From 2d92abcca5d56de33a2b5260250ba7bc326cda65 Mon Sep 17 00:00:00 2001 From: DavidHerreros Date: Thu, 13 Jun 2024 09:44:16 +0200 Subject: [PATCH 01/11] Tutorial preprocessing with file dialogs --- pyproject.toml | 3 +- tutorials/tutorial_preprocessing.ipynb | 300 ++++++++++++++++++++++--- 2 files changed, 269 insertions(+), 34 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index cf03973..e689b3d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -50,7 +50,8 @@ dependencies = [ "aspire", "jupyter", "osfclient", - "seaborn" + "seaborn", + "ipyfilechooser", ] [project.optional-dependencies] diff --git a/tutorials/tutorial_preprocessing.ipynb b/tutorials/tutorial_preprocessing.ipynb index fd9abcc..3a7b221 100644 --- a/tutorials/tutorial_preprocessing.ipynb +++ b/tutorials/tutorial_preprocessing.ipynb @@ -2,26 +2,38 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:27:34.530526Z", + "start_time": "2024-06-13T07:27:34.505286Z" + } + }, "source": [ "%load_ext autoreload\n", "%autoreload 2" - ] + ], + "outputs": [], + "execution_count": 1 }, { "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:27:36.113710Z", + "start_time": "2024-06-13T07:27:34.532295Z" + } + }, "source": [ "import json\n", "import os\n", "import torch\n", "import matplotlib.pyplot as plt\n", - "import numpy as np" - ] + "import numpy as np\n", + "import yaml\n", + "from ipyfilechooser import FileChooser" + ], + "outputs": [], + "execution_count": 2 }, { "cell_type": "markdown", @@ -33,22 +45,151 @@ ] }, { - "cell_type": "code", - "execution_count": 29, "metadata": {}, - "outputs": [], + "cell_type": "markdown", + "source": "" + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:40:06.603104Z", + "start_time": "2024-06-13T07:40:06.536721Z" + } + }, + "cell_type": "code", + "source": [ + "# Select path to submissions\n", + "path_to_sub_set = FileChooser(os.path.expanduser(\"~\"))\n", + "path_to_sub_set.show_only_dirs = True\n", + "display(path_to_sub_set)" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "FileChooser(path='/home/flex', filename='', title='', show_hidden=False, select_desc='Select', change_desc='Ch…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "079b8d53900448108b5ec92c319b563c" + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 11 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:40:21.422797Z", + "start_time": "2024-06-13T07:40:21.365912Z" + } + }, + "cell_type": "code", + "source": [ + "# Select path to submissions (submission 1)\n", + "submission1_path = FileChooser(path_to_sub_set.selected_path)\n", + "submission1_path.show_only_dirs = True\n", + "display(submission1_path)" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "FileChooser(path='/data/flex/ScipionUserData/projects/Challenge_Flatiron_Second_New_Dataset', filename='', tit…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "ce28e434f6d741048f0cdad2432871ec" + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 12 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:40:31.706352Z", + "start_time": "2024-06-13T07:40:31.645910Z" + } + }, + "cell_type": "code", + "source": [ + "# Select path to submissions (submission 2)\n", + "submission2_path = FileChooser(path_to_sub_set.selected_path)\n", + "submission2_path.show_only_dirs = True\n", + "display(submission2_path)" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "FileChooser(path='/data/flex/ScipionUserData/projects/Challenge_Flatiron_Second_New_Dataset', filename='', tit…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "ef349716af4e4be2ae6fd8df521aead6" + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 13 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:40:40.403450Z", + "start_time": "2024-06-13T07:40:40.335296Z" + } + }, + "cell_type": "code", + "source": [ + "# Select path to Ground Truth\n", + "path_gt = FileChooser(os.path.expanduser(\"~\"))\n", + "path_gt.show_only_dirs = True\n", + "display(path_gt)" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "FileChooser(path='/home/flex', filename='', title='', show_hidden=False, select_desc='Select', change_desc='Ch…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "9e71e2ed0f6648808ee837e03055fbda" + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 14 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:40:59.387306Z", + "start_time": "2024-06-13T07:40:59.348942Z" + } + }, "source": [ - "path_to_sub_set = \"/path/to/submissions/\"\n", - "\n", - "submission1_path = os.path.join(path_to_sub_set, \"path/to/submission1\")\n", - "submission2_path = os.path.join(path_to_sub_set, \"path/to/submission2\")\n", - "\n", - "path_gt = \"/path/to/ground_truth/\"\n", - "\n", "submission_config = {\n", " \"gt\": {\n", " \"name\": \"gt\",\n", - " \"path\": path_gt,\n", + " \"path\": path_gt.selected_path,\n", " \"box_size\": 224,\n", " \"pixel_size\": 1.073 * 2,\n", " \"ref_align_fname\": \"1.mrc\",\n", @@ -58,23 +199,28 @@ " \"align\": 0,\n", " \"box_size\": 144,\n", " \"pixel_size\": 1.073 * 2,\n", - " \"path\": submission1_path,\n", + " \"path\": submission1_path.selected_path,\n", " },\n", " 1: {\n", " \"name\": \"submission2\",\n", " \"align\": 1,\n", " \"box_size\": 288,\n", " \"pixel_size\": 1.073,\n", - " \"path\": submission2_path,\n", + " \"path\": submission2_path.selected_path,\n", " },\n", "}" - ] + ], + "outputs": [], + "execution_count": 15 }, { "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:41:01.194466Z", + "start_time": "2024-06-13T07:41:01.153354Z" + } + }, "source": [ "# create submission config\n", "with open(\"submission_config.json\", \"w\") as f:\n", @@ -83,7 +229,9 @@ "# load submission_config from json\n", "with open(\"submission_config.json\", \"r\") as f:\n", " submission_config = json.load(f)" - ] + ], + "outputs": [], + "execution_count": 16 }, { "cell_type": "markdown", @@ -101,10 +249,62 @@ ] }, { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:43:02.295840Z", + "start_time": "2024-06-13T07:43:02.231814Z" + } + }, "cell_type": "code", - "execution_count": null, - "metadata": {}, + "source": [ + "# Select path to Config\n", + "config_preproc_path = FileChooser(os.path.expanduser(\"~\"))\n", + "config_preproc_path.filter_pattern = '*.yaml'\n", + "display(config_preproc_path)" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "FileChooser(path='/home/flex', filename='', title='', show_hidden=False, select_desc='Select', change_desc='Ch…" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "c0538171e58e4fb58fc2633c0624b3a7" + } + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 19 + }, + { + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:43:16.259106Z", + "start_time": "2024-06-13T07:43:16.215287Z" + } + }, + "cell_type": "code", + "source": [ + "# Get output path from config file\n", + "with open(config_preproc_path.selected_filename, \"r\") as f:\n", + " config_preproc = yaml.safe_load(f)\n", + "output_path = config_preproc[\"output_path\"]" + ], "outputs": [], + "execution_count": 20 + }, + { + "cell_type": "code", + "metadata": { + "ExecuteTime": { + "end_time": "2024-06-13T07:43:22.054839Z", + "start_time": "2024-06-13T07:43:18.169467Z" + } + }, "source": [ "n_submissions = 2 # change this to however many submissions you preprocessed\n", "\n", @@ -115,11 +315,45 @@ " 0, 20\n", " ) # doing random volumes to check that everything went fine\n", "\n", - " submission = torch.load(f\"/path/to/output/submission_{i}.pt\")\n", + " submission = torch.load(os.path.join(output_path, f\"submission_{i}.pt\"))\n", " print(submission[\"volumes\"].shape, submission[\"id\"])\n", " ax.flatten()[i].imshow(submission[\"volumes\"][idx].sum(axis=0))\n", " ax.flatten()[i].set_title(submission[\"id\"])" - ] + ], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "torch.Size([80, 224, 224, 224]) Mango\n" + ] + }, + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: '/home/flex/Projects/Cryo-EM-Heterogeneity-Challenge-1/tutorials/results/submission_1.pt'", + "output_type": "error", + "traceback": [ + "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[0;31mFileNotFoundError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[0;32mIn[21], line 10\u001B[0m\n\u001B[1;32m 5\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m i \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(n_submissions):\n\u001B[1;32m 6\u001B[0m idx \u001B[38;5;241m=\u001B[39m np\u001B[38;5;241m.\u001B[39mrandom\u001B[38;5;241m.\u001B[39mrandint(\n\u001B[1;32m 7\u001B[0m \u001B[38;5;241m0\u001B[39m, \u001B[38;5;241m20\u001B[39m\n\u001B[1;32m 8\u001B[0m ) \u001B[38;5;66;03m# doing random volumes to check that everything went fine\u001B[39;00m\n\u001B[0;32m---> 10\u001B[0m submission \u001B[38;5;241m=\u001B[39m \u001B[43mtorch\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mload\u001B[49m\u001B[43m(\u001B[49m\u001B[43mos\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mpath\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mjoin\u001B[49m\u001B[43m(\u001B[49m\u001B[43moutput_path\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43mf\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43msubmission_\u001B[39;49m\u001B[38;5;132;43;01m{\u001B[39;49;00m\u001B[43mi\u001B[49m\u001B[38;5;132;43;01m}\u001B[39;49;00m\u001B[38;5;124;43m.pt\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 11\u001B[0m \u001B[38;5;28mprint\u001B[39m(submission[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mvolumes\u001B[39m\u001B[38;5;124m\"\u001B[39m]\u001B[38;5;241m.\u001B[39mshape, submission[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mid\u001B[39m\u001B[38;5;124m\"\u001B[39m])\n\u001B[1;32m 12\u001B[0m ax\u001B[38;5;241m.\u001B[39mflatten()[i]\u001B[38;5;241m.\u001B[39mimshow(submission[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mvolumes\u001B[39m\u001B[38;5;124m\"\u001B[39m][idx]\u001B[38;5;241m.\u001B[39msum(axis\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m0\u001B[39m))\n", + "File \u001B[0;32m~/miniforge3/envs/challenge_flatiron/lib/python3.10/site-packages/torch/serialization.py:997\u001B[0m, in \u001B[0;36mload\u001B[0;34m(f, map_location, pickle_module, weights_only, mmap, **pickle_load_args)\u001B[0m\n\u001B[1;32m 994\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mencoding\u001B[39m\u001B[38;5;124m'\u001B[39m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;129;01min\u001B[39;00m pickle_load_args\u001B[38;5;241m.\u001B[39mkeys():\n\u001B[1;32m 995\u001B[0m pickle_load_args[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mencoding\u001B[39m\u001B[38;5;124m'\u001B[39m] \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mutf-8\u001B[39m\u001B[38;5;124m'\u001B[39m\n\u001B[0;32m--> 997\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m \u001B[43m_open_file_like\u001B[49m\u001B[43m(\u001B[49m\u001B[43mf\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mrb\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m)\u001B[49m \u001B[38;5;28;01mas\u001B[39;00m opened_file:\n\u001B[1;32m 998\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m _is_zipfile(opened_file):\n\u001B[1;32m 999\u001B[0m \u001B[38;5;66;03m# The zipfile reader is going to advance the current file position.\u001B[39;00m\n\u001B[1;32m 1000\u001B[0m \u001B[38;5;66;03m# If we want to actually tail call to torch.jit.load, we need to\u001B[39;00m\n\u001B[1;32m 1001\u001B[0m \u001B[38;5;66;03m# reset back to the original position.\u001B[39;00m\n\u001B[1;32m 1002\u001B[0m orig_position \u001B[38;5;241m=\u001B[39m opened_file\u001B[38;5;241m.\u001B[39mtell()\n", + "File \u001B[0;32m~/miniforge3/envs/challenge_flatiron/lib/python3.10/site-packages/torch/serialization.py:444\u001B[0m, in \u001B[0;36m_open_file_like\u001B[0;34m(name_or_buffer, mode)\u001B[0m\n\u001B[1;32m 442\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m_open_file_like\u001B[39m(name_or_buffer, mode):\n\u001B[1;32m 443\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m _is_path(name_or_buffer):\n\u001B[0;32m--> 444\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43m_open_file\u001B[49m\u001B[43m(\u001B[49m\u001B[43mname_or_buffer\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mmode\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 445\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 446\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mw\u001B[39m\u001B[38;5;124m'\u001B[39m \u001B[38;5;129;01min\u001B[39;00m mode:\n", + "File \u001B[0;32m~/miniforge3/envs/challenge_flatiron/lib/python3.10/site-packages/torch/serialization.py:425\u001B[0m, in \u001B[0;36m_open_file.__init__\u001B[0;34m(self, name, mode)\u001B[0m\n\u001B[1;32m 424\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m__init__\u001B[39m(\u001B[38;5;28mself\u001B[39m, name, mode):\n\u001B[0;32m--> 425\u001B[0m \u001B[38;5;28msuper\u001B[39m()\u001B[38;5;241m.\u001B[39m\u001B[38;5;21m__init__\u001B[39m(\u001B[38;5;28;43mopen\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mname\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mmode\u001B[49m\u001B[43m)\u001B[49m)\n", + "\u001B[0;31mFileNotFoundError\u001B[0m: [Errno 2] No such file or directory: '/home/flex/Projects/Cryo-EM-Heterogeneity-Challenge-1/tutorials/results/submission_1.pt'" + ] + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": "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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 21 }, { "cell_type": "code", @@ -131,9 +365,9 @@ ], "metadata": { "kernelspec": { - "display_name": "cryo-challenge-kernel", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "cryo-challenge-kernel" + "name": "python3" }, "language_info": { "codemirror_mode": { From 47002d69a532056513787d6bf17bbb9d015b37bc Mon Sep 17 00:00:00 2001 From: DavidHerreros Date: Wed, 19 Jun 2024 07:44:40 +0200 Subject: [PATCH 02/11] File dialogs for all jupyter notebooks --- .../tutorial_distribution2distribution.ipynb | 166 ++++++++++-------- tutorials/tutorial_map2map.ipynb | 165 +++++++++-------- tutorials/tutorial_preprocessing.ipynb | 19 +- tutorials/tutorial_svd.ipynb | 51 +++++- 4 files changed, 233 insertions(+), 168 deletions(-) diff --git a/tutorials/tutorial_distribution2distribution.ipynb b/tutorials/tutorial_distribution2distribution.ipynb index e55654f..472cb9b 100644 --- a/tutorials/tutorial_distribution2distribution.ipynb +++ b/tutorials/tutorial_distribution2distribution.ipynb @@ -10,6 +10,23 @@ "%autoreload 2" ] }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "import os\n", + "import yaml\n", + "import pickle\n", + "from ipyfilechooser import FileChooser\n", + "\n", + "from cryo_challenge.data import validate_input_config_disttodist, validate_config_dtd_optimal_q_kl\n", + "from cryo_challenge.data import DistributionToDistributionResultsValidator\n", + "\n", + "# from cryo_challenge.data._validation.config_validators import validate_input_config_disttodist, validate_config_dtd_optimal_q_kl" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -32,6 +49,19 @@ "Here is an example of the config file" ] }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "# Select path to Distribution to Distribution config file\n", + "# An example of this file is available in the path ../config_files/config_distribution_to_distribution.yaml\n", + "config_d2d_path = FileChooser(os.path.expanduser(\"~\"))\n", + "config_d2d_path.filter_pattern = '*.yaml'\n", + "display(config_d2d_path)" + ] + }, { "cell_type": "code", "execution_count": 2, @@ -57,8 +87,7 @@ } ], "source": [ - "import yaml\n", - "with open('../config_files/config_distribution_to_distribution.yaml', \"r\") as file:\n", + "with open(config_d2d_path.selected_filename, \"r\") as file:\n", " config = yaml.safe_load(file)\n", "\n", "config" @@ -71,17 +100,6 @@ "These docstrings explain what the config file entries are" ] }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "from cryo_challenge.data import validate_input_config_disttodist, validate_config_dtd_optimal_q_kl\n", - "\n", - "# from cryo_challenge.data._validation.config_validators import validate_input_config_disttodist, validate_config_dtd_optimal_q_kl" - ] - }, { "cell_type": "code", "execution_count": 4, @@ -91,8 +109,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_input_config_disttodist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m\n", + "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_input_config_disttodist\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m\n", "Validate the config dictionary.\n", "\n", "input_fname: str, is the path to the map to map distance matrix (output from map2map_pipeline).\n", @@ -103,8 +121,8 @@ "replicate_fraction: float, is the fraction of the data to use for replicates.\n", "cvxpy_solver: str, is the solver to use for CVXPY optimization.\n", "optimal_q_kl: dict, is the optimal_q_kl part of the config.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001b[0;31mType:\u001b[0m function" + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001B[0;31mType:\u001B[0m function" ] } ], @@ -121,14 +139,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_dtd_optimal_q_kl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_optimal_q_kl\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m\n", + "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_dtd_optimal_q_kl\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_optimal_q_kl\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m\n", "Validate the optimal_q_kl part of the config dictionary for the DistributionToDistribution config.\n", "\n", "n_iter: int, is the number of iterations for the optimization.\n", "break_atol: float, is the absolute tolerance for the optimization.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001b[0;31mType:\u001b[0m function" + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001B[0;31mType:\u001B[0m function" ] } ], @@ -174,9 +192,6 @@ "metadata": {}, "outputs": [], "source": [ - "import pickle\n", - "import os\n", - "\n", "with open(os.path.join('../',config[\"output_fname\"]), \"rb\") as f:\n", " results_dict = pickle.load(f)\n" ] @@ -186,10 +201,7 @@ "execution_count": 9, "metadata": {}, "outputs": [], - "source": [ - "from cryo_challenge.data import DistributionToDistributionResultsValidator\n", - "_ = DistributionToDistributionResultsValidator.from_dict(results_dict)" - ] + "source": "_ = DistributionToDistributionResultsValidator.from_dict(results_dict)" }, { "cell_type": "markdown", @@ -207,17 +219,17 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mInit signature:\u001b[0m\n", - "\u001b[0mDistributionToDistributionResultsValidator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0muser_submitted_populations\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mid\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mfsc\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mbioem\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0ml2\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcorr\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m \n", + "\u001B[0;31mInit signature:\u001B[0m\n", + "\u001B[0mDistributionToDistributionResultsValidator\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mconfig\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0muser_submitted_populations\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mtorch\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mTensor\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mid\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mstr\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mfsc\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mbioem\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0ml2\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mcorr\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m \n", "Validate the output dictionary of the distribution-to-distribution pipeline.\n", "\n", "config: dict, input config dictionary.\n", @@ -227,9 +239,9 @@ "bioem: dict, BioEM distance results.\n", "l2: dict, L2 distance results.\n", "corr: dict, correlation distance results.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", - "\u001b[0;31mType:\u001b[0m type\n", - "\u001b[0;31mSubclasses:\u001b[0m " + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", + "\u001B[0;31mType:\u001B[0m type\n", + "\u001B[0;31mSubclasses:\u001B[0m " ] } ], @@ -253,14 +265,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mInit signature:\u001b[0m \u001b[0mMetricDistToDistValidator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreplicates\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m \n", + "\u001B[0;31mInit signature:\u001B[0m \u001B[0mMetricDistToDistValidator\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mreplicates\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m \n", "Validate the output dictionary of one map to map metric in the the distribution-to-distribution pipeline.\n", "\n", "replicates: dict, dictionary of replicates.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", - "\u001b[0;31mType:\u001b[0m type\n", - "\u001b[0;31mSubclasses:\u001b[0m " + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", + "\u001B[0;31mType:\u001B[0m type\n", + "\u001B[0;31mSubclasses:\u001B[0m " ] } ], @@ -294,18 +306,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mInit signature:\u001b[0m\n", - "\u001b[0mReplicateValidatorEMD\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mq_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mEMD_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mtransport_plan_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mflow_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mprob_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mruntime_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mEMD_submitted\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mtransport_plan_submitted\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m \n", + "\u001B[0;31mInit signature:\u001B[0m\n", + "\u001B[0mReplicateValidatorEMD\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mq_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mfloat\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mEMD_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mtransport_plan_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mfloat\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mflow_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mAny\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mprob_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mAny\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mruntime_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mEMD_submitted\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mtransport_plan_submitted\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mfloat\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m \n", "Validate the output dictionary of one EMD in the the distribution-to-distribution pipeline.\n", "\n", "q_opt: List[float], optimal user submitted distribution, which sums to 1.\n", @@ -320,9 +332,9 @@ "transport_plan_submitted: List[List[float]], transport plan between the ground truth distribution (p, rows) and the user submitted distribution (q, columns).\n", " The transport plan is a joint distribution, such that:\n", " summing over the rows gives the user submitted distribution, and summing over the columns gives the ground truth distribution.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", - "\u001b[0;31mType:\u001b[0m type\n", - "\u001b[0;31mSubclasses:\u001b[0m " + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", + "\u001B[0;31mType:\u001B[0m type\n", + "\u001B[0;31mSubclasses:\u001B[0m " ] } ], @@ -339,18 +351,18 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mInit signature:\u001b[0m\n", - "\u001b[0mReplicateValidatorKL\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mq_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mklpq_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mklqp_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mA\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0miter_stop\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0meps_stop\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mklpq_submitted\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mklqp_submitted\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m \n", + "\u001B[0;31mInit signature:\u001B[0m\n", + "\u001B[0mReplicateValidatorKL\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mq_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mfloat\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mklpq_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mklqp_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mA\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mfloat\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0miter_stop\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mint\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0meps_stop\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mklpq_submitted\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mklqp_submitted\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m \n", "Validate the output dictionary of one KL divergence in the the distribution-to-distribution pipeline.\n", "\n", "q_opt: List[float], optimal user submitted distribution, which sums to 1.\n", @@ -361,9 +373,9 @@ "eps_stop: float, stopping criterion.\n", "klpq_submitted: float, KL divergence between the ground truth distribution (p) and the user submitted distribution (q).\n", "klqp_submitted: float, KL divergence between the user submitted distribution (q) and the ground truth distribution (p). \n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", - "\u001b[0;31mType:\u001b[0m type\n", - "\u001b[0;31mSubclasses:\u001b[0m " + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", + "\u001B[0;31mType:\u001B[0m type\n", + "\u001B[0;31mSubclasses:\u001B[0m " ] } ], diff --git a/tutorials/tutorial_map2map.ipynb b/tutorials/tutorial_map2map.ipynb index f331153..f1abf8b 100644 --- a/tutorials/tutorial_map2map.ipynb +++ b/tutorials/tutorial_map2map.ipynb @@ -1,12 +1,44 @@ { "cells": [ { - "cell_type": "markdown", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ - "After you preprocess your data (submission_*.pt), you can compute a map to map distance matrix, for various distance functions, by the following steps." + "import os\n", + "import yaml\n", + "import pickle\n", + "from ipyfilechooser import FileChooser\n", + "\n", + "from cryo_challenge.data._validation.config_validators import (\n", + " validate_input_config_mtm,\n", + " validate_config_mtm_data, \n", + " validate_config_mtm_data_submission, \n", + " validate_config_mtm_data_ground_truth, \n", + " validate_config_mtm_data_mask, \n", + " validate_config_mtm_analysis, \n", + " validate_config_mtm_analysis_normalize, \n", + " )\n", + "from cryo_challenge.data._validation.output_validators import MapToMapResultsValidator\n", + "# from cryo_challenge.data._validation.config_validators import validate_maptomap_result" ] }, + { + "metadata": {}, + "cell_type": "markdown", + "source": "After you preprocess your data (submission_*.pt), you can compute a map to map distance matrix, for various distance functions, by the following steps." + }, { "cell_type": "markdown", "metadata": {}, @@ -22,6 +54,19 @@ "Here is an example of the config file" ] }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "# Select path to Map to Map config file\n", + "# An example of this file is available in the path ../config_files/config_map_to_map.yaml\n", + "config_m2m_path = FileChooser(os.path.expanduser(\"~\"))\n", + "config_m2m_path.filter_pattern = '*.yaml'\n", + "display(config_m2m_path)" + ] + }, { "cell_type": "code", "execution_count": 5, @@ -52,8 +97,7 @@ } ], "source": [ - "import yaml\n", - "with open('../config_files/config_map_to_map_distance_matrix.yaml', \"r\") as file:\n", + "with open(config_m2m_path.selected_filename, \"r\") as file:\n", " config = yaml.safe_load(file)\n", "\n", "config" @@ -66,23 +110,6 @@ "These docstrings explain what the config file entries are" ] }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "from cryo_challenge.data._validation.config_validators import (\n", - " validate_input_config_mtm,\n", - " validate_config_mtm_data, \n", - " validate_config_mtm_data_submission, \n", - " validate_config_mtm_data_ground_truth, \n", - " validate_config_mtm_data_mask, \n", - " validate_config_mtm_analysis, \n", - " validate_config_mtm_analysis_normalize, \n", - " )" - ] - }, { "cell_type": "code", "execution_count": 13, @@ -92,15 +119,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_input_config_mtm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m\n", + "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_input_config_mtm\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m\n", "Validate the config dictionary for the MapToMap config.\n", "\n", "data: dict, is the data part of the config.\n", "analysis: dict, is the analysis part of the config.\n", "output: str, is the path to the output file.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001b[0;31mType:\u001b[0m function" + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001B[0;31mType:\u001B[0m function" ] } ], @@ -117,14 +144,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_data_ground_truth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_data_ground_truth\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m\n", + "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_mtm_data_ground_truth\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_data_ground_truth\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m\n", "Validate the ground truth part of the config dictionary for the MapToMap config.\n", "\n", "volumes: str, is the path to the ground truth volume (.pt) file.\n", "metadata: str, is the path to the ground truth metadata (.csv) file.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001b[0;31mType:\u001b[0m function" + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001B[0;31mType:\u001B[0m function" ] } ], @@ -150,14 +177,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_data_mask\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_data_mask\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m\n", + "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_mtm_data_mask\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_data_mask\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m\n", "Validate the mask part of the config dictionary for the MapToMap config.\n", "\n", "do: bool, is a flag to indicate whether to use a mask.\n", "volume: str, is the path to the mask volume (.mrc) file.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001b[0;31mType:\u001b[0m function" + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001B[0;31mType:\u001B[0m function" ] } ], @@ -174,8 +201,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_data\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m\n", + "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_mtm_data\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_data\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m\n", "Validate the data part of the config dictionary for the MapToMap config.\n", "\n", "n_pix: int, is the number of pixels in each dimension of the volume.\n", @@ -183,8 +210,8 @@ "submission: dict, is the submission part of the config.\n", "ground_truth: dict, is the ground truth part of the config.\n", "mask: dict, is the mask part of the config.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001b[0;31mType:\u001b[0m function" + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001B[0;31mType:\u001B[0m function" ] } ], @@ -201,16 +228,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_analysis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_analysis\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m\n", + "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_mtm_analysis\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_analysis\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m\n", "Validate the analysis part of the config dictionary for the MapToMap config.\n", "\n", "metrics: list, is a list of metrics to compute.\n", "chunk_size_submission: int, is the chunk size for the submission volume.\n", "chunk_size_gt: int, is the chunk size for the ground truth volume.\n", "normalize: dict, is the normalize part of the analysis part of the config.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001b[0;31mType:\u001b[0m function" + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001B[0;31mType:\u001B[0m function" ] } ], @@ -227,14 +254,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_analysis_normalize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_analysis_normalize\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m\n", + "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_mtm_analysis_normalize\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_analysis_normalize\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m\n", "Validate the normalize part of the analysis part of the config dictionary for the MapToMap config.\n", "\n", "do: bool, is a flag to indicate whether to normalize the volumes.\n", "method: str, is the method to use for normalization.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001b[0;31mType:\u001b[0m function" + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001B[0;31mType:\u001B[0m function" ] } ], @@ -280,9 +307,6 @@ "metadata": {}, "outputs": [], "source": [ - "import pickle\n", - "import os\n", - "\n", "with open(os.path.join('../',config[\"output\"]), \"rb\") as f:\n", " results_dict = pickle.load(f)\n" ] @@ -292,10 +316,7 @@ "execution_count": 11, "metadata": {}, "outputs": [], - "source": [ - "from cryo_challenge.data._validation.output_validators import MapToMapResultsValidator\n", - "_ = MapToMapResultsValidator.from_dict(results_dict)" - ] + "source": "_ = MapToMapResultsValidator.from_dict(results_dict)" }, { "cell_type": "markdown", @@ -313,16 +334,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mInit signature:\u001b[0m\n", - "\u001b[0mMapToMapResultsValidator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0muser_submitted_populations\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mcorr\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0ml2\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mbioem\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m \u001b[0mfsc\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", - "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m \n", + "\u001B[0;31mInit signature:\u001B[0m\n", + "\u001B[0mMapToMapResultsValidator\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mconfig\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0muser_submitted_populations\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mtorch\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mTensor\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mcorr\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0ml2\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mbioem\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m \u001B[0mfsc\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", + "\u001B[0;34m\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m \n", "Validate the output dictionary of the map-to-map distance matrix computation.\n", "\n", "config: dict, input config dictionary.\n", @@ -331,9 +352,9 @@ "l2: dict, L2 results.\n", "bioem: dict, BioEM results.\n", "fsc: dict, FSC results.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", - "\u001b[0;31mType:\u001b[0m type\n", - "\u001b[0;31mSubclasses:\u001b[0m " + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", + "\u001B[0;31mType:\u001B[0m type\n", + "\u001B[0;31mSubclasses:\u001B[0m " ] } ], @@ -357,23 +378,19 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_maptomap_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput_dict\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mDocstring:\u001b[0m\n", + "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_maptomap_result\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0moutput_dict\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", + "\u001B[0;31mDocstring:\u001B[0m\n", "Validate the output dictionary of the map-to-map distance matrix computation.\n", "\n", "cost_matrix: pd.DataFrame, is the cost matrix, with ground truth rows and submission columns.\n", "user_submission_label: str, is the label of the submission.\n", "computed_assets: dict, is a dictionary of computed assets, which can be re-used in other analyses.\n", - "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001b[0;31mType:\u001b[0m function" + "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001B[0;31mType:\u001B[0m function" ] } ], - "source": [ - "from cryo_challenge.data._validation.config_validators import validate_maptomap_result\n", - "\n", - "validate_maptomap_result?\n" - ] + "source": "validate_maptomap_result?\n" } ], "metadata": { diff --git a/tutorials/tutorial_preprocessing.ipynb b/tutorials/tutorial_preprocessing.ipynb index 3a7b221..c1469c1 100644 --- a/tutorials/tutorial_preprocessing.ipynb +++ b/tutorials/tutorial_preprocessing.ipynb @@ -4,8 +4,8 @@ "cell_type": "code", "metadata": { "ExecuteTime": { - "end_time": "2024-06-13T07:27:34.530526Z", - "start_time": "2024-06-13T07:27:34.505286Z" + "end_time": "2024-06-17T15:40:12.854854Z", + "start_time": "2024-06-17T15:40:12.829426Z" } }, "source": [ @@ -19,8 +19,8 @@ "cell_type": "code", "metadata": { "ExecuteTime": { - "end_time": "2024-06-13T07:27:36.113710Z", - "start_time": "2024-06-13T07:27:34.532295Z" + "end_time": "2024-06-17T15:40:20.557563Z", + "start_time": "2024-06-17T15:40:18.847242Z" } }, "source": [ @@ -52,8 +52,8 @@ { "metadata": { "ExecuteTime": { - "end_time": "2024-06-13T07:40:06.603104Z", - "start_time": "2024-06-13T07:40:06.536721Z" + "end_time": "2024-06-17T15:40:28.587603Z", + "start_time": "2024-06-17T15:40:28.496607Z" } }, "cell_type": "code", @@ -72,14 +72,14 @@ "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, - "model_id": "079b8d53900448108b5ec92c319b563c" + "model_id": "57c38a25370d49638e404e1cd6384aab" } }, "metadata": {}, "output_type": "display_data" } ], - "execution_count": 11 + "execution_count": 3 }, { "metadata": { @@ -257,7 +257,8 @@ }, "cell_type": "code", "source": [ - "# Select path to Config\n", + "# Select path to Config file\n", + "# An example of this file is available in the path ../config_files/config_preproc.yaml\n", "config_preproc_path = FileChooser(os.path.expanduser(\"~\"))\n", "config_preproc_path.filter_pattern = '*.yaml'\n", "display(config_preproc_path)" diff --git a/tutorials/tutorial_svd.ipynb b/tutorials/tutorial_svd.ipynb index 88668c7..bb501d0 100644 --- a/tutorials/tutorial_svd.ipynb +++ b/tutorials/tutorial_svd.ipynb @@ -16,11 +16,13 @@ "metadata": {}, "outputs": [], "source": [ + "import os\n", "import torch\n", "import yaml\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", - "import numpy as np" + "import numpy as np\n", + "from ipyfilechooser import FileChooser" ] }, { @@ -36,13 +38,26 @@ "First I will load the example config file we provided so we can look at the keys it has" ] }, + { + "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, + "source": [ + "# Select path to SVD config file\n", + "# An example of this file is available in the path ../config_files/config_svd.yaml\n", + "config_svd_path = FileChooser(os.path.expanduser(\"~\"))\n", + "config_svd_path.filter_pattern = '*.yaml'\n", + "display(config_svd_path)" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "with open(\"../config_files/config_svd.yaml\", \"r\") as f:\n", + "with open(config_svd_path.selected_filename, \"r\") as f:\n", " config_example = yaml.safe_load(f)" ] }, @@ -88,14 +103,24 @@ ] }, { - "cell_type": "code", - "execution_count": null, "metadata": {}, + "cell_type": "code", "outputs": [], + "execution_count": null, "source": [ - "data_svd_vs_gt = torch.load(\"/path/to/results/svd_results.pt\")" + "# Select path to SVD results\n", + "svd_results_path = FileChooser(os.path.expanduser(\"~\"))\n", + "svd_results_path.filter_pattern = '*.pt'\n", + "display(svd_results_path)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "data_svd_vs_gt = torch.load(svd_results_path.selected_filename)" + }, { "cell_type": "markdown", "metadata": {}, @@ -267,14 +292,24 @@ ] }, { - "cell_type": "code", - "execution_count": null, "metadata": {}, + "cell_type": "code", "outputs": [], + "execution_count": null, "source": [ - "data_svd_all_vs_all = torch.load(\"/path/to/results/svd_results.pt\")" + "# Select path to SVD results\n", + "svd_all_vs_all_results_path = FileChooser(os.path.expanduser(\"~\"))\n", + "svd_all_vs_all_results_path.filter_pattern = '*.pt'\n", + "display(svd_all_vs_all_results_path)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "data_svd_all_vs_all = torch.load(svd_all_vs_all_results_path.selected_filename)" + }, { "cell_type": "markdown", "metadata": {}, From f03e449eb8de62c844b9ad065a6ca656ef4fae8f Mon Sep 17 00:00:00 2001 From: DavidHerreros Date: Wed, 19 Jun 2024 07:45:49 +0200 Subject: [PATCH 03/11] Update gitignore --- .gitignore | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.gitignore b/.gitignore index 68bc17f..d7aaad0 100644 --- a/.gitignore +++ b/.gitignore @@ -158,3 +158,9 @@ cython_debug/ # and can be added to the global gitignore or merged into this file. For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. #.idea/ + +# Tutorials folder +tutorials/* + +# Config file templates +config_files/* From f8ce681dad125fbf6c112c407aaae9e74457d338 Mon Sep 17 00:00:00 2001 From: Geoffrey Woollard Date: Mon, 24 Jun 2024 16:44:23 -0400 Subject: [PATCH 04/11] need full path in onfig_m2m_path.value --- tutorials/3_tutorial_map2map.ipynb | 198 ++++++++--------------------- 1 file changed, 54 insertions(+), 144 deletions(-) diff --git a/tutorials/3_tutorial_map2map.ipynb b/tutorials/3_tutorial_map2map.ipynb index f1abf8b..2e59d8a 100644 --- a/tutorials/3_tutorial_map2map.ipynb +++ b/tutorials/3_tutorial_map2map.ipynb @@ -1,20 +1,20 @@ { "cells": [ { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { - "metadata": {}, "cell_type": "code", + "execution_count": 31, + "metadata": {}, "outputs": [], - "execution_count": null, "source": [ "import os\n", "import yaml\n", @@ -31,13 +31,15 @@ " validate_config_mtm_analysis_normalize, \n", " )\n", "from cryo_challenge.data._validation.output_validators import MapToMapResultsValidator\n", - "# from cryo_challenge.data._validation.config_validators import validate_maptomap_result" + "from cryo_challenge.data._validation.config_validators import validate_maptomap_result" ] }, { - "metadata": {}, "cell_type": "markdown", - "source": "After you preprocess your data (submission_*.pt), you can compute a map to map distance matrix, for various distance functions, by the following steps." + "metadata": {}, + "source": [ + "After you preprocess your data (submission_*.pt), you can compute a map to map distance matrix, for various distance functions, by the following steps." + ] }, { "cell_type": "markdown", @@ -55,10 +57,10 @@ ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# Select path to Map to Map config file\n", "# An example of this file is available in the path ../config_files/config_map_to_map.yaml\n", @@ -69,7 +71,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -91,13 +93,13 @@ " 'output': 'results/map_to_map_distance_matrix_submission_0.pkl'}" ] }, - "execution_count": 5, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "with open(config_m2m_path.selected_filename, \"r\") as file:\n", + "with open(config_m2m_path.value, \"r\") as file:\n", " config = yaml.safe_load(file)\n", "\n", "config" @@ -112,49 +114,18 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_input_config_mtm\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m\n", - "Validate the config dictionary for the MapToMap config.\n", - "\n", - "data: dict, is the data part of the config.\n", - "analysis: dict, is the analysis part of the config.\n", - "output: str, is the path to the output file.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001B[0;31mType:\u001B[0m function" - ] - } - ], + "outputs": [], "source": [ "validate_input_config_mtm?" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_mtm_data_ground_truth\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_data_ground_truth\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m\n", - "Validate the ground truth part of the config dictionary for the MapToMap config.\n", - "\n", - "volumes: str, is the path to the ground truth volume (.pt) file.\n", - "metadata: str, is the path to the ground truth metadata (.csv) file.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001B[0;31mType:\u001B[0m function" - ] - } - ], + "outputs": [], "source": [ "validate_config_mtm_data_submission?" ] @@ -170,101 +141,36 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_mtm_data_mask\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_data_mask\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m\n", - "Validate the mask part of the config dictionary for the MapToMap config.\n", - "\n", - "do: bool, is a flag to indicate whether to use a mask.\n", - "volume: str, is the path to the mask volume (.mrc) file.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001B[0;31mType:\u001B[0m function" - ] - } - ], + "outputs": [], "source": [ "validate_config_mtm_data_mask?" ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_mtm_data\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_data\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m\n", - "Validate the data part of the config dictionary for the MapToMap config.\n", - "\n", - "n_pix: int, is the number of pixels in each dimension of the volume.\n", - "psize: float, is the pixel size of the volume in Angstroms.\n", - "submission: dict, is the submission part of the config.\n", - "ground_truth: dict, is the ground truth part of the config.\n", - "mask: dict, is the mask part of the config.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001B[0;31mType:\u001B[0m function" - ] - } - ], + "outputs": [], "source": [ "validate_config_mtm_data?" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_mtm_analysis\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_analysis\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m\n", - "Validate the analysis part of the config dictionary for the MapToMap config.\n", - "\n", - "metrics: list, is a list of metrics to compute.\n", - "chunk_size_submission: int, is the chunk size for the submission volume.\n", - "chunk_size_gt: int, is the chunk size for the ground truth volume.\n", - "normalize: dict, is the normalize part of the analysis part of the config.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001B[0;31mType:\u001B[0m function" - ] - } - ], + "outputs": [], "source": [ "validate_config_mtm_analysis?" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_mtm_analysis_normalize\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_analysis_normalize\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m\n", - "Validate the normalize part of the analysis part of the config dictionary for the MapToMap config.\n", - "\n", - "do: bool, is a flag to indicate whether to normalize the volumes.\n", - "method: str, is the method to use for normalization.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001B[0;31mType:\u001B[0m function" - ] - } - ], + "outputs": [], "source": [ "validate_config_mtm_analysis_normalize?" ] @@ -278,7 +184,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -303,7 +209,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ @@ -313,10 +219,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 28, "metadata": {}, "outputs": [], - "source": "_ = MapToMapResultsValidator.from_dict(results_dict)" + "source": [ + "_ = MapToMapResultsValidator.from_dict(results_dict)" + ] }, { "cell_type": "markdown", @@ -327,23 +235,23 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[0;31mInit signature:\u001B[0m\n", - "\u001B[0mMapToMapResultsValidator\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mconfig\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0muser_submitted_populations\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mtorch\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mTensor\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mcorr\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0ml2\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mbioem\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mfsc\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m \n", + "\u001b[0;31mInit signature:\u001b[0m\n", + "\u001b[0mMapToMapResultsValidator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0muser_submitted_populations\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcorr\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0ml2\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mbioem\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mfsc\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m \n", "Validate the output dictionary of the map-to-map distance matrix computation.\n", "\n", "config: dict, input config dictionary.\n", @@ -352,9 +260,9 @@ "l2: dict, L2 results.\n", "bioem: dict, BioEM results.\n", "fsc: dict, FSC results.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", - "\u001B[0;31mType:\u001B[0m type\n", - "\u001B[0;31mSubclasses:\u001B[0m " + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", + "\u001b[0;31mType:\u001b[0m type\n", + "\u001b[0;31mSubclasses:\u001b[0m " ] } ], @@ -371,26 +279,28 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_maptomap_result\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0moutput_dict\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m\n", + "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_maptomap_result\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput_dict\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m\n", "Validate the output dictionary of the map-to-map distance matrix computation.\n", "\n", "cost_matrix: pd.DataFrame, is the cost matrix, with ground truth rows and submission columns.\n", "user_submission_label: str, is the label of the submission.\n", "computed_assets: dict, is a dictionary of computed assets, which can be re-used in other analyses.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001B[0;31mType:\u001B[0m function" + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001b[0;31mType:\u001b[0m function" ] } ], - "source": "validate_maptomap_result?\n" + "source": [ + "validate_maptomap_result?" + ] } ], "metadata": { From eabdad495497fe242e34a09a583a8e8bd8a5ef9e Mon Sep 17 00:00:00 2001 From: Geoffrey Woollard Date: Mon, 24 Jun 2024 16:47:41 -0400 Subject: [PATCH 05/11] need full path in onfig_m2m_path.value --- ...4_tutorial_distribution2distribution.ipynb | 176 +++++++++--------- 1 file changed, 89 insertions(+), 87 deletions(-) diff --git a/tutorials/4_tutorial_distribution2distribution.ipynb b/tutorials/4_tutorial_distribution2distribution.ipynb index 472cb9b..652a6ed 100644 --- a/tutorials/4_tutorial_distribution2distribution.ipynb +++ b/tutorials/4_tutorial_distribution2distribution.ipynb @@ -2,19 +2,28 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 21, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { - "metadata": {}, "cell_type": "code", + "execution_count": 22, + "metadata": {}, "outputs": [], - "execution_count": null, "source": [ "import os\n", "import yaml\n", @@ -22,9 +31,7 @@ "from ipyfilechooser import FileChooser\n", "\n", "from cryo_challenge.data import validate_input_config_disttodist, validate_config_dtd_optimal_q_kl\n", - "from cryo_challenge.data import DistributionToDistributionResultsValidator\n", - "\n", - "# from cryo_challenge.data._validation.config_validators import validate_input_config_disttodist, validate_config_dtd_optimal_q_kl" + "from cryo_challenge.data import DistributionToDistributionResultsValidator" ] }, { @@ -50,10 +57,10 @@ ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "# Select path to Distribution to Distribution config file\n", "# An example of this file is available in the path ../config_files/config_distribution_to_distribution.yaml\n", @@ -64,7 +71,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -81,13 +88,13 @@ " 'output_fname': 'results/distribution_to_distribution_submission_0.pkl'}" ] }, - "execution_count": 2, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "with open(config_d2d_path.selected_filename, \"r\") as file:\n", + "with open(config_d2d_path.value, \"r\") as file:\n", " config = yaml.safe_load(file)\n", "\n", "config" @@ -102,15 +109,15 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_input_config_disttodist\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m\n", + "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_input_config_disttodist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m\n", "Validate the config dictionary.\n", "\n", "input_fname: str, is the path to the map to map distance matrix (output from map2map_pipeline).\n", @@ -121,8 +128,8 @@ "replicate_fraction: float, is the fraction of the data to use for replicates.\n", "cvxpy_solver: str, is the solver to use for CVXPY optimization.\n", "optimal_q_kl: dict, is the optimal_q_kl part of the config.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001B[0;31mType:\u001B[0m function" + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001b[0;31mType:\u001b[0m function" ] } ], @@ -132,21 +139,21 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[0;31mSignature:\u001B[0m \u001B[0mvalidate_config_dtd_optimal_q_kl\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mconfig_optimal_q_kl\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m\n", + "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_dtd_optimal_q_kl\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_optimal_q_kl\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m\n", "Validate the optimal_q_kl part of the config dictionary for the DistributionToDistribution config.\n", "\n", "n_iter: int, is the number of iterations for the optimization.\n", "break_atol: float, is the absolute tolerance for the optimization.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", - "\u001B[0;31mType:\u001B[0m function" + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001b[0;31mType:\u001b[0m function" ] } ], @@ -163,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -188,7 +195,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -198,10 +205,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 27, "metadata": {}, "outputs": [], - "source": "_ = DistributionToDistributionResultsValidator.from_dict(results_dict)" + "source": [ + "_ = DistributionToDistributionResultsValidator.from_dict(results_dict)" + ] }, { "cell_type": "markdown", @@ -212,24 +221,24 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 28, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[0;31mInit signature:\u001B[0m\n", - "\u001B[0mDistributionToDistributionResultsValidator\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mconfig\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0muser_submitted_populations\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mtorch\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mTensor\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mid\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mstr\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mfsc\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mbioem\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0ml2\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mcorr\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mUnion\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mdict\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mNoneType\u001B[0m\u001B[0;34m]\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m \n", + "\u001b[0;31mInit signature:\u001b[0m\n", + "\u001b[0mDistributionToDistributionResultsValidator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mconfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0muser_submitted_populations\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTensor\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mid\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mfsc\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mbioem\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0ml2\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mcorr\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mUnion\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNoneType\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m \n", "Validate the output dictionary of the distribution-to-distribution pipeline.\n", "\n", "config: dict, input config dictionary.\n", @@ -239,9 +248,9 @@ "bioem: dict, BioEM distance results.\n", "l2: dict, L2 distance results.\n", "corr: dict, correlation distance results.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", - "\u001B[0;31mType:\u001B[0m type\n", - "\u001B[0;31mSubclasses:\u001B[0m " + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", + "\u001b[0;31mType:\u001b[0m type\n", + "\u001b[0;31mSubclasses:\u001b[0m " ] } ], @@ -258,21 +267,21 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[0;31mInit signature:\u001B[0m \u001B[0mMetricDistToDistValidator\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mreplicates\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mdict\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m \n", + "\u001b[0;31mInit signature:\u001b[0m \u001b[0mMetricDistToDistValidator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreplicates\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m \n", "Validate the output dictionary of one map to map metric in the the distribution-to-distribution pipeline.\n", "\n", "replicates: dict, dictionary of replicates.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", - "\u001B[0;31mType:\u001B[0m type\n", - "\u001B[0;31mSubclasses:\u001B[0m " + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", + "\u001b[0;31mType:\u001b[0m type\n", + "\u001b[0;31mSubclasses:\u001b[0m " ] } ], @@ -290,7 +299,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -299,25 +308,25 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[0;31mInit signature:\u001B[0m\n", - "\u001B[0mReplicateValidatorEMD\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mq_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mfloat\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mEMD_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mtransport_plan_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mfloat\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mflow_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mAny\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mprob_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mAny\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mruntime_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mEMD_submitted\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mtransport_plan_submitted\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mfloat\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m \n", + "\u001b[0;31mInit signature:\u001b[0m\n", + "\u001b[0mReplicateValidatorEMD\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mq_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mEMD_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mtransport_plan_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mflow_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mprob_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mruntime_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mEMD_submitted\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mtransport_plan_submitted\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m \n", "Validate the output dictionary of one EMD in the the distribution-to-distribution pipeline.\n", "\n", "q_opt: List[float], optimal user submitted distribution, which sums to 1.\n", @@ -332,9 +341,9 @@ "transport_plan_submitted: List[List[float]], transport plan between the ground truth distribution (p, rows) and the user submitted distribution (q, columns).\n", " The transport plan is a joint distribution, such that:\n", " summing over the rows gives the user submitted distribution, and summing over the columns gives the ground truth distribution.\n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", - "\u001B[0;31mType:\u001B[0m type\n", - "\u001B[0;31mSubclasses:\u001B[0m " + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", + "\u001b[0;31mType:\u001b[0m type\n", + "\u001b[0;31mSubclasses:\u001b[0m " ] } ], @@ -344,25 +353,25 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001B[0;31mInit signature:\u001B[0m\n", - "\u001B[0mReplicateValidatorKL\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mq_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mfloat\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mklpq_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mklqp_opt\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mA\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mList\u001B[0m\u001B[0;34m[\u001B[0m\u001B[0mfloat\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m]\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0miter_stop\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mint\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0meps_stop\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mklpq_submitted\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m \u001B[0mklqp_submitted\u001B[0m\u001B[0;34m:\u001B[0m \u001B[0mfloat\u001B[0m\u001B[0;34m,\u001B[0m\u001B[0;34m\u001B[0m\n", - "\u001B[0;34m\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0;32mNone\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n", - "\u001B[0;31mDocstring:\u001B[0m \n", + "\u001b[0;31mInit signature:\u001b[0m\n", + "\u001b[0mReplicateValidatorKL\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mq_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mklpq_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mklqp_opt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mA\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mList\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0miter_stop\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0meps_stop\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mklpq_submitted\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m \u001b[0mklqp_submitted\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n", + "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m \n", "Validate the output dictionary of one KL divergence in the the distribution-to-distribution pipeline.\n", "\n", "q_opt: List[float], optimal user submitted distribution, which sums to 1.\n", @@ -373,22 +382,15 @@ "eps_stop: float, stopping criterion.\n", "klpq_submitted: float, KL divergence between the ground truth distribution (p) and the user submitted distribution (q).\n", "klqp_submitted: float, KL divergence between the user submitted distribution (q) and the ground truth distribution (p). \n", - "\u001B[0;31mFile:\u001B[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", - "\u001B[0;31mType:\u001B[0m type\n", - "\u001B[0;31mSubclasses:\u001B[0m " + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/output_validators.py\n", + "\u001b[0;31mType:\u001b[0m type\n", + "\u001b[0;31mSubclasses:\u001b[0m " ] } ], "source": [ "ReplicateValidatorKL?" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From 4952e3060e3c80aed36795fcb1786d89e28b1fed Mon Sep 17 00:00:00 2001 From: Geoffrey Woollard Date: Mon, 24 Jun 2024 16:48:53 -0400 Subject: [PATCH 06/11] need full path in onfig_m2m_path.value --- tutorials/3_tutorial_map2map.ipynb | 176 +++++++++++++++++++++++++---- 1 file changed, 152 insertions(+), 24 deletions(-) diff --git a/tutorials/3_tutorial_map2map.ipynb b/tutorials/3_tutorial_map2map.ipynb index 2e59d8a..37102ed 100644 --- a/tutorials/3_tutorial_map2map.ipynb +++ b/tutorials/3_tutorial_map2map.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -58,9 +58,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f2eb3eb2f1a9461b8d5b3dd735bbcab8", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FileChooser(path='/mnt/home/gwoollard', filename='', title='', show_hidden=False, select_desc='Select', change…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Select path to Map to Map config file\n", "# An example of this file is available in the path ../config_files/config_map_to_map.yaml\n", @@ -71,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -93,7 +108,7 @@ " 'output': 'results/map_to_map_distance_matrix_submission_0.pkl'}" ] }, - "execution_count": 26, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -114,63 +129,176 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_input_config_mtm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m\n", + "Validate the config dictionary for the MapToMap config.\n", + "\n", + "data: dict, is the data part of the config.\n", + "analysis: dict, is the analysis part of the config.\n", + "output: str, is the path to the output file.\n", + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] + } + ], "source": [ "validate_input_config_mtm?" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_data_submission\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_data_submission\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m\n", + "Validate the submission part of the config dictionary for the MapToMap config.\n", + "\n", + "fname: str, is the path to the submission file (submission_*.pt).\n", + "volume_key: str, is the key in the submission file that contains the volume.\n", + "metadata_key: str, is the key in the submission file that contains the metadata.\n", + "label_key: str, is the key in the submission file that contains the (anonymizing) label.\n", + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] + } + ], "source": [ "validate_config_mtm_data_submission?" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_data_ground_truth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_data_ground_truth\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m\n", + "Validate the ground truth part of the config dictionary for the MapToMap config.\n", + "\n", + "volumes: str, is the path to the ground truth volume (.pt) file.\n", + "metadata: str, is the path to the ground truth metadata (.csv) file.\n", + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] + } + ], "source": [ "validate_config_mtm_data_ground_truth?" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_data_mask\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_data_mask\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m\n", + "Validate the mask part of the config dictionary for the MapToMap config.\n", + "\n", + "do: bool, is a flag to indicate whether to use a mask.\n", + "volume: str, is the path to the mask volume (.mrc) file.\n", + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] + } + ], "source": [ "validate_config_mtm_data_mask?" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_data\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m\n", + "Validate the data part of the config dictionary for the MapToMap config.\n", + "\n", + "n_pix: int, is the number of pixels in each dimension of the volume.\n", + "psize: float, is the pixel size of the volume in Angstroms.\n", + "submission: dict, is the submission part of the config.\n", + "ground_truth: dict, is the ground truth part of the config.\n", + "mask: dict, is the mask part of the config.\n", + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] + } + ], "source": [ "validate_config_mtm_data?" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_analysis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_analysis\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m\n", + "Validate the analysis part of the config dictionary for the MapToMap config.\n", + "\n", + "metrics: list, is a list of metrics to compute.\n", + "chunk_size_submission: int, is the chunk size for the submission volume.\n", + "chunk_size_gt: int, is the chunk size for the ground truth volume.\n", + "normalize: dict, is the normalize part of the analysis part of the config.\n", + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] + } + ], "source": [ "validate_config_mtm_analysis?" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[0;31mSignature:\u001b[0m \u001b[0mvalidate_config_mtm_analysis_normalize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mconfig_analysis_normalize\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mDocstring:\u001b[0m\n", + "Validate the normalize part of the analysis part of the config dictionary for the MapToMap config.\n", + "\n", + "do: bool, is a flag to indicate whether to normalize the volumes.\n", + "method: str, is the method to use for normalization.\n", + "\u001b[0;31mFile:\u001b[0m /mnt/ceph/users/gwoollard/repos/Cryo-EM-Heterogeneity-Challenge-1/src/cryo_challenge/data/_validation/config_validators.py\n", + "\u001b[0;31mType:\u001b[0m function" + ] + } + ], "source": [ "validate_config_mtm_analysis_normalize?" ] @@ -184,7 +312,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -209,7 +337,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -219,7 +347,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -235,7 +363,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -279,7 +407,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 27, "metadata": {}, "outputs": [ { From cfdab44ee302b59d634bd2bc7356f75e9c71f5d3 Mon Sep 17 00:00:00 2001 From: Geoffrey Woollard Date: Mon, 24 Jun 2024 18:25:54 -0400 Subject: [PATCH 07/11] remove numpy reference, interactive paths.value for full path --- tutorials/2_tutorial_svd.ipynb | 226 +++++++++++++++++++++++++++------ 1 file changed, 190 insertions(+), 36 deletions(-) diff --git a/tutorials/2_tutorial_svd.ipynb b/tutorials/2_tutorial_svd.ipynb index bb501d0..98d1448 100644 --- a/tutorials/2_tutorial_svd.ipynb +++ b/tutorials/2_tutorial_svd.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -39,10 +39,25 @@ ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], - "execution_count": null, + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6b3f02a47a2c4cac93ddec74a554574d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FileChooser(path='/mnt/home/gwoollard', filename='', title='', show_hidden=False, select_desc='Select', change…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Select path to SVD config file\n", "# An example of this file is available in the path ../config_files/config_svd.yaml\n", @@ -53,19 +68,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ - "with open(config_svd_path.selected_filename, \"r\") as f:\n", + "with open(config_svd_path.value, \"r\") as f:\n", " config_example = yaml.safe_load(f)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "keys for config: dict_keys(['path_to_volumes', 'box_size_ds', 'submission_list', 'experiment_mode', 'path_to_reference', 'dtype', 'output_options'])\n", + "keys for output_options: dict_keys(['output_path', 'save_volumes', 'save_svd_matrices'])\n" + ] + } + ], "source": [ "print(f\"keys for config: {config_example.keys()}\")\n", "print(f\"keys for output_options: {config_example['output_options'].keys()}\")" @@ -103,10 +127,25 @@ ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], - "execution_count": null, + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "6a7946f94c314c6e84f7fd4519379f16", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FileChooser(path='/mnt/home/gwoollard', filename='', title='', show_hidden=False, select_desc='Select', change…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Select path to SVD results\n", "svd_results_path = FileChooser(os.path.expanduser(\"~\"))\n", @@ -116,10 +155,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], - "source": "data_svd_vs_gt = torch.load(svd_results_path.selected_filename)" + "source": [ + "data_svd_vs_gt = torch.load(svd_results_path.value)" + ] }, { "cell_type": "markdown", @@ -130,18 +171,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['coeffs', 'coeffs_ref', 'metadata', 'config', 'volumes', 'mean_volumes', 'ref_volumes', 'mean_ref_volume', 'U', 'S', 'V'])" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data_svd_vs_gt.keys()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['n_vols', 'populations', 'indices'])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data_svd_vs_gt[\"metadata\"][\"Salted Caramel\"].keys()" ] @@ -186,9 +249,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.92, \"Set2: Projection of each submission onto GT's SVD\")" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAB2UAAATqCAYAAABm7rpSAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd3gU1QIF8DNb0xOSAAkQCCAISif03puKICoWiqBSRMAKitKsYENUFAtFQUV9KiJYkKIoVelIUwk1EEgI6dvmvj9mZ7Kb3SSbRgrn9308X3an3JmdnbMz9869khBCgIiIiIiIiIiIiIiIiIiISoWurAtARERERERERERERERERFSZsVKWiIiIiIiIiIiIiIiIiKgUsVKWiIiIiIiIiIiIiIiIiKgUsVKWiIiIiIiIiIiIiIiIiKgUsVKWiIiIiIiIiIiIiIiIiKgUsVKWiIiIiIiIiIiIiIiIiKgUsVKWiIiIiIiIiIiIiIiIiKgUsVKWiIiIiIiIiIiIiIiIiKgUsVKWiIiIiIiIiIiIiIiIiKgUsVKWiIiIiIh8tmzZMkiShNGjR5d1UfI0e/ZsSJKE2bNnl3VRSsW+fftw0003ITw8HDqdDpIkYfPmzWVdrGKpyJ9Z9+7dy9VnEBsbC0mSEB8ff9XWWRHOC0RERERERGWNlbJEREREVO6dOnUKjz76KJo0aYLAwED4+/ujdu3a6NixI5544gn89NNPJbKelJQUzJ49GwsWLMhzmkuXLuH999/HsGHDULduXZjNZgQHB6NVq1aYO3curly5UiJlcTV69GhIkuT2z2g0Ijo6Grfccgt++OGHEl9neRUfH4/Zs2dj2bJlZV2UMpGYmIgePXpg7dq1CAgIQIcOHdCpUyeEhoaWddGIyMWyZcswe/bsq1o57spms2HZsmUYMmQI6tSpg4CAAAQEBKBOnTq45ZZb8M477+DixYva9GplfmH+xcbGavPn/ru0bN++Hffeey9iY2Ph5+eH4OBgXHfddejbty9eeOEF7N+/X5u2Y8eOkCQJM2bM8GnZkydPhiRJGDRokPaa2ujC9V9QUBBq1qyJbt264fHHH8fOnTtLfDuJiIiIqHIylHUBiIiIiIjys3HjRtx6661IS0uDXq9HTEwMqlWrhuTkZGzfvh3btm3D0qVLcenSpWKvKyUlBXPmzEGdOnUwdepUr9MMGTIEv//+OwCgSpUqaNKkCZKTk7F3717s2bMHS5YswcaNG1GvXr1ilye3atWqoUGDBgCA7OxsHDt2DGvWrMGaNWvw1FNP4cUXXyzxdeYWGhqK66+/HtHR0aW+Lm/i4+MxZ84cdOvWLc+n8iIjI3H99dcjMjLy6hbuKvj8889x+fJlDB48GF9//TV0OrazJXf169eHn58fjEbjVVtnWZ8XyqNly5bh119/Rffu3a9KZaWr3bt34/bbb8d///0HAAgPD0fDhg2h1+tx9uxZLTeefPJJvP3227jvvvvQpk0b1KpVy205FosFf/75JwAgLi4OZrPZ7f2r/XnPmzcPTz31FIQQ8PPzQ2xsLEJCQnD27FmsX78e69evx549e/DVV18BAEaOHIlt27bh008/xfPPPw9JkvJctt1ux6pVqwAAI0aM8Hg/JiYGtWvXBgBYrVYkJyfj999/x2+//YbXXnsN3bt3x7Jly1CnTp1S2HIiIiIiqixYKUtERERE5VZqairuvPNOpKWlYdCgQXjnnXfcbnimpKRg9erV+OKLL65amfR6PUaNGoUJEyagbdu22k3ePXv24M4778Tx48dx5513YteuXSW+7gEDBrg9IWq1WjFjxgy8+uqreOmll3DzzTejQ4cOJb5eV0OGDMGQIUNKdR3FNWnSJEyaNKmsi1Eqjhw5AgDo168fK2TJqw0bNlz1dVaE88K14q+//kLXrl2RmZmJPn364LnnnnPLKkA5jyxZsgTvvvsuduzYgfvuuw9ffvmlx7Li4+NRt25dAMCXX3551SuXXW3btg3Tp08HADz11FOYPn06QkJCtPfj4+OxatUqJCYmaq/dcccdmDJlCuLj4/H777+jS5cueS7/559/RmJiIoKDgzF48GCP98eMGePRvXpqaiq+/vprzJ49G5s3b0bbtm3x559/IiYmpphbS0RERESVFa/iiYiIiKjcWrduHS5duoSQkBB88cUXHk+ghIWFYdSoUVi7du1VK9PXX3+NZcuWoV27dm43uVu2bIlPPvkEAPDnn39iz549pV4Wk8mE+fPno0WLFgCUpyipcsvKygIA+Pv7l3FJiKi8sVgsuP3225GZmYmRI0fixx9/9MgqAGjUqBHmz5+PgwcPlnpDnpKyfPlyAEDv3r3x4osvulXIAkr3y9OmTcNrr72mvRYeHq51Rbxy5cp8l79ixQoAwLBhw3w+v4aEhGD06NHYvXs3mjZtisTERIwcOdLnbSIiIiKiaw8rZYmIiIio3FK7XmzYsCECAgIKPb8QAp9//jn69OmDiIgImM1m1KtXD5MnT8b58+fdph09erT2RNDJkyc9xpBThYeH57m+du3aaWN7Hjt2rNDlLQpJktC5c2cAwPHjx7XX1fEB4+PjsWnTJgwYMACRkZGQJAmbN2/Wpjt16hQmTJigjY8bGRmJAQMG5DlO7bJlyyBJUp5dBycnJ2PGjBna+L/BwcFo3749PvjgA8iynOd27Nq1C/feey9q164Ns9mM6tWro2PHjpg/f742Tm/37t3Ro0cPAMCvv/6a59iGs2fPhiRJHk81qbZu3YqhQ4eievXqMJlMqFWrFkaOHInDhw97nV4dU3Dz5s04cuQIbr/9dkRGRsLf3x+tW7cu8pPaQgisWLEC3bp1Q1hYGPz9/dGoUSNMmzYNycnJbtOq26Q+KX3fffdp2969e3ef12m32/Hee++hc+fOCAsLg5+fHxo1aoRnnnkGqampHtM7HA6sXr0aY8aMwY033ojQ0FAEBASgcePGePLJJwvsNnz9+vUYOnQoatSoAbPZjBo1aqBHjx545513YLFYvM5z5coVTJ06VTsWrrvuOjz33HOw2+0+b6dqzZo16NevHyIjI2E0GlG1alU0a9YMDz/8sMfn7fqd8cb1OMjLzp07MWjQIISHhyMwMBAdO3bEt99+63VadazoZcuW4eTJk7j33ntRvXp1BAUFoUOHDli/fr027YEDB3DbbbehWrVqCAgIQNeuXbF9+3avy81rOzIyMjB37lw0a9YMgYGB8PPzQ0xMDLp3746XX34ZNpvNbfqDBw/innvuQUxMDEwmE8LCwtCgQQPcfffd+PHHH92mLei8cOjQIYwYMQK1atWCyWRC9erVcdttt+W5Da775ty5cxgzZgyio6Ph5+eHG2+8Ee+8847X+Xyxdu1a9O/fH5GRkTCbzahbty4mTpyI06dPe53edX9u374dAwYMQJUqVRAYGIguXbpg48aNbtNv3rwZkiTh119/BQD06NHD7VyVezzswp6D8/PJJ5/gxIkTqF69OhYtWlTg0/R16tTBqFGjCr2ewjh58iTGjRuHevXqaWOw16tXD0OGDClUQyL194DaCMlXalfEX375JaxWq9dp0tPTsXr1arfpCyM8PFyrNN68eXOexzUREREREQQRERERUTn11ltvCQAiNDRUXL58uVDzWq1WcfvttwsAAoCoUaOGaN68uQgICBAARHR0tDh69Kg2/QsvvCDi4uIEAGE2m0WnTp3c/vnCbrdry1+9erXH+926dRMAxKxZswq1LaNGjRIAxKhRo7y+/9BDDwkAYsCAAdprderUEQDEiy++KHQ6nahSpYpo06aNqFWrlti0aZMQQojt27eLsLAwAUAEBgaK1q1bi1q1amn77Nlnn/VY19KlS/Msy8GDB0XNmjUFAGEymcQNN9wg6tevLyRJEgDEsGHDhCzLHvPNmzdPmyYkJES0bt1a1K9fXxiNRgFAK++kSZNEkyZNtOlcP59hw4Zpy5s1a1ae+3nRokXauqpVqybi4uK0feDn5ye+//57j3nUz+3VV18VQUFBIjg4WLRu3VpUrVpV21effPKJ188mL7Isi7vvvlubv169eqJVq1bCZDIJAKJOnTri33//1ab/6KOPRKdOnUS1atUEANGgQQNt2ydNmuTTOq9cuSK6du0qAAidTifq1KkjmjRpoq2zcePG4sKFC27znD59Wps+OjpatGrVSjRq1Ej4+fkJACI2NlacP3/e6/rU4xKAiIiIEHFxcaJOnTpCp9MJAOLEiRPatOpnNnXqVNG4cWNhMBhEixYtRGxsrLaM+++/v1D7WD1/ABBRUVEiLi5ONGjQQCv7G2+84Ta9+p1xLZcr9ThQj8fcr8+dO1eYTCYRFBQk4uLiRHR0tLb+1157zWN56vd65syZIjIyUvsORkZGCgDCYDCIDRs2iC1btojAwEARFhYmWrduLUJDQwUAERAQIA4ePOixXG/bYbPZRPv27bXP8vrrrxdxcXGiRo0a2ufheo7dsWOH8Pf3186/zZs3F02aNNHWPXjwYLd15ndeWL16tTCbzQKACAsLE3Fxcdp3R6fTiffffz/PfTN79mwRFRUl/Pz8RKtWrUSNGjW0ffr88897/ZzyM336dG3+WrVqidatW2vn7CpVqohdu3bluT/feustYTQaRUREhNvnYDAY3I6J3bt3i06dOomQkBABQDRp0sTtXLVu3Tpt2qKcg/PTp08fAUA88cQThd433pw4cUIrS17fC5V63so9v3o8BwQEiKZNm4oWLVqI8PBwAUA0b97c57LcdtttAoDo2rVrobbBYrFo6/vmm2+8TrN8+XIBQMTExAiHw+H2XmFyu127dgKAeOaZZwpVRiIiIiK6drBSloiIiIjKraNHj2oVBq1btxZfffWVSElJ8Wle9eZ7y5YtxZ49e7TXMzMzxcSJEwUAERcX5zaPegM6941lX3377bcCgNDr9R6VW0KUTqWsLMuiRYsWAoB4+OGHtdfVigS9Xi/mzJkjbDabNn12drbIyMgQtWvXFgDEHXfcIVJTU7V5ly1bJvR6vQDgVoEgRN6VL+np6aJ+/foCgJg8ebK4cuWK9t6hQ4fEjTfeKACIt99+220+13322muvCavVqr2XkZEh3n//ffH3339rr23atEkAEN26dctzf+VVKbtnzx5hMBgEADF//nzt5nt2drZ2TISGhopz5865zad+bkajUUyaNElkZWVp+3LatGlapb/dbs+zTLmpFYbBwcHi559/1l5PSEgQnTp1EgBEu3btPOZTj4WlS5f6vC7V8OHDBQDRq1cvtwrf5ORkMXToUK3i3FVKSopYtmyZSEpKcnv98uXLYtKkSQKAGD16tMe6FixYoFXEfPLJJ24VHUlJSeK1114TiYmJ2mvqZ2Y0GkXXrl3F2bNntfe+++477Xg8fPiwT9tqs9lElSpVhMFg8KiIsdlsYs2aNeLXX391e724lbIGg0EMHz5cpKenCyGU42PhwoXae3v37nWbT/0sjUajGD58uPYddDgc2vHYvHlzERsbKx599FFhsViEEMrxevPNN2vf3dy8bcdXX32lLe/06dNu0ycmJooFCxaIjIwM7bWbbrpJABBPP/20tl7Vrl27xMqVK91ey+u8cPbsWa1ycsqUKdqyHA6HeOGFF7Tt37dvX577ZtiwYW4VxosWLdIaURSmsc6aNWu0z2LFihXa61euXBFDhgzRGhlkZma6zafuT6PRKF566SXte261WsU999yT53c1r+NFVdRzcH6CgoLybBRUFIWplPVGPUeMGjVKpKWlub13+PBhsXjxYp+X9cEHH2hluf3228XmzZs9js28TJgwwev5TaVWZk+fPt3jvcLk9mOPPSYAiH79+vlULiIiIiK69rBSloiIiIjKNfXGvfpPkiRx/fXXi9GjR4vPP/9cZGdne8yTmJgozGazCAkJ8aiAEEKpEGjTpo0AIH777Tft9eJUyqanp4sGDRoIAGLMmDFepxk2bJioWbOm16fm8pNXpazFYhGPP/64tm+2bNmivadWJNx8881el6ne4K5evbpWyehKrRTq0qWL2+t5Vb6olU9Dhgzxur59+/YJSZJEvXr13F6/4YYbtKcMfVGcSlm1AiX3U35CKBVoasVx7qfT1JvyzZs393iKymq1iqioKAFA7N6926dtkGVZxMTEeH1aUwghzpw5oz29umHDBrf3ilopu2/fPu3Ydq38UWVkZIiYmBghSZKIj4/3ebkxMTEiICBAq/QXQmn4EBERIQCIjz/+2KflqJ+Zv7+/1++sWmn8+uuv+7S8hIQErVGGr4pbKVutWjWv3yW17CNHjnR7Xf0so6Oj3SpEhVAqw9Unelu2bOnxhPmRI0cEoDwx7st2vPTSSwKAePPNN/PZAzmuv/56AcCtcUV+8jovzJgxQwAQLVq08DrfwIEDBQAxYsQIt9fVfRMVFaVVcrtq1aqVACC+/vprn8onhNAaO0yZMsXjvYyMDO2Jzo8++sjtvfzOpRcvXtSeAk5OTnZ7r6BK2aKeg/OSkpKiZUHuSu6iKm6lbL9+/UqsPDabTTte1H8mk0nExcWJKVOm5LmfhRBi69atWkV+7oZdCQkJWgX4oUOHPOYtTKWs2hilMOcdIiIiIrq2cExZIiIiIirXnn76aWzcuBEDBw6EyWSCEAJHjx7FsmXLMHz4cDRs2NBjjMd169bBYrGgX79+qFWrlscydTodbrrpJgDQxv0rrrFjx+L48eOoVasWXnnlFa/TfPnllzhz5gweffTRIq3jhx9+QOfOndG5c2fExcUhMjISr776KgDgkUce0caWdTVy5Eivy/r5558BAA888AD8/Pw83p8yZQoAZfzVjIyMAsv29ddfAwDuv/9+r+83a9YMsbGx+O+//3DmzBkAwD///IO///4bJpMJU6dOLXAdxaVu88MPP+zxniRJmDx5stt0uY0ZM8ZjjEaj0YjmzZsDyBnzsCCHDx/G6dOn4efnhwceeMDj/Zo1a+K2227LtyyF9c033wAA7rjjDgQHB3u8HxAQgN69e0MIgS1btni8v3HjRjzyyCMYNGgQunbtqh2HV65cQWZmptt4xn/88QeSkpJQo0YN3HPPPYUqZ//+/b1+Z9u0aQPA931ctWpVmM1mHDt2DPv27StUGYpq7NixXr9LEydOBAD89NNPXue76667PMbMDg0N1ca4VscPdnX99dfD398fqampSEpKKrBsMTExAJTxVDMzM32evqjjJavU43fSpEle31fPM3kd53fddRcCAwM9Xi/s8ZCeno5t27YB8P79DwgI0L6LeZXF27ktMjJSG8/a17KoSvocnJaWpv1/b/sMUL5fucdLz31slST1OPrqq68ghCjWsgwGA7777jt8+OGHiIuLgyRJsFqt+PPPP/Hmm2+iR48e6Ny5s9exgTt06IDrrrsO2dnZ+Oqrr9ze+/TTT+FwONCqVSvccMMNxSqjut9dPwsiIiIiIleGsi4AEREREVFBevTogR49eiArKwt//vknduzYgXXr1mHz5s04deoUBg4ciN27d6NRo0YAgAMHDgAAtm/f7rWiEgAuXLgAADh79myxyzd9+nSsWrUKQUFB+PbbbxEeHl7sZXqTmJiIxMREAIBer0d4eDg6d+6MBx98ELfeeqvXeRo3buz19WPHjgFAnjehGzRoAJPJBKvVin///RfNmjXLt2zqPp85cyZefPFFr9NcunQJgLLPa9WqhcOHD2tl8FZRWJJSUlJw8eJFbX3e3HjjjQBy9k1u9evX9/p6tWrVACgVP75Ql1+7du08K08KKkthqZ/PN998g61bt3qd5uTJkwDcvxNWqxV33nknvv3223yXn5ycrP1/9XNt27atRyV2QUpqH+v1ekyePBmvvPIKWrVqhU6dOqFHjx7o0qULOnfu7LUSrLjy+q6pr1+4cAGpqakICQlxez+vba5atSoOHz6c7/unTp1Ceno6IiIi8i3brbfeitjYWPz888+oUaMG+vfvjy5duqB79+7aseZq6tSp+OWXX/DAAw/gtddeQ79+/dC5c2f06NGjwHW5Kug8o667sPumsMfDP//8A1mWYTabUa9evXzLUpTv/9GjR30ui6qkz8Gu59C8KnGbNGmildNqtWLXrl2FKnNhPfTQQ1i+fDmee+45fPzxx9px16NHD9SoUaPQy9Pr9Rg7dizGjh2LpKQkbN++HVu3bsXq1atx6NAh/PHHH+jbty/27t0Ls9nsNu+9996L2bNnY+XKlRg7dqz2+ooVKwAAI0aMKN7GIud4zH0cExERERGpWClLRERERBWGv78/unTpgi5duuDxxx/H77//jv79+yMjIwOvvfYaPvjgAwDAlStXAACnT5/2+tSMq6ysrGKV6dVXX8W8efNgNpuxevVqtG7duljLy8+oUaOwbNmyQs2TV6WfevNYrdzITZIkVK1aFWfPnvXpqR91n//1118FTqvu89TUVABAWFhYgfMUl2uFSV7bXL16dQB5P+WU175UKx59fRKsoH3vS1kKS/18/vnnH/zzzz/5Tuv6nXj55Zfx7bffIioqCvPnz0fXrl0RFRWlVXh07twZf/zxB2w2mzZPcT7XktrHatlr1qyJd955B1u2bNGeAA4JCcHEiRMxe/Zsj4qb4sjr83R9PS0tzaPCJvdTsir1CcaC3vdlnwQGBmLLli2YOXMmvvrqK6xatQqrVq0CoFQKzps3T+s9AAAGDRqEtWvX4oUXXsD27dtx5MgRvPnmmzAYDBgyZAjeeOMN1KxZs8D1FnSsq8c54H3flPR3rmrVqnk+GXq1vv+5y1RS5+DQ0FAEBQUhPT0d8fHxXitx1Z4VAODMmTPak6ylpUWLFvjtt98wa9YsbNy4EYsXL8bixYshSRL69OmDBQsW5NmYoSAREREYNGgQBg0ahOeffx5vvvkmHnnkERw5cgRfffWVx1P6I0aMwOzZs/Hrr7/izJkzWsOgPXv2QK/X46677ir29p46dQpA/ud2IiIiIrq2sftiIiIiIqqwOnfurHUNunPnTu31oKAgAMCMGTMghMj3X2ErOV198MEHeOKJJ2AwGPDFF1+gZ8+exdqeq0ndR+qTt7kJIbQnS315ilVd3vHjxwvc5927d3dbbkpKSjG3pmBq+YC8t1l9erq0n9otaN+XRlnUdX7wwQcFfj6zZ8/W5lu5ciUAYNmyZRgxYgTq1KnjVpHprdHD1fxc86PT6TBlyhQcO3YMJ06cwPLlyzF8+HBkZ2fj5ZdfxmOPPeY2fUGVnAV1Iat+X/J7vbSPrfzUqlULS5YsQXJyMrZv346XX34ZcXFx+Pvvv3Hrrbdix44dbtMPHDgQf/zxBy5evIhvv/0WDz/8MMLCwvDll1/i5ptvdquIz0tBx7p6nAOlu2/Ucly8eDHPz/dqff9zl6mkzsEA0L59ewDw2gV5WWnfvj1++uknXL58GT/++COmTZuGWrVq4eeff0afPn1K5DwhSRKmTp2qdWvt+ntAVa9ePXTs2BGyLOPTTz8FAHzyyScAgL59+7o1ECiq33//HYDSSwARERERkTeslCUiIiKiCk3titJqtWqvqd1BHjx4sFDLKszYep9//jnGjx8PnU6H5cuX45ZbbinUuspaw4YNAQB///231/ePHz8Oq9UKvV6fZ7edroqyz9XuQv/++2+fnwgt6viHYWFhqFq1qrY+bw4dOgQgZ9+UFnX5atezV6MsRf1OxMfHAwA6duzo8V5SUpLX7r/Vz3XXrl2QZbmQJS0dsbGxGDlyJD777DN89913AIAlS5a4lU99EjKvytV///0333Wo3Tbn9Xr16tXLRbemBoMB7dq1w7Rp07Br1y4MHz4cDocDS5Ys8Tp9eHg4Bg8ejIULF+LgwYMIDQ3Fnj178Oeffxa4roLOM+pxXtr75rrrroNOp4PFYslz7NeS/s4VdK4q6XMwoIwZDSiVjb6MQ3s1BQUFoV+/fnj55Zdx5MgR1K9fH2fPnsUPP/xQYuvw9nvAlTrG+sqVKyGE0CpnS6Lr4t27d2vdQQ8aNKjYyyMiIiKiyomVskRERERUbl26dKnALiHV8TEbNGigvTZo0CCYTCasW7cOx48f93l9/v7+AAru0njdunUYOXIkZFnGokWLcPfdd/u8jvKiX79+AJQnJ7Ozsz3eX7hwIQCgU6dOeXbb6Wro0KHafL5241m/fn00adIEVqtVW19BfP2MvFG3+a233vJ4Twihva5OV1oaN26M2rVrIzs7Gx9++KHH++fOncP//ve/Ei3LkCFDACjjJyYlJfk8n7q/XZ9oVL322mtwOBwer3fq1AmRkZE4e/YsPvvssyKWuPSoTxNmZWXh8uXL2utqhY63cTb/97//uU3rzUcffQSLxeLx+qJFiwAoT+OVR+r+OHfuXIHTVq9eHXXr1vV5evX4ffvtt72+r37vS/s7FxQUpDUs8Pb9z8rK0r6LJVWWgs5VJX0OBpRKx9jYWFy4cAETJ04sN40icgsICEDTpk0B+HYcAfn3LAAANptN++66/h5wdccdd8BsNmP//v1YtGgRTp48ieDgYAwePLgQpfeUnJyMUaNGAQB69erFJ2WJiIiIKE+slCUiIiKicmvFihVo0aIFPvjgA4+KpJSUFMycORMrVqwAANx3333aezVq1MDUqVNhs9nQr18/bN682W1eIQR27tyJCRMmuD01VbVqVQQHByMxMTHPp95+//13DBs2DDabDfPnz8e4ceN83p7hw4cjNjYWCxYs8Hme0nLXXXehdu3auHDhAkaPHu32xOaKFSuwePFiAMD06dN9Wt64ceNQr149bNq0Cffccw8SEhLc3k9PT8cXX3yBRx991O31559/HgAwe/ZsLFy40K1L1MzMTHz44Ydun4VaIfT333/n+URjXh577DEYDAasXr0ar732mlZhYbVaMWXKFO0pwAkTJhRquYUlSRKeeOIJAMCsWbOwYcMG7b0LFy5g+PDhsFqtaN++PXr06FEi64yLi8Mdd9yBpKQk9OnTB3v27HF73+FwYPPmzbjnnnvcKhY7d+4MQNl36jEihMDHH3+MV199FX5+fh7r8vPzw7PPPgtAOS4+++wzt4r6y5cv44033ij051cYf//9N8aNG4ddu3a5rdtiseCFF14AANSpUwcRERHaewMGDAAAzJ8/360xx65duzB58mQYjcZ815mUlISxY8dqTygKIbBo0SJ8/fXX0Ov1Hsf+1fTGG29gwYIFHpXrp06d0iojW7Vqpb0+fPhwrF271uOJw6+++goHDhyAJElo2bJlgeudMGECQkJCsHfvXjzyyCPa8mRZxvz587F27VoYjUaPrqRLw7Rp0wAoleTqE5KAMobsyJEjcfHiRcTGxmL48OElsj61kv/XX3/1+n5Jn4MBwGw2Y9WqVfD398fHH3+Mfv36Yfv27R4NZc6fP4/33nuvsJtUaBMmTMCqVauQmZnp9vpvv/2mnfdcj7v8jBs3DjfffDPWrFnjUdH977//4s4778R///2HgIAA7Ynh3KpUqaI9xfr4448DAG677bY8x20uSGpqKpYvX45WrVrh4MGDiIqKKtaQCERERER0DRBEREREROXUggULBADtX926dUXbtm1FgwYNhMlk0l5//PHHPea12Wzi3nvv1aaJiooSbdu2Fc2bNxfBwcHa64cPH3abb8yYMQKA8PPzE3FxcaJbt26iW7du2vsNGzYUAITZbBadOnXK89+6des8ytStWzcBQMyaNatQ+2HUqFECgBg1apTP89SpU0cAECdOnMhzmu3bt4vQ0FABQAQGBoq4uDgRExOj7ZtnnnnGY56lS5fmWZbDhw+LunXrCgBCp9OJxo0bi3bt2omGDRsKvV4vAIh27dp5zPfSSy8JSZIEABEaGiri4uJEgwYNhNFoFADEpk2b3Kbv2bOnACCCg4NFu3btRLdu3cSdd96pvT9r1qw89/OiRYu0dVWvXl20adNGhIWFaZ/p999/7zGP+rnlLodK/XyWLl3q9X1vZFkWd999t7avr7vuOtGqVSvtuK5du7b4999/S2RdqrS0NNGnTx9tnbVr1xbt2rUTTZs2Ff7+/trrWVlZ2jx//vmnMJvNAoAICQkRrVu3FjVq1BAAxIgRI/LcN7IsiwkTJmjLjIyMFG3atBGxsbHaseB6bOb3mQmR/3HnzZ49e7R1h4WFiVatWomWLVtqx7vJZPL4jmZlZYkbb7xRABAGg0E0adJE+74PHz48z21VX587d64wmUwiODhYxMXFafsJgJg/f75HGQv6LAs67vL6jnt7fcqUKVpZYmNjRdu2bUWjRo20z6JJkyYiJSVFm17dT2azWTRp0kS0adNGREdHa8t49tln3daZ3+ezevVq7biuUqWKaNOmjahWrZp2nli8eHGh901Bx0tepk+frm1DTEyMiIuLE4GBgVrZdu7c6TFPQefSvD6n3377TVtXw4YNRdeuXUW3bt3EDz/8oE1TlHOwL3bu3CliY2O15VSpUkW0aNFCtGrVStSoUUPodDoBQPj7+3t8lq5OnDihLSO/LMlL8+bNte9T48aNRdu2bbX9CUDce++9Pi/r1ltv1eYzGo3a8mrXrq1tj5+fn/jyyy/zXc4333zj9rtiw4YN+U6vfr4xMTFavrdt21Zcd9112noBiB49eohTp075vD1EREREdG3ik7JEREREVG5NnDgRGzduxBNPPIGOHTvC4XBg7969OHv2LOrUqYORI0diy5YteOWVVzzmNRgM+OSTT7B27VrceuutAIA9e/YgISEBDRs2xKRJk7B582aP8QPffPNNTJkyBVFRUdi3bx9+/fVXtyed1KcILRYL/vjjjzz/eevutbxp164d9u3bh3HjxiEyMhL79+9Heno6+vbti7Vr1+K5554r1PIaNWqEffv24eWXX0abNm1w9uxZ7N27F1arFd26dcOrr76Kzz//3GO+6dOnY+vWrbjjjjsQEBCAffv2ITU1FW3atMErr7zi8STVp59+itGjRyMkJAR//fUXfv31V2zfvt2nMk6YMAFbtmzBrbfeClmWsXfvXgQEBODee+/F7t27r9pYgJIkYcWKFfj444/RpUsXJCYm4tChQ6hTpw6eeOIJ7N69W3vSrqQEBQXhxx9/xMqVK9GvXz9kZmZi9+7duHTpEpo1a4Zp06Zh586dbk+/tm7dGr/99hv69OkDWZZx5MgRVKtWDQsXLsTy5cvz3b5FixZh7dq1uOmmmyBJEvbt2webzYZu3bph0aJFqFGjRolun6sGDRrggw8+wO23346qVavi2LFjOH78OGrWrInx48fj77//1p6MVfn5+WHjxo0YO3YswsPDcfz4ceh0Orz66qtYuXJlgevs0qULtmzZgs6dO+Off/7B5cuX0b59e3z99dfak9FlZfz48Zg9eza6du0Km82GvXv34vLly2jTpg3eeust7Ny5E6Ghodr0y5cvx4MPPogGDRrg3Llz2L9/PwICAjBkyBD8+uuvmDt3rs/rvuWWW/DXX3/hnnvugZ+fH/bu3QshBIYMGYLff/8dDz74YGlsslcvvfQS1qxZgz59+iA9PR379+9HZGQkxo8fj3379qFNmzYltq4uXbrg008/Rdu2bXH27Fn89ttv+PXXX3H+/HltmpI+B6vatGmDo0eP4qOPPsItt9yCwMBAHDlyBH///Tf0ej0GDhyIN998E6dOnSrUZ1lYb7zxBqZMmYJmzZrh0qVL2Lt3LwCl6+bvvvsOH3/8sc/LWr58Ob766iuMHTsWTZo0QXJyMnbv3o2UlBQ0a9YMjz32GA4dOoRhw4blu5yBAwdqT8jXrFkT3bt392n9p0+f1vL94MGDyMjIQKdOnfDYY49h586d2LhxI2JiYnzeHiIiIiK6NklC+DjgExERERERXfOWLFmCsWPHYuzYsV7HQyUiIiIiIiIiIk98UpaIiIiIiHyWkpICQBmbj4iIiIiIiIiIfMNKWSIiIiIi8onNZsP3338PAGjevHkZl4aIiIiIiIiIqOJg98VERERERFSg2267TRsrNyoqCseOHUNwcHBZF4uIiIiIiIiIqELgk7JERERERFSg3bt3IyMjA3379sX69etZIUtEREREREREVAh8UpaIiIiIiIiIiIiIiIiIqBTxSVkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolLESlkiIiIiIiIiIiIiIiIiolJkKOsCkDtZlnHu3DkEBwdDkqSyLg4RUZkRQiAtLQ01atSATsc2RFQ2mMtERArmMpUHzGUiIgVzmcoD5jIRkaIwucxK2XLm3LlziImJKetiEBGVG6dPn0atWrXKuhh0jWIuExG5Yy5TWWIuExG5Yy5TWWIuExG58yWXWSlbzgQHBwNQPryQkJAyLg0RUdlJTU1FTEyMdl4kKgvMZSIiBXOZygPmMhGRgrlM5QFzmYhIUZhcZqVsOaN29RASEsIwIyIC2AUOlSnmMhGRO+YylSXmMhGRO+YylSXmMhGRO19ymYMOEBERERERERERERERERGVIlbKEhERERERERERERERERGVIlbKEhERERERERERERERERGVIlbKEhERERERERERERERERGVIlbKEhERERERERERERERERGVIkNZF4CKzuFwwGazlXUxiEqF0WiEXq8v62IQEfmMuUzXKoPBAL1eD0mSyrooREQaIQQcDgfsdntZF4WIWUlE1zzmMpU3vPdMZYWVshWQEALnz59HSkpKWReFKhBZCNhlwKiXIAEQAGwOAYMO0JXTC8OwsDBERUXxwpWIyjXmMhVFRczl/Oj1elSrVg2hoaHMbSIqU0IIpKSk4OLFi3A4HGVdHKogrkYuMyuJ6FrEXKaiuFrXy7z3TGWBlbIVkHrjt1q1aggICOBJgwrkkAWyrAIyAIMO8DdKyLIp4aYD4G+SoNeVn+NICIHMzEwkJiYCAKKjo8u4REREeWMuU2FVtFzOjxACdrsdqampSEhIQFZWFnObiMqUmsshISEICQmBwWBgNlO+SjuXmZVEdC1jLlNhXY3rZd57prLEStkKxuFwaDd+IyIiyro4VEFkWmUYXLLKBkBnBEzOvyU94GcqX0NM+/v7AwASExNRrVo1didBROUSc5mKoiLmckGCg4NhNptx6dIl5jYRlRmHw4ErV66gatWqiIyMLOviUAVxtXKZWUlE1xrmMhXF1cpl3numslKx7vaQNlZdQEBAGZeEKhJ/owSjy7dddnnP6GxxVB6pxznHaCSi8oq5TEVRUXO5IIGBgRBCMLeJqMzYbDYIIRAYGFjWRaEK5GrmMrOSiK4lzGUqiquZy7z3TGWBlbIVFLt5oMKQJAkBJsnjC68DEGCSyu3xVF7LRUSUG89XVBgVNZcLUlHLTUSVD89HVBhXM5d5bBLRtYjnPioM5jJVdqyUJboGCCGQ6eyL35UMINMqIIQoi2IRERFdk5jLRERE5QdzmYiIqPxgLlNlx0pZomtAlk3A5pJkrl98m6y8T0RERFcHc5mIiKj8YC4TERGVH8xlquxYKUvlzv79+zF27FjUr18f/v7+8Pf3R4MGDTBu3Dj8+eefZV28YpEkCbNnz87z/e7du0OSpAL/5bcMb8yGnC4fjDpAL2dh/gtz8Ptvm6Fzvq+aPXs2JEnCpUuXCr19RERU+TCXmctERFS+MJtLNptz53KwnwRbdiZefn4O/vhts1suA8xmIiJyx1xmLhMVhqGsC0DkavHixZg0aRKuv/56TJkyBTfeeCMkScLhw4fx2WefoU2bNvjnn39Qv379si5qqVi0aBFSU1O1v9euXYvnn38eS5cuRaNGjbTXa9WqVajl6nUSAs2AxS7gb5SQlJaFl16Yi6efmYkBfXpAr2P/+URE5Im5zFwmIqLyhdlc8tmcO5clSQLsWZj34lyYDDMxqF/PEt0GIiKqPJjLzGWiwmKlLJUbf/zxByZOnIhBgwbhq6++gslk0t7r2bMnHnroIXz55Zfw9/fPdzmZmZkICAgo7eKWihtuuMHt7yNHjgAAmjRpgri4uDzn82Wb9TplkHRXRr3EG79EROQVc5m5TERE5QuzufSyOXcuS5Ly/3USc5mIiLxjLjOXiYqC3RcT0rJl7D9nhewcJFsWAvvPWZGWnXs47dL14osvQq/XY/HixW4h5ur2229HjRo1tL9Hjx6NoKAgHDhwAH379kVwcDB69eoFAEhOTsbEiRNRs2ZNmEwm1KtXDzNmzIDFYtHmj4+PhyRJWLZsmce6cnetoHaFcOjQIdx1110IDQ1F9erVMWbMGFy5csVt3tTUVDzwwAOIiIhAUFAQ+vfvj2PHjhVj7+RQy7F7924MGzYMVapU0Vpbde/eHd27d/eYZ/To0YiNjdW2uWrVqgCAOXPmaN1IjB492m2eCxcuFLidRERU8pjLzGXmMhFR+cJsZjYzm4mIyg/mMnOZuUwVGZ+UvcalZcvYHm+B1Q7Y7ECLWkbsPWPD+VQHLqQ60D7WjGC/0q+7dzgc2LRpE+Li4hAdHV2oea1WK2655RaMGzcO06dPh91uR3Z2Nnr06IF///0Xc+bMQbNmzbBlyxa89NJL2Lt3L9auXVvkst5222248847MXbsWBw4cABPPfUUAGDJkiUAACEEbr31VmzduhUzZ85EmzZt8Mcff2DAgAFFXqc3Q4cOxfDhwzF+/HhkZGT4PF90dDR+/PFH9O/fH2PHjsX9998PAFq4qQraTipf0rJlnEi2o0m0ETpJgiwEDibYUDfccFW+w0RUMpjLhcdcZi6XR8xlosqD2Vx4zGZmc3nEbCaqHJjLhcdcZi6XR9dyLrNS9hp3ItkOq135/+dTHdh4zKH9bbUr7zer4b2lT0m6dOkSsrKyUKdOHY/3HA4HhLPlEwDo9XqtywIAsNlsmDlzJu677z7ttcWLF2P//v344osvcPvttwMA+vTpg6CgIEybNg3r169Hnz59ilTWsWPH4oknngAA9O7dG//88w+WLFmCjz76CJIk4aeffsKmTZvw5ptvYvLkydq6TSYTZsyYUaR1ejNq1CjMmTOn0POZzWa0bt0agNKff/v27b1OV9B2UvlRXn6QElHxMZcLj7nMXC5vmMtElQuzufCYzczm8obZTFR5MJcLj7nMXC5vrvVcrrxbRj5pEm1EVIhe+1sNMQCICtGjSbSxDErlrnXr1jAajdq/1157zWOa2267ze3vjRs3IjAwEMOGDXN7Xe3WYMOGDUUuzy233OL2d7NmzZCdnY3ExEQAwKZNmwAA99xzj9t0d999d5HX6U3ubS5pBW0nlR+eP0izcT7VASDnBykRVQzM5cJjLjOXyxvmMlHlwmwuPGYzs7m8YTYTVR7M5cJjLjOXy5trPZdZKXuN00kSWtQywpTrmWmTQWmhcLUGz46MjIS/vz9Onjzp8d6nn36KXbt24bvvvvM6b0BAAEJCQtxeS0pKQlRUlEcrmGrVqsFgMCApKanIZY2IiHD722w2AwCysrK0dRsMBo/poqKiirxObwrbNUZhFbSd16ryMm6Fq4rwg5SIfMNcLjzmMnOZuUxEpYnZXHjM5ms3m8tjLgPMZqLKhLlceMxl5jJzuXxhpew1ThYCe8/Y3A58QPki7D1j076wpU2v16Nnz574888/kZCQ4PbeDTfcgLi4ODRt2tTrvN66H4iIiMCFCxfcuooAgMTERNjtdkRGRgIA/Pz8AMBtwHQAxQ46u93usYzz588XeZneeNtuPz8/j20BlC41qPjUrhVOJzuw57QNDllgz2kbTic7sD3eUmaBVl5+kBJR8TGXmcvkO+YyEV0NzGZmM/mmvOYywGwmqkyYy8xl8g1zufxipew17mCCTXs0HIDbF+F8qgMHE2xXrSxPPfUUHA4Hxo8fD5uteOvt1asX0tPT8e2337q9/vHHH2vvA0D16tXh5+eH/fv3u023evXqIq+7R48eAICVK1e6vf7pp58WeZm+io2NxbFjx9zCLCkpCVu3bnWbji2Fiqa8dq1QXn6QElHxMZeZy+Q75jIRXQ3MZmYz+aa85jLAbCaqTJjLzGXyDXO5/DIUPAlVZnXDDbiQqgyIHhWidxtU2WRQ3r9aOnXqhHfeeQcPP/wwWrVqhQcffBA33ngjdDodEhIS8L///Q8APLp38GbkyJF45513MGrUKMTHx6Np06b4/fff8eKLL2LgwIHo3bs3AKWFzr333oslS5agfv36aN68OXbu3Fms0Onbty+6du2KJ598EhkZGYiLi8Mff/yBTz75pMjL9NWIESOwePFi3HvvvXjggQeQlJSE+fPne+yz4OBg1KlTB6tXr0avXr0QHh6OyMhIxMbGlnoZK7Im0UbY7HALMFVZdq3g7Qepa+geTACa1TCVSdmIqHCYy8xl5rLvmMtEdDUwm5nNzGbflNdcBpjNRJUJc5m5zFz2DXO5/GKl7DUu2E+H9rFmnEi2o0m08mh4yxgjDiYoIRbsd3Ufph4/fjw6dOiAN998E2+88QbOnTsHSZJQq1YtdOzYERs2bEDPnj0LXI6fnx82bdqEGTNm4JVXXsHFixdRs2ZNPP7445g1a5bbtOpg6/Pnz0d6ejp69uyJ77//vsgndZ1Oh++++w6PPvoo5s+fD6vVik6dOmHdunVo1KhRkZbpq06dOmH58uV4+eWXMXjwYNSrVw+zZs3CunXrsHnzZrdpP/roIzzxxBO45ZZbYLFYMGrUKCxbtqxUy3c1pWXLbse1LAQOJtiKdVyrXStsPOZwC7Ky7lqhPP0gJaLiYS4zl5nLvmMuE9HVwGxmNlfGbL6WchlgNhNVJsxl5nJlzGWg5LOZuVx+SSJ3R+VUplJTUxEaGoorV654bUWTnZ2NEydOoG7dulof8kSVVVGPd7XP/LxO7O1jzR5h5kvwyULpe9+1JY8qKkSPljE5gVYaF7kFbfPVXN/VUND5kOhqYC4T+S6v7wNzmblMVFKYy1TRlYdj9FrM5bJaZ2liLlN5wFymiq68HKOFzWbmcvlTmFyueFtHRFSAwvaZ7+vA576OW1EWA6kH++nQrIZJC1OdJKFZDVOFDDEiIqpcmMvMZSIiKj+uxVwGmM1ERFR+FSabmcsVX+XfQiK65jSJNiIqRK/9XVCf+b4GX91wgxZgUSF69Gzop63HtWuF8jyQOhER0dXGXCYiIio/mMtERETlS2Gymblc8bFSlogqHbXPfFOu7ufz6jPf1+BTx62ICVe6eNDrlHErYsL1bt1IFPYil4iIqDJjLhMREZUfzGUiIqLypTDZzFyu+FgpS0SVjiwE9p6xuYWIQwikZAnsOWOFLARkIbD/nBVp2XKhgs+XrhUKe5FLRERUmTGXiYiIyg9vuQwAWTaB9UeyYZdlbbr956zIsAjmMhERUSkqzDUzc7niq5CVsosWLdIGX27dujW2bNmS7/S//vorWrduDT8/P9SrVw/vvfeexzT/+9//cMMNN8BsNuOGG27AN9984/Z+bGwsJEny+PfQQw9p04wePdrj/fbt25fMRhORz3L3ma/XARkWAatD4L9LDhw4a3PrGz81y+EWfA4hkGkTsNiBvWdssMuydqPYF3ld5Fqdy5OFQFq2skxZCG2ewqyDiIioomAuExERlR/exphzCIEMi0BSpoxfjljcxpPbdiIbO09amctERESlpDDXzLlzGci/0XNBmMtXX4WrlF21ahWmTp2KGTNmYM+ePejSpQsGDBiAU6dOeZ3+xIkTGDhwILp06YI9e/bg6aefxuTJk/G///1Pm2bbtm248847MWLECOzbtw8jRozAHXfcgR07dmjT7Nq1CwkJCdq/9evXAwBuv/12t/X179/fbbp169aVwl4govzk7jM/KlQHvfNs55AFzqXa3frG337Sqv3tEAKZViX0Mq0CCakO/HLEUuDg5q7hdDDBhoQrdmTaBByy8BhI/a/T1jIZQJ2IiKgsMJeJiIjKD29jzJn0EmQoNwmtduE2ntyVbOBMCnOZiIiotBTmmtk1l4GCGz17y03mctmqcJWyr7/+OsaOHYv7778fjRs3xoIFCxATE4N3333X6/TvvfceateujQULFqBx48a4//77MWbMGLz66qvaNAsWLECfPn3w1FNPoVGjRnjqqafQq1cvLFiwQJumatWqiIqK0v59//33qF+/Prp16+a2PrPZ7DZdeHh4qewHIspb7j7zm9UwoV6EASa9hECTBFnO6XYhKkSPdnVMWuCY9BKCTBKMOsAmC6RbZFjtSiugvAY3T8uW3cKpdpgeFocShjYZaFPH5DaQuiTAAdSJiOiawVwmIiIqP7yNMde7kRkRAToEmiTodZLb0zK1QvUI9VeymrlMRERU8gpzzeyay740es6dm8zlslehKmWtViv++usv9O3b1+31vn37YuvWrV7n2bZtm8f0/fr1w59//gmbzZbvNHkt02q1YsWKFRgzZgykXH1qb968GdWqVUPDhg3xwAMPIDExMd9tslgsSE1Ndft3rXLIAplWGcL5GLwQyt8OWZRxyagicu0zXydJaBljQpi/coGpUvvGD/XXa8HXu5EZ0aEGBBglmPQSAow583gb3DwtW8a2eAsszvxJSHVg03EL9JIyv9kg4dRlh9tA6q1qmziAOlE5xVx2x2ymksJcJqKiYC67Yy5TSck9xpxBp0OfRn7wN7nf4zIZgLaxJnRgLhMRmMu5MZepJPl6zeyay740enbNTeZy+VChKmUvXboEh8OB6tWru71evXp1nD9/3us858+f9zq93W7HpUuX8p0mr2V+++23SElJwejRo91eHzBgAFauXImNGzfitddew65du9CzZ09YLJY8t+mll15CaGio9i8mJibPaSszhyycj9kDmVbhDDHl7wyLYJhVAOX5h0juvvG9jYFzItmOuuEGGHQ6tKhlhNnofoHpbXBztWWR1SYgSYCAcvxm2gSybAJmAxDtDCfXgdQ5gDpR+cVczsFsrtiYy8xlosqAuZyDuVyx5c7l8jYWW0HZ7G9SXs+ygrlMdA1jLudgLldslSWXMyyiwEbPam4yl8uPClUpq8r9dKoQwuO1gqbP/XphlvnRRx9hwIABqFGjhtvrd955JwYNGoQmTZrg5ptvxg8//IBjx45h7dq1eZbtqaeewpUrV7R/p0+fznPaysxiF1BPeTYZSMtWHpcHANn5PpVf5f2HiOtg6QWNgZOa5ShwcHPViWQ7rHbl/CGcXTfZnNsqA3DIOeHk2le/LJSB11OyBBwuy/O2DgAcTJ3oKmIu52A2V1zMZeYyUWXBXM7BXK64XHM5yyYgBHA4oXyNxeZrNm87kY2dJ63lKpcBZjPR1cJczsFcrrgqUy4X5pq5MLkM5GSrXZax94wNFjuUcWeF8Lp8V8zl/FWoStnIyEjo9XqPJ1gTExM9nnRVRUVFeZ3eYDAgIiIi32m8LfPkyZP45ZdfcP/99xdY3ujoaNSpUwfHjx/Pcxqz2YyQkBC3f1fdlSvAxo3AO+8Ar76q/HfTJuX1QirqUxn+RmVMkj937sC9dw7FDQ1jUT3MHw1jo9GvRyc8M/3xIm3a7NmzPSrXFy1ahGXLlhVpeQWRJAmzZ8/2adoLFy5g+vTpaNq0KYKCguDn54cGDRpgypQp+R4z5VFRfoiMHj0asbGxV6V8roOlFzQGzvaTVrfQszoE1NInpDrwy9FsLUCaRBsRFaJXjnObgMNlM406CUa9hL1nbEjNcrj11X/grA3/XXLA6lB+BOhdzsTnUx04mGDT/s7dzz8HUycqXeUil0+eBL78Enj0UWDECOW/X3yhvF4ERc3mVSuXo0qAXvsXGqDHdbWr46Z+PfHLj9/D3+ier4XJwKKQJAmTJk0q0ryxsbGQJEn7FxgYiFatWuHtt9/W9ktZio+PhyRJePXVV0tkeeX9BgFzmYh8VS5yWXX0KPDdd0omf/ed8ncRFPeaGQAOHtiPCQ+OQfPG9RFVJQC1qoagc/s4zJ8/H8nJyQCU7LvpppuKVMarITY21qP3MV+9+OKL+Pbbb0u0PKXJNZftMpBtF7iYrrxSXsZi8zWbr2QDZ1LKTy4DzGaiq6lc5fLFi8DWrco97a1blb+LoDi5vGrFMlQJ0COqSgDiT+Vcrxt1yvvdu3dHkyZNilSusuLtfm3uzD537hxmz56NvXv3XtWylZTKlMuu18zq07TqfALAf0l27D5lBeB7LstCuGXrL0csSEh1uFUMqxWzzOWiMRQ8SflhMpnQunVrrF+/HkOGDNFeX79+PQYPHux1ng4dOmDNmjVur/3888+Ii4uD0WjUplm/fj0eeeQRt2k6duzosbylS5eiWrVqGDRoUIHlTUpKwunTpxEdHe3T9l11Vivw44/AnDnA7t2e77dqBcyaBfTvD5hMBS5ObWUiQwmwAJPydIZNBuwOgUAz3B6hdyVJEjatX4vBgwejc9fumPPCy4iKisaF8wk4tO8vrFq1Cq+//noxN1ixaNEiREZGFvkCsCTs3LkTN910E4QQmDRpEjp06ACTyYSjR49ixYoVaNu2LS5fvlxm5QOUz9NiF/A3KjewhVC7MpA8Pkd/o/K+6w1flfpDpCypg6WfSLbjhigD9p2xI+GKHVl2wKyH2xg411XVY+dJK7JsAjaHgFkvKV06CCDLJiPTCmw7kY0Odf0QaJZg0AHZjpxtBwC9BASYJEhQwikp0wGby4DoOl3OU0p6HRAVqoPDIeF8qgMmgxK8KrUVkzrvxmMO7W/1h0KzGgV/P4moAkhOBlauVLLXWwZUqQLMnQvcfTcQHu7TIoubzQCwaPFHuO76RhBCIPH8eXyweBFuHzoY3333HW6++eaibu1V16lTJ63S89y5c3j99dfx8MMPIzU1FU8//XQZl843vmYzc5m5TEQlaPduYNUq4O23gczMnNcDAoBJk4A771SunX1Q3FwOMAFvLXofj02dhOsaXo+Hpz6Oxo0bwyjZ8ddff+G9997Dtm3b8M0335TAhpdfL774IoYNG4Zbb721TMtR1FyGAOB8u7yMxeZrNtcK1SPNKiO7nOQywGwmuub8+y+wYQPw8svAiRM5r9erB0ybBvTqBdSv79OiipvLJoPynsViwQtznsXijz6GDs5zXCXq0vWbb75xq4A/d+4c5syZg9jYWLRo0aLsCpbLtZjL6jXz1hNWpGYqDZnC/JXxX/+9ZIddBhLT7UjLNvqcywcTlNdzsjSnEteoAwKMEgx6CQ4ZzOUiqlCVsgDw6KOPYsSIEYiLi0OHDh3w/vvv49SpUxg/fjwApRuFs2fP4uOPPwYAjB8/Hm+//TYeffRRPPDAA9i2bRs++ugjfPbZZ9oyp0yZgq5du2LevHkYPHgwVq9ejV9++QW///6727plWcbSpUsxatQoGAzuuy49PR2zZ8/GbbfdhujoaMTHx+Ppp59GZGSkWwVyuWGxAB98ADz8cN7T7N4NDB4MvPUW8OCDBVbMensqQ/1bfSojwOQ9kIQQeHneK6gTWxf/++4Ht/17553DMX/+fN+3rZxLTU3F4MGD4efnh61bt6JWrVrae927d8e4cePw1Vdflci6srKy4Ofn59MPAdfgkgWQbpHhEIAsgMACfpSoNwhcP3MA5eaHSFq2Mjad1id+TQNOXra7hZjaD75eJ6F9rBnb4i3QIadLh2yHgM2h5HRKlsC/STbYHcB/lxywO6D1xa+Gk3phajYAbeuY8M9Fh/akjyxLCDQBFgdQN1yvBdHBBCXIgv1ymgI3iTbCZoc2LwdTJ6qkkpOBGTOA997Le5rLl5XcPnQIeOEFnypmi5vNANDohiZo2TpOe71X3/6oWyMCn332WYWqlA0LC0P79u21v3v37o3atWtj8eLF5bJSNvcFpUMWSM2WIUHJl/xuGOSVyw6bDYH+OkiSZ3ZkZmYiICDgqmwbc5mIKozNm4FbbgHS0jzfy8wE5s9Xsvu774Bu3QpcXHFzedNvW/HolIfQvWdvrPziG5jNZgDKua5Pnz547LHH8OOPPxZ6M8k3Rb1mds1lV+VlLDbXXG5WwwRZCBh0gF4PBLiUzWQA2saakGkV5SaXAWYz0TVl/36lMdSRI57v/fcfMG4c0KiR0piqWbMCF1fcXFafVuzVpx++WvUZJk15DE2bNUemVangrSxatmxZ1kXwqrLmMlD4a+bIIB3SLQL+BiAxTYYkybDLSl1zugWFyuW64QYEmiUtW/U6CQFGJZf9DUB0qAHNaxnw93k7c7mIKlT3xYAybuuCBQswd+5ctGjRAr/99hvWrVuHOnXqAAASEhJw6tQpbfq6deti3bp12Lx5M1q0aIHnnnsOCxcuxG233aZN07FjR3z++edYunQpmjVrhmXLlmHVqlVo166d27p/+eUXnDp1CmPGjPEol16vx4EDBzB48GA0bNgQo0aNQsOGDbFt2zYEBweX0t4ohp9+yr9C1tXDDytP1BbAtTsloHBPZWTZBJKSkxAREQmDweB2YNpkwOJwn3fVqlXo27cvoqOj4e/vj8aNG2P69OnIyMjIt4yxsbE4dOgQfv31V60LQ9cuGVJTU/H444+jbt26MJlMqFmzJqZOneqx3NTUVDzwwAOIiIhAUFAQ+vfvj2PHjuW7btUHH3yA8+fPY/78+W4Vsq6GDRum/f8///wTd945HHViY+Hv74/Y2FjcddddOHL8hFtXGsuWLYMkSfj5558xZswYVK1aFQEBAbBYLPjnn39w3333oUGDBggICEDNmjVx880348CBAwByWoZt3LQZOp0OH69YiWdnTEfjerUQFRGCAYNuxtmEC0hLS8Pkh8aherWqiIyMxH333Yf09HRtrDq1ZdmHixehS7tWqB4eiPDwcAwbNgyHjvxTJmPY5e4yweaQ8fMRC7JsAhnWnBa4rv3gB/vp0Pt6P0SHKo0DlNZVEnJKL+FimowTSQ7YZAEhKS14/Y2SM8iUC1OTAWgfa0aov95jQHS9TkKYvzIQu06S3AZQd8XB1ImuEZ9+mn+FrKv33lOm90FxstnqcD9nq4vx8/ODyWSCpM+/bd/FixcxceJE3HDDDQgKCkK1atXQs2dPbNmyxWNai8WCuXPnonHjxvDz80NERAR69OiBrVu35rl8IQSefvppGI1GfPDBB/mWxZuQkBA0bNgQFy5ccHtd7YGlVq1a8PPzw3XXXYdx48bh0qVL2jQOWeDk2Qt44IEHEBMTA7PZjKpVq6Jjp0745ZdftOnU7qq2bNmC9u3bw9/fHzVr1sSzzz4Lh8PhUSZZlvHCCy+gdu3aCAzwR6f2bbH2x18ghEC6RUAWgEMAR44ewx3D70ZsTBSqh/mjTcsbsfCtd9z2zY/rNyE0QI/PP/0Ez0x7DI3rx6BqmD8OHD6O0aNHIygoCHv37Uffvn0RHByMXr164bnnnoPBYPA6NtSYMWMQERGB7OzsQu9rV8xlIqowdu/Ou0LWVWqqMp233qdyKe418/x5L0GSJCx4ZzH8nRWygHLNnGUTMJlMuOWWW9zm+/HHH9GqVSv4+/ujUaNGWLJkiceyDx48iMGDB6NKlSrw8/NDixYtsHz5co/pUlJS8Nhjj6FevXowm82oVq0aBg4ciCMuN8eTk5MxceJE1KxZEyaTCfXq1cOMGTNgsVjy3TfZ2dl47LHH0KJFC4SGhiI8PBwdOnTA6tWr3aaTJAkZGRlYvny5dk3frXt3revJ8+fP48EHH0TNWrVgMplQt25dzJkzB3Z78boizD1eu8Uu4JCVG5gWu9JwKq+hAlyvlwFAQCDbLmBxZp1dlstsnDVvXQzuPm3F0UQ7UjLdx6FXsznQLJWbXAaYzUTXjH//zbtC1tWRI8p0//5b4CKLm8vqJfOUR59AeEQE5jwzHUBOLucmhMCiRYvQokUL+Pv7o0qVKhg2bBj+++8/t+l8uSYFcobt27NnD4YOHYqQkBCEhobi3nvvxcVc3TnLsoz58+ejUaNGWoaPHDkSZ86cKXA/uXZfvHnzZrRp0wYAcN9992lZrA5lVNj72Js2bcKECRMQGRmJiIgIDB06FOfOnSuwTJU1l4GiXTO3jjGhXoRBezAqw6pUtCpPABcul4P9dB7ZqlTMSjAbldcNOh1zuRgq3JOyADBx4kRMnDjR63vexgrt1q0bdhdwgTRs2DC3ijBv+vbtm+e4Y/7+/vjpp5/ynb/cSElRuiwujLlzlZa/oaF5TlKcpyXNBglt27bHx8s+wlOPT8GoEfegUZOWgN4InfN9V8ePH8fAgQMxdepUBAYG4siRI5g3bx527tyJjRs35rmeb775BsOGDUNoaCgWLVqkrNt5MZuZmYlu3brhzJkzePrpp9GsWTMcOnQIM2fOxIEDB/DLL79oXR/ceuut2Lp1K2bOnIk2bdrgjz/+wIABAwrcjYDSNbZer/f56aL//juBuvUb4pahdyAyIhyXL53HO4veQ5dO7bDzr4OoXbOq21OrY8aMwaBBg/DJJ58gIyMDRqMR586dQ0REBF5++WVUrVoVycnJWL58Odq1a4c9e/Ygpm4Dt89s9rPPoFPX7nh78Uc4dfIkZs14EvePvgcGgx7NmjXHp59+ir179+Lpp59GcHAwXn51gRZ0j0waj09XLMcDEyZh1nMvIiXlMl556Xn07NYZf+zYg7q1o/Ls+qM05O4y4dRlOzJtOYOY2wWgR877BxOAZjVMWoCoXSz4G5Rgd8jK8Wy1K62H7A4lyOpFGNAyxoS9Z5SB2M1GSQsyWYh8B1xvGZN3IBVnXiKqIE6eBGbOLNw8s2YpN4Br1853suJks9F5rnY4HJBkO/yMQPzp83j99VeRkZGBe+6+O991q2PazZo1C1FRUUhPT8c333yD7t27Y8OGDejevTsAwG63Y8CAAdiyZQumTp2Knj17wm63Y/v27Th16pTX4SQsFgtGjx6NtWvXYs2aNejfv3++ZfHGbrfj9OnTaNiwodvr//77Lzp06ID7778foaGhiI+Px+uvv47OnTvjwIED0OkNyLAIjB09Evv27cELzz+P2nUbIPlyCvbv3YOLF90vlM+fP4/hw4dj+vTpmDt3LtauXYvnn38ely9fxttvv+027dtvv406depg3quvw2qXsfD1VzF08CCs+3kT4tp1gATgyOG/MaB3F9SKqY3nXnoF1atHYfOGn/H4o1OQmpKEWbNmud0geG7mDMS1bY9X33wHep0OVSKqweoQsFqtGDx4MMaNexDTp0+H3W5HixYt8MILL2Dx4sV4/vnn3T7Lzz//HJMmTYKfn1+h97Ur5jIRVRirVhVcIatKTVXGgy+gG+Pi5LJBkrHl101o0bI16taOQYBJ0p4A8XbNDAD79u3DY489hunTp6N69er48MMPMXbsWFx33XXo2rUrAODo0aPo2LEjqlWrhoULFyIiIgIrVqzA6NGjceHCBTz55JMAgLS0NHTu3Bnx8fGYNm0a2rVrh/T0dPz2229ISEhAo0aNkJ2djR49euDff//FnDlz0KxZM2zZsgUvvfQS9u7di7Vr1+a5fRaLBcnJyXj88cdRs2ZNWK1W/PLLLxg6dCiWLl2KkSNHAgC2bduGnj17okePHkojJ1nA6BcMqwM4n5CA7l3aQ5J0eGL6M6hXrz72/rUdL77wAuLj47F06dJ8P5/85H6aKvctSIcA1Mvc3Dfys2yuXSQqY7DaZAGrVSAh1YGLRxxwyMCFVIeWVVeLty4GU7IEbM4bvhYHEGaC2zRqNpeHXAaYzUTXjA0bCq6QVR05oow1W0A3xsW9l62+GxYSjGdmzMDUqVPx2+aN6N69p9dcHjduHJYtW4bJkydj3rx5SE5Oxty5c9GxY0fs27cP1atXB1DwNak6JKNqyJAhuOOOOzB+/HgcOnQIzz77LP7++2/s2LFDm3bChAl4//33MWnSJNx0002Ij4/Hs88+i82bN2P37t2IjIwscLcCQKtWrbB06VLcd999eOaZZ7QhHtUHjwp7H/v+++/HoEGD8Omnn+L06dN44okncO+99+Z7fx+ovLkMFP2auaRyGShetjKXC1YhK2WpmPbs8akVr5u//lLm6dEjz0lytzJRyYDWbUNeYabXSXhl/sv45/hRvLfobby36G0YjUa0jmuDm2++CZMffhhBQUHa9M8884zbejt16oTGjRujW7du2L9/P5rl0UVFy5Yt4e/vj5CQELcuDAFg4cKF2L9/P3bs2IG4OKWbxl69eqFmzZoYNmwYfvzxRwwYMAA//fQTNm3ahDfffBOTJ08GoHQVZTKZMGPGjDz3j+rUqVOoWrUqAgMDC5wWAG669Tb0vTnnyW7hcKBLr4G4vm4NfLHqUzw8eTL8jYDFLmtlXrx4sdsyunbtql10A8oN9kGDBuHGG2/E4sWL8dprr7k1OLihSVMsen8JHLKABODfY0fw7jsLMX7iw3jjtVcgSRL69u2Lbdu2YeXKlXhjwZuwOwR27NyO5Us/xPMvvYIJDz+idcnfoWNntGneGG+99QZeeunlPLv+KA25u0zQ65SglgGE+evQt5EZ+8/aPcanyR0gkqR01ZBmEc7jWYJeklAlQEJUqE67YdwyxujRrdLBBJu2fkBpGeTtojZ31xSyEPjlaDaybQJ6Scp3XiKqwHbs8D6GbH6Sk5X5CqiULU4265xXMH26u1eKms1mLFz4FgYOyL8i9Prrr9caQAFK9vTr1w/x8fFYuHChVin72WefYdOmTfjggw9w//33a9Pn1XgpOTkZgwcPxokTJ7BlyxY0b94833KohBDaUzLnzp3D888/j6SkJHz44Ydu06lDYqjzdOzYEd27d0edOnXwww8/oHf/myAD2LF9K0aMHovhI+6HLJR9PPCmW2Ay5IxdIwAkJSVh9erV2pNLffv2RVZWFt599108+eSTqO3yGTocDqxfvx5msxmZVoGevfuheeN6eOG5Wfjm+5+h00l49qnHERQUjB9++Q0hISHQAbh1UF/IditefvllTJ48GSGhYdoNgth69bF85SrIwmWoHAHYbDY8+dQzuO+++xBgyrnIHD58OD744APMnDkTJufQFR9++CEsFkuejSILoyLlMuDZbdSBczb8l2SH2QDoJYm5TFRZHT2qDONTGAsXAvfdB+Rq7OOqOLl8OTkJmZmZiK0bq90oDjDB61hpqkuXLuGPP/7QsqZr167YsGEDPv30U+36cPbs2bBardi0aRNiYmIAAAMHDkRKSgrmzJmDcePGITQ0FAsWLMChQ4ewfv169O7dW1vH0KFDtf+/fPly7N+/H1988QVuv/12AMq1clBQEKZNm4b169ejT58+XrcvNDTUrdLU4XCgV69euHz5MhYsWKBVyrZv3x46nQ5Vq1ZF+/btkWmVYXWe0p97bg4uX76MrX8dQEytGMgAevfuhcCAADz++OOYNPUxtGh6Y5EaCXsbr12nk7RrZjVJvd3INxsk2B3K5y5JEnQADBKQKSs9YQQYlc+vLMZZ89bFoOtN27rherebtmo2l5dc5jUz0TXi4kVlDNnCmDcPuPVWoGrVPCcp7r1steLVzyhhwoQJWLhwIeY8+xQG7tjhkTXbt2/HBx98gNdeew2PPvqo9nqXLl3QsGFDvP7665g3bx6Agq9Jc/eKMXToUG3ov759+6J69eq455578MUXX+Cee+7BkSNH8P7772PixIl4y+X3TcuWLdGuXTu88cYbeOGFF/LcT65CQkLQpEkTAED9+vU97q97vY/dexCuj43G56s+xZTJkxFgkrT70P369cPChQu16ZOTk/Hkk0/i/PnziIqKyrMclTWXgaJdM5dkLgO8l13aKlz3xVQC/v67VOZza2UCeHRB7K3bBlfVqkbij9+3YNeuXXj55ZcxePBg/HP8GGY8/TSaNm3q1kXDf//9h7vvvhtRUVHQ6/UwGo3o5hzD5/Dhw4XeNAD4/vvv0aRJE7Ro0QJ2u137169fP0iShM2bNwMANm3aBAC455573Oa/u4AnhorKYcnA3Geno1WThogMNiE82IRa1UKRkZGBo0ePwM+otJB2OPf9kCFDPZZht9vx4osv4oYbboDJZILBYIDJZMLx48dx+PBh5wV9TguvfgMGQXa2jNVJQMNGjQEAffoPRKZVaMHZuHFjJCcnIyszA4FmCb/8uBaSJOHue+6F7LDD4bBDdthRPSoaTZo2x9Ytv+bb9Udp8OhuQZIQaFa6XOjbyAyjXoeWMUbEhOvdWgTlDh+jXhnUXIbSeko9nh0y4HDpXttbt0p1ww3a+qNC9OjZ0A9RIUqbJjU8vXUbtee0DdlWJTwdQuQ5LxFVcNu3l9p8xc1mAPj444+xa9cu7Nq1Cz/88ANGjRqFhx+e5PGUpzfvvfceWrVqBT8/PxgMBhiNRmzYsMEtq3/44Qf4+fl5HR4itxMnTqBDhw5ITU3F9u3bfa6QBYB169bBaDTCaDSiTp06+OCDD/DWW29pLXtViYmJGD9+PGJiYrQyq8NkHD58WOviqlVcW3y6Yjnmv/w8duzYDqvVBkiSlstWByDLQHBwsMdF89133w1ZlvHbb7+5vT506FBtLPgAk4TQ4GD0H3gTtv6+BQ6HA1lZWfht80bcdMutCAgIgN1uh9VuR2qmDQMGDEB2dja2b98OvU4pBwDcMWwojHoJOkkZN0andWEEDB16m0cuT5kyBYmJifjyyy8BKN1cvfvuuxg0aJDbkA9FVVFyGfDepWOmRcDuULrKCg/UMZeJKqujR4GsrMLNk5lZ4BM8JZHLBl3OjUUlL3R5VjK2aNHCrfGPn58fGjZsiJMnT2qvbdy4Eb169dIqZFWjR49GZmYmtm3bBkDJ64YNG7pVyOa2ceNGBAYGevRCpnZ5uGHDhny37csvv0SnTp0QFBSkZfBHH32U7zW+a9eTP/+wFp27dkd0VDQsNjvsNjtsNrvWo8bmzb8iwyKKNKyOms2un5nrNTOcn4l6I9+10bNep2SdSQ8EmSUtp016SbvxC5TNOGveuhhUbtrq0LC6Aa1qm6DXSR7ZXF5ymdfMRNeI48eBEycKN8+//yrz5aO4uaw2ZJYkCSaTCc8//zx2//Un/vfVlx7Tfv/995AkCffee6/bfeeoqCg0b95cu+8MFHxNmlvue9R33HEHDAaDdg9b/a+ax6q2bduicePGBeZzYXi9j101BBkZGTh25AiEcB+Pt3f/m91yWX3QyvW3ijeVNZeV8hf+mrkkcxngvezSxkrZa1FhLy59nM9syDkRGnVAsF/OxVFe3Sl5ExcXh2nTpuHLL7/EuXPn8MgjjyA+Pl5r8ZOeno4uXbpgx44deP7557F582bs2rULX3/9tbOYhd8+hyxw/vwF7N+/X7thq/4LDg6GEEKrFE5KSoLBYEBERITbMvJrveOqdu3auHjxYoHj36ruueceLH73HYwcPRb/++4HrP9tG9b/th2RkVWRnZ2F9Gz3HxAR1TzL8eijj+LZZ5/FrbfeijVr1mDHjh3YtWsXmjdvjqysLK1lmBpPYVXCtf8vC2hPylSpEu72o0R9PTs7G3qdhORLiRBCoF7taFQN9UP1UD9UDfVD1RAzdu3cjuSkS/l2/VEavHWZoJeUoN1/1g5ZCJ8uDKsHG6DexdYBCDbnbIfSyseWZxmC/XRoH2tGTLgeLWOMXi9qPbuNynYZTF35cZDXvERUweUa66Uk5yuJbG7cuDHi4uIQFxeH/v37Y/Hixejbty+efPJJpKSk5Dnf66+/jgkTJqBdu3b43//+h+3bt2PXrl3o37+/W1ZfvHgRNWrUgE6Xcz5zyEIbGw6A9t+dO3fi2LFjuPPOO/Mclz0vnTt3xq5du7B9+3Z88skniI2NxaRJk/D7779r08iyjL59++Lrr7/Gk08+iQ0bNmDnzp3Y7qwAz8rK0i7+ln38Ge66ZyQ+XrYE/Xt2xnUxVTH+/lH4Nz5By2UBoFq16h5lUX8zJCUleX3dtcV2tepRsFqtSEtLQ1JSEux2O95/921UDTFr/8KCzFrlsvp7Rb2QrFGjhnKx6hyPTb04DQgIQFRkqEcut2zZEl26dME77yhj1H7//feIj4/HpEmTCrW/81JRchnw1qVjNpIzZQSaJBj0yhNqzGWiSqqo42cXMF9xcjkyMhIBAQE4UYib0rmvWQGlxwvXHE5KSkJ0dLTHdDVq1NDed8gCiYkXtexVckr2qNxMSkpCVFSUR7ZUq1YNBoPBI/dcff3117jjjjtQs2ZNrFixAtu2bcOuXbswZsyYfMczd70pm5h4AT+u+x5VQ/0QFeaH6mF+CAsya0/0JCcleYwr56vcT1PJQrhdM7uOqOrtRr5ep1SgS5IEo16CyeB+47esxlnLq4vBgm7alpdc5jUz0TWiHOayN8OHD0erVq0wY8YM2Gzu570LFy5ACIHq1at73Hvevn27dh3nyzVp7uvl6tWru+Wyet9azV31v3nlfX75XFi572Nv+G07ftmi3Me2WLJgk5XuotXhdqqER7jlsjrMYEH39ytrLgNFu2YuyVwGeC+7tLFa+lrk718q8ymtTJQLHH+jb90pFcRoNGLWrFl44403cPDgQQBK69tz585h8+bN2tOxAPK9MZwfdWDw8IhI+Pn7Y+mSj5BtE7DLyqnL36SUXe1bPyIiAna7HUlJSW4XuefPn/dpff369cPPP/+MNWvWYPjw4flOe+XKFXz//fd4asZMTH18mvKiEMjKtuDy5WQIAY8uNvyMnie2FStWYMSIkXhm9vPaZyOEwMVLlxAaFubZMizXR6V3WWR+P0oiIyMhSRJ+3vAr9Eazx/sB/mYIIUq0YtZbNwkHE2xatwuF6QrJlRo+6rIzLAIX0h24kgXUCtOjbR3PLpzyE+ync1uPGp4qb91GqWqGGdz62889LxFVcPl0p1Tc+UojmwGl9epPP/2EY8eOoW3btl6nWbFiBbp37453333X7fW0XOPzVa1aFb///jtkWYZOp9NyWYZyoRVgUlq2AsCQ2+5ArZpRmDFjBmRZdhvOoCChoaHa8ATt2rVDu3bt0Lx5c0ycOBF79+6FTqfDwYMHsW/fPixbtgyjRo3S5v3nn3+0/69e/FWJjMRLr7yBl+a/jlOnTuGHtWvw3KyncSkxEV999wMA5XdEYuIFj7KovxmCQqu4tdg9czYBDlnAYs/J5cQL52EymRAcFAS9wQi9Xo8777oXUyc/5PX3St26dT3W561LLkmS8uySa/Lkybj99tuxe/duvP3222jYsGGe3U3mJguBo4lWNI0xV+hcBvLOZr1OQr0wPZrWMOY5LxFVcEUdP7uA+YqTy3q9Hr169cIPP/yAM2fOFLpxUl4iIiKQkJDg8fq5c+cAKDdLMywC4ZFVcfr0GS0HbTJgdwgEmnMaAkVERGDHjh0e13yJiYmw2+35jle3YsUK1K1bF6tWrXKb12Kx5Ft+15uyERGRuLFpUzwz6zmo9cWuN1Ojomt4jCunUvPX9XrZ9XPJfc2slyTYXTLcqJcgBPId41ctr80hYBNwe0yitMZZqyzXywCvmYmuaeUwl72RJAnz5s1Dnz598P7777u9p94z3bJli1bx6Ep9raBrUlnkXC/bnKfv+NMJCIqooeWykB1u963V/yYkJHj8fjh37pzP48kWxOt9bACW7GztPjbgfi/bkE8uZ1rlSpfLQOlkc0nnsrpM3ssuHayWvhbdcEOpzefaygQouDslV94uBIGcbhnUlrrqsnMHWO5xVPOSu2WwOjB43wGDcOK/f2EOCkfTlnFo2ToOLVrHoWmL1oiLi9O67OvhHFd35cqVbsv99NNPfVr/2LFjERUVhSeffBJnz571Oo361K8aOgZTzrbqJAkrln8Eh0M54cnOwFH3sLcKT0mSoDOYYHXkdNnw9ervce7sWcgyYNS5d/fgb1TGRZAk5TM1Oj8/ox4INOf9o+Smm26CEAKnz55Fy9bKPmzt/G/L1nG4/oamPnXJ5au8ukk4nezA9ngL0rJln7tC8kYNH50kIdhPhw6xZlxf3YAboww4dN6G5rUMiAlXgu1Esh1p2blveedf9v3nrNrnByg/RHQ69/1Tli2ziOgqyTUGS0nPV5xszsvevXsBKBWqeZEkySOr9+/fr3WDqFK73V22bBmAnFwGoLWidX3y9PFpM7BgwQLMnDkTTz31VJG3oUGDBnjyySdx4MABrFq1SiszkP9vDM+GTBJq166N+8c/hG49emPf3j3K61AaNaWlpeG7775zW97KlSuh0+nQtmNXt66UVn/7DZKuZGm5nJaWhp/WfY8uXbrAz2RAcGAAOnftjoMH9qJ58+bo3KEN2rWNQ5eObdCubRvExcV5PBVldRS+S64hQ4agdu3aeOyxx/DLL79g4sSJPjWoUm5oAwkpcoXPZfXCuH5VvVuXjmo5mc1Eldz11wMBAYWbJyAAaNSowMmKk8tPPfUUhBB44IEHYLVaPd632WxYs2ZNoYrdq1cvreGzq48//hgBAQFoGdcOMoA+ffvj+PFj+P7HDW7jt7k+3dKrVy+kp6fj22+/9ViW+n5e1K4fXfPm/PnzWL16tce0rtf0rrncb8AgHD50CHXrXYfWrePQolUcmrdqrV2P1nT2HpE709QGYa7Xy+pQBGp3x7mfpgrxc79mNhuUJ3ZNBVwzZ9tyhh4C4JYxvjy5UhiV6XqZuUx0jWvQAPDS+DRf9esr8xWgpK+Xe/fujT59+mDu3LlIT0/XXlfvmZ49e1bricr1X9OmTbX1A3lfkzpkuDwdqvz3s8+Ue9JqLn/xxRew2+3o3r07AKBnz54AlAZQrnbt2oXDhw/nm8/e5PU0q9f72AA+XrbE4z62ys/omcuAkpeVLZeB0s1m5nLFwSdlr0UtWwKtWgG7d/s+T+vWyjylqF+/fqhVqxZuvvlmNGrUCLIsY+/evXjttdcQFBSEKVOmAAA6duyIKlWqYPz48Zg1axaMRiNWrlyJffv2+bSepk2b4vPPP8eqVatQr149mM1m1L++CSZMmoI1336NAX26Y+LDU3Fjk6aQhIyzZ05h88Zf8Nhjj6Ft27bo3L03unTtiieffBIZGRmIi4vDH3/8gU8++cSn9YeGhmL16tW46aab0LJlS0yaNAkdOnTQxnhdsWIF9u3bh6FDhyIkJARdunbFWwteRUREBOrFxmL71t/w0UdLEBoWBiDn5qoaaUJ43lztP3AQPl2xHA2ub4QbmzTFvj27sXDBq6hRsxYElL7lA80SDM6FSZKEQJMEnc3ZlYdOHbg+/x8lnTp1wgMPPIBJ48Ziz+6/0LVLF4SHBuHk6XP4/Y8/cOONTTDl4Yk+7SdfeHaT4ND+dh2M3bWlUH6DmBck2E+HuuEGbI+3wGoHbHYlZNSWRhdSHT51w6AGsOsy9pyx4r9LDjhkgUBTTmvz0myZRUTlRLt2QJUqwOXLvs8THq7MdxUcPHgQdrtyck1KSsLXX3+N9evXY8iQIV6fylTddNNNeO655zBr1ix069YNR48exdy5c1G3bl1teQBw1113YenSpRg/fjyOHj2K7t27I8vqwI4dO9GwUSPcdntOrxJqBE2ePBlBQUF48MEHkXIlDW+9tRAGfeHbGj7++ON47733MGfOHNxxxx1o1KgR6tevj+nTp0MIgfDwcKxZswbr16/X5jEbJCQlp+Cm/r1w5/C70OTGRtCbg/Dnn7uw8ZefcNMtQwAoF8QOWWmVPGHCBJw6dQoNGzbEunXr8OGHH2LMA+MRE1MbNhlItzjHvtHrMfimfpgydSr0EJg3fz5SU1MxZ84cBJgkZNmAtxa+iW5du6BLly6YMGECYmNjkZaWhn/++Qdr1qzBxo0b3bZRreCVoVysuo67k1eLYb1ej4ceegjTpk1DYGCgx9hDebHahfKDRKr4ubz3jA0JqQ4cT7TDqIPb7x9mM9E14PrrgUmTAOcQOj6ZPBlo2LD0ygSgQ4cOePfddzFx4kS0bt0aEyZMwI033gibzYY9e/bg/fffR5MmTXDzzTf7vMxZs2bh+++/R48ePTBz5kyEh4dj5cqVWLt2LebPn4+oyDBkWgXGT5qCr//3Be6+YwimPDYNrePawGrJwh9bfsOtt9yEnj17YsSIEXjr7XcwatQoxMfHo2nTpvj999/x4osvYuDAgfmOR3vTTTfh66+/xsSJEzFs2DCcPn0azz33HKKjo3E815iATZs2xebNm7FmzRpUqx4FgzkI9Rtej5mz5uDXTb+gX8/OeGD8JNRv0BA2SzZOnTqF9T+tw+sL30Vs7VoevUR4axCm3fB2vh9g0nk8TRVognbNrOZEgCn/XDAZJK1FdVSI3i23Snqctcp0vcxcJrrGVa0KTJ8OjBvn+zzTphW9V6pimjdvHlq3bo3ExETceOONAJR7pg8++CDuu+8+/Pnnn+jatSsCAwORkJCA33//HU2bNsWECRMKvCY16JTrOteGt2tWfwO9wYDevXrjyOG/8dycmWjevDluv/12ZFplXNegIR588EG89dZb0Ol0GDBgAOLj4/Hss88iJiYGjzzySKG2r379+vD398fKlSvRuHFjBAUFoUaNGqhRo4b3+9hLPO9jq7Jtwmuviurd7cqUy8DVzWbmcvnFStlrUVgYMGsWMHiw7/PMnAmEhuY7SUHd/RTkmWeewerVq/HGG28gISEBFosF0dHR6N27N5566ik0btwYgHJzc+3atXjsscdw7733IjAwEIMHD8aqVavQyoeK4zlz5iAhIQEPPPAA0tLSUKdOHZw4cQKOwECs++VXLHh1HpYv+QAn40/Az98ftWrVRs9evVCnTh2lVY4sYcWqbzD76ccxf/58WK1WdOrUCevWrUMjH1pGA8pA6gcOHMAbb7yBL774AvPmzYPD4UBMTAx69eqFt99+W5v2s08/xeTJUzD7memw2+1o36Ejvv7+J9w59GZIUJ7QcW3X4m18nLcXvgmjwYg3Xn0ZGenpaNaiFT7+7Cu8MGcmJChhZbEL7cZsYT87V++//z7atWuPxe+/jyXvvwtZllGjRg2069ARnTu2K9aTWbnl102C62DsvnSF5Cq/biR8Dc/8lqsMaK/s5/+S7EhMtyPdolSOA4DFAYSZfOs2iogqgTp1gDlzlJu5vpozB6hdO99JipvLqvvuu0/7/6Ghoahbty5ef/11TJyYfyObGTNmIDMzEx999BHmz5+PG264Ae+99x6++eYbbN68WZvOYDBg3bp1eOmll/DZZ59hwYIFCA4Oxo1Nm6NX335uyxQCyLYLCAGMGTMGepM/HhgzCmnpGVi65EMYDXqftwsAgoKCMHPmTDz00ENYuXIlRo4ciTVr1mDKlCkYN24cDAYDevfujV9++QW1nftbr5MQEeqPtm3bYtVnKzAvPh42mw01Y2pjyqNPYOqjT+aUF8qYsO8uegePP/44Dhw4gPDwcDz11FOYNmN2ToMq538fGP8QbJZsPPHoVO0Cfu3atejYsaP22TVtciN2796N5557Ds888wwSExMRFhaGBg0aYODAgR7bqNNJCDRLbseCQa98/vm1GL7zzjsxbdo0jBgxAqEF/AZU+RklZcgD5wZV5FyWZaVLLKtDQNZLCND53qUjEVUSd94JvPcekJpa8LQhIcDtt+c7SUnl8gMPPIC2bdvijTfewLx583D+/HkYjUY0bNgQd999d6HHAL/++uuxdetWPP3003jooYeQlZWFxo0bY+nSpVqjnAAT4AgOxo+//IaXX5iD5Us+wPwX5yKsShW0bBWHkIgHIAsBWWfGd+t+wXNznsUrr7yCixcvombNmnj88ccxa9asfMtx3333ITExEe+99x6WLFmCevXqYfr06Thz5gzmzJnjNu2bb76Jhx56CMOHD0dmZia6duuGH37eiHp1auDPP//EzNlz8fabr+Hc2TMICg5GnTp10atPP4RVqaL1EuF6k9bfqHwerk8Aq4w65XpZ7UIxwKTTxtRVnsIpXKMw5ekdIDpIh6YxxasELUhFu15Wl70t3gKrTblBn3DFjpOX7TBIynUyc5noGtarl9IjxZEjBU/bqBHgfDo0LyWVy960bNkSd911l0eviosXL0b79u2xePFiLFq0SLtn2qlTJ21YIKPRmO81qTqWelp2zv3fTz77Ci+/MAdLP3gPkiSh/8Cb8NbCBbDDCJtd2c6Fby1C/fr18dFHH+Gdd95BaGgo+vfvj5deesnrGPT5CQgIwJIlSzBnzhz07dsXNpsNs2bNwuzZsz3uY3fq1Alr1v2EoYOV+9iQ3HtrtHvJZQDQu/yZO5f9jVKJfX5XM5eB0slm5nLFIwlvj9VRmUlNTUVoaCiuXLmCkJAQj/ezs7Nx4sQJ1K1bF35F7U8fAKxW4P33gYcfLnjat94CHnwQMOX9JXId/019CkMdZ0aH/G/6lTXXMXFcyXLOAOESlC4IHXLOjVM/g4RAc8mcmAsTJEXd10IIt5ZFgDK9On95/OxyH+/eQubAWRvOpSo3T1UmA9CzoV+Ryu3a+sdbC6m2dUz456LDrW9/VVSIPs9WQK7LrR6igxDAiSS7tp/9jEC2TTnO6kUY0DLGva//3C2XChp/oDIo6HxIdDVctVxOTgZmzFBu/hZk/HjghReUp2XzwFwunpLK5Zv79cTl5Es4ePCg1+0sz7n81ltvYfLkyTh48KDWuju33PspKysLx/45gQtSNGzI+T5UxFwONCktpm0OAbNeQnSowWPdrtnMXCa6Oq5aLqt+/RW45Zb8K2ZDQoDvvgO6dctzkkqZy0LpHUHNYZ3zQRPZ+ZpOAkL8ijdcgqvSvma+Wrlc4seoi4p8vey6bIsdkCRAyAKZNuF2zSwLMJedmMtUHlz1XN6/X2k0lV/FbKNGwKpVQLNmeU5SWXL55efnYN6Lc/HPqQuoEhFxTeRysJ8EWaDEPr+rncsHE2yoXUWPXSetbhWyRc1m5nL5UZhcrhxbTIVnMikVratX590tcatWyvsFVMgC+Y//lnucmdKmDgSutjdQW7E6ZO9lcBsbTjjHdRMCkJTQUv/ZXW78SlBORiVV3oLGr3Gldz7xYtJDGw+noD7y1WXm7ileBpBhFVp/8GX92eXHW5/7u09bcTTRjpRM9/2kdpOQe5wCX3i2IMp2a7108rIDLWoZC91fvutyL6TKuJwla2MWyADssoQqATo0rG5Aq9om6HVKy6yYcL3XCtmCxh8gogomPFypaH3rLaUr47ymeeutAitkgUqUywAkCLfzeUXKZV0ev7TLcy7v2bMHX3/9NebOnYvBgwfnWyGbez8pn51AanbFz2WLQ2mB3auhH2pHGNAyxphnNjOXiSqxbt2ATZuULhNzjzEbEKC8vmlTvhWyQOXMZbVjBHUuWQCOnF7sIUlSiW1XaV8zl+dc9lVFv152XbYE5ZZMutV9Xwswl4muec2aAd9/rzxoVL+++3v16yuvf/99vhWyQOXKZQDXVC5nWkW5+vzyklcWnUp2YMNRC7Ks7mUsajYzlysmdl98LTOZlFa/3bop48v+/TeQlQX4+wM33KBUyvrYXZ2/UWnhYHUIt+50ZSFg0kvwN16d1kWuLW9kIaCTlC4ObTJgc8gw6CRn13o55TEbJNgdyoWWQM7YMjrn3+o/1y0wG0pum3wbvyZXFw46ye01Nczykjuw1bHlAGjbrIW2y3xqlxCuSrN7j/x4624hJUuUeJe/BXUjcUOUATvjrUjJEvA35Axin5IF7Iy3ol1dk1ugqS2BbogywGYHEq7YkWUHHJacz9moA/wNyhNfDkfOvHl1TVHcrieIqJwKD1fGr7vlFmDHDmD7duDiRWUcnPbtlTFkC+iyWFUec1kIAbNRuUgTQsDugDYGjGuGaLkMZbwchywpVwBwVrwK98pYdZ7ymMt5lag85/KQIUNw/vx5dOnSBe/l8+S2t/1kdeQ8NVUZctlqB/695HBrPewtm5nLRJVcq1bKv/vuU57Myc4G/PyUJ3F8HEO2Muay+nfuRlKA0nW+t8wqqtK+Zi7Pueyr8nS9vPeMDVlWoTRwcmazxSaw/kg2OtQ1IdTffbiJ3Nl87oodaRYBWeQ0ujPqAJOOuUxEUCpf69cHbr0VOH48J5cbNPB5DNnKkstarAilEvZayGWbDJj07uPq5pfN5SmXrXaU+BA5zOWKiZWypFS89uih/Csiu0Pp3k0IZ2Wos0tBQDn5yUJy6wu+tGihIAQszi+3BCWkHAJwCAGHrISaeuJVWusA6Rb3ZblWxJZm+5qCxq8picB0DWxv3ToEmCVkWtxbIKldNbkOtJ77x0KACdpy7A7htl9LmreQMRuUY0+vA+qG6z26/M09GLsvXSXoJAktahndAgLIaUG0+4wV8cl25z4AwvzhvNgF4pPtMBiANrXN2vpcB0JvWsOA+GQbsu3KvDpJGSMhzF+CzVkZ60sA+zr+QGG2m4jKkdq1lX8FjE2Xn3KXy1DKY7ELl3wVSLc4n3p1yRA1l9XWrXYoF5FFeZqjKEoyl13HznVVnnM5Pj7ep+m87Sc1UQwSEMNcBsBcJqpUGjb0uRI2t8qayw5nNDvbTGmEEPA36dwyqzhK+5r5auZyaSkv18uHzttwNsWuPGEMJVvNeijdHVoENhyzoM/1fh5Pz7hm87GLNtidO1sHpZIhwHkznblMRJqqVX2uhM2tsuTyMzNn4ckZswDgmspls0GCTnKvDAY8s7m85bKybTnZ6K27YddsZi5X3lyuHFtBZcohC6RbZag9Ewi4j/HmkK9etwH+RqXlj+sJWQBaKKmtn3KXR6+TEOKnzOs6n7enZOGcP8uWf3cSvlJbBuX+Mnq7yCtIXl1eAPDaTYRRp1ygWWw5ldmys/tmtUsI12Gny7J7CDVkXLtb0EvuXf5mWgUMeoFaVZRuEgLNEvafsyItW/baVcKOE1YcvWDHthPZSMuWIQuBfWct2JmrX38gpxsJ1wNdCSQJal/XDgHYXPaBa0ughFQH1hzMRrZd+WzVH0h6nYQqAXpUD1aOAJMBCDJK+PlIFuyysnPtsoyfj2Th/BV7nvtCnTd31xPsIoLo2lMecxlQu7fJKZNb10pwL5PSilbnNj+gVJy5tvpV/z9z+ernstf9JEnQ6STERlauXK4bbsD5K/Y8s5m5TET5qey5rM7vmsuyUDKpJHIZKLlsrsy57Mv1sl4noUFVPYzOMeaC/XSQhcD+c1acv2IvkVyOraKH3fnElgTlxrnFAdgczgZQUPJY5S2bZdnl6S4JCDLrIOmUCgDmMhEVF3O54uaySa/sM4vdpXvjfLK5vOUy4DlETl7XzMzlyp3LrJSlYrPYhdtJP/d/r06MKdSTtF7yrEjVOZ8UMeqUE1Duk77adYH2pXApuPP2HlzfsjqQZ1/5hVFQP/muF3mucgeXQxZIzZZhdQZT7v78ASDApVWULJw/NJwtsZQQU07IDgHA2eIpy5az/txhX5iWUIUdIyE3WQjsPWPzCBm1y99050n7zGUZdocS2q4n7aMXbG5dJfx8JAvxyXZYHQIpWQL/Jtmw57QNxxIdiE+yw+Esp2tgnE91wGTUoWaoXju2U7KUllaSBBj1QLpF1gKiSbQRUSFKFxBZNoFsNewlwN+otEwKMElITJNhNEiICdejfoQBO09ZcTFdxk+HLbDalf9eTJex+R8Lzl+x57kvspxdT6gBKAuBbfEW7TP0NraAa/ASUeVQHnNZh5yKL9f3VAZntuTOCFkg52IvVy67/pe5nFNGVWnncl77CQKQHag0udw+1owMi5LBeWVzwhUbc5mI8lRZc1mNHwHPXAaUnMm2i2Lncs76C5fNFS2X07Jl7D9n1XoGUStLfb35WND1srqOHSetsNmBfy463G50bo23uuVTUXM5/rIDHeoYodMpx0amVXkqSHLeo3EIgdgqOd0kes1mSbnpa9QDwWZJG8vOZJSYy0RUbMzlipnLkiTBbJC0rPAlm8tjLqtD5DSJNiLDIvK8ZmYuV+5cZqVsBZXXDcGy4G+UYDI4T5DO1ySXfwadctK8GtQTuICE3L31ybLQujjwOhi5XSDNImsnW3V+yfk/utwVvepJGcVrWeOtn3xV7os8lbcB1dOdfbs7hNLlRUGtf9TWQupA8OrTxHqdcnJV3zMbJC04gZywV1shqWVWWy55u8mbYZGRXogB4FWux/nBBJt2EgY8Q2a7S6sgbydto0HpEsEhC2TahNbFhRDKkzUJVxw4n+qAWa/uH2X6ng39tDAyGYB6EQaEBOR0Y2KTlWVJAAKNSneHakC4tgQyG3I+Wz+DhFua+qN+pBGSy3Kb1TDhnyS79lmkZMr4ck8WUrKUfe8QwNZ4K3afsnrsC4dQjomkTBm/HLFoF9hWm4DNIbRwLqiLCCIqGuayd24Xa5J7NsvOc78EJde8ZUS6RXbrZsfbNrmsTFkumMullcsF7ifnOi6myz7nsrr/LmfmdLclBPDfJQfOptjLPJeD/XTYn2BzXuQDyZkyvt6Xk802GfjjP8/fKMxlorLFXPauJHNZnd+15K5dPQrkjAFX3CdRCpvN5TmX7Q5ZGUvO5SbvrlMW/P5f8Z4KKeh6+WCCzcuYbjnZbNIBJn1Od49FzeW64QZczBQIdu4HNZcF1C4TJcRfzilnntlslHBbc3/UCFU2xGwAOsSamctEFRRz2Tvmsu+5DPiezUadVLhctjOXVczlq4OVshWM0agceJmZmWVckhxqqx5vPRNIktLdTymOm+1GCwVnSxlXAoBdCCWsnF9s164LZCitYdXTqk5yPnGrVsiq4SY5Q03KefK2OH3luz6da9QBwS7dKKsXebl5637BtSWUjIJb/2ithVy302XQeD+DhECzBFmGW8slpe994dYKSW0J5S1kM60CFoeA3dl0qTDdRajHudFoRN1wgxZg3kKmXR2T9jfgedJuWsOE+lX1yHQOqA4oY95BOJ+syVTKr9dJiA03oGE1pRsJvU5Cyxij9rRMoFlyjsuTsz9lAdiF0h9/9WAdbogyYP85K1KzHFpLIL0kObveUH7cHThnR/NaBm25ap/4PRuaEeavNF9Sf5w4GwzBqAeMksDFDAd0Ovd9YdJL2o8Pq11oQS5JEsx6SRsbQ+WtiwgiKjzmcv7cLtaEcB/XBuq4N8p4794ywiGgnbMhSTDoJG0bVMzlq5fLBe0nmyUTDgHojQafcrlFLSN0OuW3mRDOGyFC2fYsm/I6gDLNZUDJ5hCzpLXCtjmvJ2VZOSb8jYK5TFROGI1GSJKEjIyMsi6KptLmMpRzqZpZ6s1Q9W81m0tqbLnCZHN5zuXLqRmw2oHDF6DdgIxPciAlU4ZDiCI/FVLQ9XLdcIPb0y/qslXRoQb0ut5c7FwO9lNyV9JJ2j6WRc69FkknoVF1vfa0keuTRIW5ZmYuE1UMzOX8MZcVvuQy4Fs2+xslZNpkZLvksj2fXE5JzYDNIZjLzOWrShLlqakKITU1FaGhobhy5QpCQkK8TpOQkICUlBRUq1YNAQEBJTZId1HZZeWJC28PVUhQTo5GHeBv8t4GwCErT6n6GZUvr9V5I9DkHLQ72yZgMkhuN9vy4pAFsqwCdqHUtOl0EmQ5J9TUAHLWxblzhp8kSTA4T/5ZNgG78wTiZ5KQZZXhEM7WDJIECQIGneRz+fIrt7oPJEnpkz2/7Va7W7bLnssSQjif7lXm00Hph9/bcSJEzoDnKtfpHbJAuvOzVefOvd/UxSqZKLm9r7bA0irJJXicPNV97ToIu8UuQ7Zm4eLFiwgNDcUlRGoDnec30LdDVk7iuQc279nQD5IE/Hw4G0mZOVurtDZzltXZAinMX0LPhn55fp77z1lxOtkBAaUrC4GcsSd0EnBjlAGyUAY6tzgEDDolxNSyuJYtJlzvdSB0q115QtbldxUkAGF+gM6ZYtVCdDAbJG1f2GWlZZHVLtzKLoRw9vPv2aV3VIgeLWPKb6D5cj4kKm0VMZeFUHp+yP0jFii7XJaRM6aNmssSnBe7kpLV3jJCr1N+yAvAI5uV5Sn5wlzOURq5nNe+AACLXYYBDqSlpeFKaiosumBcV6eGT7m857QN/yXZc24kiJwhYtWLNn+jhMFN/cs0lwFg95lsHDrncBvTGMjJZuYy0dVRmFwOCQlBSEgIDAZDmWYzc7n4uZx7PxSUzeUul4WAcDiQlZmGK1dScUUOQoahqpZDQii9OUmShIBcN6FzZ0NatpznNTGQ//Wyuh+9ZXP3BmbsP2svdi4DSjafSnY4b+4qy1BzOdRfglGn3Gw1GYAq/jpcSMvZw75mM3OZuUzlA3OZuXw1c1mdPr9szrTK+TYyVj9jWZZhs2Th0sWLzGXmcokoTC4b8n2XyqWoqCgAQGJiYhmXRGmxk21TWmvk/tKpf+sk5RF3b18YWQhY7HBWoCp/aycX55OpsjOZTHqlRYtRn1OpanPeXHNdtiwEbA7nScq53JxgU5ZlNkBbr8b5ul32vg6bA7BrT+u43Nh0ltVs8CxHXssqiZOHEFD6dXfZBqXjZmcBXeh1gNEgeYyLa7MLrz9C1OltDgGHA5CRsx7XXaZ2g+FwttLxMygncW/LVD5feOxzP0NO6zT1eBBCOW6qRYYhwRaB82kOXEh1oH2s2e3Er5Mk7e/cffU7ZAGLc9DyvWds0OuUsQoMOmg/TtSbtuoe83cGzc54KwLMEprW8AzNuuEGnE91ICVTaE9qqdsrC+CfS3b4G5QfAgZJWZderwRHi1pG7D2jdNmgtorKzS7LWH/UAkhK6ye1fAJAqgUIMcuoEWb0CCGDToc+jfw8gtwqAyYp54hwDVOluwzkeQOaiHxTnnIZUFqh2h3CLYedDUK1v692Lttl5SJRy15JGb/TrmaGBOUN4VImZ0YIeMlTu7OrI5m5fDVyGcJZBr2zDC6/p9R9p9frUSM6GqGhoZCc2VlQLv+X5IBJL7ShBBwuu08WyjFi0pVtLgNKNidccd+JajlTLUDDqhJax5iYy0TlRFRUFPz9/ZGYmIjU1NSyLg5zGd5z2bUspZHN5S2XBYAAkwGyfzVkZAcAyDn/S5KEuhF6pGTJHjdlXZ8KSXOO1261AzY73HKsoOtlwP2aWc1l5RpYwi9HLEi3imLncrCfDnWq6HE80a5UMkg5h5MsgCtZAsEmAYNep9z4lnKysDDXzMxlooqDucxcBoqfy4CP2WxXeqyA+6rcplMrsiUJcBhCkCFFAKi4ubz3jA3XVdXj5GWH1wpg5nL5w0rZCkiSJERHR6NatWqw2WxlWpajiVZcSHEg01kxK+mU8buybcoTtDod0La2CVWDvR9qRxOtSExRasiybc7uBJzvSVD68fczKCcSuw0w6SRUDdAhpooe+87aYJeVk0+zaCPOpTpQK9SAQLNyRy7DIuPMFTsaVM05GR2/aEONED1OJTtwMV32aHJR1U+HxtGeLS6OJloRf8kBqzO09c4Cqi1LjDqgfpgB11czaevee9YKmwxUDdChUZQRR87bcDFdhlEHtKhh0spZFLIQOJxgc9uGbGfoGJw/HkwGCTb1pCaA6ECdVj51mxJScuY3GuAxfYOqRm09GTbZrRITACIDdUpXTQ7lgrNukAGNo43YHm/JWRYAg14g1E+PpIz897nr8SBLBlxK1cPqbEaldg+R14nXta9+ddxYh1BCP+GKXQlaWfnbbJCcT9IoWyMBqOIvQRZKa+f4ZDsMeqU7RG+BWiVAhytZDvgbJChjNsjIsivLsTq7aAgwAjXDDB6h2DLGiIMJcGsV5WrjMYvW777O5YcCoIRvhs17dw15DSBvkJQfnGaDhOhC3IAmIt+Vp1wGgINnrYi/bFdyWQLC/HVIy87J2JgwPW6MMXudtzRzGfCezccSbciyAleyCpfLJ5nLVzWXIQAjAJvzJgEARAcp22AwGKDX691aM/uSy3aHgN0B1A7X40KajAxLTi4bdECAs/V5WeYyoGaz0HLZ+ZE4P3vgcpZgLhOVI5IkISwsDKGhoXA4HLDbC+5irjRdS7msdtsLOMd7k3Ia3NYJMqCpy7VcaWZzecnliEDJ2c2kBLvQo26wEe3qet6ANOqVuXJnhtWu3GhVG+R6jj3n0P4u6HoZyMlmh5zT5WGmUDLyikW5EV8SuXzysgNGHSDrJfgZlCx2HV/QKksw6HOeeMmwCLcniXy7ZmYuE1UUzGXmcknksrpdvmTzoXM2nLxs154KVZn0gF4Gsh3KzvAzGRAbaoYp3VFhc1mSJJxNsePkZTvMeslr5XBYgI65XM5Ujq24Run1euj1+oInLEVNY8zItFuRnqJ8g/xNOjiEgF0HBJiBLvXNCPHPu4xNY8ywQ/liGUyA1Tn+CqDcUDUYJTiU/n5gsSmhcTYDOJYsYBdGGHVAkE6Hv84BDlmHxEygfawJwX46+PkBEaHu62te2x/7z1lxPlOnjajs2uLibIZA0kmg9/Vmt1Yl1UMDcDbNgvRMtVJP+a9V6/pWQmxVM/z8lG09lmxFtqw0QzqfCSSfAqx2I6BTKgbPZujRLDTvk3J+XR8E++mc2wC3bdBJAnaLgFUA/gYdujfycztp1atmhp/LibNeNRMSMy15tnypV82MAD8dmtUx47sD2bBAwJGrnOed+0MA0AlA1ulw5JIe2bLZbcTqNKtAssU5iHqufX4+EzBeVro+cD0egMIN5l033IALqUr4mQwSdDpJGc/HIXDFIRDsJyHAqFRqWh0CAUYJNp1S0WnSA5FBekgATiQr6zYb8g7URtWMSMmUtX3XtIYZaw5mIdvuHDtBn9N6Sq+T0MzlO5C7VVRuzaKN2PyPxdmaDvA3Ka2KHEIJXaMOWH8kG70bmWHQ6ZCa5cD2k1aE+etw/orD+RSSQIifDnaH0srKICndh6g/Gny5AU1EhVcechkAGtQw4kKWFRlWGf4mHbJlJZdlSaB2FQPaxZo8fhCrfM1lvQ4QdoE0B2BJFzh+GbDLRugkIBAS/joneeQyAK/ZrDPqkZzmYC5XgFx2yDnbGBWiR9N8ug7yJZcDTRKy7QIJVxww6JTjSs3lQJMOkgRYLMqHWla5DORks82h/BYNMedkM6DekJGZy0TljCRJMBgMMBjK9rbHtZLLFzKsSM4UsAu1y17nU0fO65rLVh1syFl3cbK5wuRyhkvPFADOpcrYedLqcQPySjaQkuXwnssuT4U0iTbCZkeRrpeBnGxOyVLGYg8wSciwykjJFsqxYlJ6CCtuLqvr0Wu5bMgzl3WShGA/Kd8niXJjLhNVTOUll1vVMyPzXwvOpDgQbJZgERIMJoEsi0CtMD3a1Tczl8thLgO+ZbOfWQIMOtigR+5OMq0O55Oyzmtm2Q5kWOUKnctCVj5jgy6nfLmzWRKAv0kqF7ksC4Hdp6xIzHDAZlc+Ez9nz6U6ScDqkK6JXK4cW0FlJsOi9MNvdyhfHiHLyLQJ2OxKdw6ZVm8dBeTQSZLzBpnSQiPA5BwDzfm+DECnEzDolb7EM23C+UV23nx1AFk2WetWOPdg22nZMvafs0J2NguShYDVJqDTKX+7DrRtcwikZSt9+e85bYPNIePnw9mIT7LjQIINYf56mA3KSc7m7DIAknIy9zdKOHk55xIsv4G6Czopq10fnE52YM9pmzbI+OlkB7bHW5CWLXsdLLxmqAGBZmVA8w51TV4H9nYV7KdD+1gzYsL1aFBVj0Pnbdpg3W3rmHAi2Y4rWQ5sOGpBtk24tSxSqSEGKIGeYskJIgBaGc165zgJNpHn4Oaux4NOJ5xPXzt/2OiVrjLUFkHeuG5P70ZmRIfoYTbmlC/bprT8EVCOnSybQKif0oIt0KRDYpoMo0FCw2p6xEYYtPHmvH12rutqXsuAA+eU1kgmvXKDWa+TtNZT6rHnq6hQA7pfZ4a/UYK/Xul3P8SsBG6AUTnmkzKVfvdTMh1YfzQbF9NlxCfZkWFVvh82ByApnWjB6rzQbObSck4N08oSZESUIy1budlnl51PJTpzWemiCagdrsu32yH1PGwyKJkpSQI6KNnsb5SQZVdyr12sEXZZOcdkWKHlsl0G0iwCFpt7Lweu5WMuM5cBJZd1OqVlr8Xu/B1olBBkUnJZgnJMhfhLZZrLgJLNMVX00OuUC0ydTofIQOVY00lKJTdzmYi8uZZyuVkNE6oE6rQue9WLep1OuXFoy7XuomZzWeRyyxgjMq0CBr1ArSrK9IFmCfvOWvHz4WyP7hhVAjlD5pj0ymdyJqVsctl1mxpW06NepB6yEFr5lGEKdMxlMJeJKrsMS8544JlW5VyaaVWur9Itcr7n0vKUyw6hPF15OVPG7tNWOGSB3aetOHrBjj1nK18uA75dM/95yoITScpTst4iRs09naT0LnXWpdvdouay6f/s/WmMXUd6349/q+osd+mN3Vyam9hNSSSloTTSaGZEjT2xrRmNPfn94qz/OAngxEj8wsiLxDaMAI4TwMiLGA4CYxAkjoEkBpwXQfzCmZ8TxLFHGs1MPB5Js0miqBE3sbu5dZPN3m73Xc5SVf8XT9U5596+W6/sJs8XoER23+WcOufUp+qpp76Pk7pDaa3hOcDzxx1cmo2w2mjjtdxyPlvhsucyfPGMj+PDabJD67X71BPenuCyVBrvTIe4Nh9jqapRaWiEUqMeazhMoxZSjebHgcuPzpnkeii6sRBjsaYQG7CsNGjRSGqgGmp8Zzrs2vkorfHdmRBLNYUw1lhpUKFuqchHf61BE7+VOi3YSoWmouDWA93a5WUh0QkKVKya4fAQx4snacfE04cEGjFZTgQxMFuR+J8fNLBQIxjbBeOSxxP/fRP7NVkfGs+OO1Ba4+LdENVAJ51yVq3e8+203vqgQVYGWmO5rnFjIcZggeOzpzy4DvD0IZGAa2LMwWtnCxg2O0B6dVqDBY7JUQfvzIS4tSjx/u0Ynxh3cX1e4taixNevBqiFKgGZAHWmrWKgguqffcJdB9nxITq+kRLDpJnQdgKt0hrfnQ6xXKNO2cJsua5x5X6MtwzMO2mwwPH8MQ8O53jhhAulTDYYAyJFNSOYOWDBgeMHBE4MC9QjDVdonB4j646Sy5IBT6drZ7/rR3Mx5ioyKf5e9NIGouypjVuZjg/TdSx41C7HRlz8/14soezT/cdBA7tvXAvQMPdKINMFCQBYrJEViCco0+p+tXO75cqV69HR1GKMWqixGlDAyXJZa+oj/u/1ECv11n0cqayFTD3SWAu0KUdASVKVBgWRl2oK37kRUQ0apDFI2wUxUBIMkHM553J3Lq8FCh6nLGAFsq36qTM+HE67WHwHeGXCf+hcBigT+tAAB+cc40MCXzxXwliJJ/WZci7nypWrnR4nLt9bkxgr8qS+t5XUZIl4ZIjj2XEHF+9SjCAbyMyqF5t3m8vPH/NQDTTeng5we4kS0ksew7u3Ily9H2OloZO6bAydg2yMAceHBYaL6bXYbS7bc/rkcR8vnvCaAtOxQs7lXLlyPRb66F6ExRotwoYSZmGI+vHFmsZH9zr3S3uFyy+edOFyBm3i5DceSHz9agM3TImf5ZrCraX4keMy0HvOfGtJIZIplwsdzMwYaPfoUAHJtdgMl9+7HaEe0gK5ZXMQaXztcoCbmYXpbuezES7/7HNFjJU4ahHVm31lwsdAgVPd3y5s3gtcfvNqA7eXJRTS+sZakwX1WmiuGcNjweV8UTbXFtW8U0OjeZeGVLop66ZVl2YjehjNpFSqNGNFA8lir9KUPaHMzzlv+T6tm7JDVxsKb00HVCAddtJYx50V+oFSVFeUM0bQmwlRdil7NZQay3WVeKsrAJ5gYIxDK508NMxMvGAyqy7NRkkm0FvTAb47vd6WqJ+sk3aZSVJrVAOacFFBc43r87TN/52ZFJ6dwNUu08pCtxM8Adp9FBrrAYfTrpt2O3MAaoOZJdWUTZyF1o+fLuDTp/yuWS6XZiPcXpFJxyxNBlmkKHi7Uu9+P1lZKLqCwc1EqxXoXDwOnB5zMDnqYNV4XQ4WBEoeo6yy+zGWazqpOWuvQ7tr1y7bq1321EbVmpktOMMXz/kYK3GUfQbBWNP5+YKsUrgZ4QnOUHQ5Si7D8WGnp2VGrly5Hg2dP+oabtK/FVI7Wwbi3zszYcf325omiSsF0l0e0nAv1sSVRqST/pqxpOwolAZ83pwdOrcS51xuUSc2X74fPTZclpqCpCUXGCtxXJh08b2ZELECHMHwmSc8XJ2Pcy7nypVr32q7uBzEzfPkJi6rjXN5taFw5V6E5TottFre3FiIIbXeFJcBhnurihbskHJZa7Le41zj/dtxsnNmpS7b1hLrxebd5nK3ObPvmAC7Sfr1RRpkbFUogZLP8ErO5ZzLuXLleqharqtkB6UG9X3Jwqmm33dSP1yWij6jFu4cly/NRjg6THVAtQYCqfFgVSVWyoIDSw392HEZoDkyNzacnqD4RTtpc13GSmJLXJ6rkDW+3UQTGTbbsVLrbuh26pfLXzznU7LfFmLZD5PLYUw7yl3OyDJZpEnbCoArGIYK/LHgcr4om2tLOj3mYqyUWg5znmb9CA6cGOn+EE2OOhjwWTunH8B8jrV3yPb92b/b4tQ2O/TbNwJ8+0YDYaTJWx0UmKxFBASpdZKJZLOQwhjggqPoIMlytaAqOAxfOOtjclQgkARUlzO4DkuAGkpgdkUlAFipa9xeWW9LBLTPOsmChjOG5487CGTakTYisrsqOsC9VYWvX6kTmFX7zj37eXaB+sq9GO9Mh+tsJE4dEB3tKY4PO/iZZ3yMlTmG2lwne61tGwSxTjJvWqEFoCNMrSZHHQwXaLLkcsriEQZGHMCJkd5+/EAKRQbKrhEpzyA1IATDiyc9zCzRgKDkMixWFd682sDUgkSk6DoHsve1awedXnYb/SrblqsNhR/NxfjCWbI21qD73nfIbqPkkuWEtU3J1j3otQssV65cj444Y3j1aS/ZPWnZzBn9KbjAhVOda4FMjjrgnLjbsdcwiVSCpQNJG2A2v8ZahCQ7dGohxjevB6gHat9wGUhZClA/6go6ZqmoRIPOvP/Nqw3MrsSoRWTr2I3LdDxkpze9EK+zeFqqKYyWUnY86lyOFCDB8Nq5Am4uUT0fBgpmfO9mmHM5V65c+1rbwWXPofqd7ZwRgDSZuV8u31yU+PaNAPfX4sSyUQNYMrsvq4HGaJlvmMunx5yElSLDZXsMN+YVZjM1196ZCdta7APd58zA7nK525xZMLLyfXbcwZlDDnSXrl1p4M6yRNlnOZdzLufKlesh6sIpDyU3nTtlY9mlDXC5dQeqld1QFCtaCAW2n8u3FiVixXBqVCS1YmPzfw5gcszBy6e8x47LAM2Zv/yMj0NlTjtM26yxMxCXVwONpw87W+Ky51C8fqTIMVjgcDlLFmh9p7/asv1y2eEcU4vxlmLZD5PLtUhDaY2REsNIMeUykLLZf0y4/HAra+fa9yr7DENFByuNONlRw03BbE8wfPqJ7g/RYIHj4ADHWkMhiJuzShlo4qlBg2ipU0i27s6NJMwESGOppuEK2oKvlcZaqJPC0tYa2T7cU4tRMsnQWmMlWJ/Z6jsMF+/EcARlbChNWR2e0CYbid6/FpC3O0CTodWGRCTbFx7PZp1kJ7pRTFlSX7scoB7R7p+Cm9bQrQTAkK+wHFKnHEtgYrS5c2/9PKk0HqxRvZTphRjLdYW1gCYnYUw191444TYVAQfSyYngDK+dE3jzagPVKG14BuDwICPrJGUW5jtc6uwxVQONokfHfq9CAfMDJY5zh6n2zCuTBXy8EGF+VaEe0sK6y4GhAsenn3CbCsV3ki2UHsR0TAMeo1rH5jgdRplCnzzhrCvI7jt0bILD2FR4Ha+dlYWOla0/UfapQbIF7gFaRD9vvPGzv+uWHfb2dIAg0ri1JKm+cqgRSRroMMBYV6X3by3UKHlpTQBbHD1XrlyPtpTWuLGgMOgDq0HaLzMT/H31aR9DxQ7+PchwOdBwuE4s37JijGxzGmZBtF3PYnduKOh0kVAxiH3AZaCZW2GsTca0TthbcMm+MYiR1HNLOMMYTh0QbT8riulcv/1xiGqoTQ2bGIs1ieU6sRkxQ2mAYS1EzuWcy7ly5drn2g4uX5jw8dY01ROXHTZaCA40zC6NXlz2MsXlSi79fLWhm3hb9LBhLr940sVoSWClIVF0GaDJbq8WUV8fSAoyl1yG8SGqBffODLlYbGTOvNtc7jVn/uwpqoMnlcZ8VeLBmk4C0Q6j19RjKjkgFQVes4xqd0xPHhR4e5p2qN6rSHz2FCUUT446OZfbKOdyrly5NqKBAsf4sMDUgky4zDnFXceHBQZ6WOdaLjOtsdxoW1Icgqc7adtRfqtcBoC5ikIQ66bvz/59sMAfSy5n58xfu1xHUE1XxAWAggfUo9TaeGZJ4vmWsdhGuHxhwsfUYoxnjjj45rWASi+GQMmjOIXdDd2NY/1y+cWTLs4fdbfM5ofGZUXlPOqRTjbi2ftcgV4DsMeCy0zbJyPXnlClUsHw8DBWVlYwNDT0sA+npy7eDXFzgTJdIplu/bcqOMBrZwtdJ5qxUvizjwIsVtX6HR920qqpM5OaYcBnWKqpBG6+Y6wXFHWuE2MCLgemFyVZImc+1OVUL+ToEGWDAMC7tyLMViQqDdVUr9b6/gsOlD2GYyMCyzXVBKcf3gpxfZ56f7sV33OAV88UUDOZP706rYt3yQPfyvrPW9kFaQBJLbZk0ADg2XEXnzzhtf08axdhz8tmf2nz3okxB5855eL923FTNpTV+BAVALe/l4pqJkgALgOGixxjZWBqUUEw4NQBgXPjHso+azpXe0z2eACyCyp5DDUzkRwpMlyY8FH2qT7PneUY1dDugKJBAuMMWtM175W9Y3cI045pBq0pSO0wJNnEJ0cFPjHu4s2rjSaICw6MD6fZPf0AJ/u9377RwFoAHB/iKPscYawwvaRQcDQCyeBx4PiIs26A0+mcbPvVIsqS40itz6zfPpBaZ9l7wzHJCfZcWyf/e137rT/M9Whqv92H28FlpTV+eDPEtfkYUYesUkeQDZzUlMlYCzWkSi17APq7ADBQYDT5C3VSrsBqL3LZtqNlaS2imuSq5Tg0TNYtI7bYcx8scDyR6XNbOS84sFhVSTsUXGbGMdS/nxoV8AQztYOa1Y3LHqfF50pDYaWh4QjgtTM+ZpYVJg4ITJtJY87lnMub1X7rD3M9mtpv9+F2cBmgOfP/vlTHSqP9711OfXG/XD46xPFgjXghdetnMZw+KPCpk9RHdeKy7eNcDnDOMDEmcO6wmwQxx4cEnjvm4H9daqARU19Z9hmKLsOrZwoQnCUWhBuZM+82lzc6Zw5jharZkOJwYKhAC7b1CBguAGNlB2cOO225DNAcvmYS2Ow4yTHBfbsIfH1e5lzOKOfy/ugPcz2a2o/34ft3yE0wMslMlhkA9RNPHxT4zESh62fESuFPPmxgud5+WYUz6iuFSWhu5TJj6YajQZ/6PCUVri+opn4LaM/luQr1eY0oXZRt6uMY8NQhB88cybm801zerjlzv1x+/pgHqfS2sXk3ucyx3k46e2/Ykhgllz3yXN78fuRcj426ebhPjjoIFdIJJpotkxoR8MbV7gWtfzQXQ7cAx0rrdMes1Aynxxx86VwBk2MOCqamjcdTkHkO8OknPIAxBJKs+2zagWCpRY3dum+LmEeyuTYuA1A2m0+psLbGiWGOkRLHkUEqrG4XRx3BksAvkPq1d7Ilau2sWr33BU/bcKTI8dc/WcBIkUGp9dlXgsMcu277eXb3sbWL1LrZ+rnoISnwbWUtDqSmYuxvXg0wV5HQWiOQwFCR2l0BWKwr3F9TcAVDrIBrDyS+c6OOd6ZD3Fwkq4m5lTg5Jns8CgRTui80ig4SG+bt8uMfLHC8MuHDN5Oso8MOXj3jw3MIbJ4DnBrheP1yI6mHZCUVIGV6Q/ZTaN7q8v0IyzWNINb4eFHig9kIV+clglhjqU4BkrVQ485y3FTzIHtOrc/cs+MOBAccloLM5cCgl9bFKTgMoyXy5Xc5MFZmODGy9ZoAuXLl2pvqxObDZb5lLnNTg6s1SGtlE3vAWFKH62eeKWCszHGgSAuwlulCUMD58IBAuE+4DDSz1M90ny5neOqQg6cOiqQtGJqzOxmjfrvdZwHEM83SJKtI6qT2D/1eNS3I9sPlgsNQcICbSxKVQBuXEYbXrwSYeRAl1k85l3Mu58qVa2e0k1wGaM4WZvrBVnETie2XywA5MkQZLnOk1nH3Kmodl1vT+R2T8BsYu/wHawqX70d47ihZ4H3yhIMP7sbwHQYvw+ZsfbNOFvvd5sy7zeWNzpljzTBSTOu+L9Y01kI6tpUGMLsSd+QyQHN4OwaLlEYQK8TmB1l7yZ3g8l99rohDAwK1SMMVGhMHBN69HWK5TuUmrLaLyzcWJT6ci3D5fsrleqhRCTRuLkUduQw0P3Pnj7o4MsihtE6uf87lXLkeb3WLZUcx0nrvGvAc6heUov5tZln2xWW7E7+TPAGUPb6Oy4KT3S1A748V8PwxFws1+n5bHqAblz2HdqBm0WzrnNu6tjeX4pzLu8Dl7Zoz98PlyVEHsVLbOmfeVS77DCMFsmcWjMakgwVO1s8+xTR85/Hgcr4om6ursl717TzcAeBzEx6EmZA5PK1lYzN0Iqlx+f76Wm1Wpw4IslvQ7WGmNTDgA08f4vjkCQcfzkV4Zlxg0OcouQyxJl9yzmhC+L8uNTC1EDfVVXM5bf23i5P24baFtFvrAHAGrEYpPEoew/t3YtyvKCzVFaoB7SKaWiALCLsTpxbRZKVTfbp2ygIVoCBq2acJ9ZfO+fAdgWPDPLG4YiwDZpd20mS/K/t5RZfBYeniNgOSRhackf3xAbGuwPdomdMOW6lRcFhSF0BrwBMcRYcldtK1kGrehpIGEvNV4PZyjFqoUY80vjMdohpovHDCxUixuWA5zDkwxhKP/e3y4weaffKfOiTwvRmymnAEw2ee8PDWdISFmkpqGvZTY7CXPMEgTBaUzcyVutlyWyqgEeumjKZsPcVv36CsvR/eohrA792OsNKgzK6CQ99RdKimwOefcjFa5Dg1yvFjp32cPUIZXgfKAp8Yd7alJkCuXLn2lrqx+YPZCC8ccxMuu4L602ySk4DGW9OdA8DKZIIy3fbXAICiC3zhaQ8nDnA4gpjyxXM+HE6TTMvlWAEPqhrXHuw8ly/NRrhr6sZyw2UNYvOdlXhDfXqWpZbLnmA4UGL41EkPvkvZok6Gy4DJClYaP5qL234WtR2xGTptDyvBGQZ9DlfQT/vl8pEBjmqmfZSZANYiYCWgoP9akHN5O7m8Gig0jL2UZ7Kgix7D6TGB4QLLuZwr12OkneYyQHPmdauiGRU2wOWFqsbUQgxlOkLL5UGfXlsLNdw2XOYsna8LZmqcmfMoewyrDY3pBTrnyVEHP5qLcWclRj3SKLqsqZ7YfuLyVufMAHEmjIFGDCx34bKdw1s2cwC+IC7b775wytsRLr940kUt1FgNlfkdWXveeCCTmobZ8dmWuQxisS2DpXQar1AaqIZoCjhnz2nOBNBvZp65+apEbBZUHJZzOVeux1m9YtknRgR8h6DmO5RoKQ2CBSdnwH64zNC8KJqVw4GjQwLHR9g6LttYNjMT5EZMsexK5vs4687lMKYdpNma9UGcznGsfXLO5Z3n8nbOmXtxueQxvHE52NY5825y2XOAkyMCx4cFRkoMr53z8cSowGvnPHguw+cmPEyMOY8Fl/fl2f3u7/4uJicnUSgU8NJLL+HP//zPu77+W9/6Fl566SUUCgWcPn0av/d7v7fuNX/0R3+EZ599Fr7v49lnn8VXv/rVpt//5m/+JhhjTX/Gx8ebXqO1xm/+5m/i2LFjKBaL+Mmf/El8+OGHWz/hh6ipxTjjVS/bZkSMDzv48rMFjBQ5pAIiTfDwhJ24kd1wJ5jNLEm4HOsmelYa1EmCMbx/O8atRYk3r4YIYypUXnRsti+pFtHOEZhjKLlpgFEr3bS93mayCGaKSzM6juyRkqWEbsqCuXIvos5FUuD68CBldWhjA8h5/xkdSmt8d4ayT23XxhntPP3+zQixUmhElEXCGIHdEQbMkYbDFcJIJ+2bBTQDWUnZdrQdajbTanpJrivwXfLMTiMzuVaa2q/kMTRiylASpq2KLksGL4ApLi8pe8jlFKi8sRAlx1TKFPFW5nq5Qif1BC2AnhhzzKI0vcdmcRVdtqGC3zbLa2ZJJm0SxhpvXgsQRIp2uGhKHvjME16SCdUtK6ddxt33bgb4/kyATxx1MDnW3n6MgQIY9silpgGCrXkAAN/+OMBiTaERa1yfj/HHH9Rx/X6cDK7WIsDjGvWYYPjWVAzNNOZXNa7PS5w/6kIqhvsVhXdmwr4spHLlyrW/1IvNa5HGl5+lTFxfUB0zgBhScgHH4Qhj4O0OE81LsxEWawquk0noaVEjBqaWJGLJcHuJJrfv3o4gFTHXzbg+SJOpS1Y0/XN5qECfw9j6+nVS6XXZqYfLHLWQ7HEYA37iKR+MmbIAocbhcv99YaUu8frlBgLTdpY59YgYO3FAUN2hDJddM34IYo0gVG25DKRstlxGSxb0Uk1jtCQ2xOUHNQXHBNSLLmtacFQ6tY/KudyszXL54/kY9YgWJEKZZk4v1zWmlyTWAo25FZVzOVeux0Q7zWWA5sw28QZYz+Zq2D+XFSiZOVTEZV+QZT0zO20ZAw6U+Pr5sk+17hy+nssUpGt2WthOLrfOmQUj/izX6ec7yeWtzpkdE+ewaNY9uGyTz6wTAwWUUzYNFcWOcJlqFcaIYronbi9L3FmhwCrMMR8os01z+eLdEHMrMQCNiTHRtsZiNgEdoOTvVi5/fybAn98IUA011gKFGwsx/vj9OubXdFLiytps51zOlevxVC8u368qfPGsj0OGy7WIxvOCkztTv1z2BNnYAuu5rDRZ8M5V9Doud4plh4p44XBgrISuXAaIhSPGEQOWM+ZA7Jgh5/LOc3m758zduPz1K3WEMe0+jTWVKXz1TKEnm/cSl6/Mx5itSMQx8PG8wifGXXxwRyKKgUtz8WPD5X13hn/4h3+IX/7lX8Zv/MZv4N1338XnP/95fPnLX8bNmzfbvn5qagp/+S//ZXz+85/Hu+++i3/+z/85/sk/+Sf4oz/6o+Q1b731Fn7u534OP//zP4/3338fP//zP4+//bf/Nt55552mz/rEJz6B2dnZ5M8HH3zQ9Pt/82/+DX7nd34H//7f/3t873vfw/j4OF577TWsrq5uf0PskDrZs0mVBj6tshkRw0WBEyMisUWKbWaFpk4o6rJFf3LUQdFjKLvUKXLeHCADKOA1u6IS8Dg89SA/Ouzgr5wvouDQO+wWeA7g9EEHf+35Eo4OU4fkuwyvZLItJkcdcA5UQwWlNIb99Q+F1saaKZMF4zqAUtTRMwYs1STuryqUXAZHMBwc4H13ID+8GWJ6IU4g6JoaQKHUmHoQ4/97v4GFNYmyT5lCsbGHAqhzjBXHvVWVDBYuzZKHPRUEV2Q1Zc/FnI+t7WczrVrtKZ475uH0mJN41tvJPANl0PiCYcinxdiVRnNemIWm3clLbc/INgK2aHeqSJFdhLXKAAhA54+6uHgnTgHorrfV2Iis9YRUGlWzizeQFAjxjHXH926GePqQ6Jot2y7j7p2pENfvx7g2H+O70/T8dOKsBmXI+y5DNaDrvFTT+OGtED+8GaLSMPWSNd33awENzJL3a6AS0O8A2tmzXKO2mKtIfO1yHTcWYqo9ENNAwlq05MqVa/+p3eBZa2C0lPZP7dg8XBR47VwBEqzJxr4ep7tzOtnn2CxPX5gJSx9cDmOAaZoEMMYwOeZgbICyQ617hmD9c7kWaRwsc4yWQIFAnX6/Nt9nezV7zverxGFP0GLvt64HtOhrapLcr/bXD642FN64StmntZAYGsQ62SVycynC16+FcDhN2iyXlabgdqyB6aX2XI6VQiBpQdlO/JQmFmWzoM8ecTfEZY+TNRYDsBauz9i2k/Kcy+u1GS4HLaWLIglUGjpZpI0ULXjkXM6V69HTw+AyQHwc8I2VH2jHhcj0a1L3z2UASVCy7DE8edDFF84WMT4kwEyA99xhN/neLJcHjeUcWrgslbFNzDgtbBeXgd5z5tev7CyXtzJntrtOsrLJ0q1ctu0ZxGltvkjRfdJqL7ndXAaIzaMljqpp27WA2oKZGMtKXW+Ky+/eijD9IMY3rweYXpS4vyrbZv3ZwDgYsTlWWMflGwuUGGW5XI80ai2PjdI5l3Plelz0MLlcsHFsE8vOdmtS0bwszCQSWy4DXWLZDHj6kIMvniv15PKBEoMniH3JrlLT9aucy7vKZWDn5sxZLi/XdXLPCUbtWws1XjzpdmTzXufym1cbyfUPIo2pxbjJbvxR1b5blP2d3/kd/KN/9I/wi7/4i3jmmWfwla98BSdPnsR//I//se3rf+/3fg9PPPEEvvKVr+CZZ57BL/7iL+If/sN/iH/7b/9t8pqvfOUreO211/Drv/7rOHfuHH79138dX/jCF/CVr3yl6bMcx8H4+Hjy59ChQ8nvtNb4yle+gt/4jd/A3/gbfwPnz5/HH/zBH6BWq+G//bf/1vF8giBApVJp+vOw1O4hff92jFgZW97MtotsNghA0Itks52NMn9qocaRId5xi77NJin6HCWPMmdcAZQ86qwZowc7+yAeH3bwxTN+W0/8AZ/+OIIl/vPdOidAIzZ1fuoxdQzZPlKDMo+zWTDPHaOdG8LYTkTGs50xqnv70sn+C1Hrpk7PRJ5BgwipaddGYIpiZ9s3lMYvPrNgnmQ+RRphTJMo2QY09DOdZFq1qtU6AqDvCaTGT52hc18LdVKDoRUp1hYwkBrPH3dweowC/DaDuuSlO3Y56DrfWIjxw5th8hnZ7C8AW7ZjsOcUa6wDadFl4AaS00uyq+d+u4y72ysyud+nFiSu3ZdNu5Ss7GCCMSCIdPLvMNa4cj/GjQdxxxqOTedisroAoOQAE6OUzyQVLdCGkjKXDg9yRBKJRcujDLNcubZLe53L796KcHtJYjVQ4Ly5w8iy2WabemYiZCU1koXGTvY5m+Hy+JDAp57wcGHCx4kDZLkfmV2YnsMw6FOd2n65DADLNYmVRiaDNfMKqSlLM3vO54+6OD7iJLtwwzjNLj4+4vRl4wdQP+8wWweGasb4ZrJL7Ue/y07kmPl3FJsJsGjP5VoIRLFe995aRO/JZkFn1YvLR4cdKKWwEmhELQuGgHGxMBa9OZcz7YLt43JSHoIBIwVTZiDncq5cW1bOZdJggePwgANXpP3vwQGWJk1thMtmzlz2aM78yRMUwOzMZjqvlbpCEOmkPq5ueUU1RJPTwnZxGehvzrybXAbWs1kqnbhNfOGsjyODHCuBXhf4tWrHZcDsKOK6ySraE+vtJbeby/acSl7a2JGitmAAyj5HtEku2zp7UgNrDQrmtmsXy+Hson8rlzu1Z9N55FzOlWvHlHOZNFjgGC1RXLhs5lKHBtKyfjYpVmQ2+Fgubz2WnXN5L3IZ2Jk5cyuXVwNq56ECRyxpN223+rE7weVIaly7H+PqfNw2/rDuPDpwGaCatXbRmXGGZ444TXbjjyqb99WibBiG+MEPfoAvfelLTT//0pe+hO985ztt3/PWW2+te/1P//RP4/vf/z6iKOr6mtbPvHbtGo4dO4bJyUn8nb/zd3Djxo3kd1NTU5ibm2v6HN/38RM/8RMdjw0Afuu3fgvDw8PJn5MnT3Zpge1Rpy3rl+9H6x7S2YpELdSQGk27AlozPC7NRrhndopmt7UD1Ak6Al236Nti1p6TWuE+cYDs5uy7YoXEK93a9jx/zGvriW+/6+6KTAqht+ucphZjKMUwVODGQmH9sZlE4KYsGADrgqPA+sXqfvTSSQ8To06SmRRJ+j9n9Hllj8MVDJGiegGuYEn9oZLLkgygpswns4M3exR2l5Kw9hEizbTKarWh8P6dAO/eDhHGdO5rocKa2cXyxpUQnOtkp2YnKZC95devBCj7DBcmfEyOCgz4DLXQdMJFjicOCAQxEEvym7edrd2pJTUt9v/k0z7GhwRlKMn2thqd7u3VhtrygMuqtQB9GJMdiMupoL0r1i9StyqIAd9hSRabgl3EXp+t1SrLsQGPrv+rZ3yUPQ7OdVJQHqCF96W6wr2KSo6zW0H5XLlykfY6l+3uxuU6Jd5klWWznQzYSVZ2N02kKJGqG682w2Vr28MYw90ViZqpNzJSpMkl0D+XSy5DNWJdWWMnkvac2y1cAhtns52slk3g2taMKZkxxkCBWOwKOi9XALDMZbTrSHDWlsu2nqnlBAPt0BScIVTNWdBW/XD5E0cFVsP1iVitqudcbqvALFQ4fGNctmMry2VPMBwoMpwYERACOZdz5doG5VxOdfaIS/NW07GMlqg+d+JWtQEuc8YQxLTbwdZ1a8fmLJelZliL1lsXA+mcOeu0sF1cBvqfM+8Wly/eDRErhfduRwjilMt2F8t7tyPMrakNc/nkqMAnjzmoRzA7ihi+dM6HI9g6e8nNcDl7/J3YvNlke6t2XAbSOntu+4oCTbLNtlEuA+nuIbtDa7TE8do5H6EC6pmdTjmXc+XanHIupzp7xMWAz9CIjOVw2cGTB0WyIGsXJ1u5/PwxD+/dinBjgQ7ezjMpVgjcq6iOc+acy3uXy0DzTuYjQxyvningyBAtOncqdbgfuSzNHxp7dn9vNy5TojmS2rtaA9+8Fqwrnfkoal8tyj548ABSShw5cqTp50eOHMHc3Fzb98zNzbV9fRzHePDgQdfXZD/z5Zdfxn/9r/8Vf/Znf4b/9J/+E+bm5vC5z30OCwsLyWfY9/V7bADw67/+61hZWUn+3Lp1q1sTbFndip0v1dQ6e4d6pJPaoEUHTdkmNxZifHCXdlAcKjNUGgprEdV5HSywJGMXAOohdSrdOprBAsfBAQ7HdOj3KhI3l2hng/V6D2Kd+NPbz9iKJ77tmBgICq1iSG0bfdNJzVUkPrgbNfndZ9tso3YEnDF8dsJL6vgAFGg+WKZdt7YdY0X/J/sJJHULYqWxGiicHuPgjOHZcSfxrHcFAZExOg9XUL25kQLDyRGBss+SYO/7d8hL/q2pBj6cjfHxgzixNYzMrlxoYLmucPle9xVZa7nBQVmtl2YjDBY4Pn3Kx6FBkXj8U6FwBWagrBRLOtvBAsdzR13EigLDF+/EeP64QxlKDPhgNmrKlul2b789HeAHt0JavDc7cOyAy2b49DPgsterdRBj7URGSgwFhzXB0lqQMCBZTAejdm0dC/Rz1ygQpBoxwezPb4T4cC7CUk3D4xpOZhCzXEstLEdLnCa0bZ69XLlypdrrXAaa67YBxGabBTprMjUPlRlWA4VIKTBOWbeWJ9Z54b3bESp1uSe5DBB329WaZzB2sxkuX5qN1tWiybbbRths+/mix5IsYoAmgz/7XAEnhh2aPMRUb8Z3GJQi1pZdapduXNZAUifed2h8dWKEY7jI8PIpctrYKJe/+n6jZ5DSLiDuJS7PVWTCwmwgJJAaQbx7XKYAwPrs4F53jIYJGhguFx0q63BpLu7J5fEhgVMHRMfnL1euXKScy3uHywypDaAVQ3r8HMTm7eYy0HvOrHaZy1fuxfizHwVJEnuY4XKkgGvzxIFuasfl5495mK9plFwG36FdJD+4FbW1l9wol4H+2HzXBELttQVgrB57J9vba9Uu6O+7DK+d9ckCm6dtAKRjgMQGlFF7tibn9TVfNrGTyJx6JDX++IMGqgHVthPMOIhoqveYczlXro0p5/LWubzaUJivSsSWw4McI0UOralcTqfFO+Dx5fLpgwKnRjkOmHayi7Dfnwnw5x/X9wSXU+mm/6XwWv/9+5nL/d4t3bi8FqZz5lgDa4Fq2jD3KMey2z/he1ys5WbTWq/7Wa/Xt/6812d++ctfTv7+3HPP4ZVXXsGTTz6JP/iDP8Cv/uqvbvrYfN+H7/sdf7/dWr9lXSb/jmKgNMCwFqYg853Ug/3osIMXTrj47nSIaROgq4VkL/idqZACWQoYKtDPAXpAOQMWqgo/vBlisa6wUifIfPaUR5kqFYl7FSrQ/dJJDxz0s2qo0DDHQf7xLLHqm1qI4XLg06f8xBM/kFjnie8LKuA+Pty+PWzH9OZViWoNSZax3Y0oNf3/S+c8TC0QvENFncRypjP3HDS166VZ4Plj/VkYd4KitUTmXKPS0El2qN0lIxV1wLZo9p9+FODzT2pcmo0RxQr1CCi41GHajrvkMghB9hn3VxXemQ6x2pBYrlMe18cPCD5KAzIGpFJwODDsUx1TBaqB0M4CMKtnjgjcXyPriaLHmgYT2Wtsz7NkknpsltRqQ2FqMYbWgG+AfGMhxvyapIkUZ0m2jG3nbvd2GJP9Rc1YLmsAZZ+h0tBJ5i0DDUJePNk5ALzaoILlUUz1Z7TWqMeAxzWq5p4veQwDHlleRDHdU0+NcfiuQDVQuFNRYEzD5QxrYf8Dnqw0TP06lQaQGehaO5z+r0CBFhYBAz4NeBZrVMvhhRPuumfvcSiinitXP9rrXAYouYYz6j/HhwSePCTw9SsBQkn1RQ4WWcLltQAY9GlCZOuB0KCa4c5KjJmlGFJhT3I5iBk405AMMMm1xGUGnBjmKHgccysSoaKAczuroM2wudtk9eKdGKcPclyb14lVf5bL1Ygm/F25bDK2HZZyec3YDn84F2+Ky3EPnBQcYNDniOTe4TLTlDC2UtVJXVfOUteSIKbgxcsT3o5zecAHxkoc11qLxfYpO9GsZOywYt2ZyyNFhicPCXx3JjRjlJzNuXJ1Us7lvcRl6qOtIxPT5MDEQDZ0IyWOxapKdmluF5fp/DrPmcOYAu27yWWpaX7JuNk5w6ld7Fyz104cAWC03J7L54+6iGI01wdmxOatcBnob85cNSzjHBgspHNmqYFKTSe7rdqpE5d9AQQR8PqVAFoTlwMJOEyjGlHwd7TEcWHSxTvTEcKYNgc0Nu7ADICeLc5MzTpz/ICpfezRnFiD+FwNaVEn53KuXP0p5/LWuWx3u5ZNX7hUk8lO03oMHBxob88LPJ5c9l2Gpw45+N5MiHqkMLMUwxcMt5YkaqFdxNN7hstKMRRdYGpR4kG1kayrKJVzuR2XbYwHOuXygHGEfJRj2fvqyA8ePAghxLqdp/fv31+3Q9VqfHy87esdx8HY2FjX13T6TAAol8t47rnncO3ateQzAGz4c3Zb7basS52tp0FFlW0NWWG8y7O1ZkrG477sMyxWFb5xLUDDQICyXSgjqeyCHiiVFvS29TumF2K8frmxbjt6Nnsju/CnARScFJLS+LxfvBti4oBY54lPC5garkMZN0prvH8nwPdnmr3ILUSW69S5MNacBcJMFuV3Z0zWqSBru0pDJ7UJxocEXj1TSNrVczpnNLVTJ795rQnaSzVqO6UJttlEGwsXgDq2b1wLsVBVqAT0u9UGkvdKTfYJqw3K0tIAbi9LLFSp0Hak6Nrb2mq2Py+5DJxzPH1IoOwxDHiUQWO7+4wtPB0/B5Rm+OI5HxMHnXWdZC+7jGqgkyyhKKb70mZ2L9UUpE7bPWvR0MmOwb627KdWGlFMnvnQ6bWOVHd/f5u9dPV+jBsLMWWwRbSTZzWkRdJIaVQaCp7DUPY4BouU5eV7Ap884eHCaR9njzj40tkCfIc1efL3K4b0+rRaRNifZX/sOzTItNc8a+li2+lRtYLIlWs/aKNcBoiBgwWBEwc4Xjzp4uaSTGrRuILhnZtRwmXABBaVhmOyZa09bCwpsLgXuWzdOqROHQaESCecdysKguuEyx/MRjhc5glbtsLmbnVgZldivHk1hFR7k8ucmVo7mfPxOL3n0ADHqbG9w+VPPeHh4EA6oIgUtZEdi9n22A0u//jpAnyX6idvlMtWrmh+p+V1Oy6HMfD2VJgsQOdszpVr72g/c7nsmbpyhsuBpECd1hqHBsW2cNnOmRkDnAw31kKNoocd4TLQfc48syQRyd3lMkCBb87IyrDsMUyOOTg4wJPagDyzyySLCAZKmt1tLgP9zZmFneBrmjNbnnEG3FtTm+LyWkjPzHJdodJQAKMEJc/hGCowCMFwbETgQMnBl54pYOKggydGBFyxOS5zRlx27YAi83OlUxtGM8TMuZwr1x7Wo8rl0TKnGLux/pWmzxzwGV484eZcznA5iHTSRwcxORStBsSUWKaL6TmXm9WOy7WInCIrAd1vy3WFekQWwoP+w+FyyaOyVRopl4FHP5a9rxZlPc/DSy+9hNdff73p56+//jo+97nPtX3PK6+8su71X/va1/DpT38arut2fU2nzwSosPlHH32Eo0ePAgAmJycxPj7e9DlhGOJb3/pW18/Zba0rem2sEWKp8WBNYq5CtWZC2bwwKxWSWjPPHXNxesxJipXbh4oxKnTtCwr+NaSxGhBks7pUixGrdGciLd6SbMeUhUtLbAsLtfS5dTkwV1G4uRDjnZkQp8c4AknHK7XGWoMyQFYbCu/eivCDmyGu3ItxbT7Gt2+kQLMQ8Z10cZGBMk+sTawG0Ig0vnktMHY3lN1yqCxwclTgxZMuBGd46pCA6wAvnyK//3631JPfPLX3kUHjNz/Ik90WRccch+76Meb6UttaKz3boVlFyv5bJzV4bU1agOwtBn2qC+wJYMinibsraMe3bwYwA35qbaCRZpI5HCh7lA307u2obb3AXnYZNxbS391bVViqScRKJ5OnICbwCUH3bnru3SH53DEPx0ccak8Q4F1Bu41cQQMH1wxC2l07m71kd49XTPa0bT0NanOybjYDLGOfeGSA46Kx+n7+mIeBAseBEkvarus1RXNHXfboO8o+S4rcA1lrlPS1IwW6X8myRRsLl/WQ71V/IFeuXDunzXAZILs1xqgm3PmjLo4OCVMLh6WDXVBfbmtdWit7hwMMGgWXBvR2wrOXuAxQf2uDZy6ntrKcixVwr6ITLocx7fSxdV9ePOmiFpKdz4kDHBcmfJR9tiUu1yKNhtTg0HuSywXTlYcZNrkcGPDpX1OLEqHUe4bLnDG8dNLDiWGquwSNZBew1XCB7QqXyz5LznEjXGagRW9X0HGUvdQ+rBuXAbKadDKXImdzrlx7Q/uZy/PVNGmTgYLMP7wZ4vaSQqUeoxHvTy4D5IgRSApkjw8J/OTTPoSp2WZ5rPtIeGXbyGWXA2WXAur2foliioV4gmHQWGHaMYNNnhryaSfrbnMZ6G/OPD4oUvtCDgx6hnts81y2817bFpHU+MwTHsaHBASjcUwo090+54+6yUR3o1z2BXBwgNq/4GZ2kIF4nd3l4zt0vYCcy7ly7VXlXN6bXO4Wy1bbzOV6nPbRRZeunT1CZdpB4PHismD0d8GBUwdEcpzZ69fK5dUgLaWjNe0+FQxJokB2ztyLy9nF03XXtOXv3bg8VAAWa+k94wpK2gLwyMey99WiLAD86q/+Kv7zf/7P+P3f/3189NFH+JVf+RXcvHkTv/RLvwSAvO3//t//+8nrf+mXfgkzMzP41V/9VXz00Uf4/d//ffyX//Jf8Gu/9mvJa/7pP/2n+NrXvobf/u3fxuXLl/Hbv/3beOONN/DLv/zLyWt+7dd+Dd/61rcwNTWFd955B3/rb/0tVCoV/IN/8A8A0Lb1X/7lX8a//tf/Gl/96ldx6dIl/MIv/AJKpRL+3t/7e7vTOH2otSMJbJYsqAbWcp0Gzq7x048U2QpkM2ayHYZUdrJiFopcAIwhkjQ5ssWiOaPi4rbjE4w6UqA5OJeFS9FlKLvtH/JYU0ZQJdCoNhRevxKgGlJW62qgEdvF1Bi4fC/G1XsxnYsGlmoKl+/TSHxy1KGOkTEcHxbwHYJvLQRGS4zqt4K+y3YCQLrDY3LUwaVZqjHw3ZkQYaTxnakQy3XZ5AHfG2is6X8wnStjBKB+MlF8Yaz/kILF/im4NIEqOOSBP1JMYVTyWDKRKboMdTNJydbRW2kAUwsy6bxpckp/tz/zBLVdJSB7hQdrqm0NmzeuNDBrrrEGWfnZrCG69izJEtJaY6luLJq1/W5gqaZx9R7V87Hf0QuSAPDkIQHrTMgYdfANSbtpQgkUBO0Mb3ftbPaSYLRLPLlcNhnBof+XPVPg3gNOjgo8d9TFB7NRU32AH94M8fED2ZRF1+n6avNLh9NAQQMoOCyxy7CduNRAPUqvhy8A12EYLfOktt6g3/wt2WcvV65cD0c7zeWiA4SKkjgGfEqkikx2qlIssYkBqA8D9gaXAeDQgMBwIa0BPuSnC4wA8cOqdVC+ltRmiTG7QtmpW+UyQP2vAusrPXS3uaw1SwKfynynzaqthjZw0czmh8llZQIqjVhTG5n7tRalk/KCsztcfvdWhKmFuGkBtR8uD/qA69BxBjGNJWzsvhuXAarhc2HC67ponStXrt1XNy5XAuJcIG3SC4crGGoRuSg9bC5nk4U0gAerClfnyRJwfg37lsurDYUPZiOqlSoYnj/u4OKdOLHy85x0x0g3cRgOY+e57Dl079gEHXt2ngCEYA+Fy0BvNq811I5w2TWLHGUX8BxKKru5LPHiSRdHBjkAjfsVtWUuDxWAkRLDUEEglBprQeqGZu93e404o9ePDVBb5lzOlWtv6lHhsgKwsKbw8YMY1VDhvuHyWmBKrbVw+cq9mOqi7kEup2ofy7Y/2jYui7SP9p2Uy/Z7tCZm7QSXAeCHN0PaaZr5LLJn1g+Fy/WMWxnTGtfn5bpatKsNtY7LjmDJ+fsOxSoGfHo+7I7tkoeeXLZs76Rk0ZaZRdYuXF6qm/Mw73U48NlTPsaHxCMfy953NWV/7ud+DgsLC/hX/+pfYXZ2FufPn8ef/Mmf4NSpUwCA2dlZ3Lx5M3n95OQk/uRP/gS/8iu/gv/wH/4Djh07hn/37/4d/ubf/JvJaz73uc/hv//3/45/8S/+Bf7lv/yXePLJJ/GHf/iHePnll5PX3L59G3/37/5dPHjwAIcOHcKFCxfw9ttvJ98LAP/sn/0z1Ot1/ON//I+xtLSEl19+GV/72tcwODi4Cy3Tn1rtBUaKDEs1ylS0BZdp6zgt+HiCfv7cUTfJFLEdRj3UqIZU69T6w1cCANAw9u/wRJqNYe0HAMpAsY+O7WhePOlictTBvQr5p48PCUitcW1ertuNokxGS6yA1TAdWEsAXKfZmDD/lwCgCLgOB5aqCt+7GeDcYRcXJnzj+66xGvDEX12DOvRVpZPMlpK73p4gjIG7y6ZAe6QRBRp/+qMGfAHEmkFr4PL9yMCbCp6XfQL35KhjagnAFIVXePNqA2EMDHgcUmn4Lvm8B61etS1izNQDkKn18oDHUI80vvC0hzsVjVMHBKYXY9RCyhrTIEsOiwN7nRgjwIwUqR6AL2iwUI9Au6QFWTDYdhZm8djafDgckFJjajHG+aMuLhmbjA9mIzRCuqd8hwY3LjfnJmgAc2SA496qgis0VhpYNxFbbaTHu9JI/fiz97bUBEBX0H02W5G49yOJakg/t7bUK0EKSc7J9sG2v7037edn6zaEMcNQgaEWUlZbFvwA+e4DLDn3IKJ76s5yjMUa1STKZoxZqxGdeUbs+TKWZhVLzeAKqmWhABRskcWW92hzHeqhBoPE4QGOWFMtiayyz95+h1muXPtVu8XlWFI/x0AD+sjsYLC1VRjL1L/cQ1xerDIM+TTxUCDOOAwPhct2J8WJEYaZRZnUC+qk3ecyzZA4iBmcm+tcp88b9AGlgBsLERhjD53LC1ckyh7DA3PeAN07tiar1rvH5bDlnOxEUe0Ql48MCpw57ODavOw4Ac/ZnCvXw1FHLiud1KG0skGrtUUbfiLtBS7bgKNWQCVMf75XuTy1GGPigMDbMyFePuVhuCigtKY+29RBsw5e37xGn8kAFB2OgwNUV84G6juK0fGthY8nl7P3t9RUgmKkyJJ788ZCjNlKTLXq7PnuAJc9EJftPeu5DFIC9Vhvmcu+wzE+JDCzGKMa6CRQ3y6UogEs1wGGGEcGnZzLuXLtUT0qXKbjAGTLMcca4C3w0uYPtOGs2Ftc7hXLjiTVh83axbdVn1yeWZKYOCBwbZ5Yn+WytIuTW+DyakMnbortYtnzVdNWGpgco8XXpVqMakALjqfHHEitMbMUI5Y6seK1F3O7uSyTG4SuV7tatPY7slwuuYAGA2faOC/SM1Iya/V2zuw6GkoxaK1xYyHG/TWqgZy9bp6wzhfrHS2ybKZ4N8P8muzI5ezTGivguzMBLkz4cIROxmNZPSpcZlr3Y76Wa7dUqVQwPDyMlZUVDA0NbfvnWz9xC4sXTrj44a0QV+7HUDrtBIXpCO0DenJUJJ2u1hq3lxRqoSKLYjQPjDlLH0BptmrYAbRdiHI5Db6p8DY96J7L8MoEedZR565x9b7J2O3Si7fEvmhBULW3ueEMGC4y1EM6vpEiS7zilckKsrBPvNYV7VAqZSzpxocEHAHcXpKIDMR8h6ER07faLA/OyWrQc4CVOnUzlOXBsVhT8Bzgs6c8XJ+XTYMMtHzP1fsxGpFue062DWw72M6MBhN2ZyXw2tkChooCF++GuLVIWTRrIaViaZYuTlowuZzh7GEHsaKMXM41DpVph3A10HhrqoGVBmXXaK1RDdNrzBn9/AtnfNxYULizEqMWahQdwBEcsVSox0j+ba//80ddXJyNsFyjM/EFDZCSbCSeQpMDmBh18PIkTQDtvV03dWu0pt0xGgz1SCUZzTaDTCO9bxkom8vaQtI11PAcqo3rcI5YKbxxOUAY68TCSoOeKcHTjCzOyfI7knT9nj/u4GuXAyzXFTjomAAaHHAODBUYXj7l4bszEaqhQjVMj6nsAdUovTafOu7g6gOJeqThMIKV0u3vdXu/D/kMBY8hykwuPafZ9uHkqGgqNL9XtNP9Ya5c/Wgvc/n5Yx5WGwpvTQcIzSJTaGq4Z/sF+xkup0GzQjOXAfr8AyWgGpLlOWMMJw7wJEh4v6r2DZel1miYerS2n0+4zKjffZS5fHyYQwOYWZRNXGYMODUq4DsMd1fkQ+VyEFMtmyjTxEnWcqZRCw5Q9ri5hjvHZcEZpNLGTUPj+LBAyWd4sCpxt5Ie0MA2cXniIOXF3lpsrsO019mccznXXtDD4vL1+Ti1IDQBvbEy7SqwsnPmvcblVu01Lo+UOF6ZcPGNawEaMe3G/MJZHx8bFrsOMOgRp1tlv+fWksRyXTUxpJ0shx9HLgN0f3/7RoAl05ZPHaSdKFMLMQKZxmvsvbDfuPy5CRdHhhy8fqVBiVAmNhV1eT58B3hmnCLSOZdz5dq4ci6357IyE8Feiy52rt+Jywy08LeXuNxrziw4ECty/doOLgPAxbshph/EWAvpM0VmYc8mS/li41zWAJg5AKmBkQLDzzxbwMU7cVMsmzGaw1r+c0YL4RNjAmcOOXjjSoBGnM4Js7bVrqB/d+Pyck0lsYqxAYHpBVoIjjOf08plzqwzVMrlQAKTo3TOSut1XIZp3yBW8EUaX8qy+cgQJU5NLcTJeMLGsi2XJ8ccPHXQwbdvBFip66ZFVt9Jkx4cBlyY8PDe3Sjncov2nX1xrq1psMCb/OPtw+A7DC7PZv4bG4VQAdB44gDH29MBbi5K3F6SYIwmPNZqwCYmcEb1WEdKPFn8sjeZYJnMB02dBeO0IBtIAsLb07TH9vljHmKJZLu/DW62k+3gAJOp0eX8lQaWa+SJXjQP8+X7UVJX7IUTLlxBELMg4yBrBD+zr5ygozHoM7J/UkAjploDdkJsj6MRA4tV+qxIaSxUFW6vpIWpZ5ZkV//4iVHR0/JBm4awC+IalHVrBw+NGHh7hs7R+v5XQw3BqbNzWNrBWwvnkRLD6YMOXjzp4uSowI+fLuDTp3xwxjBY4HhlsoCzRxx8/rSHWpheKwuJegT86eUAt5YoS1UqmjAppRDIdDdVGCscHXbwxbMF3K8qrNSpUH2kyCrJ2jgDgHWQ9gTDSInhsxMpyOy97QpagIwU1WsIY9XUaUudydYxP+MMOFBsXpCtRXRd378dQyoC2UJNmd22ZB1qs7NsjQNgfSHyb14LqF1gMtUk7RQfMs/Ja+cKGC07uDDpohGlx6RB2WLZtJkP5mK8POFipMCT9u52vzOQPdTLp1IbpvEhgVfPFBJrjawFaq5cuXZfm+Xys+NOsiC7XFOoxxoFQbWxs8xIuFwkGjOkySlZLgsGNGLKiq1FmlgY0iD4A5MNux+4PFrmWAsoyzQ2wUWV4bLSZLP8KHP5/FEXK3WZfJ8NKMQKyTiuGtDEKZCgJLvY3mNANVQYK4sd5bLdCa4z7bWOzQAK7u5wma4vwxOjHGcOu7gw6WNy1MGDqm66z7eLy+ePuk3WYzmbc+XaO+rEZcfUInN4WluOSgworDQUDpQYTh0QD4XLgFmM68Imy22HN/djrXoYXI6lxreuh4kDRSPWePNqkAR6o5g+vxuXAzMX78Vn9hhzGaD7e6jAkh2n04sSi1Wygm61v96PXP7eLSqPcGHCBed0je1O304a8HjO5Vy59rD2K5ddns6JO4mBSpyILqszGnuPy73mzC9PuInN7XZwGaDa8raOPCWsN5cvcDfJZWhAiDTOsRpofP1KgDsrzbFsBp3EuqlmusbpMQcvnfTwzkyYbNKKTeKWRa9t025cPjjAIUzC3GJd4+ZinHxf9j5o5XLRAYYK6YKstWC2MaR2XNYgNjfilMtAM5vvVRSW6iq5ly2bs1z+1Ekv2T3eqiBTKkBq4EFN5lxuo/199Lk2pcECTzIJLt4NcW9VwReUDZTN4glNsEwqjb/4OIQG2c9ESidBRldQJ27f7wgKwL56xsPrVwJI80C7nGCwFupkIsIZw1JNoeBS58QZML+m8MNbIQ6UOZ4+7GC+qrBUU8k2/3YTSNtxA9QZ2M68kzTSnQyHyhxLNYXIZEtpC3FFmTKMmbpsDPjJp31cvBObbBv6rnqcWu61y06WCtCcJnP2GAW3xaqpU3l23OnqH+8IDZfbTKP13+EJOpcnDnDcW6XFbcaoXksgaQJUMAtz9vofKgusBRJFl0FpDabILoOKxNOE9xWTeQUguV9WGwpTi3FiH3HuiMAfX2w0ZbhkM84iSZlaWqeByhXjbW3/XQ2R1Mg5f9TFUlXi5hLdY0IwFD26JgAVbi84lDmr1Hq7gsECx7FhgdWGRig1Qr0+24yhOYlAgybVq4FG0dFoSEoUoEmwwo0FhcWapB1RGrCXSWmN2JwsDQLoPUVTW6AeUTZw1lpDMLrPPEE/40zjf7xXx9FhjrWADq5XkOTD2RgnRgQqDZXYmXSSBvBTZzy4gmO4yLCwpvHUIQHBGV486eLSLEGstYh9rly5dleb4fL3piOUPIblmmGW/TCdTiStBY8ngC+e9fHu7RAzixKhbOay7be1Jqsd4grDQlWi0tAoOAxvTQd4+ZS3Z7nsOcCRAYH374ZNHGpn5xgr6vcfRS4/O+7ga5cbWKimbdDEZQVos8PXYSYT3PySmXtGSWCpLvHDmyFeOOliuapwc5ksuBxTw2fLXM7cFDxzTZN/axpTkrWUTsaPO8nlSkNjpQ4wJlFpSKwFaSJXJ22Uy0oDP/E0tU/Ro2D2gSJL2ixnc65ce0PtuFxyaecegITNYUxBQwZgtqLg8HhLXC55DGuBSmzvtKadJgD11524TPW5iB1BC7ta1SsQZg55V7lcDTWGCgyuZIgUMdbLdIFHhjgiqXtyWTkMSrXYBiLdQVVygYYk/j+uXAao5qInFEJJO2oWqsRli+aNcLkWatxZiXFzKU6ur2Jkt+zEeChcfmcmxPiQwKDPsVxXXefXDMCrZ3Mu58q117VfuWx3n3brt3qVxDGHvKe43GvO/M50BIeRm8J2cBkA7lcVSh4xw3eoPUouUAct0BWN+2YrlwFiM5UvYnjumIvvzTTwoJpt3PT4YgVUGgqMsWSndK9Y9nPjDr55PUSs6FiyXOag83JEZy6/dNLDwpqisj6a7gl7f2bVGsumNRl6keUyGNke31qWdO8ZLkcKeOmIwP+9EUGpdJdtKHUSD7FsLroUZ1K2fQAopbFY06g0gKIrcXslhlaU8N5rN/RyXaPg6pzLLcoXZR8j2QnC+aN0Iyutk633tSgzANfND36s6AHyHRq0M6AJaJzRAwsQBJZrlCUJTQXGGxE94FVr/aMpa6Qa0pfUQkD4wGpEwJpZkglgXpn08NaNACsN3Tb7AjABat38716yIC15DIs1+tmUsQawnY4CZdpwRhD5xrUAF0550Fpjvipxb4Uaw2aztIqBfhcp6uhsV2Fte2xm74dzzfURstvx5yoSRwY5Ci5l4yiWdsLIXKeDZYbnj3m4eDfCrWWJARfgnIMzBRUBFyZdDBfTFK1PPeGBMfpewRiEAM3gQHBt58ue2BCGGlfuRQAYrsxF6wYQre3vCmPd0GEHiQJwfT4GZ8BTBx3Mr6kkk8h3yHvf7soqukDRY03t84Nb9IkWrp846uDWYnpcEs2ZRHaxgGcAZ+/rWFH2kx2gBDG9d7Gmmoq0rwUatSitW1B26f3VUKPkkp2I1GTdGNtFYU0LKgBlVdnnCACmFugvornJm8QZ2Xd89gkX1+clLfQbW5VO97zWwOuXAxwe5JhekJAK+M5UiB8/7TcNanPlyvVwtBUuTy3GGCsh2dlga6lYeYL6J8vl789EKPkMvkOJJwANuKGJT1IhsU9vxIBuKMr01TTAZ9C4Pi8fHpeBJHHFcxi00vjRXAxHaBwZ5DgxQnaDK3VaAO30pXYCYyeCwKPF5ZuLzTVnOrV/waEgRuuEnJk3LNY0qqGknS2RTDJzpaIg6Za5jDRzOrm3DautRVMoaWIoePoMyP3OZQD/61KAnz3P8PWrIZbrCit14HRFYnzYAWcsZ3OuXA9R3bisFOA6DNx0UrZftH+vhho3l+JNc5mZeaXS6Xw7CtPeZMkE91QbLr89FSKMNNa6LLj2w+Km1+8yl+sRTPC7pf6oQ4uBd5bSk2vH5aLHwCMNDQbZUgPQFdSmJQ8YcTjmVtVjxWUbvLQB6U8cJbeVGwum7js2z2VtaufZS2yPN4iQlHngu8zlC6c8lHyqM2zPK+dyrlz7U/uZy1Gs0bAdY4dOaCNs3ktc7jVnDqWGBNk8bxeXzx91EcVIvlOYX5XczlwGrD1wA8s1Ou+7yxJrQfOAqTWsESuyEY6V7hnLjqXGWqCSmECWy/b4Sj7vyuXnjrn4zCkHf/JhmG78QnMc2/6dIU1QWm4ABUcnL7IWyaFZsLexcAaAa41vXI+ajosxII7pHD2HYbhA/E3GLZb1oFrINm5O83r6IMG638clN+dyJ+3vJeVcfctOEG4tSrx7K4JU5Dt/v0Kho7JLC5BZq72spDbbzzMBxwR4jIJh2W3t1VCjIZEsyEqlEwhqrN/evpp5P0CD/RsLMd6eCqE0a7I76DYQ34hiBURS48gQPQaJrYM5Rk/QoB4AglijEZK98vwaLRjXY2Clode1lVXBTTtOpaldlDk3rXWS2TtxQHTdjn/2iIvRkgDnDIMFBk8wjJZYMsGx1+b/Xg8wtSARScrgWQsUBSg18PZUhJV62uicsXU2E1JrNGINbirMK63x/p0Q37sZJAOhMAbqMQXyGxHZHXTrfBmjjn3QZ7Zp099l/pBXvcSbVxtJ7VcNui+ydW0KLmtqH8417i7HuHIvxuW5CD+4GeIHNwMs1tPv0Ugholt+xljLzxQwUKAHIMlQBt2vdsetBrVppNJAfCOmBRSlKFuu7HNUGorsQFRqpZIck25eYEmvQft25KDB4E897ePmskqyAjnrbgWiQRP4q/dpAq9Az+rUYh+peLly5dpRbZXLsQIeVDtwGc2TTgXg9opEFNNnhdImoZjEIsOorIK4uU+qx9gSl/tBd0cug3a2+oKOP5IargBqgcatRYmbyxI3HsRYaZjgnW7/fRxpks6jyuWlmm6bKJZV0aVgQzsnCc6QqZuncWspxvxauvgplclkNu/ZCpcVWvis6TpnFRmbpOz8er9xufVebETAH73XwHJdJd9xcTZq/0W5cuXaNfXi8pFBjqND9ETb57z1+a5Hm+eyNtZCNhjaqtYErXoMzFYkvnE1oB2PiqW16Ps4373EZW4+uxbSTkrLZYACi/UQcAX9uxOXL0z48EzQeMBnZkdr+r2RouDl7WX1WHHZc8jy8VvX6wmbf3grwp3l9FyzXLbxmn65bO9Jy3TL1+y9D+wul4eKAj+ai6EzDm/dlHM5V669qf3OZc55z7I/We0nLveaMxddhs9NeA+dywAls1unhVACD6qqr93JSuu+YtnTixIP1jQ5RWI9lxVox3I3Ln//Zog3LqcLslkuZ39mudzKV4AS2IBmNw57jyoNVGNzvzK6xo3YlBYyDPaERj1iaEQpl1uTjds9B924zBndGwMFnnO5jfKdso+J7AQBoKyMN6/K5N9KMRwe4nCqEgtVDSFokG0zG62yD1o2q4Gyk4CSx1ELCXEDPmUwVRrUSZV9hqVahye1Rb7JVgolTWJKHhLLY8aM5WCvxUCs/30265ODslHvrSocP8BNRg9D2adOiZnjqIbUEbsc4A7tGGZMgzMGh2lE6GwBFZrdHFnrYoA66HpM2SJzFQnXAS5M+E3ZX63b8c8ecTFfJcueyVEBxwEq9dgMFNIMLSul01osVPdA452ZEF86V8TcSoyLsxEOFCmDVmmN1UAntgw/mpWYXa7h4KBDhcWVxsxijB+b9BDFAtfn6WT6uZoM1k6DNXW6DMZjX6eZZ74DBHF65ZJJKNKBwdHhZuvdtbrCjaqEMnC9dj9OMnm7iXdIy9EAVuqaFhhYCjNb3yZ7/HYi6nKW3K+uoKD8zUWJOANC6Jas4w1KAdAS+Ma1EF8842FuJcZSzdhciebnweF0zYNM4oNte5czTI4JnD/qbu5AcuXKtW3aSS7byeZQgaEW0k+GC8CJEYHppRgapj4O621zCPNasQNczv6MgRah23E5iIkVAuTYIbWt4yKTujlzawpHBjhur8iO1na2Pweas6Q3y+WlukI9pMnakSGG1YY0XN3bXI6VTuwRLd8slwGAa0oscx1m6sGkn5x1ntgOLmevPx1b8++VJi5nAwf7jcuCAwM+sFJvf41GihyvnvE3dyC5cuXaNvXisucyTI66uL/awEJVJ8mdWZ5opGzeKJdtAnPUwYUiKwbqV5LSQqC5lGDG7UnQXHS/cFlwOu/IWkIq2jHpmwDjYlXhyKCA57KOXAbITvjbNxqoB8CgT4uca6FOxjrZa/W4cNnuxFmuI2Hz5Xu9B3/9ctnW8tNtgsf2HHaby3/1eY6JAwJX70VU24/RJufssznoA6tBzuVcufay9juXS55G0aXdltnj6KRe3d9e4nK/c+ayzx8ql3980sf5oy7NURdl3+0M0OasfmLZZZ92E2cteQWn42KMkqU+uhd35fKVe3Ffx9WOyzA/i1XKY87pRJMFWp22K1gzl+2n1yLaYJcdB1ptBs0K1E4zSxLlOwFOj7k5l1uU75R9THT+qJtkZQCppYBUtJP1k8cdDBYEhClG7XHdlHHTTr4wmZMsnQwcKDGcOeJguMhRjxgGPfpdpdH/I+wItOy6JQAM+rQbxeW9O4TWjE6geYBPgKXC7PUwbQ/BGIYKHA5nqEbpbspY065NgKHocrKzYKyjDzoDdS62Uxwu0nG7nGGszHFiuLkwtbWS5YwsfC7NRjh/1MVggUNpsj9KYMWAT4y7GPBZXx2jQmqv9xc3GvjG9QD3VhWu3pdm4VwnWTB2oPCgBly9HyOQlNlbj4C3piPUItlzINEkM1mLTKFxmyljJ5g6E9APYrrvbIF7a3NEFtLAwTLHkwdd8zuyKygXOFmOmGvaz4IsAzBSYHCd5nsiyWLS6f1nLTXsArGVradDAy2y5KBkAqp/k4WYx5H8zO4m65UV1E4atCDz1nSEkSJPBlFSIWkzmO8YLLB138FBRe9fPJHeZxfvhlDmJlZa4+LdMMkmy5Ur186qE5cBYLTE4XKq+eUIhqJrmdX58zRoUdExHIemvtty+fljHi7ORvBNBm2s1rtWdJK1dQI2z2XRhsu65e/1GGBMreNyyaXviQyrbPbyakATTJfT74eLNDntdCwaqd0zA7XVZrk8tRjjyTEHsbYW/QwTo2LPc9kyLVIUuHBEM5eBlMuxauYyAAy4xMbt5DJAiwllvzmJLWkvE+jlbP9y2eXULq0SDHjtrA+H85zLuXI9ZPXistZA0UMyZ7aJkJ36j81wedlaCvYQZ8BqIw2WKp3aDHqCJUlT3bSXuBwroOjqpJ8sOAyvnvHX7YbtxuWLd0NUA7ucCRwcEDgyJHruUgUebS4PFjg8wZrY3I8E74/LDk+/P8tlZj6jE5eBNBjpchoHZNm+FS6/cTnAjcU4Dfa2PA+uAHwn53KuXHtd+53LawF9z4DPkgSWrWivcTk7Z64G1D8CVMu17LOHxuVI0u/qEfCd6RBzlRhza6pvAGoAI0WKxXSMZZvvHDQL4qXMvhfBKZZdcIGhAq0fTI46XbncL5uHCmzd+E2wzBqKTmskZ7mss+9nKZddbhOsdJKID5gkAxdNnNwsl6UC7iyrnMttlC/KPiZqu81fadQi6qzevBJiYY2is6HUqMfNC1brPg/UGdmAltJkZxDEZI8wuyIRxhrViIpFZ7fP9xIVy6a/287FevSfGhWJpXA3RT2eRwUg0sBoSWCxmr7YM5OBkke9QwJNTcdUMrbljGnEUqPgNndMHm+2cfQEUHQYDg0KnD3i4OwRB69M+nh50sPJUYELmSLkQGd7jqlFidWGhi+AexWFb14LoMGSDrSbHEZWCR8/UJhZlIiND7zSNMBQur31pM040ua8wkhjZlF13BncTgzA0UGeZBC5DmW4FJyUDA1jBd2ITEaX+XypgWpkFv8Fw6DPUfabD/S5Yy4mxxxKJujzmCZGqW5guxvS/sjaL9ngvc1ysgplavdZCzUkaEAUmPMwLif0WfbvOpMZtwGaZQdu3GQyLdZS22yHM4wUGRye2mauttQtUubPck3j3dshVuoSb08HmF6I8bWPGoikwru3ItxclHj9SgNzK7m9ca5cO612XAbI/nU1ULg2L3F7WaLoAHVTc71blq5ll8MZTGIktE65/O0bAZZqCprZ2i7970awfSGwc1ym4wUY+Dou2/MruJlJiKYFP3veRwY57q7EECZAmO1ms5NzDmDAA8oe9Z2b5fKtRYn37kZwzGffqygsN/S6726nh8llDWB8kKFo2lJpWlx3zX3DQAFYso9q5jIArEb03dvJ5QNFql8TyuZks9bgsdynXKZkL9WUBGGbVGrg9SsBlutxzuVcuR6yenH59pLEG5eDZM4cKSCWnee4m+VyP2yWmddplb6vFmoUXaqV3mvyvZe4XHYBrTlOjQocGuD44lkfI0WqD9fK5m5c/s401fAruQz3VxWW6qovmzyBR5fLwMbZXHCA0WJ/XLa7fOzunOx5xao9l4OY4ij2HqbFZvp71mK0X7Xj8tyKglJ24biZyzrncq5c+0K7wWWHUz9fCzT+YipALVBoSAaPbw+XVxtk1zpc6M3lXsq53B+Xk4U/TYuO37kRohpobADNGCtx/Nik1z6WrdN56VKdmLMapO+VimLZjmnnz57ymuILwMa5zBlwoAiq69tyH7Wut9jk+3ZcXqkbO+pQA4wspaUiu2A7Z7asr0VpuSD7/n7VVOqKU3vlXF4vprXeYreQaztVqVQwPDyMlZUVDA0NbdvnKk2dYrYIdy3SZCHDGXwXqBuv+GznnPVZb7WTsTtjNNIMSsHTTAirjWRkZuUwgPE0CE0gAVzBsFzf2m3LGTBaYvjUCQ8fzEYIY/I5f+GEi3dvh7jxQEIqjZJLnantiAQnb/wo1rTlHkDZA9ZC+rs0xy01LUZ7Du9acLxVF++GuLW4vlC6BnWajNEk2/47UtpYSnY/16IL+IKK1VcCk9mK9P8wg4RGRPVvWlvXcGdDi+sA3UtffsbHB3dj3FyW4AyYHHPw6SdcfP1KgMVa70mrwymzjAPwXIZXMvBXWuP7MwGuzsu+BkpDBZbYSgPrrUCtsvestQFDm3O3ALX3+051ph5Ps5EHfE6WFVpjraExXGT40jM+Lt6OcWMhpsy4DDhtdpT9N2XH0bW2A5OCQ3WM7D1VdBleO1tYN3DYbe1Uf5gr10a0m1wGbL0WwHcpaAsAgjN4QjfZudh+qrW/ErxlETXDZYaU5XuNywCx6sdPe7g0Gzdx+b3bEWYrEkGs4TDdxGU7ySy6ZBnMQVmpUpu+UNMEnZu2KToMgrO+2dyJy0A6kbfHYvvQpsW+NtptLjNznJG5B548KPDsURd/8XGAlQYtJp4aFSj5DLeXJRar3T+RgRxAtpvLRZeh0mg/LtjPXAao7e0xMVA2cPYeKbo0Kc25nCtXbz0sLpc8Ks9j66tlk5Q6LVztNJdtICs7NnAFMOAxrIW6b0eMThotMRwe5Fioaii1j7mM5vlROxVdOpb9yuWhAuBwjhMHOBhjTbbOG2Gzw+0uMrZhLreLLDLWvItHI92h1um52Yw8DmhGCd1S07ErrVGPaGfxF5728PEDlXM5V64d0H7lsv158lqzIIWW2PdGlHN573CZM0oyCuP+3Jsclr7uQJHhZ54t4K0b4bpY9v/8oI5a2JtZNpZ9alRsicucGQdJTjuia5HuGMu26sVlu/NXo3NJxq0q53Lv/jDfKfuY6NJsM8g8B8lW9UhphDF10q7pLO1Dmc08UbrZ5igyr1MKiXd/rJoXZIHND64tVO13MkaWC1vNI+AMGPIZlAI+mI3w3FHK9HnqkMCHcxEcTlhmoMXWbGaIVNQB2FqunAG+xzE56mCgwCFMUHG4wOE5ZAvxwon+FmSBZnsOqTWW6zqB6MSYgGAa0nRikaJjjHtAXet0NyrnHE8dEnBN2i1n9H/BgIMDHEqzJqskq1g3Dyz6lVTA168FWA00hnwGVzATwOf40jMFPHXIQcFJbZtaxRndX2sNjXpM4Hl7Oi3Y/sHdENcfpBDr1Mr252uBJvsJTQOVdlagDGiqzaM07Xi2gV4bPPGsfbdRdtDV7Ris3P5uCXqv+Z5Y0SBGgxZrpKZMpx/cjHH+mEPWiS0LsmcOOXj6kJPsquaMLEA8wZIdwY1IY7WhECmqnyyg8dZ08MhYQuTKtRfVjssAsRkgLpd9BkcwFFziEZD2Q/Y5t4ywO+Utn9pxWQMd68f0o53isg1OFgRwaTZex+VPnqAs0ijWWAtNcBvpOVVDjcWqBtM2S5nhi2cLePKgi7LPaULkMQx4nBa4N8DmTlwGgPEhjiNDlI1suWzbqZt2m8v2PrD3zvSixFtTAQCGAY/usbLP8MJxHz/zTAGjxd4ZuzvBZaU0Rkrr39F6+tvF5V7f000b4XIokQR5GMgi7W98soiRIn0IZ8DhARojWcrWIo1KzuVcuXZVvbhcjzRZBJo5s7XNa7Uj3E0uZ+u7A0gSeKXeeuC36AKHBzjmV2lufGSQ71su9wr8AtvD5X4XFrebyxpkm8mYRi0Ebi3KTbEZ5riCGFCqPy7bc7YBXsHTHVcMFG/KHqf9S2s7tWu3jXBZCLr36xHtWqqFGlLSeLoRAm9eCzExxnMu58q1j7STXLaLPonjgemXbIxss8q5vHe4rDQlk/dbUsBynANYbmj88Qf1trHsv/p8EaMl1sS6rOzPYrN+sFLTW+KyMovmLiO306Kr172Btfx9HZc5Ertk+/vEPaqL2llu9zu3zrncW/mi7GOiyVEHnkMdpOBkA3B02EHRWBu5nHzoGaNalGW3eTHSSrcATpiMjZ3aihAp6jhcAQx6tFuoGm7tM5UmIAFAEGlcnI1wuMzx3RnK7qnU6dxDRZ13K4M0UqgP+AxRDKwGCgxkySAyDRTGwHu3o6RT6CVrzyG4XfyljssVwP1ViXpMP3e52ZnbxyTedsa+ABgUbi4117mxoLp2XyKUum3dGAB9Wz0YTiYKY1u7mOH0mIPnjnnJuX72lI8fO+2lNR3aHDwzGT52Z1YYA1OLJpPGZF/ZjrvksXXQyE6OLXQiBSgwHGwzyQTS+5yDvr/sMQz4tDDiCuDCKRfPjLsY9Ni6SWWn62EhaBXr9oBrFYN5Fs0HR0qjUleJ5ZjUwK2lGF99v4FIplljgtE15wx48aSLyVEBVwCx0rj+QOInn/bIsiUZlKX3Saxp51Kr9Uh2EJErV66tqR2Xx4cEwGjSUnLT+jBBbJ5r3rnfWFcju01n1O6tG8gPAbAzXNagfq4eA41QrePy92YiaK1TLrf5DAXqrwsO1SX73kyIJw/RBHMrbO7IZYcCltfuSyzVVMLlfibxu83l7MIlQP3+ck23ZbPDOX78yQKKbvt2tpO7neBypIBhs+u0VUkwBdvH5WydnX4D6fa1G+KyOR7XLCQfGaBa0T/9jI9hUxdouQ6MlSjb13623UWXczlXrt1RP1wG0jmz5TLQgUub5PJGas5p8yG2b94uLgPUt08vSiilsBYAgdT7lsv99O8CW+dyv3XUt5vLwiz4rzQ05m1Jqi5sdtokJmelQbGQfrnMGS2WDBaoZmHRY5gc4zh3xMGQ3z+X2wWV+xEDtWEo04WAUGqshukiSz0E/vSjMOdyrlz7SJbLADBa5jg0yHFkiNwAhovMLLLqTXEZaL/BJedy+l2PApejPhZ/rVzTNhoAdOdYtsM5fubZIkbMPdhuzSBZmNXA3OrmuJz9WKWBWkwscgVH68tb+bmOyy7D5EGBL571UHAYmG62em4ny+FOC8/dlHO5P+WLso+JBgsczx11qWC31Lh4J8b5YwKBmTnUI9qBWTQdcSBp4uk7pvi0WeDxTRC26AAjRSoSPuCvD7i1qt1D3Ek2k8P6zDMwDHoMjqFrORPgY2jvI99LkdnZwDg9tN+ZDlGPqC3uramk4wGoc2h3/LTVnxaxVxoatQgJxLI1D+YqEpdmo76Oq1KXeP1yA6uBSqz5Aqlxf01hqUYWHYp+jLLP4JsOK8mAYc3tYYO+5OGusVCjYucWWNmMMJspA6Q1XTYjhfT6WTuEQKJtplWlLvHWVJhYerW2sbVbsJnl1UBjtMxx/ihFRc4ecXGgxOE7lCH1s88VcHIkPXhfACMl1jQwK3kEJak05tb0uvvHtoVdkGeMFvGDOF3AfP9OhDBSODjIe05qreKWHegWUpx1v4c5T6+LbbpWnARxc10oIcjGo+hxTC1KvHcrAmMMsaRj+Hg+xv/+sNFkU6HMvVWL0wyquYrEm1cbSXZidhCRK1eurakdl58/7kAwjVgClQZxGTBWLYIluwEHC7QjkIP+b7nsCbJxsZPUVrX+yOkTzrvBZQ3qYxpyPZdvL0us1HUavOzwGbEiK2UG+ozvzkSQamtsVpomu4s1lfTFkdS4v0p1f0OTDBMpEI8yuzVtW2wXlzfRrPSZIH4UPZNFbBZV27G5Upd440oD9Sg9h6b2wM5xWWmNOyuyyZUlG5S1/98uLtsFYTtxzZ7rtnPZZJ8PFTimlxR+eDNEPaSs4EgC1UBhelGiEaV3tx2L5FzOlWt3tFe43G/wUHAKHtoFr0Ef28plaQKSqyH1lfdW1b7msm0Hh69vD6rJur+5bNlUDeg+HR8SHdn8M+d8s9PMnItAk3uV4MTrTly2eLOBVVs7MYwBbVy97lVogr8RLmfvo41y2e5I9zq8sHX3W87lXLn2vgYLHBcmfBwZ5FhtSNxZohW248Oc5o2xTvq8jXJ5qMCaHPI6Kefy7nE52yS+oFKBjVjjwQa4vJl2tZKgODvrEcu257tiatu2i2XbY4M2Dikb4DIDxXP9DJdtaYGSx7BSV01zT47muWgnLt9elLi9JPHEKIfroOfNr9HczoIhqcWcXTNpp5zL/SlflH2MdL+q4AvKIJqrSPyvSw3UzX2pQB1FPdLwzS7ZwGQNDfhkBVFyAZgMpJESx888U4AnNKrGv7+b+oWY1YCXwiCItakZoOE5VBB60E9h27qoxRlwfKR3TxxmFgI9nnYU5FPe/P6kQ80oa1l3YkRguEA/Hx8SePVMIbFv8BzK8LJabShcvBuu21I/txLjjasBFmqKsl942gmqTEc4UuT4f88XcHzYQdnjOFDiGCzSAvqAGVhY2cBwrIC1TC1CDXr4h/207TgDjg1xlDzqQDdir9uq7A4SlwMeJwuLd2/Redtz/vZUgHrcvn2tko7avKDo0WTz4t0QZZ/hx0/7OHvEwbFhgUYEfP6pAp4ao2L0f/2FAo4NORgukPf8oE9ZNSWX0aDItkWHwZi1Aw5jsvhtxPSGWgRcnZe48UDi0ADruyO1wLETcVtDyu5S7dSWNsvJ2jkM+c33fGtm1uQox5EhgVqoEUuN+aqEgk4m1KECqq01EGxgWZFNiP1dmGFXdhCRK1eurauVy29caWCprsl6CcS/UFKfSTVzaDLjcI6hAgW5HG7qi3gcoyWG4SKSujqtal04kjrtq3tpq1yeGGu/06L1+OxgupXLgveeOGsAa4bL40MCF055yTF3Y3MnLq82aDIwvRAnWc8Mab8tDZtczjA5JvDaObKAGvCJOZ6D7eXyFgLAANlZ2WMWJjMoiDTeux0hVmpLXOaMYbWhMLUY48cmPZwbd/HaOR8f3YvxwgmvLy6fGCHbraztWOtxKGwvl3XLH9u+u8Hly/cjeOa6hoa9rRn8toxDzuVcuXZHG+WyDVZFkgK8jklgjjT1bTvJ5bJHwTn78sAE3raby9AmeWafc7noUT10G3C1YqD3xbJ5frTbXO40Z37japDUyuuHywrEqRdOuB3nzI7g+OlnCjg4wHD2sMBThxyUPI6CS7unBn2GsscTLmuk47PWY7AB8WCbuGxlHcE2wmXGAE9oU65q/T2fVc7lXLn2hwYLHJ7LEEl6iO+tKlxfiLHc0Emfl41l98tl2pjUvk/Laje4bDe0DPm9v+NR5PJQgWOgsP6oI0VtmD32blwe8BkO9FGGp5sWzWYooAuXrzRwcymGcdxNjq21ne3xaWyQy0cc/D/nCzh90Em4PGC4zIAklm2Z2G4PaJbLVJKAuHztgcStJYmiy8A3uFCjWric/Xurci73J6f3S3I9Kjp/1EUUU9ZAGCvUM9vGD5js3dVAUz0SAFoCmunE27sSABqUKay1xutXAtRCs7jZx/e3vqbdoB6gB2w1oI7HLkhGEnAKDK+eKeDd2yFuPJBNHZDtDBij94WRrZfb/YBqIU2ojw47eP64g29eC5L6uqHUPeEbSA1HAp895aEaKLw9E+KpQwKCM7x40sWlWTQV815tKLw9Td8RxUgKss9VJK7Px2CgouuRogwrLtMJGGdUjP1L53y4giefH8Qa9yuA45KnelahSjNq7LZ+207UQTIM+RqBZBgf4vjkcbJjuDwX4uaShIr7t5ZoaVoABOBBhya4SmtcnY8RRAqrpsaB4AyeIEjYY2v3XVpT1pLDgdtLEneXJbRmSRvGkgInd1diHCoLXDjtgzPadeNwyu4dzhT79hzgJ58u4Ps3I0wtxOusum0b2Z3JWVkrEKkBKYE7K91bpzVryZ6PZs1WzxqmGHumve3v7PWzu7YbMcOAp7ES0O/tz+0g5eaSwnBBgTFafFaKwXc4JscYrs/H6yb1vqDAQiOmY/A4PfexiR6VPMrgev64g0uzUdM9nStXrs2rlcvVCAnQrGMBZxqRpGxTqahvqoXUq1j72FhqlD2NamgzMTfH5U7aDi4XHYZBn8YS3RTEgPDQlsurDQ3Nuk+MlQLWAoXnjxMrXz7ldWVzNy7fq0iUMxlKLk/rAFp5LnD2kIPnjlP27IsnXSzUCN6Cs23nsgRlbNvEuX5lmQUQT7m21oQacinCXCVGLQLKPgUK7AS4Hy7PrigcKUe4NBeva8c7yzGuz8f44hkfQ0XRlcs0lnLwtSsN1NtYfNlj2SqXRRu+28md5TCw81z2BI0/Z1dixFIjm7/LQGO+nMu5cu2uNsLlWFFQM+4wZ44kBcBsUHI758sAUGkARVcnwc9eXAajvl+bgHDJ5Tg+rHG7R5+pGc2ZTx8U+ORxd19y2XXsnFkhjHXSv9vrIjX1uVEmwso3wGWXm+B715ZsVpbLClQrcDWg3TQfP4ihtMZiTTftUgV6c9nnNBb8i48DNGKFSDbPme8sx/j4AXH5Lz9bgtIaH9yJILhGyW3P5b+YCsi1q+U7W48lGwPYCJcZiKutsZssh1v/3Y7LDmdYM2Wqci7nyvXoyLL5znKMemxj0tR3FhzgyADDnRXVM5ad5XJrTKyTdoPLADDgAwWHY6igcHulxzE9YlwGaBHN1vwFaHekzylOaT+vF5dvLERUw7Uhk7FXt+u1rl108987cTkwawUOM3Vou7S31Jvj8qXZCE8dcrBUU00LjDaW/b2ZEDcW5LqT68Rlq1gBcQjUWG8ut77f/j3LYcvU7PO0m1wuuelirMvpGRccWAs0yj4lfu9lLjOt+835yLUbqlQqGB4exsrKCoaGhrb986XS+NrlOhaqOulwOCOQBTK1A+AmSmiDr8mDYjId7L8dTgPtXhPN1o6hn47RBi0jSR3xkwcdfPoJDx/cDXHlXtxkeWsLcgNp0LhXwJKxtEbfX/9kAZfuSsxWJOoRWS7EsnnAn5WdxDFQp3hiRKBSV5AK8F2Gl095mF6S6x76i3fJ79/Kc9IMDq01HMEQxtpcC41YI7G4LTrkkT45KvCpJwg6l0zdvQ9mI4QxFcO+uyKTbFrb1pyRN7s979jYR7icbKgPlATuryp4DnBhwsfUYozphRhrAU2++inC3kn2OtqJano8DCWPbrKl+vpJXqfPsu0+VGAQjCVtKBXt2nYE+f2/cMJNBj5SaZS95hoJ40MCzx938L8+qDdlRdvjAzOwUf3XB2qnXve6DcYLDhQE0JCUBRVEGg43he2RTlIZA5hef0x21226CEIAsuf6yRMO3r0V4fp8TNnUmWs6UmDgXGO5TgMLV9D3heZW9R1QVhYDtNLwXYYLE/6OA22n+8NcufrRbnPZ9kF2AiLM5CPbB2Qte4B0gqKR/g7YfL/dSVvhMtA7YGnPvSOXzWqvxvoMSft+mM8YKjCcHBGIFWVUu0JjtCRw9ojbN5cB4MQBjloA3F6RTVzWoP7S4cDkmLNrXA5imgRuNPjbKoenWbsMdD0BymI+Ncrx8QPZZHHf63MEo0CAMNuPPAeoh8RlBWCsxPHauUJPLr940sX7dwJ8eFcmi6bZ6yr41rncLlkqq93i8osnXUil8T8/qFPWb4bLnqA2tbZPBZfuf8tlTwADfs7lXI+n9gqXpaZ+wrKvdc6c7fOzEZftZDMDMdYGof7SUx4eVDWUUrg2r6AU1ZdLAmiWX8apYLWhu/an9tw1gGfHBbTm+5LLdqfP29MB6pFGGOtkF0k2yGi5HNnxDOufy9lSNZtRyaX4heWy3aHqcrIwrDT6ny/b8aAnaA5n23GzXL54N8SP7sbrdq8mrha6O1d7aSPz5ZLLDAvpHZ6gMZQ0AXibwGifyXbfk3M5V67t1W7ch8t1iT/9UYPG3y28tX9CZXYPdohlty4acfSfNNWvdoXLxqVhtAQcHHBwr6KgoYkTmTjAfuFyrzkzY+m59OLyrUUJqTXWAnrDjnHZpQXqINLolSttz6FfLr93O8JsRSKINVyOJi4DxCvOFT6alTvG5V6yHAVo7ETWzrvL5YJDu6RvLiuy5eZAwWXUnmYMN1QgJ9S9yuV8p+xjJKXJom7NZCXYm19r8mfnPJ1wDngMnDPEkrKNFOh3gz759MexQj0mi4RDIwJLdYnFmm7b6QPrIZfNgLHKDsYZgLJLnQ/zGBjXmF9VePdWhCcPOrg+HycDYEcAOjMhjFVqb9OpE7J2tUrTi/74YiPpJIKsB0EH2QVdBupsPn5AB+Obidxf3AiwFlIm14+fLiQP/fmjLqoNjdsrEkUHCGNG/u4xcGJY4NOnKMspqKcgFgwYLgIrdUBB48ZCDMcBpNkdeq8i8dxRF7eXJRZrEr5DC7u2c7Yw9gTgCIZKI+2gIgUsVDWW65J2Bxuv9clRJ9lRadt1s1IKkGaRk9lJO2h3ThCRHRg3qTW9duVSrQO6fkFMkLSDgUDS/VJ0mfGQl1iua0TmpgwkMOKlr5+tSMyvSTiCUa0onQ5wgDRjNwbQk7Jd1KvtbDB7fJDj3qqiYwDDX3nOxzeuhmBMIVIMJV+jHtJTonTzMVk7TDvwYUjvRVv/4NJshKmFNMhtF7g1aJJvKR5rQMnmwUsYA0opYy1KlihTizGeN4Xuc+XKtTl14rIyzyHn1F8OFqiMwEodADR8B1htpBPMyVEBBmBmSQIMOH5AYC1QXbncKtGGy1ltC5e7fIeddPXicruafMlnsHRCslTXWK7HZuLDsFTTeFCNMV+VG+Lyc8c8aA3MfVBHTabfI8whhQq7xuV7FUm1SmV/gdlukooa3c6fUstgjVtLsmkXUa/PEdzWaGJJJnMYm2Q/0MQ1VsCbVxtduTxXkfjgLtCIWNOCJufpBEwQJLfE5V4T1M1wWQOIM8EJh1O7ZBPSWrkMAF+/EpDVozlPpunUpKLxh+V63dhBWoUSqDQUNHIu58q1ndoIlz0OhJKZxJr1c2bOgNWGBjNcLjgM04tx8sz3o9bFqtZ/lz3qA5wC7QT4cJYcC0bLHMMFYLGWctETFCS28/9Ko3sHb/sx20dfuy/Budy3XL4w4eO5oy6+Mx3CF0CojGOT3a2qU6cIm+DWL5cBnSS3b0YM9L0sw2VpuJx1SrELCN2kDXQ4o3a22gqX62F6LW3gVFm3CJYmTG1W/c6XT44IrDRksjA6OSbgOgy1QOPOisKgR5akoUzb0YqBAsehzLmcK9d+k9Iab0+FTTsfs3Mqu6Gi5NLz1ymW3cTlEYHhAsfUQtTTySmrh81lmyAtNbBQBVbqMThniKROYnhdsLznuHxhwseVe1HXObMtS94vl5fr1E47xmWlIWIzn+YAV/0tgPbL5TC2LNNQgqHEmxfCZysyYXEnLrvm3tqphVkNGpP4rnW/1LvOZa2BOxWVxB9ihWRBFub39LzrPcvlfFH2MdKlWbIXKJqdpLGkBRj7TChNmYc/9bSH2ysKzxwh20BAoRpS51HyGH7yaaoRdrjMcb+qEm/uaCznbgABAABJREFU//FeDbXeNcCT70qCr0izTuy/Bz2AcYZIAZNjHHeWaYB7YyHG/JqEYAycaZQ9yoQ4UOK4Pi9RcqkjcxjZONpnPvtdAJ1LEOukh8pOjj0ORD0WB5WmzkK3vDeQgDCZt5EClmvA5fsRPvMEFQeoBhqrgUIsNWqaBg21iCZalYbEWzfIr95z0l0zGs2glgqYXZZYC+kYwpjhflXBcxll2UTrj12Date5Is2cYhrQDGbXpEY9Ak6POQTcQOOICUaGsU6slTYlAwrB6PvsAdlJpV18dgXDYIFhsaraTjaZ+Y/gdJzL9WYbh+ECkkwpgIDlm3YUnBYtXjzpkZ3iSoxaqKnuAgOEAGTcHFTI2l3stMg+RCfXebmh8I2rocm+pezoo4MOXMFwdyXGg2pzAzmMdvIk/85kU4Ux8N7tCFIrSPMQ2MwymoSngxsgvceyEuY+4aB7bi978ufKtZ/UL5d/+lwBjQi48SDGvdUYkWQYLBCbD5QYLkz6NPi+FYJpJFmo/+P9GmptbGDbqZXLQKZ2FyMuO4JDcIBxIIoZGGhScHMpBkN3LrucbJbsd7R+l92d0ovLnfplBuKa55hAGej1gQSk3V3CgOWa7pvLq4HCvZUY79+NKXHNHJ5dKIxMUDDWwNwKfUbdTNB2gssjJY7hIjC9EENuIKjfrq2ANJPctr3t+xOnEQaUHBov9eLyiQNuk900QAu1nFHGK0NvLseKbKwW1iSEoEVOm5Fsd6iFMk1E2klthMv3VmMs1pob6ECRgi5Wgq3nsiNot5a9rwoO4AuyvLYJDjarv11WsdTE/5zLuXJtnzbK5anFuOuc+b07UcJlzhiW6hKN1V5LUKkcuxO35WdSUeDXd4jL48Mc82saoUkEub0s4Qs63kGf+q0nxximFhU4a+aynS+3JuJYR4dQmuCkRJIQsx+5PLVIByGgsRoCWuum2rIaZFNozz1JKO6Dyw/WJBa2YuFgvr8oTDwhu2PXtrE51m5ctszgINtJm/C9VS4vVhVKHllztnIZaUhlR6UUAK2xXEt3qc9WFIouzWl9B2BgODUqcHtZImzZvTRSpOO3yrmcK9f+0aXZCLHUSYk6jjSOaBdzDpQ4PvOEh5vLckNcnluNUQn2JpdbF3w1aHF5qU79VJIkJXUSc+2283cvcvn5Yx40A5brOjme1nOOTfyYbZDLrfOzjcqWFwIo6RxI779sLNtzGBijY2mVnbYy9M9lgNjMMzx54YSL786EuL1MZYAchq5cBnaezUoDY0XgbuXhcNleC8/sTLc7z7PSmj53r3J5F8IaufaKJkcdeA7AGMPEqIDvphMo24H7DsPUgsKz4w4u3qGMHodzDBc4HE4ZKBfvxDh/1MX4sIPJUfLmBoCTB0TH725Vu4GsrevJzALTWkOjFmncXpY4NMhRCylTZLGmUIsIGI7gePVMAcycSTWkBz/WtBKY/YrszV4NNV4752GowNZNaGy9t6x8QdZ1nkh32NqMq9bXhjK1tKOaqels76N7ER6YRcdIUSZUYLKcHtQ0bi5LhLFGNdAYLtJZKQWsNJDYGJc8qv0bxhqVQONAieH8URdPHOBJrdZ2IFZA8l0OAwoeg8tZkgk84FEmylpD4fUrDSysKRwdFBgssqaJ9kY6Dc6oRkIk02Cva4raK9uOxgpickzgi2d9DBVYku3jO9S+9vsFgCGf/lWPdHIfULszPFiTyU5XABCMFgbOHCGrDMEZnj5E9hy+oLaqx/R/O8Fi5hwHPNrxE6mNLcza13qCahC4fTSYAposnGmRXiX3fCR1ctztBozZBVnByDrJy6TczFUkOBhGSnQ/nh5z8NkJH4M+h8uB0TJw6gBPFwZMNphgtDNu0Kdsv7LHUPQYXjjhGnuKXLlybUX9cvninRhFj/qqSNIrLJuVYnjvNnH4M0/4OHvETbj8hTN+3/1XOy5r0KSHMeJHrBSWagrLVQVmdgfWQo2asd3RujOXXcFoh5GdQJsBslUogYkx3pXL9vU2eOxwYLREyTUaFCsuuJkFXiNpO3dsjMtLdYVvfRxioabQiKium50AR5ma60JQTbGasUSsRhpPHOA4dUCgFm8fl2eXKSnt6HAzWNotUna77naya3ei+g5rSsyxO2d9Afy/53tzebjA8fxxB9+/GWE5W46AEUcbGVZ347LDqCRGKGkiZr/DF/aep3sx3iKX7ViumzbC5UgytCLxQbV5ccMRWMflKAaKHrF1rMTx6hkfjmAoOmQF/ZOnnWRMY22v7H3vCbJWzrmcK9f2aiNcLvs0B+s2Z37ppJdwWWmNCxP+hhJL7KKclV2g49za5RKXr96LEUYKh+2cOdZYaVi7ezoXpTkcRty2XGaZ+bJqw+VjwxwjBbZufLCTXL6xEGOxphBrOobVwNTu1MBibfu4nNgvt7SvbWOxAS6PDfCm5N52nOm2o9i2f80kcVkuW2cumzTbi8vaBK5HSxyfPuVuG5ddAVQzSX6OaXe7m7pfV5ZWbZTLNxbT5G17Hks14nLVxEUoiZiBtTxny/Wcy7ly7VdNjjrwXbI19QU9v1k2l81uyY8fyJ6x7JdOevj0KR/VQOPi3RAvT3h9xeysdpzLPP381q5VKloMPT5MVunZjjM5juYfQ+xxLq82FJaqCqGknamd3CDsQq/nom8ut8axN8JlbhaAbSzbjpns4mA2lj0xynFsWCSfZ9cJ7KL6RrkMkCvpF84U8MSYgxdPuqiFGqsm8HuwxI1Nb/r6Vi7bhLp+ZV9rrcCtZX83aQC3VvRD43LRZfiJ0y6GfA6OlMvWGdUXtIi7l7mc75R9jDRY4Lgw4ePGQoS7KwqNGEmA1HbQtVBjtiKxcJVufqvsVvm5ikyKflv/9zDSqEebz0JJFsPM82F3JnAAKw2NII6TRT370DoM0Erj9ct1LNXSn1vv+OzkIFt7z/7uuzNxMgFoPfJkIc4cz1CR40vnCnhnOkisiiMJxGy9JUKskIBockzguWOUibHaULi9LJt2Idrj0qDFS/t3aLoWDgca5vUKFPyshQYA5qBX6hqVusLXr4Zdi7m3np+vKdMsMIHP1UDjBzcD3FyWaESmA16TKHoMrtBJmzAgsSHuJbt4bSVVc/06e52lImumD2cjNGK63xhoMBArndynjgDWQqCyECeL+DarqBooY4mgk3qzyXfKtOOdXpImwMsglUaoTCYao6zv4SLDUEFgfk2CMbrPoj53Crd2768+7eMHtyPMr7bf/dtNZJVBb/I48M7NCPVQJ8fS7r5loOM/ajKp3rsd4c5yjFgDx00Q/+gQDaC+MxWgGgIln+GVCQ9/MRUm92PW3juS1L5Fm00Xkq3biyf3HtBy5dpv2mkuB1u0ubVBVoD6Ult/W2lrDUODcJuQqdGZy4zppr7UThyzerCmu3LZThAs/84cdvDUQQf/50eNZKdONaQdH63noZStZ9M/l+3OEYZ0kdAV9DO7k5eZ160qnbJZAX/xcQTHaXMiHWS57DvMWCHSAvEPb4WYX4tRDWkMcGc5RtGjJDHLZWEmONngcj9fa/m7GqS7de0OZm3O+Y0rARqx7splqYCvfRRgxdj2aQ2MlFgywQboXrH1czpzmSb2nqNRi+j7HA48eYjjXoUmd5xRMKLRpzPLdnKZ7BJpZ5XlchgD1ZBsk7K7v7Mf7Qmqo/TiCdp9NFeR4JxecX7cwQdzMT7zhINvXAupnIICLpxy8N5dSbbNGok9ldQ0Bhss0KJRzuVcubZXG+GyO0vvmau0r7M2V5H44U2NJePuE8XA6TFO9v5bEG/HZQVMLykMF6gmruWyAv17qSax1tBYM33nWkAB4KiFGw+bywAQxCqp02tfa9kcyTTQuVEuvz0VYbTEEweoXgiIFFDYAJddwaDNuIszuheCzLit28Kl/ZUCoNtw2f7+YXGZc52MNTSoRtvRYYF6CNyrSKyFuu84RKu2g8sAubisBgqRZLvGZc5MbEMDAz4gBIfW5Hz23ekQL096OZdz5doGDRY4Xj7l4TtTIXRM9rFZNgcxIDzi7mbmzAcHGGYrm581byuXe8QeIwk8qCraHSnXu1y0djmjJY5XJrw9zeX5NdVXco/UQBgBRVdvmMuecbrsl8tKN1fLWctsjrH1i+3r7q9Seceyx1CPdOIyshUu2yQDO7+bWowQSYaSS2OE7eayRjpvHi0xOBxYrG3cNZOsiCnGLgGzw5rGKZGxMNbbxOVXTrm4u6qwGqjEUcRyGaaNi8Yueq9yOV+Ufcw0WOBgjCHKbP8uudnt37Rg8+mTHj6YpWDTeJsFnokDAlOLMYKIrAc+Xoj7XrjqJNsJkE8+2SBWIxrkxjJd4LMe45GkB6t1XtuukHdrX8QZdTTTi51nxRrAoAsUPY4vnvMhOEPZZyg41NHYwFi7fi6tzZZqajFOslakBZqZ4TJQtpLSBC7OaPcMs5MxmAzZTE9pv3ehqvC/P2xsaBKjkWbi2n+HErh6X0JnAn9kx0w7L1cbBH5P0HvtYnQ/cYXWibwNBGd1e1mi7DHE5kQGiwwwi7iRMkW7HTr5SmCyiAX9CWKVQJGBQDtSXD/4ev6Yh/NHXUQx/UxwhiJn8DjtjJocFYnt5xtXqGBjIHXf97Y9R2FA8I1rAaTanG2EBTUA1CXwwhGBb12PknurHWA9h56dT55wIDjDU4cEZpZicMDUT2JgnKEWKrLvBj1bX78WoB5m7ofMfR0qWnxxzMAiljTIcR3sKS/+XLn2q/YylwHq632Hap+OlRjurWrEUie7NqxrhO3o++VyqxiAQwMc04udD1ppyog8PCBQ8hmeO0a7jwY8JE4RNtmnVe2Czb247DtA0eU00DfsjTXAVGr9qzJstouZSlMQcyNTew1KfBFm8mG5fO1+nBxTDKAeawjOmrjsCyBkDAy6b+Zks2Gz7WL/zkCfs2IyeQXrzuW1UCU1bABqCLs72H5Xu6BIK5fpuzmG/JTLnzzuAcfJuiyINaYX4rYLBJ3aFWjm8mZ39CQL9hqoxcALJwW+fSNCbCaYjslKbpXDKTNXcIYXT7r4wS2NB2sKdysSM0sxfMHw9SshApmy/ZvXKUJj7ylkuKxB46CCo3Mu58q1A+qXy5OjFEq5V5FNbP7udIjbKxLDBUr6tFy+sxzj2rzeSklsAO25LJWGxzWW62mQUXBQX6yAe6vNSVrSjO+76WFwGaAa3nauYwPYliWc0XlLpTfM5VqgML+2MTZvhMslj0E2dMplxeDy/rksQPeL1mjiVLaNHhaXlWLGRUrDcxi+eM6HwzmU1njjSgOBTC06+9V2ctn+3XcYFqoqqcG7k1xmyAR+AawEwOEBhZUGXYvpRaqfaO0/c+XKtTVNL8nEMcAuKLqCSgrUIrKOHSkyPHfUXTdnznJ5ctTBjQXaregLYGpRorGFDUYA9QWeIBvbfrhMC3l63QaWXlwGyL44Mra97fpOqanvK3sMvumvfzQXP3QuJxt2Mv32cm3jXJZAUjZxs1y2x9PtezXSXbH238kxtLxxxVg/xwwYMlzWWj90Lsey887jdrJrGNZKejM1ebMJ7jY2L5jCapAmNLU7pM1w+f/eCGntJDP+yCY+hgpoZMpL7kUu5/bFj6EmR52m7d8/+1wRR4cdlFyGosvwuQkP48MOLkz4ODkq8OJJN1ngiU0Hf22efPo16CZPgplblLUSEkyj4NI2dw16gJR5sgWnreetuzA3or902sFKQyPqMXloSOALZ31wxnDxbojJUQenD7oY8NpnDANI7G8VgKmFGB/cJU+B80ddHBsWid+7DexZkHkOS3zkbVtaa0FH0Afb92S/WGFjHS3M8blmgdV30u+y4GGMBgxFB0lGOEAgq0eZTrZNgondZZltj5EScLDMmmxBOGvugOwEuuwxOILhSJknFiVjJY6febaA4yO02DhaZhgtcpRcBsYYfEG7hgQnW4nJMYFXzxQwPkQr+J6TBk44Y3jyoECY2UHGOWUCPXXIAWcMnDF88Sx9X+t93ct6KjlvRgvsodz6sxFEwP+9HiULBe0GEAwEzdWAdhwDwPSiNDX4NBox/W65rhCZBRULp6Blx5HvNF9Dpak2hssZFGiQZdszV65cW9de5rIG8SKSGvVIYcBPa8xJjcQ6aMjfGpd/4sn+uFyLND59yk0CvxMHBI6NuBjyWUcb3+yfjXI5VtSWLjOTCEXn7bbsglWqedFso03PAQy4wJDPkz7YToy1pkxby81WLtciJLtIebs2aOEyYLnMUfZSu6Nsm2XfW/bQlcsA1XF6YkTAE/T7SDKU3XS30OmDzpa5/PwxDy+d9FBym8+mF5ftAjPMpM3WnNmosm8JYuKyyuzEaRf4pddqXLqbgnapRhwOYiRsDuI0EG//ZC2vW8dWCoACy7mcK9cOqR8uDxZ4srPWsrkWaqyaTNHBgsALx92Ey2t9BFv7UTsuD/pANaJ+yM6ZbSKzDZ62fkYvPQwuA8ALJ10M+iz5Tjsf1jDWdmbHScJlM/ZgFpD2fS1cXmtT372bdpvLBwYYJkcFPMfUVWvTbva9D4PL9twvTHhwzEnZOfOAtzEuA+Y+3UYuSw3cWmreIduOywz07Lx5NYDSGpyRTedaoNGIdN9cdjk5amVVjexdbb5rex75XLlyIS0vIDjDxKiDZ8ddnB5zwBjDSJH6zwsT/ro5cyuXSx5DNaBSJGshLZ5ux6MaSZOE1YPLzCTEts6Z+zmGAwXg+IhIbIE7iWyUgZ864+FHc/GOc7ngIrHPbzofm+yciWXbz5CaFs020vYM5FY0WmJb4nKnhcFWu17OKTbqi/3H5ScOOMnr+gxhJ9csm3y/UemWv682NJbqzUlyrdosl6OWBAOOdH0j/fC9zWWm9XaE7HJtlyqVCoaHh7GysoKhoaEd+57VhsLUItWG5YxBaY1LsxEmRx0MFtqv1V+8G+JWJlNWcNoJYnfAuKJ/m9desoXS2y08ecIU1d5k5Ndm65Q9hlqouy5oMlDQ8tAAx71VBc8Bnjni4M8/Dsk20FAg29mNlRnWAmOpAeDYEEeggFfP+Lg0G+HDO3GSIW27BsHTzsXMT9Ig4g5owAPKPsNYWWCuorDaUEnxdDBbUxXgnJPnv2kkm9DTq3i8eRmA1F74+DDH7IpEw3jbD7i000OZ9wyaAUI9Bk4MC7w86aEa6I73acljePNqI8kiAgDONY4NOXjuOL2+Upd4eybEy6c8DBcFlNZ4ayrAzKKE0lQntWjsHyjTG3jtbAFDRYKgVBqvX25gsUZ2CLZ+RTXoPnhgoLoz/WS6bUR2N1erOKNBgrURe/Kgg8+e8vDOVIDpJbJZYtxkOmUGRknGnrlo1s7ENYv1awG9brDA4DAahDkc+Nykl7TRTmq3+sNcubppP3PZE50XijYqxmgQa/uObO/GTb+yWWZtC5dvhJBy/YIoY5RgZMcNm+WyY/690SSofjXgAQMFqpPy7q0I1+fjJi5rTdez5JJlbSuXNWsOQLcqm0jWxOWKhCMYwlhDmYmNvY4Fh1gQSrajXP7BzRA3FmKEkibaZZ9TSQJFx/DT5wpNzFmuSfyfjxpJfXjGKGGsm+xCe6+s6I1K8Pbtns0mZwAOlBm+/EwR792OcHspQjVKs+Vt4mFrsl92XE3XDMlkVHBgwKfF6pzLuR437Wcu2+fYKmuvulFluZwk9NrfYWtzSQ5TjoebmnDdjgNb5/KpAwKewyjhCcDNhRjLjZb3IT1Xy+Ve89KtKOfy5rlc8hg5p/S4MGIHuJzlb+vPgfRZ8R3gyYMuXjjh4p2pAFMmPuCKdKNALy6PlhgqDXLVynK5HmmcGBF4eWLnbRJzLufaC9pvXF6qqWRhp9VqvvW536jsJpdOXG5l4kY+FyydE2TribaKwSwoCtql6btsx7hsHbPsrkrb4+1ELFsw4OAAwxfOFrady/Zc7FzfLt46HEmsOJLYN1yWSuNPf1THUp1K77g8XazvptZx6naoE5eB5gXjzXDZE5nyl4bLQayxGtC12+tczhdl95j28qBKaY13b0XJdvlapNDYYMbpZmUnYUCaYWO1lclsP99rd1/6DmXa2M6g0+vPHhbgnGFqQcITVBdNabLSGC4w3FhQTa/ParceRgbglQkHq6HGtfsSjXh9YNHlNBkNFUMQaWjTkXOOJqvbbt8hGC1iWihGmawepmlnh1XBwF4qYKzM8cqknwysWgdfsVJ443KAUOqkdqzV+BBlxFUDndSJSGxLZkJcn4+bJsBAej05Aw4PcnzpXBGVusR3pkIClylI7woqKl/tsWhg2w9ortW0E/Idk8VkMpkGPEBqhqKjsdxAslCykcElAzBaBsKYQXBAMLLFiDXwV84X4Are1wB4q9rL/WGux0d7+T7sxeWtTip7yX5+duIJ7B6XSy5DGCus9WBS2QOODgncWVGb4vJOt6P93lcmHFQjYKkqcWvZ1ErKcNlhlHXdyuVBn2OprnpOstpxGaBrFym9jsuC0SRoJ7n83u0IV+5HybEz0AQqzpz3wQGGv/xsCasNhRsLESIJ3F6STVxeDXpnue9kwlv2HhEstZ6SJlDgOZR8VglSKymG9HX9HLvn0H0vlckCNtcr53Kux017+T58mFxmjHZxKHTeibAT371VLhdN2bpVYzF4fJhjZqk30+x371h7IueyPcZ+uHx3hSxAY0VB0HqkewZ2t7pI0euzW7lMDlIpl21d5SBKA/H9LhRbLp897GBqQSaJVoEEhgvAF84WwRhyLud6LLSX78P1XNYI4zSeZ3vHHeFjFy7v5Pfaz7fOTw7TO8blnT6PVh0bYjg4wLFcUzvGZcbMzthMTDeJe+wjLt+rKIRSoxpqDPq0WNnowWW7y3g7r2e7sZodO3L2eHM597nK1ZdsZ/L8cQeLNZnYzOxGxys4ZelUGgrLNZ1kwChGGSKCUw2BnRADTA1PjWrQ3Om1kwbAOMOnTnrwnAh3liTWjFXGYk1jsarXv978v7VA+3Yr2xFqAG/PUG9sBwetOzAjRRYPZWtJqTUGCgxDPsetJZmAyVKYo7mj5Aw4OMgxUmCYWVJgTDdlHrUOSsJMdstyXePjBxE4Zzhc5klNiCgGXjjh4o3LARZqChxA2adaRq2++4ANiGrcWIixWJNYNllC2cWD7GRQcOD8UQffnwlwcylGPSaoR+a6ywgIee8FWWBnr6WVw022rk7vIcqY0+sSJjZ0OAxoRACHRhAzeFwlixh/fLGOV8/4mFpQmKtI3KtIXJjwdwxouXLlaq9+uLyTkzzfAY4NC9wy9X2sBCNr3147F7fy3UoDDqO+uNpHcphrasKfPeL0zeV2P9vJgKEG8M5MDM7SZJ5WLsea+viBQjOXx8ocGhoL1XRh0uFpDXirVi6XfUArYLlB72rlltSANElbO8Xl0Hx+doKcPQzOyDry+zMBFmsSKw1AKarRY3cyh6w/2zGbQLATD0Zy3zD6exAhuZEUKOM4jHXTJFej/0xkDRjXC/omrXTO5Vy59pgeOpcFcHxYYKWhsFTTTUmnnG3eZaqf794Kl8NI024IUD83tai6JkDvZHvmXN4cl+0+D1vrrdLQ62wg20nD2Dvr5vn5dqg1EcJy2cYCiMvrg8/9zuE1qAbeitkJz5Fy+UEVeHsqgO8y3KuonMu5cj1EVQMNIXSSCFl0KdZl9TC4LDgwVACW69vf9zGk5fRo8U6j2semms1yebc1W9GYq8gkyXarXPYdSiLK1kL1OHCgnIllQye1YNtxWcUAGLBcV7ixEOO5Yy5+eDPEfFVCKbYnuLwa9MdlhWbHsO1QuwVZO7dVjzmX80XZXB212lC4ci+CgsZyXSMIzb/NA2Hrru103zzkU8HzSoMKoQ84QKDogQ0kwPp4QjdznPY9HBRcZpr+3s0J8tQIx0snvaT22bPjCn/2UYDlumoqEm4/H5njosXf5o5vO9u34FKbZS1re+3iJEs9jaLLIDjtlry5JCnjytoE2M8TNIlM/s2pcHsjorPwjGeBislrXzONINOYSdF4DYBrzK5IKM1wfT6Gw2jx/c5yjJmlGAJkDS01HcNfesrDx/MScxUJzwEOlznurUkcKDHMLCooAPNrGmWPIZR0LTWQXGAOmhB+/kkPH87GWK5TDUFouteyamcf3E62iPlOqtXie7vsnzyBZFGXsXR3uNIUSPg/PwowWGAQjAYRU4sxnj/mbcM358qVq5v2ApdtBuJAgWG2ImnAy4CSC9RCmgjFfSzIbpXLjRjwoFFyqE5cJ5Uc4PiIg+eOUYbqRric/c6daNNWLhd7nAvQnsvX52MIRk4Jq8bKKlYUdGjaKdLCZQaOM4cF3pmJkqSodhxRCjvKZbtTSGbuX24WN0+MUBmF2YqC1houB1Zbxg67lprdQ3ZcYRdos0GWrR6mvTbVKOdyrlx7SXYh9lCJ4a2ZCA7TuHovgivIWaed1dp2y85jSh6wZubMGsTlhtmx3zpdbndMLt+4w892cFlpDbAQNx5I2h3acnxZNmvsbHsWXEoUtvO9ggBqPZJnIg3UIwr4e4J35fKAR+2UzMcF1SCcqSszhtufXG6t12v51I92+vnQyIyP9frfbVa0S0nj1golfVtbY2UWmG8sSPgOUPZ4zuVcuXZZ2TnzUk1hpU5jZ7vzMbtZZCfUjcuBYcxirfk97frCzWzcyW6cgWHIbnB5p5yyHE5/7A7PfpjRL5elAo4MAHcr9PlJs7HmOXPZY1g117CVy8nxGNZqRTuzpxYlYqlR9tA3lydHHWitcXMpxpr5vqWaTuLKjxKXAROHecy5nC/K5mqr1YbCt28EWK4paKQPfzYzw9Zx2Wkt1QHO0syc1bC5AHcrGLI/A4DTY8Ct5c3Vu7X++ElQVmNdENeq6AI//lShyZ/c4RyvnfXxP96vQyLdTQoYyzqZHqz9fKutdIQMaKoZShlSQMRSP/zDZY6by6rrd9hM16NDDI1YYanWBj5G2bqFdgenBhDEGp4A1ox1MWP0/dkaCFmIaxAcbW0WTzAwaFRDhVgCmtHuVc7o974DfG8mxGdPeXDNBNNmCnOze8baWVSM/UZyfiz97kGP4dLd2ASyqaj4VgYVOz3QA9ovHDQdA9rfq7bmQqfzi2V6/C6nurtrgU4GAAAtJJRcstQ4f9Td2onkypWrp/YKlzUog3GxmvaRSpvFxZbX7iSXyQaKvoFDd+zruGB44YSbsLkXl2PVnHzTiXkbVT9cPjIkEC5JhF2C4gzEsqECUHaAW8v0gTGo785qNUj/3splqn2j8b1bNEO3C+vZ92Trv+w0lx0OKJlyGYzsvuoh3eeWy2td6if1EsPO2Wq3qtPXCE7nZR04mn7XZdygMysRrsi5nCvXXtBqQ+Ht6QD1SOPDWUroTGpmGRenHc7PBIBkJ8tyHYBWCQ+7OVa0zlNOjQC1iGOhqjZs8b5VLnPG8OIJD4u1BhbWNO2aALWlDcYGLXPm7ZDDqd/NJgl7gsHhVIuMM0AIhgGmsdqlLV0ONCKqK1oua8ybQHs7Li830nuCM2LrSkMnydmNaH9yeSsxi9Yk451SLy63G3t147JU1EYs81pHUIJiq3Iu58q1e2qdM9sdfxposn/dSVkuL9UAloll1yLqK1q7FRuT3A4uZxdJNXaPy9ux47cdl8seg9Y6WTQtebTJZju4rAFMLzUfuOA0p7JzZlcAq8btSLThspupacoAzK7S7tiiy7CmNFZDKkXQi8uTo7Q8985MiFqQ7szNuiq53NzLjwiXO+lx4nLun5GrraYWY1qUAsEklOstj6RKa3LutLJBNA2so6jDgZEC7fDLPp9nDjIs1lgS+OWsfwDbTo6DOr8h30Ctw2u1Bt69FVJWkVGsFF6/EjR1Gtr8iSR1Eu2OhzMTXN+ABKPzH/CA02O86eHWMDuYzMHXI+D2igLnndvDBqCVBu6uKKy2FHVv1w+aOXmTNFLLBBusWDaZak3vZWkxdWuzBQBjJQ5H0A5XaTJcQpnek0rRAsG1+zHCSOPibGR2Hmks1nQTUOxALBtkZ7AWFxpRrJJOXGzx5t4N++Ks2i3IZv/f+tpuZyc11ZQ4WOYoeVQYnQqk03WhgDCD56Bp8JYrV66dU5bLth9sx+XdeBpbJ16Wa1kJtvNcLjpkl9hposoY4DKN925HCZt7cZkBba19GNv4mIe3cLk1oayVy9PGJqrb91gur9Q17qw0t3q7NW6OtA5L9jOsna6U9LtY0fGsY8kWuQwAt5apfIDSiris13M5sJNZbbilic0rdQXB9bZw+WFOLgEz5tPtXTTsgnHrr+y/bSCg6CHncq5ce0RTizHC2CQlZRdkM2rHx52S0s3zVI31/Y2dL2aZcPoAg+MILNZUwqDd5LLSGu/eDrFc08muCXt8dt7WjsscG58ve4L+7wrgy8/4ODLY/MGrgcaaCbYqDVQCjbrszGWGNBgbK+DuavPvW7ls557CLq5mzlVp2tnzuHH5YbKZm3uXtbnn++GyUsBIkcETDGWfwxcMgtPneQ5Q8njO5Vy5dlmtsWzZgc27oXZz5tZOhQEY9Jpfd3II+5bL/VjkrjtedOeyXQTVANZCbCuXLUs7xU2tO6T9vFYuK00LrMwstkq7O1NpuIJRHLwLl2eWJCZHHVy5F+Gt6QCNSCfzfRvLtn9C9ehzGUiT2R8HLu/LRdnf/d3fxeTkJAqFAl566SX8+Z//edfXf+tb38JLL72EQqGA06dP4/d+7/fWveaP/uiP8Oyzz8L3fTz77LP46le/2vT73/qt38JnPvMZDA4O4vDhw/hrf+2v4cqVK02v+YVf+AUwxpr+XLhwYesnvEuaW4nxJz+q4b3bAZ4dd3BqlEMqmty1XYBj25MN049aH5XszgAG4PNPOih4fN3OwY8XyOLRqq/i0Obhp4LgDGMDHBNjomlnZ6tsZz21KHFpNk3ZefMqWSRmX5c9lk41agsOcPIA7xu8IwXg6cMOnhl38Nq5Is4f85qKjwMdatJ0yYBpXYBtzfRtVck19wTovFr7N/v9dlCUDQYIDhwo8rTmkQbqMXWaRY+Cz/bj7DXUoOMPJDBa5ri/JnFtPsZSle7Y1UC3HYBlVbCJMQaQgQIuTHjwHILofpZ9bu3dl2Vza/sDzYXsAcr++uwTDnyHBmWrgU4y7krG1iqM0TR4y5Ur1/brxnyE//F+DWcOc0yOCTis/eTSaqM7XDarVj7FLQvCwwXAcdiOcXlyzEEkdWI/1E4aQEMyU6OF2NwPl9sl1bg8Deb2I09QX3n6oMBr54p45XShLYdb/21tabudk/1/L0y5nOr7ZjPEs5OWetQ88WodN4wU2Ja4vFiTmF6IMbMYQ2uN5UY6KbVaN6nigGfYrDXtKB3y2SPBZanpHk4C3Wi+Hq2TYAZqb6tIAS/nXM6V66HLzpml0jgyyFFwu3N5N5XtU1uDvwxUwy75nfnZ3VWNjx/IhElb4bLU2DCXL81GmFogi8TssVkFcft6uIwR50SfES1fAENFhkMDHP/PswUcKDt40FJXvt25d+PyRoOXAy4wUmJNZXuy1yxWOZd3U0qTxWjYJibSD5dDBXzymMBIkXZyVQKqS/j/Z++94yS5ykPt51ToMHFnNudd5bCIFSAUQCLIEiYYbGOML/eKjOEaDAL72ggu1+B7HQCjK2MMmAwXDPgzJtkySGSDAlh5Ja200ubd2Th5OlQ63x+nqtN0z1TH6Z49z+830k5PdXV1dfV56pzznve1hEqPqL2s0XSGhcayl5rFxrKHU2ocsvRYT2boSS/L8DiSMXOymgJG+pbeyxuHjcJzK8eyK/dX6eWhlKAvYWCVeDnazg8W9vK6IZNtIyY/35svjGXnPFmoM1uL5exlKJ+Arnx8uXm55yZlv/71r3PjjTfy3ve+l/vuu4+rr76aF77whRw8eLDq9vv27eNFL3oRV199Nffddx/vec97ePvb3843vvGNwjZ33nknr3zlK7nhhht44IEHuOGGG/jd3/1d7r777sI2P/3pT3nrW9/KXXfdxe23347neVx//fXMzc2Vvd6v//qvMzY2Vvi59dZb23MiWsyxKY8f78lzalby8DGPew+6HJ9eeBauMhq3XVQbBC2NRJbAz/d6zOWCeYWvKwc8a61MjYgiZEyjOKDqenBixl+0xk4gYSBZTDsAcM5KC8KOzoq0wQVrF//KRSkKjk6p/PNxmMzBqVmfp2xIMJgy2D/u1TV4vODxEBb6XmS7jEvZRvW4wDJUJ1mIcKWXVB3nvKty/wdhIZhqEWKmkKQTKh1ygJLfdLWVuFVeVwbFiWkhYP2AwZOnVORwpWx7GduA4ZRY8ObIl+VC8CV8b7dD3lPRaaX16/Jh+g6g7OZNo9G0lr0nXX6xz2E2L/nOQ3kuWGOWpYqvpFPN1nBKVF3tV/r6E1mYzMi2edn1JXOLND2BhIQhCzVaoHEve4Hq8Njh5osFTTm+SpsEMJhST1qRXvSlYlM6oVcLNwCvIq10tc5Nrf2DbMrLri/Ie6rT6ZXUoF/o9WUAeac4UG0ImMjJgpe7IKC1OUreV8KE4bSoGektCesGlvCzvZ72skazhJT2mR855uFLyUx26TsNQqig3koq0/FPZednTshVDP4JFl6BWsvLQkBukQ5UNS+v6TfUYLJUjh1JL+43EQao5XyV4i4OeV/dl6zsFwylTVWfvYWlxOJ4ec6F2ZzUXu4iPD9cLYu6nldoL2s0PUUjY9mdIPLyvDa1Yix7Olfuamitl51FUvgFUq2kbcbLkRuiSU0p42WY8qVKmb+UXp7Ow7Hp8hTR9dReXd2vygdE7X/CUE92PVlIPVzLyzs32eyf8Asruz0Jjrv4mM5y9zLyzPFyz03K3nzzzbzhDW/gjW98IxdeeCG33HILmzdv5hOf+ETV7T/5yU+yZcsWbrnlFi688ELe+MY38vrXv56/+Zu/KWxzyy23cN1113HTTTdxwQUXcNNNN3Httddyyy23FLb53ve+x2tf+1ouvvhinvrUp/L5z3+egwcPcs8995S9XjKZZN26dYWf0dHRtpyHepnJBTx4tJhaN5CSB486zOTU1fvgmFuYhPIDeOyEx0S2/tdp9XdfFWpefL+eD9POwo2nQKVEiCamBGH+fFFsrKO87f22SgUXBBI/kEzn4h3vzg02+8Y9ZnIBM7mAJ0979CdU7a9fOz8BGDUnxkwR5ucXatWpH0h8KVjZZ1TtZFdyek5y934HP1C58w0hWvIFl0AixqQsND5Jn/dg/ym/MNmgInYlGVeJzPPVDQGCspTLKke8wPNh26iBbRTTQ8yjighzfhhRJmAkLUjYBntPeyr9RIxotFbQTl8OJGAgKbj6HBs3gA2DSmZmeMFXyrpyItsLVNsRyb4Q+WYWbwpLb940Gk18FvMywP1H3UI7lHPhXx7M190utcPLc45cdGWKRE0KtsvL+8f9WO/NslQmBqAhL5vhSpw+u1inO21DyhaL35sEcGjCZzLjc98hV71WqwKmhLpfWIxGhyQkamK9GS+vHTRI26Kwurvq+2D+yi4Z+sk0YDAlyDqy6OWln/toioGkYNWAYNuogWXCaLr8etde1miWlvr7zH7dgZztuvd3q2Qqqka11S2lJC3VnkQDYpGXo7Yq8vJAQjCSFmRdieMF7Dvtx+p7Vnr5oTG3EKRy7hqTNYNWTS8nTTXIbYX9ZhPlubStaqnV62Up4/Wz47KYlwOq10iLgwTGtZdbzkBSMNov2L7SwNZe1mi6jk6NZbeSqP1YSi/7geToZLz+sieb83LSKh/P9qV6rFe8nG+wwyyBA+MBUzk12SdluMIzDJIqDUiv5uX7D7tctM5i+0qzMJYd5xZhuXvZMmGkX7B9pclIn4Ep5LL18tIfQR04jsM999zDu9/97rLHr7/+eu64446qz7nzzju5/vrryx57wQtewGc/+1lc18W2be68807e+c53ztumdFK2kqmpKYB5k64/+clPWLNmDStWrOA5z3kOf/EXf8GaNWtq7iefz5PPF6tET09P19y2UY5Nedyx3yFhgOvBJRstfvhYHseTHJ/2uWJbkmdutbnt0XwhIqfR73Crv/uLyame15WofPoBqjOjBoPV6sGZsJA2qI6eEwhSlor2dT3V2bMNFlwtmzDh3sMuIDg+7TOSNnA89Ro2gp89oVYdRg1J5TEPJiFpG6QtwWQuwEayZcTk/DUWdx9wGJ8LFlwhJQQcnvSZzedwPEjZcl6EVTWiQeaFyMbYTzNIigPHAiWsjBcO5oc3GAHzBzGEUCuRDk945DzVIY+KslOxP9ugUNc2umkTEoQBaUul9zg+4+P5EikFQ2nBdG7+itteQaAi7K67wObOfa4q+J5XEyDReY0+++h8iZIL0won4gPUtZ00i9+LpC24fGuC/WH9g2gVmEazHOgWLwNsHzXYc9KP1ZbXYqm8HIdmvZwwIPAXXlXiB4LjMwET2XxsL0euMQDbElx5ls3B8YCDEx5JU3DlNpuHxjz8QC7oZUOodvjHe/IkTIGUQaxOn1FyLLXeWyeylZSej0a93FclrWf0nGSYWjlKnViazithgmGEkcfhap5mvBznXqf0+NrVl804kmedleDOfS5zDuwdl9imOr+B9rJGU5VOeHkmF/DYcZfxjI/rCxxX1QLLOJLxTMDxaZ+nrLdZM2CQdwMms93TX4b5bWgt4rSDpV42UM7sSwhm88W+qCFgZb/BdE7i+wG5AIxwpU00UVoNA1WP7ei0z0Q2KHjZDEfYTs1K8mFHrXJiMHqfQynByn6TnCcZm/axm/KyLNS4j8NCfpCA26GB0Hq8HFD0si9VcFtlCaWl8HK3EHn57gMe2QovA2WDuqC9rNFAd3u5G+ajogk6lsjLQRAw61F48cXGsqE1XvYDODajViletT3BI8c8Zg3Vr69Fr3u5tG8vwv/mfVXeMDq2gHAi3VDj0b6ErCM5POlxai4cwBZyXjC7oOjl6HOWLH8vu75Kx5y0BIcn/cI4kREO2iwnL/fUpOypU6fwfZ+1a9eWPb527VqOHTtW9TnHjh2rur3neZw6dYr169fX3KbWPqWUvOtd7+LZz342O3bsKDz+whe+kFe84hVs3bqVffv28b73vY/nP//53HPPPSSTyar7+qu/+is+8IEPLPreG2UmF3DHfoesK/EMGJvy2D/ukvOKy6R3n3CZzASkE6JsOXcpZhiFsVRf7FYNkE3n1Rcziq7oS4QDwWHUBVKlwTUMWYgu8VGN22KNuePDRFYymJTgGVimWknk+BJTCBwPMk5Qc3B9Jg95PyBIGji+JGEITCEYSBoMJgymMgF2ycphGZ4USTENXtqGiYz6kPIxB/ENA5JG+ydeF0Kgjj/qAArUKs+Mq857INXfS4udg7qxcINieo9qnXCTYq2h4bRQtQyj4uuoRtAPJHtP+cgATBNAReJ04o6uXS8hUefme486ZXL3wutdhqchEnpZxJFUk7e2KXDCNiFhC150fopHj3sFgV2SbtGSL42mi+gmLzsebBkx2XPSn9dWDNiqjVyq++16JrkWohkv5/2FO7oSlRKpXi9HnR1PgoXkwSMeUgYYQrB+UEULD54OmMpKVoQBUEEQ3ifI8k5qwlSpll1/4YHiUgxDdUTGlzglZuTddnhZCtXhWtmvPDMZZiSJvAyQdSVZR/moWS/Xc62286xrL2s09dMJL9+1P89kViKlpM+Gvae9QjrB/oQg68Ad+x2SpmDtoMVMzqu5QrZDXYiqWDEGXhejmpeTFmRdgQjro/kBHJr0yybtAqlqlS/kZRW4o9L6AaweiN9fjlYdzToSRNCUl73wfcw68wdBazGUEszkltbLtlEc7I/r5UAqJ6tzWv34l8LL3ULk5dKUoq6vvkvRPVCE9rJGo+glL5vhd3aRLL5twzar94fqoV4vR64IqtTlrMQyIO+GqV2lZM2gwdohg32nfZIWOJ6I5WXLDNix3mJsRtBnw7FpyWVbE9y1z0EGquyQZYQLZFrkZcuYn/q50yRMlUFrzpEYhpovStpC3YdU+CP6XaLGMRxfMpOvnVksChxPJ8DPFRcXVXo554QLlHw57x6sFzUdSNg/HgBB2TmT4T+Wk5eXflq4AUTFWmUp5bzHFtu+8vF69vm2t72NBx98kK9+9atlj7/yla/kxS9+MTt27OA3fuM3+Pd//3cef/xx/u3f/q3msd10001MTU0Vfg4dOlRz20bYN+6RMAW2IXADFaESNaYBkLAECVNNxk5lq0/IQrGRWCzKp1M0ehxRxIRASdkU8Bs7UgyninuMOhd5n2Kq17j7DgeP1wwaeIEg7wXM5CSelPiyfEC2EOkREk1IzubVSk3TUMXWf/R4jvGMynsREKaGMMqPS0o1mTjnqPRFOS9+w+sHaun+Yqko200qIehPiEK+96wrMIQoNLhR56hePFQhby9Qg/OVN0ReoCawg0BdG9FAhuvNL+Lei1QKPrpOo2tPljxOlG8f1cGPgjTcQNVg+s8DLjvW210RUaTRtItu8bLjQSCDqhOyALMx6o20EyFacxPZrJcXOweNejm68Y+8POcI+mzBeCYoeLnPFuR9gRCCgaSoer/g+soxeS/GwYaoFSySweTS3nUZgrZ5OXLNdE51Rsv+Hno5KiMQfUaut3QDKq1Ee1mjqY9OeNnxVJo9EMzkpUq/TzGtXeRmieTxk7UnZGHp3FwaiBrRiEWqefn556XYNmJgimiVTtgeyzBgWFS0XTWIMidEg8ZL4WUvUH3D0owccZjNSwYSSzseYhrxvBynll8p2svzr9tqixG0lzUaRS95OWovlwKBKsHTLPV6Oe/PT/FaCy86r1I55KJ1NnlPrY6dzc8PLK7lZceDh8ZUVqloLPtXBxy1MhSBYcwfxy49hka87AXqfS+ll4UAyxCMpA1kGJyccSr6yOHEc2Va4agPWIsANbY/W2XiNvJyFCifCceGZvMge3iVbES17221c9XrXu6plbKrVq3CNM15K1hPnDgxb6VrxLp166pub1kWK1euXHCbavv8wz/8Q77zne/ws5/9jE2bNi14vOvXr2fr1q3s2bOn5jbJZLLmKtpWsGO9jevB2LTPTE6WrRRIWXDt+UlMQ/DESXfBxiBqaE2j/Aa1VStlFsMIl6gjYCipIh9OzdVv1j5bMNoHhybVcz0pmctL1gwYTGT8Ql7+aGIukEqiU/kFdlpCFMkykQ3IOgEzOXV+5vIq1UZpIxwtvY86N4ZQETYbhk2QcHxGHYQTDtYnQ9lE6YZKo4IkkMkX/10PknAVEvFrz0U1SVsVlSSB6awsFIdHqhSV1YS9Ii2YyspFr7vSiCAlyvIUEpWvD8XoYjeYH83WixFGtTAIzwklqZxRE/t+yft2/OJNUwAcnvLpH3O5ZEOiswes0XSQbvGy58Ojx4MF251Qi0vWNiWsYjthmWqFTD0IYLRP4HqS6dB1QynBw8dcVqQFExnZ1V4G2DRsMp71mMqq+yRDFAcoo4HnRpjMwlA6/n1WVMen0Zo41ch5apVvq7wM89NER16u3AbCVE8ln79Tkapae1l7WXNm0CkvH5v26UuUr4a0DRhOwfPOS/LgEY/HTizcZ15SRNFdUb8d6st0VcvLD405BQ8LUUyFGK2UNSlZxRDndQSYhuDIpNcWL0/nfSYyslBnT5Z6uaT/XI9HAqkyS8VdjbyUXh5OqVU7qrbdwvvUXq5O5OXSN6S9rNEoesnLpV7sNALIhsEyXtBYBspGvWwIlQEhbl808usPduc4Paf6dVJCxpWxvLxuyOSpmyweOOxxbFo1ktXGshfzcr0EMr6XBfPnNJol50HSksw5spilQpavWFUqEQynJFO5hd9n9NlFn5sQxeDdypW3oLxjhxO+krCmbcn+louTYXl6ufumiRcgkUjw9Kc/ndtvv73s8dtvv52rrrqq6nOuvPLKedvfdtttPOMZz8C27QW3Kd2nlJK3ve1t/Mu//As/+tGP2L59+6LHe/r0aQ4dOsT69etjvb92YAjBJRst8l75YJkBJE3Bg0dUK3nl1vKL06oSwZK2VOFwe4mumo0rVG2y9cOmSkFbJ5YAA8nRaVnoNE5k4N8fyRVWIvmyvDHPefEHfqEYwTSZkcw5xWgmVcu0/JijVUaGoc73UEpFelkmPHWTTcJS110mLNKeTijRRZOy1SYWG21wvSB+qiuBOtZWXwfR+S9tY0tvIEwD+hIGhhCM9qnIZ9OY32mMtjUNNcEx2ic4a6VJyhaFTqQpwsZbFAfso/MXnYbKm7Zou1bT6a+TJUAYagJ684hReE+mAdtGjLLP1TJgMGVgG6Jw89sNxdA1ml4mrpd3brLnRdauHih3s2WoQKXEEmVg2TpqsH3EIGFRV+2XiMGU8tx0vtgG7z0d8MhRj32ng673csKCC9db5FyhopaNhaNdo45r3OOuZ6JzKCViR0TXQ6u8HAVHJS04e5XJqn7BQEIUBgwi90SDFQU3ieJrV4subgdL5eWUBc/YUnSsacC159nzvvPayxpNazGEYGfYxmecYrtroAJ6XV+5+ZKNVlkWB1B90xWp4u8CVV5gqbzcZ8HGYeWtwqqZOqjp5TGPvad9/CBKVaiyDBFu48r62mQhYDLbHi8/c1uCwYRRWMFb6aTSPnM9Xob4febIy/1tWFkbx8tCCIZSgr6EOm+NeLmQKpP557EwmL7MvWwbMFwy76S9rNF0hlZ7eTAB/YnyxzqBBNImrB8S2KYKaG6Fl/eNB+w66vHkqdpedoL6XksItcJzoqL/WenIWl42TVn43Gyz6GWgbCx7MS/XSz1j2UlL3SfVm01iMaZysuw9+LIYxATqXKVtgWkYrOxTnq3lZTM8p6v7BSN9LO7l8IULmVKqnMi42T/rodNejt7zcvNydx7VArzrXe/ihhtu4BnPeAZXXnkln/rUpzh48CBvectbAJVG4ciRI3zpS18C4C1veQsf+9jHeNe73sWb3vQm7rzzTj772c+WpR5+xzvewTXXXMMHP/hBXvayl/Htb3+bH/zgB/z85z8vbPPWt76Vf/zHf+Tb3/42g4ODhZW1w8PDpNNpZmdnef/738/LX/5y1q9fz/79+3nPe97DqlWr+K3f+q0OnqFyAin54WN5ciW5HIrL2yVjUx6WKck46mL2Awq5zqMIhOjizvtqJYxZEoXSqagLKWFiTh3D3lPVUzkuhidhxpl/zM3W3akkkCo3vF1Si80KB9uiot5R9IsbRksNpQwCKZnIBEznAg5PqLDTjKvSdHjhYLfjUVhN6getj/KJQ9pW18GAUbsGcTNUm2wW4etmXYmBqkdQdeOQIKCQHuMFF6YwhOC23Vk1WByoGxRQn4UliqtSFqr10K7T3OnMEr6EhKHSTR2aDAqF0A0Be8eDQhsA6vxlXclgSjDab2Ai6A/TaQZSsmvM7ZoC6RpNr1CPl3NeceDNEDCeCV3tqzbRD0AIgSGWJgZSSjg0FTScNWEuPz9lnKT1qePb6eW79jlYJlieem5p5G+tY2k1veBlpOpMmgY8c2ui4GXHr+Hl8GmtvkeLw1J4OWWq933PYU91coUaNPjZk27heoqiu0F93msGDFKWob2s0TRJICX3H3aZzErcikY646padmNTHidn/ULawGig0w9A2OEaCBFljhB4S7AkJzqm4zOSIACngVHOml6uaBgl81cr1HWsgRpkboeX7z/sYlkqUCiIcZzt9LIhDGwzaLqeYCW1vNyfFASBGgxf9DUX8LIhy1fblF7OhfPVwUt8qbycMNX4EYSTQYt4eeMKk60rLPaNe+xYb2MIod2s0TRAq70shMAvmaHs2Dh2+P9We7lmGtcGERAen/JytOLTNtXirLheVvXiRfi5KS/3J1RdWscrZkZs5v6hUQyhVuxmPRhICqZbXCO+cjwkkMUJ1LQNGSdQ53gBocnQy44v+fWL0rG97AYsKMp2lBno9F1udN0kl5mXe25S9pWvfCWnT5/mz//8zxkbG2PHjh3ceuutbN26FYCxsTEOHjxY2H779u3ceuutvPOd7+Tv//7v2bBhAx/96Ed5+ctfXtjmqquu4mtf+xr/83/+T973vvdx9tln8/Wvf53LL7+8sM0nPvEJAJ773OeWHc/nP/95Xvva12KaJg899BBf+tKXmJycZP369Tzvec/j61//OoODg208Iwuza8zF8WVhwDdlCZKWIOMouTmBmpw5PKnu2gsrBktkEX2BA1SO98pOWicIoFAou0p98djEOd6F/JAMI46rTYRG6SJk2PgmDCUhifr/jF9sJ21LnXeJ2l/OlUhURJLnQz4rscKOZPTZ5X1IC8lQWhW1T9m0XCRxyLiqCLsRRuq0MiVTrXMvCVMsCxlrElqirpWcC99+KMv6QYPJjDq/lbLshrqxUTqVwYSqE9nOtGiC4iB3FJUuKdbUjUhZ6m9uIJnISGbzkLYE9x1yOXu1yV37HDxfcnza5/KtCfZP+F0hNY2m26nHy6XfSSlV2xA1uXlP3ZhO5WTLoz3j4Es4OBEU0hA1uo84tMrLKatYL8f1lW+j82mb6rF6vWwISdIUiKSqX+L4Cxxsm9Bebj1L4eXoHAlRrIkT1ceJNkzbYVvhS/aPSwYTAUII7WWNpgl2jbkcm/ZJWsWJPdMQ9CXU9y3rhZkQkOS98vYg70M+ox6QoaOXyssAGa+YHrARF9Xj5ej/1Z4SpWqsJPIyqGNsh5ePTftsGjHYttLi8KSPlPE81UqKXm79tbDQPVHWCeuoxbgPqMfL3UB0Gjvh5eiaK9RllDG8HEgOjvucnvWR0mAuJ+lLCFxfcnwm4NiUx2ifyflru7OunUbTTWgvF2lFfxnU5Gq2YjBdoFYWR8G1ssLLTujlwjj2Al4OAthz0lcTvCWvkfehz1CBWNFY9lJ4OZBqNTHAnCPLJvKbJeo3RrsrzKug7k9mHfVLnJfrFS9LiimVTVHSh21nn1ksPy8LKZcis7qmFtPT0wwPDzM1NcXQ0FDT+5vJBdy1P0/WlSRMwbXnq7z7Y9M+ji+5aluC/qTBnfvzTGQCHK/zEQ/dSNSIVjbUK1KCkbRk30Rxu4SpJFu6XWWjvNhrJS21vH4mJ/HCMCgpisXBDaGiNZO2YDglODyltvOCpWucW1lPuNYNROnjUbqCxRr5aDsofgaGCJ8bdO/1vSKt0rRMZWVbIpkiovpG0Y2hUeNmJEp1FVA85ylLkDRVdKIv1cBKny2wTIEfqHQsV2xLtkxorW4PNZpG0F6uTdS37cTxtcLLgnidL+1l7WXosJfNYuCFENUH1I3w+vNl+cqygYTQXtacUbTLy44Ho/0G6YQahDw+HWBbMNJnsHnY5KExl6wrmc13fjCxHjqxACVhFFfQSua7YSChBiGjx0yhBnPzfnF1R5QCsRVeNoQgaarB+aEUrOy3OHuVyfd35wuf1VLUAu6kl6MVTNFk66LH1oNeTlnqOpjNt2flT4QAhtICS8BMTtZc2VTqZSgOTg8kVE1fCFNK28rTQghWpIX2smbZob28MJ3wctTfKm3TS10wlFRtZ3SaTKEem3GKQVTRKsM457LSy34gSdlqQjFAtY39tihk5ExYqt55lJ0PlsbLraTUvwjKVmsmzGJweOV90kL7q/wMu93LBmo1dMadX16hlSxXL+sQrR5nJhfw4FGHIPz2B1Ly4FGHmZy6QgdTBldsS7JtpcX1F6awTYNLN9tsGTW57vwU64ZVBP2V25Ks6DPakmt8qWnkLUUDv6XPF6h6BoemirVIV6RhIGkwUFGfIOoQLXZcRrjtcFrwrO0JzlttkrAgaYcrJzyVsjiQqkB81pE8cSog40gVSbyENx7tamhFxQP1XJOmUDVkX3xRkqSljtESIGR3iwxgMgvjGblg2stGKD19tgH9CUEqIQopUGp1aKVUaT1sQ61E67PVhGzeLz7H9WHGCQdGUCv37tyfL7Q/Gs2ZykJubsTLSxXZuxgNBvw2/Fr1ejnaLurQxB3Aq+bldEK9hhN6WYahr5NZyZ6T2su1SFnQl4DnnW1rL1eh4GVbFCb0a61wCqTKkmIb6hq1Dei3tZc1mjjE8fLmUZPLtyXYuTHJ0zYn2DxqcuW2JJdtSbJu2OKKbUlStmAwodqxbqUT7Wo0GVvNCaYorkYxhGq3hlOClCUwSidkW+Rl1wfHDQfohGq7nzjp8e+P5gtBqEs18NtJLxcmwBcZ4YsG0nvRyzkPpnLt+zyjcZyBpMASAsdfuIxCqZdB9Ze3jZjkw5VlAer6nAyzm6Vtob2s0YRoL7f+NaLJQbNkghDUuZnJFyf6Ii8bhkGfVe6UOH1ZEe7TMgVXbbM5f43FcBq8QJAI9+f7MJ2XzOQlGU8WxrJdf2m93MrLpPQtGBWPm0bRzXEmKhMmPP+c3vNygJrYj+7n2nXfs1y9rCdle5goeujQuM99h1z8QHLfIZdD4z53lVxQgymDSzaoOiGgIkkv2ZAoiwLoTwpW9hmq5uaSvJv20WijEK0iNIzifkpT6pkGbB6xWDdkghBlBbdrRbFWO7aEBUMpk6QNT5zyyLmqwLoXppOVqEG1nAtTYVToQpNp7SaaSLbqbD0WGsQtfSulHUkpy6NtFhO3L1UqjLwHg0kK9ZH7E907qVFJOJ7QEkyhzufqfsEFa02ee06ClC3Iu4vXHPSl6viuSAvOX2Nz7flJ0glB2goFJ4s3U5kwEl4INShyl+5oas5g4ri5Xi/rnCaKRrxc6p7F2tbCZK8o93LehaxbTNcUeXkiE5ZWQHu5FjlP1cB58JhHn629DOpzqublynpR1cg4qnOZtgUvuDBJX9LQXtZoFqFVXh5MGTz/vCTCEEvW3ncLARRKA1SeiujcRBOv5622WD9sFfwZBVFB/LZ1IS9HpR2yjuov531Vd80Llu7+aam8HMhiqs+F9uN6cN9Rt2e9XJh8aBGRl89fa/LSHSnWDZnMOQFzzuJ95lIvX3t+ksu3JxlOlXu59DrUXtZotJfbhS8r0uiK4uPR75Ve9lATghFxPCABYai28/GTPkenPGZy4HiyMJbtSTXBWzmWvVSY4WS10UIvl2KIci9l3GLbH+dtOz7cc9ilPyEKQWtpu3e8DFWCxprAMtT7H+0XvHRHctl6WU/K9jD7xj2cMCf8sWmfHz2e49i0ugt3PPX3iMVW1O4aczk+HWD00je+zUhgywhlLajKsS9U5IoBmbzENFRtr6ijGcjq0UWVDUe0vRPWvvmne3OFfOjdfD8RdcIXik6pRhwBG0LVNKiknvMxkYUHjjpMZcPPA5h2lvYGYCkRwFDKAAQPjbl4vpq0XgzLUFHUri9wA8kTJ1R7I4SgzxbF6z1QdWdn8wEyUOkfKtsfjeZMIq6btZfrpxEvR6le/RhRprLk/5Vernx+Nyml270866o0Q5PaywUqvRw3TdhAUiCEIGEK7tzvkg/TLmkvazS1aZWXAR455pF1O3v83Urk1+Fk+aChRK08gOa9XLrPEzM+/999uUKKvMr+dtQGVj62FCyVl6udg1rHN5VFe7mEVQMm56+xefyEx3TWw/HjlWeIvJw0BU+c9LjvkIPrl3s5CubTXtZoFK0cy9Zeno+FWvxTOimYssK/lXjZFBLfV8FM0XZxPRBNAO8+4XFyTqqViHJ+f7lbtFJY3FSnl+OWA0jb89+rV+ebn8zBdE4WJtZn3d7zcqsOV0oViPGs7Qn2nPSXrZetVu7MdV3GxsbYsmVLK3erqcGO9TauR5m8ItYNmexYr+7WS/Pxux7s3GTzywMOhyd9jk37XLktydYRkydOevi9ntQ9pFVFu588Xf67BHKeKgqeNOHAhDr3os4x89KoYj+AmXxvnfdWHa0ByJLUGoFUxeebqb+TMNXEod/DS8tadeTRgMC+cV+tLhPxbkKSFgynjMK2+06r67zPFmolsi8LUVBRIAKoWrN9Nqwftgrtj0ZzphHHzdrLjVOPlxt9uUovS7o/i0g3e9kQYBqiUAOwF2nlYXvBfC/H+ZoPJNREh+NB1pU4vqpLnba0lzWahWiVl/uTgpwrCeTiUfq9QKu8PJGb/5jjt97LU7nyZ5vG/NUO3US7vdzM5ydQA/R5v4UH2mFaedi+hCdPeRya9AsBzHHGd0q9DMU+c9pS/jVEcdWaRE3Say9rNI2PZZ+9yuSu/Q5eAMenfZ65NbGsvBwnzW0cHIlaAltC3meelxdLd78Q1bxMmHK3Wz+LRoZVqj2l8nNqhZdBfTY93F1u6XEHqP7u9x7NYwjCBUKLP6/XvBz7K/jlL3+Z8847j3Q6zWWXXca//uu/ztvm3nvvZfv27S09QE1tDCHYuckmUTG1bhpgmsWvw97THpNZiS8lx6Z9bt+dY/9pD8eXTGYke095PHHSx/FkITVfr9OuaBIB2KYaXJwLo1YC6o+CNY3mBLgcEBTz7CdMCnUTm61r7EuYywdd20HvFH0JVQNWoqQT1VzyY0h+IKnSPKwbMgu/DyTV3yxTkLQMbFMUU3SEO3QDlS7MNCVzPRZooNG0impu9qWaQLlko4UhRN1e7uYaOXHpdi8vdoolyz+9TDu9bNDe2qy9gBXe+wnq87JAfQ4J2+C55yo3J63iwIr2skazMHH6zPvGPfKeGpg5MuVV9fJ9h1z2nfZwveXhg2738mIES5ieuFMs5OVmEqlIwDJ7Ky1iO4i8bKACplxP4vjxyjMAJGxR8DIU+8xZD0AwlDJIltRrNNBe1migsbHsI1Me33s0x+lMQMZRwRN37nOWlZfb2SIkrepedhZJeV8PMsZYY68jUO6wjNZ6GVQt1HoXfC03TEOlGY6+z36gJmTb5WVk0cuXbLTYNeZ2NIVxrHbrxz/+Ma9+9avp6+vjVa96FVNTU7zsZS/jT//0T9t9fJoFCKTk/sNuWVSRLyUTmYDHj3vce9DBDySuJ5FS3fS5vmQ8ExQu5kBKHjnmsv+0q+quLM1b6RnSNiRMgRASPygOrNXbIfQlyB4rIdJKN0Sd9ei0RatFLEM1iM1ch16gitj3WpqHVpK24aU7Upy1yiJpFuUe9yZhLi959LjHpZttNo+aPPusJM8+K8XmUZMrtydIWtCXUJ9htM8g/D44nuTx4x537svpOjmaM5JKN/uhfzOu5LbdeVw/qNvL7hncni1Gq7wcZzVst7VoveJlgJkzPC1iwoRV/YJzV1skrfq8LFHbyaDo5m0rLZ57TpJtqyztZY1mEeL0mS9ca6maUr5kNl/dywfHXTxfuaDVtaaXE63y8mJE9dyXMwt5uVmnTuVaOxjfa5R6OWEJRvuESnkY8/lC1O4zb1tpsqJP7SkVpvIWqAFl7WWNpv6x7Nm8+okyubm+ZDIbkHEC7eUY9NmQtg2SVngOo/ubBvp4Z/o51l5uH4ZQWTx+66kpVvYbDCbDgOaYF11cL/cnhcqwSfkiptt25zl42utobdlY6Yv/8i//khe/+MV8+9vfxjAMfN/nz/7sz/jLv/xLZmZm+PjHP97u49RUYdeYW0j3ACpn/GQ2FFKYGm0im8PxVNrR6bxk1lGtRNQxip7d6sjV5Ypa1SALNQsaiQQqdEzr2b7O12gHpcfQTBrDCD9QQksnBDNh2gsvzCHQDe+3l3E8ePCoG0YfCrasMPnlQYeTs7Xvuko/U9MQbB9VK/ou2ZAobBP9+4ptSe7cnyfjqJ5laZSRj7oZmcqpVQelz9dozgQq3ewHxe/WZDbgu7tyJE0R28vd4oBupRVeht48z9rL5YgwZVY33tL6ATi+wADOX2uzdWRxL0dEEdlJe76b1w2rbbSXNZraxOszhzWlKNY6jfpsBS875fvthXZxKVgqL/eixxdjIS/3QnWLXvHyeWsszlppkbLhOw/lyDi1U6FG15kABlNG1T7zZVuSzOQC7tyfZzIjMYySoATtZY2mrrHspKlqP5Z6OWJWezkWng/DQ7CvtAxQgxOyvTaOXUorjqnXvQytGTdoB1KqoL6Hx3x+7YIkjxzz2Dxs8KM9Tku97LhgGAIR3vcDZBxJgAyDCjvn5lgrZR966CHe8pa3YBhqc9M0+T//5//wqU99ik996lO86U1vautBaqqzfdQqpHtYN2Ty/PNSbF9pYhvq5jJphsu8pVqhE9HLOcqXmhmHsiLy9UToRl/20tU4goUjjQSqY9tt0UhNN+Bhq2kKyLmyEJ0SxKyr1i102+cSEUiVO/9Hj+fZNmLy5CmfqWztL75ZciEaAi7daDOYqq2HwZTBlduSrOgzsA0VZbQiJbDMcB/ApmFT18nRnJFUuvklO1KsSKvvk4FKRVyPl3uoSVwSmvFyaStX+pzF2vaEqe6xugnt5e5OmRVIVRdn37iP4waLelmU/JgGbFphcsW2ZE03ay9rNLWJ02fOu8rLpenEu7U96Xaa8XIppc8xxcIDV7ZgXhrM5UAgVUmamZwsOk6qCb1u7YeW0gtePjYTcHzGR0rJg0e8mvfk0fUXjeVsXqFW4GgvazT1U89Y9pyrvdwsTgD7Thd7i5LG+o6FFaKogNGFPGTSfAmcVtOK66fXvQzdOSEbkfNgbLo4lr33dNByLydtQdoWjPQZrEgpPwfh/pJmeV3rdhPr1jWTydDf3z/v8Te+8Y2Ypsmb3vQmfN/Xk7MdZjBlcMW2JPvGPXastzGE4GmbE9iGy9FpjyBQTULWU9EcQynBdE52fHCtGyNkWkkj7882w8jrRVagSFTUTa807rEJI0TdQA02RivEovPQK9dM1x5jOOkzkZHc9liOhClIWJBzq28e3UBYhsq5PxsjV+pgyuCS9TYPHnWRUuIFgrQl8RwYTMEztyUwzvSCCJozkmpuvv6CJN/dlcMSaiV6xpVL6mWDMFVLZ1+2Y8R1SGmHJKoFs5iXQaUVWnatm/ZyWzEM8AOJF8D+CZ+kFSzo5ahzaYZeHkgZCwZLgfayRlOLOH3mjCtV+xdGQ3gdHLGK7sGXcymhRhwihBrUDaJ/CzWwXA1XAl71v/UyAgqrQ6LUt9EqscKqsSU7unh08/FZBszkA1Ie/ODxPJah0qpWo/TSS1ow0h/Py1duS/LocZdDE+oC7bMFWVciDLhwvaW9rDkjqWcsG4qO7CRW2C/s5jasHkoXCUW/N+plKYr9xVope73SF1tmRPXAJSBL7t16xcvdiqQzXr5iW5LHjrtYBpyY9QHl5QCwLdi5ye6Ym2OtlN22bRsPPPBA1b+97nWv49Of/jRf+tKXePvb397Sg9MszmDK4JIN5YMsXkBBYlBczZFx4OxVJvZyqIDeQSq/ilFDG+WPlyye47x0Ob0lYEXaoD+hIjIq64lVqy/WzY36irSou6B59H4cX0VSV0a+dPP7bReLrZquBylVhJHjgeOq+lhzeYll1I5WMw2wTcHqgXhRQTO5gAfHXCazkqmcmgTOhmllZnLwy/1OTXlqNMudUjcHYeR90hSYYWO51F7u9QnZVnk5wgBW9gntZWp7+UyklV5WaRLVeXU97WWNptMs1mdOmsWApcEkHfWypJgyuVdph5dXhTU+k5YgZfZ2uSWrjppoleS84vVxpveZW9pfBmbyEtdX51hIyUxO4vkqI0otN1th9oq4q2gCKTk04ZPzKGTJkah0rD98LM9U9gwuIKg5o4k7lh1lD6y3b9MsvT4hW83LllGfl0sp9XLCFNiid7IpVSMKiKsXCeT9sERVlWukh09JQ7TSy9CYl1OWak+2jcRPZTaeDXj8pM9ktuhlL4DJjOxonznWJXjNNdfwj//4jzX//rrXvY7PfOYz3HfffS07ME1jVMvNbxpqoFEgGZ8L6OtwyYpeb5SqHb+kuIqksq5BrX1Yhore2L7K4roLUmxcYSGEUMvkS1LH9pLYbFOt8hhuYAB4MVrduHc7QjTeWa+FRA3qpixRuOEYSApSVvm5jQZNPF8yk/MLkV8LsW/cYyorcQO1smAmr1b+gYpYOjzls2usxhIgjeYMQnu59bTKywLV7m5fZXL9hWnt5Rp0g4uX4hiia6TVaC9rNEtPpZvTiTAwx1ABU50e/O3h+UagvV7uswVOEPaVwm27wUtxsU313pJm/X29xa6LpTwPy8nLfrjaK7ofT1uwbaVJ5fBu9Nqz+SCWlwHuPuCQ89S2bgCzjiwEGOQ8yd0HnAWerdGcOdTqM/fZ6vtpic62Oz3U/atKteN3g/q8DMvTy6DcbBmqX9YItU6d9nJrqObl89ZYjKbLtzOFaid8X/l0Jrf4HXU39ZljXX6vf/3rueaaazh16lTNbV772tfy1a9+lVe/+tUtOzhN/VTm5r9sawIzjIYxTUHek8w5nf+yGm2YcFpqZMnPYphCNfhDKYPLttqYhuCc1SYDScFQUp2fZJXVOd1OEEQDhpJEjKAUI/yJIz4RpsQQQGKRegWtZik+hkC2Z+BfCJjOSZKWoC8pcAO1grYUCbi+EtBkVrL39OIC2rHeZtMKsyAR0xAMplTNHNuA4ZRqjzSaM51qNXNG+wzyvkpp6viS3BKk3DvTvQyqs5+y1CocIdBerkF0Tg1RDJgatGN2InqcdkyUaC9rNEtPtT5zwhJLumq113wTh2a9fOlmmzVDBusGjcJKqWilT70s1ekNAhBSrayJW1+v1MuLPaXMy8vwGqqkHV6WUmWzMIRgMCVIJQyOTvrzXitqH+J6GeCKrQlSYVtjG4KBpPIyqNU9V2ztcGSmRtOl1BrLzvsUZn466eblukikHV5Oxl+gWMZSnd9oQrqekkSl71N7uZx2BRYGErxA0JeAVMLg5IzHVG7+NhlHknEleVeyb3zxgbVu6jPHepWnPe1pPO1pT1t0u1e84hW84hWvaPqgNI1Tmpt/64jJLw84eAFYpuBpmyx+utcp5OJv9+oPQUludQn9NmQ8SNkqArnXidrWOKcwkGqVrB/Aw2Mes/mAY9MBllkUQb7HMtcIivUDhIzXyRTA1pUGBycWb7ajwvE+tesH1YMgqum2+LadHogp/a6U/rsVRJM90znJSBpm3erSjFJixb39NITgmVsTTGUDZvKStC0QwEifYPWgydkr7UXz+Ws0ZwKVNXPm8pKZsFFb3W9yas4n36FJ2VpeTtuCOafX44Hr8zKogJ+EJTg2HfC9R7MEgbqpj6J+Hb+3oqTb7WUI011J5ZJmz40lVE2ibvRyKdrLGs3yo1afuS8pyDmSzBIsKg+kSpvsBdCXODO9DGrQ89h0wA8ey3HOSouD4z55TyIIUwU2eFqW4mxGn2f02oYRzynDaZjJqyCehd6vRE3gCgFzNVxSD6p2W7wxot6/OotEaQuncpItIwanZoNCLUuouH8mqm0Zb6R9KG1y7Xkpfrwnj20qL/clBK4Pzzs3yVC6wdkMjWaZ0W1eLm3jBCqzTcaRNWuodjumKK//Wk//ppaXo4DdRseylyoALpDFkghWXC+nAARuTi7oSIlahev5Leovn6FeDmTUZ5akLJjKBoU+dOm9ZfSe8z4MpUSs0gLd1GfWPfNlSJSb/8CEj+OFg3QBPHzcI2UVIzVk2PFrVwSQrPj3rBtFMbThxZaAqLGNc+4kqmMFAQdOe+w75ZNxJLN5Sd7rzRo5lZ9vHBH7wL7TQSEwYMH9h6JslViiyNZGaGdwU5Q2I6JdIpXAZLb8RswQxfocBurfA0lwPVnIoR9IyYNH56eBCKTk/sMufgB9ocRArfbxfUF/8gwICdNoYlJaM2ffuIfrqe/NTF6tliuNoDTovJeXw8Av1OdlUAOYrh8wkw+YykgmMsrJWbe1/ukUnfByVDunFefGk415OaqF1C4E5fvXXtZolifV+sxCCtJ257xcSeSe5eDl6JxFE5FxcHyV3nU6FzCTDbhzv0PGkXhBb3q58pjjBntNZsPJ3DoGYVsxnOAFjQXtt/v7ISBW9o9WcHAiIFsx+WObxdqWAhhMilhejv725CmfhFn0sno/gidP+brWu0ZTQhwvCyBlds7LEI3n9u6ELKj+Run5aomXfWL1IbuJSsfV4+XJ7MITsoXXCFoX1Ku9rCZnSzPLCaEW+5V62RQw2l8cWF/My93SZ9Y5rJYxO9bbuB6FvPyOBwnTwExKTEOwuh8mcxLHC+vbpWD/6R5rUZeQaBVNXAIJUznwpSx2ns7A0x3XJ6UruReLEm4XAhURlXHr+6zrwW1gv40KvvJyCyQMJsKVyFIdy2xe4gc+tz2a44rtCZ486XNs2uf4tM8V25KFiKFqNT+i9IvHpn12jcElG3Q6Jo2mkko3g0qXm/MkfbYa+HF9ob3cAPV6WUqYDUs6RJON3TRt1eoVmrWI+xrR8UiKK2Y7rWZTwNmrDPaPB23zsqT+e45We9mTAlOokiMzOUkgA+496GCbKkp/PBNoL2s0LaIeLw+mBEcm/Z7LcLQUSFQfrq7gG6kCdgSQDVfFGhWre5aSbvRydA8TTVi0MxNaNWwThpLqfqpdmV8k9ffFDRqfqK48hZ6vAqSiIO+ZnCTAh0W8DNrNGk0jLOTlwaTgqu0J7j7gMJVVAc4gmcwttEcNFPu6kjraxwW83A1q7kYvl/aRO3V8pRgCRtIwF3q5Ha/fkJdFi+5RJOTdci/7Aew77SGQJEyjZ7ysV8ouYwwh2LnJLuTlj0gnBL9+UYpnbk9z5fYUW1ZaXHdhkn7bbDgX/JlII22JFxSjrVVB6vgDwAKVarHPhpE+lW5yRbKBg+gRPKlSG1rG0jVUCVPdbLRr4LdRWinVjFuspxCgIpCmc5LTmYDvPZLjyKSyk+NRlp+/Wp3MdUOqAUlYum6dRlOLam42DcFIn8ELL+7jqrPS2ssNUm/bKCl2DAyhanuZdTqnnV7uuknikvp2zXYwG31fK/tgbLp9E7KN0kovZz3oT6g0bdGK57l8wN7THo8cc9k/7uEHUntZo2kRcb38gotSXHVWkv5EN7XM3U29g2+lg5gCSNmCoZSIXYsVVB97ZRr6Eqp80Ipk61zadV4ODyaqtdvMYGej72skBX4g8JaxlwNUnzmQamzAkzCdlTy5iJdBu1mjaYSFvHz9hWmG+yyu3J7i/HU2L9qRwjSMrmqbu5lG+svQnJeTFvRZkLbUv0dS8Wusxzm+bvrsIy9L1Htckv5yWnm52xIxtOJzEignB6hJZygGCOQ9ePyE31Ne1pOyy5hoSbZTEbHoeHD/YZdAykJ6iEeOeRyb9ulP1Ne4auonoCijelaZiHASV0VnQsqS5PzWyazbkAEYZnPR0QMJdc7sBls6N4jSTncfpmhNughVPL38MT9cCuXLYvrLdUNmWX7+qObH5lGTSzfbmIbg0s02m0fNeZFIGo2myGJu7k8K7eUOE6CcvHVUNar1ZHRopZctA84xZ3hqcIyd/hhPT01ygT3Ns8wxfi23m2uO38Mz555gyFqa1dN+oO5FLKM5L1sGrB4odlrrYc5d/l6WYWaV0o6046tsFlEnNO9rL2s0rSKulw0h2DWm8ppqL7cXGaame/HFCRwvXrpAKK4Wncypz6/Phpzf2pT3SzHGWevwoywfltlY9iUoenn9kCDVwDhk1lWpLbtlNXNENFDfiu+qCMsKlK76jgaAA1nby6DdrNE0Qr1j2VLKtpY20TTuZYHKNpD31fhqn60CUFs5k9pN+om83Myq0Ga9nPOUl/MxUzN3iug+oZXfVS8ov5R82Vte1mFZy5jFlmTfe1CSsFUh5DX9BntOuASBKo48mZVd9eVdThioxiEIewr1nGc/TDErUQN23ZTOqVGi1TaVq24kKiVBo0PPpgG+FKxICSazje2l0+mf6sGvK+dIbaI0jaU1B6LVY5YBUkoSlopUBHjwqMP2UYvBlFG4EY4whNDplzSaRVjIzUemPE5nfH7t/JT2cgcxUG3eE6f8QkcqLq3w8grbZ2dmPxtO7sPavw9sW/08/jj80z+B48CqVfD854Npsl1YnHruC/nFxmeS81s/AiFCIVd7G1KC2+CFGHl5OKXqKRtI6h1DjiJiu5FWedmX4EeTCOG5jrwsUI8Pp9Be1mhaRFwvz+UleSfA8aUKTumylYHLCgkm8G8PO+TqSL0nw05lEAaYLpf+MgLEAvcnQYP1dk1R9HLeA8Oofy8zXezl0owoTe0nzCpVWhM22m3UZzaF5JKNFoYQBFKya8zVbtZoGiTuWPa2ERPHldimLPRfNG2iUS9T0haXenmZVGiqddk1U+bHC2A4ZSxLL4M6N1Fge93PpVieoLROcq96WU/KLmO2j1ocn1YF0tcNmezcZHP/YSU3w4CTcz5BIJjLS2ZyPl6Yh9t3ygd+tdtaS2mnUMj4ETQjadXcnM5IBKqR6USaoERYJ8aQAdnAZCbf+qvBEOo6q+wwN+PptC1YP2hyctYnbQtMQzKT7+6J1npp5QBD5a4k6voKDJjISO495CCA4zPV8/KXMpML2DfusWO9XVWAGs2ZTC03H5nyyDjq7v3u/U6ZlwNXe7md+BKkp5xTT2repAV9tijzcr2di2uC/Wx57CGMH/8YvvxlyGSKf7zgAvjd34X//E/46U/h4YfBskj+7u+y8Vtf5rprjnP7U15KrtX3AjJcFULFPQvNXXelXjYN2DZicHgqWFa1GVvp5cr7lSiICmAyi/ayRtMi6vFyFCBVmWVG01okalBRIuvKqmCZ0G+rlbKNenkhBm3JNucEwxMnELkMgZ1kbnQtB9NrGHfaU28iaqGjexQod7EQavVRI5gGbBpWXvYkXHtegl/sdRnPLJ+7zFa+E1nx/+jfXhhwf9vuPNdfkOTBIyrbzUJu1l7WaGoTZyzb9WHPCZekKQhQ3yFN+2jYy4Za+Vnq5VZhh5kVXb/z47xRoKyEecHMUYrdRjAE9CcEfiCXtZebuTcrfWrVCXF6x8t1TcqePHmSf/iHf+BnP/sZR48eBWDDhg0873nP4/d///dZuXJlWw5S0xjRkuzSi+rSzTa7xiDvSU5Mq0v58KSP50uVEi2AigwReuC3hZR2pAQw2mewcgCePBksOJCXNGHNoMm5a0x+8aTDnCNJmjAb0JYPKG3BU6afZNXu++h/9EFSd/0c4Tg4288he8WzmTr/KTyx6Skc9vuafi0higO9pqgd7RJrX0R1DuD55yUQCH74uI8XSNYMmmQcf1lNynYCKcENJHtOeCBgKClwPMHe0y5CiHmCmskF3LU/j+OB61F2A73YoLFGcyZQy82nM2q5pWmIci9L8CrErJux1lHqZQMVid1nq9phucoboornbRgyuXiDVfByny3Ie5I5d/HXHUgKrp96gP5d9yHe/344ebL4x/POg+uuUzdl2Sy85CWwcyf87d+qi+Ef/xGe8QxGhoe5YvVGfrL66Y2+/ervrZaXG5iVrellX4JhsCINJ2b1NV0PasWO9rJG0yoa8bIe+20vpZmUBhJqEjwIWDCIRwBbVjTu5YXYas7y9CfuoO/b/x/G978Pg4OQSsGpUzA3x1Oe/3y8V/wuhy+6nLvMzQ2nEq5GAFgizGwU+rk0q4cMVy/V+5KWAddfmMAURsHLu48HXHtekn++P1d3H/xM/UpE711KmMwGfPuhLFIK0hY13ay9rNEsTJyx7LwncXxwPDV5pb3cXhr18nPPtjkxJ2HcI+epgGbXl4VMU6X7XgxDwDlMsnH/gwwcOUBy/xOIfA5v3QYyG7cyddZF7Bo5l1m3/bmsB5Iqg1PUR46uP4PqmSDjIIDtowYXb7D50eOO9nIT9IqXY0/K/vCHP+TlL38509PTmKbJqlWrkFLy2GOP8YMf/IC/+Zu/4Zvf/CbXXHNNyw9S03rOW21h4HNsWq0izEgIfJ0asZ2UDnAmLTWYe8VZSWZzARNzeaZy6qaiGumE4PiMz6FJn8u32jxyzAsjtRf+xAatgIsmn2TwyD7Sp8Yw8zn8VB+Z1euZ2ngWDw+dRc6DC5OzbLVmSfkOlpPF+pdvYX/kw5DLle0vcf/9JL75zwwDG571bI7d9Bfcue5pZJtInxil44NixEuj12GUGiPvwZ7jHgnLwPVULv29p+vrqkYDyWdqILygZGBeqs/JADKuZPtKE9eH41UEtW/cK0st86PH/cLvUZF1na5JcyZTKwLv8q0Jnjg538tazO2j1MspGy7dmGDWlWxdYXDnfpeUFzCZq/7cwSRMZAN+9LhT8LLjqSCWhThPnmbbE/ey+uR+zJkZ+PSnixOy73oXXHQRnD4NBw/Cnj3wwx+qRviKK+C974UVK+Cxx2B6GhyHtQd3k17/dFWbJ8Z7jUNNLzdwLS7k5SdP+XUdlyHUwLRzhoo58rIMB558tJc1mnaydtAkk5eMZwLt5SXANuGZm23mPApedtrg5YUQAl46fR9D//YviNFReM5zVODUQw+poKmrr4aLL0bMzGD/97ew/aKL2PqOGzm0+SLuHLqgkPK22hHU47+oZpqU8/umkvonZEENpj95widhyWJ/+ZTHvtNe7OMyhfo5U70MYIQj8AFgSOVViURKarpZe1mjaZxoLHts2lcLCLSXO0a9Xt68QnBkWrJ/3Kc/YTBoSYJA4AblI9lxPr5NzPDUh37EyF/+L4wnn5z390FgrW1z9mtew4n/9hZ+3H9BzawmrfDyTD5cKVvi5WbHjyUqS+H+UypQKufBk6c89p6K72UDFXTVC15u18RxVEu+F7wspFw8nuTkyZNceOGF9Pf385GPfIQXvehF9PWpFXKZTIZ//dd/5Y//+I/J5XI8+uijesVsE0xPTzM8PMzU1BRDQ0NN7at0pr8y5UPCgsu2JvjVAQfHAy+QTOdkwxEdmiLRqpIIVZez+FjKgmvOTrJu2Cp8RjlHiazWeReo9EJSLSxR6Qx8WTNXfNKCK048wNqvf57Ul78wf5kVwI4dBJ/9LGJqSr3G8DBMTsLb3qYGgmO9WZOpD3+Un1/9SsaDVOHhbrh+DGBVP5yca+x4bJOWRjm3g3Z3hC2jeB6iGk0GsHLAwC25pDaPmgVBBVJy36HyGiAR64ZUIXUjZr6TVraHGk2jdIOXbUMNyHVD29qLVHo5ulFvtZeDAKZrpPhPGZJnnbiXte+9EWvVSrjmGrAseN/74L/9N3jKU+Cf/xnuuqv4pKc+FV71Khgehl27VAHD/n617d/+LaTT8F//KxOXPZsfmGeRdedn5Oima0YAI2mYyDZ2XAmTmsFr3UK7vWyK4mcLaC9rzkhafR0u5GbbBF+qQUTt5fZR2V82BDz/nAQbRuy2ebkUQ8BZTLJy6jhCBmT6R9idXMdLT95J+ic/QFgWPPmk8nS1fvX27fCBD8D+/fDRj8Lb387MqnX859NezFFjGLq4ft5ok172/O4PYi7N+tGO7+xAgkLWuSiV9EJu1l7WLDc66eXSPnPG0ePY7aIVXjZEceJSopyRsgUzOVlXyZen5Q5w7kfeS/I734r3hMFBgr/9Ww5c8mx+7m+Yd3xmuAKnW72cCmsoN3J4veLlhBmW6WpTTEWveDnWpOxf//Vf88EPfpCHHnqITZs2Vd3m4MGDPPWpT+Wmm27iT/7kT2IdqGY+rZTZg0cdDo1XL44eSWvOCVQdEl/XxukUlgEXr7d46sYkDx51OHjaYzovFz3/UUczkMWByWqBv2tFhivu+AbDf/IOcKrM2iYSqjbd2BgMDKjUS9PTqvf6utfB8eN1v6epm/+e2695NflAtKyemr6pUphCfe7VBqJXpJRoZsPItFZ/hRMmDCSUeDKuLMjMNgR9CYGguqD8QPKjx3OF9gZU+/P881KYRvxV1bqTqekGtJeXP+32ctqUXLvr3xh9w39VE6uf/SzceitMTKhVNp/5DBw5UvuFRkfh7W+H//t/YWoKhobgTW9SK2q/8AVYtQr/pvdwbOdV3L/ifE57duH4DNG6OqeVk9tnKkvpZctQ9RJNQ2gva85YWn0d1nKzRDnZD4pBitrLnUEIWN1vcP2FKXaNuS33cik7cwfZfP/PGL7lgxi+Dy97GSQSyO3bwbYRjzwCd99dHjRVDdNUnh4ZgW9+E84/n+zJCf7zjf+T/WJF3Wka46C9rEgYkE7AVJXVWpahBrijwDWvxefLFDCcEgghkFLGdrP2smY50SkvgwqUyodfZO3lztGMlyPxJcywNFMdQW1PzR/ioj96Dfavfln3Acub/y/5S3byL0PPKDvO0iDmksPTtJDFvNxvgysFnl87Y2ijCGAoCZZpdL2XYyVEvu2223j9619fc0IWYMuWLbzuda/je9/7XuwD1bSXHett1g2ZgLq4JrOSwhy8DBjPBOQ8dYOq62x2BkFU2Fx9oXestxFCxI7QSZmQttVNv20UV/tErDRyXPWv/8Dwjf+9+oTsli3wox/BgQNqMtb3VS0c24aPfKShCVmA4f/xdq44dm/TnUJR+v82lAEwmH/Ool9N0ZaXbBpf1l6xO5WDrKOuKSHmv7emkSCEut5WpEVBGG4gybqShKVy7ZcO/AZScv9ht0xkoG6i7z/sEuhiH5ozGO3l7qOVXk6YqgNSuf9rDvyc0de/Sjn3ne9Uq2gMA669Fm6+eeEJWYDxcfirv4IPfxje8Q54zWvUvmZm4PWvh1OnMP/oXWz82me5/vN/xhXZvUCY0rCFXrbM5vZVDdtQA+jVXld7eT4GqoOpvazRtI5abs44AXlPDR4utZe7sS1sFwJImuq87xpzW+7lUp6d3cOOb3+WkT27MN79bnje8+CTn4SPfATxjncgDh1Srl1sQhaUl//H/1DBzkEAGzaQHjvEzn//An1m8eBbdRkZQnmm1SzkrW71shvAdI30mV4AGbeYacJqcUk4QxTbhrhu1l7WaBamlpd9KZnJSbKu8vJSrnTsxrawXTTjZYnqv6RtMAyBacBwMt7rrjTznPvlv6t/QhZASsRN7ya1Zze/c/qOMl9G5XVKf28F7fLyQrvsVS/POOD7kmQbxhckkAv76t3u5Vi3JI8++ijPfvazF93u6quv5tFHH236oDStwRBCXWSGZM6ROL6KEJAyYDpf3vAsVSezlY1HNzZElRgCLEOwfVS1PLO5gKwblKeiq4EE8gE8/7wE562xGKooMm0IeOZjP2Hwz99XfQcjIyrl0oEDaoUsQCajrLFvn6pb1yi+z7q/ei8brUzj+6A4MCtRKS7sFn6oAuhLCvrs8scSpuqcWQb0JVTnvduupVrXh0TJzgnUIHGrI6XdADw/YO2gwUifWYgOMlApsqsJatdYecqHREnl8mPTPrvG3NYepEbTQ9TysiEkc253eLmVtDxQpA1IVAexFV4+a6WlaouVcGn+IKvf/kY1QNvfr7JVPPAAXHwxfP7zarA3Dvm8qik7NQV/93dqYjeXU/v5tV9T23z609jpJOf8wX/hWZnH6zgLtSn1ct5rvZeTtmAgjFaNsE117QymVK1fqwuvI+1ljWb5UM3Nc66cF3yxlF5eBrcEdaHSHEq2j1rzvLyQEuJ4OeLpcoztP/4Wxhe/oFISf/jD8MUvghu2ic97nuqQfu1r8Q88n4dHH4Vzz4Xvfx9e/3oG//f/4oqj/xl/H4sQnQMpW79CLMqwkbZF2T1cwlQD6glTOcQ2uqu/XDnAXkkgi15ux6o6y1SvHtfN2ssazcLU8vJsvjzt7VK6UXs5npej564fNjl3tclZKy3yfjyHPG3/L+n71McbP+hcDr7xDexHH+a35u5rfD8xKKRpbsOFYRrVvdyfUP1l0+huL1c7rkBC3qdmScZmGQjLv3a7l2NNyk5OTrJmzZpFt1uzZg2Tk5PNHpOmRUQz/bN5dcEHgRpQG892T4qHVrZXvSBFX6rIjMdPeviB5GdP5smE3+04x+/5cMdeh22jJgOp8sG+p+YPsfrGt9R+8u23qzo3hqF+ZmbURWHbamC4Saxf/JzzDu1q+PmC+YMdbgs/VAmsTKli6aWvmQ9Tnjg+uL4agOmmaykq1L4URAMbtiU4MROEk9aCkT4DM4woqhTU9lGrILB1QybPPy9ViHJMWOrvGs2ZSi0vn5qT5KuUKOt1emViOe+1xsuWSdnnaArYdNdtGNFK2Je/XKUuBkgm4Ykn6jvQkydh5Ur17yCAf/s3+D//R9WkjUadP/tZjGdextZ3vI4L/RP17b+CTng5YUjm8sVaUIkoRaiEyazq2HZTBxO0lzWa5Ubk5pmcSsMXuVmnhV0aJKpfNpA06EuIhr38lA02Z682y/p+pZz38H8gPvABVd/ddeGqq+AP/gDe+lZVI3bjRjWgm4kRdHzppcXnBoEqL7BiBXzpS/Dxj7Pq/32KEat1N3qLTUI2s1/LBEvIgv9Noc5p1oWspxwd1QfsFkzU/YNYghVDbgCup+rSxXWz9rJGszC1vNwt49hnGs16WUo4NOEjhOCcNVahRMRCjFgeo//0pSaPHLj9doTn0X9wL9v72jQDSPtqo0ZUetkPYM5R/WU/qC8ldKdImOHCtCXozHt+b3g51pBCPp/Htu1Ft7MsC6daytQW8/GPf5zt27eTSqV4+tOfzn/8x38suP1Pf/pTnv70p5NKpTjrrLP45Cc/OW+bb3zjG1x00UUkk0kuuugivvnNb9b9ulJK3v/+97NhwwbS6TTPfe5zefjhh5t7s00QzfQnTFloILrtS3om4viw77THtx7MMpGt7xORwERW8m8P59h3unhHIoAND9+tUhFXY+dO6OtTUcCrVqmVNuk0ZLPq33ff3fD7KWVoT+OTspLqA/itbL8PTBWLfEN5rbfoRqPbviMSdRMqCdNhdPj1fV9FYOV9SSAlZ620uO6C2oIaTBlcsS3J5lGVn980BJduttk8anLFtiSDqSUaydZouoBaXu62dqdV9Mr7CoLmvXzrwzl2HfXK3vO5cpzhWz5UfGD1auXp886DX/2qsYP9j/+AZz2r+PvEhFpB+9a3qt/Hx2F0FOvBB9i6p7mVObW83ErGs8X6bpGHS8l5rZ0IbgXayxrN8mLXmMuRKa8QmNllTc4ZiZRwZCrgtt05JjLFTyROWsBifznDrQ/nq25zSWIS629vUb+8/vWwYYMKdPr4x+Ef/kFN0L7oRaqvvBBXXgl/9EcqI9XHPw5///fw1a+qCdnVq+EpT4GjR0meOs4F43UGYi3w/tpJ1oVZp/g6vizvMwey9XVZmyVADcBGNQs77eWMC6v6BY4vMcLVSgu5WXtZo1kY7eXuo1kvq3Fwl+8/miNOCdGzZw+T/OevN3y8ZUxNIfbt41njD7Vmfx0mSvdb6uXKFePd9h2xDTVZLMN7hqXw8pp+g22jZqw+81J5OfZeH3vsMe69994Ff3bv3t2Wgyzl61//OjfeeCPvfe97ue+++7j66qt54QtfyMGDB6tuv2/fPl70ohdx9dVXc9999/Ge97yHt7/97XzjG98obHPnnXfyyle+khtuuIEHHniAG264gd/93d/l7pKJqjiv+6EPfYibb76Zj33sY/zqV79i3bp1XHfddczETU3XYqKZfscXXbfK4EzGDOuOqFTS8Z5TKrqoMHopq5I+K77yudo7+PKX4eBB1SK6LszOqglax1m8s1kHfXf+B4PJ1l5trZZLr30XJMWO8FJEJXsSfnnARUgVpXjuanNRQQ2mDC7ZkCjk5zeE4JINCd3B1JzxaC93J6bRvJfdoHzQEmDViQOIo0fVL1u2wJ496t9PfaqaXG2EX/1KDfKWcuSIGlCOuOMOuPxyRr74KdZa1QekG8HQFy1Q7uV2R0VXQ3tZo2kt20cttRKn20a0znASJkxkgvI2NuZnFEiYzNRe7bx+8jDiwQfVL5s2qawTp0+r3z0PvvIVuOcelVGqFs9/vlpN+5GPwI9+VHx8YkLVi//0p1XJoNOn4RWvYODIvngHr6mbyMsSlQWr03gSfrLHYWxSzQyvHTQWHdTVXtZoaqO93J0042WAmRyxs4MNnDisomBbwf33qxqz+/axIdWb6eEFvVEaKsINSwYs1SIEN4Cf73N4ZMzDEsTqMy+Fl2Pv+bWvfS2XXXbZgj+ve93r2nagETfffDNveMMbeOMb38iFF17ILbfcwubNm/nEJz5RdftPfvKTbNmyhVtuuYULL7yQN77xjbz+9a/nb/7mbwrb3HLLLVx33XXcdNNNXHDBBdx0001ce+213HLLLbFfV0rJLbfcwnvf+15++7d/mx07dvDFL36RTCbDP/7jP7b1nNQimunfMmLUrKWi6RxRWj4RNgiVqysWamArB4krN92YOYG5UPHzbBaOH1erYzMZ1YEcH1cpmaan63wntbH37iFttC6nSDvSHPSQx+axFPekUb2ijKfSNe6fUD1d3XHUaOpHe7n7MER7vAyQPnm0+MvKlXAiTCfc3x8vHWKtFzbN+Y/feitcfrn696OPwjnnYP/oB5x1qjUrcwzaUyMHetvLS4H2skbTWpSb7UINbc3SYxmQcYqp7SOMOMXron0s5HDLVmmL+/pUKYFqgvvc56BWCa+hIRUg9c//XPtFZmfVZO/OnTAzQ1+2dX3udtPr8yCdPv7IyzOOKoWUsIWebNVomkB7uftot5crSUxN1HF0i/DkkzA4iJib41njjWd3XGp0n7k+Mo5k77gHApKm6Mo+c6ykyJ9vQb3JVuA4Dvfccw/vfve7yx6//vrrueOOO6o+58477+T6668ve+wFL3gBn/3sZ3FdF9u2ufPOO3nnO985b5toUjbO6+7bt49jx46VvVYymeQ5z3kOd9xxB29+85urHl8+nyefL65imG7hBBkomU3lZM/fWMdBiPYNGLaCKA2glMWIL9MornqNW7fIEGpyN+8X329qZkJNsNbCsiCVUpOyp0+r36OB3WqDuw0iEwkCYdCqrlA7UiPpMhSN4Qeq5u62kdZdLxpNN6K93Dq63csQDqSVrKpoxsteUJ7JwnRKVqmapso7C6pswPAwzM3Vf8BR7btKHnwQXvISVY5gbk5N/AL23AysqP9lKmmnO7v8EulatJc1Zwrt9jKo2u62KfD0spyOYBkL1wb0ZbGuuajy+GIYQtVG7bNgqkoX+bGh7az97Zcjvv89yNfIKDEzA6OjqmZ75Wqd3/kdVS92MWZnVZYM1yW9eWuMI9f0MtrLmjMF7eXaCOrr29Ta3hCdXSm82Ov5UgXpVmYJapWXK5GtjGAv2ZftxnjxLkTSfaUDegE/gLm8ZNtKkx3rFy/L2mliTcq+5jWvafdxxOLUqVP4vs/atWvLHl+7di3Hjh2r+pxjx45V3d7zPE6dOsX69etrbhPtM87rRv+vts2BAwdqvqe/+qu/4gMf+EDNv7eCZ261+feH87Hytvcy3T7wC2FO9ZLfGznm4bQgmytPsbioBA1D/UQj5IZR/P/QUP0HUYPsldcwnW/8g6jsoFe7Qan3Jkcznyi/fz2D7FZJdNElad3R1CxftJcXJ2473A1eNli4ras8xIa9nJf4FS/kJ5LFXyYn4Zxz1L/vuAN+67fgk5+s/8Wuv7566mMpiz4fHlYTv4AUzXVoLaP83kU7uD0kzOrlKRbC1F7WnCF0wssXrbPYf9ol25tZ7bBF99XfrsVwikXPc2nJlnmejvEaK9ICE8l4jSo9B3IJcq98Fekf/gAuvLD6Ri99qVoJ+8IXqnqzpQwOqjTFcfjCF+DP/1ylRW4BUb+/Rz7uniVhqnugrBv/XGsva84UtJdrE7UXlog3iVZrk05OyNrG4q8nJTXHLlrh5Uqc4dF4G8bhggvUIqY1a2hXujLdR24/CVNdqzmvjuD58P/pBIUMFt1ErKvxN3/zN/nXf/1Xglbl824SUXEipZTzHlts+8rH4+yzVduUctNNNzE1NVX4OXToUM1tG+XgRBCr+Lam9VR+wSrbjbgNSSkTGUmu4quY7R+GRKL2k/L5Yv3YZFKttIlW7KxcqVbRtoDMhU/BaWKWoXIwstrpkagOkiY+BsW0nJaA/qRgIFFf+otAgjAEF60rxvLM5AIePOoQhG1qICUPHnWYqbxANZoeQnt5cXqpw1HZGi2mj4a97M8/L9lV64u/7NunOoSg0hg/9an1vxCofTz66PzHzz9fpVLs64Mrr4R77wXDwBla0djrhHgxJ2R7qcZNN1Dp5b6EoN+u7/4mqtOjvaxZ7nTCy48c88j12MBvKW7MlSrdQMZhXn+x1SVrJjKSkwvUlAV4aMMl+O98p5pgrSzDde65cPXVyrk33ACrV5f/vZ4J1hMnwDTxkun4z1mAuLXZdHe5Pqp5OWUJVqTjX5zay5ozBe3lxfF6xMsC1XZV+rLVYSVxvFzK7NpNC9d1r4ezzlKZpkyT6dL+eQvRXm4fpV5OWoLhlIh9fQaoeXjPp+DhbvJyrGvitttu42UvexmbNm3ipptu4vHHH2/3cVVl1apVmKY5b1XsiRMn5q1QjVi3bl3V7S3LYuXKlQtuE+0zzuuuW7cOoK5jA5XieGhoqOyn1WwbMTGN3hDCciJpwoo+EXug0jJgRaox+R3tX4v/tKctcDBJNfk6OakmYPfsUb9bllo924p60KkUpy5Y4BhaSD0rSTRKRP0JSNmC0X4DA3AqViTH2YeU6uYYlMju2p/n0LjPfYdc/EBy3yGXQ+M+d+3P646mpmfRXl5elDrVEHDeGotUrDwxKpVxo14GOL12K0T3gL6vgqPSabXa9Re/gGuvrW+HF10Ee/dW/9s118D7369SKp53HuzZQ/4Vv8fukbMbPPr5LNTZbGQy+0ym0sumEBgl6b7jtg05T2ova5Y9nfKyEL3t5Z5phmV5IM9IGs5eHc+0AkhZi0/ixjkXu43VPPHsl+IdOqwmTj/1KfjDP4R3vlP9/+1vh7//e5Xd4i//Ug3qFg6kjivFtsEwyK1aF/85LUC3+PVRzctSSqZzsq52QXtZcyagvRyPXvCyRPV1K718zpr4PWDTWHxyqd5zsTu9iexr31Dns6oghAq0WrECmUjwA39L8/tsEN3ixye6HE0BCYuClwEyrqxrhtsQcHw6YNeY23VejvU2jh8/zic+8Qm2bNnCBz/4QS688EKe85zn8MUvfpFMJtPuYyyQSCR4+tOfzu233172+O23385VV11V9TlXXnnlvO1vu+02nvGMZ2CHURe1ton2Ged1t2/fzrp168q2cRyHn/70pzWPrVPsn/BJWoKk1dtC6wUMlJAsA1IJVfE8acc777YB11+YYrS//k/ppGMx9d8WENYHPgAbN8LAgJqUHRlRP5kMHD0Kz39+01FIs+/8Ex4a3N7UPjStJ4r4zbpw1kqL6y5IYZmCvBfegIn4K3PynmRrWCNn37iHEwaJH5v2+dHjOY5Nq7B3x1N/12g01dFe7hw+xRR0SQuOzfgMpOKddSnhqrMSDXkZ4HFjJVM3/mnxgX/5F3j5y+Hii+HLX4YXvEB1EuOwbp2qGfutb83/28qVKl3xiROwZQs8+SQAp3/z95hydfq8biO6mkq9vG7IZMZRk9umCCtOxNiXIYT2skbTArSXO4dXEnxiGRAgmM5JzBj9EQk85xybkb7WfEp3p8/ioetfhX/BhWoyNhfWmnOc8g3/x/9QKYj/6I9UEFQqFT8F4stfjpyZ4VejF7XkmM80OvF9XMzLQOxgSu1ljaY1aC93jma8DKqvfcF6A6OFH9ScJzj1G6+sLwiqGr/1W6qfvH073voN5HSz2/WUfuIBMJwyCl7OeirbShAQ+/qUEmwLto9aXeflWG9hcHCQ3//93+euu+7ikUce4Y/+6I/Ys2cPr3vd61i/fj1vfvObufvuu9t9rAC8613v4jOf+Qyf+9znePTRR3nnO9/JwYMHectb3gKoNAqvfvWrC9u/5S1v4cCBA7zrXe/i0Ucf5XOf+xyf/exn+eM//uPCNu94xzu47bbb+OAHP8ju3bv54Ac/yA9+8ANuvPHG2K8rhODGG2/kL//yL/nmN7/Jrl27eO1rX0tfXx+vetWrOnJuSildjr191CJlC7xATfy1Oj2QpkiAahykVMWkAylJWwZDSdWwLHTqsx78664ck9n646kkcOwpV6o6ctX4l39RnUzLgrExVXdubEyt4OnvV6L7X/+r7teN8M89jz0vuYFsi9uvpNkbN2DdnE45CAd4EyactUqwa8wlbQeFSLVAwqYRg+EFMlgL1PMNJHcfUO3KjvU2awcNMq7ED2RBbADrhrqziLpGs5Qs5GW7i9uQ5YDrq5t2x1du9nwYTqq2e6Gb+UDC7budhrwMqhbr4ategIxWyx47pmrZuGEuru9+F171KnjRixbe0eWXq/SJH/nI/L/19alB4i9+Uf0+MQE//Sn5F/0GT2xvffaKqLPd7W5u5aBAq5Go89efAF8GPHTUwfV9oioxvoSBBGxbuXDDoCLatZc1mkbRXl4aJMU0r36gvJx1JcNJQdJcvP2+fbfLRKZ1648eYg0Hr/tt5eZPfxpuuQW+//1iJqlHH4WtW1XGqY98BObmwDThFa+I9wLPfjbO6rUcd9rTBkeThd3sPWj8+Dqx0qyalw0RkDKLfzcN+PULEwve/5gCDCF5/KTHg0cdLlpnsW7IREpJxpVkneK70V7WaOajvbw0NOvlrAuPHQtaXgf3Vxuexuy739f4DoaH4Td+A849F5lIcGv/Ja07uAVY7l5uN6VlGgYS4AcBDx7JYxoBK/vUGI0EZADbVxoLZidNhB7vTwj2jXtd5+W6m7ULLriAD33oQxw6dIhvf/vbXHvttXzhC1/gqquu4uKLL+bmm29ux3EWeOUrX8ktt9zCn//5n7Nz505+9rOfceutt7J161YAxsbGOHjwYGH77du3c+utt/KTn/yEnTt38r//9//mox/9KC9/+csL21x11VV87Wtf4/Of/zyXXHIJX/jCF/j617/O5ZdfHvt1Af7kT/6EG2+8kT/4gz/gGc94BkeOHOG2225jcHCwreekksrl2H0JwWDCCCNeiqnRFsIyuvcL2u1EQgskZF31RTcNwUh68U5FxgW3wdXy9/Vt4/TNn6i9wTveARs2qAHcRELVz7Es1anM52HnTnhD/ekhgnXrOPyJL/OQ1frc/M3Up+0k3Z5O2ZPq2rr1YYddR10OTBT/JoEjkwEyKBeCQE2Km+FKWz+AnA85V6V3kKEIPV8y56gBYFCpJXZusruyiLpGs1Qs5uUgRhuivdw4ElR2gLBezmxeeXk4tfg9kRsUvbxYcFU17k1v5eTffbYY5ft3f6cyVYAaAP7ud1WJgVtuUakSzztPrYo95xx405vgS19Sq2k//OFiLfiIa66Bv/5r+Iu/KE70njqF++xreOzdH2K/WFHn0S6MgEJnu9vTcbV6UKDVSGAqB7uP+zx41OPxk0FZSquMAxNzksFE+fMMVOpOA3UtZxzI5LWXNZp6iePlxb4xhtD1tJsl6jdnXUnWU5Nii93rBJSv6mnFR3D3qks4/YWvq76xlHD77bB7N/zpn8Lp02pQ99/+DW6+WWWkSCRULffNmxfe8R/+ITKb5YFz2pM5LfKypPu91+3HV+nlh8d8ZkvqWfo+/Ochl4EFvBxIyLlwfNrn0LjPA4c9nrLBIu9LnBI3ay9rNPPRXu4Oqnk5zjltRymbWd9k10teS/4lL6v/yckkfPSjsHIl8tgxfrluJ1NO+y8O7eXWMpOH0xl4aMzn0WM+R6aKBx2g2o3+iuykpV52fTWWPZEJutLLQso4U3QLc+rUKT74wQ8WJmT9ykEjTWymp6cZHh5mamqq4bz8Dx51ODRe/AwSFoVo+dl8UJjoWuiDj+qtOZ660MUi22vKz5EAbLPYGBs0PtlaD2uZ41lf/RsGbvlw9Q1e+1o18XrypJqczedVD8MwVIdz7Vq4/36V7th1q++jBOe6X+fQu/+COwbO19dHD2MI9eOHIUmRhwxAltS4S5jQn1BTtwkLJjISNxr0NQV9tnriuiGTSzc3L7RWtIcaTbN0g5eN8DleUJxY1NRHYeBWqDauU14G6Dd8nn//txl582vViMJb36rq1I2OqoHeL35RrXb9whfg6qvVZKthqIwWs7Nw6aXqg9+zR63QMQxVcuCcc+AP/qDstYL3vY/7fv3VPNyGQClNZ0mHTnV9WbifNFHXbxT8J1D17/psob2sOWPomJfFwoE7KUuthsi52sv1UDmukAj7zH6wtOMNSVNy9ZG7WfXpj5L41++oB4WA5z0PLrsMfu3X4Fe/Uu7+4z9WPn7HO2D/fhVgVToGtmEDvO1tyBUrGLv4mfwgdcGSvCdNa4m8nPMkMuwzl3pZovrUkX9VUKAk5xWv7Ohv2sua5YT2cm/TrV6OuMA7zo6v/h19H7sl3hO2bIG//mvkoUN4Z53DT859PmN5nZlgOZK0VNmAXvWy1cwLeZ7Hd77zHT73uc9x2223IaXk0ksvbWaXmhawY72N66n82L6UTGbVDaQAhlIGE9kAf5GBSD9Qk4qWqSILuqEh7nZKJ2QNAaYh8H0Ze+DXEDCYVJEgjUasHKefX/6Xd3LZqtUM/q93z19+9YUvwH33wT/8g5qYlVLVmZ2ehrPOgpkZFfX7T/8EP/oRfOYzkM3Oex3vWc9m4o1v45GLr+GA1Df/y4G0BTlPLZwGQV9CkHFU9BDA9lGDpG1wbDog66qIoui6tg0YTqm2AlTbs2sMLtmQqPpaGs2ZRrNelhRT44MOlGqERiZkBcrLs05zkaRzgckPd/4mV33rB6x99x9iJsK2cXwcVq9W//7pT+Haa5V/q9WNLRxUOBrx2teqid2Kvx169gv1hOwyQAAJQ5KwBQaCqZxKrtiXEMzmA6RUHc6htEAIyGgvazR10ar+MoSBuJ72clxKz5MqIyCQvox9/gYSKgNQq1d45H3BD9ZdwaoPPI0L//sj9B/eS9rLk0waiA0bME0LcdZZiJtvViUFkkm49VY1Gfu2tyk3j4yodImBKhVz5OLL+XHq/NYeaAn6frBzRF4WQuD55X3mUi9vGzWxTcH+cR8pZdn9ZspSmahAe1mjqUR7eelo1sumKC5Iage7rbUcf+2fcdlzr2flP/wt9u3fr77h6CjBje/EvfIqZtLD/OKilzKVB/JtOrAqaC93jiijY8KSWKI3vdzQpOxDDz3E5z73Ob7yla9w6tQpRkZGePOb38wb3vAGdu7c2eJD1NSLIQQ7N9ncvttnOiMLKYtX9An6bcFEdvFGwg3UihxRuoJOExs1gC5ZkRZIKZjNBTiL3EAkLdV4GIZsqk7OYYaY+PW3cMUll7H6Mx8l8d1vlYeTPfAAXHEF/P7vE7z5zYi9e2FgAOG6kEqplkwI5O/8DvKVryR7Ypy58Vmk7+MNDDG3diMHV2zhqN/XNtuoTg/kuzQtcGIZBStEq8fcQC2+GkgKLFPgeBDdhhkCEpbBJRtsDozncHxZeJ4Atq+0eNrmBPcfdjk27ZMIi6hrNBpFs16WgBMjZZNmAcKTZ5vQZwtmc3JRLxsGBAiG0zCZid8xrUYmMPjB2mdywWf/jQtO7WbwG99AHDwIP/sZvOAFqn7dyAj83u/B175We0fRhOyTT8LDD5f9Kf/fXsNDqy6EFtd3j0hqL3cMQ0DeV9/7jcMGa4YEJ2cDJjLFek1JG37t/CS3PpLXXtZo6iSulxcaXIvS21tGMV5GE5/o3KZtWDNqsfekt6iXTQMQrfFyLU55Cf5j1U5YtbPscUPAuYMTPPXvzyO5dw/iO99R5QW2bAHPUxmo8nnkihVkL7mUe0YuZF/Q3uDlVX0wkS2mc+4mlquXhYC+hCBhgmEIJrNFLycseMaWBA8ccfHCCY3oOk9Zgt/YkeKho572skZTBe3lpacRLwsgYQmGUoITM0Hb2vwJ3+a2zdew9q8v55x3Pc7A0f2kx08gfB+3f5C5NRs5vek8HkmsK5aX6+BkbEQ3e9kMvxNd2p2vGyN8PyrNdm96OXb64qmpKb7yla/w+c9/nnvvvReA5z3vebzhDW/gt3/7t0kmk2090DOFVqR9CKSqLbX3tFdY5QZqZYhpqNU2izWsEdEAcBe2J11LlLrYNATnrDY4NSvJeyrXeWldutJzagrYPmqSsuHRE/6iEWBxWWm5XHDyMQYOPUnfyTGMzCz+wCCZNRuZ2Xw2D4+eT1YaXLbSYdPpAxhTkwRewEx6iD3pTTwZDC7ZZ2+I7s5xb7B8ZGYZqki6FMWbKikhH+Z7MITaxjLVatoI2wAhBNtXmjxts4om2jXmsn3UYjBVd8nyeeh0TJpuoNu8DDoCs15KvZwyJZ4U2KaKoKw1YGgIFZ29cUjw5Pjikdn1YAh46S++xNA7w9TDr3sdPPgg3HOPSlX8vOfB4cNqxazjqG1SKXjNa2DFCpUm8ZFHyvaZv/7XeeR9H+WhxIbWHWiV49Ze7gxWNJBkqH8PpQxm8rLMy5IwMr3kedrLmjOBTno5jm91f7l+onNmGjCUFGwaNTk5E3B6bmm8XC8jtsc5YooNuVOkMjMgA/KpAY6mVvGoWMWM13x7G4eofmKnyjGcyRiiWNrHCjOveEGx/I8RRkUlw7SfpZkrhBCkbcH6IZOnbrJ45JinvaxZVmgv9z71ejnqd1kGDCYg40G+TYHBvYT2cucoLU9lG73p5VhTwK961av41re+RS6XY9OmTbz3ve/l9a9/Pdu2bWv6YDWtZ9eYiopP22pixQ9UlFEAeGEas4SplnlHg2u1ZLVcJBYJw2zzqt9o4NcQMJSU5FxB3lXpXkvTklcegmWoBaoPH/Nbes5Peza/GNkBIzuAKgOqoTTvOJEAzoWBkr8tsUS6eeAXlvz0tBS/5OY2kCrHvkClevBR79UJb4KN8DpOWYKkpdLJHJ8O2DXmcsmGhE7BpNFUoREviwUmwLq8eYxFpMR2ZEWo7IgPp8A0DIJAZa2wDEnWWfgsGgLWDgj2nGp9xG8g4YnLfo2nXPZM7F/9Ej7/efgv/0VlsfjGN+Dmm2HzZnj968Gy1Cqcs89Ws3QPPQQnThT2JZ/5TE6/+R3sufAq9pirW3yk84+7m2nVZWSJpY9u9qS6dxWolUanM0Gx40nxvbolWW20lzWa+MTxcspSjppxFl6d0+VNY11E7Y6/2IZNIIB+W7m/z1arGDJ5yWRm4Va8nV6ulwnX4lesBGNlef+5nSeuCoHsfje3gm7wciDVmI1hqIkHibomS71soFbsEP7NNgQjfaJQF/PYtI99TKcs1miqob1cnXa2f6XnT6Dat/7EfC8bBvMCoaLxdVPAZG55nfNmOFO8nDIh1+F7nkokFNIW96qXY03KfuMb3+ClL30pb3jDG3jBC16AaLLoraa1zOQC9o177FivChJvGzF54qSHJWD7SpOJjM9kVuXNNkWxI0RYDNnx2jdR2S2reaJjaMf7jL4N0YRnEEZkeIHg9KxPxpXk/YVTZ+R92HNy/oRsqyeRzwQ5aOonkpcZ3vAF4WDwQBJMUzCdk4W7XpXmgSVP86DRdDPNeVmlv88v8U1uuwkXAda1QrgeRMkNyJwDA0kZTsiqm/bFvOwFsH9i/sBvq7y8y95A/4c/w1nvfB32fffAV78K6TT89m/DypUqFSKoSdnPflb9/md/BrOzKn2x55G57kXcs/6p7HP7mz8gDaCuya64cUVdw6YAjOLKgIQJ21aaHJ5UAX+oP2svazQxKHXz9lGLY1MeUzmVInzOCeZ5OW2BYRoMmZLZvCwMSHZL/7ZdtOv2I1rhL1AragaTkLQMVqRVna+4Xi4lCoh2lvk905lMN3nZl5AywA3vBaUs93LOk4Ql7cJSAqYuJaDRLID28uK0MyDFCDPuCNQYoC2qe7nWDJAvVVn1UgQwlETVctUsW5YyW0kpnoSU6F0vx3rlI0eOsGrVqnYfi6YBZnIBd+3P43jgerBzk82ekz6WoTouridxfUGfraIDkiYgVMclaQEIgjYm2u8WMbb7OCyjGCkkUUvhfQkZR+JLtTzeC1dACVQ0h1txUKUTpmqlrdpWRx1p2kXpzWuA+qU05saTsH7QJOv6qr2QaiIjacJDRz2eusnCPkbL0jxoNMuBZr3cZwumcu1p9butw9rOe3lTQBDefAeo1OtJS3SVl+9On0Xuo19h+4+/xdAtH4LxcfjKV8o3GhyE3/kdSCbh1a/Gv3gHU299F2M7Luf+1FZ8twUHoikg2pxRZdHXp8LL4UhJIV2xoWpuJS0RrtqReIHQXtZoFqGamwdTJlM5n2MzAbah/DvPy4bEEgJR0up3k0dbTbu8LCimW4/aOccXWAaMZ9TAuijGgBZWOlQORktZfv4HEmCb6r5pKdrubruvWo50m5fnXPWgQXUvl/aZBer4L91ss2tMu1mjKaVbvbyc2/XK9xYtzoj6w4Yh8INyL4MKfpIyXkregQRYpsFwMtATs8uYpc5eESGBWVet5u5FL8euKVuN8fFxPvShD7Fr1y42btzI29/+di6++OJWHt8ZR725+B886nBovBiakrAoLMPOhKOLfbaY9zc/kHhhChbXk3hBSe7tM4BW1h0zBQynBHlfkrQEeQ8MVM26hCnJeWG6DaEElbRgJg/ZBQZS1wwI5vLqud30mXRD6iBNazBRsnKDYl06oBAGZxvRTZugLyHCWrPFNgRg86jZ1jQPukaOphvotJeTpkqpcnTKL3jiTGl2W9UJ7jUvWwZc5Iyx8bF7SO9/HGP8NGLFCGLDBtwNG8lNzuL5EnfFSg5s2cH+Jaz3rmkf2ssaTTwauQ5ruTnjShxfkjAFfbbQXq6gnV62wzGwvA+mkGTcsKSPAZtXCI5MSTJO7ddPWWr7rKsGlDv9mSzngXuNQntZo4mH9nLnaNY9pc9PmFGWRxW8XMvLlgmXb7H5+T4Xd4HMFCkLLFMU5hia7TNHk2xRwNaZ8hlraiNQNYznXHV9RYF8verlWCtl//iP/5h/+qd/4uDBg4XH5ubmuOyyy9i/fz/RvO7XvvY1fvnLX3L++ec3cfiaetix3sb1VB5sKL/QNq0wmcn5uD6sGzLZucnml/sdDk/5DKdUzuzjswGOGxAImMoEnJpTjWcr6KZGM1rBGkXXDqXUl3QuXDFTGZoQd9I2ahCEECQMSd6Dp2ywuPeQiy9lIdWDDFcgZhxIWIKkKWsO/gpgKjs/dWUz57NVn4Unm9+XEQ6CZ1wK11o3XStnAiZAWBMnaZSk/ApFZgo1aRRImHPUtbpphUk6oSYyjk8H2JaqPTuTC3TEr0ZTQiu8DJIrtye4e7+jJhCXoZejKEXTUDUzTaGicJOWYCYvi7V1qa8j1ote9gJ40FrPgxe/BLGjfBUvAOtLntiGZUyGUHV355yiD6LPR5c96AzayxpNe6nl5qSl2sCk2Xkvd5OTIWxuwoOKJqDa5eVnbrXZNeYymZGF1bMG6rNwfNg/LkktMlIlUQ5vlRbr/Tza+dkJVHrnnNcaL3fbtdYzaC9rNG2j27ws6M50+FEsSBwvRxkpFlp6F/3JNmAgIZBSMuPAyj5B1pNVvZz34Bf7XNKWat9q7V4CjitbVp6o9F5jqR1WzcuW0VwNWe3m+hECXCkYSkomc+UTstW8fNZKi7NXmdy13wmDD2DriMmDR50lXyULYYmGxbjjjjv4vd/7vbLHPvaxj7Fv3z5uvPFGJicnueOOOxgYGOCv//qv23KgmuoYQrBzk02iotOSsOCZWxNcuT3F5lGTSzfbnJzxGZvxkVIymDJZOWAwNuVzdDrg8ERAzoWBpEoj1AzbRgX9CaG+HF1CIMvTHc3k1Zd5KKXerynKvwxlkZALIMJ0h3NOQMaDrCv55QG3kF/dDVcgSyAIlCBn85D3Rc28/BLmDfyaQkUxNUorG/pm9yUlzDphVItobp9RbYmSdrgMgYrWqiyD3UWX5pLgo1Y9p8N2o3AzIFXh84GkgTDUd3hFn2DjsMFMzufIhLqYN60wGUwYnJhWKWdmcl1SUECj6QJa4eX9p33u2u9iGaK1Xu6y8SApKUTbBhJStsA0BGlbIMT8jkqctrvXvSyl6uh1cjJUSpjKqXNT6uVGjiHyskFtLydM7eVKtJc1mvZSy81pW3DteSm2rLQ66uXhFPQlBGaXeZmS/nI7vfzzvQ4zOVmYUJVS+TgfrYaSKoB3oRfIe/NdGqf/Xot2aLeRw4nO8ayjvBxdI416OWmGqfxqHI9ADSxrL1dBai9rNO2i27w8lIKV/caiAUGdpHRCFhb3siR+/1QFQUkyntrv4cmAiUzzXnZl+SbNuERSO/Cqk44q9bJf0l8uC6KuA0OoH9uERJXrVnu5NgJImZKsVyzvU8vL20dNzl1t8quDDp4vsQy4bGuCJ076HBr3u8LNsZqtvXv38oxnPKPsse9+97usXr2aD33oQwwNDXHFFVfwrne9i5/85CftOE5NDQIpuf+wW7YSB1SU0f2HXfqTgks2JJjLS+7Y75ANUyeenvX5zkNZTmcCZvKSrCvJeSpydShVe2AyDocnJQmzuyI+KiNrfAnTYc2+AVs9Fn0VowY3TqoFKSHnqmiZvBdGJMliFGu0r6ixCAI1SWgbctHzYwgVibN20OC81SZpW2C1sBWOavV0umGPOpSyygrlehCoDqYIhWYaxVQF0d8FasC/8rx1WuDdiBFGGLlhGFx0PqMUD1JCwhY8+6wUAykD11fv5PhMwIlZn/GM+sY4Huwb92q+jkZzptHNXu6msd9KL0tgMiuRBCRNsEXx75FD4yijl70ceaty4LTdHmmHl8UCXvYD7eVqaC9rNO1jITc/ecpnx3q7Li+P9BkkjMbbk7k8Z7SXg5JsSSL8R3Qug0D9u88ud1Ktc50wYTQtWN0vVI3ZFp9UU6iJzUa83IhSSwffS89VI0T3PFa44hPUNVfNzZXvqZvGcpYKy9Re1mjaRbd5OePAydmAdKJ7egrVvDyVleTcAEtIEkbx71GblI/Z1OR9lSUp7xVLAJQuemnYy1KtRtyywqAvIRhMKE/327Hf9qLYRnFisxOUerlaps16iI45YRb3J1B940ovV44JSLq3H9sp6vHyM7Ym2T/h43gqW4sfwK8OOGWr85fazbFuWScnJ1m/vpg7zfM8fvWrX/Hc5z4X0yyGYVx66aWMjY21/ig1Ndk15hYuKKAsyujYtM+uMZWLb9+4R8IU2Ia6eGfCumgQftlFmIZASkwhSFqNf9m9ACaysusbi0BCxpHMOcUJWEF9EbaVk7cSSNpFmRHuL9pGoqKDZ53y/VQb1E3b8JIdaa67IEXCNli/wuQ559oti9yKCl6bRrHBX5ESXRUZFhEdX+lnIymuJpKAkMV6L6Xb+HJ+QfpOxMIkDNWB7xYMUf6dtk3YOCxIhRdfyobtq0xW9istJC24ZL3NvnGPi9ZZrBsykVKScSVZp3iW1w2Z7FjfwjssjabH6WYv90Iq2uksuH552iNRx3F32svPPS/BSCr+8S127EmrfOB0RUp99t1ILS9LGbo56G4vL0VgWinayxpN54jj5nq8vKrfYDjd+OyfJ89sL0fn34yCa0MvRwPQXqBWpFQORlb2000DRvsEL7goxYYVFhtGLJ5zbuu8DCrIKFlyU5Aw1QqMyhUs7aKeS6RyLCPycjToDsq3bsmkOOHvS3EtGgJGUuXHvJTZ1qJrMSKpvazRtI1u83KUTWky091j2RIV6JRxyzM5xQ2UqtxXRDLMMNgKL69IC551dpJzV1tsHLW45pwEfQnRsqApX6pJuGhyNKpb3ykv10tpnzNKd5zziv+WqPtCSraLVuFWfqbtVrVg+Xg5kJId623WDhpkXIkfyLIgkG5wc6xhnrVr15ZNtt577724rjtv9axhGCSTydYeoWZBto9aHJ9WM/9Rvv37Dyu5JSz1dyjm6x+b9stSBSHV4N+mITg0pVaLzOSD6E9N0WxR706QqwiKKG0MmyGKdvEDqIy7qHxNUDVWp/Plg5J+APcdcjg9J5nOBwylDE7OytiRT3GQUkXORqkcJ3Oy5dHFrUCibhBqXVOBLD93UZstK/7dSZygWMvYXODYO8lov4rMD6S6iTs4Idk4ZDDrSAYSglMzEtsMWDtosmmFyUNjKnLRDWsy7h93cXx149ufgHRCpZwxuvXuR6NZAlrl5W2jgkMTqgbqmeRlX8JMxQRps6V9gqA1XvZ8tdpZSskTp3yGUsU6PK2iV7wMysvVIoWjh0o/t+Xi5WjVUbNEwWbJRDGFt/ayRtM+4ri5Pylie3n/uE/aWjzDwmKcqV4uuEOo9qzaaag2SWhUvrZUKx2+/2iW6Rxt8bIpwC05GMcHN9P8Z98OjAW8PO/xcOC9mZW4zRJIda8F6rMNWLpa9gUv29rLGk0n6FYvd2PbXklA69tuz1erEEU40V3t/iSOl/1ABQJ9/9EcWVciBDieyWxezgvKbRipgqqNsD/nS5jKddcnF/UZIy/Hus+p9HKrOp51IFleXt65yVbzPL4seNk0BAmLrnBzrGGepz/96Xz6059GhndyX/nKVxBCcO2115Ztt3v37rIVtZr2M5gyuGJbslCfzjQEl25WkQAr+gz6k8ULzDAkObc8R7wvwffh8JS6GKZy6mKvNkC5GPo2U5F1i2KI23bNOMyrKZTz4LETPifnAvIeTMwFeC2ckBWoxrVSjLVEKaDjq0pKV5HUI4KEVawXPJQSrEiLJUkPFt3IRJMB9RClYWg2KilKeaFShwk2rTDVBHcAQSDDtEqSw1M+c46qLZ2wBSfmgkIU0di0z3d35ci6xRQbeR/yruT23Tmmss0OzWg0y4eWeDmAk7Pqu5sPVzg0EpCjvazI++qc1utluyLbQd6Hx094PHbCV6uPM5KxKb9lnaXIy16PeDnu+Yx8FtV76lUvQzEtcyvOuURdl3YY/qu9rNG0j2puPne1iR3Wex9MqRYprpdzrmQyt2Rvp+fJeWrMoVpd2IWoDJ72pEqxPJ6hLV6OXiMKlIqotXsBmHS/l6OVJwMJlY0jZdFURpZmiBzW6Fh9aZ+52ePXXtZoOkecPrMhBDs2mMzkg8J4YDu8rPvMynXRmEM9Y6+VXpaoTCATGUnWVWmhj0z5yBaeZBF2IuMcp0BlwOpkEsPSLFdxz2Wll5MWDLWgVnIjLBcvH5v2+dHjOZ485eGVeFlKyWRW8sv9DkEzuahbQKyVsn/6p3/Ks571LM4//3xWrVrFXXfdxdVXX83Tnva0su2++93vctlll7XlQDW1GUwZXLIhUfh9Li+ZyKoL8b5DLjs32dx3yOHxkx5+UJzkKU1hUxpl02jEbnfFpSwtpd/rKLqkFtEgbLXzXvpQAIz2CwxD1cPtT6gaALLGcxc9RlQu/kzMgf7Sl+jUKpdGInKilVCBlNimIG3Dc89N8Z2HsqowfYeojIiq961IwtRgzUZHhR+WAeQ8yWQuUAEAQkV6C1el8HbCfqIQsHVE3bIcnfTxfFVEPecWow5NQ4kw44Kbl/zw8TybR0wuWGMXBrU0mjOZpr0cDjJGNNoEaC8XKT0Xcb3sVBk/q0zBaAjBSL9gOqf26AeqjWxkEr0XvRz39aSErCOxTHrWy1C8v2vVeVbpnVWEv/ayRtNeSt08kwu4+4CD68ETJ312bjLq9vISj+P0PLX6r7W6PrWyM5T6vNVeBtUfqwyWqoWkuGKom70cXd9zeeXlPluQsAVTmYBsB8urRQO21VI0xkWixrIMozWrebSXNZrOsVif+ZKNFt99KIfrFwNR2+HlVgy7LQcWCjiqx8uV+5IBbF5hcnTGJ++qvw2nRFi3vn6EjB+EJFETx6WBzO3+nCvvNxr1ctIWrBkQ7DnVuZQWve7lwZTBXE5N1qYtGM/I4jaAIPRyoMqJTeR8rj4rtWRejvWql19+Od/+9rfZsGEDMzMzvPGNb+Sb3/xm2TbHjh3j8OHDvOxlL2vLgWris2/cmxcZsG/cLzSWpUW847CU+cOXA1Fe/lqozuPiq11sQy3Vf8bmBOeusbAtUchB3+hnFHfgN4raKZVYPbV3W0Wcl5SojvOcoyYhxzOSbz+YLaQ76BRpi6ZTTkqai+gyBAwmBcnww0tZsLrfLAvCyHthtBDRjazkjn0Odx9w8ALI+5IgKL9ZklJJLO+pz8T1JftP+9y1P89MbglzYGk0XUqrvaxpjsW8XNxw4e1MoTIzXLrR5qxVFoMpUQgMOlO8DIu7WaI6zl4YnXpqTvLvj2RbWo4hDq3ycqM91ChzhWWEq7CFemwgYZRlS9Fe1mjaj/Zy92FFqypqnHMpy71XjYW8vNhza+HVMTBZ6WWrRZkV6mWx1/TC2omRl6fzkvG5oKFsac2QtuZnC2v0fDWSylN7WaPpLird/N1ducJ3KJp0rWccu57+2Jk+IVsNI2wT43i51rmOVk1evMHm2duTJG217UxeltURrod6vJw0i+VrJGqisNHuYDM+b8TLc/mAvac764u0NT9bWKPjGp328t0HHGZyATP5AM+XTOclsuQYgvB5rlpkSyBhNieX1MuxvwIvfvGLefGLX1zz7+vWreOBBx5oyUFpmiOqUxcVTXc81RB5vmoMpVR5tHM+4MVYZSm7pybmUtJo5FScCBNfRtGUC7y+UJ/libmApCWQgaA/oaJD2pnjXaAm9hxfpZ8A1SgmLPAaWOHSTHRSPc+JzknpSqeF8vm3mjkXEk3myPBl46uFDRGlihSYYc26552bxBBw4LRXM6LN9WF8LiiIuFpaMT9sE6IUJAIlb8dTN9Kl0Y4ajab1Xo46R2e6lxtlMS9HfxMyTI9UY2PTANcXFV5WNW7irqpphG7ycr3Pk+Hk7NQSpP1shZehsVROpoDRPsh6AkuAYQiyrmQwKbh8q80PH8trL2s0HaTVXhaowSO3tZlzzyi8YPH+ti+LdderUcvLOU95uZ2rm4dT8728Ig3jmc7frzXi5VI6tWKsmpc7cS8SkbTANLWXNZpuodLNVjixGq1kHUxAPiDeODaqfamV/UizOEGMuYDFvAyQsgUHJtSHkLYMEoYseLmdDKcEXqDqwkdeSxiAQUezQkBjXo5qu0LnVvlmXFjZX77at9H5hk57eTITcMfePDN5WVZ2ovSeJlrUJlH37X22WFIv67wZyxBDCHZussuiTkxDsKJPMNJvMJgUmIZByozZQRCqU3qmr5itjOKMS9yGyA8W3jbngSkkUkq2jZisGzIxDdFUnvY4z7NNdf2kbYNEGGWUToT12Bp44SiSZanopes4OtRGrr2EpSZko/2YAn6xN8+d+/M16xNCsR5y3lPXXOlnVbqaO6C4wrvPFgghWDdksmO9Xf/BajTLnFZ7WQJ92ssNE9dBUeaFWjg+SBnM87Jos5cNobywXLzca5dxFPFdDxJAGCRNoa4R1ATQVC7gh4/nFxws0l7WaFpPO7ycssvriJ2JNNuex3FRI15O2aLhCdmYiTXIe5K0Lcq8POuo0kO9RCOOa+r1WnATYBqN1XsfCDNKaS9rNN1BpZtNQ9CfUHU1h5NgmfG9HEgVsNpr/YxuI865XsjLEpWSNwiWxsuqPqsqa2eEgTK9WLJRQFNjDHGRQNCCAsCt9PJMXvKLvXkVKFmDqF7seEZWDZSKiB43BfR3gZd77BZRE4dASu4/7BbSPhQeDwQr+wzWDZlIYCZf9ellRMvGfSlIn+GdzCj9xVJK3Q8khydUDaT1g4KMI5ta+ZmwFm4EBEqwWVcSyOJr+YFKhdsrtZQMoa7jlFWcoIT2N4DNROQlDCVdQ1CWciEOQqhBIQk4vsTxA2bzktMZyalZueCkbM19hvsV4bmMzmEAZFyJbUp2brIxWtGz1miWGa32skANAmkvFzMDLFXLM5On4OWzV5mYYaRwo3o0DdXG1kKgOh3Tud72cuSUKF1lL3hZlPzIoL5rTq3eUqkNM66aBp/Nq05j1p2/Sin28WgvazQN0Wovm0JF6Z/JGSxKBwwjNy8F1bw8m5cNfzZxvCxRg4GlfXM/gIQpO15CpxkEhLXsiu+53R+js8Dg6WJEaQ4N6i9PYJtRnTrtZY2mW6jmZtMQDCQNDNMgkDKWl83wOzjnxK8JvhwpDRJZSi87Puw56bfMy7D4OHbk5ayrxkajNNhBQE95OZqHGEh2pqSGiZrYbJTCPSCt8fKcI8l7kons4it2pZyfGVMU/lNsF6B7vKwnZZchu8bcQroHoCwC+Ph0gG0KXF8uekFHKXdsUzVpcw2kxFtORAN5Kbs5mTXTkM65Kld63pXcecDBD5rr/Dvewmn4ojQhUkqyjlS5+6WSWJyboWawjDC1RJOY4WDvUMogYaloZV+qfa/oEy1JZdgOnEBJx5eNpUqMajLZhpq8ia6TuNfLvM1EcZLYEKEQw43cQKWivP+wS9ArMwIaTQdplZdNAwYSxcGeM93LpTX/BprINtOM04Uoevmu/Q7TuaCpzr8fLB5tDOpa6FUvg6rnYwnoTwrMCi8nu9TLkfaC8Kce21lCRWmrAXvVuYyCkOtZuV2G9rJG0zCt9PJQSpC01fe8lwb6Wo1aXRH2HwU8c3PjjXkzQ2NL5WWBev+d9HI08NkKosnnvoTA8dV7NoUaD0q1MQiwGUNFLnYCNdBez74CX3tZo+k2arlZjUnCnBPPy8Npg6FUtMCofcfb7ViixFFNerkZJCpIqVVejvpjC/0dwkAjoQJuouumE2UmWuVMMwzuGUyJwsKaqD/ergna6NvX6DmKtNeIlz1fvb9SLxtGvJKQEfOuC1EcGwd1T9dNXtaTssuQ7aNWQV7rhkyef16KdUOq8bUtdYGbMYpbq0hXQdIS5M7wgd8I21BpYZtp/+LmY69sZA2hJobnXEneV8fRbLMR5/lRDYaoGLYk3o1NM4Pco2nBOatMTLP5RipKLzTnBPglUVFCQBDIZVlfIpAqxYMMJEIIBuz5xdrrJYo68sNBBimLHU0DSBiSvac97tyX58GjTkFqgZQ8eNRZssLpGk03ENfLi91cB4FqiwdSYt7qnjMVgapT00xdmMjLcbQlKv7tBUUvu0HztXHieFmg2uF6vVwaLV0vpV5uxaRpVCsn4xQ9HHk5vwy9nPVUSkQhVArDhCnobzJLkvayRtM4rfSyKSRbRiwyTfSXl1M5AoFaaXnvER+rwfcVKc2O8RlU83LWAyEEM/nmBn5LjyXOhl4HvZw0YaRPMNwnaMUwe6mXc+E9lRXWV871wD2nU+fn7AOnZ7WXNZpuopabJcVUtHG8jAxYM2g1NW67HLzslnjIMpSX+5qcMBxILD7pWHnqBOD4omVejo1UQexRXz9OqZ9mvCyA81cbbF9ptaS/HATlXvalui77Er0RbFCvlyVwak5JM/JysxPckZdBnbMogLBbvKwnZZchgymDK7Yl2TxqculmG9MQXLrZZu2ggRdITmcCTCGwFrm4o+XcppAdrSvSrQjUyo65MMqm0YY6doSHLK7yNMNISylV2gUDyUx28SixRqh8X7LG44vJqplAk1UDAkOoGgO2Wft1opRFixGE520mLwurf90AJnONH2MnaOY+0BRqMAJgOG225FqRsiR1Y/hY0oYtI6aakPAkByd89p/2uO+Qix9I7jvkcmjc5679ed3R1JyxxPVyf0oseGMmURGECaOz9b66mYSlUuz7C6STjduWxm0mTVFsByu93IlOZsNepo7B5Yr9WqZ6b1Kqe6FaK5PjnuvonqYQKMXy9zKyWFNuKGU0NYFT2KX2skbTELW8vHnUZMAWHJ7yMYRgICUWTL8mgek82KZkMNl4C9GOPt1SkbDUJF6UzrkZN7sxs0JVetlxJRknIOd2MHWl6JyXQZ2bK7baWEKlHK41gaC9XBvD0F7WaLqJWm42BXiBxDaNurycsrWXoVjb0/FV0FIzpX9mncUDdSr3L1laL5emtG2nlwHOWW0XUtk3m2EquqeJgnyigIRl7eVwHFsIwcp+k3wLgsKqfebd4mU9pLdMGUwZXLIhUciLPZeXTGQDPE9FGElUBGtllFHUeAihLg4vUBNZy2E1YeXF3kgETNYt1oqLJvea3Wctogjb6KeUGaexOieLEXUeqr6vigcXSyHQzOHtORlwZMpTxdkXSC9Rb/rAiEJ0TAWdyNEfl03DgpX95auyLUN9bxeLFjLCiF8AScCRKb+hG59o0js6BsOAoaQgYVGoW5uyDDKuWpFrmcUJ8GPTPj96PFdIP+N4sG+8B8KsNZo2EcfLppi/qr20/RXhf2ad5evlem5MBaq9WczLrSRyc6VC2uXlWjTi5UaRwIlZ2H/aRwI5V3XIa23b6Gt0++BH0lLplbWXNZrlQaWXDSHYPmoxlQ/wfEnGkawbNBhMlTe287wMPHHSZzrf5Y1YDJodHKrm5VrbVXN2I1Tzso8aeO7kJxLHy628JwkkfG+3w3RO3RPWcuhy9XJUjz5pza/5u6oPRvsWPtsGMJDQXtZouo1qfWaEJAio38u5Lm7EmqBelwQBhUxE0URf5ZkRFf9vhmp95aX0slHiiHb1l0Ht998fzXN40sML6l8puhhuQNePARk07mUBJExIW2AYkvGM31CmDpPy69g0VLmChNl9XtaTsmcI+8Y9HE8VSbcNcHw5LyVxIc+2pHCxLlW6mnbMjVW2h6YB21fG/wpUa7grH2s2qqYbMIhSV6sfU6hrwzaLj0e0a/BbArP56pHR7Zw37aYUEEemJDMVgztRCqS0pUQiCDukRvl5GbBVdJEfSCazFOoP1MtASrUFpqHShw0miq+SMtVrSCmZzEoSpkQAg0lBOhx4Lk2vum7IZMf6JnNCaTTLiGpejmqERis+Ii9HUfdRhyK7BCUFOuXlbdrL8yhcCyydl0FNOnsdqMPTreQ95g3uaC9rNMuLfeMeQSDoTwiEgMOTPlM5WQjcjAb4qnm50xNYnfCyIWA4Ff+V4ni59LFe9UmjXm71+w3kwgHMyxWBeu9+OFYVfR8jZhxYEdaTrOnlhPayRtMLxPGyYVBoCCMv55aJlysxhKplX89kTrX+ca1tetUnkY8Lbg7HUYZSomzlbqsCwmqhSsnNXw3cqsm3bv98AuJ5OWUV/x0RBTEHEiYzkvFMY++2P/SyFXq5zxYkw4wi3eZlPSm7DJjJBQvmvp7JBUgJawfVx20IVdzYMooNUsqCwTAVnQR8X13ESzVJFa0YaieDKcHRKdnWBrkTUm4lEtWIRtFDUYRs9BPJLGGoGn6lK7qSLSpmHiHEfJHZJly01ixLz9Rr5zguEjUAXPoVDKTqMM444QCAUVzVXnoiMp5K15L3mzs/s3lIhf6Jbm7nwhV6uXB133ROFWCfyaljS1oC0yhvOBIW7NxkF6IdNZrlTjNeFgBhBN9gRYpYQQfT/VQQfavb+S3WXq5O5OJGvFwZpdosQlBWI9A04AXnW2VeXs6dCz/QXtZoepWF3Bz97aJ1FuuGin2NaJAvKiszmCzfp0C1C0tBJ7yctFR/pJ398l5shSq97C/i5cidSUuNsbSSys/mTPDyvBVYFSufHB8OTkosQ3tZo+lmWuHlFWmBKUomFUva5k5T6uV2fZMjL+umopzSfnK0GtgPVHus0tSrz8QyYDClJusMwoCqFkuyspyAKeD6C+wyX7f4VqDrWMjLkTNF4T+KAMj7ypcBjX+HesnLLZ5G0XSamVzAXfvzOB64nrpg7j/scmza5/i0z1PW2zw05uJ4sGbQwDZVNIAbQJgFgqQtSFtqab0IvzZR1KFg6SIxoojGZpbnG6h9RJ2k6L0kTJjNqS+6IdqTwiBqiBuprWqi0jt0A5HcPB8QIAWYpiBpqcZOoBorv8VRupUDn6DO5eMnfWxDNZyVtQG6PWqoGaIbTQEMpSDvCdxAFiJ/cp4k66ptDAFrBy1G+1TRcvz6AywM1CT4XDjQnLZEMeVJyY1OKTKAU3MBCVPQVxJM5Hhw/2GXSzfrjqZm+dOMlz1UXTCB8rKq+VKsH75UE7KlDKUEM6E/G6FXvWwLcLtEMnG9bArIt/iaqXSzCfz4Ca8w+LDcXVyK9rJG0zss5OYjkz4gCQKB68FTNljsH3dxfOVlQ0AQrrbILSMvF9ptUVxNVPrvaPDQDdRyB5PqQbPN0IyXu42FvAwwkBIMJuHQZGvfbOVKsMW8vJw9HdnMFNrLGk230yovG0KQMNWESzRZK5a4kdu20uTIpF/3WHblqkEo7xN3wsvRa3dz+vq4SFTb6geysKK6PynI5NU9U9KGkRQcnWnt687zsoAf7VGpzgoT9kJdp1Ffchmc7qpUetk0DGbzajRjMCmYcyVOuBjJNiBpGZhCZY2MSkPVcy32mpeXW9DcGUeU/hCq575+cMwl60oyrmTfaY/TcxLXL0b0BoDrSwwDnndOguG0utAKUUYdfC+V0SReUIxkaYSoYfMCJaqBRPE1Fqq70iqilHbLgeFkMSWIJSBpFgdmDUPdRLW6ll7p7pImpO1iFHKU3jNhFVcCVaaKWo7YpnrPz9ic5FnbE6RtQZ8tWD9s8bJL0oz2GSQtGO03OGuVxdO2JDh3jTnvu7UYAjUxdNaoyTmrLYbTKjXWxiGDc1Zb8/ZXemMRBCBDyyVKwn6OTfvsGluCnKsaTYeJ42XHA09K9pz0OBV6OQiUr3wfvEB5e+OwwTmr1Hd4KXRS7bue82TDmRF62ctGl90xx/Fypg1NbnT6DFSWlYDwnlKo103Zqo5a5OVWr9TtNmxT1ZldO2Rx6UZbe1mj6VIWcvNsXoZlU9TkzHd35VT5HlkMAgVVy64/AVtGjCXzcmXTYaCi/yvr0cchCvCJBqlMQ3k5GvQNpIrgN8KNo7TNraQpL7f2UJrGNhbwslDp7w83MSFbSxule7SMxb2c7rLsuK3sv0uU57SXNZrup1VeNgx47jmJQiZI6KyfK5sOARyZ9Btq26odd9Iq+s6XYMj2ejma2G70ud2EGfZFpVQeHkgIgqBYqiHvwVgTE7JxvGyKWl4WDCSLi9GWK9W8vH3UZEVaIITg7JUW56+xWNknGEgqP191VpLz1lokwlTGcelFL/fURz8xMcENN9zA8PAww8PD3HDDDUxOTi74HCkl73//+9mwYQPpdJrnPve5PPzww2Xb5PN5/vAP/5BVq1bR39/PS1/6Ug4fPlz4+/79+3nDG97A9u3bSafTnH322fzZn/0ZjuOU7UcIMe/nk5/8ZMvefzV2rLdZN1TshVXmvr58i43rS3KeJO8Va29AMb2OF8DpOckd+/JIWUwb2MkJxaiOaeUF6QXFGi31EA38FlaTBPNr/fjhH9tV6LuZfXZylexijcC2EVi3wuK5ZydIJ1Qth9WDJttWGqxIqxGJet5rwqyIAGNxeQcS8i6Fzyt6TUMI+hMG20ctLl5vkeyCHBDtuhHxpZqsMYBf7MtzcNLnqm0JNo9aWKaqEf3Ci1NcuM7mym1JBlPqkz0+LRtKQy4lIARP35xgpE9ZadaVnLvaYrRfFN6nICqcXrzpSdmC0X6D1YMGa4fUcdgWYXqILlhSoNG0kcW8/Pzzkoz2G8zkpJqEDYrpXSSqo+n5qpNweNLn+Exjnbpmqellv3j/UA+97uV8B8W82KlttZerDfIv6mXUtR1EAyOy+Bn3JwwGEoJV/QbnrxFLPjHbTi8bQL8t2HfK4/6jLjs32NrLGk0XspCbt6802ThsMJdXfeaMoxrR6Hsa1Zp0fNVnPjgRLI2Xq/SJRTiQ5AaNpd+TFAcnvQAyTvF9S2DGLTrZC1pf2qhyd/Wc125quQYTsH3VAl4OiXv6qnk51smR6nMKFvDy2asMVqRiHkjM42uUdgQ3+D70WWgvazRdTqu8fGo24Pu7HdJLlAdUUJ5GXqD699Eio3qJ+sp++H7zXrnv5rzi2EE7vFxJPe9hKSfDK0mYsGpA8Mwtdku8bIrylNGF1a6LPM+v4eW0LUiYBmetNFnZLxhOLrKjRWiVl9txf1vq5Tv2O2xaYXL5tiS2BeetsXjmtiQvvDjNllGTK0I3+76q+V4vveblnpqUfdWrXsX999/P9773Pb73ve9x//33c8MNNyz4nA996EPcfPPNfOxjH+NXv/oV69at47rrrmNmphgOceONN/LNb36Tr33ta/z85z9ndnaWl7zkJfi+GoHbvXs3QRDwD//wDzz88MP83//7f/nkJz/Je97znnmv9/nPf56xsbHCz2te85rWnoQKDCHYuckum8mHYu7rA5MBSVMUJFHZYJd2uk5nYCLb+ajfqCa7H5TLJhKRUxIJFZdqm1dbyVmZ5xzC1YitrsFGcUVnt33pDAM2DNb++4EJODnjM5Ayue78FKv6DcamPI5MBKzurz9S3PGLKRog3nPd8NqIblACqa6XnKvywD99i92y9MndFt1Viidh1lEDJk+c9HjgqMvhCY8Dp33u2p9nLi+5ZEOi0MG855DDdC4o1Eqwqqxaqny/URR1AOw56XHb7hzjcwF9tsBxJXftdwo1p4Uo70zbpmDjsMn6QYOZnM+RCRUevmmFyWDC4MS0SlGjO5qa5cxiXrYMg3SiWHOsWrsVtXU5T3m50/XdtZeXlk57uTKaVxLv+QHF6yOKAM65kowTkEoIVvYJnjwlkbJ5txYiWRugnV+frAcHJgLyHszlJfcf0V7WaLqRhdx86aYEfUn1zStdjQLF72Np/dBODIJWYob3DNX68gHF+tbNUsvL1cbFWr3iUqBqgDWajaOdmAYLDvjPOnBqtraXU1Z9Ae9VvRzj+dHnV9lfjry8qt/gyGQxzWejSBoLnK+kHYsAPKnq1uVKvDyXC3j8hM/P9+a0lzWaLqGVXnYD1Q53CkFJemHK3Rz9Xq1P2wjV9hG00cvRWG103k0DhtOirbXlG0Is/H5dHyYykidPe1y1LdG0l31Z7uHIy3F3Uc3LtqWc4HrqGm6Fl5v9nNpxe1vp5Tv2OTx81GUqK/nFPuU7Q4iCm+855LD3tEfKUk6OxgEqx4NK32o0ad5rXhZStnqxe3t49NFHueiii7jrrru4/PLLAbjrrru48sor2b17N+eff/6850gp2bBhAzfeeCN/+qd/CqhVsWvXruWDH/wgb37zm5mammL16tX8v//3/3jlK18JwNGjR9m8eTO33norL3jBC6oez4c//GE+8YlPsHfv3sJjQgi++c1v8pu/+ZsNv8/p6WmGh4eZmppiaGho0e0DKbnvkFtI81DKuiGTp2w0uX23w2RWXVQBFFcZEn/grR2UpkZayovQoDioaBvw6xcleeKkx+7jftPHFQ24J03oT6ozPp2TZSkTlppakwKlWAb/P3t/HmPZcd5349+qOstd+vY6S8/ePVxmSA9HohZyKOmNZImilTe24gSx4RgREMOREziOoUSGEcNG4DiIjCR2FCBGEMcO4iC24yRvoF9+Tn6RSYmWXigiKVkmRVIiOSRn32d67773nqWqfn88VWe5fdfu29PdM+cLDIfTfe/ZT33qeepZcOqgi2MTAv/7+01IRU5yrdNF1g3t2zwDnKUltQc9XsbISA7i4TlI+rkm2y1roCtNoBrxGWb2ODh90MNKU+HNWxHurCos1hUYp88cGBW4siSTmv3t5JnSW0Fss5GpV4dgDILb7DaNUOrk3bF/Uw1+Bteh0pnJNp185OORSYHTB72e5zjoeFio0FZo2Fx+z2EHr1yJcO6ORCR1jsvAYAErw9ZWc7nfsfV+5PKg3NkqLttjsQfU1/1ieaOWMepxZBcKBt1ep2Pa6VzOvrutXAaAG0sx/s/5EEGsIThQM86m5SaVMC+4XKhQf9rIc9iNzftHObTWOD+nqE9bi80s2N1fhLWyVSu03hpG9Tu2WoeY9R1UPeDjD/v42tkAK5t0hO8kLm+GNYIDj+0QLq/7vuEyGD1TkSmjuBlPoD2mne5NtKUrFegaPLTfwQePUkrSRrnMQSUS7WcKLhe633U/cnm79p9V1qc/TC5bCQbT4pChESk0o51vj7Wq5AAzUw7O3YnvfS4z8p0M2sv4bqtfLjscODTGcX1ZUaCD6t4/2TX83U1c3mnJAR31wgsvYGxsLFmQBYAzZ85gbGwM3/zmN9t+5/z587hx4waeeeaZ5Ge+7+OjH/1o8p3vfOc7iKIo95mDBw/i1KlTHbcLAEtLS5icnFz385/7uZ/Dnj178MEPfhD/9t/+WyjV3ZQIggDLy8u5P4Po9et5iLXWvv7a2yHVTweAlqgJxihKYDvkcCQ1/7dtUZiT8cc4jaWTZYaPPuTh8qKirI4+o0y6XUJ7bhbYduFwOwzMTqfSz/UXHHhkv4MXzodJxFcQUznHTd0/nUZh9Vtyq+a3ROVqKoGZnRRlI9daJRiBOSuG/DXaDRONbNR6rIFAahybEFhpKnzjXBNv34qx0lSo+NQ3oRkDFxdkT2dDqFIDk4E+vBpocK5xZtaD79B7U3IYaiWO8TJHzWcomf6+ngM8eczrWr711IEd1syoUKGMtprLz58NcHNZoeIx6iHSMlbdy1zutV3GUi47HKi4wBPH3HuSyzbrqfW4+v7+VnEZdFwOI6O1HzRnewMDAHSeUdYw6sRlhvVZKQ5Lf2e3sdOVfXeyXAbIwPzaOwGaETl+OQOWGhoLdZ0Yj51UcLnQ/a7NchnozubzcxIX5g2XYYJGzQtnx6ftSBBhNup/CxnVa2zlLNMjXAAzkwyTZYYjEw7euS3RiPPl/DZzDNvN5U3fY71zuOyJ9lyOVSajWne2mfvl8k5fkAXSzHZtrsHtVYmVptoUlxXyDn0GU8FLajx2yCm4XOie193mcrbCFAP5DrejPYrlcmvW7nYchw0O2SiXK30MMcysPAYxZTlux5C/2Wtc8YC5VXVfcJnpnb8gC/TPZcaAS6YilVS9E7kitfu4vGsWZW/cuIF9+/at+/m+fftw48aNjt8BgP379+d+vn///uR3N27cgOd5mJiY6PiZVr377rv41//6X+Pv/J2/k/v5P/kn/wT/7b/9N3zlK1/BT/zET+Dzn/88vvCFL3Q9r1//9V9PeuSOjY3hyJEjXT/fqtlJJ4EX9aorJQ+R5wCnDjgIYsrEsdmIWcPnbvVIG/HyA4hUJopjG3uAKgX4LkscvcuBxncuhXjzRoTz87R4lWR4tJH9eT+XMFbAaqDgtwzYDOsdzL0qNg3qHLCDOt/E215ygK+9HSCWGq4ZHIcxA7HP4kiJJhT9aCUkoNnnyTpBs+ASLXCyYqDSBMcmBcoug8vyx+HuwHJZ/cie57cuhnj1WojFuqYyZpLKQ0iVlsroFllklZ1kMkbXZ7Gu8cb1GE8c8zCzx8HTJ3wcnRT4oUd8HJ1y8MkTJcxMOTgz42OsLLqWb+Wb9d4UKrSF2mounz7gwnVAvXFauAwMx0joR63lbXYCl7VOuSsYGU0vXYjwRp9ctuqXy8tNBYfr3lzuscNWJLb7eOvPfIcWVjcql28NlwHazkiJjq8XMjioXJh1UgApl+21FMaL0q5HMUD7qZp5osvp87YEY7vAhd2gLJdvLFH/HMtf2zM6Mmzux6ldcLnQ/azNchnozuYRn6Hqr+eyLUt3N7mcGyNtRhAffgn/fmWZax3ilxYoi/X8XIxzc3Gup/hmNQiXXdZ7n1ks9nN8m+Wyv0X2MoCBuAyYXoYduMy5sbtZZ5u5F5e3K4Bws+IcWAuAb5wL8I3zwaa4bJV1lDcijRfPR/iBA07B5UL3tO4mly1/ssGeTdmfX2uzEma8S95Gw2Xrj92uuBTH+Hc3ymWO/IJTJ8UKWKwrcGwPl0ub5DJAWZBSpVwe2tC6A7m8U6pxDqJ+udxvZU1gd3F52xdlf/VXfxWMsa5//uzP/gwAwNpcAK11259n1fr7fr7T6TPXrl3Dpz71KfzYj/0Y/tbf+lu53/3Kr/wKnnrqKbz3ve/F5z//efzar/0a/sW/+Bdd9/NLv/RLWFpaSv5cvny56+dbVStxnJnxcWRS4PEjLgRnePyIiyOmQfKdNRp8XE4P9VZBw2adtpMta1d28gOL0nRM2yUNKk1j6/HHinr3NWNTIk53zxjq51pmzzeU9GfET3vYUUQGy32uFxvHy8CoT9/tJ7tUY/BBrFWrARBE9E6UXTrerLGyGYcpY8BKk655P9J6fZSMdVK6Is2uKrsM42U63jGf+g34DoFzvq6psbqbXkMNKlWwGRuz3eQk+7utkgZNqpqRxpqZuGbve/ZZ9RyGyXJ/x6XMtpUi4F9ejHFxQeLUARcXFyRmJx04nOP0QQ+jZZH0AFBa45Ur0bqJXhgDr1yJoHZDWHWh+1ZbzeXpMQcTFSo2tBVczho6ncYjbgyC1gCfYfT+3KwiEzwSSBM9qk1Eax9cHlSx6T9UcXtwuccOKx5woMYo25i1P77Wn9UjGls3Kuovrrady8nCRZsbww2XD49zlF2g6gJlj2HCsLnm0e/LLlW8qPoMExWO0VK6DbmFz+Td4vKr1yO4PJ0PZ/tAWcfOxIBctpHF5+djXJiPc/3xGiEKLhe6p7RZLgPd2fyR4z72jghsFZetunHZOvVs6blEmhg1jH6xG9VO5HKku++TSt4RczpxuVXNeHNcrkc7g8tAZmGxHZc5cHCUo+qSgzdrM/fL5a1CRtaRuhVSCvCFxmpA5bG7cXmy0v/igTLJDkoB9UjjtWtRweVC97TuJpeloqoxW6FeXAajv7MJIUB/WaZbqc1yWaG3fZv97GpIC6S7jcsAsNCgPZVdUw0l87vN2IIaxOWozzWN3cplYGsDpAficrXzovW67e4SLm97XtjP/dzP4Sd+4ie6fmZmZgavvvoqbt68ue53t2/fXpcJazU9PQ2AsmEPHDiQ/PzWrVvJd6anpxGGIRYWFnLZsrdu3cKHPvSh3PauXbuGH/zBH8RTTz2Ff/fv/l3Pcztz5gyWl5dx8+bNjsfo+z583++5rW6qlXiurrVtkAxQ9NHNZYlAAr5DD/lGgZatV0/7SQd8aCBos90kspbRQK5B/z/qMywHekeXvBkG99c7YTX21zgOjDJcXFDwHXLY2Z4k/WglsAuPdA03chyDSmo69opLJfNao9I22k/Blm8c8YClZn/fsc+UzvxbmIWFmsegAJRchiePebi4IHFsnOOlSxE+etTFpUWFlabCxXmJEZ/BdziUVjlHh+dgwxM/jc7XYqsfdakpCujwuEAjUAiC9Z/xBE2g6iGBP1tespPs75mm+3V0XCS9P24uS5yZ8ROwWbUrRWPBdmNZ4vXr6KsWf6FC26Gt5jIAnNzn4vKCRKQ09CZ6pmW5bINTdGby2m48smVkyy7DWqjTSgGCPi93cMmbrbDHpfGCP7iHb5jL9QiQSidzm34H/M2ez0oAjPkKq9H6wKuNctkaqyMebb+X7LPn8rT6SpbLFZdhNQCOTjjwXIZjEwJv34rhCA3GOGYnBb5xLkQjUmCg83A4A4NOty0AvgUOmbvJ5csL8bogKYDe2RGfoRHpgbicGKKMmC4VGZGd2FxwudBu1jC4DHRnc5bLwMaDWS2Lc322kbK6E5cdA3TraLXjqNY0Fu9Uk3mncllqoBkzlIQZ6+4jLlsxpOczbC47JtBo2FXXNMjm3Cpp0DWcqJCjdrHZhsugRYN6qOEKep+7ZZRp5IOgGYCazwsuF7qndbe5bMfyDdvMG+Qyg0lQUOn3XEG23/3EZQ2anzy4R+w6LgcxAE3VQ5XO3+/N3EMO4vLqAP17N8PlFy+GCKVCEGkIxuAIDs5UYhc6nLbX7DN4axBt5bpNv1yueFTldMSnUtr3Cpe3PVN2z549OHnyZNc/pVIJTz31FJaWlvCtb30r+e5LL72EpaWldYunVrOzs5iensZzzz2X/CwMQ3z9619PvvP+978fruvmPnP9+nW8/vrrue1evXoVH/vYx/C+970P/+E//AfwPmrBvvzyyyiVShgfHx/0sgxNNvro4X0Cx/c4EJsIcbAlkCtumvVqJ+adQOYaY3LNDFQM9NAtNXf2guxWiDFqkh7GgNQMVY9KywLAkXHesddaq2JFYFlorF8cXbfPTR5zVlLTfWuN1N7MPqQmw6sZM4yVOn/OLsQCtDCYfXQYo2ghwRnqkUbJAZ4ypQdmJx1861KEKAbevaNwdELg+pKEVJQlLVX+OXQ5LVQ4rfX+d4kiCXzvRoylDgZ7ZM67GZsG6AO8g4wBgjN8+1KYgCqMKUunVb3Kt85Obns8UKFC26paiePph31MVTj8TUTaWmPSRvS7ortxwQCMuDRhX80ERglGlRx69dC6F1VyqKz9ZrisNRlA/XAZWN9PdjNabKb9Rq02s22F/ricVS8uu0LjxH4Xpw964IxhoaFwdZEy0hQos8hyOVYaK0Fa2slyebdW8Uu43MbABOjZWWwMzmUNU+qKUx+e5882u7K54HKhQt2V5fJYiW3YDrBcLjmU7eD1yWXA9Kg0cT227ZDtgXY/aVhcXqhrLDbvPpeXgvUVyu4Gl3nLOWSv1VZweavUb/bWRiU1Vc1aDdsHQWnk7eV+5sbZR0ww4M6aKrhcqNAmleVyxePwNmEzKz0Yl60f21Y7zI54QXx3SifvJAlOQaSb5fL8msbSNnA5lMTl7LrFZrfNQVwe7RKbwDAcLld9jhGXITLZ0GuG0dnKEp5YX510WNrqx71fLi/UaT5yL3F515D+kUcewac+9Sl89rOfxW//9m8DAH7mZ34GP/zDP4wTJ04knzt58iR+/dd/HX/lr/wVMMbwuc99Dl/4whfw0EMP4aGHHsIXvvAFVCoV/ORP/iQAYGxsDD/90z+Nz3/+85iamsLk5CR+4Rd+AY899hiefvppAJQh+7GPfQxHjx7Fb/zGb+D27dvJ/mw27h//8R/jxo0beOqpp1Aul/Gnf/qn+OVf/mX8zM/8zFAiiDajWonjPYd8zK/FOHuzcziBYPlByhN5Rx8DvSBNU+I1m0reKtsDjHNAmxR0++JsNEp0t2vfCE/KNc+vKXBOi38loXFtSSXRW3ax24pj/SDo8P7KWA3zUreLgBrGgB9rgCndNcJoxKNesvbzrQ0Dw5giZ+qhpomCT0d2bi7GYkPDd4CrizHevh0ltfyVpoE9e43ssxnGvTNVNqrW+ztM9Xq3lPUUmb+EiQDsJ8pZa8qW5hwQxirv1OzcBoOcn49x6gDV3n/8iIvXrxPIWjNrCxW6HzVaFnjimIsvf79z2kN2vLDRlO2MGKmofE43A8dGUIbK8Jnly6Dej/IEUPE4GLpzuTW6up2cDvemnZSmBfRwkxkmnY5ps7fTcnm5w6PJQP0NbYWUblxuRMCIzxMenJ+PEcSUQXp1Kcb5+QiNOD2f5abOnYN9NreKyfZ8tovLyOx7UC4rRaXCpLk43dhccLlQod6yXP6TN4K+xpx2XGYgrgaxaR9UcHkgDZPLnPVf9vle4LLL88ffeu67hcs2KGErua90f/daafJ7+aL/rGCpKPARKLhcqNBmNVoWODPj4fm3g66Zca02M2frOdoPl11OPuxYkR/W5TQO2PH0fkQzAzBaYmBgPbmcVNLMfLf1mvU7vxkWl9HmGIZh+/VlL4vhcPnWaoyFuk4C/4IYiKTKrcmEcrjtJNqdz1Y+/724rDP/ozXNm1WfgYs7mcu7ZlEWAP7gD/4AP//zP49nnnkGAPDpT38av/Vbv5X7zFtvvYWlpaXk37/4i7+IRqOBn/3Zn8XCwgKefPJJPPvss6jVaslnvvjFL8JxHPz4j/84Go0GPvGJT+D3fu/3IAStiD/77LN455138M477+Dw4cO5/WkT0u66Lv7Nv/k3+Af/4B9AKYXjx4/j137t1/B3/+7f3ZJrMaiWGxJ/8mbQNfJQmuihUNLgARCQVGYRC6AXoJt9Y41R4VA0ymiJoR4CcesIfZ9psaEwOyVwe0XDc4Anjnl457bEubk4KZUl+Pqa+e0u2Xb2FWonxxz3Rg5Lg86n26Ox0mHB1jozGNLewGGk8OwbTZyZ9RDFGlprrDbpw7ZfoszAKyulgfnG1jykLqe+g7HphzvsshL9QlIw854rYMRjmB4VmFuLcWu1+/dsQEUQU7Z8r2bnvcq3Fip0v6sfLmus57JGGy6je2lX+5YKkXKZ+mzcx1CGNco1NBj8AbjcbrwdJGJaD/j5QWUXCjjbmCHbi8sa7VtW2H1bLgMMIz7DYkPi6pLCWlPjA8eoFFkoNaIYycXM7qs1WGqhobdk+sgB1Erbz2WA+gTFLVy+vdr9+xpmDGD9sbngcqFC3WW53MvO8gWNkQWXh69+udxPVYFB7OV7gssdtrsbuVwPzcJsD/9Cu+D1YanqAiWXwxF0XXikEcreCwqD2MwFlwsV6q7lhsRXzzaTyoudZFvmAWkCi4N8tYleXLaVf5jJ0Cy5xOV6dH9zWQNohBoVD/Ad1pHLHBSjm+XzOn/rgPvdKi7b4xIMcET//dpbt3E3uZy9rjZhLqvGkO3Y7L5GPLKT7Xx3u7hc84CpqsCduoLLNAJT6a3XvGonc5lpfb8Vkd3ZWl5extjYGJaWljA6Ojq07T77ZgO3V1TXSSSDKX2ogZrPEEmNtchkbzIzyPbxtNjIJPsPDor+WAn0lkY87gZVPeChfW4SZSGVxrNvNrBYpxr3rikLsWhKIHJGJa1Ww60vGbBRCQbsHWG4vaoHjuq20S0M68+vkzOTITXWtFmIdTjgOgwu02jENCi7HKh61P9m0fSrtUEGnQ5zK6J/GOg8R0sMvsvwgSMuXjgfYK7eu2yK59iyGJ0/O+ZTeXDbI6GbBANqJQZXEMw8oRErhhtLEquB7tmvz3eAqoleByi66PEjnRdmN6utGg8LFRpE9zKX18L+ygfdyxIM2FvjeMr0FLnfuWz7FA/EZUaLE9KU32XGkTpeYdhb4zh/RyKUxOqJCkMcaywFxrhs4/y9G2IAxktAyeMJl+cbvTnqCbq+vbgcSDL8ep0XA73bVZ/h0QMOvnc9xkSZ4daKRixVx3YEVoJRmc+Kx+4KmwsuF9oJ2k4uA2lJPbuQuhpoyphA++ycdiq43Fn9cHm8zNCMTEsk87Ot6HE6LA3K5VbeMgyXyxfnJIKYfj5ZAZRiWA500s8YHba7lbJc5pxDcGDviMbbt3VXZysD4DDAdejv5Q4LNzUvdcj2c/1rHjBS4vjgMQ9v34pxZ1VCagatVNt+d626mzZzweVCO0FbyuVVlfj9Ookbjm6Wy9b/FqqCy60a8Rk+eaLUlcsVj+PCvKQs1x3OZQYaqzmjHsH9fH6YXLZzQEcARycELs5LRJKe84kybSnH5UyS0d3ic8HljWmQ8bCoiXGf6MljHkpu6rCxA0irIpX2Ds1mDAxSRimJ3DdSGkNfkM2ehzvgU9zvK7cVy0yP7KMa8bUSh9LUZFophqrH4AmGisugNcPRCQ5X0MDjOryvvm6tx5sz9rdQrqC99VvmiyEdeGyZC8bzfXBEl3vKGRDGjCZcSCOUpKRFRQuISFG5h+UgX+qgm7YCbhpU2mKpqdEMFf7POXL89nTUGuO50cOpuxTQ9vu5/o4AlNSYW9M4Pxfj+rLGjSWJtbD3gixnBDE/U1+Bmp33MYMpVKjQOm03l9fCzXO59Ziz/z8If/r97FYgreazxPE7KJcHPZ5O93jYcgXSMO8esuzNOmEH5bJgFKXqcNptbCJoFxsat1ZU0v4gVsByg7hsn71B53DDkgawHCDH5X7eh7hPLvezIAuQ80cwjfm6wjfPRVhqaJyfk1BKdSyHZWXneRWPFWwuVGgIslwWmXGxnX0lDX+XAw3G0oxBG4nfjwoud1Y/XI4kw/QoR9klR1vNp98PavvuRC5bW3ndszckLs+tqqRFldLAQp0yweQ2LzpYLiulEEuNN291d/xaKRBzOzl+Aaq61Yj6ez8Fo7n3WlPhf3+/ifNzMVYCDW243GsThc1cqNDw9OQxDyWHUTCyGfzacVkNictRbNoJIOXyZgtYcHRm6kBc3txhbEoOBz40092PHUmGksPw0F6BirdxLgMmg3WDcO73a5wP8mkzX2j5+Ga4LDWxphkBlxZk4tvRAOYbwGqY5/J2BExtlMuaURWYgsu9VSzK3icaKwt84oSPskeDAPWFpN8lDmEGcJ06eqVeP+j0Kws/pWgH/W7G4cBYieUaVlddoOwylER6vIzRH43hlDSYqrLcMbqcSsn1c9y9XqKqib4Z8YCryxIrTTrg169HSZNpwRnGywyMUQGDa0saDmdwBIfWuq/InVYJfncG7EgCS83+boKGKQWZ+bd1PtheSoKZ6KEO21AaiJXGYiOfWhNIAlpWgSkxJAz4+q05vxWiRRVgoQ/Hr51YDrtMtVTAqsmyC2NguamwGvYHVvvefewhH5NVTs3oTbNzpTVevRYmz3ahQoV6a7u5rNFf+b92XHY5lVWeqqaGFmfkdLSHN4hjud1nN8vlbp8bMe1DBKcoTqtBuTwoTzij+7zVDuAgBsJY97UfpfPzhY1wWZoI3kCuX2Sw/W+SYzNcZqBrsZ2dLQblMtD/c93vOUlFRmkogWakoTQZ4Et9GJj2eBgD3n/ETe6j5wDHJkTB5UKFBlTKZYZRHznuJQu1LM1SkIqq1Wx0UN8olwEqoVx28/MGX9xfXL4wr6DBMOLRjdrIovZO5LIGOXrbncowuDy3ll9kkDot328dytvJ5eWAstx6LRLb99HOj3up33NSIP/GakR/h6Y84lLQ3ztkj6vgcqFCm1fCZZdRYOwWc1mB3v04w+V+Bw/L5bLhGQPgcaBWZvCzvuzs/gbhMtb7ni0PsrLXpZdEm+/mto10QXm0xFD1ae+duAwAN1YUFuoaZTOBqke673lNbr+s/8X0Vmn0d/5SAWVvgJYCDGCZY7LPxka4DOTbXTSi9cdh/y2Mj2i7atxuhMux6l4q3KrgcrEoe99IaY13b0uUHY4RE81S9UwzbpDRWfOpvCqYLYeWlmnbqDTSKKOsOm3SFTSwl1yG41Mce0c4Si5HzafSbCXHAFcb444NbjS0+7zWwOxUmsouNfDegw7KXu8B3elxjUJFpRx8hyOMgfPzZPXMTjrwjNE5PSrwwWMeBAfqoYJUGh7XqEcaTak3VPLBlgW2EgwQg2+mp2zJgX7VelwAUHIYaiUOV7CesLEOC+vIZS2/a3uMigZdalBP4owWGrbaCM/KZvb2krdFI7NtiA5zHLHpU9nPMTEGaKXxytUIK016IGseR8VjePlyhMvzEi9eCApDs1ChPrXtXG4xGgbh8miJ44E9Lg6OC/P7NJhkWNosl61x1O6z9ZgWlcdKHEqxu8plW0YwK3fIINKgbJh+jbfNctnOy6Dbb6vTMTocODLBdwWXN/POdVNSvkqnXPadPg1MZgzfWOFr74SIpYbDgQ+aXk8FlwsVGkyWy76gAJyqyUK3fPME9VPzHXr3hFmUnCyzu8Zl61jiHHA4w0cfdDHiM4yVGR7cW3B5UMkMl3MLzjuAy60aFpc7fVWDnsHRUiYjbTu4rPtz5o6Xhvt8Z5UNULPlIvtttVBwuVCh4Wk7uWz30eu9b+XyJx728ci0gz0jHLUShy8YJRk5mcDrDR5X68ihNXBsgicLwQD1zPT7CJiyc4VO10kz8qGOlzkYenNZa41QagSRQj0iNoeyz3Gz5RzbBaIPwuV+0bA0AJd1m+1yjg1xWar1173tOgUMl8sMXsaZb8su3y3JAbi8VYvH2cBFZa6jDcbopZ3M5WJR9j5Ru2gWR3DUTIaOKwggJZeZCT/D8SkH42UOb6N1A4w6Nb8WLB/pxAB4gqEeajQijZsrCu896ODIpMCHZj34rokwMpEorZEq/aiTcTtf17g0r5JtawBv31H4oZNlHB7Pl5f0W1Y2Y9k9GkeBIl8AYLLK0YwUvns1RNWnJumO0GjGCi+cDxAr6oM6VqYIGq2Bisty+xQMuQEZQJJFnNuvzg+IUgOK5csrDEvZmvhWDLQI3LovO2mh+w3sGWH4wYc8MORLjXTdX2YbgvcPpGask2OoegxBrHs6P4atTtcjq1Bv3gFccvKLu4JRtna27xyVZOm+Hc9E/HEGajQfaYSStnB7TeL5s81kbMkGHRQqVKi7djuXHz/i4oEpF+NlBpenQVJ9VufL7aPdz4bBZZtF2CpywNI2hsHlMZ/G3F7nlQ0qyv2cDX9Cbvu1Zo+DoX3QTzsuf/qxEkZ9hlj15rJu2UbfZS81cHFBJccwXiYutx7bVqvtM9jyQ7mFXC4bLwNjNGfsh8tjJZZEuEeaxoxGTJz+9sWw4HKhQhtQlssAUPYYqh7HqG/sDU7jf8XjKDkMIz7D4XEXT58soewNn8vtnLca9N4rTRkoL12M8NQxFzNTTsHlDXAZSBcts1Oru8llX6w/tixLOQP2VO8OlzXomtoscYeR/Zy9Z1vN5U7n1vrcrISb5/KImw8UcDn5VaqZBQ2NtPxzJ3GQk9zlBZcLFRqmtpPLsVpvs/XD5T99O8CJvQ4+ctzv6MselMtA+/FOA7iwoBBG6RgZKeD4pJPjsmjDNGmyDW0Fo3XbbuGy1hpLDYnz8zE+eNSF6wAHRoHnzwYIYg1HMJw56iLWNO4xRrZd9pp1XABGfoxvF3Bzt7gMEJfXZSUjPUYG8pH+1feUMFXlAHRXRgB5Lifb7OMh0KDnyh6kDebN6m7Yy+3Uut+VcPPrDZ24XPNZrvpLrxZ+u4XLxaLsfaLWaJaPP1zC9KiAIzj2VBlqphQBA0HNGjFBDMghhyDa9P6x8vo+pI1IIzI/rEfAK1djnD7oYbQs8NgBFxIMIzaTyBiv7RYku8kOEhSNm45ncSaalEosKbx1M0IzYsnAqUGQy8JEgQzD1n1YaW16hnFgoR7j3dsSb92M8Z1LIc7eipP+YQt1DaVoqOaMgzHKDtaa4fC4SMoJOW0WIQPZwcBtc/6tINioOEuPQyMtL8Eyv7dR0cz83Bp42vx+ssLxoRkPz78dYrGuEcS9javEwGR0TaXqLzMnjNOMXldQmcDmEMbdQS9l6z3RoOctWyINmp6rzdwmDaDqU1Seaxy4juAIMw7vdtFeWTEAIz5DxUvLKa+EVF4xlBprAS3UWE2PCpw64HbeYKFChRLtdi5zRhkbpw96cARDxaVFto2Uo90qLtuy9XYfWSmtwTfJZYfTcbXrH9PpGrQGcTGWGoSb1Touq/z+rBNA9ODyJ0+W8O2LIa4syqRFRLfDczgZypbL/T6eTZlmhnFGXI76jKjups1y2f6w4uY/028WcLf9tOWyncP18f4wAIfHGKTSSdnGilnULbhcqNDmNCiXyy7D6UMOvns1ys2vhyFhgrPKbr4fG4Nt5UL/bsbACxcjzE46BZf75HKncTx7C+VmDbGMenG55CDJoLJO66z97DvAwXGBOysSlxa2lssA2cyhpO1HihbUs9/fyJM+6KXstECQfWZsedHN3KZGTJW0Si7D3hGOqSot7sQ6v9Ve50yBlCi4XKjQkLWjuMwomDLrj7V/t3L5K2cDAOjoy7aZ9/2OX4Kl9pLlhP2u0oBEuoDMGfDQXoGFRrr4K9vsL9apbWivVCcurzQlLs5JfOWtAJfmJf7P+QhhpPH1dyM0Qo16qBHGGt+7GcMVVAGs7HJMlnnS5sB3TH/1DufXa6FxWFxmyHNZtXDZzn1sRrbD03uefIYBD+1xEETAlcW4L79yK5eB/tlsfdnZOeBWc7mfxUL7TFpZLvNNrDR24rLD2brM9W7nvVu4XCzK3ieqlTjOzPhJdovgDI8fcXF4gqNWEutqgy81gfNzEo1o843NrRwOlJ20BEQ9BMYreYcgQJEMytRb11BYadKfl69GkErDdcg5bReUmgOUKkpOhZGxsRK0/33No7rp5+clNFSuX08rL1xOTutWMGcH9TAGVgKNxYZd3NJ453aMd27HiOy5ampMr0G12ssu9fys+QwjJQKb4ATPWK6Pzuq3lrodOPspkWvPt9N2rIMyCygNiqr1HCrFaRdQrdFpM3iVJuP8/5wPUQ81pPlyu+ctG5FkB3hrsGYnEO2yde1ns9cnklj3zLfLQO5Hw/Cla+QnVhrGibKJbQZx2sPBRu1prXsuxLYe13JTY6meRgnPrykEkaYya0gXuj0HeO9hF3wYK/6FCt0H2iyXh/GmbYbLAHBjKcY3L4TwBMA5G2h8sdoqLscqHdM5Q1p+zvw7VsBCXW2Ky2MlDt9lWArWc7mbsrfWHnsn3rbqbnD55cshzs1JMtYz22gnl6fnw7G+JH7rsSbHxvLnblshZOcArefRr3pxuW/jp+U928jznVUnLped9c9wl0PCpUWNZpQ6WJYauuByoUJD0KBcDmPgq28FOD8nh28vK5M9q9twOTMYcQACOim9NiwuW+fuvcjldtejrf2J/vjDsT4zOLuNXlz2HCpLaIdqR2TYDDqPI+McX3s3THjb7b724nI7e7nipkFb2T53QPs2VL04Oih1WrfX7tza3Y/N2stSkx+n7DKsNLUpMU1cHqQ0ZCCBRmgy61BwuVChYWmncLnimiy7iN5xV9AiT2s5VWA9l9v5srNjeT+SOt8GR3YY+xiIRy9ciCAyn8guRFqNuOsXmLOZwRxZLmsEsUYz1lhpKiw2FFYCDWVOJFJAIDXCmLYTSY1Rn6FaosXZksuSIJ92o1+782nn7+iHyxwpp9qxKtufNbs9az96DrHZdyiIVoMWUS2XrVYDhWffCpKqmN3UyuXxcncuA+mC4nZxuR+1ux+2HcdG1YnLwGDVMXYLl4tF2ftINnLWPmycUUPu+bX0jbFRSL6gTByt9ab711nFiqIerNMwiGmxJ/vCJgM1I0NPa47z8zHeuhlhsa4QSmAt0KhHG5+AZ52PnRYyFwNauPMcQGmO0TINpEnZZJisIh94cK+DiQqnPjk8XRz0bI1+TlE2ZZdKzdlsiGy6veApaJeaGgoaS02NWAFXlyT2jXAcHhP0wrYBVr+OXPu3VGkkVy+1vUQsHYCT/kAZQ1OBrvFElfoa2eirtTDdngZwYU5isaFz32P53aDk5COGtQZczjDiU08JWyK55lN5z2wPnNESle9KDF+RGrHt+jHYxdFeav3Ipud7Guv6LQyjon0UU8kpbba/Gmr4Il+eq5Nz3z7PuuVDNtpage6DLbsYxsArVyKo7epAX6jQLtRmuDyMPiLtuLxQzwetdOLySlPhmxdCNCKNekhjzUaN3365bH8VK9aTy+NlirC0DLAllEoOcYKDshY3w+XpUZGUHexkHHdTlsv9Rsp2dMQOkctv35YduQzQtXFMKSDOkbSSEJzhwJhIsrodTtUWWrlsg5BsMJTdf+vzY5nMee95TqtR2O1y9sNXhvTdGKbacRmgyPteKrhcqNDWaxAuA0AY61xW42bVicss45zULF2crbgwlXCAN29FQ+NyYi/dR1xu/ewg2aWd+tlaJ283Lo+WOWJtFt4ZcWI1w+ZIAX/yZtjVyTkIl2ulfKlnzwGOTjgoO7R/h+Xt4XaXwWlTcrn1vLv9u1X9crn1ngwjEU4qYKmhEErqf7gcaHhOf1y2771lsz2cgsuFCg1PG+WyDUrZLJtjRYuxgTRMUub/WwYkaQaBLJc7+bI3Ksvlbr9fCYGVQIFxlmR5+mZ8t77qMR/wXI7ZKQeTFZ5wGTCfN75sy2WAJT7VpGIGUi4DtMi1E7is0NnnC9Dx57jM8wtjDAyjZQ7fpcAvpddzWWngwrxCI9Qdn6+ED224vHfEwZFxnnzGVlCy2+IMODohdiWXO7XJGkRS0aJ3YLi8FmkEUtPaQB/HtJu4XCzK3ufqVA5CcIbxCvWvO1jjiTN2GMamlYaBWuZnTJOhCQBrEU2GtQYcoemlUlQOopOBOcwHWmqCplIKq4HZZ8aDypjtM0ARQlWfslmrPg2mjFGD+f/rAQ+eCceZqHCMeAZGOo2czS6QSgUs1nXiFI8V8Oq1CGUfqHp03Vph1u/wYY3k3N/pKa1Tu+2WnLTJusOBmSmBqSozEdlIJkC+A1yal4jiNKKrVdkyG637tAOpI1hiuNtSD2SoazDGMFFhKHt2kkALs54ARn1mJgZ0TCMl1nURQ6F9n6N+r8tG5Yn0mR+mBENScz/rUOE8f47tzoUbJwnTZiLmsVykmc2eqniMJnhGN5YlXr++iVlmoUKFBuOy375E30ZlDb0cXzL/XouAiTLDsQmBFy4EcJmGy8n4bd6FVz+IaV+rTY2VZncuhzEgGDHZN4vYjUhjdorj+F6B0RKHADbFZWHmJu2CpfqVNQrtgttGcLAVXM6W6s2eGwNQdliyMBgrwDWZnmWXrtPMpEj6kXti41wG0kXh1mNoVcfF6gHFzXlsBZcZUoPZcpmOu3c7BVFwuVChbVMnLgPU3+7Dsx4mKhyeIEfmRirvdJLlcqTThUybYapBXI6lwmSFY6GuCi4PgctAGmjdD5dbHZcM+R7ijPXmchDROWSrQOX2oTo7owflssMYqia4ueQQTy7MS2iQL2OkxDqWmLTnE6veXB6WGICpCl23YbtMrb8BLOWy0uQc76f8Ytk47WG2I1BwuVChu6F+uPzQXgejPo27m+Vy1kepgSS4Mjsm2RLDWS4P4sseluwi8lJDJyXz7bFbLlPvcKKX9WXbhVgNstGO7+EJl8fLDGXXnHMHLiu9fVzux2fLkFkvYMDslMCeEQoUY3bbLOXy/JpGIzKZqm22l812tguB2X0xsxjbjsu3VhTGyjxpaVM15Xn3jHAKnvIZri2pHctlwPTd3QIuA2lQt33WYmmC/vrY327jcrEoe5+rVuJ47AA16X7PYQeCM7znsAPXAR4/5OHwuMDNVSpHVI/bO/CGKQWCldY0qFxZUrg4FyNWDMcmRdtoDdby/X7Ubzm8WFFETBibWv1mNLblKeox8M4dSY23QbByjLHJGMPUiMD3b8SIFSBMb5+lZrp9jbQnalbZf3JOnzl7M8ZSc/0i5iByOA1mrmCYrDKMl1lS27/m0+DVzsHPzHernnE2OMDsBMeDex14nM6JnBAMNY+cjmuhJoejudCU4bo+u6vTArOd7Oyvpr0UPYdhrERlQuqRhic0JqpkZDYiDak0Do85+LHHK/AdhkhReYIRL91Gp/vOGWXwVDK9mwQDxkvrs2fbQXej2eQMaVb1MCXNO5TtVUvRv72zpG0EOhgByzrRbUQ3M8EUjAEfe8hPJsCeQxPkQoUKbVyDcDmS+cz3zajbZqxjVCrg2rLCN88HVJ5IcCqzOIT998tlqelPKHtzWWoqfVP1OEYMlzUYlhtUyn0YXJ6vby4TiRbXGcYrZPhOVIhXtuLGngoSfmV1N7ic5XFWDtdJlo0nGKoeg8MZGpGGKzSkZgk7dhuXFcg5sRVc1qB3dsRPfxZJuldhj1YcBZcLFdo+dePyYwdcVH2OPVVObWZMNaJhoLntNsyAbLkcK8qKWWjIoXO5dVztpHuJy/a8HY6BuQzQGLyvxnFoTEBwsq1nJ8XQ7eVWDcrlA6MCP3q6jAf2uGhE9DPflOPsxWZPmP7A5t8c67nM0P/z00saVEK76g6nSkzrtoOYkg+slAbeuaNyz2A7MZjsuRhJBRvNCi4XKnQ3ZMsa769xOEKDMZiyxgLjlXQCL7hOFqyGMXx0sw3acfnKguzqywYGP65+x0Eb1CXtYrAyVSo1ZTPO1YG3b8eItYZgjAKiTKJRLIGrSymXqx7DcjNvG+4ULpcc4PhU2rsWWL/QVXKAkkvjb79cVkizn23lxnbX2P69zl7O+DbacbkRpRneSmlMjwo8c7KEE/tchHJncxkgG7ZdC8FhaKmhc/Msqem+rAS957e7jcvFbOA+10pT4bXrEaIY+O6VGO897OK7V2KsBQp/+nYAV5hyPIqyJ+6GsgOa0rT/G8sKwZAatTPQy1krMyw1dM8SCK0LWLa2vQINclIBUlOJjL/wgI9370jcWJYYL9NgGJqG3KuBxtyaHrhsgNbU17M18qWf82QsX3/eFwQjxhge3ONgrqHgCYZ9VYYXLlBZpDGfQWmNxYwhkvQZABnWFZdhJQQmXI2L8zIpbzleAZTiEFxjOdBJeURmooFLDrAcdj9uu8AgzTFfW9E4Nimw2NCouAzXlxUqHtCIGKRmuLIo4TvkpCy51GOCM4YPzXr4ytkADgP21gSWA5qB2MlBu+tcD4GJCsMTR128fiOG1gqx4qi6CqsRMOpTqUdrGNsSFONlZow6igwL5frMHivB8tFxoSSARn0+35222062xFfuZ10oZnlqJ1m+g2RCYKW0yfRhDFppvHEzxuNHXLx+nUBWKxWxPoUKbUaduNyMNP7fcwGkcXo6HD2z6wZRTxaBxohAauiAnKZaaywF6z87yDhlPz8Il1t/vVu4DNB5Zs+v4pAhsK/GESngyJjA5SWJMNa4sSwhFS1goiWb8m5y2UYO23JPKyFlTI8Ktiu4rDSSHketmeDA+uc1lMBoCVju4ZDdiDSA1ZZ3ptvzXnC5UKHtVycuRzHw0sUA9YiYbCP6h2Oxtt+Obvl/BtrvYkNjtMSGxmWAnM+10r3P5XbXpuoBh8a6c5kxneslx0Bj9EJdET8YsdlxgPNz/XO57FJQeK9jdvjmufz4ERdaa9xek1CKYbLKEzZ3UqxoO5NJr2ONWHGM+gorIfFo1Ae1wzCOHQ0bSMYQyt5cblUoyY+R7UM8zPesdQG21+JBdi6nQc7prF+64HKhQndHCw2FMAZiGeG9h13EErg0H+PNGzE8k5mo5GDl6LupV3JDOy738mX3e2jWv1vzGfVz7eOLrXMG+7dJ4ESkgJWmxgN7BJ445uGVKxFuLEsEUlNPUxCXF+uq6wJs233fBS7TQpvGfJ3+f7xMi56tNrPSSFoAjJb65zJA17zaJ5dtVi1A/myHAa7DsG+E3xNczt4XKgOc59+wuKywnsuhbF+6uPVZsetJu4XLTNuOuYV2hJaXlzE2NoalpSWMjo5u+f5evRbi8ny63Oo5VLt7NUiNA0+kTZDvhmytb/tKuObFaUbrDbTNyHdocr/aR7TFumM0b7d9yR0TwXJ0ysGpAy5evx5hdtJB1Wd4+TKBTWoq7WSNJ9tUvbXsRaf92RKSnPU2FLKDT/ajNtpEg7ZXcRkOjTsQQuPszRiR7G0YZXvD2ZICUtNzcnKfi0hqnJuLIRVQ8RnWmhoS6eSk17k+sp8O8vychFQa4xWGxw95uLwkMb8msdTQyf5tKQMN4PiUwJlZSj+x1x8A3roZ4dZqjNWAjrcZt5+U2UUBz2E4NMax1FCQmiGIVNLDuJNDw2HAaJkyeJOG96z/yV+rk76bNuJUsedm32mt0pKQvkP/5hw4MC7ANXBliRwOJRfwBIfDVZKl7QqGPVWOFdNv58yMv2UAu9vjYaFC7bQTuNyIUn4A64M7tlpJ1CWzlRXImFhuqr77k/ej+4HLrR9L+wNTmV9AQylGGVdSox5pBD16m241l6eqHJ884eO5twIsNihL+4mjHuYaatdwWWvjwFb9vTsbYe0gsttnMKWYdHoNbLZTzQfAOKoucHNVFVwuVMhoJ3A5jIFQKqyYBVCbPdMt+HHYshUmXLNYxY1zrOAykqzlrp9HGnTeOuZTH76NcxlImdwPl+uBzgUX9brWZZfhLz9WGgqXayVOgQdXQ9xYkVQhLSJnfdvzArHIdxjCWMN30ipWvao+lEyW0kqAgbm81erG5SPjDHNrFHzNOfDUrIfvXomx1KCLNOIz+I4uuFzovtV2PIedfNmWy8P0ZfdrF6znMhFwUF926/44Ui5YNlquDDp8+k7KVWYWqk7sd/CeQz6U1nj9eoSZCYG3b8uEy2uWURpJb3TrU+62/63m8vSoGMiXDdDxZ6/fsLjscOChvet92Sf2unj5amjmhwwVjxarLV92EpehgYpnGN3jfDeijfqwbMlqDVpc16AWEY6gFk51CXzgiIuzt+Su43KRKXuf69QBF1FMNbQBMjAbUeYF1L0h1u+L5fB8b8t2YuaPJ+hlm6wAGhyLDZUbFIbhLAtMCYeqjwTcvWSNSgWgZFI6fYf640yPCpw6QNEtpw+mNXDee9jFs2/GqAe0r0ZEg4LggO8yMDNQdrsuUtNgWfMZFhq9SaNhmoFzk+lsFBkvrN0XZSFLcAPIfiBmv8s0cnUhHEZ1+c/PSzDGUPGBRqhzE4Ve2/YFlR0BKOqt6nE8MOXgtesRFhvkVC27DEtNvW4CsNRQ0BpJdNfNZYkzMz40A5Ya+f5trUoGeE3P87k5aa6hzoGv0/HHmkos2NIofZ1sRoMsyAKmF5/bO7spK0+Ypust1+DgKIEpVtTb4MyMi5Eyx4jL8Mq1CBrAaNnBvlGNG8sakdRoSo19oxwn97lFpG+hQkNWOy4Hcd5A6cbcQfhYdmnbvcYgwU3AlKII1CeO+XjureZAjt+sMdlJlssjJaAeAP0UENhNXAZMBG3m47b0D5jGQl3DNaUbA6lRD3XiSO2mreSyYMAnT3pwOC2Mcgac2Ovg3bl413FZDlDyZdA55qBcto5f27spG0xXcoGjkwKxBC7MU7212T0Opsq84HKhQtugdlwGkGRJMgxvMbZfLidBK4LK2nkOZeUMc0EWoGOxDuZBglqAwbn8/FmJhsno4ArQDBjxgGbM4IHG/n65bG2bbsrOq1qDq5QGIrVxLgOZRb0eXA6i/AJgP9t++oQLRwyPywBwY1WhEZHDuttBaNDzbp3KNgOsn2ejaea09qODcHlQDZPLa4HGJx728eKFEKsh8Nq1CB95wMfr1yPcWFbgnGG0LAouFyp0F9XJl22l+/Bl9yPbS7UX59txuRkBy8HgyUWtn9ct/680cdnBYJWzKFiIoezSQO87wKExB48dJB9sls3vPcwTLgsOcI2k17ZN7Ytk97F/q7k8qC+bDj4/lxgGlxmAB/ZwPH7ExfeuR5iZEmCMMnq/eSFEM6b9SK2x2Mjvf6dxebnPtZFBZX1BLk8XUvuVbyu4Zu4xY8CBMYGluoSjGd65E+9KLu+Moyi0beKM4b2H3aSWOQBUTL8ODrTtIeuw9MGxERlOH09Su5rz7WT71mlQSbqFuloX3bGRBdlsHfjEWNSmJ1+fb4IGGZUVFyg7FO0rGIPnkDHJWy6Y0hrfuhBisa4RSoqqFcZBGMQ0wR8tcVOaMFWbyz6wHJE2YAdov/bwqCcbQ9kxYKirjtfULpQDaVklII2MgqZnwncYLixIHJ9yMF5mSR/efvsEAjTZ+fPLUVISrB5qUy6KrrfWOimhlT1eBsqE+epbjdyk7Pw80cX2A+h2jlb1SJNBhs6RSNslh9Pkq+pSmap+pQE0bB8J5J3x5+YVVpoajYj+vHiBorNWIw1fUF+C+TWFO6uUASwYQxTT/d4pICtU6F5SOy6XXQZfdGZVdpwGqLxPP1xrRv1xWaqUy4IzfP3tZs7o7UfthlNrcNm/AVr4dTiD7/ZHjl3FZZ7fjs0iUiC2zkwKzE4KSK1R71KW6m5yWWnglSsxXr4c4eqigsOBOVMqrOCyWazg9GeQQCmAzt06J3JO8yZw7rbE+TmJUGos1em3BZcLFdoeteMyAIyXyVnbSW7mdeTor891v1wGYFqmkLGnlN5QS4PWQxIszda3v4+MHT5IH7tBufzKlQiNUGMtNIuvoPnAckDnqEHb6XbsWfW7OJ3NZGXIZwBtlMut16IXlwFNlcF6nFNWb99WQ+XyWzcjxOY6d1p8z97/JBgM7dvldBJD6tTfSlku9yo32apOXJ5vAM+fDbAS0Nxxsa5x9naMWomj5BRcLlRoO9TNl91pLK21MFuw3osidoGuH2kNNGMNzbRpCddfmeGs2nHZa1O31frN++WG4CmXGYipZZf1zWWpbZUQJEFS5QG53M88ol8uAxlftl4fTNPpeLaCyxoAYxzfvRLjyoLCUkPh5D4Xt9YUZXSydGG/9XnYKVwehq+jm+y6kcsHW5AFKEsYyJ9TIIELcxKLTexqLu+cIym0LbKDrY34lYp6ozAYY6jNixzr1LlqB4hqF4PUqq+IUqR0FDwAAQAASURBVKTNyGNFE+mNOOAYCF7ZRuyC0YJWUsYVNCAoPViZJ6lATjEDLop20Xj5SgilCb6vXgux0lR4/XqEK0syrSuvyLA1DAAATI9xHJlwUPNZMoFovVa+IHguN3VfkdieOe+KZyOTaZsVjyK3JiochyY4HMEoGhtpGYBW2Z85nJqFZ3lt/zc2EHx0mkotnJnxMTspMFWha+479HcvaQCXFuIckDxBUdWMseTeWVlgc0bPSbbu/PSowMyEwEJdJj3mOkkhXbTmjDLBRnxaBOnkQHE5MDORLia4gmG0xHMTpkEH2OyueLt/M3qGVsKNBSZoe6wtBxZI+uMwut7n5iJorTFZTT8YZhw9Nsq9UKFCw1crlwFytsaZhdFWZZkybC5ntykVcHVJte1X10uWy9awYpmfZxeQNah3TTPqf5Tb6Vy258gZZeZaLktNbCw5wHiFo+IzPLjXSQJoCi4Ph8v+BusCtTPEOfL9bBxuSqMNYFy2blNp6gOUVT2ibVIGN4PLUXC5UKFtUjsuS6Wx1OjMZSBvwyrk7dJOGoTLGrT/xYbGrbU+v9gizvNjqnVW2l7itvyt3Ve/GpTL1MMuDVKylRSsw3nEY6h4bOhcdjgw4lNGEzcb5Yy4PFHh+OAxD45D84R+uCyYqVY1AJfHy+QYn6ywdQv/nTRsLs/XJfX90/nzyZ2jzpwjJ2f8iEfXyhPtHbp27mf/33OAsS3gMm/5N4Dkeep3u1m143IjQlJFxWbDPTrtQHB6voGCy4UK3U118mVns+latdISVCx473Gik1+8VRrpYthiHbi12vs77WS5LDKss1wGUkZaLvc9b7BM3SYu96qaCdA59stlwdPKIrIDu2ixNL2eVsz8R5lF9KPjfOhcPj8f49QBFwfGnOTetQZKiR3EZc9Jn7lB1C+XbXuNep8BhK3blCotY5z8TKcL3buVy0X54vtcdrC1inV+UOslBhMNJAevD95u0Ab6K3HYS9ZQtQtbjFEpBC3z2aORSgdpmfl5t9OIFWVtVFzAEQzLdQ0F4J3bMebXFCYrHDdXFG4sxRjxOaqehg7ojCseQz3UUOZCHRrlYADec9iBI4CVpsKFeZkMrgw08FR9hkZIIHOd/MDSKscM7FxjXb+b1QBwhcZyQ2N+jbZfLbHEId3tekoFLDbzUWJ2ER0g0L5yOcIHjlFt9g8c87HSdPHuXITrSxJza70fDsGAUoaW06MCjx10oTXw1bfiXFYNQxoxFko7USAjvOxRxNf3bkRJs/JuJ8gNSTzOcHyPwHsOufja2wEEZ5BSYbFlAYImIUDZc7CnKrEaEgAZqPfeqM9weUlCSXo3+pVu+X/G8te7Vz+AdvIEoBVg1zc8AfzgQx6efTPMRQIzTfvbX+OIJHBzWcEVmq5B5oXsFOVeqFCh4aiVy1SSsH+ja6NcFhxJv+mO2+1vU21lecGMk9eOcUqTkzO7j8hE0jKdBlHtZi4z46SNNbDczJ9LbOYhy02FlabCO7diuCa6s+DycLg8WeHYU+W4uhTTIkqfD3K7j7HMO8VAz+qgwYN2UX7NOIY8AXzsQQ/fPB9i3mTFavMfBuDYJEesCi4XKrRd6sRl65zsR5zlbc5+JDiALnZ51lm7UamMLWy5HBlDWiMdiyNlMin6nIsMymXONWXVepz6oIWUkchADl1HMHz8hIc3bsi+uOw5vctWZrkMpOdls4ECR+PZN5pYNX3lsp9pJ8vfdk7h7lxWOD8f45H9Dv7Ha42e13YruBxJhhFXr2Prun1zwG3hchhT0FDc1Lln1d6Xms8QxNosdPIt4bLO/NIung+ifrlsM7eqPjl+v3slpj7DoUbFo0wcoOByoUJ3Q5182f2+/hvhci9/ccLlPo+hnZRZfHJNP9wsl+2+WYbL3NjvvWxHe2201pvmctUDpkYEyi553dcCjYsLMvEvtrWXhekP3+UgXU73omGSs7JcloqySv/395poRIYpPuvJeq0B1eJXlZqCbJWmioJfORvgh07yoXI5adVwyKGkF6TXBiBORDuMy3trHHtHOP7ft8O+7dut4rJtm2HnT4JRe8swZlhspnu1vuzdyuUiU/Y+1+ykk0R+TI8K/MipUt+liQCawI74HCMeT6JaOn3dll1wODDqpz3qGNLMPW7+0y7SYlDZDNgk08L83MJKZCKDc07fDtEhDGmWbTOm70+bPi5KEWDurCmcm4uhTdTR1SUFxjiOTQnUSgyNSJvsVYbxMsOdusLFeYnvXqHvXFyQyaDDGUFWgwBYLTGMV/i6DMpW2SjcdmUBqb48RY5KTQvVYQxMlHnPiJh2Rr9qAVuzpQFg1WeQkmG1j6wqBiqn0TALyZ4DnD7k4LVrEb51IcRSk/aRjcIK4hTs2tzvtVCjEVLUnI2S6QcoHMB4heE9h1y8ejWmMo+qfUaYBpXTevd2jIUG9WKw1y+IgTt1DZ9vrIm5vRbCZFXZd6T1FFjL38l5sPz7EklAmEipkkO9nf7sUoyaly93oUHXcqGucHNZJc/wSpA/iTCmfgdqMx6gQoUKdVQrlz/+cAkjXv/G3Wa47DppJqvL0wxMGzW52Sls1jFpy0W1GrfZkkWJdjmXlaZF8riNM9ty2fYObpj/r3psR3B5xCP+1COdGDNKazz3ZhOLDb0juWzLFVpOBTFwbVlB91k2q9O1sBndyTvV5rls957Y59QqiIFQ0fn5Aqi6DJcXFfaN8HXHpwFcWVS4UXC5UKFtUzsuz06K/kvDMWCszAbm8liJYcRPP5/lsh1zt5rLCuZ4WrncYd8b5TLAsH9M4JmTPp0v0/AdhhGPIZAUuPSdS/1zueyyrtUgNPJcbr2VUoOCmOsaofmM20d5v3aPRC8u10ocpw4Q5/pxWm4Fl/fXOFZ7tKWwjs9WLmtN5S1b7V6NtMddM7bO1fVc7ieDvJ0Y8hU1WjNoen13EC7zFrjXQ42vvR3g+lKMekTnnl0YKLhcqNDWazO+7EG57Ds0NlQ8htFSvspTzl7uYLMOIjt2hnHqrxYtv+cs5XK2vG+v9aZwCFweLTF4Dse1pRiXFhSuLylcXZK5IDU7D2jlcrfrDJCfOlZIuJs7dgk0IyoJHZoM3jAGJiu9r3i7odj6y7Wm7bx5K4XgMLgMAN+9GuLZNwIKisrcJ8vmncTlMAZiCVxbkD2fo07ql8vtbGUgn80cyfQ59wXNiWPFk+pjNqjCardyuViUvc9lU/SPTAo8fsSFKzj+wgNpOrctE5CVncTaLD7BgU8+4uH4HnpBNNqXltPaOH5LHJFiqQPWRAE5HGAmItiOe/YB3UzmbKzJiKr5jFL4Wbrold2ufaHtOWUNBAbgyDhPIMIZMFbmODYuEkMQMM5VSc3cASp5IBVwZ4Vq3YdSo26yN5ab9P+rTY2rSzHeuRMnILMLlHaxWipg74jAR477mJ1yNlzyp1Uup5r8e0Z432UZOomBIJSVjV4rO6lB3+579rquhdSUvB5Sn79n3wzwxo0I787FcJimMghmG+ZRSQxdqdMs60AC5+ZivHI5wtRI7/qMNjt8sa7xlbeauL5Eo3e3MsFS02RBaYJaPVKQmvqyLjYUVjZYehugSR9l3KbParaUhP3ZZIVjtMSSEmMWetnJoAbBteZzVD0OVzBEsUIjTrO37GeVpgmZBi0M2GcYQO75uLEs8fr1ARtKFipUqC+1cllwhg8f91F203e1nUGzWS43Y5b0erFczrYBsIbeMCaO1ggaKyPHZbRMru8nLtvrW3KoR6EjyOjfjGG/aS4zclqvNikyeqGu8eeXQ3z5ew3cXlOI4rxjcydwOVJUvqwZaSw3NSI5OJfbXfOJCpVCLrnEXEesd744nMpqtXLZXp8clxXguwwjPseBMQdaU+aXNWJ55rP1UKMRqYLLhQptk9px+X1HPRyfTINaGQPG/Pz37JycAwgijU+cdAfiMgNDKMlm5jxtQZIdV4C01PBm1InL2d7n9jyzJ9haDnCjXFaKys792aUIC3WVLCJGihxzQQycvxPj7dv9cfnYpIODo72DjrvJclmA9lH1tobLQMrmistyPX1z3zXP0ma4bB3AlsvXlyWePxv07WuJNfVoy3K5EXdmq4Z5tozTuS2XN1AJCiAGuoJ1tZmFeWfGStgUl+1zYB3qQQwsNlRy7i6n57jgcqFCd0+9fNm9uAwNHBxjOD7FErun7WKUBioOzf19J+WyHUvs2GM+CmB4XI4VMXm0xJKqB+182Xa/Nps/e75lNw0qslz+gWkXZY/luBwpYLFJPUy7cZkzhoW6SmzmpaZKKjQyGP+iOYgsl2emHHz0AXfDC37Z8wRo3J2ZFNg7IjZ9rQE616w2y+UXzwX43vUIi3WVBO22+lLsovBO4DIAnJ+TePuO3HIuOy1ctiW7NVI/lz1O1yEuM8YgOAUn30tcLhZlC6FW4jh90ANnDEpr3FgBRn0C03iZesEkETosddRxULTKSlPhtasSS400EqFdhqAC9eJYCxS8TE8wh2UiSHX+u5stY2xF5QEZyk46Cc+WGmQ6H8WajRJmoMiX8QqHK2igGS0x3FlT+JM3g6QMH4MpWaRNHx0HaEQaDBprocr0r9NYaaokWkeCrpvHWQKwiQrDjzxWxvEpB55gGK8wnNznolbi8F2GksvgO2mPukEZ5HBgogw8st+F5wC3VhQqG6whb1VxgTPHvNzPbPQaYwRMv035dtsnVSO935G5Rgt1ldTRb8TA0QmBiTJPM6vtIgTSAX+sxKj/otS4tSbRDHVf4NfJfikiGgAOj4lcLf62czTz7DQjWlB2DVD6uS/tfs9gs9yop5ytj9+6WGFLiFQ8hh97vITxCk83YMBmnSk1c1s8Bzgz4yHSLAHVaJmj7KZf1Zqe2xHfvP9IswKmR0WyndnJovp9oUJbpSyXAWCkxHF4nBb+bPZH1iF7N7icGA1DOketgbUwz2WtM6WMt4jLABDECqvBzuPyZAX45MkSPIdBKw3BWF+ZOZ20WS4zIIlEBoiRb9+KsdhEEkA36mPbuMwAlESb78jUCd2IBuNycg3WHYzG4XGO6RpLKrEk0ekZx0M9VBCcYd8Iw0N7BV0X8xnLZYa0x5KNpo5lWpLYEwx7ayxfzUKj4HKhQtuoVi4DQMkTqBmbeaLMECqWOFds5g2H7VkGfO1sNBCXNei950idZ4LTdlvL0W20Ok9WrVzmDOsyDXLZwS373AyXBQfCSOHKosyx2ToKNYjNSqMvLjNGbXtG/ExGxYDXw+FkQ01UGcYqVL5xK7gM5DO+qn5+/E9kmLMRLifnb/62/eyDmDJzLs7HfWd+RwrruDxZSXsKdjh0AOu5XHbyGWed1LpdBnovHtorUPNYR5vZ9jAM4s1x2eUMe2o8WRQB6Bm2fe4rHsOBgsuFCt11dfNld+Syef9Xmhrv3FG4smRK5eoOGZWgoNBGRP43azPbBVA7NsnM9zfLZd3mH1mbI9fjvmU/2bHSE+RD9ZyUywt1ja++FWA1U3nHMlklf+uOXG61mW0JaMZofw/tc/DQXrGOy6cPerhTp9LHlhccg/PUE8BUFTixj7h5c1lualGWATg2SW0Astosl8+ZNgsadL6ew5KKoTn/8g7hstQaI74JPuvjem4VlzXSQETLZYCe36kKT67JvcLlYlH2PtVKU+HVa2GSum2ben/ncogbyxKuYBgrcfgOS0qzMtBLUitxuJwlg44GcH0pRtijqY59YUNFEUaferSEqQqVTZAKGPHZ0Jy9rSJoakSapZGiMNk3DGCZgVEA0AxJPXyHA4cnHIqeFCwxHII4BVdr/xgNqncfSWqYzo1j1+VIylDa6KqScbILzjDiM1Q9hh96pARXcLzvqIcT+x185HgJtRLteHbSMQ28OWYnHfzAtLMum7nXtRj1GTijHmUWNk3J4AqGmt8djO0GDQZgekxgpJT/rY1eOzzBMVenEglZmDFkDDFzfWoe/a0yn6GIG4osVpoWKDxz3XwTzW2fI5fT9a56DGsBcHNVoepmnuHW82HAeInBM46Tisewv8ZxeELgIw/6+AsPeqj6DLOTDKU2zutsNJzW1NfgYw/6eGTawUSFdQWadVrnriUDlhoKFxcUgkyUODILFHYBO1JUXuT1axKfeNjLTUbswsaoD3DOIU0pknfuxHjqmIuSKVM6WWY4OunkykD4DqAUQ82n62CzAh4/4uLIpMCZGT95HgsVKjQcdeLySlPh9esR5tcUqh5HxaV3MzumuYLdFS5bdg1LJaHRlCy3UW3+MwwuZ6VBZYGCmKou2PYGO4nLWnO8e1vizDEPvsvQiAHOt4/LCkDFZZidFIlzV5nP2JJEnsu3lcsj5fVlnu2tZ6BjHITLdv+t13IpAN65E+PigqJAMp32Q9YZNgeSDNtIUlDjeDl1BlkuC07XVQFYbGi8fCXEw/scjJlzOTTGMFkRSbaa4EDJZQWXCxW6y+rF5Vab2RMpeLixmbN9tYJYDcRlhwPPnCxjZtJJnMi+k+8prTGcBVmrLJcVKECKzp2OJ7uAZhec7XHvq4kNczmWGjdXZVLFx7LZbpvBZqvyvrnsOYAnOB6YIi6X3f4zlyyXHcGhFMOoT4yzXB5vw56s2v2uE5eBlM2eS33uW7+XzXjdCJdHSyxZgOQMKAubSULO5FCmixUC66+TdY4K8/ssl5+c9fDh4z4mqwwTZYbJamcnYyuXH9jn4vge0XNhtp0zPFTAu3MxLizIJBgrkimXGfI281ITPbnMGLW1eO7NJh7aKyjIgAO1EsMHj7oYKbEclwVnqJiSnO857BRcLlToLmgQX3Y7LrucQRomeUKDQ9O40WF/AulcP1I6sZlt5RpbxcIOU8Pksq1c2TClZYF0P+24LJC3gw6PCwjOclwGgJVArZtLWElTSrcTl1ttZsvlksMwUWF43xEP7z/qr+MyQGwe8TlGfYY9VY69tXwmYy85HBjxyGa2vuxQ0eKwL9Isy05qZZtlUmuWLDAcLoNReyjPYca3QNfKFTTHEDuIyyWX4SPHfXz0wTImq2zbuAzYjOyUy9aXHSsqO34vcXlnHU2hu6KVpsKLFwJcnpd4+XIEqTRevhzh8rzEnVUFzmnAsVH4h8YcOMYxVPXJAJmoMJRMtE2sCBIMlN3n8HRA9MwE9+g4QVFwKp/woVkP42WBZx4pYWaPg/EKh2AMx6cEKm0WvqxsJqc1TLtFvVoDjjNK6Wec4aMPeklaPGfAzCTHWJknUPEdgIvU8QsQUBca1GeTMQKaVGTgJIZ2G9lMiqUmoJTGaIljrGR6ppov0fXIl1aSCvhul1rn2TIdH5xxoXSXi9BGGlQuSimFG8sS5+djTJQ5Do5xVH2d9Jnr1A+hrSuBAVcXJV67FrY9XsYYIuMIZ4yeAVs6UWr6954qx6ce9VHxadHBEww1Dyi5MAsRPI0I0xpVn56pisfhmwdDga532QEEZzg8LjBWAjyH48E9Dk4dcFDxWBLJ5XAqE/wXf6CEk9MOjk3SNObaksJaU+G1qxGuLkjEUuPyAi0It6tcYTPIayWOJ495mB5z8J5DPj583OuaZWuhlDyr5vrYCDULo3LLRMVGo3HQM3ttMcL/fL2ZTP5skADda4BBYS2gchrn7kjcWtU4OEYbvbGqcG1Rmqh2hokKB2cM9Ujj9potpWgnnAynD3o7DmSFCu12dePyixcC7KumJeanRwU+ebKEsTLN4i27tprL7RbPgNRAyDK3k9Mz+2MNOsaDozzJlGGgYxkrs6FwuZWitl/LmqlaY0va7QQur4VUVeP6EhkyTx7zyMB1t5fLT5/wcWbWx3g55bLN1B4tcUTbyOVLC5RF22nR2hO9udzOoLQLB7l+UQCCMH0ObRCTnY/a598xz6zWGufuxLizpqGQ57JUQCPWSZmrc3ckzs9JTFQEXMFwc1Xj6qI05awZJgsuFyp01zUolz/+cAm+wxP7tOpTYPNoKS2LGEo2MJcFZ3hy1sND+xxMGC7PTOa53DqMZav8AJvgsjFSxssUxCk4+QHGTIl23WIH31zdGJfrkcZqqLHcwWbWIJtnxE/ZvBEul1zWt6NcgcbptZD6ec+vKUyUzYKwT612egXetlMnLttjnqhwqlTB6D6OeOZ+cpNZ6mFDXBaMSvC7gplzo+dOcHpOSw45uh+YcnDqoIuH9orkuXWM83OyyvHoAYGZqfVcPnszwmqT2gbYDOV2l8d3gNkpgf01gapPmVMn97vwHZabR667Hz24TIsrLUEDLFMaEbT40o3LQawRK7KZ5+oKL1yI8NSMh9ES3ZOvng2xFmiUHArYK7vEZTD6/vdvxGa/BZcLFdoqDerLbsflikc2s+sQlz0n5bIAjVNlM57UfGCsQu1Lqi4xzdrMT5/wUfYYqj7D8T0Oju8RXRe+sry2rQh6aSu4nB5R533GCl25DLS3mXv17bRsPjYlsLfGEUvWNju5nex+Wn3Z0yZb0i6Q8i7Xtd0cQAM4Pxd3tJk3xWWQL9sXdJ+0Sdga8YnHO43L9pw/POtvC5ftdq0/vB5pcKYTX/aVRYU9VXFPcXln5e0Wuis6Px8ni1s3liWePyuTfysF7K8JeC7DqQMuOKOoAgWNO6sKShHg3nvYxStXIlxfllgNVFJj3XM4Sp7GVFWAaQ3PZfiBAy6+dz1GxSfjxZYvAOjl+OBRHytNhfPzMU4dcLHcUPjf32/SQqomsJAhRqBZalLJiIrHsdxUiDsM4hpmsUykWYx/fjkigyzUqPkMo2WBJ2YE/vi1JjhjFMWhNe03s62FNQXOGTyu4TgcrnHAVX2G5YZua3jZccuWt1sJNEUKm19qTdEvzJSgFZwGTAXqu+Y4gJQMN5Ylbi7LXFSHLf/w6jWKBhukVzUDDVBLATBZ0Viqa9xcVeQE1wyaadqe7t+nbLOOri0q7B+JcWtNJc+P0hQB7ToMVdDC3ydO+Hj1akyZXAr40IyHfaMCL1+OEMYULUOL8wzCfN9CAaAIHC/jnB6vMMytahNxQ0AbLwNPHPNQDzXOz8d4dNrBd6/E8B2GWGkwmEwVY9S7DoOGxkqTnoFzcxKcyQTuGkAct545SWqAayCMNb51McSZGR9Vn+GlC+T5z/Zlyi4sZB0UDCaiSuV/B0ZAlpp+JzWVYjk8IdAIqX/ASkjPlr0gDk/78ygNNCQ9X7EEYqVxbTmGUhRBFEqFtRBmcsfw8Yd9PPdWgFDSNvdVdx64ChW619SNy2EM3FpTODPjJ5zkjOEjD3j46tkADgcOjTlbzuXnzzbRjE2koxnTpiocsdJYampT1YAhkjo3zmVlxzqADBXGaLItOI1RrqCI19OHnS3lso0slhqYr28/l6susGZK/DCmcXRc4Hs3YqwGdC115vgG4bJU9Pz82cUAmgHvP+INxOXpMQdKk7Mjkhkum34utoQ+w/ZyOYzbO8AjBYSx6snlbFluhvQ5jRWSnri2zQLM7z1jFPsOw1pIN2a0zPCRWR/v3pE4NxcjUmmUtGBpGXDAMJrZAL6Cy4UK7TRthMtPzbbnMrDFXNZp1upUlcbQ5UBDalr4jRUG5rLrMPiaGDQ96uD9Rz28ejXElUWJNbMgqVu2GUY0Rg3KZQ4ar225uazNbIoFQTEqG1krYcNcbs106SaXmewODWhoTJSBRsSwGugka2MAzCfqxuXXr0c4MiZwZ1ViNQBmJwUeP+Lh5cshzs9LjPjAR46XUPXZhrhMAXAMK02dcLliFhn+wgM+Li1KnDpA0fF/fjmkUtlIM1WCSOPmMjl2N8plWvwEbq1I3Fqh+3VhPqYy1X1y2fK0lctKk80cKiQLD7OTAhWfoRECVxYlIjPXaMdlBWrvE2sNwciu//alMCnlGUb03HkCOGBKIS7UY6wFNOfZaSURCxW6FzWoL7sTl28sE/OkpixZz6FAKw0FT3A8eczFxUWFk/sFvvZ2iPcdcXFnTWN20kkYM1YW+OSJUsJlrYHlRgNzdRpV7NhV8Wi8WQtpzCkJYt1ioztFGLaGywDxIJKd5wbduNxqM9u2fbZ88/WlGLdXJaTCOi4DaXDwzWUJqXXf/Usty2IFLIfA3mrqy2aGo7YFT78SPF2EvrwgEcqg4PI2ctk+JRLpfeGc/AHQVD57ri6hFLtnuLzzj7DQ0HXqgIsoJogB+Xr006NUEi3bL6edIcgZw3sOO7j9JjW+FiZ0QipyYK40JY7vETh1wDPQk6afZft0cWs0Ka3x7h1JJe5CDcXS6GEYY0wwwDclBDpBJCtm/stAsGhGNFg7guGR/Q5evRrDFwxLTRo+NDLlBoxC08QmBDDCadAI4jTSQ7UMUJwBQgAypkgdKkGrk1JQwpyXVPRzhzMcGHWw0oyhFAHvxlJaUiKMaQJy+uD63nA3lyU57/pUNgJlsaGx2KABe7EOHJvgWGlKRDo9F5b5TjvZ7BZXMDRjha+9E6DiMkQxkknPrWWKWjs4JvC+o16y2O+amu61Ek8MZivPAYJIox4RoGxZCIDKZ9iF2ulR6vGzWFdQ0jpLNcKY4eXLIVyH4fiUg+/fiHFjWUIpnZQqqkcaFZeMesZYmqWq02vUryJFC+8A3SsACCU9rwqU7eI7jAIJ2lxQ3fK3lVSU7TriMXNdGJ4+6cPhPJkojLgOvnUphNTAeJnj9AEHX383NA5+4ImjDl68EKVlV2QaMV92OTgUQkU9DL/+TgCtNDxBJShvrSlMj/V/HQoVKjS4enHZcjfLgFZDcKu57DscDtfEZlCE71SV4faaTha4lO7NZQ2anEeKSgU1Io1GpI3RyvGew+5QuWy/Y7kcxca44JnS8Ng+LnPko44jCfyfc0HidBagBWR7XTXShcJe13mszNGIKOsSIIPsiRmvby4DSEp0WrmCygcpUOR0IyI2byeXO6FaaWC5SZ/ol8utLFYt/7YKpc2AY4lx+dhBG8zIoaBxc1lipUlBB/tqDNeWaD+MUYb2apgGexVcLlRoZ2k3ctkXVOHg9ppKgpOtU6ubWrlsz1WqtBQg9Zsj+zuM29uHkQIiPTiXY0mB2MemBK4tKWr/A2KdYNlxX4NzDsGxYS5bR2Iv2WAcBhqfmxEwtyaT+ULJofmLpaN1SHYTY925bBeWHz/k5QKc33fUg+dGHW3mfrh8YFTg9CEHz74ZJPfB43Q3gkjjxQshnpqlucCr10JcW5RQxgEfSA3ftBGKAo2F+sa5HCng/JzEaIkBMcP5+RhRnFaHcjn1ILyz2pnLdr+t+4hM258Rj2HvSJ7LSms4l8OuXK54tKARREgeVPsuBDEF+vuCnMsLdWmc79RqYs8I35EZOIUK3Wsa1JfdjsuPH3Hx2jWgHmjM11OSSaWxFgKCa7x9R+LxwzQ2RzHwvetxWzZnuUwZotQ31HLZ49Tfk7is4Rhf9nJT9/Q1CmP/bQWXx8qGYSrP5ezcoROXbW9eazMLRZmf9VAjUlT5ghaiWU8uLzZMud4e8xQO8qtbLijVgcuxzi0Y9uK9a4LlaEFdY6UZF1zeZi5fX1Iw68EYKyGp7BWDqmgqRU/rvcLlnX+EhYYuzhjee9hdV7vdc2gRLQuxrLJN1AFKBZcKiYHpOdRLi7IiNM7PSTx/tpkDpnWKtcr2BXjtGg18nLOkzETZRIHUQ41Q0r/DmKDZqy+M4AScmp++uBYmWml87e0A15diSnFHWsImCyU7oHHz73qgsWr6xcZSJwO5lY3ygDbZRPaP3ZYZ3A6PiyTF/kOzHmanBGolgm7VZ0k5J6l1Yvy3uydnZnzqRVbqfi1shIvNNmIgkKYGpMZSU6HiGuMZBL6xMkPZbV+yAKDvu8JGYlNZqEDSROnZNxs4NxdDaw2lGFyHHLwrTbWuhEC2kbotN+IIili1ZXrt7wWnOvK21+ytFYo+t85q6sWqcW4uxtlbca7MWCDp+7TfNOrL5RQR26k8ZD+yJatPHXCTHoNVn2GqwvHpx0qYHuUdr2M32Wta9hgeO+jg+bMBYkXX8NFpB+/MxTh9wMXeEY4PH3fx7ctRsqBecYBvXYxyE7XAvIaeA3zihI/DE24SbZVmKjMcGndyz1233lqFChXauHYDlzWAZqzhCOJUxWW4uKCw1NBwORlnSnXv18ZAkYy2n7vvbD2Xk+8aLtsx3jpbt5vL9tYmxqOmiiB2VOUcGC3R52ypYeoRt74XbFZU3kjj5opKso2uLA3GZWA9m/fXnGRvHEjmV9vB5X5wahckOnH5wKhA1UuD0PqVBjlcPAc4Oslxc0Xm2LhQV3h0v4sH9zmYmRKYr+vkuXc5UI/MQgQKLhcqtBO1E7kM0Dv/lbeauG6df+YwHBPEPAwuA+mYVHEZbq5QVu71pTgXsJIdNy2rN8JlgNi2UFeo2n51xl6dqHDMTgn4DvUcOz3tbJjLJ/a7OD7Fe14PkeGyPdbVMMNlBpRcqtyVBifTtWMt28qqHy6HMXBzle7tmgn27WUz98Plx4+4eONmjDhWyT2MNXG5HlG53q+eDbDSVJiddBCbgDWXM/gORyCRVH/QwKa5vBam9+vEfhfjFQ5PMBzfI/CJh0s4NiE2ZI9LTee1IS6HGktBWpY6yLyG42WG2SkHjqA2S5GkDzFGQWbvP5IuOBRcLlRo67QRNrdymZugz+yC7GZt5n65XPVZ0l+zm2x5163gstYaUurcGGtZJ7gJoNKduTxe4Ti+x0ls5qeOOXSuHrG57DHqJ9+nvfzA3rQXaztZ+zebActZBy6bksLCrCW0cjkrBpojcUZtkzRLufz82SauLpI/Ioh0siDbry+74HIqy+VHph2EUuO1a2l5a08AkxWOo5Mi4bIyXPYE2ctLQRoQEKv0CAbhMrBz2Vwsyt6HslE82agi2zj55Sv0kPbzgLZbRLPNre0iWruo4lZl+wLUAzLaVgNFJYOSEqyUfcNA2a77RzimqtQgu12zbs6AUZ/+jjKp8mWXweVUs90OsPVII4hpEKv5ttxAPspDkJ+Qaseb/VU9swgnketvqzMQAEx0rb0OjBysUlNZqWNTFLnFGMNLF0NIaaOJ7SI0lTt4YI9YN8Gwg0rVZ+CcJVFLnFEmqR2Ukz5C5uvZrA/B0z69FbPYHUjr9GWoehRBFcb5iUOr8zKI6Qdll2G8zFF2aNF8sW7OIdLYV+NYCzTeuhnjhfNNrDRV7jnL9v55/IgLwanciHWgHhpz8PGHS5g2ZQnKHsNTMz6OT9GkLFRUv3+0nHfq2ufQlhl7eJ/A8T0ElIrH4BijPjJRZ70W+ruJM+DjD9GEz57PzJSDZx4pwRWcnldOPQbsdW+nVoPeE9SPbzVQ+NO3Q9xeUfiTNwKEMf19e1Xh1esRTh9wcWlBwRMMrmDgnO5nM0qj022gA0DX5dWrMU4fcnpObHv11tpumBUqtJvVjssA8e65N5uITRphLzZvNZeDGAgjyqjRACKpTZQuMF0TCZfbGUDU64xK9Upt2cS2jMu2H63lMgdVdLDbsb1OtpvLDClfrUFVK6U9XMoOlbtiDGAcidHaymVbis8qVjT/sNfX5RR9OwiXAaxj8/E9DsYrxNuZKQefPLl9XO4V/Qz05vLjR1yUPeolVXIZPN6fccRBz1s3Ln/rUogjY4K2a7gMRs9dGBdcLlRoJ2uncRlI3/lmqE3/S+pNHStASlPuTeuEgxvlMkBjkuDUm0trqmixHFCAtGd6nTGWH4e5AdegXLbbWahrzNd1ErDEGLAaaPguw8P7BE4f9PD6jXjDXH7PIQ8VnyXjbtIX3B478gFSyb9buExl9mk7YMRlZk4ix6UWLkdy+7jMGZXxk2CmL17eqctBvD0/H6NW4nj6YR9TFZ6UXPQd2r7DN89lBmrFY3lWK3F85LiPE/sdvO8I9VEeKTF4jgnK7pPL1maG1hvjsqmXaFsCWS4D6TvqivwZFlwuVOjuaqf6svvl8t4RgR98yEfJTX3GrX5BwYCaZ4KWt4DLFZelPnKzf8HTXqyWjd24zBhl0X5oxsP3bkrEkmz3sssQRBiIy47IzEG4sZmR/lHIB2gD3bmsGc0tRnyGWK7nkt2OBvlKw1jnuFx2gEZIVUhCqcE4Vdh86XzYty+74HK6XQpg03jurSbevhXjrZsxvnMpxHcu0fW8OC+x3NSmx+zwuQzsbDYzrQfpelVoq7W8vIyxsTEsLS1hdHR0S/bx6rUQl+fT1HrBKQLGRl2c2OcgVuhZQgnAupLGdmDKlhIC6MX4+MOlJEo4+91mpHFxXqLsAo2Imj0vNekz9iWmtH8afAUHTu53cHzKxbt3QlxZVNSnxgzeVROZA2gaoARLQOaZrJyVpj1fMo6S9Pgyg8M05urp4CUY9bONFWWDeg5QKwnMrylITfDxhCmtzAkOT834eOd2jLO3KTrawtCWHHQ5Q8VjODopkl43l+bipFRva2nCqQrHM4+U1k34w5giSzjXePe2pD685jyto5whLQ2VLatEAzkN+ErROXBGqf8c5BhtmONZZ2QiF9xMkSwmgvl9R1x8/Z0QUmoqQ2EjqspUK99e94f3O0kPoG7PWbtn7PXrUa684kpT4dxchEgCN5cp0qgRUX8Dwdi6UiZSaTx/tpmbaHkOEEmFubX+wNUqzoCaDxwed9eVTcmei71v+2oc82sxbq/ly0tkJwkAAXZPlSJ/lpppiSU7gcve070jHE+fKOHly9RX0j7nNtqNg57xkpuWQNFIy4+0KnvdWscNr2WiesQ8y8PU3RgPCxXqpe3gsmd6s6yZyMCpCscnT5b6Km+4E7h8fVmjGSk0IhqjPAFUPU49cQIax6o+sXmruFx2GZSy5e81Do87+MBRF/+fV5toRDpxwnK2fVyWxlDMjuMTZYZGRFHaSqWOYjCAaTKYO3KZpY5ky+WKSwE69VBBKRRcbqN+2Jy7zgCmKoAGL7hcqNA26H7k8rEJgZcuhghjKoPncI21IM8ll9M4ZHuRP7xP4JH93oa4bHuPrTRVUkLRlq3zhGkBEFP2g1XNZ1B6cC4/+2ZAGUs6bzMLw2UGGs8AbJjL06MCx/dwPPdmkARLu8ZPIJVOHLf20nfjctZmZsZTbB3H2fvJzH8slxko+Ge7uAwAyw2Jb54Pk2D3LJsPjTl3jcsO521LjWbPZxAuw1yvms+wHOgNcRmg7TNNXOYt70Ld9GysuPnjLbhcqNDdew53gi97s1x+4lgJyw2JFy+G8AVwbUklWa7Wlx2bwW5ki7gMIOfLjk3QrMMZnjzm4psXol3L5Zwvu82ibFYMZFt7gmGszBBLhbWQwB0aTrqCAsSXB2RzweWUy42YKq7Z/dmzt8+KJyj4LpZs6FwG2s/pt5LNg4yHRabsfajWqKDpMerNAtBLfm057ruEUmspCACQkq1zJIUxTI19ehHtC33hToxL81SuZ6mpEcba9P9KJXWazaIBjJU4HjOlAjjnYDBRG4Jh7wiHY0HBGKZrIommmKxy7BlhYEwn0ItkOohoUI/VO/X8YKY0veyuIECcmfHxxDEPnnEsVlzqKTZeYTixz8UPPVLGeIV6tD2wV8ARSKJoaz5DySFI+KZvG0Bl9WypXiAt5QjQ5CJWVF7Qyja4l0rjwnyMt2/LHKTsedlMojBe3+dGw5SNNBOEUKX7VaColBGfooVsZBLLHJfdnC0n4TmU5fTsGwHqIUWDuab8hdIUZZUO2Ay3V1Rfz1m7ciOt5RVrJY73HPLx+GG6LzZayk5gspEynSLfKWuFbQxk5hoEMTW2z96r1nM5M+Pj8ATVCVtsrIdYu/1PVAT21zhq5n7YM5c200tTL9mPPeQR6Kc4gjhTzgOpY4Bzho895GOywrEWKqw0FYJIUZmMUKERK0hzUDeWZXIupw64SXSXvV5W3aL6CxUq1FvtonU9wZIxOYx13yWUdgKXyTjiGPEZRjxGjl+QY7JaYhivcAjGtpTLDBSJ+okTVLLwyRkPruB4+oSXRCa7Yvu53MrmxQZFWVs2y+ziqz3uDlyGTv9tuRxrjbk1hXqIpCRwweX152PZHEaKAgB67JQx3p7LhslKA+Mlho8/7NPxcI1m1J3L06MCYayw1FBomuZKSimsBAqh8boUXC5U6O5op3H5K28FSSWJMKa+d9lhyjryYgMHm3GxES7vrXHsq1F/OA0TKJU51lBSwFbW8csANKONcfmZkz4qbspH27N+dkokQU2zk86GuQwAVxdj/P++R45fljnoUOqkagGQ78lm1crlrM1skjhQK7FctpPlc/Ym2RLOodweLgPAaFngkydLSTlMy+ayy7acywy0QBrElDmW5Vm78+llM7du2xEMjDOMeNgQl4E0c60RAftHOT7+cAk1n2GxoRDF1MOv4HKhQtun7fZlD4PLAI3F06MCqwEFRLX6sqmyBNsyLgMpmyuGy0cnqZLQRNXZ1VzO+bIzrRNsSeisLKs9hxb359eo56v1ZUtF13ChMTibCy6nXC45lIHsmVO3Acr2Os9OCfzAAbdvLk9WKDA6iDU8TpnjQaywGpIvu/U8djKbi0XZ+1CtqfWnD3o4PuVQbxaPJY2TgcEf0NevR7kG19nSa9kXww7GgaQ/sUwXmHIgY/l/l0yvLTswWSgLUzfclrdloEjTxw55ODPjY3+NY6Up8c5thdWmhicYlSuyf7qck82iCWI6xvPzsu1gqBRLIpWsHMZRNeVxbG8w35QYeOJYOiBzxnBm1ktKDnRbwAXSQcX2Pcgev62d7xgDzzZvbydjoySD8WiJngFPMJSEhsOpabtvyhTUSi3lMJDuvB5Q9Hik0slHdt8adDw2cmnYA2E3SGUdHNlnVGoqSaHN/y81derkZul14V2eEQbAN+UuIhPtnL1XQL5+Pd1zjbfvSASy7SaTe8IZTdJurSi4DsOxKQfPPOLT5MhMTmxvh48/5OHVKzHevBHhy28EaEbpncqW6FJS4ZWrERabCqEpVR0pWlAPFcx7qSGVTiZbtI2N9dYqVKhQb7Ur3/70SSpRU/WoVNFGx8zt4jJA0Z2ffqyMA2YS7DvA/3W8hI8cvztcDmPg3dsyF6F67o5CzWdJFul2crkdmzXyWTUOB8bLZMjXTACnLQHZjst2oU/DlF4KUsM22mVc1qASWfa8khJfLOPwbqNBuQwQa68tSZybV+vmcq0SnCKz13EZJhvaHPyeEQ6tgT/5fgPfvx6jEaUvUyuX37gZ48AYQz0y9y4mx2/DZI2vRUAYq4LLhQrdJe00Ljdj6gVnS5/bcd2+5TzDZg5ycD12kI5nUC5fXVC4syqTTENsMZdfvRqj5HCMeKnNHElaxD08IZIMlI1yGUBic1knuS335/I0+KlfLmdtZl/QNhoRMOLzpLRfthwykNqTsaT7uJu4DBD36pGGBh1/svjcJ5ftNmzv+EaMHM+A9ly+uSLx7pykEoY9tu2biiQlj2+My/QR8z1ayLi9InFtWVJ/RQ4w6ILLhQpto7bblz0sLgPdfdmTFY4Pz3qb4jJjNFbdb1xu58suOUDV7+zLXmma+4iUwzZT1/6bsa1h8/3AZd9lePpkCRMVau9kuaw1ZV+fOuDguTeafXG5HmosNlVy/5sxnaRt3bQaaHCuc+exk9m8qxZlFxYW8JnPfAZjY2MYGxvDZz7zGSwuLnb9jtYav/qrv4qDBw+iXC7jYx/7GL73ve/lPhMEAf7e3/t72LNnD6rVKj796U/jypUruc/MzMyAMZb78w//4T/MfebSpUv4kR/5EVSrVezZswc///M/jzAMh3Luw1Y2aoMzhsePeBgvs1y5pI08oO2iiu2gm33B7WBcdqhmvI18SRajzPZ0ZhTmoM9+9a0g6eNT9Smyd3+NJwbz40dcHJlMQVErcXgGIr6wA6wG9Z1l1HukgxiQ9LQru5TdsRoonJujLCIAYExR+TpJ0TKvXQvx6rUQf34pxI1lSSUeXAbfZOwyRtFXFxfSUUxpKnNY6WMBF0gHlbGS6S+Xce4xRpFBVY9hsgxkb1/rrWTmmpbMvXnmZBmHxh1UXIaSx3FmxoPvACMeR8XjqLdEf1lA2UbwDk8XMB1Gg2d2UlL16F7XQ5UALpTtew0Mqn4dHPuqHIHUiLVGJKnEdT1UWG7qxChmzPSkMdczORdm+gYhPa+SS+OM72jT6N7F+fk4qUvfrn59PcxHFdFkLH9fJqvAA3scOCar6PiUg0enHbx4IUqz1IyUBr70ahPv3olpMSVj3Jcc6gngCmaMfwam014QUtPzYqFq3d8lj+XKcPQ7WShUqNDG1BpN6XAqjVj28mPjoGwuuLyzuWz752RV8Yinls1/8dEKjk854JxjvMxQ8/k6LttNWi4rRd8fLbHEObybuNyMFNYClTP4xsosMYitgTYsLr98OVrXT8ZvMdwqLjBZpR5FZZet4zIybNYA3rkt8T9ebeBOXSfOBYX2XJ6ddPD69TiZdygNLAdkXAImGIIVXC5U6G5qJ3E5cVJmnL7W6QaklXNg/rqzKnNOtEG4DNgsHBq7XA6MmUzQdhoGlwFyzI2XibUAcHNFmb5x6Zi3ES57JkPDFSmXgdT2KTvrA6l6cdnazFXPcpmZ0pNUxavVOW8d42UXSfUIYOdzWYOqjTFGfF5q5MtBOga+rVymHnL0GQa6djWfzqlWYjg2yTFRTi9yJy43I53YtQztbeapKjA75UAwWgB44pi7cS5zhlhTds/xKRevXqftcE7vXsHlQoW2X9vpy94olwGqsPHatahvNk+POT257HRY0bGVG4QZjz2HOHJ1MU560nKusRYq1EOFq4vxPcPlTr7stSDvy7bZmhyAY3ru2opUI36aecpA19AxlaooW5kypAXf/KLe/cDlJ495eOdWjEWTcZz1ZddDjS99t4k7a/1x+fx8nPiyOaMEo5UmJYcxc+57qyL33O1kNu+qRdmf/MmfxCuvvIIvf/nL+PKXv4xXXnkFn/nMZ7p+55//83+Of/kv/yV+67d+C9/+9rcxPT2NT37yk1hZWUk+87nPfQ5f+tKX8Ed/9Ef4xje+gdXVVfzwD/8wpMwv/f/ar/0arl+/nvz5lV/5leR3Ukr8pb/0l7C2toZvfOMb+KM/+iP89//+3/H5z39+uBdhC7SZB7Rd5EQvo2+lqfD69QinDznwXZbLumFII22B9IXkoBd3JQDurCl85c0gGRRuLSssNBTWTDZFu7IAFp6CU/SMY4ABxlB21y9WturohMDRSYHHDrhYbmrEkgbh8TJDw5QeWg4AgEoRXZqXuLAQQ5sz62ZwA+lA3I+jOHvPImn60piLp5H2q9OaDIXsqbWWVRrxgJESDXYfnMnfryePeXj3jkyei0ZE5SGQ+b69b3YyMjPl4Acf8lD1GLjJUOFmoXashGQxMohpe/WQruNXzzax3OgRatND/UyiVpoKr12P4DCKfPIE9SJoxi2lF8z/+8L8LyMj2hc2mifNfGpGdD71CDhz1MW1ZZ1rGJ4t0XFjWeL5s03MrymMlqgsicOBEZdhrMwT2D8wJfAXH63gyRmKjhuvcFR9hufPBtQzQ+cnFAAtxAYyfYc4Iwf2px8r4cCoQMUjR8mHZjy876iH2SkB18x+7EI0YMpHTAo8faKUe4f6nSwUKlRoOBoWm2sljieOeXAd4KG9ouDyDuBydvLdugBddanEZNVfz+bDExy1kkjKVWW53Po0aFC25Uce8PDwXgdVD0l5qd3C5dYI3DCmBdvsgvewuHxjWaLiUZaT4NT3r+qyxOExWWb45MkS/u9Hyzg4Ktpy2fZBtpKajiGZdzHqgdSOy7USx8cf9jFujeHsKjOoRcGnHyu4XKjQdupuchkA1gINITR804cUyGTdmEUiu8vE96uJOXfWNJ57o7khLgNI2OcJGqdaq2S0007lchjTZyouSzKXpEqvVcXLOxQ3y+VstQcgHzS1GgJHxgQe3id2BZcdTs7xpUZaQjJ7XtpyL8PlkkPzOG4eLc7ocyuBCRzWClIx3FxRPbksGMNoibZXcllHm/kHph24Di0AfOti1DeXhTm/H3zIK7hcqNAu1N32ZW+Iy6Dx8/ycxFs3o9wCVy829+Iyzw5wuetigqVKDGWTbHFkTFB1PMMoDlrobcbAcqCxWFe4PC9xa02iGWtIrXcll9v5stdClSuBnLXFQwWMuMCJfQ4e2icwVeVJ9iVj6X21GceR0lhu0nVcqCt862K4qUW9+4HLFxckzs1RAlG7toq22ibQm8unDripL9vcI+uncjnw8F4H7zua7w+7k9m8axZl33jjDXz5y1/G7/7u7+Kpp57CU089hd/5nd/B//yf/xNvvfVW2+9orfGv/tW/wi//8i/jr/7Vv4pTp07hP/7H/4h6vY4//MM/BAAsLS3h3//7f4/f/M3fxNNPP43HH38cv//7v4/XXnsNX/nKV3Lbq9VqmJ6eTv6MjIwkv3v22Wfx/e9/H7//+7+Pxx9/HE8//TR+8zd/E7/zO7+D5eXljucVBAGWl5dzf+62NvqAdoqc6AYW+51LczGefZNKrGYB2hJMBIAiXxyzmmhftkak8D9ea+D6En05iDReMINHO2UjciwwGGOIpEbTnF47ntljiSUB8daaglIEbMYYbq4qNOP0uJebMD1iqGl6M9ZdoW7Vb8S01evXI1xdiimyKVOmFjoFWj3SaAY6GfTsAJ1VKAGtNFYCjddNZJS9hmdvxbnnouaz/EXKTAIYbHkKhhvLVIbSF+kA4wlTpz7z9VhpRGYltBkDL17cXFZ5uzJjrdfbgkVwOr5Q0jFkI5QZo4itiploTVU4/sKDHkZ8DsYYHEGZXK5II2U5IyC+cDGiqHDQRNBGiE9W03ttn3fBGB7e62BP1WTfA6j5HHtHOJ6cpVKga4HGQkPh1rLCy5cjnNpPz4E20XEzk+2H8BHDIKY1vnslwkN7yUnyyRMlTI85FFF42MN4Jb84wEFlvx8/kmYF2MnqsQkBz0mjrT541Ov6jBYqtFu1E7gMDJfN79yWiGLgpYs0xhdc3j4uR5k+KQxkCGUvcCMCgkghiIEoVnj+bIClBt3vKAbm19Lr2Y7LLMtll+HivILgDCWH7youWyPYRpx7AvBF6ow4Oi5MlPDwuMxAVSn2VtPn0eHU4+kv/kAZY2XRm8tTvG02GQNde840GqGGIzSmazzhMmCy8E74674vGPDJEz4cY0kXXC50v+l+47L9zgvnmzh7M8b8GnElG0CqVZq1AdA4OVlhOWYvNfWGuQykbI4VlcO3WRGt2ulcpmunEUjDX5uJoWkOs9JEzl7eNJeRbou1cJkzoOIzOJzvCi5LBdxapc65jBFrkrKIjLKLah5yXK64pp+xRyUsbTaSzSZbbADn++QyQCW3f/R0OcnWarWZ1wKNly6GiGLKhO2Hy0qb9hAl+v8XLwRQSm2YywC9s0Gs4ZrHcP8o9YG051VwudC9pHuRy/34sjfCZYa0tLHSNOZ99a0GbixLaK2x2NB481b74+zF5Vi3X9TRMEEpjPpo10oct9YUKqa8bzMG5us6+azSwNUlqs6w2iT2xKp74BiwvVyOTZnD5SZxOTu3afVlOzyfrISWZKV9NQfvP+rBYRxhjITNtgpktuJCNlFJAbiyuLlFvZ3A5aUGcHmB7ktgeuQ+Ou1AcGotBGyOy0fHBc2FdBqA5repjNYPl+81X/auWZR94YUXMDY2hieffDL52ZkzZzA2NoZvfvObbb9z/vx53LhxA88880zyM9/38dGPfjT5zne+8x1EUZT7zMGDB3Hq1Kl12/1n/+yfYWpqCu9973vxT//pP82VJn7hhRdw6tQpHDx4MPnZD/3QDyEIAnznO9/peF6//uu/npRjHhsbw5EjR/q8IsPToAOpVafICaBzs2v7nUYMLDYUlpr5Js5APmORAzg4yqE11Uh3OWUsNiMTOWpKLzDT1+fFCwFuLMW5iCelNb57NcC3LobrIqhs4/Jsb69WY7PiUJmG166FicFgm6J7guUMLanpxY+UhsuBkmDwXJYMCp2ae/czEGe1r0pN3gNJUSUjJZaAzCqSwGqGDbYcnjWoNSgqaCUAoljj8oLCpXmJr7xFjetvr8kkkmZ6lJqPz07ytLwS0oGfM3LQa502PBecYbySlrFwTVaoda7WPPoZQJE7Tx7LR7NsRL2aqR+bEBCcAjYYY/Ay0Wy2358AnY9U1GP1Bx/2cGdN4wcOOBgrMxweE0lUlyfSMscOp6bwoaSI5n01jijWuLKgsNKU68pt2HfOliOxykb1tb5j37sZY8SjrJ2REsNasP55tSUPpQIW6sA7d2J85WyAmQkq4WDfh5cuBFis598/BWCxofHyZXp/spPVd25LfPCYB4dTmdFvXwrx0F7R8RktVGi3aidwGbh7bL4bXF5pqnXRyLFSeO7NJvUNyehe5/Jypny9DWzKGfQA6jHxZDUkg/t+5bLLGcbKDA5LudyIgVFfY6zMcWqHcblWotLSrbJzL6mBhTXgT99p4uwtifm6NL/XePVaiKV6jOfeCtZFEEsNPGdKhBdcLnQ/6n7jsv3OUhNJX+yg5SMK9HOrkgOMlShTwS4GKlVwuR4SA5ox4DnruQxNlYbsz4bB5eNTImFrdmGWGy5dX5LJQvlO5PKpAy4mKzx5biLJUHZMVQpGlZisL9XjQFOyHJddBzgz4+LAGJWR9DNctuWENdA3l08fcvDq1XidH8ey+dxcby63tiMAyMk/X6d3a24NePvOxrgMpAs8t5YVah7H4XEqt3XVnNf+Gi+4XOieUsHl/rmcjOkOcTmUtBCrteUzsFBXG+IyAwWx+mI9lxkAJRW+fyOG0rS/vSMCFZcyDwVnuUBhZdgMaFRdKkF8wWS67jguM/qM7em7UFd44XyAl86HuDwv17H504+VMFbOB03xzH3hDHjtWtjWZq55aQlgy+ZRn9hsbdXNLuptK5fNtYjNs8kY8Mh+B9+9ElPFk1AnC7PAxrj87UshfIdKGfsOw9EJhwL8W9QPl5cbEi9fCe8ZXzbTWuveH9t+feELX8Dv/d7v4ezZs7mfP/zww/ipn/op/NIv/dK673zzm9/Ehz/8YVy9ejW3WPozP/MzuHjxIv7kT/4Ef/iHf4if+qmfQhAEue8+88wzmJ2dxW//9m8DAL74xS/ife97HyYmJvCtb30Lv/RLv4S//Jf/Mn73d3832eaFCxfw7LPP5rbj+z5+7/d+D3/9r//1tucVBEFu38vLyzhy5AiWlpYwOjo6wBXanGx6era59+vXI8xOOh0fUKUpmigbgWI1PUqDcmttdfudq4sx1kK9rgZ/68PIQItlFZcaTx+bELiyJNEw8FKaBpMRnwOgMgKU5cgxPSrw3sNuMijEUqPqMwhGvW7CmKI+mpGmpt+aUV9RnSkzZCI59lSB0bKD26sSkdSoeBzKpNg3TOQskEbCclCk7IExp+112KxevRbiwp0YjVgnZRFt6YLstUPmmjIANVMSyZ6jKyhbVhALqRwlkBiG+0Y5fIclz8V3rwZ462ac1JC3n7fnOz0qsNBQCGPkrv+NZQnPAR6ddvDSxQgep6gtrWnhk0oDdWkiOATZQTmIgSBW8LhZvMxci2wtfnv9BKfePrEi8JZcBqk1lKJPaK2xGmoIzhCaG8ABTFWp/4OdbFmHsZUFqs3Gsc+k1ZFJahjf6R3jXGO5Qdev2yhu+xlOVagPln0fglinZS3MZy3UPMFwwkQZX57PRx62HuPpg5t3DnTS8vIyxsbG7vp4WOj+1k7hMnB32Hw3uHxoTCCUOseG595sYq6uwEHZNGWX3ZdcHi+zJCoVMKWaWFp6yJaOvh+5PGrmLJHKXz+AmO2KncXl/aMct1ck7tR1X1x2OfDwfgdSMtxYllgJFJXuMockWP752TtCc9uCy4XuN91vXLbfeel8iAvzcdrjvdVxmZFg5NwsOxRkFcvUWWUDXSirgEGDKlKUXA0GPnQuz68pMKbRiMj5xgAoaCyarJykfB7uDpcDCXicgnqyth6wfp4zDC4rrfHcmw3MrenUqWz+rvnkBI8VVX/YaVwGbJZ2gLk1lZQRXA5oTiNoaoe45UG0trTlctlj+OAxD982QfFaU2UuytxKr0kvLgO0z1jqpKdhK/cOT3DEhqOtslyeN33surGZMVrYGJTLz5ws49Vr4baxueByoe1QwWX6WSeb2X4zazNXPWCpQWy2XBYcGC3RwLoRLo+UqLLf5QWJRmx6rzJTDlaTrfGpR3ycm1O4uhS32Mx2cTgTPATiFGOs43XYjIbFZU/QtQti5HyaSTskYB2bX77SxPeuy3U+UHu++2u8o83sCurbWo9Mv1vG4AqN/TUHx/d0fs6Gpa3kMsx1C6VO7r/vMgQmqC9S6XzHaju5HEhqj2H9AzvRlz0Il7e9fsav/uqv4h//43/c9TPf/va3ASC54VnZyPpuav19P99p/czf//t/P/n/06dPY2JiAn/tr/21JHt2o8fn+z583+96LHdDNjLDykZmdJMtpfD8WZl7uLs1VbffsdEOgQRcplE335c67VNnFUtAOcDsFEUcehwIWOqkCyXViI8VZQfGCnCYwo1lJMfmmwW31UDj4X0Cjx/28NKFAOfmFEXeaHqVBdeQMl/KVmpgJWQIpMSKMUKbscJYiaMeqqTMUPY7CkAgNU4fcoZuYAIUKRPFFHUiFWXmlBxgJaAyEzYqVzC6JvZyRpJh1KcImP01gYWGBgvTskgKJuvJaT8ZmZ108M7tGJGiqKCKx1A33w+kxsP7HDDGcpOix4+4eP06MDMh8PZtCV+Q8zSINMomSued2zFcEeP4lDtUoGUnaOfnaSFyuUkTjwbyZShae9fZaxYrYKlJJQeVw9CMKXqo4iIxIKUGuKZo70ilUToVlxwjAE2ggBQGvgOsBfT741PrDfLZSSfpWWG/Q4sNGjWfYbLCsViX9Pya+9wqWz7F4fRsPH+2iTCmSUzTTmg4NWEHqM+FVBojPu2/6rPkOQPyEJseJed0oUL3mnYKl4G7w+at5rJSwOUFiaoHeA430cgSoQkMiTUZCx9/uHT/cNk4sLWisbjqMnCQt7fsMrMQWXB5uZk3yrP/H0qay5TdncNlR9C+7D1uZ2Na5z40zS9urShEmXKV9rkdL1PJxOfeCrDYUBAMOH3Axb5RUXC50H2n+43L9jtPzHhYbEqsBqnz0gbgeILm/tbO05o+A8ZR8QAl6fOhTMfVxYbGeAloxNpUtwBGvKzNvEEuc2L9fAOIlIJUKhm/Y6VR9Wgh145zStHC7N3kMsBQYRoBp/7kyZyGkUNMYXhcBoDRksD8GpXozbLZ9tg9fdDDrTW1I7gM5Nl8bi7GYkMh1oCS+Wcobl/5OrGlLZd5DLx4PqTn03A5s7aZXMdeXAZom7SI3T64bP+IwI1V2ZXLnDYPxtqfAwN9ZiNcBlqftYLNhe59FVwm5gbGhxhKGkPseJGMmRmbWSuN1UBCtoypa6ECA7FnUC5PlARKDoPUdCC0EGeCVY2t8afvhOQPzNnMjKpjZQc6AIrBcKrzddiMhsdlYqDWqS/bLlYC69mstEYzYhDMMryVy8CJ/TROt9rMr13TqIfUqsB3aG5Vdsm3HimNc3PRruayvY7WZrZtmBoxEv9C2WXbw2VG3z13R1LVFZAtHZggOece8GVve/2Mn/u5n8Mbb7zR9c+pU6cwPT2Nmzdvrvv+7du3sX///rbbnp6eBgDcuHEj9/Nbt24l35menkYYhlhYWOj4mXY6c+YMAOCdd95JttO6n4WFBURR1HU7u1kbaaqe/Y6th+86VNJBGSelna1r0AuqGUHIEVQWSWmCW1a26bYtp9Swg4U9NmaiRCwpASw1qGY+NBBKhdVAJQPLqA+4ThamFJVjI6Kkotr1ocxP2LNqxsBX3wo21fS7k9r14uOMYaLM4XIydD3BUCuxpNSCw8nhyBjVk/dM+YCKl9Zi50DSoL0dhC8sSLjClFjy0u97gjKQX7wYouqnk6BXr4VYCzROH/RwYUGSs1prrAU6KYVgB9mzt2RSTmsYau0T8ch+B82I4GHv6yBTDGqGrgHoBPahosV+pelvR6Q9IyJJz+GIT5FdDPmSKoIxjFc4Zqbal/oAkPSsWKjrpMyTbSjfjKhMhScYxkpU3rFVgqVOG/oebSeI6V0oOcDspMD7j3p4/1EPJ/Y7eHCfg48cL6FW4ut6WFh1m6wWKlRoezUom7eay4wZh21mxA1jJAtTggF7KvS7+4PLnEpGMVNuynC54nGUHYYgBioeCi6jN6Nt2eOdwuXlukbJoUj2kkvtEFrPweH0zNvyjYuZ7dgeO5Nljh96xIfn0N97Rzg+9qCf9IQvuFyo0O7SZmxmpYgnjuAQpoYfQxsHFgNCRX3ZtdLQYDnHMEALtwsNbXhPP8vZzBvgsu8gga1UNJathSl/w5gW3toFjwJ3j8tAyubJCs1xqOQjw2h5uFx+/XqE+TWFqk8snjA9BSsefU4qhn2jYkdwGVjPZq0oI8hWPxmEKtYpbksEAkiCCbKct9vuxWWAFsU/NOO1LY/52AEXr14L++LyZIXj+BRv6wBlm+AysP5ZsyrYXKjQztSwuFz1MiMKy48lrTbz9WW1jssATG/1jXH59prEteWYgp2Mz/f4Ho5R099cgxY8W23mVi5rZBJ5TFJKp+uwGQ2Py3Rc1pdtuWwrHbWOu/1wueqTnX7qgIvXr0dYaSpwRtucX1M7i8sDIKUnl3Xqs9EZLvuCnruKx3BgG7hs13akMq04zDV3BEPFseXJd78ve9sXZffs2YOTJ092/VMqlfDUU09haWkJ3/rWt5LvvvTSS1haWsKHPvShttuenZ3F9PQ0nnvuueRnYRji61//evKd97///XBdN/eZ69ev4/XXX++4XQB4+eWXAQAHDhwAADz11FN4/fXXcf369eQzzz77LHzfx/vf//4NXJmdr400VW/3HVtB2w4wtvyg/ZnDKAunEQKMKayGmuq/tzkmpYHxMjBVyf9cKqDs0CB+c0Xh+bNNSGNQakalaW0d/rIDHBx38cAUvR4cBLBI6nX7rGWCwxiooXbJXAcOAuCgTb9b+wjY2unZQb7dJEKDMnIsuMsuRVpZ+JYcJNGnWmucN9E29TCNkFGgyJgg0m0hPDvpoOwSOO3AfGBUwOXAWqjRCKkMSCQVnn2jiQtzcQIo2+8hMBOOmk8HutJUkErDF537N2xErX0ivvZ2AJen5TA4M3CHKXXBTQ+fDturOFRaxDYznx4VeHLGTaLTOQP2jbCkFInSgMOonGLN5zg8sR5YHznu44NHfXDGsNJUeP16hFMHKMrq3FyMO2sE30il18nep5urCvtGBMbKDGvB+h6QgImMitOJX3Y7Ix5D2eXwPQIWZwzvOeThg0fTmvobmawWKlRoezUom+8Gl8dKDD98ys8dSxDT5H/UZ7i1qu8bLpNxQSV3Sg6Slgo2YrUZUeZowWUywktO+20x0HNY9diO4vJkRaDsMihbQ7pFoUwz25TKb4cW8jkOTQg4pr6nw6k0onX8FlwuVGj3aVg2c0noxKGrdL4aEgP9XnDKhF0NqeRtu16atlzcRIXlbOaNcPkvnfKT/TNGY1omlgsAkp6oVvcDlz2zneNTTuLIjCXxI5Q7h8vAejZfX5H5ACmW3k/B6Bq182VaLgsBnJnx4Bu/w/4RbjKt6XMJ9/vk8pkZWvw8fdDDWkD3GQBOH/Rwc1X1xeWZKQcHRhkuLai2VSzsIspGuEzfL9hcqNBu0t32ZS83DE9iGkd5mzF0I1wOYiCKTfAvB45POXjsoAdX6KSXeTub2Y7XVg6nsdkucPqi83XopM1ymZvAVWYAYTN9uUmsynE51mhEqS/bcllr3Xbcvde4bMs3A2kiTrtnql8uT5TTuaXlsl0wdzjwnsPOXeey1GlFGIC2tRooaKXhCI6yc2/4srd9UbZfPfLII/jUpz6Fz372s3jxxRfx4osv4rOf/Sx++Id/GCdOnEg+d/LkSXzpS18CQJEUn/vc5/CFL3wBX/rSl/D666/jb/7Nv4lKpYKf/MmfBACMjY3hp3/6p/H5z38eX/3qV/Hyyy/jb/yNv4HHHnsMTz/9NADghRdewBe/+EW88sorOH/+PP7rf/2v+Nt/+2/j05/+NI4ePQqAetA++uij+MxnPoOXX34ZX/3qV/ELv/AL+OxnP3vP9nbYSFP1dt9xBKNybxnHXFbUe4uiU1jmkeUdnl7BGWKV/6UrGBhnCTTDGEnPkpLDknKuGpRl8QMHBG4sG8Ca/1iHIQMNfDWfweEck2XKwh31gcMTLj79WBlTFY6qx1D2Bmv63RoRIxXB4fJ8Pvqm3YSgEWlEUlOJDBBYPEEHrjSwFgEfOOpielSgHunEMRgpnYv8jRRFxrSDcLtG7gdHGdZCKj0YxMD15Rj/zysNzK0prAUajUjj/HycfPfhfQ6OTznJ9XcEQ9WjRvPDLCNw6oCbPI8AEERUXsRGkI2WaJHed+hZqnrk3O00NK+GQBAp1EoChyc4Hj/iYm7NlGDgtN3LCypZAOUAYk3P3JUlSTX62zh5ldb4s4sBvnGumbvvUUzRuTZ6yU4Asg3lT+x3MVnmaTQe8gvL2QmhPa7spGV/jXe93huZrBYqVGh7NSib7waXD44JvH4tXx6q7NK4nzWg7gcua01RnkoTVybKVIpKcCodbZ3lBZeJyxWPtXdcgBY4lxoaJZdvissAsGZ66lRNZPlyQ+K5t5q4cCfeMJcB+kw7Ltv3SumCy4UK3esals3sOkQGBiQMtP9mDGhKqpCQnffHisagVjFQP8yszbwRLj9/Nko3mLE1XEFjrieAqs9R8+gjox5wZLLg8k7hMrCezVIiqbTlO8Rm3yzEOiJdyG6V5fLCmsYbN2I8eYyyaMYqnJ4h4wyOMlmzd4vLpw96iCVL+sO22szZcxiUy0DB5kKFdpvuti/bVpayUUudFtA2wuW1UCeLl6cPuXjlcoTlZrpNYL3NPFpiGCkxVFyyt0Y8hgf3OHh02sXMJC3AdboO7bRpLivicqwom7MekS9bGWaGUuODx7yEy8xw2S72ASajMrOQmR137zUul11O1RI5cbnaoVp3P1x2BbAWsfxCOSMuB5IC575/g365HVwG0jmD1Onie69rvlu4vGsWZQHgD/7gD/DYY4/hmWeewTPPPIPTp0/jP/2n/5T7zFtvvYWlpaXk37/4i7+Iz33uc/jZn/1ZfOADH8DVq1fx7LPPolarJZ/54he/iB/90R/Fj//4j+PDH/4wKpUK/viP/xhC0Evg+z7+y3/5L/jYxz6GRx99FP/oH/0jfPazn8V//s//OdmGEAL/63/9L5RKJXz4wx/Gj//4j+NHf/RH8Ru/8RtbfFW2T+0GtmzkRK3E10XLVH0q5bdvlCffeWrWM7AhA06Yt5CBXmDfpTr7nAMfPu5hdspJ0tjbaX5NQyn6pX3xbDRmmC3RoKnfmu8wqsluft6MgS+92sRiUyewtA5gOxh4DkVjSKXRiBmOTQjM7HHwnsMO3rgZ46lZDzN7nOQ69KvWiJjnzzZzNdBt9E27CcHhcZGUnXA54DscsUqHNAbgpQsRTh9yUPFZMlB6ggbJ8TJPfu5x6pc2MyHWRTcBQBBrvHYtwnJD4psXwqR3WiSpWbwtHUjbZ8lgWStxvOeQh8ePePCcdEJhoT/MMgKt5QpsTXzOKOPVd2zJCg4GIJQsaXTeTgq0sD2/psBMNM6pAy4OjzsYK3GUPZONY671WIXh2ARHPaISF3dWFW4sxW0nK+fnJRbrGlLp5L7fXFEY8VgSLWbLcYyXGU7sc/CUebZO7HcxXuHwBDmvR0sck1WGkpM6YYSJOss+iVJRsEK3672RyWqhQoW2V73YDOCuc/md2zGuLaYTX89kQ1Y8ljOg7gcuB5LKAtmRd8lwZ6zMk94pnlNw2XJ5OdvvqEUagASV0N4ol1eaqq0j4ZvnQzQijbVQ4+pivEEuM8xMCuyp0kKzw6nvrSPyjhGrgsuFCt2bGpTLSpMj8LEDbu47Z2ZdcBNw4orEtwuAGFh2NKSmnqVHx0Uy75dtxlCpgXduy5zNvCEuN1TiTEukiXNgtCCrlEasGUZLQMnjeOyQ2NVcrpVofFdawxUas5POuoygWoljdtLBdy6H+PbFAN+8ECZBtEGssbBDuAy0Z3OsKbuGAqUoYMph5DBfaq4vv2lluXxlSeLCgsTpgx4eO+ji0LiDikutlbANXAbQ0WZ2jKNbbJDLQMHmQoV2m4bF5X5t5qoHHB4TSXbqVnH5j19v4vy8RKQylYiAdTazXYgsOQwHxxwcneRwHYbjexw8OevlfPr9aLNcNsmwcDjMPhnWgvRaKg1cmI8TLoPR96eqmcW+CkfFpevTzma+t7gMMBDH1Ca5XPU4OEu/7LvA//2oD8YZQrNAvq/Kt4XLnKUBzlaRonWdXtd8t3CZaZs6WGhHaHl5GWNjY1haWtr1Gbb2pW1EGp5g+MQJH69ejXF9maIgPzTjJWVfvn0pwIU5CU9QHxppoo2qHtWLjxWVcvjI8RIqHsN/fblOxp5RFjga9N0T+9yk4fT1ZYkgpubVth8PZYtq07iaom+aCeiQOPJsJNFKoJP+PZ6gfp6LdW0ahQMP73cgJUuaWw9qYAIE+5cv5yM6rFqblWcbf3NGhuF3LoW4tSKTPkIa1GNPazIobL+5MAakpt4CM5MCvstwdJzj+bdDCAb4DsOZGQ/v3pG58wGAb5xrYrFO5QxqJSrFEaw/XAA0Mflr7y3DFel1GOQcN6PW/UhFsFAAxsscz5z08d2rEc7doYbgnFNPxHYTJICAUPOAis9z91YqKiMSxjThCiTBslYiWC42NHxTKsN1qLyIlW18HptjczhQ9Ti0psgsqQnIFY/lnB2dnoVjEwIXFyQenXbw/Rsx9lYZXrgQJeVKKi5F2dnG6jOTNOnqdr3bPWevX48wO+kMvZl9q+6l8bDQ7tW99BxuC5dZapjWfI7pUYH3Hnbx8pUwGX9tlGnB5YLLg3CZmfOZrDA8NVvaEJePTJJxdnk+H0lLfRFpQdh3GMomkntQLp864GIt0Dg3FwPQ2D8i8Oq1CHfWFL1PBZcLFRpY99JzOAiXX70W4sKdGM2YMkrAiIueYxjNACGoz9femsBzbzZxZ03lHHUcSBZRlc7bzBvhstkcGKP2AY2IslhsZqljEj2kJi7b7BKpsCu5/Oi0g1cuR7i1JrEWAIfHBZ445uGVK1FHNlvfRBSjbbuZ7eRyu321svnpEx6+8laIxQZdI+j25wHsbC4D7W3ml69EuLMisdDQG+Zydtt3m8330nhYaPfqXnoOB+Ey0L/N/NSMjxcvhFvKZYAWsKRZrPUEcXc5YzO7ZsFrJ3H5zy+FUKBKCTeXVY7LYLToOlFhOS7bzNVzcxGCGJhbk5CKFvR62cy7nctZmzk0kdib4XI90ghjui7jZQbfYQhiYqzvADNT9Ly3cjmIgdVAITIltaseh1IKKyH5gEZ8vnEuryqsBgolE7Sd5XLVYzg07vS85ruBy7sqU7bQ7tL5+ZiiJgKNubrC//e1Jq4vS9RDWnD65oU0auXkPhfjZYZQ0iA6Uaa/6yE1IB/xGJRiODcX4ZUrEcpOOukWHBivMJRcAIyMv2MtEU+eg9yCrOfQoEHlhzRcwfAjp8oomdCl7ItBURpsXeknzikiyta6v7Gk2kYDDaJBmlHXShynD6YGAmcMHzzm41OPlpP+QUppEwVsmphrbZq6awjGcHhcwHOoPMKlRQVPULRVKDW+fSlcdz7n52OsBjTgR0pjsU4DY/tzoYjiV6/GuXrtd6uMQOt+yh6Vl/AEg1Yab9yMKcqc0aBuI9xslCy3kTnmz8ce8jC7181NUlrr1Fdc6rWkQM9uENPPhOl19/GH/SQ6Ryq6F7GkXgiUFQREsUI90mjE9G+X0++6XSf7LIyVBU4f9OBw+veBMRdHJgQZqpkIJc+U2pivq57Xu91zdvqgt+WO30KFCg1f28Jl8+8njnq5yOLs+GujTAsuF1zuxGXb991ymTNgogKcnHZyBuagXD51wE1KRElF0cD1QCXPOfWD0hvmMmcsia5+zyHqvzNR5XAFQ7XgcqFC970G4fLspIOyR+OGI6jHnCsoeEWbhSpfMNxclXjlSpSwOsvmh/c5GC+ztjbzoFwWjErZ2qySRkTjtq1ooUBOX1vWMZKgXrcm0ma3cPn4lIMT+5zk+55L8x8AuL3aPiMoy2Ztzr0dmreby+321crmr78TQittOEXPzW7kMtDeZv7gUR97amJTXM5uu2BzoUK7W4NwGejPZpYSePFCuOVc5qCFWJsBSoua+VYwCjuPyx845uOJYyU8fpgyUS2XHU7nVHaxjsuzk4Kylw96KLkMUjE0zIJ1L5t5t3M5bzOn2aT2D5D6tPvhctlBsr16aHoZg9h8aMzJcRlIfdlSqoTLkQRiqbAckB9GKrqPG+XyR477SWa0zUwuu2nJ6H6u+W7g8s45kkL3nE4dcKm0j/l3M6Ymz5EZYD2eDvj91mkH6OVzBUPNpxr6YyUGDvp8xWP4wQd9fPh4KffiPTXjo+zRv23q+qFxJ3H6PTXj4rVrMXyHBjrHDEgATfSDWMEXaVkjpYEnjrioeilcwkwqx0Zrym+2GXX2+zaaJjR9W5qRSqKq1kIKc11pSlxZUHj5coRH9jtgjM7D1tBvPZ9TB1zMTgq4ZuRQSK9TVsz8qYfA9ZbBslsZAc6pdES35vD9qt1+bIkG36XeRcenaAIlOMHmmZM+9bIzxmXNo/IeNZ/h5rJO+sBatcLSd+k5tJMkew3tZMThnCYl3NwbqbEWAUql/XWWMxAETG+jCmtbbqG1PHi762UnicwYup84UcbxqcH7RBQqVGj3a7u4/LEHfRzf6+Ymxdnxt+ByweVOXP7UIyVMVnnSY8ZyedRnYOCQkiV9bYDBucxN2eMH9or0XkRkTNoSlysFlwsVKrRF2kouA5T5OVkhB/FYieH2qsLhcYG9I3ydzTwol6s+g9IsYU6kNJqxzmVFeJzKI9pKFyWHFt+A3cFlzjUe2CPw0sUwKdm3ETbvVC532leWzacPuAlLj064BZcLFSp0T2sQLgP9sdkRLM1U3WIux4olmbex/v+zd+fxcVX1/8ff997ZkjZJm25JaWhLoRttKZalBYHaQmUTRFAB2WQR5ScqoijyVTa/bH5RcEFBWVxAUUHZFcoiImUVKEUWga40XWjaJm2SWe49vz/u3MlM9m2SSfJ6Ph55tJm5M3Pvncl9z7nn3M+RGpK5V+YWYi5nP0dDoimXLX+clGobCzuXIyFp7DC7w6zprK60mSOOrUmjQppREVJZzMqUgY6E1Ou53Pxc9o5EU0Ur10i18dzfbVvdzuWSmK0Fk6KKpuejrywL6djZRdplRCjnuQY6yhcXmMFU9kGSkq4/sqgx1fQxs+WPPKksa/1y8+zL6AORkP/HXJ8wem5VXImUMiUQm5cLamvUQ3uXrq+sSeVcih92/JEfCdcPqqjjj85IpIw/GiXqH7TiSaO6uEmXhvBvC9bVsVs5yndg+fpEi5IA2fuhqtwfPdKZxwdzswSjl9ODpDKjpCwF85v5DZBISJ3aHtczevztBm3Z6S/XfA7B7PIbkj+q57BpsZz3pa2SFZt3uvI8q8vvbVs6U64ge5kV1Umt2ZJSQ8p/z4siVrv7PyhtEnwe5+wS0qNvxbWtwfPLKkT9LziuZxQJWVo0LaLXP3D13odJf4L69PvQXmlGSRpXamvJ9KKc9ZfU6b+F/ix12BOD7XiIgWmwfQ7J5a4hl/s3l23L0msfxPXOJldRR5kTpG29B53NZUkqL/bn7N2zMqSlb8X14U6/XJbVQQkoiVweLMdDDEyD7XM4UHM5yCi/4yw9163tz/Ul4+fbyGJbrjtwczmSHnCWco2s9HvQ1Wz+cGdT2ciAlX6dQsjltl4rO5PIZXIZaM9g+xx2J5eltrN534kRvbg6QS534jmCwTiW/DZt8A4E2VxoubyiOqmxw2y9Xp3s1vvblnyey+5uLr+2LpVzLruteWwD40osfXxGcbdzubP7odB05XhIp2yBGUxhFtRBr651Vdfo5XyRjoWkY2bn1mjPfkx7ddp3xk2v/1E2PyjNnRDWv9cm9O5m/yg2LOqPGvEnVPcvoTfGZOqah+3ceUy6W1O+tfUIDlC2bTRmmKOP7Bpp96AcPH5ciS0j6b+bU0p5zUry2lJR2FJDsmny7c5sjyT9e01C729JZa7szD6C2JZUGpUaU/6k4CFbWrh7NGfOhbb0RpD3VHv7v60wbR6Eq7aktCNuMh0E9Qn/y4Hk7/fhYX+i9niqaR5kWbmBln2CPhaWDpsWU2mRk/O6hbC/8m0wHQ8xcA2mzyG5TC4PtFyWup7NHeVyPD2nXcoNTk5YSqVMZnRvsI+zG0jksm8wHQ8xcA2mz+FAz+VX1yVVvT2lHQmj4oify/VJv2RjScyWBnguF4ctKT1dQjDgqavZHMyxmy2SrvSR9EQuk8s9MpiOhxi4BtPnsDu5nP24trJ59zH+nJlDLZcjIWl2ZVibdnoddjA+tyqueNLIsv3zqI1Jf55TS00legstl6XCyJq+yGXXlXYmTM4FRtl/H5aUeb+Kw9Jh08ll5pRFmzpzyXhPrKhOZmrve8r9sDWmpMffjrcoY9CZOu35qAselJwI5ruz/OO8X3IiPUrEsvx5euLpCbAbUspMNF0csTLz0mSva0/XI5gTd2ypLcnSxjq/pKHr+YG/tsbVc6vimfcs+/Ef2TWij1RFNLLYzjQuw46lUcNtTR4Vkp2eL2W4P+d5p7ZnRXVSK2vczHx1wfyrgWhIioRsFUf8uQR3HelobLpUQUefr+wa9VLugbm7ZTS6qq39X1XutDm6KfvzOHaYrZ0JI9dIIUs6ZPeoElmjr11P2h736+3b6afKzPWQZqc/e5aVLvewR7RFkEmFsb8A9C5yuQm5TC4HuprNHeWyJX8OOzedzbWN6akE0h/95qNVbZHLwFBFLjdp7Vi814SQQo5/AjTI5eJ0qbn6hBnwuWxZ/jrPnxzJ7OeuZrO/Vk0c288b2yaXyWUAXVWIuRw8rr1sXr3VHXK5XFXuaHZlWK9XJzOlhjvK5l1H+dPKlUQtf+5by9+Xows0l6XCyJqe5nJ9wvhzw6aMDpoS8ctBN8tlf/7hpn1nNTvvYKUHtFmWVFHmaHgrn+1C2FeFhE7ZISoYRdHRgbEnJpeHlHBNpvZ+SdRSLH1wtCUlUibngF/X6CmRNAo7fsCNK7E1drij8mL/Y5rvmuHZB6UV1UltrPVUHPaDLBJqGn3TmPJrrAcTrAfzty3cI9qiVnpP10PywzoasuSl35INta6eeKexxcTlzR8vpev3e1JpzFIk5AdzMuWv7y4jbJVEbXme/zqd2Z7J5SENj/rLhW1Le4wJabfRTmZC8eFRWwsmRzSu1NawiK2t9abTn6+uTA6fTz05ibF2uyuT3rQdcaOn/tsoN2ugnDFNo4c8r+n/wWgif6GmTlrPSM+vbn0OhkLZXwB6B7ncErlMLge6m82t5fKOeFOmGuPPUxeUrczc3ux5yGVg6CGXW2p+LP7PhpRcT5kyd2HHz2VP/rxknjEDOpcnjLS138SI3tvsZk4cdjmbHUu7jXY0Zpj/3tryy0eOLyOXyWUAXVGoubx8fUKTRjqZ9qlj+yWLeyPvOlLIuTxnfESbdnqZ/OxMNs+qDGv5B/42DI9aioUsDYvYBZvLwbYWQtZ0N5c37fQUdfycbUxJD73RKC9rPiTPSCm39XLFptkvJl0m+4Ntrl5fn2ixfKHsq0JBp+wQtbIm1ekDY3eVxGwdMCmiovSk0ZVlIR0zu0ijim1/YvKIlTngB+G6sc5TSczRLiNtyZLWbXNVl/A0ttTu9hwpHWltpFU8ZTJXMgYTa4ccKzOqJhrya7QPi/gTqhvP6M2NqQ6vquyu7owmyR6p5aSvvgkObxtrPW3a4ammvulA25ntKYnZ+uhuMe0+NqRp40Kat2tECyZHtWdlSFPHhPTR3aIqK3K61CgO9Mbk8P0t4lgKOZZsS0oZactOI1dZHa7pGg+ZjljL/yzZVlPHrGX7o4uk9Jc+17Q6Wm0w7C8ATcjlXM2zeeJIR3HXyDWGXCaXO621XE6ZdHlK+Tks5c7tHnFyyyKSy8DQRC7n6kybeVxJSEHLx5ZUFrMHdC5blqXVW92cq5+6k80LJkf18ZlFmjYupD3S2VwSs8llchlAFxRqLq+tcfXfza723TWikGMp5Ukvrk5o9zFOXvIuUOi5LHU9mwdaLksDP2tmVYZVFLEzFSgaU9KORLoaRXqZ9LTEmfPZEUcKO1lXzcqvXBFktetJyVZ210DfV72NTtkhqK7RkzFG40r9t99I2tbgn+iUeveS8YqykA6bFtOuo/zJ0MOOrSUzYpo0OpRzwM8O15qdnjbXedpY6x8NkykpGrLyFmKtjbTaVOsfcsaV2JlL/xdM9oN5WNTSLmUhLZoa0y4jQioOW4qG/WDujRIUrenOaJLJ5aHM8sEJ7OzRQnMqwy3u78z2lMRs7btrVHvt4o/AsS1Le+0S1T4Tm97PnjaKg3UMdLeMRlvyVfJk9viwJo9ycoMrfXVsNOSXaJKyymUYaXK5o0W7RxR2/BCLhSwdPiPqf+mLWioKW62OVuvL/QUg/yaNdOTYTaMN46n0/C/pTsihkstS69n87mZXIcu/emKPMQ65TC53Smu5LKVPShRbcprlsiV/VPbHpoTJZWCII5ebdLbNvNvokEYU+ydGJ40K6bDpAzuXg6tr8pHN5LKPXAbQWYWcyxtqXb24JiE3XREvkVKmZHF/nsvuz1yWup7NAy2Xpb7Lmnzlsm1ZWjwtmrkiXFKmdHc4fRGR3TybLWnCCEejhvnz+0ZD0uhhtiaVO4o4lkYU25o2rn+/xwwEdMoOMcGBe91WT8b4f2D1CaOEa7Qz7pdZ6O1LxjtzCX1/1RVvb6RVMiXVNDQd3EpitqpGOhpf2vn5RntLd0aTdFRTvqIs1OX5U6XOBUG+GsVd1dq6vrgmrmfez2/JE0lSuva+MX6gpTx/NLAlSelQM5Y/OrhiREhHzYxpzHBbh06LamRxyP/SNyrU5nuRj/0FoH/UNXp6fnVCKddk5kcNsrk+YTRltDNkcllqO5sd21LIkp5b7R/Xy4ocLZ4aVSxsZTpqyeXCzuXW1nd7g6vH3m7Uqi2pPsnl4N/aRv/qHJmsxqbl/+192CByGRjCyOVcnW0zl8Rs7T8xorIiS3tWhAZ8LgdX13Q1m8nlTiKXAXQSuZxrIOSy1PVsHmi5LPXNuex85rJnjJZ/kFLU8a9KDnLZNf77ZOT/bkuZc9kpz5+/96ApMe1ZGdK0cWEtmBzV/MlRTRvXdOVxc+RyLsuYIXZtcIGrra1VWVmZtm/frtLS0l5//uXrE1pb42bmYXO9ptGJkl9OZsIIR8URaXY6gDzjl4OZXB7K6wHb9YyeeKcx52AdCUmLpsbk2L0Xrtk84x/IskdqBOuS9PwRx5WljuZOCOvVdf5ykZD6JLyyBe9bIBLKDfyqciczL04+BZ36iZR/AG1rv7S1XyX/cXtXtR5odY2eVtakNKsy3OPPXlvr+v6WlJKuUciWiiO2oiF/hF1D0igakiaNCnV7X772QVxvb0wpmVVvv/kBNpSeqD7u+qE2LGJp0ujuvWZv7q9ClO/jIdAZffE5XL4+oTVbUqpPmkw53uxsHhGzNGGkMyRyWRoY2Uwud++z19r6PvZWo7bUe7Lkz4M7stjONAAbkkaTyx3tMzHajb3Tei5LudlsSxo1zFJdvOnvb/exIe27a9dfk1wG8o9cJpdbQy6Ty21tH7kM5Be5TC63pRCyOd+5HLxGPs9l5zOXg7+tnQmjRNamZ+eyJWk0udwpXTkeDvytRZcEI3kaUlLSyy0XE7YtRUPSqi0pvbMpz1cRNtNfdcXbGgmTMn6IWcrfXAVdUSijSTo7h0N3SxJ0d2Lyjtb1g+0p3f96g6prXUUcfzBCY0ramfD8kifpEXZJ12jSSKf9J25HMqWcgQ6OnTWfbFrIkaaMcVqdk6KrenN/Aeg/syrDmflRpaZyMZL/pXt7oxkyuSwNjGwml7uXM8H6usbo/S0pPfFOo1KuX6kl5fmDpLbWN41+N8aopt7t9ue8tVxuLuxIlSMc7TYqlC63ZGn62O6NbCeXgcGBXM5FLnceudw+chlAd5DLuQZCLkuFkc35zmUpP+ey+yqXJ5eHlPCkRPrhtt00v3vAtsjlfBh6WzzEBQfu4dGmNz9s+yMRJ49yFE8fqKJO9w7g3a1x3pWDX2/WUW8rRCPpg1AQoX1ZhqI13SnPkA+dLc/RWvCWF9uqTxqFHaPJ5aFeq3/f0bq6xi/NXZ806c7XponiEympttFT0jOyJUUdS6u2thwV1VnTxoU1othWLCSVD7NUGvUHOliW5FhSLCTtNiqkvXaJtjonRU/la44BAPllW5bmT45k5tEK21JJ1FIsPYeHpaGTy8HjCz2byeXur2/5MFs74/5gqK31RrIsuemPmpGUdI3qGj25nlFx2FLStbp9AqEzuTwlXa3iI7tG0uWWYuQyMMSRy7nI5c4jl9tHLgPoDnI510DIZakwsplcbl9JzNYBkyIaFvHzOGxLZTF/rlhb/t/X5PQVzeRy76JTdogJDtyeZ2lYxJ/sO/gDtiTtMcbRpPJQpsxCVw7gbU003pnRSZ0dPdOT12hNWyFqWZaM5185ma2jWvL51JXRJPmcALwzNfabB299wqguEcxp4Kg4YuV95FqwrtkjcZOeUco1mVE/Rn6dfMlfxrItzaxo+qx1dR+WxGx9dLeopo0La8n0mKJh/+8rFrJUErU0stjW3lVNk8r35mig3v7bANB3PGP03mZXxeGmXLYsS1HH0vCorYkjnSGTy9LAyeaujvLMRzYPpFwO1rcoq0JV0jOqbfDkmabKEl7WT33SaFyJrVmVYXIZQJ8hl3ORy503lHJZ6vo+JJcBdAe5nGug5LLU/+eyyeWO92FFWUiHTYtp2tiwRhT5+VsatRQNWxo1zNL+k6Pkch7QKTvEZB+4HdvSiCI/yCRpY50n27a036RIlye2ljpfEqA1nR0905PXaE1bIWqMUTxdHiBbX5Sh6KmODmobtqe6HXJdKc+RHbwra1JKpvyRa+u2uXr87QZtqPXnNt7WYPTWprbLQHRXsK5hx1I4ay6HlGmav8aSMiPtbEnGSP/ZkOp2MAS18WdWhLT8g5TiSaOG9HY7ttUrn5+2Avbtjcle/dsA0HeCbHZsv4EZDfsHJsuy5HnSsKg9ZHJZGnrZ/Mz7jXppdXzQ53KwvilXOXMsuWoazW1bTbks+SUOw46lnXFTsLkcvE7zbF62Kq6GpP87uQwMLORyLnKZXM7cl85l27K61WYmlwF0B7mci1wmlzP39UIuL1+fUFHEL4+cSPkdvZ6RisOWPM8il/OETtkhpqORPBNHOt2uid/ZkgBt6czomZ6+Rmuv2VqIRsKWwo4lJ70uXakl39/aC/yGhNGzqxLdHoXS3Rr7syrDKi+20xOH+wFmjF9S2Bhpa73X6yNggnW1JBVHrExoWaYpzMKOP/9E2PZHGMVTRo1JT29t6noHZ3b4LX0rrurtKdUn/e2tTxq5XlPQdPfz017A1tS7Kh/W9LfS32VKAHRee9kcDqXnvR4iuRy87lDJZtcz2lZvtHII5HKwvhtrPRVHLL8ckppG/Jr0/4NcDm5bty2lNzcmCjKXm79O9nuYSPqj1N303yi5DAwc5HLL1yWXyeXgtnXbUqptcLvc0UAuA+gucrnl65LL5HJwG7k8MNEpO8R0NJJn9Va32xNbd7YkQE/k4zVaC9EFk6IqSo+86q/JyLurvcCPhPxSH1L3RqF0d5J227JUHGl6b5KeVBc3cj2/wzSZhxEwwboa+XMqDI9YCtuSCTpnJSVdfySQMVLEsZR0jVbXeNpa76m8uGsdnNnhl3CNdiSMkp4Utv1yKpFQ05ei7n5+2gvYpOuXuMjn3x+A/Ggvm0cW26qpb/qyPxRyWRo62RxPj4ItCluDPpeD9Q1OnDjpuaAiTbtFrvGz2bb8XLYtaVuj0bpthZnLzV8n+z0MSqq5zdrq5DJQ+Mjllshlcjk7l5e+E9fEkU6XOhrIZQDdRS63RC6Ty+TywEan7BDU3kie7h6spK6VBOiuvngNKT+TkffV5NXtBf7iaVFV9nAUWHf2i2f80S/ZJTQy9e8TRuNK7V4fAROsayQkGc/IsvwyJ0VhKWQpM9QoZPudtinXH+0UdaRkyg/Zrnxpyv4C4aTDO+L4/1aWOjp0erTHk9m31+E+rsRWylXe/zYA5Edb2Tx9bJhcTuvtbO6rXJbazuaymDR5lJMZ/TqYczlY35HFtixLmbmgRhRZioWaRgBblhQLWbItI9f4jZWQVZi53Px1pKb30Bgjy/ZHq2cjl4GBgVzuGLnc0lDK5dVb3S51NJDLAHqCXO4YudwSuUwuFyo6ZZGjJwfw7pYE6Iq+eI1AVyYj70hfTl7dXuAv/yClObuEejRCqzv7ZUV1UhvrPBWHm8ovBFzPKOQoLyNgSmK2FkyKZuabqCwL6bg5xZo8KqRYyO+gjYX8ztqQY2lYxJJjWxpXaivpdq38SfMvEE66Ezia3rch2+7xhOjtdbiHHUsba7s3OhBA4SKXc/VWNvdlLkttZ3PSbVlaKvh9MOayJE0fG9aIIr+BWVHqaPG0Ik0ZHVZpzFLYkYaFlRk1G0ln8/gRTkHmcmuvk1m3dCWOYC+Sy8DgQC7nIpdbGgq5vMuIkGZWhLrU0UAuA8gHcjkXudwSuUwuFyI6ZdFCdw/gPbnKtrM6+xp9OZqnM/IxsXtb2gv86u0pPf52vEsnNXtjX04uDyns+DXpHdtSScxWOGvS8oaE8jYCprUvaPtPjmjauJAOnR5TUcTKXEXr2P5VOCFH2ljXtQ7O/h5hV58wCuf57w9A/xgMuSwVVjb3ZS5LbWezMUYrt6S0rSE3I4ZaLu9dFdbk0SEdMTOm4qj/uc5UuIhYBZvL7b1OyPLnqjcil4HBhlzufeTywMrluRPC+s+GVJc6GshlAPlCLvc+cplcJpfzi05Z9Jp8lPztzmv09WiezsjHxO5taS/wE55fJz7Q0QG6t/ZlScxWebHjB0bEkiVpZHF6RE/UUs1OL68jYFr7gjZppKPnViYUD8omSKpPGjUkjRoSUtjx91Nng6G/R9jV1HsaWWzn9e8PwMBSKLks9f1I2470ZS5LbWdzQ0pyPSmavo9cHli53N7rOLY/l30kJHIZgCRyuT3kcuHl8qzKsN7c4J8ID84gGEnbGoxeWJ3QpJFOlzozyGUAhYZcbhu5TC6Ty/k1uLcOfa43S/529zX6ejRPZ/TF5PGB9gL/gEmRLk363pv7ctq4dPmFrNfebVRIjmX1+QiYukZPS9+Ja0u9p/qEH2bxlFHCNdoZN9q8w1V5sdOlL2aFMMJu+thw3v/+AAwshZDLUuFlc1/mstR2Nk8a5WhEsS0nXZqIXB5YudzR6xRFLC2YFCWXAWSQy60jlwsrlyXp32sSWrUlpYRrMlWZ6hN+Nq/aktI7m1Jd6swglwEUInK5deQyuUwu55dlzCCfNXeAqa2tVVlZmbZv367S0tL+Xp0ByTP+KJjsURiBilL/wJSvuu9tqW1w9ezKhFKeXyvdSGpIGkVD0i5loT5Zp7pGTytrUpo40tHqra5mVoT0nw0pTRrpaNVWV5PLQy0Oer29L4N1mFXpP84zRiuqk62+dj4tX5/Qqg9T2pkw8iTFQlLUsVSfNEp6UlHY0mHTYt2acyHf21co+7AvcDxEIeBz2DsKLZvJ5dx16O9MGci53Jev0984HqIQ8DnsHeRyS+RyrhfXxPXuppQ8SWFbGlFkaVuDn8u2pN3HhrTvrtEuPSe53Ls4HqIQ8DnsHeRyS+RyLnK58HXleEinbIEhzHqH6xk98U5jTnmFSEhaNDUmx+7bDtm6Rk+Pvd2ohqRR2PbLHsRTRo0pI1vSsKilSaNCmjM+ktd1eG6VP5dsRamjuRPCenWdH1KRkNotC1BI+7K3BCH9wbaU4q5UFPJr8RtjFHIsLZgcUVmR0/ETIa84HqIQ8DnsPYWSJ+Ry4SGXBwaOhygEfA57T6HkCblcmDxj9PzKhNZtd3NyuSElTShztP/kSJ8PdkcujocoBHwOe0+h5Am5XJjI5cLXlePh4OmKBtL6aqLqzlpZk1LI8v/Ykp5RPOUp6vijWjxJKS//JQ+6W76h0PZlbwnKcBRF/EnRrXRoRcOWDpse48QvAPSyQsoTcrnwkMsA0LcKKU/I5cJkW5b2mxTxSzemc9myLI0o8m/nxC8A9J5CyhNyuTCRy4MLnbIYdPpqourOmlUZ1i4jQhoW8ScEjzr+wbM4bGlUsa3FU/M/eXV3J2gvtH3ZW/o6pOsaPS1fn8g8r2eMlq9PdHqCeQAY6AopT8jlwkMuA0DfKqQ8IZcLU19mM7kMYKgrpDwhlwsTbebBhU5ZDDp9NVF1ZxXC1R/dnaC90PZlb+lqSPckiIKSG2trXL2yNinX80s0rq1x9dyqOGEGYEgopDwhlwsPuQwAfauQ8oRcLkxdyWZyGQB6ppDyhFwuTH2Vy8Hjyeb8GlCdslu3btWpp56qsrIylZWV6dRTT9W2bdvafYwxRpdddpnGjx+voqIiLVy4UG+88UbOMvF4XOeff75Gjx6tYcOG6ZhjjtG6desy9z/11FOyLKvVnxdffDGzXGv3/+IXv+jVfYCOlcRszZ8UVVW5P4G3Y1vauyqsqnKn3Zrz+VIIpRO6uw6Fti97S1dCuqdB1N2SGwAwmBRSnpDLhYdcBoC+VUh5Qi4Xps5mM7kMAD1XSHlCLhemvspliWzuC5YxA6eY9hFHHKF169bplltukSR94Qtf0KRJk/TAAw+0+Zhrr71W//u//6s77rhDU6dO1fe//309/fTTevvtt1VSUiJJ+tKXvqQHHnhAd9xxh0aNGqULL7xQNTU1evnll+U4jhKJhGpqanKe97vf/a6WLl2q999/P6eO9+23367DDz88s1xZWZmKioo6vY1MkD74LF+f0Nqa3JEs2aFSVe7kdXL0QlmHQlPX6GllTUqzKv0RVp4xWlGd1OTyUE5I93TfecYPv+zRTIGKUv9LAnX/W8fxEIWAz+HgUwiZWAjrUGjI5cLH8RCFgM/h4FMImVgI61CIOpPN5HL/4XiIQsDncPAphEwshHUoRH2RyxLZ3F1dOR4OmOEBb775pv72t7/pV7/6lRYsWKAFCxbol7/8pR588EG9/fbbrT7GGKMbbrhBl1xyiT71qU9p1qxZ+vWvf636+nrdddddkqTt27fr1ltv1fXXX69DDz1Ue++9t373u9/p9ddf19KlSyVJkUhEFRUVmZ9Ro0bp/vvv15lnnpnpkA2MGDEiZ9mudMhicCqE0gmFsA6FpiRma874ponQbcvSnPGRFqOmujuPQaC7JTcAAPlRCJlYCOtQaMhlABiaCiETC2EdClFnsplcBoDBpRAysRDWoRD1RS4Hz0s259eA6ZRdtmyZysrKtP/++2dumz9/vsrKyvTss8+2+piVK1dqw4YNWrJkSea2aDSqQw45JPOYl19+WclkMmeZ8ePHa9asWW0+7/33368PP/xQZ5xxRov7vvzlL2v06NHad9999Ytf/EKe1/4l4fF4XLW1tTk/GFwKoXRCIazDQNXTICqEsh8AOo9cHvwKIRMLYR0GKnIZGFrI5cGvEDKxENZhoCKXgaGFXB78CiETC2EdBqre6FAlm/NvwHyCN2zYoLFjx7a4fezYsdqwYUObj5GkcePG5dw+bty4zH0bNmxQJBLRyJEj21ymuVtvvVUf//jHVVVVlXP7lVdeqT/96U9aunSpTjzxRF144YW66qqr2t2uq6++OjNHbllZWYvnxODQ2as/Bvs6DEQ9DaKuTMQOoP+Ry0NDIWRiIazDQEQuA0MLuTw0FEImFsI6DETkMjC0kMtDQyFkYiGsw0DUGx2qZHP+9fun+LLLLpNlWe3+vPTSS5LUolSw5Jcobu32bM3v78xj2lpm3bp1+vvf/66zzjqrxX3/8z//owULFmju3Lm68MILdcUVV+gHP/hBu69z8cUXa/v27ZmftWvXtrs80JfqGj0tX5/IHLA9Y7R8faJTk4IPFj0NIkpuAAMLuYxCRi6Ty8BQQy6jkJHL5DIw1JDLKGTkcu90qJLN+dfve/DLX/6yTjzxxHaXmTRpkpYvX66NGze2uG/z5s0troQNVFRUSPKvhq2srMzcvmnTpsxjKioqlEgktHXr1pyrZTdt2qQDDjigxXPefvvtGjVqlI455pgOt23+/Pmqra3Vxo0b21zHaDSqaDTa4XMBfa2u0dNzq+JKpKRkyi9x8Oo6/8C+sdYdMuUiJpeHtLHWVSLlB1H2fuhMEAUlN7InYt+7KqwV1cqZiB1AYSCXUajIZR+5DAwt5DIKFbnsI5eBoYVcRqEil309zWWJbO4L/b4HR48erenTp7f7E4vFtGDBAm3fvl0vvPBC5rHPP/+8tm/f3mrnqSRNnjxZFRUVeuyxxzK3JRIJ/eMf/8g8Zt68eQqHwznLVFdXa8WKFS2e1xij22+/XaeddprC4Y4nRX7llVcUi8U0YsSIruwSoCCsrEllSh1sqHX1xDuNmZE2iZR/f3/py5FPvTGPASU3AAA9RS77yGUAQCEgl33kMgCgEJDLvt6aj5dszq9+v1K2s2bMmKHDDz9c55xzjm6++WZJ0he+8AUdffTRmjZtWma56dOn6+qrr9Zxxx0ny7L0ta99TVdddZX22GMP7bHHHrrqqqtUXFysk08+WZJUVlams846SxdeeKFGjRql8vJyfeMb39Ds2bN16KGH5qzDE088oZUrV7ZauviBBx7Qhg0btGDBAhUVFenJJ5/UJZdcoi984QuMIMKANKsyrGRKOQEWqCh1NKuy44EJ+dAfI5+CIAoEQQQAQF8hl5uQywCA/kYuNyGXAQD9jVxuQi4XvgHVtX3nnXdq9uzZWrJkiZYsWaI5c+bot7/9bc4yb7/9trZv3575/aKLLtLXvvY1nXfeedpnn330wQcf6NFHH1VJSUlmmR/96Ef65Cc/qc985jM68MADVVxcrAceeECO4+Q896233qoDDjhAM2bMaLFu4XBYN910kxYsWKA5c+boxhtv1BVXXKHrr7++l/cC0Ddsy9LcCeGc2vOSXzt+7oRwZqRMXyvkkU8AAOQLuQwAQOEglwEAKBzkMgYSy5j0ddMoCLW1tSorK9P27dtVWlra36uDIcwzRq+szZ0cPFBR6pdA6I9AK9T1Qu/jeIhCwOcQhaJQ869Q1wu9j+MhCgGfQxSKQs2/Ql0v9D6OhygEfA5RKAo1/wp1vdD7unI8HFBXygLoOyuqcwMje6TRhlpXK6qT/bBWhTvyCQCAfCKXAQAoHOQyAACFg1zGQEKnLIBWTS4PZQKjotTRoqkxVZT6Jb0jIf/+/uAZo1fXJXPmBpD8kg+vrktmJk0HAGAwIZcBACgc5DIAAIWDXMZAQqcsgFaVxGzNnxRVVblfSsGxLe1dFVZVuZOXScg7q1BHPgEAkE/kMgAAhYNcBgCgcJDLGEjolAXQppKYrTnjI5lSCrZlac74SL8FmVS4I58AAMg3chkAgMJBLgMAUDjIZQwUdMoCGFD6euRTXaOn5esTmXISnjFavj6hukavV18HAICBiFwGAKBwkMsAABQOchmtoSsewIATjHwKBCOfeltdo6fnVsWVSEnJlD8B+6vr/LITG2vdfi1/AQBAoSCXAQAoHOQyAACFg1xGc7wLANCGlTWpzETsG2pdPfFOY2YegETKvx8AAPQNchkAgMJBLgMAUDjI5YGDTlkAaMOsynCmzr+kTLBJ/jwAsyrD/bBWAAAMTeQyAACFg1wGAKBwkMsDB52yANAG27I0d0I4MyF7IBLyS0AEE8cDAID8I5cBACgc5DIAAIWDXB446JQFgDZ4xujVdcmckUWSP9Lo1XXJzKTpAAAg/8hlAAAKB7kMAEDhIJcHDjplAaANK6qTmdr7knJGGm2odbWiOtkPawUAwNBELgMAUDjIZQAACge5PHDQKQsAbZhcHsoEWEWpo0VTY5na/JGQfz8AAOgb5DIAAIWDXAYAoHCQywMH7wQAtKEkZmv+pKhW1qQ0q9Kvvb93VVgrqv0gK4kxrgUAgL5CLgMAUDjIZQAACge5PHDQKQsA7SiJ2ZozPpL53basnN8BAEDfIZcBACgc5DIAAIWDXB4Y6B4HAAAAAAAAAAAAgDyiUxYAAAAAAAAAAAAA8ohOWQAAAAAAAAAAAADIIzplAQAAAAAAAAAAACCP6JQFAAAAAAAAAAAAgDyiUxYAAAAAAAAAAAAA8ijU3yuAXMYYSVJtbW0/rwkA9K/gOBgcF4H+QC4DgI9cRiEglwHARy6jEJDLAODrSi7TKVtg6urqJElVVVX9vCYAUBjq6upUVlbW36uBIYpcBoBc5DL6E7kMALnIZfQnchkAcnUmly3DkKqC4nme1q9fr5KSElmW1d+rM2DU1taqqqpKa9euVWlpaX+vzoDEPuwd7MeeC/bhmjVrZFmWxo8fL9um2j76B7ncPRwLewf7sefYhz1HLqOQkMvdw7Gwd7Afe4592HPkMgoJudx9HA97jn3Yc+zDnutOLnOlbIGxbVsTJkzo79UYsEpLSzmA9BD7sHewH3uurKyMfYh+Ry73DMfC3sF+7Dn2Yc+RyygE5HLPcCzsHezHnmMf9hy5jEJALvccx8OeYx/2HPuw57qSywylAgAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkMCtFoVJdeeqmi0Wh/r8qAxT7sHezHnmMfAgMff8e9g/3Yc+zDnmMfAgMff8e9g/3Yc+zDnmMfAoMDf8s9xz7sOfZhz3VnH1rGGJPHdQIAAAAAAAAAAACAIY0rZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyCM6ZQEAAAAAAAAAAAAgj+iUBQAAAAAAAAAAAIA8olMWAAAAAAAAAAAAAPKITlkAAAAAAAAAAAAAyKNQf68Acnmep/Xr16ukpESWZfX36gBAvzHGqK6uTuPHj5dtM4YI/YNcBgAfuYxCQC4DgI9cRiEglwHA15VcplO2wKxfv15VVVX9vRoAUDDWrl2rCRMm9PdqYIgilwEgF7mM/kQuA0Auchn9iVwGgFydyWU6ZQtMSUmJJP/NKy0t7ee1AYD+U1tbq6qqqsxxEegP5DIA+MhlFAJyGQB85DIKAbkMAL6u5DKdsgUmKPVQWlpKmAGARAkc9CtyGQBykcvoT+QyAOQil9GfyGUAyNWZXGbSAQAAAAAAAAAAAADIIzplAQAAAAAAAAAAACCP6JQFAAAAAAAAAAAAgDyiUxYAAAAAAAAAAAAA8ohOWQAAAAAAAAAAAADIo1B/rwC6z3VdJZPJ/l4NoFPC4bAcx+nv1QCAvCGXUUhCoZAcx5FlWf29KgDQL4wxcl1XqVSqv1cFaBdtZQAAgKGDTtkByBijDRs2aNu2bf29KkCXjBgxQhUVFZwgBjCokMsoVI7jaOzYsSorKyN7AQwZxhht27ZNmzdvluu6/b06QKfQVgYAABga6JQdgIITv2PHjlVxcTFf2tEprmeUSBnFwpYsy5IxRo1Jo0jIkmPn9zNkjFF9fb02bdokSaqsrMzr6wFAXyKX0R35zGVjjFKplGpra1VdXa2GhgayF8CQEeRyaWmpSktLFQqFyGZ0qL/ay7SVAQAAhhY6ZQcY13UzJ35HjRrV36uDAcL1jBJxIyssebZUHLFUn/B/dyXFIvnvmC0qKpIkbdq0SWPHjqU8E4BBgVxGd/RVLpeUlCgajerDDz8kewEMCa7ravv27RozZoxGjx7d36uDAaK/28u0lQEAAIYOu79XAF0TzFVXXFzcz2uCgSSeMvLS/096Ul2jUTJ9g5e+vy8En1vmXAQwWJDL6I6+zOVhw4bJGEP2AhgSksmkjDEaNmxYf68KBpBCaC/TVgYAABga6JQdoCi/hK4oClsKZ/21e1n3hW3//r7A5xbAYMXxDV3Rl7nMZxPAUMSxD11RCO1lPrMAAABDA52ywBBgWZaKI1aLP3hbfmkmGoAAAPQdchkAgMJBLgMAAKCv0CkLDAHGGNUnTM6IX8kfAVyfMDKmb8oXAwAAchkAgEJCLgMAAKCv0CmLgrN8+XKdddZZmjJlioqKilRUVKQ99thD5557rl566aX+Xr0esSxLl112WZv3L1y4UJZldfjT3nO0piHZNCeOJDXW1+ua71+uZ55+SknPvz9w2WWXybIsffjhh13cOgDAYEQuk8sAgMJCNvduNjfPZVtSfTqbn3zqqZxclshmAAAAdF+ov1cAyHbzzTfry1/+sqZNm6avfvWr2nPPPWVZlt588039/ve/17777qt3331XU6ZM6e9VzYubbrpJtbW1md8feughff/739ftt9+u6dOnZ26fMGFCl543GrKUcv2Rv2FbSnoNuvaqKyR9TwcfvFDREOWYAAAtkcvkMgCgsJDNvZ/NzXO5OGJpa029rr3qCln6no447GO9uQkAAAAYwuiURcH417/+pfPOO09HHXWU/vznPysSiWTuW7Rokf7f//t/+tOf/qSioqJ2n6e+vl7FxcX5Xt28mDlzZs7vb731liRp1qxZ2meffdp8XEfb7NiWhkWleMqoKGypIT0njmNLw6KWHJuTvwCAXOQyuQwAKCxkc36yuXkuB3PMSlI4JHIZAAAAvYbyxVBdo6fl6xPy0vOkeMZo+fqE6hqbz6iSX1dddZUcx9HNN9+c07jM9ulPf1rjx4/P/H7GGWdo+PDhev3117VkyRKVlJRo8eLFkqSamhqdd9552mWXXRSJRLTbbrvpkksuUTwezzx+1apVsixLd9xxR4vXal7yKChR9MYbb+ikk05SWVmZxo0bpzPPPFPbt2/PeWxtba3OOeccjRo1SsOHD9fhhx+ud955pwd7p0mwHv/+9791wgknaOTIkZlR0AsXLtTChQtbPOaMM87QlN0mqzhia/Xq1RozZowk6arvX6GQY8uyLJ1xxhk5j9m4cWOH2wkA6H3kMrlMLgNAYSGbB382n3Xm5zVz6m6yLEurVq3S2LFjJUlXXnFFpiQy2QwAAICe4krZIa6u0dNzq+JKpKRkSpo7IaxX1yW1odbVxlpX8ydFVRLLf9+967p68skntc8++6iysrJLj00kEjrmmGN07rnn6tvf/rZSqZQaGxv1sY99TO+9954uv/xyzZkzR//85z919dVX69VXX9VDDz3U7XU9/vjj9dnPflZnnXWWXn/9dV188cWSpNtuu02SZIzRJz/5ST377LP63ve+p3333Vf/+te/dMQRR3T7NVvzqU99SieeeKK++MUvaufOnZ1+XGVlpf72t7/p8MMP11lnnaWzzz5bkjInhAMdbScKS12jp5U1Kc2qDMu2LHnGaEV1UpPLQ33yNwygd5DLXUcuk8uFiFwGBg+yuevIZrK5EJHNAACgENApO8StrEkpkfL/v6HW1RPvuJnfEyn//jnjWx+B25s+/PBDNTQ0aOLEiS3uc11XJj0iWZIcx5FlNZUPSiaT+t73vqfPf/7zmdtuvvlmLV++XH/84x/16U9/WpJ02GGHafjw4frWt76lxx57TIcddli31vWss87SN7/5TUnSoYceqnfffVe33Xabbr31VlmWpb///e968skndeONN+orX/lK5rUjkYguueSSbr1ma04//XRdfvnlXX5cNBrVvHnzJPnz7MyfP7/V5TraThSOQjlRBKDnyOWuI5fJ5UJDLgODC9ncdWQz2VxoyGYAAFAo+MYxxM2qDKui1Mn8HjQuJami1NGsynA/rFWuefPmKRwOZ36uv/76Fsscf/zxOb8/8cQTGjZsmE444YSc24NyQ48//ni31+eYY47J+X3OnDlqbGzUpk2bJElPPvmkJOlzn/tcznInn3xyt1+zNc23ubd1tJ0oHC1PFDVqQ60rqelEEYCBgVzuOnKZXC405DIwuJDNXUc2k82FhmwGAACFgk7ZIc62LM2dEFak2TXTkZA/ctDuo9Gdo0ePVlFRkVavXt3ivrvuuksvvvii7r///lYfW1xcrNLS0pzbtmzZooqKihajU8eOHatQKKQtW7Z0e11HjRqV83s0GpUkNTQ0ZF47FAq1WK6ioqLbr9marpas6qqOthOFYyCcKALQOeRy15HL5HKhIZeBwYVs7jqymWwuNGQzAAAoFHTKDnGeMXp1XTLnC6nkf0F9dV1SXlYJpHxyHEeLFi3SSy+9pOrq6pz7Zs6cqX322UezZ89u9bGtlQUaNWqUNm7cmFPCSZI2bdqkVCql0aNHS5JisZgkKR6P5yzX0wZoKpVq8RwbNmzo9nO2prXtjsViLbZF8ktdoXfUNXpavj6R+dvwjNHy9QnVNXr9tk6FcqIIQM+Ry+QyuoZcBpBvZDPZjM4rxFyWyGYAAFA46JQd4lZUJzMlWyTlfEHdUOtqRXWyz9bl4osvluu6+uIXv6hksmevu3jxYu3YsUN//etfc27/zW9+k7lfksaNG6dYLKbly5fnLHffffd1+7U/9rGPSZLuvPPOnNvvuuuubj9nZ02aNEnvvPNOTiNzy5YtevbZZ3OWYwRv9wTz0KytcfXK2qRcz+iVtUmtrXH13Kp4vzU0C+VEEYCeI5fJZXQeuQygL5DNZDM6p1BzWSKbAQBA4Qh1vAgGs8nlIW2sdZVI+SVb5k4I69V1fqMzEvLv7ysHHnigfvazn+n888/XRz7yEX3hC1/QnnvuKdu2VV1drXvuuUeSWpRdas1pp52mn/3sZzr99NO1atUqzZ49W88884yuuuoqHXnkkTr00EMl+SNnTznlFN12222aMmWK9tprL73wwgs9agwuWbJEBx98sC666CLt3LlT++yzj/71r3/pt7/9bbefs7NOPfVU3XzzzTrllFN0zjnnaMuWLbruuuta7LOSkhJNnDhR9913nxYvXqzy8nKNHj1akyZNyvs6DmQt56FxM78H89DMGR/p8/Vq7URR9nquqFa/rBeAriOXyWVyufPIZQB9gWwmm8nmzinUXJbIZgAAUDjolB3iSmK25k+KamVNSrMq/ZIte1eFtaLab1yWxPr2YuovfvGLWrBggW688Ub96Ec/0vr162VZliZMmKADDjhAjz/+uBYtWtTh88RiMT355JO65JJL9IMf/ECbN2/WLrvsom984xu69NJLc5a9/vrrJUnXXXedduzYoUWLFunBBx/sdmPLtm3df//9+vrXv67rrrtOiURCBx54oB5++GFNnz69W8/ZWQceeKB+/etf65prrtGxxx6r3XbbTZdeeqkefvhhPfXUUznL3nrrrfrmN7+pY445RvF4XKeffrruuOOOvK5fX6pr9HI+154xWlGd7NHnelZlWMmUMo25QpmHppBOFAHoGXKZXCaXO49cBtAXyGayeTBm81DKZYlsBgAAhcMyzScQQb+qra1VWVmZtm/f3uro1sbGRq1cuVKTJ0/OzO0CDBR99fkNyia11eCaPynaoqHZ2Uap6xk98U5jTgMzEpIWTY3Jsa0uP19vbnNfvl5f6Oh4CPQFchkDXSF8RsllchnoLeQyBqu+/OwOxVzur9fMJ3IZhYDPIQD4unI8HHjfOgCgAy3LJjXmjNZdWZM7kUxn577p7Dw0/TGXTknM1pzxEdmW39C1LUtzxkcGZOMSADC4kMvkMgCgcAzFXJbIZgAAUBj45gFg0JlVGVZFqZP5vaOySZ1tlLY2D03An4cm2aXnAwBgKCCXAQAoHOQyAABA/6FTFsCgY1uW5k4I5zQCJb9ROHdCODMyNtDZRunk8lDmOStKHS2aGss8Lnsemq42cgEAGMzIZQAACge5DAAA0H/olAUw6LRWNsk1RtsajF5Zl5BnjDxjtHx9QnWNXqcbpSUxW/MnRVVV7mjvqrAc29LeVWFVlTs58+50tZELAMBgRi4DAFA42ioz3JA0euytRqW8pnLEy9cntDNuyGUAAIBeMiA7ZW+66SZNnjxZsVhM8+bN0z//+c92l//HP/6hefPmKRaLabfddtMvfvGLFsvcc889mjlzpqLRqGbOnKm//OUvOfdPmjRJlmW1+Pl//+//ZZY544wzWtw/f/783tloAJ3WvGySY0s740YJ1+j9D129/kEyZ86a2gY3p1HqGqP6pFE8PfdNyvMyJ4o7Mw9NZ+bSqWv0nzOYVyf7ZDQAAIMJuQwAQOForcywa4x2xo221Hta+lY8Z57XZSsb9cLqBLkMAADQCwZcp+zdd9+tr33ta7rkkkv0yiuv6KCDDtIRRxyhNWvWtLr8ypUrdeSRR+qggw7SK6+8ou985zv6yle+onvuuSezzLJly/TZz35Wp556ql577TWdeuqp+sxnPqPnn38+s8yLL76o6urqzM9jjz0mSfr0pz+d83qHH354znIPP/xwHvYCgPY0L5tUUWbLSR/tXM9ofW0qZ86a51YnMr+7xqg+4Z8ork8YVde6WvpWPHOiuK1GYHajcUV1UtXbU6pPGrmeaTGXzstrE3pulf+cr6xN5jR423sNAAAGInIZAIDC0VqZ4YhjyZN/kjCRMjnzvG5vlNZtI5cBAAB6w4DrlP3hD3+os846S2effbZmzJihG264QVVVVfr5z3/e6vK/+MUvtOuuu+qGG27QjBkzdPbZZ+vMM8/U//3f/2WWueGGG3TYYYfp4osv1vTp03XxxRdr8eLFuuGGGzLLjBkzRhUVFZmfBx98UFOmTNEhhxyS83rRaDRnufLy8rzsBwBta142ac74iHYbFVLEsTQsYsnzmsohVZQ62n9iJNMQjDiWhkcshW0p6RntiHtKpPzRuYmUtLIm1eL16hq9nEbjriMcxV2/oZr0pH0nRnLm0rFM07w5G2rdnAZvW68BAMBARS4DAFA4WiszfOj0qEYV2xoWseTYVs5VrBPKHJUV+VlNLgMAAPTMgOqUTSQSevnll7VkyZKc25csWaJnn3221ccsW7asxfIf//jH9dJLLymZTLa7TFvPmUgk9Lvf/U5nnnmmrGZzXTz11FMaO3aspk6dqnPOOUebNm1qd5vi8bhqa2tzfoYq1zOqT3gy6fI0xvi/u57p5zXDQJRdNsm2LO1dFdGIIr+BGQjmrCkrcjKN0kOnR1VZFlJx2FLEsVQcbnpMRamjWZXhnNepa/S0bFVc8XS7sLrW1ZP/jcux/MdHQ5bWbHVz5tL5yK5NjU5JOQ3e1l4DQN8hl3ORzegt5DKA7iCXc5HL6C3NywyHbFuHTY+pKJJ7jisSkvabFNECchmAyGUA6A0DqlP2ww8/lOu6GjduXM7t48aN04YNG1p9zIYNG1pdPpVK6cMPP2x3mbae869//au2bdumM844I+f2I444QnfeeaeeeOIJXX/99XrxxRe1aNEixePxNrfp6quvVllZWeanqqqqzWUHM9cz6bnFpPqESTcu/d93xg2NzAGgkE8QNJ+zprU5cFbWpDS5PKSQbWvuhLCi4dwGZnCi2M4aiBGM+E0kjSxLMvI/v/VJo4akUTQkVaYbjdlz6diWpbkTwjllmtp6DQB9i1xuQjYPbM1zuZDmYiOXAXQWudyEXB7YCrm9LHWczUUR//aGhMhlYAgjlwGg5wZUp2yg+dWpxpgWt3W0fPPbu/Kct956q4444giNHz8+5/bPfvazOuqoozRr1ix94hOf0COPPKJ33nlHDz30UJvrdvHFF2v79u2Zn7Vr17a57GAWTxkFpwiTnlTX6JexkSQvfT8KV6GfIFhRnez03HS1DW5OYzSQSDdGPdO0LStrUkqk/OOHSZduSqa31ZPkeq03Gps3eNt7DSl3/p3g8YVyYh0YbAoql1Mpqa7O/7cfkM0DV3YuNySNjJHerC6cudjIZQCdVVC53M/I5YGr0NvLUuezednKRr2wOlFQuSyRzUBfIZcBoOcGVKfs6NGj5ThOiytYN23a1OJK10BFRUWry4dCIY0aNardZVp7ztWrV2vp0qU6++yzO1zfyspKTZw4Uf/973/bXCYajaq0tDTnp1+sWSM99pj0wAP+v2vWdOtpujv6syjsz0kiSSteX64vfeFM7TVjiipGFmvCmFJ9dP4+uu6661RTU9Ot9eqMM844Q8OHD+9wuYULF2rhwoW99rqXXXaZLMvK/BQXF2vChAn6+Mc/rp/85Ceqq6vrtdfqDa3tp0I/QTC5PNTpuemeW53IaYwmXKNg7atrXS19uzHTsJtVGVZFqeN/zpNGbtZmhm1LYcfKNBqzG4krqpOqrnXTjzE5I4A31LpaUZ3M/N58/h3XM3plbeGcWAcGm37P5URCeukl6eqrpX33lebO9f+9+mr/9kSiy0/Z3Wy++85fa2Sxk/kpL4lo+uRddOZpJ2n1+/9VUTg/VynccccdsixLL730Ul6eX1JO7lqWpdLSUh1wwAH6/e9/n7fX7MikSZNaVGHpruxcTnlSY8po8w7/lkKYi41cBtBZ/Z7LgURCevll6be/lX75S//fl1/u01wuClu6+3d3ZHK5rNjR6JKI9tx9V51/7pmq2bS+W5vWX5599llddtll2rZtW6eWb95utm1blZWVOvLII/Wvf/2r2+tx11136YYbbmhxe319vS677DI99dRT3X7uQKG3l6XOZ/P2RmndtsLJZYlsBvpSweQyAAxgoY4XKRyRSETz5s3TY489puOOOy5z+2OPPaZjjz221ccsWLBADzzwQM5tjz76qPbZZx+Fw+HMMo899pguuOCCnGUOOOCAFs93++23a+zYsTrqqKM6XN8tW7Zo7dq1qqys7NT29Ys33vA7Yn/wAym7w7O8XLroIunoo6U99+zUUwWjPz35DcviiD8KNOlJKddoWFQ584ZlsyxLxRHpJzfdogu/9mXtPnWazv/aNzRjxgyFrZRefvll/eIXv9CyZcv0l7/8pRc2vPtuuummvDzv3/72N5WVlSmRSGj9+vV6/PHHddFFF+kHP/iBHnjgAe211155ed22uJ5RPGVUFPYbvcaYzNU2zRWF/fuzG5aBsK28nbjvrJKYrfmTolpZk9LMipBeW5dS9faUGlJS1FHOHDi7j3H0wuqEGpJGSdco6lh+qSUjNSQ91SekZSsbtWByTMOilkK21Og2bbskOZZUHLFkyW80/nuN0dYGT4mUlExJU8Y4+u+mlBKukW1JB0+J6r0PXW2odRUJ+Q3iQDC6WOnneuIdN/N7cGJ9zvhIH+1JAHn1/vvS5Zf7J3qbH2xffVW65BLplFOkSy+Vpkzp1FP2NJsl6aabb9Xu06Yr3tio55Y9qx9ed5X+9fRTeuuttzRy5MgebHD/OuGEE3ThhRfKGKOVK1fqqquu0sknnyxjjE4++eT+Xr1WtZXN0VDu3KzNc1lGUvruQpiLjVwGMGAYIz39tHTTTdKf/pSbz5YlffrT0nnnSQcf7P/egZ7mciTk3/ezm2/VHtOmq7GhQcue+ad++H/X6F/PPK3XX39dw4YN640tz7tnn31Wl19+uc444wyNGDGi048L2s2e52nNmjW67rrrtHDhQj3//PP6yEc+0uX1uOuuu7RixQp97Wtfy7m9vr5el19+uSS1OSi7u7ncWnu5nVmv+kRns3lCmaO6hKfGAslliWwGAAADy4DqlJWkr3/96zr11FO1zz77aMGCBbrlllu0Zs0affGLX5Tkl1H44IMP9Jvf/EaS9MUvflE//elP9fWvf13nnHOOli1bpltvvTXnSoivfvWrOvjgg3Xttdfq2GOP1X333aelS5fqmWeeyXltz/N0++236/TTT1colLvrduzYocsuu0zHH3+8KisrtWrVKn3nO9/R6NGjczqQC8oLL0jHHCNt3Njyvpoa6dvfln70I+n++6X99uvw6Vob/Rn8Hoz+LI603sA0xujJp5/V17/6/7Rw0aG6849/UTQaleQ3Ug477DBdeOGF+tvf/tb17exlM2fOzMvzzps3T6NHj878fuKJJ+rLX/6yDjnkEB1zzDF65513MvskH7IblJ6RdsQ9uUbyjDQs+2RBKyO4g0717Pdc8i/FL45Y7ZYX7wt1jf7cdJm5anYJafXWVE7jMpifxrEtzZ8U1bJVcdlqKrXU6BolXf+89rYGo/e2JJVypfc/dJVylZkjJ2xLxeGmhmk0JBlLOY3EmnpXYVvyHEtRR1qzzdXeVWGtqPYbmCWxpiIGsyrDSqaUuUoou4RTIZxYB9BL3ntPOvFE/2rYthjjd9i++ab0hz90qmO2p9ksSdNnztLe8/aRJH304IXyXFdXf/8y/eUvf9GZZ57ZyQ0sPOPGjdP8+fMl+QP0DjzwQE2aNEk333xzQXTKNj/R63pGtY2eLPkfhfZO5GfncrZCmYuNXAYwIBgj3Xuvn8+tTSVgjPTHP/rL3H23dNxxHXbM9jSXg6sVZ2Rl80GHfEye5+raq7+vv/71r/rc5z7XjY0dOLLbzQcccID2228/TZkyRX/+85+71SnbFZ1uM7eTy/FkUpZlKRQKFWR7ec74iDxjFLIlx5GKs9YtEpL2mxRRfcIUTC5LZDMAABhYBlT5Ysmft/WGG27QFVdcoblz5+rpp5/Www8/rIkTJ0qSqqurtSar9O7kyZP18MMP66mnntLcuXN15ZVX6sc//rGOP/74zDIHHHCA/vCHP+j222/XnDlzdMcdd+juu+/W/vvvn/PaS5cu1Zo1a1o9Aek4jl5//XUde+yxmjp1qk4//XRNnTpVy5YtU0lJSZ72Rg+88UbbHbLZNm70l3vjjQ6fMrsEsdS1qyUbkkbXXXu1LMvSDT+7WUVZnY9Jz78/EonomGOOaXp+z9N1112n6dOnKxqNauzYsTrttNO0bt26Fs9/2223aa+99lIsFlN5ebmOO+44vfnmmx1u07/+9S+NHj1aRx99tHbu3Cmp9fLFiURC3//+9zPrMmbMGH3+85/X5s2bO3yN9uy111665JJLtGbNGv3mzt/nlLj6+S2/6nCb2iq1fMYZZ2jSpEmZ313P6J331uqkz35apaWlGlU+UmefcapefulFlcQc/fyXt2dGtgand999910deeSRGj58uKqqqvTVCy5UQzC81xh5xj/B0DRnTsclufKheSmjpOvp0bfiakga7Uw0zd+TPT9NSczWodNiqizzB1/4o54tNa29pc11nlZucZX0jIwlOenPeHEwStrzyyzNnxTVvKqIKkqdzKMTKb+BXhy2VFkWajopPT7SooFpW5bmTgjnlGySCufEOoBekEj4V8h2tlzvSy9JV1zRqZKJPcnmhJt7zA6eZu5H5kmS1lXnfoe4//77tWDBAhUXF6ukpESHHXaYli1b1uJ533rrLZ100kkaN26cotGodt11V5122mmKt3OJSHV1tebNm6c99thDr7/+ukaMGKFzzz23xXKrVq2S4zj6wQ9+0OZztWXixIkaM2aMNjb7brRmzRqdcsopGjt2rKLRqGbMmKEf/N//aUdjKieX/+d7l2m//fdXeXm5SktL9ZGPfES33nprZplAMpnURRddpIqKChUXF+ujH/2oXnjhhZxlWpt7bkfcyDOSa6Ska9otfRjMVdd0oaxRY8oons66lOf12zxr5DKAAePpp9vukM2WSkmf/ay/fAd62mbOjubso9NH9vXPXaxevVqSnwM33XST5s6dq6KiIo0cOVInnHCC3n///ZznDKqOTZgwQbFYTLvvvrvOPfdcffjhhznLBaWD33jjDZ100kkqKyvTuHHjdOaZZ2r79u2Z5VatWiXLsnTHHXe0WH/LsnTZZZdlnu+b3/ymJP+cTVCSuDulgsvKytI7JJTJ3Ntvv12WZem991fmLPvUU0/lvM7ChQv10EMPafXq1TmlkVetWqUxY8ZIki6//PLM7aedfkYmm9948x2ddfopmjaxUqNKizR9xsxMVa0gl4PX+81vfqOvXnChpk+p0rgRRXr/3f+2aC83JLxW50rNt9ZK//57bUJvb0ppW33ufLdBNg+LWgWTyxLZDAAABpYB1ykrSeedd55WrVqleDyul19+WQcffHDmvjvuuKPFF/lDDjlE//73vxWPx7Vy5crMVbXZTjjhBL311ltKJBJ688039alPfarFMkuWLJExRlOnTm1xX1FRkf7+979r06ZNSiQSWr16te644w5VVVX1fIPz4YEHOu6QDWzcKD34YIeL+aM/rRYfqs6M/gxZnv75jyc1d+95mrxrlUpiTY1VW1I01PKxX/rSl/Stb31Lhx12mO6//35deeWV+tvf/qYDDjggpxF59dVX66yzztKee+6pe++9VzfeeKOWL1+uBQsWtDvf7x//+EctXrxYn/nMZ3Tfffe1WQbK8zwde+yxuuaaa3TyySfroYce0jXXXKPHHntMCxcuVENDQ5uv0RlHHf0JSdI/n/5npsF2xfev1nnnnqOp02fqT3++p9Pb1Jaa7Tt09BGL9c+nn9KlV16j23/7B40ZO1bnnO5fKeQ1a/wnk0kdc8wxWrx4se677z6devrn9dMf36Abr78u3SHrj3r1PP+EcW2jf2K5IWH6vKHZvJTRgysata3BP/3hScqevid7fprmDbuikH+iJPg8J1L+qF5b/u1TRoV07OyiTMM0Gra0YFJUJTG7R41Ezxi9ui6ZM9pXyj1ZDWCAW75c+t3vuvaY3/7Wf1wHepLN4ayye2FbmWxevWqVJGnmtKbvQ3fddZeOPfZYlZaW6ve//71uvfVWbd26VQsXLsypPPLaa69p33331XPPPacrrrhCjzzyiK6++mrF43El2uhkXrFihfbff39Fo1EtW7ZMs2fP1plnnqk777wz50Sw5E8xEIlEunUF7/bt21VTU5PzPW/z5s064IAD9Oijj+rKK6/U/fffr8WLF+uib35TX/3K+VkDj4xWrlyl0z9/jn7/h7t177336lOf+pTOP/98XXnllTmvc8455+j//u//dNppp+m+++7T8ccfr0996lPaunVrZpnWrqTKqkAsT+2fyG9IZpcu9h+b9Pz1rK51tfSteL/Ns0YuAxgQEgm/ZHFHHbKBVEr6+c+lZLLdxXqSy9GQlcmBUFYuS9Kq99+TpExH4rnnnquvfe1rOvTQQ/XXv/5VN910k9544w0dcMABOYOP3nvvPS1YsEA///nP9eijj+p73/uenn/+eX30ox9VspVtOf744zV16lTdc889+va3v6277rorZxqozjr77LN1/vnnS5LuvfdeLVu2TMuWLevUla6u6yqVSimRSOjdd9/Veef9P0WjUR117PGZXA6uKK5PmHYHBt9000068MADVVFRkVmHZcuWqbKyMlOl66yzztKyZcv05NP/0je+/T+SpNff+I8OPnB/vfmfN3TF1T/QXX++T4d9/Ah9+xtf1bX/e0WLXL74O9/RmjVrdP2Pb9Lv//xXjRo9tkV7OelJ8ZS0M96/ufzEO42ZzlRPUtxVq3O6FkouS2QzAAAYWAZc+WL0gtWr/Tlku+K666STTpJ23bXNRZpflREIRn8WR9RmI3NrzRbV19dr0uRJmcZocUStzsci+VfZ3HLLLTrvvPP0k5/8JHP73nvvrf33318/+tGP9L//+7/atm2brrzySh155JG66667MsstXLhQe+yxhy677DLdeeedLdbn2muv1SWXXKKrrrpKF110Ubu75o9//KP+9re/6Z577snpzN9rr72077776o477tCXvvSldp+jPRW7+Pu8unq9kp60dsNWXXv193XYx4/QL++4UxFHKo7YHW5Tu9tw12/0/nvv6k9/fUiHLjlckvSxQ5eovr5Bv77tlsxJA1tSyLGUSCR0+eWX69Of/rQkaeHHFunll17Sn//4e33rO9+VrXTHrPyGpm1Jsiz/ZGsfX5TTvJSRk24oepJGFNlaMj2q5R+kWsxP07xhZ1mWisNSXdykP8+WHMvSyGJLFWW25oyPyLasVssqddRI3Luq7YbmiupkZt0lv2Ga3WheUS3mxwEGusceazmHbEeMkR5/XNpnnw4W63422+nsteUqYrvauTOuZ555Rtdf97866OCD9clPHus/l+fpm9/8pmbPnq1HHnlEtu0f+4488khNmTJF3/rWt/Svf/1Lkj8NRSgU0gsvvJA5cSypzVKLS5cu1fHHH68lS5bot7/9rWKxmCTpy1/+sm688UbdfvvtmTngGhsbddttt+mkk07SqFGj2t0vwb5JpfyrXVetWqVvfOMbKi4u1qWXXppZ5oc//KE++OADPf/889ovPZXDQR87TA0JV7f/6mZ96ctf1dQ9psqT9LNbbpMkRRwpFvK/axhjdOONN+q73/2uLMvSW2+9pV//+te64IILdN1110nyp2gYN25czj5oa+452/Zvz37HWjuRHw1ZSrn++25Z/sn/kCXVe/4Vt8Vh/7tVf8yzRi4DGBBef92fQ7Yr/vhH6ZvflObNa3ORnuSyY1uZwcph25PruvISDXri8af0f9f+r0pKSnTMMcfoueee0y9/+Utdf/31+vrXv555/EEHHaSpU6fqhz/8oa699lpJyhmwbozRAQccoIULF2rixIl65JFHcipVSX4HZXCF66GHHqp3331Xt912m2699dYuleCdMGGCdk2fW9h7771zqjh1pKKiIuf30tJS/eqOO7XnrNmZgUzBFcVG7ZeEnjlzpkaMGKFoNJqZ0iAwL/0+TpgwQfPnz8+8d0lP+p9vXahhw0v0yONPa9jwElmSFi8+TIlEQjdcf62++fWvaFi0PPNcU6ZM0W/u/KOfy/L3dYv2cnqF121PaVRZp3dHj7VW+jcaklKun9GTyx3tXRXRq+uSOdlcKLkskc0AAGBgGZBXyqKH3nnHnzO2K2pqpLffbneRnKsylPvhCkoQdyRkN51U9Dtm7RYdspL05JNPSvLL8Gbbb7/9NGPGDD3++OOSpGXLlqmhoaHFclVVVVq0aFFmuYAxRueee64uvfRS3XXXXR12yErSgw8+qBEjRugTn/iEUqlU5mfu3LmqqKjoVgmmbLFmQyeef97fppNOOT0zAtcYo1HjdtHHPtZymzrj6aefVklJiZakO2Qlv3H4qU9/1v8l/RZ48ufHsSxLn/jEJzLLOraluXPnaO2a1SqNWQo7lmzLnzcm6JCV/BHdYadvSwc1H3XrWJaGRf1SSEumRxV2bO1dFVZVuaP56ZG6UsuGXdgxqk/6J1CSnsl8nl1Pcl0r5/Wal1VqrZEYyL4KqK7RLycZjOT1jD9nUbp/QxWljhZNjWVKO2WfrAYwQKVS/knc7vjDHzq8gqc3snnhQQcoEomopKRERxxxhMpHjtT9992nUMg//rz99ttav369Tj311EyHrCQNHz5cxx9/vJ577jnV19ervr5e//jHP/SZz3wmp0O2Lb/+9a915JFH6uyzz9Yf//jHTIesJO222246+uijddNNN2VKFd51113asmWLvvzlL3f43JJ/dUw4HFYkEtHUqVP1yCOP6Pe//33mJKwkPfHEE5o5c2amQ1byc/e0006XMUZPP/WEf2LdGD315OM67qglqhwzUo7jKBwO63vf+562bNmiTZs2SWr6/tK8E/ozn/lMZn9KbV9JlemQzToxmV36MODYftZFHGl41O+AjYUtRRwr0yEr9c88awMpl6WW2TxxpKO4a+QaQy4Dg9l//tO9AVMdTJHT01wOBkwtWLBA4XBYpaWlOv64Y1RRUaFHHnlE48aN04MPPijLsnTKKafktE8rKiq011575bRPN23apC9+8YuqqqpSKBRSOBzOTA3V2nQ/zTtp58yZo8bGxkzO9YWlS5fqxRdf1AsvvKAHH3xQhx56qM46/WQ9eN9fJKlFh3dwxaoxRo3J5vd2XpDNicZG/eOpJ3T0MZ9ULFakVColz00p5bo67ONHqLGxUf94ZllOLp9w/PGZXG6vvezY0h5j+jeXJaU7U21NHRfSR3aNyLGtFtlcKLlMmxkAAAw0dMoORY2NeXlcNNR08jC7zKHUdgniwOjRo1VcXKyVK1e2uUy2LVu2SJIqKytb3Dd+/PjM/Z1dzvWMUp5RIpHQ3XffrT333FOHLP54p+ZA3bhxo7Zt26ZIJKJwOJzzs2HDhhbz8XRVMEdyZeV4SVJNep3HjmsaIVyf8MsDjxlXmdmmrtiyZYvGjh2XacB66VKHY8eOa7GsJ6m4uDjn5LgkFcViamxsbDqRbPk/QQPTlt8g7uvZXFobdetY/onp5R+k5BnTasNwcnko0xisKHU0riSkoHfallQSbdqS5g3F5po/V2uNxNbm8nllbVKbaj1JRuNK/JPUrTWIAQxgDQ1SbW33HltX5z++HT3J5sBvfvMbvfjii3riiSd07rnn6s0339RJJ52Uub+jrPU8T1u3btXWrVvluq4mTJjQqc37wx/+oKKiIp199tmS1GJu8q9+9av673//q8cee0yS9LOf/UwLFizoVOlDye8IffHFF/Xss8/q5ptvVklJiU488cScaQC2bNnSYrssy9JuE3eRJNXU1EjG6MUXX9AJxxwhSbrlllu09Ml/6ol/Pq9vXPQdScpMZRDsq+ZX+YRCoZyre1u7kspLX1XjGUnGdHgi37H9wW2W5Z/8jYRyO2T7a561gZLLUuvz7L272VXI8it/7DHGIZeBwaoA28zZgmx+5ZVXtH79ei1fvlwHHnigJL99aozRuHHjWrRPn3vuuUz71PM8LVmyRPfee68uuugiPf7443rhhRf03HPPSVLONDxBB1h5uX/1p59TnsLhSItl822vvfbSPvvso3333VdHHXWU/vSnP2n33XfXNy84v2mhrEjMnmogqNrUmXZ+c8FzfLhli1KplG75+U81bkRMFSNiGlMW05jSqD5z3NGSpI2bP8zJ5crKypxcbqu97HfW9n8uSx13phZKLtNmBgAAAw3DxYaiZp1pvfU4/6oMvzxQUbjjEsQ5j3UcLV68WI888ojWrVvX4Qnb4MRldXV1i2XXr1+v0aNHt1iuuWA51zPaGfdPdEajUT3xxBP6+OGH66jDl+ie+x7WhIrydtd99OjRGjVqVGbOmeZKSkra3ZaO3HfffZKkAw8+RJI0Mt0Q3rhhg+IpI9drGg1cXb1eo9LbLkmxWCwz357rmcx7EzTE6xOeoiFLI0aWa9MLL2Qe51iWUsZo48YN/u+2f9Ig6anDTtX2SnI1JI263vxtX12jp5U1Kc2q9E8se8ZoRXUyUw6pu6WMSmK25k+KZp57Z9xo4w5X2xukCSMc7TexZQmntjR/rtbKNi1fn2g2l4+b+d3zLEXCTQ30oEEMYBAoKpJKS7v32JIS//Ht6Ek2B2bMmKF90mWSP/axj8l1Xf3qV7/Sn//8Z51wwgkdZq1t2xo5cqQsy5LjOFq3bl27r+elT5TefNtvdfWVl+qQQw7RfQ/+TTNmz1XKNRoW9bdr0aJFmjVrln76059q+PDh+ve//63fdWFu3jFjxmS2a8GCBZoxY4YOOeQQXXDBBXrwwQcl+d8jmm+XMUbvr/4gc78n6d4/361wOKw7/3SfhhcXZTLwoQfuy3lssK82bNigisrxmffFdV1t2bJFKc9k8rq1K6lc+eeZLctSSczKlFFs70S+MUZJ1yhplDMcs7MlAbtqsOSy1No8e342O7YlR9Kqra7mFDnkMjAYFWCbOVt2Njc3evRoWZalf/7zn4pGoy3uD25bsWKFXnvtNd1xxx06/fTTM/e/++67Ocu7nlEyfSzM7uD050DNbd0FA3fj8XjO7d0ZONxZlmVp2oyZ+ss9f9bmTZs0ZuxYRdLr0dDQmClp7EnassVvByfdlq3S7PayZVmZK12DDungKucRI/2KGJ896RR9/gv+NEWW/Bw2xh+0M3nS5Jxczi7t3F57OemaXp//dCjkskSbGQAADBwMFxuKpk6Vyss7Xi5bebk0bVqHi2WP/pTaL0Hc3MUXXyxjjM455xwlEokW9yeTST3wwAOSpEWLFklSi5OvL774ot58800tXrxYkn+StaioqMVy69at0xNPPKHFixcrnsptEO0+Y64e/PuTWv/BOh11+CKtXb+x3fU++uijtWXLFrmuq3322afFz7RO7Le2vPbaa7r66qu168RJOu74z0iS9p/vb9Of7r5TRlIq3Wj7YN06/fMfT+rQ9LZL0qRJk/TOO++ovqFRO+P+1bRrqz/Us88+K2OkhCvtjBsdcvAhqqur02N/f0Rh2y+pFA1Z+us9fknNsO2P5o04fonp9rRXkivltd4A7q62RsqurXH13Kq46hq9To+6bU1JrGnum5KYrQWTopo2LqQ9K0J6Y0NSe00Iqarcb3CurEmprrHtcljZzyW1HGk8qzKcWS9JOSOV+6O8JIA+EgpJn/lM9x574on+4zvQk2xuzXXXXaeRI0fqe9/7njzP07Rp07TLLrvorrvuyinVt3PnTt1zzz1asGCBiouLVVRUpEMOOUR/+tOf2q0ikUx3yo4cWa57H3xUU6fN0BEfX6wXX3hOnnJPAH/lK1/RQw89pIsvvljjxo3LzHXeHQcddJBOO+00PfTQQ1q2bJkkafHixfrPf/6jf//735nlGpJGv/vdb2VZlg465GNyLP+Y7oRCsh0nk8sNDQ364+9zv38sXLhQkvTb3/0uk8v1CaO7777bL39o/FwO261cSeVY6deShkWtzJU2Ecf/va33szHpD+AKtFcSsKcGUy5LZDMwpM2cmVMqvlMsS5oxo8PFejuXmzv66KNljNEHH3zQavt09uzZmdeV1KLj9uabb875PZ5qGlibSndwBu295i27cePGKRaLafny5Tm3BwONswWv29OrbHc0pvTGihWKRqMqKS2VLWVKML+x4nW/0kR62Uce8s8nZHeYRqNRNTQ05OSyMUau5Xfo1e5okOuZzFXOxcXFOviQhXrj9Vf1kbl76SPz9tE+++yrBfvvq48u2Ff777ePqsaPbvP9bK+97HrSfzeTyxK5DAAABi+ulB2KJk6UvvlN6eKLO/+Yiy6Sdt01f+skvwP15z//uc477zzNmzdPX/rSl7TnnnsqmUzqlVde0S233KJZs2bpE5/4hKZNm6YvfOEL+slPfiLbtnXEEUdo1apV+u53v6uqqipdcMEFkqQRI0bou9/9rr7zne/otNNO00knnaQtW7bo8ssvVywW06WXXpqZkzXgSZo2fYYeXvoPHXfUEn188UItXfqYqqqqZNKlA7Pb5yeeeKLuvPNOHXnkkfrqV7+q/fbbT+FwWOvWrdOTTz6pY489Vscdd1yH2//yyy+rrKxMyWRS69ev1+OPP67f/va3Gjt2rO7+831+eWRb2rWiXN+6+H902fcu0XnnnKETPv1Z1Wyt0XVXXZnZpsCpp56qm2++WaeccopOOeNs1dRs0Y9/+H8qKSnNNKA9SSeecpp+/OMb9MWzTtOVV16pPfbYQw8//LCeXPqoJCkUcjInfzs6NxENWUq5fsM3bEvFkdwreUK9OBSkvZGyiZR//5zxkU6Nuu2MkpityeUhPbcqrkRKSqb80o/BCOCNtW6nyyM1H7Es+fvGto08r2kn91d5SQB96LDDpEsu6drcdZYlZQ3C6UsjR47UxRdfrIsuukh33XWXTjnlFF133XX63Oc+p6OPPlrnnnuu4vG4fvCDH2jbtm265pprMo/94Q9/qI9+9KPaf//99e1vf1u77767Nm7cqPvvvz9TQjiSNfd4SUmJ/nTfwzr1xOP1qaM/rrv//Fct/NjH/LlVLUuf+9zndPHFF+vpp5/W//zP/ygS6dkVEVdeeaXuvvtuffe739XSpUt1wQUX6De/+Y2OOuooXXHFFZo4caIefPBB3XrLz3XmOV/UjGlTVRyxdOSRR+mmn9ygcz9/is4482zVbK3RT2/4oWKx3BPdM2bM0CmnnKIf33ijjB3Wwo8t1pv/eUM/veF6laSvmA7mYhsWtVq5kko5V1IF2dyeSMjKlLmoKHVycqu351kbTLkcXEk0ZYyjmno358Qv2QwMAbNnS5/+dNfmff/MZ6Q5c/K3Tp104IEH6gtf+II+//nP66WXXtLBBx+sYcOGqbq6Ws8884xmz56tL33pS5o+fbqmTJmib3/72zLGqLy8XA888EBmWoBAUdif/zSQ3a0W3J7dnj7x5M/ptttu05QpU7TXXnvphRde0F133dViPYPO4RtvvFGnn366wuGwpk2b1mGlqaDdLPmlmm+99Ta98/ZbOu/8r6mkOKbiiKX999tPe0ydpksvuUiem9KIkSP14P1/1XPP/ktS7pWrs2fP1r333qtf3vJzzd17nmzb1rx5+yg2rERVu07Uww/er0WLFmn8uNEaWT5KlRMm6ic/vlEHHXSQjjj0EJ15zrnafbfJqt+5Q++++64eeOABPfHEE22uf1vt5YQkWdKEMnJZIpcBAMDgxZWyQ9UnPiGNazlfaKvGjZOOPrrDxVzPn1cmaJAF88x0Zb6Wc845Ry+99JLmzZuna6+9VkuWLNEnP/lJ/f73v9fJJ5+sW265JbPsz3/+c11zzTV6+OGHdfTRR+uSSy7RkiVL9Oyzz+bMy3bxxRfrV7/6lV577TV98pOf1Je//GXtueeeevbZZ7XHHns0dTY2W5fJk3fTw489JWNZOuigg/Xee+/5ZYaMX1ow2C7HcXT//ffrO9/5ju69914dd9xx+uQnP6lrrrlGsVgs09jsyOGHH64FCxbosMMO0wUXXKDVq1fr2muv1YoVK7TvR2Yr4ihz4vUbF31bN950i954fblOOfF4XfT1r2j6jJla+tQz2n333TPPeeCBB+rXv/613nrzP/rcZ47T9ddepQu++a1MKWTJbwiWlw3XQ39bqoULF+pb3/qWjj/+eK1avUY//dnPJPmd253ll+SyMuubfSVPUaR358jp7EjZzoy6zVbX6Gn5+kSmdJRnjJavT2QahrkN28ZMuaegYduW4HlrG/yRyWu2pPTom43a1uDq32sTentTStvqTc7fTFBesrfLWAEoIHPmSKec0rXHnHpqhyd+eyOX23L++edr11131RVXXCHXdXXyySfrr3/9q7Zs2aLPfvaz+vznP6/S0lI9+eST+uhHP5p5XHBydt68ebr44ot1+OGH61vf+pai0WimQzVz5VD6MUVFRbrrT3/VokOX6PhPHq0HHnwocxWLcWJacsTRCoVCOucL5/Z4u6qqqnT++efr8ccf19NPP60xY8bo2Wef1aJFi3TxxRfr6KOP1qOPPqprrr1WN9z440wuL/zYIv3457/Sm/9ZoZM+/Ul9/7Lv6pjjjtcFF17U4jVuvfVWXXDBBfr9736tkz/9Sf31nj/p17//k0aMGCnJz+VoyGpRQrGrpS0Djm0pGpIqR+R/nrXBlMuvrE1qTY2rx9+OqyGR+zdDNgNDQCQinXdepypSSPKX+9KXpHDbV+rlM5ebu/nmm/XTn/5UTz/9tE488UQdddRR+t73vqedO3dqv/32kySFw2E98MADmjp1qs4991yddNJJ2rRpk5YuXZrzXP7c5C1fw1J6nnNJdXG/nVyfMLr8f3+gT5/4OV133XU69thjtWzZssy0ANkWLlyoiy++WA888IA++tGPat9999XLL7/c4bYF7eYFCxbozDPP1KZNG/WrX92qa6/7Qab9WVIU0h/+fJ+mTp2mr3/1PH3pnDMUjUZ13Q9/LCm3E/mrX/2qTjjhBH3/sv/RYQsP0KKD9s90PP/k579UcXGxPnP8J7XvvvvqyisuV3HE1syZM/Wv517SnnvuqSsv+56OOPzjOuuss/TnP/85U7WrLW21l/38l4ZFh24uB8/90uq4lq1s1NoaV/9ek9Br6xJ6fmWCXAYAAIOCZQzfWgpJbW2tysrKtH37dpW2MsdcY2OjVq5cqcmTJ2fma+m2F16QjjlG2thOed5x46T775fSDbe2ZOZlVetXR7ZXVq+/Zc+Jk83zmso0WfLnVXW9phJNsZDVaw2m1uavaevka33CU6JpyhfZyh2t7DfuWq6XMSYzl072Y4P3qrX37ofXXa3vX/5drVmzpsN5fjujp5/f1kbLvv5BUutrUy2uLl00Ndatz1xQ4imRav2Kov0mRvTuZjdn3p1ARanT5tx82c/r2FLKNapPl65yLP+it1T6zYk4lkYUWTmN5qpyJ2dOnI7mBhoMOjoeAn2hz3L5vff8csQvvdTxsvvsI/3hD9KUKW0uMlRyuaExobkzp2j+ggN15+/vHvS53J33rle/OzYzmHO5OGwp7koJ1yjiWCoOWznz7Em52UwuA32jT9vLxkj33uvnc6qdjqRQSLr7bum449oseTwoc9kYyTS1j22rqaPWpH8vjfVeWeZ8Z3Nf5XJbeuOzO5BzOfu5tzX4g++Kw5bqs6ZhsG2/zUwu+8hlFAI+hwDg68rxcHB8E0H37Lef9Pjj0jXXtJxjdtQo//bHH++wQ1ZSzrysyWbzzDSf/y3fujoCOWdOF+N/+ZcxkuU3JoOfVFaHrKWuTzHU3vo2n7+mPmEy8702X+9gLhspa5659A22cufHCQTP2XwGF0/SzvTVv7f8/Gf62c9+pvsffkwPP/KIvvudi3TtVVfoxJM/1ysdsj3V2nw4+bi6tKORvau3upo7IZwzJ5/Uccmk7OdNeVLcVeZz5/ofN9ny39PJ5e3P5dOZuYEADDBTpvgdraed1nbAWJZ/fwcdstIgymVJlkzO8dxI2rx5s5555hl942v/T5s3bdRXL7xo0OWy1P/vXXsGey7HXf+KpVhIKgq1P88euQwMUpYlfepT0tKl0mc/2zKfLcu/fenSdjtkpcGZy7aa2sqS3xnrpjtk/fay1Wvble9sJpc7L1+5nP3cRWFLkqW6uL+vPfk/lshlAAAw8DGn7FC3557+z0knSW+/LTU2SrGYNG1al+aQDeZlzW6cBMJ28KU6/7JHIHvGyLaMjPEbT0nXU8i2FAvnjmTNzOli/CtwgrKJdvr34Cd7C6Ihq9e2qbUGevB70MjLni/OL3ekVuaZa7usYfOGdPZI4WCbi4uLdNNPb9Ta1asUj8c1oWpXXXDhRbr80v/Jea6ujFDuTa3Nh7OtwSiZblzGXWlERDnLrKhWztWlnTGrMqxkSjkNy0BFqaOZFSG9sCqhbQ1GRSFl9sG2BumFVQntPzmS09AMRujOrAgpmZKqt6fUkPJHZwfvQ9j2r8gJOZYqyppKR7U1l09n5wYCMMBMmSL98pfS+ef7g6L+8Aeprk4qKfGv0lm82C9Z3Il5Uwsxl40xiob9k6fGGKVcZfIsO0Oy51oL2ZLrWZn5di1LkpEe/fvD+soXz9K4ikpd96Ofar995g26XM6e+z3Q2ntHLucnl4tCUjRs6eApUa3Z5rY7zx65DAxiliUdcoh0wAHSN78pvflmU5t5xgw/l9spWRwYjLkc/N588LIk2bbVq9uV72wmlzuvM7n86rqkGhJGcVeZbI4njR57q1ELJkdUVpRbD7u1bLaCr3/pXRa2pRFFlvabSC4DAICBjU5Z+HbdtUudsM0FJYqMMZlOTc8YWZKiITtzW75lGmvGKJ7+0m3JL53kGsk1fumbYVFlGkRBg21HPPe5sjti8zn2tTsNdMe2chqdwTw0bcluSLdWcqk4aum008/UKaefmXmMLX9EcfZ717wRXxxR5nlSrsnZr72ttcZfNCSlXL/s4ORyR3tXRXJKJ2VfXSp1roSRbVmaOyGc03CTmkb2/ntdQqtqUul9II0oUrqxK62qSSkUkvbdNZp5vaC0UzIlzR4f0qqapBKuMp/PoESiZVlyPcl1m/ZfMJdPZ/ZFIHtuoK5sN4ACEYn45Yn32Ue68EKpoUEqKur8nHZpBZfLkpKuf5KyKV+NdsTT1SiyMiT7RKokpeSf3M2+muOkU07XSaec3mI++N5QKLlcH2+9hGJXczlfhkIuJ1LSex+6OaUWW8tmchkYAsJhad48/6cbBmsuu+loTo+ZyjDGqCjSe9uV72zuy1we7O3lNzYk9cG2lH+FsfxzMVFH/hQBcaPH34nrsGmxzPO1lc2NyXQZbDVlc9K1yGUAADDg8e0CPeZ6Rjvint/AM/6cb57nX6HqGak23nYppN5WFPZH5GY3loyUaSzaltVqiSHHtlSaVdIoeFxrV8kq/fiGZPtlnjoraBw2/2NsrZHXXX5D2krPnWNlXjNs+w20eLKpM9tLl2/21FQaKtCfZbeCxl92GSTHsjSy2NbUcSF9ZNeI6hNGIcdowkhH8ydFNSxqafn6hOoavVZLGD2/MqG3N6a0bGWj6ho9ecbotQ/iemF1IqfhJjWVeFLwfptgDli/tJLS5bqSWfsge4Ruda2rB1Y0qjHlP0VwYsaTFHeb9vOGWlfLVsb16FsNSnn+zk15nh59q0Ebtqfa3BdS6yWhKN0EDGChkH+VbBc7ZAsxlyX/eBe8anbGBvdlZ4h/ItXOebzkd7plX40T/J9cJpfzmcsrqpPasD3VZjaTywDaM9hzOXh8di57xs+k3shlKf/ZPFRy2bEt7THGUTg992tJzJZnjJavT2jD9lSv5PKkkY5S6c+2P+jAn6M96fqfF1t+Hgday+b6ZO5nU/I7dY0x5DIAABjw6JRFj8VTJlOyqNUfI+2I900jM2g8OVbLjlQ7PSK1rZG0LRp6WaucPr2n7LsSrtqcw6Yr2pu/pnkjL1trcwHtjHvaGW99fqCgId00MltyPf/EYzyVblj6//id2OmRyA3Jptdv3gjvStkt1zNqSHhZDXWTOTHbGZ4xenVdskXjL7i6dEe6MbVuq6eU6zemsxtTb29M5pQwevStBq2qSSnhGm1rMHpvS1KvrE3qnU2uVm1JyU3vw+yG3IZaV5GwrV3KnMzne1uDPwLasqSwI+2Ie5ltmlUZzsxx05A0akw3wm35I4YtSWHbUjRkK+QE49M9rdnqavMOT39/M65Eyv938w5PT70b14btqTb3RWtzA3U05092gxjA4FCIuWzLP/ZZze4LdCqbm+Vy9r/kctM6BjrK5bpGT8vXJzKZQS63nsuRkDQ8bOmpd+NtZnP19iS5DKBNgzWXg/jJHsSc/QjX84+zPc1lqXvZPNBy2fWMEq7JWy5LfvY/vzqhZEp6d7Ob0wH57KpEZlt6ksurtrpaMDEs2/Y/G/UJ/4pdK52zrjGaNLKpfHFr2Rx8Nm1JEVvpq1Utf7oBchkAAAxwdMoOUG2dEOwPRWFLUcdq0QkadGTaljQs2jflmILGmpGl5lWBPM9kRtJ6Ri0aaPUJL1NiR+n1DrZDVtPJuqwX859XPRvx2tr8NYHmjbxAUBYp4TY1Qncm/AZMY8r/f7Av2jpBHYzitZV7NbFj++9lcF80ZGUatJIyjfBghHCwzsGI4rYavzvifiMzkTLdGn26ojqZaRxJLRt/z2WN1m2tMRUO+aWKXM+oPmky8xCZ9JU11dtdbah1FXWC/eMvv2hqLNNIjISk3UaFVFrsd/z775H/XJakYemSSkHDLXuEbjTU9N7GwpaOmBHV6GG2iiOWoiFpweSIqsodOZaduehnW4One19r0LYGf/+4RlpenWxzX7jG6P0tKb2+Piml3yNjjMqHNX2qOirdBKB7yOXW5ZxEtXKz2fOaMiQastSQNK2eJK3PKn8XbEf29mS9mP+8Ipezcznlei1O8r64Jq5n3u/ZVSG9lcvB/tta31QG0xjp/Q9dfbAt1e+5PH9SVO9uSWXWrbVsXraKXAYKDbncut7M5eDx2WvuZP1i1DQ3a0+vEO1qNhdyLrfXWZxypTerU3nJ5RXVyXY7ICO2FEm/gT3J5cnlIW2uNypJ74cgl42CUsaWVm1tWs9Ws9ny/25mjnc0ZUxIlqQRxZYmjSKXAQDAwEen7AATDvtfCOvr6/t5TZpYll/qJ2S3cnWq5Y9qDOVp3pTmMo219CjWbEZSKt0Y2xH3chpo9ekGWjAC1l/39BW3QYds0Oi00o1Nq/0rbzsrGmq6Ojds+/O4BqNrg0Zec62VRUq4TRuccE2HpZIyo3iztzP9PkVDlmIh/331PKm20VMi5e8nf04ckzNCOBih3Frjtz5hFHeNUp5RoqFeKdfo2dVul0efTi4PZRpTrTX+9p8YyfwePG+gotTR7PERTRnjqD7ZtK9C6RpbRtK2epMZIT2pPKSpY0Pauyosx7a0d1U4c2J2WNRKz8vT9L546Z/6pNG4EjvTcMserexYQUksS9GQpVU1ng6dHtWu6ectK3I0Z3xEh82IakRR+gNglHPyYUSRpbHDLY0dZrfYF+XDbO2MG6Vco/p4U8f3uq2e6hpdOc2O9q2VbgLQdeRy+3JOohqTO9+c/OOkZ4zq4k05k32StLbRUzIzYZ2lkG35OZx1TCOX28/lrbU7lUhJb25UJhtWbXG1rd6Tmy4D2J2rQnojl+dOCMu2g5Pj6Q4K4297Q9K/XVK/5nJJzNaiqelsNukrp7LeuqgjzZ/Ycl+Qy0D/CIfDsixLO3fu7O9VyRi0uSz/WBpkVtBRGfweZHNPc1nqejYXci631V5uaKiXZ4w27rTyksuTy0M5V6UGzx2oLAtp8bRoj3O5JGZrZkVIlm1l3oPsfy3b0syKph7jtrI5FrZkPFtzJ/jPvWBSVPvuGiWXAQDAgNe1ScrQ7xzH0YgRI7Rp0yZJUnFxca/MbdYTKc+oId3AaD7+1ZJkUpaKwm3P8+J6/tWTsfQyxhg1Jo0iISvnBFtnGM8olTBKGb+nzbYtf76e9P2OJSXS/7ctSwlJDQ3KzA/jphscEcdSNGypIV1qypYUi1hqSHhyTTB605IlI2Nbktv1dc3mGCM3ZWSHLcXjlmxjZJJGTshSMmEp2Wx5yxh5SZOeO61JZnSzJaWy9rd/AsBSY2PuOtrGKBXPLQNlS4pG/feisdHvwA7mg2mUWr7H6adMSKq3rMz92fvWeJ4aGxu05cPN2qESJdymhmDz0ad1jZ5W1qQ0q9JvAHnGaEV1UpPLQ5o/KZpz395VYa2o9huYJTFbcyfYeuIdN6dxGTSmJOm5lYlMgy3pNc17ZNLDnOOuNCIi7TcpkvN+2palOeMjkqTl6xPaWOupOGKprjG46sjfTteTwunRxcvXJ5RIGm2sa9q7ReGmK3k21LoKb1DmeZveK1uHTYvqntcaMmXOPOOXYBw9zNYH24w270hqdmVYm3Z6mX1RHJFCjqWoI9XUe3rinUYlUv7I620NRpYlFWedDAlKN+1dRUMT6IlCzOWmk6ctr0rpr1z21HTMDXI5uDooqFpgWVLCsppy2d8Yf1nLP5ldlM7mROYY7g/CIpez1sWSZIwaXFcb6+u0fXutdmq4du5QJhuKQlK98a9yKQ63f1VIPnP51XVJ7Yin3+/0B8Q1kpuSbNu/PWX6N5f998vW/IlhPfyfeCaXbdv/3EYd6Y0NLrkMFAjHcVRWVqbNmzcrHo+rtLRUoVCoX7N5MOdydps5n7ksdS2bCy6X1XZ72TX+4OUtH27WNq9EJuTkLZclP4Nby+Y5u4S0/INUj3NZkv6zIZWZPzb4rLnGHxRtjPRGdUqW5a/XyppUzlWtnW0zk8sAAGCgolN2AKqoqJCkzAng/uSlG4TtTRHjz+llZUrhNH98PCXJ+Fe9hNIdY0GrMBryS8uG0qMWU+mTa0EDMukahWzlfEn2jFHS9b+YK/3lvKnBqUwpYq+VCkDBsuFQy9dIulIqc7VOUwND8l8/GlKfflk3Rv5caNn73pK/1sbKuS0WstR81YykZMrIbWU/OLa/D5KuketKnppeJ/vlgrc06MyOhSx/zppmzxmUKtqp4drpjM7c3nz0aV16/rlESkqm/PteXeeXHtpY62r+pGhOgyy78dd8Dh3XM4q7/n56dV1Sjm1U2+gpZCtz0sD1mrbHkn+SuqPG1+TykDbUutpWb+TY/me0rjFd0kr+3HX/XpPQxjpPtm3SAwP8xnT29gSjlZtLeZ4eezue6ZDNvFeuP+9PaVRKpGxt2unl7IvZ4yNKucmcEdWS1JDyty4YnR4JNd3nl7Fq/QQ0gM4rpFyW/Cs9sq9iCfIs83s/5HLwmOC5ZfknzVJecCw26XXNXSfHlkJOK6+TMum53sjltnLZSCqOhOQVjdXOxmJJTcd/y7I0eZSjbQ1eqx2mfZXL729xFXFMZioBN2v3eekTqxG7f3NZ8rP5yf/Gc3LZS+d0bVySPHIZKCAVFRUqKirSpk2bVFtb29+rQy6LXG6vvWzkdwyaaKkUHuWHV1pv5rKUm81BLvttYEtL34prR8L0OJclaeJIR//dlJIn/3Pmpj+zKeP/Pexs9LS1wWhjrd95urHW7yTuSpuZXAYAAAMVnbIDkGVZqqys1NixY5VMNr9Wo2+9vSmhjdtc1Sf9xoplKVNGKOH6v48osjWvKqJh0ZbVst/elNCmbX4PmWeMGhr9xlzI8svVhNINFjvdUvQ8aUyxraqRjl77IKmU5zcK5lSGtb7W1YSyUOZ1dsY9rdue0h5jmkaQ/ndzUhPKQoqFLT23Kq5k1onIcEiaPyna6gjetzcltOpDVwnXb546Unqd/S/+YVuaMiKkaWObvqy39/qt7Yuu8IzRm9VJbd7hZWpgGUmNSb8nOha2chrQY2K2ZlTmNpre3pRQ9bamx4dDatofRqocZmuPMeHM6+xMejmdmJJ/5WZto18K2rGkycNDmlEZbrFvQ45RWXFUtTtz923zDtCWc9w0jeANyja11SDKnkMnmDfWNX5jvHq7PxLX9dKjZ0P+COXgpIElaWSRJS/dOP9gW0pb6l0dOi3WYvRxSczWyGJb2xtcFYUsNaQk22q6GnvNVlchx1Jx2JLnWRpbaisastodrZztiXfi2tbg+QMHshr2Rn6juC4hTRvbcm6bYC6e5qOeh0f9MlBJt2snoAF0XiHlsiSt+CCh1VtTmRN+RWF//rJE+iRfLGzpo5OifZ7LUtvZWFnq6PX1yS7l8mpyuZ1ctmQsR3uMiGjvXaOZq0ECYcd/VPZtwe99mcsp1yjlSruWO9pY52lnvCmXQ7Z/xYplWf2ay5KfzXG3qSMlu0PFNVLCs8hloIBYlqURI0aorKxMrusqleq49Gs+DaVcDsr2Sum5WNNXRtqWNHF4SLObZUa+srlQcnnUMKupTLKRdi12NGeXSIv2sh12NLI4okRWNQepd3NZaspm12sqRVxv/KoZ2+N+Z31v5PLqra7CtuQ5/pXdQXlrIymeNPqg1lNx2FIiJW3a6XXqCt9s5DIAABjI+HYxgDmOI8dxOl4wj2ZXRVWfSmjHtpRk+fODhEJSY0oaFjUaN9zR9IpImye5ZldFlZL/hbc+aZRIt+ASxh/pGLUsWbal7Qm/gVMatfTBTumdGqOUCStsS8NtWy+vl1zP1qZ6af4k//ViMWlUWe7r7bVrkTzjzx3S6EVzZlV2PemtD51WR3zuNjaiD+oatKM+6NTz/02k20y2bWnSmKhiMf/9qGv09O/quBKpsFLK/mKvnHVsS3sliUpitpavT2hDvTLrHwlJ2xqa9l/KtTSiyGpqsNVL4a1OTgNtt7ERbaqPtzkidbexURXHbM2ZGNX9rzcqLpM9aDfzvOlK0bKN5Nm23vrQabFv6xJGNXGpOOI3mNoafTqrMqxkSi1Gr0otyzY1N7k8lBlhGwlZsm0rM5/PjoRRccRScVjamfRHfkdDfsPLNVLEkUYPd2RJWr/d/yzKkl5Zm2x19PH0sWFtq/evLpo8ypYx0sotqcycRFGnaZ2bf56aj1Zubk5lWE+9G5drpJHFlsK20Yc706OrJQ2LNI2El6TaBlfPrU5ov4lhvVntaluDPzdRLOzPu7QjLo0bbmlcqa3Z4zt/AhpA1xVCLkvSHuPD2tiQ0I64J9u2ZIWkVEqSZTQ8YumgKVGVFrW+np3N5bqkP+ecbVmK7zD671Yp5YVlW9IwWXp5vdUilyW1ms2zq2LpXLbJ5d7O5WZXqwa2N0rbGlwVR6x+zeVhEUuNqaZKFo7dlMvDIrbfcZvy/KtY+imXpaZsVvojOjziX4kTZPO4kqbPDrkMFA7LshQKhRQK9e9pj6GSyxt3Nqqm3ihlglL6fibJ+FOxbE3YSqrptXuSzQMml3emy/6meww/2CFpo92yvRw32taY31yWmrJ5W4M/F3txxM/munTn67CIX6Gpp7kcvI6TksaVOjm5bCk3l4P3sL0rfJsjlwEAwEDGtwv0yM64UV3cUyrduRVzjBqSRsmUUSJlqWpk+19ig9GKji1JJnOVbVBa1p8PzChk+3PW1Cf9csmp9BWPCVdqSHqZssLB6NBAXaOn5esT8tKNL88YLX27UR9sa1omkm6ju8bovQ+TWvp2ozzjN2pf+yCul1bHJUljh4cUDfkdYsl0KR9ZfkOlKGxp9damJljLEayNOQ2n7HVsLihJtLbG1Strk3I9vxN5bY2r51bFVdfoaXJ5KLPeFaWOFk2NacIIR7b8P+oJZf5tFaVOZhubj/AsidmaPymqqnJHe4xx9MaGpPaaEFJVuaP9Jka0sial7Q2uHn873maJ6uCKJMlvaG+LNzUQs/dt1PHfx4akyaxva+sWfB5s27+ixqTft7Djl90KRuq2Jnt7Dp0eVWWpo+KIpbDtj8y2LUsJz8rp0CwvthULWRoWsbWpzlM4ZCkW8RunjmW1+d5lv9ZHqiL6SFVEI4r8kmPDIv58Sc1LTXVWRVlIC3ePasxwW+OG20p5tkqjwchkqT4hvb0ppX+vTWhbvavH3m7U5h2eHnkjrve3pNSY9Euc7Ywb7Uz6c1d9sN2/mixYl6CRSwMTGHzqGj29sDqhlOfPfxbkcjzlX5E4tyrc5olfqek4HAn5HZ3BEcyWP996Q8rPy11KbYVsSwnXaGdCmVxOef6JxXi6N4xcJpfby2XHtlQSs7Uj/TzDo5aGR/xctuR/plz1by5LfjYfvHtEsZCl4RHJtv1sdtLbsn67Ry4DaNVQyuUFk2MaOczOlOwNVta2/Q69ZLPX7m4290cu710VVn3CKOQYTRjpaP6kqIZFLb32QUKPvtnYskxyml+dyf834vjvybpt/ZPL2ds0dayj3Ub7g5KjYX/9hkUtRRybXBa5DAAA8otvGOiR97ekVFPvKZVu8G1v9DtKXSPtTBg9uyqhusZWJmFJ84zRC6sT2lrvZco3BR2y8ZS0I13qJxqyVByx5Xr+6wSCKWGs9Jfn7NGhbTXWGpPpEnpeU4OnfJjf8IinpJqdnl5ek9DLaxJ6e2NK/92c0jPvx7XHGEfFETszL46R/4XfyB8JPLOiqRE3qzKcaURJXRvB2lbj1DVG2xqM3t/iN3L2mxhROCTtMcaRY1vaf1JEe4wJafexIe0/OSLH9kd4VpX7jcbWGhQlMVuTy0N6fnVCa2tcvbYupT0rwnp3s6u1Na4efyeu+oTnn+Q1fnnIVqpV+VdwRi3tt2u4ReO3otRfvxHFlianG7RtrZtnjF5YldC2er9xFDQ0tzUYvb0ppWXpRnZbSmK25oyPKGTbmjsh7M9f4/kn6+sTRsOi/ojghOvPrzR/UkS7jQplRiPvNiqkQ6fFtEtZ03vZ1nsXvJbkl5RKun5pxKCcV1BqKjjB0RUVZSFVlDratMN/rG3bGjPclidLnqSkZ7Ryi6sn/xtXY3r9ms/5E5wAyLxHXV8NAAPQyppU5oqHpNuUy8b4x4in301oe0Pz6ziaBFdWNiSNdsb9EoTG+IOkahv9k8j+SUlL0ZB/hUH2cef/s/emMZJd53nwc865S1X13j1bz8KZHoqrhpspiaQixbIkSpYN20mcWEkAJYatAELs2LJgBJEdA06AxHBgGETg2EISO7B/OPEPWbD9RZFJipJsWUNK4j4UZyGnp2frnqW36q7lLuec78d7zr23qquqq5fpmSHPA/RMd9Wtu5x76j7n3Z6XmZ9YOV52vLw+L/seqaCkkpyjuwcFfvKBMibNvQo94ON3hzedlwHgek2j5DFwbqrLAk79H5njZQcHh+54N/Gy1hoTZW4SrgnM8HI91tg7zFv4drPcvNO8/OD+ALVI4/lzES4uUkJ6JWB4+UKC01dTLDfpYa9MlWY3JxtjwIERgZFyfi92mpftNT10IMQjBwMIDtQjbaSd4XjZwcHBwcHBwWEH4IKyDltEa6WGRmuVhlS6Z/XJidkEF5cklJFfilKT1Wv2lWogSjWUUuSENK+bdXd+PK1bskNXmgrHz0WIzKFnqxJ/+XoDl5ZTCEaZnaWAZRmvK5GCNjJLqaJKxDNXSV5HAViNNF44n0ArnX1pOJAbxVLhB3MplNZ47XKMWqSzjOYi+skG7WScSm2NcKpClkrjrWsSSQq8MEOBb84Y3nc4xPvvCNdkeAJYkwH92uU4k33qlqHscXIacEa/+wIdK3MAMrRnFlVLNnHRmPzQ0RLed3jtuRWN3xOzCS4uy8zBLk1md6LIsFpu9J5PFtZ5sRLpbF+J0liuayRSI+BAKBjOL0m8Z7eA7wGPHc7PxeMA560X2u3eFXvm2e0sSGpqc/0lO2V3T40LqjACGcS+YPCNURt61C+KMXu/GIZLlI18ZMLDD93RW5rRwcHhnYFjkz5SlT+rFXI5Wwbi2hdm4q6ft880q0qhjJNRGkeW0hRQu1JNwVj+jC32ClMaCLlG4AEPHvBon8up42W0cl+n6qTXLsc4eTV51/Dy/KrCpWWJig/q+xrABBeAg2NUZTNY4o6XHRwcbltsFy9HqeHjTrwsN87LK02FU1cSknJFzjdn5+mZvhlefn4mxpUV6hVqK1K1OcdU0rMdQGaHFquAi1iPm3eal3vZzLZ6mRmljlAguwftiCVQCRmecLycwfGyg4ODg4ODw7sRLijrsCUcnfAxUaGJxEDBUpuNKzhwcNRbt9/YYMiyIGwnv6LW1B8kSltfsyAJ4zw79NtnI3z7bBNxolsyc+smu1hqjQMjVBFpM17jFBgtk6ReZjgax67PGaYmBD5wh49IktHim/4rAG27GgOHRngmm3T8XITvnovX9HDrJxu0k3HaTDSkBsoecGVF4eunGjg7n0Iq3VHaqWhQ2gD1qSspXjgXr5F3OjwmumYoHxjx8KP3hZgY4Bg296kIe6+1uQ9RqrOM2I0Ehi2mxj2MlACf0xgPlXiWScsBHBxdv08OkBt+ZZ+MMPugU7DylgyTIx4Ojwl8dyZGkgJnrklIpfHShRinrqZYqpMxXxyXTveukzHYSwarX3SSy/I94K49HsYqHJwxNBKN0AMEAyo+w2DI4Bkjk/oRUa+kDxwOegYcHBwc3jngjOGjdwVZ9aTlZm6eDSUfePxwd6fT1LgHzlsTpNZAA8sRsNLMA6LWwWzexmoCRInG0ycjTM+n+OZbERqResfwcpTm12uds7PLKeqJRiNe6xBtd/QuN0hO79x8ukZ6cbGuMF7Jl+jvdF5OFFVwHZ3wcGTcM5VIEqmke+p42cHB4XbGdvCylS7uloSjsTFePr8g8e2zEa6uptCaKm01gEVTfWkrJDfKy48dDuAL4ndR4GW7fS0iW8vaocsN2bHv+XrcvNO83MtmFowCevfv83D3bg+6x6NdaeDSksRAyBwvO152cHBwcHBweBfDBWUdtoSBkGG4TItsK1PETYQ2EAzvu6N39clQiWPXIEco8v44RTDklbesYMgW1/kalB1ss0MX6wqrEUkaa6WxGikkxligHrV5BqfNeCUH5lrnJgCMVhgeORjg/JKCLyiTshIwSJMpzBid4zffirMM0OWGxsXl/rNBi0ah0hovX4ix1CAjR+q8h241ApRSWGoYgznWGK+0ykC1y1C9OZfg+qpCLDXOzad4+iRlQEtNAd2ZRdkzQ3m04uHJe0sIfdZykxiAPUMMgTDZpoV71I5++v4ANB+emCrh7r0exioMDGQsBYJhrML7Npas4ccATE0ITAywrF8xBzAY0rXNLMo1Gc/T8xKJ6fkUyfXvXbsxKDhbU31bNKh7ZWC3o10u68KCxOVlhdTIPsYpSaFJRf2WazGdtwIy58pWZaEcHBxuLyitcXZeYSg0Dl/bq938/tG7wp696ywv+4Ih7LaZcWYpTc8bGwgswlZuLDWUCbySg+924WUg5+ZUKbxyMUFUkHMMjHM8Sqldg30vllStcnhMtOynnQO//XaMWqyxGmlcWk6z6iSpNZLUcJ/jZcfLDg4Otz22g5cfPxKi5NPzvRtsRWw/vNxIiH9qMcnJSkWJvEkhwFYOsGFeHikLjFcEmFHAiCUFwyw3n1+QmJ7Pe4++MBNvqILyZvHyejbzBw4HePhgiEcOBRgusZax9xhQ8en6PUb3oduaw/Gy42UHBwcHBweHdwdcUNZhSzgxm2B+lQwpKxkIkMEZSY2/fL2Bao8eOQDwyEEflZB3dBxyY8B5HBgKkRkbgueGZuiRQas09QE5Mi5wZIyjHiusxuQItvA5gy9Ytui20kdUtaOQyDzD1gZ/r68qvGCyY8s+Ga6TwwI/cayE0TLPspyLvXMOjgqMlOj39bJB2w2w1y7HODufZkHXROpMslmZ6qSkYI9UAtZieBWllS4tp3j7egqpSBpLAaZ/L2VAjw9w3L/P65mhbI3eOAXKHmWWMkbZuUoxTE1wBMIYY8agbzec2s/pL19vYNYY4FGKlt43AyGDlIxkqJRGI9Eoe2TAvnwhxquXevcpBnLD7+CYAAOy/jWBYBgIGJSiOXD/Pm9NxnPo0YPR58DUeH+ZvMUqpJWmwnemIyw3NE5cTvDqxRgvzlCl8jfPNPDXJ5s4d71zBna367Lj10iBpYbKnCZF50skW+eFHTtga7JQDg4OtxdOzCaYXU4RpViTxKQ08NyZaF1efvRQgKnxzp5f6+gdCBgGAuLlwZBB8NzxKgwvpoaXB0OGkRKD1vq24GWglZufPRll1Ta2f1vTqHEAQFyQDiS5PIaZxXyM2yUPnznZxHKDSpGlad1QrE4aqzAkUm+YlwMBDAYcwyVyrAY+cPcugdcux6g2pONlx8sODg43AdvBy0Mljo/eHWIg7B5sGw7RNy+HHnBknGMwAFYLQSoLwamn6Hq8bLFYU3j6ZBPLDYl79voYLVOwcGpc4D27PYQiTyIKCxWTjx8O+q6gvJm8vBGbWSmGwSCvhOac7PXREuAJIPQ04kT35GV7Tmfn0yxoeHY+zbZ3vLwWjpcdHBwcHBwcbidsTifEwcFgatzDW9fSzDhjoAW67ZXTTIBnT0d48p5SSy+UIn4wl0Lr/HNFKFP1Ag0wkITOwwd9fHcmxsUlCjYGnBbfABkB77sjwKuXEkSSPs8LxihJ1NhFN/Dg/gAPH/Rx/vW0RfII5loUSMLx7LyEJ4DRCgfTwCOHqKLnE/eG+P9ONI3Ry7Jz+MDhAHUjk3RskrZ95JCPE7M0ZsWxaDfABCeDCiCD+M5dApeWJRZqOhtjC8GBRFJ1rQ3MHpv0kaTIew8hrxrSRc82KAP6B3Ppmgxl25fn7HyK+Tr14tFaI5LAcBmoxXSOCw0FqalXS5xqnLkusVBvYLjsYb6m8Na1FB88EmTndGk5Rc30rfGluR8MiBPKbH38SIjpBTofqSgoDQB1TRnGZ+dTMMZwdUXi8SNh1zkFkOHHGMk9A1Q5PRhqrEZAmWnMVSW8WQ0h0DrmjGGswrBvJDccu927Tjh5NSEpJw2cXZDgTGbyYY0EYNBIOHBpKcVCPc88tjLUD+4Psr5Fdu7cv8/D5SUJj2mkZl76pmdRPaG/yYAGViMA0BgtMwyVBBZqakuyUA4ODrcXtoOXOaNAqeziz6P+dRoDIYPHGfYNC9y5S+D5czFSpbHSJL6CBoQASh4wWhY4fS29LXgZaOXmWJK0o9S5TLJgxIEaresXy7n378ufuUVeBshRrAtFrjb5ymIlUkhlzvb98HIjYQi4xvlFCc5p3ARjeOZUhFAAZ64m8AVzvOx42cHBYYexHbwMkM3WjZcBUo7aCC8DDKsxfc5WstqjVwKGK1WFE7NJKy93CMgqTcGu6zWFr5+OcGhM4IFJH1drCscmfWgNLDWaWGrAyMiyTPlBcJbxzEZs5p3m5Y3azKlmGC3r3GauawgjWb3cBOI0xcxi2pGX56oSUmtU6zqbI1MTAkmqcWVF4UpVYrTCcbWqbggvj5aBhmkxMbucwjd9iM8vptna6lbgZQAt3Hxs0kecaLw9n2brRcfLDg4ODg4ODrcqXKWsw7roJR8zVOL44JEgq1z1TEau7THLGBk1J692zzo8PCYQpRppB7UYDTJEGANCH3jooIc35hLct09gKOSo+AypJhklqs4F/upEE9NmMW7iufA5MGgcjRp5BqfSGq9cTOj82yQAizYvZ8C1FY2rVYVFI8VYbUh8/VQEX5BhokGSOI2E9tmtV0y7kWKzjy2kIoM6EAxHdwk8eCDA/hEymHjBYOagvihXVlRLVmexx07ZpwoarQsyVuY6bQb0kTGxJkN5fICjFmmkUqPksaw3kNZAIDjKnpGJBFCPqedtLMlRfq0GXFxKUY9pLL5zLkYt0nj4oE8Vu+Y8EyNhqZUGYywzsqyUUiTpHGm8WCY7FHq5QbYeiv1rxiuc7pOm++QLynw+fSXFYl1BFtLWpQJkwSHe7d51QiAYBGdZVm6qqI+t0vl3wjovipnW+4ap/89KU+HbZylT+KUL1AP4lYsJlpsKtYScKIFglA0Nhg+/x8d4mePwOMffOxrinr0e7t7jYWxA4L37PBwaF+sa5A4ODrcfunEzgBZe9gX1I7c8wBkgoFsqIduhdO7sbId9KVXArgrHwTEOT9Dz+uP3hvA4VedYXk4VcL2mceb6jedlpTW+fz5BqpBxrwaw1ND47kzcNy8DrdwsjAyjlUmeHBaYHGEIOLIqVbsHDkArjR/M5Q/49t53lpuh8/GwEJxhKOTwBb3aLy/vHeSoJbnDX5kqoXpCChvNBFiNHC9vJy+vRArN1FQpc1qTlQOGoxMCIyXmeNnB4V2GG8nLANnMNgDXCckGeHm+pjE9n0IZuWLLy0Omwtb25mznZdHGy0UIY/efm5d4fTbJAlzfnaG2PGU/t5ktLyvdve95L5t5p3l5qzYzQDwWp0AzBZZ68HLgIUusps9pLNZlFjiNU6p2vhG8vG9Y4P2HA+opKzUiqXFohOPpkxFJ/0Y64+YbycuCU1V3M9UdeRkA5pZTPHOqifMFuedrNUn7UlY22vGyg4ODg4ODw62J23LV8fu///uYmppCqVTCo48+ir/927/tuf23vvUtPProoyiVSjh69Ci+9KUvrdnmy1/+Mu6//36EYYj7778fX/nKV1re/83f/E0wxlp+9u3b17KN1hq/+Zu/if3796NcLuMjH/kI3njjja1f8E1EP71N9o14+NT9JBkoFZCYKphAmCAiGBbrqquRObMo4XMK6GaBwwI0aGG9Z0jg1YspLixIPHc6RpxqCE7BqVIhqbGeUOUIzDlUfFqQ2x6zgYds0X1iNqHqVEYyPTbo2d6jLRB0fwEycE5dSfDs6QjzdZX1IonSXOLo0nLat/wNZ1QNGxcycjlj8Djwnl10Yc2EZfJTHgc8YQzmRMPjCnGis/G1hrPt/cN57pi2hg5HngF9blGu6fFSCegYAwHDSlNDaZb1BmqmGonSEIwMprLfWk2lNZBKcu76nByVZ+cTvHKRqnR8ng+uNI5YrXVmZFkppbv3CBzdJbI+OZ5gGAjJmC8aZL1Q7F9TCRkSUwWkAaxEwKUliUTRuKxGukXqspeEUSeny/fOR/j+TIT3TnqYmhAdH66c54Z+IMiorSc6yxYHgG+/HWGhrtBMNd66luIvXm/gratUMaY0sJoAAddopEAj0Tg+nUIzjWsrGm9dkzg26UMqhqtVhRdm4r6ylR0cHG4vrMfNAyHHp+4vYWKAerZbNQnGiBM9jyNO0VUG7sRsgoW66tm7TirA8xhSyXBxkY778sUEUhHn+jxfZEojB0hVCv3z8nCJuJBOvvX4Hm/l5emFFC+dj3HOyP9bh3I91llP9ZfOx32PcS3SEEJnjkrrLPY4Pa+PTvhUkVrgZZ8bebxUI4pVR162l8ILzkjoQrJVwLBY1xiviA3x8vW6Mq0eGMo+Q6EtICllIHe6O17OsVlefvtaikYC47hG5nRfamicW5RYjTTmlpXjZQeHdwluNC8DZDP3Coqmsn9etlKusSJeDgVIcpgxw8/AWIWv4eXBkGxv3sFot0lBZe/G8HK7zSwY8V0iNe7cJW4oL2/VZvZMlaylZt2Dl+OU7GvLzQrELXbNs29Y4IfuCG4ILz9yyMf5RYnQo/WXVMA3zkRYMtLOqabKaouN8vJrl2PMLacANI5MCAisncehZ/xC1qcg1/Ly92ci/O3ZyPQAVjg7n+IvXm3g2ioFpTUo0As4XnZwcHBwcHC4NXHbrTz+7M/+DJ///Ofx67/+63j55Zfx4Q9/GJ/61Kdw/vz5jttPT0/jx37sx/DhD38YL7/8Mn7t134Nv/RLv4Qvf/nL2TbHjx/Hpz/9aXzmM5/Bq6++is985jP4mZ/5Gbzwwgst+3rve9+L2dnZ7Of1119vef+//Jf/gt/93d/F7/3e7+F73/se9u3bhyeffBIrKyvbPxA3CO2L57PzCZYaGlKRrNxzp5uZbE8x+3KkLHBwVGRVLanJeNSaDISkR6bm1LiHcsAwGBjpIdv/prANY8CVqsqO7ZnsSQCYHPHwE8fKKHn0CcHyat2juzz8gwcrmBwhr2roMzxRyIK0maFSU4XNSEhZlbzNOvAFyfkAZAj5ntkOFHyMUoVQIDP8UtW//E21IfH1003UE50FeOtGMuiZU0389Q8amF+VJEfFyDiJzMUzBqSK48qKyoz4E7MJLi1Rj51EqRb5JVt5zFlrBnR7hvID+wMcnfAgzEBYY54C1AyhYBgOKRi73GzN2LbGrK3kpbFnmKvKzGAsOhQSRQ6Bhw/62fGHShwPHQjxyEHqM8TMvopyV8U+ur1gr+2B/ZRdrZSGUpR5a6t9kRnL1DMI6N4Pp5PT5YXpGG9dTXHmWorvnqPvj9JrPgqlcmM8SsnpH0uNxbrGSxdivHQ+RrWpyJjU5OhdjTTitqB3NaL3ALqOpTrtda4q8fTJBvUf0tr0H0pa+hU5ODjcXujk1Dp+LkIjzr/3nbh5pCzw5L0lSLBMuk+DHMG2OqdbFYXlxrJPjkavD14uVm4wxjA14WFikMOYaZAUAAEAAElEQVTnLFPPEKx/XgaA3YMCExWzWNWt3JzKvIrEOh51Cy1oo9mfP4x1f7SBlabC8emmqdjMeZme1wp/dzbC8zMxPE68b3lZaXJupxo4t9iZl1OlEEmqqrFnpzQ55YvVSffs9TfEywEHBgIOBuoP2E5B1lnueLkVm+XlqK39YyKBalNnQdpEUcDD8bKDwzsPN4OXAXr+DZdZFuAjKeD8fcH752UAWbBwIGC4c5ePj91Txr5hYSRsGe7d42fHLfLySJkhEHmVr4UyFZqsEBDcLl4G1reZ/+5sdEN5eSs2s60GLcImS7fzMkCvj1ZY5qxLFM2TIt/eCF7mjOHYpI+JCodSeeIRQ27fD4bYFC+/fCHBuespvvlWhHMLEldXaMft1Bylxs41763Ga3n57DwlRllebiQa9bavjdKOlx0cHBwcHBxuXdx2Qdnf/d3fxc///M/js5/9LO677z489dRTOHToEP7gD/6g4/Zf+tKXcMcdd+Cpp57Cfffdh89+9rP4uZ/7OfzO7/xOts1TTz2FJ598El/84hdx77334otf/CI+9rGP4amnnmrZl+d52LdvX/aze/fu7D2tNZ566in8+q//Ov7RP/pHOHbsGP74j/8Y9Xodf/qnf9r1eqIoQrVabfm5Wei0eE4kLXZrMQVmu8nHKK2RyNaKBmV+6rHG3mHeNVPTZmcenhCYHOZkTAky6gKRG6xxQUfxwIiHj99NGZ0PHfTw+uUUoUcSRoMh/XiCZf1xHjnkd5SlGSpxPDDpI1WAz8jYkYqMSutE1qAeqlrnGZoP7A9wYNTDgJFNCkWeWTxR4fjY3f3L3zw/E6NpxtVKByaKZI8aCbDYIOkgDrSMbyyNbJBqrRTaM8BRTzTilPq0tfceUtq+prMM6Ha0SzoBdJxIavzI3QH2DQusxhqpyitwirDyQ5HUePCAh6MTZMxr0P0o+7lzn4OcAs+cbKLayL2c7RnM2XWnwCsXk8wR0i/sNaW6IAelkRnNFZ8hkZTx3EvCqL0H8HOnm7i4LLP5Pj0vceaqXDMmQGu1cvHvONU4dTXF2etpR7nQNdfCcydIxQOOjFM5m1QUoI1NRvGeIY5EoqWy3cHBoTdudV5++QI9F5O257+F5Wb7DA2Mg9JCamTOzG5VFJvh5WLlxsExktxPUgr4BR7DUEh9avvlZd8DSp7CcpNet0FF+/yUmqTzi47HRw8FODLutT7TfeLpI+MeHj0U9DXu0wsplps0xokiJQo71lID5xclluqqxcHKQA7XJDWOadGZl+sxkKR6zWfrCX2mWJ1UxHq8PDniQSmF5Ui3VLFYaOMQbqaOl1vGBdvHy1l7CAaMlkybAcfLDg5bhuNlwlCJ4+9NhRgpMfhGyWK4lCdNbYiXjc08YKorHzpIgcVO3Fzk5bJP/gCtCxLw5njWZvaF3nZeBvqzmXeSl4G13CyVzuT4P3ZPiL1DHMuRXhOQtejEywCwd5hjwKhIAMTLgWiVfQa2n5ftNVWCVgUNaBqH4RJVYm+Gl+eqEpFRllhtUpC107hYHranztlaXu42ni3X4XjZweGG4VbiZQcHB4fbFbdVUDaOY7z44ov4xCc+0fL6Jz7xCXznO9/p+Jnjx4+v2f6Tn/wkvv/97yNJkp7btO/zzJkz2L9/P6ampvBP/+k/xdmzZ7P3pqenMTc317KfMAzxwz/8w13PDQB+67d+CyMjI9nPoUOHeozA9qCblMzJq8maxfOVqsoW5cWqgPbsyxOzCa6sKFR8lkn9WEil4Qn0zNQcKnEwxnC9RtUIiaL+KAMBZZpKRZmOshAYHS4LPLg/wA/mUlxaTtFIqFdN2WfZsS4vk6ROtx4nK02F12cTBIIhUiSjl2XIIncC2yxma+AAdA7lgGUSjABV/Dx5bwkj5R6aj2147HCQVfnaHnt+oe/PgHFkJwoo+capbd6r+CzLzLVG/NUa3TPWXtUEZJLDmpHUks2Abh+TVy9FePliTEY3gNVYYdX0iH32VAzOdVap2Q0K1DPn66ciDIQMjx8JEXhAKhXqscm2ZeQYiFJgvq7w7OncELJSWUUpQZh7cbaL3FWv/sfdHCEKxugzWd0P7A969sNp7wEcpyTT5XPA5+QkWdf8ZUDJo/uojTPa9rNbz8i09uVgQPf/o3eHGAg4OKfKnbz/ELDYULhSzfsP9dNXyMHh3Y5bnZdtdWPosTW92IvcbJ+hNmGotRKSEql6VVFshpdt5QZjDJeXJeoJneBomZy+QP+8nKTAnBEasZcp25KAbN9T63jkjOEDR4JMgtFuM1qm1/utGDk26ePgSC53K4wssG8SYjjL+dgTxjluOZdR1ZHgrCMvK916HQy0dhCcIVat1UnFMVmPl987KbASr03EakfD8XJnmOsmWez+edmurSwvB4JhrMxwcFRACDhednDYBjheznFuUVLya1bFSFL/jG2clzljpiox77faiZuLvJwqw1fGDmznMw1gubn9vAz0bzPvFC+/djlGqhReuZggSnNejqXGUoP4bW5VbZiXD40LaKVxfkFmge+RSn6virLPm+Hl4vl34+b2ZHttEuoaCQWMN8PLAHHzaJlnSQXrYaS8cV4GTJ9mUwnuc+ph/+S9IWIFNFLteNnBYYu4Gbzs4ODg8E7DbRWUvX79OqSU2Lt3b8vre/fuxdzcXMfPzM3Nddw+TVNcv3695zbFfT722GP4kz/5E/z1X/81/sf/+B+Ym5vDBz/4QczPz2f7sJ/r99wA4Itf/CKWl5eznwsXLvQagi2jV7+bxbrCeCWfEtbxV49pUV4uVGc0Yo1nTjaRKlrA7h5gqDYVVhPq8zpUIqettW4aMS32exkAU+MeVV7C9lbRWIlyuTkGkiFqzxDdM8AzWUHGgB9+TwjGkPWu2TPQfZrbLE6qyuhc9cmNbGNojIe5qsTrl5Nty0odKQt87J4QZT8P8FZ8hooPTE0IeKYkKTVRYpKFQtZnL1UaK5HC0QkOzhju30fZyNYwtX1yual0GgoZRksMh0YFBkKWOXtfvUQ9Xo5PN/HGbIq3r6fZ/U9MVS40sNRQOHmld0RWGKc1B2W1nphNMFTieOJICKlZ1ldwKGBIFfXb4SBJaGsITY174JykBLXWGC1z7Bmie51KjWs12ZLJul4vpxcvxBS8N316rCNEaepV048jBOhcrWSdC6MVhpLHMiM2C4Sz/O9sXGRuEFr0M2uss7qZ0vfkb8/GeGMuwWJdI+AaXsG5sFTPJSzHK9xkta/97jk4OOS41XkZyKsbg2KljSJ+fPkC8ePuAYaVSCFRCoxTRYzlZau88MrFBNWGvCV5GaDKlU6SswymcrfAyydmk22rGMmcyBWWVffY5/z9ez1MTVCJaZTSPQg9BqXongz4MP1Ru/OyBrI+8aFH66uDoxwjZYbHDlPV0EZ5+SuvNtd1UlpOupV4ea4qMy4sBigiqRGlO8jLjJy/7WO43ozRMM58w8tlj9o6nJhL1+XlfcMCh8dE1++fg4MDwfHyrcPLV6oKmq19Mtrz5yBu3m5eBta3mdkO8/KpKyn++gcRZqvSjG3Oy4kCzlwjHuiFTrz84P4gk0SyNr9XdKwgl33eKC8D/XHz5YKMsp0ZJMG8frI90JmXAZPAfk+IoVLOy5aD23mZMUDKtdW0fdnLxneSmM8mUuMvXm+iFlHPWcGMgogGFmrK8bKDwwax07zs4ODg8E5Ef00vbzGwtkWg1nrNa+tt3/76evv81Kc+lf3+wAMP4IknnsCdd96JP/7jP8YXvvCFTZ9bGIYIw7Dr+9uNtVIysuD8BCqDDKtxbmA2EpItHgrJ8Ak8CsjWYo2VWOPZkxEePxLgO9MxLZgVySjVTVKmzVydrym8dD7GQkNhuaFRizQ+cDigDNKqxJWqxONHQnzs7hDHp2OkRk7GLsIZqCrFSvVNz6fwOfC+wyFluvoMkQS00vjWWxG00kZWGLhaU9g30nk8jk36SFJgtioRpch64lpbU5ljf+LeANPzGrPLKWIFrEYq6+MJUBZ0cVxPzIIMqj6gtMbb1yRC0TofS0aOmXOFalNn2aE2WC4VGUbS9EP72psRPnynxonZFEmq0EiAkp/3gbE9XoUABGO4uqLwwrkYK02JpQbVBL99nYxCpQGZAlIpeBwYCamPqTJj08lJXsR9ewWurpIkVDlgWa+ZoRJvuceM0T1Smgz4A6Mejk36WGkqTC+kmBjgWI00Sh5wbkFiMDDGdcCgFMP0QpqNc6+5Hafk3K8byWUNyqauNnWWectAzoFHDnV3AK80Fc7Op0hSK92lqb8P16iZOV8JGAYD6n8jjTNg0AdSMAhoxIpB6bX9/jYCDdO/TrV+R2JJhntsKnNiqcES6v2zEiks1KnH0sMH/TXfvX7lth0c3um41XkZIOeSz/M1B+c644mz8ykkNC4uSqQKWI2AoVAjMnKDlpc5Y7i0nGJmMYVUuOV4ea4qwbmpu2EAL/IyAw6OcJQCjrlliViRw9lWjFhslputE1kpcvbm484gNcO9ezlmFtJMqr/Iy7WEHPE9eTmi/Xks5+VVIzv8xly6KV5ur85qR8kDhkKORN46vMw0JYwt12i8fEFzMzLbRCkFFR7rUU21Xbwcilw+dDOwDuBqQaYy1d15ebTMcOduge/OxGaN4rjZwaEbHC/fOrysAdSaxmYuPDAZI3nY0QrHQo16tG4nLwO9bWZooJ7oHeVlqcm+ZJyOGXAaB2trrlchK0C9Wdt5GQAePRQgTYGLyxJlD0b2mapqD44IPHoo2BQvA/3ZzDXDZZwDQ6XcZpYaqNZ1VgXdCd14ORRAlADPnIqgNfFyJOneJIrGPhDAQAjUYpqXzS7Jef1Aa/peJQqIzPnD3JcwIJtYg/i5FlOyheNlB4f+sNO87ODg4PBOxG21oti1axeEEGsqT69evbqmQtVi3759Hbf3PA8TExM9t+m2TwAYGBjAAw88gDNnzmT7ALDh/ew0OknJWLkb6qehESX0t1QaobEN6onG3iGOj95dQuBRRYWt9vvGmQjNNO8xtxJpABoDPgANxIoca8pUCFjZnWdONjMjzUrFjJQFnry3hNBnLQtwDaDk5carNP1XXrsc48iYwIFRL8uYjVMrb6Phe5QJq7TGq5cifH+mtU+IzeJMJFWFMJOp6QlgwCSpag18dybFgwc8eIIkdKpNDW48xPuGBT56dykb18BDi1G1HjoZqwAZMNPzlGGrjIEZpbn9q5EbfQAZHN84E2O+plCN6L2VJrLPSmOsrjQpe1oDuLgkMV/TWd+8KKFj2Z5/ABmmnHPctVtgIGAYDCiz1ZphhXYtdP4cUJrh4/eGOLLLW2O8FO8xgCzLuRzQvahFOsve5aB+qY0EmRRU6KFFfsqim0ySvUcDIR2HMzKyVpvkBbHZuYnKs7o7wWYVn76a4ux8Cm2+N6nUWIkpSJookpIsB6avsZHUCnyOn3qgjINjPio+SRtWfGZjDRsCQ35/2vvc2deKL4ceOX/sPS9KrdlxcjJNDg43DxvlZYCqUSJJVRH7hgX2D3uZlL1UwMVFlfEyYByLSsMzVSy2f10qybF4K/Jy4JnEMPOcFhwYKZvqCQCXqwqC64yXX59NsGeAZxy6FW7uxssAMLuc4rnTMfWfvwV5mTPTA69wPQGnz+we5Dg8cevw8g/dEWDXYL6gSBSNkV2L2fHYCV4uBwzjZU5BlXXmRzf4ovWTlq878XKcAs9Px1kA2nGzg8Otg9uZlwcCCiRaXo4kBdC01tg9JLaFl63N7HFgtFy4plijHOCG8DLQ22aeWZRI5M7yMkAVq5yRdP1AwDA14WHXIM969pop0FIJChjJ+xBdeXk92efN8jLQn80srIGvyWa2fMYZcGVVbYqXazH9vtRQaBh1tdEy9a/1GCBBiWKfvK+CoxP0/RGc5tlmeJkz4mXfLigKryudtxZg5sfxsoODg4ODg8NO4rYKygZBgEcffRTPPPNMy+vPPPMMPvjBD3b8zBNPPLFm+6effhrve9/74Pt+z2267ROgxuZvvvkmJicnAQBTU1PYt29fy37iOMa3vvWtnvvZabRLyUhtMiGlxvVVibkq9ZqJTeYtNFUUMsbge9Rb5eP3hpiocFqwM5YtdpnJbgwFOf+a0kgACZJXWqynSFVemUjBW4I1GIoSR22+LczX8/W0L4CVpsaFBYkXZmLcuUu0XNNqkzIzV5oKL19I8OL5GKeupDhzLcW3z+aGpj2elVuyQbLBkCHVLOuN00w0vnkmMnI3JIe0e0Dg0LjAI4d8CM7wnt0Cvkf9boZKvG+pG5Id0i2B771DPKu2KHsmi7qPLFHOaGytlB7l8+ZIlP1bZz14rcMAyPvmcdC9HLb3XtjqGbrfg2EuOaSRZ3h7nILZ0wsSL19MOvaaWU/G6ux8/t6VFYXFukSqdGY8RSkZ4ULQ3M2vvbNMku2p9MD+AAdGPRpPkDHmC6o28gUZ9L5xDnS6dzarOPTIybESkaHuCWROXgagHADvvyPAgREPAyH1OH7wgIc35hI8dNDDoXGBx4+E2DXIs7HreU/R+qAeCOi7MRBSBjErGPsaeYURAIyWaL6S9DjdczvWFp2MdQcHh53DRnlZKp1xb+AzPHLIxwMHfBzdJTIpvtAzTijQs9z2urRS9uTg0ij55GizjshbiZft89aeHznmOLUaADlSr1R1xstxSpU+th/bI4d81GOS2Ts4xvH4kRADIdsSL9cTjabU4NC3JC+XzKPcKmQApu9eSH9NL0jEUt8yvMwZw6OHAhwcETSPNLIqYIuREtsRXn7scJAR6kZ4mYGC3r6g87A9l+n6u/MyAKRSZ60o7HhbOG52cLh5uJ15+VotT9q01ZIvX0hwcVFhpSkz++1242WAFDGKge+P3BVCcAqiWj7WfSS8sm3kZZ8DA0ZO2c6XJCVfSCAYqY0ht+Vt8tRwSEHTneZloD+bed+QyMZEcGAoMLzHNs/LwvAySQdrjA/Q+spyc8ljGB/gYAx45JCPg2Mc+4YE2mKqHdHOy6EAdg3S+Jd8k9iGvP1FsxBTDj26X4DjZQcHBwcHB4edw20VlAWAL3zhC/if//N/4o/+6I/w5ptv4ld+5Vdw/vx5fO5znwNA2vb/4l/8i2z7z33uc5iZmcEXvvAFvPnmm/ijP/oj/OEf/iF+9Vd/Ndvml3/5l/H000/jt3/7t3Hy5En89m//Np599ll8/vOfz7b51V/9VXzrW9/C9PQ0XnjhBfzjf/yPUa1W8S//5b8EQJmLn//85/Gf//N/xle+8hWcOHECP/uzP4tKpYJ//s//+c4MTh9oX+BHNksW1ANrqUHZtb7pc5OYviijZYajE7Ry9zjHk/eWUDbySGSsmECRD4AxJJKMI98kYXIGLDdzg0Qw6usJtDrnihmwZZ9hwO9sWAkOVJsK9VihHil8++0mrq0qxKnCaqSRGgOrmQInr6Q4fSVFosj4WqwrnLxKK3F7PMFYdj4aJL9c8nRWkdNI8oAWkFd4TI17ODFLvX++OxMjTjS+Mx1jqSFberOsb2iylv9gqoKYqeD0xfoGZiiM9B9ae6RxRrJMIyUydkKPslKtkVgJWGbIlH2GhjFSbCY1QPduel5mBhEZp8jGCyAHg8dJTjFJNa6vqo49bJ491cSsuccalNErjSVN955l2btaayw2jESztscGFusap69QP59ODoMirPEKAHfuFohMgjVjFPBuSqqmiSVQEpSt2+ne2axiwViWQSwVfW4oZLhrl8BIiQMK+N75GHftFjgy4eGDRwK8MZviwoLEqxdTvHefj9NXU7x9XbZkt3e7v9q86XEy4Kk6jRwdjLHsIS410Ejy+xEKwM+M2/yeF1H87jk4ONwcbIaXpSIn4RNHQnDGwBnDIwepogIaLbxc9pDJsw6GVDWQmKoRpViLBGFgOPtW4GWL4uMpNdU5FrFs5eWis2w165mWYnZZQWq9ZV4G6PmrwPoq29hpXtaFZDIry2+rXWqxDSi0cvPN5GVlAh3NlPrXWl6uJ7mzvOTtDC+fuSYxPZ+2BFD74eWhEPA9Os8opWNb330vXgaot97jR4KeQWsHB4edRy9erkYa1UgjkjbphcMXDPVEwxe46bxcTBbyOPDWtRRnrydIpcJCTeN67fbk5ZWmwuuzCfVXFZRY89qlNJPYDby8krMXOAwP48bzcuDR3LFBRXt1gQCEYDeFl4H1uXm1qW4ILw8EDPfs9rB/WIAxhpUm9eJ95JCP/cMClQC4tkIJAloDqWS4tCw3zMvDJWC0wjBcEoilxmqUq6HZ+W7vEWe0/cQgjaXjZQcHBwcHB4edwm3XU/bTn/405ufn8R//43/E7Owsjh07hq9+9as4fPgwAGB2dhbnz5/Ptp+amsJXv/pV/Mqv/Ar+23/7b9i/fz/+63/9r/jpn/7pbJsPfvCD+D//5//g3//7f4/f+I3fwJ133ok/+7M/w2OPPZZtc/HiRfyzf/bPcP36dezevRuPP/44nn/++ey4APBv/+2/RaPRwL/+1/8ai4uLeOyxx/D0009jaGhoB0amP7QbVaNlhsU6jHwvvcYZUAko4BMIev2BST/L4LQLedtbViHv21KNAEDDtGVBIPIsSSsLBFBmqF3SWgPgkUM+psY9XKlSX5N9wwJSa5y5JtdUozSSfFFODmojnRznEjf2IxokhwNFhrDHgcWawvfORzg0IrLjlXySWqobWSYVAxWfjBCbcVrx80W5lQ2KU+Dyksz6+iSRxtd+0EQogFQzaE1Zo8cmfZyYTTA17rVkw04vpFCKjLorVYXnTjcRp8BgwElC2qf+K1G7Vm0bGDN9eoxDkDFgMGBoJBofuyvAparG4TGBcwsp6jGwUFMmAK0zI9HeJ8ZoHEbL1MMmFOTQbSQgOSGhsVhX2TgLEzy28lseB6TULde9Z4Dj9dkEzZjmVOiR08E3cl8QZOTuHeS4sqLgC43lJtYYYivN/HyXm8j65BTnttRkmPqC5tlsVeLKDyRqhX5yWgPLUW68ck5yTHb87dy0+7dZxdR3hxm5bjJYtSYnDd0Hhkas8fxMjI/fU8KJ2QRRQr10Li2lWKhTT6JiJreVpdSF74i9XisLTn18GHxBPaYUgJJA62Qv/Ck19X9mkNgzyJFq6vFURPG754xMB4ebg53i5VTSc46Z51ai6Llle54xVuh/eYvwciAYeGB5GVCxRtkDUnZzeNlWUhwcZZhZkGiuo2K387ycAsbZrDXd70QB1QbtbygElALOzidgjN10Xp4/JTEQMFw31w0zX2x/RK13jpfjtmuyDlx1g3h575DA3Xs8nLkmuzrGHTc7ONwcdOVlpbM+lBZ7hzgAjdWF1nrLW4GXY5N4CrQGom5XXqbKYAapgG+eoX0yAGWPY9cgw4VFmQXQu4LR+a3G705eLs5vqakFxWiZZXPz7HyK2WpKPWQL82W7ePlaTWXrqWaicfxchI/fU0LgM0gJNFK9ZV4OPY59wwIzCylqkbG52dq2P3beLzUAhhR7hzzHyw4ODg4ODg47BqZ1P+JrDjuFarWKkZERLC8vY3h4eNv3b/t8WCPu4YM+XroQ49TVFErnxokwBorN/Dw0LjA17mF6gXqDXFykapimzCWMLGx1KWPklEVhAW0DUT4HAp8h4OQs01ojMFU/gHWIapy+mmbO3W6w+y7+baWIOm07UmZoxHR+o2WGByZ9XK0p3L/Pw6sXU8wup2ikQMApCzpRVKFUKUjS7RsW8ARwcdEaNBqcMTRTOqpU+ViOljmeOOLjuzMJUkUSOR84HGBmUWJqnOR6Xr7Qavyj7Tinr6ZoJrrjNQG5HI9GLsHEC8Z2yQOevKeE4bLAa5djXFiQkEpjNaaB0iwPTlqD0ecM9+zxkCrKyOVcY/cAVQjXIo3j000sN+l6tNaoxfk95oxe/9jdIc7OK1xaTlE3RrsnOFKp0EiR/W3v/4OTPl6bTbBUpysJBTkusoxjnhuz1D/Hw2NTZADaud1I6H5oTRm5GgyNRGUZzVbmSyOfN7aayMpC0j3UCDyS6/Y4R6oUnj0ZIU6pB4410BOl4fM8U1qq3IieHBZ48ICHp09GWGoocNA5AWS0cw4MlxgeOxzguzMJarFCLc7PaSAAakl+b37ogIfT1yUaiYbHyEBWXea6ne/DIUMpYEgKxmXgtcoxHRoXmaF+K+FGPw8dHPrBrczLD+4PsNJUOH4uQmyCTLHp4V58Lth9+JwctAqtvAzQ/scqQC0myXPGGA6O8cxJeLWmHC/j9uDlAyMkjz+zIFt4mTHg8LhA6DFcXpY3lZejVFPiQWGIs2qiwqCWPGAg4OYe3jheFpy2IzUNjQMjApWQ4fqKxOVqfkKD28TLR3ZRXuyFhdb+iLc6NztedrgVcLN4+a1raYs0MAcwMcCQyDxIY23mW42X23Er8vIn7g3x/fMJLi5JjJTJLzAQUmXw4TGBt67Jnrx8YVFiqaFaOKQTLA+/G3kZoPn97bMRFus0Yd6ziypXp+dTRDL312TzBLcXL3/wiI+9wx6eOdWkRCjjm0p6fD9CD7hvH1V1O152cNg43Dx0cHBwIGzkeXjbyRc7bA1DJd7S18UuUqnPTTHzn4JGqzHpF98xxvH8uQjnFyQuLkowRgaPlQAq9rUcKjGMVngW/LKTTLB8gZ9qWsQzTgHZSGo0E8qkBYAH9wdIJTIZHuvc7AidyySLwrl0gtLAcoMMmLJZZF9YlubcW/urWAOTgySLwkJdORmE1AtlNdJopuZ6QNmu9lgMJOv09MkI83WFekwZqcen40zupxbpnn1djoyLdaWYNJAFv61hqQoSRs0UeH6Gon22V14t1hCcjBCP5RJOoUfZ0aMVhqO7PDxyyMehcYEPHS3hfYdJkmuoxPHEVAn37PXw4aMB6nF+r6zx1kiAr52McGGRslSlIoNJKYVIkuNyJQbiVGFyxMPH7ynhak1huUGGW6KoStnKOAOAVZAOBMNoheEDR3ID085tX1AAMlHAaqQRp6rFmJLGAcFYq8E5Vm4NyNYT6un76sUUUmk8a+4hVdtq6j9jpKwSBTTMMVJtsprNPPnmmYjGBSaDXFKl+LD5njx5bwnjAx4en/LRLFSaaVAWdzFt5vW5FI8d8TFa4tl49/I7MACBR0FfO7/2DQt89O5SJnkVmD66Dg4ONweb5eX793lZQHaprtBINUqCemMXOSPj5TKxMUOenFLkZcGAZkrVKiTDqFGPyTn1uqlauV14uRZRn7woXcvLwDufl49N+lhuyOx41tGfKmTruFqkITWNaT1WtI7RQC0GarHCxIC4obxsK8F1YbzWcDNIxQS48bxM95fhjnGOu/f4eHwqxNS4h+s13TLPt4uXj01StZvjZgeHWw/deNkzPUI9nvd8pRYDCstNhbEKw+ExcVN4GTDBuB7cxAr/96Kwm8HLWgNfPxXh3HyKWGos1TXOXk8zidzvzsS4c7foyct23+vxM3sX8zJA83u4xLKK03MLEgs1koIu8tvtysvfu0DtER4/4oNzuse20rcbBgPueNnBwcHBwcFhR+FWFe9CDJV4luH32uUYV1YUQmHkjQrOpNg4y6TS+Lu3Y2iwLNPROhl9AaQS2ec9QZLFH707wDOnIsgGVZH4nIy01VhnhghnDIt1hZJvpJAYcG1V4aULMcYGOO7a4+FaTWGxrjL5nU513dagYjCG3ToOMWuAMMYwXuFYrCskJotZW+NaAUyTEaJA/3/krhCvXUpNFixJQjGmM4nGTjKGUpGknT2fRFGWMAQFAOOUZIJSia4yOZ6gzFLBOxsUgaDruWOM48oKBbcZo/6+1lAumcCcvf+7BwRWI4myz6C0BlMAN9VCnDEEHvVEsrJRdr6sNBWmF1IcHhOYWZS4d6/AX7zWbMk8LWaCJ5KqaG0vYQ2SDLb3UoMMTdsj59ikj8WaxPlFmmNCMJQDuicAIEDXIjiDUmtlhIZKHPtHBFaaGrHUiHUuoWnB0JpEoEFG9UqkUfY0mpISBcgIVjg7r7BQl1QRpQF7myYGWNYXljGSKZMapvo7D1pEaS555XHk+440BNf42htN7B7mWKjRB3ppFygNvDGb4uCoQLVp5B57bK8B/MjdAXzBMVJmmF/VeM9uAcEZHjnk48Qs1siDOTg47Dw2w8vfO5egEjAs1Q1n2Z3p3MGrTHA0EMDH7wnx8sUYMwsSsWzlZfvc1lojlpZXGOZrEtWmRsljOH4uwmOHg1uWlwMP2Dso8OrlOJOK7XRQaQKDFu80Xr5/n4enTzYxX8svv4WXFaBNha/HTIWWeZOZOaMksNiQeOl8jIcP+ViqKZxfImlMzzhYt8zL1iMO45xGKzcrTWtKkjzU2frxRvJyta5RbQIVX6GZUv9F2cfc3QgvKw388F00PuWAnNljZZaNmeNmB4dbA514ueJT5R6AjNfilGxABmC2quDxdEu8XAkYViOFWOZJWak5ZiLRlZepbyZxR9TBJrWwj951uuLsOC/XYgXOWEF6WOPKSppVIUcp8Px0vKYauJ2XlceglM7GL7tuZgLHPtCUZo3yLuVlgHohB0IhllSJOl8jXrbzYyO8XI81Li2nOL9IE09rQDGSW94Tsqx6eSd5+YWZGPuGBYZCjqWG6mlfMwAfvcfxsoODg4ODg8POwgVl30WwBsKxSVpgKisjxCnDMluA61aJmlSR4RV6tGhnQIuhyRn1NgHIOFuqU5YkNDAYUr8QwanCxxqlnJm/ATRiwC8By6aacmZRZobfE1MBjp+NsNwk46oT+jEsC74/wJ4/U6gEAgt1em16nvrcKLNTBZKU4oyMu2+cifD44QBaa1yrSVxZlmikvQ+cGRsm+McBhCKvyKTMS425am5hFmVy5qoSe4c4Sj5VnqpixVHhPu0aYHhwf4DXLie4sCQx6AOcc3CmoBLg8SkfI2WRHeOH7gjAGEkzCsYgBMiCM+fUqV9KJkMYa5y6kgBgODWXrAlGt4+IL2gOdasgUQDeupaCM+A9uzxcW1WZTFLoUU8ca7CVfaAcsJbxefEC7TEQDA/s9/HeSQ8XFvLzkmjN8LXBgqK8pp3XqQIY8gBFlNJnF+oqO3+AHPpvXpGZ7JZgtM9apDEQMnCTuSw4bath9m+M7MQcIEmBZqqx0JDrZnZzRnJRH7jDx1vXJAQnA111GPPsXmjgmZMR9gxxnJun8/3OdIwPHQ1bnE0ODg43B1vh5emFFBMVZJUNUrdKFwaCnl+Wl78/k6ASMoQeJZ4A1PcMOq/QsfLpkalmWTV9uFdjDQaNt67Jm8fL5kNaU+WEVho/mEvhCY29QxwHR0lucLmh15UuVOb5/E7k5fMLrb3ggM4cUfIouFB0DGeShRpYqGvUYkmVLYnMKmakAu1/q7yMfD2Y3S/D1XZpFUuqDhM8/w7I252XAfzViQg/eYzh66djLDUUlhvA0arEvhEPnDHHzQ4ONxG9eFkpwPcYuHlIFWOMGmTbnl9MN83LjCF73lm7JInzp8myefZKvZaXn5+OEScaqz0qAtehxpvKy7EESp6GbyRrK36rLLTHgVTqjKs78XI5YOCJhgaDbOvN6wu6vkoAjHoccyvqXcXLNqh48mqCQDC8d5LUVs7Om77v2Dwva0nrQTt/7PlGCXDmmsrWsjvJy48fDlAJqc+wvS7Hyw4ODg4ODg63Elyq17sE1kC4sCDx8oUEUmm8fCHB1Sq5jgZ8CkAWpfaKkJqctLrgcMwMUUYLaWv4KJBR2pTIArJS6eyzUqPFkatBRmbRaK0nGmfnUzw/HUNp1rL47iWD2A3ti3DK8AUSqbF3mL4GmdySMYQCQYt6gJzTzZjkla+tUsCYegR1Px/PZIByRn1RrBxPPdHUE8bILR2d8HvK5Nyz18d4RYBzhqESQyAYxissM3DsvfmbtyJMz0skkqpRVyOFekLvPz+dYLmRD3q79BRA1arNVINzuhFKa7x6Kcb3zkeZgyJOgUZKjvxmQrLNvWxsxshIHwrZmvvACj9ak5H/3Olm1vtVg6pXi31tSj5rGR/ONa5UJd66muLUlRQvno/x0oUYC43CvUaejazbXrPB8uw1BQyW6AuQZSiD5qutuLXBBjtf7byu+PReIyY5boAMZNs3SKpcOtn+XkSvIAYHGaw/cleI80sqy9bnrLdhqkEG/OmrZMAr0Hd1eqFHCr2Dg8OOYKu8nCrgeq0LL6P1OaUAXFyWSFLaVyxtEgpVPaSqtddWJ15umArSzfJy+yYb4mUQp4aCzj+RGr4A6pHGhQWJ80sSZ6+nWG62Jo11OgcGep6+U3l5sa7XVBK1o+xTEKCTkgRnKPTN07iwmOLaah78lCqvgga2xssKbfys6T4XkUhaRxTn2O3Gy+3zsZkAX36liaUGnbDUwGuzSecDOTg47BjW4+W9QxyTw/SNtt/z9u93I9k8L2sjLWSThtofP2nbc6qRArNViW+cjqjiUbGsF30/uKV4mZGcbSWgLS0vA8S7jx8JEPp58lQnXn78SIjA9CwdDJmpaM2PnShgqQlcXFLvKl4OPGDPAMe3zzYzbn7pQoJLS/m1FnnZ8mK/vGznuuV06+9psb13mJeHywI/mEuhCwpvveB42cHBwcHBwWGn4YKy7xJYAwGgbMnnTjdNnxdAKYbdwwKjZXJQ+oKh5LOOgVmL4nu24mSoxOFz6oE3GDKUPJJ/SSVJ6qzXZ8siFLT4j6XGYl0hVSqTPBbcOKnXQaeFN29z6A34wJUVRZLLHiAYw0DIskBqKKhqKEp1Vnmx1KB+fokCPKazSthOsAZAyWdITUAMyPupWLmlgZC19C2y0rKHxgUeN5JI9+z1MRjSZ6bGBSZHBEk0GeNlsaGx0MgzcJWm6s/ISF82U40XTI+cueUUT59s4KULEeKUjMnlpkK1qVGPNX4wK/G1N+r4/vkYp66kOHM1xV+fbGD3ACPjroOTodd9iFPqf8TaXuecDPBA5L15pGat2xhL3d77yRHRMj67BwRqsUaqab68dS3FyStdSrc63Jt2aFAPJY68p5PG2gelderb86r4VNXmcZJc9jhDI8kNzK1Cgb5H3zgT4/Aohy+ox5EGBVSK12IdJO3nC5As2tSEwLFJf+sn5eDgsCVsFy9bbi6+Z5/PQyWW8fJICTg4KtBM6dlhe732kjm0EKbCYbt5uZ0Xyl5nXg4Egy+oj591yFUjjfmaRD3RaCQac6sKewd5JpnczQFX8uk5mcit8/JomYFpYChk2DfMEYjcqXgzebkX7TCQFGbdyFbzwuvcJgGAeC30yLnd4iBmyAKP28HLdt/WMd8uB217G2pVSOTC7cXLggOj5e5zcrTM8dG7w62flIODw5awHi8HPsOduwLiZkbPF972MCoGjTbKy7YKNl3flAEDMBiS5Gs90dQWhemM2wOx7i5uOV72BcskbIv9R+MUePu6xGOHg568PFTieOJICMGpV/xQyDBSYhCc1jpSmSRzc9x3Cy8/fiTE1Rqdu+XmU1fSrG9rr/Pqh5ftsc2ptiQ82/d3mpdTpXBkjL5bqaYxEoUJyAAMh46XHRwcHBwcHG4eXFD2XYJjk36WLQnkcj9SUTbuQwc8DJUEhKnuDLhuyYTtBBs8BcvlYccqDHfv9TBS5mgkDEMBvVdtFmSO1oEn0FZ1S4bZkDEA+zEy2zM6gVbpR18AjDH4QqMR5+MhGMNwicPjDLUkr6ZMNVVtAgxln5PMFGMQrLORVaziaKYaHteZ01qwPGhGckJJJiVrJZCsTE5r35I8Jfu9+3wMhqyngZddN3J5vb8728Q33opwZUXh9FUJpTUZaCqvVpEauF4HTl9NEUkKSDcS4Pi5BPVEritJ2QJjgCdSZ05UznIHhjZzxzPGcsBpPsJsZyvFOAN2DXDcuctvGZ+79njwTGNY68hYDwzAaInB91rnhDXKbKAbyKWusgCxge2nIxgwXOJIFN0Lxuh86wn1u8k+23aM9bJ1O0GDsq2Pn0swWuYtWcSiME0EI4dP+zE4gNEKwyMHaZ6tNBVeuxxDGStYaY3XLsdYafb7TXVwcNgKuvEyAIxXuElw4vAEQ9mnChq/B/9pkMPLqjRA07Pb8vKD+wO8NpsgNIkbqUJX+eF2WLlFYPO8LHjvqhyPm758TK3h5YpPx0kMV9mqopWIpO98Tu+PlHlW0dKJDjToGNQvVmdrhc3w8lCJ44FJH6m2Ev0MR8bFLc/LlpcSRYllnmjlZSDn5VS18jIADPrEjdvJywAlZg2ElOi3Zrw0jRlnty8v+5x3/J4IBjx5TwiPc8fLDg43GevxstZAOUBmM3s8T+LshM3w8lIfUr8APf9WmkbiFfScbCSUCB0Iltn0vXAr8TIA1GMFm8rEQUFni7mqxLlF2Ye9DNir2jUosHdYrFulCryzeXmoxHF4TLRwcz+nJ3h/vEwB9Tw4W7wuwbvzcsP0hbfbdvr8RmF5+dmTEc4upHmCBGv9PvgCCD3Hyw4ODg4ODg43Dy4o+y5BR/kdRZm1qQKeOxVjfpW8s7HUaKToaRBykKFgq22UJodXlJJs0eyyRJxq1BLKsO3HuLSoxbkTTzAjyaOpd87hcZFJCvdCss46OZGA5wHjFYGFWr5x4MH0m7HGnnnDOBYrpp0IYxqp1GsMGmtUWXAOVEwFaMVnmKhw/Oj9JRwY9bLjTY23XlCnxf/xcxGSlPrrXKkqfPNMBA3Ksl7PYPEY8JG7Qrx9XWFmQSI1PV+Uzg1/0WEnqmC0BRyIE42ZBbUmW7YXGIDJIZ71nfE9yjwteeaAmgzxRkoGVCTzgKjUQC0xwX/BMBRyDIStJzqzKBF6LDNM+5lnR8YZfQ86bJtlTpt92Z5Qgrdm8MaSzk+BMtR9oaEUSR81E/q9aPCuGd4NWJlF45QcHhoLdZ3twuMMo2XKVLeymSttfYuU+Vmqa7x8McZyQ+L5cxHOzad4+s0mEqnw8oUE5xcknjnVxNyykzd2cLjR6MTLAMm/rkQKZ65JXFySKHvkuJKKuKsbLHd5nKprqeom5+Vvn42wWFfQjKHs5VJ1/cA+C4Gt8XKvw6WKOJOBr+Fle30lP3/eQ1PClL3uvUMcl5fTrEqoK7Q5jnGkb5aXX7sc48KypH60AK5UFZaaFOi9lXlZA9g3xFA2Y6k0Bdd9M28YyAFLso6tvAwAKwkdezt5eazMMFICYtlW/YPWOSNvU16mZC/VkgRhh1Rq4JlTEZYaqeNlB4ebjPV4+eKixLMno8xmTowiVLfH3GZ5uR9qlrogkaxy2dh6rFH2gYpPSg69cCvxMkCBXI9TP/Ij4x4+cW+5RYK3yM3dePnk1QRK0fVfXVFYbKi+5GsF3rm8DKzl5vVQ8oDxcn+8rDRxMGetvKyBTC2snZejlAoAitLHZdE6TzbgPurIy3PLCkrZwHErL2vHyw4ODg4ODg43GS4o+y6B0hqvXExaMn4j48Cqm54eqzFlttrFans/muLfEsiMFQ3KnG0mGtWmwvSCzHqzxJJ6t2wkKEvnCzDdKvejFHBhMUWqN+A564FGrHFwVKzpG7d3mKMe60zi2BpkSlOPvVhqrDZprJQq9I5FLh8ERk7XoYDh4JiPj90d4o4JD5+4r4TRslgjt2TRrZdRnJLhLM1ARikyeadelVMA3Ydvnokwu5xiKDCGCFqlgcGA8QpDxe9stGb9XTZ4HxkH7p/0sX9YUMBQARMDHD/5QAkTFb7G8GrvUZsqE5j1gPmaxLOnmi2Zqffv88Cg1/Tf6YbhEsNsFVhuApy3VpN2MjizzO8O+7dzOlUaqxF9SCP/XmXbAbBfO/vyRsZRaTK0fUHyXoJRv6GBkAzLoRLDx+8Ncfduj6Qz0Vr9xlnuREiUxvS8xAszMRpG6my+rvCXrzcxW5WoxyQ39p1zLgPYweFGoxMvA8BqRA7AwKNnZq7S0Lpde4WfBrBY11A6l0GMUrTwcpxS0sZmeFnjxvKyfeY+fNDr2M9Vg66n4uW8bKWCo1Tj2qrEQkOjmQBln5579vlXrMDwODlrj4x7uGevv2levrAgsVhXGK/w7PyX6jqrHOmFneZlhlaJac5Jlm/Q9u6LNQ6Octw36WG4zFqUTdp5WWtgJd5eXm4kQDXKHdLZsdquAbg9eVlwcqYXA8LF+7HUUHjutONlB4ebjfV4mdbYuc1sg43tz+id5GVd4GUbBFuNqALR60PFYr39C84wMciyqs0bxcslj+HAqIeP31PCPXs9PDYVdJQoBjbJy+skTKUaeO707c3LgdBYqCu8fjleU825EW62KiIrcX+8nCp6I1boqIxGic5reXk1at1fLUVfVc2d4HjZwcHBwcHB4XaDC8q+S3BiNsl64gCUbVr2aPGZKI04pYxWn9Ni2GZ3FjNClW6VY0vMdkqRQWoNwfbF9AbtywzSZKTaY5LUDYPehqYjglPQ9PXZBA9MkrH3nt0Cb8wl8DiZtQzAaowW40UqoBZpxDKv1BgtM4yXGUZM9uVgQIblYMhQDijjeqQs+pJb6tbLiIF6yKTmRBqJJokjrN93SOu8GpVzjvfspn60RQNTMGDXIIfSbE1vJIAM1X6ljoqQCvj6mQgrkcZwSL2HKgHgC45P3FfCe3Z7KHlrK4wtOKP5tdrUaKQazUTj+XNRZgD9YC7Nerihyz6Kr69GmqSUtYbHOkuBMrQ6WJRGZrzZ8+SMXrMVUaKQGdzxHDYxdkUIQUGEYh8kKel7GyUKr1+SOLbfI0dAYb5yBty928Ndu72sqpozkuYKBMsqgpuJxkpTIVEksy1A1dlOqsnB4cahEy8DxM0Afb8HQgZPMJR84iMgfw5lwSTk322bDKV1Z17WQCaxuhncSF4GqErixGy6hpcfOuhBcCBJNVZjUy1pPqMB1GKNhZoG0zb4xvCRuwPsGuAYLjH4AhgKiEcHAuLmDxwJ8NCBzfMyACRm7RR4OS/bceqFneZlOw/s3Dm3IHF8mryjgwHNsYGQ4eEDIX70vhLGe/Q/tbgRvKyUxmhl7SfaL/924+XY9Cu05zpWYfhHD5UxWqYr4wzYM0hrJMuydZPo6HjZwWHnsB4vNxJN0r3GZrZytu2JODvJy7a/u010ZYyeTVLrvlsUdANnwL5BhmsrZBvvHeI3lJf7tZk3w8uqj2DkdvBycX3WC9vNyxokZ82YRj0GLizITXEzzHlFKaBUf7xsr5kj7x9rA+822NnOy504eDO+hiKEAIZCuj/1hK5VSo1UUiD/xfOp42UHBwcHBweHWwYuKPsuwdQ4VZ5ITT1IPnJXiMkRD2WfrEOfU0YhYyyrEO2USWkNPwvqk4WtraB7IFHkZLOGm+AMtXgbdqxpX1Gi8dpsgj0DHN+diXFhQaLaoGuPTbZru8xP0ZgZDBmUpgU7N0awJzgqPoPgDHEKvHIxyRbr66HYy0hqnWVla+SSyVKT3A9Hf0a8NZJCATAonF9s7XOjNElinrkqEUvdsW8M0DnztROszJJFnNrexQxHJzw8sJ80oDlj+MDhEH/vaJD3Wupw8ozRsa1sZ5ySMQ4AR8ZEFkClwPVax0jROLYZ3IkCFBh2dTAygXye2+rngYCC7CXTs+fxwz7u2+djtEyvFaXGOt0PDayRtOwWiG4HAzkS6jFJjdP/5ADRAKoRcGExwVdebSKRpr8P8h6JnAGPHPIxNS7gC8pUfuu6xEfuCkhKTefSU3aepJrmbnv2edG4d3Bw2Bo68fK+YdJuE5z60Nm+bVFqvte8exXmmh7ZHR5G/Txz1sON4mUG4t1mrNbw8vdmEmitM15mWLuA1aDxKXnEBT+YTfH4lE/JQFvg5m68DAB7jDRjI8l5uZ9Kp53m5WLgEqDn/lJdd+Rmj3N86M4Syl0qgazT9UbwcqKAkZB3PG4W5MD28XL7uqPf78eGedmci28CyXsHqVf0J+8LMVKi7/tSA5ioMIQeVffYajMGx8sODjuFfngZyG1my8tA5+fHZnl5I1xt4p3Zs3m77eXLVQWlFFYjIJL6tuXlfixxga3zctrPgbD9vCxMwH+5SRXKQG9uXk/GWIPWZP3yMmeUxDBUol7C5YBhaoLj3r0exiob4OUO49QPGGgMldaIEqNsFinUjHpbMwXOXk/x546XHRwcHBwcHG4RuKDsuwRDJY4HJn2kCkilxmuXUhzbLxAZy6GRULCvbAyjSJLhGXoMgenvEQr6GQooY3i0zDBS5hgM2bpSfRsxLm2GJc8MB4ahgAw3gBxx9ng263KjSDU50ZgxAr9zjuRpAODKqmoxClKVZ3taaNieuhTEXm5q1BMyggG09CKaq0qcmE36Oq9apCGEBuemIjeljMxmkksm1yKNwGTPhsaQyDJTWet4WKev4GS0zteBRoLMkNSFShuN3HkQbOHJoJDfPyv9FEkak4cP+lnmMwBUGxLHp+OsR1z7rVRozSyvRRrjAxzHJskrcs70xwk96mk0VuEYCPLPexwYrbAWh0klIGNRKo25Vd1yb62j2I6F7TtYi6n/kw1gvnopQZwoPLjfp15xfRjgxd5C7fOp1/eHc8rmTUxFeqI0yZIVtqlGrX2UhQBGSgzlgGN6QeKVCwkYY0glncfb11L83zeaLeektOn5k1LAhWFt9nnRuHdwcNgaOvHygwc8CEZZ/dUm8TIAlH2qmrDVgEMl02oA9L/l5UCQUsNIuTMvt7/ksf74eSd4WcO0QpBrefniksRyQ+fOS6x13mnQs7jkczDQPr47k0CqrXEzZwx37hJopvTsjaVGPVaIpMaVaoqFBknbAcBYhVMf9ALnbCcvbzaobgOQ5cBU95igaidurjZIkriR5NdQxI3kZaU1Li3LFmexXUcUr2O7eLm47rjhvMyBwYBhuMRxblHhpfMxGrHZjwRqkcK5BYlmku/FzmnHyw4OO4NbhZf7hQ142qrDoRDbyssKRl45pufllRV1W/OyHQePrx0P6sl6e/My53RutYjm6b5h0ZObi2Ng51IxaBsK9MXLYPm4xCmgNVWVX6mSgb8hXi78vhleXmlq2I4atpLdwvalL16z42UHBwcHBweHmwUXlH0X4WpNIRSU2TtXlfirE000zHpRgRapjUQjNFWykamAGAxJoqniAzCZwaMVjh+9r4RAaNRivb5UHzZmtAwGuZEWpZokaDT12PM4w1CYG8HFnpkA/X1gdP2jxYVAYMCBwOyk7DN4nLVUUHS6PmmqIzSAg6MCIyV6vdhrB6DrmBr31u6gDStNhePTTZy+kmKxrrI+tva+FCWT941wHBjxMBBwjFU4hsoUQB8stZ63dQxTf6FWA4oDGAnzseMM2D/MUQnIsPE3a2WasbGJzj4HAk5ZzC9fiKG0zuR9vj0doZHmRm4ntOeZlgMyNl+7HOPImEDZp2zroZDh/YcD3DHmYyikufGp+wLsH/YwUjL9ZELKdq34JJXFAYCZLFm29hyUOTHbM7mZ0t/1BDh9TeK50zGY7v9B2u5YLmZHd9uHVHQ/PA5ok507FK6d80VMjXPsHRZUvSM1rtUkFHRmUMcKqMVt12v2oVRrr6JiX62ice/g4LB1tPPys6eaWGxQ9Z0C8V8s6ZlZCRhVaiiqmhgucXjG0cg5QyXgGK8wjJSJmzrxVvvzdCOSiVvl5SMTnSst2s/POrnaeVkYXm53ABeff8R1lFi1b1jg8cNBx/60QP/cXG1IfP10E/WEerFBk6xfLdJYbNBJ03kzPHlvCXfu8jFoepgFHraXl7fgAAZIZlKagRMMgKkoeeViglSpLfEyZwwrTYU40Sh5wEDAMTUusGdQYN+Q1xcvHxwlOUyNfB61yxnKG8jLxbXqTvDyyasJ9cDjpko8XVtpbds4OF52cNgZbJSX7TMqkQzDJQbPJDAnmp5tN5KXBwJKarHbRyYgtt28DG2SZ25zXi4HwEiZEpuLvMxgAnay1T7aaV7uZjM/ezpCI+mflxWIpx4+6He1mZ+YCnB0l4fQo3k0NS5QCThKPlU1D4UMAwFv4eWSl0sQF/nSts/ZLl62kHqDvMxoDtlg7nAbL7ffJ8fLDg4ODg4ODjcT6696Hd4xODbpI0kpmy9OFRrG6FAAxkz27kqkqR8JAC0BzXTWc6MaARqUKay1xjOnItRjE9zs4/jt27AOrwG08F2JyCDQOpcL8koMH727hJcvxjh7XWaLcmOLUWYno8/Fie2X2/uE6jEZ1JMjHh484OGbZ6Ksv25U1+2brznPSGp4EvjA4QC1SOH5mRjv2S0gOMMjh3ycmCXjstgHZ6WpML2Q4tgkZcAqrXFiNkGcaCw383MuGl72+jgDjk54eNDIGZ2YJefA1Srg+dTrpIhYkdPQ47ncjh0n6j/EMBxqRJJh3zDHQwdovyfnYpxflFBp/5JPncZKamDIIwNXaY3T11JEicKK6T0kOEMgqNrFXl+3ALhggBAM9Ujj+HQTiWRIUuD9dwR4/hxV2x6fjjAxIHB0l4ejEz71Y1xMIDgwUrgHgQd85K4Svn8+wfnFNJMxsnPSBmi17uwsscY7ANTWSejmWLsPrQHNWqWe7XGL423f8zngC4bVSFMP2JRhMNBYjvL92XPnAM4vKoyUFBij4LNSDKHHMTXB8Na1dI1RHwpyLDRTOoeA0/deKvo+CcY6Vjo7ODhsDe28XEuQPfCtYgFnGokEEknOR8aAekxPFSsfm0qNgUCjZp6t/Tp1+322bwcvlz2GoZDWEr0QpYAI0JGXV5p6jTRgu7MsluQAfvBACF9wPHY4WJebu/Hy1LiH52diNFPjhNNrOZFxYLzC8fF7w2z/83VJgU/Otp2XJaiSyibO9QupAWk+IwFwbaUJNeRigrlqinoCDJjgaWQcjIzlSVYt+yvwcirJSf7CTIw4BcYHBMoBObhnFlKkmpLX7tsb9ORlWkt5+Ju3m1hq5LwMtDpT29cJG+Vl61RucWLr/D37+43m5UDQ+nN2OUUqNYp1NQxAyXe87OCw09gIL6eKknPTLjZzIikwZasEt9NeBoBqEyj7miTV++BlMHr2axOorfgcB0Y0Li73PjPNyGY+ukvgoQP+bcnLvmdtZoU41dnz3d4Xqug16yqzM74BXvY5WnqM94MiLysAZZ/WWlJrvH09hdIaC3WNdqnh9XjZF9Ra6bszMVaaco3NHKUaz52O8NG7iJOPjAlMz0ssN1NU/M68/HfTEZYbrYkFdu1i1Zbar20jvMxA66J2302Rh9v/budljwM+JzUsdOJlOF52cHBwcHBwuHXgKmXfReCM0SKRa9SSwkKWUVbjYkMbyRl6XZsFv1S5MQnQoruWAEsNBaU1BNbPEG2faL0MTCA3LH2T2cs5MD7AwUxVI0Ar/VQBTBcW6pp+qkbqtxc0Iyf3aqRwbL/Aa5dSRClQTxRqseopkZO9pWkfz5+L8HdnI8QJ9dqpNmRmOLYHZJ8/F+HCglzTf2ShLrF3iGdjFYhcWpLBLP494KG2hf6hEZFlHB8Y4VmVkYVUNJah6ecT+jSmqaYgbugzHB4XWG7QdQBAGHD4nsl+3mIG8GpM1b226vfsgsJ8TVHGuAIGfJbNh169+KSm8z+3ILHUoA3nqhLfOx/THFUaS3WNmQWJVDJUAoaXLsQ4dTXNevRYxCnw2qUU77vDzwIMQGs2rnWQt0sn2e2Kv/eay53eswFf+51ijCSzKj79P1ZhqPhWhoyM62aqM9nGWOYGZnbehSz1WALViGV9mvYNC7x3Ms/BYW3XVPZZ1qeIg+5Tkmo0E41qUyPV9Gx4+WKMVy+5PjkODtuFdl62TibryIpSoB4jkx7PnwG5808j5+XESrXpjT23+9l2q7w8PS+xsk5AlqE3LyvkEsq99iEV8LUfNPHKhQinr6ZIUuCFcxG+PxOhFmk8uD9ocfx24+Xnz0V4YNJDyehJhl4rJzAQV3/snhAe55nT+MFJH+WAttpuXrYtJbbq7tPmAlJFAYSlpunB1gSOjIusorcfXp6el/i7s3FWKbJQU7i2onB5SaIWk4zhQk2vy8uvXEwwWOLwPZ6vRZFfq3WQb5mXOziQi9cE7AwvP7Dfx4MHPESS5BaL1+QL+iAHVeQkir4bcaqx3KB75XjZwWH7sRFeJhne7jaz1Gt5uZ9n90ae780k52XBgQcPeHhjLoHH6fkkTMUfQ17hqI1NNrssMVftHUZkoHOPpQZn+rbl5alxD/fu8RFY3hU0bsXzTlIKrpa8vOdqv7wMrN+ntRc0Cus6TZzx1nWJ+bpClADDJZadaz+83Eg0LiymWG7S69ZmjlONuuHl588leO8+H6evpevy8uSIaJH+tba79VF0uv8b4WWgezJ9Oy9TP3myXcs+MFzK+z2nZvGgO/Cy3Yc9H8fLDg4ODg4ODjcTLij7LoLSJFG3ahandpGpNbIeJdwsdodLDKNljqGQJok27w2F9PqATwvwss8wNeFhYoD17lXT9p7fYeaxtt8HfKDi0/FGygzXVhRevpDg8JiXBfk0qH9m1uvOOBgT1Xtyc2YW1MaA/svXI8xWU9RjktyxjsVu12QdqJyRUf72dYlrNZJyjhKNvzsb4dSVFN8+22xZkE8vpGjEJPs4u5ziudNNzC6nqCcazQQYLjOMVihL01ZTCpPNDJCx9vTJCIlUmXH6+myCByZ97B3iWI0UQo+1GEc22BkIymhOZG7cJAqYr2lMz0syTkwPlKlxj/q8mh1sJOu3HcpUbYHlBpwCVedEiUItph666/U6YgCqpj8QY8h6Otl7FUmqSir7LOvtMj0vkSjd0qPHYrYq8fVTEcp+PlcYkPX1gab7G3pbu/71Pmu/W/uGOCJpA6MMP/FACSWfo+JTZndJ5JJh7dnRWSZ34XihmTM2Y/eN2RTT8zJzRHuF70y1qbHUoNdTTWMVy3zu2F55Z69LnL5KDhFnaDo4bB2deNl+71JpKhAADJQYdg8SN/icAkPFQNXUuMCRMQEOepYeHhfr83IBGuv3Et8qL8eydz8whrzqpSsvGy7p5Pi0jlh7jMWGxuuzKd6+nkJrjcU6qTVshJcbsca1msbH7glR9nNeZizv5R7JnePlsk8u/URujZeAPHhgHZS5H1bjwqLMqlF6wfJyIjU0FMYH8hsTpzQ2ClS5kiqsy8tzVYnXLycYCliLg50XAsS28npL65J13t8ML7eDZ8kK3XkZAL5+KiKpRxhJZDO/bBsRW4HUSE0QyHzHViNKmHK87OCwvdgIL+8aIInXrjZziUEg5+V79njUA3YdFJ9v7bzZ/sQZCIiXJwY4/v57Arwxm+LCgkQjYRgptSa2WI600vDVpu75LLUy/MokV711Td62vGwDqbZnMPV2zwOqQM7LWQ/ZDfAykPeg3QwYkClHWV7O1gWSAqmMrc/LHNRznSS2gb1D28PLjThXeGrnZY28NcNm0a+9fGhUwBMU4tWaksgOT3iYHBFgbdWpnaqJi1LbgONlBwcHBwcHh5sHJ1/8LsKJ2QRzVYmykR9MJQVg7KJUaTLqfuSuABeXFe7bS7KBgEItBgYCqj78yF0h3rySYs8Ax9WaynpmfPWNBhbqnZfUa2SMVO58BUyWJc//HgoAxhkSBUxNcFxaol40Z+dTXFuVEIyBM42BACj5DGMVjreuSVR8MjA8RjKO1pAuHguga4lSs6JmQGSCogA50ayzsquBoIG7dnPMLKhs0Q6Q01mkOuv7t1QHTl5N8P47QgDA4TGBM1dTxFJnhkI9oapeBmC5rjIngJWCkgCgchmgpYbCX73egNQMoQDilOFqTSHwGRpxaxV04XSxGgG+yI/LjBGrQFWmjYSkkY9NUv+ZvUMcV1ZI4slKK20KDKh4Rr6r4JHmMP17zPn4gmEwJKO317gLQTKYiaLfLUZKwFhF4OoKGT9xSo7bVNLcmhoXeORQgFcu0vcglhpKUW/GoZIZ9zZDtxKQ9PKNhlJkyFlH+1JT4RunYxPIYCh5dJ8qAUMz0ai32Xceo+9U9jcnRwOQZzlLrbLsZ58Do2WGpQbNPV1wzNtM/+I9YBqZUTkQsMwZYWW0HRwcNod+efmT95bQTICz11NcWUmRSIahEnHzWIXh8amQKlYvUN+uH7qDvpu9eLkd7bwMFJKbGPGyJzgEJ2nAJKXA2WxV4vxiCobevOxzkj+0x2g/lg1grcfLthd4JwwGABjLrtlWQkjreGbAUl33zcucMUxUgOenSZHB8pWGTQ6i5+NiXeH/O9GEz8lJJxVuCC+PVjhGysC5+RQyxabBYBy7jM7Djr00PJJJIzOgLFr7pq2B4WWtOcoBEER5slTZs8lNNFfW4+XAo8qWxbrGUIlkHIUZD86JKwWje3qjsRFejlKNJAXiwiCNlEha1EKwtbzsCaqwsW0OSh4QCpK8ttfIWR4Qar/slaaGYI6XHRy2Exvl5emFtKfN/MqlJONlUjrSOHVV9p1YUmyvYmHl7wcCIPSIl/eNcFxbNapXAC4uSYSCPj8U0nPrzgmG6QUFzlp52e7fyvla2OSSWBL3xiklpAC3Jy9PLxA5CWisxIDWuqW3rAYyRQ9uOLJfXr6+KjHfruO8QXBGFZ/1JLdxE2OTyYKtth4v2wruis8wXCaO2iovL9QUBktkh9pqcF5ow9Crene7oBQArbFUp+MLDsxWFco+2bShBwAMHDRPKXSbw2OtgXPHyw4ODg4ODg43E65S9l2EqXEPgQcwxnBkXCD0W6V+hFmgT88r3L/Pw2uXUsQpBa1GShweZ5ns67FJH/tGPEyNezgxS15Txja2Gm9fvNtAEGNAUwKrTcqQvbgksXuIo26yPhfqCvWEFtqe4Pjo3SXYmopaTAvyVJP0bvEQxcleizWevDfAaIVnlaD2hwEYDFs/K0xmKjfnF6fAxWWNkRIZxsXql1jm8juUgZtbe6evpWRcm6BttampCsMYNxeWlMlspQW9MgGzzOAsfDZONaqRxliF4dikjzvGeNartVPfIpv9KjUZJaWAwecsywQeDChDdLWp8MypJuZXFSaHBIbKrMXOXk+iqghuArJW/oshl9hSMJmmxpibmhD45H1lHJ0Q2f4Fa6228oykFOPUK6eIRNLfxexewSgwcPdeDz90R5D1Fdo7xLF3iKMUMGit4QnqAWOzfDmMMSU3n/XMQOfaqSq8HQqUPW7vmVRAtamyOS+1xuOHPXjcSIO2fT5uMzAHQ74my5kjr8I+OuHhA0dCDIUcPgfGB4DDY7lcpJVjtNdAco3Ub8fKO9lkDAcHh82jX15+7VJKPTpV/qyz3KwUwysXiYfff0eIe/b6GS/vHtrYMq+dlzXyCpRIAqlSWKwrLNUUGOiZVY+pgqMWk/O0Gy/7gkGIVlnj4mM8lsCRCd6Tl23f8dQE5ywv2OfVYhPwuG6RC7bOTPvCRnjZE8Dfvp1gvk7tGpg576KnT5t/OKM1S5xq1BKNO8Y4Do8J1NPt4+XZJUpKmxxpva+dKlQ68bQdJ2aOrY0zPTTtCux9gab7FArgpx5cn5fLPsPeIY5U5gFZOh5DKFjmHKXPd+fl0QrH3bs9+KbXPGcU9PSN01Rw01Jhk85fy2ntctKdsBFeDgUDa7sHS43W4IYn1lYfJSlQDohbJyocH707hCcYyh5d90eOelk1kh1v+1wIBN0fx8sODtuLjfDyQEg2WC+b+dFDQcbLSmuwXpIRHdAeWLKcxo1NYHn59JUUcaKwx9rMqcZyk3g5SulalObwGPG25WXGWwPO7by8f4RjvMJbzuVG8/LMooTHkcn4rkQUENOGa7eLl21rnU7jLc1Y9MvLE4O8paq5WCFs0enW23Gy79lkb8vLmYCTNr1L1+FlmPEfDBn2j4ht4+XAy8+z7Oe8bJWXOlWl9oON8vL0gsrlwZVpwVUnXq5FGrsGOPYNcXiCwROtn7f5+BaOlx0cHBwcHBxuJlxQ9l2EoRLH40dCHBzjmK+T7BA3RpMwBlk91pitSjx3OsJcNc/9a1+wnphNWvq9vHQ+RmU97cMesOt4a5AkMs88XG5STxRb5SdtdiYArTS+cbqJs9fTLFt3NaKeN0VnWHv/MK2BFy+k+OCUv8bYjSRlyRYNg9AD/skjZYwN8MyZmaQay02TAVyArTThoEDjA/tpMb7SVFisKePMQ9ZT1AZdydCkk5GKAmGiEPD1TR85MMpmtVJSyw2NakPh66fivg2iRAFMa/hcZ4bsSqTx4vkIT59qZg72a6sSAWfZsTlrDUKv61bQaHFIp4p6H1kD2FagSNOTRWqFaqQReGSgjZRZFggn5ywgNTN9YMnQtnNTaY0z11IstpWRSgVImZ9pLdJYbCgs1TWGAo7AY6gZY18qoOQxDIQMnNP5cd6/JJN1dgP0mY/dHWJikPctIVpElCLLEA84cGJOIkp1NnYdHe6gMZscFvjo3SXsGxaQSiOSGgdGOHYPCNy1m0MB+M50hNVYoxIyPHEkxFJDt/TXZSg48BkZo5EEONfUa4tt4qIcHBxacKN5OdlCNSWQK00A9HysxcR/qaZg62qkMsm7zCfahZdjSYG24r5lG2ct1HVPXgbyhasCMF7h+McPlzEUMuJ4TRxTafOBaVCCzUZ5OUo0Sp7ptW2G3ue5fG72nGTUYzCRebLR372d4PmZeH1NPgPLy6GpzrLSki9diPHts00z3hqXllI0E2S9ZW0fwbBN+6aTlKTWeUBW6bz34UqkM262jmqtyZH7vZkI1abqyctlnxKlLi/LLGmOJC8peayZUP86i268fLWq8NY1idEK9a7Tmub/UIkc9oOhcQTzzs7tTujEy+MDvO/PF0G9nFt5OVVALdGQqvWcirc9EMDUhJfxMkBcCgDH9nkoBQyPHfHwjTMxolQhVsBjd3h4dU5lyXn2WsBspR6Nu+NlB4ftxUZ4+cRsklXWWrRz80vn45b+qEfH+Zbl5zvxcqKAc4sKi3UJWeBlBUAqjcW6xKWlFCsRPfctLyeFUr9bgZcB4I4xCixbLrK8rDRdbyA2x8vPTyc4dSXNFKDWuw8b4eVqQ8MXLAvUcUaVzEWbuVOibsbL2iRdy7W8XDzXm8XL7z8cGA6k+V8y7SwGQ+rJatsUbRQb5eX2e2Z5WSlb6ayw0KAEd6vK0gnbxcv2fisNE7jlRkJb487dwvGyg4ODg4ODQ1e4oOy7DEMlDsYYEiPLApCRNBxSn7pEkYH24KSfGZX7OgR4jowJTC+kiBIKjL09n+LS0tZ6ZlhDyjdyO0Mm2Ml0HoS0lRtWjmm5qXFtlapa7CLdGqjt+y5CcOC9+wSePRV3lNux0sU+J8PmJx8sIfA4PjTlZwZHYipil5trM5g77XN6IcVyU2cbF+WRrdPQ4/l11mKSi7T9b22FpDWwrXG81FD46htkGPZr5GuQNFItyf+OJXD6qsz6C0tteoumVHnpsby3rS5k7vaCdfy2b2cDscXzvbgk8VevR1iok7ET+gxRmgfT6RwZPAY0EjKCtdYYLXPsGeJYicgpSgFg3TFgAdB9sBnDC3UFqXUWSPc4cOdugQMjXtbXZyDoX5LJ3hNhjLNvnImwWFPr9q/rti87FxoSeN8hD3UjGdXNvqNqX4aHDnoQnOE9uwVSTffqO+dizFUlLi1rzCxILNQ0olRjpaHx9TMRFuv5/LGOD6VJ8qtm+jrFUmOprvHdczHUZlOiHRwcWnAjefncwtZ1XpWROAx9hgMjHD5nJOenC9KFLE8i6sbLK1HvZ4ZgwEP7vZ68LDXge1TZv3eI45P3hYhSQBovMmPEa+28DHR2Nq/Hy+QMpp5z9pnMGDnebFA0+2zh8xoknXilqjLljPWgQc/bppHGsLx85mpKPb9NoLhhZAiLvFwyMpIc+cK+vfonG8fi9SF/3tvzthW9Nng7vaBwva578nKcAsuFKlLGgB9+T4hmoRrJ550TCex9sLw8V5WYr8ksACk4MDnCcXTCg2Dk5G937q83ru28vNTeA6AP2Plg50E9JV6OUkrqUrp7ApfHGR4+6GfVR3uGaQV1uSrxnXMx4kTj66diNBKNlQhoJMA330qwVFf5vbH3yfxdjeB42cHhBqFfXp4a97LKWiDn5vEKRz3RJE/PkPHypaUUz5zael+UTrzMAQRcY6mhMw4V3LSLUcDVVY1qlD+/b1VeBoDvziQtss2qwEsw9ulGeRkAmonCqavphuyyjfByJaD+8dZX0UhMdan5bNRlSWbtelG43nZeLm57M3j5ezMxfJ6rXQWC4ScfKOPAiGdkpTcwqAbbycuWJwdDjmaidoSXgdY11HIEKEWKbo1E4+unIiw3dqDfgoODg4ODg8NtCReUfRdiatxrkWX5yQfKmBzxUPEZyj7DB48E2Dfi4fEjIQ6NCzxyyG8J8HgcOHNN4r69HjTIULH9RLYKayQIplHyWWbEJOZ1aJI4KgcsMwSLhopg/RWlHBwFXphJWzJEOyH0Gf7hgxV4nOO1yzHOXJMYKVEvVwBZVmYR1vhSAKbnU7x+mYzvY5M+DozwNZnGQG5wFZ1viSKnm9Ikr5NVtbQZPonK5Y37BYcxxEReXWOPbTNtBScDV4MyYoE8GA5N19ctOMjafh8MgLJP8ozZObDWBxA59vMeLqnUCEWeVWyNXMFZ5nis+AxXVygrXPA8gz0QrCXzNfBo3gN0H8YHeJY1rBT1fWIADo4KPLg/wCOHfNy9x8ORcY8y0Dfh52SMJKis3NZWECXAc2dicOQGbKd5p4yD5Q1jUJ9bkJCKKm6bKb231FBIZF4VmyjafxHtFVeJyivAFYCLy7nR7uDgsHXcyrysQc/hRGo0EoXBMO8xZ6tXtCZn9VZ4+dBYf7zsC4YP3VnCx+8p4QdzKU5dSRB61OPTPgc77cEmP22UlzmjJCbbeztOgaUmssEtOkztPpTGhpNxOIBBHxgOOUIvd0bbMeY85812Xq4Xetb2w8uA5WWGwcDID3bZliHv69qNlwHgyooCY8S/Wml8660IAacewpxRn+Gt8vKhcYGP3R1ma8V+YQPMYFTlYyunNoL2ORKlxMtSaQQFmc1OiFKNE5dzzlysEw9HKTJujtLWhCj7XbLHbHd4y8LxHC87OGw/+uHloRLPKmstN9djjRXTV2SoJPDwAT/j5dVYZ8/MraATLw+FFPy0wSjo/PncHpy0+1gPN4OXAeCxO/ysb2f7dQOkatTCy5ICYsX+stn6xHxGakp43sijf8d5ucQwWiY/g2AUpO20/c3g5TgFOCclqdESx8fvDbOA5t17PPhiY2MLmHm6jbwsNTCzIBFL9ORlBvruPHc6gtIanJEax6qpIO6Xl33eauNrkO/GJuM1U40XZraehOHg4ODg4ODwzoS3/iYO7zRY43F6gXrDckYLat8sxIdKPNvuwf25Nu/MokRodFjnqhLXViVWIp3J/G1GorUTrDFZjdZWfjKQ8RGlnRf+nbJtO+H8IjAQ6My46oZGovHiBQqGXVlR8IXGcJmjlkjK2GVUyWv3IRjJNq1EGokip/hSTeHpkw189O4QlbDVwrTH5ywPuMK8plXu1I3bZJbkRr29bagEwEDIMDEgMFdVkEplFZVguRHKGEM9oWsBTGWtMUKV6jze1gFf7E+qGcPH7grwzTMxGimN+6BPhotFyWPwOJBwjeGA4UNHA3z3PDkYPcHw+FSAt69JzFUlxiocQwHHgsmqTSTDYMDIOeqxzFC8a7fAfF3iA4fJcaK0xvPTES4vU88YrSlYXIvpJq5GCrVIY6jE8dCBAFJpLNQlFkwVqeAkE9Veid0OkhZktN9tABn6dPxOY+4Z6aTEVAnXY5IqqzXJ8asUwEzvKTvpGGs1JG1PKGbOfzAAVs11+gIYCLhxNlAvZWu0Ozg4bB03jJetp3CLWInpmXF9FWBMd0wMWW50VmvYKV5uJJ0jYp5JQLIS+hvl5VWzFmFo5eWiFDOALAi+2eGuBEAppP5lL19I8Na1tIWXtabrKPsMjQ68DEbP+U7rg3Ze5kVefivGQEh96pUyjlHzudAkbkUp9UjrxcsjZYahQGS8HKfUX3g4XJ+XXzof4/pqStU+SmMg5GgaZYilhsx42c79Jw4H+PqZOONlX5A8ZjdoIOtD22nubhaWlzvt0OO5IojSFDR9YL/GKxcTNCKFWkKf9VieeFhcRmvQdSWF9V/Jy/sNcgYMlZhJqnK87OCw3eiXl+229vk0vZAgSckOWKgpfP1U1MLLjS22FbBo52X7fC+qITSTjScIFXFxCRB8/SfmdvByranx/ZkIvnmMlX0giTp8mLXxcjH42naq7UG+ftcjFjvNy1IDH7mTeLnE1/Kyxs3l5VpE6h+MKTRiYKgEcMbw0IEAuyushZeHQ4bFRu8Bt/dsO3k5Vd173FpFMm3m3VJd4eULCR4+6KPWVDTemrg37YOXEwWMlhm1AAIdd9DwcqKo/cXjh4O1J+Lg4ODg4ODgABeUfdei3bHLGWv5uxOOTfpIUmR9c1Yi1WJkbNTQ6YV22T2GPMs0Vq0L7c04QZXO++D0glTA6aspQo8h9IDVhgZvyswZ277gZwAeP+Lj7XmJ6XmJQGhcXiGZm79+s4mREltjHLPCfjIDE1szotdDLQYe3C+wElOGdaqNA9pYfBKU4VvxFTgzUpWMjJnBkGOxobqOeVFiirJzKVv1hZkEiZkkGhTwa5Vayvu6+oKB89wZcmRM4NyixEMHPfhzwGEj0ymarYZuOaCMX8EZVpoKL8xQT8W3rkk8fJDjuzMxzs7LzEhXkuSm7C4W6hpn5xM8dCBEtSHxnekYGgwDAckEBgIQjEG09SxuhwYZ0iRxtqlb1BHdjHoFZBdR8UkKen61TtVc2lQ1q1aHRXHutvRfBhmbQyVAgwLdlYB6KY9VGHYPCdw54bc4oxwcHLaOG8LL2/j86eT0tHylW1/eMV62yS/zdZn1IO2036GQKpYuLatN83JWbdkDW1kGES9zvDGbIE5VVqVb7F1Gv+s1vDwUcqxEKgvYtcM+49t5+bszCXxOsnzUO6/1Gq3j8Uby8isXE5ydT7NzjyUgGyqrRlmoA29eifGBwyWsNBXOzidIJDmjLS/7nCFC7xYONji6lcB5J9hrba8uBlqTneqRxtNvNlCNNFJTZS4VVSYV51oRLb0ezXhUAoY41RgIGTzGUKnA8bKDww3CjeDlbtLym0E7LzNGzp1OlbGbge0zvh62ystlH1hoKKw0NQQHDoxw1Lsk2hQDrVlQdlNXtz4cL9P2/fLyUEi8DJgAsrc2ga0dxcDndt1HVRhbC/u7x+l6LFteXEowvZAgSvJ7IlX/vFxPNO7eIzA9L1EOiJdFQNv9yF0hhsvbUBrv4ODg4ODg8I6EC8o69IWVpsL0QooHD3hYqMtMZuZGGUFFCE5GRbWpsFTXWWaqMvI8I2WOqyvdg4TbAc40alEuW9MNqQa+dyHBx+8pIfASXFqUWDUSVgt1jYVa64eLQVjBWiVxthtFR6QG8PxMCoaCAdJ24EiSkVgxUtFKawyWWFfrt/38NUjWp+xRVrhKVGtPnLZ9xDKvTlpqaLx9PQHnDHsGOF6YiRGnQJICDx/08fKFGGfnU0hFFb/CROzjFHjlYoJHDvlZLxypNc7Op1ioS8pkbTuHosGmNBmP35+JcH4xRSPNq1g0KOM85r0DshbbmaTQDVbKuDiHqIpXo5m03qYNnQ6ja+XQUKakVmpgqa6Rmh5aSmucmE3WVAs4ODjsDG4mLzOQs23/iMCFRdni7BMcGCkzLNT673O+GXgmOaaZ9E5+IeUNhn0jDPfs9frm5TWvbXc0D2t5+YWZFB4v9J1r50kFsIR4r8jLEwMc9bZBYMiDgsXrKPJyoDVShay6p523pAZkSvf0RvFynLY6/TXa1hIauF5T+P5MhIW6xHKTqnYS4zSNUiBm/c21G3Ufs30X/lYqf0HBnGeqWxIYNNZ3WBf3rxT1jPQFgwApYjhednC4dXDTeVkAB0YElpsKi/W8tyxnvVWOtgub5eU40ZhekBRMVtQztZuUbfERfiMSmB0vb46Xtc7PV2ug2tR9qahp0NyE7hzA3wrs7uxpKEX+I6sWRby8NrGw3++IBvWmbcYague8HBmuf3MuxfuPMPxgLnW87ODg4ODg4LAGTOvtXv44bAXVahUjIyNYXl7G8PDwTT2XlabCqSsJFDSWGhpRrNAs9PtI5fbKzXTDWBkIPI7FukKqSPY2Urkjy0oM3ghY40kjz1TtdSiPAz/+3hJGTFZkqhT++s0ISw21Rp6nPSt0u7NE21H2aczsWPVTxSmMPB5njKRzlcZyk6SU2s+13c8pGLL+MqkJ8HqcfvcEg9Y6N3ALn7fO/qGQQWmGSGp4jHrJSqWRapKwtg5ZzqiCU6nc8ts7xOF7QC3SmDFGPgNV1qxGrUHVYmBzrAJwzmkbIz+9WeeFzXy+UXPTHqPXPdgsQo/uk3VgB0aqyQZeKgGwf8TDQk0h8IDHj4Q3xNC8lZ6HDu9e3Erz8FbgZQaq7hsqMdQiSgDhjDimHt8YJ2n78W0/tMAj52O8zkHv2uXhsakAnLEN8bJ9bad4edAnlYpel8NAQe8iL1eb1CNOSlK6sGjn+XZeFhw4ts/Dq5fTjH+79Sy/kbzcTHVLcFIUuLPkAYMl4mWtSYFiZQst2m7kmrGI7Z43nBXWSY6XHd7luJXmoQ3E7q4wHJ9J4DFS/vEFVYxaudQb+djhoMDWcAnwRW4zl43k+Y1OFN0qLyut8dKFGGevSwpG9mEz30hejgvP1gEPaMreYygYEHgMgUf9W3vxciBa+5wKRvdtJaJ5crvy8uoG+/UWYWWFbzQ3b/e88Tjdr8T4OWwQ2lbTCgYMVxiYZo6XHd7xcPPQwcHBgbCR56FL13LoiJWmwrfPRjhzLcVb1yQWaworMUnpRCn9MLb+frYDiw3g2qrKes2uxGTgWKy3gB8JyAm5UVgDEzajso/r/eG7giwgCwAe53jynpAW6Sx3qlmndrGsoj1LcyvIzr3wt8fz18o+sH94/a+/NJmuwyHDxAD1hrE90ux+LYrnbp2eTTNX7IaJsfbK/lqnd9HhKFVu0ASCHM+1WGE10mgkFBTWJkLucZIUHq/Q9XAOXKtJXFxUWDYyy8rIb1WbmvoAF8+fkUEVeADAIRX1BgK2ZhzuhON3vcBBtzvM0To/2pHK/H3ffAmKDoEoJYlkgDKMpxe2qUGWg4NDV9wqvKxB3/uFmkYjyWVho7T/gOx28DLJMzKqsOiBkg984Ag5foH1ebl9fzvJy3uHxdoy3TZoEJcprTEUAosNqqqJJdZ8thiQbedlxoDQY3h9Ls3eH2hT5dwpXpaKZBvtuGT3hREfW15WOu91vhlY5/ZOoNthBKdr7XSbe1UVFWVKHS87ONwaWGkqPH8uwrn5FN98O0Y91lhuUnLNclN3le/dbiiYHpkN4NpKbjM3kv6PH3Bg18DGXUPbwcucMTxyMMBohWX9Wu16xuMUfGy3mbcDHqfq4iICwVDxYc4LEIL1tJksmolGLdIoC92Tl4sBWYDeX27mPUx9cXvy8mbvCTPXsRPcvB4vd3yvx72XKl8/Aq2BZQ3yo9QjesHxsoODg4ODg0M7XFDWoSOmF1KsRjqTEYrl2p4yUvUO7Gwnigt1DawxcBjIqAraDKvREBAegyosmvs95cwAAVWbDIe9tw8EMLukoArWb6oUnjkVrZEp0iAjSrDu5+Nv8NvJzDkMBsDRCd7y5dagCiZ7DxsJcHFZ9SUrpDQwtyJxpaparJlOho0d3/Z5YbONtckWXzLGastnC8aezbYGgIkKhycYZS2bz1s5YRinciIBT9iqZg2pKOt6od4aRNagMdCFYzLk+1VKwTPOUrHFyb0T8sVFdAvIdppGNvO6G6QmJ8CuAY5KwFD2aG7Ze+NxlgWu9w0LHJv0t34BDg4OPVHkZa278/JO0LJGq6O3U1LRTvBy2aOKjW6fFwwoC5Lps9y8Hi8zdHbC8Q2cZ/F8i7xc3G8nXj63IDOHa699Kg0sNzQuLas1kvydzrvT9UgFpEYRAqDzqHdwrG6Vl30PGA4ZViNAaUW8rNfysq2qYsh5SwNYjTQE19vCyztMy2sgGKmudEqesPe1/S37tzafLwdwvOzgcIvASr9Gad5ntP05s51Jt+tB6dbkKI3Oz5v2R6lgwMFxjtVI3RReVlrj5Ysxluq0xrGVskBut3Xj5Y3Sgt2PL4BP3Rdi71DrDlYijVXT355klvW6dpNNkEkVcGllbaucIizHWR+AbgvkRem7j5dvJjdzM3eLSdsW/fCyUsBomSEQDEMho2Q7bhQtPKBior2Olx0cHBwcHBzacVsGZX//938fU1NTKJVKePTRR/G3f/u3Pbf/1re+hUcffRSlUglHjx7Fl770pTXbfPnLX8b999+PMAxx//334ytf+UrL+7/1W7+F97///RgaGsKePXvwD/7BP8CpU6datvnZn/1ZMMZafh5//PGtX/AOYW45xVd/UMcrFyPcv8/D4XGqGuwm2VuUabnRaJ+oUudGiGDAXbs4xiqtJ8MZGROLBUOj04K7COuMZaDKWJ8zTAxyHJkQqCfdjQbbH2Z6QeLEbJK9/txpI5FoUPy80q0BwiIqPnBojPdtEAsAR3cJ3LfPw5P3lnFsf4C0bccde9J0MDQ6oZmSA7iTo8FiwDcVxegcsLcGqr0X1gAlgw4YK/PMuEy16avjkQNyuaFbslCtAWcDE+MDHNdWJZYaCisNenclajUwO6FkbSOzn0gBjx8JEHjUs+52hv3e2tlXvB/F8bcQjO6DxUoEfOAOz2Sns2wbzsghzED35+GDfpbp7uDgsP04ey3Bn79ax917OKYmBDzWo//4Dn4V2w9V5BMG4PAYu6G8PDXhQWpgOer9nG9Khrlqzs398HKnpBpfmGqdPsEAlAOGo7sEnry3jCeOljrycPvf7YH2dhQ/0t6PtP20BwN6ThedvkVnYjOh67LnkRbvIQPGK2xLvLxYl2gmGrNVCa01lpq5s7g4TkUwDgSGm61TeThk7whelprmcGTbA6D1frQ7py3PWiQKeMzxsoPDTYe1maXS2DvEUfJ78DJ21uHSnpSLAsf6nFQZvMLjgQEYLQPnFxSaaf6ZXrG2XrwMxlDdIC+fmE0wPS+zPqrtn43SztzIGCV/9au8wUDy/7sHOX78/hLGBjxcb+sr30kquJu9blF8T6ru7wHAwRFgrMKzAL5us8VT5Xh5J6E0BVHjDve4H16OFfDQfoHRMvn+7DYeAwYC7njZwcHBwcHBoStuu6Dsn/3Zn+Hzn/88fv3Xfx0vv/wyPvzhD+NTn/oUzp8/33H76elp/NiP/Rg+/OEP4+WXX8av/dqv4Zd+6Zfw5S9/Odvm+PHj+PSnP43PfOYzePXVV/GZz3wGP/MzP4MXXngh2+Zb3/oWfuEXfgHPP/88nnnmGaRpik984hOo1Wotx/vRH/1RzM7OZj9f/epXb8xAbDPmllN840yE66sab8yleOl8givVdn2dVii9fk/S7YCtBCii6GBUGriwrFGPWqsvlcaaQOpYpbekkg1iCU7HrQQMSQpcXZGZPFAn2H5BgyEwNZ6v1N8z4QHmvdEyx7171//KMUbG5+Vl3bLo7wXKWlV4YH+AoRLHuYV0TXVSr8+ue059bNdM8400Ojubu9ltAwEwXGZgzFR6aTKyo0TjrWspZVIzdKwgEkyjHAA108sw1UC1UyVuh+NqhaySljFgcpDj7euSKnlvbxuzBT4HRkqsZ0BB6lZCkBr42skYUQrUIoUozeWl6rHOJEyLme4ODg7bi7PXEvzddIzVSOMvX49w7x6xVvquAK1vfE9XgJ4nnXjZPgk0gPNLGqvNG8fLidSoxbqnNKPSQMCJSy03b5aXU0VrHpuM1o9rTSmN0GNZD7HRch8fQn+83M82DZMjZm9Bu3NRo3tglwMY8LfGy4lkJK0tTZ/yDie9xgmqgCjOq1M4AxabOuPl296nWbiuQNj+wF03hWr7Qv/N2dTxsoPDTUTRZv7BXAqptUkI7Y6d4GXGTIVq2/OkqBiUKNN7vvC+BrBQbw16rhfo7MbLjAGJVD2laGUHXt4zwClBS5PNMlZen2OZSVBryrXPyV6oxxr7RziGywJKE1ftJK7VAK1VV14GHC/vNFKZq6EEgipfHS87ODg4ODg43GjcdkHZ3/3d38XP//zP47Of/Szuu+8+PPXUUzh06BD+4A/+oOP2X/rSl3DHHXfgqaeewn333YfPfvaz+Lmf+zn8zu/8TrbNU089hSeffBJf/OIXce+99+KLX/wiPvaxj+Gpp57Ktvna176Gn/3Zn8V73/tePPTQQ/hf/+t/4fz583jxxRdbjheGIfbt25f9jI+P35Bx2ChWmgqvXY5bZIJeuxxjpUmrytdmkywIJRVw6mqKxcb6+21fWm73mtzj3atWiufQTDRW4t79SBgoWNe+Hm43XASjqk9fMCilIZVGtbm+A1Rp4OH9PqYXUqw0FVaaCm/PpxgIGMo+8PF7AgC8a2BMMLpej1GlrDQX44v1K5IVgPmaxssXEkilkUjqz7NdX3DB179+uclggAb10jl3XWbBBsrY1agnmrKjJRmeYEYSyJ4XAzzBkErgyDiHzxm07jJfOhioTWmqtBgwVmYIfI6z8ylCj453u5tOgwEwGDJ8+D0+EgXsHyIj0/ZSbDei2wPZqaJnh5Wvsk4YqahXEYCWTHcHB4f+sR4vA8Arl5PsOdRMgD9/Ldrwc+lG8HIt1i2V9Z2gNLCa3DhePrcg11SktEMD8DxSYgCwKV4WjJzEFZ8Wzdqc33o982zAsxbR+b58IaFjbaKXbiesJ3MMGIf1JluYSQ3MLKkt8fLeIY6yz7Lq7k4oVosCxkFt+ElwYKjE0Ih1zsu3OTEPhgy7BhmOjHN4Ahgvt/Y1drzs4HBzsXGbWW44kfNGxbCSdWxmgJ4h7c+V9o/YXqXF8yxK5QLEh4MBw1iZoZFoxKnC9LxEo4++3+28/PpskiWp3LVHYM+Q15WXQ0HBZ8/YzQI5L6+3LunEy1pzlDaggtEL7XzWCc0UWOjDx9IJjpdvDAZDhvEBhqkJDt/xsoODg4ODg8MOYZuWoDuDOI7x4osv4t/9u3/X8vonPvEJfOc73+n4mePHj+MTn/hEy2uf/OQn8Yd/+IdIkgS+7+P48eP4lV/5lTXbFIOy7VheXgaANUHXb37zm9izZw9GR0fxwz/8w/hP/+k/Yc+ePV33E0URoijK/q5Wq1233SzmllN851yMgANJCjx4wMPXT0WIU40rVYnHj4T4wGEfT78ZZc67za6tt3tNvp6M30aOq0GGRMUDahEtlgNBPVZWInIKc1AvnFgxlDygmWokKSBBTtlelcGBAF66mABguFKVGCtzxCk5kX0w/M1bVHVoF/jt5zwUAqHPUfYYlpoKPjTuGPNwcJTj+XMJ4lS3VEi170MDuLScYqEuEadAydebdsa2o9/7sFkw0Bjb3zkH6mmekSsEnUNRvkmbzNxmonFxMUUzJUmuKG0dF7s/n9NnpELmPGGaJJnKHsluXVmRSKWG1gzDZYZqc23F7e0CBjL8n7zXx/HpBKumR5IvTJDEzPeiPDkrTCqP50alz3MZLJ9TBvFQSWChploy3R0c3gm4VXgZAKbGOc5ck1t6lt8sXu4HW+ZlgZ6VwwyAVAxXVhQWG1HfvGy5hgPwPYYnjvo4v6BwfjFFKBge2u/h1cvpGl5ec3wGzCxIVJtNqlbSClFvEZK+sZOKgVvh5UoHWU/7mdBIK1vpxKIEdiAAzhkYdFbNsxVetnx3M8FAlTN/72iA49MJajFwdkHDFzS+yvGyg0NH7AQvrzQVTl1JsFCXSCRDnGj4gqEeayzUFa5UJR6Y9LFnkCNKFJYat469DLQ+Q3vtv59jd+LlSkA9Z61ylCeAiQGOalNDSoWmAjjTCASQ9lizcFCf1MtVicWGynhZmMjX9VWNyBhq7YFBe53DJYaJAYFmSjK8pS3xsu6phrUR7GRssh9e5izvM2x5WWpKbmuXZL4ZvHwroMjLL8ykaLTxMpCPr+NlB4ccO8HLDg4ODu903FYrg+vXr0NKib1797a8vnfvXszNzXX8zNzcXMft0zTF9evXMTk52XWbbvvUWuMLX/gCPvShD+HYsWPZ65/61KfwT/7JP8Hhw4cxPT2N3/iN38BHP/pRvPjiiwjDsOO+fuu3fgv/4T/8h3WvfbNYaSp851yMRqKRcmB2OcW5hQTNNC+TPnk1wVJdoRwwROnavqGA6RvDWiWQdhLrGZj9Qmsy+gKPrrPsczQSnfW0E4ykFcHyyh1pPpfo3OnY6fwSCSw2NIZCDaQcnqBKolhqCMYQp0A9Vl2d6ysREEkFFXLEUiPgDIIx7B3yMDmkcHEpzYwrDspY5cbQspnLUQo0TeS4XfqoGzwzEW62MRWK3ABkoCrPZsogjeE4EDA0E03GpbkHiZGTtGPayQgXyDOnR8oMSw2dRYAV6CEolcbZ6xJakUELaBrT2zjzV4PG5mtvxi3O+1Tm81ii4FBHIRNYU7DDFwyxeSYMhsDBUQ+MAUcnfAyEDCdmE0yNe5k0p4PDOwG3Ei/HKXDHmMCZa3Jtv1CfnHFF2eCdxHYFubbCy7HMnY4d9w2g2tw4L5tCE6Qa8KDx2qUUWitwxjA5JHBkwsfVFY2LyxKjvsZqTHJ22vBG0XmsGLBQV/B47wByEZ5JJGpsU2LVZhGIvD3DdvOyZrRumhggnllq0nuWlwGgkWg0YiujuTVeVti+teRm4XjZwWFz2Alefv5chKWGhtYaFR84O59magwDAUMjBr5zLkYoyDZbaaZdK2RFjyrEGw1vnSTiftCJlxkAwRkSpeGbx8uFJdkStFOaeKsXL1PiDpCYwds92L+9zEDXthprgKkt83LFZ1iNdd9JTqFHUrQ3k0esT2Y9XtbIE6K0Jk6mMe189jeDl28FFHm5uJ5OJH2X7BrIwvGygwPhRvOyg4ODw7sBt+XKgLVpiGit17y23vbtr29kn7/4i7+I1157Df/7f//vltc//elP48d//Mdx7Ngx/MRP/AT+3//7fzh9+jT+7//9v13P7Ytf/CKWl5eznwsXLnTddjOYXkgRCAafMyQKWIny6kkFIPAYAkHB2OVG54AsQAtSj9+8niGcbc9kTRUZE5EEtKaLGSmR85MzcsAqANDUayWTejXoJs+jzY/S1Nt0zxBHqhiiVGGlqZFqDanXVroWZaBsQHI1okpNwRnmqhLPnW5ioa6ywfc4VXcKlhsOSlsDmOSLmhswGKWinq7rST7dSDAGDIQcAwHLnLuNhCEQZBTRuGpMjvANz8EUZECnipzz7Q7iVFEAWym699aRkaR4R/SVbXc02Hlq554uvA6VZ1TXE2RJGokCVppAI0bWt5gzhgfN7w4O7yTcKrwcp4DSqmNAFiBpYODm+cIY691zrl9slZfXc6Zulpctr1tersUMFZ9hoa4yXq74DJFk8DgQeGvXKRrELZZn+r1ZqQJKPjAU3qRFl8FgyG4YL1uuqTY1VqK298142TYC9h4l6dYCHbcKpTtednDYGHaCl+MUKPukm7ASaSTGLlAg7rHcrKFx+lr3gCzDzQvIClBQbqvoxMuBR6oVNolWWqlkbaoz2+zSbrCBQqmJ528GL2tjc69E/QdkAeK+weDGyU/3g+Fyf7wciI1x3s3i5VsFtsK1iE4J646XHRwIN5qXHRwcHN4NuK0qZXft2gUhxJoK1qtXr66pdLXYt29fx+09z8PExETPbTrt89/8m3+Dv/zLv8Tf/M3f4ODBgz3Pd3JyEocPH8aZM2e6bhOGYdcq2u3AsUkfSQrMViVWmrqlqqXkAR+7J4TgDG9dS3oaJRq0EOc3yQopnhsvVO1uFNYIVApoKg0GjQ/dW8KpqzFOX1UmCzgPzClNfeyWo157zWElEBcbCo1YYaVJC/ZaRBJYuu06wHLjhjOg5DPsHyEr6soKnURsnPWhoD6xgmk0UpOFXRgDpcig2qhdpEEOa45cQrjf69yu4lqlgeWGyg16TRKVsWzNbF6oKQyFDMsNve6x22WGPJ73R2ofI/u3rQpK1Nrqnts8EbgFHGZMUJByBlUJy8J1xzIPfigAF5clBmYTPLg/2NkTdnDYQdwqvJxK4M0rqudzp11SbaehzcnbtcFmJHUZM4kxINWCwUBjz7CHii8xvaBvaV4GgIMjAotNiVqTqnt5l/XJRodmqQEMl/uvSDaxhC1XSBWxWNd5T/lt4GVgrUx0e99C+zqQK4FwlvOybtvuVuflfs/R8bKDQ3fsFC/PVSUqAcNKM//W+pwShX7k7hCvXUpx6ur6NvNNA6NgpX3uFAr6NrabDry8e8hDralQXaT9lz1S67CVsra3a7/Hov6kDJeW0hvCyyuxQiOi/qudlK5sEG4jPGIrgfutRr4RvLzUJy+XPKqe7adlwruNl/uF5eXiBTlednAg3GhednBwcHg34LZK2QqCAI8++iieeeaZltefeeYZfPCDH+z4mSeeeGLN9k8//TTe9773wff9ntsU96m1xi/+4i/iz//8z/Hcc89hampq3fOdn5/HhQsXMDk52df13QhwxvDgAQ9R2uos4wBCwfDaJbJgnjjcumj0eGslCkDGF2eti/SditFyU5HjceCuXXzNufUNTYaGXVs3UuD42SbOLaisH0gxK7KZ9u/4NbuHAhlMtbggl6fJqC2Cmepfzum6hkuUge0J4KGDPgKP5l090ZBKoxwwPHbERyPNHd/FKiW5EUu4DanamMEYettvcEmd98HplGktOBB4lHE6GOaylp2mguD0U/KA8QrD0QmBks8yI9J+zv5vj2nvH7DWeLfb3e7wGFVaBwI4NMazaxIcODLGM0kygOblUInD5yxzSrl+OA4OW0O/vPzwQR8Dfutndw+2crMwXH2zEqYOjTNUAiDY5GqSA4BuDTou1IGZaymmF/Qtz8uBB9w36YGBqp47rZ102+/93isN9B3oBADPY13VPDYLje3jZZscFXrAnbsEdg0wDAbEy5oh4x4rzZhxE2t1Nref362Ofs7R8nLJA953R86xggMfu9tvmVOOlx0cth+cMTxsnvH1OH/ucgAVnyGRxM0PHvAwUmp9wlV8YLSU/20DlDeLlys+EPr07PQ4Nmy8dOPl89dTzCwopEb9oZ5QQrDZHEmHSsNeYAxYatwYXv7AkQAPTHqopzmfFIehWBW5EV4GNmYzex7bdiWqfnmZMYaSn/tPNsPLgcjHjrVxu+Xj25GX+4HlZZ8DI4W4k+NlBwcHBwcHh+3Cbbda+MIXvoDPfOYzeN/73ocnnngC//2//3ecP38en/vc5wCQjMKlS5fwJ3/yJwCAz33uc/i93/s9fOELX8C/+lf/CsePH8cf/uEftkgP//Iv/zL+/t//+/jt3/5t/NRP/RT+4i/+As8++yy+/e1vZ9v8wi/8Av70T/8Uf/EXf4GhoaGssnZkZATlchmrq6v4zd/8Tfz0T/80Jicnce7cOfzar/0adu3ahX/4D//hDo5QK5TW+PqpCM2CxpKtuqgnGrPLKTyhUY9pkSnNIl/pPDPQLjoTRQ6jRpo7SHdq4a21Ob8UuLKiNy2j3Cluea2+dputQGnqi+MXerF5xtlmpZ4Y8gxTwYDhEofSGot1hWpT4eIiRY7rCclnpSYb84VzeXa2lSnaznPvBz6nfimDIcP12vYfsdMeGYCyT1JaHBo1I9vZTS5JKTLeBQc+eV8JnDE8fbIBwQGmgFjln/dYXpXSq9/fNiY5t4Cku3buuyQ1BVCSFLiwRH0OrUPi7ILKngEAjV8j0RgqMYwPcAgwDBg5TaX/f/b+PE6yu673x5+fz1mqqvfumcz0TGaSmYTsQ8hCSMIa9igKXFl/XCKyCeK9XLavqOhV0S8I14vLRUAFERUF7w9R8IfcsAheTUKQrBOyZ/Z0z9Z7d1Wd7fP743NOVXV1VfWprbu6+/N8PGbp6lNnq1Pndd67MjNyDIYWaEaXC0HZ8SaFdoxaUmfo5xytKZlYl1upUm0XRwqU0jpVXU2QBsXK+3gEzHorl2uHburyHYc8PXaA2rpca186jSOh31Xg9q4uo7ST15LwjPPdki57YR1djt/WyQqjtKyHLmctfdw/Oh7ooIiAPhv+9XG/5PQWlEdN2BbsGJBkbWl02WBok0gp7jnuM5NX+FU36SVfz5idmA04vaBnqFbOjA0jEI4WQBEnfubWSZfD2F4WsT4pmuuElLynli7PVCVDhao13S+9P9LB1G7o8j3Hfc4uhcvOf6Pd7KYuW1LizUcdtyPr6XJ/RhBFOkjt1ekQVbmSerosldblWklRpfO1hte3Hfup1lqXXQvm42dSyeq6fO6IxfkjNoemAg7scpBCGG02GAwGg8FQkw0XlH3d617H2bNn+fCHP8zExAQHDhzgG9/4Bueffz4AExMTHD16tLT8/v37+cY3vsF73/te/viP/5jdu3fzR3/0R7zqVa8qLfPMZz6TL33pS/zar/0av/7rv86FF17Il7/8Za6//vrSMp/+9KcBuOmmm5btz+c//3l+7ud+DsuyuP/++/nLv/xLZmZm2LVrF89//vP58pe/zODgYBfPSGMOTvh4oSo5fLO2IGMLljxtdHqRDs4cn9FWTOnBXZUfuEuGmdBZseuRARmh2xJFwEyh9T1od9+TOTq1Zow4cSsjFRuRWVv/3w+1kbgQaqNYAI6tz3ti+BZ8hUJnZgchFPMKW8QtgqiYZyRVPDu2PUO4HfwIFmLDfCgrmGvj80iLQrdYFqhUc2sU+hwVAvj2w0WGM4KZJRW34Vq+7HrPjfWjOEO7wsnTzV0SlJ3cSVa6ojxTN6F0/UaK6SXFQhFytuDuYz4XnmNxxyGPIFScnAu5/nyXw9OhMTYNhhQ0o8uV30kV63LiXC3GFSBL/vrMew8VHJ2O4plztHTj6sS9br11WQpFzoUg39oIgU5gdLmzrJcuJ+dIiPKsumRuXbJgzonvFaHi8JRi0I0QQhhdNhja4OCEz+RcSMYuB/YsKehz9fctH+jAS4TSbX0rbgjFEIpL+gUVa/R66TLolsLeGupyPXPUlo11GfR57IYuT86FnDMomC9ozVlfXVYM5wTT+bXZi7yn5+SmSaBvpMvRGgZA05BUBycdObqty8k1VwzLPpdVdTlSHJ0KObsQopRksaDocwV+qDg5HzE5GzDWZ3HJTsfossFgMBgMBoRSnW52ZmiHubk5hoeHmZ2dZWhoqO31zRci7jhcJO8rXEvwwkv0PJyJuRAvVDxzn0t/RnL74SLTSxHeKobLOsUB15TEhlYsz4QGGMkKRnOKQ9PlZV1LGwqVyyXt92oZo7W2l7F125v5giKIeyqppO0U8fwcCzKOoM+GY3M6OLva59UtrDgT3O+ywSZZXt2c5vqrbLGUzBAqzaqlnI3dawy42hHtBw0qjTpA0s4siPS5kKL29pJWVxFl51PWFmQsnZEeKu1Y6XMEtiUII3BtuGFfpmOGZqfvhwZDK/SyLqedN9ot1uqZoBO6nIxfqGxb2Gh7zejycFZwdEZ/VmnW3w2MLneeNdVlq5x4IYQOUFQj4+svVMsrywZcYXTZsKXoli57AYz1S51oE8LJuQjHhtE+yd5hi/snfPK+YqGo6tp4yT1xs9vMmbjCNekqUHm8An3/XPDKr1lCt9ItJXJRbk3cCV2WQpCxdNB8KAvb+m12DQq+F1c1rsez0lrrMlD6INJsT25AXXYlEHeM6aYuC2AoJ7AFzBdUqZtHNZW6DPq8WULr8qKnX7RiXV7yFUIIRnLC6LJh02GuQ4PBYNA0cz80KVobnPlCxH1PekTxU3OkFPc96TFf0E+Og1nJDfsy7Ntm85LLsjiW5Oq9DueNWbz4kizjwzqD/sZ9GUb69KzWRhdFDz6br0oricqJ47fy/QI9Z+jYbHlm2kgOBjKSgYqRvEkbm9UCsoJ4Ro6A4ZzgWftdLj7HwrX1LCCBdgQmTt58qLNfj8wogrCcyb0ehKrzBqao+FN6TS7/feUM3VpYQs+QfdnlGQYzotSK145nwkRRbxqYoB0XxS5UoleeT91KS5B1RckBUs+gVUq3qHakdrz0OTogW6wwgv0Q5r3YMYKu3Lv9cLF0/zEYtiqNtLklXa4jZOv9TVur22kSBGxWl5PlZJwotZrjt3L5al3OuXobXqzLSgFSz8R79HREwe/4YTdFr+py1oY+F55/oWN0OaamLjtCJxJEtQOyEFeVOfo9UsTvdYwuGwxpSKPLe8csrt/nctW5Ga7Z67J3zOLGfRmuOy/D+LDNDfsyZB3BoKvbjddCVf27WSlVUoqVs9Qtoe+fECcwOTCcFWRtgawMyKbQ5YRGuuyH4Plx4EzATB4eOx3w/Sf8mqOL1oq11mWFbjs8lF35vup1ZOyNqcteVPaNdJLK50optA1sC4EXNh6jUKnLoO3lfaMWxTBObEZfn0mnt5wjjC4bDAaDwWAATFB2Q5Nk9R6bCrn7mE8YKe4+5nNsKuSOige9wazkyt16TgjoTNIrd7vLsvP6M4JtfTJuzbS5aPaZvTJDVAo9mzR5vbKlniVh76jN+JAFQpSNJFH74b2W7S4EuLZgKGuRcwUn5iKKPix5cSVjvN1iAAUfZovldj3dbtuzGs225ao22KspZVJX3JWSloYSff4azXyF+JwonSXthXrGnxA6qLiW8+FaRRFXyXRofULo83lOv+DSnRYvuyLL3lGboq9WPReh0u2sRnKCS3Y4vPCSDDlXkLNjwzOu1ImUvl6Tc+35atn9x2DYaqTR5mZ1uVedY2tNK7pcqT2rncak2kcIlutyAHlfO9YSB28xgOklfZ9MtNro8koKgXYS3zcZUAyMLoM+/lq6nCY4seRpp2/OEbz0sgx9GWl02WBYhU7p8mBW8oKLMwgpulqltxHwVXk0QPWpSM5NEni9+BybXcP2sgSryg4Yq7GaLiejHfKetpeLoQ7eBT0QXFxrXUbAXGH1dfgB3P2kvyF1GcrPa50i0eVLdlq8/ECW80ZtQqVY9Fa3mSt1+YWXZLh+f4bh7HJdrrwOjS4bDAaDwWAAE5Td0ByaCvAC/f/JuZDvPlJgck57x7xA/z5htYragxM+J+ciZL1ynC2IAs4bZZllopRu4arQ2aRLRYUl9WyvxNCs1+6n1gN9FAcRJ+dCvnxXnqnFaN1aHzZLsxmqaZwXjqWrPiqvQkU50zQN03m490mv5ET1oziYvQVtniRRYCgrycQ9Ny1LpToXttRZ1H4o8CPFY6f0/UYIQZ8jytd7pOfOLhQjVKTbMlXffwyGrURabTa63Dyt6HLS6jWtBiTrqdRl4verquV6jV7V5QVft//zo7IuzxXTjXjYjNTSZSuFRSbQ1TtCCFxLcPthn2LcDtHossFQn07pMsCPJwPy69wZoVdI9HU4s7yjh0JXBEJndfnUQsj/9+48Zyt0uXq5allbz0pZaF6X0yQBNdLltMlhETCbx+hyjAC2D1hcssPh8HTIBdskS/F83tXel+hyxhI8djrg7mMefrhcl5NkPqPLBoPBYDAYEuxOrsz3fSYmJjjvvPM6uVpDHQ7scvADlhmVCeNDFgd2OcDyOTl+AFftcbjziMfxmZDJuZAb92U4f9TisdMBYaQ2xQycTh3D42eX/6yAQqCw4mzSI9P63DebBSuFdiSXqmCDjX7GW2fZTEQFri2x/ahhq6BGuJYOHCpUzzvQ69GpfU0cH4emQlwr5LFTfmmWbCMyNgxnZcnZceisvs77HKErkUNVCvgmiQigZ832ObBr2C7dfwyGrUYabW5WlzcD66HLzWyvcv+qdTlUZd3eCnRal6UAS2pdThy+G+1UdnJ/a+lyEK3+HRlwdaDDCyDvK7xQz6XO2UaXDYZGdEqX+zOCgq+I1OrVcxuBTunydI3KTC9sX5crSbogJfe2UJXnx28mba53KLV02Q0iii2OMxLo8QKBwugy+tw+fibg2EyILeGBJ/Wc9mZ0Gco2c87W+lvp81Ho4LfRZYPBYDAYDNBEpexf//Vfc/HFF5PL5bjuuuv4p3/6pxXL3HXXXezfv7+jO2iojxSCq/Y4uFWhdUvqrPuEJ84GzOQVYVyR+a2HChw+G+CFipklxRNnAh47HeIFCj/cHOXT3TIqkvlplhQs+nGmL41njdSiOpt4K5I4D5NTJ4U+n0t+1NacmFDBYjFa15m7vUCfq2fAKrQxGESw5C+fPVePgYxuvzQ+ZJV+Hsjo39mWIGNLHEvoOY1Quoj9SLcLsyzFYnGrXtmGrU4tbQ6VDqBcea6NFKJpXa43u24j0eu6XEm9zhab4fmoEd3UZYna8rpsS/2MLqity/VOcTLjznUkN12ktTljUwp4GF02GBqTxmY+NBVQDHTA5MRsUFOX7z7mc+hsgB9sDj3YaLpcrUNeuLkCsrVopMvtHLoCbGvzn7/VSHRZojU5CBULRd3ZI033MtcRJV2Gss2cDwBE3BWjXNUsMbpsMBgMBoNBk8qe+Jd/+Rd+9md/lr6+Pt7whjcwOzvLK17xCj74wQ92e/8MDYiU4p7j/rJs31ApppciHjkZcNdRjzBS+IFCKf3Q54eKqaWycy1Sih9P+hw+65dmiGxxn1lDcg64lkAI3QI2caw1a9BUt0HcimhjPa6gEfpmZEs9f64dAzGIYL6Yri3jZiXnwMsPZLlgu03GgqwTtxFLGdhZLCoePBlw9V6HvWMWz74gw7MvyLJ3zOLG/S4ZG/pc/RkmCQZR/H3wAsUjJwNuP1Qwc3IMW5JqbQ5j/V3yFbc+VMQPo6Z12d/C97PV6JQup233t5npli4DzHtbW5ddC7b3Cy46xyZjN6fLirhSOypr875tNjc9JcO+7bbRZYNhFdLYzJfttPWsxzgoU0uXj075BGFz7du3Ip3S5TRsdllppMvtjuaZLaw+F34zU6nLri0Y6xOMD1qp3y9EfZt53zaLkT4txtm4lbeg3J7a6LLBYDAYDIZU7Ys/8pGP8LKXvYx//Md/REpJGIb8xm/8Bh/5yEeYn5/nU5/6VLf301CDgxN+qQ0TgGvDTD42FCPdGm06X8ALdNvRuaJiwdOmiwKk0pl6SSsVw+pYAvxQlWYJqRQZlLVQpG8ZtRnaSVcj0IakY+mKzrwPQaQI4t4+5nJsDy+A+57046oAwXkjFv/yaBFJ/aSLyrZYlhTsH9MVfVfudkvLJP+/YV+G2w8XWfK0ZVnyKSu9/lBpQ//QVLDs/QbDVqBam8Oo/N2ayUd8/WCBjCVS6/Jm1IBO0ild3upsFl3u1e9LGIEXCiRwyU6H80dX1+UEQTzn3VmpzePDehmjywZDfdLZzPGsR8rJs0JU6bK3TgewwVgvXe7V+387NNLlJNGp14+7V/evUpcv3mFzwTabx8/6iFl9DddKJEs6VyStjQezsqbNfN15GeYLEbcfLjKzpJCyIinB6LLBYDAYDAZSVsref//9vPOd70RKvbhlWfzO7/wOf/qnf8qf/umf8va3v72rO2mozf4xu9SGaXzI4gUXZ9m/zcKR+uEyY+ngjFK6QichijNVG7VKM9Rm3qNkYII25tOew8piiCTbVdC4SEJQXm5TEVtnVnxgSmmnSBRtrEoa2aMfTKT0TJvvPlJk36jF42dCHIu6F1LWodSeWAq4+lyHwWx9eRjMSm7cl2GkT+JIgWvBSFZgx8nFEtgzbJk5OYYtSbU2/9SBLCM5/X2S6FbEzejyBrolrgvt6LKs+n/y82q3dtfSz1ibik2gywIdROlFIqXnwB6aCvH8aFVdtiUMuvp4LAl7Rixu2Jepq81Glw2G+qSxmYu+1uVKHTb2cmu0o8uVVN4eV7OHHcGK9tSbgUiVA7JKxTN11XJd7uXrcyPo8uR8xMn5EKX0mAVLrmyVDdpGTmbESmDviK6MNbpsMBgMBoOhFVI9ui4tLdHf37/i9be97W1YlsXb3/52wjA0wdk1ZjAruWFfhkNTAQd2OUghuGaviyN9npwLiCL9BJyP29sMZQVzBdXWXLBmkRXOPehto6FVWsn+FIAS5TY29VBAoOpna25Y4gxRPwKvoAii0ssbirX8LjVFHPQpePDtR4rYEooBdU9wwQdPQNbWLZYWUvRKHcxKrtzlcN+TvjZiI0HOVgQeDGbhGftcZK9a4QZDF6mlzS+5NMPXDxawha5EX/LVuulykuWf3Ic3I2l1ubL6UwFS6qqo1T4PP3babSo2gS4renc+npQQRgql4MhMiGtFDXU5iGDRJx5BIBjIyobJUmB02WCoRxqbecnXcyStOGM2WMP2AJbQiRh+uHG6EjRLq9WSJV/CKu/3FRA0WGCDIoAlT+GF8Wx70cP2Zw16WZeB2EZWRFHZZhZCoGpcbSruGiKAwYxgtD+dLt+4L8ODJ32OTesLtM8R5H2FkHDZLtvossFgMBgMW5RULqV9+/Zx77331vzdm9/8Zv7sz/6Mv/zLv+Td7353R3fOsDqDWcmVu5c7WYKIUkAWytUcSx5cuN1K96F3gKQK1I3noPTw83hDqh+Tk9bDpWxJVs8AFRXvswWM5ETdipxa1Ze9HJC1RPMZsMnheGG5JVgPH+KasFrVdDMopYOwS75CKO1cL2VXN3hPEME5A+kyducLEfdN+MzkFbMFvf58oD/H+QLcedgj6mUr3GDoIpXaHCnFfScCMpbAim/w66XLCY5kQ7dg6JQuJ0hgNFe/UraWLq+lw75ZjC53hk7qchjpgAuABUaXDYY1ZjWbOWNpDVDAYCalk6RDRApy9sa+53ZLlxM92+CPLW3teyGgYr5xR3Znw9JRexlYKCq8QJ9UC8WSpwjrnOSK7sPYNqkrXCOlODYdUoht82QdxQC+83CR2fxmTZE0GAwGg8HQiFT2xnOf+1z+5m/+pu7v3/zmN/PZz36Wu+++u2M7ZmiNWjNzLCnodwUCxdRixGB2bfZFoQ0Hr4cdl2mo9VieZH2qeJ7Iaj4uRTwPzIb9221uvjzHvjEbmRiasXWx0bJfszYM5ySjOYEtO9/OdyMb380iWnCiN0Khneuhgm19giBa3jZ75Q7of+YLIYvF1S/CQ1MBs3mFH+nKgvmirvwDnUV8fDbk4ITfcB0Gw1agl3QZ4nuD0eWSw1gI2L/d4ieu6Euty70s093Q5U46QTcSyTXSyfX5kdFlg6EXqNbmnKt12ZU6YcpZwxb1Ct3ydyMXzHVTl11LIGVsK8XLbqRT5VjaDzDa17wub/DHtY7TLV1eKCqkFIi4Sn7Aqd8RRQqd3JhGlwF+cMSjEAd+/QgWPK3RAIVA8YMjZli1wWAwGAxbkVRB2be85S0897nP5cyZM3WX+bmf+zn+9m//lp/92Z/t2M4ZmqfWzJzxIQtLCixL4IWKYlCeGdZtksDsRgo0pkVV/FmNpC3VUFZy3fkOlhRcvstmtE8ylNEP9xtxPp0fQt6PyPv6+Fb7nJOZfWnaPsp4jpoUMLgFRq1063tSDODEbETO0efStbVDoJqkmnsmr3ji7OpO2wO7HPaMlCv8LCkYzOqZOY6E4ay+HxkMW51e02Uwupzg2pC1BRlbO+KMLtcmOadSlAO0Q+7aOsXXywHfDYe40WWDYf2ppc3njtgghE5mEGuvy5uxkL1dXb5+v8u+bRbjgxJLlCtvW6Hdj9OSeuxEpsnbaBTpz3a+oOrOK62mUpcb7bdguS47a1jivZl0OVA6kcm14rFRCMZyouYxCgGzKXUZ4IbzXbLxNeNIwUBG6zLoRLobznc7dBQGg8FgMBg2EqkeKa+55hquueaaVZd7zWtew2te85q2d8rQOtUzcxaLCtuCPaOSnQMWtx0qUgzjB32xdm1xVcX2Wp0p0yssa60UV9CsdjyR0lWyYQQPTAQsFCMm5yJsS1czCqC4ATvXhAryPoBK5biQAs4bkxydXt2csmU8czeChQ4VdvRiJXJy2lTFz53cxTD2hCx6sGdEcnohIoxWbkepJEM/XU2UFIJnnO8ym4+YLypyjjZcR/sE5wxaXLjNWXXOjsGwFag1y+4p51icXQq5Zo/D7Ud8/FARsbb3qK2uy6DHK7i2YHIu4psP5okiPbstqcbxwo13Xrqpy8nySul5p+2em6QiKs01v5afQ/X3weiywbD5qGcznx/fD4v+2upytR2wVXUZdELU5FzEtx8u8JRtNkenQoqB0nZhE+upptX3SQHXLTzK+A++Q9+//SvexZcw9fyf5M7d17IYrn5PLflbFKXuBasxnIP5otaARsF6RdzaWWjt99u8aKrt0kaspy53gyCCBQ92DepOFrP52luMIuLSlnRh6aGcxQsvzvIvjxZxLK3Lfa7AD+H5F2UYym3ADECDwWAwGAxtYyzzTUgyM2exqLjjcJHj0yFBqB0y2wcsbRDEz5hrmeGYbHMjG5iw3Giu/Hm192jDSjG7FHHobMiSp1go6gopfxP0JkoT4A8UHD4bpZrFp5Q+LxGdu2ZazUDv5vdECBioSJDt1vcjUjAxp6unKs+poJxxrhQMZMAPVGnuXKQU9z3pMV+IqtanuOe4TxhBn1POJPYCCENBf2YjNRYzGLpL5Sy7+ULEnUc8/ACenFNcf75TavG31kkjW1mXQQcWg0hRDBRzecX0ktbkvF+eq7qR6YYuJw7xTiT12as4m+vRTqVUWioD2kaXDYbNSS2b2RKSG/etny6rqn83Ksn+Jx0b0hxPkgy14CnyfsRiIeL2wx5LniKI1k+XnzXzABe/9sUM/8oHcP75n+j//f/B3le+kOcf/EbNLgeNSLv/s/lk9nj6dbYbkAWty62wFuriWt3fjlIwMac4s6Aohit1Odm+lOl0Ofnd42dCXKusywJwLcHjZ0Iz691gMBgMhi2K6WG1iTk0FeAF+v+TcyHffSTEC7RzZ9HTRpJt6UqRQiiwhWLejLRIRakNUxPP0JHS80pm8mHJwIo2QTC2WdIecjcy05tdnUC3+1sKKH2XOk2kaPp712q2sF+jGtsSoASIeIULRUWkIu4+5nPVHod7juuZWyfnQm7YlylV2dSak1l5vzk4AVfuNu2YDIZqqrV5agn6Xa3LKLAsPcvK6HJztKLLSsGip5p2qq4Va1UplVaXk/1RrF69k4ZWHMiWgAu3Sw5PR13T5VaCzkaXDYaNS7O6vOBt/KDpWqCIA4tNLC8UhAAhRLLcOn+tuntVM2RH7P6XryH+63+NHxoWwbahv5+xH9/FlZc/g7vY0fHtNqPLSQXxeumyY8FQ7F8qBt35bih0wL4ZJK21Oi49T1ah2xrrc+0FcGIuRKyiy2C02WAwGAwGQ21MUHYTc2CXgx9QeghMHv5cSzK+XdLn6nk6h6dDLt1p8d2HPYph1PQDryE9xSDOsoznFCniOTMp3y8BJ/7WCrTh1am2x73WJitQOls3aW24Hm2HXUs7Abrl+G2HZto+rraijAVFdEutKAClIp44qzi1EBBFOqfXC7TTKjEa94/ZnJzTiR7jQ9Yyg9S1zdw6g6EetbTZtSRWVuFaghv3ORyZiYwurwEKfd9L2sQOZbVTMYqaSCCii7os9PrXyxldjZCg4ja7kthxvsZs69PVpZtdl3O2dkB7IYQBQMTErOLIdIAt9LxYo8sGQ2dIq8uXj9s8MBFw5GzATKFHbsw9TrNnKUmuSu6jQ1ldXThXUKm1UKC7EOWDcnVjK7qcseGFJ24jc89d8M1vwsUXw+goLC3Bww+DlFxeLOK88i38oO/C5jeQkkbBRREb8FLoGbTr8bw4mgUvFESR6ilfQqcSyJJ1IbRvwo90ssF8QXFc+Q11GYw2GwwGg8FgqE2P1gYYOoEUgqv2OLhVz3muDc843+Vp5+oZFlfudnnoZEgYwYArUs0gM7SGQhtVyYgwlbKdU7w4jp207RP0uZJ+V3SswqeXjCjQjl9ptV4xK4DBjDZQnRbPkR/pttO9RpI1vn9M4rb5+UcRFIJy1XaSiewFipklRRif/PEhiwO7nNL7kllce8csrt7rYEnB1Xsd9o5ZKzKEDQZDmXranHMEL740y3CfbXR5DUl0GQVOfKJ7RZcjtT4B2XqXWxhpB6ctW9uvRJdtqYOrrbDob35dVkonplVW0fqhrurO+4pFT2uz0WWDoTOk1WVbSp0sIzC63GVUHEzdMyzxApXaFkzazOYDrekDmdZ0OWMpXvTgNxl883+GK66A3/s9uPxy8DwYHoa3vhXe/nbkP/4jF//cK3jO/IPNHmJqEn2pRdIa2rZqd15YjUpd3jHQ2miAvK9bTns92AFMtwlu3+kphO4u54flIK9SMFeAvFdfl8Fos8FgMBgMhtqYJ4BNTDJbqrqawAvgnuM+c/mQ+570iJRiR7+kEETkfcVQVnR9VtdWRsTZv0HY3LzUJNOz4EPBVywWIwqBSjUHrpcRVf8mKKDot57xm7HBkYKRrGy5amU9qnPTIgUcn41ankcs43VElI8zqfJRlIMBC57CteGqPdrArJyXUzknU++T4MrdrjEuDYYGNNLmO4943HuiaHR5jREKEDCd15U4W12XoX5gNpn33gqJLg9nJUt+a9f0Yg+3825Xl5NgQhhfU8lrSWtKLywHbANldNlg6BRpdXm+EFH0Irywd9vebxriDhaPnw1ZaqIlbtL5KYja0+XnnvgB2/76s/A7vwMLC7pt8fOfD7/wC3DkCHzqU/rP856HuPwy9r3z/8PVhSNNHmQ6FHFHjwbLNNN5qxLXKutyGMkViQlpmPfoyeee5Lwp1VobY4jt5Xg9i/7yGbPJNhKbeclXXHmujRRixYxZo80Gg8FgMBiqMb0yNjGN5lecmA04Mh2QsQSLRcV8ISSI4val/vJs1F5ra7vRqTQKhGqiElSVA2agnaKboaVlkv0rWFl50459JwTYlsALFDlHYEnFfLG3A63N4Ee0dYKSyrAEVfWfxJAFmF5S3HXMQwAn56Oa83IMBkM66mlzqBSHzwbYlmDJ85bpsgrUsvZrRpc7SxyTJYjKQbA05zeqocutBuSqGc3BgXGLwZzF9ELIfZPhmgUkE12ubp3c7nVXqcuWhP2jkuOzUcfaPa837epype4mP69YJnbM+4HRZYOhUzSjyzN5VZo7bbS4eySBVT+kcTSyighd0eiFeh2t6PJOu8j2f/57HYQ9fBimpuDP/1xXyQ4Nwdvfrv//x38MX/gC/PRPI/bs4eK7vs29z3pr12zN5Fkl+X+CEK0/e4SqrMuBghdf4vLvT/hMLW2OKzu5Blql3ltV1f+V0tfrrQ8VecmlGe47EdSdMWswGAwGg8EATVbKnj59mt/5nd/hJS95CQcOHODAgQO85CUv4aMf/Shnz57t1j4aWmT/mF3KdhwfsnjBxVnGhyxAPzTa8VP98ZmQs4uq5PwtVmUJb45H8t5AVPyxgLE+yVPOkalaYF20w2LvsKVb8MTzxqrZiJVUSUBWUW4FllRstmK+CHQLpuGs5MpzbV1REim29Vum1ViTSBJDX/HoqYBHTgcopfACeOKsvywDuJL5QlSqwgdWZAsbDFuZetqcaG/GqtLluGrOaHF3SGQhiueYZ2wdEM2mSFvcv00u0+V+Z6XvuNn2+a/bOcUbM4/xU4v3s+/xe9j24D085dDd/Ez4EG/sO8Qrdi82t8IWWBNdDnVW2kiuKX+7Af05BAqjywZDh2hGl5Ok2KCqMtHcxzpLMqNdCD0fNufoz2E19m+TnDfSni5fMvljnOuuhUIB/tf/gr//e3ja0+DZz4ZMBv7n/9Sv/fIv6zd8/etw7bW4f/j7PDc62srhrkqiy0n77MpOU4lfoVmEgG39y3X5oZMRL7w409T1nOzDVqXk3xEwk4/4x/vzPHF2dW02umwwGAwGw9YmdaXsd77zHV71qlcxNzeHZVls374dpRQPP/ww3/72t/m93/s9vvrVr/Lc5z63m/traILBrOSpuxzum/B52h4bSwqetsfm7CMhV+91mJhVTM6F5BzBkoIoVMbp22UU2jFpCRjKSl56eZaFQsT0YpG5oloREE/YPyY5vaDwQsWeEclCEeaLCiHK1VNJe7uNRlTRjikxQZKMU0voauJmDkuhkwv6XTg9r/ADRTGEJ842X4ojaa9adyMjACn1OQjiltsS3Zpp/zYLP4STNTKA5wsRdxwu4gXgB7q94j3HfZMtbDBUMJqTODY8dbduP2pbcP6YRRjC1FJETlLS5Vo3wA14q+9ZEl22JewZsRjISs4fkdx+2CcXRkzna79vz4hkNg9eGJV0OYygGEaEsdwI0ldovHpkgtzpkzBpI4SAMIQgHvgtJRSLiEKBodlZbnFdTg7t4NbZ7Z04BSuop8tUPG90QpcfPxM2ta5SK98mtr2ZSJy+gvIceKPLBkP71LWZl0KylmS+qIwurzXx3N7zRyWDOauky/4a6PLoowdhtA/+9E/hDW+A/n644w6YnYWbb4bxcfibv4F774Xf/V34zGfgu99FXHABex75D7KX76UQlsOUnaioLlVm12jFm3TtaHojSge8l9nLZwIOnQ2MLjeBjJ8h/VBrsheAQvto6mmz0WWDwWAwGAyplP706dO87nWvY3h4mL/7u79jdnaWiYkJJicnmZ2d5Utf+hL9/f28+tWvNhWzPcR8IeL+CR8/gHuPB4SR4t7jAX4AD0wEXHiOhWvrB+mMvXyupKF1qqsxLREbSjEZC8b6Jc++MMNiUfGDIx5BqAjqBGQBjs5ELHkReU9xbEbPMnIttWqbu1X3FXjd9tO80XqIW9RBbsk8xi19h7jFeYT/bD3ERX2Fuu+tzooVNV5Li6L2/jcz2696fYfORkzM+i23eE7mrfYylee709/b0hyeOCNbxhsLI5jOR5yc02fHC+DQVPniPTQVlNqkT86FfPeRQqklXPWyBsNWI3HCnJyPCEKBUnD3MZ/j0yGz+YjLdtkrdFkBjhHmtqjWZVlDl0f7JE/d7bJ/zObOoz5+EDFXx/ELMDG3UpdDpQgrhCOtfr0hd4jcmVMIKRHFop5d5/s6MGtZuk1iFEE+jygWEfk8O6cneHXu8LL1VOtwO5dNLV1WdV5Pu74nzkYcm16uy82sy7aMLid+d2F02WDoGI1s5kKgkFIZXe4yllyuyxLY3i+48tzMmuqyLaG/z4bTp+GWW+Cf/xn+8A/hBz+A+++Hv/orXSl7yy1wzz0wOakDtZYFT30q8tgxXjR//7J1SqGPr10a6XIridkKeLxKl0PV3HxYZwPoMrTnp1iNMNLXqy31c4qqeL2eNhtdNhgMBoPBkOrx8HOf+xxhGPLv//7vvPrVr6avr6/0u76+Pl772tfyb//2b/i+z+c+97mu7ayhORo97BUDuOOQR95XLPmKRa9cJWsyfdtjxVxUtfyLlg/gwLjNYFZyaCqg6CvmPWgUOwwjKATaWA0jKPiKRa/1z2pbRvFG+SBvCO7FnTqDtG2EUojJScSZM4iZGawo4oaFR7nFfpgbBmdXrKOWYShF566fdo2mCDi12Pr+9FLVsVunJ5UABjL6/93YXQX02TCUETjxPkTAzFL5fjE+ZHFgl1N6z4FdTqlNOpTnWNda1mDYarSqy34P3Y82ItW6rLqkywtFtWJbq/H64eNY83Na8zxPB2MnJuAv/xLe+U5473u1M3hxUQdpfR88D+F55PKL/OTw6fJxsVKbO9m2v91VKWAq37pe+T00e3a9dDnSXZ8ZdDG6bDB0iHrarICZvGK+YHS520TRcl2OFGRtSX9GrKku98sQGYW6OvZb34ITJ2rv7Mc/Dq9/vdbtz3wGXvYyyOXg5ElGDz3EFcHksmOJKiKXnQwMdmJdm0GXBTCcrf97u5X+zk1sO4igzxH0OaLUHruRNhtdNhgMBoPBkCooe+utt/KWt7yFPXv21F3mvPPO481vfjPf/OY3O7ZzhvaofNgLI8VMXqHi0kpLKGbyEbN5RSFQy1rVGTqLouwQTlrP3T+pn7wP7HIQQizL4G1E1oKcIxBCLKuSbYZrRgr85Pw9yHweEQdjyefjfsGWdvoWi3DqFCKfRywscNHZJ3hjcG/q42yV6muwG9dkvW308vVfz+CNgIVi97ZrAbYlEUIwkhMlwfAjRd5XuLZutyQrUtulEFy1xynN5kqotazBsNUwutwbVFaVdFKXk/WlZdgFZ3EREUU62FoswuOPw5veBJ//PDz6KNx1F/z6r+s/xaLW6FinheexrTBbN/DaSV0WLJ9j1ykktddZq6Kll74P66XLUsCAK7AtaXTZYOgQ9bQ57yvCSFEIIO8bXe4m1faylHByIeLghL+munzg7MPIvj6ts3fdVX/BKIKpKUiKFX7/9+G666CvD3HyJJc88H+XHVulFHcqnp90S+j0NdlofdW/65XcBCFgrn6Dr5Jmd2N/hYCsDZYUqW1mo8sGg8FgMBhSBWUffPBBnv3sZ6+63HOe8xwefPDBtnfK0BmShz0pdWavF+osX6Ui5ooKLyy3KE1aMa01vZYp2m2kgKwtuP58F4DFeC4spNv/YgQvuNjl4h02Y32i6WO+cNDnilMPIsJQG5OnT8Pb367/nDyprYrFRbBt/WduTjt+i0VEGPJG/54mt9gcla2dkjZ9nUJXr5QrPpPXXKvcYrrfrV/9sp40Ohfd/N6GQBBG7ByUjPZZWDI2JNEt3LwA7jnuE1VkCERKcc9xf1nGL9Re1mDYatTTZSl0IDbRZdZRlztJL0/DquwO4lqd0eWLtlvIJoTrp3PHEZ4HjlNOiPqVX6HmPIN774V//Vf90JYEcD0PUSzy2v6j6TfaJIkuJ4HsTlfe9mXECqekY5X1OeuALcr70Cusly7r53ZldNlg6CC1tHnRV0SRWjZ/dDPo8kbBljCcE+wfs1fo8moy1KouC2D7o/fAjh3aHn7nO+E974Ff+AXI1ijDfPBB2LZN/39uDv793/W82WKR/j/7FLvtBlHCNkjOgVLxnw6v24pnpFY+w7mW/iOF1hpH9pbvJc156NZ315aQiQtb02qz0WWDwWAwGAyp/GUzMzPs2LFj1eV27NjBzMxMu/tk6BDJw95Csdw2pxjoFjXFHhlT0cnHzY3w6Bop2DMiGczqr96Dkx5TS3rP0+x/EMJtT3jsG7NK61iNyhkqz5x6ALG4qFstAfw//4929B48CL/4i/oiyeVgeloHbF1XV9HaNmJuDhGG/GfnkaaPO+1+VrcM7uSMGgVsz6lSS6Fkm8WwnJnth73ThqmSZpz8nSRS2rHh2IJT8xF9rsC1BKN9EivO4J2cCzk44Zfec3DCL7VjBZY526uXNRi2GvV0+cyiYr6ium4j6FkaNsKcMdAJOZ3QZdeW2Ckj0bYAUShoPVZKB1kffVRX3tTjr/4q7r0s9R8hIAiwve6UZlbrsgKCDl6cCshIVaqWTQKxfqivnWKoF+olx2+C0WWDYfOQaPN8QRFEZW0u9qBNsBVQ6ASgG853GczKZbqcRhASXX7qboeLdjqpNWRbDoZytk5WPnxYJ0x5nraN/+RPYHh4+RuGhvTM2YRiEX7zN2H/fsR//AcX5CdSbrl5ao0R6tR6XQt2DYnS+i2hz6kX28x+2PlgcCdIkqzXWp69EPwA9o5ZqbXZ6LLBYDAYDIZUrqNisYjjrD7XwLZtvCTY00U+9alPsX//frLZLNdeey3/9//+34bLf//73+faa68lm81ywQUX8JnPfGbFMl/5yle4/PLLyWQyXH755Xz1q19tertKKX7zN3+T3bt3k8vluOmmm3jggQfaO9g2SB72XEuVMnt77eF5q6GAx8+E/Oiox52HCzx2Jmwq61oB03nF/++BAoenwlTvSz73n9g2oy2ogQGd7bu0pP8k5PPakjl5EgoF2L1bZ/0uLGjD1PMQCwvIM2e4YqzzUf3KdpLd4sjM8pktlQGDSFGuUusxEsO3G60jVyMMdcCiGCoipbhgm82LL82W2ry5NuwfK1uS+8fskmE5PmTxgovrL2swbDXq6XIv3ne2EjN51bYuf+OBAg+d9FM78V81PlNuRZzP6z8LC43fdPq0rpINglJAlqIOyF69q/N1yWuhy1N5PQMw+R54VeevEPTm7EajywbD5uHghM+J2UAHmzCa3AvkfXjkdMD0YsAjp8u6nOZ+W7aXl/jWQ4XUyURPm38c8T/+B9xyC/zFX8Af/RF86lPwiU/A+94Hv/u75XbFAM9+NlT6g5SCmZlSctXuiUfTbbhJun195n2YnCvPQg3VSpu5kwlanaD0vKJ0UHmtdXnJh+39Ai9UOmcOGmqz0WWDwWAwGAypPTgPP/wwd911V8M/Dz30UDf3FYAvf/nLvOc97+FDH/oQd999N895znP4iZ/4CY4erd267dChQ/zkT/4kz3nOc7j77rv51V/9Vd797nfzla98pbTM7bffzute9zpuueUW7r33Xm655RZe+9rX8oMf/KCp7X784x/nE5/4BJ/85Cf54Q9/yPj4OC9+8YuZn5/v3glpQPKw54XNt7k1dA+l4NHT2sAMUpYRVY4ViRQ6i7tJY2js5BHE7Gw5GFsswsc+prN+BwbgD/8QJid1dWyhoB2/iYM4l4Pt20FKRCbD1bOPNbfxHkHRm87d1Si12VyHrORAwZ1HfITS1QMXnaNbMl2912HvmMUN+zLLqrYHs5Ib9mXYO2Zx9V6n4bIGw1bD6HJv0gld9qPmqqocoXTr4mRlllVug1iPK64oLxvF5VxKIcKQS0SDCtseZqMGQJJ9Xo92pkaXDYbOsn/Mbsm2MnQPBRw6G/DNh4rLOzak/IwiBTNLOsCYlqGH7oNXvEIHX/P55b88exY+8AFdRQtw2WXw0EPLd+jSS+EFL4AvfAF+4iew5mbTb7yHUJD6WaiXSJ4n1qPCPVDwvUc9JmZ0i4+dg7Kh3hpdNhgMBoPBIJRa/dFWSolIMWxeKYUQgjDs3pPQ9ddfzzXXXMOnP/3p0muXXXYZr3zlK/noRz+6YvkPfvCDfO1rX1s26/ad73wn9957L7fffjsAr3vd65ibm+OfK9rP3HzzzYyOjvK3f/u3qbarlGL37t285z3v4YMf/CCgK4x37tzJxz72Md7xjnekOr65uTmGh4eZnZ1laGioiTNTm/lCxI8nPR4/k97RaOgugrjtnYj9qfHrkvStHgXNOQF390e8cPJOxPS0brU0Pa1/oZSemyMETEzA/Dycc47+/3nn6SDttm26GmdwUGf+7t6NUoq/G7m+622wpTAOkl4ha0O/K9k7ZnHlbndNttnp+6HB0ApGlzc/66HLb9x5Bjk5qZOfMhmYndVtEn/jN+D++2u/6f/9f+EpT9Gti21bJ1QJAUNDRIOD/PXc3ib2oDmaOReGtcHosmGr0o3r8MlZn+896hld7iFsGVdAVumyEumCs45oLhn31Q98hb6vfRX+4R/qL/Sud8GTT8L55+uE5oQLL4SnPlW3MlhYgFe+En9sG3978SvT74Bhw2N02bBVMdehwWAwaJq5H6bqi/H5z3++IzvWLp7n8aMf/Yhf/uVfXvb6S17yEm677baa77n99tt5yUtesuy1l770pXzuc5/D930cx+H222/nve9974pl/uAP/iD1dg8dOsTk5OSybWUyGZ73vOdx22231Q3KFotFisXyLLC5ubkGZ6B5BrOS2YLakFUIzSJSGmjrRcnpS7m9jiXLmahpfQBS6LY8hSYColcN5hGT6JO0sKAdv/39umL28cd1JezZszogOzenq2WnpnQwNgi0NVwo6H9nZhD9/bxy+CRfPrsz/U60gAnI9gYCPT9orF9yYNfqrewNho2M0eXOsRF0ubLisV1d9itmlK+67Sheu1K6M4Vl6f9/8IPw3/87PPHE8je85S06IOs4cduEeA5tHJhVlpVyb1vDxCl6C6PLhq1Et3UZ9Gx3xxIExvhYE1ZLZEoSc6OqueIRIFJ8RFKAbUHOgrmUY9fl+C64447GCz3xBLzmNfDWt5Zfc1144xvhd35HB2Xf/37o6yMY3Z5uw4ZNgdFlw1ZiLXTZYDAYNjupgrJvetObur0fqThz5gxhGLJz5/JA0M6dO5mcnKz5nsnJyZrLB0HAmTNn2LVrV91lknWm2W7yb61ljhw5UveYPvrRj/Jbv/VbdX/fCZ5xvsM/P1BkHTq5rCm97PiFuKVO1UyWZvdZAMM5QaGomqrK6fcWtPO2v1/PpMvldJbvyIieLxuGMDqqWzVNTsK+fXp5x9HLjY+XK3N8H5aWcAr51TbbNLZc3i6p2cojQzpaOa8CmC+ELBYVg1nTeNWweTG63Dk2gi5X/gtt6LLX3BtVEOjArONoXZVS/z8M4SMf0Y7fyUn92kUXab22LJ0olcnoiLeU+t98HrV3L0w3t+9psCWEFVVKRpe7g4hPbDOzjMHosmFrsBa6fPm4zeGzflPtbnsJCzbMM4UtVm/9vqxlcdXv0twnR3ICW6jUAdl+W2HNTWtbuRF9ffDVr5Z/PnAAXv1q+IM/0PoNcPAgPOtZ5EdWGUnQIsnd3mhxdxFCV2anTbYzumzYSqyFLhsMBsNmJ9Wwgle+8pX80z/9E1HUG3ny1a2Uk7bJzSxf/XqadXZqmUp+5Vd+hdnZ2dKfY8eO1V22VY5OR6ToPm1YA6q/QWkf8hMUML2kyIfNGWLKcnRVbNK22Pd1EHZ+Hk6d0o7fiQldDbt7t/53YkIv47rw2GPaMby0VF5p0PnexdUtw2odY9xh0tAETsUJk8BQFnJO+vOoiGcz5RVPnC17q+YLEfc96RHF99RIKe570mO+0BtaYTC0gtHlrU3Luhw0/95SYDUM9b+ZjNZcx9GtEa+6Cp72ND0+wLZ1t4okcAv6/1GEEoIHg+60CgtSBGSNLjfPCl3OQNYBq4kTGSqYNrps2AKshS7/eDKgsEEDsrBxArIQV8BWvdbpXg/TS4ozi+k7S11UnMR55ztgtWKEF7wArrlGtzF+//vh3HPht34LZmbKy5w6BYUCA9MnGbQ6/8mkncVudLk56unyQCb9mTS6bNgqrIUuGwwGw2YnVaXsrbfeyte//nV27tzJm970Jt785jdz8cUXd3vfVrB9+3Ysy1pRFXvq1KkVFaoJ4+PjNZe3bZtt27Y1XCZZZ5rtjo+PA7pidteuXan2DXSL40wmU/f3nWDfqMXDJ31Ek4E8Q3tkLOjPCGbzKpWj1hLgNNmWOC0zyqXv3HN1i2Lf1xU427drh/C55+rXhNBBW9/XrYvPOw+OHIG9e3XL42JRO4JdVzuOHQdSZh93EnMNN08I9LtQDPS/lhBETbZn02Zj2fU+X4i443ARLwA/gKv2ONxz3GdyLuTkXMgN+zIMZlPl/RgMPYXR5c1FZfWQFHDxOTaHp4JUWtvKuIC0BAqcXA4RhroCNmlh3Nenu1b09+v/JwlQlZW0lqW1WEr9r2VxbLr7zr1616qpom2eal22pUSoCK/JkxhGYHTZsNlZU13G3Me6jSX0XSuxj0dzsGPQ4uFT6QKY1R0capE2cJkwYIc68WnHDm0DHz26cqFnPANuvVXPj/3Up+qv7MYbYWYGt6+Pq0/ez79uv6qJPTGsF/V0ecFvrkOZ0WXDVmAtdNlgMBg2O6meAE6ePMmnP/1pzjvvPD72sY9x2WWX8bznPY8vfOELLFVWznUZ13W59tpr+da3vrXs9W9961s885nPrPmeG2+8ccXyt956K09/+tNxHKfhMsk602x3//79jI+PL1vG8zy+//3v1923teLwdEjGFmRskzHZbSR6Hp0tIevqAFYmZUWia8FPHcjQ14URJP8+O4Can9fB1cVFuOACXfWa/Jz8WVrS7Y1379b/ui6cOKGNz7k5PXN2aAikRJmraUMg0BnpxQCGs5I+V5IPwIuDQUKAk0IJBLoV2AXbdC7PoakAL44VTM6FfPeRApNz2pniBfr3BoOhNkaX144Qra+2hIwNk/MhA020lLvpIqcruvx3s7u1AzgMdRVsEphNfs5my2MDKp0eSSDWtvUN3PNgZKQnNNkEMtJTrcsAC7525gqhnyXTfKLb+qXRZYOhAxhdXjuCWCwEWpsjBHMFhZUyNvWCi2xyHdZlOTWlq2Tvvx/e9z543et0IhTo2e1vextcdhl87Wtw5gzs2VN7RZYFT3+6tquBgSce6uyONsFm0eS1+j7W0+WkY4jRZYPBYDAYDJ0k1aPv4OAgP//zP88dd9zBj3/8Y97//vfz6KOP8uY3v5ldu3bxjne8gx/84Afd3lcA3ve+9/HZz36WP//zP+fBBx/kve99L0ePHuWd73wnoNso/OzP/mxp+Xe+850cOXKE973vfTz44IP8+Z//OZ/73Of4wAc+UFrmv/23/8att97Kxz72MR566CE+9rGP8e1vf5v3vOc9qbcrhOA973kPH/nIR/jqV7/KwYMH+bmf+zn6+vp4wxvesCbnppLKNin7x2yyjiCIdPDF3gKW5nodYoT2sSoFi0VFpBQ5WzKUWb29Xz6Af36giN2FZMm8D2poCLZt08HV2Vnt5N2/Xwdi5+d1lezOnTpgOzGhDdHh4XJ7xcVFXS0bRahcjgfkOZ3f0Soy1sZwjHTjM+sUpZmJCkZycM6AxBaqbKgr2DMqGc7WX4dAV3FnbcETZwMipTiwy2HnoGTJV4SRKhmcAONDFgd2dSGKYTBsYBrpcprECEPr+KF2pnmh1uYghOGMvnc3cgJHCr7zsI8dj27tJJECJUR5PqzjlOfLRpGukHUcXS0rpf4DOiDruvo9Qujg7Gc/25Vq3lrI+Dz0ujbLXt9BkspixfZ+QaSi0ggHpWDAhX3bGt8YLKGvYaPLBkNrGF1eHxS6SlahE1EWi4q8rxjOCDLW6vfvbz8S6GrbDt7nowj48Y/huuvg0CG44w4diP3FX4RPfAIuuUTbx0LAF78Ib36zrqitJJeD3/1d+Lu/g//4Dzh5knDveTW310mSYGGv616r+7eWweVKXRZCoSqakFgSbr7Mbfj8YwnIOaLUovjycZvxIQulFEu+Iu+Vj8bossFgMBgMW5tU7YsrufTSS/n4xz/ORz/6Ub7xjW/w+c9/nr/4i7/gs5/9LJdeeilvfetbed/73teNfQXgda97HWfPnuXDH/4wExMTHDhwgG984xucf/75AExMTHC0ot3M/v37+cY3vsF73/te/viP/5jdu3fzR3/0R7zqVa8qLfPMZz6TL33pS/zar/0av/7rv86FF17Il7/8Za6//vrU2wX4pV/6JfL5PO9617uYnp7m+uuv59Zbb2VwcLBr56MWtdqkDLqSGakdPirFk60j9YOzF27MtnTruZ+JoSmBvK+QAnK24Jx+xZmlxud/yS/vu2TlvJ12+PHohVxx9k7E/v3w4IOwb1/ZuBwe1g7gyUntIN67VwdqT57UgduJCR3QHR6GpSXUyAj3zOU6uHe18TbIgKTqWbi9SKjg0FSEIFrWTlsBJ2Yistbyay5JIkjaf4URHJ8NObkQEYT6vqKAINQBjn4XLClwbf07aQZmGgwlVtXlFPeQja7L64lCVz9IoStnF4qKoYxgW5/i7CoNX4II5uJW/ZaIg6kd2q9/khfx09aDCNvWGpy0Lw5DHZz1/XL74kxGB2BB/95xtH6PjRE89Wkset2/EpLOC9D7112THfrXBT+CqSXF1NLKh50lDwSKQRfmveW/k/F1GCp4cjbi7KLRZYOhWdLo8moaK0RZF5J7TvIt2wC3oJ4gsZu1zSwYzup7Xr7BfN9Ile+LndLlR3dczL5cDvmVr8C11+oRPp/+dHmBP/5jePaz9e9mZ/Won1/9VTh+XCc4b9umE5vf9S5tY8/OwuHDzF5/c1fH/SS6rEjn41lPNpouV3//wxD+45jPQANdjhQcmw45vRCRtQV+AE/dbXN4yscLKWlzzhVGlw0Gg8Fg2OIIpdp/fDtz5gwf+9jH+MQnPgFAGG6QSEoPMjc3x/DwMLOzswwNDbW0jvue9Dg2Vf4MXJtStvxCMSoFuup98AIYyoIfCQqerqjLWpA3H2tDKh/ck8rCxEiyhX7IX29j5I3Fu5CnTulZdQ8/rNsenn9+nB6MdggfPQqnTumM4KEhmJnR/4Yh7NyJcl0Wd+/l789sX9djMXQOKeJghSob9KXKbqFfU/FyQ1mBJbSTd3pJ4ccXtWsJ+hxtWI4PWVy9t31DsxP3Q4OhXXpBly0BgxlY9MvdGCwB/gZwcPUKlfc0IXpHl1+57RSDU2cQQaCDsEqVP2QhyjdlpcrVskrpoGx/P/zkT3Lf1+/gHtX97hWGtSUXa6oXqFIylaRCr+Plsjb0u9LosmHLsGa6LOoHugS6JX6/C7N53ZLXBGTTUR3scq1yQEup9Tt/rz/0z7jf/y4cOKArZCt517vg85+Hn/kZHYANQ72zrqtt6v/zf+AXfkEHb9/yFrjrLnjRi7j35z7AvYsD63NAho6T6HK+4gG8WpfL9wYZJwUqCkF5+USbjS4bNhPmOjQYDAZNM/fDpitlKwmCgK997Wv8+Z//ObfeeitKKa6++up2VmnoAAd2OfiBnlsRKsVMXj9A6mCrZDoflYyeWihgoagz9G1Lt/0zAdnVqQzISqGrE8JQIVle2VQPGbeh62Z16Ff6r+HV236IOHNGV8P29+sq2JMntXGZyegZOU95ip43e+wYnHuurtTZvRs8DzU4yFe3QEDWFuWZR1uBnA2FuFArUvr6jSKFH1cKjGRh24DF1JJuv7To6d+BruAbzup7Beh7z8EJuHK3u27HYzD0Eu3qskBn5UeR1gqFCcg2S2VANq0uJ/Pu/C52Q/iHszt43WiAOz2NcBydLJVUyibB12Kx3KfRtvV8Oynh+uuJfvu3uV+csyWiAFupMlwArlS4jkBmBNN5RaRgMCNY9BRJ/utQVmBLjC4bDE2SWpfrvF+hn5dnC+VAzFa5P7VL5XnSYwQEKlSpA7LdstEC18X96le1Hbxrl7aRE+bmtPZ+8Yu13+w45cSp0VF47nMJx7bxaLG/8ztagbnu1o5El4UQBKF+LKvWZQGcN6pn0h6eClFKLXuGzNp6PBMYXTYYDAaDYavT0rSU+++/n/e+973s3r2bV7/61dx+++284x3v4K677uJHP/pRp/fR0CRS6HYoltQzWrxQseQpHFs7b2D1ypBQaWPHj3p/PkkvooAoUozkBINZmeocZmzBtn6Ja3Vvv/IB/J+xa1HnnKOjbydPQjarA6/79sGOHVAo6FZMi4u6ilZKOPdcVBgSDQ7yd/Lyrht/Asis8yynRsb+ZhozlVSP+ZH+qAcygrF+qTOB4+tWShgftnn6eS7FQN9TgjhYK4H922xeeEmO8SF98bo27B9rK+fHYNhUtKvLgdItxJM2f4YWiO9njgWDWZFKl6WEjCO6qssAX57ejT+2Tc+YtW2dIDU4qFsZu652BA8P664V2ayeW3fVVaif/mnuvOkNhGvUQn+9dbnRpb+ZdBn0s3cx1EmSg1nJJTtttg/oebFRHAHqc+Cll2YoBhhdNhiaJK0uN5IKL9Qt7o0st0YSUMw5cOE5dipdtiRk3e7ocvHok/DOd8IXvqBbE1fy938Pb3hD/Te/9rXwta/BW98K3/seamyMszfcxFLQXUfK9j4dpO5FNqsuF0PocwXDWe27qdTlnAM37s8A8SiBqHwPydqCnz6QY9ew1mKjywaDwWAwbG1SPwXMzs7yxS9+kc9//vPcddddADz/+c/nrW99Kz/zMz9DJpPp2k4amiNSinuO+8wXVWk+pB8pzi4oZmRzD8iV88MM6bElSCnYPSw5s6AYygpm82rZvM7K02oJOHdIknNhapX5du1yqiD58sDTee3o44iJCUQU6bk3+bxO+RwY0A5h19XtmaRERRFqeJgvRpeh1qBquterwCI2T2ayQn/sfgBK6NaHrq0LtLxQL6CAJ84EHJ0OKATl9zkShBCIuPrs6r0OBye0gTmY3WymuMHQOp3UZUPzJBWvlhRkLYUfaqf7XEHVrYSSQjvQdg8Jjkx3/27/palx3jB/FOvIIcRzn6urY4tFHRlWSgdiLQsuvRSiCPWzb+Lgu/47j6iRru9bgtHltUOgdRmpODYdMpSVzBdVSZel0N0t/uG+QumeYnTZYEhPWl1Oc0+pHPdhSIeo/FfpANU5A4LTC+uny4t7L2T0fb8IN98MF14I730v/OEf6jYlS0tw8CC88Y3wN39THv0D8LKX6aSp178evv991DvewYkrnsF37ad0fB+rOZvXfoReFL81yhdbMxR6JqwSiiiCYgBBFI8XUOWg7dfuz+t23PH7El3O2IL7nwx42h4bZ9LossFgMBgMW51UQdk3vOEN/MM//AOFQoE9e/bwoQ99iLe85S3s27evy7tnaIWDEz6TcyE5R6AUhJE2NiP0gyToh8Og4km53nP8ZgnIroWtItDZu3b8bD2UURR8QdGPKAQwkIH5ot6P6n1xLO1rffBkuOxz6RZeCH8dXsjeXefxXHEMOTwMnqcDtFJCNotaXAQgHB3lH7z9LAXd369Kev3a6/Hda4owKn9HIqVn3wjAAkL0vcOL9J8kiz1ra+NSACfnIg5O+Fy52zUtmAyGGrSiy0lbtFpshvtPN3VZUD5/AhjrA5BEUYQXgS0VhUDQ78KCt9KRnowh2DkgeOJstCa6DPA3g8/g5iu2c863vgV/8ReIO+9cvoBloV73OsJXvJJ/u/C5HI0G12bHYraKLifat54ESgeFBLoF8dmlqDwXGSqCSHFLbmF02WBohjS6nLHiRNGwcYti08EiHcn5swT0O3o8Up+jA7JLRcVsgXXV5YN7r2L0vb9E///8XXjsMR2Affe79S9PnNBjf571LPipn4If/1jbzDt2wMwM/OAHqO99j+CjH+Of9r2A+WLn968WySzezU4v6HKkksR7HZBV6GuyUpclujMZ8e8cKRjtE6V51ZNzIc6kaVlsMBgMBoMhZVD2K1/5Ci9/+ct561vfyktf+lJEm8PoDZ1lvhBxaCrgwC4HKQT7Ri0eOx1gC9i/zWJ6KWQmr+dZWPGD42BGMNonObkQkfdU14zJHk3c7Ci2jI+xyigKIsHZhZAlX1flFBrMySkE8OjpcM2NqmMFhy9yAdiwf6dkXy4gFxVYlDmeWJAcm1HQ5crdrUyvfD8So9KKZzRFsTN4IAOWpavJEm+UQs/D+ekDWe5/MmByLjTtlwyGKtrVZT9QFNfb+9RlEsesoPOz4Syp72l+CAhY9CDnqDggq51pfqjq6rJCB8gPT0drrsvfFBfAtRdwxbNfxVWP3YacnADfR2WzLF50Bf8yciUzvtx8JSg9gh1fk70QZBGxLiN1UpQAXAv2bbM4PhORj0uXJUaXDYY0VGrz/jGbydmA2QKcOyxZ9KIVutzvCnYOWZxZjJhaikqt4nvl+b0bSGonELdDkihVmtEudOCqz4WMLRnJCQ5PhQ3t5bXQ5VOqj++//gMceN5L6T/yGMNP2YP1sY8hbr9dB1+jSI/5efaz4YEH4MgREAJ1xRV4r3othy+/gTvDnag1CshuFXpJl0MFWQm+0P9XarkuFwKFBRDv8/5tFtfsdbnnuG+02WAwGAwGwzJSPRGcOHGC7du3d3tfDC0wX4i443ARL9Btzq7a4/Do6RA7rrjxA4UfCvocbfxkLEBoh6VrC8Kou9mVPfDsDHR/PyQQxW2riqGuVggVLDUR8K7+HFypDdi1cswfOhtxCAn0xa/0yqdn6BaVTqUI/UNlzk2gYNegRd4Pydj698VQ30dM+yWDoTbt6nLGEhS61Ce21xzJ3XSwKaWrGaL4viWEnt2+UXT5gXw/D5z7Yji36hd+97e9lbGsuG3wOrFCl+MAhoyTonTCga6I1VU7iiASRpcNhlWopc2DWYvZQsjkfIQjoc8RK3QZdCyuMiW9l3S003Qj3ydJwlJxi9ektasXCmwJU0uKMCo/E4iK961YV9WLjtD37UKH7ttnoizf23kd7LwOgBf99jjj//rPyCdP6Jnvvg+//MswMgIXXMDC236BHz31RRzxcutfyrlJ6TVdXvT1i0kCQ7UuV9rMSUKCGSVgMBgMBoOhmlRB2XoB2ampKT7+8Y9z8OBBzj33XN797ndzxRVXdHQHDY05NBUsa4fy3UdCvAAsIShGihNzEX2OQAjBSI7SsgueYmFKB1r8UBtHqkEl52ajk45ppfRsuqXYiW5JgURRDAQ5RxuJle0pHUs/0BcaOFb7nLhlnamE2dSs5/fNQhuRfhRXysaviziz15HaCXX4bEifq9shug5Ypv2SwdCQdnW5zxEMZMrzTjuqVx1aT7fo1LEaXTa0SnEdHb/1dBm0NrvxeOFDsS73OQLXNm0RDYY01NNmgEKgiCz9nVprXe51uqnLjtRto5d8HcgK/XLgdiir78dLVbpcuS+WgIyjfRnd+ky+7V7E7pfu4eInDzL6w3/Dfexhotf9Z/JPv4HJK57Bwf7zKXhd2LChxHrqsqRc4Z1el/U9pE/CyXkzSsBgMBgMBkNtUgVlP/CBD/B3f/d3HD16tPTa4uIi1113HYcPH0bFKYtf+tKXuPPOO7nkkku6s7eGFRzY5eAH2riEshEJsGfEYr6gWwGND1lctcfhzsMex2dD+l2FEJIwguEsjA0InpyJWPI6Z9D0ksFqxVm5yTyg/WOC+aJgOl+eSZPsb6Ps3HrrFkIwnNXn9IJtFv9xzCdUCpUY7rGBGSoYyQj8QNV1/gr0jM9OVuIkswoF7WdAd+JzHXBjp/gWaAPWa8SdECGeiZOResZw6Zfoa7rP0dm+i54i7+v7Sc7VgYyTcxGOrWfPzhcik/FrMFTQCV12LcHzLrT5t0O+vk926AbZS/daEf+VaKRjgWPpqpm5girtZzLHupnEsY2gy8l8vF5oxwcwlNG6nOhB5VxeQ3cxumwwdJ962pyx9b04Y629LveSJkNZl4n11ok7eHRDl6/YZXPfkz4zSyppCIAEpKUDYIuebsve6BzZFhR96FRzkUSXo6rjejLM8eTO67Bffh2ZuBtW0Y/PRxcDhha6SrQTutxr19pGQALC6LLBYDAYDIYukerJ4LbbbuP1r3/9stc++clPcujQId7znvcwMzPDbbfdxsDAAL/7u7/blR011EYKwVV7HNyq8LprwzPOd7lxf5a9YxZX73U4PR8yMR+ilGK0z+aGfQ7FQOGHiidnFLbQhqnVxshgAewbE/S7omSw9QKRKlcAKuDEnMKPFENZSc7RxqYQ5S+EJbUhmAYh0HOICjC9FPHDY35p5pAf6cCjqtiHhSIUQ0G906NY6fgVUHf5NCTZnZ0o8GnXoBPorOewolVuq+tMZj41OjfaCbByH7YqyXVgC8jF13jJUFfgSMFARiKk/g6P9AnOHZbMF0JOTOsLac+IxaArOTWnW8HNF0zpmMGQ0AldLvgRdx4N6LO1o7gdXYYKXe4xf1ASHFXooKdjgS0Fo336/iPjZWyhf5f2PGwEXVb0TkBWAAuePjeVutyK4zfR5UaXmqS3dHm9nwmMLhsM3aeeNuccwQsvznLeNnttdXlU0OeKUovknqEiIBmp7unyHYc95guqZJuquKWxH5YTlpbiNrH1KAadC8hCWZfrrTKIdPCt4KvUtmsrl0nyngity8k10qouZ6y4xe4q2+wlXe4FjC4bDAaDwWDoJqnMgCeeeIKnP/3py177+te/zjnnnMPHP/5xhoaGuOGGG3jf+97H9773vW7sp6EOkVLcc9xfVokDOvv3nuM+/RnBlbtdFouK2w575GPL5exCyHcfKVIIFAse5H0Vz1wTjPVLXElLQVUFnJxXuHZvZWMmRkyyT8VAZ/yGSuk5XapsDCriqp0U346klWEh0OsshnELpTiLNXl4T2aBRZEO9jpydWMuMXhzDoz2CYYynTWOZIqAZjcofRZq5VygZhDodkJWfK32OdDn6s9NVPx+KCtWfJZrecy9aNAm16SvhG7FGV8LlqTUqlgpcB3Bsy/IMpCV+KE+kpPzEacWQqaWtGHpBbolnMFg0PSaLkNZl3vJ91uty6GC2YIiUIpiUNbPUMVOV6Xv6auxkXU50a7E6V35ejfphi6LBro8nOstXe6F51WjywZDd2mkzY+fCTmwy2lal9sJzh6f7U1drrwfdlOXk7bEJVtUVAQj4+5Ofc5yTap3qqUA19LaPOS2/qxUD0vowGYrutyKvqiKf5XS56NVkmDrQEYn5tnxn0FX/yvQ52sws9L3kXbfe+ka7jT6Wje6bDAYDAaDofOkeoaamZlh165dpZ+DIOCHP/whN910E5ZllV6/+uqrmZiY6PxeGupycMIvtWEClmX/Ts6FHJzQFs+hqQDXEjhSP1TOFxWF+LkweRgPQlBKMZQROLZo2TGX92FmSfVkMKqSSMF8QUGkVmTFhgrmU8yHqZWxmrXLlSKg/59Uwyi0Qb9QtW67xsnqc+Enrshw8Q6HPSMWu0dtXnCxk7qCdzUiFVdGy7ITeCQrOrb+TpLsX6XjI6lcCiN9HK4Nea/cEjlpPzVXUCuu5bXIU02+V73g7K1FxhE8/yKXbHzxZR24+bIsu4b0PT1jw5W7HA5NBVw+bjM+ZKGUYslX5L3yUY0PWRzY5azLMRgMvUgv63Kvt6JVCubzCqHUsoCtUuClbB+8Hrqc65BuKuJWmvHTeaLLmR7UZaivy0rpY7Bk7+tyLz2rGl02GLpHGm1uRpe390v2jFgt62oQbW1dzsQuJEvo85rochIYDiLdwUFUrac6CG5LGOuDS3faXHSOzbljNs+/qHO6DDqomal4KHAtXRlZXVnaLZq5RAQrdbkQaJ+Ha5V1eMHT/0+StPN+WaubpV39rn7eWk9dlmL59vscjC4bDAaDwWDoCqkeV3fu3Lks2HrXXXfh+/6K6lkpJZlMprN7aGjI/jGbk3MhXlCeg3PPcW10urb+PZTn6EzMhctaBRE7zvYMwbFZ7bg8Mh2uyJRtliSLtteJFCx2OGlRiPL81jBaOWqmUGN7Ay7MFZcbNWEEj53Wlu7hqZCBjCCKdMVPp1BxhnPSynGmoFJVCK81Cn1ea11TCp1tvVQ9C1CVWwKuh8NDlf7qjTk+UmjDMUoGNwE/POrzwktc7jzi84zzHI7OhFx0joVjw45+yf0TuqLAD+Cpu20OT/l4oXZI9buQc3UrOLlWXgmDYQPQKV3eNyY4Nq2DV1tKl4GFOrNdW0WpuGU+nddlpURHNWaj6DJoXa6VKBAqCMMazys9qMvN7kan9DxxnAsJQul/weiywdAt0mhzf0ak1uXDUyGQvo1tLbayLpcQ+n5W6zTU0gkJVEqLAKJIcGI2ZMlTDGRkx3XZEuBXrNALwV9q77PvFrKBLlfbyl6oq2OV0pXM60Vi5yf7vV7nNUkCz7hQ8ONuXFIYXTYYDAaDwdAVUgVlr732Wv7sz/6M17zmNQgh+OIXv4gQghe+8IXLlnvooYeWVdQaus9gVnLDvgyHpgIO7NIPe1fvdbjrqEIJ6M+UH/6k1DNQls1uUaBCOD6rH0JnC7Fxsx4Hs0nI+/UdlfWY9/Rcnsps40IAj5wKSoZJECoWip1zZAr0uqrXV88oq85UXgtsqYOIzTpwk6zrSOnsWym0c3itjbzK9lPNOnIF2gGkanxGzSApt7+SQnDuqOTkfMhcXmfwPnYq5PkXZfj2QwXmi4oTMwHPviDLoamg1OJtYi7k8FRA3i87sYshSF/xrYcK3LjfZThn1d8Jg2EL0RFdjuD0gr4PFDqYiLNVKYbN34Pr6fKjp4Py7LtAEUaiY87MRJernx96VZeTQHcahIjn1W1gXQZ9DFLoc9Duviv0ubAsvSdGlw2G7lFLmy86x+LsUsgzzncZzEoipVLrstgI0dQephAs71qRlqCGPs4WVGk9fhB1VJeTbcqqe3693U4Ce1GDZTpNO7ocxf/KeD3eOjxztuvbqLSZlWrvvCt0Al7WMbpsMBgMBoOhu6QKyn7wgx/kWc96Fpdccgnbt2/njjvu4DnPeQ7XXHPNsuW+/vWvc91113VlRw31GcxKrtztln5eLCqm8xFeAHcf87lqj8PdxzweOR0QRuU5K8kDcMTyWSXGxGyfSodqYpjVI3HC1mr/VGmoCmB7v2ByXhFEOrM1UtpwaOUzU+h1LKWsFK7chqjxWjcIotbm1Cj0rBcv1NWhu4YsjkwFK6tpu0hpVnHFPjWDQlfPtF2WE39YEigEiplCRMHX16QXwhNng5IBCRAsKR465XPtXhc/0C3d8r6iGJRbrFkSokix5INfVHznkSJ7Ry0u3eEwmO3Rki6DYQ1pW5cVzOSNGneSyrOZVpdrOSeTThgKXa3T7+p3zORV6XXH0nPzWtnHjabLqbcX61nG0s7OjajL0PlKHj/StXZ+YHTZYOg2ldo8X4j4wREPP9AdEK7aI5vSZaPQ7VMvIFvP9GnUnaHy/53UZdD2WNrWvsmzgd6D8mvdpBVdFvGCQuhgbNYRSCGYL0RrWjWbtAtuJ8dBoX1ZUnYmed3ossFgMBgMhrUg1dPA9ddfzz/+4z+ye/du5ufnedvb3sZXv/rVZctMTk5y/PhxXvGKV3RlRw3pqczYm5wL+e4jBQ5NhSUjJpkHUz2TpR6m0Up7CNH4XCvKhv9q6/EjwfXnuWzrFwxl22/NlNbxm8z6qTQu014/7VJpF6bdpFI6AOmHClsoziyESFoL8LZKzqbtlpMKaCefVgoYzAgy8YeXteGcfgtLltdfDHQ7qySjVwHTSxHzhQhbgmMplCrP/0s+Az/S7xWAHyoOnw2543CR+YKpszcYqum0LhvaYzVdLi9IzZlxldI7nYen73XZv80i4+j7bthiQhFsPF2GdNqcjHYIIq0ZXhARRmv7jNkpXW7Vwy7Rx6u1Vf8ggQFX4tjl9RtdNhi6j9Hl3sOWcZCuzjlXKt3nUU+XKzWzGYImqi+rddmWa6Nzzepy4n9IdLngK/J+hEjx3k6SsynZpe0StSB1RpcNBoPBYDCsF6kqZQFe9rKX8bKXvazu78fHx7n33ns7slOG9kjm1E3O6TxNL9CVCUGoH3pVnEFaCIGgcWZikl3aqRlaG5nqCou0RCneE6rVWzhZQn+WC75iz4jNsamQflex6DXXKrlZBDqw54WqlB0qAdeGoIUKF4G+DtNmHFeS9jAT4wngzJJ+RRC3T2yzrVFaFn1w2+xQFKrWMn4F+nodyAhsKbBc3Sby+RdlkAKOTAV15+nZEqYWI779cIEwnmFceV0q9GdnCVCivL2cra/PQ1PBsgpBg8HQWV1OMLrcOqvpcvI7oWK9qrOwFDrId2oxYjArmVlSuFKR99WKubWdpJd0GdJdh4mWBREEHjx+tryxtbqWO6HL0NqID0vAWB/kA6HbN0tB3lcMZgTXn+/wnUeKRpcNhjWkE7pcfe8yutzeOajsRFGPUJXnrteini4XAt1pqps283B2pS6P5GBqae1nB6fZXFipy1XnMxkD1G0SXe7Ed6eV92dsPULA6LLBYDAYDIa1xvTN2IRIIbhqj4NbEXK3pGCkTzDaLxnMCCwpyVqrGwhJhrBr189a3Uq01Oou5XKrfRZeCJbQWZj7Ri3GhyxcS5YMmVZI8z7H0tdPztHbsgTk3HhmTQsbToyUtWYjOkmS09tKBrFr64Bssh5LwL8/UeT2w0Us6p+PYqCzehc9Pe+puoV2QkS55VSfIxBCMD5kcWCX0/zOGgybnE7qcoJjdLllmknwaaRXiQ5W6rIlBVKKVB0wapHmbVJoXdjouly5/Y1EEsRuBgUgJBlLYEmBQAeAZgsR33mkiGyQKGB02WDoPN3Q5cEs5Lb4120tAmut6HK/K1uuyEzZWINioMg5YpkuL3gCaTxuDenEs6wl9Z9mVzUQd5QyumwwGAwGg2GtMY+Im5BIKe457pdaMpVejwTb+iTjQxYKmC+mX+egC0NbPJlvrdoP1UMBYaQ4Pq1nIF24XbehFSJd++NauHbjm4BAG755XxHFLXn0fuhWuN3MNu40VtyWSFA+5m7fAGvNI0yLG7fwcq3mz7MQOvNXAV6o8MKIhaLi7JLizIJifpVKqlrbE/FfSYA3aR8WAUu+wrEUV+1xkCZKZDCsoBu6bGF0uVL71uvOs1hcrsuuHd9/W9RHS+rnjXoItPNvrrDxdTkJbm4UXU7aOjqxLjdzzVlSty5UaM0ExUJRUQwg78PCKqXVRpcNhs7SCV1eUT0n2m+RvpFJOvWUfl6nW08tXQ6VImjx/p9GlxVQDGHJW67LrqXw29Cd9SA53kRTuv0xekHrwXyJvub6nea/e46VzI81umwwGAwGg2Ht2cJmw+bl4IRfasUELMsAPjkX4VgCP1SrtqQRaMdixhEseDDbhLN4syHRhlXGhtFse5WpmTZa5y36OvO36Cv+/Yki00sRRb/19kJ+2LgNX6l1tVLkPaVn6ij9vmaCB63gWjow2S7JnJjhrGQ4KxnI6ONyJYz0iY60MuwGXqQ/11ZbbSUzmRy5PIO31fZZyQzGjA22FV9z8br8CGYLcM9xn2gjRQQMhjWiU7psxd/ppN39VtflxAGcc9prS9uOE13rotblOw575H3FfEG17GBM7vv1SNZrSTasLoO+hm0JY32SwSpdbuc5qZsksueHzY+zsAVkbBE77BXFQJVaGrZ6rRhdNhhap5O67FrQ50I+gLktrMuOXD6jc99Ia+upTNRphXq63KoNlFaXRbLsGuqyoHOJAKJCl/tdfSyW0C2Ys6mHnjVPOwoVofdzrghZq7l1RaHRZYPBYDAYDOuHCcpuQvaP2SXDcnzI4gUXZxkf0h4ux9YZnFZF9iOsrLS0hX6Q3DdmkbMF4Tq2tVtvBOUHfkeCbcuG2bKN0JWL6Zat3oSI35sPwLYES76ejRPRuuGQJpgbKb1dP96QqnhfctkIVgaqW63eTd4rBVgdcMwqdPBi0YvwQsWSHwebBahItVU1022SfW/2840UzBcVKlIIIRhwdDZwW/uiyk4JPyj/jIpnGUrFE2cDbj9U5L4nvZKxGSnFfU96zBe28E3EsOVpRZerb6EC7TQe6xMMZsWGqojsNFJo7QvjasWcI9py6vlt3J7CqKzLQaSrLNqZHZdGlwXa2dusLtd6LS2VutyJ+o7EcT2bjzaULkPt+XKrkQ90S0QhdAtD1xL0t9m90OiywdA6ndTlS3fY7Bu1W67E3AxIoRNKg7h98GAGJhda0wtFOWm4lfevhy4DkARv11CXReyz6QgqTvjLR8wX9THYUr9eXKVqdL1RNJ+oGAJnF4wuGwwGg8FgWB9MUHYTMpiV3LAvw94xi6v3OlhScPVeh52DkiBSnF2KsIQgV9H2sNrYCBVEEZxZiDhnULRcibkZUBX/5gM4sxgRRK1/eZqw68qVQPHPSkEUKUZzAtFCsC4N1YZhZfZvEmhNKmgrO+9U70s718xwFvpdQTHojPNXxcbkfEEHsi2hndkzhQ6svEexBIj4AxrOWW1/h0vXn1rukM44cN6oRTEEP1AcnQ45fDbg7mM+YaS4+5jPsamQOw4XjaFp2LKk1eX+rMAW5VZ4lSig4Ot72fiQ3NK6XHnsQsB0XrcHrKfLdge7xNWq4El0uRAnS3WbVnW5lWBiQsaCrBPrsmj/nCaa4oWs0OVNe2mr8ky5oaxkaZVRAilWZ3TZYGiRerq8d8xiwBEcnw2RQjCQFaU5sfV0+dhMyFPPtVueWboZqNRlKfS9vOCXbdlapJGRNHpQS5f9UHH5uMV8cW10OdmRtdRlpWAoK4iiDtnLbCxdruezaAYpjS4bDAaDwWBYH7aw6bC5GcxKrtztluZVLBYV0/mIIEC3ZkFXWdR7gE+yO2fyisdOh21ll/YKtSpPmyVpJZtk8NbKdu3UlyrZRmW2MOh5NQ+fDsl3KWM1MSArEegs3EpHMJQN8E5fHvMFCCKFFI3X3ew4luQ6jlTt1oO9MN1FAAMu7B/TTqDKfbKldoyv5vSRccYvgCLixGzYMYeEJeLZvHFrpqwtWfJ1RW7SpqkYwORcyHcfKZRaw3kBHJrq8TRrg6GLpNFlq8KRVwsFzBYUjxtdLpFGlzsZwK7WZKjQ5Tadec2w1rpcDGChoHQ1q9IVJvX2qxXCOrrcC9hCa+/eIYwuGwybiGpdlkKwf8xmthgRhIolTzE+2PjLrdD28t/fW+j5Kv80dFqX652SJOG4U8HE6ttpEMH3HvPXdJ7rWuuyQutysMqKN6Mug26rvHe4PP+2siJ5KLN6y2UJDLhGlw0Gg8FgMKwPJii7RTg0FeAFYEmBI8FL6c1dbYZKt+hGcKz6MGwJN1/S3oCUWtmua3W6umUgJRm9STslK25ZGMYzTpMKruT/1e/tBIGKs6trrLDypVbbd9bLSl5vozMJyCx4MDmvcC1RcvRaotxG6sIxSdYuZ2Nbcvl5GXB0lWwYKWbyrbfmzNiQsyHrJPPwtIErhZ7bI4RAKcVMXuFaCgEMZgS52PHsVdiU40MWB3a12RPKYNhE1NLlvKdSOSnbabfbKkaXm992JxGsry4n7aKTg6ynv+2cg/XW4FpkbH3sxRBOzIMtjS4bDJuZQ1MBUSTodwVCwPGZEC9F5x4/7GwCUBrWQpcFMJprb1u1TkvU4HcbhVZ1uZMEClTU+DxuNl0GPVJqtgDHZvXPQpT9BlLo55UXXuRgywa67BpdNhgMBoPBsH6YoOwmYL4QNZxJMV+IUAp2xpm+icHgSP1wKoWeh+Na8WwS9IOlLdfvQbyyYqhbDGQEPzwe4ZhvwQoqW+5EcQue5FoBcKVuY1g5pzRxTnYKP1qZECCg1EJsM1I5Pzbvw0JFy60kW7kQwok5RcbWjmEh4ht5xfdlKQDHUhQbVMOnwQ/1vUEg6HchawsKgW5rVYir++YKimKgmC/oz0zv1/IrwbXhqj1OqRLBYNjstKrLdnyfzdj6XpfoMujvsrPOupzsR7cwulwfRWu63MnPS7GyQ0XisN+sFINyoCVSRpcNho1MI21Ofnf5uM34kLVMe5OZ2rasrcvrxVrosmVpm8Tp0DzxzUSlLoer6HJ18Laj+7HFdBm0tiXaHMQ+g+TnME7u/t7jAf2u0WWDwWAwGAy9SXvlCIZ1Z74QccfhIl4AfqAf5O457jM5F3JyLuSpuxzun/DxAtgxKHEsnaXnR+CjDQdHCHK2npcaRooI/RCZVEuulwM4yWhstxWURB9LZXGwFNqxFqFKRlKnjzMxuFrJmrao3+6p29SqMlJoY8e19OdhWYKMDQtFfZxDmfj66WC3nXrnzQu1QVtd7C3F2meoV9KNa6j6GCOlM3Aliryvt+fEs3AKQfk1KWDnoM1Yn+KJswGEK9eVBgEselBdu5e0sqqulFKRnrnsWoK+iuC5F8A9x32u3msMTcPmpx1dDoCBDNhSEkaqpMsJoVpfXQY9v2y+oNqqPt2IumwLVm0RuFak1WWFYLbQ2Z0OqypyEp2o/LzW+xpNSNpjdnJfqtdldNlg2Bg00uYTMyGgiCKBH8BTd9scnvL1bE101Vsh1K1OCzV0eb3phC7Dynu3FPqe4scvJl0COtlFqx1d7jUa6bIQsH9M4tiSh092tj1t9X1/NV1eb5u5W1QeUoTRZYPBYDAYDL2NqUXY4CTtD6H2TIr7JnzyvmLJVxw6G3B2UeGH2qkWRroCwA/17wdcnQEM+oG02vHWbeyqqzFSOvhW/XqzJJUdg275MVmpivkuqvMZq8l6W22v22sMZ3T7naSCOWPpayc5tzoLtHvbd2S5gqzSoHQtXVHW7jXSCdbio7Zi50jWlTzjPJecI+hzBLuGbV5xZY6xPknGhrF+yQXbba45z+WiHVZL17drwXBO0J8R2rGtFOcOSZ5yjr1ifUkABQFRpJcFnfGbMDkXcnBiDQcuGgzrRBpd9gIIlOLR0wFnYl2O4kz/uQJM5yOWfN3mLBN/j5IKyfXUZUtoR2OmzZS+9dTlVh2Rq80MXWvS6HKnA7Kw3MFrS32fD+PPSwgdvHArdLnbXU8aEdH974sVd51RQnDlLsfossHQozTS5oWiYqEIodLBma8fLFAIAKWr2hY9rc9LnkIphRt3JFgPXa6+p7ary5WrsyQMZipeq9LibnTRakeXe0yWcWRjXT4xG3FyNujq9ZJ0QKuny8mM016hpFUdXqdrGV02GAwGg8HQ2/TQI5mhFQ7scvADljl8E8aHLJ6yXfLtR4olwzKZsQFloypp+dLnqGVt6dbSwHQk2JZAKFXKxhWi3BIqatJgq8wGTbJWk6zI5LVQ6YrUxKDuNO2sci2rZFer/tk3CrmMDZHi8HREzgXiKmZH6ZY9hZQBWYE29he88jlPU8ki4xkwfhgvGLcgsqSex7KtTzJXCDm5sP5R8G5WCAn092KhGHFmKeKZ+1xOLmi3c8GHn7giy8EJn/1jNoNZSaQUJ+dU01m/Au0k2TFo4dowt6Q4uRCx4CuescvhzGLImYVyPrAVB82DKDb+HcFYvyTnQhDCybkIxyZu2xQxmO01N4rB0DlW0+Wn7bH54RGfx88Ey+aOJSRzO4NI3/OGssv1a62oq8tC/9xspcVG1+XiGgqzpPEc3E7qMpTHDzSjy4o4GKnK938LPTutzxFEkcKxBAvFiEKwvpWz3dRlN25nmg8UD50OuGq3w7ynz57RZYOhd2ikzfu3WXiB4shUqG2iKps5Qr+W6IC9TskmUoBtgQr0PiXJMSrS3/2kQrMZKm9FQQR5r/xa0j0rSbLxujA3t3p1zdyv12pefBoGXTh31EaoOroc6WsurTbX1GWxesJ3n6OfrSyp/QkrdNkWCCK8oDeqvKHz+py1jS4bDAaDwWDofTaU0k9PT3PLLbcwPDzM8PAwt9xyCzMzMw3fo5TiN3/zN9m9eze5XI6bbrqJBx54YNkyxWKR//pf/yvbt2+nv7+fl7/85Rw/frz0+8OHD/PWt76V/fv3k8vluPDCC/mN3/gNPM9bth4hxIo/n/nMZzp2/LWQQnDVHmdZhh2UZ1IcmYnIWKKUVdvoYXMq35wTr1MI9MNpwVfLgoNhBPOeNgCbrTittXitwGOtYG+fo51snSap6Oy1L51jw7W76//+yDScng/ZO2ozkhOESrHoKRyh6HNF0075uSKlQETi+F2NYmzEJvN6lNLXR8HX81muPc9hW7/VkczfdvwsSdC0WwSxUV/w4bHTAfc+6XN8OuDI2ZA7DhdZLCqu3O2WjLgfHfOYK0RIYkdOjcrz6t1Nsqgj9DYmZiPmi4o+R+D5ijsOe4ShNnaFWF697FiCc4ctdg1K5gshJ6Z1uf2eEYtBV3JqTreOS+ZqGgybkdV02ZbaAZPMcG90DwwVTOfXPqBldHl9cWx4+rn1xaSTuiwpayvo87xaQDahGOggRRAnTCW6vORFZF3B9gFJ1i6Pw1gvuvn9yQcwW9SB8MWi4p4TRpcNhl6kkTZfvcelL6O/ecnXMbGZa9271qOVfbIfXlAORiYJToVQ34v9DiQP1Tq2pMNWpbYIYKyv/e1Vk3V6q5IzwRKwc6D+7xc8OLNQX5dR6YPIdXU5xXW34On3evV0uV8ShLqtcru63Ilnp258lfKB9jd4Fbq8WIh45FTIvz1RMLpsMBgMBoOhJ+g1P1RD3vCGN3DPPffwzW9+k29+85vcc8893HLLLQ3f8/GPf5xPfOITfPKTn+SHP/wh4+PjvPjFL2Z+fr60zHve8x6++tWv8qUvfYl/+7d/Y2FhgZ/6qZ8iDLVl89BDDxFFEX/yJ3/CAw88wO///u/zmc98hl/91V9dsb3Pf/7zTExMlP686U1v6uxJqCJSinuO+8uyfaE8k+LSnRZCitLcjErHmGR9nWTJ9lXVn4Tk51C19sCe5tiq1ysFPOUcmwvPsTpybpI2NX029LuSoaxAyvVt51dNwYcfPVn/9wqYyStOLUZcsctmydMtd/IBLBRUU59NpWlR+ryFroRNS5I1nLx/yVd87f48T5wNUB2wXZLvSqusxYyexDA/vRBxdkmxUFTkPcWhKX0jmC9E/PBokTMLEWEE0tJZw+ePWVhy+XdjxXcAbUAmrVTPLkaEsRfAtoTOog+008aOL3CJDhYDzBcV0wWFH+qtnJyPOLUQMrWkF/ACSvtpMGxGVtPlIIoIQrClWKHL0J1Wbmnpti6nubcaXdbBzv84Uf8Md0uXAbz4hcSJmIZQla8JhQ4OnJmPePR0wKJXXl87SLG+z6yrkZzzRU/V1GWAydmAo1Ohriq2YKxPMNInVhyb0WWDofM00ua7j3v4gcKKv4yV2qxYX32QlB02tVolVyZcd1OXq9edsWHPiM2g28JGq6jU5Zwj6XcFdo/pcqjg5EL93ytguoEuN1OF2QldTva5li4HoSKMOpBIXCN42Suoin8LgeLQVEghUEwvKh46VW4P3KouR5E+dqPLBoPBYDAYWqUH8xBr8+CDD/LNb36TO+64g+uvvx6AP/uzP+PGG2/k4Ycf5pJLLlnxHqUUf/AHf8CHPvQhfuZnfgaAL3zhC+zcuZO/+Zu/4R3veAezs7N87nOf46/+6q940YteBMBf//Vfs3fvXr797W/z0pe+lJtvvpmbb765tN4LLriAhx9+mE9/+tP83u/93rJtjoyMMD4+nvq4isUixWKx9PPc3Fz6kwIcnPBLbZhAZ/tWzss5uxTq2WxAJPQHHqEf0oXQmZdetDaBpEoSQ8uPmq+2SctqqxWUsxaT+bWjfaK0T4kx3ujcJNWe9RKTk7d6EWSBpTh7tZdmzabZFUvCZTttvvNwEeLWScmMnHaprJhNE1N1LW38RBXWVrOtPWtVp1W+1ur3YS0/1krjPlBQDBXnj1rMF3R27UxeoRT0ZQSLRYUHHJ0OdbvJBuv1IrBUqUs0KD1ra7QPbtif4YdHPKJIVxxkbIEQum1aMVQ4lr4HPeN8l8dOh3Xbtx7Y5XT+hBgMHaLruvxIiB9AnyuYL6hSq9rkO52x9Hd6Pea6d1uX09xbk5Z9Kr4JjeSa02XQ7fp6XZebbf9cTbd12Wpi/2rpckj5nKbtilFJdQvntX5ObYXKXazUZdDJUrcd9igESldnC0He185itUqSg9Flw1anXV2Gxtp86Kx+PdHlxCiIBAil2/kLpe9za0lazWuHNOsuJXQL3T4ZpQNPi0VFPmi/RXyv6HJynC1vVvWOLsv4TbV0ed5r7TOrpcsbQZsrv7chcHohLFWhtqrLSWvvBIGuSLYtuH6vw48nAqPLhk1NJ3TZYDAYtjo9mtu2kttvv53h4eFSQBbghhtuYHh4mNtuu63mew4dOsTk5CQveclLSq9lMhme97znld7zox/9CN/3ly2ze/duDhw4UHe9ALOzs4yNja14/b/8l//C9u3bue666/jMZz5DFDW23j760Y+W2jEPDw+zd+/ehstXs3/MLrVhGh+yeMHFWcaHtAPIteHALptioIgoz79JHL+hWruA7IC7PJMyyc50rO5vux4K6IuzeyV6f/xQcehMwKGpsDQnpF4SqaCc+bgaQQSzhYiwKsU5MbAqSZMp0UxWarKNdrKNszZ879EiQai0Y6JDpVzJqRjIQiaF3ZE4JlyrfA6SDOA0uyNIZrjEbYeq9qWHErKbItnvO494PHTKJ+8plNJnZqmoDcukDVYah1JlyzYRB0hmlhQPTgQ843yXfdttXnRJhvPGLF56WYbzttm8+JIs+7bZ3LAvw3DOati+VXazx7PB0Cbd1uUrdzk4Nix5qlTxUJlkUQj197Tb0lytC72gy1BOmMpYWpvn8oonUuoygNMNXU6xvtUWqf591m6vwsSR3dFl0OsZyLLiHl6LJIguRLnqprqqKpGdRrtnxRVApYqwZve5x6jU5flCxEOn/NJnpedFK5Z8fe2lCTwYXTZsZdrVZWiszQMZQX+mrMuCclBQUdblbmOJKudMvP3qLjdrTVKhmVTs6/moiuOzYen+1Wj/JOns0GZ02RHpdLeZ85aMNGj1XGe6ZC8DTekyxNdMDV0W8bqqdbrmOhrocjtdpdYTKWGxCHccLnLfk15bupwgKD/P5X3FHYd8rthlG102bGo6ocsGg8Gw1dkwQdnJyUl27Nix4vUdO3YwOTlZ9z0AO3fuXPb6zp07S7+bnJzEdV1GR0frLlPN448/zv/6X/+Ld77zncte/+3f/m3+9//+33z729/m9a9/Pe9///v5yEc+0vC4fuVXfoXZ2dnSn2PHjjVcvprBrOSGfRn2jllcvdfBkoKr9zrsHbO4YV+GM4v6QbP0sFllUHYqIJs4UWuRVIPkqmaXRCqeQ7aOzMfzTSMSQ1BntHoBJUO43ilSgK8az+mtJIy0E9a1ywaSzpQUy87Lao1qnHj+nS3TOYoV+hjbaQO1UISirxBCkHNEyTGe0KrJkBiL8/F5X42kekoKfT4rt1/ZZsiVegZh1tavW6K8TNaG/owstQ7tNPXW6XTRrlLoa7bg6wCsFyqKoXacJJ9/4lgaygrGcuX3NtqtKF53FOmqn2MzAUemQw7scjgyHbJ/zMaWkit3uwzlrNJ8ntXat0a9VCpuMFTRbV0eH7YZ7dO1g7V0uZPU+34nrRlXJKesEvBcCwJVnpEXqrjiMKUuQ/O67FopdHmV9eUc/b5Gs1OrV7HkQ9Zq/XwveLDkRXV1uZ0H/GZ0OYo/EFmj7MYS+pnFFtpB7Fpam3VFStlh7lr6946l5+mu2J82jqURa6XLD5/0mVrU7RGjKA74xNXfkdKO/NEmdTlJtjo0FXB4Klg2Hy/vYXTZsKloV5ehsTY/+4IM5wzoEtAgKreL7Qb1vt+W1N9vEd83Syh931zPb2gU32/ygX5miZSuEkyry5XdQFYjrS77q1QyWkKvo5mAdiHQCWGtsuT3hi6Dfo6SsOIkSaHtZNcqB9oTmzk5T2l0uVuSUWueayeJIshYiryvmJxrrMtjfcvPScP1Kkq295KvuP9J3+iyYVPTCV02GAyGrc66ty/+zd/8TX7rt36r4TI//OEPARA1ssWUUjVfr6T692neU2+ZJ598kptvvpnXvOY1vO1tb1v2u1/7tV8r/f+qq64C4MMf/vCy16vJZDJkMpmG+7Iag1kdFEmQQpR+3j9mc3IupBiCEAqxigGzGtU+t+RnKWobW0kgzJKCJU8vIAQMZQQLXnPzVdaKZJe6ES/OB7C9X88ZmS8q+l0JKnbMp9xgpPQ5HHR1+6E0H6hCGwqtEiptYPQ5umVedbZ4u9fUgKsD5Gn3pbIVlKBscA+4+jiHc4Ib9mU4PBVQ9BVnliKu2m1zcDKkzxUcnQrpdwVCCKJILTs32bidWSv+GEH9RAe/y9d6qHR27vRSiB9qo9Kr2qZAL6OUdvgk1bONSH4vlHZwnDdicfcx3QLu5FzIDfsyJYMzYbX2rQcnWHbPMhh6iW7rMsClOxyOTYcUOyCC9XQZat+bZVz50O8KFituEm4cVPTWOVmqHoru6PKSr3VZ0bouFwJ9T81Y+j1pP9YFf/VlGjFfhOFMxIK/PFEJ2qs0TfR0KWCFs7AahXbSJxWzyfsTXR7MCCIFjiXYPSLZN2bzyEmfqXzEgCtxbDizEDGTV/Q7Ai+E4SzMFlRpXZk2dLkRa6XLZ5dCphf1DL/q05lULuX95nS5ZKGIuNVnpJ279bTZ6LJhI9MJXYbG2lypyzVyTJqiuj19Gl1OkqSCeEZlch+1hE7C6UGTuad1OUK3o9bdg7aWLoP+bCq7rlTqcr+rdXmoTV1u5nknLaHSs4W7NcJDX1OQsbUmR2pl4l2SZLDklRPuGp1zxfL91c8+0uiyYVPTKV02GAyGrcy6V8r+l//yX3jwwQcb/jlw4ADj4+OcPHlyxftPnz69ohI2IZntWl3xeurUqdJ7xsfH8TyP6enpusskPPnkkzz/+c/nxhtv5E//9E9XPbYbbriBubm5mvu9ViRZwRfvsLjoHBurzU88qTR0Lf0wLim3eKq1rBPPr8zHni9L6Flvi54qZSVuJRwL/FAw2mcxmhNESmFbghdf7Kau2gyVfvCfKazeSquT5zdUMFdUK6q62tmGUjrYVwhEUy0zK8+VENCfEVhSUAz1/MFn7s8ynLO4YJvDbEGhIsHEnJ7dMjkbEsZB8SQIkeBI6HMEWae1quI0xmM3r3k/hNMLKz+jhFDFlTtBbKg3Ye2KOLnih0e9ZbNvDk2ttFJXa9+6f2zd84EMhnVlMCt50cUZtvfLtisCFNqZO5zR1XaN7jECGIgrFQu+IlJx5wWh7wleuPYz3NYbKbXDux1dVnHVUDFI56BsZ5xANbNF3XWkOjDfDokup+nGkVBPl5d8RdaBZ1+Y4WnnZpBCMFNQBKEg60gu3uGw5KllulwMyutLdLmbbbXXQpe9Bg7mQgu6rNDXri31fLzvPlJoqM1Glw2GxlTqcsZu075BJ+nkbBjKpNPlpKoy0WVL6J+7Oee9V+mULs/lFV7KwOFm0OXqX1U+X3ZDl7tR0arQgedOfh7VhKqsufWSoIoVupxmpEil6W0JOLMYGV02GAwGg8HQkHUPym7fvp1LL7204Z9sNsuNN97I7Owsd955Z+m9P/jBD5idneWZz3xmzXXv37+f8fFxvvWtb5Ve8zyP73//+6X3XHvttTiOs2yZiYkJDh48uGy9J06c4KabbuKaa67h85//PFKufuruvvtustksIyMjzZ6WjjKYlTzt3AwXnWM3bMlT/fCbsZa/llQBhhEMufrhMqR+xq8ltFGVtL9JMhFDVX643Uo2Zp8jyMX9qKYWIwYyUmf8BhE/OBowmBHLWvAm1LrSbJnu3HXy/Po15il1wl4KFESRapj5XH0OqoOOXqCzoQFCJejP6P8/cTZgJq8IleLETMA3f1ygEGjDNFIwV1AUKuyjxGjvRuZvvWPpJGkqbJLjSirc07bpUnG1dL6itGh8yOLArpXDgFdr31pdWWswbEWGchY37nMbfgdF1f9tufweUvq90lo7V6hdiZG0ibWlbsvY75bvBUlbweT+sZV02ZbgSN1msJEup3ECp9VlKM9Gb5eozmfW7meY6HLaNolQX5eFEAxkJIemAiKlODQVUAy0npyYDfj2wwXy8XYSXS4GqqRlpeu0ixfmeutyZQVdM7ocxVVji8XVtdnossGwOoku2ykjf/V0WcX28oALi57R5WbopC5XVyw3YjPoctJ5IWGj6rJQ3Z8rn7TkTrMcqrm21mGkO4sZXTYYDAaDwdCIDZN+ddlll3HzzTfz9re/nT/5kz8B4Od//uf5qZ/6KS655JLScpdeeikf/ehH+U//6T8hhOA973kPH/nIR7jooou46KKL+MhHPkJfXx9veMMbABgeHuatb30r73//+9m2bRtjY2N84AMf4KlPfSovetGLAF0he9NNN3Heeefxe7/3e5w+fbq0vaQa9+tf/zqTk5PceOON5HI5/uVf/oUPfehD/PzP/3xPtHWYy4d855ECiw1a8iji1q2hNkpytm63G1UEsUA/4J/JN96eUmDZOkvUseJgXty7aSsZlpVkbMXOQYtT8xGuDY4tyFiCJR88L9JVx2JlNnSt89XNGYStYEvtHGxltxRxFniDZeqtN3FmCFTJCPb8iFsfLHDDfhc/UCilWCjohZN5iZWByWXbUTCV784Vagvoz+hWSEl7sk6SttVaxtb74kUw4ArGhyzOLgacWmj8PkW5dXSfozN4r9rjIOu0gl+tfavBsNVJo8siDtBU63KxSpcDBaeX6q8ncdRZltblJb+cGLVVNRkABfvGJKcXVENdjmokJFWft2bu6arJ5ZslaVMoW2xHnUaXG2070WUQDGQEM/mQE7MRiwXF08/XLUK9UOEH1Hw2rPx/76NkvwAA3jtJREFUqGA6r7pynQpgKLv+uiyArKO3X6nLpxcav18R3wNEOm02umwwNKaky17j5TKWvkcaXe4CKXU5TfVwM/byZtHlWr/fSLosgcFYlxXrWyXe70DWkdiWPi/ST1d53YzNbHTZYDAYDIaty4YJygJ88Ytf5N3vfjcveclLAHj5y1/OJz/5yWXLPPzww8zOzpZ+/qVf+iXy+Tzvete7mJ6e5vrrr+fWW29lcHCwtMzv//7vY9s2r33ta8nn87zwhS/kL/7iL7AsnRJ366238thjj/HYY4+xZ8+eZdtT8ZOi4zh86lOf4n3vex9RFHHBBRfw4Q9/mF/8xV/syrloljuOeCytMiMlCWpZQld1LsYPns0+EAu0wZE81PthnAXcRMXFZmQmD44VsHfMYf+YTX9GcPcxnxMzAUGoA4+OBNeFhbjaSQrd0mqhTpb1eqPQ18v2fsHpheYj7pYoz0arfms9Z6agwlhT2pHhxnP8crZuNTTnRXzzxwVdnWzDTKBXJuVK53q3EejjHMrqzOTzxwTTSyFTS41Pl0AbcRJ9TPWWHc6Us/BX+55KtLHXl4G9/RaupeczBaHAlbq9YiNcC3KONii9AO457nP13vqBWYPBUJ9e0OUg7M48uI1CoODodMhFOxwu2La2utzVys9KXW72vZSDBal1WWh9COM2m0qVZyKO9QsOnwEv0tU4M4WQKFSlNp3V1Fp/twKyI1mQUpZ0eTq/+ufixl1kVtPlYtzOOg0ZG0Zykst32TwwoR9YwkgylImYLTZ+rx4VIow2GwwdII0ug76/SbQu5wPwQmV0uUOk1eWco9vwJvdZJw54Fts4eb2ky9V6K2q8Vmu50uur6PKRs+CHisfPBkznA1QkdHKS0pWqlaylLg/HutyfUVgo5r3GQWyBTjZ24qTjuToJFYNuOVCapkI2Y8FQTnLd+S6Pngo4sxCScyXZKGKmsPrxG5vZYDAYDAbDagilttqUkt5mbm6O4eFhZmdnGRoa6th6Z/Mhtz5UXNZGpdbDPqL80C9E8xmjyToTQzPpoSOIjYJWD6DB9qC59TZTudDp/T1/1OJ5F2VLP4eR4ruPFMh7imIcVMw4gqv32Hz7YY+cDbYliaKI6UJz+5t8hq0YmM0cezZ2Jp6cj1Z9j6j4NymeTq6TxGBUxO2u61wvlgDHEvS5MJNXpaDuUE7gx62Xkm1k7HIr4mRb69UGTAevYSRn8eiZcNXPRYo4maGDnhkJ9Lk6G9+xYCgrCUPFYnz9rbY/Izk9Z6sywWLvmNW1jN5u3Q8NhmbYrLrsWvEYgjZuiNUa3Kpupm0x2A1dHnAFT9lhl+5jzehyGsdc9f7ThWOoJmvDSJ/k9EJEuMr1Iisqjqqvk7S6nLRudmR5Rluk9OtDWbFMq6t12YmTqjaCLifvSfOdSXutSmAgDuImzlqllE4oW+X6SqqfBrNrp81Glw29QLd1ueCrurpWqamW1JVw88XWbFGjy7VJq8vPudDlnx4oEEbQHwfAZgqqKdu3F3VZoLUhYvnnKGVndHm0TzJXiEoBbW1b64Blcl3C+unyUEZ/vrMFRX6VJInke2ilCMg3c61mbMhIyIflcV45G+aKq38/19pmNrps6AXMdWgwGAyaZu6HZlDBFmE4Z/HiSzPknHjeq1w5Q1YIkPGDfjLDpnqZ1VAV/4ZKGwp2vL00D8G2hOGswK64MvsdnWmYjWd5VNiuHWvxtK1fLJvB4ki9z2lY7RQ5slwtueRHzBe0JRYpxT3HfbwALCnoc3QlZTGAHxwJGHAFtiVRSqXK2q4m7TmvR9qP3g9htpAuSlAyICt+TgxnS5RnETcK4EcKgkgxU9FmWKFnqlU2UlJo4zJSeptJgLrd66XV/NZQwekFePzs6o5fgf4edjIgC9qYX/LjNs8BzBUiFjyVajtJQOimizKM9UuWfIVjw/4xm0gp7nvSK13bBoNhddZbl+tVKlZTS5cdqR2M2/pFaa5bO7n/tfajXV1utD/9dnk5L1Ts6JfxfjSny83qiRT6PtzquVrtuBKKAXiBSrVsopGV10mzuhzG1TfFcPl1FUZ6Fl1l0DepUlnmYE6xn92gWV1O3pOGtMeU6LIXQsFXREoRRjCbMsgTKX2fuHavU/ocXVsnARpdNhiaI9HlPlfgWizTPSg/CyfBnTDSVfMpR9CWaFeXkwSXnFN+JhDo6r6tpMvfecQjawkGXL3sotdcQBY6o8tpTkEzuqwAUceO74QuLxTVssBwUkEK5c9zPXV5rghTi+kCskmyYpoK6dS6LHTF+oKv/RxeqLcxW0z//TS6bDAYDAaDYTVMUHaLECnF46dD+hzJUEbgWoJ+t2xE2hIGM4KMoy3NJGPStZt3AFei0A+xaVoXS6ErKiwpyDqCC7ZJzhmQZB3JYEbQ5wqydtloatYArtynFa8p2L+t/HUIItg5IMk56dbZaFeU0rPCBjOCKBIcmtIn4+CEz+Rc2YKQUrHkK5a8iJl8pP/vKwrh6lWMtUiqUkrrb+J8NRPsrjTkWtkvgKwtGMxKHEus2vpLUc4STgwjgXZoFPway6INUNeOWwjHv5NCBxqavYzaMVIj0lW5uV26MwtR/j6r+K+MnbJyXICKFPec8Jkv6Aty0JX0ubqt2LGpkDsOF42haTCkZL11OamIaEQ9XR7KSi7c7rB7xMKxynPSZAfvXe3qckKtU5UPtfM662gH76lFfd9aC11WcRCtEifl55lWmxW6k0TaXjjt6nKSSIRaHrRMAryVb68MRtgS9o7KtnW5HdLqcjvfuUaI2MFeeWKyTkrHr4gd0kHE9x7zCEKFLeG6810eOx0aXTYYmiTR5awtGMxIBlxBxi4HFF0LMnb8WpxMlXNgrE90RZdrrTKpDOxzBbYUPO8pDgMZwXBO8JRzjC43S1ihy8sCzk3ocpo7bCu6XE2ndLkYqBW6lzxfRJGetV4K7K+DLoeKVUfqgB5B0I2ef4kkl56NVJVOr/Z+o8sGg8FgMBhSYIKyW4RKg8aSgpGcrvYYdLVTzLHAjp2u+oFfcME2m5GcxLXbewwPU1ZBRAryvmLJU+R9xcn5iKt22+wds3jmfpeMI8hYQOzAEqL5C1hU/Qt6HdN5xbHpaFn2czFQ3HxZjj0jy9+fsRqvuxol9G8tKRjrlxT8iHtPeOwbtXBsWPQiQqWWtSOSlAOPfclxx1hCOwUq6bNXOnmrq0+Sagop6u9rqyi1MugrgPjjWvF6cp5dC7YPCJ5/kYtAIYRK7XBO1pH8qWzxVI9CoEr70O8KioFa1fnRbZLzUYnXAQMza+s2S5XbkUI7cZJrIIhgcZV5dXomjn6vFyp8X+GFeodPL4Z895FC6d7iBZSSDgwGQ2M2ui5fvdfhwm0OIzmhO0LEu9SsxtSqnumkLtca36UUyLji5pxBq21dHs7oe+5qx5U4PaudiKqF55nVUErvQOU+CGon/dTS5Zc/NctQRhBEq+uyqlpHJY2Ci0LBkemotA8jOa3L1fu2HlRfN0l1bzvU0+WcIxBx0kWo0unycFYHgSwBvtL3jGS25Q+PeEaXDYYWqA4A5lxBvysZysRBTqnv/32uJGsLBjKCPSMOL7o0S87tvC7XTCRG39/nCzoY+YMjPjee77Bvm210uQVdhnLwrfLRai11OWPVtpdlxee3vX9tdFmhq06TKnFbaPu58jPrFV2erzM/thkGHH2speSweDv9TsX3RujK2UaJcRKd6OxIo8sGg8FgMBjSYYKyW4T9YzZubJiMD1m84OIs40MWtiXZ3q+zgUE/ePY5omTEFAM9x6Ub2HJlIC+IwI+3t+TDPScCrtztMpSzeOouhxDBQFxJpOKWPdk6Rl8tEoejJWEspx2AEdpI8uOERUXSGkjx8Emfoi9L+6nQy1VmQytgILP8QCqPS6m4sknC9FLA46dDHj4Z8PCpgH5HEMTt/WbyioytZ4oNZYU2TF2BUoI9I1apnVCt81YMtTOvksQYq3UOahnDzVKq7qDcfitZP8QzUa2yQSMoG3gq/v1Yn+SZ+1y++6jHzJKiGKxejVIyMEU5CzzNFeoF5Ypex9JtAgs9YA8lToVlLdLqfXhNrjfrCHKObjuasfW8JS9QJWdGqBpndwv0td3nagPej2De0+0VvVCxWFTL5mGOD1kc2NVkurzBsEXZ6Losha7YuHK3i20J+hwdZGu2Ha0gCUB3Xpcr56pXH1ekFLJNXbalvn/Xat+YnIMVt/Kq4J4QZUdtu6zQ5Wi5nCQJbdYquvziS7P88IjH8ZmwVE3TaPdsqR3YiS6nrRgrhOV5eFJoXV6v+bIrUHpWZMWPnVhlbV0Oy4lSQbS6Lu8ZFoSRdpKHcTACMLpsMLRJs7qccwRXnmtz7wkfL+jsnavUlrjG/TSp7gTdPvn2Iz77x2yjyyl1uV7L5cqPMIzoWPRRrKLLWZtSNzBBuUVx8nPGht0jFmfmQ45Od1eXQdvMiS75kQ5IVj52rpdGVyeBB1H7leD5QHelyTq62jznogPfSjsYIuJ5vDQ+7uT7YnTZYDAYDAZDWkxQdoswmJXcsC9Tqm6xpODqvQ57RiWDWWvZXBGA2QIcOhuS91Xq+VmrYUtdISAqfh7tWx6MEugMwyhKMnD1DNb5QsTdJ3zCSOHY2jmdZCsWmmhVFKGNoVDBfBEKVSWJiYE76Op5JoemQhTRsnk9SWZwgiN1JVFlNmuybPKvF8B8UTGTT4JbisdOBxydDkuGmVJ6Gd0CSpBz9MzPwYxgIKtbW1pSG4xBuPzLm7QQXi0TNtl3KWpn5VYvu5r9lmQWV2ZgK3RWrWvrVpxJADUxOpP2jZHS1ar/fshjyVOE8ZtrXW+i4pwmxpcltMM0uQ5q7W8pQ7zqXPghK675WhXIq1EKEDf3thUkjo3K9bTanjuhGMCSrwOwifNICNFUa2qFdoDMLpVbq00tRhR9pc8p5UC3a8NVexxkJyL+BsMWoF1d7sQ3rR1dBpicDbjtsIdr6QqXZu4vCd3S5SAq39NlHPisdIIGEUwvRW3p8nBWknEEs0Wty9U6VOt8KJYH3ZJ9r9bSeqyFLt99zOOJsyGBKj9r1PtcnYo58RIYyTW+Bio1s/LYk+eYymeAtOekkqTKpaGzOu0KO/Q9S6inyzm73CoxxS5xdEZR8MuVdbN5ZXTZYOgAzeqyF8B3Hi5y6GzYcXs5iu+/loBtNXQ5QQIWqtQStVO6nNhKm1GXw2ilzVfr/ptWgyzqj55J9rmRLru2nmGc3Kptq0Kb0cexd0Tyvce9kt42+lxX0+Xq45FCvwf09Zaci+Q9tfwJzTgRO6XLtWz9dkcLhEr7cXKOIAghY5V1uZkHgGIIeU9fw0aXDQaDwWAwpMEEZbcQSeZs8hAohX7onFosW5hJdnDG0pU4SildWdqB58Yg0tmIyXN9MYDZJe3oTUiyMYXQhp5SkkNTAQ+f9JlZivBCWCwqlvzWszST7GI/qh/QnSlqY9S1IVKSoZw2VmRsDSSG1XAGnnKOzWifzg4uze8R5YpcK66GyDm61ZyIrdRAlY0cS8ZViwpmC4oIxWxBz3s5MRuyY0CyZ9jSX9jYKu13VwbxGjpCK/4No9jYb2AgVWbxrliXKBtGUlA6rmT5JJt6tF/PNRLxvi165X1UwOGzITN5tex9ldsUaKO0MmNYKXCkYCAjteETH8egq43Yyvf2uTpwK2Rs+FplI7a6EiXJIk9zrVca1M1mn9dE6Yzkih9XOH5awQt0y6lQaUewYymytqDSD1HvcJPrWVUtZMlyxrAjdZVAsq17jvtE3RjuYzBsUtrR5XYTN6C2Lk8vLb//1NPl+ULEbYe9uL1x+V7TCml1OVl9EIlVdXkkpysfnPg+JoSu9snauoW7BPoz7eny+JBVSnAKKVdJpPW1VepyEkxt1tlZWlcHdfnR02FdXQZ9buy48kZKEKVzpq9fO962xcpAQp+rW+InlTuJLsPKpKxEk6Wsr1WV6y5p8yq6nKagTaC/G9X70y61dFkIwUCKohmjywZD92lGlwG8QC2ramyXSl1Okpam8/o+W1p/YvMpbefYlsQL4KFTfsd0ObGXNqsu+1XHVCvImVaXhag/A7Uy6aqeLg/lJIGK9VKAH8BChTb7Efyfh7xlPpNqmtLlKt+OJeGVV2bpd/XO2WJllXM19irJ3Qmd1uXqALHXRHJ+PfwQZvOR/t74+jk746TT5eT6SLQ52T2jywaDwWAwGFbDBGW3OPXaNFlSMNKn59ftHpQlZ2wnc/oUsaFV8ZpQxDNYYdGHAVc/xNuW0g+7kW7TVM/A7OQFred6KaIoYqEYb7PCgypEnA2pFFGkjUjXEvRnRKmCciwneM6FLq4lQClG+yQDbtkBnRh7QcVJCCOYWVIlp3gQwX1P+uQyOhCbBOzmK4y1WkZKLRIjOclGXm2uYC3bL2tDbFdgS9i3zWJbv4gzsikZ1Rkbjk6F+EGcIVzj4gkpZ1snVB6TJcG2RMlwT1owiTg669q6BaAjQVq6rVjGLi+XtFtyJAxkRcMgRtKeKI0zvZNmlGuVr/mOm2fxeiOlvzdzBRgfFCVDut6h2lI7SYSKHSSuQFL+fiXVU32uIFPhmJqcCzk44Xf6KAyGLUVTupyp34avFRTlyozSaxU/L/owmhOcP2px++EijlA4UjulC2vw1S8GelsLBcV8obEuewFYQmtyJg5i533F/m2SC86xGMpKLGhLl6342YSKoHJUy7PbgMRZmyRWRTRuX1tr1d3Q5eQ8VG9TADlblAKDQQROXG2dc7Rz04kdvv0ZGMq2rstQDgqvdkrrJVw1i4yPY610eSavOKdfO/SrO61UYnTZYFg/6uky6Lmzz9rvMtoncS2dQNVs551GJLrsq3IgM6m8VGhdDsKIsT7J9FJkdDmlLq92b68ckbOaLlcHFAVal5PqWSFW1+WiH7fjFbX3LYrq2/rN6vJgRuJYopT03OcIvvuorq52LV1xXD0Wadn2ks+0wTlJ6IQuC3S1uJRd0GQqnn0Te7moePaFDo4jlyXP1dqvnENctR0nm2F02WAwGAwGQzpMUHaLM5iVPHWXg2PD0/bYWFLwtD02jg1Xn+tyyU6HRV9hS1gK0lUrtEOEDrwqpR/2j89GHDkbEESC88esmg/1our9q5EE+9IcRxDpTFUv0A/rYTxQJDHulgJ47EzIUjwnZCQnsGNjUwjBtgGLH08GBBFY8Wyf2UJ5/UmAtdrIqvxRSr3MIycDZgu1M01rGSi1gm5JANOxBKN9YlkFi9Ng3oyI39vvxs4GG/aPSp5yjo0r9TFlYkMuqVhd9JQ2cBLHpqrInq6gOjCsKv5VCnb2l2cpurZgOCtQSleYZG04d9giVLBQVESRot+VDLj62PQsRBCivI56n7sUMJQV9DllJ7ElYMit84YOIShXVXeaSoct6HN2eDoqnYR6sYMo0hnoCG1IFoOyQ0IpnTwRoY3ymy7KlBxTrq0dVwaDoXWa0WU/1PfVTuhyo3UkjtEwgifnIm47VMQLQFpSt1nswLbT6nKo9B8vXF2XQ6Vb0vW7Mp5lJ1AI5vJKV2F2QJenllZWIjVyGi6bOU9cgZwRjPRJBrNiWQu/RqMG1kKXK/W4ElsqMrHD1rUE/a7AloJ8rMvnDOhfLvlsOF2O0BqY6HLHOwyqcptI0A7gQ1NR6ZknXmTlfhldNhjWjUa6/NRdDuPDNs/a72Jb5aTXTnSZqrmK+AaR6HIQJ+pO58OO6nKy/a2gy9XHmOhrs7oM+h68Y1By7rCFJXXAbv+Y1XF7uZpmdbnP1bN4h7J6rvlMPqIQ6ADtatrsWjoxKPm9pLu6rNBttPud5kcapFq/Wt61I4jga/cVCcOo7nMQxB01fJ2YkHSwUcLossFgMBgMhnSYoOwWZ74Qcf+Ejx/AvccDwkhx7/GAgqe47bDHvSeKzBa0MyiM/3QjQ7GSSkdgpPSMjsm5iOMznTAvyw/zI30ilbOtOhM0jHcwUjobMox0eyg/VFx3nqsrmoRgJKerGLx41utCUQfE0gRUl/1e6bmeXlg/iFaPykxthTYEh7M6eHz5Tod9oxbb+wUXbNPZ3bbQmb2ZKjtBCkoZtUuBboU070GE4tBUiBfqltIDGd1Cqy8u2SnNghXaOZHMx2mELSi1WFLAk/OKvaMW5wxIdg1JFj3d/lAIQagEJxciPZcNfa3sGrJ4+VNz7B21S0HJPcMWOwf1cBhZ566nFCx5uuL5BU9xGR+UbO8Hx5b0x9nGbtwGufqysaSuJE/TTrTaSRMpfW77nM7fkEO10ilTCLTx2CiQn7RLs6R2sIQVH1qktBPBtQQqUjx4MuDqvQ57xyxu2JdhMGtkxWBoh3q67Adw9/+fvT8Psuy87/v+z3O2u/T0PkvPYAazkMAMIAAESFHAUEpEkwRI/0zTS9VPUanClMoy5bItO0zocqKykyhKLJWyWP7D5ZIXlZRynMh2+aeymNg0N0uJTIKkKEDgiARAEDPADGafnl6m+y5neX5/POecu/TtdfpOd6Pfr6ohMT197z333HPv5z7b93mnrd97o6n5hlUtcO/P5irv581aN4vy/2+lVvda+SodazXfWvm7m+0w22wu9x/rXsrlsO8jsh64DrqHxj0dG/f13KlIk3VXaaMauL0FK35vGWDpweZysd9cUbFise0GBvdKLq+10mXQz611q46iQOXK1O1i1bvaS3LniFwGdq/1cvlrP2jqxbfairzOAOJ27DE76C76J7K6LHar7qXty2XJfd7sh1wuVq12G4k2n8vFCtlmO9P1RTcJth4aBYE2lcu1DZbN3Y5cfmg8UCXfKqjiu5XgLptXl2Tu+8dU3ejIAaNDB1wuj0WdQetasHIAtZiIvJFc7hfnA/7VsHcP3O1gtbIMciuV5poDf12SO+f53ANX5jvtTKySyGUAALA+pmjtcxdnE7XzPbOuL6T66uupGm2re223P0srdiWAVtsnpeCb7Wl8Sp39YoqvqtZaNWKpGQ9+gM0+bNFIXGjY8rg3ex/dg2++cV+6K77R23OpnjkR6sI1NwNypGL00uVY1xdSVQK3R0xRii/IZ8EWjcfVdM84Nvljb/RcD2pgtFLJKtM3326rHho9NBHI962uzmdKrGT7GhWSe7xGbNXOy0Etttw1crfRKSsV+NKxsUBxavXmncTtHVcxWmpaVw5RrsG4nkcOu4+li3dSpZnVgYr08EQgY1LNLqWy1u2TZIxrfCep1JJ0YsLTRN3TDx0N9MfXY/3QTOD2LDLS8XFPL7+TaKwq3V5a/bHj1GquIV266x47tZ5acablvLO0mAneL/JdY3Tcz8rVzMWg8qBz2f/30JMWWuvPat/s699/W8nNJM+6JhoYuSCwntv3OLPuPBSzhiPfKKjY8nmFvtHBEU+LLVvO9PWM0VPHhrykGNgnBuVyO5HaaaZ7y50OuHZrY2Xrt4NnVO7fHXoqywouNO3AYyCXV9fqy+VmKrUbVnONVKNVo9v3Unny5PtSVa7CQWvA8TzIXJ6se3r+bEVfeq2luUYm30jnDoe608j2TC4b68o3pnbloGi/diYFmcrVqOvxtLlVaf2H6w/KZSMFQef7RJqJXAZ2yGq5nGZWcw2r2/fSckLrg8plI5X7k4a++yxoxFk5eNVvK4eVZHs3l31v/c/6wqBVtfNNaenm5nLZSmrGUssUf5PaqdVCK103l5dbbnVvIrcqdL1Dr4ZGf+bJ6n3n8iOHfIWBdHjE0+X5VJm1aqWuGstqY5Jp5q61SmDUaFlVAiNrrZppZ0L9oFy0kg5U3O/25/J6E/+tOpMQrXXlvNey3bkc+e4+4/zCnKwZJambRCBJByKjSkAuAwCAjWNQdp974mioOHENTMnNUm0mvfuzrNfRWA1cx9V6As99UV+rsep7bkVEK3YN3am6ZOVprtE7Y9bo/lcGpfnM3dBfOXi5mqJtmUmq5rWM3OxSo5kxX08cDVd84X76eKgvvppoueX2cWnE7su670mV0MjEtiz3tNaxVgNX4vBuYwut4lycuidRPJZbhZzKyxuu/XsJdj/nYuZ3+XOrnmnFgZFOT/u6OJvKGKN6RWq0bU8jfr3DrvjSMyfc9OC7jUwjkaf3TAf6zrVYcw03UFgLjeabdkUZ5+W21Y+9J9LLV1yj/sZCqudOVbTUyvS7b7SUZp0ZyN3nuvv5WbkBhzfvpLKSAmNd4yu32nvBvaZZeQ6llYOxq7HWlSTcSCeOyf8nMG511cIGOtMl9zJNj7gOhrSvhfr8o4FevpqpnWRajq1++OHQzeIOjV6+GstKGqsFOjxmdX3BzXBvplaHxzydOxwy0xfYZoNyObVWS8U+4nbwhI9C98q69dTCfOBpjc8fI5c9rbwDeqJm9CMnK/rSa80Nd3hKG+sgK3M5UNkBvp69mMvd32HitNjv3erusi0rJ7RSq+W260jdyVz2jfT8uUiBZ/TQuCfPSGcPBfrBnWTP5XIrHbwqZ9BdNOON5XJxwJvNZSP3Uvl5h3T3wP6pSWm0HqgdZ3rjdqbRqjQzFmi65pHLwA4YlMuSazMXbafmOpm10bbrRnJZ6rSZk7RTwn6uYTeVyxuRWqmST6bZ6OSjreaymxzuBi69zD3mgUhqJkaRbGd/2DWOtcjlxdbmzoXXl0OZleJs47ksdSapd38/20gut+LOZCppY9fJx86GCvzty2VJun0v1t1ld9Lq6/QSZrYzMa+Vb6rbfX2sdurnG9atMu3L5Y08543uYytp23P55KTRYzMVfe3NpuaaUmatfvyRqi5ci3V9IZPnGY3VfHIZAABsGIOy+5xnTNkIKhqYxZfkskHV9+23+4uzyf99I1+mN1L6OMukpZZbnWslLbWlVpL1dMBpA481iJ+vXOx+PladVS4b6Xyzco0938v3k8nrDUWBa0x6ffWdMmv1zUttzS3bcn8R37iVMUkmJZnVVN1TM7ZaaHUOYDsGnUO/M2vYyj1usXrTN67BauQ6+xeW7aqPt9qxFIMCxYqOSmB06W6qM9OBbi6mmmu4htpGz63kBsf/8HIs3xjFibQsq8vz7tqsBW7fnfnGyoaekVsl9JXXGopT9xq0Ezez/Z27qSspVBz0gOfRvQqslVrXQW614rpb79g3Ur540ONvdAC3mBHvmY2tbipkkm4tdQZ1ux/uy68nGqu4azK10itXEz1/tqqLs4kqea3l2aVMUeDen8VrUwkMDUxgCAblcitxHXtlVYp1PjMCX0rS9QdBm/EGSgJKWmjZcr8t3zP6ve831Yg39HRKq+0JX3TOFVljrds3zNp8ItEGjm/P5HLf5LRiMDKT+0J+cspX5BtdXUi13LKrvn4PMpczK718JZFvjK4vuCy408j2bC5v9DXc6PkpMtnajXf8FseRSkrTfEVO1+NduisdaidaaLnfu9eUNCbdiy25DOyAQbnsfr65SgkbyZH1crm4jzSTFpsumxUYZZldd2B4I8fkGzeRuruqQ5INbkevZiu5/PKVWI22dXusFseVuUpCklutWw+N7rU3lssbHZD1lLePbaedVEx+87W5XF5thfJ6uSxZt2I06dxmPd+/lck38bblcju2urucledtUDuz+3xH+fdM15ew8TLE3dXQChvN5c18Byty+d425fIbt63mG03dyydILjal128lGq16mlt2v0guAwCAzeAbwj5XNIKKBmaa2Z5Zmqt1+vX/t7+BK2kjX6StXCOqlbj/v9feXAdcwcg1HruPyzduoLLooDNyHaQbbWAW0syVXioamKl1pateutJWZq0ya/XK1bYWm5kuXIt1ZT4tG0VpprIjsnjImXFPJyYDjVZMucdK/+EUe7MsNO2KlY6rPf/Muv1win1irNzeMpFvNFn39NCkp8A3ZXm+7hI93YqHK/aa8bvOX9F4zSQZz+jxmUCjVU/Pnaro9JSv6bo755XA/f96rKS37yY9M9Ej382qNsadn+5jLDpDPOOuk/muOkszY75OTfryzPonzMgdY2ZdA+74uK8DFdPzfPuFnjTatedP6EtjVa9nH98tjNGuqejMX6+E12qKDvDu48okzbdc50tg3Pl+804sa62mRjpvoO5OqGKWO4Dt15/Lkuv8spuYPCRtXy5L7nPRrZSV3pnPBu5Xt54il4vJJabr58W+aMUxLbVdJm3UXsnl1Lq95IpcTq3LjmogTdQ91StG7z0UKM3I5e3M5coQp6AWubqZbQX6Dz/NegePrdxEqlZarOA27vsquQzsiEG5nGauosJaX/a7/8mqk3Nr2chEqeL/M+tW6M41rG6uUQZ+LZ7X+5laDCJ6xv28nMSzyZlJm83l6wupWvlkMk+dNk/qtmbVgcioHpltz2UZl8tRvgeq8udeDVzp/g+ejBQE+Z6mWj2Xy+9eZuWeqevl8kTNqBa6PVqjDebVdufy7HJv43LQc/S93mtioubpQOTOVeSv/lbovr484yaGDzOXpc6+zhv9KrnRXC6qqHh5m/nxmSDfesudMXIZAABsFCtl97miEVRI7MZX7Umdwb9aIGXx4PK3W3G/K1KKzlVPnZU4qSSbdlbkSK5hUpTO657ludZjJ5nbS6YeSoFvtJCvtnnjVqLZpUxTdU83FjNdn090oOJpJLKyLfes6pHRctsqy3vvHhrzZCS973igwJcWm5kuzabla2DUKU/VaLsB842UdbRyjcbFpnrKFd9rSaMV9ziz+crJkarprFhZ53z2lzy0cqu33GC61XevJ3rqWKTRqqcfPlnRYjPUD+7Eujaf6s7S+q+ob6RqV8ttZszXk8dCWSt95bWk5/GNVA6Atou9a6xrhNciN6P9j6/HSjJP45VMc6sMIhSN5SRzjat6ZDRe89RKrXzPKE1X3tZ1DkhHxgO9PZsos1I9cq/l9IinsYrbLylO3HtqOxSlPwe9P9d6v0S+lKVujyLJXU8ffTTUl16Ny4Zq8ToaIx0Z9RSn0o2FTKGfn4OuFu1qs9wBbI/+XI4Cabmx8ZLEW83l0Ft7EtR25HKWf84UVRuKVbLFAGzxGHHeGVbky3qPvRdyuTgJ/bmcZK7M4GLTarGZ6I2bicLArPucyeWVt1ktl6fqng6OeLoyl2iucX/X8aDXZbM5Xwnc/TTya8Y30gvnIv3777fLlW7dk6hOTnlKMnIZ2CmDcnku3797rQkZ3f9kjFQPXWn1jeZytMGqF/ezj23W1RYucjnOw8SqKK+f57InmQ2WkN1sLnueVS1wn9vWujK77dTKyH2fCXyjj5yN9L3r6YZyOdrg9kpFLhvTeS2LPU6TTPri95q6l+/3mv/6WnfVqThmVJYOXj+XM12cTfTYkUD/+juNdQ95GLkcp0ajFav51hrXU/6FLPSMKoHR8QlfN++57z/WWiVNu+L9EHhuELaZWLUTabRq5Bs3AL2duVwcngb890ZsNJeLVc8jFTcg+0dXEiV5Wet65FbISuQyAABYHytl97nTU0E5I3NmzNeffqKqKNj4F1nP6/oCa9Yu3+qbzizKauD+BF5nlUzxO9Vg5WzFrVyome2UWzKmcx9Fh5rfNTO4p9PXrHz84nbFzNNm4m4/k+/jkmWuoXN7KdObdxLZfDbwO/OZjPF0ctrXaNWoEbsv7JXAaKJmdHs501uzqf7oirvNW3fTsiHkGXd+rVzDdKRqNFH3yoHmdZ9/8afrxSz2f2kleYNTriE1WfPWvc/ifGZ9LZ7U5vfbsDo40nsvIxWjNDW6t4FVVUWHan+JK0l6+Urs9kO16pkd3UryVaP5ZIIkcyWbGm03o/3xmUCHD5g1S/1adWZl1yOjmTFPceoajlk2eEWYlSun9eatRO1UqoamPH+tRLq9bFUL3P5DWxV47o/vDR6M8fM//R3Enul9v8SpFITuPRZ47hy/dCXVWGXlDP52Kt1dznRjISuv4cVW76dBO3GvR7aZ2RsANqw/lz/yaFWnprwNd7puNZcD32i82vmMLVavGhXlB+9/9X93h6Vv1JNnxdMrVnP0fMS8C3K5yJrVcjlOrVqpe93aiTQSGXJZW8tlK7c6q8ipViJdXchkZDQarbztRgWee67Fd1djVn4/jbyV77niOi208glbRu59MFaRri5YnZxc+V3MSroyl+k6uQzsmEG5fHrK39DK14Jv8n1nN5HLvmc0VjOqBu6zpruqRPF9f9i5nMkdT9Cfy6s89lZzWTI6Mu7rhXMV9xlrrCqB0YHIqJVKC81M335747lcC8261SC6c7l/MLGdP+Zsw6qdD0SH3sayvvucFj9cK5dHq56eOBrqlXeSDVUJGUYuHxn11EjWnpyfWje43J/L1rqy04MmKKRZp+/B9OVgkcsT1fWf82qKymh+V5u531rXaffxrJXLReYXlttWv/v9lq7NJ1qO3XPvngRALgMAgPUwKLvPFaVzTkz5euZEqND3dGJyE5eFlSZqRicnvHJ1jjT4wipmFlYCV6Inv7m8rk4umU5jpvt+tlDBuJTYvKRdxbhGrunMqO2+37J0ou18sS//TdKJCa/siPOMNF7z9EMzoQ5UTHm8mXUziV2HmXueaSbdXrSaW87UTq2W225VzELT/fe9ptU784neuJ2UKx+M3GzqYrA6zaRDB3z92JmKTk8H91Xyp5yxK3f/p6Z8HTzgbbhcUrfu82clvfxO7yaDxczyWtBp0Pczyjs4jdvTb6mduQHCRHrpSlv/9rvL+sHtWJFn5anTgPLU2+gt9qjJ5Er+vXkn0cuXY91tDG4k9jyPvLHcSqx8z+rGontmi+3VJyikVmpnnQ715ThTaq0asdVcI9NS225q39duFb9Ycdu5VrsbjkaS70vjdU9jVVM2Fv2ujuLuDpUkdSUcx6ueosBTnGRqpu69F3T9bmZdR4lVMVO4817tvj6uL6S6cG2TG0oC2JD+XPY9oyhYv3OxtMVcruarSozp5LKf/3fxITFoEGorilUc4zX15LJMb6fXfsrlLM+waiDV8pVFY9XNd7hvdy63UinJMi3HrlP15SuxvvVWU6/djBWY3ZfLcebKijZjWw52b0cuT1RdjlZDVxoyyMso267zF3jS1AGvp7ym6RqA6cnlzE3omqh5OjYRytpMb93Nyvee1/W7y22rRpyRy8AOGZTL73840nhtY7c3cuXUH54wm24vl5OKu3K5+L5ftOeKn9+P1XK5uN8iW3oGovse935yOcsrI/zB27HuLmflIGKcbzHQSqSLtxN9/9bGcvnkVKBjY+tPOl7znGTuNfLlHmMkGk4uS51sroeuTP8gxXew+8nlYmC2yOVrC6m++npLmdbfHsfK9as04qwnlxvJ6pVWrPJrKx8M7s/l5djq3hajK/Kl0DdrtpmL7au6Jx1uKZe93snQrUSaa2Tlcw89dx2TywAAYKMYlIVGq56eOhbJy1cVWOuVnXGRnw+WdilWsRSNysWWVSXyFHatsB30vTyTa1TVQjdztmhQWet+nuajha1k7fvZiiRzM0prQedLeHepQWN7Z7R2zxI2cjNSJ+qeQt91go1Vje4uW33ltZaWY1s2PosyjFZu/9ZGbGVktdTOuvavs1psZuVM1FTuOUeecQNkRpqsG/3pJ2s6Mx0o8o0m6kbnDocarXqqhEbV0LhVlEZrzrZejTFSJZQeOxIqCqSbi5nqwf016D0jHRrpbUUWM8uNMTo15asyYOWoMZ39gtr5TN7ltpWVK3F1d9mdn2YiPTzpa7LmlY1vLz9fRaeE70njVaMss0pSq5tL6Yafk5vRbXV1zpUHlNwedt175Ay6K5tfO83YdR6H+euS2K2XYhqtuj16luPOvjX9j59m7jz5ntG5w76mRrp+yXRWy/lG5cqgKJCeOxUptqZsQI7VPNXCzk2tddftgYob2DHqrAqYGfPL+zk9RfV7YFi6c1ly77cwHwTyzcpcLjo/h5nLxd6e2zXn31ppqd2by9Z2lTLeply21j0vl8vuHlpJpnut3ZXLynP5+XNVRYGRzax8Y8q824rtyOU4dVsftPPyfFfmEr15O1Oaub1/j455O5bLRlLVX3mbYkuGLM+z7chlz0jHJzzNjJpyhXIxeFI8nTST5pYz+Z7RRNVosp53rpvOZIfi94u9D4tVTknaKUkc+UaHRk3vfnZW5DKwg/pzWZKm6kGZx4HnJtV0803n86GVuEklm8llIzcBNM4/b4r9LIuVlzb/faPN7Wu9mv5c9oxWrADsXwHa7X5y2fekdpzpylzak81x/sSsXDZnVhvKZWNcdhVlabeay4EvTY4YjdddWeUil7faZB6Uy1LvauyRihl8vNY9763kcrnPrelMEnCT8dyK2bdmkw1vYdVMtCKXp+pdk5EGH7qklbksSRvZ/7df0cZ95JCv0cis2mYu9iVuJUbj95HLoWd0cNQrS0FL7jou9rmvR0ZHyWUAALAJDMruU4vNTK9cbZclVTJr9crVtr59ua3ZpUwHKkbVwM08PFAx5Zdm35Mmap6irlamlXR93q266P4S3n9xFTMLF1tWD417mh7xFHqmLDsU+dvToBzEN660TmxNZ6ao8tU3xs0+Lo7dl1v5kORfwgNPOj4ZKMmkim/KxndqrWaXMzXj3sZEMdNyvuEakpm18vKO3TAvH5u3p+V7xaoYI98zOlAxGomMPv5YVaHv6f0PRzp7JNCPnalqtOoe+PRUoFroyjlVQ6PxmlnRQb8WT64BUQ+MkqzTCGymRqFvNFZZ5/YDWlpG0ulpXx94uLcuYDGz/PikpzvLVs1k5YrPzvl0jSM3gOg6yJOs05BOrdubKLPSgapb2VvLZxMXM17TTAo9d75HIqOlljTbsBrpGnQc1FAsZ3SrGIgwOj7p68feW9F//N5IIxWj01NG1QGd18UlW5TbrFeMPvzeih455G+pM90z0nzDzcxtdc0SL0qBFe+jTFKcd1a8/+GKnj9b7enoLgY2xiqS53lK8xJhb9xOdP5k6MqEG2mqZvTwVFCWZfSM68DIMqPRiqfjk51VAc+cCHViytdzpyrl9Qhge6yWy4vNTJfupgp9t2J2vOZpqu6V73cjN7P/QeRykV3bpepbNVPTc6c2/5/tyOXQ79y1K9eXqZW4VSTF9ga7KZervtEPbqV67mSkSmjUSCTP27lczuSugwNRseew1b2WLTs+rXEZu5O5fKC2ssxz8ZoXg8JbyWXT99/zLemN24neuus6vosJWVLXpAK5lUeN2KoSGr1wrqqJWmelW5HLvifVQ6NM0lzD6qUrbT16ONB4/lweGjeaqvvlajXfc+9xchl4sNbK5QvX4rLNXAuNDh3wygFAKZ+QUvPke51cayd2U7l8ZMzTRx6tqBq4VabGuMpP/Tm8ne3n7lzO5CZIuefe2Vql+9jLPVQlHR71t5zLSWp1414qY9TTZi7u26hYreptOJejQKoGxb7kbjB1o5+SRS6P5J+9YxWXcUUuTwzInm6D/m21XJY62RyFbp/7/tt1r3jdSi6PVU05AOkZqeYXKzzdYH87da9NucJ20PeK/Gumr95cfvZ0pB89U9HUiNFkzWhqZPXz3J/Lpw8GqocbG+Lu/612Jv3gTqJLd9NyMlacdn63v82cZFo3l41x21p86dWmHjnku0kGntsL94MPhzpQNT257HtG9XxS3vuOB+QyAADYMKZu7UOLzUwvXmqpnUhx4mYCvnzFlcxx5VmslBmdmfbLf/tBHMum0oGKa4BM1o3m8i/8SeYaKPXQ04Eo69mPJDLui7DvqRxg8z03A/TJY5HevJOolWS6s2SVZtJI5GZ8NpPBx+4b1xjpXoVRDK72KwbJjMn3CPGMfvxMqC9+r6U4b7icmvK02JJml7OyNGLxnAqple42MsWJW1lSyRsxSdaZpTxIscJovilFvtVY1ZNnMs03O8fre1It7C2tlGbSH12J9f4BDTap02i7OJvo4UlPL16MFXi255jX1PVg1xdSBb7VZM1TPbKaa6S6u9SZSasBz2/QvoZuVfXgBpWbrWwU5x3hmXGzUJV3aCbWzQavR54mqkZ3G65UYSOR6p7bY09yDepydbO1Gql4+Xk0UtsqzqwyufNdD91rdXzU02IzVZx6OjbuqRpKb95J1cgHd41cQ/WTT1T0u99vqxlbNRKrVmo1XjH6zjux2kmmJLW6fNeVDPblZmp3K1aujVY9PXsy0njN18x4oIcmYv3u62034Kzec9n9d9P1/ya/xrP83Pv5IGmSdm5TlK/y5K6hP3y7pZtLWdkpk3W9bgstabKWaanl3otv3k4VekbHxgNdmUt1/V7m9qny3RGMVtxg/XJslS6lOlUNylUBnjF66th9bMgHYKC1cvnGQqonj4a6seAmSM2MuWz+wnebmm1k5WdELRxuLhcrZfojwM8nzZSfY6az0rJb9+dbcT+NRHpo3NP1hVTLcTHA7J7LfNPedy63+z6sW4nUku3ZN/dARTuey8a4zt9GIl2bTxQG0rMnI/2Hi23FaaaFxs7k8kjF0/nToX5wK9O1+USNRIryXI4zqeKZzmPsQC6/nefyaEVabK08L5G/9VyWXK4Xr6GR1Gq7/C86tY3ySX9dr0HxfmzFVl98tanlti33ES7uO82kRmIVJ64DvcjlybqvpXaqG/esPLnBiWpALgM7YWO5nKqddNrMX3q1Kc+4bUAOVIwq+WrRhabNV7oa1T2z4VwOfWmi5utjZyv6DxdbMnJlfs9Me7o0m5a/K/V+dkV+p2KA1KlgsJVclnHl2z3jViPa1Gq8arTYsiva4DfuZar4ZtO53DZWcVoM/K5sM1u5Ns+BSiebt5LLBypWdxvrvvTlyTlQcStPa4HV7FKmwwfcJNfMZrrXzPsjVukIWK1/YLVcLo55su7pzr3MZbjXeS0TK/nWVdT42NnKpnPZyF2Ly3k2u++I+Xco474XVXyj6RFf9ciolWT6/q20zMookCZrntLMfR8clMv3mlZJ6nL5wCq5XAncwHQUeBqpePrgw4FOjCf6DxfbWmrbFTncb61cjgI3yNo9qbvoL3IlndfO5VZiFfhuG4tFWX39UqzzpyK9eKmtJJO+8npbWWZVDUzP9+5K4G7/3etJuZqeXAYAAOthUHYfujiblINb1xdSffX1tPx7lklHRn1FodETR0N5xs32y2R1+16mLOt0CL98Jda1hVT3Wlm590kUeKpGVqMVTzcWU1V8o5kxX4EvvTOXKs2kWmR0ZtqVFnrfQ+4L62Iz08XZRE8cDbXQyPRvv9t0A6nWdVi5hphbvTPftIp8N4hXrKYcpJjRW+wtYq30h5djVUOjtG01WjEaq/n6kVO+Pv+dpjxj8gahdY/bdV93lzJ5nlHkWQWBp9C4hnJmrdrJ6o0Ho87A8GLLdXBn+T8UZahM26oeGfme2/8sk9t3LQikNDVl4797tmVRQuuVq+1Nl/wxco27+dRqsi7NL1vduJdpvGZkrZE1ruNAXZ3s696nkS7eSTS7nOpDp6srZoWengp0Y8G1wqPA6KNnK3rlnUTX5hO1M+lDpyLNjAdKM6uvvt5UOzGqh+5oa5E7gXHXQH07cx0YxfFN1I3u3LP5TFjXoTBRk37kZKTlttXF2USPzwT6oyuJKoFRkrfCjHGzXC9cTTQz5unKXCrblhK5TmLPpGVnq5WUrDJZILWSl8+A/+ZbbT13qqKRitG1eTfYn2WdBmH3bPbujhSjvEPG9pUINW7V1kLqruNMrvM+9I0bsDBG37/tGs3FrObA68wUzqzUSN31laRSklldXUiUZW5mbzvNtNR2jzNRM/rIoxV96bWW2qm7Xg+PMMMXGLa1crmdSDeXsrJzscjmH3tPpK+83lLgSQ+NB0PP5a++3lQzyUv055+/03VPSWY137R5h5hRkg4ejCw6b03e4xbmqwCXY1eG3fesQt/lxVPHg6HmcvH9ILXS7PLO53I9dOXq47xn/OEJX398PdG9ljuXxTin3Uwuy+Vy6Ft5nqfTU0FPNm80lyXp6eNWs8tpvpegOy/38nNUHM9O5vJqr3ecSe0kWzuXTWfbCRV/t51Vvp7y68N2So1auc5yNwHBqJ24CQSB5/adTfMB1GZiy/ssJi8UjxPnvchuwgG5DOw2W8nl86cH57K09VyWpPGar//P4/WeXH58piuXbWfV6vSIG7hdaLm9uyu++yzbbC6HgVHFugyaGQv0gYcjvfJOW1fmUjd4ZiTbd5/t2H1GbTaXPbnP66IMbHebOcuPMzNu25bRqracy41NbO8ZGGm57dp2mZUma1IjNrrXsjLGKLV2S5VD1splSTp3ONTte6nutaTTU76eORHppcttXZxNdaCicjXwVnK5ErjfXWzaMpfr+US4//g9Fb09l+qJo+6a+8PLbQW+FOTXRz3yXNb5Rr6XyWZby2U3+CndXEx1c9G9XgdHvfLa20guF3ma9eVyZl2buZjwYIzrP8oy1x/USqRma/VczuS290mslW/ca/+tt921k1mrduyuu8iXjuYliu8uJ1pque88lCoGAACbwTeHfeiJo6HixDUwpd69VWfGXEm07v1yPGP0wYcrPQ1Bzxi973igW6+mquelWyS398tC05WePT7hq14xSlLpnblMYWB0uO6Ve710KxpNmbX6we3UlbhrW2X5LNF66L6lL7fdl+RKXtonyVZv4LljLxoiroHSiK2asWtIBr7RY0cCvfJOoorvVuVInTI33R2f7XwTm7akA55VkJ+fybqn2/eycl8c5berBJ1GiecVJWht2ann588rzdzPA8/o6FigxWaiLHMN0evzWdmx205c50D/rMuiU3WpvcZJ6JOpM6t3ruFWx1pJc8vSycl8BYvtPJdisHA1Jj9p7dSVbP79N1s6eMDTB0509im+OJvoyaOhbi5lPYP9Yb7XymjVU2atXr4S91yPNi+5K6mnkRkYN5u1EhjNjLkZwHPLmbK06Cy1aidGL11uKwyMzkwH+u71RNcXUmWZ7ZQqykfN37yTyBhTrsDuXnG6UXHmBt4l91pJ0sU7ncHSskySHVwCtJyp2/cPaeZWu9YCt4dP6BmdOejrmeNROWN/rOpmI2fWlRd/6mig3/tBu1xV/iMPB3rxUly+7nHa2cenFnrylKmduT0Mf++NlmxmFflulvvNpUwz4xs/DwA2b71cLj43uzNgvObr+bPVB5bLlcBT4FmXzXKrTKdHjG4t2bIjLbPr57LNO83izK0YacRWjdjme8t5et/xcFtzuVgJFOUlE9tJZxVSnPf27nQuN5JOh3mcSv/hzVbZ6eyrd2VIsWJovXHfYnXxO3NWqU30xq1EH320ovGav+FcdvfTm83WWrdi07rvZEU272Qur3a9ZVZaaLrfWDOX8wGJYoBCXY9X3HfS9yDt1K06ch3IRpXA7SdXDMK8M5coyZ974BkdHjW6Op9vy2Ck8ap0r92Z7EUuA7vLXszlii8dHPF0aykrq+1YadO5XDzXNOuUknf7wLr2d5Gj/TkUZ1JsN5/LceomYp+c9nV1PnPb/yivCGS6P/fdYKabWLO1XF5vJWYhk8oKHnEqNWPpzlJafl+oBu77S7HwtzjO9e57rVy+cC3W6SlXhrn7Gnr/w5GiMF61zbyRXD465uuphwJ98dVWeZyR516NVmz14qW2zp92bfdXrrZ1dS5Vlg+MV313ASzHVnHLlqWUt5LLceZyeKxqpMTo4qz7HrDYsuXkYt90crn7/tO+/+9/3Djf9qcWuAHWzeZyPXITDVqxygu1OMetxO0vXPHdYPfd5VRx6iZSNRLp4AGPUsUAAGBT+OawD3nG6OnjoaK+IfkocKWZugdkuxUNweLfv3s9cbMV82/QUeD20nKrIqzemc90azHTjQXXUooTqRKYgV9Yiz17vnO1KKNsyv3Iavn+Hsttq3bq/t5OXIN2PamVxmuu9JvkvlAXjTybWf3u91u6Np9oOe50/BaNxeLv5Z5h+d+X21aJtfI8aaJqyr04C8WM1YqfryYy6uqwdnfiGen4hF/uQ/Sh05GefCjUmYO+It9opGJ6VtoUjf9Br8lzpypuL7LquqejbFSX5yfrHgS0mm9mqoedzkrPU7kHz2qrc4pz5OWzoeeWM126k+qly7HmGqm++L2m3r6T6DvXYp2a9HXhWqzFZlZ2ZBTXw4VrcdnxIanctyfOO8gbsS2vWd9zxxQF7jFvLrrZ50VntduL1XXqvn4z0YuXWjo84pXXqO8V12FnNnbouRmxxWu1FUUn+BNHQ52eCtzqbrn7fu+hQO85FGiVt9eaUisl1miibnRqylfou/fHMydCHZ/0NDMa6NmHIx064OlHz4T61uW4HFCvB9I334p7OlCKMqRRIH30bEXHJ8NyH512Xg60Hho9NBH0XHdr7a0FYOv2Qi5bSc3EKvBdp209NHrrbqb5hlWYrxLMNvBR4OcTlcoyr0PMZaPuz/POXqdGLv92Sy737EtvXUWQ4keeJ41VO2Xrjcmzb41cLs6TMXKrLlsuQ79+sb2pXJZWZnM7ywez1dnXXNqZXN5InBYDEqvl8nsPBVva/91KWmpb1SKj5067926xn9z7jgeqRkbPnoz0yOFAp6Z9zS7b8roPPdfZX2xLQC4Du89uzGXJvee//FpT14rP5fwwgnwS83bkstT5TKqHRjcW3arca/NJ16rC3owtsnoruSy5vLq7nGmk2OM9HzicrHs6Pe2rErh9XM+fjLacy2ePhDoz7ZUTYFbTncvF94977a5cNlI1dJW7/LydH/ruPK5lI7n84qWWbP55vlSu6ly7zbyRXH7mRKjv3UiUJFnPZKNiQPfOcqavvN7SYjPT6alAST5hLfSMKoFXlkc2Xc/jfnJ5qW3L1+upo2H5mkzUPP3599U0XtnAHQ2QWsmaLeZy22q+Zcu2eqtrIsZEzej0dKDA91QPjeI0n/Zv3CSzD5zoTAQglwEAwEYwKLsPDVqRmOYrEl+64r5AbuTL4+mpoGyozoz5+sijVZ2e8hV67sKqBINnFfcr9uy5PJtqueXKFy61MzeTsbtBlA/SNmKrIwc8TY+4/Tz6v/wXjb3IdzNE46zTsKqFRqFn8tmvVq3YNURaibv/0UpRNrd3hqfv+gkV+W62aKPtZjdfmk1VC3pXybqGnHX78CifXZt0fsHLSyYutKxOTrsZ1WM1X0st19k9UTPyjXEN2tiVxBvU+C++8I9UjDzP5HuluD+BUdmgMOp05PafK1f+Nh+8ywe7W2nR6Ws0EuWzgDcw87cWSknmSurWAumduURf+G5Td5az8lz/vz9o6bUbib5+sanFZtZznQ26no6P++Xeqccn3M9m8nJBtcjo/KmKzky7Rlc7c3vojNV6O3WL67AoM/boYV9nDvruOUdGQd6oj/PZ4Os11NfiGekjj7iOmNGqpx87U9EjhwKdPeLKflUC19ES+drw4GxxLdcC11Hz1t1Ur9+M9YeX224FdipdnE312q1E509V9PbdTJFvFPpGnudez2bcmb1dTHSQ3Hl55Z1ETz0UrNvp1P0+felyrDSzeulyrMuzqV681KKhCdyHQbksubz70qtNJXmv6nrZPOxcLvbWqwbq1DuUy9iZUb/MZX9A3nh5Z+9oqHKlom/M0HK5+IwtOlTjrLNffTFQl+X/uJO53P9F3BhpNF+BaeQ++5faeYZ7KgcQ18tlI/c6JZkpVza34mxTuSwNuqYqqgbuiVQD6U88UtmxXN7Iaqf1cvkDD0eaGvEU+Vr12h14v5JGInfdfe3NWPONTC9fcdn48pVY8w2r124lOnc4VDU0ZS4XJYvbCbkM7Ga7LZelznu+2bZqJVZJZrWUlynOMuWrNu8/lyX3meR7RsuxlbVuAHGh5SZIR4H7/C8qGXTf31Zyubifu8tWs8u2XElrjHSvZVUJjR497Ov86aqMMVvO5fc9FKleMeXnbvFH6j036+VyPTTKMlNuLRB6bnBuI9mxU7nsGVdeN5Up95zvHmz15PL24myi0aqnjz1a0XTdK1fduvarG1y/31w2kiZrpny9ZsYDffi9FR064Onjj1UUBZ4engpcBRN/47lctJl9bTGXU/cE0nzGQZHLUuc9Gvq9z5BcBgAAW2WstRv57oQHZGFhQePj45qfn9fY2NhQHuOVq21dnu3MrvQ9NzO1mA159nCgJHPlmqJAPXuz9OsvaVw0GrpLCUnuC+tHHq2Ws4S7b9uMrd6aTVUL3V4vtdA1yqROaSM/LykYem7F4KOHfZ2ZDvXmnVjN2OrN22k5Y3ckMkqyTnkZ13Domp2cuMcuGkNx6hqiRm5VaGCs7ix3GhW+cfuR9N+n1JnBavIv824mtHRwxOhAxdOlWbcvUNFILUoOhp5RPTJ6eMrXU8ciLTYzff1iMy/V6/5tuW0VZ65E0KnpQM+eilZ84W8n0lTdk+dZ/eBW6vbhzZ+nzY/HM1ItcvvidO8n5OXnNs5cQz7y3c/aecOsng/IFuUd+z8oOt3xednHfAZzPTS6upBJ1qrdVRqy4nfKZ4We9OiRoNwDqLjOJK24nr59uS1jpfc/3CmHXJR3Kq7LxWamN+/EilPpxoKbAdyIbd4JYVaU5e7sXdt7jcZppjtLG2tQ9vOMNFqRjk+EK0qAF7pft0MHjC7fTbUcr/14QX49xanRUjtzs3aNVPHdytm55c518sihQO9/ONJLl92+ksV1nll3PXhy13g17JQms/ljDNoDsfu89X9uRH2dSCfya3k7PYjPQ2A9O5HLUeA+w5ZabmXGdN3T8+eqZcnytbJ5N+SytW5fvPmm6yyOfLfaZbLmcjFJrUYqrkN1WLnse64jerGVl0YOpY88UtGXX2+rEdty37Jir+6dyOVGO//ukD8xI9fR3Mj3l82yToexjCvv6HWVXd5ILtdCo2bsJtsZadO5PFr1VlxT841U33irredORhrrK7u413K5/7XbSDYbSdN1ycojl4EdsB9z+eSkr2+81VY7sWrEUuBZLbc7k4uKPWFr+UpcK+nckWDLuVzsCbrYdPtwJ1mnHVl8B4iT3tLuoxWjzG4+l792KdbsclZWrSjazH6ey0bu8+z0VLDlXJ4Z83XmoKcvvdoqJ2iFntvOKM1LIUv5APE6udzdZjb5+Tdyudr9ehavYvfk7Wq4c7ksSQuNVF+72HYle/NjK7L5ofHggeVy4HkDt80qbKXNHHruGiwm9m02lyX3fjLW5bLX915YzvdSroe9x0suA1yHAFDYzOchK2X3of7ZlTPjXlluJ82sri4kPfvnFPtwDdJfokmS0tSs6EhqJ9LLV+KyjEvxRfvS7URvzyay1mq+adVOrO4u255yhbWg2OPNrTg9Pu7rybyEz5PHIgWep5FKvhqj6inw3B4igW90/lRYznKcGvF08ICRMbYcwI3TThlEK7fH6u3l3i/8mXVfwkPfNdw++kikh8YD+cat5Ah8NwB7IDI6eMDT4zNuJu9zpyt6zyFfga9yFu1oxagauAHPSr5vm+TO8XyzU6p3sZmV5ZkzSVfmUl24FpfHdHE2KUs4X5pN9P1bac9epMXzCnw3Y/Zeq3dAtnhe7dQNyFq5BmFRQjKT+7cDFVf2qHgtitU9xfmSesspNmKr6wup4sQqs+45F6Uh22l36WSjW4vZiuus/3oq9jP+4ZOVnp/1l1ccrXp630MVPXM8UhR0ZjEXHQvdM1hXm/nuVq2YrTUw83PQSqRr80nPa9WtKJ91fNKXZ0zZWbHi/vpmBE/WfR0Zdb9cvAZxZnX7XqZWvlzK96TAzxvg055aSVeZrfx2bkWY0YcfqWiq7jqTF5uZWnHmyle1MzWSzrV3faFz3T1xNCxnXRfnq7DWrH4A6xu0kibyTfmZ3E5cx9hGsnk35HKaucQ4UDGqBkYjkac4Xw1zcsrTRN2Tb8xQc7keGQWe0Zlp9/n5/NmqJkcCfexsJN90Su7vZC6ntndPPitXujjJO36t+lbEFse9Si6r6+9FLmfWqp3a/Ng2n8uDrqnxmq8XztU0VnOZsJdzuTjWIpuTdOXe7oMY4w3M5Tv38v0Q81wO8/e151nXCd99fPmNi1yeGfPVTjLNNzI12/kqvCzTYitTO/8SRy4DD8Zuy+Uvv9YqK0m0E6uldqfEr80HM0dClSsfA8/oVD4gt9lcPjTq6fCop+W2Lfd87T7WduombHUPyBpJzXhrufzCuYrqYacCRrFn/elpv5zUdHoq2HIuS66C07/5Yzcga7oOut31eW3l8nG9XO5uM+eLKzVaNT0rOot87hbmH9dJujO5LEljNV/Pn6uWZaqLbK6FZui5bOQmjLUSVza5O8/6bbTN3H3fgW9kPCNrt5bLyo/PVWaTjox5+sijVY1WjOYameLEquKTywAAYHswKLsPFV9yT0y5WX1PHYt0Zjpwe7NErhxPYbNfHgftC1ro/sJaNJJaqfuT5I29zPZ2vFpJ99qdfVIk13FaNBiKx/Pzvba6GxhpJt1asnruVEVHRj0tNlO9cSvTvaZV5Bs38FX8WeM5FatoWnnD6a25rNxjqHhcI1ce6IVzVT19vFo2gALjaSQvj1PsDVbJS//8yMlOQ+mJo2FZqldyDYbRfEA09IzGa6bsKC5+f2bML/ckMn3HWwk6s5Pv5bOoBz3H4nwXjaSxqrsGIt+o6lsFnhtwdmV3pdFqX5mq4mRLWm65hs1y7BqoiXWva9GRn9lOqcZ6ZLa9kbJW47G7g6P7Gk3zzuriGJfattPJbdw58b2Vg6TdjKRKXn4zzlxDvfu1knr3lnGvudUPbidaaA2e8Vvs0esZaaRidHMxUxgYnT0S6vS072aR23wmtXW/f3LKV5xKr16P9YXvtdSMO/fcXaIrSzO9/E6suWamdl6qOs5c6a92pvx9aZVmtuwEcfextb21AKyvP5d9z+hj51zpuJHIlRDc6mfmTuWy5DJyotYp6XdjIVM1dCVkH0QuR4H07KlK2VGZWas3b2carRhFwc7nsh2QzcXPld9H4EkTNVdqcDTqHMtquVwM9Fm50pHN2K0AyiTF5HKpf8+3kYrR1flUF++kPfvI9dxv/pi+5zp6V+Sy3IBumr+G9cjo3JFA/+67DX33WqJG3Hkz9efy924kOjpuypVAjcR1/DbyQeKlWGonGbkMPCC7LZebidW9li1Ln/cPHkqdbHZlkY3eupuueLyN5PI7dzPdvpeWWwdpyLn8yjuJqoGb4Fy0mePU/f7xSb9cHbrVXJbcOZQ6q0OLMryh5z6v2+nGc7m7zVzx3X00YulAxe2TXgk6VS6KfC4G+5LU6l57b+Wy5M71cmxlZbXUtp2yzxvM5eI+ir3jG4l68kwanMs3FlNdvptocZU2s9TJ5UpekWRyxNtaLsv9p1us4CYY3FpMdXUhddeFJxlZchkAAGyLPTUoe/fuXX3605/W+Pi4xsfH9elPf1pzc3Nr3sZaq1/4hV/QsWPHVKvV9OEPf1h//Md/3PM7rVZLf+2v/TUdPHhQIyMj+tSnPqUrV670/M6pU6fcXiFdf/7r//q/7vmdt99+W3/6T/9pjYyM6ODBg/rrf/2vq91ub8tz327dsys9Y/TMicjtzdJVLmkrXx4HzSouGkPdX1iLRlItcPusFasSii/bxSMWA04Fz0hX55NyH5+Tk74bQLJ21ccbrXqK8sZdxXf3l6SuMTFWcft7rsZI5Z52tdCt7jg4YvSlV5tq5YNe1rpZy422HdiY8b18wDhfsWuMmxldNJTd8zL6kVORJuq9A7gTNVdO+nxfOaziC/94Nd9frqtzzxjXsByJjIKul86qqwxi1/MLjFu1c3oq0AvnanpoIlA9NKpGnp475fZBPRB5qkeeltsrO+fLBqxxg4RFo73/tSsasamVlttZ2fhsp1bvOejfdyNlox0ch0c8tVKrxFrFqVXgSc0401LL7ZdYvOYTNbfnzoHIddb7XqdsZ9DV6KxFRg+NuT13aqHRh071zkoetLfMcjufCZ3/Tv++PEZSNZTeczBQkK8qOjMd6MljoaKgmMHc+X0r6fLdVG/eTt1gSta572rg9tELfTerObZGxro9mkz+erTTfB8dFbczqkampwzbRhvxALamf9VD4LnSiLWo9wNis9lMLu/uXJZUVisp1CPXWVxk8598vK4z04E8z9NEzWi04q3IZdN1n5l1VTCqQd9977FcXm5nZVYWuRzl+7IHZntz+aXLsVt1pdWzOfLca3Mgv/b6c7n//C61rT7/naZuL9tyxXOmwbl8eirQhWtJOfiRWWmh5VaoKX/+1pDLwIO0m3I59DoDS8VnfrniXp2B2uK/m3Gmc0fcfW42l6Vidaz77Ao9aTxfCTrIduSy5MoVu/aXe6Abi1m+n6v7zNtqLkeBq/AR+r37yBZtH28LuVy0mUeiIpdNvo2SJyPTM/FZcq9dK3HbQXimqz29y3PZylUbM8bl83yzt9Rz4LnzulYuG7nfOTnpuXLQdaNT035Pnq2Wy83YuolsXeemm8lfm9PTblV2JZCePRltPZc9o8S6VbdnpkO9ci12+y3ng/fkMgAA2C57alD2p37qp/Tyyy/rC1/4gr7whS/o5Zdf1qc//ek1b/M//U//k/7u3/27+vt//+/rW9/6lmZmZvT8889rcXGx/J3Pfvaz+u3f/m391m/9ln7/939f9+7d0yc/+UmladpzX7/4i7+oa9eulX/+9t/+2+W/pWmqP/Wn/pSWlpb0+7//+/qt3/ot/at/9a/0uc99bntPwhDcz5fHQTMaJ+qupFsxq/iZE6FOTPk9e6BcuBbrqYcCVUI38NXd6dtdnqb4olw0OtNMmm1YffnVltLM6o1bqYJ8MPCRQ/7Ax5M6jVrfc7Nag7whJ2NUC92X6rU8POnr4SlfTx4N9eKlWHeWMzdb1Fo1ErcSZaFldeVurO9cbeuP3mlrsZnJy5/LWg3u7tcgyzoNTEmKU7dn3kil9wCL349T9/vFilWbn6NiULTWt2VJ/wzWkVA6UHWNkA+e6n29nj0Z6Qe30/K6aMSubFOhmGksdToJTk76mqp3ZgO7GaWdRlQxC7mVuPtbbrsG+ldeb2qh0ft+26yNdHAsNjN951rsrpnUrTxqxFIz7uy/ZJXvlZQ3NJfbVoHvrpNq4P6/kq/KroVGvqyu38t05IDR82erOjzm65Wr7vWXektnXV9I9dXXm5pdynQgb7wb4xqqk7VO2ataKH3sbFXPnop0ZNSVFBupGH3naqw3bydKbFdjPrcc53sbqdPhMF4z+tSTVR0d83s6p9//cKTT077CvBei6PCWXMfL6SlfHztb7enY2GgjHsD22K5sHq16+pGTkcJg9Zwklx9sLnffsn8Auh5Ike8+8/uz+fikp9GqX3aIdudy/9VQrLY8fyrSSNTVWbpXcjnpLeNoJD007rKsna9SqQbbl8vXF1LVI0+Rn+do3tE8VnF5Gvlu9c3zZ6s6NuYPzOX+ssetxL0GxettjMv6Qbk8WvX0kUcrmqh5nSfcdaFM1Dx96klyGdhJDzKXJbcXq+9bVUJT7mNZPILndSpLFD+3+X9k1n2GfvW19pZyWVI5eSny3edU9/eC1ezWXG4nbvJVPTTlgGia7+OaZtJYtbdT7H5zubvag9Q7aepeW3po3NszuRx4bkB7vtGZ8JXkVVQ8ucnLXn7M3bl8IDL5vqxuonHVd8898K2eOhrqAyciXZxN1s1l37iS257p5PKgNvMPzQQKA1fx5NJsumYuL8ed18TPn9+feCQilwEAwANlrN0b07W+973v6fHHH9eLL76oZ599VpL04osv6vz583r11Vd19uzZFbex1urYsWP67Gc/q//qv/qvJLlVsUeOHNGv/Mqv6C/9pb+k+fl5HTp0SP/0n/5T/Sf/yX8iSbp69apOnDihf/Nv/o0+/vGPS3IrZT/72c/qs5/97MDj+7f/9t/qk5/8pC5fvqxjx45Jkn7rt35LP/3TP62bN29ueLPzndgg/ZWrbV2e7f3y2N3YPDHl66lj0YrbFTMa24n7Uv/08VAvX3FfRKNAPY28/tu0YivjGWWZ1Xyjdy+PwPTuUVPx3X5b7dR1PvrGDSTWQrOh4yykmdv7p/s27dQqSa0bkBsw0CW5xsijhwK9/+FIF67FunQn0VLLHXPFd8dV7NcaetLDU77emXN73IxWpZlRd1vPGGU23/Mzn5G81dfglattXbqTlCVqixJIxV43Rq6ET+RJi12raDzTKUXpy+2pUvGldmb0yCFPnufp5KSvt+6masdWNxY7r4zvSbeXsnK2abEitiiNPFY1OjUdaLltdWUuVeS7Ac1iZmvouQ6C4lgCv3fm6qEDnl44V1v19duIxWami7OJnjgaDjzf3efZWqtWatVM+spSGdc4q+YzbBuJdGzc7avUiN0s4Uq+Z02SWi22bLmy9fzJSK9cS5Rk7vy7hmGi5bY0u9RfZMzNFL6+kLr7M0bWuhLCrgHor3iPJTbT92+kbkDEuNe32dc294x0IHKzeMeq0vRIoEcPB7p0N+257tLMNe7v3Mt69ribHjH66NlauWq+OKcnJ3198622Wol7Tzx3yg3ar/V+v1878XkI9Nup6/BBZTO5/GBzuRZ0Skwa5fvY2a5szjMoldtGoBJ5evZktO9yWeqtxBF50mTdXV+NRAqMlc33mdvOXD486unWvURLbaNa4DryQ9/qyGigMwdd7+qauezn++V13adn3POo+C73nztV0cXZRHEinT0S9lx37STT/++PGj0dyb6R/vz7aoqCzooichn72bs9l4vbfP1iU3MNW34ONrsey5PLiqX8Z8a4ShOLLVsOmI1WpXrk7ftcbiVusLBdtPu6ctnLSxgnqfues525XEy+lTq57HvS4zOBGrH2RC5LUuhbzTWs4qw3l4tBUdceNWUuV3y3N/FiM9Vcw674jnKgIllrZGU2lMszY77OHPT077/fVuRpRZvZN2bTuSzl20NU3armKJAma56MMVvK5eK8vnoz1t3lTHHi9qQNfKmRPy9yGe9mXIcA4Gzm83DPrJT9+te/rvHx8XJAVpKee+45jY+P62tf+9rA21y8eFHXr1/XCy+8UP6sUqnox3/8x8vbfPvb31Ycxz2/c+zYMT3xxBMr7vdXfuVXND09raefflp/5+/8nZ7SxF//+tf1xBNPlAOykvTxj39crVZL3/72t1d9Xq1WSwsLCz1/HrSNllDqt9qMRsk1kC7OrtyUq7hNI5HmGpnmm3bFfjjdHb9FY6md2vK/A1+SVd5Idb98ZNSTte7LcP/q3cxa/dE7LX3zrfaKmc1+X4nBQXuh1ANXPuk7V9uy1urQAV8jFTdz2Kp3BmZmpbdnU8WZe16N2CgKO3vtecboqWPRii/jm30NDo+4QcJW6jp2D1TdtN/uxkacdgZkpU45vKKRl8nNal1sSXFidfluprdnU335tZYu3U50ayntmbn8/LmqTk955fnx1Jmh7RlX5sfaTLNLmeqhUeCZsrxUUY4y6CppNBq5PYAkNwD67MnVOwg2qr/MWP/5Pjnp5w1tK2OMIq+zd5Dv5XviyP0szawaiXRq0tOBiqcfOhooyfJSTMbIZm6Q1sid0GYs/fs32m5WeNuqlUhfv9jWlbuZFpvpijJYUeBWBFUDr5zpXext+INbqTJrV7zH7i7ZcmZ85Oeve5/MSkv5foVzDekHdxJ9+fWWTk36Gq165fvhG5damlvuff9lcu+rly679093Kak3bqX64MlIgefKjH7r7bYeOeSvmGUP7HW7IZelB5fNDyKXpZWVNZIs05debbr9vLq823N5odXZj7cYrOvet9daaTmRWokr2ddo232Zy8UgZjVwuewZdy4aiVT1rWqRp2dPhduey+418FZdhbVeLr/30Mr3ZfH6tlJpuWX1//6gpddvpppdTvN/t3rlalvzy4m+9Fprxcqe1Epfeq2lJMvIZexL+y2Xi9vMN1Xui92/13WmzoCs5NowcdoZ+JJxtyGXbTkYGwUrc1n5itTie8525PKZab/M1mJgtsxlT7o2n+rOvXTX5vITR0NN1b1ylXOcuklK1rpB42rQtdJUbkC2O5fDQPI9W1YOKUprJ5m7Ru8suQorG83lpx4K9ObtrJzELPW2md+8s34uDyq9nWTS3YbbI3d2yer7t7eWy1Jn4sXNhUyjkafjE75kpXfy53Vk1COX8a6yW3IZAPaywS2HXej69es6fPjwip8fPnxY169fX/U2knTkyJGenx85ckRvvfVW+TtRFGlycnLF73Tf73/+n//nev/736/JyUl985vf1M///M/r4sWL+if/5J+U99P/OJOTk4qiaNXjk6Rf/uVf1n//3//3q/77gzBa9cpZ+8WMyWdOhLpwTStmqHZ74mioOFFPo7IwM+briaPhqrd5Zy5RkkqpOmVwi//vZuVms4aea5TWAqMosFpsun1AmrF0+ICVlafLdxN991qc7/niKU5UzkR+806qJLUaqRj5+R6dxfFaK43X3IzNhaZVqs5sBWulpVg6GGVabnu6dS9VnFrVI0++kays23MnnzEqo7IzuygDO+g83O9rcDPvYG0kbl+Xe83eM2fV25hU/vfA62oUW9c4TOWOe6Fl5ck1jjPf7S98eMxTJTDlMR2oeqoEWblnaVGe0ZNkM6sk9RQFduBM8HrF6IdPBvrGW3E5y7UeqpzlOl5bYxPBbbDYzPTNt9pKMqmVWkWe1UKrM3P5QEVaakqJpCRxs5Q9WV26myryM71xy52/JDMymZXvGR2IpOXYzRzuLusVZ1atxJYb38w13P6tRemx4md3l5Oy47f7mnTljVa+x9LM7WXXStxq2IWmLfcd6pZaKU07g81JZvW1i209f65avh9aSafjuri6Mrn32cXZVFHoyit1H9PscurKcBq3WunS3XTN2fbAXrQbcll6cNk87Fz+3vVYTx0N9c6CK4dfZPOXX23pznImT9JIRT2rbPdLLqd5Lnvq+hzPO2+LTuFiBc1+zOVK4FZuN5NOLkuuE/eAMr14Md5VuXxqyteNhdR9txqwlMxKWmhLQeJKW7qJU7HS1FXN+O612JXAzA+pO9/nGpm++npLM2M+uYx9Z7/lcnGbpabVpdnEfY7lgTxolaqUV2fwrMtmuQxJUsmafIWqtTp0wOjK3Uw3FlK1EysZKyNv23N5dinL9yB19+F+x3YGlh9wLrdSKfKsllq9q06HlcvPna5osdXQnSVb3nexxWk9NIrzEsAVf/flsuTKZi+2MiWp1bKVaoHL5uL5h17nPC603ZnszuXQk+YkTdU9zS5nGqt0crmszmQ2lsvtRPrKay0lqS0HZPuz+fikp5kxf81ctkYyA94/RZtZcocx17CbzuUXztV6Jl7MLme61+4cY5y6SQcMyOLdZLfkMgDsZTv+zeAXfuEXZIxZ888f/MEfSFL5RaxbMbN+Lf3/vpHb9P/Of/Ff/Bf68R//cT311FP6i3/xL+rXfu3X9Ou//uu6c+fOqo+zkcf6+Z//ec3Pz5d/Ll++vOZxDct6MyYH8YzR08fDnr0yJPdF+enjYXlfg25Ti9wecpXAaDRyjR8/n9HYP5MxzRstU3VPM6OeGrFR2jWD9cY96c07ieab7sv+fNOVmemeiVzx831cWlZHxjx95NGqJuuuUekaqm4KcDE7M+/HLTvWFttGt+6lWmxaLbXdl20rablrJWqxskNyb6yJmtEzJ6KB5+F+X4MnjoZ6aCLQgcjTgXwvvrGqKff9K2blBn0PHXjuXPpGqhevQT6DWXINpdBzJZpmxnx94ETUc0ynpwK3okVS6LnGRegZZXIdqo8eDvTcqYpOTPkr9hR+9mSk6wuuxGAm1zhTPsv1jVuJ/uidVjlze7t0zwC/OJuolVgtNDM1Y2m+1WlUWUmLzXyAWp2fpZIasRv8dHsEuU7iYjZ1sT+Rb1yZyGKPVk8qZ/M2EveKFJ0SxfulErhru5GsPtu72EuqXL0jN5t7tGI0PeK5mcdaOVu9ZDqdC4stW74fIr+z91TouRnE7z0UKPTcPogHKu7xu/eWkjbWiQTsdbsll6UHk83DzuV2Kn37Sqx7+ed7kc3tfGJIYqXQN/sul4vnE3huj7RiL/bRisvX7gHl/ZrLS223KqlQ5FZmpYWmdl0uh4GbqLDaoIl71Pw55quGbi6676td8+Ukub3q/vz7auVedr6RnjoaksvYl/ZbLhe3+ZFTkSbqnVwO/XyVqnGfV0HfQ1Z8Nwga+W51pc0HEuO8gsNreSWeW0uZZhtWd5d728xbzuV8kG62Id1ZypRkme4suRWIS+1OhpSf4UW1CD2YXK6HRoHvKiBUw85+pMXk1OITdbtyWZLGqn7ZPiuy2feMlmOraiB96FS0a3JZ6s3mN+8kmmtkSvJrp8hmK5eRSwO2Re3O5VbqJuDVIze5qdzPV+6cVvL3wUZyWXKVWYrLaFA2Hzngr5vL5YS1NS6zbIu5LIlsxr6zm3IZAPaqHV8p+3M/93P6yZ/8yTV/59SpU3rllVd048aNFf9269atFStUCzMzM5LcKtajR4+WP79582Z5m5mZGbXbbd29e7dntezNmzf1oQ99aNVjeu655yRJb7zxhqanpzUzM6NvfOMbPb9z9+5dxXG86vFJrpxypVJZ9d93s8xavXwlXlESuJ1IL1+J9cyJlY3M7tv4nlE9/4YcZJnaaeeLcjGT0TOuQZnK6Oi4p3fuZoo8q0Zfj1cx87ZY1dNI+vaZMa5xVbYGJc03XAeurNROM7US1+Co+K6R1UilVt7oSFIra03ZWZhm0kLeIMr6OuCMesvAFvvjbKeicf/V11O1k+I8SpM1o7lGljcWjeqRtNBwq5d8I1XzBlEjkWZGXVki35MW83KVntzs1EpoBnYSXLqbKvRdGaJaaPJGlVEjdvf/4lttfexsVU8di8qyP6enAj11LNIrV9u6vpAqtVZLLXfGlq1rsL15O5UxrhG0XaV9uvdvihNX+uj1G7GSrKuUlLSiwTWIVX7+ApV720lu0sVS200GWG5b1SOjhabrzFhqW41EboDTN0ZxunI29ETd6OABr3yvdM/2llTuJSUZ1SOj5bZVnFndXbaqh77Ga0ZLbbfXVDvtnf3tXhnX8I1TKZHrfKlHbuZw6LlOh5OTvj7wsFtVEwWx2qnVucOdvXQ611nnftfqRAL2ur2cy9Lms/lB5LIxUtY1faSdqPwA9o10sO7+bX/kslEjztROlO97mueycSt5ksxl92JT+z6Xkw30O++uXDaqBpKtGi213Ippqe9aNMr3wXXvpbllW96PZ6Txqqv28vxjFQWep48/VtFXX2/pqaOhZsbdMZDL2G/2Wy533ybL3EpJycjPrJIsHzgtPjeVV7YwUjszCpTvf5oPnnWv2rfWlWstJjhZ29dm3kIut9JO3qf5527SlcHtRMpspqRr5mv3ZOAHl8ud7zgHouHm8oVrsWaXMo3kqzUnam7FcfFZn2ZGh8d8zYwHO57L0sps9vNVzjaf/Ns9kLlWe7lQC9x+qnHqqnQUuZzYzoqQYvB/I7lcC42ePBrq5lK2YoX04RG3B+56uSy5iQpJZjXXWP15WG0tl/uvtQLZjHervZ7LALAb7PhK2YMHD+rcuXNr/qlWqzp//rzm5+f1zW9+s7ztN77xDc3Pz686eHr69GnNzMzoS1/6Uvmzdrut3/u93ytv84EPfEBhGPb8zrVr13ThwoU1B2VfeuklSSoHe8+fP68LFy7o2rVr5e988YtfVKVS0Qc+8IEtnJnd78K1uCwTI/XOaHRl3lZOoxx0m2Kfm6IkTndnqrVuVUnkSY22ZEym5dgNNK321XaqbjRd7/1ZmpdYrEeebixm+urrzXKljzWu9F3Fd/dZC6RjE6HeM+3eHkX5ojjfP69b4PV+qffVeVMVZWAHnYe1DNoT95Wr7Z5ZsYMa91ZuNWTRoK6FbpVnJtdQr4Wuw9YYty/MO/Op5hpZWYJJUjkjtxXnHQG2t8lyeipQLXSzXY/mM1WPjvkKPdeoarStXrocK04zffF7TV26k+jFS25Gb7EPUCtxq69GK+5AF5uZ0syq4q++r9JW9O/f9Lvfbyn0Op0XnulcR/lWSauvOJXbKynJXDnIYvV7M3WrdKx1z2ux6Tphi0HS5dgqy4xGK56OT66cDf1jZyr64MMVecZosZnpwrVYTxx1A6Jv3kl0e8nms9s756l4nW7cy3T4gK/xmqdasPLDvHg+rjPE/az7fg5ERrXQUyXy5Bm3j9P7Hor0wYc7jfz1OpH6rw8AO2+z2fwgcnmy7umTT1R6jqWVuGwaqxjdvGf3TS6b/Bxaub/7xnXsFp3bzdhqoUkue8pLSK4RzIFxK2h2Uy5P1X3Vws5q825FLqdZZ7VY9/3UQyPPeHpo0leQb1IYeJ5eOFcrO37JZWDv2a42c9V3mVfs0Zl2ZbOR+3ffkxqJ1VLsPoPqqyzQM0aa7GszbyWX/9QTlfLxjXGfaf1tqv6JUvshl6PA3c+Z6aBc2ZmkLj/a6e7JZWllNl9bTHtev2LClNTZU3g1gZF8Xwp8t8ew8nNV5HKWZ3OyiVx+7lRFM+Nu0Hqp5V5nSXrqWKQb97IN5fKp6UDHJnwZmYFtZmnruSyRzQAAYPN2fFB2ox577DF94hOf0Gc+8xm9+OKLevHFF/WZz3xGn/zkJ3X27Nny986dO6ff/u3fluRKpXz2s5/VL/3SL+m3f/u3deHCBf30T/+06vW6fuqnfkqSND4+rp/5mZ/R5z73OX3lK1/RSy+9pP/0P/1P9eSTT+pjH/uYJOnrX/+6fvVXf1Uvv/yyLl68qH/xL/6F/tJf+kv61Kc+pYcffliS9MILL+jxxx/Xpz/9ab300kv6yle+or/xN/6GPvOZz2hsbOwBn60Ho2g0SKuXedvIbQLf7a3id3XMdXNlmozbn0aeAr9TKmmQgyNGSdb7j6FvZDxTdjS3k04pnWpgFPlurzIrt2fLDx31dX0h75TO/6foMDRyM4hHK64EUrHvTORLjxweXAZ2o4qZqpdnU710OVaauUbb5dm0bKxJgxvqjdgqTq2S1DVC2qlV5LsDz6zUTKUPnow0M+arkajspIwzW34QeHKN40YyuJOg2Munu9zSI4d8NfP90VqJdG0h1e98p6k7y5mWWq7s78XZpLzto4cDnZkOyvMf+K5kpu+ZbS3v019GqJWXU/LyVSpjVTdIXwnctXQg0oqyYt3utfP9kFIra61mxnw9PBGomPhqtXKlavHX2eVMxmhgJ29mrf7grZZ+/81mz+seJ252bpav7i4a5qHnZnWP14zOHgn13MlI7ayzD2T3+yjLb1c0giV3bRSdCUdGvTXP91Y6kQDsrM1m84PI5T/xSKgLV3tXD9RCU5bys9bum1y21uVlsQffVN3rOefFv5HL0khUdEgPFmduD+NGcn+5LKlckTSSP95CI9WXXmvq0u1ky7mcyf3OoFzu/ju5DLy7bVebOcxnehipzMDi78ZIzdTIN0bd4z+tdOUEESuXLYcOeD1t5q3k8ldfjzsH0dXWCP1ODh+omnIbhMiTHj1CLu+WXJZWZnOadravqAQumyt5VYrQd23m1cSZdHfJaqFhFfp5rkamJ/fcmtaOB5HLTx2LdHoqUCu1yszKNrO09VyWyGYAALB5e2ZQVpL+2T/7Z3ryySf1wgsv6IUXXtBTTz2lf/pP/2nP77z22muan58v//43/+bf1Gc/+1n9lb/yV/TDP/zDeuedd/TFL35Ro6Oj5e/86q/+qv7sn/2z+omf+An96I/+qOr1uj7/+c/L992X00qlon/+z/+5PvzhD+vxxx/Xf/vf/rf6zGc+o//z//w/y/vwfV//9//9f6tarepHf/RH9RM/8RP6s3/2z+p/+V/+lyGflZ0zqMHRPaNxtOqtmMU6UjGarHk6POaVtzl/OsobgZ39W6TOl+VKKC21M3me9KNnIo1WPMWZyrJw3ayk79/KlOWb1RRfiIsZsF3b2pQDbJXAuNKv+c+bifTbrzQ117TlTNCiA7jo3IsCt7JQ1jV0J2rSuSPuPESB0alpX+89HOjHzlQ3VVqof6ZqsQeo1DsrdlBD/fiE37NPaCXwlGSmnN3qGemt2UTPnAh1cspTGBiFviv9N1oxmqh5Gq16qgZuFvRqnQSS1EqsvnPVzfp89WasJHWPEadub7jlOB8MlhT5pmzIjFY9ve+hSM+ciHr2mPE9s+3lffr3b2ok+Z4yRhqreqoERkZSPfLyEkquZNJqMrlrI/SNotBd6z98MtKZaV+BJ41GnZnDnpFOT3t6z3RQXmeHR7xVOxEuzqaaW7ZKM1u+7jcWMx2I8n2PjCuTZYzRRM3o7OFA5/P3WFG6MvLd+8WTa0BX807tYmDFN70f+Gnmnsta53srnUgAdtZ62Szpgefyv36lpatznQ6pKF8NWY9MuYentD9yuZW6FSLFapNa5EoqPncqdPu9h1I1JJeNpHbqSvSvxso9H2u15VyWBnfwf+1iW43YlVx8Zy7ZYi7nnejG5XHgudcws72TCQrkMvDutNlcLvbcfvJo2HOb506H8vIKAqHfW+UnCoxqgVVqrSZqRuNVN6AoDS4FH2fSG7fSnjbzlnK54eoo93xqWVeiXUYaqXgy1h1vxZfG60bvOx6863N5tOrp9FSgb19u64/eaevVm3H5ehV7qe+GXJYGZ3Ni3apXN1HKTZgKjDtP3Xu997NyE4VvLLoVqiemfH388apOTwWqhu6cFZMEHmQuS1q1zRx4net3K7kskc0AAGDzjLXU0thNFhYWND4+rvn5+T2/wrb4Mt2IrSLf6KNnK3rlnUTXFlK1U6sPnYrKsi/ferulS3dSRb7VUtt9AfY9N7Oylbi9aSbrRj92pqo0s/r8heaae5oEnnT2cFjuR3JtIVUrsQo918iSilI6VqFnVAvdTNlm2QDtlDHyjZshutiyZaM28qXxmtHcss33o3GzftPU6PpCqijQlvZ6yawbpOueaVmYGfN79hxabGa6OJuUe6tk1urbb7d1czGVlSlney61M6WZFHhGZw76euZ4pJevxHpnPlGSSedPhbq1ZPX4TKCXL8fK5BooZ6ZDjVSMLlyLdXoqKAfZf//NpuaWrXzP6KEJT9fmUy13TZKWOjNga6HRn3mqqtDvnIfNPMf70f84aeYacZmkiZqnF85V9EfvxHrzdqo0s/I8KUl7917q5hnXwVuveD2vbZq58l7txO21tNR218x7DwV6+nior7zWUju1qoVGE3VPNxc6PSPFHk5JfmyBJ41Enqx1M6ZT6xrK9cj0dHZ0n6fufYCm6p7qkVGcWt1YzGRMpkbbNayNXEN1OXZ77XmSTk0Fevb02ns4DbrOuq+JYXo3fR5i73o3XYc7lcueXCm70YpX7hX20pV2+flbrP4gl8nlzeSykevon6obnT9d3VIuP3eqoouziS7P9q5wWW7nx2alSuDKWG4ll2fGfL3nkK8XL7aVpFa+L8m6fR19Txohl4FNezddh5vJ5VeutnXpdqJm4lZ6yuSTUvI9ZH0j+b7Rh05FqoZGX/heU+1VJpx6yvO0q828lVyWOit1Rytu65xW2llZGuQLMFPrcrlY9Zlm2rO5/N3riQ6OGF24lui5k5HGav6Kz+HubPbyybHNuDOoXdjpXB70WP3Z/LGzkb78Wltzjcy95nbl8+h+PrsxlyWt2ma+Op9qOb+fYIu5XNz/TmTzu+nzEHsX1yEAOJv5PNxTK2Wxt1ycTdxsxpbVneVMv/Odpq4tpFpuuwGnr13q7Pty7nCoiZpRO3VlBydr7v+X224vsAORUZYZvXkn1g9upxqJOl+K/a7fLxoCJ/tmIkeBegZko8DN1nXlh6xC3+hPP1FTNXD/3v3GCDw3Q7W79JMxkueZ8v7STLo+nw2cpbsZ/TNVC4NmxY5WPT11rNNA8IzRB09W9InHa6rkt88yd/5k3czn6/Op/vV3GnpnLnH75fhGt5asnjoWqdGW7jYy3VrMlKSuYdNfCuribKJ7LdcQizOri3c6Hb9SpyRR999feSfp2UflQZX36X+cWuRWrES+kc2svncjcbPMjRtkKFaF+V0riz2Td3AY6cOPRDp9KOzpPOjfP6ZYmZxJunjH7ZfnOkmM2ombBV3Mmk0zq7mGVZK6fX3dqiApTtzM6Ubi/h567t9WO0/ds++fPR3pfccjvf/hSCemfP1H76np4enANVS7Zg4Xq3dml7N1z/eg6+ypY9HQO34BbL+dyuXAl34k/1wqsrn787dY/UEuk8ur5XLgdfaY9fN8nqxL52aCno7fzeZy0YE6M+YrzayWY6vlVlZe524PZbvlXH7mRKiJmq8XHqvq4Wm3IuzgqK/QNxohl4F9bzO5fHoqUC1ynxuB7/Z+DX03ecXmA1UV3+jGvVQ/uJ2qHpme/d59z23zM16VjOey+eR95LJv3B6sxR63jTj/3O6qaJHmJWVDz63cvdd2g7zS3szlwHMrYP/4WqI4kb5/Kx1YPrk7m9upG6xebSBzJ3N50GP1Z/PvvdGWzWyeU+662Wu5LK3eZj51MNDDE757flvM5eL+yWYAALBRfEPA0DxxNFTkm64yR1aLzcw16jy3p0zRENvo/imSW/FSCYzGKq78zHjVlZQZqxqNVIz+xHsr+tEz1Z4vxOdPVVTLO4yLkjIPTQRlp9/5U6G+czVRJXBfwIO8USq5L/qtJFM9dPuTSK7hcf5kpNPTfjnDtbts41b3eulvtBTaifTylbinsbbe7YtZrsXKoqVWPtiXl/1JM6upEbcqsyiT1UrcCuJ35pOBpaCeOBrq9JRfnoeiNPJqrLW61tcgWqu8j+e5kk7d5bteudrpjNiMQY/z0ESgemhUCY1OTwU6M+0GHXzP6KHxQC+cq7i97PLG5WjkyoGNVoxuLNhyH9hCfyN2vKry3MT5oGthZszXk8fcTHTPc69BO7VaiqUsc2XEMisttN1eQ8V5vdd2q9EGlUEqyoOPVFyjT3Kz6JdatmwEFgMrxrj30EfP1nRmOig7WyinBOwfO5XLH35vRWcOhT2dVd2fv+QyubxaLn/isaqmRrxygL/I5bGKkZGnNDXlfnPS5nO5WNHynkN+uSJsKXYlGosB7UVyGcCQDDOXfWN0IPI0VXeTmMarRtYanZwKdOiAt6LNvNlcHqkYZdaU2Rxn7jN0JOyUgK340kPjvoxxz6ceuX1vpb2TyzNjvk5N+mWJ6c1ms7dWKGtnc3m1x+rO5qeOhqqE7lp7eDLcs7mcWavRqtsf9sK1WIvNrBw4ffKhiFwGAAAPFIOyGBrPuBJMxWxayc2I9ORKFx0dD3oaYhvZP+XMdKfRcGIy0P/3mbqOjrkfVAKj589WyxJP3Vbby+fUwUDPn63qrTm3mqYo8epmR+aNKONW3GR5Yy3wpGPjvkYq7u1jVJTOcQ2K+9nr5X5nxXbfvlXcTXcndv4zt6JGWmymunI300uXYz12JJAxrizVUss1RgvdDaRnTrhGS/nh0fc0Pbk9aCqBe4x2ansaMqu9FkdGXSGtmwtZz36r3bOON2Mjex73/86V+UzVwCgKXOdGveKV1+Cg89/fiP3o2ZpOTwfy1NmnRupcE5LrLChmTktutm9/YaqiwdlpaNqB+08N2p+2/3xt5DwA2B/IZXJ5r+XyRN3XsXFPxrhcDnyvHDQY9BpsNpeLEoMvXmyXZZKLzvlu5DKAYRh2Ls+M+frE4zWdPRzKyP3Oew6GeuFcbUU2bzaXa6ErIRvlJYqNXNYU1RpqofSRRysKfeNK0XdFxl7J5cRK7zno6xtvtcvP9i1lc9/TLM7VTufyWo9VZNLMeEAuk8sAAGCbsafsLvNuqsVf7E9ybSHVYjPrKdlTDaRPPVnr2Tul+zZr7Z+y1LLbvl9H//5fTx8P9YeX23rjlpuCO1IxaiVSkroZlq5MspvZGZf72blGcfexbrahOeg4Xr7izofnWR0a8fX+h6NVn3f37Y+MerKSLt5xs3mlTmd22HWairK2USC1YqvFlttDpng+USB95NGqfM895h++3dabd5LyeWdZp5Fk5Ga/NhMja61CX/rQ6crADvl+r1xtr9g7pnsG9Ikpv1x1Mixrnf/V9j3q3j9Gkv7wclsX76SqBCpngqeZayQGvlWcuBnRi/kejZ5x5y/r+iQuZlQbSdVQev5sVWM1v+dxd8P5GrZ30+ch9q5303VILpPLey2Xpc1n80ZyWZJGK0bN1OrwAaMrdzMtta1aqVvhRS4P9m76PMTe9W66Dvd6Lr98Jda1+UT32lb1yOVyO7Xy5Aa6oj2ey8VK5CS1MvlxbiWbu3PZnYfOYCK5TC7fj3fT5yH2Lq5DAHDYUxa7woVrcbknTjHjt9BMpK+81lpRXmgjM1+HsV9H/+xIY1wJwCAvzeQbNxPYz/fTs5LmmyobmKHnVvH0H+v9HkcxS/PwmCfJ6Mbi2rNiu2///ocjvf9EpCDfJLVoYPrGNTDrkbvPRt4wacVub5Ysfz61vMHcXQrqwrVYF2fT8nn3z1o1Rmrl+97JSLXQ0+G8hNB6pZWKvWMK3Q2mrZa32qytzJLtvh4vXIt15W6qOLXyjLt+kyzTXNPtE3X7nlUzcfvfFOcts+48Frz82nP7I0ofeaSyooEp7Y7zBWBvIZfJ5b2Wy9Lms3m9XLayuruc6dLdVDcWM12+myn0rZJiULtvI15P5DKA4djLuex7Ru87HijwTVmWuBa4wcxMLpv3ei4bY5Rk7rtHYbPZnPUtgTBy58TzyGVyGQAA7FcMyu5j3ftrSPe/H0m/01OB2qkt98QZrRhV80ajJ6md2J6G2GIzUzu2Cn13PEdGPR0+4Guq7i7TYe/n0d9YuLHg9qvz89UqRXmoNHNliiq+yrI7p6f9gXuY3O9xSK4RXQmMsvxlub6QDty7pv/2kmsYBp4rj+Rm/BodqHgynpGs1UTN6ICr7KNGkjcQ5fb7qQxo4J+eCnSg4n4n9IxOT/uqh65x6RlpasTT8XFfWeb25onzxvBGSit5xujp42FPx0JxLrda3mor7qcT40BotNhyDcjl2OrHzkRaanf+3cqVxWqnnRnT/aWX1DVIm1npG28N3htpt5wvANuHXO5FLpPLha1m86BcLjrTJXeeFlpWs8vqlEmU1H82yGVgfyKXe/V/Fn/3eqI066x2LPYe9eTyJrN2T+eytVaVQHrudFR+tm82myNfqoduf13fuMlk1cAoMOQyuQwAAPYrBmX3qaLkzHr7a9yP0aqnD52KVMsbZ0fHA33qyZqm655GIqNaZMqGWHE8NxYzjVZ9PTTpSUa6MpdqsZ3p8Jg3tP08BjW2W4mVlz/UzJhrQB4Z9bSc7xlTCSTfK/ZRMTJyMzWHtffIVmZ5FrOofeNWFblVOO5YrZWi0Gi04inL8kZ03pmd5c/lw49UVjSaR6uefuxMVe89HOjskUDnT1f0wrmqDo8aPXo40H90pqJnT0eqRp0Z0+s1iguZtXr5Stzz3IrfL2Yd73Zv3EnKWbvtRPrX32n27J9U7H/YPRBb7JFY/N14rrEu5Z0xqR04i/zdcL4AdJDLvfqz+eSkr1bq9okll8nljRqUy93Pp1jBlHQ9lXzBlCRyGdjPyOVeG2kzf/iRioxnylW/tXDv5/KPnIz0g1tpeX+bzeZzR0I9f66qczOBfuhooEcPBXrhXEUjVY9cJpcBAMA+xaDsPrTYzPT1S61y35RrC6l+5zsNvTPvfrBaI2ArZsYDPX+2qoenAz1zIlToe3rhsapOHQx6GmIXZ5Pyy/LsUqZbi5luLLiGbpxIlcAMbUB2UGP75kImyerIqFeW5AkDV8KoKJsY5R3A9dCVSbpwLd6W0lCDbGWW5+mpoPz9h/IG/tG8wVgJpMm6p9nlTmdCLXKN5sg3spnV924kAxvNo1VPH3y4ovc95GbGjtV8ffyxun7kpPsdzxh97GxVD3Xti7OZRnH3cytstbzVaoY16/0jj1Y0WffKEsSpdSWVPCM3A7ur8WjkGpjvORjoI++NFPrud6uB0Sceq7jOmIoriTVoFvmDPF8Ahu+1G7HmGq4Mb9E59+adRKm1+yqXpcHZ/MatVIGRkkx65JBPLpPLGzIol02+Ummy5iZGSZ1cNpLee8jXRx8hl4H9jlzu2Gib+Xs3EjeYmW81UAvNns7l86cqeutu2vPZvpVsHqv5et9DFT19vKIfPlnReM0nl8llAACwjzEou88UDap2bGXy1XnLbbcvylKrswJlO/fX2Ehpm53a76O7cds/QzVOpNlGp9FxasovZ2QWq3S2o/zSRmxllud6e72cO9xptBbP56GJQPXQqJI3bAa9VhtpoN1vo3i7zu+gY/3W2y39/pvDmfUeeJ6eP1uRbyTZfGWs66uQ7+UlmPIlscWeRbJWMxOB/tTjVR064OljZyuarAeuM2Y6WHUW+TDOF4CdsdjMNLucylpb7o96d9mqnbpsnhrx9k0uS6tns+8ZBUZ68S33uX5mOtB4zaiVuDK95PLuz+VBxzvfSPWl15q6dCd5ILksKxkryRi312FfLt++l+nwuE8uA/sYudxro23m7s/BQwf2fnt5tOoN/GxfL5vJ5dWRywAAAJKxlpodu8nCwoLGx8c1Pz+vsbGxbb//V662dXnWNaCstbrXtuVeHZJUD43+xCMVvT2X6omjrjGQWVvujTKs2beSlGZWX329t3xNFEgfebQq3xvOfh+ZdQ2M7hmUxbHEmZtxfHTM19PHQ718JdY7c4kSK33s0YrGav4DOzfdr5vkzkv3eTox5Zf74mzGYjPTxdlkw691OaifuIZNcV6uL6SKApUNotXOq+Ru98yJwQ3NzR7Pes9t0LG+eSdRnFoFnlSPPFUCqZXI7UcYSKemgy2dS0lKskz/7nstzS1nZanifkZugLb4t8g3Ontka4+5nedrNxr25yGwEQ/iOiw+4621WmzlHXj5v3mS3nPQVzXy9kUuS5vL5m9eauvKfKrxqnT+dFUjFUMu79JcXu14v/RqU3eWMxm5ihKTdU/txOVkI7Y6PeXrh09WNv1Y0uBczvuBS0ZS4HdKJkrSoQOeXjhX29LzI5eB4SKXyeVBhpXL0uY+28nltZHL24tcxm7AdQgAzmY+DxmU3WWGHWbFl/9r84mWY9eIKoSeUTWU4tSq4rs9bVZrRAzruDbbKNkOgxq3rdQqyve+kba3UbcVG23cDdtGG7vDbBRv5VhTa5VmUugbpVmmhaZr+FUCaSTytNy2ijOraiA9f7aqsZq/9p2v4ouvNnTrXt7AtCsbmJLbh2isZrTYdNfeRN3ox85U3xWNwu3Gl3vsBg/iOsys1R++3XaTRvoWHwSeFJi8w3Of5LK0+7OZXL6/402tVSuRJmpGrdjqXuzKgRq5a70eGS233fKZiZrR+dNby8mN5LJvpMeO+ro2bzXXyOQb6cPvrWhmnBU0/chl7AbkMrk8CLl8f8dLLu9N5DJ2A65DAHA283nIKMA+U5TJaWfqaWD6RqpHrgRgM5EaycrSRBvZO2ere49sZr+P7dzfZLUyR5Gnsryz9GDLQw2ykdJKD8JGy2YNKhU0Vfe0HFuFvtXpqWDb9qVZ71hT68qMLceu/Fg77XQctBNpoZkpzqw8SRXf6NLdlR0dG/XU0VC+cR+s1dA1av2uvpHQc3vIPn+uqrNHAr33cLCtA7LD2vsHwHB5xuSTRrp+VvwxUjPdP7lc3H63ZzO5vPXjnRrxtNRyZUDvLrvN5NL8UrNykwMXm5nSzKoeGsWp2fLejevlsm+kRw/5evqhij7+WEWHDnjb2vFLLgN7E7nci1zeOHJ5beQyAAAAg7L7TtGgCkznxQ896UBkZIxUC6VqYFTJ2xGbaVgVs1O3slfnRvf7uJ/HGGS1xq0xRjazitPeeZtr7fEybBvZa6gwrMbGRve+6W8UL7etFttZ/m++6pHZtn1p1jvWNOuUG4szqyR1+ylLrpFZvMSZJOMZPT7TudY2ew5nxgN9+L0VHRr19GeerKoaGo1VjQJPGq1IBw94euZEpMDz9L6HIn3w4e3rINju9waAByfL96wrhJ40WjGu1LndX7ks7Z1s3kwuS8PJ5r2Uy8Xx1roW/sSZ1ULDrZgpXr2s689ybHVk1JUIHUYuHx719P6HK/KMUeC50ojb2fFLLgN7E7nci1zeuP2Uy9LmzyG5DAAAwKDsvlM0qHzPaCQyqoVG9dCUDaooMPro2YpqUW8DaiMNq4uzSdko3eys4Y3ObL2fxxhktcattVat1Mrve4e0E+nlK3HZ6NiN1mtsXJ9Pttz4XG2W9KDz0t0ovjibKE5c6d4rc6m+8lpD1xfcPk1zDatXb8babsWxhr5R2LXHUmI7+9MYqZyZ68l1snz3erLlBttiM9PNpUwfebSiC1dTtWKrZuImPUS+ty3Xz2oN39duxNv63gDw4Fy4Fmt2OdNIZBT5RhM1l8tFPp+Y8PdNLkv7L5t//82m/uCt1rs+l4vjTVL17H2YqrPKyjPqWTFTbD2w1LK7NpeLx+nP5q9faqkRu7+Ty8DeQi73IpfJ5fLf8lz2jNlSm5lcBgAAYFB23+luUD00EejPPFnT0XzmYSU0evZkpB/cSjfUiOi30VI9q9nIzNb7fYxBjzmocRuFrmSVnx/LWuWhdpu1GuKNttXXLrW3PDt0M2Wzuj1xNNRU3dNS25VFmmtYWetKClsr3V3Otn1manGsRq40d9GYNLbTyAx9ty9U6LmZv63EqhlnevXm5gc4uxulX361Ve7b3E7d80yzTgNwq9fPWg3f2eVUUyOd98pOl9wGsHFFNvue0ZnpQB89W9PMmC9jjMZrrnzifsnl4nH3SzanmdXcstXFfZDLxfHeWMhUj0xZCrTo67X5fxe5XPzsylyi791o78pc7n+c7tewHbvVY2n+HiWXgb2DXF75uOQyuVz87MpcooVGuukJAOQyAACAw6DsPrPeDNu37qZbakRIGy/Vcz+G8RiDGrfnT1VUC93f1yoPtRut1RCPAjfbW9ra7NCNls3q5xmjetds8jiTFltWaeYGTOMhzEwtjtXK7XV0IDIKPckWg7OS4lRKMrdCNvKN4tTqrdlMd5czTdU3N8DZ3Shtp1b32lZxJoWe0YGKpyjodFZs9fpZq+Ebp6701DDffwCGY61snqx7ml3udMLth1yW9k82t/LVKbXQvOtzuTjeMJCW225l1WjFKOqcFqXWZbNnXC57RpprWl2Z25253P843a+hMUaVvj0pi8cjl4HdjVxeiVwml7tz+cuvt3Ry0t/UBAByGQAAwGFQdh9aa4btVhsR0uZK9WzVg3gMaePloTZjWPu89lurIf7RsxUdvc/Z2Vs5L5l1s1K7S1uV+9K0rY6Meds+M7U41iiQbGbLkmO1UAqMyinAgecGbZPUzUKu+FKcuMbvZjozuhv2ft6ojnz3/0fHfH3sXOW+rp/+x5B6X78jo56SdGuz9gHsvNWy+dzhkFzObXc2P6hcllbP5vGqdHraL1elvJtzuTjeybonY1SWAZ2oGVWDzsocY9x+jZ6xSq1rrARmd+Zy/+NIndfQWivjuVVk3chlYG8gl9dHLq+0n3L5rbvppiYAkMsAAAAOg7LocT8Nq62W6tmMB/EYhY2Uh9qore5RuhVrNcRfeSfRUw8F9zVzeivn5cK1WDcWM9XDTlmkQppZBb6GMjN1tOrp/KmKKvkM7qPjgf7cU3Wdng5UDdwAbTVwg7WB7/ZZ9j2jI2Oe4tRuqjOjv2Hv54PAlfzcBp635etntccoRIHb2+fGwtZm7QPYvcjlXtuVzQ8yl6XVszlOV5Z8LP7+bsxlSTp3OCz3Z5wZ8/XRszW952CosapR6EsjocrVLFGezccm/F2Zy4Mepzy2vBJHcRbJZeDdgVzuRS6vtB9y+aGJQI/PBJuaAEAuAwAAOAzKYoWtNqzuZ5XtRm30MR7kLNuN2Ox+K/djrYb4tflEX3mttalOze04l6enAoW+2yvG94xGq55Cr9OobLQ1tJmpgzpOnj0d6eyRQB87V1UtMuUqWt9zq3ACX7qxuLkBzp2e+b7ctgqH/P4DsDPeDbks7a5sfpC5LK2ezdZaXbyTaK7RmxH7LZefORHq9MFAf/LxquoVd12XFS4is2tzea3HCYzbq96KXAbebcjl7Ucu761cfvp4qO9eTzY1AYBcBgAAcBiUxbYZRsnfrTzGg55luxFrlZ3dSBmkzVirId7O3P4thfUaTtt1LkernqbqvmvIRUZG0mQ9n2lbMZpdyoY6M3VQx8mpSV8vXmyrVZQzkrQcWzViq0ZbCn13njbaYNvpme+zy5km695Q338A9pbdksvSg18Bs54HmcvS6tncSKQ0kyr5v5HLeyuX13oc33N72UeByGUAksjltZDLuy+Xnzga6nvX3QB10YNgJc01rL75VlunJv1NTTIglwEAABy+dWBbbWfJ360+xoOeZbsRa5Wd3WgZpI1aqyH+oVORankp3400nLbzXJ49kpdF6nrsM9OBfGMe+MzUxWamL7/e0p3lTMtt18hsJVbt1GqpZXXrXqqpur+pDpPdMPP93OFw6O8/AHvLbshlafdl84PMZWn1bD417Wui7snPSwaSy3srl9d7nFpkdP5UhVwGUCKXByOXd1cuS9Ifvt3WpTuJ2qktqzItt102X7qT6PWbyaYmGZDLAAAAjrGW3ex3k4WFBY2Pj2t+fl5jY2M7fTh7Umbd7NTu2ZGFmTHXYBjWfiyrWWik+trFtpLM7WFiJTViq0ogPTQePJBjWmxmujib6OSkr7fupnp8JtB3ryc6Nenr0t1Up6eCFY2R7T6XxTE8cdTdLrNWF67FAx97mF652tal24mW2laZpGogVXyj5dgqzqRaaPT82eqW9kIa9vPbLefwQeDzELsB1+H22G3ZTC73HsNOZ8pezuUH+Tg7jc9D7AZch9uDXF6JXO71rbdbeuNmokxS6EkTNaO5hstlT9J7Dwf64MOVTd0nuby9+DzEbsB1CADOZj4PGZTdZQiz7ZFmVl99vdlT9igKpI88WpXvPdgB2cVmpi+91lQjtgo9V46olVg1EytP0kjF6NR0oKeORUM9hhcvub1kZ8Z8PX081MtXXOMxCrRmuZ7ddC63S9F4fmcuUSuVaoHbI8daq8A3On860njNX/+OMFR8HmI34DrcPrslT8jl3Ydc3hv4PMRuwHW4fXZLnpDLu1Nmrb5xsa0r82lPLjcS6fi4r2dPRw98sjt68XmI3YDrEACczXwevnumiAG5zFq9fCXuaRRJrnzQy1diZQ94HsLF2USBcW+2OLNqJZkqvpttmklKsuGXItpqWaXddi63S1EeqxYZ1UMjkzcmK6HR8+eqdPwCwDbbTXlCLu8+5DIAPFi7KU/I5d3JM0Y/cipyJZXzXDbGaKLmfs6ALAAAwNYwKIt3nQvXessHde9Lc30h1YVr8QM9nieOhnpoItBIZBT5RhXfNWrqodF03dNHH1191u12HkOxj4qknkbjzJivJ46GA2+3287ldnnQjefFZqZXrrbL+82s1StX21psZtv6OACwW+2mPCGXdx9yGQAerN2UJ+Ty7vQgs5lcBgAA+wmDsnjXOT0VlI2hmTFfH3m0WjawomD4s2z77YbVH8UxRH1PPQqkp4+vvs/NbjuX22Wzjef7aSQWpbAuz6Z66XKsNHMlGi/PpnrxUouGJoB9YTflCbm8+5DLAPBg7aY8IZd3p81kM7kMAACwcXtqUPbu3bv69Kc/rfHxcY2Pj+vTn/605ubm1ryNtVa/8Au/oGPHjqlWq+nDH/6w/viP/7jnd1qtlv7aX/trOnjwoEZGRvSpT31KV65cKf/9d3/3d2WMGfjnW9/6Vvl7g/79137t17b1HGB9o1VPz52q6MSUr2dOhPI9o2dOhDox5a+5F8yw7IaSRls9ht12LrfLZhrP99tI3GopLAB4N9lNeUIu7z7kMgA8WLspT8jl3Wmj2UwuAwAAbI6xdu9scvEn/+Sf1JUrV/SP/tE/kiT97M/+rE6dOqXPf/7zq97mV37lV/R3/s7f0W/+5m/q0Ucf1f/4P/6P+n/+n/9Hr732mkZHRyVJf/kv/2V9/vOf12/+5m9qenpan/vc5zQ7O6tvf/vb8n1f7XZbs7OzPff73/w3/42+/OUv68033+zZX+M3fuM39IlPfKL8vfHxcdVqtQ0/RzZIf/d55Wpbl2d7Z5h2N/ZOTPl66lj0rj+G3WaxmenibKInjrqZz5m1unAt1umpoKfxfL/nLrOuUdo9y7gwM+Ya7+zHMxifh9gNuA7ffXZDJu6GY9htyOXdj89D7AZch+8+uyETd8Mx7EYbyWZyeefweYjdgOsQAJzNfB7umWl73/ve9/SFL3xB/+Sf/BOdP39e58+f1z/+x/9Y/9f/9X/ptddeG3gba63+3t/7e/pbf+tv6c//+T+vJ554Qv/b//a/aXl5Wf/H//F/SJLm5+f167/+6/pf/9f/VR/72Mf0zDPP6H//3/93fec739GXv/xlSVIURZqZmSn/TE9P63d+53f0F/7CXygHZAsTExM9v7uZAVm8O+2Gkka74Rh2m9Gqp6eORWUDzzNGTx2LVsxm3ur+QoWtlsICAAzHbsjE3XAMuw25DAD7027IxN1wDLvRRrKZXAYAANicPTMo+/Wvf13j4+N69tlny58999xzGh8f19e+9rWBt7l48aKuX7+uF154ofxZpVLRj//4j5e3+fa3v604jnt+59ixY3riiSdWvd/f+Z3f0e3bt/XTP/3TK/7t537u53Tw4EF98IMf1K/92q8py9Yu1dJqtbSwsNDzB+8uu6Gk0W44hr3qfhuJu6EcF4CNI5ff/XZDJu6GY9iryGVgfyGX3/12QybuhmPYq8hlYH8hlwHg/u2Zb5bXr1/X4cOHV/z88OHDun79+qq3kaQjR470/PzIkSPlv12/fl1RFGlycnLV3+n367/+6/r4xz+uEydO9Pz8f/gf/gf9y3/5L/XlL39ZP/mTP6nPfe5z+qVf+qU1n9cv//Ivl3vkjo+Pr7hPvDtsdPXHu/0Y9qL7bSReuNZbiqm7sXp9IdWFa/F2Hi6A+0Qu7w+7IRN3wzHsReQysL+Qy/vDbsjE3XAMexG5DOwv5DIA3L8d/3b5C7/wCzLGrPnnD/7gDyRpRalgyZUoHvTzbv3/vpHbrPY7V65c0b/7d/9OP/MzP7Pi3/723/7bOn/+vJ5++ml97nOf0y/+4i/qf/6f/+c1H+fnf/7nNT8/X/65fPnymr8PPEiLzUyvXG2XDanMWr1yta3F5torwN9N7reRSCksYG8hl7GbkcvkMrDfkMvYzchlchnYb8hlALh/O/7t5ud+7uf0kz/5k2v+zqlTp/TKK6/oxo0bK/7t1q1bK1bCFmZmZiS51bBHjx4tf37z5s3yNjMzM2q327p7927PatmbN2/qQx/60Ir7/I3f+A1NT0/rU5/61LrP7bnnntPCwoJu3Lix6jFWKhVVKpV17wt40BabmV681FI7keLElR56+YprcN1YSPdNGafTU4FuLKRqJ66R2H0eNtJILEphXZxN9MRRV77pmROhLlxzt90P5xDYS8hl7FbkskMuA/sLuYzdilx2yGVgfyGXAeD+7fi3m4MHD+rcuXNr/qlWqzp//rzm5+f1zW9+s7ztN77xDc3Pzw8cPJWk06dPa2ZmRl/60pfKn7Xbbf3e7/1eeZsPfOADCsOw53euXbumCxcurLhfa61+4zd+Q//Zf/afKQzDdZ/bSy+9pGq1qomJic2cEmBXuDiblCWIri+k+urrzXIGbDtx/75THuSM5O3YX4hSWACA+0UuO+QyAGA3IJcdchkAAGBzdnyl7EY99thj+sQnPqHPfOYz+of/8B9Kkn72Z39Wn/zkJ3X27Nny986dO6df/uVf1p/7c39Oxhh99rOf1S/90i/pkUce0SOPPKJf+qVfUr1e10/91E9JksbHx/UzP/Mz+tznPqfp6WlNTU3pb/yNv6Enn3xSH/vYx3qO4atf/aouXrw4sHTx5z//eV2/fl3nz59XrVbTv//3/15/62/9Lf3sz/4sM4iwJz1xNFScqKdhWZgZ8/XE0fUnJgzDTsxILhqJhaKRCADAg0Iud5DLAICdRi53kMsAAAAbt2cGZSXpn/2zf6a//tf/ul544QVJ0qc+9Sn9/b//93t+57XXXtP8/Hz597/5N/+mGo2G/spf+Su6e/eunn32WX3xi1/U6Oho+Tu/+qu/qiAI9BM/8RNqNBr66Ec/qt/8zd+U7/s99/3rv/7r+tCHPqTHHntsxbGFYah/8A/+gf7L//K/VJZlOnPmjH7xF39Rf/Wv/tXtPAXAA+MZo6ePh/rq62lPAzMKXMPOW2df5mFZOSO5c3zFjGQagACAdxtyGQCA3YNcBgAAwFYYa/N6JtgVFhYWND4+rvn5eY2Nje304WAfy6zVS5fjcuZvt5kxV5poJxqau/W4sP34PMRuwHWI3WK35t9uPS5sPz4PsRtwHWK32K35t1uPC9uPz0PsBlyHAOBs5vOQDRoADHThWm9DLupaV399IdWFa/EOHFVnRnLUt85/p2ckAwAwTOQyAAC7B7kMAACArWBQFsBAp6eCsiE3M+brI49WNTPmSnpHgfv3nZBZq5evxD0loiRXiunlK7EyFv8DAN6FyGUAAHYPchkAAABbwaAsgIFGq56eO1XRiSlX4sj3jJ45EerElK/nTlU0Wt2Zj4/dOiMZAIBhIpcBANg9yGUAAABsBYOyAFY1WvX01LGoLHHkGaOnjkU71sCUdu+MZAAAho1cBgBg9yCXAQAAsFkMygLYUx70jOTFZqZXrrbLMk+ZtXrlaluLzWxbHwcAgL2IXAYAYPcglwEAAHY3psgB2HOKGcmFYkbydltsZnrxUkvtRIoT6enjoV6+4spB3VhId7QsFQAAuwW5DADA7kEuAwAA7F58OwKAVVycTdRO3H9fX0j11deb5f487cT9OwAAeDDIZQAAdg9yGQAAYPMYlAWAVTxxNCz335FUNjgltz/PE0fDHTgqAAD2J3IZAIDdg1wGAADYPAZlAWAVnjF6+nioqK/QexS40kyeMTtzYAAA7EPkMgAAuwe5DAAAsHkMygLAKjJr9fKVuGfGr+RmAL98JVZm7c4cGAAA+xC5DADA7kEuAwAAbB6DsgCwigvX4nJPHEk9M4CvL6S6cC3egaMCAGB/IpcBANg9yGUAAIDNY1AWAFZxeiooG5YzY74+8mi13DMnCty/AwCAB4NcBgBg9yCXAQAANo9vSACwitGqp+dOVXRxNtETR92eOM+cCHXhmmtgjlaZ1wIAwINCLgMAsHuQywAAAJvHoCwArGG06umpY1H5d8+Ynr8DAIAHh1wGAGD3IJcBAAA2h2lrAAAAAAAAAAAAADBEDMoCAAAAAAAAAAAAwBAxKAsAAAAAAAAAAAAAQ8SgLAAAAAAAAAAAAAAMEYOyAAAAAAAAAAAAADBEDMoCAAAAAAAAAAAAwBAFO30A6GWtlSQtLCzs8JEAwM4qPgeLz0VgJ5DLAOCQy9gNyGUAcMhl7AbkMgA4m8llBmV3mcXFRUnSiRMndvhIAGB3WFxc1Pj4+E4fBvYpchkAepHL2EnkMgD0Ipexk8hlAOi1kVw2lilVu0qWZbp69apGR0dljNnpw9kzFhYWdOLECV2+fFljY2M7fTh7Eudwe3Ae719xDt9++20ZY3Ts2DF5HtX2sTPI5a3hs3B7cB7vH+fw/pHL2E3I5a3hs3B7cB7vH+fw/pHL2E3I5a3j8/D+cQ7vH+fw/m0ll1kpu8t4nqfjx4/v9GHsWWNjY3yA3CfO4fbgPN6/8fFxziF2HLl8f/gs3B6cx/vHObx/5DJ2A3L5/vBZuD04j/ePc3j/yGXsBuTy/ePz8P5xDu8f5/D+bSaXmUoFAAAAAAAAAAAAAEPEoCwAAAAAAAAAAAAADBGDsnhXqFQq+u/+u/9OlUplpw9lz+Icbg/O4/3jHAJ7H+/j7cF5vH+cw/vHOQT2Pt7H24PzeP84h/ePcwi8O/Bevn+cw/vHObx/WzmHxlprh3hMAAAAAAAAAAAAALCvsVIWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIaIQVkAAAAAAAAAAAAAGCIGZQEAAAAAAAAAAABgiBiUBQAAAAAAAAAAAIAhYlAWAAAAAAAAAAAAAIYo2OkDQK8sy3T16lWNjo7KGLPThwMAO8Zaq8XFRR07dkyexxwi7AxyGQAcchm7AbkMAA65DADA3sSg7C5z9erV/3979x/cVX3ni/+VQgjIwKdIloSsFKLDgiy2vYZuCHut2GqAFlmtd4VlJ9VZizKKGpDR+qMjZW9B7FadXlRal9LaWmG6lK57ixSYVq5eAiKLvxC99koLtvmIsPCJdrgJwvn+wZfP9mNCBMMxCX08Zs5o3p/XOed93vPhvGCeOZ9PDBkypLOnAdBl7N69O84666zOngZ/ovRlgEL6Mp1JXwYopC8DQPcilO1i+vXrFxFH/1LVv3//Tp4NQOdpamqKIUOG5O+L0Bn0ZYCj9GW6An0Z4Ch9GQC6J6FsF3PsI5j69+/vH5kAET6ajk6lLwMU0pfpTPoyQCF9GQC6F186AAAAAAAAAJAioSwAAAAAAABAioSyAAAAAAAAACkSygIAAAAAAACkSCgLAAAAAAAAkCKhLAAAAAAAAECKhLIAAAAAAAAAKRLKAgAAAAAAAKRIKAsAAAAAAACQIqEsAAAAAAAAQIqEsgAAAAAAAAApEsoCAAAAAAAApEgoCwAAAAAAAJAioSwAAAAAAABAioSyAAAAAAAAACkSygIAAAAAAACkSCgLAAAAAAAAkCKhLAAAAAAAAECKhLIAAAAAAAAAKRLKAgAAAAAAAKRIKAsAAAAAAACQIqEsAAAAAAAAQIqEsgAAAAAAAAApEsoCAAAAAAAApEgoCwAAAAAAAJAioSwAAAAAAABAioSyAAAAAAAAACkSygIAAAAAAACkSCgLAAAAAAAAkCKhLAAAAAAAAECKumUo+9BDD0VlZWX07t07qqqq4umnn263fsOGDVFVVRW9e/eOs88+O5YsWdKqZuXKlTFq1KgoKSmJUaNGxapVqwpeHzZsWBQVFbXabrjhhnzN1Vdf3er1sWPHnpqLBgAAAAAAALqlbhfKrlixIurr6+POO++Mbdu2xQUXXBCTJk2KXbt2tVm/c+fO+MIXvhAXXHBBbNu2Le6444646aabYuXKlfmahoaGmDp1atTV1cULL7wQdXV1ceWVV8bmzZvzNVu2bInGxsb8tm7duoiI+Nu//duC802cOLGgbvXq1SmsAgAAAAAAANBdFCVJknT2JE5GdXV1nH/++fHwww/nx84999y47LLLYuHCha3qb7vttnjiiSdix44d+bGZM2fGCy+8EA0NDRERMXXq1Ghqaoonn3wyXzNx4sQYMGBAPP74423Oo76+Pv7n//yf8frrr0dRUVFEHH1S9sCBA/Gzn/3shK+nubk5mpub8z83NTXFkCFDIpfLRf/+/U/4OACnm6ampshkMu6HfKT0ZYC26ct0Bn0ZoG36MgB0T93qSdmWlpbYunVr1NbWFozX1tbGxo0b29ynoaGhVf2ECRPiueeei0OHDrVbc7xjtrS0xI9+9KP4h3/4h3wge8xTTz0VgwYNir/4i7+IGTNmxJ49e9q9poULF0Ymk8lvQ4YMabceAEiPvgwAXYe+DAAAnE66VSi7d+/eOHz4cJSVlRWMl5WVRTabbXOfbDbbZv17770Xe/fubbfmeMf82c9+FgcOHIirr766YHzSpEnx2GOPxS9/+cv41re+FVu2bInPfe5zBb/Z+36333575HK5/LZ79+7j1gIA6dKXAaDr0JcBAIDTSc/OnsCH8f6nU5MkaTX2QfXvHz+ZYy5dujQmTZoUFRUVBeNTp07N///o0aNjzJgxMXTo0Pj5z38eX/rSl9o8VklJSZSUlBx37gDAR0dfBoCuQ18GAABOJ90qlC0tLY0ePXq0eoJ1z549rZ50Paa8vLzN+p49e8bAgQPbrWnrmL/97W9j/fr18dOf/vQD5zt48OAYOnRovP766x9YCwAAAAAAAJyeutXHF/fq1Suqqqpi3bp1BePr1q2LcePGtblPTU1Nq/q1a9fGmDFjori4uN2ato65bNmyGDRoUHzxi1/8wPnu27cvdu/eHYMHD/7AWgAAAAAAAOD01K1C2YiIOXPmxD//8z/H9773vdixY0fMnj07du3aFTNnzoyIo9858+UvfzlfP3PmzPjtb38bc+bMiR07dsT3vve9WLp0acydOzdfc/PNN8fatWtj0aJF8eqrr8aiRYti/fr1UV9fX3DuI0eOxLJly+Kqq66Knj0LHzJ+9913Y+7cudHQ0BC/+c1v4qmnnopLL700SktL4/LLL09vQQAAAAAAAIAurVt9fHHE0e9t3bdvX8yfPz8aGxtj9OjRsXr16hg6dGhERDQ2NsauXbvy9ZWVlbF69eqYPXt2PPjgg1FRURHf/va344orrsjXjBs3LpYvXx533XVXfO1rX4tzzjknVqxYEdXV1QXnXr9+fezatSv+4R/+odW8evToES+99FI8+uijceDAgRg8eHBcdNFFsWLFiujXr19KqwEAAAAAAAB0dUVJkiSdPQn+U1NTU2QymcjlctG/f//Ong5Ap3E/pCvwPgQ4yv2QrsD7EOAo90MA6J663ccXAwAAAAAAAHQnQlkAAAAAAACAFAllAQAAAAAAAFIklAUAAAAAAABIkVAWAAAAAAAAIEVCWQAAAAAAAIAUCWUBAAAAAAAAUiSUBQAAAAAAAEiRUBYAAAAAAAAgRUJZAAAAAAAAgBQJZQEAAAAAAABSJJQFAAAAAAAASJFQFgAAAAAAACBFQlkAAAAAAACAFAllAQAAAAAAAFIklAUAAAAAAABIkVAWAAAAAAAAIEVCWQAAAAAAAIAUCWUBAAAAAAAAUiSUBQAAAAAAAEiRUBYAAAAAAAAgRUJZAAAAAAAAgBQJZQEAAAAAAABSJJQFAAAAAAAASJFQFgAAAAAAACBFQlkAAAAAAACAFHXLUPahhx6KysrK6N27d1RVVcXTTz/dbv2GDRuiqqoqevfuHWeffXYsWbKkVc3KlStj1KhRUVJSEqNGjYpVq1YVvD5v3rwoKioq2MrLywtqkiSJefPmRUVFRfTp0yfGjx8f27dv7/gFAwAAAAAAAN1WtwtlV6xYEfX19XHnnXfGtm3b4oILLohJkybFrl272qzfuXNnfOELX4gLLrggtm3bFnfccUfcdNNNsXLlynxNQ0NDTJ06Nerq6uKFF16Iurq6uPLKK2Pz5s0Fx/rLv/zLaGxszG8vvfRSwev33ntv3HfffbF48eLYsmVLlJeXxyWXXBLvvPPOqV8IAAAAAAAAoFsoSpIk6exJnIzq6uo4//zz4+GHH86PnXvuuXHZZZfFwoULW9Xfdttt8cQTT8SOHTvyYzNnzowXXnghGhoaIiJi6tSp0dTUFE8++WS+ZuLEiTFgwIB4/PHHI+Lok7I/+9nP4vnnn29zXkmSREVFRdTX18dtt90WERHNzc1RVlYWixYtiuuuu+6Erq+pqSkymUzkcrno37//Ce0DcDpyP6Qr8D4EOMr9kK7A+xDgKPdDAOieutWTsi0tLbF169aora0tGK+trY2NGze2uU9DQ0Or+gkTJsRzzz0Xhw4darfm/cd8/fXXo6KiIiorK2PatGnxxhtv5F/buXNnZLPZguOUlJTEhRdeeNy5RRwNbpuamgo2AKBz6MsA0HXoywAAwOmkW4Wye/fujcOHD0dZWVnBeFlZWWSz2Tb3yWazbda/9957sXfv3nZr/viY1dXV8eijj8YvfvGLeOSRRyKbzca4ceNi3759+WMc2+9E5xYRsXDhwshkMvltyJAh7S0BAJAifRkAug59GQAAOJ10q1D2mKKiooKfkyRpNfZB9e8f/6BjTpo0Ka644oo477zz4uKLL46f//znERHxgx/8oENzu/322yOXy+W33bt3H7cWAEiXvgwAXYe+DAAAnE56dvYETkZpaWn06NGj1ZOne/bsafWE6jHl5eVt1vfs2TMGDhzYbs3xjhkR0bdv3zjvvPPi9ddfzx8j4ugTs4MHDz7h45SUlERJSclxXwcAPjr6MgB0HfoyAABwOulWT8r26tUrqqqqYt26dQXj69ati3HjxrW5T01NTav6tWvXxpgxY6K4uLjdmuMdM+Lod9vs2LEjH8BWVlZGeXl5wXFaWlpiw4YN7R4HAAAAAAAAOL11qydlIyLmzJkTdXV1MWbMmKipqYnvfve7sWvXrpg5c2ZEHP14o9/97nfx6KOPRkTEzJkzY/HixTFnzpyYMWNGNDQ0xNKlS+Pxxx/PH/Pmm2+Oz372s7Fo0aL4m7/5m/jXf/3XWL9+fTzzzDP5mrlz58all14an/jEJ2LPnj3x3//7f4+mpqa46qqrIuLoxxbX19fHggULYvjw4TF8+PBYsGBBnHHGGTF9+vSPcIUAAAAAAACArqTbhbJTp06Nffv2xfz586OxsTFGjx4dq1evjqFDh0ZERGNjY+zatStfX1lZGatXr47Zs2fHgw8+GBUVFfHtb387rrjiinzNuHHjYvny5XHXXXfF1772tTjnnHNixYoVUV1dna9588034+/+7u9i79698Wd/9mcxduzY2LRpU/68ERG33nprHDx4MK6//vrYv39/VFdXx9q1a6Nfv34fwcoAAAAAAAAAXVFRkiRJZ0+C/9TU1BSZTCZyuVz079+/s6cD0GncD+kKvA8BjnI/pCvwPgQ4yv0QALqnbvWdsgAAAAAAAADdjVAWAAAAAAAAIEVCWQAAAAAAAIAUCWUBAAAAAAAAUiSUBQAAAAAAAEiRUBYAAAAAAAAgRUJZAAAAAAAAgBQJZQEAAAAAAABSJJQFAAAAAAAASJFQFgAAAAAAACBFQlkAAAAAAACAFAllAQAAAAAAAFIklAUAAAAAAABIkVAWAAAAAAAAIEVCWQAAAAAAAIAUCWUBAAAAAAAAUiSUBQAAAAAAAEiRUBYAAAAAAAAgRUJZAAAAAAAAgBQJZQEAAAAAAABSJJQFAAAAAAAASJFQFgAAAAAAACBFQlkAAAAAAACAFAllAQAAAAAAAFIklAUAAAAAAABIkVAWAAAAAAAAIEXdMpR96KGHorKyMnr37h1VVVXx9NNPt1u/YcOGqKqqit69e8fZZ58dS5YsaVWzcuXKGDVqVJSUlMSoUaNi1apVBa8vXLgwPvOZz0S/fv1i0KBBcdlll8Vrr71WUHP11VdHUVFRwTZ27NiOXzAAAAAAAADQbXW7UHbFihVRX18fd955Z2zbti0uuOCCmDRpUuzatavN+p07d8YXvvCFuOCCC2Lbtm1xxx13xE033RQrV67M1zQ0NMTUqVOjrq4uXnjhhairq4srr7wyNm/enK/ZsGFD3HDDDbFp06ZYt25dvPfee1FbWxt/+MMfCs43ceLEaGxszG+rV69OZyEAAAAAAACAbqEoSZKksydxMqqrq+P888+Phx9+OD927rnnxmWXXRYLFy5sVX/bbbfFE088ETt27MiPzZw5M1544YVoaGiIiIipU6dGU1NTPPnkk/maiRMnxoABA+Lxxx9vcx5vv/12DBo0KDZs2BCf/exnI+Lok7IHDhyIn/3sZx/6+pqamiKTyUQul4v+/ft/6OMAdHfuh3QF3ocAR7kf0hV4HwIc5X4IAN1Tt3pStqWlJbZu3Rq1tbUF47W1tbFx48Y292loaGhVP2HChHjuuefi0KFD7dYc75gREblcLiIizjzzzILxp556KgYNGhR/8Rd/ETNmzIg9e/a0e03Nzc3R1NRUsAEAnUNfBoCuQ18GAABOJ90qlN27d28cPnw4ysrKCsbLysoim822uU82m22z/r333ou9e/e2W3O8YyZJEnPmzIn/+l//a4wePTo/PmnSpHjsscfil7/8ZXzrW9+KLVu2xOc+97lobm4+7jUtXLgwMplMfhsyZMjxFwAASJW+DABdh74MAACcTrpVKHtMUVFRwc9JkrQa+6D694+fzDFnzZoVL774YquPNp46dWp88YtfjNGjR8ell14aTz75ZPyf//N/4uc///lx53b77bdHLpfLb7t37z5uLQCQLn0ZALoOfRkAADid9OzsCZyM0tLS6NGjR6snWPfs2dPqSddjysvL26zv2bNnDBw4sN2ato554403xhNPPBH/63/9rzjrrLPane/gwYNj6NCh8frrrx+3pqSkJEpKSto9DgDw0dCXAaDr0JcBAIDTSbd6UrZXr15RVVUV69atKxhft25djBs3rs19ampqWtWvXbs2xowZE8XFxe3W/PExkySJWbNmxU9/+tP45S9/GZWVlR8433379sXu3btj8ODBJ3R9AAAAAAAAwOmnW4WyERFz5syJf/7nf47vfe97sWPHjpg9e3bs2rUrZs6cGRFHP97oy1/+cr5+5syZ8dvf/jbmzJkTO3bsiO9973uxdOnSmDt3br7m5ptvjrVr18aiRYvi1VdfjUWLFsX69eujvr4+X3PDDTfEj370o/jxj38c/fr1i2w2G9lsNg4ePBgREe+++27MnTs3Ghoa4je/+U089dRTcemll0ZpaWlcfvnlH83iAAAAAAAAAF1Ot/r44oij39u6b9++mD9/fjQ2Nsbo0aNj9erVMXTo0IiIaGxsjF27duXrKysrY/Xq1TF79ux48MEHo6KiIr797W/HFVdcka8ZN25cLF++PO6666742te+Fuecc06sWLEiqqur8zUPP/xwRESMHz++YD7Lli2Lq6++Onr06BEvvfRSPProo3HgwIEYPHhwXHTRRbFixYro169fiisCAAAAAAAAdGVFSZIknT0J/lNTU1NkMpnI5XLRv3//zp4OQKdxP6Qr8D4EOMr9kK7A+xDgKPdDAOieut3HFwMAAAAAAAB0J0JZAAAAAAAAgBQJZQEAAAAAAABSJJQFAAAAAAAASJFQFgAAAAAAACBFQlkAAAAAAACAFAllAQAAAAAAAFIklAUAAAAAAABIkVAWAAAAAAAAIEVCWQAAAAAAAIAUCWUBAAAAAAAAUiSUBQAAAAAAAEiRUBYAAAAAAAAgRUJZAAAAAAAAgBQJZQEAAAAAAABSJJQFAAAAAAAASJFQFgAAAAAAACBFQlkAAAAAAACAFAllAQAAAAAAAFIklAUAAAAAAABIkVAWAAAAAAAAIEVCWQAAAAAAAIAUCWUBAAAAAAAAUiSUBQAAAAAAAEiRUBYAAAAAAAAgRUJZAAAAAAAAgBR1y1D2oYceisrKyujdu3dUVVXF008/3W79hg0boqqqKnr37h1nn312LFmypFXNypUrY9SoUVFSUhKjRo2KVatWnfR5kySJefPmRUVFRfTp0yfGjx8f27dv79jFAgAAAAAAAN1atwtlV6xYEfX19XHnnXfGtm3b4oILLohJkybFrl272qzfuXNnfOELX4gLLrggtm3bFnfccUfcdNNNsXLlynxNQ0NDTJ06Nerq6uKFF16Iurq6uPLKK2Pz5s0ndd5777037rvvvli8eHFs2bIlysvL45JLLol33nknvQUBAAAAAAAAurSiJEmSzp7Eyaiuro7zzz8/Hn744fzYueeeG5dddlksXLiwVf1tt90WTzzxROzYsSM/NnPmzHjhhReioaEhIiKmTp0aTU1N8eSTT+ZrJk6cGAMGDIjHH3/8hM6bJElUVFREfX193HbbbRER0dzcHGVlZbFo0aK47rrrTuj6mpqaIpPJRC6Xi/79+5/EygCcXtwP6Qq8DwGOcj+kK/A+BDjK/RAAuqdu9aRsS0tLbN26NWprawvGa2trY+PGjW3u09DQ0Kp+woQJ8dxzz8WhQ4farTl2zBM5786dOyObzRbUlJSUxIUXXnjcuUUcDW6bmpoKNgCgc+jLANB16MsAAMDppFuFsnv37o3Dhw9HWVlZwXhZWVlks9k298lms23Wv/fee7F37952a44d80TOe+y/JzO3iIiFCxdGJpPJb0OGDDluLQCQLn0ZALoOfRkAADiddKtQ9piioqKCn5MkaTX2QfXvHz+RY56qmj92++23Ry6Xy2+7d+8+bi0AkC59GQC6Dn0ZAAA4nfTs7AmcjNLS0ujRo0erJ0/37NnT6gnVY8rLy9us79mzZwwcOLDdmmPHPJHzlpeXR8TRJ2YHDx58QnOLOPoRxyUlJcd9HQD46OjLANB16MsAAMDppFs9KdurV6+oqqqKdevWFYyvW7cuxo0b1+Y+NTU1rerXrl0bY8aMieLi4nZrjh3zRM5bWVkZ5eXlBTUtLS2xYcOG484NAAAAAAAAOP11qydlIyLmzJkTdXV1MWbMmKipqYnvfve7sWvXrpg5c2ZEHP14o9/97nfx6KOPRkTEzJkzY/HixTFnzpyYMWNGNDQ0xNKlS+Pxxx/PH/Pmm2+Oz372s7Fo0aL4m7/5m/jXf/3XWL9+fTzzzDMnfN6ioqKor6+PBQsWxPDhw2P48OGxYMGCOOOMM2L69Okf4QoBAAAAAAAAXUm3C2WnTp0a+/bti/nz50djY2OMHj06Vq9eHUOHDo2IiMbGxti1a1e+vrKyMlavXh2zZ8+OBx98MCoqKuLb3/52XHHFFfmacePGxfLly+Ouu+6Kr33ta3HOOefEihUrorq6+oTPGxFx6623xsGDB+P666+P/fv3R3V1daxduzb69ev3EawMAAAAAAAA0BUVJUmSdPYk+E9NTU2RyWQil8tF//79O3s6AJ3G/ZCuwPsQ4Cj3Q7oC70OAo9wPAaB76lbfKQsAAAAAAADQ3QhlAQAAAAAAAFIklAUAAAAAAABIkVAWAAAAAAAAIEVCWQAAAAAAAIAUCWUBAAAAAAAAUiSUBQAAAAAAAEiRUBYAAAAAAAAgRUJZAAAAAAAAgBQJZQEAAAAAAABSJJQFAAAAAAAASJFQFgAAAAAAACBFQlkAAAAAAACAFAllAQAAAAAAAFIklAUAAAAAAABIkVAWAAAAAAAAIEVCWQAAAAAAAIAUCWUBAAAAAAAAUiSUBQAAAAAAAEiRUBYAAAAAAAAgRUJZAAAAAAAAgBQJZQEAAAAAAABSJJQFAAAAAAAASJFQFgAAAAAAACBFQlkAAAAAAACAFAllAQAAAAAAAFIklAUAAAAAAABIUbcKZffv3x91dXWRyWQik8lEXV1dHDhwoN19kiSJefPmRUVFRfTp0yfGjx8f27dvL6hpbm6OG2+8MUpLS6Nv374xZcqUePPNN/Ov/+Y3v4lrrrkmKisro0+fPnHOOefE3XffHS0tLQXHKSoqarUtWbLklF0/AAAAAAAA0P10q1B2+vTp8fzzz8eaNWtizZo18fzzz0ddXV27+9x7771x3333xeLFi2PLli1RXl4el1xySbzzzjv5mvr6+li1alUsX748nnnmmXj33Xdj8uTJcfjw4YiIePXVV+PIkSPxne98J7Zv3x73339/LFmyJO64445W51u2bFk0Njbmt6uuuurULgIAAAAAAADQrRQlSZJ09iROxI4dO2LUqFGxadOmqK6ujoiITZs2RU1NTbz66qsxYsSIVvskSRIVFRVRX18ft912W0QcfSq2rKwsFi1aFNddd13kcrn4sz/7s/jhD38YU6dOjYiI3//+9zFkyJBYvXp1TJgwoc35fPOb34yHH3443njjjfxYUVFRrFq1Ki677LITvq7m5uZobm7O/9zU1BRDhgyJXC4X/fv3P+HjAJxumpqaIpPJuB/ykdKXAdqmL9MZ9GWAtunLANA9dZsnZRsaGiKTyeQD2YiIsWPHRiaTiY0bN7a5z86dOyObzUZtbW1+rKSkJC688ML8Plu3bo1Dhw4V1FRUVMTo0aOPe9yIiFwuF2eeeWar8VmzZkVpaWl85jOfiSVLlsSRI0fava6FCxfmP445k8nEkCFD2q0HANKjLwNA16EvAwAAp5NuE8pms9kYNGhQq/FBgwZFNps97j4REWVlZQXjZWVl+dey2Wz06tUrBgwYcNya9/u///f/xv/4H/8jZs6cWTD+j//4j/GTn/wk1q9fH9OmTYtbbrklFixY0O513X777ZHL5fLb7t27260HANKjLwNA16EvAwAAp5OenT2BefPmxde//vV2a7Zs2RIRRz8e+P2SJGlz/I+9//UT2ed4Nb///e9j4sSJ8bd/+7fxla98peC1u+66K///n/70pyMiYv78+QXj71dSUhIlJSXtzgUA+GjoywDQdejLAADA6aTTQ9lZs2bFtGnT2q0ZNmxYvPjii/HWW2+1eu3tt99u9STsMeXl5RFx9GnYwYMH58f37NmT36e8vDxaWlpi//79BU/L7tmzJ8aNG1dwvN///vdx0UUXRU1NTXz3u9/9wGsbO3ZsNDU1xVtvvXXcOQIAAAAAAACnt07/+OLS0tIYOXJku1vv3r2jpqYmcrlcPPvss/l9N2/eHLlcrlV4ekxlZWWUl5fHunXr8mMtLS2xYcOG/D5VVVVRXFxcUNPY2Bgvv/xywXF/97vfxfjx4+P888+PZcuWxcc+9sFLt23btujdu3d8/OMfP9llAQAAAAAAAE4Tnf6k7Ik699xzY+LEiTFjxoz4zne+ExER1157bUyePDlGjBiRrxs5cmQsXLgwLr/88igqKor6+vpYsGBBDB8+PIYPHx4LFiyIM844I6ZPnx4REZlMJq655pq45ZZbYuDAgXHmmWfG3Llz47zzzouLL744Io4+ITt+/Pj4xCc+Ef/0T/8Ub7/9dv58x57G/bd/+7fIZrNRU1MTffr0iV/96ldx5513xrXXXuvjlgAAAAAAAOBPWLcJZSMiHnvssbjpppuitrY2IiKmTJkSixcvLqh57bXXIpfL5X++9dZb4+DBg3H99dfH/v37o7q6OtauXRv9+vXL19x///3Rs2fPuPLKK+PgwYPx+c9/Pr7//e9Hjx49IiJi7dq18etf/zp+/etfx1lnnVVwviRJIiKiuLg4HnrooZgzZ04cOXIkzj777Jg/f37ccMMNqawFAAAAAAAA0D0UJcdSRbqEpqamyGQykcvlon///p09HYBO435IV+B9CHCU+yFdgfchwFHuhwDQPXX6d8oCAAAAAAAAnM6EsgAAAAAAAAApEsoCAAAAAAAApEgoCwAAAAAAAJAioSwAAAAAAABAioSyAAAAAAAAACkSygIAAAAAAACkSCgLAAAAAAAAkCKhLAAAAAAAAECKhLIAAAAAAAAAKRLKAgAAAAAAAKRIKAsAAAAAAACQIqEsAAAAAAAAQIqEsgAAAAAAAAApEsoCAAAAAAAApEgoCwAAAAAAAJAioSwAAAAAAABAioSyAAAAAAAAACkSygIAAAAAAACkSCgLAAAAAAAAkCKhLAAAAAAAAECKhLIAAAAAAAAAKRLKAgAAAAAAAKRIKAsAAAAAAACQIqEsAAAAAAAAQIqEsgAAAAAAAAAp6lah7P79+6Ouri4ymUxkMpmoq6uLAwcOtLtPkiQxb968qKioiD59+sT48eNj+/btBTXNzc1x4403RmlpafTt2zemTJkSb775ZkHNsGHDoqioqGD76le/WlCza9euuPTSS6Nv375RWloaN910U7S0tJySawcAAAAAAAC6p24Vyk6fPj2ef/75WLNmTaxZsyaef/75qKura3efe++9N+67775YvHhxbNmyJcrLy+OSSy6Jd955J19TX18fq1atiuXLl8czzzwT7777bkyePDkOHz5ccKz58+dHY2Njfrvrrrvyrx0+fDi++MUvxh/+8Id45plnYvny5bFy5cq45ZZbTu0iAAAAAAAAAN1Kz86ewInasWNHrFmzJjZt2hTV1dUREfHII49ETU1NvPbaazFixIhW+yRJEg888EDceeed8aUvfSkiIn7wgx9EWVlZ/PjHP47rrrsucrlcLF26NH74wx/GxRdfHBERP/rRj2LIkCGxfv36mDBhQv54/fr1i/Ly8jbnt3bt2njllVdi9+7dUVFRERER3/rWt+Lqq6+Ob3zjG9G/f/9Tuh4AAAAAAABA99BtnpRtaGiITCaTD2QjIsaOHRuZTCY2btzY5j47d+6MbDYbtbW1+bGSkpK48MIL8/ts3bo1Dh06VFBTUVERo0ePbnXcRYsWxcCBA+PTn/50fOMb3yj4aOKGhoYYPXp0PpCNiJgwYUI0NzfH1q1bj3tdzc3N0dTUVLABAJ1DXwaArkNfBgAATifdJpTNZrMxaNCgVuODBg2KbDZ73H0iIsrKygrGy8rK8q9ls9no1atXDBgw4Lg1ERE333xzLF++PH71q1/FrFmz4oEHHojrr7++4FzvP8+AAQOiV69ex51fRMTChQvz35GbyWRiyJAhx60FANKlLwNA16EvAwAAp5NOD2XnzZsXRUVF7W7PPfdcREQUFRW12j9JkjbH/9j7Xz+Rfd5fM3v27Ljwwgvjk5/8ZHzlK1+JJUuWxNKlS2Pfvn3HPc+JnOv222+PXC6X33bv3t3uvACA9OjLANB16MsAAMDppNO/U3bWrFkxbdq0dmuGDRsWL774Yrz11lutXnv77bdbPaF6zLHvf81mszF48OD8+J49e/L7lJeXR0tLS+zfv7/gadk9e/bEuHHjjjunsWPHRkTEr3/96xg4cGCUl5fH5s2bC2r2798fhw4dOu78Io5+nHJJSclxXwcAPjr6MgB0HfoyAABwOun0J2VLS0tj5MiR7W69e/eOmpqayOVy8eyzz+b33bx5c+RyueOGp5WVlVFeXh7r1q3Lj7W0tMSGDRvy+1RVVUVxcXFBTWNjY7z88svthrLbtm2LiMiHvTU1NfHyyy9HY2Njvmbt2rVRUlISVVVVH2JlAAAAAAAAgNNBpz8pe6LOPffcmDhxYsyYMSO+853vRETEtddeG5MnT44RI0bk60aOHBkLFy6Myy+/PIqKiqK+vj4WLFgQw4cPj+HDh8eCBQvijDPOiOnTp0dERCaTiWuuuSZuueWWGDhwYJx55pkxd+7cOO+88+Liiy+OiIiGhobYtGlTXHTRRZHJZGLLli0xe/bsmDJlSnziE5+IiIja2toYNWpU1NXVxTe/+c34j//4j5g7d27MmDEj+vfv/xGvFgAAAAAAANBVdJtQNiLisccei5tuuilqa2sjImLKlCmxePHigprXXnstcrlc/udbb701Dh48GNdff33s378/qqurY+3atdGvX798zf333x89e/aMK6+8Mg4ePBif//zn4/vf/3706NEjIo5+ZNKKFSvi61//ejQ3N8fQoUNjxowZceutt+aP0aNHj/j5z38e119/ffz1X/919OnTJ6ZPnx7/9E//lOaSAAAAAAAAAF1cUZIkSWdPgv/U1NQUmUwmcrmcJ2yBP2nuh3QF3ocAR7kf0hV4HwIc5X4IAN1Tp3+nLAAAAAAAAMDpTCgLAAAAAAAAkCKhLAAAAAAAAECKhLIAAAAAAAAAKRLKAgAAAAAAAKRIKAsAAAAAAACQIqEsAAAAAAAAQIqEsgAAAAAAAAApEsoCAAAAAAAApEgoCwAAAAAAAJAioSwAAAAAAABAioSyAAAAAAAAACkSygIAAAAAAACkSCgLAAAAAAAAkCKhLAAAAAAAAECKhLIAAAAAAAAAKRLKAgAAAAAAAKRIKAsAAAAAAACQIqEsAAAAAAAAQIqEsgAAAAAAAAApEsoCAAAAAAAApEgoCwAAAAAAAJAioSwAAAAAAABAioSyAAAAAAAAACkSygIAAAAAAACkSCgLAAAAAAAAkKJuFcru378/6urqIpPJRCaTibq6ujhw4EC7+yRJEvPmzYuKioro06dPjB8/PrZv315Q09zcHDfeeGOUlpZG3759Y8qUKfHmm2/mX3/qqaeiqKiozW3Lli35urZeX7JkySldAwAAAAAAAKB76Vah7PTp0+P555+PNWvWxJo1a+L555+Purq6dve5995747777ovFixfHli1bory8PC655JJ455138jX19fWxatWqWL58eTzzzDPx7rvvxuTJk+Pw4cMRETFu3LhobGws2L7yla/EsGHDYsyYMQXnW7ZsWUHdVVdddeoXAgAAAAAAAOg2enb2BE7Ujh07Ys2aNbFp06aorq6OiIhHHnkkampq4rXXXosRI0a02idJknjggQfizjvvjC996UsREfGDH/wgysrK4sc//nFcd911kcvlYunSpfHDH/4wLr744oiI+NGPfhRDhgyJ9evXx4QJE6JXr15RXl6eP+6hQ4fiiSeeiFmzZkVRUVHBOT/+8Y8X1AIAAAAAAAB/2rrNk7INDQ2RyWTygWxExNixYyOTycTGjRvb3Gfnzp2RzWajtrY2P1ZSUhIXXnhhfp+tW7fGoUOHCmoqKipi9OjRxz3uE088EXv37o2rr7661WuzZs2K0tLS+MxnPhNLliyJI0eOtHtdzc3N0dTUVLABAJ1DXwaArkNfBgAATifdJpTNZrMxaNCgVuODBg2KbDZ73H0iIsrKygrGy8rK8q9ls9no1atXDBgw4Lg177d06dKYMGFCDBkypGD8H//xH+MnP/lJrF+/PqZNmxa33HJLLFiwoN3rWrhwYf47cjOZTKtjAgAfHX0ZALoOfRkAADiddHooO2/evCgqKmp3e+655yIiWn1UcMTRjyhua/yPvf/1E9nneDVvvvlm/OIXv4hrrrmm1Wt33XVX1NTUxKc//em45ZZbYv78+fHNb36z3fPcfvvtkcvl8tvu3bvbrQcA0qMvA0DXoS8DAACnk07/TtlZs2bFtGnT2q0ZNmxYvPjii/HWW2+1eu3tt99u9STsMce+2zWbzcbgwYPz43v27MnvU15eHi0tLbF///6Cp2X37NkT48aNa3XMZcuWxcCBA2PKlCkfeG1jx46NpqameOutt447x5KSkigpKfnAYwEA6dOXAaDr0JcBAIDTSac/KVtaWhojR45sd+vdu3fU1NRELpeLZ599Nr/v5s2bI5fLtRmeRkRUVlZGeXl5rFu3Lj/W0tISGzZsyO9TVVUVxcXFBTWNjY3x8ssvtzpukiSxbNmy+PKXvxzFxcUfeG3btm2L3r17x8c//vGTWRIAAAAAAADgNNLpT8qeqHPPPTcmTpwYM2bMiO985zsREXHttdfG5MmTY8SIEfm6kSNHxsKFC+Pyyy+PoqKiqK+vjwULFsTw4cNj+PDhsWDBgjjjjDNi+vTpERGRyWTimmuuiVtuuSUGDhwYZ555ZsydOzfOO++8uPjiiwvm8Mtf/jJ27tzZ5kcX/9u//Vtks9moqamJPn36xK9+9au4884749prr/WbvQAAAAAAAPAnrNuEshERjz32WNx0001RW1sbERFTpkyJxYsXF9S89tprkcvl8j/feuutcfDgwbj++utj//79UV1dHWvXro1+/frla+6///7o2bNnXHnllXHw4MH4/Oc/H9///vejR48eBcdeunRpjBs3Ls4999xWcysuLo6HHnoo5syZE0eOHImzzz475s+fHzfccMOpXAIAAAAAAACgmylKkiTp7Enwn5qamiKTyUQul4v+/ft39nQAOo37IV2B9yHAUe6HdAXehwBHuR8CQPfU6d8pCwAAAAAAAHA6E8oCAAAAAAAApEgoCwAAAAAAAJAioSwAAAAAAABAioSyAAAAAAAAACkSygIAAAAAAACkSCgLAAAAAAAAkCKhLAAAAAAAAECKhLIAAAAAAAAAKRLKAgAAAAAAAKRIKAsAAAAAAACQIqEsAAAAAAAAQIqEsgAAAAAAAAApEsoCAAAAAAAApEgoCwAAAAAAAJAioSwAAAAAAABAioSyAAAAAAAAACkSygIAAAAAAACkSCgLAAAAAAAAkCKhLAAAAAAAAECKenb2BCiUJElERDQ1NXXyTAA617H74LH7InQGfRngKH2ZrkBfBjhKXwaA7kko28W88847ERExZMiQTp4JQNfwzjvvRCaT6exp8CdKXwYopC/TmfRlgEL6MgB0L0WJX6nqUo4cORK///3vo1+/flFUVNTZ0+k2mpqaYsiQIbF79+7o379/Z0+nW7KGp4Z17Lhja7hr164oKiqKioqK+NjHfNo+nUNf/nDcC08N69hx1rDj9GW6En35w3EvPDWsY8dZw47TlwGge/OkbBfzsY99LM4666zOnka31b9/f3+x7yBreGpYx47LZDLWkE6nL3eMe+GpYR07zhp2nL5MV6Avd4x74alhHTvOGnacvgwA3ZNfpQIAAAAAAABIkVAWAAAAAAAAIEVCWU4LJSUlcffdd0dJSUlnT6XbsoanhnXsOGsI3Z8/x6eGdew4a9hx1hC6P3+OTw3r2HHWsOOsIQB0b0VJkiSdPQkAAAAAAACA05UnZQEAAAAAAABSJJQFAAAAAAAASJFQFgAAAAAAACBFQlkAAAAAAACAFAllAQAAAAAAAFIklKVL2r9/f9TV1UUmk4lMJhN1dXVx4MCBdvdJkiTmzZsXFRUV0adPnxg/fnxs3769oKa5uTluvPHGKC0tjb59+8aUKVPizTffLKgZNmxYFBUVFWxf/epXT/UlnnIPPfRQVFZWRu/evaOqqiqefvrpdus3bNgQVVVV0bt37zj77LNjyZIlrWpWrlwZo0aNipKSkhg1alSsWrWqw+ft6jpjHefNm9fqPVdeXn5Kr+ujdKrXcPv27XHFFVfk/2w+8MADp+S8wInTl0+evnxq6Msdpy/D6Udf/nD05o7TlztOXwaAP3EJdEETJ05MRo8enWzcuDHZuHFjMnr06GTy5Mnt7nPPPfck/fr1S1auXJm89NJLydSpU5PBgwcnTU1N+ZqZM2cmf/7nf56sW7cu+fd///fkoosuSj71qU8l7733Xr5m6NChyfz585PGxsb89s4776R2rafC8uXLk+Li4uSRRx5JXnnlleTmm29O+vbtm/z2t79ts/6NN95IzjjjjOTmm29OXnnlleSRRx5JiouLk3/5l3/J12zcuDHp0aNHsmDBgmTHjh3JggULkp49eyabNm360Oft6jprHe++++7kL//yLwvec3v27En9etOQxho+++yzydy5c5PHH388KS8vT+6///4Onxc4OfryydGXTw19ueP0ZTg96csnT2/uOH254/RlAEAoS5fzyiuvJBFR8JfwhoaGJCKSV199tc19jhw5kpSXlyf33HNPfuz//b//l2QymWTJkiVJkiTJgQMHkuLi4mT58uX5mt/97nfJxz72sWTNmjX5saFDh7b5l9iu7K/+6q+SmTNnFoyNHDky+epXv9pm/a233pqMHDmyYOy6665Lxo4dm//5yiuvTCZOnFhQM2HChGTatGkf+rxdXWet491335186lOf6uDsu4Y01vCPHe/P5+n2XoSuRF8+efryqaEvd5y+DKcfffnD0Zs7Tl/uOH0ZAPDxxXQ5DQ0Nkclkorq6Oj82duzYyGQysXHjxjb32blzZ2Sz2aitrc2PlZSUxIUXXpjfZ+vWrXHo0KGCmoqKihg9enSr4y5atCgGDhwYn/70p+Mb3/hGtLS0nMpLPKVaWlpi69atBdcVEVFbW3vc9WpoaGhVP2HChHjuuefi0KFD7dYcO+aHOW9X1lnreMzrr78eFRUVUVlZGdOmTYs33nijo5f0kUtrDdM4L3Di9OWToy+fGvpyx+nLcHrSl0+e3txx+nLH6csAQITvlKULymazMWjQoFbjgwYNimw2e9x9IiLKysoKxsvKyvKvZbPZ6NWrVwwYMOC4NRERN998cyxfvjx+9atfxaxZs+KBBx6I66+/vkPXlKa9e/fG4cOH273298tms23Wv/fee7F37952a44d88OctyvrrHWMiKiuro5HH300fvGLX8QjjzwS2Ww2xo0bF/v27TsVl/aRSWsN0zgvcOL05ZOjL58a+nLH6ctwetKXT57e3HH6csfpywBARETPzp4AfzrmzZsXX//619ut2bJlS0REFBUVtXotSZI2x//Y+18/kX3eXzN79uz8/3/yk5+MAQMGxH/7b/8t/9vAXdXJXntb9e8fP5Fjfpg178o6Yx0nTZqU///zzjsvampq4pxzzokf/OAHMWfOnJO/iE6WxhqmcV74U6cvp0tfPjX05Y7Tl6F70JfTpzd3nL7ccfoyAPxpE8rykZk1a1ZMmzat3Zphw4bFiy++GG+99Var195+++1Wv9l3THl5eUQc/S3CwYMH58f37NmT36e8vDxaWlpi//79Bb/9u2fPnhg3btxx5zR27NiIiPj1r3/dJf+RWVpaGj169Gj1G45/fO3vV15e3mZ9z54989d4vJpjx/ww5+3KOmsd29K3b98477zz4vXXX/8wl9Jp0lrDNM4L6Mtp0ZdPDX254/Rl6F705fTozR2nL3ecvgwARPj4Yj5CpaWlMXLkyHa33r17R01NTeRyuXj22Wfz+27evDlyudxx/zFYWVkZ5eXlsW7duvxYS0tLbNiwIb9PVVVVFBcXF9Q0NjbGyy+/3O4/Mrdt2xYRUfCP166kV69eUVVVVXBdERHr1q077nXV1NS0ql+7dm2MGTMmiouL2605dswPc96urLPWsS3Nzc2xY8eOLvueO5601jCN8wL6clr05VNDX+44fRm6F305PXpzx+nLHacvAwAREZFAFzRx4sTkk5/8ZNLQ0JA0NDQk5513XjJ58uSCmhEjRiQ//elP8z/fc889SSaTSX76058mL730UvJ3f/d3yeDBg5OmpqZ8zcyZM5OzzjorWb9+ffLv//7vyec+97nkU5/6VPLee+8lSZIkGzduTO67775k27ZtyRtvvJGsWLEiqaioSKZMmfLRXPiHtHz58qS4uDhZunRp8sorryT19fVJ3759k9/85jdJkiTJV7/61aSuri5f/8YbbyRnnHFGMnv27OSVV15Jli5dmhQXFyf/8i//kq/53//7fyc9evRI7rnnnmTHjh3JPffck/Ts2TPZtGnTCZ+3u+msdbzllluSp556KnnjjTeSTZs2JZMnT0769evXLdcxjTVsbm5Otm3blmzbti0ZPHhwMnfu3GTbtm3J66+/fsLnBTpGXz45+vKpoS93nL4Mpyd9+eTpzR2nL3ecvgwACGXpkvbt25f8/d//fdKvX7+kX79+yd///d8n+/fvL6iJiGTZsmX5n48cOZLcfffdSXl5eVJSUpJ89rOfTV566aWCfQ4ePJjMmjUrOfPMM5M+ffokkydPTnbt2pV/fevWrUl1dXWSyWSS3r17JyNGjEjuvvvu5A9/+EOal3tKPPjgg8nQoUOTXr16Jeeff36yYcOG/GtXXXVVcuGFFxbUP/XUU8l/+S//JenVq1cybNiw5OGHH251zJ/85CfJiBEjkuLi4mTkyJHJypUrT+q83VFnrOPUqVOTwYMHJ8XFxUlFRUXypS99Kdm+fXsq1/dRONVruHPnziQiWm3vP87p9l6ErkRfPnn68qmhL3ecvgynH335w9GbO05f7jh9GQD+tBUlyf//DfEAAAAAAAAAnHK+UxYAAAAAAAAgRUJZAAAAAAAAgBQJZQEAAAAAAABSJJQFAAAAAAAASJFQFgAAAAAAACBFQlkAAAAAAACAFAllAQAAAAAAAFIklAUAAAAAAABIkVAWAAAAAAAAIEVCWQAAAAAAAIAUCWUBAAAAAAAAUvT/ASJ5v9nAupbyAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots(3, 4, figsize=(23, 15), sharex=True, sharey=True)\n", "\n", @@ -234,9 +318,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.92, \"Set2: Projection of each submission onto GT's SVD\")" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABz4AAATqCAYAAAAnGsftAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeVwU5R8H8M8uLDeigHLI6W3eCF54Vp5oHpma95F5ZGpqHlmKZpqkv9TKUvPIqyzTzLDD8s4LQ80zj0RUUBQU5JBrn98f046suwuLwO4in/frtS/dmWdmnpmd3S8z33meRyGEECAiIiIiIiIiIiIiIiIiKsWU5q4AEREREREREREREREREVFRMfFJRERERERERERERERERKUeE59EREREREREREREREREVOox8UlEREREREREREREREREpR4Tn0RERERERERERERERERU6jHxSURERERERERERERERESlHhOfRERERERERERERERERFTqMfFJRERERERERERERERERKUeE59EREREREREREREREREVOox8UlEREREZIHWrVsHhUKBoUOHmrsqBoWHh0OhUCA8PNzcVSkRp0+fRteuXeHq6gqlUgmFQoF9+/aZu1pFUpo/s7Zt21rUZxAQEACFQoGYmBiTbbM0/C4QERERERGZExOfRERERCSLjY3FpEmTULduXTg6OsLe3h5+fn5o0aIF3n77bfz666/Fsp0HDx4gPDwcS5YsMVjm3r17WLlyJXr37o3AwEDY2trC2dkZQUFBmDt3LpKTk4ulLnkNHToUCoVC66VSqeDl5YWXXnoJP//8c7Fv01LFxMQgPDwc69atM3dVzCIhIQHt2rVDZGQkHBwc0Lx5c4SGhsLFxcXcVSOiPNatW4fw8HCTJqDzys7Oxrp169CzZ0/4+/vDwcEBDg4O8Pf3x0svvYTPPvsMd+/elctrEuaFeQUEBMjLP/m+pBw9ehQDBw5EQEAA7Ozs4OzsjGrVqqFDhw744IMP8Pfff8tlW7RoAYVCgZkzZxq17vHjx0OhUCAsLEyepnmwIe/LyckJlStXRps2bTBlyhQcP3682PeTiIiIiJ491uauABERERFZhj179qBHjx54+PAhrKys4Ovri0qVKiEpKQlHjx7FkSNHsHbtWty7d6/I23rw4AHmzJkDf39/TJw4UW+Znj174tChQwCAChUqoG7dukhKSsKpU6dw8uRJrFmzBnv27EGVKlWKXJ8nVapUCdWrVwcAPHr0CJcuXcLOnTuxc+dOzJgxA/Pnzy/2bT7JxcUFNWvWhJeXV4lvS5+YmBjMmTMHbdq0Mdi6zN3dHTVr1oS7u7tpK2cC33zzDe7fv4/u3btj27ZtUCr5zChpq1q1Kuzs7KBSqUy2TXP/LliidevWYf/+/Wjbtq1JEoJ5RUdH45VXXsG///4LAHB1dUWNGjVgZWWFW7duyXFj6tSp+PTTTzFs2DCEhITAx8dHaz2ZmZk4ceIEACA4OBi2trZa8039eS9cuBAzZsyAEAJ2dnYICAhAuXLlcOvWLezevRu7d+/GyZMnsXXrVgDA4MGDceTIEWzevBnz5s2DQqEwuO6cnBxs2bIFADBo0CCd+b6+vvDz8wMAZGVlISkpCYcOHcKBAwewePFitG3bFuvWrYO/v38J7DkRERERPQuY+CQiIiIipKSkoG/fvnj48CHCwsLw2Wefad1UfPDgAXbs2IFvv/3WZHWysrLCkCFDMGbMGDRp0kS+kXry5En07dsXly9fRt++fREVFVXs2+7cubNWS8esrCzMnDkTixYtwoIFC9CtWzc0b9682LebV8+ePdGzZ88S3UZRjRs3DuPGjTN3NUrExYsXAQAdO3Zk0pP0+uOPP0y+zdLwu1BW/PXXX2jdujXS09PRvn17vP/++1qxCpB+R9asWYPPP/8cx44dw7Bhw/Ddd9/prCsmJgaBgYEAgO+++87kCdy8jhw5gunTpwMAZsyYgenTp6NcuXLy/JiYGGzZsgUJCQnytD59+mDChAmIiYnBoUOH0KpVK4Pr/+2335CQkABnZ2d0795dZ/7w4cN1uuJOSUnBtm3bEB4ejn379qFJkyY4ceIEfH19i7i3RERERPQs4hU8EREREWHXrl24d+8eypUrh2+//VanJUX58uUxZMgQREZGmqxO27Ztw7p169C0aVOtG8mNGjXChg0bAAAnTpzAyZMnS7wuNjY2iIiIQMOGDQFIrQHp2ZaRkQEAsLe3N3NNiMjSZGZm4pVXXkF6ejoGDx6MX375RSdWAUCtWrUQERGBs2fPlvjDMsXlq6++AgC8+OKLmD9/vlbSE5C66p02bRoWL14sT3N1dZW7rd20aVO+69+4cSMAoHfv3kb/vpYrVw5Dhw5FdHQ06tWrh4SEBAwePNjofSIiIiKisoWJTyIiIiKSu+mrUaMGHBwcCr28EALffPMN2rdvDzc3N9ja2qJKlSoYP348bt++rVV26NChcsuW69ev64zppeHq6mpwe02bNpXHWrx06VKh6/s0FAoFWrZsCQC4fPmyPF0zXltMTAz27t2Lzp07w93dHQqFAvv27ZPLxcbGYsyYMfJ4pe7u7ujcubPBcUPXrVsHhUJhsJvZpKQkzJw5Ux6P1dnZGc2aNcOqVaugVqsN7kdUVBQGDhwIPz8/2NrawsPDAy1atEBERIQ8bmrbtm3Rrl07AMD+/fsNjjUXHh4OhUKh0zpH4/Dhw+jVqxc8PDxgY2MDHx8fDB48GBcuXNBbXjPG2759+3Dx4kW88sorcHd3h729PRo3bvzULY6FENi4cSPatGmD8uXLw97eHrVq1cK0adOQlJSkVVazT5oWv8OGDZP3vW3btkZvMycnB1988QVatmyJ8uXLw87ODrVq1cK7776LlJQUnfK5ubnYsWMHhg8fjjp16sDFxQUODg6oXbs2pk6dWmAX07t370avXr3g7e0NW1tbeHt7o127dvjss8+QmZmpd5nk5GRMnDhRPheqVauG999/Hzk5OUbvp8bOnTvRsWNHuLu7Q6VSoWLFiqhfvz7efPNNnc8773dGn7zngSHHjx9HWFgYXF1d4ejoiBYtWuCHH37QW1Yzdu+6detw/fp1DBw4EB4eHnByckLz5s2xe/duueyZM2fw8ssvo1KlSnBwcEDr1q1x9OhRves1tB9paWmYO3cu6tevD0dHR9jZ2cHX1xdt27bFhx9+iOzsbK3yZ8+exYABA+Dr6wsbGxuUL18e1atXR//+/fHLL79olS3od+HcuXMYNGgQfHx8YGNjAw8PD7z88ssG9yHvsYmLi8Pw4cPh5eUFOzs71KlTB5999pne5YwRGRmJTp06wd3dHba2tggMDMTYsWNx48YNveXzHs+jR4+ic+fOqFChAhwdHdGqVSvs2bNHq/y+ffugUCiwf/9+AEC7du20fqueHJ+4sL/B+dmwYQOuXbsGDw8PLF++vMBW4f7+/hgyZEiht1MY169fx6hRo1ClShV5TOwqVaqgZ8+ehXpYR/P3gOZBH2Npuq397rvvkJWVpbdMamoqduzYoVW+MFxdXeXE7L59+wye10RERERUxgkiIiIiKvM++eQTAUC4uLiI+/fvF2rZrKws8corrwgAAoDw9vYWDRo0EA4ODgKA8PLyEv/8849c/oMPPhDBwcECgLC1tRWhoaFaL2Pk5OTI69+xY4fO/DZt2ggAYvbs2YXalyFDhggAYsiQIXrnv/HGGwKA6Ny5szzN399fABDz588XSqVSVKhQQYSEhAgfHx+xd+9eIYQQR48eFeXLlxcAhKOjo2jcuLHw8fGRj9l7772ns621a9carMvZs2dF5cqVBQBhY2MjnnvuOVG1alWhUCgEANG7d2+hVqt1llu4cKFcply5cqJx48aiatWqQqVSCQByfceNGyfq1q0rl8v7+fTu3Vte3+zZsw0e5+XLl8vbqlSpkggODpaPgZ2dnfjpp590ltF8bosWLRJOTk7C2dlZNG7cWFSsWFE+Vhs2bND72RiiVqtF//795eWrVKkigoKChI2NjQAg/P39xdWrV+Xyq1evFqGhoaJSpUoCgKhevbq87+PGjTNqm8nJyaJ169YCgFAqlcLf31/UrVtX3mbt2rXFnTt3tJa5ceOGXN7Ly0sEBQWJWrVqCTs7OwFABAQEiNu3b+vdnua8BCDc3NxEcHCw8Pf3F0qlUgAQ165dk8tqPrOJEyeK2rVrC2tra9GwYUMREBAgr+O1114r1DHW/H4AEJ6eniI4OFhUr15drvvHH3+sVV7znclbr7w054HmfHxy+ty5c4WNjY1wcnISwcHBwsvLS97+4sWLddan+V7PmjVLuLu7y99Bd3d3AUBYW1uLP/74Qxw8eFA4OjqK8uXLi8aNGwsXFxcBQDg4OIizZ8/qrFfffmRnZ4tmzZrJn2XNmjVFcHCw8Pb2lj+PvL+xx44dE/b29vLvb4MGDUTdunXlbXfv3l1rm/n9LuzYsUPY2toKAKJ8+fIiODhY/u4olUqxcuVKg8cmPDxceHp6Cjs7OxEUFCS8vb3lYzpv3jy9n1N+pk+fLi/v4+MjGjduLP9mV6hQQURFRRk8np988olQqVTCzc1N63OwtrbWOieio6NFaGioKFeunAAg6tatq/VbtWvXLrns0/wG56d9+/YCgHj77bcLfWz0uXbtmlwXQ98LDc3v1pPLa85nBwcHUa9ePdGwYUPh6uoqAIgGDRoYXZeXX35ZABCtW7cu1D5kZmbK29u+fbveMl999ZUAIHx9fUVubq7WvMLE7aZNmwoA4t133y1UHYmIiIiobGDik4iIiIjEP//8I9+Ub9y4sdi6dat48OCBUctqbnA3atRInDx5Up6enp4uxo4dKwCI4OBgrWU0N3mfvHlrrB9++EEAEFZWVjoJJCFKJvGpVqtFw4YNBQDx5ptvytM1N+utrKzEnDlzRHZ2tlz+0aNHIi0tTfj5+QkAok+fPiIlJUVedt26dcLKykoA0LpJL4ThBEdqaqqoWrWqACDGjx8vkpOT5Xnnzp0TderUEQDEp59+qrVc3mO2ePFikZWVJc9LS0sTK1euFOfPn5en7d27VwAQbdq0MXi8DCU+T548KaytrQUAERERId/gfvTokXxOuLi4iLi4OK3lNJ+bSqUS48aNExkZGfKxnDZtmpxYz8nJMVinJ2mScs7OzuK3336Tp8fHx4vQ0FABQDRt2lRnOc25sHbtWqO3pdGvXz8BQLzwwgtaSdWkpCTRq1cvOTmd14MHD8S6detEYmKi1vT79++LcePGCQBi6NChOttasmSJnOzYsGGDVjIhMTFRLF68WCQkJMjTNJ+ZSqUSrVu3Frdu3ZLn/fjjj/L5eOHCBaP2NTs7W1SoUEFYW1vrJDuys7PFzp07xf79+7WmFzXxaW1tLfr16ydSU1OFENL5sWzZMnneqVOntJbTfJYqlUr069dP/g7m5ubK52ODBg1EQECAmDRpksjMzBRCSOdrt27d5O/uk/Ttx9atW+X13bhxQ6t8QkKCWLJkiUhLS5Onde3aVQAQ77zzjrxdjaioKLFp0yataYZ+F27duiUnACdMmCCvKzc3V3zwwQfy/p8+fdrgsendu7dWUnb58uXygwqFeSBm586d8mexceNGeXpycrLo2bOnnMhPT0/XWk5zPFUqlViwYIH8Pc/KyhIDBgww+F01dL5oPO1vcH6cnJwMPnjzNAqT+NRH8xsxZMgQ8fDhQ615Fy5cECtWrDB6XatWrZLr8sorr4h9+/bpnJuGjBkzRu/vm4YmYTx9+nSdeYWJ25MnTxYARMeOHY2qFxERERGVLUx8EhEREZEQQsg3xzUvhUIhatasKYYOHSq++eYb8ejRI51lEhIShK2trShXrpzOTX4hpJvuISEhAoA4cOCAPL0oic/U1FRRvXp1AUAMHz5cb5nevXuLypUr6239lR9Dic/MzEwxZcoU+dgcPHhQnqe5Wd+tWze969TcRPbw8JATeXlpEi+tWrXSmm4owaFJ8PTs2VPv9k6fPi0UCoWoUqWK1vTnnntObi1njKIkPjVJiidbqwkhJak0ydknW1lpbnw3aNBApzVQVlaW8PT0FABEdHS0UfugVquFr6+v3laHQghx8+ZNuRXmH3/8oTXvaROfp0+fls/tvAkWjbS0NOHr6ysUCoWIiYkxer2+vr7CwcFBTqwLIT1c4ObmJgCI9evXG7UezWdmb2+v9zurScz+73//M2p98fHx8oMPxipq4rNSpUp6v0uaug8ePFhruuaz9PLy0ko6CiElnDUtUxs1aqTTUvrixYsCkFo+G7MfCxYsEADE0qVL8zkCj9WsWVMA0HqAIT+GfhdmzpwpAIiGDRvqXa5Lly4CgBg0aJDWdM2x8fT0lBPJeQUFBQkAYtu2bUbVTwghP1AwYcIEnXlpaWlyy8TVq1drzcvvt/Tu3btya9akpCSteQUlPp/2N9iQBw8eyLHgyUTy0ypq4rNjx47FVp/s7Gz5fNG8bGxsRHBwsJgwYYLB4yyEEIcPH5aT5U8+PBUfHy8nmc+dO6ezbGESn5oHPgrzu0NEREREZQfH+CQiIiIiAMA777yDPXv2oEuXLrCxsYEQAv/88w/WrVuHfv36oUaNGjpj7u3atQuZmZno2LEjfHx8dNapVCrRtWtXAJDHYSuqESNG4PLly/Dx8cFHH32kt8x3332HmzdvYtKkSU+1jZ9//hktW7ZEy5YtERwcDHd3dyxatAgA8NZbb8ljfeY1ePBgvev67bffAAAjR46EnZ2dzvwJEyYAkMbDTEtLK7Bu27ZtAwC89tpreufXr18fAQEB+Pfff3Hz5k0AwJUrV3D+/HnY2Nhg4sSJBW6jqDT7/Oabb+rMUygUGD9+vFa5Jw0fPlxnzDyVSoUGDRoAeDwGXUEuXLiAGzduwM7ODiNHjtSZX7lyZbz88sv51qWwtm/fDgDo06cPnJ2ddeY7ODjgxRdfhBACBw8e1Jm/Z88evPXWWwgLC0Pr1q3l8zA5ORnp6ela48v++eefSExMhLe3NwYMGFCoenbq1EnvdzYkJASA8ce4YsWKsLW1xaVLl3D69OlC1eFpjRgxQu93aezYsQCAX3/9Ve9yr776qs4Yxi4uLvKYw5rxXPOqWbMm7O3tkZKSgsTExALr5uvrC0Aa3zI9Pd3o8k87fq2G5vwdN26c3vma3xlD5/mrr74KR0dHnemFPR9SU1Nx5MgRAPq//w4ODvJ30VBd9P22ubu7y+MLG1sXjeL+DX748KH8f33HDJC+X0+OX/3kuVWcNOfR1q1bIYQo0rqsra3x448/4ssvv0RwcDAUCgWysrJw4sQJLF26FO3atUPLli31jtXavHlzVKtWDY8ePcLWrVu15m3evBm5ubkICgrCc889V6Q6ao573s+CiIiIiEjD2twVICIiIiLL0a5dO7Rr1w4ZGRk4ceIEjh07hl27dmHfvn2IjY1Fly5dEB0djVq1agEAzpw5AwA4evSo3mQgANy5cwcAcOvWrSLXb/r06diyZQucnJzwww8/wNXVtcjr1CchIQEJCQkAACsrK7i6uqJly5Z4/fXX0aNHD73L1K5dW+/0S5cuAYDBG73Vq1eHjY0NsrKycPXqVdSvXz/fummO+axZszB//ny9Ze7duwdAOuY+Pj64cOGCXAd9ybji9ODBA9y9e1fenj516tQB8PjYPKlq1ap6p1eqVAmAlFwxhmb9fn5+BhMUBdWlsDSfz/bt23H48GG9Za5fvw5A+zuRlZWFvn374ocffsh3/UlJSfL/NZ9rkyZNdBLFBSmuY2xlZYXx48fjo48+QlBQEEJDQ9GuXTu0atUKLVu21JtoKipD3zXN9Dt37iAlJQXlypXTmm9onytWrIgLFy7kOz82Nhapqalwc3PLt249evRAQEAAfvvtN3h7e6NTp05o1aoV2rZtK59reU2cOBG///47Ro4cicWLF6Njx45o2bIl2rVrV+C28irod0az7cIem8KeD1euXIFarYatrS2qVKmSb12e5vv/zz//GF0XjeL+Dc77G2ooUVq3bl25nllZWYiKiipUnQvrjTfewFdffYX3338f69evl8+7du3awdvbu9Drs7KywogRIzBixAgkJibi6NGjOHz4MHbs2IFz587hzz//RIcOHXDq1CnY2tpqLTtw4ECEh4dj06ZNGDFihDx948aNAIBBgwYVbWfx+Hx88jwmIiIiIgKY+CQiIiIiPezt7dGqVSu0atUKU6ZMwaFDh9CpUyekpaVh8eLFWLVqFQAgOTkZAHDjxg29rT/yysjIKFKdFi1ahIULF8LW1hY7duxA48aNi7S+/AwZMgTr1q0r1DKGEmuaG7SaBMKTFAoFKlasiFu3bhnVekVzzP/6668Cy2qOeUpKCgCgfPnyBS5TVHmTEob22cPDA4Dh1jqGjqUmuWdsi6aCjr0xdSkszedz5coVXLlyJd+yeb8TH374IX744Qd4enoiIiICrVu3hqenp5xUaNmyJf78809kZ2fLyxTlcy2uY6ype+XKlfHZZ5/h4MGDckvWcuXKYezYsQgPD9dJjhSFoc8z7/SHDx/qJEWebO2poWmJV9B8Y46Jo6MjDh48iFmzZmHr1q3YsmULtmzZAkBKvC1cuFBuBQ8AYWFhiIyMxAcffICjR4/i4sWLWLp0KaytrdGzZ098/PHHqFy5coHbLehc15zngP5jU9zfuYoVKxps4Wiq7/+TdSqu32AXFxc4OTkhNTUVMTExehOlmh4CAODmzZtyi8yS0rBhQxw4cACzZ8/Gnj17sGLFCqxYsQIKhQLt27fHkiVLDD4wUBA3NzeEhYUhLCwM8+bNw9KlS/HWW2/h4sWL2Lp1q05r80GDBiE8PBz79+/HzZs35YdvTp48CSsrK7z66qtF3t/Y2FgA+f+2ExEREVHZxa5uiYiIiKhALVu2lLuRPH78uDzdyckJADBz5kwIafx4g6/CJhLzWrVqFd5++21YW1vj22+/xfPPP1+k/TElzTHStCB9khBCbiFpTGtMzfouX75c4DFv27at1nofPHhQxL0pmKZ+gOF91rQCLunWpwUd+5Koi2abq1atKvDzCQ8Pl5fbtGkTAGDdunUYNGgQ/P39tZKF+h4sMOXnmh+lUokJEybg0qVLuHbtGr766iv069cPjx49wocffojJkydrlS8okVhQd6Oa70t+00v63MqPj48P1qxZg6SkJBw9ehQffvghgoODcf78efTo0QPHjh3TKt+lSxf8+eefuHv3Ln744Qe8+eabKF++PL777jt069ZNK9ltSEHnuuY8B0r22GjqcffuXYOfr6m+/0/Wqbh+gwGgWbNmAKC3u2pzadasGX799Vfcv38fv/zyC6ZNmwYfHx/89ttvaN++fbH8TigUCkycOFHuAjnv3wMaVapUQYsWLaBWq7F582YAwIYNGwAAHTp00ErCP61Dhw4BkFq7ExERERE9iYlPIiIiIjKKptvCrKwseZqm68CzZ88Wal2FGevsm2++wejRo6FUKvHVV1/hpZdeKtS2zK1GjRoAgPPnz+udf/nyZWRlZcHKyspgF495Pc0x13Qtef78eaNbNj7teHTly5dHxYoV5e3pc+7cOQCPj01J0axf002pKerytN+JmJgYAECLFi105iUmJurtKlrzuUZFRUGtVheypiUjICAAgwcPxtdff40ff/wRALBmzRqt+mla9BlKYF69ejXfbWi6+DU03cPDwyK6wLS2tkbTpk0xbdo0REVFoV+/fsjNzcWaNWv0lnd1dUX37t2xbNkynD17Fi4uLjh58iROnDhR4LYK+p3RnOclfWyqVasGpVKJzMxMg2NxFvd3rqDfquL+DQakMXwBKaFnzLigpuTk5ISOHTviww8/xMWLF1G1alXcunULP//8c7FtQ9/fA3lpxrzetGkThBByArQ4urmNjo6Wuw4OCwsr8vqIiIiI6NnDxCcRERER4d69ewV2H6gZr7B69erytLCwMNjY2GDXrl24fPmy0duzt7cHUHD3t7t27cLgwYOhVquxfPly9O/f3+htWIqOHTsCkFoAPnr0SGf+smXLAAChoaEGu3jMq1evXvJyxnb5WLVqVdStWxdZWVny9gpi7Gekj2afP/nkE515Qgh5uqZcSalduzb8/Pzw6NEjfPnllzrz4+Li8P333xdrXXr27AlAGs8uMTHR6OU0xztvyzyNxYsXIzc3V2d6aGgo3N3dcevWLXz99ddPWeOSo2kVl5GRgfv378vTNUkTfeMefv/991pl9Vm9ejUyMzN1pi9fvhyA1KrMEmmOR1xcXIFlPTw8EBgYaHR5zfn76aef6p2v+d6X9HfOyclJTt7r+/5nZGTI38XiqktBv1XF/RsMSIm9gIAA3LlzB2PHjrWYBw+e5ODggHr16gEw7jwC8m8hDwDZ2dnydzfv3wN59enTB7a2tvj777+xfPlyXL9+Hc7OzujevXshaq8rKSkJQ4YMAQC88MILbPFJRERERHox8UlERERE2LhxIxo2bIhVq1bpJGsePHiAWbNmYePGjQCAYcOGyfO8vb0xceJEZGdno2PHjti3b5/WskIIHD9+HGPGjNFq/VOxYkU4OzsjISHBYOutQ4cOoXfv3sjOzkZERARGjRpl9P7069cPAQEBWLJkidHLlJRXX30Vfn5+uHPnDoYOHarV8nDjxo1YsWIFAGD69OlGrW/UqFGoUqUK9u7diwEDBiA+Pl5rfmpqKr799ltMmjRJa/q8efMAAOHh4Vi2bJlW95np6en48ssvtT4LTdLl/PnzBlvmGTJ58mRYW1tjx44dWLx4sZwUyMrKwoQJE+TWbGPGjCnUegtLoVDg7bffBgDMnj0bf/zxhzzvzp076NevH7KystCsWTO0a9euWLYZHByMPn36IDExEe3bt8fJkye15ufm5mLfvn0YMGCAVvKuZcuWAKRjpzlHhBBYv349Fi1aBDs7O51t2dnZ4b333gMgnRdff/21VjL8/v37+Pjjjwv9+RXG+fPnMWrUKERFRWltOzMzEx988AEAwN/fH25ubvK8zp07AwAiIiK0HpiIiorC+PHjoVKp8t1mYmIiRowYIbe0E0Jg+fLl2LZtG6ysrHTOfVP6+OOPsWTJEp0EdmxsrJzwCwoKkqf369cPkZGROi3ntm7dijNnzkChUKBRo0YFbnfMmDEoV64cTp06hbfeekten1qtRkREBCIjI6FSqXS6HS4J06ZNAyAlojUt/QBpTM/Bgwfj7t27CAgIQL9+/Yple5pE+v79+/XOL+7fYACwtbXFli1bYG9vj/Xr16Njx444evSozsMot2/fxhdffFHYXSq0MWPGYMuWLUhPT9eafuDAAfl3L+95l59Ro0ahW7du2Llzp04y+erVq+jbty/+/fdfODg4yC1fn1ShQgW5NeaUKVMAAC+//LLBcXQLkpKSgq+++gpBQUE4e/YsPD09i9R9PhERERE94wQRERERlXlLliwRAORXYGCgaNKkiahevbqwsbGRp0+ZMkVn2ezsbDFw4EC5jKenp2jSpIlo0KCBcHZ2lqdfuHBBa7nhw4cLAMLOzk4EBweLNm3aiDZt2sjza9SoIQAIW1tbERoaavC1a9cunTq1adNGABCzZ88u1HEYMmSIACCGDBli9DL+/v4CgLh27ZrBMkePHhUuLi4CgHB0dBTBwcHC19dXPjbvvvuuzjJr1641WJcLFy6IwMBAAUAolUpRu3Zt0bRpU1GjRg1hZWUlAIimTZvqLLdgwQKhUCgEAOHi4iKCg4NF9erVhUqlEgDE3r17tco///zzAoBwdnYWTZs2FW3atBF9+/aV58+ePdvgcV6+fLm8LQ8PDxESEiLKly8vf6Y//fSTzjKaz+3JemhoPp+1a9fqna+PWq0W/fv3l491tWrVRFBQkHxe+/n5iatXrxbLtjQePnwo2rdvL2/Tz89PNG3aVNSrV0/Y29vL0zMyMuRlTpw4IWxtbQUAUa5cOdG4cWPh7e0tAIhBgwYZPDZqtVqMGTNGXqe7u7sICQkRAQEB8rmQ99zM7zMTIv/zTp+TJ0/K2y5fvrwICgoSjRo1ks93Gxsbne9oRkaGqFOnjgAgrK2tRd26deXve79+/Qzuq2b63LlzhY2NjXB2dhbBwcHycQIgIiIidOpY0GdZ0Hln6Duub/qECRPkugQEBIgmTZqIWrVqyZ9F3bp1xYMHD+TymuNka2sr6tatK0JCQoSXl5e8jvfee09rm/l9Pjt27JDP6woVKoiQkBBRqVIl+XdixYoVhT42BZ0vhkyfPl3eB19fXxEcHCwcHR3luh0/flxnmYJ+Sw19TgcOHJC3VaNGDdG6dWvRpk0b8fPPP8tlnuY32BjHjx8XAQEB8noqVKggGjZsKIKCgoS3t7dQKpUCgLC3t9f5LPO6du2avI78YokhDRo0kL9PtWvXFk2aNJGPJwAxcOBAo9fVo0cPeTmVSiWvz8/PT94fOzs78d133+W7nu3bt2v9XfHHH3/kW17z+fr6+srxvUmTJqJatWrydgGIdu3aidjYWKP3h4iIiIjKHrb4JCIiIiKMHTsWe/bswdtvv40WLVogNzcXp06dwq1bt+Dv74/Bgwfj4MGD+Oijj3SWtba2xoYNGxAZGYkePXoAAE6ePIn4+HjUqFED48aNw759+3TGc1u6dCkmTJgAT09PnD59Gvv379dqsaNpDZeZmYk///zT4Etf16CWpmnTpjh9+jRGjRoFd3d3/P3330hNTUWHDh0QGRmJ999/v1Drq1WrFk6fPo0PP/wQISEhuHXrFk6dOoWsrCy0adMGixYtwjfffKOz3PTp03H48GH06dMHDg4OOH36NFJSUhASEoKPPvpIp0XQ5s2bMXToUJQrVw5//fUX9u/fj6NHjxpVxzFjxuDgwYPo0aMH1Go1Tp06BQcHBwwcOBDR0dEmG5tNoVBg48aNWL9+PVq1aoWEhAScO3cO/v7+ePvttxEdHS23GCsuTk5O+OWXX7Bp0yZ07NgR6enpiI6Oxr1791C/fn1MmzYNx48f12rF2bhxYxw4cADt27eHWq3GxYsXUalSJSxbtgxfffVVvvu3fPlyREZGomvXrlAoFDh9+jSys7PRpk0bLF++HN7e3sW6f3lVr14dq1atwiuvvIKKFSvi0qVLuHz5MipXrozRo0fj/PnzcgtPDTs7O+zZswcjRoyAq6srLl++DKVSiUWLFmHTpk0FbrNVq1Y4ePAgWrZsiStXruD+/fto1qwZtm3bJrfwNZfRo0cjPDwcrVu3RnZ2Nk6dOoX79+8jJCQEn3zyCY4fPw4XFxe5/FdffYXXX38d1atXR1xcHP7++284ODigZ8+e2L9/P+bOnWv0tl966SX89ddfGDBgAOzs7HDq1CkIIdCzZ08cOnQIr7/+eknssl4LFizAzp070b59e6SmpuLvv/+Gu7s7Ro8ejdOnTyMkJKTYttWqVSts3rwZTZo0wa1bt3DgwAHs378ft2/flssU92+wRkhICP755x+sXr0aL730EhwdHXHx4kWcP38eVlZW6NKlC5YuXYrY2NhCfZaF9fHHH2PChAmoX78+7t27h1OnTgGQuvn98ccfsX79eqPX9dVXX2Hr1q0YMWIE6tati6SkJERHR+PBgweoX78+Jk+ejHPnzqF37975rqdLly5yS+/KlSujbdu2Rm3/xo0bcnw/e/Ys0tLSEBoaismTJ+P48ePYs2cPfH19jd4fIiIiIip7FEIYOTAQERERERGZzJo1azBixAiMGDFC7/iURERERERERESkjS0+iYiIiIgs0IMHDwBIY6UREREREREREVHBmPgkIiIiIrIw2dnZ+OmnnwAADRo0MHNtiIiIiIiIiIhKB3Z1S0RERERkQV5++WV57FJPT09cunQJzs7O5q4WEREREREREZHFY4tPIiIiIiILEh0djbS0NHTo0AG7d+9m0pOIiIiIiIiIyEhs8UlEREREREREREREREREpR5bfBIRERERERERERERERFRqcfEJxERERERERERERERERGVekx8EhEREREREREREREREVGpx8QnEREREREREREREREREZV6THwSERERERERERERERERUanHxCcRERERERERERERERERlXpMfBIRERERERERERERERFRqcfEJxERERERERERERERERGVekx8EhEREREREREREREREVGpx8QnEREREREREREREREREZV6THwSERERERERERERERERUanHxCcRERERERERERERERERlXpMfBIRERERERERERERERFRqcfEJxERERERERERERERERGVekx8EhEREREREREREREREVGpx8QnEREREREREREREREREZV6THwSERERERERERERERERUanHxCcRERERERERERERERERlXpMfBIRERERERERERERERFRqcfEJxERERERERERERERERGVekx8EhEREREREREREREREVGpx8QnEREREREREREREREREZV6THwSERERERERERERERERUanHxCcRERERERERERERERERlXpMfBIRERERERERERERERFRqcfEJxERERERERERERERERGVekx8EhEREREREREREREREVGpx8QnEREREREREREREREREZV6THwSERERERERERERERERUanHxCcRERERERERERERERERlXpMfBIRERERERERERERERFRqcfEJxERERERERERERERERGVekx8EhEREREREREREREREVGpx8QnEREREREREREREREREZV61uaugDmo1WrExcXB2dkZCoXC3NUhIjIbIQQePnwIb29vKJV8FobMh7GZiEjC2EyWgHGZiEjCuEyWgHGZiEhibFwuk4nPuLg4+Pr6mrsaREQW48aNG/Dx8TF3NagMY2wmItLG2EzmxLhMRKSNcZnMiXGZiEhbQXG5TCY+nZ2dAUgHp1y5cmauDRGR+aSkpMDX11f+XSQyF8ZmIiIJYzNZAsZlIiIJ4zJZAsZlIiKJsXG5TCY+NV0ClCtXjsGCiAhgVylkdozNRETaGJvJnBiXiYi0MS6TOTEuExFpKygus3N6IiIiIiIiIiIiIiIiIir1mPgkIiIiIiIiIiIiIiIiolKPiU8iIiIiIiIiIiIiIiIiKvWY+CQiIiIiIiIiIiIiIiKiUo+JTyIiIiIiIiIiIiIiIiIq9azNXYHSIDc3F9nZ2eauBlGJUKlUsLKyMnc1iIiMxrhMZRVjNhFZIsZlsiTW1tawsrKCQqEwd1WIiMyCcZksCeMymQsTn/kQQuD27dt48OCBuatCZZFaDWRnA48eAbm5gJUVYGcHqFSAsngba5cvXx6enp4MQkRk0RiXqViYML6WBMZsIrIUjMtkMk/GbqUSsLaW/g/oxHErKytUqlQJLi4ujJdEVGYwLlOJKsJ1NOMymYPZE58HDhzARx99hL/++gvx8fHYvn07evToke8y+/fvx6RJk3Du3Dl4e3tj6tSpGD16dLHXTRMsKlWqBAcHB34xyXSysoCEBCAjQ7qgs/7vq5qTAzg5AZUqATY2Rd6MEALp6elISEgAAHh5eRV5nUREJYVxmYrMRPG1JDBmE5GlYVwmkzAUuwGgfHnpZmtKCuDkBFGxInKUSqSkpCA+Ph4ZGRmMl0RUZjAuU4l5yutoIQRycnIYl8kszJ74TEtLQ4MGDTBs2DC8/PLLBZa/du0aunTpgpEjR2Ljxo34888/MXbsWFSsWNGo5Y2Vm5srBws3N7diWy+VMbm5UlBITZWChI2NFBDs7aUnYwwtEx8PGHpC68EDaVk/P8PrKAR7e3sAQEJCAipVqsQu9IjIIjEuU5GZOL6WBMZsIrIUjMtkEgXF7tRUwMUFcHTUiuPOzs6wtbXFvXv3GC+JqExgXKYSUwzX0YzLZA5mT3x27twZnTt3Nrr8F198AT8/PyxZsgQAULt2bZw4cQKLFi0q1sSnpi90BweHYlsnlTGZmUBcHJCYqDvPzQ3w9gZsbXXnZWToXyavxESgYkUpiVoMNOd5dnY2gw8RWSTGZSoyM8TXksCYTUSWgHGZTMKY2J2cDHh4AGlpWnHc0dERd+/eZbwkojKBcZlKTDFdRzMuk6mZPfFZWEeOHEGHDh20pnXs2BGrV69GdnY2VCqVzjKZmZnIzMyU36ekpBi9PXYLQE8lN9dw0hN4PF3f0zCpqcZtIzW12G7M8jwnIlN72tjM3yt6amaIryWB3wEiKgmMy2SRjI3dajWgUABCyHGc5yYRlWaMy2Qxiuk6mucmmVqpS3zevn0bHh4eWtM8PDyQk5ODe/fu6e0nesGCBZgzZ46pqkhUtKdhsrKM24ax5Z5RkWczjCoXVte+hGtCRE+DsZlMjvG1RDEuE5VujMtkkYyNybm50lifubmM4/9hXCYq3RiXyWLwOrpYMC6bntLcFXgaTz4hIITQO11jxowZSE5Oll83btwo8TpSGVeYp2GepGcwaL2MLUdEZIEYm8nkGF+JiAxiXCaLZGxMtrKSWn0WZhkiIgvGuEwWg9fRVEqVusSnp6cnbt++rTUtISEB1tbWBgdvtrW1Rbly5bReZd2xY8fQs2dP+Pn5wdbWFh4eHmjevDkmT578VOsLDw/XSTwvX74c69atK4ba6lIoFAgPDzeq7J07dzB9+nTUq1cPTk5OsLOzQ/Xq1TFhwgRcvny5ROpXpKdhjO1ez8hyQ4cORUBAgHHrJCIyEcbmx9atWweFQqH1qlixItq2bYuffvpJp3xhYuDTUCgUGDdu3FMtGxAQoLUfjo6OCAoKwqeffio/qGY2Tk6IiYuDIiQEizZsyLccEVFZw7is399//41hw4YhMDAQdnZ2cHJyQlBQECIiIpCUlARAin1du3Y1c00NCwgIwNChQ59q2fnz5+OHH34o1voUirExWamUurktzDJERBaMcVmb5prZzs4O169f15nftm1b1K1b1ww1e3r67tc+GbPj4uIQHh6OU6dOmbRuWor5PjWRqZS6xGfz5s2xe/durWm//fYbgoOD9Y7vSboiIyPRokULpKSkICIiAr/99huWLl2K0NBQbNmypdi2U5KJT2MdP34c9erVw+rVq9G7d29s27YNv/zyC6ZMmYLo6Gg0adKkZDZclKdh7O0BA0l8mZubVI6IiJ4Za9euxZEjR3D48GGsXLkSVlZW6NatG3bu3GnuqhVKaGgojhw5giNHjmDDhg1wcHDAm2++iQULFpi3Yvb2QIUK+ZdhfCUiov+sWrUKjRs3RlRUFN5++2388ssv2L59O1555RV88cUXGDFihLmrWOLMnvg05trYxeVxT0qM40REz7TMzEy8++675q5Gidm+fTvee+89+X1cXBzmzJlj3sQn71NTKWX2MT5TU1Nx5coV+f21a9dw6tQpuLq6ws/PDzNmzMCtW7ewfv16AMDo0aPx6aefYtKkSRg5ciSOHDmC1atX4+uvvzbXLhgvLQ04dQo4fBi4eRPw8QFatAAaNgQcHU1WjYiICAQGBuLXX3+FtfXjU6Bfv36IiIgwWT1KWkpKCrp37w47OzscPnwYPj4+8ry2bdti1KhR2Lp1a7FsKyMjA3Z2do9bvRblaRgrK8DbW/q/vnFC3dyk+VZWT1dZIiKSWEhc1qhbty6Cg4Pl9506dUKFChXw9ddfo1u3biavz9MqX748mjVrJr9/8cUX4efnhxUrVuCdd94xX8WsrIBKlQzPL8b4mp2dDYVCofV3lkZ6ejocHByKvA0iomeOBcXlI0eOYMyYMWjfvj1++OEH2NrayvPat2+PyZMn45dffjFpncokzbWxEMB/LWy1uLhIrT3T0qT/u7vzOpmIqLhYUFzW6NSpEzZv3owpU6agQYMGZqlDSWrUqJG5q6CL96mplDJ7i88TJ06gUaNG8hd70qRJaNSoEWbNmgUAiI+PR2xsrFw+MDAQu3btwr59+9CwYUO8//77WLZsGV5++WWz1N9osbHAmDFAy5bA1KnAsmXSvy1bStPz7GNJS0xMhLu7u96bcUql9imxZcsWdOjQAV5eXrC3t0ft2rUxffp0pKWl5buNgIAAnDt3Dvv375e7u8vbfD8lJQVTpkxBYGAgbGxsULlyZUycOFFnvSkpKRg5ciTc3Nzg5OSETp064dKlS0bt56pVq3D79m1ERERoJT3z6t27t/z/EydOoF+/fggICIC9vT0CAgLw6quv6nShoOle4bfffsPw4cNRsWJFODg4IDMzE1euXMGwYcNQvVEjOLRqhcpduqDbW2/hTJ7kPgDs++svKEJCsPmHHzBt2jR4eXnByckJ3bp1w507d/AwKwuvz58P944d4d6hA4ZFRCC1QgWgVi3Azw+wtYUQAsuXL0fDhg1hb2+PChUqoHfv3vj333+NOj5ERGWaBcVlQ+zs7GBjY1NgjxZ3797F2LFj8dxzz8HJyQmVKlXC888/j4MHD+qUzczMxNy5c1G7dm3Y2dnBzc0N7dq1w+HDhw2uXwiBd955ByqVCqtWrSr0fpQrVw41atTAnTt3tKbv3r0b3bt3h4+PD+zs7FCtWjWMGjUK9+7d09m/119/Hb6+vrC1tUXFihURGhqK33//XS6j6dro4MGDaNasGezt7VG5cmW89957yM3Nfbyy/25cq93d8cHWrfDr3h12LVsi+PXX8cfly/J8jcuXL6N///6oVKkSbG1tUbt2bXz22WdaZfbt2weFQoENGzZg8uTJqFy5MmxtbXHlyhUMHToUTk5OOHPmDDp06ABnZ2e88MILeP/992Ftba13rJ7hw4fDzc0Njx49KvSxJiIqtSwsLs+fPx8KhQIrV67USnpq2NjY4KWXXtKa9ssvvyAoKAj29vaoVasW1qxZo7Pc2bNn0b17d1SoUAF2dnZo2LAhvvrqK51yDx48wOTJk1GlShXY2tqiUqVK6NKlCy5evCiXSUpKwtixY1G5cmXY2NigSpUqmDlzJjIzM/Pdt0ePHmHy5Mlo2LAhXFxc4OrqiubNm2PHjh1a5RQKBdLS0vDVV1/J1/Rt27aV59++fRujRo2Cj48PbGxsEBgYiDlz5iAnJyff7RearS3g7Ax4eAAVK0o3WD09petie3vA2lqal5Mj3aQnIqKis7C4rDF16lS4ublh2rRp+ZYz9p6psdekmiHeTp48iV69eqFcuXJwcXHBwIEDcffuXa2yarUaERERqFWrlhzDBw8ejJs3bxa4f3m7ut23bx9CQkIAAMOGDZNjsWbYm8Lex967dy/GjBkDd3d3uLm5oVevXoiLiyuwTgCkWOznJ92X9vGRHij28dG6T01kacze4rNt27b5jvmkr6vUNm3aIDo6ugRrVczS0oB33wUMjSe1YQOgUADLl5vkiZnmzZvjyy+/xPjx4zFgwAAEBQUZvKl6+fJldOnSBRMnToSjoyMuXryIhQsX4vjx49izZ4/BbWzfvh29e/eGi4sLli9fDgDyBWN6ejratGmDmzdv4p133kH9+vVx7tw5zJo1C2fOnMHvv/8OhUIBIQR69OiBw4cPY9asWQgJCcGff/6Jzp07G7Wfv/32m9xNoDFiYmJQs2ZN9OvXD66uroiPj8fnn3+OkJAQnD9/Hu7u7lrlhw8fjrCwMGzYsAFpaWlQqVSIi4uDm5sbPvzwQ1R0cUHS1av46ptv0HToUJzcuBE1Ncnf//rmf+fdd9GuXTusW7cOMTExmDJlCl599VVYW1ujQYMG+Pqbb3Dy5Em88847cPb0xLJly+Ttjxo1CuvWrcP48eOxcOFCJCUlYe7cuWjRogVOnz4NDw8Po/abiKjMsbC4rJGbm4ucnBwIIXDnzh189NFHSEtLQ//+/fNdTjPG2OzZs+Hp6YnU1FRs374dbdu2xR9//CHfpMzJyUHnzp1x8OBBTJw4Ec8//zxycnJw9OhRxMbGokWLFjrrzszMxNChQxEZGYmdO3eiU6dOhd6vnJwc3LhxAzVq1NCafvXqVTRv3hyvvfYaXFxcEBMTg//9739o2bIlzpw5I/9tMmjQIERHR+ODDz5AjRo18ODBA0RHRyPxiadNb9++jX79+mH69OmYO3cuIiMjMW/ePNy/fx+ffvqpVtlPV62Cv78/lnzyiXxh2rlrV+zfvx/NmzcHAJw/fx4tWrSAn58fFi9eDE9PT/z6668YP3487t27h9mzZ2utc8aMGWjevDm++OILKJVKVPqvdWlWVhZeeukljBo1CtOnT0dOTg4aNmyIDz74ACtWrMC8efPkdSQlJeGbb77BuHHjYGdnV+hjTURUKllYXM7NzcWePXvQuHFj+Pr6GrXM6dOnMXnyZEyfPh0eHh748ssvMWLECFSrVg2tW7cGAPzzzz9o0aIFKlWqhGXLlsHNzQ0bN27E0KFDcefOHUydOhUA8PDhQ7Rs2RIxMTGYNm0amjZtitTUVBw4cADx8fGoVasWHj16hHbt2uHq1auYM2cO6tevj4MHD2LBggU4deoUIiMjDdY1MzMTSUlJmDJlCipXroysrCz8/vvv6NWrF9auXYvBgwcDkFq9Pv/882jXrp3c7Z5mjLnbt2+jSZMmUCqVmDVrFqpWrYojR45g3rx5iImJwdq1a5/6+OuVkQEkJEjngVIJqNXSdM3/NfeUzNQCiYjomWJhcTkvZ2dnvPvuu5gwYQL27NmD559/Xm85Y++ZGntNqtGzZ0/06dMHo0ePxrlz5/Dee+/h/PnzOHbsmFx2zJgxWLlyJcaNG4euXbsiJiYG7733Hvbt24fo6Gid+8uGBAUFYe3atRg2bBjeffddhIWFAYDcuKew97Ffe+01hIWFYfPmzbhx4wbefvttDBw4MN/7+1qsrKSeCzmWJ5UWogxKTk4WAERycrLBMhkZGeL8+fMiIyOj6Bs8dEgI6U/x/F+HDhV9W0a4d++eaNmypQAgAAiVSiVatGghFixYIB4+fGhwObVaLbKzs8X+/fsFAHH69Gl53uzZs8WTp1OdOnVEmzZtdNazYMECoVQqRVRUlNb0rVu3CgBi165dQgghfv75ZwFALF26VKvcBx98IACI2bNn57uftWrVEp6envmWyU9OTo5ITU0Vjo6OWnVYu3atACAGDx5c8DoyM0VWUpKoXqWKeGvECCHi44V4+FDs/f13AUB069ZNq/zEiRMFADF+/Hit6T169BCurq7y+yNHjggAYvHixVrlbty4Iezt7cXUqVPlaUOGDBH+/v751rNYz3cT+elMulEvyp8xv4dEplDQufgsx2VNXHnyZWtrK5YvX65TvqAYmJOTI7Kzs8ULL7wgevbsKU9fv369ACBWrVqVb30AiDfeeEMkJiaKli1bisqVK4tTp04ZtS/+/v6iS5cuIjs7W2RnZ4vr16+LkSNHCpVKJX766SeDy2n+xrh+/boAIHbs2CHPc3JyEhMnTsx3u23atNFZTgghRo4cKZRKpbh+/boQQohr164JAMLb21vrXEpJSRGurq7ixRdflKd17NhR+Pj46JyT48aNE3Z2diIpKUkIIcTevXsFANG6dWudeg0ZMkQAEGvWrNE7r1KlSiIzM1OetnDhQqFUKsW1a9cM7qulxmzG5eLD2EyWoCzH5du3bwsAol+/fkaV9/f3F3Z2dnKsEUI6Pq6urmLUqFHytH79+glbW1sRGxurtXznzp2Fg4ODePDggRBCiLlz5woAYvfu3Qa3+cUXXwgA4ttvv9WavnDhQgFA/Pbbb1r1GzJkiMF1af5uGDFihGjUqJHWPEdHR73Ljho1Sjg5OWntsxBCLFq0SAAQ586dM7i9pxIfL0RUVMGv+Hh5EUuNl6bCuFx8GJfJEpTluCzE42vmqKgokZmZKapUqSKCg4OFWq0WQkjXg3Xq1BFCFO6eaV75XZNq7nu/9dZbWsts2rRJABAbN24UQghx4cIFAUCMHTtWq9yxY8cEAPHOO+/I0/Tdr30yZkdFRQkAYu3atQUeo4LuYz9Zp4iICAFAxOeJnSWJcZlxubgYG5fN3tVtmZBP93FPVa6I3NzccPDgQURFReHDDz9E9+7dcenSJcyYMQP16tXTas7/77//on///vD09ISVlRVUKhXatGkDALhw4cJTbf+nn35C3bp10bBhQ+Tk5Mivjh07QqFQYN++fQCAvXv3AgAGDBigtXxBLV+eVmpqKqZNm4Zq1arB2toa1tbWcHJyQlpamt591de9ck5ODubPn4/nnnsONjY2sLa1hY2rKy7/+y8u3Loldcnj5CT3e961a1et5WvXrg0A8lM8eacnJSUhNTUVgHQMFQoFBg4cqHUMPT090aBBA/kYEhGRHhYWlzXWr1+PqKgoREVF4eeff8aQIUPwxhtv6LRW1OeLL75AUFAQ7OzsYG1tDZVKhT/++EMrfv3888+ws7PD8OHDC1zftWvX0Lx5c6SkpODo0aOFGj9l165dUKlUUKlU8Pf3x6pVq/DJJ5/oxLaEhASMHj0avr6+cp39/f0BaP+N0aRJE6xbtw7z5s3D0aNHkZ2drXe7zs7OOt0O9u/fH2q1GgcOHNCa3qtXL60Wlc7OzujWrRsOHDiA3NxcPHr0CH/88Qd69uwJBwcHrVjbpUsXPHr0CEePHtVaZ37DLuibN2HCBCQkJOC7774DIHWJ9PnnnyMsLExreAAiomeehcblwmjYsCH8/Pzk93Z2dqhRo4ZWd3N79uzBCy+8oNOKdOjQoUhPT8eRI0cASPG6Ro0aePHFFw1ub8+ePXB0dNQaukWzLgD4448/8q3vd999h9DQUDg5OckxePXq1UZf4//0009o164dvL29tWKkpnem/fv3G7UeoxnbuoStUIiIis7C47KNjQ3mzZuHEydO4Ntvv9WZX5h7psZek2o8eY+6T58+sLa2lu9ha/7VxGONJk2aoHbt2gXG58Io7H3sJ6+V69evDwA6XeMSPSuY+DQFI/rwBgDculWy9XhCcHAwpk2bhu+++w5xcXF46623EBMTg4iICADSD2irVq1w7NgxzJs3D/v27UNUVBS2bdsGAMjIyHiq7d65cwd///23fFNU83J2doYQQk68JiYmwtraGm5ublrLe3p6GrUdPz8/3L17t8DxSDX69++PTz/9FK+99hp+/fVXHD9+HFFRUahYsaLeffXy8tKZNmnSJLz33nvo0aMHdu7ciWPHjiEqKgoNGjTQuw5XV1et9zY2NvlO14z3defOHQgh4OHhoXMcjx49qtMXPRER5WGhcbl27doIDg5GcHAwOnXqhBUrVqBDhw6YOnUqHjx4YHC5//3vfxgzZgyaNm2K77//HkePHkVUVBQ6deqkFXvu3r0Lb29vnfG89Tl+/DguXbqEvn37Ghwn25CWLVsiKioKR48exYYNGxAQEIBx48bh0KFDchm1Wo0OHTpg27ZtmDp1Kv744w8cP35cTibmrfeWLVswZMgQfPnll2jevDlcXV0xePBg3L59W2u7+rp41/zN8GS3uPr+lvD09ERWVhZSU1ORmJiInJwcfPLJJzpxtkuXLgCgE2v1/V0AAA4ODnLXgHk1atQIrVq1kscM/emnnxATE4Nx48bpXQ8R0TPLwuKyu7s7HBwccO3aNaOXefKaFZCGeskbzxITE/XGCm9vb3k+IMXrgmJvYmIiPD09oVAotKZXqlQJ1tbWOnEvr23btqFPnz6oXLkyNm7ciCNHjiAqKgrDhw83enzpO3fuYOfOnToxsk6dOgB0Y2SR2dtLY3vmx81NKkdEREVjYXFZn379+iEoKAgzZ87UeTDW2Humhbkm1XjyOlJz31oTdzX/Gor3+cXnwirsfewn/1bRDEn3tPf3iSyd2cf4LBOMvWFYuXLJ1iMfKpUKs2fPxscff4yzZ88CkJ4ijYuLw759++RWngDyvflqDHd3d9jb22PNmjUG5wPSD3JOTg4SExO1fpyfvNFpSMeOHfHbb79h586d6NevX75lk5OT8dNPP2H27NmYPn26PF0z/ok+T15kAsDGjRsxePBgzJ8/X2v6vXv3UL58eaPqbQx3d3coFAocPHhQDlR56ZtGRET/KQVxWaN+/fr49ddfcenSJTRp0kRvmY0bN6Jt27b4/PPPtaY/fPhQ633FihVx6NAhqNXqApOfffv2haenJ2bOnAm1Wo13333X6Dq7uLggODgYANC0aVM0bdoUDRo0wNixY3Hq1CkolUqcPXsWp0+fxrp16zBkyBB52StXruisz93dHUuWLMGSJUsQGxuLH3/8EdOnT0dCQgJ++eUXudydO3d0ltX8zfDkRZ6+vyVu374NGxsbODk5QaVSwcrKCoMGDcIbb7yhdz8DAwO13uv7uyC/6QAwfvx4vPLKK4iOjsann36KGjVqoH379gbLExE9kywsLltZWeGFF17Azz//jJs3bxb6ASBD3NzcEB8frzM9Li4OwOPr4IoVK+JmATed3dzccOzYMQghtOJMQkICcnJy8h0/bOPGjQgMDMSWLVu0ls3MzDR6X9zd3VG/fn188MEHeudrkrnFxsoK0KxT301jNzdp/n89KxERURFYWFzWR6FQYOHChWjfvj1WrlypNc/Ye6aFuSbVuH37Nirn2e8n71tr/o2Pj9f5+yEuLs7o8T0L8jT3sYnKGrb4NIUWLYq3XBHpu9gCHjfh11ykaC6CngwSK1asMGo7Tz7hqtG1a1dcvXoVbm5ucsuWvC9N927t2rUDAGzatElr+c2bNxu1/REjRsDT0xNTp07FLQNPIWlaryoUCgghdPb1yy+/RG5urlHb06znyXVERkYa3P7T6tq1K4QQuHXrlt5jWK9evWLdHhHRM8XC4nJ+Tp06BUC6CWqIvtjz999/y13maXTu3BmPHj3CunXrjNr2u+++iyVLlmDWrFmYMWNGoeqdV/Xq1TF16lScOXMGW7ZskesMFP5vDD8/P4wbNw7t27dHdHS01ryHDx/ixx9/1Jq2efNmKJVKtG7dWmv6tm3btFq1PHz4EDt37kSrVq1gZWUFBwcHtGvXDidPnkT9+vX1xlp9rXsKq2fPnvDz88PkyZPx+++/Y+zYsfkmSomInkkWGJdnzJgBIQRGjhyJrKwsnfnZ2dnYuXNnodb5wgsvyA8X57V+/Xo4ODigWbNmAKR4fenSJezZsyffdaWmpuKHH37QWZdmviEKhQI2NjZa8eb27dvYsWOHTtn8runPnj2LqlWr6o2RxZ74lCoD+PkBtWpJN+UrVZL+rVVLms6Hf4mIiocFxmV9XnzxRbRv3x5z586VhwYDjL9n+jTXpE/eo/7222+Rk5ODtm3bAgCef/55ANJDRnlFRUXhwoUL+cZnfQy1yiyu+9hEzzK2+DSFhg2BQYOADRsMlxk8WCpnAh07doSPjw+6deuGWrVqQa1W49SpU1i8eDGcnJwwYcIEAECLFi1QoUIFjB49GrNnz4ZKpcKmTZtw+vRpo7ZTr149fPPNN9iyZQuqVKkCOzs71KtXDxMnTsT333+P1q1b46233kL9+vWhVqsRGxuL3377DZMnT0bTpk3RoUMHtG7dGlOnTkVaWhqCg4Px559/YkN+xzEPFxcX7NixA127dkWjRo0wbtw4NG/eHDY2Nrh8+TI2btyI06dPo1evXihXrhxat26Njz76CO7u7ggICMD+/fuxevXqQrXU7Nq1K9atW4datWqhfv36+Ouvv/DRRx8V21PCGqGhoXj99dcxbNgwnDhxAq1bt4ajoyPi4+Nx6NAh1KtXD2PGjCnWbRIRPTMsLC5rnD17Fjk5OQCkLnK2bduG3bt3o2fPnjqtC/Pq2rUr3n//fcyePRtt2rTBP//8g7lz5yIwMFBeHwC8+uqrWLt2LUaPHo1//vkH7dq1g1qtxrFjx1C7dm29vSNMmDABTk5OeP3115Gamoply5Y9VWJuypQp+OKLLzBnzhz06dMHtWrVQtWqVTF9+nQIIeDq6oqdO3di9+7dWsslJyejXbt26N+/P2rVqgVnZ2dERUXhl19+Qa9evbTKurm5YcyYMYiNjUWNGjWwa9curFq1CmPGjNEadw2QWvO0b98ekyZNglqtxsKFC5GSkoI5c+bIZZYuXYqWLVuiVatWGDNmDAICAvDw4UNcuXIFO3fuzPeGtLGsrKzwxhtvYNq0aXB0dNQZC4aIqEywwLjcvHlzfP755xg7diwaN26MMWPGoE6dOsjOzsbJkyexcuVK1K1bF926dTN6nbNnz5bHxpw1axZcXV2xadMmREZGIiIiAi4uLgCAiRMnYsuWLejevTumT5+OJk2aICMjA/v370fXrl3Rrl07DB48GJ999hmGDBmCmJgY1KtXD4cOHcL8+fPRpUuXfMcH7dq1K7Zt24axY8eid+/euHHjBt5//314eXnh8uXLWmXr1auHffv2YefOnfDy8oKzszNq1qyJuXPnYvfu3WjRogXGjx+PmjVr4tGjR4iJicGuXbvwxRdfFPs1MACpRaeTE8fyJCIqSRYYlw1ZuHAhGjdujISEBLm7dWPvmRp7TZrXtm3bYG1tjfbt2+PcuXN477330KBBA/Tp0wcAULNmTbz++uv45JNPoFQq0blzZ8TExOC9996Dr68v3nrrrULtX9WqVWFvb49Nmzahdu3acHJygre3N7y9vYvlPjbRs4yJT1NwdATmzQMUCuC/JzC1DB4MvP++VM4E3n33XezYsQMff/wx4uPjkZmZCS8vL7z44ouYMWMGateuDUC6gRgZGYnJkydj4MCBcHR0RPfu3bFlyxYEBQUVuJ05c+YgPj4eI0eOxMOHD+Hv74+YmBg4Ojri4MGD+PDDD7Fy5Upcu3YN9vb28PPzw4svvii3+FQqlfjxxx8xadIkREREICsrC6Ghodi1axdq1apl1L42adIEZ86cwccff4xvv/0WCxcuRG5uLnx9ffHCCy/g008/lctu3rwZEyZMwNSpU5GTk4PQ0FDs3r0bYWFhRh/bpUuXQqVSYcGCBUhNTUVQUBC2bdtWqC4CjbVixQo0a9YMK1aswPLly6FWq+Ht7Y3Q0FCD3SESEREsLi5rDBs2TP6/i4sLAgMD8b///Q9jx47Nd7mZM2ciPT0dq1evRkREBJ577jl88cUX2L59O/bt2yeXs7a2xq5du7BgwQJ8/fXXWLJkCZydndGgQQN06tTJ4PpHjBgBR0dHDBo0CGlpafjyyy+NGic0LycnJ8yaNQtvvPEGNm3ahMGDB2Pnzp2YMGECRo0aBWtra7z44ov4/ffftZKUdnZ2aNq0KTZs2ICYmBhkZ2fDz88P06ZNw9SpU7W24enpic8++wxTpkzBmTNn4OrqinfeeUcrmakxbtw4PHr0COPHj5cvkiMjIxEaGiqXee655xAdHY33338f7777LhISElC+fHlUr15dHuezOPTt2xfTpk3DoEGD5JveRERlioXG5ZEjR6JJkyb4+OOPsXDhQty+fRsqlQo1atRA//79Cz0mc82aNXH48GG88847eOONN5CRkYHatWtj7dq1Wg++ODs749ChQwgPD8fKlSsxZ84cVKhQASEhIXj99dcBSPFx7969mDlzJj766CPcvXsXlStXxpQpUzB79ux86zFs2DAkJCTgiy++wJo1a1ClShVMnz4dN2/e1ImZS5cuxRtvvIF+/fohPT0dbdq0wb59++Dl5YUTJ07g/fffx0cffYSbN2/C2dkZgYGB6NSpEypUqFCoY0NERBbEQuOyPo0aNcKrr76q0zugMfdMVSqVUdekeW3btg3h4eH4/PPPoVAo0K1bNyxZsgQ2NjZymc8//xxVq1bF6tWr8dlnn8HFxQWdOnXCggULCt1rkIODA9asWYM5c+agQ4cOyM7OxuzZsxEeHl4s97GJnmUKIYQwdyVMLSUlBS4uLkhOTka5cuX0lnn06BGuXbuGwMBA2NnZFc+G09KAU6eAw4elAaArV5a6BWjY0CKCBZVdJXK+l7DIs8YNvh1W176Ea1K6GfN7SGQKBZ2LjMuUn7Zt2+LevXvyOOWlySeffILx48fj7Nmz8lPK+bHUmM24XHwYm8kSMC5TaWep8dJUGJeLD+MyWQLGZfMKDw/HnDlzcPfu3WIbp7OsYVxmXC4uxsZltvg0JUdHIDRUehEREZF5MS6TGZ08eRLXrl3D3Llz0b17d6OSnkREzzTGZSIiIsvBuExEpRgTn6XIgwx1gWXK2xeu6zkiIiJ6OsbEZYCxmfTr2bMnbt++jVatWuGLL74wd3WIiEo9xmUiIiLLwbhMRObExCcRERERlWp5xzItLWJiYsxdBSIiIiIiIipAeHg4wsPDzV0NIioEPlJBRERERERERERERERERKUeW3wSEREREREREZHlys0FMjKA1FQgKwuwsQGcnAB7e8DKyty1IyIiIiILwsQnERERERERERFZpsxMIC4OSEzUnefmBnh7A7a2pq8XEREREVkkJj6J6JkWeTbDqHJhde1LuCZERGRxDLUeyckB0tKA7GxApQIcHaWXSmXuGpd6jMtERFQoubmGk57A4+l+fmz5+RQYl4mIiCwH43LxYeKTiIiIiMoefa1HKlQAHj4EkpN1y5cvL7UocXAwWRWJiIjKvIwMw0lPjcREoGJF6eElIiIiIirzlOauABERERGRSelrPeLoCKjV+pOeAPDggbRMTo5JqkhERESQemUoznJERERE9Mxji08isijGNuknIiJ6avpajzg5AXfu5L/cgwfSjdXy5UuqZhaHcZmIiMwqK6t4y5VyjMtERESWhbHZMjHx+RTMdTLnCKH1vk01uyKt7++//8bSpUuxb98+xMXFAQB8fHzw/PPPY+TIkQgODi7S+s1JoVBg9uzZCA8P1zu/bdu22L9/f4HryW8dxkhPT0dERATatm2Ltm3bas0LDw/HnDlzcPfaNbjb2WmPLWZvz/FJiIgKwRyxmXHZeBYXl+vXR1s/v7wVRPjixZizdCnu7t4N9/wSm2lpZSrxSUT0NBiXLZvFxeX8rpfPnoW7MSuzsXnqehARPesYly1bqYrLd+/C3d2oyExkVkx8llErVqzAuHHjULNmTUyYMAF16tSBQqHAhQsX8PXXXyMkJARXrlxB1apVzV3VErF8+XKkpKTI7yMjIzFv3jysXbsWtWrVkqf7+PgUaTvp6emYM2cOAOgEDLmrvCtXdG+gurlJ44jZ2hZp+0REVDowLps4Lk+ciLYDBjyeYWUldXNrjOzsItWBiIgsH+OyBVwvazg6Sj01FITjexIRPbMYly0oLhOVEkx8lkF//vknxo4diw6duuCrzd/BJs+TkUHN22LA8DH4Ydt3yEL+Sbf09HQ4ODiUdHVLxHPPPaf1/uLFiwCAunXr5vuEULHtc24u8PCh4fma7vf8/Njy00SMefotrK69CWpCRGUN47IZ4vKTsTU3F1AqjVtWpSr89qjQjH0qnbGZiIob47IFXC/nZW8vPRj8ZBf1ebm5SeWoxDAuE5G5MC5bWFwmi8C4XDAj7/DQs2T+/PmwsrLCx598oRUs8urR6xV4eXvL74cOHQonJyecOXMGHTp0gLOzM1544QUAQFJSEsaOHYvKlSvDxsYGVapUwcyZM5GZmSkvHxMTA4VCgXXr1ulsS6FQaDXDDw8Ph0KhwLlz5/Dqq6/CxcUFHh4eGD58OJKTk7WWTUlJwciRI+Hm5gYnJyd06tQJly5dKsLReUxTj+joaPTu3RsVKlSQnxzS1+QfkI5TQECAvM8VK1YEAMyZMwcKhQIKhQJDhw6Vnlj976nVO4mJeHXmTLi0bQuPjh0xfO5cJKemShd2xjzZSkREpRrjsnGKNS4vXgxFSAgUISEYGh4OCAEoFADyicsajo7Fsj9ERGSZGJeNU6LXy3ncuXcPr06bBpd27fTHZU1vSXxgmIjomcS4bByTxeU7dwrcTyJLwBafZUxubi727t2LhkHB8PTyKtSyWVlZeOmllzBq1ChMnz4dOTk5ePToEdq1a4erV69izpw5qF+/Pg4ePIgFCxbg1KlTiIyMfOq6vvzyy+jbty9GjBiBM2fOYMaMGQCANWvWAACEEOjRowcOHz6MWbNmISQkBH/++Sc6d+781NvUp1evXujXrx9Gjx6NtLQ0o5fz8vLCL7/8gk6dOmHEiBF47bXXAEAKInku1F6eMQN9X3oJIwYPxpnz5zFj0SLA3h5rwsOlcuyyh4jomcW4XHjFEpeHD8drYWFAcjIqVqggFcjKkvZz2jT0bd8eI156CWeuXsWMzz6T9nPWLKlresZlIqJnliYuBwczLhurRK6X89Daz5MnMSM8HLCzw5ply6SYbG/PpCcR0TOKcbnwTBqX9ewnkaVg4rOMuXfvHjIyMuDr56czLzc3FyLPwNNWT1w8ZGdnY9asWRg2bJg8bcWKFfj777/x7bff4pVXXgEAtG/fHk5OTpg2bRp2796N9u3bP1VdR4wYgbfffhsA8OKLL+LKlStYs2YNVq9eDYVCgV9//RV79+7F0qVLMX78eHnbNjY2mDlz5lNtU58hQ4bI/ZsXhq2tLRo3bgxA6mO9WbNmj2fGxsr/HfHKK3j7v2P3Ys2auHLpEtbs2IHV778PxX+tT4iI6NnEuFx4xRKXfX3RLCwMiIt73HXef2N3jujb93FcbtoUV27cwJqdO7F68WIovL0Ba/75TET0rNLEZX9/f515jMv6lcj1ch5a+9mxoxSX16zB6i1beL1MRPSMY1wuPJPGZT37SWQp2NUtydq2CEHFcrby69Ol/9Mp8/LLL2u937NnDxwdHdG7d2+t6Zpm8H/88cdT1+ell17Sel+/fn08evQICQkJAIC9e/cCAAYMGKBVrn///k+9TX2e3OdiYWMjjxH2UkiI1qz61avjUWYmEq5dk1p85uYW//aJiMjiMS7rV2xx2dZWGku7Vi3Ax0fuwvalvn2BatUALy/A3R31g4OluOzgAHB8FCKiMotxWb8SuV7Oo6D9JCKisolxWT/GZSIJH1kvY9zd3WFvb48beVocaqxatxEZ6em4fTse/V/poTPfwcEB5cqV05qWmJgIT09PnSc6KlWqBGtrayRqWlE8BTc3N633trbSINUZ/417mZiYCGtra51ynp6eT71NfbwK2ZWCUZycpOQnALfy5bVm2f6XEM3IzATu3wc8PNitHhHRM4pxufCKNS5bWUkx1skJcHEBALj5+Uld2v4Xn209PAAAGf+1CCUiomeXJi5fv35dZx7jsn4lcr2cR0H7SUREzy7G5cJjXCaSsMVnGWNlZYXnn38ep6JP4HZ8vNa8WrWfQ6PGwahTt57eZfU1V3dzc8OdO3e0uhYAgISEBOTk5MDd3R0AYGdnBwBaA0UDKHJAycnJ0VnH7du3n3qd+jy53w8y1LBW2SI9IxMPMtRar/g7d6EWUpl82dsDxjb/zzMeKBERPVsYlwuvROIyERERHsflEycYl43FuExERCWFcbnwGJeJJEx8lkEzZsxAbm4uJo0fg+wCWi9ofgizcoXWe82reat2SE1NxQ8//KC13Pr16wEAL7zwAgDAw8MDdnZ2+Pvvv7XK7dix46n3o127dgCATZs2aU3fvHnzU6/TWL7+Abhy5ZJWAExKTMTxY0e0yhl86sXKCngiyBqUlVWkuhIRkWVjXC66IsXl3FzpIaO0NOl9fDxw/Tpw+7Y0Xc2LQCKisoRxueiKfL1MRET0H8blomNcprKIXd2WQaGhofjo408wbfIEtGkRjKHDR6JW7eegVCpx+3Y8dv6wDQDg7Oxc4Lr6DRiML1d+jiFDhiAmJgb16tXDoUOHMH/+fHTp0gUvvvgiAOlpk4EDB2LNmjWoWrUqGjRogOPHjxfpx71Dhw5o3bo1pk6dirS0NAQHB+PPP//Ehg0bnnqdxurbfyDWrV6JUcMHYfCw15CUlIhl/1sEZ2ftLhScnZ3h7++PHTt24IUXXoCrqyvc3d0REBAgJT+N8V+XuERE9GxiXC66p47LTk5wz81FgLc38OiRVOjOHSDvk71FeKqXiIhKn9DQUHz22Wd48803GZefUrFcLxMREYFxuTgwLlNZxMTnM8bYpunDR45GSNPmWPHZMiz/ZAlux8dBoVDAu7IPmjRrjh27dqN12+cLXI+dnR12/vwHIua9h48++gh3795F5cqVMWXKFMyePVur7OLFiwEAERERSE1NxfPPP4+ffvrpqX88lUolfvzxR0yaNAkRERHIyspCaGgodu3ahVq1aj3VOo3VrHkoPl+1FksWR2BAn54ICKyCqe+8h92//oxDB/ZrlV29ejXefvttvPTSS8jMzMSQIUOwbt064L+xPAvk6Fj8O0BERCZjTGxmXC6aIsXlHj2wLiJCO9mZl6bL+dzcEt0HIiIyDWPicr8hr6NOo6aMy0+pWK6XiYioTGBcZlwmKgkK8WSn1mVASkoKXFxckJycrDPIscajR49w7do1BAYGyv16m5sl97dd3r7s9Jps7OdQ4DF5+FDqRi852XAZFxfAywtwcipEDQvPks73yLOW251CWF17c1eh2Bnze0hkCgWdi5b0O6XBuGwZnjoup6YCFy8CHh5SK8+C1KpV4vHYGKb+LlhyXAYYm4lKCuNy8WJc1lXSx8QSz9HiwLhseozLZAkYl4sX47IuxuWnZ8mxuSzH5bLzLSeyJLm5UsJTqZSSm/q4uEjzNS1NiIiIqPikpgIKhfFjeDIeExERERERERFZPHZ1S2QOGRlSl3r370td2Xp4SDdec3OlsT81Cc+0NOO7xCUiIiLjZWVJMTcnx/jyRERERERERERk0Zj4JDKH1FTA+r+vX1qa9FIopISnWg3k7YHaxsY8dSQiInqW2dhIDxxZG/nnMOMxEREREREREZHFY+KTyByysoAn+zMXQroB+yQLGE+MiIjomePkJMVepZEjPzAeExERERERERFZPI7xSWQO9vZSV7eGxvfUqFBBKktERETFy94ecHOTemEoKB67uTEeExERERERERGVAkx8FkDk7XKUqLioVEBCgtTKxNDNVhcXwN1dGn+shPE8J6LSgr9XVGysrABvb6kHhvzisZubVM4E8dgY/A4QkSXhbxJZKp6bRFQW8bePLBXPTTI1dnVrgEqlAgCkp6fDnk/4U3F79Ej69/59wNER8PCQxvbMzZVurCqVUguUjIyCW6EUg/T0dACPz3siIkvDuEwlwtYW8POT4q0m5mZnAzk50jwnJ6mlp4UkPQHGbCKyDIzLZOnS0tKgUCgYL4moTGBcJkvHuEymxsSnAVZWVihfvjwSEhIAAA4ODlAoFGatU1am2qzbz88jRdlpPGzs55DvMfnvpiUAIC1NeikU0ksI6QVIN101SdISIIRAeno6EhISUL58eVhZ0I1dIqK8GJcLh3FZV77HxNoacHbWPy87W3qZGWM2EVkSxuXCYVzWVRLHRAiBnJwcpKSkICUlhfGSiMoMxuXCYVzWxbhMzxomPvPh6ekJAHLQMLeMLMttEm5vY95gakrGfg75HpPkZODBg4JXkpMjjQVawsqXLy+f70RElopx2XiMy7qelWPCmE1EloJx2XjPSgwyhiXEZSsrK3h5ecHFBL0nERFZCsZl4zEu62JcpmcNE5/5UCgU8PLyQqVKlZBtAU/677tUci3/iqptoJ25q2Ayxn4O+R6T6Ghg9OiCV7J5MxAYaGTNno5KpeLTNkRUKjAuG49xWVe+xyQ9Hbh8GbhzR+qG3sZG6nb+33+lMbkrVQLq1AEaNpT+byaM2URkSRiXjce4rKukjom1tTWsrKzM3tKJiMjUGJeNx7isi3GZnjVMfBrBysrKIm4y5Sot90kZO7uyEzCM/RzyPSY1agBBQcD27YbL9OoF1KwJlKFjS0RkDMblgjEu6zJ4TGJjga+/lsb4jIoCQkOB48eBHTt0y/boAUyfDjRt+vQVJiJ6xjAuF4xxWVdZOiZERKbEuFywshSDGJeprGLik8gczp0DVCogLAyIjJT+7+wMPHwojSMWFiaNN3b2LNCmjblrS0RE9GxKSwNWrgRSUoCrVwF3d8NJTwD44QdpPO5PPwW8vU1aVSIiojItLQ04dQq4eBHIygJu3QISE6UekkJDpV4ZHB3NXUsiIiIisgBMfBKZw4EDwLffAoMHA198AVy7Bty+DXh6Shduhw8D69cD9eox8UlERFRSTp0CHj2SurbdtQv4/HNgzJj8l9m+HejfH+jd2yRVJCIiKvNiY4F33wUyM4HUVClmP2nQIGDePMDPz/T1IyIiIiKLYhGJz+XLl+Ojjz5CfHw86tSpgyVLlqBVq1YGy2/atAkRERG4fPkyXFxc0KlTJyxatAhubm4mrDU9jcizGUaVC6trX8I1MaO0NOnCrU8f4N49/WN9dukizb950/T1IyKiMqPMx+WjR6WbqLm5gIMDEBNj3HLR0Ux8EhFRsSvzcVmftDQp6fnPP1LPDPqSngCwYYPUK8Py5Wz5SURExYJxmaj0Upq7Alu2bMHEiRMxc+ZMnDx5Eq1atULnzp0RGxurt/yhQ4cwePBgjBgxAufOncN3332HqKgovPbaayauOdFTOn8eqFtX90lVlQpwdZX+3bVLusCrVct89SQiInrW3bsnje2ZlAR4eUm9LxjD2HJERERUNKdOSUnNVq0MJz011q+XyhMRERFRmWb2Fp//+9//MGLECDlxuWTJEvz666/4/PPPsWDBAp3yR48eRUBAAMaPHw8ACAwMxKhRoxAREWHSehM9tePHgQoVHl+0NWkCtG4tJTqTkqTkp6Oj1B0uWzETERGVHHd36UEkGxsgPl7qct4YxpYjIiKiojl8WHo4OD3d+PKhoSVbJyIiIiKyaGZNfGZlZeGvv/7C9OnTtaZ36NABhw8f1rtMixYtMHPmTOzatQudO3dGQkICtm7dirCwMIPbyczMRGZmpvw+JSWleHaA6GncuAFY//fV69NHuuG6aJF0MefsDDx8CGRnS93dZhjXpQIRUWnD2EwWoVmzx60309OlcbaNERRUcnUiIjIDxmWyWDdvStfJSUnGlb91q2TrQ0RkAozLRERFY9aubu/du4fc3Fx4eHhoTffw8MBtA12ItWjRAps2bULfvn1hY2MDT09PlC9fHp988onB7SxYsAAuLi7yy9fXt1j3g6hQqlYF7tyRWnqmpkrd7E2ZArz2GtC+vfTvlCnS9F9/lVqCEhE9YxibySI0bAjY2krjfHbpIrUS6d49/2V69gRatDBJ9YiITIVxmSyWj4/0cLCrq3HlK1cu2foQEZkA4zIRUdGYfYxPAFAoFFrvhRA60zTOnz+P8ePHY9asWfjrr7/wyy+/4Nq1axg9erTB9c+YMQPJycny68aNG8Vaf6JCqVsXqFRJGqPEyUnqZm/RIuDzz4EtW6R/Fy2Spltb4/aBv8xdYyKiYsfYTBbB0RF4/XXppmpICJCYKD2Y1KOH3uKiZ0+kTHwb8PY2bT2JiEoY4zJZqtt1m0o9Ijk6GrcAH04iomcA4zJZqsizGUa9iMzNrF3duru7w8rKSqd1Z0JCgk4rUI0FCxYgNDQUb7/9NgCgfv36cHR0RKtWrTBv3jx4eXnpLGNrawtbW9vi3wGip1G/PnD1KnD9OnDhwuOxPp+0axcQFobysZex61wIhCh41WF17Yu3rkREJYSxmSyGnx/wxhvA2bNAvXpQJyZC8dJLUsvOixelrnA9PZHbKAixtZvgAioCRl7IMS4TUWnBuEyWKsa3Dlz7D4TNgQNS7wyGrp8BZA4YjGiX2kgyEKcZl4motGBcptLOmOQn4zKVJLMmPm1sbNC4cWPs3r0bPXv2lKfv3r0b3Q10M5aeng5ra+1qW1lZAZBaihJZPEdHoFEjaYySfC7aAACRkVB1CYO1EsjONU31iIiIyhxHR6BpU6BpU/xxIQMKBSAAqIMBexWQng3kqs1dSSIiorInEQ64MiEc1ZbNgU12JhAWBkRG6pTLHDAYV8fPQhJ4E5WIiIiorDNr4hMAJk2ahEGDBiE4OBjNmzfHypUrERsbK3ddO2PGDNy6dQvr168HAHTr1g0jR47E559/jo4dOyI+Ph4TJ05EkyZN4M1ux6g0SEsDPv5Y6u7WCIpbt5DLnD4REZFJZD3xoNHDTPPUg4iIiCTXHLyRPH0JAm6cRYXYy1B1CYPi1i2I+/eRXdkP94OaI8a3LpOeRERERATAAhKfffv2RWJiIubOnYv4+HjUrVsXu3btgr+/PwAgPj4esbGxcvmhQ4fi4cOH+PTTTzF58mSUL18ezz//PBYuXGiuXSAqnFOngO3bgV69jCt//z6sFAAbmhAREZU8KyVQzkZq8fkw63FLT4UCsFYCOWoY1f08ERERFZ8k2CPJNwQKvxBYK4FcAVgpGJeJiIiISJfZE58AMHbsWIwdO1bvvHXr1ulMe/PNN/Hmm2+WcK2ISsjhw8DDh4Ce8Wj1EZ6eyGHWk4iIqGTFxQEXL6JjfDxw7hwQHw94e0MEhyDDxRWKI0ehjLsJtbcPUoKaIca3DhLhYO5aExERlSlCPB4GhpfJRERERKSPRSQ+icqUmzelf6tXN6q4olrVEqwMERER4dgxKdn5449Q7NihNUsBwLFLF8DJCfj2WwCAAwDX/gNxZUI4rjlwqAUiIiIiIiIiIkvBxCcVi8izGeauQunh4wO4ugIJCUCXLsCuXYbLhoUBd+5ApdQdc4yIiMgQxuVCiIsDDhwA/vwTeCLpKdu1S4rJISFAVBQAwGbzRlRTKJA8fQnHFCMionwxLhMREVkOxmWiZ5/S3BUgKnNatJD+PXdOaj0SFqa/XFgY4OgInL8gNTchIiKi4nf4MODsbDjpqREZCbRurTXJZtMGBNw4W4KVIyIiIiIiIiKiwmCLTyJTa9gQ6NwZ8PAAPvxQaj0yeTKQng7cvw9UqAA4OEitT6KioJ4zVx7DhIiIiIrZ2bPAo0fGlU1PB1QqIDtbnuQSfRQKvxAIUUL1IyIiIiIiIiIiozHxSWRqjo7AW28BR45I76OipJdKJbUATU3VuqGaHNKSN1OJiIhKSkYGcOeOcWXv35di9f378iRlfBysleBDSkREREREREREFoBd3RKZWloasGiR1LXeK69oz7Oxkcb/VKkAADn9B+KSbwMzVJKIiKiMsLcHPD2NK1uhgvSAUh5qL2/kqEugXkREREREREREVGhs8UlkaqdOARs2SP/v00dq/Vm5snTj9do1IDER8PCAukoV3GzUBkmwN2t1iYiInmn16gH37hlX1sFBq1cGAEgOasaeGYiIiIiIiIiILAQTn0Smdviw9vvy5YE9e4Bdu7QmKwH4vDoA6RPn4JqDt8mqR0REVKY0bw5s2gR07w7s2GG4XFiYNP52HpkDBiPGt24JV5CIiIiIiIiIiIzFxCdRCYk8m6EzTWUFtI65ATsAaNIE8PAAjh3TSXpqWH+9CdWVCiRPX1rqW37qOx5ERESmYjgOVUCrpi3h7O4OhUIB/PCDbpGwMGmM7qgoeVLmgMG4On5WqY7PjM1ERGQujEG6eEyIiMhcGIN08ZiUbkx8EplQjhpQev03jthLLwH372snPVUqwNkZePhQ7kpPtWkjAgaMRJJviBlqTERE9Ow76NoQtV0rw9/XF8revYFz54DbtwEvL4jgYKS7uEN55AiUFb2g9vJGclAzxPjWLdVJTyIiIiIiIiKiZxETn0Qm5CrSYeXsBLz6KpCSAqSnSzOaNAFatwbS0oCkJMDVVWpZcuAAcPw4XE4ehcIvhGOIERERlZALqIgLnhVh5Q04N+0FCOBhNpCrluYregTDWik9xMR4TEREZHoKBRiLiYiIiKhATHwSmZB/7FlYRf8FWFkBiYlAairQp4/076JFugt06QL06QOruDhYK4HsXNPXmYiI6FmnUAAqJQCFlOjMVgO5uYC1FWCtAIRCisGMw0RERKbnhnQE3DiHctFHoYy7CbW3D1KCmiHGtw4S4WDu6hERERGRhWHik8hEFArA5eQxoGJFYNkyYNQoIDAQOHzY4Bif2LULCAuDeKEectSmrS8REdGzzg3pqJ7wD1xiLkEZ8y8Ud+4Azz0n9bxw/770oNKtW8C9e1D7+CI5pCUu+dbnTVYiIiITCUyPQ7Wl4bDZvFFrugMA1/4DcWVCOK45eJunckRERERkkZj4JDIRayWgvBMP5GRK43fa2QFuboaTnhqRkRDDR7IrHyIiomIUmB6HGnu2wvrggcexuE8f4LffACcnqTeGPDHaCoArgOBXB+DSxDm8yUpERFTC3JCuN+mpYbN5I6opFEievoTjbhMRERGRTGnuChCVFTlqQB0QKI3hCUgtPWNijFpWceEiFIqSqxsREVFZ4oZ0VP9hjXbSs0kTKdl5755O0jMv6683ofqycLgiw3QVJiIiKoP8Y88aTHpq2GzagIAbZ01UIyIiIiIqDZj4JDIRIYCU5xpJ3ecBwMWLwO3bxi0cHw9rfluJiIiKhX/sWaiyMrWTm61aSe81/+ZDtWkjb7ISERGVIHmoGCO4RB/lg8JEREREJGMqhciEYnyeQ27NWtKbhw8BB+PGCFN7eXOMTyIiomKgUAAup6OA9PTHE1Uq6b3mXyO4nORNViIiopJirQSUcTfzL6RSAa6uUCbc4YPCRERERCTjGJ9EJpQIB9wI7QT/nj2h2L4dcHQ0arnkoGYc45OIiKgYWCsB5f17j7ueBwBnZ+m95l8jWMXFwVoJZOeWUEWJiIjKsBw1oPb20T+zSROgdWsgLQ1ISoKNkz3qx0QhxrcOEmHcw8VERERE9Oxi4pPIxM7Z+cJu+lx42NpCceAA0KVLvl3qZQ4YjBjfuiasIRER0bMrRw2oK7gDqSmPJz58KHVFr/nXCLne7I2BiIiopAgBpAQ1001j9ukjjcW9aJE8SQnAEx/Atf9AXJkQjmsO3qasKhERERFZGHYGQmRigelxcF26EIqrV6VxxPr3B3r21FtW9OqF+2MmIgn2Jq4lERHRs0kIIKVhE+1eF7Kzpfeaf42Q3Ii9MRAREZWkGN86yOo/8PGEJk2kpKeBB4dtNm9EtWVz4IoME9WQiIiIiCwRW3wSmZAb0lFtaThsNm+UJigUwIULwN27wOTJ0rhi9+8DFSoADg5QHDgA188/huv0JUx+EhERFZMY3zpwU/0KVd5eFzS9MBjRG0P2gEHsjYGIiKiEJcIBVyaEo5pCAZtNG6QHhxcvzncZm00bEDDgNST5hpiolkRERERkaZj4JDIh/9izj5OegPaFW1QUoFIBTk7SU6zZ2QAAm6goXrgREREVo0Q44HKP4ajhshXWCgUQGQkcPy51n6dQSK0+w8Kk6U/I6T8Ql8fP5gNJREREJnDNwRvJ05cgYOBIeBz81ahuy1yij0LhF8KeGYiIiEqQQgFYK6XhZBhzydIw8UlkIgoF4HLy2OMJKpXUwjOv7GypxecTeOFGRERUvK45eCM5bCRqhLSGS6+XoYy5BkVCAtC8uTTO54MHQOfOwK1bQFIS1N6V8SCkJS75NmDSk4iIyISSYI/UgGC47vwOtkaUV8bHwVoJZOeWeNWIiIjKHDekI+DGOZSLPgpl3E2ovX2QEtQMMb51kKg7OjeRWTDxSWQi1krAOu7G4wnOzkBSklHL8sKNiIio+CXBHkcrNYTCoyFUzQEogFw1YGsNqHMBoQAgpH+zc/kUKxERkanJN1dPHYfK2bibqWovb+SoS7hiREREZVBgepz2MG7/cQDg2n8grkwIxzUHb/NUjigPJj6JTCRHDSg9Kj2e8PCh1KLECLxwIyIiKjlCAFn/PVykVAJKAEorID0HUOuJv+zSh4iIqOTp3FydMsWo5ZKDmjE+ExERFTM3pOtNemrYbN6IagoFkqcvYS9JZHZMfBKZko/v4/9nZ0tjiBmBF25EREQlKxD3Uf3GGVjfjAWuXAHu3QN8fJATFILLVYNwDRXYpQ8REZGJ6L25mpAAdO8O7NhhcDnRqxcSfauboIZERERli3/sWYNJTw2bTRsQMOA1JPmGmKhWRPox8UlkItZKIPf2bVh36QLs2iVNPHAAyPtepZK6wH34UEqMAsgcMBgxvnXNVGsiIqJnX+Pki/DYGwnFkSOPY/J/VABq9+kDnzcmwm7FcnbpQ0REZAJ6b65WrAg8egSEhQGRkboLhYVBYW0NtxuXcZ03XImIiIqNQgG4nDxmVFmX6KNQ+IWwEQ+ZFROfRCaSowZyhRJwcnp8oXb8ONCnD/Dmm4CtLZCWJo376eoKODoiy8YWV7sPY/cAREREJSQQ9+GxbSMUFy/qJD01FN9+C2e1Gorr1/XOZ5c+RERExUfvzVWVCkhPB779FggJASZPlt7fvw9UqAA4OEgPFkdFwaV+Y95wJSIiKkbWSkAZd9Oossr4OFgrgezcEq4UUT6Y+CQyESGAlKBmcHh3mvaFmq8vEB0NbN2qs4yi/wAz1LTwIs9mmLsKRERETyXwn+NQKBQGk54aiq1bpdgdFaV3viV16cO4TEREpZnem6vOztJDwoAUi6OipGSokxOQmir3mARY3g1XxmUiIirtctSA2ttHe6KengsBQO3ljRy1iStYCIzLZQMTn0QmFONbB679B0pd9kRFAS1aALGx+rvpAaDavAnVFEq2ICEiIioBSiVge/qk9CCSMTIypIu7PBd1ebFLHyIioqLTe3P14UOpZ6S8srOlFp9PsPQbrkRERKWN3KAHAJo0AVq31um5EAcOAMePIzmoGa+JyeyY+CQyoUQ44MqEcFRTKGCzaQPQvDmweHG+y1hSCxIiIqJniZ01oLif9LgFSUEePJBalui5yQpYXgsTIiKi0kjr5qpGdrZ0U9UIvOFKRERU/GJ868B9wYewPngAWLRIt0CXLsj5cCFifOuavnJET2Di0wKweXXZcs3BG8nTlyBg4Eh4HPwVSiOWYQsSIiLTYVwuOx7lAKKCKxS5RmYqy5eXutMzgC1MiIiKH+Ny2aTVW5LGgQNAly75dk+fOWAwb7gSEZUgxuUy7u8zhuPwrl1AeVcgzLRVItLHmJwLERWzJNjjjH8wsh6kGFVe04KEiIiIio9aDWQ1DDK6BQns7Q12cwuwhQkREVFx0fSWlDVg0OOJx49LPS+E6b+jmjlgMK6On8VhYoiIiEqAf+xZWH+9Kd8y1ps3IuDGWRPViMgwtvgkMhO945YYwBYklsHYp9rC6vJCm4iotPi3Rghq/3kAigJakIjevaE4cMDgfLYwMQ9jYjPjMhFR6ST3ljTgNbhEH4UyPg5qL29kNG8FvDEZ9tFR8rTkoGaI8a3LpKeZ8ZqZiOjZpFAALiePGVWWPRdajrIcl5n4JDITveOWGMAWJERERCXjGirAtddAeOyNhEKhACIjdcqIvn3xcOwE2K38HDZRUTrz2cKEiIio+CkUwEOlPU76hQB+IbBWSg8Qa66NFX7NdKYRERFR8bNWAsq4m0aVtYm/AWslkG3kiDJEJYGJTyIzcEM6Am6cQ/kblyF69YJi2zaDZdmChIiIqGT95VIL/j08USM4BKru3YErV4DERKByZeQ0DsE/VRrjOsrDVU+rE7YwISIiKl6a6+Vy0UehjLsJtbcPUoKaIca3DhLzPDosBG+qEhERmUJhei5UOtijnDoDibxGJjNi4pPIxALT41B96WyoNv/XJ3qfPkD37sCOHTplswcMYgsSIiIiE7iO8rju0xpKP8C+DQABZORK44BqJMEeSb4hUOhpdUJERERFF5geh2pLw2GzeaPWdAcArv0H4sqEcFxz8DZP5YiIiMqowvRcqFSr4R97Fom+ISVeLyJDmPgkMiE3pKPGktm6A0H7+QGTJwOZmcCjR4CdHWBrC6hszVNRIiKiMkapBOytgVwB5OQCUALWCiBbIc3Pm+hkCxMiIqLi54Z0vUlPDZvNG1FNoUDy9CV8OJiIiMjErvvWQaXevaHcutVwobAw4MABuFSoxHE+yayY+CQyoeqxf2snPZs0AVJTgZgYoHVrqVlJWhpgYwMoFFDt+R3VbtzghR0REVEJCcR9VLvyF1TRJ4D4OMDTU3ogKT4ecHODcHOHuHQJuXcSkOPtq7erPSIiIio6/9izBpOeGjabNiBgwGtIYisSIiIik0q2ckBuy9ZQZmQAkZG6BcLCAEdHICoKyiYtOM4nmRUTn2SRIs9mFFgmrG7pSgQqFIDLiUPaE1u1Am7ckP6/aJHuQl26wCY7EwE3zvLCjoiIzOZZjMsA0Dj5IjyWzIdC3xOrPXsC9etDMW4cAMAKgA3Y1R4REZmfMXEZKF2xWaEAXE4eM6qsS/RRtiIhIiKL8SzGZX1y1EB2agZUCQlSz4Xp6cD9+0CFCoCDA3DgABAVBQBQe3kjR13AColKEBOfRCaisgKUsdfzTFBJgeHCBWDXLu3pzs7Aw4fS9LAwVIi9zAs7IiKiYhSI+/D4+AMovv9ef4Ht24GsLCAkRL5402BXe0RERMXLWgko424aVVYZHweVEhDgeNtERESmIo/z+e406RpZpQKcnKTeDLOztcomBzVjfCazYuKTyFQEoHBzf/ze2Vlq/q9JejZpInV3m5YGJCUBrq7S/AMHoMrNYvcARERExSjwn+OGk54akZHSk6xPJD4BdrVHRERUnHLUgNrbp+CCTZrAOqghQrd/AuWtm1B7+7AbeiIiIhOJ8a0D1/4Dpa7ps7OlFp9PyBwwGDG+dc1QO6LHmPgkMpEcAYhqVaHQTHj0CLh9W/p/nz7S0zEGurtVWFkh14inZMpK1wpERERFoVQCttEnjCucni49yfrEE6xAwV3tMS4TEREZR25Fkl+h/66brUcM07qZZWw39IzLRERERZMIB1yZEI5qCgVsNm3QmZ85YDCujp9lVM9IjMtUkpj4JDIRKwUgHByBLl2kVp52dkBCgtTSMzVVu7vbvHbtgsLeHu6teyOB3ekREREVmZ01gPh44wrfvy9136PnSVZlfBx7ZCAiIiomWq1InlTAdTO7oSciIjKNaw7eSJ6+BAEDXoNL9FEo4+Og9vJGclAzxPjWZRwmi6A0dwUAYPny5QgMDISdnR0aN26MgwcP5ls+MzMTM2fOhL+/P2xtbVG1alWsWbPGRLUlejqaAaAREgKEhUljeLq4AK1aGU56/kfx/ffwjTlropoSERE92x7lAPDyMq5whQrSjVY91F7eyFEXX72IiIjKMk0rkqwBg3RnGnHdbLNpAwJu8LqZiIiopCXBHtG+IdjX400ceGMB9vV4E9G+IUx6ksUwe4vPLVu2YOLEiVi+fDlCQ0OxYsUKdO7cGefPn4efn5/eZfr06YM7d+5g9erVqFatGhISEpCTk2PimhMVjhDAA7/q8NzzG1ClCjB+PFCtGnD1qlHLlyugOz0iIiIyjloNZDUOgZ0xhR0c9HZzCwDJQc0Yl4mIiIqR3lYklX1gk51h1A2sgrqhJyIiouIjBHtAIstUrInP7OxsxMfHG0xY6vO///0PI0aMwGuvvQYAWLJkCX799Vd8/vnnWLBggU75X375Bfv378e///4LV1dXAEBAQECx1J+opMX41oGrtQ1sjh4FWrcG7O2l7m6NwO70iMiSPc3fAETm9G+NENR++WUovv/ecKGwMODAAb2zMgcMRoxv3RKqHRFR0TAuU2mWBHsk+YZA4RcCayWgUACtPplm1A0sXjcTkSViXCYiMi2ju7rduHEjatSoAXt7e4SEhOCnn37SKRMdHY3AwECjN56VlYW//voLHTp00JreoUMHHD58WO8yP/74I4KDgxEREYHKlSujRo0amDJlCjIyDA+Gm5mZiZSUFK0XkTlouu7JrlETWLwYuHABcHQ0all2p0dE5lISfwMwNpO5XUMF3HlrJsQrr+gv0KsXEBwMREXpzMocMBhXx89iNz5EZBaMy1RWaFqRZOcCam8fo5bhdTMRmRrjMhGR5TEq8bl3714MHjwYDg4O6N+/P5KTk9G9e3dMmzatSBu/d+8ecnNz4eHhoTXdw8MDt2/f1rvMv//+i0OHDuHs2bPYvn07lixZgq1bt+KNN94wuJ0FCxbAxcVFfvn6+hap3kRF5usHTJ0q/d/IxGcKu9MjIjMoqb8BGJvJEvzlUgvnZi1F5vYfId6bBTFyJMS770KsXAnRsCGEuzvUX3+N3DlzkfXGeKTPW4j4XfsRPf1jXHPwNnf1iagMYlymskgI6XrYGOyGnohMiXGZiMgyGdXV7fz58xEWFoYdO3ZAqVQiNzcXs2fPxvz58/Hw4UMsX768SJVQKBRa74UQOtM01Go1FAoFNm3aBBcXFwBSd7m9e/fGZ599Bnt73SfvZ8yYgUmTJsnvU1JSGDDILNyQjmpLw6HavBFwdQXatweuXQO6dAF27TK4nHi5N24E1AXYXQ8RmVhJ/Q3A2EyW4jrK43q1F6Gs8SLsrAC1kG6wQvFfSxM1gHqAtRLIUYM3U4nIrBiXqaxK8q0Gj549odi+3WAZ0asXEn2rm7BWRFTWMS4TEVkmoxKfZ86cwerVq6FUSg1EraysMG/ePAQEBGD06NHIzs7GqlWrCr1xd3d3WFlZ6bTuTEhI0GkFquHl5YXKlSvLSU8AqF27NoQQuHnzJqpX1/0j19bWFra2toWuH1Fx8489C5vNG6U3Dx9Kyc8tW4A+faRxxCIjdRcKC0N2WDfcVbM7PSIyvZL6G4CxmSyNWg08AmBvDeQKAAKwsQJsrIHsHCBbMPlJRObHuExlVYXYy1CoVPleNyusreF24zKu+4aYvoJEVCYxLhMRWSajEp/p6elw1NMd52uvvQYrKyuMHDkSubm5GDlyZKE2bmNjg8aNG2P37t3o2bOnPH337t3o3r273mVCQ0Px3XffITU1FU5OTgCAS5cuQalUwsfHuDEfiMxBoQBcTh57PCE7+3E3t99+C4SEAJMnA+npwP37QIUKgIMDcOAAEj0DeJOViMyipP4GILIkgbiPalf+gir6BKBUAPXrS7H40iXg3j2gcmWIOnUgbO2QfeceHvhVR4xvHSTCwdxVJ6IyhnGZyiL5WrqA62ZERcGlfmMo/EJ4/UxEJsG4TERkmYxKfAYEBOD06dNo27atzrxhw4YBAEaOHIkzZ84UugKTJk3CoEGDEBwcjObNm2PlypWIjY3F6NGjAUhN+2/duoX169cDAPr374/3338fw4YNw5w5c3Dv3j28/fbbGD58uN5ubomMFXk2o0TXb60ElHE3tSceOPC4m9uoKOmlUgFOTkBqKpCdjcwBgxHjW7dE60ZEZEhJ/g1AlJ+SjssajZMvwmPJfCi2bpV6YKhXD1i9WqcLegUA9O4Nq06d4LnuM7ha2+DKhHCO9UlEJsW4TOZiqrisj9a1tIHrZg1lfByslUA2h4khIhNgXCZzMWdcJioNlMYUat26NTZv3mxw/rBhw/Dll1/i5MmTha5A3759sWTJEsydOxcNGzbEgQMHsGvXLvj7+wMA4uPjERsbK5d3cnLC7t278eDBAwQHB2PAgAHo1q0bli1bVuhtE5lSjhpQez/RKvn4celiLSzs8bTsbOnJ1f+SnlfHz0ISmNQnIvMoyb8BiMwtEPfh8fEHUtKzSRPA2xs4csTwuNtbtwI//ww0agSby/+g2rI5cAUvOInIdBiXqSzSey2d57o5L7WXN3LUJqwcEZVpjMtERJbJqBafmtaU9+7dg7u7u94yQ4cOhaOjI3YZulGUj7Fjx2Ls2LF6561bt05nWq1atbB79+5Cb4fInIQAUoKa6XaKp6e7npzaz+FuSBvE+NZl0pOIzKqk/wYgMqfAf45D8f330ptWraR/CzqPv/8eePFFoHVr2CxejIABryGJY4kRkYkwLlNZZPBaWo/koGbs5paITIZxmYjIMhmV+AwKCkJQUFCB5V555RW88sorRa4U0bMqxrcOXPsPhM3mjdoz8nTXkznsNZx8+Q0kCiY8icj8+DcAPauUSsA2+oT0RqUCsrKAnBzjFo6JkcqqVHCJPsqxxIjIZBiXqawyeC2dB4eJISJTY1wmIrJMRnV1S0TFIxEOuDIhHFkDBumdn9nnVVwdMZlJTyIiohJmZw0gPl564+wMPHoEJCUZt3BCgtT8xMlJHkuMiIiISk6B19IcJoaIiMhkFApAZSX9S2SJjGrxSUTF55qDN5KnL0HAgNfgEn0Uyvg4qL28kRzUjF3bEhERmcijHABeXtKb/7N373FR1fkfx99nmOEyogioCApieU3bTMXQ1OymG1SmFltqlmX3/WVptbptpVubZVpau1a73TbTykrtgl1322zLC6ldLK10JS+gJiCgKAzM/P44chkZcBCGYeD1fDx44HzP9xy/M9v6mXM+3+/nW1gohYZKVi+/GnfoYCZKDx1iLzEAABoJ99IAAPhXtIqUuOt7tdm4Vpas3XLGdVZB/2RlxvdRjldF6YHGQeIT8INchSk3PklGQpKsFqnUqYoSeYaham0AAKBhOZ1SyYAkhUqSwyGFhJg/3khMlLZtkxwO9hIDAKARlN8n5zlrvpcGAAC+07UoS90WzqpWdt4uKWr8RG2bOks77HH+GRxwHBKfgB+5XJKjzPwzM2YAAGhc/+uRpN7jxsl46y1p9WppyBApJUVatarmk8aNkw4elFavZi8xAAB8rNb75DLukwEAaAzRKvKY9CwXvPQVdTMM5c9YQAUGNAkkPoEmgBkzAAA0vh2KVNSd9yrGYpHxxhvmSs7Bg81lJenp1U+44gpp1Cjpo49U3KM3e4kBAOBD3CcDANA0dNm5ucakZ7ngJYuVOGGKcuOTGmlUQM1IfAJ+xowZAAD8Z0NEL3W5f6G6j79awRu/kkpLpeuuky67TPr5ZyknR4qLk6tvX7lCQuTYe0B5197GXmIAAPgQ98kAADQNhiFFbFrnVd+IjWtlJCRRhh5+V6fE56+//qpnn31Wq1evVlZWliQpLi5O5557rm688UZFR0f7ZJBAc1ZtxozNJrVuLRUWmnuOiRkzAPyP7wBozn5RW/3S7QJZelyg0CDJeewmzTpMkmGWpXe4pCBDKu3GXmIA/I+4jOaOlSUAAglxGc2Z1SJZsnZ71deSnSWrpXJrN8BfvE58/utf/9K4ceNUUFCgoKAgtWvXTi6XSz/++KM++eQTzZs3TytWrNDw4cN9OV6gWXGbMTNokDR8uHT4sJSbK0VFSa1amXuOrV/PjBkAfsN3ADRnhmHeyJW5JJtFshiSU2by80iZFGqVZEgup+Rw+nu0AEBcRvPHyhIAgYS4jOau1Ck54zp71dcZG6dS7pvRBHiV+Pz111/1u9/9ThEREXruueeUkpIiu93cRL6oqEjvvfee7rrrLl1++eXasmULs1gAL1XMmElLkw4dkubNq94pJUVKS2PGDAC/4DsAmqtoFSlx1/dqu3GNgl0OGd27m09aDx40JyHZbFJ2tvTrr1L79nKdcqoKu/bQlg69lSO7v4cPoIUiLqMlqHFliYfqSNwnA/An4jJaApdLKuif7NVdcH7/ZCYjoUnwKvH5/PPPq6ysTF988YU6d3bP7tvtdqWlpSk5OVlnnHGGnn/+ed1zzz0+GSzQ3JQ6Jf3mDOmd5dKqVZ47rVolpaZK553e6DNm0jcfady/sJnw9nNL7cteNGj6+A6A5qhrUVblvmFpaVLv3tKWLVJGhhQebk5GOi4uG5IiUlKUNGy4fjzvcu2wxzX6uInLJ4e4jOaEuIyWoNrKklqqI/lzZQlx+eR589kRlxEIiMtoKTLj+yhq/MRay9AXT5ikzPi+jTgqd8Tlk9cc75m9Snx+9NFHuu6666r9A15VQkKCJk+erA8++IB/xAEvuVyS2rerOelZLj1drutuaLAZMwQCAN7iOwCam2gVVSY9Bw2SYmLMh6jbt0sHDpidapmMFGQY6lFQoPzx05WrhvnST1wG4C3iMloCt5UlJ6iOVJo0qMFXlhCXAXiLuIyWIkd2bZs6S90MQ8FLFlc7XjJxkv53+/0Ndo9cFXEZJ8PiTactW7Zo6NChJ+w3bNgwbdmypd6DAloCi0VqFSxp61av+htbtsowfDsmADge3wHQ3HTZublyluqwYVJwsPmzapX52ovJSNaSYiXu2uz7wQLAcYjLaCky4/vIMfOPHqswVFi1SmEvP68o8UAUgH8Ql9GS7LDHacOMBcpe9ZmKHnpUJbfdrtLZf1bp8y9IvXqry8dvacCuDEWryN9DBbxb8Xnw4EF16NDhhP06dOiggwcP1ndMQLPWVXk65acMBW/IkAryZRR5GQyys9m7BECj4zsAmhPDkCI2rTNf2GxScbH557Iy87W3MbmoSBHfrJeRkMT+JQAaFXEZLUWO7DoyZLhscx6utZ9tyStKnHCDcuOTGmlkAFCJuIyWJldhyo1PUtd2ndT9H3NlfejBin23gyXZJUWPn6Cfp872y/YwQDmvEp/FxcWy2WwnvpjVqpKSknoPCmiuBuRvVcz8B2WsWGE22GzSlClenevPvUsAtFx8B0BzYrVIlqzd5ovWraUjx1aIHDpkvs7N9e5CeXkKCs9lQhKARkdcRkthGJL1m2+86huxcS2TkQD4BXEZLVG0itTjiQdkfXWJx+O2pUvUQ4byZy70SelbwBteJT4l6ccff5TVWnv3rV6W7ARaoq7Kc096SuaMmFatvDo/v38yN3IA/ILvAGguSp2SM+7Y/juFhVLYsZuw4GDzdVSUdxeKjFRZVBQTkgD4BXEZLYHbZKUTsGRnMRkJgN8Ql9HSdN/5bY1Jz3LWpa+ox8TrtDY+uZFGBbjzOvF57bXXnrCPy+WSwSaEgEddf1zvnvQst3q1lJJS655ixRMmKTO+rw9HBwA14zsAmguXSyronyy7ZE4+Cg2tPFiHyUiy25V/xiAmJAHwC+IyWgK3yUonQHUkAP5EXEZLYhhSxFf/9apvRMZ/ZSSwkAf+4VXi88UXX/T1OIBmzWKRQjZ+5fng+vVSWpqUmiqlp1c7XDxhkrbffj+lAQD4Bd8B0NxkxvdR1PiJCl76ijn56KyzzAMpKV5NRlJqqkqDQ5mQBMAviMtoKdwmK50A1ZEA+AtxGS2NLUiy7PzFq76WXbtkC5JKSn08KMADrxKf11xzja/HATRroVZJ2Vk1d1i2TEpKkqZPlysoSCVFxSrrGKf8/snKjO9L0hOA3/AdAM1NjuzaNnWWuhmGgpcslhITpd69zTK3X31lrvqsYTKSUlNVNnSYfjrvcmIzAL8gLqMlcZusVAOqIwHwJ+IyWhyXpHbt3NtsNql1a3P7GIejsj06yuwP+IFXic/LLrtMU6ZMUUpKiiwWi6/HBDQ7R0sldT5BmZ6MDCkjQ65Zs/T55FkqKROzVgH4Hd8B0BztsMcpf8YCJU6YosiNaxSsUhndu0unnSbl5UmHD0ujRkl790o5OVJ0tFynnKLCrj31Q4fTSHoC8BviMlqSapOVjkN1JAD+RlxGS+NwSs4evWSRpEGDpOHDzfvn3FxzMnGrVmYlpfXr5ezRUw5K0cNPvEp8fvTRR3r33XcVExOja665RpMnT1aPHj18PTag2XA6Jdfpv/Gu72l9VEwJAABNBN8B0FzlKky58UkyEpJktUhlLslmkayG+WenpDKnFBJkvmZCEoCmgLiMlqbqZKWIjWtlyc6SM5bqSACaBuIyWhqXS8pP7KHoBx4wF/HMm1e9U0qK9MADyk/sxT00/MarxOe+ffv06quv6oUXXtCjjz6quXPnaujQobruuut0xRVXyG73ZtcFwD/SNx/x9xBkGFJp7kEFebFvWFnuQRkGD1cBNA18B0BDawpxuSqXS3KUmX8ulRQSLB0tMZOeknTkWELUFmT2Iz4D8CfiMhpaU4vLnhw/WanUSTwG0DQQl+ELTT027+uQqKjvv5dR0zPuVavkatVK2Zff1LgDA6rwag1+69atdeONN2rt2rX64YcfNH36dP3888+aPHmyYmNjddNNN2ndunW+HisQsKwWyfXtt1J4uLlvmCepqVKrVnL9sEVhNjNZCgD+xncAtAR9tF+/3ZKuUa88qKF/uVWjXnlQv/3pA52Xt0kj172u8/85W+fP+z+NfGueBu9aq2gV+XvIAFoo4jJasvLJSiQ9ATQVxGW0RJE7f5bx5pu19jHeeEPRu35upBEB1dW5+HivXr00d+5c7dq1S2+//bbOP/98vfTSSxoyZIj69Omjxx9/3BfjBAJaqVNyxnWWli2T9u+Xpk+XbrlFuvJK8/f06VJ0tJSQoODwMA1e+AeNWPmUBuzK4OEqgCaD7wBojoblfq0u992hoLQrZMyZI+Oll2TMmaOg119T2Py5sl4/WZZHH5Xl+edlfeB+RaWcp4EPT1XXoix/Dx1AC0dcBgCg6SAuoyUwDClik3fJ/IiNa1nYA7856V2Xg4KCdMkll2j58uXas2ePpk2bpq1bt+ruu+9uyPEBzYLLJR3tn2S+yMiQ5s+XnntO+vBD8/euXdKBA9K8ebI8/BeFLnpK9j/9QR1TzlH/OXfwcBVAk8J3ADQXfbRfrZ+YK2PlSvcDgwZJhw5Jb7/t8Tzrq0vU/clZilLTLkEEoGUgLgMA0HQQl9GcWS2SJWu3V30t2VmynnT2Cagfr/b4rElpaaneeecdvfDCC/roo4/kcrl05plnNtTYgGYlKMRmbu5cXv/c4ZDy8iofrtZQFz146SvqZhjKn7FAuQprxBEDQM34DoDmoPMP66snPSVp2DBzklItbEteUeKEG5Qbn+SbwQFAHRCXAQBoOojLaK4qqhp6wRkbp1KnjwcE1OCkcu7fffed7rzzTsXFxenyyy/XmjVrdNNNN2njxo3asGFDQ48RCHiGIbX676ee9/gcNqzGpGe54CWLlbhrsw9HCADe4TsAmosgixT09abqB2w2qci7MvMRmyjdA8C/iMtobgxDsgWJ+AogIBGX0dy5XFJB/2Sv+ub3T2ZfbviN1ys+8/PztWTJEr344ovauHGjJOncc8/V9ddfr7FjxyokJMRngwQCnS1Isuz8xdzjMynJ3NOzqEgqKJCs3v3fMGLjWhkJSQQMAI2O7wBojloFS8rOrn6gdWspN9erawRlmaV7HGUNOzYAqA1xGc1RtIqUuOt7tdm4Vpas3XLGdVZB/2RlxvdRjuz+Hh4A1Ii4jJYmM76PosZPVPDSV2rsUzxhkjLj+zbiqAB3XmVcxo8fr5UrV+ro0aPq3Lmz7r33Xl133XVKTEz08fCAZsIlqV07888ZGeaPzSbFx5uJUC+U10Xn4SqAxsR3ADRXh0skxcZWP1BYKEVFeXWNsjhK9wBoXMRlNEddi7LUbeGsag9Q7ZKixk/UtqmztMMe55/BAUAtiMtoiXJk17aps9TNMBS87DVz8nBhobmtm8yk5/bb72fLNviVV4nPt956S5deeqmuv/56jRo1SgY1R4A6cTglZ49e7rWlHQ5p1y5p1CivrkFddAD+wHcANFdlTsl5Zn8FHX/A4ZBatfLqGvlnUroHQOMiLqO5iVaRx6RnueClr6ibYSh/xgIeoAJocojLaKkK7G11aMJktenR3axy2K6dnD16KT+xh37q0IuYDb/zKvG5Z88etStfrQagzlwuKT+xh6JTUtz386zLw1XqogPwA74DoDnb1TtJXS67TMbKle4HVq+Wjo/Zx3FMuJrSPQAaHXEZzU2XnZtrLZUnScFLFitxwhTlxntXLQkAGgtxGS1RTZUaLJJaj5+oiKmzlGsn8Qn/spy4i2r8Bzw3N1czZszQxRdfrJtuuknff/99gw4OaE5+7tBTpcOGS6mp7gfKH66Ws9ulU081fx9DXXQA/sJ3ADRn36uDCu+8R64xY9wPrF8vhYdLl13m8bzS8RP18+0PMIsVQKMjLqM5MQwpYtM6r/pGbFwrFlIBaGqIy2hpvKrU8ORsRelII48McOfVis+77rpLy5Yt086dOyvaDh8+rKSkJGVmZsp1bBnaa6+9pvXr16tnz56+GS0QwHJk10/nXa7uBYWy9eolFRVJeXlSZKTUt69c550vI7yVtGOHtHev1LGj1LWrHMXF2p6cysNVAH7BdwA0d59H9VPvPy9QwlXjFbRpY0UMdg5MUnGHWAVfcqksP/0o5eTKGR+v/KSh+in+DOIyAL8gLqM5sVokS9Zur/pasrNktUiOMvd2wzCvU+oUFZIANDriMloaKjUgUHiV+Pzyyy915ZVXurX99a9/1Y4dO3TnnXfqgQce0A8//KBx48bpkUce0YsvvuiTwQKBboc9Tvnjpylx12ZFfL1elvBcOSOjZOlxmkIWPSmtWFHtHOuYMYoaMEw7FOeHEQNo6fgOgJZgi9prS+9UBfVJld0mFTnMPUAlyTjrDNkGSzLMh608VAXgT8RlNCelTskZ19mrvs7YOJU6K19Hq0iJu75Xm41rZcnaLWdcZxX0T1ZmfB/lyF7zhQCgARGX0ZLUpVJD9Ib/ykhI4v4ZfuNV4vN///uf7rjjDre2d999V+3bt9fcuXMVFBSk5ORkTZs2TX/96199MU6g2chVmHLjk2QkJMlqkeLL8tTr/t/L8JD0lCRjxQrFGIa6zP6rflHbxh0sgBaP7wBoKQxDshjSYYcUZEhOw0xyulySw2muJgEAfyMuozlxuaSC/slepSnz+ydXPDytaW8xu6So8RO1beos7bAzcRiA7xGX0ZLUpVKDbfs2tbcc1f6yUB+PCvDMq8TnwYMHFRsbW/G6tLRUGRkZuuyyyxQUFFTRfuaZZyo7O7vhRwk0Qy6XuXIk8cf1NSY9yxnLl+vUCZP0S4+RjTQ6ADDxHQDNXfmKkbYb18i2K1NGdLRcnTrJERSsooRT5AoJUdia/7KaBECTQFxGc5MZ30dR4yfWWjaveMIkZcb3leTl3mKGofwZCyhLD8DniMtoSepSqcEIC1XnXzZrf+eBPh4V4JlXic+YmBi3f5w3btwoh8OhgQPd/8O1WCwKCQlp2BECzZjFIoVs/MqrviEbMmTpNVJO54n7AkBD4TsAmrOaVoxIUlBKikLDw6VDh6TwcGnZMkmsJgHgX8RlNDc5smvb1FnqZhgKXrK42vHiCZO0/fb7K5KY7C0GoCkhLqMlqUulBtntitiwRkb8QMrdwi+8Kto1YMAA/eMf/6jYkHnJkiUyDEPnn3++W7+tW7e6zXIBULtQq6TsLO86Z2crJOjE3QCgIfEdAM3ViVaMaNUq6fBh6ddfzd9JlQ9Pg5e+om5PzlaUjjTSaAHARFxGc7TDHqcNMxYoe9VnKnroUR29baqKHnpU2as+08YZT1RMNKrL3mIRG9fKMHw5agAgLqPl2dWlj1xjx9beKTVVWr1aluwstoyB33i14vMPf/iDzj77bPXs2VPt2rXT2rVrNWzYMPXv39+t37vvvqukJGbUAd46Wiop1svVIrGxKi7z6XAAoBq+A6C58mbFiNLTpenTpfnzzd8ZGRWHWE0CwB+Iy2iODEMqtIRpU0KSlJAkq8Usp3f8ChGrRbLsy5aioqTCQsnhqPGa5Q9bHdxDA/Ah4jJaml9ddjkuHq3g4mLzfvl4qalSq1ZSRoacoy9XKZUL4Sde5dzPOussvf3224qLi1NhYaGmTJmiFcftSbh3717t3r1bo0eP9slAgebI6ZRKBnj3xad4QBJlbgE0Or4DoDmqy4oRFRVJNlvl7ypYTQKgsRGX0ZxEq0gDdmVoxMqnNPyvf9CIlU+p/84MtSkrqpb0jFaRfpOZoeDWraQLL5SmTJHuuksaNMjjtZ2xcTxsBeBzxGW0NC6XlNsxUdq/35wcfMst0pVXmr+nTzfbj20Tk98/mTK38BuvVnxKUmpqqlJTU2s83rFjR33zzTcNMijAG+mbA7e8nMVilrk9Wir9r0eSeo8ZI+O4L0ZVucaO1fYenm/oAMDX+A4AbwRSXLZaJEvWbu865+WZe3xW/X0Mq0kA+ANxGd5qyrG5pn22Pe2lXdue3EpJkdLSKh6yluNhK4DGQlyGt5pyXK6LzPg+iureU8Hz55uTg8PDpUOH3CoxFE+YpMz4vn4cJVo6rxOfAOqvq/J0yk8ZCt6QYe7tGRunkgFJKpw+Q60NQ8by5dXOcY0dq33T/qRf1LbxBwwAQDNU6pSccZ296xwZad7Elf+ugtUkAADU3Yn22Q5e+oq6GYbyZyyQIdeJ9+ROTTX34j5Wkp6HrQAA+E6O7No2dZa6GYaClyx2mxwsmXF4++33K1dhfhohQOITaDQD8rcqZv6D1VZ2hkoKGTNGBTMfUPCESQrZkCFlZ5t7eg5I0vYeg0h6AgDQgFwuqaB/suzedLbbzZmr5b+rYDUJAAB1580+2+V7acvl8n5P7owMHrYCANAIdtjjlD9jgRInTFHExrWyZGfJGRun/P7JyozvSxyG35H4BBpBV+V5THqWM1asUBvD0Pez/6pdvUYqJEgqLhN7egIA4COZ8X0UNX5i7Q9TU1Ol1asrf1fBahIAAOquLvtsR2xaKxkWr/o6Q0K17/3Vyuzch4etAAA0glyFKTc+SUZCkqwWs7ISE4PRVHj3DdLHFi1apK5duyo0NFQDBgzQ559/7tV5X3zxhaxWq/r16+fbAQL11PXH9bXu4SlJxvLlOvWn9XI6pSMOkp4AAPhSeXmekglXe+6Qmiq1aiV16GD+PlY+T6J0DwAAJ6su+2wHZWXJknvAq74l+Yf0XZeBxGYAABqZyyU5ykh6omnx+4rP119/XXfccYcWLVqks88+W88++6wuuugi/fDDD0pISKjxvPz8fE2aNEnnn3++9u3b14gj9l5z2bAY9WOxSCEbv6p+wGaTWreWCgsrSueFbMiQpddIuVxipgwANDDiMo5XtTxP5MY1su3ZKSMyUq5OneQICtbhhFOkkFCFrflclvaxlO4BgAZEXG6Z6rLPdllcnPcrPtl3GwDqhbgMoDnxe+Lz8ccf1/XXX68pU6ZIkhYsWKAPP/xQTz/9tObMmVPjeTfddJPGjx+voKAgrVy5spFGC9RdqFVSdlZlw6BB0vDh0uHDUm6uFBVlriRZvVqyWjVgZ4bCN65V0J7dKuvUWQVnJiszvo9yvNuJDAAA1MHx5XnKXFKQ4T75yLisHxOSAABoAHXZZzv/zGQZknd92XcbAAAAx/g18VlSUqINGzZoxowZbu0jR47Ul19+WeN5L774orZv365XXnlFDz300An/nuLiYhUXF1e8LigoOPlBA3V0tFRSbJz5Ii1NOnRImjevescHHpCxZYs6/Hm222pQu8Oh6PET9PPU2dphj2vUsQOArxCb0RQZqqy4UJ4EtRrmfmQumb9JgAJojojLaEze7LNdvpe2IZfXfQGguSAuA0D9+DXxeeDAAZWVlSkmJsatPSYmRnv37vV4zs8//6wZM2bo888/l9Xq3fDnzJmj2bNn13u8wMlwOqWSAUkKHTTITHquWlW906BB0rffytizR7rrrmqrQW2rV6vHwlnKn7mQ0noAmgViM5qKaBWp+/4fFZH5kyw/bZVx4IAU10muHt2liAgZ+/aZZeltNik7W66cXJXEJ+pg/8FUZADQbBCX0ZjK99nuZhgKXrK42vHj99KuS18AaA6IywBQP34vdStJhmG4vXa5XNXaJKmsrEzjx4/X7Nmz1aNHD6+vP3PmTE2bNq3idUFBgeLj409+wEAd/a9Hknqnpcm46y7PHS69VPr2W6ldO8+rQVNSZC0tUY9d32htfLJvBwsAjYDYjKaga1GWevz7TVk/X11tYpIhSZddJiUlSV98UXHckBQqqaOkqPETtW3qLCoyAAh4xGU0tqr7bEdsXCtLdlaNe2nXpS8ANAfEZTQ1VD9CoPFr4rNdu3YKCgqqtrpz//791VaBSlJhYaG++uorbdq0Sb///e8lSU6nUy6XS1arVR999JHOO++8aueFhIQoJCTEN28C8EKmEakeRUc9/x/OZjP3+KxpNahktqemKiJzq4wE9i4BEPiIzfC3aBWp+8oXZP3m65rjb1aWtH59jceDl76iboah/BkLeOgKIKARl+EPx++zXdvD1DwjTIWJSSrrkuS2F7dhSDYexAJoZojLaCqiVaTEXd+rzca1smTtlrNzggqThigztqcOuKh+hKbLr4nP4OBgDRgwQB9//LHGjBlT0f7xxx9r9OjR1fq3adNG3333nVvbokWL9O9//1tvvvmmunbt6vMxAyfDapFK9+7z/H+4qCjJYqn5oWu59HRZfvtb2YKkklJfjBIAgJajy87NspUU1x5/hw2T5s+v9TrBSxYrccIU5cYnNfAIAQBoGVwuyVHm+Vi1B65xnVXQP1m58d0UtWtbtXbK0AMA0DC6FmWp28JZ5j7bgwZJw4dLu/4n+zdfqX18gg6dc4F+PGWAfnXZmXyEJsfvpW6nTZumq6++WgMHDtTgwYP197//XTt37tTNN98syVzav2fPHr388suyWCzq29d9w/oOHTooNDS0WjvQlJQ6JWdcZ88Hj+0Z5g0jK0sGgQQAgHoxDCnimwypqKjmTjZb7ceriNi4VkZCEjd7AAA0ILcHrlXY09IU43DIWLHCvV2UoQcAoCFEq6gyBqelmZUKq2zPZpHUZt5jGjh2rBwXj1ZubFft7tJH+51h3BejSfB74vN3v/udcnJy9Oc//1nZ2dnq27evVq1apS5dukiSsrOztXPnTj+PEqgfl0sq6J/sed6pwyEdOODdhXJz5aq+/S0AAKgDq0Wy5B2QcnNr7tS6de3Hq7BkZ8lqqXm1CgAAqBu3B65VDRokHTokgzL0AAD4TJedmytXetayPZuxe7eCc39Vx283KSbveTm69VDugKFUYIDf+T3xKUm33nqrbr31Vo/HXnrppVrPnTVrlmbNmtXwgwIaWGZ8H0WNn1j9xi03V/Kwp60nzrhOPFQFAKCeSp2SM7KddKig5k6FhWY5ei84Y+NU6mygwQEAgMoHrsejDD0AAD5lGFLEpnXmi9ribvlK0LvuMs+TFCypo6jAAP+z+HsAQEuRI7u2TZ2lkglXux9wOCS7dzNgDiYNpVwAAAD15HJJBf0GSa1a1dzJ4aj9eBX5/ZOJzwAANBC3B65V1bUMPdWSAACoM6tFsmTtrj3unmAlaPDSV9TtydmK0hEfjhSoGYlPoBHtsMdpw4wFyl71mYoeelRHb5uqooceVU7yCJVdNb7Wc0vHT9RP8Wc00kgBAGjeMuP7yGELllJSau60erU0enSt1ymeMEmZ8ew1DwBAfRmGZAuSbOUPXI93EmXoAQBA3ZQ6JWdc59rj7rBhNSY9ywUvWazEXZt9MELgxJpEqVugJclVmHLjk2QkJMlqMYOJyyV1vePP6m6xyLakejkfx4Sr9fPtD7BHCQAADSRHdv182XXqEfGmrIYhpadX79SpkzRwoFRa6vF48YRJ2n77/cRnAADqIVpFStz1vdpsXCtL1m45O3WWdUB/czXJ+vWVHSlDDwCAz7lcUkH/ZNlrirt1rcCQkESFJDQ6Ep+AH1gsUqhVOlqqin/4d9jjlD9joRIn3KCITWsVlJWlsrg45Z+ZrMz4vjxUBQCgge2wxyk/9Qb1SBquiLHjZPnpRxk5OVJsnFw9ukuRkTKys6XzzpN++1spO1uuvDyVdOqivP6Dic8AANRT16IsdVs4y/N+nikp5v5hy5aZrylDDwBAo8iM76OoK36nYE9x9yQqMDjKGniAwAmQ+AQaUVfl6ZSfMhS8IUPKzpJi41QyIEn/65GkHYqscTUoAADwjVyFaW2HfjJi+sk2WJJhxt8gQypzSdZTzNJ7LlW2E58BAKi/aBXVnPSUzBJ6qalSUpKUkWG2rV5tJkRrKa9HGXoAAOonR3ZtmzpL3d9+Ubbj425dKjDEUYEB/kHiE2gkA/K3Kmb+gzJWrHBrD5XUe8wYRU2/TxsiekkyH6YyEwYAgMblklRaHn+NyjZHmRmbDaOyHQAA1E+XnZtrTnqWS0+Xpk+vTHyuXy+lpck1dqyM5curdacMPQAADWOHPU75V01Tn3O+VetWrWS88YZ5oA4VGAqpwAA/IfEJNIKuyvOY9CxnrFihGMNQl9l/1S9q27iDAwCgBau6r5g1a5csMR1knHKqZEjGDz/IlZOjsvgucvbuLf16QPr2GznjOqugf7Iy4/soR3Z/vwUAAAKOYUgRm9Z51be0TYRKHn5Mlj275YyNU37/ZOXEd1f0lKmK2LhWluysinbK0AMA0HByFabdbePV44orZE1OlrKzpbw8qW1badw46a23ajzXecUV2hHf15xNDDQyEp9AI+j64/oak57ljOXLdeqESfqlx0jztSHK3QIA4EMn3FcsPFxatkxBx7ctekp2SVHjJ2rb1FnaYY9rxFEDABD4rBbJkrXbq76l+3P09R1z5JR0qEQqO1Yy7xe2iQEAwKeiVaTuK1+QNbKtdM89ks0mzZ0rPfKIdN55Zkn69PTqJ6am6tCUW5XjYjIS/IPEJ+BjFosUsvErr/qGbMhQu55D1WWnufLEkrWbVSUAAPjASe0rdlxb8NJX1M0wlD9jAatLAACog1Kn5IzrfOKOgwYp5Iw+GvyPWdKBA1KnTirtP1A/dxuoHYpkmxgAAHyoy87NspWVSjt2SIMGScOHS7/8Io0aZZa77dtXGjFC+t//zJWgkZGS3a6S4DB9H/cbfw8fLRiJT8DHQq2SsrO86xwZqf4P3yHbG69LrVubm0U7HKwqAQCggZ3UvmIe2oKXLFbihCnKjU/y4WgBAGheXC6poH9y7VN709KkQ4dk3HijW7NNUu/LL1fUHX/UhohevhwmAAAtlmFIEd9kSKGhUkSEmfCcN696x5QU8/iHH0qHDqnkd1dp2/+x3zb8i8Qn4GNHSyXFepGsHDRIxr69ssV1lKZMkXJzpagoc/bM6tWsKgEAoIHUZV8xFRWZ5XwcjhrbIjaulZGQRIk9AADqIDO+j6LGT/Q8EWnQIOnQIbPaggfGm28qRlKXB57UL2rr03ECANASWS1SUKhVOippw4YaY7JWrZLGjpWmT1dZbJw2njWaErfwOxKfgI85nVLJgCSFnqjjNdfISE/3HERSUqS0NFaVAADQAOqyr5jy8sx9PfPyamyzZGfJaqHUHgAAdZEju7ZNnaVuhqHgJYvdDw4bJs2fX+v5xptv6tSrJuqXHiN9OEoAAFqmUqcUFBkpBduk5ctr77x8udSrlxyR0SQ90SRY/D0AoCX4X48kucaMqbnDkCFy/fvflUlPm81c7Wmzma9XrZIOH5aSksxVJYbvxwwAQHPl9b5ikrlHyaFDtbY5Y+NU6mzAAQIA0ELssMdpw4wFyl71mYoeelRHb5sq15/+VHkvfAIhGzJk4ckWAAC+sXu3tGePd33LyhS8+RsN2JWhaBX5dlzACbDiE2gEOxSpqOn3KcYwZHiYIeP63e9kTJ1auUn04cPVSt2W7ynGqhIAAOrHq33Fytnt7mVuPbTl90+mzC0AACcpV2HKjU+SkZCk1iHS2X/9o4y92ZUdbDapdWupsLBaTDb27VVIkHSECUgAADQoq0VyFhRIVWNybfbtkyU6Wh3//a6ibR/q58uu0w67F9u/AT5A4hNoJBsieqnL7L+q24RJCt6QIWVnS7GxKh44SEFbflBwWpq5eqSmTaLT0qSiIjnjT2FVCQAA9VTrvmLlUlPNyUe1tBVPmKTM+L4+GiUAAC2HyyWFFBfJiIqUSoprnxi8fr15UocOOi1zgzI79VaOd1OaAACAF0qdUmlkewUfPnTizpIUFiY9+aTkcMiWkqIeEW8qP/UG5YrSt2h8FAQBGkm0itRu189ybvlRJUVHdXTAIO0f/lt932uoXJKZ9Ky6v2fVcrflpW7btFFB0hBWlQAAUE/l+4qVTLjac4fUVPPhakZGjW3FEyZp++33cyMHAEAD6FqUpX4P3yGjTRupb1+pXTtzYvDTT0uvv27+njfPbE9LkyQZCQnq+Nth6j/nDnUtyvLzOwAAoPlwuaSCfoPMikfeqFoZadUqWT//XD32/+i7AQK1YMUn0Ai6FmWp28JZ1VaV2CVFXX2Ngs4ZXpn0rGVWq7NrV2XG9pJIfAIAUG877HHKn7FAiROmKGLjWlmz98jSoZ2MU06RLIaM73+Q65ZbVdYpXmW9e8v49YD03XdyPvSo8vsnKzO+L0lPAAAaQLSKzHvmbT9Jp/eRPv/cfWJwVatWmZORpk+XvvxSkhS89BV1Mwzlz1hAbAYAoIFkxvdRtO1D2UaPlt5+u+aOnqolpacrYuw4GTH9WMSDRkfiE/Cxihu4GkrpBb+2VK6EePPFicrdWq3cxAEA0ICq7itmtaiinLzVIpX1G6Mgw2xzuSSjp2QdXvkaAAA0jC47N5v3zNOnSwcOSMuX135Cero0dqw0f35FU/CSxUqcMEW58Uk+Hi0AAC3HkSHnKCi+syzBwdIbb1Tv4Kla0jGWn36UbbBUUtYIAwWqIPEJ+FjFDVxNWreW8UumudLz+HK3Va1aJSMsTO2HjNH+MpKfAAA0JJdLclS5GXOUSYYhyai5DwAAqD/DkCI2rTO3eSkulsq8DLYbNpjnlJfVkxSxca2MhCQmKAEAUE/VKhgmJUkPPSQVFcmVnS0jNNQsb7t6tcekpyQpJ9ftnhpoLCQ+AR+quIGrTWGh1Lq1NGyY22xVj9d76y3FX3+79jODFQAAn4lWkRJ3fa82G9fKkrVbzrjOKuifrMz4PsqRl/ubAAAAr1gtkiVrt3lffOSIOSHYGwcPSuHhUl5eRZMlO0tWCxOVAACoD48VDDMyzB+7XcYf/mAmQatMPvLEGR9PTIZfkPgEfKjiBq42DofUpo1UUODVNdswgxUAAJ+pdV/u8RO1beos7bDH+WdwAAA0Q6VOyRnX2ZwUHBYmBQd7d2LbttWSpM7YuIqy9QAA4OTUWsGwqEiyWk+Y9JSk/KShPMOGX1j8PQCgOau4gTuRDRvkKiry6prlM1gBAEDDOuG+3EtfUbcnZytKRxp5ZAAANF8ul1TQP9l8gBoaau4T5o1u3ao9dM3vn8wDVgAA6sGrCoZvvy2NGVNrl9LxE/VT/BkNODLAe6RPAB+quIE7kc8+k/OUU93bbDYpKsr8XQUzWAEA8I0T7sstKXjJYiXu2txIIwIAoGXIjO+jkvETzX3CioullJTaTxg9Wtqxw9xv7JjiCZOUGd/XxyMFAKB586qC4fr1ks0m1xVXeDzsmHC1fpo6S7kK88EIgROj1C3gY5nxfRQ1fmKtD1KL067S4aShipKkQYOk4cOlw4el3Fwz+dmqlXkDuH49M1gBAPABr2a1HhNB2XkAABpUjuzaNnWWuj05W8H79pkJTcOQ0tOrdx471iyx99RT0vTpUkaGiidM0vbb7+cBKwAA9eR1BcNly1T8zHM6OPn3arNprYKyslQWF6f8M5OVGd+XmAy/IvEJ+FjFDZxhKHjJ4mrHy2/QCuxtNXDOI7J+vlqaN6/6hVJSVPrIo8xgBQDAB7ya1XpMedl5R5mPBwUAQAuywx6n/BkL1HXXZnX46WtZrrhCuvRSaft26cABqUMHKTzcLK+XkSFJcoaEat/7q5XZuQ8PWAEAaADlFQztXvTNS+iujfFJMhKSZLWYSVMmCKMpIPEJNIId9ji5ZjyibmPHKnhDhpSdLXXsKFff03U04RQV2NuaHb/9Tlq1yvNFVq2S2kZJqY02bAAAWgyvZ7WKsvMAAPhKrsJUmJik4e+vUOgr/zTL3oaHmwfz8qrt6VmSf0jfdRnIZCQAABqQVxUMq5SYd7mYGIymhcQn0Ai6FmWpx4IHZH11iblnZ3i4dOiQDIdDESkpGjhsuIr69jOP18K69BUlTrxBufFJtfYDAAB1U5dZrZSdBwDAd0qdkjMm1kx0SlJRUY19mYwEAEDDO1EFw5KJk/Q/SsyjCSPxCfhYtIrUfeEDlUlNh6PyBk6SVq2S1WZTeEG+V9djXzEAAHyjrrNaAQBAw2MyEgAA/ldegj5xwhRFblyj4D07ZcTGytW9m6zbt6v7+0sVkzRUP8X/RjleRW2g8Vj8PQCgueuyc7NsS2tfyanPP5dl716vrle+rxgAAGhY5bNaSyZc7fF4+b7czGoFAMC3MuP7qGT8xFr7MBkJAADfylWY8qI7ydrjFFmSz5Jx+JAsH3wgS2GhrB1jFPXuG0p69E51Lcry91ABN6z4BHzIMKSIr9eduGNhodShg1fXpJQPAAC+U3VWa8TGtbJkZ8kZG6f8/snKjO9L0hMAgEZwohJ7TEYCAMD3olWknpkbFPTqq9LKldU7XHaZgi6/XL3WvCfX+VcoU5GNPkbAExKfgA9ZLVLQnt0n7uhwSB07urfZbFLr1mZS1OGoaKaUDwAAvpWrMOXGJ8lISJLVYu41RuwFAKBxMRkJAAD/6p23reakp1TRbmndWr3XrpVx50PaYY9rtPEBNSHxCfhQqVMq69TZu86HD8t5+eWy7NwpDR8uHT4s5eZKUVFSq1bS6tUq7t6LUj4AADQSl0tylPl7FAAAtDyGYU4kznMyGQkAAH8wDKn1zu01Jz3LrVwpPf20LLfcom5BNuXPWMDkJPgdiU/Ah1wuqeDMZO+2d87LU8lNtylk0ZMy5s2rfq0xY5R3yx0EDgAAAABAsxStIiXu+l5tNq6VJWu3nHGdVdA/WZnxfZRT5tWdNQAAaADBFsn4frN3nTMzJbtdwUsWK3HCFOXGJ/l0bMCJkPgEfCwzvo+ix0+QbemSmjulpsoR30VBLz4nY8UKj12MFSsUZQ9XFLNmAAAAAADNTNeiLHVbOEvBS19xa7dLiho/UdumzqJ8HgAAjcQaJCk727vO+/ZJMTHSjh2K2LhWRkISFRrgVxZ/DwBo7nJk189TZ6ts/ATPHVJTVTpsuI6c2qP25KhkzprZ5eVMGwAAAAAAAkC0ijwmPcsFL31F3Z6crSgdaeSRAQDQMh0plRTnYcKRzWZuzWazVbbFxJhbtkmyZGfJStYJfsaKT6CROBO6KOihh6RDh8xZMNHRUteuKgsP1+4+yerwwUqvrsOsGQAAAABAc9Jl5+Yak57lKJ8HAEDjcTolx4AkBZc3DBokDR8uHT5sJjmjoqRWraTVq6XTTpPGjzdfd+ulUqc/Rw6Q+AR8rnzmqq38Js5mkyIjzT/n5SnI4VDcTbdIQUFeXa981oyjzEcDBgAAAACgkRiGFLFpnVd9mQgMAEDj2d5zkHpddpmM4GBzMc+8edU7XXaZWRL36aclSbYrr1LimSMoTw+/YtEx4GPVZq46HNL+/eaPwyFJCn7hOQXFdPDugrGxzJoBAAAAADQLVotkydrt3uipjJ4onwcAQGPaoUiV3XiTVFIirVrludPKldLnn0tJZkWGoNdepTw9/I4Vn4APeT1z1eGQ0a2bV9d09e7F7FYAAAAAQLNQ6pSccZ3NF7WV0Vu/Xs7YOCYCAwDQSFwuqfRIsawrV9beMT1dmj5dysiQRHl6+B+JT8CHrBbJmrXrxB1tNmnfXiklpebZM5KUmirj1wMyeorkJwAAAAAg4LlcUkH/ZNnT0mouo5eSIqWlKb9/MvfCAAA0EsOQtGWrd52Lisxn3McqHFKeHv5EgRDAh0qdksWbEratW8v4/nspPFxKTTXbji/tk5pqznT97jtK+wAAAAAAmo3c+G5yORw1TwRetUqu0lLlxHdv3IEBANCCWS2SsvZ41zkvz3y2fQzl6eFP/KcH+Frn+BP3KSyU4jpJy5ZJ0dHSM89I06ZJl1xi/n7mGbN92TJK+wAAAAAAmpXInT/LWLGi1j7G8uWK3vVzI40IAACUOmU+s/ZGZKRZueEYnmHDnyh1C/iQ1SK59mafuITtyJFyJSbKSEuTDhyQbr65eh9K+wAAAAAAmhnDkCI2rfOqL2XzAABoPImHs2QLD/Ous91eUeZWEs+w4Ves+AR8qNQpGaWl7iVsj3eshK0zJITSPgAAAACAFsEwJFuQ+WPJ2u3VOZbsrMpzLOZvw/DxQAEAaIGiVaRuC2cpaOkSc0FObVJTpdWrK14WT5ikzPi+Ph4hULMmseJz0aJFeuyxx5Sdna0+ffpowYIFGjZsmMe+y5cv19NPP62vv/5axcXF6tOnj2bNmqVRo0Y18qgBL3WOlx64X0pKkqZPNzd6zsszl//b7WZQyMiQ5dLR3pX2mTJVv8QnNdLgAQAAAABoONEqUuKu79Vm41pZsnbL2TlBtpj2Xp1r7RCtYSv+Ktsv/5MRHS1Xp05yBAXrYEJ3Zcb3UY7sPh49AAAtQ5edmxW89BXzRVqamdxMT6/e8diiHmVkSDKTnttvv1+58nKlKOADfk98vv7667rjjju0aNEinX322Xr22Wd10UUX6YcfflBCQkK1/qtXr9aFF16ohx9+WG3bttWLL76oSy65ROvWrdOZZ57ph3cA1Mxqkcr27pW1vNRtRoZks5krQA8dqlz+P3q09ONWr64ZuXENpX2aifTNR7zql9qXLwoAAPgacRkAfK9rUZa6LZxV+SBVMh+mJnk3uddakC/r/Pvd2oJSUtQxPFxR1mBtmzpLO+xxDTlk+AlxGQD8p1oZ+mXLqi/q6dhR6tlTOnJEWr9epbP/rF+TzlFmfF+Sns2UN7G5qcRlvyc+H3/8cV1//fWaMmWKJGnBggX68MMP9fTTT2vOnDnV+i9YsMDt9cMPP6y3335b7777LolPNDmlTqnMZaksdZuebiY78/IqO6WmStHRMvbu9eqatj07ZbVIjjIfDRoAAAAAgAZWXjLPLek5aJA5KfiNN8wyejVt/SJVK6NXYdUqKTVVwft3qNuTs5U/YwEPXAEAqAerxUMZ+owMz4t6JkyQ1q1TyW8GaBOLddBE+DXxWVJSog0bNmjGjBlu7SNHjtSXX37p1TWcTqcKCwsVFRVVY5/i4mIVFxdXvC4oKDi5AQN15HJJBf2TZf/TH2ovdfvpp9Idd3h1TSMyUmUEEAABjtgMAEDTQVxGY3ArmVdu2DBp/nzzz7WV0bv8cnNTz2Nl9KpJT5emT1fw/PlKnDBFuWwPAyCAEZfhb6VOyRnX2fPB4xf1tGkj7d4ty57dLNZBk+HXxOeBAwdUVlammJgYt/aYmBjt9XL12/z583X48GGlpaXV2GfOnDmaPXt2vcYKnKzM+D6KGj/RvMGrodRt8U23yNqps4K8uJ6rUycFGZLTt8MGAJ8iNgMA0HQQl+Fr1UrmSea9cVFR5WtPZfTKJwxHRkon+m+0qEiy2RSxcS3bwwAIaMRl+FvFYh5vOtvtksMhZ2ycSnlgjSbC4u8BSJJhGG6vXS5XtTZPXn31Vc2aNUuvv/66OnToUGO/mTNnKj8/v+Jn165d9R4z4K0c2bVt6iyVTLjabCifFVOe9JwwSduvny5HULBZ2qc2qalyBAUTRAAEPGIzAABNB3EZvuaxZF7r1lJurntbRoa5AvS556QPPzR/z58vbd5sTiCuTV6eFB4uS3aWrE3iaRcAnBziMpqCo+07yjVmTO2dqpShz++fzKQjNBl+XfHZrl07BQUFVVvduX///mqrQI/3+uuv6/rrr9cbb7yhCy64oNa+ISEhCgkJqfd4gZO1wx6n/BkLlDhhiiI2rVVQVpbK4uKUf2ZyxYbPUQnd1bHqXqDHS02VWrVSXkJ3ggiAgEdsBgCg6SAuw9c8lswrLJRq2rbo+DJ6kZFm1aTadOki3Xij1LU7k4UBBDTiMvwtWkWKe+JBGTZbzc+qx4yRTjlFSk9X8YRJyozv2/gDBWrg18RncHCwBgwYoI8//lhjqswe+PjjjzV69Ogaz3v11Vd13XXX6dVXX1VqampjDBWoN0MuGZJkWOQKC5UMi4xj7dKxkrjWYAXv31FZ2qegQIqNNfcy+fRTFffoTRABAAAAAAQUjyXzHA6pVSvvLnCsjF6tSkul+fNlu/IqJZ45QjvscSc5WgAAWja3fblrKkO/erV0yikqnjRZmVPv06GgMBlOsWAHTYJfE5+SNG3aNF199dUaOHCgBg8erL///e/auXOnbr75Zknm0v49e/bo5ZdflmQmPSdNmqSFCxcqOTm5YrVoWFiYIiIi/PY+gNp0LcpSt4WzKgPGMXZJUeMnatvUWdphj9O2qbPU7cnZCv78c+mcc8yE565dUlSUyiZcreyzRylXYf55EwAAAAAAnKTM+D6KGj/R/b549Wpzy5dVq2o+cfRoqaSk9otXKbUX9Nqr6hZkVf6MBdw/AwBQR9X25c7IMH9sNrPs/KFD5mSkIUPk7N9f1m3b1X3RX9S9XTs5e/RSfmIP/dyhp3K82yEU8Am/Jz5/97vfKScnR3/+85+VnZ2tvn37atWqVerSpYskKTs7Wzt37qzo/+yzz6q0tFS33Xabbrvttor2a665Ri+99FJjDx84oWgVeUx6lgte+oq6GYbyZyzQDnuc7Lffq/gnZivoscfc+gVJihs/UUXHkqQAAAAAAASKHNnNyb6GoeAli83G9eultLTat3wJCZH27TvhtjDKyKhoCl6yWIkTpig3PslH7wYAgObJ477cUmUZ+kGDpGuukf7zH1kmTHDrYpEUnZKiiGHD9dN5l/MMG37j98SnJN1666269dZbPR47Ppn5n//8x/cDAhqQW2mAGpTflBnxfdRp4YMKeu1Vz/2qJEmZuQoAAAAACCQ77HHKn7FAiROmKGLjWlmys+SMjdORwcPU9sqrFPTlF9XL6JUnNJOSpLvukstmk7Fjh+c+VURsXCsjIYmSewAA1IHHfbnLpaVJMTHShx9K77zjuc+qVbIahroXFCp//DSeYcMvmkTiE2iuqpUGqEXExrU6reyIbEuX1NqPmasAAAAAgECVqzDlxifJSEiS1WI+YLVapOFvvaqg555zL6MnmaX1WreWvv5a2r5drrFjZXz4oXsfDyzZWbJaJEdZ47wvAACaA4/7ckvmSs9Dh6SEhJqTnuXS02Xr1UuJuzbzDBt+QeIT8KEaSwN4EGQ1FPrZv9wby2/wCgvdbuiYuQoAAAAACGQuV2VSsmJ1SXkZPcl8wDp8uHT4sJSbK0VFSb17y7BYpOeeO+H1nbFxKnX68A0AANBMedyX+4orpAMHvL9IUZEivl7PM2z4BYlPwIdqLQ1wnKDOnWTZtMF84ekGr1Urs4TP+vXMXAUAAAAANBvVVpekpZmrSubNq9bXGDfOPL5sWa3XzO+fzINWAABOQo7s2n7HLPV0FMvyxhvSVVdJa9ZI//mPNGqUdxfJy5MlPJdn2PALEp+AD7lckqvfGSfuWL5HSVRUrTd4SkmR0tLkjGPmKgAAvmAYqii7V/6w1FMbAABoWBWrS7b9ZN4Tr1rlueNbb0mXXWbu+elhb09JKp4wSZnxfX03WAAAmrld4XE69YILFTxqlPT++9Ly5WZ1wshI7y4QGSlnZBTPsOEXJD4BH4pWkUIP7DMTljXdtEnSuHEy9uyWunWTfvml5r6rVkmpqTo6eBgPXgEAaEDRKlLiru/VZuNaWbJ2yxnXWUcGD5VRXKzQjRkVbQX9k5UZ30c51Xc8AQAA9ZAju7ZNnaWea95T0B131N555Urpscc8Jj6LJ0zS9tvvV67CfDJOAABaglKnZLFapR++NycdSWZJeruX98J2u/L7DeIZNvyCxCfgQ112fa+gdWul8HApNVVKT6/eKTXVXEoSFS0dPVp7glSS0tPlum26bwYMAEAL1LUoS90WznLfvyQtTfYvP6sWl+2SosZP1Laps7TDHte4AwUAoJnLbBWnUw4dVZA3nffske65RyosNPcFjYyU88wztensccpxkvQEAKDesrKkoiL3ttWrpUsvld55p+bzUlNVEhxG9QX4DYlPwEcMQ4rY8rW5R+eyZWYZnunTzWBx7KZMdrsZLNLT5Xr6Wenbr726dtjGDBkJ7FcCAEB9RauoetJz0KBaS+wFL31F3QxD+TMWsJoEAIB6OL6cvNUiKWuPdyfv3St9+KEZs8PDzd8Tr1bR8IkSZfUAAKgXq0VyFhSYz7arWr/e3Kpt7Fiz/O3xUlNVOmy4tp07jvtl+A2JT8BHrBbJknls307JLMGTkWHWQi+/KXM4Kvo7wuyyFBXJ8OLaluwsNoYGAKABdNm52T3pKUnDhknz59d6XvCSxUqcMEW58Uk+HB0AAM2TpxLzBf2T9Ut8Hymuk3cXiYysvK/OyzPbYmNVzH0yAAD1VuqUSiPbK/hQYfWD5Yt8HnrIjMX79snVvr2cPXvqYGJv/dShJ0lP+BWJT8BHSp2SYjpKBw+4H6h6U1bFwZguiurWQ8FeXNsZG8fG0AAA1JNhSBGb1rk32mzVS/nUIGLjWhkJSVRgAACgDjyWmJdZTr7dVRNkuTjFuwt17+42mViS1LOHuhzKohw9AAD15HJJBf0GyR4T5blD1UU+kZHKW/qW1nYcwP0xmgSLvwcANFcul+Tq3cssZZtS+42b68qrtKNzH+UOGOp+wGYzV4zabG7N+f0pcwsAQH1ZLZIla7d7Y+vW1Uv51KC8AgMAAPCOxxLzVVhfXSLLsmXSHXfUfqHUVGnHDnO1SbkxY2T55BN1e3K2onSk4QYNAEALdTS+i1yhodJll9XcyeGQa+hQZcWcyvNqNBk8qgF8xDAk49cDUqdOZmnb1FTPHceMUemYscozwpQZ30cl4yeae4vddZc0ZYp04YXm77vukgYNUvGESWwMDQBAAyh1Ss64zu6NhYWVZepPgAoMAADUjccS88d7+22pf/+a76FTU6VWraSnnpKGDzfbxoyRBg6UFi82y9Hv2tywAwcAoAXqvOsHGXv2SMHBtcZlw2pV9K6fG3dwQC0odQv4iNUiGTm/Sr/5jfTVV9L+/dL06Wb5vLw8cz+SU06RwsLk3LZd1tOlnDK7cm+dppj5D8qYN6/aNV1jxijvljuokQ4AQANwuaSC/smyV210OMyHqV6gAgMAAN7zWGK+Jt9/b1ZgOP4e2m43qyplZJj9goOlv/9d+vxz6d57K06nHD0AAPXT3lKkoD17zAoL5Xt61hKXI84YQOxFk0HiE/CRUqcU1DFGuv46MzAMH24GhoICcxVoUJAZNDIyFPT8Cyp1mmV/ohY9LmPFCo/XNFasUJQ9XFEzFpD8BACgAWTG91HU+Inuq0/Ky9SvWlXjeVRgAACgbjyWmK/Jvn3S1q3SmjXm1i/h4dKhQ+ax1q3NNodD2rtXeu0186FsFeXl6B1lDfwmAABoIbr8ut1c7Vm+FUz5np52u9SxoxmDi4oq+gcRe9GEkPgEfGn3sZu6qps9l9+wORzu/c7yruxP8JLFSpwwRbnxSbX2AwAAJ5Yju7ZNnaVuhqHgJYvNxvXrpbQ0s5RPenq1c4onTNL22+9nEhIAAHXgscR8TWJiKhOdDofUvbs5mfjwYfMBbFSUWaGhSxdp+/ZqiU/K0QMAcPIMQ2r99VfSnj2VW8EMGmTG4qNHpSNHpLAwKTTUnDi8fr3KiL1oQkh8Aj5itcic+VKVw2GWAjiOc/8B2Sweyv7YbOZs1sJCt0QpZXsAAGg4O+xxyp+xQIkTpihi41pZsrPkjI3TkcHDpNumK2xjRkVbfv9kZcb3JekJAEAdeSwxX5OuXSvvgdPSzCSoh+1gNG6cdO655sqTZcsqmilHDwDAybNaJMv2n834euSIGYtjYsyDZWVmXA4ONl+fdZaUmKiCM4m9aDpIfAI+EuEsksXLPcJKYztJRpWyP+UzaI6fzXpsBg1lewAAaFi5ClNufJKMhCRZLeaqlPKbNiMhuVobAACoO48l5o+Xmip9+aVZdv7AAfPhak3l5996y1x5csop5hYzGRmUowcAoJ5KnZIzJlZqEyZ99ZXUp4+0bp3neJySItfgwToQ373xBwrUgMQn4CMJv2yWRd49Hc3vnyxH2bGyP7XNZk1JkdLSKNsDAICPuFzVJxZ5agMAAHXnscR8VWPHSqefLs2ebd4bn3uudPfdtV80PV2aPl0aPlzFPXpTjh4AgHqqqNLw2vPSeeeZVRVqmoS0apUMw1DskPP1S4d+jTpOoCYkPgEfMIxjZWtXrzaTlTUFBknOK67QLwl95XJJRwYPlf3Lz2oNJEpN1ZHBw1hxAgAAAAAIOB5LzMfFKbhje1mfeVratctMZBYXmxWQvFFUpNK4Tto0+Y/KcZH0BACgvjLj+6j9gIEKOnKk1mfbkqT0dEWMHScjph/PrNEkkPgEfMBqOVa2dv16c5Zqaqo5C/V4qakqO3uYCixhUpmko8VeBRLdNt0n4wYAAAAAwNeOLzFvSBr21z/ImpEh2e1SYaEUFiadcUblnmK5uZX7fh4vL0+l4W0r760BAEC95Bp2lZU5FbR9u1f9LT/9KNtgqYQ4jCaAxCfgA6XOY2VrJbMUQFKSOWO1qEjKy5MiI82budWr5Th0RKVOc5Vo2KYMr64ftjFDRgIbRgMAAAAAAld5OXnDkIxhw6RhQ6SCAikz09zfs1076d57pZISMxF65Ih5j71+vfuFIiPljIxiSxgAABqI1SI59+2XcnK86m8cOKDfZH2tHTE9lCO7j0cH1I7EJ+ADFXXQyxsyMswfm00KDzf38Dw2UzV/9jy5XJIt6NgqUS9YsrNktbDfGAAAAAAg8PU/uFXB236U1qzxXAUpJaXyXvqii6TERDMBWs5uV36/QUwOBgCggZQ6JWdEpGRUmVVks0mtW5uVGY6rwmC0b6+Yi85R5BW/07aps7TDHtfIIwYqkfgEfCQzvo+ixk9U8NJXKhsdDnPF5zHFEyYpM76vpONWiZ6AMzaOmawAAAAAgIDXVXmKWf6KjK1ba976ZdUqcwuZX3+VvvpKOuUUs7JSRoY0ZowcnbtU3FsDAID6c7mko/0GyL5pjTRokDR8uHT4sFl6PipKatVKWr26sgpDeLjkcCh46SvqZhjKn7FAuWLfbfgHiU/AR3Jk17aps9TNMBS8ZHG148UTJmn77fdXBIBqq0Rrkd+fMrcAAAAAgMDX9cf1Mgyj5qRnufR0cwuZ+fPN38OHSx06SDabjnTrycNVAAAamCsk2FzhGRcnzZtXvUNKipSWJgUFSW+/XdEcvGSxEidMUW58UiOOFqhE4hPwoR32OOXPWKDECVMUsXGtLNlZcsbGKb9/sjLj+1a7MfO4SvQ4VVeJAgAAAAAQqCwWKeSbTVJRkXcnFBWZZfaKiszVJrm5Unq6rL8ZIKPrMCYIAwDQQAxDCv95i/TZZ9LKlZ47rVolXXaZNGqUuT93FREb18pISCI2wy9IfAI+lqsw5cYnyUhIktVilrSt6R/8uq4SBQAAAAAgUIVaJeXlmglMqfreYeWvjx41fzudUmSkuYVMSYm0daskyZKdJatFcpT5770AANCcWC2SrbRYeuut2juuXCmdeqp0zjnmXt3HEJvhTyQ+gUbicnn3D31dV4kCAAAAABCIjpZKioyS4uPNn/K9w2JjpV69zE6hoVJxsbR9u3TggHTddVL37ma/Q4ckSc7YOJU6/fc+AABobpwuycjK8q5zUZHUtq05YcnhMM8nNsOPSHwCTVBdVokCAAAAABCInE7JOfRsWf7xD+nNN90PpqVJffpI69Z53v8zLU2aNUu6917l90/mnhkAgAZ0avFeaf9+7zrn5UkhIVJ4uPlnidgMvyLxeRLSNx/x9xDQQni7ShQAWjLiMgAATQdxGXXRVXkKeuYZacUK9wODBkkxMTUnPSVp2TKprEylTyxUZnxf3w8WAAIUsRl1Fa0idXlitoz20d6dEBlpJj2d5hLP4gmTiM3wK4u/BwAAAAAAAICWp+uP62Ucn/SUpGHDpODgmpOe5d56S5ZOsWwJAwBAA+qyc7OCF/9T6tTJuxM6dZLat5eiouQaO1bZt/+R2Ay/IvEJAAAAAACARmWxSCEbv6p+wGYz9/QsKvLqOsamTQri6RYAAA3CMKSITevMF+3aSSkptZ+Qmmruze10SldeKWPXLoXk7PP9QIFa8NUQAAAAAAAAjSrUKik7q/qB1q2lI0ek3FzvLrRvn+y2Bh0aAAAtltUiWbJ2S0OGSN9+a5awTU313Dk1VWrVStqyRercWfrsMykjQxEb18owGnfcQFXs8QkATZy3ezGk9qWEBAAAvkZcBoCGcbRUUmxc9QOFhVJYmJkA9UanTgp1FKlQ9gYdHwIDcRkAGlapU3LGdZai20o//WTuqZ2UJE2fblZjyMsz9/S026XVq6WMDOn666VPP5UGD5auuEJBR4pltUiOMn+/GzS2phKXSXwCAAAAAACgUXU5lCX17FH9gMMh9e7tfanboiL1+8sd2jZ1lnbYPSRSAQCA11wuqWDAYNnTl5klbCUzuZmRYZajDw+XDh0y43W51q2lv/2toi34ijTFX5Cl/4URl+EflLoFAAAAAABAo4lWkbotnCXLv/4ljR7tfnDQIOnDD6U33vBuX7HVqxW89BV1e3K2ouTdKgMAAFCz3V36yFVYKPXq5X7A4TBXfFZNekpSz55ubcYby3TqQuIy/IfEJwAAAAAAABpNl52bFbz0Fenll81E52WXVR4cNkx65x1p/fra9xW7/HJzX7GMDElS8JLFSty12feDBwCgmdvvDJOjRy/pwAHvJiHl5JirQasgLsOfKHULAAAAAACARmEYUsSmdZUN994rXX219PTTUlaWVFxceay2fcUiI6XZs92uHbFxrYyEJLlcjfRmAABohlwuKW/QcMX88+nKSUjp6dU7pqaak5B++UU65xzpk0/cDhOX4S8kPgEAAAAAANAorBbJkrXbvXHxYvOnb19p4ED3YzXtK3bllebrvLyKrpbsLFktkqOsEd4IAADN2K64nurQtauMBx+seRLS6tVmjP7jH6V9+6S0NHPS0jHEZfgLiU8AAAAAAAA0ilKn5Izr7Png//5Xc2nb8n3FykVGmknQKpyxcSp1NtBAAQBowVoVHZQSEswXNU1CKteli/TYY9LIkWaS9FgZeuIy/IU9PgEAAAAAANAoXC6poH+y54NFRVLXrt5dyG53f+gqKb9/MuX0AACop2gV6dQXHpexe7f7Hp/lk5Cqxt/UVCk725yQlJ4uDR9ecYi4DH8h8QkAAAAAAIBGkxnfRyXjJ3o++OWX0ujRtV8gNdUsr1dF8YRJyozv20AjBACg5eqyc7OCl78llZZW7vHpSfken1UToUVFks1GXIZfUeoWAAAAAAAAjSZHdm2bOkvdDEPBSxa7H3z5Zem55ySLRVqxovrJ5Q9Zj5XRk8yk5/bb71euwnw8cgAAmjfDkCI2rZMKC81St3/5y4n3+Hz22cry8w6HiidP0fbrpxOX4TckPgEAAAAAANCodtjjlD9jgRInTFHExrWyZu9RUId2Mk4xS90ao0dLY8ZIP/4oHTggdeggnXqqFBQkbdki1y23qKRTF+X1H6zM+L48XAUAoAFYLZIla7cUGmqWsE1JkVatqnmPz/JStyEhUlGRXG3bas+1/6cdrvb+fSNo0Uh8AgAAAAAAoNHlKky58UkyEpJktUilTrPdFiQZLsllSGUDpBCr5CwzX7sklfaXggyzP3uHAQDQcEqdkjOus7nis2qp2/T0yj0+y5VXYSgtrVjxabhciv1xk7b0GOmndwCQ+AQAAAAAAIAfuVySo6zydUmp+/GikurnOH07JAAAWiSXSyronyy7ZJa6feihE5e6/fvfzZOP7cEdEhIqS6+RchKs4ScWfw9AkhYtWqSuXbsqNDRUAwYM0Oeff15r/88++0wDBgxQaGioTjnlFD3zzDONNFIAAAAAAAAAAIDmKTO+jxxTpkh79pilbjMypPnzzT24P/zQ/D1/vtmemmr2S0ur3IM7O1shQf5+F2jJ/J74fP3113XHHXfo3nvv1aZNmzRs2DBddNFF2rlzp8f+O3bsUEpKioYNG6ZNmzbpj3/8o26//Xa99dZbjTxyAAAAAAAAAACA5iNHdh29cqJ05EhlqVupstRt1f09W7Uy++XlScuWme2xsSou83xtoDH4vdTt448/ruuvv15TpkyRJC1YsEAffvihnn76ac2ZM6da/2eeeUYJCQlasGCBJKl379766quvNG/ePI0bN64xhw4AAAAAAAAAANBsGIYUtGmjdOqp0ty5Jy51+8wz0ksvVZxfPCCJMrfwK78mPktKSrRhwwbNmDHDrX3kyJH68ssvPZ6zZs0ajRzpvjHuqFGj9Pzzz8vhcMhms1U7p7i4WMXFxRWv8/PzJUkFBQUnNe6iQ0dO6jwA8KWCAsdJnGP+O+hyuRp6OECtGjI2E5cBNEUnE5fN84jNaHzEZQDNHXEZgYRn2fA3a5B0aMsPKk0aIF14ofTxx2aC02o1V4AeOiSVHtuQe+RIKShIys2VJLkuuURb4nqr6NDJ/feKlsHXcdmvic8DBw6orKxMMTExbu0xMTHau3evx3P27t3rsX9paakOHDig2NjYaufMmTNHs2fPrtYeHx9fj9EDQPNRWFioiIgIfw8DLQixGQBqR2xGYyIuA0DtiMtoTMRlNBnPHve6tFQ6eNC97aOPzJ9y775r/gA+dKK4bLj8OGUpKytLnTp10pdffqnBgwdXtP/lL3/R4sWLtXXr1mrn9OjRQ5MnT9bMmTMr2r744gsNHTpU2dnZ6tixY7Vzjp8l43Q6lZubq+joaBUWFio+Pl67du1SmzZtGvgdtgwFBQV8hvXEZ1h/fIYnx+VyqbCwUHFxcbJY/L7tM1qQmmKzzWZTQkIC/1+uB/49rD8+w/rjMzx5xGb4A3HZd/j3sP74DBsGn+PJIS7DH4jLvsO/hfXHZ9gw+BxPjrdx2a8rPtu1a6egoKBqqzv3799fbVVnuY4dO3rsb7VaFR0d7fGckJAQhYSEuLW1bdtWkmQYhiSpTZs2/AdWT3yG9cdnWH98hnXHrFX4Q02xubxkBf9frj8+w/rjM6w/PsOTQ2xGYyMu+x6fYf3xGTYMPse6Iy6jsRGXfY/PsP74DBsGn2PdeROX/TpVKTg4WAMGDNDHH3/s1v7xxx9ryJAhHs8ZPHhwtf4fffSRBg4c6HF/TwAAAAAAAAAAAADNn99rNEybNk3PPfecXnjhBW3ZskV33nmndu7cqZtvvlmSNHPmTE2aNKmi/80336xffvlF06ZN05YtW/TCCy/o+eef11133eWvtwAAAAAAAAAAAADAz/xa6laSfve73yknJ0d//vOflZ2drb59+2rVqlXq0qWLJCk7O1s7d+6s6N+1a1etWrVKd955p/72t78pLi5OTz75pMaNG3dSf39ISIgeeOCBauUD4D0+w/rjM6w/PkOgeeD/y/XHZ1h/fIb1x2cINA/8f7n++Azrj8+wYfA5AoGP/x/XH59h/fEZNgw+R98yXC6Xy9+DAAAAAAAAAAAAAID68HupWwAAAAAAAAAAAACoLxKfAAAAAAAAAAAAAAIeiU8AAAAAAAAAAAAAAY/EJwAAAAAAAAAAAICAR+ITOIF169ZpzJgxSkhIUEhIiGJiYjR48GBNnz5dkvTrr78qODhYV155ZY3XKCgokN1u16WXXipJeumll2QYRsVPaGioOnbsqHPPPVdz5szR/v37vR7fn/70J1188cXq1KmTDMPQtddeW6/3CwBAU0ZcBgCg6SAuAwDQdBCXAROJT6AW6enpGjJkiAoKCjR37lx99NFHWrhwoc4++2y9/vrrkqT27dvr0ksv1cqVK5WXl+fxOq+99pqOHDmi66+/3q39xRdf1Jo1a/Txxx/rb3/7m/r166dHH31UvXv31ieffOLVGJ944gnl5OTo0ksvVXBwcP3eMAAATRhxGQCApoO4DABA00FcBioZLpfL5e9BAE3VOeecoz179mjr1q2yWq1ux5xOpywWc+7A+++/r5SUFD311FP6/e9/X+06ycnJyszM1O7du2W1WvXSSy9p8uTJysjI0MCBA9367ty5U0OHDtXBgwf1888/KyYmptYxVh1HeHi4Lr/8cr300kv1eNcAADRNxGUAAJoO4jIAAE0HcRmoxIpPoBY5OTlq165dtWAhqeIfaUkaNWqUOnfurBdffLFavy1btmjdunWaNGmSx+scLyEhQfPnz1dhYaGeffbZE/avOg4AAJoz4jIAAE0HcRkAgKaDuAxU4r80oBaDBw/WunXrdPvtt2vdunVyOBwe+1ksFl177bXauHGjvvnmG7dj5UHkuuuu8/rvTUlJUVBQkFavXn3ygwcAoJkhLgMA0HQQlwEAaDqIy0AlEp9ALR555BENHTpUTz31lJKTk9WqVSudffbZeuSRR3To0CG3vtddd50Mw9ALL7xQ0VZaWqrFixfr7LPPVq9evbz+e1u1aqV27dopKyurwd4LAACBjrgMAEDTQVwGAKDpIC4DlUh8ArWIjo7W559/royMDD3yyCMaPXq0fvrpJ82cOVOnn366Dhw4UNG3a9euOvfcc7VkyRKVlJRIMmum7927t06zZMqx/S4AAO6IywAANB3EZQAAmg7iMlCJxCfghYEDB+oPf/iD3njjDWVlZenOO+9UZmam5s6d69bv+uuvV05Ojt555x1JZnmA8PBwpaWl1envO3z4sHJychQXF9dg7wEAgOaCuAwAQNNBXAYAoOkgLgMkPoE6s9lseuCBByRJmzdvdjs2duxYRUZG6oUXXtCvv/6q9957T7/73e8UHh5ep78jPT1dZWVlGjFiREMNGwCAZom4DABA00FcBgCg6SAuo6Ui8QnUIjs722P7li1bJKnaTJbQ0FCNHz9eH330kR599FE5HI46lwfYuXOn7rrrLkVEROimm246uYEDANAMEZcBAGg6iMsAADQdxGWgktXfAwCaslGjRqlz58665JJL1KtXLzmdTn399deaP3++wsPDNXXq1GrnXH/99frb3/6mxx9/XL169dKQIUNqvP7mzZtVWlqq0tJS7d+/X59//rlefPFFBQUFacWKFWrfvv0Jx/jZZ5/p119/lSSVlZXpl19+0ZtvvilJOuecc7y6BgAAgYC4DABA00FcBgCg6SAuA5UMFzvPAjVatmyZ3n77bWVkZCg7O1vFxcWKjY3VOeeco5kzZ6p3794ez+vfv782bdqkuXPn6u677652/KWXXtLkyZMrXgcHB6tt27bq3bu3Ro0apSlTpnj9D/2IESP02WefeTz26aefUmYAANBsEJcBAGg6iMsAADQdxGWgEolPAAAAAAAAAAAAAAGPPT4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACHolPAAAAAAAAAAAAAAGPxCcAAAAAAAAAAACAgEfiEwAAAAAAAAAAAEDAI/EJAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Kz+HoA/OJ1OZWVlqXXr1jIMw9/DAQC/cblcKiwsVFxcnCwW5sLAf4jNAGAiNqMpIC4DgIm4jKaAuAwAJm/jcotMfGZlZSk+Pt7fwwCAJmPXrl3q3Lmzv4eBFozYDADuiM3wJ+IyALgjLsOfiMsA4O5EcblFJj5bt24tyfxw2rRp4+fRAID/FBQUKD4+vuLfRcBfiM0AYCI2oykgLgOAibiMpoC4DAAmb+Nyi0x8lpcEaNOmDcECACRKpcDviM0A4I7YDH8iLgOAO+Iy/Im4DADuThSXKU4PAAAAAAAAAAAAIOCR+AQAAAAAAAAAAAAQ8Eh8AgAAAAAAAAAAAAh4JD4BAAAAAAAAAAAABDwSnwAAAAAAAAAAAAACntXfAwgEZWVlcjgc/h4G4BWbzaagoCB/DwMAfIa4jKaEuAugpSMuI1AQswEAAFoGEp+1cLlc2rt3rw4ePOjvoaA5czolh0M6elQqK5OCgqTQUMlmkywntyi7bdu26tixowzDaODBAoD/EJfhc2VlUnGxVFJSGZODg6WQEPPPNSDuAmiJiMvwOe6VAQAAcBL8nvhcvXq1HnvsMW3YsEHZ2dlasWKFLrvsslrP+eyzzzRt2jR9//33iouL0z333KObb765wcdWfhPXoUMH2e12vhij4ZWUSPv2SUeOSFar+SNJpaVSq1ZSTIz5wNVLLpdLRUVF2r9/vyQpNjbWF6MGAL8gLsOnjhyR9u83H67abOaPJLlc5p87dJDCwtxOIe4CaMmIy/CpkhIzLnu6Vw4PN+My98oAAADwwO+Jz8OHD+uMM87Q5MmTNW7cuBP237Fjh1JSUnTDDTfolVde0RdffKFbb71V7du39+p8b5WVlVXcxEVHRzfYdYEKZWVSVpaUn+/5eH6+OaO1S5daV5kcL+zYQ9n9+/erQ4cOlPIB0CwQl+FTDoeUkyMVFpqvLRYz2elwmKtNCgvNWJyYWPng9RjiLoCWiLgMnyork7KzpZpWEx88aMblhATulQEAAFCN3xOfF110kS666CKv+z/zzDNKSEjQggULJEm9e/fWV199pXnz5jVo4rN8jxK73d5g1wTcFBVJubm198nNldq3l1q3rtOly/+7dTgc3MwBaBaIy/Cpw4fNh6jR0eYqkuJiM+lps5llbg8dMhOjhw5JbdtWO524C6ClIS7Dp44cMeNubXJyzHvl8PA6XZqYDQAA0Pz5PfFZV2vWrNHIkSPd2kaNGqXnn39eDodDtvKyZFUUFxeruLi44nVBQYHXfx/leuAz5atKvOlXx8Qn/90CaOpONjbz7xt84vBhqVMn8/cvv1Q/3rZt5XEPiU/+uwQQ6IjLaFIOHfK+Xx0Tn/w3CyAQ1OdZNgAgABOfe/fuVUxMjFtbTEyMSktLdeDAAY/7NMyZM0ezZ89urCEC3ikpadh+LUz65iNe9UvtG3biTgAaHbEZTYrNJhUUVJbUMwyzdF5ZmbnHZ3l7mzb+GmGTR1wGAhtxGU0K98r1RlwGAhtxGQDqx+LvAZyM42fouVwuj+3lZs6cqfz8/IqfXbt2+XyMwAlZvZx34G0/AAggxGY0KUFBZnKzVSspJkZq186sttCunfm6VavK/cQAoBkiLqNJCQ5u2H4AEGCIywBQPwGX+OzYsaP27t3r1rZ//35ZrVZFR0d7PCckJERt2rRx+4H07bffavLkyeratatCQ0MVHh6u/v37a+7cuco90d6T9XDttdcq3ItyNCNGjNCIESMa7O+dNWuWDMOo+LHb7ercubNGjRqlp556SoXelp5tKKGhlX82DDPBWSV5f+2sWQofPty9HwA0E8TmSi+99JJbfLJarYqNjdWVV16pn3/+2ed/71dffeWzv6Pq+zIMQ23atNGQIUP06quv+uzvPJHExERde+217o1Hj0qRkWYs3rdP+vVXKS/P/L1vn9keGWn2A4BmiLhcyVNc7ty5syZPnqw9e/b4e3h18uWXX2rWrFk6WF654ASOv2e2WCyKjY1VSkqKvvjii5Mex9KlS7VgwYJq7UVFRZo1a5b+85//uB/wtnxtHcvcAkCgIC4DQP0E3FKywYMH691333Vr++ijjzRw4ECP+3vCs3/84x+69dZb1bNnT91999067bTT5HA49NVXX+mZZ57RmjVrtGLFCr+OcdGiRT657gcffKCIiAiVlJQoKytL//rXv3TPPffoscce07vvvqszzjjDJ39vNaGhUocOZrLT6ZRKS80HqxZL5Z4mhkHiEwBaiBdffFG9evXS0aNH9cUXX+gvf/mLPv30U23dulWRkZH+Ht5Ju/zyyzV9+nS5XC7t2LFDDz/8sMaPHy+Xy6Xx48f7e3im8licn1/5umqp2/x8KSLCbYISAKB5K4/LR44c0erVqzVnzhx99tln+u6779SqVSt/D88rX375pWbPnq1rr71WbT3sUV2T8ntmp9OpnTt3au7cuRoxYoTWrVun/v3713kcS5cu1ebNm3XHHXe4tRcVFVWUcnSb9BwWJkVHSzk5NV80OtrsBwAAABzH74nPQ4cOadu2bRWvd+zYoa+//lpRUVFKSEjQzJkztWfPHr388suSpJtvvll//etfNW3aNN1www1as2aNnn/+eb+uHPDa4cPS119LX34p7d4tde4sDRki9etnllBrJGvWrNEtt9yiCy+8UCtXrlRISEjFsQsvvFDTp0/XBx980Gjjqclpp53mk+sOGDBA7dq1q3h95ZVX6ve//73OOeccXXrppfrpp5/cPhOfcbkkh8NcUXK8iAjJbvf9GACgJWsicblc3759NXDgQEnmw7+ysjI98MADWrlypSZPntzo42koMTExSk5OlmROYDv77LOVmJioZ599tukkPm02M7nZqpW5esTThKT8fKkOD40BAHXUhOPyueeeq7KyMj344INauXKlJkyY0OjjaUxV75mHDBmiQYMG6dRTT9Wbb755UonPOgsKkuLizD97Sn5GR5vHayhB73A4KlbrAgAAoOXxe6nbr776SmeeeabOPPNMSdK0adN05pln6v7775ckZWdna+fOnRX9u3btqlWrVuk///mP+vXrpwcffFBPPvmkxo0b55fxe23nTumWW6ShQ6V77pGefNL8PXSo2V7lPfraww8/LMMw9Pe//91jgi84OFiXXnppxWun06m5c+eqV69eCgkJUYcOHTRp0iTt3r272rkvvPCCzjjjDIWGhioqKkpjxozRli1bTjimL774Qu3atdPFF1+sw4cPS/Jc6rakpEQPPfRQxVjat2+vyZMn69dff63jp+DujDPO0L333qudO3fq9ddfr/N7qqks77XXXqvExES3tt27d+vycePUOjZWbfv104Q//UkZ338vIylJL5WvZs7PN1eZSNr23XdKSUlReHi44uPjNX36dBUXF9fr/QJAi9eE4nJNyh+27tu3z639nXfe0eDBg2W329W6dWtdeOGFWrNmTbXzt27dqquuukoxMTEKCQlRQkKCJk2aVGsMyc7O1oABA9S9e3d99913atu2rW666aZq/TIzMxUUFKTHHnuszu+rS5cuat++fbX3tXPnTk2cOFEdOnRQSEiIevfurfnz58vpdLr1mz17ts466yxFRUWpTZs26t+/v55//vmKPd/LORwO3XPPPerYsaPsdruGDh2q9evXex5USYl3pW5LSur8fgEAXgiAuFw+ieeXX36RJLlcLi1atEj9+vVTWFiYIiMjdfnll+t///uf23kff/yxRo8erc6dOys0NFTdunXTTTfdpAMHDrj1Ky8z+/333+uqq65SRESEYmJidN111ym/vCKBzBhsGIZeeumlamM0DEOzZs2quN7dd98tyXyOUl6+tlpZWS9ERERIkluVrfKSwJmZmW59//Of/7j9PSNGjFB6erp++eUXtzK6mZmZat++vSQztpe3V5SjDwnRz8XFGj93rjr89rcKOfts9b7qKv1t9WopIUE69iyj/O9bvHixpk+frk6dOikkJMRtgj0AAABaFr8nPkeMGCGXy1Xtp/xL/EsvvVTti/k555yjjRs3qri4WDt27NDNN9/c+AOvi8OHpT/9SVq82PPxxYul++4z+/lYWVmZ/v3vf2vAgAGKj4/36pxbbrlFf/jDH3ThhRfqnXfe0YMPPqgPPvhAQ4YMcbtZmzNnjq6//nr16dNHy5cv18KFC/Xtt99q8ODBte5RtmzZMp1//vlKS0vT22+/XWPZIKfTqdGjR+uRRx7R+PHjlZ6erkceeUQff/yxRowYoSNHjtTtwzhOebJ39erV9X5PNTl8+LDOPfdcffrpp3r0ttu0bM4cxURH63d//GP1zsXFcpSW6tJJk3T++efr7bff1nXXXacnnnhCjz766Em/TwBo8ZpQXK7Njh07JEk9evSoaFu6dKlGjx6tNm3a6NVXX9Xzzz+vvLw8jRgxQv/9738r+n3zzTdKSkrS2rVr9ec//1nvv/++5syZo+LiYpXUkLzbvHmzzjrrLIWEhGjNmjU6/fTTdd1112nJkiVuD1wlsxx9cHCwrrvuujq/r/z8fOXm5rq9r19//VVDhgzRRx99pAcffFDvvPOOLrjgAt111136/e9/73Z+ZmambrrpJi1btkzLly/X2LFj9X//93968MEH3frdcMMNmjdvniZNmqS3335b48aN09ixY5XnqdLC8aVuqw/aPE6pWwBoeAESl8sTaeXJuptuukl33HGHLrjgAq1cuVKLFi3S999/ryFDhrhN7tm+fbsGDx6sp59+Wh999JHuv/9+rVu3TkOHDpXD4aj294wbN049evTQW2+9pRkzZmjp0qW688476zzeKVOm6P/+7/8kScuXL9eaNWu0Zs0ar1ZslpWVqbS0VCUlJdq2bZtuu+02hYSE6PLLL6/zOBYtWqSzzz5bHTt2rBjDmjVrFBsbW1Fp6vrrr69ov++++yRJP/zwg5KSk7V561bNf+IJvffee0odPVq33323Zj/0ULW/Z+bMmdq5c6eeeeYZvfvuu+rQoUOdxwoAAIDmgbofjeHrr2u+iSv38svSjTdKZ5/t06EcOHBARUVF6tq1q1f9t27dqr///e+69dZb9dRTT1W0n3nmmTrrrLP0xBNP6C9/+YsOHjyoBx98UCkpKVq6dGlFvxEjRqh79+6aNWuWlixZUu36jz76qO699149/PDDuueee2ody7Jly/TBBx/orbfe0tixYyvazzjjDCUlJemll17SLbfc4tX78qRLly6SpKysLEk66fdUm3/+85/atm2b3l+yRL899sB3ZHKyio4e1bPLl1frX1JSotl3360rbrxRknT++efrq6++0tKlSytWRQMA6qgJxeWqyh8ylu/x+dBDD2n48OEVE3OcTqfuvvtunX766Xr//fdlsZjz11JSUnTqqafqD3/4g7744gtJZgUNq9Wq9evXVzyglVRjab5PPvlE48aN08iRI7V48WKFHttf+ve//70WLlyoF198sWJfrqNHj+qFF17QVVddpejo6BO+L5fLpdLSUrlcLmVmZuquu+6S3W7XAw88UNHn8ccf1549e7Ru3ToNGjRIkjRq1CiVlZXpmWee0R133FGRKH3xxRcrznM6nRWT6BYuXKj77rtPhmFo69at+uc//6k777xTc+fOlWSW84+JifH8GZSXui1nsZhtDoeZ8JQodQsAvhIAcfmzzz7TQw89pNatW+vSSy/V2rVr9Y9//EPz58/XtGnTKs4ZNmyYevTooccff7xismrVidoul0tDhgzRiBEj1KVLF73//vtu1ZYkMwlYvlLzggsu0LZt2/TCCy/o+eefl1GHCTidO3dWQkKCJPP+/fhKRLXp2LGj2+vyCVenn36619cod9ppp6lt27YKCQmpWDVbbsCAARVjPf7YtGnT1Lp1a/33v/9VmzZtJJmxvLi4WI888ohuv/12tz3QTz31VL3xxht1Hh8AAACaH7+v+GwRvvyyYfs1ok8//VSSKsvNHDNo0CD17t1b//rXvySZ+4YeOXKkWr/4+Hidd955Ff3KuVwu3XTTTXrggQe0dOnSEyY9Jem9995T27Ztdckll6i0tLTip1+/furYseNJlew5fkxV1fU9eeOzzz5T69at9duhQ93arxo50mN/wzB0SWqqW9tvfvObivJKAICT0ETjcnJysmw2mxknfvtbRUZG6u23367Yn+rHH39UVlaWrr766oqkpySFh4dr3LhxWrt2rYqKilRUVKTPPvtMaWlpbknPmvzzn/9USkqKpkyZomXLllUkPSXplFNO0cUXX6xFixZVxMmlS5cqJyen2krMmixatEg2m03BwcHq0aOH3n//fb366qsVDzsl6d///rdOO+20iqRnuWuvvVYul0v//ve/3fpecMEFioiIUFBQkGw2m+6//37l5ORo//79kiq/vxyf5ExLS/O831f5ipvoaKlLF6lDB3Ovzw4dzNflCV4PK3MAAPUUAHH54osvVseOHfX+++8rJiZG7733ngzD0MSJE93uTTt27KgzzjjD7d50//79uvnmmxUfHy+r1SqbzVYx6dbTtjDHJ0J/85vf6OjRoxUxrjF88sknysjI0Pr16/Xee+/pggsu0JVXXqkVK1Y0yt9/9OhR/etf/9KYMWNkt9vdPuOUlBQdPXpUa9eudTunyW9/BAAAgEbDis/G4GEvTI/27PHtOCS1a9dOdru9onzeieTk5EiSYmNjqx2Li4urSMCdqN/HH3/s1lZSUqLXX39dffr00UUXXeTVWPbt26eDBw8qODjY4/Hj90ipq/L3EhcXJ6nu78kbOTk5iomJkY57DzE1rJixh4Up1OI+PyEkJERHjx6t898NADimCcXlql5++WX17t1bhYWFev311/Xss8/qqquu0vvvvy/pxHHJ6XRWlHEtKytT586dvfp7X3vtNYWFhWnKlCkeV5JMnTpV559/vj7++GONHDlSf/vb3zR48GCvSuVJZrLx7rvvlsPh0HfffaeZM2fqyiuv1MaNG9W9e/eK9+ZpJcrxMXn9+vUaOXKkRowYoX/84x/q3LmzgoODtXLlSv3lL3+pKHtf3v/4FStWq9XzKlWHQ+rUySyj6GlyUdu25nH2+ASAhtfE47LValVMTIxb/N23b59cLpd5b+fBKaecIsmsTDBy5EhlZWXpvvvu0+mnn65WrVrJ6XQqOTnZ43Ytx8epkGN7WdZ3a5e6OOOMM9SuXbuK1xdddJFOP/103XbbbRozZozP//6cnByVlpbqqaeecqs8VdXx9/+evh8BAACgZSLx2Ri8fPCoTp18Ow5JQUFBOv/88/X+++9r9+7dJ3woWn7TlZ2dXa1vVlZWxc1Q1X7Hq9qvXEhIiD799FONGjVKF1xwgT744AO3MjWetGvXTtHR0RX7gByvdevWtZ5/Iu+8844ks5StVLf3FBoaWm3/M6n6zVh0dLTWr19vriKpYu+xB7QelZfYAwA0jCYUl6vq3bu3Bg4cKEk699xzVVZWpueee05vvvmmLr/88hPGJYvFosjISBmGoaCgIO328kHykiVLdN999+mcc87RRx99pH79+rkdP++889S3b1/99a9/VXh4uDZu3KhXXnnF6/fVvn37ivc1ePBg9e7dW+ecc47uvPNOvffee5LM+FjT+5JUEXNfe+012Ww2vffee24rU1euXOl2XvlntXfvXnWq8r9jaWlpRVLUTatW0sGD5o8n5e2UugWAhhcAcfl47dq1k2EY+vzzzysSk1WVt23evFnffPONXnrpJV1zzTUVx8v3Cz0Z5fGvuLjYrd1jfGsgFotFffr00RtvvKH9+/erQ4cONY6jvhOSJSkyMlJBQUG6+uqrddttt3nsc/z2PXUpAwwAAIDmjVK3jWHIkIbtV08zZ86Uy+XSDTfcoBIPKxccDofeffddSebDTknVHnBmZGRoy5YtOv/88yWZDzLDwsKq9du9e7f+/e9/V/Sr6swzz9Rnn32m3bt3a8SIEScs3XPxxRcrJydHZWVlGjhwYLWfnj17ev8hHOebb77Rww8/rMTERKWlpdX5PSUmJuqnn35yu+nLycnRl8eVYzrnnHNUWFio9//zH6lKove1jz6qPqjyVaFVHuwCABpAE4vLNZk7d64iIyN1//33y+l0qmfPnurUqZOWLl3qVp798OHDeuuttzR48GDZ7XaFhYXpnHPO0RtvvOHVw8eoqCh98skn6t27t84999xqpeMk6fbbb1d6erpmzpypmJgYXXHFFSf9voYNG6ZJkyYpPT1da9askWTuYf3DDz9o48aNbn1ffvllGYahc889V5L5UNNqtSooKKiiz5EjR7T4uL3hyicxHb8X97Jly1RaWlp9UIZRc9Kz3MGDZj8AQMMKkLhc1cUXXyyXy6U9e/Z4vDct3wuzPBl3fHL02WefPem/OyYmRqGhofr222/d2t9+++1qfRtqtWhZWZm+++47hYSEVOy3WV6p4fhxlE8oPn4cnsZQ0/jsdrvOPfdcbdq0Sb/5zW88fsbe7DMOAACAlokVn42hXz/p6qul4x7KuZk0yezXCAYPHqynn35at956qwYMGKBbbrlFffr0kcPh0KZNm/T3zpjaOwAAqBpJREFUv/9dffv21SWXXKKePXvqxhtv1FNPPSWLxaKLLrpImZmZuu+++xQfH68777xTktS2bVvdd999+uMf/6hJkybpqquuUk5OjmbPnq3Q0FA98MADHsfSu3dvff7557rgggs0fPhwffLJJzWuQr3yyiu1ZMkSpaSkaOrUqRo0aJBsNpt2796tTz/9VKNHj/aq7M6GDRsUEREhh8OhrKws/etf/9LixYvVoUMHvfvuuxWldOvynq6++mo9++yzmjhxom644Qbl5ORo7ty5FTeF5a655ho98cQTmnjNNXroj39Ut+hovf/xx/rw2EPmij3bIiLMh6vH7TsKAGgATSwu1yQyMlIzZ87UPffco6VLl2rixImaO3euJkyYoIsvvlg33XSTiouL9dhjj+ngwYN65JFHKs59/PHHNXToUJ111lmaMWOGunXrpn379umdd97Rs88+W61KQuvWrfXBBx9o7NixuvDCC/XOO+9UJBslaeLEiZo5c6ZWr16tP/3pTzWWnffWgw8+qNdff1333XefPvnkE9155516+eWXlZqaqj//+c/q0qWL0tPTtWjRIt1yyy3q0aOHJCk1NVWPP/64xo8frxtvvFE5OTmaN29etQfKvXv31sSJE7VgwQLZbDZdcMEF2rx5s+bNm1ctNkuSvH0g3IhlBgGgxQiQuFzV2WefrRtvvFGTJ0/WV199peHDh6tVq1bKzs7Wf//7X51++um65ZZb1KtXL5166qmaMWOGXC6XoqKi9O67757UtinlyvcWfeGFF3TqqafqjDPO0Pr167V06dJqfcsTsAsXLtQ111wjm82mnj17nrBaUvk9s2SW9X3hhRe0detW3XnnnRUrPZOSktSzZ0/dddddKi0tVWRkpFasWKH//ve/HsexfPlyPf300xowYIAsFosGDhyo1q1bq0uXLnr77bd1/vnnKyoqSu3atVNiYqIWLlyooUOHatiwYbrllluUmJiowsJCbdu2Te+++67b/t8AAABAVSQ+G0OrVtJDD5mJrJdf/n/27jw+qvLs//j3TGYSMgmELBAImRAUEQu1CoSyaNxRkyqCiAqKC/jIY+tS0BZqf4rWRyoFRatY26JUAQsuiG3SVtpaY0UkCi6xLkAJCSQQSEK2gTDJzO+PQwJDFiYkM5NkPu/Xi1ecc+4zuWZErzlz3fd1Nz0/Y4b0i1+Y4wLkjjvu0OjRo/XUU0/piSee0N69e2Wz2TRkyBBNmzZNP/rRjxrHPv/88zr99NO1fPlyPffcc4qJidEVV1yhhQsXes2ynD9/vvr27atnnnlGa9asUWRkpC688EI9/vjjjXt4Nee0005rLH6ef/75+sc//tG4J8rxwsLC9Pbbb+vpp5/WK6+8ooULF8pqtSo5OVkXXHBB403dyVxxxRWSzNmlcXFx+u53v6snnnhCt912W5MbQF9f0/jx4/WHP/xBv/zlLzVx4kSddtppevjhh5Wdna1//etfjeOioqL0z3/+U/fdd59+8vDDMiRNSE/XsscfV8att6p3crKUmChVV0sNq0dPaB0EAGinTpiXW3L33Xfr2Wef1aOPPqobb7xR06ZNU1RUlBYuXKjrr79eYWFhGjNmjN59912NO24lTMOXoA8//LDmz5+vqqoq9evXTxdffHGLRcvIyEitX79e06ZNU0ZGht544w1lZGQ0nrvqqqu0cuVKzZ49u92vy+Fw6O6779avfvUr5eTkKD09XRs3btT8+fM1f/58VVZW6rTTTtOiRYs0Z86cxusuvvhivfjii3riiSd01VVXacCAAbrjjjvUt29fzZw50+t3LF++XImJiVqxYoWeeeYZnXPOOXrjjTd0ww03NA3I5fJ+bBhSWJhUX+89Cam51aIAgPbpQnn5eC+88ILGjBmjF154QcuWLZPb7VZSUpLGjx+v0aNHS5JsNpv+9Kc/6d5779Wdd94pq9WqSy+9VH//+9+VkpJyyr97yZIlkszuENXV1br44ov15z//ucl+2RdeeKHmz5+vP/zhD/rd734nt9utd999t7EzQksa7pklszPEGWecoRdffNGrXW9YWJj+9Kc/6Uc/+pFmz56tiIgI3XDDDXr22WeVmZnp9Xz33nuvvvzyS/3sZz9TRUWFPB5PY/eK5cuX64EHHtDVV1+t2tpa3XLLLVqxYoW+853vaMuWLfrFL36hn//85yopKVHv3r11xhlnNH4+AQAAAJpjeDyht6SssrJSMTExqqioaH7Wv6TDhw9r586dGjRokNceUu1SUyN9+qm0caO0Z4+5R8m4cebM1U52E4cA2LVLcjql6Gg9/utf6+eLF6tg40YlDxhgFj5rasxxffpIAwe26an98ve3k8nK823VTebwSD9H0rX58v9DIBBO9neRvBxcR44cUWpqqs477zytXbs22OF0vN27pb17zX/v0dHm/tp1dZLVKlksx/Jyv37N7kUXCnn3ZMjLHYfcjM6AvIzuKlRyNnm545CX0Rnw9xAATL7+/5AVn4EUFSWNH2/+Qch69tlnJUlD+/WT6+BB/fO99/TMmjW6KSNDyTabtG+f2eo2NlYqLze/dAUAdDzy8knt379f33zzjV566SXt27dP8+bNC3ZI/mG3m3nX7Tbz8Ika8rLdHvjYACBUkJcBAAAAdAAqKl3IwUPuk47pHWkJQCRoD7vdrqeeekr5O3eqtrZWKQMG6Kf/+7/6+ezZ5heqDStLrFbz5t9mC3bIAIBm+JKXpa6dm7OysnTbbbepf//+WrZsmUaMGBHskPyjYV/tiormz1dUSL17mzkaANAphUJeBgAAAHByFD6BALv99tt1+9Sp5ooSt/vYl6w1Ncfa28bEmF+uxsYGL1AAQMi79dZbdeuttwY7DP+rq5MOHmx9zMGDZn4GAAAAAABAp8VURyAYDh3yLnoahrnC0zDMxxUV5nmJ1SUAAPiby9Wx4wAAAAAAABAUrPgEgqGhnV5UlBQdbRY56+ulsLBjrW4rKqRevczjAADAf04saBqGmZPr682c3aCuLrBxAQAAAAAAoE0ofALB4HKZbWw9HrPl7Yl69zbPu1zs8QkAgL9Zj34kPn5CUl2debxhQlJNjVkMBQAAAAAAQKdF4RMIBsMwi54t7Sd28KBZ/LRYzC9hAQCA/9hs5oQjt7v5CUkxMeZ5JiMBAAAAAAB0ahQ+gWCIiJCKilof01D8jIwMRETdVlbeIZ/GZQ7nfQaAkGW1HmtDLzVtdVtRYeZkKx+d24u8DABA50FeBgAA3RHf3gDBUFvr27gjR2irBwCAv1ks5oSj1lrdHjwoJSQEO1IAAAAAAAC0gsInEAxHjnTsuG7E1xmnAAB0mEOHfGt1e+iQufIzhJCXAQDoPMjLAAAAJ0fh8xQE64Nmncfj9fiCwT3a9Xyff/65nn76af3rX/9S0dG2q8nJybr44ot1xx13aNSoUe16/mAyDEMPP/ywFixY0Oz5Cy+8UO+9995Jn6e15/CF0+nUokWLdOGFF+rCCy88dsJq1YLf/laP/O532r9hgxJa+hKVlnoA4JNg5Gbysu86fV72eLRg6VI98uyzzefligqz+AkA8Al5uXPr9HlZ0oIFC/TII49o//79SqDjAgAAANqAqkqIeuGFF/SjH/1IZ555pu69914NGzZMhmHoq6++0quvvqq0tDRt375dp59+erBD9Ytly5apsrKy8XFWVpYee+wxvfTSSxo6dGjj8eTk5Hb9HqfTqUceeUSSvG/kevh4Ex4RYbbFjYhoVxwAgM6NvBzkvGyznbwNfcM+nwCAbo+8HOS8DAAAALQDhc8Q9MEHH+iuu+7ShCsy9IfVryk8PLzx3IixF2r67f+rt958TUfUerHN6XTKbrf7O1y/+M53vuP1+Ouvv5YkDR8+vNWZux32msPDT17MjIkx9xUrKpJSUtjr0898mZWeOTwyAJEACDXk5U6Ql2lB3+n4ulqM3Aygo5GXO0FeRqdDXgYAAF2JJdgBIPAef/xxhYWF6alf/8brJu5410y+Tv2Tkhof33rrrYqOjtYXX3yhCRMmqGfPnrrkkkskSWVlZbrrrrs0YMAAhYeH67TTTtODDz6o2uNWTuTn58swDK1YsaLJ7zIMw6s9zoIFC2QYhr788kvdeOONiomJUWJiom6//XZVVFR4XVtZWak77rhD8fHxio6O1hVXXKFvv/22He/OMQ1xbNmyRVOmTFFsbGzjjN7mWvFI5vuUmpra+Jr79OkjSXrkkUdkGIYMw9Ctt95qrio5+t7vKy3VjQ8+qJgLL1Ti5Zfr9kcfVYXFIkVFmV+wlpWZe4oBALol8rJv/JqXXa7Gaxrz8kUXHcvL1dXmybq6DnktAIDOi7zsG7/m5ePs27fvpK8TAAAAOB4rPkNMfX293n33XZ0zYpT69e/fpmuPHDmiq6++WnfeeafmzZunuro6HT58WBdddJF27NihRx55RGeffbbef/99LVy4UJ9++qmysrJOOdZrr71W119/vWbOnKkvvvhC8+fPlyS9+OKLkiSPx6NrrrlGGzdu1EMPPaS0tDR98MEHuvLKK0/5dzZn8uTJuuGGGzR79mzV1NT4fF3//v3117/+VVdccYVmzpypWbNmSZJ5c3foUOOXrNc++KCuz8zUzJtu0hfffqv5v/qV1KOHXly40FzxabFI1dVSdHSHvi4AQPCRl9vOL3nZZmsc15iXp0/XF9u2mXnZatWLP/sZe28DQDfXkJdHjSIv+8ovefk4J3udAAAAwIn49ibEHDhwQIcOHZIjJaXJufr6enk8nsbHYSe0VnW5XHrooYd02223NR574YUX9Pnnn2vt2rW67rrrJEmXXXaZoqOj9dOf/lQbNmzQZZdddkqxzpw5Uw888IAk6dJLL9X27dv14osvavny5TIMQ3/729/07rvv6umnn9Y999zT+LvDw8P14IMPntLvbM4tt9zSuO9IW0RERGjkyJGSzL1PxowZc+zk3r3S4cOSpJnXX68H7rxTcrt16QUXaHtBgV5cs0bLH3hARr9+5n6gtNYDgG6JvNx2fsnL+/c37r89MzNTD9x8syTp0u98R9u//lov/ulPWr5okYwWVv4AALqHhrw8cODAJufIy83zS14+zsleJwAAAHAiWt2i0YXj0tSnV0Tjn2effrLJmGuvvdbr8T//+U9FRUVpypQpXscb2tP84x//OOV4rr76aq/HZ599tg4fPqySkhJJ0rvvvitJmj59ute4adOmnfLvbM6Jr7lDHLd68+pzzzW/cC0vl/bv19kDBuhwba1KysqOjWWFCQCEHPJy8/ySl4/74vTq88/3OnX2GWeYefnAAa9xAIDQQl5unl/y8nFO9joBAACAE1FNCTEJCQmKjIxUYUFBk3O/W7FSh5xO7d1brGnXXdPkvN1uV69evbyOlZaWql+/fk1mWvbt21dWq1WlpaWnHGt8fLzX44iICEnSoaP7XZaWlspqtTYZ169fv1P+nc3p38YWRz6JjGxcWRLfu7fk8Uj19ZKkiKPt9g6Fh5stbu32xrEAgO6FvNx2fsnLhtHYiSG+d2+vU415uaREOuOMjv/dAIBOoyEv79q1q8k58nLz/JKXj3Oy1wkAAACciBWfISYsLEwXX3yxPt3ysfYWF3udG3rWd3TuyFEaNvy7zV7bXBuZ+Ph47du3z6vljySVlJSorq5OCQkJkqQeRwt3tbW1XuPae6NXV1fX5Dn27t17ys/ZnBNf98FDblltEXIeqtXBQ26vP8X79svtMce0KixMOr5dnmGYqzqP/10Wi1RTI7ndUl1dB74iAEBnQV5uO7/k5RPeh3aPAwB0SQ15+eOPycu+8kteBgAAANqBwmcImj9/vurr6zXnnv+Vy+VqdWzDDcqReo/X44Y/Y8+/SNXV1Xrrrbe8rnv55ZclSZdccokkKTExUT169NDnn3/uNW79+vWn/DouuugiSdKqVau8jq9evfqUn9NXjoGp2r79W68b07LSUm3+6EOvcT7NRk1OlhITpZgY8+fRm19VVJg/rVaz+AkA6JbIy+3X7rx84vve3IQkiYlIABACyMvt16H3ywAAAEAb0eo2BI0fP16/eurX+unce3XBuFG69fY7NPSs78hisWjv3mL96a03JUk9e/Y86XPdMH2Gfv/b53XLLbcoPz9f3/3ud/Xvf/9bjz/+uDIyMnTppZdKMmeB3nTTTXrxxRd1+umn63vf+542b97crpuuCRMmKD09XT/5yU9UU1OjUaNG6YMPPtArr7xyys/pq+un3aQVy3+rO2+/WTNum6WyslI98+Ri9ezp3dqoZ8+eGjhwoNavX69LLrlEcXFxSkhIUGpqqnS0dZ5275aOb6t34ID5Mybm2LGoKL++HgBA8JCX26/debkhJ0tSnz5mXq6rM4ufx+fjsDC/vxYAQHCNHz9ezz33nO6++27y8inqkPtlAAAA4BRR+OxmfG0Zc/sds5X2/bF64blntOzXS7W3uEiGYShpQLJGjxmr9dkblH7hxSd9nh49euhPf/mHFj32//SrX/1K+/fv14ABA3T//ffr4Ycf9hq7ZMkSSdKiRYtUXV2tiy++WH/+859P+abGYrHo7bff1pw5c7Ro0SIdOXJE48ePV3Z2toYOHXpKz+mrMWPH6/nfvaSlSxZp+tRJSh10mn7ys/+nDX/7i/6d857X2OXLl+uBBx7Q1VdfrdraWt1yyy1asXy55HS2/kvcbqlvX/Ofo6P99EoAAP7mS24mL7dPu/PyokXH9tPev997BWhDB4aYmGOTlgAAXZYvefmGW/5Hw879Pnn5FLU7L69Y4df4AAAA0L0ZnhM3mwgBlZWViomJUUVFhXr16tXsmMOHD2vnzp0aNGhQ434bwdaZ98HoHRk6XZN9/ffQ6ntSXS19/fXJnyQ1VbLbzT9t0Bn//voqK6/ztjnKHB4Z7BA6nC//PwQC4WR/Fzvj/9fIy51Dh+TlsjLzz8GDrTxBbykuzvxzgs7497OjdOa8LJGbAX8hL3cs8nJTwXpPOuPf3bYgLwceeRmdAX8PAcDk6/8PQ+fTN9CZVFf7Ns7lanPREwAAnILWip6+nAcAAAAAAEDQUfgEguHIEd/GHd9qDwAA+MchH1dP+DoOAAAAAAAAQUHhEwiG8PCOHQcAAE7diRONDEOyWs2frY0DAAAAAABAp2INdgBASIqO7thxAADg1Nls5s+oKDP3ut1SXZ1Z/LRYzBb1NTXHxgEAAAAAAKBTovAJBENkpBQfL5WWtjwmLk7q0SNwMQEAEKqioqTYWLPguW9f0/MxMeb5qKjAxwYAAAAAAACf0er2JDweT7BDQHcUFiYlJZnFz+bExEgej1RYKNXWtvnp+XsLoLvi/2/wC7vdzLsVFc2fr6gwz9vtzZ7m7yWAUMX//9DV8HcWAACg+2PFZwtsR1uZOZ1ORUZGBjkadEsREZLDYX6JeviwVF9vFkSPb6nXICXFPOcjp9Mp6djfYwDo6sjL8KsjR6SDB489Ngwz79bXmwVPyTzfr1+z+2+TdwGEGvIyuipyNgAAQPdH4bMFYWFh6t27t0pKSiRJdrtdhmEENaYjte6g/v7WHDZCZ/Gwr/8efHpPamqk3bvNL1c9HrPF3okzUEtLpV69fGqv5/F45HQ6VVJSot69eyusDcVSAOjMyMttQ15uqtX3pLzc/BkZaU5Icru9JyQ5ndKhQ+Y467GPz+RdAKGKvNw25OWmAv2ekLMBAABCB4XPVvTr10+SGm/mgu3Qkc7bkiUyPLg3uYHk67+Hk74nbrf5RWptrfnPFov55/Bhc+XJ8erqzPa3Purdu3fj318A6C7Iy74jLzfV6ntSVmYWOmtqzAJnk4sjzVWgBQVmV4YTkHcBhCLysu/Iy00F6z0hZwMAAHR/FD5bYRiG+vfvr759+8rlcgU7HP3r28PBDqFFFw7qEewQAsbXfw+tvidFRdLTT0vr1zc9d8EF5mqTv/zl2LEZM6Sf/cyn32uz2Zi9CqBbIi/7jrzcVKvvySefSBs2SO+918oTXChdeqk0cqTXYfIugFBFXvYdebmpYLwn5GwAAIDQQOHTB2FhYZ3iw3G9pfPOYO3RI3Ru5Hz999Die1JTIy1YIL3ySvPnX35ZmjhR6ttXys01j/XsKYXQewwArSEvnxx5ualW35MePcz825o//EH6wQ/IxwBwAvLyyZGXmwql9wQAAACBFTobTQCdxaeftlz0bLB+vXTjjccejxvn15AAAAhpn3/eseMAAAAAAAAQFKz4BAJt40bfxu3ZI40dK51+unTOOX4NCQCAkLZ7t/djm83stlBVJR3fvnHPnsDGBQAAAAAAgDbpFIXPZcuW6Ve/+pWKi4s1bNgwLV26VOeff36L41etWqVFixZp27ZtiomJ0RVXXKHFixcrPj4+gFHjVGTlHfJpXObwSD9HEkQnfrnakj17pGnTJKfTv/EAAEIWefmopCTz5+jRUnq62Za+rEyKi5OioqScHGnzZql//+DGCQDo1sjLAAAAQPsFvfC5Zs0a3XfffVq2bJnGjx+vF154QVdeeaX+85//KCUlpcn4f//735oxY4aeeuopXXXVVdqzZ49mz56tWbNmad26dUF4BUAbJSf7Ni42VsrPl555Rho/3vwDAAA6XlqaNHWqVF0tLV7c9HxGhnk+LS3wsQEAAAAAAMBnQd/j88knn9TMmTM1a9YsnXXWWVq6dKkcDoeef/75Zsdv2rRJqampuueeezRo0CCdd955uvPOO/Xxxx8HOHLgFPm6X6fdbq76jI72vT0uAABou+Rk6cgRKTu7+fPZ2WbLW18nLwEAAAAAACAoglr4PHLkiD755BNNmDDB6/iECRO0sYVCz7hx47R7925lZ2fL4/Fo3759ev3115WZmdni76mtrVVlZaXXHyBozjlHmjKl9TGZmWZbvdhYc/UJe4oB6GbIzehUPv9ceuut1sesWyd98UVAwgGAQCMvAwDQeZCXAaB9glr4PHDggOrr65WYmOh1PDExUXv37m32mnHjxmnVqlW6/vrrFR4ern79+ql379769a9/3eLvWbhwoWJiYhr/OByODn0dQJtERUl3320WN5uTmWmOyc01V326XNKAAYGNEQD8jNyMTuWbb3wb9/XX/o0DAIKEvAwAQOdBXgaA9gn6Hp+SZBiG12OPx9PkWIP//Oc/uueee/TQQw/p8ssvV3FxsR544AHNnj1by5cvb/aa+fPna86cOY2PKysrSRgIrpEjzZWfQ4dKTqdUXm6u7rTbzZWeubnHVn1KvrfHBYAugtyMTuXAAe/HNpvUs6dUVWVOQDrKXVqmf3x9SJcNjQxwgADgX+RldFZZeYd8Gpc5nNwMoPsgLwNA+wS18JmQkKCwsLAmqztLSkqarAJtsHDhQo0fP14PPPCAJOnss89WVFSUzj//fD322GPq379/k2siIiIUERHR8S8AOFVRUdL//I9cP3tQtrVrzH08q6uPfbl63KrP2ukztCXmLJX5cMPHzR6AroLcjE5l4EDz5+jRUnq6VFMjlZVJcXFmPs7JkTZvlic5Wa56voQF0P2Ql9HV+ZKbycsAugryMgC0T1ALn+Hh4Ro5cqQ2bNigSZMmNR7fsGGDJk6c2Ow1TqdTVqt32GFhYZLMlaJAl5GSoo/nPa1hN9ys6Jy/y1JY2GTVZ+30Gdpxz0MqEzdoAAD4TXq6NHWqOQlp8eKm5zMypKlTZST1V6znEHkZAAAAAACgkwp6q9s5c+bo5ptv1qhRozR27Fj99re/VUFBgWbPni3JXNq/Z88evfzyy5Kkq666SnfccYeef/75xla39913n0aPHq2kpKRgvhSgzcoUqfdTz1f8oFFKLf5avXI3yrJnt9wTp6jikcXKdwzny1UAAPxt2DCz60J2dvPns7OlSZNkef99pSafqTJHWmDjAwAAAAAAgE+CXvi8/vrrVVpaqkcffVTFxcUaPny4srOzNfBoy7Hi4mIVFBQ0jr/11ltVVVWlZ599VnPnzlXv3r118cUX64knngjWSwDardQTqdJ+58q4+lxZLVKdW2IBMwAAAfLNN9K6da2PWbdOmjtXMVs2yUhJI08DAAAAAAB0QkEvfErSXXfdpbvuuqvZcytWrGhy7O6779bdd9/t56gAAAAQEjZu9G2c0ymLa5+sFslV79+QAAAAAAAA0HadovAJhLp4OZVa+KV6bdkkS9FuuZOSVTlijPIdw1Qqe7DDAwCge9u927dx5eVyjxqqOrd/wwEAAAAAAMCpofCJDpGVdyjYIXRZg5xFGvz0AoWvXul13C4pbtpN2n7vAu20s38tAMB35OU2Sk72bVxsrCqGnUubWwBAm5CX28cwxJYwAAAA8BmFTyCI4uVstujZIHz1Sg02DFXMW6oyRQY4OgAAQsS4cT4Nqz9zqPKTh/k5GAAAIEmqqdHIwk/ojAQAAIA2ofAJBNHAgrwWi54Nwle9otTps1TmSAtQVAAAhJhzzpFuvll65RXzsc0m9ewpVVVJLpckyTN5sgrHX8FEJAAAAqGgQPr5z9WvITcfRWckAAAAnAyFTyCIYrZ+5Nu4LZtkpKTR1gcAAH+IipIee0xKSZFqa6WaGqmsTIqLk6Ki5LFatW/SdH3ZwxHsSAEA6P5qaqSf//zYhKQT0BkJAAAAraHwCQSRpWi3T+PCiwtltUiuej8HBABAKMvPl1atanLYuPpqJcRkadDFU1hdAgCAv336adOi5wndGOiMBAAAgJZQ+ASCyJ2U7NM4iz1SvdyHVMpsVgAAOl5NjfTgg80WPSVJb78ta329zqisUsW0OawuAQDAnzZuPPbPo0dL6enHujEkJEh2u/Tee3RGAgAAQLMofAJBVDlijOw+jLO43RpYkKdSZrMCANDxPv1UWtn6ntvKypJt6FClFuaxugQAAH/afbQz0tSpUnW1tHhx0zHXXqvwAYl0RgIAAEATFD4BP8nKO3TSMQmOYeo7ZYosr7/e8qDMTCknRzGxfbv0bFZf3g8AAPylpTxkGNKF733gPRHphHZ6jZxOxXy6uUvn4+ORmwEAwdJqXu47QPbRo82iZ3Z280/wxhsKc7t15nfHKi+ie+zBTV4GAADoGBQ+gSCqCLOrPv1CWaxW6Y03vL9clcyiZ1SUlJsry+hxzGYFAKCDWS1S2J6jK0tObKcXF2fm4ZwcafNmqbxclugy8jEAAH7i8RztjFReIi1Z0upYY906JV9woYouuYk29AAAAGhE4RMIkng5lZr/pcL2FpsrS+6/X0pOlgoLpYoKc9+SnBwpN1eS5O6fpDp3kIMGAKCbqXNL9QOSW2+nl5Fhno+NlTs2jnwMAIAf7UoZpr7Gn2XxYWzYN18r9cwvVZY8yu9xAQAAoGug8AkEwSBnkc54+mHZVq9qenLiRLPo+fzzXocrRozpFm31AADoTDwe6dCY82T/4L2W2+llZ5tdGNLSVDFsNPkYAAA/qrDY5a6p8anwqfJyxXy5VYZjFPkZAAAAkuTb50gAHSdeTg1Z2kLRU5LWr5dqa6W0tMZDtdNnKN8xPEARAgAQYg7Xtlz0bJCVJU90tEodZwQmJgAAQlSdWzqSPNC3wbGxshTskpVvtwAAAHAUHw2BADuj4HNZX22h6NngzTfNlZ+SXNNv1o57HmLPEgAA/MAwpMitub6N3bFD8bu3+zkiAABCm8cjVZ47xrfBdrvcfRNpQw8AAIBGFD6BADIMKebjf/s2uLZW+slPJIfDv0EBABDCrBbJUrTbt8G7d5vt9Az/xgQAQKjLdwxT/Q03tj4oM1PKyWFbGAAAAHhhj08ggGxhkqVgl2+Dd++WsrJkKynR4MJCVcxbyqpPAAA6WJ1bcg9I9m3wce30XPX+jQsAgFBWKrt2//ghpRyplfHmm00HZGZKUVGqHXIW28IAAADAC4VPIJA8khISfBsbH9/4j+GrXlHq9Fkqc6S1cgEAAGirhnZ69uMP2mxSz55SVZXkch07brfLHduXdnoAAARAnn2gPPMXKiU9XZZvvpHKy6XYWMlul3Jy5BoylG1hAAAA0ASFTyCAXG7JPWSobz2mBw0yb+yOitmySUZKGi18AADoYPmOYepzw40K++8OKT1dqqmRysqkuDgpKkrKyZH69DHb6T2ymFwMAECAON1hqt9bIkvPnmbBc+9e80R6umSLCG5wAAAA6JQofAIB5PFIFalDFJ+RIWVntzwwM1NyOr1WmViKi2itBwCAH5TKrpof3aeeixfKWLy46YCJE6XRo+X55BOVOs4IfIAAAISgeDk1+OkFsq1eaR6w2aToaKm6WnK5ZJPYFgYAAABN+LTwDEDH2db3TNWdn24WN5uTmSmNGiWtXet12N0/idZ6AAD4Qbycinp2qYy33mp+wPr1Um6ujNNPV3zhtoDGBgBAqBpYkKfwhqKnZE4MLi/3miAcvuoVpRbmBSE6AAAAdFas+AQCrFR2fXvxFJ1RWSXb0KHmys7j9yo5ckT66ispN9fruooRY2itBwCAH6QW5insj6+2Puitt6S5c2k9DwBAABiGFLP1I5/GkpsBAABwPAqfQBDstCepYtocpRbmKfbTjxRhscgwDPPkpk1Nip6102co3zE8CJECANC9GYbUy8cvVuV0yuLaR+t5AAD8zGqRLEW7fRrLtjAAAAA4HoVPIEjKFKkyR5osA9N0+pESpT7zC4U/+2yTcbXTZ2jHPQ+xZwkAAH5gtUiWPSd8sWqzST17SlVVXu30VF4u96ihtJ4HAMDP6tySOynZp7FsCwMAAIDjUfgEgiReTqUWfqleWzbJUrRb7tPP0KE33pJRWSlt/VTuvomqGDFG+Y7hFD0BAPATry9WR4+W0tOlmhqprEyKi5OioqScHGnzZik2VhXDzqWVHgAAfubxSJUjxsjuw1i2hQEAAMDxKHwCQTDIWaTBTy9Q+OqVTVaVeCZPluuqiTqYmKpdjmEUPQEA8KPGL1anTpWqq6XFi5sOysiQpk6VZ/BglSYPDnyQAACEoHzHMMVNu8m8b24B28IAAADgRBQ+gQCLl9Msem7/Vrr//iarSoycHIW/vlb9SkoUd8aZ2n7vAu20JwU7bAAAuq0yx2AlulwysrObH5CdLU2aJENSfOE27XKkBTQ+AABCUans2n7vAg02DIWveqXJebaFAQAAQHMofAIBNrAgT+F1R6SEhJZXlURFSenpCl+yRIMNQxXzlnIzBwCAn8QVbpOxbl3rg9atk047TTGHNslISaOlHgAAAbDTnqSKeUuVOn2WYrZskqW4SO7+SWwLAwAAgBZR+AQCyDCk2MLtZiu9hlUlJ7S6VXa2lJkpxcZKNpvCV72i1OmzVMbqEgAAOpxhSL22fuTbYKdTFtc+WS2Sq96/cQEAAFOZIlXmSJORkiarxdyfmwlIAAAAaAmFTyCArBbJVl9rFjdHj5bS05u0ulVOjpSVJV16qRQdLZWXK2ZL515dkpV3KNghAABwSqwWybJnt2+Dy8vlHjVUdW7/xtRe5GUAQHfk8XTNiUfkZQAAgMCi8AkEUL1HMvYUSVOnmqs+W2p1O3WqtHevVFsrSbIUF7G6BAAAP6hzS+6kZN8Gx8aqYti5nXYiEgAAAAAAQKizBDsAIJSEGZInsod3q9sTZWebq0B79JAiIiRJ7v5JnX51CQAAXZHHI1WOGON90GYzOzHYbF6H3WeeqfzkYQGMDgAAAAAAAG3Bis9OgLYnoaPOLSlpQMtFzwZZWdIPfmAWSCVVjBjD6hIACBDycujJdwxT/LTpsm3f1nIb+gED5I6KCnaoABByyMsAAAAA2oLCJxBgnt0+7iO2a5ckqXb6DOU7hvsxIgAAQlup7Kq/bZZszy5tvg39NddIl14q6x13KDV7iMocaYEOEQAAAAAAAD6g8AkEkNUiufeV+DZ4zx7V3jZLO2bOVZki/RsYAAAhLEFOhb/wnLR+ffMD3npLcrmktDTFbNkkIyWNTgwAAAAAAACdEIVPIIDq3FJdkkPhvowdfIa2XvtDlXooenYWvrbZyhzOvzMA6EpSC/Nkef311gdlZUlz58pSXCSrRXLVByY2tM6X3ExeBgAgMLhnBgAAnYEl2AEAocTjkSpHjPFp7P60Cyh6AgDgZ4Yh9dz6kW+DnU65BySbe3YDAAAAAACg06HwCQRYvmOYjky7qdUxR26aoV0p7OsJAIC/WS2SZY+P+2+Xl6sybRxtbgEAAAAAADopCp9AgJXKru33LtCR6Tc3e9593XUyRo3S2W/9XiMLcxUvZ4AjBAAgdNS5JXdSsk9jPcnJKu0/yM8RAQCA4xmGZAszfwIAAAAnwx6fQBDstCepYt5SpU6fpZgtmxReXChLZKQsHrcsOTmyvPaabJLskuKm3aTt9y7QTntSsMMGAKDbaWhDb/dhrJGUpLiCbcp3pPk9LgAAQl28nEot/FK9tmySpWi33EnJqhwxRvmOYSr1KXMDAAAgFFH4RKeUlXfopGMyh3ft/S/LFKkyR5oSUobp3KcflPW3L0gul2SzSXFxUlWV5HIpfPVKDTYMVcxbqjJ17dcMAOiaunte3uUYpr5Tpsjy+ustD5o4UXr1VcVMdMlISaPdLQAgaHzJy1LXzs2DnEUa/PQCha9e6XWcycEAAAA4GQqfQJCl7MpT+O9ekEaPltLTpZoaqazMLH5GRUk5OQpf9YpSp89SGStMAADocBVhdtWfly7LoUNSVlbTAZmZUkSElJsry+hxslokV33g4wQAIBTEy9ls0bMBk4MBAADQGgqfQBAZhhSz9SNp6lSpulpavLjpoIwMaepUxWzZxAoTAAD8oM4tuaoPyVZSIs2dKzmdUnm5FBsr2e1STo6UmytJcvdPUp07yAEDANCNDSzIa7Ho2YDJwQAAAGgJhU8giKwWKcxwm0XP7OzmB2VnS5mZCjM8J11hEgotjwAA6GiN+3z+/KdmgdNul/r1k/buNYugx6kYMcbnSUjkZQAA2qZxcrAP2jo5mLwMAAAQGih8AkFU55bC+iW2XPRskJWlsMnXssIEAAA/yXcMU/z8n8nmOtJs23lt3qza6TOU7xge7FABAOi2rBbJUrTbp7GW4iLazwMAAKAJS7ADkKRly5Zp0KBB6tGjh0aOHKn333+/1fG1tbV68MEHNXDgQEVEROj000/Xiy++GKBogQ6227ebOp/HAQCANuvlPCgjf5fZdv7556U1a8yfixdLCQmq++UvteOeh9hLDAAAP6pzS+6kZJ/G0n4eAAAAzQn6is81a9bovvvu07JlyzR+/Hi98MILuvLKK/Wf//xHKSkpzV4zdepU7du3T8uXL9fgwYNVUlKiurq6AEcOtJ/VIrn3lfg01l1ygNmsAAD4QbycGvz0AllfXdX8gOxshdntsl8yKbCBAQAQYhrbz/swti3t5wEAABA6OnTFp8vlUkFBQZuuefLJJzVz5kzNmjVLZ511lpYuXSqHw6Hnn3++2fF//etf9d577yk7O1uXXnqpUlNTNXr0aI0bN64jXgIQUMxmBdBdnMpnAKCzGFiQp/DVK1sdY7z+uhwf/FVx8m1/MAAIJvIyurJ8xzDV3Ti91TF1026i/TwAAACa5XPhc+XKlRoyZIgiIyOVlpamP//5z03GbNmyRYMGDfL5lx85ckSffPKJJkyY4HV8woQJ2rhxY7PXvP322xo1apQWLVqkAQMGaMiQIbr//vt16FDLX0LV1taqsrLS6w/QGXg8kuesob6NPWsos1kBBIU/PgOQm9FZGIYUs/Uj74M2m7m/p83mdTjsm6+VuvvLAEYHAE2RlxESzv6ulJnZ/LnMTOlsip4Aui/yMgC0j0+Fz3fffVczZsyQ3W7XtGnTVFFRoYkTJ+qnP/1pu375gQMHVF9fr8TERK/jiYmJ2rt3b7PX/Pe//9W///1v5eXlad26dVq6dKlef/11/fCHP2zx9yxcuFAxMTGNfxwOR7viBjqKYUjG/gNSRkbrAzMzZew/IMMITFwA0MBfnwHIzegsrBbJUnR0H+3Ro6X775dmzZIuu8z8ef/95nFJKi9XzJdbyccAgoa8jFAwsCBP1vnzpJISae5c6X//V7rhBvPn3LlSSYms8+ZpWP7HwQ4VAPyCvAwA7ePTHp+PP/64MjMztX79elksFtXX1+vhhx/W448/rqqqKi1btqxdQRgnfHvk8XiaHGvgdrtlGIZWrVqlmJgYSWa73ClTpui5555TZGRkk2vmz5+vOXPmND6urKwkYaBTsFokff6ZFB1tzlrNymo6KDNTioqSvvhC1nT2+AQQWP76DEBuRmdR55bcA5KlqVOl6mpp8eKmgzIyzPOxsbIU7GLPbQBBQ15Gd2cYUuzWTeaD3Fzzj81m3jNXV0suV+PY6Jy/K37QKJV6mn4PBABdGXkZANrHp8LnF198oeXLl8tiMReIhoWF6bHHHlNqaqpmz54tl8ul3/3ud23+5QkJCQoLC2uyurOkpKTJKtAG/fv314ABAxqLnpJ01llnyePxaPfu3TrjjDOaXBMREaGIiIg2xwf4W+Men8t+LaWlmbNXnU6pvFyKjZXsdiknR8rNlfuxJ9jjE0DA+eszALkZnYXHIx0ac57sH7wnZWc3Pyg725yIlJYmd62bfAwgaMjL6O6sFil8d773QZfLvEc+gaWwUKnFX6u037mBCQ4AAoS8DADt41Ph0+l0KioqqsnxWbNmKSwsTHfccYfq6+t1xx13tOmXh4eHa+TIkdqwYYMmTZrUeHzDhg2aOHFis9eMHz9er732mqqrqxUdHS1J+vbbb2WxWJScnNym3w8Em8cjVY4YI7t00tmsFSPGsMcngIDz12cAoFM5XNty0bNBVpY0dqwqRpxPPgYQNORldHe93U4ZR7/rOanYWPX6eKOMq84lNwMAAKCRT4XP1NRUffbZZ7rwwgubnLvtttskSXfccYe++OKLNgcwZ84c3XzzzRo1apTGjh2r3/72tyooKNDs2bMlmUv79+zZo5dfflmSNG3aNP3iF7/QbbfdpkceeUQHDhzQAw88oNtvv73ZNreAr7LyDgXl9+Y7hinhxumyvrrKPNDMbNa6aTcp3zE8CNEBCHX+/AwAtCZQedkwpMituT6N9Rw8qLKUMyS+XAUQJORlBEug8vLAgjwZ4eHNn7TZpJ49paoq877Zbpd1dyEt6AEAAODF4sug9PR0rV69usXzt912m37/+99r69atbQ7g+uuv19KlS/Xoo4/qnHPOUU5OjrKzszVw4EBJUnFxsQoKChrHR0dHa8OGDTp48KBGjRql6dOn66qrrtIzzzzT5t8NdBpnf9dsodeczEzpbIqeAILDn58BgM7AapEsRbt9GmscOKD44p1+jggAWkZeRndmGFLPrR9J//qXNHnysROjR0v33y/NmiVddpn5c/Fiaf9+We09lFxdFLSYAQAA0Pn4tOKzYTXlgQMHlJCQ0OyYW2+9VVFRUco+WZuwZtx111266667mj23YsWKJseGDh2qDRs2tPn3AJ3RwII8WefPa3WPT+u8eUo9e6zKHGnBDhdAiPH3ZwAg2OrcknuAj9slREaqV+5GGVfTUg9AcJCX0Z1ZLZJlz25p40bpueek2lopKsrcBmbx4qYXZGTI8v3va/DTj6hi3lKViS5gAAAA8LHwOWLECI0YMeKk46677jpdd9117Q4KCBWGIcVs/ch8cJI9PmO2bJKRksYXrQACis8A6O48HqmqYb/tk7HbZdmzm5Z6AIKGvIzurM4tuZOOTkb6wx+kSZOkjz9ueR/u7GzJZlN4UZFSC/OYKAwAAABJPra6BeAfVotk2VcsxcWZBU/p2B6fxxU9JclSXCQr/8UCANDh8pOHyT1lSuuDMjOlnBy5+yepzh2YuAAACCUej1Q5Yoz5YPNmKSJCeuON1i9av15KTzcnChv+jxEAAACdH2UUIEji5dTZ+bkK793LnMl6553mviWjRzc7ni9aAQDwjwOyq/qOH7a+33ZUlJSbq4oRY+i+AACAn+Q7hunItJvMicHbtvl2kdMpS8k+JgoDAABAko+tbgF0rEHOIp3x1ouyuY5INTVmW9vwcPPk978vpaZKa9d6XcMXrQAA+M9/kr6rkd/9nmxDhza737Zyc1U7fYbyHcODHSoAAN1Wqezafu8CDe7ZU+FlZb5dVF4u96ihTBQGAACAJAqfQMDFy6kh/3xd1s8+bX6vkowMKS3N/JObK0l80QoAgJ+Vyq5tk27XGc8skG3dm1K/ftLevWYRVJJr+s3acc9DKlNkcAMFAKCb22lPUuXdj2nUG8/59qVVbKwqhp3LRGEAAABIovAJBNwZJV/L+n5O80VPyTxuGNLUqY2rS/iiFQAA/7Nb6hV2QbrkSJb27ZPi46VBg8ziZ2l5sMMDACBklHoidSDtAvXzYWz9mUOVnzzM7zEBAACga6DwCQSQYUgx+d+2XPRskJUl98SJ2veXHOUnD6PoCQCAnw137lLKL38mY926piczMmSLjtbgZx5Rxbyl5GUAAAIg3zFMcdNuUvjqlS2O8UyerMLxV5CbAQAA0KhNhc/9+/frhRdeUE5OjoqKiiRJSUlJuuiii/Q///M/io+P90uQQHdhs0iWb7/xbfCOHco77yYdqfdvTADgCz4DoDuLl1PJTz3afNFTMicsZWYqvGSnUgvzVOZIC2yAAHAC8jJCQeN+n4ah8FWvNDlff+M0Fd73kL7s4QhCdAAAAOisfC58/uMf/9C1116ryspKhYWFKSEhQR6PR998843+/ve/a/HixVq3bp3S09P9GS/QtRmSDhzwbWxpmTkeAIKMzwDo7lIL8xT2x1dbH5SVJc2dq5gtm2SkpLGPGICgIS8jlOy0J6li3lKlTp+lmC2bZCkukjspSZXnjtFOx3BWegIAAKAJiy+D9u/fr+uvv14xMTFau3atKioqVFxcrL1796qiokJ//OMfFRUVpSlTpqi0tNTfMQNdlqtecqcM9Gms2+GQi9WeAIKMzwDo7gxD6rX1I98GO52ylOyT1adP0ADQ8cjLCCWGIdnCpHIjUlscafrXNXcr54cL9a+Jd+sTRxpFTwAAADTLpxWfy5cvV319vT744AMlJyd7nbPb7Zo6darGjBmj733ve1q+fLl+8pOf+CVYoKvzeKTKtPMU58PYirTzgr6aJCvvUHAD6KJ8fd8yh3Ojjs6PzwDo7qwWybJnt/dBm03q2VOqqpJcrmPHy8vlHjVUde7AxtiAvHxqyMvoTsjLCAXxciq18Ev12rJJlqLdciclq3LkWO0eOEwl7sig3yc3IC+fOl/eO/IyAAA4VT4VPt955x3dfvvtTW6sjpeSkqLbbrtNf/3rX7m5AlrxreNsjbpxuqyvrmpxTN20m/St43t+i4EbNAC+4jMAurs6t+ROOvr3e/RoKT1dqqmRysqkuDgpKkrKyZE2b5ZiY1Ux7NwO/8KVvAzAV+RldHeDnEUa/PQCha9eaR4YPVpKj5D97VeV6HTKNXiIykaep3zHMJXK7pcYyMsAAABdm0+Fz6+++kp33333Scedf/75evXVk+yPBIS4Utn17X2P6AyLIduqlU3Ou266Wf+992GVG5FSJ5nJCiB08RkA3Z3HI1WOGCP71KlSdbW0eHHTQRkZ0tSpqj9zqPKThwU+SAA4iryM7ixeTu+i5wm52ZAULqmfpLhpN2n7vQu0054UrHABAADQSflU+Dx48KD69u170nF9+/bVwYMH2xsT0O3ttCepYt7TSp1+h2K2blJYUZE8Sf2loUOl/Qc08KWn5UhKVuWIMX6dyQoAJ8NnAISCMsdgJbpcMrKzmx+QnS3PpEkqOX8C+4kBCCryMrqzgQV53is9q6ulFnJz+OqVGmwYqpi3lNwMAAAALz4VPmtra2Wz2U7+ZFarjhw50u6ggFBQpkiVOdJkGZimwa4SDVz6qMIfnOc1xi5msgIILj4DIBTEFmyTsW5dq2OMdesUdftsKXVggKICgKbIy+iuDEOK2frRsQPnny8tWdLqNeGrXlHq9Fkqc6T5OToAAAB0JT4VPiXpm2++kdXa+vCvv/663QEBoSJeTqUWfqneWz5UxLavZNjt0v33H9tH7ChmsgIINj4DoDtr8kVrK6Jz/q74QaNU6iEfAwge8jK6I6tFshTtNh/YbJLTeeyfe/aUqqokl6vJdTFbNslISevw/bcBAADQdflc+Lz11ltPOsbj8cgwjPbEA4SEQc4i771Ljnd0HzGtXdt4iJmsAIKJzwDozry+aD0JS2GhUou/Vmm/c/0cFQC0jLyM7qjOLbmTks0HPXtKvXqZE4NraqSyMikuToqKajJR2FJcJKtFctUHKXAAAAB0Oj4VPl966SV/xwGEjHg5vYueJ85gzc6WMjOltDQpN7fxOmayAggGPgOgu6tzS+4Byb4Njo1Vr9yNMq4+l3wMICjIy+iuPB6pcsQY2SXp8sulbdukN99sOvCEicLu/kmqcwc0VAAAAHRyPhU+b7nlFn/HAYSMgQV5ZtFz9GgpPb35GaxZWdLcuV6FT2ayAggGPgOgu/N4pKqGL1obtNRWz26XZc9u8jGAoCEvozvLdwxT/PyfyfbZp+aE4OacMFG4YsQYJiMBAADAi0+Fz2uuuUazZs1SRkaGLBaLv2MCuq3GfcSmTpWqq6XFi5sOapjB6nSaX7we/cKVmawAgoHPAAgF+cnD1GfKFFkKClqelNSnj5STI/fEKeRjAEFDXkZ3Viq7Do1Ll23h460PPDpRuHbIWcp3DA9McAAAAOgyfLpTeueddzRx4kQlJydr/vz5+vbbb/0dF9AtWS1SmOE2i56tzWCtqTH3NImObjzMTFYAwcBnAISCA7LryJ0/lPr3NyclPf+8tGaN+XPxYvP4uHGsLAEQdORldGeGIVk/+6zpCZvNnIxkszUeclss2nHvQypTZAAjBAAAQFfg04rPffv26dVXX9WLL76oJ554QosWLdJ5552n22+/Xdddd53sdvvJnwQIkqy8Q8EOoVGdWwrrl9hy0bNBVpa58rO6WpJUO30GM1kBBAWfAdDROlNebhAvp8Je+r20fn3zA9avl+rqdGT+z8nHAIKKvIyO1pnystUiWYp2HzvQyvYwdc5a7Y5Okmg9DwAAgBP4tOKzZ8+e+p//+R9t2rRJ//nPfzR37lxt27ZNt912m/r3768777xTH330kb9jBbqH3btPPkaSCgslmUXPHfcwkxVAcPAZAKFgYEGebKtXtT4oK0uHx51PPgYQVORldGd1bsmdlGw+mDpVSkhovhNDQoI0ciSt5wEAANCsNm8KMnToUC1atEiFhYVav369LrnkEq1YsULjxo3TsGHD9OSTT/ojTqBbsFok974Sn8a6y8q0N/tf2jLvKe20J/k5MgA4OT4DoDtq3H/bBz0+/ViG4eeAAMBH5GV0Nx6PVDlijLnS8yTbw4Rt+KtiPZ1ntSoAAAA6jzYXPhuEhYXpqquu0ptvvqk9e/Zozpw5+vrrr/XAAw90ZHxAt1LnluqSHD6NPTzwdG3pfy4rSwB0OnwGQHfSpK1eK2w7tquP5bCfIwKAtiEvozvJdwxT/Y3TTro9TNirryq1MC9AUQEAAKAr8WmPz5bU1dXp7bff1osvvqh33nlHHo9H5557bkfFBnQ7DTNYfdl5J7xfH40oyFW+Y5hKfboCAAKHzwDoLrza6p2EEdlDybvyVJI8ys9RAUDbkJfRXZQZdtVX1yjMh7ExWzbJSEmTx+P3sAAAANCFnNKKzy+++EI//vGPlZSUpClTpujDDz/UnXfeqS1btuiTTz7p6BiBbiXfMUxHpt3U+qDMTFl/87z6ZVygEQvv0yBnUWCCA4CT4DMAupvGtnq+sNsV88mHtLsF0GmQl9HdWC2Su3ivT2Mj9uxSHwvtbgEAAODN5xWfFRUVWrVqlV566SVt2bJFknTRRRdp5syZmjx5siIiIvwWJNCdlMqu7fcu0GDDUPiqV5oOyMyUoqKk3FxJUvjqlRpsGKqYt5S2twCCgs8A6O4KBw5T4uTJMt58s+VBmZlSTo4so8fJapFc9YGLDwCOR15Gd9aWTgxhUXZ9b+Ecbf/R/9NOe5KfIwMAAEBX4VPhc9q0aXrrrbd0+PBhJScn68EHH9Ttt9+u1NRUP4cHdE877UmqmLdUqdNnqU/ue7J+9R8pNlay26WcnMaiZ4PwVa8odfoslTnSghQxgFDFZwCEgv0eu1w/mKjw2lopK0uy2aSePaWqKsnl8pqU5J44RXXuYEcMIFSRl9HdtWV7GCUmKvy99zT4mUeYKAwAAIBGPhU+33jjDV199dWaOXOmLr/8chn09wLarUyRKk9J04Wfbpb1b3+TqqvNL1dbwP4lAIKBzwAIBR6PVNYvVf3i46Xf/EbauVPau1fq108aNEjauFF6+WVJUsWIMeRiAEFDXkYoyHcMU58bblTYH19teVBmprR2rZServAlS5goDAAAgEY+FT737NmjhIQEf8cChByrRbLsLpDKy0861lJcRGs9AAHHZwCEitr4vvJUVcmYPbvpyYwMaepU1dp6KN8xPPDBAcBR5GWEgjLDrvoJVyisqtLsxHCi47eHGTVKstmYKAwAAIBGPhU+W7qxKisr06JFi5SXl6cBAwbonnvu0bBhwzo0QKA7a8v+Je7+SbTWAxBwfAZAKIiXU/2f/j8Z69Y1PyA7W57Jk1X8wIO00QMQVORlhAKrRXJ//LFUUiLNnSs5neZk4ea2hykvl6KjmSgMAACARj4VPu+//36tXbtWBQUFjcdqamqUlpam/Px8eY5OqfvjH/+ozZs368wzz/RPtEA305b9S2itByAY+AyAUDCwIE/hq1e2OsZ4801FzLpXcjgCFBUANEVeRihonCCcm2v+sdmk6Ojmt4eJjZWqq5koDAAAgEYWXwZt3LhRN9xwg9exZ599Vjt37tR9992ngwcPauPGjYqOjtYvf/lLvwQKdFf5jmE6Mu2mVsfUTp9Baz0AQcFnAHR3hiHFbP3Ip7ExWzaJ7fQABBN5GaGgYYJwI5fLXNl5YtFTMleAulw6NII2twAAADD5VPj873//q1GjRnkd+9Of/qQ+ffpo0aJF6tWrl8aMGaM5c+boX//6lz/iBLqtUtlVdtcceSZPbva8Z/Jklf/vfbTWAxAUfAZAd2e1SJai3T6NbWijBwDBQl5GqChzDJZn0qTWB02aZLbDzcyUInoEJjAAAAB0ej59dXPw4EH179+/8XFdXZ1yc3N14YUXKiwsrPH4ueeeq+Li4o6PEujG4uVUwnNLZBQWmvuX/O//SjfcYP6cO1dGYaESlj2pOB0KdqgAQhCfAdDdNbvfts0mxcWZP49DGz0AwUZeRqhILPhGhs1mFjWbk5lp5umzz5aiohT54ft0ZQAAAIAkH/f4TExM9Lpp2rJli1wuV5OZphaLRRERER0bIdDNnVH4hax/+4tUVdXi/iXW3FwNuel2bXKMOcmzAUDH4jMAujuv/bZHj5bS06WaGqmszCx+RkVJOTnS5s2q+945tNEDEFTkZYSCQYeKFPvuX6S1a6W0NHOCsNNptruNjTXb2+bkmPfPSUnSunWy9Okvq0Vy1Qc7egAAAASbT4XPkSNH6ne/+52uu+46GYahVatWyTAMXXLJJV7jvv76a6/ZpwBaFi+nUgu/VNy/N0iXXdbky9UTxeT+W0bKGL5wBRBQfAZAKMh3DFPCwl/K+n6OtHhx0wEZGdLDDytyY47iUkfRfh5A0JCX0d3Fy6nBv18sS0W5eSA3t8UJwpKkvXul6Gi6MgAAAKCRT4XPn/70pxo/frzOPPNMJSQkaNOmTTr//PM1YsQIr3F/+tOflJaW5pdAge5kkLNIg59eoPDVK5uezMiQpk41Z7cex1JYKFuYdKQuQEECgPgMgNBh+ewzKTu7+ZPZ2VKPHrIVFir1/Akqc/B3HUBwkJfR3Q0syFP4S8ulWbO8T7hc5orPE8XGStXVqhjBJGEAAACYfNrj8/vf/77Wr1+vpKQkVVVVadasWVq3bp3XmL1792r37t2aOHGiXwIFuot4OVsuekrml6s1NWZLH68L4yRu5AAEGJ8BEApSC/Nk+eOrrQ96800pPV0xWzaxhxiAoCEvozszDClm60dmkTMqyjzYwr7bjex2uabeoHzH8MAFCgAAgE7NpxWfkpSZmanMljaVl9SvXz999tlnHRIU4IusvEPBDuGUDCzIa7no2SAry9zHJDe38ZB7yJly0boHQBDwGQC+6Kp52TCkXls/8m2w0ymLax97iAEIKvIyfNXVcrPVIlmKdpsPSkqkJ5+Utm1rdt9tSVJmpnTkiA7NuJ029AAAAGjkc+ETQPs1zmBtYLNJPXtKVVXe+5RIktNpnne5pMxMVaQOpXUPAAAdzGqRLHt2ex9sKT+Xl8s9aih7iAEA4Ad1bsmdlGxu/XLggDRnTtNBDVvD1NdLF18srVgha2KyjGu+z/0yAAAAJFH4BAKqcQbr6NFSerrZ0ral2avl5VJ0tDRunOrOT9e3fc8MbvAAAHRDjV+ySifPz7Gxqhh2Ll+sAgDgBx6PdGjsebJvfK/1fbenTDEnKP3wh5Iky+hxdGMAAABAIwqfQADVuSXLqFFS/g5p8eKmAxpmr65dKw0cKN1xh46EhWv7RdfSugcAAD/weKTKEWNknzpVqq5uNT97Bg9WafLgwAcJAECoOFzbctGzweuvm1vDHOXun0Q3BgAAADSyBDsASVq2bJkGDRqkHj16aOTIkXr//fd9uu6DDz6Q1WrVOeec498AgQ4S53Eq7J2/tj57taZGSktT3ZChKr4wU59M+7F22pMCGygAACGkzDFYHper9fzscsmQFF+4LaCxAQAQKgxDitya69vghq1hJFWMGEM3BgAAADQKeuFzzZo1uu+++/Tggw9q69atOv/883XllVeqoKCg1esqKio0Y8YMXXLJJQGKFGi/gQV5Cvvjq60PyspS/fSb9PH3r9YWRxorPQEA8LO4wm0y1q1rfdC6dVJRkWK2bJJhBCYuAABCSePWML44ujVM7fQZyncM929gAAAA6FKC3ur2ySef1MyZMzVr1ixJ0tKlS/W3v/1Nzz//vBYuXNjidXfeeaemTZumsLAwvfXWWwGKtm2y8g4FOwR0IoYhxWz9yPugzWbuTVJVJblcx8aWlSq18Esp+TsqlT3AkQJA90ReRnMMQ+p1Yn5uidMpi2sf+4gBQAcgL+NEXvtun0xsrGqvukY7fvggk4UBAADgJaiFzyNHjuiTTz7RvHnzvI5PmDBBGzdubPG6l156STt27NDKlSv12GOPnfT31NbWqra2tvFxZWXlqQcNnCKv2aujR0vp6WZb27IyKS5OioqScnKkzZtl+fZb9fv1rxV3Zaa237uAVrcAuh1yMzoLq0Wy7PF9dYl71FD2EQPQ7ZCX0Rk07rvtw9hDl16uT4ecT9ETQLdEXgaA9glqq9sDBw6ovr5eiYmJXscTExO1d+/eZq/Ztm2b5s2bp1WrVslq9a1uu3DhQsXExDT+cTgc7Y4daKvG2atTp0oJCdLixdLzz0tr1pg/Fy82j0+dKsXGStXVCl+9UoOfeURxYjY0gO6F3IzOoq2rSyqGncs+YgC6HfIyOot8xzAdmXZTq2Nqb5pB0RNAt0ZeBoD2Cfoen5JknLBRksfjaXJMkurr6zVt2jQ98sgjGjJkiM/PP3/+fFVUVDT+KSwsbHfMQFt5PNKhsedJ1dVSdnbzg7KzzVWgp53W2Po2fNUrSi3MC2CkAOB/5GZ0Fg2rS7zYbGY3BpvN63D9mUOVnzwsgNEBQGCQl9FZlMqu7fcu0JHpNzd7vnb6DO24+yGKngC6NfIyALRPUFvdJiQkKCwsrMnqzpKSkiarQCWpqqpKH3/8sbZu3aof/ehHkiS32y2PxyOr1ap33nlHF198cZPrIiIiFBER4Z8XAbTF4dqWi54NsrKksWO9DsVs2SQjJY0VJgC6DXIzOpN8xzDFTbtJ4du/bbEVvSc5WYXjr+CLVgDdEnkZnclOe5Iq5i1V6vRZitmySZbiIrn7J6lixBjlO4aTiwF0e+RlAGifoBY+w8PDNXLkSG3YsEGTJk1qPL5hwwZNnDixyfhevXrpiy++8Dq2bNky/fOf/9Trr7+uQYMG+T1m4FQZhhS5Nde3wXv2mKtMjq76tBQXyWqRXPV+DBAAgBBVKrvK7pqjxCW/kLF4cdMB11wj9/XXy+kOC3xwAACEoDJFqsyRJiMlTVaL2ZqeicAAAADwRVALn5I0Z84c3XzzzRo1apTGjh2r3/72tyooKNDs2bMlmUv79+zZo5dfflkWi0XDhw/3ur5v377q0aNHk+NAZ2O1SJai3b4NLi+XoqPNn5Lc/ZNU5/ZjcAAAhLB4ORW/bImMdeuaH/DWWwpzuXTG2Z+rYtocVpoAABAgHg8TgAEAANA2QS98Xn/99SotLdWjjz6q4uJiDR8+XNnZ2Ro4cKAkqbi4WAUFBUGOEmi/OrfkTkr2bXBsrLkX6FEVI8YwuxUAAD8ZWJAn2+pVrQ/KypJt6FClFuapzJEWmMAAAIAks4MSKz8BAADgi6AXPiXprrvu0l133dXsuRUrVrR67YIFC7RgwYKODwroYB6PVDlijOy+DLbbG9vc1k6foXwHK5oBAPAHw5BiPv3It8FOp2I+3cy+2wAABEi8nEot/FK9PtssS9kBuWMTVHnOaOU7hqnUt7trAAAAhJhOUfgEQkW+Y5jipt2k8NUrWx6UmSnl5EiSPJMnq/x/76OlHgAAfmK1SGF7fG9Fb4kuY99tAAACYLhzl5LX/UFhdXVSTY1UViZVV8petk/xtr9p2zW3a6c9KdhhAgAAoJOh8AkEUKns2n7vAg02DIWveqXpgGuvlUaOlAoLpfR0GTk5inv+KcXNW0rxEwAAP6hzS/UDfG9F746NY99tAAD8bNjhQqW887qMzz+XsrObnLdlZGhIzOuqyLyDe2UAAAB4ofAJBNhOe5Iq5i1V6vRZ6pP7nqxf/cfc09NulzZulP75T3N/z6OtbsNzc5U6fRb7iQEA4Acej1R5ru+t6CvOGU2bWwAA/CheTjm+3CTjww+bLXpKkrKzZTUMDUlL16a+5wQ0PgAAAHRulmAHAISiMkVqa0qajtgipb/9Tfr976UlS6QPP5TKyxuLng1itmySYQQpWAAAurl8xzDVTZve+qDMTHk8HpU6zghMUAAAhKiBhV8qrLqq5aJng6wsxeR/zb0yAAAAvFD4BILEapEsuwuaLXSeyFJcJCv/tQIA4Belsst5yyxp8mTzgM0mxcWZPyVz/+1Ro2Ts3q34wm3BCxQAgG7OMKSYbz6X8vN9Gm/59hvZuFcGAADAcWh1CwRJnVtyJ/m2p5i7fxL7iQEA4CeGIVlzN0vR0dLy5dL27VJxsdSvn/Sd75gTlH7zGyk3VzFnj5SRkka7WwAA/MBqkSx7i6XSUt8uKC2TWPEJAACA41D4BILE45EqR/i2p1jFiDF8wQoAgJ9YLZItOlI6cECaObPpgIwMadAgKTe3sQuDqz7wcQIA0N3VuSV3TKxk+Dbz1+1wkJMBAADghYYgQBCVOQbLM2lSq2M8kyeznxgAAH4UU+9U2L9zWt5LLDtbqqmR0tLowgAAgB95PNLhc0ZKPXv6NL4i7TwmCQMAAMALhU8giGILtsmw2cy9w5qTmSnDamU/MQAA/CilIE+W119vfVBWlpSeThcGAAD8zBMRLu3dK51kkrD7xmn61vG9AEUFAACAroJWt0CQGIYU81mu9Pe/S2eeKc2dKzmdUnm5FBsr2e1STg77iQEA4EeGIcVs/cinsR7Dol0pwyXyMQAAfmEYUuSHH0j79klnny253dL69U0HTpmiussuV7kRSV4GAACAFwqfQBDEy6lBhV+qR8UB6bLLpLg48w7vs8+kr76Sqqsll6txPPuJAQDgH1aLZCna7dvgioMKsxgS+RgAAL9ozMtr10ppadLUqdKECVJ+vlRWJvXtK0VFSevXy/3JFlnHXMd9MgAAALxQ+AQCbJCzSIOfXqDw1SubnszIMAuha9d6HWY/MQAA/KPOLbmTko8dsNnMfcWqqrwmIUmSYbUqeVeeSpJHBThKAABCg1de/vRTaccO6fBhKTraPFZe3pif3ROncJ8MAACAJih8AgEUL2fLRU9Jys429/tMS5NycxsPs58YAAD+4fFIlSPGyD56tJSeLtXUmCtK4uLMFSU5OdLmzeZgu10xn3wowzGKvAwAgB94PNKhsefJfv/9zefkkpLGsdwnAwAAoDkUPoEAGliQ13LRs0FWlrnf59HCZ+30Gcp3DA9AdAAAhKYjCX3lSUqSsXhx05MZGWabvZoaKSdHltHjaD8PAICfDHIWqdfyZdLqVccONnRjOO88MyevXct9MgAAAFpE4RMIEMOQYrZ+5Ntgp1Oy2VQ79UbtuOchlSnSv8EBABCi4uVUv6X/J+Ott5ofkJ0tXXON9J3vSFlZtNUDAMBPGjok2RqKns11Yzj9dLnGnacdYzO4TwYAAECzKHwCAWK1SJai3T6NdbvqVJL9L+3sN5SbOQAA/MinbgxvvWV2YxBt9QAA8BevnHzjjZLbLT39tPee2zabwm65RRqXEZwgAQAA0OlR+AQCpM4tuZOSfRp7eNBgbel/Ll+sAgDgR23txlB38y201QMAwA8ac/Lo0dLEieYKz927pVmzzP09S0slh0MqK5Nl/34Nfe0F9bvoSn3rOFulsgc7fAAAAHQilmAHAIQKj0eqHDHGp7Hh/fpoREGu4uX0c1QAAISutnRjkNMpjTzXvwEBABCirBbJFh0pJSRIDz4oLVkirVkjffKJOSAuTtq1S6qvlxwOWd57T3EZF2vEwvs0yFkU3OABAADQqbDiEwigfMcwxU27qfWWepmZsv7mefXLzVXctJu0/d4F2mlPClyQAACEiLZ0Y1BsrKwPPKDU9eeqzJHm38AAAAgxMfVOhf07x9xbu8HUqVJ1tbR4cdMLMjKkqVMVvnqlBhuGKuYtZZsYAAAASGLFJxBQpbJr+70LdGT6zc0PyMw02/jk5kqSeRP3zCOK06EARgkAQGhothuDzWauKrHZvI+HhUkul2K2bJJhBC5GAABCQUpBniyvv37swOjRZtHz+ELo8bKzpZoaKS1N4ateUWphXmACBQAAQKfHik8gwHbak1Qxb6lSp89Sn0/el3VXvtSjhxQRIeXkNBY9G4SvekWp02exugQAAD9o7Maw/VspPd38ErWszCx+RkWZublPH/OnJEtxkawWyVUf5MABAOgmmt1z+/zzzXa3rcnKkubOlXJzzYlJKWnyePwXJwAAALoGCp9AEBjyyJBkOXTI/II1PNy822thCQk3cQAA+Eep7Cq/a476Ln5URnOt9CZONFedPPigJMndP0l17gAHCQBAN9Zkz22bzdxb22aTevaUqqokl6v5i4+OY2ISAAAAGlD4BAJskLNIg59e0Pw+n0f3KdHatV6HuYkDAMA/4uVU7LInZbz1VvMD1q+X6uqktDQpN1cVI8YwEQkAgA7UZM/tCy6QhgyRZs1q2oVh82bvi8vLpehouZOYmAQAAAAThU8ggOLlbLnoKZn7lGRmNn652oDVJQAA+MfAgryW83KDo630aoecpXzH8MAEBgBAiGjYc9sumROBq6ulH/+46cDmJgrHxkrV1apiYhIAAACOsgQ7ACCU+Pzlanq61yFWlwAA0PGa3VOsBR7DUPldP1aZIv0cFQAAoSffMUyu+T8zi57Z2c0Pys42t4pJSzt2zG6XZ/Jk7WRiEgAAAI6i8AkESFu+XG3cz0RS7fQZrC4BAMAPmuwp1gpj3z7F/eEFxemQn6MCACD0lMquQ+PSWy56Njh+onBmpnTkiDznnMNEYQAAADSi8AkESFu+XG3Yp6R2+gztuOchVpcAAOAHTfYUa010tMJfWq7Uwjz/BgUAQAgyDMn62We+DXY6peuvN1vfbtoky/z55GcAAAA0Yo9PIECa/XLVZpN69pSqqiSXq/Gw+7TTtW/1euUnD6PoCQCAn3jtKXYydrvkcilmyyYZKWmsLAEAoAO1aaLwkSPmZOEf/rDxEPkZAAAADSh8AgHi9eXq6NFme56aGqmsTIqLk6KipJwcafNmlZw3QVuSRwU7ZAAAur18xzDFTbvp2B7czU1Kysw0c7QkS3GRrBbJVR+kgAEA6Iba1IWhZ0/p3Xe9DpGfAQAA0IDCJxBA+Y5hSlj4S1nfz5EWL246ICNDdb98QjvZ0xMAgIAolV077lugoQP6y/B4mk5Kqq2V9u2TcnPNC/r3V507uDEDANDdtKkLQ1KSNGmStHZt4yF3/yTyMwAAACRR+AQC7/MvpOzs5s9lZ0u946TMwIYEAEAo83gkFRZKf/xj05NXXy316HFs7FlDaaMHAIAfNOnC0Jxrr5UsFikxUUpLa5yYVDFiDPkZAAAAkiRLsAMAQsnAgjxZX13V6hjr6pVKLcwLUEQAAIS2eDk1+OkFMporekrS22+bq0DT0qTMTBn7D8gwAhsjAAChoFR2bb93gepvvNE8YLOZHRhsNvNxZqYUFibdf7+0Y4d0662SpNrpM5RP1yQAAAAcxYpPIEAMQ4rZ+pFPY2O2bpKRksaMVQAA/GxgQV7rK0skKStL+tWvzFUlX3whazp7iAEA4A/5UUk6/epJCrv0UmnbNqm4WOrXTxo0SNq4UXr5ZXNgdrZkt6v+5ZUqPitNZYoMbuAAAADoNCh8AgFitUiWot0+je2xc7tGFm/Vzn5nqtS3XU4AAEAbtWVSkvbskdatk/vhx9hDDAAAPzn9UJHCX/uj9OabTU9mZEhTpx7b2/P11xU2eLCS/vpXOe9doJ32pMAGCwAAgE6JVrdAgNS5JXdSsk9jLTarEjMu1IiF92mQs8jPkQEAEJraMilJe/dK0dHsIQYAgJ/Ey6lBTy2Q0VzRUzJXeTa0n29QWanw19bozKX/T6kqD0ygAAAA6NQofAIB4vFIlSPGeB88cc+SBna75HIpfPVKDX7mEcXpUOACBQAgRLRlUpJiY+W57DKVOs7wb1AAAIQon9vPp6cfe3zwoBQbq7BXX9XQf7zGxGEAAADQ6hYIpHzHMMVNu0nh2781b9ZqaqSyMrP4GRUl5eRIffuae5ccFb7qFaVOn6UyR1orzwwAANqqYVKST03lTztNRmmp4gu3aRc5GQCADtWm9vNOpzl52OWSkpLM9rc9eiisulqDn3tMFQ8sYc9PAACAEEbhEwigUtlVdtccJS75hYzFi82btZ49paoq86btmmukiROlzZul8ePNQujmzYrZsklGShqt9QAA6GCNk5IaVpicmJslacoU6fPPpbVrFXP2SHIyAAAdrE3t58vLpeho86fHIz37rHl80iSFx8QotTCPicMAAAAhjMInEEDxcipu2ZMy9uyR7r+/+RWfr78ulZRIublSRoY0daosxUWyWiRXfbBfAQAA3Uup7Nr54wUaktRPhtQ0N9fWSvv2Sa+8IknkZAAA/KDOLbkHJDc/AelEsbFSdbX0gx+Y99AN1q2TMjMVW7CNSUoAAAAhjMInEEADC/IUXndESkiQFi9uOiAjw/ySNT3dLHxmZ0uZmdLF31WdO/DxAgAQCtweSbsKpNfWNj159dVSjx7HxvZPIicDANDB4jxOWYaeKc2a1XRy8ObN3oPtdmnSJCksTPrzn73PZWXJlpHJJCUAAIAQRuETCBDDkGILt5szU7Ozmx/UUOiMjT22Z0lWljy338FsVQAA/CBeTp2+dIGM5oqekvT222ZuTkuTcnN1aAQrSAAA6EiDnEUa/PSCY23nj3e0C5LWHs3T110n9etn3mC/916zz2fs2aN6cjUAAEDIsgQ7ACBUWC2Srb625aJng6wsc2ZrdHTjIeOrr2UYfg4QAIAQNLAgz/uLVpvNXGVisx07lpVldmPIzJQiejR9EgAAcEri5Wy56CmZ9881NeYEpMxM6ZxzpC1bzA5K6enNXuIpL1cY988AAAAhixWfQIDUeyRjT5Fvg/fuNfcUa1BcTKseAAA6mGFIMVs/Mh+MHm1+gdrc/tsNLfZ69VLUhzkyrjmHVZ8AAHSAJhOQmpOVZe61vWuX9Pnn0sCB0pNPSocPH+uUdBzXgBTa0gMAAIQwCp9AgIQZkqe01LfBBw5IERGS0ymJ/cQAAPAHq0WyFO02W+hVV7e8//bUqVJJifTXv8rWO5bJSAAAdACvCUgns3Gj9Nln0rhxUlWVWQRNTpaWLJFWrvTaB7R8xFgmKAEAAISwTtHqdtmyZRo0aJB69OihkSNH6v33329x7JtvvqnLLrtMffr0Ua9evTR27Fj97W9/C2C0wKmpc0suR6pvg3v2NL+APapixBhu3AAA6GB1bklnf+/k+2/X1EhnnilVV8uIjWXfMAAAOkDjBCRfHDpkFjoXL5aef15as8Yset5zj7nn59SpkqTa6TOU7xjux6gBAADQ2QV9xeeaNWt03333admyZRo/frxeeOEFXXnllfrPf/6jlJSUJuNzcnJ02WWX6fHHH1fv3r310ksv6aqrrtJHH32kc889NwivAPCNxyMdHDFW/XwZHBbW2K6HG7fuKyvvkE/jModH+jkSAAhNHo+kPgm+7b/9gx9ILpc8AwYozJBoxND9kJcBILDq3JI7Kdm3wfHx0qpVzZ97+20pM1NH5v9cO665VWXi/9PdAXkZAACcqqCv+HzyySc1c+ZMzZo1S2eddZaWLl0qh8Oh559/vtnxS5cu1U9+8hOlpaXpjDPO0OOPP64zzjhDf/rTnwIcOdB2+Y5hOjLtptYHZWaa+4nJLHruuOchbtwAAPADw5D01de+Df7mG2niRLnCwmk/DwBAB/B4pMoRY3y/4IS9PL1kZanq/Iu1057U/sAAAADQpQV1xeeRI0f0ySefaN68eV7HJ0yYoI0bN/r0HG63W1VVVYqLi2txTG1trWpraxsfV1ZWnlrAQDuVyq7t9y7QYMNQ+KpXmpx3X3ed6sefL1f1IVU8slj5juEUPQF0S+RmdAZWi6SiPb4NLi+X4uJUk3Ia7ecBdDvkZQRLvmOYEm6cLuurLazmlKRrr22cHNyayC25MlLYJgZA10deBoD2CWrh88CBA6qvr1diYqLX8cTERO3du9en51iyZIlqamo09eh+Ds1ZuHChHnnkkXbFCnSUnfYkVcxbqtTpsxSzZZMsxUVy909SxYgx2jVwuJxhkaqtl9ysJgHQjZGb0Rm0qcVebKy0c6cU0cO/QQFAEJCXEVQXnC+5aqXXX2967gc/kEaMkN5446RPYykuktUiuer9ECMABBB5GQDaJ+h7fEqSYRhejz0eT5NjzXn11Ve1YMECrV+/Xn379m1x3Pz58zVnzpzGx5WVlXI4HKceMNBOZYpUmSNNloFp6mGVouqcStn1pc5e93tZinbLnZSsyhFjlO8YplLZgx0uAHQ4cjM6g4YWez5l2gEDpKIiRX74voxrzmE1CYBuhbyMYPlO0Reyvv22tH+/NHeu5HSaXRZiY6XBg83ju3f79Fzu/km0owfQLZCXAaB9glr4TEhIUFhYWJPVnSUlJU1WgZ5ozZo1mjlzpl577TVdeumlrY6NiIhQREREu+MFOkq8nEot/FK9tmxS+J5dskRFySKP2b5n82ZJkl1S3LSbtP3eBexTAqDbITejs8h3DFPctJsUvnply4OmTJE+/1xau1aWPv1ZTQKg2yEvIxgS5FT0756TsrPNA7m5ks0mRUdL1dXmnp6TJ0vjxvn0fBUjaHMLoHsgLwNA+1iC+cvDw8M1cuRIbdiwwev4hg0bNK6VD7avvvqqbr31Vq1evVqZmZn+DhPoUIOcRRqx8D71y7hA9p//VNbnl8my+FfS4sVSQoJ0XNvm8NUrNfiZRxSnQ0GMGACA7qtUdu24b4Hc113X/IDMTMlikV4x9+ZmNQkAAB0jtTBPlhPb27pc5opPl8t8/OabUmKidPfdrT6Xa/rNyncM91OkAAAA6EqC3up2zpw5uvnmmzVq1CiNHTtWv/3tb1VQUKDZs2dLMpf279mzRy+//LIks+g5Y8YMPf300xozZkzjatHIyEjFxMQE7XUAvoiXU4OfXtDyqpLsbPML1rQ0c7arpPBVryh1+iyVOdICGCkAAKHjv5FJ6jv7x4pPSfFusWe3m90YjuZkidUkAAB0BMOQem79yLfBGzdKBw9Kjz0m/fznTc9PmiTLZZcoxlmuMntkh8YJAACArifohc/rr79epaWlevTRR1VcXKzhw4crOztbAwcOlCQVFxeroKCgcfwLL7yguro6/fCHP9QPf/jDxuO33HKLVqxYEejwgTYZWJDXeis9ScrKMvc2Oe5L1pgtm2SkpPFFKwAAfrKt7xD1LN6n8NfWeLfYO07t9BmsJgEAoANYLZJlj297d6q6WvrrX83JSU89JW3bJpWVeU1SCnvtNZ1x9jZVTJujMlH8BAAACGVBL3xK0l133aW77rqr2XMnFjP/9a9/+T8gwA8MQ4rxdUar02nubXL0C1dLcRH7iQEA4Eelsmv7vQs02DAUvuqVJudrp8/Qjnse4stUAAA6QJ1bcicl+za4b1/piiukV1+VBg+Wfve7Zicp2YYOVWphHt2SAAAAQlynKHwCocBqkSxFPs5oLS83b+TKyyWxnxgAAIGw056kinlLlTp9lmK2bJKluEju/kmqGDFG+Y7hFD0BAOggHo9UOWKM7L5eUFlpbgnjdJqPj94re3E6FfPpZrolAQAAhDgKn0CAtGlGa2ysOXv1KPYTAwAgMMoUqTJHmoyUNFktZv4mBwMA0PHyHcMUN+2m1reDycw8tt/23LnSnj1ek4S9lJfLEl1GtyQAAIAQZwl2AECoaJjR6sVmk+LizJ/Hs9sbW/awnxgAAIHn8ZhfmlL0BADAP0pl1477Fsh93XXND8jMlKKizKKnZK72TEjwmiTsJTZW7tg4uiUBAACEOFZ8AgHUOKN1+7dSerpUUyOVlZnFz6gocyZrnz7mT0mu6TeznxgAAAAAoFsqjE7Sad8boYiUFLOwWV5udkCy24+t9GxQXm7u8Xncvp5e7HZVnDOaSUsAAAAhjsInEEClsqvsrjlKXPILGYsXNx1wzTXSxInS5s1mYdQWEfAYAQAAAAAIhDq3VG9YpCVLzE5I0dHmis7mipsDBkj/+EfzT5SZqSPhkXRLAgAAAIVPIJDi5VTcsidlrFvX/IC33pLq6qTSUunDD2WTNLiwUBXzlrLqEwAAAADQrXg8UuW5Y2SXzGJnc3t3Njj7bLNAeqLMTNWdn67tF13LfTMAAAAofAKBNLAgT+GrVx47YLNJPXtKVVXHZrT++c/S3LnShx9KksJXvaLU6bNU5kgLQsQAAAAAAPhPmWOwEq+/XsaaNS0PmjhR+uILad06s0PS3r1SfLzcQ4ao/PTh+rbvmRQ9AQAAIInCJxAwhiHFbP3IfDB6dMt7fG7ebO5tYrM1FkNjtmySkZLGXiUAAAAAgG5jkLNIg59eICM5Wbr2WumNN5oOysyUIiKkxYulXbuk00+X+vSR7HaVDx6uTX3OCXjcAAAA6LwofAIBYrVIlqLd0tSp5p4lze3xmZFhni8vN/c2Odrmx1JcJKtFctUHOGgAAAAAAPwgXk4NfnrBsa5IL70kpaaaE4HLy6XYWMluNycI5+aaY157zeyQdLTlba9p2zTo3ke0054UnBcBAACATofCJxAgdW5JZ39PevtNKTu7+UHZ2eZs1rFjvWa6uvsnmdcDAAAAANANeG0FY7OZ3Y+ef9785+hoc8Jww5YwxzuuQ5Jt9SoNNiyqmLeUVrcAAACQJFmCHQAQKjweSX0SWi56NsjKkuLjvW7wKkaMoc0tAAAAAKBb8NoKRpJ69jS3gZHMe+Hy8uaLntKxDklHha96RamFeX6MFgAAAF0JhU8gQAxD0ldf+zb4m2/MGayS6qbdpHzHcP8FBgAAAABAADVuBdOgqkqKi/Pt4thYczXocWK2bDLvuQEAABDyKHwCAWK1SCra433QZjNv7o4WORvt3WvOYM3MlM6m6AkAAAAA6D7q3JKlf79jB1wuKSrKt4vtdvPncffSluIi854bAAAAIY89PoEAqXNL7qRk88Ho0VJ6ulRTY7bziYszb/Jycsx9TQYOlO64Q3r3XVnnzVPq2WNV5kgL7gsAAAAAAKADxHmcCut5rF2tbDbp00+ljIzWt4eZOFHq31+aNcvrXjp80CAlu8u1U7F+jx0AAACdG4VPIEA8HqlyxBjZp0412/IsXtx0UEaGNHWqVF/vdT5myyYZKWns8wkAAAAA6PIGFuQpbPUq6e67pYiIY5OCx4wxV3S+/nrTiyZPlkaOlObPb7L/p+Xaa3VWWZniLsrUJzFDA/QqAAAA0BlR+AQCqMwxWIkul4yGGaw2m9Szp7mfictlzmy95hpp3z6v6xra9rjqAx8zAAAAAAAdxTCkmK0fSamp0u7d0rp1x06uWSOlpUmLFkmVlVJRkdSnjzRkiFkY/fhjc7Xn8R2TJOmNN2QcPqzE8nINvO1+7VLvYLw0AAAAdAIUPoEAii3YJmPdutZb3b71ljR3rveF/furzh2UkAEAAAAA6DBWixRmuM1OSM21tc3NNf/ccIM0frz0wQfSE080HdfQMWndOnNC8TvvyBg6VKd/u1m7hkzw/wsBAABAp0ThEwiQxlmtvrS6dTrN1aBH2/d4zhpKm1sAAAAAQJdX55bC+iW2vpenJP3xj9KoUebP5mRnS1OmSA8/LH3xhTmh+MwzFeGsksUiuZk8DAAAEJIofAIBctJZrZJ5PDNTGjRIio6WysulzEwZ+w/IOFMUPwEAAAAAXZ6xe7dvA3fs8JoU3MTrr0sDB5otchuee9IkjTptmDb3Yq9PAACAUGQJdgBAqPB5VmtWlpSSYhZIMzPNFrhffCEr/7UCAAAAALq4vpZDsvx3h2+Dy8vNScGtaeiYdJSxbp0SljymgTp46kECAACgy6KUAgSSr7Na9+6VfvxjqaREWrtW7v5J7PEJAAAAAOjyBuTnybDbfRscG2tOCm5NM8VR4803dfq3m08xQgAAAHRltLoFAsRqkdz7SnwbnJ8v/fnP5g2cpIoRY2hzCwAAAADo0gxDitmyyexs5Au7veU2tw1aKI5GfJIry9AJ7PUJAAAQYljxCQRInVuqS3L4Njg6uvHGrXb6DOU7hvsxMgAAAAAA/M9qkSxFu6WcHCkjo/XBU6aY406mpeJocbEiwk4tTgAAAHRdFD6BAPF4pMoRY7wP2mxSXJzXfiSSGm/caqfP0I57HlKZIgMXKAAAAAAAflDnltxJydLmzeaE38zM5gdOmSINHCj16dP6E2Zmtlwc7d9ftfXtixcAAABdD61ugQDKdwxT3LSbFL79Wyk9XXI6zXa2sbFmsTMnR57kZHkcKTryxlvaMSRN+YoNdtgAAAAAALRbw4RguyStXSulpUnPPy99/rn3vfH+/dJ//2sWR3/wA3MrmBNlZpotc3Nzm/1dtSPTaHMLAAAQgih8AgFUKrvK7pqjxKf+T8bixU0HTJ4sY8wYGQ/crx4ul86YdpOMexdopz0p8MECAAAAANDBGicEr14pffqpWfT8/e+PbfnickmjR0tXXil9/LFUViY995yUl2cWR/v1k5KSpNdea7Ho6Zk8WTuGjA7sCwMAAECnQOETCKB4OZXw3BIZb7zR/IA33zR/nnOOlJur8NUrNdgwVDFvKe1uAQAAAABdXqns2n7vAg02DIX/JcssbLpcZlGzwfnnS488Yq4ITU83jx1fHJ00Serbt9nn90yerH1zfq5d6u3/FwMAAIBOh8LnKcjKOxTsENBFnVHwuayvrmp90JtvSo891jhzNXzVK0qdPktljrQARAgAXQ95GQCAzoO8DF/stCepcv5Sjbr0Elm//sr7pM1mbgsjmffFubnSuHHShAlSVpZ5vKFN7ty5jVvIeJKTdWR8urYNHkXREwAAIIRZgh0AECoMQ4r5+N++Da6uNm/2jord8qEMw0+BAQAAAAAQYJWWSNXlfqImG3H27GmuAj3exo3mfp6ZmceO5eZKS5ZIv/+9jsTE6uvrZ+vvgy+l6AkAABDiWPEJBEhi2CGFFezyPmizmTd1VVVma58G+/ZJsbFSSYk5bE+BrBbJVR/AgAEAAAAA8JM6t+ROSpbefkPKyJCys80TVVVSXFzTC5pZ5ek+7XSVnDdBOx3D2R4GAAAAkih8AgExyFmkwSuekhEbax4YPdrcp6SmxpzJGhdnzl7NyZE2b5bi472uN2JjVe8JQuAAAAAAAPiBxyNVjhgj+89/Kk2daq7mzMoyJwVHRTV/UUPrW5tNio7WvtXrtSV5VGADBwAAQKdG4RPws3g5NfjpBQrP/690663mDV11tbR4cdPBGRnm+UGDpPLyxsOeAQMUZkjuplcgBPi6T1LmcGY4AwDgb+RlAOg4+Y5hipt2k8JXr/RezWm1SpMnS2++2fyFLpdqM65SfvKwwAaMToe8DAAATkThE/CzgQV5Cq87Io0cKfXrJ9XWHmvhc6LsbOmaa6QePY61vs3MlCssXHVUPQEAAAAA3Uip7Np+7wINNgyFr3rFazWnrrhCnsmTZTRT/KydPkM77nmI9rYAAABogsIn4EeGIcUWbpfOOsu8gUtMlNavb/2it96SRh1t1ZOZKUVFqTzlDHlodQsAAAAA6GZ22pNUMW+pUqfPUsyWTbIUF8ndP0kVI8ao1HGG4mfd2+R4Pnt6AgAAoAUUPgE/slokW3QPs+i5YYM0ZIhvFzqd0k9+Ir37rmqHnKV8x3D/BgoAAAAAQJCUKVJljjQZKWmyWqQ6txon/+5q4TgAAADQHEuwAwC6s3qPZDidZgvbnj3NvT19ceCA9LvfqXbIWbTvAQAAAACEBI9HctU3LW62dBwAAAA4ESs+AT+yGpKxfYf54PBhqX9/n67zJCZq76tvK3/Adyh6AgAAAAAAAAAA+IDCJ+BPhuQpPSBDkuLiJIfDt+scDn05cKRq6/wZHAAAAAAAAAAAQPdBq1vAj1z1kidloPkgOloqKpIyMlq/KDNTKi5WmOH/+AAAAAAAAAAAALoLCp+AH3k8Uv3Z55gPioul2lqzAJqZ2fwFmZlSVJR0+LBq6wMWJgAAAAAAAAAAQJdHq1vAjwxDcu8rkSZNkt57T0pKkhYulNLSpLlzJadTKi+XYmMlu13KyZFyc+V57jlZDInaJwAAAAAAAAAAgG8ofAJ+ZLVI+vwzyWaTLrrILHRmZEjZ2VJurnk8OlqqrpZcLvOizEy5wsJV5w5q6AAAAAAAAAAAAF0KrW4BP6pzS+6kZGntWqmgQIqJ8W5163KZKz6PK3oqKkplKUPk8QQvbgAAAAAAAAAAgK6GFZ+AH3k8UuWIMbJL5gpPw5ASEqT9+1tsdVs75CzlO4YHO3QAAAAAAAAAAIAupVOs+Fy2bJkGDRqkHj16aOTIkXr//fdbHf/ee+9p5MiR6tGjh0477TT95je/CVCkQNvlO4bpyLSbzAebN5srPvv2lZYskX7/e+lvfzN/Llmi2iFnacc9D6lMkcENGgAAAAAAAAAAoIsJ+orPNWvW6L777tOyZcs0fvx4vfDCC7ryyiv1n//8RykpKU3G79y5UxkZGbrjjju0cuVKffDBB7rrrrvUp08fXXvttUF4BUDrSmXX9nsXaLBhKHzVK2bb27S0xhWfnkOH5Tp9sEpHnqd8x3CKngAAAAAAAAAAAKcg6IXPJ598UjNnztSsWbMkSUuXLtXf/vY3Pf/881q4cGGT8b/5zW+UkpKipUuXSpLOOussffzxx1q8eDGFT3RaO+1Jqpi3VKnTZylmyyZZiovkju2rikvHavfA4drv7sGengAAAAAAAAAAAO0Q1MLnkSNH9Mknn2jevHlexydMmKCNGzc2e82HH36oCRMmeB27/PLLtXz5crlcLtlstibX1NbWqra2tvFxRUWFJKmysvKU4nZWHzql6xDanJJ2x54p49IzFWaR6t3mHqCqOCLpSJCjQ3dQWek6hWvM/w96qLwjwDoyN5OXAXRGp5KXzevIzQg88jKA7o68jK6ko7/LBoDuwte8HNTC54EDB1RfX6/ExESv44mJidq7d2+z1+zdu7fZ8XV1dTpw4ID69+/f5JqFCxfqkUceaXLc4XC0I3oA6D6qqqoUExMT7DAQQsjNANA6cjMCibwMAK0jLyOQyMsA0LqT5WXDE8QpS0VFRRowYIA2btyosWPHNh7/v//7P73yyiv6+uuvm1wzZMgQ3XbbbZo/f37jsQ8++EDnnXeeiouL1a9fvybXnDhLxu12q6ysTPHx8aqqqpLD4VBhYaF69erVwa8wNFRWVvIethPvYfvxHp4aj8ejqqoqJSUlyWKxBDschJCWcrPNZlNKSgr/LbcD/z9sP97D9uM9PHXkZgQDedl/+P9h+/Eedgzex1NDXkYwkJf9h/8Xth/vYcfgfTw1vubloK74TEhIUFhYWJPVnSUlJU1WdTbo169fs+OtVqvi4+ObvSYiIkIRERFex3r37i1JMgxDktSrVy/+grUT72H78R62H+9h2zFrFcHQUm5uaFnBf8vtx3vYfryH7cd7eGrIzQg08rL/8R62H+9hx+B9bDvyMgKNvOx/vIftx3vYMXgf286XvBzUqUrh4eEaOXKkNmzY4HV8w4YNGjduXLPXjB07tsn4d955R6NGjWp2f08AAAAAAAAAAAAA3V/QezTMmTNHv//97/Xiiy/qq6++0o9//GMVFBRo9uzZkqT58+drxowZjeNnz56tXbt2ac6cOfrqq6/04osvavny5br//vuD9RIAAAAAAAAAAAAABFlQW91K0vXXX6/S0lI9+uijKi4u1vDhw5Wdna2BAwdKkoqLi1VQUNA4ftCgQcrOztaPf/xjPffcc0pKStIzzzyja6+99pR+f0REhB5++OEm7QPgO97D9uM9bD/eQ6B74L/l9uM9bD/ew/bjPQS6B/5bbj/ew/bjPewYvI9A18d/x+3He9h+vIcdg/fRvwyPx+MJdhAAAAAAAAAAAAAA0B5Bb3ULAAAAAAAAAAAAAO1F4RMAAAAAAAAAAABAl0fhEwAAAAAAAAAAAECXR+ETAAAAAAAAAAAAQJdH4RM4iY8++kiTJk1SSkqKIiIilJiYqLFjx2ru3LmSpP379ys8PFw33HBDi89RWVkpu92uq6++WpK0YsUKGYbR+KdHjx7q16+fLrroIi1cuFAlJSU+x/fzn/9cP/jBDzRgwAAZhqFbb721Xa8XAIDOjLwMAEDnQV4GAABAZ0PhE2hFVlaWxo0bp8rKSi1atEjvvPOOnn76aY0fP15r1qyRJPXp00dXX3213nrrLZWXlzf7PH/84x916NAhzZw50+v4Sy+9pA8//FAbNmzQc889p3POOUdPPPGEzjrrLP3973/3KcannnpKpaWluvrqqxUeHt6+FwwAQCdGXgYAoPMgLwMAAKAzMjwejyfYQQCd1QUXXKA9e/bo66+/ltVq9TrndrtlsZhzB/7yl78oIyNDv/71r/WjH/2oyfOMGTNG+fn52r17t6xWq1asWKHbbrtNubm5GjVqlNfYgoICnXfeeTp48KC2bdumxMTEVmM8Po7o6GhNmTJFK1asaMerBgCgcyIvAwDQeZCXAQAA0Bmx4hNoRWlpqRISEprcxElqvHmSpMsvv1zJycl66aWXmoz76quv9NFHH2nGjBnNPs+JUlJStGTJElVVVemFF1446fjj4wAAoDsjLwMA0HmQlwEAANAZ8QkQaMXYsWP10Ucf6Z577tFHH30kl8vV7DiLxaJbb71VW7Zs0WeffeZ1ruHm7vbbb/f592ZkZCgsLEw5OTmnHjwAAN0MeRkAgM6DvAwAAIDOiMIn0Ipf/vKXOu+88/TrX/9aY8aMUVRUlMaPH69f/vKXqq6u9hp7++23yzAMvfjii43H6urq9Morr2j8+PEaOnSoz783KipKCQkJKioq6rDXAgBAV0deBgCg8yAvAwAAoDOi8Am0Ij4+Xu+//75yc3P1y1/+UhMnTtS3336r+fPn67vf/a4OHDjQOHbQoEG66KKLtGrVKh05ckSSuZfJ3r172zR7tQHb7wIA4I28DABA50FeBgAAQGdE4RPwwahRo/TTn/5Ur732moqKivTjH/9Y+fn5WrRokde4mTNnqrS0VG+//bYks21PdHS0pk6d2qbfV1NTo9LSUiUlJXXYawAAoLsgLwMA0HmQlwEAANCZUPgE2shms+nhhx+WJOXl5Xmdmzx5smJjY/Xiiy9q//79+vOf/6zrr79e0dHRbfodWVlZqq+v14UXXthRYQMA0C2RlwEA6DzIywAAAAg2Cp9AK4qLi5s9/tVXX0lSkxmmPXr00LRp0/TOO+/oiSeekMvlanPbnoKCAt1///2KiYnRnXfeeWqBAwDQDZGXAQDoPMjLAAAA6IyswQ4A6Mwuv/xyJScn66qrrtLQoUPldrv16aefasmSJYqOjta9997b5JqZM2fqueee05NPPqmhQ4dq3LhxLT5/Xl6e6urqVFdXp5KSEr3//vt66aWXFBYWpnXr1qlPnz4njfG9997T/v37JUn19fXatWuXXn/9dUnSBRdc4NNzAADQFZCXAQDoPMjLAAAA6IwMDzvCAy1au3at1q9fr9zcXBUXF6u2tlb9+/fXBRdcoPnz5+uss85q9roRI0Zo69atWrRokR544IEm51esWKHbbrut8XF4eLh69+6ts846S5dffrlmzZrl8w3YhRdeqPfee6/Zc++++y7tfwAA3QZ5GQCAzoO8DAAAgM6IwicAAAAAAAAAAACALo89PgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAAAAAAAAAAB0eRQ+AQAAAAAAAAAAAHR5FD4BAAAAAAAAAAAAdHkUPgEAAP5/e/cfXXV93w/8FUhIlJFYYQaiEeJ2VFqUznCK4Kg/1kZptadn7oizB7SDc8w5WgRqV5BziuU4Q3s2ZVsFqkKt57jKUezWc8axZudMpAbXgWGzwDY3qEFJZDBNqOuCwOf7B1/SxgQKJOFz3+HxOOf+cd+8P/fz/rxPuE84z9zPBQAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJKn+AQAAAAAAACSp/gEAAAAAAAAkqf4BAAAAAAAAJJXnPcC8nDkyJHYs2dPjBgxIoqKivJeDkBusiyLAwcORFVVVQwZ4ndhyI9sBjhKNlMI5DLAUXIZANJzVhafe/bsierq6ryXAVAwdu/eHRdddFHey+AsJpsBupPN5EkuA3QnlwEgHWdl8TlixIiIOPqPlvLy8pxXA5Cfjo6OqK6u7npfhLzIZoCjZDOFQC4DHCWXASA9Z2XxeexWPeXl5f4TBxDhFmbkTjYDdCebyZNcBuhOLgNAOtycHgAAAAAAAEie4hMAAAAAAABInuITAAAAAAAASJ7iEwAAAAAAAEie4hMAAAAAAABInuITAAAAAAAASJ7iEwAAAAAAAEhe7sXnK6+8ErfccktUVVVFUVFR/O3f/u1vPGbDhg1RW1sbZWVlcckll8SqVasGfqEAAAAAAABAwcq9+Pzggw9i4sSJ8Z3vfOek5u/atSs+97nPxbRp06K5uTkeeOCBmDt3bqxbt26AVwoAAAAAAAAUquK8FzB9+vSYPn36Sc9ftWpVXHzxxbF8+fKIiBg/fnxs3rw5/vzP/zxuvfXWXo/p7OyMzs7OrucdHR19WjMA0DeyGQAKh1wGAAAGi9w/8XmqNm3aFHV1dd3Gbrzxxti8eXN8+OGHvR7T0NAQFRUVXY/q6uozsVQA4DhkMwAUDrkMAAAMFskVn21tbVFZWdltrLKyMg4dOhT79u3r9ZhFixZFe3t712P37t1nYqkAwHHIZgAoHHIZAAAYLHK/1e3pKCoq6vY8y7Jex48pLS2N0tLSAV8XAHByZDMAFA65DAAADBbJfeJz9OjR0dbW1m1s7969UVxcHCNHjsxpVQAAAAAAAECekis+p0yZEo2Njd3GXnrppZg0aVKUlJTktCoAAAAAAAAgT7kXn7/4xS9i69atsXXr1oiI2LVrV2zdujVaWloi4uh3jcyaNatrfn19fbz11luxYMGC2LFjR6xZsyZWr14d999/fx7LBwAAAAAAAApA7t/xuXnz5rj++uu7ni9YsCAiIu6888546qmnorW1tasEjYioqamJ9evXx/z58+Oxxx6Lqqqq+Ku/+qu49dZbz/jaAQAAAAAAgMKQe/F53XXXRZZlx/3zp556qsfYtddeG6+//voArgoAAAAAAABISe63ugUAAAAAAADoK8UnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkLyCKD5XrFgRNTU1UVZWFrW1tbFx48YTzn/mmWdi4sSJce6558aYMWPiy1/+cuzfv/8MrRYAAAAAAAAoNLkXn2vXro158+bF4sWLo7m5OaZNmxbTp0+PlpaWXuf/5Cc/iVmzZsXs2bNj27Zt8dxzz8U///M/x5w5c87wygEAAAAAAIBCkXvx+cgjj8Ts2bNjzpw5MX78+Fi+fHlUV1fHypUre53/2muvxbhx42Lu3LlRU1MTv//7vx933313bN68+bjn6OzsjI6Ojm4PACA/shkACodcBgAABotci8+DBw/Gli1boq6urtt4XV1dNDU19XrM1KlT4+23347169dHlmXx7rvvxvPPPx+f//znj3uehoaGqKio6HpUV1f363UAAKdGNgNA4ZDLAADAYJFr8blv3744fPhwVFZWdhuvrKyMtra2Xo+ZOnVqPPPMMzFjxowYNmxYjB49Os4777z467/+6+OeZ9GiRdHe3t712L17d79eBwBwamQzABQOuQwAAAwWud/qNiKiqKio2/Msy3qMHbN9+/aYO3dufOMb34gtW7bEiy++GLt27Yr6+vrjvn5paWmUl5d3ewAA+ZHNAFA45DIAADBYFOd58lGjRsXQoUN7fLpz7969PT4FekxDQ0Ncc8018bWvfS0iIq688soYPnx4TJs2LR566KEYM2bMgK8bAAAAAAAAKCy5fuJz2LBhUVtbG42Njd3GGxsbY+rUqb0e87//+78xZEj3ZQ8dOjQijn5SFAAAAAAAADj75H6r2wULFsSTTz4Za9asiR07dsT8+fOjpaWl69a1ixYtilmzZnXNv+WWW+KFF16IlStXxs6dO+PVV1+NuXPnxqc+9amoqqrK6zIAAAAAAACAHOV6q9uIiBkzZsT+/ftj6dKl0draGhMmTIj169fH2LFjIyKitbU1WlpauubfddddceDAgfjOd74TX/3qV+O8886LG264Ib71rW/ldQkAAAAAAABAzoqys/D+sB0dHVFRURHt7e1RXl6e93IAcuP9kELhZxHgKO+HFAI/hwBHeT8EgPTkfqtbAAAAAAAAgL5SfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJU3wCAAAAAAAAyVN8AgAAAAAAAMlTfAIAAAAAAADJK4jic8WKFVFTUxNlZWVRW1sbGzduPOH8zs7OWLx4cYwdOzZKS0vjd37nd2LNmjVnaLUAAAAAAABAoSnOewFr166NefPmxYoVK+Kaa66J7373uzF9+vTYvn17XHzxxb0ec9ttt8W7774bq1evjt/93d+NvXv3xqFDh87wygEAAAAAAIBCkXvx+cgjj8Ts2bNjzpw5ERGxfPny+PGPfxwrV66MhoaGHvNffPHF2LBhQ+zcuTPOP//8iIgYN27cCc/R2dkZnZ2dXc87Ojr67wIAgFMmmwGgcMhlAABgsMj1VrcHDx6MLVu2RF1dXbfxurq6aGpq6vWYH/3oRzFp0qT49re/HRdeeGFceumlcf/998cvf/nL456noaEhKioquh7V1dX9eh0AwKmRzQBQOOQyAAAwWORafO7bty8OHz4clZWV3cYrKyujra2t12N27twZP/nJT+JnP/tZ/PCHP4zly5fH888/H/fcc89xz7No0aJob2/veuzevbtfrwMAODWyGQAKh1wGAAAGi9xvdRsRUVRU1O15lmU9xo45cuRIFBUVxTPPPBMVFRURcfR2uX/0R38Ujz32WJxzzjk9jiktLY3S0tL+XzgAcFpkMwAUDrkMAAAMFrl+4nPUqFExdOjQHp/u3Lt3b49PgR4zZsyYuPDCC7tKz4iI8ePHR5Zl8fbbbw/oegEAAAAAAIDClGvxOWzYsKitrY3GxsZu442NjTF16tRej7nmmmtiz5498Ytf/KJr7D/+4z9iyJAhcdFFFw3oegEAAAAAAIDClGvxGRGxYMGCePLJJ2PNmjWxY8eOmD9/frS0tER9fX1EHP2ukVmzZnXNv+OOO2LkyJHx5S9/ObZv3x6vvPJKfO1rX4s/+ZM/6fU2twAAAAAAAMDgl/t3fM6YMSP2798fS5cujdbW1pgwYUKsX78+xo4dGxERra2t0dLS0jX/t37rt6KxsTG+8pWvxKRJk2LkyJFx2223xUMPPZTXJQAAAAAAAAA5K8qyLMt7EWdaR0dHVFRURHt7e5SXl+e9HIDceD+kUPhZBDjK+yGFwM8hwFHeDwEgPbnf6hYAAAAAAACgrxSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIKovhcsWJF1NTURFlZWdTW1sbGjRtP6rhXX301iouL45Of/OTALhAAAAAAAAAoaLkXn2vXro158+bF4sWLo7m5OaZNmxbTp0+PlpaWEx7X3t4es2bNij/4gz84QysFAAAAAAAAClXuxecjjzwSs2fPjjlz5sT48eNj+fLlUV1dHStXrjzhcXfffXfccccdMWXKlN94js7Ozujo6Oj2AADyI5sBoHDIZQAAYLDItfg8ePBgbNmyJerq6rqN19XVRVNT03GP+973vhf/9V//FUuWLDmp8zQ0NERFRUXXo7q6uk/rBgD6RjYDQOGQywAAwGCRa/G5b9++OHz4cFRWVnYbr6ysjLa2tl6PefPNN2PhwoXxzDPPRHFx8UmdZ9GiRdHe3t712L17d5/XDgCcPtkMAIVDLgMAAIPFyTWHA6yoqKjb8yzLeoxFRBw+fDjuuOOO+OY3vxmXXnrpSb9+aWlplJaW9nmdAED/kM0AUDjkMgAAMFjkWnyOGjUqhg4d2uPTnXv37u3xKdCIiAMHDsTmzZujubk57r333oiIOHLkSGRZFsXFxfHSSy/FDTfccEbWDgAAAAAAABSOXG91O2zYsKitrY3GxsZu442NjTF16tQe88vLy+ONN96IrVu3dj3q6+vjsssui61bt8bkyZPP1NIBAAAAAACAApL7rW4XLFgQM2fOjEmTJsWUKVPi8ccfj5aWlqivr4+Io9818s4778TTTz8dQ4YMiQkTJnQ7/oILLoiysrIe4wAAAAAAAMDZI/fic8aMGbF///5YunRptLa2xoQJE2L9+vUxduzYiIhobW2NlpaWnFcJAAAAAAAAFLKiLMuyvBdxpnV0dERFRUW0t7dHeXl53ssByI33QwqFn0WAo7wfUgj8HAIc5f0QANKT63d8AgAAAAAAAPQHxScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQPMUnAAAAAAAAkDzFJwAAAAAAAJA8xScAAAAAAACQvIIoPlesWBE1NTVRVlYWtbW1sXHjxuPOfeGFF+Kzn/1s/PZv/3aUl5fHlClT4sc//vEZXC0AAAAAAABQaHIvPteuXRvz5s2LxYsXR3Nzc0ybNi2mT58eLS0tvc5/5ZVX4rOf/WysX78+tmzZEtdff33ccsst0dzcfIZXDgAAAAAAABSKoizLsjwXMHny5Ljqqqti5cqVXWPjx4+PL37xi9HQ0HBSr/GJT3wiZsyYEd/4xjd6/fPOzs7o7Ozset7R0RHV1dXR3t4e5eXlfbsAgIR1dHRERUWF90POONkM0DvZTB7kMkDv5DIApCfXT3wePHgwtmzZEnV1dd3G6+rqoqmp6aRe48iRI3HgwIE4//zzjzunoaEhKioquh7V1dV9WjcA0DeyGQAKh1wGAAAGi1yLz3379sXhw4ejsrKy23hlZWW0tbWd1Gv8xV/8RXzwwQdx2223HXfOokWLor29veuxe/fuPq0bAOgb2QwAhUMuAwAAg0Vx3guIiCgqKur2PMuyHmO9+cEPfhAPPvhg/N3f/V1ccMEFx51XWloapaWlfV4nANA/ZDMAFA65DAAADBa5Fp+jRo2KoUOH9vh05969e3t8CvSj1q5dG7Nnz47nnnsuPvOZzwzkMgEAAAAAAIACl+utbocNGxa1tbXR2NjYbbyxsTGmTp163ON+8IMfxF133RV/8zd/E5///OcHepkAAAAAAABAgcv9VrcLFiyImTNnxqRJk2LKlCnx+OOPR0tLS9TX10fE0e8aeeedd+Lpp5+OiKOl56xZs+Iv//Iv4+qrr+76tOg555wTFRUVuV0HAAAAAAAAkJ/ci88ZM2bE/v37Y+nSpdHa2hoTJkyI9evXx9ixYyMiorW1NVpaWrrmf/e7341Dhw7FPffcE/fcc0/X+J133hlPPfXUmV4+AAAAAAAAUACKsizL8l7EmdbR0REVFRXR3t4e5eXleS8HIDfeDykUfhYBjvJ+SCHwcwhwlPdDAEhPrt/xCQAAAAAAANAfFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8hSfAAAAAAAAQPIUnwAAAAAAAEDyFJ8AAAAAAABA8gqi+FyxYkXU1NREWVlZ1NbWxsaNG084f8OGDVFbWxtlZWVxySWXxKpVq87QSgEAAAAAAIBClHvxuXbt2pg3b14sXrw4mpubY9q0aTF9+vRoaWnpdf6uXbvic5/7XEybNi2am5vjgQceiLlz58a6devO8MoBAAAAAACAQlGUZVmW5wImT54cV111VaxcubJrbPz48fHFL34xGhoaesz/+te/Hj/60Y9ix44dXWP19fXxL//yL7Fp06Zez9HZ2RmdnZ1dz9vb2+Piiy+O3bt3R3l5eT9eDUBaOjo6orq6Ot5///2oqKjIezmcRWQzQO9kM3mQywC9k8sAkJ7iPE9+8ODB2LJlSyxcuLDbeF1dXTQ1NfV6zKZNm6Kurq7b2I033hirV6+ODz/8MEpKSnoc09DQEN/85jd7jFdXV/dh9QCDx4EDB/wnjjNKNgOcmGzmTJLLACcmlwEgHbl+4nPPnj1x4YUXxquvvhpTp07tGn/44Yfj+9//fvz7v/97j2MuvfTSuOuuu+KBBx7oGmtqaoprrrkm9uzZE2PGjOlxzEd/e/XIkSPxP//zPzFy5Mg4cOBAVFdX+03WPjj222/28PTZw76zh6cny7I4cOBAVFVVxZAhud/9nLPI8bK5pKTEJ0z6yPth39nDvrOHp082kwe5PHC8H/adPewf9vH0yGUASE+un/g8pqioqNvzLMt6jP2m+b2NH1NaWhqlpaXdxs4777xux5SXl/uHXx/Zw76zh31nD0+d31olD8fL5o6Ojojwd7k/2MO+s4d9Zw9Pj2zmTJPLA88e9p097B/28dTJZQBIS66/qjRq1KgYOnRotLW1dRvfu3dvVFZW9nrM6NGje51fXFwcI0eOHLC1AgAAAAAAAIUr1+Jz2LBhUVtbG42Njd3GGxsbu9369tdNmTKlx/yXXnopJk2a1Ov3ewIAAAAAAACDX+43p1+wYEE8+eSTsWbNmtixY0fMnz8/Wlpaor6+PiIiFi1aFLNmzeqaX19fH2+99VYsWLAgduzYEWvWrInVq1fH/ffff1rnLy0tjSVLlvS4rQ8nzx72nT3sO3sIg4O/y31nD/vOHvadPYTBwd/lvrOHfWcP+4d9BADOFkXZsS/IzNGKFSvi29/+drS2tsaECRPi0UcfjU9/+tMREXHXXXfFz3/+83j55Ze75m/YsCHmz58f27Zti6qqqvj617/eVZQCAAAAAAAAZ5+CKD4BAAAAAAAA+iL3W90CAAAAAAAA9JXiEwAAAAAAAEie4hMAAAAAAABInuITAAAAAAAASN6gKj7fe++9mDlzZlRUVERFRUXMnDkz3n///RMek2VZPPjgg1FVVRXnnHNOXHfddbFt27Zucx5//PG47rrrory8PIqKinp9zdM5d6EaqH3s7OyMr3zlKzFq1KgYPnx4fOELX4i3336725xx48ZFUVFRt8fChQv7+xL73YoVK6KmpibKysqitrY2Nm7ceML5GzZsiNra2igrK4tLLrkkVq1a1WPOunXr4uMf/3iUlpbGxz/+8fjhD3/Y5/MWsjz28MEHH+zx8zZ69Oh+vS44m8nl/iGXT51c7ju5DIOTbO47uXzq5HL/kM0AACcpG0RuuummbMKECVlTU1PW1NSUTZgwIbv55ptPeMyyZcuyESNGZOvWrcveeOONbMaMGdmYMWOyjo6OrjmPPvpo1tDQkDU0NGQRkb333nv9cu5CNVD7WF9fn1144YVZY2Nj9vrrr2fXX399NnHixOzQoUNdc8aOHZstXbo0a21t7XocOHBgwK61Pzz77LNZSUlJ9sQTT2Tbt2/P7rvvvmz48OHZW2+91ev8nTt3Zueee2523333Zdu3b8+eeOKJrKSkJHv++ee75jQ1NWVDhw7NHn744WzHjh3Zww8/nBUXF2evvfbaaZ+3kOW1h0uWLMk+8YlPdPt527t374BfL5wt5HL/kMunRi73nVyGwUs2951cPjVyuX/IZgCAkzdois/t27dnEdHtH2ibNm3KIiL7t3/7t16POXLkSDZ69Ohs2bJlXWP/93//l1VUVGSrVq3qMf8f//Efe/1P3Omcu1AN1D6+//77WUlJSfbss892zXnnnXeyIUOGZC+++GLX2NixY7NHH320n69qYH3qU5/K6uvru41dfvnl2cKFC3ud/6d/+qfZ5Zdf3m3s7rvvzq6++uqu57fddlt20003dZtz4403Zrfffvtpn7eQ5bWHS5YsySZOnNjH1QO9kcv9Qy6fOrncd3IZBifZ3Hdy+dTJ5f4hmwEATt6gudXtpk2boqKiIiZPntw1dvXVV0dFRUU0NTX1esyuXbuira0t6urqusZKS0vj2muvPe4x/XXuQjVQ+7hly5b48MMPu82pqqqKCRMm9Hjdb33rWzFy5Mj45Cc/GX/2Z38WBw8e7M9L7FcHDx6MLVu2dLuuiIi6urrj7temTZt6zL/xxhtj8+bN8eGHH55wzrHXPJ3zFqq89vCYN998M6qqqqKmpiZuv/322LlzZ18vCQi53F/k8qmRy30nl2Hwks19J5dPjVzuH7IZAODUFOe9gP7S1tYWF1xwQY/xCy64INra2o57TEREZWVlt/HKysp46623BvTchWqg9rGtrS2GDRsWH/vYx3rM+fXXve++++Kqq66Kj33sY/HTn/40Fi1aFLt27Yonn3yyT9c1UPbt2xeHDx/u9dpPtF+9zT906FDs27cvxowZc9w5x17zdM5bqPLaw4iIyZMnx9NPPx2XXnppvPvuu/HQQw/F1KlTY9u2bTFy5Mh+ukI4O8nl/iGXT41c7ju5DIOXbO47uXxq5HL/kM0AAKem4D/x2dsXqX/0sXnz5oiIKCoq6nF8lmW9jv+6j/75yRzzm17jdF9noBTqPn50zvz58+Paa6+NK6+8MubMmROrVq2K1atXx/79+0/2UnNxqtfe2/yPjp/Ma/bHz26hyGMPp0+fHrfeemtcccUV8ZnPfCb+/u//PiIivv/975/eRcBZoFDz5De9xum+zkAp1H2Uy7+a/9FxuSyXoVAVaqb8ptc43dcZCIW6h3L5V/M/On625XKEbAYAOFkF/4nPe++9N26//fYTzhk3blz867/+a7z77rs9/uy///u/e/wG2zGjR4+OiKO/CTdmzJiu8b179x73mOO9zqme+0zLex9Hjx4dBw8ejPfee6/bb7Hu3bs3pk6detw1XX311RER8Z//+Z8F+duEo0aNiqFDh/b4LcsT/QyNHj261/nFxcVd13i8Ocde83TOW6jy2sPeDB8+PK644op48803T+dS4KyQd56cDLksl+Xy6ZPLkJ68M+VkFHo2572HcvlX5HJPshkA4NQU/Cc+R40aFZdffvkJH2VlZTFlypRob2+Pn/70p13H/tM//VO0t7cf9z8KNTU1MXr06GhsbOwaO3jwYGzYsOGE/7n4qNM595mW9z7W1tZGSUlJtzmtra3xs5/97IR71NzcHBHR7T+IhWTYsGFRW1vb7boiIhobG497XVOmTOkx/6WXXopJkyZFSUnJCecce83TOW+hymsPe9PZ2Rk7duwo2J83KAR558nJkMtyWS6fPrkM6ck7U05GoWdz3nsol39FLvckmwEATlE2iNx0003ZlVdemW3atCnbtGlTdsUVV2Q333xztzmXXXZZ9sILL3Q9X7ZsWVZRUZG98MIL2RtvvJH98R//cTZmzJiso6Oja05ra2vW3NycPfHEE1lEZK+88krW3Nyc7d+//5TOnYqB2sf6+vrsoosuyv7hH/4he/3117MbbrghmzhxYnbo0KEsy7Ksqakpe+SRR7Lm5uZs586d2dq1a7OqqqrsC1/4wpm58NP07LPPZiUlJdnq1auz7du3Z/PmzcuGDx+e/fznP8+yLMsWLlyYzZw5s2v+zp07s3PPPTebP39+tn379mz16tVZSUlJ9vzzz3fNefXVV7OhQ4dmy5Yty3bs2JEtW7YsKy4uzl577bWTPm9K8trDr371q9nLL7+c7dy5M3vttdeym2++ORsxYkSSewiFSC73D7l8auRy38llGLxkc9/J5VMjl/uHbAYAOHmDqvjcv39/9qUvfSkbMWJENmLEiOxLX/pS9t5773WbExHZ9773va7nR44cyZYsWZKNHj06Ky0tzT796U9nb7zxRrdjlixZkkVEj8evv87JnDsVA7WPv/zlL7N77703O//887Nzzjknu/nmm7OWlpauP9+yZUs2efLkrKKiIisrK8suu+yybMmSJdkHH3wwkJfbLx577LFs7Nix2bBhw7Krrroq27BhQ9ef3Xnnndm1117bbf7LL7+c/d7v/V42bNiwbNy4cdnKlSt7vOZzzz2XXXbZZVlJSUl2+eWXZ+vWrTul86Ymjz2cMWNGNmbMmKykpCSrqqrK/vAP/zDbtm3bgFwfnI3kcv+Qy6dOLvedXIbBSTb3nVw+dXK5f8hmAICTU5Rl///bzQEAAAAAAAASVfDf8QkAAAAAAADwmyg+AQAAAAAAgOQpPgEAAAAAAIDkKT4BAAAAAACA5Ck+AQAAAAAAgOQpPgEAAAAAAIDkKT4BAAAAAACA5Ck+AQAAAAAAgOQpPgEAAAAAAIDkKT4BAAAAAACA5Ck+AQAAAAAAgOT9P9PczxG/wykzAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots(3, 4, figsize=(23, 15), sharex=True, sharey=True)\n", "\n", @@ -292,10 +397,25 @@ ] }, { - "metadata": {}, "cell_type": "code", - "outputs": [], - "execution_count": null, + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "8fb174ccdadb40d486d809187e52d833", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "FileChooser(path='/mnt/home/gwoollard', filename='', title='', show_hidden=False, select_desc='Select', change…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Select path to SVD results\n", "svd_all_vs_all_results_path = FileChooser(os.path.expanduser(\"~\"))\n", @@ -305,10 +425,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [], - "source": "data_svd_all_vs_all = torch.load(svd_all_vs_all_results_path.selected_filename)" + "source": [ + "data_svd_all_vs_all = torch.load(svd_all_vs_all_results_path.value)" + ] }, { "cell_type": "markdown", @@ -319,9 +441,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['coeffs', 'metadata', 'config', 'volumes', 'mean_volumes', 'U', 'S', 'V'])" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data_svd_all_vs_all.keys()" ] @@ -335,14 +468,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "weights = []\n", "for i, id in enumerate(data_svd_all_vs_all[\"metadata\"].keys()):\n", " populations = data_svd_vs_gt[\"metadata\"][id][\"populations\"]\n", - " weights += populations.numpy().tolist()\n", + " weights += populations.tolist()\n", "\n", "weights = np.array(weights)\n", "weights = weights / weights.sum()" @@ -350,9 +483,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.92, 'Set2: 1st and 2nd SVD coefficient for each submission vs. distribution of all coefficients')" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots(3, 4, figsize=(4 * 5, 3 * 5))\n", "# fig.suptitle(\"KDEPlots for UMAP Embedding of SVD Coefficients for Set 2 with GT as reference\")\n", @@ -406,9 +560,9 @@ ], "metadata": { "kernelspec": { - "display_name": "cryo-challenge-kernel", + "display_name": "gpucryonerf", "language": "python", - "name": "cryo-challenge-kernel" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -420,7 +574,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.10" + "version": "3.8.17" } }, "nbformat": 4, From 0920372bf70052ec352617d0e9ebda8ef3748a3e Mon Sep 17 00:00:00 2001 From: Geoffrey Woollard Date: Mon, 24 Jun 2024 18:26:32 -0400 Subject: [PATCH 08/11] remove numpy reference, interactive paths.value for full path --- tutorials/3_tutorial_map2map.ipynb | 2 +- tutorials/4_tutorial_distribution2distribution.ipynb | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/tutorials/3_tutorial_map2map.ipynb b/tutorials/3_tutorial_map2map.ipynb index 37102ed..a3701ff 100644 --- a/tutorials/3_tutorial_map2map.ipynb +++ b/tutorials/3_tutorial_map2map.ipynb @@ -447,7 +447,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.17" + "version": "3.8.-1" } }, "nbformat": 4, diff --git a/tutorials/4_tutorial_distribution2distribution.ipynb b/tutorials/4_tutorial_distribution2distribution.ipynb index 652a6ed..07dc1d9 100644 --- a/tutorials/4_tutorial_distribution2distribution.ipynb +++ b/tutorials/4_tutorial_distribution2distribution.ipynb @@ -409,7 +409,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.17" + "version": "3.8.-1" } }, "nbformat": 4, From ce683bfc33ad79d23ecbc7eddc927e51207032a6 Mon Sep 17 00:00:00 2001 From: Geoffrey Woollard Date: Mon, 24 Jun 2024 18:26:47 -0400 Subject: [PATCH 09/11] remove numpy reference, interactive paths.value for full path --- tutorials/2_tutorial_svd.ipynb | 202 +++++---------------------------- 1 file changed, 26 insertions(+), 176 deletions(-) diff --git a/tutorials/2_tutorial_svd.ipynb b/tutorials/2_tutorial_svd.ipynb index 98d1448..e0f33ac 100644 --- a/tutorials/2_tutorial_svd.ipynb +++ b/tutorials/2_tutorial_svd.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -40,24 +40,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6b3f02a47a2c4cac93ddec74a554574d", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "FileChooser(path='/mnt/home/gwoollard', filename='', title='', show_hidden=False, select_desc='Select', change…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Select path to SVD config file\n", "# An example of this file is available in the path ../config_files/config_svd.yaml\n", @@ -68,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -78,18 +63,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "keys for config: dict_keys(['path_to_volumes', 'box_size_ds', 'submission_list', 'experiment_mode', 'path_to_reference', 'dtype', 'output_options'])\n", - "keys for output_options: dict_keys(['output_path', 'save_volumes', 'save_svd_matrices'])\n" - ] - } - ], + "outputs": [], "source": [ "print(f\"keys for config: {config_example.keys()}\")\n", "print(f\"keys for output_options: {config_example['output_options'].keys()}\")" @@ -128,24 +104,9 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6a7946f94c314c6e84f7fd4519379f16", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "FileChooser(path='/mnt/home/gwoollard', filename='', title='', show_hidden=False, select_desc='Select', change…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Select path to SVD results\n", "svd_results_path = FileChooser(os.path.expanduser(\"~\"))\n", @@ -155,7 +116,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -171,40 +132,18 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['coeffs', 'coeffs_ref', 'metadata', 'config', 'volumes', 'mean_volumes', 'ref_volumes', 'mean_ref_volume', 'U', 'S', 'V'])" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "data_svd_vs_gt.keys()" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['n_vols', 'populations', 'indices'])" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "data_svd_vs_gt[\"metadata\"][\"Salted Caramel\"].keys()" ] @@ -249,30 +188,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0.92, \"Set2: Projection of each submission onto GT's SVD\")" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(3, 4, figsize=(23, 15), sharex=True, sharey=True)\n", "\n", @@ -318,30 +236,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0.92, \"Set2: Projection of each submission onto GT's SVD\")" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(3, 4, figsize=(23, 15), sharex=True, sharey=True)\n", "\n", @@ -398,24 +295,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "8fb174ccdadb40d486d809187e52d833", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "FileChooser(path='/mnt/home/gwoollard', filename='', title='', show_hidden=False, select_desc='Select', change…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Select path to SVD results\n", "svd_all_vs_all_results_path = FileChooser(os.path.expanduser(\"~\"))\n", @@ -425,7 +307,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -441,20 +323,9 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict_keys(['coeffs', 'metadata', 'config', 'volumes', 'mean_volumes', 'U', 'S', 'V'])" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "data_svd_all_vs_all.keys()" ] @@ -468,7 +339,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -483,30 +354,9 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0.92, 'Set2: 1st and 2nd SVD coefficient for each submission vs. distribution of all coefficients')" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt.subplots(3, 4, figsize=(4 * 5, 3 * 5))\n", "# fig.suptitle(\"KDEPlots for UMAP Embedding of SVD Coefficients for Set 2 with GT as reference\")\n", From 8b7c5fcc898c288e40c408cfccf2620cc32d3dd7 Mon Sep 17 00:00:00 2001 From: DavidHerreros Date: Tue, 25 Jun 2024 09:57:17 +0200 Subject: [PATCH 10/11] Add comment about specific formatting of populations.txt file --- tutorials/1_tutorial_preprocessing.ipynb | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/tutorials/1_tutorial_preprocessing.ipynb b/tutorials/1_tutorial_preprocessing.ipynb index c1469c1..21037c6 100644 --- a/tutorials/1_tutorial_preprocessing.ipynb +++ b/tutorials/1_tutorial_preprocessing.ipynb @@ -245,7 +245,9 @@ "\n", "Note: make sure to activate your environment and have the package installed!\n", "\n", - "You can run the following cell to visualize your volumes (more precisely, a projection of them)" + "You can run the following cell to visualize your volumes (more precisely, a projection of them)\n", + "\n", + "IMPORTANT: The execution of the previous program relies on the existence of file to be saved at {{ submission1_path.selected_path }} with a specific formatting. The file must be named \"populations.txt\", and should be formatted as a single row/column CSV file containing the populations computed from your results. If the previous file is not included, the execution of the program will result in a runtime error." ] }, { From b02de2c5f3a94089790e32cdc911b175d759acda Mon Sep 17 00:00:00 2001 From: Geoffrey Woollard Date: Tue, 25 Jun 2024 09:00:57 -0400 Subject: [PATCH 11/11] full path bug fixed. note about populations.txt --- tutorials/1_tutorial_preprocessing.ipynb | 214 ++++++----------------- 1 file changed, 51 insertions(+), 163 deletions(-) diff --git a/tutorials/1_tutorial_preprocessing.ipynb b/tutorials/1_tutorial_preprocessing.ipynb index c1469c1..671dd28 100644 --- a/tutorials/1_tutorial_preprocessing.ipynb +++ b/tutorials/1_tutorial_preprocessing.ipynb @@ -2,27 +2,29 @@ "cells": [ { "cell_type": "code", + "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2024-06-17T15:40:12.854854Z", "start_time": "2024-06-17T15:40:12.829426Z" } }, + "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2" - ], - "outputs": [], - "execution_count": 1 + ] }, { "cell_type": "code", + "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2024-06-17T15:40:20.557563Z", "start_time": "2024-06-17T15:40:18.847242Z" } }, + "outputs": [], "source": [ "import json\n", "import os\n", @@ -31,9 +33,7 @@ "import numpy as np\n", "import yaml\n", "from ipyfilechooser import FileChooser" - ], - "outputs": [], - "execution_count": 2 + ] }, { "cell_type": "markdown", @@ -41,150 +41,89 @@ "source": [ "# Creating your submission_config file\n", "\n", - "This file will tell the preprocessing pipeline how each submission should be processed. I will show two examples of possible submissions and explain how different parameters affect the pipeline." + "This file will tell the preprocessing pipeline how each submission should be processed. I will show two examples of possible submissions and explain how different parameters affect the pipeline.\n", + "\n", + "Note that the submission directories need maps numbered 01.mrc to 80.mrc and a populations.txt file that has the corresponding populations weights (no header) each separated by a newline (so 80 rows in total), such that the total sums to 1." ] }, { - "metadata": {}, - "cell_type": "markdown", - "source": "" - }, - { + "cell_type": "code", + "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-06-17T15:40:28.587603Z", "start_time": "2024-06-17T15:40:28.496607Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# Select path to submissions\n", "path_to_sub_set = FileChooser(os.path.expanduser(\"~\"))\n", "path_to_sub_set.show_only_dirs = True\n", "display(path_to_sub_set)" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "FileChooser(path='/home/flex', filename='', title='', show_hidden=False, select_desc='Select', change_desc='Ch…" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "57c38a25370d49638e404e1cd6384aab" - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 3 + ] }, { + "cell_type": "code", + "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-06-13T07:40:21.422797Z", "start_time": "2024-06-13T07:40:21.365912Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# Select path to submissions (submission 1)\n", "submission1_path = FileChooser(path_to_sub_set.selected_path)\n", "submission1_path.show_only_dirs = True\n", "display(submission1_path)" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "FileChooser(path='/data/flex/ScipionUserData/projects/Challenge_Flatiron_Second_New_Dataset', filename='', tit…" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "ce28e434f6d741048f0cdad2432871ec" - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 12 + ] }, { + "cell_type": "code", + "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-06-13T07:40:31.706352Z", "start_time": "2024-06-13T07:40:31.645910Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# Select path to submissions (submission 2)\n", "submission2_path = FileChooser(path_to_sub_set.selected_path)\n", "submission2_path.show_only_dirs = True\n", "display(submission2_path)" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "FileChooser(path='/data/flex/ScipionUserData/projects/Challenge_Flatiron_Second_New_Dataset', filename='', tit…" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "ef349716af4e4be2ae6fd8df521aead6" - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 13 + ] }, { + "cell_type": "code", + "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-06-13T07:40:40.403450Z", "start_time": "2024-06-13T07:40:40.335296Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# Select path to Ground Truth\n", "path_gt = FileChooser(os.path.expanduser(\"~\"))\n", "path_gt.show_only_dirs = True\n", "display(path_gt)" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "FileChooser(path='/home/flex', filename='', title='', show_hidden=False, select_desc='Select', change_desc='Ch…" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "9e71e2ed0f6648808ee837e03055fbda" - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 14 + ] }, { "cell_type": "code", + "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2024-06-13T07:40:59.387306Z", "start_time": "2024-06-13T07:40:59.348942Z" } }, + "outputs": [], "source": [ "submission_config = {\n", " \"gt\": {\n", @@ -209,18 +148,18 @@ " \"path\": submission2_path.selected_path,\n", " },\n", "}" - ], - "outputs": [], - "execution_count": 15 + ] }, { "cell_type": "code", + "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2024-06-13T07:41:01.194466Z", "start_time": "2024-06-13T07:41:01.153354Z" } }, + "outputs": [], "source": [ "# create submission config\n", "with open(\"submission_config.json\", \"w\") as f:\n", @@ -229,9 +168,7 @@ "# load submission_config from json\n", "with open(\"submission_config.json\", \"r\") as f:\n", " submission_config = json.load(f)" - ], - "outputs": [], - "execution_count": 16 + ] }, { "cell_type": "markdown", @@ -249,63 +186,55 @@ ] }, { + "cell_type": "code", + "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-06-13T07:43:02.295840Z", "start_time": "2024-06-13T07:43:02.231814Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# Select path to Config file\n", "# An example of this file is available in the path ../config_files/config_preproc.yaml\n", "config_preproc_path = FileChooser(os.path.expanduser(\"~\"))\n", "config_preproc_path.filter_pattern = '*.yaml'\n", "display(config_preproc_path)" - ], - "outputs": [ - { - "data": { - "text/plain": [ - "FileChooser(path='/home/flex', filename='', title='', show_hidden=False, select_desc='Select', change_desc='Ch…" - ], - "application/vnd.jupyter.widget-view+json": { - "version_major": 2, - "version_minor": 0, - "model_id": "c0538171e58e4fb58fc2633c0624b3a7" - } - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 19 + ] }, { + "cell_type": "code", + "execution_count": 25, "metadata": { "ExecuteTime": { "end_time": "2024-06-13T07:43:16.259106Z", "start_time": "2024-06-13T07:43:16.215287Z" } }, - "cell_type": "code", + "outputs": [], "source": [ "# Get output path from config file\n", - "with open(config_preproc_path.selected_filename, \"r\") as f:\n", + "with open(config_preproc_path.value, \"r\") as f:\n", " config_preproc = yaml.safe_load(f)\n", - "output_path = config_preproc[\"output_path\"]" - ], - "outputs": [], - "execution_count": 20 + "output_path = config_preproc[\"output_path\"]\n", + "\n", + "if os.path.isabs(output_path):\n", + " full_output_path = output_path\n", + "else:\n", + " full_output_path = os.path.join(os.getcwd(), '..', output_path)" + ] }, { "cell_type": "code", + "execution_count": null, "metadata": { "ExecuteTime": { "end_time": "2024-06-13T07:43:22.054839Z", "start_time": "2024-06-13T07:43:18.169467Z" } }, + "outputs": [], "source": [ "n_submissions = 2 # change this to however many submissions you preprocessed\n", "\n", @@ -316,52 +245,11 @@ " 0, 20\n", " ) # doing random volumes to check that everything went fine\n", "\n", - " submission = torch.load(os.path.join(output_path, f\"submission_{i}.pt\"))\n", + " submission = torch.load(os.path.join(full_output_path, f\"submission_{i}.pt\"))\n", " print(submission[\"volumes\"].shape, submission[\"id\"])\n", " ax.flatten()[i].imshow(submission[\"volumes\"][idx].sum(axis=0))\n", " ax.flatten()[i].set_title(submission[\"id\"])" - ], - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "torch.Size([80, 224, 224, 224]) Mango\n" - ] - }, - { - "ename": "FileNotFoundError", - "evalue": "[Errno 2] No such file or directory: '/home/flex/Projects/Cryo-EM-Heterogeneity-Challenge-1/tutorials/results/submission_1.pt'", - "output_type": "error", - "traceback": [ - "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[0;31mFileNotFoundError\u001B[0m Traceback (most recent call last)", - "Cell \u001B[0;32mIn[21], line 10\u001B[0m\n\u001B[1;32m 5\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m i \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mrange\u001B[39m(n_submissions):\n\u001B[1;32m 6\u001B[0m idx \u001B[38;5;241m=\u001B[39m np\u001B[38;5;241m.\u001B[39mrandom\u001B[38;5;241m.\u001B[39mrandint(\n\u001B[1;32m 7\u001B[0m \u001B[38;5;241m0\u001B[39m, \u001B[38;5;241m20\u001B[39m\n\u001B[1;32m 8\u001B[0m ) \u001B[38;5;66;03m# doing random volumes to check that everything went fine\u001B[39;00m\n\u001B[0;32m---> 10\u001B[0m submission \u001B[38;5;241m=\u001B[39m \u001B[43mtorch\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mload\u001B[49m\u001B[43m(\u001B[49m\u001B[43mos\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mpath\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mjoin\u001B[49m\u001B[43m(\u001B[49m\u001B[43moutput_path\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43mf\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[38;5;124;43msubmission_\u001B[39;49m\u001B[38;5;132;43;01m{\u001B[39;49;00m\u001B[43mi\u001B[49m\u001B[38;5;132;43;01m}\u001B[39;49;00m\u001B[38;5;124;43m.pt\u001B[39;49m\u001B[38;5;124;43m\"\u001B[39;49m\u001B[43m)\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 11\u001B[0m \u001B[38;5;28mprint\u001B[39m(submission[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mvolumes\u001B[39m\u001B[38;5;124m\"\u001B[39m]\u001B[38;5;241m.\u001B[39mshape, submission[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mid\u001B[39m\u001B[38;5;124m\"\u001B[39m])\n\u001B[1;32m 12\u001B[0m ax\u001B[38;5;241m.\u001B[39mflatten()[i]\u001B[38;5;241m.\u001B[39mimshow(submission[\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mvolumes\u001B[39m\u001B[38;5;124m\"\u001B[39m][idx]\u001B[38;5;241m.\u001B[39msum(axis\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m0\u001B[39m))\n", - "File \u001B[0;32m~/miniforge3/envs/challenge_flatiron/lib/python3.10/site-packages/torch/serialization.py:997\u001B[0m, in \u001B[0;36mload\u001B[0;34m(f, map_location, pickle_module, weights_only, mmap, **pickle_load_args)\u001B[0m\n\u001B[1;32m 994\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mencoding\u001B[39m\u001B[38;5;124m'\u001B[39m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;129;01min\u001B[39;00m pickle_load_args\u001B[38;5;241m.\u001B[39mkeys():\n\u001B[1;32m 995\u001B[0m pickle_load_args[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mencoding\u001B[39m\u001B[38;5;124m'\u001B[39m] \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mutf-8\u001B[39m\u001B[38;5;124m'\u001B[39m\n\u001B[0;32m--> 997\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m \u001B[43m_open_file_like\u001B[49m\u001B[43m(\u001B[49m\u001B[43mf\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mrb\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m)\u001B[49m \u001B[38;5;28;01mas\u001B[39;00m opened_file:\n\u001B[1;32m 998\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m _is_zipfile(opened_file):\n\u001B[1;32m 999\u001B[0m \u001B[38;5;66;03m# The zipfile reader is going to advance the current file position.\u001B[39;00m\n\u001B[1;32m 1000\u001B[0m \u001B[38;5;66;03m# If we want to actually tail call to torch.jit.load, we need to\u001B[39;00m\n\u001B[1;32m 1001\u001B[0m \u001B[38;5;66;03m# reset back to the original position.\u001B[39;00m\n\u001B[1;32m 1002\u001B[0m orig_position \u001B[38;5;241m=\u001B[39m opened_file\u001B[38;5;241m.\u001B[39mtell()\n", - "File \u001B[0;32m~/miniforge3/envs/challenge_flatiron/lib/python3.10/site-packages/torch/serialization.py:444\u001B[0m, in \u001B[0;36m_open_file_like\u001B[0;34m(name_or_buffer, mode)\u001B[0m\n\u001B[1;32m 442\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m_open_file_like\u001B[39m(name_or_buffer, mode):\n\u001B[1;32m 443\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m _is_path(name_or_buffer):\n\u001B[0;32m--> 444\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43m_open_file\u001B[49m\u001B[43m(\u001B[49m\u001B[43mname_or_buffer\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mmode\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 445\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 446\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mw\u001B[39m\u001B[38;5;124m'\u001B[39m \u001B[38;5;129;01min\u001B[39;00m mode:\n", - "File \u001B[0;32m~/miniforge3/envs/challenge_flatiron/lib/python3.10/site-packages/torch/serialization.py:425\u001B[0m, in \u001B[0;36m_open_file.__init__\u001B[0;34m(self, name, mode)\u001B[0m\n\u001B[1;32m 424\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m__init__\u001B[39m(\u001B[38;5;28mself\u001B[39m, name, mode):\n\u001B[0;32m--> 425\u001B[0m \u001B[38;5;28msuper\u001B[39m()\u001B[38;5;241m.\u001B[39m\u001B[38;5;21m__init__\u001B[39m(\u001B[38;5;28;43mopen\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mname\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mmode\u001B[49m\u001B[43m)\u001B[49m)\n", - "\u001B[0;31mFileNotFoundError\u001B[0m: [Errno 2] No such file or directory: '/home/flex/Projects/Cryo-EM-Heterogeneity-Challenge-1/tutorials/results/submission_1.pt'" - ] - }, - { - "data": { - "text/plain": [ - "
" - ], - "image/png": "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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 21 - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] + ] } ], "metadata": { @@ -380,7 +268,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.10" + "version": "3.8.17" } }, "nbformat": 4,