjZwNb8bDLCTgHFTicPbt3CV48eixEQxaPT5+MPjU38IewEIgMb8vLYlJdHdWYGeTZbXEcmgKp8F1X5Lm5eH+q49AdVXj03wKHGPg429rK/sY/6rql14I4WFVlkOSbCcT6RShFoflXlH02d3LIwNOr1+upC7n/x1Lxz5Jkoc9wUZgzDSjCmHRz5+GazmbR0F+7BoWl7r7qTpznX0srWS7aTV1gQd5l0i51KVx71QzPbDss6V6CZEDAlElZMRcA8X5zfev1+PnXwMJ9dvxZZkrDIZi4rXs0fG3ejaKnbYmVZ01ifV01VetH5FwZy7RncWLmFXe211A2ew2VxsCl/Scz6fkXhp2eOTHutHiVABqFzpWzr+UVFAM+1tXNNaTGLM0MxKyXZTh5993Y6Brw0dLkpzXZQnOWY0O/Ur6i82N7B31vaOD0wfW3LZPl27Uk+sW4VpWnOyDSnzcxNmyq4aVMF99+6moYuN+/7wW6ONvUnrU7BzKF3zTJ6/NnC0gyK85xx57W11OPzTt4FrKKqBtkUf4DGs3ub8fon7sanqhqEN2W1zMz9DKtZRtNCbmyT+XPKkoQsh6NgJQmTLIWE5lM87mqahqJqqKqGpsFtl1Rx3xvWRuZ7/EGu/dzTDHmDWM0ydquMw2LGaTVhMcucbJtc7KxgbvLSyU5eOtnJgvw0PvX6NewIx51bTTJ/edvW0YMN30lowKhAIBAIBAKBQBAXISoSCASJ0IDnwo+3AUsJuRg5CbkOvUpIfDTZO2fDwDXA08BGgDcuqmBvVzf1Q8YZxenXiUKM0j3jCUbvDzjM/5+98wxv4zrT9j2DToIF7L2KpKguW5KtEncn7k53nO7Em57YKU7zlzg93vRiJ/Fm0zZt0zbdsVMcV/UuSqIoiWLvnQTRZ74foIABCbACBCCe+7p0CdNfDGfODM77nOcVoqJoo2p6HQssZj532Rq25mbNWM+tKOzvH+Kn59ries2rGlXRSneu+tn5CzzZ2cUH1tZTlZY2I5mlqipOn49Bl5teh4Meh4PGkTGaxsbYnJ3Fzvxc1mZmhrQFRlnmvrXV7OsfZswTW4+dAaeb9+49wcc21LA605+o08syH1q/jo8fPESbff7CHgU4MDDAgYHgaP8Ci5kdefmssWVSkpKC1WAIW/7SqJfZUJLJhpJM3rCjAoDBCRdH20Y43DrMkbZhjrWPMLmA5IEg8Uqg/fp8V0BUZNLJfPTKar6wN/kcB2NFOFHNSmHU7QppB7UCm9yC/KiKigAc9kmeefJfXHnNLorLSsOuU27NodcxisO38HIt80WO2t88/NYh19S8M5wR9rXQkJKYptFxfnehjVdV+Z3ess3pbM2tZW9fY5wjm4lRNrAlZxV1maUznq9eRaF1YpTz40OMuFyk6A1szysm2+xP/Jt1Rq4t2si1bJyxX5fPyzdP7o+JKNfpC77bZM5TVKQAnzvawEc2rmFNZrCEYV66mbx084z1XT4fTaPj+KZKjOlliUGni8ODQxweGGbCG38Pw0GXmw8fOML1RQVcVZDHqvS0kOWSJFGRa+UPH7mOf53o5ut/OU1jpxAXXUpo79npovhkojTfyqfecQW5tqCwT5IkUFXaesbZ88zCXYoMBiPFZdVhl41NuDlwsndB+9OWlyvPt7KqKB2LSU+KSY/FpJv6X4/ZqMNk0IX8bzTImI16TAYZs0GHZWpdi1GH1WIgLcWA1WLAZAgKoHyKgk/xtz9+0VDiPEUtRj27P3dTRBGmy+Pjhs/+k86h5OljE8SOln47b3p0Nw+9agNvutp/T07rAzoLxE+hKxAIBAKBQCBICoSoSCAQzAeFoINRNBgDbgEOAOV6WebVlWV86UTidfJHIhm7Cx0aX2xThNGCgsWjvSbuLA9vGw9+scmu/By25Wbx6SOnODgwEvvgwqCNV7dCnAtmo9/p4mOHjmKWZeoyMihJtaACdq+PQwODTHi9mHQy1Wlp1Kanc31xAfetXR3RxUeecpW5q6qY759pjXn8HXYH79t7gtdWl/DGVaWBzu/7167hA/sPLGnfPQ4n/9fayv+1Br9HfUYGW3NzqMvIIN9iwaLThe3UzraauH5NPtev8Y+K9CkqZ3rG/CKj1mGOto9wYcA+50jgZGxzo0kilUBrHXfwVMcA15X4S4DeXV/Itw5fYMKduO4fy8k0SWKcoogPPlXFoxEvaEVF5VUVtJyNvvhMURT2Pv08L7rxWvIKZ7q7yBJUpuVyaiR25ShDhFRLcKmY35bBteRZJEJLieNS4lctrWzNzaYizQrAWls5nfZB2u2xdxGcLyl6E7eXXYHVEFom0O3z8ffOZp7rbZuxzXO9bdxRVsuOvJKICWWH18NXTuxlwht9QV11mo3ilPTgsXzzF/dMeL08dOg41xbm89KKEopSZrqi2D1e/tDaweMdnYnh7jkHTp/CX9u7+Gt7F6sz0nl5RSnZJiO5ZjOpBn+XmyxJ3LihiBs3FDHu8PC9f5zhu082xTlyQTTQJuaTue198jsvxWgI30eg842gl1wL3mdJRQ16vSHssueOdC1YhKVd/5NvuHzB8SwUnSyTyAbPs7m6mQw6Xv+iSv7zjyeXMSJBovLSraXcc20168tskVZ5x3LGIxAIBAKBQCBIToSoSCAQxIt+4EPAbwB25OeQe9ZEv3PhnVXxIBblLWLNpMapyBhBCCFYPJE6kd0+hc5JByk6HXkWU6DzzyjLPLC+jjc+eyAu4gBtuEJUFMSpKBwbHqZpbIzKNCvVaWm8tXYVpamplKSmhHXouYhPVeiYGCdFryfX4q8Y+dLyQv7W3kvHpDPidtHCp6r89Fw7dq+Xd9dXAZBvsSBD1MtTnR4d5fRocKS9UZa5LDuLzdk5rEpPI8dsxhCmndHJEmuKMlhTlMHrt1cAMDrp5lj7CEfbRzg6VTpNXJKhJFIJNIDHTrVwVVEWellGL8t847o13PtEQ9ziSSRCBSZxCyNuuLWOKJrvn1dYQHZeLoN90RdzKIrC3mee58V33obZMtPtJM+cTrOuD6fPE/VjQxRLikW4Xhaz/0jX3mzPsEuVTx45yn/v3I5xSlB/VcE6ft+ym0lf/H9zSEhcX7QpRFDkVRT29HXwePvspSX/1NbE6eF+7q5eR4reELhOfKrCyeF+fnPhVOj9GAWMssybVm2kOt0Wcl0+29O3oP0owL+6e3mqu5fLc7LYlG3DLOsYdLm4MGHn6GCClApeBI2jY3zhmD+JL0twQ1EBb6qpwqwZ0JFmMfDAHeu4/9Y1OFxeTAYdXkXl0PkBHvzl0UU5ixTZLPSMOlihlWLjipLE7kQXKchOiSgoAjh+/DiZVhNjE/MXKer0ekrLa8Muszu8HDq9sHYDYNzuJtUSXqQkmIl5lr+pYGVgNuh4+HWbuWNLeEfPKT4JPLVMIQkEAoFAIBAIkhghKhIIBPHkD0AzUKWTJG4syucXzTNH4yYio+5gYkqSJDbnpHNkYCyOEc2NVlRkSCDr7ksZRVW5/q+7A9NGWeYtq8t4bXUxkiSRaTSwNcfG873LLw7QCuNWuqjIotNRbk2lOi2NqrQ0qtOtYUfOh0NRVXomJ3iht4N9/d0ApOr1PHTZi5AlCbNOx6cuW8179hxftgTZkx19AVGRJEnkWcz0OGIranIrCnv7B9jbHyyblmsysSM/j/VZWZSmpmLV68MmxzNSjFxVl8dVdXmBeU5PaIm0lZ4jm1ECrTi+JdDaJ5z89nw3r6kpBmBHkY3L89M51JvYz8FlQXOJJ3+aceFMeoPvR9O//+Xbt/HUX5/EG4OSRS6nixOHjrB11/YZyyQJilJsNI8vPIG5nEQSrC9KtLQSFW0RmPQqfOXEKT62cR2SJGHWG7m6cD1PdByM+z1anJpNniUzMN08NsyPzh6dtxjo7Pgwnzn6HCl6PWWpGfQ57Ay5Y/O835FXwq2lNTMcGn/X0saZ0fFF7VMFDg4McXBgKAoRJh6KCn/v7OHI4DAvLi5kV34ueRrho0EnY0jxl44zAVetKeDpT7+Ez/72GP/zTPO8jvHxl6/nzddUo9fJ+BSV//fLI/xqd0sMvo0gEl6NqEifyLY2s2B3elBVNfC8cfsUhh0esiwGhgcH6OnpWfA+S8pWYYhQGnH3sS483oW/3T/66+N8+h1XBsqQqaqKqvp/jymKiten4PWpeL0KnsA/H26Pgsvjw+324XT7cHm82B1e7A4PdoeX0XEXA6MO+ocdDI44URQV41TpNJ1ORlEUfD4Vn6IQTkMmS+D1+o/tU4Lr+ect/HvKksSOjQV8/j07A/NcPoWHj5ylcXgCr6IgSRIS/kElPlXFq6h4VZWfXLeZPIsJ8A/cEKxcynNSefTebawpyYy0yjB+h6JfL19UAoFAIBAIBIJkRoiKBAJBPPEC3we+CHBzaSG/aWnHkwSj/UbcHjrsk5Sk+oUHD19Zz6v+fogxd/QTZdHCESIqSs4Oz0Qm3FUrSxLFKWY6p1xq3IrC9061cF1RDoUp/qTCBltGfERFK9SpKNtkosKaSoXVSoU1lfI0KwUWy9wbTqGqKpM+L72TE5wY7mdPTxfeaZIXu9fL092tXFdUAUBlWirvX1vNF4+fjeZXiYjd68OjKIH7fG2mjR5H97IcW0u/y8Uf29r5Y1s7ADKwOSebLTk51KSnk2s2o5eksAlzMbJ2JiEl0ArjWwIN4IeNbby4NJcssxFJknjkhrVs//meuMWTKKzk8mcQ+v2VacKWDFsmV16zi91PPYsSAzuNlnPN1K6tJ8M2M3mSZ06PmahI0nzrWDhZSrOUOVv4vlYmh4eGeaanl2umSuQVpWazPquS40MX4hpXptEa+OzyeXnszOFF7WfS66VxNDbvktlGM/fUbibXEiq2Hna5+e+m8+ztG4iwpeAi/U4XPz/fws/Pt1Cbnsarq8rYnJ0Vdl2dLPHQqzZyx5ZSXmjso2vYwbOneugemSkW+/Zbt3HrZSUh237q1RuFqGiZ0YpGklVUdOX6QlSVgFPosxcG6Z1w85KaHI4fP77g/cmyTGlFeJcip9vHvobeRcX5yyea+N0/z2FLNzE85sK9CGFSMrCxNodPvzMokvYqCh/be4p9fXOXTdc+5wcn4u/IJ4gPb71uFQ++fP302f8GPoM/F6TD704UGxtPgUAgEAgEAsEliRAVCQSCePN94CHAnGk08paaKh47cz7eMc2L37Z0cP9af2dZhsnAH2/eytufPk7TqD3OkYVH65KykkQky0WkNOJra0r48rFzIfNODo8FREWbszORZtk+VmiPdyleDRKQbzFTmZZGldVKZZr/X5ph/pb5qqri8HkZcE7SNjFG0+gwjSMD83LNeby9mVXpNsqsGQDcUJzH3zv7ODQ4OseW0eHM6ATrbOkAvLyinH91L7+oaDoKcGhgkEMDwcRnltHI9rw81mfZKE1NJcNoDFueJ1J5wZVEopVAm/D4+ObxC3x6Wx0AmWYDn965iodeODfHlpc6WoHJysOoKfGjhGktC0uKuebmG9n37AvYxyeifvyzp8+wZccVM+Zb9AbMOkNMSqBphURLEQBFFCQtqvxZBNejBe/p0uGR002st9nINvsdHC7PWUX35BD9zuV5LofDog+6eIy6Ey/5e0dZLdvzSkKey4qq8kRHN78838KkzzfL1oJwNI2N87mjJylKsVCfmY6qgsPnozrNym1lxRhkGUmSuKwqm8uqsgH//Txid9M5NInbqzAw7qLIZmFt6UwBpcmg464dFUJYtIx4fVqnouRrZY0GmW3r8lEUNeAAVJZhYXDSw8TYOBcuLFx8WVBcgckcftDGvhM9uNyLbzvcXoXeIceit090qorT+eUXbwoI1BRV5bOHmuYlKAIwad7DRu3CqWilYdBJfPD2tbzthprpi74BPIB/YKdAIBAIBAKBQLAohKhIIBDEm0Hgu8D7AW4rK+LE8Ai7++KXKJ0v/+rqZWtOFjvzcwCw6HX86PpNfObAGZ5sT7xRu9ryZ+GS9oKlEUnzsNaWNmPen1t7uaHYX+qpzJrCOls6J4aXu2yQJgma5NeDTpIotFioSguKhyqsVlL083/NUVUVp8/LgNNBy/gop4YHODs+vKS4vnPyCJ/asguzzh/HPbXlHNqz8NG+i+FXzZ2su9wvKrKZTFyRk8O+gcRrl4bcbv7a0cFfOzoC82oz0rm+sJAXFRQE5glRUeKVQAP4R0c/N5bmsqvQ77jwirpCvnGohWHnyu2v1lYXXYmXrV4KujREum+zc3N48Z23cv7MWc6easRhn4za8Ttb27h8+7awz7VMYwo9jvgJSOYi0vUS+l3m97yO2GYm9+N+yfy/w0d5ZPs2dJKELMlcU7iBP7TuwaPEp81yeINCIot+/qLn5eCemo2szswJmdc8NsH3Gs9yPgaCwJVG16SDrsmgMGJP3wD7+gf58IZ6skymkHUlScJmNWGzmqbvBoABpwuTTg4I5//jhhohKlpGPNqBO0noVLRtbQFmo45xhwdbmv8aq821UpWVwv59ewPPk+nug7NRVlkXdr7Hq7D7WPwHOiQquTYzf/j6bRg1jq1fO3aef3bM/zecSXMNjq/g9/GVSE6aie/cewVbqrO1s33A/cAj8YlKIBAIBAKBQHApIURFAoEgEfg4cDVwGcA7Vq/iwMBQUpRB+9KJ09zrqub2siLAL2741NY6tuXZ+Pyhs/NyNFkunCGiojgGcoky6Q3faWf3zByJeXhgFJfPFxhJWJNuXXZRUTI7FUlAVVoam7JtrLdlsiotLcQdYy58qord46bfOUnrxBiNIwO0jI9G/X71ovDHlrPcVV0PQH1mGqvSUzk3Fns3s919Q5wdnaAmw19a5abSkoQUFYWjaXSMQacrRFSUSG1pPEm0EmjgT3ZszcvApNOhkyQevqqOt//9ZFxjShRiUQormXArkZ0I9Ho9dWvrqamvo7+nj7YLLfR0dOJ0zCzxs6BjutyMDA1jC1NaKFVvBqIvKoq16DGS7ne26ytSTHLSPfGjS7/TxX+fOcfb6lYhSRLpxhQ2ZVdxoL8pLvGMeYKCutQEEhWl643UZQSTkk6fj/9tbuWv7Z0kwc+zpOXs2Dgf2HeYG4oK2JabTapej81knFUk3+9w8tmjDVSnW7lv7WoAKvOsGPXyJVsaKtHQOhXpksypSCdLbN/of98+eLKXG64oDQhZfV4PjY2NgXXn+6jLyS8i1ZoedtnBU31MCqFLWKwpep549KWkmIPPgu+fauX3F3oWtB+tqMjuEud6pVBXlM5/v2M7xVkhpUpPAW8F9sYnKoFAIBAIBALBpYYQFQkEgkTACdwFnADMNpOR9bZMDg8uzSVkKeiB6ow02u12JmfpkFVU+K8z52m3T/L2ump0soQkSdxakc91JTk8cuICv2teWEdQrHBovkdydXcmB4+evMDnttaTotcFOmMVVeW/GltmrHtneX6INXmfc/lLXmj7hRPducqq11NmTaUqzUpVWhprMjNmjOIOh6qq+FSVMbeLbscE58dGaBjqZ8i9tKT1Qjgw0M2dFTUBt6LbSgv4xsnlKfH4z67+gKioOm2mY5Yg+Ui0EmgAPZMufnO+m9fXlgCwqySLdKOeMffKTGRoW9OVmHvXuur0O8fwqQoGObLoU5Zl8osKyC8qQFVVRodH6O3uYaCnj/7ePjzuhZfuGB4YjCAqMoZZO7os5Wka1etlJdpkzZN/dHVzVUEe9Zn+8qT1maWcGm7D7l2+d4OL9Gmcs2RJojrNxvkluiRGgw3Z+YF72eH18oF9h+PyrroSGfd4+X1rB79v9Ts4SkB9ZjprbZlkGA0YJJmSVAs6SaZheIQ/tXUy5vEw4HThqVcC5dPuuXYVj/0jPmK5lYZX61SUZCN3NtblkJ7qfzYOjDh4ck8bOzYWkJ5q4uTJk3g1g2aUeSoKI7kUqSrCpSgCRr3M37/zMjI0bmS/PtfFj8+0L2m/HiEsXBG84ooyPnPXRizGkBTPj4F3A9GzAxUIBAKBQCAQrHiEqEggECQK54B/AbcCrEq3xkVUpAc+tKGe7XnZyJKEqqpcmLDzkf3HcCqRO2X+1tFNp32Sj2yoJ93oH11m0et4YPMqXldbwjuePk6fM7417Z2+oGOAJEnICPePaHJwYJSb/raX+gwrr60pwSjL/O/5To4NhjoQZRkN3L++OjA94HRxcCAOCSRNv3CidH9nGAwUpaRQlGKhKMVCSWoq5dbUeQuIvKrCqNtFl32Cs2NDNAwNMO6N730HcHyoj225fjezlxTn8T/n2hhyeWJ+3Gd6BnhnfSUAellmg83G8eH4JyvnQ6Jck4lGIpZAA/h5UwevqCrEotchSxIf2VbJg8+fjXdY8SGk/NnKE3Zo712vonBsqJUNWWWYdHP/7JQkicwsG5lZNurW1qMoCk0nT3Pi0NEFxTARoTSTQY7VT9/gt17aXzz81lqhljTPY0V0KkpwEfFy8b3GJr5xxRYkScIg67mtbBtPdhxixB17J0EtTp+bEdcEmSa/APjO8jq+1hB/Q4F0Q1CA1z3pFIKiOKICp0bGODUyu6OpS1E4MTTCZTl+QeW7b6rjR/8+J9yKlgGPohUVJVf5sxdtKgqZHh5zIiHh9XppaGgIWTafd5r0jCxsWXlhl508P8jIuGhLpiPL8MSjLyVP4zDzRFsf3zrRvPB9RTMwQVLwzhfX8sAda7WzFOBDwDdYmeMbBAKBQCAQCAQxRIiKBAJBInGcKVFRUYpl2Q++Ks3KZy9fj9UQbBolSaIqzcpXrtjEe/YcnnX748Oj3Lf3MG+tq2JXfm5gflGqmV+95HJu/eu+WV2PYo132uhCoyzPKpQSLI7ToxN84mBjxOVfvnIt+qkOZ5+i8rmjjTjjUL4opPzZMiYZ88xmSlJTyDObybeYyTObyZv63zJLeYfpqKqK0+ejbWKU40N9HBvsx6kkpjPKH1qa2JJTiCxJGHUyr68u5VunFt5RvFD6nW5axiepSPN3Ur+8ojwpREV6SeJb268MmSdaqiCJWAJt1O3lb219vLyqEIAXV+auWFGRtMIlcaHPE5UJr4sD/c2ssRWTZUpd0L5kWaZu3ZoFi4oUX/iya7ES1ERrt5EyPyHnNES0Nsu+VqCgbSF0Tjo4NDDEllx/iS+rwcKtpdt4ouMgg67xZY3l1EgbO/LXAJBnTmFjVj7HhnqXNYbpaN3FPKp4AicLf2zrCIiKrGYDR758G4880ch3nxSORbEk5BZJoleA+kobObbQPpdNtTmkpRo5efIkTmeoe9t8jIrKqlZHXPbcka5FxXmp88ev3U5ZYdBR9rnuQb5w+GxU1CCiXOWlzX23rOa+W+q1s/qBNwOPxyUggUAgEAgEAsEljxjIIBAIEonAsNjlHkn9plUVfO2KTSGCIi3l1lReU1U6534GXG7+83gjHzlwjKbRYFLCotfxsctWRS3exeCdlmAy68UjYLlZb0ujJiOYVP3fC+2cHl3e5NVFVE1XZSyuBAkoSUnhRfl5vHFVFZ/ctIEf7trOI9u38dEN63hL7SpuLS1ha24O5VbrnIIiVVVxeD20T4zxbHcbXzq+j08cepbvnznGvv7uhBUUAbgVhYah/sD0raX5lKSYl+XY/+jqC3wuTEmZZc3EQAJeU1UV7zASmr+1twUEAxdLoCUCf7oQLPVpNerZVpARx2jix0ovf6bTvL95pzKtHtXHsaE2To904fItrK2WJAmTeW63Oi0jEcSTVsPC9jNfQt2DYvBXj/BOvJgjJVG+O+Y8fOIkz/X0BdpTs97IzaVbsRmtyxrHmZEOxtz+6iSSJPGqynqMcXY70UvB408flCBIXBqGR9ndG3zftBj1PHDHOp7+1Ispz12YqFMwf5LVAO5Fm4tnzCsrTEdRFI4fP86Ey4NHI1qfS6xqSUklN3/mPgFausbo6l9eJ7hk4Beffwn1VcFyrYf6R/jk/kZ8QhgsmIMwgqKzwHaEoEggEAgEAoFAEEOEU5FAIEgUaoF3XZyY8MS+NBBAml7Pw1s3UGYN7Wj9Z0c/3z3ZwsNX1FOT6U8u3F1Vzu7eQdrsc5clPzUyxgP7j3Lf2lquK8oHYHtB1hxbxRbPNFciU5LZs18K3Lu6POA40ONw8svm9vgFoy1/FsXe8ByTiTvLSrkyL4cMo3HuDaaHpaq4FB/jbjf9zklaJ0Y5PTJI12T4cjbJwv82n2KtLQedLKOXZd5cW87njp6J+XGHXMHyb7okyHrcUlrCLaUlIfNG3fEvYZdIJGoJtKZRO81jdqrS/c/TN60rZn/PaJyjWn6kFV7+TCtG8E177+hxjNLnGKMgJZOSFBupMRL5+JbZuUsrhF/KXzzS9RJa/kyz/ixHi7QsCR4Dy8o3TzUy5vFwS0mRX8CmM/CSksv5U9teJr3LU6ZHQeX53pPcUroV8LsE3V21jp+cO74sxw+HXhvAeE0AACAASURBVNaKioRTUTLx6Gm/K9EOjWtuWa6Vpx56Mb94rplP/OpYvEJbGSTJY7+8MI3SgpkCSkmC5uZmxsfHGXZ6KbAGXcvmeqUprahFjtC/8PzR7iXFeynynY9dw7b1BYHp08PjfHTvadxCyCmYg/tvWc37QgVFjcD1gLADEwgEAoFAIBDEFCEqEggEicJ7AAv4O6//2RV72/8rcrL48IZ6jLpg59ek18fXj53n8Ta/u8enDp7hh9duwqTTIUsSX9iyntc/s29e+1eAxzu6A6KiVL1u9g1izPSRxuY4x7MSybMEE6jnxibwxLHTMKT8WZT2eW1BPm+pXYVJN/u15VMUnD4fEx43Qy4HfU47nfYJWsZHGXI7Z902WXErCnv7uthZ4BfMXFuYw6+aOzg7FttRu+XWoDuRM0JJoERibWZmyLTD6+W+vXviFE3ikogl0ACe6xoKiIo2569MpyItKzEtpBUvetSZbY6CStfkMF2Tw1j1JvItGeSY00jRL1yEGglb9vK6d8lap6IlCMnmVf5s3juLuLeF7+sS50dnz+NVFO4oK0GSJFINZm4o2sxf2vehLJMwsHtyiMaRdlZn+l1R6zNzMMoy7jgJerSiIlH+LLlw+hS+2tDI3zq6eMOqSmoz0gF/O/K6q6q5fn0Rb370eZq64+OUekmShM3qizYXhZ3v9SkcO+YXnk2XB83WGhoMRgpLKsMu6x92cKYl8csvLyeff892Xry9PDB9YczOB3efZNKb+L/VBPHli6/dzF07KrSzTgNX4y99JhAIBAKBQCAQxBRhUyEQCBKFQAZoX/8QzeOxTbS/q34VD25aEyIoahwe5y3/PhIQFAG0jDv41okLgekMo5GPbggZFTQrWpcQSZLiquScLmAx6cQjYLnRXte78nP48tb13L92Fesy05c9Fu3VsNRygxLwplVVvLO+LkRQpKoqHsXHgHOSE0P9/LGlic8deYGPHHiahw4/x5dP7OMHTcf5c9t5Dg/2XrKCoov8sbUJj0bY85ba8lnWjg4bsoLCjvNjYzE/3tIJTc5/4djROMaSuCRqCbT9fSOBz5kmPcYV+JiJeSmsBEcnR3Yqms6E18X58T729Z/n2FBk575ouenFzHElagnluZ2K5r2nCJfeCrwl58VPz1/g+b5gPi7XksEVuauXNYaDA2cDnyVJoiglbVmPr0WUP0t+To2M8eDBY7inCY4LbBYef/AGPnPXpjhFdukhRUlYulzkZVmoqwj/3tjV2cngYAT3y1m+Wkn5KvR6Q9hlzx8V5ilaPnrPFl59Y01gutvu5P4XTjLqTtxS3oL4Y9TLfP7uTdMFRQDXIQRFAoFAIBAIBIJlQvQrCgSCRGH/xQ+lqZaYHcSq1/PdHZdzc0lhSJLmF2c7ePszx2mfmClq+MOFHp7vHgpM78jL5tWVpfM6nmuaM0idLX4JAt+0Tk5R/mz5+c+j50I69zdkZXBzSQFf3raee2srKE4xL1ss2k7vpeRDzTodH16/lls1JatUVeXQQA+fP7qbjx14hoeP7eUnZ0/wXG8HI+7lKSeSiCjAv7tbA9Pbcm1sy42dGEQGqtOCTkUHB+JfImsutLnzff19tNtjKzBNVi6WQLvIdcU5cYwmyMmh8UCpTUmSuLEid44tLj1Cy5/FL454odecAG8Yp6JIOL3RK3MYKanrVmKVsEs8m4qIie3ECzVh+ObJxpBnzhpbGQWW5RNsGuTQoQd27/KUgg6HVhzoXYkN2SWCAshh7nlZknj9VVUcePgWNpYnhig5mZGT7Lm/c1N4lyKA06dOBD77pn2XSEJpnU5PSUVt2GUTkx6ONw0sPMhLlPfctYG3vnRNoB9q0OnmvhcaGHCKUs+CyKSZ9fzwnTu4e+cMN7A7gJ44hCQQCAQCgUAgWKGIjLJAIEgUnrz4ocyaypW52VE/wMasDH581TZKUoNJ9lG3hw/uPsmjDS2zdpp/8fDZQGePJEncXVVGin7uJnTM46Vr0hGYfk1N4RK+wdLxaEbpm4VT0bIz5vHygb0NOKZZm8uSxKsqS/jvXZdzT03s3WtgWvmzRbpA5JhMfPayjVyeE7xf3T4f3zx5kF+eP7WiBUSR+HtnCw5NovC9aypjdi9mmY0hzlFHI408TlCSIC8TV/b2BV31LpZAizduReHMyERg+ivX1nPojTt54bVX8o9Xb+X/XnoZP755PV+7tp4Hr6zmPzaUcltVLpfnp1NsNSXUDxOrUaYqw8Ka7FQyjaJi9HwJKZukLKCMxyUidllKu7XQ8mfSbCctwjutfKmc6BjxsQNHQgYEbM0NnyiPNhISO/KCTqiKqjLonFyWY4cjRBwYpxJsguigdSN9vL0n5DdIdpqZ/3vgGr55z1bEWJPFEy03veUgLdXAptrwQnSr0U1/X7AE/YTLGyKUjvSQKiypxGg0hV2253gP3unqpBXKm2+v577XbgpcL6NuD/e/0ECnPXpOvdPdh+dyjBQkPhkpBv7nPTvZURcyUOM88Argz/GJSiAQCAQCgUCwUhE95AKBIFFoAv4C3Abw8ooS9vZHLwF+T00lLysvDun0axga45P7z9DrmFv4MOL28JE9p3js6g3oZRm9LPPRDWv45OGGObc9NDBEUVkxADWZ1sV/iSjgVVQMU53GRo3YQLB8HBsc46bH93BnRQFX5Nm4Mj8L3dR1KUsSr6kqZcDp5s/t3csW02K6wmvT0/nQ+jVkGo2BeaNuF187sQ+7V9i3z8avmk/zppr1U+VNLLx3TRVfPnEu6seZLl7LtVgYHx+P+nFiRaElZe6VVjB/a2/j9rIyJEkKlEB7uiv+wrGGwXHWZQVLOqYYdKQYdGTNY1tV9Y+D9yoqbp+C26fg8CpMen2MubyMuDwMOT04PD48ioqiqiiq34lPmfrnU0FR/P/7VAWDLKOTJfSShE6WkCS/sEKS/G2fTpYoSDVRkmYmP8VEukmPSSeHJGZUVcWrqjg8CmNuL4MON10TLs4O2zneN8bhvjEc3imHJu33icoZTS4MmrJJC3EGmk0gs9ByMpESvLH6e0QrnRzpe2q/z3y/g3AqWhxOReHHZ5t5+2p/aZo8SybZpjQGXbF9du4qWEupNZgwPNjfRTxTwbLmPp7udCpILrS3/J/auvjf5nbet3YVW3L8DkWSJHH7llKuWVvA+364j2dO9YXfkSAiivYeSfA2dvuGQuRw9lWAOtkR+Gx3exl3e6e908xsCyRJoqwyvPjS5faxv0GYqAC88oZVPHjv1sDz3O7x8oEXTtI8Fl3xqH7a39bpXoC4W5AQmA06XrW9jJs2FbO9Nqzj60+BtwLxszMUCAQCgUAgEKxYhKhIIBAkEp9hSlRUl5GGRafD4VtaR0iu2cgXLt9AQUpoSbVfn+uc051oOo0jE/y2uZvXrPILhDZmZaKXwTtHr3/3ZHD0Wbohvs2uVwl+X+FUFD8U4PctPfy+pYeyVDMf2ljDhqx0dFMdge9YXUmaQc8Tnb0MuWJjhx7qVLSwbXfl5/HO1bUYNMOaW8dHefTUobgmwZKFhuEBWiZGqUzLBOCmknxOj4zzl/beObZcGHavj0Gnm2yzX/hVk55Gc4KLirQitXGP6CudDYeiMOB0kmvxP9+uK85JCFHRiaExXkPxoraVJL+0xKiTMCbQM0qSJAyShMEkk27SU5JmZmMe3Iy/s/+igMPtUzDpg4LdSKVCLlVMOl1I2aRxz/xH38/2GFKUhZ1HrSBCy0LFSfMlJPZYHCPCyVlM7jrB890JwT+6unnjqkosev87e7k1P6aioqsK1lGTEWwzx90uft/aGLPjzQevxmXMICxsLhmcPoVep4sHD53khqK8qd8bBgDSLAZ++K6dvHCmj3c8todJt3ijny9aUdF0p5hEwqiX2bomP+yy1aUWDrzQHpjuHps56Crc0y2/sAxLSvhBUwdO9gpRC3DzjnK++N4dAUGR0+vjgT2naNQ4e0aL6aIih0fcx8nEy7aV8tGXriM33RxplW8D97Eyxy0IBAKBQCAQCBIA0UMkEAgSiUOAG/wdcrnm8Dba8+X2siK+v2tbiKDI7vHy4L7TfPPEhQUJii7y48a2QAkxWZLYmRvePlyLS9MxP72jZ7nRlj9LpITtSqbN7uR9u0/wtueOBhKeelnmTTXl/OyqrXx68xpeUpy/5PthOqGDaud3XUrAXZXlvG/N6kCSSVVV9vV18m0hKFoQjzUexekLuni8d00VGzXuLtHArJNJ05RtSgYHqUFXMImx0gQZi2Fvf9BRYEdhFsYESP42DIUm3//QeoGfnWvi960X+EdnB3v6ejkxNEjz+Bh9Dgf2S0A8JkkSkiSFCIogNvqSRCZVbwiZHnMvQFQ0SyJWXWD5DinCfRC7NmXhTkLhWGj5s9mOFdH1SMiK5sXpkdHA5zxLRsyOc0VuXYigyOH18JUTe+P+PqW9TlZaO3YpoSe0/dD+9v1nVx/3Pn+YZ3v6A/MkSWLX6nwOful2Xr6tbDlDTWpUzQ2bwJoiNtXlYjbNdCrOsBqxD7cFph0eH0OOMINawrQFZVV1YY/l86nsPr58rruJyra1+Xzzw1cH7kOPovCxfac5NjgWk+NNv/wUUf4sKdhYbuMH79jOV9+4ZTZB0WcQgiKBQCAQCAQCQZwRTkUCgSCRUIBxIBvAtATRy51lRby1tmpGubPPHmyiYwl168c9PnomXZRa/UKlt9ZVsynbhjyVUFRVFbvXi06S0EkSelmmSCNq0sW5p1HbmbyU8yuIPk2jdh49eYF3ra0MjHLVyRJX5mVxZZ6/cFDPpJPftnTyl/buqPYmzeeyNMoy766vY3te0IZbVVV+39rE7t7OKEazMvAqCt89dZj71m1FnmorPrV5Ne/dc5yOycW3UVruKCsMiExUVWV//0BU9htL3Fp3OtFlOiePt7VxW6m/BFqKXsf2AhvPxNmtqN/hpmfSSUGKv1PcKOt4qrt11m0kIEWvJ0WvJ91gxGowYNHpA/NSL/4zGEjV69HLckjZyIvlzOBiaTN/SlyS/AlxRVVR8JdKCwhLVP8lpqgqkz4vA04nA04H/U4nA04nQy4Xdq8HRVXJMZvJNVuwmUzYjCZsJhM5JjO5FjPZJnNEZ4IhlyMKZzR5mF4yTlmANGI2sctCk2JyBFGREiunoqi92s1d/mzeexJKkCVxenSMy3KyAcgwpsbkGOts5azLqghMXxQUORdQNjBmaC45IfBNXoz60LbQN60tHXF7+PyxMzzV1c971lSTMzWAwWzQ8eU3Xs5brlvFf3xvN90j0XkvvVTR3iOJLCravrEw7PzSXDMHXmgKTJ8btM/rrs/KKSAt3RZ22dGmfsbtyS8aXwrVpRn85LM3BsrNeRWVhw6cYX/fSJwjEyQKq4vT+cabt1JbOGNgkRP4GfBSwAQ8ADy2zOEJBAKBQCAQCAQzEKIigUCQaIwyJSqy6hfXRBllmTfXVIaMCPvB6TZ+cbYDXxT6xb2aDlmbycgNxQXz3jbeoiKfpoRIIjhaCEL5VXMXe/uGuX99NZuzMwLl0C5SkGLmPWuqSTfq+fn59gh7mR8hHeBzrGszGnlg/VpWpacF5nkVhe83HuX8uOgYXSydkxP8uvk0d1XVI0kS6UYD962t5oEDJ5e87135Wby1NjjKvGViAncSjFbVJs99IpE5Jw5FYcDlJNccLIEWb1ERwInB8YCoqD4zc871VfxOWnavl35n4iUvexwOehzhBUI6SeL7u64OTDePj9A7OUnLxCgtE7EZiZ6oyEtwwZlNOLNQUdFiRDiJQCQd0KLchSLsLM6GmUlDn+Z+N8rR7zKpTivkirzVgWm3z8dXTuxlwhubkrcLRTgVXRoY5VBXmkguvXv6hzj2wij31lZwa6lfeCJJEmtKM3n2szfzs2fP8+nfHI95vMlK6GlNzEa2pjSTnMzwDig9XS14p9xMhybdTHqCAv/Z2oLyqtWEQ1Xh+SNdS4w4ucm1mfn9V2/FoHGw/M8jZxPiHV0QfyQJ3n5DLe+/rR7DzIF+zwGvA9qB/1j24AQCgUAgEAgEglkQGWWBQJBoBIrLm3Qz7bnnw+bsTPQawcx7njvBT5uiIyiCpQmDeh2uuVeKIdq0nEgsJSatEw7ev6eBG/7yAt852UzzmD1EyAbwsvLiqD7AZ0tYVlhT+cLlm0MERXaPmy8e2y0ERVHg4EAPz/UEBWKX5WRSk754V4RtuTa+um0dn76sPtAOKqrKd043LjnW5SDkShSJzHmxty9YAm1nwpRAC4ppCiwpcYwk9vhUFZ8m0/Z4ezO/utDIvv6VV/YjkmPTfNBJ0btuI4URK8eVkKRrjBuu+Z7hyHGIl7/5YNWU8vOq0RXkllvzuKpwXWDapyg8cupAwgiKIPQqEU5FyYth2vuAbxaF2KTXx7dOneeD+4/Tbp8MzNfJEm+6ZhWHv3QbV6/Ji1msyYz2rCZqC7t9Y/hBUIqicO7s6cC0V5nf/Z6WYSMrJz/sssaWYQZWsLtVilnP49++kxRz8DnynYYLPN7WN8tW0SJRr0DBRVKMOn7y7p18+M610wVFp4BbgavxC4oEAoFAIBAIBIKEQzgVCQSCREICArWVnNoyOHOQZTRyfVEeG7IyWZ0Rah/cNGKPWoBASLbK6fVxengCFX9HrV6SSDXo8Cqq/5+q4lUU3IrKgMPNd062RDeWBaIt/bGU5J8g9niBX57v4pfn/SM9byrJ5cHL6gBIM+jJNBkZci0+ATWfLuOtOdm8d81qzBqBX5d9nG81HMK7gLI2gtn5U9s5rsgrwqTzv5bdUJTH2bELC9rHjUW53FVVTGVaqCBJVVUeazxD5+RkhC0FyU4ilkA7MTge+GzW6TDKclI4ZUWDlezqsZS3ClGuK7J4I5Lz0mLEHuLNb36ECqmjlxzPNqVxTeEGZClYmvRHTUfpdUb5t8oS0TplRnK3ESQ+vmkCkfn89msYHuOdLxzhlZXF3F1VGhjkk5lq5Ifv2smh5kHe9r29jEwmjggu3iia85yIP6+zM83UlIV3jezv7cQ1PoEtze9ipJ/nqKPyyvAuRQDPHV65ZbFlGf767TuwpQddoX59rpOfn43POZmnRkywDFiMOt5+Yy33XFNNmsWgXTQAfAF4BFjZNQMFAoFAIBAIBAmPEBUJBIJEIh8ovDjRMjF3B3uFNYUPr6+nJNUSMemSYdTT74xex+e5UTtlVn+pGZNOxquqfPCFBtxJkC/VioriXYpNsDAmvUGRnU9RGXXHts/pZeWl3F1VGZhWVZVjQ3387NzSS3MJZnJmZIgN2f4R4DUZC3MqWm9L56Mba2fMn/R6+fapUxwbGo5KjILEZHoJtOsToATauVE7HkXBIMtIksSGrCwODgzENablYiW7eixFrBxp24WWPosH0XqbiugttIjzGkmkJVwq58fGbFvg84ArOmUMLToj1xdtQj9VkkpVVX5xvoGz44n3jNZrnMM8SXAPCsLjVLwh0/p5tiUeVeWXzR081d3Pu1dXc0VeFuBvi7ZU57D/4Vv4w/42vvrnU/SOrlxHmotof18nYvnNnRsLIy5rb2mi2Ba835Vpzw7/O43/O138apaUVHILSsLur7V7nPbeibDLVgK/+8qtlOYHRan/7OjnWycWNlBEcGlhNeu5ZXMx735JHaU5M37jPwXchV9YJBAIBAKBQCAQJDxCVCQQCBKJwK9sRZ1bNPHBdXVcXZA7a+fd0YFRBqMoKAL4eVMHuwqyMOr8ydKteZk8eft27nu+geMad4ZERNtPKERFycXVhTmBzxcm7LOWMFgKBlnmXatr2ZkfLHGgqiqPtzfz7+7WmBxTAG32sYCoqDjFPMfaoYQTMTSNjvLH1jbOjyV2mzQbK1easXD29vVxe1k5ADeU5qIC/+joZ3/vMO44DFP2qiotYw5qMv2P9dUZmZe0qCikVNAKvnCXkky9KLSYjtOx8IS1J8L7o0FaXFndOdF875j8+aMoKhJeRXNTl5GGzWgMTLdNLL1kTarezE2lW0gz+stBqqrK4x3nOD68HOVwFo5OiIouCZze0L/d9HJoc9HrcPHJI6fYnpfFu1ZXkWeZcrPRybxyewWvuLKcjsFJ7v/Rfo60JJ44brnQOkJJCabcTDHr2bw6fNm6sZEh9IqdVEvQ5dnujuwUffFRVFpRixzhWnruSNfig01yHvt/17J+VfD3+oG+ET53qEn8nlmh6GWJN11Tzf231pNqmpF6UYDvAPdNfRYIBAKBQCAQCJICISoSCASJRO/FD7IkkWc20et0zVipOMXCF7dswGYyhswfc3s5OTTG6eEJWsYnaR13cH7MHvWOnMaRCd7/QgOf2FJLwVTy36LX8ciL1nPDn3YntGORTzgVJS2lU+5YAGfHYjMC1GY08sD6tSFlP7yKwo+bjtM4OhSTYwr85JiDf98h18JcqBqGx2kYHmOdLZgUqM3I4IEN6wH/fT/udtPrdNIz6QD8iQEZCVnyJ8EVFRRUVFVFUVXcioJHUXD5FNyKj339A/Q7Yz8aXRIJ70VxsQSaR1Ex6mRuLM3lxtJc7B4ve3qHebpzkD09Qzh8y/eAahmfDIiKSlLT5lj70mFFOxUtZeMIIpjFCJXc7vBi8lSDacH7mg+hES7h7x/FcxApDNHCzs1ba1cFzvmo206nffGCSJ0kU51eyLbcOky6YLmT0yMDPNvTtuRYY0WoqGjltmnJzvQn/mL1Lnv6hjgyOMLrqst4eXkR+ilBiSRJlOak8psPXsNDvz7Kz59bmY4s2vJnCaYpYtu6fPQ6f1AVRemsKs1k0ulheMxF27kLUJIeaO98isKQI/Q3iKLCRTmuLEnoDQYKSyoJR/+wgzMrVFz26XdewfXbygLTZ0Ym+Pi+08veforuncRgZ10un7lrE5V51nCLvwF8FehY3qgEAoFAIBAIBIKlI0RFAoEgkZgAmoEqgMo06wxR0asqSnj9qoqQMhmjbg/fP9XKX1p7l63j5ujgGG/81xHeu76S2ysKADDqZO6uKeEnZxK3f0Db0TTd3lyQ2ORagsnQ/jBiu6VSnWblgfVryTIFj2P3evjmiQMMuUVpg1izzpYb+Nxmdyx4+683nOeR7Ruw6Gc6cegkiUyTiUyTibqMjEXFd3dVFV87eZJDA7Etq6Vto1ayOGOhTC+BdpFUg54bSnK5oSQXl8/Hvt4Rnu4c4IWeIcY9kUejR4O2ieB1nG2KjZgjEVnJV+1SnIqiWforI8s290oxYimvVgvddDYRZiSnIpFwnJ1cs4lKazAJ2DDcuuh7usyay4vy12HWhw6CODM6yE/OHV9ClLFHp1FGCKei5CVFHyr1dC9BWOz0KfygqYW/d/ZyR1kh1xTkkm70C+VkWeIzd21iY7mND//s8JJiTkZ8CVr+TK+TuHK9v/RZbXkml9fnTy2xkJNu5+BzHYF4FVWlZdgx6zUiSRKFJZXo9Yawy58/ujJdit75yvW89qa6wHSn3cmHdp8MKV2+XEy/+kR/z/IiSXDfzat5z02rkUMVhsPAr4FHgRNxCU4gEAgEAoFAIIgCQlQkEAgSjRNMiYrKrCns7fcnsPUyfOHyDdRnhibE9/QM8YXDZxfs7BEN7F4fDx85h81kZFdhFgBX5NsSWlQka7qaRBdT8lCbkUq2KdiB2zTqdyp6WXkRNxXno5Mkhtwehlwu9JKMoqr0Ol0cGRzh8OBI2H1qE44vKsjjrspyjLqgIKXbPsE3Tx3EK5JJMee6onKshmDS8V9d/QveR8vEJO/Zc5zbSvMptVootJjJt5gCo8mXiiRJvKS4OOaiIsHi2dfXx21TJdDAf49rk1smnY6rirK5qigbr6JwsH+UpzsHeK57iOEYPEM77UExYqohfALqUiRy2alLH90SyoBFEhEuJj+ri9DuTXqjWw73IrF2WJMXYX0RUVQkvIpm5e11NYF20+l1c3a0c1H7yTNncF3hppBrUVVVDvR38bvWxqjEGku0gzfEe2Dyop/mHxcNiUO73cGjp5t5rPECLynO5x31VRhlf0nwV26voL4kk1d85Wnc3pVz3Xh9ielUtKE2h1SLv8t3VUlmyLKGhgaUqXvb4fHRMjzJmMs75z5LymrCzrc7vBw7c+mWuY3Ey6+r5gNv2Bx4bgy73HzghYa49E1BGFGRcJpbNixGHT997y4uq8zSzlaAHwEfBVbeDSIQCAQCgUAguOQQoiKBQJBoNAJ3AlSm+cumrEqz8rnL15NqCDZZLp/Cdxou8Nvm7rgEqaVL4ypiNcx0CUkoND1NvhWc+Ew27l1dHuisHHC6ODo0wt1VJby5piKwTmmY7V5dWcKB/iG+fer8DNcvTf83FZpR+aqqcnSwj5+fPxnNryCIQE26jZtLqgLTjSPj7O9fXOmAlolJHjkdLD0hA3kWE5VpKVRaU6lKS8FmMqKo6lTJs2AaX5b8yWadJKGT/El5gyxRkx68NoxREijNRnVasEyWaKIWxuMdHdxaWhZoK37Q1Ei+xcIVufnkms0hAiO9LHNlvo0r8208oKocGxjj6c4BnukepN8RHeFF32SwzVmOaydRWMmXrbZk0kLPRDSdiiK1HTETFUXJYW2h2866fkRRkSASZllmg8bl6tRIGz51ccKIqwrXBwRFqqrS75zkdy2naZkYjUqssUY7CMErHsZJi3uaICyapa+9qspfO3q4MGHnE5vqyZoqS762NJM9n7+ZO/7z33QOTUbteMuJUS+zpTqb0cmgMETC39ZLSEiyf1qWJAx6mdrCdM3WidPK7tpUFPjs0Yi8PB4PxxtOMu7y0G93M2B3z+vpU1BYQkpq2HJO7G/owbfCBCzXbCnm4fftDLynTHp9fGj3KTrs8XT4jVpBVsECuPWyYr7yhssxhfYFngVeDRyNT1QCgUAgEAgEAkH0EaIigUCQaOy5+GFLThavqy7n1ZWlISNmW8cn+cT+Rs6PJUZHpba7NtNo4NXVlO2lcAAAIABJREFUhVj0OgyyhCxJyIAsy7RPOPhzS2+8wgRCkwSilyl5qMkIduA+3d2PXpK5qzKcjGgmW3Oz+K9dGfzsXBt/auvGNZVgCDeSVlVV/tR2lud6Etdt61JiY1Yer1u1NuiK4PPx1YZzUdu/AvQ4XPQ4XOzpW5xQ6UPrVnFzaf7cK0aJIZcL21SpLDmBSkgkA5NeL4MuJzlTJdDW2bL4rzOn+X1rC0ZZ5oaiEnbk51NgSQk5tzpJ4rLcDC7LzeADm6ppGBrj352D/LtzgJ7JxZdaHHQGBRyX+l9S+/2EU5GfBZ+GCOsvSlS0zC840XL/mY+wKuRaW8xBLvWbcQncU1sdaBu9io/TI+2L2k+6IYUMY2pg+k+tTezuT673Ku01J8rnJC9epouKon+MUyPjvG/vUR7avCYgRLdZTTz10It522O7eeZUX/QPGmN+8M4d7Fydt6htE+XVtaY0k1xbsCRua/cYOVPTZ86cYX9LPwuVTFbVrMYexsxIUVT2N8S3j2O52bw6l8cevC7gJOhRFB7cd5rGkYm4xjX9+hNOc7Hn/ltW875b6qfPPgJcA4wte0ACgUAgEAgEAkEMEaIigUCQaDyB/8d3ulmn4zVVZaEL2/r4ytFzOHyJ00Gi7WzPSzHxgU3VEdfdUWDjY3vjV/ZA29GUOGdQMBc+TYfgKytL2JWfg0XvHwmnqiq/bu7CZjSQYzbiUhT0kkS9LQ3rlLuXWafj3rpK3rCqjBPDYww6XeRbzCHH8Cg+/rvxGOfHw5dLE0SPktQ0XlW5mqIUa0ji7qsnztE8nhhiyYuk6IMjLie9c5dFiCYe0RG+YPZqSqBtysrGIMt4FAW3ovB4RxuPd7QhA9cWFfOi/AJKUq0zxFvrstJZl5XOe9dXcnp4nKc6Bvh35wBdCxQYDbs1I/wliSyjiSH34kVKycJKTr9rr6Woue4syqkofn+FJR06krvQ1Dkw6fTo5Pk5YkY6ByvHM2zhXJYdLFlyfqwbp29xzlZ5lmCZIY/iSzpBEYReJ8LZNIlZpteofqebD+4/zofW1XBVQS4ABr3MD9+1k6/95RSPPnFmeQKJApV51kULigDcnmgUmVs6OzcXhkwX5fkFX4qicOTYsQW/q2RlZZGbW4C9e6ZG4sS5QSYc8Sn3FQ+qitP5+edfgk7nbykVVeUzB5vY3xf/39DTn/Hip1Ts0MsSX3zdZbziirLpi54A3ogQFAkEAoFAIBAILkGEqEggECQaLuBfwMu0M51eH1873sxfWxNvFJx9AZ2HG7PT514phmgTfost6SBYfv7VNcBrV5UEpgtSgoKgTruTR05eCLcZ719fxUsrCgN/d5NOx5Yc24z1xt1uvt6wnzFPbErDCPxsySngppIqMoymEDGRT1H58omzPNU9EMfo5mY50opWgyHwuXUivqN9kxFtCTSzXs86WxZHBkOvKwX4V1cn/+rqRAZ25hdwdWER5anWQLmei9Tb0qi3pfHu9ZWcGZng350DPNc1xIV5iN8m3KEitCyTWYiKLnH0UvQlK4txKkrW0l/TozbrjGQZUzFaZIpSbDPPxazVzyL6Hi0lxEsavab963cuvkyZRW8MfLZ7kzPRHvKOIkRFgnng8il8/tgZLoxP8qYav7hZkiQ+cNsaNpTbePtje+Mc4fy4YUOoGCesU5ca/E9VVSRJQjflWNMzGP/BAXlZFqpLMgLTFUXpFGSnANDS0kJb79CC31U2bNjAoCP8st3H4l+OfrnIz7Lwh6/fhlFT5uqrR8/zVGdi/Iab/p4gmu/YYDbo+O5/XMHVa0LcfE8DtwHN8YlKIAhFkqQc4OXALmAjUAhk4O8OGMZfom8f8FfgWXUl2+0mMZIkXY9fzKjN8XqAy1RVbVjmWF4P/IRQjasHeImqqv9ezljmiyRJ1+E/f4a51l0iP1BV9d5Y7FiSpCagZtrsf6qqemMsjicQCARCVCQQCBKRQ2hERa3jkzy4r3FeScx48Le2PnYVZlFmteBWFFw+Bbei4lNUFFWlOiNYAiHelujaN3tF/GRMGr57qoUNWemstaXN6Cx8siNyWYGvn2jmf8938sVta6hKS4mYnP3S8T04fIkxsvZSZEtOAbeX15Cqn/k7tWvSwTdONnNoIP6jW8OhlR4uR/OlFRUNuZzLcMRLi+kl0Lbm5M4QFWlRgOd6e3iutyew/vVFJVSlpYUk2AHqMq3UZVp5x9oK2icc/LtzgL+399McoRSpAji8voCrWpoh1v00icFK7o/VyYt3KorEos7nMr9sSUtwaNKSojOSb84gzWDBqNMHS3F5vWGf37MdKVIc8X4PXQkYpGAXS7KWntGWMnQlkDusYKnEvgH4RXM7rROTfHh9LWa9DkmSuHFDEU899GJuf/gp7K7ldb1cKDduKAp83ndhkLv+a24x1EO3reGenZUAuNzx/z21Y2OoMGpLfV7gGbLv0BHaRxf2fp2SkkJ1dTUDDTN/c7b1jNPVb198sEmENUXP44/cSYo5+D772MkW/tDSE8eoZkcVg8iijkEn8Z17t00XFD0LvAJIDHWZYEUjSdJq4CHglUTO+xVO/bsKeAA4K0nS54GfqqLhWHYkSdoF3KCZpQI/V1X13Dw2L2Xm39kA5EQpvIWwipmmeQagPA6xzJcyYi8oAv+5iRXTBUWR5gkEAkFUEKIigUCQiPwA+NzFiQf2nKLTnrjJ5V6Hi3ufPhZx+a3l+Xz8Mv/7nD7O2RytU5FXqIqSinc+f5yyVDP31JWxKScToyzxTPcgP25qn3W77kkXb376CGZZ5rbyAu4oz6dimsDobas3873GI7iEsCiqZBpNvL1+M7nmlBnLuied/L61mz+1deNJ4HtRm9CfXiYr2ugkiVR98NV0wJm47X4iE6kE2nw4MNDPgYF+ADZn5XBjcQnV6ekYpgmMSq0W3lhXyhvrSmkdn2RPzzAH+0c4MTjGuMa9z+1TAqIis25+ZZuSncS9m2NPSPmzBZ6IiK1LFEVasfrbLLZllJGpyyxkdXoBeZYMDLIurHgokiB4VsFVkro1xRPtKVvKedIKupL1fGvvZbcQFSUtXoJOOgAGeXmuyBf6Bnn//uM8tLmegqlyyxV5VvZ84WZe9dVnONOVmFWB8jLMbKnODkz/bG9rHKNZHKkWPZtqcwPTpflpGKZcdfr6+th/pmXB5YXXrl2LTqcj3FN099GV4VJk1Ms8+ejLyLCaAvN+da6T/2lKrPKW0+/wJNW1JjSffvUmrllboJ31G+AN+B3XBYK4IUmSDvg48EkWnu+rAX4MvFOSpDeqqtoU5fAEs/MR/E5nWhTgs3GIRSAQCASCWRGiIoFAkIj0Ag7AApBu1NOZxAPgnN5ggnV6aZnlRtuXLMqfJR9tdiefPry43/dOReG3F7r47YUuyq0WvrVjPVlmf4mOUms6r6law0/OnohmuCuaHfnFvLS8doYQp2F4jF83d7Knb4hkuAN9yygq0gqKAO6preNXzec5Pjwc9WOVpKRwW1kZZVYrMhJeVcWnKHhVv8OcovrTwhc/nx0b449tyZFcmk8JtPlwZGiAI0P+7TZmZXFjUSnV6emYpomDytNSKE9L4TU1xQC0Tzg4NTRO06idDFNw0Jd+mZKZ8SZaDj3JiE5T/mzh5yF618eiSqYt5XhoxVSzf+8CSwbrbaUUp2Zh1ZvmjNXl8zDudjDknMCteMk1p8/rXTJSHFLSylyWA62qaPHnyeULljwz6ZKzu0XWXCcuJXaC88q0VF5dWUaBxeI/4owSf+pUiSnwoaJqns0X50uSv/WQkJAl/7uKTpKQJcm/rqLiU4P/vKqCR/H/8yoqsiQFnvVeVUVV/a5reklCL8v+fSIhSeBRVMbcHtyKglvx4VP8gp2L68BUSSzUUJHa1NfS3n/StGVTXzfw/XxT8Xg17yba5V5Vwaf41wH/b7yL50Cainf6/W5cxt+hzeN23rf3GJ/YuJr1Wf5SXFazgb987Do++JOD/OlgYokxAHbUBcU4Xp/Cn4/PTzAT+reObxu7bW0BOl0whqqSYOn15/cfYmyBTlF6vZ41a9aEXTY85uLUhaHFBZpk/OVbd5CfHRwk8re2Pr59Inz58Xgy/fJLht+aycStlxXzmp0V2lm/Be4GxMgsQVyRJMkM/B9w8xJ3dQWwT5Kkl6mq+vSSAxPMl4Iw81bGiCyBQCAQJB3J2cslEAgudVTgHLAeINds4jQT8Y1oCTg1I3wTyqlo5eY9VzytEw5e9vf9/PCazVSn+8vzrc/KZa0th5PDwrV7qbx+1Vo2ZuWFJBbOjk3w/cYWDg2OxjGyhaMVFeli3H5NL49VnJrKB9Zv4DNHDtM8Ph6VY+zMy+flFRVkmeZO5mtZl5WFJMEfWhNfWLTQEmjz4djQEMeG/ImjCmsat5WW8f/ZO+84ucpC/X/fc6Zu7ym7yaZXAgkhAUIJvUkTuderiIqKYgcseK+9XZUfCoqiFwvKtaDglaICUhUSQgkkpIeUTU92s71NO+f9/XFmZ87MzszObJmy+37z2eyc97R3Zk+b933e51lUWZXQfWhaiZdpJV4ujiufKGKGCZx+FvOMY46SVdFoxsllQ/AVvwev5mJJVQOzSuuocpcMKQgKmQY9QR89IT+9IT9BM4RpmvQbASD2Y0r1fpKKiibGaThiRvIxDfytAFxaYfYH2O+PX1p6QjTe2TDwmyYBw8RvGuHI59hyS3BjiXaSTQsBSyoruHxafUxsomJscevZHdzSGQjyhdc284lFs7m0weov0zWNO9+/giWNlXz7z/k1mOG0uVFR0cH2/rTXsw/UyeXhrGuClSdMipmeXG19z+vp6WHj9rcy3ua8efNwuy13nvjbyto3j0yIZ54Hb7+UWQ3lkekXj7TxndffyksJefyzdqFGcOYjp82t4XvXnWwvWge8ByUoUuSYsEPRI8BFo7TJCuCvQojzpZQvj9I2FamZNPQiijHiKJa551j3ke8f4+0rFApF1lCiIoVCkY+4gRkDEx2BYPIlCwCfLVIq1+3m2kg6/BTjChP4wPNv8Nglp1LmssQcV0yfy46ONkLKxWrY3DB3CYurbCOdTZNfv7WfP+49RB6nnCXFXuexdirqDSUePf2xhQvZ3dWNEFaHhs8w8BkG/UYIw5QUOXQ8uo7H4cAhNCQyPMrfus7pQlDmdDKnvHxEEVzzysqHXihPGEkE2lA09XTz421bAJhTWs75U6cyr7yCCpcrpVCr38hsdHyhMpGdimLizzL8HJIdOcMRFWVbwBZ/3M8rm8yC8qlMKirHrTlSnheGNDnS18H+nlbaAz00ltSk3r7d1SRVpZLMVPKN5IzWmdsfiiagOHLsUDpc7MeJJoR1j9V1wJlsFUWeEzTNMReHJyIkJXdt2cWe7l5umj8LXRMIIfjgeXOZO7mU9/9kbdbrlIgit86ly+oj08/vbEl7XXtCoJbDL/snzquhpMg6R71uB6tOmhKpz5ubNtPck3k605ITT0xY7vMbvL61efiVLRDu/fJ5LFtQF5neeLyTL7+yPWbQRT4xyKlIfaUfFU6fV8OvProKtzPyPbIbuA4VeabID/6b1IKi/wN+C7yOJaDwAHOAS4CPAVMTrFMMPCiEOFFK2TG61VUkoG7oRQqCPVhfqex3o34gb+P0pJRPkMYXHCHEp4AfJpl9gpRyy6hWLDN2A7PjyjbmoiIKhWJioERFCoUiH/kMUArgN0x2dhSuSxHEOhWNdaf8UNjbOdXINYUJfGfDW/z3ioUIIajxeDl36nSeOtSU66oVJFdMnx0jKGru9/ONDdvZVsDXsNhYjrFtQO8IBPjRlq2cVlfLytro51jj8UZcd0Z3fz62trfQb4TQhYZD03AKDRGJOhHMLK2gym3tu5CEmPERaEsqq3h9hG5FidjV3cmuHVH3rfnl5SyvrmVWWRl1Hi/FDktQ4QuFWH88/Q66QsMu+jh3ynSO9fcRNI1IxE7C19KKzxkoL6TjKxkx8Wd5+HbGqk7Fuivyus5bxsUNiTthB2j397K/5zj7e1s51NtOUFri8wpX0dCiIhup3o+KPxsZI/mc/GZ0MEShftpSyqzFOBmmyUvNh+kJBsLRYRYDe9eEdT/Wwq8H7s8iPD0QhQZWZNhAdNhAp78uNBzhSDSHFr7XazpOTeAQGiYSDRGJTRNCROJQDWlihgXKUkq8DgfesIDZqekRsXOiuLOYWESbZM2+XLz4cmAdTUSj3DSh2eLVrCVEeN5AzFl4Y5HPQUaLKNKt+7BT03IiKhrg0f1HONDTxxeXLog4U569aDKP/9f5XPHdZwjl+GvpNSsbKfVa9ZJS8uPn0nf1sd+/cykqWnXSFADmTKvglEVRx9RgMMi6N94kYGT2IddOnUZZWTQ+zX7svrr1GIFc/9HGmO9+ahXnrZgWmX6rs5fPr9tKII/bUJy242+sv7dNFBZMLeNnN55mFxT1A9dgdZ4rFDlFCLEC+FyS2R3AO6WU/4gr9wPrgfVCiLuBe4F3Jlh/GvA14ObRqa0iEUKICqyB1QWPlPJ+4P5c12OM6EoxrzdrtUiAlHJOLvevUCgmHkpUpFAo8o1LgK8PTDzadDRGlFOI2Bvwct25YG9MVvFnCoAXj7axo7OHBRWlAJwzZTovHj04YVxFRouZpeWcPXl6ZPpwXz+feXkzzb5AirXyH/s1IxtX4nUtLaxraeG3q88eMxHmvp4O/nl0P1vbW4Z0pnjXrMURUVEhXTLjI9BOqakdE1FRPDs6O9nRGRvxV+vx0OrzZeX4yQWeOCeSVZPqkyyZGkOaEYFRyCY+sqKDDIKGEY4QMqJl4dihyOvwvGCSspA0YzrbRxuHZr9eZOpUlLlwJum2kl46Rud9T/VWMKdsMlOLKqhwF+McIuLKZwQ52NsWERJ1B30Z104IMaiDcFjvJtcPonnMaJ0VZh53OKeDLgSa7br2wO5t9ISCFOkO3LoDr0PHrTtwazpu3fpxaTrOsFjHITQcYcGONvBbiIggaODebkiTvd2d3L9rC31JnAoVI+f7K8+JPMvlenDLG22dfGrdRr518mLqi63nk/n15bz4rUu55FvP0NGXu2fmf1vVGHm95XAXx3vSr4ths/XM1Wc8s76MydVF1NeVxAiKALZs3UbT8VR9YYlpmLMgYbkp4aU3jwy7roXAZ65fxjvOj/bRHezp59Y1m+kJ5nfSlUMUpjtevjJ3cin3fXxVRHCIJSi6CHgxd7VSKGK4k8RP90HgGinlc6lWllJ2CSHejSVquTrBIh8WQnxNuRWNKSr6TKFQKBQFhRIVKRSKfOIs4FHC16ZjfX5+uW1fbms0CuTTaDZ7Q6eRR/VS5Jb/emUbD124Ak0I3LqDU+um8vwRFfmcCe+evTjSgN8TDHHbq1sLXlAE4LALEbN4zbC3jDV1d+AzQkisa5hTaJHOS00Im9uLJZoQDHReDnTEg98M0dzfy8a2YxztT38gkb1TptBG/I5lBFomtPgSCyjGC76wy9BIOxJ1oaHrGp7hJ/RlhBl24RgQGZmR32Z02pQYxJWFfw/8yPC2JJJl1dE20VKnh3fNWoWUJiaWy4cpJWZ4e1LKiMgpJA3cmpMKlzfi+mGGnT96QxrFDrflYCKjPhyx03anEIkmdARi2FF0Dk2j2lVKuctLhauIclcRVe4SSp0ePLpzSAcXU5oc7e9kf08r+3tbae7vSqsuqa4xUVGRfd/Jl0/uVKRIRozTzAi2oxV4p647TiS3taOVrmDhP88oIB+OzMN9Pm55eSNfP3kRCyssF5y6ci+Pf/F8Lv7W03T1Zz/2fNakEpZMr4xM/+DpzFI67E5FudJtnRF2KTp5QW3kHmVKyZ7WXn7/9Ev0ZiiGKa2oorI2cT/nmzuP091b2PH0qbjhykXcdO2SyOd43BfgljWbafPn/3t25NApa7wxs66E3336LGpKIwYiJpabixIUKfICIcTpwBlJZt87lKBoACmlKYS4EbgQK/bMjhe4DPj9sCuqGIrGJOWjb9WtUCgUCsUooERFCoUiX5gK/JFwlm1fyOCLr2yjO89Hg6WD3+5UFO7ozpWcJzb+rLA6yBVjR4svwOa2bk6sthr3l1VPUqKiDFhUUUOl2xOZ/sm2PRzuGx9CCnvj9Fi5mwzFn5u20+zLjaOwvWm+0GSY2YpAU8BPt23hbdMa8ei6Fa8jBHo4akYXsSK3gWMqW9FCybCcQ3ScQy86bGo8JSPeRmcQKtzx7dupWVBdz7zKBiBWXLO4As6dsoioFCksJBHYgoWG97fpC/k50NvGvp7jNHW34DfH3nkl1RVZiYqGQ1x+1TApcxVFXufqvjkSXHpsE1GPEhQpRpnOYIjbXt3MF5cu4NTaKgAmVXj54y1n8/6frOFYZ3afoa88JRpx1R80eHZ7c0br279S58KpqLrCw7xGSxTl9UTP31cPdrBu005aOzI3mJiWxKUIYO3Gw5lXskC4cvVM/uuDp0SeA7oCIW5ds5nDff4c1yw97A6zhXf3yR+mVHi572Or7IIiCdwIPJa7WikUg/hwknID+HYmG5JSHhdC/B9wfYLZSxKtI4S4AfhVXHEzMEVKaYaXcQBvBz4InAhUA/8jpfzUUHUSQpyEJeRbBSwAKrHeWxuwBXgeeEBKuTeNbb0EnBZX/Hcp5dvSWPdfWAOgB3heSnluGus9CwwsJ4ErpJR/E0J8FLhnqPWBzwshPp+g/KNSyp+lsX58fU4H/g04H6gHyoB2YBPwCPALKWV/ptuN28f7gPuI/coZAJZKKbfFLbsA2EBs9JsJXC6lfNy23Gzg3VjithlYx1BHuN4Pj0a9c4UQ4nlgdVzxHVLKz9mWmYR1rr8dmIvlQna1lPJftmX2ADPjtvNbKeWg81kI8Svghrji16WUy23LnAu8DzgdmAx4gGPAa8CDwJ+klBl11gkhGoHLgYuBOUAtUAH0AYeAN4EngIeklD2ZbFuhUGQfJSpSKBT5gBPrwWQKQNA0uWXNZra1j4/niEBcfFuxw0F3jmz+Y+PPVFOTIspvdu7n+6efAEB9cSkzSspp6ukcYi0FwNumz4683tPVy1OHWnJYm9FFz4FTkSOuP8aUuZPz2COZCs2pKFcRaBOR9a3HWZ/hZ6sBRQ4HxQ4nRQ4HRQ4rVsirO/DqDty6jkePxgt5whFDbl0LRw0JK2ooHC+kR4RMoCHySsA0EoLBzJ0BnM6oVCrRexe2/4ersunw93K0v5Oj/Z0c7mun1T+2z6wD7yPGpyi1qijldhSDGa0r/LTi2sjr3lDhCXJctugzKWXBCWoVhYHfNPnHoWMRURFYUWgPfmY17/vxGvY2Z68dwC4qWrMr8+ckOVo2Z8Pk9BOnRHSQ9qq4dI0Du7ZnvD2Xx0vdtBkJ5zUd7uLI8b5h1DL/Oevkqdxxy1mR+6QvZPD5l7awu6tw3q9uH0FWWF9b8gYh4P9dv5zpNTGC9vcCv81RlRSKQQjrQnVFktlrpJTDyai8D6tNfi+wK/zzFrAtyfKJHHbqABfgE0KcAPwvsDRumRNTVUIIsQT4PpZzUiLqwz8XAd8SQjwAfE5KmUrxeixB2WVCiBlSyqYUdVlMrKAI4BwhxAIpZdIbbHg9u/BIALvDr0cadzY5k4XDf4c7sMQc8dRhiYzOB24WQlwppdwygrrNZPCTkAvrPccfR5OJFRSB1UQyKVzvOuAbWIK0+P7rWuC88M+nhRBXjbDeuWJGgrLIQ6kQ4iNY50L8CKtZwL9s0/GCopjtJFg3npPD+6sF7iVxFOK08M/bga8IIa6XUr6WZB8Rwtv8JvAhIJEnd1n4ZyGWiPCHQogfALcXqlhMoZgIKFGRQqHIB76GNfoAgLve3MPmtu7c1WaUiY8/K3PnTlSkKVGRIgmvtHTQEwxR4rQeDVZPmU7TW5tyXKv8p8jhoM4TdSV4sOnQuGrDjY0/y847m15SEtPx3RnM3ehge/+7WYB/2ZgItOqanEWgKQZjAj2hED1ZeB745KITWFZdA8Dh3nbWNO8MC5F0dE2LipLC07oY+BHoQkMLT2u2aYH1TCHCAqaoE5Og3wjQFexHExpaOI4wEksYfh3Zh2Ztz6s78eouhLDEfNZ2oS/gI2QaURch23/JHCEcjtH5ius3gvSHAvSE/HQG+mgP9NLq66HF102/MfpikVQRaZmKgZRTUebYj6fhfk5u3cnssimR6a0dhSfkLPT4NkXhkOh5pKG6mD/dupoP3LOGTfszd9jJlJNmVDKjLuqqd/ezb2W8jRhNUZaFm163g5MXRIWM7Z0+aqus7yVTHH5c/e0ZuyQ3zJ6PpiW+DqzZMJx+6vxnyZxqfv7l89HCopyQafKlV7azqcDapJwxTkWF970lH/jIBfNYNb/WXnQrSlCkyD+WYjm2JOKJ4WwwHJeWVmTaUAghLgH+guVwksl6HwPuxBKipIOG5WJziRDi3VLKJ5Ms9zBwVYLyq4Afpth+MuHWVUAq1W78ejtSiZDGCCGEuAX4DoPFO4mYBTwhhFgmpczpFxghxNuwXLDq0lh8NvCUEOJkKeXRsa1ZdhBCaMAvGOwoNJb7XA78meRxfHYWAC8IIa6QUj6dYpuzgX9iiQDTpQyrj/DasFhsTwbrKhSKLKFERQqFItd4gJsHJv627xgP7x0Xz4ER+kOxrpDlLgeHcpPkkxPXEUXh8Kfdh/jAAus7xIKKKry6g34jNwK4QuHcKY2RDoTeUIjnjhReB2IqHLZOhWwJEeO1S2YOBZD2Tma9ADtaYyLQdF1FoE1Q7OLAnpCfo/3550I3s6SWGaU1g8qbO45ybIj62h3FhIC9PS30dugRt6aB+Uf6Ozja12GJooSIODqBxJSSkDQJmgYBI0i/EcTIoUvaIDIVFSXpTFRORYm5pnEa5TaHq+GKxlbWzsehWYMwpZQ8cWD3EGvkH7o6RhRZwh4RLqWMXJ+qS9387tNn8dF717Fmx9i6f9pdirr6g2xW+/LAAAAgAElEQVQ8mPn90X61zfbZs2JxHU5H9Pn01a3HuPSMGQgh2LZlCzMqi6jyOtne0pOWxETXHUydOScybX8/3X1BduxrH73K5wmNU0r54/cuxaFHP8dvr3+Ll44V3nt12d6DSrrPnDmTS7n5bQvtRX8B7spRdRSKVCxPMS/Xji3/huV2kqmg6Dbgu0lmm1jRak4Si6mqgMeEEO+QUiaKKXwMKzot3inlalKLii5PUn4l8L0M1nvY9noTlgPUwAV7ClDEYHoY7LBkYMVEpcMfsRx97LQAXiBZRnkDcBvwuSTzs8HXgelxZW1Yn1dFknWmAP8NfGAM65UtysmyoCiM3XVIYh17DqzzLdHjrQd4SAhxopRyf/xMIUQl8AzJBUV9QCvWMZroWnEC8LwQYrmUcvxEASgU44TC6x1RKBTjjWWEH6D9hsFdb44/EbIhYyPQKt3OFEuPHfEX/JBqaFLE8btdhyICDqemc/n0OUOsoVhYEW3TeKm5neA4a8G1u+hnq4M9fj8ih94afbbopQXl5Tmrx3AZiEAb4JSa+HYlxURAt4kDDWmkWDJ3JHMdMo2hrzvS9s+UElODkDQImiECZgi/GcRvBukI9HHM18WR/g4O97VzsK+NA72tHOht41BfO8f6O2nz99AT8udEUJQqYlE5FY0dC8vLedesGZHPuCvQx/7u5sy3UzGdeeXRdtOtHS34zMITZusxTheKgifGcTG/sLv5CiG4/6WmyLWrxOPklx87g8tOzmRwc2ZoAi5f3hCZfmpbonSUobFfbzUte1dZTROcuiQ2BaWzJ8CrW4/R29vL7t2WqLHM46TSm177w6TpM3G5o3079nvzhh3NqWM3C5Dqcg+P3nUFLme0n/nOjbv5x8HC7L+KjUgdZ3+sMWbu5FLu+9gqXFGR3kGs2B31QSrykXkp5u3IWi0Scz+pBUWDHkfCzjTfSbBsB/BxoEpKOUVKWYMlfPlvIP4h2wn8Tggx6LORUrYCLyTY/plCiKoE5QghqoHTkryH08LxXOmuFxEVSSn/LKWcJ6WcI6Wcg+WGlohbB5ax/cyXUv5fkuXjGWj46cISCtVKKeuklKVYEXQvJ1nv+jS3P1YMCIp8WPFnU6WU1VLKSmAOkMyN6johRCJxVqFxCUMLisbqkb4N+ATR860WK/LsW0CiETflWM5iibiNwa5HIaw4t7lSymIp5XQppRfL+eibQPzw+2nAt4f1ThQKxZiiREUKhSLXzB94sauzl75QfnZ2jZTjvujz10k1uemYdsQ1cgbS6KhTTCwCpsmrzdGogVPrpnJh/YzcVagAKHVGnYS3dRSWRX462DsXs+UYFK/LSiY2yAYvtxyKvPY4HFza0JBi6fxkXXO0c3xpVTXOJJEWivGL0+aylb8uhYnP8+HEdySLbcml61k6pKpdostgfr+bwqDE4eBLS0+ICIqCZoinD71BMAPxnS40VtTMY9WkqLtBwDD4/a5cDxQfHir+bHxhF2YbeSZ8P9bvx7Bdl9840MH3n9oZEUO4HBo/umEl7zlr1pjsf/nsamrLrH5PKSV3Pb1zWNvxBaP3VbvbzVizZE41ZcWDE2J2H+jkgYf/iWm737vSrNe0uQsirzUBuq394LUtmYst85lij4MnfnIVxTbB1a+27eehPYUb8abcCIfHpHIPv/74GdRXxfRHfxooPLsqxUQhVaNEa9ZqkZpW4D+xBFBuLAHCMqxzK4IQogT4GYO/DLYBq6SU90gpIzaCUspDUsovAtdgOffYKQV+mqQ+DycocwBvS7L8ZQx2NhpAI7mLUfx6R0gu4AHwJykPJinPhA3AUinl7fZIMynlJiy3pUT2jJOEEDNGYd8joQk4VUr5VSll5KYspdwNvD08Px4XsCIrtcsea4FrsWLg3MBk4Fzg0THY1yFguZTyJ1LKSKdA+Hz7MlbkX6LRMtcIIRYmKL8uQdlHpJSflVLushdKKXdIKb8CLAK22mY9Afw40zeiUCjGHhV/plAock1EiVzndaMLEdO4OF7Y3tHD1GKr0fK8+mru2dyU9To44jrZ/Mb4FHApRsbX1u/gLxetwOOwvgdfWD+T7R2tHOgdf4KZ0cDeSN8ZGI3v/fmFXdCTrWtzsTP28TRo5u5atb+3i52drcwrtxyp3jlrNlVuS0gmEAhhtShZMUvhqCUh8Bkh+kIGPiNE0DQJmRJDmuhCQxcCXQgcmoZTs6YdQmAg6Q4E6Q2F6A0F8RkGDk3Drem4dQ2XpoMAwzQJmhJTWr8NGd4+EjP82zAlJpKQKVl//DiXT7cGCXkcDk6orOINFYE2obALyXJ5PqUiWT+YOQwRVPJOtcJ9vsy4o1A5FaXFd09ZhluPtvu/eHQL7YGetNefWlTF6XULqXBHUwQMafLzHa8TyjtfmPSIdSoq3HNGMRgzz/6erf4Ah/v6mVZsdeTPrSvh9id3cKzLx/fecSKaEGia4Bv/sZTqUjc//Pu2Ud3/hSdOjbzu6AtyoL1/WNvp8kWf/4s82WtiXXXSlMQzpIH0RV2XTFPS6RvaNa160lSKS6ODn+KjEDt7kvV7Fh4Oh8bjP7mKyrKomcaf9xzml9sHJXgoxjmagB/esIIpld6BIgn8F5CuG4hCkQtKU8yLd/vIBS8C18TFFgWwRC7xfITEIqlbpJRJb/xSyseEED/DcjKyc54Q4mwp5b/iyh8mcZzhVcD/JihPJhqyr/erNNZ7VObGOu4l4FK7IMuOlLJZCPEE8M4Es+tILNzJBjuB86WUBxPNlFL2CyH+iOWEE8/kBGWFyheA2+OOnWMMjsQbLW6WUjYlmymlfEII8WPg5gSz3wN8cWAi7P6V6Jx+IFUFpJT7hRDnA18BfiulXJtOxRUKRfZRoiKFQpFrnsdSOztqvW5OnVTB2qPjb0DQc4eOc159DQD1xR6mlXg40OMbYq3RxRHXMOhTTkWKBPSEQrz3+df5/XnLcWgamhBcOm02925P9P1f0RsKUuGyOiQXV5Ty3JHxJdbIhaioSI8+nobM3HeBPXO4KSIqAriwvvDciuxc1jBdiYomGLGiovyMY0oWczicNthkApxcX0uGImMBR4rPJmn8mXIxiHDL4gVMLop0IrK5rYk93UfTWlcgOLVuPosrY13dQ6bJfTs3sL+3a1Trmk1iREX5ftIoMiJeJJIP+EI2l5+wK86D6w9yvCfAz9+7PDIo5tNvW0hNmZuv/nHDIEfL4XLhiVFRzgu7hv9cdLwn6khcUpSdmPP6umKm1hYnnDezJsCbB6JCp/2d/fSn4QbdYHMpgvy/Z46Ex+66gqm1UTHoUwdauHPjnhzWaHTIvzM8/7n2tEZWzqmxF32c5E4nCkW+kCrmKaUCVAixDStuKF32AYullOmKlfZhiVnSVel/NEHZfhILfeL5LvAxBl/+bgJiREVSyn1CiDew3JLsXCyEcEspI5+bEMIJXDzEvi8QQnillBFFcpL1EjkkZYN7kwmKbCS78eUyRuwPyQRFNpLV25ukvND4vpTye1neZ7JYOTt3k1hUdAE2URGWq1IizgX+lmoHUsqjWOe0QqHIY5SoSKFQ5JoW4CngUoC55SXjUlT0wpFWWn0Bqj0uhBB8dulsPv1idmMR4uPP/EpUVJBowOQiD5O8bmo8LspcDoodDpyaQBPRbtmBfgMpISQtx5KQNGM6iCyXFYGuWU4pA50NEtjQ2skptZUAzCuv4t9nLeBIXw+GKQmaJj4jhM8I4TeibixB0wj/Nsd0NPSA04smNCSSkGmOqeBlwH0mEbs721lea3VKXNwwiQf3HqYzGG3IDxhmgXoVWNj9zbKVmmF3Uctl9NkATT0d7OpqY05ZVa6rMirMKi2lyOGgL5Sf4hLF6GMXFYUyiHXKJkm9hYYjKtJGT6CUVVJUL9E9KNW7SfZWc39FzQ8unDqFVXW1kekjfW280pJe9FG1u4zT6hYwuagyUial5HBfN7/Y8QZ9RmFfW+3OpsqpqPAxpYw8S+Vj/Kn9+d1+7D23o5l3/HQtf/rI6bjD7qnXnTWLqhI3t/z6VQKhkT1dz51SSqNNVPLzF4YvKDnSGXU4cjl1vG4H/f6xvQ6sWDwpYfms+jL2bdsYmW7tDXAsDYehkrIKqidNjSmLv2fqjvw7fobDH75zCXOnV0Sm1x1r51vrd467q12+P/LkAy6HxofOn2sv+hNKUKQoDFJd2IuAVIKe2hTzEtEYXiddUdH30xUUCSEWAbMTzHo4HXcfKeVBIcQrwKlxsy4VQjiklPE3478wWFRUApwP/N1WdhZWXFsqioALiY2iil+vC3h2iO3kksDQi+QlhVrvdDCBb2Z7p1LKIaMJpJR7hBA7sSIN7SwTQuhSRhqajgM+wBO33ANCiNuB+6WU+0ZcaYVCkTOUqEihUOSak4GzBybGY3wQQNCUPLz3KB9cOB2AU2orcGkQyKLaQNeUU1GhoguYXVbMospSppcU4UrSYTqaHOr1cVKViTMc77WsahJuzUFfKL1z1JSSoGkQME0kEl1EG6I1IWyRUQPLmpF5A60HA51ZAkswpQmBS9MSOlqYUhIwDfyGgd80CIR/+8Odex7dgVvXcWoaDhH+HXZi0sP1kAw0wMpoPYVI6qBB+D1IKRFCUOTQueu0Jaw/3hHTSRIwTbqCIVp8fo72+dnX00d7gVzr9BinouxcM/y2uCPrWBE5j+x4cO82rpw+jzKny3Z8Wh0ukvCxKq1oEYHAqVlxZVa8mRY5lkxpxZKZMvpjSCvKTBMaXt2BU9dxCuv4tOabhKTECH8uYkBUFz4vhCBynKYjwhJCcGnDNP7ctHfMPi9FfmHvqA3kafRpUgedCeVUlIIMRUUq/iw5jcXF3Dh/TuQ46Q36ePbwxoQCmnJnEY2lk5haVE2Rw02Rw41bj3UiCRgGDzVtY2PbWLnRZxf781q2xMSKscN+XDuz8P0hU0y7qMgRW7+NBzu56K5/8bdPnkWJ22q6vHRZPRXFLm76n5foTiPSKxnnnxB1KeoPGGw6NNRg/uTsb4vtZ60odY+pqKjY62DpvMR9wuXufjo6OgDoDYTY05ZeH3DD3IVDLuPUC19U9JMvnBMjyNrc1sUXX95GSClwxh0uhzak+PBD581hzuRIipQEvjrW9VIoRolUop3iIeaPNVszWDZeDDTA+gy28UaC7VQAc4H4+LSHgW8k2MZVxIqK4iPM7gA+AMSPMruSWFFR/HqPSynHswBGMfocTsNhKpdsZrCoyIkVd7YPQEoZFEI8iXVe2SnBOv++IYTYDjwd/nk+z9+zQqGIQ4mKFApFLpmG9QBRDNAVCPHcofEbyfLI3iO8b34DDk1D1wQ3LZ7BjzY1ZW3/8fFnAVOJivKdMqeDpTXlnFBZSlF4lG42ef14ByvrKhFC4NR1FlfWsLurnTb/0NF9mhC4dQfuNKud7nKp9ufRHXj0ET7aZNjf4jcM2vw+qj2W026d181pdZW80dpJXzhqwKVp1Lhd1LhdLCy3Gi7b/AG2dXSzpaOb3jQiCXKFXaRiZqnBPb7LIh+cEjoCPu7f9Wauq5EWA85aGpbgyBIbwXWzl0Ri3FbW1ilR0QTC3pFs5Kl3WnKnomFsK6m4LvfXklSkutZlGlum4s8S49Y0vrn8pMi9zZAmzxzegM+Ibe+fWlTFiVUzqS+uSbSZCK2+Pn605VV8eRorOByUU9H4wn4pcIj8E4XYRfiJRE/7Wvs4+/bn+MctZ1NTYqUpnD6vlt/ffDY33LOG411Du/Ak4uKlUVeeDQdG5pLcFzAjAwwAqsrdHDmerqFD5qxcPBldT3wtb9q7K/L6SJc/rTu+y+1h8rQZg8rjz/48NLrKiK995FQuXhWNrNzT1ctn124dVwOtJvgtHo9T572rZ/EfZ8xgRm0Jff4QTS09bGhq54kNh1izoyXmmnjdWbPsq/8U2J7lKisUwyVVXm8tkErp/jowK0G5E5g+kkqFyaRxK16cMEAm9oG7U2w7RlQkpdwkhNjNYHekK4QQN9nckeLFQb8AJgHXx5VfLoTQpIyMvotfL1fRZ4rCJX8bhy2ak5TXEBYVhfkycBHJI+kWhH8+ARhCiNeAx4G/SCkLo+FVoZjAFPjXQoVCUeB8AagECJmSb67fQWdg/DTKx9PqD/L84dbI9Iq6ihRLjz4eParayPsIkAlOiVPn4oZablzYyMraipwIigCO9vvZ3dUbOV4cmsb8imqmFpUMsebEYldne8QRCaDS7eLsydXMKi1K2rhb5XZxxqRqbpw/g2sap7CwoiTGFShfsMcmBpVlQUEgsQRgIWlFEQZMA59hsK7lUGSZGreHIocaWzBRsDuPBPPUqSiZrMgchgA6mbtcIT/6JI4/S/6GkoqKRq1Ghcm3ly+NufatO7aNFp81MFIgmF5Sy2XTVnDptBUpBUUh0+SpQ3u4fdNL40pQBLHCk2yJiRVjR947FdnqpydRrbT1BTjze8+yrzUq1Fk8rYIHb11NY21xxvucPamUk2ZEzQZ+vbYp423EE7I9I1eXJ+s/GTkuh8bKExJHn/n6e9m/ryky3Z/moIX6WfPQ9Nx818wWH//3E7nusvmR6SO9Pm5Zs4Xu4Pi6fk9kls+q4h9fOp8vXH0CM8LRhkVuB4saKnj3mTO5/xNn8txXL+KqFdMAWFhfzpTKmHP169mvtUIxbN5KMW9BqhWllBdJKeck+Gkk+yMwKpOUd2WwjWSxTcka3BMJfaYAKwGEEPOxXI4G2Cml3AE8kmC9SYRdkhKsFyDW/UihGA8kc0GLuaFKKTcB7yC9c1nHOo++BmwUQvxLCJHMxUyhUOQBSlSkUChySSTL+Jfb9rH26MhGCRYCB3r6I6/dWW68K3LaREVZ3bMiXQSworaCD85vZElVWV50/m1p72ZnZ09MB2VjaTnzK6pwFfqQ1VHCRPLG8WP0BqORZg5NY1FlGWdPrqa+2JM0lkoAjSVFXFI/iQ/Na2RlbWVedfrY/8a+LIkR4qPOUsXPKdJnR0drRPw2EIGmmBjYnQpDZn6KipI7FWX+xKIluTcVsuvK6DkVjUZtCpMPzZvDjNKoKHpn50G2dx4EoLGkjmtnnsmF9SczpSg22SBoGuzqauOZw3t5aO9WvrdxDV9c/xxPHx6fbm92pyJDiYoKHvtfMD+dyqJ1SnW994VMVt/xfIyrUGNtCQ/euprF0zIbqPOZKxZFXvcHDZ7cOvLoQn8wem+tKnePeHvJOGdFAyVFzoTzjh2MNWsIGkOfv5qmUz9rbsJ5Hf2FEdU8FO+8aC43X7c0cvy3+4PcsnYzx33jL5Fmon5nunx5Pb/71Fk0VKcWGU6vKebO953C/37iDK49bZAhS+ITQaHIT1I5eSwewXazfRFJ1iieyQNosmWTbTuZe9BAVNMVceUD8WZPAoks269Mst5zUspMxFEKRSGQ7CF30LkhpXwcWITl9NU/aI3knAWsFUJ8KvPqKRSKbKB6AxUKRS5JNqJg3GJ3+si2K4lXVyOP85lyl4N3zaln9ZTqvBKVAGzv6OHl5vaY46bK7eWEqjolLAojgTfbmjnU2x3TKVLqdLKsuoILp9ZyYlUZNR5X0m0UOXTOqKvi/XOnM6cs85HXY4FdDGXI7MQDGHGOSHnZB1aAhKTJto5oxOjK2roc1kaRTewigaDMU1FRkhN9WM6KybaV+ZaySqr3mnlHYTKnool5Qa0v8nJx/ZTI9HFfJ2uPWYkIZ05azAX1yyhzFcWs0xcK8uj+HXxp/fP8fMcb/OPQHl49foS2wNARsIWM0y4qUlHJ44p8PPvtdUrncn/1PWt5ams09aWmzMMfbj6LVfNr09rfrEklXLKsPjL94PoD6VY1Jf3B6LlSWeoZlW3GM7uhnDNtsW12QqEgx440xZSl89w+efpMXJ7Ezkov7S/8AV/nr5zGNz9+euQZoy8Y4jNrN3OgZ3xex/PxHB9rrjylgR+89xRcjsi9KwR8H8utZQXwQeCv2CJlzlhQxw3nzonf1N2MTIyhUGSTdSTvpL9sOBsUQuSicSCZ6KY0g20kW7YzSflaEkc4DYiK4iPMHgWQUvYAz2Swnoo+U4xHypKUJzzfpJSHpJQ3YrmBvQv4Famd1gbQgB8KIa4ackmFQpF1VO6BQqHIJS9jZayyanIV9+88mOPqjD1BW+O8nmUthtcWoZXGwEVFFmks8XJl42TcGRwUQb+f7o52ujs66O/twQiGkFJGnRjCLfNCaGi6hqbraJoe4+AgpUSaJqZpYBjWb7A6HYUQIARCgKbrvKU72Oh1s2JSNWXFxXi9XrxeL5OdHo6HAvQZyj4eYH9PF839fcwvr8LrcEQasZ26xvSSIqaXFNEbDLG3p48DPf0JXQBKHA6umDaZ7Z3dPHP4OIEcdurZG6ezlX4WvxurE1xdtEaDN9ubWVo9GbAi0Dyaji9PnWsUo4MuRIw4sOCcioYTfzaaAqUskt+1K2w+sXB+5LjwG0GeObQBQ5qcXD2H+RUNkeWklHQG/Dx/ZB8vtYz/7yWJcArlVDSusP0J81FwECMqSvMqeOP/ruebV53Ae06djhCCEo+TX350FZ/81Ss8/eaRlOvedFE0AssXNPjKI1uGU+1B9AVCDAzeLi2OdRJauXgS/3bhHOY1VjKpqoigYfK3F5p44IkdNB1Jb4xVw6QS3nXJvKRC+4P7dmHEfxdL4+OsnzUvYXkgZLL+ULL+2MJg2YJa7vnPcyLPQAHD5LZ129jR0TvEmgWM7fiYCFfvcxZN4gfvPQUtOiDrOPBZ4D+A/wOeBx4C3geUAz8j3P4Yz6G2vq/XVxVtBu4BPgkoVa0ib5FS+oUQzzBYyAKwQgjRKKXcl+FmLx6FqmXKniTlM7DEP+nQmKR8V6JCKaUphHgU+FDcrEVCiBXAGbay43H1eAR4W9x6C4UQK+PWkySOS1MoCp3ZScpbU60kpewEHgj/IISoBc7EOm8uApYkWfVOIcRjUmZphKtCoUgLJSpSKBS55O/AlwFmlRUNsej4IGBEn4MyEZCMBm7lVJSXrKyt4Kwp1Wk19AcDAY7u38fhPbvpOH586BXGgDeBeeUleJ2xbsKGJuiVBgEhcLhcOJ1OHC4XDocjtiNXSkzTCriyBE0musOB0+lESolpGNEO4YHfUlrzpCTo9xMIBDBCIUzDRAiB0+3C5Xbjcrlwedy43B5cbjcerxeny4kQGn6fD19fH8FgkFAgQCgUIhQMYhgGhmFEh0cLEdm/NM2I2MpM1rEdrpv1Mvr67xJKXC7qyyqoKC2lurqaqVOnUltbS7HTwQmVZcwtK2ZXVy/7k4iLFpSXUl/k5anDzezrycQtdvTQYhqns3PdUJ2YY8dABJpbtwRvl02bxv/ta8p1tRRjSLwrYiBPRUXJuruHIwTKz4ifoUl1jRUZOhgmjT/LaCvjB3vs2cbWPfSEfHh0FydVz4yU+40Qv9u9iR2dbbmoYt7g0KLPdyHlVFTw2K+HwWypwzPAfrnO5HL/5Uc209zl49YL5yGEwO3UuedDp/KZ37zGY+sTCwJn1pXw9pXRyKO/vDF6wkGfzanI67aaWS9d1chXbzqVmorBTkAfevtiPnj1IvYd6eaSTzxCKJT8XFu2oJYrV8/CoSe+gvt9/ezbsw1PXOvuUB9naWU1pZVVCee9eqgDf1ydCsnpblZ9Gb/79sXo4fYPU0q+/toOXj9e2EKpVOgCrp4xOVqQf6f7qPOldyyJFxRdCPwGODFctgj4GJZL0e+AG8Lz7sRyMopQX1U04CryMazBj/ePZd0VilHglyQWFQng68D7092QEEIHbh2damXE60nKlwG/T3MbSxOU9QHbUqzzFwaLisByJbLfTf8uZYzN72NYV9f4G2L8eq9IKVOrnBWKAiN8nTghwaxDUsqMvkBLKVuwzsO/hLe9FMsx8My4RWdiXQ/WZ1xhhUIxZihRkUKhyCUdAy9c2bbtyRFH+/yR1+UuJ0UOjb4UjYijiV1UFFKd9jnHqQkuaahjfkXJkMv2dHWyb9s2juzbixHKbYewBHZ397KootTeiIduSsrQ6AsEae7sylpUVj7TBRxuaUYXGpVuN8UOFyVFRcybN4/58+dTWVnJ4soy5peXcKzfz7F+Py0+f0ynT6nTwTWNU9nY1skLx1pz0CEU/Rvn6rIhlFHRqDEQgTbgVnRq3SQlKhrnOOMiKoN5KipKpgMaznVHSyLAyZYwciyxCwRSfTZJRUWF0yc8apQ7HTHnwb4eK/FgSlEVmoh2OP9g8zo6Av6E20hEraeI86fMpD3Qz5OHkg20Ljzsn1VIPcsVPPZTPt+//2Vau7uf20VLj5/vvH0JQggcusad71+B1+3gT2ubBi3/6csWomtR15qvPrZ15JUOYxfg3XjNCVxz3myqE4iJ7AghmDG1jLs/v5qP/vdzg+ZPm1TCOac0MK+xIuV2tm9+jVAwiOaORiynM4Bo2uz5Seet3Ve40We1lR4evvNyXLYBMHds2M3zh1MOoi9oFleVctvSOcwuj8Znh4zxff1uqC5i1qSY1KMLgABRQZEdHXgvcA3wFSwRQqoMvLNQoiJF/vNXLDeeQVl+wPVCiD9LKR9Lc1sD50W2eQXL4aQ6rvztwOeGWjnsdrIqwax/SCkDKVZ9BuhmcHTa5LjpR+0TUsqjQoiXgdPilpsUN62izxTjkXOARA+lCQU/QggXUCelHFLFL6XcIIS4DGgC4hXvc5LtQ6FQ5AYlKlIoFLkk8gDfnyVhTa7Z0NqJ3zBw6zqaEPzi3JP4wDMb8WVhJLDL1klg5OFI1YlEucvB1TOmUOtxpVwuGAiwe9NG9u/cmVexLSFTsr2zm+klRXh1Dd12bBU5nUzRijnc16McscIY0uS4r5/j9OPp76XjjR42btxIbW0tc+fOZf78+dQXe6kv9iKlxGeY9BsG3cEQnYEg/SGD1VNqWFxZxl+aDnOwL1Ub6OhiHxSdLaFY/H4KaWR0IaAi0CYWDvqEXcgAACAASURBVBErKgqY+RlVmew8H44QKHn8Wcabyi4p6ieEGPQZpXo7yZ2KJt71dHFltO0zZBp0BfsAqHBFO1+7g/60BUVFuoP/POlMXHq0w7qxpJx7d7wxSjXOLS6bU1FQORUpxhj7pSpDQzYAHnj1AL3+ED/8j2VoQqBpgu9edzLFbp37ntsdWW7WpBIuX95gW28/gVFsfyhxxzatxguKdrX28vKBDo71+JlfU8zbFkT7Hy88bTqv/+FdPP/aQXbua2d2QznFXic1FV5mTyunpMiJQBAyTExT4nRoaJrANCWvv7GB4xVBGmvqYr6PGWbqu6fL46Vu2oyE83a19tLeH8TjiH1+8AXz/1mx2OPg8R9fTZEnGkF379Z9PNJ0NIe1GltOqi7jrjNOiBmkJ6Xkty+MH7ErgK4JzlxQx9kL66ivKooIBMO0ABuBT9gLX9vdyqxJJVSVuAeKSoAfAOcPsbsdo1RthWLMkFKGhBD/CTyYYLYG/FEI8X4p5Z+SbUMIoWEJir4yRtVMiZTSEEL8GvhM3KzZQoh/T1X3MJ/FEg3G87Mh9usXQjwO/HuKxfzAkwnKH2GwqCie0RAVeUZhGwpFWgghXEMI8QC+kKT8b3HbcgIfAL4EVAkhzpFSvjpUHaSU3UKIvQwWFeVnA5ZCMYFRoiKFQpFLZg28ONaf/sjgQqYnaPC3fc1cM2sKALPKinnu6tMJmBKBNYLc+m11+ww0lUjgSK+fH2zczZqjwxs56HXY4gzyvmdt/NJY4uWKxsl4hnDnaj16hE0vrcXfn5vYq6EIGJJdnb0AVLgc1Bd7cYbfk1t3UOsp4lh/by6rmJf4jBCHertxaTp+06ClpYX169ezbNkylixZgqZpeB06XodOlXuw6Ozqxim0+wO8dryDV1rax9y9yN45b2TpshF/eZp4XeBji4pAm1g4tEIRFSVGDkPUILTE99d8dypKVTshBJqIFxWltCpKvJ1h1KvQqXRF76U+I9pW2hOMCnS9upN0uWza3BhBEcDssiq+tfwc9vd0sbHtGC+3HEprWy5NY3n1VByaRsAM4TOsn/6QQb8RpD8UwhcKESJ74h57R61ynRxfDEe0M9aYtutY/DUuXR578wg9foNfvPeUyPH75WtPotjt5MdPbAfg+rNnR1zs/CGDbzy2ZYQ1j6WzP5iwfOfxHm7/526e2hWNrS526dz/+kF+8Y6TKA2LkcqKXVy5elbCbQxgF/wB7Nu3lzdefw23a3B/ak8g9b2+ftY8tCT3ypfCLkWOuAMmEMhvUZHDofHEPVdTURoRkPDg7sP8ZseBHNZq7Pn4CTMjgiIpJftaevnUfa+w+cD4iHorL3Ly7jNn8t7Vs5hUntT9qxhLRBFxKfrNP3ezv6WXi06ayqlz3fHLvy3FLn+LFcGiUOQ9UsqHhBB/wXL2iceLJSy6ESsWcA1wFOtcacByHfk4sCQ7tU3KD4CPYIn+7NwthHhdSrkr0UpCiPOAmxPMWiulTCQGiudhUouKnpdS9iRZ7zsp1tshpdyexv4HSNYZkuu/i2Ji8ZgQ4lopZXeimUKIW7EcAePpBR6wLacDW4C5tmX+JoR4p5RysC1n7D5OJrFj2qahKq9QKLKLEhUpFIpcMnPgxZHe7Dlv5JqfbWliQUUJi6osoyYhBG49dSOqAOpLPNyxahG/2X6An23dn/F+y1zRS35fKD87Fcc7K2orOHtK9ZCdek3btrJzwxt55U6Uio5AiI5AN3PLiyl2WsdZidNFbyhATzBxI/tEJ2AaHOrtRkNQEfDwwtq17Nq1iwsuuIDy8vKU61a6XVxYX8eF9XV0BII8uu8If9hziMAYOArYuxuy1SEf73CVzHVEMTxUBNrEwmnrFMzne0qyzmRzGNe1ZB2l+e+el7x+QohB18LhvJ2JeD0tt4mK7KK6Nn+0zdSl6ywqr2Fr53GGYkZJ4igip6Yzu6yS2WWVXD5tLnu721nfeoRNbc1JJUG3nXgGJc7UrpUQPXcl1r1YSokpLdGPKSWGlBjSJGSGf0uToGkSNA2CpkHANAkYIQKmid8w8JshAobBwb4uDvbGth3rNnczI+/PGcVQ2P+C+Xj223XxyaIr0+G5Hc286+cv8fsPnYYjLLC49YpFFLt17nhsa4xL0V/fPMJomyR3+2K/W9/54h7eau1l7b526opdnDermvpyD1PLPJSHXXRebGrjzBmVlLrTFzUOsHPnTv75z38mnNfjD7KvPfmgFN3hpGH2vITz2voCbG+x+lDjnGD4/q1nEQga4ftRdBCUplmjoiIDo8KraZo1X9csZyVdF+iadS8b+O0LhLjj/td5+uWRC38evesKptREHej+caCZH745vtx64qlwOVlcFU3vuetv27j7ifFhsuPUBR+/eD43XjAXr2vIrosi4FxsnZGLGyp43+rZme62BiuKSaEoJD4ALAKSZVpeQGIxQDL6gH4GR5KNCVLKw0KILwA/jptVB6wTQvwX8ICUsgtACDEZ+BCWC0r8Q3QfcGOau/47EASS3YQfTVQopdwuhNgJJL6RZu5S1Jyk/H1CiCellAnroVCMMhcBW4QQXwYeklL2AgghFgCfB25Ist5dA+cmRNzHNhMrKqoFnhZC3A/8GnhpwBVJWI0TC4B3Y4kE45Xyr0opd470zSkUitFFiYoUCkUuWTTw4mBvfrqxjAW9IYNPvriJjy2ewRUzJsdYVQ+FEIL3LZjGs4da2dmZmQtMtS1qq2uI0YuK0cWpCS5uqGNBRfzgm1iMUIgtr6zjSFNTdio2yuzq7OWEqtKI/X6Vu4i+YFfMKGRFLCaSNn8/bf5+Du7tYuv9B1m5ciVLlyyhxOmORCUONOvHdwhXuJy8d+50zppczbc37GRvT9+o1s++v1CWYhPjOzHzsROs0FERaBOH+PizfCWZ2GU0RUWF7lQ0KP4sxQpmkuv1RLyeljqjfQUBI/r82+rvos3fTZXb6pC9fPpctm4aWlRU7oo6HmxpP4xXdzKrrDZmGZeuM7+ihvkVNZizJO3+fnZ2tbHm2AFafNZ9+oPzlqYlKILo+RH5P/KHTJT4kD5SSja1N/O73ZsjZXrMfV85FY0n8jH+0C52Ha5T0QCvNLXz9p+u5c83rcIVju76yEXzWTarmuqwe42UkjueHH3Rhf19vLy/nS5/iKVTyjijMT7BIUpbf5DHtjVTXeRkQW0JDeVehLBixpy6hmFKOn0h9nf00RUwKHc7kNLk1ZdfZue2rTh0gVu3BDv+oInPMPAFzSHFgNPmLMDpGuTcAsDafe2Re1G8U9HJC+vS+zAy5O7bzmHxtf/LSC43v//2xcybHhV8rjvWzrfXv5Xnd/2RYx80JqXkp/8YH4Ki+qoi7v7ACpbOGHT+BIHHgUNYQgr7gfy0fcFTZifVQ7RhOStMSzDv48A3hlFlhSJnSCk7hBDnAs9idc6PhCBwLZZI73MjrVu6SCl/IoQ4Efhw3Kxq4H+Ae4QQzVj9mDUk/koTAt4jpdya5j47hRDPAhcnWSSVmOcRkn8+mYqKXiWxuKkYeEQI0YflMCUBE7hJSvlshvtQKNJhGpbo55dCiKNYx2Di0TQWW0h8z7wJy2lrjq1MA94f/pFCiDbAhyUeTCbsCwCfTLv2CoUiayhRkUKhyBUCOH1gYleGAplCx2eY/ODNPfxs6z4WVJRQ4nRgSEnINAlJSdCUBAxrxHFImswpL+azJ82h1GXF1XzqxJl84oXNQ+/IxiRvtONiosTN5QPlLgdXz5hCrSd1x1F/Tw9vvPBPutuHF2+XD0igqbuPWWXFCCFwahrlLjftgYnjRDYSJNDj9/HsC/9i086dLDvjdIqKoyNuNQRFTgc1bi8Vbg+ecHwVwMzSYu4+/UQ+/+oWtnYkdKwdFvFhO9kgFBe3MhGdNcYaFYE2cRhpJ222SNbZLTMUMyYTFEF+OzVB6voli3RLuq0kvbN6gRwPo0mZXVRkxronvtm6l3OmWmkpVW4vc0or2dWd+jnM/hHu6mpmV1cLk7xlNJZUMaOkhmkllTHLa0JQ7SnidE8Rp9c1EDAMnJoWc2/zGUFCpolD03AIfVBs4VghhGBBeU1Mmd2pSMUljweif8N8PP3tVyrHKFRw06FOLvvRv/jrJ8/C47REdyvnRI9xf8jkSNfIvpc4NMHkcg/TKotoqPQyqczDrNrowJG6EhdzqotTbCGKBI73BXlxXzuasK49yW57O/YdYsfrL9PTOfzvii6Pl+nzFiWc5wsZrD8Ujczq8oXoDYQoHtolZkQ4HRrvuWwB9/81k7SYKD/6/GpWLpkcmd7S1sUXX942Ia5fx/r9mFJaA1CE4JTZNax7a2hxbD5z6twa7r5hBTVlHnvxceCnwH1YIoNq4J3EioqiC3f5WL+njYuXTrUXfxrwAE3AHwcK9zb3MLMucv7eCvwE5VakKDCklEeEEKcC92KdG8OhHXinlPIpIUSQLIqKwtwEdIT3G/9AoANTUqzbAbxbSvl4hvt8mMSiojeklAdTrJdMVHQEeDmTCkgpu4QQvya5w1IRYM9HnYclIFMoRpM7gU9hnWs6UD/E8m8Blww4DtmRUjYLIVYDD2Hr97MhGNoJrR+4TkqZ0fmkUCiygxIVKRSKXHEBNtXyhuNdKRYdv/SFDF4/PnTefVN3P/XFXj68qBGA+UM43iSixiYqOjSBnKFyyczSIi6fPgn3EG5UrUePsHHNCwT9g57HC47uoEFvKERJuBOv1OWmI+Ab9yNFR5uWY0d57rG/cdJpK2mYMQOwXI16gkErUq6nC7euM6+8KuJ04HXofHfFIm5Zt5nd3aMj1LT37xhZ+iPGd6ZoeTiyvtBREWgTh3ingXwlmfjJMDJz0EopKspoS9knlaufnoGrJYCZxHlsIoo0ix1RNx97/BnAnu6jLAvMptxliaGvmbGA2ze9lPE+jvV3cay/i1damqjzlDK7rJYZpdVM9pYPOrZdeqy7kCFN/rD7Fdr8UadBgSXucWp6jNDIoek4hPXbGf4dLYsrj/k98NraTo0n+j0i/pBw2c4hv6GcTccT+Xj222MpxSjdr3a19HL+D57nHzevptgd2+R5LENBkRAwqdRDQ6WXhrCIaHKZh/iqjsalNZGYyDRN2puPcnD3DlqPHhrxPuaddAoOZ+IB4Wv3teM3ojKvoCm54aGNvOOEKbh0gZThCEYZvl+Fp00pbfNkZJmB1yFTYpiSkCmjcY0mfOasaB/pDVctGpao6CsfXsmlZzRGpvd29fHZl7biMyaGy5rfMDnS66O+xAvAmQvqClpUNLXSy30fXYXHFXOf/AVwC/AeYCNQmmhdO3c/sYN3nznDXvRz4EdYTgkRVZ4/aLDurRa7qKgcuBz4zfDfhUKRG8IRRP8hhLgPyz1kZZqrmsDvgduklIfDZS9gdep7R72iSZDW6IrbhBBPAHcAJ6exmoklEvyclHI4N8lHgHsY/Ig0VOTYS1ixZfEWfo/K4Y1iuRVYCJyZxrL5/pVWUYBIKW8VQvwdS7zbMMTiDwGfkFIeS7G9w0KIs7Dcx/6TxO6AyXgcuFVKOTy1uUKhGHOUqEihUOQCD3D7wMTLx9qVc04avNkaFV4VOzOPO6hyR0VFh/vU5z2WCOCMyVWcVlc55LJN27ayc8MbOXFQ8Dp0yl0ONGG5RAgh0LDqL8RA3EoUGf5vIELGXuNIPBexES1OTaOxpByfrWN4YPuEf0sZ7VQYFO+SxvuINOyHF7Y6la2Ga1PG7s+OsP0nEuxL2OqTvLPAHknCoM/LDDuQ+YwQvaEggQwipoLBAK+98CJdbe0sXLZ0UGew3zDY1NZCQ3EpDcWlCCEodjj4wklz+eiajaMyQtcu6MlWjF183MoE7APPCioCbWLg1KLPC/kc/5XcqSizjsFUjj5mAbgWSJn4mpdKLJWIVLFxGrHuIOOdnlBUGFPqjO0bkUg2tO5m9ZTM3Ioi6yc4pJp93TT7unmpeQ8e3cH04ipmlNYwo6SaUpdn0PL/OvJWjKDIqpcl/gwZJozBZXl2aS1Xz1iacJ5LjzYR+TMU9Snyj5hn9Tx8oLKfQ6OpgT3U4eOcO57j6VtXU24bWPNWc0/K9YpcOjOri5lRU8y0Si9TKrw4M67Y8N9IKBikp7Odns52OlqaaWs+Qig4OoNO6uobqWtoTDivP2jwYlPboPKXD3Tw8oGOUdl/PLtae/np1UsAaKgroXFKKfuOpO+2+tFrl3D92xZEjuujfT5uXbt5wsW8H7SJiqbVFOW4NiPjIxfOixcU3YAVxfI14KvJ1nto3T4uPmkqgZDJF//wBu86cybzp5bbF/ll+PeHgLKBQrdT511nzIzf3NAj/hSKPEZK+STwpBBiMXANlrhoMZYzSDHgB45hRRf9E/ijlPJA3Db8QojfYp0zPiDRKOCdWE+p9pO2C9g/wvo/BywPCxKuAU4F5mKJ/gwsJ7EtwPPhuu8Zwb6OCCH+ALzbVtwN/GGI9UwhxJ3AN4n2rfZhXa+GU4+ecITd9cC7gJOAKqzPNogl8GoHdgHPxK2+G+tvZP+SEQD2pbHrRKKQ1vB+hsMRrEdP+4NQV5K6HGdw7JsBpPP3bMb6Omv/gtyDdVyMFYcT7BOs9zf4ASo9tgLxD2aZRVJYHAbs1nxyONuRUj4thJgDvA+4CliKFTfYgxU7+hzwBynlujS3ZwA/FULci2UscAmwHMtgoBLr3GnDOua2hbf/hJRyuMefQqHIEkpUpFAoso3AGgkQacm+b/uIvnNMGLoC0ciGTJsqNaDCHX1WP6icisYMr65zeeMkGktSD+oxQiG2vLKOI01N2alYHLommFNWhJ6FiA1d0yjOUpRHPuLSdYqcTqrw4gsF6Q4G6A0FMdLs4N65ZQs93d0sP/MMdH2woPBgbzcCaCix2khnlRZz7cypPLBn5COa7f1P2RK+xXd2K6eisWFnZysBw8Cl6wghuHTaNP6i3IrGHXbXkXzW1CTr7DZlZvIXLUXnbz6LqgaQyMQCKzG4NOW7SRWlNqDmnSDs7u7htLpaAGrclnOQXWC2u+soS6uH51Y01DHlM0Ls7GpmZ1czAFXuYmaUVDOjtBqv7mJt8272dueXq4Q9Ii+ohKaKMcYuWB9tZ72WngBn3f4cz37mHGpK3Egp+dWavTHLFLt0ZtQUM6ummJk1xUwuGyz8SwvbpSBd7Za/v5/ujjZLRNTRTndHG/29oxdhbMdTVMyC5acmnf/s7uP4QtmVmz71VgstvQFqi10IIfh/N5/Jv9+WXnLNtRfM4dbrl0WeHTr8QW5Zs4Xm/sJ3/c0U+2ljZhgZm09Mrynm+rPtCT/8HauD/hpsgqL+QIjmTh8tXX72He/lYGsv71s9m1Kv1db1sw+fFr/pe7HiiDzA14eoxgYshwSFouCRUm5hBCILKeWHsVxGks3/PZbD0ZggpXwByzFpTJFSXgdcN4z1vgt8dxTrEcJyibkvw/VeYJiOUlLKn2JFS44KUsr/Af4nzWU3A64hF0y87t+JFbONOVLKf4z2PqWUl43SdoaKKstkW36s++a9o7hNA3gy/KNQKMYBSlSkUCiyiQDuxhpxBMBDuw+zqW1sGs/GG4G4Uef3nL0EpybQhcCphV1mhBUhohF9DeCIa9081peZ9bsiPaYUubmycTKlztS31/7/z96bx0ly3vX97zr7npmec4+ZvaRdSatdrS5LsixLPvEF5jCYvAAD4QiBYBNu/5wQwDFHAoYXwZDEwQRsBxNDiDlMbGNsjC1L1mXJknalva/Zndk5eqbvruv5/VHV1dU93XP2XLvPe1+z3V311FNPVVc9VV3fz/P5Fot8/ctfopBb3kj49cBUlA0RFEmaiesGcd1gQHgUbZucVV3gzNOOKxcvYv1jjfseeRgzFlsw/1KpQH8sQTJIafDGXcNdERVFBT2bFYPevo/Htza253Fifppj/SMA3D80IkVF1yHRVEsb5Ta2GjrFYFcaINvuTkWdUJWVOhUtkkpNUZYtar0eiLrtaKq64FrmuxWd5ZGdvmNGfyzB4d5Bjs+3F/usRfYwWysxWyvxzMzWHVARTdd2Ix0nNwJbUaLd7FTU/Rbmqw73/cbn+Zev3M+LV+d5/vI8t+/q4cBgigNDaUYyC++pV0P0Tr7dVlTLJQpzsxRysxRyMxTmZrFqG/N7XFU1jtz/MLrRPnY3Uajx2MWN/01qe4JPPDfOex70nWLuunWIV925i0efvbLocq+5dze//pMPhoKisuPyc4+9yMXijTloaleqEUu+NFNepOTW5he/9fbWSb8K9AH/pz5hOl/lm//TF7k27587b7xjJx/64fswFk8RWz893wPs6FDmU8DTwIfwXVwkEolEIpFIJBJJG6SoSCKRbCQ/Afyb+ofnZub5/efPLVJcEsVyG09dFUXh7qHeRUq3x/E8dFVl+gYcxbfe3D3Yy2t3DS75wH5m4irPPfpl7Fp3vwMjZqJpevgku/6gVXgCz3VxXQfPjTzyVgIhmqqiaRqW56FqKigKnufhCYEQAtfzcB0HtyV9GU2fGsdma/hJZWHwspE+TYAgEMQF7W0qu7zgQtQpQIEw7VddYNdapmk5sdAZRwn+vKA9ouPyLFDaCBr7QAU0RSWh6cQ0rSl9jaqo9Jgx0rrBvFVjzqotGfCfnpzky5/5HK98w+tIplIL5l8q5bmlbwCA0VQcQ1Ww1zhiNRrf2ajgot7ytW8Hd5HtyjdmJ0NR0VB8YQo0XVHQFBUtELDqioqmKOFnTVEb6RNppExUFP/Y14JzWwv+wD+Oaq5L1XUpOTZzloW9whRXkuVjKFGnoq17LnUKJq80/dliacK2Q1/iCdF2X6w0/ZlV7RysThs6s12+B9nKPD/bnLonZcQp2s3B5zP5qxzr309fLI2iKPzAoWM8cW0cR3jYnovtCWzPpea66E0pBa8/ok5FyxE9S7Y4UQedzWtFR6L3vuuVnW13b4Ir8xXu3z/A2+/YtfQCa8DzPHKzM1y9cJ7inJ/GrDCXw7E3T6dw+L5X0dM/0HaeJwR/9cJVNsvg5r8+foFvP7yDsb4EiqLwb955dFFR0bGDA/z3f/e60JXQ9jze9/gJTuQWT2t3vRLTVHYmG8K4x05ObWJrVs/+4TRvuavJaOEXgSfw0+OEDPbE+V/vfoif/OMnePlKnl/81tuXEhQB/DDwQeCXOsz/JeADq2u5RCKRSCQSiURyYyFFRRKJZKN4G/B79Q8v5Qq89/ETYfBfsjS5mkXFcUnoq3fc1FUVIQROF9t1o2OoCm8eHeaWvvSi5YQQnDv+Aqe/8Y2uBXaTmTSjNx1k5779xJPJFS2bNnRev3sobNvj1xYfFQrgOA52zaJWrVKtVKhVq1i1GrZl4dg2lmXhWBa2bYfTPM9tEjopigKKiqqo4WfLquG5ri8u0qIBcK+xnOqX1zQNMxZDNww0TcPzPKxaDataw6rVqC1z1K9hmOiGjqbpqJoaBmxFIKZC4E/XNHRVQ2mTkqEu3ArT9tS3L5jmOg5zM7PkKsVgn5v0mXHMYFvADxRn4wnShslUtULFtResJ0ohP8+XP/NZHnzD68n0NgsL56xGwEJXVfakEpwprG3EatSpaDGXD01RyBgGGcPAVFUM1ReU1AVZwS5tOvaVQIxSL+cKgapASmu+PR1NZqi4zSlY/K+jzXdCQ5xQn1tP6q4EIrPFglZC+AGuqJjMb3vklYbYrF5V+L13CNkpkTfRdhGpUwkc5ghehfD3iQja40X2Y1240yzmUYJpjTU22levPxAHqSq6ohLX9FBsqigKP33kKGcLBfTg+9soirYvLspZNaYqFaZrVaquTLvTDYxI37W1nYo6pD9bqahoEUefrSyqquMIF52F2xBLNLtpLLUt1XIZz/PaipGypnlDiYoulcvYnocR7IvvPvAw81YJaD7ueszm+6j7hrvmJL+tiO4TKSna/jRJ9Tfwur5comKWbjoVJQyNu/f0cd/+fobS3XEjasVxbAq5WfJzMzx27QSKVSKXy3GtUOXMbGld1rlSbr37AYZ37+k4/wtnprmc3zwH47Lt8rGvX+Z9rz0IwN23DRM3VarWwt7nrluH+LNffzNa8FvRE4L3P3WSJ6fmFpS9UdiVjDcNzHny9NZKp7lcvvUVY62TPggMAwvUcDftyPDxdz/Ev/rw46TiywppeMD/Ato9rPk88Bsra61EIpFIJBKJRHLjIkVFEolkI7gV+HOC/LPXKjV+4bHj5C0pbVkJlid47+PHecueEVTFtwx3PIHjeThC4AqBJ/wHbJ4QuKIhArh/JMsdAz2ATGXQTQZiBm/ft5OBmLFoObtW4/nHv8rU+NrTUYEvdrnlrnsYO3ho1QGC1RwFuq6j6zqJ1MoETBuJEMIXF1Uq1Go1hOfhuh66rhFPJoknEuiGsWGBFc/zmBy/woXTp7l25QrFUh4FhcF4goxhhu0wNI1dqTTzVpXZanXR4H+lXOYrn/sHXvXGN9DT1xdObw0yv2V0B396+iIFe+V9ramqZAy9SYCzM5mg5nmhM42uKmTNGEPxOH0xs2sj4E21WTh5tH9EuiWsI/NWlYG4f06PptKMlzc+dULaMEgbBqOpFGT9aQXbZqpaYbpaZapaIVeztrQoZquiq9vDqahTn7xSUVE7AWhY1zY4fmquQ1xbeE+RSqeb+uPlbEkpnycTuUbUGYzHOFO4sVwdpipVdkXuXXrNhW5/q8Fyt/9vGUPV+MnD92K7vivTcKKxb27vG0AIQcV1qbo2Zceh6jqUHJuK41B2HXl9lqyJ6HVJW6T/Xi57+pPcv7+fo7t70btQXx3PdSnM5yjMzZLPzZDPzVAu5sP5xo4MPQk/vdhWuNYqispt9zzAjr0HOpY5N1vmi2dmNrBV7fm/xyf4+YdvwtBUdE3lx95xlN/7xHNNZfbuzPDxD7wJQ2/c0/zOc2f4wvj2FNF0i4QevccDZ5t2x/fd3KQdehFw3et81AAAIABJREFUgSp+KrIFqsCBTIw/e89DxIxlDbabAO7rMP37gnVJJBKJRCKRSCSSZSBFRRKJZCP4Q4KRQWXb4RceO85MbXE3Dkl7npqa56mp+RUvd6VUDUVFlnz43xUO96V54+hwkwtEO/KzMzz7lX+mUuzOiNV4Ksldr36ko439cml2jNl6I5dXi6IoxOJxYvH4ZjcF8J2Ido6NsnNsFKtW4+XnX+DMiRNMVcvM1qrsSCSJaXr4HfSacRKawbVKiZrX+RlnrVrl0X/4PK96w+vpyfoqDK3FoSNtaPzIob386emLzC7R56oK7EsnOZBJsSeVoNc0gumNY+OO/n72pBd35OoGrYfjVgjOXM/M1CqhqCiuaWjKwpSFm0Hd+epApiGInalVmapUmKhUmKxUcIS8ni2FEREVLeY21oqp6sQ1g4RuYqgaehsHIAF4IkiXiS9ujp6vrc5edSlM3RGsvqwrPHRFQ0VpEcsIxApzsiyaJmzzD+slqbgWvSQWTE9l0qw0eVF+dratqKjPNFfbvG3Lpy5e4sdvXbkQe6I877skKiqaooYub4qicL4ww9XKyu/JtyJjqfYplfdmetmbWTzdcv2cr5/r/rlNeG67QSpdW3g4noft+eKlmudiuR4Fu8Znx89Tdra/QGtr0pwieKsRvYqv1qkobqjcNZblvv39jGS640pUKRWZm7nG/Ow0hdwsxfxc6KDanq2zd3XD5MgDr6Z/eGfHMvNVm088N74lLovXihZfODPDmw75Dro/8PbDTaKinrTJX//utxAzGwKSP3jhHP/33MSGt3WrER2kp6oKbz62i888t7T78FbiR19/kAcODkUn/Urwmge+H/gQMAQ4wDPA3YC+DEHRp4DPAL/TZp4HfA8wudp2SyQSiUQikUgkNyJSVCSRSNabUeC19Q/vf/okp+a3hh34jUSP2ejua64Mwq6FtK7xhtEhbu5ZepT75TOnOPHUk3hd2uf9IyMce+jVmLG1C2ZaY8sKCmJLPFq+fjFjMY7eew8ju3by7ONfo1wqMV4ukjZMhuKJMG2PqWnsSqa5Vi1TcjqLgXxh0T/y4BteT29/dsEI77ow5Adu3sPL80W+PjvP1XJzioOMoXNnfy9Hshni2uIPZzdK3NMalpFH5foyb1VxPQ8tSIG2J5XmXLGw2c1agKYoDMcTDMcT3J71A9aTlQpFx8bx6uIU/88RHo7XELnUj6F6GjsvmOYFAfCa6zZPiyxTT9GnKX76OF2tf1aJaRoJTSOp66QMg7TeSP9nBPszmrrOa3kv6sF3hJ/GLpKer1N40g/cRwU7/lSvw7TbehuiEk1RuKN/D7TsEwUFXVHRVQ0j+OtmGprlsDPR11bwkTWTlIK0VM1ypfBtUx+RjaUYjvfg78EmKRNvHbsTV3gQfA/1eY10h174/XtC4AgXx/NwhYvluViug+U5bcVsDTGFL6QQwatfl9c0L1wHXvhdgp9uUhEKKT2Goeroioqm+ulCY8Mup/Rnm9bZY+rYnsDyPNw24qvCXPuUMGljcXfF65EvXJ3kTL7I3YP9C65l0W8zrWt8x7694ee/v/QCOWvj3dvWm6uVeVzhLRAjr4ZG+k9AUVhNkuZHdu6h5jpN/Ve0r6vTmjZUBB2AoPlcZkHq0sb7Ru2NviMqjCJSNpoO1RP1VKTR90HfG57TjfVGU5bW5wvq5Qjrap4XCC69ulAz6JeC89uD8LoWri8i4grb5OH3L41vpuXd1iEqdl2psdBYNsF9+/u5Y7RvyUEeS1EpFclNTzI3fY3c9DVqlZU9r1ipk9x6kenr58gDD5NIdR4EUHM8/vSZyxStrWPQ8uEnLoSiop6UyT23DfH0iSl0XeUzH/pW0snGdetPXrrIn53qjvvvdudyqcrp+RI39/rPJX7/h+/jz75yll/+5Dc2uWXL5413LBC//WXk/SeBvwD2AvNADngI+PIyqj4F/H9AO4vlDwJfXGlbJRKJRCLZ5lxqM+3yhrdCIpFsa6SoSCKRrDeh53auZvHlq7Ob2ZYblkxEVFTZrr7YW4A7+nt4ZOcAMW3xIIzrOBx/6gmunD3btXXvvfVWDt159+IuDCug9YG3oiwUGknWh+Fdu3jtN7+NF55+hgunT1O0Lcq2zY5kinjgWqSqKjuSaaarZeatWse6ajXfsejBN7yevTubH8pG3WZu6U1zS2+avO3w0lyBouOwL51kXyaJusww00YdHsttj6Q7eALmIinQhhOJLSkqakVVFHYmt24qxjqKovjH9CYd1j0RVxpFURiIdSft00bR5KoXeacsnAiApmnoantZg6F256evCIVrLpbnUHVtX6y0pjr963BCM+k1Fx7X2f7+Bdf/pN7YHk8ILNej5nmhyKhWrbZWA0CsS/cR240LpRIXSksLBb59755QKLPclHmaotJnJsjGUvSaCcyIMM8XpvnHixsRloUCs8C1q9XBq17GCURqjbLNZVaT1q/sWHz81Ne4uXcYMxAS1oWFt/btCMt5QjBbq6CralBOxehwfq2VmCYfTa033Ugv1m2ivz3UZbQvpqvcNdbHK/b3s7Nn9YMsyqUCc9PXVi0iaiXa8s1w2FQUhbGDt3Hg8DHURQYJOK7HR5+5xESh82+LzeCp8XnOzZbZ3+9f/97y0D6ePjHFp3/vWxjub1wT//rcBP/jxMXNauaW5MPHL/CfX3kY8M/xdz18E48c3sHr3v85trpB9WsOj3BifJ57b2pyYP5OmoVFAjgf+fxoh+pOADuBupr+5zuUexn4DyturEQikUgk2xwhxLuAd212OyQSyfZGPrmRSCTrzbX6mx7TIGPoFGxpb7/RpI2IqMjdOqMStwt9psGbRocYSy9MSdJKuVDg2a/8M4VcrivrVjWV2+97gF37DyxdeAW0uhKpirKi1DiStWGYJne98gF2jI7yzKNfxbYtrpSL9Jlx+mPxMKA5GE+iKyqztUrHsKFl1Xj0Hz7P2Ld9G2QHASjaTluRWErXuG8ou7xGblLsqTWmJB201p/VpEBzXRfPdRGeF7oqUHcGEgLheX4Zz8OrlxUC3TAwTJN4MolxA6Zh2miUbSPSa99Ob4URsW4JbxdDURQMxRdiJDDpEWB5NmXHouJaq6zTf7U7pL1UVZV0JoNVqrSfryjEdY144BPjCUGfrpExdP96EClr3KCiouVwZ3+2yTGr5i6eOjRrJhlNZRlOZDqfa+ujwWnCw08zVhcbVRwb23MxNQ1Q8II0ZKJF1DRVKSwQMh3qHQkFUZ86f4LzxbnQvc0NxE+q4h9zflo4BVVRQ8FR/bVViBS+KmroiHakf3j9d44kRNuC6Y6jorjF2re7z3clOjbah6mtfDs8z2NmYpypq5e7IiJqRYv0q84G37b2Dgxz6Ni9ZLL9i5azHI+Pff0y53LtryObzaX5SigqGuhN8InfeDM3jTXcFr9ydZYPPnd6s5q3ZXl0Ypbf+vpp3nPHgXDg057BFB/47jt53yeeXWLpzeH7Xr2f93/3nZ1m/0/gePDXjnYL/hfgp4HHgVdEZ3ieaBUs/hrQXnUtkUgkEolEIpFIFkWKiiQSyXpzEj9X+YimKHzngZ38z5fbuS1K1pOU3oholGwpKlouCnDvUB+v2tGPvowH8ZOXL/HC41/FsRYPQi2XeCrJXa9+hJ7+gUXLFWyHxyZzXCxWGikdggfa9XQ9evBaJ2PovHlsJPz8pauXyNu1SMqfusMGqIoa1KES03TimkZc04lrelOwyAzeq8r6h7Ed4eEI4W9XF9J3LIXXTtrSJo1GfXSyusx27Rwb5eG3vInHv/hPlAoF5qwqlusykkyFQb2+WBxdVZmqlOgUXndtmye+8EWG35ZieHiYuQ7H4EpSGrWWbJNdZ2E7XBfbsnBsG9dxUBQl/KP+GsEXpHj+saZpvhBFUZkKyqqqSjGfXyCQEkK0FxsEaUjqf0CYgkoIf11CiPa2XMH6/PaqjbarjW1QVTXcjmjKwHqdnUanR6dH26VE9kl9m3xBjkBRFTRNC9rgp0BS1EbZcFvxBTzR7W5qh2iu2/NcbMvGcWxc28G2bVzHZjLZi+e62LbNeD7PeCEfCodcx8X1XFzHwXM9XLc74uBEMkVPto9MXx892Sz9Q0MkUtvLSWerE42jbGV5XqeuaSuKilpRFIhpBjHNIOPFmbfK1LzVnSOLiXu1JVJURlEVhaSmMppK4gko2DYlx8FyffGIFqbmk9TJmiY/e+S28PNUpUC1TV+nKyo7k72MprKk9NhGNrEjKqp/riv+MZLQVifYVIM0j3UO9g4wmu5d1rJ1oZLreaEjUz0VZTlIU+kG925u8P7rM1fZkUyjK6rfBwg/BWT9HhQBKPW0ZyIUbil+vkgUUf+sNPq6SB3gT29ajuAWQKlfj5UwjVpklf41N9gnir+ywHVOQRHBvqJ+fwNhzxPcAyv1V+rtUcL66DRfIayzPs/frpY6IynnOq1Ha9MXbsT98kqJ9nmKAklTI25o9MR1skmT/pTJrTt62N23OleiarnElQtnuHL+DFZt/cQ00Wut627M1bZ3YJi9t9zO4M7dS5YtWQ4ffeYyl+a3rpZiINnotx44OsJQtuFQ9I2ZPP/hyZfYoF277fjU+QmenJrjl+45xNGBHgBef3QnbEFR0cff/SoevGVRQWka+BhwP9DuZirT8vkc8LP4GSJb57VzQPvZoH6JRCKRSCQSiUSyQqSoSCKRrDce8OfATwH8yOG9lByXT565srmtusFIRZyKSo50ilouCnBbX2ZJQZHneZx+7lnOneg0oG7l9I+McOyhV2PGFn+IfqlU5W/OT6zYgarXbL4FKNgWRac7Yqh60CSmaQtSWdWFN17wqih+kENTlHBaPaDTtAwCLxBHWJ7bFBxXFYWYqhHTNEy1LnjyR8lrih9oc4TAcl0qroPlutieh+25OOHI/qDtkUDUWlKLAAzGEuzL9LIn3YO2iMwq09vLw2/6Jh7/4j+Rm5mh7NqMlwrsTqbDAHnaMNEUhclKeUGaHUNV2Z3M4NgOf//3f89b3vIWzne4xVuJ2EvBP7Ydx8HzPKrlEhXb9sUpgQuNY9vMz84yPzPD3MwMpcLa02bFNY3zmcYz4XOF3NZWQ1wnzCZSpA0/oGO5LjMbkAKtUi5RKZeYHB8Pp8UTCfoGBskODZIdHKRvYABNlz9ZVktU4rkZKVmWR+eeaTuIiqLoqsZAPEPJqZG3Ku3kqKvGi17nl/FdKsG+UBXoNQ16TQMA1xP88KGbG/UG19Wa66dOs4M/xxNYni8MsT2PiuNSchz/z3aouO6md81pXWcgHmMwFmMgFiNjGqR0LRSpOJ7AFQLHC8QswXv/VQTTPAZiMb5r3x6MiHDrSnmOHYmeUCxjqjr98RQjiQwqW0+c0Q1ahcfOCs4/X5CkrVt6tGXT0p34WxCqwBuIljdKY5IAvPq91ioP8rrot+4QJfDT5AHhvWW9jCfqAqGGKMgLl21up4jUD76oSFNUdEVBU9Xg2FfYmUgz1iIIu38oS59pYAfOVH49hOeGKwRu/ZwJU/CJMD1jVMRUP1ZUvxGoLe2vH0p1sVOwi8PlNEVBUxRu6kmH7ds/mOLfv7Uh7FstQgimJ8a5cv40M5NX2YibSCUiXFhP51cznmBo1xi79t28pDNRnclijY8+c5lcpTu/89aD3rjOTQMNEVFUUHQ2X+IXHjtOzZUy2MUYL1X5P2evhqKihLn17p2/79X7lxIU1bkb+G3g37aZ91jw98rg8yeAe4Ai8If4rkWLcQx4CPjKchoikUgkEolEIpFIGmy9XxkSieR65NeA7wDGAH7qjgPs70nywWfP4GzZANf1RTLiVFR2pFPRcvGAz1y+xrsOjnYMec7PzPDi1x6jMDfXtfXuvfVWDt1595LB0aen5/mnK9OrelTeuj3dDHz6KTIE5WUL2NZ2THpCUHEdKt1wT+lilzRdqzBdq/DS3AyvGNrJYKxz+rxYIsGrvumNPPXPX2ZifBzLc7lYKjCWyoSjzRO6wc5kmolyEScIdpmqxu5UGjUIVFmWxUf+9yeJ7b2JA7cfWXF6KduymLx0kWvjlynMznI53rhVPJvPU1thgH81bL3kHDcGJccKRUWGqqKirFpQtxaqlQoTly8xcdl3NVQUhUxfH/2DQ/QPDzEwsoN4culUlBKfZo3Ayr9P27Iol8rYlrVAlKSoKpqmoUZelcDtq77uutNW1JUrdP2q17PI+t0VCmZX4uaznqT0GKaqM1Mt4q3AD2gxDfNKBVbtnEqgffpTX4y7ourxhGDOspit1ZipWUxXq1yrVrGXY2u3QhSgzzQZrAuI4r6IKLbE973U4ZDRdW7p6yFrmk1OenO1MqqicCS7tAPI9USrENwRMoi/WuqOhgtNMjaPhK7Rs8WEBmZkB63V57RaKXM1cCWqVctrbdqKiLa8m/dOumHSkx0gO7yD7NAOMtn+Ba6fi/HslXk+dXwCa4tb/PzA3aPE9YUd9kS5ys88+iIFWw6KWg4Lh/JsLY7uWWYKbp+fAkbxRUL/HJluA68BvhPowRcIPR7M+wvgA8BtwE58t6N2dwL3IEVFEolEIpFIJBLJitlaTxQkEsn1yhTwOuCL+A8GePu+HYymEvz7J04wb8mHROtNXGsElkpSVLQirlVqPDk1x31DfU3TXcfhzPPf4PxLJ7rm/qBqKrff9wC79h9YtJwjBJ+7PMXx3FqcRJofO26GeOBGoejY/NPVixzsyXKkf6ija5Gu69z3mkd49rHHuXj2LK7wuFDMM5rKYAaR0ZimsSuVZqJcAmB3KtPkLDBbs7hariJOvMilUycZGdvDyNgYAzt3LRpsL87Pc+HkS1w5ezZMbaWiQLynW7th9chDc0MoO74LVT0FXH8sxnRt89NkCCHI53LkcznOnzoJQHZgkMGdO4gnkximGaSJU9F0DU3XfZGLrqPpelOQUlWV5jR3qrpqZxvXdXEsi1q1Sq1SoVIqB85LZVzb9h2+XDdch6KozesP2lBPayd8G7fmlHptqAeq/TR8jTR6YVq+6GcUKqkUE/E4qqpSdWyuVHPN5YPUP45tY1s2Vq1GrVqjWqlQKhaxataq9s9SKIrif0eaiq4b9Md9Z7YmsZGq8OTjT1AulcJ5alSgVE/7oyrh93zm9GmOv/Aimqaj6xqa5v+pWuO9FgQu632iqvj16oaOpmnouo6hG8RiMcx4nEQiTjqTxjRjYTrFttujqei6jhrUoWkaWTNJziqvQFik4DgOU9emmJ6aopDPU6lUqFQqPPXEk2iKSjweJxaLQTJJMpXqGGDu1Od3q0tVg36iPxaj7nskhGC6VuNqueL/VSpYKxRDxVSVbMxkIKh7MB6jP2aGLi/d4v7BAXpMY8H+u1bJc7Wc7+q6tgvR+4m6u45ke9Luu1tJCtx2ZE2TrGlgaCpJTWtK2wYNUVrD1QjC1G31d0HZsuPgCMHORMORdTXNE0Iwe+0q4+dPM311nOX2cLqqMpjx+xWB4FqhhrMGJ5yoeGy1+vtEKkO6L0u6N0umN0u6L0s8ubqUsDXH4+9emuTp8fnVNWYDObazh594YN+C6RPlKu/5ygtMVdfnPuS6pNXqdx3Z0RdnbCDFrbt7uZIr84UXJpY0UXzs5BTf9cq90UlfBX4cXxTUbsTAO4K//wD8x8h0C/gzYATfnajOdwWvJeCtwEvAZJt6pW26RCKRSCQSiUSyCqSoSCKRbBSngXuBvwIeBLh7qJf/8Zo7+dmvvsCl4uYHLq9noqKiihQVrZhHJ2Y52JMiG/NTh8xOTvDiE49TLhS7to5kJs2dr36ETN/iI/gKtsOnzk8wWamtaX2tI6flYPT1RQAn8zmuVko8OLybHqO9g5Cqqtz14CtRVJULp08jEFwq5dmdTBPX/ePPUDXG0gvFPpOVatNx4Tg24+fOMH7uDLphsmPPHnbu3Uff4FCYTmpueprTzz/H9NWln63K4OJ1joCy65BW/WMzYxhbQlTUjtzMNLmZ6a7UpSoqumn4YpZA5KNGrplCCDzXw/NcPNfFDd5vF+YTCXrNGAA112a6uv5p7ZaDEL6QybHBwsKw2l+ECvk8lXJlRXVfm7jWjSYuQDN0YrEY8XicVDpFb28fmUx6yeU8oCJsVC0Qu6kqauDs5IudfKGU47h4toNSsdu6EuXzeUQQ9BZCUHFdNF0nncnQ09tLpqeHZCoVCrOUTk5F69iZK4rCUDzOUDzOHf1ZQDBbs5ioVJiq1MhZFnXpnKmqJDSNuKbRYxr0mzGyMZPkBqQ7PJrtozfWfB12PJer5Xlma6t3OCkXS0xevcrczCyO7aBqKoZpYhgGuqGjGwaqqqHrDaGb2nQ8+AI3TfXFb375jUu1tlbRiWQrsfBEX8uR1GsavHJ4ZS45S9XXSk/C4I2Hd/i/UZRGarVo2rVAp0SlUub0yZO8/PJLKMUiozqMjvUR0S0BjfetzW51ctvZG+fpC7mubNtyBmokM730ZPvJ9PWT7usn05dF7/DbYKW8MFHg716aJF/b+gO3ju7I8LF33knCaBbBXi1VefdXnudqeW2/d2801ltT9K33jvITb7qFgzsX/g799DOXefcfP7no8n/z1CV+5PU3c3g0HKz1IPBc/cNsscaP/LfH+Kufe03ror9As6gIYBj4O9obXqaA9wR/rZSA/7doQyUSiUQikUgkEklbpKhIIpFsJJP4jkUfBr4fYHcqzkdecye//dwZPndpalMbdz0Tk6KiNeEKwWcvX+MdY0OcfPbrXD59qqv1D4+OcuSBB5dMVXWpVOVvzk9QWWE6mHa0Pn1zV5CeRbJ6CrbFP165wIMjuxiJtx99rCgKdz5wP4qicP6Uf6yNl4uMJFKk9IWuCgATlSrXFhGaObbF5TOnuXzmdOAQYuA6dtdctiTXB1slBdpG4gkPq3Y9B60iziOb2IrV0kkYsxm4tkPZdigXS8xOz3CJiySSCXaN7mZoeLhj4h4VMIRCuVoDFj/WNFUjo8fazvOEt/Da7TjM53LM5/xguKpp9PT20tffz4GDB9vWs7HHQcPNiL6lS28UIxF3FICJ8jzT1SLuKq6Jnudx9fI4Z18+xeSVq91qYojv0KX4IiRV84VHoQOXiq757liaroViJFXTiMViCCGaxGu+k9tCUVPdNcwzE5T0dDi97l4n2X60O5TXIhrrMdrff3YTQ1MZyrTv/8AXU46Pj3PixAkuXLgQii9NY+1pLzVVxdRVLKe7v4dUVSPV2xc6D2X6+kn19KEbC0VVa+VCrsznTk1xLrcyIe5mcWxnDx975530xpv3xZVAUDQhBUUrZq0pBBfjppEMv/uDrwg/u57wNLVhIfi2u0f5+rlZ/viLZ9ouv2cwxVvv2h0VFC3gp//0KZ49n+P2n/kbXvydt0dnpfHTnNVTlu0BvgDctEiTLwHtcpj+FtC9kWESiUQikUgkEskNhBQVSSSSjaYG/CBwHPhNgJSh88v33sLt2QwfeuEctrcdw15bGzMSEOiGIOVG5HKpyuce+xr6+IWu1akoCofuvIt9tx1esuzT0/N86cp016Q/6x0YkHTGER5fmRjnnsEd7GvjOAQNYZGqqpx9+WUAJisldiRSpFpGMk8uIShqxXcIWUYqgU06ROSxuXlUtmgKNMnqaTqbtqiIsO5c0+7Mj8VilIuljW7SsqmUK5w5eZrJiUkO3nKIeKx9QNxQdTTVxV2Dy5XwxJIBQ891mZudZW52FrtWw6rV2D02Rra/n56+PgzDkGJSglMh2JXT1SKTlZU7eFVKZc6dOs25U2eolFfvbrQUnuf56ZQ2YFBAXNN5MpHx1ysEF4pzgJ9KTwkclJRA4FRPR+inFNR9UZNWf9XQdSNIKaj7r7rupwXU/c+qqoXX+6bXyCEeTRVZP/bD9IcQlo1Oq7+PHuf194rSaLu811gZrb3GdLWGKwRCBH248MvU/xACL0ihF/4J/7vQVYV9maXTetVqNQqFAvl8nlwux6lTp8jn1y814VqPiGQyyeDgIO6gSllPksn2k0hl1l2Yd3K6yFfOz3J6Zv36oW5z164ePvrOu+iJNT+SPpcv87NffXHNjrw3KtFurRtX+v3DaX7gkQPsHUrzyOGRpnlRQVGdd7/lVj7x6Hkqln+9umNvlm+/b4xHbhth3/Dizo5//uh5vnzCd5qsWC4P//Jn+fR7X0cmEYrOPg28FigAn8cXFnXii8CvArtapl8D/mDRhkgkEolEIpFIJJKOSFGRRCLZDATwn4AzwB8BvQDfedMujvRn+OjJy7wwk2emZm9mG68r9MjDzGqXR2DeSJzqGebW6QmULrhamPE4xx56Nf3DI4uWc4Tgc5enOJ7rbsqa1gfn8qjYWDwET05fpezaHO4d6FjujvtegaIonHnpJWKaRlJvHs27lENRN5Fh6OsfsY1SoEmWx3qnwugWnhBobYL86XSa3MzsJrRoZRTzBb7x7HMcvv0w6fTCwJkCJDSD4hKiosWC2p7wUJXlO3II4PLFi1y+eDGcFk8k0GNxpi3LT/enqmiajhEz0Q0D3TD9tFu6gRYKQgwM0ySWSBBPJtG0tbuCdJtSoUAhlyOfy1EuFrAt/zeEqvnbp2kaal30omnExi8zkEyg6zqKqjBRzkEgktHrAhldb3L+0YO0bJNXr3LmpZNcvTR+3Qm0moQ2kW1zXRdcF4fr57dZ6OBUF0rVU2CqKkII/8/zwu+4Pl8JyrSiqPX0mVoohvJTG6qhAMux7aCsGgi1/PoUVYX6OoVAeCI8dlvFT63CKwDHcXAdB8d2cF0H13HpM2PsSPU03Kg0jauVGuPVWnDcN7ZB0/TQAasuHvNT8fnHPoASj5GZyyCEwHJcvjw53WivrxYK3kP9ahPO8z80lTeAm9NJdDwsy6ZSrTJXrlCzalg1i5pVw7HtsL5QrFR/FZHPUQFZ66uoLx15jZy2yxE3tUM3THqyA2T6+unp6+fwcX9QAAAgAElEQVR7Xn+M3h5fkPelszNczq/vvdNkscYLEwWevTrPTHl7nZf37O7lo991J+kWQdGz0/O89/HjFGw5AGq1NAvJ11bXT7/tNt79lluXU/TXgZ8FYr1Jkzv2ZrEdj5/55sM8eMvQstf3d09fbvp8eabMv/rw4/zJTzxIzHcj6wGe7rC4he+EfhGYAU7h74E54LeBHwdOAv8K6E7+ZIlEIpFIJBKJ5AZEiookEslm8pfAk8BfAXcD3JrN8Ov33wbAl65M8zvPnWW6ugxHDcmimJH0Z1XpVLRqHE1navQmhs8cX1M92aEhjj30amKJ5KLlCrbDp85PrMtozdbnjDK5xebwYm4ax/O4I9v5oevRV9yLqqrYF8fD4JIQgivlKjO1tfePKgq9poHluZQiTgitwe2heBwhGqNg6yPOPQQNgzmxYKS6oBHwiR530fqjrgKxloB1yjDDQFCUdo4d9Sl+G+ufRNMS4XIL43KRkfaNgBjURXeCRmxMRGptbMNStCsSxt/C9ijh+ejVR/+Ho/3Fwu+A6DzRFCxbDTdiCrTrme3yzbnCQ2sjmOnL9nHpwsU2S2w9XNvh+AsvcvTYHSQSiQXzdUXFUHVsz1lx3asRr7Trk6qVClapxNwa7q2NeIx4Ikmmr5dMXx+ZbJbebD+xNtvcbTzPozg/x/zsLPlcjvzsLIW5ORxrZUH1C5rCTZlMuI/yVoV5a2kRQD0l2PWKus3TJa4E3wHKu66EUlEsw8SLN2f4uVaprvo3RZ9pcDnt/25xPY8X59Y+2OHEmmtYGwvSwXW4j1MUlZ7sAD39A/T0DZDJ9pNMZZrKpFKpSPmuN5V81ebCXIUzM2VOzZTIVbbncXvv7l4+9s47SZrNj6L/8fIUH3j6JJZ0rF4T0et+u99OS/GKmwb4odfdzJuOtRr8LMr7oh/+6F+/klRs5aGGj7/nIb7lN7/AK24eZCAT48xEgc8/f5V/85En+G8/ej+61vFphQC+D/iLDvN/PviTSCQSiUQikUgka0SKiiQSyWZzAT8/+u8CPxad8ciuQW7PZnjf117ixS67tNxoJPVGoG5OOkCticlEL9nBEYzpyVUtv++22zh47K4lrfDPFcp8+uIkVXd9gldeS4BSQ0X6FW0OL8/P4gnBnf3DHcu88w3fxEvPPsezzz4L+A+NB+ImA/EgFZroEABsEck0z/KnJXU9DKxYrocVOGkkWsQ9vWZz2rWNYjixulHkNzqLiRDqQi+3aXR/kB4mElRWFIWDvb3YEbeGBfXUlxaN12angNZpQUoU0RBN1XueqAxMaflcF015Aj/lSljKr88L6vPEasIoNwZbOdmPI1xMFoqK0uk06Z40xXyxzVJbD9dxOX3qFEfuuKPt/jZVbVFRUafvyPO8FX9/HR2F1niC2NUadrVGIZdrmp7q7aF/aJj+4WH6R0ZIpNbWd1vVKoX5+dCBKJ/LUZjLIboQdLZcQdF2yJi++19SN8lb1SV3zfUsKJJIbnQaInGV3v5B+gaHyQ6O0JMdQNM35tGpEIKZss2VQpWJQo0ref81X1u5GHWrcf9YHx/9rjuJG83Xpk+cGucPXjgn7926gB4RFXlLXCt1VeHuA/0c3ZPl1t29HNqZ4eie7FKr+EHgTxYr0EZQ9CjwUeAz+E5CAAPAPwB3RQv+7Xtf17RgrmTxa3/1PL/w8Wf4nR+4t9Mqf5LOgiKJRCKRSCQSiUTSRaSoSCKRbAUqwL8GPgm8B7gX2A0wmIjx+68+ynsfP84T1+Y2sYnbl7imEouM7NqoVEnXM2eH9nBrPoewlj/SXzd0jjzwICNjexYtJ4DHJmf56mRu0XJrZYGoSFWkpmgTOZXPIYC72giLdiRTZAyT++67D1VVeeaZZwCIr0MKGlNTm5zNJNuXxZyTfCMnpY2Eoz3GEiLIrUa7VChtCoXzRbty9ToirledUompLXUotBeHNK2nRfzU6ny1XDptX316tJ+I6ybDSm9EZNjsINbcooXb3HGbAlGXQKAqCq5YeDGpfydKYMkVdd+qX480VQ0bE23Jnj17Of7Cix22dOtRzBeZnppiaGihA52uaigoHR0E2jmwwcJr9nLodCytV+C2NJ+nNJ/n0unTACTSKfqHR+gbHKR3YICebLZJUC2EwLYs7FqNWrVKMT9PYW6O4vw8xbl5apXKOrXUZ7JaIW346aV0VcPUNGo3uJvnejisSCRblqAzVFWVkZERSpkxzMzAhomIPCGYLNQYz1e5kq8ynq8yWaxhudefvOYdt+/gt9562P+9GeAJwe8/f45PnrmyiS27vtBb9m87hnpi/NBrb+adD+4jm1rxgJEsfhzht4F/u0TZR4H3A59rM28G/5nf7cA3Oq4sZfLb77qHLx2f5Ff+4jl+5buOtRb5BeAPl9l2iUQikUgkEolEskakqEgikWwlvhD8KcC/w38IocQ0ld984DZ+/J+/wctzpU1t4Hakp8Ve/GJp6fQOksWxNJ2ZXfvpP//ysspn+vo49tDDpHp6Fi1XdT3+7uIk5wvlbjRzUVqfV0cf8ko2h9P5HEII7h4YaZq+N90bCkTuvfdeDMPga1/72oa1SwiBIzw8sTAJVj2dWFMgXInOi0xYAfU1Nepv067FW92S9KyRJmzRClo2o8m1J/KfQnPKtoXJ3To2qz0RS54Fsg4l2Acy2rtsovuq4167QfensQ5ixPUmMTRCeazAlSvdCzy2PxXFcgoti5mJKUZ37GrT5wh6zWQovArTFuL3tZqqoilqRHwWlHE9VtqXapoW9mGt4rCodlREhVydXO9WQaVYYrx4lvGzZ4MVK2j1FSsKruOy5nyNHVAU0IJz3O2QFtJyfUFbvVxCM6m56ytk2upEr3ky7eX2Zp1OresGw4wxduAmvvm+uxgeHkbXdT79/BXmy2t39G23623X42qhxkShyni+xtV8lYliDecGSPf1y68/yA/d2zyoZq5m8/6nXuZrctBYV9Ei97Zu5NhKmBpvv3eMt987yv03D6Iu/rv/KeADwCHgP7fM+13gJL470GJ8BPhRFr+l8IDngRoQa5n3N8DrgDTAI4dHODLWx5Onp3nFzYP1Mn8N/NYS7ZBIJBKJRCKRSCRdRIqKJBLJVkTgP8h4FPhbIBXTNH7m2E382Jc6DmSSdCBjNLp6IQSWTN3QFcbT/fRmB9ByMx3LKIrCvtsOc9ORo0uOeJ0o1/jrCxMU7I2xt9dbHia6N8BD7e3AmcIcHoJ7B3YAsDuVDlOTAcxUSwwf3MsxA7726GPUarVFwsztxTgLtRQKruf6LiGR5VRFwfZcCvbSKWEkG0On77ouG6g7EDUJCCJOO4ai0R/3UxIJIZizquHyuq5jGAaGYWCaJoOpDLquo+s6Jdel7IGqaei6hqJpmME8TdPQFF/0pCoKqqr6r5qGoWlouoamauiahqIo2LUa+fk55ufmmM/lmMvllhX9rDvcqBCuS3LjcODAAarVKrOzs12pr/3Royyn0LIoFYu4tkMs1honA0NbxU9w20VTGkogRVFILnFf0RuLkY21dyHYQaLjckIEqQaJuFgFiiMveC+CFISCxunrIai6LvOW3T5QLoQvJFon0obGUDxOTNNC4Wd0m8L3QVsERK57kDHjqErgIhWIq/yUil4jvSMNd67G9tdTPIrAeWvdNnHdkeLV65vBeMw/PpWG8Lv1viEUVCs0Tevr0JdsN7JDw4wdPMjI2B5M3WDXroaQv5NT3EopWy4np4pcKVS5kq8xUagxU7ZuuHvphK7yl997D0d2NA+qeWE2zy898RLXKst3/JUsj2jKe8cVqAq86+EDvOett3VyJaoBj+G7BZ0O/j4H1C/Wn8AX/vRFlvl0uLDtMj5b5sBIJlrnXwE/xvI1yq8FPgUM46dH+4/AHwF7gP8OvBlgIBNjINN0T/XCMuuXSCQSiUQikUgkXUKKiiQSyVbmi8B3AJ8FONLfw50DPTw7k9/cVm0zUlFR0Sa243rk7MheDhXmEc5CIVAmm+XI/Q/Q0z+wZD1fn5nnn65ML3APWk9iLemMys7aR+ZKusO5wjxCwL2DOxhJpMLp81aF8bKfFi+xY4AH3vp6Tr5wgrMnT+G0OQY3mlgsRv/QANmBAZLpNLqu+YoWIfA8LwxE11EUBUXx004IIfA8gaoqKKoaThOeh+t6TUIoIfDLtQl+Kqoa1Ns8T1ECP6VguXbL1gPpwhOhe4jfbrFgG0QwPawrqK++TZ1QIuXC9QV11repvg2e64b7RXiev/6gXfXtUYOyKEq47qbti6xPVVXSRpz9vUO+WMgwOJ6fQjf896375Eh2B7FA/DBeKvN8br7tNglgRUefbkIqg7FrjEEg6zjMz84yNz3F3PQ0c9PTVJeR9kgJ1h0GRoNtVwGVusipjS4kCJ5Gl4uKNYhMb3aLadY+1b/2HYmGOKNkV3GEH4cREccXJbJMfUqTEGwJ2jmEtUNpetOwv2pqd6Qhze41nVvSKVVXfTlFUUjojWCVEIKa60QLRRzD/P+V8F/9/AyKtryvo6oqhw8f5uzZs111LFpP8vl82xRoq8FbhSBcW6UrVb0PWU3Sw15gKB4nb9nM1GrU3PUXsid1jV3JBEa9P2zDAveyDuVSxkIR2Grwgv4dfGFSQ5RVFyw1C5GAyOfmOqLTmuoMFrpeBE2S9UdVFHYk45vdjA1HN0127z/A2M0HSfc1tBGLXduWS6HmcDlXaarrk9+4whfOdh50ciPwxpsH+cNvO7ogpfKfnx7nv75wHkdaaa0Lu1KN8ztfsfnfP/0w9xxo+yziAvAh4MPAYg/XVOAdwD+2m/lzH3uaX/sXd0YnfQX4PhqipOXwGLADSAHFyPSLwFuB3wB+sc1yN69gHRKJRCKRSCQSiaQLSFGRRCLZ6nwOPyXa6wC+59Aozz52fHNbtM2Ijlhz5QO8rlLVY8zt2k/vxVPhNFVTuenoHey79TCqunhIzvEEn718jRNzxUXLrQdRp6K6I4Fk63C+OI+KwiuHd4XTcrXm9I/xRII7XnE3tx07wpmXT3H25ZOUS91NnZfKpNl7YD9GzERVfLGPL/pRAtca360mmUqRTKeWrlCyqQzEUuxKZQGwPZeE2zml6FytwkjSH3k8HI+jKvPrErDWdJ3+4WH6h4fDaZVSyRcYzUwzO3mNfG62SZAGEQeV+vsm1c/GXOtUmkVFZaeG7a2fE8tWpubG6Iv5fYAnBFfKq7uuaapKnxlrK3JSgJE9e0j29TJx9SpzuRxuB9HKcv0mlA4fGgKtqBilfa3RdCPRQOl8oUBvf39YW1TH4nrCF6bVa446hygNsVWd1YiKlroHWS9URaEvZtIXMylYNtPVGhW3++dFXFPZlUoSW0RMtFmoEbHpRicc9AIhrN83NtyU6k5TdVGTF7ovNYRJaaMRkDZUjcFYMqzDaxEwiUg9nvD8Vzy/3AZvs2Qh1jpeizZCLNgNegcH2XPwEDv27F3SMRaWzopaczwu5cpczlUYz1W4lCuTr/oC2l/65sNhuRtZMDPWG+fD334Htw2nm/rliXKVX3v6FM9MtxeoS7rDaERUdOvu3tbZVeDjwB8Dj7P4zbKB7xL0Lxdb3z0HBuhJhqLyclB+NXlEBc2Couj09wG3AN/WMm/pkVsSiUQikUgkEomkq0hRkUQi2Q78NoGo6P7hPo4N9PCcdCtaNvHICEGZ4qr7XMgMcKRnCjU/R3ZoiMP3P0C6Z8FDvAXkajafOj/BTG1zrN+1LRaAkywkY5rhA3lPCIpOrW05wzS59ejt3HLkMLPTM4yfv8jlCxfWJDAaGBrk0JHD7Bob3XLBWsnqMdXGrb+zhEhholJgOOEHhQxNZSAWY6ra/hjsNolUikQqxc69ewGoVSpMXr7M7LVJ8rOzVEol3HUQKayU1jND4KeRiycSGKaBpmmh45XneaHDlRdxu/LniQUuU53Ou4bDVeB+0vS58bcaVFXFMA1isRhmPEY8HieVTpNKp0hm0ugR5xshCNru4rouaS3OYCyD53nYrktvbgogdPtqSj/leTiOg+d6uK6D57p4Xt0NzCOu6fSZ8XBZz/PwXNdfRnhk+nrYObobx3HJz81TKOSpVqtYNQvbtnEcO9znnuvhem743lss0N5uty2xLxWUJkcgy20kDZstFOlvk9LUww+wtiNj6mSagt8KyXQSJZ3BTKXwarXQma62xDlQcV3yVvQew29XyXYou04jzRGwM5kkHqy35toU7SoqDWFMPe0gBA5GoeOXEtahqgqmqjcduxnTIGMaXRUXmZrC7mSSeJBSMYrl+ik7q67ji2uIiLQI3MvqznWBg1ZCM0gZDaetqmuHW6ZCU6rFqNisOc3k1rlORgVNayVjrs65qVO6OWg4N0WlRx1lSKIhGg0dndoUU/CPP9dbXNBUd7jzRLMwqlUsFZYPXN+USBvr81vXpKLgEOmHw/WAEF5YWg2cCtdblmN5LtPVEoPxZsG35bpNotxwH0PYbn9y1EGrMc32BBPljbkXWA26YbBz337GDh6kJ9u/aNkFLoAtp03N8Tg7XeJc8HdlvtLxkhCVcDobaT27RUjqKh/85sO8+dDwgvS0n7l4jd/9xhmK9ubft13P6IrCscGOzyAuAK8Bzi+zunezhKDo+z/0aKtL0Xvx06d1Gw/4bvx0Zwcj0/9hHdYlkUgkEolEIpFIFkGKiiQSyXbgH/AfgOzTVZX/8tBR/uCFc/zFmStyJOwyiNqOS6ei7qMoChd27ufNh3T2Hjy0rMDSy3NFPnv5GtYmiryiTkWSrcmBTOPBcNW1wwBpJxRFYWBokIGhQY7eexfTk9e4dO48Vy9foVJensBoYGiQg4dvZXTf3jW1XbI1MdSI+GEJFwNHeNieixmkQNuRiG+YqKiVWCLBnoMH2XOwEUtwbJtatRoIUlyEJ3AdJxCpNMQq0bR7dSEPiFDkY9Vqwft6MNgXsETRdB1FUdF0DVXTUFUNVVOJ6ToPj+0mmUySSCS46uTRYsZG7ppFqafKq7+PpvQLg/7Be90wVp0uC6A/lmFH0k8rU3MdKjOLB3OXos+MkY0lli64CkLBUcuf4zjYloXjONQCkVKlWqGYL1AqFXn5+IkFdakopEwz3Le5ShU3EEH19Wc5evfdwXHp+sIo138v5ouhWEp4Hp7wUFWNoXSSbCJOMpmif2CAoZERUuk045cugeOQNnRKpRK5uTkmpqfJ5/Od018G4oUF24+I3A8unG97LjV3tSlRFXrMBEndd7er0ywuqlJZhdOJqSrsTCZI6vqCey3bc5m3qpScNkLt6D5ocxl1hBeKioQQXC2V8Fb4C0NFQVUifyioqkLMNBGu39fU50XdqHzhVrPwCQgFT3X3Kn9i+N+WFTTVWSzd3Lo6N220LdQaWa0AdEE9y5wzU7UYL6/GRGTr0zswwOjNB9m1b/+yXInaYTseJyYKyxIRtRI9De0baBCPrsK/f+0hvveu3QtSnY0XK/zuN87y2GRuk1p3Y6ApsCMZ56fuONBu9izwMeDXgWsrqPYNi8386svXeOL0NGODTaLFv19B/SvFwk/D9hFgFN9x6XfWcX0SiUQikUgkEomkDVJUJJFItgMO8GPA3wGGrir81B0H+KaxIX71qZe5VGw/2lviY6hSVLTeFI04l3qy7FsisFNzPf7p6jTPzxY2qGWdkU5FW5+s2bCwv1YpUHEsErq5yBINFEVhaMcIQztGACgViszlchTm81jVGq7nomk6hqFjxExS6TTZgX7iifUJ4ku2Bk2iIreDECFCzqowkqinQIuhKqxLCrTVoBsGurG5Ah5TVbll10j4eXbOwhFbZyR+U2A/cEFar5RY3RY2zFk1VEWhN9IPdgtVVVe1H3Td8MU90bpQSJuNflmrWaFQINPbw9E7m0bxhwzPF7HbuIXtTMbpjy3s5+vOXIqikE6nSaZS9AwNIYSgUi4zNzfH7PQ0xWIje4jSYRvb3gp27esT5K0yeatM2kiQNmJtxUV5y+JatYq1DEcPXVXY3UFM5Hge81aFYjsx0TKxIwKn0C1shffLHiJIOwaGYbL75pvYd/BmMr2+ONh1XRzbxnVd3NCly8V1HV9U5glfICkCRy3XxXFsbMsORWf1ZXwhZeS964HrIjwXPN8FzXNdcD00XUM4LggWuDSpkbR7BEIovaWPqDh2k8CpOVVfw1Wt1ZlEsjy61W92rqV5TlzbnJSI64VuGOzcu4/Rgwfp7V97JqQ/+eoFnr64WgFMc1rp6x1TVfnlNxzknUd3YerNx1XZdviTly/xyTNXbiiB1UZzpD/DD94yxl2DvcT1BYrKGvAB4EPA3CqqX1Si+eAtw3zw++9pnTy1ivWshOeB+9Z5HRKJRCKRSCQSiWQRpKhIIpFsFz4HPAz8JbAb4LZsho+85k5+7/lzfPrC5KY2bitjKNGHnJvYkOucJ6/luKU3zXCivejj1HyJfxyfouhsjYCzHj0uNrEdks7UIk4yMU3na1Nn2ZseZG+6vylIuxxSmTSpTLrbTZRsM6KiouoyREVXywWG4/UUaBqmqnG5XMbxBK7wcDw/kO5BI52LaATYPeG7gLhC4HoCVVHoMQz64yb9prn9A9EtzV+pu8n1RLRH6lZAdbZWxXI9BuKJLXGsxBMrEzhZi6Q37bQ9Sgd5QKt7VlheUUimUiRTKXbt3k2lXGZmZob83Bx6B7eOjTpKi3aFol1pKy7qMU3ShsFczWKqVmubnldXFXYlE6TaiIlcz2PerlK0a2venmRkPwnh922rITs4yP5Dh9i1d8+Cfa9p2pqcwNZC3RHLrf9FUg+6gVOW6/iCpv3JHpKahuu6TJWKXC7mGqkDAzFTKHyK1uu4eIFLnAiETq5j47le6M4UujShRgROnYm6NrVzaKqjKgoJ3ReYCiEot3HuiiZOq6e1Q1EWOkIpjfeiZbloq5qcoqBJiBV1iNtqbIV+dK3EEgl6BwcZ2rWbnXv3rU5cLOBcscTzs3neNrYjOnnVRPfs9TyIpy+u80uvO8S3Hh7BaBGpuULwt+cn+MiJi8zWVut2J1mKkUSMb9+/g+89NNrpnP4M8J1AaQ2r+SPgmxYr8La7R1snHQYeX8M6JRKJRCKRSCQSyRZHiookEsl24nHgbuD3gH8BkDJ03nf3Qe4Z7OW3nj29qnQK1zvRZ03iBg54rjce8JnL13jXwdGmB8tlx+Xz41OcnF/Lc73us1UDHpIGJ+dnuWfQD3YMJzIkNJOzhSkulWYZS/Uzlsqiq1sv10fNtclbVWqeg0A0AnYtAURBkJIJwoCjL1Dx0zH5bgoNB4QFqZzarNuf3hwGDIODwTz//cJlo+4LTalookHHyHQlSC0UXdtiPWxUaFHfZiJ11tPb+YFMEbhIKAvbFFmvQATbIsJtjLYj3Eu+gQZHsrvDNhyfn+RScR5XCBzPxRYerufhCA/H84VAAsGBTD89gVuMIzz+4lyzU8tqUYGBeIyRRJyRRJwdiTg9m+w8tFJapX03gjtBZ9ZHqFp0LGolh/54gqS+ucdHLBZbUXnLWoWoqMOl2WvjatSORDLJaDIJY2O8/R3vQFEU5ufmKBYKFAoFyuUyM5UyJct3VPJcD9u2SMfiqJ6HbdtdVx11EhepikJ/PEavaTBdqzFbsxCBo86uZIKMYbQVE+XtGgW72rGZiqKQzmTQdD1Miei6Xiim8SKiIQXC/g1o6x61GIZhsmvPGPtvuYW+gbWl/Fsv6s5cyxFfHMwO0mP6x/lUpUS6uLa0RUL4aSkd28Fx/VfXcXAc36EpWi68fvk5K4FAENWSqrG1fEzVuLlnICz/9My15ot80w8hgRsIpITwGu+D9XjCT4WpKAqKqoTXXsCfF7hRRc/HPtNkT7oHz/OwHJtT8zNhyjvh1VNOeuAJVE1DURTciKuUwE/NWXfJUhQVgQjbFb3vad0/9X5XNzR0TUfTdQzDQNN0VFXB8zz6zTha0GbdsojZvrCsTl0cthn46URVNF3//9l77wBXrvrs/3Nm1KXt/fZm+/q6YcANAyb09gYIhBZCCsWBAIEACYEQSmghhJaEFkLyUpIX+EEoDjVAjGkGXHC91769bi/aojYz5/fHSNqRVtqV9q7qfj/2Xo3OnJlzJI1mRnOeeR58/gD+YACf348/EMw+BghFIoRjMcLRGOFY7LzEeYsZi3tm4twzEy95k8dG+Ti1oznPky7o5zXX7+aSwY4V+2VHa354ZpLPHDzJifn2jNdrBh410suNB3ayuzNarspx4JPAB3Cdvs+HL+Neb/swMIwbnfZW4KfAj4ABb2WtdUIp9QHgBqA57qASBEEQBEEQBGHDEVGRIAitxjjwAtwLHf8KdAM8accgF/d28Jc/v4+TC3Ixy4uq0UCfsJLxRIpfTcxy9UA3APfMzPO/ZydJNqHYrR3uVm537pgc53l7LsZQClMZPKx/JzePPkDGsTk6P8GJhUmGw91sjXbT4d/4iCAvSTtDPJ3AyQpNnKyoxdbuAG3KtkjYGRYzKVLO+V7HFmpBzBcs+N7fOXmOZAWf1X2z41w7uAOAawb6+Jg6vCF34TvARDLFRDLFPTNzAIRNk8FwMC8yGg6HmzyqsbBvItytDRntMJZYxG8YdPqDRH1+zBrFuK2Gr0pRk3acsq4lRpnNupx3i72OQX+fz0ckGqWjs7OgfDSxxHym0EXiYf0DRLOik9GFGc7OT2JbNhkrQyaVJpFIkFhKkFhcYiE+z+zMDEsL1Ymlc+KizkCEqC+Yf19Mw2AoHGYoHM4LSIrPUcqJiUzTpKunm+7eXrp6e+jq6aGzp7usSxMsiygsy6LHF2JLuAMrK3S5d3KcramkK0Sy7KwTj0eU5NgYhkkoHKart4fuvr6aRQo2gkLh7/nvz5RSNY+qjPj8XNLjxlBqrZkdO1uztkoxGAqzv9sVlGUcm8Gp0bq2vxY7ol0MR1ynyrlUhsHxqZL1cnF6bhxf1ik6/D4AACAASURBVJnKtrEde1nwhMqLtAzDyLo9ZYVX2Y0nJxp0y5Yj8vL7wRpHca5Aw/GFJe6emePY/NKqW3WVJqBFCy9POm0iMN7bG+Etv7WPR+zsJexfKeayteZ7pyb47KFTcv2lxmyJBHnPNReX+v1+GPhT4BZgoz+ELwJfAQaBMZbFQn8G/Ie3olIqDFwPfAy4cYP7IQiCIAiCIAhCkyCiIkEQWpWvArfiXtB4NMCOWJhP3XAFb/vVQW4dX090vCCcPz8dnWYoHORX4zMcb+ILrO0zBNa+WDjcPT3BFX2DAFzWu41fjB/Ni3ZsrTmzNMOZpRnCpp/BcCdD4c4NFRjNpZd4cG6cuUzzbstCZXi3C611RYIigJ+OHeeage0opejw+7m8t5s7ps7PvaIcCdvmxMISJxaWADemcVs0ws5YhJFImO5AYNW4nHpTThjSLtjaIe1YJK0MSTtNxrELHMCUUhi4bmJRz/aVtm3OLM4vu3sVuZSZWQcyUxn5aZVdz/J7uuzMlROWZRyHqVSC6VSCgGESNE0Chg+/YWAa7vpqKZhdzyB4OVFRuV6W675eRySXKtPfUsPdBZ+PaRIMrX0cSadSTE1MMjE6zsTYODNT0wXuM+WIp5eYTyfoDkYJmYVuRMWfn+M4zFsp4ukUvmCAgeFhuvt6XSFRXy/Rjo6qPxevc8/u7qF8dNZSJkNE2USqWlt74f0s2kMWIRQ7RJajkRF9tWDJsvOuRPOZ8uc7jtb5/Y65QQf1VtYU7e4J88prd/HYvf30RVa6xQEsZSy+c2qCLx4+w+nFZAN6ubkIGAZ//bALi4+Px3EFP+8BpmvYvAUUKzX/O1teajzh5cD7gSM17JMgCMKGoZQaBp4OPB64DNeJrRuYBSaAQ8C3gZu01ufW2UYY+F3gmbjpC0O4p2WjwG24+/Ovaq3L29xW1k438ELgacAVQD/u/voM8Evg/wHf1uv5YSkIgiAIWURUJAhCK3MGeBzwDuDNAB0BH++79gCvuuVu7p2Zb0inLuvt4OUHdnFBV5SI3+RYfIlfjs/wq/FZ7picI1NnT/SmNnloQ2yt+fLR+t4lvR4KB45a+Op3m/Olowe5vHcApRR+w+SirmHumjm9ol7CznBiYYoTC1NEfUGGw50MhDqI+quL6wE34mMyucC5xByTyYWNeBlCE+AVFVlVXEdasNIsZNJ0ZCNxrh/sr5moqBhLa44vLHI864hiKOjw+Qn7TCI+k5BpZsUpy38+Q+FTRvYxHzKHUq6YMidwMZTCbygChomRjbgzFFlhy8poD8vRblScdrCz01GPG4rWmkNzZ0nZGZK2heVY2FoXxuap5Tid4lg7WA7RW2tA0rtMbqqgLOcOAR4RUHZ+vm2W/1Xusct2bGztkHFsLMfGqeLY0B/qZGfMTcNYtDPcOrGxx0EFmMrIfo6q6D1dfs0G4FMGpmFgZJcxsttEblsx8tuAkV/GMAxMFKZhcKCnP/8eeT+rBSvNkp11+Mm+NaZSxAjk+7lk2eQCDhUwn84Q8PmyAqzl9WUcjZUdzM5JYjSF21racUjZDkuWxeHZeWbTGToClTu+lBMIrP2pVva5B4JBRrZtZWSbG6toWRZT45NMjI0xNTHJzOQ0mTIRcBrNTGoBU5n0BmP4PX31+/10dXdjxsJkQgF2dnfQ2dVNKBKuqF+VEjL9eUERwLEFuSGhQIDSIsqIcu5eQpaCt6c1PtPz4eTCEndNxzk2v0glZzred+Rx+wfZ2RvB0dnoPg2Ok3XodMi7dDrZfbSTTaLTHmEStM53ByAWMHjuZVt4ykWDHBjqIOo3y0Zk3z8zz03Hx/je6YnssU6oBX5DEfX5uLyvk6ftHOKh/Z1E/Csu3V8MNErRtYRnLOG9/3UPf/WsS73ztyGiIkEQmhyl1AjwFuClQKmLZgPZvwPAs4CUUuqfgXdprSu+GKKUeh7wQWBLidm7s3/PAY4opf5Ua/3dql7IcjuvAt4J9BTNCgIXZv9eBNyplHq51vpX62kn29Y1wGuAa4CtuOKoXwMf1VrfUuW6AsDNwLXAU7TW31lvvwRBEIT6IKIiQRBaHQv3h8DtwP8FogHT4D3XXswf//AOplKZ1ZfeYLZFQ3z4+ksJ+ZYHR/Z1RdnXFeWFF2xjJpXhy0fO8s3jo0zXqW9+zx3cVp0FTULzUnAzrmwWTUvCsTi7tMDWaAcAO2K9JUVFXhatFEfmJzgyP4HfMOkKhOnwhYj4AgRNPz7DQKFwtOMKJLRDOhtfNp9JMpde2pB4K6G56A4u+28krOqOP/fPjXH1wHIE2scPbkwEWrU4GuYyGeYy9T22l2NbJMwL9u7MPx9LzK2oo2HZtqCNv1a1HlDVZMVwdXgPA4aRjwvysmBlWCra9nxFLjlz6UxB9M3x+ELJ6KebTp3jeNaRyxUvudv3b+/Ywo7oSvGMZduFAmCtmUwmCZg5xyZjhbSinINPrQa8fT4fQ1uGGdoynG9nPh5ndmqGhfl5rKxbiNY67+AUDAXxBwJc0LuF7o4uOjo6iMVi3D19jrRT20Fr7/mx1prFDd6vJGyL0cQiY0uL2NrBZ7jCNq/Azcw6eZke16+ci5fPI4bLlS1PLz9upKimFSOTxV2pctr1/UlYNvfOxLl7Jk58FVeikrgaUABe9qi9G9KfZr6hZ29vhKftH+SG3X1c2B+lI+grKyICmEymuen4KN87PcGJeXEt3SjCpsHDB7vpDwXoDQYImgZboiH2dEbYFls1+jcJvIrGCYrAvf52J/AQoFhQpIETDeiTIAhCxSilngh8AdfJJ8dB4Fu4zkSTQBeugPMZuIKcIPDnwNOUUo/TWp+poJ2/B97gKboHN1ryCGACF+E6C+0B9gLfUkq9QWv9oSpeiw/4HPB8T/EvcNMdTgAR4NJsOyO4++5blFIv1lp/qdJ2sm0p4G9xx2C87Mr+PUcp9Q/AX1ThhvROXEHR50RQJAiC0BqIqEgQhHbhK7jWpD8AfP2hAO+8ej+v+cnd2Od5BbU/FGB/T4wr+jpJ2w6/GJvh7unSLkh/cNH2AkFRMT1BPy8/sJOXXLyD2yfm+NKRM/xstLaODwGPekSEAkKOWkbECBvLfbNTeVHRULizqmUzjs1kcoFJxHFosxPzLd+At2BV56x9y+hxrup3I9A6A34u6+nizmlx9ZD96DIFYoQWP9Uo2/0Sn7epVo/eKifgMYqEELlq5QYSHXvldVkbTcK2SNgWBsoVF5kGgZxopRqnohpsykopOru66OzqWrPuQLib/pB7nFvMpGsuKAJIWFZe3KSU4sq+IQ7NTTOfOa/kAcYSixyZn2V0aaEuIo6ci5cbAeiKk0zDjRa0HFc8HPMFCJhmVshk5AVNxYKlAz3LYyuLmTQTyaVlEVPWISy3jIHr9pVbj9CctOsnM5VMc3JxiVMLCU4sLrHe+2YWLIuuKhzgKmFbZ5h7xhpz3t0Z8nFBb5QdPWH29Ua4oD/Kju4wWzpDdAR9FX1XJxIpfnx2ipvPTXHnZFyuH2wgl/Z28Ow9IzxqpI/wKteMSpAAPokbLbau+J0N5jXAD1k5pvAe3Gg2QRCEpkQptQW4Ccgd/H8JvElr/aMy9d8E/AHwMSCEKwT6gVLqIVrrsgJPpdRfsywoSgOv01p/rES9twNvBf4G10D3g0qpKa31Zyt8SZ9gWVAUB/5Ia/3VMv35CG5MZRD4vFJqUmv9wwrbAfhLlgVFD+Iel44BO4Ebcd+b12f78c61VqaUeiTwRuAU8Ooq+iEIgiA0EBEVCYLQTvwY9wLHxwAe0t/Fyw7s5BP3Lt8s1eE3uXaol8v7Oon5Tc4uJrl1fJbZVIahcJAdHWF2d0QYiYYYCAXYEg2tuODzh/t38PPRaf7l/hMcml3Mlz9ypJcn7xj0Vn0Tbvbyo4EnAk/A/RGCqRRXDXZz1WA33z81wXtuf5C0U5tYY3EqEkrhHQaVraK5OTQ3xRO27gKgMxDGVAa2xKCvSswfJGT6Jb7NQ8hcHjSr1qlowUqzYKXpyMbpPWKwX0RFlBeAbEbaKVKznBColJtDb2A5VjDjOAUuRQC6zLlduS3HKDNDa2dVFxknLzByn/sMg3OJJQKmid8w3L+scMRyHDeaLxslt6KtMn2rJYW9qE8PLG0znlxgKOyKmfymySU9/RyOzzCZrM6RY8nOcGZxnqPxWRaq3L+eLzkXr9XSiJasytxbHr91F13ZBIgzS3F+Pn6youXywqacaMnIui0pA59hZJ2XlufnHBNzy0JOs+eNdvRGRubKPMtky/qCEdx0Cpczi4sF0Y+F25MqEFTl4xDzoilX8KezMVdaa5xcX/IxmqpAX1gca50TqjUPzdSXtXEcTSob/ZhybBKWQzyTIZ62XKfCtDud2qDfzZ88eIwX7t1OOCvCzO2Dl6MvvTGbnijRbF2FAuU63OV45xMu5BXX7sTOxqLlIlNz0as5AaBpZCNbDXdaazANsq5my/3wRmd6tzZf0fI+Q61r20taNndOxbltYpZfjc9yeG6xxY/izYXfUFw31Mvz923hiv61RbYeLOA7wD8Bt+DGjjULtwDPBf4RN/oG4BvAOxrWI0EQhArQWp9VSv0hbtLB3wNv1VqXPYvOOu78m1JqEnc/B6545kZckc4KsvFgb/cU/YnW+t/KrN8G3q6U0p5l/lkp9WOt9fHVXotS6jnAS7JPbeDZWuv/KdNOErgxGzf2h7iiqs8qpS7RWq+0W17Z1m5P/34GPEFrveSZ/wngu8CjgLcopb6gtS4bhamU6sR1WFLAH1bSB0EQBKE5EFGRIAjtxieA64HfA/j9C7ezPRrm5rNTHOjt4Ld3DRE0V4qEquW64V6uGerhn+4+xk0nxnjhBVt50YXbvHf/HQE+intX2V24F4P6gD/Dvcsh3+gTtg8wEg3ypz++G6sGdwL6PSNUtVi/0Jr4PNtFqw8Atzsn5+cLBql6gxEmRCxTkpDp5/l7rqInGAXgB2fuXzMubrMQNJdP+xN29YPeB2fHuWpgOwDXDvbziUOH1+0M0C6IO0dpWn2zKNd/b5xYyPQxFI5iespm0ysdbpwyA9+dZZwxyjsV2VVtb1oZLFoWiyXEJN8+fZKplHtjrQIChsn+7m4iPrdP44k498+eyYovTPyGSdD0EzR9hM0AId/Gunqs6Ps6lrEch3gmxVw6STyTZC6dZMnK5F14cmKWfOyYYWCguHt6lMdu2ceOWDfgDtzv7ezhgaxjUX5ZY3l5R2syjs1CJsN8Js1kcon4ebobNQvr3aPlhU0awHaHNerEzlg3jxrelX9+8+iaaRQbytUDQ1zW2wdA2rb5xslDAAUipZzLk6M1Gp1/nhOZuNsVgM4LE3MuUF5yApdiHK3dOFsnF2ur8/WfuXM/g2H3nGgskeRzh0/i8zisGYqs4Mvd//iUO+0Vv4Drpuagyf6ffS3LEZ9Oto4mJ8hy16/R2fLC57Z2hTaOdredpO0KiertivP9sxN8/+zEea/nG4+/Nn8j0lBHiKGO0BpLNI6ZVIZ7puPcNRXnN5NxDs0uyDWCGtAX9POSi3fyhG39RPwlL73HgduB07iCoXHc60Z3Z8uSuMKiZuW/gK/hxukEcGN2ZEMSBKHp0Vr/h1LqO1rr6SqW+aZS6jbgYdmi36aMqAj4EG68GcBN5QRFRbwTeBZwBRAD3gW8qFzlrDjoA56ij5cTFBXxSuApwBCuKPSNwF9XsNzv4zocObhuSAVCV611Qin1x7jxcYFs31cTmn4UNzLtQ1W6JQmCIAgNRkRFgiC0Gxr3JPnhuHcP8Jit/Txma/+qC1XAOPBT3BPvR4B7sfU1l+/hNZfvKa67gJu7XHyb8xSupenbcYVP78J1MeLS3k6euH2Ab50cP99+rsDnGfAS+3IhhwyGtw4W7iCRX7nXJboCIioqxysufkzB8wu7h0RUlCXocSparDL+DOAno8d4eP82lFJ0Bfxc2t3NXTOb261InIpK0+qnGuXOlUyf+9M5ZPoYicQKBvfTtsNkYuX3amFullAksqJ8KBRcUQariIocp0DwsdZbbJSzPIICNyUNpBy7YH0JO81EMl52eVMZxPwhugIRugMROv3hAnHVeljNhamYlG0xl04xl0kSTyeZy7gCopLkRC6r8G8P/pqrB7bzpK0X5gUeN4zs4O23/6Sq19AOVPM5NAtewWwjfueU2/JzApxG/vbKi36y2BqmU/V10hIaw3zaYiaV5sxiknNLKU4uJDgaX+RofIkZ2QY2DIXrCn31YDf94QDD4SB9oQDDkRCX9nYQMEvuIW7BHYi+CUjVs781QANnG90JQRCEaqlGUOThOMuiou2lKiilHg1c5yn62wr7o5VS7wa+lC16gVLqzVrrcrahz8eNHQNXgPreCttJKKX+ATdOE+DVSql3a63Xsml9WvbxZ1rrB8qs+7BS6qe4bkVPpYyoSCn1O7g3W98HvLmSfguCIAjNg4iKBEFoR+LADcB/Ar9VYv4k8E3cCyA3AAeADlzRz0HcE9tD2fnHgMNAzopT4Z5Mf4zSPyJOAc8G7l2lfw7uxaQn4N6ddgnA7s6Vg04bgXeAyt7sthJCHu920eoDwJuBpG3jN1xRUYe/ee9+biTeO+9zDAQ7GtCT5iTkGXgtOwC/CnErzaKVJpaNQLt+qH/Ti4q8uo3NvhstFCO09ruRtEsbA4Sj7nnaUDhaIChayGQ4s5QoKR6YnZykf2TLivKRSLhkG+WdiqqL+jGKXDkL1nWeB31bO8yll5hLL3ES98Q45g/RHYjSFYjQGQjnj1eVokoopizHYT6TYt5KM59OMp9JEc+kSDsbb4Pzy4lT2I7D03dcDEDMH+AZOy7g6ycf3PC2mhnv5+C0Ssxqg09iC6Mfm5tm718r49133z0V5/DcYv77lHNIyzk8OVpjORpLa2xHk3EcbA2mcqPK046D43GGcrLLaZ2LYHM/y7TjkLIcErZN0nKYTWeYSWWYTWXEeajGdAV8vPTinTx5xyARX0XHuwRubM5HgJ/XtHOCIAjChqPcE77LPUUzZaq+2DN9Umv9yyqauQnXpS6Eq1t/EfCeCtr5mda6GoHn/8eyqKgT1yHpP9ZYJpe2cOca9X6DKyoqJ7oaAT4FZIAXZWPZBEEQhBZCREWCILQrY7iinRcDvwP04570fxv4NCtdhCpF457o/wb4Au7JMsA08HHgfbhORZWQxrUPBeD4/Hq7tDreG+TEqUjIIf4arcWSlaHDHwAg6gs0uDfNyZZo94qyU4vruQGtPQl5nIri6fVduzk4N8HD+7cBcO1gH5/c5BFo4vi2TDu9E4kyoruunh66AqECV54ziwlmUuWdv2anpkqWR30m3QE/s+nCtsptU7pI4LG2U1F55yBng6UFGpjPJJnPJDm16L7eoOGjIxCmwx8iaPgJmD58Wbc91PL2knFsLMemJxClJ3tGPJtJ8oOzR9YV03g+3DZ1hv3dg+zrdKOsrh/exo/OnWibaLNKMFXruZt6vxmN2A8FChxhm0+I1U775mbGu+v+zMET/HJ8rnxloSUZiQS5erCHa4Z6uGFLX6WLjeO6VP8767/+JAiCIDSeG4ELPM9/UKbeUzzT36umgayLUO4GZHDdflaIipRSEbKpB+ts55hS6kGWX89TWVtUlDvwrXVXWe4EqNyB8jPZeW/RWt+xVl8FQRCE5kNERYIgtDM28G/Zv43mFO5J/A4gAhzBVdpXQwzYl3tiKrh6sBtDqfwdiLk7GR2tcXAv8Gdsh6TtkLBskrZD0rbJrDKqG5D4M6EEsiW0Fglr2TnDKw4RlrlmYEUUZVMO8DUKb0TMfGZ9aQu3jB7nYX1bUUrRHQhwSXcXd89s3oEzs5S9ymaljVyb5tKlvx+BYJDhnh4yCVeUN5/OrCooApiZGMdxnJIin62R8ApRUTmnItu2qUbDZqziFFSPc8GUY5FKzjOZnK+o/kikJz+dtq26C4pyfOvUQV5x8bX4DRNDKV607xI+dv/mud7t3cZa5TeDbnA//U3+O8vrpHS+LmVCebyCUEtOPduCmN/kYQPdXDXQzXXDPQxHVnWKtXHdsM/gOhEdAX4J3IobSyMIgiC0IEopE3gN8Pee4hngoyXq7gS8FrWrJRiU4z6WRUVXKaUCWuviH5xXAd6LguttJycqur6C+tPAEG7Kw2rEPPULUEr9KfBk3OPk31XWTUEQBKHZEFGRIAjC+VEu37gS+r1P/vLKC8rVq4i07WA5jjsioDWGUvgMhc9zsVuuJQs5ZFNoLRKeOB6vOERwGQ53sS3as6J8Jr3UgN40HwqF4XGgKBfvtBbxTJJFK0Ms65r1iMH+TS0qMloo9qbWFMSftfjJxmwZURHA8NAwp44fB2DJXjuGy0pniE9P093fv2LeSCTEvbPxgrKyTkWOU9VGpozyCqRmFBYURkg1rn8z6QQ/GzvBDSOuSHV3RzddgQBz6c3hVmTgFaC0hjKi0YZxeQcumvS75Zluvt61DwVx4y3y3RFKc9VAN8/bt4WrBrsLrqOU4SO4MTJ3AfE16gqCIAhNjlLKAHqBXcDjgT8CLvRUmQOepbUeLbH4/qLnD6yjC97s5UC2H8Xr2eh2diqlglrr1e48O4UrKrp8lToAV2QfT3sLlVIX4QqzFoHf11pvfJ61IAiCUBdkVEoQBKFxVOybXQkB0yBgrn7ha9GS83bBxZTB8JYi5RGB+A05fSvGKnNN4vDceJ170pwUu5+knfUfCx6cm+TKfvcGvGsH+/nUoSObdh9SIADZrG9CCVr9rbC0w3wmnY+c9DI8NJQXFdkVZv/NTE6UFBUNhVe6HpRzKnIcpyDmaa1hTtMs71TUnMIHryitgR0Bfj5+gqsHthP2+VFK8cih7fz3qSON7VSdaKbPoVK8gtlGdNkbTdiMUWMKcSqqNcWfuy2aopakN+jn5Qd28n92Da9W7SBuzMw3cV2J7q9H3wRBEJoJpVQIWNW+bZ0ktdbry2k/D5RS/wy8soKqNwOv0lrfU2b+zqLnE+voTvEyu1gpGtrodlR2nauJk74DPBx4tFJqp9b6RHEFpdQu4FHZp9/2lPuAzwNh4Eat9eb4YSUIgtCmyKiUIAhC47jP+8TRGlvr/EV8lf1Hkb0gnJ/Ozq/y1ty07fBvD5yPsZLQTviaxBVAqBT5vFYjVcZ55/qhfXz95J117k3zYapCCUKqAoeVctwydoyH9I2glKI3GGB/Vyf3z23Om7NN2Y/maSenIoCpZKKkqGhkZCQ/XemrnJ2YgP0XryjvDvjxG6ogwtYsc2rnVPmdVau4KzSjsKDQTaWx/Us5Nkfnp7mkZwiAPR3dDe1Po2j051ApZoP3PRlPm+WcxhqKaF9rTvHHbss73XL87t4t3HhgJ2HfCkHuJPA/uEKi7wJn6903QRCEJuRNwNtqsN53AG+vwXrXIrLG/Gng2Vrr/12jXlfR8/XYZhcv09nAdrx8Dvdz9wGfUUo91etspJQKAv8KmLixn5/3LPs2XEHSf2utP5Wtr4CnAE8H9uC6/d0HfFprXeByJAiCIDQXIioSBEFoHEnAIXvD+Qt/eBtnFiu/KSNkGHQFfHQE/ET9JhHTJGAaaK1RSmE5mrRts2g7LGYsTi0kkBsnhRx+o70GgNudkMd1InMegpB2pSsQLlm+p3OATn+IeKbuN7w1FcUDnZZeX/wZuPFACTtDxJeNQBvq37SiolUSpjYd3k2sHc41plIJdnUUX6+Fvr4+gsEgqVSqYnHO3PRUyXIF9AYDjCWWnebLiRIcp7p31TTKOxXZTXjMV03mnjiamM+LirqDwQb3pn60ovlao2MoLc93s1jAK2wOjCKvokpd7ITG84xdw7z6st2lxEQAjwV+DMgPL0EQmpLwjhc06oDzjga1WyveC3zF8zwMjADX4wpfeoFvKKX+H/DuUi49WYrdmxLr6EvxMqUcoerVTh6t9QNKqfcAf4N7fLxTKfVJ4CSwA3g5kLuL5r1a6wcAlFLXAX+FK9J9abZsC/A14KoSTb1ZKfUWrfXfr+M1CYIgCHVAREWCIAiNowdPgkWmSq/0pOOQTKYZS6Y3ul/CJsD0jIbLte/mJ+xbPmVLOesXhLQr06nFsvNkkG/le5C0zk/28eDcFFf0uY4tjxjs5zMPHG2ZAeiNRGIkl/FGENlVCmCakYlk6X2KoRRDQ0OcPHmyYieXxMIimXQaf2Cl81Gn358XFRmUj0/SjlOVc4wqo3jTNOe2WuBU1ASip4XM8rl1YBWBliBkPPFnTelU5KG5e9e6FH/slvywanp8SvHWh1/I47cNFM+aBj4GfBCYqXvHBEEQhLqTFcCUiv76qFKqA/hr4PXAy4AXKKVeqrX+Yon6maLn67kzoXiZVIk6pdqpVlhUSTvFvBPXJenPgP3Ah0rU+ShZ0ZlSKobrcGTixp6NKqV6gZ/jCpGO4sbO3QL0A68DXgu8XykV1Fq/q8rXJAiCINQBERUJgiA0jtfnJqZTaSZEHCTUEZ9nALhVIi42M0Fj+ZQtXSbqazMT85W+XmM7DjPp9bhBtxdeUZHWGuc8vWR+MnaMy3uHUUrRHwpyQWcHD8Tnz7ebLYdRFNq0mfEKrGzd+qKiJcsiYVkFgk4AFAwODnLy5MmqBLnJpaWSoqKoxx1hNUGC4zgr3DBWwzBLC2HKuSt5i1UDpAcF8Xl1b30l3m242rjhdqEZxF0tQZO/Td6PsdlFT63KCqci+e40Lbs7Ijxt5xAvuGBrqdkPAk8Ejte1U4IgCOtENe7mqfcBH67BepvOXlprPQ/8pVLqLuCzQAz4D6WUo7X+clH1haLn0XU0WbxM8TrLtVOtqKiSdgrQWtvAa5VSXwX+FLga19FpDPg18E9a6x95FvkwsBf4rNb6q9myD+IKiqaAx2itT2XLTwKvU0pZwBuAv1FKfVVrfV+Vr0sQBEGoMSIqEgRBaAzb8IiKvn58tNmvSQttRoHDhmx8BhwdEgAAIABJREFUTU9htJB8YMXE/AVuzYtkL5KYhkHEDLBkb27Rpmls7AXHydQSSdsi7PMDbgTaZhQViVPRMl7hmtUmB5WpVIJtvo6CMoWir68PqE6Qm06WvkbujbY0VxMV2TbVfIvLxZ+VO354BSSNiPUriD9rgu3HK75qhMhKaE2acUvx7qeasX/tQPGuu9JoTKG+/J9dQ7zhin34Vh7kfgi8Ebible4PgiAITYuq6tfBxqG1TtKEAqBaorX+glLqMbgRXgbwaaXUD7TW055qp4sW61tHU8XLnCpRp1Q7kzVopyRa6x/jxoOWRSn128BLcMVCr86WjQAvzlZ5n0dQ5OXtwB/iOhe9FjdWTRAEQWgiJA9CEAShMbyKrN3oZDLFfx4u/k0gCLXFFJFKS+GNE/JLFMsKigahTwGjuSdXD+yue3+ajVq4ExyZn8pPP2Kwf8PX3woUvK+bfDdaEH/WBk5FAPH0Shd4BYTDYaA6Qa5llXaY83kEf2s5FVXji1Uu/qycg4b3PKDTH6EnEKXDFypZt5ieQJS+YIfnL0ZvIEZPIEp3IEKnP0yHL0TUFyRkBAgYPnwY2f/cCxJeQVUznJMUioo2D63ovebtZyM+q1Zy+9xM23I9KXYqao8jYHvxhG0DvOnKC0oJim4BngLcjgiKBEEQhNX5gGe6E/iDovkPFj2/YB1t7PNMO7gRYcVsdDujWus1nYoqRSk1BHwa9zT9D7TW8eysZ7F8Ovr5UstqrReBr2SfPkM10I5LEARBKI04FQmCIDSGx+QmvnjkLAlbLj8K9aUwzqN1BkQ2K7PpFFuirmNGlz/c4N40H2mnYMC+B3eQ4DkAW6M9jehSU2HW4FrMT0aPc0n3EEophsIh9nXEODy/YdeiWoJCp6LNvR/1Dqra1eSCNTEZp/S5mS8biVbNmZtj26XX5dmGSgx2Li/vFC6/1jtslHEnK+eg4ffU39c1zL6uYbcdrTkaH+MHZ+7B8rxiA4Prhy7kQM+2DXdCa4booML4swZ2pO604ott7PaimtyxzitWbBcXuWajeNdtlTl2CPWnO+DnpRfv4Fl7RrzFSeDbuIOy7wI2t52pIAgti+gt6s4DuMeQ3J0X1wEf8sy/H5gDurLPD6yjjf2e6Tu11ksl6txa9PwAcNN5tPOzKpddi08DA8AHtdb/6yl/SPbxpNZ6dMVSy/wSuBEYBIaAcxvcP0EQBOE8EFGRIAhCbRnBvQPgXiBnixoBHpqrcPvkbAO6JWx2vBfA22T8t605u7TAgR7XDWYo3ImpVMHAa08gwkiki/5QB1FfkKDpnuKlbYt4JsFkcoFTizMsWiudN9qBhcLXNYjHEno2Xeo6zOaiFjFdY8kFUo5FyFyOQNtsoiKjwKhok+9IvU4zbTJwXc45yM4KhKqJ6Son8vEO8vtWUa/Yll2VuMX0lf6ZX+6ziWSjDItRSrG3a5g9nUPMpZdYtFJEfUE6A5GaOKBBoTNfo0h7RFy1EGUK7YPfs304TejSVhBNKSf8NaF4Xyjvc3OwJRLkY4++nIFw0Fs8A1wNHG5MrwRBEDYOERXVF621VkrFWRYVdRfNd5RSP8R15AF4YjXrV0r5gUd7ir5Xph+TSqk7gCs97by/inZGgEvWamc9KKVuBJ6OOwby5qLZw9nHtURC3vnDFdQXBEEQ6oiIigRBEGpDCPgwbv6vAlK4ecCfyD76ARYzFkfii43qo7CJqYXIQKgdt06c5XFbdqKUIuoP8vTtV7BgpegNRukNRon4AmuuQ2vNsflJfnTuIPFMsg69rh8pu8CpSOHZrNsliul8MAouOG7cN/7o/DQHuocANwLts4ePb9i6W4GC/egm35EWbmHt8Wb4i4RABgqlFJmMm5BSTUyX6SsdW+kVhxa3V1DPtsCsfODANEu3V859KWVbxPylhUXgiou6g1G6g9GK+7AeHK05NDdR0zYqYTK5fG5uKMUNw9u5efRUA3tUJ1pQKNnoXnqduprBZauYAhe5JuxfO1AsKsrI+9xwIj6Tv7vuQLGgCOANiKBIEIQ2QW0uO82Go5TqAry576V+tHyeZVHRXqXUQ7TWd1bYxOOBDs/zz65S9/Msi4oerZQa1FqPV9jOMz3TKeBLFS63KkqpfcA/4MaJvkhrXXxHY24cunQu+DLe+eV/oAqCIAgNQURFgiAIG48CvgD8jqcsCHwc90LW3lzh989MYMt1R6EBGAWD4bIRNjtTqSRnlxbYmo1A29M5UPU6lFLs6RxgKNzJ5w7/nISd2ehuNgxjZWTLRbmJJUtSDYwaiV9+Mno8LyoaiYTZHYtybGHzCGUNiT/z0H5ORcXuPQ4arTXJpCvKNAr1i6vi85cWfqY9Ip9V488suzpRURmnonKxPBmPs8ZPx45z8+hRYr4g1w/t5CG9W0pGnDna4Z6ZMW4ZPcZ0OpEvV4DKbg9KuVO5R0OpvDir+NUGTR8Zx2HWs65GsWClORKfYm9nHwBP2b6Xn4+fKfi82p4W+RoX7G4aMLZmNrlLm/c4JaKi2mAWDeo2g9vaZuaKvk4+9ujLi4vfA3wf+N+6d0gQBKFmiFNRtSilAsCbgM9prY9VufjzKHzTf1qiztdxY9IuzD7/GwrHBlbjLzzTN2mt71+l7r8Cfw304Apv3gT8+VoNKKVM4PWeon/RWs9U2L/V1uvDFTpFgTeXEVLlRE99a6zOO3/sfPsmCIIgbCwiKhIEQdh4XkL5Hw15QdHZxSSfOXSyPj0ShCJkMLz1+OTBO/mbK6/HV8bNIuPYzKZTzKSSLFkZNBDz+ekNhukOBvMRGFF/kMt6t/HLiWqvoTQvfaEC94xJPHeQTSU3VyRXKbzxJxv5fT+XmCdlW/m4vXc89FJe/8s7mEhuDiFXreKfWhHVhseUzhJCIA3E43EAgqZByq5s8NgfKC0qyniWD5dxF7Itq2rxr2mW/plfiajA1g4Zx2EmneCmUwf5n7OHuaCzny2RTsI+Pwkrw7mlOIfnp1iyyolTdcFDRWSaK57zR+eOsLujF0MpfIbB8/cc4LOH72l0t4TVaMCux1dwfG0+vIepZhQ9tQPFZwIVHhaEGvDk7YO85WEXFBe/H3hLA7ojCIIgNBFKqWHga8A1wCuVUk/XWv+6wmV3A+/yFM0B/1lcT2ttK6XeiCsuAniWUupFWuvPr7H+lwOPyT5N44qEyqK1nlNKvR34SLboVUqpb2qtf7TGS/lblsclpil8TefDW3Df158Cf1emzpHs4z6lVFRrXe5utCuyjwkk+kwQBKHpEFGRIAjCxuIH3pZ7cuv4DP9w12He8bD9XNyz7GL64NwCb7r1PmZS7eMUIrQWXlmKI2MMLcGCleG9v/kFz9uzn8FQhCUrw2hiiZOLc9w7M8lUavVIs3dc+Ug6sgPbnf7QqnVbDb9RcEo7B5wGrgboCUYa0aWmwuvktNFf98nkIlujXQB0BQJ88vqr+c8jJ/jy8faPChLHt2W8g6rt4IbhNwy6gyv3k2nbZm5uDoCIz0c8vZZ7u0s4FitZvmAtL98bLC08SixW7/5l+tcvKiomaVvcPTPK3TOjVS/bypxZinPb5GmuGtgOwGW9A+zp6OLo/FyDe1YnRDNZEabR3E5FXk+wJuxeW1CsL3YQVVEj2NMZ4S+v3Fcs+H4QeHtjeiQIglBblBKnoioZAvZ4pn+qlPog8G6tddk70ZRSTwY+DXjtwv+snMOP1vobSqmPA6/IFv2rUiqmtf5EmfW/EviQp+iNWut7K3g9/wg8CXgq7ljEfyml/lhr/dUSbZi4rkk5sZIDvERrfd5OQEqpq3FdkxaAF2uty50IfRN4J+549DOA/yixLsXyTdrf1VpvjrvVBEEQWggRFQmCIGwsvwdsA8g4Du+/80HGk2le9dO7eNqOYXZ3RHhwboHvnh4nLUoOoYEUpEXIwFHLMJNO8omDlUayFxLyLbtgzDVBvMxGMp8peD17cS9YALAj1gdjh+vep2aiwKlog0cVv3XqIC/bf42nLcWL9u3i0cMD/NWv7yoQTbQbpqqdWKvVUDWK2GsUQ+FoyfJFK825c+4Nk+WchYoJRSMYZRzm5tLL4vK+ULBknYW56kUskWjp/idtu2S5nAeU5ubRY1zeO0LQ9KGU4rl7LuZ9v/lFo7tVO1rwu9voTbdQpN98b6D3/XFa8QNuQST9rP5c3tfJx1dGnr0D+Biu04EgCELbIaKi6tBa/0YpdRWuW9FDgFwU2muUUt/DddkZA+aBbuAA8GTgMs9qbFzRz/9do7lXA13AC7PtfDwrHvoSrmOPwr1u9VzgUs9yf6u1/miFr0crpX4X99rXY7PtfUUp9XPgv4ATQAi4CHgBsNvzGl6htf5aJe2shlIqAnwOd4z5z7XWR1fp751KqV8DDwfeqpT6mtZ6qajaH7McHffp8+2fIAiCsPGIqEgQBGHjUHgsSr93eoLxbARM2tH813Fx7RSaB+/Ah9HwIRmh1lzU2YPfWB4AfzA+vkrt1kOt3IZ/ALwWYCjciYHa1INpRg3FL2cT8yxkUsT8hYKIHbEo//7oa/jwPYf4yfjkhrX3nJ3buKKvh5Rtk7IdlmyLJctmyXIf045NxtFYjkNGa9K24047DmlHs2hZLNkWi2mL85U7eQwqxKnIM90O8WdbIqWdhU5NTuTjz0JmZRfyI7GOsvPiGVdU5FOKrZHSDnLzs7MVteMlHC3jjJRZ2yFzk2/KBSxaab5z+hDP2HkJAH3BMPu7ejk4N93gntUIOR2sGqNG8aIbhSo4TjWuH+1M8Tlo+0qpm5NHDvfyjqsuKi5+BvCNBnRHEAShbihEVFQtWusTWWedl+BGdm0DIsAzs3+rcQvweq31rypoxwZ+Tyn1M9zIsR5ccdJlZRY5DbxWa/2Vil7IcjtLSqkn4ToF/QUQBq7L/pXiIPAnWuubq2lnFf4BVwR0k9b6XyqofyNwK7Af+LpS6iVa65NZJ6UX4bovAXxNa/3fG9RHQRAEYQMRUZEgCMLG8UjcOwBwtOYLD7Z/9IvQungjUGQMqf35rS0789MTiXlm08U3BLU2SXvFQPm+/Dwrs6kFRVA06FmDUcVbJ07xuC37VpT7DYM3XLafx03N8O677sU6z7v3Hz8yxO9fsHvtihWitTsEbGvNfCbDzefG+ffDxytevtCpaHNvY95B1XYwYhwIlXb6OXnyZH5aVWjv09XXV7I8YbsCOIAr+rrLOh/NTU+57VXUmtuvWFdnyXkLlsTuVstvpke5fmgX/aEoSimev/cAb7/9J43uVk0oEAe2yve4wSex3viz5hSXiqNerTHkh1TDuKAryt9dd6C4+G48jqWCIAiC4EVrnQE+oZT6DPAY3AixRwDDwCAQBJaAc7gxmr/AFbncs462/lkp9QVcp6CnA1cA/binZWPAbcDXgS9rrdflrKe1toC3K6U+gSvMeTKu+1EvkAHOAr8Cvgx8M1v/vFFKPRX4E2ACeGmFfb1dKfVM4IvA44FjSqnTuC5LXdlq386+DkEQBKEJEVGRIAjCxqCA9+We3DE5x6nFZAO7IwirUyAqktyTtsYA9nR0558fmhttXGdqRNJecV0kn4FwZql6l492w+cRFdk1GFb8ydhxbhjeg69ExJNSiof29/KFGx7B106c5otHT7JebdGlvV1rV6oCpVwpjKEUvcEgz9q1nadt34qlHbR2o2IKHrV2/3Cno77ln1KdgQiPGr4YyImVtKe+LjnYrLPlufneurnlcy5TaccmZWdI2xYpJ0M8nWgqIVOBqGjdn3Bz0OUPEiwj8Dlz+jS5OUaFx86+oaGS5eOJFABBw+BhfT0l61iZDNPjYxW1kyPa0YHPV/pn/mwqVdW6BPd7+oOzh3nenisAiPkD7Ip1cXyh+li6ZqdQHNg8+5fV8Dc4+sO7p2jGPV+7ucgJQo5n7BrmL65cIWj/JvAyREMnCMImQOLPzg+tdRr4Xvavlu3MAh/P/tWynVHgA9m/evBuIA28VGtd8Q9WrfV/K6UuAV6DK4DaBSwAPwI+hSuwKp3ZLQiCIDQcERUJgiBsDE/GvbMBgC8cPt3ArgjC2pSIixLalCdu3Z0Xezhat6WoqC9Y4CoSB/JWcRlHgigK4s9qNFB8aG6cS3qGAbAdiwfmfsOezksImm6kU8g0ef6enTx713Z+NjbJpw4dYcGq7rMJeiL80naSBSuOqUwM5cs+mihU9vUanmlV4Na0GgHTILBOK/lLerava7n1kHEsRpdmeWDuLEfiY41342qjiJ2+ULhkuW3bnDt3jm3h5WixgGmQtstLCZSh6B0sLSo6l3DF55f1dhEoY3Vx6vCD2JlS35Pyb3JXT2mBkoMmnkmXXU4oz8G5CaZTS/QGIwBcM7ilPUVF3u9xo/cpJTCVYigcY2ukky3RTrZGOhmJlI8XrAdeYX4zCrEk/qz2eH9TNadbVXthKvjzK/byzN0jxbNeBfxzA7okCILQEERUJDQSrfWV57HsCeD12T9BEAShhRBRkSAIwsbw3NzEz0an+dWEOGMIzY3Z5IMgwsbxiKGt+ekj8XHimfZzUSsSVCggnzeUWBmNtukwPRcca/V9v+nkQQ50D6GUwjR8hHwRbp+8md0dBxiOLItt/IbBDSODPGp4gENzcT516AhH5xcraiNgLr+OufQ0B+fuqKqPKisuUhiYyodp+PApH34jwHB4B72hwarW10j8ho/tsX62x/q5ZjDJPdMnuW/2NOkGiejayQ2jKxAsWT47NUU6k8EJOXmRWnfAn3ccKkXv4BBmGdeg04tuDOUl3aWjyjKpFEfuKeeyX14Y3N3fX7J8PpMpcCkUquNIfIreAVdUtDNW+jNrJxotjjBQDIajbIl0sjXayZZIB8PhjpKOeDkasX0bTR6DWegiJ9QCMXytH1ujIb70xIeXmvVd4DN17o4gCEJDEVGRIAiCIAj1RkRFgiAIG0P+VjkRFAmtgNHkd6MLG0NfIETU588/v3P61Cq1W5eIGSh4CuTz3q7s28FUcoF7Zs5u2m3dMLyDirV5D5KOxcnFWXbGXJeULZHdnFk8zoPxuxhNnGJbdA99waG8q4OhFBd3d/HBq69kNp3h+2dG+eLxE1irjHr6znPwVqOxtQ3YWDpTMMI6lRoj6usg4usgNwyrlOt25MakKRTG8rRS7IxdWLD+E1nnErcmGMrAUApDlY6ZVLm62Tq4LaAU2TZcPxqFKwwzlVvX7dvy+mL+ENcOXcgVfbv49eQR7p85XXfnosLYpLo2veF0+AMly+emZwBIWjYRv3sRvz8YIJ6xSFqlHdoHt20rWZ5yHMYSKYbDITr8pX+SHzt4P5l0OWeh8m9y32BpcdxkMlF2GWFt5tLLgtyAUToer9UpFAfWt93+UJStHgHRSKQDf5Xv83Sq/qJpo8Clpu7NV0WjhWLtimiK6sNF3VE+fP1lxcW/AF4IHKt/jwRBEBqLuI8LgiAIglBvRFQkCIKwMeTzg/tC/tXqCUJTYBYMzgvtymNGduTFB4tWitOLMw3uUW0YChe4RvwCGPcWPH7rAbZGe/jO6XKuH+1NgVNRDRUf3z51iBv3X4NSiqAZYii8ldHEKeYzM9w/exshM8KWyC6Gw9sxDfdniFKKnmCA5+7ZwXN2b+fQXJx/PXSUB+cXVr4Ow7vf2njPhUVrnkVrvuL6fhVgS3QXACcX4nzk3ts2vE+liPh8PLx/mOuHttEfDOe/42FfgEcNX8zlvTu4dfwwR+fH1ljTxlEYsdPaR5Wor7SoaH7OFY1NppbY7utEKYVhGOyMRji2sFgyBq1/eEU8CwAnF5bQwL7OWMn5tmVx4oFD5TtZ5i0OR6J09faWnDeRbD+Xunqywg+vLanPuaFPGWyPdbEz2s32WBfbo12EfZX9ftJak9E28XSCscQcUV+QXR0DAKSc0uK+WqJayKmo+XonCJXx3L1beOWlu/AXOpWdBJ4ArDxhFARBEARBEARBEDYcERUJgiBsDGdyE90BERUJzY/En20OLu9bdqw4Gp9sYE9qS9RfEFf0C+AjwOu8hRd1DfO9M/duyu3d66RQSwebseQCk8lFBsKuUGJ7bB9jidP5gdakvcTR+fs4ufAAw5EdjIR3EvJFlvuZdS/6+6sfwlQqzZePneI7Z87l5/uabL/ltZy3df2CZZYsix+PnubHo6cZCUd5zu6L2BXryg9udwWiPHHbFYwn5rh35hQpO4OjNQ4OttY42sHWDrbjYGkn/9zRGo12H7Wucltpn4HrgFnaHWVpwR23tByHmVSSnmAIpRR+02BnLMLh+EKBU0kgGCTW1VVyXccX3OizrZFQyfnjp09jpYuiGyvI2Nl14QUlXbEAzi5WFjMolCbiEb2k7fqLV+pB4Zazcd9knzLYEetmd0cPuzt62BrpXDXGLN8DrbG0w3wmwXgizvGFCY7FJ7A8otIbhvZ76m9Ylyum6fVlTd/B1qfcPlc4fzr8Jq+9fC9P3rHCge8B4EmIoEgQhE2MxJ8JgiAIglBvRFQkCIJw/hhA3ovbaoKBTkFYC0O1TlyDsD6iPh8xzyDooblzq9RubTr8BQPzY8ApYAtwNlc4k1psCiFKIyhwKqrxe/DNU/fzRxc8HKUUITPCcHgH5xInCupY2uL04lFOLx6lO9DPcHg7faFhjGw/lVL0h4K84uJ9/PGFu/nJ2ASfeeAYPs/r0HUU8ZTDKBAVNWbbOpdY5B/vu52RcJTf33cpQ+FIfoBzMNzFYLi0qKVScmIjRztovezDoXGFRzmRUszzHXzajn3s6+rJipY0Vla8ZDmueCnjuOImb3lhHb2iPFc/49hYWmM7Tk1cSdyoudIDxFbGyk/PppP4DIMOfyDrzGXSHQgwk1qOK4t0dpRt5/SiKyrqCZZ2RZo4d3ZF2VrRVKbpY8e+fSXXN5lKsmRbJee565ZB8bWIecSrC5lysXTtw/nu0jr8AS7uHuTi7gF2xrrXjDJz9ycO85kk48k4JxcmOTo/Qdopv91C452CClza6t762ni/2Zv1HKjWyN6zNjx+Wz+vv2IvnYU3bJ0FXgz8oDG9EgRBaB5EVCQIgiAIQr0RUZEgCML62AU8E7gKeBSwPTfjN1PxBnVJECrHkyJUU+cSoXFcN7g1P9iWsjOcXpxtcI9qR6zQqSinYDkH3AQ8HeDo/ESde9U8GHV0+Dm1OMdEcpHBrFvRjtg+xpKncXRpAchsepLZ9CT+eIDB8Da2RArdi4KmyeO2DPPYkaEC4U4zxMwYLF/IzTiNFTmdSyzy/rtvZX9XL8/bs5+uQGkHnGoxlYGpAFYXBBRzUVffhrS/GjOpJPfNTjCTSpJxnOyfnX9MOw5W9nk6X2ZjORtz1JtMLhEyfXlno6jPZCa1PN80S//U1sCiZRM2zQL3LS/x6emq+7Pn4v0EQ6U/96PzlZ+bNv6b1ZzEPLF4c+n2FxWth5Dp47KeIa7oG2FnrHvVulprknaGyeQ8JxcnOTh3jiWr+vdVFRzfql78vCn4Bjf5l6fJu9eyiKhoY1BAd9DPYsbiFZfs4rn7thZX+THwHGDzntALgiB4EFGRIAiCIAj1RkRFgiAI1aGAdwBvpsQI28HZeX50Vq5zCc2PWeBUJMMM7cglPf356VOLM00hwqgV85kkA6G8K0guC0UBD8kVzqUT9e5W0+B11KmHiPBrJ+7lZRddjVKKgBlie3QvJxYeWHWZjE5zZukoZ5aO0hscYmtkF93B5W1YKVUkwGj89uy9kGvVwDVnPRycm+Ydd/yM6wa2cMPIDjoDAUylUDkvGuU+et/JVo1u6QmGuH5o+9oVS5BxbJy805L7Z2VdlFzxiLt9ebeyE7FOgouF+xFvVJpR4fuYW2fUV16olVxaqmhd+X4Eg+w7cKDkvIx2OBoXwfv50uERr06n2vN44t3eq9kt7Ix1c/XANi7uHijrSKS1JmGnGU/EeTA+ygNzYzicvxiz8XG+jXVKWosCUXEjVFebgHLudkLlXDfUw59dvoftsXCp2QvAe4EPAKLoFARBEARBEARBaBAiKhIEQaiOFwFvLS60teZ/z07y4buPYMv1WqEFaPwgjFBr+oLLF+bPtrFLEcBUcoE9HQO5p9uyjxfnprXWHIlvXsGn9/tu1cFR51xinlOLc+zIOlVsi+5hNHGKlF3ZQPx0aozp1BgRX4yR8E4Gw1vxGQXxF02x3/I6FTUq/qwcP584y88nVkZolSJgGPgNA59h4FMGAcPMP/crA59h4jPcV2solf8zlXLrGCZP2bYnP3h9x9QUScvCZxj5dfsNA1Mp99FQmMrAl12H4Xk0sqInQylUDQVQa0UxlSLs8xMq4z4EhQ6AleBbZQG7RFTZaqvftmsX/kDpKLVDc7NYTRAX2Op4RUWTyfYUFXllRWtF4vmUweW9w1w3uJ3hSOmoP0c7TCbnuX/2LPfNnMHaABFRMarBop5m15N43x+7CUVP7UCzbwPNzjN2DfOGh+wtJ8y9HXg2cLyunRIEQWgJxKlIEARBEIT6IqIiQRCE6nhdbmIikeJ/zkxwaG6BOybnmE5lGtkvQagK74XbZryzWjh/gp5B87lMuw6AutiFA+a5/J9h7/zNvJ2byit+qY+44MvH7uJ1lz4qKxQx2dtxCffN/rqqdSxZCxyZv5fjCwcZCG1lJLKDmL8LRzvMpMdr1PMq8MZItvDmlc7Gg50PT9m2Jz9908kTHJmfP99ulSRgGIQMgy3RKI/dsoUd0RhB08wLnNztDQyWBUrQnG5Mq4k2dIkNajWfLtNX/mf9fTPVRak9ZmQPu2I9roMTOScndx+ac3fSmvxzB53vkEZjOQ4px8ZybGytsbWzQgRY7pUfnp9iNp2sqr/1wFQGYd+ysHE0sdDA3tSOSnZjAcPkqoFtXD+0o0BolV+H1kwk57lj6jgPxEc3vpNFqAaL5H2qecWlUHi+34z9awfWEuAJ5XnmrmHeeOW+crNvBp4GLNavR4IgCK3vz/qoAAAgAElEQVSDxJ8JgiAIglBvRFQkCIJQHXtzE2+77RB3T0uchNCaFDoVNbAjQs2w0eSGQEsN/LUTS1ZBGsKO7ONdQBII+QyTqwZ28+PR1SO42hWzAYOeC1aa2yZPc9WAG0/VFxqiPzjMZKr6QWZb24wmTjKaOEnYjKJxSFboelRLGu2Q0Ux4h1RreUzJCaDic3McnJureDkDiPl8RP0BOvx+QqaZdVBSmFknpYAyCPt8PLSvDyh2n1BMJBJMJwsFLzG/Px+BVjywXC5adFnoVHH316bMyqbTqYoEY5EiUdKujp4N6Va1aK359wdv42STuet1+AtdoMYSbTrG7dlki11DDBQPH9jKb43sJlbinCJhpblv9gy/HD9SE0eichg09nzW63rWLDGYXrzDjbYYlglNxP7uGK+7Yq+36BxwGvc8/ofAKxBBkSAIQllEVCQIgiAIQr0RUZEgCELlBIBY7sl0Kr1KVUFobvymJw5JYlHakslkgm1RN5LkmoE9PBgfZyGTanCvasN0qmDM4WG457iTwNuAvwO4sm87Y4k4h+Zq75zQbBQ6FdTv+/6t04e4tGc47/Cxt/MSZiensPT6nf0SdnOOL5UTkGxGnCYUWDlA3LKIWxbnVtGjKaA7WDpG7FwiwUyqUFSkFHlRUa1R63AYtCt0oEpYFjG/f+2KNUYpxUN6tzSdqMgrotFan7ezV7Pi3a68x40LO/t48vYLGQhFC+trzXRqkZ+OHeLE4lTd+umlwKmoAfse73BeM4r0G+3ktBloQiO8luBND73AGwPqAI9AYs4EQRAEQRAEQRCaFhEVCYIgVM4InmvHU0kRFQmtS8BYHgax2nRwbLPz1WMP8OpLHopSirAvwLN3PYz/OXMfZ5aaa7B2IxhPFkQtxYBOYBr4OPAqYLuhDJ66/TJ2xnr53pn7GtDLxlHgVFTn7/uXjt3Fi/e522HADLGv81IOzt1R1z7UikKnIiHHZorY8b7UjRxXrlakVi7ereK1FC1+38wZNz5OKQyWH12hSS5aTqFU4fdAKTCViU8ZmEqhlIFRpn/evnX4QwXraDY6fMuionYWYntFJz5l0B+M8JTtF3JhV39BPa01Y4k5fnj2PqbSjY2C8zoVNULcuR6xX6No9v4Jm4e+oJ8LugpEivchgiJBEISqUIhTkSAIgiAI9UVERYIgCJVzQ27i7GKSpHjICy2MKXcutz3HF+e4deIs1w5uBaA3GOW5e65iLBHnnukzHIqPkrKtBvdyYyghlMmd484Dvw3kVSyX9GxlPpPilxPH6ura00hMr4iwzq/5+MIMh+Ym2N89CMBAeAvTqXHGk2fq2o9aoBrkANXstPIxpZl7XqC1qbCjlb4e77p/NvYgv5o8VuGSG8Ozdz2cbdFeoDm3n5gn/ixtN1/E1UbhfeefsHUffsPE5zl+aK2ZTS/y7dN3MZVqrJgoh1eE1ohtpwk1cE1Bp9/H3o4ouzoiBE2DlO2QtB0Sls2SbZO0bGytcbTGwXXG8iuFz1D4DIOAofApA6Ug42hMpQgYioBpEDDcP1fcSFYA6X4WGUczkUxxJL7IiYWlugTxyTZQHY/Z0serL9tdXPyNRvRFEAShlZH4M0EQBEEQ6o2IigRBECrncbmJ2ybbz+lD2Fw0ehBGqA9fOnaI3mCYC7t682VD4U6GtnZyw8j/z959xzmS13f+f1VQ7m51TtM9oSeHnZlNsLvssguYaDAGDMY2GJtkwIHk888+7DPgcNyZx/nOPgcwtsGkn3HAGAzsAmvS5jSbZienns7TWVmqqvujJHVJLanVSak/z8f0o6UqqfSVVKrW6PvW57OPM/MTXFy8xkhklnCqoaqveRynTwB/CPxuZsEt3UP4dTffG32u4gOrBmclB6MK/Vn+8eJT/H9H78Sr2e2V9rQcYTE5V7OtzMrnDGdWcRg1Zqu2gitWLWjZ5da4/ZxHdYNnsatddUultoPOzY72Z5EGCeMW4tyHM20rM2JGkntHn+X84mSlh1VStfdd58u+9vbcyhkI+DgYbOJQawsHW5vZ3RJY+UqbLJxM8dz8IucXwlxcjHAxFGY4FCW5wceYau+D9UDBDhP9wr4BDrY156++F/t9uhBCiFUo9/8eQgghhBAbRUJFQghRHh14WebMY1MSKhL1LaddhHwE3tD++tQJ7ugZ4OUDu/A7Jgl1VeNQWz+H2voBiKQSzMbDzCYiTEUXuRqZ5VqsNioRrCRlmYSSMZqWWugcB4YdF/l9YAfw1syCI239nJmfYDg8U7mBVklO+7MqVdT5wrkneMe+m1EUBU3VOdR2I09M34dp1W/VD6XGgxDV0qgBq1V/br/B+4QzrKXkpYqKBbnK/f6yc2tVeU/grJ5Ykdoiq9PkCBWFkw0VwM0Kuj0E8oJEAKZl8sT0Ze6fPFuFUa2s2sdhpcrt16rBr2nsb23iUGszh1qbORBspsW9fN+ptoBL56bONm7qbMsuS5omZxdCPD2zwJmFEFfDUUbCMeLraA0rc7ql3d7Xzi/tHywUJkoBHwf+CGrwwC+EEDVOKhUJIYQQotIkVCSEEOV5N9AL9oeRj0ioSNQ5LadtTxUHIiriRxNX+dHEVa5r6+Sl23bR729CzZsF8etu/LqbbYE2SM+/xIwkI+E5zi9Ocn5hipiRrMLoyzMWmWdvMBsqejHwdcdqE/hF4I+B5wBUReW1O47z3ZGTnJofr+hYK83Z/ixZpRDPSGSBH41f5IV9QwD49Wb2tRzl1PwTK1yzdjknkyvdVq7WKDmhkMb8o1Lo28Cl7ulKAYNSAQhN1zBSua9V56XzR2KkClfPcb72S1FyU0UVp9Z41a9mR/uz+UTjhYpu6OzldTv2ApA0DFyaBsB4ZI6vX3mCmFm7f/urXSmoyi+dFak57/fXNsJ2j4ubO9s41NrMwdZmdjT5l72HLMSyLGJGiriRQlNVdEVFUxRURc25vkLmsbOwLDvYaLF0jFQVBSvbKs1aaptmZa+VzXDqqopfd6Vbpy0fo0tVOdTawqHWluwy07K4sBjmqZkFnp1dYCQS42o4WnbQSDJFhfX4PPzODXu5ubu10OpvAh8AajOtKIQQQgghhBBiGQkVCSFEeT6UOXH38CQLycZtfSC2htxJmFqcBhGb4enZazw9ew23qvKKgSGua+uizeMtOjnk1Vzsbulid0sXZr/JldAMT81c5fziVIVHvrLh8Cx7gz2Zs88rcrFTwG3AdwG/S9V45eB1tHkCPDx1sWpVfDabM0SYWse38dfrP8cvsKu5ncEme4Kpy9dPOLXIcPhc1ca0Hs4Jy61SoaKQ/NhK3Vdtstj0WWIFSJZIz6iqhkHxUFE+q8i2yv/+cg21kKrB/cevO0NFsSqOZGN5VI037NrPDZ292WUuTSNpGnx35BnOLU5UcXSrV419J/ftU+3tu87w62q+RODXNF7Y28GrBns52LqswswylmVhWCZziRjD4XmenZ3g7ML0Woa8IQK6m2PtvexqbqfLG6DJ5S4aNFIVhT0tTexpaeL1O/uzyyejcYbDUa6EIlxYDHMxFOFyKELMMJddXyzRFPjJHT38+pFd+F3LPnL+V+APsFsTCyGEWAdlFe/0hRBCCCE2goSKhBBiZS5gd+bMP18creJQhNgYOd+srr05ELHJEqbJv185x79fscMcPV4/+1vbGfA30+sL0OUL4FZzJ19URWVncyc7mzsZi8xxz8hJZuLhat2FZWZzx9JX4qIPAD8J/BsQBLile4h9wR5Oz42jKArziSin58fW/K3+WuNsf5YwqxuK/ezZx/nwdbdnJ+l3Nu8nnFpkJl5fk9eQX6moMfaVtVDzPtCu91BRsUzRSpWKVjOtrFD6cVIKVBgqdVumWbgC2Vomu6sRNM4NPtTe/uPTllo7LTRI+7MeX4C37T1Cty+QXWZZFifnRrh37GQVR7Y6+a0AqzGCjNrbc3NDT+UEpzVF4ae29/KW3YMlW5pZlkUklWQiGuL84jRPTY+xkKqd10Y4leD+ySvcP3klu0xH5WBbF4dbe+gPtBDQXWhFgkYA3T4P3T4PN3YuVdoxLIvRSIxLi2Euh6KcXwzTpGvZ9bW4D1TSgdYm/usNe9kdDOSv+ibwUeCRig9KCCEalLQ/E0IIIUSlSahICCFW1us8MxyKVmscQmwY50SjVCoSE7EIE+ORnGXNupvnd/dxvL2b3rx2aX3+Vn5u6Hn8y6XHGY/OV3q4BeW1ZusDvECxkhLfB24B7ga2A7R7Atzak82PMtTcyTeGn9qMoVacM1SUrGKlIgATk785/TC/dui27Lj2B4/z5Mz9RFKLVR3baik5bWUas8pVOfLzL/X+F6VYDqdQFZS1tj4yKR2eUbUCoSLn5fMGaRZ5XZcbKqp2oQ3nOM0afC01uzzZ09eikRKXtPcJn67j11y4VJXJWKTmglKHWjv5+T2H8GpLHwfFjSRfu/w4E7Ha+Ju+FlVvf1ZbTzOQ31qw9AAPBpt4/+E97G5ZFgjBsExmYhGuhOd5bm6S8wvT1N4rtbQUJk/PTvD07FKIWQX2Bju5rq2X7U1BArq7ZNBIUxQGAz4GAz7uKHSBGtwHKmGoxc8v7R/kJQNd+atmgfcDX2DLPjpCCLE5JFQkhBBCiEqTUJEQQqwsO5NgWBaJEu0qhKgXtd5qRFTfYirBd0cv893Ry6jAbT0DvKR/B0G3fUh0azqv23E9X7n4KNPxUHUHC0zHwySMFG57ktQLvAj4VomrnAKOYLdheH/+yr3BHvyjbiJG7Xzzfq1qKVQEMJeI8Y8XnuLnho6hKAq6qnO47WZOTP+YpFk/j7ez5HythQaqqVEfCbPA+79SWZxC1YZytlcqVFSoUpEzU5S/br2hotytlXWdjeSsNmNWeQ9SUPDpOj7NhV930eNrQnc8H9sCzfQHmgnoLjs8pLvSp134dR2vpuc87inTJGoUrhBXMKim5NbeMS07+m1ZFiYWlmW/h1Myj5rjtPO6SubeKLnn3aqK5rg/lmUxGpnl3y4/WnchEdj0ToUr336ttz/L2RcLX8arqfzy3h389I6+3C8dWBaTsRA/GLvIs3OTmz3UqjCB0/PXOD1/LbtMBQYCQXY2t9Hva6HLF6DF5cGlakXDRhlb8YsaL9nWye/dtA9X7t8tC/gS8FuAlHkWQgghhBBCiAYgoSIhhFiZP3MiadTjx+1CLOdRaytkIGqbCfx44io/nrjKqwaGeEn/DhRFwau7eM32Y3zu7H1Vn0YxLJMr4Rn2tHRnFr2T0qEigEXgA8BXgTcD73GubJTJIeckYbJIm6RKO7twjR+MX+DO3iF7X9J8HGy9kadnHsKqk6ntnPZnW/g4quW1P6vnoOp6Agr597vY5HNmTzFKPEyFvnlcuv1ZkVBR2ffIWc2kzKtsIOcxan+wO/u+xLQs+wcTI3M6/aMqCpqiZEOTZjp0k+EM1ago2cBN5neTy0Ozy4Nfd+HX0qEgzYVXL97yCeClA7tWdd90VaVZda/qOpViWRYPT53n4WsXqj2UDVHtv9m1eOTLCagVGOHx9iAfOrKHPr83Z/lULMyXzz/JdLx0Za5GZAJXwvNcCedW7VKB3c0d7GxpY5uvhXavn4DuzgkdxooltxrUa3f28lvX78lfPAr8HPDDyo9ICCG2DgWpVCSEEEKIypJQkRBCrOz1mROLycLfNBai3ji/TRqvkZCBqA/fvHoBVVF4cf8OANo8fgYC7QyHZ6o8Mnh2dtQZKno98DPAP5dx1R+kf1Tg3QBn5ieI5rZUq1u1Vqko4wfjF+nxNXOw1X7Ogu529gWPcnr+RJVHVp6cChA12LKpUhqp/VnJCE7BqjJrv61SFXkKVSoqxSqSBNLU8gbovFg12o85R9nnb6bP31zxMWy0TMhspcom1ZIyDb599Ukuhq6tfOE6oVS9blHtyW3TuXSc8Gsa7zqwk1cP5nT5JmWafPvqaR65NlKxMdYLEzi7OM3Zxemc5Xf17OJF2+z2uXOJxnjfuJIX9XfwC/sGONi27Fj9KeD3gKnKj0oIIbYYaX8mhBBCiAqTUJEQQhSmAkPA+4APZhb+aHy66BWEqCfOiUZjC0+Gi7X5xvB5ntfVR5PLrr7Q5w/WRKjowuKUswUawE9TXqgoIzsblDAbJ0TqrAJi1FiI8CsXn+LXDt5KhzcAQLdvG9FUiCvhc1Ue2cqc3w7dypWK1LxvyZZq61XrSo68QDgkpyVZ3vqiLcnSv0s9ToVap5WqwrLeIJCaU6moCu3PajB4Y6XbjuW3kIuk4iRNg7iRImYkiBkpIqk44VSccDJOKBVjPhEllIrhVnV2NnXmtBtbsvw+K2T2QSu7cymKioqCqtjVllRFsVuiWfbl7PZo6RZpjuvaLdOW9hsr3TrNwCKWijMWnV92+/Wofo82leHc8zItHI+2tfBfju6l17dUnciyLIbD83zh3AniDfT+pxKSjuqKW2F/fMu+Ad57eGf+4lHstsNnKj4gIYTYogpVNhVCCCGE2EwSKhJCiFwtwMeBXwKCzhVjkRh/c+pyNcYkxIbTc0IGW+EjcLHRpuPRbKio1e1f4dKV88zsCDd07sicvRnnPO3Kst+s9qiN8zZZdVYqqsEQ4V+ffogPHb4DX7rt0I7m/cSMKJOx2q6U4AxCbOX2qKssqlPTMkGMQhkXTVt+R53Pev51SgV9VKVg4SPHtkoHmJavK7yy3PZnztsrVUFpszgrzISTSWKmabcqww71qOkxKo7TVrY1WmYbBYJdVjZmkw0JZZbHDIO5RIL59M9MIsFsPM61eJzJaJTZRAKA1wwO8rNDQwCEkjH+/mz5HX0SZoozC+OrfThEnaq9aFzua0tVFX5l/05ev7N/WVvUr10+ydOzE9UYYt1zPu+N/D+qFrfOJ245yLGOYP6qCezKoBIoEkKICqrFUL4QQgghGlvjzJYIIcT6NQMPAIfyV1xajPA7D58klKytCg9CrJXuqFS0ldv2iLWbj8ehyT7t01zVHYxDXpWNfcBB4GSZV2/JnGiU1mdKusJFRi1WYEqZJn996iF+/dBt6OmEyt7gUeJGlPlk9StgFeOsVGSwdY+j+S2HigVc6kXcMPDq2rLlqrZ8mfO+5n+sb5YImmmKktOKKJ9SsG1Z8csXq4pU7lxDTjWTarQ/cwz0ny5d4rujoxUfQzFBtzt7OtYgfxcalUytLed8bb197w4CrqWPAC3L4tLiLF84d4LUFv4btl45+12d//0r5uauVv7geQdodud8hHwO+DDwHSBalYEJIYQQQgghhKgYCRUJIcSSd5IXKBoORbn76iRfPjdCYgu3NhGNR3dWLpF9W6yBs+JNfnuYavFqLm7q2pm/+NIqNpHInKiNe7R+Wt5zU6uv94VkjM+fe5y37b3RrkyiqBxqu4knp+8nYoSqPbyCcis91ObjWgla3qul3h+JYt/6VdXloaKcSkV561YKV5WsVFTgCGTlrC/vtgptp+DlnJWKqtH+zHG61trn+RxhsoRRe6HMra7aVbZqnfO15QwUpUyTr105yVMzUklrvZz7YCPugfuCAT5xy8H8sG0CeDVwujqjEkIIodBA5WKFEEIIURckVCSEEEtuy5y4b3yGP3z8NKGUVCYSjUkqFYn1CuhL1YlKVdyopH3BnvxFHwciq9hEdsakNu7R+mlK7oeNcaN2/65dCc/xH1ee49XbD6IoCrrq4nD7zZyYvp+kGa/28JZxBja2dPuzGgkVbpRiH8+vtgJTsXCSBaRMq+QxZrXtDIqHispT7VCP87VUa6GigGvpb128Biu9bXW5+27VhlGThprb8Gi5H/lZlsVYZJHPnX2cmOzPG6RxQ0V7gwE+ccuh/EDRF4G/QgJFQghRVYoioSIhhBBCVJaEioQQwuYC7syc+dbwhASKREPLCRVt4QobYu26vP7s6el4bVSS2R5oz1/0JewmbS/HboWmYFcu+jeWwkY+oDd9uRszV0yajfE3QFNzP2ys9Uobj8+M0urxcXvPThRFwav5Odx2M0/NPIBp1dZz4vwgN7mFw5n5oaJaCRlWQqnQTqkQkltViZt2XZWC2ygQKsrZ2rJSRcXHoZRenb65Klcqctx+re0/LY5QUThVe+HGrc55/Kl+68XaCFi6VJWXbdvDbT2DOcuTpsHXr5ziyZmxKo2sMTmf9arvghtkW8DL39x1jKB7WXvj1wNfrcKQhBBC5GuwL3YIIYQQovZJqEgIIWy/BHSB3cLksWtz1R2NEJus2lUJRP1z1tmo/kSerc0TcJ79EXB9+ndX3kXHgKvAfqCl0LYWEtFNGGHl5VcqqodWnveOnafT6+dgq115qtkV5EDwek7OPUat1AHIbyuVapAQ2lq48oJrdf83ZZM/n8+ZgC5yc4UqFVklUkWljsEKCqXrIuW9J6jCa6yW35O0ut3Z0/OJ1RS+E5WQU+WqCvtuje2ubPM388Zdh+nyLb0fsiyLyViITz/3CKm6b1BZe9RlR/X61uf3FAsUfRE7lC+EEEIIIYQQYguSUJEQQtjVKT6aOXP38CSh5NadHBRCiHLMJ+J0pqsV5YV5qqbZ5XGevSP9U0hf+qegmJHk7MLEBo6sevKrOJh1MqH4lYtP8+79Pvr8duarw9vD7pbDnF94psojs+WHipJ1ENbaLLqS0xal5kIhG6f0/VrLvS7aaq3A/qSWKIehqMWTUCsFiiA/1FP5fVmt4UpF7Z6lvyszsdqoyidEPk1RuKtvJ3f27cwJEydNg69eepZn5yarOLoG5ziA1tbRa/X2BgN88rbD+YGiYeDXgK9T/3dRCCEah3Q/E0IIIUSFSahICCHgk0A/QMIw+fvTV6o8HCEqK39yXIhyjIRD7G5pA6DV7avyaGzXYiG2BdqWLU+aBpcWr+HWdHY0dRS8rmVZLCSjzMYj/GjiLOFUYrOHWxFqHb++P3P6Yd5/+HZa3F4A+v07iKZCjEYuVXdg5LY+A0ht4fZnmprbOmsrzTiu9dVlUXoeYLXBnkKVjTK3U9bzUe32Z9RmqMivaeiOSlyzSalUVMtqaNepqMFAC6/beZAeX1N2mWVZjEYW+NzZJ4ibtd32tN41Svuzdx/awZv3bMOj5fx1+jrwNmC2OqMSQghRlLQ/E0IIIUSFSahICLHV3Q78SubMl89fZTLWGBPJQpRSx595ixpxLb7UHiyge0pcsnJOzAznhIoM0+T84iT3TZxnLt22ptvbzO6WLuKGwWhklpiRImGmcKl2tRVNUVFQ6PQ2YVkWhmWRMg0SZopEHba4ym9/Vk9M4K+ee5APHrkdt2b/t2Wo+RDRVJjZxFRVx5b/Ee5WDhU5QxeNUKWo2Mfzq23zWCzoA+VVDyol/9rFQ0Xl3U612485x2/UUNUvn577ccliIlalkYhiqh2Mr+Z8nlvVeOm23dzSPZBX7cvk21fP8PDU1eoNbktxVISs4ijWanuTj0/deYwWd87xzgTeB3yqOqMSQgixIgkVCSGEEKLCJFQkhNjKFOB/Z86cmQ/x2dPDVRyOENUhn0WItZiIhLOnfbobBWXdE+XrdWZ+gpT5BAOBdmbiYc4vTOJSNdo8AXY2ddDq9tPk8tDs8hJweXiBthtd1VbecJphmcRSScKpOKFknIVklLlEhLlElPn0j1Fj4RK1zl/gMTPFZ848wnsOPB9VUVEUhQOt1/PkzP1EUtVrRaTk1ZkxzHqcStwYuiO4VktVZsTaVKNFojMYkqqhfcijLf19qKf2kVtKTuup6lbZqmQgL+jy8It7j9Prb8pZPhFd5PNnn2CxQaot1oPcSkW1c/wqx/GOFj528/78QNEU8C7ga9UZlRBCCCGEEEKIWiShIiHEVnYXcGPmzJ8+db6mJjKE2Eyyq4v1Go0uZk+rioJfd1W9ZVhA96Ar9iTwwdY+7uzdl61wsxE0RSXg8hBweegu0PHNtCzmEhEmo4uMReYYicwxFVtcfsEKUh2Bj3p92U/FwvzTxWd4067rUBQFXXVxuO1mTkzfR9Kszj6XXxmmHqtYbZRGq1S0GqXubanJZTuIUDuPVbUrFTnDj6kaqlTU5KhUVDvPlnCqduspzdk6sEJ7SbvHxzv230BrujUo2K+bb189zSPXRioyBrHEefyql+OEW1X477cc4paeZS2DnwReBYxWflRCCCFWpX4LEgshhBCiTkmoSAixVWk4qhQ9NjXHM7PVnfgVQoh6Ek6lsCwrG67waJUPFQXdPrb5W9kWaGObv402j39d2ysWAijVxshJVRTaPQHaPQEOtPYCEDOSDIdmuBSa5sLiFJEKP0ZanVcqyjg1P8kPxi9yZ+8uFEXBq/k51HoTT808iFWNyip5beVqKQhRaS5HqKgRwtnFik7lP+eQO4Gc/0qzSuwTqlJ68nmllk7LbqvYsWsNraGqHSqqpXhe0O3OnjZrrAqdyKhuoMO571biteNWNd6y52hOoGgkPM9nzz5GYgv/Haoqx2G2HooWbgt4+ZNbD7Gjedl75s8Bv1T5EQkhhFgLq0H+ny+EEEKI+iGhIiHEVvVy4GjmzN+evlLFoQghRH2yWJpLCehuZuLhUhdftw5PIBsgGgi00uTyrnwl7Im+qJFiMRFnLhFnJhZlOh5lKhZlIRlnIRFnIVk87ONWVYJuL+0e+6fT66PT46fD66PZ5car6aiKUjB85NVc7A32sDfYA8BoeI5T8+OcmR8naiTX9kCsQm77szqY7SrhB+MX6PU1caC1G4AWdxv7gkc5PX+i4mNRHV8NtdsibV26MxDSAJPaxYIBmlYgVOS4bP7r3ywZKlJKh4rU0gGmZeuKzGQr6Z/VvPIrHZ7JP2rW0j7U5V36G5MwU1UciSgmd/+pbiCuEqGi1+88SI9vqeXZ0zNj/POlZzf9dkVxueHN2n6fdXtvO//j1kOFVv098I4KD0cIIcR6SKZICCGEEBUmoSIhxFZ1MHPi5OwiT88sVHMsQghRlxKmgTfdXiygezZ8+4mhdFsAACAASURBVB2eJrY3tTEQaGebvxWf7l7xOoZlMR+PcTW8yNmFGZ6ZucbiOqsDJUyTqViEqVik6GV0VHYHW9kfbGeouZUuXwC3qi4LGvQHWukPtHJX3z4uLk7z9MxVLoWubdo0lPP2G6CIDP948Sl+9eCtdHoDAHT7thFJhRgOn6voOMqtXrUVuFQte9pogJ2sWDCgUNDHednl1YOKh2MyFcRMCncuUAuFinLKIq0uwLSa56XSlYryX0u1VO2q3bP0d63SVebE6lWlUhHOUNHmBuJu79nOde092fPDoXkJFNWA3PaRVRtGSS1unY/dtJ/nLW939gjwEPAb1HoiSgghRC5V/j8qhBBCiMqSUJEQYqvKzj7ubgnQ4XEzHZfJAiGEWA1nlQ51A0IWrW4/g4E2BpvaGQy04y8jRJQyTaZjUc4vzPLYtQkuh+fXPY61SGFyen6G0/Mz2WXNuptbe/o50tZFj78ppxWZqqjsbulid0sXC4koT8+O8MzMCBFjY/8WaY6WTVaDzBd96vRDfOjwHfh0FwA7m/cTTYW4Fh+v2BiUglGQranh2p8VeZ0UDPo4TucfAU2jdNAH0sfQKgfUdHKrrBW7/5slv0VbLVUqcrY/i0qoSBSgqpWpVLSruY2XD+zJno+kEvzdmUc27fZE+Zzvf2vxL6BPU/nkrYc53N6cv+q/AJ+swpCEEEIIIYQQQtQhCRUJIbaqbwNjQJ9HU/nAdUP8/qOntnT7ErF1yfebxFo5q1+41dW/rWx2ee0QUaCdwaZ2mldoZ2ZZFknTZDIW4cz8DI9NjTFRonpQtS2mEtwzcol7Ri4BcH17N3f0DTIQaMmZhGpx+3hBzx5u6RrizMIEj1+7zGRscUPGkBsqagwp0+TTpx/i1w7ehpYOeuxrPU5s+gFCqcqEypQan0SsJN2xjxkVbp21GYo+n5sQ/ilW8coqEE7IvaiVt6742FbKOXh1Led8pUM9y0JFFb310pyhonAqXsWRiGKUCrcfy+csErBZgbwWl4c3Dx3Jvm8wLZPPnHpE/t9ag2otvH1DZ5Dfv3k/nd5lIf2/Bf5XFYYkhBBio0jlXCGEEEJUmISKhBBbVRz4A+AvAe7q7+RPbjnMHz9xhul4srojE6ICUo5JQ2frGiFWI5xK0uSyJyq6fS0rXt6nudje1JENErV6/CUvnwkRjUdDnJy9xsNTYywk67daxBMzkzwxM4kK3NW/gxf0bKPF5clOimqqysHWPg629jEcmuHRa5e5FLq2rtt0hoqqMeG6WeYSMb504QRv2X09iqKgKRqH2m7ixPR9JMzYpt++KpWKsjRHBR+jVnu/rELRj+cLBX1KbaeMD/qLXaJQqCj3AuXf1kqT3JkWlhmpCgfD8js31FSlIpcre3oxGa3iSEQ5qt3+bDPaP2qKwpt3H8m+17Isi69ePsl0QvbHWuEMRtbK2yyXqnBXfycfuXFvTjVB4G+A94Bk0oQQou5JpkgIIYQQFSahIiHEVvZp4A3ASwCe193GZ+48zm8/9Byn50PVHZkQm62KrU5E47gcmqfHFwDgYGsfJ6avLKuw0+Lysi/Yy56Wbnp9LStOtCdNg8lohFNz0zw4OcpsYvMDIpVmAveOXube0cv0+QK8dsdehlracqoXDTbZ1Zsmogs8NHmB84tTa7otZ8u1FYMKdebC4gzfGTnLS7ftRVEUPJqXw2038eTMA5jW5tY7kUpFS3R1cyfVK6/86kFrldnWauYCSl62xMqVRu3V8ioVVThUlF+pKFVDoaImR6hoIdl4f4saQW6goxqVijb39l85sJcdTa3Z8ydmxnhqpnKtPsXKlApUqyqXCrxl3wA/v3eAZnfOx70G9pepfhMJFAkhRGPIT+YLIYQQQmwyCRUJIbYyA/gp4HPAzwB0ej381R1H+frlcX44Ns2Z+TCLyVRVBynEZnA5PoBIGvLZslibf710hhs6etFVFVVRePX2Y3zp/EMkTYP9wR4Ot21jINBWchsp02Q6FuX0/DQPTY5WrZ2ZW9VImgYWdhCn2xcgoLsIp5KMR0KbNk00Fg3z16dOoKPyqu1DPL+7H4+jckiPr4Wf2nGc8cg890+e53JoelXbV52Vihow/vLA1BV6fM0c6+gDoMkVZH/wOM/NPbapt6s4KxU1RJBm7VzKUigltcUfixzr+Zx/lY9jOVWRivHkVSqqeKgob+y18q5bITdUFJJQUU1y7j7VOPoom1ip6Fh7L7f2DGbPX4uF+bfLJzf0NsT6OatVVftt1geP7eb1Q335iw3gpcB/Vn5EQgghhBBCCCEahYSKhBBbXQR4E/A+4M8A1aWqvH5XP6/f1Q/ApcUI3xqe4F8ujhGX8IVoEM5S+Elzcyt6iMaVME2+OXye12zfg6IoBN0+3nvwLmJGEq/mKngd07KYiUc5tzDLQ5OjDIcXC15uI/l1Fx5VYy4RWzbfM9TcyisGhhhqaSWSSjIbj9Ht8+e0BVxIxDm3MMtoJMRkNMxkLMJNnX3sag7i0XQWEnGGwwucmpte8/1JYfLvV87x71fOcUtXPy8fGKLZ7c6u7/UHef3OG7gSmuHHE2eZiC6UtV1npaJGan/m9G9XnqXbF6DPb7fg6/T2srNpP5dCpzftNnOqY2zardQHLadSkbxPKlepGNBGVTwpZytezdm+rvLPn5r3SNRK+zOvpuUcP+el/VnNa6Q/cX2+Jl6380D2fMI0+JtTj1RxRKIc1Tx6vePA9kKBonngvUigSAghGs86vlQghBBCCLEWEioSQgh7zuUvgJPAZ4HtzpU7m/2899AuXjnYw0ceeY4rIZlUEA2ggSZeRHV9f3yY53X10etvyi7LDxSlTJPLoXnunxjhyZnJTR9Tu8fL9qYgh1o72N7UQrvHh6ooRFMpZhMxroTmubQ4z95gOzd29mav59dd+PXlYagWt4cbOnu5odgNBpo51NbJyweGmE/EmY5FmU3EmI3HmIlHcasaI5FFLi7OlzX+B6dGeXBqlGPt3bx2x15a3J7suu1N7fx80/M5Oz/BfRPnmE2UruykOSoVNdKEa77PnH6YDx55IU0uO4g12LSHSCrEZGxkU25PcT6uW/yAqivOUEojPBaF78N6qgEV3F7JESwfg5KzPm9dkbGVs2969aUAZVVCYXlDr5VQUUDP/ahksQFbcTYCpeQrY/M5X2PqBh0jvJrOz+2+LhtutiyLz599nJhZK3W8hFNOO9Qq/Qm8vjPI2w/mfITxGPAy7FCRfHtECCEakWSKhBBCCFFhEioSQogl/wkcBN4CvA54PpDt27Oz2c9f3n6Ud/7gBOPReJWGKMTGSDomDt2aVuKSQhR3U2cvrx7cnRN6cRqPhPn+2GUevTZekfF4NY3X7dyfExRy8uk6Pr2Jfn8Tt3RvW2lzSWAEGATKfpEE3R6CRR6Py6F57hu/yonpybJakT05M8mTM5Pc1NnLa7bvJeBoxbM32MPuli6emhnh/slzxI3Ck41ag7c/yzCBT516kN84/ILsROze4HVEjTCLybkNvz1ndZVGDmuVw7mPbXT7n0ZWKqRUuFJR8csXDRWV8XS41eqGipZVKqr4CArzO0JFlmVhVrUGiSjGufdU4xlyvsQ2Ym5PAd646xAdXr+9fcviO6PnuBIuL5QsKi+3cmHl/wZ2et383o37nItCwE8AG//mRwghRO1QJVUkhBBCiMqSUJEQQuSKAJ9O/yjAEPDrwPsBgm4Xb9+/nT8+cbZ6IxRiAzirSWhSNlms0uHWTt6060BOe65C5hKxDQ8UbW9qYVdTEBOIpVKMRkIEXC6OtXdzQ2dPTtuyVTgD3A10AGPAd7CDpgmgE3gRcBdwB3Bd+jqngc8AV4C9wCuA20vdyI6mIDv2BHnJtp188dyzjEZCZQ3u0WvjPHptnBf37+An+ndmg4CqonK8Y5B9wR5+NH6Wk3Ojy66b+w36xg58hFIJPn/ucX55700oioKqaBxqvZEnpu8jYW5slRGpVLTE+TdEQkX1p9qhovxAVKpWKhU5QpyyV9cupdotPh03qWxArOjF/UMcaO3Knj+/MMN9E5fXvV2xeZyHsErvgjuaffz9i47jWfqCiIkEioQQYmuQj/GEEEIIUWESKhJCiOIs4DzwgfTvPwO4va8DJFQk6pxLXZoQT9TIBJ6ofX2+AL+49wjdXv+yieCxyCInpse4pXuQNo8PgAOtHbxp6ABfuXBqzbfZ4wvwwt5B9gXbCeiu1VTWmga+AfwHcAIYxw4E7QdeD9wCXMVuf/lZoFhfkWvAP6V/VOzJGgP4PrlFNf4I6E3fxk5gB3AEO6g0kF6WvU8fuu553HP1IveMXCz3/nDv6GW+P3qZV2/fw209A+jp17Ffd/PygcMcaO3lOyMnWUwuBWick5yNXKkoYzg8z7eunuaVA/tRFAW35uVg6w08NfMg1gbWsch5XBv/YS1JQkVFlHgoFEWpSBitnMyw7ng/UI1QRn4Qo1bekbQ7QrOGVSv1k0Qp1Tj6bOTr+FBrFy/u35U9v5iM88XzT2zY9sXmyG3AV5m9UAHec3gnb9k3kL/qd4GHKjIIIYQQQgghhBBbioSKhBCiPF8nHSpqdsmhU9Q/j7Y0iRhLFctSCGHzqjpv3XOIA60dy8JEw+F5fjB2kdPz1wB4enact++7kU5vAICbO/sIJZN8c/j8qm/3xf07ePnArpz2SmVYwK4g9DvYlYac7k///P2qB2MzgXtKrB9P/xRyI/BB4BcyC142sAvDMvneaPlVCEzg36+c49tXL/DWPUdynpMdTR28dc8t3Dt6inMLk/T6g+wLdmev2+7x84HDt5MyTVKWQdI0i55Omgap9O/M+aRlYFl2NZPsZSz7eoZlYlgWKdNIX9asTtUI4JFrV+n3t3C8ox+AFncbu1sOcW7hmQ27DalUtEStdqWQDVb0LhRI6JR67ktVBlNK3Q52FbJSt5U/ErNIOLicyim5E+KVl1vlo3b2n26fL3s6lkpWcSSibDW0/6xWu8fHG3Yeyp5PmSafeu6hmgnZieLUnIqQFbg94ANHh3jD7v78Vf8N+MTmj0AIIUQtsKTiuBBCCCEqTGbGhRBiZQHgjZkzcUM+3hX1T3f0X09Vod2JqB+vGdzNC3sH0dTcSe5rsTD3jJzjubmpnOWLyQT/cPYE79x/Ey1uD4qi8KK+7ZxfmOX0/EzZt3t7zwCvGtxdbHUEeBi7MlBmVuUB4P8HvgzEy76hynkMeAvwD8CnSFcueuXgbtyaxreGL6xqYwnT5G/PPMVgoJlf3neUFrcHAI/m4pWD1xW9XtDtXdvo18C0TBKGQSIdPrIsOxhhh5eWQkemZWGkz6cse51hmjnLs9tMXz9pGhjp9YZlYWZDTSYJ0+CpmTH2B7vw6XYLoz7/DuYTs0zFRjbkvuVWKqrfieyN0GihomIVvQoFfZxVqvIDl1aJKoCqopQM8ORvayXFwjjlbEWrcovEjWgZtRm6vEvHylBqY9snio3j3H/q9eijKypvHjqCV7c/nrMsiy+dP8FiKj8XLWrdZu+DLlXhIzfs46WDXc7Fk8A/YlfMrNeXgRBCiNVSa/M9tBBCCCEal4SKhBCisOcBPw+8EDgKZPvtnJpbrNaYhNgwMcPMtkDzafJ2QCx3fXs3P7NrfzaUkRFJJbh39CKPTF0tOvk+m4jyubOP8879N+HTXSiKwi/uPcLvPfrDsr51f7S9i1dv3+NcdAl7smQaux3Z40B4DXerFtwD3Ab8ENgD8JL+nZydn+XcwuyqNzYcXuTjT9zHG3bu55bu/lWHETaTqqh4dRUvrpUvXAH7g0cxrCQz8cl1b8sZMGlyufm947dlqzoZloWFlROiSpomCdNMV3KyQ1GJvN+GZZE0TAxMUqZFwjCImynihpG+broqFPbvWomDSvuz1cuEdyyKBH8KVkUqtcHiq5QVrpsTKqrCfLRaQ8cspybX0nErIuEOUYSirD/U9MrBvWwLtGTPPzB5hfOL5YewRXVVKmR8rKOFT952GL+e0wb4ceAuQD6gEEKIraY230ILIYQQooHJLKIQQuTqBf4K+OlCKyOpFH/+zMXKjkiITRBLGdlWfn5XbUz4i9rQ5wvwtr1H6PL6cybLDMvkocmrfH/sAlFj5ZZ5k7EwX710kp/fcwwAj6bzs7sP8eXzJ4tep0l38bqd+zjW0eNcPI0d9JwqfK26NAa8ADtYtB/gHfuP8v2xK/xwbLisxzffv1w6zaNT47zr4DG8eUHB4dA8Pxi7iq4quDUNj6rj1TRcqopH03CpGm5Vw62quFR7uZ75UVQ0RUVTlXT4wJ4+UxUFVcmtMVJLgaZCFEVlf/A4j0//iLgRXd+28j7FbfNUrgKUk7OyjJU+b6YDTabzNJYdZkpXjrIvb6WrQdm/M6cNyyJhGsQNg5iRImqksqGnVLZNnkkkmSKUSuDWliY4G6HyXbHKOYUCNzlfEM6fTC7j9VAsVLTiaylv9XoqDGlVrjRVq5WKAvrScTRqSPuzelCNSKNK7vuk1bqurZtbugey5yeii9w9cnZDxiYqoxJHsJ/fu433Ht6ZH8L8HvAGJFAkhBBCCCGEEKICJFQkhBC2JuCdwEeAzvyV4WSKx67N89cnLzEcXt9EpBC1IGoY2dN+qVQkAL+u85bdh9kfbF82oX16/hrfHj7DtXhkVdt8bn6Kp2bGOdreC8D1HT3808VTpBxtgTRFYVdzK4fbOrmxsxd/bmWkWeBVNFagKGMS+DDwdUBxqRov3baL23sGuXf0Ej8av7rqgMbl8DwfffzHvO/g9WzzN3M1vMhfnHysohVtvKqOX9fx6Tp+zYXf5aLJ5calqKCArii4VA2PptmTsYqCng4oZUJMblVFU1U0RUFT1JwJO+flMsEmVVFQFAUVO/iUCTspjt8ZuuriYOuNPDV9P+up9VOoFVY1OO+bYi9AK3rpzffC3j5u7uzCgmxQyW5rZxFKJokYqXTLMDvslKnglDQzbe/sUFMq284ut+qTk70se470ZrPLMpc3raUAVe64lpZnzhuWRY/PR0DXSaVDVJlH2K9qeB0BKpei5pzPDzSUCgZlx2hZBcNHha6bm/fJa7VWIgykKkrJClK5lVaqESqqTa1ud/Z0KCntz+pBNfYlZ7Aw6PYwkK44ZFm5r6bMxTKvNwVo9/h409CR7GUShsFnTj+yuQMWG855DN2M91uv2t7Nrx7Zlb/474D3UZvtfoUQQlRCjX+hRwghhBCNR2YRhRBb1QB2azMFOAD8MrDNeYFnZha4++okT88scnEhXDNtRoTYCDFjaY92VpkQW48KvGHXfp7f1b+sDc1kNMS3rp7l3ML0mrd/99WzHG7rRkuHQF41uJsT0xMMNbfS7fVzqK2TJpe70FUfB94OPLnmG699/wG8HPgc0Afg03V+cvseXtA7wMnZayRNkx+NDzOXKG/eKGWa/Nmzj23eiFcQM1PEEimosW5Br9uxjxf02tUgml1B9rce57m5x9e8PVVZOm7GUgmemb2UrvKkZycYVdJhJ0VBUzQ0RUVXNDRVRc1UgFLs02o6FJUJR6mO5fXGpxf+L2antzrVnDZKOBjEamou+/JlhYqKX7ns27G3UyI0tMJ1c9ufVV5OME5R+M0jR7IBMGBZMDDDGdqww4p2dTUFSFl2+0ALsiHDZWFDx2ktG0xcqsLW4/Nlb2syOr/xd3yL6/EGefnAdXg0FwoKimJXrVp6XnJrWDn3B6dqV8hzHqNv6R7klu7BNW3Hsiy+cO4JEqb8j7OebXSxt5u6gnz42G7nokvAe4G7qc4hWwghRK1Q6+//iUIIIYSobxIqEkJsRW8EPg94Cq2Mpgz+8uRF/u3SeGVHJUQFJRyhIo8qbwe2qjt7B3nlwNCyYFkkleB7oxd4dGoEc51zFgvJOM/MTHCsow+AF/YO8sLekpNuEeC3gb9gc770XWu+g90C7cPA+4FWgFa3l9t67BDMnX3beWZ2intHL3MltFC1gdazr14+w1BzK32BJgA6vX3sbTnK2YWn1rQ9O35gixoJnp7dnNaodhhCTVdsWqrKpOQFkLRsm7p0cElR0RQte3lNUbOhJ5fjmO8MMinpEFNmW7qqoSt2ezz7Mmo2JKWioKtazVRsqgXGKg6VmcpCVpH+ZwVDNKU3WGKlUvLazlDEetqorZWa9wAc7+io+BhWMh0PVXsIDecVA0dpcftWvmBaOdNmcUcVzkpJbVAI6IHJK1wOz23ItkRlOY9ht/e1b8g2h1r8fPzmA+xq8TsXT2N/KWp4Q25ECCFEfZNMkRBCCCEqTGYRhRBbzW7gsxQIFCUMk3+9NMZXzo8wFauxEgtCbLB4TqUimRTeag4G23nz0CGa3bkVglKmyYOTV/jB+CViRmrDbu/+ySvZUFERCeAHwDexq/bMbtiN14dF4KPAnwG/h93SIufJOdLWxf5gO5859STnF2XicS3+z8lH+d3jt2UrY/X6B1EVlTPzT6667ZMzTGNamzeRbQGGZWKsshVepWiKyisHn0eXNwjAWGSe+ycu2ZVfUNFUUFFxaxpNuge/7k5XIgFFUXGpajbwlAk0ZUJLWk6Aavlt5zV+y/tcXcn8y65bajuUqYqSOZf+rSyFuMDKq5NisyxrWeDHMO3o5bVYfNlli8lsQyvyDWOzQDii1LyBUiLctdK+7axUZFYhVLSYihV8XGtJQPcSSkmXoY3k3uDWu6ORMI9NT27oNsvxL5fO8ba9h3Cpua/B/CpzzuNB/qvs0uIsd4+c3awhik2W/1z7dY1Iau3vC3Y0+/iz26+jzZPTDjgFvBkJFAkhhBBCCCGEqBIJFQkhtpqPAX6ApGlyaTHCVDTBkzPzfPfqFJMSJhJbUKGJU9GYerx+fnHvEXp9gWUTuE/NjPOdkXPMJWIbfrsdHn+xVX8L3Ad8DZjZ8BuuPzPAB4E/BX4J+FWgO7PSpWq8de8Rvnb5LAOBZlpcHkwspmNRnpieYCoWqc6o60TKNPmfTz3I7xy7FZ9uT9Z1+7bh0bw8N/s4Sav89wDO9mcbVamiHhmWScpcmjydiIY4PV/5if2N9MLe3QT05S0Zzy1cYzg8R7PLQ1v6mJYwDM7MF65iUypUZLfZgmJRIKNAqDMnf5S3bU0v3MbUDqWtIlRUheJwkVSCr195gj0tPXZFrnQ1LCf7LjjvR27QzLSsbPjOsiw0VUNPB60srOz1LRxVohznTaxsOzW79ZrFTZ27sts/3rGDu0fWVtVMFOZ8fdw/McbJuRmM9POYNEwSpknSMjFME11V0RXVfp7Tz1WmRV7CNEgYJovJRFV6QT0+fY3Hp3+Ys2xfsJUPHbk+e/6zZx/j4uJWy0pvHZfDc+xv7cqeb3bpaw4VBXSN/3Xb4fxA0RjwDuC76xmnEEKIBlPDgXwhhBBCNCYJFQkhthIv8IbMmU+cOMs9V6eqOJza4VbhQGsz+4JNdHg9+NKVa2KmyUIiyUwswXQswXA4ynhUgleNwDnJmD95JxqPV9V5655DHGjtWBYmuhya49vDZ7ga2by2Wm/YdTh/0ceAP8du5SCWuwJ8PP3jAt4EfAGgyeXmF/Ysezx5cf8Ovnb5DA9MjlZynHUnkkrxP558kN86dgv+dLAo6O7g+s7bOT13gvlkedk2Z6WiWq0iVCnOUEojPBbFKvtkjp1ltwhboVKRq0R1IaPAhHROm7K8dZpe+L/15TwfuuqsulWNWAZcDF3jYuhaVW67GE1Rub5jBwBDzV0rXFqslvN1djm0yKPXajeM2Op2c1ffAEPNQQJFXmuZMJxLUejwLrV1i6QSEihqcA9MXOZl2/Zmz6+28mFGq1vnvxzfQ6/fu7Qpu3LlZ7ArFQkhhBBL5HM8IYQQQlSYhIqEEFvJAexgEQnD5N6R2pq8qJQdTT5etb2Ho+0tDAS8BFw6errFSDksy8KwLCIpg+l4gpFQjLMLIS4vRjk1F2IksvFVTsTGSzgqa7hVaX/WyH5q+x7u6BlAy3uep2MR7hk5y8m5zQtXtrl9JE2DR6dGeH73oHPV3yKBonIlgS8CdwC/UuxCuqryhl0HONjayVcvnWF2EypONYpQKskfPnEfH7rueXR67YozHs3Hde23MBw+z+XQGZbHNnI5KxU1QpBmPZzV7swGeCyK5WrUgn8ri793KlRtKMOtKkRLvO8q3P6s+OU1rXClopWqFEHpsNJW9vTMcDZUpKsaB1v7eW5OQptbiQK8uH+Q127fhbvIa2wlj0/LPtPo1Lyac6vNZvo0lQ8f380rt/fkr/oo8NfrGJoQQohGJh/jCSGEEKLCJFQkhNhKXpA5cXExQqpK38auhhf2tvPGoW0cbGvCs8YPxTMURUFXFFrcKi1uF7uaA9ze15Fdb1kWCdNiIZFkMprgwmKYCwsRzi+EOTsfJpSSL1rWAmdZfq8mbwca0fM6+/jpnXuXPb+RVJLvj13g4amrZU04r0W/v5lXbz/AYCAIwIXFZdVffh9456bceOP6NWAWeDegAd8DnsCuZPQuoA/gUFsnXV4///vZR4gXCCYIW8I0+cSTD/K2vUc40taFkg7Xbm/aQ6u7g9PzJ4gZxdvJOScRDWuLP87O9llm/b+3ShUJRrncdmWr3BB28ftrpAwMwygY+PFpOiGl+H5jFRiD81bz16rrCBUZjudMlXaoWbOJCCPhWbYF2gB4fuduCRVtIYOBJn52aC97WlrXvI2kafD9sQsbOCpRi/KLzq3mr6CuKPzJbYe5vjOYv+oM8D/XNzIhhBANTSoVCSGEEKLCZBZRCLGV3Jw58eT0fDXHUREHg02859BOrutowVVmJZrZeIKFZIKYYaJgV7Dx6Rp+Xcev6zktTopRFAWPptDl89Dl83C4vTlnvWlZxA2TcMpgMZFkNp5kPplkOpZgMhpnKpZgLp5kLBJnNpEgkqr/qge1aDG5FO7ypVsAicawPdDMW/ccyWm/AXY1lYcmr/L9sQtE/vkDCwAAIABJREFUS1TQWK9ub4B37r8Jl7o0yT3U3J5/sRfkLxArSgG/k/7J92ngP4BjAF0+P3900538n2ceYTi8WMEh1p/PnX2GGzp6eNPQwWwbqBZ3Gzd03MGl0GlGI5cKXs/Z/qxYCGWrKBV2qUcps3DYx+V2A3mVmVbYVjwaxd/UtGx5wKUxkyhVqWj5ltUSb8EKV1Eqr52ZR5NWfsWcmLmSDRU1ubwMBNq5Gi6vRaIoXy3NiXk0jdftGOKFvdtyqniZlsW5+WuMRReXKtEoS79My8KwTFKmhYWFicVT0+MkTXlNNbrllYrKjxW978jOQoGiSeyW7VJyUgghhBBCCCFEzZBQkRBiK+nNnLgabtzP6G7tbuODR3fT6/MUbWk2HY9zZn6BcwuLjEQiTERjjEejJFeoMNCk67R53HR6PPT4fPT7fWwL+On0eOj0esqqgqQqCj5dw6drdHrd7CrjPhX6cNbE/gDfsuxvhJqWlf5A3/5JWRaGaZEyLZKWSdKwiBkmCcMkZhjEDIOIYRJJpogaBn5NYyIWZz6eImIYRFIGkWSKcMoglEwxn0g1xGRpxlw8mT3tl1BRQ2jW3bxt3xF2NQWXvfafm5vk7qvnmI4Xr7yyVi0uD80uDxPRECnL5M6+XTmBoiIe2/CBbG0jwC3APwM/mVn4rgPH+fNnH2MqtvHPeyN5fHqCs/Oz/OrhG7Lt0DRVZ3fLYbp9A1xYeJaF5GzOdZztz4qFULYKZ8jGaoAGWvEioUuvzw5qriYAEYtECoaKWlwuVKJFr2cWCCI4j+v574uUdYSKnO8Bit33rercwgQz8TDtngCKonBHz36+fOGBag+rITh3zVa3hz6fH1VRUBUFLf3bedr+YoN9tFGUpeOOVuByzsuiLAUfM9fJXD/zO2WaJE2TDq+XW7t7Cbo9OWOdT0T53JnHmU4Uf82KrSv/T0I5/19UgI/cuI9Xbu92Lv488F+BhfSPEEIIUVwNhbKFEEIIsTVIqEgIsZVkP5xrcq2vBVgt2tXs42M3HmBns79gmOjcwiL3T07x6LVpRiNr+1A8lEoRSqUYDkewu/DkatJ1enzebOCoz+ejz++j0+uh3eNZvsEyFbo/GpRVOWkjWZaVDjCRDTAlTftbyUnTJGFaJNITEwnDImGYxE2DuGESS4eZooZJLGUQTRmE078j6eBSOGUQTqZYTKU2vULTtVgie9on7c/qmgq8aegAN3X25XyrHmAsssi3rp7h4uLy1+t67Whq5cX9QzlViB6ZusrhtpwJkncC48DvYodeAJ6lcLUdsT4x7G+2fwH4GbDDAu8+cJz/e/Ix5hPxqg6u1i2mEnziyQd59fbd3Nm7Pft3p9kV5FjHbUzHxrkUOkMkZVd+yqlUZG7tIEapsEs9ihUJ1vj8/uULV7i7kdAi7d3dy5Z3eNxFg9/2dlf3OCpFZhXK2UpuNZZGik9vjCemL/OS/kMAdHiaCLp8zCclXLJezn3tFQM7eMXAjiqOprCUafKfY+f58cTlag9F1LD8TOdKh++ArvHJ2w5ztKPFuTgKvAeQFLgQQoiyWKXKmAohhBBCbAKZRRRCbCVjmRNDzYFqjmNDuVWVj964n9t725dNUE1EY3x3dIwfjk8yHd/8CeVQKkVoMcT5xdCydaoCHR4PnR4PXT4vrW43rW43bW43TS6dZpeLFpeLgK7j1bWKB4bKoSj2tJ2a+eoz4GNzAmrOiVkzfd60yFZiMiy7CpP97Wo71JRMh5pSjgpNqfSyhGESNQxihkk0ZbCjaWly1Kfr7GwKEk0liRopIkaKlLRrWDUV8Oo6PlXHrWn4dB23quHRdDyqhlvT0BUVt6biUlVcimb/VlV0VcOlKmiKiq6q6Ipqf9teVdGz375Xc7/Bj4KiKLhVddlrfzEZ5zsj5zgxPbbhdUO6vQF+bvdROr3Lj6M3dw04zw4Dn8Nu2/UfQD8QAM7TGF2SalEceCPwm8CfALR5vLz7wHH+4uRjRFJbO/xSjm9cOc9Dk2O8Y//RbNUigA5vLx3eXqZj4wyHL6A5KhUlt3ioqNHEizyfvkCBUNEKQvOF2+0G3a6SXy5ebTirWEBp1SGv2nvrVXWn5ka5tXsPft0Ogt3Ru59vDJ+o9rDqnlHDVc0sy+LS4ixfvHBC2peJFSn57c9W2Lc/dvP+/EARwE8jgSIhhBCrUYOfmQohhBCisUmoSAixlfwI+A2AnxjoYjaR5Eoowpn5MCdnF6s8tLV52bYufuv4nmVtx0YjEf7x4mUemJiqmZl704KpWJypWJzn5ktXdFcAn6bh0ezQhZpuT2BhoaDg1TQ8mopH01AV0JV0SENV7ICGsnQ68+NW7TCHHe5Q8agqbk3Do6rsbmnOuf24kcKlasuqvlSSc4JQsxds6u39xuEbc85nJiKtzI9lYWG3mzOxctrNLZ02023nzOzplGnaP5aZbS+RNA37cpaFaZnZbRiO7WTDU6aJid3KzrDMdCUoA5eq4c4+v1rObz29XFNUXIqKrmVCOnZAR1fTgR1FRVNzwzqaoqCQabsBKiqKQrYNh5pul5EJ9DiflZJVJyokYRrcN36ZH09cJrHBLZkU4MX9u7mrr5ymhQB8BDtQlDG6oQMSpXwS+1vv/xegxxfg7fuO8elTT5CQCdIVTcUifOLJB7mtZxs/Obgbj6OaWyZc5JSQUFFDiaaSBZf7AwG0lVs75ogsFn5/2ezSS4eKVhm4KPbnp5yt1G60ozakLJNnZ69yc9cQADuaOlGRZOx6zcXDtLqXgnrOAJxzn7Sw+xxbuUsc17OXZN6jLv3O3VrOfp69ji3zHtCwLK6G5/nOyOa0ixWNKb/5ZKFjqqaAYcFrd/Zya2+7c9Ui8LPAPZs1PiGEEEIIIYQQYiNIqEgIsZX8O3AKOADwxqH+7Ir/uDLBnzx5DqNO2na4VZU/vfUw17W35AQZQskk/3TxCnePjJKqk/tSiAVEDIOIsbGhiGK+8qI7sgGiTz33MFcjduhJxQ6g6KqKW9Vwq5odZtG07Hm3quHSNDyqhq7alWgy13EpdgWapdNLVWhc6eWZy7tWOVG52TL7lbK0oGpjEeV5cnqMe0bOsZDc+KpkCvCGnYc51tFXaHX2uJoWxq6S84UNH4hYjb8AuoDfB9jZHOQX917H3515CrOO/z5U0v0TI9w/McKrBndzR+9A0eN0eBNec/WqFsKV6xVOFX4+FUWhOdiCFV5qfbXSKykSWl65Eez2rQFX8f+KF2tnVkyxl3R5W1m68mpvt9Yp2M/beo95T84Mc2PnTlRFRVVUbuoc4uFrFzZmkFuUsyLY+YVp/uHcE1UcjRBrl3/UdAbk7urv4P1Hh+j2eXhudpGDbTlfZPkG8FokoyiEEGItGuttuxBCCCHqgISKhBBbSQK7Lczd2G14sn5yew/tHhf/7dFTxIza/lzvaHszn7zlCD49d3Lzu6NjfOn8JRaShb9hL8rk+I+5iUXCNEiYBhE293FVIKf1VSZ05MoGjzRHFSYtJ7jkPK85KvJkKvBklmer+CiO6zuCUGLjJU2DlJmpvGSmT9vnU5aJ4ajilH8Ze73lOJ2uBOW4nmGZRFMppmLhTQkTgb1vvuvAzQwGgoVWx4AXAYfTP98CLpJboUhUz8eAbuC9AAdaO3jz0EG+fP6kVCdZhW8On+fbw+f5iW07uaN3EJ/uAsCwDLAUhsNTVR5hdTknUBshlBJJJTEtq2C1wqaWZkLh2NKCFcIq0XDhUBHY1YqKWW04q1ibs3K247xq/T97tn5/K4dbt7Ev2EvKMvnh2GmmYgsYllWwClSmEmHmfZOabkGqpt9TZZZlHGvfIaGiDSQ5V1HPVDW//RnsCwb4jaNDXN+59N45L1A0B7wLCRQJIYRYK7VR3rkLIYQQol5IqEgIsdU8AxwF3g3cABwD9gLc2tPOH958kN988NkqDq+03z62l1dt786ZJBqPRvnL585wcm6+iiNrHNWaELWwW2ykqhRqUyAncOTKqbCkoavKUguxbHhJyYagNFXNW6/khKTs9UrO9RXsiTwlPZm3dDp3+dJvspN7zjZpmRZqhiOYs+x3OpxjFlrvCPpk1ue0dsPKaeGW/W0adjgo3c7N/r10mXqpfFaKisLPDl1XKFD0GmAP8BVgPP3zvQoPT6zMAn4du2LRzwDc0NnLVCzCd0YuVXNcdccE7hm5xD0jl/jlvddxuL0LTdGYT4YxZU6w4USNJAHdvWy5v6mJEEshspWO8qlEkmQ8jsvjWbauSS/xX/ECYSDnbS2rjFFkJOW8o3G+pzTrOG4YdPk42NrPgdY+go62WjoaLxs4sqG35dVdHGkd4Jm5qxu6XSFEbXKrGgnTYEdTKwOBIB0eP5dDc/h1F4dbu3Mu+9vX7+XO/o6V2mh/CPu9sxBCCLE2DVAhVgghhBD1RUJFQoitaBr47+nTXuDzpCdbn9/dxv5gE6fni3+zvBqe393KR288QFPet9q/OzrGZ8+er/nqSvVkq/633AKSpkkSEyrTdW5NFOzgVz1PfNaTl2zbzaG27kKrvlHpsYg1M4C3kP47B/DygSG+N3JZXkdrFDGWKtdFirTK2kpyQinW/2PvvuMju+r7/7/O9CrNqGu1q7Kr7etdr9drr7sN2AaMTTEkOICBAEmI4xQSIPxIvkm+BELLN6H3GpoDxgSwTXGMsY1xL2t7e69qqzrSaOr5/XFmpDujGdVR/zwfiJ05c8uRrHLn3vf9fJbG8chQMl4wVOQP+HOeT+YnaGgwQnmhUNFUKxWNV1JoBiFWu2VfxSoeLVROm521ZbVsDK1gpb9iTve9o6pFQkUlItfESm9tsJI/WLMVh7JxLjbET4/v4cTg8rsBxWWzj9w4kLXKX8668io8dgfJdJojA90jQaGUTlPjDeC02bErRYXbV7Ry3Y6qhoL7vKahKn/oV5jzD68D3MA3gG+W5BMUQgixfMnxkxBCCCHmmISKhBDL3TDwRqATCAPU+9wLJlTkstn46EUbubA6lHOBaSiZ5Ev7DvK7juXdckUsP5riFRlEadV4/FxW21jopb+Z67mIGYsBfwp8KTvwtnXn8XD7KcIuDzYFkUSCQ/09RFPSuW4iDjXafjS1REI0M2Gt8LdUgmpDycItT32BwJS3NTw4RHlF5ZjxoNNZdJ1CoaLcr2zu68XCQBNUyphwuwtVpTvAeeGVbAjV47aP/TpqrRlOJYgk4gRdbty2yZ/20Jn/15islkajtXnuto9uJ+j0EHb56YkPzvTTWZaWWtvEhaTRX84ftZ4/8vNf7fHz9nUX8i/PLO6CkjYUfqcLr93BYDLBYDKO22YnkU6TRhNyedhR1cBKfzkeu4OAw02ZywQ6e+PDJNIpyl0eXLbcFuKX1jaNv9/pp972YI6Zf5V5Xg7UAQeYXCZVCCGEEEIIIYRYMCRUJIQQ0AKMXCU6O7Qwqg5cXV/FB7evxePIPfH5WGcXXztwiO5YfJ5mtvTktBSR26WFAOBVjRuwK1v26UlMG62DmIskYvH5OqZt3asANoWr2BTOvZs+mkzy9Lk2Hjhzgp748DxMcXGwL8HKPDNh/au5yArdFBVNFT7G8gf8U44/RIcKh048dlvBcaBwtmecr22xUNFk5pq2hjsW+CHQKn8FO6tWsypQuCpRMp3mWKSbB88eoi06UPL921DctvkKgk43SimuqF3HT08+U/L9LAfWgPgMQhsiz+pgmDev2T7ma2pTCp/DwVBy4QeHvXYnFW4vLrsdNPgcTlrLqtgcrskJ9mVl2xY788JCViGXZ7ame5BMK/U8fw58BbB+wfsyH0IIIcTM2eT4SQghhBBzS0JFQojlrhF4EHACdA3HONQ/v3ccu2zwsYu3sKOqPCfg0h2L8ZX9h3ii69w8zk4IsRxc37CWlmDYOvTnSMuzxS4J/AFwH3BpoQW8DgeX1a5kZ1U9Pziyh93dUg2vkMXcLmq2LZVKctEiF969fn/B8fHEhwsH9HyO4m/FbbaxgaPxvrI6XTjcNpmgtDVUZGOcoNM8ctrsXN9wHmvKxrbj1FrTOTzIYx3HeL7n7KzOI43m2XOnuKJuDQCrApXYAIkWTl1aKhWVlNNm4/XNW1hfXl240pnWCzpQFHJ52BiqYX15FU2B8JSCZnZlwz71b6GHgcstzw8Bd2COlcox5wYGgZuAAeCfMQEiR+bfHcB+oBdowrQz2ww8APwDphqREEIIMXskVCSEEEKIOSahIiHEcvdhoD775NMvHCU1jxcIr6yr4B8uWI83rzrRfWfO8u2DRxhKpeZpZsuHvC0Xy93askourxvTCuKe+ZiLKLkocAPwELAlM3YSOAxcSKZqn8tu55Y1mxhOPc+Bvu55mehC5rAEPqT92dI0nCrc/szhcODMaVs28THj8NBQwXHveJWKJlDKY5WFXqnIrmy8uvECGvw5QVcS6RR7e9q5/8x+huawbeMz505zWW0LNmXDpmxcWLWax7uOzNn+lwqpVFQaHpuDaxta2V65AnteGPH0YDcNflPVaz7f3xZS6w1wZV0za4KVeB3FW0FOQwfwCeAMMATszoyvB64HNgBfA34IrAbeBrwA/JjcqkJZ7y+yn8csj48D18xw3kIIIcSUaDl8EkIIIcQck1CREGK5uzj74FDfIL850zUvk7AB/7pzI5fXVeTcXdoRHeaL+w6wu6d3Xua1PMk7c7F8BZ0ubm7eXOglSU4sHb3AeQXGy4BbgH8Dwk6bnVvXbuE/nn+Cc7HonE5woXNKqCjXEvyzGRsnpOLz+0kPmepDk7lMH+mferebdJHKQ8WoApWNYHKVtKzfwzY1v5WKVGYONqVQKMqcHq6sW58TKBpOJniw7TBPdp2clzlGEjEO9nWyPlQLwHkVqyRUNA3WMFuDv4wbV23IeT2/2o5CjQm9me8XhQ2FUmrkcfb7x6YUGo3WJsSU1pp05l+deZydhk1l95HdHiPbze5bZWoqZedmHTdGo1LZfZpRM6AtS2X3m/2csttQmcHsFkf2ZFnOYbMRcLjwOpzYlRrztRpOJbj/zB48dsdIqCiRNjem2FB4HQ48dhPkWeELEnJ5sdts1HoCNAVCeB1OOoYjPN11hmQ6RdjtZTiV5MWeDnriMzsesCvFS+rXcGlt00Rhsj6gH2gAOjFVFu8FfgpEMJWCwpiWvOXAy4Aa4AvA6QLbO5JZP3/s/0z7kxFCCCGEEEIIIZYRCRUJIZa754C1AK3lfj596Xl8Yc9R9vZG5mwCm8JBPnHxJspcuXdp3n+2jW8eOCzViYQQc0IBr2/Zgt/pyn/p3fMwHTH3+oEvYe7Y/wUQ8NgdvK55HV/Z/9z8zmyBkUpFueyWIEr2wvViNzxOqMgfCDAwVLilWSGR3l7S6XTBlmbFJBOFKyUVY7PbC45PpjqJNdwRdLjZVtFImdOD3+nO+W8L5r+1Q9mw2+w4lA2HzVTrsaPMv8pWpNqRJTCRHckEJ5QlEDKR7uFBvrjvkQmXm21PdZ0aCRV57S5WeEOcicoNAFNhDe7ZlOLC6pXzOJulIa3TvNhzmkc7DzGcSrCzavXIa16HkzevOZ/mYBinrfDvC6s6b5BXrlqfM/aSFWv4yfE97O5um9b8fHYnf7h6K8257XWtDgB3AT/BVALSgBeIMTbc/qTl8WlMuEgIIYRYPqT9mRBCCCHmmISKhBDL3QeAK4BagO1V5Xz5yvN54EwXX9t/gmMDhVtWlMp7t7VyY2Ntzh2m3bEYn997gGe7e2Z136KYhdUeQIi5sr1yBauDFdahDwLfBk7Nz4zEPPkd8E7gBwDrQ5WsKQtxuF8umGdZgxYSKgK7Gr1AHV8iQWiNJppK4LWPbcsTKi9noGPylS1TyRT93d2EqqomtXwykSAZn1qoyOUaEwY12ypS8ajS5ebCqho2V1Swpqx8ZLzaW8bV3rIp7Xuu9MajfHnfo/M9DQCORbo5NzxIpcePUopLa9fyo2NPzPe0FpXO4YH5nsKSkUinONjXxlPnjtIbN+9daz1l7KppzVlubfnkfgcVY1c2bm7ewrUr1vJo5wkeaT8+4bumS2oa2RiqwWN3UOsN5L98EPNevA0YBp5m7BsxKZUohBBCFCLtY4UQQggxxyRUJIRY7g4BFwJfBG7IDl69oorL6yr53qFTfH3/iUnd6T0VjX4P/3nZeVR73Dnjv+/o5Mv7DzKQKH6HvBBClJoCrqxrtg79CNMGS1J2y9N/kwkVAVy7ooXD/c/M43QWltxKRUsjRDMTS7FSEcBgMl4wVBSuCJNtvDXZw8OO06cnHSoa7O+fcJn83bq93oLL2ZXiQzsuwmO30xuP43M4CLvcOd/DC10qnWZ39xnuPbV3vqeS45lzp3hZg6nkUucN4bDZioa4xFhHBtp5ovNITmu70Z8nS9swi5zRzD+mhZlpLTba0kyPtDsbUxFrpKUZI63Nso3KtNY0B6tn9Hm92DOawx5t2aYKVumyfn7WVoXZz1Nnnmisr2mS6TTRVJze+BDnhiP0xodGllkdrOGi6tVUe6YUDkwB38OEex4EfJg2YhXAbmCrdeEyl5vrGtZS5fZx98n9JAuEa20oXtW4gR1VDcX2+W1MJczZvYNHCCGEWKqkUpEQQggh5piEioQQwlTheBXwMuBjwAUADpvi1nWr2BwO8r7HXiSeLs219Xesb+TWdaty2jwMJpJ89cAhHmrvKMk+xPRJgkIsR9sq6qn0+KxD70d+HJYzjbnIaAdoDpaPv/QyY7f8/ZZKRbmXy5fS1yOSiFHl9o8Zr6mpmfK2Th85TOt5503YAi2ZSHDi0MGCr4132cAXGFMBhLDbzc7qGrwO85a/3OUes4yV1iaEEUsnGUrEGUjGSKbTOXGGtNYkUiniOkU8lSKRNh/JdIqU1iTSaVLkBctyMyCj/+o06UwIJJ02IZBEOk1Sp0mn0yS0eTyUjI877/myu/sMV9W34rTZUUpxWfU6ftu+b76ntWho4NHOQ9A53zMZFXL5ZhwqGkgMc6DvLH2JuSuw47I5aApUsaOqebwwUQ/wLeB/gKeAOHALkAC+z9j2YncDTqAXcyywG9hkXeCCqga2VtTTFRukNzZMczBMKp2mNz5MpceHx170dON7gX9HjjOFEEIIIYQQQohFQ0JFQggx6j5gJ/B6TIWO1QA7qkO8ae0qvrH/xIw2XuFy8pnLzqMxmHPhnue7e/js3gOci8VmtH0hhJiOpkCIm1s25w9LuTRxnMzfQYfNhs/hYCgp3xaQ1/5MKpPkVN5Pl7iy43zqjRcOBZSHQrjdbmJTOG4bHhrisft+hdvjgWyllEzAyGazkUomGYpEGOjpyalYkmOcVFGgzAQJarxe6n0+gk5XTni9kKFknLND/ZyM9HA80sPZoX7Sco1/0oZTSfb0tLGt0lRiWR+ql1DRItcSGDdQ9F5MNR87JnSbyHxsB+7PLrSrppVdNa10DQ9wz6nn6IvPTiGeOm8568vrqfWWU+0JYlMFA4uPAIOYtqYfZuyx3TfH2cWg5XEKyB4orgHuBdaCOT6o8wap8wbNq3bwOwu3Y8z4FPDJ8RYQQgghxCQsnsKjQgghhFgiJFQkhBC50pi2L3cD3wDeAPD6lnq+feDktNugva65ntu3tOS0m4ilUnz38FHuPXVGLuEIIebNq5s2FhquAGaWpBSL3T9gLqACcNumHXxi92PzOJ2Fw5YTopFQkbVS0ZIKFcUKh4qUUqxcuZLDhw9PbXudXaWYVg4biqqAnytaWvBPECQ60NfBQCLGiUgPZ4b66IsPl3w+y80z506NhIrcdieV7gDnYpF5npWYrud6TrCuvJ4ab8FqP9+icF2l3wA/JPOeMavKE2R7RRMPtJW2bZ9T2bmibj2bwyvHW+xnwAeB50u6c+Mw8ErMe+V1EywbB7oy/0Yy63xwFuYkhBBCLD8T3EAghBBCCFFqEioSQojCBoE/AW4C3GUuJ+vK/eztndqFgoDDwX9euoV15X6U5Q3f4f4BPr1nH6eH5q40vhBC5FsdDFPtGdveB3hxruciFpzvY4JFmwBqvX6pVpRhs9wWKpVdyDm+SS2hr0c0lWAolcBnd455rampacqhopmyXjawAy2BIA6bjZaWFoJFWpu1Dw3wYu9Znuw8SVICcCV3ZqifvniUcpcXgI2hFTzcfmCeZyWmK601dxx9lAZfmNc07civ/rOKwqGiN5EXKMoqdTvIoNPDjasuoNIztt0hcA74KfBp4NmS7nisQ8BGwAtcAbwV2Ao8DTwJtAEdwOPkVjwSQgghRKnYJFQkhBBCiLkloSIhhCiuF3NS9mKAy+sqpxQqevnKat67bS0uu7VNiubO4ye489iJaVc9EkKIUvDYHdzcvKXQS1/FtPQQ4jdkQkWABIoyrNVgpFJRXqWiJdYOrjMaoSkQHjPe3NyMy+WC+Nz9qrRWu7TZRqNtq1evHhnXWhNJxumLR2mPDvDLU9KOa7adjPRSXmFCRav8lfM8G1EKp4d6+Nze+3hjyy6qR6sW/TPmZhMrBXyh0DaGUwle6DlZsjlVuAO8pnEHfmdOgPBp4MuY8M5zmIq7cyWNCQz9IvMhhBBCiDmkpVKREEIIIeaYhIqEEGJ895AJFf1R60qe7urlqa6+cVfw2Gx8ctdmtlaW5dy9f2pwiM/s2cfhAWmLsJBpCXuJZWJH1QrKxla3GADeMw/TEQtTzi/ELeEqXugpfQunxcZ6U2ipK1EsRtaQlV5ClYoAOoYHCoaKHA4H69at44lnnyPgdKC1Jo2pdJL/FdBoMv9D6+wPlVlOA+N+yZSpehl2Oyl3uca87PF4aGpuoi8epS82TF8iSjIT7Do9OP7xqiiNE4M9bKmoByDk8s3zbEQpPdZ5mFc1bs8+vRG4EFOJx6oHCFoHHmzbx6H+dgaTsZLMo8EX5oZV5+POrZr2cUw1QQmBCyGEEEIIIYQQYtZJqEgIIcb3WeBdwEqHTfGxizfxwSf28VjUFP5bAAAgAElEQVRHT8GFr6yr4B93rMdjt4+MpbXm7pOn+f6RY8SX2B38QojFy0bBO9vejQkWTda1wE7gDmBuewGJufBF4G1AAOCNazbxuRef4mx0eXczUTmVipZWiGamlloVxq7hQYZTCTwFWqBt27aNPXv20OywF1hzatJaQyaQlNKjbfWcSmG32cYun04zmIyzYvM69vR1FPw+bBvqn/G8xMRORkbfE9iVjTKHh/7k8DzOSJTK0Ugn7dE+ar3l2aF/AW6wLKKBDwFfyQ7899HHaI+WLtC3whfmpsYLcNhGfs+kMS26v1aynQghhBBi8Rn7FkFMkVKqAtPG9lpMK9cVgBPT8vYMcD/wP1rr309z+1swbWKvAloxQfR+4ACmKvQ3tdYz7p2slLoEeDNwGdAM+DDdF/YAv87s5/RM9yOEEELI4YcQQoyvG3gdEAVw2+189KKNXFWf297AAXzi4s38686NOYGi9miUf35mN986dEQCRQuYFA0Wy43bZue6lWsLvXTnFDazDrgX+DDwDLAN8+swhPxYLRUvAtdgTnzhsTt4x/ptVLm98zureWYN5C339mcq70d9KVZuOpVX8Wc4ZdoA+v1+tm7dWpJ92JTCZrNht9lw2W147HY8dvuYQFFaayKJGKeG+kj73NS1thQMFEVTCbpiyzv8N1fOxYYYTMQBEzjcGG6Y5xmJUnq8Mycv/UoyFWwtfmx9sjlUuv/+QaeHG1adbw0URYGbkUCREEIIIWxqfj6WAKVUWCn1aUxw6IuY46u1gB9wAQ2Ym+feDzyilLpXKVXwBFqR7Vcrpb4PPA/8XWZbYcz5sgpgF/ABYK9S6stKqcA0P4/VSqlfAo8Af445J1eOCUZVY8JM/wocVkp9RCk19k4ZIYQQYgokVCSEEBN7Ang5meodDpuNf9qxnk1hU+l+Z1U5d79yF7tqwznVC351+gx/+/jT7OmV9hNCiIXDZbPzjvUXFnrpl8BUyitcC2SvdAWBZzF3Q/UAe4GWGUxTLBxPAreQadIUcnu4ffOFNPrL5ndW88jyp15CRXnnlZdapSKA45HunOBOe3SA/vgwqXSabdvPpzwUQmtd9GOmtNYk0yn648OcGuylOzaE0+nk4qsux24vXCXp2ED3jPcrJu/k4Gi1oqZA1TzORJTasUgXbbmVh/4lb5FuYGQBSwBoxq6p32StkjaMeT/6k5LtQAghhBCLl1Lz87HIKaV2YcI+twPuzPBuzDHeWzGVi94PPGRZ7eXAY0qp8yax/Q3AU8AbM0NDwH9hqoK/HvgL4C5MC1sbpjvCY0qp+il+HpdjztVclxnqxQSk3pX5HP4aU6Uonfk8PwD873QDTEIIIQRI+zMhhJisB4GXYi66h502G3+9ZTXt0RhX1VfmhInODcf4/L4DPNdduEWaEELMpXKXh5saN9ASDKNQOAq00sm4HlNhKP8qeBCIFBgvdELFn/l3PfAdTPllsfjdgzkJ9kUAv9PJuzZs41MvPElXLDq/M5sH1uo8SzFEMxW2vHtU0kuwKmM8neLEYA/NgYqRscP9XSOP6y/cwv57fkk8Hh93OwpTkSj7HaQwlW3MIaTClhm3ZVueaUjoNNFkPOeXr8Ph4NKXXE2wvHzMPsBUKToRkWPQuXQy0sOGUC0AFW7/BEuLxebxzsPc1HhB9un1wFswF4eybge+DbCurI4nu47QPcNKYXXe8vyA2p9i3o8KIYQQQohpUEpdBvwK0x4M4Ajwx1rr3xZY/ONKqZcB3wVqMJWGfq2U2qK17iqwPEqpOkyQZ2Vm6PfAH2qtT+Yt+jml1Gbgh8BGYBPwS6XULq310CQ+j03A3UD2Tq+fAm/TWue/CfyUUuoK4AeY1m5XAD9WSr1c62V+d5QQQohpkUpFQggxeU8Ar80+2RgOcvWKqpxA0W/PtvOex5+SQNEitrwvD4ulxudw8o51O1hXXoXTZh8vUARwlLE/An+KqTz0PKaMslX+iZF8l2JOXIil4UuYikUJAK/DyTs3nE/Y5ZnfWc0D6/2ZaZb3uThb3t2qiSV6bvJQfxfxdKrga8GyMi6/9qW43e6Cr2dpTAgtpdMkdZqEThNPp4ilUsRSSaKpBEOpBJFknL74MH2JYYbyAkWBYICrXn4dVbU1RfdzoK+DtBzNzKnjlkpFDmXH53DN42xEqR2PdHF6MKf615eAVsvz72EqNKKUYkt41Yz3uaas1vr0YXJDTEIIIYRY7qT92ZQopRyYtrXZQNFDwLYigSIAtNb3YSoBJTJDtcD7xtnNVxkNFL0IXFcgUJTd9ovAyzAt2MDctPfxSX4e32U0UHQ/cHOBQFF2Pw9hQvGRzNC1wHsm2o8QQghRiISKhBBian4LfD9/sC8e5+O7X+Qze/czmEzOw7SEECJXmdPNn6zfSdjtnewqtxUYex+mxdlm4J15r/3c+uSnx/fyg8O789dvmOzOxaLwA0yFBgCqPF7esnYzHvvSL35qA6rcXtaWhU0Vmaxlnt1Q5J5YTi3RUFEinWJ/X3vR18OVFbzkhldQVVM9K/u3KRtrN23kJa96JaGKcNHl2qL9nBnqn5U5iOI6oxGiSXOtQSnF5tDKCdYQi82vz7zAcCp7PQkv8FlGz6elgP/IvritopEGX/Gf08mo8eS0GP0Ry/6vjRBCCCFyqHn6WKS01klMW7BHgcPA67TWkfHXAq31c8B/W4b+sNBySqnrgBssQ2+baPta6zOYipdZf6aUWj/BlP4YOD/zOAbcmvncxtvPC8A/WYb+USlVUWx5IYQQopilfwVACCFK70+B1zHae5m/f/IZOodj8zcjIYSwcCobb249n0qPzzr8ZUzFoc8UWe3bmNLL1lLOqy2PPwn8P8yFLQX8ZfaFRDrFE12nsaFIptPWikgTlm4Wi84dQAvwbwCNgXL+esuFfOPAbtqjC/8/tw0IuTxUuL2E3G5CLjdBp5ug04Xf6cRrd+CxO3DZ7aa6l1LYlMqpSmhlH7/615KX/3VZylXUTw32Ue0JUucNFnzdF/Bz5fXXcvLIMfY9/wID/TMP95SVl7OyuYnmta14feMHRAeTcXZ3n53xPsXUaeBEpJv1mRZoLcFqnug6Mr+TEiU1kBjmgbN7ePnKbdmh64FPYy4EaUzo9hNkqjq+rnknPz/xDEcjndPaX5Un5/fMi9OcthBCCCGWKL2IqwbNF631g8AlSinHREGcPI8Db8o8blRKlWmt89/s/b3l8b1a6ycnue27MMd6mzE39P0d8K5CCyrz5vv9lqGva61PT3I/XwA+AFRhqhy9G/jwJNcVQgghAAkVCSHEdAwArwHuIXOfxkvq67jj6PF5nZQQYulSwC1rtrKuvAq7sjGQiPFw23Ee6TgxZtk6b4AbGzdQ78u5IPV/MCWb/32c3VRh7tz6wjjLbMW0+PhPzB1SmfmZE1rlLo81UKQxd4CJpedjwDrg7QBVHh/v3bqLr+/fzZ7ervHXnKY6r593b7wAt93OcCrJYMK0iRpKJkmlTZBFKbArGy673YSDHA68dgdOmw27smHPBGCKBYSmw1K5YlnK/0oml3gtjd3dZ/DXNBN0Fm51ppSicU0LjWta6Ok6R/uZs/T19DA0OEgqadqnaa1HPkCTTqdRSuF0ufF4PQTLywlVhKmurcXr9xXcT75oKsETnSeWbKWoxeB4pGckVFTh9s/zbMRsONjfzvqBTlqCIxXJbgP2AJ/HvD9sx9Iq9lWN2/nMnl9NeT9euwuP3Wkdenq6cxZCCCHEEiWhommbYqAIRtufZQWBkVCRUmoVcLXl9R9OYS5aKXUnJlQE8AdKqdu11sMFFr+M3Bv/prKfqFLqHuDWzNCtSKhICCHEFEmoSAghpucXmLtR3wfwipUruOv4SeJpuZgjhCi9Om+QjaGakedBp5tXrFrHK1at4zMv/p6O4UEAGnxlvGP9Dpw2u3X1X2HKI7/OOpjSaU4N9tMUCFmHzyfXzcCdluffxISFtmcHhlNJfnjkeQCqcysjnQAKnQgRi5/GtMN7u3Xwj9dv5ZO7H6MtOljyHd7Y2IrfaS6yBmwuAk4Xtcz9hfu0ThNPJYmlExwbaKNruG/O57CQ5Ae00kv8OCil0zzReYKLahoJOAoHi7LCVZWEqypnfU6DyThPdJ4guswDbvPtRKRn5LFD2XHZHMTT0hJ5qfnl6d28pulC6rwj2aEPYSo9RoCvYN4fjtgcauDF3sneQG44xlbA8wFXAh8H1gIPAx8B7p3i9IUQQgghxNRttDzWQE/e6y8n936bqabKf4m5ERBMFaHLgfsKLPcKy+MhzDHhVPeTDRWtU0q1aq0PTXEbQgghljEJFQkhxPR9BPhzIBBwOtlRWcHvO2enQoOYO5olXmZBLEo+h7Poa7dvvoRfnz7Ewb5z7KpZlR8oArjO+mQgEePnJ/ZzoK+LpE5zaU0jr1i1LvvyOzGhybuK7C4ndHRqsI/vHX6OgUQcgEpPTshj3wSflljc0pjy3Cnr4OtbNvD5vU+T1qX9Xeqxl/ZtS1pr4ukEsZTlIx0nlkoSS8Uzz/NfT5CQkEAOlVerKMnSDhUBxNJJHus4zoVVqyh3jd+SbLZ1Dkd4rvs0iSUe5loMOocHSaZTOGx2lFKsDlazr0/a0S01iXSKn594hltbL8dl/i5VAO8F/gn4Lnmhostq1005VDSQGGYgMUzQ6ckO/R5YaVnkckzF3M8x2n5NCCGEEMtJCavviuKUUnbgtZahF7XW+X3fL7U87p1CS7KsPXnPL6NwqMi6n4Na66neVVJoPxIqEkIIMWkSKhJCiOnrw1x4fwvAVfW1EioSQpScDcXLGtaMu8y1Da1c29A64bYO9Z/jjiPPM5waDUY8c+4sl9U2UubymN2Z9mc/xbT1+H/FtvV45ynuPXmApKXdjj83/DTVEyli8Ulj3k/8GLgJoDlYzvUNLdx76kiJd5R7zfSF7mN4HS6cNgc2ywnVlE6TTKdJZAJB0WxAaCQkZJ5LBZHSyA8VLRfxdIpHO4+zobyGpkDFnO8/qdMc6OvgeCT/JlkxXzSa9miEBr+pYLPKXymhokUq4HBT5w3RHY/QHRtbeS+aivN8z0l2VLVkh94PfA1ToTGH2148FD6exzsP89IV2S4YOYEiq9uAx4D/mtZOhBBCCLF4jSlsKGbJn5J7LPadAstssDw+ONUdaK17lVJdQFVmaH2RRa37OTDV/TB2bsX2I4QQQhQkoSIhhJiZ75AJFW0sL59gUSGEmLptlXWs9Of8fnmR0X7rk9IejfBox0me6jo95nb2aCrBfx16lts27coO1QJPA1vzt9M1PEgkEefRjpO82Nsx0W6XZ9pg+UkBrwa+TqYd2ksbmhlOpfjN2eMl24m18tHBvtM80bW/ZNsW02dtf6ZLXJ1qoUtrzZ7edtqjA2wK103YDq0UkjrNyUgPhwfOkUinJl5BzBm/w0WlpQWofw6+H0RpNQWquLCqhRW+8MjYYDLGb87s4WikM2fZJ7qOsL68noCpJuQGPoi56JTfNnZa9vSepsodYFtl05jXOqL91HjLsk//DVMhScqVCSGEEMvJPFUqUkp5AM+EC07dsNZ6eBa2O21KqfXAxyxDp4HPFljUesDWWeD1yehkNFTUXGAubqBuJvvRWg8qpaJAttzumP0IIYQQ45FQkRBCzMwT2Qd+p4OQy0VvPD6f8xEztbyuiYpFYEu4Nn+oDHM3fGPm+aeBlwGbCq0fT6d4qO0Yz3W3Fd1HWzTC3t5ONoaqs0MjgaLeWJSfntjHwf5zE851IBGzPm2ecAWxlPwlphz3eoAbGtcQcDr52YnSVNN2W9r6JbWEKRYKSQ7CudgQD7Udod5bxqpAiAq3v6RfF42mOxbl7FAfZ4f6c6rDifmhgCpPgJX+ECv95TT4Q1S4fTnLLMVqaDalqPOGWOELoTXs7jmxZMJtfoebV606H5uyjR1v3M7JyDl+dvIZUpmfv0Q6xVNdR7mqfmN20bdjgkUPWtd/vPPwtOf0YPt+zkR7ubh6DQGHh67YAA+17SeaivO2tVdmF2sA1gKStBVCCCHEXPh7TNvXUvsX4J9nYbvTopSqAn4OBDJDKeAtWuuxZSzBehdgfmu0ybKuV1bg9fyxmewnGyoqtB8hhBCiKAkVCSHEzPQAZ4AVANsqwvy2rX1+ZySEWFKS6TEXkFd9//Du3bes2ZoNFdmB84APYE7C5BzfuWx2Xt20kb29ncTHufj3i1MHaPCVUeYara4QScS5++R+Qi4PF1ev5Fikl/ZopOg2OodzzmtswxTllivgy0MEuBa4H2gFuKq+EbfdwZ1H9804rxlwukYeDyVj4ywp5pKapztkF6Kz0X7ORvtx2x3UeYOE3T6CTjdeuxO7mlx/Ao0mmkoymIgxkIjRHRuiJza05INE5S4P16/cSDQZ596Texfc5+u2OVjhL2OlP0SDL0SDvxy3vfiplEQ6yW/O7J3DGc4Oh7JR5w3R4A+zwhemzluOwxLw9DpcPNy+NLIsiXRq3HaOqwKVvGv9NRzqbyORTuG02WkJ1lgXcWICPjmtKOLpJBVuP7uqW1nhC7O/7ywPTeFrdqi/nUP95r2lQ9nZHG5gW0Vj/mIL6q5+IYQQQswBm7wPmy1KqRDwSzLnNTJu01r/psgq1spN0Wnu1rpeoUpQ+WOztR8hhBCiKAkVCSHEzN0NvAvgDS2NPNbZxXBqady1uyzJ+3KxwDxw9iit5ZW4LBfyblmz1dqa7E8wd4p9GPgBpv3GZkyloE0ATpudlf5yjgx0F91PdyzKZ/c8yq6alaz0l5uL4Q4nb2o9P2e5wWSc7uEo/YkYvfEoZ4cGODXYz7nYEGeG+klrjc0EDSqAq4BiJ17E0nMSuBy4B7gAYFfNCsJuD1/b/1xOC7Op8jhG37YMJeX66UIx3kX45SqWSnI80sPxSM/ImEJhzwSwlDJftZF/M1/DRDq14MI0c+Wmxi2sCpiWU2eG+nmq6+S8zifk8o5UIVrpD1HtCUwqQJfWmnPDA/z85LNE04uvcqlT2anzhWjwhWnwh6n1lo8biFsdrF4yoaJ4OsnZaK+19dk9wH8D38wOOG12NoYaim3iLLAPeI91sNpTxiXVa7HbzNfx/MomGnxhXug9xb7es5OuvOexO3lt04VUeYL5L90PlK7XqBBCCCEWBwkVzQqlVCXwCzLnMzL+P631l8ZZLYFph4vl36myrlfoLqrEOMuXcj9CCCFEURIqEkKImftP4B2Arc7r5V3rW/nMnqVxgn05kgukYqE5Gx3gy/ue4IraJqo8fnriUX7ffoI3rtlK0OkGc3f8X2DKRR8G3mdZ/bfAlQArfMFxQ0UA0VSCB84e5fLaJl7asKbgxUS/w4U/4BozfnZogF+fPsTRgR7WlFVkh/8WCRUtN+3ASzGlwi8DWF9ewT+cfylf2vcs7dFC1cInZg3VDSYkVLRQyF/MydFoktlQnbRZzdFaVjUSKALYFKqd01CRXdmo9wVp8IVGgkR+58Tn6LXWJHWa3tggp4d6ONDXRvtw3xzMuHScyj5ShajBX0GNJzim/VcBUTItE8pdPsqcXvoT071RemE5ETlnDRW9ErgBuAP4KvCmIqsNA98HPoJpffER64vry+vHrFDtLeMa7yauqd/E9w//nq7YwLjzctkcvKZpR6FA0QHg1nFXFkIIIcSSpOevYuxHMefBS23e3+QrpeqBX2Nu0sv6gNb6oxOsGmE0rOOf5u6t6xUqD54/Nlv7EUIIIYqSUJEQQszcHkyFkH8EuKqulq7hGN8/cmxeJyWEWDraoxF+dOzFnLFg7kXPfwa+AHTkrXoYS6hoIl67kze0bGZteVX+S89hLoWfP3Yto94X5Na12/OH10+4U7EU9QLXAYeAeoAyl5u/2bKTX5w6wm/PnphSrsJGbnhF2p8tHJKPETOhgKvrW3PGqjwBFLP3veV3uDLhIdPGrN5bNlJFZjxaa6KpOF3DAxyLdHGgt21RViPKKnf5eEPzRXgdY0PCeSLA7zAh5d8CTwLPA+sAGvxh+nuXRqjo8EA7u2pGvh+zJYSGgTdj3ue9EmjEnEdLAkeAH2Ha0N6CORabkpubd3LnsSeKBotsKF65ahvVnjLr8B7MHfT/B5heUlcIIYQQi9vkuiuXnNZ6mAUQACo1pdQq4H+BtZmhNKbl2RcnsfopoDLzuHK8BcdhXW/MHRZa64hSqg8TYp/WfpRSXjI3BxTbjxBCCDEeCRUJIURpfAi4GrgC4ObmRvrjCe4+dXpeJyWEWLqODfTQHAxbh76DCXJkKeCm7BPHBBdNK9xebm3dTqXHZx0+CbwFcyERTEuzrZiLaisxoaGLgA1FNvtikXGx9A1hLjpnq/nhsNl4VWMrm8NV3HF4L12xyV2IrvX6c1oPDUr7swVDKhWJmVhTVkWNNzfw6nU4qfEGaY+OX71lPJVuP02BME2BMM3BSrwOJ/t626n1Bgm7fRNvAEil0/QnopyN9nKor53jg13Tns9C1OivLBYo6gMeAh7E/O1/GhOgsbqfTKhopa+Cvb1nZnGmcyevRWd+ru0o8LkCq12E+Tp5xtn0UeBC4CWYqkYj5+FcdlOF6H9OPEXn8Njv+W2Vjazy51wz+gTw/gLzE0IIIYQQ06CUasEc3zZnhmLAm7TWd05yEweBbZnHa8dbsMj+A0Bt3vaK7efC6e4HWEPuW/hi+xFCCCEKklCREEKURgK4EXgE2ARwa+tq9vf1c2hg+hdFxNyTC6Risbj75H5u27TLOnQt8EngvZiLTddhuXvpYN+5otta4QvyltbtBJw5Fxh/ggmDWHumdQMPFNjE+cAXgYstYxEyFdzEshUB3gncBXyFTNWilmCI95x3Eb84dYSH20/lX8gdo8E/GjqIpxIkdWqcpcVc0nJdW8xAsYBPYyA8pVBRhduXCRFV0BgIEyjQvmxDqLbAmobWmng6ybnhCCcHz7G/7yx9S6SlVzHdsTHdDt4H3AfsZrRKTzH3A38GsNJfMcGii4PP4eLi6jXWocl+A/w54weKAG7DHD/9CHgcuAQowxw32bwOFzc3X8STXUd49tyJnL9xrcGc79sfAH+PBIqEEEIIMX/tz5YUpdQ6TIWilZmhXuDVWusHp7CZR4HXZx5XKqVqtNb5VcTHk3+T3iPj7CcbKlqnlLJrPaWTI5PdjxBCCFGQhIqEEKJ0+oCXY+7ubbLbFLdtXMd7Hn9KzvwKIUquLRrhMy/+nts3X2Id/ltMW5JvAX+THYwkYjzRVbhy2ppgBbes2YrbnnNY+EHg35j8hatngWswF7teimm79lFg7yTXF0vb3cAW4NPAmwBcdjs3Na3lwup67jq2n6MDfUVXrvH6Rx5LlaKFRY5vxEz0FqlWtsof4onOE0XXC7u8IwGipmBFfjvQCaV1mkgiRsdwP0f6Ozjc306S9JS2sdi1RftI6TR2NVLF8LfAM5Nc/YHsg4DTQ8jlozc+NK15uG0OfA4XaaBvmtuYCbuysaOqhe0VTbhyj4MenewmJrHMvwAvYKo/nsh8gLlo9T3A4bTZuaRmLRvKV/CT408Ryfyt8+RWk/ovWGbfqEIIIYQozCahoplSSm3GBIqyKe5TwMu11lOtuP3rvOfXYSqJT9bLLI9jmIqhxfbzF5nHQUxQ/eFp7ucM5vhUCCGEmDQJFQkhRGlZWwWpVQE/rWVBDvZLtaKFzHpRVMndPmIR6Rge5OO7H+Qtrdup941Uc/k8psrA+uzAYDKBy2Ynns69iWl1MMybWrfhtI1cE0sBb8dcuJqqKPBPmQ8h8nUDbwZ+jKnOUA2wwhfgtk07eLLzLHefPMxAIj5mxSq3d+SxhIqEmF0eu4NEOkVqggpipXAuNlhwfKU/lPM85PLSFAibEFGggjLXRIVhCnvm3DEO9rXRPtw/rfWXkpRO0x7tY4VvpI3qVZgqOpPRiQkwnwemWlE2VOS02fHaXfgcrtF/M4+91jG7C4/DaQ018WLPKe4/u6dUn+KE/A43NzZup9pTlv9SL5Zg9gS+hgnLjvcGYifwJKYtRptl/IeYm1K+Q+ZvYtjt56r6Ddx98lkAAo6cwJx1XSGEEEIsZxIqmhGl1HbgV0BVZugF4BVa61NT3ZbWerdSauTYGFO1aCqhotdaHv+P1rrYHVe/AM4xWpH89UwyVKSUcgCvsgx9R+s5eMMnhBBiSZFQkRBClN5DwFNkSpLWeb0SKhJCFLTCF2RrRR2Vbh+dw4P0xoep9vip8fqp9vjpiw/zrYPPMJxKFt3GQCLOdw89y+2bL8lWG/KRFwqq9Qa4bdPFfPvgs5yLmQt/9d4gf7QmJ1A0CNwM/HIWPlUhsn6MufPu3zCt0QC4sLqezeFqfnHqMI+0n84JewaczpHH0eTY0JGYPzZpGrroeewOdtU0s8JXRrUniN/pIpKI8a2Dj9MXn90QX08sSjKdxmGz5YwHnG4urm6i2hugKRCm3OUtsoUcLwC/wVTL25QdjCbjHI108nDbfmLp4n9Ll6PTgz3WUNGVwCemsPr9ZC6c7Kpu5cKqFrx2Fw7bZAr3FLYp1MDv2g/MyX+nTaEGLq9dh9vutA53A58Bvoq5U30yHsBc0HkfporQfsyxVDBvuRrgckwLNKtfYVpRfIzM38TVwRpqPGV0Dvfn3+xQN8k5CSGEEEKIIpRSF2MCOtk7GR7EtDzrncFmPwF8O/P4JqXUNq31c5OYy1XARZahjxdbVmsdV0p9Cvi/maF3KaU+qrWeTPD8TUBD5vEwpoq0EEIIMSUSKhJCiNkxchXGJpVvFhX5ryVmi1PZuLq+ha0VdaTRBJ1ua6CHDeYm9RxBp5u/3nIpH3/uIdLjNBoaSMS569geXtu8Kb+N2YgKt4/bN+/igTNHeaDtKK9v2WxddgjTvnEqpZOFmK4u4F2YCg+fB7YDeB0OXtu8np3VK/if4wdGWqJZv6cTEgpYUGzKNvFCYkG7YdVm1odqcqs37D8AACAASURBVMYCTjebw/U80n50VvdtU4r+xDAVbt+Y117asG6i1fdgQkQPZB5vAa6G0T+mh/vbuefUhOfyl63TQz3sHH16BaaVV6rY8nnuB/4KwJvbomvalFLU+UIcj3SVZHuFeOxOrms4j6ZAVf5LXwX+DlM5aKp+nPnI+hCm/av1C9OG+ZoV0g38KbCDzN/Da+o3ccfRRzk+0MXqspGfz1uAe6YxPyGEEEIsNXLyclqUUldg2rNnA+B3Am/SWsdmuOnvAn+JucFYAd9USl2utS5cmtXMJQh8yboNrfVTE+znPzBB9EbMDYXfVErdoLUuegyvlFpJbljp37XWpyfYjxBCCDGGhIqEEKL0Apjy9gB0x2b6vkTMLXlnLkqv1hvgltVbqfSMvXA6Eb/DxZqyCg72nyv4us/u5C1rz2elv5xIIs6JyDlaguExlR8A7MrGSxvWkEZT4w1YX/oDJFAk5t6jmLYwfwZ8GCgHWOkPctumHezrPce9J4/gso+G7+ISKlpQ0jo931MQMxRyF64CVOX2l3Q/ZU4PNd4Atd4gNd4gNZ4AYbdvKuH7fYyGiB4DdmFCRB/CVHoZIyXfn+NqG+olrdPZcGA55v3L05Nc/X5M2+dVBV7TmPBoB6ZVWkfm4xxQi/nvtTHzOEelOzBroaKg08NrGncQyv3e7seEib4K46S3J28N8AbgCKPfl4PAZZjwUL6rMIGinUBrdrDGayqH7es7aw0VvR64HdOeTQghhBDLmJb2Z1OmlLoW+AkmjAOmRdlbtZ75mwatdVop9WbM+5Ry4Hzgl0qpW7TWJwvMZRVwB7A+M3QEc5w30X4imf3chwmwXw/cqZT6Y631mGNNpdQWTMvd7AHlY4xWOhJCCCGmREJFQghRev9I5o6HoWSSg/398zwdMSGNZIlmgctmZ115FRtD1diV4henDtI7y61UFqLWsgpuWb0tJxiR5xzmTX4YU2GhEcuFJYBb126nPRrhWwefYSBhgooKuLKumctqm/A6TPuOgNPFgb4u7jtziD/ZsBP7aBWRTkwFggqAS2sbrZtvw9ypJcR8SAGfw7SE+Thwa/aFDaFKNoQqcxaWSkULSyLvhshKt2+kxaIonZDLy/mVDdR6g1R7AiTSKe46vpuOaGTG2+6JDVHrze/UBBXTCMECKBRVHh+13jJqvcGRj+zfqQncBVwH+IEDjIaIHsD8rQKwAY9jqrqMK5mWUNF4EjpFR7SfOl+28wNXMflQUQS4FHgZEGU0ONSJOa5JYc43nZ/Z7pWYtgvhQhsD0FrTNTw7LaODTg83N+8k6MwJ0f0MeDdQqju1twK/w9xgYuXHVOb7K2B3ZsyBaZPx18U2Zlc2jkY6iCbj2WpQHuDVwLdKNF8hhBBCLFZSFX9KlFJezHsN65ucNwNvVlP/Wv6B1vqH+YNa6/1KqVcCP8cc814G7FNK3Yk5RuzEhHsuxbTLzc7lGHCt1rpnMjvXWj+klHoj8D1Gjw8PK6V+ADyJCaDXY9pC3wBk34g9A9ygtZae8kIIIaZFQkVCCFFaYSwnh+89dYbhlFzQWEzkbfnMuG121oeq2RyqYW15ZU57r+FUip8c3zOPs5t7FW4vb1y91Roo0sCngCeAlZg39feRe3f8T8gLFYGpdnRdQyt3HnsRgGvqV3PNitVj9rm2vJJHO0/ycNtxrqpvyQ4fBz4LfBNM4MsijDnJkJjWJylEabQDbwW+AnwUcwJuDI+9NG12RGkMJoaJJmN4HW6UUrxl7U4+/cJDpJFjn1L6w9XbqfTkVg7aVd3MT0+8MONt54XADpH5+1M5iUpFXruTGm+AGkt4qFBAaQJxTBWiB4EPYAKwLsxJ90LcTCJQBLAp3MDevtOcGZLCLoU0+MLYc6saXoVpqTBZp8gcV2S4MC0f/jizrcsYbS1RkNaac7EIpwe7Odjfztlo6f9bOZSdG1ddkB8o+gfgI5SmOlHWxxkbKMq6GlOd7y8wX7M7gNeNtzENpLXm8EAHW8Irs8MvQ0JFQgghhBBTVYsJepdC0e1orR9RSl2AaWt2HSY49JbMx5jFge8DtxeqMjQerfVdSqlLgC9jKl6GMBWgC0kCXwDer7WOTmU/QgghhJWEioQQorTWYk6oM5xKceexE/M8HTE5llJFkiqaMo/dwYbyajaHa2gtqyzYdgugzOme45nNL7tS3LJ6K277yOFWBNMS4xcTrPo05k6jMbZW1PH7jhOcGRqgqkgViYpMK5uTg33W4QZgZKA/HqPM5c6GvtzAFZhWJkLMt4cx34+vAP4V2A6mjZFd2TivogW/w8PB/tOcGSrcElDMHY3mue4j7KrZCIDP4eKt63byjQOP5Sx3Y+Nm1pfX0J8Ypj06QNvQAIf7u+iKDU5pf3XeINurVmJXNpLpNKcGe3mx5+xIKmB7ZQNNgQo0mpTWHO7vYm9v+8j69b4yrm1Yj8fuIJZKsb+vnUc7jufsQ6G4pKaJSo+fwWScSCLOgb4OeuPzd/416PSMGctrYTlt3cM5/w1GAhZuu4OA000kEUMBIZePWkv7slpvkDLX2HlN4CTwnOXjeUyQaSolyKKYEFLBlmf5WgI1Eiqy8DvcbAytYGOogZBrzHFE2RQ35wMuZrQS0S6gcD+9jLTWdA73c3qohzODPZwZ6iE2yxXodtW0UunJ+Xm5HRO0LiUbcHn2SX88isNmx2N3ZNvLgfnafC3zMaHXNV3IY52HaY/2WUNFO0s4ZyGEEEIsVtL+bKoiQAxz/mumxm1JoLU+BlyvlNqFqdR5ObAac+w8ABwEfgt8W2s97btEtNbPKqUuxoTO34g5Fm/EVC/qBfYC/5vZz9Hp7kcIIYTIklCREEKUVlf2gcduJ6VLefOrmC3W/0rytnxyvHYnG0MmSLQ6WFE0SKS1JltK2L7MTnq8dMUa6nw5N+i/jYkDRQD/Dvwdo3f3P0WmKoNNKa5vWMs3Dj5NXonmkWWqPH6ua2jlvIo66+sHMSdQALDbbJwZGqApMNLypBUJFYmFQwP3YH5ebgY+ZFe2DkzYiNVl9awuq2cgEeVQ/2nODnXTHetHodhWsRqbstEdG+BcrJ/eWIR0SQtRiHx7e09Q6w3TEjS/c+p9ZVxU3cjjnSZYHXC6Oa9iBQBV9gBVngCbw/W8ZMVaHmw7zKZQHWk0HdEB4qkUe3rb6IlFiSRjY/Z1c8s2yl2jmYULqlaSSKfY39dBg6+cV6zalLP81ooVdOx9hHOZ8NKVdWtY6R/5vUeDv5zD/V10WoI1m8N1XL1ibc52rqlv5bN7HmIwOT+V4nviY1uUVbh9KGZeZiWvUlEdpmpYLcArV23CZ3dS7Q3kVB6chBSwB1ON79nMv88BkyrpPwm/YZKhopX+ihLtcvGyoWgOVrEptJKmQBW2wi0eOoH/O8GmyjDVh67MfOxktJ1CQSmdpj3ax5mhHk4P9nA22ksinRpvlZKq8ZSxrSKn5esnKX2gCEyFrZFfThoTuk9pPe1rfg6bnctq1+UPS7sKIYQQQsjJyynSWndhwjZzuc9HMZUqZ3MfGvh15kMIIYSYVRIqEkKI0srp96ElVLQIyTvzYnwOEyTaEq6lJRjGrooHidqiUR5pb6PK4+Wq+nqAossvRU2BEJfVNlmHvgzcOcnVBzF3M/0dpmrR32J6of8KYHVZBc2BMLFUzkW5Lix3XV1R15y/zU9Zn4RcHkK5FSZKdaFXiFJKAz8E7sLcedeAucMPgKDTy/bKVrZXjrMBnaY3Pkh3rJ/e2CA98Qi98QiRhFT9LqWH2p6n3OWnwm2CL1fVt46EiqLJBMl0CkdeKEUpxVX1o50es6GZHdWrRsaODpxjIBGjMxqhPTqQEyjKqveVsb+vo+BrAOUuz0ioyOcY2z7PZct9SxwsUFXPbrPR4C/nQF+xjly5ar1BXt20hSpPgP29Hfzk+POk9PRbwnXHxoaKHDY75S7vtCso2ZSi0u2jOretWhA4SyZU1FpWNZlNnWO08tBB4ADwO2B4WhObnP8A3j2ZBacYhlpSQi4fm0INbAitwO8oeFO2Bn4JfBX4GWMDK5WYMGc2RLQdU5GnqGQ6RVs2RDTUQ9tQL8kZfO/PhMvm4NqGLdYQ1RHgH2dpdwngETLVirK/j6yBosFEDH/xqp0Hgc8Dd2O+zl8ACiXivlui+QohhBBiEStyX58QQgghxKyRUJEQQpTWyJWw/niC+TmFLmZCIkW5Ag5XpiKRCRIVubudtNacHRri4fY2/vfMGeJp893/xpaR6//Yi6y7FN3UuMH6tdoLvGeKm/hZ5iPr18CDmIt6vHTFah7rPMmOqhXZ16/HtI26nLG+A+zGXCgeqUBhMYBUKRILWxLzfXwHcAPwDuCVTHBxG8CmbFS4gyNhl6xEOklffJDeWITeuAkbdcf6GSpQHWch2hhqpNYb5rGOfURT8z/nlE7zcNsL3NR0CWCCHOvLa9jf10FKmzZlzcGR9FeUCVokZbUEx0mMZVS6/VR5/EUr5lkV+juUrZrisTvQUPTvXDI9+aO6y2tbqMq0W1ofquFGvZmfHH9+0uvny2tRNqLK459UqCjs8lHt9VPtCYx8VHh8xcK+fYUGMQGUQ5jKQ89Z/j3NzAsmTcSNqYpzVebj0olWSOs07dF+Huk4OMtTW1gcyk5rWS2bww2s8IWLLXYM+DrwTUxLuqx6RgNEVwJbJtpfPJXkbLSX05lWZu3DfaQXwE0VCri+4Twq3Dltz97O7Ibd3o05nqou9OKpoW6e6jrKH60Z8+37AeCjlucHM9v5YGab2STSdzGBOiGEEEIsc8vo9JoQQgghFggJFQkhRGmNtGI4Gx0abzkhFqyg08WmUC2bwzU0BULjBolODw7yUFsb9505XTBEl7Dcne5YJpWKWoJharwjF7E08FZM9aGZ+idMyxeag2EebDtGezRC7ei+dmCqG52PCVscANZjqh69Gfgi8EfAj4HyzDrDmIts50owPyFmWwL4SeZjBeZn60ZgE6Pf05PitDmo8pRT5cld7Uj/WX7fsYd4OlmaGc+CjaFGdtVsBGCVv5qD/ad5ofsYkeT8Vl86F+unM9pLtde0Fzu/soH9fR0AdEQj1lDR2HJBRjvm/enESSKL9aEa1odqJrVsoRCNBt7SupNVo+0gC5pKy6ZsoChrU7iOxzqPc3aof9LbsOocjhQcr3D7sXTexWWzU+0JUOsNUuMNUuMNUOMJ4LJP+m1/HPgrTIW8EPAC8DwmmLqH0vwtm6ztwE2YENElTNCuYL7bbM23Wk8Zm8IrWVdWV+y/dxzz9/+rmGOJ7AFaAHgD8E4mEdYaTiU4M2iqEJ0Z6qFzeAC9AFtMXlS9huZgTrbnXzHh7Nn0Aibc/XngakxA7wUygfDVwRr6x4YAvwV8rMC2uoC/AT4MXAzsAw7PxqSFEEIIIYQQQgghJiKhIiGEKK3zsg9ODkqoSCweZU43m8M1bA7X0jTOhdW01pwcjPDg2TZ+c/bMhNW44qn/n737jm/1ru/+/9KW5SF5b5+9z8lOSAiBkJBQskmBssIKdEJvCoW7N7sU2kLLKHTQsgsFfrSkrIQRQsg5CckJSUhCzspJTs7yXrIkD+3fH1/ZlmXJU8Pj/Xw89LCv/ZUs25Ku9/X5TK+xXtqftXmq0ifvB36Tp13/CtMC7VqAFzdv5v878TvetuMiyuwOMJU/3gxchAlZfBRT1WXSHwPXALdiAhn21P668jQ+kWLqAv4udbNi2qJdCFwFbMOczH035oT5eZiKG3tStw1Z9gfA5qpm2ivqGZwIEIpNMBGPEI5HCMejTMSjhOMRJuJRxuNhwvFoQe9gLju90+3B7FYbu3wd7PC2cSLQzZNDzzESzU/uw2m1U+UsJxAZXXDI6uzYwFSoqMVTxWUNG9lb3Ux92YyQTa5+VCHg7UAc+Cqm3d2yXde+m/6JEEPhsaztzzZX1s4bKAKILqJS0XBknNqZbcXYUlk3K1RUZnOQJMlEfPbju7WqjiuatmC1WGa1PpvaZ1UtTqvNhIfKKqlxeRY8xpQYpvrQkdTtDuBR4BWL3VGe3YwJD+YUTyToGffTuQLabJWK2+Zgh7eZ3b5W6tzZnyOYQNiXMFVuhlLzLMClmKpvr8b8ncxqNBaeESIaDGcPuK0kmyrquaR+S/qs72OC2cXwNPASzN+5BOax9QNWh9XGxfWb09f9L+AtzF3pawDTEk1ERERkiioViYiISLEpVCQikl9TbQJOh4p5Mbfky3p6Y+5zuk2QyNdIe0XuIh/xZJLToRD3dnVxf2/Potr6pVcqslnX/oPrstq4uL4tfdYTedy9DThGKlTUXuHFZbVxx8nDvG7ruZPr7MG0FkqSvZvfFuCLmApGK7cUi8jiJDDBiGcwLdIyPZkxXQHsYjpktBtTCaIWTBWjJk/N/AdNJkzAKBZmIh5hPBZmPBVACieihONRYok4Fgs4rQ66xwYZj0eWfi+BOrcXn2v2+X+rxcpWbytbqlo4Gerl2UAX4/EIkbgZRyQRm7eaiBUL9WU+Wjy1tHhqqXN7sVosBCKj/PD0Q0QXECzqH5/unFVmd/Lilm2LuXtbgJ8sYv33YFpi7cX8TcsaVqpyuqlyutmSbSFwdev2BR0sscymthfVt2OzWqlxeahxeWYEhb729MN0jU0/dpsra3nV5vPn3eemytoFtYjD/E94FlN16BCmesohTABieU/Kwrggc0YsEad7fISu0SETIhofIb7OQkST2str2eNrZXNlA7bsbf8CwLeAL2NCYpO//HXAbZgw0Z6sG0bGTbWnVIjIH1ldF0k0uKu4tnVf+qxjmKp2xX6yTJbJCmJeC2b+Qg8Cf0rxxyUiIiJrgGU9fXgpIiIiK4JCRSIi+TV1VX3P+EQpxyGLMPM069p+Y17jKmOPz1Qkai2vyrlePJHgZCjEL7u7eKC3d8nHC8enW4+s9fZnVizcvGEX1a6y9NnfzNPuLwU+k/o6pdLp4oi/n4f7z3LJzDDTXE/kzZhqRg/laWwiq00IU0EsvYqYDXgv8AFgQeVerBYrHrsLj921oIP6wyH+99QDixzqTFurWtInHwa+ghn3ZjAfLm+qbGJTZdOsbSOpykonQ70mbJSIEYlHcVjtNJb5aPLU4LDOfntY5Sxnc2UTx0bOZh2T1WKhzVPPlqpm2ssX1oYsDxLAP2NaOAK4MC1o92La5MUw1Vmq83VAyyJeHySTswNcHruTyxs3ZV1/X3UzXWMjVDpcNLgr+YMt8weK5hDCBOmeSLv9juK2Lluuqd/NRDLB/556lJ5xP4ksj+t6Uelws8vXyi5vC1XOslyr7ccEif4HmEwDWTFVCt8K3AI4MjcKx6McG+nmsL+T/olg/gdfJFWOMm7suCC9/VsQU51xaX0H8+cIs0NFX6L04xIREZFVSpkiERERKTaFikRECmS+igCyMq3F9+V1Lg97qhvZU91AsydnewxiiQTPBYPc09XJQ/39eTl2evsze/ar6deMl2/czb6aGSfy/xo4uMTd2YFPAJcDzUBH5gqPDnRy1G9+Tr/ofJYNFT4ay3J2MEk3AWRPB4isX3FMK7XPYcJ7m4E2TGWPOkwVo8nv64HZfbTm4XNVYLNYl1xdxWqxsLmyOX3Wv2NCRV/GtDB6H6YCU1ZOm8kSbPe25Volp82VzbNCRQ1uH1uqWthU2YTLNiunkC/fxISE3sDMSkSfZzpQBBBmOkAz6YfARmA7ppLR9tStNTW9KK/beiF94yF6x4P0jQfpGw8xEA5lbYu22NeAe2qa2F3dNNnKcj69QDemrd8ppu/346mvz7H6q5/ch/mdtFktVmKJ+LoMFJnf+QZ2+1rpKK/NdUV6D/A1zN+C42nzN2Baor6ZLK8hAM6ODnHY38mzgd5V3zrOZrHysrZz01scxoBXAodLN6opT2WZN2d7PxERERERERGRlUShIhGR/OrCnLDi6uYmnhzyE1+HJ0FWnbQf0VoJFTW4y6eCRHMFTaKJBCcCAX7e1cmjAwN5H8dEYrpSkW0NVypqL/dyXu2Mk/33Ah9fxi7/GHhXtgVPDffyQM8pzo5NX+A+Ho/yb0cO0uCuYIe3jqtbZzX6+Q3mBHwM+CAKFYnkMgrck7rlYgGqgMYst3pMAKkW8KXW2zq5YWNZNX3jfmLJeOY+57WxYkZ4ZxxTjQTM7/U3Me2ObgH+CBMoqEndsrYFyyEMHADuxrym+QZAk6eGcrsbu8XGlqpmNlc1U+lYUEGn5doCvAB4S2rajgl2LaSEXozptnh3ZSxzATdiQliXADfMtzO3zUFHRTUdFdPFj5LJJMORcfonQgyMhxgIjzIwMYp17v93EeDPgS+k73sen8cEiQ6mbqOYn+vin0irQxBTTe9ygPbyGvom1k9RlxpXBbt9rez0NlNmz5pfjAN3YgKFdzHdztQF3ISpSnQNWV7WhqITHB3p4vBwJyPR8YKMvxRe2LSThrIZFThvB35WouFkGsyYTmL+LomIiIgsiSoViYiISLEpVCQikl//C1wJcGlDPR93u/nsoSNqhbbCpVcUmOdE4IrWVFbBnuoG9vgaqS8rz7leJB7nmUCAn3ee5fGhoYKOqaVs+qTzWq0y0Oap4o3bZnS1CADXY6prLEU58JeZM7vGAvyi81mOBzLPTRnxZJI6t4cXNc9qr/OZ1P5WdxkCkZUjCYykbk8vYP0ngX0AL227CDAtJsOJKOF4lHA8kva9uUUSUSbiUSLxKBWOMrZUtdDsqUnf5x3Mbp2TSM2/I22eBajEVCp5HqYdWE3q6+TNhmmldi9wPyawNLnth0mFoq5vfx7lDvcC7m5eXQa8AvhuajqGqcyyXGGmQ1npajEt1PZigi2DwKdJBcYzWSwWalwealwedngX3PrNCfw38GNMpaHM0NdZzHPmKOAHvkr2IOhaDRRNuodUqKitvJZHB08uaSdWi4VaVwWj0TBj8Ugeh5dfDquN7VVN7K5uo6nMm2u1ZzBBoq9jQmaT9mJCNLdhnsMzJJIJToYGODTcyanQwJqrptpeXsPe6hkV2P4Z+M8SDSebBzB/uyY/f/sKkP8kv4iIiKwbq/ijSxEREVmlFCoSEcmvfwNuBV4EsLWqkk9efAGffuoIjw8Nl3ZkklP6qRXrKrvap8VTyR5fA3uqG6l1564aEY7HOT4ywk87z/LUcPGeixsqpqskdY6tvSoDNouFmzfswmWb8ZLqHUyflM9UhzlJHMuxHOC1mCojAPSOh3h0oIuDfWdIzHEi8LKGdq5rn9XR54OYiklr6wyiyOryv6RCRZNsViseqwuP3bXUff7bAtdLYsJHT5G9BU8u5ZiqR1P/FUsQKJr0ccxjuNSg5mIMYlpv3Zc2705M1alzgHPTbnuAsiUcox9TaWgIuA54CXAS+B3mZ6QXjMYvgA8BtHh8C24daLNYaSrz0lpeQ6unmqYyL3arjUgixreffZDACqvO01zmY3d1K9uqmnBYsxYVm6xK9iVMFbHJ/+eVmLaHt2MCg7MMh0c57O/k6EgXY7GVG6haDpvFyouaZnR9fAR4d4mGk8sh4Arg9cCjrKzAk4iIiKxCqlQkIiIixaZQkYhIfkWB38O0qXgrgMdu57379vDe3zzG2bGxkg5OsksvoLMaKhW1eapMRaLqRqpduc9nTsTjPO33c9fZMxwdGSniCKe5bdMnyMZixTgfXHiN7nJq3R5Oh0bYV9NEk6cyffGfk/1kkR34GvA6TMWJlwKHcxyiNX3iicFuHuw7PeeYrmrezItbNqfPGsSEk34+54YiUgx/CzQBbwCWm8x5DhO0eGC5g8rCDlyNOfH9ckywaCXYCvwBpsVbqfiB/anbJBuwCVMlZh+wG9NObQfTP+cYpnrMH2Ae38cx/yPCqeU/R3+nczkIjAEeu9VGc5mPs2OzqyvaLTaaPV5aPNW0ldfQ6PZis85+Lee02tnubeKRgecKP/J5eGxOdvpa2O1rpdqV89fsEUxVom9jqqKBCfldjgkSvYosv6PRRJxnAr0c9nfSNbb282nn1XSkP4YJTPvHlZigeih1ExEREVm21XZBpIiIiKx+ChWJiOTfBPA24CeY9gQVTpuV127ZyCd/lytDIKWUXv3FtgIv97EA7eVe9lQ3sru6AZ8z9znpiViMI34/d505w/Fg6SsD2dNO7MUSq7v7lsNi5aYNuzivtjnXKt/GBAqz+StMoAigDVPN6E9yrHsHpuUQAJurajjQeyrnuJ5X35YZKDqJCTcey7mRiBRTGHOi+48AB9MtyGowrYpyfT85HQV+hgnVHCS/lccswAWYINFrgMY87juf3kJpQ0XZxDHtqJ4Bvp823wZsBLZh/h4fBb5T5LGtBRFMxaiXAbRX1HB2bAiHxUazx0dreTWtnhoayqqwLTAQ3uCuKuBw52bBwoaKOvb4WtlYWZcrxD6MeZ5/GXgibX4DJpR4O7Az24a94yMc9nfy9EgPkcRcxRDXDofVxvm1G9NnfR54rDSjERERERERERFZuxQqEhEpnDtSX78HcEFtDW6bjYl4vIRDkvlYWBmhIguwocJngkS+Bqqc2VvkJJNJxuNxDg8Pc9fZM5wIBos70HmkP5qruf+WFQuv23ouW6pqc60SAT6WY1kdJlSUbmKOwx1Nn+gZy/0z3e6ty2x5dhi4FuicY/8iUjpRoC91K6VNmGpmrydHSGGFeTFmzKUvMzO/OPBs6ibLcw+pUNFObwtt5bU0uCuXXFWyFK9DvE4Pu30t7PS2UJG7heA9mPZm32f69YENU9XwduAmsnx2MxGPcszfxWF/JwPhUP4Hv8KdX7OBMrtzcjIE/E0JhyMiIiJSNCvwekgRERFZ4xQqEhEprB8AAaDKbrWysaKcoyOlrx4jM6VXJ4omShf6smJhQ6WPPb4Gdlc3UOnIHSQai8V4aniYO8+c5vToaJFHuv5c1bJ5rkBRF/AmsrczswPfZXaLkrnKNr0tfeLxoZ6sK9W5dJKy7wAAIABJREFUPLxq016s08/fs8A1qfGIiGSqAV6JCRK9oMRjWYo3kVbFTdaFX0x+U+FwzxXKWZBitQOzW6xsrWpkt6+V1vKaXKudBb6auqWH5TZhKnO9CVPZcJYzo4McGu7kRLCPeHJ1V4FcKqfVznm1G9JnfQ7T+lVERERkzVOoSERERIpNoSIRkcKKY1oQXQxQ73YrVLQCOdNadAWi4aIe24qFTZXV7KluYLevgXKHM+t6yWSS0ViMJ4eGuPPMaTrHxoo6zvxYnbWK7BYrlzfOOHH1XeCtwEWY11L3A+PZNgX+DVNhI9O7MNUIqjCtEn+CeYB8wF9PrvTYQBe947OrD1iAV2zai8s29VIuCFyPAkUiMtvFwF8Ar8C0XyupRCJBNBrF5coenJ3DGzF/H9dnimJ9+h3QDeTsOzqfcDxK15if54J9HPYX9l9kg7uK3b5WtnubcNmy/qpFMRccfBm4G/M+AcANvBxTlejqbBuGohMc9ndyxN9FIJrtJcf6cm5NR/pjPAJ8soTDERERESkqi1JFIiIiUmQKFYmIFN5UishlW1q7BimcbZWVM96MD0wUPqxjs1jYXFnDnupGdvnq8dizn+NNJpMEo1GeGBrix6dP0TsxV8csKRS3zY7dOuN396OYEM+9c2zmAv4L+P051nlf6uvbgceBL2LaENUChOMx7u58JuuGrZ4qWsur0me9AXhyjmOJyPpzOfBBTAulkkomk4yNjREMBgkGg9hsNjZt2rTYD8M3YEKa9xRmlLICJTAh3jsXusFYLEzn2DBdo8N0jQ0zGA4VNNLstjnY4W1mt6+VOndlrtUOYYJE3wT60+afiwkSvR6oztwonkxwMtjPIX8np0MDqzSanX8eu5MLajemz/ocJlgkIiIiIiIiIiIFoFCRiEjhTZ1hiCR0cf1K8+KWxqnvh8JjjMejBTmO3WJlS1UNe6sb2eGto2yOIFEgGuXxwUF+ePoUg+HiVk4qrNV5JVUoFmFgYpQ691QHsz8F/myezb5GWqDozOgIPzt7nNduOQePPWs1qvOAf0mf8UDvaUKxyNR0e7mXDRU++iZGSSZnnFocxVQ+EBGxYII3HwSuLOVAkskk4XCYYDBIIBAgHp9uLxqLxRgbG6O8PLMz5Lx+galIEgJ+CzyGqWSjvMXaNWdYJBgdpzMVIOocG8YfKU4lx/byWvb4Wtlc2YDNmvWigSDwHUyY6GGmn6M+4DWYMNGF2TYcDo9yyH+Wo/5uxuORbKuUlBULVc4yzqsxVRwP9j9b1HFeWr8V53SlxkHgM0U7uIiIiMgKYNE1qyIiIlJkChWJiBRWO3D+5ETvmCrNrDTn1kxfGH4iOJzXfdstVrZ5a9nja2CHrx63Lfu/3WQyyUgkwmODA/zo9GmGIyvvBNJSpZ/lXZ2RIiPjbPWNzB0qqgNePTkxFB7jK8ceJZZM8LlDD3JBbQvn1TZT4XARSySocs5uARSOx3io7wxgHrfr2ndwaUP71PLh8IzWJ+XAFcD+Rd4tEVk7LJiKRB8Enl/KgUSj0akgUWSO/2eBQGApoSKA92ZMHwe+l7o9igJGa82MlJA/PEpnKkDUNTZMMFq819aVDje7fK3s8rZQ5SzLtdr9mCDRf2NCvwBWTNjvLZjAsTtzo2gizvFAD4eHO+ke9+d/8HnQ4qlmb3UbO7wzu9Ft8zbx3ecOMlKEQFe9u5Ldvtb0WR8C8vsCXkRERGSFU/czERERKTaFikRECuvTgANgYCLMM8FgiYcj6arsdhrc0+d1nhkZXPY+HVYr26vq2FPdwHZvHa45gkTDkQiPDvTz4zNnGFlDQaJ06RV1VuuHHpUOJ17njPN/v5xnkygQAZwA5XYnlQ4XXqeLK5o2sqmyGofVlnPjiXiM7z331FTVrBs6dnJJfduMdapds05mfgS4av57IyJrjAUTdPwgcFGpBhGPxwmFQgQCAcbHx+ffAAiFQsTjcWy23H8PF2gb8Fep2yng68DngYHl7lhWhCcx1Yq8AL/qOcqZ0eW/Xlsoq8XClsoGdvtaaS+vzdWyrxfzvPsKcCxtfjvwJuDNwKZsG/aMj3B4+CxPB3qIJuLZVikZp9XOxoo6Oipq2VTZgNs2s8rmaDT8w3KH6ya3zcGtGy7ijlOPFDxYtMfXlv4zeAr4j4IeUERERGQFWq2fr4mIiMjqpVCRiEjhXAe8YnLiu8+dIp7UxfMryZt3bJ06MTERj/F0YGnnH902Ozu8dez2NbDVW4szR2AkmUwyFA7zcH8/d545TSgWW/LYV4uZlYpW56ceF9W1pf9MQ8yukpFpBPgw8HcALpudP9p1MW6bHds8NaqP+fv59oknp/5WPK++fVagKIdzFrKSiKwZVkzFkw9Qot//ZDLJ6OgogUCA0dFZbRkXtH0wGMTn8+VzWBswlUv+EhM2+BimPZKsXnHgAHADQFt5dVFCRbWuCnb7WtnhbaYse9vSOHAXpirRXZhAMYALuAlTleilZCnUOB6LcHSkm8P+TobCoYKMfzkswKUNWzmvZgP23CHooXKHa9/kRIXDza0bLuI7Jx4qWCs0t83Bdm9T+qxPAWv/xbSIiIiIiIiISIkpVCQiUhhW4B8nJ474R7i3u6eEw5FMFXY7z2+on5p+fLCbaCKxiO2d7PLVs8vXwOaq6pxhkWQyyUB4goN9ffz07Nl1ESRKtxban3nsM67MD7CwNht/D/QDXwJTrShDHHMibEbvsx2+ejZWVPNscIhWTxUva9+Wvvgh4FrgZuALmLZnkz6/gDGJyNqwB/gicFmxD5xMJpmYmCAQCBAMBkks4v9mNiMjI/kOFU3yAO/EVHG6AThaiINI0fyKVKio1VNTsIM4rXa2e5vY7Wulscyba7VnMEGi/wS60ubvA24HXg/UZm6USCY5HRrgsL+L54J9JFZwl74rm3eztzproDkB/AL4FuZ36iDwNlLVgiocbrZ7m3hi6HRBxrW3ug3XdLWkAPA/BTmQiIiIyAqnSkUiIiJSbAoViYgUxtuAXWBOInzp2DMr+NTB+vS+c/diS70LjyUS3N97at5t6lwetnvr2F3dQHu5F2uOd/HJZJK+iQke6uvjp2dOM77Mk66r2WIrV6xEh4Z7ubShfXKyBVMd5DsL2PR7pEJFGf4W+CimqkEL5m/FF4DNAHuqG+gaC/CaLeekh9U6gZcDQeCbwOOYahzW1Fi+t+g7JiKr0V9i/oY45lsxnyKRyFSQKBqNzr/BAoXDYcLhMC6Xa/6Vl2YL8CBwK3BvoQ4iBferyW8ayqqwW6zEkvl7bdXiqWaPr5UtVY252pOOA/+NCRMdYDoz7QVeg6lKdHG2DUciYxz2d3LE38VoLJy3MRfKxXWbMwNFw8D3gbtTt8yynnemT7ywaScVdjcPDzyb93ZuO70t6ZOfx1SPFBEREVl3rAoViYiISJEpVCQikn+NwCcmJx7o7efU6GgJhyOZrm5uZFtV5dT0r/tOMxKZmLWew2JlY2U12711bPfWUuPy5NxnIpmkZ3yMB3t7+VlnJ5F1HCTKxbJKL6U6GfLTPRak2TP1nNm+wE1HgJPAxrR5YeCzqa8AZ1O3TwH/AlDvLuea1q14ne7JbZKYk5bp5c6eAl61mPshIqve+4CPF+tgsViMYDBIIBAgHC5cGCIQCFBfXz//ikvnA+7AVJI5W8gDScE8gQnVVtosVprKfJwdG1rWDk0rrWb2VbdR46rItdpvMEGi72D+p4MpvHglJkj0CqAsc6NYIs4zgV4O+zvpHFtIccPSq3KU8fyGbWyb2V7s18DLMFWBchkAjgNTpRUvqNvI3uo2To8Osr/naF7CVFWOMqpd6QUa+dqydyoiIiKySq3Sj9dERERkFVOoSEQk//4Ec+Uyo9EYX3/mRImHI+k2lJfzhzu3TwVcBifG+FXX9M+o2lk2FSLaVFmd64p1AOLJJGdCIQ709HBvdxeKEa1NZTYHjWUzTjg+usBNk8BHmHni6/2YtmiZxtM3OremOX3ZxzGVEURk/fpTihAoSiQShEIhAoEAY2NjhT4cYEJFdXV1hQ6e+jB/i68F/btehWLAA8DvAbSUVy8pVGQB2spr2eNrZXNlAzZr1ta1Q8A3MGGi36XNbwXeBLwZUwFrlt7xEQ77O3l6pIdIYnW0u61zVfL8xm1sqKjLXHQcU+FrrkARQAS4BvgpsHNyptNmZ2tVIx67k++d/M2yxxmbXfVoA6YVnYiIiMi6o1CRiIiIFJtCRSIi+feiyW9+dOYs/kiklGORNI1uN3970XlTbc/iyQT/e+ow7RVednjr2e6tpc5dPuc+IvE4J0MhftnVyUP92bIhks5jn36pMRFfHSfYMnmdrsxWd/csYvOvY67ivwpzwu3uHOtNlcqyW6yZHxD9cBHHE5G1pwP4h0LtPJlMMjY2RiAQIBQKFb1tZTweZ3R0lIqKnNVi8uVqTCDky4U+kBTEfiZDRZ7qRW1Y6XCz29fKTm8LVc5ZhYXA5Hnvxjw3fsB0NUEncCNwO/BSTMvRGcZjEY6NdHPY38lgePV04+oor2VfTTubKuqzBfoexLRc7V3g7k5hqjf9P+AWoJ3UY9XiqabOVclAOLis8Y7FZ72f0qk0EREREREREZEiUahIRCT/fJPfnBktzlX+Mr9tlZX89QXn4rRNnw+yWay8dsu5eOyOnNslk0n8kQiHhoe5u7OTU6Or54TRSmBLO1EVW6Ut4dy2Wc+PvwfeuYhd3Jm6zWUqcWW1WBiLRfE6p6pk5e67JyLrwWcowN+BiYkJAoEAwWCQeHxWFZCi8vv9xQgVAfwhChWtVvsnv2ku82LFQoLcATibxcrmygb2+Fppr6jNtVov8J/AfzCz6s0eTJDoNmBWCZ9kMsnp0UEOD3dyItRHoshBvOWocpTxoqadbKzM2nLwOKaF81dZfEWvXsxro3cC5UA3UAlQ4XAtO1TUVl6TOevIsnYoIiIisopZrMpXi4iISHEpVCQikn9TFUcq7PozW2pW4I3btnBdW0vW1irZAkXRRIIzoRAP9fXxq55uIqs0DCP5sblyVkUEX7b1lmnqbFut25NZ1WkzcF8BjikiK982TAuivEgmk4yPjzM4OMj4+Pj8GxTJ2NgY4XAYl8tV6ENdgmnRdLTQB5K8ewTzGtttt9poKKuiZ3xk1kr17kp2+1rZ7m3OFgoGiGOCvl8B7gKiqflVwKsxYaJLsm04EhnniL+TI/5OQrFwtlVWtG1VTVzVvBunbdb7kyPAXwI/gTmSWgsXA9yTE6HoxByrLsy+6vb0yZ8CncveqYiIiMgqpfZnIiIiUmw62y0ikn8ngEsBbupo4zcDgwSi0Xk2kUL4/Y52XrN107zrJZNJAtEoh/3D3NPZyTPB5V1NLWvLhopZGaKPFOAw9wNjgMdts+OeecKvtCVERKSU8hIommxxNjg4yMTE8k/wF8Lw8DBNTU3FONRrgQ8V40CSV2HgIKk2wy2e6qlQkctqZ4e3md2+VurLqnJt/zSmStU3MFV0wLTQugwTJHo1psLODLFEnGeDfRwe7uTs2FAe707xlNmcvKBxOzt9LZmL7gH+Efg5i69MNJftgANMq+Gh8OiydlZud7G5siF91heWtUMRERGRVU6hIhERESk2hYpERPLv3zAnrGgt9/CJi8/na8ef5WD/YImHtT7s8nq5uaONfTU+XDZbzvWSySSD4TCPDgxw19kzjEQiRRylrCZZLtk/WYDDhICPp26Z839SgOOJyOrw8uVsnEwmGR0dZXBwkHB4ZVdWCQaD1NXVYZ+jymMymSSZTGK1WnOuswBXLGdjKan9pEJFbeU19E8E2O1rZUtlI7bsz4lR4LuYMNGvmf6XXo9pbXY7sDvbhr3jIxzxd/H0SDfhRCzbKiueFQvPa9jCuTUbcFhnvCYeAd4O/Bf5qUyUafPUgSJjc7apW4hdvhas02fOngN+tKwdioiIiIiIiIjIoihUJCKSf/djggHvB6h3u3nPvj0cGxnhvp4+Hh8cpm+FVglYjcrtdl7a2szz6utoLy/HaZv7RGPX2CgP9vZxd+dZJtTWTBYgmphRKGgUU9mgECfhPolpy3Nbatqf+r6/AMcSkdVhx1I2SiaThEIhhoaGVnyYaFIymaS3txe32z3VrtRisZBMJolEIoTDYSKpALDH46GyspLy8nJscwSIc7gEU0VFZSRXn/2T32yoqGNDRV2u9R7EBIm+y3R7UStwDfBW4BZSlXTSTcSjHPN3cdjfyUA4lM9xF53dYuX69vPomP0YPQi8DhPOKZTGyW8yXkMtSUaVoq+R36pKIiIiIquOKhWJiIhIsSlUJCJSGB8EhoBPkPpbu8PrZYfXC0Df+ASPDAxyb3cvz4VW90mLUmh0u7llQxsX1tZS7XJOnXycyzG/n088+YTOQsiiuG12vE53+qyfUZhAEUAMeAOmvVoj8ASmJZqIrE8OYFb/xbkkk0mCwSBDQ0NTAZzVZHR0lNHR+Vslpa/X3NxMZWXlYg7jAc4BHl3KGKWkHsT8r8z2OUYf8J/AV4HDafM7gDcDb0l9P8uZ0SEOD5/l2WAf8eTqf6XYXObj6pY9VLtmdHMbAD4G/DOFbat6OfA3kxPJ5PJeMtktVurdM1rafX9ZOxQRERFZA6wKFYmIiEiRKVQkIlIYSeDTwF3AZ4DfS1/YUObmuvZWrmtv5ah/hF909XCwf4DxeCE/41/dtnsruam9jb3VPsrt9jmDRM8FRrmve5DXbWvDkWqHsd3r5ctXvHDGepMVEH529izfee5EQccvq88FtS3c0LEjs2XIJ4tw6BOpm4isb9WL3aC/vx+/31+IsaxYo6Ojiw0VATwfhYpWo1HgPuDq1HQC81r7y8CdTFefcgI3YaoSXYupMDhDKDrB0ZEuDg93MhIdL/S4i8JhsXFJwxbOq9mQ3i4MTMWmN1P4oPJNqWO5JmccGemizOYEYDy++KBjud2Vfl8SwKFlj1JERERklVOlIhERESk2hYpERArrKPAy4CJMq4GXArvSV9jp87LT5+VN0c3c3dXNXWe6GF6F1QUK4cLaGm5ob2W7twrXHO1NxmIxHu0f4eH+YX7T76dz1LSXO6e2igvqTJGHXCEki8XClS0tChXJDD6nmxs7dmK3zmindw/wcImGJCLrj5LGCzCxtJayzwc+n+ehSHG8FXgn0An8F9CVtmw3cDum6t+svl+JZIKToQEODXdyKjRAsmCFB4uvsczLtS178c2sTpQAPgv8X0yFp0KxAu8G/pbUZ0zxRIL7e48xOBHitq2X47I5eDbQy4N9zzAcmb8a2aSMn5CVLAExERERkfXGYp1/HREREZF8UqhIRKQ4HkndAFoxlYveClw6uUKFw8HLN3TwsrZWvn78BHd3dZdgmKV3RWM9L21tYUtV5VSVoWwGJyIc6BnkQPcgvx0cIZqYfWLol50DU6Giudh0iY9kuK59e3qgaAJzUu5vKFzrMxGRTItOyyykHehaE4lEiMfj2OYIH2fx/EKNRwruJCZUNKkCeBXmdfVl2Tbwh0c57O/kyEgXY7G1F9y/sHYjlzZsxTrz7NJx4DbgYIEPXwt8C1MRCoBwPMqPzzxOz5ifV2++DJfNAcCWqkY2VTZwxN/Jwf5nGY2F5925z+nJnLUJc99ERERERERERKRIFCoSESm+Tkybhi8Dl2DaEbwOqARw22z80c5tPBMI8Fxo4VfyrlY24Jq2Fq5qamRDZcWcAZ8zoXH2dw9yoGeQw8PBedMdPzjVw8P9w3idDuKJJAmSxBNJ4knYW1PJ+87fDuiS52JZLY/zhgofu3wN6bP+EPhGiYYjIuvXonsyWecI465l4+PjVFRULGaTDqAe6C/MiKQILsL8f34NJlg0QywR55lAL4f8nXSNDRd9cMXgsNj4411XZ85OAp8APsoS/obM4y+AVwM/AT6HeR/zLdJaNYaiE/z4zG/pnwhyTk0Hte6ZPxqrxcKe6jZ2eJt5fOgUjw6cJJKYXUSp3O7i+vbzaCzzps/uBc7m+T6JiIiIrDrr8FoSERERKTGFikRESuvh1O3/AW9Jfa0DuKa1hf84tjYvxHVbrdzQ0cYVjQ00e8qwzvFu+Jg/xH3dA+zvHuRUaPHnRrrHwnSPzb4Sur7MOfW93osXzozg1yp4oCsdTl7SsiV91q+Bb5ZoOCKyviWACOCcb8VJ67FSEZgWaIsMFQG0oFDRavUaTOuzWU/4vvEAh/2dHBvpzhpWWQssWDi/dgOXN27PXHQac6HC/QU4rBf4R0wLskuAD2eu8Gygl192H2YiHsVtc/C8+hmvp+7BhPm2AditNi6q28ze6nYe6T/Bk8NniCcTUytf07ovM1AE8KfkPyglIiIisuqs1/d9IiIiUjoKFYmIrAx+4NNADPgngA0Vs8r9r2o+p5NbOtp4XkMddS5XzjfAiWSSp4YC7O8e5L7uQXrG52+NsBSJZFrcRW/GBbikvo2Xtc1oewbwddTyTERKZwKFiuY1Pr6knEEL8ESehyLFcS1pgaJwPMqxkW4O+zvpnwiWcFiF57Taua79XNrLa7MtPh8YKtChA8AA0JBt4f09x/jt0Kmp6S2VjbhTbc9SXpca2+3AR4BGALfNwQuadnBubQe/6j7KyVA/26uaaC+vSd/2OPBe4Pv5uzsiIiIiq9c6fdsnIiIiJaRQkYjIyjJ1Se5IJFrKceRFq6eMWzrauaCuhiqHI+fJzlgiwWMDI9zXPcj9PYMMhQt/32dUR0oqM1IoM37iK/hhPr+2mRs7dmbOvg/4WvFHIyIyZRyoWujKaz1UVFFRgdfrxWq1YrFYpm5LbPvmy/f4pGgOT34zHB7lOyceJJZW5Wat2ult4ZrWvbkW76NwgSIwr+I+hWmtNmUsFuZAzzGeDvTMWHm3ryV98hCmdRnAFzAVIN+JCQpVAlQ6yrix43y+cOSezApMdwI35O9uiIiIiIiIiIjIYilUJCKyslw5+c1zwVAJh7F0O7yV3NTezt5qHx67LecJzvFYnIN9wxzoGeTXvUOEovGijtOeNq4VnHVZ9WzW6cc5vkJP+DWWVXDzhl3psyaAzwF/g2k9JCJSKhOLWdntdlNdXQ1AMhWYTf8aiUSYmFjULleMjo4O3G53Pnd5Ip87k6K6Z/Ibr7PMvNZcwy/mnFY7z2/Yxr6a9myLf4JpC3ayCEP5HPBRwAVw55nfciI4u4NgR3ktTZ4Zmb3vZqwSAj4G/DumWljz5IIrm3dR4Zj6PY8A78jT2EVERETWjDV+LYmIiIisQAoViYisHB3AiyYnnhz2l3Aoi3NxXQ3XtbWy3VuFy2bLud5IJMqve4bY3zPIw31+IonShUzSW1yt4fNQJWezTD/O8RVYEcpts3Prxt3p4xwF9gCncm8lIlI0ncCGha7sdrvnDd6Ew2FGRkYIBAIkSvh/eDFcLle+A0UAR/O9Qymax4FhoNpqsdLqqeZkaKDUYyoIr9PDje3nU+0qz1z0PeAPKWx1okwTwO+Ai8CEnTK5rHaubtmTPusJ4O9z7K8f+CWmNRoA273N6cs/Bzy3nAGLiIiIrEUKFYmIiEixKVQkIrJy/AlgA+gZH+f4SKDEw8nNCry4uZGXtDSzqbJiRkAnU994mAPdg+zvGeSJwRHiKyRXYk+roJNcgWGXtSK9zdxKCxW5rDbesv1Cmj2V6bP/DAWKRGTlOAw8P587dLlcNDQ0UFdXRzAYpLe3d/6NSqysrCzfuzwFjOR7p1I0CeBe4FaAtvLaNRkq2uVt4YVNO3HaZnxsM46pbPpwCYZkB6ZKOwais6ueZak0dBu5qz7uAF6VPiPtdeMJ4MPLGq2IiIjIGmVVqEhERESKTKEiEZGVYStp5f1/frablVY7wGW1cl17K1c0NtBW7pkRFsl0KjjGgZ5B7use5Kh/ZbZxs6WNf6U91mtJetxspYS3fE43F9a1cGXz5sxFPwb+swRDEhHJ5Uihdmy1WvF6vUSjUYaGilnsZPEKECr6cr53KEV3D6lQUXt5TYmHkl8W4Lr289hc2ZC56F+Bd7PItoh59CagHCCeSNA3PjOXt62qKbPS0AcwlY1y+TDgyLHsbcDYUgcqIiIiIiIiIiL5o1CRiEjpeYEfkPqQPhCJ8ouu7tKOKKXKbufmDe1c2lBHg9uNZY4g0ZHhIAd6BtnfPcip0HgRR7k0M67qWSFhl7VoxiO7Aq6k2lJZw2u3nItzdpu+zwDvRd3wRGRl+SnwqUIeoLa2lrGxMSYmSpVTmF+eQ0UR4D/yuUOZkw14MXAO0JK6OYAo5mcRxbTBOooJ0T2bWieCCZUEyV5V6p7Jb+rclZTZnIzHcxXEWV12+VozA0UB4C2YlmelYAFei3mtBMDxQA+x5HQsv9zu4srmXenbHAA+Pcc+d5IKhWXxr5i2aCIiIiKShSoViYiISLEpVCQiUlpW4GvA7skZXzx2nLF4vGQDanS7uWVDOxfV1eBzOnMGiWKJJE8MjnCgZ5AD3YP0TayuEznWtISLUiSFk/7Ylvozj00V1dy27Txsllnt+r6NufJfTwURWWkOAz8Hri3UASwWC83NzZw6dYpEYuXV7rPb7djteX3b+kVg5fd8W/06gD/HhFGa51l3oX6Uuv0SeBroBFoB2sqrOR5YmT/WpjIvl9Rvwef0MBaLMBoLMx6LEE5ECUQm6B73MxSeruzZNrPy0glMu7MzxR31DO8G/mFyIpKI8VD/MzNWuLplD27bVNGhEPBGINcbGjvm/Y8ry7IB4P3LG66IiIjI2ma16OMrERERKS6FikRESutDwC2TE987eZoH+weKPojNFeXcvKGdc2uqKbfbcwaJwvE4D/f5OdAzyAM9QwSisSKPNH/S27fprXjhpLc8s5QwVuSxO3jl5r3pgaIJIAz8FnPiS08DEVmpPkMBQ0UADoeD2tpa+vv7C3mYJXG73fnc3VHgPfncocxiAd4MfBaozPO+b0zdwASLnmVRtS4GAAAgAElEQVQqVFS74kJFbeU1nFvdweaq6apDXqcn67rD4VGeHDrNc6H+zHaxFqAnY3ozJrT1CKaSU6G9Ln3i7s7fEYxOVzbbV93Ohoq69FXeCTw3x/5eDTwvx7IPA/6lDVNERERkfVClIhERESk2hYpERErnekyoCIDHBob4zomTRTv4OdU+buxoY5fXi9s+qxXUlFA0xq97hzjQPcjBvmHG4yuvisFS2PQGvOjm6J5XcNe376DSMXVBfBi4CniwdCMSEVmwnwHfwZyIL5iqqioGBgYyAw0lZ7PZCAQCVFVV5WN3mzHttqQwnJjn6suLcKyr0icyqvuUlMtq5+qWPWypalzwNtWucl7UvIsXsStz0SZM67NvAX8CfCJtWQ8mnHN6eSOe19QVD4eGz3IiOB0+bC+v4YqmHenr/gj4yhz7sgPvyLHsaUwlMRERERGZw6z62yIiIiIFplCRiEhptGBODlgAusbG+OyhIwUvlfKChnpe2tbC1spKHLbcb0EHJyJTbc0eGxghtsJOMObDjEpFa/D+rRS2tMc5nij+42zFwkvbtnFOTVP67I+iQJGIrB5J4K3A3tStIGw2GxUVFQSDxSh8snAjIyMEg8F8hYqcmHDWN/OxM5nBAnyZ4gSKZvE5PVQ63DMq6JTKDR3n0+Kpzpx9CPgIUA40AfVADXAecP48u/xC6papCbgC+K9lDHc+24DLJifOjA5NLWhwV3Fd+4y2sv3A25i7+uPtwCU5lr0Phf5ERERERERERFYchYpERErjr4EqgLFYjE/97ghj8XjeD2IDXtLSzFUtTWysqMA2R33crtEJ7use4EDPIIeGgqyNekS5pVfNUaSocGzW6fBaLFncZ5XNYuGmjl1cUNeSPjsE/HtRByIisnyjmHapPwO2FOogXq93xYWKABKJBMlkMmd71kX6BiaEoX//+fUx4PWlHMD2qmYeHZyr61bhOK12al0V7PK1ZAaKDgB/j/ndzfVifzPmvcErAVeOdbJ5GPjJEoY7l92YdovPYAJFf4UJQjEei3AyVaWo2unhpo4LcFqnPlIaBW4A5utB95Yc8w8Adyxr5CIiIiLrhNWitzIiIiJSXAoViYgUXyvwpsmJbz7zHKdGR/O2c5fVynXtrbywqYFWj2dGRZ5Mz4yMsr9nkP3dgzwbyN8YVgObKhUVRXo9rHgRQ0WX1rdzZfMmyh3O9NlRTIWKwaINREQkf54FLsRUg/n9QhygrKwMh8NBNLpyioVYLBaam5vzFSiadDvwpXzucJ17CabKTEldVL+Jw/5OxuORohzPabWzy9fC1qpGmsp82V5zPwNcCfNm9U8At2Gel3WYcM4/Ae4c658E/g+m1Vg+X8TWA78GvNkW3tdzhGgyTrndxU0dF1Jmn3qNFQVuxYSc5vJ8clcpeg8K+omIiIgsyBzXjIqIiIgUhEJFIiLF92ZSf3/7Jya4p7tn2TussNu5uaON5zfW0+B25zzxlkgmOTQcZH+3CRJ1jZW+RUSpWEkLFZVwHOtL4T/1sAC3btzDebXNmYtOAjcDTxZ8ECIihTOCqWbyRuBdwL587txiseD1ehkYGMjnbpfMarXS0tKCx+PJ966/iKkccybfO16HfMBdpR4EmJDPZQ1b+WX34YIfa5e3hSuaduCyOeZa7cfMHyhKFwG6gP8A7sGEkjJ9isIFcF5IlkBRLBHn3u4jHA/04rY5uLnjQqqcZZOLk5i/Rz9fwP4/Mceyg4serYiIiMg6ZZ1/FREREZG8UqhIRKT4bpv85u7ObuJLrJJT73Zxc0c7F9fVUuNy5gwSxRIJHhsYYX/3IPf3DDIYXjnVB0op/WryhCoVFUz6I1voK6mcVhvXt+/IDBRFMSeP3wOMFXYEIiJFkQS+BnwduBzTcmoHsBVoW+7Oq6qqVkSoyGaz0draitudq1iLqTSYSCSw2WxLOcQXgd9b6vgEMM+546UeRLpdvlZ+M3CCYLQwwXmX1c4LGnewu7o12+IRTBDoDPAA8LllHOpZTCu0a4GzmLCRhfnbiy1VLfCh9BkjkXGeDfbyxOApQrEwFizc1HEBte6K9NX+HPj2Avb/e8ALJice6nuGSxu2pi+/DdOaUEREREREREREVhiFikREimt76gbA/t6+RW28ubKCmzvaOKemmgq7PWeQKByP83Cfn/u6B/l17xDBaGxZg16LbFZVKiqGmY9t4VJFLZ5KXrFpL/Xu8vTZ9wOvAroLdmARkdJJYv7O3Z82z5G62VK3TcBji9mp3W6noqKCUCiUr3EuSXNz85yBong8ztmzZ7FYLHR0dCzlEC8F3gH8C4urJiPgwbQ7e3+pB5LJarHw8g0X8e0TDxJNxPO677byGq5t2Ue5w5U+ewT4d+C/Mb9r+XwuRTDVjgphK/BBzIuzMszvQ+Xkwvu6j/Dk8HQhr82V9Vzffn7mPu4D/nkBx/ICH52cODM6xKODz7Hb15pe8ehfgP8Bxhd9T0RERETWGbU/ExERkWJTqEhEpLheO/nNqVCIgYnwvBtcVFfDy1pb2OHz4p7jSvxQNMave4c40D3Iwb5hxuM6PzYXW9obcJ/TyVeueCGhaJS//u1jDIbn/7nI4m2o8HIqWMXZsUBe97uvupFbN+7Bbp1RAPpRTLuzobweTERkZYumbpN+C/yURVbk8Xq9JQ0V1dbWztnyLJlM0t3dTTgcxuFwkEwmcwat5/E54N3AP2FaTo0uacDrSytwL7Ct1APJxev0cFn9Vvb3HsvbPhvcVdzYfj5264zX4r8DrsNUElpt/hkTJJrliL9rRqDo8sbtXFC7MduqlwDXAHfPcZwa4DfA5skZB/ueIZFM8rvhM1zeOHWtRSUmBFn43nUiIiIiq5zFossjRUREpLgUKhIRKa6XTH5zoLc/6wpW4OrmJq5qaWJTZUVmUGKGoXCEB3qGuK97kMcG/EQTelO5FBaLBQtQ5XTyyk2b+MLRo6Ue0pqRTGstt8vXwC5fAz8/e5wDvaeWvW+7xcrzGzt4cfPm9N+TJPBJzNX36vUnIrKENl8ejwe73U4sVvxKhx6Ph5qampzL4/E43d3djI2ZjpbRaJShoSFqa2uXesgNwKcxlXf+DhM0UonH7JpZ4YGiSXur23hk4DnG4pFl72tfdTtXNO3AZpl6rREHPgB8BlitSXRf5oxwPMrD/Sd4fGj6Ndql9VtzBYrAVDi6ExNOujfHOv+HtEDR0yPdDEdGuWXDhbSXz/idDQGnF3MHRERERNYrVSoSERGRYlOoSESkeCzABZMTh4b9MxZurCjn9Vs2sbfaN2eQ6OzoOAe6BznQM8ihoaD6dSzRwT4/b94ex22fWf3JY9e/xnw6NDzMC5ubZ8zb7q1bdqiorbyKWzfuyWx3NoBpd5brxJaIyHr0Y6APaFjoBhaLBa/Xy+DgYOFGlYPP58tZdSgSidDZ2Uk0OjMzOjg4iNPppLKyMut2C1QHfAp4PfCHwCPL2dkaVAb8gmUGimKxGPF43AS6Uzd7AV572aw2zq/byAO9Ty95H41lXl7QuJ0WT3X67CTwZ5iWZ6uVF9gxORGIjHOg9xhnQoNEk6ZlnMtq54VNO9npa5lvXw7gDuDFwOMZyyykVWk9Hujh7s6nuGXDRbSWz3hMI8CbMMEiEREREZlH7k+NRURERApDZ05FRIrHCjyZTCYvsVgsFrfNhg14xcYNvKS1CZ/TmfMk2lF/kP3dgxzoGeJkcKyog16rng2M8spf/Ib2Cg+37+jgwnpzwbapWST58pXjT3NqNMTrt2yden6Px5deQMhmsXBDx04uqmvNXDQM3Ag8tOSdi4isTRHga8B7F7NRVVVVSUJFc1VH6uvrmxUomtTb20tZWVk+AirnAweBjwJ/A8pvp/wFsHs5O0gkEpw5c2bWz3DTpk04HI6pdUKhEKOjo1RUVGCz2bBYLJSVlS36ePuq2/nt4EnGYourVlRhd3Nl8y42VdZnLurHhGR+sejBlNbvY6o4+oEgsJe0SkX//dzBGRWdPHYnt264mGrXjOD2IeBdmDDVxoz9+4CfYCoSjafNbwO2Tk7c3/M0+2raMwNF9wDvwbRqFBERERERERGRFUihIhGR4okDHZZUsuLD55+Te8VkkscHRtjfPcj9PYP0TSy/dYPM5o/E8A8F8EfUJauQ7unq4pK6enb4zPmraCLB8+rb2VfTSLWzDLfNjt1qJZFMMhqLcGxkgJ+fPU44EZ+xnwZ3OW/Ydj5epzvzEJ8F/h7oLcb9ERFZhb7EIkNFDocDj8cz1WasWHKFhiKRyJxjSSQS9Pb20tLSkjOkvQhW4CPAucAbUAWVczCPx7L09/dn/fmePXsWq9VKMpkkGo1OtU4NBoNT66QHjxbKYbVxUd1m9vcsvK1tU5mXG9rPp8zuzFz0P8A7gJ5FDWJl+ABpLcjSPT54akagqNZVwfXt5+F1etJXOwi8HOgGLgQOMDtg1oRpJZj+YN8y+U0wOk5DWRVXNO5I3+YO4BWY6k8iIiIiskBWi14+iYiISHEpVCQiUlxfB/4q18LusQnuPN3LXad76VeQqGiSei9ecI60ln7n1DRxTk3TrHWsFgtep5tL6tvYWOHj4f6znAgO0T8xht1i5bbZgaIngT8H7iv0+EVEVrnjmL+VL1rMRl6vt+iholyVisLh8Lzbjo6OEgqFltsGLd3LgZ9iWjutxwSyA3h/6raszw5GR0cZGRnJuixXkCxdIBCgtrZ20cfdW93GbwdPEoxOzFpW56qgtbwGt82BzWKlzO5kh7cZm2VGQ4mHMfd/tVUnSvcUcF76jEQywVPDZ3mgz7SHs2Lh0oatnF+7EevMUN7HMYGyyV/MIeAy4DvAy9LWuxdI7zVXBnxocqJ3PMCLm3enB/7OAm9HgSIRERGRRbOqyLqIiIgUmUJFIiLF9WHACbwNmHHG610PPsUj/X59sl4CTtv0yaNYUl1OCsFpsy1q/YayCm7o2AnAmdAITw334psZKPoR8BpgNF9jFBFZ477IIkNFk+2n4vH4/CvnyVyVihYiD1WKMl0OfAz4v/ne8Qq3C/gGpjLNsi23lV4gEKCmpmbRP1+bxcrFdZv5ZffhqXlWLFzTupft3ua5No0Af4xpHbjaX56/HROMm+od+5Wn9zOeqlDktNq5vv082sprMrd7L/CPzL7/AUwVovcDFwO/Tq2X/iL694E6gGgijtvmwDNd/WkMuBZT+UhEREREFsk6/yoiIiIieaXXHyIixRUB3o35UH/q7EY4HqdrbGLVn7FYrRxpl/hE4goV5VuVw0GLx5Nt0b8DV2LaqmzDtNL4SeZK7RVeXta+PX3WfcDNKFAkIrIYdwD+xWxgsVioqqoq0HCyW06lIgC3e1aLzHx4L/CSQux4BbJiqgA+Rp4CRclkctnBtGg0ysTE7GpDC7HL14IvrZ3X+bUbFxIouhn4Kqs/UAQwQlr7uu4x/1SgqMXj4zWbL8sMFD2DqUL0D+S+/xHMxRLXYUJ36T8cC/CXkxMT8Wjm/j8EHFnaXRERERERERERkWJTpSIRkdIIYloHHAOaXDYb7zlnK+988KkSD2t9sqVd9Z5YE+eOVgabxcLLN2zkmtbWzFYaA8CNwENZNrseuCr19Xpge5Z1vsHaOMknIlJM45i/n+9YzEZer5fh4eHCjCiLXJVoFlKpyG63Y7cX7C3u/2N1t8BaiDZMkCavAar+/v4FtTibj9/vp6ysbNHbWS1Wbuy4gB+cepTxeIQL6zamL34SE6CawFTQ8QM/SM1fSy6e/CaSMMG9jRX1XN9+LtaZ7d6+CfwR5rFYqhuAcycnKh0zgn6PAZ9dxr5FRERE1j21PxMREZFiU6hIRKR0Apgrwb8LcGG9jxs6Gvnx6d7SjmodSj9/mVBUJS+cVit/ums359XWZi46DFyKCdZlkwTuSd3eBbwW+CSmupcf+BzwlUKMWURkHfgSiwwVOZ1OysrKGB8fL9CQZqqvr581L5lMLihU5HK5CjGkSVcBe4BDhTxICb0G+FfAt9wdTUxMEAqFqK2tJRgM4vcvqkBWTsFgkPr6+iUFx3xOD2/cdgVPDJ7CZXNMzh7BVEwsXmqudKZ+CLWuCizAhXUb0wNFCUwFob9jZhuzxXIAn8ixLIlpAV28fooiIiIia5DVog8vRUREpLjU/kxEpLT+B/jh5MQ79m6i2VPQE2KShZW0SkVJvTFfLp/TyQfOOz8zUDQAvB3T6ixXoCibbwHtgBeoxbTa0A9JROT/Z+++wxw7y7uPfx/1XkZTdvru7Npe27s2tsHGMWAI2KaF+lISagJOKAFiSIKT0EKAJBAggQRSXgIhdAIOMc1UB3hNccO9bZ2dXjUqo67z/vGMtJJGmjnSaDS73vtzXbpWOuV5zszO7hzp/M59t+Zu4FfN7hQMBrfhUNbz+Xz4fL51y80EimDbWp9VesV2T7AD/OjftV+gDYEi0K3KlpeXmZycZHa2vWH5rQaULoyMVr78MmdGoAjg86yFhXx2F7vcIewWa+X69689ttoH+E+Bcxus+wy6UpEQQgghhNgCi9qZhxBCCCHOXBIqEkKInWUAr2ftgobHZuM9l+zHKm/UOqqq/ZmEirbEbrHwR+cfYKT6ovANwCjwT7R2d7qBruy11QtdQggh4N+a3cHn82GxbN9bR6UUfr+f3t7euuszmYypcSpDRblcjpmZGR555BEOHTrEiRMnWFlZoVDYUpGUg1vZ+RR0ALgVXaWobfx+PyMjI+RyOYw2n1etrKxQLLbtdOCL7RroNHA38OPSi2FvFzZVFSoabMMcNuC6BuuWgD9vwxxCCCGEEEIIIYQQosMkVCSEEDtvCnhd6cV5YT8vGmvH5/rCrMq7bYqG5Fa24mV797Lb769c9FHgRcDqzhyREEKIGl8Gks3sYLFYcLvdbT8QpRQ9PT2MjY3R39/fsK1Vs5WKVldXOXbsGLFYDMMwKBaLpFIpZmdnOXLkCEtLS62GXZ7Qyk6nqFegq1adsx2DO53Ouq3stqpQKBCPN1PwsKETwE/aMdBppFw26rLefYSd3sp17ehRdz66qmQ97wBm2jCHEEIIIcQZz7JDDyGEEEKcueRcQAghTg1fAb5VevF754zgs1k32Fy0k6qoVFSQQkUt63G5eNKu/spFHwfeSmvViYQQQmyPOC1UaHE4HG0/kEAgQDgcxmrd+JzHTKUiq9WK1WolnU4zOTnZMDRkGAYLCwuMj4+broBUecjA+v5spxcX8C/AZ4H2J8UqJBKJbRk3Go22owLSVzjzKiCON1h+HPi7Nox/VYPl9wH/2obxhRBCCCEEYFHGjjyEEEIIceaSUJEQQpwaDgJPKr1w26yM+Lb1Oo+oUNn+zEDeJLfqYLgLy8nv5SHgbTt4OEIIIRprugXadoSKQqGQqe3MVCoqtWfLZrOmAieZTKbVYEocMHfgp54x4Bbg99s5qGEYJJNJ8vl8eVmxWNy2UFEmkyGVSrWya6lSzjHgk207oNPHx4GjFa9X0WGfi4HpLY4dQLd0rufdSMBcCCGEEKJtLGpnHkIIIYQ4c9WvLy+EEKKTngV8iYo73795fIb7o9tzIUZsbOs3vp+5KsNZ6ItTuR06FCGEEBu7FZgETPdbdTqdbT0Al8tlasxisUguZ/7XSSlctBmPx1Nul9aCZWAfcLjVAXbAc9DViYLtGjCTyRCNRonH4xSLRQKBALt27QIgmUxSLG5fIaBoNIrH42l2tzD6Zz7KmdmWdQq4EHgiOmB1D+05V/MCN6JDa7XuAm5owxxCCCGEEGKNBHyEEEII0WkSKhJCiJ2jgOvQ7QYUQNEw+MR9R/nykakdPbAzTeV7cckUta46U0TXDh2GEEKIzRnAvTQRKmp3paJ2VimCk61MzYaKIpGIqe028DBwB7ryy9Ta40HgbnQ7qVPllEIB7wT+sl0DGobB8vIyCwsLVcvj8Tg9PT1YrVaSyWS7pqsrkUiQy+Ww2+3N7OYEDgDf256jOi3EgW+3cbxe4PNUVFyt8Q7OvDZzQgghhBBCCCGEEI8qEioSQoid4QD+CXhtacFqPs9f3v4Qt8wu79xRnaEqwzAttkIRgMdWdVrxwE4dhxBCCFPuAq4xu7HFYsHhcJgO+WzEarXi8/k23xDzoaISM6GiSCSC273lNrMW4LFrj1ongB8DN689jtbZZg9wLrAb6AFm1/a7D92eqx0swD/SuC1V03K5HDMzM3XbjxmGQTweJxQKEQqFiMVi7Zq2rmg0Sk9PT7O7hbfjWM5Q+9EBreEG638CfKtzhyOEEEIIcWYwdxuFEEIIIUT7SKhICCE6LwJ8DbiytGB6Nc31v7yfI/EzsRPDqUUiRa3x2+08baCq4MXxnToWIYQQptzV7A5Op7MtoaJAIGC6olAmkzG1XTOVioLBtnUAa2QYeOXaA3QFoy8B/4U+/3sVcOkG+/8C+By6Aky0xWNQwEdpU6DIMAxisRhzc3MbBrCj0SjBYBCXy0VXVxdLS0vtmL6K3W7H4XBgtVpb2r3dx3MGcgMfAl4HbPSX8MfIqbUQQgghRNtZlJxiCSGEEKKzJFQkhBCddRD4b2CstOCepRh//qsHiGZzO3dUQrTIbbXS43LzRwcO4KtuQdL+q4hCCCHa6e5md3A6ncTj8S1PbLb1GbS//Znb7cZm6/jb4P3Ae9YeZjx+7fF+4B/WHs3+Xv0r4M1N7lNXPp9ndnbWVEuzbDZLKpXC4/EQCoW2FCoqhYecTicOh6P8MBtIa0A+A9maIPAd4PLKhb+cO8Rufw997nJg7zvArR0+NiGEEEKIM4JFbb6NEEIIIUQ7yQdqQgjROfuBW4Byv4/vnJjlQ3cdIleUO0zE6eOynh6eNTzCSOPWNePAf3bwkIQQQjTvISCLbslqitPp3PKkfr8fu918sRizlYpKNgucmG27dooIAu8CrgM+Cfw9ML3B9jbAC7wN+It2HEAymWRmZoZCoWB6n3Q6jcfjMb2PxWLB4/GUQ0NOpxO73b7V8FAjD27HoGeIs4BPUxEoWsmu8rPZhykaRS7r3Ve57fs6fXBCCCGEEEIIIYQQYntIqEgIITrnKioCRd+fmOMDdz6yg4cjRPNeOraXpw8NbbTJX6EvekqlIiGEOLXlgPuAi8zu0I5QUTNViorFIvl83tS2pUpFpT8bKVU+KhaLJBKJcjuvwcFBPB6P6WPrMD/wp2uPGeBbwDeB/wEG0W3WngxcgW5NtWWGYbC4uNhSpaFSmCidTm+6rc1mY3BwsC0/WyasArd3YqJHARdwLrr9Xj/wGvTPWfkzpPuWJ7h5+gEAfntvVeGi76FvpBBCCCGEENtgW6L3QgghhBAbkFCREEJ0zg3Ae4EQwPnhAEGHjZWsuYtlYvsopG6wGc8YGtosUHQPuqKCEEKI08NdNBEqslqtWK3WpqrWVHI4HLjd5jMvSimUUhiG+YqOSiksFgvFYrHu+lgsRjqdJpfLVW0zNTXF7t27d6I1WrN2oQMerwEW0dWM2nrQ+XyemZkZVldXW9q/FBDaLFRkt9sZGhpqqnLVFt2CDtOJjf0B8AGgq9EG9y1P8KPp+wE4GB6my1m+b8JAh9+EEEIIIcQ2kfZnQgghhOg0CTULIUTnTAAvBYoAA14Xf3nJfqzyRnDHVf4VNHPh8kyyx+/nhbv3VC66A/gt4LXAYeAo8Mc7cGhCCCFad1czGyultlRRxuv1NrW9UgqHw1x3tsoKRX19fezZs4c9e/asa6FlGAaZTGZd6KhYLDI1NUUud1plTiK0OVCUSqU4fvx4y4Eim82Gz+fDMAxSqVTD7VwuFyMjI50MFAH8cycnO01dgW61VzdQtJJN8d2Ju8uBIpuycmnP3spNPkWT/68IIYQQQojmKGXsyEMIIYQQZ65T/jZMIYR4lLkJuB74IMAlPSHecN4ePn7f0Z09qjNcZaeUIvImuVa308l15x/AdvLC7ARwNbpCAugLSEIIIU4/TV/8dzqdLQdOmg0Vga5ulMlkNt2uMlTk9/sBHSCy2WzllmebSafTHD9+nL6+vvIYZwrDMFheXmZhYaHlMaxWK0NDQ1gsFhYWFhp+3z0eDwMDA+sCX9vsF8DXOznhaep6WF/CczK5zH3RCR6JzVCsCOBf2DWMx1YO/q0C7+zIUQohhBBCnMGkUpEQQgghOk1CRUII0Xl/h2418tsAL947yMMrSW6amNvZozqDWSouRBYlU1TFZbVy3YGDBE5WiigA13IyUCSEEOL0dXezO7TaHkwp1VTrsxKzlYpqKw8ZhsHi4qLpQFHlONPT0xiGQSAQaGrf01WhUGB2dpZEItHyGBaLhcHBQRwOB7FYjKWlpbrbeb1e+vv7Ox0oAt2SS87yNhYBrim9uHH8DiaSSyilyBXXtzy0KSsXd1dVsfwEMLPtRymEEEIIIYQQQgghOkpCRUII0XkGumXUucBjAP7kwn2MJ1Z5INr6xZxW2S2KJ+6KcFlvGIfFwnw6Qyyb566lGPcsxTp+PDuhqv3Zjh3Fqen1+89lsLqyxLXAd3focIQQQrTXIjAL9JndwWq1tjSRx+OpqiZkltlQUSaTwTAMlFJkMhkmJyexWCzlAMv09PS64NFGZmZmcLvdnW7P1XH5fJ6JiYmmw1eVlFIMDAzgcrlIJBLMzs7W3c7v97Nr166Wfg626I3ATzs96WnoBUD5B35ydZm8UWx4cnxpzxgua3nzBPA3232AQgghhBACOh7PF0IIIcQZT0JFQgixM1aB5wG3Ad1Oq4X3Pe5crv3Jr1nK5DpyAH67jacOdvOKs4bpdTvrbjORTPHFQ5PceHzmUR22qfzadqKCsNdm42V793Gwq4tcsci9y0s8GI1yy9wcXpuNdKFAwej838Djuru5MBKpXPQB4NMdPxAhhBDbaYomQkWtVioqtT7LZrNMTk7i8/kIh8ObjudyubDZbOTz+Q23KxaL5PN57HY7TqeT0dFRLBZLOcDidDpJpVAIVJ8AACAASURBVFKbHqfVasXv9+PxeFr+Wk8XhUKBycnJtgSKPB4P8Xic6enputsFg0F6e3t3IlB0PbqCjthc1Q/CBeFhbl88VnfDLqePiyK7Kxf9E1LFUgghhBCiIyzq0fwprRBCCCFORY/uT0mFEOLUdhx4EfADwNrrdvJXj93PW265l/w2Bkj2+D08ZaCbl+wdxGPbuNrAkNfNn1y4j6cN9vCJ+4/y4A5UUuqEYsX3u9N9ya1K8baDBxnzn2yx8qRd/TxpVz+/e/Y52C0WVvN5Pv3wQxxLJFjN50kXCvjtdsIOJ0uZNCu59gfRnBYLL9hd1dLiO8A72z6REEKInTaNbstqSqtBG4/HA0AsFiOXy7G8vEw0GiUYDNLV1dVwXLvdzujoKDMzMySTyQ3nyGQy5cpClRWVDMMgk8lseowWi4Xh4eF11ZGy2SzpdHrdtjabDZvNhtVq3YmwzJYUi0UmJydNfV8asVqtDA4O4nQ6iUajzM3Vb+UbDofp7u7u9PdoHngb8J+dnPQ09zng+cBzAc4JDjQMFT2ma6SyffAh4L0dOD4hhBBCCEHnP7sUQgghhJBQkRBC7KybgeuAjwFcEAnyloNjfPjuw22f6Oygl7ccGOOCSLDe6izwVXS1glcDR4HHsVa456LuIP/2pMfw0+lF/vvYNPcsxTkr6MWiFLFsjkS+QCybI10oloNKq/mC6WMLOexcNdTDUwe6GfV7WM0XOBxLctt8lNsXVvDarBxPrLKS3bhKQauKFRkuq+psEeEr+vqqAkWV7BZ9LB6bjTeed37DMY4n4nzj+HHuWGzfDeJX9vfTv3YBGF3M6S8A831jhBBCnC7ql5ZpoJVQkd1ux+FwYBgG8Xi8vNwwDKLRKCsrK4RCoYaVi6xWKwMDA6ysrDA/P4/RIHzdqOJOOp021frMMIx12xWLRaampjas5qOUwuVy4fF4cLvduFwuLBbz5xOltm2dUgoU1QalmmG32xkcHMRisTA1NdUw8NXV1UUkEunk15cDPoOuULTUqUkfJQrAn7AWKoq4fDgtNjLF6vNvm7KyL1BV3Oy96CqsQgghhBBCCCGEEOJRSEJFQgix8/4RXSHgdwGet7ufR1aS/M/xmbYM/rieEC/bN8QlPaF6q5fQd3B/DDiytuxP1/58KrpdxNmljZ/YH+GJ/VXtsKrki0VsFRfRMoUCh1aSfPXIFD+cWli3/eW9YX73nBHODfurlvvsNnrdTi7v66paPplM8VA0wXImx83TizwYjZMubD3nUtlazNrhSgNDHm/toi8DY+hQlymjPj9vPv8A7//1nTwSi5XH7XO7OZqIs9RkFYKQw8FzRkYrF30RuLOpQYQQQpwumgoVlVqKNQr21FOqUpROp8nVqa5nGEa5clEoFKKrq6uq0hDo4E4oFMLtdjM9PV035FO7T8lmFY4qj2NqaorR0dHyWHNzc5u2BzMMg1QqVW6vppTC5/OVj3cjqVSKmZkZ0+3gtsowDKanp021gmvE6XQyMDDA6uoq8/PzDQNb3d3ddHV11V3XZkeBnwE3AjcBsU5Meoo7FxhGVxEaB8wm8w9VvnBa7etCRWP+HpxWe+llAvj6lo5UCCGEEEI0RSoVbZ1Sahh9I8LvACHgPsMwDrQ41gHgVcCVwD7Aj35P8jDwY+AzhmE83IZjvhx4OXAFsBvwAFHgfuD7a/NMbnUeIYQQoh4JFQkhxM4zgDcA5wOXAlx3cIyj8VXuWWr9mohVKd5yYIzn7+mvt/oQ8Fl0mGilwRA/BPYDzwT+du34NmSruSvfabVyfleA87sC2O54iJsm5svrnjncy59ddHbtEBsa9LoZ9OqLcy8cGwAgns0TzeaIuOxMr2b4+ewSP55a4HBstSostJHK7Wwdfmdec4w/QYfLUugLQT3AC4G3A/WulCYAX+nFJd09PBKL8fzR3Tx39GQoaDKZ5Gezs9wyN0ssm6VyRofFwpjfz7DXR8jhoN/j4TGRSGVLC5BAkRBCPJo1nWK22Wx1w0GNeL06QBuLbXxeUwoXra6uMjIyUre6jdPpZGRkhPn5eVZWVtatq2d11XwRlXw+z9TUFENDQ8Tj8U2PuZ5SRaZ4PN6wUk82m2VhYYFEQreWrQxVbVe4qBQoMhuyqicQCBAOh5mdnd3w+9rb20soVDfQ3ioDHYC/H7hv7c/7gQeB1r+g098Q8EbgKqAffWGh3jd+HngLOii+kaofvGKdc+led1XV069zZn//hRBCCCE6rv6tFMIMpdQo8Gfoz18r+1776u+x4Vg96M/WX1pndRfw+LXH25VSnwLeahhGooV5xoBPAlfXWd2DDjNdCbxTKfUR4N2GYZh/wy6EEEKYIKEiIYQ4NaSBFwD3AGGbxcJ7LjmHF37/1pYGu2qwh2vPHaXf46pddQfwTuDbJocygG8BP0IHXh5bsS4LzKLfvKybqNYlPaFyqOi3Rvv44wv21W4yCXweuAEIAk8Gng1seJeI32HD79C/zvYGbOwNeHn5WcMUDINj8VXuX47zwHKc2xaiTK/Wr9iTqmjV1uf21N1mu5wVrLow8yR0+4hno7/vJ9B/Z/+IvgPl1+jvtQ99AWcZfWHtXIBdbjfXX3Ah+2su4g16vbxkbIyXjI2RLxbJFous5vNkCgX63O51YbAa08BXtvyFCiGEOFU1VakImg8VeTyeda3PNpLJZCgWiw0rD1ksFvr6+vB4PMzOzlIsFnE6nTidTvL5PIlEgmAwiFKKQqHQdJuvVCrF3NwcHo8Hi8ViqnVaI0tLS1gslqqKPel0mhMnTqyr9mSmYtNWZDKZcoipWQ6Hg97eXjKZDOPj4xtWqtq1axeBQP3Wri14Bfpc5yEe/S22zkffefwg8CWg3omrA7gGuBAd/n8BsHE5LK0H+Gs2DxW9uvSkaBRJFdZX6XJaqj5Gau0HSgghhBBCtMyizFeNFZpSajfw5+jzXftG25ocbz/wPfRNoaDfq3wNuAUd6N+F7gLw7LX5rgWuUEo9zTAM0+/BlVJPAP4HCK8tiqLfK9y+9nwQeNbaXE50YOoJSqlnthJgEkIIIRqRUJEQQpw6JtGtyN4MkC+29gbxZfuGeN15u2sX3w68Ffgp0MrAKfSbku9XLBsG5tae29EXK4LA4tocc5UDzK4Feuoc3yz6zc8dNcd209qcjrXlZ3PyDo/nAd0bHbBVKfYGvOwNePmt0V0APLyS4MHlBI/EEty/HGcimSbosHFpb7i83/nhML+zdy9fOHx4o+Hbpr9+W5Rvou88L5WsnebkRd8UOkxUMlB68phI49Z0JTaLBZvFgmfzCggrwIfRLfAWNx1YCCHE6arpUFEzQRe3243FYikHhcyOb9k48AqA3+/H5XKxsrJCKBRCKUU+n2dubo58Pk9XVxfLy8ubjlPPysoKDoeDsbExjh8/3lSIqtbi4iKBQKBcfSiTyWwYyimFixKJBCMjIxSLRbLZbLni00ZyuRzRaBS3210ORZW0Eo5SShGJRPB6vczNzW3YNk0pRX9/Pz5f0zf51vN24IPtGOg08QTgB+gLAQBvA/4O3bZsCB042oMO24frDWDC+CbrX48OsgMwkVyiYKz/mZlLxziPwdLLVwDvo4X/R4QQQgghhOgEpdQe9E0KlWGiFLrok6PuThuPtwv9GfnQ2qKfAy8xDONEzab/pJQ6H/gq+obQ84CblFKPNwxj0xsmlFLnoW86Ld2x8T/Aqw3DqH2T+w9KqSeiw0YDwBOBryulnm4YdU7ohRBCiBZIqEgIIU4t5TcfxxPN3Yy9Qbuzr6Dvwmh8Fcic/0W3THsG+iJHZWgoB0ytPUoWgXLK5Yn9ES6MBLmou6oyzyT6buv7Npi3dIv0fWuPT6HbPFyI/j3mWXvE0a3angBcBqy7Gnl20MfZwc0vdF09OMRPZmaY2EJ7ELO89oY3xwxzMlS0kRPoMFetceD56HDQ29A/A43uZE8CtwKH0Xe5PIj+uWm9/54QQojTRUuViswqBWGaCeX4fL66rc/qsdvtdHefzBk7nU6sVivLy8ssLS2ZnrOe+fl5rFYrAwMDHD9+vOVxDMMgmUwSXKtOGAgEyOVyrK6ublhFKZfLkU6nicViJBIJBgcH8XjqV1Q0DIOVlRUWFhYoFossLy+jlMLr9RIMBvF6vXg8Hvx+v+mKUT6fj+7ubhKJxKbViSwWC4ODg7jrh6WbUWoL/M9bHeg0YkEHuSv79x0E/sPMzulCjtvmjzCbjmEYBkopfrP/PMLOqhDaj4GXNRjChq5i9MelBal8lpunH6DH5efy3rMIO7w8EJ3ktoWjPLQyzeN79+Gy2gH8wN8DLzH7xQohhBBCiK2xmHurJE4KogNFBvAz9Hn2V9EhnStbGO//cjJQdB9wdaOqQIZh3KeUehr6c9cB9Hn+B4E/3GgCpZQNXdG/FCj6EfBCwzDyDeb5qVLqGnTAyYduj/xW9Gf4QgghxJZJqEgIIU4t+0tPjifMZ4B8Nivvv/RcLu6uans1g+4PfROtVSeqlQNe1cT2j1ARKtobWHd3/RH0G5wjLRxLFv1mrNbNa3+6gL3ocNGl6LZi55oYt8Baa/L3XfJYsgXdFu3OxUU+/cjDpAsF7BYLv9Hbyy63h7uXl3ggGm3h8LXLeno2Wr3Z3eQlbwZuBErf4Hn0RaMfob8e0Bfn3oR+E92DfnMZRL8xnUJXiar7plQIIcSj3kyzOzQTKiqFYLLZ9W2UGvH7/c0eUplSij179mAYBidOnGhq3nri8TiBQIBQKER0C7/zXa6TnWKVUuUgVDKZZHFxsWG4KJVK4Xa7icfjTE1NMTQ0VDUW6O/t7OzsuipChmGQSCRIJpMMDw/jcrno7e0llUqRz9f/te90OvH7/fh8PgzDYHp6mkymfvvYEqvVytDQEE6nc8PtTCigQ9Cf2+pApwkbcDnwAfT5qin5YoHx5CIr2VXmUjGOxufJGSdb+YYd3tpA0ceA64B6dymfi75YcVFpQSKX5sbxO+h2+blm6AKsSuf0L+vdx25/D3csHOOX84e5clf5bcuL0eflcsFCCCGEEKIDJFTUtHF067MvG4ZR/hza7I0slZRSV6Mr7pe8erM2Y4ZhTCml3oRujwbwOqXUxw3DeGiD3X4PeMza8wzwykaBoop57lVKvRt9wwLAO5VS/24YxtbuthFCCCGQUJEQQpxqyp/Oj8fNVSraF/Dy3sfuZ9hXdWf4reiqPQttPbrmXAu8F7gC6K1Z90104Gm7ji/NycpG/7627Dx0+deD6BZq56PDR6BDVz9HB2z+T2kQx1p7l8t6e8kbRf794Yf5swsuZCygbxJ5xrBum/0Xt93K5GpzlaX2B4Nce87+RqsnqGkft4EfA2ehqxLl0W9Q67UrKwBLaw8hhBCiJI2uUhfabMMSs+3PrFZrOWhiNtxjt9u3XO2m1PJraGiIiYmJLQWLUqkUuVyOrq4uYrFYSy3Euru7GwZuvF4vXq+X1dVVlpaWWK05n0gmkwwODjI3N0exWGRiYoLh4eHyeIVCgePHj2/aTm1hYYGhoSGsViv9/f2cOHGyMr/L5cLn8+H3+7Hb7RiGwdLSEouLm3c/tdvtDA0NYW9cedGsLPBS4IatDnSaeCI6PDVSufBQbJa7lsY5LzRAnzuIRVmI51IspOMsZZIkcmmmU1FyxUL9UQGndd3HPD8E6l0xGUG3Ri7fBLCQjvOtE7/m3NAAl/bsXbdDnzvIM4YvZDa1wvRqlH5P+b+ND6FDSx/Z7AsXQgghhBBbY5VQUVPWQjV/3abhrq94/h3DMG4zud8N6M+pz0ff0PrH6M/O11E67fT2ikX/bhiGmWr2AJ8E/gzoRt9M+nrg/Sb3FUIIIRqSUJEQQpxamqpUdCDs56OXH8Blq7q490Xg94EN75LogHuBF6B/1zwZfReHA/gGuu90O6onNeP+tUeJBV21x4oO8OTRLRy60cdb5Yq+XeSLRjlQVOn9j30cr/7J/65brqj/RTosFl57zn5slnKHtgV0G7g+YB86GNRM5aBp4BNNbC+EEEJUmqaJUJHZSkUej6d896fZ9meGYZDNZhuGcErtncwe5+joKNFolMXFxZYCQcVikampKUZGRtizZw/xeJyVlZVNq/eUuN1uwuEwAPl8nnQ6jd1ux+FwVH0dHo8Hj8dDKpVicXGxHC7KZrPlcFYmk6kKFjkcDqxWK6FQiOXl5Q2PY3V1lWw2i8PhwO12Mzo6SjqdxuPxlANBuVyO5eVlVlZWTAWxnE4ng4ODTVWuaiAFPA/43lYH6iAb8Jvo0Pov0eF0s14F/Cv6vLhsOZPkR1P3kSnmmVmNYlWWqgpEAFZl4ZLuPez195It5nkkNsvh2CzJ/Mmfx4V0gkwhh9NaDnp9A7gLeDn6/LzkD6gIFN2/PMmvFg7zlP7zGPV1V2xGDn0BpHSnNH3uIP919FdcNXiAoKPcku/DwD3o83whhBBCCLFNpFLRzlBKDVP9mfFXze5rGIahlPoaOlQE8GKl1JsMw6hXsvYKYKzFeVJKqW8Dr1xb9EokVCSEEKINJFQkhBCnjm4qPtgf3yBUZFWKNx/Ywwv2DFQuNoD3AO+jfnuDnZIHfrD2OJUUgdmaZXHgKegLqz7038fX0K3UuLK/v+FgH770MpYyGYqAz2aj2+WiaBjccPwY35usvpnk6sEhuk+2LsmhA1d3bPkrEkIIIVozjbk2oYD5UJHXe7IFk9lqQfl8nvHxcXbt2rWuDZphGMzMzNDf38/U1BTpdJqenh78fj+5XI5isbgujKSUIhwO4/f7WVhYIBaLmTqOSplMhtnZWXp6egiFQoRCIdLpNLFYbNPqRaFQCKVUuR1bKVxls9nwer04nU6cTme5OpPb7WZoaIhUKsXCwgKpVIpsNovH4ykHmQqFArFYDJfLhd1uJxKJ4Pf7mZ6e3jC8FYvFym3XnE4nDoeDbDbL4uIiiUTCdFDKarUSDocJhULlqlBbEEOfB/1sqwN12LfRbXxLvoKutNQoNG8BPo6uLFl1QpnIpbk/Oskdi8cY9IR5bPcYfe4AFmUhU8gxkVzi53OHWM4muWrgAGcFd5X3HfCEuXLXflL5LCeSi/xy/jDR7Co/nLqPpw9diOVkcO1C4BbgRejWyKVlANy+cJQHopM8d+SS2tZpDwMvRIeRXk9FiD2WS/Gr+SNcNXigcvvnIqEiIYQQQgjx6PR0qiuANntTxE3Au9aeB4AnUP/z8mdUPF+l+fdKN3EyVHS2UmqfYRiHmhxDCCGEqCKhIiGEOHWUqxTFsjmi2foXhewWxZsPjPG83VXXIwzgOei2YmLromuPCeCt6Du8NxRxuYicDAqV/c7efQx7fXzpyGGSeV186LKenspNPgr8qg3HLIQQQrSqNmS7IbPtz0pBGcMwKBQat2uqZRgG09PTZDIZIpFIuaJPKZhkGAbJZLL8p8/nY2Zmhnw+z+7du+tWMrLZbOzatYtQKMTc3BzpdL0bQhuLxWIkEgmCwSDhcBiXy4XL5aK7u5tEIsHKygqp1PpAuMejq7hkMpmqwE8+n2dlZaX82u/3093dXa4a5Ha7GR4eJpvNopTC6/VWVSNyu91MT0+XA03hcJje3l4mJxtXxS8WixiGQTqdJpFIkEgkTFeQAv333tXVRTAYbEeYCHS71muA29sxWAe5qQ4UAbwYeBB4d4N9XgK8oXJBKp/l2xN3MbWq/17PCw3y1IHzq3ZyWu3sDfSxN9DHodgs+wJ99Q/I5uDsYD+jvm6+N3kPh+NzfP3YrVzSvYc9/vJ5px8dhvoX4GbgaaUVNouVl4xdjt1S9W/768DvAaUf1KdUrnz53itwrG+19nCDr18IIYQQQrSJRXW6+LtY8xsVz6NNtCQrub/m9RXUDxVVzvOIYRjm37Q1nkdCRUIIIbZEQkVCCHHqOKf0pFHrs7MCXq6/6CzODvpqV70HCRRtly3fOf/EXbs4Pxzmo/few4lkknB1FYWFrY4vhBBCbJF3801OMozNP8RWSpUrGpnZvp6lpSWcTiderxelFKlUCpfLhVIKh8NRbge2vLxcDvTE43ECdVqVlrhcLoaHh4nH48zPzzcVdirNFY1GCQQChMNhHA4HgUCAQCBANpstVy/K5/N4vd5yAGuzeeLxOPF4HK/Xi8/nw+12l9ukgQ5FlSoelb6OygpJ0WiUrq4uIpEIi4uLVWMrpQgGgzidTo4ePUo+30yHVT13OBxuZ5gIYAYdarmvXQN2UAr4FPCamuXvQn89vwAG0FUos+hWu39dO0g8l+asQB/xXIp4Ls3B8PCGk9YEiu4Gfg08E13tFNAhpGcPX8Qtc49wx+IxvnniTvb4erh66CAOiw10xaTXrz3KLuwaqZ3uPcB7OVl56SnoKkdldQJFNwL/vOEXIYQQQgghtkzan+2Y/RXPH2l2Z8MwokqpBU6ev5/TYNPKeVoJ7dceW6N5hBBCCNMkVCSEEKeO8huGeq3PXnPOCK88e7iyjQHoCwrPBk5s+9GduZaBAvqCUCNvA46iW6YpdBu1NLpn9UUAXU4n77roYj5y7z0cSyQ4EA6X9v1bwA58EN0qTgghhOi0xv096zATSrHb7XUrBjXLMAxisRhOp5NUKkUoFAKgu7ubycnJcsWdksXFRXw+34bhF6UUgUAAn8/H0tISy8vLTQWfDMNgZWWFlZUVfD4fgUAAj8eDw+Ggu7ubSCRCsVisqujkcrmw2Wybfu+SySTJZBLQLcr6+/txOBwopfB4PCSTyXLIKhKJkM1msVgseDwerFYrkUgEr9fLxMQExWIRr9dLOBxmZWWF2dmmClJhs9no6uoiEAi0M0wEcBwdKDqd75Z9Lfpc7401y79c8fxhdEWjZwCjtQP0ugP0ugOM+Xv58tFfUPOv5aPo88M/rDN3Bh3yWUKfd14MPBkdAvIopbii72wiTh8/mLqXo4l5vnb0Vp45fCFBh2ezryuObpXw3xXLFPA3DbZPAcfQrdX+CB2iEkIIIYQQ28hc3dj2U0q5gPVl2rcubRhGc6Vkd0blOf18i2PMczJUtLt2pVLKCeyq2b4phmEklVIpdIXVuvMIIYQQzWrrJ4NCCCG2pCJUtFq14tVnD/Pqc0ZqA0X/gu69LIGi7fUWGr9f/0/gWcBHgBvWXn927fl3gMuA64EigN1i4VVnncXnDx0ifrLdiEKHj34BHNymr0EIIYTYSNtDRZWBIovF0nIoJZPJsLy8jMViIZ1O41yr9lcK3tTK5XJMT0+bCglZLBa6u7sZHR3F622qWFNZIpFgamqKw4cPMzk5STQaJZ/Pr2sRZ7Va2b17Nz09Pabbx2UyGcbHx8tfa+kYk8kkR44cIZvN4vV6cTqdZDIZJicnmZmZweVysWfPHvr6+igWi0xMTBCPx01/TTabjd7eXvbs2UMoFGp3oOg+Hj3l97+8yfqzgfcB5260kc/u4mkDB2pDeHeiQ0u1FtGBrKW11wa6fdyHgUuBI6UN94cGODc0CMBCJs7nDv0/bp5+gIV0nIJRpI454IlUB4oAXrA2dq0cOjx/HjpklaizjRBCCCGEePS4Hn3zZbsf13fyi9iCYMXz1YZbbaxyv3oldmuXbdc8QgghRFMkVCSEEKeOcqjoePxkpaIr+rp4zf6qm5tLdz2/Dn03sdg+V6LvFG9EAd/eYH0OXYnoDaUFu9we0oU8H/j1r5lLVVWkugTdJuMjQFV/CyGEEGIbWai+E3JTZkJFtduUWqE1a3l5mVwux9zcHEopLBYLyWSSaDTacJ9kMsn8vPkbOh0OB4ODgwwODpbbjTXLMAySySRzc3McPXqUY8eOrauAZLFYCIfDjI2NsWvXLtxu9wYjasVikcnJSdLpdFXwqVgsEo/HmZmZYW5ujqWlJZLJJC6Xi0KhwOTkJLOzs+W2cGbY7Xb6+vrKYaJ2VJqq8XPgScBkuwfeIQ+Z2CaIruRTyQBuBr5YWjDq66bb5a/cZhb4R+ABdDj9RvTNBLtp3Jr3PuBydGs5AAY95cqYFDG4Z/kE/3XsVzyyMlO77yTwVOCumuV9wD80mO+fMPc9EEIIIYQQbWRRO/MQVVWazL/Rqla5X72qT7XLtmseIYQQoinS/kwIIU4NTmCs9KLU/qzP7eQdF59dud3DwOPRd3GI7TEKvBz4FXDdJts+2eSYmaoXxSLL2VXee+cdvHTvXp7QV76Wa1ub86XoKkdShUoIIcR2i9Dk+8JCoWBqm0KhUK7K43A4yGZb74xUCsfk83lTlXOi0SgOh6PcLs0Mr9eLx+MhGo2yuLhIsVi3mosp2WyW+fl5lFLrjqHUfi0QCJDJZIhGo8Tj8YbzKaVwOBxYLBbcbnfDoFA4HMbj8TA+Pk7uZEXETdnt9nKbs20IEpV8B3gRUL/E1OlpzsQ216ODN+cB16BDQm9DB4BKgb6n1OxzBB06yq7tZ0W34jVjEZheG5dkvuoUlKDdzXNGLyFU3QZtEh2kP1wz1jD6722wzjxzwHtMHpMQQgghhGgjizLfulm0VQ79GT4Vfzarcr9MnfW1b+S2ax4hhBCiKRIqEkKIU8Ne1qrH5YtFplbTWBW8+5Jz8NnL/1UngOcjgaLtZAV+REXAaxNmL/CUyx7MpFZZXaveYLNYsKu6F0b7gWuBd5kcXwghhGhVU63PwFylItCtwYJBXSHe7XaTSGy9O1Imk8Hj8WC1WjcNN83NzeF2u3E6ncTjcZaWlhgaGtqw/ZhSinA4jN/vZ3FxkZWVlS0dbzwe3zDY5HQ66evro7e3l1wuRyqVIp1Ok0qlyiEswzCIxWKEQiEikQgTExPrxvH7/fh8Pk6cOGEq9AU6TBSJRPD7/dsZJgL4AvBq1n9A/mj3EDpEBPD7ddYXgecBHwNegf6w/wbgz9GBohKz55sAf4duSQbAwyvT5RXdTh/PGbkEr73qusT/osPstaWLFPBfwPkN5nkHsLV/HEIIIYQQoiXWnasa9DfA32/DgiJ94gAAIABJREFUuPXa/p6KEpwM67TWP7t6v3pvkGuXbdc8QgghRFMkVCSEEKeGcuuziWSagmHwmnNGONhV1fL4dcD9HT+yM0uQ+oGiE8Avgf9TZ7kZ5dIDC2l9c8igx8N1Bw7S7WpYgdbTaIUQQgjRRtsWKorFYuVQUSgUIp/PE41Gq1qCNSuXy6GUwufzmQr8rK6u4nQ6UUqRyWQ4cuQIQ0NDm7Yes9ls9PX14ff7mZmZMf0110qn0xiGsWlop1SNyOFwlL9nxWKxHDAqze/xeMrViiwWCz6fD5fLRS6XY2JiwtT3toNhItCBmeuoOBd6lPk08LsN1v3UxP4xdODqtWuvW/tB0yGgDwJ/VFpwKDbLQkZfPwg7vDx39LF4bFXt/f5q7VEv7LUbuLTBXLcAn2rxOIUQQgghxBbtVCsywzDSnD4BoO0wga70S8Wfzarcb93nyoZhJJRSK+jPqFuaRynlBirf8EolfCGEEFsmoSIhhDg1lENFJxIpBjwuXn7WUOX6/wQ+3/GjOvMsAT8HLq9ZPgz8M/A99J3mA8As8FaT45av8FmAEa+Xt19wIV67vdH2KeA/zB+2EEII0bJtCxWlUikymUw51NPT00M4HGZ5eZmVlZWW2ostLCxgt9tNhYpcLlc5oONw6DCFYRicOHGC7u5uurq6Np3P4/EwOjrK3Nwc8Xi86eM1DINsNovT6SSVSrG4uEgul8NisWC1WrFarVgslroPpVS5NVll+MflcpFKpQgGg6TTaWKxmKljsVqtRCIRgsFgJ8JEReDtwIepOA96FLp7g3WTTYzTapgI9Oc6HwHeVFqwkk1x87QukrTLHeS3Ri7GZS2fdxbQIabPbDDmeRusu55Hb0hMCCGEEEKIRh4BLlx7flazOyulfEBfzXiN5nlsq/OgOyJUvuFrNI8QQghhmoSKhBDi1FBRqSjFn110FjZLuS3WOPCGHTmqM9MLgR8D59Qsfz/wAeBKYLXJMcsXXrpdLt528ILKQJEBvBcdHDsPGAK+Cxxt+siFEEKI5jUdKjLbXgtgcnKSkZERbDb91tNms9HT00NXVxcLCwtNtxcrFotMTk6Ww0IbCYVCWNbOp0rzlywsLLC6usrAwEB5m0asViv9/f14vV7m5uaaDkOlUimcTifLy8usrjZ7CgEWiwWn04nb7cZutxONRgFYXjbXEVcpRVdXF+FweNOvtU0eRlfY/HEnJtth5bZhs6kVFtMJzgsPlhZd0aFj+BAVgaKlTIL/Pn47qUKWoN3Nc0YuxmmtOu/8XfR550Ye12D5bcDPtnrAQgghhBCidTtVqUjwC05WsY8opXoNw5hrYv/9Na9v2WCeUqjobKWU1TCMZloim51HCCGEMK0jnygKIYTYVPlk/0n9ER4TqbpQ9nak93EnTQMHgL+ss+7PgZto/vdnqd82vW43QUe59UQBeBHwHuAwcCPwSSRQJIQQonOaChUZhtFUqCifzzM+Pk4qlapabrVa6e3tJRQKNTN9mZkwUmWAplT5p9Lq6irHjx83PWcgEGB0dHTT1mm10mndIcBqtTa1X0mxWCSVSrG0tMTs7GxT7eOCwSB79uwhEol0IlA0BbwZOMiZESiCitZhFqU4mqi6pvA09Pfhw8AfoitdttsTqGh5Np+K8bVjt5LM63a7j+/dVxkoygIvZuNAkQ14H/CuBus/yKO78pQQQgghxCnPonbmIfh+zeurm9z/aRXPM8BPTMzjZ31F/WbmmQLubXJ/IYQQYh2pVCSEEDtPUVEVZ9BbdaHqC8CXO31Agjw66PMg8MWadU8ALkO3P9uP/vvLAbcCpZIBe9AVjYLAGPA7Deb5feBrbTxuIYQQolmvamZjs63PavcptRwLh8PlcE+pJZrL5Wo6LGNGMpnE5/OVXyul1s2Ry+XKLdry+TzLy8vk83msVitOpxOfz1cVBrLb7QwNDRGPx4nH46yurm563MlkkmKxiMfjaboyU6t8Ph/d3d3ltm/bbAL4a+DfgXQnJjyFLJSe+O1ujsbnmV6N0u8ph+WevPYA+Cj6vP5dwJE2zD1MRXvkRC7NN8bvIF0o55zoc1fdqOBAB90V0IUOtu9de+4DBtHtHHzUNw3c0IbjFkIIIYQQW2BVkvHeCYZh3K2Uugd9EwXoqkWfa2KI51c8/4ZhGI3eHH4XWAQiFfOYqhaqlLIBz65Y9Dmj3W+0hRBCnJEkVCSEEDvPDwTqLD8GvB65G3gnfQlYQlcnqlSvbGwUHSSKoN/8bXYV7xvoi29CCCHETrFT/xykoWaqFNVaWFgglUoxMDBQFSwKBAK4XC5mZmbKVX3aYWVlBb/fj8fjAXS1otrWZTabDafTiWEYTE9Pr6uoNDc3h8/nIxKJlAM6mUyG1dVVvF4vPT09pNNpEokEyWSybsCoUCiwsrJCINDUt7olLpeLnp6epqsptWgc3Rr2M+g7bc9E96DP1ZXLamfI28X3p+7lt4YvIuz01m5rA14GPAsdNLprC/P2A4dYO98sGgbfnbibVCELwP7gAI/pGiHo8NTu9zn0nc7XAPs2mmA5k8Rrd+KwlD82+gw6eC+EEEIIIcSZ6kPAZ9eeP0cpdaFhGJue1yulrgQurVj0wUbbGoaRVUr9A/DetUXXKqX+xjCMmUb7VHgZ+mYB0Dd8fMzEPkIIIcSmpP2ZEELsvDhwos7ya4FYh49FrPc9zFVxCKEvDv2IzQNFIG/qhBBC7Lw3NrtDK5WKKiWTSaLR6LrlDoeD4eFhuru7W27T5XK5GBio7jA1OztbDhLVaz82NDQEQDweXxcoAt3uLR6Pc/z4cWZmZhgfH2d8fJxYLMbc3BzHjh0jl8vR39/P3r176e/vx+/3r2u1try8jNVq3bawj91uZ2BggOHh4U4Eio6iz1PPAv6FMzdQBDp8/vPSi26Xn5XsKp8/fAvfHL+TX8wd4t7lE8RzVT9bIXRlp2b1oS8+fArdwqB8vvmLuUeYTul/Vxd2jXDV4AF63A1DbG9kk0ARwLdO3Em2UPXv/YctHLMQQgghhGgzyw49BKArhd629lwBn1FKrbuboJJSyo9+31QewzCM2zeZ56PomzgAPGvzbNhPWyk1RHVY6cOGYUxuMo8QQghhilQqEkKInWcAH6f6pP/LwA925nBEHZ8FBqi5ADSfTtHj2vjC3U9mpjkaj9PjcvPM4eHS4vuBH2/HgQohhBAmWYC3N7uT2VCR1WqlWCzWrdzTaAylFF1dXYRCIZaXl1lcXGzq2Hw+Hz6fj4GBAebm5igUCuRyOaLRKF1dXetCRcFgEIfDQbFYZH5+fsOxDcMgFquf9V5cXCSRSNDd3Y3P58Pv91MsFslkMhQKBSwWS7nKkcvlqhteapXVaiUSiRAMBtcFmbbBYeB96A/Sc5tseyZ5APgNAKfFDoCBwdHEPEcT+ufKrqy89pwnY7OUfwb3NDnH+cB/UycM9EB0itsXjwFwcWQ3V/SdvdlYPwGetNlGj4nsrqxSBNB6mTIhhBBCCNE2lm0/7ReNGIZRVEq9HPglEAQeA9yklPptwzDW3TSslBpGf85/ztqiI8CbTMyTWJvnB+ibCa4BvqaU+j3DMJbqzHMA+CrQu7bol5ysdCSEEEJsmYSKhBDi1PBvwJ8C3eg2Wm/Z2cMRdfwt8DjgBaUFdy8tsZjO8OKxsbo7/M1dd/Hgir5r/OV7q64B/RBpayeEEGJnHQR2NbuTmVBRT08PoVAIgGg0yuLiYlXbMZ/Pt+H+FouFSCRCIpEgkzFfBGdpaQm73Y7f78fn82EYRlW7tkgkwurqKgBOp5Oenp7yfltp6wa6Jdrk5CROp5Ouri58Pl9VxaB8Pk88Hm8YTGqWxWIhHA4TDodbruzUhIfRYaIvIu2v6lkuPXFZ7VUrLCgOdg1zcWR3ZaAI6rfSrSeArm5Zt2rm/cuT/HD6PgD6XIHaQNEi8A/A84GL1pb9EHge8Eng5TXDGei7rQGIOH0sZhL0e0KlRX8B3GzyuIUQQgghxDaRUFFzlFI24CqgttJPb8Vzn1Lq2TXrlwzDWHfebhjGQ0qpZwLfBMLAFcCDSqmvAf8PmF8b+zeAF6IrDQEcA64yDGO5dsx6DMP4qVLqpcAXABfwXOCwUupL6GpJUXRb5KeiWyyX3ozcCTzLMIysmXmEEEIIMyRUJIQQp4Yo8BT0h/xfAmZ39nBEHQbw++hg0TDAUwcG626YLhT4ycw0RcMg7HCwnM2yWn0R9pnAW5ELc0IIIXbONa3stFmoyGq1VlXNCYfD+P1+5ufnicfjWK1WXC7XpvMUCoWmW60Vi0Wmp6fJ5/OEw2GUUthsJ9/yut1u9u3bR7FYLC/P5XIsL5v6TNeUTCbD9PQ0DocDr9dLNpslnU5vObRUYrfbCYfDBAKBToSJHgT+Cn1nrVSpaWym9MRrd5YXWlA8e+QiRn3dtdsfQgd0NtMDfAe4pHbF3UvjHIrNMrl68mf38r6zKjc5CjwRmATevzZGEl1VyUCHlG4EzgMeQQeQ7gU+ArwIYD4dYzYVqwwVPRX9GZKcvwohhBBCiNPJIPDtTbaJoM+PKx2jQYVRwzBuUUpdjG5rdjU6OPSKtce6zdE3aLypXpWhjRiGcYNS6nLgX9GfSYeA1zXYPI++eeDthmG0rzyuEEIIgYSKhBDiVHLv2kOcuhaB3wS+BTTsLeGyWrl6cIirB4cAmEwmmVxNVm6yF32H+h+g7x4RQgghOu2KZndIp9PE4/ENtwmFQuvCLjabjf7+foLBIMVicdM2Xfl8nomJiZaDOMlkknA4XHedxWKpOr6FhYW6Ldq2KpvNks2278ZQr9dLKBTC4/F0os3Zfegw0X8hYSIzyqEij9VRXnhWcFdtoCiDrk76DmDFxLifpSJQlC7kuG3hCHcuHsdjdTDoDbM/OMCJ5CL5YoFhb6Ry3zeiA0UAReDWmrGLwFdqling3NILp9XOBV3DlesXkZ8HIYQQQogdZ1VS/LxJOfT5b7N3ZaQ3WmkYxjHgGqXU44GXAU8AxtABozg6vP+/wGcNw2j5M3/DMH6tlLoMeBrwUuDxwAi6elEUfePAD9fmOdrqPEIIIcRGJFQkhBBCNOcQul/2q4BrgYs322HQ62XQ661d/Dh0sOhy4NdtPkYhhBBiMw3DsfUUCgWmp6c3DeBsVIXI4/E0XFeyurrK1NRUVbu0ZqXTaRKJBF6vt24Ap1AolANSm4WkdpLFYiEQCBAKhXA4HJvvsHX3An8JfB39obswZ7X0xFnR/qzH5a/c5jDwJGDK5JgHgKeXd47N8t3Ju/HbXPxm/3nsDw1gVfqaiGEYHInP1e6/boEJ16zNC8A5wf7a9Z9D2vcKIYQQQuw4aX/WHMMwpljf+qyd4/8C+MV2jb82hwF8f+0hhBBCdJyEioQQQojmpYB/XnsMou8iPwvYhS5D2wMModuk9TYYA/QdJS9FQkVCCCE6b3jzTU5KJpPkcrlNt5ucnMTtdhOJREyFiCoZhsH8/PyWAkWg26BNTU2VW4XZ7XbS6TSZTIZ0Ot10W7VOczgchEKhTrU4A5gA3gn8J1KJphXnlJ6EnV6sykLBKJKv/jn+GeYDRUHgnsoF35+6l8d1j3FJ955ymKhEKcXeQF/tGE8Gbjc5X8kfbrDubuA9TY4nhBBCCCG2gYSKhBBCCNFpEioSQgghtmaSk+0l6tkLvA14fYP1m1+hFUIIIdrLDqwrobcRM4GiklQqxeLiYtOholwuRyaTaWqfzcabm2ulYEvnKaXKLc7cbncnWpyBbsH118DH0IFp0Zr7Kl+cHdjFAytTJPJV3RKGTI7lBi6rXBDLpnj64AXs9vfUbjuLrii1rqQQMAo8Fh1OMvOPag/wzDrLJ9DVq75ARUUmIYQQQgixcyRUJIQQQohO68htj0IIIcQZ7DDwBuAZa88rxdBVAYQQQohOavpj6E6EXOx2O8FgcNvnOZV4PB76+voYGxtjYGAAj8fTie91FvgIOvj8t0igaKtuBL5ZerHLo3+G47mqUNHjAR+6vdingduAu9Ct5v4v+lzxe0CiciyAgMNdGyg6DvweMIKuOPZGoLaP35uAW4FH0Oegm/lD6v+/8Ma145NAkRBCCCGEEEIIIcQZSioVCSGEEJ3xXXR7jN8ArkBfnPkaG1c5EkIIIbZDFlgAus3u4HQ6m5ogl8thGMaGAZna9Uop+vr6cLlczM3NYRhGU3OeLlwuF36/H7/fj83W8bfknwfeARzr9MQ7zIUOzrwY3Rbs76gOe1+DDlhF0N+f/2hy/PHSk1xRd5CbSC6RKeRwWu2gK4N9EnghuhpRyQVrf76mYtlGN3/9D/AydPio5BPooNIYuvrUUU5+1jMMfAtdNfPvgXr/qOzAK+ssvxUdmBJCCCGEEKcQq1QqEkIIIUSHSahICCGE6JwC8NO1hxBCCLGTjtJEqMjj8eBwOMhms6a2z+fzTExM0NPTg8vlIpfLkUgkyGaz5UexWMTlcuF2uwkEAjgcDgCCwSAul4vJyUny+XxLX9ypxuFwEAgE8Pv92O32nTiEHwJ/CtyxE5OfAj6Irt4D8DjgOcBL0AGe64DnVWz7CXTwuzK4s5mzSk9Sef1vpGAUeTA6xYWR0dKql7dy4BVuAX4HSNZZl0K3Yetm/ec8Cl2ZKgK8k/XBoqdT//+CD9XZVgghhBBC7DCLklM0IYQQQnSWhIqEEEIIIYQQ4sxzNzpcYUqpitCJEydMT5BKpRgfH8ftdmMYxv9v787D67rLO4F/j64WS15kW3Yc27GdkAVIIAkBBgJ0oxBCaaEbpUCXaekKpdAO3WZoS4cpS9dpaUvbh+4tFFoKhACBdoBCCW0IEJZAcMhqx/G+21os6cwfR3LulSWv0r1X1ueT5zw653eW+9q6fh755uv3zdDQ0LTXDA4OZu/evRkYGMjAwECSqjNSrVab16Gizs7O40GiM+30NIu+kOSXUo3WWsj/9+GGKcfrMnPIuy/JryT5X6f57KcmedbkwfbBA8dP3Lb73ly27MIs7mr8/j9weHd2Dx3KQM+SDI0dy9q+5env7jvZa9ye5HmZPlBUb2+SnUkumObc/0qyJlXHpuG69am/N0myOVWwCgCANnOytpYAAHPBzx8AAAALz3+d6Q2THYXO1ODg4LSBoqn27t3bMPJsPgaKarVali9fng0bNuSSSy7JqlWrWhUo2pJqpNV1ST6chR0oSk4dxpnqF5NccxrXrUjyj6m6AWXP0OFsO7rv+MmhsWN574O35+DI4PG1/SNH84Etd+TWnXfn/Vs+n3/d9uXcd2jXyV7jp5N8Q5L9p1HPeJKfz8zf7x9L8u9JLpo4LpJ81zTXvWXiWQAAAAAscDoVAQAALDwfPpubVq1alcOHD2d8fPbzBmVZ5tixY+nu7s74+HjGxsZm/TVmQ2dnZ7q7u1Or1TI+Pp6yLNPZ2ZmlS5emr68vRVG0srx9Sd6Q5I+SnDrJtXDckipg1WCsHM/DR/fni3sfzINH9uSllz4tS7t6k+qzkt9P8q2ZOaCzKsn7kmxKkvFyPB99+M4TLt47fCRvv+fWXNG/Nku6evKlvVsyVj7y5+cb1jw61z4yIq3ekSSPTzWq8Ez8w8TXv870n/k8JdUYvOcmOZZk/ZTzh+ueAQBAm+lo6V83AICFSKgIAABg4Xkw1UilJ53JTZ2dnVm/fn22bds2J6GfHTt2ZGBgILVabdaffaZqtVq6u7vT09PT8LUdapvG/Un+OMmfJznY2lJaanWSxyS5LMniVGO8PprkT5O8OtVos+MeOrIvH9hyR0bL6r38sYe/mudvPJ49+pZUI8dunuZ1rk0VKNo4ufCfO7/eMPqs3rFyLHfu33rC+n9b9aipgaLbkzwnVTjsXLpL/UOSryb5wyRPn+b86lS/L7dOc+4PJl4fAIA2VBMqAgCaTKgIAABgYXpDkn8505t6e3uzadOmbNu27bTGmp2JwcHBbN26tWXdfnp7ezMwMJDu7u50ds6Lvy7/W6pRVR9I0p6tnZpjdarOPN82zbmHUwVlXpwqdLVm8sTGJQN5/sbr8v4tn8ux8bE8cHh3Hjy8OxuXrJq85A1JPpjGUWBdSd6bukDRl/dtyWf33H9GBV+1/KI85YLL6pduT/KsJNMnk87c51KNTfveVOGiC6ecX5bkxmnue8csvT4AAHOgo1jok40BgGbraHUBAAAAtMT7UgUPzlhnZ2c2bNiQ/v7+WS6pUpbN/6C8q6sr69atS19fX7sHio4k+ZMkVyZ5dpKbsrADRUkVrJouUJQka5O8KcnlSdYlWZ664Mz6xSty4/qrj1/8qR1319/7+FQj0Op9dyZGniXJg4f35GMPf/WMit2weGW+ee1j6pfuSjWObLYCRZPKJP+UavTbF0/j+gNJvjLLNQAAMIs6itZsAMDCJVQEAACwMI0neXnOcsxSURRZs2ZN1qxZ07LOQmejo+PEvwYXRZF169a162izSfck+bkk65O8ItV4KypXTl3YNXjCFLjvSfWeP5DkB1M31uzipavT1VF973cPH8oDh3fX3/ctU57zj/UHG5cMpK/WfdqFLuvqzXMvuiYdxfH34UNJbkiye+a7ztnDqUa57TzFdePxOREAAAAAddr6n18CAAAwp/4ryduS/PjZPqC/vz+LFi3KoUOHcvTo0VkfiXamOjs709XVla6uruP79V87OjoyOjqawcHBDA0NZWhoKCtXrkxPT09L6z6JW1J14rkljWO4eMRrU3XeOm7P8OGs7l1Wv/Tpuv2xVN2Kvj1JDh8byrHxR5o9bT+6P5seGYG2se6+JyRVJ636IN3AoiU5emTvKYsskjx7/ePSU+uaXDqa5AVJtpzy5nO3Ncl/TzXOLUmy5cje3LbrnnzPxU+eXFqR5CVJ/q4J9QAAcBZ0DQIAmk2oCAAAYGH7lVQjnQbO9gE9PT3HQzljY2M5evTo8e3YsWOzVOb0Fi1alKVLl6avry9dXV3TdiKaqrOzM0uXLs3SpUvntLZzcG+St6cKd2xucS3zwU2pOuzcnIkxaI9Zvq7+/O5U7/N6x+ePHRkdbjgxNNbwnl2dpC9VsOtHk5zQmeuho/tOq8hrBzZlXd+K+qUfSfLZ07p5dnwoyV8keVmS9NW6s+3E2q+PUBEAQNvSVhIAaDahIgAAgIVtT5JfSPKXs/GwWq3WENgZGxvLyMhIhoeHMzw8nJGRkYyMjKSjoyO1Wi21Wi3j4+MZHh7O+PjpNeLp6ek5/hpdXV2nvmF+2JFqtNY7ktyWsxxLt4CVqX7/vm2ac0NJRqas/cfkzpre/jx+xYZ8aV/VMGh4fLT+uhuS3J8qXNT4gB2b88W9D2a8PPW3qq+zO09ZfVn90tuTvOuUN86+92UiVNTb2Z3nXnTN1PNbm14RAACnbR5NngYAzhNCRQAAAPx1kucmeeFsP7hWq6W3tze9vb0nva4sy4yOjh4PHtWHkJKku7v7eJCou7t7tstslQNJ3p0qSPSxVGO5OHs3pQoPTX2DLJ/m2n9N8uEkz0mSb1772CyqdeUzu+/NvuEjU689HijaN3wkt+26J5sPbj+jwp66+rJ0ddQmD3cleeUZPWD2PG1yp6+zO5ctW1N/rkzy5qZXBAAAAEDbEioCAACgTPITSS5Ncl0rCiiKIl1dXSd0HirLMmVZntZYs3liKMn7UwWJPjRxzOw4kOSWJM+fsj5dK6EyyY+lGj92QZI89YLLsm/4SL5+aEc+sf2uPH3NFakVj7zv7ty3NR9/+KsZP8MmUr217ly5fH390uuT7D2jh8yeZ82w/rEkPxzBNgCAtqZREQDQbEJFAAAAJMn+JM9M8oEkT29xLccVRZFi/vf4H0vVGecdSd6b5GBryzmvfSEnhopmGum1NVXnng8luTxJrh3YlK8f2pEv7H0wXz+4I+v6lqe7ozPbBw9kz/DhsypobV9//Xt4X5K3ntWDzt21SZ40zfp/pRrzNjrNOQAA2sj8/6sRADDfCBUBAAAw6UCqTiZ/lORlLa7lfPCpJG9P8s9Jdra4loVsplBRktyTqmPRvyfJyp7Fx08cGR3O3Qd3nPOLb1g8UH/48bQuvPPaGdZ/MQJFAADzwnnTvxUAmDeEigAAAKg3lOTHk3wmyVuSdJ38cuoMJbk1yUeSvDPJ/S2tZmF62jRr953inpHJnbFy5tFmAz1L8rQLLk9RFLl9933ZdnTfaRVUP0ItyY1JXprkXUmOndYDZsdFSb57mvWPJ/lEE+sAAOAcFMWZjeIFADhXQkUAAABMVSb5syRfTNVlZ11ry2kbn0/yH0m+nOQrSQaTLJr4eiBVR5zhllXHk5J86zTrnzrFfcfDNoOjI9NesK5vRV6w8bp0dtSSJJuWrMro+FiOjI7kP3Z8LfcemrkR1YOH9+SqFRdNHvYm+fskb0ryvlTvo7uS3J3q/TNX/5foBUmmG5bxq3P0egAAAACcB4SKAAAAmMmnkzwxyT8leUaLa2mlu5M8OVVwiPa0KMmfTrO+K1UwbjrdSX47yc9OLtx/eNcJF3V11PLci64+Hiia1NlRS393b569/nF5+z235tCxoWlf5OuHduSLex/M1Ss31i9flOQVUy7dk+QLqcJ8dybZnOT2JEdnqP90FUlePs36TalCcgAAzBPTpcQBAOaSUBEAAAAnsz3JM5O8JsmvJ+lpbTlN985U4+AOtboQZlQkeVuqANxUn0/VSapeLcnzk7w5yeWTi/uHj+Szu0+clHbNyo3p65z5bd/d0ZnnXnRN3vPA7Tk2PjbtNf++/a58ad/WXDdwca7ov3DqSLRJA6n+rD2zbm1k4tdwZ5JtSXZOfP1cqvF6p9PZ6IlJrpxm/TdP414AANpIIVUEADSZUBEAAACncizJG5O8O8kvJXlRksUtrWju3ZfklUk+0OpCOKVXJ3npDOduSNXxZ3OqQM7qJNcnWVl/0Y7BA/nAljsyPD7acHNPR2euG7i4fukNSV6b5Al8mBvEAAAXV0lEQVRJfi7JDyTJmt7+PGHg4ty2654Zi9w7fDj/tu3LuXXn5ly6dE1WLVqSFd1L0t/dmyVdi2a6rTvJUya2qe5JNULtPUluTTI+wzNeOM3aJ5LcNmOxAAC0JZkiAKDZhIoAAAA4XZuTvCxViOP5SW5MFdq4oJVFncJIki1JRpP0T2y9J7n2w6m6E/1LTuxwQ3uppeqg9cbJha1H9uaWrV/MCy95Svq7j3+bL5vYTjBelvnyvi351I67M1qe2GXoiasuSU+ta/Jwf5LfSdUdaF+mjAQcG58p09Po6OhIvrRvS8NaT0dnVvcuy6qeJVm1aGn6u/uyqmdpumsn/djm0iQ/P7E9lGrM2z+nMWC0KNWf2anefVrFAgAAALCgCRUBAABwpg4l+YeJrSPJNUmeM7E9PUnXzLfOqYOpurZ8NMndqboN7cyJHVyKVKOmNibZkOrX81Cq8NHRZhXLObksyd8leerkwqFjg7ll6xczODaSd99/W5617qpsXLLqpA/pKIpsXLIqXR21bDu6P/ce2pmhsWNJkr7O7ly9cmP95b+VKkx0bZL3Jtk0eeL+Q7tyx94HzvoXMzw+mq1H9mbrkb2P1JYiqxYtzQW9y7KsqzeLO3uyqNaV5d19Wd5zQqOw9UleNbFtmajv5iSPT/Veb3i5JG8/62IBAGiZDq2KAIAmK8qybHUNAAAAnD8WpQoZXZ0q0PD4if2VJ7vpHBxJclOq7kIfTjI0R69D+7g81fiuCycXDo4M5qYHP5d9I0caLly9aGmWdy9OX2d31vYuz+X9F+ZkRsfH8ontd+XO/Q/l+gsuy5NWPWry1M4kj0ryzFTdgLonT/znzq/n9t33pczsfr6ysmdJnnbB5bmwtz+1oiNj5XjKlNkzfCRHR4ezvm/Fycamncz2JOuSWS4YAOA8sXnz5uWpwuSTVlxxxRX7W1VPvTv33dySn+GuWvHt4kwAMEU7/8wwm3QqAgAAYDYNJfmviW1SkWRtkiuSLE2yJNUIsn2pRo49No+EkK5MXWBjBkeTfCjJPyb5YHQXWkgWJbkldYGiu/Zvyyd3fO14h6F6u4YOZffQoVw7sCmXLF19yod3dtTyzWsfmx2DB7Oub0X9qbekGqH3tky8P8uyzCe235UvThllNhuKJN+x4QlZ1n3ipL6+zp5zffyFSb4/yTvO9UEAADRXIdoDADSZUBEAAABzrUyybWKbzgfq9jtTdaK5KlX44YJU49QOp+oWc2eSzyQ5MUHCQnBtqo5BSZJP77w7t+++b8aLl3f35dnrHpcL+5ZPPbU3VUDon1O9374hyU8lSUfRkRdfev3U6z+RalzeBZML73vws9lyZG86UuTy/guzvm9F1vT2Z0X34oxlPMfGxzI2Xn0dLcdycGQw9xzakfsO7c5oOXbSX+QFvf3TBopOx87BgzkyOpyLl6xKURTZNXQwH9v2lXzT2sdmTW//5GWviVARAAAAAKcgVAQAAEA7GU3y1YkNpro/yXiSjiTpLGozXriyZ0m+5+InZ1Gtq355R5JfSjUub3JU3meSvD1V16ubZnjNT6UuUJQkj+5fm2Vdvbl2YFNW9ixpuKGWjnR3NH7ksqa3P5f3X5iRsdHcdWBbvrxva/YMH5629g2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"fig.set_size_inches(6.1, 4.1)\n", + "\n", + "plt.xticks(range(0,35,4), total['period'], fontsize=9, fontname = 'Libre Franklin')\n", + "plt.yticks(range(0,250000,50000),fontsize=9, fontname = 'Libre Franklin')\n", + "\n", + "props = dict(boxstyle='round, pad=0.4',edgecolor=purple, linewidth = 2, facecolor = 'w', alpha=1)\n", + "plt.text(0.0, 0.27, '62,200', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", + " verticalalignment='top', bbox=props, color = purple)\n", + "\n", + "plt.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", + " verticalalignment='top', ha = 'center', bbox=props, color = purple)\n", + "\n", + "ax.set_xlim([0,32])\n", + "ax.set_ylim([0,200000])\n", + "fig.patch.set_facecolor('w')\n", + "plt.show() " ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 54, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = vfh_charts.charts.line_chart(total['count'], 0, 200000, 50000, 'Trips', 'Time')" + ] }, { "cell_type": "code", diff --git a/charts/vfh_charts.py b/charts/vfh_charts.py index 92dbfee..d82cea0 100644 --- a/charts/vfh_charts.py +++ b/charts/vfh_charts.py @@ -7,7 +7,7 @@ from psycopg2 import connect import psycopg2.sql as pg import pandas.io.sql as pandasql -import matplotlib +import matplotlib as mpl import matplotlib.pyplot as plt import matplotlib.patches as patches import matplotlib.ticker as ticker @@ -127,7 +127,38 @@ def chloro_map(con, df, lower, upper, title, **kwargs): return fig, ax + + def line_chart(data, ymin, ymax, yinc, ylab, xlab, **kwargs): + + purple = '#660159' + + fig, ax =plt.subplots() + ax.plot(data ,linewidth=3, color = purple) + + plt.grid() + ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) + + ax.set_facecolor('xkcd:white') + + plt.xlabel(xlab, fontsize=9, fontweight = 'bold', horizontalalignment='right', x=0, labelpad=10, + fontname = 'Libre Franklin') + ax.grid(color='k', linestyle='-', linewidth=0.2) + plt.ylabel(ylab, fontsize=9, fontweight = 'bold', horizontalalignment='right', y=1.0, + labelpad=10, fontname = 'Libre Franklin') + fig.set_size_inches(6.1, 4.1) + month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', + 'Jan\n2018', 'May', 'Sept', + 'Jan\n2019','May',] + plt.xticks(fontsize=9, fontname = 'Libre Franklin') + plt.yticks(range(ymin, ymax+yinc,yinc),fontsize=9, fontname = 'Libre Franklin') + + props = dict(boxstyle='round, pad=0.4',edgecolor=purple, linewidth = 2, facecolor = 'w', alpha=1) + + + ax.set_ylim([ymin,ymax]) + fig.patch.set_facecolor('w') + return fig, ax From 0f995d842f26fd64e6cf5e05d3efd6c9570e3aab Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Fri, 5 Jul 2019 15:44:43 -0400 Subject: [PATCH 10/31] markdown edits --- charts/README.md | 18 ++++++------------ 1 file changed, 6 insertions(+), 12 deletions(-) diff --git a/charts/README.md b/charts/README.md index 25badbc..957c82f 100644 --- a/charts/README.md +++ b/charts/README.md @@ -1,18 +1,16 @@ -<<<<<<< HEAD -# vfh_charts +# README + +## vfh_charts -## `geo.ttc(con)` +### `geo.ttc(con)` Returns a geopandas dataframe of the TTC subway network. -## `geo.island(con)` +### `geo.island(con)` Returns a geopandas dataframe of the Toronto Island. -======= -# README ->>>>>>> 901293dbb0c6c346e29b1e476ee64ade19bc6de9 -## `charts.chloro_map(con, df, lower, upper, title, **kwargs)` +### `charts.chloro_map(con, df, lower, upper, title, **kwargs)` This function creates a chloropleth map. It returns a matplotlib `fig` and `ax` object so that the map can continued be annotated and modified. @@ -35,7 +33,3 @@ island|boolean|`True`|Flag to plot the Toronto Islands as having no data. True i cmap|str|`YlOrRd`|String to specify colourmap for the map. unit|str|`None`|Specifies if a unit should be added to the legend box. The automatic placement of the unit only works if the upper or lower are whole numbers. nbins|int|`2`|Number of ticks in the colourmap -<<<<<<< HEAD - -======= ->>>>>>> 901293dbb0c6c346e29b1e476ee64ade19bc6de9 From 5d13832148c38e1076881ef6e864b4f7b9d50ab0 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Fri, 5 Jul 2019 15:56:34 -0400 Subject: [PATCH 11/31] added info to markdown for linecharts --- charts/README.md | 22 +++++++++++++++++++++ charts/module_test.ipynb | 42 ++++++++++++++++++++++++++++++++++++++++ 2 files changed, 64 insertions(+) diff --git a/charts/README.md b/charts/README.md index 957c82f..6ced104 100644 --- a/charts/README.md +++ b/charts/README.md @@ -33,3 +33,25 @@ island|boolean|`True`|Flag to plot the Toronto Islands as having no data. True i cmap|str|`YlOrRd`|String to specify colourmap for the map. unit|str|`None`|Specifies if a unit should be added to the legend box. The automatic placement of the unit only works if the upper or lower are whole numbers. nbins|int|`2`|Number of ticks in the colourmap + +### `charts.line_chart(data, ymin, ymax, yinc, ylab, xlab, **kwargs)` + +Returns matplotlib `fig` and `ax` object. The xaxis is not formatted by this function and requires further manipulation with matplotlib. In addition, annotation boxes must be added on manually with a something like this: + +```python +fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', + verticalalignment='top', ha = 'center', bbox=props, color = purple) +``` + +The function defines the styling with the `props` variable, so the only manipulations needed is the positioning and the text itself. + +The following arguments must be passed in order for the function to run. + +|argument|variable type|description| +|-----|-----|-----| +data|Series or list|Data for the chart +ymin|int|Lower bound for the yaxis +ymax|int|Upper bound for the yaxis +yinc|int|Interval for the yaxis ticks +ylab|str|Label for the yaxis +xlab|str|Label for the xaxis \ No newline at end of file diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index 4707686..047724c 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -471,6 +471,48 @@ "fig, ax = vfh_charts.charts.line_chart(total['count'], 0, 200000, 50000, 'Trips', 'Time')" ] }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.94, 0.96, '176,000')" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", + " verticalalignment='top', ha = 'center', bbox=props, color = purple)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fig" + ] + }, { "cell_type": "code", "execution_count": null, From b1ba49fe7543f8e2fb0fc0a568ac67416f09b545 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Fri, 5 Jul 2019 16:04:19 -0400 Subject: [PATCH 12/31] changed variable definition --- charts/vfh_charts.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/charts/vfh_charts.py b/charts/vfh_charts.py index d82cea0..067b7f4 100644 --- a/charts/vfh_charts.py +++ b/charts/vfh_charts.py @@ -19,7 +19,8 @@ #shapely workaround for windows #os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" - +class colour: + purple = '#660159' class geo: def ttc(con): @@ -130,10 +131,8 @@ def chloro_map(con, df, lower, upper, title, **kwargs): def line_chart(data, ymin, ymax, yinc, ylab, xlab, **kwargs): - purple = '#660159' - fig, ax =plt.subplots() - ax.plot(data ,linewidth=3, color = purple) + ax.plot(data ,linewidth=3, color = colour.purple) plt.grid() ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) @@ -152,7 +151,7 @@ def line_chart(data, ymin, ymax, yinc, ylab, xlab, **kwargs): plt.xticks(fontsize=9, fontname = 'Libre Franklin') plt.yticks(range(ymin, ymax+yinc,yinc),fontsize=9, fontname = 'Libre Franklin') - props = dict(boxstyle='round, pad=0.4',edgecolor=purple, linewidth = 2, facecolor = 'w', alpha=1) + props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple, linewidth = 2, facecolor = 'w', alpha=1) ax.set_ylim([ymin,ymax]) From cae6787298bb6ee5003690fc88002aa23454af53 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Mon, 8 Jul 2019 14:29:04 -0400 Subject: [PATCH 13/31] renamed module --- charts/README.md | 4 +- charts/__init__.py | 2 +- charts/module_test.ipynb | 423 +++++++++++++----------------- charts/{vfh_charts.py => rick.py} | 36 +++ charts/setup.py | 2 +- 5 files changed, 222 insertions(+), 245 deletions(-) rename charts/{vfh_charts.py => rick.py} (78%) diff --git a/charts/README.md b/charts/README.md index 6ced104..385c5d0 100644 --- a/charts/README.md +++ b/charts/README.md @@ -1,6 +1,8 @@ # README -## vfh_charts +## Regular Information Charts Kit + +This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. ### `geo.ttc(con)` diff --git a/charts/__init__.py b/charts/__init__.py index 1197ea2..dfdceca 100644 --- a/charts/__init__.py +++ b/charts/__init__.py @@ -1 +1 @@ -from vfh_charts import * \ No newline at end of file +from rick import * \ No newline at end of file diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index 047724c..892d971 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ @@ -17,13 +17,14 @@ "import numpy as np \n", "import datetime\n", "import math\n", - "import vfh_charts\n", + "import rick\n", "import geopandas as gpd\n", "import os\n", "import shapely\n", "from shapely.geometry import Point\n", "#os.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\n", "import importlib\n", + "import matplotlib.ticker as ticker\n", "\n", "CONFIG = configparser.ConfigParser()\n", "CONFIG.read('/home/rliu/bdit_vfh/config.cfg')\n", @@ -111,7 +112,7 @@ } ], "source": [ - "fig, ax = vfh_charts.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', \n", + "fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', \n", " island = False, cmap = 'YlGnBu', unit = '%', nbins = 3)" ] }, @@ -149,241 +150,7 @@ }, { "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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29Feb172254
30Mar175803
\n", - "
" - ], - "text/plain": [ - " period count\n", - "0 Sep 2016 62242\n", - "1 Oct 64443\n", - "2 Nov 65595\n", - "3 Dec 71107\n", - "4 Jan 2017 69280\n", - "5 Feb 75834\n", - "6 Mar 80486\n", - "7 Apr 80165\n", - "8 May 79951\n", - "9 Jun 83822\n", - "10 Jul 76303\n", - "11 Aug 77527\n", - "12 Sep 82788\n", - "13 Oct 83752\n", - "14 Nov 88247\n", - "15 Dec 97224\n", - "16 Jan 2018 91856\n", - "17 Feb 100055\n", - "18 Mar 108321\n", - "19 Apr 116587\n", - "20 May 118861\n", - "21 Jun 132495\n", - "22 Jul 131914\n", - "23 Aug 145230\n", - "24 Sep 152776\n", - "25 Oct 159412\n", - "26 Nov 161733\n", - "27 Dec 164054\n", - "28 Jan 2019 161267\n", - "29 Feb 172254\n", - "30 Mar 175803" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "total" - ] - }, - { - "cell_type": "code", - "execution_count": 53, + "execution_count": 61, "metadata": {}, "outputs": [ { @@ -392,18 +159,18 @@ "" ] }, - "execution_count": 53, + "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "importlib.reload(vfh_charts)" + "importlib.reload(rick)" ] }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 59, "metadata": {}, "outputs": [ { @@ -453,7 +220,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 62, "metadata": {}, "outputs": [ { @@ -513,6 +280,178 @@ "fig" ] }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "query = '''\n", + "\n", + "WITH sum AS (\n", + "\n", + "SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,\n", + "extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25\n", + "\n", + "\n", + "WHERE pickup_datetime > '2018-08-31'\n", + "GROUP BY pickup_datetime, hr\n", + "\n", + ")\n", + ", collect AS (\n", + "SELECT avg(count) as count, hr, dow from sum\n", + "group by hr, dow)\n", + "\n", + "SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, \n", + "CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch\n", + "FROM collect\n", + "LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr\n", + "LEFT JOIN ptc.periods_simple USING (period_uid)\n", + "ORDER BY dow, hr\n", + "\n", + "'''\n", + "count_18 = pandasql.read_sql(query,con)" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 4166.75\n", + "1 3010.75\n", + "2 2488.25\n", + "3 1598.75\n", + "4 1312.25\n", + "5 1878.00\n", + "6 3357.75\n", + "7 5286.50\n", + "8 7117.25\n", + "9 7524.50\n", + "10 6212.50\n", + "11 5883.75\n", + "12 5856.50\n", + "13 5716.75\n", + "14 6262.25\n", + "15 6701.50\n", + "16 7220.75\n", + "17 7958.50\n", + "18 8062.50\n", + "19 7240.50\n", + "20 6592.50\n", + "21 6027.50\n", + "22 5270.75\n", + "23 4201.50\n", + "24 2884.00\n", + "25 1857.50\n", + "26 1393.25\n", + "27 852.25\n", + "28 832.75\n", + "29 1704.00\n", + " ... \n", + "138 11153.80\n", + "139 11679.40\n", + "140 11650.40\n", + "141 11375.00\n", + "142 12061.40\n", + "143 13068.40\n", + "144 11991.00\n", + "145 10528.60\n", + "146 9644.40\n", + "147 6259.00\n", + "148 3233.40\n", + "149 2152.00\n", + "150 2715.80\n", + "151 3084.20\n", + "152 3453.40\n", + "153 4577.40\n", + "154 5849.00\n", + "155 6454.80\n", + "156 6607.40\n", + "157 6772.60\n", + "158 6915.20\n", + "159 7296.20\n", + "160 7507.00\n", + "161 7830.40\n", + "162 7684.20\n", + "163 7192.80\n", + "164 6780.00\n", + "165 6496.00\n", + "166 6183.40\n", + "167 5587.20\n", + "Name: count, Length: 168, dtype: float64" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "count_18['count']" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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MjMTOnTsRFhYm8dnX1NSEra0t3N3d0a5dO7mvTVsbrFu3jpfgvBRagkZqaqrE4319fTFnzhyO7ebNmzAyMkJWVhYWL16MgIAAFBYWco7R0dGBk5MTpk+fTt3oSUtLw+HDhxEQEIDExESp99ygQQNYW1vDwcEB/fv3V8hn3rlzB3v27EFISIhE32VoaIgpU6Zg4sSJShVYP3/+HEePHsWFCxcQHx8vs3WYSCSChYUFHB0dMXr0aNSuXVvq8dOnTyfiGcOGDcPOnTsF3zMttmBrawtvb2/B12QwaIj7pjlz5mDu3LkAAB8fH6xevZqT2AuUzO169uyJGTNmwNraGkDJXNTKyopzXOPGjXHr1i1e98N8BT+Yr/h+ocUTUlNTlRLbFYlE6N69O2JjY6GrqwtdXV3Uq1cPenp6cl+jouPCNJ8jzpw5c4i5FG0eZ2lpiZSUFI6tdM7FB9rz2L17d/j5+Uk8R3yuWd5vPn78GPPnz6fGL5o2bYoJEyZg3Lhx0NTUpF67uLgYp0+fxsGDB3Hz5k2JPq1jx46YNWsWteWqIkRGRuL48eO4dOkSXr16JfN4DQ0NWFtbw8XFBba2tlJFO0VFRejatSuxBv/rr78wYcIEwff8999/Y926dRybp6cnJk+eLPiajIqluvlCJycnIiG4/P6gvAiZV0lbPwLA+/fvsXPnThw/fhxv376lXkMkEsHc3BwjRoyAm5ubRP8iD58/f8Y///yDo0ePSlx3qqqqYuDAgZg3b55SYyUFBQUIDg7G6dOnER4ejqysLJnn6OrqYtCgQfjPf/5D7VJTHlp8HSiJHytSjIb2/QkJCYGZmZngazIUg8lHGQwGg8GgIBKJYGdnx7F9/PhRcCvivLw8BAcHc2wjRowQfH/luXz5MmxsbDBt2jRcv35dqmgGKMkMOnz4MPr3749Zs2ZJnDjz5erVq+jZsye8vLykCgWBko3ntWvXwsbGBmfPnhU0XmRkJPr06YPffvtNolAQKAkcXLt2DY6Ojli+fDny8vIEjVeea9euYcCAARg7diz8/f3lCggBJWLKoKAguLi4wNnZWermWd26dTF06FDCLi0AI8/4Z86c4dh++OEHhcSHDEZlExYWhoEDB2LWrFkICwuT6fMSExOxbds29OjRA15eXsjPz+c95okTJ2BtbY3ly5fLFAoCJZUHz5w5A3d3d/Tt25daVU0WOTk5+O233zBw4EAcO3ZMqngkLS0Na9aswZAhQySKmfjw8eNHLF68GJaWllizZg2ioqLkEgoCQGxsLFasWIEePXrg8OHDUo91dXUlbBERETJ/Q6Rx7NgxwiZE8PA10blzZ2Lj7smTJ3L/Nr19+xaxsbEcm7iQjybsk7cVcUFBAW7fvs2xaWhowNLSUq7zs7KysHTpUvTq1Qve3t5ShYJASbDu4sWLmDx5Mn788Uei6iIfbt26hd69e2PhwoVSn62ioiJcvXoVI0aMwIoVK5Qy1yhPfn4+PD09YWtrC39/f4liIaBE4H3p0iVMmjQJzs7OUgV+0nj79i1mz56NgQMHwsfHR+Z1MjMzcebMGTg7O8PV1VWmQIdGcnIyHBwcMH78eJw9e1aqUBD433drzZo1sLKywt9//02IiuTh7Nmz6NGjB1asWCG13U5BQQHOnj0LW1tb7Ny5U+YGuzycOnUKPXr0wLRp06SKwsVJT0/H0aNHMWTIEEybNg0ZGRkSjzUxMUHHjh0JuyJzyqSkJEIoaGFhwYSCSubDhw/4+eef4eDgIFUkDJTMGwICAjBkyBD88ccfgp6F6sLnz58xevRo+Pn5Ud9HRkYG9uzZQ/Xve/fuhbW1NdasWSOXH3r79i0CAgIwfvx4wfOojx8/Yvr06bC3t8fp06el+q7U1FQsW7YMw4cPV0p7r7S0NMyaNQs2NjbYtGkT4uLi5PJNxcXFuHfvHpYsWQJra2sEBQVJPd7FxYWwhYaGIjMzU/C9f49zNkb1Ytu2bZg3bx4hFARK5nZXrlzB7t27lTYe8xXCYL7i+6VNmzaETTzBQRF27dqFa9euITAwEAcOHMCGDRvkFitURlz4WycxMREODg4SEx2fP3+Ov/76C9nZ2dTXHz9+jKFDh2L69Om4ceOGVJ927949TJgwAbNmzZJLUCOL6OhoODg4wMHBAYcPH5ZLKAiUrNUvXryIKVOmwNbWFnFxcRKPVVFRwahRowi7Imu44uJi4vyaNWvC0dFR8DUZFU919oXViRMnTsDGxgZbt26Vut9ZXFyM+/fvY+nSpejduzfvpI9Szp8/DxsbG/z5559S152lor4hQ4Zg+/btSokjBQYGwtraGu7u7jh79qzcfu3Dhw/w9fXFjz/+iJ9++onTQUYcY2NjqiBVER/04sULIpm8Xbt2X+X37VuCiQUZDAaDwZDA8OHDCZvQykSXL1/mBMe0tbWpFT74UFBQgCVLlmDs2LGChBVFRUXw8/PD0KFDERMTo9C9+Pr6ws3NDW/evOF13ocPHzB16lTeVaR8fHzg5OQkUzBQnqKiIuzYsQPTp0+XW/RCY9OmTXBxcUF8fLzgawAl2Zj29vZ4+fKlxGNogdaQkBDBgY2goCB8/vyZY3N0dGQtMBhfDVu2bMHYsWMFPX+fP38ue37lDeSWjjlz5kypC2hpPHnyBC4uLjhx4oTc57x79w52dnY4ePAgL3+VkJCAkSNH4v79+0JuFUCJAGTIkCHYt28fCgoKBF8nMzMT8+fPx6ZNmyQeY2pqSghYiouLef2tylNYWEicq6GhAXt7e0HX+1qoWbMmVXgnLuSRxOXLl4lgVd++fTn/lpRNKg8PHjwgAvzdunWTK3s3NTUVDg4O2LNnjyAB3v379+Hk5ARfX1/e5x48eBCjRo3C8+fP5T6nqKgIW7duxc8//6zQXKM8ubm5GD9+PHbt2sX7mjdu3MCIESPw7t07Xuc9fPgQQ4cOxfHjxwW9j6tXr2LYsGFyC0qBkkQSe3t7ub+34uTm5mLdunWYMGECL1G4l5cXpkyZQhUKSBvrjz/+wB9//CHkVgGUfFfmz5+P6dOnS50LysPp06fh5OREzPHKQxNn+/v7Cw5U0zbuaZtZDOG8fv0ajo6OvNdJRUVF2LlzJ2bMmKGUjYiqYOHChVKTwYCSChsDBgzg2JYuXYolS5ZI3FSWRenGr7y/b0DJRratrS1RSUsW9+7dw4gRIxQSAUVHR2Pw4MHw8/NT6DcnLS0NP/30E44ePSrxmJ49exLVh3JzcwXHR2hJbPXr11c4RsJgyEt4eDhWrFgh8zgnJyeljMd8BfMVDP4MGjSIsIWFhVV5VcnKjAt/q+Tk5GDSpElSE56AkjgErSV8aGgohg4digcPHvAa18/PD25ublITcGRx7NgxhdatpTx8+BAODg5SE5JdXFyIqtf37t0T/Jtw48YNYg9p4MCBSmtpy6gYqqsvrE6sX78eM2fOxMePH3mdl5qaChcXF/z777+8zvv7778xceJEXnuhX758wZ9//omlS5fyGqs8xcXFWLhwIdzd3YlqsXwJCgqCo6Oj1LWzpDiS0Pnk8ePHiRgFSwCpetjOMIPBYDAYEujYsSOaNGnCWUSVtgnh2+ZRPCA4ZMgQhVpFFhQU4KeffsK5c+eor6uoqKBdu3Zo3LgxtLS08O7dO8TExFCzal69egUHBwccPHgQ3bt3530vV65cwbZt24hJYuvWrWFsbAxtbW28efMGcXFx1Al0cXExFi1ahN69e8vV7uHUqVOYP38+dfNLRUUFFhYWMDIyQo0aNZCSkoJ79+5xNo2Dg4MFV97av3+/xHapGhoaMDU1hZGREbS0tJCfn4+MjAw8evQIycnJ1HNev36NxYsXY+/evdTXe/TogaZNm3KECqWB1jFjxvC+f1rWGZuQM74WFi9ejH379lFf09DQgIWFBRo2bAh1dXW8e/cOcXFx1Ozemzdvws7ODkFBQdDV1ZU6ZlhYGFatWkV9zcDAAKampqhXrx7U1dWRlZWFJ0+eID4+nvCHBQUFmDt3LszMzGBqaip1zE+fPsHFxUVihrG+vj7atWuHevXqIT09HQ8fPuS8z+zsbIwbN05mRS4aHz58gIuLi8SAQ5MmTWBsbAxdXV2oqanh06dPSE1NRWxsrMTx/v77bwwcOJCaCQuUBD/v3bvHsfn5+eGXX37hff/h4eFE9bOhQ4eiTp06vK/1tdGrVy9CmBURESFXi/mwsDDOv7W1tdG5c2eOrWHDhmjTpg3nexkREYHs7GyZ7choLYhp4kNxEhMT4ezsLDEj2MjICG3btoWOjg6ys7Px+vVrREVFEUKxvLw8zJkzBxkZGfjpp59kjguUZCQvXLiQOteoUaNG2VxDJBKVzTXKi2uDgoIUEu2W55dffiEqW2toaKBjx44wMDBAcXExUlJSEBUVRRVUvnjxAp6enti8ebNc40VERGDcuHESK9y1atUKLVu2hI6ODj5+/IjU1FRqm/KsrCxMmDABW7duJap1i5OTk4OpU6dSP2tNTU20adMGRkZGqFWrFvLy8vD69WtER0dTA8GXLl3CqlWrsGTJEpnvdePGjRIFzWpqaujcuTMMDAxQUFCAFy9eICoqivOd2LVrFxo3bixzHBqenp4Sq69qa2vD1NQUhoaGqFWrFnJzc/HhwwfExsZKDEbHxcVh7dq18PDwoL4+fPhwLFu2jCMoTElJwY0bN3i3C6KJujU0NODg4MDrOgzpTJgwgdhA1dHRQceOHdGgQQN8+fIFSUlJ1OcPKElys7KyUqhNWVVw8eJFuaoV2NvbQ01Nrezfx48fx549e6jHNmnSBK1atYKuri5q1qyJjx8/4vHjx0hISCCOzc3Nhbu7Oy5fvoxGjRpJvYe0tDSMHj1a4lrPyMgIbdq0gY6ODt69e4cHDx5wxNvv378XtKYDSp5fV1dXicksLVq0QMuWLVG3bt2y95ycnIz4+HiJ4nsPDw/06tWL+r5FIhFGjx6NtWvXcux+fn4YO3Ys7/s/c+YMS2JjVBk5OTn49ddfZQqqdXR0lNKykvkK5isYwujXrx9atmxJCKM8PDxw//59zJo1C8bGxpV6T5UdF/5WWbt2rVwVoGmC7Zs3b2Lq1KkSu4yYmZmhefPm0NDQwKtXr3Dnzh1OvOrOnTtYtGiRoPsOCQnB3LlzqXPvmjVronXr1mjWrBm0tLRQXFyMjx8/IiEhAUlJSdTfnE+fPuHXX39FUFAQteV806ZN0b17d0LI5OfnhwULFvC+f9q+AEv4qv5UR19YnTh8+DAR7xKJRIQviImJoQqUS2OGV65cgbq6uszxtm7dSrTyLqVmzZro3LkzGjVqhIKCAiQnJxPdery9vQXHkf78808cOHCA+pqQOFJCQgK8vLwkJsLa2dnBw8ODEx989eoVrl27hl69evG6d1plUzU1NRZHqgawWTWDwWAwGFKwt7fHli1byv796dMnXL58GUOGDJH7Gp8/f0ZISAjHpmgL4r/++osqFNTQ0IC7uzvGjx+PBg0acF4rLi7GrVu3sGLFCqJlU05ODtzd3XHu3DkYGBjwupetW7eWLXhVVFTg5uaGadOmoWnTppzjCgsLce7cOXh4eBBijqysLGzcuFFmhZbnz59j3rx5xAJbRUUF48ePx8yZM4n3nZ6ejn379mHLli1lwU4hmTfPnz/H8uXLCbu+vj4WLFgAOzs7iVWSnj59it27d+PQoUNEQOH8+fOIj4+nCohKA62rV6/m2P38/HgHi5OTkwnBhrm5uUzhEoNRHfD19aUKBY2NjTFz5kzY2dlxNoxLiY6Oxvr163H+/HmO/dmzZ/j5559x4MABqKjQi60XFRVRxUJWVlbw8PCAubk59byXL19iw4YNhAgkPz8fq1atwv79+6W9VSxdupQqFDQ2Noanpyd69erFuefi4mL8+++/nPP4VE4UH5vmH52dnfHzzz+jZcuW1PO+fPmCs2fPYvXq1USWckFBAbZt2yZRqFQqYCmf2f3s2TNERkZS2x1I43uudNWzZ0/CJqmdT3kKCwtx9epVjs3Gxoa6AdenTx/OdzMvLw/Xr1+nZjmXh9aGW5ZYMCcnBz/99BMhHlNRUYGrqyumTp1KDYZmZWUhICAA69evJ87966+/0K5dO1hbW0sdOykpCb/99hvx7NeoUQMTJkzAzz//jPr163NeS09Px549e7B9+3aF5hriPH/+nFNFWV9fH7/88gucnJyIpJO0tDTs2rWL2tYkICAA06ZNQ9u2baWO9+7dO7i7uxNCQQ0NDfz3v//FxIkTqRvD6enpOHz4MLZt28YR8BUWFmLu3LkwMTFB69atJY67c+dOIvCto6ODxYsXw8HBgTq/+vLlC06dOoU///wT79+/57zm7e2NSZMmSRX6REREEBvZpe/1//7v/zBx4kTUrVuX89qrV6+wadMmHDx4sOxvLORzvnHjBlXU1KpVKyxatAh9+/ZFzZo1qec+ePAAW7dupbYB3LdvH2bPnk0VSGtpaWHYsGGEn/Tz8+MtFrx27RrRMm3w4MHE34uhGOU3Mlq3bo158+Zh0KBBhH9OTU3FihUrcPLkSeIaGzZswNixY78qUYX4usfY2BhdunTBDz/8gOTkZISHhyM9PZ2zeZyTk4Nly5YR1xowYAB+//13if4nKSkJXl5eRMWrT58+YcOGDcS9iDN37lzq5r+5uTmWLVuGbt26ceyFhYW4ePEiPD09y3y70N+KefPmEeIfkUiEiRMnYurUqRI3oLKzs3Hy5EmsXbuW+J3Mzs7Gnj17JIqOR40ahXXr1nHWs5GRkXj+/Dmx9pcFayvKqEp8fHw4nT+0tLTQu3dvNGvWDFlZWYiMjERcXByGDRsm16axLJivYL6CIQxVVVWsWLECrq6uRCzV398f/v7+6Nq1K4YNG4b+/fujefPmFXo/lR0XbtSoESexcseOHdi5cyfnGE9PT6KTgra2Nq/3Vdmkp6cTFdEsLS1hZmYGdXV1PHr0CNevX4eGhgYRa8jIyMCMGTOoQsHhw4djwYIFhJ/Jzs7G0aNHsXr16rJ1rhCf+vHjR/z666/E51enTh3MnTsXo0aNkpio+urVKxw4cAA7duwghNgPHjzApUuXJIrTXV1dCbGgv78/5s+fT1QdlMbnz5+JSq0NGjQgukowqh/VzRdWN8rv3aqrq2PKlCmYPHkyEbfLzc3FyZMn4enpSSSeJicn48CBA5gyZYrUse7cuUMVjKurq5fFkXR0dDivvX79Gps3b8aBAwfKPj8hPigyMpL4DQCAli1bYtGiRejfv7/EOFJMTAy2bt2K06dPE68dOHAAc+bMIe4bAGrVqgV7e3v4+Phw7H5+frzFgjdv3mSVTasprA0xg8FgMBhSoLUu5Ns+IyQkhCOCqF+/vsyNamlERERg9+7dhL1x48Y4f/485s2bRwjmgJKAoJWVFU6dOoU5c+YQr7979w7Tpk3jfT+lm6Xa2to4cuQIVq1aRQ0A1qhRAz/++CPOnDlDfT0wMFBmCetly5YRpbHV1dWxd+9e/Pnnn9T3Xa9ePcydOxcnT56kTnrlZdOmTUTlLENDQwQGBmLUqFFS2ym2aNECK1euhLe3NzVT8OzZsxLPdXZ2JsRMERERvFtP08p8fy8iGsbXTWJiIn7//XfCPmbMGJw/fx4jR46kCgUBoH379ti7dy82b95MHHP58mWJFWiAkip14s+ZtbU1jh49KlEoCJQEdFevXk2959DQUKktCm7fvk1t69S/f3+cP38effr0IfyBSCSCtbU1zp07B0dHR4nXlkViYiICAgII++LFi7FhwwaJQkGgxA+PGDECoaGhREU6ALhw4YLEyhTa2tr48ccfCbs8VYXK8/HjR0IU2rhxY9jY2PC6zteKqakp8RsYExMjs73OvXv3iMzaPn36UI+l2WW1mS0sLCTa8+jr60usNFnK0qVLibZOenp6OH78OFavXi0xa1pbWxv/+c9/cPnyZaJacmFhIaZPny6zPaWHhwdRwURDQwP79+/HH3/8QQQcgZK5xvz58+Hv769UwVT5321ra2vkJqDOAAAgAElEQVSEhoZi7Nix1OrU9evXx++//46NGzdSryNP27uZM2cSPqpZs2YICgrC4sWLJYrv6tWrh59//hmhoaHEJld2djamTZsmsXpPcXExjhw5wrFpaGjg2LFjcHV1lTi/UldXx6hRo6jzu/z8fOrmcvkxFy5cSMw7dXR0EBAQgF9++YX6ORoYGGDlypXYu3evQuIBmkjR3NwcgYGBGDRokMQALwB06NABO3fupCbY5OXlITQ0VOK5Li4uhO3MmTO823CxjfvKZfTo0Th37hyGDh1KFf0ZGhpi69at1AqCaWlpuH79eiXcpfIoFfCoqalh/fr1CAsLw99//42FCxdi27ZtuHv3LrZu3cqZbwQFBRG/ZXZ2dti/f79UoXLz5s2xY8cO6qaQv7+/1GcjODgYFy9eJOxOTk4IDAwkxD9AyXp40KBBCA0NlfhbKw+3bt0ihP5ASfutP/74Q2qlitq1a8PNzQ0XL15Eq1atiNelrUsNDQ2pyQl852y0JDYLCwuYmJjwug6DIZTyQkEHBwfcuHEDu3btwqJFi7By5UqEhobizJkzmDx5ssJjMV/xP5ivYAjBxsYGnp6eEl+PjIzE0qVLYWNjA0tLS8yePRuHDh2idnxQlMqOC9eoUQMNGjQo+49W0V9bW5tzTIMGDaTeR3Xg8+fPZd0ADA0NcerUKfj7+2P58uVYvHgxDh48iDt37mDjxo3EunfdunVEAQKRSAQvLy9s27aNut9Qu3ZtTJo0CSEhIUSbdD54e3sTSWra2toICAjA5MmTpXa0MDAwwIIFCxAQEIBatWoRr0vzqUOGDCGuXVohng9BQUFELGTkyJFfVVLR90x18oXVjdJYk4GBAQIDA7Fw4UJq3E5DQwMuLi44ffo0dY+QlnwnPs7ChQtRWFjIsevo6MDf31+i4E5fXx9//fUX9u/fr1CnuTVr1hBxtXbt2iEoKAi2trZS40jt2rXD9u3b8ddffxGv5efnE4VuykOL9QQHBxNxU1mwOFL1hYkFGQwGg8GQgpmZGREYCw0N5bWpJj7RtLOzowYG5OXPP/8kJoZ6enoICAiQq+S4SCTC3Llz8euvvxKvRUZGytz4l8SWLVvkEmXo6+tTKz+8ffsWDx48kHjew4cPqRPXtWvXytUaxtzcHIcPHxa0CP706RN1k33t2rUy21OVZ9CgQRg+fDhhF2/BWZ5GjRoRAWJa+zdp0Mp8q6urszLfjK+CDRs2ED7X2dkZa9askXuR7ejoSK1st2PHDomtS2hV2X799Vepi+/yTJ8+HR07duTYiouLiZav5aGJfNq3b489e/bIfK+qqqrYuHEj+vXrJ9f9iXP06FEigGRjY8NLRF67dm1qFZ7SFs2ScHV1JWxBQUESPxsap06dIgL3zs7OvDKtv3bEf4Pz8vJktsK9fPkyYZOUWd6tWzcisE07vzwPHz5EVlYWx0bbPCzPs2fPCPFYrVq14OPjAysrK6nnlqKjowMfHx/iGXz37h0OHTok8bzSrH5x1q1bJ9ez1bFjRxw8eFCheR6Nli1bwtvbW2brdKAk4E+r9kjbqC7P9evXiXbHDRs2xLFjx2SKO0sxNDTEiRMn0KRJE449Pj4ewcHB1HNevnxJZFXb2dnBzMxMrjFbtGhBbSMl7bsZHBxMiFFVVFSwf/9+dOjQQeaYgwYNkti+WBZPnjwhNr5VVVWxZcsWXlVAJk2ahE6dOhF2ac+8paUlWrRowbF9+vSJWq1cEp8+fSI+SwMDA5nPNUMYAwYMwN9//y2XONXDwwMNGzYk7Ldu3aqIW6twNm3ahFGjRhG/4zVr1iTWMOKidABYsGCB3HOAxYsXo1mzZhxbTk6O1E3YDRs2ELbevXtj/fr1Mn8DNDU1sXfvXuI3Sl5oLcxHjBgBZ2dnua9Rr149anWk5ORkYiO8PDTRMZ91KcCS2BglGBoaKuU/S0tLwfcwcOBAbNq0iVrRxMLCgiqS4wvzFf+D+QqGUCZOnIjNmzdTRVblSUlJwfHjx7FgwQL0798fZmZmGDduHLZt20a0geRLVcaFv1Xq1KmDo0ePokuXLsRrurq6RKw/LS2N6tfmzZsnV5vzpk2b4vjx41JFfZIoLi6mJvYuWbKEV8ceCwsLapKKtDWcpqYmNX7PV4DNhDpfP9XBF1ZXSouJyBNHatWqFebOnUvYo6Ki8O7dO4nnXbhwAQ8fPuTYRCIR9u7dCwsLC5nj9u/fn1MFkQ/Pnj0jkgBr1KiBrVu38vJpEyZMoCaqSPNBXbp0IebEtEql0qAd37BhQ4WSYhjKg4kFGQwGg8GQgXh1wezsbLkFdRkZGcTGqyICrXv37hEthIGSdk18ghMAMGvWLOqmu6RWkdKwsbHBgAED5D5+0KBB0NfXJ+xPnz6VeI64cAAoETTwqaRlYWEBd3d3uY8vJTw8nBArdezYkXe5bQCwtbUlbNIWIgA90MonKHDr1i08f/6cYxs8eLBClRYZjMogNTWVqObaoEED/Pnnn7yvNWzYMAwePJhje/PmDY4fP049/uXLl4SNlpkojdJnVyQSQV9fH5aWlhLbHr98+ZIQt4hEIqxdu1Zi5URxVFRU4OXlBS0tLV73CYCoygeU/E7wxdTUlNhwB0oCu5KwsrIi2mRkZGTgwoULco8r/jmKRKLvbjOJJtahCSjKIy5eNTY2hqGhIfVYNTU1olpfSkoKHj9+LPH6NKGFrGDQrl27iODlrFmz0K5dO6nniaOmpoY1a9YQYpFdu3aVVTIQR7y1BlAS0KNt6Eiic+fOmDp1Kq97lcXcuXN5CcnGjRtH2JKSkqSes2PHDsK2dOlSid8HSejo6FCr3m3dupV6PM3X0ipFS8PR0bHMT2pra6Nt27ZSq0bQPuf//Oc/vFqfDxs2DMOGDeN1nwCoiS/29vaEiE8eaHNKab4WUHxOGRQURBXwS/ptYwhHTU0NK1askFvwpq6ujpEjRxJ2aT66utK1a1fY2dnJfbyifkRVVbWsrbGKigoMDQ3RvXt3FBQUUI9/8OABYmJiODYNDQ14eXnJ/Syoq6tj7dq1ciehlFJUVEQVf8+ePZvXdYCSirW0zSVpfsTW1pYQrj9//pyaZEODlsSmoaHBktgYlY6KigqWLFmi9ASP8jBfwXwFQ3k4OjriwoULRExHGh8/fsSlS5fw119/YejQoejQoQNmzpyJkJAQietBSVR1XPhbZMKECbzWQCdOnCASRE1NTTFjxgy5r2FkZETtAiKLhw8fEgluBgYGgsR2QtZwtARbPhXiU1JSiIS1jh07KkUUz6hcqtoXVlccHR3lSvwsZfTo0USsvbi4WGrcjCZWdnNz45W4MmTIEEFzGVoc6ccff5SrcIw4tO9ORceRzpw5Q1Q2dXJyqtB5OEN+WDSPwWAwGAwZ0FoRnz59Wq5zg4ODOa0XmzZtSm3RKC+0LMb27dtTF5qyUFFRwbx58wh7REQEkpOTeV1rzJgxvMentfFMT0+nHltcXIygoCDCPmnSJN7juru7yy28KaVp06ZYuHAh3NzcYGNjgyZNmpRtKPFFXBADQGZLxEGDBkFPT49je/bsmUwRSCkse5DxteLr60ts1Lq4uAgSwwHAf//7X8ImqaISbUNGVmUucezt7XHlyhU8efIEd+7cgb+/v8RKDkFBQUTlBCsrK94CqUaNGvGqFgGUbCZNnToV06ZNw9ChQ9GuXTu0bt2aEIbJCy3gK6s9gSKBh9K/b3msrKyI6mbfOnzFgu/fv0dUVBTHJkvIR3tdWgU38YC0SCSSuqGSl5dHCD/V1NQwfvx4qfcliTZt2hCJEa9fv6ZmzRYVFVEzY4W0oJs+fTrvTV1J6OjoYOjQobzOoWU15+bmSnwOaWLlhg0bUufA8jBw4EDi+bt//z5evXpFHEur+Hz58mVe2e6ampo4d+4coqOjER8fjwsXLkjM2P7w4QPCw8MJu5DPeebMmbzP6dy5M+bNm4fRo0fDysoKBgYGGDFiBO/rAMLmlM7OzsTfPDw8nGg/LQnanPJ7E2ZXFr169eIt1qVVZhFv1fY1QNsQlQbNj0hryU1j/PjxCA8Px9OnTxEREQE/Pz9qlVYARCILULJe49vaztTUVOIYkvjy5QvmzZuHqVOnwtbWFm3atIGlpaWgjSIVFRXqXEmaH1FTU6Mm68k7Z5OUxEZr/c5gVCSWlpZo2bJlhY7BfAXzFQzl0qxZM+zduxchISEYO3asXFXXy/PhwwecOHEC//3vf9GtWzfs2rWLEJ9Joqrjwt8ifPcSaPsC48eP591ByNXVlXdyWp06dbBkyRKMHz8effv2RfPmzeHo6CioexHt85cVL+vQoQPatm3LsfGpEE+r1Mr2Bb5eqtIXVlf4+pPatWtT50SS9iY/fvxIFIQBQK0UKgshcaSOHTuWxZG6d++ORo0aCY4jCYnZOzk5ETHOf//9l5q0R4PFkao3TCzIYDAYDIYMjI2NiQXZxYsX5creEm9BLHTTtRTa5qabm5vg61lZWcHExISw//vvv7yuw6cSSykGBgaETdLCJCEhgchw0dPTE5TBqaury6sKIgC0bdsW//d//4fVq1fD19cXN27cwIQJE3iPDYAqcpJUtaKUmjVrUiuFyBNozcnJIcQPBgYGgv52DEZlQ6tKpsh318rKCpqamhzb7du3UVhYSBxL840rV66UWywOlAQUjY2N5WofKN5OABBeiZZv0FpFRQXjxo3D4sWLsXv3bpw/fx6XL18W3MK3du3ahE1WtqqzszORURgWFia1vVUpTBBdgoGBAZEZfufOHYmiq7CwMCJgLKkFcSl8xIJFRUVE9ZD27dtTW72VEhUVRQSpLCwseFXVE4f2nsRFjAAQFxdHBAYbNGhAtHeWh3r16sn8W8qLhYUFb+FhvXr1qH5H0jzr1q1bxHfB2tpaoTbevXv3po4jjrGxMfHsx8bGYtasWfj06ZPc45mYmEj9bpUSERFBzLssLCyomzayMDMzk7tFcyndunXD7NmzsW7dOpw4cQK3b98W3D5eyJyyQYMGxHiFhYUICAiQOR6tIpClpaWgvx1DNkIE+zRxIZ/nqLrAd21Jm7MtXLgQV69elfsa9erVQ4sWLeTyt7Q5m9DNGr5zNk1NTUyYMAFLly6Ft7c3QkND4e/vL2hsQJgfoYk5g4KC5NpkZHM2RnWBJq5WNsxXMF/BqBjMzMzg5eWF+/fv49ixY/jpp5/Qpk0bXmuXt2/fwtPTE/369aPGncSp6rjwt4a+vj4v4XRWVhaR6FijRg1B+yw1atTgHWtr0qQJ3N3dsWLFChw6dAjXrl3DokWLeI8N0D9/eaq70XyqPPsCkiq18umewKieVIUvrI5oaGjwqipYCp+9yYiICOI5bdeunaAkDBMTE7Rv357XOV27di2LI/n5+SEyMpJ3IkkpQmL2P/zwA9EavqioSK65ZUpKCvHd6ty5s6C/HaNiYGJBBoPBYDDkQHwBlZOTI7M94tu3b4mJkNDAIFCS4ZGQkEDYra2tBV9T0vm0TXRJ1KtXj3cLZIDf4vju3buEzdzcXHCpaqHVshQlJyeHulEuT/UcSYHWL1++SD0vKCiI2CR0cnJi7eIY1Z78/Hzcu3ePsNMW8/JSs2ZNYjGalZWFuLg44tjBgwcTPiY3N7es+t6uXbuQmJgo+F7Eofm5Tp06CbqWubk5dfFfGTx+/BipqamEXZafa9iwISFgyc/PJ0T3tOueOHGCY9PS0hLUHvRbQLy6YGZmJuLj46nHircg1tDQIKrwidOiRQuiskhERAQ1oBYXF4eMjAyOjSYgE7+WOIo88wCoYi5axUVJcw2hv5fKmmvwrS5aCp95Fm1uImRuVx55/+7a2tpUEbi/vz8sLS3h4eGBq1evypzvyIsyfS0A9OjRQ5HbEUxmZib1vQidU8qz0XTs2DFWkaISad26Ne9zaM+9sp6dykJPT493W25a9dXMzEy4urpi5MiR2L9/P168eKGU+/vy5QsePnxI2IX6ke7duyskzFaEmJgYattDWX6kTZs2RAXbzMxManus8khKYqNVRmYwKpqKFgsyX8F8BaPiUVVVhbW1NTw8PBAaGoro6Gh4e3tjypQp6NChg1wx4+fPn2PUqFHYv39/xd8wFIsLf0vw7bp0//594m/UokUL6OjoCBq/qvYF8vPzqUJyeT7/ESNGEAmB8lSIv3XrFp49e8axDRkyhNpenvF18jX6QmViYmIiqMonLSmZz96kInGkqvJBHz9+FBxHonUEEo/H02CVTas//J8eBoPBYDC+Q4YPH46VK1dybIGBgVIz2AIDAznVqtq0aUOteiAvz549IyZuderUUbiaR8eOHQmbeLsPachTxYUGrRWw+MSxlKdPnxI2vpVcyiNeKbIi+PTpE548eYJHjx4hNjYW9+7dQ3R0NHXDTtL7Lk/r1q3RsWNHjngqIyMDFy5ckCqKEW/nCLAy34yvg8TERGoFV0UF0jRev35NCHIaN26MMWPG4ODBg8TxUVFRiIqKgqenJxo3boxevXqhZ8+esLGxEeQTMzIyiIpmNWvWJKrEyYtIJIKpqSnRmleZFBYWIjU1FQkJCXj06BGioqJw9+5daptReXFxcSGE+H5+flJbzl+7do0Y087Ojqgg+b3Qs2dP7N27l2OLiIggfveKi4uJFhrdu3eHhoaGzDF69+7NeS5yc3MRERFBCL5oiQeyxILR0dGE7dSpUzh16pTM++IDrS1ndZ1r8G0pUwqtOpakAGBMTAxh27Jli8RWvkKR1A51zpw5CA8PJypqZGRkwNvbG97e3tDU1ET37t3Rs2dP9OrVC6ampoLuobp+ztL48OEDEhMTkZCQgIcPH+Lu3buIi4ujViCRZ07Zr18/NGjQAG/fvi2zxcXFISYmRqI4tbi4mAgE16pV67sVZlcGDRs25H0ObSOIVj25OkNrdSkLc3Nz2NraUlux3bx5s+z3qHnz5ujVqxd69eoFa2trQVVrX7x4QTx79evXxw8//MD7WkDJJpWRkZHSxIw0CgoK8OLFCzx+/Bjx8fFlczbxyv2lyONHRo8ejfv373Nsfn5+UuMjZ86cIZLYnJ2dWRLbdwotuagyadq0aYVen/mKEpivYFQmurq6sLW1ha2tLYCSxNBbt24hPDwcly9fxpMnT6jnFRUV4ffff4empqZSBQzKjgt/S/D1wcpew5mZmQk+V15ycnLw9OlTJCQkIC4uDvfu3UNUVJTgltO6uroYPHgwp9tJaYV4d3d3ieexfYHvj+rmCysaoXuTfGJmX3scKTY2Fnfv3kVsbKzgSrZ9+vSBvr4+J66XkJCAqKgomJubSzyPVtlU0e57DOXCxIIMBoPBYMiBkZERIdS6dOkSsrOzJVZvEt/YFtpOshSaAMPQ0FDh7GJa5ZgPHz7Ifb4irQHFkRQcSUlJIWxCNtBKUVa7tKKiorKN28TERDx79gwvXrzAixcvCOGPMnB1dSUqrfn5+UncqE1NTSVaSnfr1o13tQ4GoyqoiGdIEpJ83h9//IHHjx9LrbaakpICHx8f+Pj4QEVFBR06dEC/fv0wcOBAudsg0HxcvXr1eLceLU/z5s2VIhZMT0/HgwcP8OjRIyQlJeH58+d48eIFUlNT5WqVwocBAwagfv36nA2pBw8eICEhQWKFJdaiikuPHj2gqqrKCf5ERkYSLZKioqKIFs+yhHyl9OnThxDRXr16VaZYUEtLS2YVl8p67mnPfHWda1TGPKsq/+5ASUb2ypUrMW/ePInn5uTk4NKlS7h06RKAks+mb9++6N+/P/r06YNatWrJdQ/V9XPOz89HbGwsYmNj8fTpU86c8uPHj0oZoxRVVVU4OTlh27ZtHLufn59EseC///6L5ORkjm3YsGFVVsX2e+B7Fb3XrVtX0HkbNmzAiBEjqNWiS0lKSkJSUhL++ecfqKqqolOnTmVzNnkFyMr2IUCJH1GGAOjt27eIiorC48ePOXO2ly9fKl006uDgAE9PT05l4StXruDdu3cSxVC0ORvbrGZUFUJ9jbwwX1EC8xWMqkRbWxsDBgzAgAED4OnpicePH+PQoUPw8fHB58+fieN/++03dOnSBS1btpR7jMqOC38r8PXBNIG5Ij7V0NAQampqyMvLE3yNUp4+fYro6Gg8efIESUlJZZ9/+cQsZeHq6soRCwIlazhJYsGcnBwEBQVxbIaGhrCxsVH6vTGqL5XhC6sSWnV9ofDZm9TX1xc8jjLjSHFxcYiNjcWTJ08qNI5Uo0YNODs7Y/PmzRy7n5+fRLEgrbLp0KFDlRrnZCgOEwsyGAwGgyEn9vb2HKFWbm4uLly4QBUBJicnc0QaIpFIYbGgeGYtAKWUjKddg49YUJ4qRIpCe++KLAQUXUQ8evQIBw8eRGBgILUdS0UxfPhwLFu2jLOQCwsLw/v376Gnp0ccz9rFMb5mxNuXViSSfJ6amhr++ecfLF++HIcPH5aZ7V1UVIT79+/j/v37WLduHRo3bgwHBweMHTsWRkZGEs+jZRYr6qcUOf/Lly84fvw4Tpw4gcjIyErLci8VsGzfvp1j9/Pzw6JFi4jjs7KyEBwczLE1b94cXbt2rdD7rM5oaWmhY8eOnHavtNa+ly9fJmx9+/aVawwbGxvUrFmTIxYVF6YXFxcTYsHu3bvLFMBW1nNPe+Zpz6EiASxlBSwrY55VlX/3UsaMGQMtLS0sWbJErrnVmzdvcPToURw9ehQaGhro168fXF1diXbm4tDmlIp8zoqK5SIjI+Hj44Pg4GBkZWUpdC0+jB49mhALnjx5EkuWLKFWp2PC7MpHkYSBrxmh7eS0tbXh6+uLJUuWyFWNtqCgABEREYiIiMCqVavQokULODo6YsyYMVI3n5XtQwDF/Eh2djZ8fHwQEBCAqKgohe6DD3Xq1MGPP/7IqThaUFCAgIAATJkyhTielsRmaWmptI0yBoMvQn2NvDBfUQLzFYzqRKtWreDp6YkZM2Zg3rx5CA0N5byel5eHFStWwNvbW+a1qiou/K3A1wdXlE8VKhZMSUnBwYMHcfLkSaqIqKKwsbFB48aNOWNKqxDPKrUyaCjTF1YHKiNmpuy4vaLxwjt37uDw4cMIDg5WuihQGi4uLtiyZQtnn+DUqVPw8PCgxi9YHOnrgP0iMBgMBoMhJ3Z2dsRiKjAwkHqs+AZFly5d0LhxY4XGp1VwkreKijRoVSuUkVmnTGgtGhRZCNSuXVvQwvjz58+YP38+Bg4ciH379vEKCIlEIrRv354aEJUXLS0toopgfn4+Tp48ST1evMx3rVq1YGdnJ3h8BqMyqczFrjSfp6WlBS8vL5w+fRr29va8fE9KSgq2bNmC3r17Y+XKldS2yoDyfRwgPPAQGhqK3r17Y8GCBYiIiOAlFNTR0YGTk5PU9gOycHFxIWz+/v7UVhCBgYGcKhUACzoAJa2Iy/Py5UsiE19cLGhkZARjY2O5rq+lpYXOnTtzbDExMZzgWUJCAlFJoU+fPjKvXVnPPe2ZV/Zz+LVkyhYXF1fp37089vb2uHLlCubMmUOtfC2J3NxcnD17FuPGjYOTkxPi4+MlHltdPue3b99i0qRJcHBwwLFjx3gJBWvUqAFLS0u4uroKGhsAjI2N0a1bN44tLS0NYWFhxLHZ2dk4e/Ysx9asWTNYWloKHp/BkIQiIkk9PT1s27YNvr6+GDhwIK9rPX36FGvXrkXPnj2xZcsWie2ZKmLOJtSP+Pv7w8bGBsuWLeMt/qlfvz7c3NwUqhhC80Hi689Sjh8/zpLYGNUKNTW1Cr0+8xX/g/kKRnWjQYMG2LdvH7VLy4ULFzgtFsWp6rjwtwLf+V518akFBQVYuXIlevfujS1btvAWChobG2PWrFm8xy1FRUWF6hOl+dTyiEQiVqmVUYYivvB7o7rEkd69e4cpU6bA3t4evr6+vGJ5NWrUQLdu3eDm5iZobKAkDmRlZcWxvX//npqQTqtsamRkBGtra8HjMyoGVlmQwWAwGAw5MTAwQLdu3TiVcsLCwvDp0ydClCEu3lK0qiBAn0TSslr4QsvOq25tr9TV1QmbJNGNPBQVFfGulJWWloZx48YhOjparuP19fXRunVrtG/fHubm5rCysoKenh6Sk5Oxe/duIbcNoCTQKp6V4+fnh0mTJnFsERERRJnvH3/8kbWLY3w10J77Ro0a4cyZM0ofSx5hXadOnbB9+3Z8+vQJFy9exIULFxAWFiZXJdYvX75gy5YtePDgAfbv30+8N9p7pbWC4ANNXCeLPXv2wNPTU65zNTU10aJFC7Rt2xYdOnRA165dYWZmBhUVFUybNk1wxQpjY2N07dqVUxnv1atXuHbtGtHmVtwXqqiowMnJSdC43xI9e/bEunXrOLbbt2/D0NAQQEl1t/v373Nel7cFcfnjy8+HCgsLcefOnbLP6MaNG9RzZEF7Fjw8PDBixAhe9ycLkUgk19iKPIfKbuNWUYhEIqirqxPC2x07dihdDKaqKjsEpaOjg7lz52LOnDm4e/cuzp8/j0uXLkltLVqeGzduwMHBAb6+vlThcnX4nBMTE+Hm5ibX5pKKigoMDQ1hYmKC9u3bw8LCApaWltDW1sbVq1dx5MgRIbcNoEScLV551M/PD/379+fYgoKCiL+Rs7Mz9TliMKoDNjY2sLGxwYcPHxASEoLQ0FCEh4fLJcrNzs7GypUrERsbiy1bthAJZhUxZxPiR7y8vLBp0ya5jtXS0kLLli1hZmaG9u3bo1u3bjAxMYFIJIKTkxOePHnCe3wAsLKyQrNmzThrzpiYGDx69AgmJiacY8U3q2vVqkXdmGQwvhWYr/gfzFcw+FJQUIC0tDS8e/cOaWlpSEtLQ506dTBkyBCljaGiooLVq1fjypUrnPlBYWEhrl+/jpEjRxLnVJe48PdIdfCp2dnZmDJlCq5cuSLX8Xp6emjdujXatWsHc3NzWFpaliXEbdy4kff9ljJ69GisX7+eE7ejVQgYqu8AACAASURBVIinVWq1srJC06ZNBY/NqFyqqy/8HqkOcaQnT55g7NixePHihcxjRSJRWRypQ4cOZT6oTp06+Pfff3H48GEhtw2gZG9SPOZ7/PhxDBo0iGM7e/YstbIpiyNVP5hYkMFgMBgMHtjb23M2x3Nzc3H+/HnOxPnx48ecDU1VVVWlVHOjlehXRrsyWgZKdRML0oSSirz3rKwsXmLBoqIiTJs2jRoQEolEMDc3R7du3WBmZoZWrVqhZcuWEsVHiooHunXrhpYtW3ICtQ8ePMDjx4/RqlWrMpt4kBUAyx5kVDl8qpbq6uoStuzsbDRo0ECZt8QbLS0tDB8+HMOHD0dRURFiYmJw7do1XL9+Hbdu3ZIqZL569Sp+++03rF+/nrimODQhNx/4VgoLDQ3F0qVLqa/p6enBxsYG5ubmMDExgbGxMQwNDSUu8BX1c66urhyxIACcOHGCIxZ89uwZcUyvXr1gYGCg0NjfAp06dYKWlhbnO3Tnzh0MHz4cAHDt2jXiM5Kn6p/48V5eXhzbrVu3JIoFmzRpIlf7MNpzX1xcXCnPvbKfw8psKasoOjo6RNa4iopKlfpbkUiEzp07o3Pnzli0aBHevHlT5muvXbtGVMssT1ZWFtzc3BAWFoYffviB81pFzCn58PnzZ0yYMIEqFFRVVUXXrl3RpUsXtG3bFsbGxmjevLnEebkQUXh57Ozs4OHhwfmeh4SEICsri/N3Ep9TqqiowNnZWaGxGd8etGoLVY2uri5Gjx6N0aNHo6CgAPfu3cP169dx/fp13LlzR+o9nzp1CkZGRli4cCHHrmwfIuT8o0ePShT/6Ovrw9raGubm5mjVqhVatWoldW6kyJxNJBLBxcUFq1at4tj9/Pzw+++/l/07MjKSJbExvjuYr/gfzFcw+HLmzBlMnz6dY2vTpo1SBTIAULduXQwePJioyvbo0SPi2OoUF65KqqoTUXXwqQsXLpQoFDQ1NYWVlRXat28PY2NjGBsbS2y1rOjnb2hoiJ49e3LuJS0tDVeuXEG/fv3KbH5+fsR6ka3hvi6qoy9UJtVx/SgJZccL+cbsc3JyMHHiRKpQUFVVFV26dOHEkVq0aCExjqSoDxo6dCgWL17MeQ8XL15EZmYm6tatW2ajVTZlPqh6wsSCDAaDwWDwYNiwYViyZAlnUhUYGMgRC4pXFezZsyf09PQUHpu2yExJSUFxcbFCGRniwTgAvFq/VQZGRkaETdomsSzEWyPK4sCBA9QqSX369MHy5cvRokULua+lSEXEUkaPHo0VK1ZwbCdPnsS8efMAlARvxNvFNWnSBN27d1d4bAYDEL6w5FMNVZJA+suXL9SMvqpARUUFHTp0QIcOHTB9+nTk5eXh5s2buHDhAk6dOoX3798T5xw7dgzTp0/niHubNGlCHJeeno6cnBzB4m0+fi4nJwdz584l7HXr1sWSJUswatQoToayPNdTBDs7OyxZsoTzfTl//jxyc3PL2jwEBAQQ5zFBdAmqqqqwsrJCaGhome3OnTtl/188u7xmzZqwsbHhNUb79u2hp6fH+Y6XryYpXq1M3sqFtOee9hxVBLTnsDLnGlWJrq4uIRbk01KrMmjYsCFGjhxZNud+8uQJQkNDERgYiHv37hHHf/jwAdu2bYOHhwfHbmRkRFQ+rczP2cvLC0lJSYR95MiRWLx4MS+BpqK+tlatWrC3t4ePj0+ZLTc3F+fOnSsL4r5+/Rq3bt3inGdtbV1WqZTxbSJEiKqMivcVSakYt2vXrpg9ezZycnJw/fp1hISEICgoCJmZmcQ5O3fuxJQpUziiY9q69OXLlwrdGx8/kpaWhiVLlhD2Bg0a4I8//sCwYcN4xQYU9SPOzs5Ys2YNZ21w+vRpLFq0qOw+aHM21laU8a3DfAUX5isYfKCtCRMSEpCRkSFRgCUUWjw3IyODsFW3uLAyEBLXq6r5nrJ96pcvX3gJfUJDQ3HixAnCbmFhgZUrV6JDhw5yX0tZ+wLiwsWTJ09yxIKnTp3ivF67dm2lFLNgVB7V0RdKQog/UbQ6aGXSpEkT3L17l2OrzDjS2rVrkZiYSNgdHR2xePFiNGzYUO5rKeqDNDU1MXz4cBw8eLDM9uXLFwQHB8PFxQVAyTyUVtmUFndlVD0qsg9hMBgMBoNRip6eHqytrTm2q1evcrLRTp8+zXldGS2IAaBp06ZQU1Pj2LKysgS3AimF1iqyWbNmCl1T2RgbGxM2eds+0Hj48CGv4/fv30/YevfujX/++YdXQAgA3rx5w+t4Gs7OzkQrv/Lfu7CwMGJBN2rUKFbmmyEI8fZrQEkrBCEbyW/fvpX72GbNmhHf2aKiIjx48ID3uJWFmpoaevXqheXLlyMiIgIzZsygHicu5tXW1iYW9oWFhbx9VXliY2PlPjYwMJAQBqmqquKff/6Bq6srL6EgoLifKxWwlCcrKwuXLl0q+3dgYCDndR0dHdja2io07reEeMvmhw8flrWZLV8hGQA6d+5MzdSXhkgkIgSApc9mUlIS8azLKxak/aaKt0yuKGhzDUX8jSLPb2VDq/ootJV4ZdGyZUv89NNPCAoKwrFjx6iJOeK+FqjaOWVOTg7RPh0A3NzcsGnTJt6VHJUxpywN5pan/Jzy9OnTxO8927j/tqDN84RUeeAzx6sOaGpqYsCAAVi9ejUiIyPh6upKHJOfn48LFy5wbLQ1eUZGhlztoGgUFxfL3WYdKEk6Ed9Yq127Nnx9fWFnZ8d7vaeoH9HX1yeqE6ekpOD27dsASuazZ86c4bzetGlTWFlZKTQug1HdYb6CC/MVDD60bNmSsBUWFuL8+fNKH6t0jVye0gTF8lS3uDBfaPM9IVUCq2q+p+y1enx8PK+YJu3zb9OmDY4dO8ZLKAiASNITgq2tLSEWCwkJKfs+x8XFEVXhhg0bhlq1aik8NqPyqI6+EAB1DiHEn1SFLxSKsn0Qn5h9bm4ujh49SthdXFywefNmXkJBQDl/d9raubxAOTAwkBCQsjhS9YWJBRkMBoPB4ElpG79Svnz5gpCQEABATEwMnj59WvaahoaG0sQLGhoa1AXo9evXBV+zuLiYer6ZmZnga1YElpaWhC0qKkpwRiOtAo0kEhMT8fjxY8Lu4eFBCPbkgbYY4Jt91aBBA062IAA8ffq0bLNbXETDynwzFEHS91xIuX0+LQx0dXVhYmJC2GnZ3PKSl5eHcePGYebMmVi9ejV8fHwIwXd5MjMzcefOHfj6+hIZhLLQ0NDAokWL0L9/f+K1hIQEwtatWzfCJvS9pqen4/nz53Iff+7cOcJmb2+Prl278h47Ly+Pmu3I18/RBCylgYf4+HjiuzR8+PBqU3GyOtCzZ0/Ov/Pz8xEdHY309HTi+8e3BXEp4gLA9+/fIzU1lWgPraqqKnflQtrv/f379xXKfD1x4gQmTJiAxYsXY8eOHQgMDKT+FtOeQUXG5uszqhLa3/3mzZsoLi4WfM0dO3Zg8uTJWLp0KXbv3o3g4GCJCS75+flITEzEuXPn4Ovry3ssa2trrF69mrAnJycTG+WS3qtQ+Mwpr127RrSb0dDQINqcyosy5pSdO3dG69atObbw8PCyTHfxJKg6deowYfY3Bm2eJ2SNVdFtqmSRnp6OiIgI+Pj4ID4+nte5tWvXxurVq2FhYUG8Jv6+VFVV0alTJ+I4oXO2hIQEXnPq4OBgwjZ27FjiOZaHtLQ06qY/Xz9C2ywq9R3Xr18nElKcnZ1ZEhvjm4f5ChLmKxjy0rhxY6r4Yffu3YKSVqVBW7OJd9upjnFhvtDus6JjesrE3NyciPekpqYKFmDzWcPl5ORQ2w8vWLBAUJt0SSIhPt8BdXV1TpcrgJtgK76GA5hQ52ukuvnCUmrWrEnYhPgTWmy8ukKLF966dUtwzIxPvPDGjRtEURB1dXX8/vvvgsZWxm+Qubk52rRpw7GVn8uJ+yAtLS0MGzaM550yKgsmFmQwGAwGgydDhgwhMoSDgoI4/1vKgAEDoKWlpbSxaRuc5VuH8eX69evUNsR82xFWNE2aNCGq3uTk5FAXv7IoLCwkWkVLgxZ4qFu3LkxNTXmPDdBFOUIWeLRA6/nz51FYWIiLFy9y7NbW1mjcuDHvMRgMoCQDmdYKNy0tjdd1cnJyeFeqolUS8PHxERwUOXPmDC5duoQTJ05g48aNmDdvHsaMGUMENc6cOQMLCwu0bdsW9vb2mDNnjmBfO3DgQMJGC6LQBFtCRDNAiTiKT8CC5udogRB5CAsLo1Yk4ht46NKlC6dVMwBcvnwZeXl51CxaFvjk0rp1a+jr63NsMTExRDtRAOjbt6+gMXr37k1s4D18+LCsQkgpnTp1krtyYbdu3Yhrfv78mdryRx6Ki4uxZcsWXLhwAfv27cPy5cvh7u4Ob29v4tgWLVoQLTGys7MJAb48FBQUCJqjVBU0X/v8+XNcvXpV0PVycnKwZcsWBAcHY8+ePVi2bBkmT55M/E3y8vLQr18/GBsbo3fv3pg0aRJ+++03QVXN+vfvT91QFhc9de3alaio8OzZM0Gb9+np6bh8+bLcxycnJxM2ExMT6Orq8h67sLCQ02q8FCG/j+Li7Pz8fFy6dAlv374lKnva29tT5wSMrxfaJiffOR4A6u9LZXDo0CG0b98e7du3x4gRIzBv3jyi7Zo8qKioUBM8aMJJWrVcWrUHeeD7+0bzI7QYgTxIqkrC148MGDCA06q5/LVLkypLUVFRwahRo3hdn8H4WmG+ggvzFQw+DB06lLDFxcVh+/btShsjNjaWmkDfpUsXzr+rS1xYEfEsbb4nLtCVh6qa72lqalJ9mFCf6ufnJ/exKSkp1M9H2T5VGQm2knxqs2bNBN8vo2qpTr6wFGX5E0WSNiubLl26EHu8ycnJuHbtGu9rZWRkEHt30qD9BhkbG6NevXq8xy4qKiIq5wPCBOvie5Ole5Lp6em4c+cO5zU7OzsWR6rGMLEgg8FgMBg8qVu3LtHe7+rVq9QN5REjRih1bEdHRyI4EBMTQ80alkVRURH+/vtvwt6mTRtqmfOqhiYE2b59O7VMujROnTrFq+Q/reKY0ADNxYsXickyIKxUe79+/Yh2dRcvXsTdu3eRmZnJsTMRDUNRxIP6QInv4cPp06eJCk+yoPnQ5ORkHDlyhNd1gBLxA83nde3aFQYGBhxbs2bNiI3yc+fOCRKw0N6zeLsQoKQliHjAJSkpifeGd25uLrVFijSU5ecKCwupf2Og5O/PF/HgZ3Z2Nm7evImwsDCO3dTUFObm5ryv/60jLvyPiYkhgnH169cXXE2Ydu7jx4+JDFnxOZM0dHV1qeLF7du3C6p05e/vT81WtrOzox5P25Tcvn0772ff39//q2rJaWZmRt3sWrdunaCg4c6dO/HhwwfCLv53V1NTg4aGBgoKCspseXl51A00WeTm5hIiaRUVFdSpU4dj09TUJNqcA8DGjRt5j7l//35e3w3xqoKA8Dnl/v37qe1jhMwpnZyciOoAFy9eRFhYGPE3ZXPKbw9lzPGECquVQePGjcsqYZYSGBgoqMqDvHM2Jycn1KhRg2OLiIjgXfE/IyOD9ya3suZsOTk52Lx5M/U1vn6kZs2acHJy4thSU1MRHx9PCKqtra1haGjI72YZjK8U5iu4MF/B4MOYMWOo39lVq1bh0KFDCl8/KysLM2fOJOYLRkZG6Ny5M3GsOFURF1ZELEib75V2p5GXO3fuVGklMNo65ODBg3j//j2v60RGRvKqLEhbwwHCPo/Y2Fii0EQpfGNmbdu2JeJgly9fLvOr5WHi66+X6uQLS9HT0yNsfP1JamoqwsPDeZ1TlairqxPd5oCSOBLfdec///zDaz9Tmb9BBw4cwKtXrwi7kJi9o6MjUfE1NDQUYWFhhMCaxZGqN0wsyGAwGAyGAMQnh7m5udi8eTOnSl/dunWJVrGKYmpqSt1EX7BgAV6+fMnrWps3b0ZERARhnzhxouD7q0hcXV0JIc2TJ0+wYsUKua/x9u1bLF26lNe4tAVQRkYG702058+f45dffqG+JkSApKqqSrQWjo6OxrFjxzg2bW1tDBkyhPf1GYzy0NoV8RHspaenU1tEyqJLly7U7Ndly5bxbn+yevVqJCUlEXaaz2vbti1Rle3Dhw/YsWMHrzGBkiqF4tCEbVpaWtTM4N9//52Xf1+9ejW1Yqw0aIFjIS3uly5dKtE3CvFzNAHLyZMnCTEaC3zSEW9FHB0dTVQC6NWrl0KbDuIVMe/fv69wm+MZM2YQtmfPnuG3337jdZ1Xr17B09OTsLdq1UqigNHNzY3Idk1ISICXl5fc475+/Zo6bnVGJBLB3d2dsN++fRtr167lda3Y2FjqpnLv3r1hbGxM2Glz5XXr1vH2GbRNFxMTE2p78okTJxLf+/DwcOzbt0/u8R4+fChx81wSNF8bGxtLCJ1kcfv2bYnzXyG+Vk9Pj6iCe+XKFaJyYatWragtFRlfN7Q5XkREhMS24TS8vLx4f4+VhaWlJVHlISkpibewJj8/nypU7tChA2Fr1KgRtcrH3LlziRZR0liyZAnvDW7a2pRvRYuioiL88ssvSElJob4uxI/Qqt7v3buXmJOyjSLG9wTzFSTMVzDkpW3bttTk0aKiIixYsAAzZszglQhentjYWDg4OCAuLo54bfLkycQ6obrEhcW7HAHyi3Zp870TJ07ILRDJz8+Hh4eHXMdWFEOHDiXaoqanp2PBggVyi3U+f/6MOXPm8BqXtoYD+MfM0tPT4e7uzkmUK48QnyoeQ3z//j2RBKeiokIItRlfD9XJF5ZiYmJC2M6dO8drbuPh4SFIoFaVTJw4ESoqXFnVjRs3sGfPHrmvER8fzztRleaD4uPjec8N7927h+XLl1NfE+J/dHV1MXjwYI4tPDycqFzYvHlzdO3alff1GZUHEwsyGAwGgyGAwYMHQ0NDg2MTF5HQ2hUrg1mzZhHZye/fv8eIESOQmJgo1zU2bdpEFe60bdu22ooufvjhB0ybNo2we3t7Y9WqVTLPf/XqFUaNGsV7I8vMzIz4ewMlohh5gzI3b96Eg4ODxEl8Tk6OoOoX4gHU4uJiYmOMtYtjKAOamCM8PFyu1rxv3rzBmDFjBAcv5syZQ21L6uTkRM3IprF7925qiwYzMzMMGzaMsItEIowfP56wr1+/HmfPnpXzzksyDMXvUVVVlbppBACzZ88m2rV++PABzs7O1FZS4mzatAk7d+6U+/5Kad++PWELCgqSe0Pp06dPmDVrllShDd+qkkCJ3x8wYADHdvz4cU5wVVVVFSNHjuR97e8BcbFgQkICYmNjOTahLYhLEW+vdvHixf9n7z7jo6q6t49fkwYJIYFECKGGEHqXIihIlSIQQqRHVKqoICjVAoJ6S9MbpQhEBaSpNFGqgJRI8wYJIKEjHf6EnpACpDwv+ISHMH0Iaf6+77LPPvusDMPOmT3r7JVuJ7oCBQrYvetjvXr19Nxzzxm1L1++XIMGDbJpQfHy5cvq0aOHyb+7Q4cONVrgS1O4cGGTSXOzZs2yKWnuwoUL6ty5s12LpNlFSEiIyZ2lp0yZonHjxtl0n3LixAm98sorJp+SHj58uMlzwsLCjJKCT5w4oYEDB9q8eHzs2DF9+umnRu2mdhCU7s/9puaN0aNH2/R37dChQwoLC7N7Rx1TSUd3797VmDFjbB7j119/Vbdu3cw+ie7IXCsZf9F069Yto53L+eI+d2rQoIHR59rk5GQNHTrU6o4Hqampmjx5ssnS7pnF3d3d5OfX0aNHa8eOHTaP8/HHHxs9VOLp6WmyNLF0/2G9R+euc+fOqXPnzlbLcKWmpmr06NFavny5zfGlMTWPLFy40OaEhevXr6tXr14Wd4J0ZB4JCgoy2n3k0QeLvLy81KpVK7vHBnIy5or0mCtgj1GjRhlVVEmzYsUKPfvssxoyZIh27NhhNgErTUJCgrZs2aIBAwaoVatWRjuvSfcfjDG1DpRd1oUffThCksmdxk0xtaZ35swZjRs3zuq5cXFx6tu3r/bt22fTtZ4UNzc3jRgxwqh97dq1Gjx4sNX3QGxsrMLCwvTPP//Ydd3ixYubLPc5btw4o8o+5hw+fFjt27e3+DCOI3NqSEiI0X38o3Nqw4YN2ak1h8suc2EaU/NJbGysRo4cabWk+r179zR8+HCHqklktQoVKpj83Pnxxx9r/vz5Vs8/evSounfvbndinqk1+6SkJI0ePdrm7xNXr16tLl26PPF1pNjYWKMHeVlHyv5IFgQAwAH58uUz+uLg0S80Q0JCnsi1a9euraFDhxq1nz9/Xi1bttSkSZOMymdK9xca//e//yk0NNTkDjnu7u6aPHmyXFxcnkjcGeHNN99UlSpVjNqnTp2qjh07mtzyPDExUQsXLtQLL7yg48eP233NggULGiVcSPcXerp06WJ2sTU1NVW7d+/Wm2++qY4dO1osR5iammrzAsPDypQpo7p166ZrY5tvPAmtWrUyuTvTiBEjNH78eJNb4sfExCg8PFxNmzZ98H/TYDDYnUTdoEEDkzuNXb9+XaGhofrwww/NJtIdOnRIvXr10pgxY4w+QOfNm1f//e9/zT4p+corr6hQoULp2u7du6d+/fppxIgRFhcY0xJdTCVld+/e3WjXwjQ+Pj4mE15Onz6tF154QbNnzzb5Af7IkSPq0aOHXbufPcxUQk1KSop69uyp2bNnKyEhweR5165d0zfffKNGjRpp6dKlFq/haPLUowsPj85xzZo1M/uk97+dn59fuid+7927ly6Rz8nJySjZz1516tRJt+vvo4teDRs2NJuYZ8nUqVON/v9J0tKlS9W0aVOtXr3a5BczCQkJWrhwoZo3b27y6egXX3zRZILwwwYMGKBKlSoZtU+ePFmdO3c2+Xc/ISFB8+fPV4sWLezajSs7cXV1VXh4uMkHDKZNm6a2bdsqIiLCZFnimJgYff3112rdurXJkiavv/66atSoYfK6/v7+6t69u1H76tWr1bp1a23YsMFsKeS4uDjNnTtXISEhRnOMr6+vXnvtNZPnSfe/3Ht0Lk5JSdGwYcPUv39/kzvRxsbGaurUqQoODjZ5r21NtWrVFBAQYNS+bNky9e3bV2fOnDF53r1797RlyxZ169ZNb7zxhsWFXEfn2saNG5t8PdI4OzuTmJ1Lubu7GyXmS/d3F+zYsaPJOS81NVXbt29XaGhoukTqR7+szCz9+/c32oE+Pj5e3bp10yeffKILFy6YPffgwYN65ZVXNHv2bJPjenh4mDyvdOnSJr+wjoqKUtOmTfXTTz+Z/CIoMjJSoaGhDidYmrpnS0xMVJcuXfTTTz+ZTVq4dOmSpkyZokaNGhnt9vAoR+eRR3cMe/SejYfY8G/EXGGMuQK2Kly4sGbOnGn2/uLOnTv68ccf1alTJ1WsWFEdOnTQu+++q08//VQTJ07UqFGj9NZbbyk0NFSVK1dWWFiYfv75Z5OfLTw8PBQeHm6U3Ctln3VhU5+Ply1bZtND8c8884zJdahZs2Zp0KBBJpMOExMTtWTJEjVr1izdfJBV93uS9NJLL5m8b126dKlat26tHTt2GK39JSUladWqVWrWrJnJCkvWODs7m3zg98SJE+rQoYN27txp9tyoqCiNGDFCrVu3tpqk6Mic6uXlZRQb3wvkPtllLkxTqlQpk+s7K1eu1KuvvmpyLSUpKUm//fabWrdurYULFz5oz8r5xBEffvih0Q6nKSkpGjlypPr27WtyPTA2NlbTp09X27ZtbU7wfljlypVNPti7YsUK9enTx+TrLd1/zSMiIhQWFqZ+/fopLi7O7DUcvaczlYz88BzEzqY5Q/bNBgAAIJsLDg42WV5Suv8FvaldcTLKwIEDdfDgQaPrJyYm6ssvv9SUKVNUtWpVFS9eXPny5dPVq1d16NAhszt7ubq6atq0aSYT8bKTPHnyKDw8XB06dDC6ud65c6datWqlMmXKqHz58vL09NTly5f1119/6fbt2+n6NmzYUH/88YfN1x05cqQiIiKMPnD/73//U8uWLVW6dGlVrFhR3t7eunv3rqKjoxUVFWVywaZw4cJ66qmnjHZ3On/+vAoUKGBzTGm6du1qdrHD1FPbgCOKFCminj17Gu2gmpKSoqlTp+qbb75RrVq1VLx4cSUnJ+vs2bPav3+/0RcfgwcP1pIlS8yWMjJn+PDhOnTokDZt2pSuPSkpSXPmzNGcOXNUsWJFBQQEqECBAoqJidGhQ4fMfmA2GAz67LPPLM55BQoU0MSJE9WzZ8907ampqVqwYIEWLFiggIAAVahQQd7e3g8Wd48ePWq2DHBgYKDee+89i79rx44ddeDAAaMvhmJjYzVq1CiNGzdOtWrVUpEiRRQXF6cTJ04YlX11c3NTzZo1jUrOmvPss8+qcePG2rJlS7r2+Ph4jRo1SuPHj1f16tXl7+8vNzc3xcTE6J9//tHRo0dNPjVqaixbdkY0pUmTJipSpIjZv18sfFrWoEEDsyW7q1atavIJeXu4urrqueee0/r1600et7cEcRo/Pz/NmDFDPXr0MEpW/eeff9SvXz95enqqZs2aKly4sAwGgy5duqR9+/aZXQArX768/vvf/1q9dt68eR/cazyaELZ9+3a1bNlSQUFBKleu3IN7jT179hhd1957jeygQoUK+uKLLzRw4ECjheN9+/apW7du8vHxUfXq1fXUU08pOTlZ586d04EDB8w+Hf3ss89anfc++OADbd261WjuPHz4sF577TV5e3urSpUq8vPzU968eRUXF6ezZ8/q8OHDJp+MNhgM+vzzz+Xl5WX2mj4+Ppo1a5a6detmlHy3cuVKrVy5UpUrV1ZgYKDc3Nx08eJF7d2712RCrD3/zu+//7769etn1L5mzRqtXbtWFSpUUFBQkPLnz6/ExERdvHhRUVFRJpPyg4KClJiYmO5v6s2bNxUbG2u0S601zs7O6ty5t1vdXQAAIABJREFUs6ZMmWLyeJMmTczuZoCcb9iwYVq3bp3RThSRkZFq2bKlypcvr4oVK8rd3V3Xrl3TgQMHjP4uBwYG6sUXX9S0adMyM3RJUrFixTRmzBgNGzYsXXtSUpJmzpypWbNmKSgoSGXLlpWXl5eSk5N148YNHTlyxOw9ac2aNfXmm29avG7//v31999/65dffknXfu3aNb377rsaM2aMatWqpUKFCik2NlaHDx82mue8vLxUunRp7d+/36bftV27dpoxY4bRQ3I3b97Uu+++q7Fjx6p69ery8/OTs7Ozbt26pePHj+vkyZNGX54bDAY9//zz2rp1a7p2e+/T0wQHB+ujjz4y+3eYezb8WzFXpMdcAXs888wzmjt3rnr16mXxgZn4+Hj973//cygZLH/+/Jo7d67JUr1pssO6cFBQkFHb2bNn1bBhQzVs2FCenp66fv262rdvr/bt26fr5+rqqqFDh5rcfGDp0qVasWKFatSooYCAADk7O+vixYuKjIw0Wk8PDg5WTEyM0XpPZjEYDJo8ebJCQ0ONNgQ4dOiQOnXqpGLFiqlKlSoqUKCArly5osjISN24cSNd3+rVq+v06dM2P7g/ePBgLV++3Og9ePToUXXs2FFFixZV1apVVbBgQSUnJ+vatWtmv4fx9PRUhQoVtGfPnnTt586dc+h7mW7dupndgdbb29uoTChypuwyF6YZOXKk0cPdkrRp0yZt3rxZVatWVVBQkNzc3BQdHW3y/2HdunUVGBhoVCUrOytYsKDCw8PVtWtXo/lxzZo1WrNmzYN1pDx58ujixYv666+/Hnsd6YMPPlCvXr2M2tetW6fffvtN5cuXV9myZR+sI126dElRUVGKiYkxOicwMFBJSUk6e/bsg7bY2FjdvHnT7u8mnZyc1KVLF7NrrY0aNZK/v79dYyLzkSwIAICDmjVrJk9PT6MbQ0lq27atQzvp2MpgMGjmzJn65JNPFB4ebnQ8JSVF+/fvt2khsUCBApo1a5YaNGjwJELNcKVKldLixYv18ssvm0w+OXnypMVdfcqXL68vvvjCaEc+S6pWraqxY8dq1KhRJo+fOnXKbFLSw+rXr6+pU6fqhx9+MFoU2rFjh0OLAu3atdPo0aNNvg9ZZEVGGjJkiHbu3GlyXklMTNT27dstnv/aa69p6NChWrJkid3XdnZ21pw5czRq1CjNmzfPZJ/Dhw+b3EnsUS4uLvriiy9serKtRYsWGj9+vN577z2TW/ufPn3abGLgowICArRo0SKLyStpPv74Yzk5Oembb74xOhYfH29xQcFgMGj8+PE6cOCAzcmC0v1d00JCQkzubBUXF2dTKT9PT099/PHHCg4OVrly5dItpO/atUupqalmd3I0x9nZWZ06ddLUqVONjj311FNmywPivueff97sjiSOJvI9qlGjRmaTBZ9//nmHx61fv76WL1+unj17mlxkv337ts2LazVr1tS8efNsTqAqXbq0lixZorCwMJM7Up04cUInTpwwe37FihU1adIk1atXz6brZSft27eXt7e33njjDZMLi9evX9fmzZttGqtZs2aaNWuWxafSpfs7di9atEidO3c2+cXzrVu3rP6NSePs7KwJEyaoRYsWVvvWrl1bCxYsUK9evUw+SR0VFaWoqCiz5zdo0EAjRoywa5G3TZs26t27t8n/l6mpqTb/LQsODtbEiRP1/vvvG71mO3futOn3f1TXrl01depUk3/vuKfM3YKCgvThhx+aLYl99OhRs4nnklSyZEn9+OOP+vnnn59QhNZ1795dly9fNlkyPjU1VcePH7d5l/mqVatq7ty5JnfVfpjBYNCUKVPk7Oxs8kvamJgYi/Oli4uLpk6dqp9++snmBCAnJyfNmDFDISEhJkuY3rp1SxEREVbH8fHx0eeff67KlSvrmWeeSXfMnvLND8uXL5/atWtn8gu/smXL6umnn3ZoXCCnY65Ij7kC9mrYsKHWrl2rAQMGmKwo8zgqVqyo6dOnp9uR35TssC5crlw5lStXzuhh0Zs3b6YrGe7j42OULCjdv5/ftGmT1qxZY3QsKSlJe/bsMUpge1jTpk315ZdfmkxYyUw+Pj4PPqub+qx24cIFi7tK+/n5adasWWrdurXN1/T399eUKVP0+uuvm9yN7eLFi7p48aLVcSpWrKgZM2YoMjLS6LXeuXOnXTGlqV+/vgICAkyuTbZv3z7H7dwG87LDXPhwLH369NG3335rdCw1NVUHDhzQgQMHzJ5fvXp1zZ07V5999pnDMWeVmjVrasGCBerZs6dRAqRkfR2pfv36ev/99+36/96yZUv169fP5PfAqampOnLkiMmS0o9q06aNPv/8c3300UfpkgUlx+egLl26aPLkySbXkUyVbUb2QxliAAAc5O7ubvaLuA4dOjzx6zs5Oemjjz7SzJkzTZY0s+X80NBQbd26NcckCqYJCgrSunXrTC5+WFK3bl0tXrzYoR38evXqpUmTJjlUDsXX11efffaZlixZIn9/f9WuXduoz7p16+weV7q/Pbyp14FycchoHh4eWrx4sd0l1t3d3fXpp5/qP//5z2Nd38XFRePGjdPUqVNVsmRJh8aoUqWKVq5cadcW+D169NC8efNUokQJh67p5OSkbt26ae3atXaNMWbMGM2YMcOuErt58+bVV1995VBSR+HChbVkyRK7Eqkf1rp1a23cuFFdunSRu7u7KleunO74lStXLC48W9K1a1eTSYahoaFyceH5N0vq169vNlGrSZMmGXINc0mH5cqVMyrPYa9q1app7dq16tixo5ydne0+39XVVW+//baWLVtm9y6KZcuW1W+//Wa1bPGj6tWrp8WLF9uUGJxdNW7cWKtXr3Yo4Uy6/yXw2LFjNXfuXJvvm0qVKqVff/3VZIknW5UvX17Lly83Km9nyTPPPKP169fbvSN4mzZtNHfuXKuJkKaMHTtWQ4YMceg9XaJECYWHh2vGjBnKnz9/ht5TlipVSvXr1zdq9/Hx0QsvvODQmMg5+vbtq6lTp8rb29uu89JKwz9afigrvPPOO5o+fbrJMn22cHV1Vd++ffXzzz/bfP+VlsQzfvx4u+Z9b29vzZ4922QpPWtKly6tZcuWqVKlSnafm1YKatOmTWrZsqWKFy9uVJbwyJEjNj8M8yhTO4xIJBwDzBXpMVfAXkFBQVq1apUmTpyo4sWLP/Z4vr6++uijj7RmzRqbk2Oyw7rwf//7X6vXfzQJMU1aEvEbb7xh1+cQZ2dnvfnmmzY9SJFZChUqpF9//VU9e/a063cpV66cli1b5tD6XuvWrfXtt986VJ0hX758GjZsmNasWaOyZcua/Pdfv369ycod1hgMBrNzJ3Nq7pMd5sI0aQnU9iakdurUScuWLbP7c2d2UqdOHa1fv95kiXpLWrdurXnz5snNzc3ua44ePVrDhg1zaB28ePHimjFjhsLDw+Xl5WVyDlq7dq3d46aNbep1KFCgADub5hAkCwIA8BiCg4ON2gICAlSzZs1Mi6Fdu3baunWrPv/8cz333HNWbzaLFCmiXr16acuWLZo6dapdiSjZSYECBfT111/rl19+UZs2bSz+3gEBAZowYYKWLVv2WL9v9+7dtWnTJvXq1cvqB5o8efKoXr16+vTTT7Vjxw69+uqrD5JdnnvuOaOF1j///NPmp8Qf1a5dO6O2xo0by8/Pz6HxAHM8PT01ffp0/fzzzwoODpanp6fZvl5eXnr11Ve1detWo1K+jyM0NFQRERGaNGmSGjZsaHVRws3NTU2aNNG3336rNWvWqFq1anZfs2nTptq8ebM+//xz1a9f36bFyCJFiqh3794PznMkcSg4OFjbt2/X8OHDVapUKbP98uTJo5deekmbN29+rCThYsWKaenSpfryyy9Vo0YNq/1LlCihsLAwrVu3Tt9++226BVdTcZh6AtIWAQEBJv/dWPi0Ll++fCZ35/D29s6wXTsCAgJMPrTwOLsKPqxw4cL66quvtHnzZr366qsW/y+kKVq0qAYMGKA//vhDI0aMcPhLjYIFC2rWrFlasWKFXnzxRYv3GoGBgZo0aZKWLFny2OWds4PAwEDNmTNHa9asUefOnY3uW8ydM3LkSG3fvl19+vSxe5dtPz8/ffPNN1qxYoW6detm08MdefPmVbNmzRQeHq6NGzeaXPS0plixYlq8eLHmzp2rRo0aWYy7atWqCg8PV3h4uENfFEr3v9B59913HyTCWvs7li9fPjVp0kRfffWVIiIi1KZNmwfHgoODjd6XK1asUHR0tEOxmfps06FDB4eSIpHzhIaGatu2bRo8eLDKlCljtp/BYFD9+vU1Z84czZ8/P1vNeSEhIYqIiNCnn36qmjVr2jQPlSxZUm+99Za2bdumMWPGOPR/u0ePHtq+fbsGDhxocb708PBQjx49tGXLlsfaHTnti8Jx48apQoUKVvsHBgaqd+/e2rRpk7766qt0CZWP3rOlpqY6fM9Wp04dowcFeIgN+P+YK+5jroAjXFxcFBYWpp07d+qHH35QWFiYgoKCbK5ekFaS9euvv9bu3bvVr18/uxM2snpduGbNmlq1apXF9ZqjR4+a3P1Ouv8afvjhh9q4caPCwsIsrpHnzZtXISEhWrdunT744AOHHnR6kvLmzatPP/1UGzZsUOfOnZUvXz6zfYsUKaL3339f69atU+nSpR2+ZosWLbRp0ya9/fbbKly4sMW+Li4uqlmzpkaOHKldu3Zp8ODBD95vgYGBRt8dnTt3TqtXr3YoLlOf4cqXL2/Tuh5ynuwwF6bp37+/IiIi1LdvX4sPj7m4uKhZs2Zavny5vvzyS4fXUrKTokWL6scff9T8+fPVpEkTi3Nk5cqVNXPmTH377bfy8PBw6HoGg0GDBw/WunXr1LlzZ6uvoYeHhxo3bqzJkycrIiIi3TzRtm1bo3WolStX6tKlSw7FZmoOCgkJyTYJ5rDMkGpqX0gAAJBjxcfHKzIyUtHR0bp27Zri4uLk6ekpPz8/VaxYUYGBgXaXgcwJ4uLiFBkZqZMnT+rWrVtydnaWn5+fqlataveTUbZISUnRkSNHdPjwYd24cePB6+zj46OiRYuqevXqmbbVf9oT6g8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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax =plt.subplots()\n", + "ax.plot(count_18['count'], linewidth = 2.5, color = purple)\n", + "\n", + "plt.grid()\n", + "ax.set_facecolor('xkcd:white')\n", + "\n", + "plt.xlabel('Time of week', fontname = 'Libre Franklin', fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold')\n", + "ax.set_ylim([0,15000])\n", + "\n", + "ax.grid(color='k', linestyle='-', linewidth=0.2)\n", + "plt.ylabel('Trips per hour', fontname = 'Libre Franklin', fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold')\n", + "fig.set_size_inches(6.1, 1.8)\n", + "\n", + "\n", + "\n", + "ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))\n", + "plt.yticks(range(0,16000,5000), fontsize =9)\n", + "\n", + "ax.set_xticks(range(0,180,12))\n", + "ax.set_xticklabels(['0','12','0','12',\n", + " '0','12','0','12',\n", + " '0','12','0','12','0','12'], fontname = 'Libre Franklin', fontsize = 7, color = '#777777')\n", + "\n", + "ax.xaxis.set_minor_locator(ticker.FixedLocator(list(range(12,180,24))))\n", + "ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['Monday','Tuesday',\n", + " 'Wednesday','Thursday',\n", + " 'Friday','Saturday','Sunday']))\n", + "plt.yticks( fontname = 'Libre Franklin', fontsize=9)\n", + "ax.tick_params(axis='x', which='minor', colors = 'k', labelsize=9, pad =14)\n", + "\n", + "props = dict(boxstyle='round, pad=0.3',edgecolor=purple, linewidth = 1.5, facecolor = 'w', alpha=1)\n", + "plt.text(0.01, 0.69, '7,500', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", + " verticalalignment='top', bbox=props, color = purple)\n", + "\n", + "plt.text(0.86, 1.03, '13,100', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", + " verticalalignment='top', ha = 'center', bbox=props, color = purple)\n", + "\n", + "ax.set_xlim([0,167])\n", + "plt.show()" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/charts/vfh_charts.py b/charts/rick.py similarity index 78% rename from charts/vfh_charts.py rename to charts/rick.py index 067b7f4..33949e8 100644 --- a/charts/vfh_charts.py +++ b/charts/rick.py @@ -158,7 +158,43 @@ def line_chart(data, ymin, ymax, yinc, ylab, xlab, **kwargs): fig.patch.set_facecolor('w') return fig, ax + + def tow_chart(data, ymin, ymax, yinc, ylab, **kwargs): + fig, ax =plt.subplots() + ax.plot(data, linewidth = 2.5, color = purple) + + plt.grid() + ax.set_facecolor('xkcd:white') + + plt.xlabel('Time of week', fontname = 'Libre Franklin', fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold') + ax.set_ylim([0,15000]) + + ax.grid(color='k', linestyle='-', linewidth=0.2) + plt.ylabel(ylab, fontname = 'Libre Franklin', fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold') + fig.set_size_inches(6.1, 1.8) + + + ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) + plt.yticks(range(ymin,ymax,yinc), fontsize =9) + + ax.set_xticks(range(0,180,12)) + ax.set_xticklabels(['0','12','0','12', + '0','12','0','12', + '0','12','0','12','0','12'], fontname = 'Libre Franklin', fontsize = 7, color = '#777777') + + ax.xaxis.set_minor_locator(ticker.FixedLocator(list(range(12,180,24)))) + ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['Monday','Tuesday', + 'Wednesday','Thursday', + 'Friday','Saturday','Sunday'])) + plt.yticks( fontname = 'Libre Franklin', fontsize=9) + ax.tick_params(axis='x', which='minor', colors = 'k', labelsize=9, pad =14) + + props = dict(boxstyle='round, pad=0.3',edgecolor=purple, linewidth = 1.5, facecolor = 'w', alpha=1) + + ax.set_xlim([0,167]) + plt.show() + diff --git a/charts/setup.py b/charts/setup.py index 9183b13..72aa82c 100644 --- a/charts/setup.py +++ b/charts/setup.py @@ -1,7 +1,7 @@ from setuptools import setup, find_packages setup( - name='vfh_charts', + name='rick', version='0.1', description='Standardized matplotlib charts and graphs', packages=find_packages(), From 5ee93b32680d7903cff5affa0ea5f03059af201e Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Mon, 8 Jul 2019 16:31:09 -0400 Subject: [PATCH 14/31] add automatic y axis --- charts/module_test.ipynb | 225 +++++++++++++++++---------------------- charts/rick.py | 44 ++++++-- 2 files changed, 131 insertions(+), 138 deletions(-) diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index 892d971..f8ae133 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 67, + "execution_count": 72, "metadata": {}, "outputs": [], "source": [ @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 73, "metadata": {}, "outputs": [], "source": [ @@ -43,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 74, "metadata": {}, "outputs": [], "source": [ @@ -84,7 +84,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 75, "metadata": {}, "outputs": [], "source": [ @@ -93,21 +93,19 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 76, "metadata": { "scrolled": false }, "outputs": [ { "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" + "ename": "TypeError", + "evalue": "line_chart() missing 3 required positional arguments: 'yinc', 'ylab', and 'xlab'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrick\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcharts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mline_chart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtotal\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'count'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Trips'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Time'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m: line_chart() missing 3 required positional arguments: 'yinc', 'ylab', and 'xlab'" + ] } ], "source": [ - "fig, ax = vfh_charts.charts.line_chart(total['count'], 0, 200000, 50000, 'Trips', 'Time')" + "fig, ax = rick.charts.line_chart(total['count'], 'Trips', 'Time')" ] }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 81, "metadata": {}, "outputs": [ { @@ -249,7 +228,7 @@ "Text(0.94, 0.96, '176,000')" ] }, - "execution_count": 55, + "execution_count": 81, "metadata": {}, "output_type": "execute_result" } @@ -261,7 +240,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 82, "metadata": {}, "outputs": [ { @@ -271,7 +250,7 @@ "
" ] }, - "execution_count": 57, + "execution_count": 82, "metadata": {}, "output_type": "execute_result" } @@ -282,7 +261,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 83, "metadata": {}, "outputs": [], "source": [ @@ -315,88 +294,7 @@ }, { "cell_type": "code", - "execution_count": 70, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0 4166.75\n", - "1 3010.75\n", - "2 2488.25\n", - "3 1598.75\n", - "4 1312.25\n", - "5 1878.00\n", - "6 3357.75\n", - "7 5286.50\n", - "8 7117.25\n", - "9 7524.50\n", - "10 6212.50\n", - "11 5883.75\n", - "12 5856.50\n", - "13 5716.75\n", - "14 6262.25\n", - "15 6701.50\n", - "16 7220.75\n", - "17 7958.50\n", - "18 8062.50\n", - "19 7240.50\n", - "20 6592.50\n", - "21 6027.50\n", - "22 5270.75\n", - "23 4201.50\n", - "24 2884.00\n", - "25 1857.50\n", - "26 1393.25\n", - "27 852.25\n", - "28 832.75\n", - "29 1704.00\n", - " ... \n", - "138 11153.80\n", - "139 11679.40\n", - "140 11650.40\n", - "141 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2xWFBIiIiIiKympSDZ/BW/xfwRtRzWP7yYmz6dA02fLQKi56ehxfCnsQXk95HUUahvdskIiI3VltZgxWvLlFWrzAtH7+8sFBZPaKmkqZbxq06jI0fr1bUDekhWYkOAD3G9FbUSf1GPToeRk8PUY1dc6JRVVqpqCNyJQUpeVapu+69Fdg6nUOqjbV/gSxV0OjpgYG3c2Wno+nYN0x0PiNWzcM1RLaQsCEWxzfGieuMeeJqBHduq6AjcgTiNcRMFiQiF8FhQSIiIiIisoroGRvxwYjXkBFX/4fJmqYhfu1RvD3oP0jaKrshSkREpNemz9YqT7vd9tVGnNgmSwYj0ivvVI64xrIXF+L07hMKuiE9EoXvjXuMi1TUSf1ahrbC5XcOFdWoLqvCrtnRahoil2KtYUEAWPSPeTj08z6r1XcVmqbhgHAFce+roxAQ1FxRR6RKB8EaYgA4G8dkQXIOFrMFS5/7SVzHr6UfJr50s4KOyFG0EK4hLsnmsCARuQYOCxIRERERkXLHN8djwZPfwWwyN/i9ZbmlmDbxAyQKE1SIiIiaqjS3BOvfX2mV2vP+8g1qK2usUpvoUgrS5Cs8LWYLZk35AuUFZQo6oqYoOluA3JPZus8bPT3Q7coeCjuq3/inJ4prbJm2Dua6hn9fIPdizWFBTdMw594vOdDfgPQjqchJyhLV4ApixxQU0QY+Ab66z589mipe6UpkC/t+3KlkbfZ1/7kZ/q0DFHREjqK5OFmQa4iJyDVwWJCIiIiIiJSqKqnE9w9+3aQzdTUmzLjpIyTvO2WlroiIiP5s9VvLUF1WZZXaeadz8OvLi61Sm+hSVA3aFKUX4PsHv4bFYlFSjxonaWuC6HznoV3hKxgEaayIy7ug28ieohoFqfk48utBRR2RqyhIlQ88X0pdbR1m3PwxMpiQdlH7f9olOu/VzBv9bxqkqBtSyWg0okOU/lXEFQXlKM3moAw5ttqqWix/Rf57WFCnYIx98moFHZEj8WvpD09vT93nuYaYiFwFhwWJiIiIiEipoysOoTijsMnnaipqMG3i+0qe/CUiImpIzoksbJ+52arX2PL5Opzew1WuZFsqU7niVh/Gxo9XK6tHDROvIB7TW1EnDZvw9HXiGps/W6ugE3Il1kwWPK+qpBLTJn6AQgVJrK7GYrHg4KI9ohp9bxgI3+bNFHVEqnWMkq0ijl93VFEnRNax5fN1KDrb9M8l/+im/94JL19vBR2RIzEYDAhs11L3+VKuISYiF8FhQSIiIiIiUip2VYzus5VFFfj8mneRc1K28oiIiKghv760CBYrr7/UNA3zpn4DU3WtVa9DdF5tVS3KckuV1vz1P4twejeHXm1B0zQkbZElC/YcF6mom4b1u3EQgru0FdU4vfsE08XpN5qm2WRYEACKMwrx5U0fo662zibXcxand50QD9kMmXyFom7IGjr0lQ0L7poTraYRIisoyyvF2veWi+uED4zA4Clcp+6qAkMCdZ9luioRuQoOCxIRERERkVIndySJzpfmlOCzq95FYXqBoo7I3jRNQ35KHjLi01FTUW3vdoiIcHrPCcQs3W+Ta2UnZmLVm7/Y5FpEhanqh2wsZgtmTZ6G8oIy5bXp9/LP5IqSzjx9vNDliu4KO7o0o4cR4/5+jbjOps/WKOiGXEFFQRlqKmpsdr2zR1P5M/oPDizYLTrfrIUfIq/rr6gbsoaOffWvIQbODZRmHc9Q1A2RWmv+uwzVpVXiOrd9cA+MRo5RuCpJsmBZXiksZovCboiI7IM/5YiIiIiISJnayholT1gWpuXjs6veQWkuVzs4s8yEs/jqtk/xz+BH8FKXf+DNvs/jqeYP46Wu/8CWaetQW8WkLSKyPU3TsPTfP9n0mhs+XIXUQ2dsek1yT/kp1lmpWXS2EN898BUsFt4Ys6bELbIVxF1HXGbzdXkjHh4D30DZutGYn/dzHSwBsN5r2KVs+nQNqsv5QBMAmE11OLhkr6jGwFuHwMvHS1FHZA0dosJhMBhENZguSI4o91Q2or/aJK7T57p+Nk1qJtsLDGmh+6xm0VCez4eoiMj5cViQiIiIiIiUyVe4MirnRBamXfseKosrlNUk2zDVmLD4mR/wVr8XcGTZAVQW/f7/w/zkPCx6eh5e6f4M0o+m2qlLInJXR349aPOVqhazBfOmfsNVh2R1hanWG7SJX3MEGz9abbX6BCRFC1cQj7X9jW3f5s0w8i/jRDUsZgu2Tt+gqCNyZrZaQXwhU1Ut4lbF2Py6juj4pnhUFJSLagyewhXEjq5ZCz9EDOkqqrF33g6+ryWH8+tLi2CpM4tqGIwG3Pr+3Yo6IkclGRYEzm3FISJydhwWJCIiIiIiZQqS1d7cST+SiunXf8jVtU6kJKsIn4z7LzZ/vrbBtRzFmUX4dMLbOBubZqPuiOR4U8y5mU11+OWFBXa59tnYNKx9d7ldrk3uw9qDNr++tAindiVZ9RruStM0JAmTBXuM7a2om6YZ+/erYTDKUqp2zNrCdDeyy7AgIE/1dBUHFspWEAeGtEAPOwwtU9MNumOo6HxZXiliV3LIlhxH8r5TOLRkn7jO8AdGo0Mf2apucnySNcQAlGzVISKyNw4LEhERERGRMvnJucprnt59Al/d+ilMNSbltUmt5H2n8M7gl3Fmz8lGn6koKMfMOz5rcLCQyF40TcO++Tsx847P8GLEU3jC9378O/RxfDz2LWz8ZDVfm5zMjllbkXsy227XX/P2rxyQJqsqSLXuoI3FbMGsyV+gPL/UqtdxR1nHM0QpJT7+PogY3EVhR40X1KkNBt42RFSjqqQSu7/bpqgjclb2GhZMP8K089qqWhxedlBUY9Adw2D04G1HZzDsvpHw8PIQ1dg5e6uibohkNE3Dz/+eL67j1cwbN7x5u4KOyNFJkwVLOCxIRC6A79qJiIiIiEiZfMXJgucd3xiHb++eDrNwnQhZz+7vt+Gj0W+iOLOoyWdzT2bj4KI9VuiKSCY7KROfjH8bc+6bgZil+1GYdm69Z2l2MU5sO46f/zUfr/X6F2J+2W/nTqkxqsuqsOqNpXbtwVJnxtypM/nzjKymwIpriM8rzijEdw98BYuFg/4qSVMFu4/qCQ8vT0XdNN2EZyaKa2yZto4PkLg5W7yG1ScjNg1mk3unR8etikGNMN2TK4idR/M2geh/8+WiGgnrY1GYXqCoIyL9jq44hFM75cnXE56ZiFYdWivoiBxdi3ZcQ0xExGFBIiIiIiJSJt+KSRBHlh3AvKkzeWPawZhNdVj0j7mY+/BM0XrWjZ+sVtgVkVxBah4+GPE6TkQnXPr7UvIw8/bP8PO/53PAwcGt/2AlyvLsn4aWdigZGz/max5Zh61SueLXHsWGD1fZ5FruInHrpX/eNMTeqz+7DOuOzsO6iWrknc5B7CqutXRn9hoWrKutQ2ZChl2u7Sj2L5Q9vBUU0QZdhnVX1A3ZwpVTx4rOa5rGRFiyO7OpDr+8sEBcp3mbQFzz3PUKOiJnIF9DzGFBInJ+HBYkIiIiIiJlCqywhvhCe3/YiUVPzYWmaVa9DjVOeX4pPr/2PWz5Yr24VlpMym+pbUT2Zqquxcw7PkdFYXmjz2z8eDW+mPQ+Kooaf4ZspzizCBs/WSOu4+mtJrVr5etLkZ2UqaQW0Xmm6lqUZNluJdbylxfj9O4TNrueK7NYLA0Opzekx9jeirrRb8LT8nTBzZ+tVdAJOSNN0+y2hhgA0g+n2O3a9lZVUon4NUdENQZPvgIGg0FRR2QLPSf0QevwYFGNXXOi+cAU2dXO2dHIScoS15n06q1oFuinoCNyBtI1xKU5XENMRM6Pw4JERERERKSMtdYQXyh6xkYsf3mx1a9Dl5Z+NBXvDHkFScIUnAvFrjqsrBaRxK4525B68EyTzyVsiMN7Q19BZsJZK3RFEiteXQJTVa24zpOr/o2giDbiOnU1Jiz7zyJxHaIL2XoVoMVswU+Pz+FabQXOHk1DZVGF7vN+Lf0Q1j9CXUM6Dbh1sHjw5MS240iLSVbUETmTisJy8RpcibSYFLtd294OLzuAuhqTqMaQKcMVdUO2YjQaMfyh0aIahWn5SNwcr6gjoqapLqvCytd/Ftdp270dRj0yTkFH5Cx8Anzh7eej+zzXEBORK+CwIBERERERKVFRVI6qkkqbXGvtu8ux7auNNrkW/dnBxXvxwYjXlSd/cO0cOYqYX/brPpt7KgfvDXsVR5YfVNgRSWTEp2P39/IVaQNvH4JeE6Jw36y/KugKOLLsAAdLSamCFNsn9J6NTcORZQdsfl1Xk7TlmOj8ZWN6w+hh/4/6PTw9MO7v14jrbGK6oFuS/m4RNWmA6Hz6kRTReWe2f8Fu0fnQyI7oEBWuqBuypREPjRYnQu6cvVVRN0RNs+Gj1SjLLRXXueXdyfDwUpMgT87BYDAgsJ3+dEGuISYiV2D/TxCIiIiIiMglFNggVfBCS579EdmJGTa9pruzmC1Y9p+FmDV5Gmora5TXT9pyDNV2TBMhAs4NPp/cdlxUo6a8Gl/d8glWvfkLLBau5bK3ZS8uhGaRra83enrglncmAwB6je+DK/8yVkVr2P71ZiV1iAD5oI1eHPaXS9wqGxbsMTZSUSdyV/5lLHwCfEU1Dizcg+LMIkUdkbOQDjz3mtAHPv76U4LSD6e45fu20pwScTLcYKYKOq3W4cHofU1fUY0jvx5Eeb58YIuoKYozi7Dx49XiOl2HX4YBtwxW0BE5G8kq4pJsriEmIufHYUEiIiIiIlLCFiuIL2SqNmHJv+bb9JrurKqkEjNu/hjr3lthtWvU1dbh+MY4q9UnaoyshAxYzGpuFK98/Wd8c+fnHIK1o6StxxC3Wr7ifPTfJqBtt3a//ffbP7wHLTu0FtfdM287air494PUKEi1fbIgAJzckWSX67oKs6kOJ7cnimr0GNtbUTdyzVr4YYRwraWlzozoLzco6oichXTguU3XEHTs30n3+ZqKGuSezBb14IwOLdkrfqhi8OQrFHVD9jDi4TGi82aTGXt/2KmkF6LGWvn6z0oeYr3tg7vF6ZrknALbtdR9tqKgHGZTncJuiIhsj8OCRERERESkRH5yrs2veXxjHCqLK2x+XXeTcyIL7w57RcnATUNiVzKdiOwr/4za17LDvxzA+8NfQ96ZHKV1qXFWvfmLuIZvYDNMeuWW3/1ZsxZ+uHfmVHHt6tIqHFiwR1yHCAAKUu2TLFiQksehaIHUQ8moEfzza94mEKGRHRV2JDfuqWvFN963z9xslSRrclz5wmHBoIg2COsfIaqRfjhFdN4ZHVgoex/SeWg3tOkSoqgbsod+Nw5CQHBzUY2ds7dC02RDp0SNlXnsLHbNiRbXGXDrYHQdfpm8IXJKgW0DRedLFazAJiKyJw4LEhERERGRErZOFgTOPcGesIFJdNZUkJqHT8a/jZykLJtcL271YWWpbkR65CkeFgSAzPh0vDvkFRzfxNcrW8o6noETwpXSAHDt8zeieZs/30iImjgAw+4fKa4f/dVG3lwlJey1hhgAshLO2u3azi5xi3AF8bjeDpeI06ZrCPrdNEhUo6KwHHvm7VDUETkD6cBzUKdghA+MENVIi0kRnXc2+Sl5OL37hKgGUwWdn6e3J664f5SoRlZCBs7sPamoI6JL++XFBeJEVKOnB255Z7KijsgZSZIFAaAsp0RRJ0RE9sFhQSIiIiIiUqIgxfbJggBwNjbNLtd1B6bqWnx+7Xsozii02TXL8kqRvP+Uza5H9EfWSkmtKCzH59e+h02freVgmI0cXnZAXKNlh9YY/49rL/r1Oz+5D4EhLUTXSD+cgpT9p0U1iACgIMU+a4gBIDOew4J6JW0VDguOjVTUiVoTnpkorrH587WwWPgQibuQvIb5BwXAt3kzhA+IEPWQfiRFdN7ZHBSmChqMBlx+5zBF3ZA9jZg6Rlxj1+xocQ2ihiRFJyBulXzrxahHxiHksvYKOiJn1UI4LFiSXayoEyIi++CwIBERERERKWGPZEGASTbWtPu7bTZLFLwQVxGTPaleQ3whzaJhyT9/wNyHZ8JUXWu169A5Klan3/TWHfD287no1/1bB2DyFw+Kr7Pt603iGuTe6mrrUJJZpPu8h5eH6PoZ8emi8+7KVGPC6V2yVK+e4xxzWLDblT0QPqizqEZOUhaOrTuqqCNyZJqmidJRgyLaAADa9+4IT29P3XXSYlLc6qGOAwt3i873GNsbLdq3UtQN2VP7Xh3E61gPLtqD6rIqRR0R/ZnFYsHS534S1/Ft3gyTXr1VQUfkzAJDhGuIs5ksSETOjcOCREREREQkJr25I5F5jMOC1mCxWLDh49V2uXasgqfEifSy5rDgeXvmbseXN37EgUErKs8vRfJeWUpph6gwDLuv4TXDA24djLbdQkTXOrBwD8oLykQ1yL0VpReIBly6j+opun4mhwV1Sd57CqZqk+7zrTq2RpuustcfazEYDJjw9HXiOus/WOlWw1vuqqKwHDXl1brPB///sKCntydCo8JEfRSm2S+l1ZbSDqeIU/oHTx6uqBtyBNJ0wZqKGhxctFdNM0T1OLR4L1IPnhHXuea5GxDYVpYOT85Puoa4lGuIicjJcViQiIiIiIjESrOLRTc6JfJO53DgxgrSYlJsMjRVn8z4dOTbafiU3FttVS2KBclcTXF8UzzmTv3GJtdyR/HrYsXDJbd9cDeMHg1/dGY0GjHq0Qmia9XVmLDn++2iGuTepD83u4/sBZ8AX93nM7iGWJfELcIVxOMiYTAYFHWj3qA7hqFlqCx17OT2RGxn+qrLkz54FtSpzW//Obx/hKhW+uEU0XlnsfWL9aLzHl4eGHDrYEXdkCMYdMcw+DZvJqqxc/ZWRd0Q/Z6pxoRl/1kkrtMytBUmPCN/mIGcn3hYkGuIicjJcViQiIiIiIjE7LWCGDi31jPbDqtyXZ29VwHb+/rknmydkHpgwW4kbZUNilD94tfIEkp7jo9E76v7Nvr7r3hwFDx9vETX3D5zEywWi6gGua/CVFkSVnCXtgiN7Kj7fGl2McrzS0U9uCPpz4CeYx1zBfF5nt6eGPvkNeI6S/41H9mJGQo6IkdVkCJ7DWvdKfi3/xw+MEJUKy0mRXTeGZTnl2L/AtkK4j7X9Yd/qwBFHZEj8A3wxeDJV4hqJO87hQymDZMVbJuxUcnv6ze+eQe8/XwUdETOLjBEli5ZwmRBInJyHBYkIiIiIiKx/GRZAp00cSSLq4iVi11l52FBO1+f3JM90jQ3T1tn82u6OnOdGcfWHRXVuHLq2CaldQUENRffXM09lYPETfGiGuS+5KlcwaJhQQDIPMZhrqaoqajGGeG69B5jeyvqxnpGPjJOfFPeVFWL2fd+ibraOkVdkaMRv4ZF/G9YMGxAhKhW2pEU0XlnsPPbaNTVyDYDDJ7CFcSuSLqKGAB2zY4W1yC6UEVROVb/d5m4TmifMFzxwCgFHZEr8G7mDd9A/WmqZRwWJCInx2FBIiIiIiISkyYLRk0aIDqfyWFBpYrOFth9/daJ6ARUlVbatQdyP3l2GBZM3BQPk/BmLf3emT0nUVms//XD6GFE72sanyp43ui/yVYRA8A2rtoknQpSpYM2bRDaJ0xUg0lCTXNqZxIsdWbd59t0DUHr8OCGv9HO/FsH4Ir7R4rrpMWkYMWrSxR0RI6oQJqOGvG/NcQd+4bDYNS/njvdxZMFzXVm8fsNH38f9LthoKKOyJFEDO6KDlGy9wN7f9jB329IqXXvrkBlUYW4zm3vT4HRg6MR9D+SdMESriEmIifHn4hERERERCRWYO9hwQQOC6oUu0q2vlMFs8mMhPWx9m6D3Iw9kgVrKmqQnZhp8+u6MulrWNcRl+laqxcxpKs4zejoikMoOlsgqkHuSTJoY/T0QMvQVujQR5gsyGHBJknamiA67wypgueN+8e1Sups+HAVkqJl/9zIMUkHni9cQ+zt54P2vTrorlWcWYRSF04Lil0Zg8I02XBmv5sGcY2nizIYDLhy6lhRjYrCchz59aCijsjdFaTmYcsX68V1eo6PROS1/RR0RK4ksF1L3WeZLEhEzo7DgkREREREJJafon/AxmAwoOf4SHh4eeiukZXAtXcqqVgBfOMbt6OvMG2Cq4jJ1qQr1fXia5ha8Wtkw4JRE/UNsBsMBox57CrRtTWLhh3fbBHVIPdUkKJ/8KN1WGsYPYziZEEmPTdN0tZjovM9x0Uq6sT62vUIRdT1soeDAEDTNHz3wFeoKCpX0BU5EskaYv/WAWgW6Pe7PxOvIrZzyro1bZ0uH7oZ+ch4BZ2Qoxp675Xw9PES1dg1e6uibsjdLX9liXhtOgDc9v7dMBj0p86Sa2rRTn+yYGVxJUzVtQq7ISKyLQ4LEhERERGRmGQNcYvQVvDx90VIj1DdNfJO5/ADGkVqKqqRuFl28/qer6Zi0iu3ot8Ng0R14tYcgcVsEdUgagp7rCEGgCymoypTkJonHliSpN0OnnIFmrXwa/gbL2HHt1thNtWJapB7MZvqRImUQf+/vjMwpAX8g5qeqnleZnw6NE3Tfd6dVBZXIPVQsqhGj7HOMywIAFf9c5KSOkXpBfjp8Tn8u+ZCNE0TDTwHRfx5HXe4dFgwRvbvp6PKiE8Xp5p27BuO7iN7KuqIHJF/6wAMuOVyUY3jm+Lt9iAWuY60wynY9+NOcZ2h916J8IGdFXRErqZ5W/3DggBcOomYiFwfhwWJiIiIHJSmaTgbm4aNn6zGvKnf4NOr3sb3D32NNW//inzBU/dEqpnrzChK13+DOrjzuRvUoZH6V0VpFo1rPBU5vile9NS2p48Xht47AgDECTIVBeU4s+eEqAZRY2maZpc1xACQdZzJgqrErT4iOh/UKRjte+v/eeTj74th940U9VCaXczVbdQkRRlF0Cz6B6eCOp17L2YwGNBBkC5YWVyJ4swi3efdycntiaL/z0IjOyIwRHZz09Z6jOmNPtepWf93cNFeJcMD5BgqiypQXVal+/z5gecLSZMF04+kiM47qujpG8Q1xj55DdO53MAI4SpiANj93TYFnZC70jQNS5+bL67j6eOFm966Q0FH5IpaCNYQAxwWJCLnxmFBIiIiIgdyfkDw15cX47Ve/8Jb/V/Az/+aj13fRSNx8zHsmbsdy19ZjFe6P4PvHvwKFYVcv0T2V5ReIEp/+21YsHdHUR9cfadG7ErZ6t+e43rDx98XwLkP3SKGdBXVO7pStk6UqLHKcktRW1ljl2tzDbE6ccIVxH0mDhDfAB/92ATReQDY9vUmcQ1yH5L1nQDQutP/UrlCI4Xvx+LTRefdReIWWYrzZWN6K+rEtiZ/8SB8mzdTUmvBk98ztcpFSF/Dzg88XyisfydRzbSYFNF5R1RZXIG9wiFbv1b+GHL3cEUdkSPrMbb3b5/V6LXru23cFEC6HVsfK956AQDj/n5NvT8niAAgULCGGABKszksSETOi8OCRERERHamaRrSj6b+bkBw7Tu/IudE1kXPWMwW7J23Ax+NfpPpHWR3khXEABAU0RYA0F56c5rDgmIWiwVxq2WDNn2vH3jJ/95UsSsPic4TNVbemRy7XTv3ZDbqarl2Vqq2sgZJwgGcvsJEVABo36uDeJAnaWsCEyep0aSDNsEXpHKFCpIFASAznu/HGuNEtGwNaM9xzrWC+Lw2XUIwedoDSmpVl1Vhzv0zYK4zK6lH9iPdnFBfsqBfS3+06Rqiu2b+mVxUFldI2nI4u7/bJn4w5sqpY+Ht56OoI3JkRqMRIx6WpQsWZxTi2Pqjijoid2IxW7D0uZ/Edfxa+ePaF29U0BG5KmlSd0l2saJOiIhsj8OCRERERHZw4YDgqz2fxX8HvNjggGB9Mo+dxefXvscbJGRX0kSP/yUL6l/7CIUGYp8AACAASURBVHCNpwqpB8+IV2hE/XFY8AbZsGB2YiZyT2WLahA1hr1WEAPnbobknuTfc6nELcdgqta/Rt2rmbeytK7Rf5OnC25nuiA1UkFqvuj8hYM2HfrIHt7IOMZkwYaU5ZXibGya7vMGgwGXje6lsCPbGnb/SAy6c5iSWqd3ncC691YoqUX2I04WjAiu98/DBsjSBdOPpIrOOxKLxYLoGRtFNQwGA0Y/fpWijsgZXPHgKBiMssTtnbOj1TRDbmXPvO1K0qonvnQz/FsFKOiIXFWgcA1xGdcQE5ET47AgERERkQ1lxKX9aUBQOhyQGZ+OHd9sUdQhUdNJkwWDO59LFmzTrR08vT1118lisqCYdAVxWP9OaB0W9Ls/69g3HK3+8GdNJe2LqDGkw4Kdh3YTnc9K4GuYlDQZtef4SHg381bSS/+bLxffeNgzbwdqKqqV9EOurSBV3RpicdIzkwUbJE0VDBvQCf6tnffGt8FgwD1fPYxWHVsrqbfqjaVI3n9KSS2yj4IU2cBzcD3JggAQPqCzqG5aTLLovCM5tvYo8k7LUrT73jDwov+syTW16tAafa7rL6oRuzJG/EAiuZfayhqseGWJuE5QRBuMeeJqBR2RK5MnC/L1jYicF4cFiYiIiGwg5cBpTJv4Pt7s94KSAcE/WvXGUq4vJLspSFGTLOjh6YGQHu1118k7nYvaqlpRL+4udpXaFcTAuRvC4lXEqzgsSNaXJ0xJjZokW1+bmcB0VAlN0xC35oioRtRE+Qri8zy9PXHl1DGiGlUllTiwcI+ahsilSQZtjB7G3w1t+bcKQMsO+oe4Mo+dhcVi0X3eHSQK16X3GOOcK4gv5N8qAA/NfQwGgyyxCjiXzjvn3i9RXc7hamelcuD5QmEDIkR1XSlZcMv09eIaY5/k0I07kr6ftdSZsWfedjXNkFvY9NlaFGcWievc/PZd8PLxUtARubLmbQNF58tyOSxIRM6Lw4JEREREVrZv/k68P/w1HFt31GrXKMsr5TAN2Y0kWdDDy+N3N6RDBWk2mqYhOzFT93l3V5hegLNHZTfELrZyuN+NsmHBkzuSUFlcIapB1BBJsqDBYECf6/qJrs9V6jKZ8ekoSi8Q1YiaKEtO+aORj4wXr27b9tVGaJqmqCNyVYWCQZtWHVvDw9Pjd38WKlhFbKqqRYEwddrVJW2VJQv2GKdmXbq99RgbiauenaSkVu6pHCx+ep6SWmR7kjXE/q0D0CzQr96vhQuHBV0lWTDnRBYS1seKarTv1QE9x/dR1BE5k6hJA8TJW4eXHVDUDbm60twSrH9/pbhOp8u74PK7hinoiFydl4+XKLG7JLtYYTdERLbFYUEiIiIiK4pZuh9z7psBi9n66Rq7v99m9WsQ1UcyLNg6PBhGj//9WtK+t2z1Hdd46hcnHDgObNcS4YPqX/V12Zje8Anw1V3bUme26sA1ESAbFmwVFoTQPmGiwbAsJguKxK2WpQp2iApD6/D6k4n0ah0WdNEh6sZKi0lByoHTijoiV2SuM6MwvVD3+foSuTpEhklaQkZ8uui8KyvKKETOiSzd540eRnQf2VNhR/Z141t3IKx/JyW1ds2J5kCKE9I0TZSOerFUQeDcakFJUmp2YiZqK2t0n3cU0V9uENcY88TVSpJAyfl4eHli2P2jRDXSDiVzCwQ1yopXlqC6rEpc57YP7obRyBEIahzJQHQp1xATkRPjT0oiIiIiK6kuq8LCp7632fXi1xxBSZZ8TQNRU9RW1aJU8BTl+RXE57Xv3UHUT+YxDgvqJU0n7TtpwEU/jPXy8ULvq6NE9ZmeStZkqq5FcYb+n6HBXdrCy8cLbbu1010jJykT5jqz7vPuLm6NbI26dI30xYz+2wRxjW1fb1LQCbmqkswiWASvHUERbf70Z5JkQQDIjOf7sYuRpgpGDOkK3+bNFHVjf14+Xpg6/0l4+apZE/jDX2cpWV1ItlNZVCEaDKnvNexCYQP0D6NqFg1nY9N0n3cE1WVV2P29bAWsb2AzDLt/pKKOyBlJVxGbTWZkM0WdGnBi23HsmLVFXCfq+gHoMcY1UpjJNgLbCYYFczgsSETOi8OCRERERFay8ZM1KMmyXRS9ZtGw94edNrseESBbGQX8+eaOZA0xwGQuvWoqqpG4RXbzuqH0rL7Xy9K14tccgdlUJ6pBdDEFqfmiVa9tOrcFIBt4NpvMyDudo/u8OysvKMPp3SdENaw1LNjrqii06RoiqnFw4R5UFJYr6ohcTUGq/kQuAAjqVN+woCxZMPMYkwUvJmnLMdF5V7z53b5XB9z+0b1KalUUluP7h76GxWL9ZH9SQ/z75CWSBQEgfED9yeeNlRaTIjpvb3vm7RCndA1/cDR8BSnx5PxCLmuP7qNkqbYcqKFLqa2qxQ+PzBLXMRgNuPW9KQo6IncS2K6l7rM15dWoLq9W2A2R7ZTmlCDl4Bmc2pWE7KRM0eei5Jw4LEhERERkBXW1ddhuhxSY3d9v45t6sqn8ZP1rOwEg+P8HbM5r0zUEnt6euusxWVCf4xvjUFdj0n3ey9cLvSb0ueT39JnYX7S6qrK4Eqd2yYaBiC5GsoIYOJcsCJwbeJDgwLM+CetjoVn0v//xbx2ALsO6K+zof4xGI0Y9Ol5Uw1Rtwu7vtynqiFyNNQZtQnt3EP3MzmCyYL00TUOidFhwXKSibhzL6McmKBvaPr4xDoeW7FNSi6xPOvAc3ECyYPjACFH9tJhk0Xl70jRNzQrix69S0A05uyuEq4hLBBspyPWtemMpck9mi+uMeHgMQnvLHkIm9xPYVn+yIACUcRianIimaTi0ZC8+veptPNfhcbw75GV8OPINvNbrX3i5+zNY8uyPyBd+xkDOg8OCRERERFYQs3S/XZ6azU7MRPK+Uza/Lrmv/GTZL49/XEPs4emBdj1D9fdzJhe1lTWintxR7ErZ+s6e4/vA28/nkt8T2LYFOg/rJrpO7EquIibryFM1LChcpc5hQX2kK4gjr+0Lo4f1PiIb/tBoePrIVmxun7mZSVlUL9UpzwDg7eeDNl3b1vPdjZOdmIm6WqYB/1HKgdMoTNM/GOXp7Ymuwy9T2JHjMBgMuP/bR9C8TaCSeitf+xlmwXpush1rvIZdKHxAhKh++pEU0Xl7Stwcj+zETFGNyGv7IeSy9oo6ImfWrpf+z2kAoDSbwzRUv7SYZGz8eLW4jrefD25843YFHZG7kawhBpicSs6jpqIacx+eiW/umobEzcf+9NBt/plcbPp0DV7p/gzm3D8DGXFpduqUbIXDgkRERERWsHX6ertde9ecaLtdm9xPgXhY8M83oiXDNpqmITspS9KS27FYLOJBm8auGJauIo5dxWFBsg5psmCb34YFhavUjzONq6ksZguOrYsV1YiaaJ0VxOcFBDXH5XcOFdXIPZmNxM2yRDJyTQUpwjXEEfWv8JSsIrbUmZWkw7gSTdPwywsLRTW6DL8M3s28FXXkeAJDWuD+2Y8oqZVzIguJm+OV1CLrsvawYKuwIPgHBeiunxGX7rTDz1uny1MFxz55tYJOyBW0EKzpBIBSJgtSPcx1Zsz76yxYzPKHoq56dhJatG+loCtyN4EhsmFBJqeSM6gqrcQn49/GnrnbG/xei9mCfT/uxJv9XsD0Gz7EqZ2JNuiQ7IHDgkRERESKpR46gzN7Ttrt+gcX7WWyGtlMfopswCao859v7kiHbbiKuGlSD5wRPwUbdX3jBm363ThIdJ3ck9nITpKlYxDVR7pi43yyYLse7UWrO5ks2HRn9p5ERWG57vMGowGR1/ZT2FH9Rj8mX+G37etNCjohV1OQpv/1y2AwoFXHoHq/Fhopez+WEZ8uOu9qjq07ihPRCaIaPcf2VtSN4+p7/UAlr5cAsP+nXUrqkHVJ1xDXt0r9QgaDQZQuaDaZkZXgfL9f5ifnilPZ23YLscl7JHIO4mEaJm9RPTZ+vBrph1PEdZq3DcTV/5okb4jcUqBwGJpriMnR1VRUY/r1HyJl/+kmn41bfRgfjnoTH4x8HbGrYrjxwsVwWJCIiIhIsa1fyp/elqguq0LMLwfs2gO5D8kaYm8/n3pXjUlvTmdxWLBJjgpvIoUNiECrDq0b9b3te3f40+rppuIqYrIGSbKgT4AvAoKbAzj3ulbfEHRjZSdmKklVcCdxq2XJqF2HXwb/1voThxqr89BuCOvfSVTj6PKDKDpboKgjchWSZMGWHVrB09uz3q9JkgUBIJPDgr+xmC345YUF4jo93GBYEABu//ButOspW3cJAIeXHURNRbWCjsiaJMmCfq380ayFX4PfFzags+5rAEBaTIrovD1Ez9gITdMa/sZLGP341TAaeQuRzvH284FvYDPd55ksSH+UcyILq95YqqTWDa/fDt/m+v9+kntrIVxDXMI16+TAaqtq8eVNH+PUziRRndO7TuDLGz/CW/1ewN4fdsBscs7kbfo9vtMnIiIiUqg8vxQHFuyxdxvY/V20vVsgN1GQrH/AJrhzm3oTuKTDgplOmPxgT3HC1b5NWS1sMBjEq4ilw41Ef6RpmmhYsE2Xtr97LZOsUjdVm8Tr+NyNdFjQ2iuIzzMYDBj1twmiGppFU7JSkFyHxWJBYZr+YcFLre/sIB0W5MMbv9n3405kxMmGJ739fBAxpJuijhybt58Pps5/Eh5eHqI6NeXVOLqC7xsdmaZponTnhlYQnxc+MEL3NQAgLSZZdN7WaitrsGtOtKiGj78PRjw0Wk1D5DIkq4il2wzItVgsFvzwyCyYqk3iWqF9wnDl1DHypshtSZNTOQxNjspUY8LM2z9F0pZjympmHjuL7x74Ci93/ye2fLGeG86cHIcFiYiIiBTaOTsadTXyDzqkkrYmIF8wxEXUGJXFFagsrtR9/mLpW8Fd2sLTx0t3Xa7xbLyC1DycjU0T1eh7Q9OG/5r6/X90elcSygvKRDWILlRRUIbqsird58+vID6vfS8OPNtKYVq+eAAnalJ/Rd00bMjdI0SJLACw+fN1yDuTo6gjcnYlWcUwm8y6z7e+xPrOtt3biYa1mCx4jqm6FstfXSKuEzWp/0VTIF1R+IAI3PTWneI6XEXs2CqLK1Bdqv89WKOHBQVriAEg/Uiq6Lyt7f9pNyqLKkQ1ht03slGpjeReAgXpW6VM3qIL7Jy1FSe3J4rrGIwG3P/tX+Hh5T7vkUi9gDaB9T7M3liluXx9I8djNtVh1uRpiF971Cr1C9Pysegfc/FixFPY9NlabklxUhwWJCIiIlLEXGfGtq82KamlYnXCnrnbFXRCdHGSFcQAEBzRtt4/9/D0QLse7XXXzT+Ty6faGil2lSyRq0X7lk1O6ug+qpdoWEazaFb7oIPcU54gVRAAgjv//rUsNFJ/siDAgeemiFtzRHS+VViQeNVqU/gG+GLYfSNFNepqTFjyzx8VdUTOTppEGtTp4oM2nt6eCOmhfxVs3mm+HwOALV+sR1G6fH34lX8Zp6Ab53LVs5Nw2RjZ6uVj646iLK9UUUekmmSNOgAEXWLg+UJtuoXAJ8BX93XSj6Q6zQ1QTdOwdfp6cZ0xT1ytoBtyNYGCZMGqkkrUVtUq7IacVVFGIZY+/5OSWuP/cR06u0nyMlmPh6cHAto0132ew9DkaCxmC+bcPwNHlx+y+rXK88uw5J8/4IORr6PorPz3XrItDgsSERERKRK3Kka0BgwAOg/thr+vfg4f581Eu576b84B54YFLRbn+ECbnJM0vTL4IsmCANBesIpY0zRkJ2bqPu9OYoUriKMmDYDR2LRfKz29PRF5TV/RdaV9E11IsoIYqCdZsLcsWTDrOIcFGytujXQFcX9RgoAeo4WriAHg6IpD4v/t5Bqkw4LBDaRydegjez/m7q9nFYXlWPfucnGdzkO7odeEPgo6ci5GDyMmf36/qIbFbMHBxXsVdUSqWfs17Dyj0Yiw/p10X6e2sga5J7N0n7elkzsSxcnxPcZFIlTw+zi5rsC2wlWdXEXs9jRNw0+PzxGlyp4X3LkNbnzzdgVdEclWEXMNMTkSi8WCuVNn4uAi2/4OlLz3FKZf/6FocwvZHocFiYiIiBTZMn2DuMbtH96NPtedWzE1/KHRoloFqflI2pog7onoYgqkyYKXGBYMFQ7bZB7jGs+GVJdV4YTwNULvSuG+18tWER9bdxR1tXWiGkTnSZMF2/xhWFA67M9kwcaprapF4uZjohrS1yI9QiM74rLRvcR1Fj89D6Yak4KOyJkVpMoeVLrUGmIACI2UJW9mxrv3+7F1761AZXGluM6t70+x+WCzo+gQFY6OfcNFNfbN36moG1JNnI7ayGFBQL6KOC0mRXTeVlSkCo57kqmCVD/JGmKAAzUEHFy8F7Er1Tz8ee/Mv8DHX39qLNGFJMmppTkl0DRNYTdE+miahp8em4O983bY5fpnY9Mw76+z7HJt0ofDgkREREQKZCacRdIW2Q3rsP6d0HVEj9/++7D7RsLoIXu7tvv7baLzRJciTRYM6lz/GmJAvsaTw4INO74pXjRw5+XrhV7j9aXc9JnYHwaj/pve1aVVOLkjUfd5ogupThb0DfBt9Fq8+mQfz2AycCOciE6ASbDKzMvXCz3GytZb6jVKQbpg7qkcbP50rYJuyJnJB20aGBYUJAsCQEZ8uui8MytMy8eWL+RDO1HXD8Blo+QDxs5syN0jROeT955C3ukcRd2QStLXsIYGni8UPrCz6FrOMCxYmF6AI8sOimoEdQpG3xsGKeqIXE0LwTANwGFBd1deUIZFT81VUmv4g6PRa0KUklpEANBCMAxtqjYpScskktA0DYufnocds7bYtY9Di/fi6Arrrz8mNTgsSERERKRAtIJUwTFPXP27xIgW7Voi8rp+opqHl+5HVYk8zYKoPvnStVFWWkMMcI1nY0if5u45oQ+8/Xx0nQ0Iav674Wg9VD2NTiQZfDYYDPUOBrbvrX/guaaiBkXpBbrPu4vYVbI1vD3GRep+DZMacMtg0Zqj81b/dxmKzvLvijsTJwuGX3rQpkMfYbKgGz+8seK1n1EnTP80GA249d0pijpyXoOnDBcnK+7/aZeibkgl6WtYUx7OCJMmCx5JEZ23hegvN8Bilj1wMvqxq8QPrZLrkiYLlmRzDbE7W/LsjyjLKxXXCWzXErd/fI+Cjoj+pznXrJMT0zQNv7ywUMnDair89MR3qCrlPUlnwHf9RERELqi2qhbbvt6E7x78Cp+M/y8+uPJ1LHxqLg4s3A2ziWsbVasqqcTeH2TR3n6t/DFkyvA//fnwB2WriE3VJhxYuEdUg+hiJGuI/VsHoFmg30W/3qZLCDx9vHTXd+eb041hsVgQt0Y2aCNd39n3+gGi87ErD3HNBykhSRZs2aEVvHy9//Tn7XsJB565iviSNE1DvPA1LGqi7DVIwtPbE+Ofvk5cp7ayBj//e76CjshZFQoGbVq0bwmvBt5rBXVuA69mf36Na6yMOPdMFjwbm6Zk9dPwB0YjVPgAjStoHRaE7sL17fvm7+L7RgckSRb0a+kHv5b+jf7+9r1CRb9fpsckO/TfocL0AmyZtk5Uw8vXCyOmjlHTELkkJguSXsfWH1W2FnPKFw/Cv1WAklpE50lf30r4+kZ2tOqNpdjw4Up7t/Gb4oxC/PrSYnu3QY3AYUEiIiIXomkatk5fj/9EPIWfHp+DvfN2IGlrAk7vPoGt09fj27un463+LyJhY5y9W3Upe+ZuR01FjajGlVPH1ptu0/f6gQgIbi6qzVXEZA2apomSBYMukSoIAEYPI9r1DNVdvyA5D7WVsn8vXVnK/tMoy5U90S0dFux3g+x8fnIeh0JJrK62DoWCFL8/riA+T5IsCHBYsCFZCRniNKKoSf0VdaPPuL9f02CqW2McXLQXSVuPKeiInI3FYhH9exAUcen3YgBgNBpFw2rFGYWoKCrXfd5ZLXtxgXioyMvXCze8cZuijpzf0Htkq4hzTmQh9VCyom5IFdHvk414DbuQh5cnOkTpT0utLK4Uv/ewpuWvLIapWpZmOuTuEQgIkn3+RK4tUDosyOQtt1RdXo0fH52tpFb/WwZj4G1DlNQiulBzYfJ/KZNTyU7Wvb8Cq978xd5t/Mm2GRtxes8Je7dBDeCwIBERkYvQNA2/PL8AC5+ae8lI/6zjGfj8mnex98edNuzOdVksFmz9UraC2GAwYPRjE+r9mqe3J4bec6WofvK+U1zJSsqV5pTAVFWr+/ylVhCfFxqpf9hG0zT+vb8E6Qrf8EGd0TK0lahGSI9QtO0WIqqx6ZM1ovNEhWn50Cz6BzqsNSzIQdhLi1stSxUMjeyIoE5NGzJQzdvPB3d8fK+SWgv/MY/p4W6oLKdEtOa2sYM2oX2ESalu9nqWtPUY4tceFdcZ/4/r0KpjkIKOXMPA24bA09tTVGMfPwNxKJXFFagurdJ9vqnDggAQLl1FHOOYA6dpMcnY94P87/fYJ69W0A25suZtmovWwnNY0D0tf2kRCtPkw9bNWvhhyhcPyhsiqkcL4Zp1vr6RrWmahvUfrsSyFxfau5V6aZqGHx/5FnW1/KzKkXFYkIiIyEWseHUJNny0qtHfP2/qTCRFJ1ixI/dwfGMcck9mi2r0vWEggjvXP2wAAMMfkq0iBoDd3zFdkNTKT9a/thMAgiMu/nf+vPa9ucbTWmJXyYYFpamCwLlB6ShhnT3ztiMzwb2GEEgtyQpiAGhzkZ/f7XsJkwU57HxJ0jXqUZPst4L4QgNuHYxeE/qI62TGpyN6xkYFHZEzkSZcBTUy2bJDpP4kLgDIiHefn9MWiwVLn18gruPfOgDXPH+Dgo5ch19Lf0RdL3vtPrhoD8x1ZkUdkZRkBTEAXUP/4QM7i66ZFpMiOm8Nmqbh53/PF6eZdruyB8L6R6hpilyWh5enaPsJ13S6F4v53AP2W6fLHrI/7/YP7xE/tEp0MeLkVL6+kQ0VnS3AtInv4xcFv3taU+axs9jwYePvWZPtcViQiIjIBcStPow1b//apDNmkxlLnv1R/IGiu1PxgceYJy799HbHvuEIHyT7UHvvDzuYOENKFSTLbu40KlmQyVxWUZCah4y4dFEN6QphVXU0i4blLy9W0gu5pzzhsODFkgWbtfBDyw6tddfNSsjge7SLqCgqx+ldslUmjjIsaDAYcNfnD8Do6SGuteK1n5lm4GbEgzY2ShbMjJe953AmMT/vR+rBM+I6E1+6GX4t/RV05FqkifulOSVI2sK17Y5C/hrWuIHnC4UN6CS6ZvqRFNF5a4hbfRhJW+UPAo998hoF3ZA7kKzq5JpO95F+JAXvj3gNC//+vZLfa3uM7Y0RU8fIGyO6iECuISYnoGkadn+/DW9EPY+E9bH2bqdRVv93GXJOZNm7DboIDgsSERE5ufyUPMy5f4aus+mHU3Bm70nFHbmPvNM5iF9zRFQjpEd79Bwf2eD3DX9Qli5YmlOC+HXydVhE5+ULhwWDLpGmeV77SOHNaSbO1Uu6grhlaCuECVd4ndftyh7wa+knqnHk14M4vUc2OETuS5oseLFhQUC2iri6rArFGYW6z7uyhPWxsJgtus/7tfJHlyu6K+xIpn2vDhj/1LXiOtWlVfjlRcd+qpzUKkgRJgs2ctAmtI8sWdBdHt6oq63Dry8tEtcJ6hSM0Y9fpaAj19NnYn/x+8Z987mK2FHki1/Dmp4s2CEqHEYP/bfEHC1Z0Gyqw9LnfhLXaRnaCgNuuVxBR+QOJKs6S7OL+UCUi6sur8bP/5qPdwa/jJT9p5XU9Grmjfu++atoBTZRQ/yDAkTvEUpzOSxI1lWSVYQZN3+MuQ/PRFVJpfL693w1FS/seRP9bxms9PW2rsaEHx/9FhaL/s/xyHo4LEhEROTETDUmzLzjM1QWVeiusX/+LoUduZdtX20Sf8g19omrYTQ2/JZsyJTh8PT2FF1r9/fbReeJLiReQ9yIZME2XULg5eul+xpZbnJzuqmkK4ijJg1Q9qGBh5cnIq/rL66z7MWFvOlAukhfy9p0Cbno18SriLlKvV5xwgc1Iq/pCw8FSX4qTXr1FvHaIwDY8/12Dk+7kYJU6QrPxg0LtgxtJRrQyohPd4uf0Tu+2Yy80zniOje+dSe8fPS//3VlXj5eGHj7UFGNw8sOoqaiWlFHJGGrdNQLeTfzRjvB+7PS7GKUZBXpPq/azm+3IjsxU1xn/NPXwcNL9nkTuQ/Je1ZTtQnVpVUKuyFHcmJTAl6P/Dc2frJa9HDXH934xu1o0/Xiv3cTqWA0GkXpglyzTtaiaRr2L9iN1/s8Jw4AuJg7P70Pox4dj85Du+Gxpc/g9WMfYMRDY+DhpeazsxPbjmP3nG1KapFaHBYkIiJyYkue+QFph5JFNU7tTFLUjXupqajGrjlbRTV8Anwx7P6Rjfpe/9YB6C980jt2ZQyfciNl8qU3dxpxg9roYUS7nqG6r5GfnMebgX9QXVaFE9HHRTX6KlpBfN7gyVeIa5zcnohjTE8lHSRriL39fNC8beBFvy5JFgSATA4L/onFbEH8WtmwYJ+JjrGC+ELNAv1w2wd3K6m18Km5Sm/OkeMqSJWlcrXu1LhBG4PBIEoXrCgod/kV2VWllVj91jJxnbD+nTDk7uEKOnJd0lXENeXVOLrCOjfZqGlsNfD8R+EDI0TXTTucIjqvSlVpJVa+vlRcp3V4MMY8cbWCjshdSFd1cqDG9ZRmFWNQYW8snjoXRekFSmuHD+qM8U9fp7Qm0cVI1qyXufjvO2Qfpbkl+ObOzzH7numiwJhLueXdyRj/j9+/zrbr2QH3z34Eb5/+DEPvlf3+dd7S5+bzPYAD4rAgERGRk9o3fye2fb1JXCcjLh2VxdZ5o+nK9v+0G5XFsrjvKx4YhWaBjU/pkK4ittSZmSRJyhQI0rhahraCl693o75XuopYRdKCK0nYEIe62jrd572aeaPn+D4KOwKiJg645CrXxlr2n0Vcn1UQNwAAIABJREFUaUBNommaKAUquEvbS6ZshgqHBbO4Sv1PkvefQkVBue7zBqMBfa7tq7AjdYbeMwLdruwhrpN2KBk7Z8seaCHnIEnlCgxpAe9mjXsvBgChwvdjmfHpovOObuNHq1GWVyquc+t7UxqVOu/Ouo3sgVZhQaIa+3/i78SOQLJK3a+lH/xa+us6Gz4gQvd1AcdZRbzuvRVKXndufvvOJv08IGohTMN29QcI3Im5zoxNn63F1+M/Rvuapqe9NsTo6YH7v33E4VLhyXWJ1qznlPAzSVIqZul+vNHnOcQs3W+1a1z/2m249vkbL/r1Vh2DcN+sv4o3pwBAZXElFj09T1yH1OKnD0RERE4o89hZ/PjobCW1NE3D6V1cV9YUmqZh6/T14jpjn7iqSd/fa0IUWnVsLbrm7u+3ucUaMLIuc50ZhWn6nxYOasQK4vOkv4xmchXx70hXEPea0Ef5zSSjhxE3vnG7uM7Zo6k4uHCPgo7IXVQWVYjWYLVpYMhVsuYOALKOM1nwj6QPPXQZ1h0BwRdPg7Qng8GAydMegMEoX/P+638WobygTEFX5Kg0TRMlC7ZuYiKXJFkQADLiXff9WElWETZ+skZcp9eEPuh9tWMOMzsSo9GIIVNk6YvH1h1VMmRFMpKBZz0riM8LEw4Lph9JEZ1XoTAtH5s/WyuuEz6oMwYL/30i9xMoGKYBgNJsDgu6gpSDZ/DesFew5J8/oLai1irXuOa5GxDWr5NVahPVR5IsaDaZrZb8Ru6lvKAM394zHTPv+Azl+db7XOea527A9a/e2uD3efl44d5v/qLkmocW7xXfmyC1OCxIRETkZKrLqvD17Z+itrJGWc2TOxKV1XIHJ3ckIiNOlo7Ra0IftOvZtCECo4cRw+5r3Nrii8mIS0eqcHU1UdHZQtGKw+DOjU+REyfZHOOwzXkWswVxqw+LavS9Xu0K4vMGTxmOjn3DxXWWv7pElJxI7kWyghho+LUsIKi5aE1XVkIGB/wvcGDRHkTP2Ciq0Wdif0XdWEdY/wiMenSCuE5FYTlWvLJEQUfkqMrySmGq0n9jtqmDNh2Ew4KunCy46o1flPxufut7UxR04x6G3jNCdN5ituDg4r2KuiE9KosrUFWif1ODaFiwv2zwxBGSBZe/shimapO4zh0f3cs0U2qyQGmyIFcQOjWLxYJfX1qE94a9YtXXw5Ae7THp5ZutVp+oPi1CmJxK9hW3+jDeiHoeBxbstup1xv39Gtzy7uRLbku5ULcRPTD6b/LPqgDgp8fnoLpM/4PbpBZ/EyAiInIimqZh3l9nIScpS2ndUzuTlNZzdUpSBZ+8Rte54Q/JVhEDwO7vtolrkHuTrCAGgOAm3NyRDgtyjef/nNqZJH4ise/1AxR183tGoxE3v3OXuE7+mVzsmLVFQUfkDvKlw4KNWJ/dXrCKuLKogh82/7+0mGTMfXimuE7UJOu8hql001t3wD8oQFxn+zebkXY4Rd4QOSRJIhcABHVq2qBNaCSTnuuTnZSpZO33kLuHI3xgZwUduYcOUeHoECUbYOUqYvuy9WvYhZoF+qFttxDd5wtS8lBRVK77vFTqoTPY+8NOcZ1+Nw3CZaN7KeiI3I10DXEJhwWdVm1VLWbdNQ1r310OzWLdh9run/VXePlyRTrZFpNTyZ62TFuH6Td8aPWh+lGPjMedn93f6EHB8255dzJahrYSX7/obCGWv7xYXIfU4LAgERGRE4n+cgMOWeEJ+JQDp1ErSKZwJ0VnC3Bk2UFRjaCINrpvVrft1g7dRvYUXf/Agl0wVfP/b9IvP1l4c6cJa4iDO7eFl6+X7mtxWPCc6rIq/Pjot6IanS7vghbt5R8KXEyf6/qLX98AYM1/l6G6vFpBR+TqpMOCDa0hBuSr1LMSmI5akl2MGTd/LEpRA4BWHVsrSTC1Nv/WAbjlncniOppFw8K/f890ShdVkKJ/BTEABDVxDXFAcKAoSSjz2FlYLPpTqR3VqjeWitK2AcDT2xM3vXWnoo7cx9B7rhSdP7PnJPJO5yjqhppKOizY1FXqfxQmHM5NP5wqOq+Xpmn4+d8/iesYPYxMMyXdAkMCRec5TOOcLBYL5tz3JWKW7rf6tUY/dhW6XSn/bIioqSSbIQAmp5J+Gz5ahUVPz7P6da54YBSmzHioyYOCANCshR8mf/Ggkj62Tt+A5H2nlNQiGQ4LEhEROYkze09iybM/WqW22WRGyv7TVqntarbP3Cy+ITT6sQkweuh/Gzb8wVGi61cWV+LI8kOiGuTe8qXJgk1YQ2z0MKKdYNgmPzkPNRXuPTimaRp+fPRb5JyQpdJaawXxeQaDAbe+Kx+QKc0pwebP1iroiFxd3hnZkEDjkgWZjiphqjHh69s+RdHZQnGtPtf11/WBqD2MeHgMOl3eRVzn9O4T2PejPH2IHE9BqvDBjYimD9p06KP/9aymvBqFaQW6zzui7KRMHFwkf5Bv9GNXNem9MZ0zeMpw8Ws60wXtJ1848Bys4zXsQuEDIkTn02KSRef1il0ZgxPRCeI6ox4dj3Y9QhV0RO7Ir3UAjJ4eus+X5nCYxhkte2EhDv9ywOrXCenRHre8K986QaSHeM06N0OQDkdXHsIvzy+w+nUGT74C93/7CIxG/fclB9wyGP1vGSzuRdM0/PDILJhNdeJaJMNhQSIiIidQnl+Kb+6aBrPJbLVrnNyRaLXarsJUYxKvt/Ty9cKIh8eIagy6Yxh8/H1ENXZ/Fy06T+4tX5gEEdyEZEFAtsYTALKOZ4rOO7vtX2/CgYV7xHX63mDdYUEA6Dr8MvS7cZC4zoaPVqE8v1RBR+TKpIPPQY1YqS5+/XLjZEFN0zD/sdk4s+ekknpRVlqjbg1GDyOmKHpie+lzP6GqtFJJLXIc4mTBRrx+/VFopGzta2Z8uui8o1n77nJxcqdvYDNMfOkmRR25l9ZhQeguXKG6b/4upq/aiXgNsY7XsAtJhwXTj6SIzuthNtVh6fPyVEHfwGa4/rXbFHRE7spoNIrSt0qYLOh0tn+zGRs+WmX16wSGtMDjvz6LZoF+Vr8WUX1aCNcQ8/WNmioz4Szm3DvD6r+TjPzrODw09zFRgMl5U754EL6BzcR1MuLSsf5D6/9soUvjsCAREZGDs1gsmH3fDBSlWzeJ4dRODgs25NCSfSjLlQ2fDJkyAgFBzUU1fAN8MeiOYaIaxzfGo9DKf6fIdRUI1hAbPT3QqmNQk86ESpO5jrlvMlfqoTNY/MwP4jqtOrZGWP9OCjpq2M1v3yVOiqkurcLad1co6ohclWQNccvQVvBu5t3g98mHnd13WHDzZ2ux5/vtSmr5+Pug57hIJbVspfPQbhj+4GhxndKcEmybsUlBR+RIxMmCOlZ4hgqSBQEgM9513o/lncnB/vnyVLprnrsBAcGydY7ubOjdI0Tnc05kIfWQfRLi3J08HVU2LBgmThZMEZ3XY8esrchJkiXFA8B1L96E5m34ukMygYKBGq7pdC4JG2Kx4InvrH6dbiN74qVD7zD1lOyquXANcVkuhwWp8SoKyzHjpo9RXVZltWv4Nm+G+2b9Ffd8PRUeXp5KarYMbYVb35uipNbqt5Yh56T8/S3px2FBIiIiB7fmv78iYX2s1a9zevdJmOusl1zo7DRNw9bp68V1xjx5tYJugOEPyW4ea5qGXXOilfRC7keSxtU6PKjJT7GFRgpvTrvpsGBlcQW+ufNz1NXKI/2jJg2w2frO0MiOGHb/SHGd6BkbUZgmS14i12X+P/buMj6Ke+sD+G93s3FXkhA0BIJrSrHg7u7aFoq3BQoU2mJFW7QUaIsVd3eX4u4QHAIh7rLZ3ecFD/dyKdBkzn93Z3fP98197ufpnDltL7O7M2d+R5NNWomZkxXEAODi4wonL2fJ57HWZMEbe69gw/CVwup90qUa7JzshdUzllaTO8LBjZ6scWDmLmSlZQroiMlF3GPpn2/O3i6S/jwElqQlCz6/YTnJgnsmb4NOqyPVcA/wQN2hjQR1ZJ3Ktw2DjS3toZeIoU+We5RrmIObIxzdnUjnd/FxhUdeT8nHR915gczUDFIPuZGemIbtP24g1/HM5406QxoK6IhZOzfCqs7kV0nQ6Wifocw4nl9/ioXtZpO/83yMo7sjui78DN8cHgP3AA+DnYexnHB0dyJ9t0zkYWiWQ9psLRZ1mI3o+1EGO0do3ZL44dpUVOtTS/g9/epf1EZwtaLkOtmZGqzs9yenvZsQDwsyxhhjMnZz/zXsGLfRKOfKTMnAsyuPjXIuc3Rxwxk8OnufVKNw1RDyups3gqsVhW+wH6nG4bl7kZFivBvczDJkpWch8YX0mx+5XUEM0IcFrTGZS6/XY1mfRYghpEC+rUyLikLq5FSzH9uQH/5mZ2qw/UfjfIYy8xP3NJb00COnw4IKhQL+hHTU5OgkJEdb10rtqLsv8HvHudDrxNwsdHR3RNMfWgupZWyufm5oPq4tuU5ydBKO/35IQEdMDvR6PWmFp9RELmpSqqUkC8Y9icGp5fTU02Y/toWto52AjqyXo7sTecX8uTV/80uTJmCKa9i78pUvKPlYvV6PZ1eeCOkjJ/ZM2YaUmGRynVY/dYDa/t+TsRn7N5Q1xDqtDqmxKQK7YYaQ+DIB85pON2jiVViXqhh362dU/7w2lEoeV2Cmp1AoSOmCSbyGmOXQhm9W4PbBGwapbedkh87ze2PI3lHwzJf7jQI5oVQq0XXhZ1CpVeRadw7fxMFZuwV0xaTgT1/GGGNMpuKexuLPLvOM+lbFveN3jHYuc5KRkoF1X68g16k1QEyqIPD6x+unxNV0qXEpOL7woKCOmLWII66M8i6QswGbt3kV8IHaXi35nNaYLHhw9h5c3nxOSC2PIC8Ur1dKSK2c8srvg/Av65HrnFp+DJE3re/fP/t3lBXEAOBdMOfXsoBQXkWcU2kJqfi1xQykJ6YJq9ntjy/g5m++KRXh/eshgJjoBgD7pu+AJlMjoCNmaqmxychMlZ4UKWUFMfB6hRFlSOflrecWMZS1Z+p2aDW0vw//0EB82rOGoI6sWxhxFXFSVCLuHDLMgzr2fmkJqUhLkP4571VAzENP+ipi46ywjn0cjQMCHqDmr1gIFTt+KqAjxgBXQrIgwKuI5S4rLRPzW8ww2KYG32A/DN03Cn3+GkAaPGXMENwoa9ajeFiQ/bsTfxzGobn0DWbvExIeirFXpiC8X12DbwjyDw1Eo1EthNTa+O1qPDh9T0gtljs8LMgYY4zJkFaTjd87zhHy5nBuRJy4bdTzmYudEzYj4XkcqYabvzvKtQ4T1NFrn3avDoWS9qV/3887ocnIEtQRswbUpDovCcmCSpUSeQjDNrGPoq0qRfPB6XvYOGKVsHptpnXO9epoERqNbgF7FwdSDb1Oj61j1gnqiFmSaOKwoE8OkwUBehqXtawi1ml1+KPzPETdeSGsZtMf2qC84O9fxqayUaHT3J7kOgmR8Ti1jJ6GxkwvlrC+E3g9kC9VQEnpSanZWdmIjngp+Xg5SIiMx8nFR8h1mo9vB5UNPYWBAaUalyWvaz+z8oSgblhOmPIa9jbq1ocLG84gNd7w6WhbxqxDtoBh/7YzunByFxOGOuCVyOlbsqXT6fBnt/l4dO6B8NoqtQpNxrbG91enIrSucV9IZSynKMPQya8SDbq2m5m/iBO3sWrAYuF11Q626DCrO746+B18CtG2keVGw1Et4E98QRoAdNlaLOowBymxxn0eznhYkDHGGJOlw/P24cEp479JEXH8jlGTDM3Bi1vPcWDmLnKd6l/UIa/UfJdHXi+EEtO+kl4m4OTio4I6YtaAOiyYmwGbt1FXEb+0kmSulNhkLOowBzpByT2VOlVBxfaVhdTKLRcfV9T7pgm5zuUt5/ntRPYP5GRBHhYUbtO3q3FjzxVh9cq3CUOTsa2E1TOlkPBQVBKQBrR36jaLSHazdrGPiIM2hFSuQGLK5XMzX0W8b/oO8tBOQMkglG1VUVBHTG1viwptPyHVuLT5PLLSpKd1styhrCAGRK4hLkA6/t6x2xhXcgSubLsgpJ93pcalYM3gZTi78iS5VtmWFRFSI1RAV4y9RkneAjhZUM42fbta2JaKt4WEh+L7K1PQfFxbXofOZM3VV/r1Ta/TGz38g5mPuCcxWNBmFjml/l2FPi2CsZcmo/bghkZ/MURtp0bXhX2E1Ip/GoslPX6DTscDt8bEw4KMMcaYzGSkZGD7uI0mOXdydBKi7opLczF3er0eqwctJQ/dqNQq1OhbR1BX/6tqr5rkGnunbYdWk01vhlmFmIfGW935toDitGFBaxi20el0WNLjN8Q/jRVSz6+oP7ou6GPwtQUfU/frxnDxcSXX2TxqDQ/Ds/9BvZblLlmQeP26Zd7DNTlxatkx7P9lp7B6ecvkR8+l/SwqQafNtM6wc7Ij1Yh5GI1zq/8W1BEzFVMO2lCHBSOvPyUdb0pJrxJxbNFBcp3Go1tY1LVJDsK60FYRZ6ZkGGzgi/0T9RrmLWgNsXugJ/l3RuKLBMxv+TP+7DpPWBKKVpONQ3P3YkyRr3B4Hn1FndJGhdZTOgnojLH/oq4hTuRhQVk6tvAg9v8s7jcZADh5OaPnkn74+tAY5ClGT59izNBcqcPQvIqYvUdmagbmt/wZydFJwmra2KnRZlpnDD/2A/xC/IXVza3gasWEPfu8vusy9k3fIaQWyxm+M8EYY4zJzO0D15CRlG6y80ccv2Oyc8vN+XWncefQDXKd8m0/gRvxRtqHlGlRAU5ezqQacU9icHoFr15iOUN+QC1hDTEA+Jeg3VSMvGH5wzb7pu3A9V2XhdRSO9ii77oh5DXAVPbO9mg8hp4MdvfoLdzYe1VAR8xSUNYQq+3VuXpA5ubvTlqRaOnDzvdP3cWKvn8Iq+fi44r+W76GnZO9sJpy4JHXC3W/pqet7p68ld/UNnP0FZ7SB20CqMOCZvx9bP/Pu6BJzyLV8AvxR4V2pklstmRFahSDR15PUo0zAtLbWM7Q01HFJAsqFAoElcsvpNbZVX/jxxLDcXHjWVKdG3uvYELZUVg7ZBnS4lOF9Fajbx2TPkBmlok8TMNriGXnxt4rWD1widCaVXqGY/ytGfi0Rw2TvoTKWG5Qh6E5OZW9S6/XY2mvBXh6+bGwmgUqFcJ3Fyah/rCmUKpMP+7VekonuPmLef65dcw63D12S0gt9u9M/78exhhjjP2PWweum/T8907cNun55SIjOR0bvlkhpFadwQ2F1HkftZ1aSP09U7ZBp+UHx+zfxRCGBW0d7SSnN1CTBSNvmu/D6Zy4e/QWtoxZK6xe5197IbBUPmH1KGr0rSPkoeDmUWt4QIb9B2UNsXch31w97FAoFKRV6okvEpAanyL5eDmLfx6HBa1nIjtLTMKxSq1Cv41D4ZVfzCCB3NQe3AB2zrQhyJe3I3Fpk/jVYsx4Yh/TXtzwJAwL+hX1Jz2MeG6myYIpsck4On8fuU6jUS1k8TDH0iiVSlTqREsXvLH3qtCkD/Zh1GuYqGFBAMhXrqCwWsmvkrCw3SwsbD8LSa9yNwjllO2ANT2XYE6jqXhxS9xLIvauDmj6fWth9Rh7g/pCdG7/jDDDen79KRa1nyP0vnDLSR3QY3FfOHvTN0UwZkyufpwsyMTaNXEzLm6gvVDytpKNymDEyXHkZyUiObg5ouPcnkJq6bQ6/NFpLn9XMBK+O8EYY4zJjKkfoEQc52FBANgxfhMSIuPJdco0r4CCnwQL6OjDag6sT07/enXvJS6sPy2oI2bJYh9Kf7jjXdBH8tvEXgV9oHawlXzuF2acZPNvkqIS8UfnudDrxKzZrdIzHFV6hgupJYKNrQ2aj29HrvPsymPsmbxNQEfM3KXGp5DSWrxzsYL4Df9QWjrqy1uRpOPlSKfTYUn3+UJvpnf+tTeCqxUTVk9unL1cEN6vLrnOrklbeDW7GaOkPDt5OsPBVXrSqdpOTUqoenXvJTQZtHQ+Uzg4azcyUzNJNbwL+iCscxVBHbF3fUJcRazL1uL8Ov49bAyUa5iDmyMc3Z2E9RJUroCwWm9c3HAWP5YYjtMrTiDuSQxS41I++FJEanwK9o3fjvDoiog4LP5eXOPRLcmrlhl7Hztne9g62kk+npO35CPxZQLmNZ2OjGRxW46q9qqJhiObC6vHmDG5EZNTec06e9ulzeew7YcNwur5FfXHZ6sGQWWjElZTlPKtw1C2ZUUhtRJfJGBx11853MQIeFiQMcYYkxG9Xi9kNZNKLf3LYszDaMQ/jyP3YM4ibzzDwdl7yHXU9mq0n9lNQEcf5+ThjJoD6pHr7PqJ19Kxj0tPSkNqnPR0K6kriIHXiSH+oQGSj499HIOMlAzJx8uVTqvDn13nIfGFmJtRASWD0GleTyG1RArrXAV5S9OTDreOXYdjCw8K6IiZM8rQMwD4FJQwLFicNixoiauITy07hjuHbwqrV3tQA1T7rJawenJV9+vGUNurSTWeXXksbG09My69Xk9aQ0xJFXwjoKT0BAO9To+Xt81r+DktIRWH5u4l12k4sgVUahsBHbH3yVs6HwJL0dZkn1vzt6Bu2MdQhgUpa9TfJ39FccmCb0uNTcGS7vMxqsBgfO39BQbYd8eXtt3wlednGJlvIL4P/QaTKn2HsUW+xtk/T0BpgMd0nvm8UXtwA+F1GQNeJ6dTVhHzGmJ5yErLxK/NZyDuCW09/NuK1i6BLgt689phZrZcqMmCfH1j/+/Z1SdY0n2+sHqO7o4YsHUYHNykv/xnaB3n9oS9Ky3U5I1bB65j16QtQmqxD+NhQcYYY0xGkqISkRpLWzPXYEQzhNQsTqoRceIO6XhzptfrsXrQUuiyteRaDUe2gLeEgQIp6n7VmJS6BgCR15/i6vaLgjpiliiGOGDjXYD254GyxhMAXgpc6SQXOyduxu2DN4TUsnO2R9/1Q0gJAYaiVCrRclIHIbVW9V/MyTFWLpqwghiQmCxIHBa0tFXqqXEp2PTtamH1QuuWRNufuwqrJ2duedxRtQ99KHLnpM2cLmiG0hJSkZEkPflFxPrOgBK0gazn183renZ47l7SP3MA8Ajywqc9agjqiH1IWGdauuDDM/eRmWp5LxfJSVpCKtIS0iQfL3IFMQD4FPIj/8bMKV22FmkJaYh/FoeoOy/w5MJD0ot4/6bVTx2gtqfdI2LsYyiriDl5y/R0Oh3+7DYfj88/EFbTO9gX/TYM5ZcjmFnjNeuMSq/X4+a+q5jfYgY5nf4NhVKBz9cMJqX8G4NHoCe6/NZHWL0d4zbi1sHrwuqxf+JhQcYYY0xGIokriAtXDUGLie1RpFpRUh1rXkV8bs0p3D1CT7nxLuSLBiOaCugoZ1x8XFHjizrkOrt/4rV07MNiHxIHbAjJggDgX5z2IEdEcquc3D16CzvHbxJWr+vCz5CnqPT0RkMr2bgsgomfb8DrmzaLu/2Km/uuCuiKmaMYkwwL0q5fLyxs2HnL6LVIiUkWUss32A+frxksyzUshtJgeFNSkjgAPDwdITTZkRlH7CNa8ouIVC5KsiBA/81rTBnJ6UIS5xuMaAYbW35wbmhhnWhrnnXZWjy78kRQN+x9KMmogPhkQQD4pEs14TVNrUClQqjY8VNTt8EsHCV9KzX2w+u5mXEcmr0HlzefE1YvU5mFDkt6CV0Vz5gp8Jp1JpVWk43Tfx3HxHKjMLvhFPL33re1ndEVxeuXFlbPkMI6VUF4v7pCaun1evzZZR4SIuOF1GP/xMOCjDHGmIxQB1nCOlWFykaF4OrFSHWsNVkwPSkNG4atEFKr4+weRn+Lu96wJuSHUI/OPcCt/dcEdcQsDTlZkDwsSEzmsqBhQU2mBn99vkjYcG+NvnXID1gNTaFQoNXkjkJqaTVa/NZ6Jh6cviekHjMv1GFBn0J+uT7GI68n7JztJZ/TktYQPzwbgeO/HxJSy97FAf23DoOTp7OQeubCM583KnerTq6za9JmAd0wY4p7TPsuJmLQJrAkLVnQnL6PHZm/n5z85ebvjmp9aoppiH2UZz5vhISHkmpE348S1A17H8oKYkB8siAA1PmqEfl3pty0md4FSiU/+mOG5UZc1ZnM6VsmE/MoGlvGrBNWz8bOBuc8rsMjn6ewmoyZikKhgKufq+TjeQ2x9UlPSsP+n3fiu8JDsaTHb3h2VezLR1V6hqPOkIZCaxpau1+6IqhcASG1kl8l4Y/Oc6EVsAmO/RP/YmCMMcZkJJK4kulNykPBT4JJaSPPrz1FWkIqqRdztGPcJiS+oL/9VaZFBZRqUk5AR7njEeiJKj3DyXV2/bRFQDfMElGHBb2Ia7mpK6JeWNAaz0Nz9uBVhJiHmUHlCqD9zG5CahlacNWiKN2svJBaWWmZmNtkmlkNLTAxok2QkqpQKEgPouOfxiI9SfraPrnQaXVY1X+xkEFnhUKBz1YNhH+oZT3gz6mGI5tDoVSQatw5fBP3/74rqCNmDDHUZEEBgzY+hf1gY6eWfPzza+aRLJiZmoEDv+wi16k/rCmvAjUi6ipiHhY0LDkOC6rt1Ph89SC4Egef5KJ8mzCE1KANzTKWE67EVZ2JPFBjMuuGLocmPUtYveYzOyDBVkxqPGNyQLm+JUXxtc1axD+Pw8YRqzAy3yBsGL4S8c/ihJ+j0KdF0Pm33lAoaPd+jE1tb4u+64bA3tVBSL17x25j+w8bhNRi/4uHBRljjDEZeX6D9uDkzSCNrYMt8lcsJLmOXq/H/ZPW9eDw+fWnODSHvmJKba9G+5ndBXQkTYNvm0Gpon3Fu3fsNu5Z8Spq9mExj0y7htirgA9pFYSlJHMlvkzArolihnrtXR3Qd90Qs3qI3XJSB2E3SdLiUzG7wWTEEB9cMvNCSRZ0zeMu+TpETa15eTuSdLwcHF1wAE8uPhJSq9XkjiZ5OUMufIPzoJKAFYP8koh5kcOgjVKlJF3P4p7EmMUy3AZcAAAgAElEQVTw8/FFh5AcnUSq4eLjihp96wjqiOVEsdolSMe/4mFBgyKvITbAsCAABJbKh29PjUfe0vkMUt9YPPJ6osuCPqZug1kJ1zy0AVte1WkaV7ZfwJVtF4TVa/VTRxRvYh6rMRnLKcqwYEpMMrQaXrNuyZ5ff4qlvRbgu0JDsG/GDmQkpRvkPB55PdFv41dQE17UMyWfwn7osbivsHq7J2/F9d2XhdVjr/GwIGOMMSYTer0eL25IH2RxzeMOZy+X//z34Gq0VcTWNCym1+uxeuAS6LQ6cq1Go1vC20A3sHPCu6AvwjrTV4nyg2P2PrGEZEEnT2c4uDqSzq9UKpEnNEDy8bGPY5CRkkHqQQ62frcOGclibkT0WNwXPoVzv1LVlAJLBuGTbtWE1UuIjMfs+j/x279WQputJT2o9ikkPSGVmoBn7gPPSVGJ2Cpo3dUnXauh/vCmQmqZs0ajWpJrXN91GU8uPaI3w4wi7glx0EbAGmIACCxJS3uWe6qvJiML+2bsINep+3Vj0osuLPc883tDaSN9ywInCxoWfVhQzDXsfbwL+GDU2YloMrY16X9DpuIe6In+W775n/uCjBmSGzFZkH9/G19WWibWDlkurF7V3jXR4NtmwuoxJheuvtLXEANAcjQnbVqiiBO3MafxVIwv/S1OLTsGrcZwa3HVDrbov+Ub8metqZVvHYY6QxoJq7e423zEPY0VVo/xsCBjjDEmG/FPY0nDH+8+sClSvSipn4gTd0jHm5Ozq07i3jH6cKRvsB/qD2sioCOahiNbkFO3bu69ikfn7gvqiFkCvV5PWkPsRUwVfCOAmMxl7quIH51/gL+XHhVSq86QRijfOkxILWNrMb4d7F3ErDIAgFcRUZjTaArSE+WfdMRo4p/FQZct/YaeN2FYMKC4ZQ/X/JuNI1YK+TNWIKwwui36zOzWsBhCQIm8KNuqErnObn5JxGxQkgUd3Bzh6O4kpI+AEkGk4yOvy/t6dnLxUSS+oCUeOXk6o2b/eoI6YjmlslGRhmKjI3hY0JAo1zB7Vwdh17APsbG1QfNxbTH67AQElStg0HOJVKpJOXx3YRLylS9o6laYFaEnC/KwoLHtnryVnFL9RrE6JdDFDFdjMpYT1DXrnJxqWZ5efoS5Tadheo3xuLHnilHO2WNxX4v5Xtd6aicUCCsspFZqXAoWdZiN7CxO7xSFhwUZY4wxmXh+nbaC2P+dB9CFq4aQfrA/OncfWelZpJ7MQXpiGjYMXyWkVoc5PWWxytM/NBDl2gh4cDx5q4BumKVIjk5CVlqm5OOpK4jfePdal1vmPGyj1+uxbuhy6PV6cq2CnwSj9dROAroyDc983ug4p4fQmk8vP8a85jOs4rPPmlFWEAOvE3yloq4hfnHLfJMF7x69hdN/nSDXsXdxQL8NQ2XxfUsuGo9uQa5xadM5RJr5ML21oDzgFbm+M4CaLEj87WtI2VnZ2DN1G7lOnSENhb7YwHLOp7D0z+qUmGSzWJNtrijXMO8CPkYbSgkqWwCjTo9HiwntYWNrY5RzSpGnWAAG7RyBgduHw9WXNrjFWG5R044SeZjGqKLuvcC+6fTUZOD1fee+64dCpZbv9ZExClc/2mcqX98sw6uIl/ijyzxMLD8a13cZb/1to9EtUanDp0Y7n6HZ2Nrgi7WD4egh5qWfh6cj8HvHOdBk8P17EXhYkDHGGJMJarpCYMn/TXdw8nAmPcTRarR4dNbyk+W2/7hRyNte5VpXQsmGZQR0JEbj0fS1dJe3nMfza08EdMMsAWUFMQB4F5D+0O5tASVoD6cp695N7dzqv3H/77vkOk6ezvhi7WBZP/jKicrdq6P24IZCa0Ycv41FHWZDq+E3FC0VdViQsobYM7831A7Sh9zMdQ2xVpONVQMWC6nVfHxbeOT1ElLLUuSvUAgliN9B9Xo99kyhD0cxw0pPTENagvQhJlEriIF//vbMrecyfnnj9PLjiCeuNrJ3dUCtQQ0EdcRyy6dwHtLx0fdp3xXY+6UnpiEtPlXy8SIHnnNCpbZB4+9a4rsLP6FApUJGPfe/cXR3RIdZ3fH9lSko2aisqdthVsqFOEyTFMXDNMai1+uxZtBSIUlMLj6uGLhjuMGTXhkzJTdqciqvWTdrCZHxWNnvT/xQfDjOrf7bqOcu06ICmo9va9RzGoNXfh/0WvalsHqXt5zH7IZTkJYg/bcFe42HBRljjDGZoKZ5vG8wMLhaMVLNe8fpq3nl7NnVJzg8by+5jtrBFu1/6SagI3GCyhZAqSblyHV284Nj9v9iHlLTuAStIaYOC96S78Ppj8lMzcDGb1cLqdVr2ZfwzCduYMBUFAoF2v3SFZW7VRNa99qOS1jWZxF0Op3Qukweoh/Q1gtS1hArlUr4hwZIPj72UTQyUzMkH28qB2btFjLomLdMftQcUF9AR5an8Xf0l0TOrf4b0fd5/aacxT6OIR0vcljQI8iLlJon12RBbbYWu6fQ09VrD2rAD9FNiJIsCADRES8FdcLeJqdrWG4ElMiLESfHofXUTrCxU5ukhzeUKiVq9q+HCfdmovbghpzqxUxKbaeGo7uj5ON5DbHxXNx4Fjf3XSPXUdur0X/rN6S0fcbMAX0NMV/fzFF6Qho2frsaY4p8hWOLDkKXrTXq+QNK5EXv5f2hVFrm+FbppuXRYEQzYfXuHbuNn2tOQOKLeGE1rZFl/q+NMcYYM0PUBybvW21XpHpRUs2IE5Y7LKjX67F64BLotPRhkCZjWsly8KaRgLV059eeQtS9FwK6YeYuhpgs6CXoZqJnfm/YOtpJPj7STJMF907djoTnceQ6tQc3FDJILBdKpRLd//gCpZuVF1r3zIoTWP/1CiErn5m8kAefCcOCAH2V+svbkaTjjS3uaSx2jNskpFbnX3tBZaMSUsvSBFctipDwUFINnVYnZPUqMxzK+k5AbCqXQqEgpdgnv0pC7GPa348hnF11kpxAa+dsjzpDGwnqiEnhG8zJgnIkp2tYbqlsVGgwvBnGXp6MwlVCTNJD8fqlMPbyFHSa1wvOXi4m6YGxd1EGakRseWH/LiMlA+u++ktIrS4L+qBQ5SJCajEmZ9Q1xHx9My9ZaVkITsmHedWnYt/07dCkG3+9rZOnM/pv/Yb0Qp45aDGxPYKr0wJu3vbs6hNMq/YjP78k4GFBxhhjTAZ0Wh0pccUznzccXP/5Nif1i9f9v+9Ba+Q3aIzlxB+HEXHiDrmOX4g/6n7dWEBH4hX+NARFa5cg1dDr9Ng7Zbugjpg5k0uyoFKpRB5CMlfckxhkJKcL6cVYYh5FY9+MHeQ6Lr6uaD7O8lYZqNQ2+HzNYKE3GwDg0Jw9ODRnj9CazPQoQyA2dmq4+dPeMPcP/efLHblhbquI13/9F7LSMsl1qvaqabKH8+ZCRLrgqWXHEEdcv8oMhzpo4yk4lYua9vxr8xlIiU0W1A2dTqvD7sn0VMHwL+vxII+J+RT2Ix3/ipMFDcKchwXfyFM0AMOOfo/2M7tB7WBrlHP6FsmDAduGYfDukeTrLmOiUYYFEzl5yyh2jt8k5MXT0LolUblbdQEdMSZ/5GHBV3x9MwfZWdk4/Os+/FpjKoolF0Rmkmk2eajUKnyxbgh8CtF+w5gDlY0Kn60aCBcfV2E1Yx5GY3q1cXh84YGwmtaEhwUZY4wxGYh5+AqaDI3k4z+U6uAR6Eka0MlMycCzK48lHy9XUXdfCHursuOcHlCbeBXNxzQR8eD4r+OIe0JbGcTMH/nhjsAH1ORVxGY2bLPp21Wkz4g3Wk7qAAc36WuC5MzWwRYDtw1DUNn8QutuHLEKz64+EVqTmRYlJdW7oA95Hcj7kqBzw5yuX9d3X8bFjWfJdZw8ndF6akcBHVm2YnVKokBYYVINrUaL/QKG05lhUFd4egsetAksGUQ6/vm1p5hVfzJS41MEdURzbOFBRN2hJRKoHWxR7xt5vkhmTagpwNHEdEn2fjEy+j1JoVQpUWdII/xwdSo51fdjHNwc0e7nrvjh2jSUbloeCoXCYOdiTCq3PNIHajJTMpCZaprBDGsReeMZDszaTa6jUqvQcW5Pvg4xq2HraAd7V+kJb7yGWN60mmycXHIEP4R+gzWDliI12nS/R21sbdBv41coRgz8MCcegZ7o/Vd/oZ8pydFJ+LnWRNw6cE1YTWvBw4KMMcaYDFBXEAd8ZKUdNWnp3nF6+p6cZGdl448u84Sk3JRvG4bi9UsL6MpwQmoWR6FPaSsidNla7J3G6YLWjjJg4x7gAbW9uOSFj13zciLy5jNBnRje3aO3cGH9GXKdfOULoErPcAEdyZeDmyMG7x4J32Bxb2JqNVrsnrxFWD1mWulJaUiJkZ5iRR0+AAQMC94yj2FBTUYW1gxeJqRWq8kd4ewt7q1jS6VQKISkCx7//RCSovjhhhxR1/aKTuUKIA4LAsDTS48wp9FUpCelCehIusSXCdjy3VpynRpf1IGrLy2JhNHZOtjCPdBT8vHR96MEdsPeoA48yyFZ8G0+hf3w1cHv0Hf9UASVKyCsrlKlRI2+dTDh7i+o+1Vj2NjaCKvNmGiufrTUdf7OaTh6vR6rBy6BTsDGoHrfNEGeotI3fDBmjijpgnxtkydNpgbHFh7E2KLfYHmfRaRnHSIUqVEMo89PQumm5U3ahykUr18ajce0ElozMyUDc5tMw/l1p4XWtXT8S4MxxhiTgefXaYMrH0oWBIAi1Yrh9PLjkmtHnLiNukMbST5ebrb/uAFPLjwk17F1tEO7n7sJ6MiwFAoFGo9uiXnNppPqnPjzCBqPaQU3wooRZr50Wh0pXdJL0AriN8jJgjfMY9hGp9Vh7dDlQmp1mN0DSpXlvyvm6ueGIftGY3q1H5EQGS+k5sUNZ5EyN4mHlSwA9Uagd0H6sKB3QV/Y2KmRnSktLfSFmQw775m6XciwRcFPglG1T016Q1aidNPyyFs6HykRVZOhwYGZu9B6SieBnTERKCnPds72cPRwEtjNx3+D5sajs/cxt8k0DN49EvbO9kJq5taG4SuRnkgbWLSxU6P+8KaCOmJUPoV9Ja9dTHgWB01GltCXnRjtGmbv4iD8GiaCUqlE+TZhKNe6EhJfJODZlcdIiIx/nZiWkonM1P//z5QMZKb9/3+mZCAzNfM/f01GSjpiU+JQtGwxlG8Rhiq9wuFBGHZlzJhcCcmCwOv0LWtYu2gKZ1aexN2jt8h1PPN5C3khiTFz45rHHa/uvZR0bNLLBMHdMIqs9Cyc+OMw9k3fjvhn9LXsVCUblUH9YU0RUrO4VSe2Nv2+NSJO3sGdQzeE1dRqtPij01wkv0pErYENhNW1ZDwsyBhjjMkA9cHvx1ZABVcvSqodcfwO9Hq9RXxxvXv0FvZOFZOQ12RsK3gGeQmpZWglG5dFUNn8eHpZ+krp7EwN9v+8E22ndxHYGTMXCc/joNVIfxtZxIDN2/yJw4Lmkix44s/DQlbBV+pUBcFVaZ8F5sS7gA8G7xmJGeHjkRafSq6n0+pwceM51OhbR0B3zJRiiGsFfQQkC6psVMhT1F/yMFf0g1fISs+CrYN8BxheRbzEninbyHUUSgU6/9qLvPrZmigUCjQa3RK/d5xDqnNk/n40Gt0CDq6WubreXFFSubwK+Aj/Pefq6wYXX1ckv0oi17p/8i5+bT4Dg3YMh62jnYDucu72oRs4u/IkuU7V3jXhHuBBb4gJ4Vs4D+4duy3pWL1ej5iH0fAPpaUBs/9FGRb0KuAt63tSCoUC7gEekq4BT58+ReXKlTF50xwEBdETWxkzJuoLxYk8UGMQaQmp2Dh8pZBaHWZ3h52TaV7mYMyUXP2kvzCclpDGL57IQGZqBo4tOIh9M3aYPO1RpVYhrEtV1Pu6yUef5VoTpUqJz1YOxIRyo4QO2Or1eqwZvAxJUYloPr6drH9DyAHfcWWMMcZkgJIsqFAokOcjN7H9Qvzh4iv9x01ydBKi7r6QfLxcpManYHH3+dDr9eRafkX9UferxgK6Mo43D46pji04YPIfVsw0yGlcgldGeebzIj1IfnDqHlJipa8iNYa0hFRsHbOOXEftYGuV6VCBJYMwaOcIYQMH59edElKHmRZ1WFDEGmKAtopYr9PL+nvZm5tyUpMT3xb+ZT3kK19QQFfWpXybMPgV9SfVyEzJwKVN5wR1xETISE5HamyK5OO9CngL7Oa/SjYuK6zW3SM3Mb/VL9BkZAmr+W80mRqs6r+YXEelVqHht80EdMRE8S5M+8x+FSEtSYa9X3piGuklHrmtIGaMvSYiWZCJt+37DULu35ZqUg5lmlcQ0BFj5oe6Zl3EC1VMmvSkNOyevBWjCw7BhuErTfo8y97VAfWHN8OkB7PRc3E/HhR8h6ufGz5bNRAKpfiBvl2TtmBlvz+h0+qE17YkPCzIGGOMmVh2VjZe3o6UfLxPYd+PpssoFAoEV6OnC5ozvV6PlV8uRvzTWCH1Os3tCRtb8wpoLte6EjkZITM1EzvGbRTUETMnMQ9pAzai1xArlUrSsE16Yhq2fb9BYEfi7Ri/CSkx9IHGht82N5sUVNEKVS6CLzd9BZVaRa5198gtJL4Qs9aYmU60DJIFAZA/j1/clO8q9Uubz+HGnivkOq5+bmgxoZ2AjqyPUqVEo5EtyHWu7rgooBsmCiVVEAC88hlmWLBiu8pC693afw0L281Gdla20Lofsm/6DiED2J92rwFPA/0zZtL4BuchHR99n/adgf0v8jUsPw8LMiZHrn7UYUFOFhTtyaVHODJ/H7mO2l6NDrO7cyITs1qcnGp+UuNTsH3cRowuOARbvlsr5L66VB55PdF2RhdMeTIXbaZ2gkegp8l6kbuiNYuj07xeBql9/PdDWNh+tlFfSDQ3PCzIGGOMmdirey+hy5a+3jMgB2+jBFcrJrk+ANw7IW19j1ycXn4cF9adFlKrQvvKCK1bSkgtY1IqlWg4sjm5zvHfD+HlbfkOKTDDICcLCl5DDAABxFXExxYekLwG1NBe3n6Ow/PoN3c983mj/rAmAjoyX8Xrl0bvvwaQb3Dr9XpcWH9GUFfMVOiDz6KSBWnXrxcyXaWekZKBdUOXC6nVdkYXOLo7CalljcI6VyGnMN09cgs6Hb+BLRdx1EEbA6VyFW9QGkVrlxBa89rOS/i901xoNYYdGIx+EIXdP20h11GqlGg4iv47i4nlQ0wWjL4fJagTBgCxj2m/Jw2VjsoYo3HlYRpZ0el0WDVgMfQ6+ladhiNbwKeQn4CuGDNP9GFoTk41Fk1GFrZ9vx6jCwzBjnEbSWnWVHlL50Ov5f0x6f4s1Pu6CRxcHU3WizkJ71cXHWb3MEjty5vPYW6TachMzTBIfXPHw4KMMcaYiUXeoD3wzcnATJHq1GRB8x0WjL4fhdWDlgqpZedsj3YzugipZQqVOlWBNzHhTafVYdPINYI6YuYi9hFxdafgZEGAtsYTeL3Kc+2QZUJWk4u2/psVpCHyN9pM6yxsDa85q9i+MjrP702uc24tryI2d5Q1xC6+rrB3thfSB/X69eKWPIf2d07YjPhnceQ6ITWLI6xzVQEdWS+V2gYNRtBWoqbGpSDyujwHU61RzCPqoI1hhgWVSiV6LfsSTl7OQute3nwOi7vPh1bA96H30ev1WDNoKTQZ9JXpVXqG88N0GfIpTPt3wsOCYsU+kufAM2OMxsXHlbQ60JSrIS3R30uO4uHpCHIdn8J+aDCiqYCOGDNf5DXrfH0ziufXnmDyJ2Oxc+JmZCSnm6yPkPBQDNkzEmMuTUblrtWgUpvXVjI5qD2oAT5bNVDIhqB33Tl8E782n8EDg+/Bw4KMMcaYiUVef0o6PifDgnnL5Icd4QF3zMNoxD+nP/w1Nq0mG392/RWZKWK+BHaY3R0eec13nafKRoUG39JTL65su4C7R28J6IiZC0qyoNJGZZA/N/nKFyTXuHv0Fi5ukFda3LVdl3B9N32FZ3D1YqjQ7hMBHVmGGn3roNEo2lrOB6fukVNRmOnotDrEEoZtvAWtIAYA32A/KG2k3/yS4xri6PtRODhrF7mO0kaFTvN68rorAar0rAE3f1ray53DNwR1w6go1y8A8MpvuFQuj0BPDNo5AvYuDkLrnl97Gsv7LIROKz7h8tKmc0K+bzl6OKHlTx0EdMREc3R3Ig2x8rCgWNSXCbx5WJAxWVKqlHDxcZV8PA/TiJMSm4xNI1cLqdVxbk+o7W2F1GLMXFGTU3nNuuFFP4jCtOrj8Pwa7fkqRb4KBTFk7yh8fWgMitcvzfeyiCp1rIKBO0bAzkl8+AEPDL4fDwsyxhhjJvacmiyYgzXEKhsVClcpQjqPOaYL7py4BQ/P0N+oBIDybcNQpWe4kFqm9GmPGnAP9CTX2TB8Ja+msyKUYUHPfF5QqsT/7ChcJYQ0BP3G+mErkZWWKaAjuuysbKz/egW5jkKhQIdZ3fkGxTvqDG1E/t/ieUEr7ZnxJUTGIztL+kpLkevUVWob+IXkkXz8q3svSX8vhrBp5GpoNfQEsHpfN0YAcU0ze01tb4vagxuSavDLIfIR90TeqVwFw4IxePe3wm/qn/7rBJb2WoAMQS9/AUBGcjrWClqZ3mpyR9KQBDMsSrpgzMNogyVbWqOESNqwoGc+831pkzFLRxmo4TWd4mwZvRapsSnkOuXbhKFkwzICOmLMvFHXECfy9c2gsrOy8XvHuchIMk2aoF9Rf3yxbghGn52I4vVK8T14gYrXK4WvD4+Fs7eL8No8MPhPPCzIGGOMmdgLwrCg0kYFvxD/HP21wdWKST4PANw7fod0vLFFnLyDXZM2C6nlHuiJrgs+s4gv/Wo7NeoPa0Ku8/j8A5xfwys5rYEmU4PEyHjJxxtiBTEA2DrYovrntcl14p/GYu+07QI6ojs8by+i7r4g16napybylStAb8jCuPi4olidEqQa53kVsdmirCAGxA4LArRVxDqtDq/uvRTYDc2947dxceNZch2PIC80GdtKQEfsjZKNypKOv3v0Fr8cIhOUZEFbRzuD3Gh/V+EqIRi4YwTUDmKTaM6sOIEJZb4VNry6/ceNSBCQml+wcjCqfVZLQEfMUHyDpQ8L6rK1iH8aK7Ab65bwXPrvSRs7NZy8DH8NY4xJQ1nVmfQyAXq9XmA31unhmQic+OMwuY6dkx3a/dJNQEeMmT8XX9oLQcmveFjQkI7M34/H5x8Y/bweeT3R7ffP8cO1aajQ9hOLeF4oRwUqFsKIEz8aZEMCDwz+Lx4WZIwxxkwoKz0LryKkP+z1C8kDG1ubHP21RarThgUjTphPsmB6YhoWd5sPvY5+w0mhUKD38i/h5Cl9hZHcVP+8NvntOADY8t1aaDKyBHTE5CzucQzp5q13AbEDNm9rNKo5HN0dyXX2TtuOGOJ6P6qkV4nYMX4TuY69qwNaTGwvoCPLVLHDp6Tjn1x8hKh79IFOZnzRD2jrBH0EriEGAP9QWnrei5u0ZGpRdDod1n9DT0QFgA6zusPOiZ4Yy/4roGRe0hrOtPhUPL/6RGBHTKrYR9KTBb3yexvtIUZIeCgGbP0GNnZqoXVjHkbj51oTsHbIMtJN/WdXn+DQnD3kfhRKBbrM7w2lkm+ty5lPIenDggCvIhYp4Zn0wUv3QA9+EMuYjLkRkgWzs7KRlpAqsBvro9frsXbociFDl03GtoZnECe5Mga8Dlxw9HCSfHwiryE2mIyUDOyZvNWo53TyckbbGV0w4e4vqNanFlQ2KqOe3xr5hfhjxMlxCCz175v1cosHBv+L72gwxhhjJvTydiRpoC0nK4jfKBBWGCq19C+xkdefITWevs7AGFYPWkpK33hbvWFNUbQWLYlKbmwd7dDsx7bkOrGPY3Bo7l4BHTE5i3lIS+PyMlCyIAA4e7ui2bh25DqaDA02Dl8poCNp9Ho9VvT9Q8jqhKbft4arL30Y2FKVa1WJ9FkIAOfX8ipic0ROFhQ9LEhIFgSAJ5ceiWmE6Oyqv4W8zV2yURmUbVlRQEfsbUqlEiHhoaQad47wKmJTy0rLRHJ0kuTjvQqIfxv/Y0LrlkK/jUPJn7fvc2juXkwsN0rSi2w6nQ4rv/wTOi09LbP24IYIKluAXIcZFmUNMQC8iuBhQRH0ej3iCcmC7oGeArthjIlGfRmZVxHTnF97Cg/PRJDr+IcGos7QRgI6YsxyUIahk6P42mYoh+fuJf0+zg07Z3s0/b41Jt2fhXpfN4HaXmyKPvs49wAPDDv6PYKJQTjvwwODr/GwIGOMMWZCkYQVxAAQWCLnqTS2DrYoUKmw5HPp9XrcP3lX8vHGcnbVSZxZcUJIrXzlC6DFBPogkhxV7VMT/qG0QQUA2P3TVqTEJgvoiMlVzEPa4K3o1Z3vCv+yLgJycS38kIsbz+L2oRsCOsq9YwsP4srWC+Q6fiH+qDWwgYCOLJejuxN5LSevIjZP1MFn0cmCAcRhwcPz9pk8ETUrLRNbRq8h17GxU6PjnJ6cGmQgIeHFScffPXJTUCdMqtjH0lMFAcArv+Fe3PiQUo3L4Yt1Q6A0QOLCq4gozAifgPXfrIAmQ5Pj407+eQQPTt0jn9890BPNx9FfvGKG50NYQwxwsqAoaQmp0KRL30jgkZeHBRmTM/qwIKdvSZWVnoVNI+m/xwCg06+9cry9iDFrQVmznsiD0AaRlpCKfdO3G/w8NrY2qDOkESbdn4VmP7aFgyt9sxGTxtHdCUP2jESZFhWE1+aBQR4WZIwxxkwq8vpT0vH+uRyQCa5WlHS+e8fvkI43tJhH0VjZf7GQWmoHW/RZMcBib5SobFRoPbUTuU56Yhp2TtgsoCMmV/RhQcM+oFbZqNB+VnchtdYOXQ5ttlZIrZyKvPkM67/+S0itdr90tdhrlkgV21cmHR954xmeEz+/mfFFE5IFVWqV8FQb3xB/KFXSb8lkpmRgWe+F0OnoCVlS7f9lF+KfxZHrNBrVgpz+xD6saAMQWQ4AACAASURBVC3asOC9Y7eEJLEx6ah/zjzzGzdZ8I2yLSris5UDoFCKHwTW6/U4MHMXfm80C+5ZLv/61ydHJ2HTyNVCzt1+ZjfYuzgIqcUMi/rZwsOCYiQQr2HuAR6COmGMGYIrIXkL4IEaikOz9yDuCe2lEgAI61wFRWvSfjMwZokow9CZKRlWPYBkKAdm7kZaQprB6qvUKtT4og4m3P0F7Wd2g4uPq8HOxXLO1sEWfdcPRbU+tYTXtvaBQR4WZIwxxkyInCyYizXEAFCEGNd8/6R8hwW12Vos7varkDWeAND+l27IU4yevCdnpZqUIz9ABoAj8/fjVcRLAR0xOYp7Iu9kQQAIrVMS5VpXIteJvP4UxxYcENBRzmgysvBnl19zlYrzISUblUGpxuUEdGX5SjevALUDbW0EpwuaH8oaYq8CPqTBvvdR26nJiUd3j9zEkV/3C+oodxJfxGPv1G3kOj6F/dBgRFMBHbEP8S8eCGfvfx+m+pC0hDQ8u/JYYEcstxKeE4cF85lmWBAAKrSrjF7LvjRYcmjcgxhUjS2Hg5N3QZPx4eSyjd+uQlp8Kvl8JRqWQfk2YeQ6zDhc/dxg52Qn+XgeFhSDsoIY4DXEjMmdGyF5CwCSeFWnJEmvErF78lZyHXtXB7Sd3kVAR4xZHlc/2jA0X9/ESolJwsFZuw1SWwstKvWsgkn3Z6HLgj4m/Q3N3k9lo0LXRZ+h0eiWwmtb88AgDwsyxhhjJkRJFrSxU+f6TfnCVUNID2oenbuPLML6GEPaM2WbsDXJZVpUQPUvagupJWcKhQJtpnUm19Fla7FZwBpCJk8JhIc7agdbuPga5w28tjO6Qm2vJtfZ9v16pMQkCejo320etVbIAIbSRoV2P3cV0JF1sHe2R+mmtMHK82tPQa/XC+qIGVpGSgaSX0n/c+0teAXxG/7F6SvUN41cjah7LwR0kztbx65HZmomuU6baZ2htqcN77KPUyqVCKkZSqpxh1cRmxQ5WTDItIM2n3Sphm6/f26w+goocGrBUUwoOwp/dp2H5X0WYdWAJVj/zQps+W4tNo5YhVNLj5HPo7ZXo9NcXpluThQKBSldMPr+K/6+JwA1WZDXEDMmb9RkQV5DLM32HzYgI5n+wnyL8e3g5s8Jroy9D2UNMQAkcXKqUHun7xRy3XubraMdKn9eHYd8z6DBuBbwyOsltD4TS6FQoOXE9ugwu4fw3+XWOjDIw4KMMcaYiWQkpyP2sfRVAf6hAblOuXF0d0JgqdylEb5Nq9Hi0dn7ko83lOfXn2LH+E1CarnmcUf33z+3modA+SsUwiddq5HrXNxwFvf/FjOsyeSF8oDaM5+X0f4seRfwQf1h9HSqtIQ0bB27XkBHH3d992UcnC3mbcjagxpYfBKqaBU7fEo6/lVEFJ5cfCioG2ZosQ+lpwoCgI+BElILf1qEXEOTnoWlPRcYdU3s0yuP8feSo+Q6RWoUQ9mWFQV0xP5NSDgtSZqHBU2LvMJTBg88qvauic7zexv0HFF3X+Dsqr9xcskRHP1tPw7M3IXdk7di34wdQurzynTz5E34d5aVlomUV8kCu7FO8cR0VPdAHmJhTM7IwzScvJVrkTee4fjvh8h1gsrmR3j/egI6YswyUdYQA0AiD0MLk/gyAYfn7RVWz97FAQ1HNsdPD2ej7pimyFTRt/4w46k9qAH6rBwgfAuMNQ4M8rAgY4wxZiIvbj4nHR+QyxXEbwRXK0o6773jt0nHi6bX67Huq+XQZWuF1Ou1tB+cvY2ThCYXLSa0g40dPZFtw/CVnLxgYXQ6HRIjpScLGntlVMORzeERRH8gfnzRITy9/Ije0AckRSViaa8FQmq5+LiiydhWQmpZk5KNysLO2Z5U49waXkVsLqIJK4gBwyULUhMu33hw6h72/7JTSK1/o9frsWHYCiGf9+1+7mo1L2eYWtFatGHBe8duG3Uglf0v8qBNgDwGbcL71UWHWd1N3YYkfiH+qD+imanbYBL4Egc845/ECurEelFXqXvwGmLGZM3R3Qk2tjaSj+dhmtzbMHwl9Dr677FO83pBZaMS0BFjlomanJrMw9DC7Jm8FRoBG88c3BzR9PvW+OnhbLT6qSNcfKzrOaAlqdSxCj5bNZAHBol4WJAxxhgzkeeEFcQAEFBC2uq64OrFSOe9vvsydDr5PCy8uv0ibh+8IaRWnaGNULx+aSG1zIlXfh/UGdKQXOfBqXu4uPGsgI6YXKTEJCM7K1vy8cZeGWXraCdktbZer8eaIcsNMvyq1+uxrPcC0krUt7WY2B6O7k5CalkTWwdbcqLZhfVnZPV5yD4sRqbDgnmKBaJC+8pCam0bux6RN54JqfUx13ddFvK9q3L36shfoZCAjlhO+IcGwsVX+k3wjKR0PLn0SFxDLFcoKc8uvq6kB/ii1R7cEK2ndjJ1G7nWeX5vqAW8XMWMj5oGGf+IhwWpKMOCCoUCbv60B/WMMcNSKBSkgRpe05k7N/ZewY09V8h1wjpXQeEqIQI6Ysxy0ZMF+fomQtzTWBxbeJBcp0rPcEx+NAfNfmwLJ09nAZ0xU6vQrrLBBgYXd//NKoJReFiQMcYYMxHqA12pw4JFiMOCD07dw+r+S2TxRUmTqcGGYSuE1MpbOh9a/dRBSC1z1GhUCzh50X8kbR61hjRcxuQl4bn0VEHANEk2FdtXRpEatOscAEQcv43za8Unxx2euxfXd9Nv7AJAwcrBqNq7ppBa1qgScRVx3JMYPDwdIagbZkjUZEEfAw0LAkDbaZ1h7+JArpOdlY0lPX+DVmO4z2CtJhsbhq8k11E72KLlxPYCOmI5pVAoEFKTli54l1cRm0z8M+nDSsZ+cSMnGgxvhubj2pq6jRwL61wFxWqXMHUbTCKfYOKw4GMeFqSi/KZ08XODSi2fgWfG2PtRVhEncbJgjmmztdgwTMDvMXs1Wv3UUUBHjFk2N+qadb6+CbFr4mby8yZHDye0n9kNDm6OgrpicmGogcHLm8/h6G8HhNaUIx4WZIwxxkyEPCwocQ2xe4AHOSHn2KKD2Dh8lckHBo/M24dXEVHkOmp7NfqsHAi1va2ArszT6wj2NuQ60fejcPS3/QI6YnJAeTgNAB556SuBc0uhUKDD7B5QKOmrLTeOWCU0cv7Z1SfYOGKVkFp2zvbo89cA4T+ErUlovVJw9KClMvIqYvMQ85CYLFjQcMOCnvm80e6XrkJqPbnwEHumbBNS632OLTqEl7cjyXXqD2tqks8Ha1c0PJR0/B0eFjQJTUYWUmNTJB8v1z9rTca2Rudfe8n+e4yDmyPazhBzjWamQU4WfExboctoq9TlOPDMGPsnSvpWcnQSdFpO7M+Jk4uPCEmTr/tVY3jm8xbQEWOWzdnHFQqF9PvLvGadLvp+FE4uOUqu02B4Mx4UtGCGGhjcMHwlEl/QwjTkTt53ZBhjjDELFklYQ2znbA/PfNIf/FDTBQFg/y87sWP8JnIdqZJeJWLHBDHnbzOts+SkRktSo28d+BKTFwBg54TNSEtIFdARMzVysmCg8ZMFASCoTH7U+KIOuU78szjsmrhFQEdAVnoW/ug8V1jyZqd5PckPP62dja0NyrWqRKpxYcMZfrBhBihriJ28nA1+Q7Fq75oo2biskFo7JmzG08uPhNR6W1pCKrb/uIFcxzWPO+oPbyqgI5ZbRWvRkgUjjt+BNlsrqBuWU/TvYvIdtAn/sh5GnPwReYoFmLqVD2oxsT3cCKsVmel5BnlBpVZJPj7+cYzAbqxPVjpt4NlUvycZY7lDGRbU6/RIiUkW2I1lSk9Kw7bv15PruPi6ouHI5gI6YszyqWxUcPZxkXx8QqRlDxkZw44Jm6Aj3odw8XVFrUH1BXXE5MoQA4Oa9Czs+mmrsHpyxMOCjDHGmAmkxqUg8YX0N4sCSuSFUin9Yzy4WlHJx75tx7iN2P/zTiG1cmv79xuQkZROrlOycVnUHMA/FoDXgzOtpnQi10mNS8FuC/8SbS3in9GSNEyZBNF8QjtyahwA7Jm6DTPrTcLDM7R1sxuGrcSLm8/J/QBApU5VULlbdSG1rF2ljrRVxEkvE3Dv2C1B3TBD0Ov1iHsiPSXVkCuI31AoFOi26HMh1yxdthZLey6AJlMjoLP/2jVpC+lh/xstJ7aHvbO9gI5YbvkVDYArYegpIzkdTy4+FNgRywlz/i6WEwXDgjHm4k+oP6wpKbXDEPJXLITwfnVN3QYjUqqUpIRgThakSSQ+JHcPkPc1jDH2GnWwntO3/t2eKduQ/CqJXKf5+Hawd3EQ0BFj1sE9QPqLC9QXv6zdi1vPcWbFCXKdhiNbwM6J70NZA0MMDB5fdBAxj6KF1ZMbHhZkjDHGTIC8grg4LQVPRLLgGxuGr8SxhQeF1cuJZ1ef4Pgfh8h1XHxd0ePPvrJ7MGVK5VpVQuGqIeQ6h+bssegv0dYiIZL2cMyUaTbOXi5oPr6dkFq3D97AlE+/x/xWP+O5hFTYK9suCFvP7ZXfG13m9+brliAhNYvDxdeVVINXEctbWnwqstIyJR/vZcAVxG9zD/BAxzk9hNR6dvUJdgpMf46+H4XDc/eS6+Qtkx+f9qghoCMmhUKhQNGatFXEd4/wcLSxxT+TPuwMyH9YEADU9rZoM60zhh//Ab5F8pi6HQCv/7x0nt9b9muSWc74FJb+WZ6ekAa1zkZgN9aFsoIYMI9rGGMMpBdSgNcv4bEPi30cjQMzd5PrBJQMQtXeNcl1GLMmlHvbyVGJnM5PsH3cRuh1elIN90BPhPejbx9i5kP0wKBWo8WOcRuF1JIjvuPBGGOMmQBlBTEABJSkDQv6FskDrwI+pBpvW9V/MU4LeMsnJ/R6PdZ9tZz8QwEAuv/xBWlVhiVSKBRoO70LuU52Vja2jlkroCNmSgmENBuljYo8hEVVo28dBJYKElbvytYLmFBmJBZ3n4/o+1E5OiYhMh7L+iwUcn6FUoHeKwYYfCWqNVHZqFCh7SekGhc3noVWI2a9NBMv7ilt0MYzyEtQJ/8urHNVlGtNW439xp6p2/DwLC0R9Y1No1YLWaHedkYXHrwxsZBw2iriO0duCuqE5RQ1WVDOa4jfVbhKCMZemow6QxuZ/KWI8P71UKBiIZP2wMTxKUwbQnXM5iQSqSi/JwFeQ8yYuXDNQ7u3mvQyUVAnlmnLd2uRLSA5vt2MLlDZqAR0xJj1cPOXPgyt1+t5GFqip1ce48K60+Q6jb9rCbW9rYCOmDkRPTB4+q/jFjv4y3dpGWOMMRN4fp2YLFiSNvyiUCiEJrvo9Xos67UAlzafE1bzQ65sPY87h+kPKks3K4/STcsL6MjyFKpcBBXaVybXObvqbzw6/0BAR8xUKA+o3QM8SOvSRVDZqNBhVnehNfV6Pc6sOIHvQ4dh13ebYa/93xsOmkwNXkW8xO1DN3ByyREs6jBbyOpOAGgytjWCq4pZI8/+q2IH2iri1LgU3DpwXVA3TLR4MxoWfJNk5eztQq6l1+mxtOcCZKVnkepEnLiNixvOkvsp3aw8QuuUJNdhNEVr0YYFI07c4eFoI7P0NcTvsnW0Q/tfuuGbI2PhU9jPJD245nFHy4ntTXJuZhiUZEEAcNTyukapqMmC5jTwzJg14zXEhvPwTATOrvqbXKdEwzIoXr+0gI4Ysy6UNcTA65fIWe5t/2EDuYZXAR9OU7ViIgcG9To9MlMyBHQlP5yhzxhjjJnAi5vEYcEStGRBAAjvVxdH5+9HcnQSuRYA6LQ6/NFpLvpv/QYlGpQRUvNdmkwNNgxfRa6jUqvQdgY9Pc+StfqpAy5vPgethvbGzJbRazB032hBXTFjS3gu/YaGXB5OF61VAuXbhgkZdnmbLluLiytOoxbCsO6zZdAkZyHucQySXiZCr6cnn76rcNUQNP6upfC67PU/W/dATyQQHmaeX3caJRuVFdgVE4U8aGPEYUEAcPV1Q5ff+mBhu1nkWi9vR+L7Yt/Ap7AfPPN5wSOvFzyDvOAR5AnPfN7/GYS00akQdTMScZdeIfZRNGIfxyD28ev/jLrzgtyH0kaFNtM6k+swOt8ieeDm747EF9IeyGamZODxhYcoVLmI4M7Yh1AfLplrKleR6sUw9vJkbB61Fofn0deg50a7n7tyirOFoQ6eOmXzsKBUlN+TgHx+UzLGPo6TBQ1Dr9dj/TcryHUUSjFbZBizRtQXF6jfhazRw7MRuLLtArlOsx/awMaWR6GsWYV2rwNR/ug8DzqtjlRLk0FP+JUj/hPCGGOMGZler8dzwhpiRw8nUvz5G65+bui5tB/mNplGrvVGdlY2fms9E4N3f4uQGqHC6r5xaM6eHK/+/JjagxrCr4i/gI4sl08hP9QcUB8HZ+0m1bl14DqeXX2CvKXzCeqMGUt6UhoyktMlHy+nh9Ntp3fBtR2XDPKjTgUV7u437FpGe1cH9P5rAK+LMRClUomK7SvjwMxdkmtc2nwOXX7rzastZIiaLGjsYUEAKN8mDJU6VcG51fQEifinsR/9Z6Cys0HDzGr4vdFs8rk+JLxfXeQpGmCw+iznFAoFitYqTkonuXvkFg8LGlHCM+nXMEcPJ9g5me/6VDsne3Sc0wPlWlfCst4LEfso2uDnLNm4LCp1pCUOM/nxDaYNCzpqzffPkalRXsYBOFmQMXPh6kccFoziZMH3ubjxLO7/fZdcp/rntYUEDzBmjThZ0Pi2fb+eXMOvqD/CulQV0A0zdyIHBi0RryFmjDHGjCwpKpG0kjKgZBAUCoWQXko2KovOv/YSUusNTXoWfm02A8v7LMLmUWtwYOYunF11ErcOXMOzq0+QFJUIbXbu0+qSohKxa+IWcn/O3i5oPIbTuXKiyZhWcHSnp2oc/W2/gG6YsVHffJTTgx2v/D5oMKKZqduQrOuCPvAu4GPqNiwadTAgIykdN/ZcEdQNEymeMGgDGHcN8ds6ze0JV+I6r5zQZhp2payjuyOa/tDaoOdguRMSTltFfOfIDUGdsJygpKNaSiJX0ZrF8f2VKajRt45BzxNUNj8+WzVQ2G9tJh9eBX1J/16deA2xZJQ1xPauDrB35kFNxsyBnZM97Ah/XhM5WfAfNJkabPqWvl3H3sUBzca1FdARY9aJ+jI89cUJa3P32C3c3HeNXKfZj235pXv2HxXaVUb7md1M3YYscbIgY4wxZmSRN4griIsHCurktfAv6yEjJQObvl0trGZGcjpOLjnywf+/QqGAg4cjaiRVwLZh61ChaRiKNygNV98Pv4m6dcw6UsrZGy0mtIejuxO5jjVw8nRG4+9aYcPwlaQ6Z1acQOupneDgyuu8zAl5dafMHlA3GNEMfy89hrgnMaZuJVcqd6+OSh2rmLoNi5e/YiF4F/JFzINXkmucW3sKZVtWEtgVEyHuqfRrmUqtgrOPi8Bucs7J0xndf/8c85pNN8n5RWk8phWcvUzzz5C9X9FatGHBiBN3odVkQ6XmW4qGptVkk9byye27GIW9iwO6/NYH5duEYd1Xf5F/U78rX4WCGLB1GP9esVBqOzU8grwk/w7gNcTSUV5As6RrGGPWwC2PG15FZEg6NjmKhwXfdXjuXsQ8pKcqNxrV4qP32xljH+dGTBZMfMHJqTml1+uxdSw9VTCwVBAqtPtEQEfMktToWweH5uzBqwj65jpLwsmCjDHGmJFFElYQA6+TBUVrMLwZmow1XuqLXq9HWlwqXLOdcXX9BSzp8RtG5RuEpb0X4Pm1J//4659efoSTi4+QzxtYKghV+9Qk17EmNQfWhxcx0SwzNROn/zohqCNmLJa2MsrW0Q5tp3c2dRu54l3IF53m9jR1G1ZBoVCgYvvKpBpXt19CZqq0hyPMcChriD3yekKpNN1tk1JNyqFKz3CTnZ/Kp7Afag6ob+o22Dt8CvuRPqOz0jLx6NwDgR2xD0l8kQC9Xi/5ePcAeX0XEyG0bimMvTIF/TZ+haq9aiKgbBAylJmwd3OA2sE21+lx/sUD8dnqQRh1ZgJ5xRiTN5/CvpKPtdfZQZOeJbAb66DT6pBIWL0nt9+TjLGPo6SiJ77kYZq3pcQkYdck+nYdr/zeqDO0oYCOGLNezt4uUKmlJ9TxGuKcu3XgOiKO3ybXaT6+nUnv5TF5Uqlt0GxcO1O3ITv8GjBjjDFmZJHXaSkIgQYYFgSAZj+2QUZyOg7O2m2Q+v8mOysbp5Yew6mlxxBarxTqfd0YxeuXBgCs++ov0oOyN9rP7M7x47mktlOj1U8d8EfneaQ6xxYcQM3+9XitlxmxtGRBACjf9hMUq1MCtw/Kf4Wi0kaFz1YNhL0LJ5kYS6WOVbBnyjbJx2elZeLqjkuo1IG20piJo9fraSs8TbSC+G3tZ3bDrYPXSUOPptJ6Sieo7dSmboO9Q6FQoGit4jizQvqLHHeO3EThKiECu2LvQ/0u5i7D72IiKJVKlGtVCeVaVcLTp09RuXJlnD59GkFBQdDr9dBla6HJ0ECToUF2puY///fb/93Vzw0+hf1g62Br6r8dZiQ+hfxw5/BNycfHP4kDQgoL7MjyJb9KhE6rk3w8de0fY8y4XPNIT69Li0+FJlPDvx3+3/Zxm5CemEau02pyR6jt+bsOYxRKpRJu/h6SE6p5DXHOvE4VXEeuk79iIZRpXkFAR8wSVexQGXunbsOzq/8MrLFWPFbLGGOMGVnkTeIa4hJi1xC/oVAo0O7nrqj2WS2D1M+NW/uvYU6jqRhf+lusG7ocd4/eItcs27IiitUuIaA761Oxw6coEEZ7MBJ54xnuCXgzjBmPpSULAq+vc72X94ebv/Q33o2l2Y9tUDAs2NRtWJXAUkHwD6V9xp5fe0pQN0yElJhkZGdqJB8vh2FBBzdH9PjzC1O3kWvB1YqiXGteyy1XIeGhpOPvHpE+cMNyjvpdTI4vbhiaQqGASm0DexcHuPi4wiOvF3yD8yCwZBAKVCyE4KpFEVqnJAJLBvGgoJXxCfYjHR//2PyG9k0tnrCCGAA8ZPh7kjH2Ya5+tPssvIr4tZd3InFswQFynYKfBKMiv8jImBCUFxgoKcvW5OqOi3h09j65TosJ7Tisgn2QUqlEi4ntTd2GrPCwIGOMMWZEer2elCzo6ucGZ29XgR39L4VCgS6/9UFY5yoGO0duRN54hkNz95LrqNQqtJlmXutH5UShUKDlpA7kOkd/2y+gG2Ys8dRhQZmucnPz90D/rcNk/QA9JDwUDb9tbuo2rM7/sXfn8VHW1/7APzOZ7NtkXyBkJZCELSCCioCIAuKGilSr1qvXVqu2ta1d0FatbW1tq17b+xO1rbbWVkVtxargVsQrIPuSsCRAQvaFZCb7MtvvDy69hplsz/nO/nm/XvfV3ic53xzo8ORZzvccnU4nfphe9u4+JR0ASA1pNz5feUldtHQ6Ft251NtpjMvq39zEB7Q+bMpFxaL4Y59VwDpoVZQNDScQuzwTeUtKPosFPc1cJ/s788XNZ0Q0vHjBGGKAo4jP+OA374i6sp7B+zEidSTPuHvNvRjsHVCYTeBxOBx4+6HXxesULJjy70llRMOZvrIUeedN9nYaPoPFgkRERB5kqm1Df1ef5vjMaRMVZuOaPkSPW1+4EzOvCpx23Rd/cwVSC9K9nYZfm7qkRNxxa88bO/nwz4+YBZ0gYlPjYAgzKMxGrZxz8vCjfb/A3Bt8ozD6i6ISovEff/469CG8VfOGc9bMF8VbB63Y99YuRdmQVLu0WNAHOguecc3jNyI5L9XbaYzJvJsWIGcuRzX6suTcVNHn29I3iOodxxRmRK7IiwV95xxG5G2p0s6C1SwWHC9pZ0GOISbyL5IxxADQ2cTOgoO9A9jx163ideZcPx/55xcqyIiIgNMbzyXM7C44ohPbK1G776R4nasevZ5F0jQqVY1RAgXfQBEREXlQQ7lwBHGx+4sFASAk1IA7XvkGii6Z7pGf506xKXG47IGrvZ2G39PpdFgo7Gpkt9rw2R82q0mI3M4seEHtD51sohNj8J8v34O1O3+KkuUzvZ3Ov9383B1I9KECpWCTPiUTWbOyRWtwFLHvkBba+NK/xYiYCNz6wp0+/+AzNCKUD938gE6nE3cXPLr5sKJsaDjSLs/+cD1G5CnizoI1LBYcL/kodd+5DiOi0cWlyYoFubkYKN90QNyBzBBmwDWPfUlRRkQEyDcwSDbkB4MdL38mXqNo6TQULipSkA0FgymLiwPi3bcKLBYkIiLyoPqyWlF85rQsRZmMLjQ8FHe9eR8KFkzx2M90h6t+ej0i46O8nUZAOO+WCxEWFS5aY8tzH8FmtSnKiNzFMmBBV2un5nh/GhmVPScP33j3+/jO5h8h/wLv7rxecPtFmH3tuV7NgSAeRXzogzJ0n9L+74fUEY8h9qFiQQCYfOFULPnmcm+nMaJLvrPSp4osaXjSB+lHNx9SlAkNR7JxIzw6HBFxkQqzIfJvEbGRiE2J0xzfzs6C4yYtFmRnQSL/EiccQ9zVzM6Ce/++U7zGkm8sR3Kuf3SkJ/IXkjHEADsLjubov+TPFq78yWoFmVAwufqn13s7BZ/AYkEiIiIPEncW9MAY4i8Kj47APW/fj0lzcj36c1WZODMbF9y22NtpBIzI+CjM+/IFojVMtW04+M5eRRmRu3QIH2Ik+FGx4BmFC4tw/5aHcO873xN3ltMia1Y2rn/qZo//XHImLRa0W23Y86b8IT/JmeqExYI+2JXr6p+tQfrUTG+n4VJG8QQs+/6V3k6DxmjKRSWi+BNbK2AZsCjKhlyRFNoYJyb6fCdSIk9LEYwi7qg3w2axKswm8EnGEBvCDIhJjlWYDRG5W7xwDHFHkI8htg5aceDtPaI1YpJjsWLtVYoyIqIzpJvipc/ZA1lnSwcaD9eL1ph+eSny5k9WlBEFi5y5+Zi1aq630/A6FgsSERF5UIO0s2CJZ4sFgdMFYt/c+AOv/Gyp65+8GfoQXu6otOgu2ShiAPhkx7BZLwAAIABJREFU3YcKMiF3kneB8L0Cm7HQ6XSYtmIW1u76Ge545RtIK8zwyM9Nn5qJb276IcKjIzzy82hkyTkpyJ1XIFpjz+ufK8qGJNprtZ/LQiNCffIldVhkGO7e8F3EpmrvjuQOEXGRuPON+xARw/OYv0jOSUFSdrLmeEu/BVWfH1OYEX2R3W4XFdr4YrEzkbdJRhE7bHa0cxTxuEjuKeMzE6DX81kOkT+JTZUVC3Y2B/cY4qP/KkdfR69ojSsevg5RxmhFGRHRGcZMWedUk/A5eyCr3HJEvMaVj7CrIGlz1aOrg36TJe+4iIiIPMRus6PxcIPm+ISsJETGeWecbkxSLL71/g+RKtiJ72ml18zFlMXF3k4j4GTNykHeebKdWoc2HUDLsSZFGZE7mARj7wD/f0Gt1+txzvXz8VDZ47jl91912yhSfYgeF39rBX6w7SeisWiknrS7YOWWIxjo6VeUDWllFnQWTPDhrlypBen45sYfiIoeVMqcloXvfPwg0qf4ZsdDGl7hRbJr5YrNhxVlQmfraumE3WrTHJ8wkePAic4m/b3Je9ixczgcolHqHEFM5H8MYQZEJ8Voju8M8s6Ce4XTCVInp+PCOy5SlA0RfZG4s2AjOwsOR1osOPu6czGpNEdNMhR0MosnYt7NC7ydhlexWJCIiMhDTlW1wNI3qDl+godHEJ8tPiMB3/pgrduKZlQyhBlw7eM3ejuNgLXorkvEa2xZ95GCTMhdzIJONkDgvNwJMYTggtsW49GKJ7DmqVtEBX06vQ4JWUkoWDAF531lIW75w1fx86r/wvVP3IzIeO8UgtPw5qyeJyoUsw5aWUTjZXa7XVT47OvXO1mzcvDQwV/iykeu88pmDp1eh/wLCnHdr76MtTt/ikmzcz2eA8lNWSQrFjy6+ZCiTOhs0o0b/trlmcidpMWCrcdbFGUS+Po7+zDQM6A53t83nxEFq/h07d23OpqCt7Og3WbHvrd2idaYf9MChIQaFGVERF8UERuJcMEUBelz9kBWuUX27HTB7SySJpkrHroWIaEh3k7Da3jlQERE5CHyEcRZijLRLik7Bd/5+EH89vLH0Xy00dvpDOvib61ASp5vdNsJRHOuOxev3fdn9LR1a15j64uf4MpHVyMsMkxhZqRKsHcWPFtoeCiWfGM5zr9tMba+8Al2vrIVJ7ZVDv2eyDAkZScjcVISEiclIyk7BYn/+/8nZSfDOCERIYbgvfH0NwkTEjF54VRUfKL9oVX5pgOYvrJUYVY0Hl0tnbBZJF25fP88FhoRhpU/ugYrf3QN2k62ov5gLUy1bWivaUN73en/NNW2wVTXrqlDWXh0OJJyUpCUk3L6vJZz+tyWlJOMtMIMjrgKAIWLi0TxJ7ZVwtI/iNAIXs+pJumMCvjHOYzI01LyU0Xx7Cw4dtJxe8ZMnsOI/FFcejwayus0xXY2dcDhcPhsd3d3Or61Al0tnaI1Sq85V1E2ROSKMTMBzRXa3oeZG1gs6EpPezfqD2p/Z6oP0SP//EKFGVEwSs5NxYL/XIJPnvnA26l4BYsFiYiIPKShvF4Un1ni3c6CZ6Tkp+EH236C17/7Mrb9+VPReCx3iEuLx4q1V3k7jYAWGhGGC267CO//6m3Na/S0d2P3a9tx3lcWKsyMVDHVy15QB2o3m4iYCCy5dxmW3LsM3W1dOHHkBK675lps2PQ2psycGpQPtQPZOdfPFxYL7leYDY2XqVZaaOPbnQXPlpSdgqTsFJdfs9vs6GzuOF1IWNuG9ppTMNW2w1Tfhu6Obnzy6Se48oarkV2Sg6ScFCTnnC52jk6M4XktwCVlpyA5NwWnqlo1xVsHLDix/RimLJZ1KCRn8s6CgdHlmUil1IJ0UfypE+wsOFaSEcQAz2FE/ipO0FlwsHcAA939iIiNVJiRf5COIE4rzEBG8QRF2RCRK8YJgmLBelPQFkOPpPLTI3A4HJrjJ83JDcrfGaTeygevxtYXPxFNBvRXLBYkIiLykIZyYWdBL48h/qIoYzRu+f1XcflD16LsvX04ufME2mtPoaulE10tnehs6fRaEeFVP70ekXEc6eluC7+2BB/8+p+iG7rNz3zAYkEfJRmPEBEXGRQ36jFJsUiYlIgeQx+ik1hQE4hmXnUO/nr3C5rjWyqb0Hq8WTzyjrQRd0j18THE46EP0cOYmQBjZgJy5xUM+VptbS2emP8M/vvhPyIry/tdrMnzpiwuwamqzZrjKzYfYrGgG0hHVflbwTORJ8QkxyIiNhL9XX2a4luPNyvOKHBJOwvyHEbkn+JS40XxHU3moHie9EUOhwN7/y4rFixdNZfPpIjcLD5T+0YG64AFvaYeRCfGKMzI/0k2aANA4ULZpASiM+IzErDk3mXY9Lj25ij+isWCREREHlJfpm0MAwDodDpkFPneDsHErCQs/OrFwFcvHnLcbrejz9yLrpYOdLZ0oqv5f//zf//78W0Vohbjw8kqzcH5ty5Svi45S8lLQ8nyGSh7T3vnrOodx3Fy9wlkz8lTmBmpICmySQjQroIUfIyZCZg4YxLqDtRoXqN80wEs/volCrOisZJ2FkwMoGJBopEULi7CZy9s1hx/dPMhXKEuHfpf8kIbXo8RnU2n0yGlIA21e6s1xbceb4bdboder1ebWABiZ0Gi4BSXLisW7GruQNrkDEXZ+IeaPVVorzklWqP0mrmKsiGi4RgzZfdX5vp2FguepXKLsFhwEYsFSZ1l37sCn6z7EP2d2jaW+Sve2RIREXmAzWJF89EGzfHJeakIiwpXmJF76fV6RCfGIH3qBBQuLMKc1fNx0d2X4spHrsOX192OH+37Bb788h1oCZe9yD/b9U/eDH0IL288ZdFd8gKYT575UEEmpJLdZkdHo1lzvJEvpymAFC+bKYo/9P4BRZnQeLULiwV5LqNgUSjsCli1/RgGg3BUi7tJNm4YwgyISY5VmA1R4EjJT9Uca+m3iO6Tgom0O6qRG9CI/FK8YAwxAHQ0dSjKxH9IRxAnTExE9jnchE3kbsZM2fnN3CC7Ngo0fR29qN13UnO8Tq9DwYIpCjOiYBedGINLv3u5t9PwOL5NJyIi8oDmyibYLNrH8vrSCGIVdDodchcUYEdiGb72wbex4PaLYAgPFa0594bz2Xrcw6atmIWk7GTRGjv+thU9pm5FGZEKXS0dojHi7AJBgWTa8hmi+CMflcE6aFWUDY2HqY6dBYnGIjErSTQu3TpoxYltlQozIgAwC85hxomJHEVHNIzU/HRRfOsxjiIeC1ODsLOgYNQfEXlPnLBYsLMp+AqyOYKYyD9INzKwWHCoY/9zFA67Q3N81qxsRMZHKcyICLj4m8sRmxLn7TQ8isWCREREHtAgGEEMAJklWYoy8T0phWm4+fk78NjJp3H5j6/R1AUjfWomvvzMbW7IjkaiD9Fj4deWitaw9A1i258+VZQRqWASdoHgGGIKJPkXTEF4tPbOvgM9Azj+2VGFGdFYSbpyhUWFIyohWmE2RL5tirC7YMXmQ4oyIQBwOByicxhHEBMNT1IcDZweRUyjk4whjk2NgyHMoDAbIvKUeOEY4mDrLNh4uB5NR7RPIgKA0mvOVZQNEY1EupFB2nU50FR8IhtBPJlNQ8gNImIjsfyHV3k7DY9isSAREZEHNJTViuIzSwKrs6ArcanxuOLh6/DYyd/ipmf/E+lTM8cUl1kyEV9/6zuIjONOIm84/7ZFCAkNEa2xZd2HcDi07yQjtSSdbAAgYSK7cVHgMIQZMGVJiWiNso0cRewNplpBoU0Wu3JRcClcLHvQfpTFgkr1tHfD0m/RHM/xnUTDk4whBlgsOFaSF+I8hxH5L3YWHB/pCOLYlDiO4STykHhhsWAHOwsOUbFFVixYuIjFguQei+68GAlBNG2GxYJEREQe0HBI1llwQoCNIR5JWGQYLrxjCR4qexz3vvM9FF0yHfoQ50uW6MQYXPrdy7F250+RNjnDC5kScLrIc87qeaI1misaceTjckUZkZS0syDHEFOgKVk2UxR/6H0WC3qa3WaHuZ5duYjGqlDYWbDq82MY7B1QlA1Ju06wyzPR8FIKZGOIW1gsOCrLgAVdrZ2a43kdRuS/opNiXD7DHavO5uDqLLj37ztE8TOvnCP6+yaisYvPkBVDcwzx/+nv6kPN7irN8TqdDpMvnKowI6L/ExoRhst/fI230/AY9nMn8nH9/f04cOAAamtrYTabYbPZkJCQgMzMTMycORMxMTFey629vR0HDhxAc3MzzGYzwsLCYDQakZeXh+LiYoSGhnott9raWpSVlaG9vR1dXV2Ijo5GQkICioqKkJ+f77W8KHhJxhDrDSFImzK2LnuBRK/XY9qKWZi2YhZ6zT048lE5Ops7YAgzICknGYWLihASyksZX7Dorkuw469bRWt88swHKLp4mqKMSEIyMgrgyx0KPCXLZ4ji6/afhLnBJB5ZQmPX0WSG3WbXHB9MO0iJgNPFZamT09FS2aQp3max4fjWChQtna44s+BkEnd55rUY0XCMExJgCA+FdUBb9052FhydtHMOr5mJ/Jder0dcWrzmopiOIOoseKqqBTV7qkVrlF4zV00yRDSq0PBQxCTHovtUl6Z4Fgv+nxPbKkXP7CZMz0J0ovdqIyjwnfeVhdj0+Nuan5H5E75hJ7/2yiuv4Cc/+QlsNptb1tfpdHjkkUewZs0at6w/HKvVio8//hivvPIKduzYAYvF9QOskJAQzJo1CzfccAOWLVuGsLAwt+fW3d2Nf/zjH3jttddw9OjRYb8vIiICixYtwpe//GXMmyfrODVWdXV1ePXVV/GPf/wDLS0tw35fQkICrrjiCtx4443Izc31SG4U3Cz9g2g5pv2iIm1yOgxhwf0rO8oYjdnXnuvtNGgY+ecXYsL0LNQf1D5ue/9bu2Gqb2cnFB9gbpAVC3JsFAWalLw0pBakoeWY9pfDh94/gPNvXaQwKxqJtOg5kePUKQhNWVwsehB6dPNhFgsqYhKew4wsFiQall6vR0peKhoP12uKbz3WDIfDAZ1OpzizwCHp7gzwfpLI38UKigW7gqiz4N6/y0YQR8RFYsqSEkXZENFYGCckai8WFF4fBZKKT2QjiAvYVZDcLMQQglWPfQnPXveUt1NxO/YnJr927NgxtxUKAoDD4cDg4KDb1ndl165dWLVqFe6991589tlnwxYKAoDNZsPu3bvx3e9+F1dccQW2bpV1dRqJw+HA+vXrcfHFF+PRRx8dsVAQON0RcdOmTbjllltw22234eTJk27Lrbe3F48//jiWLVuG5557bsRCQQAwmUz485//jMsuuwyPPvoouru73ZYbEQA0HWmAw+7QHJ8ZRCOIyT/pdDosuusS0Rp2mx3/8/zHijIiCckLakOYATHJsQqzIfINxcJRxOWb9ivKhMaivVbYlYudBSkISUcRV2w+pCgTYpdnIvdKzk/VHNvX0Yuedj5HHIlJOkqd5zAivxafHq85trO5A3a79m5T/kRaLDjj8lKEhntvshdRMDJmah9F3NncAZvVffUM/qRii6xYsHBRkaJMiIY3+5pzsfBrF3s7DbdjsSD5NZPJ/W17Y2M988Lb4XDgv/7rv/DlL38ZFRUV446vrq7Gf/zHf+Dxxx+Hw6G9KMmV7u5ufO1rX8ODDz4Is3n8reA/++wzXHHFFXjvvfeU5gUAJ06cwNVXX40//OEPsFqt44q12+34y1/+giuvvBKVlZXKcyM6o14wghgAMkuyFGVC5D7zvnwBImIjRWt8+vzHsFnGdy4n9cyClzvGCQnsskEBadpyWbHg4Q/KRCM2aHxM0mJBvqSmIDRlseyBe9WO4xjo6VeUTXCTdhZMYHdUohGl5KWJ4jmKeGTSgmd2FiTyb3Fp2otpbBYbek09CrPxTR2NJpzYKnsfVbqKE3iIPM2Yqf0axWF3oDOIuqcOZ7B3ANU7jovWmLyQnQXJM65/6hbkX1Do7TTcKrhnGpLf80SxYHy89p1QY2W32/H9738fGzZscPn1rKwslJaWIi3t9MOs5uZm7N27F7W1zuMe//CHP6ChoQFPPPEE9Hp5PXB7eztuvfVWl50EdTodSkpKUFJSgoSEBAwODqKmpga7du1yKiocGBjAfffdh1OnTuHmm28W5wUA+/fvxx133IGODucLrLCwMMyZMwcFBQWIjo5GT08Pjh07ht27dzt1i6yvr8cNN9yAZ599FnPmzFGSG9EXNZRpH80KsLMg+YeI2EjMv3kBNv+/DzSv0dFoxr63dmPOdZ4ZX0/OHA6H6AW1kS+nKUAVLi6CIcwA66C2guae9m6c3HUCufMKFGdGrrCzINH4xWckIG1KBpqPNmqKt1ttOP5ZBYovnaE4s+BjEoyo0ofoEZfm/udYRP4stUBYLHisGbnn8ppuOJJzGHB6AxoR+a84QWdBAOhs6kBMUmBPrNj31m5Rw4/QiFCULOc1N5GnxWfKrlE6GkxICPJNESe2H4PNor3DYkbRBMSl8n6XPCM0PBTf+deP8NFT7wVsgwwWC5Jfc3exYEhICDIyMtz6MwDgV7/6lctCwVmzZuH+++/HOeec4zJu165d+PWvf429e/cOOf7ee+8hNTUVa9euFeU1ODiIu+++22Wh4FVXXYV7770XWVnOHc+sViveffdd/OY3v0FTU9O/jzscDvzsZz9Deno6LrlENq6ytrYWd955p1OhYHh4OL72ta/hlltucdkVsqurCy+99BLWrVuHgYGBIce//vWvY/369Zg0aZIoN6KzNRySdhZksSD5h0V3XSIqFgSAT9Z9yGJBL+rr6MVg78Do3ziMBL7YoQAVHh2Bggun4MhH5ZrXKNu4n8WCHmKqkxULJrJYkILUlMXFmosFAaBmbzWLBRUwCwpt4jOM0IdwkAzRSFLy2VnQncwNHENMFMzi07V3FgSAjiZzwD8Ll44gLlk+E+HREYqyIaKxkm5okF4jBYKKT2QjiNlVkDwtxBCCS797ecBODGKxIPm1s4sFFyxYgOeeew4hISFeymj83n33Xfzxj390Ov6Vr3wF3//+90f8s5xzzjl4+eWX8atf/QovvPDCkK/96U9/wowZM3D55Zdrzu1nP/sZ9uzZM+RYaGgofvGLX4y4rsFgwJVXXolFixbhnnvuwY4dO/79NYfDgfvvvx9vvfUWsrOzNeVlsVhw9913o7196AP0tLQ0PP/885gyZcqwsbGxsfj617+OpUuX4o477hhSzGg2m3H33XfjjTfeQFhYmKbciFxpEIwhNoSHih9kE3lKZslETF44FZVbjmhe4+jH5Wg8XI+MogkKM6Oxko6948goCmQly2aKigXLN+3HFQ9dqzAjGo7kXBYRG4nI+CiF2RD5j8LFxdjy7Eea4xsP1yvMJnjJujzzWoxoNCnCzoItLBYckWQMcXhMBCLjeB1G5M/ihMWCnU3m0b/Jj/W0d+Povw6J1ihdNVdRNkQ0HkZhZ0FzPYsFK7fIigULFxUpyoRofAJ1U2Zg/qkoaJxdLJibm+tXhYJmsxk//elPnY6vWbMGa9euHdOfJSQkBD/4wQ9w4403On3t5z//ucsRvWOxa9cuvPrqq07HRysU/KL4+Hg899xzmDZt2pDjfX19ePjhhzXlBQDPP/+8U7fD2NhYvPDCCyMWCn5RYWEhXnzxRacx0xUVFfj973+vOTeis/V39aGtulVzfEZRJkIM/nNeI1p0l6xzLABsWfehgkxIC0knG4DFghTYSpbPFMVX7ziOnvZuRdnQSEy12s9l7GZDwWzK4mJRfOMhFgtK9XX2or+zT3M8z2FEo0vKToFOr32MFDsLjkxyT8lzGJH/UzGGOJAd+Oce2K3aR3DqDSGYfnmpwoyIaKzExYJB3lnQ0j+IE9uPidZgsSCRWiwWJL/V19eH/v7+IccSE/3rgcLTTz+NtrahI7IKCwvx4IMPjnuttWvXYurUoe1329ra8PTTT497LYfDgUceeQQOh2PI8TVr1oy7U2FkZCSeeuopREUN3RW6detWbNq0ady5NTU14ZlnnnE6/vDDDyM/P39ca+Xm5uKRRx5xOr5u3To0N/PBH6khfWGWEeBjFyjwlK6ai7g02YPBz//6GWyCB2eknbSzIF/uUCDLLJkoKoh12B04/GGZwozIFZvVho5G7Q9gE7J4HqPgFZcWj6TsZM3xTYfrYbcH5mgWT5F2m0iYwDHqRKMxhBmQOEn7ua71eIvCbAKL3W4XvQiXjvcjIu9TMYY4kElHEE9dUozohBhF2RDReEg3yZsbZM/d/V3VjuOwDlg0x6dOTkd8Bq8ViVRisSD5rbO7CgJAUpL/PBQ9deoUXn/9dafjDzzwgKYRuKGhoS6LDF9//XWngsTRfPTRR6ioqBhyLC4uDt/5znfGnRcAZGVl4fbbb3c6/uyzz457rT/+8Y8YHBwccmzu3Lmaxy2vWLEC8+bNG3JsYGDAaawzkVYNh7SPIAaACSVZijIh8gxDmAEX3H6RaI2etm4c31ox+jeScvIxxLxhp8Cl0+lQcukM0RrlG/cryoaG09FggsPuGP0bh5Ew0X/uKYncIaN4gubYgZ4BmGrH9/yBhuLGDSLPSBWMIu5sMqO/u3/0bwxC3a1dsFm0b/xjp3oi/yfdQNzVEridBfu7+3Fo0wHRGqWrzlWUDRGNV0xKLPSCKWAdQd5ZsPIT4QjihewqSKQaiwXJb7kqFvSnzoIvvfQSBgYGhhwrLS3F/PnzNa85d+5czJkzZ8ix/v5+vPTSS+Nax9UY3htvvNFpZO943HrrrU7dBcvLy7Ft27Yxr9HR0YH169c7Hb/rrrs05zVc/Kuvvoquri7RukSAvLNg5jR2FiT/s/CrS0RjnQDg4Dv7FGVD4yEdQ8wiGwp0JctlxYKH3j/g1L2b1BIX2mTxPEbBLaNIdv/BUcQypjpZsSU3bhCNTUqe9mJBADh1gt0FXRHfT7JYkMjvRcRFIjQiVHN8RwCPIS7fuB+Wfu1dtXQ6HWZeNWf0byQit9Dr9YjP0N49VdpF3t9VfnpEFD+ZI4iJlGOxIPktV8WCCQn+8VDU4XDgrbfecjp+/fXXi9d2tcaGDRvGHF9TU4O9e/c6Hb/uuutEecXExGD58uVOx139PQzn/fffR29v75BjEyZMwPnnny/Kbf78+cjKGtq9rbe3Fx988IFoXSIAaDrSIIrP5Bhi8kOJk5Ix4/LZojXK3nX+XUTuJ3m5o9PpEJ8u20FO5OumLp0mKoY2N5jQUFarMCM6W7uwqxm7clGwSy/KFMWzWFBGPIaY5zCiMUkRdBYEgJZjTYoyCSwmYbEgOwsS+T+dToc4wSjizgAeQywdQZx/QaF4zDMRyRgztdchmIO4s6DNYsXxrZWiNQpZLEikHIsFyW/5c2fBffv2obGxccixkJAQLFmyRLz2RRddBIPBMORYfX099u8f28iz9957z+lYcXGxUzGdFpdcconTsQ8//NBprPBwNm7c6HJNnU7WvUqn02Hp0qVOx999913RukQA0CgYQxwaGYbE7GSF2RB5zqK7nM+r49FQXoe2k62KsqGxkrygjkuPR0ioYfRvJPJj0QkxyJs/WbRGGUcRu5V0BGoiOwtSkJOMIQZYLChlFnZHNbLLM9GYpOTLigVbjzcryiSwiM9h7I5KFBDiBBtJOwO0s6BlwIKD/5RtjC5dNVdRNkSkleRapdfUg8G+sb0PDzTVu05gsHdg9G8cRlJOCp/XEbkBiwXJb/lzseDHH3/sdKyoqAhGo3xXUHx8PIqKnKvrXf3MseYmGY38Reeeey5CQkKGHOvq6sLOnaPvqOrt7cX27dudjp933nlKcnO1zvbt2506GRKNx2DfINqqT2mOT5+aCb2ev6rJPxVdMh1JwmLXsnc5itjTJOM72QWCgkXxpbJRxOWbDijKhFyRFgtyDDEFu4wiYbHgERYLSoi7cgk6XRAFE2mx4KnjHEPsiondUYkIEHW/6z7VBZvFqjAb33DkozL0d/WJ1pjFYkEir4vPkN1vdQRpd8HKT2QjiNlVkMg9WIFAfstsHtqO3GAwID7eP0bfuRrzW1paqmx9V2vt2bNn1LjBwUGUl5ePaT0tYmJiMHmycycWV38fZztw4ACsVuebxFmzZinJzdU6FosFZWVlStan4NR8tAEOh0NzvLSrB5E36fV6TF8p+/1xkMWCHjXYN4ie9m7N8XyxQ8GiZLmsWPDYp0fQ392vKBs6m7TQhucyCnZRxmhRwVnjoXrRPVCwk2zciEuLhyGMXZ6JxiIlP1UU33KcY4hdMTdwDDERnb4m0crhcKCrtUthNr5h75uyEcSTZucgOSdFUTZEpJV0c1awjiKu2HJYFD954VRFmRDRF7FYkPzW2Z0FjUajeBytJ9hsNpcFaFOmTFH2MwoLC52OlZWVwWazjRhXXl4Oi8Xi1ty0Fgu6GqOclpampBsjcLojY1qa867ifftYqELaSUdwZUxlsSD5N2mx4JGPy4O2Nb83mNnJhmhMsufkITopRnO8zWJDxeZDCjOiL5J0FoyMj0JEbKTCbIj8k2TTUl9HLzoazaN/I7lkqtN+DuP4TqKxC4+OQJyg81UrOwu6JBlDrDeEIDY1TmE2ROQtkvMrAHQ2Bda1pM1qw/4Nu0VrlK46V1E2RCQhveeSPn/3RzarDcf+56hoDXYWJHIPFguS3zq7WNBfRhBXV1ejr8+53Xhubq6yn5GTk+N0rLe3F9XV1SPGHTni3AY4NDQUWVlZijJznZurnzuW78nLy1OR0r+5yu3wYdluBwpujYeFxYLsLEh+rnBxMUIjwzTHW/oGcfRfzh1vyT3M4pFRHN1JwUEfopePIt7ovBGG1Giv1f7glSOIiU4TjyI+VKcok+Ay2DeInjZJl2eew4jGI7VA+yji9ppTsA4G3phMKck9pTEzAXo9X1cRBQLJGGIA6GzuUJSJbzj2P0fRfUrWLbH0Go4gJvI2M4NIAAAgAElEQVQF7Cw4frV7qzEgmLCSMDERybmyruBE5BpnU5DfOrtYMCHB+Rf0kSNHsHnzZuzbtw/Hjx9HZ2cnuru7ERoaipiYGEyaNAmTJ0/G/PnzceGFFyImRnuHkLFqaGhweTw9PV3ZzxhurYaGBuTn5w8b5yq31NRUpQ9qXOXW1taGgYEBhIeHjys3lX9nw6033P9eRGMhLhYsylSUCZF3hEWGYerFJTj4z9E7yA6n7N19mH6ZrEMhjY2kkw0AGDm6k4JIyaUzsPNvWzXHl286oDAbOsM6aEWX4MVSYhbPY0QAkFE8URTfeKgeRUunK8omeHQIXxxxfCfR+KTkp2nucuKwO9BW3Yq0wgzFWfk3k6BbDrujEgWOuDRZl9COAOssKB1BnD41U7yZh4jUkN5zSTfr+6OKT4QjiBcV+cVkSSJ/xGJB8lvDdRa0WCx466238Ne//hXl5a67EVmtVvT19aG1tRW7d+/GK6+8gsjISCxfvhx33XUXsrOz3Zb3cMVnqanqquKHW2u0wjdXX09JSVGS0xmucnM4HGhoaBixu2J9vXPRlSdyc/Vzicaq6bD2YtOQ0BCk5Gvf5U7kK6avmCUqFjz47j58yeHgDaEHiDsL8uUOBZHiS2VFMK3Hm9FyrAmpBWo3vwQ7c4MJDodDczy7chGdJu1w3niI99FamATjO4HTHReIaOxS8mTPYluPN7NY8Av6u/rQ3+k8TWesWCxIFDjkY4gDp7Og3W7H3r/LigVLV7GrIJGvkHYW7GgMwmLBLbJiwcKFHEFM5C7s605+6+xiwfr6erz44ou45JJL8MADDwxbKDicvr4+/P3vf8fKlSvx5JNPwmazqUz331paWpyOhYeHIyxM+5hGV+uFhoaO6WeP9vXY2FhleY203ki52e12nDp1asxraeVqvVOnToleOFLwslmsaK5s0hyfOjkdIaGs6Sf/N32lrCtgW3WruEsnjY30BTU7C1Iwic9IQNYs2QYjdhdUz1Qr65DKQhui06TFgg28dtNE2uWZ5zCi8UkRbtpoOdasKJPAYBZ0FQSAhAnctEEUKOTFgoHTWfDkrhPi8+Psa89VlA0RSUXERSI8evgpeaMxBVlnQbvNjmOfauvkfUbhIhYLErkLiwXJb5nNQ28YDhw4gMceewyNjY2idS0WC9atW4fbb78dfX3ad0MOp7e31+lYdHS08p/jaqTyaH8eT+Q23Kjn/v7+YWP6+/tdFux5IjeHwzFibkTDaTnWDLtVe9Gx9AUdka9InJSMzGlZojUOvqO9MyGNnblB+nKHL6gpuJQsmymKL9+0X1EmdIa4WDCLL6mJACAmKRaxqdrHxzWW13HTnQbsLEjkWSn58s6C9H+kL7/ZWZAocMSlxYviO5oDp7OgdARxUnYyskpz1CRDRGI6nQ7xgu6CHQ3BVSxYf7AGfR3OtQdjFZduROpkTmUhche2LCK/1NXVhcHBwRG/x2AwYO7cuVi0aBHmzJmDlJQUJCUlYXBwECaTCWVlZdi2bRvefvttl0Vy27Ztw913343nn38eISEhynJ3VXjmqguglMHg/M97tKI3T+TmKi9g5ELG4fJW2Y0RGDm3yMhIpT/LH9lstlFHWdP/ObzloCg+KjMWtbW1irLxTWc+T/xcBb6cC/PRUKb987zr75+j+Euzxh3Hz9j4NJ/Q3g01Ij4SzW0tgKxOx+/wMxbckktlD6uOfFSGqmNVMIQPf1vOz9j4VJWdEMVbw+0Bf/11Nn7GaDgJecnoaunUFNvT3o2j+46gY/B0PD9fY1N7pEYU36cf4DmMaBwskbKpMjVl1UH3b24kxw8cE8XbIhxB+ffJ8xi5m7c+Y+FxERjo1NaEofVkc0CcDxwOB3a8tlW0RsHSqairq1OUkXvwPEbu5mufsYikKKBSW6ypvh01NTXQ6XRqk/JRO97aJoqfOHeS28+Bvvb5It+UmZmptF7IV+gc3OpLfqi7uxu33HKLy1HDkZGRuO6663DbbbchMzNz1LXMZjN+97vf4aWXXnL59bvvvhvf+MY3xDmfsXbtWrzxxhtDjk2YMAEff/yxsp8BABdddJHTL7Zrr70WP//5z4eNWbp0qdNN2KpVq/CLX/xCWV61tbVYunSp0/Ff/vKXuPrqq13GNDY2YvHixU7HH3vsMVxzzTXKcnvjjTewdu1ap+ObN29GRkaGsp/jr1paWlBaKhsnGkwKuiZhaneu5vg9xkNoiGxVmBGR9yQOxuP8tvEX+51hhwPvp30Gq172ModGdnHzfETatY1R6DR0Y0vKbsUZEfk2nUOHZc3nw+DQvgdvW+J+tIUHzoglbyvpKEBur/buzP9K2YEeg/ru8kT+aFpHAXIE/562Je5DW3jgdIXxhHPaS5A+kKw5/r20T2HT2xVmRBT4Lm06H2EObRulu0J68EnqLsUZ+a+C7kmY2qX9OdjWpH1oD+PvDaJAsbhlLmJsUZpiu0N6sTlV1pHPF8RaorHo1DmiNT5L2gtTmLYNPETkHqWmqZjQn6Y5flPaZ7DorQoz8l1z2ouRMZCiOf5gXCVORrOIj7xv7969SE2Vdab3RewsSH4pJiYGr7/+OtavX4+nnnoK7e3t0Ov1WLVqFe677z6kpIz9F4/RaMSDDz6Ic889F/fddx+s1qG/oJ977jmsWrUKWVmyEYpnuOpeZ7OpL35wteZoXQJdVUSrzs1ud/3geqQugcNVansqN3d0fvRHSUlJ2L59u7fT8Bt/v/dvKN+wT3P8M397FmnFoxc8+7OGhgZcc801ePPNN8dU3E3+y2614YnSR9Hfqa0AQw8dnnvoGRSvnDGuOH7Gxs5uteGxyQ/AAW37iEovmI3H//zfirPyffyM0Wt3/AkV7x/SHP/t1d/AxWsvG/br/IyNj/R/j42fbkJopNru5b6OnzEazs4Xt2LTQ29pjn/kvoeRuTSbn69x+OOVv0XDfm1dEyLiI/HZDlnnGn/EcxhJ/eHyp9F4sF5TrDEkDls/2wp9iF5xVv7pvQf/gd0vae8e8/I//oqESUkKM/IPPI+Ru3nrM/bnNc+iZru2zu9JUQkB8R5iy1MfYMuTH2qOj06JwTufb/T53zM8j5G7+dpn7MOfvYPtz23RHP/mX15HSmHgj9Z12O14Yvaj6BvQPob4d2/8P7f/Xfna54t8U1JSYN6nsFiQ/JZer8eaNWtw2WWX4c9//jOWLFmCoqIizetdeumlePjhh/Hggw8OOW6xWPD888/jJz/5iTRlAEBERITTsbMLFFVwteZoo3RdfV11bsOt5+rv5Yzh8ladm8VicXl8pNyCSUhIiLKi2WDQWWPSHKvT6TBjYSnCguRldWZmJj9bQWDaipnY9ar2B32Nn9di2Z0rNcXyMzY6U10bHHbtDcfT84P775ifseB1ztXzRcVpNVtPjOmzw8/Y2PSf0v4AMjoxBnmF+Qqz8S/8jNHZei6Yhk3QXizY39T77wft/HyNTU9Lt+bYpEnJQf13zM8YaTWhOEtzsaBt0IZYfTQSs7R3BA0k1o5BUXzRnGKERgTHczBXeB4jd/P0Zyw1O1VzseBA1wDSktP8/tl47dZqUfycVfOQnZOtJhkP4HmM3M1XPmNZU7MhKWeOsIX7xJ/D3erLatFn0v6cLiY5FqVLzvHYyGZf+XwReZJvb0cgGoPY2FjcfffdokLBM1avXo1zznFuC75x40YMDsoeeJzhqvCst1f7L8vhuFpztKI3T+TW09Pj8vhIhYzh4a5HIqrObbj1RiuyJDqb3WZH0xHtrbGT81L9/mEI0dmmXyYbY1723r5hO8CSnLlee4EzACRMTFSUCZF/KVk2vo6nZ6s/WAtTfbuibMhUq/3vMiErMHeIEmmVUax9BDEANB7WVnwTrGwWKzqbtI/f5LUYkTYpedpHyAFA6/FmRZn4P8k1bUxybFAXChIForjUeFF8Z7N/jyUf7BvEyd1VojVKr5mrKBsiUsmYmSCKNzfInsP7i4pPDoviJy+c6rFCQaJgxWJBorPceeedTsc6Ojpw8OBBJesbjUanY729vUq75FmtVvT1OY96TEwc+eGxq9w6OzuV5QUA3d2ud8onJAx/cRUWFoaoqCin46pz6+rqcjoWHx8/7BhkouG0nWyFpd91p8qxSC9iq2sKPCXLZ4pu7rpaOnFyl7YdyTQ6U52sWMk4gS+oKTgl56YirTBDtMahTQcUZRPcLP2D6GrVfn+QkMXzGNEXxaXFIyohWnN84yEWC45HR6MZDof2Ls+8FiPSJqVAVizYcozFgmeYBfeUPIcRBZ64dOd3TePR2WRWlIl31O6tht1q0xwfZYxC4eJihRkRkSrGCcJiQeGmfX9RuUVWLFi4UN4kiohGxmJBorPMmzfPZYe9I0eOKFl/uHn3bW1tStYfaa3hfvZIX1eZFwCcOnXK5fEJE0buWuDq66pzc7XeaH9nRK5IX4xlFE1UlAmR74hNiUPOPNl4x4Pv7FOUDZ3NLOxsxm42FMyk3QXL32exoAriDql8SU00hE6nE3UX7Gwyo8+sfopCoOLGDSLvSMlnZ0EVbBYruloEmzZ4P0kUcOLShZ0F/bxY8MT2SlH8jCtmwxBmUJQNEanEzoKjczgc8s6Ci1gsSORuLBYkOktYWBimTp3qdLyxsVHJ+sMVnzU1NSlZHwCam10/qJo4ceQCJFe5DbeWVq7Wi4uLQ2xs7IhxrnJT+XcGuM5ttCJGIlekI7cy2FmQApSKUcTkHnxBTaRdyfKZovjDHxyETdBxgE5rr5VtJOIYYiJnGUWy++FTlS2KMgl83LhB5B3iYsETLBYEFHRHFb50JyLfEy/sLNjR5N9jiKs+PyaKnyZ8hkpE7hMvLhaU3fv5g+ajDaKNJFEJ0ZgwPUthRkTkCosFiVxwNRJX1cjbvLw86PXO//SqqqqUrA8A1dXVTscMBgOys7NHjMvPd+741N/fr6xQEgBOnjw5pp87lu9x9eeUcJVbQUGB0p9BwUFcLCjo4EHky6ZfNksUf3LXCXT4+c5iXyV9SMEX1BTMChcVwRAeqjm+19SD6p3HFWYUnEzCYsFEFgsSOckolnU8b+V4zjGTbtzgtRiRNvEZRoRGhmmO53nuNG4+I6KzBfsY4qrPZff4+ecXKsqEiFQLDQ9FdFKM5viOIOgsWPGJbFrj5AunuqylICK1+K+MyIXo6Gi3rR0TE4O8vDyn4xUVFcp+xvHjzjciU6ZMQWRk5IhxM2e67oqiMrdjx5x3VJWWjr5LasYM5/FudXV16OnpUZJXf38/6urqnI7PmiUrbKHg1HS4QRSfPpWdBSkwZZXmID5D9rCQ3QXdQ/JyJzQiFFEJ7rt2IvJ1YVHhmLzQuTP5eJRv5ChiKXGhDYsFiZxkCjcxsbPg2MmLBXkOI9JCr9cjJS9Vc3zj4QbYLFaFGfkndkclorPFi8cQ+29nQXODCe01pzTHGzMTeF4k8nGSrsjmBv8uhh6Lyk+FI4iFz1mJaGxYLEjkgsnkXNUfFxenbH1XRXl79+5Vtv6+fc6FFGMpyEtMTERWlnNb3z179ijJy2Kx4NChQ07Hx1KQ5+p7HA4H9u/fryS3srIy2GzO49+GK6AkGo7D4UDjIe2dBRMmJiIyLkphRkS+Q6fTYdoKWRF22bssFnQHc732HY0JExOh0+kUZkPkf0qWOW9sGY9D77NYUEraWZAvY4icpYvHELPj1liZWGhD5DUpBdpHEVsHLKg/WKswG/9kEtxPAoBxAscQEwWamJQ40bOizhb/LRaUjiDOnV/A52xEPk7SFbmzyQy7za4wG9/icDjEnQULFxUpyoaIRsJiQSIXWltbnY6lpWl/cHS2BQsWOB07ePAguru7xWsPDAy4LKBbuHCh5ty2b98uzgs4XcQ4MDAw5FhoaCjOO++8UWMzMjJcjgTetm2bktxc/RlnzJiBxEQ+cKfxMTeY0N/Vpzle+kKOyNdNXzl68fpIDr1/ENZBdm5QyeFwiLrZcGQUEVCyXLbBpHrHcXS3dSnKJji117FYkEi1hImJCI+J0Bzfys6CY2YWXIuFx0QgIm7kSRJENLzU/HRRvLQoJBBIzmEA7ymJAlGIIQQxKbGa4zv8eAzxie3CYsF5zu/BiMi3GDO0b3Sw2+zo8uOC6NGcOtEi6jodERuJiTOzFWZERMNhsSDRWdrb212Oyi0qUlfFftFFFzmNBLZYLNi8ebN47W3btqGvb2ihktFoxAUXXDCm+BUrVjgd279/P5qb5R0BPv74Y6djF1544Zi7Ni5fvtzp2Pvvvy/OCwD+9a9/OR1buXKlkrUpuDQd1t5VEAAyWCxIAa5o6TSEhIZoju/v6sOx/zmqMCPqae+GdcCiOd7IAhsiZBRNEBWbORwOHP7goMKMgo+pVvuDyNiUOIRGhCnMhigw6HQ6ZAhGEXc1dsBg137dF0xkGzcS2H2GSGDSnFxRfNXO44oy8V/mBnZHJSJncWnaRxF3+PGYzqrPK0XxefMnK8qEiNxF2hVZ2pXZl1V8IhtBXLCgECEGPkcg8gQWCxKdZcuWLbDbh7b/jYqKQklJibKfERkZiYsvvtjp+GuvvSZe+80333Q6tmLFChgMhjHFz507F+npQ3fUOhwOrF+/XpSX1WrF22+/7XT8iiuuGPMaK1eudHoAXl1djZ07d4pyq6ysRFlZ2ZBjBoPBZeEk0WgkI4gBFgtS4IuIjRS3kecoYrUkL6cBwJjJFztEOp0OJctk3QUPf1g2+jfRsCRjiBOyeB4jGo6kWBAAYqxRijIJXHa7HeYG7S+LWGRDJJN7br4ovnoHiwUlL7zDosIRGc/fFUSBKC7dqDnWVNcGi2Bjq7fYrDac3FWlOV4foke2sIidiNwvPlNWLNghuP/zdRVbZMWCkxdyBDGRp7BYkPxWZWWlyw6AEjabDc8995zTcVedAKVuu+02p2Off/459uzZo3nNkydP4sMPPxxyTK/X49Zbbx3zGsN9/1/+8hfRmOQNGzY4jXeeOHEili1bNuY18vLysHjxYqfjzzzzjOa8AOAPf/iD07GVK1cqHT1NwaNR2llQ+DKOyB9MWzFLFH/w3b2KMiEAorEAAF9QE50hHUVcs7daTSJBaLB3AD3t2u9VEiYmKcyGKLBINzOxWHB0XS2dsFttmuN5DiOSSc5LRXRijOb4psMN6OvsVZiR/zHXad+0we6oRIHLKCimcdgdaKtqUZiNZzSU1WKwd0Bz/IQZkxAWFa4wIyJyB2lnQenzeF9WKewsKG00QURjx2JB8ksbNmzAddddhzVr1mDXrl3K1n355Zdx/LjzbtCbbrpJ2c84o6SkBAsWLHA6/uijj8Ji0bZj6pe//CVstqEPmJcvX46cnJxxrXP99dfDaBy668tkMuHJJ5/UlFd3dzeefvppp+P/+Z//iZCQ8bUSvvPOO52OffbZZ9i0aZOm3MrKyrBhw4Yhx/R6Pb761a9qWo9IXCxYlKkoEyLfNX1lqSi+6UgDWk80K8qGpJ0FWSxIdNrUi0ugD9F+i91QVuuXnRN8Ac9jRO6TWTxRFB9rjVaUSeASd3mewHMYkYROp0OOoLugw+FAzW7tXaT8ncPhgFkwLpTXYUSBKyVf1oyh5Zj/Pfs7sV3W4CRvXoGiTIjInSTF0ABEneV9WdvJVrSdPKU5Pjw6nN1ViTyIxYLkV2w2G372s5/h/vvvR39/P7q7u3H77bdj48aN4rW3bt2KX/7yl07HlyxZgtmzZ4vXd+WHP/whQkNDhxw7dOgQHnvssXGv9corr+Cjjz4aciwqKgrf/e53x71WdHS0y7iXX34Z77333rjXe+ihh9DY2DjkWHFxMVavXj3utWbNmuVydPGPf/xjVFWN78FcV1cX7r//fqcCyxtvvBEFBbwpI22aDjdojo1NiUNMcpzCbIh8U1phBlILZA8MD77DUcSqmAUjowD5TkqiQBFljEbufO3XkDaLDY3ldQozCh7tghHEAJCQxa5cRMPhGGL3k3TkAlhoQ6RCzlzZKOKqIB5F3NPWBatgwwsLnokCl/TZX0tlk6JMPKfqc1mxoOSZAhF5jrRYsEOw0cKXHfm4XBSfd34hQkINirIhotGwWJD8SmdnJ958880hx/r7+/Gtb30LTzzxBKxWq6Z133rrLdx9991O8UajEQ8//PCwcSaTCTNmzMCUKVOG/J+rokNXCgoKcNdddzkdf/nll/GLX/zCqYhtOG+88QZ+8pOfOB2/7777MGGCtgf7q1evxvz584ccczgc+N73vod33nlnTGtYrVb8+Mc/xj//+c8hxw0GAx599FEYDNp+4T/wwANITBz6IMlsNuPWW2/F0aNHx7RGe3s7br/9dpw4cWLI8czMTHz729/WlBdR96lOdLV2ao5PZ1dBCiLTLpN1F+QoYnXM4o5cLLIhOqPggimi+Jo91WoSCTImYbFgIosFiYaVmJ2M0MgwzfEsFhwdu6MSeV+uoLMgAFTvDN5iQXF3VOHLdiLyXamT00Xx/tlZsFIUnzd/sqJMiMidYlPjRdNFTA2BOYb40PsHRPGFCzmCmMiTWCxIfiUhIQEvvvii04hch8OBZ599Ftdffz327Nkz5vUqKipw33334Xvf+x56e3uHfC00NBRPPPEE0tKG3/3U09ODgYEBp+Mm09g79Nx555246KKLnI6/8MILuOGGG7Bz585hY0+cOIH77rsPa9eudSosvPzyy3HzzTePOQ9XfvOb3zgVGw4ODuLb3/427r//ftTU1Awbu23bNlx//fV49dVXnb72ox/9CNOmTdOcV0JCAn77298iLGzoC4umpiasXr0av/vd79DZ6bpga3BwEG+88QauvPJK7N+/f8jXoqKi8Lvf/Q7R0RyTRNo0CroKAkBGkaxrB5E/kY4irth8GAM9/YqyCW6ShxP6ED3i0uIVZkPk3ybNlo3KqNkTvCPsJMQvqVloQzQsvV6PDMGmpihbBAZ7BxVmFHg4hpjI+yRjiAGg6vPgLRaUdqpnwTNR4EotkBYL+ldnwR5TN5qPNo7+jcOISogWF1gSkWfoQ/SISzeO/o3D6AjAMcR2mx2HPygTrVG4aKqibIhoLNjHk/zO9OnT8dprr+Gb3/wmDh8+PORr5eXluOGGGzBz5kxcfPHFmD59OrKyshAdHQ2r1Qqz2YzW1lbs3bsX27dvx65du+BwOJx+RkREBJ588klccMEFbv/zhISE4IknnsDtt9/uVOi4f/9+3HTTTZg4cSJmz56N9PR06HQ6tLW1oaysDEeOHHG55nnnnYfHHnsMOp1OlFtycjKef/55fOUrX0Fra+uQr23YsAEbNmxASUkJpk2bhoSEBFitVjQ2NmLPnj1OY4fPuOuuu/ClL31JlBcAnHPOOXj88cdx//33w2L5v1EXAwMD+O1vf4t169bhnHPOQUFBAWJiYtDf34/q6mrs2rULXV1dTuuFh4fjySefRElJiTg3Cl6Nh+pF8SwWpGAyeeFUhEeHY6DHueh+LKwDFhz5uBwzr5ijOLPgI+ksGJ9hFO2iJAo0k2bniOJr9lYrySPYsLMgkXtlFE/U3PlUBx3ajrcif4qsECeQmYUvilhoQyQXmxKH5NwUnKpqHf2bXTDXt8NU346EICzeNdWz4JmIXIuMj0JsSpzmSTytflYsWC0cSZ87r0D8To+IPMc4IQFmjddB0s0Wvujk7hPoae/WHB8aEYrsuXxuQORJLBYkv5SdnY3XXnsN69atw+9//3un7n779+936ho3Vnl5eXjqqacwZYpshNh4REVF4U9/+hPWrl2Lt99+2+nrdXV1qKurG9Na1157LR555BGEhoYqyS0/Px/r16/HXXfd5VScCZwu0CwvLx91HYPBgB/96EdKCgXPWLFiBZKSknDvvffCbDYP+ZrFYsG2bduwbdu2UddJSkrCf//3f6O0VNbliqjxsLBYsJjFghQ8QsNDMXXpNOx/a7fmNcre2cdiQQUk3Wz4YodoqOS8VETERaK/s09TfN3+k7BZbQgxhCjOLLCZ6rQXC+p0Op7LiEaRPlV7Z0EAOFXpfyPkPElyLWYIMyAmOVZhNkTBK+fcfM3FggBwcufxoCwWlGw+A06/aCeiwJVSkKa5WLDt5ClYB60whPnHq+wT24+J4nPnFSjKhIg8wZip/Rqmp70blv5BhEaEjf7NfuLQJtkI4oIFUxAarqa2gYjGhm1AyG+FhYXhG9/4BjZu3Iibb74ZUVFRovWSkpLwwx/+EBs2bBAXCmrZ/RMWFoZf//rXo44+Hk5GRgaefvpp/PznP1dWKPjFtV999VXce++9iIiIGHd8aWkp3njjDaWFgmece+65ePvtt3H55ZePO1an02HVqlV4++23WShISkiLBdPZWZCCzPTLZOfeg+/uddkhmMauv7sffR29muPZyYZoKL1ej0mlOZrjLf0WNB1pUJdQkGiv1f6SOjYt3m9ePhF5S6ZwU1PrsRZFmQQms6Dg2TgxkR1oiBTJEXYyqRJ2lPJX8jHE7PBMFMgkY3UddgdOVfnPdWTV57Jiwbz5LBYk8ieSYkFA3mHe15S/LysWLL50hqJMiGis+ESc/F5mZiYefPBBfOtb38JHH32EDz74ALt370Z7++gvjOLj4zF//nwsX74cS5cuRVjY+Cr44+LiEBMTg+7uoW11Cwq0X9SvXLkSS5YswT//+U+sX78eBw8ehN1ud/m9er0eM2bMwOrVq3H55ZdrKuQbq/DwcNxzzz1YvXo11q9fj3/84x+ora0d9vvDwsKwcOFCrFmzBhdeeKFbH16npqbiN7/5De644w787W9/w8aNG506DX6R0WjEihUr8KUvfQlTp051W14UfJoExYIRcZHimwsifzPtslmieFNdO+oP1mLijEmKMgo+WkclnMHzFpGzrNIcVHzi3JF7rGr2VGHCtCyFGQU+SaENi56JRpdRPFEUz86Cw3M4HKLOgjyHEamTe66sWLB6Z3AWC5oatJ/D9AbSAFYAACAASURBVCF6xKXFK8yGiHxNav74G2N8UUtlE9KnyLpce4LdbhcXC+YIfw8RkWfFC5+LdzSYkJInO0f6il5zD6qE3VVLlrFYkMjTWCxIASMmJgZXXXUVrrrqKgBAbW0tqqur0dDQgO7ubvT39yMsLAzR0dFIT09Hbm4usrOzoddrb7AZFxeH3bt3o7Ky8t+d7YxGI9asWSP6s0RGRmL16tVYvXo1urq6sH//fjQ0NPy7AM5oNCIzMxMzZ85EbKxnx82kpaXhnnvuwT333IPm5mYcOHAALS0t6OrqQlhYGIxGI3Jzc1FSUjLu4kupqVOn4pFHHsHDDz+MY8eO4ciRIzCZTOjp6UF0dDQSEhJQVFSE/Px87rwn5fo6e0UveTKKJvBzSUEnYUIismZlo3bfSc1rHHxnL4sFBaRdIIx8QU3kZNLsXFF8zZ5qnHfLQkXZBL7+7n70mgUdUrPYzYZoNMl5qTCEGWAdtGqKP1XpPx1hPO30+CmL5ngWCxKpk1WaA32IHnab603bo6neeQJ2u130rNkfScYQx2cYoQ8Jrr8vomAj6SwIAC3H/GPTSUtlE3pNPZrj06dmIjohRmFGRORuCRNk92Im4XN5X3Lko3LN19DA6YYEmdw4TeRxLBakgJWVlYWsLM/8Ytm8efO///tXv/pVxMSou6iPjY3FggULlK2nUlpaGi655BJvp+FEp9Nh8uTJmDx5srdToSAiHRmYwRHEFKSmXVYqKhYse28fVvzwKoUZBReToBsXIH8oQhSIJs3OEcXX7K1WkkewMNXKzmOJLLQhGlWIIQRpUzJQf3D46QIjMZ1sg2XAgtDwUMWZ+T/JhjMAMGbyHEakSnh0BDKnZaFuv7b70/7OPjQfbQy65zuSbvVG3k8SBbyUAmGxYGWTokzcS9pRK3ceRxAT+RsVnQUDRfmm/aL44ktnsJkKkRdw2xaRkMPhwGuvvQbg9Djcm266ycsZEZE3NB7SPoIYANKLfH+cApE7TBeOIj6+tQI97d2Ksgk+7CxIpF76lEyERmrvsF237yTsdu27cYONtFiQnQWJxiajWHvxi8PuQEtFo8JsAoekyAZgZ0Ei1cSjiHcE1yjigR5Zh2fjBNlLdiLyfakFshGbrcf9pFhQOIKYxYJE/scoLBY0B0ixoMPhwKH3D4rWKOYIYiKvYLEgkdDWrVtRU1MDAPj617+O8PBwL2dERN7QeFjWWTCzeKKiTIj8S+68AkQnae/I67A7UL7pgMKMgou0mw07CxI504fokTUrW3N8f1cfWo/7x6glXyA+j7HQhmhMMopk9ysNws1VgUrcWZDnMCKlcoTFglVBViwo3XzG+0miwBdljEZMcqzmeH8ZQ3xCWCyYN5/FgkT+RrrpIVCKBZuPNqC95pTmeJ1Oh6Kl0xRmRERjxWJBIqFXXnkFwOmxx9ddd52XsyFyH7uNHW5G0ni4ThTPzoIUrPQhepQsnyla4+C7exVlE3zMDcIX1OwEQeTSpNIcUXzNnmoleQSDdnYWJPIISWdBQN6JPVCZWfBM5FPEnQV3BluxoPR+kucwomCQOln7KOK26lZYB60Ks1FvoKcf9QdqNMeHRYUjc1qWwoyIyBMi46NEk0UCZQyxtJFD9tw8xCRpLyonIu1YLEgk0NLSgo8//hgAcM899yA0NNTLGRG5T1drJ168bR0G+wa9nYpPahJ0FgyNCEVSdorCbIj8y/TLSkXx5Rv3s6BZI0k3m+ikGIRGaH8gQhTIJs3OFcWzWHDspGOIE1ksSDQm4mJB4eaqQCXvjspzGJFKGcUTER6tfWpM3f6TsPQHz3Mzk7CzIDefEQUHyShih92BtupWhdmod3J3lei5ZM7cPIQYQhRmRESeoNPpkCC4lpFuuvAV0mLBkks5gpjIW1gsSCTw+uuvw2q1YvLkybjyyiu9nQ6R2217cQv+39W/YcHgWQb7BnGqqkVzfPrUTOhD+CuZglfJshnQ6XWa43vaulG1QzbuI1hJxkbx5TTR8CbNzhHF1+6tUpNIEDDVaS8W1Ol1iM8wKsyGKHClFqRDL3iJyc6CrpkEL4j0IXrEpcUrzIaI9CF6TJqjfdOHzWJD3X7t3aX8jbw7Ku8piYJBaoH2zoIA0FLZpCgT96jaLnsmmTuPI4iJ/FV8pqBYsMEMh8OhMBvPs/QPouKTw6I1ipexWJDIW1iZQCRw4MABxMXF4YEHHoBez39OFBwOf3AQL976jLfT8CnNFY1w2LVf1KcXybp0EPm76MQY5J03WbTGwXf2KcomeNgsVnQ1d2iOZxcIouFlFE+EIcygOb5mT7XfPzD0FElXrvh0I0JCtf/vRBRMDGEGUVeY5oom2Cy+PULOGySFNvEZRm46I3KDnLmyUcRVO4JnFLGk4BngPSVRsEiRFgse8/FiQeEGZhYLEvkv44REzbGDvQPo6+hVmI3nVX56FBZBc5nI+CieA4m8iE+UiATWrVuHnTt34rzzzvN2KkQetXv956g/GDw7pUfTdFjWJSODxYJECkYRs1hwvDoaZbsXEwQPQ4gCnSHMgMzpWZrje9q70V5zSmFGgctUq/0ldQJHEBONi2QUsd1qQ8uxZoXZBAZJoY1xIq/FiNwh91xpsWDwdL03N0jHEPM8RhQMUicHbmdBh8OBE9sqRWuwUIbIfxkzZBsfpNdS3nZIOIK4aOk0jmEn8iIWCxIRkSabfvVPb6fgM6QjtVgsSARMXykrFqzddxJ9nf69E8/TJN24AL7YIRrNpNIcUXzNnmoleQSyvo5e9Hf1aY5PyOJ5jGg8pPctHEU8VF9nL/o7BecwFgsSuUWOsFiwOog6C5rr2jTHRifGICwyTGE2ROSrJN2pAaDluO9uODHVtaOj0aw5PnFSMoyCMaZE5F3xmUZRvLnev4sFy9+XFQsWX8oRxETexGJBIiLSZN/fd8I6yDFSANB4RFgsKOjQQRQoJkzPEr3wdNgdOL5VtpM32JiFI6P4gppoZJNm54ria/ZUKcokcLXXan9BDQAJE9lZkGg8MooniuIbD9UpyiQwSF8MJUzgOYzIHRInJSMuLV5zfEtlE3rauxVm5Lsk5zGOICYKHlHGaMQkx2qO9+XOglXbhV0F57OrIJE/k26m7/DjzoKm+nY0lNWK1ihZxmJBIm9isSAREWky0DOAE8Kb4UAh6ZChN4SId1cSBQKdTiceRXzs0yOKsgkO0s6CLBYkGtmk2Tmi+Jq91UryCGQ8jxF5lnSTU+Nhdhb8Ip7DiHyTTqcTdxc8ueuEomx8l81qQ0eT9m5a7FRPFFxSBM+/26pbfbZpwYntstHzeRxBTOTXpJ1B/XkM8SFhV8H0qZlInJSsKBsi0oLFgkREpNmh9w96OwWvs1msot2NaZPTERJqUJgRkf8qWTFTFH/ss6OKMgkO0m42fLlDNLIJ0ydBH6L9lptjiEdnEnYWTMxiVy6i8UgrzIBOr9Mc33i4QWE2/s8kGN8JAEYWCxK5Tc5cWbFgVRCMIu5sMsNhd2iOT+D9JFFQSZucrjnWYXegrbpVYTbqVH0uKxZkZ0Ei/ybtlCyd/ONN5Zs4gpjI37FYkIiINDv8IYsFW483w2axaY5PL8pUmA2RfytYMEUUX/X5cVgGLIqyCXymeun4Tr7cIRpJWGSYqAtXZ5MZXc2dCjMKPNJiwQQWCxKNS1hkGFLyUjXHNx1pgN1mV5iRfzNLOwtyhCeR2+QKOwtW7wz8YkH55jOew4iCSUq+9mJBAGg55nujiK2DVtTsqdIcHxIagkmlOeoSIiKPi88QFgs2au/S7E12mx2HP5C9H+YIYiLvY7EgERFpdvL/s3ff4XHdVeL/z4x6b1YbybIkS7aae+zEju04iUt6SAGSUJLALmXDLnUX2IVl2falLfwWAgF2F8ISEggkQLpLHKc4jmXHjq1qW7Zk2Rr1avXRzPz+yMOS4jjSPZ/p79d/xD7nnofnySd37j33nIOnZGxwNNBlBJR2OkZ+pW6VFxBOkrNSVI01M1OuiFj3ZIpm9V1cUpzEpyYYrAYIT0UrS1TxXfWs7LyQAeVULpoFgbnLryq0HDsz5ZK+1h6D1YQ2daNNIWcY4CsLLipVxbfubxGv1/rUvVCgXaXOpHogsuQoJguKiGqzj6+cPdourknrHy3PX75AYuJjDVYEwN9iE2IlKTPZcnyoThY8ffCUjA+OWY6PjouRRZdVGqwIgBU0CwIALPN6vHJsd2OgywiozkbdS3yaBYE3K19foYpveZFVxLOleUGdXpgpNpv1NYRApNBOCaBZ8MI0kwXtUXZJy0s3WA0QGbS/X7S/n8LJoPLFULqDqVyAryRlJqsaW871jMhAe5/BioKP9uU2k+qByJJTlquK72npNlSJOa2vnFDFl1xcbqgSAIGUpvhdNuzUfUAWKNoVxOUbKyQ2Mc5QNQCsolkQAKCiHTUd6jqblc2CiilqQDgq26BbRdyyl2bB2fB4PKqXO0yBAGanaGWxKr6rQTfBONxpJtqkOTLEHsUjEWCutL9faBb8M80ZlpqbJtGx0QarAfBWxdpVxLXhvYp4UL2GmN+UQCTJVjcLBt9kwVP7W1TxpZeUGaoEQCClO6x/iDrcOSQet8dgNf7RuEPXLFi9lRXEQDDgyTgAQKVxp+6mMNRpXnbZbDbJXewwWA0Q+srW65oFT+49Jh5P6P3A9rfRvnPidrktxzMFApidwmULVFM4O5ks+I68Xq8MnrHeaJPJCmLAkjztZMGms4YqCX2DilXq6dyLAT5XskbXxNEa5s2CQx3WzzARkfQCpqMCkSQpI1mSsqyv6uwNysmCumbBEpoFgbCQ7rD+28zj9si53hGD1fje2OConFJOVq3aRrMgEAxoFgQAqPS19krvyeD7se4PHo9HupqtT/zJKsmW2IRYgxUBoS9rQbZkKBo4xofGxVnPS+h3M6SYZCPC2jtgtuJTElQr7EY6hiTGw+So8xkfHJPp8SnL8RnzabQBrMir0H3s5GSyoIiITE9My1j/qOV4PtwAfK9EO1nwQLg3C1qfLBgTHyNJmdabhgCEJs1v4/62XnG7ZgxWo3Oud0T1TiQlO1XmleQYrAhAoGjWEIuE3iri5mcbxOvxWo5PL8gUR3WhwYoAWEWzIABArTFCVxEPnO4T18S05fh85VQOIFyVa1cRv8Qq4nczqFhBLCKSUchELmC2tKuI01wpZgoJMwNndNNsMgo4xwAr4pPjJWvBPMvxXU1OpkCL/oWQZnoFgNkpXFYk9pgoy/GnD7aKe8b6NPdgN6T4TZlekKmavg0gNOWUWW8W9Lg90tfWa7AaHe2q+eKLF3IOAmEiQzktWfuc3t8at+u2zVVtWcL5BwQJmgUBAGpNuyKzWbCzSTcVg2ZB4PzK1leo4lteajZUSfhSTxZkZRQwa/NXFKvi01xMXTkf7TnGZEHAuvwq679jpsenZKBd1+wbDga1ZxiTBQGfi4mPldzKfMvx0+NT0qV8bhSsvF6v6hzjDAMik6ZZUESk50SXoUr0tCs4Sy8uN1QJgEDTTxYcMlSJ73m9XmnYoWsWrL5qmaFqAGjRLAgAUDu2u0E87sibDtGpXKGVV6lb4QWEq7L1usmCJ148Jl6v9VH4kWBQsTJKhJc7wFwUrSxRxdMseH7qyYKKlfdApMuv1K0M6mw8a6iS0DV4VnmGcS8G+IVj2XxVfOv+8FxFPD44Jq5Jl+V4Pj4DIlNOWa4qvrfF+tpf01r3t6jiSy4pM1QJgEBLL9D9NtNMa/a3rmanDCqex9nsNqncXGOwIgAaNAsCANTGh8bl9MFTgS7D77qanKp4R5XuJRsQrvKrCiQxI8ly/FDHgPQH0WqSYKR9CKF9CAJEkiImC/qE5uGkiEgmzYKAZZrJgiL631HhgMmCQGhwLFc2C9bqmkmClfr3JKvUgYiUrWwW7A6SyYIet0fVDG6z2aR4danBigAEUrpysuCQU/dRvz81KFcQF69eKEmZPOcEggXNggAAIxqVo6dDkbNJNxEjr4LJgsD52O129XTBlpeOGaomPGle7tijoyQlJ9VgNUB4S8pMlqzibOvx7kSZHJkwWFF4YCoXEDjaZkHthPZwoG0WTOcMA/yiYJnuI8+2A+H5YS0NzwCsyCnXrSHuPRkckwW7mp0yec76b/T86kJJSE00WBGAQErNTROb3WY5PpSaBbXvgau2LjVUCQATaBYEABjRuKs+0CX4ldfrVU3ESC/IlIQ0HgoA76TsUu0q4mZDlYQnzcuddEeG2O38jADmomhlsSq+u7HTTCFhRHOORcVESUpumsFqgMiSX6lrFtR+dBUOtFO5MpjyDPhF1sJscdlmLMc768/I1NikwYqCw1CH7qU2k+qByJSUkayaKNUTJJMFtSuISy9mBTEQTuxRdknLS7ccPxwizYLTE9Ny/PkmVY7qbTQLAsGEt3wAACNO7Tuh+qIu1Ix0DcnE8Ljl+PxKpgoCF1K2gcmCvqR5ucMUCGDuilaUqOK76pnC9VaaNcTpBZk0PQMKCWmJqkaPzsYO8Xq9BisKPZpmwcSMJIlNjDNYDYB3YrPbZSjmnOV4j9sjZw63mSsoSAxq1xAX6Nb1AQhdmumC/W294nZZb+A25dQrJ1TxJTQLAmEnTbGKWHtf5S8tLzaLa2LacnxCWqIUr1losCIAWjwdBwAY4Zlxq78qCSVO5eos7TQOINwtWFUqMfExluO7mp0y1j9qsKLwMTEyrmru5sUOMHfayYKdNAu+idfrVU0WzJifZbAaIDJpVhFPjkyE1KolX1CdYXy4AfiVpllQRKS19qShSoLHEGuIAViUXZZrOdbj9khfW6/BaqzRThYsuYRmQSDcaJ6Xj/WPimvKZbAa32jYrltBXLmlRqKiowxVA8AEmgUBAMY07awLdAl+09Wke2mfR7MgcEHRsdHqL23PHjxtqJrwwsoowP+KVjJZ0KTRvnPimrT+IDVzPucYoKX9+KlT+fFVKHO7ZmSka9hyPE02gH8NxY6o4sOyWdBpvVnQZrdJqmJVH4DQllNmfbKgiEhvS7ehSqyZPDchzvqzluPjUxIYIgCEofR83cf1w51DhirxncYdumbB6q3LDFUCwBSaBQEAxjRGULOg9uWWZhIHECnK1utWEbfXthqqJLxoJtmIiGTQLAjMWWpumqQrVpL0n+yVqbFJgxWFNu05ll7AZEFAS98saP0la6gb7hxSrWHmww3Av7STBdvCsVlQ8QFaam4aU2WACJajmCwoItJzostQJda0HTiluo8rXlMq9ihezQPhRvsbbSjIVxEPnu0XZ4PuN3zVtqWGqgFgCnckAABjupqdMni2P9Bl+EVns1MVzxeEwLsr31Chij9zgGbB89Ge0+lMswEsma9YRez1eOXs0XZzxYS4wTO6c4zJgoCe9uOnSJ4sqP5wo5CGZ8CfpqKmJSUv1XJ8f1uvjPRYnyYajFilDsCqnHLdZMGeAE8WPPXKCVV8ycXlhioBEEzSHLqpycNO3SYgX2vcoRsUk19ZIJnz+R0LBBuaBQEARkXKdEHNJIykrGRJybb+oBmIFKVry8Vmt1mO76x3SpSH29230q4hzijQrVUAIlXRCt0q4vZDbWYKCQMDymbBDB5QAmrqZsEmmgWtotEG8D/Hsvmq+NMHThmqJPCmJ6ZlbGDUcjzTUYHIpl1D3NMS4MmCymmxpZeUGaoEQDDRbuIZVD6v97UG5Qriqq1MFQSCEW9PAQBGNe2qD3QJPjfaf07O9YxYjs+vKjRYDRC+4lMSZP7yBZbjvW6PpLtozH2rIe36TqbZAJYUKSYLioicOdxmpI5woJ8syDkGaCVnpUhKjvX7LGfDWdUKt1CmXTGVzocbgN85luuaBVvDaBWxelK9gzMMiGRJmcmSlJlsOb43gM2CXq/XwGRBmgWBcJSmvL8J5smCHrdHmpRDYlhBDAQnmgUBAEY176oXj8cT6DJ8qks5BSO/wmGoEiD8la3XrSLOmk4zVEn4GHQqX1DzcgewpGilcrIgzYL/Z1DbaMNULsAIzUdQ44Njqg+wQhlriIHQU7C8SBXfdiB8mgW7mpyqeM4wANlluZZj+1p7xe2aMVjN7PW39aruX+eV5rBtCAhT2uflQ8rn9b7UduCkjA+OWY6PiY+RRZdVGqwIgCk0CwIAjDrXOyJnj7QHugyf6lQ+GNWu7AIiSfkGXbNgBs2Cb6OZLJiSkyrRsdEGqwEiR0ZhpiTPS7Ec76w/I64pl8GKQpdmsmB0XAwvaABD8itZRWyFtuGZNcSA/+UvKRCbzWY5vq32ZNhMU+2oP6OK56MNADnl1lcRe9we6T/dZ7Ca2Tv1SosqnhXEQPhKzEiSmPgYy/FDziGD1ZjVsF23grh8Y4XEJsQaqgaASTQLAgCM046kDnadjcrJgsqXakAkKVu/WBWf4UoVt8ttqJrwMNRhfa0BL6cB62w2m2oVsdvlls6Gs+YKCmGaZsGMwkzVy34Af6b9CEr7uypUaT7ciEuOl/jUBIPVAJiNuJR4yau0viVibGBUek92G6wocDobdfejeWzbACJezkLrkwVFRHpOBGYVcat6BXG5oUoABBubzaZaRTyk/KDMlxp36JoFq7ayghgIVjQLAgCMa9oV5s2CzcpmQSYLArOWmpum+uI42hslXQ26aaDhxDXlknO91lempBfQLAhoFK1QriI+1GamkBDm8XhUKzwz5rP6DjDFoW4WjMwGaM00HBqegcApXrNQFd9WGx6riJ0N2g9oaRYEIp3mOZ+ISE9LYJqvW5XnOJMFgfCmeW4+7BwMyinUY4Oj0rpfN1W1etsyQ9UAMI1mQQCAcSdePCbTE9OBLsNnNBMw4lMSaLYB5qh8vW4V8ZnaVkOVhL5hp/WpgiIiGZxfgIpmsqCISPshzrPR3nOqibFMSAXMya8qVMVH4hriieFx1dQIzjAgcEpW65oFtU0mwcA945Yuxdk9rzRH4pLiDVYEIBTllCmbBQMwWdA15ZIzh9ssx0fHxUjhsgXmCgIQdNId6ZZjp8amZPLchMFqzGh+tkG8HutNjOkFmQxPAYIYzYIAAONmplzS8tKxQJfhE5PnJlSr7/IqHUyCAOZo4fpFqvgzB9vMFBIGNNO4RJgsCGgVrVROFlS8nAgXA4r7MBEabQCTUnJSJSkz2XJ8JK4hdiqnKaZzhgEBo54seCD0mwV7T3bLzPSM5XhHta7JHEB40E4W7D3p/2bBM4fbVOdf0cpiiY6NNlgRgGCT7tD9Vhvq0H3kb9rM9Izs/v4zqhzVW5fyPhQIYjQLAgB8onHH0UCX4BNdzbp1pvmVfEUDzFX5BuVkwQNtQTnGPxA0a+9EaLIBtOaV5khCWqLl+LNHTot7xvpUvXCg+WhDRCSTNcSAMTabTfIU6yRHuodltG/EYEXBr1O7vrOC35NAoBQsKZLouBjL8e2H2sTtst5oEgycDbqGZ4dyIi2A8JCUmSyJGUmW4wMxWfDEi82q+JKLWUEMhLt0R4Yqfki5Ecgkr9crD3ziv9VDYaqvWmqoIgC+QLMgAMAnmnbVB7oEn9CuyqJZEJi77IW5kppnfYz/+MCYutE3XHQqX+6kF+geegCRzmazyfwVxZbjXZOuiD/PtM2CGTQLAkZpf9+ceDE8J9K/E3WjTQ2NNkCgRMdGS9HKYsvxM1Mu6ag7Y66gAHDWc4YBMEMzXbCvrc/vzde1D76sii+9pNxQJQCClfa5+VCHbiOQSdu/9bjsu/8FVQ6b3SYVm2sMVQTAF2gWBAD4xNkjp2WkezjQZRinXZWlmbwBRCqbzSblGxarcmi/AA4XHfW6l1M02QB6RYpmQRGR9kOtZgoJUdp16kxIBczKV06Jan42PD8yeyfOBt29GCs8gcAqXq1bRdy6v8VQJYGhXaXOGQbgT3LKci3Hembc6s0Zc3HmtTY5e+S0KkfpJUwWBMJdmnKy4LBzyFAlOocerZXff/nX6jzFaxZKUkaygYoA+ArNggAAnwnHFz/aaT6sXAGsKbtU1yx4cm9kTa15J5pJFtGx0ZJdmmOwGiAyaSbSiLy+wi6S9bToVk7R9AyYpW38OPZco6FKQoNmsmBccrxkFs0zWA2AuSpZo2wWPHDSUCWBoZlUb7PbJK+CD2gBvC6nzPpkQRGRnpZuQ5W8u5eV07XS8tP5HQpEAO0a4sEgmCzYdvCU/OxDPzKSq3orK4iBYEezIADAZxp31QW6BOM6FV9RR8fFSFZxtsFqgMhRtqFCFR9pK+7OZ2J4XAbarX95nVdZIFEx0QYrAiJT0coSVXz74TYzhYQop2JCakxCrCRl8lUzYFLx6lKx2W2W4zubOmTIOWiwouA1Njgqw53Wp0XkVxWIzWb9/2sAesXKZsG22tBtFpyZnpGuY52W47MX5kpMfKzBigCEsmxts+AJ3UdkszUzPSO1D+5V5Vh46SLu4YAIoG0WHO4M7O/iwbP98qMbvyOuiWkj+aq20SwIBDuaBQEAPtO0o068Xm+gyzBmenxKek/1WI7Pq3CIPYr/9AJWFC4tkviUBMvx/W29Mni232BFoUe7grhgyXxDlQCRLXdRvsQmxlmOP3O4TTwej8GKQsf0+JT0nrR+LzavJJuXNIBhielJsmCVrgn62HMNhqoJbpqJXCIiBdXciwGBlr0wVxIzkizHdzU5ZWJk3GBF/tNzoks8M27L8Y4azjAAf5ZbrmsW7FVOnJ+t+qcOy2jfOVWOpdetNFQNgGAWmxgniemJluMD+RHd5Oik/PCG76g+bnujjPlZUrKG9etAsKNjAQDgM0POQels6gh0Gca0H24Tr8d682N+JetWAKvsUXYpXVeuytHyUmRPF3TWK19Q83IHMMIeZZf5yxdYjp8anZReP65cCibOxg7Vhyg0PQO+sfjyalV887OR0SzYobwXy68uMFQJAKtsNptquqDX65X2V1sNVuQ/mjXqIiKOKs4wAH+WXZariu/xU7Pgy7/QrSCOrg/ktQAAIABJREFUS4qTFTevMVQNgGCXXpBpOXaoIzDNgh63R/7nA/fKmddOG8t52Sc2MzgFCAH8WwoA8KmmneGzili7Lia/kgejgEb5elYRa3TUtaviabIBzJm/olgV334oNF8ya2lWEIuIOJjKBfhExZU1qvjm3Q1hNZH+nagbbaoLDVUCQKNktW4Vcf3TRwxV4l/6+zDOMAB/lpyVoprU2uOHD+hGeoal7snXVDlW3nqxxCfHG6oIQLBLU6wiHu4cCsgmkUf+7kE5+vghY/kKlsyXzZ+7xlg+AL5DsyAAwKeadtUHugRj2g7omgVZuQLolG1YrIpveanZUCWhSbuGmDMMMKdoZbEqvv1Qm5E6Qo1+QiovqQFfKLt0kUTHRluOH2jvk75T1leMh4rORpoFgXCgmSwoIrL3Z3tkemLaUDX+49SeYfyeBPAWOYrpgn2tveJWrEafjdoHX1atXxcRWXvnRkPVAAgF6QXWmwU9M24Z7dWtPZ+rF376rOz63lPG8iWmJ8rHHv60xMTFGMsJwHdoFgQA+NTxPY0yMz0T6DKMaFVOFtQ+UAYiXfHqhRIVE2U53ll/VsYGRw1WFDq8Xq901FlvFkxIS5SMQutrFAC8WdHKElV8++HInCzYUa+dkFpkqBIAbxSbGCela8tVOZqeDZ+PzN6JZrJgQlqiaqUVAHO0z3bGBkblwEMvG6rGfzRnmD06SnIX5RusBkA4yCnPsxzrmXHLwOk+g9W83T7lCuKs4mwp36jbkgIgtKTnW28WFBEZcvpvFXHTrjp56J6fG8tnj46Sj//us5K32GEsJwDfolkQAOBTU2NTcmrfiUCXoTbaN6KadpHuyJAMXu4AKrEJsVKsWPnk9Xrl1Muhfx5ZMeQclPHBMcvxBUvmi81mM1gRENkcVQWqKVzth9oiYmXnW2kmC8YkxEpWSbbBagC80eLLq1Xxx55rMFRJcDrXOyLnekYsxzuqC7kXA4JEak6aZBXr7imeu3d7SN3LuSanpedEl+X43PI81b0vgPCUvdB6s6CISLfiXHo3Z15rk7NHTqtyrL1zo9jtvIYHIolmDbGISO9J369YFxHpau6Qn7z3P8XjNrf2+AM/+ohUXKF7LgDAv7hLAQD4XOPOukCXoNZ24JQqnqmCgBll63WriE+8GJmriJ3KFcQFrIwCjIqKiRbHEuv/Xo0Pjkm/j6coBJuxgVHVF9aO6kJe1AA+VHGlsllwd6N4POZeVAQbzUQuEZH8qgJDlQAwYdGmSlX8mddOh9SHtV3HOsXrsd7c6KhhjTqAt9NMFhQR6W3xXbPgyz9/Xp1j7Yc3GKgEQCjJUKwhFhFp8sO71NG+EfnBdd+WieFxYzm3fP5aWf8XlxvLB8A/eFIOAPC5pl2h3yyoXkGsmIYG4M/KN+jWd7S8dMxQJaFFs4JYRMRBsyBgXNGKYlV8+6HIWkXcQdMzENSKVy+UuKQ4y/HnekekU9lQF8y0zYKOahptgGCy4qbV6hzP/XCHgUr8Q3s+51dxhgF4u5yyXFW8ZuLphcxMz8j+B/eqcizaVCXzSnIMVQQgVKQrt4vVP/2aT6dPu6Zcct/N31NtUXurZTeukpu/cbuxfAD8h2ZBAIDPnT54SsYGRwNdhkrbAWWzIJMFASNK15WrVrC1HTgp0xPTBisKDeomG8UENADnV7SyRBXffqjNTCEhQrOCWISJNoCvRcdGS/lG3UcdTc+G7ypibaMNH24AwaXm6uWSMT9LlePV3+6X4U7rU5P9iYZnAL6gnSzY46N1nXVPHpaxft27jHV3bjRUDYBQkldZoHp3MXh2QL0h6J14vV554GP/ZXSYwvwVxfLRB+4RexQtR0Ao4t9cAMCsaG72vB6vHNvdaLAa//J6vdKmnSx4UamhaoDIlpSRrGr4cLvc6ubfUKSfLMjLHcC0opXFqvgzhyNrsiDr1IHgV3FFjSr+2HPh2yzYQaMNEFaioqNk0ye3qHJ4Ztzywk93G6rIt2gWBOALSZnJkpieaDneV5MF9/3iBVV8XFKcrLhljaFqAISS+OR4mb9igSpH3VOvGarmzZ7+9z/KK798yVi+dEeG3PPYFyQuKd5YTgD+RbMgAGBWomOjVfGNO44aqsT/+tt6ZbTvnOX4vAqHJKRZf/AB4M3K1itXEb8YWauIPW6PdDZ2WI7PKMyUpIxkgxUBEBEpWFKk+hjj9KutPl1NEmyYkAoEv8VXVKvijz/fJO4Zt6FqgofX61VNFkzKTJbU3DSDFQEw4dKPbpLouBhVjhd+8qzMTM8Yqsh3NM2C0bHR6lWjAMKTzWZTTRfsa+01fu840j0sdU8eVuVY+d6LJT6Z5hkgUtVcvVwVX/+0+WbBgw+/In/86sPG8sUmxsk9j31BMpRrlwEEFs2CAIBZiY7TNQs27aozVIn/tSqnCpZcXGaoEgAiImXrF6viT7zUbKiS0NDT0iUzUy7L8TTYAL4RmxAr+VUFluPP9YzIcOeQwYqCl9frVU0WTMpMltS8dIMVATifwmVFkpRp/QODyZEJaX81/KamjnQPy9iA9VV2jppC1SorAL6Rkp0qq29bq8ox0jUkh39/wFBFvjE9PiV9p3osx+cuzpeoGN0zRQDhK7vMerOgZ8YtA6f7DFYjUvvgXvG4Paoc6+68zFA1AEKRtlnw5N7jMj40Zqgakdb9LXL/XfcZy2ez2eSjD/yVFK0sMZYTQGDQLAgAmJWo2Gix2a2/oOhr7ZWeFt+sBvA19Qri1QsNVQJARKR8g65Z8NTLJ9QP/kKJegVxNc2CgK9oH6ydPnjKUCXBbcg5KOND45bjabQB/MNut8viy6tUOZqerTdUTfDQrlF3VLG+EwhWm+7Zqs7x3L3bDVTiO51NHapp1qwgBnAhOYpmQREx+r7B6/XKy/c/r8oxryRbypTPLQGEtpKLy1Qf0XncHmnaaWb4Sv/pXvnRe/5DXJPWBwm81U3fuE2Wv2e1sXwAAodmQQDArNjtdllwUakqx45vP2GoGv9qrW1RxRevoVkQMCmjMEuyirMtx0+em5CzR9sNVhTctM2CTBYEfKdoRbEqvjkMm2rOh6ZnIHRUKFcRH3uuwVAlwUOzvlNEJJ9GGyBoFV9UKiWX6LZJnNx7XNoPt5kpyAe0Zxj3YQAuRLumvOeEuWbBM6+dVv/2vOTDG8Vu59U7EMnsUXap2rZUlaPOwCriiZFx+eEN35GR7mF1rj+59CObZOsXrjOWD0BgcccCAJi1ys1LVPEv/fdz0hZiE3DcrhlpP9RmOT46NloKlxaZKwiAiOhXEbe8GDmriDuU02xoFgR8p2hlsSq+YftRM4UEOe1ULs4xwH8WK5sFT+49Lq7JaUPVBAd9ow3NgkAwu9zAdME9P9xhoBLfcDZ0qOId1QWGKgEQjnLKtZMFuw1VIrJPOVVQRGTthzcYqARAqNOuIm54+oh4PNY3I3ncHvnvO+5VN0C/0eLLq+SOH32EzR1AGKFZEAAwa1VbdM2CXq9XHvrUz1U3uf7mbDgrrgnrL6vmryiW6NhogxUBENE3C554KXKaBTVNNvYou+RVOAxWA+CNCpctUD1k6z7eKb2nzL0cCVbaRpuCGhptAH/JXZQv6QWZluNdky45te+EwYoCr7NR22jDGQYEs5W3XiwpOamqHLUP7pXR/nOGKjLL2aB7ycx0VAAXop4saGgN8cz0jOx/cK8qx6JNVTKvJMdIPQBCW/W2parnfSPdw3JGMXn6t59/QOqf0k8n/JPcRfny8d9+hnedQJihWRAAMGula8slLilOlaOt9qS8/DP9V3r+0lp7UhVfvJoVxIAvlG+oUMW3vHRcvF6voWqC1/T4lPQqvrLOKc+TmPhYgxUBeKP4lARxKBvZGiNguqB2QiovqQH/sdlsUnFFlSpH07Phs4rY6/WqzrCUnFRJydY1IQHwrZi4GNn4sStVOVyTLtn7sz1mCjKsU/HRRkx8jGSX6hqBAIS3pKwUSUhLtByveeb1RkefOCRj/aOqHOvu3GikFgChLyU7VYrX6N4NWm32e/6+nbL7+8+orv1GSZnJcs/jX5CkzGRjOQEEB5oFAQCzFh0bLYs26V78iIg8+uWHZGxA9+PbX9q0zYLKHwQAzi+vwiFJWdZ/oI50DUnvyQiYxtXYoWqKZHUn4HvV25ap4ht2hHezoMftUb2kzijMlKQMHmgC/lRxRY0q/thz4dMsONQxIJMjE5bjmSoIhIYNH79S7FG6Vy3P37dLPO7g2sQxeW5C+k/3WY7PqyxQ//8CILzZbDbVKuLeUz3innGr69j3ixdU8XHJ8bLy1jXqOgCED+0q4rqn594s2LD9iPz6b36huu4bRcVEySce+azklucbywkgePBLDQAwJxe97xJ1jrH+UfnjVx42UI3vtR3QNQuW0CwI+ITNZtOvIn4x/FcRd9S1q+ILamgWBHyt+ipds2Dzsw0yMz1jqJrg03uqW1yTLsvxDs4xwO8WX1Gtim+rPSkTI+OGqgks7Rr1/CqaBYFQkFGQKStuXq3K0d/WK3VPHTZUkRmsUQfgD5pVxJ4Ztwy0W29qFnl93ad2XeeqWy+WuKR4VQ4A4aXmGl2zYNv+kzLaNzLrv+9sOCs/ff/3jX588sGf/IUsuqzSWD4AwYVmQQDAnKx63yWSkqNfg/TCT56V06+eMlCR70yOTqpe7iSmJ0q24mEHgAsrX69bRdy8O3ym1ryTjjrd6k4mCwK+t/DSRRKXFGc5fmp0Uk6+fNxgRcHFWa9rtOElNeB/mfOzVBNiPG6PtLx4zGBFgaNtFuTDDSB0bLpnqzrHc/fuMFCJOdozzEHDM4BZyCmzft8ool9FvP9XL6mba9bexQpiAG9WtLJY9S7V6/VKw/bZbRMZ6RmWe6//tmqq/Vtd9cUbZN1dlxnLByD40CwIAJiTmLgYueYfblLn8Xq98tCn7hePJ7hWrLxR+6FW8Xqsr+9csHqh2O38pxbwlbINusmC9U+9ZmRVSTBTv6BeUmSoEgDvJCYuRhZdXqXK0fDMEUPVBB+anoHQVHG5brpg07P1hioJLH3Dc4GhSgD4WvmGCilcqvv91LSzTrqaddP8TFI3C9bQLAjg3Wk/tu8+0WU51uv1ysv361YQzyvNUW8/ARB+7Ha7ehVx/SxWEbsmp+W+m74r/W29qmu90cpb1siN//Y+Y/kABCc6GAAAc3bZJzerH4CKiLTub5F9yh/jvtRWq1tBXLyaFcSALxWtKJbYROvTuMYHx+Tk3vCdxiWia7KJTYyTrJJsg9UAeCfV23SriGf7pXEocjYomwWZygUERMWVumbBY881GqoksJyNyjXETEcFQobNZjMyXXDPj3YZqMYM7X0YE54BzIZmIrWIbrLgmcNt4qzXnXVrP7yRgQEAzkvbLNjwzNELTj71er3yi4/+VE7tO6G6zhstuKhU7v7FJznXgAjAv+UAgDmLio6S2++9y0iuR7/0kIwNjhrJZVrbAV2zYMkamgUBX4qKiZaSS8pUOY489qqhaoLPaN+IjHQNWY53VBfwUADwk5qrdM2CZ4+cluHOQUPVBBfNVC6b3SZ5lUzlAgJh0SbdxNSzR07Lud4RQ9UEhtfrlc5G6xPC0vLTJSkj2WBFAHxtzR3rJDE9UZVj3y9ekMlz5lbIaTgbrJ9hsYlxkrlgnsFqAIQr7RrinhbrkwW1UwVFRC758AZ1DgDhqXJLjdijrD9fHxsYldbalnf88yf++VE58NDLlvO/VUZhptzzx8+rBjQACB28/QMAWFK2vkIu+dB6dZ7RvnPy2Fd/a6Ai8/STBUsNVQLgnWhX3B157FXxeq2vGw9m6tWdNawgBvwle2Gu5ChXLzXuqDNUTfBwTbmk+3in5ficsjyJTYg1WBGA2UrJTpXcqnxVjuN7Qnu64EB7n0yNTlqOdzAZFQg5cUnxsu7uTaock+cmZN//vmimIIXxoTEZ6hiwHM/HZwBmK3leiiSkWW+0ttos6JpySe2Dey1fV0Rk8eVVMq+YrRwAzi8pI1lK1y1S5Wh4+sh5/3nTrjp54uuPqHK/UVxSnNzz2BckLT/DWE4AwY1fawAAy27+5h0Sn5qgzvP8j3fJmdfa9AUZNNI9LP2n+yzHZ8zP4qYa8INlN6xUxfee7JauZqehaoJLh2Ial4iIYwkvqAF/qlKvIj7/w8NQ1tXsvOC6lXfjqGH1HRBIxWt1k9abn20wVElgaCajiog4qjjDgFC06a+2iM1mU+XY88MdAf+ozdnAGnUA/mGz2SRb8fFc36kecc+45xxX9+RhGRvQbTxae+dGVTyA8LdEuYq47unX3vbPpiem5X//4r9Ued/IZrPJRx/8lMxfXmwsJ4DgR7MgAMCytLx0uf6fblXn8Xq88tCn7hePx/rLYNNYQQyEBkfNfMlSfsEbrquIO+raVfEFNNkAfqVdRdy4o07VWBeMnPW6CamOapqegUAqvrRMFd/8XIg3CyobbRw02gAhKXthrtRco3sp3NXslObdgT0D1WcYDc8A5iC33PoqYrfLLYNn+ucc9/L9z1u+pohIXHK8rLxljSoHgPCnvS9sf7VVhruG3vTPdv/nMzLQbn3YyVvd8u07ZNn1q4zlAxAaaBYEAKhc/qmtRtYjnXz5uOz/5UsGKjJDv4KYZkHAH2w2myy7Xjdd8OjjhwxVE1w6lE02BUtYQwz406JNlRIdG205fmxgVE4fPGWwosBTr1NnQioQUEVrSsQj1idj9ZzokgELL36DhbNRO5WrwFAlAPxt0z1b1Tn2/HCHgUqs69Q2C7JKHcAcZC+0PllQ5PX7xrkY7hp6x9Wes7Xq1oslLilelQNA+CtYMl/SCzJVORqe+fN5da53RJ7+xh+1Zf2fDX95hWz+7DXG8gEIHTQLAgBUoqKj5PZ77zKS65EvPijjQ2NGcmm1KicLFjNZEPCbpTfovno7te+EjPQMG6omOHg8HtXqu5TsVEnNTTNYEYB3E5cUL2UbFqty1D8TXquItRNtmJAKBFZcSrwMxYyochwL8GQtDf10VM4wIFRVbV0iOYopWSKvT8DvP91rqKK50zY8c4YBmAvtmdnT0j2nv1/7q73qyfxr72IFMYB3Z7PZpOZq3TaR+jesIn7inx+VyZEJbVkiIlK5uUZuv/cusdlsRvIBCC00CwIA1BZtrJQ1d6xT5znXMyKPf+13BirS8Xq9qsmCNptNFqwqMVgRgAtZtLFCEtISLcd7vV6pe/KwwYoCb+B0n0yNTlqOdzCNCwiI6m26h4cN28OsWVDRaBMdFyPZZboXTgD0+uOG3v0vXUDz7npDlfiXx+ORzian5fiM+VmSkGr9/hZAYNntdtn0V1tUObwerzx/3y5DFc2d5uOz+NQEySjUTdABEFlylL/d5jJZ0OPxyN6f71Fdb15pjpRvqFDlABA5lihXETfuqBO3a0a6jjnlhZ88a6SmvAqHfOzhT0tUjPUtJwBCG82CAAAjbvnWByQuWT92/7kf7pCzR9sNVGRdT0uXjA9an3CYX10o8SkJBisCcCFRMdHqr/PCbRWxegUxK6OAgKi+SneWtdWelLGBUUPVBNbEyLj0n+6zHJ9f6ZCo6CiDFQGwoi9W2yzYKF6v9VXGgdLf2iuuiWnL8UzkAkLf2js3SlxSnCrHS//znEwrzhKrRvvPyUi39en7jupCJtQAmBP1ZMGTs28WPPr4Iels7FBdb92dGznnAMxaxZU1EhVj/RnVxPC4nNx3Qn7/5V+LZ8atricpK1k+9fjfSmJ6kjoXgNBFsyAAwIh0R4Zc/7Vb1Hm8Hq889KmfB/SFkGaqoIhIyWpWEAP+tvR63Srixh114pr0/0sYX+moo1kQCEWO6kJJL7A+hcXr8UrTrtCcwvVW2hXEDs4xICgMxg5LdJz1SQVDHQPSfbzTYEX+oT7DqmgWBEJdYnqSXPzB9aocY/2jcvA3+wxVNHucYQD8LXleisSnWv/4fraTBb1erzz5L49avs6fXPLhDeocACJHfEqClG/UTSN9/Gu/k9f+cFBdS3RstPzV7z8n2Qtz1bkAhDaaBQEAxlzxN9skv6pAnaflpWOy/1d7DVRkjbZZsHgNzYKAv1VftVTsiglS0+NT0ry7wWBFgaVZ3SkiUsAaYiAgbDabVG9bqsrR8Ex4rCLWrL4TYSoXECw8Nq8UXlSsynEsBO/RtFOeHTWcYUA42HTPVnWO5364w0Alc6O9D8vnPgzAHNlsNtV0wb5TPeJxe97179U/9Zq0H2qzfB0RkcVXVEvWgmxVDgCRp+Zq3Sri4883GanjQ//9MSlbzxp1ADQLAgAMioqJltvvvdtIrkf+9lcyMTxuJNdctR6gWRAINUkZyVK+YbEqx9HHwmcVsXayIC93gMBRNwtuPxKSKzvfSj0hlaZnIGgUr9P9PgrFDzo6G2l4BvD6xPbFl1epcrS/2ipdx5yGKpod9WRBzjAAFuSUWZ9y5Xa5ZaC974J/x+v1yhMGpgquu3OjOgeAyLPkGl2zoAmbP3uNXKKcfA0gfNAsCAAwavGmKll921p1npHuYXnmG48ZqGhuZqZn5Mzh05bjY+JjpIApEEBAaFcRH33ikHg87/4VcrCbmZ6RrmPW1/XNK82R+OR4gxUBmIuKzTVis9ssxw93Dqkb7YKBs4F16kC4KLm0TBV/7LnGkLtHczZ0qOLzKvUT+wEEBxPTBf09OVrb8MxzMQBW5JRZnywoItLT0n3BP2/ccVS9USguOV5W3LxalQNAZMpd7JB5JYGbSpqSkyrX/9MtAbs+gOBDsyAAwLhbvv0BiTPQaLLnvp0yMeLf6YIdde0yM+WyHF+0skSiYqINVgRgtpZdv1IVP+QcVK8iCQbdx5zimXFbjqfBBgispIxkKb2kXJUjHFYRa9bfxackSMb8LIPVANDIX1Ig8akJluPHBkbl7JF2gxX5lnvGLV3N1qeAZRVn8+EGEEaW3bBKMgozVTmadtUbqubdeb1e1Sr1xIwkSc1LN1gRgEihbRY8/GjtO/6Z1+uVJ/5ZP1Vw9fvXSlwS92kA5s5ms6lXEWtc/0+3SnyK9d/lAMIPzYIAAOMyCjLl2q/epM4zOTIhr/3+oIGKZk/7dWHxalYQA4GSvTBXve7o6GOvGqomcLQTxRw0CwIBp15FvOOooUoCY6RnWM71jliOd9QUis1mfTojALPs0VGy6LJKVY5jIbSKuPdkt+oDNAcTuYCwEhUdJRs/sVmV4/ieRpmZnjFU0YWd6xmRsf5Ry/GOau7DAFiTU65rFnzxp7ultbblvH/WvLtBTu07ocpvs9nkys9ercoBILLVBGgVcV6FQ9b/xeUBuTaA4EWzIADAJ6789NWSV+FQ56l9aK+Bamav9YCyWXANzYJAIC1VThc88vghQ5UEjrZZsGAJzYJAoFVftUwV3/Jis0yOThqqxv/U5xhNz0DQWXx5tSq+ebf/pmppORt06zsdVTQLAuFmw19eIdGx1rdQTI1NqZtcZkt9hik/4AMQubLLclXxXq9XfvXJn4n7PNs2nvwX/VTBle+9mPs0ACqLN1VJTHyM36978zdvl6joKL9fF0Bwo1kQAOAT0bHRctsP7lLnadpVLyPdw/qCZkk7WbCEZkEgoJbdsEoVf/bIaek/3WuomsDQrIwSoVkQCAZFq0okeV6K5Xi3yy3HngudKVxv5VSeY0xIBYJP5ZW6ZsETLzSL2+WfqVpanTTaAHiLlOxUqbl2hSpH4846Q9VcmPo+jDMMgEUp2akSn6pbkXnmcJs8/6Odb/pnx59vkhMvNKvyiohc+w/vUecAENliE+Nk8eVVfr3mok1VsvQ63YAFAOGJZkEAgM9UXlkjq957sSqH1+OVgw+/YqiiC5sYGZeuJqfl+KTMZJlXmmOwIgBzVbxmoaTkpKpyHA3x6YKalzvRsdGSq1z7AkDPbrdL5ZYlqhwNz4TuKmJnva7RpoAVnkDQya8ulJRs6/doU2NT0qr8sMtfnI3KZkEanoGwVKW8t2va6Z97OyYLAggUm80mC1aVqPP88au/lSHn4P/97ycMTBVccfNqKVhSpM4DADVX+3cV8a3fvkNsNptfrwkgNNAsCADwqVu/80GJTYxT5fDXKuL2V1vF6/Vaji9es5CbbiDA7Ha7+ku5UF5FPDEyLv2n+yzH51U4JCrG+nosAOZUb1uqim945jXVfU0gaSek0mgDBB+73S6Lr9BNUDi2OzQmpmoanm12m+RVOAxWAyBYVG3VNQuePtgqYwOjhqp5ZzQ8Awikqq2638EiIpPnJuThz/1SRERa9h4zcg957VduUucAABGRmmv81yx48QfXy4JVpX67HoDQQrMgAMCnMudnyVVfukGVo/WVFuk91W2oogtcRzmpong1K4iBYKBdRXx8T6NMjIwbqsa/tNO4HKwgBoKG9iVJX2uv9LR0GarGfzwej2qiTWpummp6GQDfWXy5bhVxcwg0C7pdM9J9vNNyfHZpjsQmxBqsCECwyC7NVW2j8Hq9Pj8HvV6v6jdlSnYq92EAVDb85RUSn6JbRSwi8urDr0jD9iPy5L/+Xp1r2Q2rZP7yYnUeABB5/Z4wd3G+z68THRcj7/nX9/n8OgBCF82CAACfW//RTWKz6ybuHXhon6Fq3lnbAV2zYMkamgWBYFC5uUZi4mMsx7tdbmncHprrOzvqdNO4CpgCAQSNtLx0yavWTZcKxbNsoL1fpkYnLcc7WEEMBK3KK2tU8af2nZDp8SlD1fhG94kucbvcluPzWd8JhLWqzbrpgo07fHtvN+QclIlh6x/OcYYB0ErKTJZrvvIeI7l+fud9Rn4TX8NUQQCG+WMV8ebPXC2ZRfN8fh0AoYtmQQCAz6XlZ0jFFbopErUP7vX5Kr025WTBBasZ5w0Eg9jEOKnconsJE6qriDvq2lXxBUwWBIJK6abFqviGEGwWVJ9jNUWGKgFg2rzSHNXLipnpGWnZe9xgReappzxXcy8GhLNcCiJ8AAAgAElEQVRK5Sripl31Pn021qmY7iwi4qgqMFQJgEi2+TNXG1lpfq5nRJ2j5prlUnwRz/wBmLXEx6uIk+elqDe+AQh/NAsCAPxi9e3rVPGdTR1y9qju5fGFDDkHZfDsgOX4rOJsSc1JM1gRAI1l1+tWEdc9eVjcM9anwgSKZnWnCJMFgWCz8LJFqvhjzzWKa3LaUDX+oW60YbIgELRsNpv6I7JXf/uKoWp8Q3sv5mAqFxDWKq6oVm3e6G/rld6T3QYrerOOet2kehPNPQAQFRMtH/jR3YEuQ0RErmWqIAAfKNtQIXFJcT7Lf90/3iwJaYk+yw8gPNAsCADwi5U3r5HoOOtrQUVEDjz0sqFq3k67griYFcRAUFly3QpV/PjgmJwM8sk1b+X1elVriBPSEiVjfpbBigBoFa5cIC7bjOX46fEpaXnpmMGKfM/ZwDp1IJwtVjYLvvzz58XZqGvI86VOZW00CwLhLTE9Sf38qHFHnaFq3q6zoUMVzxkGwJSy9RVy6d2bAlpD1dYlUnpJeUBrABCeYuJipOLKGp/kzinPk40fv9InuQGEF5oFAQB+kZCWKEuu1Y3WPvDrfeLxeAxV9GbaFcQlq2kWBIJJWl66FKzQNYwceexVQ9X4x3DnkIwNjFqOd9QUis1mfcoFAPOiYqKkP3ZIlaPhmdBaRaxpehYRyeclNRDUtJMFPW6P/O4LvzJUjXmayYL2KLvkLs43WA2AYFS1WbuK2HfNgtpmbJoFAZh08zdvk6Ss5IBd/9qv3hywawMIfzVX+2YV8S3fvF2iYqJ9khtAeKFZEADgN2tuv1QVP9DeJ6de9s2kr9baFlU8kwWB4FO+uUoVf+SxV8Xr9Rqqxvc66nSr2pnGBQSnnrgBVXzD9iOGKvE9t2tGupqdluPnlWRLfHK8wYoAmJbuyJC8CocqR8MzR6T+meA721xTLuk50WU5Pqc8T2KU0/gBBL/KLbpmwebdDeKecRuq5s+8Xq+q4TktP12SMgPX1AMg/CTPS5VbvnlHQK69+IpqKbt0cUCuDSAy1Fy9zHjOsg0VsuzGi4znBRCeaBYEAPhNzTXLJT41QZWj9kHzq4g9Ho+0HThlOd4eZZeilcXmCgJgxKItumbB3pPdqqYVf9NO4ypYUmSoEgAm9SqbBZ0NZ2XwbL+hanyr+0SXuF3WX347aHoGQoJ2uqCIyO++8IBPmmU0uo91isdtfRI+E7mAyFB6SZnEKT5umByZUG/HOJ+B9j6ZGp20HM8ZBsAX1t61UcrW+79p7zqmCgLwscyiecafY9367TvYHARg1mgWBAD4TWxCrKy4ebUqx8HfviJu14yhil7Xc7xTJkcmLMc7auZLXBJTbIBgk70oV8airP+7LRJaq4g1UyBEXl9DDCD4TERPSdbCbFWOhu2hsYpY3fRMsyAQEpZev1Kdo7OxQ1786W4D1ZijvRfLr+JeDIgEUTHRsvhy3YdtjTvNryLmDAMQjOx2u9zxo4+IPTrKb9cs31ghiy6r9Nv1AEQuk6uIV9++TkrWlBnLByD80SwIAPCrNbetU8WP9Y8afyjaqvwiu3h1qaFKAJhks9mkO043Tevo44cMVeN76jXES2iyAYLVwk26SQqhsorYWa9rFmSyIBAaKrcskaxiXRO0iMhjX/utjA+NGajIDPWHG0zlAiJG5WbdKuKmXcHXLMhHGwB8paBmvmz+7DV+u961TBUE4CdLrjHTLBgdGy3v+bf3G8kFIHLQLAgA8KvFV1RLSk6qKkftQ2ZXEWvXt/C1DhC8uuN1zYKn9p2QkZ5hQ9X4jsftkc7GDsvx6QWZkpSRbLAiACYt3LhIFd+0sz7o1nWej/4lNY02QCiw2+2y7W+vU+cZ6x+Vp/71DwYqMsPZoG145gwDIkXVVl2zYOsrLTIxPG6omtepJwtWFxiqBADe7rp/vEkyi+b5/DoL1y2SiiuqfX4dABARWbiuXOJTE9R5Lv/rbTLPwAd5ACILzYIAAL+Kio6Si963VpXjyB8OytTYpKGKRNoOKCcLrlloqBIApg3EDktcqvU14V6vV+qePGywIt/oaekS16TLcjxTBYHgVnRJqcTEx1iOnxgel9b9LQYr8g3NGmJ7dJTkLnYYrAaAL63/yyskv0rfWLL7B89IT0uXgYr0OhWNNlExUZJbnmewGgDBLHdRvmTMz7Ic73F75NieRoMVGZiOyhpiAD4UlxQvt33/Tp9f59qv3iQ2m83n1wEAEZGomGj1RyRJmcly9d/faKgiAJGEZkEAgN+tuUO3inhqbMrYalDXlEvOvHbacnxsYpyRl1wAfMNr86rXdx59IvibBZ31rL0DwllMfIyUX1apytHwTHCvIp4am5S+Uz2W4/MW50t0bLTBigD4UlR0lNz6nQ+q87hdbnnkiw8ZqEhnemJaek9aP8NyF+VLVAxnGBApbDabVGlXEe80t4rY49FNqs8ozJSEtERj9QDA+Sy7YZUsu2GVz/IXr1koVVuX+iw/AJxPzdW6VcTXfvUmNgYBsIRmQQCA35VcXCbzSnQjsU2tIj575LS4XdbX8hWtKpGo6CgjtQDwjUWbq1TxjduPimty2lA1vtFR166KZ7IgEPyqty1TxTdsP2qoEt/obHKK1+u1HM/6TiD01Fy1TKqv0p1tIiKv/f6A8Qlbc9XVrDvD8vlwA4g4lcopMo0GmwX7W3vFNWH9N6+jht+TAPzj/f/5YYlNjPNJ7uu+ejNTBQH43bIbVklckrVzLXthrlz2yS2GKwIQKWgWBAD4nc1mk9W3X6rKUf/0ERntP6eupa1Wt4K4ZDUriIFgt3DTIrErmnqnx6ekeXeDwYrM66i3vrpTRKRgSZGhSgD4Ss1VugkH7a+2yrneEUPVmOfUnmM1nGNAKLr1Ox8Qe5T+8eRvP/+AeNweAxVZoz7DaBYEIk7lldWqppSeE13Sf7rXSC2sIAYQKrIWZMt1/3iz8bxFK4ul5hrddC8AsCI5K0U2fnyzpdibv3E7WzYAWEazIAAgILSriD0zbjn0SK26jrYDumbB4jU0CwLBLiEtUco3VqhyHH3MzOpzX+mos/6C2h5ll/xKh8FqAPhC7mKHZC2YZzne6/UaXVdnmuYcE2GyIBCqHFWFsuFjV6rznDncJvv+9wUDFVmjbbRhsiAQeZLnpcr8FQtUOZp21hupRX+GFRipAwBmY/NnrxaH4Xuna5kqCCCAtnz+GknJTp1TzPq/uFxW3rLGRxUBiAQ0CwIAAsJRVSiFy3QPRQ8YWEXcqpwsSLMgEBqWXb9SFX/0iUPi8QRuWs2FTI9PSW9Lt+X4nPI8iYmPNVgRAF+w2WxStVU3XfDok4cNVWOes0E7WZD1d0CouuHrt0hCWqI6zx/+4WGZHJ00UNHcORuVU7loFgQiUtUW3b1d486jRurgPgxAKImKiZYP3PcRY/kKly2QZTesMpYPAOYqLT9DPrf7K7NuGFy4bpHc9oO7fFsUgLBHsyAAIGDW3K6bLnjihWYZPNtvOX58aEy6j3Vajk/JTlVN+AHgP0uVzYJDzkFpP9RmphjDOps6xOv1Wo5nGhcQOqqvWqaKf/XhV9Rry33FWW+90SY2MU6ySrINVgPAn5Lnpcq1X7lJnWeka0i2f/MxAxXNneYMi46NluyFuQarARAqKrcsUcU3P9tgZAW7s6FDFZ9XyWRBAP5Vtr5CLr17k5Fc137lJqYKAgg4R3WhfH7PV6Vq2zt/TBIdFyM3fP1W+eyz/yAxcTF+rA5AOKJZEAAQMKtvW6uK93q9cvA3r1iOP33wlOr6xWsW8iABCBHZpbniUE47OPrYq4aqMUu7urOgpshQJQB8reKKarFHR1mO97g98ptP/0LVYOwLYwOjMuQctBzvqC4Qu53HG0Ao2/SprUYa5nb+x5My0N5noKLZmxydlP62XsvxeZUFEqU42wGEroWXLpKYBOtT3scGRqX9cJuqBveMW7qanZbjs4qzJT45XlUDAFhx8zdvk6TMZFUOR3WhLL/pIkMVAYBOfmWBfPrpL8mXa/9VrvzM1bLyljVSurZc1tyxTm77wV3y9cZvy7VfvZlGQQBG8DQdABAwmUXzpGxDhSpH7UN7Lcc27qxXXbt4NSuIgVCiXUV86NHaoFxFrG4WXMLKKCBUJKQlysJ15aocx55rlEOP1BqqyAzttENHNecYEOpi4mLklm/doc7jmnTJ7//+1wYqmr2uJt1ELkc1E7mASBUTFyOLLqtU5WjcoVtF3HuyW2amXJbjmVQPIFCS56Wq7x+v+cpNfHgGIOgUX1Qq7/vuh+Tjv/2MfHHv1+WjD3xKLr9nq8wryQl0aQDCCHdAAICA0q4ibj/UJl3Nc385M+QclD0/3KG6dvEamgWBULLshlWq+M7GDtn9/e2GqjFH22RDsyAQWqq36VYRi4j87gu/kunxKQPVmKFZ3ynCS2ogXCx/z0XqphkRkdoHX5bW/S0GKpodZ4PuDMuv4gwDIlnl5hpVfNMu3Yew2jPMwRkGIIDW3rVRFl66yFJs7uJ8WXXrxYYrAgAACA00CwIAAmrVrWtU6/RERGof2jfnmMe/9jv1S/Li1aWqeAD+tWB1qaTmpqly/OHvfy1dx6yvaPIFzWTBmIRYmVfKF4lAKKm+St8sONDeJ8984zED1ZjRUdeuii9Ywjp1IBzYbDZ573c/JDabTZ3r4c/90m8r19UNz9U02gCRrGrrUlX8yb3HZGps0nJ8p7ZZkDMMQADZ7Xb5wH0flWgLKzlvv/dusUfxmhwAAEQm7oIAAAGVPC9VqrYuUeU48NDeOb0I6qg/I3t/vkd1zeyFuZKclaLKAcC/7Ha7LL1Ot4rYNemS++/+sXjcwbGOeLRvREa6hizHO6oLWbcChJj5yxcYeSm7/dtPSF9rj4GK9LQTbQqYLAiEjaIVxbLursvUeU7tOyEHfzP3j8qscDZqzzCmPAORzFFdKGn56Zbj3S63HH++yXJ828FTlmNFaBYEEHgFNfPlrvs/MaeYKz99tVReqZvsCgAAEMp4MwgACDjtKuKelm45PYeHm49+8UHxenRTJlhBDISmpTfomgVFRFpfaZGd333SQDV6HcpJNrycBkKPzWaTyz+1TZ1nZsolv/38AwYq0vF6veJUrFNPykyW1DzrL9gBBJ8b//W9EpcUp87z6Jd+LdMT0wYqujBNw3NMQqxklWQbrAZAqLHZbPpVxDutrSLuPt4pdU8ctnxdm80meZUFluMBwJTV718rt997t8TEv/uEwau/fKPc+p0P+KEqAACA4EWzIAAg4JbdeJHEJMSqctQ++PKs/l7Trjqpf/qI6loiIitvXqPOAcD/Kq+sUZ83IiKP/ePv1FNkTNCsIBYRKVhCsyAQitbdfZnkLs5X53ntDwelccdRAxVZN9QxIOND45bjC5bMN7KyFEDwSMvPkKu+dKM6z0B7n+z63lMGKnpnEyPjMnim33J8fqWDKc8ApHKLbhVx0646S3Hbv/W4amV79sIciTXw+xoATNj0V1vka3XfkuU3rX7bsz+b3SY1Vy+TTz/zJXnPv72f9cMAACDicTcEAAi4+OR4WX7jKlWOA7/Z965rQT0ejzzydw+qriMikpiRJEuuW6HOA8D/YhPj1OeNyOsTue6/68finnEbqMq6jrp2VTzNgkBoio6Nltv+804juX796V/IzPSMkVxWaCeksvoOCE+bP3eNZBbNU+fZ/q3HZWxw1EBF56ddo+5gyjMAEfVkQWfDWRnsGJhTzMCZfnnlly+qrpvPfRiAIJO9MFc++chn5XsD/yWf3/NV+esn/06+8Pw/yjfP/lD++skvStVWXXM2AABAuKBZEAAQFFYrVxGPdA3JsT2NF/w7+x94Sc68dlp1HRGRzZ+9RmLi3n2lAYDgtO3vrjeS5/TBU7L9W48byWUVL6iByFW1daksf89F6jzdxzrluR9sN1CRNZoVxCKcY0C4ik2IlZv+323qPJMjE/LiT3cbqOj8Oo4qz7AqGm0AiKTlpas/5GreNbdVxDv/40lxu3Qfv5VeXK6KBwBfiYmLkUUbK6Xm6uVSvqFC0vLSA10SAABAUKFZEAAQFKq3LZPEjCRVjgMXWEU8PTEtf/zKw6r8IiLpjgzZ8rlr1HkABM785cWy8hYzq8Sf+Poj6ul+Vk2NTcrZI9avnTwvRVJz0wxWBMDf3vsfH5RoAx8wPPHPj8pw56CBiuauQ9ksyIRUIHytvm2tlFxSps7z3A+2+2yCau1De1XxTEcF8CdVylXEjXNYRXyud0Re/C99I/Xym/QfrgAAAAAA/I9mQQBAUIiOjZZVt16synHo0VpxTU6f98+e/f+elsGzc1vJcj43/Mt7JTYxTp0HQGDdfu/dkpSVrM7jdrnl53f9WNwu/6/wPPLHV2V6fMpyfMGS+WKz2QxWBMDf5pXkyLa/vU6dZ/LchPz+739joKK5U08WpNEGCFs2m03e990PqfMMOQflwK/f+cMyqzrqz8iJF5pVOVjhCeBPKrfoVhE37awTj8czq7/77H8+I66J8z8/m60FF5VK3mKHKgcAAAAAIDBoFgQABI01d1yqip8YHpeHP/tL8bjf/HD0XO+IPPONx1S5RUQKlxbJ2g9vVOcBEHipuWly+713G8l15nCbPPXvfzSSay72P6ibZFPA6k4gLFz1pRsks2ieOs++X7wgJ/cdN1DR7HncHuls7LAcn1GYKYnpusnUAIJb6SXlsvr2deo8u777lHi9XgMV/dnz9+1Sxcclx0tmUZahagCEuvINFRIdG205/lzPiHTUvftHGBPD47LnhzssX+dPrv7yjeocAAAAAIDAoFkQABA0yjYslvSCTFWOF37yrPzPB+9905qpJ/75UZk8N6EtT2751h1ij+I/nUC4WP3+tbLqvbqJpn/y1L/9QdoPtxnJNRsjPcPSuP2oKkfB0iJD1QAIpNjEOLn1Ox8wkuvXf/OLt3104UtdzU5xTbosx7OCGIgMN/+/2yQmXrdy/ezRdmnaVW+ootcnsr7yyxdVORZcVCp2O78vAbwuNjFOyjYsVuVo2vnuq4ifv2+XTAyPq66TX1kgy25cpcoBAAAAAAgcnkgBAIKG3W6X1betVec5+JtX5N7rvy2To5PSfbxTXvjJs+qcVVuXSNXWpeo8AILL7ffeLSnZqeo8nhm33H/XfeKast70MhcHf/OKuqFn8aYqQ9UACLSVt6yRxZfr/51uf7VV9v5sj76gWdr/wEuqeEc1zYJAJMgsmiebP3etOs/O7z5poJrX7X/gJZkanVTlqLl6maFqAISLys1LVPGN79IsOD0+Jbu+95TqGiKvT7am2RkAAAAAQhe/6AAAQUW7ivhPmnbWyfc2/5v85jP/K54ZtyqXzWaTW75lZmIPgOCSkp0qd/zoI0ZyddSdkSf/5fdGcr2b/b/SNdgULi2S7IW5hqoBEGg2m01u+/5dRiYg/+EffiNjg6MGqrqwmekZ2fvzPaocjppCM8UACHpXffF6SczQrR1v3H5UOura1bV4vV7Zo1xBbI+yyxoD65UBhJeqLbpmwZYXm8U1Of2Of773Z3vkXO+I6hpZxdlGPvQFAAAAAAQOzYIAgKAyf/kCyatwGMnVVntSGp45os6z9s6NUsi6TiB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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4.356\n" + ] + } + ], + "source": [ + "fig, ax = rick.charts.tow_chart(data = count_18['count'], ylab='Trips')" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 168, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "importlib.reload(rick)" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "period_uid 10.0\n", + "count 13068.4\n", + "hr 23.0\n", + "dow 7.0\n", + "dtype: float64" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "count_18.max()" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/charts/rick.py b/charts/rick.py index 33949e8..972274c 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -129,7 +129,19 @@ def chloro_map(con, df, lower, upper, title, **kwargs): return fig, ax - def line_chart(data, ymin, ymax, yinc, ylab, xlab, **kwargs): + def line_chart(data, ylab, xlab, **kwargs): + + ymax = kwargs.get('ymax', int(data.max())) + ymin = kwargs.get('ymin', 0) + + delta = (ymax - ymin)/4 + i = 0 + while True: + delta /= 10 + i += 1 + if delta < 10: + break + yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i))) fig, ax =plt.subplots() ax.plot(data ,linewidth=3, color = colour.purple) @@ -149,26 +161,37 @@ def line_chart(data, ymin, ymax, yinc, ylab, xlab, **kwargs): 'Jan\n2018', 'May', 'Sept', 'Jan\n2019','May',] plt.xticks(fontsize=9, fontname = 'Libre Franklin') - plt.yticks(range(ymin, ymax+yinc,yinc),fontsize=9, fontname = 'Libre Franklin') + plt.yticks(range(ymin,int(4.1*yinc), yinc), fontsize =9, fontname = 'Libre Franklin') props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple, linewidth = 2, facecolor = 'w', alpha=1) - ax.set_ylim([ymin,ymax]) + ax.set_ylim([ymin,int(4*yinc+ymin)]) fig.patch.set_facecolor('w') return fig, ax - def tow_chart(data, ymin, ymax, yinc, ylab, **kwargs): - + def tow_chart(data, ylab, **kwargs): + + ymax = kwargs.get('ymax', int(data.max())) + ymin = kwargs.get('ymin', 0) + + delta = (ymax - ymin)/3 + i = 0 + while True: + delta /= 10 + i += 1 + if delta < 10: + break + yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i))) fig, ax =plt.subplots() - ax.plot(data, linewidth = 2.5, color = purple) + ax.plot(data, linewidth = 2.5, color = colour.purple) plt.grid() ax.set_facecolor('xkcd:white') plt.xlabel('Time of week', fontname = 'Libre Franklin', fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold') - ax.set_ylim([0,15000]) + ax.set_ylim([ymin,int(3*yinc+ymin)]) ax.grid(color='k', linestyle='-', linewidth=0.2) plt.ylabel(ylab, fontname = 'Libre Franklin', fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold') @@ -176,7 +199,7 @@ def tow_chart(data, ymin, ymax, yinc, ylab, **kwargs): ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) - plt.yticks(range(ymin,ymax,yinc), fontsize =9) + plt.yticks(range(ymin,int(3.1*yinc), yinc), fontsize =9, fontname = 'Libre Franklin') ax.set_xticks(range(0,180,12)) ax.set_xticklabels(['0','12','0','12', @@ -187,13 +210,14 @@ def tow_chart(data, ymin, ymax, yinc, ylab, **kwargs): ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['Monday','Tuesday', 'Wednesday','Thursday', 'Friday','Saturday','Sunday'])) - plt.yticks( fontname = 'Libre Franklin', fontsize=9) ax.tick_params(axis='x', which='minor', colors = 'k', labelsize=9, pad =14) - props = dict(boxstyle='round, pad=0.3',edgecolor=purple, linewidth = 1.5, facecolor = 'w', alpha=1) + props = dict(boxstyle='round, pad=0.3',edgecolor=colour.purple, linewidth = 1.5, facecolor = 'w', alpha=1) ax.set_xlim([0,167]) plt.show() + print(delta) + return fig, ax From c55417098261766032c1bcb660ed713503412b55 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Mon, 8 Jul 2019 17:02:26 -0400 Subject: [PATCH 15/31] updated readnme --- charts/README.md | 40 ++++++++++++++++++++++++++++++++-------- charts/module_test.ipynb | 33 ++++++++++++++++----------------- charts/rick.py | 6 +----- 3 files changed, 49 insertions(+), 30 deletions(-) diff --git a/charts/README.md b/charts/README.md index 385c5d0..5bcb3cc 100644 --- a/charts/README.md +++ b/charts/README.md @@ -2,7 +2,7 @@ ## Regular Information Charts Kit -This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. +This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib `fig` and `ax` object so that the figure can be furthere modified using matplotlib functions. ### `geo.ttc(con)` @@ -14,7 +14,7 @@ Returns a geopandas dataframe of the Toronto Island. ### `charts.chloro_map(con, df, lower, upper, title, **kwargs)` -This function creates a chloropleth map. It returns a matplotlib `fig` and `ax` object so that the map can continued be annotated and modified. +This function creates a chloropleth map. The following arguments must be passed in order for the function to run. @@ -36,9 +36,9 @@ cmap|str|`YlOrRd`|String to specify colourmap for the map. unit|str|`None`|Specifies if a unit should be added to the legend box. The automatic placement of the unit only works if the upper or lower are whole numbers. nbins|int|`2`|Number of ticks in the colourmap -### `charts.line_chart(data, ymin, ymax, yinc, ylab, xlab, **kwargs)` +### `charts.line_chart(data, ylab, xlab, **kwargs)` -Returns matplotlib `fig` and `ax` object. The xaxis is not formatted by this function and requires further manipulation with matplotlib. In addition, annotation boxes must be added on manually with a something like this: +Produces a simple line chart. The xaxis is not formatted by this function and requires further manipulation with matplotlib. In addition, annotation boxes must be added on manually with a something like this: ```python fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', @@ -52,8 +52,32 @@ The following arguments must be passed in order for the function to run. |argument|variable type|description| |-----|-----|-----| data|Series or list|Data for the chart -ymin|int|Lower bound for the yaxis -ymax|int|Upper bound for the yaxis -yinc|int|Interval for the yaxis ticks ylab|str|Label for the yaxis -xlab|str|Label for the xaxis \ No newline at end of file +xlab|str|Label for the xaxis + +Additionally, there are optional arguments that can be passed to the function + +|argument|variable type|default|description| +|-----|-----|-----|-----| +ymin|int|0|Lower bound for the yaxis +ymax|int|The maximum value of the dataset|Upper bound for the yaxis +yinc|int|One-third of the range of the data|Interval for the yaxis ticks + +### `charts.tow_chart(data, ylab, **kwargs)` + +Produces a 7-Day time of week chart that shows data points for each hour during one week. The xaxis is fixed to the 168 hours that produces the week, and the data must be ordered so that the first entry represents Monday at midnight. + +The following arguments must be passed in order for the function to run. + +|argument|variable type|description| +|-----|-----|-----| +data|Series or list|Data for the chart +ylab|str|Label for the yaxis + +Additionally, there are optional arguments that can be passed to the function + +|argument|variable type|default|description| +|-----|-----|-----|-----| +ymin|int|0|Lower bound for the yaxis +ymax|int|The maximum value of the dataset|Upper bound for the yaxis +yinc|int|One-third of the range of the data|Interval for the yaxis ticks \ No newline at end of file diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index f8ae133..d67e131 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -148,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 173, "metadata": {}, "outputs": [ { @@ -198,19 +198,18 @@ }, { "cell_type": "code", - "execution_count": 170, + "execution_count": 176, "metadata": {}, "outputs": [ { - "ename": "TypeError", - "evalue": "line_chart() missing 3 required positional arguments: 'yinc', 'ylab', and 'xlab'", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrick\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcharts\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mline_chart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtotal\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'count'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Trips'\u001b[0m\u001b[0;34m,\u001b[0m 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -219,7 +218,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 177, "metadata": {}, "outputs": [ { @@ -228,7 +227,7 @@ "Text(0.94, 0.96, '176,000')" ] }, - "execution_count": 81, + "execution_count": 177, "metadata": {}, "output_type": "execute_result" } @@ -240,7 +239,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 178, "metadata": {}, "outputs": [ { @@ -250,7 +249,7 @@ "
" ] }, - "execution_count": 82, + "execution_count": 178, "metadata": {}, "output_type": "execute_result" } @@ -379,7 +378,7 @@ }, { "cell_type": "code", - "execution_count": 168, + "execution_count": 175, "metadata": {}, "outputs": [ { @@ -388,7 +387,7 @@ "" ] }, - "execution_count": 168, + "execution_count": 175, "metadata": {}, "output_type": "execute_result" } diff --git a/charts/rick.py b/charts/rick.py index 972274c..728c4ba 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -219,8 +219,4 @@ def tow_chart(data, ylab, **kwargs): print(delta) return fig, ax - - - - - \ No newline at end of file + def bar_chart(): \ No newline at end of file From dbccdad9332865204230a6d772dad563991f1c94 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Wed, 10 Jul 2019 17:20:17 -0400 Subject: [PATCH 16/31] added stacked bar --- charts/README.md | 2 +- charts/module_test.ipynb | 560 +++++++++++++++++++++++++++++++++++++-- charts/rick.py | 117 +++++++- 3 files changed, 644 insertions(+), 35 deletions(-) diff --git a/charts/README.md b/charts/README.md index 5bcb3cc..a5e24b0 100644 --- a/charts/README.md +++ b/charts/README.md @@ -1,6 +1,6 @@ # README -## Regular Information Charts Kit +## Repeatable Information Charts Kit This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib `fig` and `ax` object so that the figure can be furthere modified using matplotlib functions. diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index d67e131..9f32f96 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 72, + "execution_count": 220, "metadata": {}, "outputs": [], "source": [ @@ -25,7 +25,7 @@ "#os.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\n", "import importlib\n", "import matplotlib.ticker as ticker\n", - "\n", + "import matplotlib.font_manager as font_manager\n", "CONFIG = configparser.ConfigParser()\n", "CONFIG.read('/home/rliu/bdit_vfh/config.cfg')\n", "dbset = CONFIG['DBSETTINGS']\n", @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 221, "metadata": {}, "outputs": [], "source": [ @@ -43,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 222, "metadata": {}, "outputs": [], "source": [ @@ -84,7 +84,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 223, "metadata": {}, "outputs": [], "source": [ @@ -93,14 +93,14 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 224, "metadata": { "scrolled": false }, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -116,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 225, "metadata": {}, "outputs": [], "source": [ @@ -148,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 173, + "execution_count": 226, "metadata": {}, "outputs": [ { @@ -198,7 +198,7 @@ }, { "cell_type": "code", - "execution_count": 176, + "execution_count": 227, "metadata": {}, "outputs": [ { @@ -218,7 +218,7 @@ }, { "cell_type": "code", - "execution_count": 177, + "execution_count": 228, "metadata": {}, "outputs": [ { @@ -227,7 +227,7 @@ "Text(0.94, 0.96, '176,000')" ] }, - "execution_count": 177, + "execution_count": 228, "metadata": {}, "output_type": "execute_result" } @@ -239,7 +239,7 @@ }, { "cell_type": "code", - "execution_count": 178, + "execution_count": 229, "metadata": {}, "outputs": [ { @@ -249,7 +249,7 @@ "
" ] }, - "execution_count": 178, + "execution_count": 229, "metadata": {}, "output_type": "execute_result" } @@ -260,7 +260,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 230, "metadata": {}, "outputs": [], "source": [ @@ -293,7 +293,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 231, "metadata": {}, "outputs": [ { @@ -351,12 +351,12 @@ }, { "cell_type": "code", - "execution_count": 167, + "execution_count": 241, "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -368,17 +368,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "4.356\n" + "14000\n" ] } ], "source": [ - "fig, ax = rick.charts.tow_chart(data = count_18['count'], ylab='Trips')" + "fig, ax = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)" ] }, { "cell_type": "code", - "execution_count": 175, + "execution_count": 239, "metadata": {}, "outputs": [ { @@ -387,7 +387,7 @@ "" ] }, - "execution_count": 175, + "execution_count": 239, "metadata": {}, "output_type": "execute_result" } @@ -398,7 +398,7 @@ }, { "cell_type": "code", - "execution_count": 154, + "execution_count": 201, "metadata": {}, "outputs": [ { @@ -411,7 +411,7 @@ "dtype: float64" ] }, - "execution_count": 154, + "execution_count": 201, "metadata": {}, "output_type": "execute_result" } @@ -420,6 +420,518 @@ "count_18.max()" ] }, + { + "cell_type": "code", + "execution_count": 412, + "metadata": {}, + "outputs": [], + "source": [ + "query = ''' \n", + "\n", + "WITH sum AS (\n", + "\n", + "SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\n", + "LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n", + "\n", + "WHERE pickup_datetime > '2016-09-30'\n", + "GROUP BY pickup_datetime, area_name\n", + "), collect AS (\n", + "SELECT area_name, avg(count) as count, mon, yr from sum\n", + "group by area_name, mon, yr)\n", + "\n", + ",tot1 AS (\n", + "\n", + "SELECT area_name, avg(count) as count FROM collect\n", + "WHERE (yr =2016 AND mon IN (10))\n", + "GROUP BY area_name\n", + "), tot2 AS (\n", + "\n", + "SELECT area_name, avg(count) as count FROM collect\n", + "WHERE (yr =2018 AND mon IN (9)) \n", + "GROUP BY area_name\n", + ")\n", + "SELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\n", + "b.count as count1, a.count as count2 FROM tot1 b\n", + "LEFT JOIN tot2 a USING (area_name)\n", + "ORDER BY count1 ASC\n", + "'''\n", + "\n", + "district_cond = pandasql.read_sql(query, con)" + ] + }, + { + "cell_type": "code", + "execution_count": 243, + "metadata": {}, + "outputs": [], + "source": [ + "query = ''' \n", + "\n", + "WITH sum AS (\n", + "\n", + "SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\n", + "LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n", + "\n", + "WHERE pickup_datetime > '2016-09-30'\n", + "GROUP BY pickup_datetime, area_name\n", + "), collect AS (\n", + "SELECT area_name, avg(count) as count, mon, yr from sum\n", + "group by area_name, mon, yr)\n", + "\n", + ",tot1 AS (\n", + "\n", + "SELECT area_name, avg(count) as count FROM collect\n", + "WHERE (yr =2016 AND mon IN (10))\n", + "GROUP BY area_name\n", + "), tot2 AS (\n", + "\n", + "SELECT area_name, avg(count) as count FROM collect\n", + "WHERE (yr =2018 AND mon IN (9)) \n", + "GROUP BY area_name\n", + ")\n", + "SELECT SPLIT_PART(area_name, 'Community', 1) as area_name, CASE WHEN b.count = 0 THEN NULL ELSE (a.count-b.count)*100/b.count END as yoy_growth, \n", + "b.count as count1, a.count as count2, a.count-b.count as delta FROM tot1 b\n", + "LEFT JOIN tot2 a USING (area_name)\n", + "ORDER BY count1 ASC\n", + "'''\n", + "\n", + "district = pandasql.read_sql(query, con)" + ] + }, + { + "cell_type": "code", + "execution_count": 219, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4" + ] + }, + "execution_count": 219, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(district)" + ] + }, + { + "cell_type": "code", + "execution_count": 213, + "metadata": {}, + "outputs": [], + "source": [ + "grey = '#7f7e7e'\n", + "leg_font = font_manager.FontProperties(family='Libre Franklin',size=9)" + ] + }, + { + "cell_type": "code", + "execution_count": 383, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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oc/z4cc2aNUvz58833f0sKChIs2bN0vXXX+9WPk+lpKSoT58+2rJli+nxJk2aaPDgwbrppptMx5zk5GQtWbIkx913evTooRdeeIGs+TQrAPtd7YHHK+xaCHD48GF169bN8sGVLl266NFHH1XNmjVNj589e1bz5s3TzJkzTXdq9vPz08SJE3Xbbbd5nNUdTppfkdU7WQFY+/nnn/Xoo4+aPoQYEBCgzp07q1u3bmratKnltXjq1CnNnz9f77zzjmk9VapU0WeffebWWz6WLVum//znP6YPEBQqVEgPPvigevfurVKlSpmev3fvXs2YMUNffPGF6fFixYppwYIFql69usvZ7BAXF6fu3bvryJEjpsdjYmL073//W40bNzY9npiYqI8//lhTp061HMeHDx+u/v37kzWfZgVgLjY2VpMnTzaUR0ZGasKECWrRooVL9X355Zd6+umnDZsmFC1aVJ9//rnbOz1fC/3N2LFjNWfOHNNj5cqV07///W916dJFhQoVMhzPzMzU6tWrNXnyZG3atMm0jujoaM2bN0+FCxcmaz7NChQEjz32mL7++mu3zrVzIYCTrn0nZXWHk+7dkdU7WfOjgNGjR4/O6xAAAAAA7LFgwQLNnDnT9FivXr0UGxur2rVrW+7iGxAQoBo1auiee+5RQkKC6e6Mhw8fVokSJa66Yw4A5EdXdiKxeki6e/fumjZtmlq3bq0SJUpY1hMQEKC6devq3nvvVVZWltavX2/6uS1btqh79+4KDg52KeelS5fUr18/xcXFGY5FRkZq1qxZ6tat2587apopVqyYYmJiFBMTox9//NHwSvPMzEytWbNG99xzj8v57PD666/ryy+/NJT7+flp6NChevnll1W5cmX5+fmZnh8YGKh69erpnnvu0eHDh00Xdmzfvl3R0dGWCzrImrdZAdhr27ZtGjFiRK5et123bl3dcsstHrWXmZmpgQMHmr5dJywsTLGxserfv7/lA5aSFBoaqubNm6tjx45avXq16bj3888/684771RYWJhHed3hpPkVWb2TFYC5kydP6v777zddxFWvXj29++676tGjh8qXL2/5vVO6PF60aNFC//rXv7Rq1SolJCRkOx4fH6/y5curfv36LuU7ffq0HnroIdMHCKpXr665c+eqQ4cOOS4wKFWqlNq1a6dGjRrphx9+UGpqarbjKSkp2rZtm+65554c/0Zveeqpp0znoUFBQRozZoyefPJJlS1b1vL84OBgNW7cWF27dtXWrVtNFwGvW7dOrVu3VunSpcmaD7MCMNq5c6dGjBhhWAQWFRWlDz74QPXq1XO5zpo1a6px48b66quvsr3NLDU1VadPn1bHjh3dylrQ+5uffvpJY8eONT126623aubMmWrSpIkCAwNNP+Pn56dKlSrp7rvvVnBwsH799VfDZ86cOaOUlBS1bNmSrPkwK1BQPPfcc5ZvwQwNDdWtt96q06dPm36ma9eubi8Y+zsnXftOyuoOJ927I2v+uifqbSwEAAAAAAqIU6dO6d///rfhxqQkPfzww3rqqacsH6T4p4CAALVq1Urp6emmP0avX79et99+u4oWLepxbgDwpWnTpmnhwoWG8pCQEP3vf/9T//79TXchsRIQEKAbb7xRJUuW1I8//mg4funSJZUuXdrlh9AmTpxoWl9ERITmz5+vWrVq5bquMmXK6NZbb9VXX31l+OErISFBSUlJiomJcSmfp3bs2KGnnnrK9GHV559/Xg8++GCuH6YJDg5Whw4ddOTIEe3evdtwfMOGDbr33nvd/mGPrN7JCsBeiYmJevDBB3Xu3Lk/ywIDA1WoUCHTHZbtWAgwd+5cffTRR4by0NBQvffeey7teBYeHq7OnTvrhx9+MNzwSU1N1eHDh9W5c2eP8rrKSfMrsjJvBXxt2LBhpm/kaNOmjd555x2VKVPGpfpKly6tNm3a6Ntvv1ViYqIkqXnz5hoxYoS6dOni8ts9nnzySe3YscNQXq1aNc2fPz/HByv/qXLlyrr55pu1ZMkSw5h66tQpFStWzHK3Zm9ZsWKFXn/9dUN5QECAJk+e7NKbdEJDQ9WlSxdt3LhRx48fz3YsMzNT27dv1z333OP2G1bI6p2sAMyNGjXKsMP+ld1fPXmDS4UKFRQYGKhffvklW/m+ffvUqVMnlSxZ0qX6Cnp/c/HiRfXv39+wwE+SbrvtNk2aNEkhISG5qsvPz0/XXXedSpcure+//95wfNu2bYqJiXH5uwdZvZsVKEimT5+e7TcMPz8/NW/eXEOGDNG4cePUpUsX/fTTT4Y+WLJnIYCTrn0nZXWXk+7dkTX/3BP1BWaWAAAAQAHx+uuv/3mz9O9iYmI0YsQIt+ocNmyYWrdubShPSkrSG2+84VadAJCXPvvsM0NZYGCg3nzzTXXq1Mnteu+77z7LBxSXLFniUl1Hjx7V7NmzDeUBAQF68803VbFiRZfzRUVFKTY21nSXlQ8++ECHDx92uU5PjB8/3vTVnD169FCvXr1crs/Pz0/jxo1TdHS04djJkyctdx3ODbJ6JysAez3//POGB17Gjx+vtm3beqW9xMREvfnmm6bHxo0bp4YNG7pcZ/HixTV16lTTnf9XrFhhugOYNzlpfkVW5q2ALy1dulQ//fSTobxp06Z64403cv1gxz9VrFhRs2bN0qBBg/TVV19p9uzZ6tSpk+VOkVbWrVunZcuWGcpDQ0M1bdo0hYeHu5wtOjpaL7/8sumxyZMn68KFCy7X6a6MjAyNHz/e9NjQoUPVpk0bl+sMDg5WbGysypUrZzj222+/6fPPP3e5Toms3soKwNyBAwf0888/G8q7d+/u1psA/qlv376KjIw0lLt6LV8L/c2sWbNM31BQp04djR8/3q1FCd27d1fv3r0N5RkZGXrllVfcyimR1VtZgYLkymYFVapU0dChQ7VixQrNnj1bXbt2VZEiRbzevpOufSdldYeT7t2RNX/dE/UFFgIAAAAABcCJEye0ePFiQ3loaKjGjh3r0SvKx44da/pDxpIlS3Ts2DG36wWAvPD2228bdigeOXKk/vWvf3lc9/Dhw0372+3bt+vSpUu5rmfGjBnZXjV+RZ8+fdSsWTO38zVq1EgPPPCAoTwjI0PTp093u15Xbd68WWvWrDGUly1bVk8++aTb9QYHB+vll1823UV47ty5pg8dXg1ZvZMVgL0+/fRTw6Kze+65R126dHH54cncmjdvnulDj+3atfNoYV3FihU1fPhw02PTpk1zu15XOWl+RdbLmLcCvpGZmanY2FhDeaFChTRhwgSP3xZVtWpVPfbYY6pWrZrbdViNF8OGDVPlypXdrrd9+/bq2LGjoTwxMVFz5851u15XffXVV6YPLURHR+vhhx92u95ixYrphRdeMD02ffp007eOXQ1ZvZMVgLmlS5ealruzMYKZ4OBgtWvXzlC+evVql+op6P1NUlKS5syZYyj39/fX+PHjPfquMHLkSJUvX95Qvm7dOtM3hF0NWS+zOytQ0Lz44otasGCBvvnmGw0cOND0evEWJ137TsrqLifduyNr/rkn6issBAAAAAAKgFmzZhleTy5d3qXG01fiRUREqF+/foby9PR0dgIG4DhVq1bV7Nmz9corr6hMmTJq1aqV7r//flvqLl++vBo0aGAoz8jI0N69e3NVxx9//GH61oIiRYpo0KBBHmccMGCA6U7LX3zxhU6dOuVx/blh9QPb4MGDVbhwYY/qrl27tm6//XZD+fnz5/Xhhx+6XB9ZL7M7KwD7HDhwQGPGjMlWVq1aNT3zzDNeazM1NVXvv/++odzf39/tHd3/rlu3bqpUqZKhfPXq1dq2bZvH9eeGk+ZXZL2MeSvgG19//bUOHDhgKO/fv78qVKiQB4my27lzp1atWmUor1Chgnr27Olx/Y8//rjpLpbvv/++UlJSPK4/N2bMmGFa/sQTT7i1w+bftWrVSjfccIOh/NChQ6ZvWbgasl5md1YA5jZu3GgoK126tKpXr25bG2a/++3atculh+wLen/z0UcfKT4+3lDeuXNn1a1b16O6Q0JCNGTIENNjVv+uOSHrZXZnBQqa9u3bq0mTJnnStpOufSdldYeT7t2R9S/54Z6or7AQAAAAAHC4jIwMww6gkhQUFKT77rvPljZ69eqloKAgQ/nSpUtNH+QAgPzuzjvv1I8//qjp06d7tPvsP9WqVcu0/I8//sjV+V9++aVSU1MN5XfddZeKFy/uUTZJKlq0qO666y5DeVpamr788kuP67+ac+fO6ccffzSUlyhRQnfccYctbfTt29e03NXXoJM1O7uyArBPamqqHn/8cSUlJf1ZFhISokmTJnm8ACgnK1eu1NmzZw3lrVq1UpUqVTyuPzAw0HIe88UXX3hc/9U4aX5F1uyYtwLeN3/+fENZRESEHnnkkTxIY2T13bR3796m/YOrKlWqpNatWxvK4+PjTb+P223Xrl3atWuXobxWrVq68cYbbWnDru/9ZM2O+RTgffv37zeUlStXztY2IiIiDGVpaWlKSEjI1fnXQn9jNWcz25HXHZ07d1apUqUM5StXrlRcXJxLdZH1L3ZmBWAfJ137TsrqDifduyPrX/L6nqgvsRAAAAAAcLjVq1ebTnBvuukmlS5d2pY2SpUqpZtvvtlQHh8fr19++cWWNgDA1+xcAHCF2Q+RkpSYmJir861+eDLbjd1dVnVZvULdTsuWLVN6erqhvGPHjh69Gvbv6tatq5o1axrK9+zZY3pT2ApZs7MrKwD7vPLKK9q5c2e2slGjRqlOnTpebddqrLJr4ZF0+eae2W6YX3/9tUu7bbrDSfMrsmbHvBXwrlOnTmn9+vWG8ttvv92275yeyMrK0ldffWUo9/f3V5cuXWxrJy/nU74Yg1u1aqVixYoZyletWqULFy7kuh6yZmdXVgDWzHYhtvu3P7MH1SQpOTk5V+cX9P7m4MGD2rFjh6G8Ro0aio6OtqWN4OBgdejQwVCekZFh+j3AClmzsysrAPs46dp3UlZ3OeneHVlzV5cv5vC+xEIAAAAAwOGsXunatm1bW9uxqu+bb76xtR0AcLK/78r8d7nZmfnUqVPavHmzoTwyMlINGzb0ONsVDRo0UJkyZQzl27Zt0++//25bO2byesz6+uuvc10HWXNfnytZAdhj+fLlmjt3braytm3b2razupW0tDStWLHCUB4UFKRWrVrZ1k5ERIQaNWpkKD9z5ow2btxoWztm8rpPdWV+Rdbc18e8FfDcV199ZboY684778yDNEabN2/WqVOnDOWNGjUy3cHZXTExMaZvF/jhhx8sHxC1i1VfZmdfGhQUpJiYGEO51XcAK2TNzq6sAKyZjVGnT5+2tQ2rjRDCwsJydX5B72/y+ju/VfuufJasuW8fgHc56dp3UlZ3OOneHVmN8vKeqC+xEAAAAABwOLPd2CTphhtusLUdq/o2bNhgazsA4GRmD55IUokSJa567oYNG5SVlWUot7s/l6Trr7/eMoO3ZGRkmD68GRQUpKZNm9raltW/WW4fHiWrOU+zArDHyZMn9dRTT2UrK1u2rF566SWvt71z507TRW/169dXaGiorW01b97ctNzb8w8nza/Imvv6mLcCnlu5cqWhLCoqSrVr186DNEa+6mdCQ0NVv359Q3lycrJ+++03W9v6u7Nnz+rQoUOG8sjISFWtWtXWtqzG4Nx+7yerOU+zAshZeHi4oez333/X0aNHbWvjp59+MpSVK1dORYoUueq510J/46uxuGnTpqaL8rZu3Wr6xkwzZDWyIysA+zjp2ndSVnc46d4dWc3lxT1RX2MhAAAAAOBgFy5c0IEDBwzlxYsXt/3H4ypVqpj+mH7o0CGdO3fO1rYAwKk2bdpkKPPz81OtWrWueq7ZzheSTHdE9lTjxo1dymCHvXv3mj48WrNmTdsfHrX6N9uyZYvpD4v/RFZznmYF4LmMjAyNGDFC8fHxf5YFBATof//7n+l3dbuZjXOSd8YqqzqtMtjBSfMrsppj3gp4R1ZWlrZs2WIoN3sgPq8U9PmUk8ZgsprLi+82wLWkevXqpuXz5s2zpf7du3ebPuh444035ur8gt7fWH1XyCmPuwoXLmz6W2tSUpJ279591fPJas7TrADs46Rr30lZ3eWkuSZZzeXFHN7XWAgAAAAAONjWrVtNH7yrWbOmV9qrUaOGZQ4AuNZt3rxZZ86cMZRXq1ZNxYoVu+r5Vn2pN/p0q/7c6gdbO1jV7Y2/LywsTOXKlTOUJyQkmD6I+E9kNedpVgCemzJlitatW5etbODAgZa7GtnNl2OVVZ3enHs4aX5FVmvMWwH77d27VwkJCYby6OjoPEhjzup7cW4WZbsqL+ZTvhyDq1atqsDAQEP5vn37dPHixaueT1ZznmYFkLMWLVqYls+ZM8cwh3LHq6++avqd9t57783V+QW9vzl06JDOnz9vKC9XrpyKFi1qe3uejMVktZYX33EAGDnp2ndSVnc56d4dWc1dC+MbCwEAAAAABzN7lax0eRdEb6hUqZJp+ZEjR7zSHgA4yYIFC0zLO3XqlKvzDx48aFpu9065klS5cmXTcm/25/llzDp8+PBVzyWrNU+yAvDMunXrNHXq1Gxl1113nQYNGuSzDFZjlTf6nKioKNOHV86ePavExETb25PyT5+am/GYrNaYtwL2s9pd0Wr3ZV+7ePGi6aLsoKAgRUVF2d5eQZ9PBQcHq2zZsobyzMxMHTt27Krnk9Wcp1kB5Kxz584KCAgwlKenp6t///76+uuv3a573rx5WrVqlaG8bdu2atq0aa7qKOj9jZO+85PVGnMpIH9w0rXvpKzuctK9O7Kay4s5vK+xEAAAAABwsOPHj5uWm+3Wawereq1yAMC1Yu/evVq0aJGhPDAwUHfeeedVz7948aLi4+MN5QEBASpdurQtGf8uMjLS9OZofHy81x6udNKYRVZrfBcA8sa5c+c0fPhwZWRk/FlWvHhx/e9//zPtz73Fl32Ov7+/IiMjXcrhKSf1qWS1xlgF2M/qoUFv7PDoDqvrOzIyUv7+9t8ON3u4MqccdrD63yA/9qVktcYYBXhPxYoV1bVrV9NjSUlJeuyxx9SvXz99//33Sk1NzXW9v/76qyZMmGAoj4yM1JgxY3JdT0Hvb5z0nZ+s1hingPzBSde+k7K6w0n37shqLS/uifqacTsdAAAAAI5hNaktVaqUV9qLiIgwLT9x4oRX2gMAJ8jIyNDo0aOzPZx5xd13360KFSpctQ6rfrREiRJeecAzMDBQ4eHhOnv2rGmWWrVq2d6mk8YsslrjuwCQN5566imdOnUqW9m4ceO8dlPNTFJSkukNGsm6b/BURESEaf9y4sQJ1a5d2/b2nNSnktUaYxVgP1cXAly8eFEbN27U9u3btWPHDv3xxx9KTExUQkKCAgICFBoaqsjISFWtWlXR0dFq2bKlRzf7ra5vb41PVlmvPEQQFhZme5tWf2N+7EvJao0xCvCuUaNG6ZdffrG8pn755Rf98ssvCg0NVbNmzdSsWTNdd911atiwoUJCQgyfX7FihYYOHaqUlJRs5cWLF9c777zjUl9R0Pub/PKd35OHVsnqWVYA9nHSte+krO5w0r07slrLi3uivsZCAAAAAMDBzp07Z1pevHhxr7RXrFgx0/K4uDivtAcATjB16lStX7/eUB4eHq4hQ4bkqg6rftSq37VD0aJFTX/08laf7qQxi6zW+C4A+N7s2bO1YsWKbGW9evVSu3btfJrD6joPCQkxfWjGDr7uc5zUp5LVGmMVYL+TJ0+alv/9gfdLly7p22+/1ddff61Vq1YZHpr8pz179mjVqlWSJD8/P11//fXq3bu32rVr5/Iu/r6eTxUqVEjBwcGmO0qfO3fO9oUAWVlZjulLyZozxijAu4oVK6bp06erT58+lte3dHmR88qVK7Vy5UpJUlBQkOrXr69mzZqpSZMmCgoK0qJFi7RkyRLDuWXKlNGMGTNcWph8LfQ3Vn+ft8Ziq3pz+t/9ap8hq2dZAdjHSde+k7K6w0n37siaM1/fE/U1FgIAAAAADpaUlGRaXqRIEa+0Z3UjMzk52SvtAUB+9/333+utt94yPfbiiy/melfLS5cumZZ7qz+XrPv0qz2w4y4njVlktcZ3AcC3du7cqQkTJmQrq1Wrlp588kmfZ8mLscqqbm/1OU7qU8lqjbEKsN/Fixcty3ft2qWFCxfqiy++UEJCglv1Z2Vlae3atVq7dq3q16+v0aNHq0GDBrk+P6/GKLOFAN6YT1n9fVdyeIO7YzBZc+br7zbAtahmzZpasGCBBg0apP379+fqnLS0NG3atEmbNm3K8XPNmjXTpEmTVKZMGZcyXQv9jZO+85PVGnMpIH9w0rXvpKzucNK9O7LmzNf3RH3Nte0UAAAAAOQrVhOTwEDvrPm1qpcfAQFci3bt2qXHH39cmZmZhmM9e/ZU+/btc12XVT/qrf5curzbmZmcbk56wkljFlmt8V0A8J2kpCQNHTo020OGhQoV0qRJk7y2A39O8tNY5a0+x0l9KlmtMVYB9rOaI3Tr1k133HGH5s6d6/YigH/avn27evbsqQ8++CDX5+TFGGVVtzfmUzn1X976G90dg8maM19/twGuVVWqVNGnn36qhx9+2LbruWvXrpo9e7bLiwCka6O/sfrOb5XDU96Yn5CVuRSQXzjp2ndSVnfkp99DrzbXJGvOfH1P1Nd4IwAAAADgYFaTpICAAK+0x4+AAHDZ4cOH9fDDD5vudtK8eXM988wzLtWXnx5c8fUPpvlxzCKrNb4LAL7z4osv6tChQ9nKnn76adWoUSNP8vj6Ye6c6masImtOGKsA+1ldP2Y74ktSmTJl1KxZMzVp0kT169dX6dKlVaJECQUGBurs2bM6cuSIVq1apS+//FInTpwwnJ+WlqYXXnhBiYmJ6t+/v9v58uIhAm/sJphTnfltURVZc8YYBfhOoUKF9MQTTygoKEhTp071uL5t27Zp2bJlat++vcvfY6+F/sZJ3/nJao1xCsgfnHTtOymrO5x0746sOSvoYxwLAQAAAAAHs5pEZ2VleaW9jIwM03JvreoHgPzo999/1wMPPKAzZ84YjlWvXl1vvvmmyz9WWX3e7G0DdklPTzctDw4O9kp7AQEBpn9PfhyzyGqN7wKAbyxatEifffZZtrIOHTqoW7dueZTIeu6RF2OVt/ocJ82vyGqNsQqwn9V19Xfh4eG6/fbbdfvtt6tBgwaWn4uKilJUVJRuvPFGPfbYY/rggw/02muvmT4kOXHiRFWsWFEdO3bMse38NJ/yRl+T00M0mZmZXnnIxt2+lKw5Y4wCfCclJUWvvfaa3n//fVvq27dvn4YNG6bKlSvrv//9r1q3bp3rc6+F/sbXY7Enfx9ZrTFOAfmDk659J2V1R36aa17t3h1Zc+bre6K+xkIAAAAAwMEKFy5sWm61I5unrCZIVjkAoKD5/fff1bdvX9NdK6OiojRz5kyFh4e7XG+hQoVMy9PS0lyuK7es+nSrLJ4qXLiw6d/jrb/Rqt7cjFlkteZJVgC5c/jwYY0ePTpbWVRUlMaOHZs3gf4/q+s8L8Yqb/U5TppfkdUa81bAfjnNEcLCwjRw4ED16tVLoaGhLtUbHBysBx54QE2aNNHAgQN19uxZw2dGjx6t66+/XhERES7nKyjzqZz6r7S0NK88QOru936y5oz5FOAb+/fv15AhQ7R///5s5UFBQercubNatGih1NRUbdiwQevWrdPx48dzXffhw4c1YMAAde7cWWPHjvXo+7BUcPobX4/FnnznJ6s15lJA/uCka99JWd3hpLkmWXPm63uivsZCAAAAAMDBrCYmly5d8kp7SUlJLuUAgILk2LFj6tu3r44dO2Y4FhERoZkzZ6ps2bJu1e3r/jyntCzRPwAAIABJREFUur31g2lISIhpudXY4imrvy83YxZZrXmSFcDVpaamatiwYbp48eKfZYGBgZo4caKKFi2ah8ms+5u8GKu81ec4aX5FVmvMWwH7WV0/5cuX15w5c1ShQgWP6m/UqJHeeust9enTx3DjPz4+Xm+//baefvppl/MVlPmU1RgsXe7zvNG/uTsGkzVnzKcA71u9erWGDBmihISEbOU33HCDXnrpJVWsWPHPsitvXDt+/LjWrl37539mv/3905IlS3Tw4EHNmjVLxYsXz/Gz10J/46Tv/GS1xlwKyB+cdO07Kas7nDTXJGvOfH1P1Nf88zoAAAAAAPeFhYWZlv/zR267JCYmmpbn9UNJAOBtR48eVZ8+fUxvBJYuXVqzZ89WlSpV3K7fqh+9cOGC23VejdVYYTW2eMrqb/TWmGVVb27GLLJa8yQrgKubOHGifvvtt2xlQ4YMUZMmTfIo0V+srvOkpCTLHZU85es+x0nzK7JaY94K2M/qxvgjjzzi8SKAK5o0aaIhQ4aYHvvwww9z7DN8PZ9KT0+3fIjAG/Op4OBgy4dI89v3frLmjPkU4F1r167VgAEDDNfanXfeqZkzZ2ZbBPB3UVFR6tq1q15++WUtX75cP/zwg8aPH69bb701xwcLf/vtNw0cOPCqb7q6Fvobq/HPW2OxN+YnZGUuBeQXTrr2nZTVHU66d0fWnPn6nqivsRAAAAAAcLBy5cqZlsfFxXmlPat6y5cv75X2ACA/uLII4MSJE4ZjVxYBVK9e3aM2rN4kcO7cOWVlZXlUt5msrCydO3fO9FhUVJTt7Um+H7Os/r7cjFlkteZJVgA5++WXX/T+++9nK2vRooX69++fR4myK1WqlIKDg02PFZT5h5PmV2S1xrwVsF9kZKRpeeXKlW1t5/7771epUqUM5SkpKVq+fLnleVbzKV/3M6GhoSpZsqRX2nTS936yWmM+BXjPyZMnNWTIECUnJ2cr79Spk1555RUFBQXluq5y5cqpa9eumjx5sr7//nsNGDDA8vwNGzZoxowZuarTTEHpb6z+PqscnvLG/ISszKWA/MJJ176TsrrDSffuyGotL+6J+hoLAQAAAAAHs5qYmD2saofff//dpRwA4HRXFgGY9X/lypXT3LlzVa1aNY/biYyMNH24MjU1VWfPnvW4/n+Ki4sz3a3Mmw+uOGnMIqs1vgsA3pGenq4XXnjBcKNj+PDh8vd372f8rKwsy12Uzp8/73J9fn5+ljfVrPoGT508edK03K7dp//JSX0qWa0xVgH2s7p+MjMzbW2ncOHC6tKli+mxX375xfI8q3xW44inrOr15kNyVn+jt8Zgb/T7ZGWMArzp2WefVXx8fLayypUra8yYMR7VW7JkSQ0bNkwfffSR6WI1SXr77bev+kB/Qe9vnPSdn6zWGKeA/MFJ176TsrrDSffuyGotL+6J+lpgXgcAAAAA4D6rB2COHj3qlfas6vXWgzgAkJdyWgRQuXJlzZo1y7YfF688XHno0CHDsSNHjigiIsKWdq6w6s+9eVPHSWMWWa3xXQDwju3bt5uOAffee69X2luxYoVq165teqxly5Z69913TY9VqFDBcqxq1KiRnRF15swZw26ekndv0DipTyWrNcYqwH5WD7gnJCTY3tZNN92k9957z1C+c+dOy3MiIyMVEhKilJSUbOXJyck6deqUypQpY2vGvOhnrOo+cuSI7W1lZmbq+PHjLuXIzWfI6llWANbWr1+vn376yVD+4osvKiwszJY26tWrp7fffls9evRQenp6tmMpKSn65JNP9Mgjj1ieX9D7Gyd95yerNeZSQP7gpGvfSVnd4aR7d2S1lhf3RH2NNwIAAAAADlavXj3T8j179nilvf3795uW169f3yvtAUBeOXLkiOUigJo1a2ru3Lm2/0AUHR1tWu6NPn3fvn2m5d7sz305ZqWmppreSA0ODrZ88PXvyGrO06wArP3zwcW8dPDgQctjvuxzCvpYJXk2vyKrNeatgP1q1aplWn7s2DHb26pevbpp+enTpy3P8fPzU926dU2PMUa57vjx46aL8aKionK1GI+s5jzNCsDaxx9/bChr3LixWrRoYWs7DRo00N133216zGwhwt8V9P6mdu3aCggIMJQfOXLENIunPPnOT1ZrzKWA/MFJ176TsrrLSffuyGouL+bwvsZCAAAAAMDBqlatqvDwcEP5mTNnbH/9+R9//GH6QGzp0qXZDQRAgXLkyBHdf//9pn1edHS05syZo8jISNvbbdy4sWn5tm3bbG/Lqs4mTZrY3tYVjRs3lp+fn6F8165dpq/k9MTOnTuVkZFhKI+OjjZ93eg/kdWcp1kBOF9BH6ucNL8iqznmrYB3REdHKygoyFDujRv0pUqVMi2/ePFijucV9DHKSX8fWc3lxf9vgGvFjz/+aCjr0KGDV9q66667TMuv1m8U9P4mNDTUdJOIzMxMbd++3da2MjIytGPHDkN5YGCgGjZseNXzyWrO06wA7OOka99JWd3lpDGcrOauhbkYCwEAAAAAB/Pz87OcJP3666+2trV+/XrT8qZNm9raDgDkpZwWATRt2lTvv/++SpQo4ZW2rX5wWrNmje1tbdiwwbTcm3160aJFVaNGDUN5cnKytm7damtbVmNWbn/UI6s5T7MCcD6r633z5s22Lz7Ki7HKSfMrsppj3gp4R0hIiOmO+1Z9tSf8/c1vX5stRPg7X82nMjIytHnzZkO5v7+/ZV9nh1q1aiksLMxQfuTIEdP5qyc87UvJao4xCvCOkydPKi4uzlDeoEEDr7RntTju0qVLSkxMtDzvWuhvfDUW79ixQ0lJSYbyOnXqqHDhwrmqg6xGdmQFYB8nXftOyuoOJ927I6u5vPid2ddYCAAAAAA4XOvWrU3LV6xYYWs7P/zwg2l527ZtbW0HAPJKTosAbrrpJs2cOVNFixb1WvvR0dGmbxo4evSorTttHjt2THv37jWUV6pUSTVr1rStHTNWY9by5cttbceOMYusRnwXALynUqVKpjum54V69epZHitZsqTpQ46XLl3Szz//bFuGS5cumT4gHhoaqhYtWtjWjhknza/IasRYBXhPy5YtDWUnTpzQ7t27bW3H7GFOSSpevHiO57Vs2dL0LVUbNmzQ+fPnbckmXX64MiEhwVDevHlz0wc87eLv769WrVqZHvPF934/Pz+1adMmV+eT1ZynWQGYO3PmjGm51RtmPBUUFKRixYqZHsvp7TXXQn/jpN+nyGrEXArIX5x07TspqzucdO+OrEZ5eU/Ul1gIAAAAADhc+/btFRgYaCj/8ccfbbvRmZycbDpZL1SoED8CAigQjhw5oj59+pguAmjbtq3efvttr+985O/vr44dO5oeW7RokW3tfPnll6blt912m21tWLFqY+nSpUpPT7eljZMnT5ru7lGuXDk1a9Ys1/WQNTu7sgIwV65cOa1Zs0a7d++29b++ffuatte6dWvt2rXL9JzY2Ngcs3bq1Mm03M6xasWKFUpOTjaU33LLLSpUqJBt7Zhx0vyKrNkxbwW8y2quYjW/cJfVwoKqVavmeF5YWJhiYmIM5WlpabZmXLp0qWm5L+ZTvhiDN2/erOPHjxvKmzZtqnLlyuW6HrJmZ1dWAEYpKSkuldshIyPDtPxqC8IKen9z4403qmTJkoby3377Tfv377etHTt+2ySrUV7+ZgzAyEnXvpOyusNJ9+7IanStjG8sBAAAAAAcrkSJEqa7siUnJ2vBggW2tLF48WJduHDBUN6mTRuv7nYGAL5wZRHAyZMnDcc6d+6sN99803RnSW/o0qWLafnChQtz3FUst9LT0y3HBqu27VSnTh3THTZOnTqlr7/+2pY2FixYYHpDtnPnzvLz88t1PWTNzq6sAHzL6k024eHhbl+7nTp1Mn2ge9myZTpx4oRbdf7TvHnzTMt9MVY5aX5F1uyYtwLeVatWLdPvnAsXLrT1YcuVK1ealtevX/+q51qNE3PmzFFmZqZHuSTpwoULWrx4saE8JCREt956q8f1X01MTIzpG4S2bNmiTZs22dKGXWMwWbPLy+82QEFn9T3v9OnTXmkvJSVF8fHxhvIiRYqoSJEiOZ5b0PubwMBAywf63n//fVvaWL16tQ4cOGAob9SokSpXrpzresianV1ZAdjHSde+k7K6y0n37sj6l7y+J+pLLAQAAAAACoAHH3zQtPydd96xfKV6bqWmpmrq1Kmmxx566CGP6gaAvJbTIoB7771XEyZMMH3Y0VsaNGigG264wVAeHx+v6dOne1z/J598YrorWOvWrVW9enWP688NqzHr9ddfV2pqqkd1x8XFac6cOYby4OBg9enTx+X6yHqZ3VkBOFvp0qVNb5Skp6frtdde87j+VatWmb6BpHbt2vq///s/j+vPDSfNr8h6GfNWwDfuv/9+Q9nZs2c1f/58W+pPTk623HG/TZs2Vz2/Xbt2qlSpkqF8//79+uSTTzzO98477ygpKclQ3q1bNxUvXtzj+q8mODhYvXv3Nj02YcIEj+vfv3+/6b9/RESEunbt6lJdZP2LnVkBGFWoUMG0fO3atV5p79dffzUtb9So0VXPvRb6mwceeEABAQGG8k8++cSWXaHfeOMN0/KHH37Y5brI+hc7swKwj5OufSdldYeT7t2R9S/54Z6or7AQAAAAACgAmjdvriZNmhjKL1y4oOeff96juidPnmw6QYqJicnVbmwAkF8dPnzYchFA3759NXbsWPn7+/6nkwEDBpiWv/vuu9q2bZvb9Z4+fdryAc1Bgwa5Xa+rbr/9dkVFRRnKjx49qokTJ3pU99ixY5WYmGgov/vuu1WmTBmX6yPrZXZnBeB8/fv3Nx0jFy9erOXLl7tdb1JSkl544QXTYwMGDPDZG0icNL8i62XMWwHfuPPOO02//02ePNmWnZfnzJmjc+fOGcorVapk2n/8U0BAgB555BHTY6+++qpHb67ZvXu3Zs6caSgPCgry6UNyffr0Md1xesOGDZo9e7bb9WZmZuqZZ54xfQvYAw88oEKFCrlcJ1m9kxVAdmFhYapRo4ah/Msvv1RaWprt7X3++eem5a1atcrV+QW9v6lUqZLprtDp6el68sknPfrfZMGCBaZvTqhZs6batWvncn1kvczurADs46Rr30lZ3eWke3dkzT/3RH2FhQAAAABAAfHEE0+YPhizbNkyy1XyV/PNN99oxowZhvLAwEANHz7crToBID84fPiw7r//ftNFAAMHDtRTTz2VB6kuu/nmm9WyZUtDeVpamgYPHuzWwyvJyckaMmSI6avL27dvr4YNG7qV1R2BgYEaNmyY6bH33ntPCxcudKveWbNmme56VrRoUQ0cONCtOsnqnawAnK9atWq65557TI+NHDlSO3bscLnOjIwMPfHEEzpy5IjhWKNGjdShQweX6/SEk+ZXZGXeCvhKcHCwHnvsMUN5YmKihg8frvT0dLfrPnjwoKZMmWJ6zJWb9F27dlXNmjUN5RcuXNCAAQN04cIFl7PFxcVp8ODBpg+v9OnTR2XLlnW5TneFh4erf//+psdeffVVrVy50q16X3rpJW3cuNFQHhUVpfvuu8+tOsnqnawAjMweAjx+/LjeeecdW9v55Zdf9OWXXxrKCxUqlOsd96+F/uaxxx4zXXiwdetWPfvss8rKynK5zo0bN+qll14yPTZixAi3F42T1TtZAdjHSde+k7K6w0n37siaf+6J+goLAQAAAIAColmzZpY/6E6ZMkVjx45VampqrutbuHChhg8fbjopf/jhh1WnTh23swJAXsppEcCIESM0dOjQPEiV3YsvvqjQ0FBD+cmTJ9WzZ0+XdsE4ffq0HnjgAW3evNlwLDw8XM8995xL2WJiYlS7dm3DfwsWLMh1HV26dFHr1q1Njz333HOaPn16rn8UzszMVGxsrMaPH296fNSoUR7tWk9W72QF4HwjR4407QcSExPVt29f/fTTT7muKyEhQUOGDNF3331nOBYUFKRx48a59Jaenj17mo5VrrwhxUnzK7IybwV86e6779bNN99sKF+7dq2eeuopZWZmulznH3/8oYEDByopKclwLDo6WnfccUeu6woKCtJLL72kgIAAw7Hdu3erV69eOnz4cK7rO3DggHr27Gm6UK1y5cqmCyOsXLhwQU2aNDGMT3Xr1tWPP/6Y63oefvhh1atXz1CelpamQYMG6bPPPst1XampqXruuec0Z84c0+NjxowxnZuSNW+zAsiuZ8+epg8evvXWW/rmm29saWPHjh16/PHHTY89+uijKl68eK7rys/9zYgRI0znUlZ/u5lKlSpZjo+fffaZhg4davrmSSvff/+9HnroIaWkpBiOdenSRf/6179yXdc/kdU7WQHYx0nXfn7OunLlStWtW9cwvjVu3Nj0YXEr+fneHVl9kzW/Chg9evTovA4BAAAAwB7XX3+9vv/+e509e9ZwbOvWrfr2229VsmRJValSxfSGqHT5FbTPPvus3nvvPdObtw0aNNArr7xieT4A5GeHDh1S7969dfr0acOx++67z6WbWt5UrFgxRUZGavny5YZjiYmJ+vTTTxUXF6dq1apZ3mi8cOGC5syZo+HDh+vQoUOG435+fnr11Vdd3vnC6sHw+vXrq3nz5rmu5/rrr9fSpUt18eLFbOVZWVlavXq1Vq1apbJly6pixYqmu7pkZmZq5cqVeuKJJ7R48WLTNtq2bauRI0fmOhNZfZsVgPetXbtWa9euNZTXrVtXt9xyi0d1h4SEqHbt2lq6dKlh3pCSkqLFixfr8OHDqlKlikqVKmVax6VLl/Tpp59q6NChljd0Ro0apbZt27qUbcqUKUpISDCUV6pUyaW/20nzK7J6JysAc1e+c/7zwf3du3drz549atmypUJCQnJV165du/Twww+bzllCQ0M1a9YslShRwqV8ZcqUUVZWlukYGBcXp4ULFyolJUU1atSwfDjy9OnTmj59up588knT/io4OFhTpkxRxYoVc53rzJkzevfddw3lWVlZuummm1S3bt1c1ePv76+mTZtq0aJFhrcUZGRk6LvvvtPWrVtVsWJFlStXzrSO1NRUffPNNxo2bJhWrVpl+pk+ffqod+/eucpEVt9mBZBdWFiYsrKytGbNmmzlmZmZWrZsmSSpcePGbn03zMrK0meffabHH39c58+fNxxv2LChxo0b51Ld+bm/mTNnjo4fP24oL1GihO66665c19OoUSNt3LhRx44dMxzbt2+fFi9erCJFiqh69eoKDAw0rWPXrl16+eWX9dprr5m+ladChQqKjY1V4cKFc52LrL7LClwrsrKytGDBAp06dcpwrGPHjqpSpYrHbTjp2s+vWTds2GC6AUl6erp69uypYsWK5aqe/Hzvjqy+yZpf+WW5884NAAAAAPnW77//ru7du5v+4HBFsWLF1LRpU1WuXFmhoaFKSUnR8ePHtWXLFtMdsq+oWLGiPvzwQ8sHeQAgv+vWrZu2bNni83abNm2q+fPnu3zeG2+8oSlTpuT4mTp16qhevXqKiIiQv7+/zp07p71792rr1q1KT0+3PG/UqFF68MEHXc5Uu3Zt0/LBgwdryJAhLtW1a9cu9erVy/DQ+t9FRESoSZMmqlChggoVKqRLly7pyJEj2rRpk86dO2d5XsOGDTV79mzbblqR1TtZAXjX5MmTFRsbayjv2rWr5cIuV3388cd6+umnc/xM1apV1aBBA0VGRiowMFAJCQnav3+/Nm/erOTkZMvzevfurWeffdblTG3atDF9eMWdv9tJ8yuyeicrAHPbt29Xnz59THfxL1++vAYPHqwuXbooODjY9PwzZ85o5syZmjt3rumbQK48aP9///d/bmccNWqUPv/8c8vj/v7+atCggWrXrq0SJUooKytLcXFx2rVrl3bs2GH5dgM/Pz9NmjRJHTt2dCnPsWPHLBe3vfzyyy49YClJq1at0qOPPprjvK98+fJq1KiRypUrp5CQECUmJurQoUPatGlTjrtxtm3bVrGxsS69kYesvs8K4C+ZmZkaOHCgfvjhB9PjlSpVUs+ePXXbbbfl6g2Hly5d0jfffKP58+eb7igrXX4zzPz5893+3pkf+5s+ffqYLqS74YYbLN86YCUhIUG9evXSnj17LD9TuHBhNW3aVNWqVVNYWJhSU1N16tQpbdu2Lcc3+ISHh2vBggWqWrWqS5nI6tusQEHQq1cvbdiwwfZ6/fz8NGbMGN177725+ryTrv38mPXTTz/Vf//7X9Njy5cvV4UKFVyqLz/euyOrb7PmNywEAAAAAAqg/fv369FHH9XRo0dtq7Nq1aqaMWOGSzudAUB+U7duXcuHObwpKipKK1ascOvciRMnavr06bZl8fPz03/+8x8NGjTIrfPtXAggSevXr9fgwYNzfPjcVU2aNNGUKVNUsmRJ2+qUyOqtrAC8xxcLASRp3rx5eumll3K82eKqHj166Pnnn3frQTk7FwJIzppfkZV5K+BLV/vOWbx4cV1//fWqVauWSpQooYyMDJ0+fVpbt27Vpk2blJGRYXpe0aJF9dprrykmJsajfGlpaXrmmWdyXAzgqqCgIL344osuP7Qv2b8QQJKWLVumkSNH6tKlSy6fa6VNmzZ67bXXbF/8S1bvZAXwl5SUFD3++OOmO/5e4efnp0qVKqlOnTqqVKmSwsLCFBYWpvT0dCUkJOiPP/7Qjh07tHv3bqWkpFjWY9dvJPmtv7FzIYAknTp1SgMHDtRvv/3m8rlWSpcuralTp6pBgwa21SmR1VtZAaez+o3JDq7eU3HStZ/fstq9EEDKf/fuckJW72TNT1hqDgAAABRA1atX18KFC3XTTTfZUl9MTIw++ugjHqYA4Hh5sQjAU8OHD9eECRMUGhrqcV1FihTR66+/nq9+8Lruuuv08ccfq169erbUd9ddd2n27NleeVidrN7JCsD57rvvPs2YMcOWPiIoKEjPPPOMXnjhhXyzW66T5ldkZd4K+NKV75zR0dGmx8+fP6/vvvtOU6ZM0bhx4zR+/HjNnDlT69evt1wEUL9+fX388cceLwKQLo8pr7zyikaOHKmgoCCP64uIiNCsWbPcemDfW2699VbNnz/frQdX/snf31+PPvqo3nrrLa88rE5W72QF/h979x0dZbX1cfyXThqhhCIBCb2D8SIdAUGBCIhBECIdEVRQQeQFxX4VuaigV1GaiAXpLQRC7xYEMaGHLk0g9CSQTJJ5/2DBJSYz88xkwjDw/azlWjjPPvvswDPPBHL2OfgfPz8/ffHFF3rjjTdUsGDBXGPMZrOOHj2q5cuXa/LkyRo3bpzef/99jR49Wl988YVmzpyphIQEi00Afn5+euWVV/T999875e8/d/vzpkSJEpoxY4batWvnlHy1atXS3Llz82WxOrXmT60AnMed3vvuVKuj3Olnd9R65/xMNL/cGf+KDgAAAMDpChcurGnTpmns2LGGjrrNTcmSJTVu3DhNnjzZ4j+cAwDyX4cOHRQXF+fwP5p6eHioQ4cOWr58udq0aePk6v43h6NKly6tuXPnWv1BrS0VKlTQtGnTNHr0aPn6+jpciy3UCgC5a9SokeLi4tS9e3d5eXk5lKNZs2aKjY1Vjx49nFzddXn5rHKnv19RK4DbqXTp0pozZ47efffdPC2IDAsL07///W/NmTNH4eHhzitQUr9+/bR48WI1adLEofHe3t7q2bOn4uLi9NBDDzm1thvy0vxWrVo1xcbGatCgQSpQoIBDOSIiIjRnzhwNHTo0XxvxqBVAfvPw8FDPnj21YsUK9ejRQ0FBQU7JGxAQoB49emj58uV6/vnnndJgdoM7PG/y8nepAgUK6JNPPtHkyZNVrlw5h3IUKlRIb731lmbPnq2SJUs6XIst1ArgTudO7313qTUvn5vu8LO7G6j17uZhNpvNri4CAAAAQP5KT0/XypUrNX/+fP3+++9Wj7T18/PTQw89pE6dOqlVq1Ys+gNwV2nbtq0OHTp02+dt0qSJpk6d6pRchw8f1pw5cxQXF2fzSNqwsDBFRkaqc+fOKlu2rFPmb926tY4cOZLj9cmTJztl186UlBQtXbpU8+fPV0JCgjIyMizGBgQEqEmTJnrqqafUtGn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period_namecount1count2
0Weekday Overnight1088.2222223580.000000
1Weekend Overnight3000.6666675475.300000
2Weekday Midday2518.1111117357.684211
3Weekday Night3680.7142868509.600000
4Weekend Midday3970.1666679419.000000
5Weekday Commuter3808.2777789711.157895
6Friday/Saturday Night6685.28571412691.555556
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" + ], + "text/plain": [ + " period_name count1 count2\n", + "0 Weekday Overnight 1088.222222 3580.000000\n", + "1 Weekend Overnight 3000.666667 5475.300000\n", + "2 Weekday Midday 2518.111111 7357.684211\n", + "3 Weekday Night 3680.714286 8509.600000\n", + "4 Weekend Midday 3970.166667 9419.000000\n", + "5 Weekday Commuter 3808.277778 9711.157895\n", + "6 Friday/Saturday Night 6685.285714 12691.555556" + ] + }, + "execution_count": 340, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "query = '''\n", + "\n", + "WITH sum AS (\n", + "SELECT period_uid, hr, CASE WHEN pickup_datetime < '2016-10-01' THEN 1 WHEN pickup_datetime > '2018-08-31' THEN 2 \n", + "ELSE NULL END AS yr_period,\n", + "sum(count) as count FROM ptc.trip_data_agg_ward_25\n", + "LEFT JOIN ptc.period_lookup_simple ON hr=period_hr and extract(dow from pickup_datetime)=period_dow\n", + "LEFT JOIN ref.holiday ON dt=pickup_datetime\n", + "WHERE period_uid IS NOT NULL\n", + "AND holiday IS NULL\n", + "AND pickup_datetime NOT IN ('2016-12-31', '2017-01-01', '2017-01-02', '2017-12-31', '2018-01-01', '2018-01-02')\n", + "GROUP BY period_uid, hr, pickup_datetime\n", + "ORDER BY period_uid\n", + "), avg_hr AS (\n", + "SELECT avg(count) as count, period_uid, yr_period, hr\n", + "FROM sum\n", + "GROUP BY period_uid, yr_period, hr\n", + "\n", + "), count18 as (\n", + "SELECT period_name, max(count) as count, swatch from avg_hr\n", + "LEFT JOIN ptc.periods_simple USING (period_uid)\n", + "WHERE yr_period=2\n", + "GROUP BY period_name, swatch, period_uid\n", + "ORDER BY count ASC\n", + "), count16 AS (\n", + "SELECT period_name, max(count) as count, swatch from avg_hr\n", + "LEFT JOIN ptc.periods_simple USING (period_uid)\n", + "WHERE yr_period =1\n", + "GROUP BY period_name, swatch, period_uid\n", + "ORDER BY count ASC\n", + ")\n", + "SELECT period_name, a.count as count1, b.count as count2 from count16 a\n", + "LEFT JOIN count18 b USING (period_name)\n", + "ORDER BY count2 ASC\n", + "\n", + "'''\n", + "wait_mon=pandasql.read_sql(query, con)\n", + "wait_mon" + ] + }, + { + "cell_type": "code", + "execution_count": 377, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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namevalues1values2percent
0Scarborough464513813197.373520
1Etobicoke York721220690186.882973
2North York949424715160.322309
3Toronto and East York4308993547117.101813
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" + ], + "text/plain": [ + " name values1 values2 percent\n", + "0 Scarborough 4645 13813 197.373520\n", + "1 Etobicoke York 7212 20690 186.882973\n", + "2 North York 9494 24715 160.322309\n", + "3 Toronto and East York 43089 93547 117.101813" + ] + }, + "execution_count": 377, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "district_cond" + ] + }, + { + "cell_type": "code", + "execution_count": 408, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 408, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "importlib.reload(rick)" + ] + }, + { + "cell_type": "code", + "execution_count": 413, + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "image/png": 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namevalues1values2percent
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1Etobicoke York721220690186.882973
2North York949424715160.322309
3Toronto and East York4308993547117.101813
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" + ], + "text/plain": [ + " name values1 values2 percent\n", + "0 Scarborough 4645 13813 197.373520\n", + "1 Etobicoke York 7212 20690 186.882973\n", + "2 North York 9494 24715 160.322309\n", + "3 Toronto and East York 43089 93547 117.101813" + ] + }, + "execution_count": 411, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "district_cond" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/charts/rick.py b/charts/rick.py index 728c4ba..60f9b7b 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -15,12 +15,18 @@ import os import shapely from shapely.geometry import Point +import matplotlib.font_manager as font_manager +import numpy as np #shapely workaround for windows #os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +class font: + leg_font = font_manager.FontProperties(family='Libre Franklin',size=9) + class colour: purple = '#660159' + grey = '#7f7e7e' class geo: def ttc(con): @@ -116,13 +122,13 @@ def chloro_map(con, df, lower, upper, title, **kwargs): if unit is not None: if 0 < upper < 10: - ax.text(0.823, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + ax.text(0.829, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') elif 10 <= upper < 100: - ax.text(0.833, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + ax.text(0.839, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') elif 100 <= upper < 1000: - ax.text(0.845, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + ax.text(0.851, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') elif 1000 <= upper < 100000: - ax.text(0.856, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + ax.text(0.862, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') else: pass @@ -173,9 +179,15 @@ def line_chart(data, ylab, xlab, **kwargs): def tow_chart(data, ylab, **kwargs): - ymax = kwargs.get('ymax', int(data.max())) + ymax = kwargs.get('ymax', None) ymin = kwargs.get('ymin', 0) + + ymax_flag = True + if ymax == None: + ymax = int(data.max()) + ymax_flag = False + delta = (ymax - ymin)/3 i = 0 while True: @@ -184,6 +196,12 @@ def tow_chart(data, ylab, **kwargs): if delta < 10: break yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i))) + + if ymax_flag == True: + upper = ymax + else: + upper = int(3*yinc+ymin) + fig, ax =plt.subplots() ax.plot(data, linewidth = 2.5, color = colour.purple) @@ -191,7 +209,7 @@ def tow_chart(data, ylab, **kwargs): ax.set_facecolor('xkcd:white') plt.xlabel('Time of week', fontname = 'Libre Franklin', fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold') - ax.set_ylim([ymin,int(3*yinc+ymin)]) + ax.set_ylim([ymin,upper]) ax.grid(color='k', linestyle='-', linewidth=0.2) plt.ylabel(ylab, fontname = 'Libre Franklin', fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold') @@ -199,7 +217,7 @@ def tow_chart(data, ylab, **kwargs): ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) - plt.yticks(range(ymin,int(3.1*yinc), yinc), fontsize =9, fontname = 'Libre Franklin') + plt.yticks(range(ymin,upper+int(0.1*yinc), yinc), fontsize =9, fontname = 'Libre Franklin') ax.set_xticks(range(0,180,12)) ax.set_xticklabels(['0','12','0','12', @@ -215,8 +233,87 @@ def tow_chart(data, ylab, **kwargs): props = dict(boxstyle='round, pad=0.3',edgecolor=colour.purple, linewidth = 1.5, facecolor = 'w', alpha=1) ax.set_xlim([0,167]) - plt.show() - print(delta) return fig, ax - def bar_chart(): \ No newline at end of file + def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): + + data.columns = ['name', 'values1', 'values2'] + + xmin = kwargs.get('xmin', 0) + xmax = kwargs.get('xmax', None) + precision = kwargs.get('precision', -1) + percent = kwargs.get('percent', False) + + xmax_flag = True + if xmax == None: + xmax = int(max(data[['values1', 'values2']].max())) + xmax_flag = False + + delta = (xmax - xmin)/4 + i = 0 + while True: + delta /= 10 + i += 1 + if delta < 10: + break + xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i))) + + if xmax_flag == True: + upper = xmax + else: + upper = int(4*xinc+xmin) + + data.columns = ['name', 'values1', 'values2'] + + ind = np.arange(len(data)) + + fig, ax = plt.subplots() + fig.set_size_inches(6.1, len(data)) + ax.grid(color='k', linestyle='-', linewidth=0.25) + + p1 = ax.barh(ind+0.4, data['values1'], 0.4, align='center', color = colour.grey) + p2 = ax.barh(ind, data['values2'], 0.4, align='center', color = colour.purple) + ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) + + ax.xaxis.grid(True) + ax.yaxis.grid(False) + ax.set_yticks(ind+0.4/2) + ax.set_xlim(0,upper) + ax.set_yticklabels(data['name']) + ax.set_xlabel(xlab, horizontalalignment='left', x=0, labelpad=10, fontname = 'Libre Franklin', fontsize=10, fontweight = 'bold') + + ax.set_facecolor('xkcd:white') + j=0 + + if precision < 1: + data[['values1', 'values2']] = data[['values1', 'values2']].astype(int) + for i in data['values2']: + if i < 0.1*upper: + ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = 'Libre Franklin', fontsize=10) + else: + ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = 'Libre Franklin', fontsize=10) + j=j+1 + j=0.4 + for i in data['values1']: + if i < 0.1*upper: + ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = 'Libre Franklin', fontsize=10) + else: + ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = 'Libre Franklin', fontsize=10) + j=j+1 + + + ax.legend((p1[0], p2[0]), (lab1, lab2), loc=4, frameon=False, prop=font.leg_font) + plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = 'Libre Franklin', fontsize =10) + plt.yticks( fontname = 'Libre Franklin', fontsize =10) + + if percent == True: + data_yoy = data + data_yoy['percent'] = (data['values2']-data['values1'])*100/data['values1'] + j=0.15 + for index, row in data_yoy.iterrows(): + ax.annotate('+'+str(format(int(round(row['percent'],0)), ','))+'%', xy=(max(row[['values1', 'values2']]) + 0.03*upper, j), + color = 'k', fontname = 'Libre Franklin', fontsize=10) + j=j+1 + + + return fig, ax \ No newline at end of file From 19e0686f322729a15f425a0e1c6b4c01726bdde4 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Tue, 16 Jul 2019 10:44:14 -0400 Subject: [PATCH 17/31] finished all charting functions --- charts/module_test.ipynb | 195 +++++++++++++++++++++++++++++---------- charts/rick.py | 122 ++++++++++++++++++------ 2 files changed, 237 insertions(+), 80 deletions(-) diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index 9f32f96..5ebea76 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -146,6 +146,38 @@ "total=pandasql.read_sql(query, con)" ] }, + { + "cell_type": "code", + "execution_count": 479, + "metadata": {}, + "outputs": [], + "source": [ + "query='''\n", + "WITH daily_ave AS (\n", + "\n", + "SELECT * FROM ptc.daily_trips\n", + "), total AS (\n", + "SELECT extract(month from pickup_datetime) as mon,\n", + "extract(year from pickup_datetime) as yr,\n", + "\n", + "CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\n", + "WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\n", + "avg(count)::integer END as count FROM daily_ave\n", + "GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\n", + "ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n", + ")\n", + "\n", + "\n", + "SELECT \n", + "CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \n", + "WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \n", + "ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\n", + "END AS period, \n", + "count/2 as count FROM total\n", + "'''\n", + "total2=pandasql.read_sql(query, con)" + ] + }, { "cell_type": "code", "execution_count": 226, @@ -198,12 +230,12 @@ }, { "cell_type": "code", - "execution_count": 227, + "execution_count": 481, "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -213,7 +245,7 @@ } ], "source": [ - "fig, ax = rick.charts.line_chart(total['count'], 'Trips', 'Time')" + "fig, ax = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])" ] }, { @@ -422,7 +454,7 @@ }, { "cell_type": "code", - "execution_count": 412, + "execution_count": 435, "metadata": {}, "outputs": [], "source": [ @@ -592,7 +624,7 @@ }, { "cell_type": "code", - "execution_count": 340, + "execution_count": 424, "metadata": {}, "outputs": [ { @@ -679,7 +711,7 @@ "6 Friday/Saturday Night 6685.285714 12691.555556" ] }, - "execution_count": 340, + "execution_count": 424, "metadata": {}, "output_type": "execute_result" } @@ -727,7 +759,7 @@ }, { "cell_type": "code", - "execution_count": 377, + "execution_count": 439, "metadata": {}, "outputs": [ { @@ -798,7 +830,7 @@ "3 Toronto and East York 43089 93547 117.101813" ] }, - "execution_count": 377, + "execution_count": 439, "metadata": {}, "output_type": "execute_result" } @@ -809,7 +841,7 @@ }, { "cell_type": "code", - "execution_count": 408, + "execution_count": 488, "metadata": {}, "outputs": [ { @@ -818,7 +850,7 @@ "" ] }, - "execution_count": 408, + "execution_count": 488, "metadata": {}, "output_type": "execute_result" } @@ -829,16 +861,94 @@ }, { "cell_type": "code", - "execution_count": 413, - "metadata": { - "scrolled": false - }, + "execution_count": 489, + "metadata": {}, + "outputs": [], + "source": [ + "pass_data = {'cat': ['PTC','Taxi', 'Trip Making Population'],\n", + " 'TTC Pass': [22,16,16],\n", + " }\n", + "\n", + "transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])\n", + "transit_pass = transit_pass .reindex(index=transit_pass .index[::-1])" + ] + }, + { + "cell_type": "code", + "execution_count": 490, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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" + " cat TTC Pass\n", + "2 Trip Making Population 16\n", + "1 Taxi 16\n", + "0 PTC 22" + ] + }, + "execution_count": 490, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "transit_pass" + ] + }, + { + "cell_type": "code", + "execution_count": 491, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" ] }, "metadata": {}, @@ -846,13 +956,12 @@ } ], "source": [ - "fig, ax = rick.charts.stacked_chart(district_cond, xlab='Trips', lab1 = 'Oct 2016', lab2 = 'Sept 2018',\n", - " percent = True)" + "fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')" ] }, { "cell_type": "code", - "execution_count": 411, + "execution_count": 492, "metadata": {}, "outputs": [ { @@ -876,60 +985,44 @@ " \n", " \n", " \n", - " name\n", - " values1\n", - " values2\n", - " percent\n", + " cat\n", + " TTC Pass\n", " \n", " \n", " \n", " \n", - " 0\n", - " Scarborough\n", - " 4645\n", - " 13813\n", - " 197.373520\n", + " 2\n", + " Trip Making Population\n", + " 16\n", " \n", " \n", " 1\n", - " Etobicoke York\n", - " 7212\n", - " 20690\n", - " 186.882973\n", + " Taxi\n", + " 16\n", " \n", " \n", - " 2\n", - " North York\n", - " 9494\n", - " 24715\n", - " 160.322309\n", - " \n", - " \n", - " 3\n", - " Toronto and East York\n", - " 43089\n", - " 93547\n", - " 117.101813\n", + " 0\n", + " PTC\n", + " 22\n", " \n", " \n", "\n", "" ], "text/plain": [ - " name values1 values2 percent\n", - "0 Scarborough 4645 13813 197.373520\n", - "1 Etobicoke York 7212 20690 186.882973\n", - "2 North York 9494 24715 160.322309\n", - "3 Toronto and East York 43089 93547 117.101813" + " cat TTC Pass\n", + "2 Trip Making Population 16\n", + "1 Taxi 16\n", + "0 PTC 22" ] }, - "execution_count": 411, + "execution_count": 492, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "district_cond" + "transit_pass" ] }, { diff --git a/charts/rick.py b/charts/rick.py index 60f9b7b..a3a204a 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -23,6 +23,8 @@ class font: leg_font = font_manager.FontProperties(family='Libre Franklin',size=9) + normal = 'Libre Franklin' + semibold = 'Libre Franklin SemiBold' class colour: purple = '#660159' @@ -97,7 +99,7 @@ def chloro_map(con, df, lower, upper, title, **kwargs): props = dict(boxstyle='round', facecolor='w', alpha=0) - plt.text(0.775, 0.37, title, transform=ax.transAxes, wrap = True, fontsize=7, fontname = 'Libre Franklin SemiBold', + plt.text(0.775, 0.37, title, transform=ax.transAxes, wrap = True, fontsize=7, fontname = font.semibold, verticalalignment='bottom', bbox=props, fontweight = 'bold') # Adding the Legend Title @@ -118,17 +120,17 @@ def chloro_map(con, df, lower, upper, title, **kwargs): cbr.ax.yaxis.set_tick_params(width=0.5) cbr.ax.tick_params(labelsize=6) # Formatting for Colorbar Text for l in cbr.ax.yaxis.get_ticklabels(): - l.set_family("Libre Franklin") + l.set_family(font.normal) if unit is not None: if 0 < upper < 10: - ax.text(0.829, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + ax.text(0.829, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left') elif 10 <= upper < 100: - ax.text(0.839, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + ax.text(0.839, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left') elif 100 <= upper < 1000: - ax.text(0.851, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + ax.text(0.851, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left') elif 1000 <= upper < 100000: - ax.text(0.862, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = 'Libre Franklin', verticalalignment='bottom', ha = 'left') + ax.text(0.862, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left') else: pass @@ -139,6 +141,7 @@ def line_chart(data, ylab, xlab, **kwargs): ymax = kwargs.get('ymax', int(data.max())) ymin = kwargs.get('ymin', 0) + baseline = kwargs.get('baseline', None) delta = (ymax - ymin)/4 i = 0 @@ -151,27 +154,24 @@ def line_chart(data, ylab, xlab, **kwargs): fig, ax =plt.subplots() ax.plot(data ,linewidth=3, color = colour.purple) - + ax.plot(baseline ,linewidth=3, color = colour.grey) + plt.grid() ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) ax.set_facecolor('xkcd:white') plt.xlabel(xlab, fontsize=9, fontweight = 'bold', horizontalalignment='right', x=0, labelpad=10, - fontname = 'Libre Franklin') + fontname = font.normal) ax.grid(color='k', linestyle='-', linewidth=0.2) plt.ylabel(ylab, fontsize=9, fontweight = 'bold', horizontalalignment='right', y=1.0, - labelpad=10, fontname = 'Libre Franklin') + labelpad=10, fontname = font.normal) fig.set_size_inches(6.1, 4.1) - month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', - 'Jan\n2018', 'May', 'Sept', - 'Jan\n2019','May',] - plt.xticks(fontsize=9, fontname = 'Libre Franklin') - plt.yticks(range(ymin,int(4.1*yinc), yinc), fontsize =9, fontname = 'Libre Franklin') + plt.xticks(fontsize=9, fontname = font.normal) + plt.yticks(range(ymin,int(4.1*yinc), yinc), fontsize =9, fontname = font.normal) props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple, linewidth = 2, facecolor = 'w', alpha=1) - ax.set_ylim([ymin,int(4*yinc+ymin)]) fig.patch.set_facecolor('w') @@ -208,21 +208,21 @@ def tow_chart(data, ylab, **kwargs): plt.grid() ax.set_facecolor('xkcd:white') - plt.xlabel('Time of week', fontname = 'Libre Franklin', fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold') + plt.xlabel('Time of week', fontname = font.normal, fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold') ax.set_ylim([ymin,upper]) ax.grid(color='k', linestyle='-', linewidth=0.2) - plt.ylabel(ylab, fontname = 'Libre Franklin', fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold') + plt.ylabel(ylab, fontname = font.normal, fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold') fig.set_size_inches(6.1, 1.8) ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) - plt.yticks(range(ymin,upper+int(0.1*yinc), yinc), fontsize =9, fontname = 'Libre Franklin') + plt.yticks(range(ymin,upper+int(0.1*yinc), yinc), fontsize =9, fontname = font.normal ax.set_xticks(range(0,180,12)) ax.set_xticklabels(['0','12','0','12', '0','12','0','12', - '0','12','0','12','0','12'], fontname = 'Libre Franklin', fontsize = 7, color = '#777777') + '0','12','0','12','0','12'], fontname = font.normal, fontsize = 7, color = '#777777') ax.xaxis.set_minor_locator(ticker.FixedLocator(list(range(12,180,24)))) ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['Monday','Tuesday', @@ -237,6 +237,8 @@ def tow_chart(data, ylab, **kwargs): def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): + data = data_in.copy(deep=True) + data.columns = ['name', 'values1', 'values2'] xmin = kwargs.get('xmin', 0) @@ -262,8 +264,6 @@ def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): upper = xmax else: upper = int(4*xinc+xmin) - - data.columns = ['name', 'values1', 'values2'] ind = np.arange(len(data)) @@ -280,7 +280,7 @@ def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): ax.set_yticks(ind+0.4/2) ax.set_xlim(0,upper) ax.set_yticklabels(data['name']) - ax.set_xlabel(xlab, horizontalalignment='left', x=0, labelpad=10, fontname = 'Libre Franklin', fontsize=10, fontweight = 'bold') + ax.set_xlabel(xlab, horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold') ax.set_facecolor('xkcd:white') j=0 @@ -289,22 +289,22 @@ def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): data[['values1', 'values2']] = data[['values1', 'values2']].astype(int) for i in data['values2']: if i < 0.1*upper: - ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = 'Libre Franklin', fontsize=10) + ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10) else: - ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = 'Libre Franklin', fontsize=10) + ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10) j=j+1 j=0.4 for i in data['values1']: if i < 0.1*upper: - ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = 'Libre Franklin', fontsize=10) + ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10) else: - ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = 'Libre Franklin', fontsize=10) + ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10) j=j+1 ax.legend((p1[0], p2[0]), (lab1, lab2), loc=4, frameon=False, prop=font.leg_font) - plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = 'Libre Franklin', fontsize =10) - plt.yticks( fontname = 'Libre Franklin', fontsize =10) + plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10) + plt.yticks( fontname = font.normal, fontsize =10) if percent == True: data_yoy = data @@ -312,8 +312,72 @@ def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): j=0.15 for index, row in data_yoy.iterrows(): ax.annotate('+'+str(format(int(round(row['percent'],0)), ','))+'%', xy=(max(row[['values1', 'values2']]) + 0.03*upper, j), - color = 'k', fontname = 'Libre Franklin', fontsize=10) + color = 'k', fontname = font.normal, fontsize=10) j=j+1 + return fig, ax + + def bar_chart(data_in, xlab,**kwargs): + + data = data_in.copy(deep=True) + + data.columns = ['name', 'values1'] + + xmin = kwargs.get('xmin', 0) + xmax = kwargs.get('xmax', None) + precision = kwargs.get('precision', 0) + + xmax_flag = True + if xmax == None: + xmax = data['values1'].max() + xmax_flag = False + + delta = (xmax - xmin)/4 + i = 0 + while True: + if delta < 10: + break + delta /= 10 + i += 1 + xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i))) + + if xmax_flag == True: + upper = xmax + else: + upper = int(4*xinc+xmin) + + ind = np.arange(len(data)) + + fig, ax = plt.subplots() + fig.set_size_inches(6.1, len(data)*0.7) + ax.grid(color='k', linestyle='-', linewidth=0.25) + p2 = ax.barh(ind, data['values1'], 0.75, align='center', color = colour.purple) + ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) + + ax.xaxis.grid(True) + ax.yaxis.grid(False) + ax.set_yticks(ind) + ax.set_xlim(0,upper) + ax.set_yticklabels(data['name']) + ax.set_xlabel(xlab, horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold') + + ax.set_facecolor('xkcd:white') + j=0 + + if precision < 1: + data['values1'] = data['values1'].astype(int) + + j=0 + for i in data['values1']: + if i < 0.1*upper: + ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10) + else: + ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10) + j=j+1 + + + plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10) + plt.yticks( fontname = font.normal, fontsize =10) + return fig, ax \ No newline at end of file From 11a8d76d089a12df83d7ce652c92f2f1ee06b203 Mon Sep 17 00:00:00 2001 From: Rick Liu Date: Tue, 16 Jul 2019 11:27:52 -0400 Subject: [PATCH 18/31] fixed issues with seaborn and fonts --- charts/module_test.ipynb | 583 ++------------------------------------- charts/rick.py | 19 +- charts/setup.py | 3 +- 3 files changed, 47 insertions(+), 558 deletions(-) diff --git a/charts/module_test.ipynb b/charts/module_test.ipynb index 5ebea76..78535e6 100644 --- a/charts/module_test.ipynb +++ b/charts/module_test.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 220, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 221, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -43,7 +43,7 @@ }, { "cell_type": "code", - "execution_count": 222, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -84,7 +84,7 @@ }, { "cell_type": "code", - "execution_count": 223, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -93,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": 224, + "execution_count": 5, "metadata": { "scrolled": false }, @@ -116,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 225, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -148,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 479, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -180,57 +180,7 @@ }, { "cell_type": "code", - "execution_count": 226, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax =plt.subplots()\n", - "\n", - "purple = '#660159'\n", - "\n", - "ax.plot(total.index.values.tolist(), total['count'] ,linewidth=3, color = purple)\n", - "plt.grid()\n", - "ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))\n", - "\n", - "ax.set_facecolor('xkcd:white')\n", - "\n", - "plt.xlabel('Month', fontsize=9, fontweight = 'bold', horizontalalignment='right', x=0, labelpad=10, \n", - " fontname = 'Libre Franklin')\n", - "ax.grid(color='k', linestyle='-', linewidth=0.2)\n", - "plt.ylabel('Trips per Day', fontsize=9, fontweight = 'bold', horizontalalignment='right', y=1.0, \n", - " labelpad=10, fontname = 'Libre Franklin')\n", - "fig.set_size_inches(6.1, 4.1)\n", - "\n", - "plt.xticks(range(0,35,4), total['period'], fontsize=9, fontname = 'Libre Franklin')\n", - "plt.yticks(range(0,250000,50000),fontsize=9, fontname = 'Libre Franklin')\n", - "\n", - "props = dict(boxstyle='round, pad=0.4',edgecolor=purple, linewidth = 2, facecolor = 'w', alpha=1)\n", - "plt.text(0.0, 0.27, '62,200', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", - " verticalalignment='top', bbox=props, color = purple)\n", - "\n", - "plt.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", - " verticalalignment='top', ha = 'center', bbox=props, color = purple)\n", - "\n", - "ax.set_xlim([0,32])\n", - "ax.set_ylim([0,200000])\n", - "fig.patch.set_facecolor('w')\n", - "plt.show() " - ] - }, - { - "cell_type": "code", - "execution_count": 481, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -250,38 +200,27 @@ }, { "cell_type": "code", - "execution_count": 228, + "execution_count": 9, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.94, 0.96, '176,000')" - ] - }, - "execution_count": 228, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", - " verticalalignment='top', ha = 'center', bbox=props, color = purple)" + "# fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", + "# verticalalignment='top', ha = 'center', bbox=props, color = purple)" ] }, { "cell_type": "code", - "execution_count": 229, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] }, - "execution_count": 229, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -292,7 +231,7 @@ }, { "cell_type": "code", - "execution_count": 230, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -325,83 +264,18 @@ }, { "cell_type": "code", - "execution_count": 231, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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RJ+4M6OLpik5DQ9Cqsz+c3V1QmleCtLiruHT0gqgTZWrMFSzo/ybm7p0Pvy4BquRGRERERERE1JiV5Bbjywkf4/Kxi9UeV5Cej4Uj38O9nz+Ckc/cXkfZEZGtO3dAabEgRxDLEdijDVJj5Y8TTou7iuDBISpmRGQ74rZFK9rfdUwoHJ1ZlmENEVP7YtW/l6FcwRSqE6sOo02vduolRUTUCPC3kgQnJye0acMW5w3Rjh07RGuDBw8WdYWTY8yYMWbFgpXns0axoMFgwP79+yVzUCowMBDdu3dHQoL5C/IdO3Zg5syZNe6Pjo4WFWRqtVqMHDlScW4jRoyAo6MjysvLb6ylpaUhJiYG4eHhNe6X+v5369bNoiLImowZM0ZULLh3714YDAZZo5fJMs7uLnV6viFPjoSrp6tq8eqiWLB5+xay9pXkFmPJhE9EhYIOWgeMmHM7bn95Inz8fEX7DGUGHP7pIDa/uQ6leSU31ssN5fjpoa/gu78JOvTvJCunSpdPXMT3D3wpKhR093XHpHemYdDjI+DsJv65K7iej10fb8GBL3eZFQ3mp+Xiq4mf4OWj78CzmZei3IiIiIiIiIgau58f+7bGQsFKgknAmmd/hpOrE4Y8qfz9PyKyb0a9ERf/OqcoRsgoFgvKERim7HOS1NgUFgsSSRAEAfE7lBULht3BEcTW4ubjjrA7eyLq95OyY5xcfRRTFzwABy272hKR/WCxIDUqUgV2anV+k4qTlJSE5ORk1cdNHz9+HMXFxWZrDg4O6Nevnyrx+/fvLyoW3L9/v0XFglL3cdeuXeHrKy4qqi0fHx907doVcXFxonNaUiwolZuS0cg369u3L7RaLSoq/mkjXlRUhJMnT2LQIGUtrKlq0z57CNM+e0j1uIIg4J0eL+NaQuqNNa8W3pj0zjRVzyNVLPjioTfRaUj9v6ny40NfIeO8eeGvq7cb/r3h+WqvznV2c8aI2WMRPqk3vrzzY1yLT7nxNaPOiKVTP8fbCR/Do4mnrLxK8oqx9K6FMJYZzNb9uwXiPzteQdPWzarc6+Pni3sXPozwSb3xzdSFKM3/ZzRG5sUM/PjgEjy781VZeRERERERERHZgsvHLyJm8+maD7zFyqd/hHsTD/S+R533J4nIPl06ekFykoilfAOaoFVnfxUzsh9BPZQ1QUlT0JWQyJalRF9B/rU8RTFC7+ipUjYkpe/0QYqKBfPTcnHhz0R0Gd5NxayIiBo2lkdXoaysDFlZWcjLyzPrgkb1JyUlBVlZWaL1nj3V+QOrY8eOkiOApcbeKiUVMzg4GJ6e8opvbhURESFaS0hIgMFgkDi65tx69VLvihepWJGRkTXuMxgMogLIquLJ4enpiU6dxN3SrPH9J+uL3RppVigIAHd/Mh0eTdX5GaskVSwYEBqk6jnkOLbiLyTsjDFb0zppMXvzixaP8Wjauhnm7p2PZu3MOxsWXs/H+pdWyc5t/UurUJCeb36uNs3x/L7Xqy0UvFmX4d0we/OLcHRxMls/szsOx1b8JTs3IiIiIiIiosZu2/sbZO0TTAJ+fHAJzuyJq/lgIqIqnNuvbARxyKju0Gg0KmVjXwLDlBULpsaxWJBIStw2ZZ8TtundXnLKE6kn7I6ecPNRNoXwxMrDKmVDRNQ42H2xYH5+PjZu3Ij33nsP06dPR79+/RAaGoqIiAgMHToUAwcORFhYGMLDwzF8+HDMmjULixcvxsGDB2E0yr86imovJiZGtKbVaiULvOTQaDQIDg4WrVujWEzqtnTp0kW1+FL3icFgwJkzZ6rdV1FRgfj4eKvm1rlzZ9FafHy8WUc/KQkJCZI/c9a+31gs2PgYdQasfe4Xs7UuI7phwCNDVT/XrcWCWict3H09VD9PbRhK9fjtxRWi9Ylv34POQ7vWKpZ3Sx88vnK2qPX6kWWHkHzqUq1zSz6ZhCPLDpmtaRw0eHzFv+HdyqdWsYIHh2DSO/eI1n97cQUMpfpa50ZERERERETU2JXmlyBhZ6zs/RXGCnwzdSEuH7dshDER0a0SDygrFrT0QmcS8/H3hUcz+RfLp8WlwGQyqZgRkW2I267sc8Kw8ewqaG1Ors6ImNpXUYzI9cdh1LP2g4jsh90WC546dQrPPvsshg4dildffRUrV65EVFQUCgoKUF5eDkEQzP7p9Xpcv34dhw4dwtKlS/H0009jyJAheP/995GcnFzfN8cuJCYmitYCAwPh7Oys2jmkxg1LnVcpqZgdOnRQLX5QUBAcHcVTxs+ePVvtvuTkZJSVlYnW27dvr1puUvdxaWlpjT9HUveZk5MTWrdurVJmdff9J+va8eFmZF/+pwupg9YB9y16xCrnurVY0LO5V71f+frn9/tRlFlottaiYyuMffFOWfE6DuiM/g8PMVsTBAE7F2yqdawdH26CIAhma/0eGozgwfLGNo+eewdadvIzWyvKLMRfPx6UFY+IiIiIiIioMYvfHg1TefUX5NZEX6LH4js+Qlp8ikpZEZG90BXrcPl4kqIYISNZLCiXRqNRNIpYX6xDTrJ4uheRPSvMLECywue1sDvVm95GVeszfaCi/aX5pUjYEa1SNkREDZ/dFQsWFRVh/vz5ePjhh7F7924YDAazokCNRlPtv5uPzc/Px4oVKzBp0iQsXbq0xs5opMy1a9dEa35+fhJHyicVT+q8Suj1euTk5Fh0brm0Wi1atGghWq/ptlT1dTVzqyqWnNxatmwJBwf1nsakcsvJyYFezy5ljUXWpQzs/mSL2drgx0coHsFQleIc82JBrxbiUeZ1yVRhwp6F20Xrt8+bCK2TuIDYUuPnTxYVQUZvPIWMC+kWx7h+7hpiNp02W9NoNBj/6mTZeWkdtbh93kTR+t6F23gVLBEREREREdmd6E2nVIlTmleCL27/ENmXM1WJR0T24eKfiYoKllsGt0LTNs1VzMj+KH0fPC2Wo4iJbha98ZSoAUJteLXwRts+6jWLoap1Gd4NPv7Kxj2f+PWIStkQETV8dlUsmJaWhilTpmDDhg1VFgdWurWzYCWp4kGDwYDFixfjwQcfRHFxcX3cNLsgVSwmVRCnRMuWLUVr2dnZMBgMqp3j2rVrkn9Y1sVtkVssKBVLrqpiycmtLu4zQRBULxgl61nz7C8w6v5pE+7q7YZJ706z2vlEnQVbeFntXJY4d/AM8lLMi5Gd3V3QV+EVVS2D/dB5uPkIY8Ek4MTKwxbHOL7iL9FzX6ehIfDrEqAot74PDISLh4vZWs6VbFz4g11BiYiIiIiIyH4YdQbE74hRLV5Bej4Wjf0QBdfzVYtJRLYtcR9HENc3JZ0FASA1ll1liW4W9fsJRfu7jw9XtekJVc1B64Db7hugKEbslkiUFZaqlBERUcNmN7+drl+/jkcffRRpaWlmRYKAuDBQqpCrqmNuLhqMiYnBzJkzJce4knKZmeIrWb281C3MkYonCILkueWqKpa3t7odyaRuS023Q+rrLi4uqo56dnFxgZOTkyq51cX3v6pzU8Nzdm8c4rZFma2Nef5Oq3b7u7VYsL47C55ee0y01u32HnDxcFUcu+eUPuLzrTtu8f7Tv4mP7XWXOGZtObu7oNvtPUTrp9YcVRybiIiIiIiIqLFI3J8AfbFO1ZhZSRlYPG4BSvNLVI1LRLYp8YDCYkGOIFYsUGGxYFocOwsSVSrJK0bi/jOKYoTdwRHEdanfg4MU7TfqjIjeoE6nbiKihs5uigXnz5+P1NRUyXHCct1aNCgIAqKiorBgwQK10qablJaKK/k9PDxUPYenp6fkuk6n3httVRWTqn1bpOLVVMhaF/cxIH0/N4Tc6uL7T9ZhMpmwft4qszXP5l4YPXe8Vc8r6izYvH6LBWO2RIrWQlR6ky1klDhO+tk0i0YRXz93DRnnxMeFjApVJ7eR4jixEvcFERERERERka2K3midDzZTY69iycRPYCjVWyU+EdmG4pwipEZfURSjy4huKmVjvwK6BULjoKn5wCqkcgwx0Q2xmyMVjVZ30Dqg29gwFTOimrSJaI9Wnf0VxTjxq+UTtYiIGjPH+k6gLmzfvh1Hjhwx6yQo5eYxxFWpquvgzUWI69atwz333IOwMP4BoCapgi2pDnVKODpK/0io2S2yqlhq3xapeDUVvdXFfQxI388NIbe6+P6TdRxf8RdSbnkzatwrk+Dq5Wa1c5oqTCjLNy9i9arHMcTZlzNRKDEaqOOATqrE9+8aCHdfd5TecpsvHbmAVp2qf/GVdOS8aM3Nxx3+3QJVya3jQPFtzL+Wh5wrWWjWVt1x5VKMRiNSUjiioyGqHCPPcfJkLXyMkbXxMUbWxscYWRMfX2RtfIz9w1RhQtTGk1aLn3T4PBZNWIB7v38EWme7+EgBAB9jZH229Bg7uz1OUXOOliF+KNAXoiClUMWs7FPT9s2Rk5Qla2/mxQxcOp8EJzf1pk2RbbOl57FbHV55SNH+Nv07IKcoFzlFuSplZJ9q+xjrMiEUGQtrbnJRlbN743H29Bl4tqy/z/uo7tjycxipJyAgAFqttr7TUJ1dvLJfuXLljf+WerFya5FgdcfcfOzNx1UWDFb+948//ohFixYpS5zM6PXiq1erKu6Sq6p4UueWq6pYaj/ByCnIq4v7GJBXyFif3392FmzYjDoDNr2xzmzNu5UPhj09xqrnLcktFv2+8KzHMcSXjl0UrTloHeDfPUiV+BqNBv7dg5B02Lzw79LRCxjw6NBq916WyC0gNMiiIn1L+HUNhIPWAaYKkyi3uigWvJx8Gf3797f6eUi+qVOn1ncKZOP4GCNr42OMrI2PMbImPr7I2vgYA5oYvDEox7pj7pIOnsOcsCcR5XsWUOflfKPBxxhZmy08xkILgtEO8i8MPpZyCj/x/TVVROR1RQBaytssCJgw6E4UOBfVfCzRTWzheexmWpMWYzMGQqtgSOOWuO1Y0v9HFbOyb5Y+xjzK3TACfWWfRzAJeGLUDCR7pMmOQY2PrT2HkbqioqLQsqXMv60aMJsvFszMzERkZKRkQcKtnQY1Gg38/PwQFBQEd3d3uLq6wmAwoKysDDk5Obhy5QoMBsONY6U6FVZ2Fzx06BAMBgOcnXn1jVq0Wi1MJvNCkIoK+e2fpdwav5KaHeyqKkir6txySd03Nd0OqdzUvo+rillTblLFlHX1/efPccO274udyEvJMVsbPfcOOFv56sdbRxADgFc9FgumxojHfDRr1wJOLuo9f7Xq5C8qFkyROK8oN4nxFX5dAlTLy8nFCU3bNEP2ZfMrZlOir6DP/QNVO09V2rdrj4/2LbH6eaj2rl27hqlTp+L3339HQIB6jzmiSnyMkbXxMUbWxscYWRMfX2RtfIz9Y98H23H0W2XdbywRqGuJSaMnYdx7U1S7ALAh42OMrM2WHmNLR34qu5sdALyy+DV0Hs0xxGr4c/E+HPpst+z9C+a9j173yy+0IftiS89jN0vYHI0Nz/wqP4BGgx/3/cLudCqQ8xj7adKXuBaTKvucYzuMwGOb5sjeT42HrT6HkbqaNWtW3ylYhc0XC8bHx9/o+ndrUR/wd6HfyJEjcdddd2HQoEFwd3evMpYgCDh37hwOHjyItWvX4tq1a6JOg5X/r9PpEBkZyU5DKnJzc4PRaDRbKy8vV/Uct8av5Orqqto5qopV1bnlkrpv3NyqH8kqlZva93FVMWvKTerraudWVTw1v/+kLl2xDrs/3Wq25tHUE8OeHm31c0sVC3reMobYUKpH9KbTuPhnIi6fuIjC6wUozS9FuaEcrp4u8PFvgpad/dChfyd0G9sDbXq1k51P7tVs0VqToKay40mRipdzRXxeS45ROzffIHGxoNR9Yg1OTk5o3bp1nZyL5AkICOD3iKyKjzGyNj7GyNr4GCNr4uOLrM3eH2OCICBpX2Kdne/0imNo1dYPk9+9t87OWd/s/TFG1tfYH2N5abmKCgU1DhoMnDoEbj5Vfz5Hlus+JExRsWBZanGjfjxS/Wjsz2O32n5ovaL9wYM6o2tvFkCrqTaPscEzRmDt3OWyz3UtOgUueie0DPaTHYMaF1t7DiOyhM0XC2ZmZpr9/81Fgp6enli0aBEGDx5sUSyNRoOQkBCEhITgiSeewLfffoslS5ZIdhgEgOvXr6twC6iSi4uLaK20tFTVc1QVr6ZCttqoqvCsLm5LTUVvUl9XO6+qYjaE3EpKSiTX1fz+k7oOfLkLJTnFZmvDZ4+Fq5f1v2fVdRa8npiGPQu349SaY9AVlUnuL80vRWl+KdLPpiFm02lseHU1AkJbY9Sz4zBwxjA4aGvX3l6qIM/H37dWMWriE9BEtFaUUQCj3lhlB0Oj3oiijAKJ3MSxlPANEN9WSwoZiYiIiIiIiBqz9LNpyLyYUafn3P7+RrTq7I/+Dw+p0/MSUcN07sAZRfvb9enIQkEVBYYpK3ZIjUtRKROixslQqkf89hhFMXpNZXfO+nTbfQOw7oUVEExCzQdX4cSqI5jwJkfTEpHtql0lQiNUWFgoWqvsALh48WKLCwVv5ejoiNmzZ+O1114TFQlWysnJkVwneZo0EReWSH1/lSguLpZcb9pUvQ5Yvr7SxTtFReLCIyWk4tV0O6RyKy0tVbWDX3l5OcrKxMVTcnKrq++/1GOP6p+uWIc9C7eZrTm5OmH47DF1cn6pYsH47dH47r4v8HboPPz1w4EqCwWrci0+Bcuf/B7v9nxFcnRvdQqu5YnW1H6TTSqeIAgoSM+vOq/0fMnfk26+KufmLY4ndZ8QERERERER2ZLojafq5bxrnvsFhRIXBxKR/UncH69of5cR7L6lpqZtmyu6mD4t9mqVn3sS2YOEXbEwlOoVxYiY2kelbEgOHz9fhIwKVRTjxK+H+VxIRDbN5osFby4wqhxFrNFoMGzYMAwcOFBx/IceeghhYWFmI4grabVaxfHpH1Jz4tUuyMzOFneh8vb2hqenp2rnqGrevdS5lZC6b6o6d01fV/N+riqWnNzq4vsPAIGBgaqeh9Qh1VWw34OD4d3Sp07OL1Us+NtLK3F63XFFVysBwLWEVCzo/waiN1n+hr++RPziVe0Oi27e0vGqe+FskMgLAFy91B3v7SqRm6HUoOo5iIiIiIiIiBqamFq8d6Cm0rwS/PbSyno5NxE1HIIg4Nx+ZZ0FQ0Z2VykbAgAHBwdF3QVLcouRz4uwyY5F/n5C0f52fTqgaZvmKmVDcvV9QFkdSMa5dFyNvKxSNkREDY/NFws2by79y3jUqFGqnWPChAmS682aNVPtHCRdLKb2qOeMDPHIDrULxZo2bSo51lbt23LrCG6g5ttSVcGemrlJ3ccAEBQUVO0+qdyqiiWXVDxvb294eXmpeh5SzlBmwN7Pt5utaTQajH7+jjrLoSiz5s6WTVo3w9CnRuHfG1/A2wmfYGH2d/ha/ws+vvY1Xjn2DqZ+9ADa9ekgudeoM+K7e7/A2b1xFuUjVRindXa0aK+ltE7SRfDVFeVVVUjoWAe5Kb36j4iIiIiIiKghy0vNQfLJS/V2/pO/HkFeKqfrENmz7EuZyL0qvxGCo7MjOg7qomJGBCgfRZxWy6k3RLbCqDcidkukohgcQdww9JraB44uTopinFh1RKVsiIgaHpsvFuzRo4dkhz81C8DatWsnuR4SEqLaOQjo2LGjaC0lJUXVEblXrlyx6LxKdeggLg5KTk5WLX5GRobkqN/g4OBq93Xo0AEODuKnhcuX1btyQup2Ojo6om3bttXuk/o+6HQ6pKenq5VanX3/SbmjP/8h6uzXdUwo/LvWXRfIgNCgKl9otOndHjPX/AcfXP4CDy59HOGTesO/ayA8mnpC6+QIHz9ftO8bjNtfmohXj7+H53a/imbtWojiVBgr8ONDX6HgetVjfisZdRLFgo7q/pqvqljQWFZ1saBRZ5Rcd3BUt/uu1klcfGioJi8iIiIiIiKixi5ms7IPs5UyVZjwx7f76jUHIqpfZ/cpG0HcYWBnOLs5q5QNVQrq0UbR/lQWC5KdStwXD12h+PPV2oi4m8WCDYGbtzt6TOylKMbJ1UdgqjCplBERUcNi88WCzZs3R9++fUUz5U0m9Z7YpYqr/P390alTJ9XOQX8Xft7KaDSqWmR38eJF0VqvXsr+kJASHh4uWjt//rxq8aVuh4ODg+R5b+bp6SlZyKhmbklJSaK1Ll26SHZbvFlVuVv7frPG95+UEQQB+xbtEK0Pe3pMneYx+PEReDvhY4RP7n1jrXmHlpi59lm8dvJ99J7WX/L3g5Suo8PwRtSH6DKim+hrRZmF2PzGuhpjaCWK79R+EVNVvOq6BDpUUbBYF7mp3b2QiIiIiIiIqCGJrqcRxDf78/v9MOqlLxQkItt37kCCov0cQWwdgQqLBdPiWCxI9ilq/UlF+4N6tEHLYD+VsiGl+k0fpGh/QXo+zh86q1I2REQNi80XCwLAzJkzRWtqdkq7evWfP5oFQYBGo8F9992nWnz6W0hICFxcXETrUVFRqsRPT0+XHN3bs2dPVeLfTKrwLTExETqdTpX40dHRorXg4GB4enrKyk2t+xiQzs2SgrymTZuidWtx6/zISHWuoDYajThz5oxo3Rrff1ImdmskMs6bd5Rs2qY5ekyIqPNcWnRohX9veAHP7X4V0z57CG8nfILe9/STFcvNxx1Pb3geAd3FI7mP/O8QclOqH+vj7C6+ArfCWCErl6pUFU/q3P98Tfy8XV0suaTiVXVuIiIiIiIiosauNL8E5w6I38uqa0WZhYj87Xh9p0FE9UAQBJzbr+x5iMWC1hEYqnAMcVyKSpkQNR4V5RWI3qzsQgyOIG5Yuo/vCXdfd0UxTqw8rFI2REQNi10UCw4YMAB33XXXjUI+ANixQ9yVSq5bYzVr1gyPPPKIavHpb87OzujXT1yEc/ToUVXiHz8uflOrRYsW6NZN3OlLqUGDBok6jhmNRpw8qeyKlUpSt2Xo0KEW7R08eLBoLS4uDsXFxYrz0uv1iImJUTW3Y8eOKc4L+LuIUa/Xm605OTlhwIABqsQn9exduF20NmTmSDho6+9XWtfRYRg99w44VTGW2FJu3u6474tHReumChNOrj5S7V4niXEd+mJ1CpBrilddUV5VY0TqIrfqihiJiIiIiIiIGrP47dEwlcu/EM/R2RH3fv6wKrkcWLJblThE1Lhci09BUVah7P0unq5o10c86YiUc/NxR7N2LWTvTz97DeWGchUzImr4zh86i5IcZZ+FcgRxw+Lk4oSIu+U1+KgU+fsJGHUGlTIiImo47KJYEADefPNNdO3aFYIgQBAEREVFYdeuXYrj7t+/H6dOnYJGo4EgCHB0dMTChQtrHKlK8owfP160dujQIVGRlxz79+8XrY0bN87iMaK10aJFC9x2222i9T179iiOXVBQINlt784777Ro/4gRI0SPX6PRiIMHDyrO7ejRoygrKzNb8/X1xaBBlrWBlvr+x8TEICMjQ3FuUt//IUOGwNvbW3FsUk9a3FVRy28HrQMGzhhWTxmpL2Rkd7TvHyxaP7snrtp9Hs28RGulBaWq5QUAZQVlkuueLcTnruTRTLqjaVm+yrkViuN5tuDPLxEREREREdkmpSOIQ0aHYtSz43H3x9MV53L5+EUkn0xSHIeIGpfE/cpGEHcaGgKtk6NK2dCtghSMIjaVV+B64jUVsyFq+JR2Sm7VxR/+3QJVyobU0nf6QEX7ywpKEbddPDWPiKixs5tiQTc3N3z77bdo3rz5jcK+V155BYcPy28de/XqVbz++us34mk0GsybNw99+/KqAWsZPXo0XF1dzdaKi4sVd4rMz8/HgQMHROuTJk1SFLc6EyZMEK1t27YNJSUliuJu3boVRqPRbK1jx44Wd0h0c3PDqFGjROtr165VlBcA/P7776K18ePHw9HRsmVZVA0AACAASURBVDcE+vTpAz8/P7M1QRCwbt06RXmVl5djy5YtovWJEycqikvq++PbfaK10Dt6wjegST1kYz2h48Tjr1Oir1S7p1nb5qK1oowC1XICgEKJeO6+7nDzrrqNu2czL7h4iDsPSsVSQuq2St0nRERERERERI2dUWdA/A7x9I7a6Dn57wuZx744AbfPU/4e2MGvlV8ETUSNi9JiwZARHEFsTYFhykYRp8ZeVSkToobPVGFC9EZlF2JETO17Y8IhNRydhnZV/BnimV2xKmVDRNRw2MUlO9u3b0dsbCwEQYCXlxeys7Oh0WhQVlaGJ598EgMHDkRoaKjFBUuVNmzYgNzcXLNf/CkpKViyZIlF+0NCQjB69OhandPeeXt7Y9q0aVi+fLnZ+nfffYeJEydCq9XKirt8+XIYDOYthG+77Tb06NFDdq41mTx5Mr744gvk5OTcWCsuLsby5csxa9YsWTHLy8vxv//9T7T+2GOP1SrOY489hq1bt5qtHT9+HJGRkYiIiJCV25UrV7B3716zNQcHB8yYMcPiGJXHL1iwwGx9xYoVmDFjBjw9pTuY1WTz5s3IysoyWwsKCsLtt98uKx5Zh6FUj+MrxQXegx4bXue5WFv7fh1Fa8XZRTDqDHBylR6t27SNuDAuLzVX1bzy08TxLBln0bRtc6SfSTNby0vNqeJoefLT8kRrzdrKH7VBRERERERE1FAl7k+Avlgne79Go0GPif+8xzfpnWk4tvxPFKTny455cvVR3P3xdHixyz+RXagorxBNgKmtLiNZLGhNSjoLAkAaiwXJjiQdOa+4wQFHEDdMDloH9Ll/IPYs3CY7xuXjF1XMiIioYbCLYsFXXnlF1GmtshOgyWTC4cOHZXUYrIwhCMKN/1+xYoXF+52cnBAby0r02nrsscewevVqs+9pUlISfv7551oXxQFAeno6li1bJlp/6qmnFOVZE1dXV8yYMQOfffaZ2fp3332HCRMmICgoqNYxV6xYgatXzV/A+fv7Y/LkybWK0717dwwePBh//fWX2fq7776LtWvXwsnJqda5ffTRR6ioqDBbGzduHNq1a1erOPfeey+++eYb5Of/8+ZlXl4ePv/8c7zxxhu1zqu4uBiLFy8WrT/xxBOyi0/JOk6uOYqyW8bqejb3QtidveopI+up6o310vxS+PhJFwv6dw0QrWVfykRFeQW0juo8ljMvXhef14K2+v5dA0XFghkXxLHkMplMyLqUKSs3IiIiIiIiosZGaeebDgM6wcfP98b/Ozo7YsjMUdj63/WyY5brjTj840GMe8V6k1qIqOG4GnkZusIy2fs9mnoiKFxZMRtVT3FnwTgWC5L9iFx/QtH+Zu1aoHWvduokQ6rrO11ZsWBWUoaK2RARNQx2MYa4smOcIAg3CvsqVRb7yfkn1Uq4NvtvLWAkywQEBODxxx8XrX/++ec4ffp0rWIZjUa89NJLotG/I0aMwNChQxXlaYlHHnlEVCxXUlKC5557DmVltXuhfebMGSxatEi0/uqrr8oq7pPad+bMGXz44Ye1jrV69Wrs22c+Ptbd3R0vvvhirWN5eHhI7lu5cqWscdRvvfUW0tPTzda6deuGadOm1ToWWdef3+8XrfWe1l+1QriGxMXTteaDbtG+X7BordxQjozz6RJHy3NrwR8AdOjfqcZ97fqKOyVei0tRJSfg7xdq5Xrx79QOA2rOjYiIiIiIiKgxMVWYELO5du+B3ip8cm/R2tCZI+Gg8D2Wg0v3oKK8ouYDiajRS9ynbARxlxHd4OBgFx9R1psWwX5wdJHfM4adBcleCIKAqA0nFcXgCOKGrXWvdvALETfcsJS+RA+dgq7eREQNkV39Ja7RaMx+UVcWDlau1/bfzTFuPYcle0m+2bNno2NH8+ITg8GAp556CsePH7coRmlpKZ555hmcPGn+B6CHhwfefvtti3O5++670aVLF7N/U6dOtWivq6sr3n33XdFjIi4uDjNnzkRBgWUtr+Pj4/HEE0+ICgzHjBkje5RucHAwnn76adH6ypUrsWDBAlGXwKqsX78e77zzjmh97ty5CAyU1/Vr2rRp6N+/v9maIAiYN28etm2z7MqQ8vJyvPnmm6Jxy46Ojnj33XdrPZacrCvjfDouHxO3+e734KB6yMb6irOLJNfdfd2r3BMU3hZOruLC4EtHLqiSU25KDvKviUf9WlKQJ1VQWJRVKNmpUA6px4artxs7CxIREREREZHNuXz8IooyCxXF6DnlNtGaj38T9J7WT1HcvJQcxG6JVBSDiBqHcweUFQuGcASx1WkdtWjRuZXs/QXp+SjKUvb7hqgxSD6ZhLyUHEUxet3dR6VsyBo0Gg26je2hKEaRwjHVREQNjV0VC0p1FpTbVVAqlqXx7Iler6/VuqWcnZ3x5ZdfwsfHx2y9qKgI//rXv/Dee+8hM1M8khL4e1zlnj17MGXKFBw4cMDsa1qtFp9//jn8/PwsziUvT1w8c/OI3Jr07dsXL7zwgmj9xIkTmDhxIjZu3FhlF8r8/HwsWrQI999/P3JyzP+Q7dixIz744AOL85Aya9YsjBgxQrS+bNkyPPDAA6JCy5tdunQJc+fOxfz580WFhRMmTMDDDz+sKLfPPvtMVGxoMBjw/PPP46WXXhKNY77Z0aNHce+992LNmjWir73xxhsIDQ1VlBup79jyP0VrTds0R8eBneshG+srSBc/h3g09YSTq/QIYuDvkUFdRnQTrSfuj1clJ6k3AH38fS1qrd++X7BkoaPSK5ArnTtwRrTWfVw4r04mIiIiIiIim6N0BHFA9yC06uQv+bURs8cqig0AB77arTgGETVsRp0BF/86pyhGFxYL1omWIdLP95ZKU3E6DFFDFbleWVdB34AmkpOfqGHx8fdVtL+QxYJEZGPYOosUyc3NxYgRI6DT1a717ttvv11l976wsDD89ttvNcbo2LEjvv76a8ycOdNsjHBFRQWWL1+OVatWITw8HCEhIfD29obBYEBaWhpOnTolKqwDAAcHB7z11lsYNmxYrW6LGp588klkZmbil19+MVvPyMjAyy+/jA8++AB9+vRBmzZt4OLigsLCQly4cAFRUVGShYT+/v749ttv4e3trSgvrVaLhQsX4vHHH0dkpPlVwTExMXjooYcQFBSEiIgI+Pn5QaPRICcnB/Hx8UhMTJSMOWDAAHz44YeKO2w2b94c33//PR599FFkZWWZfW3z5s3YvHkzunfvjtDQUDRp0gTl5eVIT09HZGSkaOxwpaeffhr333+/orxIfYIg4PjKw6L1XlNt90qt84fOitZa92pb477e0/ojfkeM2Vrc9mgYdYZqCw0tEbtV3Bmg9z39LCrIc3R2RPjk23D05z/M1qM2nMDQp0YpystUYUL8jmjRep/7BiiKS0RERERERNTQCIKA6I3KPtAOnyzuKlipw4BOaN2rHVKikmXHP7c/AdfOpCKgW5DsGETUsF06dhFGnXSDA0v4BjRBq87KitjIMi27Wt4YQ0pq7FV2gSSbJggCon4/oShGz7v6sHFBI+Djp6xYsOC65Y2CiIgaAxYLkiKlpaW1LhSsSW5ursXH3nbbbVi9ejVmzZqFtLQ0s69VVFQgMjJSVOQmxd3dHZ9++ilGjVJWtKLEa6+9hsDAQHz88ceiTnwFBQXYu3evRXHCwsKwdOlStGjRQpW83N3d8fPPP2P+/PnYsmWL6OupqalITU21KNbdd9+N//73v3ByEo9KlaNjx45Yt24dnn76aZw9Ky6uSkhIQEJCzZ3LHB0d8cYbb7BQsIG6+Nc55CRnidZ736NsNE5DJQiCZPFbpyFda9zbc8ptWDV7GYxlhhtrusIynFp7DAMeGSo7p5LcYsRuiRKt963FGOi+DwwUFQue3RuP7OQsNG8n//kqYWeM6Iou9yYeCB0fLjsmERERERERUUOUfjYNmRczFMWQGkFcSaPRYMTssfjlie8UnePgV3sw/at/KYpBRA3Xuf0KRxCP6q64mQBZRmlnwWvsLEg2LjX2KrKSlP1tFXF3X5WyIWvyauVT80HVKLzOzoJEZFvsqsxdo9E0iH+krs6dO2PTpk14+OGHodVqa71/xIgR2Lx5c70WClaaMWMG1q5di/Dw2he5uLm5Ye7cuVi1apVqhYKVnJ2d8emnn2LhwoVo1apVrff7+/tj8eLF+OCDD1QrFLw59po1a/DMM8/A1dW11vt79eqF9evXs1CwATu15qhozdvPFx0GdKqHbP5hqjAhZvNpmEwmVeOe/PWI5IvT2+7rX+Ned18PDH5cPDp810dbYKqQn+f+xTtRrje/Wjh4SAja97W8tX63sT0Q1KON2ZpgErDjg42y8wKA3Z9uFa2NmD1WcSdFIiIiIiIiooZG6Qhi38CmaNu7fbXH9HlgIDyaeio6z7Ff/kBZQamiGETUcCUqLBbsMoKd6upKyxCFnQXjrqqUCVHDFLVeWVdBrxbe6DQkRKVsyJp8/BQWC3IMMRHZGLsoFgwODoYgCA3qHwDVC7rqg7u7u6wCreo0b9681nu8vLzw+uuvY8eOHXj88cdrvG/d3d0xadIkrFq1Ct988w1at24tN10EBASI1jp1kl/EFBoaijVr1uC7777DqFGj4OxcfcFLmzZt8Oyzz2LPnj2YNWtWjccrceedd2LXrl147733EB4eXm1bbQcHB/Ts2RPvv/8+du7cidtvv91qebm4uGDOnDnYvXs3nnnmmRq/n87Ozhg9ejS+//57/PrrrwgJ4R/yDZUgCIjedFq0HjouvF6Lr4uzC7Ho9g/x9ZTP8MP0JagwlqsSt6ygFJveWCta7zY2DH5dxM81Usa+eCe0TuaF0+ln07Bv0Q5ZOeWm5GDv5+K941+dXOtY416ZJFo7suwQLp+4KCu36I0nRSObXTxcMPLZcbLiERERERERETVkMZuUFQv2nNy7xvdTnN2cMUjiQsTa0JfoRdMFiMg26IrKcPlEkqIYHGtbdzyaeULnoJe9/1p8iqKL0IkaukiFI4jDJ/eGg9Yuyi0aPW+FY4gLOYaYiGyMXYwh3rBhA7Kysm4U6TUUTZs2re8UFGvatCliYmLqO40b2rZti3nz5mHevHm4cuUKEhISkJubi6KiIri5ucHX1xedOnVCSEiIrC6EUlasWIHy8nIMHz4cWVl/j0p96qmnFMXUaDQYNmwYhg0bBoPBgISEBFy+fBn5+fkwGAzw8vJCy5Yt0aNHD1md/pRwc3PDtGnTMG3aNBQVFSEmJgbXrl1Dfv7ffyT5+voiICAA4eHh8PLyqtPcWrVqhTlz5mDOnDnIyMhAbGwsMjMzUVRUBGdnZ/j6+qJ9+/bo3r27VYsqST3JJ5KQnyYeTR56R896yOZvV6OSsfSuhci9mg0AOL32GErzSjBzzX/g7ushO25FeQW+nbYI2ZfNRy5rHDSY8v59Fsdp2qY5xr40UdSxb+Pra9G+fzCCB3WxPCdjOX56+CvoisrM1ntMjEDouNp3QL3tvgE4uHQvLv6ZeGPNVGHCDw98iVeOvQuvFt4Wx8pNycGKWT+K1ie+fQ88m9Xtcw8RERERERGRteWl5iD55CVFMaobQXyzYU+Pxp5Ptyp6P/3g13swfM7Yai82JqLG5+Jf52Aqr5C9v2VwKzRtU/uGESRfoVMJXPUusvYadUZkXrxu8YXsRI3J9cQ0pJ9JUxSDI4gbD8/mXtBoNLL/vmVnQSKyNXZRLOjk5CTZ/Y1sW9u2bdG2bds6OdeZM2duFAoOHz4cERERqsV2dnZGr1690KtXL9ViqsXLywuDBw+u7zQktWrVCmPGjKnvNEihyN9PitY0Dhp0HR2q2jlSYq7ggz6vi97kun/xoxgxR9wRM3L9iRuFgpXO7onDgv5v4sk1/0Hr8No/7xRlFeLHB5fg7N540dduf2ki2vbuUKt4d75xF6I3nET62X9e6JbrjVgy4RM8veF5dBnercYY+hIdfpi+BBf+SDRbd/Vyw/Sv/lWrfCppNBo88v2TeLfnKzDq/hlrnH05CwtHvY9nts1D09bNaoyTdSkDi8ctQFFmodl629s6YNRz42XlRkRERERERNSQxWyOVLTfzccdnYd1tejY5u1aoMfECMRsFk97sFTG+XQk7o1Ht7E9ZMcgooYncR9HEDc2RY4laKmX37wkLfYqiwXJJkWuF3/+VBvuvu58TmtEtI5aeLbwEn2uZCkWCxKRreFlfUQq+PXXXwH8XQgzd+7ces6GyHbEbRO/ER4Y1kZRB79bleaVSF4NW5xdJHn8pP/eg4EzhonWM86nY0H/N7H5zXWiTnxVMeoM+OPbfXiv16uShYLdxoZh0rvTLIp1MycXJ8xa/xzcm5jfT2UFpVg05gOsefZnFKTnSe41mUyI2nAS7/V6FbFbzO9/B60Dnvh1DpoE1VzQV5VWnf3x6LJZorFH1+JT8G74y9j/5S4YygySe/UlOuz9fDvei5iPzIsZZl/zbuWDp9Y9y5b/REREREREZJOiFY4gDpvQC1ony3sHjJgzVtH5AGD/kl2KYxBRw5J4QFmxYMgo9S4CJ8sUOhYr2p8ae1WlTIgaFqUjiHtM6g1HZ7voy2QzfBSMIuYYYiKyNfwNRqRQUVERduzYAQAYP348QkJC6jkjItuQfy1PsgV8pyH1+zPmoHXAIz/ORKsu/tj0xjqzQsNyvRHb3tuA/V/uQsTUvggZ1R1+XQPh1dIbTq5OKMsvRUluMdLPpOH8obOI2x5V5VVMXceE4ekNL0DrKG9kul9IIP698QUsmfCJWfGiqcKE/V/uwsGv96B9/2AE9WgL9yYeKNcbkZOchQt/JkrmpHHQ4IGv/oWwO5R3Oe1z3wAUXMvDby+uNGv5XppfijXP/oyN81ej07CuaNXZHy4eLtAV6XA9MQ0X/jwHo0QhoXsTD8ze8hKatW2hODciIiIiIiKihqYkrxjnDpxRFKPnZMtGEFcKGRWKVl38kXEuXfY547dFI+tSBlp0aCU7BhE1HMU5RUiNvqIoRufhlnU4JfUUOpUo2p8Wl6JSJkQNR9alDKREJSuKETGVI4gbG69WPrL3FmYUQBAEUSMMIqLGisWCRApt3LgRZWVl0Gq1+M9//lPf6RDZjLN74iTX20S0q9tEJGg0Gox7eRJCRnbHqtnLcOXUJbOvlxWU4vCygzi87GCtYztoHXD7vImY9M40xV3yOg0JwbzDb+OrSZ8iJznL7GumChOSDp9H0uHzNcZx8XDB4yvnIHxSb0X53Gz03DvQJKgpls34RlQAqC/RI357NOK3R9cYp2VwK8ze8hJHYRAREREREZHNit8eLTkVwVKOLk7ofnvtxgFrNBqMmD0Wq//zs+zzCoKAQ0v34p5PHpQdg4gajvMHz5pd+FtbgWGt4d1SfqEGyVPsWAoHRweYyk2y9rOzINmiqN+VjSB28XRFt7FhKmVDdcXHT/7vIKPOCF1hGdx83FXMiIio/nBWH5FCa9asAQBMmTIF7du3r+dsiGzHmb3SxYJBPdrUTQIWXB3Urk9HvHr8XTzx6zNoe1sHhafTIPSOnng96kNMef8+1cbpBoa2xhtRH2LkM7fLihk2oRfejP1I1ULBSr2n9ccb0R+i+7jwWu91cNRi9Nw78NrpD1goSERERERERDZN6QjirqND4erlVut9/R8ZAhdPV0XnPvzTQRhK9YpiEFHDELctStH+kJEcQVwfBI2AZh1byt6fk5yFsoJSFTMiqn9KRxCH3dkTTq7OKmVDdcVLYcF6AUcRE5ENYWdBIgVOnTqFCxcuwNnZGXPmzKnvdIhsitQoXI9mnvALUbcwrHJEsFFnNFsP6B5k0X6NRoM+9w1An/sG4GpUMk6vPYaE3bFIi70KU0X1V2tqNBoE9WyL0HHhGPivYWgZ7Cf7dlTHzccd933xKEY8czv+/G4/jq/8CwXpVb+ocfF0Rc8pt2HoU6MQPKiLVXKq1KqTP/6z/WVc+DMRf3y3DzGbTkNfrKvyeN+AJuj74GAMfWokxxgRERERERGRzTPqDEjYEaMoRm1HEFdy83bHgEeH4uBXu2WfuzSvBCd+PYLBj4+QHYOI6p9Rb0TUBmWduLqM7KZSNlRbLUP8kHXuuuz9afEpVn+fmKiu5KXm4PKxi4picARx4+Tj56tof2FGAZtXEJHNYLEgkQKxsbFwcnLCM888g4AA/nFApKbndr1aJ+cJ6BaEJaU/I25bFJZM/AQA4N81EL3u6lPrWG16tUObXu1w14f3Q1esw/WzachKykBhRgH0JXpAAJw9XODR1AMtO/nBv2sg3H091L5JVWoZ7Ie7P56Ouz+ejsyL13E1MhlFmQUoKyiDs7szPJt7IaB7EILC26rW2dBSnYaEoNOQEJgqTEiNuYJrCakozi6CodQANx83eLX0Qdve7dGiIwsEiYiIiIiIyH4k7kv4+z0FmTQaDXpMjJC9f8TsMYqKBQHgwJLdGPTYcGgsmOJAVJXinCLEbY1CxoXrcHR2hLuvO8In90azti3qOzW7kLAjWlF3OY2DBp2HdlUxI6qNVl39kbApWvb+tDgWC5LtiNqgrGOzk6sTuo/vqVI2VJe8FYwhBoDC6wUqZUJEVP9YLEikwGOPPYbHHnusvtMgIhXcPEZj4n/vUVws5+rpinZ9OqJdn45KU7OKlsF+VutkqISD1gFtItqjTQTHuhMRERERERFFb1T2gXaHgZ3g3Ur+B6N+IYHoOjoUZ/fGy46RGnMFSYfPIXhwiOwYZL8KMwqw8t8/IWbTKQgmwexra577BZ2Hd8P9XzyCwLA29ZShfTix+qii/e36dISbj7tK2VBttQxR9j5wWuxVlTIhqn9RCkcQdx8XDldPV5Wyobqk5G9iACjkGGIisiF12zaIiIioAdIV63B81WEAQJuIdoi4my3kiYiIiIjoH4IgIDs5C8U5RRAEoeYNREQqMFWYELPltKIYckcQ32z47LGKYxxQ2J2Q7NP5Q2fxbs9XEL3hpKhQ8MYxB8/go4Fv4fS6Y3Wcnf3QFZUhdrOy56KQkd1VyobkaNnVX9H+1DgWC5JtKMwswIU/ExXF6MURxI2WtwpjiImIbAU7CxIRkd07+esR6ArLAACT37uPY3GIiIiIiAgAcHZfPPYu3IbLJ5JQklMMAHD1dkP7fsG48/W70GkIu2QRkfVcOnYBRZmFimKET+6tOI8eEyLQrG1z5FzJlh0jcv1J5F/Lg29AE8X5kH3IS8vF0qkLUZpXUuOx+hI9vrtvMR4zlKPfg4PrIDv7Er3pNIw6o6IYEff0UykbksOrlTc8mnqiJLdY1v602BQIgsD3zanRi94g7lJbG1onLXpM6KViRlSXfDiGmIjoBnYWJCIiu/fHd/sAAMGDuyB0XHg9Z0NERERERPWtJLcYPz78FRaN+QDxO2JuFAoCgK6wDGf3xOHTYe9gyaRPoC/R1WOmRGTLYjZHKtof0D0IrTop6yYFAA5aBwx7eoyiGKbyCvz5/++/ENVEEAT8/Ni3FhUK3ux///oWZ/bEWSkr+3Vy9RFF+1t18Ufrnm1Vyobk0Gg0COwhf1S3rqhMUcE4UUNg1Bux65MtimJ0HR0Kd18PlTKiuube1BMOWvnlMYWZLBYkItvBYkEiIrJrySeTcPX0ZQDAlPfvq+dsiIiIiIiovlWUV+Dbe7/AiZWHazw2bmsUlk79HEa9sm47RHWh4Ho+Tq87hsj1J3D+0FkUXM+v75SoBon74xXtD1dhBHGlQY8Ph5Ork6IYf3y3H+WGcpUyIluWce4azsoo+jOVV+Cbuz/H1cjLVsjKPhVnF+LMbmUFmH3uH8iOdA1AUFhrRfvTYjmKmBq3P77Zi+xLmYpicARx4+bg4ADvVvK7C/L1ExHZEhYLEhGRXfvj27+vau8+LpwjxIiIiIiICBteWY1z+xMsPv7snjiseOoHK2ZEpEz0plN4J/xlzAv4N767bzG+nbYIn414F6+0eQY/PvwVUqKT6ztFklCSV4yUqGRFMXpOUa9Y0LOZF/rcP1BRjMLr+Yj87bhKGZEti90aJXuvvliHxXd8hKykDBUzsl+nfzsBU3mFohh9H1D23EHqUNJZEABSWSxIjVhpfgm2vbtBUQwHrQN6Tu6tUkZUX7wUFAtyDDER2RIWCxIRkV27fCIJPv6+uOeTB+s7FSIiIiIiqmdXIy9jz8Jttd537Jc/EbPltBUyIpLPUKrH//71DZbetRBpcSmir5vKK3Bi5WF80Od1nPhV2YhJUt+FPxIhmATZ+5sENUXb3u1VzAgYMWes4hj7vtgBQZB/u8g+nD90VtH+osxCLB6/gOMCVaB0BHGb3u3RqrPyceikXJDCYsG0OBYLUuO1c8FmlOQWK4rRaVhXeDb3Vikjqi8+fvKLBYsyC2AymVTMhoio/rBYkIiIFGnsb/C+FfsRPk77GgHdg+o7FWqAGvvjm4iIiIgsJwgCfpu3Svb+lbN+RGl+iYoZESmz+pmfcfTnP2o8zlRhwk8PfYXDPx20flJksdp0OJXSY2Jv1cd+toloj44DOyuKkXzyEpKOnFcpI7JV2ZeVjYkEgMyLGfhq4ifQFetUyMg+5aXm4OKf5xTF6KuwIympJ6B7kKLfC+wsSI1V7tVs7Ptip+I4ve/mCGJb4N3KV/beCmMFSvP4mp+IbAOLBWshNzcXO3fuxP/+9z/8/PPP2L17N65fv17faRERWYXWSWvRcRVGZWMoiBqyCkN5jcdonR3rIBMiIiIisraEnTGKinMK0vPx2wsrVcyISL4Tvx7B4WUHLT5eEASsmPUjLh27YL2kqFYSD5xRtL/b2DCVMjE3fLYK3QUX7VAhE7JVgiAgJzlblVjJJy/hu3u/QIWx5vd3SOzUmmOKLqTVaDS47b7+KmZESji7u6BFcCvZ+zMvXIehzKBiRkR1Y9Ob61CuNyqKoXXSotdUFgvaAm8FY4gBjiImItthl8WCJpMJa9euRVJSb25NQQAAIABJREFUkkXHp6Wl4fnnn8fgwYMxd+5cfPTRR1iwYAGeffZZjBo1Co8//jjOnVN2dRURUUPj4KiFxqHmKw11hWV1kA1R/dAV1Xz1uZOrUx1kQkRERETWZKowYf3LvyqOc3jZQZzZHatCRkTK7PhwU633mMor8N19ixWPaCPlCjMLcC1ePDraUhoHDToP66piRv+IuLuv4g9ZozacVKVzHNmmkpwiGEr1qsVL2BmD5TN/4PQIGU4oHEHcaWgImgQ1UykbUoOSUcSCSUD6mVQVsyGyvpToZBxf/pfiOH2nD1L89w81DN4KxhADQGEGiwWJyDbYXbFgRkYGpk+fjrfeeguvv/56jccfPnwYU6dOxY4dO2AymSAIgtm/iooKHD58GPfeey/WrVtXB7eAiKhuaDQauDfxqPG47Et8c5dslyUfXljyc0Jk7wRBwLWEVGz/YCPWvbAC6+etwv7FO5F/La++UyMiIgIAHP35D0WFOTdbPvMH6Ip4URXVn+zkLNmP57yUHCybsZRFNfXs/MGziva3iWgPd1/rvFZ1dHbEkJmjFMUQTAL2L96lUkZka7JV6ip4s6M//4GNr61RPa4tyzifjqunLyuK0YcjiBucwDD5xYIARxFT47P+5V8V/13r6OyICW9OVSkjqm/efvLHEANA4fV8lTIhIqpfdlUsmJmZiYcffhgxMTEQBAHR0dH466+qryaIiYnB7NmzUVBQAEEQoNFoJP8BgF6vx1tvvYW9e/fW1c0hIrK6lsF+NR6TeZHj2Ml2ZV6o+fHdoqP88R1E9iD51CW82/MV/DdsHja9vhZ7P9+O3Z9uxZrnfsErrefgyzs/Ql5abn2nSUREdsxQqsfmN9W7ADT3ajZ+f2W1avGIaktpd8u4rVHY89k2lbIhOZSMRAeALsO7qZSJtKFPjYKDo1ZRjMM/HURZYalKGZEtyUnOskrcnQs248ASFqla6sSvyroKOjhqEXEPR3Y2NEE9WivanxarzsU1RHXhzO5YnN0TpzjO8Nlj0bx9SxUyooZA8RhidhYkIhthN8WCJpMJL7zwAq5e/fuqF41GA0EQsGTJEsnjDQYD5s2bB51OZ1YUeGtnwcpYGo0GJpMJL730EtLT0+vmRhERWVmL4JqLoNLirrLjANmkktxii7qetbTg54TIXh38eg8+HvQW0uKk30wWBAHxO2Lwfu/5OHdA2QeiREREcu1dtEP1breHlu7B+UPKOoMRyZV1MUNxjA2vrkbSkfMqZENyJCr827jLyO4qZSLNN6AJbru3n6IYuqIyHP7xoDoJkU2xVrEgAKx59hec/u241eLbCkEQcFLhCOJuY8Pg2cxLpYxILYEKxhADQGocOwtS42CqMGH9vFWK47j7uuOO16aokBE1FD4KxxAXXGexIBHZBrspFly9ejVOnjx5o+ivUkxMDP744w/R8StXrsSVK1dERYK3unVdp9Nh4cKFKmdPRFQ/WlrQMS37claVRSBEjVn0xlMWHWdJB04ie3R2Xzx+nbMMFcaKGo8tyizE4js+RqLCDipERES1VZhZgF0fbbFK7F+e+A6GUr1VYhNVJ+eq8hGepgoTvn/gSxTnFKmQEdVGXmqORV3uq+LgqEXw4C4qZiRt1HN3KI6xf/FOVJTX/HqB7Is1iwUFQcBPD33Fgv4apERfQcY5ZU0xOIK4YWrWrgVcPF1l70+NucLGAdQoHF/xlypjs8fPnwKPpp4qZEQNhZfizoIcQ0xEtsEuigX1ej2+/PJLs8K/mx09etTs/wVBwIoVK6o8XmoMceW6IAjYtm0brly5Yo2bQkRUp/y6Blp0nNIrTYkaIksf134hAVbOhKjxKSsoxf9mfFOrPeV6I76e/CkuH79opayIiIjEtr27AbqiMqvEzkrKwMbX11olNlF11Cq0yUvJwf9mfAOTyaRKPLLMuQNnFO1v368jXBUUgliq3W0dEDwkRFGMnCvZFl+oR/Yj54rygufqlBvK8fWUz5DGDmlVOrHqsKL9Tm7O6Dm5t0rZkJocHBwQGCZ/FHFJTjEKr7NQhho2Q5kBm95Q/jqsWdvmGDFnrAoZUUPi7usBR2dH2fs5hpiIbIVdFAtu3boVeXl/j5MRBOFGUR8ABAcHY+bMmWbHnzp1CmlpaTeOv1nl3ls7Ct7631u3brXKbSEiqkvdxoZB66St8bgDX+5CXmpOHWREVDfO7o3D2b3xNR7n3zUQLSzowElkb2I2n0Z+Wm6t9+lL9Fh8x0eqXPlLRERUk4zz6fjj231WPcf+L3Yi6ShHuVLdUrMrV9y2KOz5bJtq8ahmikcQD++mUiY1G/3ceMUx9i3aoUImZEus2VmwUllBKRbf8TFyVejEamtMJhNOrTla84HV6DExAq5ebiplRGoLClM2ijh+Z4xKmRBZx/4vdiIvtfbvS95q8nv3wsnVWYWMqCHRaDTw9vOVvb+QY4iJyEbYRbHgli3/jJO5uRNgUFAQfvnlFzRp0sTs+EOHDoli3LwvNDQU8+fPxyOPPAJHR0dRh0FBELBz5041bwIRUb3waOKJrmPCajxOX6LHilk/osJYXgdZEVlXcXYhVs1eZtGxvaf1s3I2RI1T7NZI2XtL80rwxe0fIuOCspFHRERENdn42hqYrDz+UhAE/PL4dzDqDFY9D1ElQ5kBRZmFqsbcOH8Nko6w6LUuCIKAc/uVdRYMGdldpWxqFj6pN5p3aKkoRtKR8+wuTjcIglAnxYIAkJ+Wi68mf4ZyA9/PvFnS4fOKi2z63j9ApWzIGgJ7KCsWPPzTQXUSIbKCoqxC7FiwSXGcNhHt0OcBjlO3Vd6tvGXvZXdVIrIVNl8sWFZWhtOnT4uK+TQaDd544w1RoSAAHDliPnbw5k6EXbp0wapVq/DII49g/vz5eP/99826ClaeJykpCWVl1hljQ0RUl3rfY1kxVPz2aHz/wJfQFeusnBGR9eSl5mDhqPeReeG6Rcf3ntbfyhkRNU4X/jynaH9hRgEWjfkQuSnsWmsrBEFAdnIW0uJToC/h3wpEVP+Sjp5H5PoTdXKu64nXsPWd3+vkXES5V9QvsjFVmPD9/YtRnFOkemwyl30pU1GnM0cXJ3QY0EnFjKrnoHXAyGduVxxn76LtKmRDtqAkpwj6En2dnS815gp/R9/i5K9Haj6oGm4+7ug+vqdK2ZA1BPWQP4YY+LugNP1smkrZEKlr+3sboCtU/vn83R8/CAcHmy+jsFtKOgsWZRXCVGFSMRsiovph87/lLly4AKPReOP/Kwv7OnXqhGHDhomOLy4uRmJiollxYSWNRoNZs2bB2fmflsOTJk1CUFCQ6FhBEHDunLIPSYmIGoLwyb3h5GZZq/Wo30/ira4v4tiKv9g5gxqVktxi7PxoM97q+iLS4lIs2hMY1hoB3cV/AxDZO0OpXpUrLHOvZmPRmA9QmMnRDo3ZtTOpWHr353i++Uy81uFZvNPjZfzH6zG81vFZ7F+8E4Yy/r1ARHVPEASsf2lVnZ5z9ydbceX0pTo9J9mn7GTrjNTMS83FskeXwmTiB2PWlLhf2QjijoM61/m4vEGPDYert7Jxo5G/neA4WAJgveew6uz9fDsvfv5/FcZynFp3TFGMiKl94eTipFJGZA2BYW0kPwOtDXYXpIYo8+J1HFy6V3Gc0PHhddqpmeqedysf2XsFk4DibF5ERUSNn2N9J2Btly9fFq1pNBqMHDlS8vjTp0/DZDLd6CZ48x/Mrq6ukvtGjhyJX375RfTH9dWrV9GzJ6+gIqLGzaOJJ+6YPwWb3lhr0fH5ablY9sjXWPXvn9BjYgTa9+34f+zdd3hUZfYH8O9MeiEhjUAgIdQASYCAFOlNQYoIgoIiFtaGZXVdXRuIuoqKsChYEEFBUIqA9E7ooQZIg1BTSCO9l8nM/f3BLxjIBCb3vFPv+TxPnl0mec97guHmzr3nnoMm7ZqiSbumcPdpBAdnB6jUtIsRjMml0+qgqdCgMD0fNy5n4calTCTuT8D5PXENHkH36FdPGClLxqxbjsCRUVkXM/DtiC/wr30fwrWxm7C4zPg0lRpseHcVIhfu1Pu0bc61bKx+Yzl2frUZr259B4FdWpohS8aYUp3965TJR6rqtDosn/YT3jvxX9g72vzlOGZGecnGK7SJ23YWu7/eiuHvjDHaHkqXuJ84gniw6W9sOzdyQf9/DMHueVtlx9BpdYhcuIvfZzOTjSCuTVNehdgt0egxicdNnt8Th9LcElKMHpN5BLGlc/F0RXDPNqQR8MeWH8Ijnz3O57XMovz1weoGX+O/k0qtwvgv+XzE1lGKBYGbU3GoMRhjzNxs/iyuoEB/V5M2bdroff3UqVN1XqspGuzatettXQVrdOjQQW+s4mKuKmeM2YYH/j0KUcsO4MblLIPXVJZU4OQfR8mjKxizRN0e7YnQ4V3MnQZjFin3mtibO6lnk7Fw9Bz8c+e7cHJzFhqbGUdhRj5+nDAfV6Mu3fNrC9Lz8b9hn+Ffez9Ei85BJsiOMbrqqmq+KWbFtJpqrH/3D7PsfT0mBdtnb8SYjx41y/5MGYxdaPPXB6vRpm97tO0bYtR9lEiSJCQSOwuGDO4kKJuGGfzag9gzfxsknSQ7xqHF+zBq5ng4u/M5v5KZo1gQuNnVk4sFgZOraNdxPfw9EWKGomXWcN0n9iIVCxZnFyFmczS6PdpTYFaMyXft+GWcXnucHKfP0wPRPIw2qptZPsoYYgA3p+rwdUzGmJWz+THEZWVlel/39fXV+/rJkyfrjdW5c2e9r3t5eel9vbS09B7ZMcaYdXBwcsDj3z5j7jQYswiOrk6YOHeKudNgzGLlXLshPOaVoxfxw/j/QVOpER6biXXt+GV83uNDgwoFa5TmlmDRxPl6OxAyZgkkScLxlYexaOJ8vBf8Ol5xnoq3A6Zj7uBPsXveVj42WZlDiyNx41Km2fbf9tlfuB6TYrb9me3LTTZuoY1Oq8PiSQtQklNk1H2UKON8GoqyCmWvd3JzQnCP1gIzMpxPSz9ywUh5YRmO/nJAUEbMWpmrWDD1bLJZ9rUkVeVVOLOhbjONhug+sTfUdjZ/29Em9H6qP+wc7EgxDi+JFJQNYzSSJOHPt1eS4zi4OGLMJxMEZMQsHbUrYGGm/mZVjDFmTWz+rN3BwUHv6+Xl5XVeq6ysRFxcXJ1xwjXqKxZ0d3eXnyBjjFmJsBFdMPSfD5k7DcbMSqVS4ckfnoN3kP6HDhhjN8fLGsP53bH4+YmF0BLHiTDjOfrrAXw98BMUpOc3eO2NS5k4tTrKCFkxRpOZmI55Qz/D0qe+R/S6E8hLuTnesyizABcPnMef/16Jjzr+G9HrT5g5U2aIiuJybPl4nVlz0FVrsWzaIv59xowm14hjiGsUpOXhl6d/gE7Hhf4iUbsKthvQAXYO5ut8O+zNkeQY+77dwQ+QKJwpjmH6pMWkQKupNsveliJ2SzQqSypIMXgEsfVo5OeBro/cR4qRsDMGeam5gjJiTL5zm07j8uFEcpxhb46EV3NvARkxS+fZlD6GmDHGrJ3NFwu6ubnpfT0zs+5T5GfOnEF19c03hJJUd2RCly76xw3W173QxcXF0DQZY8wqTJw3BUNeG27uNBgzC5VKhalLXkDvp/qbOxXGLFqOETtBnN1wEsunLeIb0xZGq6nG6n8uw7LnFqG6Sv4Ntt3ztgrMijG63ORsfNV3Fi7uT7j71yVlY9GE+fjz7ZVc4GDhdn61GcXZ5u+GlnL6GnbP5WMeMw5TdeWK234Ou+ZsMcleSnEh8u6/b+7F3KM/W/duh1a925JiZF/JQsyWaEEZMWtkrmLB6qpqpCekmWVvS3FiFe3hLZ9gP7Tu3U5QNswU+k0bTFovSRJ3hGVmp9VUY/27f5DjNPLzwPB3RgvIiFkD+hhiLhZkjFk/my8WDAgI0Pv6vn376rx26NCh2/5cu8Ngs2bN6h1dnJ6ervd1T09aVTpjjFkalUqFx+ZP5YJBpjg1hYJ9nhlo7lQYs3i5RhhDXNux3w5j9evL9D7cw0yvJKcI34z4AvsW7CTHSolOutW1jTFz01RUYdHEb1CaV2Lwmt1zt2LBqC9Rmm/4GmY6Ben52D1vGzmOvaOYrl2bZ61DZqL+60mMyaWpqEJhhulGYm38cA2uHL1osv1smU6nu2dx+r2EDO4kKBv5hr1B7y64d/52AZkwayRJktnGEANA6pkks+1tbuWFZYjbdpYUo8ek++ud2sUsU4dhYeTpKUeW7ucHpphZHV6yH1mJGeQ4o2aOh4uHq4CMmDWgjiEuyuIxxIwx62fzxYKtW7e+7c8qlQqSJCEqKgoXL/59MausrAwbN26s82ZGkiSoVKp6RxADwLlz5/S+3rJlS0LmjDFmmWoKBp/8cRrcvHkMO7N9Tdo1xes73uVCQcYMZKwxxLXt/343Nn64xuj7sLtLPZeMz3vOQCKxC05tMVvOCIvFGMWRpQeQfOpqg9cl7IrFF71mID3huhGyYhSbZq6FpryKHOfVLW/DJ9iPHKe6UoMN768mx2GsNlOPAtRpdfh9+lIeqy3A9XMpKMsvlb3etbErArsGi0tIpojxPciFJxcPnEdK9DVBGTFrUppXQh6DS5ESnWS2vc3tzIaTqK7UkGL0nNxHUDbMVNRqNfo8S7vemZeSgwt74wRlxFjDVBSXY/OsP8lxmrRrigEvDBGQEbMWTu7OcHR1kr2exxAzxmyBzRcLBgYG6u0IqNVqMW3aNKxduxZ79uzBc889h5ycm10s9HUp6dGjh974ZWVl2LdvX50iQ5VKhTZt2gj4DhhjzPKoVCoMeGEoPkmci/7PD+GnRplNcnBxxNj/PoaZMV+i0wPh5k6HMatQml+C8sIyk+y1ffZGHPhht0n2YnWdWnMMX/WdJbzzB4+dY5Yiev0J2WtvXM7CF71n4uzGUwIzYhRpcak4+it9RFq3CT3RcVg4nlr8vICsgLMbTnJhKRMqN8n0HXqvx6Tg7IaTJt/X1iTuiyetbz+oE9R25r/Ub2dvJ2QaxR7uLqhI1PcW4aMiSOtTzyaR1luzE38cJa0PCG2B5uFBgrJhptT32YHka/uHl0QKyoaxhtn19VYU3ygixxk3exLsHMR0kGfWQaVSwaOp/O6CPIaYMWYLzH8FwQSGDBlyqwCw5n9VKhWys7Mxc+ZMvPbaa7e6A9Y3zqxv3756X58/fz6Kiv4+EalZHxISAnd37rjFGLNt7j6NMGXRP/D+yf9i0CsPwqNpY3OnxBhZ0w4BGPXhOHxy/muMfP8RODg5mDslxqxGrgm6Cta29q0VyLyQZtI9lU6n1WHD+6uweNK3qCqrFB4/cV88KszYTYQx4Gbh86UD50kxKksq8MO4edjyyXrodDyWy9w2vLcKko42vl5tb4dxn08CAHQcGoZ+/xgsIjUc/HGvkDiMAfRCG7m42J/uQiStWDBkcKigTOj6/WMwnNydSTFOropCQXq+oIyYtaAWPHccFgYnN/ldglLPJCnyvK0oq5DcGa4HdxW0Wt5Bvug0vP7JaoY4+9cplOTQC7YYa4iC9HzsnruVHKdNn/aIGKe/YRCzbZRRxIWZPIaYMWb9FFEsOGHCBL2v14wkrvmo/fRMzedUKhU6deqE4ODgOuv37NmD5cuX3/ra2mv79+8v/PtgjDFLFdStFSYveAZfpi7EW/tnYMhrw9G2fwd4NuPiQWbZVGoVfIL90PGBcIz6cBxmnvsCs+Ln4OFPJpJHJzGmRKYYQVybpkKDtf9eadI9lay8sAzfPzIXO77YZLQ9qquqcX53rNHiM2aIjIQ06LRibhRvnvUnfnrsGy6CNaPEyHjEbqWPOB/40jA0adv01p8nzHkSjZt7k+NGLT+IylL++WBi5CabvrMgAFw6lGiWfW2FVlONSwcvkGKEDO4kKBs6F09X9CWOtdRVa7H/u12CMmLWglrw7NfGHy26tpS9vrK0EjcuZZJysEan1x4jP1TRY9L9grJh5tD3uUGk9VqNFsd+OywkF8YMtXnWn0IeYn30qyd4cpZCUZqflOaWQKupFpgNY4yZniJ66nbu3Bn9+vXD4cOHbysQVKlUt50A1NdVcPLkyXVe27x5M95///1b6+8sNHz00UcFfxeMMWb51HZqtB/QEe0HdLz1WkVJBbKvZKEwowDVFVXQVGjMmCGzJLm5uZgxYwY+/fRT+Pj4mGZTlQqOLo5wcHGEd6A3fFo14c6BjAmUc+2Gyfc8vzsWZQWlcG3sZvK9lSTrYga+G/s1shIzjL5XzOZofqqbmVXOVbHHsjPrTyLrYiam//Uv+LX2Fxqb3duWT9aTYzh7uGDUjHG3vebi6Yopi6Zh4eg5pNgVReU4+UeUsE6FTNlyk83TWTA3KRsVJRVwJnaTU6rk09dQSSgqb+TngYDQFgIzohvy+ghELtxV7/V2QxxctBcjP3gEjq7yO8Ux65JDLBb0CfZDYNdgXDlyUXaM1DNJaBoSQMrD2pxcFUVa36pXWz7HtXJdHu4Od99GKMkplh3j8JJIDH3jIS66YiaRHn8dR5buJ8eJGN8Dbfq0pyfErJJHEw/S+qIbRfAS8AAhY4yZiyKKBQFg5syZGDt2LCoqKm4rGNSndgFgmzZtMH78+Ns+n5qainfeeefWn2sKD2v+d8CAAWjZUv4TbIwxZkuc3Z0R2KUlArvwcZHdLjU1FemfZyP04a4IDAw0dzqMMQFM3VkQuPkEe8KuWNz3WG+T760UucnZmDf0MxSk5Zlkv9itZ6DT6qC2U0QjfGaBsgUXCwJAelwqZvecgedXvYaOw8KFx2f6ZZxPw0XiSGkAGPGfh9HIr+6NhPCREeg9tT+OLT9Eir//h93oO20Q31xlZOYaQwwAGQnX0apnW7Ptb80u7COOIB7SyeKOH35t/NFlbHec/euU7BileSWIWn4IA18aJjAzZsmoBc8+LX0R1C2YFCMlOgk9JilnpG5OUjauHJVfXAlwV0FbYO9oj/unDsDuefJHumYkpOHqsUtocz8XXjHjW//eH+SOqGp7O4z7fJKgjJg1onQWBIDirEIuFmSMWTXF3H0JCgrCnDlzoFbf/Jbv7CpYo+Y1SZLg7OyML7/88taaGv7+/vD09KyzBgDs7Ozw9ttvG+NbYIwxxhhjzKLlJpm+syAAXI9JMcu+SqCpqMI3I74wWaEgABRnF+Haicsm24+xOxmrS2ppXgm+GfEF9szfTuq0xAx3ZsNJcozGzb0x9J8j6v38Y/Oegoe/Z72fN0TqmSQknbhCisEYAOQmmWcMMQCkx103297WLjGSWCw4OFRQJmINe3MkOcbeb7ZDp9MJyIZZA8oxzM3HHc6NXBAUEUzKIfVsEmm9tTlF7CqoUqv4wT0b0XfaIHKMI0v2k2Mwdi+J+xMQu+UMOc6AF4bAv30zARkxa+VJLBYszCwQlAljjJmHYooFAWDYsGH47rvv4O7ufuvCfE3RYO3iQUmS4Obmhm+++QahoXUvtjg6OuL555+/7eJ+TVfB6dOno02bNqb5hhhjjDHGGLMg5ugsCNzsZMOM4+gvB0wyevhOMZujTb4nYzVEjyGuTdJJWPuv37DsuUXQVFQZbR92U+xW+k2ksZ9OvOsITDdvd0xa8Ax5nwM/7iHHYMpWXVWNwvR82evtHOxI+6fFpZLWK5WmUkMamQoAHYZYZrFg234hCOreihQjKzED8TvOCcqIWTJJkkjdUX2C/QAAzTq1gL2j/IFaKdFJinqo4+Sqo6T1IYM7wbOZl6BsmDk169icPI711OooVBSXC8qIsbp0Oh3WvfM7OY5zIxeMmjn+3l/IbJqHP3EMcWahoEwYY8w8FFUsCACDBg3C9u3bMWnSJLi6ut4aR1zzYWdnh5EjR2LDhg0YMGBAvXGmTJkCPz+/214bMWIEpk+fbuxvgTHGGGOMMYtDvblDkR7PxYLGoNPpsGuu/DFEFDECnhJnTC5jFgvWiFp2EN89/DUXDBpRSU4Rrh2jdSltHh6I3k/1v+fXRYzvgSZt/Ul7nVwVhZLcYlIMpmz5qbmkApd2AzqQ9k/nYkFZrh27DE2FRvZ6rxbe8GtDO/4Yi0qlwrA3HiLH2fnVZkUVbylVaV4JKksqZK/3/f9iQXtHewSEB5LyyEsxX5dWU0o5k0Tu0q+kkc1KQO0uWFlaiVOrj4lJhjE9Tq85huRTV8lxhr8zBh5NaN3hmfWjjiEuyuJiQcaYdVNcsSAA+Pr6YtasWTh27BjWrFmD+fPnY968eVi+fDlOnDiBefPmISgo6K4xnJyc8NJLL926UDFlyhTMnTvXFOkzxhhjjDFmcYoyC0g3Oimyr2RxwY0RpEQnmaRoSp/0uFTkmKn4lClbVXkVCgiduRri/J44LJv2k0n2UqK4HTHk4pJHv3oCart7XzpTq9UY8OIw0l7VlRpE/XqQFIMpG/X3Zrv+HeHk7ix7fRqPIZblwj7iCOIhobem5Vii7hN7o3EArevYpYMXcJC7r9o86oNnPi3/buwQ1DWYFCv1TBJpvbWIXLCTtN7OwQ4R43sIyoZZgu4Te8O5kQspxuElkYKyYex2mkoNNry/mhyncYAXhr1Jf5iBWT9ysSCPIWaMWTlFFgvWcHBwQOfOnTFixAiMHDkSPXv2hKurq8HrH3vsMTzxxBNYtmwZPvzwQ6jViv7rZIwxxhhjCmauEcTAzbGemWYYlWvrzD0K2Nz7M2UydYfUk38cRWIkrVCE6Re3jdahtMPQUHR6sLPBX3//MwNg7+RA2vPgoj3Q6XSkGEy58pJpnbB8WzdBQGgL2euLMgtQklNEykGJqL8DOgy2zBHENewd7TH41eHkOGv/vRKZF9IEZMQsVW4S7Rjm3dL31v8P6hZMipUSnURabw1Kcopw4g/aCOKwh7rCzctdUEbMEji7O6PHpPtJMa4dv4w07jbMjODA97uFvF9/+JOJcHR1EpARs3Ye/rTukoXcWZAxZuW4uo3AwcFV08j/AAAgAElEQVQBM2fORM+ePc2dCmOMMcYYY2aVc43WgY7acSSDRxELF7PFzMWCZt6fKZM5umnu/XaHyfe0ddpqLeJ3nCPF6DdtcIO6dbn7NCLfXL1xOQsX9sSRYjDlonfl8iUVCwJAejwXczVEZWkFrhLHpYcM7iQoG+Pp/8IQ8k15TXkVlkz5DtVV1YKyYpaGfAwL/rtYMDAimBQr5WwSab01OPzzflRX0iYD9JjMI4htEXUUMQAcWbKfHIOx2krzS7D1vxvIcQLCAnH/0wMEZMRsgaOLI5w95HdTLeZiQcaYleNiQcYYY4wxxhgZtbNg+KgI0vp0LhYUKv96rtnHb13cn4DyojKz5sCUJ9sMxYIX9sRBQ7xZy253NeoSygrkHz/Udmp0Gm54V8EaA1+ijSIGgAM8apPJlJtMLbTxQ0BYICkGdxJqmMuHE6Gr1spe79fGH95Bvvf+QjNz83bH/VP7k+OkRCdh08y1AjJiliiX2h01+O8xxC06B0Gllj+eO9XGOwtqq7Xk8w0nNyd0GdNNUEbMkgT3aIPm4bTzgWO/HeL3N0yoHbM3oSy/lBzn0S8nQ23HpRHsb5TugoU8hpgxZuX4N2ItKSkpiIyMxKZNm7By5Ur89NNPWLp0KdauXYtt27YhKioK+fn55k6TMcYYY4wxi5Nr7mLBBC4WFClmC218pwhajRYJO2PMnQZTGHN0FqwsrUTmhXST72vLqMewNn3byxqrF9yzDbmb0blNp5F/PZcUgykTpdBGbW+HxgFeaB5G7CzIxYINkhiZQFpvDV0Fawz55wghcXbN2YLE/bS/N2aZqAXPtccQO7o6oVnH5rJjFaTno8iGuwXFbI5GXgqtOLPL2O48xtNGqVQq9Js2mBSjNK8EZ/86JSgjpnS5ydnYt2AnOU6HoaEIHdFFQEbMlng0bSx7LXcWZIxZO3tzJ2BORUVF2LRpE3bt2oXz58+jpKTEoHVNmzZFeHg4Ro0ahaFDh8LeXtF/jYwxxhhjjCEnSX6BjUqlQoehobBzsINWI6+7SkYCj70TScQI4Ic/noCkU1cRs1l+rJgt0eg+sTc5F8YMRR2pLldGQhoCu7Q0y962KG4brVgwfKS8AnaVSoVBLz+A315YLHtvSSfh0E/78PAnE2XHYMqUmyS/8MM70BtqOzW5syB3em6YxMh40voOQ0IFZWJ8TUMCED46ArHEYm5JkvDL0z9gxtnZsoq6meWijCF283aHi4frba8FRgSTjkkpZ5IQZqNFJZEL6UU3/V8YKiATZql6TemHdf/5gzSq+siSSPR4/H6BWTGl2jhjLXlsOgA8+uUTUKnkd51ltsmzqfzOgmUFZdBUVMHB2VFgRowxZjqK7CxYUFCADz74AP3798dnn32GkydPori4GJIkGfSRkZGB3bt344033kD//v2xcOFCaDTcUpsxxhhjjCkXZQyxZ4AXnNyc4R8SIDtG9pUsaCqqZK9nf6ssrcCFvbSb10/+MA2jZoxHlzHdSXFit52FTqsjxWCsIcwxhhgAMrg7qjC5ydnkgiVKt9sek++Hi6frvb/wLg79HAmtppoUgymLVlNN6kjp8//jOz38PeHmI78AKz0uFZIkyV6vJGUFpUg+fY0UI2Sw9RQLAsAD/xolJE5+ai5+n76Uf9ZsiCRJpIJnn+C647iDiJ1+U6Jp/z4tVVpcKrmraYvOQWjXv4OgjJglcvN2R8S4+0gxzu+JM9uDWMx2pJxJwvEVh8lxek3ph6BurQRkxGxNoybyiwUB2HQnYsaY7VNcseCuXbswcuRIrF+/HpWVlbcKAFUqVYM+atbl5+fju+++w7hx4xATwyOyGGOMMSaOJEm4HpOC3fO2Yvm0n/C/Bz7Dr8/+iG2f/YUcwlP3jImmrdYiP1X+DWrfVjdvUAeEyh8VJekkHuMpyPk9caSntu2dHNBrSl8AQPho2njp0twSXI26SIrBmKEkSTLLGGIAyDjP3VFFid16lrTep6UvmnWS//vIyc0ZvZ/qT8qhKLOAR7exBslPy4ekk1845dPy5rmYSqVCc0J3wbKCMhSk58terySXDl4g/TcLCG0BD3/azU1TCxnUCWEPienUdmr1MSHFA8wylOWXoqK4XPb6moLn2gKJxYKpZ5NI6y3V/oW7yDEGvzqcu3MpQF/iKGIAOPrLAQGZMKWSJAnr3llJjmPv5ICxn3LXdqafJ2EMMcDFgowx66aoYsF169bhjTfeQF5eXp0CQQAGdxYEUKdw8PLly3j66adx8uRJc36LjDHGGLNyNQWCf324Bh91/Dc+7fou/vz3Shz5ZT8u7I1H1LKD2DhjDWa0exO/PPMDSvNKzJ0yY8hPzSV1f7tVLNipBSkPHn0nBmVsMAB0GNIJTm7OAG5edAvu2YYU79xm2rg6xgxVfKMIVWWVZtmbR6mLE0scQRw2MoJ8A3zgy8NI6wHgwI97yDGYclDGdwKAd8u/u3IFhBLPx+JSSeuV4sI+Whfn9oM6CcrEtCYteAbOjVyExPrj1V+5a5WNoB7Dagqeawvs2pIUMyU6ibTeEpUVlOIYscjW1csNPZ/oIygjZslCBne6da1GriO/HOBJAUy2+J0x5KkXADDkteF6f08wBgAehDHEAFCUycWCjDHrpZhiwT179mDGjBnQ6XT1Fggaqr7CwfLycrz44otISKC1cWeMMcaYskiShNRzybcVCG7//C9kXcyod41Oq8Ox5Yfw9cBPuHsHMzvKCGIA8AluAgBoRr05zcWCZDqdDrFbaYU2nUd3u+ufGypm82nSesYMlX01y2x737iUieoqHjtLVVVWiURiAU5nYkdUAGjWsTm5kCcxMoE7TjKDUQttfGt15QogdBYEgPQ4Ph8zxMX9tOvHHYZY1wjiGn6t/THp26eFxKooLsfSqd9DW60VEo+ZD3Vygr7Ogq6N3eDXxl92zJyrN1BWUEpJy+Ic/eUA+cGYftMGw9HVSVBGzJKp1Wr0fY7WXbAgLQ/xO88JyogpiU6rw7p3fifHcfVyw4j3HhaQEbNV1E7dhZkFgjJhjDHTU0SxYElJCWbNmnWrUBBAgwsE63Nn0WBZWRk+/PBDIbEZY4wxZrtqFwjO7PAW/hvx3j0LBPVJj7+Ob0Z8wTdImFlRO3r83VlQ/thHgMd4ipB86ip5hEb4ncWCY2jFgpkX0nHjciYpBmOGMNcIYuDmzZAbl/jnnOrCvnhoKuSPUXdwcRTWrWvgS/Tugge5uyAzUG5yDml97UKb5mG0hzfS4rmz4L0UZxfhekyK7PUqlQrtB3YUmJFp9Z7aH90f6y0k1pUjF7Hji01CYjHzIXcWDPbV+3pgBK27YOrZZNJ6S6LT6bD/+92kGCqVCgOnPyAoI2YN7n9mAFRqWsftw0v2i0mGKUrU8oNCulWP/OARuHm5C8iI2SoP4hjiYh5DzBizYoooFly0aBFycnJuKxS8U+2xwvf60Kd2zPPnz2P16tXG+WYYY4wxZtXSYlPqFAhSiwPS41Jx6Kd9gjJkrOGonQV9W93sLOjXtinsHe1lx8ngzoJk1BHEgV1bwjvQ57bXWnQOgtcdrzUUNS/GDEEtFmzVqy1pfUYCH8OoqJ1ROwwNhaOLo5Bcuj5yH/nGQ9TyQ6gsrRCSD7NtucnixhCTOz1zZ8F7onYVDIxoCTdv673xrVKp8OQPz8GrhbeQeFs+XodrJy4LicXMIzeJVvDsq6ezIAAERbQixU2JvkZab0nit59D9hVaF+3OY7rV+3fNbJNXc2+EPdSVFCNmczT5gUSmLFVlldg0Yy05jk+wHwa98qCAjJgto3cW5OMbY8x6KaJYcMuWLfUWCtY3kvhuH4YUDq5bt8643xRjjDHGrErSySv4duSX+KTLu0IKBO+05eN1PL6QmU1ukpjOgnb2dvAPaSY7TvaVG6gqryLlonQxW8SOIAZuvucijyLewsWCzPiyiV1Sw0fRxtemJ3B3VApJkhC77SwpRvhI+gjiGvaO9ug3bRApRnlhGU6uihKTELNplEIbtZ36tqItNy93NG4uv4grPf46dDqd7PVKcIE4Lj1kkHWOIK7Nzcsdzy57ud7r6w2h0+qwdMp3qCjh4mprJbLgubbAiGBSXFvqLLhv4U5yjMGvctGNElHPZ3XVWkQtPygmGaYIe+ZvR0F6PjnOI589DgcnBwEZMVvWqIkHaX3xDS4WZIxZL5svFoyPj0dGxs1xfvoKBWte9/DwwPDhwzF9+nR8/vnnmD9/PhYtWoQFCxbgyy+/xDvvvIPHHnsMHTt2rDN6uEZNISEAxMXFITOTRwgxxhhjDDi+8jC+7PMR4necM9oexdlFXEzDzIbSWdDOwe62G9IBhG42kiQh80K67PVKl5eai+vnaDfE6hs53OVhWrHgpUOJKCsoJcVg7F4onQVVKhXCHupC2p9HqdOkx6UiPzWXFCN8JK1zyp36vzCUPLrtwA+79U7IYKy2PEKhjVcLb9jZ2932WgBhFLGmvAq5xK7Tti4xktZZMGSImHHp5hYyOBQPvDVKSKwbl7Ow5o3lQmIx06OMIXbzdoeLh6vezwURiwVtpbNg1sUMJOyMIcVo1rE5OgwNE5QRsybhoyLInbfObDgpKBtm64puFGLnl5vJcVre1xr3Pd5bQEbM1jk4OZA6dhdmFgjMhjHGTEv+jC8rkZxc92aXSqW6VfDXsmVLvP322xg8eDDs7Oz0RKgrKysLK1aswMqVK1FeXn4r3p0SEhLQtGlT8vfAGGOMMesVve4Elj71vUn2OvrrAXQb39MkezFWG6VY0DvIF2q7v59hataJNvouI+E6+aaQUsUSC449mjZGUHf9o77aD+oEJ3dnVMrs+KKr1iJ+xzn0mNSHkiJjd0UpFvQK9EFAWCBUahUknbzCrgzuLEgSu5XWVbB5eCC8g/R3JpLLO9AHncd0w7mNp2XHSIlOQtLJK2jVkzbmmtkubbUWeal5stfr68jVPDSQVFiSFpcKvzb+stfbsvy0PGRdzJC9Xm2nRrv+HQRmZF4PfzoR5/fECungdmTpfoSPikDEuB4CMmOmIkkSqTtqfV0FgZujBRs390ZBmrxjZOaFdFSVVcLR1UluehZh/3e7yDEGvfKgkE6gzPrYOdij99QB2DVHfgFXyulrqCqvgqOLo8DMmC3aNGMtKorLyXEe/eoJqNU23y+JCeLh74nSvBJZa4t4DDFjzIrZ/G/KGzduv9hfU9inUqnQs2dPbNiwAcOGDTO4UBAA/P398dZbb2Ht2rVo0aLFrbh3ys7mp2gZY4wxJasoLseq13812X5x286iMIM+poGxhqgqr0IR4SnKmhHENZp1ak7KJz3+Omm9klG7k3YeFVHvxVgHJwd0ejCcFJ+7pzJj0lRUoSBN/u9Q39ZN4ODkgCZt5T8wmJWYDm21VvZ6pYvdRhujTh0jXZ+BLw0jxzjw4x4BmTBbVZieDx3h2OET7FfnNUpnQQBIj+PzsfpQuwoG92wD50YugrIxPwcnB0xb+SocnMWMCfzt+cVCRhcy0ynLLyUVhug7htUWGNFSdmxJJ+F6TIrs9ZagorgcR3+ljYB19nBB76n9BWXErBF1FLFWo0Umd1Fn93DxwHkcWryPHCd8dARCBtlGF2ZmGh5N5XdPLcriYkHGmPWy+WJBnU536//XLujz8PDA/Pnz4eqqv0W9Idq0aYMFCxbAwcGhTnwAKCzkXxCMMcaYku2etw2FGaZrRS/pJBz77bDJ9mMMoI2MAure3KGMIQa4M5dclaUVuLCPdvO6vhHEtz4/mjaKOG7bWWg11aQYjNUnNzmHNOrVr1UTALSCZ61Gi+wrWbLXK1lJbjGuHL1IimGsYsGOD4STO6ydWhUlu9MBs325yfI7cgGAT0t9xYKBpJjp8amk9bYscV88ab0t3vxu1rE5Jnw9RUis0rwS/Prsj7fdE2CWjfx+8i6dBQEgKEJ/53NDpUQnkdabW9TyQ+QuXX2eGQhnd2dBGTFr5N++GdoNoHW15YIadjdV5VX47YXF5DgqtQrjv5gsICOmJB5NG8teW1lSgQqZU1QYM7eirEIknbqKy0cSkZmYTrouyqyTzRcL+vj43Pbnmq6CY8aMgbe3Nzl+hw4d8OCDD+r9x9OoUSNyfMYYY4xZp+qqahw0QxeYo78e4JN6ZlI51+SP7QQA3/8vsKnh18Yf9o72suNxZ0F5zu+ORXWlRvZ6B2cHdBwWdtevCRvZlTS6qqygDJeP0IqBGKsPZQQxcLOzIHCz4IGCC57lSdgZI3v8MwC4ebujde92AjP6m1qtxoAXh5JiaCo0OPrrAUEZMVtjjEKbgE7NSb+z07izoF6SJOECtVhwSKigbCzLwJeHCSvaPr87FqfXHhcSixkfteDZ9x6dBYO6BZPip0RfI603J0mSxIwgnv6AgGyYtbt/6gDS+kLCRApm+7Z8vA43LmWS4/R9bhACOtEeQmbK49FEfmdBACjmYmhmRSRJwum1x/C/Bz7DO82nY3bPDzGn/8f4qOO/8WG7N7H2rRXIIV5jYNbD5osFmzVrpvf1++67T9geAwboP0lu0qSJ3tcZY4wxZvui150wy1OzmRfSce34ZZPvy5Qr5xrtzeOdY4jt7O3QtEOA/Hyu3kBVWSUpJyWK2Uwb39lhaBgcXZ3u+jUeTTzRqndb0j4xm3kUMTOObFHFgsRR6lwsKA91BHHoiM5Q2xnvElmfZwfC3ok2YvPgor3cKYvpJbrLMwA4ujrBr43865qZF9JRXcXdgO+UdPIK8lLkF0bZO9qjTZ/2AjOyHCqVClN/fgGN/DyExNv80Z/QEsZzM9MxxjGstqCIYFL81LNJpPXmdGFvHDIvpJNihI7oAv/2+u+xMWVp2lH+dRoAKMrkYhqmX0r0Neyeu5Ucx9HVCQ9/PEFARkxpKGOIAe6cyqxHZWkFlj23CD89/i0u7I2v89BtztUb2PO/bZjR7k0snfo90mJTzJQpMxWbLxbs1q0bPD3rHuS9vLyE7eHnV/cNqVqtFlqQyBhjjDHrErlwp9n2PrJ0v9n2ZsqTSy4WrHsjmlJsI0kSMhMzKCkpjk6nIxfaGDpimDqKOGYLFwsy46B2FvS7VSxIHKV+nrtxNZROq0P8jhhSjPCRxhlBXMPdpxHue6wXKcaNS5m4sJfWkYzZptwk4hjiYP0jPCmjiHXVWiHdYWyJJElY/+4qUozWfdrD0cVRUEaWx8PfE1OXvCAkVtbFDFzYGyckFjMuYxcLegX6wM3HXXb8tNhUqy1+jlxI7yo4+NUHBWTCbIEnYUwnABRxZ0Gmh7Zai+XPL4ZOS38o6oG3RsGzmbh7/0w5PPxpxYLcOZVZg/KiMswb+hmilh2859fqtDocX3EYn3R5FwvHzMHlwxdMkCEzB5svFrS3t8dDDz1UZxxfcXGxsD1qx6oZcxwREaG3SJExxhhjti/59FVcjbpktv1PrT7GndWYyeQk0QpsfFrVvblDLbbhUcQNk3zyKvkp2PDRhhXadHm4O2mfG5cykZlI647BmD7UERs1nQWbhjQjje7kzoINd/XYJZTmlcher1KrEDqii8CM9Bv4Mn2E34Ef9wjIhNma3BT5xy+VSgWvFj56PxcQSjsfS4tLJa23NfE7zuHi/gRSjA6DOwnKxnJ1Ht1NyPESAE78fkRIHGZc1DHE+kap16ZSqUjdBbUaLTISrO/9Zc61G+Su7E3a+pvkHIlZB3IxDXfeYnrsnrsVqWeSyHEaNfHAg/8eRU+IKZIHsRiaxxAzS1dZWoGFo+cg6cSVBq+N3XoGcwZ8gq/6z0LMlmieeGFjbL5YEABee+21OoV7586dExY/Pr7uk90vvviisPiMMcYYsy6R39Gf3qaoKC5H9PqTZs2BKQdlDLGjq5PeUWPUm9MZXCzYIOeIN5ECI4Lh1dzboK9t1ql5ndHTDcWjiJkxUDoLOrk7w923EYCbxzV9RdCGyryQLqSrgpLEbqV1Rm3Tpz3cvOV3HDJUq15tEdi1JSnGuY2nkH89V1BGzFZQOgs2bu4Fe0d7vZ+jdBYEgHQuFrxFp9Vh/bt/kOOEKKBYEAAmzHkCTTvQxl0CwJkNp1BZWiEgI2ZMlM6Crl5ucPF0vefXBUa0kr0HAKREJ5HWm8P+73fXaaDRUAOnPwi1WhG3EJkBHF2d4OzhIns9dxZkd8q6mIEtH68TEmvMrAlwbiT/55MpmydxDHEhj1lnFqyqvArfjZ2Ly4cTSXGuHLmI7x7+Gp92eRfHfjsErcY6O2+z2yniTN/Hxwfvv//+ra5/kiRhw4YNqKigXyyorKzEhg0bbsVVqVQYMGAA+vfvLyBzxhhjjFmbkpwinPwjytxp4Ogv+82dAlOI3GvyC2x8W/np7cBFLRZMt8LOD+YUSxzt25DRwiqVijyKmFrcyNidJEkiFQv6tW5y27GMMkpdU6Ehj+NTGmqxoLFHENdQqVQY8NIwUgxJJwkZKchsh06nQ16K/GLBu43vbE4tFuSHN245vuIw0mJpxZOOrk4I7tlWUEaWzdHVCdNWvgo7BztSnMqSCpzbxOeNlkySJFJ353uNIK4R1C1Y9h4AkBJ9jbTe1KrKKnFk6X5SDCc3J/R9dqCYhJjNoIwipk4zYLZFp9PhtxcWQ1OhIccKCAtEv2mD6EkxxaJ2TuViaGapNJUaLJrwPyTuq9v4TK70+Ov45ekf8GG7f2Hfgp084czKKaJYEADGjh2L559//lZBX25uLj799FNy3Llz5+LGjb9vKgQFBWHOnDnkuIwxxhizToeX7Ed1Jf1CB1ViZAJyCEVcjBmirKAUZQVlstfX133Lt3UT2Ds5yI7LYzwNl5ucjesxKaQYncc0rPivoV9/pytHElGSW0yKwVhtpbnFqCgul72+ZgRxjWYdueDZVPJScsgFOOGjugrK5t56PtGX1JEFAPZ+swPZV7MEZcSsXWFGAbQarez13ncZ39mkXVNSsRZ3FrxJU1GFjTPXkuOEj+pabxdIWxQUEYyxnz5GjsOjiC1bWUEpKorkn4MZXCxIGEMMAKlnk0nrTe3E70dRll9KitH7qf4GdW1kyuJB6L5VxJ23WC2HF0fi0sEL5DgqtQpTf34edg7KOUdi4rn7eeh9mN1QRTf4+MYsj1ZTjcWTvkXcdnHTVmvLS8nB6n8uw3vBr2PP/O08JcVKKaZYEADeeust3HfffZAkCZIkYf369Xj77bdvK/ZriNWrV2P58uW3dRX8+uuv4eFRd5QaY4wxxmyftlqLAz/sERJLxOiEqGUHBWTCWP0oI4gBwDe4id7X7ezt0DSkmey4OVdv8FNtBorZQuvI5dmscYM7dbQb0JFULCPpJKNd6GDKlE3oKggAvq1uP5YFhMrvLAhwwXNDxG47S1rvFehDHrXaEM7uzuj9FG0SRXWlBmv/tUJQRszaUTuR+rSsv9DG3tEe/iHyR8FmX+HzMQDYt2An8lPp48P7/WOIgGysywNvjUL7QbTRy/E7zqE4u0hQRkw0yhh1APC5S8FzbX5t/eHk7ix7n9SzyVZzA1SSJEQu3EmOM+iVBwVkw2yNB6GzYHlhGarKqwRmw6xVfloe1v3ndyGxhv7zIbRSSOdlZjx29nZw92skez0XQzNLo9PqsHTq9zi38bTR9yrJKcbaf/2Gr/rPQv51+vteZlqKKLWfPn06Tp8+DUmSUFpaeqs6XJIkbNmyBdu2bYOvry/s7Rv215GZmVnntRdffBEuLobd+AoPD8f8+fMbtCdjjDHGLFfslmjSGDAAaNWrLUbPHI8OQ8Pwadd3kXkhXXasqGUHMWrmeKjVino+hJkQtXulbz2dBQGgWWgL2R3vJElC5oV0BHVrJTc1xYghjiAOHxXR4GOMvaM9Qod3xum1x2XvG7MlGr2n9JO9nrHaKCOIAT2dBTvROgtmnOdiQUPFbqOOIO5K6iAgx8CXhmH/d7RRwuc2nUbstjMmG6HMLBe1WND3Hl25moe1kN0hUJIkZJxPQ8vurWWttwWleSXYMXsjOU6rXm3RcViYgIysi9pOjUnfTMUnXd6VHUOn1eHUmmMYzIVPFsnYx7AaarUagV1b4vLhRFn7VJVV4salDDTtQHsgxBQuHbpA7hwfMiQUAaG081lmmzyaEEd1ZhUa/O+W2SZJkvD79KWkrrI1fFv54eFPJgjIirGbo4iLb8h7wITHEDNLotPpsGzaIpxafcyk+147dhkLR8/B24c+EtIIhZmGIu4cR0ZGoqioCEVFRdBqtbc6C9Z0BNRqtcjKykJaWlqDPrRa7a0YwM2TnLy8PIPX79xJf8KLMcYYY5Zj30LajV8AmDDnCYQ9dHPEVJ9nB5Ji5SbnIDEygZwTY/XJpXYWvEuxYACx2CY9nsd43ktFcTkuEo8RckcKdx5NG0Ucv+McqquqSTEYq0HtLOh3R7Fg0w7yO3EB3FnQUFXlVbiwN54Ug3oskiMgtAXaD+xIjrPmjeXQVGoEZMSsWW4y7UGlu40hBoCAUFrnzfQ4ZZ+P7fhiE8oKyshxxn852eSFzZaieXgQWnQOIsU4vvKwoGyYaOTuqA0oOqKOIk6JTiKtNxURXQWHvMrFtUw/yhhigAtqGHBqzTHEbKY9tFpjyqJ/wMlNftdYxmqjdE4tyiq8VSvCmDlJkoTfX16KY8sPmWX/6zEpWP78YrPszeRRRLFgzQFapVLddmGlpmCQ8nHnwd/QdYwxxhizLekJ15G4j3bDOrBrS7TpG3Lrz72f6g+1He107eivB0jrGbsbamdBn1b6xxAD9DGeXCx4b+f3xJEK7hycHdBxqLwuN2Eju0Kllv++qKKoHJcOXZC9nrHaRHcWdHZ3Nngsnj6Z59Og01nHqDtzurg/ARrCKDMHZweEDKaNt5RrwEvDyDFuXM7C3v9tF5ANs2b0Qpt7FAuG0R7eSJPZldAW5KXkYN8CetFO+OgItB9ALzC2Zj2f6Etaf+3YZWRfyRKUDROJegy7V8FzbS2HjLwAACAASURBVNSu89ZQLJiXmouzG06RYvi09EXnMd0FZcRsjSehmAbgYkGlK8ktxurXlwmJ1eeZgeg4LFxILMYAwJNQDK2p0AjplskYhSRJWPPGchxavM+seZxecwznNhl//DETQxHFgnfDld6MMcYYE2G/gK6Cg1558LaHCjybNkboQ11IMc+sO4HyQno3C8b0yaGOjbrHGGIKHuN5b9SnuTsMC4Ojq5Oste4+jW4rjpZD1NPojFEKn1Uqld7CwGad5Bc8V5ZWIj81V/Z6pYjZQhtBHDIkVPYxjCpiXA94+NM6swDA1v9uQP51/llRMnJnwaC7F9o0DyN2FlTwwxubPvoT1cTunyq1CuNnTxaUkfXqMbkP+eH7E78fEZQNE4l6DGvIwxmB1M6CZ5NI601h/3e7oNPSHjgZ+PID5IdWme2idhYszCwUlAmzRmvfWoHibHljXmvzaNoYE+Y+KSAjxv7WSMCYdcbMRZIkrH93lZCH1UT4/ZVfUF7E9yStgaLO+mvGD9f3upwPObEYY4wxY6sqr8KBH/fgl2d+wLyh/8VX/WZh1evLcHLVUWg1PLZRtPLCMhz7jdba29XLDT0n96nzep9naKOINRUanFwVRYrBWH0oY4jdvN3h4uFa7+f9WvvD3slBdnwl35w2hE6nQ+w2WqENdXxn59ERpPUxm0/z+ysmBKWzYOPmXnBwdqzzerOOxIJnHkV8V5IkIY54DAsfSTsGUdg72mPoGw+R41SVVeLPt1cKyIhZqzxCoY1ns8ZwuMe5lk8rPzi41D3GGSotVpmdBa/HpAgZ/dTn6YEIID5AYwu8A33Qjji+/fjKI3zeaIEonQVdG7vCtbGbwV/frGMA6f1lavQ1i/4ZykvNxb5vd5BiODg7oO+0QWISYjaJOwsyueJ3nhM2FnPygmfg5uUuJBZjNajHt0I+vjEz2vLxOuyas9ncadxSkJaHvz5YY+40mAEUVSzIGGOM2TpJkhC5cCfeD34dv09fimPLDyExMgFXjl5E5MKd+PmJhfi063tI2B1r7lRtStSyg6gsrSTF6DdtsN7uNp1Hd4O7byNSbB5FzIxBkiRSZ0Gfu3QVBAC1nRpNOwTIjp97LRtVZbR/l7Ys6cQVFN+gPdFNLRbsMoa2PudaNheFMrLqqmrkEbr43TmCuAalsyDAxYL3kpGQRu5GFD6qq6Bs5Bny2vB7dnUzxKnVx5AYGS8gI2ZtdDod6d+BT/Ddz8UAQK1Wk4rVCtLyUJpfInu9tdrw3h/koiIHZweM+fhRQRlZv15P0kYRZ13MQPLpa4KyYaKQ3k8acAyrzc7BHs3D5XdLLSsoI597GNPGGWugqaB1M+35RF+4+9CuPzHb5kEtFuTOW4pUUVKBFS8uERKr67ge6PZoTyGxGKutEbHzfxF3TmVmsuPLTdjyyXpzp1HHge9340rURXOnwe5BUcWCKpXKIj4YY4wxY5AkCev/8wdWvb7sri39M86n4Zvhs3FsxWETZme7dDodIr+jjSBWqVQY+PIwvZ+zd7RHryf7keJfO36ZR7Iy4YqyCqEpr5K9/m4jiGsEhMovtpEkiX/u74I6wjeoeys0DvAixfAPCUCTtv6kGHvmbSOtZywvJQeSTn5Bh7GKBbkQ9u5it9K6CgaEtoBPy4YVGYjm6OqEiXOnCIm16p/LuXu4AhVnFZLG3BpaaBMQRuyUqrDjWWJkPOK2nyPHGfrPh+DVwkdARrah26M9Ye9oT4pxnK+BWJSyglJUFJXLXt/QYkEACKKOIo62zILTlOhrOP4b/ed78KsPCsiG2bJGfo1I9zi5WFCZNn6wGnkp9GJrF09XTF7wDD0hxvTwJI5Z5+MbMzVJkrBzzmZseG+VuVPRS5IkrHjhZ1RX8bUqS6aIYkF7+5sXEijjhkV/MMYYY6JtmrkWu77eYvDXL5+2CIn7E4yYkTKc3x2LG5cySTE6j+kG31b6iw0AoM+ztFHEAHD0F+4uyMTKuSZ/bCcA+AbX/zNfo1knHuNpLDFbaMWC1K6CwM1C6XBinKjlB5GeoKwiBCYWZQQxAPjV8/u7WUdiZ0Eudr4r6hj18FHmG0FcW8T4Hug4LIwcJz0uFfu/3y0gI2ZNqB2ufAzsbNk8VH4nLgBIi1PO72mdTod1//mDHMfN2x3D/zNGQEa2w7WxG8JH047dp1ZHQVutFZQRo6KMIAYgq+g/qFsr0p4p0Umk9cYgSRL+fHsl+Z5T234hCOwaLCYpZrPsHOxJ0094TKey6LQ3H7CPXEh7yL7GhDlPkh9aZaw+5M6pfHxjJpR/PRffjvwS6wW89zSm9Pjr2DXH8HvWzPRoj+NZiZdeegknTpywuCK9kJAQc6fAGGPMRsRuPYNtn/3VoDVajRZr31qBD059xp1vCURc8Bj0yt2f3m7ROQhB3VshhTA26dhvh/DIZ4/BzkERp3/MBHKv0W7uGNRZkDtzGUVucjbSYlNJMagjhGvH2Tt/u+z1kk7Cxg/X4OX1/xKSD1OebGKxYH2dBV08XdG4uTcK0vJkxc1ISIMkSXyOpkdpfgmuHKGNMrGUYkGVSoXHv3kan3R5FzpiAcumj/5Ej0l94EEcn8SsB7nQxkSdBdPjaOcc1iT6zxNIPnWVHGfkB4/AtbGbgIxsS68n++HM+pOy1xdlFSJxXzw6PdhZYFZMLvoxzLCC59oCI1qS9kw9m0RabwyxW88gMZL+IPDgV4cLyIYpQSN/z7tOtLkbHtOpHKlnk7DipSVIOnFFSLyQwZ3Qd9ogIbEY04f6PpqPb8wUJElC1LKDWPPmbygvLDN3OgbZ+t8N6D6xF/zbNzN3KkwPRdwtfvXVV82dAmOMMWY0OUnZWDr1e1lrU88k4eqxS2hzf3vBWSlD9pUsxG07S4rhH9IMHYaG3vPr+jwzkFQsWJRViLgd59BlTHfZMRirLYdYLOhzl26aNZqFEm9Oc8c5vagjiBsHeCGQOMKrRtt+IXBt7IqyAvkXOM7+dQpXoi7y7zImC7WzYH3FgsDNUcRyiwUristRkJbHIyj1SNgZA51WJ3u9q5cbWt/fTmBGNM06NsfQ10dg97ytpDgVReVY/94feGbpS4IyY5YuN4nYWdDAQpuAMFpnQaU8vFFdVY2/PlhNjuPT0hcDpz8gICPbEzayK/m88fjKw1wsaCFyyMewhncWbB4eBLWdWvZ5hKV1FtRqqrHund/JcRoHeCFi3H0CMmJK4NnUU/aDAEWZBfxAlI2rKKnAllnrsPeb7aT3bLU5uDjiqZ+e558bZlRuPu6kc4SiG1wsyIyrMCMfK15aQr6uX58nf5iGwK4tseOrzTj31ylhTdiqKzVY8eLPeHPvB1CrFTH01qrwfxHGGGPMimkqNVg0cT7K8ktlxzix8ojAjJTlwA97yCfNg1950KCT5J6T+8Dekfacx9FfD5LWM1YbeQyxAZ0F/Vr7w8HZQfYeGQq5Od1Q1BHE4aMihF2ktXOwR+hDXclxNry3yuI6yTPrQD2W+bX2r/dz5FHEPEpdr1jigxqhwzvDzt5OUDZijJo5jjz2CACifj2IK1G0rovMeuQmU0d4GlYs2DjAC66NXWXvkxaXqojf0Yd+2ovsK1nkOA9/+hgcnOSf/9oyBycHdJvQixTjzIZTqCytEJQRozBVd9TaHF0c0ZRwflaUWYDCjHzZ60U7/HMkMi+kk+MMfeMhnkLBDEY5Z9VUaFBRVC4wG2ZJLu5JwKzQt7F73lZhhYIA8PDHE+DXpv733YyJoFarSd0Fecw6MxZJknDij6OYFfaO0QoFH/vfUxjw4lC06tUWL697E7Piv0LfZwfBzkHMtbOLB87j6NIDQmIxsbhYkDHGGLNia9/8jdRtDgAuH04UlI2yVJZW4MjSSFIMJ3dn9J7a36CvdfN2R1fik94xm6P5KTcmTA715o4BN6jVdmo07RAge4+ca9l8M/AOFcXluLj/PClGZ0EjiGv0mHQ/OcalgxcQv+OcgGyY0lDGEDu6OqFRE496P9+MOkqdiwXr0Gl1iNtOKxYMG2kZI4hrc/FwxaNfPSEk1qrXlwm9OccsV24yrSuXd0vDCm1UKhWpu2BpbgmKsmz7PUh5URm2frqBHCewa0v0fKKPgIxsV68n+5HWV5ZU4Nwm49xkYw1jqoLnOwV1Cybtm3ImibRelPKiMmyetY4cxzvIF4NeeVBARkwpqKM6uaDG9hRlFKB7XiesmbYM+am5QmMHdW+FoW88JDQmY/VpRDi+Fdv4+x1mHkU3CvHTY99gyZMLSQ1j7mbc7EkY+s/bj7NNOzTH1CUv4LMr89FrCu39V41176zkcwALxMWCjDHGmJU6vvIwDvy4hxwnLTYVZQXGOdG0ZSd+P0oafwQA9z89AC4ehnfp6PPMQNJ+umotd5JkwuQSunE1DvCCg7OjQV9LHUUsotOCLUnYFYvqqmrZ6x1cHNFhaJjAjIDwkRF3HeVqqA3vr4ZOxwUyzHCSJJG6QPm2bnLXLpsBxGLBDB6lXse1E5dRmlsie71KrULYCMscP9nryb5o2y+EHCfl9DUcXkJ7oIVZB0pXLg9/Tzi6GHYuBgABxPMxueMKrcXur7eiOLuIHGf8F5N5NNM9tO0fAq9AH1KME7/ze2JLQBml7trYFa6N3WStDYoIlr0vYDmjiHd8sUnIceeRzx5r0O8DxjyJ3bBt/QECJdFWa7Fn/nb8OHQumlU2vNvrvajt7TD15xcsris8s12eTeUXCxZlFfI1SSZU9LoT+DjsHUSvO2G0PUZ/9ChG/Ofhej/v1cIHTy1+njw5BQDKCsqw+o3l5DhMLL76wBhjjFmh9PjrWPHiEiGxJEnClSM8rqwhJElC5MKd5DiDX3mgQV/fcVg4vFp4k/Y8+usBRYwBY8alrdYiL0X+08I+BowgrkF9M5rOo4hvQx1B3HFYmPCbSWo7NR7+eAI5zvVzyTi1KkpARkwpyvJLSWOw/O5R5EoZcwcAGee5s+CdqA89tO7dDu6+9XeDNCeVSoVJ3z4NlZo+5v2v91ejJLdYQFbMUkmSROos6N3AjlyUzoIAkBZnu+djhRn52D1vGzlOx2Fh6PSgZRYzWxK1Wo2ek2ndF+N3nBNSZMVoKAXPckYQ1wgkFgumnk0irRchLyUHe+dvJ8cJ6t4KPYj/npjyeBCKaQCgKJOLBW1B0qmr+KL3DKz912+oKq0yyh7D3xmDwC4tjRKbMX0onQW1Gq3ROr8xZSnJLcbPTy7EoonzUZJjvOs6w98Zg9Ezx9/z6xycHDDlp38I2fP0mmPkexNMLKssFtRoNKiqqqrzwRXbjDHGlKCiuBw/TvgfqsoqhcW8dOiCsFhKcOnQBaTF0rpjdBwWhqYdGlZEoLZTo/dTho0trk9abCqSiaOrGcu/nkcacejbyvAucuRONvFcbFNDp9UhdusZUozOo8WOIK7RY3IftOgcRI6zceZaUudEpiyUEcTAvY9l7j6NSGO6MhLSuMC/lpOro7D/+92kGGEjuwrKxjgCuwZjwIvDyHFK80qwacZaARkxS1WcXQRNufwbsw0ttGlOLBa05c6CWz5eL+S9+fgvJgvIRhl6PdmXtF6n1eHUmmOCsmFylBWUorxQ/qQGUrFgV1rhiSV0Ftw4Yw00FRpynIlfT+FupqzBPKidBXkEoVXT6XT464PV+KL3DKMeD/1DmmHUh48YLT5j+nj6c+dUZl6xW8/g4/D/4OQfR426z5DXhmPc7El3nZZSW9u+IRj4Ev1aFQD8Pn0pKorlP7jNxLI3dwINNWbMGFy+fFnv51QqFcaOHYvZs2ff9vqECRMQHx9vivQA3HzCcciQIViwYIHJ9mSMMaYMkiRh+fOLkZWYITTu5cOJQuPZOiFdBV8dLmtdn2cHYvvsjaS9j/5yAMH3tSbFYMpGGUEMAL4NuLlDLRbkMZ5/u3w4kfxEYufREYKyuZ1arcYjnz+OhaPnkOLkXL2BQ4v3YfArDwrKjNmyHGqxoAHjs5t1ai77gnFZfimKsgrJo75sQUr0NSx7bhE5Tvgo4xzDRBr76UScWhNFGrcMAAd/2ot+zw8hj1tklonSkQsAfFo2rNAmIJQ7PeuTmZguZOx3zyf6IKhbKwEZKUPz8CA0Dw8kPcB34vcjfL5oRqY+htXm4uGKJm39ceNylqz1uUnZKM0vgZuXu+wcKJJPX8Wx3w6T43QZ2x3tB3YUkBFTGup7k0IuFrRaVeVV+GXq90YdiVlj6uLn4eDMI9KZaYnonBrQiXYdmynXvm93mGRM74AXhuKx+VMNLhSsMW72JJzbdBoF6fmk/fOv52Hjh2vw+DdPk+IwMazusaFLly5BkiS9HzqdDps3b66zJi4urt41xvjQarWIjKRfKGKMMcbutP+7XThthCfgk05eQRWhM4WS5F/PxdkNp0gxfIL9ZN+sbtK2Kdr270Da/+QfR6Cp4P/eTL6ca8SbOw0YQ+zbqgkcnB1k78XFgjdVFJdjxYs/k2K0vK81PJt5CcqorrCHupKPbwCw7b8bUFFSISAjZuuoxYL3GkMM0EepZyRwd9TCzAJ8/8hcUhc1APBq4S2kg6mxuXm7Y9znk8hxJJ2EVa/9yt0pbVRukvwRxADg08AxxO6+HqROQunx121yIsyWj9eRum0DgL2jPcZ++pigjJSj15P9SOuvRl1C9hV5xWKMjlos2NBR6ncKJBbnpp5JJq2XS5Ik/Pn27+Q4ajs1dzNlsnn4e5DW8xhi66TT6bD0qe9MUig48OUH0LYf/doQYw1FmQwBcOdUJt+ur7eYpFDw/qcHYPL3zza4UBAAXDxdMWnBM0LyiFy4C9eO628Ox0zL6ooFgZsdBPV9AIBWq23QGmN83C0PxhhjTK6rxy5h7VsrjBJbq9Ei6cQVo8S2NQcX7SXfEBr48jCo7eSfhvV5ZgBp/7KCMpzdeJoUgylbDrWzYAPGEKvt1GhKKLbJuZaNylJlF45JkoQVL/6MrIu0rrTGGkFcQ6VSYfxseoFMUVYh9s7fLiAjZuuyr9KKBAzrLMjdUSk0lRr8+Oj/kH89jxwr7KGusi6ImkPf5wahpYAu0FeOXsTxFfTuQ8zy5CYTH9wIbnihTfMw+cezypIK5KXkyl5viTIT03FqNf1BvoEvP9Cgc2N2U4/JfcjH9BO/HxGUDWuoHGLBs6+MY1ht1K67KdHXSOvlitkcjYv7E8hxBrw4FE1DAgRkxJTI1dsdans72euLsriYxhpteHcVzqw/afR9/EOaYdzsx42+D2P6kMes8xhiJsO5zaex/j9/GH2fHpPux9SfX4BaLf++ZMS4Hug6rgc5F0mS8NsLi6HVVJNjMRqrLBYEUKebn5w1xvhgjDHGjKEkpwg/Pf4ttBrjFaNfOnTBaLFthaZSg0OL95FiODg7oO9zg0gxuk/sDSc3J1KMo7/sJ61nypZD7ATh24DOgsDNMZ4UGefTSeut3cEf9+DkqihynM5jjFssCABt+rRHl4e7k+Ps+noLSnKKBGTEbBm18NnHgJHq5OOXgjsLSpKElS8vwdWoS0LihRtpjLoxqO3UmCzoie117/yO8qIyIbGY5SB3FjTg+HWngNBA0p7pcfJHxlqi7bM3kq8FO3u4YOQHYwVlpCzegT5oRxyhenzlEb6ebybkMcQyjmG1UYsFU88mkdbLodVUY91/6F0FnT1cMPqjRwVkxJRKrVaTum8VcmdBq3Pwp73Y9fUWo+/j4e+J6X+9BRcPV6PvxZg+nsQxxHx8Yw2VnnAdS6d8b/T3JP2fH4Jnl71MamBSY/KCZ+Ds4UKOkxabip1zjP+7hd2d1RYLMsYYY0qh0+mw5KnvkZ9q3E4Mlw9zseC9nF57HMU3aMUnPSf3hbtPI1IMZ3dndJ/YmxTj/O445Bn5Z4rZrlzCGGK1vR28Wvg0aE0AtTNXvHI7cyWfvoo1b/5GjuPVwhuBXVsKyOjeHvnscXKnmIqicmyfvUlQRsxWUcYQNw7wgqOL4z2/jl7srNxiwb3ztyPq14NCYjm5OaHDkFAhsUylVa+26PPMQHKcoqxCHPh+j4CMmCUhdxaUMcIzgNBZEADS42znfCz7ahZOrKR3pRv+zhi4+9LGOSpZryf6ktZnXcxA8mnzdIhTOnp3VFqxYCC5s2ASab0chxZHIiuR1ikeAB56bywa+fFxh9F4EApqeEyndUnYFYM/XvnF6Pu07d8BH5z+nLueMrNqRBxDXHyDiwWZ4UrzSvD92LmoKC432h7OjVzw1OLn8eSP02DnYC8kZuMAL4z/YrKQWFs/3YCsS/TzWyYfFwsyxhhjFm7bf/9Cws4Yo+9z5eglaKuN17nQ2kmShMiFO8lxBr36oIBsgD7P0m4eS5KEI0v3C8mFKQ+lG5d3kE+Dn2ILCCXenFZosWBZQSl+euwbVFfRW/qHj4ow2fjOgNAW6D21PznO/u93Iy+F1nmJ2S6tppo0EtOQEcQA0MjPA24+7rL3UWpnwfid5/Dn2yuFxev1ZD84uTkLi2cq42ZPgosnvbPGnv9tQ1VZpYCMmKXIS5b/+83dt5Gsfw/Nw2idBdPibaez4I7Zm6DT6kgxGgd4YdgbDwnKSJm6TegJe0faTS8RRZ+s4SjHMBdPV7g2diPt38jPA14tvGWvz0rMQGVpBSmHhigvLMPmWX+S43gH+WLoP0cIyIgpnSdhVGfxjSLodLTfocw00uJSsWjiN+RznrtxbeyKKYv+gbciP0TjAC+j7cOYIVwbu5HOLQu5GJoZSFutxU+Pf4PsK1lG26PjsDB8FPsl+k0bLPyafv8XhqBtvxBynOpKDVa+tIS7vZuR1RYLqlSq2z7krDHGB2OMMSZSwu5YbPl4nUn2qiypwPVzySbZyxpF/3kcSSeukGK06duePO6mRtt+IWjS1p8UI3LBTlSUmO4CN7MNVeVVKMyQf/GjoSOIAXqxoBI7c0mShGXTfkIOoQtkbV3G3ickjqHGzHqUfPO3ulKDzbNM8zuUWZ+81FzSTQ9DiwVVKhWaEbqjFmcXoThbWSO1sy5mYPGkBZB0Yi4WujZ2xeiPxguJZWoe/p54+OMJ5DjF2UU4tHifgIyYJZAkiTTCU25HLmqnVFvpLJiXkoOo5fSup2NmTYCjq5OAjJTLtbEbecT8yVVH+aFJMzDHMexOQd1ayV4rSRKun0sRkochdnyxCSU5xeQ44z5/HA7O9+6Mzdi9UMYQ67Q6lOaWCMyGGUNhZgEWjp5j1I5XPZ/si4/Pz0X/54dArbbacgVmQ1QqFam7YBGPIWYG+vOtFbiwN94osZ3cnP6PvbuOjurc2gD+zEwm7koSEiSQ4E6KB3d39xaKt0ihLW2R4i1OaUuRFne34lLcnQQngbh7Zub7gy+9FE3Ofsf3b62se29vz55dyZmZc/Z5Nrov6Y+RBybA1T//GwXyQi6Xo+evA6FQKsi17h29jcPz9gnoiklhdO++uQN5Go3mrR8AUCje/pdSLpe/88/X1g8AWFiIifJkjDFmvuKexeKPHot0+lRF6Ml7OnstY5KRkoGNX64m16k3VEyqIPDqM1F14mq61LgUnPz1sKCOmLmII66Mci+ctwGb17kV9oDSWin5Nc0xWfDw/P24uu2CkFoufm4o1aiskFp55VbIAyGfNyLXOfPnCUTcNr9//uzjKCuIAcC9SN7PZT4leRVxXqUlpGJxmzlIT0wTVrPXss/g5G28KRUhQxrBh5joBgAHZ+9Gdma2gI6YvqXGJiMzVXpSpJQVxMCrFUaUIZ2Xd8JNYihr/8xdUGXT/jq8S/qiet86gjoyb8HEVcRJkYm4d0Q7N+rYu6UlpCItQfr7vFthMTc96auIdbPCOvZJNA4JuIFaqEpRVOlaXUBHjAGOhGRBgFcRG7qstEwsaTNHa5saPIt5YdTBCRjw11DS4Clj2uBEWbMeycOC7ONOLTuKIwvpG8zeJTCkJCZem4GQwQ21HnLmXdIXzSa0EVJry1fr8PBsqJBaLH+MbqKtf//+uHHjxjsHJxQKBapVq/bWHx83bhzu3dPt8EPFirSnGhljjJk3VXYOfu+6QMiTw/kRduour0J6hz1TtiEhPI5Uw8nbGRXbBwvq6JXqvWtj53ebSMk7B3/ag7pDG/HT5SzPqEl1bhKSBeUKOQqU9MWzK48lvWbs42hkpGTA2t74VlBK8fBsKLaMWyusXodZ3fO9OlqEZl+3wenlx0hPsmvUGuz4diM+3/qlwM6YKYgmDgt65DFZEKCncb24HY7AOiVJNYyBWqXGsu6LEHnvhbCaLb/vgEqCP3/pmsJCgW4L++KnelNIdRIi4nFm1QnU+ayBoM6YvsQS1ncCrwbypfIpU1ByIlhOVg6iw16iQAnaOVGfEiLicXr5MXKd1pM7QWFBT2FgQNnmFWDjZEsaMj+35hRKNS4nsCv2Ifo8h72OuvXh0uZzCO5RE3Yu9kL6eZ/t325EjoBh/45zenByFxOGOuCV+DIRvrp9HpHlkVqtxh+9luDxhYfCayuUCjQd3wbNJrTm69DMYFGGoZOjEqFWqfVyDZUZh7BTd7F26HLhdZU2lmg/vSvqDmus0897TSe0waVN58gPOatzVPitywJ8e3ka7N0cBHXH8sLohgXHjh2b72P69u0rvhHGGGNMi44uOoiHZ3T/JEXYyXvQaDRaf+rEmLy4E45Dc/eS69T+rAF5peabXAq6oWSjsrh94LrkGkkvE3B6+XHUHUJP8GLmgTosmJ8Bm9f5lC4oeVgQeJVmU7hqgOTjjUVKbDJ+67IAakHJPVW71UCVzm8/kKULDh6OaDS6BXb9sJlU5+r2i3h4NhRFqxUX1BkzBeRkQR0PC5qDrV+tw63914TVq9QhGC0mthNWT58CQ0qiatfquLD+DKnOgZk7UbN/XR5SMnKxj4mDNoRULt8yfrix+4rk48NvPjfqYcGDs3eTh3Z8yvihQrsqgjpiSmtLVO74CU79cVRyjSvbLqLHL5m8FlpH0CgfhAAAIABJREFUKCuIAZFriAuTjg89cReTyoxDj18GoHzrykJ6el1qXAp2/bAF59ecJteq0LaKWTx4wnSHkrwFcLKgIdv61TphWypeFxhSEj1+6W/UnwOZeXD0lH5+06g1SIlJ5sRM9k5xT2OwtMM8ckr9m4pWL46+KwbDK9BbaN28UFop0fPXAZhdZzK5VvyzWKzo8wuG7hzDD7joEP+dZowxxgxMRkoGdk3aopfXTo5OQuR9cWkuxk6j0WDd8JXkoRuFUoE6g7ST4lKzX11yjQOzdkGVnUNvhpmFmEe6W935Op9SBUmvaw7DNmq1Giv6/IL4Z7FC6nkFeaPn0gF6HSBv+GVzOHg4kutsm7D+nen0zHxRz2X5SxYknr/umP4q7TOrTuDvn/cIq1ewfCH0XTnYpC4wdpjVHVZ2tEGWmEfRuLDuH0EdMX3R56CNL3EldsTNZ6Tj9SkpKhEnfjtMrtP86zYmdW4yBME9aKuIM1MycG3nJUHdsI+hnsPcBa0hdvZ1JX/PSHyRgCVtf8IfPRchJVbMZhBVdg6OLDyAb4t/gaOL6Cvq5BYKtJ/RTUBnjP0PdQ1xIg8LGqQTvx7G3z+J+04GAHZu9ui7YjC+PPItDwoyo+BIHYbmVcTsHTJTM7Ck7U9Ijk4SVtPCSokOs7pj7Inv9TIomKtYrRLC7n3e3HsVB2fvFlKL5Q1fmWCMMcYMzN1DN5CRJH3lIlXYyXt6e21Dc3HjWdw7cotcp1LHT+BEvJD2PuXbVIadG23tTdzTGJxdfUpQR8zUkW9QS1hDDADepWkXFSNumf6wzcFZu3Fz71UhtZQ2lhi0cSSsHWyE1JPK2t4azb+lJ4PdP34HtwgprMz0UNYQK62V+bpB5uTtDBsnW8mvZ+rDzg/O3MfqQcuE1XPwcMSQ7V/Cys60Vs+7FHRDwy9bkOvsm74DarVaQEdMX+grPKUP2vhQhwWN+PPY3z/tRXZ6FqmGV6A3KnfST2KzKStepwRcCrqSapwTkN7G8oaejiomWVAmk8GvYiEhtc6v/Qc/lB6Ly1vOk+rcOnANUypMwIaRq5AWnyqktzqDGuj1BjIzTeRhmpc8TGNobh24hnXDVgitWaNvCCbfmYPqferwFiNmNKjD0Jycyt6k0Wiwst9SPLv6RFjNwlWL4ptLP6LxmJYGsfa6/YxucPIWc/9zx7cbcf/EHSG12Mfp/98exhhjjP3HnUM39fr6oafu6vX1DUVGcjo2j14tpFaDEU2F1HkXpZVSSP39M3ZCreIbx+zjYgjDgpa2VpLTG6jJghG3jffmdF7cP34H27/dIKxe98X94FvWX1g9ijqDGgi5KbhtwnoekGH/oqwhdi/qma+bHTKZDD6lpZ/DEl8kIDU+RfLxhiw+PA5L289FTpaYhGOFUoHBW0bBrZCYQQJDU39EE1jZ04YgX96NwJWt4leLMd2JfUJ7cMOVMCzoFeRNuhkRbqTJgimxyTi+5CC5TrMJbQziZo6pkcvlqNqNli5468B1oUkf7P2o5zBRw4IA4F+xiLBayVFJ+LXTPPzaeR6SovI3CGWXY4P1fVdgQbOZeHFH3EMi1o42aPlde2H1GMtFfSA6v78jTLvCbz7Db50XCL0u3PbHLuizfBDs3embIhjTJeoKYU4WZG/aO3UbLm+mPVDyujLNymPc6UnkeyUi2TjZouvCvkJqqVVqLOu2kD8r6IjJX50IDQ1FnTp1EBwc/M6frl276rtFxhhj7D/0fQMl7CQPCwLA7slbkRART65TvnVlFPmkmICO3q/usMbk9K+o0Je4tOmsoI6YKYt9JP3mjnsRD8lPE7sV8YDSxlLya78w4iSbj0mKTMSy7guhUYtZs1ujbwhq9A0RUksEC0sLtJ7ciVzn+bUn2D99p4COmLFLjU8hpbW452MFcS7vkrR01Jd3IkjHGyK1Wo0VvZcIvZjefXF/FKtVQlg9Q2Pv5oCQwQ3Jdfb+uJ1XsxsxSsqznas9bBylJ50qrZSkhKqo0JfIzqCl8+nD4Xn7kJmaSarhXsQDwd1rCOqIvekT4ipidY4KFzfy92FdoJzDbJxsYetsJ6wXv4qFhdXKdXnzefxQeizOrj6FuKcxSI1Lee9DEanxKTg4eRdCoqsg7Kj4a3HNv25LXrXM2LtY2VvD0tZK8vGcvGU4El8mYFHL2chIFrflqGa/umg6vrWweozpkhMxOZXXrLPXXdl2ATu/3yysnleQNwauHQ6FhUJYTVEqtQ9GhbZVhNRKfJGA5T0Xc7iJDpj8sOCpU6cQFRWFpKSkd/4kJvJUKmOMMcOh0WiErGZSKKV/WIx5FI348DhyD8Ys4tZzHJ6/n1xHaa1E57m9BHT0YXYu9qg7tBG5zt5pvJaOfVh6UhpS46SnW0ldQQy8SgzxLukj+fjYJzHISMmQfLyhUqvU+KPnIiS+EHMxyqeMH7ot6iuklkjB3WugYDl60uGOiRtx4tfDAjpixowy9AwAHkUkDAuWog0LmuIq4jOrTuDe0dvC6tUf3gS1BtYTVs9QNfyyOZTWSlKN59eeCFtbz3RLo9GQ1hBTUgVz+ZSRnmCgUWvw8q5xDT+nJaTiyMID5DpNx7eBQmkhoCP2LgXL+cO3LG1N9oX1/wjqhn0IZViQskb9XQpVEZcs+LrU2BSs6L0EEwqPwJfun2GodW98btkLX7gOxHj/Yfiu5Gj8WPUbTCz+Jc7/cQpyLdymc/V3R/0RTYTXZQx4lZxOWUXMa4gNQ1ZaJha3noO4p7T18K8Lql8aPZb257XDzGg5UJMF+fzG/t/z60+xovcSYfVsnW0xdMcY2DhJf/hP27ou7AtrR1qoSa47h25i74/bhdRi72fyw4IqlQrAqw+vr//k/rGgoCB9tscYY4z9R1JkIlJjaWvmmoxrhcC6pUg1wk7dIx1vzDQaDdYNXwl1jopcq+n4NnCXMFAgRcMvmpNS1wAg4uYzXN91WVBHzBTFEAds3AvTfh8oazwB4KXAlU6GYs/Ubbh7+JaQWlb21hi0aSQpIUBb5HI52v7YRUittUOWc3KMmYsmrCAGJCYLEocFTW2VempcCrZ+tU5YvZINy6DjTz2F1TNkTgWcUXMAfShyz4/bOF3QCKUlpCIjSXryi4j1nT6laQNZ4TeN63x2dOEB0t9zAHDxc0P1PnUEdcTeJ7g7LV3w0bkHyEw1vYeLDElaQirSEtIkHy9yBTEAeBT1In/HzCt1jgppCWmIfx6HyHsv8PTSI9KDeB/TbloXKK1p14gY+xDKKmJO3tI/tVqNP3otwZOLD4XVdC/micGbR/HDEcyo8Zp1RqXRaHD74HUsaTOHnE6fSyaX4dP1I0gp/7rg4uuKHr8MEFZv96QtuHP4prB67G0mPyxYqFChD/7/7u5in0ZjjDHGKCKIK4gDagaizdTOKF6LNgxvzquIL6w/g/vH6Ck37kU90WRcSwEd5Y2DhyPqfNaAXGffNF5Lx94v9hFxwIaQLAgA3qVoN3JEJLcakvvH72DP5K3C6vX8dSAKBElPb9S2Ms0roBjx/Q14ddFmea/FuH3wuoCumDGK0cuwIO389cLEhp23f70BKTHJQmp5FvPCp+tHGOQaFm1pMrYlKUkcAB6dDROa7Mh0I/YxLflFRCoXJVkQoH/n1aWM5HQhifNNxrWChSXfONe24G60Nc/qHBWeX3sqqBv2LpRkVEB8siAAfNKjlvCa+la4alFU6Vpd320wE0dJ30qNff96bqYbR+bvx9VtF4TVy5RnocuKfkJXxTOmD7xmnUmlys7B2b9OYmrFCZjfdAb5c+/rOs7piVKNywmrp03B3WogZHBDIbU0Gg3+6LEICRHxQuqxt5n8sGC1atVgZfW/k/qbN7/t7e113RJjjDH2XtRBluBuNaGwUKBY7RKkOuaaLJielIbNY1YLqdV1fh+dP8XdaEwL8k2oxxce4s7fNwR1xEwNOVmQPCxITOYyoWHB7Mxs/PXpb8KGe+sMakC+waptMpkM7aZ3FVJLla3CL+3n4uHZUCH1mHGhDgt6FPXK9zEuBV1hZW8t+TVNaQ3xo/NhOPn7ESG1rB1sMGTHGNi5mte1HVd/d1TrVZtcZ++P2wR0w3Qp7gnts5iIQRvfMrRkQWP6PHZsyd/k5C8nb2fUGlBXTEPsg1z93REYUpJUI/pBpKBu2LtQVhAD4pMFAaDBF83I3zMNTYfZPSCXm/ytP6ZnTsRVncmcvqU3MY+jsf3bjcLqWVhZ4ILLTbj4uwqryZi+yGQyOHo5Sj6e1xCbn/SkNPz90x58EzAKK/r8gufXxT58VKNvCBqMbCq0prZ1+rkn/CoWFlIrOSoJy7ovhErAJjj2NpP/xuDg4IDWrVu/9yZacrKYJ9kZY4wxESKIK5lyUx6KfFKMlDYSfuMZ0hJSSb0Yo92TtiLxBf3pr/JtKqNsi4oCOsofF19X1OgbQq6zd9p2Ad0wU0QdFnQjruWmroh6YUJrPI8s2I+oMDE3M/0qFkbnub2E1NK2YjWDUK5VJSG1stIysbDFLKMaWmBiROshJVUmk5FuRMc/i0V6kvS1fYZCrVJj7ZDlQgadZTIZBq4dBu+SpnWDP6+ajm8NmVxGqnHv6G08+Oe+oI6YLsRQkwUFDNp4BHjBwkop+fjwG8aRLJiZmoFDP+8l12k8piWvAtUh6ipiHhbULkMcFlRaKfHpuuFwJA4+GYpKHYIRWIc2NMtYXjgSV3Um8kCN3mwc9Sey07OE1Ws9twsSLPleOzMdlPNbUiSf28xFfHgctoxbi/H+w7F57BrEP48T/hpFqxdH91/6QyajXfvRNaW1JQZtHAlrRxsh9UJP3MWu7zcLqcX+y+SHBQFg+PDhcHR8NQX+5i/T3bvmu2aRMcaY4Qm/RbtxkjtIY2ljiUJVikquo9Fo8OC0ed04DL/5DEcW0FdMKa2V6Dy3t4COpGnyVSvIFbSPeKEn7iLUjFdRs/eLeazfNcRuhT1IqyBMJZkr8WUC9k4VM9Rr7WiDQRtHGtVN7LY/dhF2kSQtPhXzm0xHDPHGJTMulGRBxwLOks9D1NSal3cjSMcbguNLD+Hp5cdCarWb3lUvD2cYCs9iBVBVwIpBfkjEuBjCoI1cISedz+KexhjF8PPJ344gOTqJVMPBwxF1BjUQ1BHLixL1S5OOj+JhQa0iryHWwrAgAPiW9cdXZyajYDl/rdTXFZeCruixdIC+22BmwrEAbcCWV3Xqx7Vdl3Bt5yVh9dpN64pSLYxjNSZjeUUZFkyJSYYqm9esm7Lwm8+wst9SfFN0JA7O2Y2MpHStvI5LQVcM3vIFlIQH9fTJI8ALfZYPElZv3/QduLnvqrB67BWzGBb09PTEtGnT/vPkukwmg0ajwZUrV/DsmXE80coYY8y0aTQavLglfZDFsYAz7N0c/v3fxWrRVhGb07CYRqPBumEroFapybWafd0W7lq6gJ0X7kU8EdydvkqUbxyzd4klJAvaudrDxtGW9PpyuRwFSvpIPj72SQwyUjJIPRiCHd9sREaymAsRfZYPgkdA/leq6pNvGT980quWsHoJEfGY33gaP/1rJlQ5KtKNao+i0hNSqQl4xj7wnBSZiB2C1l190rMWGo9tKaSWMWs2oS25xs29V/H0ymN6M0wn4p4SB20ErCEGAN8ytLRnQ0/1zc7IwsE5u8l1Gn7ZnPSgC8s/10LukFtI37LAyYLaRR8WFHMOexf3wh6YcH4qWkxsT/p3SF+cfV0xZPvo/1wXZEybnIjJgvz9W/ey0jKxYeSfwurV7F8XTb5qJaweY4bC0VP6GmIASI7mpE1TFHbqLhY0n4nJ5b7CmVUnoMrW3lpcpY0lhmwfTX6v1bdK7YPRYGQzYfWW91qCuGexwuoxMxkWBICGDRti4MCBb6260Wg0mD59up66Yowxxv4n/lksafjjzRs2xWsHkfoJO3WPdLwxOb/2NEJP0IcjPYt5ofGYFgI6omk6vg05dev2get4fOGBoI6YKdBoNKQ1xG7EVMFcPsRkLmNfRfz44kP8s/K4kFoNRjZDpfbBQmrpWpvJnWDtIGaVAQBEhUViQbMZSE80/KQjRhP/PA7qHOkX9NwJw4I+pUx7uOZjtoxbI+R3rHBwAHr9NtDo1rBog0/pgqjQriq5zj5+SMRoUJIFbZxsYetsJ6QPn9J+pOMjbhr2+ez08uNIfEFLPLJztUfdIY0EdcTySmGhIA3FRofxsKA2Uc5h1o42ws5h72NhaYHWkzri6/NT4FexsFZfS6SyLSrim0s/wr9SEX23wswIPVmQhwV1bd/0HeSU6lwlGpRGDyNcjclYXlDXrHNyqml5dvUxFrachdl1JuPW/ms6ec0+yweZzOe69jO7oXBwgJBaqXEp+K3LfORkcXqnKGYzLAgAY8aMwYgRI/4dGMxNFzx69CiWLFmi5+4YY4yZu/CbtKRb7zduQAfUDCR9YX984QGy0rNIPRmD9MQ0bB67VkitLgv6GsQqT++SvqjYQcCN4+k7BHTDTEVydBKy0jIlH09dQZzrzXNdfhnzsI1Go8HGUX++9QCUFEU+KYb2M7sJ6Eo/XP3d0XVBH6E1n119gkWt55jFe585o6wgBl4l+EpFXUP84o7xJgveP34HZ/86Ra5j7WCDwZtHGcTnLUPR/Os25BpXtl5AhJEP05sLyg1ekes7fajJgsTvvtqUk5WD/TN3kus0GNlU6IMNLO88AqS/V6fEJBvFmmxjRTmHuRf20NlQil+FwphwdjLaTOkMC0sLnbymFAVK+GD4nnEYtmssHD1pg1uM5Rc17SiRh2l0KjL0BQ7OpqcmA6+uOw/aNAoKpeGeHxmjcPSivafy+c00RIW9xLIeizC10te4uVd362+bfd0WVbtU19nraZuFpQU+2zACti5iHvp5dDYMv3ddgOwMvn4vglkNCwLAkCFD8P333781MLhw4UKMHj0a9+/fF3LzjTHGGMsvarqCb5n/pjvYudiTbuKoslV4fN70k+V2/bBFyNNeFdtXRZmm5QV0JEbzr+lr6a5uv4jwG08FdMNMAWUFMQC4F5Z+0+51PqVpN6cp69717cK6f/Dgn/vkOnau9vhswwiDvvGVF9V610b9EU2F1gw7eRe/dZkPVTY/oWiqqMOClDXEroXcobSRPuRmrGuIVdk5WDt0uZBarSd3hEtBNyG1TEWhykVRmvgZVKPRYP8M+nAU0670xDSkJUgfYhK1ghh4+7tnfoUb8MMbZ/88iXjiaiNrRxvUG95EUEcsvzwCCpCOj35A+6zA3i09MQ1p8amSjxc58JwXCqUFmn/TFt9cmobCVYvq9LU/xtbZFl3m9cZ312agTLMK+m6HmSkH4jBNUiQP0+iKRqPB+uErhSQxOXg4YtjusVpPemVMn5yoyam8Zt2oJUTEY83gP/B9qbG4sO4fnb52+TaV0XpyR52+pi64FfJAv1WfC6t3dftFzG86A2kJ0r9bsFeM++5QHi1atAjXrv0vFjQpKenf/67RaP4dGNy7dy/27t1Lfj2ZTIamTZvi559/JtdijDFmPqhpHu8aDCxWqwTCb0hPbQg9eReBISUpbRm059ef4uiiA+Q6ShtLdP65l4COxPGrUBhlW1TEjT1XSHX2zdiJgWuGCeqKGbOYR9Q0LkFriKnDgncM9+b0h2SmZmDLV+uE1Oq36nO4+osbGNAXmUyGTj/3RFp8ipDEslw3dl/BqgG/oe/KwZDLze75OpMX/ZC2XpCyhlgul8O7pA+eXn4s6fjYx9HITM2AlZ215B704dC8fUIGHQuWL4S6QxsL6Mj0NP+mLXkdzoV1/6DV9x3gEeAlqCsmWuyTGNLxIocFXfzcYO1gg4zkdEnHG2qyoCpHhX0z6Onq9Yc34ZvoekRJFgSA6LCX8DeiFbTGwpDOYfnhU7ogxp2ehENz92Lnd5uRk5mtlz4AQK6Qo86gBmg1qSPs3Rz01gdjAKC0UsLW2Vbygwy8hlh3Lm85j9sHb5DrKK2VGLJjNCltnzFjQF9DzOc3Y5SekIYti9bh6KIDyNbD1hmf0gXR/88hJnstulzLSmgyrhUOzNolpF7oibv4qe4UjNj3FZy8XYTUNEem+W/bGxYvXoxTp079+3P9+nUA+DdB8PWBQRE/arUaBw8e1OdfMmOMMSNEvWHyrtV2xWsHkWqGnbpLOt6QaTQarBu2AmqVmlyrxbftDHLwppmAtXQXN5xBZOgLAd0wYxdDTBZ0E3Qx0bWQOyxtrSQfH2GkyYIHZu5CQngcuU79EU1RtkVFAR0ZBrlcjt7LPkO5VpWE1j23+hQ2fbmaU+dNEHnwmTAsCNBXqb+8G0E6XtfinsVi96StQmp1X9wPCguFkFqmpljNIPIDPmqVWsjqVaY9lPWdgNhULplMRkqxT45KQuwT2l+PNpxfe5qcQGtlb40Go5oJ6ohJ4VmMkwUNkSGdw/JLYaFAk7GtMPHqdATUCNRLD6Ual8XEqzPQbVE/HhRkBoMyUCNiywv7uIyUDGz84i8htXosHYCi1YoLqcWYIaOuIebzm3HJSstCsRR/LKo9Ewdn79LLoKCdqz2G7BgNawcbnb+2LrWZ2hnFapcQVu/59aeYVesHvn9JYBbDgq8PBeb+vOvPkclkQn4AQKVS6fSvkTHGmHFTq9SkxBVXf3fYONq+9cepH7we/BMKVY5pvqedWnYUYafuket4BXqj4ZfNBXQkXkD1QATVL02qoVFrcGCGmKd9mHEzlGRBuVyOAiV9JB8f9zRGcgqOvsQ8jsbBObvJdRw8HdF6kumtMlAoLfDp+hFCLzYAwJEF+3FkwX6hNZn+UYZALKyUcPKmPWHuXfLthzvyw9hWEW/68i9kpWWS69TsV1dvN+eNRfNv2pJrnFl1AnHE9atMe6iDNq6CU7moac+LW89BSmyyoG7o1Co19k2npwqGfN6IB3n0jJqQGhX2UlAn7HXGPCyYq0CQD8Yc/w6d5/aC0sZSJ6/pWbwAhu4cgxH7xpPPu4yJRhkWTOTkLZ3YM3mrkAdPSzYsg2q9agvoiDHDRx4WjOLzmzHIycrB0cUHsbjOTJRILoLMpAy99KFQKvDZxpHwKGr6Wx4UFgoMXDsMDh6OwmrGPIrG7FqT8OTSQ2E1zYlZDAvmenOg700iUgUZY4wxKWIeRSE7Q/oqk/elOrj4upIGdDJTMvD82hPJxxuqyPsvhD1V2XVBHyitlEJqaUMLETeO/zqJuKe0lUHM+JFv7gi8QU1eRWxkwzZbv1pLeo/I1fbHLrBxenuw3BRY2lhi2M4x8KtQSGjdLePW4vn1p0JrMv2ipKS6F/EgrwN5VxJ0fhjT+evmvqu4vOU8uY6dqz3az+wqoCPTVqJBGRQODiDVUGWr8LeA4XSmHdQVnu6CB218y/iRjg+/8QzzGk9HanyKoI5oTvx6GJH3aIkEShtLNBptmA+SmRNqCnA0MV2SvVuMAX2fpJAr5Ggwshm+vz6TnOr7ITZOtuj0U098f2MWyrWs9N57Wozpk1MB6QM1mSkZyEzVz2CGuYi49RyH5u0j11EoFei6sC+fh5jZsLS1grWj9IQ3XkNs2FTZOTi94hi+Lzka64evRGq0/r6PWlhaYPCWL1CCGPhhTFx8XdH/ryFC31OSo5PwU72puHPohrCa5sKshgV5qI8xxpihoq4g9vnASjtq0lLoSXr6niHJycrBsh6LhKTcVOoYjFKNywnoSnsC65ZC0eq0FRHqHBUOzOJ0QXNHGbBx9nGB0lpc8sKHznl5EXH7uaBOtO/+8Tu4tOkcuY5/pcKo0TdEQEeGy8bJFiP2jYdnMXFPYqqyVdg3fbuweky/0pPSkBIjPcWKOnwACBgWvGMcw4LZGVlYP2KVkFrtpneFvbu4p45NlUwmE5IuePL3I0iK5Jsbhoi6tld0KpcPcVgQAJ5deYwFzWYiPSlNQEfSJb5MwPZvNpDr1PmsARw9aUkkjM7SxhLOvq6Sj49+ECmwG5aLOvBsCMmCr/MI8MIXh7/BoE2j4FexsLC6coUcdQY1wJT7P6PhF81hYWkhrDZjojl60VLX+TOn9mg0GqwbtgJqARuDGo1ugQJB0jd8MGaMKOmCfG4zTNmZ2Tjx62FMDBqNPwf8RrrXIULxOiXw9cUfUa5lJb32oQ+lGpdD82/bCa2ZmZKBhS1m4eLGs0Lrmjr+psEYY4wZgPCbtMGV9yULAkDxWiVw9s+TkmuHnbqLhqOaST7e0Oz6YTOeXnpErmNpa4VOP/US0JF2yWQyNP+6LRa1mk2qc+qPY2j+bTs4EVaMMOOlVqlJ6ZJuglYQ5yInC94yjmEbtUqNDaP+FFKry/w+kCtM/1kxRy8njDz4NWbX+gEJEfFCal7efB4pC5N4WMkEUC8EuhehDwu6F/GEhZUSOZnS0kJfGMmw8/6Zu4QMWxT5pBhqDqhLb8hMlGtZCQXL+ZMSUbMzsnFo7l60n9FNYGdMBErKs5W9NWxd7AR28+HvoPnx+PwDLGwxCyP2jYe1vbWQmvm1eewapCfSBhYtrJRoPLaloI4YlUeAp+S1iwnP45CdkSX0YSdGO4dZO9gIP4eJIJfLUalDMCq2r4rEFwl4fu0JEiLiXyWmpWQiM/X//zMlA5lp//+fKRnITM3898/JSElHbEocgiqUQKU2wajRLwQuhGFXxnTJkZAsCLxK3zKHtYv6cG7Nadw/fodcx9XfXcgDSYwZG8cCzogKfSnp2KSXCYK7YRRZ6Vk4tewoDs7ehfjn9LXsVGWalUfjMS0RWLeUWSe2tvyuPcJO38O9I7eE1VRlq7Cs20IkRyWi3rAmwuqaMrMaFjTnXzjGGGOGjXrj90MroIrVDiLVDjt5DxqNxiTeR+8fv4MDM8Uk5LWY2A6ufm5CamlbmeYV4FehEJ5dlb5SOiczG3//tAcdZ/cQ2BkzFgnhcVBlS38aWcSAzeu8icOCxpIseOqPo0JWwVftVgPFatLeC4yJe2EPjNi/4R9eAAAgAElEQVQ/HnNCJiMtPpVcT61S4/KWC6gzqIGA7pg+xRDXCnoISBZUWChQIMhb8jBX9MMoZKVnwdLGcAcYosJeYv+MneQ6MrkM3Rf3I69+NicymQzNvm6L37suINU5tuRvNPu6DWwcTXN1vbGipHK5FfYQ/n3O0dMJDp6OSI5KItd6cPo+Freeg+G7x8LS1kpAd3l398gtnF9zmlynZv+6cPZxoTfEhPAMKIDQE3clHavRaBDzKBreJWlpwOy/KMOCboXdDfqalEwmg7OPi6RzwLNnz1CtWjVM37oAfn70xFbGdIn6QHEiD9RoRVpCKraMXSOkVpf5vWFlp5+HORjTJ0cv6Q8MpyWk8YMnBiAzNQMnlh7GwTm79Z72qFAqENyjJhp92eKD93LNiVwhx8A1wzCl4gShA7YajQbrR6xCUmQiWk/uZNDfIQyBWVxxlclk/1lBrO0fALCwMKs5TMYYY0SUZEGZTIYCH7iI7RXoDQdP6V9ukqOTEHn/heTjDUVqfAqW917y73s1hVeQNxp+0VxAV7qRe+OY6sTSQ3r/YsX0g5zGJXhllKu/G+lG8sMzoUiJlb6KVBfSElKx49uN5DpKG0uzTIfyLeOH4XvGCRs4uLjxjJA6TL+ow4Ii1hADtFXEGrXGoD+X5V6Uk5qc+LqQzxvBv1IRAV2Zl0odguEV5E2qkZmSgStbLwjqiImQkZyO1NgUyce7FXYX2M3/lGleQVit+8duY0m7n5GdkSWs5sdkZ2Zj7ZDl5DoKpQJNv2oloCMminsA7T07Kkxakgx7t/TENNJDPIa2gpgx9oqIZEEm3s7vNgu5flu2RUWUb11ZQEeMGR/qmnURD1QxadKT0rBv+g58XWQkNo9do9f7WdaONmg8thV+fDgffZcP5kHBNzh6OWHg2mGQycUP9O39cTvWDP4DapVaeG1TYhYTbWPHjkVoaKhOX7NixYo6fT3GGGPGKycrBy/vRkg+3iPA84PpMjKZDMVqBZFu+IWdvIcCQT6Sj9c3jUaDNZ8vR/yzWCH1ui3sCwtL4/oYVbF9VXiX9MWLO9LXr2amZmL3pC3ovqS/wM6YMYh5RBuwEb2GWC6Xw7uUL55cfCjp+PTENOz8bjO6L+4ntC+Rdk/eipQY+kBj069aG00KqmhFqxXH51u/wKJWs0nJmABw/9gdJL6Ih5M3JwYZs2gDSBYEQE4qenE7HH7lCwnpRbQr2y7g1v5r5DqOXk5oM6WTgI7Mj1whR7PxbbCy31JSneu7L6NG3xBBXTEqSqogALj5a2dYsEqnajiz8oSwenf+voFfO83H4C1f6OT71sHZu4UMYFfvXQeuWvp7zKTxLFaAdHz0A9pnBvZf5HNYIR4WZMwQOXpRhwU5WVC0p1ce49iSg+Q6SmsluszvzYlMzGyJSE7l7we6lRqfgiMLDuDIgv1CNs1QuBR0RYNRzVBrYD3e2PARQXVLoduifkIe4nvTyd+PIDkmGQPXDOWkz/cwrrvcEvXvzze0GWOMGa6o0JdQ50gfYvDJw9MoxWqVIA0Lhp66i1oD60k+Xt/O/nkSlzaeFVKrcudqKNmwrJBauiSXy9F0fGus6PMLqc7J34+g/ogmKFCCVzKZE3KyoOA1xADgU7qg5GFBADjx6yHUGdQABcv5C+xKjJd3w3F0Ef3irqu/OxqPaSGgI+NVqnE59P9rKJZ1W0hKltVoNLi06Rzqj2gqsDuma/TBZ1HJgrRV6i8MdJV6RkoGNo76U0itjnN6wNbZTkgtcxTcvQZ2TdpCWvl4/9gdqNVqXgNtIOKogzZaSuUq1aQcguqXxr0jt4TVvLHnCn7vthCfrR8OhVJ7l66jH0Zi37Tt5DpyhRxNJ7QW0BETyYOYLBj9IFJQJwwAYp/Qvk9qKx2VMUbjyGuIDYparcbaocuhUdO36jQd3wYeRb0EdMWYcaIPQ3Nyqq5kZ2Rh37QdODx/PzKS0/XaS8Fy/mg0piWqdqmm1e+ypiZkcEOoslXYMHKV8NpXt13AwhazMHTnGFjZWQuvb+z4ih9jjDGmZxG3aDd8fUp//IZz8dpBpNcIO3mXdLw+RT+IxLrhK4XUsrK3Rqc5PYTU0oeq3WrAnZjwplapsXX8ekEdMWMR+5i4ulNwsiBAW+MJvFrluWHkKiGryUXbNHo1aYg8V4dZ3YWt4TVmVTpXE5KIemEDryI2dpQ1xA6ejrC2F3NRiXr+oqQEa9OeKdsQ/zyOXCewbikEd68poCPzpVBaoMk42krU1LgURNw0zMFUcxRDGPwEtDcsKJfL0W/V57Bzsxda9+q2C1jeewlUAj4PvYtGo8H64SuRnUFfmV6jbwjfTDdAHgG0fyY8LChW7GPDHHhmjNE4eDiSVgfqczWkKfpnxXE8OhtGruMR4IUm41oK6Igx40Ves87nN50Iv/EU0z+ZiD1Tt+l1UDAwpCRG7h+Pb69MR7WetXhQUIL6w5tg4NphUCgVwmvfO3obi1vPQWZqhvDaxo6HBRljjDE9i7j5jHR8XoYFC5YvBCvCDe6YR9GID6ff/NU1VXYO/ui5GJkpYj4EdpnfGy4FjXedp8JCgSZf0VMvru28hPvH7wjoiBkLSrKg3EKhld8b/0pFyDXuH7+Dy5vPCehGnBt7r+DmPvoKz2K1S6Byp08EdGQa6gxqgGYT2pBqPDwTSk5FYfqjVqlJKWvuglYQA4BnMS/ILaRf/Hpx2/CGBaMfROLwvL3kOnILBbot6svrrgSo0bcOnLxpaS/3jopLi2M0lPMXALgV0l4ql4uvK4bvGQdrBxuhdS9uOIs/B/wKtUottC4AXNl6QcjnLVsXO7Sd1kVAR0w0W2c70hArDwuKRX2YwJ2HBRkzSHKFHA4ejpKP52EacVJik7F1/Dohtbou7MvrGpnZoyan8pp17Yt+GIlZtSch/Abt/iqFf+UiGHlgAr488i1KNS7H17KIqnatgWG7x8HKTnz4AQ8MvhsPCzLGGGN6Fk5NFszDGmKFhQIBNYqTXscY0wX3TN2OR+foT1QCQKWOwajRN0RILX2q3qcOnH1dyXU2j10DtVr8jTtmmCjDgq7+bpArxH/tCKgRSBqCzrVpzBpkpWUK6IguJysHm75cTa4jk8nQZV5vvkDxhgajmpH/XbwoaKU9072EiHjkZOVIPl7kOnWF0gJegQUkHx8V+pL016INW8evgyqbngDW6Mvm8CGuaWavKK0tyavT+eEQwxH31LBTuYoEF8OIfV8Jv6h/9q9TWNlvKTIEPfwFABnJ6dggaGV6u+ldSUMSTLso6YIxj6K1lmxpjhIiaMOCrv7G+9AmY6aOMlDDazrF2f71BqTGppDrVOoQjDJNywvoiDHjRl1DnMjnN63KycrB710XIiNJP2mCXkHe+GzjSHx9fipKNSrL1+AFKtWoLL48OhH27g7Ca/PA4NuMbljwxo0b2L59+1s/Fy9e1HdrjDHGmCQvCMOCcgsFvAK98/TnFqtVQvLrAEDoyXuk43Ut7PQ97P1xm5Bazr6u6Ll0oEl86FdaKdF4TAtynScXH+Liel7JaQ6yM7ORGBEv+XhtrCAGAEsbS9T+tD65TvyzWByYtUtAR3RHFx1A5P0X5Do1B9SFf8XC9IZMjIOHI0o0KE2qcZFXERstygpiQOywIEBbRaxWqREV+lJgNzShJ+/i8pbz5Doufm5oMbGdgI5YrjLNKpCOv3/8Dj8cYiAoyYKWtlZaudD+poAagRi2exyUNmKTaM6tPoUp5b8SNry664ctSBCQml+kWjHUGlhPQEdMWzyLSR8WVOeoEP8sVmA35i0hXPr3SQsrJezctH8OY4xJQ1nVmfQyARqNRmA35unRuTCcWnaUXMfKzgqdfu4loCPGjJ+DJ+2BoOQoHhbUpmNL/saTiw91/rouBV3R6/dP8f2NWajc8ROTuF9oiApXKYpxp37QyoYEHhj8L6MbFuzTpw8mTJjw1s/AgQP13RpjjDGWb1npWYgKk36z1yuwACwsLfL05xavTRsWDDtlPMmC6YlpWN5rCTRq+gUnmUyG/n9+DjtX6SuMDE3tT+uTn44DgO3fbEB2RpaAjpghi3sSQ7p4615Y7IDN65pNaA1bZ1tynQOzdiGGuN6PKikqEbsnbyXXsXa0QZupnQV0ZJqqdKlOOv7p5ceIDKUPdDLdi35IWyfoIXANMQB4l6Sl5724TUumFkWtVmPTaHoiKgB0mdcbVnb0xFj2Pz5lCpLWcKbFpyL8+lOBHTGpYh9LTxZ0K+Sus5sYgSElMXTHaFhYKYXWjXkUjZ/qTcGGkatIF/WfX3+KIwv2k/uRyWXosaQ/5HKju7RuVjyKSh8WBHgVsUgJz6UPXjr7uvCNWMYMmBMhWTAnKwdpCakCuzE/Go0GG0b9KWTossXE9nD14yRXxoBXgQu2LnaSj0/kNcRak5GSgf3Td+j0Ne3c7NFxTg9Muf8zag2oB4WFQqevb468Ar0x7vQk+Jb9+Ga9/OKBwf8xuisaaWlpAF59AHr9JzPTMFaHMcYYY/nx8m4EaaAtLyuIcxUODoBCKf1DbMTN50iNp68z0IV1w1eS0jde12hMSwTVoyVRGRpLWyu0+qEjuU7skxgcWXhAQEfMkMU8oqVxuWkpWRAA7N0d0WpSJ3Kd7IxsbBm7RkBH0mg0GqwetEzI6oSW37WHoyd9GNhUVWxXlfReCAAXN/AqYmNEThYUPSxISBYEgKdXHotphOj82n+EPM1dpll5VGhbRUBH7HVyuRyBISVJNe4d41XE+paVlonk6CTJx7sVFv80/oeUbFgWg7eMIr/fvsuRhQcwteIESQ+yqdVqrPn8D6hV9LTM+iOawq9CYXIdpl2UNcQAEBXGw4IiaDQaxBOSBZ19XQV2wxgTjfowMq8iprm44QwenQsj1/Eu6YsGo5oJ6Igx00EZhk6O5HObthxdeID0/Tg/rOyt0fK79vjxwTw0+rIFlNZiU/TZhzn7uGDM8e9QjBiE8y48MPiK0Q0L5pLJZP/+MMYYY8YqgrCCGAB8S+c9lcbSxhKFqwZIfi2NRoMHp+9LPl5Xzq89jXOrTwmp5V+pMNpMoQ8iGaKaA+rCuyRtUAEA9k3bgZTYZAEdMUMV84g2eCt6deebQj5vCJ98nAvf5/KW87h75JaAjvLvxK+HcW3HJXIdr0Bv1BvWREBHpsvW2Y68lpNXERsn6uCz6GRBH+Kw4NFFB/WeiJqVlontX68n17GwUqLrgr58fUdLAkNKkY6/f+y2oE6YVLFPpKcKAoBbIe09uPE+ZZtXxGcbR0KuhcSFqLBIzAmZgk2jVyM7IzvPx53+4xgengklv76zrytaT6I/eMW0z4OwhhjgZEFR0hJSkZ0ufSOBS0EeFmTMkNGHBTl9S6qs9CxsHU//PgYA3Rb3y/P2IsbMBWXNeiIPQmtFWkIqDs7epfXXsbC0QIORzfDjg3lo9UNH2DjSNxsxaWyd7TBy/3iUb1NZeG0eGDTiYcHcREHGGGPMmEXcfEY63jufAzLFagWRXi/05D3S8doW8zgaa4YsF1JLaWOJAauHmuyFEoWFAu1ndiPXSU9Mw54p2wR0xAwVfVhQuzeoFRYKdJ7XW0itDaP+hCpHJaRWXkXcfo5NX/4lpFann3ua7DlLpCqdq5GOj7j1HOHE92+me9GEZEGFUiE81cYz0BtyhfRLMpkpGVjV/1eo1fSELKn+/nkv4p/Hkes0m9CGnP7E3i+oHm1YMPTEHSFJbEw66u+ZayHdJgvmqtCmCgauGQqZXPwgsEajwaG5e/F7s3lwznL46J+fHJ2ErePXCXntznN7wdrBRkgtpl3U9xYeFhQjgXgOc/ZxEdQJY0wbHAnJWwAP1FAcmb8fcU9pD5UAQHD3GgiqS/vOwJgpogxDZ6ZkmPUAkrYcmrsPaQlpWquvUCpQ57MGmHL/Z3Se2wsOHo5aey2Wd5Y2lhi0aRRqDagnvLa5Dwwa7bAgY4wxZgrIyYL5WEMMAMWJcc0PThvusKAqR4XlvRYLWeMJAJ1/7oUCJejJe4asbIuK5BvIAHBsyd+ICnspoCNmiOKeGnayIACUbFAGFdtXJdeJuPkMJ5YeEtBR3mRnZOGPHovzlYrzPmWalUfZ5hUFdGX6yrWuDKUNbW0EpwsaH8oaYrfCHqTBvndRWinJiUf3j93GscV/C+oofxJfxOPAzJ3kOh4BXmgyrqWAjtj7eJfyhb37x4ep3ictIQ3Prz0R2BHLr4Rw4rCgv36GBQGgcqdq6Lfqc60lh8Y9jEHN2Io4PH0vsjPen1y25au1SItPJb9e6ablUalDMLkO0w1HLydY2VlJPp6HBcWgrCAGeA0xY4bOiZC8BQBJvKpTkqSoROybvoNcx9rRBh1n9xDQEWOmx9GLNgzN5zexUmKScHjePq3UVkGFqn1r4McH89Bj6QC9fodm76awUKDnbwPR7Ou2wmub88AgDwsyxhhjekRJFrSwUub7SfmAmoGkGzWPLzxAFmF9jDbtn7FT2Jrk8m0qo/Zn9YXUMmQymQwdZnUn11HnqLBNwBpCZpgSCDd3lDaWcPDUzRN4Hef0hNJaSa6z87tNSIlJEtDRx22bsEHIAIbcQoFOP/UU0JF5sLa3RrmWtMHKixvOcNK9EclIyUBylPTfa3fBK4hzeZeir1DfOn4dIkNfCOgmf3ZM3ITM1ExynQ6zukNpTRveZR8ml8sRWLckqcY9XkWsV+RkQT/9Dtp80qMWev3+qdbqyyDDmaXHMaXCBPzRcxH+HPAb1g5dgU2jV2P7NxuwZdxanFl5gvw6Smslui3klenGRCaTkdIFox9E8ec9AajJgryGmDHDRk0W5DXE0uz6fjMykukPzLeZ3AlO3pzgyti7UNYQA0ASJ6cKdWD2HiHnvddZ2lqh2qe1ccTzHJpMagOXgm5C6zOxZDIZ2k7tjC7z+wj/Xm6uA4M8LMgYY4zpSUZyOmKfSF8V4F3SJ98pN7bOdvAtm780wtepslV4fP6B5OO1JfzmM+yevFVILccCzuj9+6dmcxOoUOWi+KRnLXKdy5vP48E/YoY1mWGh3KB29XfT2e+Se2EPNB5DT6dKS0jDjombBHT0YTf3XcXh+WKehqw/vInJJ6GKVqVLddLxUWGReHr5kaBumLbFPpKeKggAHlpKSA2oXpxcIzs9Cyv7LtXpmthn157gnxXHyXWK1ymBCm2rCOiIfUxgCC1JmocF9Yu8wtMAbnjU7F8X3Zf01+prRN5/gfNr/8HpFcdw/Je/cWjuXuybvgMH5+wWUp9Xphsnd8I/s6y0TKREJQvsxjzFE9NRnX15iIUxQ0YepuHkrXyLuPUcJ38/Qq7jV6EQQoY0EtARY6aJsoYYABJ5GFqYxJcJOLrogLB61g42aDq+NaY9mo+G37ZEpoK+9YfpTv3hTTBgzVDhW2DMcWCQhwUZY4wxPXlxO5x0vE8+VxDnKlYriPS6oSfvko4XTaPRYOMXf0KdoxJSr9/KwbB3100SmqFoM6UTLKzoiWybx67h5AUTo1arkRghPVlQ1yujmo5vDRc/+g3xk78dwbOrj+kNvUdSZCJW9lsqpJaDhyNaTGwnpJY5KdOsAqzsrUk1LqznVcTGIpqwghjQXrIgNeEy18Mzofj75z1Can2MRqPB5jGrhbzfd/qpp9k8nKFvQfVow4KhJ+7qdCCV/Rd50MbHMAZtQgY3RJd5vfXdhiRegd5oPK6VvttgEngSBzzjn8YK6sR8UVepu/AaYsYMmq2zHSwsLSQfz8M0+bd57Bpo1PTvY90W9YPCQiGgI8ZMEzU5NZmHoYXZP30HsgVsPLNxskXL79pj2qP5aDetKxw8zOs+oCmp2rUGBq4dxgODRDwsyBhjjOlJOGEFMQD4lJa2uq5Y7RKk17257yrUasO5WXh912XcPXxLSK0Go5qhVONyQmoZE7dCHmgwsim5zsMzobi85byAjpihSIlJRk5WjuTjdb0yytLWSshqbY1Gg/Uj/9TK8KtGo8Gq/ktJK1Ff12ZqZ9g62wmpZU4sbSzJiWaXNp0zqPdD9n4xBjosWKCELyp3riak1s6JmxBx67mQWh9yc+9VIZ+7qvWujUKViwroiOWFd0lfOHhKvwiekZSOp1cei2uI5Qsl5dnB05F0A1+0+iOaov3MbvpuI9+6L+kPpYCHq5juUdMg4x/zsCAVZVhQJpPByZt2o54xpl0ymYw0UMNrOvPn1oFruLX/GrlOcPcaCKgRKKAjxkwXPVmQz28ixD2LxYlfD5Pr1OgbgumPF6DVDx1h52ovoDOmb5U7VdPawODy3r+YRTAKDwsyxhhjekK9oSt1WLA4cVjw4ZlQrBuywiA+KGVnZmPzmNVCahUs549207oIqWWMmk1oAzs3+pekbRPWk4bLmGFJCJeeKgjoJ8mmSudqKF6Hdp4DgLCTd3Fxg/jkuKMLD+DmPvqFXQAoUq0YavavK6SWOapKXEUc9zQGj86GCeqGaRM1WdBDS8OCANBxVndYO9iQ6+Rk5WBF31+gytbee7AqOwebx64h11HaWKLt1M4COmJ5JZPJEFiXli54n1cR6038c+nDSrp+cCMvmoxthdaTOuq7jTwL7l4DJeqX1ncbTCKPYsRhwSc8LEhF+U7p4OUEhdJwBp4ZY+9GWUWcxMmCeabKUWHzGAHfx6yVaDetq4COGDNtTtQ163x+E2Lv1G3k+022LnboPLcXbJxsBXXFDIW2BgavbruA478cElrTEPGwIGOMMaYn5GFBiWuInX1cyAk5J347jC1j1+p9YPDYooOICosk11FaKzFgzTAorS0FdGWcXkWwdyDXiX4QieO//C2gI2YIKDenAcClIH0lcH7JZDJ0md8HMjl9teWWcWuFRs4/v/4UW8atFVLLyt4aA/4aKvyLsDkp2agsbF1oqYy8itg4xDwiJgsW0d6woKu/Ozr93FNIraeXHmH/jJ1Car3Lid+O4OXdCHKdxmNa6uX9wdwFhZQkHX+PhwX1IjsjC6mxKZKPN9TftRYT26P74n4G/znGxskWHeeIOUcz/SAnCz6hrdBltFXqhjjwzBh7GyV9Kzk6CWoVJ/bnxenlx4SkyTf8ojlc/d0FdMSYabP3cIRMJv36Mq9Zp4t+EInTK46T6zQZ24oHBU2YtgYGN49dg8QXtDANQ2dSj2Xt378fbm76vwgmk8ng5+cHLy/axQjGGGOmLYKwhtjK3hqu/tLf84rXLkFeyff3z3tg5WCNVt/TB8ykSIpKxO4pW4XU6jCru+SkRlNSZ1ADHF24nzyAuWfKNlTvU4dXo5oAcrKgr+6TBQHAr3wh1PmsAY4vpT39Ff88Dnunbke76fQnrrPSs7Cs+0JhyZvdFvUl3/w0dxaWFqjYripOLz8mucalzefQeW4vgx92MHeUzzx2bvZav6BYs39dXNl2ATf3XiXX2j1lG8q1qgS/CoXJtV6XlpCKXT9sJtdxLOCMxmNbCuiI5VdQPVqyYNjJe1DlqKCwUAjqiOUF/bOY4Q7ahHzeCP6Vi2Bl36VCBpG1oc3UznAirFZk+ufq5waFUgFVtkrS8fFPYgR3ZF6y0mkDz/r6PskYyx/KsKBGrUFKTDJ53aepS09Kw87vNpHrOHg6oun41gI6Ysz0KSwUsPdwQHJUkqTjEyJMe8hIF3ZP2Qp1jrTP8bkcPB1Rb3hjQR0xQ1W5UzUAwLLui4Q9hJCdnoW903ag28K+QuoZIqMfFsxNNNJoNPjiiy/03M3/ODo64ty5c/pugzHGmIFKjUtB4gvpTxb5lC4IuVz6YEKxWkE4s+qE5ONz7Z60Bdb21mg0ugW5Vn7t+m4zMpLSyXXKNK+AukP5ywLwanCm3Yxu+LXjPFKd1LgU7Ju2Ax1mdRfUGdOX+Oe0JA19JkG0ntIJFzacQVp8KqnO/pk78fjiA7Sd2gVFPikmuc7mMWvw4nY4qZdcVbvVQLVetYXUMndVu1YnDQsmvUxA6Ik7CKrH6wkNlUajQdxT6Smp2lxBnEsmk6HXb59iUtlx5HOWOkeFlX2XYvy5KVBaKQV1COz9cTvpZn+utlM7w9reWkBHLL+8gnzgWMBZ8iqkjOR0PL38CEWCpb8Xsvwz5s9ieVEkuBi+vTwNO7/bjL9/2qP35PrXFapSFCGDG+q7DUYkV8jhXsQTkfdfSDo+/kkcYCO4KTOSSLxJ7uxj2Ocwxtgr1MH6xJcJPCz4Eftn7JQ8sPS61pM7wdqB39gYyytnHxfpw4LEB7/M3Ys74Ti3+hS5TtPxbWBlx9ehzIE2BgZP/nYYjUa3gHthDyH1DI1JxR9oNBqD+UlKon9oY4wxZrrIK4hL0VLwitcuQTr+dZvHrsGJXw8Lq5cXz68/xcllR8h1HDwd0eePQaQ4eVNTsV1VBNQMJNc5smA/Yh5HC+iI6VNCBO0GtT7TbOzdHNB6cichte4evoUZ1b/DknY/IVxCKuy1nZeEred2K+SOHkv683lLkMC6peDg6UiqwauIDVtafCqy0jIlH++mxRXEr3P2cUHXBX2E1Hp+/Sn2TBaTvgy8WvtydOEBcp2C5Quhep86AjpiUshkMgTVpa0ivn/sjqBuWF7FP5c+7AwY/rAgACitLdFhVneMPfk9PIsX0Hc7AF79vnRf0p+Tg02ER4D09/L0hDQo1Uaft6A3lBXEgHGcwxhjr9LDKaQ+zGIuYp9E49DcfeQ6PmX8ULN/XXIdxswJ5dp2cmQiVMRUPHO2a9IWaNS0h8mcfV0RMriBoI6YMRC9kliVrcLuSVuE1DJEJnXFQyaTGcQPY4wx9jGUFcQA4FOGNizoWbwA3AQ+CbF2yHKcFfCUT15oNBps/OJP8hcFAOi97DN+cvUNMpkMHWf3INfJycrBjm83COiI6VMCIc1GbqEgD2FR1RnUAL5l/YTVu7bjEqaUH4/lvZcg+kHe1nUnRMRj1YBfhby+TC5D/9VDtb4S1ZwoLBSo3PETUo3LW85DlS1mvQGl8wwAACAASURBVDQTL+4ZbdDG1c9NUCcfF9y9Jiq2ryqk1v6ZO/HofJiQWlsnrBOyQr3jnB48eKNngSG0VcT3jt0W1AnLK2qyoCGvIX5TQI1ATLwyHQ1GNdP79dWQIY1QuEpRvfbAxPEIoA2h2uZwEolUlO+TAK8hZsxYOBagXVtNepkoqBPTtP2bDcjJzCbX6TSnBxQWCgEdMWY+nLylD0NrNBoehpbo2bUnuLTxLLlO82/aQmltKaAjZkxEDwye/eukyQ7+mtRVWn2nCRrSqgzGGGOGLfwmMVmwDG34RSaTCU120Wg0WNVvKa5suyCs5vtc23ER947Sb1SWa1UJ5VpWEtCR6SlarTgqd65GrnN+7T94fPGhgI6YvlBuUDv7uJDWpYugsFCgy7zeQmtqNBqcW30K35Ucg73fbIO16r8XHLIzsxEV9hJ3j9zC6RXH8FuX+UJWdwJAi4ntUaxmkJBa7H+qdKlOOj41LgV3Dt0U1A0TLd6IhgVzk6zs3R3ItTRqDVb2XYqs9CxSnbBTd3F583lyP+VaVULJBmXIdRhNUD3asGDYqXs8HK1jpr6G+E2Wtlbo/HMvjD42ER4BXnrpwbGAM9pO7ayX12baQUkWBABbFa9rlIqaLGhMA8+MmTMRa4jZuz06F4bza/8h1yndtDxKNS4noCPGzIuzD+3BhYQIXkUsxa7vN5NruBX24DRVMyZyYFCj1iAzJUNAV4aHM/QZY4wxPXhxmzgsWJqWLAgAIYMb4viSv5EcnUSuBQBqlRrLui3EkB2jUbpJeSE135SdmY3NY9eS6yiUCnScQ0/PM2XtpnXB1W0XoMqmPTGz/ev1GHXwa0FdMV1LCJd+QcNQbk4H1SuNSh2DhQy7vE6do8Ll1WdRD8HYOHAVspOzEPckBkkvE7XyEFFAzUA0/6at8Lrs1d9bZ19XJBBuZl7ceBZlmlUQ2BUThTxoo8NhQQBw9HRCj18G4NdO88i1Xt6NwHclRsMjwAuu/m5wKegGVz83uPi5wtXf/d9BSAu1ApG3IxB3JQqxj6MR+yQGsU9e/WfkvRfkPuQWCnSY1Z1ch9F5Fi8AJ29nJL6QdkM2MyUDTy49QtFqxQV3xt6HenPJWFO5itcugYlXp2PbhA04uoi+Bj0/Ov3Uk1OcTQx18NQuh4cFpaJ8nwQM5zslY+zDOFlQOzQaDTaNXk2uI5OL2SLDmDmiPrhA/Sxkjh6dD8O1nZfIdVp93wEWljwKZc4qd3oViLKs+yKoVWpSrewMesKvIeLfEMYYY0zHNBoNwglriG1d7Ejx57kcvZzQd+VgLGwxi1wrV05WDn5pPxcj9n2FwDolhdXNdWTB/jyv/vyQ+sObwqu4t4COTJdHUS/UHdoYh+ftI9W5c+gmnl9/ioLl/AV1xnQlPSkNGcnpko83pJvTHWf3wI3dV7TypU4BBe7/rd21jNaONuj/11BeF6MlcrkcVTpXw6G5eyXXuLLtAnr80p9XWxggarKgrocFAaBSh2BU7VYDF9bREyTin8V+8O+BwsoCTTNr4fdm88mv9T4hgxuiQJCP1uqzvJPJZAiqV4qUTnL/2B0eFtShhOfSz2G2LnawsjPe9alWdtbouqAPKravilX9f0Xs42itv2aZ5hVQtSstcZgZHs9itGFBW5Xx/h7pG+VhHICTBRkzFo5exGHBSE4WfJfLW87jwT/3yXVqf1pfSPAAY+aIkwV1b+d3m8g1vIK8EdyjpoBumLETOTBoikxqDTFjjDFmDJIiE0krKX3K+EEmkwnppUyzCui+uJ+QWrmy07OwuNUc/DngN2ybsB6H5u7F+bWncefQDTy//hRJkYlQ5eQ/rS4pMhF7p24n92fv7oDm33I6V160+LYdbJ3pqRrHf/lbQDdM16hPPhrSjR23Qh5oMq6VvtuQrOfSAXAv7KHvNkwadTAgIykdt/ZfE9QNEymeMGgD6HYN8eu6LewLR+I6r7xQZWp3paytsy1aft9eq6/B8icwhLaK+N6xW4I6YXlBSUc1lUSuoLql8N21GagzqIFWX8evQiEMXDtM2HdtZjjciniS/rna8RpiyShriK0dbWBtz4OajBkDKztrWBF+XxM5WfAt2ZnZ2PoVfbuOtYMNWk3qKKAjxswT9WF46oMT5ub+iTu4ffAGuU6rHzryQ/fsX5U7VUPnub303YZBMqlkQb6YwxhjzBhE3CKuIC7lK6iTV0I+b4SMlAxs/WqdsJoZyek4veLYe/9/mUwGGxdb1EmqjJ1jNqJyy2CUalIOjp7vfxJ1x7cbSSlnudpM6QxbZztyHXNg52qP5t+0w+axa0h1zq0+hfYzu8HGkdd5GRPy6k4Du0HdZFwr/LPyBOKexui7lXyp1rs2qnatoe82TF6hKkXhXtQTMQ+jJNe4sOEMKrStKrArJkLcM+nnMoVSAXsPB4Hd5J2dqz16//4pFrWarZfXF6X5t+1g76afv4fs3YLq0YYFw07dhyo7BwqlSV1SNEiq7BzSWj5D+yxGYe1ggx6/DEClDsHY+MVf5O/Ub/KvXARDd4zh7ysmSmmlhIufm+TvAbyGWDrKA2imdA5jzBw4FXBCVFiGpGOTI3lY8E1HFx5AzCN6qnKzCW0+eL2dMfZhTsRkwcQXnJyaVxqNBjsm0lMFfcv6oXKnTwR0xExJnUENcGTBfkSF0TfXmRKTShbUaDQG8QO8WmXFGGOMvUsEYQUx8CpZULQmY1uhxUTdpb5oNBqkxaXCMcce1zddwoo+v2CC/3Cs7L8U4TeevvXnP7v6GKeXHyO/rm9ZP9QcUJdcx5zUHdYYbsREs8zUTJz965SgjpiumNrKKEtbK3Sc3V3fbeSLe1FPdFvYV99tmAWZTIYqnauRalzfdQWZqdJujjDtoawhdinoqtfv9mVbVESNviF6e30qjwAv1B3aWN9tsDd4BHiR3qOz0jLx+MJDgR2x90l8kfDvdUYpnH0M67OYCCUblsXEazMweMsXqNmvLnwq+CFDnglrJxsobSzz/SC5dylfDFw3HBPOTSGvGGOGzSPAU/Kx1morZKdnCezGPKhVaiQSVu8Z2vdJxtiHUVLRE1/yMM3rUmKSsPdH+nYdt0LuaDCqqYCOGDNf9u4OUCilJ9TxGuK8u3PoJsJO3iXXaT25E8/psLcolBZoNamTvtswOEb/GLBMJoNGo4FMJkNISAhcXAzjwk7p0qX13QJjjDEDFXGTloLgq4VhQQBo9UMHZCSn4/C8fVqp/zE5WTk4s/IEzqw8gZKNyqLRl81RqnE5AMDGL/4i3SjL1Xlub44fzyellRLtpnXBsu6LSHVOLD2EukMacRK0ETG1ZEEAqNTxE5RoUBp3Dxv+CkW5hQID1w6DtQMnmehK1a41sH/GTsnHZ6Vl4vruK6jahbbSmImj0WhoKzz1tIL4dZ3n9sKdwzdJQ4/60n5GNyitlPpug71BJpMhqF4pnFst/UGOe8duI6BGoMCu2LtQP4s5G+BnMRHkcjkqtquKiu2q4tmzZ6hWrRrOnj0LPz8/aDQaqHNUyM7IRnZGNnIys//976//b0cvJ3gEeMHSxlLffzlMRzyKeuHe0duSj49/GgcEBgjsyPQlRyVCrVJLPp669o8xpluOBaSn16XFpyI7M5u/O/y/XZO2Ij0xjVyn3fSuUFrzZx3GKORyOZy8XSQnVPMa4rx5lSq4kVynUJWiKN+6soCOmCmq0qUaDszciefX3w6sMVdGPyz4uqVLl+q7BcYYY+yjIm4T1xCX/j/27jtOqvrcH/hnZmd7m+2NZSsLu0tbqSoCIgqIDRWIRo1Xo7EmMYkpaKLGGBMTyzW5P1FjNDEmKmoCRgULAYyA9LJL2aUsbK8z28u03x9ccl1mtp3nTDkzn/frdV/JPbvf7z6Q4ezMOZ/zPOqOIT5Lp9Nh+dM3oa+zF//+w7/c8jNG6vAnB3H4k4NILx6DCQuKUb75sHjPqddMx4QFDPMrMX3l+fj0uY9QueO44j1qy6pR8fkRFMwtVLEycid/6ywInDnP3fbne/DE9Id8fgzElY9eh5yZ+d4uI6BkTMpEWmEG6g7XKN5j11vbGBb0IZ3NHbD2WRSv94WwYHhsBL7xyp147rInvV3KqOTPGY+SazmW21cVzCsUhQXLNx3C5auuUbEickX6XswXH9xwN51Oh6BgA4KCDXzgggZIyk8RrTed0l5o39tMghHEABDng58niWhwMSnKOwsCZ0YRx49NVKka7ao/Wostqz8V75MzKx/TeW2CSBXGDOVhQUmX5UBy4J97RPeezrr68eVsVkGD0uv1uPoXK/A/V/3W26X4DPbgJCIi8iCHwyHqLBiTEouoxBgVKxpIp9Ph6y/cjpk3XuC2nzEatWXV2Pi7DeJ9goKDcN1T2ho/6kt0Oh2ueWKleJ/NL3yiQjXkKSZpWNBHR7nFpsXhnrU/8Okb6AXzCrH4R1d5u4yAo9PpxBfTSz/cp0oHAFKHtBufr9ykLlw4CfPuWujtMkZl+dM38QKtDxt/cZFo/bEvymHtt6pUDQ3GH7s8E3lLUh7Dgp5mrpb9nfniw2dENLhYwRhigKOIz/rk6Q9EXVnP4ucxIvVIrnF3m7vR392nYjX+x+Fw4P1H3hHvkz9n/H8mlRENZtLSEuSeP87bZfgMhgWJiIg8yFTVgt6OHsXr0yeOUbEa1/RBetz66l2YcrX/tOu+5DtLkJyf6u0yNG3CgmKkFcq6Wu55dycv/mmIWdAJIjo5BoYQ321inj09Fz/d9yvMuME3gtFfFREXif/68z3QB/GjmjdMXzlbtN7ab8W+tbtUqoakWqVhQR/oLHjWtU/diMTcZG+XMSKzbpqD7Bkc1ejLEnOSRa9vS08/KnccU7EickUeFvSdcxiRtyVLOwtWMiw4WtLOghxDTKQtkjHEANBe36ZSJdrV392HHX/dKt5n2orZyLugQIWKiAg48+C5hJndBYd0YnsFqvadEu9z9eMrGJKmYanVGMVf8A4UERGRB9WWCUcQF7k/LAgAQcEG3PHmt1F46SSP/Dx3ik6KweUPcUyalE6nw1xhVyO71YYvXtmkTkHkdmbBDWotdLKJjI/CN9+4D6t2/gLFi6d4u5z/uPmlOxDvQwGlQJM6Ph2ZU7NEe+x6a5tK1ZCUNGjjS/8Ww6LCcOurd/n8hc/gsGBedNMAnU4n7i54dNNhlaqhwUi7PGvh/RiRp4g7C55mWHC05KPUfed9GBENLyZFFhbkw8VA2YYD4g5khhADrn3yaypVRESA/AEGyQP5gWDHG1+I9yhcOBEF8wpVqIYCwfj5RX5x71sNDAsSERF5UE1plWh9+sRMlSoZXnBoMO5+7wHkzxnvsZ/pDlf/YgXCYyO8XYZfOP+WixASESraY8tLn8FmtalUEbmLpc+CjqZ2xeu1NDIqa1ouvv3hj/D9TT9F3oXeffJ6zu0X47zrZnq1BoJ4FPGhT0rR2az83w+pRzyG2IfCggAw7qIJWPCdxd4uY0iXfn+pT4UsaXDSC+lHNx1SqRIajOTBjdDIUITFhKtYDZG2hUWHIzopRvH6VnYWHDVpWJCdBYm0JUY4hrijgZ0F9/59p3iPBd9ejMQcbXSkJ9IKyRhigJ0Fh3P0X/JrC1f9fLkKlVAgueYXK7xdgk9gWJCIiMiDxJ0FPTCG+KtCI8Nw3/sPYuy0HI/+XLWMmZKFC2+b7+0y/EZ4bARmff1C0R6mqhYc/GCvShWRu7QJL2LEaSgseFbB3EI8uOUR3P/BD8Wd5ZTInJqFFc/d7PGfS86kYUG71YY978kv8pOcqVoYFvTBrlzXPLESqRPSvV2GS2lFGVj0o6u8XQaN0PiLi0XrT2wth6XPolI15IokaGMcE+/znUiJPC1JMIq4rcYMm8WqYjX+TzKG2BBiQFRitIrVEJG7xQrHELcF+Bhia78VB97fI9ojKjEaS1ZdrVJFRHSW9KF46XV2f9be2Ia6wzWiPSZdUYLc2eNUqogCRfaMPExdNsPbZXgdw4JEREQeVCvtLFjs2bAgcCYg9p31P/bKz5Za8ezN0Afx7Y6a5t0tG0UMAJtXf6pCJeRO8i4QvhewGQmdToeJS6Zi1a4ncMeb30ZKQZpHfm7qhHR8Z8NPEBoZ5pGfR0NLzE5Czqx80R573vlSpWpIorVK+bksOCzYJ29Sh4SH4N51P0B0svLuSO4QFhOOu959AGFRPI9pRWJ2EhKyEhWvt/RacPLLYypWRF9lt9tFQRtfDDsTeZtkFLHDZkcrRxGPiuQzZWx6HPR6Xssh0pLoZFlYsL0hsMcQH/1XGXraukV7XPno9YgwRqpUERGdZUyXdU41Ca+z+7OKLUfEe1z1GLsKkjJXP7484B+y5CcuIiIiD7Hb7Kg7XKt4fVxmAsJjvDNONyohGt/9+CdIFjyJ72kl187A+PlF3i7D72ROzUbu+bIntQ5tOIDGY/UqVUTuYBKMvQO0f4Nar9dj+orZeKT0KdzyhzvdNopUH6THJd9dgh9v+7loLBqpT9pdsGLLEfR19apUDSllFnQWjPPhrlzJ+an4zvofi0IPakqfmInvb3wYqeN9s+MhDa7gYtl75fJNh1WqhM7V0dgOu9WmeH3cGI4DJzqX9PcmP8OOnMPhEI1S5whiIu0xhBgQmRCleH17gHcW3CucTpA8LhUX3XGxStUQ0VeJOwvWsbPgYKRhwfOun4mxJdnqFEMBJ71oDGbdPMfbZXgVw4JEREQe0nyyEZaefsXrMzw8gvhcsWlx+O4nq9wWmlGTIcSA65660dtl+K15d18q3mPL6s9UqITcxSzoZAP4z82dIEMQLrxtPh4vfwYrn7tFFOjT6XWIy0xA/pzxOP8bc3HLK3filyf/GyueuRnhsd4JgtPgpi2fJQqKWfutDNF4md1uFwWfff39TubUbDxy8Ne46rHrvfIwh06vQ96FBbj+N1/Hqp2/wNjzcjxeA8mNnycLCx7ddEilSuhc0gc3tNrlmcidpGHBpuONKlXi/3rbe9DX1ad4vdYfPiMKVLGpyrtvtdUHbmdBu82OfWt3ifaYfdMcBAUbVKqIiL4qLDocoYIpCtLr7P6sYovs2umc2xmSJpkrH7kOQcFB3i7Da/jOgYiIyEPkI4gzVapEuYSsJHx/48P43RVPoeFonbfLGdQl312CpFzf6Lbjj6ZdPxNvP/BndLV0Kt5j62ubcdXjyxESHqJiZaSWQO8seK7g0GAs+PZiXHDbfGx9dTN2vrkVJ7ZVDPye8BAkZCUifmwC4scmIiErCfH/+/8nZCXCmBGPIEPgfvDUmriMeIybOwHlm5VftCrbcACTlpaoWBWNRkdjO2wWSVcu3z+PBYeFYOlPr8XSn16LllNNqDlYBVNVC1pPt6C1+sx/mqpaYKpuVdShLDQyFAnZSUjITjpzXss+c25LyE5ESkEaR1z5gYL5haL1J7ZVwNLbj+Awvp9Tm6QzKqCNcxiRpyXlJYvWs7PgyEnH7RnTeQ4j0qKY1FjUllUrWtte3waHw+Gz3d3d6fjWcnQ0tov2KLl2pkrVEJErxvQ4NJQrux9mrmVY0JWu1k7UHFR+z1QfpEfeBQUqVkSBKDEnGXO+uQCbX/jE26V4hWbDgoH4hpGIiLSttqxGtD692LudBc9KykvBj7f9HO/84A1s+/PnovFY7hCTEoslq672dhl+LTgsBBfedjE+/s37ivfoau3E7re34/xvzFWxMlKLqUZ2g9pfu9mERYVhwf2LsOD+Rehs6cCJIydw/bXXYd2G9zF+ygR+RvEz01fMFoYF96tYDY2WqUoatPHtzoLnSshKQkJWksuv2W12tDe0nQkSVrWg9XQzTFWtMNW0oLOtE5s/34yrbrgGWcXZSMhOQmL2mbBzZHwUz2t+LiErCYk5SWg+2aRovbXPghPbj2H8fFmHQnIm7yzoH12eidSUnJ8qWt98gp0FR0oyghjgOYxIq2IEnQX7u/vQ19mLsOhwFSvSBukI4pSCNKQVZahUDRG5YswQhAVrTAEbhh5KxedH4HA4FK8fOy0nIH9nkPqWPnwNtr62WTQZUKs0FxbMzs5GZWWl0/HExETPF0NERDQKtWXCzoJeHkP8VRHGSNzyhztxxSPXofSjfTi18wRaq5rR0diOjsZ2tDe2ey1EePUvViA8hiM93W3utxbgk9/+U/SBbtMLnzAs6KMk4xHCYsID4oN6VEI04sbGo8vQg8gEBmr80ZSrp+Ov976qeH1jRT2ajjeIR96RMuIOqT4+hng09EF6GNPjYEyPQ86s/AFfq6qqwjOzX8D/PPpHZGZ6v4s1ed74+cVoPrlJ8fryTYcYFnQD6agqrQWeiTwhKjEaYdHh6O3oUbS+6XiDyhX5L2lnQZ7DiLQpJjlWtL6t3hwQ15O+yuFwYO/fZWHBkmUzeE2KyM1i05U/yGDts6Db1IXI+CgVK9I+yQPaAFAwVzYpgeis2LQ4LLh/ETY8pbw5ilZpLiy4du1aNDc3Ox2PjZW9CSUiInK3mlJlYxiAMx110wp97wnB+MwEzL3zEuDOSwYct9vt6DF3o6OxDe2N7eho+N///N//fnxbuajF+GAyS7Jxwa3zVN+XnCXlpqB48WSUfqS8c1bljuM4tfsEsqblqlgZqUESsonz066CFHiM6XEYM3ksqg+cVrxH2YYDmH/PpSpWRSMl7SwY70dhQaKhFMwvxBevblK8/uimQ7hSvXLof8mDNnw/RnQunU6HpPwUVO2tVLS+6XgD7HY79Hq9uoX5IXYWJApMMamy+7QdDW1IGZemUjXacHrPSbSedr7nPRol185QqRoiGowxXfb5ylzTyrDgOSq2CMOC8xgWJPUs+uGV2Lz6U/S2K3uwTKs0FxYMDQ1FRobvhSWIiIiGYrNY0XC0VvH6xNxkhESEqliRe+n1ekTGRyEyPgqpE5x/bzscDnz+5iY8e9uvkNyn3s34Fc/eDH0QL9x7yry7LxWFBQFg8wuf4pY/3KlSRaQGu82Otjqz4vVG3pwmP1K0aIooLHjoY4YFvaVVGBbkuYwCRYGwK+DJ7cfQ39OPkPAQlSoiQPbghiHEgKjEaBWrIfIfSXnJisOCll4L2urMfDhqBKTdUY38OybSpFjBGGIAaKtvU6kS7ZCOII4bE4+s6XwIm8jdjOmy85u51oSMSWNVqkb7etq6UbXvlOL1Or0O+XPGq1gRBbrI+Chc9oMrsO5na7xdikfxbjoREZEHNFTUw2ZRPpbXl0YQq0Gn0yFnTj52xJfiW598D3NuvxiG0GDRnjNuuICtxz1s4pKpSMhKFO2x429b0WXqVKkiUkNHY5tojDi7QJA/mbh4smj9kc9KYe23qlQNjYapmp0FiUYiPjNBNC7d2m/FiW0VKlZEAGAWnMOMY+I5io5oEMl5qaL1Tcc4ingkTLXCzoKCUX9E5D0xwrBge73yB1e1iiOIibRB+iCDuVb2IIW/Ofbvo3DYHYrXZ07NQnhshIoVEQGXfGcxopNivF2GRzEsSERE5AG1ghHEAJBenKlSJb4nqSAFN798B5489Tyu+Nm1irpgpE5Ix9dfuM0N1dFQ9EF6zP3WQtEelp5+bPvT5ypVRGowCbtAsNMG+ZO8C8cjNFJ5Z9++rj4c/+KoihXRSEm6coVEhCIiLlLFaoh823hhd8HyTYdUqoSAM13YJecwjiAmGpwkHA2cGUVMw5OMIY5OjoEhRHMDsYgIQKxwDHGgdRasO1yD+iPKJxEBQMm1M1WqhoiGIn2QQdp12d+Ub5aNIB7HpiHkBmHR4Vj8k6u9XYZHMSxIRETkAbWlVaL16cX+1VnQlZjkWFz56PV48tTvcNOL30TqhPQRrUsvHoN71n4f4TF8ksgbLrhtHoKCg0R7bFn9KRwO5U+SkboknWwAIG4Mu3GR/zCEGDB+QbFoj9L1B1SqhkbDVCUI2mSyKxcFloL5sgvtRxkWVFVXaycsvRbF6zm+k2hwSXnJovUMC46M5IY4z2FE2sXOgqMjHUEcnRTDMZxEHhIrDAu2sbPgAOVbZGHBgnkMC5J7zLvrEsQF0LQZhgWJiIg8oPaQrLNghp+NIR5KSHgILrpjAR4pfQr3f/BDFF46Cfog57cskfFRuOwHV2DVzl8gZVyaFyol4EzIc9ryWaI9GsrrcGRjmUoVkZS0syDHEJO/KV40RbT+0McMC3qa3WaHuYZduYhGqkDYWfDkl8fQ392nUjUk7TrBLs9Eg0vKl40hbmRYcFiWPgs6mtoVr+f7MCLtikyIcnkNd6TaGwKrs+Dev+8QrZ9y1TTR3zcRjVxsmiwMzTHE/6e3owend59UvF6n02HcRRNUrIjo/wSHheCKn13r7TI8hv3ciXxcb28vDhw4gKqqKpjNZthsNsTFxSE9PR1TpkxBVFSU12prbW3FgQMH0NDQALPZjJCQEBiNRuTm5qKoqAjBwcFeq62qqgqlpaVobW1FR0cHIiMjERcXh8LCQuTl5XmtLgpckjHEekMQUsaPrMueP9Hr9Zi4ZComLpmKbnMXjnxWhvaGNhhCDEjITkTBvEIEBfOtjC+Yd/el2PHXraI9Nr/wCQovmahSRSQhGRkF8OYO+Z/ixZNF66v3n4K51iQeWUIj11Zvht1mV7w+kJ4gJQLOhMuSx6WisaJe0XqbxYbjW8tRuHCSypUFJpO4yzPfixENxpgRB0NoMKx9yrp3srPg8KSdc/iemUi79Ho9YlJiFYdi2gKos2DzyUac3lMp2qPk2hnqFENEwwoODUZUYjQ6mzsUrWdY8P+c2FYhumaXMSkTkfHey0aQ/zv/G3Ox4an3FV8j0xLeYSdNe/PNN/Hzn/8cNpvNLfvrdDo89thjWLlypVv2H4zVasXGjRvx5ptvYseOHbBYXF/ACgoKwtSpU3HDDTdg0aJFCAkJcXttnZ2d+Mc//oG3334bR48eHfT7wsLCMG/ePHz961/HrFmyjlMjVV1djbfeegv/+Mc/0NjYOOj3cCEQ8AAAIABJREFUxcXF4corr8SNN96InJwcj9RGgc3S24/GY8rfVKSMS4UhJLB/ZUcYI3HedTO9XQYNIu+CAmRMykTNQeXjtvev3Q1TTSs7ofgAc60sLMixUeRvknJTkJyfgsZjym8OH/r4AC64dZ6KVdFQpKHneI5TpwA0fn6R6ELo0U2HGRZUiUl4DjMyLEg0KL1ej6TcZNQdrlG0vulYAxwOB3Q6ncqV+Q9Jd2eAnyeJtC5aEBbsCKDOgnv/LhtBHBYTjvELilWqhohGwpgRrzwsKHx/5E/KN8tGEOezqyC5WZAhCMue/BpevP45b5fiduxPTJp27NgxtwUFAcDhcKC/v99t+7uya9cuLFu2DPfffz+++OKLQYOCAGCz2bB792784Ac/wJVXXomtW2VdnYbicDiwZs0aXHLJJXj88ceHDAoCZzoibtiwAbfccgtuu+02nDp1ym21dXd346mnnsKiRYvw0ksvDRkUBACTyYQ///nPuPzyy/H444+js7PTbbURAUD9kVo47A7F69MDaAQxaZNOp8O8uy8V7WG32fHvlzeqVBFJSG5QG0IMiEqMVrEaIt9QJBxFXLZhv0qV0Ei0Vgm7crGzIAUg6Sji8k2HVKqE2OWZyL0S85IVr+1p60ZXK68jDsUkHaXOcxiRpsWmxipe297QBrtdebcpLZGGBSdfUYLgUO9N9iIKRMZ05aOI2xvaYLO6L8+gJeVbZGHBgnmFKlVCNLjzrp2Jud+6xNtluB3DgqRpJpP72/ZGR3vmhrfD4cB///d/4+tf/zrKy8tHvb6yshL/9V//haeeegoOh/JQkiudnZ341re+hYcffhhm8+hbwX/xxRe48sor8dFHH6laFwCcOHEC11xzDV555RVYrdZRrbXb7fjLX/6Cq666ChUVFarXRnRWjWAEMQCkF2eqVAmR+8z6+oUIiw4X7fH5yxths4zuXE7qMwtu7hgz4thlg/zSxMWysODhT0pFIzZodEzSsCBvUlMAGj9fdsH95I7j6OvqVamawCbtLBjH7qhEQ0rKTRGt5yjioUkDz+wsSKRtMSnKwzQ2iw3dpi4Vq/FNbXUmnNgqux9VsowTeIg8zZiu/D2Kw+5AewB1Tx1Mf3cfKnccF+0xbi47C5JnrHjuFuRdWODtMtwqsGcakuZ5IiwYG6v8SaiRstvt+NGPfoR169a5/HpmZiZKSkqQknLmYlZDQwP27t2LqirncY+vvPIKamtr8cwzz0Cvl+eBW1tbceutt7rsJKjT6VBcXIzi4mLExcWhv78fp0+fxq5du5xChX19fXjggQfQ3NyMm2++WVwXAOzfvx933HEH2tqc32CFhIRg2rRpyM/PR2RkJLq6unDs2DHs3r3bqVtkTU0NbrjhBrz44ouYNm2aKrURfVVtqfLRrAA7C5I2hEWHY/bNc7Dp/32ieI+2OjP2rd2Nadd7Znw9OXM4HKIb1EbenCY/VTC/EIYQA6z9ygLNXa2dOLXrBHJm5atcGbnCzoJEoxebFoeU8WloOFqnaL3dasPxL8pRdNlklSsLPCbBiCp9kB4xKe6/jkWkZcn5wrDgsQbkzOR7usFIzmHAmQfQiEi7YgSdBQGgvb4NUQn+PbFi39rdooYfwWHBKF7M99xEnhabLnuP0lZrQlyAPxRxYvsx2CzKOyymFWYgJpmfd8kzgkOD8f1//RSfPfeR3zbIYFiQNM3dYcGgoCCkpaW59WcAwG9+8xuXQcGpU6fiwQcfxPTp012u27VrF377299i7969A45/9NFHSE5OxqpVq0R19ff3495773UZFLz66qtx//33IzPTueOZ1WrFhx9+iKeffhr19fX/Oe5wOPDEE08gNTUVl14qG1dZVVWFu+66yykoGBoaim9961u45ZZbXHaF7OjowOuvv47Vq1ejr69vwPF77rkHa9aswdixY0W1EZ2r9pC0syDDgqQN8+6+VBQWBIDNqz9lWNCLetq60d/dN/w3DiKON3bIT4VGhiH/ovE48lmZ4j1K1+9nWNBDTNWysGA8w4IUoMbPL1IcFgSA03srGRZUgVkQtIlNM0IfxEEyRENJymNnQXcy13IMMVEgi01V3lkQANrqzX5/LVw6grh48RSERoapVA0RjZT0gQbpeyR/UL5ZNoKYXQXJ04IMQbjsB1f47cQghgVJ084NC86ZMwcvvfQSgoKCvFTR6H344Yf44x//6HT8G9/4Bn70ox8N+WeZPn063njjDfzmN7/Bq6++OuBrf/rTnzB58mRcccUVimt74oknsGfPngHHgoOD8atf/WrIfQ0GA6666irMmzcP9913H3bs2PGfrzkcDjz44INYu3YtsrKyFNVlsVhw7733orV14AX0lJQUvPzyyxg/fvyga6Ojo3HPPfdg4cKFuOOOOwaEGc1mM+699168++67CAkJUVQbkSu1gjHEhtBg8YVsIk9JLx6DcXMnoGLLEcV7HN1YhrrDNUgrzFCxMhop6dg7jowif1a8aIooLFi2YT+ufOQ6FSuiwUjOZWHR4QiPjVCxGiLtKJhfhC0vfqZ4fd3hGhWrCVyyLs98L0Y0nCRhZ8FGhgWHJBlDHBoVhvAYvg8j0rIYYViwvd48/DdpWFdrJ47+65Boj5JlM1SqhohGwyjsLGiuYViwYossLFgwr1ClSohGx18fyvTPPxUFjHPDgjk5OZoKCprNZvziF79wOr5y5UqsWrVqRH+WoKAg/PjHP8aNN97o9LVf/vKXLkf0jsSuXbvw1ltvOR0fLij4VbGxsXjppZcwceLEAcd7enrw6KOPKqoLAF5++WWnbofR0dF49dVXhwwKflVBQQFee+01pzHT5eXl+MMf/qC4NqJz9Xb0oKWySfH6tMJ0BBm0c14jmne3rHMsAGxZ/akKlZASkk42AMOC5N+KF08Rra/ccRxdrZ0qVUNDMVUpP5exmw0FsvHzi0Tr6w4xLCjV096N3vYexet5DiMaXkJWEnR65WOk2FlwaJLPlDyHEWmfGmOI/dmBf+6B3ap8BKfeEIRJV5SoWBERjZQ4LBjgnQUtvf04sf2YaA+GBYnUxbAgaVZPTw96e3sHHIuP19YFheeffx4tLQNHZBUUFODhhx8e9V6rVq3ChAkD2++2tLTg+eefH/VeDocDjz32GBwOx4DjK1euHHWnwvDwcDz33HOIiBj4VOjWrVuxYcOGUddWX1+PF154wen4o48+iry8vFHtlZOTg8cee8zp+OrVq9HQwAt/pA7pDbM0Px+7QP6nZNkMxKTILgx++dcvYBNcOCPlpJ0FeXOH/Fl68RhRINZhd+Dwp6UqVkSu2Kw2tNUpvwAbl8nzGAWumJRYJGQlKl5ff7gGdrt/jmbxFGm3ibgMjlEnGo4hxID4scrPdU3HG1Wsxr/Y7XbRjXDpeD8i8j41xhD7M+kI4gkLihAZF6VSNUQ0GtKH5M21suvuWndyx3FY+yyK1yePS0VsGt8rEqmJYUHSrHO7CgJAQoJ2Loo2NzfjnXfecTr+0EMPKRqBGxwc7DJk+M477zgFEofz2Wefoby8fMCxmJgYfP/73x91XQCQmZmJ22+/3en4iy++OOq9/vjHP6K/v3/AsRkzZiget7xkyRLMmjVrwLG+vj6nsc5EStUeUj6CGAAyijNVqoTIMwwhBlx4+8WiPbpaOnF8a/nw30iqk48h5gd28l86nQ7Fl00W7VG2fr9K1dBg2mpNcNgdw3/jIOLGaOczJZE7pBVlKF7b19UHU9Xorj/QQHxwg8gzkgWjiNvrzejt7B3+GwNQZ1MHbBblD/6xUz2R9kkfIO5o9N/Ogr2dvTi04YBoj5JlM1WqhohGKyopGnrBFLC2AO8sWLFZOIJ4LrsKEqmNYUHSLFdhQS11Fnz99dfR19c34FhJSQlmz56teM8ZM2Zg2rRpA4719vbi9ddfH9U+rsbw3njjjU4je0fj1ltvdeouWFZWhm3bto14j7a2NqxZs8bp+N133624rsHWv/XWW+jo6BDtSwTIOwumT2RnQdKeuXcuEI11AoCDH+xTqRoaDekYYoZsyN8VL5aFBQ99fMCpezepSxy0yeR5jAJbWqHs8wdHEcuYqmVhSz64QTQySbnKw4IA0HyC3QVdEX+eZFiQSPPCYsIRHBaseH2bH48hLlu/H5Ze5V21dDodplw9bfhvJCK30Ov1iE1T3j1V2kVe6yo+PyJaP44jiIlUx7AgaZarsGBcnDYuijocDqxdu9bp+IoVK8R7u9pj3bp1I15/+vRp7N271+n49ddfL6orKioKixcvdjru6u9hMB9//DG6u7sHHMvIyMAFF1wgqm327NnIzBzYva27uxuffPKJaF8iAKg/Uitan84xxKRB8WMTMfmK80R7lH7o/LuI3E9yc0en0yE2VfYEOZGvm7BwoigMba41oba0SsWK6Fytwq5m7MpFgS61MF20nmFBGfEYYp7DiEYkSdBZEAAaj9WrVIl/MQnDguwsSKR9Op0OMYJRxO1+PIZYOoI478IC8ZhnIpIxpivPIZgDuLOgzWLF8a0Voj0KGBYkUh3DgqRZWu4suG/fPtTV1Q04FhQUhAULFoj3vvjii2EwGAYcq6mpwf79Ixt59tFHHzkdKyoqcgrTKXHppZc6Hfv000+dxgoPZv369S731Olk3at0Oh0WLlzodPzDDz8U7UsEAHWCMcTB4SGIz0pUsRoiz5l3t/N5dTRqy6rRcqpJpWpopCQ3qGNSYxEUbBj+G4k0LDIuCrmzx4n2KOUoYreSjkCNZ2dBCnCSMcQAw4JSZmF3VCO7PBONSFKeLCzYdLxBpUr8i/gcxu6oRH4hRvAgabufdha09Flw8J+yB6NLls1QqRoiUkryXqXb1IX+npHdD/c3lbtOoL+7b/hvHERCdhKv1xG5AcOCpFlaDgtu3LjR6VhhYSGMRvlTQbGxsSgsdE7Xu/qZI61NMhr5q2bOnImgoKABxzo6OrBz5/BPVHV3d2P79u1Ox88//3xVanO1z/bt2506GRKNRn9PP1oqmxWvT52QDr2ev6pJmwovnYQEYdi19EOOIvY0yfhOdoGgQFF0mWwUcdmGAypVQq5Iw4IcQ0yBLq1QGBY8wrCghLgrl6DTBVEgkYYFm49zDLErJnZHJSJA1P2us7kDNotVxWp8w5HPStHb0SPaYyrDgkReF5sm+7zVFqDdBSs2y0YQs6sgkXswgUCaZTYPbEduMBgQG6uN0XeuxvyWlJSotr+rvfbs2TPsuv7+fpSVlY1oPyWioqIwbpxzJxZXfx/nOnDgAKxW5w+JU6dOVaU2V/tYLBaUlpaqsj8FpoajtXA4HIrXS7t6EHmTXq/HpKWy3x8HGRb0qP6efnS1dipezxs7FCiKF8vCgsc+P4Lezl6VqqFzSYM2PJdRoIswRooCZ3WHakSfgQKd5MGNmJRYGELY5ZloJJLykkXrG49zDLEr5lqOISaiM+9JlHI4HOho6lCxGt+w9z3ZCOKx52UjMTtJpWqISCnpw1mBOoq4fMth0fpxcyeoVAkRfRXDgqRZ53YWNBqN4nG0nmCz2VwG0MaPH6/azygoKHA6VlpaCpvNNuS6srIyWCwWt9amNCzoaoxySkqKKt0YgTMdGVNSnJ8q3rePQRVSTjqCK20Cw4KkbdKw4JGNZQHbmt8bzOxkQzQiWdNyEZkQpXi9zWJD+aZDKlZEXyXpLBgeG4Gw6HAVqyHSJslDSz1t3WirMw//jeSSqVr5OYzjO4lGLjQyDDGCzldN7CzokmQMsd4QhOjkGBWrISJvkZxfAaC93r/eS9qsNuxft1u0R8mymSpVQ0QS0s9c0uvvWmSz2nDs30dFe7CzIJF7MCxImnVuWFArI4grKyvR0+PcbjwnJ0e1n5Gdne10rLu7G5WVlUOuO3LEuQ1wcHAwMjMzVarMdW2ufu5Ivic3N1eNkv7DVW2HD8uedqDAVndYGBZkZ0HSuIL5RQgOD1G83tLTj6P/cu54S+5hFo+M4uhOCgz6IL18FPF65wdhSB2tVcovvHIEMdEZ4lHEh6pVqiSw9Pf0o6tF0uWZ5zCi0UjOVz6KuPV0M6z9/jcmU0rymdKYHge9nreriPyBZAwxALQ3tKlUiW849u+j6GyWdUssuZYjiIl8ATsLjl7V3kr0CSasxI2JR2KOrCs4EbnG2RSkWeeGBePinH9BHzlyBJs2bcK+fftw/PhxtLe3o7OzE8HBwYiKisLYsWMxbtw4zJ49GxdddBGiopR3CBmp2tpal8dTU1NV+xmD7VVbW4u8vLxB17mqLTk5WdULNa5qa2lpQV9fH0JDQ0dVm5p/Z4PtN9j/XkQjIQ4LFqarVAmRd4SEh2DCJcU4+M/hO8gOpvTDfZh0uaxDIY2MpJMNABg5upMCSPFlk7Hzb1sVry/bcEDFaugsa78VHYIbS/GZPI8RAUBa0RjR+rpDNShcOEmlagJHm/DGEcd3Eo1OUl6K4i4nDrsDLZVNSClIU7kqbTMJuuWwOyqR/4hJkXUJbfOzzoLSEcSpE9LFD/MQkTqkn7mkD+trUflm4QjieYWamCxJpEUMC5JmDdZZ0GKxYO3atfjrX/+KsjLX3YisVit6enrQ1NSE3bt3480330R4eDgWL16Mu+++G1lZWW6re7DwWXKyeqn4wfYaLvjm6utJSUmq1HSWq9ocDgdqa2uH7K5YU+McuvJEba5+LtFI1R9WHjYNCg5CUp7yp9yJfMWkJVNFYcGDH+7D1xwOfiD0AHFnQd7coQBSdJksBNN0vAGNx+qRnK/uwy+BzlxrgsPhULyeXbmIzpB2OK87xM/RSpgE4zuBMx0XiGjkknJl12KbjjcwLPgVvR096G13nqYzUgwLEvkP+Rhi/+ksaLfbsffvsrBgyTJ2FSTyFdLOgm11ARgW3CILCxbM5QhiIndhX3fSrHPDgjU1NXjttddw6aWX4qGHHho0KDiYnp4e/P3vf8fSpUvx7LPPwmazqVnufzQ2NjodCw0NRUiI8jGNrvYLDg4e0c8e7uvR0dGq1TXUfkPVZrfb0dzcPOK9lHK1X3Nzs+iGIwUum8WKhop6xeuTx6UiKJiZftK+SUtlXQFbKpvEXTppZKQ3qNlZkAJJbFocMqfKHjBid0H1mapkHVIZtCE6QxoWrOV7N0WkXZ55DiManSThQxuNxxpUqsQ/mAVdBQEgLoMPbRD5C3lY0H86C57adUJ8fjzvupkqVUNEUmEx4QiNHHxK3nBMAdZZ0G6z49jnyjp5n1Uwj2FBIndhWJA0y2we+IHhwIEDePLJJ1FXVyfa12KxYPXq1bj99tvR06P8acjBdHd3Ox2LjIxU/ee4Gqk83J/HE7UNNuq5t7d30DW9vb0uA3ueqM3hcAxZG9FgGo81wG5VHjqW3qAj8hXxYxORPjFTtMfBD5R3JqSRM9dKb+7wBjUFluJFU0TryzbsV6kSOkscFszkTWoiAIhKiEZ0svLxcXVl1XzoTgF2FiTyrKQ8eWdB+j/Sm9/sLEjkP2JSYkXr2xr8p7OgdARxQlYiMkuy1SmGiMR0Oh1iBd0F22oDKyxYc/A0etqcswcjFZNqRPI4TmUhche2LCJN6ujoQH9//5DfYzAYMGPGDMybNw/Tpk1DUlISEhIS0N/fD5PJhNLSUmzbtg3vv/++y5Dctm3bcO+99+Lll19GUFCQarW7Cp656gIoZTA4//MeLvTmidpc1QUMHWQcrG41uzECQ9cWHh6u6s/SIpvNNuwoa/o/h7ccFK2PSI9GVVWVStX4prOvJ76u/F/2RXmoLVX+et719y9R9LWpo17H19joNJxQ3g01LDYcDS2NgCynozl8jQW2xBLZxaojn5Xi5LGTMIQO/rGcr7HROVl6QrTeGmr3+/df5+JrjAYTl5uIjsZ2RWu7WjtxdN8RtPWfWc/X18hUHTktWt+j7+M5jGgULOGyqTKnSysD7t/cUI4fOCZabwtzBOTfJ89j5G7eeo2FxoShr11ZE4amUw1+cT5wOBzY8fZW0R75CyegurpapYrcg+cxcjdfe42FJUQAFcrWmmpacfr0aeh0OnWL8lE71m4TrR8zY6zbz4G+9voi35Senq5qXshX6Bx81Jc0qLOzE7fccovLUcPh4eG4/vrrcdtttyE9PX3YvcxmM37/+9/j9ddfd/n1e++9F9/+9rfFNZ+1atUqvPvuuwOOZWRkYOPGjar9DAC4+OKLnX6xXXfddfjlL3856JqFCxc6fQhbtmwZfvWrX6lWV1VVFRYuXOh0/Ne//jWuueYal2vq6uowf/58p+NPPvkkrr32WtVqe/fdd7Fq1Sqn45s2bUJaWppqP0erGhsbUVIiGycaSPI7xmJCZ47i9XuMh1Ab3qRiRUTeE98fiwtaRh/2O8sOBz5O+QJWvexmDg3tkobZCLcrG6PQbujElqTdKldE5Nt0Dh0WNVwAg0P5M3jb4vejJdR/Rix5W3FbPnK6lXdn/lfSDnQZ1O8uT6RFE9vykS3497Qtfh9aQv2nK4wnTG8tRmpfouL1H6V8DpvermJFRP7vsvoLEOJQ9qB0R1AXNifvUrki7crvHIsJHcqvg21N2IfWEP7eIPIX8xtnIMoWoWhtZ1A3NiXLOvL5gmhLJOY1Txft8UXCXphClD3AQ0TuUWKagIzeFMXrN6R8AYveqmJFvmtaaxHS+pIUrz8YU4FTkQzxkfft3bsXycmyzvS+iJ0FSZOioqLwzjvvYM2aNXjuuefQ2toKvV6PZcuW4YEHHkBS0sh/8RiNRjz88MOYOXMmHnjgAVitA39Bv/TSS1i2bBkyM2UjFM9y1b3OZlM//OBqz+G6BLpKRKtdm93u+sL1UF0CB0tqe6o2d3R+1KKEhARs377d22Voxt/v/xvK1u1TvP6Fv72IlKLhA89aVltbi2uvvRbvvffeiMLdpF12qw3PlDyO3nZlAQw9dHjpkRdQtHTyqNbxNTZydqsNT457CA4oe46o5MLz8NSf/0flqnwfX2P09h1/QvnHhxSv/97yb+OSVZcP+nW+xkZH+r/H+s83IDhc3e7lvo6vMRrMzte2YsMjaxWvf+yBR5G+MIuvr1H441W/Q+1+ZV0TwmLD8cUOWecaLeI5jKReueJ51B2sUbTWGBSDrV9shT5Ir3JV2vTRw//A7teVd4954x9/RdzYBBUr0gaex8jdvPUa+/PKF3F6u7LO7wkRcX5xH2LLc59gy7OfKl4fmRSFD75c7/O/Z3geI3fztdfYp098gO0vbVG8/r2/vIOkAv8freuw2/HMeY+jp0/5GOLfv/v/3P535WuvL/JNCQn++TmFYUHSLL1ej5UrV+Lyyy/Hn//8ZyxYsACFhYWK97vsssvw6KOP4uGHHx5w3GKx4OWXX8bPf/5zackAgLCwMKdj5wYU1eBqz+FG6br6utq1Dbafq7+XswarW+3aLBaLy+ND1RZIgoKCVAvNBoL20ybFa3U6HSbPLUFIgNysTk9P52srAExcMgW73lJ+oa/uyyosumuporV8jQ3PVN0Ch115w/HUvMD+O+ZrLHBNv2a2KJx2euuJEb12+Bobmd5m5RcgI+OjkFuQp2I12sLXGJ2r68KJ2ADlYcHe+u7/XGjn62tkuho7Fa9NGJsY0H/HfI2RUhlFmYrDgrZ+G6L1kYjPVN4R1J9Y2/pF6wunFSE4LDCug7nC8xi5m6dfY8lZyYrDgn0dfUhJTNH8tfGqrZWi9dOWzUJWdpY6xXgAz2Pkbr7yGsuckAVJnDnMFuoTfw53qymtQo9J+XW6qMRolCyY7rGRzb7y+iLyJN9+HIFoBKKjo3HvvfeKgoJnLV++HNOnO7cFX79+Pfr7ZRc8znIVPOvuVv7LcjCu9hwu9OaJ2rq6ulweHyrIGBrqeiSi2rUNtt9wIUuic9ltdtQfUd4aOzE3WfMXQ4jONely2Rjz0o/2DdoBluTMNcoDzgAQNyZepUqItKV40eg6np6r5mAVTDWtKlVDpirlf5dxmf75hCiRUmlFykcQA0DdYWXhm0Bls1jRXq98/CbfixEpk5SrfIQcADQdb1CpEu2TvKeNSowO6KAgkT+KSY4VrW9v0PZY8v6efpzafVK0R8m1M1SqhojUZEyPE60318quw2tF+ebDovXj5k7wWFCQKFAxLEh0jrvuusvpWFtbGw4ePKjK/kaj0elYd3e3ql3yrFYrenqcRz3Gxw998dhVbe3t7arVBQCdna6flI+LG/zNVUhICCIiIpyOq11bR0eH07HY2NhBxyATDablVBMsva47VY5EaiFbXZP/KV48RfThrqOxHad2KXsimYZnqpaFlYwZvEFNgSkxJxkpBWmiPQ5tOKBSNYHN0tuPjiblnw/iMnkeI/qqmJRYRMRFKl5fd4hhwdFoqzPD4VDe5ZnvxYiUScqXhQUbjzEseJZZ8JmS5zAi/xOT6nyvaTTa680qVeIdVXsrYbfaFK+PMEagYH6RihURkVqMGcKwoPChfa2o2CILCxbMlTeJIqKhMSxIdI5Zs2a57LB35MgRVfYfbN59S0uLKvsPtddgP3uor6tZFwA0Nze7PJ6RMXTXAldfV7s2V/sN93dG5Ir0xlha4RiVKiHyHdFJMcieJRvvePCDfSpVQ+cyCzubsZsNBTJpd8GyjxkWVIO4QypvUhMNoNPpRN0F2+vN6DGrP0XBX/HBDSLvSMpjZ0E12CxWdDQKHtrg50kivxOTKuwsqPGw4IntFaL1k688D4YQg0rVEJGa2FlweA6HQ95ZcB7DgkTuxrAg0TlCQkIwYcIEp+N1dXWq7D9Y+Ky+vl6V/QGgocH1haoxY4YOILmqbbC9lHK1X0xMDKKjo4dc56o2Nf/OANe1DRdiJHJFOnIrjZ0FyU+pMYqY3IM3qImUK148RbT+8CcHYRN0HKAzWqtkDxJxDDGRs7RC2efh5opGlSrxf3xwg8g7xGHBEwwLAip0RxXedCci3xMr7CzYVq/tMcQnvzwmWj8ahKbwAAAgAElEQVRReA2ViNwnVhwWlH3204KGo7WiB0ki4iKRMSlTxYqIyBWGBYlccDUSV62Rt7m5udDrnf/pnTx5UpX9AaCystLpmMFgQFZW1pDr8vKcOz719vaqFpQEgFOnTo3o547ke1z9OSVc1Zafn6/qz6DAIA4LCjp4EPmySZdPFa0/tesE2jT+ZLGvkl6k4A1qCmQF8wphCA1WvL7b1IXKncdVrCgwmYRhwXiGBYmcpBXJOp43cTzniEkf3OB7MSJlYtOMCA4PUbye57kz+PAZEZ0r0McQn/xS9hk/74IClSohIrUFhwYjMiFK8fq2AOgsWL5ZNq1x3EUTXGYpiEhd/FdG5EJkZKTb9o6KikJubq7T8fLyctV+xvHjzh9Exo8fj/Dw8CHXTZniuiuKmrUdO+b8RFVJyfBPSU2e7Dzerbq6Gl1dXarU1dvbi+rqaqfjU6fKgi0UmOoP14rWp05gZ0HyT5kl2YhNk10sZHdB95Dc3AkOC0ZEnPveOxH5upCIUIyb69yZfDTK1nMUsZQ4aMOwIJGTdOFDTOwsOHLysCDPYURK6PV6JOUmK15fd7gWNotVxYq0id1RiehcseIxxNrtLGiuNaH1dLPi9cb0OJ4XiXycpCuyuVbbYeiRqPhcOIJYeJ2ViEaGYUEiF0wm51R/TEyMavu7CuXt3btXtf337XMOUowkkBcfH4/MTOe2vnv27FGlLovFgkOHDjkdH0kgz9X3OBwO7N+/X5XaSktLYbM5j38bLEBJNBiHw4G6Q8o7C8aNiUd4TISKFRH5Dp1Oh4lLZCHs0g8ZFnQHc43yJxrjxsRDp9OpWA2R9hQvcn6wZTQOfcywoJS0syBvxhA5SxWPIWbHrZEyMWhD5DVJ+cpHEVv7LKg5WKViNdpkEnyeBABjBscQE/mbqKQY0bWi9kbthgWlI4hzZufzOhuRj5N0RW6vN8Nus6tYjW9xOBzizoIF8wpVqoaIhsKwIJELTU1NTsdSUpRfODrXnDlznI4dPHgQnZ2d4r37+vpcBujmzp2ruLbt27eL6wLOhBj7+voGHAsODsb5558/7Nq0tDSXI4G3bdumSm2u/oyTJ09GfDwvuNPomGtN6O3oUbxeekOOyNdNWjp8eH0ohz4+CGs/OzeoyeFwiLrZcGQUEVC8WPaASeWO4+hs6VCpmsDUWs2wIJHa4sbEIzQqTPH6JnYWHDGz4L1YaFQYwmKGniRBRINLzksVrZeGQvyB5BwG8DMlkT8KMgQhKila8fo2DY8hPrFdGBac5XwfjIh8izFN+YMOdpsdHRoORA+n+USjqOt0WHQ4xkzJUrEiIhoMw4JE52htbXU5KrewUL0U+8UXX+w0EthisWDTpk3ivbdt24aenoFBJaPRiAsvvHBE65csWeJ0bP/+/WhokHcE2Lhxo9Oxiy66aMRdGxcvXux07OOPPxbXBQD/+te/nI4tXbpUlb0psNQfVt5VEADSGBYkP1e4cCKCgoMUr+/t6MGxfx9VsSLqau2Etc+ieL2RARsipBVmiMJmDocDhz85qGJFgcdUpfxCZHRSDILDQlSshsg/6HQ6pAlGEXfUtcFgV/6+L5DIHtyIY/cZIoGx03JE60/uPK5SJdplrmV3VCJyFpOifBRxm4bHdJ78skK0Pnf2OJUqISJ3kXZFlnZl9mXlm2UjiPPnFCDIwOsIRJ7AsCDRObZs2QK7fWD734iICBQXF6v2M8LDw3HJJZc4HX/77bfFe7/33ntOx5YsWQKDwTCi9TNmzEBq6sAnah0OB9asWSOqy2q14v3333c6fuWVV454j6VLlzpdAK+srMTOnTtFtVVUVKC0tHTAMYPB4DI4STQcyQhigGFB8n9h0eHiNvIcRawuyc1pADCm88YOkU6nQ/EiWXfBw5+WDv9NNCjJGOK4TJ7HiAYjCQsCQJQ1QqVK/Jfdboe5VvnNIoZsiGRyZuaJ1lfuYFhQcsM7JCIU4bH8XUHkj2JSjYrXmqpbYBE82OotNqsNp3adVLxeH6RHljDETkTuF5suCwu2CT7/+bryLbKw4Li5HEFM5CkMC5JmVVRUuOwAKGGz2fDSSy85HXfVCVDqtttuczr25ZdfYs+ePYr3PHXqFD799NMBx/R6PW699dYR7zHY9//lL38RjUlet26d03jnMWPGYNGiRSPeIzc3F/Pnz3c6/sILLyiuCwBeeeUVp2NLly5VdfQ0BY46aWdB4c04Ii2YuGSqaP3BD/eqVAkBEI0FAHiDmugs6Sji03sr1SkkAPV396GrVflnlbgxCSpWQ+RfpA8zMSw4vI7GdtitNsXreQ4jkknMTUZkfJTi9fWHa9HT3q1iRdpjrlb+0Aa7oxL5L6MgTOOwO9ByslHFajyjtrQK/d19itdnTB6LkIhQFSsiIneQdhaUXo/3ZRXCzoLSRhNENHIMC5ImrVu3Dtdffz1WrlyJXbt2qbbvG2+8gePHnZ8Gvemmm1T7GWcVFxdjzpw5Tscff/xxWCzKnpj69a9/DZtt4AXmxYsXIzs7e1T7rFixAkbjwKe+TCYTnn32WUV1dXZ24vnnn3c6/s1vfhNBQaNrJXzXXXc5Hfviiy+wYcMGRbWVlpZi3bp1A47p9XrceeedivYjEocFC9NVqoTId01aWiJaX3+kFk0nGlSqhqSdBRkWJDpjwiXF0Acp/4hdW1qlyc4JvoDnMSL3SS8aI1ofbY1UqRL/Je7ynMFzGJGETqdDtqC7oMPhwOndyrtIaZ3D4YBZMC6U78OI/FdSnqwZQ+Mx7V37O7Fd1uAkd1a+SpUQkTtJwtAARJ3lfVnLqSa0nGpWvD40MpTdVYk8iGFB0hSbzYYnnngCDz74IHp7e9HZ2Ynbb78d69evF++9detW/PrXv3Y6vmDBApx33nni/V35yU9+guDg4AHHDh06hCeffHLUe7355pv47LPPBhyLiIjAD37wg1HvFRkZ6XLdG2+8gY8++mjU+z3yyCOoq6sbcKyoqAjLly8f9V5Tp051Obr4Zz/7GU6eHN2FuY6ODjz44INOAcsbb7wR+fn8UEbK1B+uVbw2OikGUYkxKlZD5JtSCtKQnC+7YHjwA44iVotZMDIKkD9JSeQvIoyRyJmt/D2kzWJDXVm1ihUFjlbBCGIAiMtkVy6iwXAMsftJOnIBDNoQqSF7hmwU8ckAHkXc1dIBq+CBFwaeifyX9NpfY0W9SpV4zskvZWFByTUFIvIcaViwTfCghS87srFMtD73ggIEBRtUqoaIhsOwIGlKe3s73nvvvQHHent78d3vfhfPPPMMrFaron3Xrl2Le++912m90WjEo48+Oug6k8mEyZMnY/z48QP+z1Xo0JX8/HzcfffdTsffeOMN/OpXv3IKsQ3m3Xffxc9//nOn4w888AAyMpRd2F++fDlmz5494JjD4cAPf/hDfPDBByPaw2q14mc/+xn++c9/DjhuMBjw+OOPw2BQ9gv/oYceQnz8wAtJZrMZt956K44ePTqiPVpbW3H77bfjxIkTA46np6fje9/7nqK6iDqb29HR1K54fSq7ClIAmXi5rLsgRxGrxyzuyMWQDdFZ+ReOF60/vadSnUICjEkYFoxnWJBoUPFZiQgOD1G8nmHB4bE7KpH35Qg6CwJA5c7ADQuKu6MKb7YTke9KHpcqWq/NzoIVovW5s8epVAkRuVN0cqxouoip1j/HEB/6+IBofcFcjiAm8iSGBUlT4uLi8NprrzmNyHU4HHjxxRexYsUK7NmzZ8T7lZeX44EHHsAPf/hDdHd3D/hacHAwnnnmGaSkDP70U1dXF/r6+pyOm0wj79Bz11134eKLL3Y6/uqrr+KGG27Azp07B1174sQJPPDAA1i1apVTsPCKK67AzTffPOI6XHn66aedwob9/f343ve+hwcffBCnT58edO22bduwYsUKvPXWW05f++lPf4qJEycqrisuLg6/+93vEBIy8IZFfX09li9fjt///vdob3cd2Orv78e7776Lq666Cvv37x/wtYiICPz+979HZCTHJJEydYKuggCQVijr2kGkJdJRxOWbDqOvq1elagKb5OKEPkiPmJRYFash0rax58lGZZzeE7gj7CTEN6kZtCEalF6vR5rgoaYIWxj6u/tVrMj/cAwxkfdJxhADwMkvAzcsKO1Uz8Azkf9KzpeGBbXVWbDL1ImGo3XDf+MgIuIixQFLIvIMfZAeManG4b9xEG1+OIbYbrPj8Celoj0K5k1QqRoiGgn28STNmTRpEt5++2185zvfweHDhwd8raysDDfccAOmTJmCSy65BJMmTUJmZiYiIyNhtVphNpvR1NSEvXv3Yvv27di1axccDofTzwgLC8Ozzz6LCy+80O1/nqCgIDzzzDO4/fbbnYKO+/fvx0033YQxY8bgvPPOQ2pqKnQ6HVpaWlBaWoojR4643PP888/Hk08+CZ1OJ6otMTERL7/8Mr7xjW+gqalpwNfWrVuHdevWobi4GBMnTkRcXBysVivq6uqwZ88ep7HDZ91999342te+JqoLAKZPn46nnnoKDz74ICyW/xt10dfXh9/97ndYvXo1pk+fjvz8fERFRaG3txeVlZXYtWsXOjo6nPYLDQ3Fs88+i+LiYnFtFLjqDtWI1jMsSIFk3NwJCI0MRV+Xc+h+JKx9FhzZWIYpV05TubLAI+ksGJtmFD1FSeRvxp6XLVp/em+lKnUEGnYWJHKvtKIxijuf6qBDy/Em5I2XBXH8mVl4o4hBGyK56KQYJOYkoflk0/Df7IK5phWmmlbEBWB411TDwDMRuRYeG4HopBjFk3iaNBYWrBSOpM+ZlS++p0dEnmPMiINZ4fsg6cMWvujU7hPoau1UvD44LBhZM3jdgMiTGBYkTcrKysLbb7+N1atX4w9/+INTd7/9+/c7dY0bqdzcXDz33HMYP142Qmw0IiIi8Kc//QmrVq3C+++/7/T16upqVFdXj2iv6667Do899hiCg4NVqS0vLw9r1qzB3Xff7RTOBM4ENMvKyobdx2Aw4Kc//akqQcGzlixZgoSEBNx///0wm80DvmaxWLBt2zZs27Zt2H0SEhLwP//zPygpkXW5Iqo7LAwLFjEsSIEjODQYExZOxP61uxXvUfrBPoYFVSDpZsMbO0QDJeYmIywmHL3tPYrWV+8/BZvVhiBDkMqV+TdTtfKwoE6n47mMaBipE5R3FgSA5grtjZDzJMl7MUOIAVGJ0SpWQxS4smfmKQ4LAsCpnccDMiwoefgMOHOjnYj8V1J+iuKwYMupZlj7rTCEaONW9ontx0Trc2blq1QJEXmCMV35e5iu1k5YevsRHBYy/DdrxKENshHE+XPGIzhUnWwDEY0M24CQZoWEhODb3/421q9fj5tvvhkRERGi/RISEvCTn/wE69atEwcFlTz9ExISgt/+9rfDjj4eTFpaGp5//nn88pe/VC0o+NW933rrLdx///0ICwsb9fqSkhK8++67qgYFz5o5cybef/99XHHFFaNeq9PpsGzZMrz//vsMCpIqpGHBVHYWpAAz6XLZuffgh3tddgimkevt7EVPW7fi9exkQzSQXq/H2JJsxestvRbUH6lVr6AA0Vql/CZ1dEqsZm4+EXlLuvChpqZjjSpV4p/MgsCzcUw8O9AQqSRb2MnkpLCjlFbJxxCzwzORP5OM1XXYHWg+qZ33kSe/lIUFc2czLEikJZKwICDvMO9ryj6WhQWLLpusUiVENFK8Ik6al56ejocffhjf/e538dlnn+GTTz7B7t270do6/A2j2NhYzJ49G4sXL8bChQsREjK6BH9MTAyioqLQ2TmwrW5+vvI39UuXLsWCBQvwz3/+E2vWrMHBgwdht9tdfq9er8fkyZOxfPlyXHHFFYqCfCMVGhqK++67D8uXL8eaNWvwj3/8A1VVVYN+f0hICObOnYuVK1fioosucuvF6+TkZDz99NO444478Le//Q3r16936jT4VUajEUuWLMHXvvY1TJgwwW11UeCpF4QFw2LCxR8uiLRm4uVTRetN1a2oOViFMZPHqlRR4FE6KuEsnreInGWWZKN8s3NH7pE6veckMiZmqliR/5MEbRh6JhpeWtEY0Xp2Fhycw+EQdRbkOYxIPTkzZWHByp2BGRY01So/h+mD9IhJiVWxGiLyNcl5o2+M8VWNFfVIHS/rcu0JdrtdHBbMFv4eIiLPihVeF2+rNSEpV3aO9BXd5i6cFHZXLV7EsCCRpzEsSH4jKioKV199Na6++moAQFVVFSorK1FbW4vOzk709vYiJCQEkZGRSE1NRU5ODrKysqDXK2+wGRMTg927d6OiouI/ne2MRiNWrlwp+rOEh4dj+fLlWL58OTo6OrB//37U1tb+JwBnNBqRnp6OKVOmIDras+NmUlJScN999+G+++5DQ0MDDhw4gMbGRnR0dCAkJARGoxE5OTkoLi4edfhSasKECXjsscfw6KOP4tixYzhy5AhMJhO6uroQGRmJuLg4FBYWIi8vj0/ek+p62rtFN3nSCjP4uqSAE5cRj8ypWajad0rxHgc/2MuwoIC0C4SRN6iJnIw9L0e0/vSeSpx/y1yVqvF/vZ296DYLOqRmspsN0XASc5NhCDHA2m9VtL65QjsdYTztzPgpi+L1DAsSqSezJBv6ID3sNtcPbQ+ncucJ2O120bVmLZKMIY5NM0IfFFh/X0SBRtJZEAAaj2njoZPGinp0m7oUr0+dkI7IuCgVKyIid4vLkH0WMwmvy/uSI5+VKX4PDZxpSJDOB6eJPI5hQfJbmZmZyMz0zC+WTZs2/ee/33nnnYiKUu9NfXR0NObMmaPafmpKSUnBpZde6u0ynOh0OowbNw7jxo3zdikUQKQjA9M4gpgC1MTLS0RhwdKP9mHJT65WsaLAYhJ04wLkF0WI/NHY87JF60/vrVSljkBhqpKdx+IZtCEaVpAhCCnj01BzcPDpAkMxnWqBpc+C4NBglSvTPskDZwBgTOc5jEgtoZFhSJ+Yier9yj6f9rb3oOFoXcBd35F0qzfy8ySR30vKF4YFK+pVqsS9pB21cmZxBDGR1qjRWdBflG3YL1pfdNlkNlMh8gI+tkUk5HA48PbbbwM4Mw73pptu8nJFROQNdYeUjyAGgNRC3x+nQOQOk4SjiI9vLUdXa6dK1QQedhYkUl/q+HQEhyvvsF297xTsduVP4wYaaViQnQWJRiatSHn4xWF3oLG8TsVq/IckZAOwsyCR2sSjiHcE1ijivi5Zh2djhuwmOxH5vuR82YjNpuMaCQsKRxAzLEikPUZhWNDsJ2FBh8OBQx8fFO1RxBHERF7BsCCR0NatW3H69GkAwD333IPQ0FAvV0RE3lB3WNZZML1ojEqVEGlLzqx8RCYo78jrsDtQtuGAihUFFmk3G3YWJHKmD9Ijc2qW4vW9HT1oOq6NUUu+QHweY9CGaETSCmWfV2qFD1f5K3FnQZ7DiFSVLQwLngywsKD04TN+niTyfxHGSEQlRiter5UxxCeEYcHc2QwLEmmN9KEHfwkLNhytRevpZsXrdTodChdOVLEiIhophgWJhN58800AZ8YeX3/99V6uhsh97DZ2uBlK3eFq0Xp2FqRApQ/So3jxFNEeBz/cq1I1gcdcK7xBzU4QRC6NLckWrT+9p1KVOgJBKzsLEnmEpLMgIO/E7q/MDDwT+RRxZ8GdgRYWlH6e5DmMKBAkj1M+irilsgnWfquK1aivr6sXNQdOK14fEhGK9ImZKlZERJ4QHhshmiziL2OIpY0csmbkIipBeaiciJRjWJBIoLGxERs3bgQA3HfffQgODvZyRUTu09HUjtduW43+nn5vl+KT6gWdBYPDgpGQlaRiNUTaMunyEtH6svX7GWhWSNLNJjIhCsFhyi+IEPmzsefliNYzLDhy0jHE8QwLEo2IOCwofLjKX8m7o/IcRqSmtKIxCI1UPjWmev8pWHoD57qZSdhZkA+fEQUGyShih92BlsomFatR36ndJ0XXJbNn5CLIEKRiRUTkCTqdDnGC9zLShy58hTQsWHwZRxATeQvDgkQC77zzDqxWK8aNG4errrrK2+UQud2217bg/13zNAOD5+jv6UfzyUbF61MnpEMfxF/JFLiKF02GTq9TvL6rpRMnd8jGfQQqydgo3pwmGtzY87JF66v2nlSnkABgqlYeFtTpdYhNM6pYDZH/Ss5PhV5wE5OdBV0zCW4Q6YP0iEmJVbEaItIH6TF2mvKHPmwWG6r3K+8upTXy7qj8TEkUCJLzlXcWBIDGinqVKnGPk9tl1yRzZnEEMZFWxaYLwoK1ZjgcDhWr8TxLbz/KNx8W7VG0iGFBIm9hMoFI4MCBA4iJicFDDz0EvZ7/nCgwHP7kIF679QVvl+FTGsrr4LArf1OfWijr0kGkdZHxUcg9f5xoj4Mf7FOpmsBhs1jR0dCmeD27QBANLq1oDAwhBsXrT++p1PwFQ0+RdOWKTTUiKFj5/05EgcQQYhB1hWkor4fN4tsj5LxBErSJTTPyoTMiN8ieIRtFfHJH4IwilgSeAX6mJAoUSdKw4DEfDwsKH2BmWJBIu4wZ8YrX9nf3oaetW8VqPK/i86OwCJrLhMdG8BxI5EW8okQksHr1auzcuRPnn3++t0sh8qjda75EzcHAeVJ6OPWHZV0y0hgWJFJhFDHDgqPVVid7ejFOcDGEyN8ZQgxIn5SpeH1XaydaTzerWJH/MlUpv0kdxxHERKMiGUVst9rQeKxBxWr8gyRoYxzD92JE7pAzUxoWDJyu9+Za6RhinseIAkHyOP/tLOhwOHBiW4VoDwZliLTLmCZ78EH6XsrbDglHEBcunMgx7ERexLAgEREpsuE3//R2CT5DOlKLYUEiYNJSWViwat8p9LRr+0k8T5N04wJ4Y4doOGNLskXrT++pVKUOf9bT1o3ejh7F6+MyeR4jGg3p5xaOIh6op70bve2CcxjDgkRukS0MC1YGUGdBc3WL4rWR8VEICQ9RsRoi8lWS7tQA0Hjcdx84MVW3oq3OrHh9/NhEGAVjTInIu2LTjaL15hpthwXLPpaFBYsu4whiIm9iWJCIiBTZ9/edsPZzjBQA1B0RhgUFHTqI/EXGpEzRDU+H3YHjW2VP8gYas3BkFG9QEw1t7Hk5ovWn95xUqRL/1Vql/AY1AMSNYWdBotFIKxojWl93qFqlSvyD9MZQXAbPYUTuED82ETEpsYrXN1bUo6u1U8WKfJfkPMYRxESBI8IYiajEaMXrfbmz4Mntwq6Cs9lVkEjLpA/Tt2m4s6CpphW1pVWiPYoXMSxI5E0MCxIRkSJ9/5+9+wyPs74S/n9mNOpdstpIliVZstXcscHGNgaMTSeUJEAKkOymLNkndTfJbrLZbHmetE3+m5Cwye4mZEMgIYEkdBeMKca4YGOr2pYtWbZGvVp9NDP/F1zZADFGus9v+vfzLtjnzLlyXfy4y7nPGZuSU8qb4UihmZBhd8Sov64EIoHNZlOvIm55qdlQNdFBO1mQZkHgwopXlqji2w+3GakjknGOAYGl/cips4nJgm/GGQaEJpvNpp4uePrgKUPVhC7PjEeGu6xP02JSPRBdchTPv/vbekN2aMGpV3Wr58tYQQyENe1k0HBeQ9yonCqYX+mUrOJ5hqoBYAXNggAAyxq31wW7hKDzuGdUXzfmVeRLTKzDYEVA+Kq5ZpkqvmXPMUOVRAftNBte7gAXVrikWOwx1m+5WUP87gaVkwWz5jOVC5iLvEUFYrPbLMd3NrkMVhP+BhXrO0VEMmgWBPymZLWuWbA1ClYRj3QNic/rsxyfyf0kEFXyKvItx/q8Pulv6zVYjTmt+3TNgkwWBMKbdlKydvNPMDVsYwUxEO5oFgQAWNa0k2bB3pPd4nF7LMfnVzkNVgOEt/L1i1XxrftOinvKbaiayDfYoV3fycsd4ELiEuNUU7hGuobkXPeIwYoij7ZZMJNmQWBO4hLjJKcs13J8V7NLvB6vwYrC25B2siArPAG/KVVOFmw7EPnNgvqPzzjDgGiSs9B6s6CISE9L6K0inpmekfZDrZbjY2JjpHhFibmCAARceoGyWbDT+pTmYPJ6vNK0Q/d+mBXEQPDRLAgAsOz0wVMyNjga7DKCSjsdo6BKt8oLiCQp2amqxpqZKXdUrHsyRbP6Lj45XhLSEg1WA0Sm4pWlqviuelZ2XsiAcioXzYLA3BVUF1mOnZlyS19rj8Fqwpu60aaIMwzwlwUXlaniW/e1iM9nfepeONCuUmdSPRBdchWTBUVEtdnHX84ebRf3pPWPlucvXyCxCXEGKwIQaHGJcZKclWI5PlwnC54+eErGB8csxzviY2XRZVUGKwJgBc2CAADLfF6fHNvVGOwygqqzUfcSn2ZB4K0q1leq4lteYhXxbGleUGcUZYnNZn0NIRAttFMCaBa8MM1kQXuMXdLzMwxWA0QH7f2L9v4pkgwqXwxlOJnKBfhLclaKqrHlXM+IDLT3Gawo9GhfbjOpHoguueV5qvielm5DlZjT+uoJVXzpxRWGKgEQTOmK+7Jhl+4DsmDRriCu2FgpcUnxhqoBYBXNggAAFe2o6XDX2axsFlRMUQMiUfkG3Srilj00C86G1+tVvdxhCgQwO8UrS1TxXQ26CcaRTjPRJt2ZKfYYHokAc6W9f6FZ8E80Z1haXro44hwGqwHwdiXaVcT7I3sV8aB6DTH3lEA0yVE3C4beZMFT+1pU8WWXlBuqBEAwZTitf4g63DkkXo/XYDWB0bhd1yxYs4UVxEAo4Mk4AEClcYfuojDcaV522Ww2yVvsNFgNEP7K1+uaBU/uOSZeb/jdYAfaaN858bg9luOZAgHMTtGyBaopnJ1MFnxHPp9PBs9Yb7TJYgUxYEm+drJg01lDlYS/QcUq9QyuxQC/K12ja+JojfBmwaEO62eYiEhGIdNRgWiSnJkiydnWV3X2huRkQV2zYCnNgkBEyHBavzfzerxyrnfEYDX+NzY4KhFOXLgAACAASURBVKeUk1Wrt9IsCIQCmgUBACp9rb3SezL0btYDwev1Slez9Yk/2aU5EpcYZ7AiIPxlL8iRTEUDx/jQuLjqeQn9boYUk2xEWHsHzFZCaqJqhd1Ix5DEepkcdT7jg2MyPT5lOT5zPo02gBX5lbqPnVxMFhQRkemJaRnrH7Ucz4cbgP+VaicLHoj0ZkHrkwVjE2IlOct60xCA8KS5N+5v6xWPe8ZgNTrnekdU70RSc9JkXmmuwYoABItmDbFI+K0ibn6uQXxen+X4jMIscdYUGawIgFU0CwIA1BqjdBXxwOk+cU9MW44vUE7lACJVhXYV8cusIn43g4oVxCIimUVM5AJmS7uKON2daqaQCDNwRjfNJrOQcwywIiElQbIXzLMc39XkYgq06F8IaaZXAJidomXFYo+NsRx/+mCreGasT3MPdUOKe8qMwizV9G0A4Sm33HqzoNfjlb62XoPV6GhXzZdcvJBzEIgQmcppydrn9IHWuE23ba76qiWcf0CIoFkQAKDWtDM6mwU7m3RTMWgWBM6vfH2lKr7l5WZDlUQu9WRBVkYBszZ/RYkqPt3N1JXz0Z5jTBYErCuotn4fMz0+JQPtumbfSDCoPcOYLAj4XWxCnORVFViOnx6fki7lc6NQ5fP5VOcYZxgQnTTNgiIiPSe6DFWip13BWXZxhaFKAASbfrLgkKFK/M/n80nDdl2zYM3VywxVA0CLZkEAgNqxXQ3i9UTfdIhO5Qqt/CrdCi8gUpWv100WPPHSMfH5rI/CjwaDipVRIrzcAeaieGWpKp5mwfNTTxZUrLwHol1BlW5lUGfjWUOVhK/Bs8ozjGsxICCcy+ar4lv3ReYq4vHBMXFPui3H8/EZEJ1yy/NU8b0t1tf+mta6r0UVX3pJuaFKAARbRqHu3kwzrTnQuppdMqh4Hmez26Rqc63BigBo0CwIAFAbHxqX0wdPBbuMgOtqcqnindW6l2xApCqoLpSkzGTL8UMdA9IfQqtJQpH2IYT2IQgQTYqZLOgXmoeTIiJZNAsClmkmC4ro76MiAZMFgfDgXK5sFtyvayYJVer7SVapA1EpR9ks2B0ikwW9Hq+qGdxms0nJ6jKDFQEIpgzlZMEhl+6j/kBqUK4gLlm9UJKzeM4JhAqaBQEARjQqR0+HI1eTbiJGfiWTBYHzsdvt6umCLS8fM1RNZNK83LE7YiQ1N81gNUBkS85KkeySHOvxniSZHJkwWFFkYCoXEDzaZkHthPZIoG0WzOAMAwKicJnuI8+2A5H5YS0NzwCsyK3QrSHuPRkakwW7ml0yec76PXpBTZEkpiUZrAhAMKXlpYvNbrMcH07Ngtr3wNVblhqqBIAJNAsCAIxo3Fkf7BICyufzqSZiZBRmSWI6DwWAd1J+qXYVcbOhSiKT5uVOhjNT7HZuI4C5KF5Zoorvbuw0U0gE0ZxjMbExkpqXbrAaILoUVOmaBbUfXUUC7VSuTKY8AwGRvTBH3LYZy/Gu+jMyNTZpsKLQMNShe6nNpHogOiVnpqgmSvWEyGRB7QrisotZQQxEEnuMXdLzMyzHD4dJs+D0xLQcf6FJlaNmK82CQCjhLR8AwIhTe0+ovqgLNyNdQzIxPG45vqCKqYLAhZRvYLKgP2le7jAFApi74hWlqviueqZwvZ1mDXFGYRZNz4BCYnqSqtGjs7FDfD6fwYrCj6ZZMCkzWeKS4g1WA+Cd2Ox2GYo9Zzne6/HKmcNt5goKEYPaNcSFunV9AMKXZrpgf1uveNzWG7hNOfXqCVV8Kc2CQMRJV6wi1l5XBUrLS83inpi2HJ+YniQlaxYarAiAFk/HAQBGeGc86q9KwolLuTpLO40DiHQLVpVJbEKs5fiuZpeM9Y8arChyTIyMq5q7ebEDzJ12smAnzYJv4fP5VJMFM+dnG6wGiE6aVcSTIxNhtWrJH1RnGB9uAAGlaRYUEWndf9JQJaFjiDXEACzKKc+zHOv1eKWvrddgNdZoJwuWXkKzIBBpNM/Lx/pHxT3lNliNfzRs060grrqqVmIcMYaqAWACzYIAAGOadtQFu4SA6WrSvbTPp1kQuCBHnEP9pe3Zg6cNVRNZWBkFBF7xSiYLmjTad07ck9YfpGbN5xwDtLQfP3UqP74KZx73jIx0DVuOp8kGCKyhuBFVfEQ2C7qsNwva7DZJU6zqAxDecsutTxYUEelt6TZUiTWT5ybEVX/WcnxCaiJDBIAIlFGg+7h+uHPIUCX+07hd1yxYs2WZoUoAmEKzIADAmMYoahbUvtzSTOIAokX5et0q4vb9rYYqiSyaSTYiIpk0CwJzlpaXLhmKlST9J3tlamzSYEXhTXuOZRQyWRDQ0jcLWn/JGu6GO4dUa5j5cAMILO1kwbZIbBZUfICWlpfOVBkgiuUqJguKiPSc6DJUiTVtB06pruNK1pSJPYZX80Ck0d6jDYX4KuLBs/3iatDdw1dvXWqoGgCmcEUCADCmq9klg2f7g11GQHQ2u1TxfEEIvLuKDZWq+DMHaBY8H+05ncE0G8CS+YpVxD6vT84ebTdXTJgbPKM7x5gsCOhpP36K5smC6g83imh4BgJpKmZaUvPTLMf3t/XKSI/1aaKhiFXqAKzKrdBNFuwJ8mTBU6+eUMWXXlxhqBIAoSTdqZuaPOzSbQLyt8btukExBVWFkjWf+1gg1NAsCAAwKlqmC2omYSRnp0hqjvUHzUC0KFtbITa7zXJ8Z71LYrxc7r6ddg1xZqFurQIQrYpX6FYRtx9qM1NIBBhQNgtm8oASUFM3CzbRLGgVjTZA4DmXzVfFnz5wylAlwTc9MS1jA6OW45mOCkQ37RrinpYgTxZUTostu6TcUCUAQol2E8+g8nm9vzUoVxBXb2GqIBCKeHsKADCqaWd9sEvwu9H+c3KuZ8RyfEF1kcFqgMiVkJoo85cvsBzv83glw01j7tsNadd3Ms0GsKRYMVlQROTM4TYjdUQC/WRBzjFAKyU7VVJzrV9nuRrOqla4hTPtiqkMPtwAAs65XNcs2BpBq4jVk+qdnGFANEvOSpHkrBTL8b1BbBb0+XwGJgvSLAhEonTl9U0oTxb0erzSpBwSwwpiIDTRLAgAMKp5Z714vd5gl+FXXcopGAWVTkOVAJGvfL1uFXH2dLqhSiLHoEv5gpqXO4AlxSuVkwVpFvxfg9pGG6ZyAUZoPoIaHxxTfYAVzlhDDISfwuXFqvi2A5HTLNjV5FLFc4YByCnPsxzb19orHveMwWpmr7+tV3X9Oq8sl21DQITSPi8fUj6v96e2AydlfHDMcnxsQqwsuqzKYEUATKFZEABg1LneETl7pD3YZfhVp/LBqHZlFxBNKjbomgUzaRb8M5rJgqm5aeKIcxisBogemUVZkjIv1XK8q/6MuKfcBisKX5rJgo74WF7QAIYUVLGK2AptwzNriIHAK1hSKDabzXJ82/6TETNNtaP+jCqejzYA5FZYX0Xs9Xil/3SfwWpm79SrLap4VhADkSspM1liE2Itxw+5hgxWY1bDNt0K4oqNlRKXGGeoGgAm0SwIADBOO5I61HU2KicLKl+qAdGkfP1iVXymO008bo+haiLDUIf1tQa8nAass9lsqlXEHrdHOhvOmisojGmaBTOLslQv+wH8ifYjKO19VbjSfLgRn5IgCWmJBqsBMBvxqQmSX2V9S8TYwKj0nuw2WFHwdDbqrkfz2bYBRL3chdYnC4qI9JwIziriVvUK4gpDlQAINTabTbWKeEj5QZk/NW7XNQtWb2EFMRCqaBYEABjXtDPCmwWblc2CTBYEZi0tL131xbHDFyNdDbppoJHEPeWWc73WV6ZkFNIsCGgUr1CuIj7UZqaQMOb1elUrPDPns/oOMMWpbhaMzgZozTQcGp6B4ClZs1AV37Y/MlYRuxq0H9DSLAhEO81zPhGRnpbgNF+3Ks9xJgsCkU3z3HzYNRiSU6jHBkeldZ9uqmrN1mWGqgFgGs2CAADjTrx0TKYnpoNdht9oJmAkpCbSbAPMUcV63SriM/tbDVUS/oZd1qcKiohkcn4BKprJgiIi7Yc4z0Z7z6kmxjIhFTCnoLpIFR+Na4gnhsdVUyM4w4DgKV2taxbUNpmEAs+MR7oUZ/e8slyJT04wWBGAcJRbrmwWDMJkQfeUW84cbrMc74iPlaJlC8wVBCDkZDgzLMdOjU3J5LkJg9WY0fxcg/i81psYMwqzGJ4ChDCaBQEAxs1MuaXl5WPBLsMvJs9NqFbf5Vc5mQQBzNHC9YtU8WcOtpkpJAJopnGJMFkQ0CpeqZwsqHg5ESkGFNdhIjTaACal5qZJclaK5fhoXEPsUk5TzOAMA4JGPVnwQPg3C/ae7JaZ6RnL8c4aXZM5gMignSzYezLwzYJnDrepzr/ilSXiiHMYrAhAqMlw6u7Vhjp0H/mbNjM9I7u+/6wqR82WpbwPBUIYzYIAAL9o3H402CX4RVezbp1pQRVf0QBzVbFBOVnwQFtIjvEPBs3aOxGabACteWW5kpieZDn+7JHT4pmxPlUvEmg+2hARyWINMWCMzWaTfMU6yZHuYRntGzFYUejr1K7vrOR+EgiWwiXF4oiPtRzffqhNPG7rjSahwNWga3h2KifSAogMyVkpkpSZbDk+GJMFT7zUrIovvZgVxECky3BmquKHlBuBTPL5fPLgJ/5LPRSm5uqlhioC4A80CwIA/KJpZ32wS/AL7aosmgWBuctZmCdp+dbH+I8PjKkbfSNFp/LlTkah7qEHEO1sNpvMX1FiOd496Y7680zbLJhJsyBglPb+5sRLkTmR/p2oG21qabQBgsUR55DilSWW42em3NJRd8ZcQUHgqucMA2CGZrpgX1tfwJuv9z/0iiq+7JIKQ5UACFXa5+ZDHbqNQCZt+9YTsveBF1U5bHabVG6uNVQRAH+gWRAA4Bdnj5yWke7hYJdhnHZVlmbyBhCtbDabVGxYrMqh/QI4UnTU615O0WQD6BUrmgVFRNoPtZopJExp16kzIRUwq0A5Jar5ucj8yOyduBp012Ks8ASCq2S1bhVx674WQ5UEh3aVOmcYgD/KLc+zHOud8ag3Z8zFmdfb5OyR06ocZZcwWRCIdOnKyYLDriFDlegcemy//O7Lv1LnKVmzUJIzUwxUBMBfaBYEAPhNJL740U7zYeUKYE35pbpmwZN7omtqzTvRTLJwxDkkpyzXYDVAdNJMpBF5Y4VdNOtp0a2coukZMEvb+HHs+UZDlYQHzWTB+JQEySqeZ7AaAHNVukbZLHjgpKFKgkMzqd5mt0l+JR/QAnhDbrn1yYIiIj0t3YYqeXevKKdrpRdkcB8KRAHtGuLBEJgs2HbwlPz0Qz8ykqtmCyuIgVBHsyAAwG8ad9YFuwTjOhVfUTviYyW7JMdgNUD0KN9QqYqPthV35zMxPC4D7da/vM6vKpSYWIfBioDoVLyyVBXffrjNTCFhyqWYkBqbGCfJWXzVDJhUsrpMbHab5fjOpg4Zcg0arCh0jQ2OynCn9WkRBdWFYrNZ//8agF6JslmwbX/4NgvOTM9I17FOy/E5C/MkNiHOYEUAwlmOtlnwhO4jstmamZ6R/Q/tUeVYeOkiruGAKKBtFhzuDO598eDZfvnRTd8R98S0kXzVW2kWBEIdzYIAAL9p2l4nPp8v2GUYMz0+Jb2neizH51c6xR7Df3oBK4qWFktCaqLl+P62Xhk822+wovCjXUFcuGS+oUqA6Ja3qEDikuItx5853CZer9dgReFjenxKek9avxabV5rDSxrAsKSMZFmwStcEfez5BkPVhDbNRC4RkcIarsWAYMtZmCdJmcmW47uaXDIxMm6wosDpOdEl3hmP5XhnLWcYgD/Jq9A1C/YqJ87PVv3Th2W075wqx9LrVxqqBkAoi0uKl6SMJMvxwfyIbnJ0Un5443dUH7e9Web8bCldw/p1INTRsQAA8Jsh16B0NnUEuwxj2g+3ic9rvfmxoIp1K4BV9hi7lK2rUOVoeTm6pwu66pUvqHm5Axhhj7HL/OULLMdPjU5KbwBXLoUSV2OH6kMUmp4B/1h8eY0qvvm56GgW7FBeixXUFBqqBIBVNptNNV3Q5/NJ+2utBisKHM0adRERZzVnGIA/ySnPU8X3BKhZ8JWf61YQxyfHy4pb1hiqBkCoyyjMshw71BGcZkGvxyv//YH75Mzrp43lvOwTmxmcAoQB/i0FAPhV047IWUWsXRdTUMWDUUCjYj2riDU66tpV8TTZAObMX1Giim8/FJ4vmbU0K4hFRJxM5QL8ovLKWlV8866GiJpI/07UjTY1RYYqAaBRulq3irj+mSOGKgks/XUYZxiAP0nJTlVNau0JwAd0Iz3DUvfU66ocK2+7WBJSEgxVBCDUpStWEQ93DgVlk8ijf/uQHH3ikLF8hUvmy+bPXWssHwD/oVkQAOBXTTvrg12CMW0HdM2CrFwBdMo3LFbFt7zcbKiS8KRdQ8wZBphTvLJEFd9+qM1IHeFGPyGVl9SAP5RfukgccQ7L8QPtfdJ3yvqK8XDR2UizIBAJNJMFRUT2/HS3TE9MG6omcFzaM4z7SQBvk6uYLtjX2isexWr02dj/0Cuq9esiImvv2mioGgDhIKPQerOgd8Yjo726tedz9eJPnpOd33vaWL6kjCT52COfltj4WGM5AfgPzYIAAL86vrtRZqZngl2GEa3KyYLaB8pAtCtZvVBiYmMsx7vqz8rY4KjBisKHz+eTjjrrzYKJ6UmSWWR9jQKAtypeWaqKbz8cnZMFO+q1E1KLDVUC4M3ikuKlbG2FKkfTc5Hzkdk70UwWTExPUq20AmCO9tnO2MCoHHj4FUPVBI7mDLM7YiRvUYHBagBEgtyKfMux3hmPDJzuM1jNn9urXEGcXZIjFRt1W1IAhJeMAuvNgiIiQ67ArSJu2lknD9/7M2P57I4Y+fhvPyv5i53GcgLwL5oFAQB+NTU2Jaf2ngh2GWqjfSOqaRcZzkzJ5OUOoBKXGCclipVPPp9PTr0S/ueRFUOuQRkfHLMcX7hkvthsNoMVAdHNWV2omsLVfqgtKlZ2vp1msmBsYpxkl+YYrAbAmy2+vEYVf+z5BkOVhKZzvSNyrmfEcryzpohrMSBEpOWmS3aJ7pri+fu2hdW1nHtyWnpOdFmOz6vIV137AohMOQutNwuKiHQrzqV3c+b1Njl75LQqx9q7Nordzmt4IJpo1hCLiPSe9P+KdRGRruYO+fF7/128HnNrjz/wo49I5RW65wIAAourFACA3zXuqAt2CWptB06p4pkqCJhRvl63ivjES9G5itilXEFcyMoowKiYWIc4l1j/92p8cEz6/TxFIdSMDYyqvrB21hTxogbwo8orlc2CuxrF6zX3oiLUaCZyiYgUVBcaqgSACYs2Vaniz7x+Oqw+rO061ik+r/XmRmcta9QB/DnNZEERkd4W/zULvvKzF9Q51n54g4FKAISTTMUaYhGRpgC8Sx3tG5EfXP9tmRgeN5bzqs9fJ+v/4nJj+QAEBk/KAQB+17Qz/JsF1SuIFdPQAPxJxQbd+o6Wl48ZqiS8aFYQi4g4aRYEjCteUaKKbz8UXauIO2h6BkJayeqFEp8cbzn+XO+IdCob6kKZtlnQWUOjDRBKVty8Wp3j+R9uN1BJYGjP54JqzjAAfy63PE8Vr5l4eiEz0zOy76E9qhyLNlXLvNJcQxUBCBcZyu1i9c+87tfp0+4pt9x/y/dUW9TebtlNq+SWb9xhLB+AwKFZEADgd6cPnpKxwdFgl6HSdkDZLMhkQcCIsnUVqhVsbQdOyvTEtMGKwoO6yUYxAQ3A+RWvLFXFtx9qM1NImNCsIBZhog3gb444h1Rs1H3U0fRc5K4i1jba8OEGEFpqr1kumfOzVTle+80+Ge60PjU5kGh4BuAP2smCPX5a11n31GEZ69e9y1h310ZD1QAIJ/lVhap3F4NnB9Qbgt6Jz+eTBz/2n0aHKcxfUSIfffBescfQcgSEI/7NBQDMiuZiz+f1ybFdjQarCSyfzydt2smCF5UZqgaIbsmZKaqGD4/bo27+DUf6yYK83AFMK15Zooo/czi6JguyTh0IfZVX1Krijz0fuc2CHTTaABElxhEjmz55lSqHd8YjL/5kl6GK/ItmQQD+kJyVIkkZSZbj/TVZcO/PX1TFxyfHy4pb1xiqBkA4SUhJkPkrFqhy1D39uqFq3uqZ//sHefUXLxvLl+HMlHsf/4LEJycYywkgsGgWBADMiiPOoYpv3H7UUCWB19/WK6N95yzH51c6JTHd+oMPAG9Vvl65ivil6FpF7PV4pbOxw3J8ZlGWJGemGKwIgIhI4ZJi1ccYp19r9etqklDDhFQg9C2+okYVf/yFJvHMeAxVEzp8Pp9qsmByVoqk5aUbrAiACZd+dJM44mNVOV788XMyMz1jqCL/0TQLOuIc6lWjACKTzWZTTRfsa+01fu040j0sdU8dVuVY+d6LJSGF5hkgWtVes1wVX/+M+WbBg4+8Kn/46iPG8sUlxcu9j39BMpVrlwEEF82CAIBZccTrmgWbdtYZqiTwWpVTBUsvLjdUCQARkfL1i1XxJ15uNlRJeOhp6ZKZKbfleBpsAP+IS4yTgupCy/HnekZkuHPIYEWhy+fzqSYLJmelSFp+hsGKAJxP0bJiSc6y/oHB5MiEtL8WeVNTR7qHZWzA+io7Z22RapUVAP9IzUmT1bevVeUY6RqSw787YKgi/5gen5K+Uz2W4/MWF0hMrO6ZIoDIlVNuvVnQO+ORgdN9BqsR2f/QHvF6vKoc6+66zFA1AMKRtlnw5J7jMj40ZqgakdZ9LfLA3fcby2ez2eSjD/6VFK8sNZYTQHDQLAgAmJWYOIfY7NZfUPS19kpPi39WA/ibegXx6oWGKgEgIlKxQdcseOqVE+oHf+FEvYK4hmZBwF+0D9ZOHzxlqJLQNuQalPGhccvxNNoAgWG322Xx5dWqHE3P1RuqJnRo16g7q1nfCYSqTfduUed4/r5tBirxn86mDtU0a1YQA7iQXEWzoIgYfd/g8/nklQdeUOWYV5oj5crnlgDCW+nF5aqP6LwerzTtMDN8pf90r/zoPf8m7knrgwTe7uZv3C7L37PaWD4AwUOzIABgVux2uyy4qEyVY/u3nzRUTWC17m9RxZesoVkQMCmzKFuyS3Isx0+em5CzR9sNVhTatM2CTBYE/Kd4RYkqvjkCm2rOh6ZnIHxUKlcRH3u+wVAloUOzvlNEpIBGGyBklVxUJqWX6LZJnNxzXNoPt5kpyA+0ZxjXYQAuRLumvOeEuWbBM6+fVt97XvLhjWK38+odiGb2GLtUb12qylFnYBXxxMi4/PDG78hI97A61x9d+pFNsuUL1xvLByC4uGIBAMxa1eYlqviX/+t5aQuzCTge94y0H2qzHO+Ic0jR0mJzBQEQEf0q4paXomcVcYdymg3NgoD/FK8sUcU3bDtqppAQp53KxTkGBM5iZbPgyT3HxT05baia0KBvtKFZEAhllxuYLrj7h9sNVOIfroYOVbyzptBQJQAiUW6FdrJgt6FKRPYqpwqKiKz98AYDlQAId9pVxA3PHBGv1/pmJK/HK/91533qBug3W3x5tdz5o4+wuQOIIDQLAgBmrfoqXbOgz+eThz/1M9VFbqC5Gs6Ke8L6y6r5K0rEEecwWBEAEX2z4ImXo6dZUNNkY4+xS36l02A1AN6saNkC1UO27uOd0nvK3MuRUKVttCmspdEGCJS8RQWSUZhlOd496ZZTe08YrCj4Ohu1jTacYUAoW3nbxZKam6bKsf+hPTLaf85QRWa5GnQvmZmOCuBC1JMFDa0hnpmekX0P7VHlWLSpWuaV5hqpB0B4q9m6VPW8b6R7WM4oJk//5vMPSv3T+umEf5S3qEA+/pvP8K4TiDA0CwIAZq1sbYXEJ8ercrTtPymv/FT/lV6gtO4/qYovWc0KYsAfKjZUquJbXj4uPp/PUDWha3p8SnoVX1nnVuRLbEKcwYoAvFlCaqI4lY1sjVEwXVA7IZWX1EDg2Gw2qbyiWpWj6bnIWUXs8/lUZ1hqbpqk5uiakAD4V2x8rGz82JWqHO5Jt+z56W4zBRnWqfhoIzYhVnLKdI1AACJbcnaqJKYnWY7XPPN6s6NPHpKx/lFVjnV3bTRSC4Dwl5qTJiVrdO8GrTb7vXD/Dtn1/WdVv/1myVkpcu8TX5DkrBRjOQGEBpoFAQCz5ohzyKJNuhc/IiKPfflhGRvQ3XwHSpu2WVB5QwDg/PIrnZKcbf0GdaRrSHpPRsE0rsYOVVMkqzsB/6vZukwV37A9spsFvR6v6iV1ZlGWJGfyQBMIpMoralXxx56PnGbBoY4BmRyZsBzPVEEgPGz4+JVij9G9annh/p3i9YTWJo7JcxPSf7rPcnx+VaH6/xcAkc1ms6lWEfee6hHPjEddx96fv6iKj09JkJW3rVHXASByaFcR1z0z92bBhm1H5Ff/5+eq332zmNgY+cSjn5W8igJjOQGEDu7UAABzctH7LlHnGOsflT985RED1fhf2wFds2ApzYKAX9hsNv0q4pcifxVxR127Kr6wlmZBwN9qrtY1CzY/1yAz0zOGqgk9vae6xT3pthzv5BwDAm7xFTWq+Lb9J2ViZNxQNcGlXaNeUE2zIBAOMguzZMUtq1U5+tt6pe7pw4YqMoM16gACQbOK2DvjkYF2603NIm+s+9Su61x128USn5ygygEgstReq2sWbNt3Ukb7Rmb9910NZ+Un7/++0Y9PPvjjv5BFl1UZywcgtNAsCACYk1Xvu0RSc/VrkF788XNy+rVTBiryn8nRSdXLnaSMJMlRPOwAcGEV63WriJt3Rc7UmnfSUadb3clkQcD/Fl66SOKT4y3HT41OyslXjhusKLS46nWNNrykBgIva362akKM1+OVlpeOGawoeLTNgny4AYSPTfduUed4/r7tBioxR3uGOWl4BjALueXWrxtF9KuI9/3yZXVzzdq7WUEMVMz8dwAAIABJREFU4K2KV5ao3qX6fD5p2Da7bSIjPcNy3w3fVk21f7urv3ijrLv7MmP5AIQemgUBAHMSGx8r1/79zeo8Pp9PHv7UA+L1htaKlTdrP9QqPq/19Z0LVi8Uu53/1AL+Ur5BN1mw/unXjawqCWXqF9RLig1VAuCdxMbHyqLLq1U5Gp49Yqia0EPTMxCeKi/XTRdseq7eUCXBpW94LjRUCQB/q9hQKUVLdfdPTTvqpKtZN83PJHWzYC3NggDenfZj++4TXZZjfT6fvPKAbgXxvLJc9fYTAJHHbrerVxHXz2IVsXtyWu6/+bvS39ar+q03W3nrGrnpX99nLB+A0EQHAwBgzi775Gb1A1ARkdZ9LbJXeTPuT237dSuIS1azghjwp+IVJRKXZH0a1/jgmJzcE7nTuER0TTZxSfGSXZpjsBoA76Rmq24V8Wy/NA5HrgZlsyBTuYCgqLxS1yx47PlGQ5UEl6tRuYaY6ahA2LDZbEamC+7+0U4D1ZihvQ5jwjOA2dBMpBbRTRY8c7hNXPW6s27thzcyMADAeWmbBRuePXrByac+n09+/tGfyKm9J1S/82YLLiqTe37+Sc41IArwbzkAYM5iHDFyx313G8n12JcelrHBUSO5TGs7oGsWLF1DsyDgTzGxDim9pFyV48jjrxmqJvSM9o3ISNeQ5XhnTSEPBYAAqb1a1yx49shpGe4cNFRNaNFM5bLZbZJfxVQuIBgWbdJNTD175LSc6x0xVE1w+Hw+6Wy0PiEsvSBDkjNTDFYEwN/W3LlOkjKSVDn2/vxFmTxnboWchqvB+hkWlxQvWQvmGawGQKTSriHuabE+WVA7VVBE5JIPb1DnABCZqq6qFXuM9efrYwOj0rq/5R3//Ml/ekwOPPyK5fxvl1mUJff+4fOqAQ0Awgdv/wAAlpSvr5RLPrRenWe075w8/tXfGKjIPP1kwTJDlQB4J9oVd0cef018PuvrxkOZenVnLSuIgUDJWZgnucrVS43b6wxVEzrcU27pPt5pOT63PF/iEuMMVgRgtlJz0iSvukCV4/ju8J4uONDeJ1Ojk5bjnUxGBcJOfHKCrLtnkyrH5LkJ2fs/L5kpSGF8aEyGOgYsx/PxGYDZSpmXKonp1hutrTYLuqfcsv+hPZZ/V0Rk8eXVMq+ErRwAzi85M0XK1i1S5Wh45sh5/3nTzjp58uuPqnK/WXxyvNz7+BckvSDTWE4AoY27NQCAZbd8805JSEtU53nhP3bKmdfb9AUZNNI9LP2n+yzHZ87P5qIaCIBlN65Uxfee7JauZpehakJLh2Ial4iIcwkvqIFAqlavIj7/w8Nw1tXsuuC6lXfjrGX1HRBMJWt1k9abn2swVElwaCajiog4qznDgHC06a+uEpvNpsqx+4fbg/5Rm6uBNeoAAsNms0mO4uO5vlM94pnxzDmu7qnDMjag23i09q6NqngAkW+JchVx3TOv/9k/m56Ylv/5i/9U5X0zm80mH33oUzJ/eYmxnABCH82CAADL0vMz5IZ/vE2dx+f1ycOfekC8Xusvg01jBTEQHpy18yVb+QVvpK4i7qhrV8UX0mQDBJR2FXHj9jpVY10octXrJqQ6a2h6BoKp5NJyVXzz82HeLKhstHHSaAOEpZyFeVJ7re6lcFezS5p3BfcMVJ9hNDwDmIO8CuuriD1ujwye6Z9z3CsPvGD5N0VE4lMSZOWta1Q5AEQ+7XVh+2utMtw19JZ/tuvfn5WBduvDTt7u1m/fKctuWGUsH4DwQLMgAEDl8k9tMbIe6eQrx2XfL142UJEZ+hXENAsCgWCz2WTZDbrpgkefOGSomtDSoWyyKVzCGmIgkBZtqhJHnMNy/NjAqJw+eMpgRcGnXqfOhFQgqIrXlIpXrE/G6jnRJQMWXvyGClejdipXoaFKAATapnu3qHPs/uF2A5VY16ltFmSVOoA5yFlofbKgyBvXjXMx3DX0jqs9Z2vVbRdLfHKCKgeAyFe4ZL5kFGapcjQ8+6fz6lzviDzzjT9oy/pfG/7yCtn82WuN5QMQPmgWBACoxDhi5I777jaS69EvPiTjQ2NGcmm1KicLljBZEAiYpTfqvno7tfeEjPQMG6omNHi9XtXqu9ScNEnLSzdYEYB3E5+cIOUbFqty1D8bWauItRNtmJAKBFd8aoIMxY6ochwL8mQtDf10VM4wIFxVb1kiuYopWSJvTMDvP91rqKK50zY8c4YBmAvtmdnT0j2nv7//l3vUk/nX3s0KYgDvzmazSe01um0i9W9aRfzkPz0mkyMT2rJERKRqc63ccd/dYrPZjOQDEF5oFgQAqC3aWCVr7lynznOuZ0Se+NpvDVSk4/P5VJMFbTabLFhVarAiABeyaGOlJKYnWY73+XxS99RhgxUF38DpPpkanbQc72QaFxAUNVt1Dw8btkVYs6Ci0cYRHys55boXTgD0+uOH3v0vXUDzrnpDlQSW1+uVziaX5fjM+dmSmGb9+hZAcNntdtn0V1epcvi8Pnnh/p2GKpo7zcdnCWmJklmkm6ADILrkKu/d5jJZ0Ov1yp6f7Vb93ryyXKnYUKnKASB6LFGuIm7cXice94x0HXPJiz9+zkhN+ZVO+dgjn5aYWOtbTgCEN5oFAQBG3PqtD0h8in7s/vM/3C5nj7YbqMi6npYuGR+0PuGwoKZIElITDVYE4EJiYh3qr/MibRWxegUxK6OAoKi5WneWte0/KWMDo4aqCa6JkXHpP91nOb6gyikxjhiDFQGwoi9O2yzYKD6f9VXGwdLf2ivuiWnL8UzkAsLf2rs2SnxyvCrHy//9vEwrzhKrRvvPyUi39en7zpoiJtQAmBP1ZMGTs28WPPrEIels7FD93rq7NnLOAZi1yitrJSbW+jOqieFxObn3hPzuy78S74xHXU9ydop86om/kaSMZHUuAOGLZkEAgBEZzky54Wu3qvP4vD55+FM/C+oLIc1UQRGR0tWsIAYCbekNulXEjdvrxD0Z+Jcw/tJRR7MgEI6cNUWSUWh9CovP65OmneE5hevttCuInZxjQEgYjBsWR7z1SQVDHQPSfbzTYEWBoT7DqmkWBMJdUkayXPzB9aocY/2jcvDXew1VNHucYQACLWVeqiSkWf/4fraTBX0+nzz1z49Z/p0/uuTDG9Q5AESPhNREqdiom0b6xNd+K6///qC6FkecQ/7qd5+TnIV56lwAwhvNggAAY674P1uloLpQnafl5WOy75d7DFRkjbZZsGQNzYJAoNVcvVTsiglS0+NT0ryrwWBFwaVZ3SkiUsgaYiAobDab1GxdqsrR8GxkrCLWrL4TYSoXECq8Np8UXVSiynEsDK/RtFOenbWcYUAk2HTvFnWO53+43UAlc6O9DivgOgzAHNlsNtV0wb5TPeL1eN/179U//bq0H2qz/DsiIouvqJHsBTmqHACiT+01ulXEx19oMlLHh/7rY1K+njXqAGgWBAAYFBPrkDvuu8dIrkf/5pcyMTxuJNdctR6gWRAIN8mZKVKxYbEqx9HHI2cVsXayIC93gOBRNwtuOxKWKzvfTj0hlaZnIGSUrNPdH4XjBx2djTQ8A3hjYvviy6tVOdpfa5WuYy5DFc2OerIgZxgAC3LLrU+58rg9MtDed8G/4/P55EkDUwXX3bVRnQNA9Flyra5Z0ITNn71WLlFOvgYQOWgWBAAYtXhTtay+fa06z0j3sDz7jccNVDQ3M9MzcubwacvxsQmxUsgUCCAotKuIjz55SLzed/8KOdTNTM9I1zHr6/rmleVKQkqCwYoAzEXl5lqx2W2W44c7h9SNdqHA1cA6dSBSlF5aroo/9nxj2F2juRo6VPH5VfqJ/QBCg4npgoGeHK1teOa5GAArcsutTxYUEelp6b7gnzduP6reKBSfkiArblmtygEgOuUtdsq80uBNJU3NTZMb/vHWoP0+gNBDsyAAwLhbv/0BiTfQaLL7/h0yMRLY6YIdde0yM+W2HF+8slRiYh0GKwIwW8tuWKmKH3INqleRhILuYy7xzngsx9NgAwRXcmaKlF1SocoRCauINevvElITJXN+tsFqAGgULCmUhLREy/FjA6Ny9ki7wYr8yzPjka5m61PAskty+HADiCDLblwlmUVZqhxNO+sNVfPufD6fapV6UmaypOVnGKwIQLTQNgsefmz/O/6Zz+eTJ/9JP1Vw9fvXSnwy12kA5s5ms6lXEWvc8I+3SUKq9ftyAJGHZkEAgHGZhVly3VdvVueZHJmQ13930EBFs6f9urBkNSuIgWDJWZinXnd09PHXDFUTPNqJYk6aBYGgU68i3n7UUCXBMdIzLOd6RyzHO2uLxGazPp0RgFl2R4wsuqxKleNYGK0i7j3ZrfoAzclELiCixDhiZOMnNqtyHN/dKDPTM4YqurBzPSMy1j9qOd5Zw3UYAGtyK3TNgi/9ZJe07m85758172qQU3tPqPLbbDa58rPXqHIAiG61QVpFnF/plPV/cXlQfhtA6KJZEADgF1d++hrJr3Sq8+x/eI+Bamav9YCyWXANzYJAMC1VThc88sQhQ5UEj7ZZsHAJzYJAsNVcvUwV3/JSs0yOThqqJvDU5xhNz0DIWXx5jSq+eVfgpmppuRp06zud1TQLApFmw19eIY4461sopsam1E0us6U+w5Qf8AGIXjnleap4n88nv/zkT8Vznm0bT/2zfqrgyvdezHUaAJXFm6olNiE24L97yzfvkBhHTMB/F0Boo1kQAOAXjjiH3P6Du9V5mnbWy0j3sL6gWdJOFiylWRAIqmU3rlLFnz1yWvpP9xqqJjg0K6NEaBYEQkHxqlJJmZdqOd7j9six58NnCtfbuZTnGBNSgdBTdaWuWfDEi83icQdmqpZWJ402AN4mNSdNaq9bocrRuKPOUDUXpr4O4wwDYFFqTpokpOlWZJ453CYv/GjHW/7Z8Rea5MSLzaq8IiLX/f171DkARLe4pHhZfHl1QH9z0aZqWXq9bsACgMhEsyAAwG+qrqyVVe+9WJXD5/XJwUdeNVTRhU2MjEtXk8tyfHJWiswryzVYEYC5KlmzUFJz01Q5job5dEHNyx1HnEPylGtfAOjZ7XapumqJKkfDs+G7ithVr2u0KWSFJxByCmqKJDXH+jXa1NiUtCo/7AoUV6OyWZCGZyAiVSuv7Zp2BObajsmCAILFZrPJglWl6jx/+OpvZMg1+L//+0kDUwVX3LJaCpcUq/MAQO01gV1FfNu37xSbzRbQ3wQQHmgWBAD41W3f+aDEJcWrcgRqFXH7a63i8/ksx5esWchFNxBkdrtd/aVcOK8inhgZl/7TfZbj8yudEhNrfT0WAHNqti5VxTc8+7rquiaYtBNSabQBQo/dbpfFV+gmKBzbFR4TUzUNzza7TfIrnQarARAqqrfomgVPH2yVsYFRQ9W8MxqeAQRT9RbdfbCIyOS5CXnkc78QEZGWPceMXENe95Wb1TkAQESk9trANQte/MH1smBVWcB+D0B4oVkQAOBXWfOz5eov3ajK0fpqi/Se6jZU0QV+RzmpomQ1K4iBUKBdRXx8d6NMjIwbqiawtNO4nKwgBkKG9iVJX2uv9LR0GaomcLxer2qiTVpeump6GQD/WXy5bhVxcxg0C3rcM9J9vNNyfE5ZrsQlxhmsCECoyCnLU22j8Pl8fj8HfT6f6p4yNSeN6zAAKhv+8gpJSNWtIhYRee2RV6Vh2xF56l9+p8617MZVMn95iToPAIi8cU2Yt7jA77/jiI+V9/zL+/z+OwDCF82CAAC/W//RTWKz6ybuHXh4r6Fq3lnbAV2zYOkamgWBUFC1uVZiE2Itx3vcHmncFp7rOzvqdNO4CpkCAYSM9PwMya/RTZcKx7NsoL1fpkYnLcc7WUEMhKyqK2tV8af2npDp8SlD1fhH94ku8bg9luMLWN8JRLTqzbrpgo3b/XttN+QalIlh6x/OcYYB0ErOSpFrv/IeI7l+dtf9Ru6Jr2WqIADDArGKePNnrpGs4nl+/x0A4YtmQQCA36UXZErlFbopEvsf2uP3VXptysmCC1YzzhsIBXFJ8VJ1le4lTLiuIu6oa1fFFzJZEAgpZZsWq+IbwrBZUH2O1RYbqgSAafPKclUvK2amZ6Rlz3GDFZmnnvJcw7UYEMmqlKuIm3bW+/XZWKdiurOIiLO60FAlAKLZ5s9cY2Sl+bmeEXWO2muXS8lFPPMHYNYSP68iTpmXqt74BiDy0SwIAAiI1XesU8V3NnXI2aO6l8cXMuQalMGzA5bjs0tyJC033WBFADSW3aBbRVz31GHxzFifChMsmtWdIkwWBELNwssWqeKPPd8o7slpQ9UEhrrRhsmCQMiy2Wzqj8he+82rhqrxD+21mJOpXEBEq7yiRrV5o7+tV3pPdhus6K066nWT6k009wBATKxDPvCje4JdhoiIXMdUQQB+UL6hUuKT4/2W//p/uEUS05P8lh9AZKBZEAAQECtvWSOOeOtrQUVEDjz8iqFq/px2BXEJK4iBkLLk+hWq+PHBMTkZ4pNr3s7n86nWECemJ0nm/GyDFQHQKlq5QNy2Gcvx0+NT0vLyMYMV+Z+rgXXqQCRbrGwWfOVnL4irUdeQ50+dytpoFgQiW1JGsvr5UeP2OkPV/LnOhg5VPGcYAFPK11fKpfdsCmoN1VuWSNklFUGtAUBkio2Plcora/2SO7ciXzZ+/Eq/5AYQWWgWBAAERGJ6kiy5Tjda+8Cv9orX6zVU0VtpVxCXrqZZEAgl6fkZUrhC1zBy5PHXDFUTGMOdQzI2MGo53llbJDab9SkXAMyLiY2R/rghVY6GZ8NrFbGm6VlEpICX1EBI004W9Hq88tsv/NJQNeZpJgvaY+ySt7jAYDUAQlH1Zu0qYv81C2qbsWkWBGDSLd+8XZKzU4L2+9d99Zag/TaAyFd7jX9WEd/6zTskJtbhl9wAIgvNggCAgFlzx6Wq+IH2Pjn1in8mfbXub1HFM1kQCD0Vm6tV8Ucef018Pp+havyvo063qp1pXEBo6okfUMU3bDtiqBL/87hnpKvZZTl+XmmOJKQkGKwIgGkZzkzJr3SqcjQ8e0Tqnw29s8095ZaeE12W43Mr8iVWOY0fQOirukrXLNi8q0E8Mx5D1fyJz+dTNTynF2RIclbwmnoARJ6UeWly6zfvDMpvL76iRsovXRyU3wYQHWqvWWY8Z/mGSll200XG8wKITDQLAgACpvba5ZKQlqjKsf8h86uIvV6vtB04ZTneHmOX4pUl5goCYMSiq3TNgr0nu1VNK4GmncZVuKTYUCUATOpVNgu6Gs7K4Nl+Q9X4V/eJLvG4rb/8dtL0DIQF7XRBEZHffuFBvzTLaHQf6xSvx/okfCZyAdGh7JJyiVd83DA5MqHejnE+A+19MjU6aTmeMwyAP6y9e6OUrw980971TBUE4GdZxfOMP8e67dt3sjkIwKzRLAgACJi4xDhZcctqVY6Dv3lVPO4ZQxW9oed4p0yOTFiOd9bOl/hkptgAoSZnUZ6MxVj/d1skvFYRa6ZAiLyxhhhA6JlwTEn2whxVjoZt4bGKWN30TLMgEBaW3rBSnaOzsUNe+skuA9WYo70WK6jmWgyIBjGxDll8ue7DtsYd5lcRc4YBCEV2u13u/NFHxO6ICdhvVmyslEWXVQXs9wBEL5OriFffsU5K15Qbywcg8tEsCAAIqDW3r1PFj/WPGn8o2qr8IrtkdZmhSgCYZLPZpDteN03r6BOHDFXjf+o1xEtosgFC1cJNukkK4bKK2FWvaxZksiAQHqquWiLZJbomaBGRx7/2GxkfGjNQkRnqDzeYygVEjarNulXETTtDr1mQjzYA+Eth7XzZ/NlrA/Z71zFVEECALLnWTLOgI84h7/nX9xvJBSB60CwIAAioxVfUSGpumirH/ofNriLWrm/hax0gdHUn6JoFT+09ISM9w4aq8R+vxyudjR2W4zMKsyQ5M8VgRQBMWrhxkSq+aUd9yK3rPB/9S2oabYBwYLfbZevfXK/OM9Y/Kk//y+8NVGSGq0Hb8MwZBkSL6i26ZsHWV1tkYnjcUDVvUE8WrCk0VAkA/Lnr/+FmySqe5/ffWbhukVReUeP33wEAEZGF6yokIS1Rnefyv94q8wx8kAcgutAsCAAIqBhHjFz0vrWqHEd+f1CmxiYNVSTSdkA5WXDNQkOVADBtIG5Y4tOsrwn3+XxS99RhgxX5R09Ll7gn3ZbjmSoIhLbiS8okNiHWcvzE8Li07msxWJF/aNYQ2x0xkrfYabAaAP60/i+vkIJqfWPJrh88Kz0tXQYq0utUNNrExMZIXkW+wWoAhLK8RQWSOT/bcrzX45VjuxsNVmRgOipriAH4UXxygtz+/bv8/jvXffVmsdlsfv8dABARiYl1qD8iSc5KkWv+7iZDFQGIJjQLAgACbs2dulXEU2NTxlaDuqfccub105bj45LijbzkAuAfPptPvb7z6JOh3yzoqmftHRDJYhNipeKyKlWOhmdDexXx1Nik9J3qsRyfv7hAHHEOgxUB8KcYR4zc9p0PqvN43B559IsPG6hIZ3piWnpPWj/D8hYVSEwsZxgQLWw2m1RrVxHvMLeK2OvVTarPLMqSxPQkY/UAwPksu3GVLLtxld/yl6xZKNVblvotPwCcT+01ulXE1331ZjYGAbCEZkEAQMCVXlwu80p1I7FNrSI+e+S0eNzW1/IVryqVGEeMkVoA+MeizdWq+MZtR8U9OW2oGv/oqGtXxTNZEAh9NVuXqeIbth01VIl/dDa5xOfzWY5nfScQfmqvXiY1V+vONhGR1393wPiErbnqatadYQV8uAFEnSrlFJlGg82C/a294p6wfs/rrOV+EkBgvP/fPyxxSfF+yX39V29hqiCAgFt24yqJT7Z2ruUszJPLPnmV4YoARAuaBQEAAWez2WT1HZeqctQ/c0RG+8+pa2nbr1tBXLqaFcRAqFu4aZHYFU290+NT0ryrwWBF5nXUW1/dKSJSuKTYUCUA/KX2at2Eg/bXWuVc74ihasxzac+xWs4xIBzd9p0PiD1G/3jyN59/ULwer4GKrFGfYTQLAlGn6soaVVNKz4ku6T/da6QWVhADCBfZC3Lk+n+4xXje4pUlUnutbroXAFiRkp0qGz++2VLsLd+4gy0bACyjWRAAEBTaVcTeGY8cenS/uo62A7pmwZI1NAsCoS4xPUkqNlaqchx93Mzqc3/pqLP+gtoeY5eCKqfBagD4Q95ip2QvmGc53ufzGV1XZ5rmHBNhsiAQrpzVRbLhY1eq85w53CZ7/+dFAxVZo220YbIgEH1S5qXJ/BULVDmadtQbqUV/hhUaqQMAZmPzZ68Rp+Frp+uYKgggiK76/LWSmpM2p5j1f3G5rLx1jZ8qAhANaBYEAASFs7pIipbpHooeMLCKuFU5WZBmQSA8LLthpSr+6JOHxOsN3rSaC5ken5Lelm7L8bkV+RKbEGewIgD+YLPZpHqLbrrg0acOG6rGPFeDdrIg6++AcHXj12+VxPQkdZ7f//0jMjk6aaCiuXM1Kqdy0SwIRKXqq3TXdo07jhqpg+swAOEkJtYhH7j/I8byFS1bIMtuXGUsHwDMVXpBpnxu11dm3TC4cN0iuf0Hd/u3KAARj2ZBAEDQrLlDN13wxIvNMni233L8+NCYdB/rtByfmpOmmvADIHCWKpsFh1yD0n6ozUwxhnU2dYjP57MczzQuIHzUXL1MFf/aI6+q15b7i6veeqNNXFK8ZJfmGKwGQCClzEuT675yszrPSNeQbPvm4wYqmjvNGeaIc0jOwjyD1QAIF1VXLVHFNz/XYGQFu6uhQxWfX8VkQQCBVb6+Ui69Z5ORXNd95WamCgIIOmdNkXx+91eleus7f0ziiI+VG79+m3z2ub+X2PjYAFYHIBLRLAgACJrVt69Vxft8Pjn461ctx58+eEr1+yVrFvIgAQgTOWV54lROOzj6+GuGqjFLu7qzsLbYUCUA/K3yihqxO2Isx3s9Xvn1p3+uajD2h7GBURlyDVqOd9YUit3O4w0gnG361BYjDXM7/u0pGWjvM1DR7E2OTkp/W6/l+PyqQolRnO0AwtfCSxdJbKL1Ke9jA6PSfrhNVYNnxiNdzS7L8dklOZKQkqCqAQCsuOWbt0tyVooqh7OmSJbffJGhigBAp6CqUD79zJfky/v/Ra78zDWy8tY1Ura2QtbcuU5u/8Hd8vXGb8t1X72FRkEARvA0HQAQNFnF86R8Q6Uqx/6H91iObdxRr/rtktWsIAbCiXYV8aHH9ofkKmJ1s+ASVkYB4SIxPUkWrqtQ5Tj2fKMcenS/oYrM0E47dNZwjgHhLjY+Vm791p3qPO5Jt/zu735loKLZ62rSTeRy1jCRC4hWsfGxsuiyKlWOxu26VcS9J7tlZsptOZ5J9QCCJWVemvr68dqv3MyHZwBCTslFZfK+735IPv6bz8gX93xdPvrgp+Tye7fIvNLcYJcGIIJwBQQACCrtKuL2Q23S1Tz3lzNDrkHZ/cPtqt8uWUOzIBBOlt24ShXf2dghu76/zVA15mibbGgWBMJLzVbdKmIRkd9+4ZcyPT5loBozNOs7RXhJDUSK5e+5SN00IyKy/6FXpHVfi4GKZsfVoDvDCqo5w4BoVrW5VhXftFP3Iaz2DHNyhgEIorV3b5SFly6yFJu3uEBW3Xax4YoAAADCA82CAICgWnXbGtU6PRGR/Q/vnXPME1/7rfolecnqMlU8gMBasLpM0vLSVTl+/3e/kq5j1lc0+YNmsmBsYpzMK+OLRCCc1FytbxYcaO+TZ7/xuIFqzOioa1fFFy5hnToQCWw2m7z3ux8Sm82mzvXI534RsJXr6obnGhptgGhWvWWpKv7knmMyNTZpOb5T2yzIGQYgiOx2u3zg/o+Kw8JKzjvuu0fsMbwmBwAA0YmrIABAUKXMS5PqLUtUOQ48vGdOL4I66s/Inp/tVv1mzsI8SclOVeUAEFh2u12WXq9bReyedMsD9/wMeQJ0AAAgAElEQVSHeD2hsY54tG9ERrqGLMc7a4pYtwKEmfnLFxh5Kbvt209KX2uPgYr0tBNtCpksCESM4hUlsu7uy9R5Tu09IQd/PfePyqxwNWrPMKY8A9HMWVMk6QUZluM9bo8cf6HJcnzbwVOWY0VoFgQQfIW18+XuBz4xp5grP32NVF2pm+wKAAAQzngzCAAIOu0q4p6Wbjk9h4ebj33xIfF5dVMmWEEMhKelN+qaBUVEWl9tkR3ffcpANXodykk2vJwGwo/NZpPLP7VVnWdmyi2/+fyDBirS8fl84lKsU0/OSpG0fOsv2AGEnpv+5b0SnxyvzvPYl34l0xPTBiq6ME3Dc2xinGSX5hisBkC4sdls+lXEO6ytIu4+3il1Tx62/Ls2m03yqwotxwOAKavfv1buuO8eiU149wmD13z5JrntOx8IQFUAAAChi2ZBAEDQLbvpIolNjFPl2P/QK7P6e00766T+mSOq3xIRWXnLGnUOAIFXdWWt+rwREXn8H36rniJjgmYFsYhI4RKaBYFwtO6eyyRvcYE6z+u/PyiN248aqMi6oY4BGR8atxxfuGS+kZWlAEJHekGmXP2lm9R5Btr7ZOf3njZQ0TubGBmXwTP9luMLqpxMeQYgVVfpVhE37ayzFLftW0+oVrbnLMyVOAP31wBgwqa/ukq+VvctWX7z6j979mez26T2mmXy6We/JO/51/ezfhgAAEQ9roYAAEGXkJIgy29apcpx4Nd733UtqNfrlUf/9iHV74iIJGUmy5LrV6jzAAi8uKR49Xkj8sZErgfu/g/xzHgMVGVdR127Kp5mQSA8OeIccvu/32Uk168+/XOZmZ4xkssK7YRUVt8BkWnz566VrOJ56jzbvvWEjA2OGqjo/LRr1J1MeQYgop4s6Go4K4MdA3OKGTjTL6/+4iXV7xZwHQYgxOQszJNPPvpZ+d7Af8rnd39V/vqpv5UvvPAP8s2zP5S/fuqLUr1F15wNAAAQKWgWBACEhNXKVcQjXUNybHfjBf/OvgdfljOvn1b9jojI5s9eK7Hx777SAEBo2vq3NxjJc/rgKdn2rSeM5LKKF9RA9KreslSWv+cidZ7uY53y/A+2GajIGs0KYhHOMSBSxSXGyc3/73Z1nsmRCXnpJ7sMVHR+HUeVZ1g1jTYARNLzM9QfcjXvnNsq4h3/9pR43LqP38ourlDFA4C/xMbHyqKNVVJ7zXKp2FAp6fkZwS4JAAAgpNAsCAAICTVbl0lSZrIqx4ELrCKenpiWP3zlEVV+EZEMZ6Zc9blr1XkABM/85SWy8lYzq8Sf/Pqj6ul+Vk2NTcrZI9Z/O2VeqqTlpRusCECgvfffPigOAx8wPPlPj8lw56CBiuauQ9ksyIRUIHKtvn2tlF5Srs7z/A+2+W2C6v6H96jimY4K4I+qlauIG+ewivhc74i89J/6RurlN+s/XAEAAAAABB7NggCAkOCIc8iq2y5W5Tj02H5xT06f98+e+/+ekcGzc1vJcj43/vN7JS4pXp0HQHDdcd89kpydos7jcXvkZ3f/h3jcgV/heeQPr8n0+JTl+MIl88VmsxmsCECgzSvNla1/c706z+S5Cfnd3/3aQEVzp54sSKMNELFsNpu877sfUucZcg3KgV+984dlVnXUn5ETLzarcrDCE8AfVV2lW0XctKNOvF7vrP7uc//+rLgnzv/8bLYWXFQm+YudqhwAAAAAgOCgWRAAEDLW3HmpKn5ieFwe+ewvxOt568PRc70j8uw3HlflFhEpWlosaz+8UZ0HQPCl5aXLHffdYyTXmcNt8vT//YORXHOx7yHdJJtCVncCEeHqL90oWcXz1Hn2/vxFObn3uIGKZs/r8UpnY4fl+MyiLEnK0E2mBhDayi6pkNV3rFPn2fndp8Xn8xmo6E9euH+nKj4+JUGyirMNVQMg3FVsqBRHnMNy/LmeEemoe/ePMCaGx2X3D7db/p0/uubLN6lzAAAAAACCg2ZBAEDIKN+wWDIKs1Q5Xvzxc/LfH7zvLWumnvynx2Ty3IS2PLn1W3eKPYb/dAKRYvX718qq9+ommv7R0//6e2k/3GYk12yM9AxL47ajqhyFS4sNVQMgmOKS4uW273zASK5f/Z+f/9lHF/7U1ewS96TbcjwriIHocMv/u11iE3Qr188ebZemnfWGKnpjIuurv3hJlWPBRWVit3N/CeANcUnxUr5hsSpH0453X0X8wv07ZWJ4XPU7BVWFsuymVaocAAAAAIDg4YkUACBk2O12WX37WnWeg79+Ve674dsyOTop3cc75cUfP6fOWb1liVRvWarOAyC03HHfPZKak6bO453xyAN33y/uKetNL3Nx8Nevqht6Fm+qNlQNgGBbeesaWXy5/t/p9tdaZc9Pd+sLmqV9D76sinfW0CwIRIOs4nmy+XPXqfPs+O5TBqp5w74HX5ap0UlVjtprlhmqBkCkqNq8RBXf+C7NgtPjU7Lze0+rfkPkjcnWNDsDAAAAQPjijg4AEFK0q4j/qGlHnXxv87/Krz/zP+Kd8ahy2Ww2ufVbZib2AAgtqTlpcuePPmIkV0fdGXnqn39nJNe72fdLXYNN0dJiyVmYZ6gaAMFms9nk9u/fbWQC8u///tcyNjhqoKoLm5mekT0/263K4awtMlMMgJB39RdvkKRM3drxxm1HpaOuXV2Lz+eT3coVxPYYu6wxsF4ZQGSpvkrXLNjyUrO4J6ff8c/3/HS3nOsdUf1GdkmOkQ99AQAAAADBQ7MgACCkzF++QPIrnUZyte0/KQ3PHlHnWXvXRiliXScQsVbeukZWG3pZu+2bj0vbgZNGcr2T7hOd0rZf9xtrPmCmMRtA6HDWFMmme7eo84z2nZMnvvaogYou7OgTh+Rcj+5ldeESrs+AaJGQmiiXfWKzOs8OAxO1Wl4+Jq76M6ocy25aJZlF2epaAESWouULJGVequV496RbWl4+dt4/m5mekW3fftJy7j/a+jfXS0ysQ50HAAAAABA8NAsCAEKKzWYLqQkLsYlxcuM/vzfYZQDws9u/f5ek5Weo83g9Xnng7v+44DQHrf2/3KOKD7VzFoA5N/zjrUZWq7/w/7N353FS1We++J/qjaabZt9BlMUFREEWWQQUhIj7gkSjRjSJ0eRqjE6cG5NMkpmbSXRiEq93ZkxuojE6JjrZ3DVBicRdUVCj4AKCbLIJiEDT0N2/P/ILN0232N2numvp9/v1yiueb9V5vg+m8qGq+6lzbp6blqtv7c8TP30s0fntOpRG38NdWRDakqmXfyKKSpINqDx/51OxZc3mRDXm3zw30fkREcd+YUbiGkD+KSgoiKHThyeq8fofG74V8fO/fCo2r9yUqHbHXp1i4sXHJqoBAABA5hkWBCDrpOsKX+kw4+qToku/rpluA2hhHbpVxAU//mxaaq1dvDrua6GrctXW1sZzCYcFD5k6zJVsIE+VdS6PM757TuI6NdU1cdeVt0dtbW0auqpv4zvrY/HcvySqMXTGEYmHhoDc0qlPlzj6vGRXR67eXR1/+vc/NPv8re9tiZd++3yiHnod2icOm3Z4ohpA/ho6PdmtiBc/Wn9YsKa6Jh65/r5EdSMipl99UhSXliSuAwAAQGYZFgQg6/Qc0jsOzYJfnlT07Bgn/OOpmW4DaCUjThsd4y+cnJZac3/wQCx95s201Pp77zz3dmxYui5RjXEJf8kOZLeJFx8bB40dlLjOm4+/Hi/++rk0dFTfk7c8nngQceJFU9LUDZBLpl99UuIaf/7xo1H5YWWzzn3qlsejend1ov2PvWx6pFKpRDWA/DV0RrJhwZWLVsQH67fWWVv4+xdi3RtrE9Ut61yWltvBAwAAkHmGBQHISqd+a1amW4hTv312lFa0z3QbQCs658YLo3PfLonr1NbUxi8u/klU7Uzv7Yif+68nE51f1K44Rs06Ok3dANmooKAgzr3porTU+s1X/iuqduxKS62/qd69J57++eOJanTu1zWGnzgyPQ0BOaXf8APi8JkjEtXYsWVHPP3z+U0+r3pPdfz5/ya7hXpJWbuYMMewM/DRuh7QLXof1jdRjTsu+Wns3LojIv56dfqHv3dv4r6mXjHTz8gAAADyhGFBALLSwZMPixOvPT1j+/c+rG9M+tzUjO0PZEZZ5/L49E8vSUutdW+ujbk3PJCWWhF/HbBZ8N/PJqox4rRR0b5TWZo6ArLVwHFDYkIarry3edX78dj/fiQNHf0/rz64MLau3ZKoxjGfOS4KiwrT0xCQc2ak4eqCj934UNRU1zTpnFcfXBibV25KtO/R502Mss7liWoA+W9YwqsLvnL/S/HdsV+P1a++G6/94ZVYuXB5onrtytvFtC+dkKgGAAAA2cOwIABZ67T/NTuO+cxxGdn7rOs+5ZfQ0EYNP3Fk2rLn4evui/cT/lL5b17/46vx4cZtiWqMO39SWnoBst9Z3/tUlHZMfvWXR66/Lz7c+EEaOvqrJ346L9H5qVQqJn32uPQ0A+Skw44fHv1HHJioxsZ3NsTC37/QpHMe/8+5ifaMiDjuizMS1wDyX9JbEUdErH97XXxv/DfjrituS1xr8uePjw7dKhLXAQAAIDsYFgQgaxUUFMSnf3pJfOKaU1t130OOHRpHnjqqVfcEssvsH14QXQ7olrjO7p1V8ftrf5WGjiKeuzPZLYjLu3ZIfNs+IHd07NUpTv3WrMR1Kj/YGQ99N/mt6yIiNq3YEK898kqiGofPPDK6Duieln6A3JRKpdJydcG5P3gwamtrG/XcdW+ujcVzX02036AJB8cBIw9KVANoGw45dmgUpOE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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax =plt.subplots()\n", - "ax.plot(count_18['count'], linewidth = 2.5, color = purple)\n", - "\n", - "plt.grid()\n", - "ax.set_facecolor('xkcd:white')\n", - "\n", - "plt.xlabel('Time of week', fontname = 'Libre Franklin', fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold')\n", - "ax.set_ylim([0,15000])\n", - "\n", - "ax.grid(color='k', linestyle='-', linewidth=0.2)\n", - "plt.ylabel('Trips per hour', fontname = 'Libre Franklin', fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold')\n", - "fig.set_size_inches(6.1, 1.8)\n", - "\n", - "\n", - "\n", - "ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))\n", - "plt.yticks(range(0,16000,5000), fontsize =9)\n", - "\n", - "ax.set_xticks(range(0,180,12))\n", - "ax.set_xticklabels(['0','12','0','12',\n", - " '0','12','0','12',\n", - " '0','12','0','12','0','12'], fontname = 'Libre Franklin', fontsize = 7, color = '#777777')\n", - "\n", - "ax.xaxis.set_minor_locator(ticker.FixedLocator(list(range(12,180,24))))\n", - "ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['Monday','Tuesday',\n", - " 'Wednesday','Thursday',\n", - " 'Friday','Saturday','Sunday']))\n", - "plt.yticks( fontname = 'Libre Franklin', fontsize=9)\n", - "ax.tick_params(axis='x', which='minor', colors = 'k', labelsize=9, pad =14)\n", - "\n", - "props = dict(boxstyle='round, pad=0.3',edgecolor=purple, linewidth = 1.5, facecolor = 'w', alpha=1)\n", - "plt.text(0.01, 0.69, '7,500', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", - " verticalalignment='top', bbox=props, color = purple)\n", - "\n", - "plt.text(0.86, 1.03, '13,100', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n", - " verticalalignment='top', ha = 'center', bbox=props, color = purple)\n", - "\n", - "ax.set_xlim([0,167])\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 241, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "14000\n" - ] } ], "source": [ @@ -410,51 +284,7 @@ }, { "cell_type": "code", - "execution_count": 239, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 239, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "importlib.reload(rick)" - ] - }, - { - "cell_type": "code", - "execution_count": 201, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "period_uid 10.0\n", - "count 13068.4\n", - "hr 23.0\n", - "dow 7.0\n", - "dtype: float64" - ] - }, - "execution_count": 201, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "count_18.max()" - ] - }, - { - "cell_type": "code", - "execution_count": 435, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -493,83 +323,14 @@ }, { "cell_type": "code", - "execution_count": 243, - "metadata": {}, - "outputs": [], - "source": [ - "query = ''' \n", - "\n", - "WITH sum AS (\n", - "\n", - "SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\n", - "LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n", - "\n", - "WHERE pickup_datetime > '2016-09-30'\n", - "GROUP BY pickup_datetime, area_name\n", - "), collect AS (\n", - "SELECT area_name, avg(count) as count, mon, yr from sum\n", - "group by area_name, mon, yr)\n", - "\n", - ",tot1 AS (\n", - "\n", - "SELECT area_name, avg(count) as count FROM collect\n", - "WHERE (yr =2016 AND mon IN (10))\n", - "GROUP BY area_name\n", - "), tot2 AS (\n", - "\n", - "SELECT area_name, avg(count) as count FROM collect\n", - "WHERE (yr =2018 AND mon IN (9)) \n", - "GROUP BY area_name\n", - ")\n", - "SELECT SPLIT_PART(area_name, 'Community', 1) as area_name, CASE WHEN b.count = 0 THEN NULL ELSE (a.count-b.count)*100/b.count END as yoy_growth, \n", - "b.count as count1, a.count as count2, a.count-b.count as delta FROM tot1 b\n", - "LEFT JOIN tot2 a USING (area_name)\n", - "ORDER BY count1 ASC\n", - "'''\n", - "\n", - "district = pandasql.read_sql(query, con)" - ] - }, - { - "cell_type": "code", - "execution_count": 219, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "4" - ] - }, - "execution_count": 219, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(district)" - ] - }, - { - "cell_type": "code", - "execution_count": 213, - "metadata": {}, - "outputs": [], - "source": [ - "grey = '#7f7e7e'\n", - "leg_font = font_manager.FontProperties(family='Libre Franklin',size=9)" - ] - }, - { - "cell_type": "code", - "execution_count": 383, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { - "image/png": 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oc/z4cc2aNUvz58833f0sKChIs2bN0vXXX+9WPk+lpKSoT58+2rJli+nxJk2aaPDgwbrppptMx5zk5GQtWbIkx913evTooRdeeIGs+TQrAPtd7YHHK+xaCHD48GF169bN8sGVLl266NFHH1XNmjVNj589e1bz5s3TzJkzTXdq9vPz08SJE3Xbbbd5nNUdTppfkdU7WQFY+/nnn/Xoo4+aPoQYEBCgzp07q1u3bmratKnltXjq1CnNnz9f77zzjmk9VapU0WeffebWWz6WLVum//znP6YPEBQqVEgPPvigevfurVKlSpmev3fvXs2YMUNffPGF6fFixYppwYIFql69usvZ7BAXF6fu3bvryJEjpsdjYmL073//W40bNzY9npiYqI8//lhTp061HMeHDx+u/v37kzWfZgVgLjY2VpMnTzaUR0ZGasKECWrRooVL9X355Zd6+umnDZsmFC1aVJ9//rnbOz1fC/3N2LFjNWfOHNNj5cqV07///W916dJFhQoVMhzPzMzU6tWrNXnyZG3atMm0jujoaM2bN0+FCxcmaz7NChQEjz32mL7++mu3zrVzIYCTrn0nZXWHk+7dkdU7WfOjgNGjR4/O6xAAAAAA7LFgwQLNnDnT9FivXr0UGxur2rVrW+7iGxAQoBo1auiee+5RQkKC6e6Mhw8fVokSJa66Yw4A5EdXdiKxeki6e/fumjZtmlq3bq0SJUpY1hMQEKC6devq3nvvVVZWltavX2/6uS1btqh79+4KDg52KeelS5fUr18/xcXFGY5FRkZq1qxZ6tat2587apopVqyYYmJiFBMTox9//NHwSvPMzEytWbNG99xzj8v57PD666/ryy+/NJT7+flp6NChevnll1W5cmX5+fmZnh8YGKh69erpnnvu0eHDh00Xdmzfvl3R0dGWCzrImrdZAdhr27ZtGjFiRK5et123bl3dcsstHrWXmZmpgQMHmr5dJywsTLGxserfv7/lA5aSFBoaqubNm6tjx45avXq16bj3888/684771RYWJhHed3hpPkVWb2TFYC5kydP6v777zddxFWvXj29++676tGjh8qXL2/5vVO6PF60aNFC//rXv7Rq1SolJCRkOx4fH6/y5curfv36LuU7ffq0HnroIdMHCKpXr665c+eqQ4cOOS4wKFWqlNq1a6dGjRrphx9+UGpqarbjKSkp2rZtm+65554c/0Zveeqpp0znoUFBQRozZoyefPJJlS1b1vL84OBgNW7cWF27dtXWrVtNFwGvW7dOrVu3VunSpcmaD7MCMNq5c6dGjBhhWAQWFRWlDz74QPXq1XO5zpo1a6px48b66quvsr3NLDU1VadPn1bHjh3dylrQ+5uffvpJY8eONT126623aubMmWrSpIkCAwNNP+Pn56dKlSrp7rvvVnBwsH799VfDZ86cOaOUlBS1bNmSrPkwK1BQPPfcc5ZvwQwNDdWtt96q06dPm36ma9eubi8Y+zsnXftOyuoOJ927I2v+uifqbSwEAAAAAAqIU6dO6d///rfhxqQkPfzww3rqqacsH6T4p4CAALVq1Urp6emmP0avX79et99+u4oWLepxbgDwpWnTpmnhwoWG8pCQEP3vf/9T//79TXchsRIQEKAbb7xRJUuW1I8//mg4funSJZUuXdrlh9AmTpxoWl9ERITmz5+vWrVq5bquMmXK6NZbb9VXX31l+OErISFBSUlJiomJcSmfp3bs2KGnnnrK9GHV559/Xg8++GCuH6YJDg5Whw4ddOTIEe3evdtwfMOGDbr33nvd/mGPrN7JCsBeiYmJevDBB3Xu3Lk/ywIDA1WoUCHTHZbtWAgwd+5cffTRR4by0NBQvffeey7teBYeHq7OnTvrhx9+MNzwSU1N1eHDh9W5c2eP8rrKSfMrsjJvBXxt2LBhpm/kaNOmjd555x2VKVPGpfpKly6tNm3a6Ntvv1ViYqIkqXnz5hoxYoS6dOni8ts9nnzySe3YscNQXq1aNc2fPz/HByv/qXLlyrr55pu1ZMkSw5h66tQpFStWzHK3Zm9ZsWKFXn/9dUN5QECAJk+e7NKbdEJDQ9WlSxdt3LhRx48fz3YsMzNT27dv1z333OP2G1bI6p2sAMyNGjXKsMP+ld1fPXmDS4UKFRQYGKhffvklW/m+ffvUqVMnlSxZ0qX6Cnp/c/HiRfXv39+wwE+SbrvtNk2aNEkhISG5qsvPz0/XXXedSpcure+//95wfNu2bYqJiXH5uwdZvZsVKEimT5+e7TcMPz8/NW/eXEOGDNG4cePUpUsX/fTTT4Y+WLJnIYCTrn0nZXWXk+7dkTX/3BP1BWaWAAAAQAHx+uuv/3mz9O9iYmI0YsQIt+ocNmyYWrdubShPSkrSG2+84VadAJCXPvvsM0NZYGCg3nzzTXXq1Mnteu+77z7LBxSXLFniUl1Hjx7V7NmzDeUBAQF68803VbFiRZfzRUVFKTY21nSXlQ8++ECHDx92uU5PjB8/3vTVnD169FCvXr1crs/Pz0/jxo1TdHS04djJkyctdx3ODbJ6JysAez3//POGB17Gjx+vtm3beqW9xMREvfnmm6bHxo0bp4YNG7pcZ/HixTV16lTTnf9XrFhhugOYNzlpfkVW5q2ALy1dulQ//fSTobxp06Z64403cv1gxz9VrFhRs2bN0qBBg/TVV19p9uzZ6tSpk+VOkVbWrVunZcuWGcpDQ0M1bdo0hYeHu5wtOjpaL7/8sumxyZMn68KFCy7X6a6MjAyNHz/e9NjQoUPVpk0bl+sMDg5WbGysypUrZzj222+/6fPPP3e5Toms3soKwNyBAwf0888/G8q7d+/u1psA/qlv376KjIw0lLt6LV8L/c2sWbNM31BQp04djR8/3q1FCd27d1fv3r0N5RkZGXrllVfcyimR1VtZgYLkymYFVapU0dChQ7VixQrNnj1bXbt2VZEiRbzevpOufSdldYeT7t2RNX/dE/UFFgIAAAAABcCJEye0ePFiQ3loaKjGjh3r0SvKx44da/pDxpIlS3Ts2DG36wWAvPD2228bdigeOXKk/vWvf3lc9/Dhw0372+3bt+vSpUu5rmfGjBnZXjV+RZ8+fdSsWTO38zVq1EgPPPCAoTwjI0PTp093u15Xbd68WWvWrDGUly1bVk8++aTb9QYHB+vll1823UV47ty5pg8dXg1ZvZMVgL0+/fRTw6Kze+65R126dHH54cncmjdvnulDj+3atfNoYV3FihU1fPhw02PTpk1zu15XOWl+RdbLmLcCvpGZmanY2FhDeaFChTRhwgSP3xZVtWpVPfbYY6pWrZrbdViNF8OGDVPlypXdrrd9+/bq2LGjoTwxMVFz5851u15XffXVV6YPLURHR+vhhx92u95ixYrphRdeMD02ffp007eOXQ1ZvZMVgLmlS5ealruzMYKZ4OBgtWvXzlC+evVql+op6P1NUlKS5syZYyj39/fX+PHjPfquMHLkSJUvX95Qvm7dOtM3hF0NWS+zOytQ0Lz44otasGCBvvnmGw0cOND0evEWJ137TsrqLifduyNr/rkn6issBAAAAAAKgFmzZhleTy5d3qXG01fiRUREqF+/foby9PR0dgIG4DhVq1bV7Nmz9corr6hMmTJq1aqV7r//flvqLl++vBo0aGAoz8jI0N69e3NVxx9//GH61oIiRYpo0KBBHmccMGCA6U7LX3zxhU6dOuVx/blh9QPb4MGDVbhwYY/qrl27tm6//XZD+fnz5/Xhhx+6XB9ZL7M7KwD7HDhwQGPGjMlWVq1aNT3zzDNeazM1NVXvv/++odzf39/tHd3/rlu3bqpUqZKhfPXq1dq2bZvH9eeGk+ZXZL2MeSvgG19//bUOHDhgKO/fv78qVKiQB4my27lzp1atWmUor1Chgnr27Olx/Y8//rjpLpbvv/++UlJSPK4/N2bMmGFa/sQTT7i1w+bftWrVSjfccIOh/NChQ6ZvWbgasl5md1YA5jZu3GgoK126tKpXr25bG2a/++3atculh+wLen/z0UcfKT4+3lDeuXNn1a1b16O6Q0JCNGTIENNjVv+uOSHrZXZnBQqa9u3bq0mTJnnStpOufSdldYeT7t2R9S/54Z6or7AQAAAAAHC4jIwMww6gkhQUFKT77rvPljZ69eqloKAgQ/nSpUtNH+QAgPzuzjvv1I8//qjp06d7tPvsP9WqVcu0/I8//sjV+V9++aVSU1MN5XfddZeKFy/uUTZJKlq0qO666y5DeVpamr788kuP67+ac+fO6ccffzSUlyhRQnfccYctbfTt29e03NXXoJM1O7uyArBPamqqHn/8cSUlJf1ZFhISokmTJnm8ACgnK1eu1NmzZw3lrVq1UpUqVTyuPzAw0HIe88UXX3hc/9U4aX5F1uyYtwLeN3/+fENZRESEHnnkkTxIY2T13bR3796m/YOrKlWqpNatWxvK4+PjTb+P223Xrl3atWuXobxWrVq68cYbbWnDru/9ZM2O+RTgffv37zeUlStXztY2IiIiDGVpaWlKSEjI1fnXQn9jNWcz25HXHZ07d1apUqUM5StXrlRcXJxLdZH1L3ZmBWAfJ137TsrqDifduyPrX/L6nqgvsRAAAAAAcLjVq1ebTnBvuukmlS5d2pY2SpUqpZtvvtlQHh8fr19++cWWNgDA1+xcAHCF2Q+RkpSYmJir861+eDLbjd1dVnVZvULdTsuWLVN6erqhvGPHjh69Gvbv6tatq5o1axrK9+zZY3pT2ApZs7MrKwD7vPLKK9q5c2e2slGjRqlOnTpebddqrLJr4ZF0+eae2W6YX3/9tUu7bbrDSfMrsmbHvBXwrlOnTmn9+vWG8ttvv92275yeyMrK0ldffWUo9/f3V5cuXWxrJy/nU74Yg1u1aqVixYoZyletWqULFy7kuh6yZmdXVgDWzHYhtvu3P7MH1SQpOTk5V+cX9P7m4MGD2rFjh6G8Ro0aio6OtqWN4OBgdejQwVCekZFh+j3AClmzsysrAPs46dp3UlZ3OeneHVlzV5cv5vC+xEIAAAAAwOGsXunatm1bW9uxqu+bb76xtR0AcLK/78r8d7nZmfnUqVPavHmzoTwyMlINGzb0ONsVDRo0UJkyZQzl27Zt0++//25bO2byesz6+uuvc10HWXNfnytZAdhj+fLlmjt3braytm3b2razupW0tDStWLHCUB4UFKRWrVrZ1k5ERIQaNWpkKD9z5ow2btxoWztm8rpPdWV+Rdbc18e8FfDcV199ZboY684778yDNEabN2/WqVOnDOWNGjUy3cHZXTExMaZvF/jhhx8sHxC1i1VfZmdfGhQUpJiYGEO51XcAK2TNzq6sAKyZjVGnT5+2tQ2rjRDCwsJydX5B72/y+ju/VfuufJasuW8fgHc56dp3UlZ3OOneHVmN8vKeqC+xEAAAAABwOLPd2CTphhtusLUdq/o2bNhgazsA4GRmD55IUokSJa567oYNG5SVlWUot7s/l6Trr7/eMoO3ZGRkmD68GRQUpKZNm9raltW/WW4fHiWrOU+zArDHyZMn9dRTT2UrK1u2rF566SWvt71z507TRW/169dXaGiorW01b97ctNzb8w8nza/Imvv6mLcCnlu5cqWhLCoqSrVr186DNEa+6mdCQ0NVv359Q3lycrJ+++03W9v6u7Nnz+rQoUOG8sjISFWtWtXWtqzG4Nx+7yerOU+zAshZeHi4oez333/X0aNHbWvjp59+MpSVK1dORYoUueq510J/46uxuGnTpqaL8rZu3Wr6xkwzZDWyIysA+zjp2ndSVnc46d4dWc3lxT1RX2MhAAAAAOBgFy5c0IEDBwzlxYsXt/3H4ypVqpj+mH7o0CGdO3fO1rYAwKk2bdpkKPPz81OtWrWueq7ZzheSTHdE9lTjxo1dymCHvXv3mj48WrNmTdsfHrX6N9uyZYvpD4v/RFZznmYF4LmMjAyNGDFC8fHxf5YFBATof//7n+l3dbuZjXOSd8YqqzqtMtjBSfMrsppj3gp4R1ZWlrZs2WIoN3sgPq8U9PmUk8ZgsprLi+82wLWkevXqpuXz5s2zpf7du3ebPuh444035ur8gt7fWH1XyCmPuwoXLmz6W2tSUpJ279591fPJas7TrADs46Rr30lZ3eWkuSZZzeXFHN7XWAgAAAAAONjWrVtNH7yrWbOmV9qrUaOGZQ4AuNZt3rxZZ86cMZRXq1ZNxYoVu+r5Vn2pN/p0q/7c6gdbO1jV7Y2/LywsTOXKlTOUJyQkmD6I+E9kNedpVgCemzJlitatW5etbODAgZa7GtnNl2OVVZ3enHs4aX5FVmvMWwH77d27VwkJCYby6OjoPEhjzup7cW4WZbsqL+ZTvhyDq1atqsDAQEP5vn37dPHixaueT1ZznmYFkLMWLVqYls+ZM8cwh3LHq6++avqd9t57783V+QW9vzl06JDOnz9vKC9XrpyKFi1qe3uejMVktZYX33EAGDnp2ndSVnc56d4dWc1dC+MbCwEAAAAABzN7lax0eRdEb6hUqZJp+ZEjR7zSHgA4yYIFC0zLO3XqlKvzDx48aFpu9065klS5cmXTcm/25/llzDp8+PBVzyWrNU+yAvDMunXrNHXq1Gxl1113nQYNGuSzDFZjlTf6nKioKNOHV86ePavExETb25PyT5+am/GYrNaYtwL2s9pd0Wr3ZV+7ePGi6aLsoKAgRUVF2d5eQZ9PBQcHq2zZsobyzMxMHTt27Krnk9Wcp1kB5Kxz584KCAgwlKenp6t///76+uuv3a573rx5WrVqlaG8bdu2atq0aa7qKOj9jZO+85PVGnMpIH9w0rXvpKzuctK9O7Kay4s5vK+xEAAAAABwsOPHj5uWm+3Wawereq1yAMC1Yu/evVq0aJGhPDAwUHfeeedVz7948aLi4+MN5QEBASpdurQtGf8uMjLS9OZofHy81x6udNKYRVZrfBcA8sa5c+c0fPhwZWRk/FlWvHhx/e9//zPtz73Fl32Ov7+/IiMjXcrhKSf1qWS1xlgF2M/qoUFv7PDoDqvrOzIyUv7+9t8ON3u4MqccdrD63yA/9qVktcYYBXhPxYoV1bVrV9NjSUlJeuyxx9SvXz99//33Sk1NzXW9v/76qyZMmGAoj4yM1JgxY3JdT0Hvb5z0nZ+s1hingPzBSde+k7K6w0n37shqLS/uifqacTsdAAAAAI5hNaktVaqUV9qLiIgwLT9x4oRX2gMAJ8jIyNDo0aOzPZx5xd13360KFSpctQ6rfrREiRJeecAzMDBQ4eHhOnv2rGmWWrVq2d6mk8YsslrjuwCQN5566imdOnUqW9m4ceO8dlPNTFJSkukNGsm6b/BURESEaf9y4sQJ1a5d2/b2nNSnktUaYxVgP1cXAly8eFEbN27U9u3btWPHDv3xxx9KTExUQkKCAgICFBoaqsjISFWtWlXR0dFq2bKlRzf7ra5vb41PVlmvPEQQFhZme5tWf2N+7EvJao0xCvCuUaNG6ZdffrG8pn755Rf98ssvCg0NVbNmzdSsWTNdd911atiwoUJCQgyfX7FihYYOHaqUlJRs5cWLF9c777zjUl9R0Pub/PKd35OHVsnqWVYA9nHSte+krO5w0r07slrLi3uivsZCAAAAAMDBzp07Z1pevHhxr7RXrFgx0/K4uDivtAcATjB16lStX7/eUB4eHq4hQ4bkqg6rftSq37VD0aJFTX/08laf7qQxi6zW+C4A+N7s2bO1YsWKbGW9evVSu3btfJrD6joPCQkxfWjGDr7uc5zUp5LVGmMVYL+TJ0+alv/9gfdLly7p22+/1ddff61Vq1YZHpr8pz179mjVqlWSJD8/P11//fXq3bu32rVr5/Iu/r6eTxUqVEjBwcGmO0qfO3fO9oUAWVlZjulLyZozxijAu4oVK6bp06erT58+lte3dHmR88qVK7Vy5UpJUlBQkOrXr69mzZqpSZMmCgoK0qJFi7RkyRLDuWXKlNGMGTNcWph8LfQ3Vn+ft8Ziq3pz+t/9ap8hq2dZAdjHSde+k7K6w0n37siaM1/fE/U1FgIAAAAADpaUlGRaXqRIEa+0Z3UjMzk52SvtAUB+9/333+utt94yPfbiiy/melfLS5cumZZ7qz+XrPv0qz2w4y4njVlktcZ3AcC3du7cqQkTJmQrq1Wrlp588kmfZ8mLscqqbm/1OU7qU8lqjbEKsN/Fixcty3ft2qWFCxfqiy++UEJCglv1Z2Vlae3atVq7dq3q16+v0aNHq0GDBrk+P6/GKLOFAN6YT1n9fVdyeIO7YzBZc+br7zbAtahmzZpasGCBBg0apP379+fqnLS0NG3atEmbNm3K8XPNmjXTpEmTVKZMGZcyXQv9jZO+85PVGnMpIH9w0rXvpKzucNK9O7LmzNf3RH3Nte0UAAAAAOQrVhOTwEDvrPm1qpcfAQFci3bt2qXHH39cmZmZhmM9e/ZU+/btc12XVT/qrf5curzbmZmcbk56wkljFlmt8V0A8J2kpCQNHTo020OGhQoV0qRJk7y2A39O8tNY5a0+x0l9KlmtMVYB9rOaI3Tr1k133HGH5s6d6/YigH/avn27evbsqQ8++CDX5+TFGGVVtzfmUzn1X976G90dg8maM19/twGuVVWqVNGnn36qhx9+2LbruWvXrpo9e7bLiwCka6O/sfrOb5XDU96Yn5CVuRSQXzjp2ndSVnfkp99DrzbXJGvOfH1P1Nd4IwAAAADgYFaTpICAAK+0x4+AAHDZ4cOH9fDDD5vudtK8eXM988wzLtWXnx5c8fUPpvlxzCKrNb4LAL7z4osv6tChQ9nKnn76adWoUSNP8vj6Ye6c6masImtOGKsA+1ldP2Y74ktSmTJl1KxZMzVp0kT169dX6dKlVaJECQUGBurs2bM6cuSIVq1apS+//FInTpwwnJ+WlqYXXnhBiYmJ6t+/v9v58uIhAm/sJphTnfltURVZc8YYBfhOoUKF9MQTTygoKEhTp071uL5t27Zp2bJlat++vcvfY6+F/sZJ3/nJao1xCsgfnHTtOymrO5x0746sOSvoYxwLAQAAAAAHs5pEZ2VleaW9jIwM03JvreoHgPzo999/1wMPPKAzZ84YjlWvXl1vvvmmyz9WWX3e7G0DdklPTzctDw4O9kp7AQEBpn9PfhyzyGqN7wKAbyxatEifffZZtrIOHTqoW7dueZTIeu6RF2OVt/ocJ82vyGqNsQqwn9V19Xfh4eG6/fbbdfvtt6tBgwaWn4uKilJUVJRuvPFGPfbYY/rggw/02muvmT4kOXHiRFWsWFEdO3bMse38NJ/yRl+T00M0mZmZXnnIxt2+lKw5Y4wCfCclJUWvvfaa3n//fVvq27dvn4YNG6bKlSvrv//9r1q3bp3rc6+F/sbXY7Enfx9ZrTFOAfmDk659J2V1R36aa17t3h1Zc+bre6K+xkIAAAAAwMEKFy5sWm61I5unrCZIVjkAoKD5/fff1bdvX9NdK6OiojRz5kyFh4e7XG+hQoVMy9PS0lyuK7es+nSrLJ4qXLiw6d/jrb/Rqt7cjFlkteZJVgC5c/jwYY0ePTpbWVRUlMaOHZs3gf4/q+s8L8Yqb/U5TppfkdUa81bAfjnNEcLCwjRw4ED16tVLoaGhLtUbHBysBx54QE2aNNHAgQN19uxZw2dGjx6t66+/XhERES7nKyjzqZz6r7S0NK88QOru936y5oz5FOAb+/fv15AhQ7R///5s5UFBQercubNatGih1NRUbdiwQevWrdPx48dzXffhw4c1YMAAde7cWWPHjvXo+7BUcPobX4/FnnznJ6s15lJA/uCka99JWd3hpLkmWXPm63uivsZCAAAAAMDBrCYmly5d8kp7SUlJLuUAgILk2LFj6tu3r44dO2Y4FhERoZkzZ6ps2bJu1e3r/jyntCzRPwAAIABJREFUur31g2lISIhpudXY4imrvy83YxZZrXmSFcDVpaamatiwYbp48eKfZYGBgZo4caKKFi2ah8ms+5u8GKu81ec4aX5FVmvMWwH7WV0/5cuX15w5c1ShQgWP6m/UqJHeeust9enTx3DjPz4+Xm+//baefvppl/MVlPmU1RgsXe7zvNG/uTsGkzVnzKcA71u9erWGDBmihISEbOU33HCDXnrpJVWsWPHPsitvXDt+/LjWrl37539mv/3905IlS3Tw4EHNmjVLxYsXz/Gz10J/46Tv/GS1xlwKyB+cdO07Kas7nDTXJGvOfH1P1Nf88zoAAAAAAPeFhYWZlv/zR267JCYmmpbn9UNJAOBtR48eVZ8+fUxvBJYuXVqzZ89WlSpV3K7fqh+9cOGC23VejdVYYTW2eMrqb/TWmGVVb27GLLJa8yQrgKubOHGifvvtt2xlQ4YMUZMmTfIo0V+srvOkpCTLHZU85es+x0nzK7JaY94K2M/qxvgjjzzi8SKAK5o0aaIhQ4aYHvvwww9z7DN8PZ9KT0+3fIjAG/Op4OBgy4dI89v3frLmjPkU4F1r167VgAEDDNfanXfeqZkzZ2ZbBPB3UVFR6tq1q15++WUtX75cP/zwg8aPH69bb701xwcLf/vtNw0cOPCqb7q6Fvobq/HPW2OxN+YnZGUuBeQXTrr2nZTVHU66d0fWnPn6nqivsRAAAAAAcLBy5cqZlsfFxXmlPat6y5cv75X2ACA/uLII4MSJE4ZjVxYBVK9e3aM2rN4kcO7cOWVlZXlUt5msrCydO3fO9FhUVJTt7Um+H7Os/r7cjFlkteZJVgA5++WXX/T+++9nK2vRooX69++fR4myK1WqlIKDg02PFZT5h5PmV2S1xrwVsF9kZKRpeeXKlW1t5/7771epUqUM5SkpKVq+fLnleVbzKV/3M6GhoSpZsqRX2nTS936yWmM+BXjPyZMnNWTIECUnJ2cr79Spk1555RUFBQXluq5y5cqpa9eumjx5sr7//nsNGDDA8vwNGzZoxowZuarTTEHpb6z+PqscnvLG/ISszKWA/MJJ176TsrrDSffuyGotL+6J+hoLAQAAAAAHs5qYmD2saofff//dpRwA4HRXFgGY9X/lypXT3LlzVa1aNY/biYyMNH24MjU1VWfPnvW4/n+Ki4sz3a3Mmw+uOGnMIqs1vgsA3pGenq4XXnjBcKNj+PDh8vd372f8rKwsy12Uzp8/73J9fn5+ljfVrPoGT508edK03K7dp//JSX0qWa0xVgH2s7p+MjMzbW2ncOHC6tKli+mxX375xfI8q3xW44inrOr15kNyVn+jt8Zgb/T7ZGWMArzp2WefVXx8fLayypUra8yYMR7VW7JkSQ0bNkwfffSR6WI1SXr77bev+kB/Qe9vnPSdn6zWGKeA/MFJ176TsrrDSffuyGotL+6J+lpgXgcAAAAA4D6rB2COHj3qlfas6vXWgzgAkJdyWgRQuXJlzZo1y7YfF688XHno0CHDsSNHjigiIsKWdq6w6s+9eVPHSWMWWa3xXQDwju3bt5uOAffee69X2luxYoVq165teqxly5Z69913TY9VqFDBcqxq1KiRnRF15swZw26ekndv0DipTyWrNcYqwH5WD7gnJCTY3tZNN92k9957z1C+c+dOy3MiIyMVEhKilJSUbOXJyck6deqUypQpY2vGvOhnrOo+cuSI7W1lZmbq+PHjLuXIzWfI6llWANbWr1+vn376yVD+4osvKiwszJY26tWrp7fffls9evRQenp6tmMpKSn65JNP9Mgjj1ieX9D7Gyd95yerNeZSQP7gpGvfSVnd4aR7d2S1lhf3RH2NNwIAAAAADlavXj3T8j179nilvf3795uW169f3yvtAUBeOXLkiOUigJo1a2ru3Lm2/0AUHR1tWu6NPn3fvn2m5d7sz305ZqWmppreSA0ODrZ88PXvyGrO06wArP3zwcW8dPDgQctjvuxzCvpYJXk2vyKrNeatgP1q1aplWn7s2DHb26pevbpp+enTpy3P8fPzU926dU2PMUa57vjx46aL8aKionK1GI+s5jzNCsDaxx9/bChr3LixWrRoYWs7DRo00N133216zGwhwt8V9P6mdu3aCggIMJQfOXLENIunPPnOT1ZrzKWA/MFJ176TsrrLSffuyGouL+bwvsZCAAAAAMDBqlatqvDwcEP5mTNnbH/9+R9//GH6QGzp0qXZDQRAgXLkyBHdf//9pn1edHS05syZo8jISNvbbdy4sWn5tm3bbG/Lqs4mTZrY3tYVjRs3lp+fn6F8165dpq/k9MTOnTuVkZFhKI+OjjZ93eg/kdWcp1kBOF9BH6ucNL8iqznmrYB3REdHKygoyFDujRv0pUqVMi2/ePFijucV9DHKSX8fWc3lxf9vgGvFjz/+aCjr0KGDV9q66667TMuv1m8U9P4mNDTUdJOIzMxMbd++3da2MjIytGPHDkN5YGCgGjZseNXzyWrO06wA7OOka99JWd3lpDGcrOauhbkYCwEAAAAAB/Pz87OcJP3666+2trV+/XrT8qZNm9raDgDkpZwWATRt2lTvv/++SpQo4ZW2rX5wWrNmje1tbdiwwbTcm3160aJFVaNGDUN5cnKytm7damtbVmNWbn/UI6s5T7MCcD6r633z5s22Lz7Ki7HKSfMrsppj3gp4R0hIiOmO+1Z9tSf8/c1vX5stRPg7X82nMjIytHnzZkO5v7+/ZV9nh1q1aiksLMxQfuTIEdP5qyc87UvJao4xCvCOkydPKi4uzlDeoEEDr7RntTju0qVLSkxMtDzvWuhvfDUW79ixQ0lJSYbyOnXqqHDhwrmqg6xGdmQFYB8nXftOyuoOJ927I6u5vPid2ddYCAAAAAA4XOvWrU3LV6xYYWs7P/zwg2l527ZtbW0HAPJKTosAbrrpJs2cOVNFixb1WvvR0dGmbxo4evSorTttHjt2THv37jWUV6pUSTVr1rStHTNWY9by5cttbceOMYusRnwXALynUqVKpjum54V69epZHitZsqTpQ46XLl3Szz//bFuGS5cumT4gHhoaqhYtWtjWjhknza/IasRYBXhPy5YtDWUnTpzQ7t27bW3H7GFOSSpevHiO57Vs2dL0LVUbNmzQ+fPnbckmXX64MiEhwVDevHlz0wc87eLv769WrVqZHvPF934/Pz+1adMmV+eT1ZynWQGYO3PmjGm51RtmPBUUFKRixYqZHsvp7TXXQn/jpN+nyGrEXArIX5x07TspqzucdO+OrEZ5eU/Ul1gIAAAAADhc+/btFRgYaCj/8ccfbbvRmZycbDpZL1SoED8CAigQjhw5oj59+pguAmjbtq3efvttr+985O/vr44dO5oeW7RokW3tfPnll6blt912m21tWLFqY+nSpUpPT7eljZMnT5ru7lGuXDk1a9Ys1/WQNTu7sgIwV65cOa1Zs0a7d++29b++ffuatte6dWvt2rXL9JzY2Ngcs3bq1Mm03M6xasWKFUpOTjaU33LLLSpUqJBt7Zhx0vyKrNkxbwW8y2quYjW/cJfVwoKqVavmeF5YWJhiYmIM5WlpabZmXLp0qWm5L+ZTvhiDN2/erOPHjxvKmzZtqnLlyuW6HrJmZ1dWAEYpKSkuldshIyPDtPxqC8IKen9z4403qmTJkoby3377Tfv377etHTt+2ySrUV7+ZgzAyEnXvpOyusNJ9+7IanStjG8sBAAAAAAcrkSJEqa7siUnJ2vBggW2tLF48WJduHDBUN6mTRuv7nYGAL5wZRHAyZMnDcc6d+6sN99803RnSW/o0qWLafnChQtz3FUst9LT0y3HBqu27VSnTh3THTZOnTqlr7/+2pY2FixYYHpDtnPnzvLz88t1PWTNzq6sAHzL6k024eHhbl+7nTp1Mn2ge9myZTpx4oRbdf7TvHnzTMt9MVY5aX5F1uyYtwLeVatWLdPvnAsXLrT1YcuVK1ealtevX/+q51qNE3PmzFFmZqZHuSTpwoULWrx4saE8JCREt956q8f1X01MTIzpG4S2bNmiTZs22dKGXWMwWbPLy+82QEFn9T3v9OnTXmkvJSVF8fHxhvIiRYqoSJEiOZ5b0PubwMBAywf63n//fVvaWL16tQ4cOGAob9SokSpXrpzresianV1ZAdjHSde+k7K6y0n37sj6l7y+J+pLLAQAAAAACoAHH3zQtPydd96xfKV6bqWmpmrq1Kmmxx566CGP6gaAvJbTIoB7771XEyZMMH3Y0VsaNGigG264wVAeHx+v6dOne1z/J598YrorWOvWrVW9enWP688NqzHr9ddfV2pqqkd1x8XFac6cOYby4OBg9enTx+X6yHqZ3VkBOFvp0qVNb5Skp6frtdde87j+VatWmb6BpHbt2vq///s/j+vPDSfNr8h6GfNWwDfuv/9+Q9nZs2c1f/58W+pPTk623HG/TZs2Vz2/Xbt2qlSpkqF8//79+uSTTzzO98477ygpKclQ3q1bNxUvXtzj+q8mODhYvXv3Nj02YcIEj+vfv3+/6b9/RESEunbt6lJdZP2LnVkBGFWoUMG0fO3atV5p79dffzUtb9So0VXPvRb6mwceeEABAQGG8k8++cSWXaHfeOMN0/KHH37Y5brI+hc7swKwj5OufSdldYeT7t2R9S/54Z6or7AQAAAAACgAmjdvriZNmhjKL1y4oOeff96juidPnmw6QYqJicnVbmwAkF8dPnzYchFA3759NXbsWPn7+/6nkwEDBpiWv/vuu9q2bZvb9Z4+fdryAc1Bgwa5Xa+rbr/9dkVFRRnKjx49qokTJ3pU99ixY5WYmGgov/vuu1WmTBmX6yPrZXZnBeB8/fv3Nx0jFy9erOXLl7tdb1JSkl544QXTYwMGDPDZG0icNL8i62XMWwHfuPPOO02//02ePNmWnZfnzJmjc+fOGcorVapk2n/8U0BAgB555BHTY6+++qpHb67ZvXu3Zs6caSgPCgry6UNyffr0Md1xesOGDZo9e7bb9WZmZuqZZ54xfQvYAw88oEKFCrlcJ1m9kxVAdmFhYapRo4ah/Msvv1RaWprt7X3++eem5a1atcrV+QW9v6lUqZLprtDp6el68sknPfrfZMGCBaZvTqhZs6batWvncn1kvczurADs46Rr30lZ3eWke3dkzT/3RH2FhQAAAABAAfHEE0+YPhizbNkyy1XyV/PNN99oxowZhvLAwEANHz7crToBID84fPiw7r//ftNFAAMHDtRTTz2VB6kuu/nmm9WyZUtDeVpamgYPHuzWwyvJyckaMmSI6avL27dvr4YNG7qV1R2BgYEaNmyY6bH33ntPCxcudKveWbNmme56VrRoUQ0cONCtOsnqnawAnK9atWq65557TI+NHDlSO3bscLnOjIwMPfHEEzpy5IjhWKNGjdShQweX6/SEk+ZXZGXeCvhKcHCwHnvsMUN5YmKihg8frvT0dLfrPnjwoKZMmWJ6zJWb9F27dlXNmjUN5RcuXNCAAQN04cIFl7PFxcVp8ODBpg+v9OnTR2XLlnW5TneFh4erf//+psdeffVVrVy50q16X3rpJW3cuNFQHhUVpfvuu8+tOsnqnawAjMweAjx+/LjeeecdW9v55Zdf9OWXXxrKCxUqlOsd96+F/uaxxx4zXXiwdetWPfvss8rKynK5zo0bN+qll14yPTZixAi3F42T1TtZAdjHSde+k7K6w0n37siaf+6J+goLAQAAAIAColmzZpY/6E6ZMkVjx45VampqrutbuHChhg8fbjopf/jhh1WnTh23swJAXsppEcCIESM0dOjQPEiV3YsvvqjQ0FBD+cmTJ9WzZ0+XdsE4ffq0HnjgAW3evNlwLDw8XM8995xL2WJiYlS7dm3DfwsWLMh1HV26dFHr1q1Njz333HOaPn16rn8UzszMVGxsrMaPH296fNSoUR7tWk9W72QF4HwjR4407QcSExPVt29f/fTTT7muKyEhQUOGDNF3331nOBYUFKRx48a59Jaenj17mo5VrrwhxUnzK7IybwV86e6779bNN99sKF+7dq2eeuopZWZmulznH3/8oYEDByopKclwLDo6WnfccUeu6woKCtJLL72kgIAAw7Hdu3erV69eOnz4cK7rO3DggHr27Gm6UK1y5cqmCyOsXLhwQU2aNDGMT3Xr1tWPP/6Y63oefvhh1atXz1CelpamQYMG6bPPPst1XampqXruuec0Z84c0+NjxowxnZuSNW+zAsiuZ8+epg8evvXWW/rmm29saWPHjh16/PHHTY89+uijKl68eK7rys/9zYgRI0znUlZ/u5lKlSpZjo+fffaZhg4davrmSSvff/+9HnroIaWkpBiOdenSRf/6179yXdc/kdU7WQHYx0nXfn7OunLlStWtW9cwvjVu3Nj0YXEr+fneHVl9kzW/Chg9evTovA4BAAAAwB7XX3+9vv/+e509e9ZwbOvWrfr2229VsmRJValSxfSGqHT5FbTPPvus3nvvPdObtw0aNNArr7xieT4A5GeHDh1S7969dfr0acOx++67z6WbWt5UrFgxRUZGavny5YZjiYmJ+vTTTxUXF6dq1apZ3mi8cOGC5syZo+HDh+vQoUOG435+fnr11Vdd3vnC6sHw+vXrq3nz5rmu5/rrr9fSpUt18eLFbOVZWVlavXq1Vq1apbJly6pixYqmu7pkZmZq5cqVeuKJJ7R48WLTNtq2bauRI0fmOhNZfZsVgPetXbtWa9euNZTXrVtXt9xyi0d1h4SEqHbt2lq6dKlh3pCSkqLFixfr8OHDqlKlikqVKmVax6VLl/Tpp59q6NChljd0Ro0apbZt27qUbcqUKUpISDCUV6pUyaW/20nzK7J6JysAc1e+c/7zwf3du3drz549atmypUJCQnJV165du/Twww+bzllCQ0M1a9YslShRwqV8ZcqUUVZWlukYGBcXp4ULFyolJUU1atSwfDjy9OnTmj59up588knT/io4OFhTpkxRxYoVc53rzJkzevfddw3lWVlZuummm1S3bt1c1ePv76+mTZtq0aJFhrcUZGRk6LvvvtPWrVtVsWJFlStXzrSO1NRUffPNNxo2bJhWrVpl+pk+ffqod+/eucpEVt9mBZBdWFiYsrKytGbNmmzlmZmZWrZsmSSpcePGbn03zMrK0meffabHH39c58+fNxxv2LChxo0b51Ld+bm/mTNnjo4fP24oL1GihO66665c19OoUSNt3LhRx44dMxzbt2+fFi9erCJFiqh69eoKDAw0rWPXrl16+eWX9dprr5m+ladChQqKjY1V4cKFc52LrL7LClwrsrKytGDBAp06dcpwrGPHjqpSpYrHbTjp2s+vWTds2GC6AUl6erp69uypYsWK5aqe/Hzvjqy+yZpf+WW5884NAAAAAPnW77//ru7du5v+4HBFsWLF1LRpU1WuXFmhoaFKSUnR8ePHtWXLFtMdsq+oWLGiPvzwQ8sHeQAgv+vWrZu2bNni83abNm2q+fPnu3zeG2+8oSlTpuT4mTp16qhevXqKiIiQv7+/zp07p71792rr1q1KT0+3PG/UqFF68MEHXc5Uu3Zt0/LBgwdryJAhLtW1a9cu9erVy/DQ+t9FRESoSZMmqlChggoVKqRLly7pyJEj2rRpk86dO2d5XsOGDTV79mzbblqR1TtZAXjX5MmTFRsbayjv2rWr5cIuV3388cd6+umnc/xM1apV1aBBA0VGRiowMFAJCQnav3+/Nm/erOTkZMvzevfurWeffdblTG3atDF9eMWdv9tJ8yuyeicrAHPbt29Xnz59THfxL1++vAYPHqwuXbooODjY9PwzZ85o5syZmjt3rumbQK48aP9///d/bmccNWqUPv/8c8vj/v7+atCggWrXrq0SJUooKytLcXFx2rVrl3bs2GH5dgM/Pz9NmjRJHTt2dCnPsWPHLBe3vfzyyy49YClJq1at0qOPPprjvK98+fJq1KiRypUrp5CQECUmJurQoUPatGlTjrtxtm3bVrGxsS69kYesvs8K4C+ZmZkaOHCgfvjhB9PjlSpVUs+ePXXbbbfl6g2Hly5d0jfffKP58+eb7igrXX4zzPz5893+3pkf+5s+ffqYLqS74YYbLN86YCUhIUG9evXSnj17LD9TuHBhNW3aVNWqVVNYWJhSU1N16tQpbdu2Lcc3+ISHh2vBggWqWrWqS5nI6tusQEHQq1cvbdiwwfZ6/fz8NGbMGN177725+ryTrv38mPXTTz/Vf//7X9Njy5cvV4UKFVyqLz/euyOrb7PmNywEAAAAAAqg/fv369FHH9XRo0dtq7Nq1aqaMWOGSzudAUB+U7duXcuHObwpKipKK1ascOvciRMnavr06bZl8fPz03/+8x8NGjTIrfPtXAggSevXr9fgwYNzfPjcVU2aNNGUKVNUsmRJ2+qUyOqtrAC8xxcLASRp3rx5eumll3K82eKqHj166Pnnn3frQTk7FwJIzppfkZV5K+BLV/vOWbx4cV1//fWqVauWSpQooYyMDJ0+fVpbt27Vpk2blJGRYXpe0aJF9dprrykmJsajfGlpaXrmmWdyXAzgqqCgIL344osuP7Qv2b8QQJKWLVumkSNH6tKlSy6fa6VNmzZ67bXXbF/8S1bvZAXwl5SUFD3++OOmO/5e4efnp0qVKqlOnTqqVKmSwsLCFBYWpvT0dCUkJOiPP/7Qjh07tHv3bqWkpFjWY9dvJPmtv7FzIYAknTp1SgMHDtRvv/3m8rlWSpcuralTp6pBgwa21SmR1VtZAaez+o3JDq7eU3HStZ/fstq9EEDKf/fuckJW72TNT1hqDgAAABRA1atX18KFC3XTTTfZUl9MTIw++ugjHqYA4Hh5sQjAU8OHD9eECRMUGhrqcV1FihTR66+/nq9+8Lruuuv08ccfq169erbUd9ddd2n27NleeVidrN7JCsD57rvvPs2YMcOWPiIoKEjPPPOMXnjhhXyzW66T5ldkZd4K+NKV75zR0dGmx8+fP6/vvvtOU6ZM0bhx4zR+/HjNnDlT69evt1wEUL9+fX388cceLwKQLo8pr7zyikaOHKmgoCCP64uIiNCsWbPcemDfW2699VbNnz/frQdX/snf31+PPvqo3nrrLa88rE5W72QF/h979x0dZbX1cfyXThqhhCIBCb2D8SIdAUGBCIhBECIdEVRQQeQFxX4VuaigV1GaiAXpLQRC7xYEMaGHLk0g9CSQTJJ5/2DBJSYz88xkwjDw/azlWjjPPvvswDPPBHL2OfgfPz8/ffHFF3rjjTdUsGDBXGPMZrOOHj2q5cuXa/LkyRo3bpzef/99jR49Wl988YVmzpyphIQEi00Afn5+euWVV/T999875e8/d/vzpkSJEpoxY4batWvnlHy1atXS3Llz82WxOrXmT60AnMed3vvuVKuj3Olnd9R65/xMNL/cGf+KDgAAAMDpChcurGnTpmns2LGGjrrNTcmSJTVu3DhNnjzZ4j+cAwDyX4cOHRQXF+fwP5p6eHioQ4cOWr58udq0aePk6v43h6NKly6tuXPnWv1BrS0VKlTQtGnTNHr0aPn6+jpciy3UCgC5a9SokeLi4tS9e3d5eXk5lKNZs2aKjY1Vjx49nFzddXn5rHKnv19RK4DbqXTp0pozZ47efffdPC2IDAsL07///W/NmTNH4eHhzitQUr9+/bR48WI1adLEofHe3t7q2bOn4uLi9NBDDzm1thvy0vxWrVo1xcbGatCgQSpQoIBDOSIiIjRnzhwNHTo0XxvxqBVAfvPw8FDPnj21YsUK9ejRQ0FBQU7JGxAQoB49emj58uV6/vnnndJgdoM7PG/y8nepAgUK6JNPPtHkyZNVrlw5h3IUKlRIb731lmbPnq2SJUs6XIst1ArgTudO7313qTUvn5vu8LO7G6j17uZhNpvNri4CAAAAQP5KT0/XypUrNX/+fP3+++9Wj7T18/PTQw89pE6dOqlVq1Ys+gNwV2nbtq0OHTp02+dt0qSJpk6d6pRchw8f1pw5cxQXF2fzSNqwsDBFRkaqc+fOKlu2rFPmb926tY4cOZLj9cmTJztl186UlBQtXbpU8+fPV0JCgjIyMizGBgQEqEmTJnrqqafUtGn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4jBkzCv2zOSkpCQ8ePMCLFy+QnJwMqVQKc3NzWFlZoUaNGqhWrRp0dIpvLmd8fDyuX7+OqKgoSKVSVKlSBV26dIGurm6x1UREREREREREREREREREX653796hS5cuCs3bBR3/qfXr12PHjh1KnWtjY4MTJ06oXCP9PytWrBCs+q+jo4PRo0drnHvAgAEICgrCjRs3AACvX7+Gm5sbtm7dChsbG8HxMpkMy5cvx8GDB+UxAwMDzJ8/X3Dshg0bcPPmTQCArq4u/Pz8oK+vL1rHnTt3cODAAVy9ehWRkZFISUmBmZkZqlatiqZNm6J///6oW7euxq+XiIi+HGz+LwGioqJw8OBBHDt2rMBViK2srNC5c2f06dMHDRs21GjcK1euYOTIkcjKypLHJkyYgPHjxwuOvXjxItavX49r164JbriOHj2K6tWrqzT2+/fvceTIERw9ehT//POPQg256enpoVmzZujRowd69uyp8USATp06ITIyUr5tZmaGs2fPijaEh4aGIigoCBcuXEBmZmaeOZ2dnTF8+HD06NFDqYbHKVOm4MiRI0rVm5CQUOANno2NDS5evKhUvtzOnz+PP/74A6dPn0Zqamq+x9aqVQs9evRAv379UK5cObXG07acnBycPn0ax44dQ2hoqGBl7twkEgm++uorfPvtt3B1dUX58uXVGnf48OG4fPmyfNvQ0BCHDh2Co6Oj4Ng7d+5gx44dOHnyZL7/uHRwcMCwYcPg6uqq1Qkvjx8/xp49e3DkyBHRJu2P7Ozs0LVrV4waNQply5bV2vhfgitXruDw4cO4ePEiXr16VeDx9vb26Nq1KwYPHowqVapopYawsDAcOHAAJ0+eRGxsbL7H6uvro3HjxujRowe+/fZbGBkZKTVG69at8fr1a6WOPXnyJGrWrJnvMT179oSfn59S+TQxa9Ys9O3bF9nZ2Qrx06dP4/Lly2jRokW+5/v6+kIqlSrE2rRpg/bt22u9VuDDLxwOHTqEo0ePIjw8PN9jTU1N0aFDB/Tq1Qv/93//p9G4ERER6N27NzIyMuSxfv36wcfHR3DsnTt3sHbtWly4cEHwdQ0MDISLi4tGtSgrOzsb3t7e2L9/v8J79M0332Dfvn1FUgMRERERERERERERERERlRyJiYl4/vy52uenpaUpPXFA2b+fk7gnT56IrvrftWtXODg4aJxfV1cXa9euRa9eveTv1a1bt9C5c2eMGTMGXbp0QcWKFZGcnIybN29iw4YNCr1AADB37lzUqVNHULevr698e+zYsfjmm28E40dGRmLWrFk4deqUYF9iYiISExNx+/ZtbNiwAZ07d8bChQthb2+v8esmIqLSj83/xejNmzdYtWoVDh48mG/z+6fevn2LvXv3Yu/evWjVqhWmTp0KJycntcaPiYkRjPvixQuF7YSEBMybNw8hISF55sndEJkfmUyGffv2Ye3atUo9RgkAsrKyEBoaitDQUKxatQrjxo3DwIED1X4CwqeN/wCQkpKCpKQkheb/8PBweHt749q1a0rlvH//PqZNm4bdu3dj5cqVsLW1zfd4ZZqDVaHOPyYuX76M5cuX4969e0qfEx4ejvDwcAQEBGDIkCHw8PCAmZmZymNry9GjR+Hv7y+4bvPzcfX7VatWISAgAO7u7vD09Mxz9m1ecl9H79+/x5s3bxSa/6OiouDj4yN6Ey8mIiICCxYsQFBQEH799VeVJ9XklpiYCD8/Pxw4cEDQnCsmJiYGmzdvxp49e+Du7o4xY8Zw9e4ChIaGYunSpfjvv/9UOi86OhqbNm3C5s2bMXDgQEyfPh2mpqZq1RAdHY2FCxfi9OnTSp8jlUpx+fJl+efA+PHj8d1330FPL//bAm3/4kLbn4V5qVmzJgYPHoygoCDBPh8fHwQHB+e5ev61a9fw999/K8T09fUxc+ZMrdeZkpKCdevWISgoCOnp6Uqdk5qaij/++AN//PEH6tati6lTp6J58+ZqjR8XF6fQ+A8I7wvS09OxZMkS7N27VzAZ8CNV7gs0IZPJMHPmTAQHByvETUxMMH369CKpgYiIiEO+gFUAACAASURBVIiIiIiIiIiIiIiI1BMYGCj6d2dtrPr/UZUqVbBnzx788MMPiImJAfChV8Hb2xve3t55nqejo4NffvkFw4cPV4jLZDJMnTpV/rd1R0dH/Pzzz4LzL168iDFjxhS4iOlHf//9N65fv45NmzahSZMmSr46IiL6Uol3ulGhO336NL799lvs27dP6cb/3EJDQzFw4ED89ttvyMnJ0XKFwMOHD+Hq6ppv478q4uLiMGLECMyZM0fpxn+xHHPmzMGIESPUzpGfzMxM+Pv7o1+/fko3/n/qxo0bGDx4MN68eaP12rQlMzMTCxcuxIgRI1Rq/P9Ueno6Nm7ciD59+uDWrVtarrBgiYmJGDVqFH7++WeVGv9zk0qlCAgIwODBg5GUlKS1+mQyGbZu3YqePXsq3fj/qSdPnmDw4MF48uSJ2jXcvXsX/fr1w759+5Rq/P9UWloaVq1aheHDhyMuLq7IGnk/JxkZGZg+fTrc3NxUbvz/lEwmw969e9G7d29ER0erfP65c+fQs2dPlRr/c0tMTMTChQsxePBgjb6fSrqJEyfC0tJSEP/vv//w+++/i54jk8lEV70fPnw4vvrqK63Wd/PmTfTu3RsbN25UuvE/t7t372L48OFYtGhRvk+rUdfLly/x3XffYc+ePXk2/helefPmCRr/jY2N8dtvv6FRo0bFVBURERERERERERERERERFScLCwvRvw0XBmdn5yIZpzRKSEjA/v37BfE6depovfm9Vq1aCAkJgaura54LA36qevXq2L17N8aOHSvYt3nzZly9ehXAhwkCfn5+MDIyUjjm2rVrGD58uELjf9WqVbFkyRL8888/ePLkCUJDQzF79mzY2NjIj4mPj8cPP/yABw8eqPtSiYjoC8GV/4vB9u3bsXjxYtHGOT09PTRp0gRff/01bGxsYGBggFevXiEyMhKhoaGCx0pJpVL4+/vj4cOHWLp0aYGrNivr3r17GDlypNKzDwvy5MmTfBv2HRwc0LRpU9jY2MDS0hKJiYl49eoVrly5gqioKMHxly9fxqBBg7BlyxatNWA+f/4ckyZNEtxAVatWDY0aNUKVKlVgYmKClJQUPH/+HJcvX0ZsbKwgT0xMDH766Sfs2rUrz7Fq1qyJp0+fCuJv374VbdS2tLTM970t6EkDH6WkpMDDw0N+E5qblZUVWrVqBTs7O5QtWxbp6el4/fo17t27hzt37giu2aioKAwdOhQrV65Ex44dlapBUy9evMDw4cNFrwsAMDIyQpMmTVCrVi2UK1cOEokESUlJePjwIf7991/Ra/revXsYM2YMtm7dKrghV1V8fDymTp2KS5cuKcTt7e3RtGlTODg4wMzMDGlpaYiOjsaVK1cQEREhyPPu3Tt4eHjgyJEjMDAwUKmGa9euwd3dPc/H0FlYWKBVq1awt7dHuXLlIJPJEBMTg1u3buHu3bvy9/nq1avo3r073r9/r9L4pV1SUhJGjBiB+/fvi+7X19dHgwYN4OzsjPLly0NfXx9JSUl4+vQprl69Krp6flRUFNzc3LB7925YW1srVUdoaCg8PT1FJ5AZGxujSZMmqFGjBqytrWFkZITU1FS8ePECd+/eRVhYmOD7+e7du3B1dcXWrVtRq1Yt0TGdnZ0Fn+PZ2dl4+/at4FiJRIKyZcvm+xpq1qxZ0MvUGgsLC0yaNAnz5s0T7Fu1ahV69OgheJLJ4cOHBZOkypcvDw8PD63WFhISgilTpohOtJFIJKhfvz6cnZ1Rrlw5GBsbIz4+HtHR0QgNDRV8pslkMmzfvh0PHz5EQECA2k+UyC0qKgo//vijWpNUCsPSpUuxZ88ehZiRkRHWrVuHpk2bFlNVRERERERERERERERERFTcypQpk+ff88VMmjRJYcG4AQMGYOXKlYVRGn1i27ZtgifTA4Cbm1uhjGdtbY1Vq1bhp59+wsGDB3H58mU8evQIycnJMDAwQIUKFVC/fn307NkTHTp0EO3Tev78OZYsWSLfHjFihGCiQmJiIjw8PBQW/WvdujU2bNiAMmXKyGMODg4YO3Ys+vbti2HDhsl7Ez72Cx0/fhzGxsba/jIQEVEpweb/IrZjxw4sWrRIEDcxMYGHhwcGDhyY5+zTjIwMHD9+HMuXLxc0jx45cgQymQz+/v4a1/js2TPRxn9bW1s0adIE9vb2AD6sDh4fH4/y5cvnm+9jg3hCQoJgX/v27TFx4sQ8G02BD43Z/v7+CA0NVYjHxsZi6NCh2Ldvn7wmdR06dAhbt25FSkqKPNatWzeMGTMGtWvXFj0nOzsb+/fvx6JFiwTN0devX8fJkyfzbIifNWsWZs2aJYhv27YNixcvVojZ2Njg4sWLqr4kgczMTIwaNQo3b94U7KtRowa8vLzQsmVL6Orqip4fGxuLjRs3YteuXQpPmpBKpZg4cSLWrFmDdu3aaVxnfhISEjBy5EjRxv/y5cvD09MTffr0yfPm9/379wgODsby5cuRnJyssO/mzZtYv349Jk2apHZ9Z8+exZQpUxS+P1u1agUPD488ZyXLZDKcOHECs2bNEjx94Pnz59i1a5fgEWL5efz4MUaPHi3a+O/g4IBp06bBxcUF+vr6oudHRUXht99+w/79+yGTyRS+J+jD5/CYMWNEf1FQpkwZuLu7Y9CgQbCwsBA9Pzs7GyEhIViyZImgiT4iIgI+Pj7w9fUtsI6EhAT8/PPPgsb/smXLYvz48ejbt2++/wiMjo7G9u3bsXPnToUcb9++xYgRIxAcHCw6qejgwYOi+caNG4eTJ08qxLp3766Vn0naNGjQIOzduxdhYWEK8fj4eKxbtw7Tpk2TxzIyMrBixQpBDi8vL6011APAiRMnMHnyZMHEL319ffz4448YNmxYnhO8srKycO7cOSxbtkwwiejKlSsYPXo0tm7dmuf3u7Li4+Ph5uYmaPy3tLREs2bNUKVKFejq6iI9PR1v3ryBg4ODRuMV5Ndff8XmzZsVYoaGhggICECLFi0KdewvhY6ODqpUqVLcZRARERERkZpyT24nIvocFPS3JiIiIqKC8H6C6PPx/v17bN26VRC3srJC7969C3VsR0dHhd4AZclkMkydOlXej1O1alXMmDFDcJy/vz9iYmLk2w4ODoLG/0/Z2tpiy5Yt6Nq1K+Lj4wF86P3ZuHEjJkyYoHKdRET0ZWDzfxG6cuUKfHx8BHEnJyesXbsWdnZ2+Z5vZGSEPn36oH379pg+fTpOnz6tsP/o0aOoXbs23N3d1a7x2rVruHLlikLjf4MGDTB+/Hi0atUKEolEpXxpaWnw9PQUNP4bGBjA19cXXbt2LTBHnTp1sHnzZvz++++YO3euQoPkmzdvMGHCBOzevRuGhoYq1fapNWvWyP+/cuXKWLx4cYErB+vq6mLQoEHyVaBzr6K9Z88elVfDNzc3F8RUXfU9L3PnzhVt/Hd3d8ekSZMKfGpExYoVMXv2bPTq1Qtjx45VeE+zsrIwbdo07N+/v1CbPmfOnCm6Sn6vXr0wb968AhtyDQ0NMWjQILRq1Qo//PCDws02AGzZsgXff/+92r8U+LQZtWzZspg3bx46d+6c7zkSiQSdO3eGvb09Bg8ejMzMTIX9e/fuVbr5//3795g8eTJSU1MF+4YOHYrp06cXeD1VrlwZCxcuhKurK2bOnIknT54oNfaXwtfXV/T7qFWrVvD19S1wpXtdXV10794dLVu2xPDhwwVN6H/++SdGjBgBJyenfPOsW7dOMEGrdu3aCAwMVOr6tbe3x4wZM/Dtt99ixowZePjwoXxfQkICvLy8sG3btgLzfFSYn13apKOjg1mzZmHIkCGCfdu3b8fgwYNRuXJlAMCmTZvw8uVLhWMaN26Mb7/9Vmv1PH78GF5eXoLGf3t7e6xfvx41atTI93w9PT106NABrVu3xqJFi7B3716F/deuXcOiRYtEn3agrEePHuHHH39EZGSkPFa9enVMmDABHTt21NoTh5S1ceNGrF27ViFmYGCANWvWoFWrVkVaS2lmbGwMt5Eji7sMIiIiIiIiIvqC5F7sgYiIiEhVvJ8g+nwEBwfjzZs3gvjAgQNhZGRUDBUVbMeOHbh06RKAD70+vr6+gkUZ37x5gx07dijEFixYkGfj/0d2dnaYNm0a/ve//8lj69evh7u7e4n9ehARUfHSKe4CvhSpqamYPn26oMGvVq1a2LJlS4GN/58qU6YMVq1ahbZt2wr2rVq1SqNm3aioKMTGxgIATE1N4e3tjd27d6N169YqN/4DwIoVKxSaSoEPqxmvWbNGqcb/Tw0YMAA+Pj7Q0VG8bO/fv4+AgACVaxPTs2dPHD58uMDG/0+1a9cOHTp0EMSvXbsmaOQuLidPnhRdsdvDwwNTp05VqXnzm2++wZYtWwRPqHj37h1mzpypca15OXfuHM6cOSOIe3h4wNfXV6WVuCtVqoR169YJnnKQkZGBEydOaFxry5Yt8eeffxbY+P8pZ2dnfPfdd4L406dP5d+TBQkMDBR8vwHAyJEjMXv2bJWasevXr4+9e/eiZcuWSp9TFJKTk4vtaQSPHj1CUFCQIN6nTx9s3LixwMb/T1laWiIwMFBw3cpkMvz555/5npuVlYXg4GCFmIGBAdauXavyxJU6depg9+7dCk9f0dfXR506dVTK8zlp3LgxevToIYhnZmbKn7rw6tUrbNy4UWG/rq4uZs+erbU6cnJy4OXlJXhKh52dHbZt21Zg4/+nDA0NMX/+fAwaNEiwb/fu3fJfQKjj7du3ePToEYAP18aUKVMQHByMrl27Fnnjf1BQkODJGPr6+li9ejXatGlTpLUQEREREREREREREREREZF6cjfIf/T9998XcSXKiY6OxqJFi+TbQ4cOFV2c7vfff1foFatXr55oT5mYwYMHo0KFCvLtxMRE/PXXXxpUTUREpRmb/4tIQECAYAVhY2NjrFmzRtBErQwDAwP4+fkp/NAHAKlUqnCzoS5LS0ts27YNAwcOVKvpHwD+++8/7Nq1SxCfOHEiXFxc1MrZu3dvDB06VBDfvHkzoqKi1MoJfGjq/OWXX+Dn56dSE/lHffr0EcTS09MRFxendk3akpGRgcWLFwviLi4umDRpklo5a9WqJXqdXb9+vcDGZXXVrl0bY8eOVXiywODBgzV6Dd27dxfEz507p26JAD48SWHTpk0qNYJ/JHYdARB92kFur1+/Fl3JoGXLlvDy8lK5FuDDau4bNmxQqQm5sL179w6NGjVCzZo11f6vdu3aak3yqFixIiZOnKjQKN+2bVvRSUnKKF++PH744QdB/Pz58/meFxYWhuTkZIVYu3btYG9vr3INAGBmZobAwEBUq1YNXbt2xbFjx9R6xN3nxMvLCyYmJoJ4SEgIzp49i8WLFwua8gcNGqTw3mtqz549uH//vkJMR0cHK1askD99QBUSiQRz586Fs7OzYN+iRYuQlZWldq3Ah6cPrV27FqNHj4a+vr5GudRx6NAheHt7K8T09fXznAxJREREREREREREREREREQlz71793Dz5k1BvFmzZqhevXoxVFQwLy8v+UKV9vb2mDVrluhxISEhCtu9e/dWegx9fX3BQoYnT55UsVIiIvpSsPm/CCQmJoquFv3TTz+p1eD3kZmZGebMmSOIh4aG4u7du2rnNTIywrZt21C3bl21cwAfHj+Uu9mwdu3aGDFihEZ5J02ahIoVKyrEMjMzsWXLFrVzent7Y9iwYWqfn9fXKiEhQe2c2nLo0CFER0crxExMTDBv3jyN8nbs2BGdOnUSxAMDAzXKm5fy5ctj8uTJCAkJQXBwMObNm6fxKtxis2uVabTPy7hx4zB16lS1GsEBoGbNmqJNtW/fvi3w3F27dgmalY2NjbFgwQK1avlIT09PrQlKJVlOTo7ge0IZZmZm8PDwwOHDhxESEoI5c+bAz89P7fcbEL8Gnz9/nu85YrVXrVpV7RoAwNbWFn/99RdWrVqFKlWqaJTrc1ChQgWMHj1adN+YMWMEs+ctLS0xceJErY2flZWF3377TRD//vvvUb9+fbXz6urqwtvbW/BUk8ePH2v0SwEdHR2sXr1a7Yl7mvrrr7/wyy+/QCaTyWN6enrw9/dXepUEIiIiIiIiIiIiIiIiIiIqfjt37hSNl9RV//fs2YOzZ8/Kt5ctWwYzMzPBcRkZGbh165ZCrH379iqNlXvhuytXrqh0PhERfTnY/F8E9u3bh/T0dIWYhYUFhgwZonHuDh06iK7KndeNkjI8PT01Xt345cuX+PvvvwXx0aNHQ09PT6Pcpqamoo36hw4dks+yVFWlSpU0qsna2lo0npGRoVFebdi+fbsg1rt3b9jZ2Wmce+zYsYLYw4cPC/3ms3bt2vjuu+80vpY+fYrAR/Hx8Wrn0/Q60tXVFW20L+g6ys7OxoEDBwTxb7/9VqMJRpQ3BwcHDBkyRPQfdKrmyU0qlSIpKSnPc7KzswWx3E+WoYKNHDlS6e+PyZMna3USTEhIiOA909XVzXNCgiqcnZ3Rpk0bQVyT+4IBAwaI5iwKZ86cwbRp0xSue11dXSxfvhydO3culpqIiIiIiIiIiIiIiIiIiEh1qampOHTokCBuamoqWPW+JHj58iXmz58v3x44cGCeT6aPiIiAVCqVbxsaGsLR0VGl8XL36718+RKpqakq5SAioi8Dm/+LwNGjRwWxXr16wdDQUCv5+/fvL4idPHlSsOq+MnR0dDBw4ECNazp+/LhgfCsrK3Ts2FHj3ADQp08fwQrpaWlpOH/+vFbyq8rAwKBYxi1IWFgYnj59Kohr4z0GgDp16ohOFDl+/LhW8hc2c3NzQUzdCSTaos61dPv2bcTFxQniAwYM0EZJVIjKlCkjGs/vOixXrpwgduLECbx48UJrdX0JDAwM8L///a/A45ycnLT2mfmR2H2Bi4sLbG1ttZLf1dVVELt27RrevHmjVr7vvvtO05LUcvnyZUycOFHhFyS6urrw9fVFt27diqUmIiIiIiIiIiIiIiIiIiJSzx9//CHaD9GtWzcYGxsXQ0X5mz59OpKTkwEAtra2mDdvXp7H5u7ZsLe3h66urkrj2dnZCfqGoqOjVcpBRERfBs2WzaYCxcXFITw8XBDX5mq1nTt3ho+Pj0IsJSUF169fR7NmzVTKVa5cOVhZWWlc07lz5wSxdu3aaa1J3traGg0bNsQ///yjED9//jy6d++ulTFKg08fO/WRvb09nJyctDZGp06dBNd4cU3CUJVMJivuErTi0qVLgpitrS3q1atXDNWUfDo6OihfvnxxlwEg72swv2uzbt260NfXV2iITk9Px8iRI7F27VpUr15d63WWVh07dkTr1q1x8eJF0f0SiQSzZ8+Gjo725kpmZmbi8uXLgrg27wtcXFxgYGCAzMxMeUwmk+H8+fPo16+fyvmK45q6fv06PD098f79e4W4u7t7iVzxobRJiU/B4sYzi7sMIiIiIiIiIiIiIiIiEmFZqSy8Lswt7jKIVPb777+LxsUWuCtuBw4cwMmTJ+XbPj4+sLCwyPP43Cv0iy1IqgxTU1OFv/UX9yKmRERUMrH5v5DduHFDENPR0YGzs7PWxrCzs0PZsmURHx+vEL99+7bKzf+5V9NXh0wmw61btwTxOnXqaJw7d77czf9i437Jbt68KYjVrVtXq2OI5YuOjsbr169hY2Oj1bE0kZ6ejsTERCQlJeHt27d4+/Ytzpw5U9xlacXt27cFMW1/v5UUZcqUwZkzZ2BmZlbcpagsMzMTb9++RWJiovy/69evq5zHxMQEPXr0QHBwsEI8IiICffr0Qa9evTB48GBO/lDSzJkz0atXL9Gn5bRu3RoNGzbU6njh4eFIS0sTxLX52ayvr4+aNWvi7t27CvFbt26p1fyvjXsDVdy/fx9jxowR/TqFhYUVaS1fKllODuKfq/ekCCIiIiIiIiIiIiIiIiKi3KKionD16lVBvHz58mjVqlUxVJS3169fY86cOfLtPn36oEuXLvmek7vnwNDQUK2xjYyM8s1LREQEsPm/0D1+/FgQc3BwgKmpqVbHcXJywoULFxRiT5480eoYyoqOjhZt2CuM5v/coqKiIJVKi7xRsaQSu/60OfEkv3xPnjwp0ub/Fy9e4MaNG3j06BEePXqE6OhopKamyv/7dJX00ubZs2eCWGlt/jc3Ny+xjf+vX7/Gv//+i8ePH+PRo0eIjIxESkqK/Br8dGa2piZNmoSzZ88iMTFRIS6VSnHgwAEcOHAAdnZ2aNeuHVxcXNC8eXO1/2FZ2jk6OqJLly44evSoYJ+2Py8B8c9lY2NjVKtWTavjODs7C5r/nz59qtUxCsOjR4/g5uaGd+/eie4/d+4czp49i7Zt2xZtYURERERERERERERERERUKkkkkuIu4Yuwf/9+yGQyQbx79+7Q0dEphoryNnPmTHk/Rrly5eDt7V3gOcbGxgrbuZ8EoKzc55mYmKiVh4iISjc2/xeyqKgoQaxcuXJaH0cs54sXL7Q+jjLEXjOg/dddtmxZQSwrKwsvX75E5cqVtTrW5yg7OxsxMTGCuLYb8q2trSGRSAQ36EVx/SUmJuL333/H8ePHce/evUIfryTKyckRfZ/Lly9fDNV8edLT03Hw4EEcP34c165dQ05OTpGMW7FiRaxevRqenp55NknHxMQgKCgIQUFBMDY2RvPmzdGuXTu0bdsWtra2RVLn58LBwUE0rqen/dsksZ+R1tbWWv9lRkm6L1BWREQERowYIZjUktuiRYvQsmVLGBgYFFFlRERERERERERERERERFRa1ahRQ6HvpUKFCsVcUel04MAB0XjPnj2LuJL8/fHHHzh27Jh829vbG9bW1gWeZ2VlpbBd0N+9xWRlZQma/3PnJSIiAtj8X+hSUlIEMXNzc62PI7YSttjYRSGvmYvaft155Suu113SpKamis6Y1fb7oKOjA1NTU8HXvTDfh8zMTOzcuRPr1q1DcnKy0udZWVmhUqVKqFy5MipVqoRHjx7hzJkzhVZnUUhNTUV2drYgXhifM/T/5OTk4NChQ1i5ciVevXql9HllypRBpUqV5P/Fx8fj8OHDatXQtGlT7N27F7Nnz8b169fzPTY9PR1nzpyRX++1a9dGu3bt0KlTJzg5Oak1fmlSlCs5FNV9gVjOkvzzMSYmBiNGjMDr16/lMYlEgkaNGuHatWsKx0ZGRmLjxo3w9PQs6jKJiIiIiIiIiIiIiIiIqJTx8PCAh4dHcZdRqt25cwfPnj0TxG1sbNCsWbNiqEhcQkICZs2aJd/u1q0bevXqpdS5VatWVdiOiYlBamoqTE1NlR7/6dOnCj1AhoaGqFixotLnExHRl4PN/4UsLS1NEFPlh7qyxHKKjV0U8mr+1/brziufuo9NKm3yev8L6/rL3VRaWNdfdHQ0xo0bh7CwMNH9VapUgYuLC2rXro1q1aqhYsWKMDExgYmJiWAV7+fPn3/2zf95fZ3Z/F94EhMTMXnyZFy6dEl0f/ny5dG2bVvUqVMH1apVg729vfwazL1SeVZWltrN/wDg6OiIXbt24dSpU9ixYweuXLkiOuknt7CwMISFhSEgIAAODg4YNmwYXF1dYWhoqHYtpJwv8b6gIHFxcRg+fLjCU0wkEgm8vb3Rp08f9OrVC0+fPlU457fffkOfPn1gZ2dX1OUSEREREREREREREREREZEKjh49Khpv3749dHR0iriavM2aNQvx8fEAAEtLSyxevFjpc+3s7FC2bFn5+TKZDHfu3EGLFi2UznHnzh2F7dq1a5eorw8REZUcbP4vZLkbPYHCab5LT08XxIyMjLQ+jjLEXjPw4XVrsyFZ7DUDxfe6S5q83ofCmBxRVNdfTEwMhg4dqtAg+lH79u3h6emJunXrKp1PV1dXm+WVKFKptLhLKJWSk5Px448/Ijw8XLCvadOm8PT0RPPmzZVeST73hBR1dejQAR06dEBcXBzOnj2Ls2fP4sqVK0r9vImIiMCCBQuwfft2LFq0CI0bN9ZKTSSuqO4LxHKW1MkdAwYMQFxcnHxbIpFg3rx5GDBgAADgf//7H0aPHq1wTkZGBnx8fLB69eoirZWIiIiIiIiIiIiIiIiIiFRz/Phx0XiHDh2KuJK8hYSEKCzeOG/ePJQvX16lHC1btsSff/4p3/7rr79Uav4PCQlR2G7VqpVK4xMR0ZeDU8MKmdjKu+/evdP6OGI5C2MlYWXkNa62X3de+YrrdZc0eX0dcq/QrymZTCaaU9vvQ1ZWFsaPHy9o/DczM8PatWuxbt06lRr/SwsTExPReGF8ztCHJuTcjf/6+vqYP38+duzYgRYtWijd+F8YbG1tMWjQIKxbtw5Xr17Ftm3bMGrUKNSqVavAuiIiIjB8+HAcO3asiKr9Mn2J9wUF+bTxHwBmz56NwYMHy7ddXFzg4uIiOO/vv/9GaGhooddHRERERERERERERERERETqefjwIR4/fiyI6+vro02bNsVQkVBiYiJmzJgh327fvr18sTpV9OnTR2E7ODhY6cUAX758idOnTyvEevfurXINRET0ZWDzfyETmwGYkJCg9XHevn0riNna2mp9HGXkNevx42ONtEXs6yiRSFSedVlaGRoawsLCQhDX9vuQmJiInJwcQbxChQpaHWfPnj24f/++QkxfXx+bNm1Cx44dtTrW58TExET0EV/JycnFUE3pdubMGZw6dUoQ9/f3V2hULin09fXRvHlzTJs2DYcPH8aFCxfg4+ODjh075rkCvFQqhZeXl+BRcqQ9ed0XyGQyrY4jdl+g7c/lwjBz5kwMGTJEEJ8xYwb09fUFcW9vbz7phIiIiIiIiIiIiIiIiIg+O9nZ2Xn+rTM9Pb1QxpTJZMjIyCjSMf/66y/ReL169WBubl4oY6pq7ty58kXrzM3NsXTpUrXydOzYEZUqVZJvx8fH47ffflPqXH9/f4X3pkmTJnB2dlarDiIiKv3Y/F/I1K3+yQAAIABJREFUHB0dBbGnT59q/YYpLCxMEPv666+1OoayvvrqK+jq6griDx480Oo4Yq/Zzs6uxK5sXByqVasmiGn7fci9CvpH1atX1+o4W7ZsEcTGjh2L+vXra3Wcz42uri4qVqwoiD99+rQYqindxK7Bfv36oXPnzsVQjepsbGzQr18/rF27FhcuXMD06dNhbW0tOE4qlWL+/PnFUOGXQey+IC0tDREREVodpyTdFyhr+vTp+PHHH0X3ffXVVxg6dKgg/uzZM2zdurWQKyMiIiIiIiIiIiIiIiIiUk3jxo1hb2+f539VqlQRPCX9o3bt2uV5XtWqVXH27FnR8/r27ZvvmJUqVcLNmzdFzx02bFi+5+3atUutr8OZM2dE482bN1crn7adOnUK+/fvl2/Pnj0bdnZ2auXS09ODl5eXQmzlypW4fPlyvucdPnwYQUFB8m2JRKLwJAIiIqLc2PxfyMRm4GVnZwtWMNdEQkICXr58KYjXqVNHa2OowtDQULS5UdsrSYs1sRfXay6pxL4e2n4fxK5la2trtW+ExYSHh+PFixcKMT09vRK52npxqFq1qiB27969Yqik9EpKSsK1a9cEcbEVyj8HFhYWcHNzw9GjR9GiRQvB/nv37uHWrVvFUFnpV7t2bUgkEkFcm5/NOTk5os3/Jfln5JQpU+Dm5pbvMePGjUPZsmUF8YCAgDx/KUZEREREREREREREREREVBxiY2MLJW9WVlaefx+NiYkplDFlMplar+fdu3d5TjZo0qSJpmVp7N27d5g+fbp8u3Xr1hr3gfTv3x9du3aVb2dlZeGHH37Avn37IJPJFI6VSqVYv349fvrpJ4W4m5sbmjVrplEdRERUurH5v5A5OTmhXLlygvipU6e0NobYDElDQ8NivQn4v//7P0Hs3LlzyMrK0kr+1NRU/Pvvv4K4i4uLVvKXFmLvQ2RkJB49eqS1McRmE7dp00a0uVVdYhM9KlasKPq9pYrXr19rdH5JUa9ePUEsLCwMqampWsmfmZmplTyfs/DwcGRnZyvE9PX14eTkpFHeV69eaXS+pqytrbFu3TrY29sL9v3zzz/FUFHpZ21tLdqEr837gqtXryItLU0Qb9OmjdbG0KaxY8di9OjRBR5nbm6OyZMnC+JpaWlqP3aRiIiIiIiIiIiIiIiIiIgKx6VLl/LsFRNbULeoLViwQD6pwcTEBMuXL9dK3lWrVqFhw4by7fT0dEyePBmtWrXC1KlT4ePjg4kTJ6Jp06bw9vZW+Bp16tQJs2fP1kodRERUerH5v5BJJBJ06NBBEA8ODoZUKtXKGAcPHhTEXFxcYGxsrJX86ujUqZMg9vr16zwfO6Wqv/76S9DYaGBggHbt2mklf2nRrFkzmJubC+L79u3TSv7IyEjR1dC7dOmilfwfvXnzRhDTtPEfQIGP1fpciD0KLSMjA0eOHNE4d05ODp49e6Zxns+d2DVoaWkJHR3NfoyWhGvQ2NgYffv2FcTFnihD2iH2M/L06dNISEjQSn6x+wJnZ2dUrlxZK/m1zd3dXelj+/fvL/pLoKNHj3LCChERERERERERERERERFRCXL+/HnRuKWlJezs7Iq4GkUXLlzArl275NszZszQ2t/UzczMsGfPHkEvxvPnz7F7926sWbMG+/fvFywY6ebmhg0bNkBfX18rdRARUenF5v8iIPY4oISEBK00YN++fVu0+XrYsGEa59ZEgwYNRJvzAgMDkZOTo1HurKwsbNu2TRDv2bMnrK2tNcpdEuVebVwVRkZGcHV1FcQPHTqklRXHN2/eLHgkVZUqVdC2bVuNcxckKSlJo/OTk5MRFBSkpWqKV6NGjUSv/V27dmn8/Xb27FmNv9al1bt37zQ6XyqVYuPGjSqfl5CQgPnz52PIkCFIT0/XqIaPypYtK4hp+vQOTT67SrsBAwbAwMBAIabu9ZBbdHQ0QkJCBPHivi/Ij5mZmdLH6ujoYObMmaL7Fi5cqLUnDBERERERERE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" ] }, "metadata": {}, @@ -577,291 +338,12 @@ } ], "source": [ - "ind = np.arange(4)\n", - "\n", - "fig, ax = plt.subplots()\n", - "fig.set_size_inches(6.1, 4.1)\n", - "ax.grid(color='k', linestyle='-', linewidth=0.25)\n", - "\n", - "p1 = ax.barh(ind+0.4, district['count1'], 0.4, align='center', color = grey)\n", - "p2 = ax.barh(ind, district['count2'], 0.4, align='center', color = purple)\n", - "ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))\n", - "\n", - "ax.xaxis.grid(True)\n", - "ax.yaxis.grid(False)\n", - "ax.set_yticks(ind+0.4/2)\n", - "ax.set_xlim(0,100000)\n", - "ax.set_yticklabels(district['area_name'])\n", - "ax.set_xlabel('Average Trips Per Day', horizontalalignment='left', x=0, labelpad=10, fontname = 'Libre Franklin', fontsize=10, fontweight = 'bold')\n", - "\n", - "ax.set_facecolor('xkcd:white')\n", - "j=0\n", - "for i in district['count2']:\n", - " if i < 10000:\n", - " ax.annotate(str(format(int(round(i,-1)), ',')), xy=(i-0.015*100000, j-0.05), ha = 'right', color = 'w', fontname = 'Libre Franklin', fontsize=10)\n", - " else:\n", - " ax.annotate(str(format(int(round(i,-1)), ',')), xy=(i-0.015*100000, j-0.05), ha = 'right', color = 'w', fontname = 'Libre Franklin', fontsize=10)\n", - " j=j+1\n", - "j=0.4\n", - "for i in district['count1']:\n", - " if i < 9000:\n", - " ax.annotate(str(format(int(round(i,-1)), ',')), xy=(i+1000, j-0.05), color = 'k', fontname = 'Libre Franklin', fontsize=10)\n", - "\n", - " elif i < 10000:\n", - " ax.annotate(str(format(int(round(i,-1)), ',')), xy=(i-8800, j-0.05), color = 'w', fontname = 'Libre Franklin', fontsize=10) \n", - " else:\n", - " ax.annotate(str(format(int(round(i,-1)), ',')), xy=(i-11000, j-0.05), color = 'w', fontname = 'Libre Franklin', fontsize=10)\n", - " j=j+1\n", - "j=0.15\n", - "for index, row in district.iterrows():\n", - " ax.annotate('+'+str(format(int(round(row['yoy_growth'],0)), ','))+'%', xy=(row['count2']+2000, j), color = 'k', fontname = 'Libre Franklin', fontsize=10)\n", - " j=j+1\n", - "ax.legend((p1[0], p2[0]), ('Oct 2016', 'Sept 2018'), loc=4, frameon=False, prop=leg_font)\n", - "plt.xticks(range(0,110000,20000), fontname = 'Libre Franklin', fontsize =10)\n", - "plt.yticks( fontname = 'Libre Franklin', fontsize =10)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 424, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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period_namecount1count2
0Weekday Overnight1088.2222223580.000000
1Weekend Overnight3000.6666675475.300000
2Weekday Midday2518.1111117357.684211
3Weekday Night3680.7142868509.600000
4Weekend Midday3970.1666679419.000000
5Weekday Commuter3808.2777789711.157895
6Friday/Saturday Night6685.28571412691.555556
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" - ], - "text/plain": [ - " period_name count1 count2\n", - "0 Weekday Overnight 1088.222222 3580.000000\n", - "1 Weekend Overnight 3000.666667 5475.300000\n", - "2 Weekday Midday 2518.111111 7357.684211\n", - "3 Weekday Night 3680.714286 8509.600000\n", - "4 Weekend Midday 3970.166667 9419.000000\n", - "5 Weekday Commuter 3808.277778 9711.157895\n", - "6 Friday/Saturday Night 6685.285714 12691.555556" - ] - }, - "execution_count": 424, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "query = '''\n", - "\n", - "WITH sum AS (\n", - "SELECT period_uid, hr, CASE WHEN pickup_datetime < '2016-10-01' THEN 1 WHEN pickup_datetime > '2018-08-31' THEN 2 \n", - "ELSE NULL END AS yr_period,\n", - "sum(count) as count FROM ptc.trip_data_agg_ward_25\n", - "LEFT JOIN ptc.period_lookup_simple ON hr=period_hr and extract(dow from pickup_datetime)=period_dow\n", - "LEFT JOIN ref.holiday ON dt=pickup_datetime\n", - "WHERE period_uid IS NOT NULL\n", - "AND holiday IS NULL\n", - "AND pickup_datetime NOT IN ('2016-12-31', '2017-01-01', '2017-01-02', '2017-12-31', '2018-01-01', '2018-01-02')\n", - "GROUP BY period_uid, hr, pickup_datetime\n", - "ORDER BY period_uid\n", - "), avg_hr AS (\n", - "SELECT avg(count) as count, period_uid, yr_period, hr\n", - "FROM sum\n", - "GROUP BY period_uid, yr_period, hr\n", - "\n", - "), count18 as (\n", - "SELECT period_name, max(count) as count, swatch from avg_hr\n", - "LEFT JOIN ptc.periods_simple USING (period_uid)\n", - "WHERE yr_period=2\n", - "GROUP BY period_name, swatch, period_uid\n", - "ORDER BY count ASC\n", - "), count16 AS (\n", - "SELECT period_name, max(count) as count, swatch from avg_hr\n", - "LEFT JOIN ptc.periods_simple USING (period_uid)\n", - "WHERE yr_period =1\n", - "GROUP BY period_name, swatch, period_uid\n", - "ORDER BY count ASC\n", - ")\n", - "SELECT period_name, a.count as count1, b.count as count2 from count16 a\n", - "LEFT JOIN count18 b USING (period_name)\n", - "ORDER BY count2 ASC\n", - "\n", - "'''\n", - "wait_mon=pandasql.read_sql(query, con)\n", - "wait_mon" - ] - }, - { - "cell_type": "code", - "execution_count": 439, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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namevalues1values2percent
0Scarborough464513813197.373520
1Etobicoke York721220690186.882973
2North York949424715160.322309
3Toronto and East York4308993547117.101813
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" - ], - "text/plain": [ - " name values1 values2 percent\n", - "0 Scarborough 4645 13813 197.373520\n", - "1 Etobicoke York 7212 20690 186.882973\n", - "2 North York 9494 24715 160.322309\n", - "3 Toronto and East York 43089 93547 117.101813" - ] - }, - "execution_count": 439, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "district_cond" - ] - }, - { - "cell_type": "code", - "execution_count": 488, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 488, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "importlib.reload(rick)" + "fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)" ] }, { "cell_type": "code", - "execution_count": 489, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -875,7 +357,7 @@ }, { "cell_type": "code", - "execution_count": 490, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -930,7 +412,7 @@ "0 PTC 22" ] }, - "execution_count": 490, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -941,7 +423,7 @@ }, { "cell_type": "code", - "execution_count": 491, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -961,7 +443,7 @@ }, { "cell_type": "code", - "execution_count": 492, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -1016,7 +498,7 @@ "0 PTC 22" ] }, - "execution_count": 492, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1024,13 +506,6 @@ "source": [ "transit_pass" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/charts/rick.py b/charts/rick.py index a3a204a..90fb4d5 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -14,6 +14,7 @@ import geopandas as gpd import os import shapely +import seaborn as sns from shapely.geometry import Point import matplotlib.font_manager as font_manager import numpy as np @@ -29,6 +30,8 @@ class font: class colour: purple = '#660159' grey = '#7f7e7e' + light_grey = '#777777' + class geo: def ttc(con): @@ -67,8 +70,14 @@ def island(con): class charts: + global func + def func(): + sns.set(font_scale=1.5) + mpl.rc('font',family='Libre Franklin') + def chloro_map(con, df, lower, upper, title, **kwargs): + func() subway = kwargs.get('subway', False) island = kwargs.get('island', True) cmap = kwargs.get('cmap', 'YlOrRd') @@ -139,6 +148,7 @@ def chloro_map(con, df, lower, upper, title, **kwargs): def line_chart(data, ylab, xlab, **kwargs): + func() ymax = kwargs.get('ymax', int(data.max())) ymin = kwargs.get('ymin', 0) baseline = kwargs.get('baseline', None) @@ -179,6 +189,7 @@ def line_chart(data, ylab, xlab, **kwargs): def tow_chart(data, ylab, **kwargs): + func() ymax = kwargs.get('ymax', None) ymin = kwargs.get('ymin', 0) @@ -217,12 +228,12 @@ def tow_chart(data, ylab, **kwargs): ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) - plt.yticks(range(ymin,upper+int(0.1*yinc), yinc), fontsize =9, fontname = font.normal + plt.yticks(range(ymin,upper+int(0.1*yinc), yinc), fontsize =9, fontname = font.normal) ax.set_xticks(range(0,180,12)) ax.set_xticklabels(['0','12','0','12', '0','12','0','12', - '0','12','0','12','0','12'], fontname = font.normal, fontsize = 7, color = '#777777') + '0','12','0','12','0','12'], fontname = font.normal, fontsize = 7, color = colour.light_grey) ax.xaxis.set_minor_locator(ticker.FixedLocator(list(range(12,180,24)))) ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['Monday','Tuesday', @@ -236,7 +247,8 @@ def tow_chart(data, ylab, **kwargs): return fig, ax def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): - + + func() data = data_in.copy(deep=True) data.columns = ['name', 'values1', 'values2'] @@ -320,6 +332,7 @@ def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): def bar_chart(data_in, xlab,**kwargs): + func() data = data_in.copy(deep=True) data.columns = ['name', 'values1'] diff --git a/charts/setup.py b/charts/setup.py index 72aa82c..b6a7cd8 100644 --- a/charts/setup.py +++ b/charts/setup.py @@ -10,7 +10,8 @@ 'psycopg2', 'geopandas', 'pandas', - 'shapely' + 'shapely', + 'seaborn' ], python_requires='>=3' ) \ No newline at end of file From 59f9d33ec56393da48e828adebfff4ca04f3a6ca Mon Sep 17 00:00:00 2001 From: rickl4 <38917106+rickl4@users.noreply.github.com> Date: Fri, 19 Jul 2019 11:52:36 -0400 Subject: [PATCH 19/31] First draft of the html for the documentation --- charts/Makefile | 20 + charts/_build/doctrees/code.doctree | Bin 0 -> 74699 bytes charts/_build/doctrees/environment.pickle | Bin 0 -> 35243 bytes charts/_build/doctrees/index.doctree | Bin 0 -> 6396 bytes charts/_build/html/.buildinfo | 4 + charts/_build/html/_modules/index.html | 73 + charts/_build/html/_modules/rick.html | 665 + charts/_build/html/_sources/code.rst.txt | 5 + charts/_build/html/_sources/index.rst.txt | 24 + charts/_build/html/_static/alabaster.css | 693 ++ charts/_build/html/_static/basic.css | 763 ++ charts/_build/html/_static/custom.css | 1 + charts/_build/html/_static/doctools.js | 314 + .../html/_static/documentation_options.js | 10 + charts/_build/html/_static/file.png | Bin 0 -> 286 bytes charts/_build/html/_static/jquery-3.2.1.js | 10253 ++++++++++++++++ charts/_build/html/_static/jquery.js | 4 + charts/_build/html/_static/language_data.js | 297 + charts/_build/html/_static/minus.png | Bin 0 -> 90 bytes charts/_build/html/_static/plus.png | Bin 0 -> 90 bytes charts/_build/html/_static/pygments.css | 69 + charts/_build/html/_static/searchtools.js | 506 + .../_build/html/_static/underscore-1.3.1.js | 999 ++ charts/_build/html/_static/underscore.js | 31 + charts/_build/html/code.html | 278 + charts/_build/html/genindex.html | 173 + charts/_build/html/index.html | 94 + charts/_build/html/objects.inv | 7 + charts/_build/html/py-modindex.html | 95 + charts/_build/html/search.html | 88 + charts/_build/html/searchindex.js | 1 + charts/code.rst | 5 + charts/conf.py | 171 + charts/index.rst | 24 + charts/make.bat | 36 + charts/rick.py | 215 +- 36 files changed, 15908 insertions(+), 10 deletions(-) create mode 100644 charts/Makefile create mode 100644 charts/_build/doctrees/code.doctree create mode 100644 charts/_build/doctrees/environment.pickle create mode 100644 charts/_build/doctrees/index.doctree create mode 100644 charts/_build/html/.buildinfo create mode 100644 charts/_build/html/_modules/index.html create mode 100644 charts/_build/html/_modules/rick.html create mode 100644 charts/_build/html/_sources/code.rst.txt create mode 100644 charts/_build/html/_sources/index.rst.txt create mode 100644 charts/_build/html/_static/alabaster.css create mode 100644 charts/_build/html/_static/basic.css create mode 100644 charts/_build/html/_static/custom.css create mode 100644 charts/_build/html/_static/doctools.js create mode 100644 charts/_build/html/_static/documentation_options.js create mode 100644 charts/_build/html/_static/file.png create mode 100644 charts/_build/html/_static/jquery-3.2.1.js create mode 100644 charts/_build/html/_static/jquery.js create mode 100644 charts/_build/html/_static/language_data.js create mode 100644 charts/_build/html/_static/minus.png create mode 100644 charts/_build/html/_static/plus.png create mode 100644 charts/_build/html/_static/pygments.css create mode 100644 charts/_build/html/_static/searchtools.js create mode 100644 charts/_build/html/_static/underscore-1.3.1.js create mode 100644 charts/_build/html/_static/underscore.js create mode 100644 charts/_build/html/code.html create mode 100644 charts/_build/html/genindex.html create mode 100644 charts/_build/html/index.html create mode 100644 charts/_build/html/objects.inv create mode 100644 charts/_build/html/py-modindex.html create mode 100644 charts/_build/html/search.html create mode 100644 charts/_build/html/searchindex.js create mode 100644 charts/code.rst create mode 100644 charts/conf.py create mode 100644 charts/index.rst create mode 100644 charts/make.bat diff --git a/charts/Makefile b/charts/Makefile new file mode 100644 index 0000000..a4e06d0 --- /dev/null +++ b/charts/Makefile @@ -0,0 +1,20 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line. +SPHINXOPTS = +SPHINXBUILD = sphinx-build +SPHINXPROJ = VFHCharts +SOURCEDIR = . +BUILDDIR = _build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) \ No newline at end of file diff --git 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When it is not found, a full rebuild will be done. +config: 299412dc43e6f77c6f991a9d9ef575ba +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/charts/_build/html/_modules/index.html b/charts/_build/html/_modules/index.html new file mode 100644 index 0000000..7d334fc --- /dev/null +++ b/charts/_build/html/_modules/index.html @@ -0,0 +1,73 @@ + + + + + + + Overview: module code — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + +
+
+
+
+ +

All modules for which code is available

+ + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/_modules/rick.html b/charts/_build/html/_modules/rick.html new file mode 100644 index 0000000..9dbfd29 --- /dev/null +++ b/charts/_build/html/_modules/rick.html @@ -0,0 +1,665 @@ + + + + + + + rick — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + +
+
+
+
+ +

Source code for rick

+# -*- coding: utf-8 -*-
+"""
+Version 0.8.0 
+
+
+"""
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import matplotlib.patches as patches
+import matplotlib.ticker as ticker
+import geopandas as gpd
+import os
+import shapely
+import seaborn as sns
+from shapely.geometry import Point
+import matplotlib.font_manager as font_manager
+import numpy as np
+
+#shapely workaround for windows
+#os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+
+
[docs]class font:
+    """
+    Class defining the global font variables for all functions.
+    
+    """
+    
+    leg_font = font_manager.FontProperties(family='Libre Franklin',size=9)
+    normal = 'Libre Franklin'
+    semibold = 'Libre Franklin SemiBold'

+    
+    
+
[docs]class colour:
+    """
+    Class defining the global colour variables for all functions.
+    
+    """
+    purple = '#660159'
+    grey = '#7f7e7e'
+    light_grey = '#777777'
+    cmap = 'YlOrRd'

+    
+
[docs]class geo:
+    """
+    Class for additional gis layers needed for the cloropleth map.
+    
+    """
+    
+
[docs]    def ttc(con):
+        """Function to return the TTC subway layer.
+        
+        Parameters
+        ------------
+        con : SQL connection object
+            Connection object needed to connect to the RDS
+        
+        Returns
+        --------
+        gdf
+            Geopandas Dataframe of the Subway Layer
+        
+        """
+        query = '''
+        
+        SELECT * FROM gis.subway_to
+        
+        '''
+        ttc = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+        ttc = ttc.to_crs({'init' :'epsg:3857'})
+        
+        for index, row in ttc.iterrows():
+            rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
+            ttc.loc[index, 'geom'] = rotated  
+        
+        return ttc

+    
+
[docs]    def island(con):
+        
+        """Function to return a layer of the Toronto island. Since the island is classified in the same neighbourhood as the waterfront, in some cases its not completely accurate to show the island shares the same data as the waterfront. 
+        
+        Parameters
+        ------------
+        con : SQL connection object
+            Connection object needed to connect to the RDS
+        
+        Returns
+        --------
+        gdf
+            Geopandas Dataframe of the Toronto island.
+        
+        """
+        
+        query = '''
+
+        SELECT 
+        geom
+        FROM tts.zones_tts06
+        WHERE gta06 = 81
+
+        '''
+
+        island =  gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+        island  = island.to_crs({'init' :'epsg:3857'})
+
+        for index, row in island.iterrows():
+            rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) 
+            island.loc[index, 'geom'] = rotated
+
+        return island

+    
+
[docs]class charts:
+    """
+    Class defining all the charting functions.
+    
+    """
+    
+    global func
+    def func():
+        
+        """Function to set global settings for the charts class. 
+        
+        """
+        
+        sns.set(font_scale=1.5) 
+        mpl.rc('font',family='Libre Franklin')
+    
+
[docs]    def chloro_map(con, df, lower, upper, title, **kwargs):
+        """Creates a chloropleth map
+        
+        Parameters
+        -----------
+        con : SQL connection object
+            Connection object needed to connect to the RDS
+        df : GeoPandas Dataframe
+            Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the geom column and the second has to be the data that needs to be mapped.
+        lower : int
+            Lower bound for colourmap
+        upper : int
+            Upper bound for the colourmap
+        title : str
+            Legend label
+        subway : boolean, optional, default: False
+            True to display subway on the map
+        island : boolean, optional, defailt: True
+            False to grey out the Toronto island
+        cmap : str, optional, default: YlOrRd
+            Matplotlib colourmap to use for the map
+        unit : str, optional
+            Unit to append to the end of the legend tick
+        nbins : int, optional, defualt: 2
+            Number of ticks in the colourmap
+            
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+            
+        """
+        
+        func()
+        subway = kwargs.get('subway', False)
+        island = kwargs.get('island', True)
+        cmap = kwargs.get('cmap', colour.cmap)
+        unit = kwargs.get('unit', None)
+        nbins = kwargs.get('nbins', 2)
+        
+        df.columns = ['geom', 'values']
+        light = '#d9d9d9'
+
+        fig, ax = plt.subplots()
+        fig.set_size_inches(6.69,3.345)
+         
+        ax.set_yticklabels([])
+        ax.set_xticklabels([])
+        ax.set_axis_off()
+    
+        mpd = df.plot(column='values', ax=ax, vmin=lower, vmax=upper,  cmap = cmap, edgecolor = 'w', linewidth = 0.5)
+        
+        if island == False:
+            island_grey = geo.island(con)
+            island_grey.plot(ax=ax, edgecolor = 'w', linewidth = 4,  color = light)
+            island_grey.plot(ax=ax, edgecolor = 'w', linewidth = 0,  color = light)
+         
+        if subway == True:
+            ttc_df = geo.ttc(con)
+            line = ttc_df.plot( ax=ax, linewidth =4, color = 'w', alpha =0.6) # ttc subway layer
+            line = ttc_df.plot( ax=ax, linewidth =2, color = 'k', alpha =0.4) # ttc subway layer
+    
+         
+        props = dict(boxstyle='round', facecolor='w', alpha=0)
+        plt.text(0.775, 0.37, title, transform=ax.transAxes, wrap = True, fontsize=7, fontname = font.semibold,
+                verticalalignment='bottom', bbox=props, fontweight = 'bold') # Adding the Legend Title
+         
+        
+        cax = fig.add_axes([0.718, 0.16, 0.01, 0.22]) # Size of colorbar
+         
+        rect = patches.Rectangle((0.76, 0.01),0.235,0.43,linewidth=0.5, transform=ax.transAxes, edgecolor=light,facecolor='none')
+        ax.add_patch(rect)
+        
+        ax.margins(0.1)
+         
+        sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(vmin=lower, vmax=upper))
+        sm._A = []
+        cbr = fig.colorbar(sm, cax=cax)
+        cbr.outline.set_linewidth(0)
+        tick_locator = ticker.MaxNLocator(nbins=nbins)
+        cbr.locator = tick_locator
+        cbr.update_ticks()
+        cbr.ax.yaxis.set_tick_params(width=0.5)
+        cbr.ax.tick_params(labelsize=6)  # Formatting for Colorbar Text
+        for l in cbr.ax.yaxis.get_ticklabels():
+            l.set_family(font.normal)
+        
+        if unit is not None:
+            if 0 < upper < 10:
+                ax.text(0.829, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left') 
+            elif 10 <= upper < 100:
+                ax.text(0.839, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
+            elif 100 <= upper < 1000:
+                ax.text(0.851, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
+            elif 1000 <= upper < 100000:
+                ax.text(0.862, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
+            else:
+                pass
+            
+        
+        return fig, ax

+    
+
[docs]    def line_chart(data, ylab, xlab, **kwargs):
+        """Creates a line chart. x axis must be modified manually
+        
+        Parameters
+        -----------
+        data : array like or scalar
+            Data for the line chart.
+        ylab : str
+            Label for the y axis.
+        xlab : str
+            Label for the x axis.
+        ymax : int, optional, default is the max y value
+            The max value of the y axis
+        ymin : int, optional, default is 0
+            The minimum value of the y axis
+        baseline : array like or scalar, optional, default is None
+            Whether another line representing the baseline needs to be plotted
+        yinc : int, optional
+            The increment of ticks on the y axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+        props
+            Dictionary of the text annotation properties
+            
+        """
+        
+        func()
+        ymax = kwargs.get('ymax', int(data.max()))
+        ymin = kwargs.get('ymin', 0)
+        baseline = kwargs.get('baseline', None)
+        
+        delta = (ymax - ymin)/4
+        i = 0
+        while True:
+            delta /= 10
+            i += 1
+            if delta < 10:
+                break
+        yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i)))
+        
+        fig, ax =plt.subplots()
+        ax.plot(data ,linewidth=3, color = colour.purple)
+        ax.plot(baseline ,linewidth=3, color = colour.grey)
+
+        plt.grid()
+        ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+
+        ax.set_facecolor('xkcd:white')
+
+        plt.xlabel(xlab, fontsize=9, fontweight = 'bold', horizontalalignment='right', x=0, labelpad=10, 
+                   fontname = font.normal)
+        ax.grid(color='k', linestyle='-', linewidth=0.2)
+        plt.ylabel(ylab, fontsize=9, fontweight = 'bold', horizontalalignment='right', y=1.0, 
+                   labelpad=10, fontname = font.normal)
+        fig.set_size_inches(6.1, 4.1)
+        plt.xticks(fontsize=9, fontname = font.normal)
+        plt.yticks(range(ymin,int(4.1*yinc), yinc), fontsize =9, fontname = font.normal)
+
+        props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple, linewidth = 2, facecolor = 'w', alpha=1)
+
+        ax.set_ylim([ymin,int(4*yinc+ymin)])
+        fig.patch.set_facecolor('w')
+        
+        return fig, ax, props

+    
+
[docs]    def tow_chart(data, ylab, **kwargs):
+        """Creates a 7 day time of week line chart. Each data point represents 1 hour out of 168 hours.
+        
+        Parameters
+        -----------
+        data : array like or scalar
+            Data for the tow chart. Data must only have 168 entries, with row 0 representing Monday at midnight.
+        ylab : str
+            Label for the y axis.
+        ymax : int, optional, default is the max y value
+            The max value of the y axis
+        ymin : int, optional, default is 0
+            The minimum value of the y axis
+        yinc : int, optional
+            The increment of ticks on the y axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+        props
+            Dictionary of the text annotation properties
+            
+        """
+        func()
+        ymax = kwargs.get('ymax', None)
+        ymin = kwargs.get('ymin', 0)
+        
+        
+        ymax_flag = True
+        if ymax == None:
+            ymax = int(data.max())
+            ymax_flag = False
+        
+        delta = (ymax - ymin)/3
+        i = 0
+        while True:
+            delta /= 10
+            i += 1
+            if delta < 10:
+                break
+        yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i)))
+        
+        if ymax_flag == True:
+            upper = ymax
+        else:
+            upper = int(3*yinc+ymin)
+        
+        fig, ax =plt.subplots()
+        ax.plot(data, linewidth = 2.5, color = colour.purple)
+
+        plt.grid()
+        ax.set_facecolor('xkcd:white')
+
+        plt.xlabel('Time of week', fontname = font.normal, fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold')
+        ax.set_ylim([ymin,upper])
+
+        ax.grid(color='k', linestyle='-', linewidth=0.2)
+        plt.ylabel(ylab, fontname = font.normal, fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold')
+        fig.set_size_inches(6.1, 1.8)
+
+
+        ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+        plt.yticks(range(ymin,upper+int(0.1*yinc), yinc), fontsize =9, fontname = font.normal)
+
+        ax.set_xticks(range(0,180,12))
+        ax.set_xticklabels(['0','12','0','12',
+                                                            '0','12','0','12',
+                                         '0','12','0','12','0','12'], fontname = font.normal, fontsize = 7, color = colour.light_grey)
+
+        ax.xaxis.set_minor_locator(ticker.FixedLocator(list(range(12,180,24))))
+        ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['Monday','Tuesday',
+                                                            'Wednesday','Thursday',
+                                         'Friday','Saturday','Sunday']))
+        ax.tick_params(axis='x', which='minor', colors = 'k', labelsize=9, pad =14)
+
+        props = dict(boxstyle='round, pad=0.3',edgecolor=colour.purple, linewidth = 1.5, facecolor = 'w', alpha=1)
+
+        ax.set_xlim([0,167])
+        return fig, ax, prop

+
+
[docs]    def stacked_chart(data_in, xlab, lab1, lab2, **kwargs):
+        """Creates a stacked bar chart comparing 2 sets of data
+        
+        Parameters
+        -----------
+        data : dataframe
+            Data for the stacked bar chart. The dataframe must have 3 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data.
+        xlab : str
+            Label for the x axis.
+        lab1 : str
+            Label in the legend for the baseline
+        lab2 : str
+            Label in the legend fot the next data series
+        xmax : int, optional, default is the max s value
+            The max value of the y axis
+        xmin : int, optional, default is 0
+            The minimum value of the x axis
+        precision : int, optional, default is -1
+            Decimal places in the annotations
+        percent : boolean, optional, default is False
+            Whether the annotations should be formatted as percentages
+            
+        xinc : int, optional
+            The increment of ticks on the x axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+            
+        """
+        
+        func()
+        data = data_in.copy(deep=True)
+        
+        data.columns = ['name', 'values1', 'values2']
+        
+        xmin = kwargs.get('xmin', 0)
+        xmax = kwargs.get('xmax', None)
+        precision = kwargs.get('precision', -1)
+        percent = kwargs.get('percent', False)
+        
+        xmax_flag = True
+        if xmax == None:
+            xmax = int(max(data[['values1', 'values2']].max()))
+            xmax_flag = False
+        
+        delta = (xmax - xmin)/4
+        i = 0
+        while True:
+            delta /= 10
+            i += 1
+            if delta < 10:
+                break
+        xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i)))
+
+        if xmax_flag == True:
+            upper = xmax
+        else:
+            upper = int(4*xinc+xmin)
+        
+        ind = np.arange(len(data))
+
+        fig, ax = plt.subplots()
+        fig.set_size_inches(6.1, len(data))
+        ax.grid(color='k', linestyle='-', linewidth=0.25)
+
+        p1 = ax.barh(ind+0.4, data['values1'], 0.4, align='center', color = colour.grey)
+        p2 = ax.barh(ind, data['values2'], 0.4, align='center', color = colour.purple)
+        ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+
+        ax.xaxis.grid(True)
+        ax.yaxis.grid(False)
+        ax.set_yticks(ind+0.4/2)
+        ax.set_xlim(0,upper)
+        ax.set_yticklabels(data['name'])
+        ax.set_xlabel(xlab,  horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
+
+        ax.set_facecolor('xkcd:white')
+        j=0
+        
+        if precision < 1:
+            data[['values1', 'values2']] = data[['values1', 'values2']].astype(int)
+        for i in data['values2']:
+            if i < 0.1*upper:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            else:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            j=j+1
+        j=0.4
+        for i in data['values1']:
+            if i < 0.1*upper:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10)
+            else:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            j=j+1
+
+        
+        ax.legend((p1[0], p2[0]), (lab1, lab2), loc=4, frameon=False, prop=font.leg_font)
+        plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10)
+        plt.yticks( fontname = font.normal, fontsize =10)
+        
+        if percent == True:
+            data_yoy = data
+            data_yoy['percent'] = (data['values2']-data['values1'])*100/data['values1']
+            j=0.15
+            for index, row in data_yoy.iterrows():
+                ax.annotate('+'+str(format(int(round(row['percent'],0)), ','))+'%', xy=(max(row[['values1', 'values2']]) + 0.03*upper, j), 
+                                                                                           color = 'k', fontname = font.normal, fontsize=10)
+                j=j+1
+                
+
+        return fig, ax

+    
+
[docs]    def bar_chart(data_in, xlab,**kwargs):
+        """Creates a bar chart
+        
+        Parameters
+        -----------
+        data : dataframe
+            Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data
+        xlab : str
+            Label for the x axis.
+        xmax : int, optional, default is the max s value
+            The max value of the y axis
+        xmin : int, optional, default is 0
+            The minimum value of the x axis
+        precision : int, optional, default is -1
+            Decimal places in the annotations
+            
+        xinc : int, optional
+            The increment of ticks on the x axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+            
+        """
+        func()
+        data = data_in.copy(deep=True)
+        
+        data.columns = ['name', 'values1']
+        
+        xmin = kwargs.get('xmin', 0)
+        xmax = kwargs.get('xmax', None)
+        precision = kwargs.get('precision', 0)
+        
+        xmax_flag = True
+        if xmax == None:
+            xmax = data['values1'].max()
+            xmax_flag = False
+
+        delta = (xmax - xmin)/4
+        i = 0
+        while True:
+            if delta < 10:
+                break
+            delta /= 10
+            i += 1
+        xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i)))
+
+        if xmax_flag == True:
+            upper = xmax
+        else:
+            upper = int(4*xinc+xmin)
+        
+        ind = np.arange(len(data))
+
+        fig, ax = plt.subplots()
+        fig.set_size_inches(6.1, len(data)*0.7)
+        ax.grid(color='k', linestyle='-', linewidth=0.25)
+        p2 = ax.barh(ind, data['values1'], 0.75, align='center', color = colour.purple)
+        ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+
+        ax.xaxis.grid(True)
+        ax.yaxis.grid(False)
+        ax.set_yticks(ind)
+        ax.set_xlim(0,upper)
+        ax.set_yticklabels(data['name'])
+        ax.set_xlabel(xlab,  horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
+
+        ax.set_facecolor('xkcd:white')
+        j=0
+        
+        if precision < 1:
+            data['values1'] = data['values1'].astype(int)
+
+        j=0
+        for i in data['values1']:
+            if i < 0.1*upper:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10)
+            else:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            j=j+1
+
+        
+        plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10)
+        plt.yticks( fontname = font.normal, fontsize =10)
+        
+        return fig, ax

+
+ +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/_sources/code.rst.txt b/charts/_build/html/_sources/code.rst.txt new file mode 100644 index 0000000..01cb60b --- /dev/null +++ b/charts/_build/html/_sources/code.rst.txt @@ -0,0 +1,5 @@ +Auto Generated Documentation +============================ + +.. automodule:: rick + :members: \ No newline at end of file diff --git a/charts/_build/html/_sources/index.rst.txt b/charts/_build/html/_sources/index.rst.txt new file mode 100644 index 0000000..e8c1426 --- /dev/null +++ b/charts/_build/html/_sources/index.rst.txt @@ -0,0 +1,24 @@ +.. VFH Charts documentation master file, created by + sphinx-quickstart on Tue Jul 16 16:26:10 2019. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +Repeatable Information Charts Kit README +====================================== + +This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions. + +.. toctree:: + :maxdepth: 2 + :caption: Contents: + + code + + + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` diff --git a/charts/_build/html/_static/alabaster.css b/charts/_build/html/_static/alabaster.css new file mode 100644 index 0000000..be65b13 --- /dev/null +++ b/charts/_build/html/_static/alabaster.css @@ -0,0 +1,693 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +@import url("basic.css"); + +/* -- page layout ----------------------------------------------------------- */ + +body { + font-family: 'goudy old style', 'minion pro', 'bell mt', Georgia, 'Hiragino Mincho Pro', serif; + font-size: 17px; + background-color: #fff; + color: #000; + margin: 0; + padding: 0; +} + + +div.document { + width: 940px; + margin: 30px auto 0 auto; +} + +div.documentwrapper { + float: left; + width: 100%; +} + +div.bodywrapper { + margin: 0 0 0 220px; +} + +div.sphinxsidebar { + width: 220px; + font-size: 14px; + line-height: 1.5; +} + +hr { + border: 1px solid #B1B4B6; +} + +div.body { + background-color: #fff; + color: #3E4349; + padding: 0 30px 0 30px; +} + +div.body > .section { + text-align: left; +} + +div.footer { + width: 940px; + margin: 20px auto 30px auto; + font-size: 14px; + color: #888; + text-align: right; +} + +div.footer a { + color: #888; +} + +p.caption { + font-family: inherit; + font-size: inherit; +} + + +div.relations { + display: none; +} + + +div.sphinxsidebar a { + color: #444; + text-decoration: none; + border-bottom: 1px dotted #999; +} + +div.sphinxsidebar a:hover { + border-bottom: 1px solid #999; +} + +div.sphinxsidebarwrapper { + padding: 18px 10px; +} + +div.sphinxsidebarwrapper p.logo { + padding: 0; + margin: -10px 0 0 0px; + text-align: center; +} + +div.sphinxsidebarwrapper h1.logo { + margin-top: -10px; + text-align: center; + margin-bottom: 5px; + text-align: left; +} + +div.sphinxsidebarwrapper h1.logo-name { + margin-top: 0px; +} + +div.sphinxsidebarwrapper p.blurb { + margin-top: 0; + font-style: normal; +} + +div.sphinxsidebar h3, +div.sphinxsidebar h4 { + font-family: 'Garamond', 'Georgia', serif; + color: #444; + font-size: 24px; + font-weight: normal; + margin: 0 0 5px 0; + padding: 0; +} + +div.sphinxsidebar h4 { + font-size: 20px; +} + +div.sphinxsidebar h3 a { + color: #444; +} + +div.sphinxsidebar p.logo a, +div.sphinxsidebar h3 a, +div.sphinxsidebar p.logo a:hover, +div.sphinxsidebar h3 a:hover { + border: none; +} + +div.sphinxsidebar p { + color: #555; + margin: 10px 0; +} + +div.sphinxsidebar ul { + margin: 10px 0; + padding: 0; + color: #000; +} + +div.sphinxsidebar ul li.toctree-l1 > a { + font-size: 120%; +} + +div.sphinxsidebar ul li.toctree-l2 > a { + font-size: 110%; +} + +div.sphinxsidebar input { + border: 1px solid #CCC; + font-family: 'goudy old style', 'minion pro', 'bell mt', Georgia, 'Hiragino Mincho Pro', serif; + font-size: 1em; +} + +div.sphinxsidebar hr { + border: none; + height: 1px; + color: #AAA; + background: #AAA; + + text-align: left; + margin-left: 0; + width: 50%; +} + +/* -- body styles ----------------------------------------------------------- */ + +a { + color: #004B6B; + text-decoration: underline; +} + +a:hover { + color: #6D4100; + text-decoration: underline; +} + +div.body h1, +div.body h2, +div.body h3, +div.body h4, +div.body h5, +div.body h6 { + font-family: 'Garamond', 'Georgia', serif; + font-weight: normal; + margin: 30px 0px 10px 0px; + padding: 0; +} + +div.body h1 { margin-top: 0; padding-top: 0; font-size: 240%; } +div.body h2 { font-size: 180%; } +div.body h3 { font-size: 150%; } +div.body h4 { font-size: 130%; } +div.body h5 { font-size: 100%; } +div.body h6 { font-size: 100%; } + +a.headerlink { + color: #DDD; + padding: 0 4px; + text-decoration: none; +} + +a.headerlink:hover { + color: #444; + background: #EAEAEA; +} + +div.body p, div.body dd, div.body li { + line-height: 1.4em; +} + +div.admonition { + margin: 20px 0px; + padding: 10px 30px; + background-color: #EEE; + border: 1px solid #CCC; +} + +div.admonition tt.xref, div.admonition code.xref, div.admonition a tt { + background-color: #FBFBFB; + border-bottom: 1px solid #fafafa; +} + +div.admonition p.admonition-title { + font-family: 'Garamond', 'Georgia', serif; + font-weight: normal; + font-size: 24px; + margin: 0 0 10px 0; + padding: 0; + line-height: 1; +} + +div.admonition p.last { + margin-bottom: 0; +} + +div.highlight { + background-color: #fff; +} + +dt:target, .highlight { + background: #FAF3E8; +} + +div.warning { + background-color: #FCC; + border: 1px solid #FAA; +} + +div.danger { + background-color: #FCC; + border: 1px solid #FAA; + -moz-box-shadow: 2px 2px 4px #D52C2C; + -webkit-box-shadow: 2px 2px 4px #D52C2C; + box-shadow: 2px 2px 4px #D52C2C; +} + +div.error { + background-color: #FCC; + border: 1px solid #FAA; + -moz-box-shadow: 2px 2px 4px #D52C2C; + -webkit-box-shadow: 2px 2px 4px #D52C2C; + box-shadow: 2px 2px 4px #D52C2C; +} + +div.caution { + background-color: #FCC; + border: 1px solid #FAA; +} + +div.attention { + background-color: #FCC; + border: 1px solid #FAA; +} + +div.important { + background-color: #EEE; + border: 1px solid #CCC; +} + +div.note { + background-color: #EEE; + border: 1px solid #CCC; +} + +div.tip { + background-color: #EEE; + border: 1px solid #CCC; +} + +div.hint { + background-color: #EEE; + border: 1px solid #CCC; +} + +div.seealso { + background-color: #EEE; + border: 1px solid #CCC; +} + +div.topic { + background-color: #EEE; +} + +p.admonition-title { + display: inline; +} + +p.admonition-title:after { + content: ":"; +} + +pre, tt, code { + font-family: 'Consolas', 'Menlo', 'Deja Vu Sans Mono', 'Bitstream Vera Sans Mono', monospace; + font-size: 0.9em; +} + +.hll { + background-color: #FFC; + margin: 0 -12px; + padding: 0 12px; + display: block; +} + +img.screenshot { +} + +tt.descname, tt.descclassname, code.descname, code.descclassname { + font-size: 0.95em; +} + +tt.descname, code.descname { + padding-right: 0.08em; +} + +img.screenshot { + -moz-box-shadow: 2px 2px 4px #EEE; + -webkit-box-shadow: 2px 2px 4px #EEE; + box-shadow: 2px 2px 4px #EEE; +} + +table.docutils { + border: 1px solid #888; + -moz-box-shadow: 2px 2px 4px #EEE; + -webkit-box-shadow: 2px 2px 4px #EEE; + box-shadow: 2px 2px 4px #EEE; +} + +table.docutils td, table.docutils th { + border: 1px solid #888; + padding: 0.25em 0.7em; +} + +table.field-list, table.footnote { + border: none; + -moz-box-shadow: none; + -webkit-box-shadow: none; + box-shadow: none; +} + +table.footnote { + margin: 15px 0; + width: 100%; + border: 1px solid #EEE; + background: #FDFDFD; + font-size: 0.9em; +} + +table.footnote + table.footnote { + margin-top: -15px; + border-top: none; +} + +table.field-list th { + padding: 0 0.8em 0 0; +} + +table.field-list td { + padding: 0; +} + +table.field-list p { + margin-bottom: 0.8em; +} + +/* Cloned from + * https://github.com/sphinx-doc/sphinx/commit/ef60dbfce09286b20b7385333d63a60321784e68 + */ +.field-name { + -moz-hyphens: manual; + -ms-hyphens: manual; + -webkit-hyphens: manual; + hyphens: manual; +} + +table.footnote td.label { + width: .1px; + padding: 0.3em 0 0.3em 0.5em; +} + +table.footnote td { + padding: 0.3em 0.5em; +} + +dl { + margin: 0; + padding: 0; +} + +dl dd { + margin-left: 30px; +} + +blockquote { + margin: 0 0 0 30px; + padding: 0; +} + +ul, ol { + /* Matches the 30px from the narrow-screen "li > ul" selector below */ + margin: 10px 0 10px 30px; + padding: 0; +} + +pre { + background: #EEE; + padding: 7px 30px; + margin: 15px 0px; + line-height: 1.3em; +} + +div.viewcode-block:target { + background: #ffd; +} + +dl pre, blockquote pre, li pre { + margin-left: 0; + padding-left: 30px; +} + +tt, code { + background-color: #ecf0f3; + color: #222; + /* padding: 1px 2px; */ +} + +tt.xref, code.xref, a tt { + background-color: #FBFBFB; + border-bottom: 1px solid #fff; +} + +a.reference { + text-decoration: none; + border-bottom: 1px dotted #004B6B; +} + +/* Don't put an underline on images */ +a.image-reference, a.image-reference:hover { + border-bottom: none; +} + +a.reference:hover { + border-bottom: 1px solid #6D4100; +} + +a.footnote-reference { + text-decoration: none; + font-size: 0.7em; + vertical-align: top; + border-bottom: 1px dotted #004B6B; +} + +a.footnote-reference:hover { + border-bottom: 1px solid #6D4100; +} + +a:hover tt, a:hover code { + background: #EEE; +} + + +@media screen and (max-width: 870px) { + + div.sphinxsidebar { + display: none; + } + + div.document { + width: 100%; + + } + + div.documentwrapper { + margin-left: 0; + margin-top: 0; + margin-right: 0; + margin-bottom: 0; + } + + div.bodywrapper { + margin-top: 0; + margin-right: 0; + margin-bottom: 0; + margin-left: 0; + } + + ul { + margin-left: 0; + } + + li > ul { + /* Matches the 30px from the "ul, ol" selector above */ + margin-left: 30px; + } + + .document { + width: auto; + } + + .footer { + width: auto; + } + + .bodywrapper { + margin: 0; + } + + .footer { + width: auto; + } + + .github { + display: none; + } + + + +} + + + +@media screen and (max-width: 875px) { + + body { + margin: 0; + padding: 20px 30px; + } + + div.documentwrapper { + float: none; + background: #fff; + } + + div.sphinxsidebar { + display: block; + float: none; + width: 102.5%; + margin: 50px -30px -20px -30px; + padding: 10px 20px; + background: #333; + color: #FFF; + } + + div.sphinxsidebar h3, div.sphinxsidebar h4, div.sphinxsidebar p, + div.sphinxsidebar h3 a { + color: #fff; + } + + div.sphinxsidebar a { + color: #AAA; + } + + div.sphinxsidebar p.logo { + display: none; + } + + div.document { + width: 100%; + margin: 0; + } + + div.footer { + display: none; + } + + div.bodywrapper { + margin: 0; + } + + div.body { + min-height: 0; + padding: 0; + } + + .rtd_doc_footer { + display: none; + } + + .document { + width: auto; + } + + .footer { + width: auto; + } + + .footer { + width: auto; + } + + .github { + display: none; + } +} + + +/* misc. */ + +.revsys-inline { + display: none!important; +} + +/* Make nested-list/multi-paragraph items look better in Releases changelog + * pages. Without this, docutils' magical list fuckery causes inconsistent + * formatting between different release sub-lists. + */ +div#changelog > div.section > ul > li > p:only-child { + margin-bottom: 0; +} + +/* Hide fugly table cell borders in ..bibliography:: directive output */ +table.docutils.citation, table.docutils.citation td, table.docutils.citation th { + border: none; + /* Below needed in some edge cases; if not applied, bottom shadows appear */ + -moz-box-shadow: none; + -webkit-box-shadow: none; + box-shadow: none; +} \ No newline at end of file diff --git a/charts/_build/html/_static/basic.css b/charts/_build/html/_static/basic.css new file mode 100644 index 0000000..c41d718 --- /dev/null +++ b/charts/_build/html/_static/basic.css @@ -0,0 +1,763 @@ +/* + * basic.css + * ~~~~~~~~~ + * + * Sphinx stylesheet -- basic theme. + * + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/* -- main layout ----------------------------------------------------------- */ + +div.clearer { + clear: both; +} + +/* -- relbar ---------------------------------------------------------------- */ + +div.related { + width: 100%; + font-size: 90%; +} + +div.related h3 { + display: none; +} + +div.related ul { + margin: 0; + padding: 0 0 0 10px; + list-style: none; +} + +div.related li { + display: inline; +} + +div.related li.right { + float: right; + margin-right: 5px; +} + +/* -- sidebar --------------------------------------------------------------- */ + +div.sphinxsidebarwrapper { + padding: 10px 5px 0 10px; +} + +div.sphinxsidebar { + float: left; + width: 230px; + margin-left: -100%; + font-size: 90%; + word-wrap: break-word; + overflow-wrap : break-word; +} + +div.sphinxsidebar ul { + list-style: none; +} + +div.sphinxsidebar ul ul, +div.sphinxsidebar ul.want-points { + margin-left: 20px; + list-style: square; +} + +div.sphinxsidebar ul ul { + margin-top: 0; + margin-bottom: 0; +} + +div.sphinxsidebar form { + margin-top: 10px; +} + +div.sphinxsidebar input { + border: 1px solid #98dbcc; + font-family: sans-serif; + font-size: 1em; +} + +div.sphinxsidebar #searchbox form.search { + overflow: hidden; +} + +div.sphinxsidebar #searchbox input[type="text"] { + float: left; + width: 80%; + padding: 0.25em; + box-sizing: border-box; +} + +div.sphinxsidebar #searchbox input[type="submit"] { + float: left; + width: 20%; + border-left: none; + padding: 0.25em; + box-sizing: border-box; +} + + +img { + border: 0; + max-width: 100%; +} + +/* -- search page ----------------------------------------------------------- */ + +ul.search { + margin: 10px 0 0 20px; + padding: 0; +} + +ul.search li { + padding: 5px 0 5px 20px; + background-image: url(file.png); + background-repeat: no-repeat; + background-position: 0 7px; +} + +ul.search li a { + font-weight: bold; +} + +ul.search li div.context { + color: #888; + margin: 2px 0 0 30px; + text-align: left; +} + +ul.keywordmatches li.goodmatch a { + font-weight: bold; +} + +/* -- index page ------------------------------------------------------------ */ + +table.contentstable { + width: 90%; + margin-left: auto; + margin-right: auto; +} + +table.contentstable p.biglink { + line-height: 150%; +} + +a.biglink { + font-size: 1.3em; +} + +span.linkdescr { + font-style: italic; + padding-top: 5px; + font-size: 90%; +} + +/* -- general index --------------------------------------------------------- */ + +table.indextable { + width: 100%; +} + +table.indextable td { + text-align: left; + vertical-align: top; +} + +table.indextable ul { + margin-top: 0; + margin-bottom: 0; + list-style-type: none; +} + +table.indextable > tbody > tr > td > ul { + padding-left: 0em; +} + +table.indextable tr.pcap { + height: 10px; +} + +table.indextable tr.cap { + margin-top: 10px; + background-color: #f2f2f2; +} + +img.toggler { + margin-right: 3px; + margin-top: 3px; + cursor: pointer; +} + +div.modindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +div.genindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +/* -- domain module index --------------------------------------------------- */ + +table.modindextable td { + padding: 2px; + border-collapse: collapse; +} + +/* -- general body styles --------------------------------------------------- */ + +div.body { + min-width: 450px; + max-width: 800px; +} + +div.body p, div.body dd, div.body li, div.body blockquote { + -moz-hyphens: auto; + -ms-hyphens: auto; + -webkit-hyphens: auto; + hyphens: auto; +} + +a.headerlink { + visibility: hidden; +} + +a.brackets:before, +span.brackets > a:before{ + content: "["; +} + +a.brackets:after, +span.brackets > a:after { + content: "]"; +} + +h1:hover > a.headerlink, +h2:hover > a.headerlink, +h3:hover > a.headerlink, +h4:hover > a.headerlink, +h5:hover > a.headerlink, +h6:hover > a.headerlink, +dt:hover > a.headerlink, +caption:hover > a.headerlink, +p.caption:hover > a.headerlink, +div.code-block-caption:hover > a.headerlink { + visibility: visible; +} + +div.body p.caption { + text-align: inherit; +} + +div.body td { + text-align: left; +} + +.first { + margin-top: 0 !important; +} + +p.rubric { + margin-top: 30px; + font-weight: bold; +} + +img.align-left, .figure.align-left, object.align-left { + clear: left; + float: left; + margin-right: 1em; +} + +img.align-right, .figure.align-right, object.align-right { + clear: right; + float: right; + margin-left: 1em; +} + +img.align-center, .figure.align-center, object.align-center { + display: block; + margin-left: auto; + margin-right: auto; +} + +img.align-default, .figure.align-default { + display: block; + margin-left: auto; + margin-right: auto; +} + +.align-left { + text-align: left; +} + +.align-center { + text-align: center; +} + +.align-default { + text-align: center; +} + +.align-right { + text-align: right; +} + +/* -- sidebars -------------------------------------------------------------- */ + +div.sidebar { + margin: 0 0 0.5em 1em; + border: 1px solid #ddb; + padding: 7px 7px 0 7px; + background-color: #ffe; + width: 40%; + float: right; +} + +p.sidebar-title { + font-weight: bold; +} + +/* -- topics ---------------------------------------------------------------- */ + +div.topic { + border: 1px solid #ccc; + padding: 7px 7px 0 7px; + margin: 10px 0 10px 0; +} + +p.topic-title { + font-size: 1.1em; + font-weight: bold; + margin-top: 10px; +} + +/* -- admonitions ----------------------------------------------------------- */ + +div.admonition { + margin-top: 10px; + margin-bottom: 10px; + padding: 7px; +} + +div.admonition dt { + font-weight: bold; +} + +div.admonition dl { + margin-bottom: 0; +} + +p.admonition-title { + margin: 0px 10px 5px 0px; + font-weight: bold; +} + +div.body p.centered { + text-align: center; + margin-top: 25px; +} + +/* -- tables ---------------------------------------------------------------- */ + +table.docutils { + border: 0; + border-collapse: collapse; +} + +table.align-center { + margin-left: auto; + margin-right: auto; +} + +table.align-default { + margin-left: auto; + margin-right: auto; +} + +table caption span.caption-number { + font-style: italic; +} + +table caption span.caption-text { +} + +table.docutils td, table.docutils th { + padding: 1px 8px 1px 5px; + border-top: 0; + border-left: 0; + border-right: 0; + border-bottom: 1px solid #aaa; +} + +table.footnote td, table.footnote th { + border: 0 !important; +} + +th { + text-align: left; + padding-right: 5px; +} + +table.citation { + border-left: solid 1px gray; + margin-left: 1px; +} + +table.citation td { + border-bottom: none; +} + +th > p:first-child, +td > p:first-child { + margin-top: 0px; +} + +th > p:last-child, +td > p:last-child { + margin-bottom: 0px; +} + +/* -- figures --------------------------------------------------------------- */ + +div.figure { + margin: 0.5em; + padding: 0.5em; +} + +div.figure p.caption { + padding: 0.3em; +} + +div.figure p.caption span.caption-number { + font-style: italic; +} + +div.figure p.caption span.caption-text { +} + +/* -- field list styles ----------------------------------------------------- */ + +table.field-list td, table.field-list th { + border: 0 !important; +} + +.field-list ul { + margin: 0; + padding-left: 1em; +} + +.field-list p { + margin: 0; +} + +.field-name { + -moz-hyphens: manual; + -ms-hyphens: manual; + -webkit-hyphens: manual; + hyphens: manual; +} + +/* -- hlist styles ---------------------------------------------------------- */ + +table.hlist td { + vertical-align: top; +} + + +/* -- other body styles ----------------------------------------------------- */ + +ol.arabic { + list-style: decimal; +} + +ol.loweralpha { + list-style: lower-alpha; +} + +ol.upperalpha { + list-style: upper-alpha; +} + +ol.lowerroman { + list-style: lower-roman; +} + +ol.upperroman { + list-style: upper-roman; +} + +li > p:first-child { + margin-top: 0px; +} + +li > p:last-child { + margin-bottom: 0px; +} + +dl.footnote > dt, +dl.citation > dt { + float: left; +} + +dl.footnote > dd, +dl.citation > dd { + margin-bottom: 0em; +} + +dl.footnote > dd:after, +dl.citation > dd:after { + content: ""; + clear: both; +} + +dl.field-list { + display: flex; + flex-wrap: wrap; +} + +dl.field-list > dt { + flex-basis: 20%; + font-weight: bold; + word-break: break-word; +} + +dl.field-list > dt:after { + content: ":"; +} + +dl.field-list > dd { + flex-basis: 70%; + padding-left: 1em; + margin-left: 0em; + margin-bottom: 0em; +} + +dl { + margin-bottom: 15px; +} + +dd > p:first-child { + margin-top: 0px; +} + +dd ul, dd table { + margin-bottom: 10px; +} + +dd { + margin-top: 3px; + margin-bottom: 10px; + margin-left: 30px; +} + +dt:target, span.highlighted { + background-color: #fbe54e; +} + +rect.highlighted { + fill: #fbe54e; +} + +dl.glossary dt { + font-weight: bold; + font-size: 1.1em; +} + +.optional { + font-size: 1.3em; +} + +.sig-paren { + font-size: larger; +} + +.versionmodified { + font-style: italic; +} + +.system-message { + background-color: #fda; + padding: 5px; + border: 3px solid red; +} + +.footnote:target { + background-color: #ffa; +} + +.line-block { + display: block; + margin-top: 1em; + margin-bottom: 1em; +} + +.line-block .line-block { + margin-top: 0; + margin-bottom: 0; + margin-left: 1.5em; +} + +.guilabel, .menuselection { + font-family: sans-serif; +} + +.accelerator { + text-decoration: underline; +} + +.classifier { + font-style: oblique; +} + +.classifier:before { + font-style: normal; + margin: 0.5em; + content: ":"; +} + +abbr, acronym { + border-bottom: dotted 1px; + cursor: help; +} + +/* -- code displays --------------------------------------------------------- */ + +pre { + overflow: auto; + overflow-y: hidden; /* fixes display issues on Chrome browsers */ +} + +span.pre { + -moz-hyphens: none; + -ms-hyphens: none; + -webkit-hyphens: none; + hyphens: none; +} + +td.linenos pre { + padding: 5px 0px; + border: 0; + background-color: transparent; + color: #aaa; +} + +table.highlighttable { + margin-left: 0.5em; +} + +table.highlighttable td { + padding: 0 0.5em 0 0.5em; +} + +div.code-block-caption { + padding: 2px 5px; + font-size: small; +} + +div.code-block-caption code { + background-color: transparent; +} + +div.code-block-caption + div > div.highlight > pre { + margin-top: 0; +} + +div.code-block-caption span.caption-number { + padding: 0.1em 0.3em; + font-style: italic; +} + +div.code-block-caption span.caption-text { +} + +div.literal-block-wrapper { + padding: 1em 1em 0; +} + +div.literal-block-wrapper div.highlight { + margin: 0; +} + +code.descname { + background-color: transparent; + font-weight: bold; + font-size: 1.2em; +} + +code.descclassname { + background-color: transparent; +} + +code.xref, a code { + background-color: transparent; + font-weight: bold; +} + +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { + background-color: transparent; +} + +.viewcode-link { + float: right; +} + +.viewcode-back { + float: right; + font-family: sans-serif; +} + +div.viewcode-block:target { + margin: -1px -10px; + padding: 0 10px; +} + +/* -- math display ---------------------------------------------------------- */ + +img.math { + vertical-align: middle; +} + +div.body div.math p { + text-align: center; +} + +span.eqno { + float: right; +} + +span.eqno a.headerlink { + position: relative; + left: 0px; + z-index: 1; +} + +div.math:hover a.headerlink { + visibility: visible; +} + +/* -- printout stylesheet --------------------------------------------------- */ + +@media print { + div.document, + div.documentwrapper, + div.bodywrapper { + margin: 0 !important; + width: 100%; + } + + div.sphinxsidebar, + div.related, + div.footer, + #top-link { + display: none; + } +} \ No newline at end of file diff --git a/charts/_build/html/_static/custom.css b/charts/_build/html/_static/custom.css new file mode 100644 index 0000000..2a924f1 --- /dev/null +++ b/charts/_build/html/_static/custom.css @@ -0,0 +1 @@ +/* This file intentionally left blank. */ diff --git a/charts/_build/html/_static/doctools.js b/charts/_build/html/_static/doctools.js new file mode 100644 index 0000000..b33f87f --- /dev/null +++ b/charts/_build/html/_static/doctools.js @@ -0,0 +1,314 @@ +/* + * doctools.js + * ~~~~~~~~~~~ + * + * Sphinx JavaScript utilities for all documentation. + * + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/** + * select a different prefix for underscore + */ +$u = _.noConflict(); + +/** + * make the code below compatible with browsers without + * an installed firebug like debugger +if (!window.console || !console.firebug) { + var names = ["log", "debug", "info", "warn", "error", "assert", "dir", + "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace", + "profile", "profileEnd"]; + window.console = {}; + for (var i = 0; i < names.length; ++i) + window.console[names[i]] = function() {}; +} + */ + +/** + * small helper function to urldecode strings + */ +jQuery.urldecode = function(x) { + return decodeURIComponent(x).replace(/\+/g, ' '); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. Multiple values per key are supported, + * it will always return arrays of strings for the value parts. + */ +jQuery.getQueryParameters = function(s) { + if (typeof s === 'undefined') + s = document.location.search; + var parts = s.substr(s.indexOf('?') + 1).split('&'); + var result = {}; + for (var i = 0; i < parts.length; i++) { + var tmp = parts[i].split('=', 2); + var key = jQuery.urldecode(tmp[0]); + var value = jQuery.urldecode(tmp[1]); + if (key in result) + result[key].push(value); + else + result[key] = [value]; + } + return result; +}; + +/** + * highlight a given string on a jquery object by wrapping it in + * span elements with the given class name. + */ +jQuery.fn.highlightText = function(text, className) { + function highlight(node, addItems) { + if (node.nodeType === 3) { + var val = node.nodeValue; + var pos = val.toLowerCase().indexOf(text); + if (pos >= 0 && + !jQuery(node.parentNode).hasClass(className) && + !jQuery(node.parentNode).hasClass("nohighlight")) { + var span; + var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.className = className; + } + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + node.parentNode.insertBefore(span, node.parentNode.insertBefore( + document.createTextNode(val.substr(pos + text.length)), + node.nextSibling)); + node.nodeValue = val.substr(0, pos); + if (isInSVG) { + var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect"); + var bbox = node.parentElement.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute('class', className); + addItems.push({ + "parent": node.parentNode, + "target": rect}); + } + } + } + else if (!jQuery(node).is("button, select, textarea")) { + jQuery.each(node.childNodes, function() { + highlight(this, addItems); + }); + } + } + var addItems = []; + var result = this.each(function() { + highlight(this, addItems); + }); + for (var i = 0; i < addItems.length; ++i) { + jQuery(addItems[i].parent).before(addItems[i].target); + } + return result; +}; + +/* + * backward compatibility for jQuery.browser + * This will be supported until firefox bug is fixed. + */ +if (!jQuery.browser) { + jQuery.uaMatch = function(ua) { + ua = ua.toLowerCase(); + + var match = /(chrome)[ \/]([\w.]+)/.exec(ua) || + /(webkit)[ \/]([\w.]+)/.exec(ua) || + /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) || + /(msie) ([\w.]+)/.exec(ua) || + ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) || + []; + + return { + browser: match[ 1 ] || "", + version: match[ 2 ] || "0" + }; + }; + jQuery.browser = {}; + jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true; +} + +/** + * Small JavaScript module for the documentation. + */ +var Documentation = { + + init : function() { + this.fixFirefoxAnchorBug(); + this.highlightSearchWords(); + this.initIndexTable(); + if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) { + this.initOnKeyListeners(); + } + }, + + /** + * i18n support + */ + TRANSLATIONS : {}, + PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; }, + LOCALE : 'unknown', + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext : function(string) { + var translated = Documentation.TRANSLATIONS[string]; + if (typeof translated === 'undefined') + return string; + return (typeof translated === 'string') ? translated : translated[0]; + }, + + ngettext : function(singular, plural, n) { + var translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated === 'undefined') + return (n == 1) ? singular : plural; + return translated[Documentation.PLURALEXPR(n)]; + }, + + addTranslations : function(catalog) { + for (var key in catalog.messages) + this.TRANSLATIONS[key] = catalog.messages[key]; + this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')'); + this.LOCALE = catalog.locale; + }, + + /** + * add context elements like header anchor links + */ + addContextElements : function() { + $('div[id] > :header:first').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this headline')). + appendTo(this); + }); + $('dt[id]').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this definition')). + appendTo(this); + }); + }, + + /** + * workaround a firefox stupidity + * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075 + */ + fixFirefoxAnchorBug : function() { + if (document.location.hash && $.browser.mozilla) + window.setTimeout(function() { + document.location.href += ''; + }, 10); + }, + + /** + * highlight the search words provided in the url in the text + */ + highlightSearchWords : function() { + var params = $.getQueryParameters(); + var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : []; + if (terms.length) { + var body = $('div.body'); + if (!body.length) { + body = $('body'); + } + window.setTimeout(function() { + $.each(terms, function() { + body.highlightText(this.toLowerCase(), 'highlighted'); + }); + }, 10); + $('

' + _('Hide Search Matches') + '

') + .appendTo($('#searchbox')); + } + }, + + /** + * init the domain index toggle buttons + */ + initIndexTable : function() { + var togglers = $('img.toggler').click(function() { + var src = $(this).attr('src'); + var idnum = $(this).attr('id').substr(7); + $('tr.cg-' + idnum).toggle(); + if (src.substr(-9) === 'minus.png') + $(this).attr('src', src.substr(0, src.length-9) + 'plus.png'); + else + $(this).attr('src', src.substr(0, src.length-8) + 'minus.png'); + }).css('display', ''); + if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) { + togglers.click(); + } + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords : function() { + $('#searchbox .highlight-link').fadeOut(300); + $('span.highlighted').removeClass('highlighted'); + }, + + /** + * make the url absolute + */ + makeURL : function(relativeURL) { + return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL; + }, + + /** + * get the current relative url + */ + getCurrentURL : function() { + var path = document.location.pathname; + var parts = path.split(/\//); + $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() { + if (this === '..') + parts.pop(); + }); + var url = parts.join('/'); + return path.substring(url.lastIndexOf('/') + 1, path.length - 1); + }, + + initOnKeyListeners: function() { + $(document).keyup(function(event) { + var activeElementType = document.activeElement.tagName; + // don't navigate when in search box or textarea + if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT') { + switch (event.keyCode) { + case 37: // left + var prevHref = $('link[rel="prev"]').prop('href'); + if (prevHref) { + window.location.href = prevHref; + return false; + } + case 39: // right + var nextHref = $('link[rel="next"]').prop('href'); + if (nextHref) { + window.location.href = nextHref; + return false; + } + } + } + }); + } +}; + +// quick alias for translations +_ = Documentation.gettext; + +$(document).ready(function() { + Documentation.init(); +}); diff --git a/charts/_build/html/_static/documentation_options.js b/charts/_build/html/_static/documentation_options.js new file mode 100644 index 0000000..b810979 --- /dev/null +++ b/charts/_build/html/_static/documentation_options.js @@ -0,0 +1,10 @@ +var DOCUMENTATION_OPTIONS = { + URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), + VERSION: '2019-07-16', + LANGUAGE: 'None', + COLLAPSE_INDEX: false, + FILE_SUFFIX: '.html', + HAS_SOURCE: true, + SOURCELINK_SUFFIX: '.txt', + NAVIGATION_WITH_KEYS: false +}; \ No newline at end of file diff --git a/charts/_build/html/_static/file.png b/charts/_build/html/_static/file.png new file mode 100644 index 0000000000000000000000000000000000000000..a858a410e4faa62ce324d814e4b816fff83a6fb3 GIT binary patch literal 286 zcmV+(0pb3MP)s`hMrGg#P~ix$^RISR_I47Y|r1 z_CyJOe}D1){SET-^Amu_i71Lt6eYfZjRyw@I6OQAIXXHDfiX^GbOlHe=Ae4>0m)d(f|Me07*qoM6N<$f}vM^LjV8( literal 0 HcmV?d00001 diff --git a/charts/_build/html/_static/jquery-3.2.1.js b/charts/_build/html/_static/jquery-3.2.1.js new file mode 100644 index 0000000..d2d8ca4 --- /dev/null +++ b/charts/_build/html/_static/jquery-3.2.1.js @@ -0,0 +1,10253 @@ +/*! + * jQuery JavaScript Library v3.2.1 + * https://jquery.com/ + * + * Includes Sizzle.js + * https://sizzlejs.com/ + * + * Copyright JS Foundation and other contributors + * Released under the MIT license + * https://jquery.org/license + * + * Date: 2017-03-20T18:59Z + */ +( function( global, factory ) { + + "use strict"; + + if ( typeof module === "object" && typeof module.exports === "object" ) { + + // For CommonJS and CommonJS-like environments where a proper `window` + // is present, execute the factory and get jQuery. + // For environments that do not have a `window` with a `document` + // (such as Node.js), expose a factory as module.exports. + // This accentuates the need for the creation of a real `window`. + // e.g. var jQuery = require("jquery")(window); + // See ticket #14549 for more info. + module.exports = global.document ? + factory( global, true ) : + function( w ) { + if ( !w.document ) { + throw new Error( "jQuery requires a window with a document" ); + } + return factory( w ); + }; + } else { + factory( global ); + } + +// Pass this if window is not defined yet +} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) { + +// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1 +// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode +// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common +// enough that all such attempts are guarded in a try block. +"use strict"; + +var arr = []; + +var document = window.document; + +var getProto = Object.getPrototypeOf; + +var slice = arr.slice; + +var concat = arr.concat; + +var push = arr.push; + +var indexOf = arr.indexOf; + +var class2type = {}; + +var toString = class2type.toString; + +var hasOwn = class2type.hasOwnProperty; + +var fnToString = hasOwn.toString; + +var ObjectFunctionString = fnToString.call( Object ); + +var support = {}; + + + + function DOMEval( code, doc ) { + doc = doc || document; + + var script = doc.createElement( "script" ); + + script.text = code; + doc.head.appendChild( script ).parentNode.removeChild( script ); + } +/* global Symbol */ +// Defining this global in .eslintrc.json would create a danger of using the global +// unguarded in another place, it seems safer to define global only for this module + + + +var + version = "3.2.1", + + // Define a local copy of jQuery + jQuery = function( selector, context ) { + + // The jQuery object is actually just the init constructor 'enhanced' + // Need init if jQuery is called (just allow error to be thrown if not included) + return new jQuery.fn.init( selector, context ); + }, + + // Support: Android <=4.0 only + // Make sure we trim BOM and NBSP + rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g, + + // Matches dashed string for camelizing + rmsPrefix = /^-ms-/, + rdashAlpha = /-([a-z])/g, + + // Used by jQuery.camelCase as callback to replace() + fcamelCase = function( all, letter ) { + return letter.toUpperCase(); + }; + +jQuery.fn = jQuery.prototype = { + + // The current version of jQuery being used + jquery: version, + + constructor: jQuery, + + // The default length of a jQuery object is 0 + length: 0, + + toArray: function() { + return slice.call( this ); + }, + + // Get the Nth element in the matched element set OR + // Get the whole matched element set as a clean array + get: function( num ) { + + // Return all the elements in a clean array + if ( num == null ) { + return slice.call( this ); + } + + // Return just the one element from the set + return num < 0 ? this[ num + this.length ] : this[ num ]; + }, + + // Take an array of elements and push it onto the stack + // (returning the new matched element set) + pushStack: function( elems ) { + + // Build a new jQuery matched element set + var ret = jQuery.merge( this.constructor(), elems ); + + // Add the old object onto the stack (as a reference) + ret.prevObject = this; + + // Return the newly-formed element set + return ret; + }, + + // Execute a callback for every element in the matched set. + each: function( callback ) { + return jQuery.each( this, callback ); + }, + + map: function( callback ) { + return this.pushStack( jQuery.map( this, function( elem, i ) { + return callback.call( elem, i, elem ); + } ) ); + }, + + slice: function() { + return this.pushStack( slice.apply( this, arguments ) ); + }, + + first: function() { + return this.eq( 0 ); + }, + + last: function() { + return this.eq( -1 ); + }, + + eq: function( i ) { + var len = this.length, + j = +i + ( i < 0 ? len : 0 ); + return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] ); + }, + + end: function() { + return this.prevObject || this.constructor(); + }, + + // For internal use only. + // Behaves like an Array's method, not like a jQuery method. + push: push, + sort: arr.sort, + splice: arr.splice +}; + +jQuery.extend = jQuery.fn.extend = function() { + var options, name, src, copy, copyIsArray, clone, + target = arguments[ 0 ] || {}, + i = 1, + length = arguments.length, + deep = false; + + // Handle a deep copy situation + if ( typeof target === "boolean" ) { + deep = target; + + // Skip the boolean and the target + target = arguments[ i ] || {}; + i++; + } + + // Handle case when target is a string or something (possible in deep copy) + if ( typeof target !== "object" && !jQuery.isFunction( target ) ) { + target = {}; + } + + // Extend jQuery itself if only one argument is passed + if ( i === length ) { + target = this; + i--; + } + + for ( ; i < length; i++ ) { + + // Only deal with non-null/undefined values + if ( ( options = arguments[ i ] ) != null ) { + + // Extend the base object + for ( name in options ) { + src = target[ name ]; + copy = options[ name ]; + + // Prevent never-ending loop + if ( target === copy ) { + continue; + } + + // Recurse if we're merging plain objects or arrays + if ( deep && copy && ( jQuery.isPlainObject( copy ) || + ( copyIsArray = Array.isArray( copy ) ) ) ) { + + if ( copyIsArray ) { + copyIsArray = false; + clone = src && Array.isArray( src ) ? src : []; + + } else { + clone = src && jQuery.isPlainObject( src ) ? src : {}; + } + + // Never move original objects, clone them + target[ name ] = jQuery.extend( deep, clone, copy ); + + // Don't bring in undefined values + } else if ( copy !== undefined ) { + target[ name ] = copy; + } + } + } + } + + // Return the modified object + return target; +}; + +jQuery.extend( { + + // Unique for each copy of jQuery on the page + expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ), + + // Assume jQuery is ready without the ready module + isReady: true, + + error: function( msg ) { + throw new Error( msg ); + }, + + noop: function() {}, + + isFunction: function( obj ) { + return jQuery.type( obj ) === "function"; + }, + + isWindow: function( obj ) { + return obj != null && obj === obj.window; + }, + + isNumeric: function( obj ) { + + // As of jQuery 3.0, isNumeric is limited to + // strings and numbers (primitives or objects) + // that can be coerced to finite numbers (gh-2662) + var type = jQuery.type( obj ); + return ( type === "number" || type === "string" ) && + + // parseFloat NaNs numeric-cast false positives ("") + // ...but misinterprets leading-number strings, particularly hex literals ("0x...") + // subtraction forces infinities to NaN + !isNaN( obj - parseFloat( obj ) ); + }, + + isPlainObject: function( obj ) { + var proto, Ctor; + + // Detect obvious negatives + // Use toString instead of jQuery.type to catch host objects + if ( !obj || toString.call( obj ) !== "[object Object]" ) { + return false; + } + + proto = getProto( obj ); + + // Objects with no prototype (e.g., `Object.create( null )`) are plain + if ( !proto ) { + return true; + } + + // Objects with prototype are plain iff they were constructed by a global Object function + Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor; + return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString; + }, + + isEmptyObject: function( obj ) { + + /* eslint-disable no-unused-vars */ + // See https://github.com/eslint/eslint/issues/6125 + var name; + + for ( name in obj ) { + return false; + } + return true; + }, + + type: function( obj ) { + if ( obj == null ) { + return obj + ""; + } + + // Support: Android <=2.3 only (functionish RegExp) + return typeof obj === "object" || typeof obj === "function" ? + class2type[ toString.call( obj ) ] || "object" : + typeof obj; + }, + + // Evaluates a script in a global context + globalEval: function( code ) { + DOMEval( code ); + }, + + // Convert dashed to camelCase; used by the css and data modules + // Support: IE <=9 - 11, Edge 12 - 13 + // Microsoft forgot to hump their vendor prefix (#9572) + camelCase: function( string ) { + return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); + }, + + each: function( obj, callback ) { + var length, i = 0; + + if ( isArrayLike( obj ) ) { + length = obj.length; + for ( ; i < length; i++ ) { + if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { + break; + } + } + } else { + for ( i in obj ) { + if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { + break; + } + } + } + + return obj; + }, + + // Support: Android <=4.0 only + trim: function( text ) { + return text == null ? + "" : + ( text + "" ).replace( rtrim, "" ); + }, + + // results is for internal usage only + makeArray: function( arr, results ) { + var ret = results || []; + + if ( arr != null ) { + if ( isArrayLike( Object( arr ) ) ) { + jQuery.merge( ret, + typeof arr === "string" ? + [ arr ] : arr + ); + } else { + push.call( ret, arr ); + } + } + + return ret; + }, + + inArray: function( elem, arr, i ) { + return arr == null ? -1 : indexOf.call( arr, elem, i ); + }, + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + merge: function( first, second ) { + var len = +second.length, + j = 0, + i = first.length; + + for ( ; j < len; j++ ) { + first[ i++ ] = second[ j ]; + } + + first.length = i; + + return first; + }, + + grep: function( elems, callback, invert ) { + var callbackInverse, + matches = [], + i = 0, + length = elems.length, + callbackExpect = !invert; + + // Go through the array, only saving the items + // that pass the validator function + for ( ; i < length; i++ ) { + callbackInverse = !callback( elems[ i ], i ); + if ( callbackInverse !== callbackExpect ) { + matches.push( elems[ i ] ); + } + } + + return matches; + }, + + // arg is for internal usage only + map: function( elems, callback, arg ) { + var length, value, + i = 0, + ret = []; + + // Go through the array, translating each of the items to their new values + if ( isArrayLike( elems ) ) { + length = elems.length; + for ( ; i < length; i++ ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret.push( value ); + } + } + + // Go through every key on the object, + } else { + for ( i in elems ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret.push( value ); + } + } + } + + // Flatten any nested arrays + return concat.apply( [], ret ); + }, + + // A global GUID counter for objects + guid: 1, + + // Bind a function to a context, optionally partially applying any + // arguments. + proxy: function( fn, context ) { + var tmp, args, proxy; + + if ( typeof context === "string" ) { + tmp = fn[ context ]; + context = fn; + fn = tmp; + } + + // Quick check to determine if target is callable, in the spec + // this throws a TypeError, but we will just return undefined. + if ( !jQuery.isFunction( fn ) ) { + return undefined; + } + + // Simulated bind + args = slice.call( arguments, 2 ); + proxy = function() { + return fn.apply( context || this, args.concat( slice.call( arguments ) ) ); + }; + + // Set the guid of unique handler to the same of original handler, so it can be removed + proxy.guid = fn.guid = fn.guid || jQuery.guid++; + + return proxy; + }, + + now: Date.now, + + // jQuery.support is not used in Core but other projects attach their + // properties to it so it needs to exist. + support: support +} ); + +if ( typeof Symbol === "function" ) { + jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ]; +} + +// Populate the class2type map +jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ), +function( i, name ) { + class2type[ "[object " + name + "]" ] = name.toLowerCase(); +} ); + +function isArrayLike( obj ) { + + // Support: real iOS 8.2 only (not reproducible in simulator) + // `in` check used to prevent JIT error (gh-2145) + // hasOwn isn't used here due to false negatives + // regarding Nodelist length in IE + var length = !!obj && "length" in obj && obj.length, + type = jQuery.type( obj ); + + if ( type === "function" || jQuery.isWindow( obj ) ) { + return false; + } + + return type === "array" || length === 0 || + typeof length === "number" && length > 0 && ( length - 1 ) in obj; +} +var Sizzle = +/*! + * Sizzle CSS Selector Engine v2.3.3 + * https://sizzlejs.com/ + * + * Copyright jQuery Foundation and other contributors + * Released under the MIT license + * http://jquery.org/license + * + * Date: 2016-08-08 + */ +(function( window ) { + +var i, + support, + Expr, + getText, + isXML, + tokenize, + compile, + select, + outermostContext, + sortInput, + hasDuplicate, + + // Local document vars + setDocument, + document, + docElem, + documentIsHTML, + rbuggyQSA, + rbuggyMatches, + matches, + contains, + + // Instance-specific data + expando = "sizzle" + 1 * new Date(), + preferredDoc = window.document, + dirruns = 0, + done = 0, + classCache = createCache(), + tokenCache = createCache(), + compilerCache = createCache(), + sortOrder = function( a, b ) { + if ( a === b ) { + hasDuplicate = true; + } + return 0; + }, + + // Instance methods + hasOwn = ({}).hasOwnProperty, + arr = [], + pop = arr.pop, + push_native = arr.push, + push = arr.push, + slice = arr.slice, + // Use a stripped-down indexOf as it's faster than native + // https://jsperf.com/thor-indexof-vs-for/5 + indexOf = function( list, elem ) { + var i = 0, + len = list.length; + for ( ; i < len; i++ ) { + if ( list[i] === elem ) { + return i; + } + } + return -1; + }, + + booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped", + + // Regular expressions + + // http://www.w3.org/TR/css3-selectors/#whitespace + whitespace = "[\\x20\\t\\r\\n\\f]", + + // http://www.w3.org/TR/CSS21/syndata.html#value-def-identifier + identifier = "(?:\\\\.|[\\w-]|[^\0-\\xa0])+", + + // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors + attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace + + // Operator (capture 2) + "*([*^$|!~]?=)" + whitespace + + // "Attribute values must be CSS identifiers [capture 5] or strings [capture 3 or capture 4]" + "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + whitespace + + "*\\]", + + pseudos = ":(" + identifier + ")(?:\\((" + + // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: + // 1. quoted (capture 3; capture 4 or capture 5) + "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + + // 2. simple (capture 6) + "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + + // 3. anything else (capture 2) + ".*" + + ")\\)|)", + + // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter + rwhitespace = new RegExp( whitespace + "+", "g" ), + rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + whitespace + "+$", "g" ), + + rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), + rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + "*" ), + + rattributeQuotes = new RegExp( "=" + whitespace + "*([^\\]'\"]*?)" + whitespace + "*\\]", "g" ), + + rpseudo = new RegExp( pseudos ), + ridentifier = new RegExp( "^" + identifier + "$" ), + + matchExpr = { + "ID": new RegExp( "^#(" + identifier + ")" ), + "CLASS": new RegExp( "^\\.(" + identifier + ")" ), + "TAG": new RegExp( "^(" + identifier + "|[*])" ), + "ATTR": new RegExp( "^" + attributes ), + "PSEUDO": new RegExp( "^" + pseudos ), + "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + whitespace + + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + whitespace + + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), + "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), + // For use in libraries implementing .is() + // We use this for POS matching in `select` + "needsContext": new RegExp( "^" + whitespace + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + + whitespace + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) + }, + + rinputs = /^(?:input|select|textarea|button)$/i, + rheader = /^h\d$/i, + + rnative = /^[^{]+\{\s*\[native \w/, + + // Easily-parseable/retrievable ID or TAG or CLASS selectors + rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, + + rsibling = /[+~]/, + + // CSS escapes + // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters + runescape = new RegExp( "\\\\([\\da-f]{1,6}" + whitespace + "?|(" + whitespace + ")|.)", "ig" ), + funescape = function( _, escaped, escapedWhitespace ) { + var high = "0x" + escaped - 0x10000; + // NaN means non-codepoint + // Support: Firefox<24 + // Workaround erroneous numeric interpretation of +"0x" + return high !== high || escapedWhitespace ? + escaped : + high < 0 ? + // BMP codepoint + String.fromCharCode( high + 0x10000 ) : + // Supplemental Plane codepoint (surrogate pair) + String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); + }, + + // CSS string/identifier serialization + // https://drafts.csswg.org/cssom/#common-serializing-idioms + rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g, + fcssescape = function( ch, asCodePoint ) { + if ( asCodePoint ) { + + // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER + if ( ch === "\0" ) { + return "\uFFFD"; + } + + // Control characters and (dependent upon position) numbers get escaped as code points + return ch.slice( 0, -1 ) + "\\" + ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " "; + } + + // Other potentially-special ASCII characters get backslash-escaped + return "\\" + ch; + }, + + // Used for iframes + // See setDocument() + // Removing the function wrapper causes a "Permission Denied" + // error in IE + unloadHandler = function() { + setDocument(); + }, + + disabledAncestor = addCombinator( + function( elem ) { + return elem.disabled === true && ("form" in elem || "label" in elem); + }, + { dir: "parentNode", next: "legend" } + ); + +// Optimize for push.apply( _, NodeList ) +try { + push.apply( + (arr = slice.call( preferredDoc.childNodes )), + preferredDoc.childNodes + ); + // Support: Android<4.0 + // Detect silently failing push.apply + arr[ preferredDoc.childNodes.length ].nodeType; +} catch ( e ) { + push = { apply: arr.length ? + + // Leverage slice if possible + function( target, els ) { + push_native.apply( target, slice.call(els) ); + } : + + // Support: IE<9 + // Otherwise append directly + function( target, els ) { + var j = target.length, + i = 0; + // Can't trust NodeList.length + while ( (target[j++] = els[i++]) ) {} + target.length = j - 1; + } + }; +} + +function Sizzle( selector, context, results, seed ) { + var m, i, elem, nid, match, groups, newSelector, + newContext = context && context.ownerDocument, + + // nodeType defaults to 9, since context defaults to document + nodeType = context ? context.nodeType : 9; + + results = results || []; + + // Return early from calls with invalid selector or context + if ( typeof selector !== "string" || !selector || + nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) { + + return results; + } + + // Try to shortcut find operations (as opposed to filters) in HTML documents + if ( !seed ) { + + if ( ( context ? context.ownerDocument || context : preferredDoc ) !== document ) { + setDocument( context ); + } + context = context || document; + + if ( documentIsHTML ) { + + // If the selector is sufficiently simple, try using a "get*By*" DOM method + // (excepting DocumentFragment context, where the methods don't exist) + if ( nodeType !== 11 && (match = rquickExpr.exec( selector )) ) { + + // ID selector + if ( (m = match[1]) ) { + + // Document context + if ( nodeType === 9 ) { + if ( (elem = context.getElementById( m )) ) { + + // Support: IE, Opera, Webkit + // TODO: identify versions + // getElementById can match elements by name instead of ID + if ( elem.id === m ) { + results.push( elem ); + return results; + } + } else { + return results; + } + + // Element context + } else { + + // Support: IE, Opera, Webkit + // TODO: identify versions + // getElementById can match elements by name instead of ID + if ( newContext && (elem = newContext.getElementById( m )) && + contains( context, elem ) && + elem.id === m ) { + + results.push( elem ); + return results; + } + } + + // Type selector + } else if ( match[2] ) { + push.apply( results, context.getElementsByTagName( selector ) ); + return results; + + // Class selector + } else if ( (m = match[3]) && support.getElementsByClassName && + context.getElementsByClassName ) { + + push.apply( results, context.getElementsByClassName( m ) ); + return results; + } + } + + // Take advantage of querySelectorAll + if ( support.qsa && + !compilerCache[ selector + " " ] && + (!rbuggyQSA || !rbuggyQSA.test( selector )) ) { + + if ( nodeType !== 1 ) { + newContext = context; + newSelector = selector; + + // qSA looks outside Element context, which is not what we want + // Thanks to Andrew Dupont for this workaround technique + // Support: IE <=8 + // Exclude object elements + } else if ( context.nodeName.toLowerCase() !== "object" ) { + + // Capture the context ID, setting it first if necessary + if ( (nid = context.getAttribute( "id" )) ) { + nid = nid.replace( rcssescape, fcssescape ); + } else { + context.setAttribute( "id", (nid = expando) ); + } + + // Prefix every selector in the list + groups = tokenize( selector ); + i = groups.length; + while ( i-- ) { + groups[i] = "#" + nid + " " + toSelector( groups[i] ); + } + newSelector = groups.join( "," ); + + // Expand context for sibling selectors + newContext = rsibling.test( selector ) && testContext( context.parentNode ) || + context; + } + + if ( newSelector ) { + try { + push.apply( results, + newContext.querySelectorAll( newSelector ) + ); + return results; + } catch ( qsaError ) { + } finally { + if ( nid === expando ) { + context.removeAttribute( "id" ); + } + } + } + } + } + } + + // All others + return select( selector.replace( rtrim, "$1" ), context, results, seed ); +} + +/** + * Create key-value caches of limited size + * @returns {function(string, object)} Returns the Object data after storing it on itself with + * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) + * deleting the oldest entry + */ +function createCache() { + var keys = []; + + function cache( key, value ) { + // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) + if ( keys.push( key + " " ) > Expr.cacheLength ) { + // Only keep the most recent entries + delete cache[ keys.shift() ]; + } + return (cache[ key + " " ] = value); + } + return cache; +} + +/** + * Mark a function for special use by Sizzle + * @param {Function} fn The function to mark + */ +function markFunction( fn ) { + fn[ expando ] = true; + return fn; +} + +/** + * Support testing using an element + * @param {Function} fn Passed the created element and returns a boolean result + */ +function assert( fn ) { + var el = document.createElement("fieldset"); + + try { + return !!fn( el ); + } catch (e) { + return false; + } finally { + // Remove from its parent by default + if ( el.parentNode ) { + el.parentNode.removeChild( el ); + } + // release memory in IE + el = null; + } +} + +/** + * Adds the same handler for all of the specified attrs + * @param {String} attrs Pipe-separated list of attributes + * @param {Function} handler The method that will be applied + */ +function addHandle( attrs, handler ) { + var arr = attrs.split("|"), + i = arr.length; + + while ( i-- ) { + Expr.attrHandle[ arr[i] ] = handler; + } +} + +/** + * Checks document order of two siblings + * @param {Element} a + * @param {Element} b + * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b + */ +function siblingCheck( a, b ) { + var cur = b && a, + diff = cur && a.nodeType === 1 && b.nodeType === 1 && + a.sourceIndex - b.sourceIndex; + + // Use IE sourceIndex if available on both nodes + if ( diff ) { + return diff; + } + + // Check if b follows a + if ( cur ) { + while ( (cur = cur.nextSibling) ) { + if ( cur === b ) { + return -1; + } + } + } + + return a ? 1 : -1; +} + +/** + * Returns a function to use in pseudos for input types + * @param {String} type + */ +function createInputPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === type; + }; +} + +/** + * Returns a function to use in pseudos for buttons + * @param {String} type + */ +function createButtonPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return (name === "input" || name === "button") && elem.type === type; + }; +} + +/** + * Returns a function to use in pseudos for :enabled/:disabled + * @param {Boolean} disabled true for :disabled; false for :enabled + */ +function createDisabledPseudo( disabled ) { + + // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable + return function( elem ) { + + // Only certain elements can match :enabled or :disabled + // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled + // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled + if ( "form" in elem ) { + + // Check for inherited disabledness on relevant non-disabled elements: + // * listed form-associated elements in a disabled fieldset + // https://html.spec.whatwg.org/multipage/forms.html#category-listed + // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled + // * option elements in a disabled optgroup + // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled + // All such elements have a "form" property. + if ( elem.parentNode && elem.disabled === false ) { + + // Option elements defer to a parent optgroup if present + if ( "label" in elem ) { + if ( "label" in elem.parentNode ) { + return elem.parentNode.disabled === disabled; + } else { + return elem.disabled === disabled; + } + } + + // Support: IE 6 - 11 + // Use the isDisabled shortcut property to check for disabled fieldset ancestors + return elem.isDisabled === disabled || + + // Where there is no isDisabled, check manually + /* jshint -W018 */ + elem.isDisabled !== !disabled && + disabledAncestor( elem ) === disabled; + } + + return elem.disabled === disabled; + + // Try to winnow out elements that can't be disabled before trusting the disabled property. + // Some victims get caught in our net (label, legend, menu, track), but it shouldn't + // even exist on them, let alone have a boolean value. + } else if ( "label" in elem ) { + return elem.disabled === disabled; + } + + // Remaining elements are neither :enabled nor :disabled + return false; + }; +} + +/** + * Returns a function to use in pseudos for positionals + * @param {Function} fn + */ +function createPositionalPseudo( fn ) { + return markFunction(function( argument ) { + argument = +argument; + return markFunction(function( seed, matches ) { + var j, + matchIndexes = fn( [], seed.length, argument ), + i = matchIndexes.length; + + // Match elements found at the specified indexes + while ( i-- ) { + if ( seed[ (j = matchIndexes[i]) ] ) { + seed[j] = !(matches[j] = seed[j]); + } + } + }); + }); +} + +/** + * Checks a node for validity as a Sizzle context + * @param {Element|Object=} context + * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value + */ +function testContext( context ) { + return context && typeof context.getElementsByTagName !== "undefined" && context; +} + +// Expose support vars for convenience +support = Sizzle.support = {}; + +/** + * Detects XML nodes + * @param {Element|Object} elem An element or a document + * @returns {Boolean} True iff elem is a non-HTML XML node + */ +isXML = Sizzle.isXML = function( elem ) { + // documentElement is verified for cases where it doesn't yet exist + // (such as loading iframes in IE - #4833) + var documentElement = elem && (elem.ownerDocument || elem).documentElement; + return documentElement ? documentElement.nodeName !== "HTML" : false; +}; + +/** + * Sets document-related variables once based on the current document + * @param {Element|Object} [doc] An element or document object to use to set the document + * @returns {Object} Returns the current document + */ +setDocument = Sizzle.setDocument = function( node ) { + var hasCompare, subWindow, + doc = node ? node.ownerDocument || node : preferredDoc; + + // Return early if doc is invalid or already selected + if ( doc === document || doc.nodeType !== 9 || !doc.documentElement ) { + return document; + } + + // Update global variables + document = doc; + docElem = document.documentElement; + documentIsHTML = !isXML( document ); + + // Support: IE 9-11, Edge + // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936) + if ( preferredDoc !== document && + (subWindow = document.defaultView) && subWindow.top !== subWindow ) { + + // Support: IE 11, Edge + if ( subWindow.addEventListener ) { + subWindow.addEventListener( "unload", unloadHandler, false ); + + // Support: IE 9 - 10 only + } else if ( subWindow.attachEvent ) { + subWindow.attachEvent( "onunload", unloadHandler ); + } + } + + /* Attributes + ---------------------------------------------------------------------- */ + + // Support: IE<8 + // Verify that getAttribute really returns attributes and not properties + // (excepting IE8 booleans) + support.attributes = assert(function( el ) { + el.className = "i"; + return !el.getAttribute("className"); + }); + + /* getElement(s)By* + ---------------------------------------------------------------------- */ + + // Check if getElementsByTagName("*") returns only elements + support.getElementsByTagName = assert(function( el ) { + el.appendChild( document.createComment("") ); + return !el.getElementsByTagName("*").length; + }); + + // Support: IE<9 + support.getElementsByClassName = rnative.test( document.getElementsByClassName ); + + // Support: IE<10 + // Check if getElementById returns elements by name + // The broken getElementById methods don't pick up programmatically-set names, + // so use a roundabout getElementsByName test + support.getById = assert(function( el ) { + docElem.appendChild( el ).id = expando; + return !document.getElementsByName || !document.getElementsByName( expando ).length; + }); + + // ID filter and find + if ( support.getById ) { + Expr.filter["ID"] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + return elem.getAttribute("id") === attrId; + }; + }; + Expr.find["ID"] = function( id, context ) { + if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { + var elem = context.getElementById( id ); + return elem ? [ elem ] : []; + } + }; + } else { + Expr.filter["ID"] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + var node = typeof elem.getAttributeNode !== "undefined" && + elem.getAttributeNode("id"); + return node && node.value === attrId; + }; + }; + + // Support: IE 6 - 7 only + // getElementById is not reliable as a find shortcut + Expr.find["ID"] = function( id, context ) { + if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { + var node, i, elems, + elem = context.getElementById( id ); + + if ( elem ) { + + // Verify the id attribute + node = elem.getAttributeNode("id"); + if ( node && node.value === id ) { + return [ elem ]; + } + + // Fall back on getElementsByName + elems = context.getElementsByName( id ); + i = 0; + while ( (elem = elems[i++]) ) { + node = elem.getAttributeNode("id"); + if ( node && node.value === id ) { + return [ elem ]; + } + } + } + + return []; + } + }; + } + + // Tag + Expr.find["TAG"] = support.getElementsByTagName ? + function( tag, context ) { + if ( typeof context.getElementsByTagName !== "undefined" ) { + return context.getElementsByTagName( tag ); + + // DocumentFragment nodes don't have gEBTN + } else if ( support.qsa ) { + return context.querySelectorAll( tag ); + } + } : + + function( tag, context ) { + var elem, + tmp = [], + i = 0, + // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too + results = context.getElementsByTagName( tag ); + + // Filter out possible comments + if ( tag === "*" ) { + while ( (elem = results[i++]) ) { + if ( elem.nodeType === 1 ) { + tmp.push( elem ); + } + } + + return tmp; + } + return results; + }; + + // Class + Expr.find["CLASS"] = support.getElementsByClassName && function( className, context ) { + if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) { + return context.getElementsByClassName( className ); + } + }; + + /* QSA/matchesSelector + ---------------------------------------------------------------------- */ + + // QSA and matchesSelector support + + // matchesSelector(:active) reports false when true (IE9/Opera 11.5) + rbuggyMatches = []; + + // qSa(:focus) reports false when true (Chrome 21) + // We allow this because of a bug in IE8/9 that throws an error + // whenever `document.activeElement` is accessed on an iframe + // So, we allow :focus to pass through QSA all the time to avoid the IE error + // See https://bugs.jquery.com/ticket/13378 + rbuggyQSA = []; + + if ( (support.qsa = rnative.test( document.querySelectorAll )) ) { + // Build QSA regex + // Regex strategy adopted from Diego Perini + assert(function( el ) { + // Select is set to empty string on purpose + // This is to test IE's treatment of not explicitly + // setting a boolean content attribute, + // since its presence should be enough + // https://bugs.jquery.com/ticket/12359 + docElem.appendChild( el ).innerHTML = "" + + ""; + + // Support: IE8, Opera 11-12.16 + // Nothing should be selected when empty strings follow ^= or $= or *= + // The test attribute must be unknown in Opera but "safe" for WinRT + // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section + if ( el.querySelectorAll("[msallowcapture^='']").length ) { + rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); + } + + // Support: IE8 + // Boolean attributes and "value" are not treated correctly + if ( !el.querySelectorAll("[selected]").length ) { + rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); + } + + // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+ + if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) { + rbuggyQSA.push("~="); + } + + // Webkit/Opera - :checked should return selected option elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + // IE8 throws error here and will not see later tests + if ( !el.querySelectorAll(":checked").length ) { + rbuggyQSA.push(":checked"); + } + + // Support: Safari 8+, iOS 8+ + // https://bugs.webkit.org/show_bug.cgi?id=136851 + // In-page `selector#id sibling-combinator selector` fails + if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) { + rbuggyQSA.push(".#.+[+~]"); + } + }); + + assert(function( el ) { + el.innerHTML = "" + + ""; + + // Support: Windows 8 Native Apps + // The type and name attributes are restricted during .innerHTML assignment + var input = document.createElement("input"); + input.setAttribute( "type", "hidden" ); + el.appendChild( input ).setAttribute( "name", "D" ); + + // Support: IE8 + // Enforce case-sensitivity of name attribute + if ( el.querySelectorAll("[name=d]").length ) { + rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); + } + + // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) + // IE8 throws error here and will not see later tests + if ( el.querySelectorAll(":enabled").length !== 2 ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Support: IE9-11+ + // IE's :disabled selector does not pick up the children of disabled fieldsets + docElem.appendChild( el ).disabled = true; + if ( el.querySelectorAll(":disabled").length !== 2 ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Opera 10-11 does not throw on post-comma invalid pseudos + el.querySelectorAll("*,:x"); + rbuggyQSA.push(",.*:"); + }); + } + + if ( (support.matchesSelector = rnative.test( (matches = docElem.matches || + docElem.webkitMatchesSelector || + docElem.mozMatchesSelector || + docElem.oMatchesSelector || + docElem.msMatchesSelector) )) ) { + + assert(function( el ) { + // Check to see if it's possible to do matchesSelector + // on a disconnected node (IE 9) + support.disconnectedMatch = matches.call( el, "*" ); + + // This should fail with an exception + // Gecko does not error, returns false instead + matches.call( el, "[s!='']:x" ); + rbuggyMatches.push( "!=", pseudos ); + }); + } + + rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join("|") ); + rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join("|") ); + + /* Contains + ---------------------------------------------------------------------- */ + hasCompare = rnative.test( docElem.compareDocumentPosition ); + + // Element contains another + // Purposefully self-exclusive + // As in, an element does not contain itself + contains = hasCompare || rnative.test( docElem.contains ) ? + function( a, b ) { + var adown = a.nodeType === 9 ? a.documentElement : a, + bup = b && b.parentNode; + return a === bup || !!( bup && bup.nodeType === 1 && ( + adown.contains ? + adown.contains( bup ) : + a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 + )); + } : + function( a, b ) { + if ( b ) { + while ( (b = b.parentNode) ) { + if ( b === a ) { + return true; + } + } + } + return false; + }; + + /* Sorting + ---------------------------------------------------------------------- */ + + // Document order sorting + sortOrder = hasCompare ? + function( a, b ) { + + // Flag for duplicate removal + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + // Sort on method existence if only one input has compareDocumentPosition + var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; + if ( compare ) { + return compare; + } + + // Calculate position if both inputs belong to the same document + compare = ( a.ownerDocument || a ) === ( b.ownerDocument || b ) ? + a.compareDocumentPosition( b ) : + + // Otherwise we know they are disconnected + 1; + + // Disconnected nodes + if ( compare & 1 || + (!support.sortDetached && b.compareDocumentPosition( a ) === compare) ) { + + // Choose the first element that is related to our preferred document + if ( a === document || a.ownerDocument === preferredDoc && contains(preferredDoc, a) ) { + return -1; + } + if ( b === document || b.ownerDocument === preferredDoc && contains(preferredDoc, b) ) { + return 1; + } + + // Maintain original order + return sortInput ? + ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : + 0; + } + + return compare & 4 ? -1 : 1; + } : + function( a, b ) { + // Exit early if the nodes are identical + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + var cur, + i = 0, + aup = a.parentNode, + bup = b.parentNode, + ap = [ a ], + bp = [ b ]; + + // Parentless nodes are either documents or disconnected + if ( !aup || !bup ) { + return a === document ? -1 : + b === document ? 1 : + aup ? -1 : + bup ? 1 : + sortInput ? + ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : + 0; + + // If the nodes are siblings, we can do a quick check + } else if ( aup === bup ) { + return siblingCheck( a, b ); + } + + // Otherwise we need full lists of their ancestors for comparison + cur = a; + while ( (cur = cur.parentNode) ) { + ap.unshift( cur ); + } + cur = b; + while ( (cur = cur.parentNode) ) { + bp.unshift( cur ); + } + + // Walk down the tree looking for a discrepancy + while ( ap[i] === bp[i] ) { + i++; + } + + return i ? + // Do a sibling check if the nodes have a common ancestor + siblingCheck( ap[i], bp[i] ) : + + // Otherwise nodes in our document sort first + ap[i] === preferredDoc ? -1 : + bp[i] === preferredDoc ? 1 : + 0; + }; + + return document; +}; + +Sizzle.matches = function( expr, elements ) { + return Sizzle( expr, null, null, elements ); +}; + +Sizzle.matchesSelector = function( elem, expr ) { + // Set document vars if needed + if ( ( elem.ownerDocument || elem ) !== document ) { + setDocument( elem ); + } + + // Make sure that attribute selectors are quoted + expr = expr.replace( rattributeQuotes, "='$1']" ); + + if ( support.matchesSelector && documentIsHTML && + !compilerCache[ expr + " " ] && + ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && + ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { + + try { + var ret = matches.call( elem, expr ); + + // IE 9's matchesSelector returns false on disconnected nodes + if ( ret || support.disconnectedMatch || + // As well, disconnected nodes are said to be in a document + // fragment in IE 9 + elem.document && elem.document.nodeType !== 11 ) { + return ret; + } + } catch (e) {} + } + + return Sizzle( expr, document, null, [ elem ] ).length > 0; +}; + +Sizzle.contains = function( context, elem ) { + // Set document vars if needed + if ( ( context.ownerDocument || context ) !== document ) { + setDocument( context ); + } + return contains( context, elem ); +}; + +Sizzle.attr = function( elem, name ) { + // Set document vars if needed + if ( ( elem.ownerDocument || elem ) !== document ) { + setDocument( elem ); + } + + var fn = Expr.attrHandle[ name.toLowerCase() ], + // Don't get fooled by Object.prototype properties (jQuery #13807) + val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? + fn( elem, name, !documentIsHTML ) : + undefined; + + return val !== undefined ? + val : + support.attributes || !documentIsHTML ? + elem.getAttribute( name ) : + (val = elem.getAttributeNode(name)) && val.specified ? + val.value : + null; +}; + +Sizzle.escape = function( sel ) { + return (sel + "").replace( rcssescape, fcssescape ); +}; + +Sizzle.error = function( msg ) { + throw new Error( "Syntax error, unrecognized expression: " + msg ); +}; + +/** + * Document sorting and removing duplicates + * @param {ArrayLike} results + */ +Sizzle.uniqueSort = function( results ) { + var elem, + duplicates = [], + j = 0, + i = 0; + + // Unless we *know* we can detect duplicates, assume their presence + hasDuplicate = !support.detectDuplicates; + sortInput = !support.sortStable && results.slice( 0 ); + results.sort( sortOrder ); + + if ( hasDuplicate ) { + while ( (elem = results[i++]) ) { + if ( elem === results[ i ] ) { + j = duplicates.push( i ); + } + } + while ( j-- ) { + results.splice( duplicates[ j ], 1 ); + } + } + + // Clear input after sorting to release objects + // See https://github.com/jquery/sizzle/pull/225 + sortInput = null; + + return results; +}; + +/** + * Utility function for retrieving the text value of an array of DOM nodes + * @param {Array|Element} elem + */ +getText = Sizzle.getText = function( elem ) { + var node, + ret = "", + i = 0, + nodeType = elem.nodeType; + + if ( !nodeType ) { + // If no nodeType, this is expected to be an array + while ( (node = elem[i++]) ) { + // Do not traverse comment nodes + ret += getText( node ); + } + } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { + // Use textContent for elements + // innerText usage removed for consistency of new lines (jQuery #11153) + if ( typeof elem.textContent === "string" ) { + return elem.textContent; + } else { + // Traverse its children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + ret += getText( elem ); + } + } + } else if ( nodeType === 3 || nodeType === 4 ) { + return elem.nodeValue; + } + // Do not include comment or processing instruction nodes + + return ret; +}; + +Expr = Sizzle.selectors = { + + // Can be adjusted by the user + cacheLength: 50, + + createPseudo: markFunction, + + match: matchExpr, + + attrHandle: {}, + + find: {}, + + relative: { + ">": { dir: "parentNode", first: true }, + " ": { dir: "parentNode" }, + "+": { dir: "previousSibling", first: true }, + "~": { dir: "previousSibling" } + }, + + preFilter: { + "ATTR": function( match ) { + match[1] = match[1].replace( runescape, funescape ); + + // Move the given value to match[3] whether quoted or unquoted + match[3] = ( match[3] || match[4] || match[5] || "" ).replace( runescape, funescape ); + + if ( match[2] === "~=" ) { + match[3] = " " + match[3] + " "; + } + + return match.slice( 0, 4 ); + }, + + "CHILD": function( match ) { + /* matches from matchExpr["CHILD"] + 1 type (only|nth|...) + 2 what (child|of-type) + 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) + 4 xn-component of xn+y argument ([+-]?\d*n|) + 5 sign of xn-component + 6 x of xn-component + 7 sign of y-component + 8 y of y-component + */ + match[1] = match[1].toLowerCase(); + + if ( match[1].slice( 0, 3 ) === "nth" ) { + // nth-* requires argument + if ( !match[3] ) { + Sizzle.error( match[0] ); + } + + // numeric x and y parameters for Expr.filter.CHILD + // remember that false/true cast respectively to 0/1 + match[4] = +( match[4] ? match[5] + (match[6] || 1) : 2 * ( match[3] === "even" || match[3] === "odd" ) ); + match[5] = +( ( match[7] + match[8] ) || match[3] === "odd" ); + + // other types prohibit arguments + } else if ( match[3] ) { + Sizzle.error( match[0] ); + } + + return match; + }, + + "PSEUDO": function( match ) { + var excess, + unquoted = !match[6] && match[2]; + + if ( matchExpr["CHILD"].test( match[0] ) ) { + return null; + } + + // Accept quoted arguments as-is + if ( match[3] ) { + match[2] = match[4] || match[5] || ""; + + // Strip excess characters from unquoted arguments + } else if ( unquoted && rpseudo.test( unquoted ) && + // Get excess from tokenize (recursively) + (excess = tokenize( unquoted, true )) && + // advance to the next closing parenthesis + (excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length) ) { + + // excess is a negative index + match[0] = match[0].slice( 0, excess ); + match[2] = unquoted.slice( 0, excess ); + } + + // Return only captures needed by the pseudo filter method (type and argument) + return match.slice( 0, 3 ); + } + }, + + filter: { + + "TAG": function( nodeNameSelector ) { + var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); + return nodeNameSelector === "*" ? + function() { return true; } : + function( elem ) { + return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; + }; + }, + + "CLASS": function( className ) { + var pattern = classCache[ className + " " ]; + + return pattern || + (pattern = new RegExp( "(^|" + whitespace + ")" + className + "(" + whitespace + "|$)" )) && + classCache( className, function( elem ) { + return pattern.test( typeof elem.className === "string" && elem.className || typeof elem.getAttribute !== "undefined" && elem.getAttribute("class") || "" ); + }); + }, + + "ATTR": function( name, operator, check ) { + return function( elem ) { + var result = Sizzle.attr( elem, name ); + + if ( result == null ) { + return operator === "!="; + } + if ( !operator ) { + return true; + } + + result += ""; + + return operator === "=" ? result === check : + operator === "!=" ? result !== check : + operator === "^=" ? check && result.indexOf( check ) === 0 : + operator === "*=" ? check && result.indexOf( check ) > -1 : + operator === "$=" ? check && result.slice( -check.length ) === check : + operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 : + operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : + false; + }; + }, + + "CHILD": function( type, what, argument, first, last ) { + var simple = type.slice( 0, 3 ) !== "nth", + forward = type.slice( -4 ) !== "last", + ofType = what === "of-type"; + + return first === 1 && last === 0 ? + + // Shortcut for :nth-*(n) + function( elem ) { + return !!elem.parentNode; + } : + + function( elem, context, xml ) { + var cache, uniqueCache, outerCache, node, nodeIndex, start, + dir = simple !== forward ? "nextSibling" : "previousSibling", + parent = elem.parentNode, + name = ofType && elem.nodeName.toLowerCase(), + useCache = !xml && !ofType, + diff = false; + + if ( parent ) { + + // :(first|last|only)-(child|of-type) + if ( simple ) { + while ( dir ) { + node = elem; + while ( (node = node[ dir ]) ) { + if ( ofType ? + node.nodeName.toLowerCase() === name : + node.nodeType === 1 ) { + + return false; + } + } + // Reverse direction for :only-* (if we haven't yet done so) + start = dir = type === "only" && !start && "nextSibling"; + } + return true; + } + + start = [ forward ? parent.firstChild : parent.lastChild ]; + + // non-xml :nth-child(...) stores cache data on `parent` + if ( forward && useCache ) { + + // Seek `elem` from a previously-cached index + + // ...in a gzip-friendly way + node = parent; + outerCache = node[ expando ] || (node[ expando ] = {}); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + (outerCache[ node.uniqueID ] = {}); + + cache = uniqueCache[ type ] || []; + nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; + diff = nodeIndex && cache[ 2 ]; + node = nodeIndex && parent.childNodes[ nodeIndex ]; + + while ( (node = ++nodeIndex && node && node[ dir ] || + + // Fallback to seeking `elem` from the start + (diff = nodeIndex = 0) || start.pop()) ) { + + // When found, cache indexes on `parent` and break + if ( node.nodeType === 1 && ++diff && node === elem ) { + uniqueCache[ type ] = [ dirruns, nodeIndex, diff ]; + break; + } + } + + } else { + // Use previously-cached element index if available + if ( useCache ) { + // ...in a gzip-friendly way + node = elem; + outerCache = node[ expando ] || (node[ expando ] = {}); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + (outerCache[ node.uniqueID ] = {}); + + cache = uniqueCache[ type ] || []; + nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; + diff = nodeIndex; + } + + // xml :nth-child(...) + // or :nth-last-child(...) or :nth(-last)?-of-type(...) + if ( diff === false ) { + // Use the same loop as above to seek `elem` from the start + while ( (node = ++nodeIndex && node && node[ dir ] || + (diff = nodeIndex = 0) || start.pop()) ) { + + if ( ( ofType ? + node.nodeName.toLowerCase() === name : + node.nodeType === 1 ) && + ++diff ) { + + // Cache the index of each encountered element + if ( useCache ) { + outerCache = node[ expando ] || (node[ expando ] = {}); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + (outerCache[ node.uniqueID ] = {}); + + uniqueCache[ type ] = [ dirruns, diff ]; + } + + if ( node === elem ) { + break; + } + } + } + } + } + + // Incorporate the offset, then check against cycle size + diff -= last; + return diff === first || ( diff % first === 0 && diff / first >= 0 ); + } + }; + }, + + "PSEUDO": function( pseudo, argument ) { + // pseudo-class names are case-insensitive + // http://www.w3.org/TR/selectors/#pseudo-classes + // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters + // Remember that setFilters inherits from pseudos + var args, + fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || + Sizzle.error( "unsupported pseudo: " + pseudo ); + + // The user may use createPseudo to indicate that + // arguments are needed to create the filter function + // just as Sizzle does + if ( fn[ expando ] ) { + return fn( argument ); + } + + // But maintain support for old signatures + if ( fn.length > 1 ) { + args = [ pseudo, pseudo, "", argument ]; + return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? + markFunction(function( seed, matches ) { + var idx, + matched = fn( seed, argument ), + i = matched.length; + while ( i-- ) { + idx = indexOf( seed, matched[i] ); + seed[ idx ] = !( matches[ idx ] = matched[i] ); + } + }) : + function( elem ) { + return fn( elem, 0, args ); + }; + } + + return fn; + } + }, + + pseudos: { + // Potentially complex pseudos + "not": markFunction(function( selector ) { + // Trim the selector passed to compile + // to avoid treating leading and trailing + // spaces as combinators + var input = [], + results = [], + matcher = compile( selector.replace( rtrim, "$1" ) ); + + return matcher[ expando ] ? + markFunction(function( seed, matches, context, xml ) { + var elem, + unmatched = matcher( seed, null, xml, [] ), + i = seed.length; + + // Match elements unmatched by `matcher` + while ( i-- ) { + if ( (elem = unmatched[i]) ) { + seed[i] = !(matches[i] = elem); + } + } + }) : + function( elem, context, xml ) { + input[0] = elem; + matcher( input, null, xml, results ); + // Don't keep the element (issue #299) + input[0] = null; + return !results.pop(); + }; + }), + + "has": markFunction(function( selector ) { + return function( elem ) { + return Sizzle( selector, elem ).length > 0; + }; + }), + + "contains": markFunction(function( text ) { + text = text.replace( runescape, funescape ); + return function( elem ) { + return ( elem.textContent || elem.innerText || getText( elem ) ).indexOf( text ) > -1; + }; + }), + + // "Whether an element is represented by a :lang() selector + // is based solely on the element's language value + // being equal to the identifier C, + // or beginning with the identifier C immediately followed by "-". + // The matching of C against the element's language value is performed case-insensitively. + // The identifier C does not have to be a valid language name." + // http://www.w3.org/TR/selectors/#lang-pseudo + "lang": markFunction( function( lang ) { + // lang value must be a valid identifier + if ( !ridentifier.test(lang || "") ) { + Sizzle.error( "unsupported lang: " + lang ); + } + lang = lang.replace( runescape, funescape ).toLowerCase(); + return function( elem ) { + var elemLang; + do { + if ( (elemLang = documentIsHTML ? + elem.lang : + elem.getAttribute("xml:lang") || elem.getAttribute("lang")) ) { + + elemLang = elemLang.toLowerCase(); + return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; + } + } while ( (elem = elem.parentNode) && elem.nodeType === 1 ); + return false; + }; + }), + + // Miscellaneous + "target": function( elem ) { + var hash = window.location && window.location.hash; + return hash && hash.slice( 1 ) === elem.id; + }, + + "root": function( elem ) { + return elem === docElem; + }, + + "focus": function( elem ) { + return elem === document.activeElement && (!document.hasFocus || document.hasFocus()) && !!(elem.type || elem.href || ~elem.tabIndex); + }, + + // Boolean properties + "enabled": createDisabledPseudo( false ), + "disabled": createDisabledPseudo( true ), + + "checked": function( elem ) { + // In CSS3, :checked should return both checked and selected elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + var nodeName = elem.nodeName.toLowerCase(); + return (nodeName === "input" && !!elem.checked) || (nodeName === "option" && !!elem.selected); + }, + + "selected": function( elem ) { + // Accessing this property makes selected-by-default + // options in Safari work properly + if ( elem.parentNode ) { + elem.parentNode.selectedIndex; + } + + return elem.selected === true; + }, + + // Contents + "empty": function( elem ) { + // http://www.w3.org/TR/selectors/#empty-pseudo + // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), + // but not by others (comment: 8; processing instruction: 7; etc.) + // nodeType < 6 works because attributes (2) do not appear as children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + if ( elem.nodeType < 6 ) { + return false; + } + } + return true; + }, + + "parent": function( elem ) { + return !Expr.pseudos["empty"]( elem ); + }, + + // Element/input types + "header": function( elem ) { + return rheader.test( elem.nodeName ); + }, + + "input": function( elem ) { + return rinputs.test( elem.nodeName ); + }, + + "button": function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === "button" || name === "button"; + }, + + "text": function( elem ) { + var attr; + return elem.nodeName.toLowerCase() === "input" && + elem.type === "text" && + + // Support: IE<8 + // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" + ( (attr = elem.getAttribute("type")) == null || attr.toLowerCase() === "text" ); + }, + + // Position-in-collection + "first": createPositionalPseudo(function() { + return [ 0 ]; + }), + + "last": createPositionalPseudo(function( matchIndexes, length ) { + return [ length - 1 ]; + }), + + "eq": createPositionalPseudo(function( matchIndexes, length, argument ) { + return [ argument < 0 ? argument + length : argument ]; + }), + + "even": createPositionalPseudo(function( matchIndexes, length ) { + var i = 0; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + }), + + "odd": createPositionalPseudo(function( matchIndexes, length ) { + var i = 1; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + }), + + "lt": createPositionalPseudo(function( matchIndexes, length, argument ) { + var i = argument < 0 ? argument + length : argument; + for ( ; --i >= 0; ) { + matchIndexes.push( i ); + } + return matchIndexes; + }), + + "gt": createPositionalPseudo(function( matchIndexes, length, argument ) { + var i = argument < 0 ? argument + length : argument; + for ( ; ++i < length; ) { + matchIndexes.push( i ); + } + return matchIndexes; + }) + } +}; + +Expr.pseudos["nth"] = Expr.pseudos["eq"]; + +// Add button/input type pseudos +for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { + Expr.pseudos[ i ] = createInputPseudo( i ); +} +for ( i in { submit: true, reset: true } ) { + Expr.pseudos[ i ] = createButtonPseudo( i ); +} + +// Easy API for creating new setFilters +function setFilters() {} +setFilters.prototype = Expr.filters = Expr.pseudos; +Expr.setFilters = new setFilters(); + +tokenize = Sizzle.tokenize = function( selector, parseOnly ) { + var matched, match, tokens, type, + soFar, groups, preFilters, + cached = tokenCache[ selector + " " ]; + + if ( cached ) { + return parseOnly ? 0 : cached.slice( 0 ); + } + + soFar = selector; + groups = []; + preFilters = Expr.preFilter; + + while ( soFar ) { + + // Comma and first run + if ( !matched || (match = rcomma.exec( soFar )) ) { + if ( match ) { + // Don't consume trailing commas as valid + soFar = soFar.slice( match[0].length ) || soFar; + } + groups.push( (tokens = []) ); + } + + matched = false; + + // Combinators + if ( (match = rcombinators.exec( soFar )) ) { + matched = match.shift(); + tokens.push({ + value: matched, + // Cast descendant combinators to space + type: match[0].replace( rtrim, " " ) + }); + soFar = soFar.slice( matched.length ); + } + + // Filters + for ( type in Expr.filter ) { + if ( (match = matchExpr[ type ].exec( soFar )) && (!preFilters[ type ] || + (match = preFilters[ type ]( match ))) ) { + matched = match.shift(); + tokens.push({ + value: matched, + type: type, + matches: match + }); + soFar = soFar.slice( matched.length ); + } + } + + if ( !matched ) { + break; + } + } + + // Return the length of the invalid excess + // if we're just parsing + // Otherwise, throw an error or return tokens + return parseOnly ? + soFar.length : + soFar ? + Sizzle.error( selector ) : + // Cache the tokens + tokenCache( selector, groups ).slice( 0 ); +}; + +function toSelector( tokens ) { + var i = 0, + len = tokens.length, + selector = ""; + for ( ; i < len; i++ ) { + selector += tokens[i].value; + } + return selector; +} + +function addCombinator( matcher, combinator, base ) { + var dir = combinator.dir, + skip = combinator.next, + key = skip || dir, + checkNonElements = base && key === "parentNode", + doneName = done++; + + return combinator.first ? + // Check against closest ancestor/preceding element + function( elem, context, xml ) { + while ( (elem = elem[ dir ]) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + return matcher( elem, context, xml ); + } + } + return false; + } : + + // Check against all ancestor/preceding elements + function( elem, context, xml ) { + var oldCache, uniqueCache, outerCache, + newCache = [ dirruns, doneName ]; + + // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching + if ( xml ) { + while ( (elem = elem[ dir ]) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + if ( matcher( elem, context, xml ) ) { + return true; + } + } + } + } else { + while ( (elem = elem[ dir ]) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + outerCache = elem[ expando ] || (elem[ expando ] = {}); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ elem.uniqueID ] || (outerCache[ elem.uniqueID ] = {}); + + if ( skip && skip === elem.nodeName.toLowerCase() ) { + elem = elem[ dir ] || elem; + } else if ( (oldCache = uniqueCache[ key ]) && + oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { + + // Assign to newCache so results back-propagate to previous elements + return (newCache[ 2 ] = oldCache[ 2 ]); + } else { + // Reuse newcache so results back-propagate to previous elements + uniqueCache[ key ] = newCache; + + // A match means we're done; a fail means we have to keep checking + if ( (newCache[ 2 ] = matcher( elem, context, xml )) ) { + return true; + } + } + } + } + } + return false; + }; +} + +function elementMatcher( matchers ) { + return matchers.length > 1 ? + function( elem, context, xml ) { + var i = matchers.length; + while ( i-- ) { + if ( !matchers[i]( elem, context, xml ) ) { + return false; + } + } + return true; + } : + matchers[0]; +} + +function multipleContexts( selector, contexts, results ) { + var i = 0, + len = contexts.length; + for ( ; i < len; i++ ) { + Sizzle( selector, contexts[i], results ); + } + return results; +} + +function condense( unmatched, map, filter, context, xml ) { + var elem, + newUnmatched = [], + i = 0, + len = unmatched.length, + mapped = map != null; + + for ( ; i < len; i++ ) { + if ( (elem = unmatched[i]) ) { + if ( !filter || filter( elem, context, xml ) ) { + newUnmatched.push( elem ); + if ( mapped ) { + map.push( i ); + } + } + } + } + + return newUnmatched; +} + +function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { + if ( postFilter && !postFilter[ expando ] ) { + postFilter = setMatcher( postFilter ); + } + if ( postFinder && !postFinder[ expando ] ) { + postFinder = setMatcher( postFinder, postSelector ); + } + return markFunction(function( seed, results, context, xml ) { + var temp, i, elem, + preMap = [], + postMap = [], + preexisting = results.length, + + // Get initial elements from seed or context + elems = seed || multipleContexts( selector || "*", context.nodeType ? [ context ] : context, [] ), + + // Prefilter to get matcher input, preserving a map for seed-results synchronization + matcherIn = preFilter && ( seed || !selector ) ? + condense( elems, preMap, preFilter, context, xml ) : + elems, + + matcherOut = matcher ? + // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, + postFinder || ( seed ? preFilter : preexisting || postFilter ) ? + + // ...intermediate processing is necessary + [] : + + // ...otherwise use results directly + results : + matcherIn; + + // Find primary matches + if ( matcher ) { + matcher( matcherIn, matcherOut, context, xml ); + } + + // Apply postFilter + if ( postFilter ) { + temp = condense( matcherOut, postMap ); + postFilter( temp, [], context, xml ); + + // Un-match failing elements by moving them back to matcherIn + i = temp.length; + while ( i-- ) { + if ( (elem = temp[i]) ) { + matcherOut[ postMap[i] ] = !(matcherIn[ postMap[i] ] = elem); + } + } + } + + if ( seed ) { + if ( postFinder || preFilter ) { + if ( postFinder ) { + // Get the final matcherOut by condensing this intermediate into postFinder contexts + temp = []; + i = matcherOut.length; + while ( i-- ) { + if ( (elem = matcherOut[i]) ) { + // Restore matcherIn since elem is not yet a final match + temp.push( (matcherIn[i] = elem) ); + } + } + postFinder( null, (matcherOut = []), temp, xml ); + } + + // Move matched elements from seed to results to keep them synchronized + i = matcherOut.length; + while ( i-- ) { + if ( (elem = matcherOut[i]) && + (temp = postFinder ? indexOf( seed, elem ) : preMap[i]) > -1 ) { + + seed[temp] = !(results[temp] = elem); + } + } + } + + // Add elements to results, through postFinder if defined + } else { + matcherOut = condense( + matcherOut === results ? + matcherOut.splice( preexisting, matcherOut.length ) : + matcherOut + ); + if ( postFinder ) { + postFinder( null, results, matcherOut, xml ); + } else { + push.apply( results, matcherOut ); + } + } + }); +} + +function matcherFromTokens( tokens ) { + var checkContext, matcher, j, + len = tokens.length, + leadingRelative = Expr.relative[ tokens[0].type ], + implicitRelative = leadingRelative || Expr.relative[" "], + i = leadingRelative ? 1 : 0, + + // The foundational matcher ensures that elements are reachable from top-level context(s) + matchContext = addCombinator( function( elem ) { + return elem === checkContext; + }, implicitRelative, true ), + matchAnyContext = addCombinator( function( elem ) { + return indexOf( checkContext, elem ) > -1; + }, implicitRelative, true ), + matchers = [ function( elem, context, xml ) { + var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( + (checkContext = context).nodeType ? + matchContext( elem, context, xml ) : + matchAnyContext( elem, context, xml ) ); + // Avoid hanging onto element (issue #299) + checkContext = null; + return ret; + } ]; + + for ( ; i < len; i++ ) { + if ( (matcher = Expr.relative[ tokens[i].type ]) ) { + matchers = [ addCombinator(elementMatcher( matchers ), matcher) ]; + } else { + matcher = Expr.filter[ tokens[i].type ].apply( null, tokens[i].matches ); + + // Return special upon seeing a positional matcher + if ( matcher[ expando ] ) { + // Find the next relative operator (if any) for proper handling + j = ++i; + for ( ; j < len; j++ ) { + if ( Expr.relative[ tokens[j].type ] ) { + break; + } + } + return setMatcher( + i > 1 && elementMatcher( matchers ), + i > 1 && toSelector( + // If the preceding token was a descendant combinator, insert an implicit any-element `*` + tokens.slice( 0, i - 1 ).concat({ value: tokens[ i - 2 ].type === " " ? "*" : "" }) + ).replace( rtrim, "$1" ), + matcher, + i < j && matcherFromTokens( tokens.slice( i, j ) ), + j < len && matcherFromTokens( (tokens = tokens.slice( j )) ), + j < len && toSelector( tokens ) + ); + } + matchers.push( matcher ); + } + } + + return elementMatcher( matchers ); +} + +function matcherFromGroupMatchers( elementMatchers, setMatchers ) { + var bySet = setMatchers.length > 0, + byElement = elementMatchers.length > 0, + superMatcher = function( seed, context, xml, results, outermost ) { + var elem, j, matcher, + matchedCount = 0, + i = "0", + unmatched = seed && [], + setMatched = [], + contextBackup = outermostContext, + // We must always have either seed elements or outermost context + elems = seed || byElement && Expr.find["TAG"]( "*", outermost ), + // Use integer dirruns iff this is the outermost matcher + dirrunsUnique = (dirruns += contextBackup == null ? 1 : Math.random() || 0.1), + len = elems.length; + + if ( outermost ) { + outermostContext = context === document || context || outermost; + } + + // Add elements passing elementMatchers directly to results + // Support: IE<9, Safari + // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id + for ( ; i !== len && (elem = elems[i]) != null; i++ ) { + if ( byElement && elem ) { + j = 0; + if ( !context && elem.ownerDocument !== document ) { + setDocument( elem ); + xml = !documentIsHTML; + } + while ( (matcher = elementMatchers[j++]) ) { + if ( matcher( elem, context || document, xml) ) { + results.push( elem ); + break; + } + } + if ( outermost ) { + dirruns = dirrunsUnique; + } + } + + // Track unmatched elements for set filters + if ( bySet ) { + // They will have gone through all possible matchers + if ( (elem = !matcher && elem) ) { + matchedCount--; + } + + // Lengthen the array for every element, matched or not + if ( seed ) { + unmatched.push( elem ); + } + } + } + + // `i` is now the count of elements visited above, and adding it to `matchedCount` + // makes the latter nonnegative. + matchedCount += i; + + // Apply set filters to unmatched elements + // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount` + // equals `i`), unless we didn't visit _any_ elements in the above loop because we have + // no element matchers and no seed. + // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that + // case, which will result in a "00" `matchedCount` that differs from `i` but is also + // numerically zero. + if ( bySet && i !== matchedCount ) { + j = 0; + while ( (matcher = setMatchers[j++]) ) { + matcher( unmatched, setMatched, context, xml ); + } + + if ( seed ) { + // Reintegrate element matches to eliminate the need for sorting + if ( matchedCount > 0 ) { + while ( i-- ) { + if ( !(unmatched[i] || setMatched[i]) ) { + setMatched[i] = pop.call( results ); + } + } + } + + // Discard index placeholder values to get only actual matches + setMatched = condense( setMatched ); + } + + // Add matches to results + push.apply( results, setMatched ); + + // Seedless set matches succeeding multiple successful matchers stipulate sorting + if ( outermost && !seed && setMatched.length > 0 && + ( matchedCount + setMatchers.length ) > 1 ) { + + Sizzle.uniqueSort( results ); + } + } + + // Override manipulation of globals by nested matchers + if ( outermost ) { + dirruns = dirrunsUnique; + outermostContext = contextBackup; + } + + return unmatched; + }; + + return bySet ? + markFunction( superMatcher ) : + superMatcher; +} + +compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { + var i, + setMatchers = [], + elementMatchers = [], + cached = compilerCache[ selector + " " ]; + + if ( !cached ) { + // Generate a function of recursive functions that can be used to check each element + if ( !match ) { + match = tokenize( selector ); + } + i = match.length; + while ( i-- ) { + cached = matcherFromTokens( match[i] ); + if ( cached[ expando ] ) { + setMatchers.push( cached ); + } else { + elementMatchers.push( cached ); + } + } + + // Cache the compiled function + cached = compilerCache( selector, matcherFromGroupMatchers( elementMatchers, setMatchers ) ); + + // Save selector and tokenization + cached.selector = selector; + } + return cached; +}; + +/** + * A low-level selection function that works with Sizzle's compiled + * selector functions + * @param {String|Function} selector A selector or a pre-compiled + * selector function built with Sizzle.compile + * @param {Element} context + * @param {Array} [results] + * @param {Array} [seed] A set of elements to match against + */ +select = Sizzle.select = function( selector, context, results, seed ) { + var i, tokens, token, type, find, + compiled = typeof selector === "function" && selector, + match = !seed && tokenize( (selector = compiled.selector || selector) ); + + results = results || []; + + // Try to minimize operations if there is only one selector in the list and no seed + // (the latter of which guarantees us context) + if ( match.length === 1 ) { + + // Reduce context if the leading compound selector is an ID + tokens = match[0] = match[0].slice( 0 ); + if ( tokens.length > 2 && (token = tokens[0]).type === "ID" && + context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[1].type ] ) { + + context = ( Expr.find["ID"]( token.matches[0].replace(runescape, funescape), context ) || [] )[0]; + if ( !context ) { + return results; + + // Precompiled matchers will still verify ancestry, so step up a level + } else if ( compiled ) { + context = context.parentNode; + } + + selector = selector.slice( tokens.shift().value.length ); + } + + // Fetch a seed set for right-to-left matching + i = matchExpr["needsContext"].test( selector ) ? 0 : tokens.length; + while ( i-- ) { + token = tokens[i]; + + // Abort if we hit a combinator + if ( Expr.relative[ (type = token.type) ] ) { + break; + } + if ( (find = Expr.find[ type ]) ) { + // Search, expanding context for leading sibling combinators + if ( (seed = find( + token.matches[0].replace( runescape, funescape ), + rsibling.test( tokens[0].type ) && testContext( context.parentNode ) || context + )) ) { + + // If seed is empty or no tokens remain, we can return early + tokens.splice( i, 1 ); + selector = seed.length && toSelector( tokens ); + if ( !selector ) { + push.apply( results, seed ); + return results; + } + + break; + } + } + } + } + + // Compile and execute a filtering function if one is not provided + // Provide `match` to avoid retokenization if we modified the selector above + ( compiled || compile( selector, match ) )( + seed, + context, + !documentIsHTML, + results, + !context || rsibling.test( selector ) && testContext( context.parentNode ) || context + ); + return results; +}; + +// One-time assignments + +// Sort stability +support.sortStable = expando.split("").sort( sortOrder ).join("") === expando; + +// Support: Chrome 14-35+ +// Always assume duplicates if they aren't passed to the comparison function +support.detectDuplicates = !!hasDuplicate; + +// Initialize against the default document +setDocument(); + +// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) +// Detached nodes confoundingly follow *each other* +support.sortDetached = assert(function( el ) { + // Should return 1, but returns 4 (following) + return el.compareDocumentPosition( document.createElement("fieldset") ) & 1; +}); + +// Support: IE<8 +// Prevent attribute/property "interpolation" +// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx +if ( !assert(function( el ) { + el.innerHTML = ""; + return el.firstChild.getAttribute("href") === "#" ; +}) ) { + addHandle( "type|href|height|width", function( elem, name, isXML ) { + if ( !isXML ) { + return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); + } + }); +} + +// Support: IE<9 +// Use defaultValue in place of getAttribute("value") +if ( !support.attributes || !assert(function( el ) { + el.innerHTML = ""; + el.firstChild.setAttribute( "value", "" ); + return el.firstChild.getAttribute( "value" ) === ""; +}) ) { + addHandle( "value", function( elem, name, isXML ) { + if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { + return elem.defaultValue; + } + }); +} + +// Support: IE<9 +// Use getAttributeNode to fetch booleans when getAttribute lies +if ( !assert(function( el ) { + return el.getAttribute("disabled") == null; +}) ) { + addHandle( booleans, function( elem, name, isXML ) { + var val; + if ( !isXML ) { + return elem[ name ] === true ? name.toLowerCase() : + (val = elem.getAttributeNode( name )) && val.specified ? + val.value : + null; + } + }); +} + +return Sizzle; + +})( window ); + + + +jQuery.find = Sizzle; +jQuery.expr = Sizzle.selectors; + +// Deprecated +jQuery.expr[ ":" ] = jQuery.expr.pseudos; +jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort; +jQuery.text = Sizzle.getText; +jQuery.isXMLDoc = Sizzle.isXML; +jQuery.contains = Sizzle.contains; +jQuery.escapeSelector = Sizzle.escape; + + + + +var dir = function( elem, dir, until ) { + var matched = [], + truncate = until !== undefined; + + while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) { + if ( elem.nodeType === 1 ) { + if ( truncate && jQuery( elem ).is( until ) ) { + break; + } + matched.push( elem ); + } + } + return matched; +}; + + +var siblings = function( n, elem ) { + var matched = []; + + for ( ; n; n = n.nextSibling ) { + if ( n.nodeType === 1 && n !== elem ) { + matched.push( n ); + } + } + + return matched; +}; + + +var rneedsContext = jQuery.expr.match.needsContext; + + + +function nodeName( elem, name ) { + + return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); + +}; +var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i ); + + + +var risSimple = /^.[^:#\[\.,]*$/; + +// Implement the identical functionality for filter and not +function winnow( elements, qualifier, not ) { + if ( jQuery.isFunction( qualifier ) ) { + return jQuery.grep( elements, function( elem, i ) { + return !!qualifier.call( elem, i, elem ) !== not; + } ); + } + + // Single element + if ( qualifier.nodeType ) { + return jQuery.grep( elements, function( elem ) { + return ( elem === qualifier ) !== not; + } ); + } + + // Arraylike of elements (jQuery, arguments, Array) + if ( typeof qualifier !== "string" ) { + return jQuery.grep( elements, function( elem ) { + return ( indexOf.call( qualifier, elem ) > -1 ) !== not; + } ); + } + + // Simple selector that can be filtered directly, removing non-Elements + if ( risSimple.test( qualifier ) ) { + return jQuery.filter( qualifier, elements, not ); + } + + // Complex selector, compare the two sets, removing non-Elements + qualifier = jQuery.filter( qualifier, elements ); + return jQuery.grep( elements, function( elem ) { + return ( indexOf.call( qualifier, elem ) > -1 ) !== not && elem.nodeType === 1; + } ); +} + +jQuery.filter = function( expr, elems, not ) { + var elem = elems[ 0 ]; + + if ( not ) { + expr = ":not(" + expr + ")"; + } + + if ( elems.length === 1 && elem.nodeType === 1 ) { + return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : []; + } + + return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { + return elem.nodeType === 1; + } ) ); +}; + +jQuery.fn.extend( { + find: function( selector ) { + var i, ret, + len = this.length, + self = this; + + if ( typeof selector !== "string" ) { + return this.pushStack( jQuery( selector ).filter( function() { + for ( i = 0; i < len; i++ ) { + if ( jQuery.contains( self[ i ], this ) ) { + return true; + } + } + } ) ); + } + + ret = this.pushStack( [] ); + + for ( i = 0; i < len; i++ ) { + jQuery.find( selector, self[ i ], ret ); + } + + return len > 1 ? jQuery.uniqueSort( ret ) : ret; + }, + filter: function( selector ) { + return this.pushStack( winnow( this, selector || [], false ) ); + }, + not: function( selector ) { + return this.pushStack( winnow( this, selector || [], true ) ); + }, + is: function( selector ) { + return !!winnow( + this, + + // If this is a positional/relative selector, check membership in the returned set + // so $("p:first").is("p:last") won't return true for a doc with two "p". + typeof selector === "string" && rneedsContext.test( selector ) ? + jQuery( selector ) : + selector || [], + false + ).length; + } +} ); + + +// Initialize a jQuery object + + +// A central reference to the root jQuery(document) +var rootjQuery, + + // A simple way to check for HTML strings + // Prioritize #id over to avoid XSS via location.hash (#9521) + // Strict HTML recognition (#11290: must start with <) + // Shortcut simple #id case for speed + rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/, + + init = jQuery.fn.init = function( selector, context, root ) { + var match, elem; + + // HANDLE: $(""), $(null), $(undefined), $(false) + if ( !selector ) { + return this; + } + + // Method init() accepts an alternate rootjQuery + // so migrate can support jQuery.sub (gh-2101) + root = root || rootjQuery; + + // Handle HTML strings + if ( typeof selector === "string" ) { + if ( selector[ 0 ] === "<" && + selector[ selector.length - 1 ] === ">" && + selector.length >= 3 ) { + + // Assume that strings that start and end with <> are HTML and skip the regex check + match = [ null, selector, null ]; + + } else { + match = rquickExpr.exec( selector ); + } + + // Match html or make sure no context is specified for #id + if ( match && ( match[ 1 ] || !context ) ) { + + // HANDLE: $(html) -> $(array) + if ( match[ 1 ] ) { + context = context instanceof jQuery ? context[ 0 ] : context; + + // Option to run scripts is true for back-compat + // Intentionally let the error be thrown if parseHTML is not present + jQuery.merge( this, jQuery.parseHTML( + match[ 1 ], + context && context.nodeType ? context.ownerDocument || context : document, + true + ) ); + + // HANDLE: $(html, props) + if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) { + for ( match in context ) { + + // Properties of context are called as methods if possible + if ( jQuery.isFunction( this[ match ] ) ) { + this[ match ]( context[ match ] ); + + // ...and otherwise set as attributes + } else { + this.attr( match, context[ match ] ); + } + } + } + + return this; + + // HANDLE: $(#id) + } else { + elem = document.getElementById( match[ 2 ] ); + + if ( elem ) { + + // Inject the element directly into the jQuery object + this[ 0 ] = elem; + this.length = 1; + } + return this; + } + + // HANDLE: $(expr, $(...)) + } else if ( !context || context.jquery ) { + return ( context || root ).find( selector ); + + // HANDLE: $(expr, context) + // (which is just equivalent to: $(context).find(expr) + } else { + return this.constructor( context ).find( selector ); + } + + // HANDLE: $(DOMElement) + } else if ( selector.nodeType ) { + this[ 0 ] = selector; + this.length = 1; + return this; + + // HANDLE: $(function) + // Shortcut for document ready + } else if ( jQuery.isFunction( selector ) ) { + return root.ready !== undefined ? + root.ready( selector ) : + + // Execute immediately if ready is not present + selector( jQuery ); + } + + return jQuery.makeArray( selector, this ); + }; + +// Give the init function the jQuery prototype for later instantiation +init.prototype = jQuery.fn; + +// Initialize central reference +rootjQuery = jQuery( document ); + + +var rparentsprev = /^(?:parents|prev(?:Until|All))/, + + // Methods guaranteed to produce a unique set when starting from a unique set + guaranteedUnique = { + children: true, + contents: true, + next: true, + prev: true + }; + +jQuery.fn.extend( { + has: function( target ) { + var targets = jQuery( target, this ), + l = targets.length; + + return this.filter( function() { + var i = 0; + for ( ; i < l; i++ ) { + if ( jQuery.contains( this, targets[ i ] ) ) { + return true; + } + } + } ); + }, + + closest: function( selectors, context ) { + var cur, + i = 0, + l = this.length, + matched = [], + targets = typeof selectors !== "string" && jQuery( selectors ); + + // Positional selectors never match, since there's no _selection_ context + if ( !rneedsContext.test( selectors ) ) { + for ( ; i < l; i++ ) { + for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) { + + // Always skip document fragments + if ( cur.nodeType < 11 && ( targets ? + targets.index( cur ) > -1 : + + // Don't pass non-elements to Sizzle + cur.nodeType === 1 && + jQuery.find.matchesSelector( cur, selectors ) ) ) { + + matched.push( cur ); + break; + } + } + } + } + + return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched ); + }, + + // Determine the position of an element within the set + index: function( elem ) { + + // No argument, return index in parent + if ( !elem ) { + return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; + } + + // Index in selector + if ( typeof elem === "string" ) { + return indexOf.call( jQuery( elem ), this[ 0 ] ); + } + + // Locate the position of the desired element + return indexOf.call( this, + + // If it receives a jQuery object, the first element is used + elem.jquery ? elem[ 0 ] : elem + ); + }, + + add: function( selector, context ) { + return this.pushStack( + jQuery.uniqueSort( + jQuery.merge( this.get(), jQuery( selector, context ) ) + ) + ); + }, + + addBack: function( selector ) { + return this.add( selector == null ? + this.prevObject : this.prevObject.filter( selector ) + ); + } +} ); + +function sibling( cur, dir ) { + while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {} + return cur; +} + +jQuery.each( { + parent: function( elem ) { + var parent = elem.parentNode; + return parent && parent.nodeType !== 11 ? parent : null; + }, + parents: function( elem ) { + return dir( elem, "parentNode" ); + }, + parentsUntil: function( elem, i, until ) { + return dir( elem, "parentNode", until ); + }, + next: function( elem ) { + return sibling( elem, "nextSibling" ); + }, + prev: function( elem ) { + return sibling( elem, "previousSibling" ); + }, + nextAll: function( elem ) { + return dir( elem, "nextSibling" ); + }, + prevAll: function( elem ) { + return dir( elem, "previousSibling" ); + }, + nextUntil: function( elem, i, until ) { + return dir( elem, "nextSibling", until ); + }, + prevUntil: function( elem, i, until ) { + return dir( elem, "previousSibling", until ); + }, + siblings: function( elem ) { + return siblings( ( elem.parentNode || {} ).firstChild, elem ); + }, + children: function( elem ) { + return siblings( elem.firstChild ); + }, + contents: function( elem ) { + if ( nodeName( elem, "iframe" ) ) { + return elem.contentDocument; + } + + // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only + // Treat the template element as a regular one in browsers that + // don't support it. + if ( nodeName( elem, "template" ) ) { + elem = elem.content || elem; + } + + return jQuery.merge( [], elem.childNodes ); + } +}, function( name, fn ) { + jQuery.fn[ name ] = function( until, selector ) { + var matched = jQuery.map( this, fn, until ); + + if ( name.slice( -5 ) !== "Until" ) { + selector = until; + } + + if ( selector && typeof selector === "string" ) { + matched = jQuery.filter( selector, matched ); + } + + if ( this.length > 1 ) { + + // Remove duplicates + if ( !guaranteedUnique[ name ] ) { + jQuery.uniqueSort( matched ); + } + + // Reverse order for parents* and prev-derivatives + if ( rparentsprev.test( name ) ) { + matched.reverse(); + } + } + + return this.pushStack( matched ); + }; +} ); +var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g ); + + + +// Convert String-formatted options into Object-formatted ones +function createOptions( options ) { + var object = {}; + jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) { + object[ flag ] = true; + } ); + return object; +} + +/* + * Create a callback list using the following parameters: + * + * options: an optional list of space-separated options that will change how + * the callback list behaves or a more traditional option object + * + * By default a callback list will act like an event callback list and can be + * "fired" multiple times. + * + * Possible options: + * + * once: will ensure the callback list can only be fired once (like a Deferred) + * + * memory: will keep track of previous values and will call any callback added + * after the list has been fired right away with the latest "memorized" + * values (like a Deferred) + * + * unique: will ensure a callback can only be added once (no duplicate in the list) + * + * stopOnFalse: interrupt callings when a callback returns false + * + */ +jQuery.Callbacks = function( options ) { + + // Convert options from String-formatted to Object-formatted if needed + // (we check in cache first) + options = typeof options === "string" ? + createOptions( options ) : + jQuery.extend( {}, options ); + + var // Flag to know if list is currently firing + firing, + + // Last fire value for non-forgettable lists + memory, + + // Flag to know if list was already fired + fired, + + // Flag to prevent firing + locked, + + // Actual callback list + list = [], + + // Queue of execution data for repeatable lists + queue = [], + + // Index of currently firing callback (modified by add/remove as needed) + firingIndex = -1, + + // Fire callbacks + fire = function() { + + // Enforce single-firing + locked = locked || options.once; + + // Execute callbacks for all pending executions, + // respecting firingIndex overrides and runtime changes + fired = firing = true; + for ( ; queue.length; firingIndex = -1 ) { + memory = queue.shift(); + while ( ++firingIndex < list.length ) { + + // Run callback and check for early termination + if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false && + options.stopOnFalse ) { + + // Jump to end and forget the data so .add doesn't re-fire + firingIndex = list.length; + memory = false; + } + } + } + + // Forget the data if we're done with it + if ( !options.memory ) { + memory = false; + } + + firing = false; + + // Clean up if we're done firing for good + if ( locked ) { + + // Keep an empty list if we have data for future add calls + if ( memory ) { + list = []; + + // Otherwise, this object is spent + } else { + list = ""; + } + } + }, + + // Actual Callbacks object + self = { + + // Add a callback or a collection of callbacks to the list + add: function() { + if ( list ) { + + // If we have memory from a past run, we should fire after adding + if ( memory && !firing ) { + firingIndex = list.length - 1; + queue.push( memory ); + } + + ( function add( args ) { + jQuery.each( args, function( _, arg ) { + if ( jQuery.isFunction( arg ) ) { + if ( !options.unique || !self.has( arg ) ) { + list.push( arg ); + } + } else if ( arg && arg.length && jQuery.type( arg ) !== "string" ) { + + // Inspect recursively + add( arg ); + } + } ); + } )( arguments ); + + if ( memory && !firing ) { + fire(); + } + } + return this; + }, + + // Remove a callback from the list + remove: function() { + jQuery.each( arguments, function( _, arg ) { + var index; + while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { + list.splice( index, 1 ); + + // Handle firing indexes + if ( index <= firingIndex ) { + firingIndex--; + } + } + } ); + return this; + }, + + // Check if a given callback is in the list. + // If no argument is given, return whether or not list has callbacks attached. + has: function( fn ) { + return fn ? + jQuery.inArray( fn, list ) > -1 : + list.length > 0; + }, + + // Remove all callbacks from the list + empty: function() { + if ( list ) { + list = []; + } + return this; + }, + + // Disable .fire and .add + // Abort any current/pending executions + // Clear all callbacks and values + disable: function() { + locked = queue = []; + list = memory = ""; + return this; + }, + disabled: function() { + return !list; + }, + + // Disable .fire + // Also disable .add unless we have memory (since it would have no effect) + // Abort any pending executions + lock: function() { + locked = queue = []; + if ( !memory && !firing ) { + list = memory = ""; + } + return this; + }, + locked: function() { + return !!locked; + }, + + // Call all callbacks with the given context and arguments + fireWith: function( context, args ) { + if ( !locked ) { + args = args || []; + args = [ context, args.slice ? args.slice() : args ]; + queue.push( args ); + if ( !firing ) { + fire(); + } + } + return this; + }, + + // Call all the callbacks with the given arguments + fire: function() { + self.fireWith( this, arguments ); + return this; + }, + + // To know if the callbacks have already been called at least once + fired: function() { + return !!fired; + } + }; + + return self; +}; + + +function Identity( v ) { + return v; +} +function Thrower( ex ) { + throw ex; +} + +function adoptValue( value, resolve, reject, noValue ) { + var method; + + try { + + // Check for promise aspect first to privilege synchronous behavior + if ( value && jQuery.isFunction( ( method = value.promise ) ) ) { + method.call( value ).done( resolve ).fail( reject ); + + // Other thenables + } else if ( value && jQuery.isFunction( ( method = value.then ) ) ) { + method.call( value, resolve, reject ); + + // Other non-thenables + } else { + + // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer: + // * false: [ value ].slice( 0 ) => resolve( value ) + // * true: [ value ].slice( 1 ) => resolve() + resolve.apply( undefined, [ value ].slice( noValue ) ); + } + + // For Promises/A+, convert exceptions into rejections + // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in + // Deferred#then to conditionally suppress rejection. + } catch ( value ) { + + // Support: Android 4.0 only + // Strict mode functions invoked without .call/.apply get global-object context + reject.apply( undefined, [ value ] ); + } +} + +jQuery.extend( { + + Deferred: function( func ) { + var tuples = [ + + // action, add listener, callbacks, + // ... .then handlers, argument index, [final state] + [ "notify", "progress", jQuery.Callbacks( "memory" ), + jQuery.Callbacks( "memory" ), 2 ], + [ "resolve", "done", jQuery.Callbacks( "once memory" ), + jQuery.Callbacks( "once memory" ), 0, "resolved" ], + [ "reject", "fail", jQuery.Callbacks( "once memory" ), + jQuery.Callbacks( "once memory" ), 1, "rejected" ] + ], + state = "pending", + promise = { + state: function() { + return state; + }, + always: function() { + deferred.done( arguments ).fail( arguments ); + return this; + }, + "catch": function( fn ) { + return promise.then( null, fn ); + }, + + // Keep pipe for back-compat + pipe: function( /* fnDone, fnFail, fnProgress */ ) { + var fns = arguments; + + return jQuery.Deferred( function( newDefer ) { + jQuery.each( tuples, function( i, tuple ) { + + // Map tuples (progress, done, fail) to arguments (done, fail, progress) + var fn = jQuery.isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; + + // deferred.progress(function() { bind to newDefer or newDefer.notify }) + // deferred.done(function() { bind to newDefer or newDefer.resolve }) + // deferred.fail(function() { bind to newDefer or newDefer.reject }) + deferred[ tuple[ 1 ] ]( function() { + var returned = fn && fn.apply( this, arguments ); + if ( returned && jQuery.isFunction( returned.promise ) ) { + returned.promise() + .progress( newDefer.notify ) + .done( newDefer.resolve ) + .fail( newDefer.reject ); + } else { + newDefer[ tuple[ 0 ] + "With" ]( + this, + fn ? [ returned ] : arguments + ); + } + } ); + } ); + fns = null; + } ).promise(); + }, + then: function( onFulfilled, onRejected, onProgress ) { + var maxDepth = 0; + function resolve( depth, deferred, handler, special ) { + return function() { + var that = this, + args = arguments, + mightThrow = function() { + var returned, then; + + // Support: Promises/A+ section 2.3.3.3.3 + // https://promisesaplus.com/#point-59 + // Ignore double-resolution attempts + if ( depth < maxDepth ) { + return; + } + + returned = handler.apply( that, args ); + + // Support: Promises/A+ section 2.3.1 + // https://promisesaplus.com/#point-48 + if ( returned === deferred.promise() ) { + throw new TypeError( "Thenable self-resolution" ); + } + + // Support: Promises/A+ sections 2.3.3.1, 3.5 + // https://promisesaplus.com/#point-54 + // https://promisesaplus.com/#point-75 + // Retrieve `then` only once + then = returned && + + // Support: Promises/A+ section 2.3.4 + // https://promisesaplus.com/#point-64 + // Only check objects and functions for thenability + ( typeof returned === "object" || + typeof returned === "function" ) && + returned.then; + + // Handle a returned thenable + if ( jQuery.isFunction( then ) ) { + + // Special processors (notify) just wait for resolution + if ( special ) { + then.call( + returned, + resolve( maxDepth, deferred, Identity, special ), + resolve( maxDepth, deferred, Thrower, special ) + ); + + // Normal processors (resolve) also hook into progress + } else { + + // ...and disregard older resolution values + maxDepth++; + + then.call( + returned, + resolve( maxDepth, deferred, Identity, special ), + resolve( maxDepth, deferred, Thrower, special ), + resolve( maxDepth, deferred, Identity, + deferred.notifyWith ) + ); + } + + // Handle all other returned values + } else { + + // Only substitute handlers pass on context + // and multiple values (non-spec behavior) + if ( handler !== Identity ) { + that = undefined; + args = [ returned ]; + } + + // Process the value(s) + // Default process is resolve + ( special || deferred.resolveWith )( that, args ); + } + }, + + // Only normal processors (resolve) catch and reject exceptions + process = special ? + mightThrow : + function() { + try { + mightThrow(); + } catch ( e ) { + + if ( jQuery.Deferred.exceptionHook ) { + jQuery.Deferred.exceptionHook( e, + process.stackTrace ); + } + + // Support: Promises/A+ section 2.3.3.3.4.1 + // https://promisesaplus.com/#point-61 + // Ignore post-resolution exceptions + if ( depth + 1 >= maxDepth ) { + + // Only substitute handlers pass on context + // and multiple values (non-spec behavior) + if ( handler !== Thrower ) { + that = undefined; + args = [ e ]; + } + + deferred.rejectWith( that, args ); + } + } + }; + + // Support: Promises/A+ section 2.3.3.3.1 + // https://promisesaplus.com/#point-57 + // Re-resolve promises immediately to dodge false rejection from + // subsequent errors + if ( depth ) { + process(); + } else { + + // Call an optional hook to record the stack, in case of exception + // since it's otherwise lost when execution goes async + if ( jQuery.Deferred.getStackHook ) { + process.stackTrace = jQuery.Deferred.getStackHook(); + } + window.setTimeout( process ); + } + }; + } + + return jQuery.Deferred( function( newDefer ) { + + // progress_handlers.add( ... ) + tuples[ 0 ][ 3 ].add( + resolve( + 0, + newDefer, + jQuery.isFunction( onProgress ) ? + onProgress : + Identity, + newDefer.notifyWith + ) + ); + + // fulfilled_handlers.add( ... ) + tuples[ 1 ][ 3 ].add( + resolve( + 0, + newDefer, + jQuery.isFunction( onFulfilled ) ? + onFulfilled : + Identity + ) + ); + + // rejected_handlers.add( ... ) + tuples[ 2 ][ 3 ].add( + resolve( + 0, + newDefer, + jQuery.isFunction( onRejected ) ? + onRejected : + Thrower + ) + ); + } ).promise(); + }, + + // Get a promise for this deferred + // If obj is provided, the promise aspect is added to the object + promise: function( obj ) { + return obj != null ? jQuery.extend( obj, promise ) : promise; + } + }, + deferred = {}; + + // Add list-specific methods + jQuery.each( tuples, function( i, tuple ) { + var list = tuple[ 2 ], + stateString = tuple[ 5 ]; + + // promise.progress = list.add + // promise.done = list.add + // promise.fail = list.add + promise[ tuple[ 1 ] ] = list.add; + + // Handle state + if ( stateString ) { + list.add( + function() { + + // state = "resolved" (i.e., fulfilled) + // state = "rejected" + state = stateString; + }, + + // rejected_callbacks.disable + // fulfilled_callbacks.disable + tuples[ 3 - i ][ 2 ].disable, + + // progress_callbacks.lock + tuples[ 0 ][ 2 ].lock + ); + } + + // progress_handlers.fire + // fulfilled_handlers.fire + // rejected_handlers.fire + list.add( tuple[ 3 ].fire ); + + // deferred.notify = function() { deferred.notifyWith(...) } + // deferred.resolve = function() { deferred.resolveWith(...) } + // deferred.reject = function() { deferred.rejectWith(...) } + deferred[ tuple[ 0 ] ] = function() { + deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments ); + return this; + }; + + // deferred.notifyWith = list.fireWith + // deferred.resolveWith = list.fireWith + // deferred.rejectWith = list.fireWith + deferred[ tuple[ 0 ] + "With" ] = list.fireWith; + } ); + + // Make the deferred a promise + promise.promise( deferred ); + + // Call given func if any + if ( func ) { + func.call( deferred, deferred ); + } + + // All done! + return deferred; + }, + + // Deferred helper + when: function( singleValue ) { + var + + // count of uncompleted subordinates + remaining = arguments.length, + + // count of unprocessed arguments + i = remaining, + + // subordinate fulfillment data + resolveContexts = Array( i ), + resolveValues = slice.call( arguments ), + + // the master Deferred + master = jQuery.Deferred(), + + // subordinate callback factory + updateFunc = function( i ) { + return function( value ) { + resolveContexts[ i ] = this; + resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; + if ( !( --remaining ) ) { + master.resolveWith( resolveContexts, resolveValues ); + } + }; + }; + + // Single- and empty arguments are adopted like Promise.resolve + if ( remaining <= 1 ) { + adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject, + !remaining ); + + // Use .then() to unwrap secondary thenables (cf. gh-3000) + if ( master.state() === "pending" || + jQuery.isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { + + return master.then(); + } + } + + // Multiple arguments are aggregated like Promise.all array elements + while ( i-- ) { + adoptValue( resolveValues[ i ], updateFunc( i ), master.reject ); + } + + return master.promise(); + } +} ); + + +// These usually indicate a programmer mistake during development, +// warn about them ASAP rather than swallowing them by default. +var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/; + +jQuery.Deferred.exceptionHook = function( error, stack ) { + + // Support: IE 8 - 9 only + // Console exists when dev tools are open, which can happen at any time + if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) { + window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack ); + } +}; + + + + +jQuery.readyException = function( error ) { + window.setTimeout( function() { + throw error; + } ); +}; + + + + +// The deferred used on DOM ready +var readyList = jQuery.Deferred(); + +jQuery.fn.ready = function( fn ) { + + readyList + .then( fn ) + + // Wrap jQuery.readyException in a function so that the lookup + // happens at the time of error handling instead of callback + // registration. + .catch( function( error ) { + jQuery.readyException( error ); + } ); + + return this; +}; + +jQuery.extend( { + + // Is the DOM ready to be used? Set to true once it occurs. + isReady: false, + + // A counter to track how many items to wait for before + // the ready event fires. See #6781 + readyWait: 1, + + // Handle when the DOM is ready + ready: function( wait ) { + + // Abort if there are pending holds or we're already ready + if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { + return; + } + + // Remember that the DOM is ready + jQuery.isReady = true; + + // If a normal DOM Ready event fired, decrement, and wait if need be + if ( wait !== true && --jQuery.readyWait > 0 ) { + return; + } + + // If there are functions bound, to execute + readyList.resolveWith( document, [ jQuery ] ); + } +} ); + +jQuery.ready.then = readyList.then; + +// The ready event handler and self cleanup method +function completed() { + document.removeEventListener( "DOMContentLoaded", completed ); + window.removeEventListener( "load", completed ); + jQuery.ready(); +} + +// Catch cases where $(document).ready() is called +// after the browser event has already occurred. +// Support: IE <=9 - 10 only +// Older IE sometimes signals "interactive" too soon +if ( document.readyState === "complete" || + ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) { + + // Handle it asynchronously to allow scripts the opportunity to delay ready + window.setTimeout( jQuery.ready ); + +} else { + + // Use the handy event callback + document.addEventListener( "DOMContentLoaded", completed ); + + // A fallback to window.onload, that will always work + window.addEventListener( "load", completed ); +} + + + + +// Multifunctional method to get and set values of a collection +// The value/s can optionally be executed if it's a function +var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { + var i = 0, + len = elems.length, + bulk = key == null; + + // Sets many values + if ( jQuery.type( key ) === "object" ) { + chainable = true; + for ( i in key ) { + access( elems, fn, i, key[ i ], true, emptyGet, raw ); + } + + // Sets one value + } else if ( value !== undefined ) { + chainable = true; + + if ( !jQuery.isFunction( value ) ) { + raw = true; + } + + if ( bulk ) { + + // Bulk operations run against the entire set + if ( raw ) { + fn.call( elems, value ); + fn = null; + + // ...except when executing function values + } else { + bulk = fn; + fn = function( elem, key, value ) { + return bulk.call( jQuery( elem ), value ); + }; + } + } + + if ( fn ) { + for ( ; i < len; i++ ) { + fn( + elems[ i ], key, raw ? + value : + value.call( elems[ i ], i, fn( elems[ i ], key ) ) + ); + } + } + } + + if ( chainable ) { + return elems; + } + + // Gets + if ( bulk ) { + return fn.call( elems ); + } + + return len ? fn( elems[ 0 ], key ) : emptyGet; +}; +var acceptData = function( owner ) { + + // Accepts only: + // - Node + // - Node.ELEMENT_NODE + // - Node.DOCUMENT_NODE + // - Object + // - Any + return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType ); +}; + + + + +function Data() { + this.expando = jQuery.expando + Data.uid++; +} + +Data.uid = 1; + +Data.prototype = { + + cache: function( owner ) { + + // Check if the owner object already has a cache + var value = owner[ this.expando ]; + + // If not, create one + if ( !value ) { + value = {}; + + // We can accept data for non-element nodes in modern browsers, + // but we should not, see #8335. + // Always return an empty object. + if ( acceptData( owner ) ) { + + // If it is a node unlikely to be stringify-ed or looped over + // use plain assignment + if ( owner.nodeType ) { + owner[ this.expando ] = value; + + // Otherwise secure it in a non-enumerable property + // configurable must be true to allow the property to be + // deleted when data is removed + } else { + Object.defineProperty( owner, this.expando, { + value: value, + configurable: true + } ); + } + } + } + + return value; + }, + set: function( owner, data, value ) { + var prop, + cache = this.cache( owner ); + + // Handle: [ owner, key, value ] args + // Always use camelCase key (gh-2257) + if ( typeof data === "string" ) { + cache[ jQuery.camelCase( data ) ] = value; + + // Handle: [ owner, { properties } ] args + } else { + + // Copy the properties one-by-one to the cache object + for ( prop in data ) { + cache[ jQuery.camelCase( prop ) ] = data[ prop ]; + } + } + return cache; + }, + get: function( owner, key ) { + return key === undefined ? + this.cache( owner ) : + + // Always use camelCase key (gh-2257) + owner[ this.expando ] && owner[ this.expando ][ jQuery.camelCase( key ) ]; + }, + access: function( owner, key, value ) { + + // In cases where either: + // + // 1. No key was specified + // 2. A string key was specified, but no value provided + // + // Take the "read" path and allow the get method to determine + // which value to return, respectively either: + // + // 1. The entire cache object + // 2. The data stored at the key + // + if ( key === undefined || + ( ( key && typeof key === "string" ) && value === undefined ) ) { + + return this.get( owner, key ); + } + + // When the key is not a string, or both a key and value + // are specified, set or extend (existing objects) with either: + // + // 1. An object of properties + // 2. A key and value + // + this.set( owner, key, value ); + + // Since the "set" path can have two possible entry points + // return the expected data based on which path was taken[*] + return value !== undefined ? value : key; + }, + remove: function( owner, key ) { + var i, + cache = owner[ this.expando ]; + + if ( cache === undefined ) { + return; + } + + if ( key !== undefined ) { + + // Support array or space separated string of keys + if ( Array.isArray( key ) ) { + + // If key is an array of keys... + // We always set camelCase keys, so remove that. + key = key.map( jQuery.camelCase ); + } else { + key = jQuery.camelCase( key ); + + // If a key with the spaces exists, use it. + // Otherwise, create an array by matching non-whitespace + key = key in cache ? + [ key ] : + ( key.match( rnothtmlwhite ) || [] ); + } + + i = key.length; + + while ( i-- ) { + delete cache[ key[ i ] ]; + } + } + + // Remove the expando if there's no more data + if ( key === undefined || jQuery.isEmptyObject( cache ) ) { + + // Support: Chrome <=35 - 45 + // Webkit & Blink performance suffers when deleting properties + // from DOM nodes, so set to undefined instead + // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted) + if ( owner.nodeType ) { + owner[ this.expando ] = undefined; + } else { + delete owner[ this.expando ]; + } + } + }, + hasData: function( owner ) { + var cache = owner[ this.expando ]; + return cache !== undefined && !jQuery.isEmptyObject( cache ); + } +}; +var dataPriv = new Data(); + +var dataUser = new Data(); + + + +// Implementation Summary +// +// 1. Enforce API surface and semantic compatibility with 1.9.x branch +// 2. Improve the module's maintainability by reducing the storage +// paths to a single mechanism. +// 3. Use the same single mechanism to support "private" and "user" data. +// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) +// 5. Avoid exposing implementation details on user objects (eg. expando properties) +// 6. Provide a clear path for implementation upgrade to WeakMap in 2014 + +var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, + rmultiDash = /[A-Z]/g; + +function getData( data ) { + if ( data === "true" ) { + return true; + } + + if ( data === "false" ) { + return false; + } + + if ( data === "null" ) { + return null; + } + + // Only convert to a number if it doesn't change the string + if ( data === +data + "" ) { + return +data; + } + + if ( rbrace.test( data ) ) { + return JSON.parse( data ); + } + + return data; +} + +function dataAttr( elem, key, data ) { + var name; + + // If nothing was found internally, try to fetch any + // data from the HTML5 data-* attribute + if ( data === undefined && elem.nodeType === 1 ) { + name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase(); + data = elem.getAttribute( name ); + + if ( typeof data === "string" ) { + try { + data = getData( data ); + } catch ( e ) {} + + // Make sure we set the data so it isn't changed later + dataUser.set( elem, key, data ); + } else { + data = undefined; + } + } + return data; +} + +jQuery.extend( { + hasData: function( elem ) { + return dataUser.hasData( elem ) || dataPriv.hasData( elem ); + }, + + data: function( elem, name, data ) { + return dataUser.access( elem, name, data ); + }, + + removeData: function( elem, name ) { + dataUser.remove( elem, name ); + }, + + // TODO: Now that all calls to _data and _removeData have been replaced + // with direct calls to dataPriv methods, these can be deprecated. + _data: function( elem, name, data ) { + return dataPriv.access( elem, name, data ); + }, + + _removeData: function( elem, name ) { + dataPriv.remove( elem, name ); + } +} ); + +jQuery.fn.extend( { + data: function( key, value ) { + var i, name, data, + elem = this[ 0 ], + attrs = elem && elem.attributes; + + // Gets all values + if ( key === undefined ) { + if ( this.length ) { + data = dataUser.get( elem ); + + if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) { + i = attrs.length; + while ( i-- ) { + + // Support: IE 11 only + // The attrs elements can be null (#14894) + if ( attrs[ i ] ) { + name = attrs[ i ].name; + if ( name.indexOf( "data-" ) === 0 ) { + name = jQuery.camelCase( name.slice( 5 ) ); + dataAttr( elem, name, data[ name ] ); + } + } + } + dataPriv.set( elem, "hasDataAttrs", true ); + } + } + + return data; + } + + // Sets multiple values + if ( typeof key === "object" ) { + return this.each( function() { + dataUser.set( this, key ); + } ); + } + + return access( this, function( value ) { + var data; + + // The calling jQuery object (element matches) is not empty + // (and therefore has an element appears at this[ 0 ]) and the + // `value` parameter was not undefined. An empty jQuery object + // will result in `undefined` for elem = this[ 0 ] which will + // throw an exception if an attempt to read a data cache is made. + if ( elem && value === undefined ) { + + // Attempt to get data from the cache + // The key will always be camelCased in Data + data = dataUser.get( elem, key ); + if ( data !== undefined ) { + return data; + } + + // Attempt to "discover" the data in + // HTML5 custom data-* attrs + data = dataAttr( elem, key ); + if ( data !== undefined ) { + return data; + } + + // We tried really hard, but the data doesn't exist. + return; + } + + // Set the data... + this.each( function() { + + // We always store the camelCased key + dataUser.set( this, key, value ); + } ); + }, null, value, arguments.length > 1, null, true ); + }, + + removeData: function( key ) { + return this.each( function() { + dataUser.remove( this, key ); + } ); + } +} ); + + +jQuery.extend( { + queue: function( elem, type, data ) { + var queue; + + if ( elem ) { + type = ( type || "fx" ) + "queue"; + queue = dataPriv.get( elem, type ); + + // Speed up dequeue by getting out quickly if this is just a lookup + if ( data ) { + if ( !queue || Array.isArray( data ) ) { + queue = dataPriv.access( elem, type, jQuery.makeArray( data ) ); + } else { + queue.push( data ); + } + } + return queue || []; + } + }, + + dequeue: function( elem, type ) { + type = type || "fx"; + + var queue = jQuery.queue( elem, type ), + startLength = queue.length, + fn = queue.shift(), + hooks = jQuery._queueHooks( elem, type ), + next = function() { + jQuery.dequeue( elem, type ); + }; + + // If the fx queue is dequeued, always remove the progress sentinel + if ( fn === "inprogress" ) { + fn = queue.shift(); + startLength--; + } + + if ( fn ) { + + // Add a progress sentinel to prevent the fx queue from being + // automatically dequeued + if ( type === "fx" ) { + queue.unshift( "inprogress" ); + } + + // Clear up the last queue stop function + delete hooks.stop; + fn.call( elem, next, hooks ); + } + + if ( !startLength && hooks ) { + hooks.empty.fire(); + } + }, + + // Not public - generate a queueHooks object, or return the current one + _queueHooks: function( elem, type ) { + var key = type + "queueHooks"; + return dataPriv.get( elem, key ) || dataPriv.access( elem, key, { + empty: jQuery.Callbacks( "once memory" ).add( function() { + dataPriv.remove( elem, [ type + "queue", key ] ); + } ) + } ); + } +} ); + +jQuery.fn.extend( { + queue: function( type, data ) { + var setter = 2; + + if ( typeof type !== "string" ) { + data = type; + type = "fx"; + setter--; + } + + if ( arguments.length < setter ) { + return jQuery.queue( this[ 0 ], type ); + } + + return data === undefined ? + this : + this.each( function() { + var queue = jQuery.queue( this, type, data ); + + // Ensure a hooks for this queue + jQuery._queueHooks( this, type ); + + if ( type === "fx" && queue[ 0 ] !== "inprogress" ) { + jQuery.dequeue( this, type ); + } + } ); + }, + dequeue: function( type ) { + return this.each( function() { + jQuery.dequeue( this, type ); + } ); + }, + clearQueue: function( type ) { + return this.queue( type || "fx", [] ); + }, + + // Get a promise resolved when queues of a certain type + // are emptied (fx is the type by default) + promise: function( type, obj ) { + var tmp, + count = 1, + defer = jQuery.Deferred(), + elements = this, + i = this.length, + resolve = function() { + if ( !( --count ) ) { + defer.resolveWith( elements, [ elements ] ); + } + }; + + if ( typeof type !== "string" ) { + obj = type; + type = undefined; + } + type = type || "fx"; + + while ( i-- ) { + tmp = dataPriv.get( elements[ i ], type + "queueHooks" ); + if ( tmp && tmp.empty ) { + count++; + tmp.empty.add( resolve ); + } + } + resolve(); + return defer.promise( obj ); + } +} ); +var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source; + +var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ); + + +var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; + +var isHiddenWithinTree = function( elem, el ) { + + // isHiddenWithinTree might be called from jQuery#filter function; + // in that case, element will be second argument + elem = el || elem; + + // Inline style trumps all + return elem.style.display === "none" || + elem.style.display === "" && + + // Otherwise, check computed style + // Support: Firefox <=43 - 45 + // Disconnected elements can have computed display: none, so first confirm that elem is + // in the document. + jQuery.contains( elem.ownerDocument, elem ) && + + jQuery.css( elem, "display" ) === "none"; + }; + +var swap = function( elem, options, callback, args ) { + var ret, name, + old = {}; + + // Remember the old values, and insert the new ones + for ( name in options ) { + old[ name ] = elem.style[ name ]; + elem.style[ name ] = options[ name ]; + } + + ret = callback.apply( elem, args || [] ); + + // Revert the old values + for ( name in options ) { + elem.style[ name ] = old[ name ]; + } + + return ret; +}; + + + + +function adjustCSS( elem, prop, valueParts, tween ) { + var adjusted, + scale = 1, + maxIterations = 20, + currentValue = tween ? + function() { + return tween.cur(); + } : + function() { + return jQuery.css( elem, prop, "" ); + }, + initial = currentValue(), + unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ), + + // Starting value computation is required for potential unit mismatches + initialInUnit = ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) && + rcssNum.exec( jQuery.css( elem, prop ) ); + + if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { + + // Trust units reported by jQuery.css + unit = unit || initialInUnit[ 3 ]; + + // Make sure we update the tween properties later on + valueParts = valueParts || []; + + // Iteratively approximate from a nonzero starting point + initialInUnit = +initial || 1; + + do { + + // If previous iteration zeroed out, double until we get *something*. + // Use string for doubling so we don't accidentally see scale as unchanged below + scale = scale || ".5"; + + // Adjust and apply + initialInUnit = initialInUnit / scale; + jQuery.style( elem, prop, initialInUnit + unit ); + + // Update scale, tolerating zero or NaN from tween.cur() + // Break the loop if scale is unchanged or perfect, or if we've just had enough. + } while ( + scale !== ( scale = currentValue() / initial ) && scale !== 1 && --maxIterations + ); + } + + if ( valueParts ) { + initialInUnit = +initialInUnit || +initial || 0; + + // Apply relative offset (+=/-=) if specified + adjusted = valueParts[ 1 ] ? + initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] : + +valueParts[ 2 ]; + if ( tween ) { + tween.unit = unit; + tween.start = initialInUnit; + tween.end = adjusted; + } + } + return adjusted; +} + + +var defaultDisplayMap = {}; + +function getDefaultDisplay( elem ) { + var temp, + doc = elem.ownerDocument, + nodeName = elem.nodeName, + display = defaultDisplayMap[ nodeName ]; + + if ( display ) { + return display; + } + + temp = doc.body.appendChild( doc.createElement( nodeName ) ); + display = jQuery.css( temp, "display" ); + + temp.parentNode.removeChild( temp ); + + if ( display === "none" ) { + display = "block"; + } + defaultDisplayMap[ nodeName ] = display; + + return display; +} + +function showHide( elements, show ) { + var display, elem, + values = [], + index = 0, + length = elements.length; + + // Determine new display value for elements that need to change + for ( ; index < length; index++ ) { + elem = elements[ index ]; + if ( !elem.style ) { + continue; + } + + display = elem.style.display; + if ( show ) { + + // Since we force visibility upon cascade-hidden elements, an immediate (and slow) + // check is required in this first loop unless we have a nonempty display value (either + // inline or about-to-be-restored) + if ( display === "none" ) { + values[ index ] = dataPriv.get( elem, "display" ) || null; + if ( !values[ index ] ) { + elem.style.display = ""; + } + } + if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) { + values[ index ] = getDefaultDisplay( elem ); + } + } else { + if ( display !== "none" ) { + values[ index ] = "none"; + + // Remember what we're overwriting + dataPriv.set( elem, "display", display ); + } + } + } + + // Set the display of the elements in a second loop to avoid constant reflow + for ( index = 0; index < length; index++ ) { + if ( values[ index ] != null ) { + elements[ index ].style.display = values[ index ]; + } + } + + return elements; +} + +jQuery.fn.extend( { + show: function() { + return showHide( this, true ); + }, + hide: function() { + return showHide( this ); + }, + toggle: function( state ) { + if ( typeof state === "boolean" ) { + return state ? this.show() : this.hide(); + } + + return this.each( function() { + if ( isHiddenWithinTree( this ) ) { + jQuery( this ).show(); + } else { + jQuery( this ).hide(); + } + } ); + } +} ); +var rcheckableType = ( /^(?:checkbox|radio)$/i ); + +var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]+)/i ); + +var rscriptType = ( /^$|\/(?:java|ecma)script/i ); + + + +// We have to close these tags to support XHTML (#13200) +var wrapMap = { + + // Support: IE <=9 only + option: [ 1, "" ], + + // XHTML parsers do not magically insert elements in the + // same way that tag soup parsers do. So we cannot shorten + // this by omitting or other required elements. + thead: [ 1, "", "
" ], + col: [ 2, "", "
" ], + tr: [ 2, "", "
" ], + td: [ 3, "", "
" ], + + _default: [ 0, "", "" ] +}; + +// Support: IE <=9 only +wrapMap.optgroup = wrapMap.option; + +wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; +wrapMap.th = wrapMap.td; + + +function getAll( context, tag ) { + + // Support: IE <=9 - 11 only + // Use typeof to avoid zero-argument method invocation on host objects (#15151) + var ret; + + if ( typeof context.getElementsByTagName !== "undefined" ) { + ret = context.getElementsByTagName( tag || "*" ); + + } else if ( typeof context.querySelectorAll !== "undefined" ) { + ret = context.querySelectorAll( tag || "*" ); + + } else { + ret = []; + } + + if ( tag === undefined || tag && nodeName( context, tag ) ) { + return jQuery.merge( [ context ], ret ); + } + + return ret; +} + + +// Mark scripts as having already been evaluated +function setGlobalEval( elems, refElements ) { + var i = 0, + l = elems.length; + + for ( ; i < l; i++ ) { + dataPriv.set( + elems[ i ], + "globalEval", + !refElements || dataPriv.get( refElements[ i ], "globalEval" ) + ); + } +} + + +var rhtml = /<|&#?\w+;/; + +function buildFragment( elems, context, scripts, selection, ignored ) { + var elem, tmp, tag, wrap, contains, j, + fragment = context.createDocumentFragment(), + nodes = [], + i = 0, + l = elems.length; + + for ( ; i < l; i++ ) { + elem = elems[ i ]; + + if ( elem || elem === 0 ) { + + // Add nodes directly + if ( jQuery.type( elem ) === "object" ) { + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); + + // Convert non-html into a text node + } else if ( !rhtml.test( elem ) ) { + nodes.push( context.createTextNode( elem ) ); + + // Convert html into DOM nodes + } else { + tmp = tmp || fragment.appendChild( context.createElement( "div" ) ); + + // Deserialize a standard representation + tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase(); + wrap = wrapMap[ tag ] || wrapMap._default; + tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ]; + + // Descend through wrappers to the right content + j = wrap[ 0 ]; + while ( j-- ) { + tmp = tmp.lastChild; + } + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( nodes, tmp.childNodes ); + + // Remember the top-level container + tmp = fragment.firstChild; + + // Ensure the created nodes are orphaned (#12392) + tmp.textContent = ""; + } + } + } + + // Remove wrapper from fragment + fragment.textContent = ""; + + i = 0; + while ( ( elem = nodes[ i++ ] ) ) { + + // Skip elements already in the context collection (trac-4087) + if ( selection && jQuery.inArray( elem, selection ) > -1 ) { + if ( ignored ) { + ignored.push( elem ); + } + continue; + } + + contains = jQuery.contains( elem.ownerDocument, elem ); + + // Append to fragment + tmp = getAll( fragment.appendChild( elem ), "script" ); + + // Preserve script evaluation history + if ( contains ) { + setGlobalEval( tmp ); + } + + // Capture executables + if ( scripts ) { + j = 0; + while ( ( elem = tmp[ j++ ] ) ) { + if ( rscriptType.test( elem.type || "" ) ) { + scripts.push( elem ); + } + } + } + } + + return fragment; +} + + +( function() { + var fragment = document.createDocumentFragment(), + div = fragment.appendChild( document.createElement( "div" ) ), + input = document.createElement( "input" ); + + // Support: Android 4.0 - 4.3 only + // Check state lost if the name is set (#11217) + // Support: Windows Web Apps (WWA) + // `name` and `type` must use .setAttribute for WWA (#14901) + input.setAttribute( "type", "radio" ); + input.setAttribute( "checked", "checked" ); + input.setAttribute( "name", "t" ); + + div.appendChild( input ); + + // Support: Android <=4.1 only + // Older WebKit doesn't clone checked state correctly in fragments + support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; + + // Support: IE <=11 only + // Make sure textarea (and checkbox) defaultValue is properly cloned + div.innerHTML = ""; + support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; +} )(); +var documentElement = document.documentElement; + + + +var + rkeyEvent = /^key/, + rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/, + rtypenamespace = /^([^.]*)(?:\.(.+)|)/; + +function returnTrue() { + return true; +} + +function returnFalse() { + return false; +} + +// Support: IE <=9 only +// See #13393 for more info +function safeActiveElement() { + try { + return document.activeElement; + } catch ( err ) { } +} + +function on( elem, types, selector, data, fn, one ) { + var origFn, type; + + // Types can be a map of types/handlers + if ( typeof types === "object" ) { + + // ( types-Object, selector, data ) + if ( typeof selector !== "string" ) { + + // ( types-Object, data ) + data = data || selector; + selector = undefined; + } + for ( type in types ) { + on( elem, type, selector, data, types[ type ], one ); + } + return elem; + } + + if ( data == null && fn == null ) { + + // ( types, fn ) + fn = selector; + data = selector = undefined; + } else if ( fn == null ) { + if ( typeof selector === "string" ) { + + // ( types, selector, fn ) + fn = data; + data = undefined; + } else { + + // ( types, data, fn ) + fn = data; + data = selector; + selector = undefined; + } + } + if ( fn === false ) { + fn = returnFalse; + } else if ( !fn ) { + return elem; + } + + if ( one === 1 ) { + origFn = fn; + fn = function( event ) { + + // Can use an empty set, since event contains the info + jQuery().off( event ); + return origFn.apply( this, arguments ); + }; + + // Use same guid so caller can remove using origFn + fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); + } + return elem.each( function() { + jQuery.event.add( this, types, fn, data, selector ); + } ); +} + +/* + * Helper functions for managing events -- not part of the public interface. + * Props to Dean Edwards' addEvent library for many of the ideas. + */ +jQuery.event = { + + global: {}, + + add: function( elem, types, handler, data, selector ) { + + var handleObjIn, eventHandle, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = dataPriv.get( elem ); + + // Don't attach events to noData or text/comment nodes (but allow plain objects) + if ( !elemData ) { + return; + } + + // Caller can pass in an object of custom data in lieu of the handler + if ( handler.handler ) { + handleObjIn = handler; + handler = handleObjIn.handler; + selector = handleObjIn.selector; + } + + // Ensure that invalid selectors throw exceptions at attach time + // Evaluate against documentElement in case elem is a non-element node (e.g., document) + if ( selector ) { + jQuery.find.matchesSelector( documentElement, selector ); + } + + // Make sure that the handler has a unique ID, used to find/remove it later + if ( !handler.guid ) { + handler.guid = jQuery.guid++; + } + + // Init the element's event structure and main handler, if this is the first + if ( !( events = elemData.events ) ) { + events = elemData.events = {}; + } + if ( !( eventHandle = elemData.handle ) ) { + eventHandle = elemData.handle = function( e ) { + + // Discard the second event of a jQuery.event.trigger() and + // when an event is called after a page has unloaded + return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ? + jQuery.event.dispatch.apply( elem, arguments ) : undefined; + }; + } + + // Handle multiple events separated by a space + types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[ t ] ) || []; + type = origType = tmp[ 1 ]; + namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); + + // There *must* be a type, no attaching namespace-only handlers + if ( !type ) { + continue; + } + + // If event changes its type, use the special event handlers for the changed type + special = jQuery.event.special[ type ] || {}; + + // If selector defined, determine special event api type, otherwise given type + type = ( selector ? special.delegateType : special.bindType ) || type; + + // Update special based on newly reset type + special = jQuery.event.special[ type ] || {}; + + // handleObj is passed to all event handlers + handleObj = jQuery.extend( { + type: type, + origType: origType, + data: data, + handler: handler, + guid: handler.guid, + selector: selector, + needsContext: selector && jQuery.expr.match.needsContext.test( selector ), + namespace: namespaces.join( "." ) + }, handleObjIn ); + + // Init the event handler queue if we're the first + if ( !( handlers = events[ type ] ) ) { + handlers = events[ type ] = []; + handlers.delegateCount = 0; + + // Only use addEventListener if the special events handler returns false + if ( !special.setup || + special.setup.call( elem, data, namespaces, eventHandle ) === false ) { + + if ( elem.addEventListener ) { + elem.addEventListener( type, eventHandle ); + } + } + } + + if ( special.add ) { + special.add.call( elem, handleObj ); + + if ( !handleObj.handler.guid ) { + handleObj.handler.guid = handler.guid; + } + } + + // Add to the element's handler list, delegates in front + if ( selector ) { + handlers.splice( handlers.delegateCount++, 0, handleObj ); + } else { + handlers.push( handleObj ); + } + + // Keep track of which events have ever been used, for event optimization + jQuery.event.global[ type ] = true; + } + + }, + + // Detach an event or set of events from an element + remove: function( elem, types, handler, selector, mappedTypes ) { + + var j, origCount, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = dataPriv.hasData( elem ) && dataPriv.get( elem ); + + if ( !elemData || !( events = elemData.events ) ) { + return; + } + + // Once for each type.namespace in types; type may be omitted + types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[ t ] ) || []; + type = origType = tmp[ 1 ]; + namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); + + // Unbind all events (on this namespace, if provided) for the element + if ( !type ) { + for ( type in events ) { + jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); + } + continue; + } + + special = jQuery.event.special[ type ] || {}; + type = ( selector ? special.delegateType : special.bindType ) || type; + handlers = events[ type ] || []; + tmp = tmp[ 2 ] && + new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ); + + // Remove matching events + origCount = j = handlers.length; + while ( j-- ) { + handleObj = handlers[ j ]; + + if ( ( mappedTypes || origType === handleObj.origType ) && + ( !handler || handler.guid === handleObj.guid ) && + ( !tmp || tmp.test( handleObj.namespace ) ) && + ( !selector || selector === handleObj.selector || + selector === "**" && handleObj.selector ) ) { + handlers.splice( j, 1 ); + + if ( handleObj.selector ) { + handlers.delegateCount--; + } + if ( special.remove ) { + special.remove.call( elem, handleObj ); + } + } + } + + // Remove generic event handler if we removed something and no more handlers exist + // (avoids potential for endless recursion during removal of special event handlers) + if ( origCount && !handlers.length ) { + if ( !special.teardown || + special.teardown.call( elem, namespaces, elemData.handle ) === false ) { + + jQuery.removeEvent( elem, type, elemData.handle ); + } + + delete events[ type ]; + } + } + + // Remove data and the expando if it's no longer used + if ( jQuery.isEmptyObject( events ) ) { + dataPriv.remove( elem, "handle events" ); + } + }, + + dispatch: function( nativeEvent ) { + + // Make a writable jQuery.Event from the native event object + var event = jQuery.event.fix( nativeEvent ); + + var i, j, ret, matched, handleObj, handlerQueue, + args = new Array( arguments.length ), + handlers = ( dataPriv.get( this, "events" ) || {} )[ event.type ] || [], + special = jQuery.event.special[ event.type ] || {}; + + // Use the fix-ed jQuery.Event rather than the (read-only) native event + args[ 0 ] = event; + + for ( i = 1; i < arguments.length; i++ ) { + args[ i ] = arguments[ i ]; + } + + event.delegateTarget = this; + + // Call the preDispatch hook for the mapped type, and let it bail if desired + if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { + return; + } + + // Determine handlers + handlerQueue = jQuery.event.handlers.call( this, event, handlers ); + + // Run delegates first; they may want to stop propagation beneath us + i = 0; + while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) { + event.currentTarget = matched.elem; + + j = 0; + while ( ( handleObj = matched.handlers[ j++ ] ) && + !event.isImmediatePropagationStopped() ) { + + // Triggered event must either 1) have no namespace, or 2) have namespace(s) + // a subset or equal to those in the bound event (both can have no namespace). + if ( !event.rnamespace || event.rnamespace.test( handleObj.namespace ) ) { + + event.handleObj = handleObj; + event.data = handleObj.data; + + ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle || + handleObj.handler ).apply( matched.elem, args ); + + if ( ret !== undefined ) { + if ( ( event.result = ret ) === false ) { + event.preventDefault(); + event.stopPropagation(); + } + } + } + } + } + + // Call the postDispatch hook for the mapped type + if ( special.postDispatch ) { + special.postDispatch.call( this, event ); + } + + return event.result; + }, + + handlers: function( event, handlers ) { + var i, handleObj, sel, matchedHandlers, matchedSelectors, + handlerQueue = [], + delegateCount = handlers.delegateCount, + cur = event.target; + + // Find delegate handlers + if ( delegateCount && + + // Support: IE <=9 + // Black-hole SVG instance trees (trac-13180) + cur.nodeType && + + // Support: Firefox <=42 + // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861) + // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click + // Support: IE 11 only + // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343) + !( event.type === "click" && event.button >= 1 ) ) { + + for ( ; cur !== this; cur = cur.parentNode || this ) { + + // Don't check non-elements (#13208) + // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) + if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) { + matchedHandlers = []; + matchedSelectors = {}; + for ( i = 0; i < delegateCount; i++ ) { + handleObj = handlers[ i ]; + + // Don't conflict with Object.prototype properties (#13203) + sel = handleObj.selector + " "; + + if ( matchedSelectors[ sel ] === undefined ) { + matchedSelectors[ sel ] = handleObj.needsContext ? + jQuery( sel, this ).index( cur ) > -1 : + jQuery.find( sel, this, null, [ cur ] ).length; + } + if ( matchedSelectors[ sel ] ) { + matchedHandlers.push( handleObj ); + } + } + if ( matchedHandlers.length ) { + handlerQueue.push( { elem: cur, handlers: matchedHandlers } ); + } + } + } + } + + // Add the remaining (directly-bound) handlers + cur = this; + if ( delegateCount < handlers.length ) { + handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } ); + } + + return handlerQueue; + }, + + addProp: function( name, hook ) { + Object.defineProperty( jQuery.Event.prototype, name, { + enumerable: true, + configurable: true, + + get: jQuery.isFunction( hook ) ? + function() { + if ( this.originalEvent ) { + return hook( this.originalEvent ); + } + } : + function() { + if ( this.originalEvent ) { + return this.originalEvent[ name ]; + } + }, + + set: function( value ) { + Object.defineProperty( this, name, { + enumerable: true, + configurable: true, + writable: true, + value: value + } ); + } + } ); + }, + + fix: function( originalEvent ) { + return originalEvent[ jQuery.expando ] ? + originalEvent : + new jQuery.Event( originalEvent ); + }, + + special: { + load: { + + // Prevent triggered image.load events from bubbling to window.load + noBubble: true + }, + focus: { + + // Fire native event if possible so blur/focus sequence is correct + trigger: function() { + if ( this !== safeActiveElement() && this.focus ) { + this.focus(); + return false; + } + }, + delegateType: "focusin" + }, + blur: { + trigger: function() { + if ( this === safeActiveElement() && this.blur ) { + this.blur(); + return false; + } + }, + delegateType: "focusout" + }, + click: { + + // For checkbox, fire native event so checked state will be right + trigger: function() { + if ( this.type === "checkbox" && this.click && nodeName( this, "input" ) ) { + this.click(); + return false; + } + }, + + // For cross-browser consistency, don't fire native .click() on links + _default: function( event ) { + return nodeName( event.target, "a" ); + } + }, + + beforeunload: { + postDispatch: function( event ) { + + // Support: Firefox 20+ + // Firefox doesn't alert if the returnValue field is not set. + if ( event.result !== undefined && event.originalEvent ) { + event.originalEvent.returnValue = event.result; + } + } + } + } +}; + +jQuery.removeEvent = function( elem, type, handle ) { + + // This "if" is needed for plain objects + if ( elem.removeEventListener ) { + elem.removeEventListener( type, handle ); + } +}; + +jQuery.Event = function( src, props ) { + + // Allow instantiation without the 'new' keyword + if ( !( this instanceof jQuery.Event ) ) { + return new jQuery.Event( src, props ); + } + + // Event object + if ( src && src.type ) { + this.originalEvent = src; + this.type = src.type; + + // Events bubbling up the document may have been marked as prevented + // by a handler lower down the tree; reflect the correct value. + this.isDefaultPrevented = src.defaultPrevented || + src.defaultPrevented === undefined && + + // Support: Android <=2.3 only + src.returnValue === false ? + returnTrue : + returnFalse; + + // Create target properties + // Support: Safari <=6 - 7 only + // Target should not be a text node (#504, #13143) + this.target = ( src.target && src.target.nodeType === 3 ) ? + src.target.parentNode : + src.target; + + this.currentTarget = src.currentTarget; + this.relatedTarget = src.relatedTarget; + + // Event type + } else { + this.type = src; + } + + // Put explicitly provided properties onto the event object + if ( props ) { + jQuery.extend( this, props ); + } + + // Create a timestamp if incoming event doesn't have one + this.timeStamp = src && src.timeStamp || jQuery.now(); + + // Mark it as fixed + this[ jQuery.expando ] = true; +}; + +// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding +// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html +jQuery.Event.prototype = { + constructor: jQuery.Event, + isDefaultPrevented: returnFalse, + isPropagationStopped: returnFalse, + isImmediatePropagationStopped: returnFalse, + isSimulated: false, + + preventDefault: function() { + var e = this.originalEvent; + + this.isDefaultPrevented = returnTrue; + + if ( e && !this.isSimulated ) { + e.preventDefault(); + } + }, + stopPropagation: function() { + var e = this.originalEvent; + + this.isPropagationStopped = returnTrue; + + if ( e && !this.isSimulated ) { + e.stopPropagation(); + } + }, + stopImmediatePropagation: function() { + var e = this.originalEvent; + + this.isImmediatePropagationStopped = returnTrue; + + if ( e && !this.isSimulated ) { + e.stopImmediatePropagation(); + } + + this.stopPropagation(); + } +}; + +// Includes all common event props including KeyEvent and MouseEvent specific props +jQuery.each( { + altKey: true, + bubbles: true, + cancelable: true, + changedTouches: true, + ctrlKey: true, + detail: true, + eventPhase: true, + metaKey: true, + pageX: true, + pageY: true, + shiftKey: true, + view: true, + "char": true, + charCode: true, + key: true, + keyCode: true, + button: true, + buttons: true, + clientX: true, + clientY: true, + offsetX: true, + offsetY: true, + pointerId: true, + pointerType: true, + screenX: true, + screenY: true, + targetTouches: true, + toElement: true, + touches: true, + + which: function( event ) { + var button = event.button; + + // Add which for key events + if ( event.which == null && rkeyEvent.test( event.type ) ) { + return event.charCode != null ? event.charCode : event.keyCode; + } + + // Add which for click: 1 === left; 2 === middle; 3 === right + if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) { + if ( button & 1 ) { + return 1; + } + + if ( button & 2 ) { + return 3; + } + + if ( button & 4 ) { + return 2; + } + + return 0; + } + + return event.which; + } +}, jQuery.event.addProp ); + +// Create mouseenter/leave events using mouseover/out and event-time checks +// so that event delegation works in jQuery. +// Do the same for pointerenter/pointerleave and pointerover/pointerout +// +// Support: Safari 7 only +// Safari sends mouseenter too often; see: +// https://bugs.chromium.org/p/chromium/issues/detail?id=470258 +// for the description of the bug (it existed in older Chrome versions as well). +jQuery.each( { + mouseenter: "mouseover", + mouseleave: "mouseout", + pointerenter: "pointerover", + pointerleave: "pointerout" +}, function( orig, fix ) { + jQuery.event.special[ orig ] = { + delegateType: fix, + bindType: fix, + + handle: function( event ) { + var ret, + target = this, + related = event.relatedTarget, + handleObj = event.handleObj; + + // For mouseenter/leave call the handler if related is outside the target. + // NB: No relatedTarget if the mouse left/entered the browser window + if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) { + event.type = handleObj.origType; + ret = handleObj.handler.apply( this, arguments ); + event.type = fix; + } + return ret; + } + }; +} ); + +jQuery.fn.extend( { + + on: function( types, selector, data, fn ) { + return on( this, types, selector, data, fn ); + }, + one: function( types, selector, data, fn ) { + return on( this, types, selector, data, fn, 1 ); + }, + off: function( types, selector, fn ) { + var handleObj, type; + if ( types && types.preventDefault && types.handleObj ) { + + // ( event ) dispatched jQuery.Event + handleObj = types.handleObj; + jQuery( types.delegateTarget ).off( + handleObj.namespace ? + handleObj.origType + "." + handleObj.namespace : + handleObj.origType, + handleObj.selector, + handleObj.handler + ); + return this; + } + if ( typeof types === "object" ) { + + // ( types-object [, selector] ) + for ( type in types ) { + this.off( type, selector, types[ type ] ); + } + return this; + } + if ( selector === false || typeof selector === "function" ) { + + // ( types [, fn] ) + fn = selector; + selector = undefined; + } + if ( fn === false ) { + fn = returnFalse; + } + return this.each( function() { + jQuery.event.remove( this, types, fn, selector ); + } ); + } +} ); + + +var + + /* eslint-disable max-len */ + + // See https://github.com/eslint/eslint/issues/3229 + rxhtmlTag = /<(?!area|br|col|embed|hr|img|input|link|meta|param)(([a-z][^\/\0>\x20\t\r\n\f]*)[^>]*)\/>/gi, + + /* eslint-enable */ + + // Support: IE <=10 - 11, Edge 12 - 13 + // In IE/Edge using regex groups here causes severe slowdowns. + // See https://connect.microsoft.com/IE/feedback/details/1736512/ + rnoInnerhtml = /\s*$/g; + +// Prefer a tbody over its parent table for containing new rows +function manipulationTarget( elem, content ) { + if ( nodeName( elem, "table" ) && + nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { + + return jQuery( ">tbody", elem )[ 0 ] || elem; + } + + return elem; +} + +// Replace/restore the type attribute of script elements for safe DOM manipulation +function disableScript( elem ) { + elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type; + return elem; +} +function restoreScript( elem ) { + var match = rscriptTypeMasked.exec( elem.type ); + + if ( match ) { + elem.type = match[ 1 ]; + } else { + elem.removeAttribute( "type" ); + } + + return elem; +} + +function cloneCopyEvent( src, dest ) { + var i, l, type, pdataOld, pdataCur, udataOld, udataCur, events; + + if ( dest.nodeType !== 1 ) { + return; + } + + // 1. Copy private data: events, handlers, etc. + if ( dataPriv.hasData( src ) ) { + pdataOld = dataPriv.access( src ); + pdataCur = dataPriv.set( dest, pdataOld ); + events = pdataOld.events; + + if ( events ) { + delete pdataCur.handle; + pdataCur.events = {}; + + for ( type in events ) { + for ( i = 0, l = events[ type ].length; i < l; i++ ) { + jQuery.event.add( dest, type, events[ type ][ i ] ); + } + } + } + } + + // 2. Copy user data + if ( dataUser.hasData( src ) ) { + udataOld = dataUser.access( src ); + udataCur = jQuery.extend( {}, udataOld ); + + dataUser.set( dest, udataCur ); + } +} + +// Fix IE bugs, see support tests +function fixInput( src, dest ) { + var nodeName = dest.nodeName.toLowerCase(); + + // Fails to persist the checked state of a cloned checkbox or radio button. + if ( nodeName === "input" && rcheckableType.test( src.type ) ) { + dest.checked = src.checked; + + // Fails to return the selected option to the default selected state when cloning options + } else if ( nodeName === "input" || nodeName === "textarea" ) { + dest.defaultValue = src.defaultValue; + } +} + +function domManip( collection, args, callback, ignored ) { + + // Flatten any nested arrays + args = concat.apply( [], args ); + + var fragment, first, scripts, hasScripts, node, doc, + i = 0, + l = collection.length, + iNoClone = l - 1, + value = args[ 0 ], + isFunction = jQuery.isFunction( value ); + + // We can't cloneNode fragments that contain checked, in WebKit + if ( isFunction || + ( l > 1 && typeof value === "string" && + !support.checkClone && rchecked.test( value ) ) ) { + return collection.each( function( index ) { + var self = collection.eq( index ); + if ( isFunction ) { + args[ 0 ] = value.call( this, index, self.html() ); + } + domManip( self, args, callback, ignored ); + } ); + } + + if ( l ) { + fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored ); + first = fragment.firstChild; + + if ( fragment.childNodes.length === 1 ) { + fragment = first; + } + + // Require either new content or an interest in ignored elements to invoke the callback + if ( first || ignored ) { + scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); + hasScripts = scripts.length; + + // Use the original fragment for the last item + // instead of the first because it can end up + // being emptied incorrectly in certain situations (#8070). + for ( ; i < l; i++ ) { + node = fragment; + + if ( i !== iNoClone ) { + node = jQuery.clone( node, true, true ); + + // Keep references to cloned scripts for later restoration + if ( hasScripts ) { + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( scripts, getAll( node, "script" ) ); + } + } + + callback.call( collection[ i ], node, i ); + } + + if ( hasScripts ) { + doc = scripts[ scripts.length - 1 ].ownerDocument; + + // Reenable scripts + jQuery.map( scripts, restoreScript ); + + // Evaluate executable scripts on first document insertion + for ( i = 0; i < hasScripts; i++ ) { + node = scripts[ i ]; + if ( rscriptType.test( node.type || "" ) && + !dataPriv.access( node, "globalEval" ) && + jQuery.contains( doc, node ) ) { + + if ( node.src ) { + + // Optional AJAX dependency, but won't run scripts if not present + if ( jQuery._evalUrl ) { + jQuery._evalUrl( node.src ); + } + } else { + DOMEval( node.textContent.replace( rcleanScript, "" ), doc ); + } + } + } + } + } + } + + return collection; +} + +function remove( elem, selector, keepData ) { + var node, + nodes = selector ? jQuery.filter( selector, elem ) : elem, + i = 0; + + for ( ; ( node = nodes[ i ] ) != null; i++ ) { + if ( !keepData && node.nodeType === 1 ) { + jQuery.cleanData( getAll( node ) ); + } + + if ( node.parentNode ) { + if ( keepData && jQuery.contains( node.ownerDocument, node ) ) { + setGlobalEval( getAll( node, "script" ) ); + } + node.parentNode.removeChild( node ); + } + } + + return elem; +} + +jQuery.extend( { + htmlPrefilter: function( html ) { + return html.replace( rxhtmlTag, "<$1>" ); + }, + + clone: function( elem, dataAndEvents, deepDataAndEvents ) { + var i, l, srcElements, destElements, + clone = elem.cloneNode( true ), + inPage = jQuery.contains( elem.ownerDocument, elem ); + + // Fix IE cloning issues + if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && + !jQuery.isXMLDoc( elem ) ) { + + // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2 + destElements = getAll( clone ); + srcElements = getAll( elem ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + fixInput( srcElements[ i ], destElements[ i ] ); + } + } + + // Copy the events from the original to the clone + if ( dataAndEvents ) { + if ( deepDataAndEvents ) { + srcElements = srcElements || getAll( elem ); + destElements = destElements || getAll( clone ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + cloneCopyEvent( srcElements[ i ], destElements[ i ] ); + } + } else { + cloneCopyEvent( elem, clone ); + } + } + + // Preserve script evaluation history + destElements = getAll( clone, "script" ); + if ( destElements.length > 0 ) { + setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); + } + + // Return the cloned set + return clone; + }, + + cleanData: function( elems ) { + var data, elem, type, + special = jQuery.event.special, + i = 0; + + for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) { + if ( acceptData( elem ) ) { + if ( ( data = elem[ dataPriv.expando ] ) ) { + if ( data.events ) { + for ( type in data.events ) { + if ( special[ type ] ) { + jQuery.event.remove( elem, type ); + + // This is a shortcut to avoid jQuery.event.remove's overhead + } else { + jQuery.removeEvent( elem, type, data.handle ); + } + } + } + + // Support: Chrome <=35 - 45+ + // Assign undefined instead of using delete, see Data#remove + elem[ dataPriv.expando ] = undefined; + } + if ( elem[ dataUser.expando ] ) { + + // Support: Chrome <=35 - 45+ + // Assign undefined instead of using delete, see Data#remove + elem[ dataUser.expando ] = undefined; + } + } + } + } +} ); + +jQuery.fn.extend( { + detach: function( selector ) { + return remove( this, selector, true ); + }, + + remove: function( selector ) { + return remove( this, selector ); + }, + + text: function( value ) { + return access( this, function( value ) { + return value === undefined ? + jQuery.text( this ) : + this.empty().each( function() { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + this.textContent = value; + } + } ); + }, null, value, arguments.length ); + }, + + append: function() { + return domManip( this, arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.appendChild( elem ); + } + } ); + }, + + prepend: function() { + return domManip( this, arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.insertBefore( elem, target.firstChild ); + } + } ); + }, + + before: function() { + return domManip( this, arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this ); + } + } ); + }, + + after: function() { + return domManip( this, arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this.nextSibling ); + } + } ); + }, + + empty: function() { + var elem, + i = 0; + + for ( ; ( elem = this[ i ] ) != null; i++ ) { + if ( elem.nodeType === 1 ) { + + // Prevent memory leaks + jQuery.cleanData( getAll( elem, false ) ); + + // Remove any remaining nodes + elem.textContent = ""; + } + } + + return this; + }, + + clone: function( dataAndEvents, deepDataAndEvents ) { + dataAndEvents = dataAndEvents == null ? false : dataAndEvents; + deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; + + return this.map( function() { + return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); + } ); + }, + + html: function( value ) { + return access( this, function( value ) { + var elem = this[ 0 ] || {}, + i = 0, + l = this.length; + + if ( value === undefined && elem.nodeType === 1 ) { + return elem.innerHTML; + } + + // See if we can take a shortcut and just use innerHTML + if ( typeof value === "string" && !rnoInnerhtml.test( value ) && + !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { + + value = jQuery.htmlPrefilter( value ); + + try { + for ( ; i < l; i++ ) { + elem = this[ i ] || {}; + + // Remove element nodes and prevent memory leaks + if ( elem.nodeType === 1 ) { + jQuery.cleanData( getAll( elem, false ) ); + elem.innerHTML = value; + } + } + + elem = 0; + + // If using innerHTML throws an exception, use the fallback method + } catch ( e ) {} + } + + if ( elem ) { + this.empty().append( value ); + } + }, null, value, arguments.length ); + }, + + replaceWith: function() { + var ignored = []; + + // Make the changes, replacing each non-ignored context element with the new content + return domManip( this, arguments, function( elem ) { + var parent = this.parentNode; + + if ( jQuery.inArray( this, ignored ) < 0 ) { + jQuery.cleanData( getAll( this ) ); + if ( parent ) { + parent.replaceChild( elem, this ); + } + } + + // Force callback invocation + }, ignored ); + } +} ); + +jQuery.each( { + appendTo: "append", + prependTo: "prepend", + insertBefore: "before", + insertAfter: "after", + replaceAll: "replaceWith" +}, function( name, original ) { + jQuery.fn[ name ] = function( selector ) { + var elems, + ret = [], + insert = jQuery( selector ), + last = insert.length - 1, + i = 0; + + for ( ; i <= last; i++ ) { + elems = i === last ? this : this.clone( true ); + jQuery( insert[ i ] )[ original ]( elems ); + + // Support: Android <=4.0 only, PhantomJS 1 only + // .get() because push.apply(_, arraylike) throws on ancient WebKit + push.apply( ret, elems.get() ); + } + + return this.pushStack( ret ); + }; +} ); +var rmargin = ( /^margin/ ); + +var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); + +var getStyles = function( elem ) { + + // Support: IE <=11 only, Firefox <=30 (#15098, #14150) + // IE throws on elements created in popups + // FF meanwhile throws on frame elements through "defaultView.getComputedStyle" + var view = elem.ownerDocument.defaultView; + + if ( !view || !view.opener ) { + view = window; + } + + return view.getComputedStyle( elem ); + }; + + + +( function() { + + // Executing both pixelPosition & boxSizingReliable tests require only one layout + // so they're executed at the same time to save the second computation. + function computeStyleTests() { + + // This is a singleton, we need to execute it only once + if ( !div ) { + return; + } + + div.style.cssText = + "box-sizing:border-box;" + + "position:relative;display:block;" + + "margin:auto;border:1px;padding:1px;" + + "top:1%;width:50%"; + div.innerHTML = ""; + documentElement.appendChild( container ); + + var divStyle = window.getComputedStyle( div ); + pixelPositionVal = divStyle.top !== "1%"; + + // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 + reliableMarginLeftVal = divStyle.marginLeft === "2px"; + boxSizingReliableVal = divStyle.width === "4px"; + + // Support: Android 4.0 - 4.3 only + // Some styles come back with percentage values, even though they shouldn't + div.style.marginRight = "50%"; + pixelMarginRightVal = divStyle.marginRight === "4px"; + + documentElement.removeChild( container ); + + // Nullify the div so it wouldn't be stored in the memory and + // it will also be a sign that checks already performed + div = null; + } + + var pixelPositionVal, boxSizingReliableVal, pixelMarginRightVal, reliableMarginLeftVal, + container = document.createElement( "div" ), + div = document.createElement( "div" ); + + // Finish early in limited (non-browser) environments + if ( !div.style ) { + return; + } + + // Support: IE <=9 - 11 only + // Style of cloned element affects source element cloned (#8908) + div.style.backgroundClip = "content-box"; + div.cloneNode( true ).style.backgroundClip = ""; + support.clearCloneStyle = div.style.backgroundClip === "content-box"; + + container.style.cssText = "border:0;width:8px;height:0;top:0;left:-9999px;" + + "padding:0;margin-top:1px;position:absolute"; + container.appendChild( div ); + + jQuery.extend( support, { + pixelPosition: function() { + computeStyleTests(); + return pixelPositionVal; + }, + boxSizingReliable: function() { + computeStyleTests(); + return boxSizingReliableVal; + }, + pixelMarginRight: function() { + computeStyleTests(); + return pixelMarginRightVal; + }, + reliableMarginLeft: function() { + computeStyleTests(); + return reliableMarginLeftVal; + } + } ); +} )(); + + +function curCSS( elem, name, computed ) { + var width, minWidth, maxWidth, ret, + + // Support: Firefox 51+ + // Retrieving style before computed somehow + // fixes an issue with getting wrong values + // on detached elements + style = elem.style; + + computed = computed || getStyles( elem ); + + // getPropertyValue is needed for: + // .css('filter') (IE 9 only, #12537) + // .css('--customProperty) (#3144) + if ( computed ) { + ret = computed.getPropertyValue( name ) || computed[ name ]; + + if ( ret === "" && !jQuery.contains( elem.ownerDocument, elem ) ) { + ret = jQuery.style( elem, name ); + } + + // A tribute to the "awesome hack by Dean Edwards" + // Android Browser returns percentage for some values, + // but width seems to be reliably pixels. + // This is against the CSSOM draft spec: + // https://drafts.csswg.org/cssom/#resolved-values + if ( !support.pixelMarginRight() && rnumnonpx.test( ret ) && rmargin.test( name ) ) { + + // Remember the original values + width = style.width; + minWidth = style.minWidth; + maxWidth = style.maxWidth; + + // Put in the new values to get a computed value out + style.minWidth = style.maxWidth = style.width = ret; + ret = computed.width; + + // Revert the changed values + style.width = width; + style.minWidth = minWidth; + style.maxWidth = maxWidth; + } + } + + return ret !== undefined ? + + // Support: IE <=9 - 11 only + // IE returns zIndex value as an integer. + ret + "" : + ret; +} + + +function addGetHookIf( conditionFn, hookFn ) { + + // Define the hook, we'll check on the first run if it's really needed. + return { + get: function() { + if ( conditionFn() ) { + + // Hook not needed (or it's not possible to use it due + // to missing dependency), remove it. + delete this.get; + return; + } + + // Hook needed; redefine it so that the support test is not executed again. + return ( this.get = hookFn ).apply( this, arguments ); + } + }; +} + + +var + + // Swappable if display is none or starts with table + // except "table", "table-cell", or "table-caption" + // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display + rdisplayswap = /^(none|table(?!-c[ea]).+)/, + rcustomProp = /^--/, + cssShow = { position: "absolute", visibility: "hidden", display: "block" }, + cssNormalTransform = { + letterSpacing: "0", + fontWeight: "400" + }, + + cssPrefixes = [ "Webkit", "Moz", "ms" ], + emptyStyle = document.createElement( "div" ).style; + +// Return a css property mapped to a potentially vendor prefixed property +function vendorPropName( name ) { + + // Shortcut for names that are not vendor prefixed + if ( name in emptyStyle ) { + return name; + } + + // Check for vendor prefixed names + var capName = name[ 0 ].toUpperCase() + name.slice( 1 ), + i = cssPrefixes.length; + + while ( i-- ) { + name = cssPrefixes[ i ] + capName; + if ( name in emptyStyle ) { + return name; + } + } +} + +// Return a property mapped along what jQuery.cssProps suggests or to +// a vendor prefixed property. +function finalPropName( name ) { + var ret = jQuery.cssProps[ name ]; + if ( !ret ) { + ret = jQuery.cssProps[ name ] = vendorPropName( name ) || name; + } + return ret; +} + +function setPositiveNumber( elem, value, subtract ) { + + // Any relative (+/-) values have already been + // normalized at this point + var matches = rcssNum.exec( value ); + return matches ? + + // Guard against undefined "subtract", e.g., when used as in cssHooks + Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) : + value; +} + +function augmentWidthOrHeight( elem, name, extra, isBorderBox, styles ) { + var i, + val = 0; + + // If we already have the right measurement, avoid augmentation + if ( extra === ( isBorderBox ? "border" : "content" ) ) { + i = 4; + + // Otherwise initialize for horizontal or vertical properties + } else { + i = name === "width" ? 1 : 0; + } + + for ( ; i < 4; i += 2 ) { + + // Both box models exclude margin, so add it if we want it + if ( extra === "margin" ) { + val += jQuery.css( elem, extra + cssExpand[ i ], true, styles ); + } + + if ( isBorderBox ) { + + // border-box includes padding, so remove it if we want content + if ( extra === "content" ) { + val -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + } + + // At this point, extra isn't border nor margin, so remove border + if ( extra !== "margin" ) { + val -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + } else { + + // At this point, extra isn't content, so add padding + val += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + + // At this point, extra isn't content nor padding, so add border + if ( extra !== "padding" ) { + val += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + } + } + + return val; +} + +function getWidthOrHeight( elem, name, extra ) { + + // Start with computed style + var valueIsBorderBox, + styles = getStyles( elem ), + val = curCSS( elem, name, styles ), + isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; + + // Computed unit is not pixels. Stop here and return. + if ( rnumnonpx.test( val ) ) { + return val; + } + + // Check for style in case a browser which returns unreliable values + // for getComputedStyle silently falls back to the reliable elem.style + valueIsBorderBox = isBorderBox && + ( support.boxSizingReliable() || val === elem.style[ name ] ); + + // Fall back to offsetWidth/Height when value is "auto" + // This happens for inline elements with no explicit setting (gh-3571) + if ( val === "auto" ) { + val = elem[ "offset" + name[ 0 ].toUpperCase() + name.slice( 1 ) ]; + } + + // Normalize "", auto, and prepare for extra + val = parseFloat( val ) || 0; + + // Use the active box-sizing model to add/subtract irrelevant styles + return ( val + + augmentWidthOrHeight( + elem, + name, + extra || ( isBorderBox ? "border" : "content" ), + valueIsBorderBox, + styles + ) + ) + "px"; +} + +jQuery.extend( { + + // Add in style property hooks for overriding the default + // behavior of getting and setting a style property + cssHooks: { + opacity: { + get: function( elem, computed ) { + if ( computed ) { + + // We should always get a number back from opacity + var ret = curCSS( elem, "opacity" ); + return ret === "" ? "1" : ret; + } + } + } + }, + + // Don't automatically add "px" to these possibly-unitless properties + cssNumber: { + "animationIterationCount": true, + "columnCount": true, + "fillOpacity": true, + "flexGrow": true, + "flexShrink": true, + "fontWeight": true, + "lineHeight": true, + "opacity": true, + "order": true, + "orphans": true, + "widows": true, + "zIndex": true, + "zoom": true + }, + + // Add in properties whose names you wish to fix before + // setting or getting the value + cssProps: { + "float": "cssFloat" + }, + + // Get and set the style property on a DOM Node + style: function( elem, name, value, extra ) { + + // Don't set styles on text and comment nodes + if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { + return; + } + + // Make sure that we're working with the right name + var ret, type, hooks, + origName = jQuery.camelCase( name ), + isCustomProp = rcustomProp.test( name ), + style = elem.style; + + // Make sure that we're working with the right name. We don't + // want to query the value if it is a CSS custom property + // since they are user-defined. + if ( !isCustomProp ) { + name = finalPropName( origName ); + } + + // Gets hook for the prefixed version, then unprefixed version + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // Check if we're setting a value + if ( value !== undefined ) { + type = typeof value; + + // Convert "+=" or "-=" to relative numbers (#7345) + if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) { + value = adjustCSS( elem, name, ret ); + + // Fixes bug #9237 + type = "number"; + } + + // Make sure that null and NaN values aren't set (#7116) + if ( value == null || value !== value ) { + return; + } + + // If a number was passed in, add the unit (except for certain CSS properties) + if ( type === "number" ) { + value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" ); + } + + // background-* props affect original clone's values + if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) { + style[ name ] = "inherit"; + } + + // If a hook was provided, use that value, otherwise just set the specified value + if ( !hooks || !( "set" in hooks ) || + ( value = hooks.set( elem, value, extra ) ) !== undefined ) { + + if ( isCustomProp ) { + style.setProperty( name, value ); + } else { + style[ name ] = value; + } + } + + } else { + + // If a hook was provided get the non-computed value from there + if ( hooks && "get" in hooks && + ( ret = hooks.get( elem, false, extra ) ) !== undefined ) { + + return ret; + } + + // Otherwise just get the value from the style object + return style[ name ]; + } + }, + + css: function( elem, name, extra, styles ) { + var val, num, hooks, + origName = jQuery.camelCase( name ), + isCustomProp = rcustomProp.test( name ); + + // Make sure that we're working with the right name. We don't + // want to modify the value if it is a CSS custom property + // since they are user-defined. + if ( !isCustomProp ) { + name = finalPropName( origName ); + } + + // Try prefixed name followed by the unprefixed name + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // If a hook was provided get the computed value from there + if ( hooks && "get" in hooks ) { + val = hooks.get( elem, true, extra ); + } + + // Otherwise, if a way to get the computed value exists, use that + if ( val === undefined ) { + val = curCSS( elem, name, styles ); + } + + // Convert "normal" to computed value + if ( val === "normal" && name in cssNormalTransform ) { + val = cssNormalTransform[ name ]; + } + + // Make numeric if forced or a qualifier was provided and val looks numeric + if ( extra === "" || extra ) { + num = parseFloat( val ); + return extra === true || isFinite( num ) ? num || 0 : val; + } + + return val; + } +} ); + +jQuery.each( [ "height", "width" ], function( i, name ) { + jQuery.cssHooks[ name ] = { + get: function( elem, computed, extra ) { + if ( computed ) { + + // Certain elements can have dimension info if we invisibly show them + // but it must have a current display style that would benefit + return rdisplayswap.test( jQuery.css( elem, "display" ) ) && + + // Support: Safari 8+ + // Table columns in Safari have non-zero offsetWidth & zero + // getBoundingClientRect().width unless display is changed. + // Support: IE <=11 only + // Running getBoundingClientRect on a disconnected node + // in IE throws an error. + ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? + swap( elem, cssShow, function() { + return getWidthOrHeight( elem, name, extra ); + } ) : + getWidthOrHeight( elem, name, extra ); + } + }, + + set: function( elem, value, extra ) { + var matches, + styles = extra && getStyles( elem ), + subtract = extra && augmentWidthOrHeight( + elem, + name, + extra, + jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + styles + ); + + // Convert to pixels if value adjustment is needed + if ( subtract && ( matches = rcssNum.exec( value ) ) && + ( matches[ 3 ] || "px" ) !== "px" ) { + + elem.style[ name ] = value; + value = jQuery.css( elem, name ); + } + + return setPositiveNumber( elem, value, subtract ); + } + }; +} ); + +jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft, + function( elem, computed ) { + if ( computed ) { + return ( parseFloat( curCSS( elem, "marginLeft" ) ) || + elem.getBoundingClientRect().left - + swap( elem, { marginLeft: 0 }, function() { + return elem.getBoundingClientRect().left; + } ) + ) + "px"; + } + } +); + +// These hooks are used by animate to expand properties +jQuery.each( { + margin: "", + padding: "", + border: "Width" +}, function( prefix, suffix ) { + jQuery.cssHooks[ prefix + suffix ] = { + expand: function( value ) { + var i = 0, + expanded = {}, + + // Assumes a single number if not a string + parts = typeof value === "string" ? value.split( " " ) : [ value ]; + + for ( ; i < 4; i++ ) { + expanded[ prefix + cssExpand[ i ] + suffix ] = + parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; + } + + return expanded; + } + }; + + if ( !rmargin.test( prefix ) ) { + jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; + } +} ); + +jQuery.fn.extend( { + css: function( name, value ) { + return access( this, function( elem, name, value ) { + var styles, len, + map = {}, + i = 0; + + if ( Array.isArray( name ) ) { + styles = getStyles( elem ); + len = name.length; + + for ( ; i < len; i++ ) { + map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); + } + + return map; + } + + return value !== undefined ? + jQuery.style( elem, name, value ) : + jQuery.css( elem, name ); + }, name, value, arguments.length > 1 ); + } +} ); + + +function Tween( elem, options, prop, end, easing ) { + return new Tween.prototype.init( elem, options, prop, end, easing ); +} +jQuery.Tween = Tween; + +Tween.prototype = { + constructor: Tween, + init: function( elem, options, prop, end, easing, unit ) { + this.elem = elem; + this.prop = prop; + this.easing = easing || jQuery.easing._default; + this.options = options; + this.start = this.now = this.cur(); + this.end = end; + this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); + }, + cur: function() { + var hooks = Tween.propHooks[ this.prop ]; + + return hooks && hooks.get ? + hooks.get( this ) : + Tween.propHooks._default.get( this ); + }, + run: function( percent ) { + var eased, + hooks = Tween.propHooks[ this.prop ]; + + if ( this.options.duration ) { + this.pos = eased = jQuery.easing[ this.easing ]( + percent, this.options.duration * percent, 0, 1, this.options.duration + ); + } else { + this.pos = eased = percent; + } + this.now = ( this.end - this.start ) * eased + this.start; + + if ( this.options.step ) { + this.options.step.call( this.elem, this.now, this ); + } + + if ( hooks && hooks.set ) { + hooks.set( this ); + } else { + Tween.propHooks._default.set( this ); + } + return this; + } +}; + +Tween.prototype.init.prototype = Tween.prototype; + +Tween.propHooks = { + _default: { + get: function( tween ) { + var result; + + // Use a property on the element directly when it is not a DOM element, + // or when there is no matching style property that exists. + if ( tween.elem.nodeType !== 1 || + tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) { + return tween.elem[ tween.prop ]; + } + + // Passing an empty string as a 3rd parameter to .css will automatically + // attempt a parseFloat and fallback to a string if the parse fails. + // Simple values such as "10px" are parsed to Float; + // complex values such as "rotate(1rad)" are returned as-is. + result = jQuery.css( tween.elem, tween.prop, "" ); + + // Empty strings, null, undefined and "auto" are converted to 0. + return !result || result === "auto" ? 0 : result; + }, + set: function( tween ) { + + // Use step hook for back compat. + // Use cssHook if its there. + // Use .style if available and use plain properties where available. + if ( jQuery.fx.step[ tween.prop ] ) { + jQuery.fx.step[ tween.prop ]( tween ); + } else if ( tween.elem.nodeType === 1 && + ( tween.elem.style[ jQuery.cssProps[ tween.prop ] ] != null || + jQuery.cssHooks[ tween.prop ] ) ) { + jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); + } else { + tween.elem[ tween.prop ] = tween.now; + } + } + } +}; + +// Support: IE <=9 only +// Panic based approach to setting things on disconnected nodes +Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { + set: function( tween ) { + if ( tween.elem.nodeType && tween.elem.parentNode ) { + tween.elem[ tween.prop ] = tween.now; + } + } +}; + +jQuery.easing = { + linear: function( p ) { + return p; + }, + swing: function( p ) { + return 0.5 - Math.cos( p * Math.PI ) / 2; + }, + _default: "swing" +}; + +jQuery.fx = Tween.prototype.init; + +// Back compat <1.8 extension point +jQuery.fx.step = {}; + + + + +var + fxNow, inProgress, + rfxtypes = /^(?:toggle|show|hide)$/, + rrun = /queueHooks$/; + +function schedule() { + if ( inProgress ) { + if ( document.hidden === false && window.requestAnimationFrame ) { + window.requestAnimationFrame( schedule ); + } else { + window.setTimeout( schedule, jQuery.fx.interval ); + } + + jQuery.fx.tick(); + } +} + +// Animations created synchronously will run synchronously +function createFxNow() { + window.setTimeout( function() { + fxNow = undefined; + } ); + return ( fxNow = jQuery.now() ); +} + +// Generate parameters to create a standard animation +function genFx( type, includeWidth ) { + var which, + i = 0, + attrs = { height: type }; + + // If we include width, step value is 1 to do all cssExpand values, + // otherwise step value is 2 to skip over Left and Right + includeWidth = includeWidth ? 1 : 0; + for ( ; i < 4; i += 2 - includeWidth ) { + which = cssExpand[ i ]; + attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; + } + + if ( includeWidth ) { + attrs.opacity = attrs.width = type; + } + + return attrs; +} + +function createTween( value, prop, animation ) { + var tween, + collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ), + index = 0, + length = collection.length; + for ( ; index < length; index++ ) { + if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) { + + // We're done with this property + return tween; + } + } +} + +function defaultPrefilter( elem, props, opts ) { + var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display, + isBox = "width" in props || "height" in props, + anim = this, + orig = {}, + style = elem.style, + hidden = elem.nodeType && isHiddenWithinTree( elem ), + dataShow = dataPriv.get( elem, "fxshow" ); + + // Queue-skipping animations hijack the fx hooks + if ( !opts.queue ) { + hooks = jQuery._queueHooks( elem, "fx" ); + if ( hooks.unqueued == null ) { + hooks.unqueued = 0; + oldfire = hooks.empty.fire; + hooks.empty.fire = function() { + if ( !hooks.unqueued ) { + oldfire(); + } + }; + } + hooks.unqueued++; + + anim.always( function() { + + // Ensure the complete handler is called before this completes + anim.always( function() { + hooks.unqueued--; + if ( !jQuery.queue( elem, "fx" ).length ) { + hooks.empty.fire(); + } + } ); + } ); + } + + // Detect show/hide animations + for ( prop in props ) { + value = props[ prop ]; + if ( rfxtypes.test( value ) ) { + delete props[ prop ]; + toggle = toggle || value === "toggle"; + if ( value === ( hidden ? "hide" : "show" ) ) { + + // Pretend to be hidden if this is a "show" and + // there is still data from a stopped show/hide + if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) { + hidden = true; + + // Ignore all other no-op show/hide data + } else { + continue; + } + } + orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop ); + } + } + + // Bail out if this is a no-op like .hide().hide() + propTween = !jQuery.isEmptyObject( props ); + if ( !propTween && jQuery.isEmptyObject( orig ) ) { + return; + } + + // Restrict "overflow" and "display" styles during box animations + if ( isBox && elem.nodeType === 1 ) { + + // Support: IE <=9 - 11, Edge 12 - 13 + // Record all 3 overflow attributes because IE does not infer the shorthand + // from identically-valued overflowX and overflowY + opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; + + // Identify a display type, preferring old show/hide data over the CSS cascade + restoreDisplay = dataShow && dataShow.display; + if ( restoreDisplay == null ) { + restoreDisplay = dataPriv.get( elem, "display" ); + } + display = jQuery.css( elem, "display" ); + if ( display === "none" ) { + if ( restoreDisplay ) { + display = restoreDisplay; + } else { + + // Get nonempty value(s) by temporarily forcing visibility + showHide( [ elem ], true ); + restoreDisplay = elem.style.display || restoreDisplay; + display = jQuery.css( elem, "display" ); + showHide( [ elem ] ); + } + } + + // Animate inline elements as inline-block + if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) { + if ( jQuery.css( elem, "float" ) === "none" ) { + + // Restore the original display value at the end of pure show/hide animations + if ( !propTween ) { + anim.done( function() { + style.display = restoreDisplay; + } ); + if ( restoreDisplay == null ) { + display = style.display; + restoreDisplay = display === "none" ? "" : display; + } + } + style.display = "inline-block"; + } + } + } + + if ( opts.overflow ) { + style.overflow = "hidden"; + anim.always( function() { + style.overflow = opts.overflow[ 0 ]; + style.overflowX = opts.overflow[ 1 ]; + style.overflowY = opts.overflow[ 2 ]; + } ); + } + + // Implement show/hide animations + propTween = false; + for ( prop in orig ) { + + // General show/hide setup for this element animation + if ( !propTween ) { + if ( dataShow ) { + if ( "hidden" in dataShow ) { + hidden = dataShow.hidden; + } + } else { + dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } ); + } + + // Store hidden/visible for toggle so `.stop().toggle()` "reverses" + if ( toggle ) { + dataShow.hidden = !hidden; + } + + // Show elements before animating them + if ( hidden ) { + showHide( [ elem ], true ); + } + + /* eslint-disable no-loop-func */ + + anim.done( function() { + + /* eslint-enable no-loop-func */ + + // The final step of a "hide" animation is actually hiding the element + if ( !hidden ) { + showHide( [ elem ] ); + } + dataPriv.remove( elem, "fxshow" ); + for ( prop in orig ) { + jQuery.style( elem, prop, orig[ prop ] ); + } + } ); + } + + // Per-property setup + propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim ); + if ( !( prop in dataShow ) ) { + dataShow[ prop ] = propTween.start; + if ( hidden ) { + propTween.end = propTween.start; + propTween.start = 0; + } + } + } +} + +function propFilter( props, specialEasing ) { + var index, name, easing, value, hooks; + + // camelCase, specialEasing and expand cssHook pass + for ( index in props ) { + name = jQuery.camelCase( index ); + easing = specialEasing[ name ]; + value = props[ index ]; + if ( Array.isArray( value ) ) { + easing = value[ 1 ]; + value = props[ index ] = value[ 0 ]; + } + + if ( index !== name ) { + props[ name ] = value; + delete props[ index ]; + } + + hooks = jQuery.cssHooks[ name ]; + if ( hooks && "expand" in hooks ) { + value = hooks.expand( value ); + delete props[ name ]; + + // Not quite $.extend, this won't overwrite existing keys. + // Reusing 'index' because we have the correct "name" + for ( index in value ) { + if ( !( index in props ) ) { + props[ index ] = value[ index ]; + specialEasing[ index ] = easing; + } + } + } else { + specialEasing[ name ] = easing; + } + } +} + +function Animation( elem, properties, options ) { + var result, + stopped, + index = 0, + length = Animation.prefilters.length, + deferred = jQuery.Deferred().always( function() { + + // Don't match elem in the :animated selector + delete tick.elem; + } ), + tick = function() { + if ( stopped ) { + return false; + } + var currentTime = fxNow || createFxNow(), + remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), + + // Support: Android 2.3 only + // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497) + temp = remaining / animation.duration || 0, + percent = 1 - temp, + index = 0, + length = animation.tweens.length; + + for ( ; index < length; index++ ) { + animation.tweens[ index ].run( percent ); + } + + deferred.notifyWith( elem, [ animation, percent, remaining ] ); + + // If there's more to do, yield + if ( percent < 1 && length ) { + return remaining; + } + + // If this was an empty animation, synthesize a final progress notification + if ( !length ) { + deferred.notifyWith( elem, [ animation, 1, 0 ] ); + } + + // Resolve the animation and report its conclusion + deferred.resolveWith( elem, [ animation ] ); + return false; + }, + animation = deferred.promise( { + elem: elem, + props: jQuery.extend( {}, properties ), + opts: jQuery.extend( true, { + specialEasing: {}, + easing: jQuery.easing._default + }, options ), + originalProperties: properties, + originalOptions: options, + startTime: fxNow || createFxNow(), + duration: options.duration, + tweens: [], + createTween: function( prop, end ) { + var tween = jQuery.Tween( elem, animation.opts, prop, end, + animation.opts.specialEasing[ prop ] || animation.opts.easing ); + animation.tweens.push( tween ); + return tween; + }, + stop: function( gotoEnd ) { + var index = 0, + + // If we are going to the end, we want to run all the tweens + // otherwise we skip this part + length = gotoEnd ? animation.tweens.length : 0; + if ( stopped ) { + return this; + } + stopped = true; + for ( ; index < length; index++ ) { + animation.tweens[ index ].run( 1 ); + } + + // Resolve when we played the last frame; otherwise, reject + if ( gotoEnd ) { + deferred.notifyWith( elem, [ animation, 1, 0 ] ); + deferred.resolveWith( elem, [ animation, gotoEnd ] ); + } else { + deferred.rejectWith( elem, [ animation, gotoEnd ] ); + } + return this; + } + } ), + props = animation.props; + + propFilter( props, animation.opts.specialEasing ); + + for ( ; index < length; index++ ) { + result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); + if ( result ) { + if ( jQuery.isFunction( result.stop ) ) { + jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = + jQuery.proxy( result.stop, result ); + } + return result; + } + } + + jQuery.map( props, createTween, animation ); + + if ( jQuery.isFunction( animation.opts.start ) ) { + animation.opts.start.call( elem, animation ); + } + + // Attach callbacks from options + animation + .progress( animation.opts.progress ) + .done( animation.opts.done, animation.opts.complete ) + .fail( animation.opts.fail ) + .always( animation.opts.always ); + + jQuery.fx.timer( + jQuery.extend( tick, { + elem: elem, + anim: animation, + queue: animation.opts.queue + } ) + ); + + return animation; +} + +jQuery.Animation = jQuery.extend( Animation, { + + tweeners: { + "*": [ function( prop, value ) { + var tween = this.createTween( prop, value ); + adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween ); + return tween; + } ] + }, + + tweener: function( props, callback ) { + if ( jQuery.isFunction( props ) ) { + callback = props; + props = [ "*" ]; + } else { + props = props.match( rnothtmlwhite ); + } + + var prop, + index = 0, + length = props.length; + + for ( ; index < length; index++ ) { + prop = props[ index ]; + Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || []; + Animation.tweeners[ prop ].unshift( callback ); + } + }, + + prefilters: [ defaultPrefilter ], + + prefilter: function( callback, prepend ) { + if ( prepend ) { + Animation.prefilters.unshift( callback ); + } else { + Animation.prefilters.push( callback ); + } + } +} ); + +jQuery.speed = function( speed, easing, fn ) { + var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { + complete: fn || !fn && easing || + jQuery.isFunction( speed ) && speed, + duration: speed, + easing: fn && easing || easing && !jQuery.isFunction( easing ) && easing + }; + + // Go to the end state if fx are off + if ( jQuery.fx.off ) { + opt.duration = 0; + + } else { + if ( typeof opt.duration !== "number" ) { + if ( opt.duration in jQuery.fx.speeds ) { + opt.duration = jQuery.fx.speeds[ opt.duration ]; + + } else { + opt.duration = jQuery.fx.speeds._default; + } + } + } + + // Normalize opt.queue - true/undefined/null -> "fx" + if ( opt.queue == null || opt.queue === true ) { + opt.queue = "fx"; + } + + // Queueing + opt.old = opt.complete; + + opt.complete = function() { + if ( jQuery.isFunction( opt.old ) ) { + opt.old.call( this ); + } + + if ( opt.queue ) { + jQuery.dequeue( this, opt.queue ); + } + }; + + return opt; +}; + +jQuery.fn.extend( { + fadeTo: function( speed, to, easing, callback ) { + + // Show any hidden elements after setting opacity to 0 + return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show() + + // Animate to the value specified + .end().animate( { opacity: to }, speed, easing, callback ); + }, + animate: function( prop, speed, easing, callback ) { + var empty = jQuery.isEmptyObject( prop ), + optall = jQuery.speed( speed, easing, callback ), + doAnimation = function() { + + // Operate on a copy of prop so per-property easing won't be lost + var anim = Animation( this, jQuery.extend( {}, prop ), optall ); + + // Empty animations, or finishing resolves immediately + if ( empty || dataPriv.get( this, "finish" ) ) { + anim.stop( true ); + } + }; + doAnimation.finish = doAnimation; + + return empty || optall.queue === false ? + this.each( doAnimation ) : + this.queue( optall.queue, doAnimation ); + }, + stop: function( type, clearQueue, gotoEnd ) { + var stopQueue = function( hooks ) { + var stop = hooks.stop; + delete hooks.stop; + stop( gotoEnd ); + }; + + if ( typeof type !== "string" ) { + gotoEnd = clearQueue; + clearQueue = type; + type = undefined; + } + if ( clearQueue && type !== false ) { + this.queue( type || "fx", [] ); + } + + return this.each( function() { + var dequeue = true, + index = type != null && type + "queueHooks", + timers = jQuery.timers, + data = dataPriv.get( this ); + + if ( index ) { + if ( data[ index ] && data[ index ].stop ) { + stopQueue( data[ index ] ); + } + } else { + for ( index in data ) { + if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { + stopQueue( data[ index ] ); + } + } + } + + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && + ( type == null || timers[ index ].queue === type ) ) { + + timers[ index ].anim.stop( gotoEnd ); + dequeue = false; + timers.splice( index, 1 ); + } + } + + // Start the next in the queue if the last step wasn't forced. + // Timers currently will call their complete callbacks, which + // will dequeue but only if they were gotoEnd. + if ( dequeue || !gotoEnd ) { + jQuery.dequeue( this, type ); + } + } ); + }, + finish: function( type ) { + if ( type !== false ) { + type = type || "fx"; + } + return this.each( function() { + var index, + data = dataPriv.get( this ), + queue = data[ type + "queue" ], + hooks = data[ type + "queueHooks" ], + timers = jQuery.timers, + length = queue ? queue.length : 0; + + // Enable finishing flag on private data + data.finish = true; + + // Empty the queue first + jQuery.queue( this, type, [] ); + + if ( hooks && hooks.stop ) { + hooks.stop.call( this, true ); + } + + // Look for any active animations, and finish them + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && timers[ index ].queue === type ) { + timers[ index ].anim.stop( true ); + timers.splice( index, 1 ); + } + } + + // Look for any animations in the old queue and finish them + for ( index = 0; index < length; index++ ) { + if ( queue[ index ] && queue[ index ].finish ) { + queue[ index ].finish.call( this ); + } + } + + // Turn off finishing flag + delete data.finish; + } ); + } +} ); + +jQuery.each( [ "toggle", "show", "hide" ], function( i, name ) { + var cssFn = jQuery.fn[ name ]; + jQuery.fn[ name ] = function( speed, easing, callback ) { + return speed == null || typeof speed === "boolean" ? + cssFn.apply( this, arguments ) : + this.animate( genFx( name, true ), speed, easing, callback ); + }; +} ); + +// Generate shortcuts for custom animations +jQuery.each( { + slideDown: genFx( "show" ), + slideUp: genFx( "hide" ), + slideToggle: genFx( "toggle" ), + fadeIn: { opacity: "show" }, + fadeOut: { opacity: "hide" }, + fadeToggle: { opacity: "toggle" } +}, function( name, props ) { + jQuery.fn[ name ] = function( speed, easing, callback ) { + return this.animate( props, speed, easing, callback ); + }; +} ); + +jQuery.timers = []; +jQuery.fx.tick = function() { + var timer, + i = 0, + timers = jQuery.timers; + + fxNow = jQuery.now(); + + for ( ; i < timers.length; i++ ) { + timer = timers[ i ]; + + // Run the timer and safely remove it when done (allowing for external removal) + if ( !timer() && timers[ i ] === timer ) { + timers.splice( i--, 1 ); + } + } + + if ( !timers.length ) { + jQuery.fx.stop(); + } + fxNow = undefined; +}; + +jQuery.fx.timer = function( timer ) { + jQuery.timers.push( timer ); + jQuery.fx.start(); +}; + +jQuery.fx.interval = 13; +jQuery.fx.start = function() { + if ( inProgress ) { + return; + } + + inProgress = true; + schedule(); +}; + +jQuery.fx.stop = function() { + inProgress = null; +}; + +jQuery.fx.speeds = { + slow: 600, + fast: 200, + + // Default speed + _default: 400 +}; + + +// Based off of the plugin by Clint Helfers, with permission. +// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/ +jQuery.fn.delay = function( time, type ) { + time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; + type = type || "fx"; + + return this.queue( type, function( next, hooks ) { + var timeout = window.setTimeout( next, time ); + hooks.stop = function() { + window.clearTimeout( timeout ); + }; + } ); +}; + + +( function() { + var input = document.createElement( "input" ), + select = document.createElement( "select" ), + opt = select.appendChild( document.createElement( "option" ) ); + + input.type = "checkbox"; + + // Support: Android <=4.3 only + // Default value for a checkbox should be "on" + support.checkOn = input.value !== ""; + + // Support: IE <=11 only + // Must access selectedIndex to make default options select + support.optSelected = opt.selected; + + // Support: IE <=11 only + // An input loses its value after becoming a radio + input = document.createElement( "input" ); + input.value = "t"; + input.type = "radio"; + support.radioValue = input.value === "t"; +} )(); + + +var boolHook, + attrHandle = jQuery.expr.attrHandle; + +jQuery.fn.extend( { + attr: function( name, value ) { + return access( this, jQuery.attr, name, value, arguments.length > 1 ); + }, + + removeAttr: function( name ) { + return this.each( function() { + jQuery.removeAttr( this, name ); + } ); + } +} ); + +jQuery.extend( { + attr: function( elem, name, value ) { + var ret, hooks, + nType = elem.nodeType; + + // Don't get/set attributes on text, comment and attribute nodes + if ( nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + // Fallback to prop when attributes are not supported + if ( typeof elem.getAttribute === "undefined" ) { + return jQuery.prop( elem, name, value ); + } + + // Attribute hooks are determined by the lowercase version + // Grab necessary hook if one is defined + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + hooks = jQuery.attrHooks[ name.toLowerCase() ] || + ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined ); + } + + if ( value !== undefined ) { + if ( value === null ) { + jQuery.removeAttr( elem, name ); + return; + } + + if ( hooks && "set" in hooks && + ( ret = hooks.set( elem, value, name ) ) !== undefined ) { + return ret; + } + + elem.setAttribute( name, value + "" ); + return value; + } + + if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { + return ret; + } + + ret = jQuery.find.attr( elem, name ); + + // Non-existent attributes return null, we normalize to undefined + return ret == null ? undefined : ret; + }, + + attrHooks: { + type: { + set: function( elem, value ) { + if ( !support.radioValue && value === "radio" && + nodeName( elem, "input" ) ) { + var val = elem.value; + elem.setAttribute( "type", value ); + if ( val ) { + elem.value = val; + } + return value; + } + } + } + }, + + removeAttr: function( elem, value ) { + var name, + i = 0, + + // Attribute names can contain non-HTML whitespace characters + // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2 + attrNames = value && value.match( rnothtmlwhite ); + + if ( attrNames && elem.nodeType === 1 ) { + while ( ( name = attrNames[ i++ ] ) ) { + elem.removeAttribute( name ); + } + } + } +} ); + +// Hooks for boolean attributes +boolHook = { + set: function( elem, value, name ) { + if ( value === false ) { + + // Remove boolean attributes when set to false + jQuery.removeAttr( elem, name ); + } else { + elem.setAttribute( name, name ); + } + return name; + } +}; + +jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( i, name ) { + var getter = attrHandle[ name ] || jQuery.find.attr; + + attrHandle[ name ] = function( elem, name, isXML ) { + var ret, handle, + lowercaseName = name.toLowerCase(); + + if ( !isXML ) { + + // Avoid an infinite loop by temporarily removing this function from the getter + handle = attrHandle[ lowercaseName ]; + attrHandle[ lowercaseName ] = ret; + ret = getter( elem, name, isXML ) != null ? + lowercaseName : + null; + attrHandle[ lowercaseName ] = handle; + } + return ret; + }; +} ); + + + + +var rfocusable = /^(?:input|select|textarea|button)$/i, + rclickable = /^(?:a|area)$/i; + +jQuery.fn.extend( { + prop: function( name, value ) { + return access( this, jQuery.prop, name, value, arguments.length > 1 ); + }, + + removeProp: function( name ) { + return this.each( function() { + delete this[ jQuery.propFix[ name ] || name ]; + } ); + } +} ); + +jQuery.extend( { + prop: function( elem, name, value ) { + var ret, hooks, + nType = elem.nodeType; + + // Don't get/set properties on text, comment and attribute nodes + if ( nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + + // Fix name and attach hooks + name = jQuery.propFix[ name ] || name; + hooks = jQuery.propHooks[ name ]; + } + + if ( value !== undefined ) { + if ( hooks && "set" in hooks && + ( ret = hooks.set( elem, value, name ) ) !== undefined ) { + return ret; + } + + return ( elem[ name ] = value ); + } + + if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { + return ret; + } + + return elem[ name ]; + }, + + propHooks: { + tabIndex: { + get: function( elem ) { + + // Support: IE <=9 - 11 only + // elem.tabIndex doesn't always return the + // correct value when it hasn't been explicitly set + // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/ + // Use proper attribute retrieval(#12072) + var tabindex = jQuery.find.attr( elem, "tabindex" ); + + if ( tabindex ) { + return parseInt( tabindex, 10 ); + } + + if ( + rfocusable.test( elem.nodeName ) || + rclickable.test( elem.nodeName ) && + elem.href + ) { + return 0; + } + + return -1; + } + } + }, + + propFix: { + "for": "htmlFor", + "class": "className" + } +} ); + +// Support: IE <=11 only +// Accessing the selectedIndex property +// forces the browser to respect setting selected +// on the option +// The getter ensures a default option is selected +// when in an optgroup +// eslint rule "no-unused-expressions" is disabled for this code +// since it considers such accessions noop +if ( !support.optSelected ) { + jQuery.propHooks.selected = { + get: function( elem ) { + + /* eslint no-unused-expressions: "off" */ + + var parent = elem.parentNode; + if ( parent && parent.parentNode ) { + parent.parentNode.selectedIndex; + } + return null; + }, + set: function( elem ) { + + /* eslint no-unused-expressions: "off" */ + + var parent = elem.parentNode; + if ( parent ) { + parent.selectedIndex; + + if ( parent.parentNode ) { + parent.parentNode.selectedIndex; + } + } + } + }; +} + +jQuery.each( [ + "tabIndex", + "readOnly", + "maxLength", + "cellSpacing", + "cellPadding", + "rowSpan", + "colSpan", + "useMap", + "frameBorder", + "contentEditable" +], function() { + jQuery.propFix[ this.toLowerCase() ] = this; +} ); + + + + + // Strip and collapse whitespace according to HTML spec + // https://html.spec.whatwg.org/multipage/infrastructure.html#strip-and-collapse-whitespace + function stripAndCollapse( value ) { + var tokens = value.match( rnothtmlwhite ) || []; + return tokens.join( " " ); + } + + +function getClass( elem ) { + return elem.getAttribute && elem.getAttribute( "class" ) || ""; +} + +jQuery.fn.extend( { + addClass: function( value ) { + var classes, elem, cur, curValue, clazz, j, finalValue, + i = 0; + + if ( jQuery.isFunction( value ) ) { + return this.each( function( j ) { + jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); + } ); + } + + if ( typeof value === "string" && value ) { + classes = value.match( rnothtmlwhite ) || []; + + while ( ( elem = this[ i++ ] ) ) { + curValue = getClass( elem ); + cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); + + if ( cur ) { + j = 0; + while ( ( clazz = classes[ j++ ] ) ) { + if ( cur.indexOf( " " + clazz + " " ) < 0 ) { + cur += clazz + " "; + } + } + + // Only assign if different to avoid unneeded rendering. + finalValue = stripAndCollapse( cur ); + if ( curValue !== finalValue ) { + elem.setAttribute( "class", finalValue ); + } + } + } + } + + return this; + }, + + removeClass: function( value ) { + var classes, elem, cur, curValue, clazz, j, finalValue, + i = 0; + + if ( jQuery.isFunction( value ) ) { + return this.each( function( j ) { + jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); + } ); + } + + if ( !arguments.length ) { + return this.attr( "class", "" ); + } + + if ( typeof value === "string" && value ) { + classes = value.match( rnothtmlwhite ) || []; + + while ( ( elem = this[ i++ ] ) ) { + curValue = getClass( elem ); + + // This expression is here for better compressibility (see addClass) + cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); + + if ( cur ) { + j = 0; + while ( ( clazz = classes[ j++ ] ) ) { + + // Remove *all* instances + while ( cur.indexOf( " " + clazz + " " ) > -1 ) { + cur = cur.replace( " " + clazz + " ", " " ); + } + } + + // Only assign if different to avoid unneeded rendering. + finalValue = stripAndCollapse( cur ); + if ( curValue !== finalValue ) { + elem.setAttribute( "class", finalValue ); + } + } + } + } + + return this; + }, + + toggleClass: function( value, stateVal ) { + var type = typeof value; + + if ( typeof stateVal === "boolean" && type === "string" ) { + return stateVal ? this.addClass( value ) : this.removeClass( value ); + } + + if ( jQuery.isFunction( value ) ) { + return this.each( function( i ) { + jQuery( this ).toggleClass( + value.call( this, i, getClass( this ), stateVal ), + stateVal + ); + } ); + } + + return this.each( function() { + var className, i, self, classNames; + + if ( type === "string" ) { + + // Toggle individual class names + i = 0; + self = jQuery( this ); + classNames = value.match( rnothtmlwhite ) || []; + + while ( ( className = classNames[ i++ ] ) ) { + + // Check each className given, space separated list + if ( self.hasClass( className ) ) { + self.removeClass( className ); + } else { + self.addClass( className ); + } + } + + // Toggle whole class name + } else if ( value === undefined || type === "boolean" ) { + className = getClass( this ); + if ( className ) { + + // Store className if set + dataPriv.set( this, "__className__", className ); + } + + // If the element has a class name or if we're passed `false`, + // then remove the whole classname (if there was one, the above saved it). + // Otherwise bring back whatever was previously saved (if anything), + // falling back to the empty string if nothing was stored. + if ( this.setAttribute ) { + this.setAttribute( "class", + className || value === false ? + "" : + dataPriv.get( this, "__className__" ) || "" + ); + } + } + } ); + }, + + hasClass: function( selector ) { + var className, elem, + i = 0; + + className = " " + selector + " "; + while ( ( elem = this[ i++ ] ) ) { + if ( elem.nodeType === 1 && + ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) { + return true; + } + } + + return false; + } +} ); + + + + +var rreturn = /\r/g; + +jQuery.fn.extend( { + val: function( value ) { + var hooks, ret, isFunction, + elem = this[ 0 ]; + + if ( !arguments.length ) { + if ( elem ) { + hooks = jQuery.valHooks[ elem.type ] || + jQuery.valHooks[ elem.nodeName.toLowerCase() ]; + + if ( hooks && + "get" in hooks && + ( ret = hooks.get( elem, "value" ) ) !== undefined + ) { + return ret; + } + + ret = elem.value; + + // Handle most common string cases + if ( typeof ret === "string" ) { + return ret.replace( rreturn, "" ); + } + + // Handle cases where value is null/undef or number + return ret == null ? "" : ret; + } + + return; + } + + isFunction = jQuery.isFunction( value ); + + return this.each( function( i ) { + var val; + + if ( this.nodeType !== 1 ) { + return; + } + + if ( isFunction ) { + val = value.call( this, i, jQuery( this ).val() ); + } else { + val = value; + } + + // Treat null/undefined as ""; convert numbers to string + if ( val == null ) { + val = ""; + + } else if ( typeof val === "number" ) { + val += ""; + + } else if ( Array.isArray( val ) ) { + val = jQuery.map( val, function( value ) { + return value == null ? "" : value + ""; + } ); + } + + hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; + + // If set returns undefined, fall back to normal setting + if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) { + this.value = val; + } + } ); + } +} ); + +jQuery.extend( { + valHooks: { + option: { + get: function( elem ) { + + var val = jQuery.find.attr( elem, "value" ); + return val != null ? + val : + + // Support: IE <=10 - 11 only + // option.text throws exceptions (#14686, #14858) + // Strip and collapse whitespace + // https://html.spec.whatwg.org/#strip-and-collapse-whitespace + stripAndCollapse( jQuery.text( elem ) ); + } + }, + select: { + get: function( elem ) { + var value, option, i, + options = elem.options, + index = elem.selectedIndex, + one = elem.type === "select-one", + values = one ? null : [], + max = one ? index + 1 : options.length; + + if ( index < 0 ) { + i = max; + + } else { + i = one ? index : 0; + } + + // Loop through all the selected options + for ( ; i < max; i++ ) { + option = options[ i ]; + + // Support: IE <=9 only + // IE8-9 doesn't update selected after form reset (#2551) + if ( ( option.selected || i === index ) && + + // Don't return options that are disabled or in a disabled optgroup + !option.disabled && + ( !option.parentNode.disabled || + !nodeName( option.parentNode, "optgroup" ) ) ) { + + // Get the specific value for the option + value = jQuery( option ).val(); + + // We don't need an array for one selects + if ( one ) { + return value; + } + + // Multi-Selects return an array + values.push( value ); + } + } + + return values; + }, + + set: function( elem, value ) { + var optionSet, option, + options = elem.options, + values = jQuery.makeArray( value ), + i = options.length; + + while ( i-- ) { + option = options[ i ]; + + /* eslint-disable no-cond-assign */ + + if ( option.selected = + jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1 + ) { + optionSet = true; + } + + /* eslint-enable no-cond-assign */ + } + + // Force browsers to behave consistently when non-matching value is set + if ( !optionSet ) { + elem.selectedIndex = -1; + } + return values; + } + } + } +} ); + +// Radios and checkboxes getter/setter +jQuery.each( [ "radio", "checkbox" ], function() { + jQuery.valHooks[ this ] = { + set: function( elem, value ) { + if ( Array.isArray( value ) ) { + return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 ); + } + } + }; + if ( !support.checkOn ) { + jQuery.valHooks[ this ].get = function( elem ) { + return elem.getAttribute( "value" ) === null ? "on" : elem.value; + }; + } +} ); + + + + +// Return jQuery for attributes-only inclusion + + +var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/; + +jQuery.extend( jQuery.event, { + + trigger: function( event, data, elem, onlyHandlers ) { + + var i, cur, tmp, bubbleType, ontype, handle, special, + eventPath = [ elem || document ], + type = hasOwn.call( event, "type" ) ? event.type : event, + namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; + + cur = tmp = elem = elem || document; + + // Don't do events on text and comment nodes + if ( elem.nodeType === 3 || elem.nodeType === 8 ) { + return; + } + + // focus/blur morphs to focusin/out; ensure we're not firing them right now + if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { + return; + } + + if ( type.indexOf( "." ) > -1 ) { + + // Namespaced trigger; create a regexp to match event type in handle() + namespaces = type.split( "." ); + type = namespaces.shift(); + namespaces.sort(); + } + ontype = type.indexOf( ":" ) < 0 && "on" + type; + + // Caller can pass in a jQuery.Event object, Object, or just an event type string + event = event[ jQuery.expando ] ? + event : + new jQuery.Event( type, typeof event === "object" && event ); + + // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) + event.isTrigger = onlyHandlers ? 2 : 3; + event.namespace = namespaces.join( "." ); + event.rnamespace = event.namespace ? + new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) : + null; + + // Clean up the event in case it is being reused + event.result = undefined; + if ( !event.target ) { + event.target = elem; + } + + // Clone any incoming data and prepend the event, creating the handler arg list + data = data == null ? + [ event ] : + jQuery.makeArray( data, [ event ] ); + + // Allow special events to draw outside the lines + special = jQuery.event.special[ type ] || {}; + if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { + return; + } + + // Determine event propagation path in advance, per W3C events spec (#9951) + // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) + if ( !onlyHandlers && !special.noBubble && !jQuery.isWindow( elem ) ) { + + bubbleType = special.delegateType || type; + if ( !rfocusMorph.test( bubbleType + type ) ) { + cur = cur.parentNode; + } + for ( ; cur; cur = cur.parentNode ) { + eventPath.push( cur ); + tmp = cur; + } + + // Only add window if we got to document (e.g., not plain obj or detached DOM) + if ( tmp === ( elem.ownerDocument || document ) ) { + eventPath.push( tmp.defaultView || tmp.parentWindow || window ); + } + } + + // Fire handlers on the event path + i = 0; + while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { + + event.type = i > 1 ? + bubbleType : + special.bindType || type; + + // jQuery handler + handle = ( dataPriv.get( cur, "events" ) || {} )[ event.type ] && + dataPriv.get( cur, "handle" ); + if ( handle ) { + handle.apply( cur, data ); + } + + // Native handler + handle = ontype && cur[ ontype ]; + if ( handle && handle.apply && acceptData( cur ) ) { + event.result = handle.apply( cur, data ); + if ( event.result === false ) { + event.preventDefault(); + } + } + } + event.type = type; + + // If nobody prevented the default action, do it now + if ( !onlyHandlers && !event.isDefaultPrevented() ) { + + if ( ( !special._default || + special._default.apply( eventPath.pop(), data ) === false ) && + acceptData( elem ) ) { + + // Call a native DOM method on the target with the same name as the event. + // Don't do default actions on window, that's where global variables be (#6170) + if ( ontype && jQuery.isFunction( elem[ type ] ) && !jQuery.isWindow( elem ) ) { + + // Don't re-trigger an onFOO event when we call its FOO() method + tmp = elem[ ontype ]; + + if ( tmp ) { + elem[ ontype ] = null; + } + + // Prevent re-triggering of the same event, since we already bubbled it above + jQuery.event.triggered = type; + elem[ type ](); + jQuery.event.triggered = undefined; + + if ( tmp ) { + elem[ ontype ] = tmp; + } + } + } + } + + return event.result; + }, + + // Piggyback on a donor event to simulate a different one + // Used only for `focus(in | out)` events + simulate: function( type, elem, event ) { + var e = jQuery.extend( + new jQuery.Event(), + event, + { + type: type, + isSimulated: true + } + ); + + jQuery.event.trigger( e, null, elem ); + } + +} ); + +jQuery.fn.extend( { + + trigger: function( type, data ) { + return this.each( function() { + jQuery.event.trigger( type, data, this ); + } ); + }, + triggerHandler: function( type, data ) { + var elem = this[ 0 ]; + if ( elem ) { + return jQuery.event.trigger( type, data, elem, true ); + } + } +} ); + + +jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " + + "mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " + + "change select submit keydown keypress keyup contextmenu" ).split( " " ), + function( i, name ) { + + // Handle event binding + jQuery.fn[ name ] = function( data, fn ) { + return arguments.length > 0 ? + this.on( name, null, data, fn ) : + this.trigger( name ); + }; +} ); + +jQuery.fn.extend( { + hover: function( fnOver, fnOut ) { + return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver ); + } +} ); + + + + +support.focusin = "onfocusin" in window; + + +// Support: Firefox <=44 +// Firefox doesn't have focus(in | out) events +// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 +// +// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1 +// focus(in | out) events fire after focus & blur events, +// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order +// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857 +if ( !support.focusin ) { + jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) { + + // Attach a single capturing handler on the document while someone wants focusin/focusout + var handler = function( event ) { + jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) ); + }; + + jQuery.event.special[ fix ] = { + setup: function() { + var doc = this.ownerDocument || this, + attaches = dataPriv.access( doc, fix ); + + if ( !attaches ) { + doc.addEventListener( orig, handler, true ); + } + dataPriv.access( doc, fix, ( attaches || 0 ) + 1 ); + }, + teardown: function() { + var doc = this.ownerDocument || this, + attaches = dataPriv.access( doc, fix ) - 1; + + if ( !attaches ) { + doc.removeEventListener( orig, handler, true ); + dataPriv.remove( doc, fix ); + + } else { + dataPriv.access( doc, fix, attaches ); + } + } + }; + } ); +} +var location = window.location; + +var nonce = jQuery.now(); + +var rquery = ( /\?/ ); + + + +// Cross-browser xml parsing +jQuery.parseXML = function( data ) { + var xml; + if ( !data || typeof data !== "string" ) { + return null; + } + + // Support: IE 9 - 11 only + // IE throws on parseFromString with invalid input. + try { + xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" ); + } catch ( e ) { + xml = undefined; + } + + if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) { + jQuery.error( "Invalid XML: " + data ); + } + return xml; +}; + + +var + rbracket = /\[\]$/, + rCRLF = /\r?\n/g, + rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, + rsubmittable = /^(?:input|select|textarea|keygen)/i; + +function buildParams( prefix, obj, traditional, add ) { + var name; + + if ( Array.isArray( obj ) ) { + + // Serialize array item. + jQuery.each( obj, function( i, v ) { + if ( traditional || rbracket.test( prefix ) ) { + + // Treat each array item as a scalar. + add( prefix, v ); + + } else { + + // Item is non-scalar (array or object), encode its numeric index. + buildParams( + prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]", + v, + traditional, + add + ); + } + } ); + + } else if ( !traditional && jQuery.type( obj ) === "object" ) { + + // Serialize object item. + for ( name in obj ) { + buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); + } + + } else { + + // Serialize scalar item. + add( prefix, obj ); + } +} + +// Serialize an array of form elements or a set of +// key/values into a query string +jQuery.param = function( a, traditional ) { + var prefix, + s = [], + add = function( key, valueOrFunction ) { + + // If value is a function, invoke it and use its return value + var value = jQuery.isFunction( valueOrFunction ) ? + valueOrFunction() : + valueOrFunction; + + s[ s.length ] = encodeURIComponent( key ) + "=" + + encodeURIComponent( value == null ? "" : value ); + }; + + // If an array was passed in, assume that it is an array of form elements. + if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { + + // Serialize the form elements + jQuery.each( a, function() { + add( this.name, this.value ); + } ); + + } else { + + // If traditional, encode the "old" way (the way 1.3.2 or older + // did it), otherwise encode params recursively. + for ( prefix in a ) { + buildParams( prefix, a[ prefix ], traditional, add ); + } + } + + // Return the resulting serialization + return s.join( "&" ); +}; + +jQuery.fn.extend( { + serialize: function() { + return jQuery.param( this.serializeArray() ); + }, + serializeArray: function() { + return this.map( function() { + + // Can add propHook for "elements" to filter or add form elements + var elements = jQuery.prop( this, "elements" ); + return elements ? jQuery.makeArray( elements ) : this; + } ) + .filter( function() { + var type = this.type; + + // Use .is( ":disabled" ) so that fieldset[disabled] works + return this.name && !jQuery( this ).is( ":disabled" ) && + rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && + ( this.checked || !rcheckableType.test( type ) ); + } ) + .map( function( i, elem ) { + var val = jQuery( this ).val(); + + if ( val == null ) { + return null; + } + + if ( Array.isArray( val ) ) { + return jQuery.map( val, function( val ) { + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + } ); + } + + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + } ).get(); + } +} ); + + +var + r20 = /%20/g, + rhash = /#.*$/, + rantiCache = /([?&])_=[^&]*/, + rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, + + // #7653, #8125, #8152: local protocol detection + rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, + rnoContent = /^(?:GET|HEAD)$/, + rprotocol = /^\/\//, + + /* Prefilters + * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) + * 2) These are called: + * - BEFORE asking for a transport + * - AFTER param serialization (s.data is a string if s.processData is true) + * 3) key is the dataType + * 4) the catchall symbol "*" can be used + * 5) execution will start with transport dataType and THEN continue down to "*" if needed + */ + prefilters = {}, + + /* Transports bindings + * 1) key is the dataType + * 2) the catchall symbol "*" can be used + * 3) selection will start with transport dataType and THEN go to "*" if needed + */ + transports = {}, + + // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression + allTypes = "*/".concat( "*" ), + + // Anchor tag for parsing the document origin + originAnchor = document.createElement( "a" ); + originAnchor.href = location.href; + +// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport +function addToPrefiltersOrTransports( structure ) { + + // dataTypeExpression is optional and defaults to "*" + return function( dataTypeExpression, func ) { + + if ( typeof dataTypeExpression !== "string" ) { + func = dataTypeExpression; + dataTypeExpression = "*"; + } + + var dataType, + i = 0, + dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; + + if ( jQuery.isFunction( func ) ) { + + // For each dataType in the dataTypeExpression + while ( ( dataType = dataTypes[ i++ ] ) ) { + + // Prepend if requested + if ( dataType[ 0 ] === "+" ) { + dataType = dataType.slice( 1 ) || "*"; + ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func ); + + // Otherwise append + } else { + ( structure[ dataType ] = structure[ dataType ] || [] ).push( func ); + } + } + } + }; +} + +// Base inspection function for prefilters and transports +function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { + + var inspected = {}, + seekingTransport = ( structure === transports ); + + function inspect( dataType ) { + var selected; + inspected[ dataType ] = true; + jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { + var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); + if ( typeof dataTypeOrTransport === "string" && + !seekingTransport && !inspected[ dataTypeOrTransport ] ) { + + options.dataTypes.unshift( dataTypeOrTransport ); + inspect( dataTypeOrTransport ); + return false; + } else if ( seekingTransport ) { + return !( selected = dataTypeOrTransport ); + } + } ); + return selected; + } + + return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); +} + +// A special extend for ajax options +// that takes "flat" options (not to be deep extended) +// Fixes #9887 +function ajaxExtend( target, src ) { + var key, deep, + flatOptions = jQuery.ajaxSettings.flatOptions || {}; + + for ( key in src ) { + if ( src[ key ] !== undefined ) { + ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ]; + } + } + if ( deep ) { + jQuery.extend( true, target, deep ); + } + + return target; +} + +/* Handles responses to an ajax request: + * - finds the right dataType (mediates between content-type and expected dataType) + * - returns the corresponding response + */ +function ajaxHandleResponses( s, jqXHR, responses ) { + + var ct, type, finalDataType, firstDataType, + contents = s.contents, + dataTypes = s.dataTypes; + + // Remove auto dataType and get content-type in the process + while ( dataTypes[ 0 ] === "*" ) { + dataTypes.shift(); + if ( ct === undefined ) { + ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" ); + } + } + + // Check if we're dealing with a known content-type + if ( ct ) { + for ( type in contents ) { + if ( contents[ type ] && contents[ type ].test( ct ) ) { + dataTypes.unshift( type ); + break; + } + } + } + + // Check to see if we have a response for the expected dataType + if ( dataTypes[ 0 ] in responses ) { + finalDataType = dataTypes[ 0 ]; + } else { + + // Try convertible dataTypes + for ( type in responses ) { + if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) { + finalDataType = type; + break; + } + if ( !firstDataType ) { + firstDataType = type; + } + } + + // Or just use first one + finalDataType = finalDataType || firstDataType; + } + + // If we found a dataType + // We add the dataType to the list if needed + // and return the corresponding response + if ( finalDataType ) { + if ( finalDataType !== dataTypes[ 0 ] ) { + dataTypes.unshift( finalDataType ); + } + return responses[ finalDataType ]; + } +} + +/* Chain conversions given the request and the original response + * Also sets the responseXXX fields on the jqXHR instance + */ +function ajaxConvert( s, response, jqXHR, isSuccess ) { + var conv2, current, conv, tmp, prev, + converters = {}, + + // Work with a copy of dataTypes in case we need to modify it for conversion + dataTypes = s.dataTypes.slice(); + + // Create converters map with lowercased keys + if ( dataTypes[ 1 ] ) { + for ( conv in s.converters ) { + converters[ conv.toLowerCase() ] = s.converters[ conv ]; + } + } + + current = dataTypes.shift(); + + // Convert to each sequential dataType + while ( current ) { + + if ( s.responseFields[ current ] ) { + jqXHR[ s.responseFields[ current ] ] = response; + } + + // Apply the dataFilter if provided + if ( !prev && isSuccess && s.dataFilter ) { + response = s.dataFilter( response, s.dataType ); + } + + prev = current; + current = dataTypes.shift(); + + if ( current ) { + + // There's only work to do if current dataType is non-auto + if ( current === "*" ) { + + current = prev; + + // Convert response if prev dataType is non-auto and differs from current + } else if ( prev !== "*" && prev !== current ) { + + // Seek a direct converter + conv = converters[ prev + " " + current ] || converters[ "* " + current ]; + + // If none found, seek a pair + if ( !conv ) { + for ( conv2 in converters ) { + + // If conv2 outputs current + tmp = conv2.split( " " ); + if ( tmp[ 1 ] === current ) { + + // If prev can be converted to accepted input + conv = converters[ prev + " " + tmp[ 0 ] ] || + converters[ "* " + tmp[ 0 ] ]; + if ( conv ) { + + // Condense equivalence converters + if ( conv === true ) { + conv = converters[ conv2 ]; + + // Otherwise, insert the intermediate dataType + } else if ( converters[ conv2 ] !== true ) { + current = tmp[ 0 ]; + dataTypes.unshift( tmp[ 1 ] ); + } + break; + } + } + } + } + + // Apply converter (if not an equivalence) + if ( conv !== true ) { + + // Unless errors are allowed to bubble, catch and return them + if ( conv && s.throws ) { + response = conv( response ); + } else { + try { + response = conv( response ); + } catch ( e ) { + return { + state: "parsererror", + error: conv ? e : "No conversion from " + prev + " to " + current + }; + } + } + } + } + } + } + + return { state: "success", data: response }; +} + +jQuery.extend( { + + // Counter for holding the number of active queries + active: 0, + + // Last-Modified header cache for next request + lastModified: {}, + etag: {}, + + ajaxSettings: { + url: location.href, + type: "GET", + isLocal: rlocalProtocol.test( location.protocol ), + global: true, + processData: true, + async: true, + contentType: "application/x-www-form-urlencoded; charset=UTF-8", + + /* + timeout: 0, + data: null, + dataType: null, + username: null, + password: null, + cache: null, + throws: false, + traditional: false, + headers: {}, + */ + + accepts: { + "*": allTypes, + text: "text/plain", + html: "text/html", + xml: "application/xml, text/xml", + json: "application/json, text/javascript" + }, + + contents: { + xml: /\bxml\b/, + html: /\bhtml/, + json: /\bjson\b/ + }, + + responseFields: { + xml: "responseXML", + text: "responseText", + json: "responseJSON" + }, + + // Data converters + // Keys separate source (or catchall "*") and destination types with a single space + converters: { + + // Convert anything to text + "* text": String, + + // Text to html (true = no transformation) + "text html": true, + + // Evaluate text as a json expression + "text json": JSON.parse, + + // Parse text as xml + "text xml": jQuery.parseXML + }, + + // For options that shouldn't be deep extended: + // you can add your own custom options here if + // and when you create one that shouldn't be + // deep extended (see ajaxExtend) + flatOptions: { + url: true, + context: true + } + }, + + // Creates a full fledged settings object into target + // with both ajaxSettings and settings fields. + // If target is omitted, writes into ajaxSettings. + ajaxSetup: function( target, settings ) { + return settings ? + + // Building a settings object + ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : + + // Extending ajaxSettings + ajaxExtend( jQuery.ajaxSettings, target ); + }, + + ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), + ajaxTransport: addToPrefiltersOrTransports( transports ), + + // Main method + ajax: function( url, options ) { + + // If url is an object, simulate pre-1.5 signature + if ( typeof url === "object" ) { + options = url; + url = undefined; + } + + // Force options to be an object + options = options || {}; + + var transport, + + // URL without anti-cache param + cacheURL, + + // Response headers + responseHeadersString, + responseHeaders, + + // timeout handle + timeoutTimer, + + // Url cleanup var + urlAnchor, + + // Request state (becomes false upon send and true upon completion) + completed, + + // To know if global events are to be dispatched + fireGlobals, + + // Loop variable + i, + + // uncached part of the url + uncached, + + // Create the final options object + s = jQuery.ajaxSetup( {}, options ), + + // Callbacks context + callbackContext = s.context || s, + + // Context for global events is callbackContext if it is a DOM node or jQuery collection + globalEventContext = s.context && + ( callbackContext.nodeType || callbackContext.jquery ) ? + jQuery( callbackContext ) : + jQuery.event, + + // Deferreds + deferred = jQuery.Deferred(), + completeDeferred = jQuery.Callbacks( "once memory" ), + + // Status-dependent callbacks + statusCode = s.statusCode || {}, + + // Headers (they are sent all at once) + requestHeaders = {}, + requestHeadersNames = {}, + + // Default abort message + strAbort = "canceled", + + // Fake xhr + jqXHR = { + readyState: 0, + + // Builds headers hashtable if needed + getResponseHeader: function( key ) { + var match; + if ( completed ) { + if ( !responseHeaders ) { + responseHeaders = {}; + while ( ( match = rheaders.exec( responseHeadersString ) ) ) { + responseHeaders[ match[ 1 ].toLowerCase() ] = match[ 2 ]; + } + } + match = responseHeaders[ key.toLowerCase() ]; + } + return match == null ? null : match; + }, + + // Raw string + getAllResponseHeaders: function() { + return completed ? responseHeadersString : null; + }, + + // Caches the header + setRequestHeader: function( name, value ) { + if ( completed == null ) { + name = requestHeadersNames[ name.toLowerCase() ] = + requestHeadersNames[ name.toLowerCase() ] || name; + requestHeaders[ name ] = value; + } + return this; + }, + + // Overrides response content-type header + overrideMimeType: function( type ) { + if ( completed == null ) { + s.mimeType = type; + } + return this; + }, + + // Status-dependent callbacks + statusCode: function( map ) { + var code; + if ( map ) { + if ( completed ) { + + // Execute the appropriate callbacks + jqXHR.always( map[ jqXHR.status ] ); + } else { + + // Lazy-add the new callbacks in a way that preserves old ones + for ( code in map ) { + statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; + } + } + } + return this; + }, + + // Cancel the request + abort: function( statusText ) { + var finalText = statusText || strAbort; + if ( transport ) { + transport.abort( finalText ); + } + done( 0, finalText ); + return this; + } + }; + + // Attach deferreds + deferred.promise( jqXHR ); + + // Add protocol if not provided (prefilters might expect it) + // Handle falsy url in the settings object (#10093: consistency with old signature) + // We also use the url parameter if available + s.url = ( ( url || s.url || location.href ) + "" ) + .replace( rprotocol, location.protocol + "//" ); + + // Alias method option to type as per ticket #12004 + s.type = options.method || options.type || s.method || s.type; + + // Extract dataTypes list + s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ]; + + // A cross-domain request is in order when the origin doesn't match the current origin. + if ( s.crossDomain == null ) { + urlAnchor = document.createElement( "a" ); + + // Support: IE <=8 - 11, Edge 12 - 13 + // IE throws exception on accessing the href property if url is malformed, + // e.g. http://example.com:80x/ + try { + urlAnchor.href = s.url; + + // Support: IE <=8 - 11 only + // Anchor's host property isn't correctly set when s.url is relative + urlAnchor.href = urlAnchor.href; + s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !== + urlAnchor.protocol + "//" + urlAnchor.host; + } catch ( e ) { + + // If there is an error parsing the URL, assume it is crossDomain, + // it can be rejected by the transport if it is invalid + s.crossDomain = true; + } + } + + // Convert data if not already a string + if ( s.data && s.processData && typeof s.data !== "string" ) { + s.data = jQuery.param( s.data, s.traditional ); + } + + // Apply prefilters + inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); + + // If request was aborted inside a prefilter, stop there + if ( completed ) { + return jqXHR; + } + + // We can fire global events as of now if asked to + // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118) + fireGlobals = jQuery.event && s.global; + + // Watch for a new set of requests + if ( fireGlobals && jQuery.active++ === 0 ) { + jQuery.event.trigger( "ajaxStart" ); + } + + // Uppercase the type + s.type = s.type.toUpperCase(); + + // Determine if request has content + s.hasContent = !rnoContent.test( s.type ); + + // Save the URL in case we're toying with the If-Modified-Since + // and/or If-None-Match header later on + // Remove hash to simplify url manipulation + cacheURL = s.url.replace( rhash, "" ); + + // More options handling for requests with no content + if ( !s.hasContent ) { + + // Remember the hash so we can put it back + uncached = s.url.slice( cacheURL.length ); + + // If data is available, append data to url + if ( s.data ) { + cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; + + // #9682: remove data so that it's not used in an eventual retry + delete s.data; + } + + // Add or update anti-cache param if needed + if ( s.cache === false ) { + cacheURL = cacheURL.replace( rantiCache, "$1" ); + uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce++ ) + uncached; + } + + // Put hash and anti-cache on the URL that will be requested (gh-1732) + s.url = cacheURL + uncached; + + // Change '%20' to '+' if this is encoded form body content (gh-2658) + } else if ( s.data && s.processData && + ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) { + s.data = s.data.replace( r20, "+" ); + } + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + if ( jQuery.lastModified[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); + } + if ( jQuery.etag[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); + } + } + + // Set the correct header, if data is being sent + if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { + jqXHR.setRequestHeader( "Content-Type", s.contentType ); + } + + // Set the Accepts header for the server, depending on the dataType + jqXHR.setRequestHeader( + "Accept", + s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ? + s.accepts[ s.dataTypes[ 0 ] ] + + ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : + s.accepts[ "*" ] + ); + + // Check for headers option + for ( i in s.headers ) { + jqXHR.setRequestHeader( i, s.headers[ i ] ); + } + + // Allow custom headers/mimetypes and early abort + if ( s.beforeSend && + ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) { + + // Abort if not done already and return + return jqXHR.abort(); + } + + // Aborting is no longer a cancellation + strAbort = "abort"; + + // Install callbacks on deferreds + completeDeferred.add( s.complete ); + jqXHR.done( s.success ); + jqXHR.fail( s.error ); + + // Get transport + transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); + + // If no transport, we auto-abort + if ( !transport ) { + done( -1, "No Transport" ); + } else { + jqXHR.readyState = 1; + + // Send global event + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); + } + + // If request was aborted inside ajaxSend, stop there + if ( completed ) { + return jqXHR; + } + + // Timeout + if ( s.async && s.timeout > 0 ) { + timeoutTimer = window.setTimeout( function() { + jqXHR.abort( "timeout" ); + }, s.timeout ); + } + + try { + completed = false; + transport.send( requestHeaders, done ); + } catch ( e ) { + + // Rethrow post-completion exceptions + if ( completed ) { + throw e; + } + + // Propagate others as results + done( -1, e ); + } + } + + // Callback for when everything is done + function done( status, nativeStatusText, responses, headers ) { + var isSuccess, success, error, response, modified, + statusText = nativeStatusText; + + // Ignore repeat invocations + if ( completed ) { + return; + } + + completed = true; + + // Clear timeout if it exists + if ( timeoutTimer ) { + window.clearTimeout( timeoutTimer ); + } + + // Dereference transport for early garbage collection + // (no matter how long the jqXHR object will be used) + transport = undefined; + + // Cache response headers + responseHeadersString = headers || ""; + + // Set readyState + jqXHR.readyState = status > 0 ? 4 : 0; + + // Determine if successful + isSuccess = status >= 200 && status < 300 || status === 304; + + // Get response data + if ( responses ) { + response = ajaxHandleResponses( s, jqXHR, responses ); + } + + // Convert no matter what (that way responseXXX fields are always set) + response = ajaxConvert( s, response, jqXHR, isSuccess ); + + // If successful, handle type chaining + if ( isSuccess ) { + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + modified = jqXHR.getResponseHeader( "Last-Modified" ); + if ( modified ) { + jQuery.lastModified[ cacheURL ] = modified; + } + modified = jqXHR.getResponseHeader( "etag" ); + if ( modified ) { + jQuery.etag[ cacheURL ] = modified; + } + } + + // if no content + if ( status === 204 || s.type === "HEAD" ) { + statusText = "nocontent"; + + // if not modified + } else if ( status === 304 ) { + statusText = "notmodified"; + + // If we have data, let's convert it + } else { + statusText = response.state; + success = response.data; + error = response.error; + isSuccess = !error; + } + } else { + + // Extract error from statusText and normalize for non-aborts + error = statusText; + if ( status || !statusText ) { + statusText = "error"; + if ( status < 0 ) { + status = 0; + } + } + } + + // Set data for the fake xhr object + jqXHR.status = status; + jqXHR.statusText = ( nativeStatusText || statusText ) + ""; + + // Success/Error + if ( isSuccess ) { + deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); + } else { + deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); + } + + // Status-dependent callbacks + jqXHR.statusCode( statusCode ); + statusCode = undefined; + + if ( fireGlobals ) { + globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", + [ jqXHR, s, isSuccess ? success : error ] ); + } + + // Complete + completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); + + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); + + // Handle the global AJAX counter + if ( !( --jQuery.active ) ) { + jQuery.event.trigger( "ajaxStop" ); + } + } + } + + return jqXHR; + }, + + getJSON: function( url, data, callback ) { + return jQuery.get( url, data, callback, "json" ); + }, + + getScript: function( url, callback ) { + return jQuery.get( url, undefined, callback, "script" ); + } +} ); + +jQuery.each( [ "get", "post" ], function( i, method ) { + jQuery[ method ] = function( url, data, callback, type ) { + + // Shift arguments if data argument was omitted + if ( jQuery.isFunction( data ) ) { + type = type || callback; + callback = data; + data = undefined; + } + + // The url can be an options object (which then must have .url) + return jQuery.ajax( jQuery.extend( { + url: url, + type: method, + dataType: type, + data: data, + success: callback + }, jQuery.isPlainObject( url ) && url ) ); + }; +} ); + + +jQuery._evalUrl = function( url ) { + return jQuery.ajax( { + url: url, + + // Make this explicit, since user can override this through ajaxSetup (#11264) + type: "GET", + dataType: "script", + cache: true, + async: false, + global: false, + "throws": true + } ); +}; + + +jQuery.fn.extend( { + wrapAll: function( html ) { + var wrap; + + if ( this[ 0 ] ) { + if ( jQuery.isFunction( html ) ) { + html = html.call( this[ 0 ] ); + } + + // The elements to wrap the target around + wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); + + if ( this[ 0 ].parentNode ) { + wrap.insertBefore( this[ 0 ] ); + } + + wrap.map( function() { + var elem = this; + + while ( elem.firstElementChild ) { + elem = elem.firstElementChild; + } + + return elem; + } ).append( this ); + } + + return this; + }, + + wrapInner: function( html ) { + if ( jQuery.isFunction( html ) ) { + return this.each( function( i ) { + jQuery( this ).wrapInner( html.call( this, i ) ); + } ); + } + + return this.each( function() { + var self = jQuery( this ), + contents = self.contents(); + + if ( contents.length ) { + contents.wrapAll( html ); + + } else { + self.append( html ); + } + } ); + }, + + wrap: function( html ) { + var isFunction = jQuery.isFunction( html ); + + return this.each( function( i ) { + jQuery( this ).wrapAll( isFunction ? html.call( this, i ) : html ); + } ); + }, + + unwrap: function( selector ) { + this.parent( selector ).not( "body" ).each( function() { + jQuery( this ).replaceWith( this.childNodes ); + } ); + return this; + } +} ); + + +jQuery.expr.pseudos.hidden = function( elem ) { + return !jQuery.expr.pseudos.visible( elem ); +}; +jQuery.expr.pseudos.visible = function( elem ) { + return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length ); +}; + + + + +jQuery.ajaxSettings.xhr = function() { + try { + return new window.XMLHttpRequest(); + } catch ( e ) {} +}; + +var xhrSuccessStatus = { + + // File protocol always yields status code 0, assume 200 + 0: 200, + + // Support: IE <=9 only + // #1450: sometimes IE returns 1223 when it should be 204 + 1223: 204 + }, + xhrSupported = jQuery.ajaxSettings.xhr(); + +support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported ); +support.ajax = xhrSupported = !!xhrSupported; + +jQuery.ajaxTransport( function( options ) { + var callback, errorCallback; + + // Cross domain only allowed if supported through XMLHttpRequest + if ( support.cors || xhrSupported && !options.crossDomain ) { + return { + send: function( headers, complete ) { + var i, + xhr = options.xhr(); + + xhr.open( + options.type, + options.url, + options.async, + options.username, + options.password + ); + + // Apply custom fields if provided + if ( options.xhrFields ) { + for ( i in options.xhrFields ) { + xhr[ i ] = options.xhrFields[ i ]; + } + } + + // Override mime type if needed + if ( options.mimeType && xhr.overrideMimeType ) { + xhr.overrideMimeType( options.mimeType ); + } + + // X-Requested-With header + // For cross-domain requests, seeing as conditions for a preflight are + // akin to a jigsaw puzzle, we simply never set it to be sure. + // (it can always be set on a per-request basis or even using ajaxSetup) + // For same-domain requests, won't change header if already provided. + if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) { + headers[ "X-Requested-With" ] = "XMLHttpRequest"; + } + + // Set headers + for ( i in headers ) { + xhr.setRequestHeader( i, headers[ i ] ); + } + + // Callback + callback = function( type ) { + return function() { + if ( callback ) { + callback = errorCallback = xhr.onload = + xhr.onerror = xhr.onabort = xhr.onreadystatechange = null; + + if ( type === "abort" ) { + xhr.abort(); + } else if ( type === "error" ) { + + // Support: IE <=9 only + // On a manual native abort, IE9 throws + // errors on any property access that is not readyState + if ( typeof xhr.status !== "number" ) { + complete( 0, "error" ); + } else { + complete( + + // File: protocol always yields status 0; see #8605, #14207 + xhr.status, + xhr.statusText + ); + } + } else { + complete( + xhrSuccessStatus[ xhr.status ] || xhr.status, + xhr.statusText, + + // Support: IE <=9 only + // IE9 has no XHR2 but throws on binary (trac-11426) + // For XHR2 non-text, let the caller handle it (gh-2498) + ( xhr.responseType || "text" ) !== "text" || + typeof xhr.responseText !== "string" ? + { binary: xhr.response } : + { text: xhr.responseText }, + xhr.getAllResponseHeaders() + ); + } + } + }; + }; + + // Listen to events + xhr.onload = callback(); + errorCallback = xhr.onerror = callback( "error" ); + + // Support: IE 9 only + // Use onreadystatechange to replace onabort + // to handle uncaught aborts + if ( xhr.onabort !== undefined ) { + xhr.onabort = errorCallback; + } else { + xhr.onreadystatechange = function() { + + // Check readyState before timeout as it changes + if ( xhr.readyState === 4 ) { + + // Allow onerror to be called first, + // but that will not handle a native abort + // Also, save errorCallback to a variable + // as xhr.onerror cannot be accessed + window.setTimeout( function() { + if ( callback ) { + errorCallback(); + } + } ); + } + }; + } + + // Create the abort callback + callback = callback( "abort" ); + + try { + + // Do send the request (this may raise an exception) + xhr.send( options.hasContent && options.data || null ); + } catch ( e ) { + + // #14683: Only rethrow if this hasn't been notified as an error yet + if ( callback ) { + throw e; + } + } + }, + + abort: function() { + if ( callback ) { + callback(); + } + } + }; + } +} ); + + + + +// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432) +jQuery.ajaxPrefilter( function( s ) { + if ( s.crossDomain ) { + s.contents.script = false; + } +} ); + +// Install script dataType +jQuery.ajaxSetup( { + accepts: { + script: "text/javascript, application/javascript, " + + "application/ecmascript, application/x-ecmascript" + }, + contents: { + script: /\b(?:java|ecma)script\b/ + }, + converters: { + "text script": function( text ) { + jQuery.globalEval( text ); + return text; + } + } +} ); + +// Handle cache's special case and crossDomain +jQuery.ajaxPrefilter( "script", function( s ) { + if ( s.cache === undefined ) { + s.cache = false; + } + if ( s.crossDomain ) { + s.type = "GET"; + } +} ); + +// Bind script tag hack transport +jQuery.ajaxTransport( "script", function( s ) { + + // This transport only deals with cross domain requests + if ( s.crossDomain ) { + var script, callback; + return { + send: function( _, complete ) { + script = jQuery( " + + + + + + + + + + + + + + + + +
+
+
+
+ +
+

Auto Generated Documentation

+

Version 0.8.0

+
+
+class rick.charts[source]
+

Class defining all the charting functions.

+
+
+bar_chart(xlab, **kwargs)[source]
+

Creates a bar chart

+
+
Parameters
+
    +

  • data (dataframe) – Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data

    • +

  • xlab (str) – Label for the x axis.

    • +

  • xmax (int, optional, default is the max s value) – The max value of the y axis

    • +

  • xmin (int, optional, default is 0) – The minimum value of the x axis

    • +

  • precision (int, optional, default is -1) – Decimal places in the annotations

    • +

  • xinc (int, optional) – The increment of ticks on the x axis.

    • +
+
+
Returns
+

    +

  • fig – Matplotlib fig object

    • +

  • ax – Matplotlib ax object

    • +
+

+
+
+
+ +
+
+chloro_map(df, lower, upper, title, **kwargs)[source]
+

Creates a chloropleth map

+
+
Parameters
+
    +

  • con (SQL connection object) – Connection object needed to connect to the RDS

    • +

  • df (GeoPandas Dataframe) – Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the geom column and the second has to be the data that needs to be mapped.

    • +

  • lower (int) – Lower bound for colourmap

    • +

  • upper (int) – Upper bound for the colourmap

    • +

  • title (str) – Legend label

    • +

  • subway (boolean, optional, default: False) – True to display subway on the map

    • +

  • island (boolean, optional, defailt: True) – False to grey out the Toronto island

    • +

  • cmap (str, optional, default: YlOrRd) – Matplotlib colourmap to use for the map

    • +

  • unit (str, optional) – Unit to append to the end of the legend tick

    • +

  • nbins (int, optional, defualt: 2) – Number of ticks in the colourmap

    • +
+
+
Returns
+

    +

  • fig – Matplotlib fig object

    • +

  • ax – Matplotlib ax object

    • +
+

+
+
+
+ +
+
+line_chart(ylab, xlab, **kwargs)[source]
+

Creates a line chart. x axis must be modified manually

+
+
Parameters
+
    +

  • data (array like or scalar) – Data for the line chart.

    • +

  • ylab (str) – Label for the y axis.

    • +

  • xlab (str) – Label for the x axis.

    • +

  • ymax (int, optional, default is the max y value) – The max value of the y axis

    • +

  • ymin (int, optional, default is 0) – The minimum value of the y axis

    • +

  • baseline (array like or scalar, optional, default is None) – Whether another line representing the baseline needs to be plotted

    • +

  • yinc (int, optional) – The increment of ticks on the y axis.

    • +
+
+
Returns
+

    +

  • fig – Matplotlib fig object

    • +

  • ax – Matplotlib ax object

    • +

  • props – Dictionary of the text annotation properties

    • +
+

+
+
+
+ +
+
+stacked_chart(xlab, lab1, lab2, **kwargs)[source]
+

Creates a stacked bar chart comparing 2 sets of data

+
+
Parameters
+
    +

  • data (dataframe) – Data for the stacked bar chart. The dataframe must have 3 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data.

    • +

  • xlab (str) – Label for the x axis.

    • +

  • lab1 (str) – Label in the legend for the baseline

    • +

  • lab2 (str) – Label in the legend fot the next data series

    • +

  • xmax (int, optional, default is the max s value) – The max value of the y axis

    • +

  • xmin (int, optional, default is 0) – The minimum value of the x axis

    • +

  • precision (int, optional, default is -1) – Decimal places in the annotations

    • +

  • percent (boolean, optional, default is False) – Whether the annotations should be formatted as percentages

    • +

  • xinc (int, optional) – The increment of ticks on the x axis.

    • +
+
+
Returns
+

    +

  • fig – Matplotlib fig object

    • +

  • ax – Matplotlib ax object

    • +
+

+
+
+
+ +
+
+tow_chart(ylab, **kwargs)[source]
+

Creates a 7 day time of week line chart. Each data point represents 1 hour out of 168 hours.

+
+
Parameters
+
    +

  • data (array like or scalar) – Data for the tow chart. Data must only have 168 entries, with row 0 representing Monday at midnight.

    • +

  • ylab (str) – Label for the y axis.

    • +

  • ymax (int, optional, default is the max y value) – The max value of the y axis

    • +

  • ymin (int, optional, default is 0) – The minimum value of the y axis

    • +

  • yinc (int, optional) – The increment of ticks on the y axis.

    • +
+
+
Returns
+

    +

  • fig – Matplotlib fig object

    • +

  • ax – Matplotlib ax object

    • +

  • props – Dictionary of the text annotation properties

    • +
+

+
+
+
+ +
+ +
+
+class rick.colour[source]
+

Class defining the global colour variables for all functions.

+
+ +
+
+class rick.font[source]
+

Class defining the global font variables for all functions.

+
+ +
+
+rick.func()
+

Function to set global settings for the charts class.

+
+ +
+
+class rick.geo[source]
+

Class for additional gis layers needed for the cloropleth map.

+
+
+island()[source]
+

Function to return a layer of the Toronto island. Since the island is classified in the same neighbourhood as the waterfront, in some cases its not completely accurate to show the island shares the same data as the waterfront.

+
+
Parameters
+

con (SQL connection object) – Connection object needed to connect to the RDS

+
+
Returns
+

Geopandas Dataframe of the Toronto island.

+
+
Return type
+

gdf

+
+
+
+ +
+
+ttc()[source]
+

Function to return the TTC subway layer.

+
+
Parameters
+

con (SQL connection object) – Connection object needed to connect to the RDS

+
+
Returns
+

Geopandas Dataframe of the Subway Layer

+
+
Return type
+

gdf

+
+
+
+ +
+ +
+ + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/genindex.html b/charts/_build/html/genindex.html new file mode 100644 index 0000000..d99484f --- /dev/null +++ b/charts/_build/html/genindex.html @@ -0,0 +1,173 @@ + + + + + + + + Index — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + +
+
+
+
+ + +

Index

+ +
+ B + | C + | F + | G + | I + | L + | R + | S + | T + +
+

B

+ + +
+ +

C

+ + + +
+ +

F

+ + + +
+ +

G

+ + +
+ +

I

+ + +
+ +

L

+ + +
+ +

R

+ + +
+ +

S

+ + +
+ +

T

+ + + +
+ + + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/index.html b/charts/_build/html/index.html new file mode 100644 index 0000000..101c296 --- /dev/null +++ b/charts/_build/html/index.html @@ -0,0 +1,94 @@ + + + + + + + Repeatable Information Charts Kit README — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + +
+
+
+
+ +
+

Repeatable Information Charts Kit README

+

This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions.

+
+

Contents:

+ +
+
+
+

Indices and tables

+ +
+ + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/objects.inv b/charts/_build/html/objects.inv new file mode 100644 index 0000000..6297b88 --- /dev/null +++ b/charts/_build/html/objects.inv @@ -0,0 +1,7 @@ +# Sphinx inventory version 2 +# Project: VFH Charts +# Version: 0.7.1 +# The remainder of this file is compressed using zlib. +xڕj0 y +vMخ2 +{jbj[Ve4ɶ/QGN ǺOXSՊT>BYTAby~$-뫼j-;nX鮄(ȳ>|́!W Ixg *-z=7y"E, ^hVPN<Ұb;i!oQj&j6ؤk$LuFsxɫfvj.eםs#mHTWkwlot \ No newline at end of file diff --git a/charts/_build/html/py-modindex.html b/charts/_build/html/py-modindex.html new file mode 100644 index 0000000..a0b0739 --- /dev/null +++ b/charts/_build/html/py-modindex.html @@ -0,0 +1,95 @@ + + + + + + + Python Module Index — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + + + +
+
+
+
+ + +

Python Module Index

+ +
+ r +
+ + + + + + + +
 
+ r
+ rick +
+ + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/search.html b/charts/_build/html/search.html new file mode 100644 index 0000000..cb04732 --- /dev/null +++ b/charts/_build/html/search.html @@ -0,0 +1,88 @@ + + + + + + + Search — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + + + +
+
+
+
+ +

Search

+
+ +

+ Please activate JavaScript to enable the search + functionality. +

+
+

+ From here you can search these documents. Enter your search + words into the box below and click "search". Note that the search + function will automatically search for all of the words. Pages + containing fewer words won't appear in the result list. +

+
+ + + +
+ +
+ +
+ +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/searchindex.js b/charts/_build/html/searchindex.js new file mode 100644 index 0000000..abe3a93 --- /dev/null +++ b/charts/_build/html/searchindex.js @@ -0,0 +1 @@ +Search.setIndex({docnames:["code","index"],envversion:{"sphinx.domains.c":1,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":1,"sphinx.domains.javascript":1,"sphinx.domains.math":2,"sphinx.domains.python":1,"sphinx.domains.rst":1,"sphinx.domains.std":1,"sphinx.ext.viewcode":1,sphinx:56},filenames:["code.rst","index.rst"],objects:{"":{rick:[0,0,0,"-"]},"rick.charts":{bar_chart:[0,2,1,""],chloro_map:[0,2,1,""],line_chart:[0,2,1,""],stacked_chart:[0,2,1,""],tow_chart:[0,2,1,""]},"rick.geo":{island:[0,2,1,""],ttc:[0,2,1,""]},rick:{charts:[0,1,1,""],colour:[0,1,1,""],font:[0,1,1,""],func:[0,3,1,""],geo:[0,1,1,""]}},objnames:{"0":["py","module","Python module"],"1":["py","class","Python class"],"2":["py","method","Python method"],"3":["py","function","Python function"]},objtypes:{"0":"py:module","1":"py:class","2":"py:method","3":"py:function"},terms:{"boolean":0,"case":0,"class":0,"default":0,"function":[0,1],"int":0,"return":[0,1],"true":0,RDS:0,The:0,There:1,accur:0,addit:0,aim:1,all:[0,1],annot:0,anoth:0,append:0,arrai:0,auto:1,axi:0,bar:0,bar_chart:0,baselin:0,bditto:1,bound:0,brand:1,bylaw:1,can:1,chart:0,chloro_map:0,chloropleth:0,classifi:0,cloropleth:0,cmap:0,colour:0,colourmap:0,column:0,compar:0,complet:0,con:0,connect:0,consist:1,contain:0,content:1,creat:[0,1],dai:0,data:0,datafram:0,decim:0,defailt:0,defin:0,defualt:0,design:1,develop:1,dictionari:0,displai:0,document:1,each:0,end:0,entri:0,everyth:1,fals:0,fig:[0,1],figur:1,first:0,font:0,format:0,fot:0,func:0,further:1,gdf:0,gener:1,geo:0,geom:0,geopanda:0,gis:0,global:0,grei:0,has:0,have:0,hour:0,increment:0,index:1,inspir:1,island:0,its:0,kwarg:0,lab1:0,lab2:0,label:0,languag:1,layer:0,legend:0,like:0,line:0,line_chart:0,lower:0,manual:0,map:[0,1],matplotlib:[0,1],max:0,midnight:0,minimum:0,modifi:[0,1],modul:1,mondai:0,must:0,nbin:0,need:[0,1],neighbourhood:0,next:0,none:0,number:0,object:[0,1],onli:0,option:0,out:0,page:1,paramet:0,percent:0,percentag:0,place:0,plot:0,point:0,precis:0,previou:1,produc:1,prop:0,properti:0,regular:1,report:1,repres:0,review:1,rick:0,row:0,same:0,scalar:0,search:1,second:0,seri:0,set:[0,1],share:0,should:0,show:0,sinc:0,some:0,sourc:0,sql:0,stack:0,stacked_chart:0,standard:1,str:0,subwai:0,text:0,thi:1,third:0,tick:0,time:0,titl:0,toronto:0,tow:0,tow_chart:0,ttc:0,type:0,unit:0,upper:0,use:0,using:1,valu:0,variabl:0,version:0,vfh:1,waterfront:0,week:0,whether:0,xinc:0,xlab:0,xmax:0,xmin:0,yinc:0,ylab:0,ylorrd:0,ymax:0,ymin:0},titles:["Auto Generated Documentation","Repeatable Information Charts Kit README"],titleterms:{auto:0,chart:1,document:0,gener:0,indic:1,inform:1,kit:1,readm:1,repeat:1,tabl:1}}) \ No newline at end of file diff --git a/charts/code.rst b/charts/code.rst new file mode 100644 index 0000000..01cb60b --- /dev/null +++ b/charts/code.rst @@ -0,0 +1,5 @@ +Auto Generated Documentation +============================ + +.. automodule:: rick + :members: \ No newline at end of file diff --git a/charts/conf.py b/charts/conf.py new file mode 100644 index 0000000..f847626 --- /dev/null +++ b/charts/conf.py @@ -0,0 +1,171 @@ +#!/usr/bin/env python3 +# -*- coding: utf-8 -*- +# +# VFH Charts documentation build configuration file, created by +# sphinx-quickstart on Tue Jul 16 16:26:10 2019. +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. + +import sys, os + +sys.path.insert(0, os.path.abspath('.')) + + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +# +# needs_sphinx = '1.0' + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = ['sphinx.ext.autodoc', + 'sphinx.ext.doctest', + 'sphinx.ext.viewcode', 'sphinx.ext.coverage', 'sphinx.ext.napoleon'] + +# Add any paths that contain templates here, relative to this directory. +templates_path = ['_templates'] + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +# +# source_suffix = ['.rst', '.md'] +source_suffix = '.rst' + +# The master toctree document. +master_doc = 'index' + +# General information about the project. +project = 'VFH Charts' +copyright = '2019, Rick Liu' +author = 'Rick Liu' + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The short X.Y version. +version = '0.7.1' +# The full version, including alpha/beta/rc tags. +release = '2019-07-16' + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = None + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +# This patterns also effect to html_static_path and html_extra_path +exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = 'sphinx' + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = False + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +# +html_theme = 'alabaster' + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +# +# html_theme_options = {} + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ['_static'] + +# Custom sidebar templates, must be a dictionary that maps document names +# to template names. +# +# This is required for the alabaster theme +# refs: http://alabaster.readthedocs.io/en/latest/installation.html#sidebars +html_sidebars = { + '**': [ + 'relations.html', # needs 'show_related': True theme option to display + 'searchbox.html', + ] +} + + +# -- Options for HTMLHelp output ------------------------------------------ + +# Output file base name for HTML help builder. +htmlhelp_basename = 'VFHChartsdoc' + + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # + # 'papersize': 'letterpaper', + + # The font size ('10pt', '11pt' or '12pt'). + # + # 'pointsize': '10pt', + + # Additional stuff for the LaTeX preamble. + # + # 'preamble': '', + + # Latex figure (float) alignment + # + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + (master_doc, 'VFHCharts.tex', 'VFH Charts Documentation', + 'Rick Liu', 'manual'), +] + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + (master_doc, 'vfhcharts', 'VFH Charts Documentation', + [author], 1) +] + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + (master_doc, 'VFHCharts', 'VFH Charts Documentation', + author, 'VFHCharts', 'One line description of project.', + 'Miscellaneous'), +] + + + diff --git a/charts/index.rst b/charts/index.rst new file mode 100644 index 0000000..e8c1426 --- /dev/null +++ b/charts/index.rst @@ -0,0 +1,24 @@ +.. VFH Charts documentation master file, created by + sphinx-quickstart on Tue Jul 16 16:26:10 2019. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +Repeatable Information Charts Kit README +====================================== + +This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions. + +.. toctree:: + :maxdepth: 2 + :caption: Contents: + + code + + + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` diff --git a/charts/make.bat b/charts/make.bat new file mode 100644 index 0000000..3f81752 --- /dev/null +++ b/charts/make.bat @@ -0,0 +1,36 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=. +set BUILDDIR=_build +set SPHINXPROJ=VFHCharts + +if "%1" == "" goto help + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.http://sphinx-doc.org/ + exit /b 1 +) + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% + +:end +popd diff --git a/charts/rick.py b/charts/rick.py index 90fb4d5..17fa205 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -1,8 +1,8 @@ # -*- coding: utf-8 -*- """ -Created on Tue Jul 2 17:01:30 2019 +Version 0.8.0 + -@author: rliu4 """ from psycopg2 import connect import psycopg2.sql as pg @@ -23,18 +23,46 @@ #os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" class font: + """ + Class defining the global font variables for all functions. + + """ + leg_font = font_manager.FontProperties(family='Libre Franklin',size=9) normal = 'Libre Franklin' semibold = 'Libre Franklin SemiBold' - + + class colour: + """ + Class defining the global colour variables for all functions. + + """ purple = '#660159' grey = '#7f7e7e' light_grey = '#777777' + cmap = 'YlOrRd' class geo: + """ + Class for additional gis layers needed for the cloropleth map. + + """ def ttc(con): + """Function to return the TTC subway layer. + + Parameters + ------------ + con : SQL connection object + Connection object needed to connect to the RDS + + Returns + -------- + gdf + Geopandas Dataframe of the Subway Layer + + """ query = ''' SELECT * FROM gis.subway_to @@ -50,6 +78,21 @@ def ttc(con): return ttc def island(con): + + """Function to return a layer of the Toronto island. Since the island is classified in the same neighbourhood as the waterfront, in some cases its not completely accurate to show the island shares the same data as the waterfront. + + Parameters + ------------ + con : SQL connection object + Connection object needed to connect to the RDS + + Returns + -------- + gdf + Geopandas Dataframe of the Toronto island. + + """ + query = ''' SELECT @@ -63,24 +106,66 @@ def island(con): island = island.to_crs({'init' :'epsg:3857'}) for index, row in island.iterrows(): - rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) + rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) island.loc[index, 'geom'] = rotated return island class charts: + """ + Class defining all the charting functions. + + """ global func def func(): - sns.set(font_scale=1.5) + + """Function to set global settings for the charts class. + + """ + + sns.set(font_scale=1.5) mpl.rc('font',family='Libre Franklin') def chloro_map(con, df, lower, upper, title, **kwargs): + """Creates a chloropleth map + + Parameters + ----------- + con : SQL connection object + Connection object needed to connect to the RDS + df : GeoPandas Dataframe + Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the geom column and the second has to be the data that needs to be mapped. + lower : int + Lower bound for colourmap + upper : int + Upper bound for the colourmap + title : str + Legend label + subway : boolean, optional, default: False + True to display subway on the map + island : boolean, optional, defailt: True + False to grey out the Toronto island + cmap : str, optional, default: YlOrRd + Matplotlib colourmap to use for the map + unit : str, optional + Unit to append to the end of the legend tick + nbins : int, optional, defualt: 2 + Number of ticks in the colourmap + + Returns + -------- + fig + Matplotlib fig object + ax + Matplotlib ax object + + """ func() subway = kwargs.get('subway', False) island = kwargs.get('island', True) - cmap = kwargs.get('cmap', 'YlOrRd') + cmap = kwargs.get('cmap', colour.cmap) unit = kwargs.get('unit', None) nbins = kwargs.get('nbins', 2) @@ -147,6 +232,35 @@ def chloro_map(con, df, lower, upper, title, **kwargs): return fig, ax def line_chart(data, ylab, xlab, **kwargs): + """Creates a line chart. x axis must be modified manually + + Parameters + ----------- + data : array like or scalar + Data for the line chart. + ylab : str + Label for the y axis. + xlab : str + Label for the x axis. + ymax : int, optional, default is the max y value + The max value of the y axis + ymin : int, optional, default is 0 + The minimum value of the y axis + baseline : array like or scalar, optional, default is None + Whether another line representing the baseline needs to be plotted + yinc : int, optional + The increment of ticks on the y axis. + + Returns + -------- + fig + Matplotlib fig object + ax + Matplotlib ax object + props + Dictionary of the text annotation properties + + """ func() ymax = kwargs.get('ymax', int(data.max())) @@ -185,10 +299,34 @@ def line_chart(data, ylab, xlab, **kwargs): ax.set_ylim([ymin,int(4*yinc+ymin)]) fig.patch.set_facecolor('w') - return fig, ax + return fig, ax, props def tow_chart(data, ylab, **kwargs): - + """Creates a 7 day time of week line chart. Each data point represents 1 hour out of 168 hours. + + Parameters + ----------- + data : array like or scalar + Data for the tow chart. Data must only have 168 entries, with row 0 representing Monday at midnight. + ylab : str + Label for the y axis. + ymax : int, optional, default is the max y value + The max value of the y axis + ymin : int, optional, default is 0 + The minimum value of the y axis + yinc : int, optional + The increment of ticks on the y axis. + + Returns + -------- + fig + Matplotlib fig object + ax + Matplotlib ax object + props + Dictionary of the text annotation properties + + """ func() ymax = kwargs.get('ymax', None) ymin = kwargs.get('ymin', 0) @@ -244,9 +382,41 @@ def tow_chart(data, ylab, **kwargs): props = dict(boxstyle='round, pad=0.3',edgecolor=colour.purple, linewidth = 1.5, facecolor = 'w', alpha=1) ax.set_xlim([0,167]) - return fig, ax + return fig, ax, prop def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): + """Creates a stacked bar chart comparing 2 sets of data + + Parameters + ----------- + data : dataframe + Data for the stacked bar chart. The dataframe must have 3 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data. + xlab : str + Label for the x axis. + lab1 : str + Label in the legend for the baseline + lab2 : str + Label in the legend fot the next data series + xmax : int, optional, default is the max s value + The max value of the y axis + xmin : int, optional, default is 0 + The minimum value of the x axis + precision : int, optional, default is -1 + Decimal places in the annotations + percent : boolean, optional, default is False + Whether the annotations should be formatted as percentages + + xinc : int, optional + The increment of ticks on the x axis. + + Returns + -------- + fig + Matplotlib fig object + ax + Matplotlib ax object + + """ func() data = data_in.copy(deep=True) @@ -331,7 +501,32 @@ def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): return fig, ax def bar_chart(data_in, xlab,**kwargs): - + """Creates a bar chart + + Parameters + ----------- + data : dataframe + Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data + xlab : str + Label for the x axis. + xmax : int, optional, default is the max s value + The max value of the y axis + xmin : int, optional, default is 0 + The minimum value of the x axis + precision : int, optional, default is -1 + Decimal places in the annotations + + xinc : int, optional + The increment of ticks on the x axis. + + Returns + -------- + fig + Matplotlib fig object + ax + Matplotlib ax object + + """ func() data = data_in.copy(deep=True) From 9da023e88a5c44f8a270c944c9e9b3b13f4597a9 Mon Sep 17 00:00:00 2001 From: rickl4 <38917106+rickl4@users.noreply.github.com> Date: Thu, 25 Jul 2019 17:00:39 -0400 Subject: [PATCH 20/31] added graph gallery --- .../doctrees/auto_examples/index.doctree | Bin 0 -> 13976 bytes .../doctrees/auto_examples/plot_bar.doctree | Bin 0 -> 9194 bytes .../auto_examples/plot_chloropleth.doctree | Bin 0 -> 13299 bytes 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'Community', 1) as area_name,\nb.count as count1, a.count as count2 FROM tot1 b\nLEFT JOIN tot2 a USING (area_name)\nORDER BY count1 ASC\n'''\n\ndistrict_cond = pandasql.read_sql(query, con)\n\nfig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/charts/_build/html/_downloads/31f32a41483cb2a88aa2f260f665b07f/auto_examples_python.zip b/charts/_build/html/_downloads/31f32a41483cb2a88aa2f260f665b07f/auto_examples_python.zip new file mode 100644 index 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+ ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)\n\nquery = '''\n\nWITH sum AS (\n\nSELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,\nextract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25\n\n\nWHERE pickup_datetime > '2018-08-31'\nGROUP BY pickup_datetime, hr\n\n)\n, collect AS (\nSELECT avg(count) as count, hr, dow from sum\ngroup by hr, dow)\n\nSELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, \nCASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch\nFROM collect\nLEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr\nLEFT JOIN ptc.periods_simple USING (period_uid)\nORDER BY dow, hr\n\n'''\ncount_18 = pandasql.read_sql(query,con)\n\nfig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": 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z#9cz%0^+{$z4vP8|2Ghzp4I28FX-3oe+tq2v~0WR%~9R5R{QFUAN??ETX}6!!{(}t zMR|gy4Cnn!1_j9G8!sZw%f^5F '2018-08-31' +GROUP BY pickup_datetime, hr + +) +, collect AS ( +SELECT avg(count) as count, hr, dow from sum +group by hr, dow) + +SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, +CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch +FROM collect +LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr +LEFT JOIN ptc.periods_simple USING (period_uid) +ORDER BY dow, hr + +''' +count_18 = pandasql.read_sql(query,con) + +fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500) \ No newline at end of file diff --git a/charts/_build/html/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb b/charts/_build/html/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb new file mode 100644 index 0000000..4096056 --- /dev/null +++ b/charts/_build/html/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nLine Chart\n==================\n\nMakes an example of a line chart, with an additional baseline plot and custom formatted x axis.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)\n\nquery='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS (\nSELECT extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount FROM total\n'''\ntotal=pandasql.read_sql(query, con)\n\nquery='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS (\nSELECT extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount/2 as count FROM total\n'''\ntotal2=pandasql.read_sql(query, con)\n\nfig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])\n\n\nfig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n verticalalignment='top', ha = 'center', bbox=props, color = '#660159')\n\nmonth_lst2 = ['Sept\\n2016', 'Jan\\n2017', 'May', 'Sept',\n 'Jan\\n2018', 'May', 'Sept', \n 'Jan\\n2019','May',]\nplt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/charts/_build/html/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py b/charts/_build/html/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py new file mode 100644 index 0000000..ea5cf8f --- /dev/null +++ b/charts/_build/html/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py @@ -0,0 +1,67 @@ +""" +Stacked Bar Chart +================== + +Makes an example of a stacked bar chart. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) + +query = ''' + +WITH sum AS ( + +SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25 +LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short + +WHERE pickup_datetime > '2016-09-30' +GROUP BY pickup_datetime, area_name +), collect AS ( +SELECT area_name, avg(count) as count, mon, yr from sum +group by area_name, mon, yr) + +,tot1 AS ( + +SELECT area_name, avg(count) as count FROM collect +WHERE (yr =2016 AND mon IN (10)) +GROUP BY area_name +), tot2 AS ( + +SELECT area_name, avg(count) as count FROM collect +WHERE (yr =2018 AND mon IN (9)) +GROUP BY area_name +) +SELECT SPLIT_PART(area_name, 'Community', 1) as area_name, +b.count as count1, a.count as count2 FROM tot1 b +LEFT JOIN tot2 a USING (area_name) +ORDER BY count1 ASC +''' + +district_cond = pandasql.read_sql(query, con) + +fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True) \ No newline at end of file diff --git a/charts/_build/html/_images/sphx_glr_plot_bar_001.png b/charts/_build/html/_images/sphx_glr_plot_bar_001.png new file mode 100644 index 0000000000000000000000000000000000000000..3a0dda630befffdac9f11c11522a8cfdc1f52f00 GIT binary patch literal 6079 zcmcJTcT|&Wm-Zh(L`6iUDBXh~(&UH~2~AK+=rw^*qA1dPla6vIf&$W{BLbm!0-+z3 zj`W0H6r?w4LHgWz&-&Ik^T)f^%o+z41fG@T+1dBrzw6rjwU&kw%?0KQ5CqY{l^^Lq z5V;xnyZ_u-@Y~`26g_x2<022&I|sge&OHkS|DShMHgtg?+9#wRvRv65D{xW5Rl&ej 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z00Nu_x7YWR<(%E(=WM@$0IOH;jV;e;ZhJ|6lUn7+7@%Tzo^@OCSU?5mPGYl>pT>hTABi1bY)^5GR?riOIW^loaID zFHM)=4h=|DE{yzLI$4QpxYyf#Mq^R7z+r~av3%K~% z-gSfn%Pz2K!17&QTkC48ea1;fZG(o02@$R6Z{Sk$lWjq#1Hd!x;&kG4sx1v(0N(+F zrG~L_3Uc+HkPvy*MA*bS9i?@pQ0U0>A~Uv-BS+`e~Cg4 zSy@?@9bQktR}V`Qa-&Z3ZMOllig)$H1x{CN3nJ#+w!3V9 z4UMP^UPNmXl2Oju0ZgZNE&!em4x5Ab6*=m9Pq4dVwH^XMD2m(30I7T)HXyh;!Afwf znIs@2v_KI3wy)CA(`#QX0+V2KhyZ_DFKlLTT47;f<&~8X)e!MMOverview: module code — VFH Charts 2019-07-16 documentation + diff --git a/charts/_build/html/_modules/rick.html b/charts/_build/html/_modules/rick.html index 9dbfd29..4e872d1 100644 --- a/charts/_build/html/_modules/rick.html +++ b/charts/_build/html/_modules/rick.html @@ -7,6 +7,7 @@ rick — VFH Charts 2019-07-16 documentation + @@ -413,7 +414,7 @@

Source code for rick

         props = dict(boxstyle='round, pad=0.3',edgecolor=colour.purple, linewidth = 1.5, facecolor = 'w', alpha=1)
 
         ax.set_xlim([0,167])
-        return fig, ax, prop
+ return fig, ax, props
[docs] def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): """Creates a stacked bar chart comparing 2 sets of data diff --git a/charts/_build/html/_sources/auto_examples/index.rst.txt b/charts/_build/html/_sources/auto_examples/index.rst.txt new file mode 100644 index 0000000..3df34af --- /dev/null +++ b/charts/_build/html/_sources/auto_examples/index.rst.txt @@ -0,0 +1,139 @@ +:orphan: + + + +.. _sphx_glr_auto_examples: + +Gallery of Charts +================== + +Below is a gallery of example charts for each charting function in rick.charts. + + +.. raw:: html + +
+ +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_bar_thumb.png + + :ref:`sphx_glr_auto_examples_plot_bar.py` + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/plot_bar + +.. raw:: html + +
+ +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_tow_thumb.png + + :ref:`sphx_glr_auto_examples_plot_tow.py` + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/plot_tow + +.. raw:: html + +
+ +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_stacked_thumb.png + + :ref:`sphx_glr_auto_examples_plot_stacked.py` + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/plot_stacked + +.. raw:: html + +
+ +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_chloropleth_thumb.png + + :ref:`sphx_glr_auto_examples_plot_chloropleth.py` + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/plot_chloropleth + +.. raw:: html + +
+ +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_line_thumb.png + + :ref:`sphx_glr_auto_examples_plot_line.py` + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/plot_line +.. raw:: html + +
+ + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-gallery + + + .. container:: sphx-glr-download + + :download:`Download all examples in Python source code: auto_examples_python.zip ` + + + + .. container:: sphx-glr-download + + :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/_build/html/_sources/auto_examples/plot_bar.rst.txt b/charts/_build/html/_sources/auto_examples/plot_bar.rst.txt new file mode 100644 index 0000000..ba53335 --- /dev/null +++ b/charts/_build/html/_sources/auto_examples/plot_bar.rst.txt @@ -0,0 +1,88 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_bar.py: + + +Bar Chart +================== + +Makes an example of a bar chart. + + + +.. image:: /auto_examples/images/sphx_glr_plot_bar_001.png + :class: sphx-glr-single-img + + + + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + pass_data = {'cat': ['PTC','Taxi', 'Trip Making Population'], + 'TTC Pass': [22,16,16], + } + + transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass']) + transit_pass = transit_pass .reindex(index=transit_pass .index[::-1]) + + fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips') + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 2.632 seconds) + + +.. _sphx_glr_download_auto_examples_plot_bar.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_bar.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_bar.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/_build/html/_sources/auto_examples/plot_chloropleth.rst.txt b/charts/_build/html/_sources/auto_examples/plot_chloropleth.rst.txt new file mode 100644 index 0000000..afc09fb --- /dev/null +++ b/charts/_build/html/_sources/auto_examples/plot_chloropleth.rst.txt @@ -0,0 +1,174 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_chloropleth.py: + + +Chloropleth Map +================== + +Makes an example of a chloropleth map. + + +.. code-block:: default + + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + + + + + + +Data Collection +---------------- + +This Section grabs and formats the data. + + +.. code-block:: default + + query = ''' + + WITH sum AS ( + SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, + sum(count) as count FROM ptc.trip_data_agg_neighbourhood + GROUP BY pickup_datetime, pickup_neighbourhood + + ), ward1 AS ( + + SELECT avg(count) as count, pickup_neighbourhood from sum + WHERE (yr=2018 AND mon IN (9)) + GROUP BY pickup_neighbourhood + ORDER BY count + ), ward2 AS ( + + SELECT avg(count) as count, pickup_neighbourhood from sum + WHERE (yr=2016 AND mon IN (10)) + GROUP BY pickup_neighbourhood + ORDER BY count + ) + + SELECT pickup_neighbourhood, geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a + LEFT JOIN ward1 b USING ( pickup_neighbourhood) + LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood + + ''' + + + + + + +Rotates data 17 degrees to orient Toronto perpendicularly + + +.. code-block:: default + + data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom') + data = data.to_crs({'init' :'epsg:3857'}) + + for index, row in data.iterrows(): + rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) + data.at[index, 'geom'] = rotated + + + + + + + +The function only needs these columns, in this order + + +.. code-block:: default + + data=data[['geom', 'growth']] + + + + + + + + +Calls the Function + + + + + +.. code-block:: default + + fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', + island = False, unit = '%', nbins = 3) + + + + +.. image:: /auto_examples/images/sphx_glr_plot_chloropleth_001.png + :class: sphx-glr-single-img + + + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 18.050 seconds) + + +.. _sphx_glr_download_auto_examples_plot_chloropleth.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_chloropleth.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_chloropleth.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/_build/html/_sources/auto_examples/plot_line.rst.txt b/charts/_build/html/_sources/auto_examples/plot_line.rst.txt new file mode 100644 index 0000000..d22308d --- /dev/null +++ b/charts/_build/html/_sources/auto_examples/plot_line.rst.txt @@ -0,0 +1,147 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_line.py: + + +Line Chart +================== + +Makes an example of a line chart, with an additional baseline plot and custom formatted x axis. + + + +.. image:: /auto_examples/images/sphx_glr_plot_line_001.png + :class: sphx-glr-single-img + + + + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + query=''' + WITH daily_ave AS ( + + SELECT * FROM ptc.daily_trips + ), total AS ( + SELECT extract(month from pickup_datetime) as mon, + extract(year from pickup_datetime) as yr, + + CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 + WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE + avg(count)::integer END as count FROM daily_ave + GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) + ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) + ) + + + SELECT + CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') + END AS period, + count FROM total + ''' + total=pandasql.read_sql(query, con) + + query=''' + WITH daily_ave AS ( + + SELECT * FROM ptc.daily_trips + ), total AS ( + SELECT extract(month from pickup_datetime) as mon, + extract(year from pickup_datetime) as yr, + + CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 + WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE + avg(count)::integer END as count FROM daily_ave + GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) + ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) + ) + + + SELECT + CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') + END AS period, + count/2 as count FROM total + ''' + total2=pandasql.read_sql(query, con) + + fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count']) + + + fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', + verticalalignment='top', ha = 'center', bbox=props, color = '#660159') + + month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', + 'Jan\n2018', 'May', 'Sept', + 'Jan\n2019','May',] + plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin') + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 3.376 seconds) + + +.. _sphx_glr_download_auto_examples_plot_line.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_line.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_line.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/_build/html/_sources/auto_examples/plot_stacked.rst.txt b/charts/_build/html/_sources/auto_examples/plot_stacked.rst.txt new file mode 100644 index 0000000..562b4c9 --- /dev/null +++ b/charts/_build/html/_sources/auto_examples/plot_stacked.rst.txt @@ -0,0 +1,118 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_stacked.py: + + +Stacked Bar Chart +================== + +Makes an example of a stacked bar chart. + + + +.. image:: /auto_examples/images/sphx_glr_plot_stacked_001.png + :class: sphx-glr-single-img + + + + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + query = ''' + + WITH sum AS ( + + SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25 + LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short + + WHERE pickup_datetime > '2016-09-30' + GROUP BY pickup_datetime, area_name + ), collect AS ( + SELECT area_name, avg(count) as count, mon, yr from sum + group by area_name, mon, yr) + + ,tot1 AS ( + + SELECT area_name, avg(count) as count FROM collect + WHERE (yr =2016 AND mon IN (10)) + GROUP BY area_name + ), tot2 AS ( + + SELECT area_name, avg(count) as count FROM collect + WHERE (yr =2018 AND mon IN (9)) + GROUP BY area_name + ) + SELECT SPLIT_PART(area_name, 'Community', 1) as area_name, + b.count as count1, a.count as count2 FROM tot1 b + LEFT JOIN tot2 a USING (area_name) + ORDER BY count1 ASC + ''' + + district_cond = pandasql.read_sql(query, con) + + fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True) + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 2.260 seconds) + + +.. _sphx_glr_download_auto_examples_plot_stacked.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_stacked.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_stacked.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/_build/html/_sources/auto_examples/plot_tow.rst.txt b/charts/_build/html/_sources/auto_examples/plot_tow.rst.txt new file mode 100644 index 0000000..96ed8c2 --- /dev/null +++ b/charts/_build/html/_sources/auto_examples/plot_tow.rst.txt @@ -0,0 +1,112 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_tow.py: + + +Time of Week Chart +================== + +Makes an example of a time of week chart. + + + +.. image:: /auto_examples/images/sphx_glr_plot_tow_001.png + :class: sphx-glr-single-img + + + + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + query = ''' + + WITH sum AS ( + + SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, + extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25 + + + WHERE pickup_datetime > '2018-08-31' + GROUP BY pickup_datetime, hr + + ) + , collect AS ( + SELECT avg(count) as count, hr, dow from sum + group by hr, dow) + + SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, + CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch + FROM collect + LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr + LEFT JOIN ptc.periods_simple USING (period_uid) + ORDER BY dow, hr + + ''' + count_18 = pandasql.read_sql(query,con) + + fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500) + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 3.390 seconds) + + +.. _sphx_glr_download_auto_examples_plot_tow.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_tow.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_tow.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/_build/html/_sources/auto_examples/sg_execution_times.rst.txt b/charts/_build/html/_sources/auto_examples/sg_execution_times.rst.txt new file mode 100644 index 0000000..e3180e8 --- /dev/null +++ b/charts/_build/html/_sources/auto_examples/sg_execution_times.rst.txt @@ -0,0 +1,14 @@ + +:orphan: + +.. _sphx_glr_auto_examples_sg_execution_times: + +Computation times +================= +**00:03.390** total execution time for **auto_examples** files: + +- **00:03.390**: :ref:`sphx_glr_auto_examples_plot_tow.py` (``plot_tow.py``) +- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_bar.py` (``plot_bar.py``) +- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_chloropleth.py` (``plot_chloropleth.py``) +- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_line.py` (``plot_line.py``) +- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_stacked.py` (``plot_stacked.py``) diff --git a/charts/_build/html/_sources/index.rst.txt b/charts/_build/html/_sources/index.rst.txt index e8c1426..9bde69a 100644 --- a/charts/_build/html/_sources/index.rst.txt +++ b/charts/_build/html/_sources/index.rst.txt @@ -4,15 +4,16 @@ contain the root `toctree` directive. Repeatable Information Charts Kit README -====================================== +========================================== This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions. .. toctree:: :maxdepth: 2 :caption: Contents: - + code + auto_examples/index diff --git a/charts/_build/html/_static/broken_example.png b/charts/_build/html/_static/broken_example.png new file mode 100644 index 0000000000000000000000000000000000000000..4fea24e7df4781c2c32c8d7995511ac89e953145 GIT binary patch literal 21404 zcmaHTWmKEb({>2%?jE#QaVRdqp+KR9;KkkDwKxQKD^i>mcWI%x7Y&k9+}-8j_dn93t*7AV|HwhohmqKD$2joW8ywxydML zqrEnNH1nv}&*;vI5H|n-lkmR>0w6n=?Db1>cR5{mEhkHNug|U)052~uE*nQXH?z;q z7FUG-5?6Je82K9+|@BAhth9CST zcHAcNv&0`(9}ayi)2wQc@&7-~jsgpX(%s?2qY+ic?=2k&^fkcbJ3TknEkKtDe&=cQ z0sPtmK2NQh;D#Y$&7V2Y^6sv#*~LahMU`V>iICenIfqO4taPuTpf)ZngI?P{O4u`s z0y&n$M&@6Xr%?l)|9V(8`Q9z9qwelr@uMg5WpxhDtsm=(Xg5w7AEldPGDW?Jy-Nb0 zrg(@%fC03Cai>T62zfwNHn*;$2*qH0d^@__p>5R6EErAj5#AlsOa^i9D#F^?Qw~A{ zkmHTp_)*CJu0q2SL>9z3HHd#g3=t2xx`O)jf=n3THGrF2mjgt7WbgLWh!%!QQ{byY 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/dev/null +++ b/charts/_build/html/auto_examples/index.html @@ -0,0 +1,122 @@ + + + + + + + Gallery of Charts — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + +
+
+
+
+ + + + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/auto_examples/plot_bar.html b/charts/_build/html/auto_examples/plot_bar.html new file mode 100644 index 0000000..b5c3104 --- /dev/null +++ b/charts/_build/html/auto_examples/plot_bar.html @@ -0,0 +1,132 @@ + + + + + + + Bar Chart — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + +
+
+
+
+ +
+

Note

+

Click here to download the full example code

+
+
+

Bar Chart

+

Makes an example of a bar chart.

+../_images/sphx_glr_plot_bar_001.png +
from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],
+        'TTC Pass': [22,16,16],
+        }
+
+transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])
+transit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])
+
+fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')
+
+
+

Total running time of the script: ( 0 minutes 2.632 seconds)

+ +

Gallery generated by Sphinx-Gallery

+
+ + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/auto_examples/plot_chloropleth.html b/charts/_build/html/auto_examples/plot_chloropleth.html new file mode 100644 index 0000000..09c0831 --- /dev/null +++ b/charts/_build/html/auto_examples/plot_chloropleth.html @@ -0,0 +1,176 @@ + + + + + + + Chloropleth Map — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + +
+
+
+
+ +
+

Note

+

Click here to download the full example code

+
+
+

Chloropleth Map

+

Makes an example of a chloropleth map.

+
from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
+
+
+

Data Collection

+

This Section grabs and formats the data.

+
query = '''
+
+WITH sum AS (
+SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood,
+sum(count) as count  FROM ptc.trip_data_agg_neighbourhood
+GROUP BY   pickup_datetime, pickup_neighbourhood
+
+), ward1 AS  (
+
+SELECT  avg(count) as count, pickup_neighbourhood from sum
+WHERE (yr=2018 AND mon IN (9))
+GROUP BY pickup_neighbourhood
+ORDER BY count
+), ward2 AS  (
+
+SELECT avg(count) as count, pickup_neighbourhood from sum
+WHERE (yr=2016 AND mon IN (10))
+GROUP BY pickup_neighbourhood
+ORDER BY count
+)
+
+SELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a
+LEFT JOIN ward1 b USING ( pickup_neighbourhood)
+LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood
+
+'''
+
+
+

Rotates data 17 degrees to orient Toronto perpendicularly

+
data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+data = data.to_crs({'init' :'epsg:3857'})
+
+for index, row in data.iterrows():
+    rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
+    data.at[index, 'geom'] = rotated
+
+
+

The function only needs these columns, in this order

+
data=data[['geom', 'growth']]
+
+
+

Calls the Function

+
fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips',
+                                       island = False,  unit = '%', nbins = 3)
+
+
+../_images/sphx_glr_plot_chloropleth_001.png +

Total running time of the script: ( 0 minutes 18.050 seconds)

+ +

Gallery generated by Sphinx-Gallery

+
+
+ + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/auto_examples/plot_line.html b/charts/_build/html/auto_examples/plot_line.html new file mode 100644 index 0000000..1f22a58 --- /dev/null +++ b/charts/_build/html/auto_examples/plot_line.html @@ -0,0 +1,187 @@ + + + + + + + Line Chart — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + +
+
+
+
+ +
+

Note

+

Click here to download the full example code

+
+
+

Line Chart

+

Makes an example of a line chart, with an additional baseline plot and custom formatted x axis.

+../_images/sphx_glr_plot_line_001.png +
from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
+query='''
+WITH daily_ave AS (
+
+SELECT * FROM ptc.daily_trips
+), total AS  (
+SELECT  extract(month from pickup_datetime) as mon,
+extract(year from pickup_datetime) as yr,
+
+CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+avg(count)::integer END as count FROM daily_ave
+GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+)
+
+
+SELECT
+CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
+WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
+ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+END AS period,
+count FROM total
+'''
+total=pandasql.read_sql(query, con)
+
+query='''
+WITH daily_ave AS (
+
+SELECT * FROM ptc.daily_trips
+), total AS  (
+SELECT  extract(month from pickup_datetime) as mon,
+extract(year from pickup_datetime) as yr,
+
+CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+avg(count)::integer END as count FROM daily_ave
+GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+)
+
+
+SELECT
+CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
+WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
+ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+END AS period,
+count/2 as count FROM total
+'''
+total2=pandasql.read_sql(query, con)
+
+fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])
+
+
+fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
+         verticalalignment='top', ha = 'center', bbox=props, color = '#660159')
+
+month_lst2 = ['Sept\n2016',  'Jan\n2017',  'May',  'Sept',
+               'Jan\n2018', 'May',  'Sept',
+              'Jan\n2019','May',]
+plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')
+
+
+

Total running time of the script: ( 0 minutes 3.376 seconds)

+ +

Gallery generated by Sphinx-Gallery

+
+ + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/auto_examples/plot_stacked.html b/charts/_build/html/auto_examples/plot_stacked.html new file mode 100644 index 0000000..1ff750c --- /dev/null +++ b/charts/_build/html/auto_examples/plot_stacked.html @@ -0,0 +1,162 @@ + + + + + + + Stacked Bar Chart — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + +
+
+
+
+ +
+

Note

+

Click here to download the full example code

+
+
+

Stacked Bar Chart

+

Makes an example of a stacked bar chart.

+../_images/sphx_glr_plot_stacked_001.png +
from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
+query = '''
+
+WITH sum AS (
+
+SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25
+LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short
+
+WHERE pickup_datetime > '2016-09-30'
+GROUP BY pickup_datetime, area_name
+), collect AS (
+SELECT area_name, avg(count) as count, mon, yr from sum
+group by area_name,  mon, yr)
+
+,tot1 AS (
+
+SELECT area_name, avg(count) as count FROM collect
+WHERE (yr =2016 AND mon IN (10))
+GROUP BY area_name
+), tot2 AS (
+
+SELECT area_name, avg(count) as count FROM collect
+WHERE (yr =2018 AND mon IN (9))
+GROUP BY area_name
+)
+SELECT SPLIT_PART(area_name, 'Community', 1) as area_name,
+b.count as count1, a.count as count2 FROM tot1 b
+LEFT JOIN tot2 a USING (area_name)
+ORDER BY count1 ASC
+'''
+
+district_cond = pandasql.read_sql(query, con)
+
+fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)
+
+
+

Total running time of the script: ( 0 minutes 2.260 seconds)

+ +

Gallery generated by Sphinx-Gallery

+
+ + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/auto_examples/plot_tow.html b/charts/_build/html/auto_examples/plot_tow.html new file mode 100644 index 0000000..ffc44d9 --- /dev/null +++ b/charts/_build/html/auto_examples/plot_tow.html @@ -0,0 +1,156 @@ + + + + + + + Time of Week Chart — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + +
+
+
+
+ +
+

Note

+

Click here to download the full example code

+
+
+

Time of Week Chart

+

Makes an example of a time of week chart.

+../_images/sphx_glr_plot_tow_001.png +
from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
+query = '''
+
+WITH sum AS (
+
+SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,
+extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25
+
+
+WHERE pickup_datetime > '2018-08-31'
+GROUP BY pickup_datetime, hr
+
+)
+, collect AS (
+SELECT  avg(count) as count, hr, dow from sum
+group by hr, dow)
+
+SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow,
+CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch
+FROM collect
+LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr
+LEFT JOIN ptc.periods_simple USING (period_uid)
+ORDER BY dow, hr
+
+'''
+count_18 = pandasql.read_sql(query,con)
+
+fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)
+
+
+

Total running time of the script: ( 0 minutes 3.390 seconds)

+ +

Gallery generated by Sphinx-Gallery

+
+ + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/auto_examples/sg_execution_times.html b/charts/_build/html/auto_examples/sg_execution_times.html new file mode 100644 index 0000000..cb008e3 --- /dev/null +++ b/charts/_build/html/auto_examples/sg_execution_times.html @@ -0,0 +1,86 @@ + + + + + + + Computation times — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + +
+
+
+
+ +
+

Computation times

+

00:03.390 total execution time for auto_examples files:

+ +
+ + +
+
+
+ +
+
+
+ ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
+ + + + + + \ No newline at end of file diff --git a/charts/_build/html/code.html b/charts/_build/html/code.html index e2a7fe0..087148c 100644 --- a/charts/_build/html/code.html +++ b/charts/_build/html/code.html @@ -7,6 +7,7 @@ Auto Generated Documentation — VFH Charts 2019-07-16 documentation + @@ -14,6 +15,7 @@ + @@ -242,6 +244,7 @@

Related Topics

diff --git a/charts/_build/html/genindex.html b/charts/_build/html/genindex.html index d99484f..f196877 100644 --- a/charts/_build/html/genindex.html +++ b/charts/_build/html/genindex.html @@ -8,6 +8,7 @@ Index — VFH Charts 2019-07-16 documentation + diff --git a/charts/_build/html/index.html b/charts/_build/html/index.html index 101c296..f90d159 100644 --- a/charts/_build/html/index.html +++ b/charts/_build/html/index.html @@ -7,6 +7,7 @@ Repeatable Information Charts Kit README — VFH Charts 2019-07-16 documentation + @@ -36,6 +37,9 @@

Repeatable Information Charts Kit READMEContents:

 diff --git a/charts/_build/html/objects.inv b/charts/_build/html/objects.inv index 6297b8847e4e460f5c339a5628ffff745c36e500..48d644b2bb4b20d36cf392d4959a6db603ca5050 100644 GIT binary patch delta 610 zcmV-o0-gPf1JnhOeSfW#L2sil5QXpj3QO(P+3mHrZd+B=ZltQa(jJjxCV*mWWE(a4 z_v^tx2?677dkQh%ym@ivjV}3t)Ti4@WsLyxop6=Grm&T`@<;TV&_p|G!waUZL6{3> z47nMx6KJzzI&B|YZLo#Pf;=yT(kiW39a$hs2_NcUEaL~rK7UkW)mtR5glhE4)$EnD zYe*wGBKT=bCFiLe)QXNHHl-0vW^2xow3Y`j)>xIokyW(-^R1K_9Eq{nZKgP(H)Q5@ zTT7mp5TH*)?a6(6ofD;6D4V)DSr+RFulK{DtVYO$E{yCppOXnGsU45ec3$M5J>(Vziz%(z; zEBsma2m1FfEQiF@#WBr=PS39Kyml#4S6ED4F-3w7#g|E&?~)FIs!ySgXSrKwN)e(C zqE735GDD5W$%`;B4QkNH2u4HGOowc>$&K(cBs^#YDReN}0-@%8&?EYfcS6uY2cnD1 z)e$m-8(Sj6NWVyeCLDwYW_HbjgN3EDU}RzKELk!+9dPQ!FBjBcEK_e%D3*O`dV0}7 wjA)#NFUwKL(j-uk);^J?keNPIkuE+Rs*smax+3lTcdSA-x_r^(A65BVV_>W**Z=?k delta 279 zcmV+y0qFkJ1&afaeSejb!D_=W42JJ{3c+?w*si^mwTvGTftV?`u2B54P7BAnw**h1SX0%Cvk$pcK0;Z9fvQxCL1KcH#Temv!v2G* z8pD3Pj@~3K>#MwKEeGB^>~0iTF zYOyAp#OG=@*raRmi~S@_h#hr=g7vVP8-L*7Mss+{tN3OFcI)M8yDo-hy%5)(%5x+8 dZS$Jv;7Ax$`w&-=YZ?B?{da7r_y%uu6uPython Module Index — VFH Charts 2019-07-16 documentation + diff --git a/charts/_build/html/search.html b/charts/_build/html/search.html index cb04732..0147877 100644 --- a/charts/_build/html/search.html +++ b/charts/_build/html/search.html @@ -7,6 +7,7 @@ Search — VFH Charts 2019-07-16 documentation + diff --git a/charts/_build/html/searchindex.js b/charts/_build/html/searchindex.js index abe3a93..08febb8 100644 --- a/charts/_build/html/searchindex.js +++ b/charts/_build/html/searchindex.js @@ -1 +1 @@ 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zSy@?@9bQktR}V`Qa-&Z3ZMOllig)$H1x{CN3nJ#+w!3V9 z4UMP^UPNmXl2Oju0ZgZNE&!em4x5Ab6*=m9Pq4dVwH^XMD2m(30I7T)HXyh;!Afwf znIs@2v_KI3wy)CA(`#QX0+V2KhyZ_DFKlLTT47;f<&~8X)e!MM + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_bar_thumb.png + + :ref:`sphx_glr_auto_examples_plot_bar.py` + +.. raw:: html + + + + +.. toctree:: + :hidden: + + /auto_examples/plot_bar + +.. raw:: html + +
+ +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_tow_thumb.png + + :ref:`sphx_glr_auto_examples_plot_tow.py` + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/plot_tow + +.. raw:: html + +
+ +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_stacked_thumb.png + + :ref:`sphx_glr_auto_examples_plot_stacked.py` + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/plot_stacked + +.. raw:: html + +
+ +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_chloropleth_thumb.png + + :ref:`sphx_glr_auto_examples_plot_chloropleth.py` + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/plot_chloropleth + +.. raw:: html + +
+ +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_line_thumb.png + + :ref:`sphx_glr_auto_examples_plot_line.py` + +.. raw:: html + +
+ + +.. toctree:: + :hidden: + + /auto_examples/plot_line +.. raw:: html + +
+ + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-gallery + + + .. container:: sphx-glr-download + + :download:`Download all examples in Python source code: auto_examples_python.zip ` + + + + .. container:: sphx-glr-download + + :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/auto_examples/plot_bar.ipynb b/charts/auto_examples/plot_bar.ipynb new file mode 100644 index 0000000..49fc786 --- /dev/null +++ b/charts/auto_examples/plot_bar.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nBar Chart\n==================\n\nMakes an example of a bar chart.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\npass_data = {'cat': ['PTC','Taxi', 'Trip Making Population'],\n 'TTC Pass': [22,16,16],\n }\n\ntransit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])\ntransit_pass = transit_pass .reindex(index=transit_pass .index[::-1])\n\nfig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/charts/auto_examples/plot_bar.py b/charts/auto_examples/plot_bar.py new file mode 100644 index 0000000..62f6148 --- /dev/null +++ b/charts/auto_examples/plot_bar.py @@ -0,0 +1,37 @@ +""" +Bar Chart +================== + +Makes an example of a bar chart. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +pass_data = {'cat': ['PTC','Taxi', 'Trip Making Population'], + 'TTC Pass': [22,16,16], + } + +transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass']) +transit_pass = transit_pass .reindex(index=transit_pass .index[::-1]) + +fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips') \ No newline at end of file diff --git a/charts/auto_examples/plot_bar.py.md5 b/charts/auto_examples/plot_bar.py.md5 new file mode 100644 index 0000000..9f82614 --- /dev/null +++ b/charts/auto_examples/plot_bar.py.md5 @@ -0,0 +1 @@ +bf7ec32d6827f57ae5f693959a8843be \ No newline at end of file diff --git a/charts/auto_examples/plot_bar.rst b/charts/auto_examples/plot_bar.rst new file mode 100644 index 0000000..ba53335 --- /dev/null +++ b/charts/auto_examples/plot_bar.rst @@ -0,0 +1,88 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_bar.py: + + +Bar Chart +================== + +Makes an example of a bar chart. + + + +.. image:: /auto_examples/images/sphx_glr_plot_bar_001.png + :class: sphx-glr-single-img + + + + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + pass_data = {'cat': ['PTC','Taxi', 'Trip Making Population'], + 'TTC Pass': [22,16,16], + } + + transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass']) + transit_pass = transit_pass .reindex(index=transit_pass .index[::-1]) + + fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips') + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 2.632 seconds) + + +.. _sphx_glr_download_auto_examples_plot_bar.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_bar.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_bar.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/auto_examples/plot_chloropleth.ipynb b/charts/auto_examples/plot_chloropleth.ipynb new file mode 100644 index 0000000..6ca3186 --- /dev/null +++ b/charts/auto_examples/plot_chloropleth.ipynb @@ -0,0 +1,126 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nChloropleth Map\n==================\n\nMakes an example of a chloropleth map.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "query = '''\n\nWITH sum AS (\nSELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, \nsum(count) as count FROM ptc.trip_data_agg_neighbourhood\nGROUP BY pickup_datetime, pickup_neighbourhood\n\n), ward1 AS (\n\nSELECT avg(count) as count, pickup_neighbourhood from sum\nWHERE (yr=2018 AND mon IN (9))\nGROUP BY pickup_neighbourhood\nORDER BY count\n), ward2 AS (\n\nSELECT avg(count) as count, pickup_neighbourhood from sum\nWHERE (yr=2016 AND mon IN (10))\nGROUP BY pickup_neighbourhood\nORDER BY count\n)\n\nSELECT pickup_neighbourhood, geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a \nLEFT JOIN ward1 b USING ( pickup_neighbourhood)\nLEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood\n\n'''" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Rotates data 17 degrees to orient Toronto perpendicularly\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')\ndata = data.to_crs({'init' :'epsg:3857'})\n\nfor index, row in data.iterrows():\n rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))\n data.at[index, 'geom'] = rotated" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The function only needs these columns, in this order\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "data=data[['geom', 'growth']]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calls the Function\n\n\n\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', \n island = False, unit = '%', nbins = 3)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/charts/auto_examples/plot_chloropleth.py b/charts/auto_examples/plot_chloropleth.py new file mode 100644 index 0000000..600cdce --- /dev/null +++ b/charts/auto_examples/plot_chloropleth.py @@ -0,0 +1,86 @@ +""" +Chloropleth Map +================== + +Makes an example of a chloropleth map. +""" + + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) + +################################ +#Data Collection +#---------------- +# +#This Section grabs and formats the data. +query = ''' + +WITH sum AS ( +SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, +sum(count) as count FROM ptc.trip_data_agg_neighbourhood +GROUP BY pickup_datetime, pickup_neighbourhood + +), ward1 AS ( + +SELECT avg(count) as count, pickup_neighbourhood from sum +WHERE (yr=2018 AND mon IN (9)) +GROUP BY pickup_neighbourhood +ORDER BY count +), ward2 AS ( + +SELECT avg(count) as count, pickup_neighbourhood from sum +WHERE (yr=2016 AND mon IN (10)) +GROUP BY pickup_neighbourhood +ORDER BY count +) + +SELECT pickup_neighbourhood, geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a +LEFT JOIN ward1 b USING ( pickup_neighbourhood) +LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood + +''' +################################ +# Rotates data 17 degrees to orient Toronto perpendicularly +data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom') +data = data.to_crs({'init' :'epsg:3857'}) + +for index, row in data.iterrows(): + rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) + data.at[index, 'geom'] = rotated + +################################ +#The function only needs these columns, in this order +data=data[['geom', 'growth']] + + +################################ +# Calls the Function +# +# +# +fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', + island = False, unit = '%', nbins = 3) + diff --git a/charts/auto_examples/plot_chloropleth.py.md5 b/charts/auto_examples/plot_chloropleth.py.md5 new file mode 100644 index 0000000..505f194 --- /dev/null +++ b/charts/auto_examples/plot_chloropleth.py.md5 @@ -0,0 +1 @@ +ac70101036e76be6fb6fecd1270b730b \ No newline at end of file diff --git a/charts/auto_examples/plot_chloropleth.rst b/charts/auto_examples/plot_chloropleth.rst new file mode 100644 index 0000000..afc09fb --- /dev/null +++ b/charts/auto_examples/plot_chloropleth.rst @@ -0,0 +1,174 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_chloropleth.py: + + +Chloropleth Map +================== + +Makes an example of a chloropleth map. + + +.. code-block:: default + + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + + + + + + +Data Collection +---------------- + +This Section grabs and formats the data. + + +.. code-block:: default + + query = ''' + + WITH sum AS ( + SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, + sum(count) as count FROM ptc.trip_data_agg_neighbourhood + GROUP BY pickup_datetime, pickup_neighbourhood + + ), ward1 AS ( + + SELECT avg(count) as count, pickup_neighbourhood from sum + WHERE (yr=2018 AND mon IN (9)) + GROUP BY pickup_neighbourhood + ORDER BY count + ), ward2 AS ( + + SELECT avg(count) as count, pickup_neighbourhood from sum + WHERE (yr=2016 AND mon IN (10)) + GROUP BY pickup_neighbourhood + ORDER BY count + ) + + SELECT pickup_neighbourhood, geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a + LEFT JOIN ward1 b USING ( pickup_neighbourhood) + LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood + + ''' + + + + + + +Rotates data 17 degrees to orient Toronto perpendicularly + + +.. code-block:: default + + data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom') + data = data.to_crs({'init' :'epsg:3857'}) + + for index, row in data.iterrows(): + rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) + data.at[index, 'geom'] = rotated + + + + + + + +The function only needs these columns, in this order + + +.. code-block:: default + + data=data[['geom', 'growth']] + + + + + + + + +Calls the Function + + + + + +.. code-block:: default + + fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', + island = False, unit = '%', nbins = 3) + + + + +.. image:: /auto_examples/images/sphx_glr_plot_chloropleth_001.png + :class: sphx-glr-single-img + + + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 18.050 seconds) + + +.. _sphx_glr_download_auto_examples_plot_chloropleth.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_chloropleth.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_chloropleth.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/auto_examples/plot_line.ipynb b/charts/auto_examples/plot_line.ipynb new file mode 100644 index 0000000..4096056 --- /dev/null +++ b/charts/auto_examples/plot_line.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nLine Chart\n==================\n\nMakes an example of a line chart, with an additional baseline plot and custom formatted x axis.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)\n\nquery='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS (\nSELECT extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount FROM total\n'''\ntotal=pandasql.read_sql(query, con)\n\nquery='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS (\nSELECT extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount/2 as count FROM total\n'''\ntotal2=pandasql.read_sql(query, con)\n\nfig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])\n\n\nfig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n verticalalignment='top', ha = 'center', bbox=props, color = '#660159')\n\nmonth_lst2 = ['Sept\\n2016', 'Jan\\n2017', 'May', 'Sept',\n 'Jan\\n2018', 'May', 'Sept', \n 'Jan\\n2019','May',]\nplt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/charts/auto_examples/plot_line.py b/charts/auto_examples/plot_line.py new file mode 100644 index 0000000..b060965 --- /dev/null +++ b/charts/auto_examples/plot_line.py @@ -0,0 +1,95 @@ +""" +Line Chart +================== + +Makes an example of a line chart, with an additional baseline plot and custom formatted x axis. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) + +query=''' +WITH daily_ave AS ( + +SELECT * FROM ptc.daily_trips +), total AS ( +SELECT extract(month from pickup_datetime) as mon, +extract(year from pickup_datetime) as yr, + +CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 +WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE +avg(count)::integer END as count FROM daily_ave +GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) +ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) +) + + +SELECT +CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') +END AS period, +count FROM total +''' +total=pandasql.read_sql(query, con) + +query=''' +WITH daily_ave AS ( + +SELECT * FROM ptc.daily_trips +), total AS ( +SELECT extract(month from pickup_datetime) as mon, +extract(year from pickup_datetime) as yr, + +CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 +WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE +avg(count)::integer END as count FROM daily_ave +GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) +ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) +) + + +SELECT +CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') +END AS period, +count/2 as count FROM total +''' +total2=pandasql.read_sql(query, con) + +fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count']) + + +fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', + verticalalignment='top', ha = 'center', bbox=props, color = '#660159') + +month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', + 'Jan\n2018', 'May', 'Sept', + 'Jan\n2019','May',] +plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin') + diff --git a/charts/auto_examples/plot_line.py.md5 b/charts/auto_examples/plot_line.py.md5 new file mode 100644 index 0000000..e5d8ad0 --- /dev/null +++ b/charts/auto_examples/plot_line.py.md5 @@ -0,0 +1 @@ +d4c5d51f8bb857f382ce307f8ed01358 \ No newline at end of file diff --git a/charts/auto_examples/plot_line.rst b/charts/auto_examples/plot_line.rst new file mode 100644 index 0000000..d22308d --- /dev/null +++ b/charts/auto_examples/plot_line.rst @@ -0,0 +1,147 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_line.py: + + +Line Chart +================== + +Makes an example of a line chart, with an additional baseline plot and custom formatted x axis. + + + +.. image:: /auto_examples/images/sphx_glr_plot_line_001.png + :class: sphx-glr-single-img + + + + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + query=''' + WITH daily_ave AS ( + + SELECT * FROM ptc.daily_trips + ), total AS ( + SELECT extract(month from pickup_datetime) as mon, + extract(year from pickup_datetime) as yr, + + CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 + WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE + avg(count)::integer END as count FROM daily_ave + GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) + ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) + ) + + + SELECT + CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') + END AS period, + count FROM total + ''' + total=pandasql.read_sql(query, con) + + query=''' + WITH daily_ave AS ( + + SELECT * FROM ptc.daily_trips + ), total AS ( + SELECT extract(month from pickup_datetime) as mon, + extract(year from pickup_datetime) as yr, + + CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 + WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE + avg(count)::integer END as count FROM daily_ave + GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) + ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) + ) + + + SELECT + CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') + END AS period, + count/2 as count FROM total + ''' + total2=pandasql.read_sql(query, con) + + fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count']) + + + fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', + verticalalignment='top', ha = 'center', bbox=props, color = '#660159') + + month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', + 'Jan\n2018', 'May', 'Sept', + 'Jan\n2019','May',] + plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin') + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 3.376 seconds) + + +.. _sphx_glr_download_auto_examples_plot_line.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_line.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_line.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/auto_examples/plot_stacked.ipynb b/charts/auto_examples/plot_stacked.ipynb new file mode 100644 index 0000000..29d62d1 --- /dev/null +++ b/charts/auto_examples/plot_stacked.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nStacked Bar Chart\n==================\n\nMakes an example of a stacked bar chart.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)\n\nquery = ''' \n\nWITH sum AS (\n\nSELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\nLEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n\nWHERE pickup_datetime > '2016-09-30'\nGROUP BY pickup_datetime, area_name\n), collect AS (\nSELECT area_name, avg(count) as count, mon, yr from sum\ngroup by area_name, mon, yr)\n\n,tot1 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2016 AND mon IN (10))\nGROUP BY area_name\n), tot2 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2018 AND mon IN (9)) \nGROUP BY area_name\n)\nSELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\nb.count as count1, a.count as count2 FROM tot1 b\nLEFT JOIN tot2 a USING (area_name)\nORDER BY count1 ASC\n'''\n\ndistrict_cond = pandasql.read_sql(query, con)\n\nfig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/charts/auto_examples/plot_stacked.py b/charts/auto_examples/plot_stacked.py new file mode 100644 index 0000000..ea5cf8f --- /dev/null +++ b/charts/auto_examples/plot_stacked.py @@ -0,0 +1,67 @@ +""" +Stacked Bar Chart +================== + +Makes an example of a stacked bar chart. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) + +query = ''' + +WITH sum AS ( + +SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25 +LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short + +WHERE pickup_datetime > '2016-09-30' +GROUP BY pickup_datetime, area_name +), collect AS ( +SELECT area_name, avg(count) as count, mon, yr from sum +group by area_name, mon, yr) + +,tot1 AS ( + +SELECT area_name, avg(count) as count FROM collect +WHERE (yr =2016 AND mon IN (10)) +GROUP BY area_name +), tot2 AS ( + +SELECT area_name, avg(count) as count FROM collect +WHERE (yr =2018 AND mon IN (9)) +GROUP BY area_name +) +SELECT SPLIT_PART(area_name, 'Community', 1) as area_name, +b.count as count1, a.count as count2 FROM tot1 b +LEFT JOIN tot2 a USING (area_name) +ORDER BY count1 ASC +''' + +district_cond = pandasql.read_sql(query, con) + +fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True) \ No newline at end of file diff --git a/charts/auto_examples/plot_stacked.py.md5 b/charts/auto_examples/plot_stacked.py.md5 new file mode 100644 index 0000000..e7c7a3c --- /dev/null +++ b/charts/auto_examples/plot_stacked.py.md5 @@ -0,0 +1 @@ +3ab2bf2f341f6e70806830d186afacda \ No newline at end of file diff --git a/charts/auto_examples/plot_stacked.rst b/charts/auto_examples/plot_stacked.rst new file mode 100644 index 0000000..562b4c9 --- /dev/null +++ b/charts/auto_examples/plot_stacked.rst @@ -0,0 +1,118 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_stacked.py: + + +Stacked Bar Chart +================== + +Makes an example of a stacked bar chart. + + + +.. image:: /auto_examples/images/sphx_glr_plot_stacked_001.png + :class: sphx-glr-single-img + + + + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + query = ''' + + WITH sum AS ( + + SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25 + LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short + + WHERE pickup_datetime > '2016-09-30' + GROUP BY pickup_datetime, area_name + ), collect AS ( + SELECT area_name, avg(count) as count, mon, yr from sum + group by area_name, mon, yr) + + ,tot1 AS ( + + SELECT area_name, avg(count) as count FROM collect + WHERE (yr =2016 AND mon IN (10)) + GROUP BY area_name + ), tot2 AS ( + + SELECT area_name, avg(count) as count FROM collect + WHERE (yr =2018 AND mon IN (9)) + GROUP BY area_name + ) + SELECT SPLIT_PART(area_name, 'Community', 1) as area_name, + b.count as count1, a.count as count2 FROM tot1 b + LEFT JOIN tot2 a USING (area_name) + ORDER BY count1 ASC + ''' + + district_cond = pandasql.read_sql(query, con) + + fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True) + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 2.260 seconds) + + +.. _sphx_glr_download_auto_examples_plot_stacked.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_stacked.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_stacked.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/auto_examples/plot_tow.ipynb b/charts/auto_examples/plot_tow.ipynb new file mode 100644 index 0000000..93c5c98 --- /dev/null +++ b/charts/auto_examples/plot_tow.ipynb @@ -0,0 +1,54 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nTime of Week Chart\n==================\n\nMakes an example of a time of week chart.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)\n\nquery = '''\n\nWITH sum AS (\n\nSELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,\nextract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25\n\n\nWHERE pickup_datetime > '2018-08-31'\nGROUP BY pickup_datetime, hr\n\n)\n, collect AS (\nSELECT avg(count) as count, hr, dow from sum\ngroup by hr, dow)\n\nSELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, \nCASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch\nFROM collect\nLEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr\nLEFT JOIN ptc.periods_simple USING (period_uid)\nORDER BY dow, hr\n\n'''\ncount_18 = pandasql.read_sql(query,con)\n\nfig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/charts/auto_examples/plot_tow.py b/charts/auto_examples/plot_tow.py new file mode 100644 index 0000000..dc0ba20 --- /dev/null +++ b/charts/auto_examples/plot_tow.py @@ -0,0 +1,61 @@ +""" +Time of Week Chart +================== + +Makes an example of a time of week chart. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) + +query = ''' + +WITH sum AS ( + +SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, +extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25 + + +WHERE pickup_datetime > '2018-08-31' +GROUP BY pickup_datetime, hr + +) +, collect AS ( +SELECT avg(count) as count, hr, dow from sum +group by hr, dow) + +SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, +CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch +FROM collect +LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr +LEFT JOIN ptc.periods_simple USING (period_uid) +ORDER BY dow, hr + +''' +count_18 = pandasql.read_sql(query,con) + +fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500) \ No newline at end of file diff --git a/charts/auto_examples/plot_tow.py.md5 b/charts/auto_examples/plot_tow.py.md5 new file mode 100644 index 0000000..058b263 --- /dev/null +++ b/charts/auto_examples/plot_tow.py.md5 @@ -0,0 +1 @@ +dff01a3549e75fc179cda6fa165c526f \ No newline at end of file diff --git a/charts/auto_examples/plot_tow.rst b/charts/auto_examples/plot_tow.rst new file mode 100644 index 0000000..96ed8c2 --- /dev/null +++ b/charts/auto_examples/plot_tow.rst @@ -0,0 +1,112 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_tow.py: + + +Time of Week Chart +================== + +Makes an example of a time of week chart. + + + +.. image:: /auto_examples/images/sphx_glr_plot_tow_001.png + :class: sphx-glr-single-img + + + + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + query = ''' + + WITH sum AS ( + + SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, + extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25 + + + WHERE pickup_datetime > '2018-08-31' + GROUP BY pickup_datetime, hr + + ) + , collect AS ( + SELECT avg(count) as count, hr, dow from sum + group by hr, dow) + + SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, + CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch + FROM collect + LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr + LEFT JOIN ptc.periods_simple USING (period_uid) + ORDER BY dow, hr + + ''' + count_18 = pandasql.read_sql(query,con) + + fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500) + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 3.390 seconds) + + +.. _sphx_glr_download_auto_examples_plot_tow.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_tow.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_tow.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/auto_examples/sg_execution_times.rst b/charts/auto_examples/sg_execution_times.rst new file mode 100644 index 0000000..e3180e8 --- /dev/null +++ b/charts/auto_examples/sg_execution_times.rst @@ -0,0 +1,14 @@ + +:orphan: + +.. _sphx_glr_auto_examples_sg_execution_times: + +Computation times +================= +**00:03.390** total execution time for **auto_examples** files: + +- **00:03.390**: :ref:`sphx_glr_auto_examples_plot_tow.py` (``plot_tow.py``) +- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_bar.py` (``plot_bar.py``) +- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_chloropleth.py` (``plot_chloropleth.py``) +- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_line.py` (``plot_line.py``) +- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_stacked.py` (``plot_stacked.py``) diff --git a/charts/conf.py b/charts/conf.py index f847626..9a284ea 100644 --- a/charts/conf.py +++ b/charts/conf.py @@ -33,7 +33,12 @@ # ones. extensions = ['sphinx.ext.autodoc', 'sphinx.ext.doctest', - 'sphinx.ext.viewcode', 'sphinx.ext.coverage', 'sphinx.ext.napoleon'] + 'sphinx.ext.viewcode', 'sphinx.ext.coverage', 'sphinx.ext.napoleon', 'sphinx_gallery.gen_gallery'] + +sphinx_gallery_conf = { + 'examples_dirs': 'example', # path to your example scripts + 'gallery_dirs': 'auto_examples', # path where to save gallery generated examples +} # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] diff --git a/charts/example/README.txt b/charts/example/README.txt new file mode 100644 index 0000000..ca994dd --- /dev/null +++ b/charts/example/README.txt @@ -0,0 +1,4 @@ +Gallery of Charts +================== + +Below is a gallery of example charts for each charting function in rick.charts. \ No newline at end of file diff --git a/charts/example/plot_bar.py b/charts/example/plot_bar.py new file mode 100644 index 0000000..62f6148 --- /dev/null +++ b/charts/example/plot_bar.py @@ -0,0 +1,37 @@ +""" +Bar Chart +================== + +Makes an example of a bar chart. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +pass_data = {'cat': ['PTC','Taxi', 'Trip Making Population'], + 'TTC Pass': [22,16,16], + } + +transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass']) +transit_pass = transit_pass .reindex(index=transit_pass .index[::-1]) + +fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips') \ No newline at end of file diff --git a/charts/example/plot_chloropleth.py b/charts/example/plot_chloropleth.py new file mode 100644 index 0000000..600cdce --- /dev/null +++ b/charts/example/plot_chloropleth.py @@ -0,0 +1,86 @@ +""" +Chloropleth Map +================== + +Makes an example of a chloropleth map. +""" + + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) + +################################ +#Data Collection +#---------------- +# +#This Section grabs and formats the data. +query = ''' + +WITH sum AS ( +SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, +sum(count) as count FROM ptc.trip_data_agg_neighbourhood +GROUP BY pickup_datetime, pickup_neighbourhood + +), ward1 AS ( + +SELECT avg(count) as count, pickup_neighbourhood from sum +WHERE (yr=2018 AND mon IN (9)) +GROUP BY pickup_neighbourhood +ORDER BY count +), ward2 AS ( + +SELECT avg(count) as count, pickup_neighbourhood from sum +WHERE (yr=2016 AND mon IN (10)) +GROUP BY pickup_neighbourhood +ORDER BY count +) + +SELECT pickup_neighbourhood, geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a +LEFT JOIN ward1 b USING ( pickup_neighbourhood) +LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood + +''' +################################ +# Rotates data 17 degrees to orient Toronto perpendicularly +data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom') +data = data.to_crs({'init' :'epsg:3857'}) + +for index, row in data.iterrows(): + rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) + data.at[index, 'geom'] = rotated + +################################ +#The function only needs these columns, in this order +data=data[['geom', 'growth']] + + +################################ +# Calls the Function +# +# +# +fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', + island = False, unit = '%', nbins = 3) + diff --git a/charts/example/plot_line.py b/charts/example/plot_line.py new file mode 100644 index 0000000..b060965 --- /dev/null +++ b/charts/example/plot_line.py @@ -0,0 +1,95 @@ +""" +Line Chart +================== + +Makes an example of a line chart, with an additional baseline plot and custom formatted x axis. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) + +query=''' +WITH daily_ave AS ( + +SELECT * FROM ptc.daily_trips +), total AS ( +SELECT extract(month from pickup_datetime) as mon, +extract(year from pickup_datetime) as yr, + +CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 +WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE +avg(count)::integer END as count FROM daily_ave +GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) +ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) +) + + +SELECT +CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') +END AS period, +count FROM total +''' +total=pandasql.read_sql(query, con) + +query=''' +WITH daily_ave AS ( + +SELECT * FROM ptc.daily_trips +), total AS ( +SELECT extract(month from pickup_datetime) as mon, +extract(year from pickup_datetime) as yr, + +CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 +WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE +avg(count)::integer END as count FROM daily_ave +GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) +ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) +) + + +SELECT +CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') +END AS period, +count/2 as count FROM total +''' +total2=pandasql.read_sql(query, con) + +fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count']) + + +fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', + verticalalignment='top', ha = 'center', bbox=props, color = '#660159') + +month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', + 'Jan\n2018', 'May', 'Sept', + 'Jan\n2019','May',] +plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin') + diff --git a/charts/example/plot_stacked.py b/charts/example/plot_stacked.py new file mode 100644 index 0000000..ea5cf8f --- /dev/null +++ b/charts/example/plot_stacked.py @@ -0,0 +1,67 @@ +""" +Stacked Bar Chart +================== + +Makes an example of a stacked bar chart. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) + +query = ''' + +WITH sum AS ( + +SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25 +LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short + +WHERE pickup_datetime > '2016-09-30' +GROUP BY pickup_datetime, area_name +), collect AS ( +SELECT area_name, avg(count) as count, mon, yr from sum +group by area_name, mon, yr) + +,tot1 AS ( + +SELECT area_name, avg(count) as count FROM collect +WHERE (yr =2016 AND mon IN (10)) +GROUP BY area_name +), tot2 AS ( + +SELECT area_name, avg(count) as count FROM collect +WHERE (yr =2018 AND mon IN (9)) +GROUP BY area_name +) +SELECT SPLIT_PART(area_name, 'Community', 1) as area_name, +b.count as count1, a.count as count2 FROM tot1 b +LEFT JOIN tot2 a USING (area_name) +ORDER BY count1 ASC +''' + +district_cond = pandasql.read_sql(query, con) + +fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True) \ No newline at end of file diff --git a/charts/example/plot_tow.py b/charts/example/plot_tow.py new file mode 100644 index 0000000..dc0ba20 --- /dev/null +++ b/charts/example/plot_tow.py @@ -0,0 +1,61 @@ +""" +Time of Week Chart +================== + +Makes an example of a time of week chart. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) + +query = ''' + +WITH sum AS ( + +SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, +extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25 + + +WHERE pickup_datetime > '2018-08-31' +GROUP BY pickup_datetime, hr + +) +, collect AS ( +SELECT avg(count) as count, hr, dow from sum +group by hr, dow) + +SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, +CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch +FROM collect +LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr +LEFT JOIN ptc.periods_simple USING (period_uid) +ORDER BY dow, hr + +''' +count_18 = pandasql.read_sql(query,con) + +fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500) \ No newline at end of file diff --git a/charts/index.rst b/charts/index.rst index e8c1426..9bde69a 100644 --- a/charts/index.rst +++ b/charts/index.rst @@ -4,15 +4,16 @@ contain the root `toctree` directive. Repeatable Information Charts Kit README -====================================== +========================================== This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions. .. toctree:: :maxdepth: 2 :caption: Contents: - + code + auto_examples/index diff --git a/charts/make b/charts/make new file mode 100644 index 0000000..efcea11 --- /dev/null +++ b/charts/make @@ -0,0 +1,38 @@ +Running Sphinx v2.1.2 +loading pickled environment... done +generating gallery... +generating gallery for auto_examples... [ 50%] plot_chloropleth.py generating gallery for auto_examples... [100%] plot_line.py +computation time summary: + - example\plot_line.py: 0 sec + - example\plot_chloropleth.py: 0 sec +building [mo]: targets for 0 po files that are out of date +building [html]: targets for 0 source files that are out of date +updating environment: [] 0 added, 2 changed, 0 removed +reading sources... [ 50%] auto_examples/index reading sources... [100%] auto_examples/plot_chloropleth +looking for now-outdated files... none found +pickling environment... done +checking consistency... done +preparing documents... done +writing output... [ 33%] auto_examples/index writing output... [ 66%] auto_examples/plot_chloropleth writing output... [100%] index +generating indices... genindex py-modindex +highlighting module code... [100%] rick +writing additional pages... search +copying images... [ 33%] auto_examples/images/thumb/sphx_glr_plot_chloropleth_thumb.png copying images... [ 66%] auto_examples/images/thumb/sphx_glr_plot_line_thumb.png copying images... [100%] auto_examples/images/sphx_glr_plot_chloropleth_001.png +copying downloadable files... [ 16%] auto_examples/plot_line.py copying downloadable files... [ 33%] auto_examples/plot_line.ipynb copying downloadable files... [ 50%] auto_examples/auto_examples_python.zip copying downloadable files... [ 66%] auto_examples/auto_examples_jupyter.zip copying downloadable files... [ 83%] auto_examples/plot_chloropleth.py copying downloadable files... [100%] auto_examples/plot_chloropleth.ipynb +copying static files... done +copying extra files... done +dumping search index in English (code: en) ... done +dumping object inventory... done +build succeeded. + +The HTML pages are in _build\html. + +Sphinx-gallery successfully executed 0 out of 0 files subselected by: + + gallery_conf["filename_pattern"] = '\\\\plot' + gallery_conf["ignore_pattern"] = '__init__\\.py' + +after excluding 2 files that had previously been run (based on MD5). + +embedding documentation hyperlinks... +embedding documentation hyperlinks for auto_examples... [ 25%] index.html embedding documentation hyperlinks for auto_examples... [ 50%] plot_chloropleth.html embedding documentation hyperlinks for auto_examples... [ 75%] plot_line.html embedding documentation hyperlinks for auto_examples... [100%] sg_execution_times.html diff --git a/charts/rick.py b/charts/rick.py index 17fa205..44a8fea 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -382,7 +382,7 @@ def tow_chart(data, ylab, **kwargs): props = dict(boxstyle='round, pad=0.3',edgecolor=colour.purple, linewidth = 1.5, facecolor = 'w', alpha=1) ax.set_xlim([0,167]) - return fig, ax, prop + return fig, ax, props def stacked_chart(data_in, xlab, lab1, lab2, **kwargs): """Creates a stacked bar chart comparing 2 sets of data From b9f8cd5d6d57837f5bdc68f6f0c17688692d2600 Mon Sep 17 00:00:00 2001 From: rickl4 <38917106+rickl4@users.noreply.github.com> Date: Fri, 26 Jul 2019 16:38:34 -0400 Subject: [PATCH 21/31] added cells to examples --- .../doctrees/auto_examples/plot_bar.doctree | Bin 9194 -> 9832 bytes .../doctrees/auto_examples/plot_line.doctree | Bin 13759 -> 15472 bytes .../auto_examples/plot_stacked.doctree | Bin 11056 -> 11701 bytes .../doctrees/auto_examples/plot_tow.doctree | Bin 10612 -> 11257 bytes .../auto_examples/sg_execution_times.doctree | Bin 7920 -> 7920 bytes charts/_build/doctrees/environment.pickle | Bin 47369 -> 49437 bytes .../plot_line.py | 15 +++- .../plot_stacked.ipynb | 20 ++++- .../auto_examples_python.zip | Bin 10909 -> 11558 bytes .../plot_tow.ipynb | 20 ++++- .../auto_examples_jupyter.zip | Bin 17236 -> 19758 bytes .../plot_bar.ipynb | 20 ++++- .../plot_bar.py | 6 +- .../plot_tow.py | 6 +- .../plot_line.ipynb | 74 +++++++++++++++++- .../plot_stacked.py | 6 +- .../html/_images/sphx_glr_plot_line_001.png | Bin 21671 -> 18961 bytes .../html/_images/sphx_glr_plot_line_002.png | Bin 0 -> 11667 bytes .../html/_images/sphx_glr_plot_line_thumb.png | Bin 22253 -> 17622 bytes .../_sources/auto_examples/plot_bar.rst.txt | 31 +++++--- .../_sources/auto_examples/plot_line.rst.txt | 68 +++++++++++++--- .../auto_examples/plot_stacked.rst.txt | 31 +++++--- .../_sources/auto_examples/plot_tow.rst.txt | 31 +++++--- .../auto_examples/sg_execution_times.rst.txt | 10 +-- .../_build/html/auto_examples/plot_bar.html | 14 ++-- .../_build/html/auto_examples/plot_line.html | 33 +++++--- .../html/auto_examples/plot_stacked.html | 13 ++- .../_build/html/auto_examples/plot_tow.html | 13 ++- .../auto_examples/sg_execution_times.html | 10 +-- charts/_build/html/searchindex.js | 2 +- .../auto_examples/auto_examples_jupyter.zip | Bin 17236 -> 19758 bytes charts/auto_examples/auto_examples_python.zip | Bin 10909 -> 11558 bytes .../images/sphx_glr_plot_line_001.png | Bin 21671 -> 18961 bytes .../images/sphx_glr_plot_line_002.png | Bin 0 -> 11667 bytes .../images/thumb/sphx_glr_plot_line_thumb.png | Bin 22253 -> 17622 bytes charts/auto_examples/plot_bar.ipynb | 20 ++++- charts/auto_examples/plot_bar.py | 6 +- charts/auto_examples/plot_bar.py.md5 | 2 +- charts/auto_examples/plot_bar.rst | 31 +++++--- charts/auto_examples/plot_line.ipynb | 74 +++++++++++++++++- charts/auto_examples/plot_line.py | 15 +++- charts/auto_examples/plot_line.py.md5 | 2 +- charts/auto_examples/plot_line.rst | 68 +++++++++++++--- charts/auto_examples/plot_stacked.ipynb | 20 ++++- charts/auto_examples/plot_stacked.py | 6 +- charts/auto_examples/plot_stacked.py.md5 | 2 +- charts/auto_examples/plot_stacked.rst | 31 +++++--- charts/auto_examples/plot_tow.ipynb | 20 ++++- charts/auto_examples/plot_tow.py | 6 +- charts/auto_examples/plot_tow.py.md5 | 2 +- charts/auto_examples/plot_tow.rst | 31 +++++--- charts/auto_examples/sg_execution_times.rst | 10 +-- charts/example/plot_bar.py | 6 +- charts/example/plot_line.py | 15 +++- charts/example/plot_stacked.py | 6 +- charts/example/plot_tow.py | 6 +- 56 files changed, 663 insertions(+), 139 deletions(-) create mode 100644 charts/_build/html/_images/sphx_glr_plot_line_002.png create mode 100644 charts/auto_examples/images/sphx_glr_plot_line_002.png diff --git a/charts/_build/doctrees/auto_examples/plot_bar.doctree b/charts/_build/doctrees/auto_examples/plot_bar.doctree index 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+################################ +#Data Collection +#---------------- +# +#This Section grabs and formats the data. query=''' WITH daily_ave AS ( @@ -56,6 +61,10 @@ count FROM total ''' total=pandasql.read_sql(query, con) +################################ +#Gets the baseline data (to be graphed in grey) + + query=''' WITH daily_ave AS ( @@ -84,10 +93,12 @@ fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count']) - +################################ +#Adds annotations fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', verticalalignment='top', ha = 'center', bbox=props, color = '#660159') - +################################ +#Adds custom x axis month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', 'Jan\n2018', 'May', 'Sept', 'Jan\n2019','May',] diff --git a/charts/_build/html/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb b/charts/_build/html/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb index 29d62d1..1538a15 100644 --- a/charts/_build/html/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb +++ b/charts/_build/html/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb @@ -26,7 +26,25 @@ }, "outputs": [], "source": [ - "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)\n\nquery = ''' \n\nWITH sum AS (\n\nSELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\nLEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n\nWHERE pickup_datetime > '2016-09-30'\nGROUP BY pickup_datetime, area_name\n), collect AS (\nSELECT area_name, avg(count) as count, mon, yr from sum\ngroup by area_name, mon, yr)\n\n,tot1 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2016 AND mon IN (10))\nGROUP BY area_name\n), tot2 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2018 AND mon IN (9)) \nGROUP BY area_name\n)\nSELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\nb.count as count1, a.count as count2 FROM tot1 b\nLEFT JOIN tot2 a USING (area_name)\nORDER BY count1 ASC\n'''\n\ndistrict_cond = pandasql.read_sql(query, con)\n\nfig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)" + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "query = ''' \n\nWITH sum AS (\n\nSELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\nLEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n\nWHERE pickup_datetime > '2016-09-30'\nGROUP BY pickup_datetime, area_name\n), collect AS (\nSELECT area_name, avg(count) as count, mon, yr from sum\ngroup by area_name, mon, yr)\n\n,tot1 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2016 AND mon IN (10))\nGROUP BY area_name\n), tot2 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2018 AND mon IN (9)) \nGROUP BY area_name\n)\nSELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\nb.count as count1, a.count as count2 FROM tot1 b\nLEFT JOIN tot2 a USING (area_name)\nORDER BY count1 ASC\n'''\n\ndistrict_cond = pandasql.read_sql(query, con)\n\nfig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)" ] } ], diff --git a/charts/_build/html/_downloads/31f32a41483cb2a88aa2f260f665b07f/auto_examples_python.zip b/charts/_build/html/_downloads/31f32a41483cb2a88aa2f260f665b07f/auto_examples_python.zip index 6e89fcc2362a57ca6573a769c50f91de82c302a5..f96e527ac1ba1bfdbc3927f20851c3898d86b548 100644 GIT binary patch delta 495 zcmbOmx-3c}z?+#xgaHKBwfyp9*?!`jB?|+CCCf&Mg-nxKd6g&Evg^tx7o{eaq!ueA zDgen6g_OjS#I&Ns+*E~(OTxolA`7?K~r8XW%tyQVug~7RE4C(;?$hXyi~B+3K~FjlTsDZixLYm zQd1N%^MK6MN=;raUarl4qB<-fhY2{QqySx%mzQ6XSdy8aS3J2&@(|2yQJ~pi`Q*~# zlKfnS3Wdaq%;L#5Qm=XU0-YJ^P;+M=I|IYM%_hMf~&DI&oNS-Bza$>ycfEp2WSuAu1v-QuMdtyT$+lXu3aBn+VBkhkv|43ym6j~qGi{J40GpDE AlmGw# delta 328 zcmZ1$H8)fuz?+#xgaHH^TYvibGtLt|#mvBPig}~NLZ;0c%#qxDF)cs+0uFr(c+JDW z@S10HKVJ>=<_4iHAflFeGKbXK$uFc1O};PvnztEff~H$wsy90WgZJj^G6Bq+XDLXt z@HGL&)n@$qFrSTqVLsdD!z#YalWjN@Cht~|+Pqi8l$j6J>Pb4DOrM!2d+R95quR~D z0CWNzY-{A0+^r*Bk76s(W`4K|28L~oveFC;1v&X8@x>*H$=RtXdIgmM-i%Bl3=mJF mI*oyW8%6U}C8*|-{Bp2HR-g|U7+8T&i;;mLRujl!WB>rx>0LGe diff --git a/charts/_build/html/_downloads/380b7dbff02945ad10807fc2f42a3fae/plot_tow.ipynb b/charts/_build/html/_downloads/380b7dbff02945ad10807fc2f42a3fae/plot_tow.ipynb index 93c5c98..f85cbb7 100644 --- a/charts/_build/html/_downloads/380b7dbff02945ad10807fc2f42a3fae/plot_tow.ipynb +++ b/charts/_build/html/_downloads/380b7dbff02945ad10807fc2f42a3fae/plot_tow.ipynb @@ -26,7 +26,25 @@ }, "outputs": [], "source": [ - "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)\n\nquery = '''\n\nWITH sum AS (\n\nSELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,\nextract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25\n\n\nWHERE pickup_datetime > '2018-08-31'\nGROUP BY pickup_datetime, hr\n\n)\n, collect AS (\nSELECT avg(count) as count, hr, dow from sum\ngroup by hr, dow)\n\nSELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, \nCASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch\nFROM collect\nLEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr\nLEFT JOIN ptc.periods_simple USING (period_uid)\nORDER BY dow, hr\n\n'''\ncount_18 = pandasql.read_sql(query,con)\n\nfig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)" + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "query = '''\n\nWITH sum AS (\n\nSELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,\nextract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25\n\n\nWHERE pickup_datetime > '2018-08-31'\nGROUP BY pickup_datetime, hr\n\n)\n, collect AS (\nSELECT avg(count) as count, hr, dow from sum\ngroup by hr, dow)\n\nSELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, \nCASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch\nFROM collect\nLEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr\nLEFT JOIN ptc.periods_simple USING (period_uid)\nORDER BY dow, hr\n\n'''\ncount_18 = pandasql.read_sql(query,con)\n\nfig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)" ] } ], diff --git a/charts/_build/html/_downloads/445cbc804a8295cbf474c4d0c1b0e4b7/auto_examples_jupyter.zip b/charts/_build/html/_downloads/445cbc804a8295cbf474c4d0c1b0e4b7/auto_examples_jupyter.zip index f0fb551ebcde51fed8a75f9cd8c0ea2a10ae255c..f916ef69fa8884bb9df62b4fb1deada0d51df370 100644 GIT binary patch delta 443 zcmcc8#<*@4qeOr=Gm8iV2<&P3<)?kq?@|~i149_+Mv0XylNBxUCcos>l20y5O)N<* zR!CF;k|hc$i6x0?MTxno3MKgprNya}H!z;qe4J&GDBnS#87mdtey52sFrU%*33xOq*ON&eLa}_ES z5-T!6(kC`A)A-B;c3Nl9vNMl(7#JS$Y+kM%2Xa~;<7N><2{yjHK!<009XM(Rlr`ho zY-Jt;l3mESd529TD<5jmOqO@@VQS)>oa>~bfa+le27Yi*LWpgRH>4+Tbdm)tLRihf iAcUeQ+i3DTCj|vm7cemJp(v`gpRDJsz;@poBnkj2W|Y?e delta 325 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    Bar Chart

    Makes an example of a bar chart.

    -../_images/sphx_glr_plot_bar_001.png 
    from sqlalchemy import create_engine
 import matplotlib.pyplot as plt
 import matplotlib as mpl
@@ -59,9 +58,12 @@
 import importlib
 import matplotlib.ticker as ticker
 import matplotlib.font_manager as font_manager
-
-
-pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],
+
    +
    +
    +

    Data Collection

    +

    This creates a test dataframe to use

    +
    pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],
         'TTC Pass': [22,16,16],
         }
 
@@ -71,7 +73,8 @@
 fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')
    -

    Total running time of the script: ( 0 minutes 2.632 seconds)

    +../_images/sphx_glr_plot_bar_001.png +

    Total running time of the script: ( 0 minutes 27.838 seconds)

    Gallery generated by Sphinx-Gallery

    +
    diff --git a/charts/_build/html/auto_examples/plot_line.html b/charts/_build/html/auto_examples/plot_line.html index 1f22a58..e50e557 100644 --- a/charts/_build/html/auto_examples/plot_line.html +++ b/charts/_build/html/auto_examples/plot_line.html @@ -37,7 +37,6 @@

    Line Chart

    Makes an example of a line chart, with an additional baseline plot and custom formatted x axis.

    -../_images/sphx_glr_plot_line_001.png 
    from sqlalchemy import create_engine
 import matplotlib.pyplot as plt
 import matplotlib as mpl
@@ -64,8 +63,12 @@
 CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
 dbset = CONFIG['DBSETTINGS']
 con = connect(**dbset)
-
-query='''
+
    +
    +
    +

    Data Collection

    +

    This Section grabs and formats the data.

    +
    query='''
 WITH daily_ave AS (
 
 SELECT * FROM ptc.daily_trips
@@ -89,8 +92,10 @@
 count FROM total
 '''
 total=pandasql.read_sql(query, con)
-
-query='''
+
    +
    +

    Gets the baseline data (to be graphed in grey)

    +
    query='''
 WITH daily_ave AS (
 
 SELECT * FROM ptc.daily_trips
@@ -116,18 +121,23 @@
 total2=pandasql.read_sql(query, con)
 
 fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])
-
-
-fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
+
    +
    +../_images/sphx_glr_plot_line_001.png +

    Adds annotations

    +
    fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
          verticalalignment='top', ha = 'center', bbox=props, color = '#660159')
-
-month_lst2 = ['Sept\n2016',  'Jan\n2017',  'May',  'Sept',
+
    +
    +

    Adds custom x axis

    +
    month_lst2 = ['Sept\n2016',  'Jan\n2017',  'May',  'Sept',
                'Jan\n2018', 'May',  'Sept',
               'Jan\n2019','May',]
 plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')
    -

    Total running time of the script: ( 0 minutes 3.376 seconds)

    +../_images/sphx_glr_plot_line_002.png +

    Total running time of the script: ( 0 minutes 1.126 seconds)

    Gallery generated by Sphinx-Gallery

    +
    diff --git a/charts/_build/html/auto_examples/plot_stacked.html b/charts/_build/html/auto_examples/plot_stacked.html index 1ff750c..8bac52b 100644 --- a/charts/_build/html/auto_examples/plot_stacked.html +++ b/charts/_build/html/auto_examples/plot_stacked.html @@ -38,7 +38,6 @@

    Stacked Bar Chart

    Makes an example of a stacked bar chart.

    -../_images/sphx_glr_plot_stacked_001.png 
    from sqlalchemy import create_engine
 import matplotlib.pyplot as plt
 import matplotlib as mpl
@@ -65,8 +64,12 @@
 CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
 dbset = CONFIG['DBSETTINGS']
 con = connect(**dbset)
-
-query = '''
+
    +
    +
    +

    Data Collection

    +

    This Section grabs and formats the data.

    +
    query = '''
 
 WITH sum AS (
 
@@ -101,7 +104,8 @@
 fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)
    -

    Total running time of the script: ( 0 minutes 2.260 seconds)

    +../_images/sphx_glr_plot_stacked_001.png +

    Total running time of the script: ( 0 minutes 3.557 seconds)

    Gallery generated by Sphinx-Gallery

    +
    diff --git a/charts/_build/html/auto_examples/plot_tow.html b/charts/_build/html/auto_examples/plot_tow.html index ffc44d9..c689dc2 100644 --- a/charts/_build/html/auto_examples/plot_tow.html +++ b/charts/_build/html/auto_examples/plot_tow.html @@ -38,7 +38,6 @@

    Time of Week Chart

    Makes an example of a time of week chart.

    -../_images/sphx_glr_plot_tow_001.png 
    from sqlalchemy import create_engine
 import matplotlib.pyplot as plt
 import matplotlib as mpl
@@ -65,8 +64,12 @@
 CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
 dbset = CONFIG['DBSETTINGS']
 con = connect(**dbset)
-
-query = '''
+
    +
    +
    +

    Data Collection

    +

    This Section grabs and formats the data.

    +
    query = '''
 
 WITH sum AS (
 
@@ -95,7 +98,8 @@
 fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)
    -

    Total running time of the script: ( 0 minutes 3.390 seconds)

    +../_images/sphx_glr_plot_tow_001.png +

    Total running time of the script: ( 0 minutes 1.408 seconds)

    Gallery generated by Sphinx-Gallery

    +
    diff --git a/charts/_build/html/auto_examples/sg_execution_times.html b/charts/_build/html/auto_examples/sg_execution_times.html index cb008e3..932a576 100644 --- a/charts/_build/html/auto_examples/sg_execution_times.html +++ b/charts/_build/html/auto_examples/sg_execution_times.html @@ -31,13 +31,13 @@

    Computation times

    -

    00:03.390 total execution time for auto_examples files:

    +

    00:33.929 total execution time for auto_examples files:

    diff --git a/charts/_build/html/searchindex.js b/charts/_build/html/searchindex.js index 08febb8..d202c41 100644 --- a/charts/_build/html/searchindex.js +++ b/charts/_build/html/searchindex.js @@ -1 +1 @@ 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'2016-09-30'\nGROUP BY pickup_datetime, area_name\n), collect AS (\nSELECT area_name, avg(count) as count, mon, yr from sum\ngroup by area_name, mon, yr)\n\n,tot1 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2016 AND mon IN (10))\nGROUP BY area_name\n), tot2 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2018 AND mon IN (9)) \nGROUP BY area_name\n)\nSELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\nb.count as count1, a.count as count2 FROM tot1 b\nLEFT JOIN tot2 a USING (area_name)\nORDER BY count1 ASC\n'''\n\ndistrict_cond = pandasql.read_sql(query, con)\n\nfig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)" + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "query = ''' \n\nWITH sum AS (\n\nSELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\nLEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n\nWHERE pickup_datetime > '2016-09-30'\nGROUP BY pickup_datetime, area_name\n), collect AS (\nSELECT area_name, avg(count) as count, mon, yr from sum\ngroup by area_name, mon, yr)\n\n,tot1 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2016 AND mon IN (10))\nGROUP BY area_name\n), tot2 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2018 AND mon IN (9)) \nGROUP BY area_name\n)\nSELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\nb.count as count1, a.count as count2 FROM tot1 b\nLEFT JOIN tot2 a USING (area_name)\nORDER BY count1 ASC\n'''\n\ndistrict_cond = pandasql.read_sql(query, con)\n\nfig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)" ] } ], diff --git a/charts/auto_examples/plot_stacked.py b/charts/auto_examples/plot_stacked.py index ea5cf8f..eba03ff 100644 --- a/charts/auto_examples/plot_stacked.py +++ b/charts/auto_examples/plot_stacked.py @@ -31,7 +31,11 @@ CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') dbset = CONFIG['DBSETTINGS'] con = connect(**dbset) - +################################ +#Data Collection +#---------------- +# +#This Section grabs and formats the data. query = ''' WITH sum AS ( diff --git a/charts/auto_examples/plot_stacked.py.md5 b/charts/auto_examples/plot_stacked.py.md5 index e7c7a3c..3a527f6 100644 --- a/charts/auto_examples/plot_stacked.py.md5 +++ b/charts/auto_examples/plot_stacked.py.md5 @@ -1 +1 @@ -3ab2bf2f341f6e70806830d186afacda \ No newline at end of file +bc4ba97e19d6118abff095676cf5f856 \ No newline at end of file diff --git a/charts/auto_examples/plot_stacked.rst b/charts/auto_examples/plot_stacked.rst index 562b4c9..238000d 100644 --- a/charts/auto_examples/plot_stacked.rst +++ b/charts/auto_examples/plot_stacked.rst @@ -13,14 +13,6 @@ Stacked Bar Chart Makes an example of a stacked bar chart. - -.. image:: /auto_examples/images/sphx_glr_plot_stacked_001.png - :class: sphx-glr-single-img - - - - - .. code-block:: default @@ -51,6 +43,19 @@ Makes an example of a stacked bar chart. dbset = CONFIG['DBSETTINGS'] con = connect(**dbset) + + + + + +Data Collection +---------------- + +This Section grabs and formats the data. + + +.. code-block:: default + query = ''' WITH sum AS ( @@ -85,9 +90,17 @@ Makes an example of a stacked bar chart. fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True) + +.. image:: /auto_examples/images/sphx_glr_plot_stacked_001.png + :class: sphx-glr-single-img + + + + + .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 2.260 seconds) + **Total running time of the script:** ( 0 minutes 3.557 seconds) .. _sphx_glr_download_auto_examples_plot_stacked.py: diff --git a/charts/auto_examples/plot_tow.ipynb b/charts/auto_examples/plot_tow.ipynb index 93c5c98..f85cbb7 100644 --- a/charts/auto_examples/plot_tow.ipynb +++ b/charts/auto_examples/plot_tow.ipynb @@ -26,7 +26,25 @@ }, "outputs": [], "source": [ - "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)\n\nquery = '''\n\nWITH sum AS (\n\nSELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,\nextract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25\n\n\nWHERE pickup_datetime > '2018-08-31'\nGROUP BY pickup_datetime, hr\n\n)\n, collect AS (\nSELECT avg(count) as count, hr, dow from sum\ngroup by hr, dow)\n\nSELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, \nCASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch\nFROM collect\nLEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr\nLEFT JOIN ptc.periods_simple USING (period_uid)\nORDER BY dow, hr\n\n'''\ncount_18 = pandasql.read_sql(query,con)\n\nfig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)" + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "query = '''\n\nWITH sum AS (\n\nSELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,\nextract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25\n\n\nWHERE pickup_datetime > '2018-08-31'\nGROUP BY pickup_datetime, hr\n\n)\n, collect AS (\nSELECT avg(count) as count, hr, dow from sum\ngroup by hr, dow)\n\nSELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, \nCASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch\nFROM collect\nLEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr\nLEFT JOIN ptc.periods_simple USING (period_uid)\nORDER BY dow, hr\n\n'''\ncount_18 = pandasql.read_sql(query,con)\n\nfig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)" ] } ], diff --git a/charts/auto_examples/plot_tow.py b/charts/auto_examples/plot_tow.py index dc0ba20..3d6daf6 100644 --- a/charts/auto_examples/plot_tow.py +++ b/charts/auto_examples/plot_tow.py @@ -31,7 +31,11 @@ CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') dbset = CONFIG['DBSETTINGS'] con = connect(**dbset) - +################################ +#Data Collection +#---------------- +# +#This Section grabs and formats the data. query = ''' WITH sum AS ( diff --git a/charts/auto_examples/plot_tow.py.md5 b/charts/auto_examples/plot_tow.py.md5 index 058b263..32dc751 100644 --- a/charts/auto_examples/plot_tow.py.md5 +++ b/charts/auto_examples/plot_tow.py.md5 @@ -1 +1 @@ -dff01a3549e75fc179cda6fa165c526f \ No newline at end of file +94f4f1b477459194ce0ff8a46acc07ad \ No newline at end of file diff --git a/charts/auto_examples/plot_tow.rst b/charts/auto_examples/plot_tow.rst index 96ed8c2..967cc39 100644 --- a/charts/auto_examples/plot_tow.rst +++ b/charts/auto_examples/plot_tow.rst @@ -13,14 +13,6 @@ Time of Week Chart Makes an example of a time of week chart. - -.. image:: /auto_examples/images/sphx_glr_plot_tow_001.png - :class: sphx-glr-single-img - - - - - .. code-block:: default @@ -51,6 +43,19 @@ Makes an example of a time of week chart. dbset = CONFIG['DBSETTINGS'] con = connect(**dbset) + + + + + +Data Collection +---------------- + +This Section grabs and formats the data. + + +.. code-block:: default + query = ''' WITH sum AS ( @@ -79,9 +84,17 @@ Makes an example of a time of week chart. fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500) + +.. image:: /auto_examples/images/sphx_glr_plot_tow_001.png + :class: sphx-glr-single-img + + + + + .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 3.390 seconds) + **Total running time of the script:** ( 0 minutes 1.408 seconds) .. _sphx_glr_download_auto_examples_plot_tow.py: diff --git a/charts/auto_examples/sg_execution_times.rst b/charts/auto_examples/sg_execution_times.rst index e3180e8..b94b955 100644 --- a/charts/auto_examples/sg_execution_times.rst +++ b/charts/auto_examples/sg_execution_times.rst @@ -5,10 +5,10 @@ Computation times ================= -**00:03.390** total execution time for **auto_examples** files: +**00:33.929** total execution time for **auto_examples** files: -- **00:03.390**: :ref:`sphx_glr_auto_examples_plot_tow.py` (``plot_tow.py``) -- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_bar.py` (``plot_bar.py``) +- **00:27.838**: :ref:`sphx_glr_auto_examples_plot_bar.py` (``plot_bar.py``) +- **00:03.557**: :ref:`sphx_glr_auto_examples_plot_stacked.py` (``plot_stacked.py``) +- **00:01.408**: :ref:`sphx_glr_auto_examples_plot_tow.py` (``plot_tow.py``) +- **00:01.126**: :ref:`sphx_glr_auto_examples_plot_line.py` (``plot_line.py``) - **00:00.000**: :ref:`sphx_glr_auto_examples_plot_chloropleth.py` (``plot_chloropleth.py``) -- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_line.py` (``plot_line.py``) -- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_stacked.py` (``plot_stacked.py``) diff --git a/charts/example/plot_bar.py b/charts/example/plot_bar.py index 62f6148..fa7c407 100644 --- a/charts/example/plot_bar.py +++ b/charts/example/plot_bar.py @@ -26,7 +26,11 @@ import matplotlib.ticker as ticker import matplotlib.font_manager as font_manager - +################################ +#Data Collection +#---------------- +# +#This creates a test dataframe to use pass_data = {'cat': ['PTC','Taxi', 'Trip Making Population'], 'TTC Pass': [22,16,16], } diff --git a/charts/example/plot_line.py b/charts/example/plot_line.py index b060965..5566d4c 100644 --- a/charts/example/plot_line.py +++ b/charts/example/plot_line.py @@ -31,6 +31,11 @@ CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') dbset = CONFIG['DBSETTINGS'] con = connect(**dbset) +################################ +#Data Collection +#---------------- +# +#This Section grabs and formats the data. query=''' WITH daily_ave AS ( @@ -56,6 +61,10 @@ count FROM total ''' total=pandasql.read_sql(query, con) +################################ +#Gets the baseline data (to be graphed in grey) + + query=''' WITH daily_ave AS ( @@ -84,10 +93,12 @@ fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count']) - +################################ +#Adds annotations fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', verticalalignment='top', ha = 'center', bbox=props, color = '#660159') - +################################ +#Adds custom x axis month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', 'Jan\n2018', 'May', 'Sept', 'Jan\n2019','May',] diff --git a/charts/example/plot_stacked.py b/charts/example/plot_stacked.py index ea5cf8f..eba03ff 100644 --- a/charts/example/plot_stacked.py +++ b/charts/example/plot_stacked.py @@ -31,7 +31,11 @@ CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') dbset = CONFIG['DBSETTINGS'] con = connect(**dbset) - +################################ +#Data Collection +#---------------- +# +#This Section grabs and formats the data. query = ''' WITH sum AS ( diff --git a/charts/example/plot_tow.py b/charts/example/plot_tow.py index dc0ba20..3d6daf6 100644 --- a/charts/example/plot_tow.py +++ b/charts/example/plot_tow.py @@ -31,7 +31,11 @@ CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') dbset = CONFIG['DBSETTINGS'] con = connect(**dbset) - +################################ +#Data Collection +#---------------- +# +#This Section grabs and formats the data. query = ''' WITH sum AS ( From 25da600880ab17b4060c9d4675dc88f523a754a0 Mon Sep 17 00:00:00 2001 From: rickl4 <38917106+rickl4@users.noreply.github.com> Date: Mon, 19 Aug 2019 14:56:50 -0400 Subject: [PATCH 22/31] Moved stuff to a docs folder --- charts/{ => docs}/Makefile | 0 .../_build/doctrees/auto_examples/index.doctree | Bin .../_build/doctrees/auto_examples/plot_bar.doctree | Bin .../doctrees/auto_examples/plot_chloropleth.doctree | Bin .../_build/doctrees/auto_examples/plot_line.doctree | Bin .../doctrees/auto_examples/plot_stacked.doctree | Bin .../_build/doctrees/auto_examples/plot_tow.doctree | Bin .../auto_examples/sg_execution_times.doctree | Bin charts/{ => 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a/charts/example/plot_stacked.py b/charts/docs/example/plot_stacked.py similarity index 100% rename from charts/example/plot_stacked.py rename to charts/docs/example/plot_stacked.py diff --git a/charts/example/plot_tow.py b/charts/docs/example/plot_tow.py similarity index 100% rename from charts/example/plot_tow.py rename to charts/docs/example/plot_tow.py diff --git a/charts/index.rst b/charts/docs/index.rst similarity index 100% rename from charts/index.rst rename to charts/docs/index.rst diff --git a/charts/make b/charts/docs/make similarity index 100% rename from charts/make rename to charts/docs/make diff --git a/charts/make.bat b/charts/docs/make.bat similarity index 100% rename from charts/make.bat rename to charts/docs/make.bat From ba9ed1cdd6e41c03a70f4652e0f1e309a4ce3c98 Mon Sep 17 00:00:00 2001 From: rickl4 <38917106+rickl4@users.noreply.github.com> Date: Mon, 19 Aug 2019 15:09:22 -0400 Subject: [PATCH 23/31] moved docs to the root --- charts/{docs => sphinx}/Makefile | 0 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a/docs/html/.buildinfo b/docs/html/.buildinfo new file mode 100644 index 0000000..2c35fee --- /dev/null +++ b/docs/html/.buildinfo @@ -0,0 +1,4 @@ +# Sphinx build info version 1 +# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. +config: 1c275954e7230feb7ad6ce4c29ebd80d +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/html/_downloads/21be591842209cda4c2f74d548884a33/plot_line.py b/docs/html/_downloads/21be591842209cda4c2f74d548884a33/plot_line.py new file mode 100644 index 0000000..5566d4c --- /dev/null +++ b/docs/html/_downloads/21be591842209cda4c2f74d548884a33/plot_line.py @@ -0,0 +1,106 @@ +""" +Line Chart +================== + +Makes an example of a line chart, with an additional baseline plot and custom formatted x axis. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) +################################ +#Data Collection +#---------------- +# +#This Section grabs and formats the data. + +query=''' +WITH daily_ave AS ( + +SELECT * FROM ptc.daily_trips +), total AS ( +SELECT extract(month from pickup_datetime) as mon, +extract(year from pickup_datetime) as yr, + +CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 +WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE +avg(count)::integer END as count FROM daily_ave +GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) +ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) +) + + +SELECT +CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') +END AS period, +count FROM total +''' +total=pandasql.read_sql(query, con) +################################ +#Gets the baseline data (to be graphed in grey) + + + +query=''' +WITH daily_ave AS ( + +SELECT * FROM ptc.daily_trips +), total AS ( +SELECT extract(month from pickup_datetime) as mon, +extract(year from pickup_datetime) as yr, + +CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 +WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE +avg(count)::integer END as count FROM daily_ave +GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) +ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) +) + + +SELECT +CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text +ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') +END AS period, +count/2 as count FROM total +''' +total2=pandasql.read_sql(query, con) + +fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count']) + +################################ +#Adds annotations +fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', + verticalalignment='top', ha = 'center', bbox=props, color = '#660159') +################################ +#Adds custom x axis +month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', + 'Jan\n2018', 'May', 'Sept', + 'Jan\n2019','May',] +plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin') + diff --git a/docs/html/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb b/docs/html/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb new file mode 100644 index 0000000..1538a15 --- /dev/null +++ b/docs/html/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb @@ -0,0 +1,72 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nStacked Bar Chart\n==================\n\nMakes an example of a stacked bar chart.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "query = ''' \n\nWITH sum AS (\n\nSELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\nLEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n\nWHERE pickup_datetime > '2016-09-30'\nGROUP BY pickup_datetime, area_name\n), collect AS (\nSELECT area_name, avg(count) as count, mon, yr from sum\ngroup by area_name, mon, yr)\n\n,tot1 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2016 AND mon IN (10))\nGROUP BY area_name\n), tot2 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2018 AND mon IN (9)) \nGROUP BY area_name\n)\nSELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\nb.count as count1, a.count as count2 FROM tot1 b\nLEFT JOIN tot2 a USING (area_name)\nORDER BY count1 ASC\n'''\n\ndistrict_cond = pandasql.read_sql(query, con)\n\nfig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", 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pickup_datetime, hr + +) +, collect AS ( +SELECT avg(count) as count, hr, dow from sum +group by hr, dow) + +SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, +CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch +FROM collect +LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr +LEFT JOIN ptc.periods_simple USING (period_uid) +ORDER BY dow, hr + +''' +count_18 = pandasql.read_sql(query,con) + +fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500) \ No newline at end of file diff --git a/docs/html/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb b/docs/html/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb new file mode 100644 index 0000000..9919a2c --- /dev/null +++ b/docs/html/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb @@ -0,0 +1,126 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\nLine Chart\n==================\n\nMakes an example of a line chart, with an additional baseline plot and custom formatted x axis.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "query='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS (\nSELECT extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount FROM total\n'''\ntotal=pandasql.read_sql(query, con)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Gets the baseline data (to be graphed in grey)\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "query='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS (\nSELECT extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount/2 as count FROM total\n'''\ntotal2=pandasql.read_sql(query, con)\n\nfig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Adds annotations\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n verticalalignment='top', ha = 'center', bbox=props, color = '#660159')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Adds custom x axis\n\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "month_lst2 = ['Sept\\n2016', 'Jan\\n2017', 'May', 'Sept',\n 'Jan\\n2018', 'May', 'Sept', \n 'Jan\\n2019','May',]\nplt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.4" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/docs/html/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py b/docs/html/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py new file mode 100644 index 0000000..eba03ff --- /dev/null +++ b/docs/html/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py @@ -0,0 +1,71 @@ +""" +Stacked Bar Chart +================== + +Makes an example of a stacked bar chart. +""" + +from sqlalchemy import create_engine +import matplotlib.pyplot as plt +import matplotlib as mpl +import pandas as pd +import configparser +from psycopg2 import connect +import psycopg2.sql as pg +import pandas.io.sql as pandasql +import numpy as np +import datetime +import math +import rick +import geopandas as gpd +import os +import shapely +from shapely.geometry import Point +os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" +import importlib +import matplotlib.ticker as ticker +import matplotlib.font_manager as font_manager + + +CONFIG = configparser.ConfigParser() +CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') +dbset = CONFIG['DBSETTINGS'] +con = connect(**dbset) +################################ +#Data Collection +#---------------- +# +#This Section grabs and formats the data. +query = ''' + +WITH sum AS ( + +SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25 +LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short + +WHERE pickup_datetime > '2016-09-30' +GROUP BY pickup_datetime, area_name +), collect AS ( +SELECT area_name, avg(count) as count, mon, yr from sum +group by area_name, mon, yr) + +,tot1 AS ( + +SELECT area_name, avg(count) as count FROM collect +WHERE (yr =2016 AND mon IN (10)) +GROUP BY area_name +), tot2 AS ( + +SELECT area_name, avg(count) as count FROM collect +WHERE (yr =2018 AND mon IN (9)) 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zFHM)=4h=|DE{yzLI$4QpxYyf#Mq^R7z+r~av3%K~% z-gSfn%Pz2K!17&QTkC48ea1;fZG(o02@$R6Z{Sk$lWjq#1Hd!x;&kG4sx1v(0N(+F zrG~L_3Uc+HkPvy*MA*bS9i?@pQ0U0>A~Uv-BS+`e~Cg4 zSy@?@9bQktR}V`Qa-&Z3ZMOllig)$H1x{CN3nJ#+w!3V9 z4UMP^UPNmXl2Oju0ZgZNE&!em4x5Ab6*=m9Pq4dVwH^XMD2m(30I7T)HXyh;!Afwf znIs@2v_KI3wy)CA(`#QX0+V2KhyZ_DFKlLTT47;f<&~8X)e!MM + + + + + Overview: module code — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + +

        All modules for which code is available

        + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + +
        + + + + + + \ No newline at end of file diff --git a/docs/html/_modules/rick.html b/docs/html/_modules/rick.html new file mode 100644 index 0000000..4e872d1 --- /dev/null +++ b/docs/html/_modules/rick.html @@ -0,0 +1,666 @@ + + + + + + + rick — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + +

        Source code for rick

        +# -*- coding: utf-8 -*-
+"""
+Version 0.8.0 
+
+
+"""
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import matplotlib.patches as patches
+import matplotlib.ticker as ticker
+import geopandas as gpd
+import os
+import shapely
+import seaborn as sns
+from shapely.geometry import Point
+import matplotlib.font_manager as font_manager
+import numpy as np
+
+#shapely workaround for windows
+#os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+
+
        [docs]class font:
+    """
+    Class defining the global font variables for all functions.
+    
+    """
+    
+    leg_font = font_manager.FontProperties(family='Libre Franklin',size=9)
+    normal = 'Libre Franklin'
+    semibold = 'Libre Franklin SemiBold'
        
+    
+    
+
        [docs]class colour:
+    """
+    Class defining the global colour variables for all functions.
+    
+    """
+    purple = '#660159'
+    grey = '#7f7e7e'
+    light_grey = '#777777'
+    cmap = 'YlOrRd'
        
+    
+
        [docs]class geo:
+    """
+    Class for additional gis layers needed for the cloropleth map.
+    
+    """
+    
+
        [docs]    def ttc(con):
+        """Function to return the TTC subway layer.
+        
+        Parameters
+        ------------
+        con : SQL connection object
+            Connection object needed to connect to the RDS
+        
+        Returns
+        --------
+        gdf
+            Geopandas Dataframe of the Subway Layer
+        
+        """
+        query = '''
+        
+        SELECT * FROM gis.subway_to
+        
+        '''
+        ttc = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+        ttc = ttc.to_crs({'init' :'epsg:3857'})
+        
+        for index, row in ttc.iterrows():
+            rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
+            ttc.loc[index, 'geom'] = rotated  
+        
+        return ttc
        
+    
+
        [docs]    def island(con):
+        
+        """Function to return a layer of the Toronto island. Since the island is classified in the same neighbourhood as the waterfront, in some cases its not completely accurate to show the island shares the same data as the waterfront. 
+        
+        Parameters
+        ------------
+        con : SQL connection object
+            Connection object needed to connect to the RDS
+        
+        Returns
+        --------
+        gdf
+            Geopandas Dataframe of the Toronto island.
+        
+        """
+        
+        query = '''
+
+        SELECT 
+        geom
+        FROM tts.zones_tts06
+        WHERE gta06 = 81
+
+        '''
+
+        island =  gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+        island  = island.to_crs({'init' :'epsg:3857'})
+
+        for index, row in island.iterrows():
+            rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) 
+            island.loc[index, 'geom'] = rotated
+
+        return island
        
+    
+
        [docs]class charts:
+    """
+    Class defining all the charting functions.
+    
+    """
+    
+    global func
+    def func():
+        
+        """Function to set global settings for the charts class. 
+        
+        """
+        
+        sns.set(font_scale=1.5) 
+        mpl.rc('font',family='Libre Franklin')
+    
+
        [docs]    def chloro_map(con, df, lower, upper, title, **kwargs):
+        """Creates a chloropleth map
+        
+        Parameters
+        -----------
+        con : SQL connection object
+            Connection object needed to connect to the RDS
+        df : GeoPandas Dataframe
+            Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the geom column and the second has to be the data that needs to be mapped.
+        lower : int
+            Lower bound for colourmap
+        upper : int
+            Upper bound for the colourmap
+        title : str
+            Legend label
+        subway : boolean, optional, default: False
+            True to display subway on the map
+        island : boolean, optional, defailt: True
+            False to grey out the Toronto island
+        cmap : str, optional, default: YlOrRd
+            Matplotlib colourmap to use for the map
+        unit : str, optional
+            Unit to append to the end of the legend tick
+        nbins : int, optional, defualt: 2
+            Number of ticks in the colourmap
+            
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+            
+        """
+        
+        func()
+        subway = kwargs.get('subway', False)
+        island = kwargs.get('island', True)
+        cmap = kwargs.get('cmap', colour.cmap)
+        unit = kwargs.get('unit', None)
+        nbins = kwargs.get('nbins', 2)
+        
+        df.columns = ['geom', 'values']
+        light = '#d9d9d9'
+
+        fig, ax = plt.subplots()
+        fig.set_size_inches(6.69,3.345)
+         
+        ax.set_yticklabels([])
+        ax.set_xticklabels([])
+        ax.set_axis_off()
+    
+        mpd = df.plot(column='values', ax=ax, vmin=lower, vmax=upper,  cmap = cmap, edgecolor = 'w', linewidth = 0.5)
+        
+        if island == False:
+            island_grey = geo.island(con)
+            island_grey.plot(ax=ax, edgecolor = 'w', linewidth = 4,  color = light)
+            island_grey.plot(ax=ax, edgecolor = 'w', linewidth = 0,  color = light)
+         
+        if subway == True:
+            ttc_df = geo.ttc(con)
+            line = ttc_df.plot( ax=ax, linewidth =4, color = 'w', alpha =0.6) # ttc subway layer
+            line = ttc_df.plot( ax=ax, linewidth =2, color = 'k', alpha =0.4) # ttc subway layer
+    
+         
+        props = dict(boxstyle='round', facecolor='w', alpha=0)
+        plt.text(0.775, 0.37, title, transform=ax.transAxes, wrap = True, fontsize=7, fontname = font.semibold,
+                verticalalignment='bottom', bbox=props, fontweight = 'bold') # Adding the Legend Title
+         
+        
+        cax = fig.add_axes([0.718, 0.16, 0.01, 0.22]) # Size of colorbar
+         
+        rect = patches.Rectangle((0.76, 0.01),0.235,0.43,linewidth=0.5, transform=ax.transAxes, edgecolor=light,facecolor='none')
+        ax.add_patch(rect)
+        
+        ax.margins(0.1)
+         
+        sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(vmin=lower, vmax=upper))
+        sm._A = []
+        cbr = fig.colorbar(sm, cax=cax)
+        cbr.outline.set_linewidth(0)
+        tick_locator = ticker.MaxNLocator(nbins=nbins)
+        cbr.locator = tick_locator
+        cbr.update_ticks()
+        cbr.ax.yaxis.set_tick_params(width=0.5)
+        cbr.ax.tick_params(labelsize=6)  # Formatting for Colorbar Text
+        for l in cbr.ax.yaxis.get_ticklabels():
+            l.set_family(font.normal)
+        
+        if unit is not None:
+            if 0 < upper < 10:
+                ax.text(0.829, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left') 
+            elif 10 <= upper < 100:
+                ax.text(0.839, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
+            elif 100 <= upper < 1000:
+                ax.text(0.851, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
+            elif 1000 <= upper < 100000:
+                ax.text(0.862, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
+            else:
+                pass
+            
+        
+        return fig, ax
        
+    
+
        [docs]    def line_chart(data, ylab, xlab, **kwargs):
+        """Creates a line chart. x axis must be modified manually
+        
+        Parameters
+        -----------
+        data : array like or scalar
+            Data for the line chart.
+        ylab : str
+            Label for the y axis.
+        xlab : str
+            Label for the x axis.
+        ymax : int, optional, default is the max y value
+            The max value of the y axis
+        ymin : int, optional, default is 0
+            The minimum value of the y axis
+        baseline : array like or scalar, optional, default is None
+            Whether another line representing the baseline needs to be plotted
+        yinc : int, optional
+            The increment of ticks on the y axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+        props
+            Dictionary of the text annotation properties
+            
+        """
+        
+        func()
+        ymax = kwargs.get('ymax', int(data.max()))
+        ymin = kwargs.get('ymin', 0)
+        baseline = kwargs.get('baseline', None)
+        
+        delta = (ymax - ymin)/4
+        i = 0
+        while True:
+            delta /= 10
+            i += 1
+            if delta < 10:
+                break
+        yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i)))
+        
+        fig, ax =plt.subplots()
+        ax.plot(data ,linewidth=3, color = colour.purple)
+        ax.plot(baseline ,linewidth=3, color = colour.grey)
+
+        plt.grid()
+        ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+
+        ax.set_facecolor('xkcd:white')
+
+        plt.xlabel(xlab, fontsize=9, fontweight = 'bold', horizontalalignment='right', x=0, labelpad=10, 
+                   fontname = font.normal)
+        ax.grid(color='k', linestyle='-', linewidth=0.2)
+        plt.ylabel(ylab, fontsize=9, fontweight = 'bold', horizontalalignment='right', y=1.0, 
+                   labelpad=10, fontname = font.normal)
+        fig.set_size_inches(6.1, 4.1)
+        plt.xticks(fontsize=9, fontname = font.normal)
+        plt.yticks(range(ymin,int(4.1*yinc), yinc), fontsize =9, fontname = font.normal)
+
+        props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple, linewidth = 2, facecolor = 'w', alpha=1)
+
+        ax.set_ylim([ymin,int(4*yinc+ymin)])
+        fig.patch.set_facecolor('w')
+        
+        return fig, ax, props
        
+    
+
        [docs]    def tow_chart(data, ylab, **kwargs):
+        """Creates a 7 day time of week line chart. Each data point represents 1 hour out of 168 hours.
+        
+        Parameters
+        -----------
+        data : array like or scalar
+            Data for the tow chart. Data must only have 168 entries, with row 0 representing Monday at midnight.
+        ylab : str
+            Label for the y axis.
+        ymax : int, optional, default is the max y value
+            The max value of the y axis
+        ymin : int, optional, default is 0
+            The minimum value of the y axis
+        yinc : int, optional
+            The increment of ticks on the y axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+        props
+            Dictionary of the text annotation properties
+            
+        """
+        func()
+        ymax = kwargs.get('ymax', None)
+        ymin = kwargs.get('ymin', 0)
+        
+        
+        ymax_flag = True
+        if ymax == None:
+            ymax = int(data.max())
+            ymax_flag = False
+        
+        delta = (ymax - ymin)/3
+        i = 0
+        while True:
+            delta /= 10
+            i += 1
+            if delta < 10:
+                break
+        yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i)))
+        
+        if ymax_flag == True:
+            upper = ymax
+        else:
+            upper = int(3*yinc+ymin)
+        
+        fig, ax =plt.subplots()
+        ax.plot(data, linewidth = 2.5, color = colour.purple)
+
+        plt.grid()
+        ax.set_facecolor('xkcd:white')
+
+        plt.xlabel('Time of week', fontname = font.normal, fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold')
+        ax.set_ylim([ymin,upper])
+
+        ax.grid(color='k', linestyle='-', linewidth=0.2)
+        plt.ylabel(ylab, fontname = font.normal, fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold')
+        fig.set_size_inches(6.1, 1.8)
+
+
+        ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+        plt.yticks(range(ymin,upper+int(0.1*yinc), yinc), fontsize =9, fontname = font.normal)
+
+        ax.set_xticks(range(0,180,12))
+        ax.set_xticklabels(['0','12','0','12',
+                                                            '0','12','0','12',
+                                         '0','12','0','12','0','12'], fontname = font.normal, fontsize = 7, color = colour.light_grey)
+
+        ax.xaxis.set_minor_locator(ticker.FixedLocator(list(range(12,180,24))))
+        ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['Monday','Tuesday',
+                                                            'Wednesday','Thursday',
+                                         'Friday','Saturday','Sunday']))
+        ax.tick_params(axis='x', which='minor', colors = 'k', labelsize=9, pad =14)
+
+        props = dict(boxstyle='round, pad=0.3',edgecolor=colour.purple, linewidth = 1.5, facecolor = 'w', alpha=1)
+
+        ax.set_xlim([0,167])
+        return fig, ax, props
        
+
+
        [docs]    def stacked_chart(data_in, xlab, lab1, lab2, **kwargs):
+        """Creates a stacked bar chart comparing 2 sets of data
+        
+        Parameters
+        -----------
+        data : dataframe
+            Data for the stacked bar chart. The dataframe must have 3 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data.
+        xlab : str
+            Label for the x axis.
+        lab1 : str
+            Label in the legend for the baseline
+        lab2 : str
+            Label in the legend fot the next data series
+        xmax : int, optional, default is the max s value
+            The max value of the y axis
+        xmin : int, optional, default is 0
+            The minimum value of the x axis
+        precision : int, optional, default is -1
+            Decimal places in the annotations
+        percent : boolean, optional, default is False
+            Whether the annotations should be formatted as percentages
+            
+        xinc : int, optional
+            The increment of ticks on the x axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+            
+        """
+        
+        func()
+        data = data_in.copy(deep=True)
+        
+        data.columns = ['name', 'values1', 'values2']
+        
+        xmin = kwargs.get('xmin', 0)
+        xmax = kwargs.get('xmax', None)
+        precision = kwargs.get('precision', -1)
+        percent = kwargs.get('percent', False)
+        
+        xmax_flag = True
+        if xmax == None:
+            xmax = int(max(data[['values1', 'values2']].max()))
+            xmax_flag = False
+        
+        delta = (xmax - xmin)/4
+        i = 0
+        while True:
+            delta /= 10
+            i += 1
+            if delta < 10:
+                break
+        xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i)))
+
+        if xmax_flag == True:
+            upper = xmax
+        else:
+            upper = int(4*xinc+xmin)
+        
+        ind = np.arange(len(data))
+
+        fig, ax = plt.subplots()
+        fig.set_size_inches(6.1, len(data))
+        ax.grid(color='k', linestyle='-', linewidth=0.25)
+
+        p1 = ax.barh(ind+0.4, data['values1'], 0.4, align='center', color = colour.grey)
+        p2 = ax.barh(ind, data['values2'], 0.4, align='center', color = colour.purple)
+        ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+
+        ax.xaxis.grid(True)
+        ax.yaxis.grid(False)
+        ax.set_yticks(ind+0.4/2)
+        ax.set_xlim(0,upper)
+        ax.set_yticklabels(data['name'])
+        ax.set_xlabel(xlab,  horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
+
+        ax.set_facecolor('xkcd:white')
+        j=0
+        
+        if precision < 1:
+            data[['values1', 'values2']] = data[['values1', 'values2']].astype(int)
+        for i in data['values2']:
+            if i < 0.1*upper:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            else:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            j=j+1
+        j=0.4
+        for i in data['values1']:
+            if i < 0.1*upper:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10)
+            else:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            j=j+1
+
+        
+        ax.legend((p1[0], p2[0]), (lab1, lab2), loc=4, frameon=False, prop=font.leg_font)
+        plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10)
+        plt.yticks( fontname = font.normal, fontsize =10)
+        
+        if percent == True:
+            data_yoy = data
+            data_yoy['percent'] = (data['values2']-data['values1'])*100/data['values1']
+            j=0.15
+            for index, row in data_yoy.iterrows():
+                ax.annotate('+'+str(format(int(round(row['percent'],0)), ','))+'%', xy=(max(row[['values1', 'values2']]) + 0.03*upper, j), 
+                                                                                           color = 'k', fontname = font.normal, fontsize=10)
+                j=j+1
+                
+
+        return fig, ax
        
+    
+
        [docs]    def bar_chart(data_in, xlab,**kwargs):
+        """Creates a bar chart
+        
+        Parameters
+        -----------
+        data : dataframe
+            Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data
+        xlab : str
+            Label for the x axis.
+        xmax : int, optional, default is the max s value
+            The max value of the y axis
+        xmin : int, optional, default is 0
+            The minimum value of the x axis
+        precision : int, optional, default is -1
+            Decimal places in the annotations
+            
+        xinc : int, optional
+            The increment of ticks on the x axis.
+        
+        Returns 
+        --------
+        fig
+            Matplotlib fig object
+        ax 
+            Matplotlib ax object
+            
+        """
+        func()
+        data = data_in.copy(deep=True)
+        
+        data.columns = ['name', 'values1']
+        
+        xmin = kwargs.get('xmin', 0)
+        xmax = kwargs.get('xmax', None)
+        precision = kwargs.get('precision', 0)
+        
+        xmax_flag = True
+        if xmax == None:
+            xmax = data['values1'].max()
+            xmax_flag = False
+
+        delta = (xmax - xmin)/4
+        i = 0
+        while True:
+            if delta < 10:
+                break
+            delta /= 10
+            i += 1
+        xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i)))
+
+        if xmax_flag == True:
+            upper = xmax
+        else:
+            upper = int(4*xinc+xmin)
+        
+        ind = np.arange(len(data))
+
+        fig, ax = plt.subplots()
+        fig.set_size_inches(6.1, len(data)*0.7)
+        ax.grid(color='k', linestyle='-', linewidth=0.25)
+        p2 = ax.barh(ind, data['values1'], 0.75, align='center', color = colour.purple)
+        ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
+
+        ax.xaxis.grid(True)
+        ax.yaxis.grid(False)
+        ax.set_yticks(ind)
+        ax.set_xlim(0,upper)
+        ax.set_yticklabels(data['name'])
+        ax.set_xlabel(xlab,  horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
+
+        ax.set_facecolor('xkcd:white')
+        j=0
+        
+        if precision < 1:
+            data['values1'] = data['values1'].astype(int)
+
+        j=0
+        for i in data['values1']:
+            if i < 0.1*upper:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10)
+            else:
+                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
+            j=j+1
+
+        
+        plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10)
+        plt.yticks( fontname = font.normal, fontsize =10)
+        
+        return fig, ax
        
+
        + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + +
        + + + + + + \ No newline at end of file diff --git a/docs/html/_sources/auto_examples/index.rst.txt b/docs/html/_sources/auto_examples/index.rst.txt new file mode 100644 index 0000000..3df34af --- /dev/null +++ b/docs/html/_sources/auto_examples/index.rst.txt @@ -0,0 +1,139 @@ +:orphan: + + + +.. _sphx_glr_auto_examples: + +Gallery of Charts +================== + +Below is a gallery of example charts for each charting function in rick.charts. + + +.. raw:: html + +
        + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_bar_thumb.png + + :ref:`sphx_glr_auto_examples_plot_bar.py` + +.. raw:: html + +
        + + +.. toctree:: + :hidden: + + /auto_examples/plot_bar + +.. raw:: html + +
        + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_tow_thumb.png + + :ref:`sphx_glr_auto_examples_plot_tow.py` + +.. raw:: html + +
        + + +.. toctree:: + :hidden: + + /auto_examples/plot_tow + +.. raw:: html + +
        + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_stacked_thumb.png + + :ref:`sphx_glr_auto_examples_plot_stacked.py` + +.. raw:: html + +
        + + +.. toctree:: + :hidden: + + /auto_examples/plot_stacked + +.. raw:: html + +
        + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_chloropleth_thumb.png + + :ref:`sphx_glr_auto_examples_plot_chloropleth.py` + +.. raw:: html + +
        + + +.. toctree:: + :hidden: + + /auto_examples/plot_chloropleth + +.. raw:: html + +
        + +.. only:: html + + .. figure:: /auto_examples/images/thumb/sphx_glr_plot_line_thumb.png + + :ref:`sphx_glr_auto_examples_plot_line.py` + +.. raw:: html + +
        + + +.. toctree:: + :hidden: + + /auto_examples/plot_line +.. raw:: html + +
        + + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-gallery + + + .. container:: sphx-glr-download + + :download:`Download all examples in Python source code: auto_examples_python.zip ` + + + + .. container:: sphx-glr-download + + :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/html/_sources/auto_examples/plot_bar.rst.txt b/docs/html/_sources/auto_examples/plot_bar.rst.txt new file mode 100644 index 0000000..c20872e --- /dev/null +++ b/docs/html/_sources/auto_examples/plot_bar.rst.txt @@ -0,0 +1,101 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_bar.py: + + +Bar Chart +================== + +Makes an example of a bar chart. + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + + + + + +Data Collection +---------------- + +This creates a test dataframe to use + + +.. code-block:: default + + pass_data = {'cat': ['PTC','Taxi', 'Trip Making Population'], + 'TTC Pass': [22,16,16], + } + + transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass']) + transit_pass = transit_pass .reindex(index=transit_pass .index[::-1]) + + fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips') + + +.. image:: /auto_examples/images/sphx_glr_plot_bar_001.png + :class: sphx-glr-single-img + + + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 27.838 seconds) + + +.. _sphx_glr_download_auto_examples_plot_bar.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_bar.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_bar.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/html/_sources/auto_examples/plot_chloropleth.rst.txt b/docs/html/_sources/auto_examples/plot_chloropleth.rst.txt new file mode 100644 index 0000000..afc09fb --- /dev/null +++ b/docs/html/_sources/auto_examples/plot_chloropleth.rst.txt @@ -0,0 +1,174 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_chloropleth.py: + + +Chloropleth Map +================== + +Makes an example of a chloropleth map. + + +.. code-block:: default + + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + + + + + + +Data Collection +---------------- + +This Section grabs and formats the data. + + +.. code-block:: default + + query = ''' + + WITH sum AS ( + SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, + sum(count) as count FROM ptc.trip_data_agg_neighbourhood + GROUP BY pickup_datetime, pickup_neighbourhood + + ), ward1 AS ( + + SELECT avg(count) as count, pickup_neighbourhood from sum + WHERE (yr=2018 AND mon IN (9)) + GROUP BY pickup_neighbourhood + ORDER BY count + ), ward2 AS ( + + SELECT avg(count) as count, pickup_neighbourhood from sum + WHERE (yr=2016 AND mon IN (10)) + GROUP BY pickup_neighbourhood + ORDER BY count + ) + + SELECT pickup_neighbourhood, geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a + LEFT JOIN ward1 b USING ( pickup_neighbourhood) + LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood + + ''' + + + + + + +Rotates data 17 degrees to orient Toronto perpendicularly + + +.. code-block:: default + + data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom') + data = data.to_crs({'init' :'epsg:3857'}) + + for index, row in data.iterrows(): + rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) + data.at[index, 'geom'] = rotated + + + + + + + +The function only needs these columns, in this order + + +.. code-block:: default + + data=data[['geom', 'growth']] + + + + + + + + +Calls the Function + + + + + +.. code-block:: default + + fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', + island = False, unit = '%', nbins = 3) + + + + +.. image:: /auto_examples/images/sphx_glr_plot_chloropleth_001.png + :class: sphx-glr-single-img + + + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 18.050 seconds) + + +.. _sphx_glr_download_auto_examples_plot_chloropleth.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_chloropleth.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_chloropleth.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/html/_sources/auto_examples/plot_line.rst.txt b/docs/html/_sources/auto_examples/plot_line.rst.txt new file mode 100644 index 0000000..af24062 --- /dev/null +++ b/docs/html/_sources/auto_examples/plot_line.rst.txt @@ -0,0 +1,197 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_line.py: + + +Line Chart +================== + +Makes an example of a line chart, with an additional baseline plot and custom formatted x axis. + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + + + + + +Data Collection +---------------- + +This Section grabs and formats the data. + + +.. code-block:: default + + + query=''' + WITH daily_ave AS ( + + SELECT * FROM ptc.daily_trips + ), total AS ( + SELECT extract(month from pickup_datetime) as mon, + extract(year from pickup_datetime) as yr, + + CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 + WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE + avg(count)::integer END as count FROM daily_ave + GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) + ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) + ) + + + SELECT + CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') + END AS period, + count FROM total + ''' + total=pandasql.read_sql(query, con) + + + + + + +Gets the baseline data (to be graphed in grey) + + +.. code-block:: default + + + + + query=''' + WITH daily_ave AS ( + + SELECT * FROM ptc.daily_trips + ), total AS ( + SELECT extract(month from pickup_datetime) as mon, + extract(year from pickup_datetime) as yr, + + CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 + WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE + avg(count)::integer END as count FROM daily_ave + GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) + ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) + ) + + + SELECT + CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text + ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') + END AS period, + count/2 as count FROM total + ''' + total2=pandasql.read_sql(query, con) + + fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count']) + + + + +.. image:: /auto_examples/images/sphx_glr_plot_line_001.png + :class: sphx-glr-single-img + + + + +Adds annotations + + +.. code-block:: default + + fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', + verticalalignment='top', ha = 'center', bbox=props, color = '#660159') + + + + + + +Adds custom x axis + + +.. code-block:: default + + month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', + 'Jan\n2018', 'May', 'Sept', + 'Jan\n2019','May',] + plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin') + + + + +.. image:: /auto_examples/images/sphx_glr_plot_line_002.png + :class: sphx-glr-single-img + + + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 1.126 seconds) + + +.. _sphx_glr_download_auto_examples_plot_line.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_line.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_line.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/html/_sources/auto_examples/plot_stacked.rst.txt b/docs/html/_sources/auto_examples/plot_stacked.rst.txt new file mode 100644 index 0000000..238000d --- /dev/null +++ b/docs/html/_sources/auto_examples/plot_stacked.rst.txt @@ -0,0 +1,131 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_stacked.py: + + +Stacked Bar Chart +================== + +Makes an example of a stacked bar chart. + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + + + + + +Data Collection +---------------- + +This Section grabs and formats the data. + + +.. code-block:: default + + query = ''' + + WITH sum AS ( + + SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25 + LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short + + WHERE pickup_datetime > '2016-09-30' + GROUP BY pickup_datetime, area_name + ), collect AS ( + SELECT area_name, avg(count) as count, mon, yr from sum + group by area_name, mon, yr) + + ,tot1 AS ( + + SELECT area_name, avg(count) as count FROM collect + WHERE (yr =2016 AND mon IN (10)) + GROUP BY area_name + ), tot2 AS ( + + SELECT area_name, avg(count) as count FROM collect + WHERE (yr =2018 AND mon IN (9)) + GROUP BY area_name + ) + SELECT SPLIT_PART(area_name, 'Community', 1) as area_name, + b.count as count1, a.count as count2 FROM tot1 b + LEFT JOIN tot2 a USING (area_name) + ORDER BY count1 ASC + ''' + + district_cond = pandasql.read_sql(query, con) + + fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True) + + +.. image:: /auto_examples/images/sphx_glr_plot_stacked_001.png + :class: sphx-glr-single-img + + + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 3.557 seconds) + + +.. _sphx_glr_download_auto_examples_plot_stacked.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_stacked.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_stacked.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/html/_sources/auto_examples/plot_tow.rst.txt b/docs/html/_sources/auto_examples/plot_tow.rst.txt new file mode 100644 index 0000000..967cc39 --- /dev/null +++ b/docs/html/_sources/auto_examples/plot_tow.rst.txt @@ -0,0 +1,125 @@ +.. note:: + :class: sphx-glr-download-link-note + + Click :ref:`here ` to download the full example code +.. rst-class:: sphx-glr-example-title + +.. _sphx_glr_auto_examples_plot_tow.py: + + +Time of Week Chart +================== + +Makes an example of a time of week chart. + + +.. code-block:: default + + + from sqlalchemy import create_engine + import matplotlib.pyplot as plt + import matplotlib as mpl + import pandas as pd + import configparser + from psycopg2 import connect + import psycopg2.sql as pg + import pandas.io.sql as pandasql + import numpy as np + import datetime + import math + import rick + import geopandas as gpd + import os + import shapely + from shapely.geometry import Point + os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" + import importlib + import matplotlib.ticker as ticker + import matplotlib.font_manager as font_manager + + + CONFIG = configparser.ConfigParser() + CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') + dbset = CONFIG['DBSETTINGS'] + con = connect(**dbset) + + + + + + +Data Collection +---------------- + +This Section grabs and formats the data. + + +.. code-block:: default + + query = ''' + + WITH sum AS ( + + SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, + extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25 + + + WHERE pickup_datetime > '2018-08-31' + GROUP BY pickup_datetime, hr + + ) + , collect AS ( + SELECT avg(count) as count, hr, dow from sum + group by hr, dow) + + SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, + CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch + FROM collect + LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr + LEFT JOIN ptc.periods_simple USING (period_uid) + ORDER BY dow, hr + + ''' + count_18 = pandasql.read_sql(query,con) + + fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500) + + +.. image:: /auto_examples/images/sphx_glr_plot_tow_001.png + :class: sphx-glr-single-img + + + + + +.. rst-class:: sphx-glr-timing + + **Total running time of the script:** ( 0 minutes 1.408 seconds) + + +.. _sphx_glr_download_auto_examples_plot_tow.py: + + +.. only :: html + + .. container:: sphx-glr-footer + :class: sphx-glr-footer-example + + + + .. container:: sphx-glr-download + + :download:`Download Python source code: plot_tow.py ` + + + + .. container:: sphx-glr-download + + :download:`Download Jupyter notebook: plot_tow.ipynb ` + + +.. only:: html + + .. rst-class:: sphx-glr-signature + + `Gallery generated by Sphinx-Gallery `_ diff --git a/docs/html/_sources/auto_examples/sg_execution_times.rst.txt b/docs/html/_sources/auto_examples/sg_execution_times.rst.txt new file mode 100644 index 0000000..b94b955 --- /dev/null +++ b/docs/html/_sources/auto_examples/sg_execution_times.rst.txt @@ -0,0 +1,14 @@ + +:orphan: + +.. _sphx_glr_auto_examples_sg_execution_times: + +Computation times +================= +**00:33.929** total execution time for **auto_examples** files: + +- **00:27.838**: :ref:`sphx_glr_auto_examples_plot_bar.py` (``plot_bar.py``) +- **00:03.557**: :ref:`sphx_glr_auto_examples_plot_stacked.py` (``plot_stacked.py``) +- **00:01.408**: :ref:`sphx_glr_auto_examples_plot_tow.py` (``plot_tow.py``) +- **00:01.126**: :ref:`sphx_glr_auto_examples_plot_line.py` (``plot_line.py``) +- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_chloropleth.py` (``plot_chloropleth.py``) diff --git a/docs/html/_sources/code.rst.txt b/docs/html/_sources/code.rst.txt new file mode 100644 index 0000000..01cb60b --- /dev/null +++ b/docs/html/_sources/code.rst.txt @@ -0,0 +1,5 @@ +Auto Generated Documentation +============================ + +.. automodule:: rick + :members: \ No newline at end of file diff --git a/docs/html/_sources/index.rst.txt b/docs/html/_sources/index.rst.txt new file mode 100644 index 0000000..9bde69a --- /dev/null +++ b/docs/html/_sources/index.rst.txt @@ -0,0 +1,25 @@ +.. VFH Charts documentation master file, created by + sphinx-quickstart on Tue Jul 16 16:26:10 2019. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +Repeatable Information Charts Kit README +========================================== + +This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions. + +.. toctree:: + :maxdepth: 2 + :caption: Contents: + + code + auto_examples/index + + + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` diff --git a/docs/html/_static/alabaster.css b/docs/html/_static/alabaster.css new file mode 100644 index 0000000..be65b13 --- /dev/null +++ b/docs/html/_static/alabaster.css @@ -0,0 +1,693 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +@import url("basic.css"); + +/* -- page layout ----------------------------------------------------------- */ + +body { + font-family: 'goudy old style', 'minion pro', 'bell mt', Georgia, 'Hiragino Mincho Pro', serif; + font-size: 17px; + background-color: #fff; + color: #000; + margin: 0; + padding: 0; +} + + +div.document { + width: 940px; + margin: 30px auto 0 auto; 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Without this, docutils' magical list fuckery causes inconsistent + * formatting between different release sub-lists. + */ +div#changelog > div.section > ul > li > p:only-child { + margin-bottom: 0; +} + +/* Hide fugly table cell borders in ..bibliography:: directive output */ +table.docutils.citation, table.docutils.citation td, table.docutils.citation th { + border: none; + /* Below needed in some edge cases; if not applied, bottom shadows appear */ + -moz-box-shadow: none; + -webkit-box-shadow: none; + box-shadow: none; +} \ No newline at end of file diff --git a/docs/html/_static/basic.css b/docs/html/_static/basic.css new file mode 100644 index 0000000..c41d718 --- /dev/null +++ b/docs/html/_static/basic.css @@ -0,0 +1,763 @@ +/* + * basic.css + * ~~~~~~~~~ + * + * Sphinx stylesheet -- basic theme. + * + * :copyright: Copyright 2007-2019 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/* -- main layout 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li.goodmatch a { + font-weight: bold; +} + +/* -- index page ------------------------------------------------------------ */ + +table.contentstable { + width: 90%; + margin-left: auto; + margin-right: auto; +} + +table.contentstable p.biglink { + line-height: 150%; +} + +a.biglink { + font-size: 1.3em; +} + +span.linkdescr { + font-style: italic; + padding-top: 5px; + font-size: 90%; +} + +/* -- general index --------------------------------------------------------- */ + +table.indextable { + width: 100%; +} + +table.indextable td { + text-align: left; + vertical-align: top; +} + +table.indextable ul { + margin-top: 0; + margin-bottom: 0; + list-style-type: none; +} + +table.indextable > tbody > tr > td > ul { + padding-left: 0em; +} + +table.indextable tr.pcap { + height: 10px; +} + +table.indextable tr.cap { + margin-top: 10px; + background-color: #f2f2f2; +} + +img.toggler { + margin-right: 3px; + margin-top: 3px; + cursor: pointer; +} + +div.modindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +div.genindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +/* -- domain module index --------------------------------------------------- */ + +table.modindextable td { + padding: 2px; + border-collapse: collapse; +} + +/* -- general body styles --------------------------------------------------- */ + +div.body { + min-width: 450px; + max-width: 800px; +} + +div.body p, div.body dd, div.body li, div.body blockquote { + -moz-hyphens: auto; + -ms-hyphens: auto; + -webkit-hyphens: auto; + hyphens: auto; +} + +a.headerlink { + visibility: hidden; +} + +a.brackets:before, +span.brackets > a:before{ + content: "["; +} + +a.brackets:after, +span.brackets > a:after { + content: "]"; +} + +h1:hover > a.headerlink, +h2:hover > a.headerlink, +h3:hover > a.headerlink, +h4:hover > a.headerlink, +h5:hover > a.headerlink, +h6:hover > 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right; +} + +/* -- sidebars -------------------------------------------------------------- */ + +div.sidebar { + margin: 0 0 0.5em 1em; + border: 1px solid #ddb; + padding: 7px 7px 0 7px; + background-color: #ffe; + width: 40%; + float: right; +} + +p.sidebar-title { + font-weight: bold; +} + +/* -- topics ---------------------------------------------------------------- */ + +div.topic { + border: 1px solid #ccc; + padding: 7px 7px 0 7px; + margin: 10px 0 10px 0; +} + +p.topic-title { + font-size: 1.1em; + font-weight: bold; + margin-top: 10px; +} + +/* -- admonitions ----------------------------------------------------------- */ + +div.admonition { + margin-top: 10px; + margin-bottom: 10px; + padding: 7px; +} + +div.admonition dt { + font-weight: bold; +} + +div.admonition dl { + margin-bottom: 0; +} + +p.admonition-title { + margin: 0px 10px 5px 0px; + font-weight: bold; +} + +div.body p.centered { + text-align: center; + margin-top: 25px; +} + +/* -- tables ---------------------------------------------------------------- */ + +table.docutils { + border: 0; + border-collapse: collapse; +} + +table.align-center { + margin-left: auto; + margin-right: auto; +} + +table.align-default { + margin-left: auto; + margin-right: auto; +} + +table caption span.caption-number { + font-style: italic; +} + +table caption span.caption-text { +} + +table.docutils td, table.docutils th { + padding: 1px 8px 1px 5px; + border-top: 0; + border-left: 0; + border-right: 0; + border-bottom: 1px solid #aaa; +} + +table.footnote td, table.footnote th { + border: 0 !important; +} + +th { + text-align: left; + padding-right: 5px; +} + +table.citation { + border-left: solid 1px gray; + margin-left: 1px; +} + +table.citation td { + border-bottom: none; +} + +th > p:first-child, +td > p:first-child { + margin-top: 0px; +} + +th > p:last-child, +td > p:last-child { + margin-bottom: 0px; +} + +/* -- figures --------------------------------------------------------------- */ + +div.figure { + margin: 0.5em; + padding: 0.5em; +} + +div.figure p.caption { + padding: 0.3em; +} + +div.figure p.caption span.caption-number { + font-style: italic; +} + +div.figure p.caption span.caption-text { +} + +/* -- field list styles ----------------------------------------------------- */ + +table.field-list td, table.field-list th { + border: 0 !important; +} + +.field-list ul { + margin: 0; + padding-left: 1em; +} + +.field-list p { + margin: 0; +} + +.field-name { + -moz-hyphens: manual; + -ms-hyphens: manual; + -webkit-hyphens: manual; + hyphens: manual; +} + +/* -- hlist styles ---------------------------------------------------------- */ + +table.hlist td { + vertical-align: top; +} + + +/* -- other body styles ----------------------------------------------------- */ + +ol.arabic { + list-style: decimal; +} + +ol.loweralpha { + list-style: lower-alpha; +} + +ol.upperalpha { + list-style: upper-alpha; +} + +ol.lowerroman { + list-style: lower-roman; +} + +ol.upperroman { + list-style: upper-roman; +} + +li > p:first-child { + margin-top: 0px; +} + +li > p:last-child { + margin-bottom: 0px; +} + +dl.footnote > dt, +dl.citation > dt { + float: left; +} + +dl.footnote > dd, +dl.citation > dd { + margin-bottom: 0em; +} + +dl.footnote > dd:after, +dl.citation > dd:after { + content: ""; + clear: both; +} + +dl.field-list { + display: flex; + flex-wrap: wrap; +} + +dl.field-list > dt { + flex-basis: 20%; + font-weight: bold; + word-break: break-word; +} + +dl.field-list > dt:after { + content: ":"; +} + +dl.field-list > dd { + flex-basis: 70%; + padding-left: 1em; + margin-left: 0em; + margin-bottom: 0em; +} + +dl { + margin-bottom: 15px; +} + +dd > p:first-child { + margin-top: 0px; +} + +dd ul, dd table { + margin-bottom: 10px; +} + +dd { + margin-top: 3px; + margin-bottom: 10px; + margin-left: 30px; +} + +dt:target, span.highlighted { + background-color: #fbe54e; +} + +rect.highlighted { + fill: #fbe54e; +} + +dl.glossary dt { + 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foreignObject").is("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.className = className; + } + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + node.parentNode.insertBefore(span, node.parentNode.insertBefore( + document.createTextNode(val.substr(pos + text.length)), + node.nextSibling)); + node.nodeValue = val.substr(0, pos); + if (isInSVG) { + var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect"); + var bbox = node.parentElement.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute('class', className); + addItems.push({ + "parent": node.parentNode, + "target": rect}); + } + } + } + else if (!jQuery(node).is("button, select, textarea")) { + jQuery.each(node.childNodes, function() { + highlight(this, addItems); + }); + } + } + var addItems = []; + var result = this.each(function() { + highlight(this, addItems); + }); + for (var i = 0; i < addItems.length; ++i) { + jQuery(addItems[i].parent).before(addItems[i].target); + } + return result; +}; + +/* + * backward compatibility for jQuery.browser + * This will be supported until firefox bug is fixed. + */ +if (!jQuery.browser) { + jQuery.uaMatch = function(ua) { + ua = ua.toLowerCase(); + + var match = /(chrome)[ \/]([\w.]+)/.exec(ua) || + /(webkit)[ \/]([\w.]+)/.exec(ua) || + /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) || + /(msie) ([\w.]+)/.exec(ua) || + ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) || + []; + + return { + browser: match[ 1 ] || "", + version: match[ 2 ] || "0" + }; + }; + jQuery.browser = {}; + jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true; +} + +/** + * Small JavaScript module for the documentation. + */ +var Documentation = { + + init : function() { + this.fixFirefoxAnchorBug(); + this.highlightSearchWords(); + this.initIndexTable(); + if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) { + this.initOnKeyListeners(); + } + }, + + /** + * i18n support + */ + TRANSLATIONS : {}, + PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; }, + LOCALE : 'unknown', + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext : function(string) { + var translated = Documentation.TRANSLATIONS[string]; + if (typeof translated === 'undefined') + return string; + return (typeof translated === 'string') ? translated : translated[0]; + }, + + ngettext : function(singular, plural, n) { + var translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated === 'undefined') + return (n == 1) ? singular : plural; + return translated[Documentation.PLURALEXPR(n)]; + }, + + addTranslations : function(catalog) { + for (var key in catalog.messages) + this.TRANSLATIONS[key] = catalog.messages[key]; + this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')'); + this.LOCALE = catalog.locale; + }, + + /** + * add context elements like header anchor links + */ + addContextElements : function() { + $('div[id] > :header:first').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this headline')). + appendTo(this); + }); + $('dt[id]').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this definition')). + appendTo(this); + }); + }, + + /** + * workaround a firefox stupidity + * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075 + */ + fixFirefoxAnchorBug : function() { + if (document.location.hash && $.browser.mozilla) + window.setTimeout(function() { + document.location.href += ''; + }, 10); + }, + + /** + * highlight the search words provided in the url in the text + */ + highlightSearchWords : function() { + var params = $.getQueryParameters(); + var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : []; + if (terms.length) { + var body = $('div.body'); + if (!body.length) { + body = $('body'); + } + window.setTimeout(function() { + $.each(terms, function() { + body.highlightText(this.toLowerCase(), 'highlighted'); + }); + }, 10); + $('

        ' + _('Hide Search Matches') + '

        ') + .appendTo($('#searchbox')); + } + }, + + /** + * init the domain index toggle buttons + */ + initIndexTable : function() { + var togglers = $('img.toggler').click(function() { + var src = $(this).attr('src'); + var idnum = $(this).attr('id').substr(7); + $('tr.cg-' + idnum).toggle(); + if (src.substr(-9) === 'minus.png') + $(this).attr('src', src.substr(0, src.length-9) + 'plus.png'); + else + $(this).attr('src', src.substr(0, src.length-8) + 'minus.png'); + }).css('display', ''); + if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) { + togglers.click(); + } + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords : function() { + $('#searchbox .highlight-link').fadeOut(300); + $('span.highlighted').removeClass('highlighted'); + }, + + /** + * make the url absolute + */ + makeURL : function(relativeURL) { + return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL; + }, + + /** + * get the current relative url + */ + getCurrentURL : function() { + var path = document.location.pathname; + var parts = path.split(/\//); + $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() { + if (this === '..') + parts.pop(); + }); + var url = parts.join('/'); + return path.substring(url.lastIndexOf('/') + 1, path.length - 1); + }, + + initOnKeyListeners: function() { + $(document).keyup(function(event) { + var activeElementType = document.activeElement.tagName; + // don't navigate when in search box or textarea + if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT') { + switch (event.keyCode) { + case 37: // left + var prevHref = $('link[rel="prev"]').prop('href'); + if (prevHref) { + window.location.href = prevHref; + return false; + } + case 39: // right + var nextHref = $('link[rel="next"]').prop('href'); + if (nextHref) { + window.location.href = nextHref; + return false; + } + } + } + }); + } +}; + +// quick alias for translations +_ = Documentation.gettext; + +$(document).ready(function() { + Documentation.init(); +}); diff --git a/docs/html/_static/documentation_options.js b/docs/html/_static/documentation_options.js new file mode 100644 index 0000000..b810979 --- /dev/null +++ b/docs/html/_static/documentation_options.js @@ -0,0 +1,10 @@ +var DOCUMENTATION_OPTIONS = { + URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), + VERSION: '2019-07-16', + LANGUAGE: 'None', + COLLAPSE_INDEX: false, + FILE_SUFFIX: '.html', + HAS_SOURCE: true, + SOURCELINK_SUFFIX: '.txt', + NAVIGATION_WITH_KEYS: false +}; \ No newline at end of file diff --git a/docs/html/_static/file.png b/docs/html/_static/file.png new file mode 100644 index 0000000000000000000000000000000000000000..a858a410e4faa62ce324d814e4b816fff83a6fb3 GIT binary patch literal 286 zcmV+(0pb3MP)s`hMrGg#P~ix$^RISR_I47Y|r1 z_CyJOe}D1){SET-^Amu_i71Lt6eYfZjRyw@I6OQAIXXHDfiX^GbOlHe=Ae4>0m)d(f|Me07*qoM6N<$f}vM^LjV8( literal 0 HcmV?d00001 diff --git a/docs/html/_static/gallery.css b/docs/html/_static/gallery.css new file mode 100644 index 0000000..cc43d0e --- /dev/null +++ b/docs/html/_static/gallery.css @@ -0,0 +1,192 @@ +/* +Sphinx-Gallery has compatible CSS to fix default sphinx themes +Tested for Sphinx 1.3.1 for all themes: default, alabaster, sphinxdoc, +scrolls, agogo, traditional, nature, haiku, pyramid +Tested for Read the Docs theme 0.1.7 */ +.sphx-glr-thumbcontainer { + background: #fff; + border: solid #fff 1px; + -moz-border-radius: 5px; + -webkit-border-radius: 5px; + border-radius: 5px; + box-shadow: none; + float: left; + margin: 5px; + min-height: 230px; + padding-top: 5px; + position: relative; +} +.sphx-glr-thumbcontainer:hover { + border: solid #b4ddfc 1px; + box-shadow: 0 0 15px rgba(142, 176, 202, 0.5); +} +.sphx-glr-thumbcontainer a.internal { + bottom: 0; + display: block; + left: 0; + padding: 150px 10px 0; + position: absolute; + right: 0; + top: 0; +} +/* Next one is to avoid Sphinx traditional theme to cover all the +thumbnail with its default link Background color */ +.sphx-glr-thumbcontainer a.internal:hover { + background-color: transparent; +} + +.sphx-glr-thumbcontainer p { + margin: 0 0 .1em 0; +} +.sphx-glr-thumbcontainer .figure { + margin: 10px; + width: 160px; +} +.sphx-glr-thumbcontainer img { + display: inline; + max-height: 160px; + width: 160px; +} +.sphx-glr-thumbcontainer[tooltip]:hover:after { + background: rgba(0, 0, 0, 0.8); + -webkit-border-radius: 5px; + -moz-border-radius: 5px; + border-radius: 5px; + color: #fff; + content: attr(tooltip); + left: 95%; + padding: 5px 15px; + position: absolute; + z-index: 98; + width: 220px; + bottom: 52%; +} +.sphx-glr-thumbcontainer[tooltip]:hover:before { + border: solid; + border-color: #333 transparent; + border-width: 18px 0 0 20px; + bottom: 58%; + content: ''; + left: 85%; + position: absolute; + z-index: 99; +} + +.highlight-pytb pre { + background-color: #ffe4e4; + border: 1px solid #f66; + margin-top: 10px; + padding: 7px; +} + +.sphx-glr-script-out { + color: #888; + margin: 0; +} +p.sphx-glr-script-out { + padding-top: 0.7em; +} +.sphx-glr-script-out .highlight { + background-color: transparent; + margin-left: 2.5em; + margin-top: -2.1em; +} +.sphx-glr-script-out .highlight pre { + background-color: #fafae2; + border: 0; + max-height: 30em; + overflow: auto; + padding-left: 1ex; + margin: 0px; + word-break: break-word; +} +.sphx-glr-script-out + p { + margin-top: 1.8em; +} +blockquote.sphx-glr-script-out { + margin-left: 0pt; +} + +div.sphx-glr-footer { + text-align: center; +} + +div.binder-badge { + margin: 1em auto; + vertical-align: middle; +} + +div.sphx-glr-download { + margin: 1em auto; + vertical-align: middle; +} + +div.sphx-glr-download a { + background-color: #ffc; + background-image: linear-gradient(to bottom, #FFC, #d5d57e); + border-radius: 4px; + border: 1px solid #c2c22d; + color: #000; + display: inline-block; + font-weight: bold; + padding: 1ex; + text-align: center; +} + +div.sphx-glr-download code.download { + display: inline-block; + white-space: normal; + word-break: normal; + overflow-wrap: break-word; + /* border and background are given by the enclosing 'a' */ + border: none; + background: none; +} + +div.sphx-glr-download a:hover { + box-shadow: inset 0 1px 0 rgba(255,255,255,.1), 0 1px 5px rgba(0,0,0,.25); + text-decoration: none; + background-image: none; + background-color: #d5d57e; +} + +.sphx-glr-example-title > :target::before { + display: block; + content: ""; + margin-top: -50px; + height: 50px; + visibility: hidden; +} + +ul.sphx-glr-horizontal { + list-style: none; + padding: 0; +} +ul.sphx-glr-horizontal li { + display: inline; +} +ul.sphx-glr-horizontal img { + height: auto !important; +} + +.sphx-glr-single-img { + margin: auto; + display: block; + max-width: 100%; +} + +.sphx-glr-multi-img { + max-width: 42%; + height: auto; +} + +p.sphx-glr-signature a.reference.external { + -moz-border-radius: 5px; + -webkit-border-radius: 5px; + border-radius: 5px; + padding: 3px; + font-size: 75%; + text-align: right; + margin-left: auto; + display: table; +} diff --git a/docs/html/_static/jquery-3.2.1.js b/docs/html/_static/jquery-3.2.1.js new file mode 100644 index 0000000..d2d8ca4 --- /dev/null +++ b/docs/html/_static/jquery-3.2.1.js @@ -0,0 +1,10253 @@ +/*! + * jQuery JavaScript Library v3.2.1 + * https://jquery.com/ + * + * Includes Sizzle.js + * https://sizzlejs.com/ + * + * Copyright JS Foundation and other contributors + * Released under the MIT license + * https://jquery.org/license + * + * Date: 2017-03-20T18:59Z + */ +( function( global, factory ) { + + "use strict"; + + if ( typeof module === "object" && typeof module.exports === "object" ) { + + // For CommonJS and CommonJS-like environments where a proper `window` + // is present, execute the factory and get jQuery. + // For environments that do not have a `window` with a `document` + // (such as Node.js), expose a factory as module.exports. + // This accentuates the need for the creation of a real `window`. + // e.g. var jQuery = require("jquery")(window); + // See ticket #14549 for more info. + module.exports = global.document ? + factory( global, true ) : + function( w ) { + if ( !w.document ) { + throw new Error( "jQuery requires a window with a document" ); + } + return factory( w ); + }; + } else { + factory( global ); + } + +// Pass this if window is not defined yet +} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) { + +// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1 +// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode +// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common +// enough that all such attempts are guarded in a try block. +"use strict"; + +var arr = []; + +var document = window.document; + +var getProto = Object.getPrototypeOf; + +var slice = arr.slice; + +var concat = arr.concat; + +var push = arr.push; + +var indexOf = arr.indexOf; + +var class2type = {}; + +var toString = class2type.toString; + +var hasOwn = class2type.hasOwnProperty; + +var fnToString = hasOwn.toString; + +var ObjectFunctionString = fnToString.call( Object ); + +var support = {}; + + + + function DOMEval( code, doc ) { + doc = doc || document; + + var script = doc.createElement( "script" ); + + script.text = code; + doc.head.appendChild( script ).parentNode.removeChild( script ); + } +/* global Symbol */ +// Defining this global in .eslintrc.json would create a danger of using the global +// unguarded in another place, it seems safer to define global only for this module + + + +var + version = "3.2.1", + + // Define a local copy of jQuery + jQuery = function( selector, context ) { + + // The jQuery object is actually just the init constructor 'enhanced' + // Need init if jQuery is called (just allow error to be thrown if not included) + return new jQuery.fn.init( selector, context ); + }, + + // Support: Android <=4.0 only + // Make sure we trim BOM and NBSP + rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g, + + // Matches dashed string for camelizing + rmsPrefix = /^-ms-/, + rdashAlpha = /-([a-z])/g, + + // Used by jQuery.camelCase as callback to replace() + fcamelCase = function( all, letter ) { + return letter.toUpperCase(); + }; + +jQuery.fn = jQuery.prototype = { + + // The current version of jQuery being used + jquery: version, + + constructor: jQuery, + + // The default length of a jQuery object is 0 + length: 0, + + toArray: function() { + return slice.call( this ); + }, + + // Get the Nth element in the matched element set OR + // Get the whole matched element set as a clean array + get: function( num ) { + + // Return all the elements in a clean array + if ( num == null ) { + return slice.call( this ); + } + + // Return just the one element from the set + return num < 0 ? this[ num + this.length ] : this[ num ]; + }, + + // Take an array of elements and push it onto the stack + // (returning the new matched element set) + pushStack: function( elems ) { + + // Build a new jQuery matched element set + var ret = jQuery.merge( this.constructor(), elems ); + + // Add the old object onto the stack (as a reference) + ret.prevObject = this; + + // Return the newly-formed element set + return ret; + }, + + // Execute a callback for every element in the matched set. + each: function( callback ) { + return jQuery.each( this, callback ); + }, + + map: function( callback ) { + return this.pushStack( jQuery.map( this, function( elem, i ) { + return callback.call( elem, i, elem ); + } ) ); + }, + + slice: function() { + return this.pushStack( slice.apply( this, arguments ) ); + }, + + first: function() { + return this.eq( 0 ); + }, + + last: function() { + return this.eq( -1 ); + }, + + eq: function( i ) { + var len = this.length, + j = +i + ( i < 0 ? len : 0 ); + return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] ); + }, + + end: function() { + return this.prevObject || this.constructor(); + }, + + // For internal use only. + // Behaves like an Array's method, not like a jQuery method. + push: push, + sort: arr.sort, + splice: arr.splice +}; + +jQuery.extend = jQuery.fn.extend = function() { + var options, name, src, copy, copyIsArray, clone, + target = arguments[ 0 ] || {}, + i = 1, + length = arguments.length, + deep = false; + + // Handle a deep copy situation + if ( typeof target === "boolean" ) { + deep = target; + + // Skip the boolean and the target + target = arguments[ i ] || {}; + i++; + } + + // Handle case when target is a string or something (possible in deep copy) + if ( typeof target !== "object" && !jQuery.isFunction( target ) ) { + target = {}; + } + + // Extend jQuery itself if only one argument is passed + if ( i === length ) { + target = this; + i--; + } + + for ( ; i < length; i++ ) { + + // Only deal with non-null/undefined values + if ( ( options = arguments[ i ] ) != null ) { + + // Extend the base object + for ( name in options ) { + src = target[ name ]; + copy = options[ name ]; + + // Prevent never-ending loop + if ( target === copy ) { + continue; + } + + // Recurse if we're merging plain objects or arrays + if ( deep && copy && ( jQuery.isPlainObject( copy ) || + ( copyIsArray = Array.isArray( copy ) ) ) ) { + + if ( copyIsArray ) { + copyIsArray = false; + clone = src && Array.isArray( src ) ? src : []; + + } else { + clone = src && jQuery.isPlainObject( src ) ? src : {}; + } + + // Never move original objects, clone them + target[ name ] = jQuery.extend( deep, clone, copy ); + + // Don't bring in undefined values + } else if ( copy !== undefined ) { + target[ name ] = copy; + } + } + } + } + + // Return the modified object + return target; +}; + +jQuery.extend( { + + // Unique for each copy of jQuery on the page + expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ), + + // Assume jQuery is ready without the ready module + isReady: true, + + error: function( msg ) { + throw new Error( msg ); + }, + + noop: function() {}, + + isFunction: function( obj ) { + return jQuery.type( obj ) === "function"; + }, + + isWindow: function( obj ) { + return obj != null && obj === obj.window; + }, + + isNumeric: function( obj ) { + + // As of jQuery 3.0, isNumeric is limited to + // strings and numbers (primitives or objects) + // that can be coerced to finite numbers (gh-2662) + var type = jQuery.type( obj ); + return ( type === "number" || type === "string" ) && + + // parseFloat NaNs numeric-cast false positives ("") + // ...but misinterprets leading-number strings, particularly hex literals ("0x...") + // subtraction forces infinities to NaN + !isNaN( obj - parseFloat( obj ) ); + }, + + isPlainObject: function( obj ) { + var proto, Ctor; + + // Detect obvious negatives + // Use toString instead of jQuery.type to catch host objects + if ( !obj || toString.call( obj ) !== "[object Object]" ) { + return false; + } + + proto = getProto( obj ); + + // Objects with no prototype (e.g., `Object.create( null )`) are plain + if ( !proto ) { + return true; + } + + // Objects with prototype are plain iff they were constructed by a global Object function + Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor; + return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString; + }, + + isEmptyObject: function( obj ) { + + /* eslint-disable no-unused-vars */ + // See https://github.com/eslint/eslint/issues/6125 + var name; + + for ( name in obj ) { + return false; + } + return true; + }, + + type: function( obj ) { + if ( obj == null ) { + return obj + ""; + } + + // Support: Android <=2.3 only (functionish RegExp) + return typeof obj === "object" || typeof obj === "function" ? + class2type[ toString.call( obj ) ] || "object" : + typeof obj; + }, + + // Evaluates a script in a global context + globalEval: function( code ) { + DOMEval( code ); + }, + + // Convert dashed to camelCase; used by the css and data modules + // Support: IE <=9 - 11, Edge 12 - 13 + // Microsoft forgot to hump their vendor prefix (#9572) + camelCase: function( string ) { + return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); + }, + + each: function( obj, callback ) { + var length, i = 0; + + if ( isArrayLike( obj ) ) { + length = obj.length; + for ( ; i < length; i++ ) { + if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { + break; + } + } + } else { + for ( i in obj ) { + if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { + break; + } + } + } + + return obj; + }, + + // Support: Android <=4.0 only + trim: function( text ) { + return text == null ? + "" : + ( text + "" ).replace( rtrim, "" ); + }, + + // results is for internal usage only + makeArray: function( arr, results ) { + var ret = results || []; + + if ( arr != null ) { + if ( isArrayLike( Object( arr ) ) ) { + jQuery.merge( ret, + typeof arr === "string" ? + [ arr ] : arr + ); + } else { + push.call( ret, arr ); + } + } + + return ret; + }, + + inArray: function( elem, arr, i ) { + return arr == null ? -1 : indexOf.call( arr, elem, i ); + }, + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + merge: function( first, second ) { + var len = +second.length, + j = 0, + i = first.length; + + for ( ; j < len; j++ ) { + first[ i++ ] = second[ j ]; + } + + first.length = i; + + return first; + }, + + grep: function( elems, callback, invert ) { + var callbackInverse, + matches = [], + i = 0, + length = elems.length, + callbackExpect = !invert; + + // Go through the array, only saving the items + // that pass the validator function + for ( ; i < length; i++ ) { + callbackInverse = !callback( elems[ i ], i ); + if ( callbackInverse !== callbackExpect ) { + matches.push( elems[ i ] ); + } + } + + return matches; + }, + + // arg is for internal usage only + map: function( elems, callback, arg ) { + var length, value, + i = 0, + ret = []; + + // Go through the array, translating each of the items to their new values + if ( isArrayLike( elems ) ) { + length = elems.length; + for ( ; i < length; i++ ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret.push( value ); + } + } + + // Go through every key on the object, + } else { + for ( i in elems ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret.push( value ); + } + } + } + + // Flatten any nested arrays + return concat.apply( [], ret ); + }, + + // A global GUID counter for objects + guid: 1, + + // Bind a function to a context, optionally partially applying any + // arguments. + proxy: function( fn, context ) { + var tmp, args, proxy; + + if ( typeof context === "string" ) { + tmp = fn[ context ]; + context = fn; + fn = tmp; + } + + // Quick check to determine if target is callable, in the spec + // this throws a TypeError, but we will just return undefined. + if ( !jQuery.isFunction( fn ) ) { + return undefined; + } + + // Simulated bind + args = slice.call( arguments, 2 ); + proxy = function() { + return fn.apply( context || this, args.concat( slice.call( arguments ) ) ); + }; + + // Set the guid of unique handler to the same of original handler, so it can be removed + proxy.guid = fn.guid = fn.guid || jQuery.guid++; + + return proxy; + }, + + now: Date.now, + + // jQuery.support is not used in Core but other projects attach their + // properties to it so it needs to exist. + support: support +} ); + +if ( typeof Symbol === "function" ) { + jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ]; +} + +// Populate the class2type map +jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ), +function( i, name ) { + class2type[ "[object " + name + "]" ] = name.toLowerCase(); +} ); + +function isArrayLike( obj ) { + + // Support: real iOS 8.2 only (not reproducible in simulator) + // `in` check used to prevent JIT error (gh-2145) + // hasOwn isn't used here due to false negatives + // regarding Nodelist length in IE + var length = !!obj && "length" in obj && obj.length, + type = jQuery.type( obj ); + + if ( type === "function" || jQuery.isWindow( obj ) ) { + return false; + } + + return type === "array" || length === 0 || + typeof length === "number" && length > 0 && ( length - 1 ) in obj; +} +var Sizzle = +/*! + * Sizzle CSS Selector Engine v2.3.3 + * https://sizzlejs.com/ + * + * Copyright jQuery Foundation and other contributors + * Released under the MIT license + * http://jquery.org/license + * + * Date: 2016-08-08 + */ +(function( window ) { + +var i, + support, + Expr, + getText, + isXML, + tokenize, + compile, + select, + outermostContext, + sortInput, + hasDuplicate, + + // Local document vars + setDocument, + document, + docElem, + documentIsHTML, + rbuggyQSA, + rbuggyMatches, + matches, + contains, + + // Instance-specific data + expando = "sizzle" + 1 * new Date(), + preferredDoc = window.document, + dirruns = 0, + done = 0, + classCache = createCache(), + tokenCache = createCache(), + compilerCache = createCache(), + sortOrder = function( a, b ) { + if ( a === b ) { + hasDuplicate = true; + } + return 0; + }, + + // Instance methods + hasOwn = ({}).hasOwnProperty, + arr = [], + pop = arr.pop, + push_native = arr.push, + push = arr.push, + slice = arr.slice, + // Use a stripped-down indexOf as it's faster than native + // https://jsperf.com/thor-indexof-vs-for/5 + indexOf = function( list, elem ) { + var i = 0, + len = list.length; + for ( ; i < len; i++ ) { + if ( list[i] === elem ) { + return i; + } + } + return -1; + }, + + booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped", + + // Regular expressions + + // http://www.w3.org/TR/css3-selectors/#whitespace + whitespace = "[\\x20\\t\\r\\n\\f]", + + // http://www.w3.org/TR/CSS21/syndata.html#value-def-identifier + identifier = "(?:\\\\.|[\\w-]|[^\0-\\xa0])+", + + // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors + attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace + + // Operator (capture 2) + "*([*^$|!~]?=)" + whitespace + + // "Attribute values must be CSS identifiers [capture 5] or strings [capture 3 or capture 4]" + "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + whitespace + + "*\\]", + + pseudos = ":(" + identifier + ")(?:\\((" + + // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: + // 1. quoted (capture 3; capture 4 or capture 5) + "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + + // 2. simple (capture 6) + "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + + // 3. anything else (capture 2) + ".*" + + ")\\)|)", + + // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter + rwhitespace = new RegExp( whitespace + "+", "g" ), + rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + whitespace + "+$", "g" ), + + rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), + rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + "*" ), + + rattributeQuotes = new RegExp( "=" + whitespace + "*([^\\]'\"]*?)" + whitespace + "*\\]", "g" ), + + rpseudo = new RegExp( pseudos ), + ridentifier = new RegExp( "^" + identifier + "$" ), + + matchExpr = { + "ID": new RegExp( "^#(" + identifier + ")" ), + "CLASS": new RegExp( "^\\.(" + identifier + ")" ), + "TAG": new RegExp( "^(" + identifier + "|[*])" ), + "ATTR": new RegExp( "^" + attributes ), + "PSEUDO": new RegExp( "^" + pseudos ), + "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + whitespace + + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + whitespace + + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), + "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), + // For use in libraries implementing .is() + // We use this for POS matching in `select` + "needsContext": new RegExp( "^" + whitespace + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + + whitespace + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) + }, + + rinputs = /^(?:input|select|textarea|button)$/i, + rheader = /^h\d$/i, + + rnative = /^[^{]+\{\s*\[native \w/, + + // Easily-parseable/retrievable ID or TAG or CLASS selectors + rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, + + rsibling = /[+~]/, + + // CSS escapes + // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters + runescape = new RegExp( "\\\\([\\da-f]{1,6}" + whitespace + "?|(" + whitespace + ")|.)", "ig" ), + funescape = function( _, escaped, escapedWhitespace ) { + var high = "0x" + escaped - 0x10000; + // NaN means non-codepoint + // Support: Firefox<24 + // Workaround erroneous numeric interpretation of +"0x" + return high !== high || escapedWhitespace ? + escaped : + high < 0 ? + // BMP codepoint + String.fromCharCode( high + 0x10000 ) : + // Supplemental Plane codepoint (surrogate pair) + String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); + }, + + // CSS string/identifier serialization + // https://drafts.csswg.org/cssom/#common-serializing-idioms + rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g, + fcssescape = function( ch, asCodePoint ) { + if ( asCodePoint ) { + + // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER + if ( ch === "\0" ) { + return "\uFFFD"; + } + + // Control characters and (dependent upon position) numbers get escaped as code points + return ch.slice( 0, -1 ) + "\\" + ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " "; + } + + // Other potentially-special ASCII characters get backslash-escaped + return "\\" + ch; + }, + + // Used for iframes + // See setDocument() + // Removing the function wrapper causes a "Permission Denied" + // error in IE + unloadHandler = function() { + setDocument(); + }, + + disabledAncestor = addCombinator( + function( elem ) { + return elem.disabled === true && ("form" in elem || "label" in elem); + }, + { dir: "parentNode", next: "legend" } + ); + +// Optimize for push.apply( _, NodeList ) +try { + push.apply( + (arr = slice.call( preferredDoc.childNodes )), + preferredDoc.childNodes + ); + // Support: Android<4.0 + // Detect silently failing push.apply + arr[ preferredDoc.childNodes.length ].nodeType; +} catch ( e ) { + push = { apply: arr.length ? + + // Leverage slice if possible + function( target, els ) { + push_native.apply( target, slice.call(els) ); + } : + + // Support: IE<9 + // Otherwise append directly + function( target, els ) { + var j = target.length, + i = 0; + // Can't trust NodeList.length + while ( (target[j++] = els[i++]) ) {} + target.length = j - 1; + } + }; +} + +function Sizzle( selector, context, results, seed ) { + var m, i, elem, nid, match, groups, newSelector, + newContext = context && context.ownerDocument, + + // nodeType defaults to 9, since context defaults to document + nodeType = context ? context.nodeType : 9; + + results = results || []; + + // Return early from calls with invalid selector or context + if ( typeof selector !== "string" || !selector || + nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) { + + return results; + } + + // Try to shortcut find operations (as opposed to filters) in HTML documents + if ( !seed ) { + + if ( ( context ? context.ownerDocument || context : preferredDoc ) !== document ) { + setDocument( context ); + } + context = context || document; + + if ( documentIsHTML ) { + + // If the selector is sufficiently simple, try using a "get*By*" DOM method + // (excepting DocumentFragment context, where the methods don't exist) + if ( nodeType !== 11 && (match = rquickExpr.exec( selector )) ) { + + // ID selector + if ( (m = match[1]) ) { + + // Document context + if ( nodeType === 9 ) { + if ( (elem = context.getElementById( m )) ) { + + // Support: IE, Opera, Webkit + // TODO: identify versions + // getElementById can match elements by name instead of ID + if ( elem.id === m ) { + results.push( elem ); + return results; + } + } else { + return results; + } + + // Element context + } else { + + // Support: IE, Opera, Webkit + // TODO: identify versions + // getElementById can match elements by name instead of ID + if ( newContext && (elem = newContext.getElementById( m )) && + contains( context, elem ) && + elem.id === m ) { + + results.push( elem ); + return results; + } + } + + // Type selector + } else if ( match[2] ) { + push.apply( results, context.getElementsByTagName( selector ) ); + return results; + + // Class selector + } else if ( (m = match[3]) && support.getElementsByClassName && + context.getElementsByClassName ) { + + push.apply( results, context.getElementsByClassName( m ) ); + return results; + } + } + + // Take advantage of querySelectorAll + if ( support.qsa && + !compilerCache[ selector + " " ] && + (!rbuggyQSA || !rbuggyQSA.test( selector )) ) { + + if ( nodeType !== 1 ) { + newContext = context; + newSelector = selector; + + // qSA looks outside Element context, which is not what we want + // Thanks to Andrew Dupont for this workaround technique + // Support: IE <=8 + // Exclude object elements + } else if ( context.nodeName.toLowerCase() !== "object" ) { + + // Capture the context ID, setting it first if necessary + if ( (nid = context.getAttribute( "id" )) ) { + nid = nid.replace( rcssescape, fcssescape ); + } else { + context.setAttribute( "id", (nid = expando) ); + } + + // Prefix every selector in the list + groups = tokenize( selector ); + i = groups.length; + while ( i-- ) { + groups[i] = "#" + nid + " " + toSelector( groups[i] ); + } + newSelector = groups.join( "," ); + + // Expand context for sibling selectors + newContext = rsibling.test( selector ) && testContext( context.parentNode ) || + context; + } + + if ( newSelector ) { + try { + push.apply( results, + newContext.querySelectorAll( newSelector ) + ); + return results; + } catch ( qsaError ) { + } finally { + if ( nid === expando ) { + context.removeAttribute( "id" ); + } + } + } + } + } + } + + // All others + return select( selector.replace( rtrim, "$1" ), context, results, seed ); +} + +/** + * Create key-value caches of limited size + * @returns {function(string, object)} Returns the Object data after storing it on itself with + * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) + * deleting the oldest entry + */ +function createCache() { + var keys = []; + + function cache( key, value ) { + // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) + if ( keys.push( key + " " ) > Expr.cacheLength ) { + // Only keep the most recent entries + delete cache[ keys.shift() ]; + } + return (cache[ key + " " ] = value); + } + return cache; +} + +/** + * Mark a function for special use by Sizzle + * @param {Function} fn The function to mark + */ +function markFunction( fn ) { + fn[ expando ] = true; + return fn; +} + +/** + * Support testing using an element + * @param {Function} fn Passed the created element and returns a boolean result + */ +function assert( fn ) { + var el = document.createElement("fieldset"); + + try { + return !!fn( el ); + } catch (e) { + return false; + } finally { + // Remove from its parent by default + if ( el.parentNode ) { + el.parentNode.removeChild( el ); + } + // release memory in IE + el = null; + } +} + +/** + * Adds the same handler for all of the specified attrs + * @param {String} attrs Pipe-separated list of attributes + * @param {Function} handler The method that will be applied + */ +function addHandle( attrs, handler ) { + var arr = attrs.split("|"), + i = arr.length; + + while ( i-- ) { + Expr.attrHandle[ arr[i] ] = handler; + } +} + +/** + * Checks document order of two siblings + * @param {Element} a + * @param {Element} b + * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b + */ +function siblingCheck( a, b ) { + var cur = b && a, + diff = cur && a.nodeType === 1 && b.nodeType === 1 && + a.sourceIndex - b.sourceIndex; + + // Use IE sourceIndex if available on both nodes + if ( diff ) { + return diff; + } + + // Check if b follows a + if ( cur ) { + while ( (cur = cur.nextSibling) ) { + if ( cur === b ) { + return -1; + } + } + } + + return a ? 1 : -1; +} + +/** + * Returns a function to use in pseudos for input types + * @param {String} type + */ +function createInputPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === type; + }; +} + +/** + * Returns a function to use in pseudos for buttons + * @param {String} type + */ +function createButtonPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return (name === "input" || name === "button") && elem.type === type; + }; +} + +/** + * Returns a function to use in pseudos for :enabled/:disabled + * @param {Boolean} disabled true for :disabled; false for :enabled + */ +function createDisabledPseudo( disabled ) { + + // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable + return function( elem ) { + + // Only certain elements can match :enabled or :disabled + // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled + // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled + if ( "form" in elem ) { + + // Check for inherited disabledness on relevant non-disabled elements: + // * listed form-associated elements in a disabled fieldset + // https://html.spec.whatwg.org/multipage/forms.html#category-listed + // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled + // * option elements in a disabled optgroup + // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled + // All such elements have a "form" property. + if ( elem.parentNode && elem.disabled === false ) { + + // Option elements defer to a parent optgroup if present + if ( "label" in elem ) { + if ( "label" in elem.parentNode ) { + return elem.parentNode.disabled === disabled; + } else { + return elem.disabled === disabled; + } + } + + // Support: IE 6 - 11 + // Use the isDisabled shortcut property to check for disabled fieldset ancestors + return elem.isDisabled === disabled || + + // Where there is no isDisabled, check manually + /* jshint -W018 */ + elem.isDisabled !== !disabled && + disabledAncestor( elem ) === disabled; + } + + return elem.disabled === disabled; + + // Try to winnow out elements that can't be disabled before trusting the disabled property. + // Some victims get caught in our net (label, legend, menu, track), but it shouldn't + // even exist on them, let alone have a boolean value. + } else if ( "label" in elem ) { + return elem.disabled === disabled; + } + + // Remaining elements are neither :enabled nor :disabled + return false; + }; +} + +/** + * Returns a function to use in pseudos for positionals + * @param {Function} fn + */ +function createPositionalPseudo( fn ) { + return markFunction(function( argument ) { + argument = +argument; + return markFunction(function( seed, matches ) { + var j, + matchIndexes = fn( [], seed.length, argument ), + i = matchIndexes.length; + + // Match elements found at the specified indexes + while ( i-- ) { + if ( seed[ (j = matchIndexes[i]) ] ) { + seed[j] = !(matches[j] = seed[j]); + } + } + }); + }); +} + +/** + * Checks a node for validity as a Sizzle context + * @param {Element|Object=} context + * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value + */ +function testContext( context ) { + return context && typeof context.getElementsByTagName !== "undefined" && context; +} + +// Expose support vars for convenience +support = Sizzle.support = {}; + +/** + * Detects XML nodes + * @param {Element|Object} elem An element or a document + * @returns {Boolean} True iff elem is a non-HTML XML node + */ +isXML = Sizzle.isXML = function( elem ) { + // documentElement is verified for cases where it doesn't yet exist + // (such as loading iframes in IE - #4833) + var documentElement = elem && (elem.ownerDocument || elem).documentElement; + return documentElement ? documentElement.nodeName !== "HTML" : false; +}; + +/** + * Sets document-related variables once based on the current document + * @param {Element|Object} [doc] An element or document object to use to set the document + * @returns {Object} Returns the current document + */ +setDocument = Sizzle.setDocument = function( node ) { + var hasCompare, subWindow, + doc = node ? node.ownerDocument || node : preferredDoc; + + // Return early if doc is invalid or already selected + if ( doc === document || doc.nodeType !== 9 || !doc.documentElement ) { + return document; + } + + // Update global variables + document = doc; + docElem = document.documentElement; + documentIsHTML = !isXML( document ); + + // Support: IE 9-11, Edge + // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936) + if ( preferredDoc !== document && + (subWindow = document.defaultView) && subWindow.top !== subWindow ) { + + // Support: IE 11, Edge + if ( subWindow.addEventListener ) { + subWindow.addEventListener( "unload", unloadHandler, false ); + + // Support: IE 9 - 10 only + } else if ( subWindow.attachEvent ) { + subWindow.attachEvent( "onunload", unloadHandler ); + } + } + + /* Attributes + ---------------------------------------------------------------------- */ + + // Support: IE<8 + // Verify that getAttribute really returns attributes and not properties + // (excepting IE8 booleans) + support.attributes = assert(function( el ) { + el.className = "i"; + return !el.getAttribute("className"); + }); + + /* getElement(s)By* + ---------------------------------------------------------------------- */ + + // Check if getElementsByTagName("*") returns only elements + support.getElementsByTagName = assert(function( el ) { + el.appendChild( document.createComment("") ); + return !el.getElementsByTagName("*").length; + }); + + // Support: IE<9 + support.getElementsByClassName = rnative.test( document.getElementsByClassName ); + + // Support: IE<10 + // Check if getElementById returns elements by name + // The broken getElementById methods don't pick up programmatically-set names, + // so use a roundabout getElementsByName test + support.getById = assert(function( el ) { + docElem.appendChild( el ).id = expando; + return !document.getElementsByName || !document.getElementsByName( expando ).length; + }); + + // ID filter and find + if ( support.getById ) { + Expr.filter["ID"] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + return elem.getAttribute("id") === attrId; + }; + }; + Expr.find["ID"] = function( id, context ) { + if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { + var elem = context.getElementById( id ); + return elem ? [ elem ] : []; + } + }; + } else { + Expr.filter["ID"] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + var node = typeof elem.getAttributeNode !== "undefined" && + elem.getAttributeNode("id"); + return node && node.value === attrId; + }; + }; + + // Support: IE 6 - 7 only + // getElementById is not reliable as a find shortcut + Expr.find["ID"] = function( id, context ) { + if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { + var node, i, elems, + elem = context.getElementById( id ); + + if ( elem ) { + + // Verify the id attribute + node = elem.getAttributeNode("id"); + if ( node && node.value === id ) { + return [ elem ]; + } + + // Fall back on getElementsByName + elems = context.getElementsByName( id ); + i = 0; + while ( (elem = elems[i++]) ) { + node = elem.getAttributeNode("id"); + if ( node && node.value === id ) { + return [ elem ]; + } + } + } + + return []; + } + }; + } + + // Tag + Expr.find["TAG"] = support.getElementsByTagName ? + function( tag, context ) { + if ( typeof context.getElementsByTagName !== "undefined" ) { + return context.getElementsByTagName( tag ); + + // DocumentFragment nodes don't have gEBTN + } else if ( support.qsa ) { + return context.querySelectorAll( tag ); + } + } : + + function( tag, context ) { + var elem, + tmp = [], + i = 0, + // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too + results = context.getElementsByTagName( tag ); + + // Filter out possible comments + if ( tag === "*" ) { + while ( (elem = results[i++]) ) { + if ( elem.nodeType === 1 ) { + tmp.push( elem ); + } + } + + return tmp; + } + return results; + }; + + // Class + Expr.find["CLASS"] = support.getElementsByClassName && function( className, context ) { + if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) { + return context.getElementsByClassName( className ); + } + }; + + /* QSA/matchesSelector + ---------------------------------------------------------------------- */ + + // QSA and matchesSelector support + + // matchesSelector(:active) reports false when true (IE9/Opera 11.5) + rbuggyMatches = []; + + // qSa(:focus) reports false when true (Chrome 21) + // We allow this because of a bug in IE8/9 that throws an error + // whenever `document.activeElement` is accessed on an iframe + // So, we allow :focus to pass through QSA all the time to avoid the IE error + // See https://bugs.jquery.com/ticket/13378 + rbuggyQSA = []; + + if ( (support.qsa = rnative.test( document.querySelectorAll )) ) { + // Build QSA regex + // Regex strategy adopted from Diego Perini + assert(function( el ) { + // Select is set to empty string on purpose + // This is to test IE's treatment of not explicitly + // setting a boolean content attribute, + // since its presence should be enough + // https://bugs.jquery.com/ticket/12359 + docElem.appendChild( el ).innerHTML = "" + + ""; + + // Support: IE8, Opera 11-12.16 + // Nothing should be selected when empty strings follow ^= or $= or *= + // The test attribute must be unknown in Opera but "safe" for WinRT + // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section + if ( el.querySelectorAll("[msallowcapture^='']").length ) { + rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); + } + + // Support: IE8 + // Boolean attributes and "value" are not treated correctly + if ( !el.querySelectorAll("[selected]").length ) { + rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); + } + + // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+ + if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) { + rbuggyQSA.push("~="); + } + + // Webkit/Opera - :checked should return selected option elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + // IE8 throws error here and will not see later tests + if ( !el.querySelectorAll(":checked").length ) { + rbuggyQSA.push(":checked"); + } + + // Support: Safari 8+, iOS 8+ + // https://bugs.webkit.org/show_bug.cgi?id=136851 + // In-page `selector#id sibling-combinator selector` fails + if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) { + rbuggyQSA.push(".#.+[+~]"); + } + }); + + assert(function( el ) { + el.innerHTML = "" + + ""; + + // Support: Windows 8 Native Apps + // The type and name attributes are restricted during .innerHTML assignment + var input = document.createElement("input"); + input.setAttribute( "type", "hidden" ); + el.appendChild( input ).setAttribute( "name", "D" ); + + // Support: IE8 + // Enforce case-sensitivity of name attribute + if ( el.querySelectorAll("[name=d]").length ) { + rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); + } + + // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) + // IE8 throws error here and will not see later tests + if ( el.querySelectorAll(":enabled").length !== 2 ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Support: IE9-11+ + // IE's :disabled selector does not pick up the children of disabled fieldsets + docElem.appendChild( el ).disabled = true; + if ( el.querySelectorAll(":disabled").length !== 2 ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Opera 10-11 does not throw on post-comma invalid pseudos + el.querySelectorAll("*,:x"); + rbuggyQSA.push(",.*:"); + }); + } + + if ( (support.matchesSelector = rnative.test( (matches = docElem.matches || + docElem.webkitMatchesSelector || + docElem.mozMatchesSelector || + docElem.oMatchesSelector || + docElem.msMatchesSelector) )) ) { + + assert(function( el ) { + // Check to see if it's possible to do matchesSelector + // on a disconnected node (IE 9) + support.disconnectedMatch = matches.call( el, "*" ); + + // This should fail with an exception + // Gecko does not error, returns false instead + matches.call( el, "[s!='']:x" ); + rbuggyMatches.push( "!=", pseudos ); + }); + } + + rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join("|") ); + rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join("|") ); + + /* Contains + ---------------------------------------------------------------------- */ + hasCompare = rnative.test( docElem.compareDocumentPosition ); + + // Element contains another + // Purposefully self-exclusive + // As in, an element does not contain itself + contains = hasCompare || rnative.test( docElem.contains ) ? + function( a, b ) { + var adown = a.nodeType === 9 ? a.documentElement : a, + bup = b && b.parentNode; + return a === bup || !!( bup && bup.nodeType === 1 && ( + adown.contains ? + adown.contains( bup ) : + a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 + )); + } : + function( a, b ) { + if ( b ) { + while ( (b = b.parentNode) ) { + if ( b === a ) { + return true; + } + } + } + return false; + }; + + /* Sorting + ---------------------------------------------------------------------- */ + + // Document order sorting + sortOrder = hasCompare ? + function( a, b ) { + + // Flag for duplicate removal + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + // Sort on method existence if only one input has compareDocumentPosition + var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; + if ( compare ) { + return compare; + } + + // Calculate position if both inputs belong to the same document + compare = ( a.ownerDocument || a ) === ( b.ownerDocument || b ) ? + a.compareDocumentPosition( b ) : + + // Otherwise we know they are disconnected + 1; + + // Disconnected nodes + if ( compare & 1 || + (!support.sortDetached && b.compareDocumentPosition( a ) === compare) ) { + + // Choose the first element that is related to our preferred document + if ( a === document || a.ownerDocument === preferredDoc && contains(preferredDoc, a) ) { + return -1; + } + if ( b === document || b.ownerDocument === preferredDoc && contains(preferredDoc, b) ) { + return 1; + } + + // Maintain original order + return sortInput ? + ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : + 0; + } + + return compare & 4 ? -1 : 1; + } : + function( a, b ) { + // Exit early if the nodes are identical + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + var cur, + i = 0, + aup = a.parentNode, + bup = b.parentNode, + ap = [ a ], + bp = [ b ]; + + // Parentless nodes are either documents or disconnected + if ( !aup || !bup ) { + return a === document ? -1 : + b === document ? 1 : + aup ? -1 : + bup ? 1 : + sortInput ? + ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : + 0; + + // If the nodes are siblings, we can do a quick check + } else if ( aup === bup ) { + return siblingCheck( a, b ); + } + + // Otherwise we need full lists of their ancestors for comparison + cur = a; + while ( (cur = cur.parentNode) ) { + ap.unshift( cur ); + } + cur = b; + while ( (cur = cur.parentNode) ) { + bp.unshift( cur ); + } + + // Walk down the tree looking for a discrepancy + while ( ap[i] === bp[i] ) { + i++; + } + + return i ? + // Do a sibling check if the nodes have a common ancestor + siblingCheck( ap[i], bp[i] ) : + + // Otherwise nodes in our document sort first + ap[i] === preferredDoc ? -1 : + bp[i] === preferredDoc ? 1 : + 0; + }; + + return document; +}; + +Sizzle.matches = function( expr, elements ) { + return Sizzle( expr, null, null, elements ); +}; + +Sizzle.matchesSelector = function( elem, expr ) { + // Set document vars if needed + if ( ( elem.ownerDocument || elem ) !== document ) { + setDocument( elem ); + } + + // Make sure that attribute selectors are quoted + expr = expr.replace( rattributeQuotes, "='$1']" ); + + if ( support.matchesSelector && documentIsHTML && + !compilerCache[ expr + " " ] && + ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && + ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { + + try { + var ret = matches.call( elem, expr ); + + // IE 9's matchesSelector returns false on disconnected nodes + if ( ret || support.disconnectedMatch || + // As well, disconnected nodes are said to be in a document + // fragment in IE 9 + elem.document && elem.document.nodeType !== 11 ) { + return ret; + } + } catch (e) {} + } + + return Sizzle( expr, document, null, [ elem ] ).length > 0; +}; + +Sizzle.contains = function( context, elem ) { + // Set document vars if needed + if ( ( context.ownerDocument || context ) !== document ) { + setDocument( context ); + } + return contains( context, elem ); +}; + +Sizzle.attr = function( elem, name ) { + // Set document vars if needed + if ( ( elem.ownerDocument || elem ) !== document ) { + setDocument( elem ); + } + + var fn = Expr.attrHandle[ name.toLowerCase() ], + // Don't get fooled by Object.prototype properties (jQuery #13807) + val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? + fn( elem, name, !documentIsHTML ) : + undefined; + + return val !== undefined ? + val : + support.attributes || !documentIsHTML ? + elem.getAttribute( name ) : + (val = elem.getAttributeNode(name)) && val.specified ? + val.value : + null; +}; + +Sizzle.escape = function( sel ) { + return (sel + "").replace( rcssescape, fcssescape ); +}; + +Sizzle.error = function( msg ) { + throw new Error( "Syntax error, unrecognized expression: " + msg ); +}; + +/** + * Document sorting and removing duplicates + * @param {ArrayLike} results + */ +Sizzle.uniqueSort = function( results ) { + var elem, + duplicates = [], + j = 0, + i = 0; + + // Unless we *know* we can detect duplicates, assume their presence + hasDuplicate = !support.detectDuplicates; + sortInput = !support.sortStable && results.slice( 0 ); + results.sort( sortOrder ); + + if ( hasDuplicate ) { + while ( (elem = results[i++]) ) { + if ( elem === results[ i ] ) { + j = duplicates.push( i ); + } + } + while ( j-- ) { + results.splice( duplicates[ j ], 1 ); + } + } + + // Clear input after sorting to release objects + // See https://github.com/jquery/sizzle/pull/225 + sortInput = null; + + return results; +}; + +/** + * Utility function for retrieving the text value of an array of DOM nodes + * @param {Array|Element} elem + */ +getText = Sizzle.getText = function( elem ) { + var node, + ret = "", + i = 0, + nodeType = elem.nodeType; + + if ( !nodeType ) { + // If no nodeType, this is expected to be an array + while ( (node = elem[i++]) ) { + // Do not traverse comment nodes + ret += getText( node ); + } + } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { + // Use textContent for elements + // innerText usage removed for consistency of new lines (jQuery #11153) + if ( typeof elem.textContent === "string" ) { + return elem.textContent; + } else { + // Traverse its children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + ret += getText( elem ); + } + } + } else if ( nodeType === 3 || nodeType === 4 ) { + return elem.nodeValue; + } + // Do not include comment or processing instruction nodes + + return ret; +}; + +Expr = Sizzle.selectors = { + + // Can be adjusted by the user + cacheLength: 50, + + createPseudo: markFunction, + + match: matchExpr, + + attrHandle: {}, + + find: {}, + + relative: { + ">": { dir: "parentNode", first: true }, + " ": { dir: "parentNode" }, + "+": { dir: "previousSibling", first: true }, + "~": { dir: "previousSibling" } + }, + + preFilter: { + "ATTR": function( match ) { + match[1] = match[1].replace( runescape, funescape ); + + // Move the given value to match[3] whether quoted or unquoted + match[3] = ( match[3] || match[4] || match[5] || "" ).replace( runescape, funescape ); + + if ( match[2] === "~=" ) { + match[3] = " " + match[3] + " "; + } + + return match.slice( 0, 4 ); + }, + + "CHILD": function( match ) { + /* matches from matchExpr["CHILD"] + 1 type (only|nth|...) + 2 what (child|of-type) + 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) + 4 xn-component of xn+y argument ([+-]?\d*n|) + 5 sign of xn-component + 6 x of xn-component + 7 sign of y-component + 8 y of y-component + */ + match[1] = match[1].toLowerCase(); + + if ( match[1].slice( 0, 3 ) === "nth" ) { + // nth-* requires argument + if ( !match[3] ) { + Sizzle.error( match[0] ); + } + + // numeric x and y parameters for Expr.filter.CHILD + // remember that false/true cast respectively to 0/1 + match[4] = +( match[4] ? match[5] + (match[6] || 1) : 2 * ( match[3] === "even" || match[3] === "odd" ) ); + match[5] = +( ( match[7] + match[8] ) || match[3] === "odd" ); + + // other types prohibit arguments + } else if ( match[3] ) { + Sizzle.error( match[0] ); + } + + return match; + }, + + "PSEUDO": function( match ) { + var excess, + unquoted = !match[6] && match[2]; + + if ( matchExpr["CHILD"].test( match[0] ) ) { + return null; + } + + // Accept quoted arguments as-is + if ( match[3] ) { + match[2] = match[4] || match[5] || ""; + + // Strip excess characters from unquoted arguments + } else if ( unquoted && rpseudo.test( unquoted ) && + // Get excess from tokenize (recursively) + (excess = tokenize( unquoted, true )) && + // advance to the next closing parenthesis + (excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length) ) { + + // excess is a negative index + match[0] = match[0].slice( 0, excess ); + match[2] = unquoted.slice( 0, excess ); + } + + // Return only captures needed by the pseudo filter method (type and argument) + return match.slice( 0, 3 ); + } + }, + + filter: { + + "TAG": function( nodeNameSelector ) { + var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); + return nodeNameSelector === "*" ? + function() { return true; } : + function( elem ) { + return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; + }; + }, + + "CLASS": function( className ) { + var pattern = classCache[ className + " " ]; + + return pattern || + (pattern = new RegExp( "(^|" + whitespace + ")" + className + "(" + whitespace + "|$)" )) && + classCache( className, function( elem ) { + return pattern.test( typeof elem.className === "string" && elem.className || typeof elem.getAttribute !== "undefined" && elem.getAttribute("class") || "" ); + }); + }, + + "ATTR": function( name, operator, check ) { + return function( elem ) { + var result = Sizzle.attr( elem, name ); + + if ( result == null ) { + return operator === "!="; + } + if ( !operator ) { + return true; + } + + result += ""; + + return operator === "=" ? result === check : + operator === "!=" ? result !== check : + operator === "^=" ? check && result.indexOf( check ) === 0 : + operator === "*=" ? check && result.indexOf( check ) > -1 : + operator === "$=" ? check && result.slice( -check.length ) === check : + operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 : + operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : + false; + }; + }, + + "CHILD": function( type, what, argument, first, last ) { + var simple = type.slice( 0, 3 ) !== "nth", + forward = type.slice( -4 ) !== "last", + ofType = what === "of-type"; + + return first === 1 && last === 0 ? + + // Shortcut for :nth-*(n) + function( elem ) { + return !!elem.parentNode; + } : + + function( elem, context, xml ) { + var cache, uniqueCache, outerCache, node, nodeIndex, start, + dir = simple !== forward ? "nextSibling" : "previousSibling", + parent = elem.parentNode, + name = ofType && elem.nodeName.toLowerCase(), + useCache = !xml && !ofType, + diff = false; + + if ( parent ) { + + // :(first|last|only)-(child|of-type) + if ( simple ) { + while ( dir ) { + node = elem; + while ( (node = node[ dir ]) ) { + if ( ofType ? + node.nodeName.toLowerCase() === name : + node.nodeType === 1 ) { + + return false; + } + } + // Reverse direction for :only-* (if we haven't yet done so) + start = dir = type === "only" && !start && "nextSibling"; + } + return true; + } + + start = [ forward ? parent.firstChild : parent.lastChild ]; + + // non-xml :nth-child(...) stores cache data on `parent` + if ( forward && useCache ) { + + // Seek `elem` from a previously-cached index + + // ...in a gzip-friendly way + node = parent; + outerCache = node[ expando ] || (node[ expando ] = {}); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + (outerCache[ node.uniqueID ] = {}); + + cache = uniqueCache[ type ] || []; + nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; + diff = nodeIndex && cache[ 2 ]; + node = nodeIndex && parent.childNodes[ nodeIndex ]; + + while ( (node = ++nodeIndex && node && node[ dir ] || + + // Fallback to seeking `elem` from the start + (diff = nodeIndex = 0) || start.pop()) ) { + + // When found, cache indexes on `parent` and break + if ( node.nodeType === 1 && ++diff && node === elem ) { + uniqueCache[ type ] = [ dirruns, nodeIndex, diff ]; + break; + } + } + + } else { + // Use previously-cached element index if available + if ( useCache ) { + // ...in a gzip-friendly way + node = elem; + outerCache = node[ expando ] || (node[ expando ] = {}); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + (outerCache[ node.uniqueID ] = {}); + + cache = uniqueCache[ type ] || []; + nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; + diff = nodeIndex; + } + + // xml :nth-child(...) + // or :nth-last-child(...) or :nth(-last)?-of-type(...) + if ( diff === false ) { + // Use the same loop as above to seek `elem` from the start + while ( (node = ++nodeIndex && node && node[ dir ] || + (diff = nodeIndex = 0) || start.pop()) ) { + + if ( ( ofType ? + node.nodeName.toLowerCase() === name : + node.nodeType === 1 ) && + ++diff ) { + + // Cache the index of each encountered element + if ( useCache ) { + outerCache = node[ expando ] || (node[ expando ] = {}); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + (outerCache[ node.uniqueID ] = {}); + + uniqueCache[ type ] = [ dirruns, diff ]; + } + + if ( node === elem ) { + break; + } + } + } + } + } + + // Incorporate the offset, then check against cycle size + diff -= last; + return diff === first || ( diff % first === 0 && diff / first >= 0 ); + } + }; + }, + + "PSEUDO": function( pseudo, argument ) { + // pseudo-class names are case-insensitive + // http://www.w3.org/TR/selectors/#pseudo-classes + // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters + // Remember that setFilters inherits from pseudos + var args, + fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || + Sizzle.error( "unsupported pseudo: " + pseudo ); + + // The user may use createPseudo to indicate that + // arguments are needed to create the filter function + // just as Sizzle does + if ( fn[ expando ] ) { + return fn( argument ); + } + + // But maintain support for old signatures + if ( fn.length > 1 ) { + args = [ pseudo, pseudo, "", argument ]; + return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? + markFunction(function( seed, matches ) { + var idx, + matched = fn( seed, argument ), + i = matched.length; + while ( i-- ) { + idx = indexOf( seed, matched[i] ); + seed[ idx ] = !( matches[ idx ] = matched[i] ); + } + }) : + function( elem ) { + return fn( elem, 0, args ); + }; + } + + return fn; + } + }, + + pseudos: { + // Potentially complex pseudos + "not": markFunction(function( selector ) { + // Trim the selector passed to compile + // to avoid treating leading and trailing + // spaces as combinators + var input = [], + results = [], + matcher = compile( selector.replace( rtrim, "$1" ) ); + + return matcher[ expando ] ? + markFunction(function( seed, matches, context, xml ) { + var elem, + unmatched = matcher( seed, null, xml, [] ), + i = seed.length; + + // Match elements unmatched by `matcher` + while ( i-- ) { + if ( (elem = unmatched[i]) ) { + seed[i] = !(matches[i] = elem); + } + } + }) : + function( elem, context, xml ) { + input[0] = elem; + matcher( input, null, xml, results ); + // Don't keep the element (issue #299) + input[0] = null; + return !results.pop(); + }; + }), + + "has": markFunction(function( selector ) { + return function( elem ) { + return Sizzle( selector, elem ).length > 0; + }; + }), + + "contains": markFunction(function( text ) { + text = text.replace( runescape, funescape ); + return function( elem ) { + return ( elem.textContent || elem.innerText || getText( elem ) ).indexOf( text ) > -1; + }; + }), + + // "Whether an element is represented by a :lang() selector + // is based solely on the element's language value + // being equal to the identifier C, + // or beginning with the identifier C immediately followed by "-". + // The matching of C against the element's language value is performed case-insensitively. + // The identifier C does not have to be a valid language name." + // http://www.w3.org/TR/selectors/#lang-pseudo + "lang": markFunction( function( lang ) { + // lang value must be a valid identifier + if ( !ridentifier.test(lang || "") ) { + Sizzle.error( "unsupported lang: " + lang ); + } + lang = lang.replace( runescape, funescape ).toLowerCase(); + return function( elem ) { + var elemLang; + do { + if ( (elemLang = documentIsHTML ? + elem.lang : + elem.getAttribute("xml:lang") || elem.getAttribute("lang")) ) { + + elemLang = elemLang.toLowerCase(); + return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; + } + } while ( (elem = elem.parentNode) && elem.nodeType === 1 ); + return false; + }; + }), + + // Miscellaneous + "target": function( elem ) { + var hash = window.location && window.location.hash; + return hash && hash.slice( 1 ) === elem.id; + }, + + "root": function( elem ) { + return elem === docElem; + }, + + "focus": function( elem ) { + return elem === document.activeElement && (!document.hasFocus || document.hasFocus()) && !!(elem.type || elem.href || ~elem.tabIndex); + }, + + // Boolean properties + "enabled": createDisabledPseudo( false ), + "disabled": createDisabledPseudo( true ), + + "checked": function( elem ) { + // In CSS3, :checked should return both checked and selected elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + var nodeName = elem.nodeName.toLowerCase(); + return (nodeName === "input" && !!elem.checked) || (nodeName === "option" && !!elem.selected); + }, + + "selected": function( elem ) { + // Accessing this property makes selected-by-default + // options in Safari work properly + if ( elem.parentNode ) { + elem.parentNode.selectedIndex; + } + + return elem.selected === true; + }, + + // Contents + "empty": function( elem ) { + // http://www.w3.org/TR/selectors/#empty-pseudo + // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), + // but not by others (comment: 8; processing instruction: 7; etc.) + // nodeType < 6 works because attributes (2) do not appear as children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + if ( elem.nodeType < 6 ) { + return false; + } + } + return true; + }, + + "parent": function( elem ) { + return !Expr.pseudos["empty"]( elem ); + }, + + // Element/input types + "header": function( elem ) { + return rheader.test( elem.nodeName ); + }, + + "input": function( elem ) { + return rinputs.test( elem.nodeName ); + }, + + "button": function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === "button" || name === "button"; + }, + + "text": function( elem ) { + var attr; + return elem.nodeName.toLowerCase() === "input" && + elem.type === "text" && + + // Support: IE<8 + // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" + ( (attr = elem.getAttribute("type")) == null || attr.toLowerCase() === "text" ); + }, + + // Position-in-collection + "first": createPositionalPseudo(function() { + return [ 0 ]; + }), + + "last": createPositionalPseudo(function( matchIndexes, length ) { + return [ length - 1 ]; + }), + + "eq": createPositionalPseudo(function( matchIndexes, length, argument ) { + return [ argument < 0 ? argument + length : argument ]; + }), + + "even": createPositionalPseudo(function( matchIndexes, length ) { + var i = 0; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + }), + + "odd": createPositionalPseudo(function( matchIndexes, length ) { + var i = 1; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + }), + + "lt": createPositionalPseudo(function( matchIndexes, length, argument ) { + var i = argument < 0 ? argument + length : argument; + for ( ; --i >= 0; ) { + matchIndexes.push( i ); + } + return matchIndexes; + }), + + "gt": createPositionalPseudo(function( matchIndexes, length, argument ) { + var i = argument < 0 ? argument + length : argument; + for ( ; ++i < length; ) { + matchIndexes.push( i ); + } + return matchIndexes; + }) + } +}; + +Expr.pseudos["nth"] = Expr.pseudos["eq"]; + +// Add button/input type pseudos +for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { + Expr.pseudos[ i ] = createInputPseudo( i ); +} +for ( i in { submit: true, reset: true } ) { + Expr.pseudos[ i ] = createButtonPseudo( i ); +} + +// Easy API for creating new setFilters +function setFilters() {} +setFilters.prototype = Expr.filters = Expr.pseudos; +Expr.setFilters = new setFilters(); + +tokenize = Sizzle.tokenize = function( selector, parseOnly ) { + var matched, match, tokens, type, + soFar, groups, preFilters, + cached = tokenCache[ selector + " " ]; + + if ( cached ) { + return parseOnly ? 0 : cached.slice( 0 ); + } + + soFar = selector; + groups = []; + preFilters = Expr.preFilter; + + while ( soFar ) { + + // Comma and first run + if ( !matched || (match = rcomma.exec( soFar )) ) { + if ( match ) { + // Don't consume trailing commas as valid + soFar = soFar.slice( match[0].length ) || soFar; + } + groups.push( (tokens = []) ); + } + + matched = false; + + // Combinators + if ( (match = rcombinators.exec( soFar )) ) { + matched = match.shift(); + tokens.push({ + value: matched, + // Cast descendant combinators to space + type: match[0].replace( rtrim, " " ) + }); + soFar = soFar.slice( matched.length ); + } + + // Filters + for ( type in Expr.filter ) { + if ( (match = matchExpr[ type ].exec( soFar )) && (!preFilters[ type ] || + (match = preFilters[ type ]( match ))) ) { + matched = match.shift(); + tokens.push({ + value: matched, + type: type, + matches: match + }); + soFar = soFar.slice( matched.length ); + } + } + + if ( !matched ) { + break; + } + } + + // Return the length of the invalid excess + // if we're just parsing + // Otherwise, throw an error or return tokens + return parseOnly ? + soFar.length : + soFar ? + Sizzle.error( selector ) : + // Cache the tokens + tokenCache( selector, groups ).slice( 0 ); +}; + +function toSelector( tokens ) { + var i = 0, + len = tokens.length, + selector = ""; + for ( ; i < len; i++ ) { + selector += tokens[i].value; + } + return selector; +} + +function addCombinator( matcher, combinator, base ) { + var dir = combinator.dir, + skip = combinator.next, + key = skip || dir, + checkNonElements = base && key === "parentNode", + doneName = done++; + + return combinator.first ? + // Check against closest ancestor/preceding element + function( elem, context, xml ) { + while ( (elem = elem[ dir ]) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + return matcher( elem, context, xml ); + } + } + return false; + } : + + // Check against all ancestor/preceding elements + function( elem, context, xml ) { + var oldCache, uniqueCache, outerCache, + newCache = [ dirruns, doneName ]; + + // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching + if ( xml ) { + while ( (elem = elem[ dir ]) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + if ( matcher( elem, context, xml ) ) { + return true; + } + } + } + } else { + while ( (elem = elem[ dir ]) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + outerCache = elem[ expando ] || (elem[ expando ] = {}); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ elem.uniqueID ] || (outerCache[ elem.uniqueID ] = {}); + + if ( skip && skip === elem.nodeName.toLowerCase() ) { + elem = elem[ dir ] || elem; + } else if ( (oldCache = uniqueCache[ key ]) && + oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { + + // Assign to newCache so results back-propagate to previous elements + return (newCache[ 2 ] = oldCache[ 2 ]); + } else { + // Reuse newcache so results back-propagate to previous elements + uniqueCache[ key ] = newCache; + + // A match means we're done; a fail means we have to keep checking + if ( (newCache[ 2 ] = matcher( elem, context, xml )) ) { + return true; + } + } + } + } + } + return false; + }; +} + +function elementMatcher( matchers ) { + return matchers.length > 1 ? + function( elem, context, xml ) { + var i = matchers.length; + while ( i-- ) { + if ( !matchers[i]( elem, context, xml ) ) { + return false; + } + } + return true; + } : + matchers[0]; +} + +function multipleContexts( selector, contexts, results ) { + var i = 0, + len = contexts.length; + for ( ; i < len; i++ ) { + Sizzle( selector, contexts[i], results ); + } + return results; +} + +function condense( unmatched, map, filter, context, xml ) { + var elem, + newUnmatched = [], + i = 0, + len = unmatched.length, + mapped = map != null; + + for ( ; i < len; i++ ) { + if ( (elem = unmatched[i]) ) { + if ( !filter || filter( elem, context, xml ) ) { + newUnmatched.push( elem ); + if ( mapped ) { + map.push( i ); + } + } + } + } + + return newUnmatched; +} + +function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { + if ( postFilter && !postFilter[ expando ] ) { + postFilter = setMatcher( postFilter ); + } + if ( postFinder && !postFinder[ expando ] ) { + postFinder = setMatcher( postFinder, postSelector ); + } + return markFunction(function( seed, results, context, xml ) { + var temp, i, elem, + preMap = [], + postMap = [], + preexisting = results.length, + + // Get initial elements from seed or context + elems = seed || multipleContexts( selector || "*", context.nodeType ? [ context ] : context, [] ), + + // Prefilter to get matcher input, preserving a map for seed-results synchronization + matcherIn = preFilter && ( seed || !selector ) ? + condense( elems, preMap, preFilter, context, xml ) : + elems, + + matcherOut = matcher ? + // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, + postFinder || ( seed ? preFilter : preexisting || postFilter ) ? + + // ...intermediate processing is necessary + [] : + + // ...otherwise use results directly + results : + matcherIn; + + // Find primary matches + if ( matcher ) { + matcher( matcherIn, matcherOut, context, xml ); + } + + // Apply postFilter + if ( postFilter ) { + temp = condense( matcherOut, postMap ); + postFilter( temp, [], context, xml ); + + // Un-match failing elements by moving them back to matcherIn + i = temp.length; + while ( i-- ) { + if ( (elem = temp[i]) ) { + matcherOut[ postMap[i] ] = !(matcherIn[ postMap[i] ] = elem); + } + } + } + + if ( seed ) { + if ( postFinder || preFilter ) { + if ( postFinder ) { + // Get the final matcherOut by condensing this intermediate into postFinder contexts + temp = []; + i = matcherOut.length; + while ( i-- ) { + if ( (elem = matcherOut[i]) ) { + // Restore matcherIn since elem is not yet a final match + temp.push( (matcherIn[i] = elem) ); + } + } + postFinder( null, (matcherOut = []), temp, xml ); + } + + // Move matched elements from seed to results to keep them synchronized + i = matcherOut.length; + while ( i-- ) { + if ( (elem = matcherOut[i]) && + (temp = postFinder ? indexOf( seed, elem ) : preMap[i]) > -1 ) { + + seed[temp] = !(results[temp] = elem); + } + } + } + + // Add elements to results, through postFinder if defined + } else { + matcherOut = condense( + matcherOut === results ? + matcherOut.splice( preexisting, matcherOut.length ) : + matcherOut + ); + if ( postFinder ) { + postFinder( null, results, matcherOut, xml ); + } else { + push.apply( results, matcherOut ); + } + } + }); +} + +function matcherFromTokens( tokens ) { + var checkContext, matcher, j, + len = tokens.length, + leadingRelative = Expr.relative[ tokens[0].type ], + implicitRelative = leadingRelative || Expr.relative[" "], + i = leadingRelative ? 1 : 0, + + // The foundational matcher ensures that elements are reachable from top-level context(s) + matchContext = addCombinator( function( elem ) { + return elem === checkContext; + }, implicitRelative, true ), + matchAnyContext = addCombinator( function( elem ) { + return indexOf( checkContext, elem ) > -1; + }, implicitRelative, true ), + matchers = [ function( elem, context, xml ) { + var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( + (checkContext = context).nodeType ? + matchContext( elem, context, xml ) : + matchAnyContext( elem, context, xml ) ); + // Avoid hanging onto element (issue #299) + checkContext = null; + return ret; + } ]; + + for ( ; i < len; i++ ) { + if ( (matcher = Expr.relative[ tokens[i].type ]) ) { + matchers = [ addCombinator(elementMatcher( matchers ), matcher) ]; + } else { + matcher = Expr.filter[ tokens[i].type ].apply( null, tokens[i].matches ); + + // Return special upon seeing a positional matcher + if ( matcher[ expando ] ) { + // Find the next relative operator (if any) for proper handling + j = ++i; + for ( ; j < len; j++ ) { + if ( Expr.relative[ tokens[j].type ] ) { + break; + } + } + return setMatcher( + i > 1 && elementMatcher( matchers ), + i > 1 && toSelector( + // If the preceding token was a descendant combinator, insert an implicit any-element `*` + tokens.slice( 0, i - 1 ).concat({ value: tokens[ i - 2 ].type === " " ? "*" : "" }) + ).replace( rtrim, "$1" ), + matcher, + i < j && matcherFromTokens( tokens.slice( i, j ) ), + j < len && matcherFromTokens( (tokens = tokens.slice( j )) ), + j < len && toSelector( tokens ) + ); + } + matchers.push( matcher ); + } + } + + return elementMatcher( matchers ); +} + +function matcherFromGroupMatchers( elementMatchers, setMatchers ) { + var bySet = setMatchers.length > 0, + byElement = elementMatchers.length > 0, + superMatcher = function( seed, context, xml, results, outermost ) { + var elem, j, matcher, + matchedCount = 0, + i = "0", + unmatched = seed && [], + setMatched = [], + contextBackup = outermostContext, + // We must always have either seed elements or outermost context + elems = seed || byElement && Expr.find["TAG"]( "*", outermost ), + // Use integer dirruns iff this is the outermost matcher + dirrunsUnique = (dirruns += contextBackup == null ? 1 : Math.random() || 0.1), + len = elems.length; + + if ( outermost ) { + outermostContext = context === document || context || outermost; + } + + // Add elements passing elementMatchers directly to results + // Support: IE<9, Safari + // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id + for ( ; i !== len && (elem = elems[i]) != null; i++ ) { + if ( byElement && elem ) { + j = 0; + if ( !context && elem.ownerDocument !== document ) { + setDocument( elem ); + xml = !documentIsHTML; + } + while ( (matcher = elementMatchers[j++]) ) { + if ( matcher( elem, context || document, xml) ) { + results.push( elem ); + break; + } + } + if ( outermost ) { + dirruns = dirrunsUnique; + } + } + + // Track unmatched elements for set filters + if ( bySet ) { + // They will have gone through all possible matchers + if ( (elem = !matcher && elem) ) { + matchedCount--; + } + + // Lengthen the array for every element, matched or not + if ( seed ) { + unmatched.push( elem ); + } + } + } + + // `i` is now the count of elements visited above, and adding it to `matchedCount` + // makes the latter nonnegative. + matchedCount += i; + + // Apply set filters to unmatched elements + // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount` + // equals `i`), unless we didn't visit _any_ elements in the above loop because we have + // no element matchers and no seed. + // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that + // case, which will result in a "00" `matchedCount` that differs from `i` but is also + // numerically zero. + if ( bySet && i !== matchedCount ) { + j = 0; + while ( (matcher = setMatchers[j++]) ) { + matcher( unmatched, setMatched, context, xml ); + } + + if ( seed ) { + // Reintegrate element matches to eliminate the need for sorting + if ( matchedCount > 0 ) { + while ( i-- ) { + if ( !(unmatched[i] || setMatched[i]) ) { + setMatched[i] = pop.call( results ); + } + } + } + + // Discard index placeholder values to get only actual matches + setMatched = condense( setMatched ); + } + + // Add matches to results + push.apply( results, setMatched ); + + // Seedless set matches succeeding multiple successful matchers stipulate sorting + if ( outermost && !seed && setMatched.length > 0 && + ( matchedCount + setMatchers.length ) > 1 ) { + + Sizzle.uniqueSort( results ); + } + } + + // Override manipulation of globals by nested matchers + if ( outermost ) { + dirruns = dirrunsUnique; + outermostContext = contextBackup; + } + + return unmatched; + }; + + return bySet ? + markFunction( superMatcher ) : + superMatcher; +} + +compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { + var i, + setMatchers = [], + elementMatchers = [], + cached = compilerCache[ selector + " " ]; + + if ( !cached ) { + // Generate a function of recursive functions that can be used to check each element + if ( !match ) { + match = tokenize( selector ); + } + i = match.length; + while ( i-- ) { + cached = matcherFromTokens( match[i] ); + if ( cached[ expando ] ) { + setMatchers.push( cached ); + } else { + elementMatchers.push( cached ); + } + } + + // Cache the compiled function + cached = compilerCache( selector, matcherFromGroupMatchers( elementMatchers, setMatchers ) ); + + // Save selector and tokenization + cached.selector = selector; + } + return cached; +}; + +/** + * A low-level selection function that works with Sizzle's compiled + * selector functions + * @param {String|Function} selector A selector or a pre-compiled + * selector function built with Sizzle.compile + * @param {Element} context + * @param {Array} [results] + * @param {Array} [seed] A set of elements to match against + */ +select = Sizzle.select = function( selector, context, results, seed ) { + var i, tokens, token, type, find, + compiled = typeof selector === "function" && selector, + match = !seed && tokenize( (selector = compiled.selector || selector) ); + + results = results || []; + + // Try to minimize operations if there is only one selector in the list and no seed + // (the latter of which guarantees us context) + if ( match.length === 1 ) { + + // Reduce context if the leading compound selector is an ID + tokens = match[0] = match[0].slice( 0 ); + if ( tokens.length > 2 && (token = tokens[0]).type === "ID" && + context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[1].type ] ) { + + context = ( Expr.find["ID"]( token.matches[0].replace(runescape, funescape), context ) || [] )[0]; + if ( !context ) { + return results; + + // Precompiled matchers will still verify ancestry, so step up a level + } else if ( compiled ) { + context = context.parentNode; + } + + selector = selector.slice( tokens.shift().value.length ); + } + + // Fetch a seed set for right-to-left matching + i = matchExpr["needsContext"].test( selector ) ? 0 : tokens.length; + while ( i-- ) { + token = tokens[i]; + + // Abort if we hit a combinator + if ( Expr.relative[ (type = token.type) ] ) { + break; + } + if ( (find = Expr.find[ type ]) ) { + // Search, expanding context for leading sibling combinators + if ( (seed = find( + token.matches[0].replace( runescape, funescape ), + rsibling.test( tokens[0].type ) && testContext( context.parentNode ) || context + )) ) { + + // If seed is empty or no tokens remain, we can return early + tokens.splice( i, 1 ); + selector = seed.length && toSelector( tokens ); + if ( !selector ) { + push.apply( results, seed ); + return results; + } + + break; + } + } + } + } + + // Compile and execute a filtering function if one is not provided + // Provide `match` to avoid retokenization if we modified the selector above + ( compiled || compile( selector, match ) )( + seed, + context, + !documentIsHTML, + results, + !context || rsibling.test( selector ) && testContext( context.parentNode ) || context + ); + return results; +}; + +// One-time assignments + +// Sort stability +support.sortStable = expando.split("").sort( sortOrder ).join("") === expando; + +// Support: Chrome 14-35+ +// Always assume duplicates if they aren't passed to the comparison function +support.detectDuplicates = !!hasDuplicate; + +// Initialize against the default document +setDocument(); + +// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) +// Detached nodes confoundingly follow *each other* +support.sortDetached = assert(function( el ) { + // Should return 1, but returns 4 (following) + return el.compareDocumentPosition( document.createElement("fieldset") ) & 1; +}); + +// Support: IE<8 +// Prevent attribute/property "interpolation" +// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx +if ( !assert(function( el ) { + el.innerHTML = ""; + return el.firstChild.getAttribute("href") === "#" ; +}) ) { + addHandle( "type|href|height|width", function( elem, name, isXML ) { + if ( !isXML ) { + return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); + } + }); +} + +// Support: IE<9 +// Use defaultValue in place of getAttribute("value") +if ( !support.attributes || !assert(function( el ) { + el.innerHTML = ""; + el.firstChild.setAttribute( "value", "" ); + return el.firstChild.getAttribute( "value" ) === ""; +}) ) { + addHandle( "value", function( elem, name, isXML ) { + if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { + return elem.defaultValue; + } + }); +} + +// Support: IE<9 +// Use getAttributeNode to fetch booleans when getAttribute lies +if ( !assert(function( el ) { + return el.getAttribute("disabled") == null; +}) ) { + addHandle( booleans, function( elem, name, isXML ) { + var val; + if ( !isXML ) { + return elem[ name ] === true ? name.toLowerCase() : + (val = elem.getAttributeNode( name )) && val.specified ? + val.value : + null; + } + }); +} + +return Sizzle; + +})( window ); + + + +jQuery.find = Sizzle; +jQuery.expr = Sizzle.selectors; + +// Deprecated +jQuery.expr[ ":" ] = jQuery.expr.pseudos; +jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort; +jQuery.text = Sizzle.getText; +jQuery.isXMLDoc = Sizzle.isXML; +jQuery.contains = Sizzle.contains; +jQuery.escapeSelector = Sizzle.escape; + + + + +var dir = function( elem, dir, until ) { + var matched = [], + truncate = until !== undefined; + + while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) { + if ( elem.nodeType === 1 ) { + if ( truncate && jQuery( elem ).is( until ) ) { + break; + } + matched.push( elem ); + } + } + return matched; +}; + + +var siblings = function( n, elem ) { + var matched = []; + + for ( ; n; n = n.nextSibling ) { + if ( n.nodeType === 1 && n !== elem ) { + matched.push( n ); + } + } + + return matched; +}; + + +var rneedsContext = jQuery.expr.match.needsContext; + + + +function nodeName( elem, name ) { + + return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); + +}; +var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i ); + + + +var risSimple = /^.[^:#\[\.,]*$/; + +// Implement the identical functionality for filter and not +function winnow( elements, qualifier, not ) { + if ( jQuery.isFunction( qualifier ) ) { + return jQuery.grep( elements, function( elem, i ) { + return !!qualifier.call( elem, i, elem ) !== not; + } ); + } + + // Single element + if ( qualifier.nodeType ) { + return jQuery.grep( elements, function( elem ) { + return ( elem === qualifier ) !== not; + } ); + } + + // Arraylike of elements (jQuery, arguments, Array) + if ( typeof qualifier !== "string" ) { + return jQuery.grep( elements, function( elem ) { + return ( indexOf.call( qualifier, elem ) > -1 ) !== not; + } ); + } + + // Simple selector that can be filtered directly, removing non-Elements + if ( risSimple.test( qualifier ) ) { + return jQuery.filter( qualifier, elements, not ); + } + + // Complex selector, compare the two sets, removing non-Elements + qualifier = jQuery.filter( qualifier, elements ); + return jQuery.grep( elements, function( elem ) { + return ( indexOf.call( qualifier, elem ) > -1 ) !== not && elem.nodeType === 1; + } ); +} + +jQuery.filter = function( expr, elems, not ) { + var elem = elems[ 0 ]; + + if ( not ) { + expr = ":not(" + expr + ")"; + } + + if ( elems.length === 1 && elem.nodeType === 1 ) { + return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : []; + } + + return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { + return elem.nodeType === 1; + } ) ); +}; + +jQuery.fn.extend( { + find: function( selector ) { + var i, ret, + len = this.length, + self = this; + + if ( typeof selector !== "string" ) { + return this.pushStack( jQuery( selector ).filter( function() { + for ( i = 0; i < len; i++ ) { + if ( jQuery.contains( self[ i ], this ) ) { + return true; + } + } + } ) ); + } + + ret = this.pushStack( [] ); + + for ( i = 0; i < len; i++ ) { + jQuery.find( selector, self[ i ], ret ); + } + + return len > 1 ? jQuery.uniqueSort( ret ) : ret; + }, + filter: function( selector ) { + return this.pushStack( winnow( this, selector || [], false ) ); + }, + not: function( selector ) { + return this.pushStack( winnow( this, selector || [], true ) ); + }, + is: function( selector ) { + return !!winnow( + this, + + // If this is a positional/relative selector, check membership in the returned set + // so $("p:first").is("p:last") won't return true for a doc with two "p". + typeof selector === "string" && rneedsContext.test( selector ) ? + jQuery( selector ) : + selector || [], + false + ).length; + } +} ); + + +// Initialize a jQuery object + + +// A central reference to the root jQuery(document) +var rootjQuery, + + // A simple way to check for HTML strings + // Prioritize #id over to avoid XSS via location.hash (#9521) + // Strict HTML recognition (#11290: must start with <) + // Shortcut simple #id case for speed + rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/, + + init = jQuery.fn.init = function( selector, context, root ) { + var match, elem; + + // HANDLE: $(""), $(null), $(undefined), $(false) + if ( !selector ) { + return this; + } + + // Method init() accepts an alternate rootjQuery + // so migrate can support jQuery.sub (gh-2101) + root = root || rootjQuery; + + // Handle HTML strings + if ( typeof selector === "string" ) { + if ( selector[ 0 ] === "<" && + selector[ selector.length - 1 ] === ">" && + selector.length >= 3 ) { + + // Assume that strings that start and end with <> are HTML and skip the regex check + match = [ null, selector, null ]; + + } else { + match = rquickExpr.exec( selector ); + } + + // Match html or make sure no context is specified for #id + if ( match && ( match[ 1 ] || !context ) ) { + + // HANDLE: $(html) -> $(array) + if ( match[ 1 ] ) { + context = context instanceof jQuery ? context[ 0 ] : context; + + // Option to run scripts is true for back-compat + // Intentionally let the error be thrown if parseHTML is not present + jQuery.merge( this, jQuery.parseHTML( + match[ 1 ], + context && context.nodeType ? context.ownerDocument || context : document, + true + ) ); + + // HANDLE: $(html, props) + if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) { + for ( match in context ) { + + // Properties of context are called as methods if possible + if ( jQuery.isFunction( this[ match ] ) ) { + this[ match ]( context[ match ] ); + + // ...and otherwise set as attributes + } else { + this.attr( match, context[ match ] ); + } + } + } + + return this; + + // HANDLE: $(#id) + } else { + elem = document.getElementById( match[ 2 ] ); + + if ( elem ) { + + // Inject the element directly into the jQuery object + this[ 0 ] = elem; + this.length = 1; + } + return this; + } + + // HANDLE: $(expr, $(...)) + } else if ( !context || context.jquery ) { + return ( context || root ).find( selector ); + + // HANDLE: $(expr, context) + // (which is just equivalent to: $(context).find(expr) + } else { + return this.constructor( context ).find( selector ); + } + + // HANDLE: $(DOMElement) + } else if ( selector.nodeType ) { + this[ 0 ] = selector; + this.length = 1; + return this; + + // HANDLE: $(function) + // Shortcut for document ready + } else if ( jQuery.isFunction( selector ) ) { + return root.ready !== undefined ? + root.ready( selector ) : + + // Execute immediately if ready is not present + selector( jQuery ); + } + + return jQuery.makeArray( selector, this ); + }; + +// Give the init function the jQuery prototype for later instantiation +init.prototype = jQuery.fn; + +// Initialize central reference +rootjQuery = jQuery( document ); + + +var rparentsprev = /^(?:parents|prev(?:Until|All))/, + + // Methods guaranteed to produce a unique set when starting from a unique set + guaranteedUnique = { + children: true, + contents: true, + next: true, + prev: true + }; + +jQuery.fn.extend( { + has: function( target ) { + var targets = jQuery( target, this ), + l = targets.length; + + return this.filter( function() { + var i = 0; + for ( ; i < l; i++ ) { + if ( jQuery.contains( this, targets[ i ] ) ) { + return true; + } + } + } ); + }, + + closest: function( selectors, context ) { + var cur, + i = 0, + l = this.length, + matched = [], + targets = typeof selectors !== "string" && jQuery( selectors ); + + // Positional selectors never match, since there's no _selection_ context + if ( !rneedsContext.test( selectors ) ) { + for ( ; i < l; i++ ) { + for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) { + + // Always skip document fragments + if ( cur.nodeType < 11 && ( targets ? + targets.index( cur ) > -1 : + + // Don't pass non-elements to Sizzle + cur.nodeType === 1 && + jQuery.find.matchesSelector( cur, selectors ) ) ) { + + matched.push( cur ); + break; + } + } + } + } + + return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched ); + }, + + // Determine the position of an element within the set + index: function( elem ) { + + // No argument, return index in parent + if ( !elem ) { + return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; + } + + // Index in selector + if ( typeof elem === "string" ) { + return indexOf.call( jQuery( elem ), this[ 0 ] ); + } + + // Locate the position of the desired element + return indexOf.call( this, + + // If it receives a jQuery object, the first element is used + elem.jquery ? elem[ 0 ] : elem + ); + }, + + add: function( selector, context ) { + return this.pushStack( + jQuery.uniqueSort( + jQuery.merge( this.get(), jQuery( selector, context ) ) + ) + ); + }, + + addBack: function( selector ) { + return this.add( selector == null ? + this.prevObject : this.prevObject.filter( selector ) + ); + } +} ); + +function sibling( cur, dir ) { + while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {} + return cur; +} + +jQuery.each( { + parent: function( elem ) { + var parent = elem.parentNode; + return parent && parent.nodeType !== 11 ? parent : null; + }, + parents: function( elem ) { + return dir( elem, "parentNode" ); + }, + parentsUntil: function( elem, i, until ) { + return dir( elem, "parentNode", until ); + }, + next: function( elem ) { + return sibling( elem, "nextSibling" ); + }, + prev: function( elem ) { + return sibling( elem, "previousSibling" ); + }, + nextAll: function( elem ) { + return dir( elem, "nextSibling" ); + }, + prevAll: function( elem ) { + return dir( elem, "previousSibling" ); + }, + nextUntil: function( elem, i, until ) { + return dir( elem, "nextSibling", until ); + }, + prevUntil: function( elem, i, until ) { + return dir( elem, "previousSibling", until ); + }, + siblings: function( elem ) { + return siblings( ( elem.parentNode || {} ).firstChild, elem ); + }, + children: function( elem ) { + return siblings( elem.firstChild ); + }, + contents: function( elem ) { + if ( nodeName( elem, "iframe" ) ) { + return elem.contentDocument; + } + + // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only + // Treat the template element as a regular one in browsers that + // don't support it. + if ( nodeName( elem, "template" ) ) { + elem = elem.content || elem; + } + + return jQuery.merge( [], elem.childNodes ); + } +}, function( name, fn ) { + jQuery.fn[ name ] = function( until, selector ) { + var matched = jQuery.map( this, fn, until ); + + if ( name.slice( -5 ) !== "Until" ) { + selector = until; + } + + if ( selector && typeof selector === "string" ) { + matched = jQuery.filter( selector, matched ); + } + + if ( this.length > 1 ) { + + // Remove duplicates + if ( !guaranteedUnique[ name ] ) { + jQuery.uniqueSort( matched ); + } + + // Reverse order for parents* and prev-derivatives + if ( rparentsprev.test( name ) ) { + matched.reverse(); + } + } + + return this.pushStack( matched ); + }; +} ); +var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g ); + + + +// Convert String-formatted options into Object-formatted ones +function createOptions( options ) { + var object = {}; + jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) { + object[ flag ] = true; + } ); + return object; +} + +/* + * Create a callback list using the following parameters: + * + * options: an optional list of space-separated options that will change how + * the callback list behaves or a more traditional option object + * + * By default a callback list will act like an event callback list and can be + * "fired" multiple times. + * + * Possible options: + * + * once: will ensure the callback list can only be fired once (like a Deferred) + * + * memory: will keep track of previous values and will call any callback added + * after the list has been fired right away with the latest "memorized" + * values (like a Deferred) + * + * unique: will ensure a callback can only be added once (no duplicate in the list) + * + * stopOnFalse: interrupt callings when a callback returns false + * + */ +jQuery.Callbacks = function( options ) { + + // Convert options from String-formatted to Object-formatted if needed + // (we check in cache first) + options = typeof options === "string" ? + createOptions( options ) : + jQuery.extend( {}, options ); + + var // Flag to know if list is currently firing + firing, + + // Last fire value for non-forgettable lists + memory, + + // Flag to know if list was already fired + fired, + + // Flag to prevent firing + locked, + + // Actual callback list + list = [], + + // Queue of execution data for repeatable lists + queue = [], + + // Index of currently firing callback (modified by add/remove as needed) + firingIndex = -1, + + // Fire callbacks + fire = function() { + + // Enforce single-firing + locked = locked || options.once; + + // Execute callbacks for all pending executions, + // respecting firingIndex overrides and runtime changes + fired = firing = true; + for ( ; queue.length; firingIndex = -1 ) { + memory = queue.shift(); + while ( ++firingIndex < list.length ) { + + // Run callback and check for early termination + if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false && + options.stopOnFalse ) { + + // Jump to end and forget the data so .add doesn't re-fire + firingIndex = list.length; + memory = false; + } + } + } + + // Forget the data if we're done with it + if ( !options.memory ) { + memory = false; + } + + firing = false; + + // Clean up if we're done firing for good + if ( locked ) { + + // Keep an empty list if we have data for future add calls + if ( memory ) { + list = []; + + // Otherwise, this object is spent + } else { + list = ""; + } + } + }, + + // Actual Callbacks object + self = { + + // Add a callback or a collection of callbacks to the list + add: function() { + if ( list ) { + + // If we have memory from a past run, we should fire after adding + if ( memory && !firing ) { + firingIndex = list.length - 1; + queue.push( memory ); + } + + ( function add( args ) { + jQuery.each( args, function( _, arg ) { + if ( jQuery.isFunction( arg ) ) { + if ( !options.unique || !self.has( arg ) ) { + list.push( arg ); + } + } else if ( arg && arg.length && jQuery.type( arg ) !== "string" ) { + + // Inspect recursively + add( arg ); + } + } ); + } )( arguments ); + + if ( memory && !firing ) { + fire(); + } + } + return this; + }, + + // Remove a callback from the list + remove: function() { + jQuery.each( arguments, function( _, arg ) { + var index; + while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { + list.splice( index, 1 ); + + // Handle firing indexes + if ( index <= firingIndex ) { + firingIndex--; + } + } + } ); + return this; + }, + + // Check if a given callback is in the list. + // If no argument is given, return whether or not list has callbacks attached. + has: function( fn ) { + return fn ? + jQuery.inArray( fn, list ) > -1 : + list.length > 0; + }, + + // Remove all callbacks from the list + empty: function() { + if ( list ) { + list = []; + } + return this; + }, + + // Disable .fire and .add + // Abort any current/pending executions + // Clear all callbacks and values + disable: function() { + locked = queue = []; + list = memory = ""; + return this; + }, + disabled: function() { + return !list; + }, + + // Disable .fire + // Also disable .add unless we have memory (since it would have no effect) + // Abort any pending executions + lock: function() { + locked = queue = []; + if ( !memory && !firing ) { + list = memory = ""; + } + return this; + }, + locked: function() { + return !!locked; + }, + + // Call all callbacks with the given context and arguments + fireWith: function( context, args ) { + if ( !locked ) { + args = args || []; + args = [ context, args.slice ? args.slice() : args ]; + queue.push( args ); + if ( !firing ) { + fire(); + } + } + return this; + }, + + // Call all the callbacks with the given arguments + fire: function() { + self.fireWith( this, arguments ); + return this; + }, + + // To know if the callbacks have already been called at least once + fired: function() { + return !!fired; + } + }; + + return self; +}; + + +function Identity( v ) { + return v; +} +function Thrower( ex ) { + throw ex; +} + +function adoptValue( value, resolve, reject, noValue ) { + var method; + + try { + + // Check for promise aspect first to privilege synchronous behavior + if ( value && jQuery.isFunction( ( method = value.promise ) ) ) { + method.call( value ).done( resolve ).fail( reject ); + + // Other thenables + } else if ( value && jQuery.isFunction( ( method = value.then ) ) ) { + method.call( value, resolve, reject ); + + // Other non-thenables + } else { + + // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer: + // * false: [ value ].slice( 0 ) => resolve( value ) + // * true: [ value ].slice( 1 ) => resolve() + resolve.apply( undefined, [ value ].slice( noValue ) ); + } + + // For Promises/A+, convert exceptions into rejections + // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in + // Deferred#then to conditionally suppress rejection. + } catch ( value ) { + + // Support: Android 4.0 only + // Strict mode functions invoked without .call/.apply get global-object context + reject.apply( undefined, [ value ] ); + } +} + +jQuery.extend( { + + Deferred: function( func ) { + var tuples = [ + + // action, add listener, callbacks, + // ... .then handlers, argument index, [final state] + [ "notify", "progress", jQuery.Callbacks( "memory" ), + jQuery.Callbacks( "memory" ), 2 ], + [ "resolve", "done", jQuery.Callbacks( "once memory" ), + jQuery.Callbacks( "once memory" ), 0, "resolved" ], + [ "reject", "fail", jQuery.Callbacks( "once memory" ), + jQuery.Callbacks( "once memory" ), 1, "rejected" ] + ], + state = "pending", + promise = { + state: function() { + return state; + }, + always: function() { + deferred.done( arguments ).fail( arguments ); + return this; + }, + "catch": function( fn ) { + return promise.then( null, fn ); + }, + + // Keep pipe for back-compat + pipe: function( /* fnDone, fnFail, fnProgress */ ) { + var fns = arguments; + + return jQuery.Deferred( function( newDefer ) { + jQuery.each( tuples, function( i, tuple ) { + + // Map tuples (progress, done, fail) to arguments (done, fail, progress) + var fn = jQuery.isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; + + // deferred.progress(function() { bind to newDefer or newDefer.notify }) + // deferred.done(function() { bind to newDefer or newDefer.resolve }) + // deferred.fail(function() { bind to newDefer or newDefer.reject }) + deferred[ tuple[ 1 ] ]( function() { + var returned = fn && fn.apply( this, arguments ); + if ( returned && jQuery.isFunction( returned.promise ) ) { + returned.promise() + .progress( newDefer.notify ) + .done( newDefer.resolve ) + .fail( newDefer.reject ); + } else { + newDefer[ tuple[ 0 ] + "With" ]( + this, + fn ? [ returned ] : arguments + ); + } + } ); + } ); + fns = null; + } ).promise(); + }, + then: function( onFulfilled, onRejected, onProgress ) { + var maxDepth = 0; + function resolve( depth, deferred, handler, special ) { + return function() { + var that = this, + args = arguments, + mightThrow = function() { + var returned, then; + + // Support: Promises/A+ section 2.3.3.3.3 + // https://promisesaplus.com/#point-59 + // Ignore double-resolution attempts + if ( depth < maxDepth ) { + return; + } + + returned = handler.apply( that, args ); + + // Support: Promises/A+ section 2.3.1 + // https://promisesaplus.com/#point-48 + if ( returned === deferred.promise() ) { + throw new TypeError( "Thenable self-resolution" ); + } + + // Support: Promises/A+ sections 2.3.3.1, 3.5 + // https://promisesaplus.com/#point-54 + // https://promisesaplus.com/#point-75 + // Retrieve `then` only once + then = returned && + + // Support: Promises/A+ section 2.3.4 + // https://promisesaplus.com/#point-64 + // Only check objects and functions for thenability + ( typeof returned === "object" || + typeof returned === "function" ) && + returned.then; + + // Handle a returned thenable + if ( jQuery.isFunction( then ) ) { + + // Special processors (notify) just wait for resolution + if ( special ) { + then.call( + returned, + resolve( maxDepth, deferred, Identity, special ), + resolve( maxDepth, deferred, Thrower, special ) + ); + + // Normal processors (resolve) also hook into progress + } else { + + // ...and disregard older resolution values + maxDepth++; + + then.call( + returned, + resolve( maxDepth, deferred, Identity, special ), + resolve( maxDepth, deferred, Thrower, special ), + resolve( maxDepth, deferred, Identity, + deferred.notifyWith ) + ); + } + + // Handle all other returned values + } else { + + // Only substitute handlers pass on context + // and multiple values (non-spec behavior) + if ( handler !== Identity ) { + that = undefined; + args = [ returned ]; + } + + // Process the value(s) + // Default process is resolve + ( special || deferred.resolveWith )( that, args ); + } + }, + + // Only normal processors (resolve) catch and reject exceptions + process = special ? + mightThrow : + function() { + try { + mightThrow(); + } catch ( e ) { + + if ( jQuery.Deferred.exceptionHook ) { + jQuery.Deferred.exceptionHook( e, + process.stackTrace ); + } + + // Support: Promises/A+ section 2.3.3.3.4.1 + // https://promisesaplus.com/#point-61 + // Ignore post-resolution exceptions + if ( depth + 1 >= maxDepth ) { + + // Only substitute handlers pass on context + // and multiple values (non-spec behavior) + if ( handler !== Thrower ) { + that = undefined; + args = [ e ]; + } + + deferred.rejectWith( that, args ); + } + } + }; + + // Support: Promises/A+ section 2.3.3.3.1 + // https://promisesaplus.com/#point-57 + // Re-resolve promises immediately to dodge false rejection from + // subsequent errors + if ( depth ) { + process(); + } else { + + // Call an optional hook to record the stack, in case of exception + // since it's otherwise lost when execution goes async + if ( jQuery.Deferred.getStackHook ) { + process.stackTrace = jQuery.Deferred.getStackHook(); + } + window.setTimeout( process ); + } + }; + } + + return jQuery.Deferred( function( newDefer ) { + + // progress_handlers.add( ... ) + tuples[ 0 ][ 3 ].add( + resolve( + 0, + newDefer, + jQuery.isFunction( onProgress ) ? + onProgress : + Identity, + newDefer.notifyWith + ) + ); + + // fulfilled_handlers.add( ... ) + tuples[ 1 ][ 3 ].add( + resolve( + 0, + newDefer, + jQuery.isFunction( onFulfilled ) ? + onFulfilled : + Identity + ) + ); + + // rejected_handlers.add( ... ) + tuples[ 2 ][ 3 ].add( + resolve( + 0, + newDefer, + jQuery.isFunction( onRejected ) ? + onRejected : + Thrower + ) + ); + } ).promise(); + }, + + // Get a promise for this deferred + // If obj is provided, the promise aspect is added to the object + promise: function( obj ) { + return obj != null ? jQuery.extend( obj, promise ) : promise; + } + }, + deferred = {}; + + // Add list-specific methods + jQuery.each( tuples, function( i, tuple ) { + var list = tuple[ 2 ], + stateString = tuple[ 5 ]; + + // promise.progress = list.add + // promise.done = list.add + // promise.fail = list.add + promise[ tuple[ 1 ] ] = list.add; + + // Handle state + if ( stateString ) { + list.add( + function() { + + // state = "resolved" (i.e., fulfilled) + // state = "rejected" + state = stateString; + }, + + // rejected_callbacks.disable + // fulfilled_callbacks.disable + tuples[ 3 - i ][ 2 ].disable, + + // progress_callbacks.lock + tuples[ 0 ][ 2 ].lock + ); + } + + // progress_handlers.fire + // fulfilled_handlers.fire + // rejected_handlers.fire + list.add( tuple[ 3 ].fire ); + + // deferred.notify = function() { deferred.notifyWith(...) } + // deferred.resolve = function() { deferred.resolveWith(...) } + // deferred.reject = function() { deferred.rejectWith(...) } + deferred[ tuple[ 0 ] ] = function() { + deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments ); + return this; + }; + + // deferred.notifyWith = list.fireWith + // deferred.resolveWith = list.fireWith + // deferred.rejectWith = list.fireWith + deferred[ tuple[ 0 ] + "With" ] = list.fireWith; + } ); + + // Make the deferred a promise + promise.promise( deferred ); + + // Call given func if any + if ( func ) { + func.call( deferred, deferred ); + } + + // All done! + return deferred; + }, + + // Deferred helper + when: function( singleValue ) { + var + + // count of uncompleted subordinates + remaining = arguments.length, + + // count of unprocessed arguments + i = remaining, + + // subordinate fulfillment data + resolveContexts = Array( i ), + resolveValues = slice.call( arguments ), + + // the master Deferred + master = jQuery.Deferred(), + + // subordinate callback factory + updateFunc = function( i ) { + return function( value ) { + resolveContexts[ i ] = this; + resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; + if ( !( --remaining ) ) { + master.resolveWith( resolveContexts, resolveValues ); + } + }; + }; + + // Single- and empty arguments are adopted like Promise.resolve + if ( remaining <= 1 ) { + adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject, + !remaining ); + + // Use .then() to unwrap secondary thenables (cf. gh-3000) + if ( master.state() === "pending" || + jQuery.isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { + + return master.then(); + } + } + + // Multiple arguments are aggregated like Promise.all array elements + while ( i-- ) { + adoptValue( resolveValues[ i ], updateFunc( i ), master.reject ); + } + + return master.promise(); + } +} ); + + +// These usually indicate a programmer mistake during development, +// warn about them ASAP rather than swallowing them by default. +var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/; + +jQuery.Deferred.exceptionHook = function( error, stack ) { + + // Support: IE 8 - 9 only + // Console exists when dev tools are open, which can happen at any time + if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) { + window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack ); + } +}; + + + + +jQuery.readyException = function( error ) { + window.setTimeout( function() { + throw error; + } ); +}; + + + + +// The deferred used on DOM ready +var readyList = jQuery.Deferred(); + +jQuery.fn.ready = function( fn ) { + + readyList + .then( fn ) + + // Wrap jQuery.readyException in a function so that the lookup + // happens at the time of error handling instead of callback + // registration. + .catch( function( error ) { + jQuery.readyException( error ); + } ); + + return this; +}; + +jQuery.extend( { + + // Is the DOM ready to be used? Set to true once it occurs. + isReady: false, + + // A counter to track how many items to wait for before + // the ready event fires. See #6781 + readyWait: 1, + + // Handle when the DOM is ready + ready: function( wait ) { + + // Abort if there are pending holds or we're already ready + if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { + return; + } + + // Remember that the DOM is ready + jQuery.isReady = true; + + // If a normal DOM Ready event fired, decrement, and wait if need be + if ( wait !== true && --jQuery.readyWait > 0 ) { + return; + } + + // If there are functions bound, to execute + readyList.resolveWith( document, [ jQuery ] ); + } +} ); + +jQuery.ready.then = readyList.then; + +// The ready event handler and self cleanup method +function completed() { + document.removeEventListener( "DOMContentLoaded", completed ); + window.removeEventListener( "load", completed ); + jQuery.ready(); +} + +// Catch cases where $(document).ready() is called +// after the browser event has already occurred. +// Support: IE <=9 - 10 only +// Older IE sometimes signals "interactive" too soon +if ( document.readyState === "complete" || + ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) { + + // Handle it asynchronously to allow scripts the opportunity to delay ready + window.setTimeout( jQuery.ready ); + +} else { + + // Use the handy event callback + document.addEventListener( "DOMContentLoaded", completed ); + + // A fallback to window.onload, that will always work + window.addEventListener( "load", completed ); +} + + + + +// Multifunctional method to get and set values of a collection +// The value/s can optionally be executed if it's a function +var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { + var i = 0, + len = elems.length, + bulk = key == null; + + // Sets many values + if ( jQuery.type( key ) === "object" ) { + chainable = true; + for ( i in key ) { + access( elems, fn, i, key[ i ], true, emptyGet, raw ); + } + + // Sets one value + } else if ( value !== undefined ) { + chainable = true; + + if ( !jQuery.isFunction( value ) ) { + raw = true; + } + + if ( bulk ) { + + // Bulk operations run against the entire set + if ( raw ) { + fn.call( elems, value ); + fn = null; + + // ...except when executing function values + } else { + bulk = fn; + fn = function( elem, key, value ) { + return bulk.call( jQuery( elem ), value ); + }; + } + } + + if ( fn ) { + for ( ; i < len; i++ ) { + fn( + elems[ i ], key, raw ? + value : + value.call( elems[ i ], i, fn( elems[ i ], key ) ) + ); + } + } + } + + if ( chainable ) { + return elems; + } + + // Gets + if ( bulk ) { + return fn.call( elems ); + } + + return len ? fn( elems[ 0 ], key ) : emptyGet; +}; +var acceptData = function( owner ) { + + // Accepts only: + // - Node + // - Node.ELEMENT_NODE + // - Node.DOCUMENT_NODE + // - Object + // - Any + return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType ); +}; + + + + +function Data() { + this.expando = jQuery.expando + Data.uid++; +} + +Data.uid = 1; + +Data.prototype = { + + cache: function( owner ) { + + // Check if the owner object already has a cache + var value = owner[ this.expando ]; + + // If not, create one + if ( !value ) { + value = {}; + + // We can accept data for non-element nodes in modern browsers, + // but we should not, see #8335. + // Always return an empty object. + if ( acceptData( owner ) ) { + + // If it is a node unlikely to be stringify-ed or looped over + // use plain assignment + if ( owner.nodeType ) { + owner[ this.expando ] = value; + + // Otherwise secure it in a non-enumerable property + // configurable must be true to allow the property to be + // deleted when data is removed + } else { + Object.defineProperty( owner, this.expando, { + value: value, + configurable: true + } ); + } + } + } + + return value; + }, + set: function( owner, data, value ) { + var prop, + cache = this.cache( owner ); + + // Handle: [ owner, key, value ] args + // Always use camelCase key (gh-2257) + if ( typeof data === "string" ) { + cache[ jQuery.camelCase( data ) ] = value; + + // Handle: [ owner, { properties } ] args + } else { + + // Copy the properties one-by-one to the cache object + for ( prop in data ) { + cache[ jQuery.camelCase( prop ) ] = data[ prop ]; + } + } + return cache; + }, + get: function( owner, key ) { + return key === undefined ? + this.cache( owner ) : + + // Always use camelCase key (gh-2257) + owner[ this.expando ] && owner[ this.expando ][ jQuery.camelCase( key ) ]; + }, + access: function( owner, key, value ) { + + // In cases where either: + // + // 1. No key was specified + // 2. A string key was specified, but no value provided + // + // Take the "read" path and allow the get method to determine + // which value to return, respectively either: + // + // 1. The entire cache object + // 2. The data stored at the key + // + if ( key === undefined || + ( ( key && typeof key === "string" ) && value === undefined ) ) { + + return this.get( owner, key ); + } + + // When the key is not a string, or both a key and value + // are specified, set or extend (existing objects) with either: + // + // 1. An object of properties + // 2. A key and value + // + this.set( owner, key, value ); + + // Since the "set" path can have two possible entry points + // return the expected data based on which path was taken[*] + return value !== undefined ? value : key; + }, + remove: function( owner, key ) { + var i, + cache = owner[ this.expando ]; + + if ( cache === undefined ) { + return; + } + + if ( key !== undefined ) { + + // Support array or space separated string of keys + if ( Array.isArray( key ) ) { + + // If key is an array of keys... + // We always set camelCase keys, so remove that. + key = key.map( jQuery.camelCase ); + } else { + key = jQuery.camelCase( key ); + + // If a key with the spaces exists, use it. + // Otherwise, create an array by matching non-whitespace + key = key in cache ? + [ key ] : + ( key.match( rnothtmlwhite ) || [] ); + } + + i = key.length; + + while ( i-- ) { + delete cache[ key[ i ] ]; + } + } + + // Remove the expando if there's no more data + if ( key === undefined || jQuery.isEmptyObject( cache ) ) { + + // Support: Chrome <=35 - 45 + // Webkit & Blink performance suffers when deleting properties + // from DOM nodes, so set to undefined instead + // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted) + if ( owner.nodeType ) { + owner[ this.expando ] = undefined; + } else { + delete owner[ this.expando ]; + } + } + }, + hasData: function( owner ) { + var cache = owner[ this.expando ]; + return cache !== undefined && !jQuery.isEmptyObject( cache ); + } +}; +var dataPriv = new Data(); + +var dataUser = new Data(); + + + +// Implementation Summary +// +// 1. Enforce API surface and semantic compatibility with 1.9.x branch +// 2. Improve the module's maintainability by reducing the storage +// paths to a single mechanism. +// 3. Use the same single mechanism to support "private" and "user" data. +// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) +// 5. Avoid exposing implementation details on user objects (eg. expando properties) +// 6. Provide a clear path for implementation upgrade to WeakMap in 2014 + +var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, + rmultiDash = /[A-Z]/g; + +function getData( data ) { + if ( data === "true" ) { + return true; + } + + if ( data === "false" ) { + return false; + } + + if ( data === "null" ) { + return null; + } + + // Only convert to a number if it doesn't change the string + if ( data === +data + "" ) { + return +data; + } + + if ( rbrace.test( data ) ) { + return JSON.parse( data ); + } + + return data; +} + +function dataAttr( elem, key, data ) { + var name; + + // If nothing was found internally, try to fetch any + // data from the HTML5 data-* attribute + if ( data === undefined && elem.nodeType === 1 ) { + name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase(); + data = elem.getAttribute( name ); + + if ( typeof data === "string" ) { + try { + data = getData( data ); + } catch ( e ) {} + + // Make sure we set the data so it isn't changed later + dataUser.set( elem, key, data ); + } else { + data = undefined; + } + } + return data; +} + +jQuery.extend( { + hasData: function( elem ) { + return dataUser.hasData( elem ) || dataPriv.hasData( elem ); + }, + + data: function( elem, name, data ) { + return dataUser.access( elem, name, data ); + }, + + removeData: function( elem, name ) { + dataUser.remove( elem, name ); + }, + + // TODO: Now that all calls to _data and _removeData have been replaced + // with direct calls to dataPriv methods, these can be deprecated. + _data: function( elem, name, data ) { + return dataPriv.access( elem, name, data ); + }, + + _removeData: function( elem, name ) { + dataPriv.remove( elem, name ); + } +} ); + +jQuery.fn.extend( { + data: function( key, value ) { + var i, name, data, + elem = this[ 0 ], + attrs = elem && elem.attributes; + + // Gets all values + if ( key === undefined ) { + if ( this.length ) { + data = dataUser.get( elem ); + + if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) { + i = attrs.length; + while ( i-- ) { + + // Support: IE 11 only + // The attrs elements can be null (#14894) + if ( attrs[ i ] ) { + name = attrs[ i ].name; + if ( name.indexOf( "data-" ) === 0 ) { + name = jQuery.camelCase( name.slice( 5 ) ); + dataAttr( elem, name, data[ name ] ); + } + } + } + dataPriv.set( elem, "hasDataAttrs", true ); + } + } + + return data; + } + + // Sets multiple values + if ( typeof key === "object" ) { + return this.each( function() { + dataUser.set( this, key ); + } ); + } + + return access( this, function( value ) { + var data; + + // The calling jQuery object (element matches) is not empty + // (and therefore has an element appears at this[ 0 ]) and the + // `value` parameter was not undefined. An empty jQuery object + // will result in `undefined` for elem = this[ 0 ] which will + // throw an exception if an attempt to read a data cache is made. + if ( elem && value === undefined ) { + + // Attempt to get data from the cache + // The key will always be camelCased in Data + data = dataUser.get( elem, key ); + if ( data !== undefined ) { + return data; + } + + // Attempt to "discover" the data in + // HTML5 custom data-* attrs + data = dataAttr( elem, key ); + if ( data !== undefined ) { + return data; + } + + // We tried really hard, but the data doesn't exist. + return; + } + + // Set the data... + this.each( function() { + + // We always store the camelCased key + dataUser.set( this, key, value ); + } ); + }, null, value, arguments.length > 1, null, true ); + }, + + removeData: function( key ) { + return this.each( function() { + dataUser.remove( this, key ); + } ); + } +} ); + + +jQuery.extend( { + queue: function( elem, type, data ) { + var queue; + + if ( elem ) { + type = ( type || "fx" ) + "queue"; + queue = dataPriv.get( elem, type ); + + // Speed up dequeue by getting out quickly if this is just a lookup + if ( data ) { + if ( !queue || Array.isArray( data ) ) { + queue = dataPriv.access( elem, type, jQuery.makeArray( data ) ); + } else { + queue.push( data ); + } + } + return queue || []; + } + }, + + dequeue: function( elem, type ) { + type = type || "fx"; + + var queue = jQuery.queue( elem, type ), + startLength = queue.length, + fn = queue.shift(), + hooks = jQuery._queueHooks( elem, type ), + next = function() { + jQuery.dequeue( elem, type ); + }; + + // If the fx queue is dequeued, always remove the progress sentinel + if ( fn === "inprogress" ) { + fn = queue.shift(); + startLength--; + } + + if ( fn ) { + + // Add a progress sentinel to prevent the fx queue from being + // automatically dequeued + if ( type === "fx" ) { + queue.unshift( "inprogress" ); + } + + // Clear up the last queue stop function + delete hooks.stop; + fn.call( elem, next, hooks ); + } + + if ( !startLength && hooks ) { + hooks.empty.fire(); + } + }, + + // Not public - generate a queueHooks object, or return the current one + _queueHooks: function( elem, type ) { + var key = type + "queueHooks"; + return dataPriv.get( elem, key ) || dataPriv.access( elem, key, { + empty: jQuery.Callbacks( "once memory" ).add( function() { + dataPriv.remove( elem, [ type + "queue", key ] ); + } ) + } ); + } +} ); + +jQuery.fn.extend( { + queue: function( type, data ) { + var setter = 2; + + if ( typeof type !== "string" ) { + data = type; + type = "fx"; + setter--; + } + + if ( arguments.length < setter ) { + return jQuery.queue( this[ 0 ], type ); + } + + return data === undefined ? + this : + this.each( function() { + var queue = jQuery.queue( this, type, data ); + + // Ensure a hooks for this queue + jQuery._queueHooks( this, type ); + + if ( type === "fx" && queue[ 0 ] !== "inprogress" ) { + jQuery.dequeue( this, type ); + } + } ); + }, + dequeue: function( type ) { + return this.each( function() { + jQuery.dequeue( this, type ); + } ); + }, + clearQueue: function( type ) { + return this.queue( type || "fx", [] ); + }, + + // Get a promise resolved when queues of a certain type + // are emptied (fx is the type by default) + promise: function( type, obj ) { + var tmp, + count = 1, + defer = jQuery.Deferred(), + elements = this, + i = this.length, + resolve = function() { + if ( !( --count ) ) { + defer.resolveWith( elements, [ elements ] ); + } + }; + + if ( typeof type !== "string" ) { + obj = type; + type = undefined; + } + type = type || "fx"; + + while ( i-- ) { + tmp = dataPriv.get( elements[ i ], type + "queueHooks" ); + if ( tmp && tmp.empty ) { + count++; + tmp.empty.add( resolve ); + } + } + resolve(); + return defer.promise( obj ); + } +} ); +var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source; + +var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ); + + +var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; + +var isHiddenWithinTree = function( elem, el ) { + + // isHiddenWithinTree might be called from jQuery#filter function; + // in that case, element will be second argument + elem = el || elem; + + // Inline style trumps all + return elem.style.display === "none" || + elem.style.display === "" && + + // Otherwise, check computed style + // Support: Firefox <=43 - 45 + // Disconnected elements can have computed display: none, so first confirm that elem is + // in the document. + jQuery.contains( elem.ownerDocument, elem ) && + + jQuery.css( elem, "display" ) === "none"; + }; + +var swap = function( elem, options, callback, args ) { + var ret, name, + old = {}; + + // Remember the old values, and insert the new ones + for ( name in options ) { + old[ name ] = elem.style[ name ]; + elem.style[ name ] = options[ name ]; + } + + ret = callback.apply( elem, args || [] ); + + // Revert the old values + for ( name in options ) { + elem.style[ name ] = old[ name ]; + } + + return ret; +}; + + + + +function adjustCSS( elem, prop, valueParts, tween ) { + var adjusted, + scale = 1, + maxIterations = 20, + currentValue = tween ? + function() { + return tween.cur(); + } : + function() { + return jQuery.css( elem, prop, "" ); + }, + initial = currentValue(), + unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ), + + // Starting value computation is required for potential unit mismatches + initialInUnit = ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) && + rcssNum.exec( jQuery.css( elem, prop ) ); + + if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { + + // Trust units reported by jQuery.css + unit = unit || initialInUnit[ 3 ]; + + // Make sure we update the tween properties later on + valueParts = valueParts || []; + + // Iteratively approximate from a nonzero starting point + initialInUnit = +initial || 1; + + do { + + // If previous iteration zeroed out, double until we get *something*. + // Use string for doubling so we don't accidentally see scale as unchanged below + scale = scale || ".5"; + + // Adjust and apply + initialInUnit = initialInUnit / scale; + jQuery.style( elem, prop, initialInUnit + unit ); + + // Update scale, tolerating zero or NaN from tween.cur() + // Break the loop if scale is unchanged or perfect, or if we've just had enough. + } while ( + scale !== ( scale = currentValue() / initial ) && scale !== 1 && --maxIterations + ); + } + + if ( valueParts ) { + initialInUnit = +initialInUnit || +initial || 0; + + // Apply relative offset (+=/-=) if specified + adjusted = valueParts[ 1 ] ? + initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] : + +valueParts[ 2 ]; + if ( tween ) { + tween.unit = unit; + tween.start = initialInUnit; + tween.end = adjusted; + } + } + return adjusted; +} + + +var defaultDisplayMap = {}; + +function getDefaultDisplay( elem ) { + var temp, + doc = elem.ownerDocument, + nodeName = elem.nodeName, + display = defaultDisplayMap[ nodeName ]; + + if ( display ) { + return display; + } + + temp = doc.body.appendChild( doc.createElement( nodeName ) ); + display = jQuery.css( temp, "display" ); + + temp.parentNode.removeChild( temp ); + + if ( display === "none" ) { + display = "block"; + } + defaultDisplayMap[ nodeName ] = display; + + return display; +} + +function showHide( elements, show ) { + var display, elem, + values = [], + index = 0, + length = elements.length; + + // Determine new display value for elements that need to change + for ( ; index < length; index++ ) { + elem = elements[ index ]; + if ( !elem.style ) { + continue; + } + + display = elem.style.display; + if ( show ) { + + // Since we force visibility upon cascade-hidden elements, an immediate (and slow) + // check is required in this first loop unless we have a nonempty display value (either + // inline or about-to-be-restored) + if ( display === "none" ) { + values[ index ] = dataPriv.get( elem, "display" ) || null; + if ( !values[ index ] ) { + elem.style.display = ""; + } + } + if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) { + values[ index ] = getDefaultDisplay( elem ); + } + } else { + if ( display !== "none" ) { + values[ index ] = "none"; + + // Remember what we're overwriting + dataPriv.set( elem, "display", display ); + } + } + } + + // Set the display of the elements in a second loop to avoid constant reflow + for ( index = 0; index < length; index++ ) { + if ( values[ index ] != null ) { + elements[ index ].style.display = values[ index ]; + } + } + + return elements; +} + +jQuery.fn.extend( { + show: function() { + return showHide( this, true ); + }, + hide: function() { + return showHide( this ); + }, + toggle: function( state ) { + if ( typeof state === "boolean" ) { + return state ? this.show() : this.hide(); + } + + return this.each( function() { + if ( isHiddenWithinTree( this ) ) { + jQuery( this ).show(); + } else { + jQuery( this ).hide(); + } + } ); + } +} ); +var rcheckableType = ( /^(?:checkbox|radio)$/i ); + +var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]+)/i ); + +var rscriptType = ( /^$|\/(?:java|ecma)script/i ); + + + +// We have to close these tags to support XHTML (#13200) +var wrapMap = { + + // Support: IE <=9 only + option: [ 1, "" ], + + // XHTML parsers do not magically insert elements in the + // same way that tag soup parsers do. So we cannot shorten + // this by omitting or other required elements. + thead: [ 1, "", "
        " ], + col: [ 2, "", "
        " ], + tr: [ 2, "", "
        " ], + td: [ 3, "", "
        " ], + + _default: [ 0, "", "" ] +}; + +// Support: IE <=9 only +wrapMap.optgroup = wrapMap.option; + +wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; +wrapMap.th = wrapMap.td; + + +function getAll( context, tag ) { + + // Support: IE <=9 - 11 only + // Use typeof to avoid zero-argument method invocation on host objects (#15151) + var ret; + + if ( typeof context.getElementsByTagName !== "undefined" ) { + ret = context.getElementsByTagName( tag || "*" ); + + } else if ( typeof context.querySelectorAll !== "undefined" ) { + ret = context.querySelectorAll( tag || "*" ); + + } else { + ret = []; + } + + if ( tag === undefined || tag && nodeName( context, tag ) ) { + return jQuery.merge( [ context ], ret ); + } + + return ret; +} + + +// Mark scripts as having already been evaluated +function setGlobalEval( elems, refElements ) { + var i = 0, + l = elems.length; + + for ( ; i < l; i++ ) { + dataPriv.set( + elems[ i ], + "globalEval", + !refElements || dataPriv.get( refElements[ i ], "globalEval" ) + ); + } +} + + +var rhtml = /<|&#?\w+;/; + +function buildFragment( elems, context, scripts, selection, ignored ) { + var elem, tmp, tag, wrap, contains, j, + fragment = context.createDocumentFragment(), + nodes = [], + i = 0, + l = elems.length; + + for ( ; i < l; i++ ) { + elem = elems[ i ]; + + if ( elem || elem === 0 ) { + + // Add nodes directly + if ( jQuery.type( elem ) === "object" ) { + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); + + // Convert non-html into a text node + } else if ( !rhtml.test( elem ) ) { + nodes.push( context.createTextNode( elem ) ); + + // Convert html into DOM nodes + } else { + tmp = tmp || fragment.appendChild( context.createElement( "div" ) ); + + // Deserialize a standard representation + tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase(); + wrap = wrapMap[ tag ] || wrapMap._default; + tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ]; + + // Descend through wrappers to the right content + j = wrap[ 0 ]; + while ( j-- ) { + tmp = tmp.lastChild; + } + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( nodes, tmp.childNodes ); + + // Remember the top-level container + tmp = fragment.firstChild; + + // Ensure the created nodes are orphaned (#12392) + tmp.textContent = ""; + } + } + } + + // Remove wrapper from fragment + fragment.textContent = ""; + + i = 0; + while ( ( elem = nodes[ i++ ] ) ) { + + // Skip elements already in the context collection (trac-4087) + if ( selection && jQuery.inArray( elem, selection ) > -1 ) { + if ( ignored ) { + ignored.push( elem ); + } + continue; + } + + contains = jQuery.contains( elem.ownerDocument, elem ); + + // Append to fragment + tmp = getAll( fragment.appendChild( elem ), "script" ); + + // Preserve script evaluation history + if ( contains ) { + setGlobalEval( tmp ); + } + + // Capture executables + if ( scripts ) { + j = 0; + while ( ( elem = tmp[ j++ ] ) ) { + if ( rscriptType.test( elem.type || "" ) ) { + scripts.push( elem ); + } + } + } + } + + return fragment; +} + + +( function() { + var fragment = document.createDocumentFragment(), + div = fragment.appendChild( document.createElement( "div" ) ), + input = document.createElement( "input" ); + + // Support: Android 4.0 - 4.3 only + // Check state lost if the name is set (#11217) + // Support: Windows Web Apps (WWA) + // `name` and `type` must use .setAttribute for WWA (#14901) + input.setAttribute( "type", "radio" ); + input.setAttribute( "checked", "checked" ); + input.setAttribute( "name", "t" ); + + div.appendChild( input ); + + // Support: Android <=4.1 only + // Older WebKit doesn't clone checked state correctly in fragments + support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; + + // Support: IE <=11 only + // Make sure textarea (and checkbox) defaultValue is properly cloned + div.innerHTML = ""; + support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; +} )(); +var documentElement = document.documentElement; + + + +var + rkeyEvent = /^key/, + rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/, + rtypenamespace = /^([^.]*)(?:\.(.+)|)/; + +function returnTrue() { + return true; +} + +function returnFalse() { + return false; +} + +// Support: IE <=9 only +// See #13393 for more info +function safeActiveElement() { + try { + return document.activeElement; + } catch ( err ) { } +} + +function on( elem, types, selector, data, fn, one ) { + var origFn, type; + + // Types can be a map of types/handlers + if ( typeof types === "object" ) { + + // ( types-Object, selector, data ) + if ( typeof selector !== "string" ) { + + // ( types-Object, data ) + data = data || selector; + selector = undefined; + } + for ( type in types ) { + on( elem, type, selector, data, types[ type ], one ); + } + return elem; + } + + if ( data == null && fn == null ) { + + // ( types, fn ) + fn = selector; + data = selector = undefined; + } else if ( fn == null ) { + if ( typeof selector === "string" ) { + + // ( types, selector, fn ) + fn = data; + data = undefined; + } else { + + // ( types, data, fn ) + fn = data; + data = selector; + selector = undefined; + } + } + if ( fn === false ) { + fn = returnFalse; + } else if ( !fn ) { + return elem; + } + + if ( one === 1 ) { + origFn = fn; + fn = function( event ) { + + // Can use an empty set, since event contains the info + jQuery().off( event ); + return origFn.apply( this, arguments ); + }; + + // Use same guid so caller can remove using origFn + fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); + } + return elem.each( function() { + jQuery.event.add( this, types, fn, data, selector ); + } ); +} + +/* + * Helper functions for managing events -- not part of the public interface. + * Props to Dean Edwards' addEvent library for many of the ideas. + */ +jQuery.event = { + + global: {}, + + add: function( elem, types, handler, data, selector ) { + + var handleObjIn, eventHandle, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = dataPriv.get( elem ); + + // Don't attach events to noData or text/comment nodes (but allow plain objects) + if ( !elemData ) { + return; + } + + // Caller can pass in an object of custom data in lieu of the handler + if ( handler.handler ) { + handleObjIn = handler; + handler = handleObjIn.handler; + selector = handleObjIn.selector; + } + + // Ensure that invalid selectors throw exceptions at attach time + // Evaluate against documentElement in case elem is a non-element node (e.g., document) + if ( selector ) { + jQuery.find.matchesSelector( documentElement, selector ); + } + + // Make sure that the handler has a unique ID, used to find/remove it later + if ( !handler.guid ) { + handler.guid = jQuery.guid++; + } + + // Init the element's event structure and main handler, if this is the first + if ( !( events = elemData.events ) ) { + events = elemData.events = {}; + } + if ( !( eventHandle = elemData.handle ) ) { + eventHandle = elemData.handle = function( e ) { + + // Discard the second event of a jQuery.event.trigger() and + // when an event is called after a page has unloaded + return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ? + jQuery.event.dispatch.apply( elem, arguments ) : undefined; + }; + } + + // Handle multiple events separated by a space + types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[ t ] ) || []; + type = origType = tmp[ 1 ]; + namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); + + // There *must* be a type, no attaching namespace-only handlers + if ( !type ) { + continue; + } + + // If event changes its type, use the special event handlers for the changed type + special = jQuery.event.special[ type ] || {}; + + // If selector defined, determine special event api type, otherwise given type + type = ( selector ? special.delegateType : special.bindType ) || type; + + // Update special based on newly reset type + special = jQuery.event.special[ type ] || {}; + + // handleObj is passed to all event handlers + handleObj = jQuery.extend( { + type: type, + origType: origType, + data: data, + handler: handler, + guid: handler.guid, + selector: selector, + needsContext: selector && jQuery.expr.match.needsContext.test( selector ), + namespace: namespaces.join( "." ) + }, handleObjIn ); + + // Init the event handler queue if we're the first + if ( !( handlers = events[ type ] ) ) { + handlers = events[ type ] = []; + handlers.delegateCount = 0; + + // Only use addEventListener if the special events handler returns false + if ( !special.setup || + special.setup.call( elem, data, namespaces, eventHandle ) === false ) { + + if ( elem.addEventListener ) { + elem.addEventListener( type, eventHandle ); + } + } + } + + if ( special.add ) { + special.add.call( elem, handleObj ); + + if ( !handleObj.handler.guid ) { + handleObj.handler.guid = handler.guid; + } + } + + // Add to the element's handler list, delegates in front + if ( selector ) { + handlers.splice( handlers.delegateCount++, 0, handleObj ); + } else { + handlers.push( handleObj ); + } + + // Keep track of which events have ever been used, for event optimization + jQuery.event.global[ type ] = true; + } + + }, + + // Detach an event or set of events from an element + remove: function( elem, types, handler, selector, mappedTypes ) { + + var j, origCount, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = dataPriv.hasData( elem ) && dataPriv.get( elem ); + + if ( !elemData || !( events = elemData.events ) ) { + return; + } + + // Once for each type.namespace in types; type may be omitted + types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[ t ] ) || []; + type = origType = tmp[ 1 ]; + namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); + + // Unbind all events (on this namespace, if provided) for the element + if ( !type ) { + for ( type in events ) { + jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); + } + continue; + } + + special = jQuery.event.special[ type ] || {}; + type = ( selector ? special.delegateType : special.bindType ) || type; + handlers = events[ type ] || []; + tmp = tmp[ 2 ] && + new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ); + + // Remove matching events + origCount = j = handlers.length; + while ( j-- ) { + handleObj = handlers[ j ]; + + if ( ( mappedTypes || origType === handleObj.origType ) && + ( !handler || handler.guid === handleObj.guid ) && + ( !tmp || tmp.test( handleObj.namespace ) ) && + ( !selector || selector === handleObj.selector || + selector === "**" && handleObj.selector ) ) { + handlers.splice( j, 1 ); + + if ( handleObj.selector ) { + handlers.delegateCount--; + } + if ( special.remove ) { + special.remove.call( elem, handleObj ); + } + } + } + + // Remove generic event handler if we removed something and no more handlers exist + // (avoids potential for endless recursion during removal of special event handlers) + if ( origCount && !handlers.length ) { + if ( !special.teardown || + special.teardown.call( elem, namespaces, elemData.handle ) === false ) { + + jQuery.removeEvent( elem, type, elemData.handle ); + } + + delete events[ type ]; + } + } + + // Remove data and the expando if it's no longer used + if ( jQuery.isEmptyObject( events ) ) { + dataPriv.remove( elem, "handle events" ); + } + }, + + dispatch: function( nativeEvent ) { + + // Make a writable jQuery.Event from the native event object + var event = jQuery.event.fix( nativeEvent ); + + var i, j, ret, matched, handleObj, handlerQueue, + args = new Array( arguments.length ), + handlers = ( dataPriv.get( this, "events" ) || {} )[ event.type ] || [], + special = jQuery.event.special[ event.type ] || {}; + + // Use the fix-ed jQuery.Event rather than the (read-only) native event + args[ 0 ] = event; + + for ( i = 1; i < arguments.length; i++ ) { + args[ i ] = arguments[ i ]; + } + + event.delegateTarget = this; + + // Call the preDispatch hook for the mapped type, and let it bail if desired + if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { + return; + } + + // Determine handlers + handlerQueue = jQuery.event.handlers.call( this, event, handlers ); + + // Run delegates first; they may want to stop propagation beneath us + i = 0; + while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) { + event.currentTarget = matched.elem; + + j = 0; + while ( ( handleObj = matched.handlers[ j++ ] ) && + !event.isImmediatePropagationStopped() ) { + + // Triggered event must either 1) have no namespace, or 2) have namespace(s) + // a subset or equal to those in the bound event (both can have no namespace). + if ( !event.rnamespace || event.rnamespace.test( handleObj.namespace ) ) { + + event.handleObj = handleObj; + event.data = handleObj.data; + + ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle || + handleObj.handler ).apply( matched.elem, args ); + + if ( ret !== undefined ) { + if ( ( event.result = ret ) === false ) { + event.preventDefault(); + event.stopPropagation(); + } + } + } + } + } + + // Call the postDispatch hook for the mapped type + if ( special.postDispatch ) { + special.postDispatch.call( this, event ); + } + + return event.result; + }, + + handlers: function( event, handlers ) { + var i, handleObj, sel, matchedHandlers, matchedSelectors, + handlerQueue = [], + delegateCount = handlers.delegateCount, + cur = event.target; + + // Find delegate handlers + if ( delegateCount && + + // Support: IE <=9 + // Black-hole SVG instance trees (trac-13180) + cur.nodeType && + + // Support: Firefox <=42 + // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861) + // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click + // Support: IE 11 only + // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343) + !( event.type === "click" && event.button >= 1 ) ) { + + for ( ; cur !== this; cur = cur.parentNode || this ) { + + // Don't check non-elements (#13208) + // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) + if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) { + matchedHandlers = []; + matchedSelectors = {}; + for ( i = 0; i < delegateCount; i++ ) { + handleObj = handlers[ i ]; + + // Don't conflict with Object.prototype properties (#13203) + sel = handleObj.selector + " "; + + if ( matchedSelectors[ sel ] === undefined ) { + matchedSelectors[ sel ] = handleObj.needsContext ? + jQuery( sel, this ).index( cur ) > -1 : + jQuery.find( sel, this, null, [ cur ] ).length; + } + if ( matchedSelectors[ sel ] ) { + matchedHandlers.push( handleObj ); + } + } + if ( matchedHandlers.length ) { + handlerQueue.push( { elem: cur, handlers: matchedHandlers } ); + } + } + } + } + + // Add the remaining (directly-bound) handlers + cur = this; + if ( delegateCount < handlers.length ) { + handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } ); + } + + return handlerQueue; + }, + + addProp: function( name, hook ) { + Object.defineProperty( jQuery.Event.prototype, name, { + enumerable: true, + configurable: true, + + get: jQuery.isFunction( hook ) ? + function() { + if ( this.originalEvent ) { + return hook( this.originalEvent ); + } + } : + function() { + if ( this.originalEvent ) { + return this.originalEvent[ name ]; + } + }, + + set: function( value ) { + Object.defineProperty( this, name, { + enumerable: true, + configurable: true, + writable: true, + value: value + } ); + } + } ); + }, + + fix: function( originalEvent ) { + return originalEvent[ jQuery.expando ] ? + originalEvent : + new jQuery.Event( originalEvent ); + }, + + special: { + load: { + + // Prevent triggered image.load events from bubbling to window.load + noBubble: true + }, + focus: { + + // Fire native event if possible so blur/focus sequence is correct + trigger: function() { + if ( this !== safeActiveElement() && this.focus ) { + this.focus(); + return false; + } + }, + delegateType: "focusin" + }, + blur: { + trigger: function() { + if ( this === safeActiveElement() && this.blur ) { + this.blur(); + return false; + } + }, + delegateType: "focusout" + }, + click: { + + // For checkbox, fire native event so checked state will be right + trigger: function() { + if ( this.type === "checkbox" && this.click && nodeName( this, "input" ) ) { + this.click(); + return false; + } + }, + + // For cross-browser consistency, don't fire native .click() on links + _default: function( event ) { + return nodeName( event.target, "a" ); + } + }, + + beforeunload: { + postDispatch: function( event ) { + + // Support: Firefox 20+ + // Firefox doesn't alert if the returnValue field is not set. + if ( event.result !== undefined && event.originalEvent ) { + event.originalEvent.returnValue = event.result; + } + } + } + } +}; + +jQuery.removeEvent = function( elem, type, handle ) { + + // This "if" is needed for plain objects + if ( elem.removeEventListener ) { + elem.removeEventListener( type, handle ); + } +}; + +jQuery.Event = function( src, props ) { + + // Allow instantiation without the 'new' keyword + if ( !( this instanceof jQuery.Event ) ) { + return new jQuery.Event( src, props ); + } + + // Event object + if ( src && src.type ) { + this.originalEvent = src; + this.type = src.type; + + // Events bubbling up the document may have been marked as prevented + // by a handler lower down the tree; reflect the correct value. + this.isDefaultPrevented = src.defaultPrevented || + src.defaultPrevented === undefined && + + // Support: Android <=2.3 only + src.returnValue === false ? + returnTrue : + returnFalse; + + // Create target properties + // Support: Safari <=6 - 7 only + // Target should not be a text node (#504, #13143) + this.target = ( src.target && src.target.nodeType === 3 ) ? + src.target.parentNode : + src.target; + + this.currentTarget = src.currentTarget; + this.relatedTarget = src.relatedTarget; + + // Event type + } else { + this.type = src; + } + + // Put explicitly provided properties onto the event object + if ( props ) { + jQuery.extend( this, props ); + } + + // Create a timestamp if incoming event doesn't have one + this.timeStamp = src && src.timeStamp || jQuery.now(); + + // Mark it as fixed + this[ jQuery.expando ] = true; +}; + +// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding +// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html +jQuery.Event.prototype = { + constructor: jQuery.Event, + isDefaultPrevented: returnFalse, + isPropagationStopped: returnFalse, + isImmediatePropagationStopped: returnFalse, + isSimulated: false, + + preventDefault: function() { + var e = this.originalEvent; + + this.isDefaultPrevented = returnTrue; + + if ( e && !this.isSimulated ) { + e.preventDefault(); + } + }, + stopPropagation: function() { + var e = this.originalEvent; + + this.isPropagationStopped = returnTrue; + + if ( e && !this.isSimulated ) { + e.stopPropagation(); + } + }, + stopImmediatePropagation: function() { + var e = this.originalEvent; + + this.isImmediatePropagationStopped = returnTrue; + + if ( e && !this.isSimulated ) { + e.stopImmediatePropagation(); + } + + this.stopPropagation(); + } +}; + +// Includes all common event props including KeyEvent and MouseEvent specific props +jQuery.each( { + altKey: true, + bubbles: true, + cancelable: true, + changedTouches: true, + ctrlKey: true, + detail: true, + eventPhase: true, + metaKey: true, + pageX: true, + pageY: true, + shiftKey: true, + view: true, + "char": true, + charCode: true, + key: true, + keyCode: true, + button: true, + buttons: true, + clientX: true, + clientY: true, + offsetX: true, + offsetY: true, + pointerId: true, + pointerType: true, + screenX: true, + screenY: true, + targetTouches: true, + toElement: true, + touches: true, + + which: function( event ) { + var button = event.button; + + // Add which for key events + if ( event.which == null && rkeyEvent.test( event.type ) ) { + return event.charCode != null ? event.charCode : event.keyCode; + } + + // Add which for click: 1 === left; 2 === middle; 3 === right + if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) { + if ( button & 1 ) { + return 1; + } + + if ( button & 2 ) { + return 3; + } + + if ( button & 4 ) { + return 2; + } + + return 0; + } + + return event.which; + } +}, jQuery.event.addProp ); + +// Create mouseenter/leave events using mouseover/out and event-time checks +// so that event delegation works in jQuery. +// Do the same for pointerenter/pointerleave and pointerover/pointerout +// +// Support: Safari 7 only +// Safari sends mouseenter too often; see: +// https://bugs.chromium.org/p/chromium/issues/detail?id=470258 +// for the description of the bug (it existed in older Chrome versions as well). +jQuery.each( { + mouseenter: "mouseover", + mouseleave: "mouseout", + pointerenter: "pointerover", + pointerleave: "pointerout" +}, function( orig, fix ) { + jQuery.event.special[ orig ] = { + delegateType: fix, + bindType: fix, + + handle: function( event ) { + var ret, + target = this, + related = event.relatedTarget, + handleObj = event.handleObj; + + // For mouseenter/leave call the handler if related is outside the target. + // NB: No relatedTarget if the mouse left/entered the browser window + if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) { + event.type = handleObj.origType; + ret = handleObj.handler.apply( this, arguments ); + event.type = fix; + } + return ret; + } + }; +} ); + +jQuery.fn.extend( { + + on: function( types, selector, data, fn ) { + return on( this, types, selector, data, fn ); + }, + one: function( types, selector, data, fn ) { + return on( this, types, selector, data, fn, 1 ); + }, + off: function( types, selector, fn ) { + var handleObj, type; + if ( types && types.preventDefault && types.handleObj ) { + + // ( event ) dispatched jQuery.Event + handleObj = types.handleObj; + jQuery( types.delegateTarget ).off( + handleObj.namespace ? + handleObj.origType + "." + handleObj.namespace : + handleObj.origType, + handleObj.selector, + handleObj.handler + ); + return this; + } + if ( typeof types === "object" ) { + + // ( types-object [, selector] ) + for ( type in types ) { + this.off( type, selector, types[ type ] ); + } + return this; + } + if ( selector === false || typeof selector === "function" ) { + + // ( types [, fn] ) + fn = selector; + selector = undefined; + } + if ( fn === false ) { + fn = returnFalse; + } + return this.each( function() { + jQuery.event.remove( this, types, fn, selector ); + } ); + } +} ); + + +var + + /* eslint-disable max-len */ + + // See https://github.com/eslint/eslint/issues/3229 + rxhtmlTag = /<(?!area|br|col|embed|hr|img|input|link|meta|param)(([a-z][^\/\0>\x20\t\r\n\f]*)[^>]*)\/>/gi, + + /* eslint-enable */ + + // Support: IE <=10 - 11, Edge 12 - 13 + // In IE/Edge using regex groups here causes severe slowdowns. + // See https://connect.microsoft.com/IE/feedback/details/1736512/ + rnoInnerhtml = /\s*$/g; + +// Prefer a tbody over its parent table for containing new rows +function manipulationTarget( elem, content ) { + if ( nodeName( elem, "table" ) && + nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { + + return jQuery( ">tbody", elem )[ 0 ] || elem; + } + + return elem; +} + +// Replace/restore the type attribute of script elements for safe DOM manipulation +function disableScript( elem ) { + elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type; + return elem; +} +function restoreScript( elem ) { + var match = rscriptTypeMasked.exec( elem.type ); + + if ( match ) { + elem.type = match[ 1 ]; + } else { + elem.removeAttribute( "type" ); + } + + return elem; +} + +function cloneCopyEvent( src, dest ) { + var i, l, type, pdataOld, pdataCur, udataOld, udataCur, events; + + if ( dest.nodeType !== 1 ) { + return; + } + + // 1. Copy private data: events, handlers, etc. + if ( dataPriv.hasData( src ) ) { + pdataOld = dataPriv.access( src ); + pdataCur = dataPriv.set( dest, pdataOld ); + events = pdataOld.events; + + if ( events ) { + delete pdataCur.handle; + pdataCur.events = {}; + + for ( type in events ) { + for ( i = 0, l = events[ type ].length; i < l; i++ ) { + jQuery.event.add( dest, type, events[ type ][ i ] ); + } + } + } + } + + // 2. Copy user data + if ( dataUser.hasData( src ) ) { + udataOld = dataUser.access( src ); + udataCur = jQuery.extend( {}, udataOld ); + + dataUser.set( dest, udataCur ); + } +} + +// Fix IE bugs, see support tests +function fixInput( src, dest ) { + var nodeName = dest.nodeName.toLowerCase(); + + // Fails to persist the checked state of a cloned checkbox or radio button. + if ( nodeName === "input" && rcheckableType.test( src.type ) ) { + dest.checked = src.checked; + + // Fails to return the selected option to the default selected state when cloning options + } else if ( nodeName === "input" || nodeName === "textarea" ) { + dest.defaultValue = src.defaultValue; + } +} + +function domManip( collection, args, callback, ignored ) { + + // Flatten any nested arrays + args = concat.apply( [], args ); + + var fragment, first, scripts, hasScripts, node, doc, + i = 0, + l = collection.length, + iNoClone = l - 1, + value = args[ 0 ], + isFunction = jQuery.isFunction( value ); + + // We can't cloneNode fragments that contain checked, in WebKit + if ( isFunction || + ( l > 1 && typeof value === "string" && + !support.checkClone && rchecked.test( value ) ) ) { + return collection.each( function( index ) { + var self = collection.eq( index ); + if ( isFunction ) { + args[ 0 ] = value.call( this, index, self.html() ); + } + domManip( self, args, callback, ignored ); + } ); + } + + if ( l ) { + fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored ); + first = fragment.firstChild; + + if ( fragment.childNodes.length === 1 ) { + fragment = first; + } + + // Require either new content or an interest in ignored elements to invoke the callback + if ( first || ignored ) { + scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); + hasScripts = scripts.length; + + // Use the original fragment for the last item + // instead of the first because it can end up + // being emptied incorrectly in certain situations (#8070). + for ( ; i < l; i++ ) { + node = fragment; + + if ( i !== iNoClone ) { + node = jQuery.clone( node, true, true ); + + // Keep references to cloned scripts for later restoration + if ( hasScripts ) { + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( scripts, getAll( node, "script" ) ); + } + } + + callback.call( collection[ i ], node, i ); + } + + if ( hasScripts ) { + doc = scripts[ scripts.length - 1 ].ownerDocument; + + // Reenable scripts + jQuery.map( scripts, restoreScript ); + + // Evaluate executable scripts on first document insertion + for ( i = 0; i < hasScripts; i++ ) { + node = scripts[ i ]; + if ( rscriptType.test( node.type || "" ) && + !dataPriv.access( node, "globalEval" ) && + jQuery.contains( doc, node ) ) { + + if ( node.src ) { + + // Optional AJAX dependency, but won't run scripts if not present + if ( jQuery._evalUrl ) { + jQuery._evalUrl( node.src ); + } + } else { + DOMEval( node.textContent.replace( rcleanScript, "" ), doc ); + } + } + } + } + } + } + + return collection; +} + +function remove( elem, selector, keepData ) { + var node, + nodes = selector ? jQuery.filter( selector, elem ) : elem, + i = 0; + + for ( ; ( node = nodes[ i ] ) != null; i++ ) { + if ( !keepData && node.nodeType === 1 ) { + jQuery.cleanData( getAll( node ) ); + } + + if ( node.parentNode ) { + if ( keepData && jQuery.contains( node.ownerDocument, node ) ) { + setGlobalEval( getAll( node, "script" ) ); + } + node.parentNode.removeChild( node ); + } + } + + return elem; +} + +jQuery.extend( { + htmlPrefilter: function( html ) { + return html.replace( rxhtmlTag, "<$1>" ); + }, + + clone: function( elem, dataAndEvents, deepDataAndEvents ) { + var i, l, srcElements, destElements, + clone = elem.cloneNode( true ), + inPage = jQuery.contains( elem.ownerDocument, elem ); + + // Fix IE cloning issues + if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && + !jQuery.isXMLDoc( elem ) ) { + + // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2 + destElements = getAll( clone ); + srcElements = getAll( elem ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + fixInput( srcElements[ i ], destElements[ i ] ); + } + } + + // Copy the events from the original to the clone + if ( dataAndEvents ) { + if ( deepDataAndEvents ) { + srcElements = srcElements || getAll( elem ); + destElements = destElements || getAll( clone ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + cloneCopyEvent( srcElements[ i ], destElements[ i ] ); + } + } else { + cloneCopyEvent( elem, clone ); + } + } + + // Preserve script evaluation history + destElements = getAll( clone, "script" ); + if ( destElements.length > 0 ) { + setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); + } + + // Return the cloned set + return clone; + }, + + cleanData: function( elems ) { + var data, elem, type, + special = jQuery.event.special, + i = 0; + + for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) { + if ( acceptData( elem ) ) { + if ( ( data = elem[ dataPriv.expando ] ) ) { + if ( data.events ) { + for ( type in data.events ) { + if ( special[ type ] ) { + jQuery.event.remove( elem, type ); + + // This is a shortcut to avoid jQuery.event.remove's overhead + } else { + jQuery.removeEvent( elem, type, data.handle ); + } + } + } + + // Support: Chrome <=35 - 45+ + // Assign undefined instead of using delete, see Data#remove + elem[ dataPriv.expando ] = undefined; + } + if ( elem[ dataUser.expando ] ) { + + // Support: Chrome <=35 - 45+ + // Assign undefined instead of using delete, see Data#remove + elem[ dataUser.expando ] = undefined; + } + } + } + } +} ); + +jQuery.fn.extend( { + detach: function( selector ) { + return remove( this, selector, true ); + }, + + remove: function( selector ) { + return remove( this, selector ); + }, + + text: function( value ) { + return access( this, function( value ) { + return value === undefined ? + jQuery.text( this ) : + this.empty().each( function() { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + this.textContent = value; + } + } ); + }, null, value, arguments.length ); + }, + + append: function() { + return domManip( this, arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.appendChild( elem ); + } + } ); + }, + + prepend: function() { + return domManip( this, arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.insertBefore( elem, target.firstChild ); + } + } ); + }, + + before: function() { + return domManip( this, arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this ); + } + } ); + }, + + after: function() { + return domManip( this, arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this.nextSibling ); + } + } ); + }, + + empty: function() { + var elem, + i = 0; + + for ( ; ( elem = this[ i ] ) != null; i++ ) { + if ( elem.nodeType === 1 ) { + + // Prevent memory leaks + jQuery.cleanData( getAll( elem, false ) ); + + // Remove any remaining nodes + elem.textContent = ""; + } + } + + return this; + }, + + clone: function( dataAndEvents, deepDataAndEvents ) { + dataAndEvents = dataAndEvents == null ? false : dataAndEvents; + deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; + + return this.map( function() { + return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); + } ); + }, + + html: function( value ) { + return access( this, function( value ) { + var elem = this[ 0 ] || {}, + i = 0, + l = this.length; + + if ( value === undefined && elem.nodeType === 1 ) { + return elem.innerHTML; + } + + // See if we can take a shortcut and just use innerHTML + if ( typeof value === "string" && !rnoInnerhtml.test( value ) && + !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { + + value = jQuery.htmlPrefilter( value ); + + try { + for ( ; i < l; i++ ) { + elem = this[ i ] || {}; + + // Remove element nodes and prevent memory leaks + if ( elem.nodeType === 1 ) { + jQuery.cleanData( getAll( elem, false ) ); + elem.innerHTML = value; + } + } + + elem = 0; + + // If using innerHTML throws an exception, use the fallback method + } catch ( e ) {} + } + + if ( elem ) { + this.empty().append( value ); + } + }, null, value, arguments.length ); + }, + + replaceWith: function() { + var ignored = []; + + // Make the changes, replacing each non-ignored context element with the new content + return domManip( this, arguments, function( elem ) { + var parent = this.parentNode; + + if ( jQuery.inArray( this, ignored ) < 0 ) { + jQuery.cleanData( getAll( this ) ); + if ( parent ) { + parent.replaceChild( elem, this ); + } + } + + // Force callback invocation + }, ignored ); + } +} ); + +jQuery.each( { + appendTo: "append", + prependTo: "prepend", + insertBefore: "before", + insertAfter: "after", + replaceAll: "replaceWith" +}, function( name, original ) { + jQuery.fn[ name ] = function( selector ) { + var elems, + ret = [], + insert = jQuery( selector ), + last = insert.length - 1, + i = 0; + + for ( ; i <= last; i++ ) { + elems = i === last ? this : this.clone( true ); + jQuery( insert[ i ] )[ original ]( elems ); + + // Support: Android <=4.0 only, PhantomJS 1 only + // .get() because push.apply(_, arraylike) throws on ancient WebKit + push.apply( ret, elems.get() ); + } + + return this.pushStack( ret ); + }; +} ); +var rmargin = ( /^margin/ ); + +var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); + +var getStyles = function( elem ) { + + // Support: IE <=11 only, Firefox <=30 (#15098, #14150) + // IE throws on elements created in popups + // FF meanwhile throws on frame elements through "defaultView.getComputedStyle" + var view = elem.ownerDocument.defaultView; + + if ( !view || !view.opener ) { + view = window; + } + + return view.getComputedStyle( elem ); + }; + + + +( function() { + + // Executing both pixelPosition & boxSizingReliable tests require only one layout + // so they're executed at the same time to save the second computation. + function computeStyleTests() { + + // This is a singleton, we need to execute it only once + if ( !div ) { + return; + } + + div.style.cssText = + "box-sizing:border-box;" + + "position:relative;display:block;" + + "margin:auto;border:1px;padding:1px;" + + "top:1%;width:50%"; + div.innerHTML = ""; + documentElement.appendChild( container ); + + var divStyle = window.getComputedStyle( div ); + pixelPositionVal = divStyle.top !== "1%"; + + // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 + reliableMarginLeftVal = divStyle.marginLeft === "2px"; + boxSizingReliableVal = divStyle.width === "4px"; + + // Support: Android 4.0 - 4.3 only + // Some styles come back with percentage values, even though they shouldn't + div.style.marginRight = "50%"; + pixelMarginRightVal = divStyle.marginRight === "4px"; + + documentElement.removeChild( container ); + + // Nullify the div so it wouldn't be stored in the memory and + // it will also be a sign that checks already performed + div = null; + } + + var pixelPositionVal, boxSizingReliableVal, pixelMarginRightVal, reliableMarginLeftVal, + container = document.createElement( "div" ), + div = document.createElement( "div" ); + + // Finish early in limited (non-browser) environments + if ( !div.style ) { + return; + } + + // Support: IE <=9 - 11 only + // Style of cloned element affects source element cloned (#8908) + div.style.backgroundClip = "content-box"; + div.cloneNode( true ).style.backgroundClip = ""; + support.clearCloneStyle = div.style.backgroundClip === "content-box"; + + container.style.cssText = "border:0;width:8px;height:0;top:0;left:-9999px;" + + "padding:0;margin-top:1px;position:absolute"; + container.appendChild( div ); + + jQuery.extend( support, { + pixelPosition: function() { + computeStyleTests(); + return pixelPositionVal; + }, + boxSizingReliable: function() { + computeStyleTests(); + return boxSizingReliableVal; + }, + pixelMarginRight: function() { + computeStyleTests(); + return pixelMarginRightVal; + }, + reliableMarginLeft: function() { + computeStyleTests(); + return reliableMarginLeftVal; + } + } ); +} )(); + + +function curCSS( elem, name, computed ) { + var width, minWidth, maxWidth, ret, + + // Support: Firefox 51+ + // Retrieving style before computed somehow + // fixes an issue with getting wrong values + // on detached elements + style = elem.style; + + computed = computed || getStyles( elem ); + + // getPropertyValue is needed for: + // .css('filter') (IE 9 only, #12537) + // .css('--customProperty) (#3144) + if ( computed ) { + ret = computed.getPropertyValue( name ) || computed[ name ]; + + if ( ret === "" && !jQuery.contains( elem.ownerDocument, elem ) ) { + ret = jQuery.style( elem, name ); + } + + // A tribute to the "awesome hack by Dean Edwards" + // Android Browser returns percentage for some values, + // but width seems to be reliably pixels. + // This is against the CSSOM draft spec: + // https://drafts.csswg.org/cssom/#resolved-values + if ( !support.pixelMarginRight() && rnumnonpx.test( ret ) && rmargin.test( name ) ) { + + // Remember the original values + width = style.width; + minWidth = style.minWidth; + maxWidth = style.maxWidth; + + // Put in the new values to get a computed value out + style.minWidth = style.maxWidth = style.width = ret; + ret = computed.width; + + // Revert the changed values + style.width = width; + style.minWidth = minWidth; + style.maxWidth = maxWidth; + } + } + + return ret !== undefined ? + + // Support: IE <=9 - 11 only + // IE returns zIndex value as an integer. + ret + "" : + ret; +} + + +function addGetHookIf( conditionFn, hookFn ) { + + // Define the hook, we'll check on the first run if it's really needed. + return { + get: function() { + if ( conditionFn() ) { + + // Hook not needed (or it's not possible to use it due + // to missing dependency), remove it. + delete this.get; + return; + } + + // Hook needed; redefine it so that the support test is not executed again. + return ( this.get = hookFn ).apply( this, arguments ); + } + }; +} + + +var + + // Swappable if display is none or starts with table + // except "table", "table-cell", or "table-caption" + // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display + rdisplayswap = /^(none|table(?!-c[ea]).+)/, + rcustomProp = /^--/, + cssShow = { position: "absolute", visibility: "hidden", display: "block" }, + cssNormalTransform = { + letterSpacing: "0", + fontWeight: "400" + }, + + cssPrefixes = [ "Webkit", "Moz", "ms" ], + emptyStyle = document.createElement( "div" ).style; + +// Return a css property mapped to a potentially vendor prefixed property +function vendorPropName( name ) { + + // Shortcut for names that are not vendor prefixed + if ( name in emptyStyle ) { + return name; + } + + // Check for vendor prefixed names + var capName = name[ 0 ].toUpperCase() + name.slice( 1 ), + i = cssPrefixes.length; + + while ( i-- ) { + name = cssPrefixes[ i ] + capName; + if ( name in emptyStyle ) { + return name; + } + } +} + +// Return a property mapped along what jQuery.cssProps suggests or to +// a vendor prefixed property. +function finalPropName( name ) { + var ret = jQuery.cssProps[ name ]; + if ( !ret ) { + ret = jQuery.cssProps[ name ] = vendorPropName( name ) || name; + } + return ret; +} + +function setPositiveNumber( elem, value, subtract ) { + + // Any relative (+/-) values have already been + // normalized at this point + var matches = rcssNum.exec( value ); + return matches ? + + // Guard against undefined "subtract", e.g., when used as in cssHooks + Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) : + value; +} + +function augmentWidthOrHeight( elem, name, extra, isBorderBox, styles ) { + var i, + val = 0; + + // If we already have the right measurement, avoid augmentation + if ( extra === ( isBorderBox ? "border" : "content" ) ) { + i = 4; + + // Otherwise initialize for horizontal or vertical properties + } else { + i = name === "width" ? 1 : 0; + } + + for ( ; i < 4; i += 2 ) { + + // Both box models exclude margin, so add it if we want it + if ( extra === "margin" ) { + val += jQuery.css( elem, extra + cssExpand[ i ], true, styles ); + } + + if ( isBorderBox ) { + + // border-box includes padding, so remove it if we want content + if ( extra === "content" ) { + val -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + } + + // At this point, extra isn't border nor margin, so remove border + if ( extra !== "margin" ) { + val -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + } else { + + // At this point, extra isn't content, so add padding + val += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + + // At this point, extra isn't content nor padding, so add border + if ( extra !== "padding" ) { + val += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + } + } + + return val; +} + +function getWidthOrHeight( elem, name, extra ) { + + // Start with computed style + var valueIsBorderBox, + styles = getStyles( elem ), + val = curCSS( elem, name, styles ), + isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; + + // Computed unit is not pixels. Stop here and return. + if ( rnumnonpx.test( val ) ) { + return val; + } + + // Check for style in case a browser which returns unreliable values + // for getComputedStyle silently falls back to the reliable elem.style + valueIsBorderBox = isBorderBox && + ( support.boxSizingReliable() || val === elem.style[ name ] ); + + // Fall back to offsetWidth/Height when value is "auto" + // This happens for inline elements with no explicit setting (gh-3571) + if ( val === "auto" ) { + val = elem[ "offset" + name[ 0 ].toUpperCase() + name.slice( 1 ) ]; + } + + // Normalize "", auto, and prepare for extra + val = parseFloat( val ) || 0; + + // Use the active box-sizing model to add/subtract irrelevant styles + return ( val + + augmentWidthOrHeight( + elem, + name, + extra || ( isBorderBox ? "border" : "content" ), + valueIsBorderBox, + styles + ) + ) + "px"; +} + +jQuery.extend( { + + // Add in style property hooks for overriding the default + // behavior of getting and setting a style property + cssHooks: { + opacity: { + get: function( elem, computed ) { + if ( computed ) { + + // We should always get a number back from opacity + var ret = curCSS( elem, "opacity" ); + return ret === "" ? "1" : ret; + } + } + } + }, + + // Don't automatically add "px" to these possibly-unitless properties + cssNumber: { + "animationIterationCount": true, + "columnCount": true, + "fillOpacity": true, + "flexGrow": true, + "flexShrink": true, + "fontWeight": true, + "lineHeight": true, + "opacity": true, + "order": true, + "orphans": true, + "widows": true, + "zIndex": true, + "zoom": true + }, + + // Add in properties whose names you wish to fix before + // setting or getting the value + cssProps: { + "float": "cssFloat" + }, + + // Get and set the style property on a DOM Node + style: function( elem, name, value, extra ) { + + // Don't set styles on text and comment nodes + if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { + return; + } + + // Make sure that we're working with the right name + var ret, type, hooks, + origName = jQuery.camelCase( name ), + isCustomProp = rcustomProp.test( name ), + style = elem.style; + + // Make sure that we're working with the right name. We don't + // want to query the value if it is a CSS custom property + // since they are user-defined. + if ( !isCustomProp ) { + name = finalPropName( origName ); + } + + // Gets hook for the prefixed version, then unprefixed version + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // Check if we're setting a value + if ( value !== undefined ) { + type = typeof value; + + // Convert "+=" or "-=" to relative numbers (#7345) + if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) { + value = adjustCSS( elem, name, ret ); + + // Fixes bug #9237 + type = "number"; + } + + // Make sure that null and NaN values aren't set (#7116) + if ( value == null || value !== value ) { + return; + } + + // If a number was passed in, add the unit (except for certain CSS properties) + if ( type === "number" ) { + value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" ); + } + + // background-* props affect original clone's values + if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) { + style[ name ] = "inherit"; + } + + // If a hook was provided, use that value, otherwise just set the specified value + if ( !hooks || !( "set" in hooks ) || + ( value = hooks.set( elem, value, extra ) ) !== undefined ) { + + if ( isCustomProp ) { + style.setProperty( name, value ); + } else { + style[ name ] = value; + } + } + + } else { + + // If a hook was provided get the non-computed value from there + if ( hooks && "get" in hooks && + ( ret = hooks.get( elem, false, extra ) ) !== undefined ) { + + return ret; + } + + // Otherwise just get the value from the style object + return style[ name ]; + } + }, + + css: function( elem, name, extra, styles ) { + var val, num, hooks, + origName = jQuery.camelCase( name ), + isCustomProp = rcustomProp.test( name ); + + // Make sure that we're working with the right name. We don't + // want to modify the value if it is a CSS custom property + // since they are user-defined. + if ( !isCustomProp ) { + name = finalPropName( origName ); + } + + // Try prefixed name followed by the unprefixed name + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // If a hook was provided get the computed value from there + if ( hooks && "get" in hooks ) { + val = hooks.get( elem, true, extra ); + } + + // Otherwise, if a way to get the computed value exists, use that + if ( val === undefined ) { + val = curCSS( elem, name, styles ); + } + + // Convert "normal" to computed value + if ( val === "normal" && name in cssNormalTransform ) { + val = cssNormalTransform[ name ]; + } + + // Make numeric if forced or a qualifier was provided and val looks numeric + if ( extra === "" || extra ) { + num = parseFloat( val ); + return extra === true || isFinite( num ) ? num || 0 : val; + } + + return val; + } +} ); + +jQuery.each( [ "height", "width" ], function( i, name ) { + jQuery.cssHooks[ name ] = { + get: function( elem, computed, extra ) { + if ( computed ) { + + // Certain elements can have dimension info if we invisibly show them + // but it must have a current display style that would benefit + return rdisplayswap.test( jQuery.css( elem, "display" ) ) && + + // Support: Safari 8+ + // Table columns in Safari have non-zero offsetWidth & zero + // getBoundingClientRect().width unless display is changed. + // Support: IE <=11 only + // Running getBoundingClientRect on a disconnected node + // in IE throws an error. + ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? + swap( elem, cssShow, function() { + return getWidthOrHeight( elem, name, extra ); + } ) : + getWidthOrHeight( elem, name, extra ); + } + }, + + set: function( elem, value, extra ) { + var matches, + styles = extra && getStyles( elem ), + subtract = extra && augmentWidthOrHeight( + elem, + name, + extra, + jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + styles + ); + + // Convert to pixels if value adjustment is needed + if ( subtract && ( matches = rcssNum.exec( value ) ) && + ( matches[ 3 ] || "px" ) !== "px" ) { + + elem.style[ name ] = value; + value = jQuery.css( elem, name ); + } + + return setPositiveNumber( elem, value, subtract ); + } + }; +} ); + +jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft, + function( elem, computed ) { + if ( computed ) { + return ( parseFloat( curCSS( elem, "marginLeft" ) ) || + elem.getBoundingClientRect().left - + swap( elem, { marginLeft: 0 }, function() { + return elem.getBoundingClientRect().left; + } ) + ) + "px"; + } + } +); + +// These hooks are used by animate to expand properties +jQuery.each( { + margin: "", + padding: "", + border: "Width" +}, function( prefix, suffix ) { + jQuery.cssHooks[ prefix + suffix ] = { + expand: function( value ) { + var i = 0, + expanded = {}, + + // Assumes a single number if not a string + parts = typeof value === "string" ? value.split( " " ) : [ value ]; + + for ( ; i < 4; i++ ) { + expanded[ prefix + cssExpand[ i ] + suffix ] = + parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; + } + + return expanded; + } + }; + + if ( !rmargin.test( prefix ) ) { + jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; + } +} ); + +jQuery.fn.extend( { + css: function( name, value ) { + return access( this, function( elem, name, value ) { + var styles, len, + map = {}, + i = 0; + + if ( Array.isArray( name ) ) { + styles = getStyles( elem ); + len = name.length; + + for ( ; i < len; i++ ) { + map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); + } + + return map; + } + + return value !== undefined ? + jQuery.style( elem, name, value ) : + jQuery.css( elem, name ); + }, name, value, arguments.length > 1 ); + } +} ); + + +function Tween( elem, options, prop, end, easing ) { + return new Tween.prototype.init( elem, options, prop, end, easing ); +} +jQuery.Tween = Tween; + +Tween.prototype = { + constructor: Tween, + init: function( elem, options, prop, end, easing, unit ) { + this.elem = elem; + this.prop = prop; + this.easing = easing || jQuery.easing._default; + this.options = options; + this.start = this.now = this.cur(); + this.end = end; + this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); + }, + cur: function() { + var hooks = Tween.propHooks[ this.prop ]; + + return hooks && hooks.get ? + hooks.get( this ) : + Tween.propHooks._default.get( this ); + }, + run: function( percent ) { + var eased, + hooks = Tween.propHooks[ this.prop ]; + + if ( this.options.duration ) { + this.pos = eased = jQuery.easing[ this.easing ]( + percent, this.options.duration * percent, 0, 1, this.options.duration + ); + } else { + this.pos = eased = percent; + } + this.now = ( this.end - this.start ) * eased + this.start; + + if ( this.options.step ) { + this.options.step.call( this.elem, this.now, this ); + } + + if ( hooks && hooks.set ) { + hooks.set( this ); + } else { + Tween.propHooks._default.set( this ); + } + return this; + } +}; + +Tween.prototype.init.prototype = Tween.prototype; + +Tween.propHooks = { + _default: { + get: function( tween ) { + var result; + + // Use a property on the element directly when it is not a DOM element, + // or when there is no matching style property that exists. + if ( tween.elem.nodeType !== 1 || + tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) { + return tween.elem[ tween.prop ]; + } + + // Passing an empty string as a 3rd parameter to .css will automatically + // attempt a parseFloat and fallback to a string if the parse fails. + // Simple values such as "10px" are parsed to Float; + // complex values such as "rotate(1rad)" are returned as-is. + result = jQuery.css( tween.elem, tween.prop, "" ); + + // Empty strings, null, undefined and "auto" are converted to 0. + return !result || result === "auto" ? 0 : result; + }, + set: function( tween ) { + + // Use step hook for back compat. + // Use cssHook if its there. + // Use .style if available and use plain properties where available. + if ( jQuery.fx.step[ tween.prop ] ) { + jQuery.fx.step[ tween.prop ]( tween ); + } else if ( tween.elem.nodeType === 1 && + ( tween.elem.style[ jQuery.cssProps[ tween.prop ] ] != null || + jQuery.cssHooks[ tween.prop ] ) ) { + jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); + } else { + tween.elem[ tween.prop ] = tween.now; + } + } + } +}; + +// Support: IE <=9 only +// Panic based approach to setting things on disconnected nodes +Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { + set: function( tween ) { + if ( tween.elem.nodeType && tween.elem.parentNode ) { + tween.elem[ tween.prop ] = tween.now; + } + } +}; + +jQuery.easing = { + linear: function( p ) { + return p; + }, + swing: function( p ) { + return 0.5 - Math.cos( p * Math.PI ) / 2; + }, + _default: "swing" +}; + +jQuery.fx = Tween.prototype.init; + +// Back compat <1.8 extension point +jQuery.fx.step = {}; + + + + +var + fxNow, inProgress, + rfxtypes = /^(?:toggle|show|hide)$/, + rrun = /queueHooks$/; + +function schedule() { + if ( inProgress ) { + if ( document.hidden === false && window.requestAnimationFrame ) { + window.requestAnimationFrame( schedule ); + } else { + window.setTimeout( schedule, jQuery.fx.interval ); + } + + jQuery.fx.tick(); + } +} + +// Animations created synchronously will run synchronously +function createFxNow() { + window.setTimeout( function() { + fxNow = undefined; + } ); + return ( fxNow = jQuery.now() ); +} + +// Generate parameters to create a standard animation +function genFx( type, includeWidth ) { + var which, + i = 0, + attrs = { height: type }; + + // If we include width, step value is 1 to do all cssExpand values, + // otherwise step value is 2 to skip over Left and Right + includeWidth = includeWidth ? 1 : 0; + for ( ; i < 4; i += 2 - includeWidth ) { + which = cssExpand[ i ]; + attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; + } + + if ( includeWidth ) { + attrs.opacity = attrs.width = type; + } + + return attrs; +} + +function createTween( value, prop, animation ) { + var tween, + collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ), + index = 0, + length = collection.length; + for ( ; index < length; index++ ) { + if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) { + + // We're done with this property + return tween; + } + } +} + +function defaultPrefilter( elem, props, opts ) { + var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display, + isBox = "width" in props || "height" in props, + anim = this, + orig = {}, + style = elem.style, + hidden = elem.nodeType && isHiddenWithinTree( elem ), + dataShow = dataPriv.get( elem, "fxshow" ); + + // Queue-skipping animations hijack the fx hooks + if ( !opts.queue ) { + hooks = jQuery._queueHooks( elem, "fx" ); + if ( hooks.unqueued == null ) { + hooks.unqueued = 0; + oldfire = hooks.empty.fire; + hooks.empty.fire = function() { + if ( !hooks.unqueued ) { + oldfire(); + } + }; + } + hooks.unqueued++; + + anim.always( function() { + + // Ensure the complete handler is called before this completes + anim.always( function() { + hooks.unqueued--; + if ( !jQuery.queue( elem, "fx" ).length ) { + hooks.empty.fire(); + } + } ); + } ); + } + + // Detect show/hide animations + for ( prop in props ) { + value = props[ prop ]; + if ( rfxtypes.test( value ) ) { + delete props[ prop ]; + toggle = toggle || value === "toggle"; + if ( value === ( hidden ? "hide" : "show" ) ) { + + // Pretend to be hidden if this is a "show" and + // there is still data from a stopped show/hide + if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) { + hidden = true; + + // Ignore all other no-op show/hide data + } else { + continue; + } + } + orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop ); + } + } + + // Bail out if this is a no-op like .hide().hide() + propTween = !jQuery.isEmptyObject( props ); + if ( !propTween && jQuery.isEmptyObject( orig ) ) { + return; + } + + // Restrict "overflow" and "display" styles during box animations + if ( isBox && elem.nodeType === 1 ) { + + // Support: IE <=9 - 11, Edge 12 - 13 + // Record all 3 overflow attributes because IE does not infer the shorthand + // from identically-valued overflowX and overflowY + opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; + + // Identify a display type, preferring old show/hide data over the CSS cascade + restoreDisplay = dataShow && dataShow.display; + if ( restoreDisplay == null ) { + restoreDisplay = dataPriv.get( elem, "display" ); + } + display = jQuery.css( elem, "display" ); + if ( display === "none" ) { + if ( restoreDisplay ) { + display = restoreDisplay; + } else { + + // Get nonempty value(s) by temporarily forcing visibility + showHide( [ elem ], true ); + restoreDisplay = elem.style.display || restoreDisplay; + display = jQuery.css( elem, "display" ); + showHide( [ elem ] ); + } + } + + // Animate inline elements as inline-block + if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) { + if ( jQuery.css( elem, "float" ) === "none" ) { + + // Restore the original display value at the end of pure show/hide animations + if ( !propTween ) { + anim.done( function() { + style.display = restoreDisplay; + } ); + if ( restoreDisplay == null ) { + display = style.display; + restoreDisplay = display === "none" ? "" : display; + } + } + style.display = "inline-block"; + } + } + } + + if ( opts.overflow ) { + style.overflow = "hidden"; + anim.always( function() { + style.overflow = opts.overflow[ 0 ]; + style.overflowX = opts.overflow[ 1 ]; + style.overflowY = opts.overflow[ 2 ]; + } ); + } + + // Implement show/hide animations + propTween = false; + for ( prop in orig ) { + + // General show/hide setup for this element animation + if ( !propTween ) { + if ( dataShow ) { + if ( "hidden" in dataShow ) { + hidden = dataShow.hidden; + } + } else { + dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } ); + } + + // Store hidden/visible for toggle so `.stop().toggle()` "reverses" + if ( toggle ) { + dataShow.hidden = !hidden; + } + + // Show elements before animating them + if ( hidden ) { + showHide( [ elem ], true ); + } + + /* eslint-disable no-loop-func */ + + anim.done( function() { + + /* eslint-enable no-loop-func */ + + // The final step of a "hide" animation is actually hiding the element + if ( !hidden ) { + showHide( [ elem ] ); + } + dataPriv.remove( elem, "fxshow" ); + for ( prop in orig ) { + jQuery.style( elem, prop, orig[ prop ] ); + } + } ); + } + + // Per-property setup + propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim ); + if ( !( prop in dataShow ) ) { + dataShow[ prop ] = propTween.start; + if ( hidden ) { + propTween.end = propTween.start; + propTween.start = 0; + } + } + } +} + +function propFilter( props, specialEasing ) { + var index, name, easing, value, hooks; + + // camelCase, specialEasing and expand cssHook pass + for ( index in props ) { + name = jQuery.camelCase( index ); + easing = specialEasing[ name ]; + value = props[ index ]; + if ( Array.isArray( value ) ) { + easing = value[ 1 ]; + value = props[ index ] = value[ 0 ]; + } + + if ( index !== name ) { + props[ name ] = value; + delete props[ index ]; + } + + hooks = jQuery.cssHooks[ name ]; + if ( hooks && "expand" in hooks ) { + value = hooks.expand( value ); + delete props[ name ]; + + // Not quite $.extend, this won't overwrite existing keys. + // Reusing 'index' because we have the correct "name" + for ( index in value ) { + if ( !( index in props ) ) { + props[ index ] = value[ index ]; + specialEasing[ index ] = easing; + } + } + } else { + specialEasing[ name ] = easing; + } + } +} + +function Animation( elem, properties, options ) { + var result, + stopped, + index = 0, + length = Animation.prefilters.length, + deferred = jQuery.Deferred().always( function() { + + // Don't match elem in the :animated selector + delete tick.elem; + } ), + tick = function() { + if ( stopped ) { + return false; + } + var currentTime = fxNow || createFxNow(), + remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), + + // Support: Android 2.3 only + // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497) + temp = remaining / animation.duration || 0, + percent = 1 - temp, + index = 0, + length = animation.tweens.length; + + for ( ; index < length; index++ ) { + animation.tweens[ index ].run( percent ); + } + + deferred.notifyWith( elem, [ animation, percent, remaining ] ); + + // If there's more to do, yield + if ( percent < 1 && length ) { + return remaining; + } + + // If this was an empty animation, synthesize a final progress notification + if ( !length ) { + deferred.notifyWith( elem, [ animation, 1, 0 ] ); + } + + // Resolve the animation and report its conclusion + deferred.resolveWith( elem, [ animation ] ); + return false; + }, + animation = deferred.promise( { + elem: elem, + props: jQuery.extend( {}, properties ), + opts: jQuery.extend( true, { + specialEasing: {}, + easing: jQuery.easing._default + }, options ), + originalProperties: properties, + originalOptions: options, + startTime: fxNow || createFxNow(), + duration: options.duration, + tweens: [], + createTween: function( prop, end ) { + var tween = jQuery.Tween( elem, animation.opts, prop, end, + animation.opts.specialEasing[ prop ] || animation.opts.easing ); + animation.tweens.push( tween ); + return tween; + }, + stop: function( gotoEnd ) { + var index = 0, + + // If we are going to the end, we want to run all the tweens + // otherwise we skip this part + length = gotoEnd ? animation.tweens.length : 0; + if ( stopped ) { + return this; + } + stopped = true; + for ( ; index < length; index++ ) { + animation.tweens[ index ].run( 1 ); + } + + // Resolve when we played the last frame; otherwise, reject + if ( gotoEnd ) { + deferred.notifyWith( elem, [ animation, 1, 0 ] ); + deferred.resolveWith( elem, [ animation, gotoEnd ] ); + } else { + deferred.rejectWith( elem, [ animation, gotoEnd ] ); + } + return this; + } + } ), + props = animation.props; + + propFilter( props, animation.opts.specialEasing ); + + for ( ; index < length; index++ ) { + result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); + if ( result ) { + if ( jQuery.isFunction( result.stop ) ) { + jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = + jQuery.proxy( result.stop, result ); + } + return result; + } + } + + jQuery.map( props, createTween, animation ); + + if ( jQuery.isFunction( animation.opts.start ) ) { + animation.opts.start.call( elem, animation ); + } + + // Attach callbacks from options + animation + .progress( animation.opts.progress ) + .done( animation.opts.done, animation.opts.complete ) + .fail( animation.opts.fail ) + .always( animation.opts.always ); + + jQuery.fx.timer( + jQuery.extend( tick, { + elem: elem, + anim: animation, + queue: animation.opts.queue + } ) + ); + + return animation; +} + +jQuery.Animation = jQuery.extend( Animation, { + + tweeners: { + "*": [ function( prop, value ) { + var tween = this.createTween( prop, value ); + adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween ); + return tween; + } ] + }, + + tweener: function( props, callback ) { + if ( jQuery.isFunction( props ) ) { + callback = props; + props = [ "*" ]; + } else { + props = props.match( rnothtmlwhite ); + } + + var prop, + index = 0, + length = props.length; + + for ( ; index < length; index++ ) { + prop = props[ index ]; + Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || []; + Animation.tweeners[ prop ].unshift( callback ); + } + }, + + prefilters: [ defaultPrefilter ], + + prefilter: function( callback, prepend ) { + if ( prepend ) { + Animation.prefilters.unshift( callback ); + } else { + Animation.prefilters.push( callback ); + } + } +} ); + +jQuery.speed = function( speed, easing, fn ) { + var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { + complete: fn || !fn && easing || + jQuery.isFunction( speed ) && speed, + duration: speed, + easing: fn && easing || easing && !jQuery.isFunction( easing ) && easing + }; + + // Go to the end state if fx are off + if ( jQuery.fx.off ) { + opt.duration = 0; + + } else { + if ( typeof opt.duration !== "number" ) { + if ( opt.duration in jQuery.fx.speeds ) { + opt.duration = jQuery.fx.speeds[ opt.duration ]; + + } else { + opt.duration = jQuery.fx.speeds._default; + } + } + } + + // Normalize opt.queue - true/undefined/null -> "fx" + if ( opt.queue == null || opt.queue === true ) { + opt.queue = "fx"; + } + + // Queueing + opt.old = opt.complete; + + opt.complete = function() { + if ( jQuery.isFunction( opt.old ) ) { + opt.old.call( this ); + } + + if ( opt.queue ) { + jQuery.dequeue( this, opt.queue ); + } + }; + + return opt; +}; + +jQuery.fn.extend( { + fadeTo: function( speed, to, easing, callback ) { + + // Show any hidden elements after setting opacity to 0 + return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show() + + // Animate to the value specified + .end().animate( { opacity: to }, speed, easing, callback ); + }, + animate: function( prop, speed, easing, callback ) { + var empty = jQuery.isEmptyObject( prop ), + optall = jQuery.speed( speed, easing, callback ), + doAnimation = function() { + + // Operate on a copy of prop so per-property easing won't be lost + var anim = Animation( this, jQuery.extend( {}, prop ), optall ); + + // Empty animations, or finishing resolves immediately + if ( empty || dataPriv.get( this, "finish" ) ) { + anim.stop( true ); + } + }; + doAnimation.finish = doAnimation; + + return empty || optall.queue === false ? + this.each( doAnimation ) : + this.queue( optall.queue, doAnimation ); + }, + stop: function( type, clearQueue, gotoEnd ) { + var stopQueue = function( hooks ) { + var stop = hooks.stop; + delete hooks.stop; + stop( gotoEnd ); + }; + + if ( typeof type !== "string" ) { + gotoEnd = clearQueue; + clearQueue = type; + type = undefined; + } + if ( clearQueue && type !== false ) { + this.queue( type || "fx", [] ); + } + + return this.each( function() { + var dequeue = true, + index = type != null && type + "queueHooks", + timers = jQuery.timers, + data = dataPriv.get( this ); + + if ( index ) { + if ( data[ index ] && data[ index ].stop ) { + stopQueue( data[ index ] ); + } + } else { + for ( index in data ) { + if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { + stopQueue( data[ index ] ); + } + } + } + + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && + ( type == null || timers[ index ].queue === type ) ) { + + timers[ index ].anim.stop( gotoEnd ); + dequeue = false; + timers.splice( index, 1 ); + } + } + + // Start the next in the queue if the last step wasn't forced. + // Timers currently will call their complete callbacks, which + // will dequeue but only if they were gotoEnd. + if ( dequeue || !gotoEnd ) { + jQuery.dequeue( this, type ); + } + } ); + }, + finish: function( type ) { + if ( type !== false ) { + type = type || "fx"; + } + return this.each( function() { + var index, + data = dataPriv.get( this ), + queue = data[ type + "queue" ], + hooks = data[ type + "queueHooks" ], + timers = jQuery.timers, + length = queue ? queue.length : 0; + + // Enable finishing flag on private data + data.finish = true; + + // Empty the queue first + jQuery.queue( this, type, [] ); + + if ( hooks && hooks.stop ) { + hooks.stop.call( this, true ); + } + + // Look for any active animations, and finish them + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && timers[ index ].queue === type ) { + timers[ index ].anim.stop( true ); + timers.splice( index, 1 ); + } + } + + // Look for any animations in the old queue and finish them + for ( index = 0; index < length; index++ ) { + if ( queue[ index ] && queue[ index ].finish ) { + queue[ index ].finish.call( this ); + } + } + + // Turn off finishing flag + delete data.finish; + } ); + } +} ); + +jQuery.each( [ "toggle", "show", "hide" ], function( i, name ) { + var cssFn = jQuery.fn[ name ]; + jQuery.fn[ name ] = function( speed, easing, callback ) { + return speed == null || typeof speed === "boolean" ? + cssFn.apply( this, arguments ) : + this.animate( genFx( name, true ), speed, easing, callback ); + }; +} ); + +// Generate shortcuts for custom animations +jQuery.each( { + slideDown: genFx( "show" ), + slideUp: genFx( "hide" ), + slideToggle: genFx( "toggle" ), + fadeIn: { opacity: "show" }, + fadeOut: { opacity: "hide" }, + fadeToggle: { opacity: "toggle" } +}, function( name, props ) { + jQuery.fn[ name ] = function( speed, easing, callback ) { + return this.animate( props, speed, easing, callback ); + }; +} ); + +jQuery.timers = []; +jQuery.fx.tick = function() { + var timer, + i = 0, + timers = jQuery.timers; + + fxNow = jQuery.now(); + + for ( ; i < timers.length; i++ ) { + timer = timers[ i ]; + + // Run the timer and safely remove it when done (allowing for external removal) + if ( !timer() && timers[ i ] === timer ) { + timers.splice( i--, 1 ); + } + } + + if ( !timers.length ) { + jQuery.fx.stop(); + } + fxNow = undefined; +}; + +jQuery.fx.timer = function( timer ) { + jQuery.timers.push( timer ); + jQuery.fx.start(); +}; + +jQuery.fx.interval = 13; +jQuery.fx.start = function() { + if ( inProgress ) { + return; + } + + inProgress = true; + schedule(); +}; + +jQuery.fx.stop = function() { + inProgress = null; +}; + +jQuery.fx.speeds = { + slow: 600, + fast: 200, + + // Default speed + _default: 400 +}; + + +// Based off of the plugin by Clint Helfers, with permission. +// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/ +jQuery.fn.delay = function( time, type ) { + time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; + type = type || "fx"; + + return this.queue( type, function( next, hooks ) { + var timeout = window.setTimeout( next, time ); + hooks.stop = function() { + window.clearTimeout( timeout ); + }; + } ); +}; + + +( function() { + var input = document.createElement( "input" ), + select = document.createElement( "select" ), + opt = select.appendChild( document.createElement( "option" ) ); + + input.type = "checkbox"; + + // Support: Android <=4.3 only + // Default value for a checkbox should be "on" + support.checkOn = input.value !== ""; + + // Support: IE <=11 only + // Must access selectedIndex to make default options select + support.optSelected = opt.selected; + + // Support: IE <=11 only + // An input loses its value after becoming a radio + input = document.createElement( "input" ); + input.value = "t"; + input.type = "radio"; + support.radioValue = input.value === "t"; +} )(); + + +var boolHook, + attrHandle = jQuery.expr.attrHandle; + +jQuery.fn.extend( { + attr: function( name, value ) { + return access( this, jQuery.attr, name, value, arguments.length > 1 ); + }, + + removeAttr: function( name ) { + return this.each( function() { + jQuery.removeAttr( this, name ); + } ); + } +} ); + +jQuery.extend( { + attr: function( elem, name, value ) { + var ret, hooks, + nType = elem.nodeType; + + // Don't get/set attributes on text, comment and attribute nodes + if ( nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + // Fallback to prop when attributes are not supported + if ( typeof elem.getAttribute === "undefined" ) { + return jQuery.prop( elem, name, value ); + } + + // Attribute hooks are determined by the lowercase version + // Grab necessary hook if one is defined + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + hooks = jQuery.attrHooks[ name.toLowerCase() ] || + ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined ); + } + + if ( value !== undefined ) { + if ( value === null ) { + jQuery.removeAttr( elem, name ); + return; + } + + if ( hooks && "set" in hooks && + ( ret = hooks.set( elem, value, name ) ) !== undefined ) { + return ret; + } + + elem.setAttribute( name, value + "" ); + return value; + } + + if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { + return ret; + } + + ret = jQuery.find.attr( elem, name ); + + // Non-existent attributes return null, we normalize to undefined + return ret == null ? undefined : ret; + }, + + attrHooks: { + type: { + set: function( elem, value ) { + if ( !support.radioValue && value === "radio" && + nodeName( elem, "input" ) ) { + var val = elem.value; + elem.setAttribute( "type", value ); + if ( val ) { + elem.value = val; + } + return value; + } + } + } + }, + + removeAttr: function( elem, value ) { + var name, + i = 0, + + // Attribute names can contain non-HTML whitespace characters + // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2 + attrNames = value && value.match( rnothtmlwhite ); + + if ( attrNames && elem.nodeType === 1 ) { + while ( ( name = attrNames[ i++ ] ) ) { + elem.removeAttribute( name ); + } + } + } +} ); + +// Hooks for boolean attributes +boolHook = { + set: function( elem, value, name ) { + if ( value === false ) { + + // Remove boolean attributes when set to false + jQuery.removeAttr( elem, name ); + } else { + elem.setAttribute( name, name ); + } + return name; + } +}; + +jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( i, name ) { + var getter = attrHandle[ name ] || jQuery.find.attr; + + attrHandle[ name ] = function( elem, name, isXML ) { + var ret, handle, + lowercaseName = name.toLowerCase(); + + if ( !isXML ) { + + // Avoid an infinite loop by temporarily removing this function from the getter + handle = attrHandle[ lowercaseName ]; + attrHandle[ lowercaseName ] = ret; + ret = getter( elem, name, isXML ) != null ? + lowercaseName : + null; + attrHandle[ lowercaseName ] = handle; + } + return ret; + }; +} ); + + + + +var rfocusable = /^(?:input|select|textarea|button)$/i, + rclickable = /^(?:a|area)$/i; + +jQuery.fn.extend( { + prop: function( name, value ) { + return access( this, jQuery.prop, name, value, arguments.length > 1 ); + }, + + removeProp: function( name ) { + return this.each( function() { + delete this[ jQuery.propFix[ name ] || name ]; + } ); + } +} ); + +jQuery.extend( { + prop: function( elem, name, value ) { + var ret, hooks, + nType = elem.nodeType; + + // Don't get/set properties on text, comment and attribute nodes + if ( nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + + // Fix name and attach hooks + name = jQuery.propFix[ name ] || name; + hooks = jQuery.propHooks[ name ]; + } + + if ( value !== undefined ) { + if ( hooks && "set" in hooks && + ( ret = hooks.set( elem, value, name ) ) !== undefined ) { + return ret; + } + + return ( elem[ name ] = value ); + } + + if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { + return ret; + } + + return elem[ name ]; + }, + + propHooks: { + tabIndex: { + get: function( elem ) { + + // Support: IE <=9 - 11 only + // elem.tabIndex doesn't always return the + // correct value when it hasn't been explicitly set + // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/ + // Use proper attribute retrieval(#12072) + var tabindex = jQuery.find.attr( elem, "tabindex" ); + + if ( tabindex ) { + return parseInt( tabindex, 10 ); + } + + if ( + rfocusable.test( elem.nodeName ) || + rclickable.test( elem.nodeName ) && + elem.href + ) { + return 0; + } + + return -1; + } + } + }, + + propFix: { + "for": "htmlFor", + "class": "className" + } +} ); + +// Support: IE <=11 only +// Accessing the selectedIndex property +// forces the browser to respect setting selected +// on the option +// The getter ensures a default option is selected +// when in an optgroup +// eslint rule "no-unused-expressions" is disabled for this code +// since it considers such accessions noop +if ( !support.optSelected ) { + jQuery.propHooks.selected = { + get: function( elem ) { + + /* eslint no-unused-expressions: "off" */ + + var parent = elem.parentNode; + if ( parent && parent.parentNode ) { + parent.parentNode.selectedIndex; + } + return null; + }, + set: function( elem ) { + + /* eslint no-unused-expressions: "off" */ + + var parent = elem.parentNode; + if ( parent ) { + parent.selectedIndex; + + if ( parent.parentNode ) { + parent.parentNode.selectedIndex; + } + } + } + }; +} + +jQuery.each( [ + "tabIndex", + "readOnly", + "maxLength", + "cellSpacing", + "cellPadding", + "rowSpan", + "colSpan", + "useMap", + "frameBorder", + "contentEditable" +], function() { + jQuery.propFix[ this.toLowerCase() ] = this; +} ); + + + + + // Strip and collapse whitespace according to HTML spec + // https://html.spec.whatwg.org/multipage/infrastructure.html#strip-and-collapse-whitespace + function stripAndCollapse( value ) { + var tokens = value.match( rnothtmlwhite ) || []; + return tokens.join( " " ); + } + + +function getClass( elem ) { + return elem.getAttribute && elem.getAttribute( "class" ) || ""; +} + +jQuery.fn.extend( { + addClass: function( value ) { + var classes, elem, cur, curValue, clazz, j, finalValue, + i = 0; + + if ( jQuery.isFunction( value ) ) { + return this.each( function( j ) { + jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); + } ); + } + + if ( typeof value === "string" && value ) { + classes = value.match( rnothtmlwhite ) || []; + + while ( ( elem = this[ i++ ] ) ) { + curValue = getClass( elem ); + cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); + + if ( cur ) { + j = 0; + while ( ( clazz = classes[ j++ ] ) ) { + if ( cur.indexOf( " " + clazz + " " ) < 0 ) { + cur += clazz + " "; + } + } + + // Only assign if different to avoid unneeded rendering. + finalValue = stripAndCollapse( cur ); + if ( curValue !== finalValue ) { + elem.setAttribute( "class", finalValue ); + } + } + } + } + + return this; + }, + + removeClass: function( value ) { + var classes, elem, cur, curValue, clazz, j, finalValue, + i = 0; + + if ( jQuery.isFunction( value ) ) { + return this.each( function( j ) { + jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); + } ); + } + + if ( !arguments.length ) { + return this.attr( "class", "" ); + } + + if ( typeof value === "string" && value ) { + classes = value.match( rnothtmlwhite ) || []; + + while ( ( elem = this[ i++ ] ) ) { + curValue = getClass( elem ); + + // This expression is here for better compressibility (see addClass) + cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); + + if ( cur ) { + j = 0; + while ( ( clazz = classes[ j++ ] ) ) { + + // Remove *all* instances + while ( cur.indexOf( " " + clazz + " " ) > -1 ) { + cur = cur.replace( " " + clazz + " ", " " ); + } + } + + // Only assign if different to avoid unneeded rendering. + finalValue = stripAndCollapse( cur ); + if ( curValue !== finalValue ) { + elem.setAttribute( "class", finalValue ); + } + } + } + } + + return this; + }, + + toggleClass: function( value, stateVal ) { + var type = typeof value; + + if ( typeof stateVal === "boolean" && type === "string" ) { + return stateVal ? this.addClass( value ) : this.removeClass( value ); + } + + if ( jQuery.isFunction( value ) ) { + return this.each( function( i ) { + jQuery( this ).toggleClass( + value.call( this, i, getClass( this ), stateVal ), + stateVal + ); + } ); + } + + return this.each( function() { + var className, i, self, classNames; + + if ( type === "string" ) { + + // Toggle individual class names + i = 0; + self = jQuery( this ); + classNames = value.match( rnothtmlwhite ) || []; + + while ( ( className = classNames[ i++ ] ) ) { + + // Check each className given, space separated list + if ( self.hasClass( className ) ) { + self.removeClass( className ); + } else { + self.addClass( className ); + } + } + + // Toggle whole class name + } else if ( value === undefined || type === "boolean" ) { + className = getClass( this ); + if ( className ) { + + // Store className if set + dataPriv.set( this, "__className__", className ); + } + + // If the element has a class name or if we're passed `false`, + // then remove the whole classname (if there was one, the above saved it). + // Otherwise bring back whatever was previously saved (if anything), + // falling back to the empty string if nothing was stored. + if ( this.setAttribute ) { + this.setAttribute( "class", + className || value === false ? + "" : + dataPriv.get( this, "__className__" ) || "" + ); + } + } + } ); + }, + + hasClass: function( selector ) { + var className, elem, + i = 0; + + className = " " + selector + " "; + while ( ( elem = this[ i++ ] ) ) { + if ( elem.nodeType === 1 && + ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) { + return true; + } + } + + return false; + } +} ); + + + + +var rreturn = /\r/g; + +jQuery.fn.extend( { + val: function( value ) { + var hooks, ret, isFunction, + elem = this[ 0 ]; + + if ( !arguments.length ) { + if ( elem ) { + hooks = jQuery.valHooks[ elem.type ] || + jQuery.valHooks[ elem.nodeName.toLowerCase() ]; + + if ( hooks && + "get" in hooks && + ( ret = hooks.get( elem, "value" ) ) !== undefined + ) { + return ret; + } + + ret = elem.value; + + // Handle most common string cases + if ( typeof ret === "string" ) { + return ret.replace( rreturn, "" ); + } + + // Handle cases where value is null/undef or number + return ret == null ? "" : ret; + } + + return; + } + + isFunction = jQuery.isFunction( value ); + + return this.each( function( i ) { + var val; + + if ( this.nodeType !== 1 ) { + return; + } + + if ( isFunction ) { + val = value.call( this, i, jQuery( this ).val() ); + } else { + val = value; + } + + // Treat null/undefined as ""; convert numbers to string + if ( val == null ) { + val = ""; + + } else if ( typeof val === "number" ) { + val += ""; + + } else if ( Array.isArray( val ) ) { + val = jQuery.map( val, function( value ) { + return value == null ? "" : value + ""; + } ); + } + + hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; + + // If set returns undefined, fall back to normal setting + if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) { + this.value = val; + } + } ); + } +} ); + +jQuery.extend( { + valHooks: { + option: { + get: function( elem ) { + + var val = jQuery.find.attr( elem, "value" ); + return val != null ? + val : + + // Support: IE <=10 - 11 only + // option.text throws exceptions (#14686, #14858) + // Strip and collapse whitespace + // https://html.spec.whatwg.org/#strip-and-collapse-whitespace + stripAndCollapse( jQuery.text( elem ) ); + } + }, + select: { + get: function( elem ) { + var value, option, i, + options = elem.options, + index = elem.selectedIndex, + one = elem.type === "select-one", + values = one ? null : [], + max = one ? index + 1 : options.length; + + if ( index < 0 ) { + i = max; + + } else { + i = one ? index : 0; + } + + // Loop through all the selected options + for ( ; i < max; i++ ) { + option = options[ i ]; + + // Support: IE <=9 only + // IE8-9 doesn't update selected after form reset (#2551) + if ( ( option.selected || i === index ) && + + // Don't return options that are disabled or in a disabled optgroup + !option.disabled && + ( !option.parentNode.disabled || + !nodeName( option.parentNode, "optgroup" ) ) ) { + + // Get the specific value for the option + value = jQuery( option ).val(); + + // We don't need an array for one selects + if ( one ) { + return value; + } + + // Multi-Selects return an array + values.push( value ); + } + } + + return values; + }, + + set: function( elem, value ) { + var optionSet, option, + options = elem.options, + values = jQuery.makeArray( value ), + i = options.length; + + while ( i-- ) { + option = options[ i ]; + + /* eslint-disable no-cond-assign */ + + if ( option.selected = + jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1 + ) { + optionSet = true; + } + + /* eslint-enable no-cond-assign */ + } + + // Force browsers to behave consistently when non-matching value is set + if ( !optionSet ) { + elem.selectedIndex = -1; + } + return values; + } + } + } +} ); + +// Radios and checkboxes getter/setter +jQuery.each( [ "radio", "checkbox" ], function() { + jQuery.valHooks[ this ] = { + set: function( elem, value ) { + if ( Array.isArray( value ) ) { + return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 ); + } + } + }; + if ( !support.checkOn ) { + jQuery.valHooks[ this ].get = function( elem ) { + return elem.getAttribute( "value" ) === null ? "on" : elem.value; + }; + } +} ); + + + + +// Return jQuery for attributes-only inclusion + + +var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/; + +jQuery.extend( jQuery.event, { + + trigger: function( event, data, elem, onlyHandlers ) { + + var i, cur, tmp, bubbleType, ontype, handle, special, + eventPath = [ elem || document ], + type = hasOwn.call( event, "type" ) ? event.type : event, + namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; + + cur = tmp = elem = elem || document; + + // Don't do events on text and comment nodes + if ( elem.nodeType === 3 || elem.nodeType === 8 ) { + return; + } + + // focus/blur morphs to focusin/out; ensure we're not firing them right now + if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { + return; + } + + if ( type.indexOf( "." ) > -1 ) { + + // Namespaced trigger; create a regexp to match event type in handle() + namespaces = type.split( "." ); + type = namespaces.shift(); + namespaces.sort(); + } + ontype = type.indexOf( ":" ) < 0 && "on" + type; + + // Caller can pass in a jQuery.Event object, Object, or just an event type string + event = event[ jQuery.expando ] ? + event : + new jQuery.Event( type, typeof event === "object" && event ); + + // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) + event.isTrigger = onlyHandlers ? 2 : 3; + event.namespace = namespaces.join( "." ); + event.rnamespace = event.namespace ? + new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) : + null; + + // Clean up the event in case it is being reused + event.result = undefined; + if ( !event.target ) { + event.target = elem; + } + + // Clone any incoming data and prepend the event, creating the handler arg list + data = data == null ? + [ event ] : + jQuery.makeArray( data, [ event ] ); + + // Allow special events to draw outside the lines + special = jQuery.event.special[ type ] || {}; + if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { + return; + } + + // Determine event propagation path in advance, per W3C events spec (#9951) + // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) + if ( !onlyHandlers && !special.noBubble && !jQuery.isWindow( elem ) ) { + + bubbleType = special.delegateType || type; + if ( !rfocusMorph.test( bubbleType + type ) ) { + cur = cur.parentNode; + } + for ( ; cur; cur = cur.parentNode ) { + eventPath.push( cur ); + tmp = cur; + } + + // Only add window if we got to document (e.g., not plain obj or detached DOM) + if ( tmp === ( elem.ownerDocument || document ) ) { + eventPath.push( tmp.defaultView || tmp.parentWindow || window ); + } + } + + // Fire handlers on the event path + i = 0; + while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { + + event.type = i > 1 ? + bubbleType : + special.bindType || type; + + // jQuery handler + handle = ( dataPriv.get( cur, "events" ) || {} )[ event.type ] && + dataPriv.get( cur, "handle" ); + if ( handle ) { + handle.apply( cur, data ); + } + + // Native handler + handle = ontype && cur[ ontype ]; + if ( handle && handle.apply && acceptData( cur ) ) { + event.result = handle.apply( cur, data ); + if ( event.result === false ) { + event.preventDefault(); + } + } + } + event.type = type; + + // If nobody prevented the default action, do it now + if ( !onlyHandlers && !event.isDefaultPrevented() ) { + + if ( ( !special._default || + special._default.apply( eventPath.pop(), data ) === false ) && + acceptData( elem ) ) { + + // Call a native DOM method on the target with the same name as the event. + // Don't do default actions on window, that's where global variables be (#6170) + if ( ontype && jQuery.isFunction( elem[ type ] ) && !jQuery.isWindow( elem ) ) { + + // Don't re-trigger an onFOO event when we call its FOO() method + tmp = elem[ ontype ]; + + if ( tmp ) { + elem[ ontype ] = null; + } + + // Prevent re-triggering of the same event, since we already bubbled it above + jQuery.event.triggered = type; + elem[ type ](); + jQuery.event.triggered = undefined; + + if ( tmp ) { + elem[ ontype ] = tmp; + } + } + } + } + + return event.result; + }, + + // Piggyback on a donor event to simulate a different one + // Used only for `focus(in | out)` events + simulate: function( type, elem, event ) { + var e = jQuery.extend( + new jQuery.Event(), + event, + { + type: type, + isSimulated: true + } + ); + + jQuery.event.trigger( e, null, elem ); + } + +} ); + +jQuery.fn.extend( { + + trigger: function( type, data ) { + return this.each( function() { + jQuery.event.trigger( type, data, this ); + } ); + }, + triggerHandler: function( type, data ) { + var elem = this[ 0 ]; + if ( elem ) { + return jQuery.event.trigger( type, data, elem, true ); + } + } +} ); + + +jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " + + "mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " + + "change select submit keydown keypress keyup contextmenu" ).split( " " ), + function( i, name ) { + + // Handle event binding + jQuery.fn[ name ] = function( data, fn ) { + return arguments.length > 0 ? + this.on( name, null, data, fn ) : + this.trigger( name ); + }; +} ); + +jQuery.fn.extend( { + hover: function( fnOver, fnOut ) { + return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver ); + } +} ); + + + + +support.focusin = "onfocusin" in window; + + +// Support: Firefox <=44 +// Firefox doesn't have focus(in | out) events +// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 +// +// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1 +// focus(in | out) events fire after focus & blur events, +// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order +// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857 +if ( !support.focusin ) { + jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) { + + // Attach a single capturing handler on the document while someone wants focusin/focusout + var handler = function( event ) { + jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) ); + }; + + jQuery.event.special[ fix ] = { + setup: function() { + var doc = this.ownerDocument || this, + attaches = dataPriv.access( doc, fix ); + + if ( !attaches ) { + doc.addEventListener( orig, handler, true ); + } + dataPriv.access( doc, fix, ( attaches || 0 ) + 1 ); + }, + teardown: function() { + var doc = this.ownerDocument || this, + attaches = dataPriv.access( doc, fix ) - 1; + + if ( !attaches ) { + doc.removeEventListener( orig, handler, true ); + dataPriv.remove( doc, fix ); + + } else { + dataPriv.access( doc, fix, attaches ); + } + } + }; + } ); +} +var location = window.location; + +var nonce = jQuery.now(); + +var rquery = ( /\?/ ); + + + +// Cross-browser xml parsing +jQuery.parseXML = function( data ) { + var xml; + if ( !data || typeof data !== "string" ) { + return null; + } + + // Support: IE 9 - 11 only + // IE throws on parseFromString with invalid input. + try { + xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" ); + } catch ( e ) { + xml = undefined; + } + + if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) { + jQuery.error( "Invalid XML: " + data ); + } + return xml; +}; + + +var + rbracket = /\[\]$/, + rCRLF = /\r?\n/g, + rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, + rsubmittable = /^(?:input|select|textarea|keygen)/i; + +function buildParams( prefix, obj, traditional, add ) { + var name; + + if ( Array.isArray( obj ) ) { + + // Serialize array item. + jQuery.each( obj, function( i, v ) { + if ( traditional || rbracket.test( prefix ) ) { + + // Treat each array item as a scalar. + add( prefix, v ); + + } else { + + // Item is non-scalar (array or object), encode its numeric index. + buildParams( + prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]", + v, + traditional, + add + ); + } + } ); + + } else if ( !traditional && jQuery.type( obj ) === "object" ) { + + // Serialize object item. + for ( name in obj ) { + buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); + } + + } else { + + // Serialize scalar item. + add( prefix, obj ); + } +} + +// Serialize an array of form elements or a set of +// key/values into a query string +jQuery.param = function( a, traditional ) { + var prefix, + s = [], + add = function( key, valueOrFunction ) { + + // If value is a function, invoke it and use its return value + var value = jQuery.isFunction( valueOrFunction ) ? + valueOrFunction() : + valueOrFunction; + + s[ s.length ] = encodeURIComponent( key ) + "=" + + encodeURIComponent( value == null ? "" : value ); + }; + + // If an array was passed in, assume that it is an array of form elements. + if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { + + // Serialize the form elements + jQuery.each( a, function() { + add( this.name, this.value ); + } ); + + } else { + + // If traditional, encode the "old" way (the way 1.3.2 or older + // did it), otherwise encode params recursively. + for ( prefix in a ) { + buildParams( prefix, a[ prefix ], traditional, add ); + } + } + + // Return the resulting serialization + return s.join( "&" ); +}; + +jQuery.fn.extend( { + serialize: function() { + return jQuery.param( this.serializeArray() ); + }, + serializeArray: function() { + return this.map( function() { + + // Can add propHook for "elements" to filter or add form elements + var elements = jQuery.prop( this, "elements" ); + return elements ? jQuery.makeArray( elements ) : this; + } ) + .filter( function() { + var type = this.type; + + // Use .is( ":disabled" ) so that fieldset[disabled] works + return this.name && !jQuery( this ).is( ":disabled" ) && + rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && + ( this.checked || !rcheckableType.test( type ) ); + } ) + .map( function( i, elem ) { + var val = jQuery( this ).val(); + + if ( val == null ) { + return null; + } + + if ( Array.isArray( val ) ) { + return jQuery.map( val, function( val ) { + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + } ); + } + + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + } ).get(); + } +} ); + + +var + r20 = /%20/g, + rhash = /#.*$/, + rantiCache = /([?&])_=[^&]*/, + rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, + + // #7653, #8125, #8152: local protocol detection + rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, + rnoContent = /^(?:GET|HEAD)$/, + rprotocol = /^\/\//, + + /* Prefilters + * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) + * 2) These are called: + * - BEFORE asking for a transport + * - AFTER param serialization (s.data is a string if s.processData is true) + * 3) key is the dataType + * 4) the catchall symbol "*" can be used + * 5) execution will start with transport dataType and THEN continue down to "*" if needed + */ + prefilters = {}, + + /* Transports bindings + * 1) key is the dataType + * 2) the catchall symbol "*" can be used + * 3) selection will start with transport dataType and THEN go to "*" if needed + */ + transports = {}, + + // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression + allTypes = "*/".concat( "*" ), + + // Anchor tag for parsing the document origin + originAnchor = document.createElement( "a" ); + originAnchor.href = location.href; + +// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport +function addToPrefiltersOrTransports( structure ) { + + // dataTypeExpression is optional and defaults to "*" + return function( dataTypeExpression, func ) { + + if ( typeof dataTypeExpression !== "string" ) { + func = dataTypeExpression; + dataTypeExpression = "*"; + } + + var dataType, + i = 0, + dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; + + if ( jQuery.isFunction( func ) ) { + + // For each dataType in the dataTypeExpression + while ( ( dataType = dataTypes[ i++ ] ) ) { + + // Prepend if requested + if ( dataType[ 0 ] === "+" ) { + dataType = dataType.slice( 1 ) || "*"; + ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func ); + + // Otherwise append + } else { + ( structure[ dataType ] = structure[ dataType ] || [] ).push( func ); + } + } + } + }; +} + +// Base inspection function for prefilters and transports +function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { + + var inspected = {}, + seekingTransport = ( structure === transports ); + + function inspect( dataType ) { + var selected; + inspected[ dataType ] = true; + jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { + var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); + if ( typeof dataTypeOrTransport === "string" && + !seekingTransport && !inspected[ dataTypeOrTransport ] ) { + + options.dataTypes.unshift( dataTypeOrTransport ); + inspect( dataTypeOrTransport ); + return false; + } else if ( seekingTransport ) { + return !( selected = dataTypeOrTransport ); + } + } ); + return selected; + } + + return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); +} + +// A special extend for ajax options +// that takes "flat" options (not to be deep extended) +// Fixes #9887 +function ajaxExtend( target, src ) { + var key, deep, + flatOptions = jQuery.ajaxSettings.flatOptions || {}; + + for ( key in src ) { + if ( src[ key ] !== undefined ) { + ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ]; + } + } + if ( deep ) { + jQuery.extend( true, target, deep ); + } + + return target; +} + +/* Handles responses to an ajax request: + * - finds the right dataType (mediates between content-type and expected dataType) + * - returns the corresponding response + */ +function ajaxHandleResponses( s, jqXHR, responses ) { + + var ct, type, finalDataType, firstDataType, + contents = s.contents, + dataTypes = s.dataTypes; + + // Remove auto dataType and get content-type in the process + while ( dataTypes[ 0 ] === "*" ) { + dataTypes.shift(); + if ( ct === undefined ) { + ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" ); + } + } + + // Check if we're dealing with a known content-type + if ( ct ) { + for ( type in contents ) { + if ( contents[ type ] && contents[ type ].test( ct ) ) { + dataTypes.unshift( type ); + break; + } + } + } + + // Check to see if we have a response for the expected dataType + if ( dataTypes[ 0 ] in responses ) { + finalDataType = dataTypes[ 0 ]; + } else { + + // Try convertible dataTypes + for ( type in responses ) { + if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) { + finalDataType = type; + break; + } + if ( !firstDataType ) { + firstDataType = type; + } + } + + // Or just use first one + finalDataType = finalDataType || firstDataType; + } + + // If we found a dataType + // We add the dataType to the list if needed + // and return the corresponding response + if ( finalDataType ) { + if ( finalDataType !== dataTypes[ 0 ] ) { + dataTypes.unshift( finalDataType ); + } + return responses[ finalDataType ]; + } +} + +/* Chain conversions given the request and the original response + * Also sets the responseXXX fields on the jqXHR instance + */ +function ajaxConvert( s, response, jqXHR, isSuccess ) { + var conv2, current, conv, tmp, prev, + converters = {}, + + // Work with a copy of dataTypes in case we need to modify it for conversion + dataTypes = s.dataTypes.slice(); + + // Create converters map with lowercased keys + if ( dataTypes[ 1 ] ) { + for ( conv in s.converters ) { + converters[ conv.toLowerCase() ] = s.converters[ conv ]; + } + } + + current = dataTypes.shift(); + + // Convert to each sequential dataType + while ( current ) { + + if ( s.responseFields[ current ] ) { + jqXHR[ s.responseFields[ current ] ] = response; + } + + // Apply the dataFilter if provided + if ( !prev && isSuccess && s.dataFilter ) { + response = s.dataFilter( response, s.dataType ); + } + + prev = current; + current = dataTypes.shift(); + + if ( current ) { + + // There's only work to do if current dataType is non-auto + if ( current === "*" ) { + + current = prev; + + // Convert response if prev dataType is non-auto and differs from current + } else if ( prev !== "*" && prev !== current ) { + + // Seek a direct converter + conv = converters[ prev + " " + current ] || converters[ "* " + current ]; + + // If none found, seek a pair + if ( !conv ) { + for ( conv2 in converters ) { + + // If conv2 outputs current + tmp = conv2.split( " " ); + if ( tmp[ 1 ] === current ) { + + // If prev can be converted to accepted input + conv = converters[ prev + " " + tmp[ 0 ] ] || + converters[ "* " + tmp[ 0 ] ]; + if ( conv ) { + + // Condense equivalence converters + if ( conv === true ) { + conv = converters[ conv2 ]; + + // Otherwise, insert the intermediate dataType + } else if ( converters[ conv2 ] !== true ) { + current = tmp[ 0 ]; + dataTypes.unshift( tmp[ 1 ] ); + } + break; + } + } + } + } + + // Apply converter (if not an equivalence) + if ( conv !== true ) { + + // Unless errors are allowed to bubble, catch and return them + if ( conv && s.throws ) { + response = conv( response ); + } else { + try { + response = conv( response ); + } catch ( e ) { + return { + state: "parsererror", + error: conv ? e : "No conversion from " + prev + " to " + current + }; + } + } + } + } + } + } + + return { state: "success", data: response }; +} + +jQuery.extend( { + + // Counter for holding the number of active queries + active: 0, + + // Last-Modified header cache for next request + lastModified: {}, + etag: {}, + + ajaxSettings: { + url: location.href, + type: "GET", + isLocal: rlocalProtocol.test( location.protocol ), + global: true, + processData: true, + async: true, + contentType: "application/x-www-form-urlencoded; charset=UTF-8", + + /* + timeout: 0, + data: null, + dataType: null, + username: null, + password: null, + cache: null, + throws: false, + traditional: false, + headers: {}, + */ + + accepts: { + "*": allTypes, + text: "text/plain", + html: "text/html", + xml: "application/xml, text/xml", + json: "application/json, text/javascript" + }, + + contents: { + xml: /\bxml\b/, + html: /\bhtml/, + json: /\bjson\b/ + }, + + responseFields: { + xml: "responseXML", + text: "responseText", + json: "responseJSON" + }, + + // Data converters + // Keys separate source (or catchall "*") and destination types with a single space + converters: { + + // Convert anything to text + "* text": String, + + // Text to html (true = no transformation) + "text html": true, + + // Evaluate text as a json expression + "text json": JSON.parse, + + // Parse text as xml + "text xml": jQuery.parseXML + }, + + // For options that shouldn't be deep extended: + // you can add your own custom options here if + // and when you create one that shouldn't be + // deep extended (see ajaxExtend) + flatOptions: { + url: true, + context: true + } + }, + + // Creates a full fledged settings object into target + // with both ajaxSettings and settings fields. + // If target is omitted, writes into ajaxSettings. + ajaxSetup: function( target, settings ) { + return settings ? + + // Building a settings object + ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : + + // Extending ajaxSettings + ajaxExtend( jQuery.ajaxSettings, target ); + }, + + ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), + ajaxTransport: addToPrefiltersOrTransports( transports ), + + // Main method + ajax: function( url, options ) { + + // If url is an object, simulate pre-1.5 signature + if ( typeof url === "object" ) { + options = url; + url = undefined; + } + + // Force options to be an object + options = options || {}; + + var transport, + + // URL without anti-cache param + cacheURL, + + // Response headers + responseHeadersString, + responseHeaders, + + // timeout handle + timeoutTimer, + + // Url cleanup var + urlAnchor, + + // Request state (becomes false upon send and true upon completion) + completed, + + // To know if global events are to be dispatched + fireGlobals, + + // Loop variable + i, + + // uncached part of the url + uncached, + + // Create the final options object + s = jQuery.ajaxSetup( {}, options ), + + // Callbacks context + callbackContext = s.context || s, + + // Context for global events is callbackContext if it is a DOM node or jQuery collection + globalEventContext = s.context && + ( callbackContext.nodeType || callbackContext.jquery ) ? + jQuery( callbackContext ) : + jQuery.event, + + // Deferreds + deferred = jQuery.Deferred(), + completeDeferred = jQuery.Callbacks( "once memory" ), + + // Status-dependent callbacks + statusCode = s.statusCode || {}, + + // Headers (they are sent all at once) + requestHeaders = {}, + requestHeadersNames = {}, + + // Default abort message + strAbort = "canceled", + + // Fake xhr + jqXHR = { + readyState: 0, + + // Builds headers hashtable if needed + getResponseHeader: function( key ) { + var match; + if ( completed ) { + if ( !responseHeaders ) { + responseHeaders = {}; + while ( ( match = rheaders.exec( responseHeadersString ) ) ) { + responseHeaders[ match[ 1 ].toLowerCase() ] = match[ 2 ]; + } + } + match = responseHeaders[ key.toLowerCase() ]; + } + return match == null ? null : match; + }, + + // Raw string + getAllResponseHeaders: function() { + return completed ? responseHeadersString : null; + }, + + // Caches the header + setRequestHeader: function( name, value ) { + if ( completed == null ) { + name = requestHeadersNames[ name.toLowerCase() ] = + requestHeadersNames[ name.toLowerCase() ] || name; + requestHeaders[ name ] = value; + } + return this; + }, + + // Overrides response content-type header + overrideMimeType: function( type ) { + if ( completed == null ) { + s.mimeType = type; + } + return this; + }, + + // Status-dependent callbacks + statusCode: function( map ) { + var code; + if ( map ) { + if ( completed ) { + + // Execute the appropriate callbacks + jqXHR.always( map[ jqXHR.status ] ); + } else { + + // Lazy-add the new callbacks in a way that preserves old ones + for ( code in map ) { + statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; + } + } + } + return this; + }, + + // Cancel the request + abort: function( statusText ) { + var finalText = statusText || strAbort; + if ( transport ) { + transport.abort( finalText ); + } + done( 0, finalText ); + return this; + } + }; + + // Attach deferreds + deferred.promise( jqXHR ); + + // Add protocol if not provided (prefilters might expect it) + // Handle falsy url in the settings object (#10093: consistency with old signature) + // We also use the url parameter if available + s.url = ( ( url || s.url || location.href ) + "" ) + .replace( rprotocol, location.protocol + "//" ); + + // Alias method option to type as per ticket #12004 + s.type = options.method || options.type || s.method || s.type; + + // Extract dataTypes list + s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ]; + + // A cross-domain request is in order when the origin doesn't match the current origin. + if ( s.crossDomain == null ) { + urlAnchor = document.createElement( "a" ); + + // Support: IE <=8 - 11, Edge 12 - 13 + // IE throws exception on accessing the href property if url is malformed, + // e.g. http://example.com:80x/ + try { + urlAnchor.href = s.url; + + // Support: IE <=8 - 11 only + // Anchor's host property isn't correctly set when s.url is relative + urlAnchor.href = urlAnchor.href; + s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !== + urlAnchor.protocol + "//" + urlAnchor.host; + } catch ( e ) { + + // If there is an error parsing the URL, assume it is crossDomain, + // it can be rejected by the transport if it is invalid + s.crossDomain = true; + } + } + + // Convert data if not already a string + if ( s.data && s.processData && typeof s.data !== "string" ) { + s.data = jQuery.param( s.data, s.traditional ); + } + + // Apply prefilters + inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); + + // If request was aborted inside a prefilter, stop there + if ( completed ) { + return jqXHR; + } + + // We can fire global events as of now if asked to + // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118) + fireGlobals = jQuery.event && s.global; + + // Watch for a new set of requests + if ( fireGlobals && jQuery.active++ === 0 ) { + jQuery.event.trigger( "ajaxStart" ); + } + + // Uppercase the type + s.type = s.type.toUpperCase(); + + // Determine if request has content + s.hasContent = !rnoContent.test( s.type ); + + // Save the URL in case we're toying with the If-Modified-Since + // and/or If-None-Match header later on + // Remove hash to simplify url manipulation + cacheURL = s.url.replace( rhash, "" ); + + // More options handling for requests with no content + if ( !s.hasContent ) { + + // Remember the hash so we can put it back + uncached = s.url.slice( cacheURL.length ); + + // If data is available, append data to url + if ( s.data ) { + cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; + + // #9682: remove data so that it's not used in an eventual retry + delete s.data; + } + + // Add or update anti-cache param if needed + if ( s.cache === false ) { + cacheURL = cacheURL.replace( rantiCache, "$1" ); + uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce++ ) + uncached; + } + + // Put hash and anti-cache on the URL that will be requested (gh-1732) + s.url = cacheURL + uncached; + + // Change '%20' to '+' if this is encoded form body content (gh-2658) + } else if ( s.data && s.processData && + ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) { + s.data = s.data.replace( r20, "+" ); + } + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + if ( jQuery.lastModified[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); + } + if ( jQuery.etag[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); + } + } + + // Set the correct header, if data is being sent + if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { + jqXHR.setRequestHeader( "Content-Type", s.contentType ); + } + + // Set the Accepts header for the server, depending on the dataType + jqXHR.setRequestHeader( + "Accept", + s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ? + s.accepts[ s.dataTypes[ 0 ] ] + + ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : + s.accepts[ "*" ] + ); + + // Check for headers option + for ( i in s.headers ) { + jqXHR.setRequestHeader( i, s.headers[ i ] ); + } + + // Allow custom headers/mimetypes and early abort + if ( s.beforeSend && + ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) { + + // Abort if not done already and return + return jqXHR.abort(); + } + + // Aborting is no longer a cancellation + strAbort = "abort"; + + // Install callbacks on deferreds + completeDeferred.add( s.complete ); + jqXHR.done( s.success ); + jqXHR.fail( s.error ); + + // Get transport + transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); + + // If no transport, we auto-abort + if ( !transport ) { + done( -1, "No Transport" ); + } else { + jqXHR.readyState = 1; + + // Send global event + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); + } + + // If request was aborted inside ajaxSend, stop there + if ( completed ) { + return jqXHR; + } + + // Timeout + if ( s.async && s.timeout > 0 ) { + timeoutTimer = window.setTimeout( function() { + jqXHR.abort( "timeout" ); + }, s.timeout ); + } + + try { + completed = false; + transport.send( requestHeaders, done ); + } catch ( e ) { + + // Rethrow post-completion exceptions + if ( completed ) { + throw e; + } + + // Propagate others as results + done( -1, e ); + } + } + + // Callback for when everything is done + function done( status, nativeStatusText, responses, headers ) { + var isSuccess, success, error, response, modified, + statusText = nativeStatusText; + + // Ignore repeat invocations + if ( completed ) { + return; + } + + completed = true; + + // Clear timeout if it exists + if ( timeoutTimer ) { + window.clearTimeout( timeoutTimer ); + } + + // Dereference transport for early garbage collection + // (no matter how long the jqXHR object will be used) + transport = undefined; + + // Cache response headers + responseHeadersString = headers || ""; + + // Set readyState + jqXHR.readyState = status > 0 ? 4 : 0; + + // Determine if successful + isSuccess = status >= 200 && status < 300 || status === 304; + + // Get response data + if ( responses ) { + response = ajaxHandleResponses( s, jqXHR, responses ); + } + + // Convert no matter what (that way responseXXX fields are always set) + response = ajaxConvert( s, response, jqXHR, isSuccess ); + + // If successful, handle type chaining + if ( isSuccess ) { + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + modified = jqXHR.getResponseHeader( "Last-Modified" ); + if ( modified ) { + jQuery.lastModified[ cacheURL ] = modified; + } + modified = jqXHR.getResponseHeader( "etag" ); + if ( modified ) { + jQuery.etag[ cacheURL ] = modified; + } + } + + // if no content + if ( status === 204 || s.type === "HEAD" ) { + statusText = "nocontent"; + + // if not modified + } else if ( status === 304 ) { + statusText = "notmodified"; + + // If we have data, let's convert it + } else { + statusText = response.state; + success = response.data; + error = response.error; + isSuccess = !error; + } + } else { + + // Extract error from statusText and normalize for non-aborts + error = statusText; + if ( status || !statusText ) { + statusText = "error"; + if ( status < 0 ) { + status = 0; + } + } + } + + // Set data for the fake xhr object + jqXHR.status = status; + jqXHR.statusText = ( nativeStatusText || statusText ) + ""; + + // Success/Error + if ( isSuccess ) { + deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); + } else { + deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); + } + + // Status-dependent callbacks + jqXHR.statusCode( statusCode ); + statusCode = undefined; + + if ( fireGlobals ) { + globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", + [ jqXHR, s, isSuccess ? success : error ] ); + } + + // Complete + completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); + + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); + + // Handle the global AJAX counter + if ( !( --jQuery.active ) ) { + jQuery.event.trigger( "ajaxStop" ); + } + } + } + + return jqXHR; + }, + + getJSON: function( url, data, callback ) { + return jQuery.get( url, data, callback, "json" ); + }, + + getScript: function( url, callback ) { + return jQuery.get( url, undefined, callback, "script" ); + } +} ); + +jQuery.each( [ "get", "post" ], function( i, method ) { + jQuery[ method ] = function( url, data, callback, type ) { + + // Shift arguments if data argument was omitted + if ( jQuery.isFunction( data ) ) { + type = type || callback; + callback = data; + data = undefined; + } + + // The url can be an options object (which then must have .url) + return jQuery.ajax( jQuery.extend( { + url: url, + type: method, + dataType: type, + data: data, + success: callback + }, jQuery.isPlainObject( url ) && url ) ); + }; +} ); + + +jQuery._evalUrl = function( url ) { + return jQuery.ajax( { + url: url, + + // Make this explicit, since user can override this through ajaxSetup (#11264) + type: "GET", + dataType: "script", + cache: true, + async: false, + global: false, + "throws": true + } ); +}; + + +jQuery.fn.extend( { + wrapAll: function( html ) { + var wrap; + + if ( this[ 0 ] ) { + if ( jQuery.isFunction( html ) ) { + html = html.call( this[ 0 ] ); + } + + // The elements to wrap the target around + wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); + + if ( this[ 0 ].parentNode ) { + wrap.insertBefore( this[ 0 ] ); + } + + wrap.map( function() { + var elem = this; + + while ( elem.firstElementChild ) { + elem = elem.firstElementChild; + } + + return elem; + } ).append( this ); + } + + return this; + }, + + wrapInner: function( html ) { + if ( jQuery.isFunction( html ) ) { + return this.each( function( i ) { + jQuery( this ).wrapInner( html.call( this, i ) ); + } ); + } + + return this.each( function() { + var self = jQuery( this ), + contents = self.contents(); + + if ( contents.length ) { + contents.wrapAll( html ); + + } else { + self.append( html ); + } + } ); + }, + + wrap: function( html ) { + var isFunction = jQuery.isFunction( html ); + + return this.each( function( i ) { + jQuery( this ).wrapAll( isFunction ? html.call( this, i ) : html ); + } ); + }, + + unwrap: function( selector ) { + this.parent( selector ).not( "body" ).each( function() { + jQuery( this ).replaceWith( this.childNodes ); + } ); + return this; + } +} ); + + +jQuery.expr.pseudos.hidden = function( elem ) { + return !jQuery.expr.pseudos.visible( elem ); +}; +jQuery.expr.pseudos.visible = function( elem ) { + return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length ); +}; + + + + +jQuery.ajaxSettings.xhr = function() { + try { + return new window.XMLHttpRequest(); + } catch ( e ) {} +}; + +var xhrSuccessStatus = { + + // File protocol always yields status code 0, assume 200 + 0: 200, + + // Support: IE <=9 only + // #1450: sometimes IE returns 1223 when it should be 204 + 1223: 204 + }, + xhrSupported = jQuery.ajaxSettings.xhr(); + +support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported ); +support.ajax = xhrSupported = !!xhrSupported; + +jQuery.ajaxTransport( function( options ) { + var callback, errorCallback; + + // Cross domain only allowed if supported through XMLHttpRequest + if ( support.cors || xhrSupported && !options.crossDomain ) { + return { + send: function( headers, complete ) { + var i, + xhr = options.xhr(); + + xhr.open( + options.type, + options.url, + options.async, + options.username, + options.password + ); + + // Apply custom fields if provided + if ( options.xhrFields ) { + for ( i in options.xhrFields ) { + xhr[ i ] = options.xhrFields[ i ]; + } + } + + // Override mime type if needed + if ( options.mimeType && xhr.overrideMimeType ) { + xhr.overrideMimeType( options.mimeType ); + } + + // X-Requested-With header + // For cross-domain requests, seeing as conditions for a preflight are + // akin to a jigsaw puzzle, we simply never set it to be sure. + // (it can always be set on a per-request basis or even using ajaxSetup) + // For same-domain requests, won't change header if already provided. + if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) { + headers[ "X-Requested-With" ] = "XMLHttpRequest"; + } + + // Set headers + for ( i in headers ) { + xhr.setRequestHeader( i, headers[ i ] ); + } + + // Callback + callback = function( type ) { + return function() { + if ( callback ) { + callback = errorCallback = xhr.onload = + xhr.onerror = xhr.onabort = xhr.onreadystatechange = null; + + if ( type === "abort" ) { + xhr.abort(); + } else if ( type === "error" ) { + + // Support: IE <=9 only + // On a manual native abort, IE9 throws + // errors on any property access that is not readyState + if ( typeof xhr.status !== "number" ) { + complete( 0, "error" ); + } else { + complete( + + // File: protocol always yields status 0; see #8605, #14207 + xhr.status, + xhr.statusText + ); + } + } else { + complete( + xhrSuccessStatus[ xhr.status ] || xhr.status, + xhr.statusText, + + // Support: IE <=9 only + // IE9 has no XHR2 but throws on binary (trac-11426) + // For XHR2 non-text, let the caller handle it (gh-2498) + ( xhr.responseType || "text" ) !== "text" || + typeof xhr.responseText !== "string" ? + { binary: xhr.response } : + { text: xhr.responseText }, + xhr.getAllResponseHeaders() + ); + } + } + }; + }; + + // Listen to events + xhr.onload = callback(); + errorCallback = xhr.onerror = callback( "error" ); + + // Support: IE 9 only + // Use onreadystatechange to replace onabort + // to handle uncaught aborts + if ( xhr.onabort !== undefined ) { + xhr.onabort = errorCallback; + } else { + xhr.onreadystatechange = function() { + + // Check readyState before timeout as it changes + if ( xhr.readyState === 4 ) { + + // Allow onerror to be called first, + // but that will not handle a native abort + // Also, save errorCallback to a variable + // as xhr.onerror cannot be accessed + window.setTimeout( function() { + if ( callback ) { + errorCallback(); + } + } ); + } + }; + } + + // Create the abort callback + callback = callback( "abort" ); + + try { + + // Do send the request (this may raise an exception) + xhr.send( options.hasContent && options.data || null ); + } catch ( e ) { + + // #14683: Only rethrow if this hasn't been notified as an error yet + if ( callback ) { + throw e; + } + } + }, + + abort: function() { + if ( callback ) { + callback(); + } + } + }; + } +} ); + + + + +// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432) +jQuery.ajaxPrefilter( function( s ) { + if ( s.crossDomain ) { + s.contents.script = false; + } +} ); + +// Install script dataType +jQuery.ajaxSetup( { + accepts: { + script: "text/javascript, application/javascript, " + + "application/ecmascript, application/x-ecmascript" + }, + contents: { + script: /\b(?:java|ecma)script\b/ + }, + converters: { + "text script": function( text ) { + jQuery.globalEval( text ); + return text; + } + } +} ); + +// Handle cache's special case and crossDomain +jQuery.ajaxPrefilter( "script", function( s ) { + if ( s.cache === undefined ) { + s.cache = false; + } + if ( s.crossDomain ) { + s.type = "GET"; + } +} ); + +// Bind script tag hack transport +jQuery.ajaxTransport( "script", function( s ) { + + // This transport only deals with cross domain requests + if ( s.crossDomain ) { + var script, callback; + return { + send: function( _, complete ) { + script = jQuery( " + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + + + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
        + + + + + + \ No newline at end of file diff --git a/docs/html/auto_examples/plot_bar.html b/docs/html/auto_examples/plot_bar.html new file mode 100644 index 0000000..9e3e73b --- /dev/null +++ b/docs/html/auto_examples/plot_bar.html @@ -0,0 +1,136 @@ + + + + + + + Bar Chart — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + +
        +

        Note

        +

        Click here to download the full example code

        +
        +
        +

        Bar Chart

        +

        Makes an example of a bar chart.

        +
        from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
        +
        +
        +

        Data Collection

        +

        This creates a test dataframe to use

        +
        pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],
+        'TTC Pass': [22,16,16],
+        }
+
+transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])
+transit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])
+
+fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')
+
        +
        +../_images/sphx_glr_plot_bar_001.png +

        Total running time of the script: ( 0 minutes 27.838 seconds)

        + +

        Gallery generated by Sphinx-Gallery

        +
        +
        + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
        + + + + + + \ No newline at end of file diff --git a/docs/html/auto_examples/plot_chloropleth.html b/docs/html/auto_examples/plot_chloropleth.html new file mode 100644 index 0000000..09c0831 --- /dev/null +++ b/docs/html/auto_examples/plot_chloropleth.html @@ -0,0 +1,176 @@ + + + + + + + Chloropleth Map — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + +
        +

        Note

        +

        Click here to download the full example code

        +
        +
        +

        Chloropleth Map

        +

        Makes an example of a chloropleth map.

        +
        from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
        +
        +
        +

        Data Collection

        +

        This Section grabs and formats the data.

        +
        query = '''
+
+WITH sum AS (
+SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood,
+sum(count) as count  FROM ptc.trip_data_agg_neighbourhood
+GROUP BY   pickup_datetime, pickup_neighbourhood
+
+), ward1 AS  (
+
+SELECT  avg(count) as count, pickup_neighbourhood from sum
+WHERE (yr=2018 AND mon IN (9))
+GROUP BY pickup_neighbourhood
+ORDER BY count
+), ward2 AS  (
+
+SELECT avg(count) as count, pickup_neighbourhood from sum
+WHERE (yr=2016 AND mon IN (10))
+GROUP BY pickup_neighbourhood
+ORDER BY count
+)
+
+SELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a
+LEFT JOIN ward1 b USING ( pickup_neighbourhood)
+LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood
+
+'''
+
        +
        +

        Rotates data 17 degrees to orient Toronto perpendicularly

        +
        data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
+data = data.to_crs({'init' :'epsg:3857'})
+
+for index, row in data.iterrows():
+    rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
+    data.at[index, 'geom'] = rotated
+
        +
        +

        The function only needs these columns, in this order

        +
        data=data[['geom', 'growth']]
+
        +
        +

        Calls the Function

        +
        fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips',
+                                       island = False,  unit = '%', nbins = 3)
+
        +
        +../_images/sphx_glr_plot_chloropleth_001.png +

        Total running time of the script: ( 0 minutes 18.050 seconds)

        + +

        Gallery generated by Sphinx-Gallery

        +
        +
        + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
        + + + + + + \ No newline at end of file diff --git a/docs/html/auto_examples/plot_line.html b/docs/html/auto_examples/plot_line.html new file mode 100644 index 0000000..e50e557 --- /dev/null +++ b/docs/html/auto_examples/plot_line.html @@ -0,0 +1,198 @@ + + + + + + + Line Chart — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + +
        +

        Note

        +

        Click here to download the full example code

        +
        +
        +

        Line Chart

        +

        Makes an example of a line chart, with an additional baseline plot and custom formatted x axis.

        +
        from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
        +
        +
        +

        Data Collection

        +

        This Section grabs and formats the data.

        +
        query='''
+WITH daily_ave AS (
+
+SELECT * FROM ptc.daily_trips
+), total AS  (
+SELECT  extract(month from pickup_datetime) as mon,
+extract(year from pickup_datetime) as yr,
+
+CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+avg(count)::integer END as count FROM daily_ave
+GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+)
+
+
+SELECT
+CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
+WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
+ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+END AS period,
+count FROM total
+'''
+total=pandasql.read_sql(query, con)
+
        +
        +

        Gets the baseline data (to be graphed in grey)

        +
        query='''
+WITH daily_ave AS (
+
+SELECT * FROM ptc.daily_trips
+), total AS  (
+SELECT  extract(month from pickup_datetime) as mon,
+extract(year from pickup_datetime) as yr,
+
+CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
+WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
+avg(count)::integer END as count FROM daily_ave
+GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
+ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
+)
+
+
+SELECT
+CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
+WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
+ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
+END AS period,
+count/2 as count FROM total
+'''
+total2=pandasql.read_sql(query, con)
+
+fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])
+
        +
        +../_images/sphx_glr_plot_line_001.png +

        Adds annotations

        +
        fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
+         verticalalignment='top', ha = 'center', bbox=props, color = '#660159')
+
        +
        +

        Adds custom x axis

        +
        month_lst2 = ['Sept\n2016',  'Jan\n2017',  'May',  'Sept',
+               'Jan\n2018', 'May',  'Sept',
+              'Jan\n2019','May',]
+plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')
+
        +
        +../_images/sphx_glr_plot_line_002.png +

        Total running time of the script: ( 0 minutes 1.126 seconds)

        + +

        Gallery generated by Sphinx-Gallery

        +
        +
        + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
        + + + + + + \ No newline at end of file diff --git a/docs/html/auto_examples/plot_stacked.html b/docs/html/auto_examples/plot_stacked.html new file mode 100644 index 0000000..8bac52b --- /dev/null +++ b/docs/html/auto_examples/plot_stacked.html @@ -0,0 +1,167 @@ + + + + + + + Stacked Bar Chart — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + +
        +

        Note

        +

        Click here to download the full example code

        +
        +
        +

        Stacked Bar Chart

        +

        Makes an example of a stacked bar chart.

        +
        from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
        +
        +
        +

        Data Collection

        +

        This Section grabs and formats the data.

        +
        query = '''
+
+WITH sum AS (
+
+SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25
+LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short
+
+WHERE pickup_datetime > '2016-09-30'
+GROUP BY pickup_datetime, area_name
+), collect AS (
+SELECT area_name, avg(count) as count, mon, yr from sum
+group by area_name,  mon, yr)
+
+,tot1 AS (
+
+SELECT area_name, avg(count) as count FROM collect
+WHERE (yr =2016 AND mon IN (10))
+GROUP BY area_name
+), tot2 AS (
+
+SELECT area_name, avg(count) as count FROM collect
+WHERE (yr =2018 AND mon IN (9))
+GROUP BY area_name
+)
+SELECT SPLIT_PART(area_name, 'Community', 1) as area_name,
+b.count as count1, a.count as count2 FROM tot1 b
+LEFT JOIN tot2 a USING (area_name)
+ORDER BY count1 ASC
+'''
+
+district_cond = pandasql.read_sql(query, con)
+
+fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)
+
        +
        +../_images/sphx_glr_plot_stacked_001.png +

        Total running time of the script: ( 0 minutes 3.557 seconds)

        + +

        Gallery generated by Sphinx-Gallery

        +
        +
        + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
        + + + + + + \ No newline at end of file diff --git a/docs/html/auto_examples/plot_tow.html b/docs/html/auto_examples/plot_tow.html new file mode 100644 index 0000000..c689dc2 --- /dev/null +++ b/docs/html/auto_examples/plot_tow.html @@ -0,0 +1,161 @@ + + + + + + + Time of Week Chart — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + +
        +

        Note

        +

        Click here to download the full example code

        +
        +
        +

        Time of Week Chart

        +

        Makes an example of a time of week chart.

        +
        from sqlalchemy import create_engine
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+import pandas as pd
+import configparser
+from psycopg2 import connect
+import psycopg2.sql as pg
+import pandas.io.sql as pandasql
+import numpy as np
+import datetime
+import math
+import rick
+import geopandas as gpd
+import os
+import shapely
+from shapely.geometry import Point
+os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
+import importlib
+import matplotlib.ticker as ticker
+import matplotlib.font_manager as font_manager
+
+
+CONFIG = configparser.ConfigParser()
+CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
+dbset = CONFIG['DBSETTINGS']
+con = connect(**dbset)
+
        +
        +
        +

        Data Collection

        +

        This Section grabs and formats the data.

        +
        query = '''
+
+WITH sum AS (
+
+SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,
+extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25
+
+
+WHERE pickup_datetime > '2018-08-31'
+GROUP BY pickup_datetime, hr
+
+)
+, collect AS (
+SELECT  avg(count) as count, hr, dow from sum
+group by hr, dow)
+
+SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow,
+CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch
+FROM collect
+LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr
+LEFT JOIN ptc.periods_simple USING (period_uid)
+ORDER BY dow, hr
+
+'''
+count_18 = pandasql.read_sql(query,con)
+
+fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)
+
        +
        +../_images/sphx_glr_plot_tow_001.png +

        Total running time of the script: ( 0 minutes 1.408 seconds)

        + +

        Gallery generated by Sphinx-Gallery

        +
        +
        + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
        + + + + + + \ No newline at end of file diff --git a/docs/html/auto_examples/sg_execution_times.html b/docs/html/auto_examples/sg_execution_times.html new file mode 100644 index 0000000..932a576 --- /dev/null +++ b/docs/html/auto_examples/sg_execution_times.html @@ -0,0 +1,86 @@ + + + + + + + Computation times — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + +
        +

        Computation times

        +

        00:33.929 total execution time for auto_examples files:

        + +
        + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
        + + + + + + \ No newline at end of file diff --git a/docs/html/code.html b/docs/html/code.html new file mode 100644 index 0000000..087148c --- /dev/null +++ b/docs/html/code.html @@ -0,0 +1,281 @@ + + + + + + + Auto Generated Documentation — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + +
        +

        Auto Generated Documentation

        +

        Version 0.8.0

        +
        +
        +class rick.charts[source]
        +

        Class defining all the charting functions.

        +
        +
        +bar_chart(xlab, **kwargs)[source]
        +

        Creates a bar chart

        +
        +
        Parameters
        +
          +

        • data (dataframe) – Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data

          • +

        • xlab (str) – Label for the x axis.

          • +

        • xmax (int, optional, default is the max s value) – The max value of the y axis

          • +

        • xmin (int, optional, default is 0) – The minimum value of the x axis

          • +

        • precision (int, optional, default is -1) – Decimal places in the annotations

          • +

        • xinc (int, optional) – The increment of ticks on the x axis.

          • +
        +
        +
        Returns
        +

          +

        • fig – Matplotlib fig object

          • +

        • ax – Matplotlib ax object

          • +
        +

        +
        +
        +
        + +
        +
        +chloro_map(df, lower, upper, title, **kwargs)[source]
        +

        Creates a chloropleth map

        +
        +
        Parameters
        +
          +

        • con (SQL connection object) – Connection object needed to connect to the RDS

          • +

        • df (GeoPandas Dataframe) – Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the geom column and the second has to be the data that needs to be mapped.

          • +

        • lower (int) – Lower bound for colourmap

          • +

        • upper (int) – Upper bound for the colourmap

          • +

        • title (str) – Legend label

          • +

        • subway (boolean, optional, default: False) – True to display subway on the map

          • +

        • island (boolean, optional, defailt: True) – False to grey out the Toronto island

          • +

        • cmap (str, optional, default: YlOrRd) – Matplotlib colourmap to use for the map

          • +

        • unit (str, optional) – Unit to append to the end of the legend tick

          • +

        • nbins (int, optional, defualt: 2) – Number of ticks in the colourmap

          • +
        +
        +
        Returns
        +

          +

        • fig – Matplotlib fig object

          • +

        • ax – Matplotlib ax object

          • +
        +

        +
        +
        +
        + +
        +
        +line_chart(ylab, xlab, **kwargs)[source]
        +

        Creates a line chart. x axis must be modified manually

        +
        +
        Parameters
        +
          +

        • data (array like or scalar) – Data for the line chart.

          • +

        • ylab (str) – Label for the y axis.

          • +

        • xlab (str) – Label for the x axis.

          • +

        • ymax (int, optional, default is the max y value) – The max value of the y axis

          • +

        • ymin (int, optional, default is 0) – The minimum value of the y axis

          • +

        • baseline (array like or scalar, optional, default is None) – Whether another line representing the baseline needs to be plotted

          • +

        • yinc (int, optional) – The increment of ticks on the y axis.

          • +
        +
        +
        Returns
        +

          +

        • fig – Matplotlib fig object

          • +

        • ax – Matplotlib ax object

          • +

        • props – Dictionary of the text annotation properties

          • +
        +

        +
        +
        +
        + +
        +
        +stacked_chart(xlab, lab1, lab2, **kwargs)[source]
        +

        Creates a stacked bar chart comparing 2 sets of data

        +
        +
        Parameters
        +
          +

        • data (dataframe) – Data for the stacked bar chart. The dataframe must have 3 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data.

          • +

        • xlab (str) – Label for the x axis.

          • +

        • lab1 (str) – Label in the legend for the baseline

          • +

        • lab2 (str) – Label in the legend fot the next data series

          • +

        • xmax (int, optional, default is the max s value) – The max value of the y axis

          • +

        • xmin (int, optional, default is 0) – The minimum value of the x axis

          • +

        • precision (int, optional, default is -1) – Decimal places in the annotations

          • +

        • percent (boolean, optional, default is False) – Whether the annotations should be formatted as percentages

          • +

        • xinc (int, optional) – The increment of ticks on the x axis.

          • +
        +
        +
        Returns
        +

          +

        • fig – Matplotlib fig object

          • +

        • ax – Matplotlib ax object

          • +
        +

        +
        +
        +
        + +
        +
        +tow_chart(ylab, **kwargs)[source]
        +

        Creates a 7 day time of week line chart. Each data point represents 1 hour out of 168 hours.

        +
        +
        Parameters
        +
          +

        • data (array like or scalar) – Data for the tow chart. Data must only have 168 entries, with row 0 representing Monday at midnight.

          • +

        • ylab (str) – Label for the y axis.

          • +

        • ymax (int, optional, default is the max y value) – The max value of the y axis

          • +

        • ymin (int, optional, default is 0) – The minimum value of the y axis

          • +

        • yinc (int, optional) – The increment of ticks on the y axis.

          • +
        +
        +
        Returns
        +

          +

        • fig – Matplotlib fig object

          • +

        • ax – Matplotlib ax object

          • +

        • props – Dictionary of the text annotation properties

          • +
        +

        +
        +
        +
        + +
        + +
        +
        +class rick.colour[source]
        +

        Class defining the global colour variables for all functions.

        +
        + +
        +
        +class rick.font[source]
        +

        Class defining the global font variables for all functions.

        +
        + +
        +
        +rick.func()
        +

        Function to set global settings for the charts class.

        +
        + +
        +
        +class rick.geo[source]
        +

        Class for additional gis layers needed for the cloropleth map.

        +
        +
        +island()[source]
        +

        Function to return a layer of the Toronto island. Since the island is classified in the same neighbourhood as the waterfront, in some cases its not completely accurate to show the island shares the same data as the waterfront.

        +
        +
        Parameters
        +

        con (SQL connection object) – Connection object needed to connect to the RDS

        +
        +
        Returns
        +

        Geopandas Dataframe of the Toronto island.

        +
        +
        Return type
        +

        gdf

        +
        +
        +
        + +
        +
        +ttc()[source]
        +

        Function to return the TTC subway layer.

        +
        +
        Parameters
        +

        con (SQL connection object) – Connection object needed to connect to the RDS

        +
        +
        Returns
        +

        Geopandas Dataframe of the Subway Layer

        +
        +
        Return type
        +

        gdf

        +
        +
        +
        + +
        + +
        + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
        + + + + + + \ No newline at end of file diff --git a/docs/html/genindex.html b/docs/html/genindex.html new file mode 100644 index 0000000..f196877 --- /dev/null +++ b/docs/html/genindex.html @@ -0,0 +1,174 @@ + + + + + + + + Index — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + + +

        Index

        + +
        + B + | C + | F + | G + | I + | L + | R + | S + | T + +
        +

        B

        + + +
        + +

        C

        + + + +
        + +

        F

        + + + +
        + +

        G

        + + +
        + +

        I

        + + +
        + +

        L

        + + +
        + +

        R

        + + +
        + +

        S

        + + +
        + +

        T

        + + + +
        + + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + +
        + + + + + + \ No newline at end of file diff --git a/docs/html/index.html b/docs/html/index.html new file mode 100644 index 0000000..f90d159 --- /dev/null +++ b/docs/html/index.html @@ -0,0 +1,98 @@ + + + + + + + Repeatable Information Charts Kit README — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + +
        +

        Repeatable Information Charts Kit README

        +

        This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions.

        +
        +

        Contents:

        + +
        +
        +
        +

        Indices and tables

        + +
        + + +
        +
        +
        + +
        +
        +
        + ©2019, Rick Liu. + + | + Powered by Sphinx 2.1.2 + & Alabaster 0.7.10 + + | + Page source +
        + + + + + + \ No newline at end of file diff --git a/docs/html/objects.inv b/docs/html/objects.inv new file mode 100644 index 0000000000000000000000000000000000000000..48d644b2bb4b20d36cf392d4959a6db603ca5050 GIT binary patch literal 724 zcmV;_0xSI^AX9K?X>NERX>N99Zgg*Qc_4OWa&u{KZXhxWBOp+6Z)#;@bUGkbMo1t- zXkl`6a|$CMR%LQ?X>V>iATTaBE-?xtAXI2&AaZ4GVQFq;WpW^IW*~HEX>%ZEX>4U6 zX>%ZBZ*6dLWpi_7WFU2OX>MmAdTeQ8E(&x1mBFU4mALXp z^qSB_J8HuVrmaDk3uX+t8L<;+vtv4KA6sp(h020FFND%6tympdAW8`z>R>G62gp8D zW7S(EuY_v!%GKkIawC#39t9Vp{>xIj-Ma*-4-i) zBhu^Mk4m?!o>RwRTaiV?>-|D_(P%e@D{39(1%G!X!3%Jsx}xa_ulJ{{0RNT00EbyY zle=f&4NhQc9c`ASFWK%^RaG~ZwL{zVYO$E{yCppOX znG2+mr0xNk`95Y zPoa)yxm##T5uy&FPV0R#LygDDi!d+^YS73CMnls~hitXUjqo!hJZJcuY?)L<-A zZ&E0heQA1n(Lju7oP{sTQOMFHP?6R?k)@ECK2(t|J{_u%mr=SR?fiGFLN>a5(c~Xh G`CDU4F;IK} literal 0 HcmV?d00001 diff --git a/docs/html/py-modindex.html b/docs/html/py-modindex.html new file mode 100644 index 0000000..14783d3 --- /dev/null +++ b/docs/html/py-modindex.html @@ -0,0 +1,96 @@ + + + + + + + Python Module Index — VFH Charts 2019-07-16 documentation + + + + + + + + + + + + + + + + + + + + + + + + +
        +
        +
        +
        + + +

        Python Module Index

        + +
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charts/sphinx/_build/html/index.html delete mode 100644 charts/sphinx/_build/html/objects.inv delete mode 100644 charts/sphinx/_build/html/py-modindex.html delete mode 100644 charts/sphinx/_build/html/search.html delete mode 100644 charts/sphinx/_build/html/searchindex.js diff --git a/charts/sphinx/_build/html/.buildinfo b/charts/sphinx/_build/html/.buildinfo deleted file mode 100644 index 2c35fee..0000000 --- a/charts/sphinx/_build/html/.buildinfo +++ /dev/null @@ -1,4 +0,0 @@ -# Sphinx build info version 1 -# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done. -config: 1c275954e7230feb7ad6ce4c29ebd80d -tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/charts/sphinx/_build/html/_downloads/21be591842209cda4c2f74d548884a33/plot_line.py b/charts/sphinx/_build/html/_downloads/21be591842209cda4c2f74d548884a33/plot_line.py deleted file mode 100644 index 5566d4c..0000000 --- a/charts/sphinx/_build/html/_downloads/21be591842209cda4c2f74d548884a33/plot_line.py +++ /dev/null @@ -1,106 +0,0 @@ -""" -Line Chart -================== - -Makes an example of a line chart, with an additional baseline plot and custom formatted x axis. -""" - -from sqlalchemy import create_engine -import matplotlib.pyplot as plt -import matplotlib as mpl -import pandas as pd -import configparser -from psycopg2 import connect -import psycopg2.sql as pg -import pandas.io.sql as pandasql -import numpy as np -import datetime -import math -import rick -import geopandas as gpd -import os -import shapely -from shapely.geometry import Point -os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" -import importlib -import matplotlib.ticker as ticker -import matplotlib.font_manager as font_manager - - -CONFIG = configparser.ConfigParser() -CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') -dbset = CONFIG['DBSETTINGS'] -con = connect(**dbset) -################################ -#Data Collection -#---------------- -# -#This Section grabs and formats the data. - -query=''' -WITH daily_ave AS ( - -SELECT * FROM ptc.daily_trips -), total AS ( -SELECT extract(month from pickup_datetime) as mon, -extract(year from pickup_datetime) as yr, - -CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 -WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE -avg(count)::integer END as count FROM daily_ave -GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) -ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) -) - - -SELECT -CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text -WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text -ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') -END AS period, -count FROM total -''' -total=pandasql.read_sql(query, con) -################################ -#Gets the baseline data (to be graphed in grey) - - - -query=''' -WITH daily_ave AS ( - -SELECT * FROM ptc.daily_trips -), total AS ( -SELECT extract(month from pickup_datetime) as mon, -extract(year from pickup_datetime) as yr, - -CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 -WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE -avg(count)::integer END as count FROM daily_ave -GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) -ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) -) - - -SELECT -CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text -WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text -ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') -END AS period, -count/2 as count FROM total -''' -total2=pandasql.read_sql(query, con) - -fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count']) - -################################ -#Adds annotations -fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', - verticalalignment='top', ha = 'center', bbox=props, color = '#660159') -################################ -#Adds custom x axis -month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', - 'Jan\n2018', 'May', 'Sept', - 'Jan\n2019','May',] -plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin') - diff --git a/charts/sphinx/_build/html/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb b/charts/sphinx/_build/html/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb deleted file mode 100644 index 1538a15..0000000 --- a/charts/sphinx/_build/html/_downloads/2a9f10257a1c8ac13ce765fc62d69803/plot_stacked.ipynb +++ /dev/null @@ -1,72 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\nStacked Bar Chart\n==================\n\nMakes an example of a stacked bar chart.\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "query = ''' \n\nWITH sum AS (\n\nSELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25\nLEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short\n\nWHERE pickup_datetime > '2016-09-30'\nGROUP BY pickup_datetime, area_name\n), collect AS (\nSELECT area_name, avg(count) as count, mon, yr from sum\ngroup by area_name, mon, yr)\n\n,tot1 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2016 AND mon IN (10))\nGROUP BY area_name\n), tot2 AS (\n\nSELECT area_name, avg(count) as count FROM collect\nWHERE (yr =2018 AND mon IN (9)) \nGROUP BY area_name\n)\nSELECT SPLIT_PART(area_name, 'Community', 1) as area_name,\nb.count as count1, a.count as count2 FROM tot1 b\nLEFT JOIN tot2 a USING (area_name)\nORDER BY count1 ASC\n'''\n\ndistrict_cond = pandasql.read_sql(query, con)\n\nfig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.6.4" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/charts/sphinx/_build/html/_downloads/31f32a41483cb2a88aa2f260f665b07f/auto_examples_python.zip b/charts/sphinx/_build/html/_downloads/31f32a41483cb2a88aa2f260f665b07f/auto_examples_python.zip deleted file mode 100644 index f96e527ac1ba1bfdbc3927f20851c3898d86b548..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 11558 zcmeHNPj4eh75Bmn2!la_<$#1lDFbR}==9pjO#VrY$T)vCyP3p_JzAk8YL&Yyc5B+* zJ>Bg|%+4Mbf%po12PAGR7eH|1#3$gu0r4H+#P3!0KPS$_8D1w6^7e9;im_I&AroB;3uv>8Vygm&mlvHubdvZ 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zV0({ucXcu2gEjRrbnzrhB0*nSQmHosP&q!J({@RdHSV+{ylMoo_JE(Ly_KXubMH%xBBIGju{{2J-g(%D~ ue0IwyFMPZ_Zv&}V`8 '2018-08-31' -GROUP BY pickup_datetime, hr - -) -, collect AS ( -SELECT avg(count) as count, hr, dow from sum -group by hr, dow) - -SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, -CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch -FROM collect -LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr -LEFT JOIN ptc.periods_simple USING (period_uid) -ORDER BY dow, hr - -''' -count_18 = pandasql.read_sql(query,con) - -fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500) \ No newline at end of file diff --git a/charts/sphinx/_build/html/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb b/charts/sphinx/_build/html/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb deleted file mode 100644 index 9919a2c..0000000 --- a/charts/sphinx/_build/html/_downloads/cc961dc436f413969336b8bd7f359ab4/plot_line.ipynb +++ /dev/null @@ -1,126 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\nLine Chart\n==================\n\nMakes an example of a line chart, with an additional baseline plot and custom formatted x axis.\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "from sqlalchemy import create_engine\nimport matplotlib.pyplot as plt\nimport matplotlib as mpl\nimport pandas as pd \nimport configparser\nfrom psycopg2 import connect\nimport psycopg2.sql as pg\nimport pandas.io.sql as pandasql\nimport numpy as np \nimport datetime\nimport math\nimport rick\nimport geopandas as gpd\nimport os\nimport shapely\nfrom shapely.geometry import Point\nos.environ[\"PROJ_LIB\"]=r\"C:\\Users\\rliu4\\AppData\\Local\\Continuum\\anaconda3\\Library\\share\"\nimport importlib\nimport matplotlib.ticker as ticker\nimport matplotlib.font_manager as font_manager\n\n\nCONFIG = configparser.ConfigParser()\nCONFIG.read(r'C:\\Users\\rliu4\\Documents\\Python\\config.cfg')\ndbset = CONFIG['DBSETTINGS']\ncon = connect(**dbset)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Data Collection\n----------------\n\nThis Section grabs and formats the data.\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "query='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS (\nSELECT extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount FROM total\n'''\ntotal=pandasql.read_sql(query, con)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Gets the baseline data (to be graphed in grey)\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "query='''\nWITH daily_ave AS (\n\nSELECT * FROM ptc.daily_trips\n), total AS (\nSELECT extract(month from pickup_datetime) as mon,\nextract(year from pickup_datetime) as yr,\n\nCASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321\nWHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE\navg(count)::integer END as count FROM daily_ave\nGROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)\nORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)\n)\n\n\nSELECT \nCASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nWHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text \nELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')\nEND AS period, \ncount/2 as count FROM total\n'''\ntotal2=pandasql.read_sql(query, con)\n\nfig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Adds annotations\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',\n verticalalignment='top', ha = 'center', bbox=props, color = '#660159')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Adds custom x axis\n\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": false - }, - "outputs": [], - "source": [ - "month_lst2 = ['Sept\\n2016', 'Jan\\n2017', 'May', 'Sept',\n 'Jan\\n2018', 'May', 'Sept', \n 'Jan\\n2019','May',]\nplt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.6.4" - } - }, - "nbformat": 4, - "nbformat_minor": 0 -} \ No newline at end of file diff --git a/charts/sphinx/_build/html/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py b/charts/sphinx/_build/html/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py deleted file mode 100644 index eba03ff..0000000 --- a/charts/sphinx/_build/html/_downloads/e0de26bd19cb293b54b1f9747d9c4ad5/plot_stacked.py +++ /dev/null @@ -1,71 +0,0 @@ -""" -Stacked Bar Chart -================== - -Makes an example of a stacked bar chart. -""" - -from sqlalchemy import create_engine -import matplotlib.pyplot as plt -import matplotlib as mpl -import pandas as pd -import configparser -from psycopg2 import connect -import psycopg2.sql as pg -import pandas.io.sql as pandasql -import numpy as np -import datetime -import math -import rick -import geopandas as gpd -import os -import shapely -from shapely.geometry import Point -os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" -import importlib -import matplotlib.ticker as ticker -import matplotlib.font_manager as font_manager - - -CONFIG = configparser.ConfigParser() -CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') -dbset = CONFIG['DBSETTINGS'] -con = connect(**dbset) -################################ -#Data Collection -#---------------- -# -#This Section grabs and formats the data. -query = ''' - -WITH sum AS ( - -SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25 -LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short - -WHERE pickup_datetime > '2016-09-30' -GROUP BY pickup_datetime, area_name -), collect AS ( -SELECT area_name, avg(count) as count, mon, yr from sum -group by area_name, mon, yr) - -,tot1 AS ( - -SELECT area_name, avg(count) as count FROM collect -WHERE (yr =2016 AND mon IN (10)) -GROUP BY area_name -), tot2 AS ( - -SELECT area_name, avg(count) as count FROM collect -WHERE (yr =2018 AND mon IN (9)) -GROUP BY area_name -) -SELECT SPLIT_PART(area_name, 'Community', 1) as area_name, -b.count as count1, a.count as count2 FROM tot1 b -LEFT JOIN tot2 a USING (area_name) -ORDER BY count1 ASC -''' - -district_cond = pandasql.read_sql(query, con) - -fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True) \ No newline at end of file diff --git a/charts/sphinx/_build/html/_images/sphx_glr_plot_bar_001.png b/charts/sphinx/_build/html/_images/sphx_glr_plot_bar_001.png deleted file mode 100644 index 3a0dda630befffdac9f11c11522a8cfdc1f52f00..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6079 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z00Nu_x7YWR<(%E(=WM@$0IOH;jV;e;ZhJ|6lUn7+7@%Tzo^@OCSU?5mPGYl>pT>hTABi1bY)^5GR?riOIW^loaID zFHM)=4h=|DE{yzLI$4QpxYyf#Mq^R7z+r~av3%K~% z-gSfn%Pz2K!17&QTkC48ea1;fZG(o02@$R6Z{Sk$lWjq#1Hd!x;&kG4sx1v(0N(+F zrG~L_3Uc+HkPvy*MA*bS9i?@pQ0U0>A~Uv-BS+`e~Cg4 zSy@?@9bQktR}V`Qa-&Z3ZMOllig)$H1x{CN3nJ#+w!3V9 z4UMP^UPNmXl2Oju0ZgZNE&!em4x5Ab6*=m9Pq4dVwH^XMD2m(30I7T)HXyh;!Afwf znIs@2v_KI3wy)CA(`#QX0+V2KhyZ_DFKlLTT47;f<&~8X)e!MM - - - - - Overview: module code — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - -

          All modules for which code is available

          - - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/_modules/rick.html b/charts/sphinx/_build/html/_modules/rick.html deleted file mode 100644 index 4e872d1..0000000 --- a/charts/sphinx/_build/html/_modules/rick.html +++ /dev/null @@ -1,666 +0,0 @@ - - - - - - - rick — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - -

          Source code for rick

          -# -*- coding: utf-8 -*-
-"""
-Version 0.8.0 
-
-
-"""
-from psycopg2 import connect
-import psycopg2.sql as pg
-import pandas.io.sql as pandasql
-import matplotlib as mpl
-import matplotlib.pyplot as plt
-import matplotlib.patches as patches
-import matplotlib.ticker as ticker
-import geopandas as gpd
-import os
-import shapely
-import seaborn as sns
-from shapely.geometry import Point
-import matplotlib.font_manager as font_manager
-import numpy as np
-
-#shapely workaround for windows
-#os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
-
-
          [docs]class font:
-    """
-    Class defining the global font variables for all functions.
-    
-    """
-    
-    leg_font = font_manager.FontProperties(family='Libre Franklin',size=9)
-    normal = 'Libre Franklin'
-    semibold = 'Libre Franklin SemiBold'
          
-    
-    
-
          [docs]class colour:
-    """
-    Class defining the global colour variables for all functions.
-    
-    """
-    purple = '#660159'
-    grey = '#7f7e7e'
-    light_grey = '#777777'
-    cmap = 'YlOrRd'
          
-    
-
          [docs]class geo:
-    """
-    Class for additional gis layers needed for the cloropleth map.
-    
-    """
-    
-
          [docs]    def ttc(con):
-        """Function to return the TTC subway layer.
-        
-        Parameters
-        ------------
-        con : SQL connection object
-            Connection object needed to connect to the RDS
-        
-        Returns
-        --------
-        gdf
-            Geopandas Dataframe of the Subway Layer
-        
-        """
-        query = '''
-        
-        SELECT * FROM gis.subway_to
-        
-        '''
-        ttc = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
-        ttc = ttc.to_crs({'init' :'epsg:3857'})
-        
-        for index, row in ttc.iterrows():
-            rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
-            ttc.loc[index, 'geom'] = rotated  
-        
-        return ttc
          
-    
-
          [docs]    def island(con):
-        
-        """Function to return a layer of the Toronto island. Since the island is classified in the same neighbourhood as the waterfront, in some cases its not completely accurate to show the island shares the same data as the waterfront. 
-        
-        Parameters
-        ------------
-        con : SQL connection object
-            Connection object needed to connect to the RDS
-        
-        Returns
-        --------
-        gdf
-            Geopandas Dataframe of the Toronto island.
-        
-        """
-        
-        query = '''
-
-        SELECT 
-        geom
-        FROM tts.zones_tts06
-        WHERE gta06 = 81
-
-        '''
-
-        island =  gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
-        island  = island.to_crs({'init' :'epsg:3857'})
-
-        for index, row in island.iterrows():
-            rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) 
-            island.loc[index, 'geom'] = rotated
-
-        return island
          
-    
-
          [docs]class charts:
-    """
-    Class defining all the charting functions.
-    
-    """
-    
-    global func
-    def func():
-        
-        """Function to set global settings for the charts class. 
-        
-        """
-        
-        sns.set(font_scale=1.5) 
-        mpl.rc('font',family='Libre Franklin')
-    
-
          [docs]    def chloro_map(con, df, lower, upper, title, **kwargs):
-        """Creates a chloropleth map
-        
-        Parameters
-        -----------
-        con : SQL connection object
-            Connection object needed to connect to the RDS
-        df : GeoPandas Dataframe
-            Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the geom column and the second has to be the data that needs to be mapped.
-        lower : int
-            Lower bound for colourmap
-        upper : int
-            Upper bound for the colourmap
-        title : str
-            Legend label
-        subway : boolean, optional, default: False
-            True to display subway on the map
-        island : boolean, optional, defailt: True
-            False to grey out the Toronto island
-        cmap : str, optional, default: YlOrRd
-            Matplotlib colourmap to use for the map
-        unit : str, optional
-            Unit to append to the end of the legend tick
-        nbins : int, optional, defualt: 2
-            Number of ticks in the colourmap
-            
-        Returns 
-        --------
-        fig
-            Matplotlib fig object
-        ax 
-            Matplotlib ax object
-            
-        """
-        
-        func()
-        subway = kwargs.get('subway', False)
-        island = kwargs.get('island', True)
-        cmap = kwargs.get('cmap', colour.cmap)
-        unit = kwargs.get('unit', None)
-        nbins = kwargs.get('nbins', 2)
-        
-        df.columns = ['geom', 'values']
-        light = '#d9d9d9'
-
-        fig, ax = plt.subplots()
-        fig.set_size_inches(6.69,3.345)
-         
-        ax.set_yticklabels([])
-        ax.set_xticklabels([])
-        ax.set_axis_off()
-    
-        mpd = df.plot(column='values', ax=ax, vmin=lower, vmax=upper,  cmap = cmap, edgecolor = 'w', linewidth = 0.5)
-        
-        if island == False:
-            island_grey = geo.island(con)
-            island_grey.plot(ax=ax, edgecolor = 'w', linewidth = 4,  color = light)
-            island_grey.plot(ax=ax, edgecolor = 'w', linewidth = 0,  color = light)
-         
-        if subway == True:
-            ttc_df = geo.ttc(con)
-            line = ttc_df.plot( ax=ax, linewidth =4, color = 'w', alpha =0.6) # ttc subway layer
-            line = ttc_df.plot( ax=ax, linewidth =2, color = 'k', alpha =0.4) # ttc subway layer
-    
-         
-        props = dict(boxstyle='round', facecolor='w', alpha=0)
-        plt.text(0.775, 0.37, title, transform=ax.transAxes, wrap = True, fontsize=7, fontname = font.semibold,
-                verticalalignment='bottom', bbox=props, fontweight = 'bold') # Adding the Legend Title
-         
-        
-        cax = fig.add_axes([0.718, 0.16, 0.01, 0.22]) # Size of colorbar
-         
-        rect = patches.Rectangle((0.76, 0.01),0.235,0.43,linewidth=0.5, transform=ax.transAxes, edgecolor=light,facecolor='none')
-        ax.add_patch(rect)
-        
-        ax.margins(0.1)
-         
-        sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(vmin=lower, vmax=upper))
-        sm._A = []
-        cbr = fig.colorbar(sm, cax=cax)
-        cbr.outline.set_linewidth(0)
-        tick_locator = ticker.MaxNLocator(nbins=nbins)
-        cbr.locator = tick_locator
-        cbr.update_ticks()
-        cbr.ax.yaxis.set_tick_params(width=0.5)
-        cbr.ax.tick_params(labelsize=6)  # Formatting for Colorbar Text
-        for l in cbr.ax.yaxis.get_ticklabels():
-            l.set_family(font.normal)
-        
-        if unit is not None:
-            if 0 < upper < 10:
-                ax.text(0.829, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left') 
-            elif 10 <= upper < 100:
-                ax.text(0.839, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
-            elif 100 <= upper < 1000:
-                ax.text(0.851, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
-            elif 1000 <= upper < 100000:
-                ax.text(0.862, 0.32, unit, transform=ax.transAxes, wrap = True, fontsize=6, fontname = font.normal, verticalalignment='bottom', ha = 'left')
-            else:
-                pass
-            
-        
-        return fig, ax
          
-    
-
          [docs]    def line_chart(data, ylab, xlab, **kwargs):
-        """Creates a line chart. x axis must be modified manually
-        
-        Parameters
-        -----------
-        data : array like or scalar
-            Data for the line chart.
-        ylab : str
-            Label for the y axis.
-        xlab : str
-            Label for the x axis.
-        ymax : int, optional, default is the max y value
-            The max value of the y axis
-        ymin : int, optional, default is 0
-            The minimum value of the y axis
-        baseline : array like or scalar, optional, default is None
-            Whether another line representing the baseline needs to be plotted
-        yinc : int, optional
-            The increment of ticks on the y axis.
-        
-        Returns 
-        --------
-        fig
-            Matplotlib fig object
-        ax 
-            Matplotlib ax object
-        props
-            Dictionary of the text annotation properties
-            
-        """
-        
-        func()
-        ymax = kwargs.get('ymax', int(data.max()))
-        ymin = kwargs.get('ymin', 0)
-        baseline = kwargs.get('baseline', None)
-        
-        delta = (ymax - ymin)/4
-        i = 0
-        while True:
-            delta /= 10
-            i += 1
-            if delta < 10:
-                break
-        yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i)))
-        
-        fig, ax =plt.subplots()
-        ax.plot(data ,linewidth=3, color = colour.purple)
-        ax.plot(baseline ,linewidth=3, color = colour.grey)
-
-        plt.grid()
-        ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
-
-        ax.set_facecolor('xkcd:white')
-
-        plt.xlabel(xlab, fontsize=9, fontweight = 'bold', horizontalalignment='right', x=0, labelpad=10, 
-                   fontname = font.normal)
-        ax.grid(color='k', linestyle='-', linewidth=0.2)
-        plt.ylabel(ylab, fontsize=9, fontweight = 'bold', horizontalalignment='right', y=1.0, 
-                   labelpad=10, fontname = font.normal)
-        fig.set_size_inches(6.1, 4.1)
-        plt.xticks(fontsize=9, fontname = font.normal)
-        plt.yticks(range(ymin,int(4.1*yinc), yinc), fontsize =9, fontname = font.normal)
-
-        props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple, linewidth = 2, facecolor = 'w', alpha=1)
-
-        ax.set_ylim([ymin,int(4*yinc+ymin)])
-        fig.patch.set_facecolor('w')
-        
-        return fig, ax, props
          
-    
-
          [docs]    def tow_chart(data, ylab, **kwargs):
-        """Creates a 7 day time of week line chart. Each data point represents 1 hour out of 168 hours.
-        
-        Parameters
-        -----------
-        data : array like or scalar
-            Data for the tow chart. Data must only have 168 entries, with row 0 representing Monday at midnight.
-        ylab : str
-            Label for the y axis.
-        ymax : int, optional, default is the max y value
-            The max value of the y axis
-        ymin : int, optional, default is 0
-            The minimum value of the y axis
-        yinc : int, optional
-            The increment of ticks on the y axis.
-        
-        Returns 
-        --------
-        fig
-            Matplotlib fig object
-        ax 
-            Matplotlib ax object
-        props
-            Dictionary of the text annotation properties
-            
-        """
-        func()
-        ymax = kwargs.get('ymax', None)
-        ymin = kwargs.get('ymin', 0)
-        
-        
-        ymax_flag = True
-        if ymax == None:
-            ymax = int(data.max())
-            ymax_flag = False
-        
-        delta = (ymax - ymin)/3
-        i = 0
-        while True:
-            delta /= 10
-            i += 1
-            if delta < 10:
-                break
-        yinc = kwargs.get('yinc', int(round(delta+1)*pow(10,i)))
-        
-        if ymax_flag == True:
-            upper = ymax
-        else:
-            upper = int(3*yinc+ymin)
-        
-        fig, ax =plt.subplots()
-        ax.plot(data, linewidth = 2.5, color = colour.purple)
-
-        plt.grid()
-        ax.set_facecolor('xkcd:white')
-
-        plt.xlabel('Time of week', fontname = font.normal, fontsize=9, horizontalalignment='left', x=0, labelpad=3, fontweight = 'bold')
-        ax.set_ylim([ymin,upper])
-
-        ax.grid(color='k', linestyle='-', linewidth=0.2)
-        plt.ylabel(ylab, fontname = font.normal, fontsize=9, horizontalalignment='right', y=1, labelpad=7, fontweight = 'bold')
-        fig.set_size_inches(6.1, 1.8)
-
-
-        ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
-        plt.yticks(range(ymin,upper+int(0.1*yinc), yinc), fontsize =9, fontname = font.normal)
-
-        ax.set_xticks(range(0,180,12))
-        ax.set_xticklabels(['0','12','0','12',
-                                                            '0','12','0','12',
-                                         '0','12','0','12','0','12'], fontname = font.normal, fontsize = 7, color = colour.light_grey)
-
-        ax.xaxis.set_minor_locator(ticker.FixedLocator(list(range(12,180,24))))
-        ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['Monday','Tuesday',
-                                                            'Wednesday','Thursday',
-                                         'Friday','Saturday','Sunday']))
-        ax.tick_params(axis='x', which='minor', colors = 'k', labelsize=9, pad =14)
-
-        props = dict(boxstyle='round, pad=0.3',edgecolor=colour.purple, linewidth = 1.5, facecolor = 'w', alpha=1)
-
-        ax.set_xlim([0,167])
-        return fig, ax, props
          
-
-
          [docs]    def stacked_chart(data_in, xlab, lab1, lab2, **kwargs):
-        """Creates a stacked bar chart comparing 2 sets of data
-        
-        Parameters
-        -----------
-        data : dataframe
-            Data for the stacked bar chart. The dataframe must have 3 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data.
-        xlab : str
-            Label for the x axis.
-        lab1 : str
-            Label in the legend for the baseline
-        lab2 : str
-            Label in the legend fot the next data series
-        xmax : int, optional, default is the max s value
-            The max value of the y axis
-        xmin : int, optional, default is 0
-            The minimum value of the x axis
-        precision : int, optional, default is -1
-            Decimal places in the annotations
-        percent : boolean, optional, default is False
-            Whether the annotations should be formatted as percentages
-            
-        xinc : int, optional
-            The increment of ticks on the x axis.
-        
-        Returns 
-        --------
-        fig
-            Matplotlib fig object
-        ax 
-            Matplotlib ax object
-            
-        """
-        
-        func()
-        data = data_in.copy(deep=True)
-        
-        data.columns = ['name', 'values1', 'values2']
-        
-        xmin = kwargs.get('xmin', 0)
-        xmax = kwargs.get('xmax', None)
-        precision = kwargs.get('precision', -1)
-        percent = kwargs.get('percent', False)
-        
-        xmax_flag = True
-        if xmax == None:
-            xmax = int(max(data[['values1', 'values2']].max()))
-            xmax_flag = False
-        
-        delta = (xmax - xmin)/4
-        i = 0
-        while True:
-            delta /= 10
-            i += 1
-            if delta < 10:
-                break
-        xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i)))
-
-        if xmax_flag == True:
-            upper = xmax
-        else:
-            upper = int(4*xinc+xmin)
-        
-        ind = np.arange(len(data))
-
-        fig, ax = plt.subplots()
-        fig.set_size_inches(6.1, len(data))
-        ax.grid(color='k', linestyle='-', linewidth=0.25)
-
-        p1 = ax.barh(ind+0.4, data['values1'], 0.4, align='center', color = colour.grey)
-        p2 = ax.barh(ind, data['values2'], 0.4, align='center', color = colour.purple)
-        ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
-
-        ax.xaxis.grid(True)
-        ax.yaxis.grid(False)
-        ax.set_yticks(ind+0.4/2)
-        ax.set_xlim(0,upper)
-        ax.set_yticklabels(data['name'])
-        ax.set_xlabel(xlab,  horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
-
-        ax.set_facecolor('xkcd:white')
-        j=0
-        
-        if precision < 1:
-            data[['values1', 'values2']] = data[['values1', 'values2']].astype(int)
-        for i in data['values2']:
-            if i < 0.1*upper:
-                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
-            else:
-                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
-            j=j+1
-        j=0.4
-        for i in data['values1']:
-            if i < 0.1*upper:
-                ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10)
-            else:
-                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
-            j=j+1
-
-        
-        ax.legend((p1[0], p2[0]), (lab1, lab2), loc=4, frameon=False, prop=font.leg_font)
-        plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10)
-        plt.yticks( fontname = font.normal, fontsize =10)
-        
-        if percent == True:
-            data_yoy = data
-            data_yoy['percent'] = (data['values2']-data['values1'])*100/data['values1']
-            j=0.15
-            for index, row in data_yoy.iterrows():
-                ax.annotate('+'+str(format(int(round(row['percent'],0)), ','))+'%', xy=(max(row[['values1', 'values2']]) + 0.03*upper, j), 
-                                                                                           color = 'k', fontname = font.normal, fontsize=10)
-                j=j+1
-                
-
-        return fig, ax
          
-    
-
          [docs]    def bar_chart(data_in, xlab,**kwargs):
-        """Creates a bar chart
-        
-        Parameters
-        -----------
-        data : dataframe
-            Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data
-        xlab : str
-            Label for the x axis.
-        xmax : int, optional, default is the max s value
-            The max value of the y axis
-        xmin : int, optional, default is 0
-            The minimum value of the x axis
-        precision : int, optional, default is -1
-            Decimal places in the annotations
-            
-        xinc : int, optional
-            The increment of ticks on the x axis.
-        
-        Returns 
-        --------
-        fig
-            Matplotlib fig object
-        ax 
-            Matplotlib ax object
-            
-        """
-        func()
-        data = data_in.copy(deep=True)
-        
-        data.columns = ['name', 'values1']
-        
-        xmin = kwargs.get('xmin', 0)
-        xmax = kwargs.get('xmax', None)
-        precision = kwargs.get('precision', 0)
-        
-        xmax_flag = True
-        if xmax == None:
-            xmax = data['values1'].max()
-            xmax_flag = False
-
-        delta = (xmax - xmin)/4
-        i = 0
-        while True:
-            if delta < 10:
-                break
-            delta /= 10
-            i += 1
-        xinc = kwargs.get('xinc', int(round(delta+1)*pow(10,i)))
-
-        if xmax_flag == True:
-            upper = xmax
-        else:
-            upper = int(4*xinc+xmin)
-        
-        ind = np.arange(len(data))
-
-        fig, ax = plt.subplots()
-        fig.set_size_inches(6.1, len(data)*0.7)
-        ax.grid(color='k', linestyle='-', linewidth=0.25)
-        p2 = ax.barh(ind, data['values1'], 0.75, align='center', color = colour.purple)
-        ax.xaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}'))
-
-        ax.xaxis.grid(True)
-        ax.yaxis.grid(False)
-        ax.set_yticks(ind)
-        ax.set_xlim(0,upper)
-        ax.set_yticklabels(data['name'])
-        ax.set_xlabel(xlab,  horizontalalignment='left', x=0, labelpad=10, fontname = font.normal, fontsize=10, fontweight = 'bold')
-
-        ax.set_facecolor('xkcd:white')
-        j=0
-        
-        if precision < 1:
-            data['values1'] = data['values1'].astype(int)
-
-        j=0
-        for i in data['values1']:
-            if i < 0.1*upper:
-                ax.annotate(str(format(round(i,precision), ',')), xy=(i+0.015*upper, j-0.05), ha = 'left', color = 'k', fontname = font.normal, fontsize=10)
-            else:
-                ax.annotate(str(format(round(i,precision), ',')), xy=(i-0.015*upper, j-0.05), ha = 'right', color = 'w', fontname = font.normal, fontsize=10)
-            j=j+1
-
-        
-        plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10)
-        plt.yticks( fontname = font.normal, fontsize =10)
-        
-        return fig, ax
          
-
          - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/_sources/auto_examples/index.rst.txt b/charts/sphinx/_build/html/_sources/auto_examples/index.rst.txt deleted file mode 100644 index 3df34af..0000000 --- a/charts/sphinx/_build/html/_sources/auto_examples/index.rst.txt +++ /dev/null @@ -1,139 +0,0 @@ -:orphan: - - - -.. _sphx_glr_auto_examples: - -Gallery of Charts -================== - -Below is a gallery of example charts for each charting function in rick.charts. - - -.. raw:: html - -
          - -.. only:: html - - .. figure:: /auto_examples/images/thumb/sphx_glr_plot_bar_thumb.png - - :ref:`sphx_glr_auto_examples_plot_bar.py` - -.. raw:: html - -
          - - -.. toctree:: - :hidden: - - /auto_examples/plot_bar - -.. raw:: html - -
          - -.. only:: html - - .. figure:: /auto_examples/images/thumb/sphx_glr_plot_tow_thumb.png - - :ref:`sphx_glr_auto_examples_plot_tow.py` - -.. raw:: html - -
          - - -.. toctree:: - :hidden: - - /auto_examples/plot_tow - -.. raw:: html - -
          - -.. only:: html - - .. figure:: /auto_examples/images/thumb/sphx_glr_plot_stacked_thumb.png - - :ref:`sphx_glr_auto_examples_plot_stacked.py` - -.. raw:: html - -
          - - -.. toctree:: - :hidden: - - /auto_examples/plot_stacked - -.. raw:: html - -
          - -.. only:: html - - .. figure:: /auto_examples/images/thumb/sphx_glr_plot_chloropleth_thumb.png - - :ref:`sphx_glr_auto_examples_plot_chloropleth.py` - -.. raw:: html - -
          - - -.. toctree:: - :hidden: - - /auto_examples/plot_chloropleth - -.. raw:: html - -
          - -.. only:: html - - .. figure:: /auto_examples/images/thumb/sphx_glr_plot_line_thumb.png - - :ref:`sphx_glr_auto_examples_plot_line.py` - -.. raw:: html - -
          - - -.. toctree:: - :hidden: - - /auto_examples/plot_line -.. raw:: html - -
          - - - -.. only :: html - - .. container:: sphx-glr-footer - :class: sphx-glr-footer-gallery - - - .. container:: sphx-glr-download - - :download:`Download all examples in Python source code: auto_examples_python.zip ` - - - - .. container:: sphx-glr-download - - :download:`Download all examples in Jupyter notebooks: auto_examples_jupyter.zip ` - - -.. only:: html - - .. rst-class:: sphx-glr-signature - - `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/sphinx/_build/html/_sources/auto_examples/plot_bar.rst.txt b/charts/sphinx/_build/html/_sources/auto_examples/plot_bar.rst.txt deleted file mode 100644 index c20872e..0000000 --- a/charts/sphinx/_build/html/_sources/auto_examples/plot_bar.rst.txt +++ /dev/null @@ -1,101 +0,0 @@ -.. note:: - :class: sphx-glr-download-link-note - - Click :ref:`here ` to download the full example code -.. rst-class:: sphx-glr-example-title - -.. _sphx_glr_auto_examples_plot_bar.py: - - -Bar Chart -================== - -Makes an example of a bar chart. - - -.. code-block:: default - - - from sqlalchemy import create_engine - import matplotlib.pyplot as plt - import matplotlib as mpl - import pandas as pd - import configparser - from psycopg2 import connect - import psycopg2.sql as pg - import pandas.io.sql as pandasql - import numpy as np - import datetime - import math - import rick - import geopandas as gpd - import os - import shapely - from shapely.geometry import Point - os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" - import importlib - import matplotlib.ticker as ticker - import matplotlib.font_manager as font_manager - - - - - - - -Data Collection ----------------- - -This creates a test dataframe to use - - -.. code-block:: default - - pass_data = {'cat': ['PTC','Taxi', 'Trip Making Population'], - 'TTC Pass': [22,16,16], - } - - transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass']) - transit_pass = transit_pass .reindex(index=transit_pass .index[::-1]) - - fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips') - - -.. image:: /auto_examples/images/sphx_glr_plot_bar_001.png - :class: sphx-glr-single-img - - - - - -.. rst-class:: sphx-glr-timing - - **Total running time of the script:** ( 0 minutes 27.838 seconds) - - -.. _sphx_glr_download_auto_examples_plot_bar.py: - - -.. only :: html - - .. container:: sphx-glr-footer - :class: sphx-glr-footer-example - - - - .. container:: sphx-glr-download - - :download:`Download Python source code: plot_bar.py ` - - - - .. container:: sphx-glr-download - - :download:`Download Jupyter notebook: plot_bar.ipynb ` - - -.. only:: html - - .. rst-class:: sphx-glr-signature - - `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/sphinx/_build/html/_sources/auto_examples/plot_chloropleth.rst.txt b/charts/sphinx/_build/html/_sources/auto_examples/plot_chloropleth.rst.txt deleted file mode 100644 index afc09fb..0000000 --- a/charts/sphinx/_build/html/_sources/auto_examples/plot_chloropleth.rst.txt +++ /dev/null @@ -1,174 +0,0 @@ -.. note:: - :class: sphx-glr-download-link-note - - Click :ref:`here ` to download the full example code -.. rst-class:: sphx-glr-example-title - -.. _sphx_glr_auto_examples_plot_chloropleth.py: - - -Chloropleth Map -================== - -Makes an example of a chloropleth map. - - -.. code-block:: default - - - - from sqlalchemy import create_engine - import matplotlib.pyplot as plt - import matplotlib as mpl - import pandas as pd - import configparser - from psycopg2 import connect - import psycopg2.sql as pg - import pandas.io.sql as pandasql - import numpy as np - import datetime - import math - import rick - import geopandas as gpd - import os - import shapely - from shapely.geometry import Point - os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" - import importlib - import matplotlib.ticker as ticker - import matplotlib.font_manager as font_manager - CONFIG = configparser.ConfigParser() - CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') - dbset = CONFIG['DBSETTINGS'] - con = connect(**dbset) - - - - - - - -Data Collection ----------------- - -This Section grabs and formats the data. - - -.. code-block:: default - - query = ''' - - WITH sum AS ( - SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood, - sum(count) as count FROM ptc.trip_data_agg_neighbourhood - GROUP BY pickup_datetime, pickup_neighbourhood - - ), ward1 AS ( - - SELECT avg(count) as count, pickup_neighbourhood from sum - WHERE (yr=2018 AND mon IN (9)) - GROUP BY pickup_neighbourhood - ORDER BY count - ), ward2 AS ( - - SELECT avg(count) as count, pickup_neighbourhood from sum - WHERE (yr=2016 AND mon IN (10)) - GROUP BY pickup_neighbourhood - ORDER BY count - ) - - SELECT pickup_neighbourhood, geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a - LEFT JOIN ward1 b USING ( pickup_neighbourhood) - LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood - - ''' - - - - - - -Rotates data 17 degrees to orient Toronto perpendicularly - - -.. code-block:: default - - data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom') - data = data.to_crs({'init' :'epsg:3857'}) - - for index, row in data.iterrows(): - rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0)) - data.at[index, 'geom'] = rotated - - - - - - - -The function only needs these columns, in this order - - -.. code-block:: default - - data=data[['geom', 'growth']] - - - - - - - - -Calls the Function - - - - - -.. code-block:: default - - fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips', - island = False, unit = '%', nbins = 3) - - - - -.. image:: /auto_examples/images/sphx_glr_plot_chloropleth_001.png - :class: sphx-glr-single-img - - - - - -.. rst-class:: sphx-glr-timing - - **Total running time of the script:** ( 0 minutes 18.050 seconds) - - -.. _sphx_glr_download_auto_examples_plot_chloropleth.py: - - -.. only :: html - - .. container:: sphx-glr-footer - :class: sphx-glr-footer-example - - - - .. container:: sphx-glr-download - - :download:`Download Python source code: plot_chloropleth.py ` - - - - .. container:: sphx-glr-download - - :download:`Download Jupyter notebook: plot_chloropleth.ipynb ` - - -.. only:: html - - .. rst-class:: sphx-glr-signature - - `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/sphinx/_build/html/_sources/auto_examples/plot_line.rst.txt b/charts/sphinx/_build/html/_sources/auto_examples/plot_line.rst.txt deleted file mode 100644 index af24062..0000000 --- a/charts/sphinx/_build/html/_sources/auto_examples/plot_line.rst.txt +++ /dev/null @@ -1,197 +0,0 @@ -.. note:: - :class: sphx-glr-download-link-note - - Click :ref:`here ` to download the full example code -.. rst-class:: sphx-glr-example-title - -.. _sphx_glr_auto_examples_plot_line.py: - - -Line Chart -================== - -Makes an example of a line chart, with an additional baseline plot and custom formatted x axis. - - -.. code-block:: default - - - from sqlalchemy import create_engine - import matplotlib.pyplot as plt - import matplotlib as mpl - import pandas as pd - import configparser - from psycopg2 import connect - import psycopg2.sql as pg - import pandas.io.sql as pandasql - import numpy as np - import datetime - import math - import rick - import geopandas as gpd - import os - import shapely - from shapely.geometry import Point - os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" - import importlib - import matplotlib.ticker as ticker - import matplotlib.font_manager as font_manager - - - CONFIG = configparser.ConfigParser() - CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') - dbset = CONFIG['DBSETTINGS'] - con = connect(**dbset) - - - - - - -Data Collection ----------------- - -This Section grabs and formats the data. - - -.. code-block:: default - - - query=''' - WITH daily_ave AS ( - - SELECT * FROM ptc.daily_trips - ), total AS ( - SELECT extract(month from pickup_datetime) as mon, - extract(year from pickup_datetime) as yr, - - CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 - WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE - avg(count)::integer END as count FROM daily_ave - GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) - ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) - ) - - - SELECT - CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text - WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text - ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') - END AS period, - count FROM total - ''' - total=pandasql.read_sql(query, con) - - - - - - -Gets the baseline data (to be graphed in grey) - - -.. code-block:: default - - - - - query=''' - WITH daily_ave AS ( - - SELECT * FROM ptc.daily_trips - ), total AS ( - SELECT extract(month from pickup_datetime) as mon, - extract(year from pickup_datetime) as yr, - - CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321 - WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE - avg(count)::integer END as count FROM daily_ave - GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime) - ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime) - ) - - - SELECT - CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text - WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text - ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon') - END AS period, - count/2 as count FROM total - ''' - total2=pandasql.read_sql(query, con) - - fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count']) - - - - -.. image:: /auto_examples/images/sphx_glr_plot_line_001.png - :class: sphx-glr-single-img - - - - -Adds annotations - - -.. code-block:: default - - fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin', - verticalalignment='top', ha = 'center', bbox=props, color = '#660159') - - - - - - -Adds custom x axis - - -.. code-block:: default - - month_lst2 = ['Sept\n2016', 'Jan\n2017', 'May', 'Sept', - 'Jan\n2018', 'May', 'Sept', - 'Jan\n2019','May',] - plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin') - - - - -.. image:: /auto_examples/images/sphx_glr_plot_line_002.png - :class: sphx-glr-single-img - - - - - -.. rst-class:: sphx-glr-timing - - **Total running time of the script:** ( 0 minutes 1.126 seconds) - - -.. _sphx_glr_download_auto_examples_plot_line.py: - - -.. only :: html - - .. container:: sphx-glr-footer - :class: sphx-glr-footer-example - - - - .. container:: sphx-glr-download - - :download:`Download Python source code: plot_line.py ` - - - - .. container:: sphx-glr-download - - :download:`Download Jupyter notebook: plot_line.ipynb ` - - -.. only:: html - - .. rst-class:: sphx-glr-signature - - `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/sphinx/_build/html/_sources/auto_examples/plot_stacked.rst.txt b/charts/sphinx/_build/html/_sources/auto_examples/plot_stacked.rst.txt deleted file mode 100644 index 238000d..0000000 --- a/charts/sphinx/_build/html/_sources/auto_examples/plot_stacked.rst.txt +++ /dev/null @@ -1,131 +0,0 @@ -.. note:: - :class: sphx-glr-download-link-note - - Click :ref:`here ` to download the full example code -.. rst-class:: sphx-glr-example-title - -.. _sphx_glr_auto_examples_plot_stacked.py: - - -Stacked Bar Chart -================== - -Makes an example of a stacked bar chart. - - -.. code-block:: default - - - from sqlalchemy import create_engine - import matplotlib.pyplot as plt - import matplotlib as mpl - import pandas as pd - import configparser - from psycopg2 import connect - import psycopg2.sql as pg - import pandas.io.sql as pandasql - import numpy as np - import datetime - import math - import rick - import geopandas as gpd - import os - import shapely - from shapely.geometry import Point - os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" - import importlib - import matplotlib.ticker as ticker - import matplotlib.font_manager as font_manager - - - CONFIG = configparser.ConfigParser() - CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') - dbset = CONFIG['DBSETTINGS'] - con = connect(**dbset) - - - - - - -Data Collection ----------------- - -This Section grabs and formats the data. - - -.. code-block:: default - - query = ''' - - WITH sum AS ( - - SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25 - LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short - - WHERE pickup_datetime > '2016-09-30' - GROUP BY pickup_datetime, area_name - ), collect AS ( - SELECT area_name, avg(count) as count, mon, yr from sum - group by area_name, mon, yr) - - ,tot1 AS ( - - SELECT area_name, avg(count) as count FROM collect - WHERE (yr =2016 AND mon IN (10)) - GROUP BY area_name - ), tot2 AS ( - - SELECT area_name, avg(count) as count FROM collect - WHERE (yr =2018 AND mon IN (9)) - GROUP BY area_name - ) - SELECT SPLIT_PART(area_name, 'Community', 1) as area_name, - b.count as count1, a.count as count2 FROM tot1 b - LEFT JOIN tot2 a USING (area_name) - ORDER BY count1 ASC - ''' - - district_cond = pandasql.read_sql(query, con) - - fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True) - - -.. image:: /auto_examples/images/sphx_glr_plot_stacked_001.png - :class: sphx-glr-single-img - - - - - -.. rst-class:: sphx-glr-timing - - **Total running time of the script:** ( 0 minutes 3.557 seconds) - - -.. _sphx_glr_download_auto_examples_plot_stacked.py: - - -.. only :: html - - .. container:: sphx-glr-footer - :class: sphx-glr-footer-example - - - - .. container:: sphx-glr-download - - :download:`Download Python source code: plot_stacked.py ` - - - - .. container:: sphx-glr-download - - :download:`Download Jupyter notebook: plot_stacked.ipynb ` - - -.. only:: html - - .. rst-class:: sphx-glr-signature - - `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/sphinx/_build/html/_sources/auto_examples/plot_tow.rst.txt b/charts/sphinx/_build/html/_sources/auto_examples/plot_tow.rst.txt deleted file mode 100644 index 967cc39..0000000 --- a/charts/sphinx/_build/html/_sources/auto_examples/plot_tow.rst.txt +++ /dev/null @@ -1,125 +0,0 @@ -.. note:: - :class: sphx-glr-download-link-note - - Click :ref:`here ` to download the full example code -.. rst-class:: sphx-glr-example-title - -.. _sphx_glr_auto_examples_plot_tow.py: - - -Time of Week Chart -================== - -Makes an example of a time of week chart. - - -.. code-block:: default - - - from sqlalchemy import create_engine - import matplotlib.pyplot as plt - import matplotlib as mpl - import pandas as pd - import configparser - from psycopg2 import connect - import psycopg2.sql as pg - import pandas.io.sql as pandasql - import numpy as np - import datetime - import math - import rick - import geopandas as gpd - import os - import shapely - from shapely.geometry import Point - os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" - import importlib - import matplotlib.ticker as ticker - import matplotlib.font_manager as font_manager - - - CONFIG = configparser.ConfigParser() - CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg') - dbset = CONFIG['DBSETTINGS'] - con = connect(**dbset) - - - - - - -Data Collection ----------------- - -This Section grabs and formats the data. - - -.. code-block:: default - - query = ''' - - WITH sum AS ( - - SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, - extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25 - - - WHERE pickup_datetime > '2018-08-31' - GROUP BY pickup_datetime, hr - - ) - , collect AS ( - SELECT avg(count) as count, hr, dow from sum - group by hr, dow) - - SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow, - CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch - FROM collect - LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr - LEFT JOIN ptc.periods_simple USING (period_uid) - ORDER BY dow, hr - - ''' - count_18 = pandasql.read_sql(query,con) - - fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500) - - -.. image:: /auto_examples/images/sphx_glr_plot_tow_001.png - :class: sphx-glr-single-img - - - - - -.. rst-class:: sphx-glr-timing - - **Total running time of the script:** ( 0 minutes 1.408 seconds) - - -.. _sphx_glr_download_auto_examples_plot_tow.py: - - -.. only :: html - - .. container:: sphx-glr-footer - :class: sphx-glr-footer-example - - - - .. container:: sphx-glr-download - - :download:`Download Python source code: plot_tow.py ` - - - - .. container:: sphx-glr-download - - :download:`Download Jupyter notebook: plot_tow.ipynb ` - - -.. only:: html - - .. rst-class:: sphx-glr-signature - - `Gallery generated by Sphinx-Gallery `_ diff --git a/charts/sphinx/_build/html/_sources/auto_examples/sg_execution_times.rst.txt b/charts/sphinx/_build/html/_sources/auto_examples/sg_execution_times.rst.txt deleted file mode 100644 index b94b955..0000000 --- a/charts/sphinx/_build/html/_sources/auto_examples/sg_execution_times.rst.txt +++ /dev/null @@ -1,14 +0,0 @@ - -:orphan: - -.. _sphx_glr_auto_examples_sg_execution_times: - -Computation times -================= -**00:33.929** total execution time for **auto_examples** files: - -- **00:27.838**: :ref:`sphx_glr_auto_examples_plot_bar.py` (``plot_bar.py``) -- **00:03.557**: :ref:`sphx_glr_auto_examples_plot_stacked.py` (``plot_stacked.py``) -- **00:01.408**: :ref:`sphx_glr_auto_examples_plot_tow.py` (``plot_tow.py``) -- **00:01.126**: :ref:`sphx_glr_auto_examples_plot_line.py` (``plot_line.py``) -- **00:00.000**: :ref:`sphx_glr_auto_examples_plot_chloropleth.py` (``plot_chloropleth.py``) diff --git a/charts/sphinx/_build/html/_sources/code.rst.txt b/charts/sphinx/_build/html/_sources/code.rst.txt deleted file mode 100644 index 01cb60b..0000000 --- a/charts/sphinx/_build/html/_sources/code.rst.txt +++ /dev/null @@ -1,5 +0,0 @@ -Auto Generated Documentation -============================ - -.. automodule:: rick - :members: \ No newline at end of file diff --git a/charts/sphinx/_build/html/_sources/index.rst.txt b/charts/sphinx/_build/html/_sources/index.rst.txt deleted file mode 100644 index 9bde69a..0000000 --- a/charts/sphinx/_build/html/_sources/index.rst.txt +++ /dev/null @@ -1,25 +0,0 @@ -.. VFH Charts documentation master file, created by - sphinx-quickstart on Tue Jul 16 16:26:10 2019. - You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. - -Repeatable Information Charts Kit README -========================================== - -This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions. - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - - code - auto_examples/index - - - -Indices and tables -================== - -* :ref:`genindex` -* :ref:`modindex` -* :ref:`search` diff --git a/charts/sphinx/_build/html/_static/alabaster.css b/charts/sphinx/_build/html/_static/alabaster.css deleted file mode 100644 index be65b13..0000000 --- a/charts/sphinx/_build/html/_static/alabaster.css +++ /dev/null @@ -1,693 +0,0 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -@import url("basic.css"); - -/* -- page layout ----------------------------------------------------------- */ - -body { - font-family: 'goudy old style', 'minion pro', 'bell mt', Georgia, 'Hiragino Mincho Pro', serif; - font-size: 17px; - background-color: #fff; - color: #000; - margin: 0; - padding: 0; -} - - -div.document { - width: 940px; - margin: 30px auto 0 auto; -} - -div.documentwrapper { - float: left; - width: 100%; -} - -div.bodywrapper { - margin: 0 0 0 220px; -} - -div.sphinxsidebar { - width: 220px; - font-size: 14px; - line-height: 1.5; -} - -hr { - border: 1px solid #B1B4B6; -} - -div.body { - background-color: #fff; - color: #3E4349; - padding: 0 30px 0 30px; -} - -div.body > .section { - text-align: left; -} - -div.footer { - width: 940px; - margin: 20px auto 30px auto; - font-size: 14px; - color: #888; - text-align: right; -} - -div.footer a { - color: #888; -} - -p.caption { - font-family: inherit; - font-size: inherit; -} - - -div.relations { - display: none; -} - - -div.sphinxsidebar a { - color: #444; - text-decoration: none; - border-bottom: 1px dotted #999; -} - -div.sphinxsidebar a:hover { - border-bottom: 1px solid #999; -} - -div.sphinxsidebarwrapper { - padding: 18px 10px; -} - -div.sphinxsidebarwrapper p.logo { - padding: 0; - margin: -10px 0 0 0px; - text-align: center; -} - -div.sphinxsidebarwrapper h1.logo { - margin-top: -10px; 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addItems); - }); - } - } - var addItems = []; - var result = this.each(function() { - highlight(this, addItems); - }); - for (var i = 0; i < addItems.length; ++i) { - jQuery(addItems[i].parent).before(addItems[i].target); - } - return result; -}; - -/* - * backward compatibility for jQuery.browser - * This will be supported until firefox bug is fixed. - */ -if (!jQuery.browser) { - jQuery.uaMatch = function(ua) { - ua = ua.toLowerCase(); - - var match = /(chrome)[ \/]([\w.]+)/.exec(ua) || - /(webkit)[ \/]([\w.]+)/.exec(ua) || - /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) || - /(msie) ([\w.]+)/.exec(ua) || - ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) || - []; - - return { - browser: match[ 1 ] || "", - version: match[ 2 ] || "0" - }; - }; - jQuery.browser = {}; - jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true; -} - -/** - * Small JavaScript module for the documentation. - */ -var Documentation = { - - init : function() { - this.fixFirefoxAnchorBug(); - this.highlightSearchWords(); - this.initIndexTable(); - if (DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) { - this.initOnKeyListeners(); - } - }, - - /** - * i18n support - */ - TRANSLATIONS : {}, - PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; }, - LOCALE : 'unknown', - - // gettext and ngettext don't access this so that the functions - // can safely bound to a different name (_ = Documentation.gettext) - gettext : function(string) { - var translated = Documentation.TRANSLATIONS[string]; - if (typeof translated === 'undefined') - return string; - return (typeof translated === 'string') ? translated : translated[0]; - }, - - ngettext : function(singular, plural, n) { - var translated = Documentation.TRANSLATIONS[singular]; - if (typeof translated === 'undefined') - return (n == 1) ? singular : plural; - return translated[Documentation.PLURALEXPR(n)]; - }, - - addTranslations : function(catalog) { - for (var key in catalog.messages) - this.TRANSLATIONS[key] = catalog.messages[key]; - this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')'); - this.LOCALE = catalog.locale; - }, - - /** - * add context elements like header anchor links - */ - addContextElements : function() { - $('div[id] > :header:first').each(function() { - $('\u00B6'). - attr('href', '#' + this.id). - attr('title', _('Permalink to this headline')). - appendTo(this); - }); - $('dt[id]').each(function() { - $('\u00B6'). - attr('href', '#' + this.id). - attr('title', _('Permalink to this definition')). - appendTo(this); - }); - }, - - /** - * workaround a firefox stupidity - * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075 - */ - fixFirefoxAnchorBug : function() { - if (document.location.hash && $.browser.mozilla) - window.setTimeout(function() { - document.location.href += ''; - }, 10); - }, - - /** - * highlight the search words provided in the url in the text - */ - highlightSearchWords : function() { - var params = $.getQueryParameters(); - var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : []; - if (terms.length) { - var body = $('div.body'); - if (!body.length) { - body = $('body'); - } - window.setTimeout(function() { - $.each(terms, function() { - body.highlightText(this.toLowerCase(), 'highlighted'); - }); - }, 10); - $('

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          ') - .appendTo($('#searchbox')); - } - }, - - /** - * init the domain index toggle buttons - */ - initIndexTable : function() { - var togglers = $('img.toggler').click(function() { - var src = $(this).attr('src'); - var idnum = $(this).attr('id').substr(7); - $('tr.cg-' + idnum).toggle(); - if (src.substr(-9) === 'minus.png') - $(this).attr('src', src.substr(0, src.length-9) + 'plus.png'); - else - $(this).attr('src', src.substr(0, src.length-8) + 'minus.png'); - }).css('display', ''); - if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) { - togglers.click(); - } - }, - - /** - * helper function to hide the search marks again - */ - hideSearchWords : function() { - $('#searchbox .highlight-link').fadeOut(300); - $('span.highlighted').removeClass('highlighted'); - }, - - /** - * make the url absolute - */ - makeURL : function(relativeURL) { - return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL; - }, - - /** - * get the current relative url - */ - getCurrentURL : function() { - var path = document.location.pathname; - var parts = path.split(/\//); - $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() { - if (this === '..') - parts.pop(); - }); - var url = parts.join('/'); - return path.substring(url.lastIndexOf('/') + 1, path.length - 1); - }, - - initOnKeyListeners: function() { - $(document).keyup(function(event) { - var activeElementType = document.activeElement.tagName; - // don't navigate when in search box or textarea - if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT') { - switch (event.keyCode) { - case 37: // left - var prevHref = $('link[rel="prev"]').prop('href'); - if (prevHref) { - window.location.href = prevHref; - return false; - } - case 39: // right - var nextHref = $('link[rel="next"]').prop('href'); - if (nextHref) { - window.location.href = nextHref; - return false; - } - } - } - }); - } -}; - -// quick alias for translations -_ = Documentation.gettext; - -$(document).ready(function() { - Documentation.init(); -}); 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- border: solid #fff 1px; - -moz-border-radius: 5px; - -webkit-border-radius: 5px; - border-radius: 5px; - box-shadow: none; - float: left; - margin: 5px; - min-height: 230px; - padding-top: 5px; - position: relative; -} -.sphx-glr-thumbcontainer:hover { - border: solid #b4ddfc 1px; - box-shadow: 0 0 15px rgba(142, 176, 202, 0.5); -} -.sphx-glr-thumbcontainer a.internal { - bottom: 0; - display: block; - left: 0; - padding: 150px 10px 0; - position: absolute; - right: 0; - top: 0; -} -/* Next one is to avoid Sphinx traditional theme to cover all the -thumbnail with its default link Background color */ -.sphx-glr-thumbcontainer a.internal:hover { - background-color: transparent; -} - -.sphx-glr-thumbcontainer p { - margin: 0 0 .1em 0; -} -.sphx-glr-thumbcontainer .figure { - margin: 10px; - width: 160px; -} -.sphx-glr-thumbcontainer img { - display: inline; - max-height: 160px; - width: 160px; -} -.sphx-glr-thumbcontainer[tooltip]:hover:after { - background: rgba(0, 0, 0, 0.8); - -webkit-border-radius: 5px; - -moz-border-radius: 5px; - border-radius: 5px; - color: #fff; - content: attr(tooltip); - left: 95%; - padding: 5px 15px; - position: absolute; - z-index: 98; - width: 220px; - bottom: 52%; -} -.sphx-glr-thumbcontainer[tooltip]:hover:before { - border: solid; - border-color: #333 transparent; - border-width: 18px 0 0 20px; - bottom: 58%; - content: ''; - left: 85%; - position: absolute; - z-index: 99; -} - -.highlight-pytb pre { - background-color: #ffe4e4; - border: 1px solid #f66; - margin-top: 10px; - padding: 7px; -} - -.sphx-glr-script-out { - color: #888; - margin: 0; -} -p.sphx-glr-script-out { - padding-top: 0.7em; -} -.sphx-glr-script-out .highlight { - background-color: transparent; - margin-left: 2.5em; - margin-top: -2.1em; -} -.sphx-glr-script-out .highlight pre { - background-color: #fafae2; - border: 0; - max-height: 30em; - overflow: auto; - padding-left: 1ex; - margin: 0px; - word-break: break-word; -} -.sphx-glr-script-out + p { - margin-top: 1.8em; -} -blockquote.sphx-glr-script-out { - margin-left: 0pt; -} - -div.sphx-glr-footer { - text-align: center; -} - -div.binder-badge { - margin: 1em auto; - vertical-align: middle; -} - -div.sphx-glr-download { - margin: 1em auto; - vertical-align: middle; -} - -div.sphx-glr-download a { - background-color: #ffc; - background-image: linear-gradient(to bottom, #FFC, #d5d57e); - border-radius: 4px; - border: 1px solid #c2c22d; - color: #000; - display: inline-block; - font-weight: bold; - padding: 1ex; - text-align: center; -} - -div.sphx-glr-download code.download { - display: inline-block; - white-space: normal; - word-break: normal; - overflow-wrap: break-word; - /* border and background are given by the enclosing 'a' */ - border: none; - background: none; -} - -div.sphx-glr-download a:hover { - box-shadow: inset 0 1px 0 rgba(255,255,255,.1), 0 1px 5px rgba(0,0,0,.25); - text-decoration: none; - background-image: none; - background-color: #d5d57e; -} - -.sphx-glr-example-title > :target::before { - display: block; - content: ""; - margin-top: -50px; - height: 50px; - visibility: hidden; -} - -ul.sphx-glr-horizontal { - list-style: none; - padding: 0; -} -ul.sphx-glr-horizontal li { - display: inline; -} -ul.sphx-glr-horizontal img { - height: auto !important; -} - -.sphx-glr-single-img { - margin: auto; - display: block; - max-width: 100%; -} - -.sphx-glr-multi-img { - max-width: 42%; - height: auto; -} - -p.sphx-glr-signature a.reference.external { - -moz-border-radius: 5px; - -webkit-border-radius: 5px; - border-radius: 5px; - padding: 3px; - font-size: 75%; - text-align: right; - margin-left: auto; - display: table; -} diff --git a/charts/sphinx/_build/html/_static/jquery-3.2.1.js b/charts/sphinx/_build/html/_static/jquery-3.2.1.js deleted file mode 100644 index d2d8ca4..0000000 --- a/charts/sphinx/_build/html/_static/jquery-3.2.1.js +++ /dev/null @@ -1,10253 +0,0 @@ -/*! - * jQuery JavaScript Library v3.2.1 - * https://jquery.com/ - * - * Includes Sizzle.js - * https://sizzlejs.com/ - * - * Copyright JS Foundation and other contributors - * Released under the MIT license - * https://jquery.org/license - * - * Date: 2017-03-20T18:59Z - */ -( function( global, factory ) { - - "use strict"; - - if ( typeof module === "object" && typeof module.exports === "object" ) { - - // For CommonJS and CommonJS-like environments where a proper `window` - // is present, execute the factory and get jQuery. - // For environments that do not have a `window` with a `document` - // (such as Node.js), expose a factory as module.exports. - // This accentuates the need for the creation of a real `window`. - // e.g. var jQuery = require("jquery")(window); - // See ticket #14549 for more info. - module.exports = global.document ? - factory( global, true ) : - function( w ) { - if ( !w.document ) { - throw new Error( "jQuery requires a window with a document" ); - } - return factory( w ); - }; - } else { - factory( global ); - } - -// Pass this if window is not defined yet -} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) { - -// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1 -// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode -// arguments.callee.caller (trac-13335). 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- copy = options[ name ]; - - // Prevent never-ending loop - if ( target === copy ) { - continue; - } - - // Recurse if we're merging plain objects or arrays - if ( deep && copy && ( jQuery.isPlainObject( copy ) || - ( copyIsArray = Array.isArray( copy ) ) ) ) { - - if ( copyIsArray ) { - copyIsArray = false; - clone = src && Array.isArray( src ) ? src : []; - - } else { - clone = src && jQuery.isPlainObject( src ) ? src : {}; - } - - // Never move original objects, clone them - target[ name ] = jQuery.extend( deep, clone, copy ); - - // Don't bring in undefined values - } else if ( copy !== undefined ) { - target[ name ] = copy; - } - } - } - } - - // Return the modified object - return target; -}; - -jQuery.extend( { - - // Unique for each copy of jQuery on the page - expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ), - - // Assume jQuery is ready without the ready module - isReady: true, - - error: function( msg ) { - throw new Error( msg ); - }, - - noop: function() {}, - - isFunction: function( obj ) { - return jQuery.type( obj ) === "function"; - }, - - isWindow: function( obj ) { - return obj != null && obj === obj.window; - }, - - isNumeric: function( obj ) { - - // As of jQuery 3.0, isNumeric is limited to - // strings and numbers (primitives or objects) - // that can be coerced to finite numbers (gh-2662) - var type = jQuery.type( obj ); - return ( type === "number" || type === "string" ) && - - // parseFloat NaNs numeric-cast false positives ("") - // ...but misinterprets leading-number strings, particularly hex literals ("0x...") - // subtraction forces infinities to NaN - !isNaN( obj - parseFloat( obj ) ); - }, - - isPlainObject: function( obj ) { - var proto, Ctor; - - // Detect obvious negatives - // Use toString instead of jQuery.type to catch host objects - if ( !obj || toString.call( obj ) !== "[object Object]" ) { - return false; - } - - proto = getProto( obj ); - - // Objects with no prototype (e.g., `Object.create( null )`) are plain - if ( !proto ) { - return true; - } - - // Objects with prototype are plain iff they were constructed by a global Object function - Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor; - return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString; - }, - - isEmptyObject: function( obj ) { - - /* eslint-disable no-unused-vars */ - // See https://github.com/eslint/eslint/issues/6125 - var name; - - for ( name in obj ) { - return false; - } - return true; - }, - - type: function( obj ) { - if ( obj == null ) { - return obj + ""; - } - - // Support: Android <=2.3 only (functionish RegExp) - return typeof obj === "object" || typeof obj === "function" ? - class2type[ toString.call( obj ) ] || "object" : - typeof obj; - }, - - // Evaluates a script in a global context - globalEval: function( code ) { - DOMEval( code ); - }, - - // Convert dashed to camelCase; used by the css and data modules - // Support: IE <=9 - 11, Edge 12 - 13 - // Microsoft forgot to hump their vendor prefix (#9572) - camelCase: function( string ) { - return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); - }, - - each: function( obj, callback ) { - var length, i = 0; - - if ( isArrayLike( obj ) ) { - length = obj.length; - for ( ; i < length; i++ ) { - if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { - break; - } - } - } else { - for ( i in obj ) { - if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { - break; - } - } - } - - return obj; - }, - - // Support: Android <=4.0 only - trim: function( text ) { - return text == null ? - "" : - ( text + "" ).replace( rtrim, "" ); - }, - - // results is for internal usage only - makeArray: function( arr, results ) { - var ret = results || []; - - if ( arr != null ) { - if ( isArrayLike( Object( arr ) ) ) { - jQuery.merge( ret, - typeof arr === "string" ? - [ arr ] : arr - ); - } else { - push.call( ret, arr ); - } - } - - return ret; - }, - - inArray: function( elem, arr, i ) { - return arr == null ? -1 : indexOf.call( arr, elem, i ); - }, - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - merge: function( first, second ) { - var len = +second.length, - j = 0, - i = first.length; - - for ( ; j < len; j++ ) { - first[ i++ ] = second[ j ]; - } - - first.length = i; - - return first; - }, - - grep: function( elems, callback, invert ) { - var callbackInverse, - matches = [], - i = 0, - length = elems.length, - callbackExpect = !invert; - - // Go through the array, only saving the items - // that pass the validator function - for ( ; i < length; i++ ) { - callbackInverse = !callback( elems[ i ], i ); - if ( callbackInverse !== callbackExpect ) { - matches.push( elems[ i ] ); - } - } - - return matches; - }, - - // arg is for internal usage only - map: function( elems, callback, arg ) { - var length, value, - i = 0, - ret = []; - - // Go through the array, translating each of the items to their new values - if ( isArrayLike( elems ) ) { - length = elems.length; - for ( ; i < length; i++ ) { - value = callback( elems[ i ], i, arg ); - - if ( value != null ) { - ret.push( value ); - } - } - - // Go through every key on the object, - } else { - for ( i in elems ) { - value = callback( elems[ i ], i, arg ); - - if ( value != null ) { - ret.push( value ); - } - } - } - - // Flatten any nested arrays - return concat.apply( [], ret ); - }, - - // A global GUID counter for objects - guid: 1, - - // Bind a function to a context, optionally partially applying any - // arguments. - proxy: function( fn, context ) { - var tmp, args, proxy; - - if ( typeof context === "string" ) { - tmp = fn[ context ]; - context = fn; - fn = tmp; - } - - // Quick check to determine if target is callable, in the spec - // this throws a TypeError, but we will just return undefined. - if ( !jQuery.isFunction( fn ) ) { - return undefined; - } - - // Simulated bind - args = slice.call( arguments, 2 ); - proxy = function() { - return fn.apply( context || this, args.concat( slice.call( arguments ) ) ); - }; - - // Set the guid of unique handler to the same of original handler, so it can be removed - proxy.guid = fn.guid = fn.guid || jQuery.guid++; - - return proxy; - }, - - now: Date.now, - - // jQuery.support is not used in Core but other projects attach their - // properties to it so it needs to exist. - support: support -} ); - -if ( typeof Symbol === "function" ) { - jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ]; -} - -// Populate the class2type map -jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ), -function( i, name ) { - class2type[ "[object " + name + "]" ] = name.toLowerCase(); -} ); - -function isArrayLike( obj ) { - - // Support: real iOS 8.2 only (not reproducible in simulator) - // `in` check used to prevent JIT error (gh-2145) - // hasOwn isn't used here due to false negatives - // regarding Nodelist length in IE - var length = !!obj && "length" in obj && obj.length, - type = jQuery.type( obj ); - - if ( type === "function" || jQuery.isWindow( obj ) ) { - return false; - } - - return type === "array" || length === 0 || - typeof length === "number" && length > 0 && ( length - 1 ) in obj; -} -var Sizzle = -/*! - * Sizzle CSS Selector Engine v2.3.3 - * https://sizzlejs.com/ - * - * Copyright jQuery Foundation and other contributors - * Released under the MIT license - * http://jquery.org/license - * - * Date: 2016-08-08 - */ -(function( window ) { - -var i, - support, - Expr, - getText, - isXML, - tokenize, - compile, - select, - outermostContext, - sortInput, - hasDuplicate, - - // Local document vars - setDocument, - document, - docElem, - documentIsHTML, - rbuggyQSA, - rbuggyMatches, - matches, - contains, - - // Instance-specific data - expando = "sizzle" + 1 * new Date(), - preferredDoc = window.document, - dirruns = 0, - done = 0, - classCache = createCache(), - tokenCache = createCache(), - compilerCache = createCache(), - sortOrder = function( a, b ) { - if ( a === b ) { - hasDuplicate = true; - } - return 0; - }, - - // Instance methods - hasOwn = ({}).hasOwnProperty, - arr = [], - pop = arr.pop, - push_native = arr.push, - push = arr.push, - slice = arr.slice, - // Use a stripped-down indexOf as it's faster than native - // https://jsperf.com/thor-indexof-vs-for/5 - indexOf = function( list, elem ) { - var i = 0, - len = list.length; - for ( ; i < len; i++ ) { - if ( list[i] === elem ) { - return i; - } - } - return -1; - }, - - booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|ismap|loop|multiple|open|readonly|required|scoped", - - // Regular expressions - - // http://www.w3.org/TR/css3-selectors/#whitespace - whitespace = "[\\x20\\t\\r\\n\\f]", - - // http://www.w3.org/TR/CSS21/syndata.html#value-def-identifier - identifier = "(?:\\\\.|[\\w-]|[^\0-\\xa0])+", - - // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors - attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace + - // Operator (capture 2) - "*([*^$|!~]?=)" + whitespace + - // "Attribute values must be CSS identifiers [capture 5] or strings [capture 3 or capture 4]" - "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + whitespace + - "*\\]", - - pseudos = ":(" + identifier + ")(?:\\((" + - // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: - // 1. quoted (capture 3; capture 4 or capture 5) - "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + - // 2. simple (capture 6) - "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + - // 3. anything else (capture 2) - ".*" + - ")\\)|)", - - // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter - rwhitespace = new RegExp( whitespace + "+", "g" ), - rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + whitespace + "+$", "g" ), - - rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), - rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + "*" ), - - rattributeQuotes = new RegExp( "=" + whitespace + "*([^\\]'\"]*?)" + whitespace + "*\\]", "g" ), - - rpseudo = new RegExp( pseudos ), - ridentifier = new RegExp( "^" + identifier + "$" ), - - matchExpr = { - "ID": new RegExp( "^#(" + identifier + ")" ), - "CLASS": new RegExp( "^\\.(" + identifier + ")" ), - "TAG": new RegExp( "^(" + identifier + "|[*])" ), - "ATTR": new RegExp( "^" + attributes ), - "PSEUDO": new RegExp( "^" + pseudos ), - "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + whitespace + - "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + whitespace + - "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), - "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), - // For use in libraries implementing .is() - // We use this for POS matching in `select` - "needsContext": new RegExp( "^" + whitespace + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + - whitespace + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) - }, - - rinputs = /^(?:input|select|textarea|button)$/i, - rheader = /^h\d$/i, - - rnative = /^[^{]+\{\s*\[native \w/, - - // Easily-parseable/retrievable ID or TAG or CLASS selectors - rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, - - rsibling = /[+~]/, - - // CSS escapes - // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters - runescape = new RegExp( "\\\\([\\da-f]{1,6}" + whitespace + "?|(" + whitespace + ")|.)", "ig" ), - funescape = function( _, escaped, escapedWhitespace ) { - var high = "0x" + escaped - 0x10000; - // NaN means non-codepoint - // Support: Firefox<24 - // Workaround erroneous numeric interpretation of +"0x" - return high !== high || escapedWhitespace ? - escaped : - high < 0 ? - // BMP codepoint - String.fromCharCode( high + 0x10000 ) : - // Supplemental Plane codepoint (surrogate pair) - String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); - }, - - // CSS string/identifier serialization - // https://drafts.csswg.org/cssom/#common-serializing-idioms - rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g, - fcssescape = function( ch, asCodePoint ) { - if ( asCodePoint ) { - - // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER - if ( ch === "\0" ) { - return "\uFFFD"; - } - - // Control characters and (dependent upon position) numbers get escaped as code points - return ch.slice( 0, -1 ) + "\\" + ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " "; - } - - // Other potentially-special ASCII characters get backslash-escaped - return "\\" + ch; - }, - - // Used for iframes - // See setDocument() - // Removing the function wrapper causes a "Permission Denied" - // error in IE - unloadHandler = function() { - setDocument(); - }, - - disabledAncestor = addCombinator( - function( elem ) { - return elem.disabled === true && ("form" in elem || "label" in elem); - }, - { dir: "parentNode", next: "legend" } - ); - -// Optimize for push.apply( _, NodeList ) -try { - push.apply( - (arr = slice.call( preferredDoc.childNodes )), - preferredDoc.childNodes - ); - // Support: Android<4.0 - // Detect silently failing push.apply - arr[ preferredDoc.childNodes.length ].nodeType; -} catch ( e ) { - push = { apply: arr.length ? - - // Leverage slice if possible - function( target, els ) { - push_native.apply( target, slice.call(els) ); - } : - - // Support: IE<9 - // Otherwise append directly - function( target, els ) { - var j = target.length, - i = 0; - // Can't trust NodeList.length - while ( (target[j++] = els[i++]) ) {} - target.length = j - 1; - } - }; -} - -function Sizzle( selector, context, results, seed ) { - var m, i, elem, nid, match, groups, newSelector, - newContext = context && context.ownerDocument, - - // nodeType defaults to 9, since context defaults to document - nodeType = context ? context.nodeType : 9; - - results = results || []; - - // Return early from calls with invalid selector or context - if ( typeof selector !== "string" || !selector || - nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) { - - return results; - } - - // Try to shortcut find operations (as opposed to filters) in HTML documents - if ( !seed ) { - - if ( ( context ? context.ownerDocument || context : preferredDoc ) !== document ) { - setDocument( context ); - } - context = context || document; - - if ( documentIsHTML ) { - - // If the selector is sufficiently simple, try using a "get*By*" DOM method - // (excepting DocumentFragment context, where the methods don't exist) - if ( nodeType !== 11 && (match = rquickExpr.exec( selector )) ) { - - // ID selector - if ( (m = match[1]) ) { - - // Document context - if ( nodeType === 9 ) { - if ( (elem = context.getElementById( m )) ) { - - // Support: IE, Opera, Webkit - // TODO: identify versions - // getElementById can match elements by name instead of ID - if ( elem.id === m ) { - results.push( elem ); - return results; - } - } else { - return results; - } - - // Element context - } else { - - // Support: IE, Opera, Webkit - // TODO: identify versions - // getElementById can match elements by name instead of ID - if ( newContext && (elem = newContext.getElementById( m )) && - contains( context, elem ) && - elem.id === m ) { - - results.push( elem ); - return results; - } - } - - // Type selector - } else if ( match[2] ) { - push.apply( results, context.getElementsByTagName( selector ) ); - return results; - - // Class selector - } else if ( (m = match[3]) && support.getElementsByClassName && - context.getElementsByClassName ) { - - push.apply( results, context.getElementsByClassName( m ) ); - return results; - } - } - - // Take advantage of querySelectorAll - if ( support.qsa && - !compilerCache[ selector + " " ] && - (!rbuggyQSA || !rbuggyQSA.test( selector )) ) { - - if ( nodeType !== 1 ) { - newContext = context; - newSelector = selector; - - // qSA looks outside Element context, which is not what we want - // Thanks to Andrew Dupont for this workaround technique - // Support: IE <=8 - // Exclude object elements - } else if ( context.nodeName.toLowerCase() !== "object" ) { - - // Capture the context ID, setting it first if necessary - if ( (nid = context.getAttribute( "id" )) ) { - nid = nid.replace( rcssescape, fcssescape ); - } else { - context.setAttribute( "id", (nid = expando) ); - } - - // Prefix every selector in the list - groups = tokenize( selector ); - i = groups.length; - while ( i-- ) { - groups[i] = "#" + nid + " " + toSelector( groups[i] ); - } - newSelector = groups.join( "," ); - - // Expand context for sibling selectors - newContext = rsibling.test( selector ) && testContext( context.parentNode ) || - context; - } - - if ( newSelector ) { - try { - push.apply( results, - newContext.querySelectorAll( newSelector ) - ); - return results; - } catch ( qsaError ) { - } finally { - if ( nid === expando ) { - context.removeAttribute( "id" ); - } - } - } - } - } - } - - // All others - return select( selector.replace( rtrim, "$1" ), context, results, seed ); -} - -/** - * Create key-value caches of limited size - * @returns {function(string, object)} Returns the Object data after storing it on itself with - * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) - * deleting the oldest entry - */ -function createCache() { - var keys = []; - - function cache( key, value ) { - // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) - if ( keys.push( key + " " ) > Expr.cacheLength ) { - // Only keep the most recent entries - delete cache[ keys.shift() ]; - } - return (cache[ key + " " ] = value); - } - return cache; -} - -/** - * Mark a function for special use by Sizzle - * @param {Function} fn The function to mark - */ -function markFunction( fn ) { - fn[ expando ] = true; - return fn; -} - -/** - * Support testing using an element - * @param {Function} fn Passed the created element and returns a boolean result - */ -function assert( fn ) { - var el = document.createElement("fieldset"); - - try { - return !!fn( el ); - } catch (e) { - return false; - } finally { - // Remove from its parent by default - if ( el.parentNode ) { - el.parentNode.removeChild( el ); - } - // release memory in IE - el = null; - } -} - -/** - * Adds the same handler for all of the specified attrs - * @param {String} attrs Pipe-separated list of attributes - * @param {Function} handler The method that will be applied - */ -function addHandle( attrs, handler ) { - var arr = attrs.split("|"), - i = arr.length; - - while ( i-- ) { - Expr.attrHandle[ arr[i] ] = handler; - } -} - -/** - * Checks document order of two siblings - * @param {Element} a - * @param {Element} b - * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b - */ -function siblingCheck( a, b ) { - var cur = b && a, - diff = cur && a.nodeType === 1 && b.nodeType === 1 && - a.sourceIndex - b.sourceIndex; - - // Use IE sourceIndex if available on both nodes - if ( diff ) { - return diff; - } - - // Check if b follows a - if ( cur ) { - while ( (cur = cur.nextSibling) ) { - if ( cur === b ) { - return -1; - } - } - } - - return a ? 1 : -1; -} - -/** - * Returns a function to use in pseudos for input types - * @param {String} type - */ -function createInputPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for buttons - * @param {String} type - */ -function createButtonPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return (name === "input" || name === "button") && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for :enabled/:disabled - * @param {Boolean} disabled true for :disabled; false for :enabled - */ -function createDisabledPseudo( disabled ) { - - // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable - return function( elem ) { - - // Only certain elements can match :enabled or :disabled - // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled - // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled - if ( "form" in elem ) { - - // Check for inherited disabledness on relevant non-disabled elements: - // * listed form-associated elements in a disabled fieldset - // https://html.spec.whatwg.org/multipage/forms.html#category-listed - // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled - // * option elements in a disabled optgroup - // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled - // All such elements have a "form" property. - if ( elem.parentNode && elem.disabled === false ) { - - // Option elements defer to a parent optgroup if present - if ( "label" in elem ) { - if ( "label" in elem.parentNode ) { - return elem.parentNode.disabled === disabled; - } else { - return elem.disabled === disabled; - } - } - - // Support: IE 6 - 11 - // Use the isDisabled shortcut property to check for disabled fieldset ancestors - return elem.isDisabled === disabled || - - // Where there is no isDisabled, check manually - /* jshint -W018 */ - elem.isDisabled !== !disabled && - disabledAncestor( elem ) === disabled; - } - - return elem.disabled === disabled; - - // Try to winnow out elements that can't be disabled before trusting the disabled property. - // Some victims get caught in our net (label, legend, menu, track), but it shouldn't - // even exist on them, let alone have a boolean value. - } else if ( "label" in elem ) { - return elem.disabled === disabled; - } - - // Remaining elements are neither :enabled nor :disabled - return false; - }; -} - -/** - * Returns a function to use in pseudos for positionals - * @param {Function} fn - */ -function createPositionalPseudo( fn ) { - return markFunction(function( argument ) { - argument = +argument; - return markFunction(function( seed, matches ) { - var j, - matchIndexes = fn( [], seed.length, argument ), - i = matchIndexes.length; - - // Match elements found at the specified indexes - while ( i-- ) { - if ( seed[ (j = matchIndexes[i]) ] ) { - seed[j] = !(matches[j] = seed[j]); - } - } - }); - }); -} - -/** - * Checks a node for validity as a Sizzle context - * @param {Element|Object=} context - * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value - */ -function testContext( context ) { - return context && typeof context.getElementsByTagName !== "undefined" && context; -} - -// Expose support vars for convenience -support = Sizzle.support = {}; - -/** - * Detects XML nodes - * @param {Element|Object} elem An element or a document - * @returns {Boolean} True iff elem is a non-HTML XML node - */ -isXML = Sizzle.isXML = function( elem ) { - // documentElement is verified for cases where it doesn't yet exist - // (such as loading iframes in IE - #4833) - var documentElement = elem && (elem.ownerDocument || elem).documentElement; - return documentElement ? documentElement.nodeName !== "HTML" : false; -}; - -/** - * Sets document-related variables once based on the current document - * @param {Element|Object} [doc] An element or document object to use to set the document - * @returns {Object} Returns the current document - */ -setDocument = Sizzle.setDocument = function( node ) { - var hasCompare, subWindow, - doc = node ? node.ownerDocument || node : preferredDoc; - - // Return early if doc is invalid or already selected - if ( doc === document || doc.nodeType !== 9 || !doc.documentElement ) { - return document; - } - - // Update global variables - document = doc; - docElem = document.documentElement; - documentIsHTML = !isXML( document ); - - // Support: IE 9-11, Edge - // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936) - if ( preferredDoc !== document && - (subWindow = document.defaultView) && subWindow.top !== subWindow ) { - - // Support: IE 11, Edge - if ( subWindow.addEventListener ) { - subWindow.addEventListener( "unload", unloadHandler, false ); - - // Support: IE 9 - 10 only - } else if ( subWindow.attachEvent ) { - subWindow.attachEvent( "onunload", unloadHandler ); - } - } - - /* Attributes - ---------------------------------------------------------------------- */ - - // Support: IE<8 - // Verify that getAttribute really returns attributes and not properties - // (excepting IE8 booleans) - support.attributes = assert(function( el ) { - el.className = "i"; - return !el.getAttribute("className"); - }); - - /* getElement(s)By* - ---------------------------------------------------------------------- */ - - // Check if getElementsByTagName("*") returns only elements - support.getElementsByTagName = assert(function( el ) { - el.appendChild( document.createComment("") ); - return !el.getElementsByTagName("*").length; - }); - - // Support: IE<9 - support.getElementsByClassName = rnative.test( document.getElementsByClassName ); - - // Support: IE<10 - // Check if getElementById returns elements by name - // The broken getElementById methods don't pick up programmatically-set names, - // so use a roundabout getElementsByName test - support.getById = assert(function( el ) { - docElem.appendChild( el ).id = expando; - return !document.getElementsByName || !document.getElementsByName( expando ).length; - }); - - // ID filter and find - if ( support.getById ) { - Expr.filter["ID"] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - return elem.getAttribute("id") === attrId; - }; - }; - Expr.find["ID"] = function( id, context ) { - if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { - var elem = context.getElementById( id ); - return elem ? [ elem ] : []; - } - }; - } else { - Expr.filter["ID"] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - var node = typeof elem.getAttributeNode !== "undefined" && - elem.getAttributeNode("id"); - return node && node.value === attrId; - }; - }; - - // Support: IE 6 - 7 only - // getElementById is not reliable as a find shortcut - Expr.find["ID"] = function( id, context ) { - if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { - var node, i, elems, - elem = context.getElementById( id ); - - if ( elem ) { - - // Verify the id attribute - node = elem.getAttributeNode("id"); - if ( node && node.value === id ) { - return [ elem ]; - } - - // Fall back on getElementsByName - elems = context.getElementsByName( id ); - i = 0; - while ( (elem = elems[i++]) ) { - node = elem.getAttributeNode("id"); - if ( node && node.value === id ) { - return [ elem ]; - } - } - } - - return []; - } - }; - } - - // Tag - Expr.find["TAG"] = support.getElementsByTagName ? - function( tag, context ) { - if ( typeof context.getElementsByTagName !== "undefined" ) { - return context.getElementsByTagName( tag ); - - // DocumentFragment nodes don't have gEBTN - } else if ( support.qsa ) { - return context.querySelectorAll( tag ); - } - } : - - function( tag, context ) { - var elem, - tmp = [], - i = 0, - // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too - results = context.getElementsByTagName( tag ); - - // Filter out possible comments - if ( tag === "*" ) { - while ( (elem = results[i++]) ) { - if ( elem.nodeType === 1 ) { - tmp.push( elem ); - } - } - - return tmp; - } - return results; - }; - - // Class - Expr.find["CLASS"] = support.getElementsByClassName && function( className, context ) { - if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) { - return context.getElementsByClassName( className ); - } - }; - - /* QSA/matchesSelector - ---------------------------------------------------------------------- */ - - // QSA and matchesSelector support - - // matchesSelector(:active) reports false when true (IE9/Opera 11.5) - rbuggyMatches = []; - - // qSa(:focus) reports false when true (Chrome 21) - // We allow this because of a bug in IE8/9 that throws an error - // whenever `document.activeElement` is accessed on an iframe - // So, we allow :focus to pass through QSA all the time to avoid the IE error - // See https://bugs.jquery.com/ticket/13378 - rbuggyQSA = []; - - if ( (support.qsa = rnative.test( document.querySelectorAll )) ) { - // Build QSA regex - // Regex strategy adopted from Diego Perini - assert(function( el ) { - // Select is set to empty string on purpose - // This is to test IE's treatment of not explicitly - // setting a boolean content attribute, - // since its presence should be enough - // https://bugs.jquery.com/ticket/12359 - docElem.appendChild( el ).innerHTML = "" + - ""; - - // Support: IE8, Opera 11-12.16 - // Nothing should be selected when empty strings follow ^= or $= or *= - // The test attribute must be unknown in Opera but "safe" for WinRT - // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section - if ( el.querySelectorAll("[msallowcapture^='']").length ) { - rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); - } - - // Support: IE8 - // Boolean attributes and "value" are not treated correctly - if ( !el.querySelectorAll("[selected]").length ) { - rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); - } - - // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+ - if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) { - rbuggyQSA.push("~="); - } - - // Webkit/Opera - :checked should return selected option elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - // IE8 throws error here and will not see later tests - if ( !el.querySelectorAll(":checked").length ) { - rbuggyQSA.push(":checked"); - } - - // Support: Safari 8+, iOS 8+ - // https://bugs.webkit.org/show_bug.cgi?id=136851 - // In-page `selector#id sibling-combinator selector` fails - if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) { - rbuggyQSA.push(".#.+[+~]"); - } - }); - - assert(function( el ) { - el.innerHTML = "" + - ""; - - // Support: Windows 8 Native Apps - // The type and name attributes are restricted during .innerHTML assignment - var input = document.createElement("input"); - input.setAttribute( "type", "hidden" ); - el.appendChild( input ).setAttribute( "name", "D" ); - - // Support: IE8 - // Enforce case-sensitivity of name attribute - if ( el.querySelectorAll("[name=d]").length ) { - rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); - } - - // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) - // IE8 throws error here and will not see later tests - if ( el.querySelectorAll(":enabled").length !== 2 ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Support: IE9-11+ - // IE's :disabled selector does not pick up the children of disabled fieldsets - docElem.appendChild( el ).disabled = true; - if ( el.querySelectorAll(":disabled").length !== 2 ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Opera 10-11 does not throw on post-comma invalid pseudos - el.querySelectorAll("*,:x"); - rbuggyQSA.push(",.*:"); - }); - } - - if ( (support.matchesSelector = rnative.test( (matches = docElem.matches || - docElem.webkitMatchesSelector || - docElem.mozMatchesSelector || - docElem.oMatchesSelector || - docElem.msMatchesSelector) )) ) { - - assert(function( el ) { - // Check to see if it's possible to do matchesSelector - // on a disconnected node (IE 9) - support.disconnectedMatch = matches.call( el, "*" ); - - // This should fail with an exception - // Gecko does not error, returns false instead - matches.call( el, "[s!='']:x" ); - rbuggyMatches.push( "!=", pseudos ); - }); - } - - rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join("|") ); - rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join("|") ); - - /* Contains - ---------------------------------------------------------------------- */ - hasCompare = rnative.test( docElem.compareDocumentPosition ); - - // Element contains another - // Purposefully self-exclusive - // As in, an element does not contain itself - contains = hasCompare || rnative.test( docElem.contains ) ? - function( a, b ) { - var adown = a.nodeType === 9 ? a.documentElement : a, - bup = b && b.parentNode; - return a === bup || !!( bup && bup.nodeType === 1 && ( - adown.contains ? - adown.contains( bup ) : - a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 - )); - } : - function( a, b ) { - if ( b ) { - while ( (b = b.parentNode) ) { - if ( b === a ) { - return true; - } - } - } - return false; - }; - - /* Sorting - ---------------------------------------------------------------------- */ - - // Document order sorting - sortOrder = hasCompare ? - function( a, b ) { - - // Flag for duplicate removal - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - // Sort on method existence if only one input has compareDocumentPosition - var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; - if ( compare ) { - return compare; - } - - // Calculate position if both inputs belong to the same document - compare = ( a.ownerDocument || a ) === ( b.ownerDocument || b ) ? - a.compareDocumentPosition( b ) : - - // Otherwise we know they are disconnected - 1; - - // Disconnected nodes - if ( compare & 1 || - (!support.sortDetached && b.compareDocumentPosition( a ) === compare) ) { - - // Choose the first element that is related to our preferred document - if ( a === document || a.ownerDocument === preferredDoc && contains(preferredDoc, a) ) { - return -1; - } - if ( b === document || b.ownerDocument === preferredDoc && contains(preferredDoc, b) ) { - return 1; - } - - // Maintain original order - return sortInput ? - ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : - 0; - } - - return compare & 4 ? -1 : 1; - } : - function( a, b ) { - // Exit early if the nodes are identical - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - var cur, - i = 0, - aup = a.parentNode, - bup = b.parentNode, - ap = [ a ], - bp = [ b ]; - - // Parentless nodes are either documents or disconnected - if ( !aup || !bup ) { - return a === document ? -1 : - b === document ? 1 : - aup ? -1 : - bup ? 1 : - sortInput ? - ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : - 0; - - // If the nodes are siblings, we can do a quick check - } else if ( aup === bup ) { - return siblingCheck( a, b ); - } - - // Otherwise we need full lists of their ancestors for comparison - cur = a; - while ( (cur = cur.parentNode) ) { - ap.unshift( cur ); - } - cur = b; - while ( (cur = cur.parentNode) ) { - bp.unshift( cur ); - } - - // Walk down the tree looking for a discrepancy - while ( ap[i] === bp[i] ) { - i++; - } - - return i ? - // Do a sibling check if the nodes have a common ancestor - siblingCheck( ap[i], bp[i] ) : - - // Otherwise nodes in our document sort first - ap[i] === preferredDoc ? -1 : - bp[i] === preferredDoc ? 1 : - 0; - }; - - return document; -}; - -Sizzle.matches = function( expr, elements ) { - return Sizzle( expr, null, null, elements ); -}; - -Sizzle.matchesSelector = function( elem, expr ) { - // Set document vars if needed - if ( ( elem.ownerDocument || elem ) !== document ) { - setDocument( elem ); - } - - // Make sure that attribute selectors are quoted - expr = expr.replace( rattributeQuotes, "='$1']" ); - - if ( support.matchesSelector && documentIsHTML && - !compilerCache[ expr + " " ] && - ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && - ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { - - try { - var ret = matches.call( elem, expr ); - - // IE 9's matchesSelector returns false on disconnected nodes - if ( ret || support.disconnectedMatch || - // As well, disconnected nodes are said to be in a document - // fragment in IE 9 - elem.document && elem.document.nodeType !== 11 ) { - return ret; - } - } catch (e) {} - } - - return Sizzle( expr, document, null, [ elem ] ).length > 0; -}; - -Sizzle.contains = function( context, elem ) { - // Set document vars if needed - if ( ( context.ownerDocument || context ) !== document ) { - setDocument( context ); - } - return contains( context, elem ); -}; - -Sizzle.attr = function( elem, name ) { - // Set document vars if needed - if ( ( elem.ownerDocument || elem ) !== document ) { - setDocument( elem ); - } - - var fn = Expr.attrHandle[ name.toLowerCase() ], - // Don't get fooled by Object.prototype properties (jQuery #13807) - val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? - fn( elem, name, !documentIsHTML ) : - undefined; - - return val !== undefined ? - val : - support.attributes || !documentIsHTML ? - elem.getAttribute( name ) : - (val = elem.getAttributeNode(name)) && val.specified ? - val.value : - null; -}; - -Sizzle.escape = function( sel ) { - return (sel + "").replace( rcssescape, fcssescape ); -}; - -Sizzle.error = function( msg ) { - throw new Error( "Syntax error, unrecognized expression: " + msg ); -}; - -/** - * Document sorting and removing duplicates - * @param {ArrayLike} results - */ -Sizzle.uniqueSort = function( results ) { - var elem, - duplicates = [], - j = 0, - i = 0; - - // Unless we *know* we can detect duplicates, assume their presence - hasDuplicate = !support.detectDuplicates; - sortInput = !support.sortStable && results.slice( 0 ); - results.sort( sortOrder ); - - if ( hasDuplicate ) { - while ( (elem = results[i++]) ) { - if ( elem === results[ i ] ) { - j = duplicates.push( i ); - } - } - while ( j-- ) { - results.splice( duplicates[ j ], 1 ); - } - } - - // Clear input after sorting to release objects - // See https://github.com/jquery/sizzle/pull/225 - sortInput = null; - - return results; -}; - -/** - * Utility function for retrieving the text value of an array of DOM nodes - * @param {Array|Element} elem - */ -getText = Sizzle.getText = function( elem ) { - var node, - ret = "", - i = 0, - nodeType = elem.nodeType; - - if ( !nodeType ) { - // If no nodeType, this is expected to be an array - while ( (node = elem[i++]) ) { - // Do not traverse comment nodes - ret += getText( node ); - } - } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { - // Use textContent for elements - // innerText usage removed for consistency of new lines (jQuery #11153) - if ( typeof elem.textContent === "string" ) { - return elem.textContent; - } else { - // Traverse its children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - ret += getText( elem ); - } - } - } else if ( nodeType === 3 || nodeType === 4 ) { - return elem.nodeValue; - } - // Do not include comment or processing instruction nodes - - return ret; -}; - -Expr = Sizzle.selectors = { - - // Can be adjusted by the user - cacheLength: 50, - - createPseudo: markFunction, - - match: matchExpr, - - attrHandle: {}, - - find: {}, - - relative: { - ">": { dir: "parentNode", first: true }, - " ": { dir: "parentNode" }, - "+": { dir: "previousSibling", first: true }, - "~": { dir: "previousSibling" } - }, - - preFilter: { - "ATTR": function( match ) { - match[1] = match[1].replace( runescape, funescape ); - - // Move the given value to match[3] whether quoted or unquoted - match[3] = ( match[3] || match[4] || match[5] || "" ).replace( runescape, funescape ); - - if ( match[2] === "~=" ) { - match[3] = " " + match[3] + " "; - } - - return match.slice( 0, 4 ); - }, - - "CHILD": function( match ) { - /* matches from matchExpr["CHILD"] - 1 type (only|nth|...) - 2 what (child|of-type) - 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) - 4 xn-component of xn+y argument ([+-]?\d*n|) - 5 sign of xn-component - 6 x of xn-component - 7 sign of y-component - 8 y of y-component - */ - match[1] = match[1].toLowerCase(); - - if ( match[1].slice( 0, 3 ) === "nth" ) { - // nth-* requires argument - if ( !match[3] ) { - Sizzle.error( match[0] ); - } - - // numeric x and y parameters for Expr.filter.CHILD - // remember that false/true cast respectively to 0/1 - match[4] = +( match[4] ? match[5] + (match[6] || 1) : 2 * ( match[3] === "even" || match[3] === "odd" ) ); - match[5] = +( ( match[7] + match[8] ) || match[3] === "odd" ); - - // other types prohibit arguments - } else if ( match[3] ) { - Sizzle.error( match[0] ); - } - - return match; - }, - - "PSEUDO": function( match ) { - var excess, - unquoted = !match[6] && match[2]; - - if ( matchExpr["CHILD"].test( match[0] ) ) { - return null; - } - - // Accept quoted arguments as-is - if ( match[3] ) { - match[2] = match[4] || match[5] || ""; - - // Strip excess characters from unquoted arguments - } else if ( unquoted && rpseudo.test( unquoted ) && - // Get excess from tokenize (recursively) - (excess = tokenize( unquoted, true )) && - // advance to the next closing parenthesis - (excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length) ) { - - // excess is a negative index - match[0] = match[0].slice( 0, excess ); - match[2] = unquoted.slice( 0, excess ); - } - - // Return only captures needed by the pseudo filter method (type and argument) - return match.slice( 0, 3 ); - } - }, - - filter: { - - "TAG": function( nodeNameSelector ) { - var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); - return nodeNameSelector === "*" ? - function() { return true; } : - function( elem ) { - return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; - }; - }, - - "CLASS": function( className ) { - var pattern = classCache[ className + " " ]; - - return pattern || - (pattern = new RegExp( "(^|" + whitespace + ")" + className + "(" + whitespace + "|$)" )) && - classCache( className, function( elem ) { - return pattern.test( typeof elem.className === "string" && elem.className || typeof elem.getAttribute !== "undefined" && elem.getAttribute("class") || "" ); - }); - }, - - "ATTR": function( name, operator, check ) { - return function( elem ) { - var result = Sizzle.attr( elem, name ); - - if ( result == null ) { - return operator === "!="; - } - if ( !operator ) { - return true; - } - - result += ""; - - return operator === "=" ? result === check : - operator === "!=" ? result !== check : - operator === "^=" ? check && result.indexOf( check ) === 0 : - operator === "*=" ? check && result.indexOf( check ) > -1 : - operator === "$=" ? check && result.slice( -check.length ) === check : - operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 : - operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : - false; - }; - }, - - "CHILD": function( type, what, argument, first, last ) { - var simple = type.slice( 0, 3 ) !== "nth", - forward = type.slice( -4 ) !== "last", - ofType = what === "of-type"; - - return first === 1 && last === 0 ? - - // Shortcut for :nth-*(n) - function( elem ) { - return !!elem.parentNode; - } : - - function( elem, context, xml ) { - var cache, uniqueCache, outerCache, node, nodeIndex, start, - dir = simple !== forward ? "nextSibling" : "previousSibling", - parent = elem.parentNode, - name = ofType && elem.nodeName.toLowerCase(), - useCache = !xml && !ofType, - diff = false; - - if ( parent ) { - - // :(first|last|only)-(child|of-type) - if ( simple ) { - while ( dir ) { - node = elem; - while ( (node = node[ dir ]) ) { - if ( ofType ? - node.nodeName.toLowerCase() === name : - node.nodeType === 1 ) { - - return false; - } - } - // Reverse direction for :only-* (if we haven't yet done so) - start = dir = type === "only" && !start && "nextSibling"; - } - return true; - } - - start = [ forward ? parent.firstChild : parent.lastChild ]; - - // non-xml :nth-child(...) stores cache data on `parent` - if ( forward && useCache ) { - - // Seek `elem` from a previously-cached index - - // ...in a gzip-friendly way - node = parent; - outerCache = node[ expando ] || (node[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - (outerCache[ node.uniqueID ] = {}); - - cache = uniqueCache[ type ] || []; - nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; - diff = nodeIndex && cache[ 2 ]; - node = nodeIndex && parent.childNodes[ nodeIndex ]; - - while ( (node = ++nodeIndex && node && node[ dir ] || - - // Fallback to seeking `elem` from the start - (diff = nodeIndex = 0) || start.pop()) ) { - - // When found, cache indexes on `parent` and break - if ( node.nodeType === 1 && ++diff && node === elem ) { - uniqueCache[ type ] = [ dirruns, nodeIndex, diff ]; - break; - } - } - - } else { - // Use previously-cached element index if available - if ( useCache ) { - // ...in a gzip-friendly way - node = elem; - outerCache = node[ expando ] || (node[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - (outerCache[ node.uniqueID ] = {}); - - cache = uniqueCache[ type ] || []; - nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; - diff = nodeIndex; - } - - // xml :nth-child(...) - // or :nth-last-child(...) or :nth(-last)?-of-type(...) - if ( diff === false ) { - // Use the same loop as above to seek `elem` from the start - while ( (node = ++nodeIndex && node && node[ dir ] || - (diff = nodeIndex = 0) || start.pop()) ) { - - if ( ( ofType ? - node.nodeName.toLowerCase() === name : - node.nodeType === 1 ) && - ++diff ) { - - // Cache the index of each encountered element - if ( useCache ) { - outerCache = node[ expando ] || (node[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - (outerCache[ node.uniqueID ] = {}); - - uniqueCache[ type ] = [ dirruns, diff ]; - } - - if ( node === elem ) { - break; - } - } - } - } - } - - // Incorporate the offset, then check against cycle size - diff -= last; - return diff === first || ( diff % first === 0 && diff / first >= 0 ); - } - }; - }, - - "PSEUDO": function( pseudo, argument ) { - // pseudo-class names are case-insensitive - // http://www.w3.org/TR/selectors/#pseudo-classes - // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters - // Remember that setFilters inherits from pseudos - var args, - fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || - Sizzle.error( "unsupported pseudo: " + pseudo ); - - // The user may use createPseudo to indicate that - // arguments are needed to create the filter function - // just as Sizzle does - if ( fn[ expando ] ) { - return fn( argument ); - } - - // But maintain support for old signatures - if ( fn.length > 1 ) { - args = [ pseudo, pseudo, "", argument ]; - return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? - markFunction(function( seed, matches ) { - var idx, - matched = fn( seed, argument ), - i = matched.length; - while ( i-- ) { - idx = indexOf( seed, matched[i] ); - seed[ idx ] = !( matches[ idx ] = matched[i] ); - } - }) : - function( elem ) { - return fn( elem, 0, args ); - }; - } - - return fn; - } - }, - - pseudos: { - // Potentially complex pseudos - "not": markFunction(function( selector ) { - // Trim the selector passed to compile - // to avoid treating leading and trailing - // spaces as combinators - var input = [], - results = [], - matcher = compile( selector.replace( rtrim, "$1" ) ); - - return matcher[ expando ] ? - markFunction(function( seed, matches, context, xml ) { - var elem, - unmatched = matcher( seed, null, xml, [] ), - i = seed.length; - - // Match elements unmatched by `matcher` - while ( i-- ) { - if ( (elem = unmatched[i]) ) { - seed[i] = !(matches[i] = elem); - } - } - }) : - function( elem, context, xml ) { - input[0] = elem; - matcher( input, null, xml, results ); - // Don't keep the element (issue #299) - input[0] = null; - return !results.pop(); - }; - }), - - "has": markFunction(function( selector ) { - return function( elem ) { - return Sizzle( selector, elem ).length > 0; - }; - }), - - "contains": markFunction(function( text ) { - text = text.replace( runescape, funescape ); - return function( elem ) { - return ( elem.textContent || elem.innerText || getText( elem ) ).indexOf( text ) > -1; - }; - }), - - // "Whether an element is represented by a :lang() selector - // is based solely on the element's language value - // being equal to the identifier C, - // or beginning with the identifier C immediately followed by "-". - // The matching of C against the element's language value is performed case-insensitively. - // The identifier C does not have to be a valid language name." - // http://www.w3.org/TR/selectors/#lang-pseudo - "lang": markFunction( function( lang ) { - // lang value must be a valid identifier - if ( !ridentifier.test(lang || "") ) { - Sizzle.error( "unsupported lang: " + lang ); - } - lang = lang.replace( runescape, funescape ).toLowerCase(); - return function( elem ) { - var elemLang; - do { - if ( (elemLang = documentIsHTML ? - elem.lang : - elem.getAttribute("xml:lang") || elem.getAttribute("lang")) ) { - - elemLang = elemLang.toLowerCase(); - return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; - } - } while ( (elem = elem.parentNode) && elem.nodeType === 1 ); - return false; - }; - }), - - // Miscellaneous - "target": function( elem ) { - var hash = window.location && window.location.hash; - return hash && hash.slice( 1 ) === elem.id; - }, - - "root": function( elem ) { - return elem === docElem; - }, - - "focus": function( elem ) { - return elem === document.activeElement && (!document.hasFocus || document.hasFocus()) && !!(elem.type || elem.href || ~elem.tabIndex); - }, - - // Boolean properties - "enabled": createDisabledPseudo( false ), - "disabled": createDisabledPseudo( true ), - - "checked": function( elem ) { - // In CSS3, :checked should return both checked and selected elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - var nodeName = elem.nodeName.toLowerCase(); - return (nodeName === "input" && !!elem.checked) || (nodeName === "option" && !!elem.selected); - }, - - "selected": function( elem ) { - // Accessing this property makes selected-by-default - // options in Safari work properly - if ( elem.parentNode ) { - elem.parentNode.selectedIndex; - } - - return elem.selected === true; - }, - - // Contents - "empty": function( elem ) { - // http://www.w3.org/TR/selectors/#empty-pseudo - // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), - // but not by others (comment: 8; processing instruction: 7; etc.) - // nodeType < 6 works because attributes (2) do not appear as children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - if ( elem.nodeType < 6 ) { - return false; - } - } - return true; - }, - - "parent": function( elem ) { - return !Expr.pseudos["empty"]( elem ); - }, - - // Element/input types - "header": function( elem ) { - return rheader.test( elem.nodeName ); - }, - - "input": function( elem ) { - return rinputs.test( elem.nodeName ); - }, - - "button": function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === "button" || name === "button"; - }, - - "text": function( elem ) { - var attr; - return elem.nodeName.toLowerCase() === "input" && - elem.type === "text" && - - // Support: IE<8 - // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" - ( (attr = elem.getAttribute("type")) == null || attr.toLowerCase() === "text" ); - }, - - // Position-in-collection - "first": createPositionalPseudo(function() { - return [ 0 ]; - }), - - "last": createPositionalPseudo(function( matchIndexes, length ) { - return [ length - 1 ]; - }), - - "eq": createPositionalPseudo(function( matchIndexes, length, argument ) { - return [ argument < 0 ? argument + length : argument ]; - }), - - "even": createPositionalPseudo(function( matchIndexes, length ) { - var i = 0; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "odd": createPositionalPseudo(function( matchIndexes, length ) { - var i = 1; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "lt": createPositionalPseudo(function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; --i >= 0; ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "gt": createPositionalPseudo(function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; ++i < length; ) { - matchIndexes.push( i ); - } - return matchIndexes; - }) - } -}; - -Expr.pseudos["nth"] = Expr.pseudos["eq"]; - -// Add button/input type pseudos -for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { - Expr.pseudos[ i ] = createInputPseudo( i ); -} -for ( i in { submit: true, reset: true } ) { - Expr.pseudos[ i ] = createButtonPseudo( i ); -} - -// Easy API for creating new setFilters -function setFilters() {} -setFilters.prototype = Expr.filters = Expr.pseudos; -Expr.setFilters = new setFilters(); - -tokenize = Sizzle.tokenize = function( selector, parseOnly ) { - var matched, match, tokens, type, - soFar, groups, preFilters, - cached = tokenCache[ selector + " " ]; - - if ( cached ) { - return parseOnly ? 0 : cached.slice( 0 ); - } - - soFar = selector; - groups = []; - preFilters = Expr.preFilter; - - while ( soFar ) { - - // Comma and first run - if ( !matched || (match = rcomma.exec( soFar )) ) { - if ( match ) { - // Don't consume trailing commas as valid - soFar = soFar.slice( match[0].length ) || soFar; - } - groups.push( (tokens = []) ); - } - - matched = false; - - // Combinators - if ( (match = rcombinators.exec( soFar )) ) { - matched = match.shift(); - tokens.push({ - value: matched, - // Cast descendant combinators to space - type: match[0].replace( rtrim, " " ) - }); - soFar = soFar.slice( matched.length ); - } - - // Filters - for ( type in Expr.filter ) { - if ( (match = matchExpr[ type ].exec( soFar )) && (!preFilters[ type ] || - (match = preFilters[ type ]( match ))) ) { - matched = match.shift(); - tokens.push({ - value: matched, - type: type, - matches: match - }); - soFar = soFar.slice( matched.length ); - } - } - - if ( !matched ) { - break; - } - } - - // Return the length of the invalid excess - // if we're just parsing - // Otherwise, throw an error or return tokens - return parseOnly ? - soFar.length : - soFar ? - Sizzle.error( selector ) : - // Cache the tokens - tokenCache( selector, groups ).slice( 0 ); -}; - -function toSelector( tokens ) { - var i = 0, - len = tokens.length, - selector = ""; - for ( ; i < len; i++ ) { - selector += tokens[i].value; - } - return selector; -} - -function addCombinator( matcher, combinator, base ) { - var dir = combinator.dir, - skip = combinator.next, - key = skip || dir, - checkNonElements = base && key === "parentNode", - doneName = done++; - - return combinator.first ? - // Check against closest ancestor/preceding element - function( elem, context, xml ) { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - return matcher( elem, context, xml ); - } - } - return false; - } : - - // Check against all ancestor/preceding elements - function( elem, context, xml ) { - var oldCache, uniqueCache, outerCache, - newCache = [ dirruns, doneName ]; - - // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching - if ( xml ) { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - if ( matcher( elem, context, xml ) ) { - return true; - } - } - } - } else { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - outerCache = elem[ expando ] || (elem[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ elem.uniqueID ] || (outerCache[ elem.uniqueID ] = {}); - - if ( skip && skip === elem.nodeName.toLowerCase() ) { - elem = elem[ dir ] || elem; - } else if ( (oldCache = uniqueCache[ key ]) && - oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { - - // Assign to newCache so results back-propagate to previous elements - return (newCache[ 2 ] = oldCache[ 2 ]); - } else { - // Reuse newcache so results back-propagate to previous elements - uniqueCache[ key ] = newCache; - - // A match means we're done; a fail means we have to keep checking - if ( (newCache[ 2 ] = matcher( elem, context, xml )) ) { - return true; - } - } - } - } - } - return false; - }; -} - -function elementMatcher( matchers ) { - return matchers.length > 1 ? - function( elem, context, xml ) { - var i = matchers.length; - while ( i-- ) { - if ( !matchers[i]( elem, context, xml ) ) { - return false; - } - } - return true; - } : - matchers[0]; -} - -function multipleContexts( selector, contexts, results ) { - var i = 0, - len = contexts.length; - for ( ; i < len; i++ ) { - Sizzle( selector, contexts[i], results ); - } - return results; -} - -function condense( unmatched, map, filter, context, xml ) { - var elem, - newUnmatched = [], - i = 0, - len = unmatched.length, - mapped = map != null; - - for ( ; i < len; i++ ) { - if ( (elem = unmatched[i]) ) { - if ( !filter || filter( elem, context, xml ) ) { - newUnmatched.push( elem ); - if ( mapped ) { - map.push( i ); - } - } - } - } - - return newUnmatched; -} - -function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { - if ( postFilter && !postFilter[ expando ] ) { - postFilter = setMatcher( postFilter ); - } - if ( postFinder && !postFinder[ expando ] ) { - postFinder = setMatcher( postFinder, postSelector ); - } - return markFunction(function( seed, results, context, xml ) { - var temp, i, elem, - preMap = [], - postMap = [], - preexisting = results.length, - - // Get initial elements from seed or context - elems = seed || multipleContexts( selector || "*", context.nodeType ? [ context ] : context, [] ), - - // Prefilter to get matcher input, preserving a map for seed-results synchronization - matcherIn = preFilter && ( seed || !selector ) ? - condense( elems, preMap, preFilter, context, xml ) : - elems, - - matcherOut = matcher ? - // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, - postFinder || ( seed ? preFilter : preexisting || postFilter ) ? - - // ...intermediate processing is necessary - [] : - - // ...otherwise use results directly - results : - matcherIn; - - // Find primary matches - if ( matcher ) { - matcher( matcherIn, matcherOut, context, xml ); - } - - // Apply postFilter - if ( postFilter ) { - temp = condense( matcherOut, postMap ); - postFilter( temp, [], context, xml ); - - // Un-match failing elements by moving them back to matcherIn - i = temp.length; - while ( i-- ) { - if ( (elem = temp[i]) ) { - matcherOut[ postMap[i] ] = !(matcherIn[ postMap[i] ] = elem); - } - } - } - - if ( seed ) { - if ( postFinder || preFilter ) { - if ( postFinder ) { - // Get the final matcherOut by condensing this intermediate into postFinder contexts - temp = []; - i = matcherOut.length; - while ( i-- ) { - if ( (elem = matcherOut[i]) ) { - // Restore matcherIn since elem is not yet a final match - temp.push( (matcherIn[i] = elem) ); - } - } - postFinder( null, (matcherOut = []), temp, xml ); - } - - // Move matched elements from seed to results to keep them synchronized - i = matcherOut.length; - while ( i-- ) { - if ( (elem = matcherOut[i]) && - (temp = postFinder ? indexOf( seed, elem ) : preMap[i]) > -1 ) { - - seed[temp] = !(results[temp] = elem); - } - } - } - - // Add elements to results, through postFinder if defined - } else { - matcherOut = condense( - matcherOut === results ? - matcherOut.splice( preexisting, matcherOut.length ) : - matcherOut - ); - if ( postFinder ) { - postFinder( null, results, matcherOut, xml ); - } else { - push.apply( results, matcherOut ); - } - } - }); -} - -function matcherFromTokens( tokens ) { - var checkContext, matcher, j, - len = tokens.length, - leadingRelative = Expr.relative[ tokens[0].type ], - implicitRelative = leadingRelative || Expr.relative[" "], - i = leadingRelative ? 1 : 0, - - // The foundational matcher ensures that elements are reachable from top-level context(s) - matchContext = addCombinator( function( elem ) { - return elem === checkContext; - }, implicitRelative, true ), - matchAnyContext = addCombinator( function( elem ) { - return indexOf( checkContext, elem ) > -1; - }, implicitRelative, true ), - matchers = [ function( elem, context, xml ) { - var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( - (checkContext = context).nodeType ? - matchContext( elem, context, xml ) : - matchAnyContext( elem, context, xml ) ); - // Avoid hanging onto element (issue #299) - checkContext = null; - return ret; - } ]; - - for ( ; i < len; i++ ) { - if ( (matcher = Expr.relative[ tokens[i].type ]) ) { - matchers = [ addCombinator(elementMatcher( matchers ), matcher) ]; - } else { - matcher = Expr.filter[ tokens[i].type ].apply( null, tokens[i].matches ); - - // Return special upon seeing a positional matcher - if ( matcher[ expando ] ) { - // Find the next relative operator (if any) for proper handling - j = ++i; - for ( ; j < len; j++ ) { - if ( Expr.relative[ tokens[j].type ] ) { - break; - } - } - return setMatcher( - i > 1 && elementMatcher( matchers ), - i > 1 && toSelector( - // If the preceding token was a descendant combinator, insert an implicit any-element `*` - tokens.slice( 0, i - 1 ).concat({ value: tokens[ i - 2 ].type === " " ? "*" : "" }) - ).replace( rtrim, "$1" ), - matcher, - i < j && matcherFromTokens( tokens.slice( i, j ) ), - j < len && matcherFromTokens( (tokens = tokens.slice( j )) ), - j < len && toSelector( tokens ) - ); - } - matchers.push( matcher ); - } - } - - return elementMatcher( matchers ); -} - -function matcherFromGroupMatchers( elementMatchers, setMatchers ) { - var bySet = setMatchers.length > 0, - byElement = elementMatchers.length > 0, - superMatcher = function( seed, context, xml, results, outermost ) { - var elem, j, matcher, - matchedCount = 0, - i = "0", - unmatched = seed && [], - setMatched = [], - contextBackup = outermostContext, - // We must always have either seed elements or outermost context - elems = seed || byElement && Expr.find["TAG"]( "*", outermost ), - // Use integer dirruns iff this is the outermost matcher - dirrunsUnique = (dirruns += contextBackup == null ? 1 : Math.random() || 0.1), - len = elems.length; - - if ( outermost ) { - outermostContext = context === document || context || outermost; - } - - // Add elements passing elementMatchers directly to results - // Support: IE<9, Safari - // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id - for ( ; i !== len && (elem = elems[i]) != null; i++ ) { - if ( byElement && elem ) { - j = 0; - if ( !context && elem.ownerDocument !== document ) { - setDocument( elem ); - xml = !documentIsHTML; - } - while ( (matcher = elementMatchers[j++]) ) { - if ( matcher( elem, context || document, xml) ) { - results.push( elem ); - break; - } - } - if ( outermost ) { - dirruns = dirrunsUnique; - } - } - - // Track unmatched elements for set filters - if ( bySet ) { - // They will have gone through all possible matchers - if ( (elem = !matcher && elem) ) { - matchedCount--; - } - - // Lengthen the array for every element, matched or not - if ( seed ) { - unmatched.push( elem ); - } - } - } - - // `i` is now the count of elements visited above, and adding it to `matchedCount` - // makes the latter nonnegative. - matchedCount += i; - - // Apply set filters to unmatched elements - // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount` - // equals `i`), unless we didn't visit _any_ elements in the above loop because we have - // no element matchers and no seed. - // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that - // case, which will result in a "00" `matchedCount` that differs from `i` but is also - // numerically zero. - if ( bySet && i !== matchedCount ) { - j = 0; - while ( (matcher = setMatchers[j++]) ) { - matcher( unmatched, setMatched, context, xml ); - } - - if ( seed ) { - // Reintegrate element matches to eliminate the need for sorting - if ( matchedCount > 0 ) { - while ( i-- ) { - if ( !(unmatched[i] || setMatched[i]) ) { - setMatched[i] = pop.call( results ); - } - } - } - - // Discard index placeholder values to get only actual matches - setMatched = condense( setMatched ); - } - - // Add matches to results - push.apply( results, setMatched ); - - // Seedless set matches succeeding multiple successful matchers stipulate sorting - if ( outermost && !seed && setMatched.length > 0 && - ( matchedCount + setMatchers.length ) > 1 ) { - - Sizzle.uniqueSort( results ); - } - } - - // Override manipulation of globals by nested matchers - if ( outermost ) { - dirruns = dirrunsUnique; - outermostContext = contextBackup; - } - - return unmatched; - }; - - return bySet ? - markFunction( superMatcher ) : - superMatcher; -} - -compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { - var i, - setMatchers = [], - elementMatchers = [], - cached = compilerCache[ selector + " " ]; - - if ( !cached ) { - // Generate a function of recursive functions that can be used to check each element - if ( !match ) { - match = tokenize( selector ); - } - i = match.length; - while ( i-- ) { - cached = matcherFromTokens( match[i] ); - if ( cached[ expando ] ) { - setMatchers.push( cached ); - } else { - elementMatchers.push( cached ); - } - } - - // Cache the compiled function - cached = compilerCache( selector, matcherFromGroupMatchers( elementMatchers, setMatchers ) ); - - // Save selector and tokenization - cached.selector = selector; - } - return cached; -}; - -/** - * A low-level selection function that works with Sizzle's compiled - * selector functions - * @param {String|Function} selector A selector or a pre-compiled - * selector function built with Sizzle.compile - * @param {Element} context - * @param {Array} [results] - * @param {Array} [seed] A set of elements to match against - */ -select = Sizzle.select = function( selector, context, results, seed ) { - var i, tokens, token, type, find, - compiled = typeof selector === "function" && selector, - match = !seed && tokenize( (selector = compiled.selector || selector) ); - - results = results || []; - - // Try to minimize operations if there is only one selector in the list and no seed - // (the latter of which guarantees us context) - if ( match.length === 1 ) { - - // Reduce context if the leading compound selector is an ID - tokens = match[0] = match[0].slice( 0 ); - if ( tokens.length > 2 && (token = tokens[0]).type === "ID" && - context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[1].type ] ) { - - context = ( Expr.find["ID"]( token.matches[0].replace(runescape, funescape), context ) || [] )[0]; - if ( !context ) { - return results; - - // Precompiled matchers will still verify ancestry, so step up a level - } else if ( compiled ) { - context = context.parentNode; - } - - selector = selector.slice( tokens.shift().value.length ); - } - - // Fetch a seed set for right-to-left matching - i = matchExpr["needsContext"].test( selector ) ? 0 : tokens.length; - while ( i-- ) { - token = tokens[i]; - - // Abort if we hit a combinator - if ( Expr.relative[ (type = token.type) ] ) { - break; - } - if ( (find = Expr.find[ type ]) ) { - // Search, expanding context for leading sibling combinators - if ( (seed = find( - token.matches[0].replace( runescape, funescape ), - rsibling.test( tokens[0].type ) && testContext( context.parentNode ) || context - )) ) { - - // If seed is empty or no tokens remain, we can return early - tokens.splice( i, 1 ); - selector = seed.length && toSelector( tokens ); - if ( !selector ) { - push.apply( results, seed ); - return results; - } - - break; - } - } - } - } - - // Compile and execute a filtering function if one is not provided - // Provide `match` to avoid retokenization if we modified the selector above - ( compiled || compile( selector, match ) )( - seed, - context, - !documentIsHTML, - results, - !context || rsibling.test( selector ) && testContext( context.parentNode ) || context - ); - return results; -}; - -// One-time assignments - -// Sort stability -support.sortStable = expando.split("").sort( sortOrder ).join("") === expando; - -// Support: Chrome 14-35+ -// Always assume duplicates if they aren't passed to the comparison function -support.detectDuplicates = !!hasDuplicate; - -// Initialize against the default document -setDocument(); - -// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) -// Detached nodes confoundingly follow *each other* -support.sortDetached = assert(function( el ) { - // Should return 1, but returns 4 (following) - return el.compareDocumentPosition( document.createElement("fieldset") ) & 1; -}); - -// Support: IE<8 -// Prevent attribute/property "interpolation" -// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx -if ( !assert(function( el ) { - el.innerHTML = ""; - return el.firstChild.getAttribute("href") === "#" ; -}) ) { - addHandle( "type|href|height|width", function( elem, name, isXML ) { - if ( !isXML ) { - return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); - } - }); -} - -// Support: IE<9 -// Use defaultValue in place of getAttribute("value") -if ( !support.attributes || !assert(function( el ) { - el.innerHTML = ""; - el.firstChild.setAttribute( "value", "" ); - return el.firstChild.getAttribute( "value" ) === ""; -}) ) { - addHandle( "value", function( elem, name, isXML ) { - if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { - return elem.defaultValue; - } - }); -} - -// Support: IE<9 -// Use getAttributeNode to fetch booleans when getAttribute lies -if ( !assert(function( el ) { - return el.getAttribute("disabled") == null; -}) ) { - addHandle( booleans, function( elem, name, isXML ) { - var val; - if ( !isXML ) { - return elem[ name ] === true ? name.toLowerCase() : - (val = elem.getAttributeNode( name )) && val.specified ? - val.value : - null; - } - }); -} - -return Sizzle; - -})( window ); - - - -jQuery.find = Sizzle; -jQuery.expr = Sizzle.selectors; - -// Deprecated -jQuery.expr[ ":" ] = jQuery.expr.pseudos; -jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort; -jQuery.text = Sizzle.getText; -jQuery.isXMLDoc = Sizzle.isXML; -jQuery.contains = Sizzle.contains; -jQuery.escapeSelector = Sizzle.escape; - - - - -var dir = function( elem, dir, until ) { - var matched = [], - truncate = until !== undefined; - - while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) { - if ( elem.nodeType === 1 ) { - if ( truncate && jQuery( elem ).is( until ) ) { - break; - } - matched.push( elem ); - } - } - return matched; -}; - - -var siblings = function( n, elem ) { - var matched = []; - - for ( ; n; n = n.nextSibling ) { - if ( n.nodeType === 1 && n !== elem ) { - matched.push( n ); - } - } - - return matched; -}; - - -var rneedsContext = jQuery.expr.match.needsContext; - - - -function nodeName( elem, name ) { - - return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); - -}; -var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i ); - - - -var risSimple = /^.[^:#\[\.,]*$/; - -// Implement the identical functionality for filter and not -function winnow( elements, qualifier, not ) { - if ( jQuery.isFunction( qualifier ) ) { - return jQuery.grep( elements, function( elem, i ) { - return !!qualifier.call( elem, i, elem ) !== not; - } ); - } - - // Single element - if ( qualifier.nodeType ) { - return jQuery.grep( elements, function( elem ) { - return ( elem === qualifier ) !== not; - } ); - } - - // Arraylike of elements (jQuery, arguments, Array) - if ( typeof qualifier !== "string" ) { - return jQuery.grep( elements, function( elem ) { - return ( indexOf.call( qualifier, elem ) > -1 ) !== not; - } ); - } - - // Simple selector that can be filtered directly, removing non-Elements - if ( risSimple.test( qualifier ) ) { - return jQuery.filter( qualifier, elements, not ); - } - - // Complex selector, compare the two sets, removing non-Elements - qualifier = jQuery.filter( qualifier, elements ); - return jQuery.grep( elements, function( elem ) { - return ( indexOf.call( qualifier, elem ) > -1 ) !== not && elem.nodeType === 1; - } ); -} - -jQuery.filter = function( expr, elems, not ) { - var elem = elems[ 0 ]; - - if ( not ) { - expr = ":not(" + expr + ")"; - } - - if ( elems.length === 1 && elem.nodeType === 1 ) { - return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : []; - } - - return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { - return elem.nodeType === 1; - } ) ); -}; - -jQuery.fn.extend( { - find: function( selector ) { - var i, ret, - len = this.length, - self = this; - - if ( typeof selector !== "string" ) { - return this.pushStack( jQuery( selector ).filter( function() { - for ( i = 0; i < len; i++ ) { - if ( jQuery.contains( self[ i ], this ) ) { - return true; - } - } - } ) ); - } - - ret = this.pushStack( [] ); - - for ( i = 0; i < len; i++ ) { - jQuery.find( selector, self[ i ], ret ); - } - - return len > 1 ? jQuery.uniqueSort( ret ) : ret; - }, - filter: function( selector ) { - return this.pushStack( winnow( this, selector || [], false ) ); - }, - not: function( selector ) { - return this.pushStack( winnow( this, selector || [], true ) ); - }, - is: function( selector ) { - return !!winnow( - this, - - // If this is a positional/relative selector, check membership in the returned set - // so $("p:first").is("p:last") won't return true for a doc with two "p". - typeof selector === "string" && rneedsContext.test( selector ) ? - jQuery( selector ) : - selector || [], - false - ).length; - } -} ); - - -// Initialize a jQuery object - - -// A central reference to the root jQuery(document) -var rootjQuery, - - // A simple way to check for HTML strings - // Prioritize #id over to avoid XSS via location.hash (#9521) - // Strict HTML recognition (#11290: must start with <) - // Shortcut simple #id case for speed - rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/, - - init = jQuery.fn.init = function( selector, context, root ) { - var match, elem; - - // HANDLE: $(""), $(null), $(undefined), $(false) - if ( !selector ) { - return this; - } - - // Method init() accepts an alternate rootjQuery - // so migrate can support jQuery.sub (gh-2101) - root = root || rootjQuery; - - // Handle HTML strings - if ( typeof selector === "string" ) { - if ( selector[ 0 ] === "<" && - selector[ selector.length - 1 ] === ">" && - selector.length >= 3 ) { - - // Assume that strings that start and end with <> are HTML and skip the regex check - match = [ null, selector, null ]; - - } else { - match = rquickExpr.exec( selector ); - } - - // Match html or make sure no context is specified for #id - if ( match && ( match[ 1 ] || !context ) ) { - - // HANDLE: $(html) -> $(array) - if ( match[ 1 ] ) { - context = context instanceof jQuery ? context[ 0 ] : context; - - // Option to run scripts is true for back-compat - // Intentionally let the error be thrown if parseHTML is not present - jQuery.merge( this, jQuery.parseHTML( - match[ 1 ], - context && context.nodeType ? context.ownerDocument || context : document, - true - ) ); - - // HANDLE: $(html, props) - if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) { - for ( match in context ) { - - // Properties of context are called as methods if possible - if ( jQuery.isFunction( this[ match ] ) ) { - this[ match ]( context[ match ] ); - - // ...and otherwise set as attributes - } else { - this.attr( match, context[ match ] ); - } - } - } - - return this; - - // HANDLE: $(#id) - } else { - elem = document.getElementById( match[ 2 ] ); - - if ( elem ) { - - // Inject the element directly into the jQuery object - this[ 0 ] = elem; - this.length = 1; - } - return this; - } - - // HANDLE: $(expr, $(...)) - } else if ( !context || context.jquery ) { - return ( context || root ).find( selector ); - - // HANDLE: $(expr, context) - // (which is just equivalent to: $(context).find(expr) - } else { - return this.constructor( context ).find( selector ); - } - - // HANDLE: $(DOMElement) - } else if ( selector.nodeType ) { - this[ 0 ] = selector; - this.length = 1; - return this; - - // HANDLE: $(function) - // Shortcut for document ready - } else if ( jQuery.isFunction( selector ) ) { - return root.ready !== undefined ? - root.ready( selector ) : - - // Execute immediately if ready is not present - selector( jQuery ); - } - - return jQuery.makeArray( selector, this ); - }; - -// Give the init function the jQuery prototype for later instantiation -init.prototype = jQuery.fn; - -// Initialize central reference -rootjQuery = jQuery( document ); - - -var rparentsprev = /^(?:parents|prev(?:Until|All))/, - - // Methods guaranteed to produce a unique set when starting from a unique set - guaranteedUnique = { - children: true, - contents: true, - next: true, - prev: true - }; - -jQuery.fn.extend( { - has: function( target ) { - var targets = jQuery( target, this ), - l = targets.length; - - return this.filter( function() { - var i = 0; - for ( ; i < l; i++ ) { - if ( jQuery.contains( this, targets[ i ] ) ) { - return true; - } - } - } ); - }, - - closest: function( selectors, context ) { - var cur, - i = 0, - l = this.length, - matched = [], - targets = typeof selectors !== "string" && jQuery( selectors ); - - // Positional selectors never match, since there's no _selection_ context - if ( !rneedsContext.test( selectors ) ) { - for ( ; i < l; i++ ) { - for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) { - - // Always skip document fragments - if ( cur.nodeType < 11 && ( targets ? - targets.index( cur ) > -1 : - - // Don't pass non-elements to Sizzle - cur.nodeType === 1 && - jQuery.find.matchesSelector( cur, selectors ) ) ) { - - matched.push( cur ); - break; - } - } - } - } - - return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched ); - }, - - // Determine the position of an element within the set - index: function( elem ) { - - // No argument, return index in parent - if ( !elem ) { - return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; - } - - // Index in selector - if ( typeof elem === "string" ) { - return indexOf.call( jQuery( elem ), this[ 0 ] ); - } - - // Locate the position of the desired element - return indexOf.call( this, - - // If it receives a jQuery object, the first element is used - elem.jquery ? elem[ 0 ] : elem - ); - }, - - add: function( selector, context ) { - return this.pushStack( - jQuery.uniqueSort( - jQuery.merge( this.get(), jQuery( selector, context ) ) - ) - ); - }, - - addBack: function( selector ) { - return this.add( selector == null ? - this.prevObject : this.prevObject.filter( selector ) - ); - } -} ); - -function sibling( cur, dir ) { - while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {} - return cur; -} - -jQuery.each( { - parent: function( elem ) { - var parent = elem.parentNode; - return parent && parent.nodeType !== 11 ? parent : null; - }, - parents: function( elem ) { - return dir( elem, "parentNode" ); - }, - parentsUntil: function( elem, i, until ) { - return dir( elem, "parentNode", until ); - }, - next: function( elem ) { - return sibling( elem, "nextSibling" ); - }, - prev: function( elem ) { - return sibling( elem, "previousSibling" ); - }, - nextAll: function( elem ) { - return dir( elem, "nextSibling" ); - }, - prevAll: function( elem ) { - return dir( elem, "previousSibling" ); - }, - nextUntil: function( elem, i, until ) { - return dir( elem, "nextSibling", until ); - }, - prevUntil: function( elem, i, until ) { - return dir( elem, "previousSibling", until ); - }, - siblings: function( elem ) { - return siblings( ( elem.parentNode || {} ).firstChild, elem ); - }, - children: function( elem ) { - return siblings( elem.firstChild ); - }, - contents: function( elem ) { - if ( nodeName( elem, "iframe" ) ) { - return elem.contentDocument; - } - - // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only - // Treat the template element as a regular one in browsers that - // don't support it. - if ( nodeName( elem, "template" ) ) { - elem = elem.content || elem; - } - - return jQuery.merge( [], elem.childNodes ); - } -}, function( name, fn ) { - jQuery.fn[ name ] = function( until, selector ) { - var matched = jQuery.map( this, fn, until ); - - if ( name.slice( -5 ) !== "Until" ) { - selector = until; - } - - if ( selector && typeof selector === "string" ) { - matched = jQuery.filter( selector, matched ); - } - - if ( this.length > 1 ) { - - // Remove duplicates - if ( !guaranteedUnique[ name ] ) { - jQuery.uniqueSort( matched ); - } - - // Reverse order for parents* and prev-derivatives - if ( rparentsprev.test( name ) ) { - matched.reverse(); - } - } - - return this.pushStack( matched ); - }; -} ); -var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g ); - - - -// Convert String-formatted options into Object-formatted ones -function createOptions( options ) { - var object = {}; - jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) { - object[ flag ] = true; - } ); - return object; -} - -/* - * Create a callback list using the following parameters: - * - * options: an optional list of space-separated options that will change how - * the callback list behaves or a more traditional option object - * - * By default a callback list will act like an event callback list and can be - * "fired" multiple times. - * - * Possible options: - * - * once: will ensure the callback list can only be fired once (like a Deferred) - * - * memory: will keep track of previous values and will call any callback added - * after the list has been fired right away with the latest "memorized" - * values (like a Deferred) - * - * unique: will ensure a callback can only be added once (no duplicate in the list) - * - * stopOnFalse: interrupt callings when a callback returns false - * - */ -jQuery.Callbacks = function( options ) { - - // Convert options from String-formatted to Object-formatted if needed - // (we check in cache first) - options = typeof options === "string" ? - createOptions( options ) : - jQuery.extend( {}, options ); - - var // Flag to know if list is currently firing - firing, - - // Last fire value for non-forgettable lists - memory, - - // Flag to know if list was already fired - fired, - - // Flag to prevent firing - locked, - - // Actual callback list - list = [], - - // Queue of execution data for repeatable lists - queue = [], - - // Index of currently firing callback (modified by add/remove as needed) - firingIndex = -1, - - // Fire callbacks - fire = function() { - - // Enforce single-firing - locked = locked || options.once; - - // Execute callbacks for all pending executions, - // respecting firingIndex overrides and runtime changes - fired = firing = true; - for ( ; queue.length; firingIndex = -1 ) { - memory = queue.shift(); - while ( ++firingIndex < list.length ) { - - // Run callback and check for early termination - if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false && - options.stopOnFalse ) { - - // Jump to end and forget the data so .add doesn't re-fire - firingIndex = list.length; - memory = false; - } - } - } - - // Forget the data if we're done with it - if ( !options.memory ) { - memory = false; - } - - firing = false; - - // Clean up if we're done firing for good - if ( locked ) { - - // Keep an empty list if we have data for future add calls - if ( memory ) { - list = []; - - // Otherwise, this object is spent - } else { - list = ""; - } - } - }, - - // Actual Callbacks object - self = { - - // Add a callback or a collection of callbacks to the list - add: function() { - if ( list ) { - - // If we have memory from a past run, we should fire after adding - if ( memory && !firing ) { - firingIndex = list.length - 1; - queue.push( memory ); - } - - ( function add( args ) { - jQuery.each( args, function( _, arg ) { - if ( jQuery.isFunction( arg ) ) { - if ( !options.unique || !self.has( arg ) ) { - list.push( arg ); - } - } else if ( arg && arg.length && jQuery.type( arg ) !== "string" ) { - - // Inspect recursively - add( arg ); - } - } ); - } )( arguments ); - - if ( memory && !firing ) { - fire(); - } - } - return this; - }, - - // Remove a callback from the list - remove: function() { - jQuery.each( arguments, function( _, arg ) { - var index; - while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { - list.splice( index, 1 ); - - // Handle firing indexes - if ( index <= firingIndex ) { - firingIndex--; - } - } - } ); - return this; - }, - - // Check if a given callback is in the list. - // If no argument is given, return whether or not list has callbacks attached. - has: function( fn ) { - return fn ? - jQuery.inArray( fn, list ) > -1 : - list.length > 0; - }, - - // Remove all callbacks from the list - empty: function() { - if ( list ) { - list = []; - } - return this; - }, - - // Disable .fire and .add - // Abort any current/pending executions - // Clear all callbacks and values - disable: function() { - locked = queue = []; - list = memory = ""; - return this; - }, - disabled: function() { - return !list; - }, - - // Disable .fire - // Also disable .add unless we have memory (since it would have no effect) - // Abort any pending executions - lock: function() { - locked = queue = []; - if ( !memory && !firing ) { - list = memory = ""; - } - return this; - }, - locked: function() { - return !!locked; - }, - - // Call all callbacks with the given context and arguments - fireWith: function( context, args ) { - if ( !locked ) { - args = args || []; - args = [ context, args.slice ? args.slice() : args ]; - queue.push( args ); - if ( !firing ) { - fire(); - } - } - return this; - }, - - // Call all the callbacks with the given arguments - fire: function() { - self.fireWith( this, arguments ); - return this; - }, - - // To know if the callbacks have already been called at least once - fired: function() { - return !!fired; - } - }; - - return self; -}; - - -function Identity( v ) { - return v; -} -function Thrower( ex ) { - throw ex; -} - -function adoptValue( value, resolve, reject, noValue ) { - var method; - - try { - - // Check for promise aspect first to privilege synchronous behavior - if ( value && jQuery.isFunction( ( method = value.promise ) ) ) { - method.call( value ).done( resolve ).fail( reject ); - - // Other thenables - } else if ( value && jQuery.isFunction( ( method = value.then ) ) ) { - method.call( value, resolve, reject ); - - // Other non-thenables - } else { - - // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer: - // * false: [ value ].slice( 0 ) => resolve( value ) - // * true: [ value ].slice( 1 ) => resolve() - resolve.apply( undefined, [ value ].slice( noValue ) ); - } - - // For Promises/A+, convert exceptions into rejections - // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in - // Deferred#then to conditionally suppress rejection. - } catch ( value ) { - - // Support: Android 4.0 only - // Strict mode functions invoked without .call/.apply get global-object context - reject.apply( undefined, [ value ] ); - } -} - -jQuery.extend( { - - Deferred: function( func ) { - var tuples = [ - - // action, add listener, callbacks, - // ... .then handlers, argument index, [final state] - [ "notify", "progress", jQuery.Callbacks( "memory" ), - jQuery.Callbacks( "memory" ), 2 ], - [ "resolve", "done", jQuery.Callbacks( "once memory" ), - jQuery.Callbacks( "once memory" ), 0, "resolved" ], - [ "reject", "fail", jQuery.Callbacks( "once memory" ), - jQuery.Callbacks( "once memory" ), 1, "rejected" ] - ], - state = "pending", - promise = { - state: function() { - return state; - }, - always: function() { - deferred.done( arguments ).fail( arguments ); - return this; - }, - "catch": function( fn ) { - return promise.then( null, fn ); - }, - - // Keep pipe for back-compat - pipe: function( /* fnDone, fnFail, fnProgress */ ) { - var fns = arguments; - - return jQuery.Deferred( function( newDefer ) { - jQuery.each( tuples, function( i, tuple ) { - - // Map tuples (progress, done, fail) to arguments (done, fail, progress) - var fn = jQuery.isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; - - // deferred.progress(function() { bind to newDefer or newDefer.notify }) - // deferred.done(function() { bind to newDefer or newDefer.resolve }) - // deferred.fail(function() { bind to newDefer or newDefer.reject }) - deferred[ tuple[ 1 ] ]( function() { - var returned = fn && fn.apply( this, arguments ); - if ( returned && jQuery.isFunction( returned.promise ) ) { - returned.promise() - .progress( newDefer.notify ) - .done( newDefer.resolve ) - .fail( newDefer.reject ); - } else { - newDefer[ tuple[ 0 ] + "With" ]( - this, - fn ? [ returned ] : arguments - ); - } - } ); - } ); - fns = null; - } ).promise(); - }, - then: function( onFulfilled, onRejected, onProgress ) { - var maxDepth = 0; - function resolve( depth, deferred, handler, special ) { - return function() { - var that = this, - args = arguments, - mightThrow = function() { - var returned, then; - - // Support: Promises/A+ section 2.3.3.3.3 - // https://promisesaplus.com/#point-59 - // Ignore double-resolution attempts - if ( depth < maxDepth ) { - return; - } - - returned = handler.apply( that, args ); - - // Support: Promises/A+ section 2.3.1 - // https://promisesaplus.com/#point-48 - if ( returned === deferred.promise() ) { - throw new TypeError( "Thenable self-resolution" ); - } - - // Support: Promises/A+ sections 2.3.3.1, 3.5 - // https://promisesaplus.com/#point-54 - // https://promisesaplus.com/#point-75 - // Retrieve `then` only once - then = returned && - - // Support: Promises/A+ section 2.3.4 - // https://promisesaplus.com/#point-64 - // Only check objects and functions for thenability - ( typeof returned === "object" || - typeof returned === "function" ) && - returned.then; - - // Handle a returned thenable - if ( jQuery.isFunction( then ) ) { - - // Special processors (notify) just wait for resolution - if ( special ) { - then.call( - returned, - resolve( maxDepth, deferred, Identity, special ), - resolve( maxDepth, deferred, Thrower, special ) - ); - - // Normal processors (resolve) also hook into progress - } else { - - // ...and disregard older resolution values - maxDepth++; - - then.call( - returned, - resolve( maxDepth, deferred, Identity, special ), - resolve( maxDepth, deferred, Thrower, special ), - resolve( maxDepth, deferred, Identity, - deferred.notifyWith ) - ); - } - - // Handle all other returned values - } else { - - // Only substitute handlers pass on context - // and multiple values (non-spec behavior) - if ( handler !== Identity ) { - that = undefined; - args = [ returned ]; - } - - // Process the value(s) - // Default process is resolve - ( special || deferred.resolveWith )( that, args ); - } - }, - - // Only normal processors (resolve) catch and reject exceptions - process = special ? - mightThrow : - function() { - try { - mightThrow(); - } catch ( e ) { - - if ( jQuery.Deferred.exceptionHook ) { - jQuery.Deferred.exceptionHook( e, - process.stackTrace ); - } - - // Support: Promises/A+ section 2.3.3.3.4.1 - // https://promisesaplus.com/#point-61 - // Ignore post-resolution exceptions - if ( depth + 1 >= maxDepth ) { - - // Only substitute handlers pass on context - // and multiple values (non-spec behavior) - if ( handler !== Thrower ) { - that = undefined; - args = [ e ]; - } - - deferred.rejectWith( that, args ); - } - } - }; - - // Support: Promises/A+ section 2.3.3.3.1 - // https://promisesaplus.com/#point-57 - // Re-resolve promises immediately to dodge false rejection from - // subsequent errors - if ( depth ) { - process(); - } else { - - // Call an optional hook to record the stack, in case of exception - // since it's otherwise lost when execution goes async - if ( jQuery.Deferred.getStackHook ) { - process.stackTrace = jQuery.Deferred.getStackHook(); - } - window.setTimeout( process ); - } - }; - } - - return jQuery.Deferred( function( newDefer ) { - - // progress_handlers.add( ... ) - tuples[ 0 ][ 3 ].add( - resolve( - 0, - newDefer, - jQuery.isFunction( onProgress ) ? - onProgress : - Identity, - newDefer.notifyWith - ) - ); - - // fulfilled_handlers.add( ... ) - tuples[ 1 ][ 3 ].add( - resolve( - 0, - newDefer, - jQuery.isFunction( onFulfilled ) ? - onFulfilled : - Identity - ) - ); - - // rejected_handlers.add( ... ) - tuples[ 2 ][ 3 ].add( - resolve( - 0, - newDefer, - jQuery.isFunction( onRejected ) ? - onRejected : - Thrower - ) - ); - } ).promise(); - }, - - // Get a promise for this deferred - // If obj is provided, the promise aspect is added to the object - promise: function( obj ) { - return obj != null ? jQuery.extend( obj, promise ) : promise; - } - }, - deferred = {}; - - // Add list-specific methods - jQuery.each( tuples, function( i, tuple ) { - var list = tuple[ 2 ], - stateString = tuple[ 5 ]; - - // promise.progress = list.add - // promise.done = list.add - // promise.fail = list.add - promise[ tuple[ 1 ] ] = list.add; - - // Handle state - if ( stateString ) { - list.add( - function() { - - // state = "resolved" (i.e., fulfilled) - // state = "rejected" - state = stateString; - }, - - // rejected_callbacks.disable - // fulfilled_callbacks.disable - tuples[ 3 - i ][ 2 ].disable, - - // progress_callbacks.lock - tuples[ 0 ][ 2 ].lock - ); - } - - // progress_handlers.fire - // fulfilled_handlers.fire - // rejected_handlers.fire - list.add( tuple[ 3 ].fire ); - - // deferred.notify = function() { deferred.notifyWith(...) } - // deferred.resolve = function() { deferred.resolveWith(...) } - // deferred.reject = function() { deferred.rejectWith(...) } - deferred[ tuple[ 0 ] ] = function() { - deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments ); - return this; - }; - - // deferred.notifyWith = list.fireWith - // deferred.resolveWith = list.fireWith - // deferred.rejectWith = list.fireWith - deferred[ tuple[ 0 ] + "With" ] = list.fireWith; - } ); - - // Make the deferred a promise - promise.promise( deferred ); - - // Call given func if any - if ( func ) { - func.call( deferred, deferred ); - } - - // All done! - return deferred; - }, - - // Deferred helper - when: function( singleValue ) { - var - - // count of uncompleted subordinates - remaining = arguments.length, - - // count of unprocessed arguments - i = remaining, - - // subordinate fulfillment data - resolveContexts = Array( i ), - resolveValues = slice.call( arguments ), - - // the master Deferred - master = jQuery.Deferred(), - - // subordinate callback factory - updateFunc = function( i ) { - return function( value ) { - resolveContexts[ i ] = this; - resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; - if ( !( --remaining ) ) { - master.resolveWith( resolveContexts, resolveValues ); - } - }; - }; - - // Single- and empty arguments are adopted like Promise.resolve - if ( remaining <= 1 ) { - adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject, - !remaining ); - - // Use .then() to unwrap secondary thenables (cf. gh-3000) - if ( master.state() === "pending" || - jQuery.isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { - - return master.then(); - } - } - - // Multiple arguments are aggregated like Promise.all array elements - while ( i-- ) { - adoptValue( resolveValues[ i ], updateFunc( i ), master.reject ); - } - - return master.promise(); - } -} ); - - -// These usually indicate a programmer mistake during development, -// warn about them ASAP rather than swallowing them by default. -var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/; - -jQuery.Deferred.exceptionHook = function( error, stack ) { - - // Support: IE 8 - 9 only - // Console exists when dev tools are open, which can happen at any time - if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) { - window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack ); - } -}; - - - - -jQuery.readyException = function( error ) { - window.setTimeout( function() { - throw error; - } ); -}; - - - - -// The deferred used on DOM ready -var readyList = jQuery.Deferred(); - -jQuery.fn.ready = function( fn ) { - - readyList - .then( fn ) - - // Wrap jQuery.readyException in a function so that the lookup - // happens at the time of error handling instead of callback - // registration. - .catch( function( error ) { - jQuery.readyException( error ); - } ); - - return this; -}; - -jQuery.extend( { - - // Is the DOM ready to be used? Set to true once it occurs. - isReady: false, - - // A counter to track how many items to wait for before - // the ready event fires. See #6781 - readyWait: 1, - - // Handle when the DOM is ready - ready: function( wait ) { - - // Abort if there are pending holds or we're already ready - if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { - return; - } - - // Remember that the DOM is ready - jQuery.isReady = true; - - // If a normal DOM Ready event fired, decrement, and wait if need be - if ( wait !== true && --jQuery.readyWait > 0 ) { - return; - } - - // If there are functions bound, to execute - readyList.resolveWith( document, [ jQuery ] ); - } -} ); - -jQuery.ready.then = readyList.then; - -// The ready event handler and self cleanup method -function completed() { - document.removeEventListener( "DOMContentLoaded", completed ); - window.removeEventListener( "load", completed ); - jQuery.ready(); -} - -// Catch cases where $(document).ready() is called -// after the browser event has already occurred. -// Support: IE <=9 - 10 only -// Older IE sometimes signals "interactive" too soon -if ( document.readyState === "complete" || - ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) { - - // Handle it asynchronously to allow scripts the opportunity to delay ready - window.setTimeout( jQuery.ready ); - -} else { - - // Use the handy event callback - document.addEventListener( "DOMContentLoaded", completed ); - - // A fallback to window.onload, that will always work - window.addEventListener( "load", completed ); -} - - - - -// Multifunctional method to get and set values of a collection -// The value/s can optionally be executed if it's a function -var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { - var i = 0, - len = elems.length, - bulk = key == null; - - // Sets many values - if ( jQuery.type( key ) === "object" ) { - chainable = true; - for ( i in key ) { - access( elems, fn, i, key[ i ], true, emptyGet, raw ); - } - - // Sets one value - } else if ( value !== undefined ) { - chainable = true; - - if ( !jQuery.isFunction( value ) ) { - raw = true; - } - - if ( bulk ) { - - // Bulk operations run against the entire set - if ( raw ) { - fn.call( elems, value ); - fn = null; - - // ...except when executing function values - } else { - bulk = fn; - fn = function( elem, key, value ) { - return bulk.call( jQuery( elem ), value ); - }; - } - } - - if ( fn ) { - for ( ; i < len; i++ ) { - fn( - elems[ i ], key, raw ? - value : - value.call( elems[ i ], i, fn( elems[ i ], key ) ) - ); - } - } - } - - if ( chainable ) { - return elems; - } - - // Gets - if ( bulk ) { - return fn.call( elems ); - } - - return len ? fn( elems[ 0 ], key ) : emptyGet; -}; -var acceptData = function( owner ) { - - // Accepts only: - // - Node - // - Node.ELEMENT_NODE - // - Node.DOCUMENT_NODE - // - Object - // - Any - return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType ); -}; - - - - -function Data() { - this.expando = jQuery.expando + Data.uid++; -} - -Data.uid = 1; - -Data.prototype = { - - cache: function( owner ) { - - // Check if the owner object already has a cache - var value = owner[ this.expando ]; - - // If not, create one - if ( !value ) { - value = {}; - - // We can accept data for non-element nodes in modern browsers, - // but we should not, see #8335. - // Always return an empty object. - if ( acceptData( owner ) ) { - - // If it is a node unlikely to be stringify-ed or looped over - // use plain assignment - if ( owner.nodeType ) { - owner[ this.expando ] = value; - - // Otherwise secure it in a non-enumerable property - // configurable must be true to allow the property to be - // deleted when data is removed - } else { - Object.defineProperty( owner, this.expando, { - value: value, - configurable: true - } ); - } - } - } - - return value; - }, - set: function( owner, data, value ) { - var prop, - cache = this.cache( owner ); - - // Handle: [ owner, key, value ] args - // Always use camelCase key (gh-2257) - if ( typeof data === "string" ) { - cache[ jQuery.camelCase( data ) ] = value; - - // Handle: [ owner, { properties } ] args - } else { - - // Copy the properties one-by-one to the cache object - for ( prop in data ) { - cache[ jQuery.camelCase( prop ) ] = data[ prop ]; - } - } - return cache; - }, - get: function( owner, key ) { - return key === undefined ? - this.cache( owner ) : - - // Always use camelCase key (gh-2257) - owner[ this.expando ] && owner[ this.expando ][ jQuery.camelCase( key ) ]; - }, - access: function( owner, key, value ) { - - // In cases where either: - // - // 1. No key was specified - // 2. A string key was specified, but no value provided - // - // Take the "read" path and allow the get method to determine - // which value to return, respectively either: - // - // 1. The entire cache object - // 2. The data stored at the key - // - if ( key === undefined || - ( ( key && typeof key === "string" ) && value === undefined ) ) { - - return this.get( owner, key ); - } - - // When the key is not a string, or both a key and value - // are specified, set or extend (existing objects) with either: - // - // 1. An object of properties - // 2. A key and value - // - this.set( owner, key, value ); - - // Since the "set" path can have two possible entry points - // return the expected data based on which path was taken[*] - return value !== undefined ? value : key; - }, - remove: function( owner, key ) { - var i, - cache = owner[ this.expando ]; - - if ( cache === undefined ) { - return; - } - - if ( key !== undefined ) { - - // Support array or space separated string of keys - if ( Array.isArray( key ) ) { - - // If key is an array of keys... - // We always set camelCase keys, so remove that. - key = key.map( jQuery.camelCase ); - } else { - key = jQuery.camelCase( key ); - - // If a key with the spaces exists, use it. - // Otherwise, create an array by matching non-whitespace - key = key in cache ? - [ key ] : - ( key.match( rnothtmlwhite ) || [] ); - } - - i = key.length; - - while ( i-- ) { - delete cache[ key[ i ] ]; - } - } - - // Remove the expando if there's no more data - if ( key === undefined || jQuery.isEmptyObject( cache ) ) { - - // Support: Chrome <=35 - 45 - // Webkit & Blink performance suffers when deleting properties - // from DOM nodes, so set to undefined instead - // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted) - if ( owner.nodeType ) { - owner[ this.expando ] = undefined; - } else { - delete owner[ this.expando ]; - } - } - }, - hasData: function( owner ) { - var cache = owner[ this.expando ]; - return cache !== undefined && !jQuery.isEmptyObject( cache ); - } -}; -var dataPriv = new Data(); - -var dataUser = new Data(); - - - -// Implementation Summary -// -// 1. Enforce API surface and semantic compatibility with 1.9.x branch -// 2. Improve the module's maintainability by reducing the storage -// paths to a single mechanism. -// 3. Use the same single mechanism to support "private" and "user" data. -// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) -// 5. Avoid exposing implementation details on user objects (eg. expando properties) -// 6. Provide a clear path for implementation upgrade to WeakMap in 2014 - -var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, - rmultiDash = /[A-Z]/g; - -function getData( data ) { - if ( data === "true" ) { - return true; - } - - if ( data === "false" ) { - return false; - } - - if ( data === "null" ) { - return null; - } - - // Only convert to a number if it doesn't change the string - if ( data === +data + "" ) { - return +data; - } - - if ( rbrace.test( data ) ) { - return JSON.parse( data ); - } - - return data; -} - -function dataAttr( elem, key, data ) { - var name; - - // If nothing was found internally, try to fetch any - // data from the HTML5 data-* attribute - if ( data === undefined && elem.nodeType === 1 ) { - name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase(); - data = elem.getAttribute( name ); - - if ( typeof data === "string" ) { - try { - data = getData( data ); - } catch ( e ) {} - - // Make sure we set the data so it isn't changed later - dataUser.set( elem, key, data ); - } else { - data = undefined; - } - } - return data; -} - -jQuery.extend( { - hasData: function( elem ) { - return dataUser.hasData( elem ) || dataPriv.hasData( elem ); - }, - - data: function( elem, name, data ) { - return dataUser.access( elem, name, data ); - }, - - removeData: function( elem, name ) { - dataUser.remove( elem, name ); - }, - - // TODO: Now that all calls to _data and _removeData have been replaced - // with direct calls to dataPriv methods, these can be deprecated. - _data: function( elem, name, data ) { - return dataPriv.access( elem, name, data ); - }, - - _removeData: function( elem, name ) { - dataPriv.remove( elem, name ); - } -} ); - -jQuery.fn.extend( { - data: function( key, value ) { - var i, name, data, - elem = this[ 0 ], - attrs = elem && elem.attributes; - - // Gets all values - if ( key === undefined ) { - if ( this.length ) { - data = dataUser.get( elem ); - - if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) { - i = attrs.length; - while ( i-- ) { - - // Support: IE 11 only - // The attrs elements can be null (#14894) - if ( attrs[ i ] ) { - name = attrs[ i ].name; - if ( name.indexOf( "data-" ) === 0 ) { - name = jQuery.camelCase( name.slice( 5 ) ); - dataAttr( elem, name, data[ name ] ); - } - } - } - dataPriv.set( elem, "hasDataAttrs", true ); - } - } - - return data; - } - - // Sets multiple values - if ( typeof key === "object" ) { - return this.each( function() { - dataUser.set( this, key ); - } ); - } - - return access( this, function( value ) { - var data; - - // The calling jQuery object (element matches) is not empty - // (and therefore has an element appears at this[ 0 ]) and the - // `value` parameter was not undefined. An empty jQuery object - // will result in `undefined` for elem = this[ 0 ] which will - // throw an exception if an attempt to read a data cache is made. - if ( elem && value === undefined ) { - - // Attempt to get data from the cache - // The key will always be camelCased in Data - data = dataUser.get( elem, key ); - if ( data !== undefined ) { - return data; - } - - // Attempt to "discover" the data in - // HTML5 custom data-* attrs - data = dataAttr( elem, key ); - if ( data !== undefined ) { - return data; - } - - // We tried really hard, but the data doesn't exist. - return; - } - - // Set the data... - this.each( function() { - - // We always store the camelCased key - dataUser.set( this, key, value ); - } ); - }, null, value, arguments.length > 1, null, true ); - }, - - removeData: function( key ) { - return this.each( function() { - dataUser.remove( this, key ); - } ); - } -} ); - - -jQuery.extend( { - queue: function( elem, type, data ) { - var queue; - - if ( elem ) { - type = ( type || "fx" ) + "queue"; - queue = dataPriv.get( elem, type ); - - // Speed up dequeue by getting out quickly if this is just a lookup - if ( data ) { - if ( !queue || Array.isArray( data ) ) { - queue = dataPriv.access( elem, type, jQuery.makeArray( data ) ); - } else { - queue.push( data ); - } - } - return queue || []; - } - }, - - dequeue: function( elem, type ) { - type = type || "fx"; - - var queue = jQuery.queue( elem, type ), - startLength = queue.length, - fn = queue.shift(), - hooks = jQuery._queueHooks( elem, type ), - next = function() { - jQuery.dequeue( elem, type ); - }; - - // If the fx queue is dequeued, always remove the progress sentinel - if ( fn === "inprogress" ) { - fn = queue.shift(); - startLength--; - } - - if ( fn ) { - - // Add a progress sentinel to prevent the fx queue from being - // automatically dequeued - if ( type === "fx" ) { - queue.unshift( "inprogress" ); - } - - // Clear up the last queue stop function - delete hooks.stop; - fn.call( elem, next, hooks ); - } - - if ( !startLength && hooks ) { - hooks.empty.fire(); - } - }, - - // Not public - generate a queueHooks object, or return the current one - _queueHooks: function( elem, type ) { - var key = type + "queueHooks"; - return dataPriv.get( elem, key ) || dataPriv.access( elem, key, { - empty: jQuery.Callbacks( "once memory" ).add( function() { - dataPriv.remove( elem, [ type + "queue", key ] ); - } ) - } ); - } -} ); - -jQuery.fn.extend( { - queue: function( type, data ) { - var setter = 2; - - if ( typeof type !== "string" ) { - data = type; - type = "fx"; - setter--; - } - - if ( arguments.length < setter ) { - return jQuery.queue( this[ 0 ], type ); - } - - return data === undefined ? - this : - this.each( function() { - var queue = jQuery.queue( this, type, data ); - - // Ensure a hooks for this queue - jQuery._queueHooks( this, type ); - - if ( type === "fx" && queue[ 0 ] !== "inprogress" ) { - jQuery.dequeue( this, type ); - } - } ); - }, - dequeue: function( type ) { - return this.each( function() { - jQuery.dequeue( this, type ); - } ); - }, - clearQueue: function( type ) { - return this.queue( type || "fx", [] ); - }, - - // Get a promise resolved when queues of a certain type - // are emptied (fx is the type by default) - promise: function( type, obj ) { - var tmp, - count = 1, - defer = jQuery.Deferred(), - elements = this, - i = this.length, - resolve = function() { - if ( !( --count ) ) { - defer.resolveWith( elements, [ elements ] ); - } - }; - - if ( typeof type !== "string" ) { - obj = type; - type = undefined; - } - type = type || "fx"; - - while ( i-- ) { - tmp = dataPriv.get( elements[ i ], type + "queueHooks" ); - if ( tmp && tmp.empty ) { - count++; - tmp.empty.add( resolve ); - } - } - resolve(); - return defer.promise( obj ); - } -} ); -var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source; - -var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ); - - -var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; - -var isHiddenWithinTree = function( elem, el ) { - - // isHiddenWithinTree might be called from jQuery#filter function; - // in that case, element will be second argument - elem = el || elem; - - // Inline style trumps all - return elem.style.display === "none" || - elem.style.display === "" && - - // Otherwise, check computed style - // Support: Firefox <=43 - 45 - // Disconnected elements can have computed display: none, so first confirm that elem is - // in the document. - jQuery.contains( elem.ownerDocument, elem ) && - - jQuery.css( elem, "display" ) === "none"; - }; - -var swap = function( elem, options, callback, args ) { - var ret, name, - old = {}; - - // Remember the old values, and insert the new ones - for ( name in options ) { - old[ name ] = elem.style[ name ]; - elem.style[ name ] = options[ name ]; - } - - ret = callback.apply( elem, args || [] ); - - // Revert the old values - for ( name in options ) { - elem.style[ name ] = old[ name ]; - } - - return ret; -}; - - - - -function adjustCSS( elem, prop, valueParts, tween ) { - var adjusted, - scale = 1, - maxIterations = 20, - currentValue = tween ? - function() { - return tween.cur(); - } : - function() { - return jQuery.css( elem, prop, "" ); - }, - initial = currentValue(), - unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ), - - // Starting value computation is required for potential unit mismatches - initialInUnit = ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) && - rcssNum.exec( jQuery.css( elem, prop ) ); - - if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { - - // Trust units reported by jQuery.css - unit = unit || initialInUnit[ 3 ]; - - // Make sure we update the tween properties later on - valueParts = valueParts || []; - - // Iteratively approximate from a nonzero starting point - initialInUnit = +initial || 1; - - do { - - // If previous iteration zeroed out, double until we get *something*. - // Use string for doubling so we don't accidentally see scale as unchanged below - scale = scale || ".5"; - - // Adjust and apply - initialInUnit = initialInUnit / scale; - jQuery.style( elem, prop, initialInUnit + unit ); - - // Update scale, tolerating zero or NaN from tween.cur() - // Break the loop if scale is unchanged or perfect, or if we've just had enough. - } while ( - scale !== ( scale = currentValue() / initial ) && scale !== 1 && --maxIterations - ); - } - - if ( valueParts ) { - initialInUnit = +initialInUnit || +initial || 0; - - // Apply relative offset (+=/-=) if specified - adjusted = valueParts[ 1 ] ? - initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] : - +valueParts[ 2 ]; - if ( tween ) { - tween.unit = unit; - tween.start = initialInUnit; - tween.end = adjusted; - } - } - return adjusted; -} - - -var defaultDisplayMap = {}; - -function getDefaultDisplay( elem ) { - var temp, - doc = elem.ownerDocument, - nodeName = elem.nodeName, - display = defaultDisplayMap[ nodeName ]; - - if ( display ) { - return display; - } - - temp = doc.body.appendChild( doc.createElement( nodeName ) ); - display = jQuery.css( temp, "display" ); - - temp.parentNode.removeChild( temp ); - - if ( display === "none" ) { - display = "block"; - } - defaultDisplayMap[ nodeName ] = display; - - return display; -} - -function showHide( elements, show ) { - var display, elem, - values = [], - index = 0, - length = elements.length; - - // Determine new display value for elements that need to change - for ( ; index < length; index++ ) { - elem = elements[ index ]; - if ( !elem.style ) { - continue; - } - - display = elem.style.display; - if ( show ) { - - // Since we force visibility upon cascade-hidden elements, an immediate (and slow) - // check is required in this first loop unless we have a nonempty display value (either - // inline or about-to-be-restored) - if ( display === "none" ) { - values[ index ] = dataPriv.get( elem, "display" ) || null; - if ( !values[ index ] ) { - elem.style.display = ""; - } - } - if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) { - values[ index ] = getDefaultDisplay( elem ); - } - } else { - if ( display !== "none" ) { - values[ index ] = "none"; - - // Remember what we're overwriting - dataPriv.set( elem, "display", display ); - } - } - } - - // Set the display of the elements in a second loop to avoid constant reflow - for ( index = 0; index < length; index++ ) { - if ( values[ index ] != null ) { - elements[ index ].style.display = values[ index ]; - } - } - - return elements; -} - -jQuery.fn.extend( { - show: function() { - return showHide( this, true ); - }, - hide: function() { - return showHide( this ); - }, - toggle: function( state ) { - if ( typeof state === "boolean" ) { - return state ? this.show() : this.hide(); - } - - return this.each( function() { - if ( isHiddenWithinTree( this ) ) { - jQuery( this ).show(); - } else { - jQuery( this ).hide(); - } - } ); - } -} ); -var rcheckableType = ( /^(?:checkbox|radio)$/i ); - -var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]+)/i ); - -var rscriptType = ( /^$|\/(?:java|ecma)script/i ); - - - -// We have to close these tags to support XHTML (#13200) -var wrapMap = { - - // Support: IE <=9 only - option: [ 1, "" ], - - // XHTML parsers do not magically insert elements in the - // same way that tag soup parsers do. So we cannot shorten - // this by omitting or other required elements. - thead: [ 1, "", "
          " ], - col: [ 2, "", "
          " ], - tr: [ 2, "", "
          " ], - td: [ 3, "", "
          " ], - - _default: [ 0, "", "" ] -}; - -// Support: IE <=9 only -wrapMap.optgroup = wrapMap.option; - -wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; -wrapMap.th = wrapMap.td; - - -function getAll( context, tag ) { - - // Support: IE <=9 - 11 only - // Use typeof to avoid zero-argument method invocation on host objects (#15151) - var ret; - - if ( typeof context.getElementsByTagName !== "undefined" ) { - ret = context.getElementsByTagName( tag || "*" ); - - } else if ( typeof context.querySelectorAll !== "undefined" ) { - ret = context.querySelectorAll( tag || "*" ); - - } else { - ret = []; - } - - if ( tag === undefined || tag && nodeName( context, tag ) ) { - return jQuery.merge( [ context ], ret ); - } - - return ret; -} - - -// Mark scripts as having already been evaluated -function setGlobalEval( elems, refElements ) { - var i = 0, - l = elems.length; - - for ( ; i < l; i++ ) { - dataPriv.set( - elems[ i ], - "globalEval", - !refElements || dataPriv.get( refElements[ i ], "globalEval" ) - ); - } -} - - -var rhtml = /<|&#?\w+;/; - -function buildFragment( elems, context, scripts, selection, ignored ) { - var elem, tmp, tag, wrap, contains, j, - fragment = context.createDocumentFragment(), - nodes = [], - i = 0, - l = elems.length; - - for ( ; i < l; i++ ) { - elem = elems[ i ]; - - if ( elem || elem === 0 ) { - - // Add nodes directly - if ( jQuery.type( elem ) === "object" ) { - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); - - // Convert non-html into a text node - } else if ( !rhtml.test( elem ) ) { - nodes.push( context.createTextNode( elem ) ); - - // Convert html into DOM nodes - } else { - tmp = tmp || fragment.appendChild( context.createElement( "div" ) ); - - // Deserialize a standard representation - tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase(); - wrap = wrapMap[ tag ] || wrapMap._default; - tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ]; - - // Descend through wrappers to the right content - j = wrap[ 0 ]; - while ( j-- ) { - tmp = tmp.lastChild; - } - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( nodes, tmp.childNodes ); - - // Remember the top-level container - tmp = fragment.firstChild; - - // Ensure the created nodes are orphaned (#12392) - tmp.textContent = ""; - } - } - } - - // Remove wrapper from fragment - fragment.textContent = ""; - - i = 0; - while ( ( elem = nodes[ i++ ] ) ) { - - // Skip elements already in the context collection (trac-4087) - if ( selection && jQuery.inArray( elem, selection ) > -1 ) { - if ( ignored ) { - ignored.push( elem ); - } - continue; - } - - contains = jQuery.contains( elem.ownerDocument, elem ); - - // Append to fragment - tmp = getAll( fragment.appendChild( elem ), "script" ); - - // Preserve script evaluation history - if ( contains ) { - setGlobalEval( tmp ); - } - - // Capture executables - if ( scripts ) { - j = 0; - while ( ( elem = tmp[ j++ ] ) ) { - if ( rscriptType.test( elem.type || "" ) ) { - scripts.push( elem ); - } - } - } - } - - return fragment; -} - - -( function() { - var fragment = document.createDocumentFragment(), - div = fragment.appendChild( document.createElement( "div" ) ), - input = document.createElement( "input" ); - - // Support: Android 4.0 - 4.3 only - // Check state lost if the name is set (#11217) - // Support: Windows Web Apps (WWA) - // `name` and `type` must use .setAttribute for WWA (#14901) - input.setAttribute( "type", "radio" ); - input.setAttribute( "checked", "checked" ); - input.setAttribute( "name", "t" ); - - div.appendChild( input ); - - // Support: Android <=4.1 only - // Older WebKit doesn't clone checked state correctly in fragments - support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; - - // Support: IE <=11 only - // Make sure textarea (and checkbox) defaultValue is properly cloned - div.innerHTML = ""; - support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; -} )(); -var documentElement = document.documentElement; - - - -var - rkeyEvent = /^key/, - rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/, - rtypenamespace = /^([^.]*)(?:\.(.+)|)/; - -function returnTrue() { - return true; -} - -function returnFalse() { - return false; -} - -// Support: IE <=9 only -// See #13393 for more info -function safeActiveElement() { - try { - return document.activeElement; - } catch ( err ) { } -} - -function on( elem, types, selector, data, fn, one ) { - var origFn, type; - - // Types can be a map of types/handlers - if ( typeof types === "object" ) { - - // ( types-Object, selector, data ) - if ( typeof selector !== "string" ) { - - // ( types-Object, data ) - data = data || selector; - selector = undefined; - } - for ( type in types ) { - on( elem, type, selector, data, types[ type ], one ); - } - return elem; - } - - if ( data == null && fn == null ) { - - // ( types, fn ) - fn = selector; - data = selector = undefined; - } else if ( fn == null ) { - if ( typeof selector === "string" ) { - - // ( types, selector, fn ) - fn = data; - data = undefined; - } else { - - // ( types, data, fn ) - fn = data; - data = selector; - selector = undefined; - } - } - if ( fn === false ) { - fn = returnFalse; - } else if ( !fn ) { - return elem; - } - - if ( one === 1 ) { - origFn = fn; - fn = function( event ) { - - // Can use an empty set, since event contains the info - jQuery().off( event ); - return origFn.apply( this, arguments ); - }; - - // Use same guid so caller can remove using origFn - fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); - } - return elem.each( function() { - jQuery.event.add( this, types, fn, data, selector ); - } ); -} - -/* - * Helper functions for managing events -- not part of the public interface. - * Props to Dean Edwards' addEvent library for many of the ideas. - */ -jQuery.event = { - - global: {}, - - add: function( elem, types, handler, data, selector ) { - - var handleObjIn, eventHandle, tmp, - events, t, handleObj, - special, handlers, type, namespaces, origType, - elemData = dataPriv.get( elem ); - - // Don't attach events to noData or text/comment nodes (but allow plain objects) - if ( !elemData ) { - return; - } - - // Caller can pass in an object of custom data in lieu of the handler - if ( handler.handler ) { - handleObjIn = handler; - handler = handleObjIn.handler; - selector = handleObjIn.selector; - } - - // Ensure that invalid selectors throw exceptions at attach time - // Evaluate against documentElement in case elem is a non-element node (e.g., document) - if ( selector ) { - jQuery.find.matchesSelector( documentElement, selector ); - } - - // Make sure that the handler has a unique ID, used to find/remove it later - if ( !handler.guid ) { - handler.guid = jQuery.guid++; - } - - // Init the element's event structure and main handler, if this is the first - if ( !( events = elemData.events ) ) { - events = elemData.events = {}; - } - if ( !( eventHandle = elemData.handle ) ) { - eventHandle = elemData.handle = function( e ) { - - // Discard the second event of a jQuery.event.trigger() and - // when an event is called after a page has unloaded - return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ? - jQuery.event.dispatch.apply( elem, arguments ) : undefined; - }; - } - - // Handle multiple events separated by a space - types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[ t ] ) || []; - type = origType = tmp[ 1 ]; - namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); - - // There *must* be a type, no attaching namespace-only handlers - if ( !type ) { - continue; - } - - // If event changes its type, use the special event handlers for the changed type - special = jQuery.event.special[ type ] || {}; - - // If selector defined, determine special event api type, otherwise given type - type = ( selector ? special.delegateType : special.bindType ) || type; - - // Update special based on newly reset type - special = jQuery.event.special[ type ] || {}; - - // handleObj is passed to all event handlers - handleObj = jQuery.extend( { - type: type, - origType: origType, - data: data, - handler: handler, - guid: handler.guid, - selector: selector, - needsContext: selector && jQuery.expr.match.needsContext.test( selector ), - namespace: namespaces.join( "." ) - }, handleObjIn ); - - // Init the event handler queue if we're the first - if ( !( handlers = events[ type ] ) ) { - handlers = events[ type ] = []; - handlers.delegateCount = 0; - - // Only use addEventListener if the special events handler returns false - if ( !special.setup || - special.setup.call( elem, data, namespaces, eventHandle ) === false ) { - - if ( elem.addEventListener ) { - elem.addEventListener( type, eventHandle ); - } - } - } - - if ( special.add ) { - special.add.call( elem, handleObj ); - - if ( !handleObj.handler.guid ) { - handleObj.handler.guid = handler.guid; - } - } - - // Add to the element's handler list, delegates in front - if ( selector ) { - handlers.splice( handlers.delegateCount++, 0, handleObj ); - } else { - handlers.push( handleObj ); - } - - // Keep track of which events have ever been used, for event optimization - jQuery.event.global[ type ] = true; - } - - }, - - // Detach an event or set of events from an element - remove: function( elem, types, handler, selector, mappedTypes ) { - - var j, origCount, tmp, - events, t, handleObj, - special, handlers, type, namespaces, origType, - elemData = dataPriv.hasData( elem ) && dataPriv.get( elem ); - - if ( !elemData || !( events = elemData.events ) ) { - return; - } - - // Once for each type.namespace in types; type may be omitted - types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[ t ] ) || []; - type = origType = tmp[ 1 ]; - namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); - - // Unbind all events (on this namespace, if provided) for the element - if ( !type ) { - for ( type in events ) { - jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); - } - continue; - } - - special = jQuery.event.special[ type ] || {}; - type = ( selector ? special.delegateType : special.bindType ) || type; - handlers = events[ type ] || []; - tmp = tmp[ 2 ] && - new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ); - - // Remove matching events - origCount = j = handlers.length; - while ( j-- ) { - handleObj = handlers[ j ]; - - if ( ( mappedTypes || origType === handleObj.origType ) && - ( !handler || handler.guid === handleObj.guid ) && - ( !tmp || tmp.test( handleObj.namespace ) ) && - ( !selector || selector === handleObj.selector || - selector === "**" && handleObj.selector ) ) { - handlers.splice( j, 1 ); - - if ( handleObj.selector ) { - handlers.delegateCount--; - } - if ( special.remove ) { - special.remove.call( elem, handleObj ); - } - } - } - - // Remove generic event handler if we removed something and no more handlers exist - // (avoids potential for endless recursion during removal of special event handlers) - if ( origCount && !handlers.length ) { - if ( !special.teardown || - special.teardown.call( elem, namespaces, elemData.handle ) === false ) { - - jQuery.removeEvent( elem, type, elemData.handle ); - } - - delete events[ type ]; - } - } - - // Remove data and the expando if it's no longer used - if ( jQuery.isEmptyObject( events ) ) { - dataPriv.remove( elem, "handle events" ); - } - }, - - dispatch: function( nativeEvent ) { - - // Make a writable jQuery.Event from the native event object - var event = jQuery.event.fix( nativeEvent ); - - var i, j, ret, matched, handleObj, handlerQueue, - args = new Array( arguments.length ), - handlers = ( dataPriv.get( this, "events" ) || {} )[ event.type ] || [], - special = jQuery.event.special[ event.type ] || {}; - - // Use the fix-ed jQuery.Event rather than the (read-only) native event - args[ 0 ] = event; - - for ( i = 1; i < arguments.length; i++ ) { - args[ i ] = arguments[ i ]; - } - - event.delegateTarget = this; - - // Call the preDispatch hook for the mapped type, and let it bail if desired - if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { - return; - } - - // Determine handlers - handlerQueue = jQuery.event.handlers.call( this, event, handlers ); - - // Run delegates first; they may want to stop propagation beneath us - i = 0; - while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) { - event.currentTarget = matched.elem; - - j = 0; - while ( ( handleObj = matched.handlers[ j++ ] ) && - !event.isImmediatePropagationStopped() ) { - - // Triggered event must either 1) have no namespace, or 2) have namespace(s) - // a subset or equal to those in the bound event (both can have no namespace). - if ( !event.rnamespace || event.rnamespace.test( handleObj.namespace ) ) { - - event.handleObj = handleObj; - event.data = handleObj.data; - - ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle || - handleObj.handler ).apply( matched.elem, args ); - - if ( ret !== undefined ) { - if ( ( event.result = ret ) === false ) { - event.preventDefault(); - event.stopPropagation(); - } - } - } - } - } - - // Call the postDispatch hook for the mapped type - if ( special.postDispatch ) { - special.postDispatch.call( this, event ); - } - - return event.result; - }, - - handlers: function( event, handlers ) { - var i, handleObj, sel, matchedHandlers, matchedSelectors, - handlerQueue = [], - delegateCount = handlers.delegateCount, - cur = event.target; - - // Find delegate handlers - if ( delegateCount && - - // Support: IE <=9 - // Black-hole SVG instance trees (trac-13180) - cur.nodeType && - - // Support: Firefox <=42 - // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861) - // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click - // Support: IE 11 only - // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343) - !( event.type === "click" && event.button >= 1 ) ) { - - for ( ; cur !== this; cur = cur.parentNode || this ) { - - // Don't check non-elements (#13208) - // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) - if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) { - matchedHandlers = []; - matchedSelectors = {}; - for ( i = 0; i < delegateCount; i++ ) { - handleObj = handlers[ i ]; - - // Don't conflict with Object.prototype properties (#13203) - sel = handleObj.selector + " "; - - if ( matchedSelectors[ sel ] === undefined ) { - matchedSelectors[ sel ] = handleObj.needsContext ? - jQuery( sel, this ).index( cur ) > -1 : - jQuery.find( sel, this, null, [ cur ] ).length; - } - if ( matchedSelectors[ sel ] ) { - matchedHandlers.push( handleObj ); - } - } - if ( matchedHandlers.length ) { - handlerQueue.push( { elem: cur, handlers: matchedHandlers } ); - } - } - } - } - - // Add the remaining (directly-bound) handlers - cur = this; - if ( delegateCount < handlers.length ) { - handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } ); - } - - return handlerQueue; - }, - - addProp: function( name, hook ) { - Object.defineProperty( jQuery.Event.prototype, name, { - enumerable: true, - configurable: true, - - get: jQuery.isFunction( hook ) ? - function() { - if ( this.originalEvent ) { - return hook( this.originalEvent ); - } - } : - function() { - if ( this.originalEvent ) { - return this.originalEvent[ name ]; - } - }, - - set: function( value ) { - Object.defineProperty( this, name, { - enumerable: true, - configurable: true, - writable: true, - value: value - } ); - } - } ); - }, - - fix: function( originalEvent ) { - return originalEvent[ jQuery.expando ] ? - originalEvent : - new jQuery.Event( originalEvent ); - }, - - special: { - load: { - - // Prevent triggered image.load events from bubbling to window.load - noBubble: true - }, - focus: { - - // Fire native event if possible so blur/focus sequence is correct - trigger: function() { - if ( this !== safeActiveElement() && this.focus ) { - this.focus(); - return false; - } - }, - delegateType: "focusin" - }, - blur: { - trigger: function() { - if ( this === safeActiveElement() && this.blur ) { - this.blur(); - return false; - } - }, - delegateType: "focusout" - }, - click: { - - // For checkbox, fire native event so checked state will be right - trigger: function() { - if ( this.type === "checkbox" && this.click && nodeName( this, "input" ) ) { - this.click(); - return false; - } - }, - - // For cross-browser consistency, don't fire native .click() on links - _default: function( event ) { - return nodeName( event.target, "a" ); - } - }, - - beforeunload: { - postDispatch: function( event ) { - - // Support: Firefox 20+ - // Firefox doesn't alert if the returnValue field is not set. - if ( event.result !== undefined && event.originalEvent ) { - event.originalEvent.returnValue = event.result; - } - } - } - } -}; - -jQuery.removeEvent = function( elem, type, handle ) { - - // This "if" is needed for plain objects - if ( elem.removeEventListener ) { - elem.removeEventListener( type, handle ); - } -}; - -jQuery.Event = function( src, props ) { - - // Allow instantiation without the 'new' keyword - if ( !( this instanceof jQuery.Event ) ) { - return new jQuery.Event( src, props ); - } - - // Event object - if ( src && src.type ) { - this.originalEvent = src; - this.type = src.type; - - // Events bubbling up the document may have been marked as prevented - // by a handler lower down the tree; reflect the correct value. - this.isDefaultPrevented = src.defaultPrevented || - src.defaultPrevented === undefined && - - // Support: Android <=2.3 only - src.returnValue === false ? - returnTrue : - returnFalse; - - // Create target properties - // Support: Safari <=6 - 7 only - // Target should not be a text node (#504, #13143) - this.target = ( src.target && src.target.nodeType === 3 ) ? - src.target.parentNode : - src.target; - - this.currentTarget = src.currentTarget; - this.relatedTarget = src.relatedTarget; - - // Event type - } else { - this.type = src; - } - - // Put explicitly provided properties onto the event object - if ( props ) { - jQuery.extend( this, props ); - } - - // Create a timestamp if incoming event doesn't have one - this.timeStamp = src && src.timeStamp || jQuery.now(); - - // Mark it as fixed - this[ jQuery.expando ] = true; -}; - -// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding -// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html -jQuery.Event.prototype = { - constructor: jQuery.Event, - isDefaultPrevented: returnFalse, - isPropagationStopped: returnFalse, - isImmediatePropagationStopped: returnFalse, - isSimulated: false, - - preventDefault: function() { - var e = this.originalEvent; - - this.isDefaultPrevented = returnTrue; - - if ( e && !this.isSimulated ) { - e.preventDefault(); - } - }, - stopPropagation: function() { - var e = this.originalEvent; - - this.isPropagationStopped = returnTrue; - - if ( e && !this.isSimulated ) { - e.stopPropagation(); - } - }, - stopImmediatePropagation: function() { - var e = this.originalEvent; - - this.isImmediatePropagationStopped = returnTrue; - - if ( e && !this.isSimulated ) { - e.stopImmediatePropagation(); - } - - this.stopPropagation(); - } -}; - -// Includes all common event props including KeyEvent and MouseEvent specific props -jQuery.each( { - altKey: true, - bubbles: true, - cancelable: true, - changedTouches: true, - ctrlKey: true, - detail: true, - eventPhase: true, - metaKey: true, - pageX: true, - pageY: true, - shiftKey: true, - view: true, - "char": true, - charCode: true, - key: true, - keyCode: true, - button: true, - buttons: true, - clientX: true, - clientY: true, - offsetX: true, - offsetY: true, - pointerId: true, - pointerType: true, - screenX: true, - screenY: true, - targetTouches: true, - toElement: true, - touches: true, - - which: function( event ) { - var button = event.button; - - // Add which for key events - if ( event.which == null && rkeyEvent.test( event.type ) ) { - return event.charCode != null ? event.charCode : event.keyCode; - } - - // Add which for click: 1 === left; 2 === middle; 3 === right - if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) { - if ( button & 1 ) { - return 1; - } - - if ( button & 2 ) { - return 3; - } - - if ( button & 4 ) { - return 2; - } - - return 0; - } - - return event.which; - } -}, jQuery.event.addProp ); - -// Create mouseenter/leave events using mouseover/out and event-time checks -// so that event delegation works in jQuery. -// Do the same for pointerenter/pointerleave and pointerover/pointerout -// -// Support: Safari 7 only -// Safari sends mouseenter too often; see: -// https://bugs.chromium.org/p/chromium/issues/detail?id=470258 -// for the description of the bug (it existed in older Chrome versions as well). -jQuery.each( { - mouseenter: "mouseover", - mouseleave: "mouseout", - pointerenter: "pointerover", - pointerleave: "pointerout" -}, function( orig, fix ) { - jQuery.event.special[ orig ] = { - delegateType: fix, - bindType: fix, - - handle: function( event ) { - var ret, - target = this, - related = event.relatedTarget, - handleObj = event.handleObj; - - // For mouseenter/leave call the handler if related is outside the target. - // NB: No relatedTarget if the mouse left/entered the browser window - if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) { - event.type = handleObj.origType; - ret = handleObj.handler.apply( this, arguments ); - event.type = fix; - } - return ret; - } - }; -} ); - -jQuery.fn.extend( { - - on: function( types, selector, data, fn ) { - return on( this, types, selector, data, fn ); - }, - one: function( types, selector, data, fn ) { - return on( this, types, selector, data, fn, 1 ); - }, - off: function( types, selector, fn ) { - var handleObj, type; - if ( types && types.preventDefault && types.handleObj ) { - - // ( event ) dispatched jQuery.Event - handleObj = types.handleObj; - jQuery( types.delegateTarget ).off( - handleObj.namespace ? - handleObj.origType + "." + handleObj.namespace : - handleObj.origType, - handleObj.selector, - handleObj.handler - ); - return this; - } - if ( typeof types === "object" ) { - - // ( types-object [, selector] ) - for ( type in types ) { - this.off( type, selector, types[ type ] ); - } - return this; - } - if ( selector === false || typeof selector === "function" ) { - - // ( types [, fn] ) - fn = selector; - selector = undefined; - } - if ( fn === false ) { - fn = returnFalse; - } - return this.each( function() { - jQuery.event.remove( this, types, fn, selector ); - } ); - } -} ); - - -var - - /* eslint-disable max-len */ - - // See https://github.com/eslint/eslint/issues/3229 - rxhtmlTag = /<(?!area|br|col|embed|hr|img|input|link|meta|param)(([a-z][^\/\0>\x20\t\r\n\f]*)[^>]*)\/>/gi, - - /* eslint-enable */ - - // Support: IE <=10 - 11, Edge 12 - 13 - // In IE/Edge using regex groups here causes severe slowdowns. - // See https://connect.microsoft.com/IE/feedback/details/1736512/ - rnoInnerhtml = /\s*$/g; - -// Prefer a tbody over its parent table for containing new rows -function manipulationTarget( elem, content ) { - if ( nodeName( elem, "table" ) && - nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { - - return jQuery( ">tbody", elem )[ 0 ] || elem; - } - - return elem; -} - -// Replace/restore the type attribute of script elements for safe DOM manipulation -function disableScript( elem ) { - elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type; - return elem; -} -function restoreScript( elem ) { - var match = rscriptTypeMasked.exec( elem.type ); - - if ( match ) { - elem.type = match[ 1 ]; - } else { - elem.removeAttribute( "type" ); - } - - return elem; -} - -function cloneCopyEvent( src, dest ) { - var i, l, type, pdataOld, pdataCur, udataOld, udataCur, events; - - if ( dest.nodeType !== 1 ) { - return; - } - - // 1. Copy private data: events, handlers, etc. - if ( dataPriv.hasData( src ) ) { - pdataOld = dataPriv.access( src ); - pdataCur = dataPriv.set( dest, pdataOld ); - events = pdataOld.events; - - if ( events ) { - delete pdataCur.handle; - pdataCur.events = {}; - - for ( type in events ) { - for ( i = 0, l = events[ type ].length; i < l; i++ ) { - jQuery.event.add( dest, type, events[ type ][ i ] ); - } - } - } - } - - // 2. Copy user data - if ( dataUser.hasData( src ) ) { - udataOld = dataUser.access( src ); - udataCur = jQuery.extend( {}, udataOld ); - - dataUser.set( dest, udataCur ); - } -} - -// Fix IE bugs, see support tests -function fixInput( src, dest ) { - var nodeName = dest.nodeName.toLowerCase(); - - // Fails to persist the checked state of a cloned checkbox or radio button. - if ( nodeName === "input" && rcheckableType.test( src.type ) ) { - dest.checked = src.checked; - - // Fails to return the selected option to the default selected state when cloning options - } else if ( nodeName === "input" || nodeName === "textarea" ) { - dest.defaultValue = src.defaultValue; - } -} - -function domManip( collection, args, callback, ignored ) { - - // Flatten any nested arrays - args = concat.apply( [], args ); - - var fragment, first, scripts, hasScripts, node, doc, - i = 0, - l = collection.length, - iNoClone = l - 1, - value = args[ 0 ], - isFunction = jQuery.isFunction( value ); - - // We can't cloneNode fragments that contain checked, in WebKit - if ( isFunction || - ( l > 1 && typeof value === "string" && - !support.checkClone && rchecked.test( value ) ) ) { - return collection.each( function( index ) { - var self = collection.eq( index ); - if ( isFunction ) { - args[ 0 ] = value.call( this, index, self.html() ); - } - domManip( self, args, callback, ignored ); - } ); - } - - if ( l ) { - fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored ); - first = fragment.firstChild; - - if ( fragment.childNodes.length === 1 ) { - fragment = first; - } - - // Require either new content or an interest in ignored elements to invoke the callback - if ( first || ignored ) { - scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); - hasScripts = scripts.length; - - // Use the original fragment for the last item - // instead of the first because it can end up - // being emptied incorrectly in certain situations (#8070). - for ( ; i < l; i++ ) { - node = fragment; - - if ( i !== iNoClone ) { - node = jQuery.clone( node, true, true ); - - // Keep references to cloned scripts for later restoration - if ( hasScripts ) { - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( scripts, getAll( node, "script" ) ); - } - } - - callback.call( collection[ i ], node, i ); - } - - if ( hasScripts ) { - doc = scripts[ scripts.length - 1 ].ownerDocument; - - // Reenable scripts - jQuery.map( scripts, restoreScript ); - - // Evaluate executable scripts on first document insertion - for ( i = 0; i < hasScripts; i++ ) { - node = scripts[ i ]; - if ( rscriptType.test( node.type || "" ) && - !dataPriv.access( node, "globalEval" ) && - jQuery.contains( doc, node ) ) { - - if ( node.src ) { - - // Optional AJAX dependency, but won't run scripts if not present - if ( jQuery._evalUrl ) { - jQuery._evalUrl( node.src ); - } - } else { - DOMEval( node.textContent.replace( rcleanScript, "" ), doc ); - } - } - } - } - } - } - - return collection; -} - -function remove( elem, selector, keepData ) { - var node, - nodes = selector ? jQuery.filter( selector, elem ) : elem, - i = 0; - - for ( ; ( node = nodes[ i ] ) != null; i++ ) { - if ( !keepData && node.nodeType === 1 ) { - jQuery.cleanData( getAll( node ) ); - } - - if ( node.parentNode ) { - if ( keepData && jQuery.contains( node.ownerDocument, node ) ) { - setGlobalEval( getAll( node, "script" ) ); - } - node.parentNode.removeChild( node ); - } - } - - return elem; -} - -jQuery.extend( { - htmlPrefilter: function( html ) { - return html.replace( rxhtmlTag, "<$1>" ); - }, - - clone: function( elem, dataAndEvents, deepDataAndEvents ) { - var i, l, srcElements, destElements, - clone = elem.cloneNode( true ), - inPage = jQuery.contains( elem.ownerDocument, elem ); - - // Fix IE cloning issues - if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && - !jQuery.isXMLDoc( elem ) ) { - - // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2 - destElements = getAll( clone ); - srcElements = getAll( elem ); - - for ( i = 0, l = srcElements.length; i < l; i++ ) { - fixInput( srcElements[ i ], destElements[ i ] ); - } - } - - // Copy the events from the original to the clone - if ( dataAndEvents ) { - if ( deepDataAndEvents ) { - srcElements = srcElements || getAll( elem ); - destElements = destElements || getAll( clone ); - - for ( i = 0, l = srcElements.length; i < l; i++ ) { - cloneCopyEvent( srcElements[ i ], destElements[ i ] ); - } - } else { - cloneCopyEvent( elem, clone ); - } - } - - // Preserve script evaluation history - destElements = getAll( clone, "script" ); - if ( destElements.length > 0 ) { - setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); - } - - // Return the cloned set - return clone; - }, - - cleanData: function( elems ) { - var data, elem, type, - special = jQuery.event.special, - i = 0; - - for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) { - if ( acceptData( elem ) ) { - if ( ( data = elem[ dataPriv.expando ] ) ) { - if ( data.events ) { - for ( type in data.events ) { - if ( special[ type ] ) { - jQuery.event.remove( elem, type ); - - // This is a shortcut to avoid jQuery.event.remove's overhead - } else { - jQuery.removeEvent( elem, type, data.handle ); - } - } - } - - // Support: Chrome <=35 - 45+ - // Assign undefined instead of using delete, see Data#remove - elem[ dataPriv.expando ] = undefined; - } - if ( elem[ dataUser.expando ] ) { - - // Support: Chrome <=35 - 45+ - // Assign undefined instead of using delete, see Data#remove - elem[ dataUser.expando ] = undefined; - } - } - } - } -} ); - -jQuery.fn.extend( { - detach: function( selector ) { - return remove( this, selector, true ); - }, - - remove: function( selector ) { - return remove( this, selector ); - }, - - text: function( value ) { - return access( this, function( value ) { - return value === undefined ? - jQuery.text( this ) : - this.empty().each( function() { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - this.textContent = value; - } - } ); - }, null, value, arguments.length ); - }, - - append: function() { - return domManip( this, arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.appendChild( elem ); - } - } ); - }, - - prepend: function() { - return domManip( this, arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.insertBefore( elem, target.firstChild ); - } - } ); - }, - - before: function() { - return domManip( this, arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this ); - } - } ); - }, - - after: function() { - return domManip( this, arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this.nextSibling ); - } - } ); - }, - - empty: function() { - var elem, - i = 0; - - for ( ; ( elem = this[ i ] ) != null; i++ ) { - if ( elem.nodeType === 1 ) { - - // Prevent memory leaks - jQuery.cleanData( getAll( elem, false ) ); - - // Remove any remaining nodes - elem.textContent = ""; - } - } - - return this; - }, - - clone: function( dataAndEvents, deepDataAndEvents ) { - dataAndEvents = dataAndEvents == null ? false : dataAndEvents; - deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; - - return this.map( function() { - return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); - } ); - }, - - html: function( value ) { - return access( this, function( value ) { - var elem = this[ 0 ] || {}, - i = 0, - l = this.length; - - if ( value === undefined && elem.nodeType === 1 ) { - return elem.innerHTML; - } - - // See if we can take a shortcut and just use innerHTML - if ( typeof value === "string" && !rnoInnerhtml.test( value ) && - !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { - - value = jQuery.htmlPrefilter( value ); - - try { - for ( ; i < l; i++ ) { - elem = this[ i ] || {}; - - // Remove element nodes and prevent memory leaks - if ( elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem, false ) ); - elem.innerHTML = value; - } - } - - elem = 0; - - // If using innerHTML throws an exception, use the fallback method - } catch ( e ) {} - } - - if ( elem ) { - this.empty().append( value ); - } - }, null, value, arguments.length ); - }, - - replaceWith: function() { - var ignored = []; - - // Make the changes, replacing each non-ignored context element with the new content - return domManip( this, arguments, function( elem ) { - var parent = this.parentNode; - - if ( jQuery.inArray( this, ignored ) < 0 ) { - jQuery.cleanData( getAll( this ) ); - if ( parent ) { - parent.replaceChild( elem, this ); - } - } - - // Force callback invocation - }, ignored ); - } -} ); - -jQuery.each( { - appendTo: "append", - prependTo: "prepend", - insertBefore: "before", - insertAfter: "after", - replaceAll: "replaceWith" -}, function( name, original ) { - jQuery.fn[ name ] = function( selector ) { - var elems, - ret = [], - insert = jQuery( selector ), - last = insert.length - 1, - i = 0; - - for ( ; i <= last; i++ ) { - elems = i === last ? this : this.clone( true ); - jQuery( insert[ i ] )[ original ]( elems ); - - // Support: Android <=4.0 only, PhantomJS 1 only - // .get() because push.apply(_, arraylike) throws on ancient WebKit - push.apply( ret, elems.get() ); - } - - return this.pushStack( ret ); - }; -} ); -var rmargin = ( /^margin/ ); - -var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); - -var getStyles = function( elem ) { - - // Support: IE <=11 only, Firefox <=30 (#15098, #14150) - // IE throws on elements created in popups - // FF meanwhile throws on frame elements through "defaultView.getComputedStyle" - var view = elem.ownerDocument.defaultView; - - if ( !view || !view.opener ) { - view = window; - } - - return view.getComputedStyle( elem ); - }; - - - -( function() { - - // Executing both pixelPosition & boxSizingReliable tests require only one layout - // so they're executed at the same time to save the second computation. - function computeStyleTests() { - - // This is a singleton, we need to execute it only once - if ( !div ) { - return; - } - - div.style.cssText = - "box-sizing:border-box;" + - "position:relative;display:block;" + - "margin:auto;border:1px;padding:1px;" + - "top:1%;width:50%"; - div.innerHTML = ""; - documentElement.appendChild( container ); - - var divStyle = window.getComputedStyle( div ); - pixelPositionVal = divStyle.top !== "1%"; - - // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 - reliableMarginLeftVal = divStyle.marginLeft === "2px"; - boxSizingReliableVal = divStyle.width === "4px"; - - // Support: Android 4.0 - 4.3 only - // Some styles come back with percentage values, even though they shouldn't - div.style.marginRight = "50%"; - pixelMarginRightVal = divStyle.marginRight === "4px"; - - documentElement.removeChild( container ); - - // Nullify the div so it wouldn't be stored in the memory and - // it will also be a sign that checks already performed - div = null; - } - - var pixelPositionVal, boxSizingReliableVal, pixelMarginRightVal, reliableMarginLeftVal, - container = document.createElement( "div" ), - div = document.createElement( "div" ); - - // Finish early in limited (non-browser) environments - if ( !div.style ) { - return; - } - - // Support: IE <=9 - 11 only - // Style of cloned element affects source element cloned (#8908) - div.style.backgroundClip = "content-box"; - div.cloneNode( true ).style.backgroundClip = ""; - support.clearCloneStyle = div.style.backgroundClip === "content-box"; - - container.style.cssText = "border:0;width:8px;height:0;top:0;left:-9999px;" + - "padding:0;margin-top:1px;position:absolute"; - container.appendChild( div ); - - jQuery.extend( support, { - pixelPosition: function() { - computeStyleTests(); - return pixelPositionVal; - }, - boxSizingReliable: function() { - computeStyleTests(); - return boxSizingReliableVal; - }, - pixelMarginRight: function() { - computeStyleTests(); - return pixelMarginRightVal; - }, - reliableMarginLeft: function() { - computeStyleTests(); - return reliableMarginLeftVal; - } - } ); -} )(); - - -function curCSS( elem, name, computed ) { - var width, minWidth, maxWidth, ret, - - // Support: Firefox 51+ - // Retrieving style before computed somehow - // fixes an issue with getting wrong values - // on detached elements - style = elem.style; - - computed = computed || getStyles( elem ); - - // getPropertyValue is needed for: - // .css('filter') (IE 9 only, #12537) - // .css('--customProperty) (#3144) - if ( computed ) { - ret = computed.getPropertyValue( name ) || computed[ name ]; - - if ( ret === "" && !jQuery.contains( elem.ownerDocument, elem ) ) { - ret = jQuery.style( elem, name ); - } - - // A tribute to the "awesome hack by Dean Edwards" - // Android Browser returns percentage for some values, - // but width seems to be reliably pixels. - // This is against the CSSOM draft spec: - // https://drafts.csswg.org/cssom/#resolved-values - if ( !support.pixelMarginRight() && rnumnonpx.test( ret ) && rmargin.test( name ) ) { - - // Remember the original values - width = style.width; - minWidth = style.minWidth; - maxWidth = style.maxWidth; - - // Put in the new values to get a computed value out - style.minWidth = style.maxWidth = style.width = ret; - ret = computed.width; - - // Revert the changed values - style.width = width; - style.minWidth = minWidth; - style.maxWidth = maxWidth; - } - } - - return ret !== undefined ? - - // Support: IE <=9 - 11 only - // IE returns zIndex value as an integer. - ret + "" : - ret; -} - - -function addGetHookIf( conditionFn, hookFn ) { - - // Define the hook, we'll check on the first run if it's really needed. - return { - get: function() { - if ( conditionFn() ) { - - // Hook not needed (or it's not possible to use it due - // to missing dependency), remove it. - delete this.get; - return; - } - - // Hook needed; redefine it so that the support test is not executed again. - return ( this.get = hookFn ).apply( this, arguments ); - } - }; -} - - -var - - // Swappable if display is none or starts with table - // except "table", "table-cell", or "table-caption" - // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display - rdisplayswap = /^(none|table(?!-c[ea]).+)/, - rcustomProp = /^--/, - cssShow = { position: "absolute", visibility: "hidden", display: "block" }, - cssNormalTransform = { - letterSpacing: "0", - fontWeight: "400" - }, - - cssPrefixes = [ "Webkit", "Moz", "ms" ], - emptyStyle = document.createElement( "div" ).style; - -// Return a css property mapped to a potentially vendor prefixed property -function vendorPropName( name ) { - - // Shortcut for names that are not vendor prefixed - if ( name in emptyStyle ) { - return name; - } - - // Check for vendor prefixed names - var capName = name[ 0 ].toUpperCase() + name.slice( 1 ), - i = cssPrefixes.length; - - while ( i-- ) { - name = cssPrefixes[ i ] + capName; - if ( name in emptyStyle ) { - return name; - } - } -} - -// Return a property mapped along what jQuery.cssProps suggests or to -// a vendor prefixed property. -function finalPropName( name ) { - var ret = jQuery.cssProps[ name ]; - if ( !ret ) { - ret = jQuery.cssProps[ name ] = vendorPropName( name ) || name; - } - return ret; -} - -function setPositiveNumber( elem, value, subtract ) { - - // Any relative (+/-) values have already been - // normalized at this point - var matches = rcssNum.exec( value ); - return matches ? - - // Guard against undefined "subtract", e.g., when used as in cssHooks - Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) : - value; -} - -function augmentWidthOrHeight( elem, name, extra, isBorderBox, styles ) { - var i, - val = 0; - - // If we already have the right measurement, avoid augmentation - if ( extra === ( isBorderBox ? "border" : "content" ) ) { - i = 4; - - // Otherwise initialize for horizontal or vertical properties - } else { - i = name === "width" ? 1 : 0; - } - - for ( ; i < 4; i += 2 ) { - - // Both box models exclude margin, so add it if we want it - if ( extra === "margin" ) { - val += jQuery.css( elem, extra + cssExpand[ i ], true, styles ); - } - - if ( isBorderBox ) { - - // border-box includes padding, so remove it if we want content - if ( extra === "content" ) { - val -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - } - - // At this point, extra isn't border nor margin, so remove border - if ( extra !== "margin" ) { - val -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - } - } else { - - // At this point, extra isn't content, so add padding - val += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - - // At this point, extra isn't content nor padding, so add border - if ( extra !== "padding" ) { - val += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - } - } - } - - return val; -} - -function getWidthOrHeight( elem, name, extra ) { - - // Start with computed style - var valueIsBorderBox, - styles = getStyles( elem ), - val = curCSS( elem, name, styles ), - isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; - - // Computed unit is not pixels. Stop here and return. - if ( rnumnonpx.test( val ) ) { - return val; - } - - // Check for style in case a browser which returns unreliable values - // for getComputedStyle silently falls back to the reliable elem.style - valueIsBorderBox = isBorderBox && - ( support.boxSizingReliable() || val === elem.style[ name ] ); - - // Fall back to offsetWidth/Height when value is "auto" - // This happens for inline elements with no explicit setting (gh-3571) - if ( val === "auto" ) { - val = elem[ "offset" + name[ 0 ].toUpperCase() + name.slice( 1 ) ]; - } - - // Normalize "", auto, and prepare for extra - val = parseFloat( val ) || 0; - - // Use the active box-sizing model to add/subtract irrelevant styles - return ( val + - augmentWidthOrHeight( - elem, - name, - extra || ( isBorderBox ? "border" : "content" ), - valueIsBorderBox, - styles - ) - ) + "px"; -} - -jQuery.extend( { - - // Add in style property hooks for overriding the default - // behavior of getting and setting a style property - cssHooks: { - opacity: { - get: function( elem, computed ) { - if ( computed ) { - - // We should always get a number back from opacity - var ret = curCSS( elem, "opacity" ); - return ret === "" ? "1" : ret; - } - } - } - }, - - // Don't automatically add "px" to these possibly-unitless properties - cssNumber: { - "animationIterationCount": true, - "columnCount": true, - "fillOpacity": true, - "flexGrow": true, - "flexShrink": true, - "fontWeight": true, - "lineHeight": true, - "opacity": true, - "order": true, - "orphans": true, - "widows": true, - "zIndex": true, - "zoom": true - }, - - // Add in properties whose names you wish to fix before - // setting or getting the value - cssProps: { - "float": "cssFloat" - }, - - // Get and set the style property on a DOM Node - style: function( elem, name, value, extra ) { - - // Don't set styles on text and comment nodes - if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { - return; - } - - // Make sure that we're working with the right name - var ret, type, hooks, - origName = jQuery.camelCase( name ), - isCustomProp = rcustomProp.test( name ), - style = elem.style; - - // Make sure that we're working with the right name. We don't - // want to query the value if it is a CSS custom property - // since they are user-defined. - if ( !isCustomProp ) { - name = finalPropName( origName ); - } - - // Gets hook for the prefixed version, then unprefixed version - hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; - - // Check if we're setting a value - if ( value !== undefined ) { - type = typeof value; - - // Convert "+=" or "-=" to relative numbers (#7345) - if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) { - value = adjustCSS( elem, name, ret ); - - // Fixes bug #9237 - type = "number"; - } - - // Make sure that null and NaN values aren't set (#7116) - if ( value == null || value !== value ) { - return; - } - - // If a number was passed in, add the unit (except for certain CSS properties) - if ( type === "number" ) { - value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" ); - } - - // background-* props affect original clone's values - if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) { - style[ name ] = "inherit"; - } - - // If a hook was provided, use that value, otherwise just set the specified value - if ( !hooks || !( "set" in hooks ) || - ( value = hooks.set( elem, value, extra ) ) !== undefined ) { - - if ( isCustomProp ) { - style.setProperty( name, value ); - } else { - style[ name ] = value; - } - } - - } else { - - // If a hook was provided get the non-computed value from there - if ( hooks && "get" in hooks && - ( ret = hooks.get( elem, false, extra ) ) !== undefined ) { - - return ret; - } - - // Otherwise just get the value from the style object - return style[ name ]; - } - }, - - css: function( elem, name, extra, styles ) { - var val, num, hooks, - origName = jQuery.camelCase( name ), - isCustomProp = rcustomProp.test( name ); - - // Make sure that we're working with the right name. We don't - // want to modify the value if it is a CSS custom property - // since they are user-defined. - if ( !isCustomProp ) { - name = finalPropName( origName ); - } - - // Try prefixed name followed by the unprefixed name - hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; - - // If a hook was provided get the computed value from there - if ( hooks && "get" in hooks ) { - val = hooks.get( elem, true, extra ); - } - - // Otherwise, if a way to get the computed value exists, use that - if ( val === undefined ) { - val = curCSS( elem, name, styles ); - } - - // Convert "normal" to computed value - if ( val === "normal" && name in cssNormalTransform ) { - val = cssNormalTransform[ name ]; - } - - // Make numeric if forced or a qualifier was provided and val looks numeric - if ( extra === "" || extra ) { - num = parseFloat( val ); - return extra === true || isFinite( num ) ? num || 0 : val; - } - - return val; - } -} ); - -jQuery.each( [ "height", "width" ], function( i, name ) { - jQuery.cssHooks[ name ] = { - get: function( elem, computed, extra ) { - if ( computed ) { - - // Certain elements can have dimension info if we invisibly show them - // but it must have a current display style that would benefit - return rdisplayswap.test( jQuery.css( elem, "display" ) ) && - - // Support: Safari 8+ - // Table columns in Safari have non-zero offsetWidth & zero - // getBoundingClientRect().width unless display is changed. - // Support: IE <=11 only - // Running getBoundingClientRect on a disconnected node - // in IE throws an error. - ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? - swap( elem, cssShow, function() { - return getWidthOrHeight( elem, name, extra ); - } ) : - getWidthOrHeight( elem, name, extra ); - } - }, - - set: function( elem, value, extra ) { - var matches, - styles = extra && getStyles( elem ), - subtract = extra && augmentWidthOrHeight( - elem, - name, - extra, - jQuery.css( elem, "boxSizing", false, styles ) === "border-box", - styles - ); - - // Convert to pixels if value adjustment is needed - if ( subtract && ( matches = rcssNum.exec( value ) ) && - ( matches[ 3 ] || "px" ) !== "px" ) { - - elem.style[ name ] = value; - value = jQuery.css( elem, name ); - } - - return setPositiveNumber( elem, value, subtract ); - } - }; -} ); - -jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft, - function( elem, computed ) { - if ( computed ) { - return ( parseFloat( curCSS( elem, "marginLeft" ) ) || - elem.getBoundingClientRect().left - - swap( elem, { marginLeft: 0 }, function() { - return elem.getBoundingClientRect().left; - } ) - ) + "px"; - } - } -); - -// These hooks are used by animate to expand properties -jQuery.each( { - margin: "", - padding: "", - border: "Width" -}, function( prefix, suffix ) { - jQuery.cssHooks[ prefix + suffix ] = { - expand: function( value ) { - var i = 0, - expanded = {}, - - // Assumes a single number if not a string - parts = typeof value === "string" ? value.split( " " ) : [ value ]; - - for ( ; i < 4; i++ ) { - expanded[ prefix + cssExpand[ i ] + suffix ] = - parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; - } - - return expanded; - } - }; - - if ( !rmargin.test( prefix ) ) { - jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; - } -} ); - -jQuery.fn.extend( { - css: function( name, value ) { - return access( this, function( elem, name, value ) { - var styles, len, - map = {}, - i = 0; - - if ( Array.isArray( name ) ) { - styles = getStyles( elem ); - len = name.length; - - for ( ; i < len; i++ ) { - map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); - } - - return map; - } - - return value !== undefined ? - jQuery.style( elem, name, value ) : - jQuery.css( elem, name ); - }, name, value, arguments.length > 1 ); - } -} ); - - -function Tween( elem, options, prop, end, easing ) { - return new Tween.prototype.init( elem, options, prop, end, easing ); -} -jQuery.Tween = Tween; - -Tween.prototype = { - constructor: Tween, - init: function( elem, options, prop, end, easing, unit ) { - this.elem = elem; - this.prop = prop; - this.easing = easing || jQuery.easing._default; - this.options = options; - this.start = this.now = this.cur(); - this.end = end; - this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); - }, - cur: function() { - var hooks = Tween.propHooks[ this.prop ]; - - return hooks && hooks.get ? - hooks.get( this ) : - Tween.propHooks._default.get( this ); - }, - run: function( percent ) { - var eased, - hooks = Tween.propHooks[ this.prop ]; - - if ( this.options.duration ) { - this.pos = eased = jQuery.easing[ this.easing ]( - percent, this.options.duration * percent, 0, 1, this.options.duration - ); - } else { - this.pos = eased = percent; - } - this.now = ( this.end - this.start ) * eased + this.start; - - if ( this.options.step ) { - this.options.step.call( this.elem, this.now, this ); - } - - if ( hooks && hooks.set ) { - hooks.set( this ); - } else { - Tween.propHooks._default.set( this ); - } - return this; - } -}; - -Tween.prototype.init.prototype = Tween.prototype; - -Tween.propHooks = { - _default: { - get: function( tween ) { - var result; - - // Use a property on the element directly when it is not a DOM element, - // or when there is no matching style property that exists. - if ( tween.elem.nodeType !== 1 || - tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) { - return tween.elem[ tween.prop ]; - } - - // Passing an empty string as a 3rd parameter to .css will automatically - // attempt a parseFloat and fallback to a string if the parse fails. - // Simple values such as "10px" are parsed to Float; - // complex values such as "rotate(1rad)" are returned as-is. - result = jQuery.css( tween.elem, tween.prop, "" ); - - // Empty strings, null, undefined and "auto" are converted to 0. - return !result || result === "auto" ? 0 : result; - }, - set: function( tween ) { - - // Use step hook for back compat. - // Use cssHook if its there. - // Use .style if available and use plain properties where available. - if ( jQuery.fx.step[ tween.prop ] ) { - jQuery.fx.step[ tween.prop ]( tween ); - } else if ( tween.elem.nodeType === 1 && - ( tween.elem.style[ jQuery.cssProps[ tween.prop ] ] != null || - jQuery.cssHooks[ tween.prop ] ) ) { - jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); - } else { - tween.elem[ tween.prop ] = tween.now; - } - } - } -}; - -// Support: IE <=9 only -// Panic based approach to setting things on disconnected nodes -Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { - set: function( tween ) { - if ( tween.elem.nodeType && tween.elem.parentNode ) { - tween.elem[ tween.prop ] = tween.now; - } - } -}; - -jQuery.easing = { - linear: function( p ) { - return p; - }, - swing: function( p ) { - return 0.5 - Math.cos( p * Math.PI ) / 2; - }, - _default: "swing" -}; - -jQuery.fx = Tween.prototype.init; - -// Back compat <1.8 extension point -jQuery.fx.step = {}; - - - - -var - fxNow, inProgress, - rfxtypes = /^(?:toggle|show|hide)$/, - rrun = /queueHooks$/; - -function schedule() { - if ( inProgress ) { - if ( document.hidden === false && window.requestAnimationFrame ) { - window.requestAnimationFrame( schedule ); - } else { - window.setTimeout( schedule, jQuery.fx.interval ); - } - - jQuery.fx.tick(); - } -} - -// Animations created synchronously will run synchronously -function createFxNow() { - window.setTimeout( function() { - fxNow = undefined; - } ); - return ( fxNow = jQuery.now() ); -} - -// Generate parameters to create a standard animation -function genFx( type, includeWidth ) { - var which, - i = 0, - attrs = { height: type }; - - // If we include width, step value is 1 to do all cssExpand values, - // otherwise step value is 2 to skip over Left and Right - includeWidth = includeWidth ? 1 : 0; - for ( ; i < 4; i += 2 - includeWidth ) { - which = cssExpand[ i ]; - attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; - } - - if ( includeWidth ) { - attrs.opacity = attrs.width = type; - } - - return attrs; -} - -function createTween( value, prop, animation ) { - var tween, - collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ), - index = 0, - length = collection.length; - for ( ; index < length; index++ ) { - if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) { - - // We're done with this property - return tween; - } - } -} - -function defaultPrefilter( elem, props, opts ) { - var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display, - isBox = "width" in props || "height" in props, - anim = this, - orig = {}, - style = elem.style, - hidden = elem.nodeType && isHiddenWithinTree( elem ), - dataShow = dataPriv.get( elem, "fxshow" ); - - // Queue-skipping animations hijack the fx hooks - if ( !opts.queue ) { - hooks = jQuery._queueHooks( elem, "fx" ); - if ( hooks.unqueued == null ) { - hooks.unqueued = 0; - oldfire = hooks.empty.fire; - hooks.empty.fire = function() { - if ( !hooks.unqueued ) { - oldfire(); - } - }; - } - hooks.unqueued++; - - anim.always( function() { - - // Ensure the complete handler is called before this completes - anim.always( function() { - hooks.unqueued--; - if ( !jQuery.queue( elem, "fx" ).length ) { - hooks.empty.fire(); - } - } ); - } ); - } - - // Detect show/hide animations - for ( prop in props ) { - value = props[ prop ]; - if ( rfxtypes.test( value ) ) { - delete props[ prop ]; - toggle = toggle || value === "toggle"; - if ( value === ( hidden ? "hide" : "show" ) ) { - - // Pretend to be hidden if this is a "show" and - // there is still data from a stopped show/hide - if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) { - hidden = true; - - // Ignore all other no-op show/hide data - } else { - continue; - } - } - orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop ); - } - } - - // Bail out if this is a no-op like .hide().hide() - propTween = !jQuery.isEmptyObject( props ); - if ( !propTween && jQuery.isEmptyObject( orig ) ) { - return; - } - - // Restrict "overflow" and "display" styles during box animations - if ( isBox && elem.nodeType === 1 ) { - - // Support: IE <=9 - 11, Edge 12 - 13 - // Record all 3 overflow attributes because IE does not infer the shorthand - // from identically-valued overflowX and overflowY - opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; - - // Identify a display type, preferring old show/hide data over the CSS cascade - restoreDisplay = dataShow && dataShow.display; - if ( restoreDisplay == null ) { - restoreDisplay = dataPriv.get( elem, "display" ); - } - display = jQuery.css( elem, "display" ); - if ( display === "none" ) { - if ( restoreDisplay ) { - display = restoreDisplay; - } else { - - // Get nonempty value(s) by temporarily forcing visibility - showHide( [ elem ], true ); - restoreDisplay = elem.style.display || restoreDisplay; - display = jQuery.css( elem, "display" ); - showHide( [ elem ] ); - } - } - - // Animate inline elements as inline-block - if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) { - if ( jQuery.css( elem, "float" ) === "none" ) { - - // Restore the original display value at the end of pure show/hide animations - if ( !propTween ) { - anim.done( function() { - style.display = restoreDisplay; - } ); - if ( restoreDisplay == null ) { - display = style.display; - restoreDisplay = display === "none" ? "" : display; - } - } - style.display = "inline-block"; - } - } - } - - if ( opts.overflow ) { - style.overflow = "hidden"; - anim.always( function() { - style.overflow = opts.overflow[ 0 ]; - style.overflowX = opts.overflow[ 1 ]; - style.overflowY = opts.overflow[ 2 ]; - } ); - } - - // Implement show/hide animations - propTween = false; - for ( prop in orig ) { - - // General show/hide setup for this element animation - if ( !propTween ) { - if ( dataShow ) { - if ( "hidden" in dataShow ) { - hidden = dataShow.hidden; - } - } else { - dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } ); - } - - // Store hidden/visible for toggle so `.stop().toggle()` "reverses" - if ( toggle ) { - dataShow.hidden = !hidden; - } - - // Show elements before animating them - if ( hidden ) { - showHide( [ elem ], true ); - } - - /* eslint-disable no-loop-func */ - - anim.done( function() { - - /* eslint-enable no-loop-func */ - - // The final step of a "hide" animation is actually hiding the element - if ( !hidden ) { - showHide( [ elem ] ); - } - dataPriv.remove( elem, "fxshow" ); - for ( prop in orig ) { - jQuery.style( elem, prop, orig[ prop ] ); - } - } ); - } - - // Per-property setup - propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim ); - if ( !( prop in dataShow ) ) { - dataShow[ prop ] = propTween.start; - if ( hidden ) { - propTween.end = propTween.start; - propTween.start = 0; - } - } - } -} - -function propFilter( props, specialEasing ) { - var index, name, easing, value, hooks; - - // camelCase, specialEasing and expand cssHook pass - for ( index in props ) { - name = jQuery.camelCase( index ); - easing = specialEasing[ name ]; - value = props[ index ]; - if ( Array.isArray( value ) ) { - easing = value[ 1 ]; - value = props[ index ] = value[ 0 ]; - } - - if ( index !== name ) { - props[ name ] = value; - delete props[ index ]; - } - - hooks = jQuery.cssHooks[ name ]; - if ( hooks && "expand" in hooks ) { - value = hooks.expand( value ); - delete props[ name ]; - - // Not quite $.extend, this won't overwrite existing keys. - // Reusing 'index' because we have the correct "name" - for ( index in value ) { - if ( !( index in props ) ) { - props[ index ] = value[ index ]; - specialEasing[ index ] = easing; - } - } - } else { - specialEasing[ name ] = easing; - } - } -} - -function Animation( elem, properties, options ) { - var result, - stopped, - index = 0, - length = Animation.prefilters.length, - deferred = jQuery.Deferred().always( function() { - - // Don't match elem in the :animated selector - delete tick.elem; - } ), - tick = function() { - if ( stopped ) { - return false; - } - var currentTime = fxNow || createFxNow(), - remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), - - // Support: Android 2.3 only - // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497) - temp = remaining / animation.duration || 0, - percent = 1 - temp, - index = 0, - length = animation.tweens.length; - - for ( ; index < length; index++ ) { - animation.tweens[ index ].run( percent ); - } - - deferred.notifyWith( elem, [ animation, percent, remaining ] ); - - // If there's more to do, yield - if ( percent < 1 && length ) { - return remaining; - } - - // If this was an empty animation, synthesize a final progress notification - if ( !length ) { - deferred.notifyWith( elem, [ animation, 1, 0 ] ); - } - - // Resolve the animation and report its conclusion - deferred.resolveWith( elem, [ animation ] ); - return false; - }, - animation = deferred.promise( { - elem: elem, - props: jQuery.extend( {}, properties ), - opts: jQuery.extend( true, { - specialEasing: {}, - easing: jQuery.easing._default - }, options ), - originalProperties: properties, - originalOptions: options, - startTime: fxNow || createFxNow(), - duration: options.duration, - tweens: [], - createTween: function( prop, end ) { - var tween = jQuery.Tween( elem, animation.opts, prop, end, - animation.opts.specialEasing[ prop ] || animation.opts.easing ); - animation.tweens.push( tween ); - return tween; - }, - stop: function( gotoEnd ) { - var index = 0, - - // If we are going to the end, we want to run all the tweens - // otherwise we skip this part - length = gotoEnd ? animation.tweens.length : 0; - if ( stopped ) { - return this; - } - stopped = true; - for ( ; index < length; index++ ) { - animation.tweens[ index ].run( 1 ); - } - - // Resolve when we played the last frame; otherwise, reject - if ( gotoEnd ) { - deferred.notifyWith( elem, [ animation, 1, 0 ] ); - deferred.resolveWith( elem, [ animation, gotoEnd ] ); - } else { - deferred.rejectWith( elem, [ animation, gotoEnd ] ); - } - return this; - } - } ), - props = animation.props; - - propFilter( props, animation.opts.specialEasing ); - - for ( ; index < length; index++ ) { - result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); - if ( result ) { - if ( jQuery.isFunction( result.stop ) ) { - jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = - jQuery.proxy( result.stop, result ); - } - return result; - } - } - - jQuery.map( props, createTween, animation ); - - if ( jQuery.isFunction( animation.opts.start ) ) { - animation.opts.start.call( elem, animation ); - } - - // Attach callbacks from options - animation - .progress( animation.opts.progress ) - .done( animation.opts.done, animation.opts.complete ) - .fail( animation.opts.fail ) - .always( animation.opts.always ); - - jQuery.fx.timer( - jQuery.extend( tick, { - elem: elem, - anim: animation, - queue: animation.opts.queue - } ) - ); - - return animation; -} - -jQuery.Animation = jQuery.extend( Animation, { - - tweeners: { - "*": [ function( prop, value ) { - var tween = this.createTween( prop, value ); - adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween ); - return tween; - } ] - }, - - tweener: function( props, callback ) { - if ( jQuery.isFunction( props ) ) { - callback = props; - props = [ "*" ]; - } else { - props = props.match( rnothtmlwhite ); - } - - var prop, - index = 0, - length = props.length; - - for ( ; index < length; index++ ) { - prop = props[ index ]; - Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || []; - Animation.tweeners[ prop ].unshift( callback ); - } - }, - - prefilters: [ defaultPrefilter ], - - prefilter: function( callback, prepend ) { - if ( prepend ) { - Animation.prefilters.unshift( callback ); - } else { - Animation.prefilters.push( callback ); - } - } -} ); - -jQuery.speed = function( speed, easing, fn ) { - var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { - complete: fn || !fn && easing || - jQuery.isFunction( speed ) && speed, - duration: speed, - easing: fn && easing || easing && !jQuery.isFunction( easing ) && easing - }; - - // Go to the end state if fx are off - if ( jQuery.fx.off ) { - opt.duration = 0; - - } else { - if ( typeof opt.duration !== "number" ) { - if ( opt.duration in jQuery.fx.speeds ) { - opt.duration = jQuery.fx.speeds[ opt.duration ]; - - } else { - opt.duration = jQuery.fx.speeds._default; - } - } - } - - // Normalize opt.queue - true/undefined/null -> "fx" - if ( opt.queue == null || opt.queue === true ) { - opt.queue = "fx"; - } - - // Queueing - opt.old = opt.complete; - - opt.complete = function() { - if ( jQuery.isFunction( opt.old ) ) { - opt.old.call( this ); - } - - if ( opt.queue ) { - jQuery.dequeue( this, opt.queue ); - } - }; - - return opt; -}; - -jQuery.fn.extend( { - fadeTo: function( speed, to, easing, callback ) { - - // Show any hidden elements after setting opacity to 0 - return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show() - - // Animate to the value specified - .end().animate( { opacity: to }, speed, easing, callback ); - }, - animate: function( prop, speed, easing, callback ) { - var empty = jQuery.isEmptyObject( prop ), - optall = jQuery.speed( speed, easing, callback ), - doAnimation = function() { - - // Operate on a copy of prop so per-property easing won't be lost - var anim = Animation( this, jQuery.extend( {}, prop ), optall ); - - // Empty animations, or finishing resolves immediately - if ( empty || dataPriv.get( this, "finish" ) ) { - anim.stop( true ); - } - }; - doAnimation.finish = doAnimation; - - return empty || optall.queue === false ? - this.each( doAnimation ) : - this.queue( optall.queue, doAnimation ); - }, - stop: function( type, clearQueue, gotoEnd ) { - var stopQueue = function( hooks ) { - var stop = hooks.stop; - delete hooks.stop; - stop( gotoEnd ); - }; - - if ( typeof type !== "string" ) { - gotoEnd = clearQueue; - clearQueue = type; - type = undefined; - } - if ( clearQueue && type !== false ) { - this.queue( type || "fx", [] ); - } - - return this.each( function() { - var dequeue = true, - index = type != null && type + "queueHooks", - timers = jQuery.timers, - data = dataPriv.get( this ); - - if ( index ) { - if ( data[ index ] && data[ index ].stop ) { - stopQueue( data[ index ] ); - } - } else { - for ( index in data ) { - if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { - stopQueue( data[ index ] ); - } - } - } - - for ( index = timers.length; index--; ) { - if ( timers[ index ].elem === this && - ( type == null || timers[ index ].queue === type ) ) { - - timers[ index ].anim.stop( gotoEnd ); - dequeue = false; - timers.splice( index, 1 ); - } - } - - // Start the next in the queue if the last step wasn't forced. - // Timers currently will call their complete callbacks, which - // will dequeue but only if they were gotoEnd. - if ( dequeue || !gotoEnd ) { - jQuery.dequeue( this, type ); - } - } ); - }, - finish: function( type ) { - if ( type !== false ) { - type = type || "fx"; - } - return this.each( function() { - var index, - data = dataPriv.get( this ), - queue = data[ type + "queue" ], - hooks = data[ type + "queueHooks" ], - timers = jQuery.timers, - length = queue ? queue.length : 0; - - // Enable finishing flag on private data - data.finish = true; - - // Empty the queue first - jQuery.queue( this, type, [] ); - - if ( hooks && hooks.stop ) { - hooks.stop.call( this, true ); - } - - // Look for any active animations, and finish them - for ( index = timers.length; index--; ) { - if ( timers[ index ].elem === this && timers[ index ].queue === type ) { - timers[ index ].anim.stop( true ); - timers.splice( index, 1 ); - } - } - - // Look for any animations in the old queue and finish them - for ( index = 0; index < length; index++ ) { - if ( queue[ index ] && queue[ index ].finish ) { - queue[ index ].finish.call( this ); - } - } - - // Turn off finishing flag - delete data.finish; - } ); - } -} ); - -jQuery.each( [ "toggle", "show", "hide" ], function( i, name ) { - var cssFn = jQuery.fn[ name ]; - jQuery.fn[ name ] = function( speed, easing, callback ) { - return speed == null || typeof speed === "boolean" ? - cssFn.apply( this, arguments ) : - this.animate( genFx( name, true ), speed, easing, callback ); - }; -} ); - -// Generate shortcuts for custom animations -jQuery.each( { - slideDown: genFx( "show" ), - slideUp: genFx( "hide" ), - slideToggle: genFx( "toggle" ), - fadeIn: { opacity: "show" }, - fadeOut: { opacity: "hide" }, - fadeToggle: { opacity: "toggle" } -}, function( name, props ) { - jQuery.fn[ name ] = function( speed, easing, callback ) { - return this.animate( props, speed, easing, callback ); - }; -} ); - -jQuery.timers = []; -jQuery.fx.tick = function() { - var timer, - i = 0, - timers = jQuery.timers; - - fxNow = jQuery.now(); - - for ( ; i < timers.length; i++ ) { - timer = timers[ i ]; - - // Run the timer and safely remove it when done (allowing for external removal) - if ( !timer() && timers[ i ] === timer ) { - timers.splice( i--, 1 ); - } - } - - if ( !timers.length ) { - jQuery.fx.stop(); - } - fxNow = undefined; -}; - -jQuery.fx.timer = function( timer ) { - jQuery.timers.push( timer ); - jQuery.fx.start(); -}; - -jQuery.fx.interval = 13; -jQuery.fx.start = function() { - if ( inProgress ) { - return; - } - - inProgress = true; - schedule(); -}; - -jQuery.fx.stop = function() { - inProgress = null; -}; - -jQuery.fx.speeds = { - slow: 600, - fast: 200, - - // Default speed - _default: 400 -}; - - -// Based off of the plugin by Clint Helfers, with permission. -// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/ -jQuery.fn.delay = function( time, type ) { - time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; - type = type || "fx"; - - return this.queue( type, function( next, hooks ) { - var timeout = window.setTimeout( next, time ); - hooks.stop = function() { - window.clearTimeout( timeout ); - }; - } ); -}; - - -( function() { - var input = document.createElement( "input" ), - select = document.createElement( "select" ), - opt = select.appendChild( document.createElement( "option" ) ); - - input.type = "checkbox"; - - // Support: Android <=4.3 only - // Default value for a checkbox should be "on" - support.checkOn = input.value !== ""; - - // Support: IE <=11 only - // Must access selectedIndex to make default options select - support.optSelected = opt.selected; - - // Support: IE <=11 only - // An input loses its value after becoming a radio - input = document.createElement( "input" ); - input.value = "t"; - input.type = "radio"; - support.radioValue = input.value === "t"; -} )(); - - -var boolHook, - attrHandle = jQuery.expr.attrHandle; - -jQuery.fn.extend( { - attr: function( name, value ) { - return access( this, jQuery.attr, name, value, arguments.length > 1 ); - }, - - removeAttr: function( name ) { - return this.each( function() { - jQuery.removeAttr( this, name ); - } ); - } -} ); - -jQuery.extend( { - attr: function( elem, name, value ) { - var ret, hooks, - nType = elem.nodeType; - - // Don't get/set attributes on text, comment and attribute nodes - if ( nType === 3 || nType === 8 || nType === 2 ) { - return; - } - - // Fallback to prop when attributes are not supported - if ( typeof elem.getAttribute === "undefined" ) { - return jQuery.prop( elem, name, value ); - } - - // Attribute hooks are determined by the lowercase version - // Grab necessary hook if one is defined - if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { - hooks = jQuery.attrHooks[ name.toLowerCase() ] || - ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined ); - } - - if ( value !== undefined ) { - if ( value === null ) { - jQuery.removeAttr( elem, name ); - return; - } - - if ( hooks && "set" in hooks && - ( ret = hooks.set( elem, value, name ) ) !== undefined ) { - return ret; - } - - elem.setAttribute( name, value + "" ); - return value; - } - - if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { - return ret; - } - - ret = jQuery.find.attr( elem, name ); - - // Non-existent attributes return null, we normalize to undefined - return ret == null ? undefined : ret; - }, - - attrHooks: { - type: { - set: function( elem, value ) { - if ( !support.radioValue && value === "radio" && - nodeName( elem, "input" ) ) { - var val = elem.value; - elem.setAttribute( "type", value ); - if ( val ) { - elem.value = val; - } - return value; - } - } - } - }, - - removeAttr: function( elem, value ) { - var name, - i = 0, - - // Attribute names can contain non-HTML whitespace characters - // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2 - attrNames = value && value.match( rnothtmlwhite ); - - if ( attrNames && elem.nodeType === 1 ) { - while ( ( name = attrNames[ i++ ] ) ) { - elem.removeAttribute( name ); - } - } - } -} ); - -// Hooks for boolean attributes -boolHook = { - set: function( elem, value, name ) { - if ( value === false ) { - - // Remove boolean attributes when set to false - jQuery.removeAttr( elem, name ); - } else { - elem.setAttribute( name, name ); - } - return name; - } -}; - -jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( i, name ) { - var getter = attrHandle[ name ] || jQuery.find.attr; - - attrHandle[ name ] = function( elem, name, isXML ) { - var ret, handle, - lowercaseName = name.toLowerCase(); - - if ( !isXML ) { - - // Avoid an infinite loop by temporarily removing this function from the getter - handle = attrHandle[ lowercaseName ]; - attrHandle[ lowercaseName ] = ret; - ret = getter( elem, name, isXML ) != null ? - lowercaseName : - null; - attrHandle[ lowercaseName ] = handle; - } - return ret; - }; -} ); - - - - -var rfocusable = /^(?:input|select|textarea|button)$/i, - rclickable = /^(?:a|area)$/i; - -jQuery.fn.extend( { - prop: function( name, value ) { - return access( this, jQuery.prop, name, value, arguments.length > 1 ); - }, - - removeProp: function( name ) { - return this.each( function() { - delete this[ jQuery.propFix[ name ] || name ]; - } ); - } -} ); - -jQuery.extend( { - prop: function( elem, name, value ) { - var ret, hooks, - nType = elem.nodeType; - - // Don't get/set properties on text, comment and attribute nodes - if ( nType === 3 || nType === 8 || nType === 2 ) { - return; - } - - if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { - - // Fix name and attach hooks - name = jQuery.propFix[ name ] || name; - hooks = jQuery.propHooks[ name ]; - } - - if ( value !== undefined ) { - if ( hooks && "set" in hooks && - ( ret = hooks.set( elem, value, name ) ) !== undefined ) { - return ret; - } - - return ( elem[ name ] = value ); - } - - if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { - return ret; - } - - return elem[ name ]; - }, - - propHooks: { - tabIndex: { - get: function( elem ) { - - // Support: IE <=9 - 11 only - // elem.tabIndex doesn't always return the - // correct value when it hasn't been explicitly set - // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/ - // Use proper attribute retrieval(#12072) - var tabindex = jQuery.find.attr( elem, "tabindex" ); - - if ( tabindex ) { - return parseInt( tabindex, 10 ); - } - - if ( - rfocusable.test( elem.nodeName ) || - rclickable.test( elem.nodeName ) && - elem.href - ) { - return 0; - } - - return -1; - } - } - }, - - propFix: { - "for": "htmlFor", - "class": "className" - } -} ); - -// Support: IE <=11 only -// Accessing the selectedIndex property -// forces the browser to respect setting selected -// on the option -// The getter ensures a default option is selected -// when in an optgroup -// eslint rule "no-unused-expressions" is disabled for this code -// since it considers such accessions noop -if ( !support.optSelected ) { - jQuery.propHooks.selected = { - get: function( elem ) { - - /* eslint no-unused-expressions: "off" */ - - var parent = elem.parentNode; - if ( parent && parent.parentNode ) { - parent.parentNode.selectedIndex; - } - return null; - }, - set: function( elem ) { - - /* eslint no-unused-expressions: "off" */ - - var parent = elem.parentNode; - if ( parent ) { - parent.selectedIndex; - - if ( parent.parentNode ) { - parent.parentNode.selectedIndex; - } - } - } - }; -} - -jQuery.each( [ - "tabIndex", - "readOnly", - "maxLength", - "cellSpacing", - "cellPadding", - "rowSpan", - "colSpan", - "useMap", - "frameBorder", - "contentEditable" -], function() { - jQuery.propFix[ this.toLowerCase() ] = this; -} ); - - - - - // Strip and collapse whitespace according to HTML spec - // https://html.spec.whatwg.org/multipage/infrastructure.html#strip-and-collapse-whitespace - function stripAndCollapse( value ) { - var tokens = value.match( rnothtmlwhite ) || []; - return tokens.join( " " ); - } - - -function getClass( elem ) { - return elem.getAttribute && elem.getAttribute( "class" ) || ""; -} - -jQuery.fn.extend( { - addClass: function( value ) { - var classes, elem, cur, curValue, clazz, j, finalValue, - i = 0; - - if ( jQuery.isFunction( value ) ) { - return this.each( function( j ) { - jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); - } ); - } - - if ( typeof value === "string" && value ) { - classes = value.match( rnothtmlwhite ) || []; - - while ( ( elem = this[ i++ ] ) ) { - curValue = getClass( elem ); - cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); - - if ( cur ) { - j = 0; - while ( ( clazz = classes[ j++ ] ) ) { - if ( cur.indexOf( " " + clazz + " " ) < 0 ) { - cur += clazz + " "; - } - } - - // Only assign if different to avoid unneeded rendering. - finalValue = stripAndCollapse( cur ); - if ( curValue !== finalValue ) { - elem.setAttribute( "class", finalValue ); - } - } - } - } - - return this; - }, - - removeClass: function( value ) { - var classes, elem, cur, curValue, clazz, j, finalValue, - i = 0; - - if ( jQuery.isFunction( value ) ) { - return this.each( function( j ) { - jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); - } ); - } - - if ( !arguments.length ) { - return this.attr( "class", "" ); - } - - if ( typeof value === "string" && value ) { - classes = value.match( rnothtmlwhite ) || []; - - while ( ( elem = this[ i++ ] ) ) { - curValue = getClass( elem ); - - // This expression is here for better compressibility (see addClass) - cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); - - if ( cur ) { - j = 0; - while ( ( clazz = classes[ j++ ] ) ) { - - // Remove *all* instances - while ( cur.indexOf( " " + clazz + " " ) > -1 ) { - cur = cur.replace( " " + clazz + " ", " " ); - } - } - - // Only assign if different to avoid unneeded rendering. - finalValue = stripAndCollapse( cur ); - if ( curValue !== finalValue ) { - elem.setAttribute( "class", finalValue ); - } - } - } - } - - return this; - }, - - toggleClass: function( value, stateVal ) { - var type = typeof value; - - if ( typeof stateVal === "boolean" && type === "string" ) { - return stateVal ? this.addClass( value ) : this.removeClass( value ); - } - - if ( jQuery.isFunction( value ) ) { - return this.each( function( i ) { - jQuery( this ).toggleClass( - value.call( this, i, getClass( this ), stateVal ), - stateVal - ); - } ); - } - - return this.each( function() { - var className, i, self, classNames; - - if ( type === "string" ) { - - // Toggle individual class names - i = 0; - self = jQuery( this ); - classNames = value.match( rnothtmlwhite ) || []; - - while ( ( className = classNames[ i++ ] ) ) { - - // Check each className given, space separated list - if ( self.hasClass( className ) ) { - self.removeClass( className ); - } else { - self.addClass( className ); - } - } - - // Toggle whole class name - } else if ( value === undefined || type === "boolean" ) { - className = getClass( this ); - if ( className ) { - - // Store className if set - dataPriv.set( this, "__className__", className ); - } - - // If the element has a class name or if we're passed `false`, - // then remove the whole classname (if there was one, the above saved it). - // Otherwise bring back whatever was previously saved (if anything), - // falling back to the empty string if nothing was stored. - if ( this.setAttribute ) { - this.setAttribute( "class", - className || value === false ? - "" : - dataPriv.get( this, "__className__" ) || "" - ); - } - } - } ); - }, - - hasClass: function( selector ) { - var className, elem, - i = 0; - - className = " " + selector + " "; - while ( ( elem = this[ i++ ] ) ) { - if ( elem.nodeType === 1 && - ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) { - return true; - } - } - - return false; - } -} ); - - - - -var rreturn = /\r/g; - -jQuery.fn.extend( { - val: function( value ) { - var hooks, ret, isFunction, - elem = this[ 0 ]; - - if ( !arguments.length ) { - if ( elem ) { - hooks = jQuery.valHooks[ elem.type ] || - jQuery.valHooks[ elem.nodeName.toLowerCase() ]; - - if ( hooks && - "get" in hooks && - ( ret = hooks.get( elem, "value" ) ) !== undefined - ) { - return ret; - } - - ret = elem.value; - - // Handle most common string cases - if ( typeof ret === "string" ) { - return ret.replace( rreturn, "" ); - } - - // Handle cases where value is null/undef or number - return ret == null ? "" : ret; - } - - return; - } - - isFunction = jQuery.isFunction( value ); - - return this.each( function( i ) { - var val; - - if ( this.nodeType !== 1 ) { - return; - } - - if ( isFunction ) { - val = value.call( this, i, jQuery( this ).val() ); - } else { - val = value; - } - - // Treat null/undefined as ""; convert numbers to string - if ( val == null ) { - val = ""; - - } else if ( typeof val === "number" ) { - val += ""; - - } else if ( Array.isArray( val ) ) { - val = jQuery.map( val, function( value ) { - return value == null ? "" : value + ""; - } ); - } - - hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; - - // If set returns undefined, fall back to normal setting - if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) { - this.value = val; - } - } ); - } -} ); - -jQuery.extend( { - valHooks: { - option: { - get: function( elem ) { - - var val = jQuery.find.attr( elem, "value" ); - return val != null ? - val : - - // Support: IE <=10 - 11 only - // option.text throws exceptions (#14686, #14858) - // Strip and collapse whitespace - // https://html.spec.whatwg.org/#strip-and-collapse-whitespace - stripAndCollapse( jQuery.text( elem ) ); - } - }, - select: { - get: function( elem ) { - var value, option, i, - options = elem.options, - index = elem.selectedIndex, - one = elem.type === "select-one", - values = one ? null : [], - max = one ? index + 1 : options.length; - - if ( index < 0 ) { - i = max; - - } else { - i = one ? index : 0; - } - - // Loop through all the selected options - for ( ; i < max; i++ ) { - option = options[ i ]; - - // Support: IE <=9 only - // IE8-9 doesn't update selected after form reset (#2551) - if ( ( option.selected || i === index ) && - - // Don't return options that are disabled or in a disabled optgroup - !option.disabled && - ( !option.parentNode.disabled || - !nodeName( option.parentNode, "optgroup" ) ) ) { - - // Get the specific value for the option - value = jQuery( option ).val(); - - // We don't need an array for one selects - if ( one ) { - return value; - } - - // Multi-Selects return an array - values.push( value ); - } - } - - return values; - }, - - set: function( elem, value ) { - var optionSet, option, - options = elem.options, - values = jQuery.makeArray( value ), - i = options.length; - - while ( i-- ) { - option = options[ i ]; - - /* eslint-disable no-cond-assign */ - - if ( option.selected = - jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1 - ) { - optionSet = true; - } - - /* eslint-enable no-cond-assign */ - } - - // Force browsers to behave consistently when non-matching value is set - if ( !optionSet ) { - elem.selectedIndex = -1; - } - return values; - } - } - } -} ); - -// Radios and checkboxes getter/setter -jQuery.each( [ "radio", "checkbox" ], function() { - jQuery.valHooks[ this ] = { - set: function( elem, value ) { - if ( Array.isArray( value ) ) { - return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 ); - } - } - }; - if ( !support.checkOn ) { - jQuery.valHooks[ this ].get = function( elem ) { - return elem.getAttribute( "value" ) === null ? "on" : elem.value; - }; - } -} ); - - - - -// Return jQuery for attributes-only inclusion - - -var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/; - -jQuery.extend( jQuery.event, { - - trigger: function( event, data, elem, onlyHandlers ) { - - var i, cur, tmp, bubbleType, ontype, handle, special, - eventPath = [ elem || document ], - type = hasOwn.call( event, "type" ) ? event.type : event, - namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; - - cur = tmp = elem = elem || document; - - // Don't do events on text and comment nodes - if ( elem.nodeType === 3 || elem.nodeType === 8 ) { - return; - } - - // focus/blur morphs to focusin/out; ensure we're not firing them right now - if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { - return; - } - - if ( type.indexOf( "." ) > -1 ) { - - // Namespaced trigger; create a regexp to match event type in handle() - namespaces = type.split( "." ); - type = namespaces.shift(); - namespaces.sort(); - } - ontype = type.indexOf( ":" ) < 0 && "on" + type; - - // Caller can pass in a jQuery.Event object, Object, or just an event type string - event = event[ jQuery.expando ] ? - event : - new jQuery.Event( type, typeof event === "object" && event ); - - // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) - event.isTrigger = onlyHandlers ? 2 : 3; - event.namespace = namespaces.join( "." ); - event.rnamespace = event.namespace ? - new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) : - null; - - // Clean up the event in case it is being reused - event.result = undefined; - if ( !event.target ) { - event.target = elem; - } - - // Clone any incoming data and prepend the event, creating the handler arg list - data = data == null ? - [ event ] : - jQuery.makeArray( data, [ event ] ); - - // Allow special events to draw outside the lines - special = jQuery.event.special[ type ] || {}; - if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { - return; - } - - // Determine event propagation path in advance, per W3C events spec (#9951) - // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) - if ( !onlyHandlers && !special.noBubble && !jQuery.isWindow( elem ) ) { - - bubbleType = special.delegateType || type; - if ( !rfocusMorph.test( bubbleType + type ) ) { - cur = cur.parentNode; - } - for ( ; cur; cur = cur.parentNode ) { - eventPath.push( cur ); - tmp = cur; - } - - // Only add window if we got to document (e.g., not plain obj or detached DOM) - if ( tmp === ( elem.ownerDocument || document ) ) { - eventPath.push( tmp.defaultView || tmp.parentWindow || window ); - } - } - - // Fire handlers on the event path - i = 0; - while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { - - event.type = i > 1 ? - bubbleType : - special.bindType || type; - - // jQuery handler - handle = ( dataPriv.get( cur, "events" ) || {} )[ event.type ] && - dataPriv.get( cur, "handle" ); - if ( handle ) { - handle.apply( cur, data ); - } - - // Native handler - handle = ontype && cur[ ontype ]; - if ( handle && handle.apply && acceptData( cur ) ) { - event.result = handle.apply( cur, data ); - if ( event.result === false ) { - event.preventDefault(); - } - } - } - event.type = type; - - // If nobody prevented the default action, do it now - if ( !onlyHandlers && !event.isDefaultPrevented() ) { - - if ( ( !special._default || - special._default.apply( eventPath.pop(), data ) === false ) && - acceptData( elem ) ) { - - // Call a native DOM method on the target with the same name as the event. - // Don't do default actions on window, that's where global variables be (#6170) - if ( ontype && jQuery.isFunction( elem[ type ] ) && !jQuery.isWindow( elem ) ) { - - // Don't re-trigger an onFOO event when we call its FOO() method - tmp = elem[ ontype ]; - - if ( tmp ) { - elem[ ontype ] = null; - } - - // Prevent re-triggering of the same event, since we already bubbled it above - jQuery.event.triggered = type; - elem[ type ](); - jQuery.event.triggered = undefined; - - if ( tmp ) { - elem[ ontype ] = tmp; - } - } - } - } - - return event.result; - }, - - // Piggyback on a donor event to simulate a different one - // Used only for `focus(in | out)` events - simulate: function( type, elem, event ) { - var e = jQuery.extend( - new jQuery.Event(), - event, - { - type: type, - isSimulated: true - } - ); - - jQuery.event.trigger( e, null, elem ); - } - -} ); - -jQuery.fn.extend( { - - trigger: function( type, data ) { - return this.each( function() { - jQuery.event.trigger( type, data, this ); - } ); - }, - triggerHandler: function( type, data ) { - var elem = this[ 0 ]; - if ( elem ) { - return jQuery.event.trigger( type, data, elem, true ); - } - } -} ); - - -jQuery.each( ( "blur focus focusin focusout resize scroll click dblclick " + - "mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " + - "change select submit keydown keypress keyup contextmenu" ).split( " " ), - function( i, name ) { - - // Handle event binding - jQuery.fn[ name ] = function( data, fn ) { - return arguments.length > 0 ? - this.on( name, null, data, fn ) : - this.trigger( name ); - }; -} ); - -jQuery.fn.extend( { - hover: function( fnOver, fnOut ) { - return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver ); - } -} ); - - - - -support.focusin = "onfocusin" in window; - - -// Support: Firefox <=44 -// Firefox doesn't have focus(in | out) events -// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 -// -// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1 -// focus(in | out) events fire after focus & blur events, -// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order -// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857 -if ( !support.focusin ) { - jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) { - - // Attach a single capturing handler on the document while someone wants focusin/focusout - var handler = function( event ) { - jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) ); - }; - - jQuery.event.special[ fix ] = { - setup: function() { - var doc = this.ownerDocument || this, - attaches = dataPriv.access( doc, fix ); - - if ( !attaches ) { - doc.addEventListener( orig, handler, true ); - } - dataPriv.access( doc, fix, ( attaches || 0 ) + 1 ); - }, - teardown: function() { - var doc = this.ownerDocument || this, - attaches = dataPriv.access( doc, fix ) - 1; - - if ( !attaches ) { - doc.removeEventListener( orig, handler, true ); - dataPriv.remove( doc, fix ); - - } else { - dataPriv.access( doc, fix, attaches ); - } - } - }; - } ); -} -var location = window.location; - -var nonce = jQuery.now(); - -var rquery = ( /\?/ ); - - - -// Cross-browser xml parsing -jQuery.parseXML = function( data ) { - var xml; - if ( !data || typeof data !== "string" ) { - return null; - } - - // Support: IE 9 - 11 only - // IE throws on parseFromString with invalid input. - try { - xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" ); - } catch ( e ) { - xml = undefined; - } - - if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) { - jQuery.error( "Invalid XML: " + data ); - } - return xml; -}; - - -var - rbracket = /\[\]$/, - rCRLF = /\r?\n/g, - rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, - rsubmittable = /^(?:input|select|textarea|keygen)/i; - -function buildParams( prefix, obj, traditional, add ) { - var name; - - if ( Array.isArray( obj ) ) { - - // Serialize array item. - jQuery.each( obj, function( i, v ) { - if ( traditional || rbracket.test( prefix ) ) { - - // Treat each array item as a scalar. - add( prefix, v ); - - } else { - - // Item is non-scalar (array or object), encode its numeric index. - buildParams( - prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]", - v, - traditional, - add - ); - } - } ); - - } else if ( !traditional && jQuery.type( obj ) === "object" ) { - - // Serialize object item. - for ( name in obj ) { - buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); - } - - } else { - - // Serialize scalar item. - add( prefix, obj ); - } -} - -// Serialize an array of form elements or a set of -// key/values into a query string -jQuery.param = function( a, traditional ) { - var prefix, - s = [], - add = function( key, valueOrFunction ) { - - // If value is a function, invoke it and use its return value - var value = jQuery.isFunction( valueOrFunction ) ? - valueOrFunction() : - valueOrFunction; - - s[ s.length ] = encodeURIComponent( key ) + "=" + - encodeURIComponent( value == null ? "" : value ); - }; - - // If an array was passed in, assume that it is an array of form elements. - if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { - - // Serialize the form elements - jQuery.each( a, function() { - add( this.name, this.value ); - } ); - - } else { - - // If traditional, encode the "old" way (the way 1.3.2 or older - // did it), otherwise encode params recursively. - for ( prefix in a ) { - buildParams( prefix, a[ prefix ], traditional, add ); - } - } - - // Return the resulting serialization - return s.join( "&" ); -}; - -jQuery.fn.extend( { - serialize: function() { - return jQuery.param( this.serializeArray() ); - }, - serializeArray: function() { - return this.map( function() { - - // Can add propHook for "elements" to filter or add form elements - var elements = jQuery.prop( this, "elements" ); - return elements ? jQuery.makeArray( elements ) : this; - } ) - .filter( function() { - var type = this.type; - - // Use .is( ":disabled" ) so that fieldset[disabled] works - return this.name && !jQuery( this ).is( ":disabled" ) && - rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && - ( this.checked || !rcheckableType.test( type ) ); - } ) - .map( function( i, elem ) { - var val = jQuery( this ).val(); - - if ( val == null ) { - return null; - } - - if ( Array.isArray( val ) ) { - return jQuery.map( val, function( val ) { - return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; - } ); - } - - return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; - } ).get(); - } -} ); - - -var - r20 = /%20/g, - rhash = /#.*$/, - rantiCache = /([?&])_=[^&]*/, - rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, - - // #7653, #8125, #8152: local protocol detection - rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, - rnoContent = /^(?:GET|HEAD)$/, - rprotocol = /^\/\//, - - /* Prefilters - * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) - * 2) These are called: - * - BEFORE asking for a transport - * - AFTER param serialization (s.data is a string if s.processData is true) - * 3) key is the dataType - * 4) the catchall symbol "*" can be used - * 5) execution will start with transport dataType and THEN continue down to "*" if needed - */ - prefilters = {}, - - /* Transports bindings - * 1) key is the dataType - * 2) the catchall symbol "*" can be used - * 3) selection will start with transport dataType and THEN go to "*" if needed - */ - transports = {}, - - // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression - allTypes = "*/".concat( "*" ), - - // Anchor tag for parsing the document origin - originAnchor = document.createElement( "a" ); - originAnchor.href = location.href; - -// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport -function addToPrefiltersOrTransports( structure ) { - - // dataTypeExpression is optional and defaults to "*" - return function( dataTypeExpression, func ) { - - if ( typeof dataTypeExpression !== "string" ) { - func = dataTypeExpression; - dataTypeExpression = "*"; - } - - var dataType, - i = 0, - dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; - - if ( jQuery.isFunction( func ) ) { - - // For each dataType in the dataTypeExpression - while ( ( dataType = dataTypes[ i++ ] ) ) { - - // Prepend if requested - if ( dataType[ 0 ] === "+" ) { - dataType = dataType.slice( 1 ) || "*"; - ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func ); - - // Otherwise append - } else { - ( structure[ dataType ] = structure[ dataType ] || [] ).push( func ); - } - } - } - }; -} - -// Base inspection function for prefilters and transports -function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { - - var inspected = {}, - seekingTransport = ( structure === transports ); - - function inspect( dataType ) { - var selected; - inspected[ dataType ] = true; - jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { - var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); - if ( typeof dataTypeOrTransport === "string" && - !seekingTransport && !inspected[ dataTypeOrTransport ] ) { - - options.dataTypes.unshift( dataTypeOrTransport ); - inspect( dataTypeOrTransport ); - return false; - } else if ( seekingTransport ) { - return !( selected = dataTypeOrTransport ); - } - } ); - return selected; - } - - return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); -} - -// A special extend for ajax options -// that takes "flat" options (not to be deep extended) -// Fixes #9887 -function ajaxExtend( target, src ) { - var key, deep, - flatOptions = jQuery.ajaxSettings.flatOptions || {}; - - for ( key in src ) { - if ( src[ key ] !== undefined ) { - ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ]; - } - } - if ( deep ) { - jQuery.extend( true, target, deep ); - } - - return target; -} - -/* Handles responses to an ajax request: - * - finds the right dataType (mediates between content-type and expected dataType) - * - returns the corresponding response - */ -function ajaxHandleResponses( s, jqXHR, responses ) { - - var ct, type, finalDataType, firstDataType, - contents = s.contents, - dataTypes = s.dataTypes; - - // Remove auto dataType and get content-type in the process - while ( dataTypes[ 0 ] === "*" ) { - dataTypes.shift(); - if ( ct === undefined ) { - ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" ); - } - } - - // Check if we're dealing with a known content-type - if ( ct ) { - for ( type in contents ) { - if ( contents[ type ] && contents[ type ].test( ct ) ) { - dataTypes.unshift( type ); - break; - } - } - } - - // Check to see if we have a response for the expected dataType - if ( dataTypes[ 0 ] in responses ) { - finalDataType = dataTypes[ 0 ]; - } else { - - // Try convertible dataTypes - for ( type in responses ) { - if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) { - finalDataType = type; - break; - } - if ( !firstDataType ) { - firstDataType = type; - } - } - - // Or just use first one - finalDataType = finalDataType || firstDataType; - } - - // If we found a dataType - // We add the dataType to the list if needed - // and return the corresponding response - if ( finalDataType ) { - if ( finalDataType !== dataTypes[ 0 ] ) { - dataTypes.unshift( finalDataType ); - } - return responses[ finalDataType ]; - } -} - -/* Chain conversions given the request and the original response - * Also sets the responseXXX fields on the jqXHR instance - */ -function ajaxConvert( s, response, jqXHR, isSuccess ) { - var conv2, current, conv, tmp, prev, - converters = {}, - - // Work with a copy of dataTypes in case we need to modify it for conversion - dataTypes = s.dataTypes.slice(); - - // Create converters map with lowercased keys - if ( dataTypes[ 1 ] ) { - for ( conv in s.converters ) { - converters[ conv.toLowerCase() ] = s.converters[ conv ]; - } - } - - current = dataTypes.shift(); - - // Convert to each sequential dataType - while ( current ) { - - if ( s.responseFields[ current ] ) { - jqXHR[ s.responseFields[ current ] ] = response; - } - - // Apply the dataFilter if provided - if ( !prev && isSuccess && s.dataFilter ) { - response = s.dataFilter( response, s.dataType ); - } - - prev = current; - current = dataTypes.shift(); - - if ( current ) { - - // There's only work to do if current dataType is non-auto - if ( current === "*" ) { - - current = prev; - - // Convert response if prev dataType is non-auto and differs from current - } else if ( prev !== "*" && prev !== current ) { - - // Seek a direct converter - conv = converters[ prev + " " + current ] || converters[ "* " + current ]; - - // If none found, seek a pair - if ( !conv ) { - for ( conv2 in converters ) { - - // If conv2 outputs current - tmp = conv2.split( " " ); - if ( tmp[ 1 ] === current ) { - - // If prev can be converted to accepted input - conv = converters[ prev + " " + tmp[ 0 ] ] || - converters[ "* " + tmp[ 0 ] ]; - if ( conv ) { - - // Condense equivalence converters - if ( conv === true ) { - conv = converters[ conv2 ]; - - // Otherwise, insert the intermediate dataType - } else if ( converters[ conv2 ] !== true ) { - current = tmp[ 0 ]; - dataTypes.unshift( tmp[ 1 ] ); - } - break; - } - } - } - } - - // Apply converter (if not an equivalence) - if ( conv !== true ) { - - // Unless errors are allowed to bubble, catch and return them - if ( conv && s.throws ) { - response = conv( response ); - } else { - try { - response = conv( response ); - } catch ( e ) { - return { - state: "parsererror", - error: conv ? e : "No conversion from " + prev + " to " + current - }; - } - } - } - } - } - } - - return { state: "success", data: response }; -} - -jQuery.extend( { - - // Counter for holding the number of active queries - active: 0, - - // Last-Modified header cache for next request - lastModified: {}, - etag: {}, - - ajaxSettings: { - url: location.href, - type: "GET", - isLocal: rlocalProtocol.test( location.protocol ), - global: true, - processData: true, - async: true, - contentType: "application/x-www-form-urlencoded; charset=UTF-8", - - /* - timeout: 0, - data: null, - dataType: null, - username: null, - password: null, - cache: null, - throws: false, - traditional: false, - headers: {}, - */ - - accepts: { - "*": allTypes, - text: "text/plain", - html: "text/html", - xml: "application/xml, text/xml", - json: "application/json, text/javascript" - }, - - contents: { - xml: /\bxml\b/, - html: /\bhtml/, - json: /\bjson\b/ - }, - - responseFields: { - xml: "responseXML", - text: "responseText", - json: "responseJSON" - }, - - // Data converters - // Keys separate source (or catchall "*") and destination types with a single space - converters: { - - // Convert anything to text - "* text": String, - - // Text to html (true = no transformation) - "text html": true, - - // Evaluate text as a json expression - "text json": JSON.parse, - - // Parse text as xml - "text xml": jQuery.parseXML - }, - - // For options that shouldn't be deep extended: - // you can add your own custom options here if - // and when you create one that shouldn't be - // deep extended (see ajaxExtend) - flatOptions: { - url: true, - context: true - } - }, - - // Creates a full fledged settings object into target - // with both ajaxSettings and settings fields. - // If target is omitted, writes into ajaxSettings. - ajaxSetup: function( target, settings ) { - return settings ? - - // Building a settings object - ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : - - // Extending ajaxSettings - ajaxExtend( jQuery.ajaxSettings, target ); - }, - - ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), - ajaxTransport: addToPrefiltersOrTransports( transports ), - - // Main method - ajax: function( url, options ) { - - // If url is an object, simulate pre-1.5 signature - if ( typeof url === "object" ) { - options = url; - url = undefined; - } - - // Force options to be an object - options = options || {}; - - var transport, - - // URL without anti-cache param - cacheURL, - - // Response headers - responseHeadersString, - responseHeaders, - - // timeout handle - timeoutTimer, - - // Url cleanup var - urlAnchor, - - // Request state (becomes false upon send and true upon completion) - completed, - - // To know if global events are to be dispatched - fireGlobals, - - // Loop variable - i, - - // uncached part of the url - uncached, - - // Create the final options object - s = jQuery.ajaxSetup( {}, options ), - - // Callbacks context - callbackContext = s.context || s, - - // Context for global events is callbackContext if it is a DOM node or jQuery collection - globalEventContext = s.context && - ( callbackContext.nodeType || callbackContext.jquery ) ? - jQuery( callbackContext ) : - jQuery.event, - - // Deferreds - deferred = jQuery.Deferred(), - completeDeferred = jQuery.Callbacks( "once memory" ), - - // Status-dependent callbacks - statusCode = s.statusCode || {}, - - // Headers (they are sent all at once) - requestHeaders = {}, - requestHeadersNames = {}, - - // Default abort message - strAbort = "canceled", - - // Fake xhr - jqXHR = { - readyState: 0, - - // Builds headers hashtable if needed - getResponseHeader: function( key ) { - var match; - if ( completed ) { - if ( !responseHeaders ) { - responseHeaders = {}; - while ( ( match = rheaders.exec( responseHeadersString ) ) ) { - responseHeaders[ match[ 1 ].toLowerCase() ] = match[ 2 ]; - } - } - match = responseHeaders[ key.toLowerCase() ]; - } - return match == null ? null : match; - }, - - // Raw string - getAllResponseHeaders: function() { - return completed ? responseHeadersString : null; - }, - - // Caches the header - setRequestHeader: function( name, value ) { - if ( completed == null ) { - name = requestHeadersNames[ name.toLowerCase() ] = - requestHeadersNames[ name.toLowerCase() ] || name; - requestHeaders[ name ] = value; - } - return this; - }, - - // Overrides response content-type header - overrideMimeType: function( type ) { - if ( completed == null ) { - s.mimeType = type; - } - return this; - }, - - // Status-dependent callbacks - statusCode: function( map ) { - var code; - if ( map ) { - if ( completed ) { - - // Execute the appropriate callbacks - jqXHR.always( map[ jqXHR.status ] ); - } else { - - // Lazy-add the new callbacks in a way that preserves old ones - for ( code in map ) { - statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; - } - } - } - return this; - }, - - // Cancel the request - abort: function( statusText ) { - var finalText = statusText || strAbort; - if ( transport ) { - transport.abort( finalText ); - } - done( 0, finalText ); - return this; - } - }; - - // Attach deferreds - deferred.promise( jqXHR ); - - // Add protocol if not provided (prefilters might expect it) - // Handle falsy url in the settings object (#10093: consistency with old signature) - // We also use the url parameter if available - s.url = ( ( url || s.url || location.href ) + "" ) - .replace( rprotocol, location.protocol + "//" ); - - // Alias method option to type as per ticket #12004 - s.type = options.method || options.type || s.method || s.type; - - // Extract dataTypes list - s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ]; - - // A cross-domain request is in order when the origin doesn't match the current origin. - if ( s.crossDomain == null ) { - urlAnchor = document.createElement( "a" ); - - // Support: IE <=8 - 11, Edge 12 - 13 - // IE throws exception on accessing the href property if url is malformed, - // e.g. http://example.com:80x/ - try { - urlAnchor.href = s.url; - - // Support: IE <=8 - 11 only - // Anchor's host property isn't correctly set when s.url is relative - urlAnchor.href = urlAnchor.href; - s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !== - urlAnchor.protocol + "//" + urlAnchor.host; - } catch ( e ) { - - // If there is an error parsing the URL, assume it is crossDomain, - // it can be rejected by the transport if it is invalid - s.crossDomain = true; - } - } - - // Convert data if not already a string - if ( s.data && s.processData && typeof s.data !== "string" ) { - s.data = jQuery.param( s.data, s.traditional ); - } - - // Apply prefilters - inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); - - // If request was aborted inside a prefilter, stop there - if ( completed ) { - return jqXHR; - } - - // We can fire global events as of now if asked to - // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118) - fireGlobals = jQuery.event && s.global; - - // Watch for a new set of requests - if ( fireGlobals && jQuery.active++ === 0 ) { - jQuery.event.trigger( "ajaxStart" ); - } - - // Uppercase the type - s.type = s.type.toUpperCase(); - - // Determine if request has content - s.hasContent = !rnoContent.test( s.type ); - - // Save the URL in case we're toying with the If-Modified-Since - // and/or If-None-Match header later on - // Remove hash to simplify url manipulation - cacheURL = s.url.replace( rhash, "" ); - - // More options handling for requests with no content - if ( !s.hasContent ) { - - // Remember the hash so we can put it back - uncached = s.url.slice( cacheURL.length ); - - // If data is available, append data to url - if ( s.data ) { - cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; - - // #9682: remove data so that it's not used in an eventual retry - delete s.data; - } - - // Add or update anti-cache param if needed - if ( s.cache === false ) { - cacheURL = cacheURL.replace( rantiCache, "$1" ); - uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce++ ) + uncached; - } - - // Put hash and anti-cache on the URL that will be requested (gh-1732) - s.url = cacheURL + uncached; - - // Change '%20' to '+' if this is encoded form body content (gh-2658) - } else if ( s.data && s.processData && - ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) { - s.data = s.data.replace( r20, "+" ); - } - - // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. - if ( s.ifModified ) { - if ( jQuery.lastModified[ cacheURL ] ) { - jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); - } - if ( jQuery.etag[ cacheURL ] ) { - jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); - } - } - - // Set the correct header, if data is being sent - if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { - jqXHR.setRequestHeader( "Content-Type", s.contentType ); - } - - // Set the Accepts header for the server, depending on the dataType - jqXHR.setRequestHeader( - "Accept", - s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ? - s.accepts[ s.dataTypes[ 0 ] ] + - ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : - s.accepts[ "*" ] - ); - - // Check for headers option - for ( i in s.headers ) { - jqXHR.setRequestHeader( i, s.headers[ i ] ); - } - - // Allow custom headers/mimetypes and early abort - if ( s.beforeSend && - ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) { - - // Abort if not done already and return - return jqXHR.abort(); - } - - // Aborting is no longer a cancellation - strAbort = "abort"; - - // Install callbacks on deferreds - completeDeferred.add( s.complete ); - jqXHR.done( s.success ); - jqXHR.fail( s.error ); - - // Get transport - transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); - - // If no transport, we auto-abort - if ( !transport ) { - done( -1, "No Transport" ); - } else { - jqXHR.readyState = 1; - - // Send global event - if ( fireGlobals ) { - globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); - } - - // If request was aborted inside ajaxSend, stop there - if ( completed ) { - return jqXHR; - } - - // Timeout - if ( s.async && s.timeout > 0 ) { - timeoutTimer = window.setTimeout( function() { - jqXHR.abort( "timeout" ); - }, s.timeout ); - } - - try { - completed = false; - transport.send( requestHeaders, done ); - } catch ( e ) { - - // Rethrow post-completion exceptions - if ( completed ) { - throw e; - } - - // Propagate others as results - done( -1, e ); - } - } - - // Callback for when everything is done - function done( status, nativeStatusText, responses, headers ) { - var isSuccess, success, error, response, modified, - statusText = nativeStatusText; - - // Ignore repeat invocations - if ( completed ) { - return; - } - - completed = true; - - // Clear timeout if it exists - if ( timeoutTimer ) { - window.clearTimeout( timeoutTimer ); - } - - // Dereference transport for early garbage collection - // (no matter how long the jqXHR object will be used) - transport = undefined; - - // Cache response headers - responseHeadersString = headers || ""; - - // Set readyState - jqXHR.readyState = status > 0 ? 4 : 0; - - // Determine if successful - isSuccess = status >= 200 && status < 300 || status === 304; - - // Get response data - if ( responses ) { - response = ajaxHandleResponses( s, jqXHR, responses ); - } - - // Convert no matter what (that way responseXXX fields are always set) - response = ajaxConvert( s, response, jqXHR, isSuccess ); - - // If successful, handle type chaining - if ( isSuccess ) { - - // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. - if ( s.ifModified ) { - modified = jqXHR.getResponseHeader( "Last-Modified" ); - if ( modified ) { - jQuery.lastModified[ cacheURL ] = modified; - } - modified = jqXHR.getResponseHeader( "etag" ); - if ( modified ) { - jQuery.etag[ cacheURL ] = modified; - } - } - - // if no content - if ( status === 204 || s.type === "HEAD" ) { - statusText = "nocontent"; - - // if not modified - } else if ( status === 304 ) { - statusText = "notmodified"; - - // If we have data, let's convert it - } else { - statusText = response.state; - success = response.data; - error = response.error; - isSuccess = !error; - } - } else { - - // Extract error from statusText and normalize for non-aborts - error = statusText; - if ( status || !statusText ) { - statusText = "error"; - if ( status < 0 ) { - status = 0; - } - } - } - - // Set data for the fake xhr object - jqXHR.status = status; - jqXHR.statusText = ( nativeStatusText || statusText ) + ""; - - // Success/Error - if ( isSuccess ) { - deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); - } else { - deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); - } - - // Status-dependent callbacks - jqXHR.statusCode( statusCode ); - statusCode = undefined; - - if ( fireGlobals ) { - globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", - [ jqXHR, s, isSuccess ? success : error ] ); - } - - // Complete - completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); - - if ( fireGlobals ) { - globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); - - // Handle the global AJAX counter - if ( !( --jQuery.active ) ) { - jQuery.event.trigger( "ajaxStop" ); - } - } - } - - return jqXHR; - }, - - getJSON: function( url, data, callback ) { - return jQuery.get( url, data, callback, "json" ); - }, - - getScript: function( url, callback ) { - return jQuery.get( url, undefined, callback, "script" ); - } -} ); - -jQuery.each( [ "get", "post" ], function( i, method ) { - jQuery[ method ] = function( url, data, callback, type ) { - - // Shift arguments if data argument was omitted - if ( jQuery.isFunction( data ) ) { - type = type || callback; - callback = data; - data = undefined; - } - - // The url can be an options object (which then must have .url) - return jQuery.ajax( jQuery.extend( { - url: url, - type: method, - dataType: type, - data: data, - success: callback - }, jQuery.isPlainObject( url ) && url ) ); - }; -} ); - - -jQuery._evalUrl = function( url ) { - return jQuery.ajax( { - url: url, - - // Make this explicit, since user can override this through ajaxSetup (#11264) - type: "GET", - dataType: "script", - cache: true, - async: false, - global: false, - "throws": true - } ); -}; - - -jQuery.fn.extend( { - wrapAll: function( html ) { - var wrap; - - if ( this[ 0 ] ) { - if ( jQuery.isFunction( html ) ) { - html = html.call( this[ 0 ] ); - } - - // The elements to wrap the target around - wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); - - if ( this[ 0 ].parentNode ) { - wrap.insertBefore( this[ 0 ] ); - } - - wrap.map( function() { - var elem = this; - - while ( elem.firstElementChild ) { - elem = elem.firstElementChild; - } - - return elem; - } ).append( this ); - } - - return this; - }, - - wrapInner: function( html ) { - if ( jQuery.isFunction( html ) ) { - return this.each( function( i ) { - jQuery( this ).wrapInner( html.call( this, i ) ); - } ); - } - - return this.each( function() { - var self = jQuery( this ), - contents = self.contents(); - - if ( contents.length ) { - contents.wrapAll( html ); - - } else { - self.append( html ); - } - } ); - }, - - wrap: function( html ) { - var isFunction = jQuery.isFunction( html ); - - return this.each( function( i ) { - jQuery( this ).wrapAll( isFunction ? html.call( this, i ) : html ); - } ); - }, - - unwrap: function( selector ) { - this.parent( selector ).not( "body" ).each( function() { - jQuery( this ).replaceWith( this.childNodes ); - } ); - return this; - } -} ); - - -jQuery.expr.pseudos.hidden = function( elem ) { - return !jQuery.expr.pseudos.visible( elem ); -}; -jQuery.expr.pseudos.visible = function( elem ) { - return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length ); -}; - - - - -jQuery.ajaxSettings.xhr = function() { - try { - return new window.XMLHttpRequest(); - } catch ( e ) {} -}; - -var xhrSuccessStatus = { - - // File protocol always yields status code 0, assume 200 - 0: 200, - - // Support: IE <=9 only - // #1450: sometimes IE returns 1223 when it should be 204 - 1223: 204 - }, - xhrSupported = jQuery.ajaxSettings.xhr(); - -support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported ); -support.ajax = xhrSupported = !!xhrSupported; - -jQuery.ajaxTransport( function( options ) { - var callback, errorCallback; - - // Cross domain only allowed if supported through XMLHttpRequest - if ( support.cors || xhrSupported && !options.crossDomain ) { - return { - send: function( headers, complete ) { - var i, - xhr = options.xhr(); - - xhr.open( - options.type, - options.url, - options.async, - options.username, - options.password - ); - - // Apply custom fields if provided - if ( options.xhrFields ) { - for ( i in options.xhrFields ) { - xhr[ i ] = options.xhrFields[ i ]; - } - } - - // Override mime type if needed - if ( options.mimeType && xhr.overrideMimeType ) { - xhr.overrideMimeType( options.mimeType ); - } - - // X-Requested-With header - // For cross-domain requests, seeing as conditions for a preflight are - // akin to a jigsaw puzzle, we simply never set it to be sure. - // (it can always be set on a per-request basis or even using ajaxSetup) - // For same-domain requests, won't change header if already provided. - if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) { - headers[ "X-Requested-With" ] = "XMLHttpRequest"; - } - - // Set headers - for ( i in headers ) { - xhr.setRequestHeader( i, headers[ i ] ); - } - - // Callback - callback = function( type ) { - return function() { - if ( callback ) { - callback = errorCallback = xhr.onload = - xhr.onerror = xhr.onabort = xhr.onreadystatechange = null; - - if ( type === "abort" ) { - xhr.abort(); - } else if ( type === "error" ) { - - // Support: IE <=9 only - // On a manual native abort, IE9 throws - // errors on any property access that is not readyState - if ( typeof xhr.status !== "number" ) { - complete( 0, "error" ); - } else { - complete( - - // File: protocol always yields status 0; see #8605, #14207 - xhr.status, - xhr.statusText - ); - } - } else { - complete( - xhrSuccessStatus[ xhr.status ] || xhr.status, - xhr.statusText, - - // Support: IE <=9 only - // IE9 has no XHR2 but throws on binary (trac-11426) - // For XHR2 non-text, let the caller handle it (gh-2498) - ( xhr.responseType || "text" ) !== "text" || - typeof xhr.responseText !== "string" ? - { binary: xhr.response } : - { text: xhr.responseText }, - xhr.getAllResponseHeaders() - ); - } - } - }; - }; - - // Listen to events - xhr.onload = callback(); - errorCallback = xhr.onerror = callback( "error" ); - - // Support: IE 9 only - // Use onreadystatechange to replace onabort - // to handle uncaught aborts - if ( xhr.onabort !== undefined ) { - xhr.onabort = errorCallback; - } else { - xhr.onreadystatechange = function() { - - // Check readyState before timeout as it changes - if ( xhr.readyState === 4 ) { - - // Allow onerror to be called first, - // but that will not handle a native abort - // Also, save errorCallback to a variable - // as xhr.onerror cannot be accessed - window.setTimeout( function() { - if ( callback ) { - errorCallback(); - } - } ); - } - }; - } - - // Create the abort callback - callback = callback( "abort" ); - - try { - - // Do send the request (this may raise an exception) - xhr.send( options.hasContent && options.data || null ); - } catch ( e ) { - - // #14683: Only rethrow if this hasn't been notified as an error yet - if ( callback ) { - throw e; - } - } - }, - - abort: function() { - if ( callback ) { - callback(); - } - } - }; - } -} ); - - - - -// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432) -jQuery.ajaxPrefilter( function( s ) { - if ( s.crossDomain ) { - s.contents.script = false; - } -} ); - -// Install script dataType -jQuery.ajaxSetup( { - accepts: { - script: "text/javascript, application/javascript, " + - "application/ecmascript, application/x-ecmascript" - }, - contents: { - script: /\b(?:java|ecma)script\b/ - }, - converters: { - "text script": function( text ) { - jQuery.globalEval( text ); - return text; - } - } -} ); - -// Handle cache's special case and crossDomain -jQuery.ajaxPrefilter( "script", function( s ) { - if ( s.cache === undefined ) { - s.cache = false; - } - if ( s.crossDomain ) { - s.type = "GET"; - } -} ); - -// Bind script tag hack transport -jQuery.ajaxTransport( "script", function( s ) { - - // This transport only deals with cross domain requests - if ( s.crossDomain ) { - var script, callback; - return { - send: function( _, complete ) { - script = jQuery( " - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - - - - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - - | - Page source -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/auto_examples/plot_bar.html b/charts/sphinx/_build/html/auto_examples/plot_bar.html deleted file mode 100644 index 9e3e73b..0000000 --- a/charts/sphinx/_build/html/auto_examples/plot_bar.html +++ /dev/null @@ -1,136 +0,0 @@ - - - - - - - Bar Chart — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - -
          -

          Note

          -

          Click here to download the full example code

          -
          -
          -

          Bar Chart

          -

          Makes an example of a bar chart.

          -
          from sqlalchemy import create_engine
-import matplotlib.pyplot as plt
-import matplotlib as mpl
-import pandas as pd
-import configparser
-from psycopg2 import connect
-import psycopg2.sql as pg
-import pandas.io.sql as pandasql
-import numpy as np
-import datetime
-import math
-import rick
-import geopandas as gpd
-import os
-import shapely
-from shapely.geometry import Point
-os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
-import importlib
-import matplotlib.ticker as ticker
-import matplotlib.font_manager as font_manager
-
          -
          -
          -

          Data Collection

          -

          This creates a test dataframe to use

          -
          pass_data = {'cat': ['PTC','Taxi',  'Trip Making Population'],
-        'TTC Pass': [22,16,16],
-        }
-
-transit_pass = pd.DataFrame(pass_data,columns= ['cat', 'TTC Pass'])
-transit_pass  = transit_pass .reindex(index=transit_pass .index[::-1])
-
-fig, ax = rick.charts.bar_chart(transit_pass, xlab='Trips')
-
          -
          -../_images/sphx_glr_plot_bar_001.png -

          Total running time of the script: ( 0 minutes 27.838 seconds)

          - -

          Gallery generated by Sphinx-Gallery

          -
          -
          - - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - - | - Page source -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/auto_examples/plot_chloropleth.html b/charts/sphinx/_build/html/auto_examples/plot_chloropleth.html deleted file mode 100644 index 09c0831..0000000 --- a/charts/sphinx/_build/html/auto_examples/plot_chloropleth.html +++ /dev/null @@ -1,176 +0,0 @@ - - - - - - - Chloropleth Map — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - -
          -

          Note

          -

          Click here to download the full example code

          -
          -
          -

          Chloropleth Map

          -

          Makes an example of a chloropleth map.

          -
          from sqlalchemy import create_engine
-import matplotlib.pyplot as plt
-import matplotlib as mpl
-import pandas as pd
-import configparser
-from psycopg2 import connect
-import psycopg2.sql as pg
-import pandas.io.sql as pandasql
-import numpy as np
-import datetime
-import math
-import rick
-import geopandas as gpd
-import os
-import shapely
-from shapely.geometry import Point
-os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
-import importlib
-import matplotlib.ticker as ticker
-import matplotlib.font_manager as font_manager
-CONFIG = configparser.ConfigParser()
-CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
-dbset = CONFIG['DBSETTINGS']
-con = connect(**dbset)
-
          -
          -
          -

          Data Collection

          -

          This Section grabs and formats the data.

          -
          query = '''
-
-WITH sum AS (
-SELECT extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, extract(week from pickup_datetime) as wk, pickup_neighbourhood,
-sum(count) as count  FROM ptc.trip_data_agg_neighbourhood
-GROUP BY   pickup_datetime, pickup_neighbourhood
-
-), ward1 AS  (
-
-SELECT  avg(count) as count, pickup_neighbourhood from sum
-WHERE (yr=2018 AND mon IN (9))
-GROUP BY pickup_neighbourhood
-ORDER BY count
-), ward2 AS  (
-
-SELECT avg(count) as count, pickup_neighbourhood from sum
-WHERE (yr=2016 AND mon IN (10))
-GROUP BY pickup_neighbourhood
-ORDER BY count
-)
-
-SELECT pickup_neighbourhood,  geom, (b.count - a.count)/(a.count)*100 as growth FROM ward2 a
-LEFT JOIN ward1 b USING ( pickup_neighbourhood)
-LEFT JOIN gis.neighbourhood ON area_s_cd::integer=pickup_neighbourhood
-
-'''
-
          -
          -

          Rotates data 17 degrees to orient Toronto perpendicularly

          -
          data = gpd.GeoDataFrame.from_postgis(query, con, geom_col='geom')
-data = data.to_crs({'init' :'epsg:3857'})
-
-for index, row in data.iterrows():
-    rotated = shapely.affinity.rotate(row['geom'], angle=-17, origin = Point(0, 0))
-    data.at[index, 'geom'] = rotated
-
          -
          -

          The function only needs these columns, in this order

          -
          data=data[['geom', 'growth']]
-
          -
          -

          Calls the Function

          -
          fig, ax = rick.charts.chloro_map(con, data, subway = True, lower = 0, upper = 300, title = 'Growth in Trips',
-                                       island = False,  unit = '%', nbins = 3)
-
          -
          -../_images/sphx_glr_plot_chloropleth_001.png -

          Total running time of the script: ( 0 minutes 18.050 seconds)

          - -

          Gallery generated by Sphinx-Gallery

          -
          -
          - - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - - | - Page source -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/auto_examples/plot_line.html b/charts/sphinx/_build/html/auto_examples/plot_line.html deleted file mode 100644 index e50e557..0000000 --- a/charts/sphinx/_build/html/auto_examples/plot_line.html +++ /dev/null @@ -1,198 +0,0 @@ - - - - - - - Line Chart — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - -
          -

          Note

          -

          Click here to download the full example code

          -
          -
          -

          Line Chart

          -

          Makes an example of a line chart, with an additional baseline plot and custom formatted x axis.

          -
          from sqlalchemy import create_engine
-import matplotlib.pyplot as plt
-import matplotlib as mpl
-import pandas as pd
-import configparser
-from psycopg2 import connect
-import psycopg2.sql as pg
-import pandas.io.sql as pandasql
-import numpy as np
-import datetime
-import math
-import rick
-import geopandas as gpd
-import os
-import shapely
-from shapely.geometry import Point
-os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
-import importlib
-import matplotlib.ticker as ticker
-import matplotlib.font_manager as font_manager
-
-
-CONFIG = configparser.ConfigParser()
-CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
-dbset = CONFIG['DBSETTINGS']
-con = connect(**dbset)
-
          -
          -
          -

          Data Collection

          -

          This Section grabs and formats the data.

          -
          query='''
-WITH daily_ave AS (
-
-SELECT * FROM ptc.daily_trips
-), total AS  (
-SELECT  extract(month from pickup_datetime) as mon,
-extract(year from pickup_datetime) as yr,
-
-CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
-WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
-avg(count)::integer END as count FROM daily_ave
-GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
-ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
-)
-
-
-SELECT
-CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
-WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
-ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
-END AS period,
-count FROM total
-'''
-total=pandasql.read_sql(query, con)
-
          -
          -

          Gets the baseline data (to be graphed in grey)

          -
          query='''
-WITH daily_ave AS (
-
-SELECT * FROM ptc.daily_trips
-), total AS  (
-SELECT  extract(month from pickup_datetime) as mon,
-extract(year from pickup_datetime) as yr,
-
-CASE WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (3) THEN 108321
-WHEN extract(year from pickup_datetime) = 2018 AND extract(month from pickup_datetime) IN (11) THEN 161733 ELSE
-avg(count)::integer END as count FROM daily_ave
-GROUP BY extract(month from pickup_datetime), extract(year from pickup_datetime)
-ORDER BY extract(year from pickup_datetime), extract(month from pickup_datetime)
-)
-
-
-SELECT
-CASE WHEN mon = 1 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
-WHEN mon = 9 AND yr = 2016 THEN to_char(to_timestamp (mon::text, 'MM'), 'Mon')||' '||yr::text
-ELSE to_char(to_timestamp (mon::text, 'MM'), 'Mon')
-END AS period,
-count/2 as count FROM total
-'''
-total2=pandasql.read_sql(query, con)
-
-fig, ax, props = rick.charts.line_chart(total['count'], 'Trips', 'Time', baseline = total2['count'])
-
          -
          -../_images/sphx_glr_plot_line_001.png -

          Adds annotations

          -
          fig.text(0.94, 0.96, '176,000', transform=ax.transAxes, wrap = True, fontsize=9, fontname = 'Libre Franklin',
-         verticalalignment='top', ha = 'center', bbox=props, color = '#660159')
-
          -
          -

          Adds custom x axis

          -
          month_lst2 = ['Sept\n2016',  'Jan\n2017',  'May',  'Sept',
-               'Jan\n2018', 'May',  'Sept',
-              'Jan\n2019','May',]
-plt.xticks(range(0,35,4), month_lst2, fontsize=9, fontname = 'Libre Franklin')
-
          -
          -../_images/sphx_glr_plot_line_002.png -

          Total running time of the script: ( 0 minutes 1.126 seconds)

          - -

          Gallery generated by Sphinx-Gallery

          -
          -
          - - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - - | - Page source -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/auto_examples/plot_stacked.html b/charts/sphinx/_build/html/auto_examples/plot_stacked.html deleted file mode 100644 index 8bac52b..0000000 --- a/charts/sphinx/_build/html/auto_examples/plot_stacked.html +++ /dev/null @@ -1,167 +0,0 @@ - - - - - - - Stacked Bar Chart — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - -
          -

          Note

          -

          Click here to download the full example code

          -
          -
          -

          Stacked Bar Chart

          -

          Makes an example of a stacked bar chart.

          -
          from sqlalchemy import create_engine
-import matplotlib.pyplot as plt
-import matplotlib as mpl
-import pandas as pd
-import configparser
-from psycopg2 import connect
-import psycopg2.sql as pg
-import pandas.io.sql as pandasql
-import numpy as np
-import datetime
-import math
-import rick
-import geopandas as gpd
-import os
-import shapely
-from shapely.geometry import Point
-os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
-import importlib
-import matplotlib.ticker as ticker
-import matplotlib.font_manager as font_manager
-
-
-CONFIG = configparser.ConfigParser()
-CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
-dbset = CONFIG['DBSETTINGS']
-con = connect(**dbset)
-
          -
          -
          -

          Data Collection

          -

          This Section grabs and formats the data.

          -
          query = '''
-
-WITH sum AS (
-
-SELECT pickup_datetime, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr, area_name FROM ptc.trip_data_agg_ward_25
-LEFT JOIN gis.ward_community_lookup ON pickup_ward2018 = area_short
-
-WHERE pickup_datetime > '2016-09-30'
-GROUP BY pickup_datetime, area_name
-), collect AS (
-SELECT area_name, avg(count) as count, mon, yr from sum
-group by area_name,  mon, yr)
-
-,tot1 AS (
-
-SELECT area_name, avg(count) as count FROM collect
-WHERE (yr =2016 AND mon IN (10))
-GROUP BY area_name
-), tot2 AS (
-
-SELECT area_name, avg(count) as count FROM collect
-WHERE (yr =2018 AND mon IN (9))
-GROUP BY area_name
-)
-SELECT SPLIT_PART(area_name, 'Community', 1) as area_name,
-b.count as count1, a.count as count2 FROM tot1 b
-LEFT JOIN tot2 a USING (area_name)
-ORDER BY count1 ASC
-'''
-
-district_cond = pandasql.read_sql(query, con)
-
-fig, ax = rick.charts.stacked_chart(district_cond, xlab = 'Trips', lab1 = '2016', lab2 = '2018', percent = True)
-
          -
          -../_images/sphx_glr_plot_stacked_001.png -

          Total running time of the script: ( 0 minutes 3.557 seconds)

          - -

          Gallery generated by Sphinx-Gallery

          -
          -
          - - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - - | - Page source -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/auto_examples/plot_tow.html b/charts/sphinx/_build/html/auto_examples/plot_tow.html deleted file mode 100644 index c689dc2..0000000 --- a/charts/sphinx/_build/html/auto_examples/plot_tow.html +++ /dev/null @@ -1,161 +0,0 @@ - - - - - - - Time of Week Chart — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - -
          -

          Note

          -

          Click here to download the full example code

          -
          -
          -

          Time of Week Chart

          -

          Makes an example of a time of week chart.

          -
          from sqlalchemy import create_engine
-import matplotlib.pyplot as plt
-import matplotlib as mpl
-import pandas as pd
-import configparser
-from psycopg2 import connect
-import psycopg2.sql as pg
-import pandas.io.sql as pandasql
-import numpy as np
-import datetime
-import math
-import rick
-import geopandas as gpd
-import os
-import shapely
-from shapely.geometry import Point
-os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share"
-import importlib
-import matplotlib.ticker as ticker
-import matplotlib.font_manager as font_manager
-
-
-CONFIG = configparser.ConfigParser()
-CONFIG.read(r'C:\Users\rliu4\Documents\Python\config.cfg')
-dbset = CONFIG['DBSETTINGS']
-con = connect(**dbset)
-
          -
          -
          -

          Data Collection

          -

          This Section grabs and formats the data.

          -
          query = '''
-
-WITH sum AS (
-
-SELECT pickup_datetime, hr, sum(count) as count, extract(month from pickup_datetime) as mon, extract(year from pickup_datetime) as yr,
-extract(dow from pickup_datetime) as dow FROM ptc.trip_data_agg_ward_25
-
-
-WHERE pickup_datetime > '2018-08-31'
-GROUP BY pickup_datetime, hr
-
-)
-, collect AS (
-SELECT  avg(count) as count, hr, dow from sum
-group by hr, dow)
-
-SELECT period_name, period_uid, count, hr, CASE WHEN dow = 0 THEN 7 ELSE dow END AS dow,
-CASE WHEN swatch IS NULL THEN '#999999' ELSE swatch END AS swatch
-FROM collect
-LEFT JOIN ptc.period_lookup_simple ON dow=period_dow AND hr=period_hr
-LEFT JOIN ptc.periods_simple USING (period_uid)
-ORDER BY dow, hr
-
-'''
-count_18 = pandasql.read_sql(query,con)
-
-fig, ax, prop = rick.charts.tow_chart(data = count_18['count'], ylab='Trips', ymax = 14000, yinc= 3500)
-
          -
          -../_images/sphx_glr_plot_tow_001.png -

          Total running time of the script: ( 0 minutes 1.408 seconds)

          - -

          Gallery generated by Sphinx-Gallery

          -
          -
          - - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - - | - Page source -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/auto_examples/sg_execution_times.html b/charts/sphinx/_build/html/auto_examples/sg_execution_times.html deleted file mode 100644 index 932a576..0000000 --- a/charts/sphinx/_build/html/auto_examples/sg_execution_times.html +++ /dev/null @@ -1,86 +0,0 @@ - - - - - - - Computation times — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - -
          -

          Computation times

          -

          00:33.929 total execution time for auto_examples files:

          - -
          - - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - - | - Page source -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/code.html b/charts/sphinx/_build/html/code.html deleted file mode 100644 index 087148c..0000000 --- a/charts/sphinx/_build/html/code.html +++ /dev/null @@ -1,281 +0,0 @@ - - - - - - - Auto Generated Documentation — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - -
          -

          Auto Generated Documentation

          -

          Version 0.8.0

          -
          -
          -class rick.charts[source]
          -

          Class defining all the charting functions.

          -
          -
          -bar_chart(xlab, **kwargs)[source]
          -

          Creates a bar chart

          -
          -
          Parameters
          -
            -

          • data (dataframe) – Data for the bar chart. The dataframe must have 2 columns, the first representing the y ticks, and the second representing the data

            • -

          • xlab (str) – Label for the x axis.

            • -

          • xmax (int, optional, default is the max s value) – The max value of the y axis

            • -

          • xmin (int, optional, default is 0) – The minimum value of the x axis

            • -

          • precision (int, optional, default is -1) – Decimal places in the annotations

            • -

          • xinc (int, optional) – The increment of ticks on the x axis.

            • -
          -
          -
          Returns
          -

            -

          • fig – Matplotlib fig object

            • -

          • ax – Matplotlib ax object

            • -
          -

          -
          -
          -
          - -
          -
          -chloro_map(df, lower, upper, title, **kwargs)[source]
          -

          Creates a chloropleth map

          -
          -
          Parameters
          -
            -

          • con (SQL connection object) – Connection object needed to connect to the RDS

            • -

          • df (GeoPandas Dataframe) – Data for the chloropleth map. The data must only contain 2 columns; the first column has to be the geom column and the second has to be the data that needs to be mapped.

            • -

          • lower (int) – Lower bound for colourmap

            • -

          • upper (int) – Upper bound for the colourmap

            • -

          • title (str) – Legend label

            • -

          • subway (boolean, optional, default: False) – True to display subway on the map

            • -

          • island (boolean, optional, defailt: True) – False to grey out the Toronto island

            • -

          • cmap (str, optional, default: YlOrRd) – Matplotlib colourmap to use for the map

            • -

          • unit (str, optional) – Unit to append to the end of the legend tick

            • -

          • nbins (int, optional, defualt: 2) – Number of ticks in the colourmap

            • -
          -
          -
          Returns
          -

            -

          • fig – Matplotlib fig object

            • -

          • ax – Matplotlib ax object

            • -
          -

          -
          -
          -
          - -
          -
          -line_chart(ylab, xlab, **kwargs)[source]
          -

          Creates a line chart. x axis must be modified manually

          -
          -
          Parameters
          -
            -

          • data (array like or scalar) – Data for the line chart.

            • -

          • ylab (str) – Label for the y axis.

            • -

          • xlab (str) – Label for the x axis.

            • -

          • ymax (int, optional, default is the max y value) – The max value of the y axis

            • -

          • ymin (int, optional, default is 0) – The minimum value of the y axis

            • -

          • baseline (array like or scalar, optional, default is None) – Whether another line representing the baseline needs to be plotted

            • -

          • yinc (int, optional) – The increment of ticks on the y axis.

            • -
          -
          -
          Returns
          -

            -

          • fig – Matplotlib fig object

            • -

          • ax – Matplotlib ax object

            • -

          • props – Dictionary of the text annotation properties

            • -
          -

          -
          -
          -
          - -
          -
          -stacked_chart(xlab, lab1, lab2, **kwargs)[source]
          -

          Creates a stacked bar chart comparing 2 sets of data

          -
          -
          Parameters
          -
            -

          • data (dataframe) – Data for the stacked bar chart. The dataframe must have 3 columns, the first representing the y ticks, the second representing the baseline, and the third representing the next series of data.

            • -

          • xlab (str) – Label for the x axis.

            • -

          • lab1 (str) – Label in the legend for the baseline

            • -

          • lab2 (str) – Label in the legend fot the next data series

            • -

          • xmax (int, optional, default is the max s value) – The max value of the y axis

            • -

          • xmin (int, optional, default is 0) – The minimum value of the x axis

            • -

          • precision (int, optional, default is -1) – Decimal places in the annotations

            • -

          • percent (boolean, optional, default is False) – Whether the annotations should be formatted as percentages

            • -

          • xinc (int, optional) – The increment of ticks on the x axis.

            • -
          -
          -
          Returns
          -

            -

          • fig – Matplotlib fig object

            • -

          • ax – Matplotlib ax object

            • -
          -

          -
          -
          -
          - -
          -
          -tow_chart(ylab, **kwargs)[source]
          -

          Creates a 7 day time of week line chart. Each data point represents 1 hour out of 168 hours.

          -
          -
          Parameters
          -
            -

          • data (array like or scalar) – Data for the tow chart. Data must only have 168 entries, with row 0 representing Monday at midnight.

            • -

          • ylab (str) – Label for the y axis.

            • -

          • ymax (int, optional, default is the max y value) – The max value of the y axis

            • -

          • ymin (int, optional, default is 0) – The minimum value of the y axis

            • -

          • yinc (int, optional) – The increment of ticks on the y axis.

            • -
          -
          -
          Returns
          -

            -

          • fig – Matplotlib fig object

            • -

          • ax – Matplotlib ax object

            • -

          • props – Dictionary of the text annotation properties

            • -
          -

          -
          -
          -
          - -
          - -
          -
          -class rick.colour[source]
          -

          Class defining the global colour variables for all functions.

          -
          - -
          -
          -class rick.font[source]
          -

          Class defining the global font variables for all functions.

          -
          - -
          -
          -rick.func()
          -

          Function to set global settings for the charts class.

          -
          - -
          -
          -class rick.geo[source]
          -

          Class for additional gis layers needed for the cloropleth map.

          -
          -
          -island()[source]
          -

          Function to return a layer of the Toronto island. Since the island is classified in the same neighbourhood as the waterfront, in some cases its not completely accurate to show the island shares the same data as the waterfront.

          -
          -
          Parameters
          -

          con (SQL connection object) – Connection object needed to connect to the RDS

          -
          -
          Returns
          -

          Geopandas Dataframe of the Toronto island.

          -
          -
          Return type
          -

          gdf

          -
          -
          -
          - -
          -
          -ttc()[source]
          -

          Function to return the TTC subway layer.

          -
          -
          Parameters
          -

          con (SQL connection object) – Connection object needed to connect to the RDS

          -
          -
          Returns
          -

          Geopandas Dataframe of the Subway Layer

          -
          -
          Return type
          -

          gdf

          -
          -
          -
          - -
          - -
          - - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - - | - Page source -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/genindex.html b/charts/sphinx/_build/html/genindex.html deleted file mode 100644 index f196877..0000000 --- a/charts/sphinx/_build/html/genindex.html +++ /dev/null @@ -1,174 +0,0 @@ - - - - - - - - Index — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - - -

          Index

          - -
          - B - | C - | F - | G - | I - | L - | R - | S - | T - -
          -

          B

          - - -
          - -

          C

          - - - -
          - -

          F

          - - - -
          - -

          G

          - - -
          - -

          I

          - - -
          - -

          L

          - - -
          - -

          R

          - - -
          - -

          S

          - - -
          - -

          T

          - - - -
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          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/index.html b/charts/sphinx/_build/html/index.html deleted file mode 100644 index f90d159..0000000 --- a/charts/sphinx/_build/html/index.html +++ /dev/null @@ -1,98 +0,0 @@ - - - - - - - Repeatable Information Charts Kit README — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - - -
          -
          -
          -
          - -
          -

          Repeatable Information Charts Kit README

          -

          This module was inspired by charts created for the VFH Bylaw Review Report. There was a need to develop a standardized brand and design language for everything BDITTO produces, so this module aims to produce a regularized set of charts and maps that are consistent with previous charts we create. All of the chart/map producing functions returns a matplotlib fig and ax object so that the figure can be further modified using matplotlib functions.

          -
          -

          Contents:

          - -
          -
          -
          -

          Indices and tables

          - -
          - - -
          -
          -
          - -
          -
          -
          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - - | - Page source -
          - - - - - - \ No newline at end of file diff --git a/charts/sphinx/_build/html/objects.inv b/charts/sphinx/_build/html/objects.inv deleted file mode 100644 index 48d644b2bb4b20d36cf392d4959a6db603ca5050..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 724 zcmV;_0xSI^AX9K?X>NERX>N99Zgg*Qc_4OWa&u{KZXhxWBOp+6Z)#;@bUGkbMo1t- zXkl`6a|$CMR%LQ?X>V>iATTaBE-?xtAXI2&AaZ4GVQFq;WpW^IW*~HEX>%ZEX>4U6 zX>%ZBZ*6dLWpi_7WFU2OX>MmAdTeQ8E(&x1mBFU4mALXp z^qSB_J8HuVrmaDk3uX+t8L<;+vtv4KA6sp(h020FFND%6tympdAW8`z>R>G62gp8D zW7S(EuY_v!%GKkIawC#39t9Vp{>xIj-Ma*-4-i) zBhu^Mk4m?!o>RwRTaiV?>-|D_(P%e@D{39(1%G!X!3%Jsx}xa_ulJ{{0RNT00EbyY zle=f&4NhQc9c`ASFWK%^RaG~ZwL{zVYO$E{yCppOX znG2+mr0xNk`95Y zPoa)yxm##T5uy&FPV0R#LygDDi!d+^YS73CMnls~hitXUjqo!hJZJcuY?)L<-A zZ&E0heQA1n(Lju7oP{sTQOMFHP?6R?k)@ECK2(t|J{_u%mr=SR?fiGFLN>a5(c~Xh G`CDU4F;IK} diff --git a/charts/sphinx/_build/html/py-modindex.html b/charts/sphinx/_build/html/py-modindex.html deleted file mode 100644 index 14783d3..0000000 --- a/charts/sphinx/_build/html/py-modindex.html +++ /dev/null @@ -1,96 +0,0 @@ - - - - - - - Python Module Index — VFH Charts 2019-07-16 documentation - - - - - - - - - - - - - - - - - - - - - - - - -
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          - - -

          Python Module Index

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          - r
          - rick -
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          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - -
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          -
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          Search

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          - Please activate JavaScript to enable the search - functionality. -

          -
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          - From here you can search these documents. Enter your search - words into the box below and click "search". Note that the search - function will automatically search for all of the words. Pages - containing fewer words won't appear in the result list. -

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          - ©2019, Rick Liu. - - | - Powered by Sphinx 2.1.2 - & Alabaster 0.7.10 - -
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of Charts","Bar Chart","Chloropleth Map","Line Chart","Stacked Bar Chart","Time of Week Chart","Computation times","Auto Generated Documentation","Repeatable Information Charts Kit README"],titleterms:{auto:7,bar:[1,4],chart:[0,1,3,4,5,8],chloropleth:2,collect:[1,2,3,4,5],comput:6,data:[1,2,3,4,5],document:7,galleri:0,gener:7,indic:8,inform:8,kit:8,line:3,map:2,readm:8,repeat:8,stack:4,tabl:8,time:[5,6],week:5}}) \ No newline at end of file From 204397a46d5009f82e20b7ef607521d7e8318e3a Mon Sep 17 00:00:00 2001 From: radumas Date: Thu, 24 Oct 2019 15:23:12 -0400 Subject: [PATCH 26/31] Bugfix #13 only create baseline if baseline exists --- charts/rick.py | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/charts/rick.py b/charts/rick.py index 44a8fea..66deac5 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -19,9 +19,6 @@ import matplotlib.font_manager as font_manager import numpy as np -#shapely workaround for windows -#os.environ["PROJ_LIB"]=r"C:\Users\rliu4\AppData\Local\Continuum\anaconda3\Library\share" - class font: """ Class defining the global font variables for all functions. @@ -278,7 +275,8 @@ def line_chart(data, ylab, xlab, **kwargs): fig, ax =plt.subplots() ax.plot(data ,linewidth=3, color = colour.purple) - ax.plot(baseline ,linewidth=3, color = colour.grey) + if baseline: + ax.plot(baseline ,linewidth=3, color = colour.grey) plt.grid() ax.yaxis.set_major_formatter(mpl.ticker.StrMethodFormatter('{x:,.0f}')) @@ -288,13 +286,16 @@ def line_chart(data, ylab, xlab, **kwargs): plt.xlabel(xlab, fontsize=9, fontweight = 'bold', horizontalalignment='right', x=0, labelpad=10, fontname = font.normal) ax.grid(color='k', linestyle='-', linewidth=0.2) - plt.ylabel(ylab, fontsize=9, fontweight = 'bold', horizontalalignment='right', y=1.0, + plt.ylabel(ylab, fontsize=9, fontweight = 'bold', + horizontalalignment='right', y=1.0, labelpad=10, fontname = font.normal) fig.set_size_inches(6.1, 4.1) plt.xticks(fontsize=9, fontname = font.normal) - plt.yticks(range(ymin,int(4.1*yinc), yinc), fontsize =9, fontname = font.normal) + plt.yticks(range(ymin,int(4.1*yinc), yinc), fontsize =9, + fontname = font.normal) - props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple, linewidth = 2, facecolor = 'w', alpha=1) + props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple, + linewidth = 2, facecolor = 'w', alpha=1) ax.set_ylim([ymin,int(4*yinc+ymin)]) fig.patch.set_facecolor('w') @@ -588,4 +589,4 @@ def bar_chart(data_in, xlab,**kwargs): plt.xticks(range(xmin,upper+int(0.1*xinc), xinc), fontname = font.normal, fontsize =10) plt.yticks( fontname = font.normal, fontsize =10) - return fig, ax \ No newline at end of file + return fig, ax From 22ea477e02c5ffa3435872d43ee577479b261710 Mon Sep 17 00:00:00 2001 From: radumas Date: Thu, 24 Oct 2019 15:31:52 -0400 Subject: [PATCH 27/31] #13 Upgrade version --- charts/setup.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/charts/setup.py b/charts/setup.py index b6a7cd8..2b445b3 100644 --- a/charts/setup.py +++ b/charts/setup.py @@ -2,7 +2,7 @@ setup( name='rick', - version='0.1', + version='0.2', description='Standardized matplotlib charts and graphs', packages=find_packages(), install_requires=[ From 154e34120fa5ced3ed0f62a4a748ae52b88cff47 Mon Sep 17 00:00:00 2001 From: radumas Date: Mon, 4 Nov 2019 15:22:05 -0500 Subject: [PATCH 28/31] Fix #16 Change baseline check --- charts/rick.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/charts/rick.py b/charts/rick.py index 66deac5..7c6f342 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -244,7 +244,7 @@ def line_chart(data, ylab, xlab, **kwargs): ymin : int, optional, default is 0 The minimum value of the y axis baseline : array like or scalar, optional, default is None - Whether another line representing the baseline needs to be plotted + Data for another line representing the baseline. yinc : int, optional The increment of ticks on the y axis. @@ -275,7 +275,7 @@ def line_chart(data, ylab, xlab, **kwargs): fig, ax =plt.subplots() ax.plot(data ,linewidth=3, color = colour.purple) - if baseline: + if baseline is not None: ax.plot(baseline ,linewidth=3, color = colour.grey) plt.grid() From ceae92ecf895020ed2a90c1cd8d956dcd96bf62e Mon Sep 17 00:00:00 2001 From: radumas Date: Mon, 4 Nov 2019 15:28:54 -0500 Subject: [PATCH 29/31] Fix #15 set ylim uses ymax --- charts/rick.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/charts/rick.py b/charts/rick.py index 7c6f342..59650aa 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -297,7 +297,7 @@ def line_chart(data, ylab, xlab, **kwargs): props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple, linewidth = 2, facecolor = 'w', alpha=1) - ax.set_ylim([ymin,int(4*yinc+ymin)]) + ax.set_ylim([ymin, ymax]) fig.patch.set_facecolor('w') return fig, ax, props From e33d8354e1fe354bf7f239f8598d5ddcf97797d3 Mon Sep 17 00:00:00 2001 From: radumas Date: Mon, 4 Nov 2019 15:32:27 -0500 Subject: [PATCH 30/31] Ensuring ticks don't go off figure #15 --- charts/rick.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/charts/rick.py b/charts/rick.py index 59650aa..39b8bb8 100644 --- a/charts/rick.py +++ b/charts/rick.py @@ -291,7 +291,7 @@ def line_chart(data, ylab, xlab, **kwargs): labelpad=10, fontname = font.normal) fig.set_size_inches(6.1, 4.1) plt.xticks(fontsize=9, fontname = font.normal) - plt.yticks(range(ymin,int(4.1*yinc), yinc), fontsize =9, + plt.yticks(range(ymin, ymax + yinc, yinc), fontsize =9, fontname = font.normal) props = dict(boxstyle='round, pad=0.4',edgecolor=colour.purple, From 41fc75ae38127d66b3527b4638ed589ef1e2bbcc Mon Sep 17 00:00:00 2001 From: Raphael Dumas Date: Tue, 17 Aug 2021 09:47:36 -0400 Subject: [PATCH 31/31] change psycopg2 package requirement psycopg2-binary will make install easier --- charts/setup.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/charts/setup.py b/charts/setup.py index 2b445b3..61bf0b2 100644 --- a/charts/setup.py +++ b/charts/setup.py @@ -2,16 +2,16 @@ setup( name='rick', - version='0.2', + version='0.2.1', description='Standardized matplotlib charts and graphs', packages=find_packages(), install_requires=[ 'matplotlib', - 'psycopg2', + 'psycopg2-binary', 'geopandas', 'pandas', 'shapely', 'seaborn' ], python_requires='>=3' -) \ No newline at end of file +)