From bd73994e9a2d680542b5bc530ca316b6dd27c85c Mon Sep 17 00:00:00 2001 From: AxMeNi <159522803+AxMeNi@users.noreply.github.com> Date: Wed, 12 Nov 2025 00:08:25 +0100 Subject: [PATCH 1/3] feat: added new functionalitis to display the images after simulations --- src/results_explorer.ipynb | 1831 +++++++++++++++++++++++++++++++++--- 1 file changed, 1714 insertions(+), 117 deletions(-) diff --git a/src/results_explorer.ipynb b/src/results_explorer.ipynb index 63bdc2d..f98a8d2 100644 --- a/src/results_explorer.ipynb +++ b/src/results_explorer.ipynb @@ -2,32 +2,1690 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 82, "id": "f9e1b224", "metadata": {}, "outputs": [], "source": [ "from variability import calculate_indicators\n", + "from ti_mask_generation import gen_ti_frame_squares\n", "from utils import load_pickle_file\n", + "from display_functions import plot_realizations\n", + "import geone as gn\n", "import pickle\n", "import matplotlib.pyplot as plt\n", "from sklearn import manifold\n", "from matplotlib import cm\n", "from matplotlib.lines import Line2D\n", - "import numpy as np" + "import numpy as np\n", + "import zipfile\n", + "import csv\n", + "import ast\n", + "import numpy as np\n", + "from itertools import product\n" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, + "id": "456dff81", "metadata": {}, "outputs": [], "source": [ - "import zipfile\n", - "import csv\n", - "import ast\n", - "import numpy as np\n", + "SEED_LIST=[852,123,456,789,254,\n", + " #648,675,585,654,157\n", + " ]\n", + "TI_PCT_AREA_LIST=[25,\n", + " 55,\n", + " #75,\n", + " 90]\n", + "NUM_SHAPE_LIST=[#1,\n", + " 5,\n", + " 10,\n", + " 15,\n", + " 50]\n", + "AUX_VARS_LIST=[\n", + " \"grid_grv\",\n", + " \"grid_lmp\",\n", + " \"grid_mag\",\n", + " \"grid_grv,grid_lmp\",\n", + " \"grid_grv,grid_mag\",\n", + " \"grid_lmp,grid_mag\",\n", + " # \"grid_grv,grid_lmp,grid_mag\",\n", + "]" + ] + }, + { + "cell_type": "markdown", + "id": "6ad481fe", + "metadata": {}, + "source": [ + "# THE CELLS BELOW ARE FOR DISPLAYING THE IMAGES" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "edd69bba", + "metadata": {}, + "outputs": [], + "source": [ + "def find_all_simulation_folders(ti_pct, num_shape, ti_aux_var, combinations_dict=None,\n", + " seed=None, zip_path=r'K:\\CET\\Resultats\\results.zip', output_dir=None):\n", + " norm = lambda s: s.strip().lower()\n", + " aux_set = {norm(x) for x in ti_aux_var.split(\",\")}\n", + " result = {}\n", + "\n", + " seed_filter = set(map(int, seed)) if seed is not None else (\n", + " set(int(v[\"seed\"]) for v in combinations_dict.values()) if combinations_dict else None\n", + " )\n", + "\n", + " def parse_folder(folder):\n", + " # output_mps_clf_{ti_pct}_{aux_vars}_{seed}/\n", + " name = folder.strip('/').split('/')[-1]\n", + " if not name.startswith('output_mps_clf_'):\n", + " return None\n", + " parts = name[len('output_mps_clf_'):].rsplit('_', 1)\n", + " if len(parts) != 2:\n", + " return None\n", + " left, seed_str = parts\n", + " try:\n", + " seed_val = int(seed_str)\n", + " except ValueError:\n", + " return None\n", + " sub = left.split('_', 1)\n", + " if len(sub) != 2:\n", + " return None\n", + " ti_pct_str, aux_vars_str = sub\n", + " try:\n", + " ti_pct_val = int(ti_pct_str)\n", + " except ValueError:\n", + " return None\n", + " return ti_pct_val, aux_vars_str, seed_val\n", "\n", + " import zipfile, csv, ast\n", + " with zipfile.ZipFile(zip_path, 'r') as zipf:\n", + " folders = [f for f in zipf.namelist() if f.startswith('output_mps_clf_') and f.endswith('/')]\n", + " for folder in folders:\n", + " parsed = parse_folder(folder)\n", + " if not parsed:\n", + " continue\n", + " ti_pct_in_folder, aux_vars_in_folder, seed_in_folder = parsed\n", + "\n", + " if seed_filter is not None and seed_in_folder not in seed_filter:\n", + " continue\n", + "\n", + " log_path = folder + 'deesse_output/simulation_log.csv'\n", + " try:\n", + " with zipf.open(log_path) as log_file:\n", + " reader = csv.DictReader((line.decode('utf-8') for line in log_file))\n", + " for row in reader:\n", + " try:\n", + " row_aux_set = {norm(x) for x in ast.literal_eval(row['auxTI_var'])}\n", + " except Exception:\n", + " continue\n", + "\n", + " if (int(row['ti_pct_area']) == int(ti_pct)\n", + " and int(row['ti_nshapes']) == int(num_shape)\n", + " and row_aux_set == aux_set\n", + " and {norm(x) for x in aux_vars_in_folder.split(',')} == aux_set):\n", + " if combinations_dict:\n", + " for idx, combo in combinations_dict.items():\n", + " if (int(combo['seed']) == seed_in_folder\n", + " and int(combo['ti_pct_area']) == int(ti_pct)\n", + " and int(combo['num_shape']) == int(num_shape)\n", + " and {norm(x) for x in str(combo['aux_vars']).split(',')} == aux_set):\n", + " result[idx] = folder\n", + " break\n", + " else:\n", + " result[seed_in_folder] = folder\n", + " break\n", + " except KeyError:\n", + " continue\n", + " return result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8ee2b1bf", + "metadata": {}, + "outputs": [], + "source": [ + "combinations_dict = {\n", + " i: {\"seed\": s, \"ti_pct_area\": t, \"num_shape\": n, \"aux_vars\": a}\n", + " for i, (s, t, n, a) in enumerate(\n", + " product(SEED_LIST, TI_PCT_AREA_LIST+[75], NUM_SHAPE_LIST+[1], AUX_VARS_LIST+[\"grid_grv,grid_lmp,grid_mag\"]), 1\n", + " )\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "ed81aaf1", + "metadata": {}, + "outputs": [], + "source": [ + "all_folders= {}\n", + "for ti_pct_i in TI_PCT_AREA_LIST+[75]:\n", + " for num_shape_i in NUM_SHAPE_LIST+[1]:\n", + " for ti_aux_var_i in AUX_VARS_LIST+[\"grid_grv,grid_lmp,grid_mag\"]:\n", + " folders = find_all_simulation_folders(\n", + " ti_pct=ti_pct_i,\n", + " num_shape=num_shape_i,\n", + " ti_aux_var=ti_aux_var_i,\n", + " seed=[852,123,456,789,254],\n", + " combinations_dict = combinations_dict\n", + " )\n", + " all_folders |= folders\n", + " " + ] + }, 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"output_mps_clf_179_grid_lmp_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_lmp'}\n", + "output_mps_clf_319_grid_lmp_456/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_lmp'}\n", + "output_mps_clf_39_grid_lmp_852/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_lmp'}\n", + "output_mps_clf_459_grid_lmp_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_lmp'}\n", + "output_mps_clf_599_grid_lmp_254/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_mag'}\n", + "output_mps_clf_199_grid_mag_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_mag'}\n", + "output_mps_clf_339_grid_mag_456/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_mag'}\n", + "output_mps_clf_479_grid_mag_789/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_mag'}\n", + "output_mps_clf_59_grid_mag_852/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_mag'}\n", + "output_mps_clf_619_grid_mag_254/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_lmp'}\n", + "output_mps_clf_219_grid_grv,grid_lmp_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_lmp'}\n", + "output_mps_clf_359_grid_grv,grid_lmp_456/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_lmp'}\n", + "output_mps_clf_499_grid_grv,grid_lmp_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_lmp'}\n", + "output_mps_clf_639_grid_grv,grid_lmp_254/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_lmp'}\n", + "output_mps_clf_79_grid_grv,grid_lmp_852/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_mag'}\n", + "output_mps_clf_239_grid_grv,grid_mag_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_mag'}\n", + "output_mps_clf_379_grid_grv,grid_mag_456/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_mag'}\n", + "output_mps_clf_519_grid_grv,grid_mag_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_mag'}\n", + "output_mps_clf_659_grid_grv,grid_mag_254/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_mag'}\n", + "output_mps_clf_99_grid_grv,grid_mag_852/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_lmp,grid_mag'}\n", + "output_mps_clf_119_grid_lmp,grid_mag_852/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_lmp,grid_mag'}\n", + "output_mps_clf_259_grid_lmp,grid_mag_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_lmp,grid_mag'}\n", + "output_mps_clf_399_grid_lmp,grid_mag_456/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_lmp,grid_mag'}\n", + "output_mps_clf_539_grid_lmp,grid_mag_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_lmp,grid_mag'}\n", + "output_mps_clf_679_grid_lmp,grid_mag_254/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", + "output_mps_clf_139_grid_grv,grid_lmp,grid_mag_852/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", + "output_mps_clf_279_grid_grv,grid_lmp,grid_mag_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", + "output_mps_clf_419_grid_grv,grid_lmp,grid_mag_456/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", + "output_mps_clf_559_grid_grv,grid_lmp,grid_mag_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 50, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", + "output_mps_clf_699_grid_grv,grid_lmp,grid_mag_254/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv'}\n", + "output_mps_clf_143_grid_grv_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv'}\n", + "output_mps_clf_283_grid_grv_456/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv'}\n", + "output_mps_clf_3_grid_grv_852/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv'}\n", + "output_mps_clf_423_grid_grv_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv'}\n", + "output_mps_clf_563_grid_grv_254/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp'}\n", + "output_mps_clf_163_grid_lmp_123/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp'}\n", + "output_mps_clf_23_grid_lmp_852/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp'}\n", + "output_mps_clf_303_grid_lmp_456/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp'}\n", + "output_mps_clf_443_grid_lmp_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp'}\n", + "output_mps_clf_583_grid_lmp_254/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_mag'}\n", + "output_mps_clf_183_grid_mag_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_mag'}\n", + "output_mps_clf_323_grid_mag_456/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_mag'}\n", + "output_mps_clf_43_grid_mag_852/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_mag'}\n", + "output_mps_clf_463_grid_mag_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_mag'}\n", + "output_mps_clf_603_grid_mag_254/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp'}\n", + "output_mps_clf_203_grid_grv,grid_lmp_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp'}\n", + "output_mps_clf_343_grid_grv,grid_lmp_456/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp'}\n", + "output_mps_clf_483_grid_grv,grid_lmp_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp'}\n", + "output_mps_clf_623_grid_grv,grid_lmp_254/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp'}\n", + "output_mps_clf_63_grid_grv,grid_lmp_852/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_mag'}\n", + "output_mps_clf_223_grid_grv,grid_mag_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_mag'}\n", + "output_mps_clf_363_grid_grv,grid_mag_456/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_mag'}\n", + "output_mps_clf_503_grid_grv,grid_mag_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_mag'}\n", + "output_mps_clf_643_grid_grv,grid_mag_254/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_mag'}\n", + "output_mps_clf_83_grid_grv,grid_mag_852/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp,grid_mag'}\n", + "output_mps_clf_103_grid_lmp,grid_mag_852/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp,grid_mag'}\n", + "output_mps_clf_243_grid_lmp,grid_mag_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp,grid_mag'}\n", + "output_mps_clf_383_grid_lmp,grid_mag_456/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp,grid_mag'}\n", + "output_mps_clf_523_grid_lmp,grid_mag_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp,grid_mag'}\n", + "output_mps_clf_663_grid_lmp,grid_mag_254/\n", + "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", + "output_mps_clf_123_grid_grv,grid_lmp,grid_mag_852/\n", + "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", + "output_mps_clf_263_grid_grv,grid_lmp,grid_mag_123/\n", + "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", + "output_mps_clf_403_grid_grv,grid_lmp,grid_mag_456/\n", + "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", + "output_mps_clf_543_grid_grv,grid_lmp,grid_mag_789/\n", + "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", + "output_mps_clf_683_grid_grv,grid_lmp,grid_mag_254/\n" + ] + } + ], + "source": [ + "for (key, item) in all_folders.items():\n", + " print(combinations_dict[key])\n", + " print(item)" + ] + }, + { + "cell_type": "markdown", + "id": "cd9d40cb", + "metadata": {}, + "source": [ + "### The cell below is for displaying the TIs wih their mask." + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "00907c17", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "image = np.load(r\"..\\data\\grid_geo.npy\")\n", + "for (key, item) in all_folders.items():\n", + " ti_frame, need_to_cut = gen_ti_frame_squares(529,337, \n", + " ti_pct_area = combinations_dict[key]['ti_pct_area'], \n", + " ti_nsquares = combinations_dict[key]['num_shape'], \n", + " seed = combinations_dict[key]['seed'])\n", + " masked_ti = np.ma.masked_array(image, mask = ti_frame[0])\n", + " plt.imshow(masked_ti)\n", + " break\n" + ] + }, + { + "cell_type": "markdown", + "id": "552a7428", + "metadata": {}, + "source": [ + "### The cell below is for displaying the Simulated Images." + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "d363f3dc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with zipfile.ZipFile(r\"K:\\CET\\Resultats\\results.zip\") as zip:\n", + " for (key, item) in all_folders.items():\n", + " deesse_output = pickle.load(zip.open(item + 'deesse_output/deesse_output.pkl', mode='r'))\n", + " plot_realizations(deesse_output, varname='grid_geo', index_real=0, n_real=10, show=True)\n", + " break" + ] + }, + { + "cell_type": "markdown", + "id": "764f81c2", + "metadata": {}, + "source": [ + "# THE CELLS BELOW ARE FOR DISPLAYING THE ANALYSIS OF THE RESULTS" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9a860e8d", + "metadata": {}, + "outputs": [], + "source": [ "def find_all_simulation_folders(ti_pct, num_shape, ti_aux_var, seed=[852,123,456,789,254,648], zip_path=r'K:\\CET\\Resultats\\results.zip', output_dir=None):\n", " aux_var_str = \",\".join(sorted(ti_aux_var.split(\",\"))) # Normalise les variables\n", " matched_folders = []\n", @@ -58,44 +1716,13 @@ " break\n", " except KeyError:\n", " continue\n", - " return matched_folders\n", - " # if matched_folders:\n", - " # # Choix du dossier de sortie\n", - " # if output_dir is None:\n", - " # # Dossier par défaut = un dossier temporaire\n", - " # extract_dir = os.path.join(os.getcwd(), f\"mps_sim_{next(tempfile._get_candidate_names())}\")\n", - " # else:\n", - " # # On utilise directement le dossier fourni\n", - " # extract_dir = os.path.abspath(output_dir)\n", - "\n", - " # os.makedirs(extract_dir, exist_ok=True)\n", - "\n", - " # with zipfile.ZipFile(zip_path, 'r') as zipf:\n", - " # for folder in matched_folders:\n", - " # for file in zipf.namelist():\n", - " # if file.startswith(folder):\n", - " # zipf.extract(file, extract_dir)\n", - "\n", - " # # Construire la liste des chemins extraits\n", - " # extracted_paths = [os.path.join(extract_dir, f) for f in matched_folders]\n", - "\n", - " # print(\"✅ Dossiers extraits :\")\n", - " # for p in extracted_paths:\n", - " # print(\" \", p)\n", - "\n", - " # # Ouvre le dossier global qui contient tout\n", - " # subprocess.run(['explorer', os.path.realpath(extract_dir)], check=False)\n", - "\n", - " # return extracted_paths\n", - " # else:\n", - " # print(\"❌ Aucun dossier correspondant trouvé.\")\n", - " # return []" + " return matched_folders\n" ] }, { "cell_type": "code", "execution_count": null, - "id": "43cc3a7a", + "id": "27efa3ec", "metadata": {}, "outputs": [], "source": [ @@ -121,34 +1748,38 @@ " # \"grid_grv,grid_lmp,grid_mag\",\n", "]\n", "\n", - "reference_folder = find_all_simulation_folders(\n", - " ti_pct=75,\n", - " num_shape=1,\n", - " ti_aux_var=\"grid_grv,grid_lmp,grid_mag\",\n", - " seed=[852,123,456,789,254]\n", - " )\n", "\n", - "compared_folders = []\n", "\n", - "for aux_var in AUX_VARS_LIST:\n", - " matched_folders = find_all_simulation_folders(\n", - " ti_pct=75,\n", - " num_shape=1,\n", - " ti_aux_var=aux_var,\n", - " output_dir = r\"K:\\CET\\Resultats\\TEST\",\n", - " seed=[852,123,456,789,254]\n", - " )\n", "\n", - " compared_folders.extend(matched_folders)\n", + "# reference_folders_dict = find_all_simulation_folders(\n", + "# ti_pct=75,\n", + "# num_shape=1,\n", + "# ti_aux_var=\"grid_grv,grid_lmp,grid_mag\",\n", + "# output_dir = r\"K:\\CET\\Resultats\\TEMP2\",\n", + "# seed=[852,123,456,789,254],\n", + "# )\n", "\n", - "deesse_outputs = []\n", - "with zipfile.ZipFile(r\"K:\\CET\\Resultats\\results.zip\") as zip:\n", - " for matched_folder in compared_folders:\n", - " log_path = matched_folder + 'deesse_output/deesse_output.pkl'\n", - " deesse_output = pickle.load(zip.open(log_path, mode='r'))\n", - " deesse_outputs.append(deesse_output)\n", - " for matched_folder in reference_folder:\n", - " deesse_outputs.append(pickle.load(zip.open(matched_folder + 'deesse_output/deesse_output.pkl', mode='r')))\n", + "# compared_folders = []\n", + "\n", + "# for aux_var in AUX_VARS_LIST:\n", + "# matched_folders_dict = find_all_simulation_folders(\n", + "# ti_pct=75,\n", + "# num_shape=1,\n", + "# ti_aux_var=aux_var,\n", + "# output_dir = r\"K:\\CET\\Resultats\\TEMP2\",\n", + "# seed=[852,123,456,789,254]\n", + "# )\n", + "\n", + "# compared_folders.extend(matched_folders)\n", + "\n", + "# deesse_outputs = []\n", + "# with zipfile.ZipFile(r\"K:\\CET\\Resultats\\results.zip\") as zip:\n", + "# for matched_folder in compared_folders:\n", + "# log_path = matched_folder + 'deesse_output/deesse_output.pkl'\n", + "# deesse_output = pickle.load(zip.open(log_path, mode='r'))\n", + "# deesse_outputs.append(deesse_output)\n", + "# for matched_folder in reference_folder:\n", + "# deesse_outputs.append(pickle.load(zip.open(matched_folder + 'deesse_output/deesse_output.pkl', mode='r')))\n", "\n", "\n", "\n" @@ -156,60 +1787,26 @@ }, { "cell_type": "code", - "execution_count": 21, - "id": "554b1e93", - "metadata": {}, - "outputs": [], - "source": [ - "reference_folder = find_all_simulation_folders(\n", - " ti_pct=90,\n", - " num_shape=1,\n", - " ti_aux_var=\"grid_grv,grid_lmp,grid_mag\",\n", - " seed=[852,123,456,789,254]\n", - " )\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, + "execution_count": 42, "id": "cfcf24b1", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "*** Img object ***\n", - "name = ''\n", - "(nx, ny, nz) = (337, 529, 1) # number of cells along each axis\n", - "(sx, sy, sz) = (1.0, 1.0, 1.0) # cell size (spacing) along each axis\n", - "(ox, oy, oz) = (0.0, 0.0, 0.0) # origin (coordinates of bottom-lower-left corner)\n", - "nv = 1 # number of variable(s)\n", - "varname = ['grid_geo_real00000']\n", - "val: (1, 1, 529, 337)-array\n", - "*****\n" + "ename": "KeyboardInterrupt", + "evalue": "decoding with 'cp437' codec failed (KeyboardInterrupt: )", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32mc:\\Users\\Axel (Travail)\\.conda\\envs\\PythonEnvGeoclassifMPS\\lib\\encodings\\cp437.py:14\u001b[0m, in \u001b[0;36mCodec.decode\u001b[1;34m(self, input, errors)\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m codecs\u001b[38;5;241m.\u001b[39mcharmap_encode(\u001b[38;5;28minput\u001b[39m,errors,encoding_map)\n\u001b[1;32m---> 14\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mdecode\u001b[39m(\u001b[38;5;28mself\u001b[39m,\u001b[38;5;28minput\u001b[39m,errors\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstrict\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[0;32m 15\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m codecs\u001b[38;5;241m.\u001b[39mcharmap_decode(\u001b[38;5;28minput\u001b[39m,errors,decoding_table)\n", + "\u001b[1;31mKeyboardInterrupt\u001b[0m: ", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[42], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mdisplay_functions\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m plot_realizations\n\u001b[1;32m----> 2\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[43mzipfile\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mZipFile\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43mr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mK:\u001b[39;49m\u001b[38;5;124;43m\\\u001b[39;49m\u001b[38;5;124;43mCET\u001b[39;49m\u001b[38;5;124;43m\\\u001b[39;49m\u001b[38;5;124;43mResultats\u001b[39;49m\u001b[38;5;124;43m\\\u001b[39;49m\u001b[38;5;124;43mresults.zip\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m z:\n\u001b[0;32m 3\u001b[0m deesse_output \u001b[38;5;241m=\u001b[39m pickle\u001b[38;5;241m.\u001b[39mload(z\u001b[38;5;241m.\u001b[39mopen(reference_folder[\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdeesse_output/deesse_output.pkl\u001b[39m\u001b[38;5;124m\"\u001b[39m, mode\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m))\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28mprint\u001b[39m(deesse_output[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msim\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m])\n", + "File \u001b[1;32mc:\\Users\\Axel (Travail)\\.conda\\envs\\PythonEnvGeoclassifMPS\\lib\\zipfile.py:1268\u001b[0m, in \u001b[0;36mZipFile.__init__\u001b[1;34m(self, file, mode, compression, allowZip64, compresslevel, strict_timestamps)\u001b[0m\n\u001b[0;32m 1266\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 1267\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m mode \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m-> 1268\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_RealGetContents\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1269\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m mode \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[0;32m 1270\u001b[0m \u001b[38;5;66;03m# set the modified flag so central directory gets written\u001b[39;00m\n\u001b[0;32m 1271\u001b[0m \u001b[38;5;66;03m# even if no files are added to the archive\u001b[39;00m\n\u001b[0;32m 1272\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_didModify \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n", + "File \u001b[1;32mc:\\Users\\Axel (Travail)\\.conda\\envs\\PythonEnvGeoclassifMPS\\lib\\zipfile.py:1373\u001b[0m, in \u001b[0;36mZipFile._RealGetContents\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 1370\u001b[0m filename \u001b[38;5;241m=\u001b[39m filename\u001b[38;5;241m.\u001b[39mdecode(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 1371\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 1372\u001b[0m \u001b[38;5;66;03m# Historical ZIP filename encoding\u001b[39;00m\n\u001b[1;32m-> 1373\u001b[0m filename \u001b[38;5;241m=\u001b[39m \u001b[43mfilename\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdecode\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mcp437\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 1374\u001b[0m \u001b[38;5;66;03m# Create ZipInfo instance to store file information\u001b[39;00m\n\u001b[0;32m 1375\u001b[0m x \u001b[38;5;241m=\u001b[39m ZipInfo(filename)\n", + "\u001b[1;31mKeyboardInterrupt\u001b[0m: decoding with 'cp437' codec failed (KeyboardInterrupt: )" ] - }, - { - "data": { - "image/png": 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/q17Eil9lv2qsjUBYM2ezUoOhi2updRrYz+wB4Oint/D26+/GLcys25ALlIgpFBngnALneHTeY5ZsjfLKN6TWmdstTM497yBTv2pK7fjhGN/6/Ut5/6vumPe4b9zxUpyTgvKBE8tC86XjtFaOc+T2DuTXJhkNrQLg+tYHS0bAQO1OKkqIo5/VOfSLcxCO+ZdvxYYeMvnRt1PvSLSl6jAH36+ndKwWt/D2z+0r/MbTL+C2Y2fhGRR4Bmb6tcT9VZxT2cOr3/RXrmnYyVs6HuMtHY9RbaRfwrqQKBFTlAx+d5TaygD7v78Ro7Gh0OakjOU1eMf7bk/5eIewcLoWnglJIQi0eYnO03jpn8/5C0e2teCcmO2Yt9ygC5tao/jKDKWDEjFFyVFfP8Gh9ywvtBkAxH0sGCYhLMlPOy/K/sUFBP5hgve8PrlAHgjXsyPQkvS1UKPg4tc+U/ICBkrEFCVKtDkGF59VaDOwHWC75r+N9IiJ78YKvr3r+QuO97UHX8KhSB3GY2ULHitsSflNyVOPuqPV3PHgefz1L2fhHJu93HRsGuMsf8+C1ygFlIgpSpKGpnFG1hemgsTJuMbBNTK/Yx/ANRql4WcevrPn0nmP8zVN8dD3LqDp74ubIf3oO9fwi89fTW+4kor9grJOcI0llpKmRzBxeZjJFXB5SwlleC+AEjFFyRJ8SQC5+ey8Xa/snt34u7QZQa/BFslkR2qR7+6hCOGh+Y+9fvmT1D6TnmPdOp5+9MPvXkPD97dT8bunePYPa2cdJ3V4x4atvPpFW1npSa3hbimgQiwUJUuFL4zlqcjbh9iemqLxm4/R/W8XEauyEcezkGxHapkEvZf5+cCld2XVJl93gLsvbEaaJg2xrUgpEQ5nUke+6YEyPVKUNcEyQc3EFIp0sC18/RIkOMc06p+QGJGFU3Ist0G40caRTp5QCkhdQ6urQUajII/bIW3c4zNtCi0RvOsN2RXQYkGJmEKRJjXf30r5IQ1fn8TfHcLfvXB0faDZyYdefOeCxzmERd/zU089EnEbs6t7xnPSNKl44NCM51547fasC2ixoERMoVgE9dumqN6d/aBQrxbjpW94JKUcSuPoMFpPEt+WphM6v33GU3dsPWc6Afx0Q4mYoqQ5/EaBsaSx0GZklRbnGGyYWvA4u6oca2h2iWqh60y1zvQUVu06fW/10/edKU5rBg/V4P16JUQ1Or9Zy/4fnT+rOWyu0DasgRx2OXp4fDlN30khtepwd9KnZTxG49090xsP2stHuPKGrWo5qVAUE/XLR+h7nhM0KPdGaGgcZ983N2F0LMXoWIpw5bDWnZHebSM1Qbg29XNMW8MILVAZA0BPvjwUhkFwQyP1Dx7DGZAYv6hmynSnfP1SQ4VYKEqWygtm+oMalo4y8u1ECpD1m03U3LwdGY8VwrQZWB6Dd/1j6rmTANEaF3Gvhv9oeM5j7LXt8Pizs56Xponr9m1YQPnBTgDuvvBiVr3oWFEXN1wsaiamOC3RrxtCKy9sh+7F0uIdp+/NUQYuXmDJqqXuD1zx4ceI2osvhV3MKBFTnLYc+kjhavJnwnL3EB/YmFqnbaulDqOlOaVjf7L34kzMKlqUiClOW3wbRwttwqL58aGLab0nhXI8usBaUo3RvHARxehg7lq8FRIlYmcYI8/WMby7Ni/XGuivxPeVCsa21zEVdmHLAjf6KCHetGwbL/rSQwxcuPCSWApAW/hWdoxrfP3JFxCyS6Oo5Ff//uKUjlMidoZRs3GI2nXDeblWw5Jxjr7QSfvtQVq+pDPcVc1AXyXDYwuXmTmdGF+evmg4hEWZHkGmcIdqoTjW4Ox4sRlIyfIv74VhFz/avZlRs/AVQBbETu1LT+1OKnJCzNQJ7KrGf1K7wpU/S+y0BZs9DJ5fB+0hrH4PevTEh9VsjlJfO5lvc9NCG5vCXlKV8vHXvu9vi7rObcfOwjO0cK9L2+/EaKzHPJJab0izz8vWug6uadi5KLuKDSViipwQiTno+GPytBxfb5iOXhhb7aPsaGxGTNRkh5eha8twP+shWbEF/QUjOI3CBm2aR45CQ2VOA15vH9jA5E0tVB4qrXr32eK3veci4mompigQ8T/UUTUugfkTo6v2zb5ByztDGLd68AyGENbsWchUfxVSg8l2jbJLC1cTq+/5ZSkVLjz4fp2r9LljveZifUU/d7YupTLFlo9WbTm6fzX2wa5ERYsS5+hA1az2cnOhfGKKrGFLQfyPddTsTK2yw1x4+8NJBQyg7EiI8s4QTQ+FmHi8nrilTT8s+8THOW5pNH4kd4Gu4QZJ7+V+pCbm7Uy+vrV/Uek+9x5dTdPDqdf9kg4dq8wFG1fCHPZY4+Os/EVxz+wsRNqJ6mompsgK4ZgDHqyi8Zn8NJ7QTJu2uwLIuz3TzwVb3Iy/PkCZJ0rd/3ViHcxt5+pwvc2h13qofVpQuT+74hCPG+iR9Hs/SkND83iwQ0m+RKREGw9ihIo3CPiugfUceKY1rXPUTEyRMaGYA/uRKhofzX/nHCHl9MN/NIzvT+WMTuYpHkokHtEKge3KbpmbuvIAwRbPwgcmwd6wHL2qCs03ewfSOnCY5r+mkJeZZ+JS56GxFfRPJm98Mh9KxBQZEbc0+FsVTX/LjoCFmjyIuMX4Kh9ja3zE/Q5CTanfzFV7g1Tc40MfWbiUTbaYWmYTrUye0rPvbx1pxWVFpMHX7ruanr0NhGsWeXtqAmt1KyxvRStLHs5yeLCGgXj6gpErQraT7dtWEuisSPtctZxUZIRp6Sx5JEsCtsTD4Lka7qUVhJZIpIBAswvLLWmw3XiORTC6BjDb52+cW707iD2c32j9kfUGTaM6Wnym/6v99iChlzvxaqn556K2g5W/XLw/8WRsrxOjvAx7aragW/1eBjrKaXAURzjLz/ZcuOhzlYgpioa4V2D6JQH/iUoL0drE/x2TFtrT+zEjEbTxiQXHsnO8Q7fq+4Pse0/d9M+ROpujV3pouyuIkDMrRdz15efzpk/ekdK4t33lCqrIrfN9cqkDfUnxOPj/55krsAcWXypIiZgiI2q+5QUy87HE/Q66r3KCNneZGC1uY0cSu3XP/VtIxFQQOCFiWlxgu5Lb7++N0R2txq9HqTZmisdjEx1s723lbWsexavF8Pdn119lNtdAcw3imf3IaBRhGMTKBTds+DuaWDiQNh+YQccsv5YWFdjO1MoGKZ+YIiPC9ZmVd4lWueh+iQNpyJRSbIqFfR/pmPFz9bPQflto1iwMwAjF2fHejfzml5dPP3f30DpCtpOH96yg7SuC79/zQv7QfzbCzHK9L02AJtC8XoTDydA7L+Dd77gdh7AKXltsIF7OzmATJIkHW/mzUcoPpfaBKKGPjaIYCb1u4aXdqZg+BxMrvEys8NL3fIOFwoLcgxqOwfw56hfD8CbJ+Kr5d0U9A5J7hxNNbSe/3sr/PnQFq76f8JUt/00I498qU6vougis1a1oy9owrx7PyfiL4f7+Vdz38Nlo4Zky5O3TEBMB6r/9SErjKBFTZITTsOi9PPW4I8ttMHC+i6HzYOg8sNwLzwYqDttY+w5mYmbWaXlwdgzX6EY5b+Br9Z4gfT/t4Fu/eymOSYtVP83fslgKwZ4PVxOLF4cH6UC4noGBylnPe3s12n7Tg9nTm/JYSsQUGaFrNo7No/RckZqQ2U6NcGNx+GIywfvQvkWdV7MrSPvtwZzNuOajfJ/Be9ctLhk92xyLlCPGZroiXMMabb/smtVHcyGUiCkyxuUwidTZ885CnsMIxKnbnsbYwxqVTy1QZqaYKNKSaUJKGh4L8oMfXENEGlgFNtS0Z0uPHgezty/tsZSIKbJC3Zph+p4/d40q0+sg7ncQbnAztCn1cYUNVrUPLj4LLj4rEbx5/P9Ge1tuuxrNg5QSIzBTCKSAI9d4sTzFsWQ7FWFL6p8Mc9u/X8l3dj6/YHZsm1zKM9uXz3hO2OCYWtxGgxIxRdaIVkvi/uS7lf1bXBy5xkHf80XKsxVhgWts5gfbXn9iV9BsrESeuxq9oX7RNi8WGQ6z5JFT/GICLCeMrSyMsKZCoMnFxFsmeX77oYJcPyINHn503azntZig7jtbFzWmEjFF1jArLExf8q3Gsm6JMNNYwkio3Cuoe3rhoEyro3HOyg25QvN6Ofri2e9V2OCaLN62aOWdIaq/7+fRvqWFNiVrKBFTZA3hMbEds8VkfKWPcJ0Akd7NbXqL1ME0D7ZTMtle3LdVqNYgMO6hO1pdaFOyQnH/thUlRX3dJDH/7I9UtEoQbLYXjAebgYDAUptjFxVn2RhraorltyYJkcjhJGx0nY+D7z/xS7QNjTf85C4m/j31XMtIrZvxNaCNO7h12/lMWfntDP6d7Zdlfczi9EAqSpKYqeM4JXpCaoLaHRGilW5iVamHVggbOv4QRdjFuTQzGurZ/woPJ6uWsGHZb8M5W9paLth9xfeYuuxEMnmt7uONZ9/CxG9OCGqfpfOhd70PR2B2GIdrJErlXi8j54KIa9h53KUM2U6uO+tJbn1wZv9LLSpY/p87WWzgjRIxRdYI7qim9ejMxOuJFV6Gz5WwiI9ovMzANVqcpZb3fXQZ0jghYK4RDT0K+pP7sM9ZlfXrjWzwMdUOLuHApc/cPHEInVr9xM5wrQ6v/+ad/PbtV84aR0hJ1b4gwy8w+PD592fdzvn47vbnz4oNc45pdHz3IFaSShupokRMkTVizTGiVQ684cSuneUxiNQIFrPGkgImOhzUpyBi+mgQK0nOYj5p/+0Q1p4DaM1Ni55RzIUUgvv/46tUaIsrklgMPD3Vioxqs+Z9FYds5FRmpZyUT0yRNXz7XHj7TjTFiJUbBNoWd0tX7RHUPZlauRj7SM+irpENfD0abXeZMDgCgNma/cbEB/7RwCtSK6y45u9vptsM8OXfvyLrdmTCY31L0UKznaJD54NWnXr7u2SomZgiJ9gunaFzDNJZRnoGNIQF7mFJ1b7kFSGKhRW3THHgjX48gxLn3U+QyyZyldtcxF9k4RAzRSAq41zw1X+eMdFtfibKK/72CTqemH92s+R2Jw90rOKKmtz2IZgLX49Gy10J4beGMmvmnLaImb+vQ3vlMFqa2+WKMwsRt6naazNw8cLHanFB210xNMsGG4Rlp+fQ37ACntwNeRQ9uX0Xqw9VIqPRaZnu/ZcttH13F9aazGOwpBAceIeTW668EQCvNnMmFpcWITtO49bgrN9V/RNz52VKIei50sflL3+Spe6RjO1MhTsH1xPq8c9YShohibVrcfmnp5K2iNV8fyvH/FsInJdYNmiapKYy/w0iFMWLFILDr/akXh9MklFCtHToaBtXY+/Yu+gx0r+oxBobm/X0kfeup+Uvi78fgs0eENC/RXDwpTeii5mO8EEryO5YGR/+6nupe2q2gC3E+GovF13zLHXOqZRLZmdK1DJm9ZC0HYkaZ0m7MqXJopaTjV87UefHaG1h/wdasRqLv/28Ij9EGlzTnYAWwjWiEfdnPoOyn83Ot/pi0crKaPvenkSDjgxo+cgBftXxl+dGnfX6q3a9Gf9/+KlncUJZtTdI34c6ePjlG/BvGOX6jidzKmYTlofhwOyc2nCDxDxvNdpDT2V8jYwd++bRHpZ9YivLfygZHCon8Lf6GU1MFWcO0WrJ6Dof/Zv1BWdhrhGNiv2CpocjVGQhjc9onL95SK4RbU0ZCxjA8L+1z/v6K1ueYWTD3In2qeLrFUztriZiZ1aZdyEOheqSdjDy9ZAVAYMsOva1vz7FyuhZ9FwBQvnLzkisxiijjtR20TxDktpnEruPNc+m3yR21rWba6H/WMbjLOral2/C1AVGMHc1wvrNAJf/7OMAVIUXf3/FKl2MrHcQWGbxms2Pz6r5ny0sBD8+sJlNjbN3jo2AoPHB4axthqQtYuNv2UzlT+fINn90B0tHljGwxUDTlZAp5uA0+2g4RkOY5Zml7xz6gM6nNt2JQyQX9HFbo/1PmQmO5Tbou8TA9NmImGDb/zkf+/Pbac+Rg3+qu5wHB9bMXO5J0GMCa8+BrF0nbREL1wmqDANpJv9lWwcO0/jeFo5+swyvs/g6DStygy3FvOIkTIGQYIQELfeFsp5OJA0Nfd2qxM2R59AMLRBB8y48A7UNDcuts/Tz+/nPpjtnvFatu3CJ3C7tjK27WDbawcF/SMRleQ8Ms+clNWh3S7x6jFojuxt0whaIU2LD1nypiyNvXZbV66QtYt4XDjI8fgH1jx5vThqNYR3snHGMebSHps9vYPyzSsTOBGwpGBnzI0aT38h6WND0dzPnKUS2z4XR3JRWffZM0crKsP2pzcKOXONh/1u/c/yn9BLbfz5+UZqWJWHDCuztu1i2I/Hjc8u5HZsg+JpLuP6zd2V+DaA7Wk3QSl5TTQZDNH8xtQYgqbIon5jxmiFGX5P4//B4BU23JLr3lj3ejXncL6GPBhjsbKC+Iz+xKIrCEYkbMJT8Q2sEBPVP2nnJgRRxCxmNobndOe1NOfr2zcTLBJ4hm4r9UwTb/Hj7w/OeE61yUXnW4oM6H/3QBehk6DvUNPTKCqwUmg9nwu/3no3MoBluumTs2K+tDBD7p8T/D17QwfKvRLHGxjAPd9H4t0bsjvnPV5QOwagTHqmc8ZxxyShTI745t7k9g2LBGzxb2G4DraEGgrnrbt3/0S3c8oEvs9bp5cGwxge+ewNNf1t4GRZoMnji3N/kzK5U0PtGkEbyW7589yjf3HE5HzjrwfwalQWyGgtRtWmIvf+xGjHHL0pRuthS4P9NOU0PBWY8XL+upP7B3Ppy0kELRbISQDkXDS89ylpnor/k5R6b79/wTXpeMP/S0PQ6uO5D9+XMplSRPg/WcPKVkbXnAI5nMw/duH1gA/ZY8ln50jtNrED2v2CyHtBVv3KYgz/dwKFfnMP4dSqS/3TAlgLnj6spPzxbHCoOhfAMmwibGY+ld5q0/ylO3Y78zMIAtEAMqzu/yeAXu3X+/E//zeB5fqSuIfXZt5Q0BP9Sk73duMUgheDIaxpyXsZ7KOhDxJJfo/cyB5on+8vMnEyZalUa0mmFdVst3r65ZzeusSjLbj3pgyug54U+Wu/N7+fA9jsxWpsxO4/k9bodDj9P/Ou3sJHcGSrj229+LXG/g1hF4vaK++aeK0zYYXbGEjOXc53mrBzJbGF5DKK1Nsc+uJnGb2TXsZ4yOdo0Vus+YKCnioaW2XlwigSjF8WpPGjMG8w5o+KEJO8Chi3RQvGczjS0s9eytjL5jEoXGjrQbIzTd4mfiiuP8fezfjfnWJ8ZWs9Y3Mt9Xatp/XJC5Ib+NcolTYepd07xb7Uz80AHLnDT9NDif6dD57iQwi5oX8zlPx3EyoG/UokY4DnqwG4WqjJHEga6q2n7MxjB3O32ZQMhQQvmrjQ0wL53lXPnkifmPeY8l5NnP3LjgmPd/7lL8PWEOTlRqe4/XexjLc/Uudn7qUZubn9w+rXopiA8tEjDgcatQQbP983b56Du6Th3v3gdV9XtXvyFCoBKcgTKNw8qAZuDsv0G7uHiFjAAqQvsCh/2UHZDeg7/4hyO/WEtRz+9JWtjrvn7m3GNzh0u4R6K0PXV1ay66T18cyxR1qftu+l0WUmOkND0l9E5X3fdsY1dnU2LHn9HoIXRgfJZz5d1aommKsdy08ldzcQUczJ4oJaOZ4qzxn0yRNzKqFZ7Mm7bciNrnV72nxtkyPKQ6ff+hkffSNP3nAuWHvL1hOnogV8+fTU3+QXV0fR2XGMVTo5d7EwsHyUs+1E3ZfUujr60mtrWC3Ddvi2Dd5GcgUgZ5bVBphyeGYHP7hEb8fDTOSscqWZiijnRw6klNUtNEK1yMbLBR6zCidTE7Eeem9tmg5ZH/dPhFKscPp7nXvztYkmbK3a9giVfcybtQjQXZUdC1OwKplXltvsqP7ZTwwiBawTiZTYH3teKHpVoMXDfPXf1iDXv28Odg+tTvtapTB2pQIydEDBfj0blLfMvwTNFzcQUGSE1wcgG7/TPk0sdwOy4sbIeE+dYLLclp6PZq4ulr1rOOWXZu/m+P9GK89MVkNNC1gla/hLm8KtciVgXCbVPC8bWQveLdfzdzJn3DGCHQgi5+Jr34tRq5HL+62UDNRNTpI3lNohWuYhWuYhVphYSMNViIPXczcaEJWF4bn9PunT9p4cPVGUnVCNkx/jqjhdmZaxUELbEM3j81hYwfK7Ecks0U1DRubCgdG5tIyJLZ36jREwxJ9aSKJMd3lnPjy93MbLRwVSrwVRLEX3YU6xlthCRay/kXWuyF0s1asfo+HrWhlsQYdnU7pi9ZNWi4Pnj4wue3/5/thKaI4E7GXGp85PDF7GntzEtO7NFEX0CFcVGfd0kwSX1lHfCodd6sT2JpaAeTFTmTBXPiI1zykrMlnKFlFhD2dn9Gjzf4CPVh7MyFsBr/u3j1Ozbi6gow2yszNq48+GYMlny9xNzlMHzNZb9Zizl3lP3fP5SXv8fqVW1+N9nL8U6dkpPTAkrfzaFFgjnfAGtZmKKeZGXjtP5IaheO0J9xwiiPIb/iECPLCxIQiYeRsTGMZljf1gW6fjWPjY/85qkr1nSJi6tGQ9L2lhybnl4yyf/nCiKcOQoxmB++lBocQtfbxhfbxhvXwRhgb0z9dSnigcOEp8vqOw4FgJzOHkqkXxmL9aB7H0ZzIWaiSnmxeeK4XMlHOa2FNhhAy0+txgJ63jgqQkVBxJhAfkQL2loaBvWYO8+AHZm3/2d713NzrO+xanf8Z3xAP/wyY9RceuTM57f981zWPpHyTVf+gsXeDqp1kNUaiaH44mYKbc4vrSTEvNwFxwGhEBsWod0ZB7/tRDdH7aJDaf3O7GGR7jr3Zey8VvPzln5dcLy8MNtl6CZhd15TkvELrzrU7myQ1ECBCNOqp+Y/yNT1hPHOZGfVmCnYvudGO2tCaHIAF+f5K1HXsDnmv9Mh8NPvxng4z3XsvOX62j45SOzUgBX3ZDwM913Zxn3cRaxq85n+CwnTV+ax68mJTyzD23dCuwUqsIuBstjIDWB/pQLjw7MM1tMhtj6DH/79mbaP3pH0td/vu8CtMnCz4MKb4HitECPgjNgo0fTu1GKkZofbGXoB3D1Zz9OtDmOY9BBx6e20kBqzn7n3U/QdPfCx0nTROvqg3XtmRk8B6ZXJ9BkYHlkWj7Mk6naF+ZXR8/j9a3b07/+Fedg3J/+eemifGKKlBh5tg5r5+zWWwBaHPy9MXy9YfRIbmOCFsIu96Kv6EBzZ17yZem/b2XVO5+g41NzNMYpclwjUfx9JkjB+BrJ5BvSL3EtHn4a3+fK+fOxjTOef3h8OZHReX7HAnquyM0M81SUiClSwtcr8PXO9m1VdMXRLNKKQs8lttvAqi2DNctAy72/qdhxjURZ9qshVt84wNjqxd3u4uGn0T/gZU9oCZDIkXzs2RVooXl+vxJW/Kh/UddLF7WcVKSNkODvM3GOxxGWTUWRCNjJ2G4D4TCQ0dxHyC8W4XBir16a8+vYfjc8vY+OL/SnHGJxKtbu/XS9tI74n3Xuf2wDmjW3M1+YAjSJ2XV0kVdLDzUTUyzI6IQPPSLRo4m0Et8xC9dIFGElbolst1/LFvLsVVlZVuaSXGYxzLiGJjJunmINDdH7Uheu0flnuCt/PkFZZ/6kRYmYYkGq/+yhdkeQikNhvMMW7qHiL80DgCYSy8ozENuhE6lLCHi40Z21vhfWyCjtv5+7gKh7UEObCFL/rUcyDnVJFSViipTRTBvPsRIRsBJAWlbOgl/jZQaTrQZGzwjjyw2Ed3b6WC6o2xHPe3lwJWIKRaGwLazuHvR9R9Ens/fl0Hepn8FNDvSoxOzppeWP/dhZ6jWpr+hAdPZS83TxlFZSIqaYk6G9tbi/VUXZkRKdfdkSuedQoa2YF2maWGNj2PsPo4UyDxKWQlD7bJxo9QkXvnWwExnPTgCy9HuwJiep+c0zVOxfpJAJceKRBZSIKeZEiwlco1E0s0QDWDWBWLu80FakhDRNRDxzH9LRF/sQtqTpIYmRQn5rushdBwGww2GMEOgRATKRbmYERNKUtJ5PbeHIZzdjdCxFX7uS3x7dyu+PPsbvjz7GyDs3Z2yTCrFQKIoEa88B9LUrkbqO7V9coKhzArqvMnANa7R8Ibut2fTycuyVregHjiJqq6naF6RqH/Re7scxCUtu3gmAbRgIT6KqhT01BQL2vus78K7nRjqxYzy+TuJ9xYV4/rR90RsBaiamSMpkyE1ZV6GtyBxpaOhVi69Umm+sPQeQew+iTySaDutjIYyBiZQ2APSJMC1/7KVuO1geiXb22qzYpJeXYyxpxF69FOnQsda1Y9afaAjS/GCA+icDWOvasda1o7e1IFcvRa5pR6+ppnaHydfH2pOOffAN/8v426cQjsXPp9RMTJGU8KSb1qez3yMwr9gS/dgYsr4Gxkqnr6g0TezD3eiVFdjjE8hoFITAsFowl8wWZC0cRxwbmT62/EgP/kvPysryVC8vR3Y0Y3lmlxyfi5MFzm5fgu+xTm7ccRkfuqwr6fFN/89IvMdFomZiitMXTWDXlGOXezAaGwptTVrIaBRrYPDEzS0lZncPRv9sMRYxc+axtoX216ewdu/PyAbN68Ve3oqdhoCdinTo2G31NPzGzabPvofO+IkGwJfseDWXvu+fELszqzmmZmKK5AiJ1LXpqPxSZfoGdOUnGTklntuVS7fO2nEh42jfjKdzEVIqHE7k+uVZySiQDh1vXxhvH7zt/R/htzd+DR1B30Ala/52IOOu4ErEFElpaJig82V1LPtDiS8piwyjvW26RLX29P7pVCCjtQW7yo+wJNaufXMPICXI3EbCC5cLefaqRMZDlnEPRXjjde8BYCXZqXiilpOKMwatrKyglS2Ey4U8aUYo1y9HGAaa18ueTzTz0l9u5ZJfPk30pRcUzEYgEZaSAwHLFUrEFHNiNcaYWpqfdJV8IJwORIFuTr2qisF3bGLwkroTT2oaWkcbEy8/i6aViSYnZXqE5f++h+g1hRWyUkKJmGJO6usnCDSfPh8Ra2Q0541cT6X/o1vo/o8tiMpywi8I0PbWg+x/h4u434HUBVaNHz0q6R+q4N7htcSlTptnlL43xej8wma0c9bl1d5S5PT5hCpygvW8CQ5/UCNeXkSO8UVg1VUUJF5sanWcsguG2Pu5aixLEIy7WL+qh553mkhdY6rdy7HrovjLIgwG/dx+bAMA1RVBqs8e4tC/ODCWtubNXmNZO7aztIpJCilT3yJRjULOXKJxg7ovukqm7VpSbIm240DGdbVSQXO76fzXcyk/bxhNJP+dxS0NTYCuzdwBFkIi5Yllb8zUqb+uK6NYqlTRV6/AqsqfC0E/0IM1Mnfn9nvt3yw4hpqJKRZkcKgcISSBNs/CBxczmgAtPx/54TecS+X5Q3MKGIBDt2cJGIAmJJXuMG4jsfR1GvmpyyVcLjBKaxYGSsQUKeA84sK0NYZfFSq0KSWDEZGEY+kHiQohWVU5xDUNOzmvphuPI3+lv/X6OqwyV96uly2UiCkWpPL8IbzO4qujny7G4CR2JPdLMgDnlE04kr6IaUKyqawbgHb3CGXOhL197zsvq/adTqhgV8UZg13uLfrmIbYUPDCyiitqZqYMxS6eKpBF2UXfd3TGDrEdDmc8ppqJKdJiYrmXniv8hTZjUdhuI1FrPkvF+ObDc/fTrLjhCAO96e2ISinoD5bz19GVWAgur9mPxxGntjxI56/OypG1eeB4Mxl7amrGIxshL0rEFCmjaRLPiEXLA4GFDy5S7I3LEedvSDixc4iMx7DGJ6h8ykHcSu82k1LQM1XJM1OtOISFzxHjta1PUuYrzQq7+kQY/VDvtJBlGyViipSp9Ic58nqb0JLS3qWUeqLiq+bz5fxa9Tc+QvCpmozGuKpuNzrFH9oiohbaSR3gYxVOYpUuJjZUM/Ca1Qyf40db2ZH16yoRU6RFff0EPddYhJpKW8hstwHLWxP5lDmm/XPbCT5Qn/Z5A+EyRs0TQru2ZpDQqy/KpmkzkBOTaOHFb+BogTCiqxejdxRhSabaHEy2GUSqTsjM4CW1yM1no69ekQ2TE9fN2kiKMwYRNBg6WydaU3rb8Sdje51o/tzPxmQ8Ruvv+xkeS08wR8NeHhlexpSVKOd8UUUnfc/PnT/PmpxERBYnYiJqIfsGsMYnMI/2oB3oJtnkUQoY2ehl5KI6otdcQPSaCzL+IlEipkgbX9skrrPH6HtzFMttIPPgKM8ZeQp+tbuO0vILg5Hx9DZFJqJu7jm2lj8f25gjyzJDCoGwJOw+iH1SXTBrgRZxphummg2mmg3GXr6ewHWLn2EqEVOkjc8Vw+OMU10eYuyjAQ7eoGP6HHM+bKN4P2Zmay16ZUXOryNNE9cdT7D8rbsZ216HLVMX/ohpMBF184vu83GNaDndlLD2HUQLzG7vJiyJMO1Zj2P/EkM70J00Jarulp3oUdAW2ICM+wSRKo3gay9Cc7vTLpekcicVOWfisXqa/xpBj+S3gkSqGEcGMY8NpF9pNQMO3nwuddWLi/3SflpL2a8ezbJFM9HXr04st4/3wpRdPTNmWmmNtXIZUxvriFRq2ClEplbvi+A8OADAnUe/seDxKthVkXMqLhqkl3pa7g8VZQ9Lc2k9hqZh9vYtfHCWKN/qYbLaQ/nmwbxdMx2s3fsxmpswe3ozH+vAYbwHDuM7fwPxChfjy+eviDK62g2rl6Y8fvHO8xWnFRUXDXLk2uLd0TRba/Na8qb+24+w9CtPE74n/V3LvCBlVgRsxpBP7MR44OmsjglKxBR5pHLjMAdfV7yVYs2GSoyO1GcAmWKHQjQ9MMZwms7+ksa2aHgwu7PPgoiYZWtpOTYVpweakNSsHuHQa73IYqzhrgmkJ79hI8K08XqjNPnn3807GVsnL6lTOWNoFJFFr0JBRCzyYC1jO2sLcWlFgdGEpHbdMD1X5D4+azFYfhdGS3Ner6kLOW/dsVOZfFUALkhUgM11+lQusMbGqH/wWNbGK4hj3/eCQYrzI6zIBxNBD57R4kyj0SJx7NH8dQsXgRATR5oY8aZWzWF00kvF3T7QgugN9dgtdeiH+5DhcF4q1mYLEQzjnJLEyjKfUSqfmCLvxKIGzsniFDHb64RlbWje/PjuzCNHWXq7RVdXPTFz7vioaNxg8uF6yu/1Ub0nEepgdTQiHTrW6lbE8qV5szkbmP3HKD+UnZ6mSsQUeaeueorJjuL96Im4ibTyV3PM+8xRXH0OxDxLSv1PVbTeH6BmV/Ib3ypzIbzFu/ubS4r3k6Q4rRHnTjC+qjidCnaZOy85lc9hHhtAjyZq7ie155Y6qnep0uBzoURMURDKPFGsIvVJS0PDWt6cl1I9z6FHE7v2yfCMWil1mbKWNeWlKkdWEAKZpXQ0JWIKRRK0mAV5XFIu+cojhB6unVPIUkIT2Os70MvLs2dYjtCXtzOyITs+PCViCkUSRP9w3nf7Wr7wCJEHZ4ceDW8wGNyUekCstWYpek11Nk3LCvqKDrQNa9A2rCHWkr1Gxip3UqEoIlq+9SRjL2iZ8VzZpYPETJ0+Xw1ND6VQGlwT2B1N6JqONTSUI0vTZ/LsesI12Z83qZmYoiCM7Kyj4vDski9nOnY0ius7s2dRTsNCe94Yfc9PbUYmDQ0qC+8f0+vqCL36IkKvvohoeW7kRs3EFHlnoKuaFbdH0IqsdZqIW7DjAEgbK4/+sBlIiW/PECHbMas7uMcZJ3bJCAORGuq3BVNy9hca4XISqs3tXEnNxBR5R5ii6AQMQDp0tJXtiTZiBRQI62AnlV/yMRlyz3rNaVi4XzLIyFleojUuolWzt3ife86q8aOvW5UoNFgoTBM9x/2K1UxMoTgJaWhoXi92qLBxWdpfn6Ku7EL636hTXTE7wNXxiiEiwGTIje/2xLLR328SrtEJvGYKz58SO5SjZ3up2lVDxaEYWsxC+/vTeXwXiRi4mqerGbyoMmfXUCKmUJyE7XWid7SidR4tuJC5//w4S8SFDL7FpsKXPLey3BuB6xK7qN17a3G2BqlwR+G6hEO/DmAVBIGRcT/L/p4f209GGxyjZqeTieVezBwkFajlpCLvOBtDHLzey9TSIs31s+28ph3Nh/tPj9PyLSOlBrx1a4bnFDsAvy/C8D9uzqZ5KWH2H0M88gy1f+uh4cFBGh4cpGZXagnvqaBmYoq8U+kPMxr24x3IsbMkDfTdXchYYrfUNs2EX6xI0P76FPZH1sAcaUmp4nKYhF46zqi5meofbc2SdaljHjk6/X+t00m1sT5RijpD1ExMURD0mECLF0+9fXv1UqRpYkciRSVgz9F0w3hWxvE640SrCl9QUcZjaH97moquOGmUUkuKEjFFQai4cJDRdcVTdUHqAs5ZU9idvHmQkeKZtWYNKXHc8wT+HjMjIVMiplAcRxoarO4onSTq0wTXndsgg0m5EjGF4iRsjwOtJnt5fYrco0RMoTgFq6oMvaq4hMyemkK76fTtS9Hwl8X3/FQiplCcgnTp2Cta8lpPbCGkaVL+2yfgF7WnV6cwIUAIRrYsWfQQSsQUBSEUc6DFC23F3EhdYG9cXlR166VpUnHzo4QfqMtoHMtF0Qh07KrzGXnXxcR9ixdmJWKKvDMZcqPfU0XV3uw0isgl9oblhTZhBkZzE9GazGISyi4ZpO/dZxdF8UQpEo9MUCKmyDuRPh/1T6ZQF6tI0BvqC23CNHZtBfGqzLMJPC8eRC5rWfjAEkCJmEIxH5rAbmtAX7msKKql2s/sYc2Nkwz0V2Y81oE3VhTNsjITlIgpFAsgdYFV40d4iiM4196xF20y84zB2vVDCKczCxYVFiViirxiS4EWL83dNbOpGnHBxoSzX9NnP/KIFhVZ2aXs/F5hl5Suu5+k7kfbMCKgLTLbSyWAK/LKRMBD8wPFkzOZFppAAvKsFUlfFk/szlve5bJPbqXzl2cnrTWWDh5XDH3Vcqz9h9Ab6pF11cgDnchontKcbAtpQ+VPt6LX1jD6kpXEvemJs5qJKfJKVVmIoy8uzZnY6YjTsDj4f/2EX3Ehhz6wnLH/NtFamwpiizU8Qs2DR3FNprf7qkRMocgSelsLRktz3q5X93tPVpaU1RVBYv80StWmRCHFruuXIIzCLNLMnl6qHu6hbtskddsmUzpHiZhCkSXM+nLs2oq8Xa/sd0/kZNzy5w2Cnl8f38mYR3uQT+1CPrUrpeOViCnyTmX7OF0fhrE1pb+9fyq220Cctx5x3vqiCMlYLPu+vbFwFz+eihS47qKUDleOfUXecRoWwQM+Kjrz22E7X0jH8VmMyK3vT9qS0XE/tVVTWR/bWxVGr6vLe/Ndff1qBrckxD/VlbKaiSkKQtWmIXov9WC7CrdsKXlsi9WfzI3IlHmi7Pmvpeirk+/E5gLhcBKv9qadiqRETFEwyrcM0nOFB6nld7fSNjT6nu8/LZazcmqK8ScySwifi4bGcY68OrOUK62sDHH+BsT5G+bMDtDXr0Y4nFhb1jO6Nv3Kumo5qSgoFRcOIu8vQ9j56y4kHRq+ywcZGfczumFmlQr3sEbzg6WT12mNT9B6f4Sp8wttyWziV56H6dMJNiRm2/4l69HDFo77tk8fI85dz9A55fiWljPVsjg5UiKmKDiH3i1AGrj3u2m9P38CUlMZgMqZ1xvozp4z3m5tRAsEsSM59v3lMHbY3jRF9JoLcN2+La3zItdeSKBppqsgsERHSB3/SeNFGr3YDhYtYKCWk4oioL42EQ/U+FgUqef+I6lFLLSf1hKOOWb1c6xtGefYJ+MMXOBHZuiYly4duXFlzh382sM7sH9dl1JvynSp8IUJ1Rppp1VFK5LbIgUEmgyiV18AF24k0Jz5PEqJmKIoqK+bJPSRCY6+yJtzZ7+QkrKuEI1fdBB8cmbJZ12z8TjjuK8eZPhsL6GmzJK+pZ4Hf59tUfWTrYS25aZ8tXb9EMFXnZ+1AFgpYKrVYPgcPzILCqSWk4qiouLCQXqtetzDEi0ONTtzVzgxWuMiVju3L8758iFClkbwjhoAfMdsvP3pd67Wa2vzHqqQbY5drLHqXi/WZGpR9PlEiZii6CjfPAhAOOaguyXRsKN6l4X/aPoCMh+WU0Ma8zuUHLoNL0sIUE9PFa13uPEcS8/HZbc3QomL2PLfBtMSsKpnxxm6qCrjqq2poJaTiqLF44xTceEgFRcO0v+yOJHa7Da29faHab1DMDCQWqpQQ8sYPa+02P8Wd158d8XE/re40+oAZe/YCxl29k6VM+svoShZ6msnMT1i2tl+stM9Ewe8ZyBCx89hbCq1hiD19RM0tI9y8B81Am1eul/sR2pi/lg3ubi7OXr1BWhnr51Ow1log6Djm3uyUvE1GQ3to+z/9lIOfDO1VCCA+j8dQkjmfWQDtZxUlAzxt40yEDfw3FrB4IWSpXckloJdr4GVP4kjrORLQ9vQkIaGHkle68sRiLP0fzTGPqWha6nFK9TXTRJ/q6AMGLswIS6uH1fhnLJwjEcRlo3W1Y81MrroCYnl1jj8ukqsN10MmsQzoNHy7Wewg8n9hNbYGPqoA7tRoGVLIU6itjLAkJX6F4Y1MEjDHQbxpXWIrTtmvS7OWcfwpnJkhvs4aiamKBk0IfE44/APw9SvGCH8wTHCHxyj8ikHU0uTLzVth07fpV66rnUyvtI3986nLRnurkx5afmcPZqQ6JqNrtmY7xyh+20mxsA4cvsurJHRxbzNadzDMVr+EsMIg9QgtMTm2NvPRq+tmfOc5R/fytjO4mmya/b2IR55JjEbPeUhn9pFza7goiu6PoeaiSlKHte1g4RiDmJ3VlL7TGKWMny2j1iZwPIkNgrKANZBz2P1OCehcevMIFchJat+GiFS52bg/ESqjbZ+knJvmk78uIZ55GjG78lY0kjIZzC4yUG87MTsMFYG1FTB8Mic5674/E7GbmnI2Ia88OgOaswNWB4Hpldncqkj7SGUiClOCzzOOJMvmuLQijIAXMsmKfPMLrFccdEgcUvjUFNiNlO9E6r2nVieuYciLL0z8f+xzjKirzJxOfJTcvpkzNY6uq/SOTUc398rsfYdnPdcGQ5j/rYO4zWlsSMqn9iJBrjdbrQt6xlfkV7zEiViitOGcm8E1i88c3LoNrXrEzd4cKCeqn3Jj6vaGyR0UwXhGg3jVaUhCJDoFF6/dYTR1xTakvSwIxGcj+yiYddJTX3/d+HzlE9McUYjdbBd+pw7nN6+MNU7Q8RuSy2tp7Z2iiOf3ZxtM4uGmuoAXZ/L3fuzIxGsgcHpRyooEVOc0fgvG2TqX6aYWDF3iIWQkrqng8QfqGVwuJzB4fI5j9WExCqCVo4iEmN4rCzr41q2wDlVXI1elIgpFIB8/TAjG+avL7bkkQArbzRZ8R0rJ8nW2cQ83MWKr8WzHjc2Pu6j6b8fyeqYmVLcfwmFIk9oQhK/dpyBC/0LHiukJLI1t2EMRu8I/q7Mbk/5xE5WfT+WVtjIfNhS0PBnV1bGWgjtrDUIR2pTWiViCsVxPM445uUTHLtoYSFreHzu5rJaR5DQq1KPbE+G2dtHeXcWCkU+uoM1XwsyOplaRsJ8WLag7NePZW5TCmiDY0grtfevREyhOIngiJfanVGkEPOmMxlBE/N3yctCV5WFGH1TAPMF52XVNs+ARvXvd6Z9nr1jLys/PEjVpxzYUmSlV2WuMY8NQIrVflWIhUJxEg3NY0x++MR3e8VX/Ojh2XFiQkqqd4UY8NfjefHsXTRNk1mplTXjmhbYU4vrbGT2H4P+Y1S/wiDwyvOYetNkIvsBsGyNQDixTPS4YjiNmeIRiLiIRhxIKSieXIATKBFTKE7h5PzJiXYXzqATf3do1nFCyjkrNZhPVeJ+eh/56xyQGtI08d36GDHfZgKvmCQ47EWfMFj+20TA79EraxhrMalrHZvOvyy7tYzmXzxaSLPnRYmYQjEP+nVDjAY9TG1NhCtU74vjGpnbH/YcFRcPEnpiGa475k4PWgh/5xTOsyqJVWa/iH7VTVuJ+7ewYkcYLX7i/VTvtYj16Iz4/Nhhg7K9DpYczH5fy2yiREyhWIAKXxiuTBRkPLKymo7fOtBMSf9mN8bsCVrWsJ/ejWfzZmIV0PGnGMZ4NKslupb8Yg/2ipbpEtqBNi/DZwtMr4RhF/4+jSVfLa5wimQoEVMo0qBh6ShdbykHW1BWOUY44mCuKvzd11us3d2G2dW96Ost+UMnjT4P1sHOrNcYtMbG0HbHEIBct4yhcwWWO0+VDLOIEjGFIk2e684ETDvHkx5XN8mRr5YRCZ/LinfsRkYXXoaeitl/bFE2pspztckElKSAgQqxUChyit8dpbZqin03bsRY0lhoc05LlIgpFHmgYck4ne9aVmgzTkuUiCkUeSLcFkdcsLHQZsxCLy9n6NyFsxSKFSViCkWeaGgeY2xt9sXCWNaOfdm5iz5flPkZXzvbHxatkcSuOj8T0/KCEjGFosSxjvZhPLF/0eeb/QO0/2n2BoXlkgSXpF8uOt8oEVMoShwZj83ZASm1AWy0OTtFgXDlp3LFYlEiplCc4RhNSzj8yuRCNbZeEr28+Px4J6NETKHII+OrwWhpLrQZpxVKxBSKPFJ17hCxjvpCm3ECTefYNUvnPWR4oxOjuSlPBqWPEjGF4gxG6Drja+aP1A8128jK7NfrzxZKxLJMsddeVxSeYx+JFk/0vrQR1sJFEqWhpVwuOt+oOy6LjE15se4txrJximLC54qBrhfaDCBRX2zVlw/hmJxfCva/tYLuTxRnzJgSsSxSVRbC/ZLUeuUpFMWCNTDIsp/14x6aRw4END28cGPiQqBETKFQYB3sZOkfhml+0MYIJV9edl3rhHn6DhQKJWIKhQIAa/d+PH98HD1cfEI1H0rEFIoCsOc/G0ArDr/YqbR/9wBrvnlsVv+AVd8bAll8NceUiCkUBaC+dpKDN51VaDOSYg0NYR7uYvV3h2c8f+Cd9YtaTgqHM6c7m0rEFIoC4XCZ6KtXFNqMubFn5lNKPf1ZmOb1MvnqTUy98tzEe83B7FOJmEJRICr9YfZ8sgJx/oZCm5IaAuznnZ3eKUubGbgYjm0R7LuhluhVm7JulhIxhaKANDRM0H9peaHNSAmpQc+V3ozG6HlB9tt6KBFTKApM6IIQ1hXZn6GUOkPv2ZzScarbkUJRYGoqA0Qra8hsjlP6CMNAmibB11zE4Hkatis1H5yaiSkUipSRmkSvqU79hLiJEVx4R9NY1s7Rj1+IsaSRaLmG5ZHIFNVJiZhCUQRMdOjolRWFNmNB4mWSvn9Yk/LxcmCYyn0LH9f/4iVE6m32fqKd0bPS2wVVIqZQFAHeKwfp/qf1RV8KGkCkoTGipZHhTQuf0PCzHYu2R4mYQlEk+C8bpPPTxe/gl0WWlaRETKEoItwbxgttwoKkMxNLNcK/+5/Tiz87GSViCoUiLVKdiemVFex/R2qbALHKxedkKhFTKBRJEZEYzrHZEmG5Qa+rS2kMmYccdyViCkURoWs20asvKLQZAMiJSfxHZ8+QQk02E1csX/j8SJTyA7mXGCViCkUR4TQsjry2SMrdNNSmHe5wKiIPpXuUiJ0hBCIuwvcWUaswRVKicYM1XwsU2ox58fZpVPz18ILHCbeLiVWpidiKn48v2h4lYmcIXlcM+/njhTZDsQC2FNg79xbajARaEnmQYAQTdfkX4tBH1yV9XhhJsh0PdiOsdA1MoETsDEETMtFlR6FIAc3nY98/ze7c5QgIltySmshantmzMKlLuj954azn7WCQVd9dXJMdJWIKRRGhazZy8+JjprKGZeHrmS0P6aYdnYqQUHZkjiXmIv1nSsQUiiJCCMlUh6fQZmBHIrT86VjS19IKdp01sKDyZ1szGGA2SsQUiiLCtHTKf/Fooc3IGR23Zb93pRIxhaKIaPqPIktMTEKqEfurvj8867m+SxeYZS5ilqdETKEoIrr+T3G2cTsZqZFS96IDb58d1W9651Yp62An7X+Op22PEjGFoohwO+Poa1cW2ox5CbTbTL1q4Wob0pgtWMv/e9e85zgmIikVUTwZJWIKRRHhcpjs+VjxF0fMJoHXXcz4WxL19OX2XVTvSm9NqWrsKxSK5AyNULWzgbENs0VlokOjYkUH1sHOlIerWD7G/s+sQ5gzZ1pXv/AJ6p1T3LT+CiD9/pZKxBQKRVKs8QmqDkYY2zC72my40cZsqEAcnONkITh/8348+gkf10rvIGXL596d/OC1dwDQHa3m1qfPQ5tITZ6UiCnOaGwpsGyB56YqnJOJvJeB85zoUajdGWPgn8K4nXE0kQhEnQvL1uZ9PetoOtiLzNPJFUIgDAf7vnU2Lzh7DxvLDqMvYruxzTWK7rKQKcqTEjHFGYctBeOTiQZp3kd81D8RRMjw9OvND8anqy80f9kADMbWeAm+fGLO1C3jF9Ucu9LE4YmjGzYVvnDS47LFyDsupP7Xu7AmJ3N2DWEYxP2nSIQA25MQz9ASF36XCxmLoa/ooP+qRt58w128RNy7KPE6mfef8wD/s+2FKR2rRExxxjAwUIEIGoiYYMWvQ8efnV0x4uTyMc/9v3pPkEFPJYPrLCpaJ3A5TABGJ72Ywx6aw5JV30sIXKDNR//z5+4i6VkSoMwTzei91PxgK7meh+kN9Qyd5QBOzDBtt81HLrkn8cMl8KP6a/AO27z+M3dm99pIPnzBfcAnFzxWiZjitGd43I9zj5eWXRbevsXPkOqfDFD/JPRdWk3UnXiuvE9Ssys44zh/d4iVN889zuB5FYReNIbXmTwmyumPEbvqfJx3P7FoW7OB2dtH0yMNHH7l3B2Y3vG+2/NoUXJSFrEL7/pULu1QKLJO+O56PFcNYo+4aL03ezW6mh7KbKz67QFGQ5XEHYmfJ5dDzcah6derykL0XeKj/e6MLnPGoGZiitOWml1R4t01tEXy6HBPkeo9J2Zv8TJ/AS0pfVSwq+K0I3RfPQNHqhESvP1hXGOZ+Z9yjTAhbp24FQeOVdLx2e0FtGgeHMX3haBmYorTismQG++UZNVN2a2WYLt0bF3DCKWf27cQjY8F6PHVEjp3Cl23cfU4kPEiLGAp4J8vvq/QVsxCidhpzkBXNcZUIqnY8tvUd4xkPObgcDm6YVNTWXy14M39ZdQ8G1z4wBSRQjC5zEOkWsNyQ/2TYASzL2Q1u0wGvH7ibsmKPwUyDFA4s1AidhozeLCGpXfZuEYTN3Ws0kX3VbXUrZ5dImU+xp6swzUmsFxQdskgrsNu4j4JRShiWUcTDJ0HiMQyakBz0fiYRI+YWb3MRIeB6Utco/vFZbRuy+rwKWNdvongkhMVKsJ1GmDj75hgqre8MEYtgBKx04TJR+qJrwvh90Vw/aaSyXYNbxxcoydCCpzjUdrudnHEUUPZQR3PcHL/huUU6K89abdsj6TiUBDb0JjqrqV+3EQa0Nfsp7aIhGxwuJzWrbmNngo32vRd6qbl/iDCTj5f0gIxRHff9M/WmqWgFX+dMIDRNS4mVp/8vhICdt2ypziypCbjINZcoESshLFsjeGjlbT/waYsFMZ6VAfNj2MyRNkRPem2jXM8yrLfGmixKMJKLmJSCOLfqJz+2RFI+Jc006biYCJItOsaHxVloWSn5x3L1ghGnHTcJDCCqfvCpBBwkrY8J0rjK32MzWjUM/PGjVbZdF/lo+2u4Ky+ilrERO49iG2emKlpOw5gnzVHeR1NILWZdhSK6NUXMLXs+A/P2SOh2heiQg9zlr+nUKbNixKxEmV0wkf7N6FKRqdvJC1+YhZy8v9PRQ/PvxQSUuKcmN+xvPSOEAerq6htH0XLqOh65ni/W0nVcBQhU/dVSU0wttrL6MaE7UJC251xhATTA5Z7nvckIF5m0/MCH213TyKNxLeFiFrYT++edbgdicDjzyYdSl+/mn3vrOLkqHg00MvLc5pSdCrC4SRWoWM7JLbb5oZLHuBIpIY7t5+FS8/u0jnbKBErcgZ6qhDx2VOqjt+aCDv7DuZUEVKy8mdh+j9pzBl5njdk+p2mY1XOGd2tpYAj1zhODLgQx2cqImKiWYkvDGvfwg1l5xvrOeJ+SeCKNXj++Pjixkv38i4XwZeew8BFYFeYvOHcx/FqMdZ6+1l7aX9ebMgEJWJFRiDiwnrmRFG8joejOALFG+cUf7IKLl5cv8BSJ1prM3pu1aK792huNyObqjlVNB2TIm0B01cuQ4SjmD29aZ0Xv/I8PHv66Xt+QknPW9nFEudEWmMUGiViRUYsprPkSRP3UPa7wuSC1vuC9EXr8V92ZgpZJgiPh+FNs2d9Zpkk9pILcN6V+hZlaFUNo2sctNwUwRpOPYym9won3tXtzFjOlhgqYr8ImHqoHscPanD8oIbGX7lxjhd4eZYGwpZUHSiyulYLYBsa/Ren8f0tT3rkAcslmVya/vwi2GLT9Z7VCNfcCdsnM/LOzVhuyeSK0hUwUCJWFDinwNsXxtsXxnMsMq9TvtiwXTqBtxZ2+TH57kmkvvBHWeoatkOn61oPpj81RRKmYNnvIjQ8DlW7Bd5eLTtiJgQH/yV5J23XiEbdDxcXKBattjn02U30fWxLCscK5GmgAGo5WSAGB0/4varDxRd7kwpaxMQ2NCanPNRVTxXMDpfDJLTEha9n/jI7/Zu9hJpt0lUhzbQp6zoRTtJ7mZ9wg51xWISdpBsQABKkufgdQdspsR1zG6eXlyPT3AgpZpSI5ZmBI4k0oBW/D520o1Y6y8cZHDiCs6GO9h/XEPxoYU2ZfNMksd9XUrVvZsqRbWgE2hLFv6wF+raejGtEwxEkqauo+a8B+p/nJ9iSwTLsgg0FiQ3TKysYevU6hJUIJTkdUCKWRwYP1bD0zhNpQKWKPhlBjE1iRaOYh7twOQwK/Y68zjjj1wSYXFZG9Z4TMyfLazB4wXNHpSY6rmGN+ifj81a/aL31KKG1jbj7ptJ2iZsvOI/uFzuRWnZmQ0ZzE/2rZ1ZgnZPmxunYuLw5+XLMabAiLh18R3Vco8UbLpEqtsuBDIenlzzyaB/ln/cx8Vh9Qe2q9IepvGCQgWujhJakP83QooKmhyQNT8QWLN9jdvfgvGsb9o69aV9nZL0L2zW3gMTLJeFXXpjyeHZtBcHWhQVMKyuj+9qalMctFZSI5RhbCmx5fN1wenzxIV06nNTG3g6FEI88Q/tXn2V4Vx2WrU0/UiWdYxeirnoK0y2QukbPFY6FTziOkIkNloWyFTKl6aadOKbmXkvaTkn/Fp3YSy6Y85iUEDOvIQyDcOPcYle+bJyLqlLvI1ksqOVkjin/chnRKgeDmzSW/r3Qi67sYBwbxxwamvW8PTXF8k88CuJ4Gs7Zazj4sYTYlZeFcBqJXddwzEEw6J4+zwrrrP3aFJ3/4clKl6C4pTF6qc1Q2I1MMSVKjwj0cH6cVNbkJMIWzPetZjskljsFe4TALJsdUhGpsxl9+8VU/yj1QFyXw8QtijvFKBlKxHKMsCXevjDtfQsfK4XA8hqz6lXF/Q6ETU4K8mUdKUEmxEo+tYvlb0w8fezDWxhutqldN0x4dyXL/3XmzWUBLd84h8M3lGW80zkx5UXEtQXDB/SIwDGZEIolWyNpldfRK8qxxhcfWuI7KomVk7FzX6+v4+Br3LNfEIlUqlSxXTa13tL8klXLyWJCwORSJ+EG9/RD6hqT7c7p5y1PYb93RNRCTqQvMo1fe4Tln9hG4G9z+820vz9N+481hkbLMjGR2soA0rWwj8gzKGh5IEDLA4G064PZK1oXax4ANT969LkSZQVHOiRr1/ZwVd3s5PVSQIlYERFsdmMbEGzQpx9Tbe5Ew1JH4vm4r7AipkViWGNjizvZtmj95jN03Db3N75x/3aWf0cyGUoyu8gSwhTUb4OKw8W9dBpZa2Asa5/3GHt8gsbFpW5OI502V9fvymyQAqJErIiIls/+c8TKRFrLgmLHDgbh0R3zHiMefpr2T0cX7ewfGilDiyQ593jqUPNfLcoPh/AMFHd+aqTOxqqevxOSjEYp31daCdup8J1fXcM/r02tnr8SsSJACsHEci9SL7QlxcNiytrYUjD2VB3LfgDuQQ1hihm+87rtsOz3UdzDmYuXNDT01SsyGkMz5/92WvKwRD65J6NrnIxwORc+qEi4/rUPpnysErEcMTrpJWYurEpS1wgs9RD3LTzdEhYI6zSJ00iB4f6KhQ86iaHeStr/FESLWrT8JcCy34dwTmo4JxIPIyKzlpcqTBtr38HFDyAlK/5r/hgzzZJgL2yviMQxAgt8foRg38c60rGwoFQbqW8yKBHLEWUP+Ag/UQPziI5taASb3UTLU1svuibtgvZQ1MfyWI7atlj7iYMM76lN6fDhPbV4u2bGhAlb0nZXYPrh6808fCObyFgMf1fmt6C17yBLHi1u/14uUSKWQ9ruCaCZybegQk0egs1uIpWpCZgWB9dEYatbiEgUhkbzdj1rbIzVXzvK6DN1Cx7rHNVo+Uv+mpZITWA0NmQ0hh0M0nxf5i30znSUiOWIsS1RojXJ6zoF2ryEajWiFakJmLCh/EgMx2RhG6rKsYm0Cu5lA7Onl5U3HmV49wIzsnPzV48eAE1g11bl9BJDZxkMfGALek112uc6xzUa7jupsYeULPttcc1Es4USsRxRXzeJ6daQQsx6xFLwfz2HkFB1IFL4QFdb5rVxxcmYR3tY9YX9DPTOLRqyAFu4tteBsTSzeDFgzsD9WJXN1DKbw/+8GmHMHVqjr1tF3yUzX9diYB45OuM5Y2/37Etr8MYLH03f5hxjpREFrCL2c0jsHaNET7m5InED7UGBkUINMWFB5aEoWrR0iiTmjKoKRExjPOCh0h8mZupYtobneJOSlv8xSMT95xFNIJ2ORI7iIutzWbv20XbPBXRfNfcmUHyBAo7W7v0sefhCel54Yk4SqbMZfcfmmWlH0sYICUzvzPEaHIX5cjqZPaElWCfdK9u/dw4f+V5q5yoRyyGakImp1ElY2ytxpiBgegzKjsay3mm6lFn5szC2oXPwTdV4jxg4p2DqignKPNE5G9nmGqvGjzFVj3lsYPGDZKFAoWskihH0YvqOj5Uk7cgan2DF93vpfFML0ZoiSRcAftd3DsZnq2fsHNekUdxJLSeLCM+ojWck8fD3xWflUCoSVVZX/SRCywMB6p8I4HiwgmC0dOKfgISPS0svKDD2gnPmfd0Ympy3MsZzmF3dND5+wrcqJNw5uD4tW7LF7/rO4asPXYX8an1GoS9qJpZj4pZGYEeihlO8OcZcyTTeIRvPsUja/RPPdBq2BRgJV4BdHN3I50MrK0M01GJXeNFrqsBOzIaMkIVr2Em0do7ZkYDuFzmoat5M5eEI2l+fmnVIaHXtvGV25kTCngPNBUk7OrJ7Cat+mfnfTYlYjok8Uot/JCFM5qAL7ZTJlWtC4hmKo0fM4hYwTaCvXYm150BBLm8f7UPzLcP2zK4PVrOzNKovCLcbqzaR3G5V+6af1+IWjY9F6bvURbw8uRBJQzJ6FmiWm8p8GJsjQraTX/zoRXhfPEDbPdnxYSoRyxGjT9fh6xW44yeE6VRnviMk8R8NF8yfky72wSMFu7aMRueMuSs4IvOdUUcgTuu9Fkeu8WC5ZNISPcKeO2PDffdTVDZfwPjak17XSCxbU4j6zxd//vcX0DAQxH6qAj2SncBt5RPLMjFTZ2zKixEWaPHkHzg9evwRo2QEDIANKwt6eWvXvqJMu7KaatB8vvkPEmLB3EXNtGn/cxgjmFwUPcc0Kn6ePBxCmuas0j5jayVT112A5l6gIogt6I+ll+K1WIywjbBlVjeslIhlmfFRP/77fXgG5r7ZKg5HqNoXxN9d/H4cxcJoEyFkdP5ZhdG0BLNl4fr2wrJpeSCGr0fD16NlVm1WwMDFwOqZOZOugSDOsRO3vhbWuHXvuYu/Tor85PBFaLHsz6bVcjJL2FIwuqcGZ1BjruhFZ0DiCNqlNftSLIhVW4Yu2rAOdiYPl9B0zNbUckAhUcF3ycMJ5+nUUi8xv0AaJCrBLoKhCyupO+hLlEEC7Gf2UHbOZkZym3AwC+13NRih7PsvlYhlCSkFFfuT103XY+Dvi6NHrZIOXNU6e/IdTloyWDV+dGPFrI0PY1k70u1c9O+t7Ehiti41seiqvmPrJPVeLwRLYwMkXbK+nLRPpwp+WUDYUHEogmMyVtoCtqszo5ryZwJW2Wzfk13mwSrPvEqtsCXGVCwraU72pecytjbjYYqGrM/E9J/XEHvDKA69SHeSskw0bhB7tBr3aPIlYvWeMMIq7d+FvvcI1lRmzTsytmFFBwyPptWoVgpBpOFEEr5z3MxpBoS26zDyeCs7aeXgC0sTmEuqMKKxWRkCwuXCTvFutjz6vH0vS42si5h80zCpd/orfYJ7qigbSbKEjCbq4mcjpaTgFIEPT0RiWCvbkPrcM/1YhZPRdQkRqdkVY2Sdk2c+ceP068vvfzvtP3bkLJne3rh8+v/6SAAcBlaSuLZcELnyLCZWL/7vZMZ1emJVtDgX2T9hAR4aW4EjlJvPkdqdzBHeQRPvkFXyDXP1qSgyVtgSQJAoySOi84vP2Conz3z8Rp75+I0MvSfEvR/90ozXr1y9l3h5fmqAWzX+rCwjkyHL/QhHdlOtxIiTv/ZnVm57Pp69Z/W0fy/bKMd+DnBOSRwhE22sdH1gcFzAOo9iR7LTUEM4nHT9fPWM2FApoeMtBzK+Rtzv4Lw3nmhA8uxFvwBOxG69vftS9n1tPWXHSj+sxar2oetLE30IFhHI6tndj2/DUoKtMxfnA8cq2VO3hLXe/myZCsDPui6kek/u7gUlYlnGEZL4e6JZq+VeUKIx7FB2bvojv97Ia1c9zV31P5v12r89upG41PntXy5m+UfnqW11sBuxfvmsJWXVV3q4vGofN1T2znnqQ4eXszxHM4FCYFV40NatxN45f53+ZJg9vbhH2gieskegTRgMRvys9WbJyOMM9Vew6mjuCjIqEcsAW4pZy0XTI4jWOPAcK2ERO+4Dy2Y824uX7eXz9c8mfe255//1+q30vGb+cd77gQ24h07M2hxfHOLn7fehi+SekXtCDr7w/rfRHrUgrW2B9JF6woZ8beTYfifaWWuwd+zFffdTVC25gLF1yVOWUkIcLx9VYigRy4Ch/goqe0/EhgkJrvFENYqSZttOkJJ8VzKr0DxULODq+c2NX+PN170HgEitm3Mq+ucUMIDbxjbhHM9tcxXLY2C5dHouNxA2tN4fy1sZJenQEQ4nMh6j5gdbCX9qC5H6xYmor32Cc8p7Fj6wyFCO/QzwVEaInhT1rMXBn8Npcy7RwnH00SD6aPEHRMbLnRy52k/DJw/xXw1Pz3lcwI6w/4Nrcm5L/8Vuuq9KhC1YHknfJS6iVcn7K2Qb6dDRViyd/rnisI1Y5CIg2FnBrV3nMGXlrvt6LlAilgHhIe+8OZKlhDY6hbX/ENb+QzkJC/nrzRfQb2bejcgvHIQ+NM7ed9/Ir5fdP++x5/zthoyvNx+mz8HgJuesmU+s0mZyaX4WOcK0Z3SgKrvl0UTT4EUycaiKXx46j3gJdXJWIpYlynpM/D2FD0UoVhq//giv+tePZTyOV3Py6Dm3pnRs8y+cOavRZjt0+je7CDcUNpBZagLh8WR1zFBXeVqNOgqNErEs4ZiM4wioctLzUXHzo1z94tez8evvxZI2lizNTAYpBN0vdhdFnXph2VjHBgttRkFRjv1FEI45sB6tQjSX8A5kgbB37qVpl+Cab2wGYMXf4S21f+dCV/Yi23vMAKO2kbNqId1Xn9SQYw4mVknc417KunIc1mGDjKe/AjCiEmFBslXjNZduxy1Kp0GNmoktAk1IhA1Vz6pf36KQEhmNIqNRDlwQ5T82vZjPD2fHAT9sBbn0zg/zkbe9F9do9nclY5XHcxQXWG3pEYEeK15/admvHsUzkPzzezhQW1LLSTUTWwSaZhOukzjHC23J6YE1NsYj129k+b9unn7ur5d9kxbDP+95H+3fxB92nw2A023y0MX/yxcGL6WhdYxQYy1lXdmfTQyd7cDyLLyM9HeDty8PO9W6QK+qwhpL5DzKzWcnnV3NOm39asw5glr3PLWUy160H71EZmMlK2KDB2qhMkZ9Xf4bf8YtnYrC9Ms4bbH2HGDFm0/8/LL3foJQs2Tf278z47h133kv+vEwvMbHw6w43vnHaGzg3//0Qp4cagHg2BbJ8Fk+2v8UyppzP9DmJV6+8FjOCY2ynvwIgDQ0aKyF4yLWe7kPaSwsssPnVxOrzI9P79xVR+jesCJnDV1KVsQcjSGczuL4pijrNYuy9nspU3/jI2huN1f87V0znm+7/3GkOfvvbg2P8Mx/nwdvH0mcv2IEWwoOeWtY8avM/VKhJR6GzhVY7hQaH0fAPZy/gGfb70bbsAbRM3fOY/c7VtL838MYHUvpfk0Tscq538fGTZ04FhtsloQravZzY9NKanZmbcgZlKyIVZUVTx6cHrGLu91aiWJHIjjvfmLGc3P9lqVp4v/tE4x7LkS8fghI+C61+ghS1zJOBfIMRvH1eplcXnx/Z6kLpN+JWNmGNEj8kk5xaUXqbTSXC7vMQ6jJntEh/LkGI5UrRnnV0h349Qh6lsuvSD2xq5uL+0R5prOA5dKQWWjbpcgQ20KPzrxJaioDHHx95tHzgRY3k8sKH1IxH1IXtN4bQEsS7Co12P+f57D/rYmuRivPOsqHr7yT97zwXmyvhTQklZ4IFXo46wIGcOVLtzO5LLvxbM+hRCwLTLUYxKqyW98pn4i4hQyXZrpUrpFCMLXUS7hGWzixWoK3T8M9XLjZWqjJg9TmuL5IPGyvRa074Z9yC5M3XvQoTSuHeOWSZ3Jm1/1/Oo+KQ6qeWNEQOljBqV36As0GUhczKiyUClogijU8UmgzihNNMHARzGrqmAQhYcnfgwV1LcT8c3fbeo7yhgAXVXRO/9zgmOT61u05tix3KBFbBOUHk0zXBYRrdNxDBTAoQ2y/C7225rQVMldjiKFz/dQ9VfzJ7ZlSuT+II+RBCgjV6diuRKu3fO1Ensr9w2t45lAruUwpVyK2CKaeH6b8wdys7wuBFo5jnwadjLSz1jDy6hCntlOs8IUJvMjm0KUOmn/pTGu2nE7zruYHimODx9eTcA14+zXQBbaucfRFzpR2VrPNQMjPsp9LIHflkJSILQKPNwrMFjEpyMpOWN6R8kR3Hk1HaCfuXL2tBTkxid22BJ7dlzS8oRjQa2sY+H82VXpyv4vfHcXvjhLz1+IaTn2X7Mi1nsQ6MQUcweL63WimDSZoWOgRF5Yrg4KJadIdreZQoBb//ytDM3ObU6xELIvocUmo0YWvt7Sc5FaFB315O3JgGLmiDek6EfJtAtQnWk+LjavhqV2FMTIFUmkTKN88jPxCGSLF8uGnSxvV1nuC9FzpI1qd2y/YJ6faODRRi/Y/tbhGomg5rqYLSsQWhaHZhJoE3r4T39DucYm/u3hi19LFqi2D2rL5DzolxaVUGdzkofGxhWubTS31Ik+T/XshJUsejnL4Op2OqtGFT0iTrkgNv3t6E5VPOqnfHiCXy8dTOU3+RPnFaVjEV5bWbCsbSEPDbm9Cr6kutCmzsKcCRO6sT+3Yy8cXPGZiuZfhcwXSSG0pWX5AQ4sVtxtBi1m4jxm8sDb95iLzMWW5ueeXF7Pq+7HjApY5+9+W+laAmoktkvKyEBOrXFTsT6w3ohWC+dOVTw+kS8duX4LeWIc8dCRr7dwyRUajNG6dZPzq7IwXrtOwXKmLUiL1rMhFzLTx9mffuR+VBk1/z0y84n4HL/jqw9M/f7/yCeDjKZ2rRGyROA0Ly2cDCf+RFDC6zocjKHPWJLRYkA4dy6EjNqyY5SfWDvUWbrn59F7sWy5Au37+OBch5IIbMPXbw8QqPcQq5hcmf7dG3VMRtFjp1pbbOr6M/s/NbJy7+QuPscQ5e8faQvDTQxcxeaAKx4RG4+NxkBInqdU0sx06U0td/PDzX5t+7u2f+Qhf+8y3eZ775IVh6lMCJWJZxDaSF5k7XZHGbG+EtboVfbeFNZn/6iLoOpopmQq7KPPM7ZPxOuMc/CcP7TcbOCaT33xa3Jq3w5uwQQ8JjJBEjxTPrmS4wY17MJry7quFYO9IPXWndIR69OMXUP9/O6l3TbHSk6gcu21yKfvH6qn9gps6ubgv6q//7EbWOz2cvLv/+Be+QyaeLSViiqxjrWuHR3cseFy20dqa0eOgPVYBl89fsrm+dpLOV1dTs82X9HVHWGI75hACCd5ejSWPZMf/kynRKhdjqxOVcTe9/lm2/2YjSx6ebZvt0JlYOfO5gOWm9gtuTo3ydwTijH20hf3n+Lj/RYkvpIbveqiYjM06Nh20HORlKhHLAKMiRrTKi2us8AGOxYbR3ITZ25fXa1oHDuM/cBj3C87jyNll1FZNzXt8Q9sotCV/7dixSrSJxO1hhAT1T8yclnmOFU/0/8QyB+969+3TPze/eZxtD58767h4ucE/v/SOGc+5tDjdV3tZekfy91P3dBCefm55UZyNcNTuZAbUVAaIVc0UMNMtiFbnp+dgMWM1VqG53eirV6BXnpppmluMv2zHHslOQr4wBctuGcP7+8dmPIrZiV9hhJLu7jkmTb5x18ydD7cwOesF+/NlWsosu/cdKR+rRCxD3GvGiVadcG/bBgSWGMQWamV9miMdOnLtcqwqL8Kd32asw/+4mfbbTCaCi08Nq6qdYtkfoqz+aif2jtkhCdqergwszB6RWjfnv2Vm9Qm3MHn3lr9S8eVejr7ohINci1tU7Ctc9G4q5apee+hKLv7EDSz7SerjquVkhnidcSZOmXhJHaQhclYErlQ4OfI/n9T9aBua10vH4zD8ywa0FNOGAIb21rLyU4mS1zIWw5zj71cspYtcI1G6PrGKB649a8ZSsUyPcGnVQbZXrcQ2tEQKEiAsGDV92AgCZuKDOxT2k4+v3PNvfIq1zuSF/S9/57sxwhbCtKkw09s0UDOxLFBx8SDhhpnfMlPNBrb7DNqqnA+XE7T8/S6kadL93g3gdDB09NR08LkZ7KzB26dNd2KarxO65k++IZBvhJRoUQvXqOB3fecwas6060NX3cnwWSeEo2ZXkFt/djl/+NFl7HzfBna+bwPOT+dnue/X594xNiIWesScFtt0UCKWJXwXDc96LlrpUBVfAXNJFUZrE3pD/YyHcOXOd9j8xUewhkdY+2+HGNlZt+DxthS03CNp+vIjKY1vrZpjR6BAtDwQwPnpCraNLV3w2Ka/B1JKuyoV1HIySwghGV8rqdxzQrRCdRqeATLZkT5tMJfMnhHpExXYBzpzWhnDGh5h1TePMralhf4r7MSOZBI0Iem7PsbyPy48ptHagqmpL6f5kEIw8C8xDP1EEPBLy3YA2f/iUiKWJTQhcbUGYM8CSdSKaawKD5ph5Ly8j3m0h7Jbeqjc3sHef6+ivjazQFy7pjxLlp2edH9U8rpV2/n32mfRxcmLveQCtuqm99AeXXyWixKxbCNSqmSsOI7csAK275rX/5QtrIOdyFjN3LZYC8+u9JXLsNzFedvs/0cn762dHS5x2Tsf56mjm3JeOr37xX5uecdXWWaAX3Mzn7cqYEe4YOu7qb/JQ/tYGGEv/u9fnH+NEqXcG2Fwo4+VN4cJNntwj8Qz+uOcCSRLXcolxogDe4mYtWNp2RprPj3CnHNCITDa2zBrijPNP+534KsM407Stfue311Iy2ju83ltp+Qs59zhNI9GLEZsH3+ZWMez799IKyBk5sKqRCyLROMGnr7ELlypFUY8U1j2L1vp+n+bqTp3ZpL42N5qgm/UaP1/3UnP02uqMRvyG7SbDkevdPLB1fclfe09/3A7v9l1FZ5jhak4cn9Y5+ahLez51noqDibEVGTRUaxELIsEQy46/nL67PrkA2Nwcs5YrFzR8dknGXzHJgKtUH1OQsxWf60772lSpzuDVpAtD70P5y4vrfcHqCA3s0EVYqEoKNLlgDyHocholLrvbGXljd2MPlNH7LY67JH5q53aE1Poo8WTL3kq9dttbjl6XqHNmEGfabD8f2xa78/tF7sSsSxS5g/T+YriCIIsFayKwnWNMnt6WfHVgzT89JkFizvKeAwRLc4EaAD/0TADo8l3TW+85Rpcw8Vre6ao5WQWceg2lWcN0x2po/W+UFEnCRcT2tlrsZ/eXZBrW0Ml2Cg0CbZDRzeSb0u4h1lUJHy6LL0zzJX3v4Pqzx2h+39X4u+Noc+9VZI11Ewsy2hCUnHRIL3P92I7VNpRShw6WmgLSp6ua9y8b/3fZj2/I9CCEc6Pz1FYNnrYZOJjzVQcDKGH81MsUolYjii7dJC+SzxIXf2KF0Krmzt2S5EZDz5wFtV7iteXlw3UHZZDyi4dRBoqPWUhzM4jhTZhQTSfD7us9PydDecMEGhLXjnidEGJWI45eL2j0CYosoCMRovasT8X17duJ1R7et/myrGfY+qWjnHgzdWs/JkKfp2LQjr2U0WaJtahI4iu437Oc1Yj9cLMsqUmQAikIVj55T1oSC5wzB2DJXWyU9vOllCEie9KxHJMJG6w4ubi6M1YrEiHjnA4kfEin+nYFtJOVGUQT+1BnL0amefNG9ProOvtNh/Y9AAAegqR72+74Q5u/urVeIctPP2JPMVU0r1E9EQFCunQ0PZ0Ya/vWLzxOeL0nmcWCWdydddUkLpArF5WaDPSQpomYn/yFKVc0v88Fx/a9Bd0ZEoCBgmhe+tH7uCiz2wjsNSLdqh3hkCdjBaKoU+E0UeDyKd2TT+MgXFESyP6RBgtUFxfNmomplAsEhlL3PCFDNhNhzbXKLdfH8T/mzF0TSD8PsyGStAEWsREG5vCHhrBCs1emppHToTBaG43RkMddqUf21N4n6+aieUYl2HRfVVxVj5QZIaMRhFj+W0SXLPL4ns/uYYHRlZlNI41Mop55Cj6oV70g71w6CjmkaPYSQTsVOxIJCFqh3vmnNHlEyViOUbXbDznjSghU2QFb1+YcL3k7IrerIxnjYxiDY9gT83fozMZWnUlWlcfwiqsu0SJWB4wdBvLo/xi86KRaCby3EMxJx1/DHNv/5pCm4HZ3YM1NlZoM5RPLB+MjvtpeSg/KRiliu11woXrp3/W9x7BGp8ooEXFi2baWLIIQh2Ob1hpoRhWWeEaRquZWB6orZqi5wo1u0gHa81S9NoiTkcSAr2uDukvrWh4jyuGsaQxq2Nau/ejj+W+cuxcKBHLE7IxysSK0vrAFxq7owmjsaHQZiRF6DrW8iVYtYVpDBO4v4GBePoNSxr8AcYvbc+ukEmJPFq4gpJKxPJEXfUUIy+NsP9tbuL+wm9LlwJSF1gtdUUnZPrKZWirlxfUhqa/B7jr25dgkfqysj9WQddf2olUCkYvbyf8ygsRjuz0/rbDYYze+QtL5grlE8sjNZUBqATbVQWqinVKSEMDd+H8Laeir+jAKpJmIdW700tli9oGnoGEHytWJoiV6fgcRnYyJaTE7OnFMPS89yJQM7ECEHzPRCL/TZESZmMlet3CXbxzjqaDs7hm0bsCzRmdP/SGs9F8WarOISXE4nmPHVMiVgCEUOEWpYheU53YRS0ShGWz94sbUj7+oWOzl8BSh/GXb8yaTWZvH/KpXXkVMiViBWLgotKrTXWmYw0NoU2VZjL/d/ddgnVbbaHNyAnKJ1YANCHRrxihx11DywPKOZYKsqEGMTmJjEYLbUpJ8dPOixg5VE3Ffi0vXdafQ+vuRzgcmO1zb8roYyGkw8D2J2a38XInwxsS/6/ZHU/5WkrECoTTsLAuGqPXrqL5r0rIFsL2O9HWLkfu2Ad24fP1SoHf9Z1D7P5aqoIS5ql4EfcK7EvPRXvoqaxd2zreAk+XEqvjRDiHvrsLaSYCv+24CZpArFuB5XfSe6kD059oaFLRmfoiUS0nC4jHGSfuV/6xVLHdBuLcwqXbGC3NWFXFFevnORbhBz+4Ztbzj010MP77Zozgwp8vqUOswpEIt8hyD1BrYBAe3zX9sCYnsUMh7FAIGY8ho1Hk07s58lI35kn3gkwjNlyJWIGxPJJgs4dgs0ftWKaCVsCPbBE2fRFSoiWJkLClQDNT/4IMNOkMvf08xKZ12d8Jtq0Tj2RIOUu0+p+X+r2glpMFpnbdMOa6xP8H7q7HOSWp3n16d6fJBClAr6rKe+KxcLmQRRSvdjLuMZvbBzZwTcPOjMcaOq8cziun4eFqsG3E+BRm/7EsWDk34rz1SG3xKxIlYkWE56pBAhEXg54K6rcrP1lSNIFsa4Q8ipjR3oZ0OYtuKfkc5YdDjN7UxjfXtnHlC59irbc/4zEHnlcNgGuiBl9vI46dnTlLyO9+SQVSX3xzXyViRYbfHWVwlU399kJbUrxIp4HR0ozZk52aWvMiBGZjZe6vkyFV+4JU7YO/TmzivnKJFhP4UixfPR/RCkG0woN7yRrK//QMdqT4QkyUiClKDqkLpNed8+voa1die51ZkIL8IIXA3ysxR2C+3cjFEKnSMK87F0fIxvfbx7I6dqYUn6dSoUgFIXJbPFHTkQ49792MMiHQ5sHMobabHgjXaIRfeSFaWRnCyHwOpJWVZaxCSsQUJYlV5UVf1paVGykZxpIGpKu48iQXwojYiMW7llImWK8z+IYNaCszb982+A8biFZnZrQSMUXJYtWWJb7Jc4DZ24feM5RoGFsieAYiVO0N50XIAMJtFWjezDY7qndH0MOZhRYpEStCjIYQIxtUbmWhMfuPoXfmNrwg2xhP7s+biE0udSAyrIChPfQURlCJ2GlHdXmIcH1+Al9F1MI4MpiXa53M+Eof3Vf56b7Kj9Q1tHAc7dlD6CPphZbIpUs4/N+bOfSVi3NipzU8nJNxc0Xgqo1pRbsXAx03HUGYi/+8KxErUtybhxldm/vZmHTpmK35q9UlhcA2NEwvxCptYhU2R672wL5O7GAQ62An+kR4ug2YPhnB6BmZczzT74SWMNVrRjj05YuzVqn0OYReQopgS0yPIB89RIQNmgkjV6/I+Hdu9vSy6r/2o8UXZ7gSsSLFodvIfP118pjuZJY5OPxqN+Orj/uaBJg+SfdHNiUag0iJtecActuzaKEYIhJDRmMIc/YaKV7u5OCbHdRUBtCEpHbdMF3/dj56VVX2DD6n8K3RUkU/3Ef5Lx5Fy0Njraq9Yap/tJXKn27NSmVYa3iEld9b3NJdiVgRE2gTWO7TJ5RPCsFUswMEnFoaPlJn0/vm1RjNTdPP2Tv2Yh7uwhoaQu8ZmiVkE+0OXFUzgy8rLxjkyA1r0Wuqc/U2FDlCBEJ4+9KXJCViRUzlBYPEKk4fEUPA6Ma5d/sCbTahjcnLLZvHBtCODMxYWtbuCBIbmL07VnbpIF3vXZPxzlkpoU9FkYHSzrk1jw3Q+Hh6fQNAiVhJcOi1Z87NOB/W0FCiGUXXwILHlm8e5OB/nJ3xNbVDeUhtygIiEJpOCar7W2ntqD6H0dxE3xZP2ucpEStyBt8YpvmvM5dRMss1n/LF0RdlZ6PCPDZwQsjmCeNa8dOxjOtjWePjGZ1fCOwjvZRiGwdrYJC6Z+JpZ0wpEStyKv1hht46s7vyodd5SrJ3ZTY3KsxjiaXlqp+FGOhO7v8a/ILNgR9vQq/MoIWYlPDoDvQDPdM7pkWJpk0LtozHqL/tUFaGtZ2CaFXiEas88YUwttaDvnpFVq7xHNI0cd2xjfon0jvvNHK4nL5E+n3ACV/BilsK1zI+E9ruDnLotekvF+bC7OmFnl5WbYOh21bjNGYW3XPoNvX1Exz8l3V0fGprRteyRkbRDQNqKhM/l+c+AT0dzIYKDPN4ZQ8pIRrFNSmJli9+Jmp6BLUv6+H+dbcBEJcWa3/xfioOJOq6mTU+NMOYLjedNdRM7PSj7HAJxSqdxlgDg1i792Pt3o9xbBx9tLgc6WZzNUZbCwDW+ARVD3ZSvS+CI5SeKoxdEiX84imWvOLItIABOITOg9d/ifCLpwi/eIqej1hoy9uz+RYWhZqJlQDWpROw9TQQMgl1x+ukBZs0Qk2zY7+GNzpo25l+rTD3L6qw35K/6HqzqzuRt1mdXhJ01zU+Kg5B1d7cCKC5pAqO9oFtJXZ0jw1Q097G0GXNVO+cTFRuXYDvP+8mXuhJXkq6xfCze8vN0z+/qO5taPuyZv6iUDMxRd4QUlJxKETFoRANT0RwD87++IWabDrfvpTef9nC4Pu3pDx25X0H5nzNsWqS/d+5EPm8cxZj9pzYgQBGf3oVZuufsvH3pd6OLBuYXd3U3nGQUIuP+kezVxF35c3vwXgmO763k6m69wDe/tSlSc3EFAVBD5s0PRQCIeh8uRtpnFjyPFeaxZwSidr2cXP+Nm1CYHc0IX/lx7xuBMcppY7LPFHKlkaJVlfjFmLO/ovC4URbsRQxPoW07USnnvmQErO7B91hYNWmVk3D25d+HFS6iHPXILfvmvGcNTSE944JbDNOnXM9Q5sS9tpOQahB8uBbvzR9bL3uJZX5jf+IwJ6ayqrtkIjeT9b8ZC6UiJUAwVEPkHlqR7GhHY/Ad0wJbCfYDtAjCUe06beJ+yUHvnAu1c8Kam95BjuUfENDO3stti6o3B9k+M81BK6axO+e3WQ3+p5RfPuWYe2fOXsQLhdC1xGGgVXhgYrE5oMWCGIHF1j2Ca2wHZiSMYc9z6UHacEoeqwMywl//MR/02b4AX9al3g6GsU1kadyGQugRCwPBKNOAiNeGprG0z53sLOGlb84vbtet90TIF7uJNjooHJ/oorFwIV+ptptEBBsFtS1t8Du/QuOVftMkAFXBVOXTVDmSfzexgMeYhEHMqZRE54dCKotX5p0t1GrqlxQxPRyP9JbXF2QpAC9smLOxh7WngPUOHQiTWXEFxk18qq7P8Cqmx/NwMrsoUQsD1iWhggtzjHfco9EWMXxjZdLHJMxKidPzDbrtwXRYl6CzdCwLYY8MrejXzs2gt3eMP1zw+MBBs0KQi8eI/50FbEai8aHBUbEBkfqH3mzpQZD1zCPHJ3zGGnZYBfZ30cT2Mtb0I8YWMPJK4DYO/YyeM0WKlJM/l/117cij5zIHGl5vHjesxKxPFDujVC+ovi6xBQzQkqqDsSIVrlwTsRgeStiXycyOntWah4bgLb6GdU46p8MMDFZQdmRMKFGJ/6jiaWoWV8OnXP7xWaN3VAJ84iY5vNierNb/icbSIeOvbQRXUqskdFZr3d/Zgu/e/uXqdUXzqJY8eDbWP3RYznvP7lYimwxr0hGqaYZZYoeMlnyaEL8ba8TNqxIqzlIxcEQWtzCf3R+Z7p9oAsRT75xMF/6jubzYbXkrxZbukiHjnDPXiYf++ct3P3O/2atM7WcXMdeb94FrPmmPSkfq0SsyAm/e5yej1qYvtJLM8oUISV6+EQ0uHToaM7kvwfxVOrBSsI5c+Yk4zHkk7uTC9lT89xMmoY0ivwWOikd6TmkQWKXdgECdoS/RcAoQIJIOh3ei/wvoNA1m3JvhMNvODNnY6din7USvbwc7dQZhkzDR3PWqtnPSQk7TsSaaREzUd6mhBqFJMNsrkavmBnguuQrj3DpI+9Z8Nz/O7iZ/7fsHJq+/EiuzMsKSsQUpYUmsNa1w6p2tJOaVOgN9Vm9jOgfxtq1b/74tBJAn4oiI+nvbo9ZIW67PTd9C7KNcuyXCJ7KCIPnlVO/Pb1GGqcrtteJtrwVPZS4Qc0Ug03nQ5pxjGPjSK8bOTGZ8XjFgBifworM3FQKvuYiPnHWH+c9r88StH86s6T5fKFmYiVCuTdCoLW0lzbZxvY6sWrLUo6WXxApMbt7sQ90TRcYnPf6i0g7KjTWFZv4xBd/xjsrimunUXO7GX375kWdq2ZiJUT5+hEG+mppeFzNxjLi6Xk2AWwLmeoS8njaEUf7ABCb1haFo18Kge1O7OLqPs+MBsNTDU5e7pvbUz9hh3n1W9+Pa0c3MJRrU6exIxFqf/kUi4k+UyJWQjh0m3A5hBvduAejiBJ3OhcKaWYxAVtKkNaJ/xeQ0BIP7tEYY6vcPPF/vzPHUQ8lfbbbDHBHYDU/+8y1+O9/jEJ4AlOZ/SZDiViJUb5lkNgW0L9RmQgCVZxRBNq8jK47MdvTI1C9x2ToXIPXveqv/HTr83j62q8C6RWffMveN+F6cRd+HsuyxblHiVgJMrKjDud5guYH4ogCf/srEugN9dg5SgTf/xY3ekVi9njp8l38uO3EbKozHuB9h1/H31bfAcD/ffku0hWwp6NRpm5dgouubJmcV5SIlSBmjYl3TQAeKL50lzOW2iqknptYvrJDBo9++Ft4tdl/7w6HnzuOC1g6LLvnndT9JTGeM2BT+7vS2IlMhhKxEqShObEjdvgDLkS3l2V/KK4yyWcaRmsLpi93XyiNjwSJfzh7XqqNj/0Daz7WNWdy+Hzo61ZhpVBNJJ8UfitFsWhqKwOYlRa26zQoXV3CmL39aKH8VmtdLJa0+fW5P+DYdUmyFhZAGEaiZNGFG+HCjRiNDQuflAeUiJU4DW2j9FyevQ5CivQx2lux/bmZiY2v8jF4vg8H2fmi2h6zuP6bH6PuO+ktHzWvF85Zc/wHAZrAbG8oii7rajl5GhBpMInUuXEPqXI/pxsrb9jDze0PAtkRyUY9SqQmvc0grawMlrcmjYHT6mqwjxS2haCaiZ0GNLSPMtWslpSFwh4aQYtkufficZ75wzqeTlJDbbHcG1xB09+zZ6u5pAp9RQdGa0vWxkwXNRNTKDLEnppCj1vgzv7t1PS3AF3vruEcV2pZGqtueg++oycVh3xNN3ev/fP0z38dX4Xrjm1p2WBPTaHHzDnfn1VbhrAkWoUfMTCCNZS/SH9QInbaEHvxJMEhP77e3HfTKWW0XZ3YOYits/YcTHQZcmR/RvyND7yB87/3NVqM+Zt5LP/VDSz/c3hGOXNzbwOXu98NgGZK3E92pn19o70N0z9/HwGpC6TfiTGW/7p3ajl5miC2VtD/qhjB5oST33IbmN4zr5Diglg5SqixLeSTu3MytHM8ypve8+EFjzPCYlY/BiMUxzUaxTUaxTkSTi+sQgiMlmbMxsoZpb+LDSVipwm+Kwapq54i9NZxRjb46LnCTfdLnMTLEw7hsdUL11JXZIiU6BO5mQlrUZvXd76A13e+gLtC+emuZDQtwWypycu1MkGJ2GmG07AwXj1E5QWD1GwYovtFDkyvg/ArJxg8P73egqcjWkNua+Jb+w6jj2S/yogjEGfsoy2MfbSFf939yqyPPwtNx2ytzf11soASsdOc2vVDHH6tjscZZ3xjaQRk5pRFVDlNC9vC7uxGP9CDPpWba+l/qGbdd95LZzx1sdQ7j6Ed7suJPYVGOfbPABraEy27qpZM0vOCGlr+cubWI7PzULFV83oRbjcyFgeyv/Sr3h2keje8cf/HkDoMnSs4+Ma5Su8ksMcnkra7mwtt46pF1fayllSj1VUidx2c7jiea4SUqW3VXHjXp3JtiyIP2FIQv7OO+ifOUCGzJWzbmbfaX/r61VhlufVhSU0gHRoibietMafvO5py9yB91XKsSm/Gjnzt2UPI6PFGK4vsU3Cv/ZuUjlMzsTMMTUhk8W405RwtEl/UDGOxWLv2IS7YmLMKFwDClojo3EIh3K5E27Y5hPvkyq84jKzsRNoblwOJRiXWrtTb6S0GJWJnGEMjZdQPF08L+rxzsDuvFVj12hqsJJogheDwaz3Ik7zSLffbuIezmzqmBWLgcSN0HWkmidQXAnt9R1aveTLSoWM0NmCPTyy6cutCKBE7wzCOuCnvVKV7Ck3XB2Hf829EFydU7LXnX8nYZ5ZiZKEihohb6L3D2FMBzODcf29jaSu5SZhKYLsNRE0ljE/k7Bpqd1KRP2yJfrC3YJc3ekaww/nNaLCGRxCnTPx6Pm7x5KXfnSFgALcuv4+LvpJeStBciLiFeWwAex4BA7Bqy+d9PRvYbgPhyV2lFSViivyhCez2JQW7vIxE8rqUFA4nmtuNdqAbgO6X+PnSr77HYxf9EL/mTnrOx2sfzfy6lsTeeWDhA/OEdOgIV+6KRioRO8OwXImUpEJRDC3Nco1eXo52zjrkXfX8+dAjfG/H7Ux2eIk0mpzldM8pYAB3h5ozvr6ImSntCOqrluft72G2N6DX5ib6X/nEzjBq1w8x3F1Pw7YzK8RCi5jIaO7jlvTycvZ9dh2HXve/z12ZFsPP1q/877znPcd3//m1OMksSNZ+NrXy0Wt/2cn2T5+HazTHAcDHsVY0I8Ynkm8wZMDp/7WomMXkCptYZX7y74oFbWwKe2oq59eR7U0nCdj89JsBXrTnZQC85cjzWfHA29Ej+en4OP7mzbyoYhc9b8ylWz8/KBEjEQAavru+0GbkjfqVw0QrVBHFQnPUchH72hLWfu+9HPraOpZ/00LPUXHF55CbzyZw1zI+8emf8xJvlD2X/4BjnyztdDS1nDxO/fYQw2Y9rmsGC21Kzpl6qJ6mPlV3rBhwD0douyt74+kHerCS+cOE4OqdY6x03cI13hPxWg6h8+/rbue74lWJw0qwj+kZPxMLxxx4vlOFZtrUPRkk+MDiZmTBqDMxo4sVfw0v7/OGmWx3q3pjBaQzHuBwLPuzfxmeI6BUaPxjxf4ZAvYcr/SNc8uvv8Mtv/4OnS/3IXNZO+zctVkf8owXMffvKqejpIWUOCclU+H0/EVDo2XUfdvDyIEafL+qYGyq8B1g5kPXbMQbhhj7UAApzowcJOkwEEbuFx4iFOWHE43zHvPbQDlv/eBH+PFbX5bVa2sRE+z0szF0oVGle6nSvex/23eYXJa7mK5cpLyd0SI20F+Ja3Lm1Lv2mSDOByoY3VHH6I46hvbNX1NpoLeKllscOAJxVvwqRFlXiIo7fYyMq9pdxYRVW4be1gJabn2B1sFOvv/5V857zH/84E14BrKfgqNNhubc+Ru84SIc4vT0g57RIubf68RzbPaHqf6JAB1/CNLxhyDtf4ozumPuQnrluxyzWqVV7Q0i++eOBSoWDN2m9/Izp+KrWV+OvnxpIhk6h1Q/NcoLd788p9dIxnzLwM98+KfFIWKaSKkzUqoVLOAMFrGBrmpqn114V8YIxSk/lP74TX+zi342ZtmCykNnVjK4VeNHX7Mit9fYvZ/uJzIPWk0X6XODnplQddz9Tvy9uY2ns2uym+p0xoqYHtRxjqcW5Fe1J4z365UMHpodcSwvH2OyY7YPzDMQoe2HOq4bq7Hs4vw1O3SbvhflJy6pmLD9uZ8lr/zibq7Z8nK+NLqcgB2Z8SBHG4C2x4FIImKjf17FNd75E7BDdow1f38zK35io4dzGOZhS+Sug1kd8owMsYhbGkYo9SWFZtpokzFW/EJw4K3VNLSNTr/mdcaRbx4m/vVKHJMzv8GMYBwjGMf+YRUjbwxSnmRnqNDo3tIPdkwXqQu0s9cidx3IevT4c1jjEzA+wX0by7mPzTNea107jFWefSHVD/VjhWZ3424tH5t3Kfmh/vPZ/f71tAFC5vhLTROI9SuQT2evM1RxThFyzNhIGUvvTD/tRkjJypuixK3Zv7bxZcnDFaQmiFRqyJ25rxagSB3b40Brb839haSc9RBToUSF2axfK33XwIQdZvf71yOkLMkYMThDZ2KZIKQk/Ggtk+WSmo0nOh0bLxump6oOIcHfY1NxMPGNKDXBxGqoPuv0D6ItNaTXhVZWlpd0pJMxj/YgaiuQrsI62q/Y9Qq6B6pZkevZV445I2dimdJ6f4C2e2KMPnNi11ITkrJLB/E/f5Chl0Sn/WSaaVO/7cxynpcKtteJ5i/M7qzWVfjOQxO/a2LFt/IvYNKhYzQ3ZW08JWKLxAjGabsnyvCe2XFkddVTxMpP+Nw8A1GCDxZnbmZFeZCD79M5trm4d1JPN6yxMbSn908/9LHZvqx0sZc2orln+tq6PreZ/2n/fcZjZxOpC6ymGowl8wcFp8oZJ2KhmIPlP8jOt48eNnFMafPuPkqR6ERTvz3K2FO5bdy6GBy6TV3NFLFykPqZ9XHQRwKY/ccKdn07Epl+WPsPoU9mtvGjdQ+eqGOv6fR/ZAtPvf0btBjJv6Ae+D9fJVpVmGomUheQpQyKM+tTCwggWpu9KpNtdwWYeLZmTiGbavcQ+PgkwY9OUHXuUNJjioGKiwbpf54X+wwoWjiNoeclFSklpMTavT+zhrvPOfY1ncEbLmLHx27Eq839Wa/QPIyuLf382TPoE5sgeKCS4fXZ/eB2/DFI4JR8y6mlMHi+n+gbUuv3Vwz4Lh/MqsAXO1aFB71u/rSyfGPt2oc+PDX9mK8V23OIuIU+PDVd9FGvquCpf7sxpes9+pGv031VabsSzjgRM0KC1vtzX9W0+pwhXC8dxGmU9s6PIv9YBzunH1pXH8K0MXpH5zxeC8WwDnZO77Lu+e9lKV/Lqzn5/BtvztjmQnLGiVjFodzEwlT84fTIQTz6MpsD/5C7KgbFhD4RxhqeWxyKAWtsDLHvCGZPL/ruLoxj43Mee+hLm6l7pJK9L/lOWte4zNPPoQ/kP9zDqq1AL888fvKME7HyI7mJmi/vihC3NOwSb6/dsGSctrvOkJCQuImM577ufqbYU1MJn9nkZKJemC3Blmg7DiK278U+eAThcFK1doSb2x/EJdLzc9XqPrZfdiP73+nKa2km6dITHccz5IwTsWhlbhyZwrKp+U8P2i9rGJ30Eo0XicN4EUi9tIU4FbRwHLvraKHNSBtrYBAefxYefxY7FELGY0y+ZhN/6trKtk2/XvS4FZqHzmu+z6HrPCW3uVNa1maB8bfnLjpbSEnFwRAdX4epg5U5u06uGX3H6d8JKW9pR3kiW2V2Dr3+f5lqL/4yUidzxolYvig/INKuEFssWNsrC21CXpBeF9r/b+9cY9o6zzj+f885Pr5gA8Y2DgEKSTAUmkTJQhoItKXdumbLFi3tpq1Z1FRdV2186app3dYgVdM+sItUdWlKt0ohyjKWLOvSLFuWrWmlMLWMpm2WtJsggVxYUi422GDiC/a57IOTNoAxvh3Dwe9P8gfEOed9Zc758zzPeS45CxvLZKsd8H110yc/X39uc2LnWy1wPxx7yveipiA/5TQX9fo8ixzbOR/66rUw6TMz0y+dTFkkXHvQiNJTS9sikww8uFwTJN8CiAAhuNZSj6AjiN0b/4y2XfeicDcDw5AMrvwOBCps8JbxsOz719yX4DhMHc5Bb83BqL9v/rgO3e3rAUSSrs/sfmlOi+2/oQDaxxoAACONEnKvMCCi8rFR0WIEy62A2Nuf9HR2KmIKUvoaB++THLQadbW7sVWNYmQ4f6G3seTR3z0KKx+GCAYfbDiCBwq/BceTvfAcCsD72WLs3b0XP/A0w3D03egXIAzeqD6GaA7VvolluLqzBLYLn4rg1nNPzDpu76E2VGpysIJjcfTdWrB+BvaaUfQ9bkblvgwN1c1L7W14VrqTUoa6B+hcQZhfVl8ioW+Kh61TgyvblkbaSExS7ISaKiGRxYGBOhz3GXB4/x4cLH8LDWfGIRgI6nQsXv/VC5DuWw/WagFrtUxzf1mLOeo1TwcYvHa3A+KF6c0HSdf5WZ9n6h7BpfANNJ3/JqqeOQ82GHmpk2NJvZYzU2SdJWbgw7j8bR1Kf6/NyPh2JqS+dIUcbQj4ugtyjNkCSwWhxAJOECAMjyzYHkSJwUDIhocME2AJgxZrL1p+3Asgkv5w6tD+T45t+s9XwLVWAQCWt/aBJbPtkF/U3gdpMr5KEWFoGM1ljTCjb1rDWZ/LAEAdoZCstMRsBZMY2A4ElqnrLUymEcwCAval/x0J5XYQzcKWW3UMbER/eP6ww+nVx/BmRzve7GhH99/XQEyiEWI85J/PbE0la02+/CsrRQwA7MUeeBxZZ4gmhL3Ug/FV9DtKJ8IDGzD89GYMP10PlpkeyG4fa8CUPP/wmlv0PNUW1RJLB2TLGIYaMhcKEVcsS7o1T9aKWKZgQiIC/1icvcTiwb8hAF9xdpQhKY3csA5Xn5Cgf8gJ/eedYMh0EXtnZCWar92/QLuLsKpjFKMeU6Tm9x4PBu/JkJAxBGKJLalmiVktYqTBg4kKZad1E0mG/X0/AqcKVVmSZDVPImzIgttkrQPM6jsVXSJo5WEriJ1sfWG8MGUX8dn3O5H3tiWpQcFiTx/Eqch5Bj4MrtENZ21mhExmCWR94rmVWXB3zo2BD0N6dEzxxnBElGDv9mHyPXUGyuVvjCKUt7Rb9MgaFnLflbiOJRoeRMODtRSAdayMSyzYmkoEn5o/2C5IDLb3fxFO0Qen6EvIvbxFk17CkZVvYehoZcLnzkSrERDKRcZKkUSrKWG3MqtFDIj0xveWcYoXvhJZVmzeoNLc7vYIORoEbUsv2M9OTgGr4xuqS+6qgLzhToiOEogWI7jC+ILSM93HuXD6jNj20S5s+2gX3g4m/12zca437ZyaSrDa6e2jTI1OTJYt3r951osYEJlUNFKnfE6U8X8y3BPqzL0aqeUhEwLBwMJvXdjcKiUgN/zAPF4cm5sLrng55CSsEuKegDuJlJU3vGsiA3czxKUdFljNs11e910kY/mViUJFDJH/kEyTG9fvV9b3L+jxoeCEXpU1lTn1owAiCbwFPSqu1ZsDocgc82lgTCbIK4ohlFpniZhkNc/rVgrDIyh6J/EGmZ1DFXh2qCmpOFlL9d8wsbMuoXPKj9/A2Pjs56BgnQuCTlkRY4IC2EtDAJ9YegcVsZtoNQK4TR4M3quckA02GuF8MAQdn3icI1MIf7IhJMy+WckfLejfuXhdinRAeuaOiREtD0kf/eGSjDxEixHMaoci+zrrKoGURCziEaMXP/vJq5j6wsa4zxnebIIxJ7rlN7BDSlvYhfUGwXzYP+2D3ssQXS6Ig4klHlMRuw09H0YoT4bMKBMfW9btB7waCOKnIjH2oS3q2LeFIvzl8agttae2j0NjDUDSLE6XIlWYcxch+VMrtZF0mpjWmP7kWQRPFsacjhWN/TW/TbrVTpNewpFXXwTZuCau45f/+izG3dFDHoU2L4Z/GELfDn1Kk7GYoACxpw+S3z/9c3NSU6KNKqmIzcC83gXXZ5SJWzGCBEdHAPaf8xgZycPYuBGWtS5Yq0cVWS8Z9HNYiXo+DLPJj/7HuCX5plKO1bGBEBBtHCEAhoBZWzX3GoIA+0tdCHZao1q7czEipuYdFLI5OHHsAKTGdfMeKwWDQIxUIAMfRmHFGK59LvnUJJkQED599xAVsRm43Cbo3MrWOxJZRuVvwrCcUJ97Zi/2YLh+6YlYLBitFkJpfNayzBKwNhsYw9wP+fJfdkE4bYk7b/BHFx5GWE5t4AxLGOz5XRtufG3TvMfmneMTthYTQdayaW1ISUVsBprLOuRezkwFv84twtlvycha6SRYGoKvJJLFL7MMBhvV16njdjinF7KYnqlUsoaFuKoIjC3237XohS6Ix+MPI7w8virVraGaN+C51gPwPF4f8zj7ni7Iryt7X8p6Hmx+XlquRUVsBlKlDxcf02UkF0rrmcIdJyXIh21wuU2Kr5cu7EXj8Ntu3jqyDNN19XXquAXn9AIASJrjoGJBbiTnqqYSbFX0/DNb+weQ/hBf2sVfhtamZV9bDUE837If3kdjv7W0HngP5KBysVpJx0EuL07LtKO4q3vPbGlNeTFV8Z2F3sAiZwtQceSnKHuFAReQcPVLOSj/q/pSL8QCI5grg5CF9DaulLUsxJt5VUSM/mZRDoeQf9EPbxzX84c1aP64Dm3F3QCA7w3V4vnCf8LMJh6b2moIorT1RXx/8LtgOv8dfW+CgPweL2bWGHgmDTB0GoE0FJ9IOg5sGqYdEVlOsicshUKhLAKoO0mhUFQNFTEKhaJqqIhRKBRVQ0WMQqGoGipiFApF1VARo1AoqoaKGIVCUTVUxCgUiqqhIkahUFTN/wHUrunXKef5zwAAAABJRU5ErkJggg==", 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", 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" - ] - }, - "execution_count": 28, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ @@ -224,7 +1821,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": null, "id": "323d5598", "metadata": {}, "outputs": [], @@ -234,7 +1831,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": null, "id": "48c8c44d", "metadata": {}, "outputs": [], @@ -244,7 +1841,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": null, "id": "09d4f5e0", "metadata": {}, "outputs": [], @@ -378,7 +1975,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": null, "id": "74d3ff7b", "metadata": {}, "outputs": [ From 6ae25de0cada9160fd0ff2dc292b2ff486c66aab Mon Sep 17 00:00:00 2001 From: AxMeNi <159522803+AxMeNi@users.noreply.github.com> Date: Wed, 26 Nov 2025 00:55:08 +0100 Subject: [PATCH 2/3] Changed some stuffs for mask displaying --- src/results_explorer.ipynb | 1490 ++---------------------------------- 1 file changed, 59 insertions(+), 1431 deletions(-) diff --git a/src/results_explorer.ipynb b/src/results_explorer.ipynb index f98a8d2..eaf43af 100644 --- a/src/results_explorer.ipynb +++ b/src/results_explorer.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 82, + "execution_count": 1, "id": "f9e1b224", "metadata": {}, "outputs": [], @@ -22,12 +22,14 @@ "import csv\n", "import ast\n", "import numpy as np\n", + "import os\n", + "import glob\n", "from itertools import product\n" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "456dff81", "metadata": {}, "outputs": [], @@ -65,7 +67,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "edd69bba", "metadata": {}, "outputs": [], @@ -147,7 +149,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "8ee2b1bf", "metadata": {}, "outputs": [], @@ -155,14 +157,15 @@ "combinations_dict = {\n", " i: {\"seed\": s, \"ti_pct_area\": t, \"num_shape\": n, \"aux_vars\": a}\n", " for i, (s, t, n, a) in enumerate(\n", - " product(SEED_LIST, TI_PCT_AREA_LIST+[75], NUM_SHAPE_LIST+[1], AUX_VARS_LIST+[\"grid_grv,grid_lmp,grid_mag\"]), 1\n", + " product(SEED_LIST, TI_PCT_AREA_LIST+[75], NUM_SHAPE_LIST+[1], AUX_VARS_LIST+[\"grid_grv,grid_lmp,grid_mag\"]), \n", + " 1\n", " )\n", "}" ] }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 5, "id": "ed81aaf1", "metadata": {}, "outputs": [], @@ -182,1425 +185,6 @@ " " ] }, - { - "cell_type": "code", - "execution_count": 77, - "id": "8de43be7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'seed': 123, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv'}\n", - "output_mps_clf_145_grid_grv_123/\n", - "{'seed': 456, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv'}\n", - "output_mps_clf_285_grid_grv_456/\n", - "{'seed': 789, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv'}\n", - "output_mps_clf_425_grid_grv_789/\n", - "{'seed': 254, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv'}\n", - "output_mps_clf_565_grid_grv_254/\n", - "{'seed': 852, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv'}\n", - "output_mps_clf_5_grid_grv_852/\n", - "{'seed': 123, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_lmp'}\n", - "output_mps_clf_165_grid_lmp_123/\n", - "{'seed': 852, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_lmp'}\n", - "output_mps_clf_25_grid_lmp_852/\n", - "{'seed': 456, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_lmp'}\n", - "output_mps_clf_305_grid_lmp_456/\n", - "{'seed': 789, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_lmp'}\n", - "output_mps_clf_445_grid_lmp_789/\n", - "{'seed': 254, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_lmp'}\n", - "output_mps_clf_585_grid_lmp_254/\n", - "{'seed': 123, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_mag'}\n", - "output_mps_clf_185_grid_mag_123/\n", - "{'seed': 456, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_mag'}\n", - "output_mps_clf_325_grid_mag_456/\n", - "{'seed': 852, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_mag'}\n", - "output_mps_clf_45_grid_mag_852/\n", - "{'seed': 789, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_mag'}\n", - "output_mps_clf_465_grid_mag_789/\n", - "{'seed': 254, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_mag'}\n", - "output_mps_clf_605_grid_mag_254/\n", - "{'seed': 123, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv,grid_lmp'}\n", - "output_mps_clf_205_grid_grv,grid_lmp_123/\n", - "{'seed': 456, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv,grid_lmp'}\n", - "output_mps_clf_345_grid_grv,grid_lmp_456/\n", - "{'seed': 789, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv,grid_lmp'}\n", - "output_mps_clf_485_grid_grv,grid_lmp_789/\n", - "{'seed': 254, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv,grid_lmp'}\n", - "output_mps_clf_625_grid_grv,grid_lmp_254/\n", - "{'seed': 852, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv,grid_lmp'}\n", - "output_mps_clf_65_grid_grv,grid_lmp_852/\n", - "{'seed': 123, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv,grid_mag'}\n", - "output_mps_clf_225_grid_grv,grid_mag_123/\n", - "{'seed': 456, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv,grid_mag'}\n", - "output_mps_clf_365_grid_grv,grid_mag_456/\n", - "{'seed': 789, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv,grid_mag'}\n", - "output_mps_clf_505_grid_grv,grid_mag_789/\n", - "{'seed': 254, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv,grid_mag'}\n", - "output_mps_clf_645_grid_grv,grid_mag_254/\n", - "{'seed': 852, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_grv,grid_mag'}\n", - "output_mps_clf_85_grid_grv,grid_mag_852/\n", - "{'seed': 852, 'ti_pct_area': 25, 'num_shape': 5, 'aux_vars': 'grid_lmp,grid_mag'}\n", - 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"output_mps_clf_103_grid_lmp,grid_mag_852/\n", - "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp,grid_mag'}\n", - "output_mps_clf_243_grid_lmp,grid_mag_123/\n", - "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp,grid_mag'}\n", - "output_mps_clf_383_grid_lmp,grid_mag_456/\n", - "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp,grid_mag'}\n", - "output_mps_clf_523_grid_lmp,grid_mag_789/\n", - "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_lmp,grid_mag'}\n", - "output_mps_clf_663_grid_lmp,grid_mag_254/\n", - "{'seed': 852, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", - "output_mps_clf_123_grid_grv,grid_lmp,grid_mag_852/\n", - "{'seed': 123, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", - "output_mps_clf_263_grid_grv,grid_lmp,grid_mag_123/\n", - "{'seed': 456, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", - "output_mps_clf_403_grid_grv,grid_lmp,grid_mag_456/\n", - "{'seed': 789, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", - "output_mps_clf_543_grid_grv,grid_lmp,grid_mag_789/\n", - "{'seed': 254, 'ti_pct_area': 75, 'num_shape': 1, 'aux_vars': 'grid_grv,grid_lmp,grid_mag'}\n", - "output_mps_clf_683_grid_grv,grid_lmp,grid_mag_254/\n" - ] - } - ], - "source": [ - "for (key, item) in all_folders.items():\n", - " print(combinations_dict[key])\n", - " print(item)" - ] - }, { "cell_type": "markdown", "id": "cd9d40cb", @@ -1611,13 +195,20 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 26, "id": "00907c17", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "123 25 5\n" + ] + }, { "data": { - "image/png": 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", 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", 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" ] @@ -1633,8 +224,9 @@ " ti_pct_area = combinations_dict[key]['ti_pct_area'], \n", " ti_nsquares = combinations_dict[key]['num_shape'], \n", " seed = combinations_dict[key]['seed'])\n", - " masked_ti = np.ma.masked_array(image, mask = ti_frame[0])\n", + " masked_ti = np.ma.masked_array(image, mask = ~(ti_frame[0].astype(bool)))\n", " plt.imshow(masked_ti)\n", + " print(combinations_dict[key]['seed'],combinations_dict[key]['ti_pct_area'],combinations_dict[key]['num_shape'])\n", " break\n" ] }, @@ -1648,29 +240,65 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 11, "id": "d363f3dc", "metadata": {}, "outputs": [ { "data": { - "image/png": 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d5+wdx/10VNoxAABajTnZhXHp7P5px4AWpSjK2cOn7hIl2aa/xv3quv2VreOT7IK0Y7Aadm4bMfGYa9KOAQAAUDS6ldbG9O3S+zihpC7iqPd3Sm19AGD1PfHagHintirtGKyE9+pK4/dP75Z2DGhRiqKcraptnpec7X1veWz7j1OjNmma++cAAABAc9enrDJO3O+B1NYvXZzE69cMiX3f2je1DABQbD6uq4qrHtwz7Rj1+vyrJJ5YtF7aMVgJm1dUxJR9/ph2DGhRiqKcvW/AA5ErzdMNyFdTnwczMfiWk9KOAQAAAK1CJkmirl3EEb0mpB0FAIrGjGx59HosvatTZpIl177opkNdmRJolYqinG3uurza/C65DAAAAC1RkslEu1m5OPvRg9OOAgCspCSz5MlXXSZmY0HOZ+tA66OcbQLlC5PY5NKRMSe7cIX7zskujGySK0AqAAAAaJlK6j6/HOLGTx6edhQAAIBGUc42kTXfycbWfzltmY9Pqa2KO6s6xY5Xj46ffPK1qE2y8eDC8gImBAAAgBYkiVg0u118WFeVdhIAYBX9rWpI2hEACk4524QqZpXEPVUdl/rYcW9/N37/4+9El4nZePL8beOgt/eL0VcfW+CEUNxKekxOOwKQgmvn9o6j398xFuYWpx0FWAXmN5BPff5VEsMeOVlBC3lghkPL0qW0NmZuWpp2jCXc/bO94uj3d4yLZg1IOwq0COZ3cSiacnbWtxZGTaeS+GjnJa9N31x0mZiNc247fJkF7ZfNuXzdqJibxJCnDoshTx0W9y2oLEBCACg+T8/vHy//YZPY/LFjY/uXD0o7DkVkmxcPiedrlPoALV2vv7aJncaNinm5RWlHAYBmq20mE9W9atOOsYRMLmLSRYPjL1cPj9M//lracQAKomjK2Vd2vCGGnfJU7LXjS2lHWa5ur2Tj3pmfD5F+f//fmbFnrXd/zNi64X/utnNy0fmWyuh8S2X89MYj4olq96IFgK+6cZ3HYs+Tnoiuf28XmTHd3VuOlbbVWh/EmiXKWYCm9n5dVVx/z95px2igzz9KY3Y2m3YMAGi2KjIl0aH7wrRjLFOH6bn475+2izOmb5F2FIC8K5pytiJTHhf3eDHtGCvlzZsGxaa/HRmn7fhg/bbd22Xjz9/9XczeaOmXjujyZjZ+eNlJ8bFLMQHAEv7yyNAorUmidHESne6pjCFPHZZ2JIrA1b2fivXLXZ0EoKmtXVoRG+3yTtoxlnDA789MOwIANFudStrFw1tfH7MOW5B2lGWq/Cgb46/ZLq6a2zftKAB5lUmSJFmZHXPTm8c132uS2piRrYld7h0dPR//PHpJXcqhlqGmY0k8/H+/i/Ylbeq3zcwuiL0uHB3tP1n6WbLXX3ZZDGrTvlARoai4Xj40XnOZ342x9TknRuni/708STKZKF+Yi8yXRmeuLKKubUlkkiSSTCb++ctLoltphxTSAitifsOqae4z/PI568Vd5+0VJdmIWKlPFfIvKY148PLfN3gPDqw6Mxwar7nP74iIhbnFMTv3+RWGchHx7bNGR+niJDLN6AIUQ3/2dFy09ktpx4CiZH4Xh6IrZ7+qJqmN4Sef1GzeDH7V7I1K4/WTr26wbfCVI6PLm0ufdrmyiCd+d10hokHRMVig8Zrr/F6Wl2pq4oc//lGU1DZusNe1y8Tv/u/30bWkxpmS0MyY37BqimWG9x/3g+h9X3naMeot6lISV59zRfQorYl1yrwmgNVhhkPjFcv8/qp7qjrG5T/+btoxGjj0wn/HyZ3fSzsGFB3zuzgUzWWNl6UkSuLTzUpj7oClXy44TUlJxNGH/XuJ7a+fdHXkypb+nEzu828gA0Br9K2/nxIldY3/xlXZoiROP+2k2P+PZ8bDi4rr5c37dVVx4cyN4vma/90b9ZczB8aFMzeKC2duFI9WpxgOAIpMu9m5OP20k2L3P5/RYLZSPO6s6uR/O4AC61E2N+b1a16fr995zt7xi083TjsGQF4U/ZmzX/jPotI46Zbjo9vLzej6CxFR2yETm53yclzXZ0KD7f3uPyb6/HPpA29xZUlsecqLcXXvpwoREYqGb/1A4zX3+b00/cf9IGJum+j98KpdFmPG1iXRe+uPIiLi74P+EpUlbZsyXpP6JLsgtht/cvS+tzw+2jkT6wz5OJIkE3XXrV1/GecZ25ZE7y0/ij9ueJuzgilK5jesmmKZ4Ue9v1O88qch0f7Tpd+6J01fzNa/bHR7rOX2B0Vjjzf3j+FrTYwfdzU/0maGQ+MVy/xemts+6xq/HPPt6DKx+Xy+Xts+E09dfG3aMaComN/FocWUsxERYxe0j9+9N7z+7zXX9mwW18pf1LUkNjjqrbij33/rt31cVxWH/uj05T5nw6Mmxu39xhciIhQFgwUarxjm99Lct6AyfnvmYat9nA/3zsWU/f/QBInyY2Z2QWzz/8vZFflo50zk1qyNKXvdUIBk0HTMb1g1xTTDB/7pxFjr+eZXzn5h2u4RSdv/fTiw/+YvxxW9nq3/+/t1VfHt14+MCZvdk0Y8aLbMcGi8YprfS7PpM9+NTjd1TDtGvVxZxPzvfRavbnt72lGgaJjfxWEZF9ctTgd0WBgHbDy2/u8X/XxA1Cafn516w5M7R58HMqnkajcrF2/fODCOPbYm/tD3iYiI6FbaLjr96P2Y97t1lvmcSTduFMceu7j+OQBA4/QeVxKT9l4Qe48/Jd7ds/mUmv3GHhdtp3/+MqzDgoiIFX+brNejSWxzzov5DQYALVDv/0REfP7ZwMxNSuPg3Z5t8Pj0bEXkbl8rBj09ssH2bNskJh1xTYFSAkD6rtn0tjh6ix9G9xebx5euSuoiKu/sGIPqvh9v7nBL2nGWa/CEw+Kqzf8cu7RrHv/tgOatuG7K1kg/7jo5zuk2Mc7pNjGe3PfSmL59er9uu1m5eOXKTePi2etHRER5pjTuGTA2fnvplfHxwUu/l8oXz7l0dv9CRgWA1O3Tfk50OPnD1T5OJhtx0JVnxN93ubIJUjWdyrfLotvL2ej2cjbWfHvlL/Mx/o/b5jEVAKyav3//kli4VnF8vNB5Ui5Of+PQBtu2aFMSA0e+Xj+bv/hZ+5lcDLzhxJSSAkDh7dC2JBav2bzKxbLqJDrf0yG2fuHQFe+corFbXRfbt61JOwZQJIrj3VMT6FlWGXWd6iJJ8TduU5WLv/18eNzxWeeIiKjIlMc2FeXx1i43xId7JLG48n/hktKo//sXZ/8CQGvxx3n9o+qqPk1yrDXfzsbxo0dFv7HHRVWuun77h3VVTXL8QuowPRdfu+DE+CS7IO0oAFBvw/IOkStN50pVjVVak0TbP3WOAyfvFbXJ51+QKs+UxuZrfBjZiv/9Dkf/6t544Irfxys/uCKtqACQikw2E6WLc5FZubshFsQX8/uo93dKO8oyrV9eGRWZFd+yCCCiFZWzERFT9v9DfLRzJtWCNpOLuOqsQ+P6eb3inwvbRkREaaYkphx4fTx90TUxa0hpzF+3NGYNKY2nL7omnr7omvhxV9cIB6B1uG9BZVw+Z72446f7RqYJv6ybyUb0eSAT+77+3fpte/zpzKZboIA6TM/FbledEc/XLP3KGwCQhgXrJBHF0c9GJBGzLl8vjn5/1/qC9rQu78YGP3oj5q5fGnXtMnHZtQdHaSbjQ1YAWp2Ob5dExT+fjYo5tVH+WV3acf4nicgmxfJiA2D5Mkmycl+BKfabmX9Zv78dF30eTP8f8nn9SuOV0VcvsX1KbVV8/bnj4/Xtb0shFTRfbmYOjVdM8/uXMwfGvZftFm3n5u8SSh/umcQ/9vldDG7TLm9rrMjlc9aLm3+/T3SYsXq/54dfz8aUff7YRKkgf8xvWDXFNMO/sMOoE6KktvmcZbMyuo6aGvcNeKDBtiFPHRZ/3fL62LC8Q0qpoHkww6HxinF+R0S8U1sV333tqIiIaH/1mlHxz8/vz17Stm1U7bNZmtEamPbN2nh4lytinbLKtKNAs2V+F4dWdebsF94+4Nr4+JD0r/9eMSeJ703ZdYnt/corFbMAtDovze8TJXn+Um6fBzPx57nbNNh234LK+Pmng/O67uuLF8WgJ74fg574ftz4h31Xu5gFAJrGrN+tt8Q97F7b7jbFLACtyv1Vg6PzfpOj836T64vZ5qj3veUx7N+nxrzcorSjAKyWoihnB/9+ZIN7xK2uXCRR8l56Z8x8oe3cXDzz1MC0YwBAs3Bn///E4jXyf2WLv969U7y5eGH939crmxVbtH8vb+ut/5cT4qCbT4tut7ePbre3j47vZZvkuGs+3ybOmL5FkxwLAFqtJKL8li6x0ePfTzsJALAS+vyrJLa6/bS0YwCslmZdzvYbe1yc8tHWsc4/Z8e3Djk+tjn7xCY5bnmmNI7Yb3yTHAsAKC5dX8/Gdy8dHQtzn9+zdfOKijiwQ1Ve1hr4pxOj16NJdH+x6c+Urfw4G+Ov3i6un9eryY8NAKvitAtvj01+8nLaMRqtdHESne/tEJs8/b20owBAQW1/+gmx58FHxj8P33Gpj+dqaqLjix8XONWKrf2Mq1EBxa0s7QDL03Z6Wby9W7vIffZWZJIkOj9dGl9rf2K8cO41S+ybTXJRlfzvUsW5JInDhx4aycKFS+z7/3eIjhVT47Nt142kJL37z/aYkMTg9Q6LV7a7JUozzborB4C8e+Dsi+Obp5+e9/vVrfFBNnY+70fx6Hm/i/YlbZr8+BuMPyq63V8Ray3K7xvGdrNy8X5N14j4KK/rAMDKOKhyfpRmXotXo/ncm25llVUn0fH2NWKXDgfGfwb/1ftzAFqFNV+dG7nXJsYy34EnSSRVCyKTS1L9DP2rMtmIzX89Mh4/89Ioz5RGRaY87UgAjdLs321k58+PSP7/eMhlo2wpl5OvSWpjx1cOiUP7bF//852+Q6Pugw8jO2v20n/mzIm66TNijZc+zvsHwMuTyUZ0ubUydn3toPozeACgtVqrtHD3d2s3KxdDLxoVj1ZHvF/XtGfOtqmojcUdM7Fg7fy/1HrkF0PjmZravK8DAC1dSV1E9pq148KZQ9KOAgDNRnbmrFjj1U/SjrGENT7Ixj4n/ygG/fWk+LiJ39MD5FuzPXP2P4tKo8MHS5am7T+pi0Pf3b3Btilzu0aXr09apXXq3vsg2ndeI6r6rbFKz28qybVrxTdOOij+sdFffdMHAApkjQ+z8dPTj49Pv7swJu54S5Md942ht0YM/fzPA284MdZ6Ib9n0F760V4xZI2P4pxuE/O6DgCsSPfS+fHJ1z7/ctIaUyPazS6+yw7+44MhUZuUxi+6v+wMWgBapBvm9YgHZg2OkgWLYqUm9aLqKFuUi7p2zW8u9v5vxNAOo+K/u18e/cor044DsFKa37+m/9+Jzx4WXW+YsMT2ivufjXk7zmrws6rFbHNTfWWvGPrCYWnHAIBUfbRP4c8CTSZXxo6vfCsm1S5o8mN33GJWkx/zq6ZdMiD+fvGueV8HAFZkh7Yl8dbR18RbR18T6xz5dlSv2Ww/dlimtjd0jkd+MTRqkrq0owBAXlxyx7di3o6zom7Keyu1f93H06Pt9KZ/v9xU+vy9NG6eu03aMQBWWvG9S8qDzIczovyz5vGmq91NndOOAACpmrjntTH78MJekmit53KRua577HvX6TEnu4z71TfSdi8dHO/UVkWbAs32supcDHnKl7wAaD7+usG4qO7efO5P11iDx52YdgQAAKAFapbl7KWz+8f6vy5cWZqdOSvaPjM5SqvTv9xSJhuxwW3eAALQem32xx9FydOdUlm75xNJ7Hj16Nj46pGx8dUjY+sXDl3lY522wbjY589nREm2CQMuR0ldxBp3rREbXz0yDpi8d2EWBYAVOOvov0Rt++IsaHv/oyz633t8XDhzo9j3rX3TjgMA6Zr8XlTMLfyVrlbWPTftEq8vXpR2DICVkkmSZMkbuy5FbvqAfGeJmqQ2vjns0Mgsqom6aR/lfb2vylRUxMK9N4ukJN03jklJxPShmXj7u9emmgOam5Iek9OOAEWnEPO7qT24sDwuOOMHaceIiIhsRSbWPP79uH/g/Y1+7vp3nBA9n0gik8J3v2YfXhWvb39b4ReGpTC/YdUU4wxfludrFseo00+OWKlPH5qXpDSitl1JlGST2Pq05+OKXs+mHalZyyY59+ltQcxwaLzmOr/rP3fPfT6Mk9lzIjt3XqOPk9tx86jp1iaSTPP84lV155IYf/5lUVnSNu0okBrzuzg0u1fM2XemplLMRkQkNTWprPtVmVxEz8eT6Df2uHintqr+BwBagz3b18bpv7kt6tql/2avtCaJz37fN47/cPvIJrmY0oh5nMlmIpPSh9BdbquMAybvHbVJgU7bBYDl2LKiTVz+298X5Rm0mWxEm6pclC1K4t2qbmbrCuz9vaOjJmm+Z1UBtGbZd6ZG3buf/6xKMRsRUfL4S1E+PxuZlTvfq+DazsnF7j85NT6s81k60Lw1u3I2bW3mN497z0ZE9HkgEyNGnV7/szC3OO1IAFAQB3aoiv3OejgWdWsGL1WSiDd+tWn86KPt4zvnnBE3zOsRN8zrES+t4Etdbx92TSxYK538i7qUxIw/9osjpw73ITIAzcKWFW3ioLPHpR1jtcz73TpxZ9Vaacdo1sb9+caoyJSnHQOAPCr77/PRZl7z+Qz9q9p8lot9Lz8z7RgAy9UMPvFsXsoeeyXtCMv0vXf2j1Efb5V2DAAoiHO6TYxtjnsxFvQoiRnblESuLN08L/9y82hTlYsxP/lGjPnJN+K7zx2TbqDlmDsoiao+mfjgkg3jG5P2TzsOAERExMZtp8XsjUrTjrFafvPmnr44DUCr15w/QwcoBs2qnB1098kRKV8SIclmo3LKZ6lmWJZZl68XT/5+6/jOlN3iF59uHHdWdUo7EgDk1dW9n4rtfvBi3PvdS6N2xOy04zSQeXmN2PDRI+KVxdXL3Kfjtz6OuraZmHZgYS/v1/PxJLpM/PyM2XlX9y3o2gCwLLVJWbSdlUTFnOK97G3HmzrGx9nF8bXnvp12FABITXP+DD0iou3sJDZ89Ij4+aeD045SUBs+cqTbI0KRaFbl7Eabvh+R9s3EkyQy736YboblqJiXi7dvHBj33rBLnP+nw+LRZX8eDAAtwtW9n4rBbdrFM1vcFV1HTU07Tr2ur2dj7b+0i2/feFrMzC5Y6j4PD7kvdj7zqXhi1yti+iHN4972AFBIg64fGVufc2Jkk1z8a84m0e36CdHmpXei4zMfRMdnPohMrnnes2559r31jGh7W+fY8NEj0o4CAOlIkkhemxSVk1ft3rX5VjEvF2v/pV3cNXmLtKMU1PAN3opOJSn3K8BKaVbl7L0b/i3tCEWh3axcrPFBNjq/lY0ParumHQcACua8dcamHWEJ3V7Jxu6/PWOZj1+09kvRs6wyduz/ToPtmVW4WsjynrOsx0rqIja7aGT0+9txjV4PAFZX74ero8ufJsR+Bx4ZHxzZJyIisnPnRd20j6Ju2kdR+ejklBM23trPZqN0cRLd7msfgycclnYcAFihikx5rPNU+yY9ZlJXF8nEt5v1GbStzdW9n4pupR3SjgGshGZVzlZkyuOIie+nHSOy8+dH+789F2tMmpt2lBWam23aoQoANF7H97KxxS9HRlWuOmqTbNQm2SX2ub7vwzH78KpI8vTqK1nO1Uc6vp+N3g9lov+DRy81GwDky+23/D7K+q8XybOvRvbNJYvY7Jw5scbDk4ryDNrSmiQ6/7kytj/9hDjnk03SjgMAy3VYtwlNfsykri4yi+tW6cvHhdD5Lx3i8Km7RDbJpR0FoIFmVc5GRAxoMz1KB/RPO0ZELpv6/W9Xxh0/3Tdunt8t7RgA0OpVTsvGtledFru8ekh8+529l3i8PFMa/9jquvhkq89ffi2vTF2WVXnOFzK5iN5/K4u93/zmKh8DABprrdIOcdejdy73FkbZOXNijeenFTDV6vnyPM5kI8qqk3jkF0PjqWpfgAKg+WpfUtPkn7uX9Vg7IpOJtp80z9v4lNRFvHfxwDj1420VtECz0uzK2W0qymO/vz0b87+7Xcz/7nZR1rtXalkyCxZFaXXz/0f7unMPSjsCABARXSZm49OX1o7T+zyw1Me//tzxsfYz6b62ePeD7jGltirVDAC0LqWZTCz41jZpxwCAVm2bivJY7/aPmvSYddNnRKZqYSzu1KZJj9vUHrpv6/jRR9unHQOgXrMrZyMifrjmBzHht9fGhN9eG5MuXitKu3dPJUfdex9EhzemR2lN8y9oAaA1WLu0Nj4atupnjxbC2k/n4uzJzfeLU33GlsVuD42KT7IL0o6ySmqS2tjw0SPSjgFAI1RkyuPC3/xhufskVVVRMae2QInyY8RzI9w+AIBWp+69D6JiVnXaMZarZuCieO7yLdKOAVCvWZazXzZ5lzEx5+aOkamoSGX9uvc+aPZnz5ZkI9b/71FpxwCAJvWLTzeOTS8ZGZteMjLGLvj8Hus9yypj7IGXxYd7NO9bD8x6pGd95uaozz9KY/t7Ti/KD5BLoiS6dFyYdgwAmlh27rxo80lxX9mh+5/bx4Z/OzEGPfH9tKMAwFId0fWJeP+uTaLqkG3TjlJQvf7aJkoXN+/PEYDWpdmXsxEREza7JzJlZamtX/HC21FS24z/8U4i1ny0bYyZv1Zs/cKhaacBgNXySXZB7HL0sTHh6K9Fz0ufjJ6XPhm/P+rQeH3xotjm7BNjcJt2seHApr0UU1Pr8mY2zr1qRLy+eFGD7Td+bUx8unlpSqka6vVIEkP+dFLaMRqtPFMaT21+d9oxAGiEoaedEBcc2zq+UNzjsZI4Z9P7044BAEu1XdvS6NNlbqz53PQmO2ZZv3WjpnvbJjtevpTURQy49cS0Y+TdgFtPLMovYkNrk0mSpBm3jhSL3PQBaUeghfrJjE3j71OHxKvb3h4lPSanHQegRdnqB5fGM7+8Ju0YtHDmN0DT8x6cQjDDAZpWIeb3pNoFsWF5h7yvQ/NlfhcH5SwAAAAAAABAARTFZY0BAAAAAAAAip1yFgAAAAAAAKAAlLMAAAAAAAAABaCcBQAAAAAAACgA5SwAAAAAAABAAShnAQAAAAAAAApAOQsAAAAAAABQAMpZAAAAAAAAgAJQzgIAAAAAAAAUgHIWAAAAAAAAoACUswAAAAAAAAAFoJwFAAAAAAAAKADlLAAAAAAAAEABKGcBAAAAAAAACkA5CwAAAAAAAFAAytkWaOrUqZHJZGLMmDFpR8mbhx9+ODKZTDz88MMr3HeXXXaJXXbZJe+ZAGB1mN8Nmd8AFAPzuyHzG4BiYH43ZH5D4Sln82TMmDGRyWTqf8rKyqJ3794xYsSImDZtWtrxlmru3LlRUlISDzzwQERE3HvvvVFRURE1NTXLfd7//d//RSaTiSFDhhQiJgDkTUue31+8MVvaz1NPPZVGdABoEi15fn/hhRdeiAMOOCC6dOkS7du3jyFDhsQVV1xRyMgA0KRa8vweMWLEMt9/ZzKZZvv7AYVTlnaAlu7888+Pfv36RXV1dTz11FMxZsyYePzxx+O1116Ltm3bph2vgWeeeSYiIrbddtuIiJgwYUJsscUWUVFRscznfPjhh/HLX/4yOnToUJCMX9h5551j0aJF0aZNm4KuC0Dr0JLn9ymnnBJbb711g20bbLBBfkP+f+Y3APnUUuf3gw8+GPvvv39sscUWce6550ZlZWW888478eGHHxYkq/kNQD61xPl9/PHHx/DhwxtsS5IkTjjhhFhvvfWid+/eec9qfkPzppzNs3322Se22mqriIg45phjolu3bnHRRRfF2LFj49BDD005XUPPPPNMDBw4MNZcc82I+Hy4fDFolmX06NGx3XbbRTabjZkzZ+Y9Y3V1dbRp0yZKSkqa3XAGoOVoyfN7p512ioMPPrhA6T5nfgNQCC1xfs+fPz+OOOKI2G+//eLuu++OkpLCXQDN/AagEFri/N5+++1j++23b7D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QZ3a8cNa4GHDcm/HuyMwqn6S9evoey934vWmDx5Z95t2RmRWWSH7itY0s4QCrUTZwWtoRgHZaZ9icaOxZFu/tlM6vIGvf0T2uOvfIeK5xxU3pXtvjN/HeAQ2r3K/uyQt3WqHUBVbP/A1dw9mzt4kT3hoZl0zfu8PPVVGfj6vOPTJOuP60uKe297LXKzPlcd/Yn8Xc4SsvaJtqMpGtycePZ32xwzNCZ2AOB5JSvSAXZ1x1aty0aEDaUaDkmb9LQyafz7foEZbc7GEdnaXgdj3z1ChrWv6vN3O/bPQasCRe2PF3BTnHiMmHRcUN/SOzkpWZ3j9yabz6mZtW+rmNHzs21r6j+7I/vzsyE78/9HJLxsAnMLFA6xXj/L3nywfG7IW9ot8tPVPL8M4hjfHK53794dO8/2On80ZFt8UrX3Jx0dcWxfMF+h0CugrzN7RNMc7hn+STro070pyj6uKVkTcv99pj9REn3jEq1p60fJiFQ8rjhbOsggEtZQ6H1ivG+XvPlw+MpdevG+WN6a1k1VIzv5iLGftdn3YMKGnm79LQ6Z6cPXjaPrHRHafGRnecGpnsihPO4AfLo89NvZcds8+U/Vc4ZlJDU2x0x6lxzBu7R0TEsEePi7nZJSs938St7458+cqfnl3rju4x5E8nrvS9Fz9zQww5Z8qyn9sOuUoxC0CX8Mjm90eP+3uv/sAOtO7vu8Um97V+/9jud/XpgDQAUPo+6do4abtVR1x7xK9iyDlTYuGQVS9zDABdwSOb3x/N1cUxR6/OGpMr4+zZ26QdA6DDdZpy9qZFA2KrS0fHO78ZGus+lo91H8uv+hu7+Vh2zILfrhdHzvjccm9vXpmNNTeZG69ev1mcPXubqJ5cE4tzbfhmUT5i0F/KY8j9J6/wVlWmMm7a4LFlPztWVbZ+fAAoUWPPvz3tCDHokYhP3XZqqz5TuTQfn/pd6z4DAF3FV37wYOLn7PXnnnHue1uv8Pqe3bNx0waPxZXfuC6W9u80tz4AoE2K4Rq8JXq+k42n5myYdgyADtcprlBealwa1154WPR5PRtVC1u3hlK3xbmYuXiN5V7rWVYd//z076L2i7Xxbn2feHDMz2L9ipqIiGjINy137FaXjl5h6eSPy2Qjqt9dxeZ1ANBFHdpz7gr7rycuH9FjZlk05bPLvXzbjy5Z5b6zkY8Y+GQ+Rpxzanx60lEFjdOQb4psPuG1IAGggL6xxtvxuysujXW+9Vpi56xekIt//XREjF+01kr3ht+9ey7++P1L4pJLx0XeQ7QAdFH/d3Vhr187UvONa8cFc7ZIOwZAhyr5cvaZhsaYuHRIVCxt+5r585d0j9pc/XKvVWUqY8quN8ctGz4ae916drybrYvJDQ2x7dVnxIym2mXHVSxZ/XnLGiPeaq5d7XEA0JUUw1Msvd/Mxha/HRMzPzZPb1TZM6782VWr/EwmF1G5JB+LF3aP+dm6gmXZ4rbT45vv7lSw8QAgDYMresaQHvOiqUdy38Iqb8jHDd/+Unz+m6et9P11KnrGiOryePGb9psFoGt66rwrom6tsqhfI/3r8NUpb8zH338wMq6av0HaUQA6TPH/a7wao35wRow//6B2jdHvlp7xf3N3WOX7U792bfxu0afjivf2in6vZGPv350dzzR8+I3cBZvlV/vkT79XsrHnxz4DAF1dZaY8fn3+5WnHiIiItZ/OxW73fyumNLauaB10X2WcMXPfguV47ehr48p1ny7YeACQlp+uPTnqDluY+HkzuYjLPhia+HkBoNhVZSrjmQuujaO+9VDaUVrszu/uG+e/t1Vct2BQ2lEACq7ky9lCuW3yjrHHSwfFvq/st+y1GxYOjD1eOij2eOmguPeiz8drP908IiJq3svEQ4uHR0TE64dfFzO/mF3pmB83cGIujrjv9GXjWbYQgK5uQHlTzNw/G3M/nf4agzVvl8eTS/97M3ft8sZ4d5fV/5r0r+c3jelNVscAgP/1hQ2mxOLByc7xmVzEnf+3d+zx0kFx8dxNEj03AFB4/7pw5/j1ZQfGHi8dpKQFOhXl7P836A8V0TxuYCy+dnAMf+ory16f88igaB43MMobPrZ8cT4i97HHZZ/c+/IWnWPdx/LRPG5gNI8bGMP+dmKhogNASRpc0TNmfOHX8dOjx8ecrdMvaD8uFxGZtu+YAABd2q2L+8edz2yfylxaueTD6+7rn9ot+ZMDQBGb2Vwb4/68T9oxWq37vFw0jxsYV//2oLhh4cC04wAUhHL2f5Q1R/S8s3ds+vhX44Q+s6NunRWfcO39Zjbu+dXnlk0GA8q7xz4//GcsOHZxi8+z7v2VMeT+kyMi4pDXPh+b/Wp0PLK0uG5MA0ASDuxRF40b1q/+wA7Ud2o2rvzlIfFwXWVERPQrq4iv7fuPeOeQlW9JMHd4eezzw3/Gn/a9PDaq7JlkVAAoejtUvxXRXBY9Z61+lamO0v+pijjp7V1TOz8AFJu52cpY58nSXc2x79Rs/HPBxmnHACiITD6fb9F3WXOzh3V0ljbZ8dujompR4SeVbLdMNPTJRNWi/PJPzX5MQ5+yuPqCK2PHqg9v5C7MLY3t/jk61rm7W4vOkS+PWNqvLCrr8lG5JB/1fcvi3h9cEoMr3OSFlSkbOC3tCFByCjl/v9tcGyd8/rjlXvvs3c/Huf3b/3+bQ//69Rh0X2W7x2mv+r5lcc8PLon1//9cPDe7JHZ44Jux81bT4tXfbho1cz78nSNblYnmr86LSdvclWZcKAnmb2ibYr0Gb4lz39s6/nnpiKhcku4yFI09y+LL5z4UY/u9nmoOKFXmcGi9Yp6/Jzc0xGljT087Rrs09C6LbFXEH77rHjqsivm7NJT8k7N//fFl8bEVhgumvDEfNXNyqyxmIyKqFuZi7NljYsdvj4qIiD5l3ePV3W+Iv119dSzYaPVPwWayETVzcssuWKvn5+KIc86Kmc32rmurE94aGcNuHpV2DIBO6cXGvpF99bXlfv6xbd+4fXHfdo/96l7Xx/vbpv9rSfX8XBx59n/n4gHlPWLqgdfGzRs+Ek9ecGX87eqr429XXx3Dxz4fDU0VKacFgOLUkKuIsqa0U0RUHP1enNH3tbRjAAAFUrUoFzVzcpGLcA8dKGnp3wVtp5pMt1i4YXrLAWeyHxa5D9ZVR0REeaYsqjKVUTc416KC9n+VN+TjSz84u2BLHDfls3Hr4v7L/SzMLS3I2MXohvUfj2lfvTbtGACdzjUL1otfbLndCq/nmxrjN5sNjYvmbho3LRrQ5vErM+Ud8mWrtihvzMfBPzp72Z8rM+XL5vePfn45eEI8v+PvUkwJAMXr8nX+Hb1PeTsae6Z7y6E8k4/yTMnf9gCAgqgpa47aQZ1jW72bFmxf0HvoAEkr+auUykx53HTaL1LNUFGfj+//7Pi47IOhy16bfsR18ew3r4rZI1r/P3H1/FyMufmUNucZv2itOPbN3WJ+ti7eyy6N6847bLmfzz33tajLrXwPPQBYmQeO3DVy9avYFzaXjX9tVR03jv1Su85RteWCaK4ujoa2vCHiormbph0DAErWXzZ9MCqPfi/Vgvbt19eMlxo775eTAaA1Nq7sERedeWO8s1sm3tktE/V9S7caeOiCz0b1/FyMveqUuGHhwLTjALRa6f4L/P9l87k49PFT044RNXNy8dvr940L5myx7LXKTHncfsQVbRqv++x8bPbEV+OaBeut9timfDY2e+Kry35+Pv6wmPGzzWK7v4+J3R8fs2LWG/vG1v86qU25AGBVal77IPZ46aA2f/6FHX9XNBeH3Rbn4tZ7Ppd2DAAoacPWmBPZbumdf/DDmTjggTPjLcseAkBEROxXUx/Tv3xdTP/ydbFo6OqPL3a938zGL8Yf0qJ76ADFpDjugLZDLvKx7r0pXu19TO+3snHHq9su99qnKrOx4NjFrR6rx3u5GHBbTdzx9varPbYpn40Bt9Us++n7ajYiIgbdVxnr3FW10s+sfVd1DHlAQQtA4WSnTo+5Dw9KO0bB9HozH5+fckDaMQCgZP1z0ubR/YNcqhkGPRLxdnNNqhkAoBidcvBDRfMF6fboOzXbonvoAMWk5P/1rcyUxz4/+GfaMZbp9eeecfbsbZb9uU9Z9/jH9tfH3K/UtWm8ursGxlY/Hx1b/Xx0NOSbChUzIh8x6OGyGHL/yYUbE4BO67A7Ho2y6uoOP89FY2+MXEWHn6ZFqhbm4rXXLY8EAG11+wFXx6L1098L7huXjyns9TQAdAJj+71eNFsLtVfdXQM9PQuUlJIvZ5vy2Xjgp7unHWOZ6gW5eOKnO8UNCwdGba4+anP10ausWzyz8w0x84ut/8Zw93m56DMjG31mZGPXH5y+0r1id/3JmW3KmslGVL9b4SIVgNU6oc/s+PbLE1d73KArn4mNHjn+E4+pzdXHu821se8BR8fC3NLlfnap+iD6/H1aZHL5QkVvl3UfLovPTznAXAkALbDvgccs9+cdqyrjj9/6War7zkZE9Ho7GwtzjSu9ngaAruyhb18SucrSL2i7z8vFrRfuF5MaXLsDpaHky9mIiMZexTWBlDfmY/z5B8UXTjsjvnDaGbH1r86ImrJuERXtW86p+9xc7PKzM2NK4/JP4T7x7cvbPOaAF7Kx6V9GtSsXAF3D0IrV79eWb2iIXOMnPyFz8FdHx3Hrj4z8My/FEYN3Xu7nyPV2iey8D6LH36dERV02yhvTXQqxrDninQW9Y4vbT4tnGgp3Q3dyQ0Nk8+n+3QCg0P5y/y0rvLbf1edEt9r057xDTx+70uvpiA+/9P1C44dfHnusPmJhbmkKCQEgeWuV94glA8tiycCyqF+jtKuC8oZ8PL5kk7RjALRIaf+LGx8ua3zjuZenHSMxvd7Oxv6/H7vca+WZTMwdXh6NPcvi/W3Lom7N1v1/a8XcSt8qAqBgal7rFke8vme8n13S5jFyixdHt4f+HT3+MzvK69O9odvvlp5x9F7/iu2qCrfH/Zf+Nibmu/ELAIn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" ] }, "metadata": {}, "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "output_mps_clf_145_grid_grv_123/\n" + ] } ], "source": [ "with zipfile.ZipFile(r\"K:\\CET\\Resultats\\results.zip\") as zip:\n", " for (key, item) in all_folders.items():\n", " deesse_output = pickle.load(zip.open(item + 'deesse_output/deesse_output.pkl', mode='r'))\n", - " plot_realizations(deesse_output, varname='grid_geo', index_real=0, n_real=10, show=True)\n", + " plot_realizations(deesse_output, n_real=10, show=True)\n", + " print(item)\n", " break" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "848ddedd", + "metadata": {}, + "outputs": [], + "source": [ + "deesse_input = gn.deesseinterface.DeesseInput(\n", + " nx=337, ny=529, nz=1,\n", + " sx=1, sy=1, sz=1,\n", + " ox=0, oy=0, oz=0,\n", + " nv=2, varname=[['grid_geo', 'grid_grv'],['grid_geo', 'grid_grv']],\n", + " TI=ti_list,\n", + " #pdfTI = pdf_ti,\n", + " mask=simgrid_mask,\n", + " dataImage=cd_list,\n", + " distanceType=distance_types,\n", + " nneighboringNode=nvar*[nn],\n", + " distanceThreshold=nvar*[dt],\n", + " maxScanFraction=nTI*[ms],\n", + " outputVarFlag=outputFlag,\n", + " expMax= expMax,\n", + " npostProcessingPathMax=1,\n", + " seed=seed,\n", + " nrealization=numberofmpsrealizations\n", + ") " + ] + }, { "cell_type": "markdown", "id": "764f81c2", From dbd3603f69fabe70d3ac85928a483aa13a680b0e Mon Sep 17 00:00:00 2001 From: AxMeNi <159522803+AxMeNi@users.noreply.github.com> Date: Wed, 26 Nov 2025 00:56:45 +0100 Subject: [PATCH 3/3] doc: remove txt.txt --- images/txt.txt | 1 - 1 file changed, 1 deletion(-) delete mode 100644 images/txt.txt diff --git a/images/txt.txt b/images/txt.txt deleted file mode 100644 index 8b13789..0000000 --- a/images/txt.txt +++ /dev/null @@ -1 +0,0 @@ -