diff --git a/Agriculture/Analysis of the movement and activity of free-ranging cattle/workingsheet.ipynb b/Agriculture/Analysis of the movement and activity of free-ranging cattle/workingsheet.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..6b5f60a9edc23a97885af4ae573e4838c00842c4 --- /dev/null +++ b/Agriculture/Analysis of the movement and activity of free-ranging cattle/workingsheet.ipynb @@ -0,0 +1,827 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "69069d89-9ed9-4942-a037-16c7734bc715", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "C:\\Users\\Chris Waisi\\newpythonversion\\Lib\\site-packages\\pandas\\__init__.py\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pylab as plt\n", + "import seaborn as sns\n", + "\n", + "import pandas as pd\n", + "print(pd.__file__)\n", + "\n", + "from glob import glob\n", + "import os\n", + "import librosa\n", + "import librosa.display\n", + "import IPython.display as ipd\n", + "#from pyAudioAnalysis import audioTrainTest as aT\n", + "from itertools import cycle\n", + "from scipy.io import wavfile\n", + "\n", + "sns.set_theme(style=\"white\", palette=None)\n", + "color_pal = plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"]\n", + "color_cycle = cycle(plt.rcParams[\"axes.prop_cycle\"].by_key()[\"color\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "9982a8a8-1191-45b2-9119-63391d8bc41e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "C:\\Users\\Chris Waisi\\improvement_Analysis_of_the_movement_and_activity_of_free-ranging_cattle\\machine-learning-services\\Agriculture\\Analysis of the movement and activity of free-ranging cattle\\MLaudio\n" + ] + }, + { + "ename": "FileNotFoundError", + "evalue": "[WinError 2] The system cannot find the file specified: 'C:\\\\Users\\\\Chris Waisi\\\\improvement_Analysis_of_the_movement_and_activity_of_free-ranging_cattle\\\\machine-learning-services\\\\Agriculture\\\\Analysis of the movement and activity of free-ranging cattle\\\\MLaudio'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[5], line 5\u001b[0m\n\u001b[0;32m 3\u001b[0m new_path \u001b[38;5;241m=\u001b[39m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(path,file_name)\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28mprint\u001b[39m(new_path)\n\u001b[1;32m----> 5\u001b[0m \u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mchdir\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnew_path\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 2] The system cannot find the file specified: 'C:\\\\Users\\\\Chris Waisi\\\\improvement_Analysis_of_the_movement_and_activity_of_free-ranging_cattle\\\\machine-learning-services\\\\Agriculture\\\\Analysis of the movement and activity of free-ranging cattle\\\\MLaudio'" + ] + } + ], + "source": [ + "path = os.getcwd()\n", + "file_name = \"MLaudio\"\n", + "new_path = os.path.join(path,file_name)\n", + "print(new_path)\n", + "os.chdir(new_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "b5a214dc-5af8-47f0-beb4-9f112b916828", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['.ipynb_checkpoints', 'notebook.ipynb', 'README.md']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.listdir()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "a53516fc-9f71-41a5-89da-ceb2d9c78933", + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[WinError 3] The system cannot find the path specified: 'path'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[18], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m glob(\u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlistdir\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mpath\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 3] The system cannot find the path specified: 'path'" + ] + } + ], + "source": [ + "glob(os.listdir('path'))" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "877e96c5-b067-4145-9fab-8d1085d161f1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['birds/bird_sound.mp3']" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "glob('birds/bird_sound.mp3')" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "3f69ffba-f5f2-4827-9b30-af1a31b7fd65", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Chris Waisi\\AppData\\Local\\Temp\\ipykernel_18508\\779210535.py:1: UserWarning: PySoundFile failed. Trying audioread instead.\n", + " y, Sr = librosa.load('bird_sound.mp3')\n" + ] + }, + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'bird_sound.mp3'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mLibsndfileError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\librosa\\core\\audio.py:176\u001b[0m, in \u001b[0;36mload\u001b[1;34m(path, sr, mono, offset, duration, dtype, res_type)\u001b[0m\n\u001b[0;32m 175\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 176\u001b[0m y, sr_native \u001b[38;5;241m=\u001b[39m \u001b[43m__soundfile_load\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moffset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mduration\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 178\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m sf\u001b[38;5;241m.\u001b[39mSoundFileRuntimeError \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[0;32m 179\u001b[0m \u001b[38;5;66;03m# If soundfile failed, try audioread instead\u001b[39;00m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\librosa\\core\\audio.py:209\u001b[0m, in \u001b[0;36m__soundfile_load\u001b[1;34m(path, offset, duration, dtype)\u001b[0m\n\u001b[0;32m 207\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 208\u001b[0m \u001b[38;5;66;03m# Otherwise, create the soundfile object\u001b[39;00m\n\u001b[1;32m--> 209\u001b[0m context \u001b[38;5;241m=\u001b[39m \u001b[43msf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mSoundFile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 211\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m context \u001b[38;5;28;01mas\u001b[39;00m sf_desc:\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\soundfile.py:658\u001b[0m, in \u001b[0;36mSoundFile.__init__\u001b[1;34m(self, file, mode, samplerate, channels, subtype, endian, format, closefd)\u001b[0m\n\u001b[0;32m 656\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_info \u001b[38;5;241m=\u001b[39m _create_info_struct(file, mode, samplerate, channels,\n\u001b[0;32m 657\u001b[0m \u001b[38;5;28mformat\u001b[39m, subtype, endian)\n\u001b[1;32m--> 658\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_file \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode_int\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclosefd\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 659\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mset\u001b[39m(mode)\u001b[38;5;241m.\u001b[39missuperset(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr+\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mseekable():\n\u001b[0;32m 660\u001b[0m \u001b[38;5;66;03m# Move write position to 0 (like in Python file objects)\u001b[39;00m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\soundfile.py:1216\u001b[0m, in \u001b[0;36mSoundFile._open\u001b[1;34m(self, file, mode_int, closefd)\u001b[0m\n\u001b[0;32m 1215\u001b[0m err \u001b[38;5;241m=\u001b[39m _snd\u001b[38;5;241m.\u001b[39msf_error(file_ptr)\n\u001b[1;32m-> 1216\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m LibsndfileError(err, prefix\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mError opening \u001b[39m\u001b[38;5;132;01m{0!r}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname))\n\u001b[0;32m 1217\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m mode_int \u001b[38;5;241m==\u001b[39m _snd\u001b[38;5;241m.\u001b[39mSFM_WRITE:\n\u001b[0;32m 1218\u001b[0m \u001b[38;5;66;03m# Due to a bug in libsndfile version <= 1.0.25, frames != 0\u001b[39;00m\n\u001b[0;32m 1219\u001b[0m \u001b[38;5;66;03m# when opening a named pipe in SFM_WRITE mode.\u001b[39;00m\n\u001b[0;32m 1220\u001b[0m \u001b[38;5;66;03m# See http://github.com/erikd/libsndfile/issues/77.\u001b[39;00m\n", + "\u001b[1;31mLibsndfileError\u001b[0m: Error opening 'bird_sound.mp3': System error.", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[20], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m y, Sr \u001b[38;5;241m=\u001b[39m \u001b[43mlibrosa\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mbird_sound.mp3\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\librosa\\core\\audio.py:184\u001b[0m, in \u001b[0;36mload\u001b[1;34m(path, sr, mono, offset, duration, dtype, res_type)\u001b[0m\n\u001b[0;32m 180\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(path, (\u001b[38;5;28mstr\u001b[39m, pathlib\u001b[38;5;241m.\u001b[39mPurePath)):\n\u001b[0;32m 181\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[0;32m 182\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPySoundFile failed. Trying audioread instead.\u001b[39m\u001b[38;5;124m\"\u001b[39m, stacklevel\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 183\u001b[0m )\n\u001b[1;32m--> 184\u001b[0m y, sr_native \u001b[38;5;241m=\u001b[39m \u001b[43m__audioread_load\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moffset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mduration\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 185\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 186\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\decorator.py:232\u001b[0m, in \u001b[0;36mdecorate.<locals>.fun\u001b[1;34m(*args, **kw)\u001b[0m\n\u001b[0;32m 230\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kwsyntax:\n\u001b[0;32m 231\u001b[0m args, kw \u001b[38;5;241m=\u001b[39m fix(args, kw, sig)\n\u001b[1;32m--> 232\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mcaller\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mextras\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkw\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\librosa\\util\\decorators.py:59\u001b[0m, in \u001b[0;36mdeprecated.<locals>.__wrapper\u001b[1;34m(func, *args, **kwargs)\u001b[0m\n\u001b[0;32m 50\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Warn the user, and then proceed.\"\"\"\u001b[39;00m\n\u001b[0;32m 51\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[0;32m 52\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{:s}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;132;01m{:s}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;124mDeprecated as of librosa version \u001b[39m\u001b[38;5;132;01m{:s}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 53\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;124mIt will be removed in librosa version \u001b[39m\u001b[38;5;132;01m{:s}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 57\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m3\u001b[39m, \u001b[38;5;66;03m# Would be 2, but the decorator adds a level\u001b[39;00m\n\u001b[0;32m 58\u001b[0m )\n\u001b[1;32m---> 59\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\librosa\\core\\audio.py:240\u001b[0m, in \u001b[0;36m__audioread_load\u001b[1;34m(path, offset, duration, dtype)\u001b[0m\n\u001b[0;32m 237\u001b[0m reader \u001b[38;5;241m=\u001b[39m path\n\u001b[0;32m 238\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 239\u001b[0m \u001b[38;5;66;03m# If the input was not an audioread object, try to open it\u001b[39;00m\n\u001b[1;32m--> 240\u001b[0m reader \u001b[38;5;241m=\u001b[39m \u001b[43maudioread\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maudio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 242\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m reader \u001b[38;5;28;01mas\u001b[39;00m input_file:\n\u001b[0;32m 243\u001b[0m sr_native \u001b[38;5;241m=\u001b[39m input_file\u001b[38;5;241m.\u001b[39msamplerate\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\audioread\\__init__.py:127\u001b[0m, in \u001b[0;36maudio_open\u001b[1;34m(path, backends)\u001b[0m\n\u001b[0;32m 125\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m BackendClass \u001b[38;5;129;01min\u001b[39;00m backends:\n\u001b[0;32m 126\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 127\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mBackendClass\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 128\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m DecodeError:\n\u001b[0;32m 129\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\audioread\\rawread.py:59\u001b[0m, in \u001b[0;36mRawAudioFile.__init__\u001b[1;34m(self, filename)\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, filename):\n\u001b[1;32m---> 59\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fh \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfilename\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\n\u001b[0;32m 61\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 62\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_file \u001b[38;5;241m=\u001b[39m aifc\u001b[38;5;241m.\u001b[39mopen(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fh)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'bird_sound.mp3'" + ] + } + ], + "source": [ + "y, Sr = librosa.load('bird_sound.mp3')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "cf79292b-e63c-4cdd-8a6f-9e0d1e2532d3", + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "rate must be specified when data is a numpy array or list of audio samples.", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[21], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mipd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mAudio\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mbird_sound.mp3\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\IPython\\lib\\display.py:129\u001b[0m, in \u001b[0;36mAudio.__init__\u001b[1;34m(self, data, filename, url, embed, rate, autoplay, normalize, element_id)\u001b[0m\n\u001b[0;32m 127\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata, \u001b[38;5;28mbytes\u001b[39m):\n\u001b[0;32m 128\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m rate \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m--> 129\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrate must be specified when data is a numpy array or list of audio samples.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 130\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata \u001b[38;5;241m=\u001b[39m Audio\u001b[38;5;241m.\u001b[39m_make_wav(data, rate, normalize)\n", + "\u001b[1;31mValueError\u001b[0m: rate must be specified when data is a numpy array or list of audio samples." + ] + } + ], + "source": [ + "ipd.Audio('bird_sound.mp3')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "cad4e3bc-2280-4db8-a4b8-045bdb261727", + "metadata": {}, + "outputs": [], + "source": [ + "#ipd.Audio('bird30.mp3')" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "8e521c31-61ab-47b1-ba57-d8de9a609157", + "metadata": {}, + "outputs": [], + "source": [ + "#df = pd.read('birds6.mp3')" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "cbe04b3e-c494-4e8c-98cd-dc78d9b66e94", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "C:\\Users\\Chris Waisi\\Klasure Machine Learning\\MLaudio\\Mlaudio/cars\n" + ] + } + ], + "source": [ + "path = os.getcwd()\n", + "file_name = \"Mlaudio/cars\"\n", + "new_path = os.path.join(path,file_name)\n", + "print(new_path)\n", + "#os.chdir(new_path)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "c0eb26ea-12f0-4624-ab38-f691140fadb1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['.ipynb_checkpoints', 'birds', 'cars']\n" + ] + } + ], + "source": [ + "print(os.listdir())" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "7c889628-98fc-45dc-a2ce-a787e7dd7f77", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['birds/bird_sound.mp3']" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "glob('birds/bird_sound.mp3')" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "366ba360-d846-418d-bf82-7ed404b2cf9b", + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "rate must be specified when data is a numpy array or list of audio samples.", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[27], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mipd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mAudio\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mbird_sound.mp3\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\IPython\\lib\\display.py:129\u001b[0m, in \u001b[0;36mAudio.__init__\u001b[1;34m(self, data, filename, url, embed, rate, autoplay, normalize, element_id)\u001b[0m\n\u001b[0;32m 127\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata, \u001b[38;5;28mbytes\u001b[39m):\n\u001b[0;32m 128\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m rate \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m--> 129\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrate must be specified when data is a numpy array or list of audio samples.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 130\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata \u001b[38;5;241m=\u001b[39m Audio\u001b[38;5;241m.\u001b[39m_make_wav(data, rate, normalize)\n", + "\u001b[1;31mValueError\u001b[0m: rate must be specified when data is a numpy array or list of audio samples." + ] + } + ], + "source": [ + "ipd.Audio('bird_sound.mp3')" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "ab98eed7-1d48-4aa7-8362-346160ec3e25", + "metadata": {}, + "outputs": [ + { + "ename": "ValueError", + "evalue": "rate must be specified when data is a numpy array or list of audio samples.", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[28], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m#playing audio file\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[43mipd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mAudio\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mbirds10.mp3\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\IPython\\lib\\display.py:129\u001b[0m, in \u001b[0;36mAudio.__init__\u001b[1;34m(self, data, filename, url, embed, rate, autoplay, normalize, element_id)\u001b[0m\n\u001b[0;32m 127\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata, \u001b[38;5;28mbytes\u001b[39m):\n\u001b[0;32m 128\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m rate \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m--> 129\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrate must be specified when data is a numpy array or list of audio samples.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 130\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdata \u001b[38;5;241m=\u001b[39m Audio\u001b[38;5;241m.\u001b[39m_make_wav(data, rate, normalize)\n", + "\u001b[1;31mValueError\u001b[0m: rate must be specified when data is a numpy array or list of audio samples." + ] + } + ], + "source": [ + "#playing audio file\n", + "ipd.Audio('birds10.mp3')" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "aa5ae94d-5565-43c1-b4d9-a6a15d519c82", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'y' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[29], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43my\u001b[49m\n", + "\u001b[1;31mNameError\u001b[0m: name 'y' is not defined" + ] + } + ], + "source": [ + "y" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "a76ee969-e21a-4714-927c-dcfb1f902751", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Chris Waisi\\AppData\\Local\\Temp\\ipykernel_18508\\779210535.py:1: UserWarning: PySoundFile failed. Trying audioread instead.\n", + " y, Sr = librosa.load('bird_sound.mp3')\n" + ] + }, + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'bird_sound.mp3'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mLibsndfileError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\librosa\\core\\audio.py:176\u001b[0m, in \u001b[0;36mload\u001b[1;34m(path, sr, mono, offset, duration, dtype, res_type)\u001b[0m\n\u001b[0;32m 175\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 176\u001b[0m y, sr_native \u001b[38;5;241m=\u001b[39m \u001b[43m__soundfile_load\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moffset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mduration\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 178\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m sf\u001b[38;5;241m.\u001b[39mSoundFileRuntimeError \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[0;32m 179\u001b[0m \u001b[38;5;66;03m# If soundfile failed, try audioread instead\u001b[39;00m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\librosa\\core\\audio.py:209\u001b[0m, in \u001b[0;36m__soundfile_load\u001b[1;34m(path, offset, duration, dtype)\u001b[0m\n\u001b[0;32m 207\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 208\u001b[0m \u001b[38;5;66;03m# Otherwise, create the soundfile object\u001b[39;00m\n\u001b[1;32m--> 209\u001b[0m context \u001b[38;5;241m=\u001b[39m \u001b[43msf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mSoundFile\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 211\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m context \u001b[38;5;28;01mas\u001b[39;00m sf_desc:\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\soundfile.py:658\u001b[0m, in \u001b[0;36mSoundFile.__init__\u001b[1;34m(self, file, mode, samplerate, channels, subtype, endian, format, closefd)\u001b[0m\n\u001b[0;32m 656\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_info \u001b[38;5;241m=\u001b[39m _create_info_struct(file, mode, samplerate, channels,\n\u001b[0;32m 657\u001b[0m \u001b[38;5;28mformat\u001b[39m, subtype, endian)\n\u001b[1;32m--> 658\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_file \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode_int\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclosefd\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 659\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mset\u001b[39m(mode)\u001b[38;5;241m.\u001b[39missuperset(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr+\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mseekable():\n\u001b[0;32m 660\u001b[0m \u001b[38;5;66;03m# Move write position to 0 (like in Python file objects)\u001b[39;00m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\soundfile.py:1216\u001b[0m, in \u001b[0;36mSoundFile._open\u001b[1;34m(self, file, mode_int, closefd)\u001b[0m\n\u001b[0;32m 1215\u001b[0m err \u001b[38;5;241m=\u001b[39m _snd\u001b[38;5;241m.\u001b[39msf_error(file_ptr)\n\u001b[1;32m-> 1216\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m LibsndfileError(err, prefix\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mError opening \u001b[39m\u001b[38;5;132;01m{0!r}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname))\n\u001b[0;32m 1217\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m mode_int \u001b[38;5;241m==\u001b[39m _snd\u001b[38;5;241m.\u001b[39mSFM_WRITE:\n\u001b[0;32m 1218\u001b[0m \u001b[38;5;66;03m# Due to a bug in libsndfile version <= 1.0.25, frames != 0\u001b[39;00m\n\u001b[0;32m 1219\u001b[0m \u001b[38;5;66;03m# when opening a named pipe in SFM_WRITE mode.\u001b[39;00m\n\u001b[0;32m 1220\u001b[0m \u001b[38;5;66;03m# See http://github.com/erikd/libsndfile/issues/77.\u001b[39;00m\n", + "\u001b[1;31mLibsndfileError\u001b[0m: Error opening 'bird_sound.mp3': System error.", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[30], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m y, Sr \u001b[38;5;241m=\u001b[39m \u001b[43mlibrosa\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mbird_sound.mp3\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\librosa\\core\\audio.py:184\u001b[0m, in \u001b[0;36mload\u001b[1;34m(path, sr, mono, offset, duration, dtype, res_type)\u001b[0m\n\u001b[0;32m 180\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(path, (\u001b[38;5;28mstr\u001b[39m, pathlib\u001b[38;5;241m.\u001b[39mPurePath)):\n\u001b[0;32m 181\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[0;32m 182\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPySoundFile failed. Trying audioread instead.\u001b[39m\u001b[38;5;124m\"\u001b[39m, stacklevel\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m\n\u001b[0;32m 183\u001b[0m )\n\u001b[1;32m--> 184\u001b[0m y, sr_native \u001b[38;5;241m=\u001b[39m \u001b[43m__audioread_load\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43moffset\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mduration\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 185\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 186\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m exc\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\decorator.py:232\u001b[0m, in \u001b[0;36mdecorate.<locals>.fun\u001b[1;34m(*args, **kw)\u001b[0m\n\u001b[0;32m 230\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m kwsyntax:\n\u001b[0;32m 231\u001b[0m args, kw \u001b[38;5;241m=\u001b[39m fix(args, kw, sig)\n\u001b[1;32m--> 232\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mcaller\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mextras\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkw\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\librosa\\util\\decorators.py:59\u001b[0m, in \u001b[0;36mdeprecated.<locals>.__wrapper\u001b[1;34m(func, *args, **kwargs)\u001b[0m\n\u001b[0;32m 50\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Warn the user, and then proceed.\"\"\"\u001b[39;00m\n\u001b[0;32m 51\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[0;32m 52\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{:s}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;132;01m{:s}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;124mDeprecated as of librosa version \u001b[39m\u001b[38;5;132;01m{:s}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 53\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;124mIt will be removed in librosa version \u001b[39m\u001b[38;5;132;01m{:s}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 57\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m3\u001b[39m, \u001b[38;5;66;03m# Would be 2, but the decorator adds a level\u001b[39;00m\n\u001b[0;32m 58\u001b[0m )\n\u001b[1;32m---> 59\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\librosa\\core\\audio.py:240\u001b[0m, in \u001b[0;36m__audioread_load\u001b[1;34m(path, offset, duration, dtype)\u001b[0m\n\u001b[0;32m 237\u001b[0m reader \u001b[38;5;241m=\u001b[39m path\n\u001b[0;32m 238\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 239\u001b[0m \u001b[38;5;66;03m# If the input was not an audioread object, try to open it\u001b[39;00m\n\u001b[1;32m--> 240\u001b[0m reader \u001b[38;5;241m=\u001b[39m \u001b[43maudioread\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43maudio_open\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 242\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m reader \u001b[38;5;28;01mas\u001b[39;00m input_file:\n\u001b[0;32m 243\u001b[0m sr_native \u001b[38;5;241m=\u001b[39m input_file\u001b[38;5;241m.\u001b[39msamplerate\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\audioread\\__init__.py:127\u001b[0m, in \u001b[0;36maudio_open\u001b[1;34m(path, backends)\u001b[0m\n\u001b[0;32m 125\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m BackendClass \u001b[38;5;129;01min\u001b[39;00m backends:\n\u001b[0;32m 126\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 127\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mBackendClass\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpath\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 128\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m DecodeError:\n\u001b[0;32m 129\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n", + "File \u001b[1;32m~\\newpythonversion\\Lib\\site-packages\\audioread\\rawread.py:59\u001b[0m, in \u001b[0;36mRawAudioFile.__init__\u001b[1;34m(self, filename)\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, filename):\n\u001b[1;32m---> 59\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fh \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfilename\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\n\u001b[0;32m 61\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 62\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_file \u001b[38;5;241m=\u001b[39m aifc\u001b[38;5;241m.\u001b[39mopen(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fh)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'bird_sound.mp3'" + ] + } + ], + "source": [ + "y, Sr = librosa.load('bird_sound.mp3')" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "7d5a12cd-935b-43cb-adc2-afa03e1191ab", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ..., 3.2147800e-05,\n", + " 3.2587792e-05, 1.0273507e-05], dtype=float32)" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "b88f0853-7c90-4418-917a-09ece3fff9a4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "22050" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Sr" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "4727b22d-b6ba-4426-b2d0-bba70c1af7b9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'birds and walking.mp3'" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "os.listdir()[0] # Loading mp3 audio file" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "72ad03bb-de6d-48cf-b51e-242e3811e356", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "y:[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", + "shape y :(65489,)\n", + "sr: 22050\n" + ] + } + ], + "source": [ + "y, sr = librosa.load(os.listdir()[0], duration=2.97)\n", + "print(f'y:{y[:10]}')\n", + "print(f'shape y :{y.shape}')\n", + "print(f'sr: {sr}')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a7742c19-8177-4a94-8e8d-dec212a78304", + "metadata": {}, + "outputs": [], + "source": [ + "pd.Series(y)" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "12018414-23dd-41fe-9ea6-2fb08420f3ae", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 800x400 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pd.Series(y).plot(figsize = (8,4), lw=1, title='Raw Audio Example')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "b4a22438-43a0-4c9e-b863-99a9969775ab", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([ 1.5687730e-05, 7.9972597e-06, 8.3588020e-06, ...,\n", + " 3.3685318e-03, -8.8896952e-04, -2.2304212e-03], dtype=float32),\n", + " array([ 2560, 65489]))" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "librosa.effects.trim(y)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "588f0db1-e840-4704-b5df-9bd90540dc28", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1025, 128)" + ] + }, + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#spectogram\n", + "D = librosa.stft(y)\n", + "S_db = librosa.amplitude_to_db(np.abs(D), ref=np.max)\n", + "S_db.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "52ae62c8-e302-49b2-bf00-1b2703c915f9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "<Figure size 1000x500 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot the transformed audio data\n", + "fig, ax = plt.subplots(figsize=(10,5))\n", + "image = librosa.display.specshow(S_db,\n", + " x_axis='time',\n", + " y_axis='log',\n", + " ax=ax)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "b8853c84-f1f8-4741-bf0a-e1fd6bbd90a3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1025, 128)" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Mel Spectogram \n", + "S = librosa.feature.melspectrogram(y=y,\n", + " sr=sr,\n", + " n_mels=128,)\n", + "S_db_mel = librosa.amplitude_to_db(np.abs(D), ref=np.max)\n", + "S_db_mel.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "8414c7a3-9843-4f90-b07b-8e6cab9a8c3e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Go1JbW7vLDY7I3o8V3XTT7bs1Hbjq9qO2cePGSX5+vjQ0NMiqVatk3Lhx8tVXX0l1dbUcdthhuwVBIiLd3d3Jv1esWLHH31I//12ayWSSUaNGyahRo+T888+Xf/3rX/L73/9eenp65OWXX5Zzzz0XPt8f9WGnNmxXV1fKNX+dQgw7P+/3+1PO+V3ZrkL3O71obre73+/ufJ87PWc76Rs7PXz9feebXI+ISEtLi9xyyy3y/vvvAwBzOBwyatQoicVisnz58t2et79rEpEUj+NAsDlz5sh9990nIjs2JrtT4xiIz8bj8ezxt/obw3s7VnTTTbfv1nTgqtuP2gwGgxx22GHy+OOPy1tvvSXjxo37WjQBEW1B83q98vnnn/9Pr/O5556Txx9/XIqLi+Xhhx/e7ecMBoOcc8458uabb8rKlSuTnkXVdqVEsNN2LqY7PaHqor1ixYqvDULV7wUCgV16wL5L23ldewIDOwH5zs87HA4R6T+0vjcZ4OFwWM455xzZsmWLeL1eOf3002XkyJFSVlYmgwYNEpPJJPfee2+/4OyHZpFIRK6++moR2QEcq6ur5c4775RbbrkFPjdQn01vb69kZGSk/Lvap/rrx3s7VnTTTbfv1gbell433b5j21lcYGcxgjfffFPS0tJ2yb9TbfDgwSKyw7vY0tKy288tW7ZMtmzZslu+3tcxk8kkW7ZskUWLFn2tJK+d4etdLcRbtmzZbdGFnZzdnclGxcXFSd5ff8kkq1evlg0bNiRBnvo9lVKh2pdffimnn366XHvttf0Wgfg6NmTIEBERqa6u3i0IjcfjsnbtWhGRZEnZnXJbu5IA22nr16//xtfz7rvvypYtW8RsNst//vMfufTSS+Xggw+WwYMHJ5/L7qSefqj2l7/8RdauXSs5OTny0EMPidFolGeeeUY++ugj+NxAfTa766c737/T6QQeLdvejhXddNPtuzUduOr2o7exY8dKQUGB1NfXy1NPPSV1dXVy0EEH7TGbvKysLAmAnnzyyV1+Zvny5fLTn/5UjjzySFm1atVeX+OcOXPE6XRKOByWP/7xj/1+tq2tLZkItivw3drausvEkObmZnn33XdFRKss5nK5kuLr//rXv3b5ezU1NXLGGWfIsccem0xyc7lcyaSl3akGvPbaa7JixQqpra1Ncot3/v+bAtkJEyaIx+ORvr4+eeqpp3b5mddff11aWlrEYDAkM853JqOtXLlStmzZkvKdtra2fnVcd2c7VQvS0tJ2mczU2tqaTBD7LjR+97UtXbo0qXU6b948mTVrlpx55pkiInL99ddLe3t78rMD9dm88MILu/z3Z555RkREDjzwwN1yw0X2fqzopptu363pwFW3/xO2E6jdc889IrLnogM77Te/+Y2IiPz973+XRx55JJmcIbLD07rz+NixY2Xq1Kl7fX1er1d++9vfisiOCljnnXeerF69Gj4Tj8dl0aJFcvbZZ0t3d7cceeSRMm7cuF2e7/rrr5dly5Yl27W1tfKrX/1Kenp6ZPLkySBfdPHFF4vJZJLXXntN7rjjDvAUbdy4Uc4//3yJRqNSWFgoxxxzTPLYhRdeKAaDQV5++WV56KGHpK+vL3nspZdeSiYCnXfeecl/3xle3ZOcF5vD4ZDzzz9fRHZ4/p566ingTi5YsEBuuukmERE59dRTk97yyspKOfjggyUej8tFF10EnrL6+nq58MIL9ypDf6cHuLOzU5544gkA4qtWrZJzzz03yQPu7e39xucfSBYIBOTqq6+WeDwuxx9/fHKz9Nvf/lYGDRokLS0tyWcvMnCfzdtvvy1//vOfk/00Go3KvffeKwsWLBCr1SoXXXTRHs+xt2NFN910++5M57jq9n/CjjjiCPnHP/4hwWBQPB4PALf+7KijjpKqqiq5//775e6775aHH35YSktLpb29Xerq6kRkB6XgwQcf/NbXuFNB4L777pNPPvlEPvnkE8nIyJD8/HwREamrq0tmYx9++OHJ8qRsbrdbbDab/PSnP5XBgweL3W6XjRs3SiwWk+HDh8tdd90F5WQnTJgg8+bNk5tvvlkef/xxefbZZ6WsrEyCwaBUV1dLIpGQrKwseeyxxyCTetq0aXLttdfKH/7wB7n33nvlH//4hxQXF0tjY6O0traKyA41BlW6aMSIESKygyN4+OGHy9ChQ+WBBx74Ws9n7ty5UltbK88884zcdtttcv/99yd/r7m5WUREDjvssKS+6E6bN2+eVFdXy6ZNm+Too4+WoUOHislkkk2bNonZbJaKigrZsGHDNyrTedBBB8m4ceNk5cqV8vvf/14eeeQRyc3NlZaWFmlqahKDwSD777+/LFy4UJqbmyWRSOy2hO/3ZWvXrpXTTz/9a322srJSbrzxRhHZkUFfV1cn2dnZct111yU/43A45He/+52cc8458s4778gLL7wgJ5988oB9NuXl5fLggw/K008/LcXFxVJTUyN+v1/sdrvccccdScDdn+3tWNFNN92+O9OBq27/J2z06NFSVFQktbW1csghh+xWwmdX9utf/1qmT58u//73v2XZsmWyfv16sVgsUllZKYcccoicc84531mixs9+9jM5/PDD5aWXXpKFCxfK9u3bZevWrWI0GiU7O1vmzJkjxx57rEybNm2353A6nfL888/Ln//8Z3n//felsbFRhg4dKscee6ycccYZu8zYPumkk2Ts2LHyxBNPyMKFC2XTpk1iMBikrKxMZs+eLT//+c93KW11zjnnyLhx4+SJJ56QJUuWyIYNGyQtLU1mzZolP/vZz2T//feHzx9//PGydetWefnll6W2tlai0ehuJZHYDAaD3HLLLXLIIYfI008/LatWrZJ169ZJRkaGHHjggXLyySfvUt7M5/PJc889J48++qi89dZbsn37drHZbHLggQfKxRdfLE8//bRs2LAhmcj1dcxkMskTTzwh//rXv+T111+Xmpoa2bhxo2RnZ8uRRx4pZ555plRWVsqUKVPE7/fLihUrdqkH+31aIBD4WuoYIpq01BtvvCGvvPKKiIjcdtttKZn5U6ZMkdNPP12efvppuf3222XKlClSXFw8IJ/N1VdfLdXV1fLMM8/Ihg0bJDMzUw466CA577zzpKys7GufZ2/Him666fbdmCHxbbMmdNNNtwFh//3vf+Xaa6+V3NzcpFC6bnu2Sy65RBYsWCCXXXaZXHDBBfv6cnT7jm2nLus///nPlI2Ubrrp9sMzneOqm266/Wjts88+kzlz5iS5yGy9vb2yZMkSEdkRHtdNN910021gmw5cddNNtx+tjRgxQpqamuStt96Sxx57DBLI2tra5IorrpCOjg4ZMmRIv/QL3XTTTTfdBobpwFU33XT70ZrP55MrrrhCRET++Mc/ygEHHCAnnniiHHHEETJr1ix59913JS8vT+67775vxHvWTTfddPshWTwel7/85S8yY8YMGTt2rPziF7+Qmpqa3X6+o6NDLr/8cpk0aZJMnjxZbr311hQVkDfffFOOPPJIGT16tBx//PFJmcb/tenAVTfddPtR289+9jN54YUX5JhjjhGv1ytbt26V1tZWGTp0qFx88cUyf/783dan10033XT7MdhORY158+bJs88+K/F4XM477zyQeFTtkksukerqann88cflz3/+s3z00UdQJW/x4sVy5ZVXymmnnSYvvfSSTJs2Tc4///xd6mV/16YnZ+mmm2666aabbrr9SC0SicjUqVPliiuukDPOOENEdpTHnjFjhtx+++1y9NFHw+dXrlwpp512mrzxxhtJxY1PP/1UzjvvPPnoo48kNzdX5s6dK263W+67777k90477TQpLy+X22677X96P7rHVTfddNNNN9100+1HauvXr5dgMAg8/vT0dKmsrJSlS5emfH7ZsmWSnZ0NMnGTJ08Wg8Egy5cvl3g8LitWrEjJC5gyZcouz/ddm67juhc2ceJEiUQiyXrxuummm2666abbwLeWlhaxWq1QWfD7sjPPPFMaGhr2+vvNzc2Sk5Oz2+PvvffeLv+9sbFRRCRZzGan5eTkJI+p1tTUlPJZq9UqXq9XGhoapKurS3p6eiQvL+9rne+7Nh247oWFw2EJh8Oydeu2fX0puummm2666abb1zSLxSz7iiHZ0NAgDQ31kp/v24vvtovI3lWY25lUxdXcbDZbshojf35Xld9sNpuEw2EJhUK7PV84HN6ra/wmpgPXvbCcnBzZunWbVFXtPiNPtx+XmUxYGSsWC+7mk7rppptuug1UKy0tluLi4n32+/n5GfL2gnnf+HuHHnaDiDh261Xtz+x2u4js4Lru/FtkhxNuVxUD7Xb7LpO2wuGwOJ1OsdlsyfPx8W9SgXBvTQeuPwJLT8OM6EBvVfLvePx/v/v5X5nRgPJEdhuGLkxGG7SDoe3Jvw0G7No2C5ZgDEVaoJ1mL4L2aMth0I4LliXdnFgC7ZYuLezkdg6DYx5rIbT7EvhOmruxDCe/M36/4SjukMOR3Ydm9vQMXdTOMg6GdmscowqhPj+2Ix3JvwtdE+FYb7wD2o2dKJWS50F+1CDDaGgbybvQasQQW2Pvl8m/w1G8rmhfu3yXZqS+lkjElL/7+OPfyCp8J0M7I54F7YChG9ohQyD597bOd+FYuqMU2mlmpDNFEihnYzbgfXWFa/G3e7fu5qpTzWkfBO1wtI0+YYJWLNYFbbutANo+x1BoR+M9yb/V8SYiYjBQugZ51BKCbZsVQ5zZzuHQ9oe3QzsU1fqT05YLx4Ih7Jd8LTzGeN6yGHGhjyWi0O6N7r4vf9t+b6Axxs/pm3zXYLRDOx7HvvZ92kTvL6DtSmiOhybju/zxH73tDPs3NzfLoEHaOG1ubt6lokpeXp68+y4+p0gkIn6/X3JycsTr9YrT6ZTm5mb4THNzs+Tm4vj4X5gOXH8Alu89ANppRlzY1AVcRKTCc1zy7+4EdqzGwCpo+wgUdYXQixwK10ObQVQogotTLK7twNLsOGH3hhEs8iTLYDPdiQuX0YjH++K42/OmlSf/dplxYarx4y7V5cDa5G4rXuuE9AxoO2mkeNtn4/kztOeypuMpOFZqmwrt+hi+rxz3eGgzwFM3IiIImkREMlz7Jf9moMLANRRHsOAxIVjoTeBxXjQZNEeiWv/qEwTc/NtDMjBzdbxxFLS3xbCv4l2KlMbwnZkc2vnrDV/AsUzqp7xZaOteBW0DAbjcdHwngQheW3fPpuTfDNjSbbhR6aQxxf04L4bvYLAjHdpdUS+02/tCyb+z3GfBMVsCQ3dOwXavIMiuNeLGxGhD0JXvGANtjwKqbQl8ZgEjAuwvQk9A22pBbh4D15I0LMfqTLihHTJpUY7sDJwbErSx7DMg+DMSaO6KI9is9X8IbW/aCGgblDzmaB9GWyxmF163FTfJFcYZ0LbRO4lRT681oZyQSRlHrcF1cIxBcb77YGiHJADt6s4PoO0gEO604NpiN3mSfzd0L4djfbSJtZjwffXRO+ENuZV+y2jE5xLt0+aaPUW4fG6cSwoMGIpX9xIthr0Lt39nlhCReHyPH9vl9/by0ocPHy4ul0s+//zzJHDt6uqStWvXyplnnpny+UmTJsndd98t1dXVUlJSIiKSrDA4YcIEMRgMMn78eFmyZImccsopye99/vnnMnHixJTzfdemA9cfgBUKlqIsMyE42WLDBSEo2oCv70IQxJNHKy3gFjMCNrau4IZ+j6vWHcSFjHfzBd6Z/X7fSKIX6QYEo44Ehu89CW3B7yQA1mDyQttEINlpxPsOx8hDY8IZI91CACGqLV4TvHPhWKehFdpx8qjEEngtDht6f8NRBPzs4esIfJX8O2DGCTuNFia72QttBnQjEvtBO2HFvtdiReBaL1p/MAsCmeaer6BdmXYEtGPkFRtBXrDaMC5WS/peh3aRcVzy72LbBDgWENxQZQsCncyMIdBuCuO1Nvg/k/5M3WT1hNA7x14wBmi8QSv14ILvtmBfC0SpbdCey5a+hXDMaymBdrqQx9WAXrBBMXwOAUMPtBsT6HG1JTRQ3mPE91NHG7IsAv+JBC7W6eShd8dxDBYbEQDGlfmjKY79sNOAG6z63pXQHm6bg+cyIlic4bkY2nYDju+l8kbyb6cFnymPId5YtpjqoG2geS0zjmPUanBC22HU5jWHG59RMI793CroveUxyZGnIG2Kua16j/n9qRtmEZEgOSb2FO2LRHFezHSPhbbVoUV/wjSG2ruxr4X7cK3ZZkaHS5HyjL+JV/l/ZnsDXL+FWa1WOfPMM+Xuu+8Wn88nhYWFctddd0leXp4ceuihEovFpL29Xdxut9jtdhkzZoyMHz9eLrvsMrnlllukp6dHbrrpJjn++OOTHtVzzz1Xzj//fKmsrJSZM2fKiy++KOvWrZPbb7/9f34/OnD9AVimeKAdiWGnbzXgwtnVpw1aBqIZDgwFtwRWQ9tIiyrvillBzWLGSbYvpnmDeGISAlz1/o+lP+MFvtGEno0R7mPwyhLaAt9lxIWMvbudMT+0yy0IonMdeJ9WI4UeCXR92auBqjLnLDg2StB7025CcPFlHL0gHGpMdyC4iJD3Qf08A1P2mHYqnkKRVBBs8qGX1BdHMMl9cUWXJn0yyIPPsNQ1Hdp5cVw0J2Tjb7mpcJWrEwHdh7W4adqmeL4sZtzE8AaL6RsOCwJ89oK66JkXOhCExRUvmb8PPapuEz6zbf63oF2ecTz+lgXft4mi3l/F0QNXZihN/t1qwU0OA5mQgQAeeX+3KONVRKTANQ7a6YKbYtWrGjJgP+yJ4Hj32fEZGgzo9WwNY1/ssyHQCSfw2mKibfiqQgjY2WIUjVnufwzaTBXodOCYjMWIrmPVnnOa4JzalqiGdpEJvX+D6Blm2rCj+yM4Bj0xnOdMiputWfxwLI023E3xjdCOxNHj2ktUEI7mxWg+SFM2D90xpCS1diHFiS2NaCvxeP+UGivlEXSHNa94nK6L3x/TLzj60zcQwKpq+yA57JJLLpG+vj654YYbJBQKyaRJk+Sxxx4Ti8UitbW1MmfOHLnjjjvkxBNPFIPBIA888IDceuutcs4554jNZpPDDz9crr322uT5pk+fLr///e/lwQcflHvvvVeGDh0qDz30EEho/a9ML0CwFzZnzpz/aXIWh1jNZgQLOWkjoV2SwHbMoA3y1aE34FimAxfwtl5cPNh7xNfC3kLm/lmVHb2FJqK+GHp7mAP3TTlRHHrOSWiLS9iAE1ddfC20843Iaas0Y3h3mAeBTCSOw+SddtzRRwzaQrkhsACOlblmQ7stjgtdjDwTDEyD9E4GefB87ZGq5N8eKwKZus5Poc1eEA6JjjJjqLHauB7a7MFRw5gh8nKzZ6kwjn2v2IL9ek2M+LQU5sxK4DtqN2oLKf9WQy9SB3oJVLnteC7uq+0UkjVTGDRd4USHY+jtYWoHP/MczxRojxYED0FBwNZgROCq8q0zBd93D/FhOdweFhxjhfRMA8SBrTasgfZY0a69h+aC7cbN0K4NLIY2h4IjUeRAW2ieYw+fVQnJu6zopXSZEBxu7cB5z0C/zZ5HBnQMjNSwtYk4qbxB54jJNPsp0LbThvzd4D+hXeY6CNrrOp5L/j3MdwIcY28vg0vmMDdThI37tVB4X3UeMAWiqxfXv2zywDrJY97Yi06SSB/OFxlEDVPfqbppERFpDKBHnd/ByIyfQnu0EolY7X5Vckoy9irJ6dvanDlzRBK98varN37j7x56zDwRw94lZ/3YTPe4DkBjcFjiRo5Uehy9RXVGBJ/dfU3Jv732UjjWEUJwwECVzUCTtMSi9AkEDDHFg8MLj9nUP3nfTN7C+B54TVs7XsO28jeD2pGC/LlmQc7ixmgTtF09yB1j4MoeHDUZYE7a2XCMF6qlBvzt2u7Poc0hM3c6Ap2qDgTGqlecOahGen9ZdO7mTvzt2gz0yDNQLY5zaFl7RzYKcToT6DliEFRG3L+zMxHYtlCk8aVOXKy2tmvvvzQDk+mCvdjPXbQo+gmYMpj0OMlbSBxJ1avKXm1+xtEYAvDOXty41KfhM8+MYyj6IPskaLeGtDG4IIg80mIX3kfA4Jf+LEYhSzPdZw/RVD43vpP8e5gJudtG8qgOdeEmqCuBoMrgxM9nCXKFnXHcTNhE2yR1GfCZBhMk6UNjLkEe2Ggffr/Yi1QCBkZuhcfMVAGbAfv5NgLNGx14rrIEJiHu70SOYbWg13SoT8tZ4MQt/i2O1tityJ/mfs3GHteIEoJXKUkiqU4L5uZ/U+OEu75+uPs+jqAYJ0M7RP0jEhtI/rnEXlIFBtI97FvTgesPwDj85zRg8kY4gYNUDbm09eAkyNmzHL7jZKs+CqnzxMjk/jTFE8KgKEHJGZyVymR/NpMJ79uYwGtRPVtdMfSIdhrxOqtCOMmW2RFEBftwYglEkbfGng/VUdFFIc5mAuhhCt+x1zMQxgU+YcPfLs7ARVYFl9EEchSZ48zvJDsdeYYJShRhT0cmUUPccW0z8mnkVTjG4JDDkp9FyWvSholAViO+X/a4OhWvCntcJ3nPh3aDAb2BLiv3RRwHgSgm7/AGz+bV+mKpHdURAoLenyBxHkc6j4L2eAduknh52hREz5RV8XLnp+EzMwlGSLYH0evJfOkO8pJxhjuDtLKE9numBD4zpkz4e5AfmyDQ5SCvacCE/X6kCT2PbQr9x0y8cH8CeaR56Qj2hyXGQttCS1+VgegY5PXMj2t9r4M2A6v8uHlg7n6eIMjymXAMbY/jO2Ewqs4PY8yHwLFC4uZuNmD4vo0oMyHyO6RRfkRXEN9hilqDYnvisDLVy2jE+47TPMhOEDX8n0IzCeDcYifqDycVBhWHS1wHgD9404HrD8A43OONY0jNYUBOlSobFLGh17I5iF6v1EzO/uVU2DPF4R5/Dy4AqvVRSNVJvLJy+4HQrqVkDzYLTYTZBs1z1RDHEPckF3oeRlhPh/ZL3agEUGHC4w4zTpxb2nBx8SkAoJ08E6ragYjIfsbZ0LaZifNmwee0PYEhtlAMvUsqQIhT6JAXF+Zueogiwck67C1u60NgrC4Cg63ogeuwogfNbECP+wke9Dxlkt71C00IZMqtCKKqw9pzY+msNiOCgaYAUgfcJH9WasLkLqcTuYObCbiq/GzcIqWGipl/Wy3kgYsgeEi3Yl/jEHxZXNt8ZhiwX2/q/QjaRWkI4ApiqF+5LPIKtIdZj4R2kxHv+9POvyb/LiROczCEkQTeiLKqANM3Cj2H4vdjCPhVTu2GjhfgGD9zE81rjQ76bfLQFsYQXMYM+NtbjRrViMPzvOkxEb0qPY4e2cXxT6DdQvMFJ7VZjdr3FwWfxuskT7LN4oV2uQsjEbypqg+gUgCH+zuUyIWBEj8dNhyPzCtnsMlJihwN4gjcnji0qmW5cV1yJbzQXmfQ1hKLpOqTfq+2D1QFfmy2z4FrX1+f/PWvf5X58+eL3++XyspKufLKK2Xs2LHwuY6ODjnmmGPkT3/6k0yZonXSQCAgd911l7z33nsSiURk5syZcu2110pmpsavefHFF+Xxxx+XmpoaycnJkZNPPlnmzp0rJhMOrIFqHK7tJf7misB/oK16n0rS0ZOYaya9wgQuu/VhXobR2GPXn/FCpUoniaRmsK6PvwNtO3EgmYBvNeDE1yka0OmLI8D6LIi/FRTk1w2yY6ipNYpe0ywLgq7D0y+B9krRkkXKvLj4jzKgNJMqZyQiUsXyN+Q1M8bQE9EZRu+S6hW30OKSQtegZ8ihR7Yocd442zqU0BaBkOAmKUMQVLko6WR7AMFBmxnvc5n/ETyf93JorwjNT/6d68QFl387SiAqIejlrBfc6ATDuMBzdMDr0tQWhpkxCY0lqRYG/gHtXAJo2/uI6xnF9z/WhAC/W1l4LfRbeQ7cxHJ2fbcVNwMFDkzGChHHtSKB80VuurYZWeR/EI5xRIR5hnGWfYrgtW1oRzDKUQ2Vv8lRh5oO5P1xYlAwju9zrAHHe4DATIMROa8Vce25sg/S4CXPM2nAdthwA3ewdTa0+yyYzFkfQU/kdiVawEDVasZnnkaRhJSISQIBfmYatteFcA7OTdPum9ehphA6QdhSgSlvqvuniu0pAqeaP4LPfLR1LLTLjBq1Z33KVnMf2PesKvBjs30OXP/2t7/J888/L3/4wx+kuLhYHnnkETnvvPPkjTfeSNbkbWpqkl/96lfS0tKS8v3f/OY3smXLFrn99tuloKBA7rvvPjn77LPlpZdeEqvVKq+88orcfPPNcuONN8q0adNkzZo1cuONN0okEpGLLrro+77dvbKGnlXQ9lFocUoacqTajRpAbO0jORsjggfm07IY+rbuD/H7FvREsfSLusvmY7E4AhsnCY4HQ7hYhEhY304JE11x/HyuS5tkWTuxh0AV82O5MpbPdS60+0izkhNT1OfKHpltCeTP1gkmirX60aM6xIvAhs1pJa1FBeBzeN5ixs/ycc6uZ+5g1IALZUuCyhwreC5M3nfeaBQbMIkwFEOPudeKkODkzGuhXdeHXjJ1EWegurIDE17YIxelbPoAicgzIEjlyGrepc0uvG4zRQJYg9KWwONFJhxTEVrUaogqVGfQ+k+WAT3kfURTYS5nc3gVtP00nrMcGB34Koj0j0Fuje5xmPcKOBajTVIHeTUttCGzUWIQc7s3d7wM7anpFyT/bhDc7LGOZ6YF3xdv0BbHUFw9w4zRH7aNyjO3C86hDOgybcwD90N7Qxg3G1vjS6HtNaNX3BfX5ntX+nFwzE8grI6UWtqNON73pIfK6husj6sa9y1O5OUEyFii/8INMRrfKtXARIoyfO5eSvR7JXgntFW5M+6n+8R04PqtbJ8D13fffVeOPvpomT59h9fimmuukeeff15WrVolhx56qLzwwgty1113SWFhYcp3161bJ59++qk88sgjMnPmjrDVH//4R5k9e7a8/vrrcsIJJ8gzzzwjxx9/vPzkJz8REZFBgwbJtm3b5Pnnn//BANdSJyYWOeLo/WNeU7pBm+hGGRDAhWkCbzIhp6k+hCHVPppM2HiBV/m1TOZP0S+lHbiTxLRTEmxsCFzZexjs0wD7ekoE6ejEa2HLdWOoeITTC23WdV3Yh55nn2gLH1c+UlUeRFK91hwa3EYi4SaqSONzotxIc5d2bwZaPGJxBDLMO+NiFvVxDPf10Ttq6cSKYbkejR7AcjZ87p4EUiAsBvQOsVauldpRSgycqSS1xCl5bprnQmgv6kTvYJF3Nl4bJQ4GQrjZ4GiBqmGZZ0ZvL+sLZ2YgKLITcLUY8T6DFCL3G/G3h8Q0L2kObURjCQTwXXYENgyqe6iCXIqurwv5uF+0a3zOfOJXbjMgtSfYh+cutaCXc5AReYjVcfTAnpmDGxdV/yYSwY0Ir2R5MTzea8Bx0NKH/dxswnGzrQfVOPZzaBrEASPOiVUdKHdW4kUeakYc+3kHvU8zbYpZEaNL4QJzJj8XiOENOCdjsf4pVyvrpf6gbmy7+/C3OJOfPaxcICZM4DKFOkBzl0nZ2PTRZzmJLN2OYJ+fy5Le55N/FyTsIoKKB9+vJcSwV+BZ5+butH0OXDMzM+WDDz6QM888U/Lz8+U///mPWK1WGT58R4jqnXfekcsuu0wOOOAAOfhgzFKtqqoSEYFKDWlpaVJSUiJLliyRE044Qa644grx+Viz0Sidnf0DsoFkjVEEXSEL7nRt5AHojmsT40YSv/cacAPgSCDwzLLRjpu8plwCkicv9cr2lExlNuFExxqkRiNOZK1dyMdKEXL3anwuJ+mN2r14buZbDokj+HCRCDy3J0ZwQ9CmJBp00cLWa8BJl8OcKuAWEUkQeHDZEfiwNqMKwhh4sFYuJ0hFKJkrShQLtqx0BPg+o3ZtLG7PSYNFccyez3fh++vtw4m5jepgs9ST6g3i5KwQCenzfTdQmV3mBrrs6B1qJ+CqemjX0gaNvX8MbNMS2O+bIvjcolTdanM7eh6LPJcm/w7HcXxuM6BiAfMvmV7TTOPZS2FtWwLHieoF5wIS0TjSCmxEcdgm6P3b7sew9CFEBeHzdyj9YVsMN1AM6Kr6UHmDaQs8z7XG8DlUOBF8qpjBThsT9lK2hBAUl1iRKlRmwmRMfxw3op/If6GtqlAUpOEmt47AIc/HXBSAgWoOUWzYtndo74hBMRuH/rtJM3pPxvQO1bHBuRfMp8UZNlVVJkPx9gaM30794Fvbt+G46iYiAwC4Xn/99fKb3/xG5syZIyaTSYxGo9x///3JsmQPP/ywiIjU1tamfHcnlaChoSEpehuLxaSxsTHJcZ0wARfa7u5ueeaZZ2TGDAQeA9nYcxm24wKe58AFojWoeS76KJGngRK9eNebUpaRwvsMRvn7X/eYSOrkE9gDWZ+1FeM0aW/v1rwkDkrkYbUEnghD6ficwp2YbR8ksXUfVfn5MqJ5XTgpYbwFK0a1G9HzUNv9PrS5sgt7SbjsbldEGxtMBWDjilB7Alms89lIUl4seK6a3Yh9ZbNhFf52DyZzlXtwoxKIYkj1Az8+J49DA1klShUtkVQ+JZds5XrzvMjGyXPJmyQ1CY5D3FxONi0Dx1SGoCc6QH2rLoFUEvbIVynhXzeJ2/vIu5dFahprY5gYxH1JTXAUEalP4BhdHdDeN28WWAuVgU5BOr7vwRnIBY/E0aMeiOIzrzVoXnAG5EWUnLO9k0LmCQS2owS9v21G7OfLOx6Fdma61r9Yj5qTEiOkldtHIGV7BOfFdXFMqMuyIxC2KDJzvBlMd+BGQ6jNCU6sYNJISYscWVB5p9+Ec7orY544z3M8BtVxxU4OXjtYmis/XornMmp9cYv8MHJbdNu97XPgunnzZnG73fLXv/5VcnNz5fnnn5crrrhCnnzySRkxYkS/3x01apQMGTJEbr75ZvnTn/4kHo9H/vKXv0hHR4dEo6lJJ8FgUC688EIJh8Ny1VVX/a9u6Ts3BheF5rHQXt+NpTAL3VomMXvgmKzP4dwA1Ytv6sKwtplKp3ro2mwKsGWvJvPMmmiBZ68XV0uxmpETx6FplYrAC1uWm3T/BEEVewtrSZWAr72bQrTqYsM6q/U+5HZu7Xwb2hlu4n6SFitXIOK66qpxpTOuo87JWj4LnTuM4doM4si6SNDeZtA2TUGq0tQr2G6npJUuKwKyL9rxffvJG1zkIq3GxO43RqyF6qSEGFZqCNLCx6FGVtPIVDzNDZH+1S84cciXQYoGVMrYF0dq0AYjXmtM8ch2kx5xQwI3uaxIwrxjjxmvpY+8vW6ic4Rs2jPv7KmCY5O9v4Q2h8Q3tb+E5yZPZTmVF86yU+g4rIHLRgNu0OpJd7XIgwlzHsFn3EMUmGWdmAg4LgM57qq3vyqENAIhNYyaEOqRhuzoiS4jz/QIIyZnLez4K7RV0Mz0Kj8BOK6Ex46IOHFWGaiy5SsUKqcBN+ubiINs3kO58D39FltXrzZf7EntJoMAeTOV2fXENc7zwCj5OgCu4Qds+xS4NjQ0yOWXXy6PP/54Mtw/atQo2bx5s9x///3y4IMP9vt9q9UqDzzwgFx11VUyc+ZMsVgscswxx8iBBx4oRtKAbGlpkV/+8pdSW1srjz32mBQVFe3mrAPPyk0Y5rQTxzXbhcBHzbBkLlBPGLl76Q7kBjHJnb2czCVqIz09VfePd+jsOcoh0MtesXQLeftI4HpQBobzXApvaUvwQzjGE36QuLltAcyQVQXHd2UNQfRcqtqNqRnN/VcI6yFvcFgpdSgiYnSgV4zPH476k39zqNBMmpGs1MB82sEelCQL03NjwKcmpnRRcl00RjQEyp73pSGIynOStmY3yemQ93eJX0uwq5f+KRG8QYtS5nYavW/2/jAvuVm0NgMw9mI6Senhiw7U/fR6UKGCPbBcYlStpMQ2IuNUaLsT+N1uA74DTwKvjTUujYKbw5BSeMHpRp7gWspI58Q/VUhfRGR7N47nTiu+k5w4JUQqJUPbArhZ4Iz1UJyll6hQihE3onxtoQS+gzYlybWP+nW34PhlZYf8GPatLVSNrjeO76TMdyy01efEJXnTPLhBY+NNbhpJWLHXu7EHx7e66XLSGPG6EIAzf5qlEvvz5oqkrhcqWGU92QyS7WInBsu+WZQ6yuz53SemJ2d9K9unwPWLL76QaDQqo0bhQB8zZox8/HH/dex3WllZmbz44ovi9/vFbDaLy+WSk08+WaZO1cI3W7ZskfPOO0/i8bg89dRTMmzYsH7OOPBscxz5XJwBmyCemxouTgn9U/h+T9VQzCYEOhx64oQrNXubK1/xd/m3ePGJkgYt3wuL7ScUjwBX6QpRkhkD9HHuM6A9jITX06ie/GoLcse+Cmte1lAEvQMstdVH4ugMihiYdoSroM0hWouScWskuSouq9tH2fTMp2U+JSdMcOlMNUuZQ+YqoBYRSScN2RryLPd0o3eYtVl7ibeqKmA0R3ADFSQA3yv4TphSwYsoL9JcgEAFqwxyeVF1UD15jqB8FvwXtI1ES4jSO1SvjT/LZXI7KETeQ1W+wlacC7ksp4c2qnmiqQ50G/BcnCzJZVg5auG2Ix3DSdxfrlbXIZrXkyXnuPhBSxdm6vPmwkXKHLkEdHqMOPc4FOWHAEUx4hTFag+j4kGa1QvtsUqUQkSkXbBff9T+F2irEncO4u6zx53HK2/uVc6qiIjBTYCQxqiq3MFjIBTB952SnEVAlOf7b0I94EiRjShrOQZUkTBQPoXXqo0T4z7HrXrlrG9r+xS45uXt2L1v2LBBRo/WBvPGjRultLR0j98PBAJywQUXyA033JBM5qqtrZW1a9fK5ZfvIPrX1NTIOeecI+np6fLYY49Jfn5+f6ccEMZezrGG2fgBxKnyYRC9ZnkerZIP8ww5fM8TdsCI/NkuQYDGYJGrQKkTvDUN+cVsrFfK2fhsG2Po5bQbcBIvV/h5pZRk8n7Pk9Bm2gFn/v+n7U/Qnun+FbQzDfj9sVYtGcBmxfsqtKInoiNSCu0vMnAh5ASpLCMuJlzOUKV3pNRs92PGs408ruUuXNhSqCQJD7VxcVKrOEUImPjdCEw5TBmjxL8tUgXtAHmyuiMYvvdZtaQWBqJTPFg5q5NAFkciuFTunkzNvuakIo8JwX1LH4IgP5WvDKWjh3ZQHDem2VZc8Lui2rVvMmBSUW0vhqnjcbxPG/X73gRu4EbakY8dI+pAl/IcC2N4nUELa98ieOCSsBkW/H4neUlNUdIvNmr9gWkHlRmnQXt/SoC0kceVtXNrjBhyzxSMyNUrQJijErzZY7DooDGTZsHnYCepJ9avVSM2nKhroe/mG/CZcoUxT8ZZ0ObxXh3CSmuqAyAnbTYc66WqilGKJKXRBq7Rv1D6sz1xYFVjtZMmA3Lti0kOMd+pvX+TYR8j14SI7I2qgI5bk7ZPgevo0aNlwoQJcvXVV8vNN98seXl5Mn/+fFm0aJE888wze/y+y+WSRCIht99+u9x0000SCoXkuuuuk6lTp8q0aTvA23XXXSeRSETuueceMZvNoAWbnd1/mGVfWZj0Sz9OIOiyW9GDU5aOagvDEhrQCdHC1WhEqkCIuJ28ULGGbLYTuURlRkxi6lBUDFhFIEqFEzijvcmAO3oOkTIf001hzmyFExeM4uIwm+qB241UCSuBYe7TshCMsGQRT359vdqs8m7nn+HY6TbkU3fSBB+I4ft2mDEE60zg4sTlLVWPXmpBAXwHTBXJoHDu8DQEqpzpXxsmT5Ti8WPgujmESSfsDdrfiuFZD91noR01RRtIo7RGtHc23oOcxDD1tQ1+BDoWCz5jDmP6nFjGNd2GNAWPSWuPcOHGhD06X3SjN7A1gousy4IbVU6gTIQxwerdznuSf7NCRYkdE4V6Kd+6NYze4QLBcC/r9nqoSl9uXOsvRrrR4gRSlpZ0PAzt2YoagohIOnnguLoog013QvOqVWRcDccClKi5yYjqChEac/44vpOhVOt+awI5s1NdZyf/bhL8LvNhM+JeaNeR5GCJmz3ROMYMAZxja8KaM2GzGaNWIfJaxow4f3cbcPPH+tVs/ZWTZhpBOIJzSaYb5c3YSjJQn7o9UgVtL1XaU+XUOqlYTZSieVOsx0C7gzb/MZIc0+2HbfsUuBqNRvnb3/4m9913n1x77bXS2dkp5eXl8vjjj8uYMf0Pgp12zz33yLx58+T0008Xq9Uqhx56qFx55ZUisqNwwZIlO8Lsxx13XMp3N2zYkPJvA9Fy0jBpgfl6njguwoEETuKqFSbQ4xyizzaRsPcQJ5Z1ZK8ok+BzYtqCzt7bQIK4nOSt9ZhIgzJBYTACwlwS1tajTU5u4uY1GBAc2ognPMyInmcuu/kG1Xwvj2O4d41oPLSRXiwX29uHu+tq4rj5OzGLvJPC8X1uBGHpJgQ6HVFtkW7vxizh4RmnQNtJyVU9FKZsDhFPjWgozL9sU7yijQn0ekapPOzR6T+H9grS7bwkH8FDlJwSXzail6w9rt33OANyWgPkkVGjECKpMmFMz+CkJm6rkkgk8StpZpJSo/KTI2mRzXHgNByM4gk3UmlUlYrABQdsJHeVTSoDI6xU0pO4nFz1y2PC+17Yp3EeBxsxoqLSZURSlRi2GHG8jhH8vjGBz43zVywKkG3pw7mFtay9ghuNUYJg0GrD57CN6Bg5Rgw9m+Pab3toDuw04vtJFxxjLgL//23H8e+l81UZcAw3dGqRJqaZZFlxcxenKAYD1aneC6C9JoyJom29uLGZZDs++fdQBz7DDU4Esi7SRlXHp4hI3IADmtUYokKVtUzaRtjCagiU7xAyY6TARtG8ZxVvr80XEtyu7wPTOa7fyva5qoDH45Gbb75Zbr755n4/V1RUtEugmZubKw888MAuv5Obm/uDAaf92WhBTmRZGoKupl7cZT/fplUNKcvARTKNFtG6OC4mvcTPNFJmr5NC5OYEHv+sU3sXzPULkrePixvE3eixYw8dc0E5ESXf4E3+HSBpHRN19Rby7g41oVdrMDr/5FKS8lnTgatqXJF2ihHYqyGvB9cyL83ASdcreC1+ITF88lSXG7Us9J4M3PDxYmCnsGWhhZQayMv1eR96B1kcfY5DA8aZBly4etLQyxWMYT89zYdANYiHpTaIz9gnXrxW0RJVTOSuK7bifVnCCJLsGUih2eZ/A9qD7QiEN/cgHcft1ABhYg8hPC6Fu6AH682f7TwH2sVUicvfgcBnRUjbLGa4Ub6qLo6bIDuBQx8l0Ixx4jvrI7TY3IvjSC0akKeMNxERi0KXERH5rBfnZc5Kr0tQ8QOK9uxP+sVhZVhxsYNpJgwN91JfW5xAGbCWLgy5F7hxjmVd505Fm5m5vcyv3dyF1IHjfOgdHpSGG/SN3ThOWBHlYM9vk3+nm3FjwZu/BIHD0ozDoO2M4/g/1IlzqL8P54s24+6z+Y0UzWmI4jvh/AlOBGON4E5yLrSHNBoM82u5wuPi3vnQ/qkPcxZO8Gob1ye+obrB/8R0VYFvZfscuOqWalzVx2fFyaotjMDozR6s8a1yZLNj6HloNWHG+kgDelSdNgRVNYKTCdeP58lIDZulAC4K7/goYUINv4qkepIrPAh0uigMuiFRlfx7rf9ZOMZyRk6jF9oxmkhGphPgM+Ez53Klq3s17/EIG3q5itLwtxp6EJi+GkSviNeMx3MTGELjMLiqIZvvQODaGUNe6BAjnou5fhV2fOaTzOjp6LChWLqa9EDl3mV9DDcag63IDfRiV5NhtHHJsOL09K/W/0BbrQo2gRbgUBgXxTBx+bhAxeEKOBARSaPiFwYnhlBV81j758xx5v4xbqStbO7GcTHai9GCURl4LxVQvhJ/qy2EwGVJFDfuLgIuPQEEePl2/K1mKtu6v1sDXc0hHBNdtBE9mJ5ptWAlvE7iz481ItWAn2uzQsfZ34wedKcZwR4DV07uyaZN9UTyHtvMCMqa+7R5kDf/WUaMYp1ahNXGyKEum7twoNQYkKY0UfDezEoFOaZPhGMYtSqJI186z0rFaUgmso2iIusEx+yQhLY5ZG98gQGpdl+acV7y0tpQF8Ak43QXfr+mC2XG1GqGLqqqmBPD9hDbidAeTy7VLJvWH0y0Qf7+TU/O+ramA9cBaCxh0uJFHqnTiK+Nq1uNdWhyKsxhHZHA0FKLYMhtbQJDMBkUQucKNG0KWBQRsYj2+bIE8ufS7Ohx4dKXhRTAaSId0B7KKs9JYIgty6KFNSupzv0LbXdAm+usF6ThM3VbMATrteFiU+rESXxbTEveONyFcjZZNpxwwjFckLta0ZuwzoQeAa4JPtmFwOfItJ8k/+7ow+s0GhBocp1uC3nMM224MDop7N0SwuNtCnj5rI/kkEz4vlfEkEow3oBAxWvBRdViwOc224EJOG6zdu3vhd/E6yKN4IneX+B3KXz7duBv0C5ORx3QIXGk69iVMHiwj98vtqsS6KU2RRAkHZiF/b6PXLhPtH8I7SMV+k6IfvujKFJaxhtw7ihyY7/NtuP79UfwfDlhfE7qvdqpJO8YA26KmiI4hpxUpS+DiniU0U4mDzG2dCpd+9MIepYPEOxLPUSBmkjJOsxRtxAg5HLDrqj2HDjJsIj6ObGMZBAVnGoN4VxzbgZu4OuoeN1qvzb+P+x+CI6VeQ/H347jM+ztw7XBY8HjPlIhiYfROZClCPe3kuPhTf/d0OYIGBfDmO5DKS+OVNhoQ7cyoJVpHeM6CY65BCksIzOws2zGKVN8pLW7T02vnPWtTQeuPwDzmGlCJ73Lww0/gbZd0ayzE/BYF/RDu4U4qqxYEKb68lahMq2U2a9ma/fRBJ9DE1mjEb2/dTSWh5D4vYEWmzZaGLMd2orB4IHF0bcTVaBC0FPRFMKJsb4XPVFbgvgOCswa96yqGx9iexgXxdYQbvnPybkQ2kSJhSxyEZH2PrzvL2MaL3lrD3I3s524eSig+yy34TMuIYpElDzRK9pIskx5x+y9X9yDeqNDnehxZa92oQsXxtoAXkwGRR6ebv598m8OHU73YYiUF13mX3NVpwzBcG6DEceJOg7M3cg5NlPSEifMdZiQE1kTxDHkIum1KQoVRETEr0RceMNlivY/pW/rxr7THiKRfxpjaeTJDES1326O9l+q1kUKJgxUcyyUbU9zlYk2LkVp2vFTbBhZ6CJecBqN362C470kjqoBnCDVROWGS5UkxjCBjs9JrnCoid4XRSLGZ+L7ZQD3r/b50D7RreVnDHfjhruhB/tWK3GWS534jDnZsp3us9eA/SMQ18ZcmxE95FxWdbiBpLSM+FsfhFEVhqu0hYg/P9StJR33kIOF8zy+6sDrznPg+2+LaONiIETpDTrH9VuZDlwHoHFZPg7n9gW90E6pGa4gn24Ki/Bisp1KCLIuaxaFqTMpxBolr2dA8Yquonrh3SFc/FlTdkwGcv2WxtBTxRVnGMh2RrT7jtG84BEEQeVUYSpAC5/dRLqBRmxbyevdqVAqNkfQxTKMuJ/dffiM/+tHb98BaWdD20P6iBaSFdrYpVEFRqejZ4J5g4OM6N1bEcVkvIooVRjbQ3VEn+Llfif0Khw7If1n0N5CCTAftuDisjmIocOWEL7flVFMajnAc1Hy77FpCIoYDKzvwfvkDVlFHIEQc2YzrRiaVDeHNb0I4NyUGHKYHUF0loNkovBShaLU0hmjpBXF9fIp8b4riA/fTAv+OCoaYKf3S9F/eacHC3Mc4tQ8mx4KQzNtoaoHgcgGA2qrZsTRC1oXxDFmpw3AOr92cS0RfCZVRpQFy6Ik1JwEbi68tAkKkmeSE8nSY5rnuoa0UysT6El8pAXHwREOpA7MxkuRXorAnJKOicRW5Tl00zzVQbrMuaQxy5vkxXHk+k4yYGShjKTaVAqVW0rhWD3JYXWTsoOT6DYjiG8dIKWHyS6kinUr2ZlfRpFHHIzhHFrkZDoNPlOfVXsOxt3nLuv2AzEduA5A6+rZDO3KPAQjJS4clCGa+Jp6tQEfJPfddsrUL6UQaKMZ+Va2GIlME50v24qgqtSsgbYiE07AtRYE4Cw43kx82o4IcuLWWzCGNtmEXjKHsuIHInjfCUIyIUK2JW6cZLcG8b47InjjnPF+kE3j0K4JIbeXpbSaBZ/DUenoDf5KEKAZYuiZSJAne5ZrbvJvYxx/K9+Oz9hrRVT0ejPyykwGBK5tYfIeUrwq36khn6OMSJFYSXI3xYJgwkrPpYMWlPYw/tYUG9JcqhRecTshLgYi+1GWuNeGU9/aXtIgJQWLjggCwG3x5cm/D7GjzI+XYsXsFav244at0YRjLj2Om4scSmqyK5um4xzIvV0foM0gAdVu6rhWE95nLoXnT7JiCP6Ldg1sDKIkUQZJGw2YODSWuJtZdnwHDDZs5LFTlT6ebkadZfa475fWf944RzUybPjOXBHkxKvTxywnemu7iF6RHUOgOpY8rIUO8mr24W8/2IMgXNWnZg94qQOBKkdnmokDe4CZoiIxpIaVRbA4gl9JSuuk+bkkQXxaG3Uesq4wbjZcpICxNYhAtlVJgnPFMdlyvRGpIpZeVFuo8BAFYgB4WcH2lNGpW7+mA9cBaOz1JLqVdJFUJydkqBalkEQWJYpEKGmFw5rMkc034QSSQy6bLUoosjOB390SR+9QjhmBiJl4SyPMFFp24rU39CLSeSWg6YZ29OLkv58DM/edxAWzm3AiGeHupeMkMxNAfm61gmtGOzC5iiK/UmJCr0aE3lElaWtuNSKwKTPgwql6HyzkKXTTj7MCRYy8JPc2IFe00oBhzzIn8hRX+bUb50pXEx0IuL02PL65C6+lxIV9qYOSELl62SSf1hd5jNQG8B/WUznh2l48V42gZ3GkATdFnVSRqsCkJfc4yUUaItfj9jiGWKe4kYYwx4HANM2M32/ErgjRAaYlOImz+FDtPGifmXM9tPMQe4qf5pat9I62GquSfw8zYWTIQ8l0Jb0IetsMCP4tvfi+cym8W+DA56ByRS8tuRGOrevEh/RWD27IZliwHzMlYlOA5ioDJrXNcYxN/u2gzkZTidRG8Jn1xrB/VPfgfS7HQESKhRSVkk4Cf6yF25jwQ9slOE85qK+6ib61SVZBuzyulOmmeYz7Gsu2dRipxCt5YPPj6GG1k3yaGi1ikFsSx7WDglDSS5GDrQq1K0qya9+/6clZ39Z04DoAjbX2HMT9YtkglXe24/PaDNNNIRUGF4PsCER9UVxs7DTRMXhgKZd3uu5P/s0lXJm8P4hoCCviH0J7qAETBbYF0eNamoaT8jn22cm/Y4lZcGw9Ec1e6bgT2ocX3gDtIjcCFebbVQdxIu1S3kGJDSd0lwWfeV0PTlosns5hSpsBvSqfx5DH2h3RuMJcszvcjd7ARaHnoT3UdRC0j/aix5X72vsBXNDdijeQk1S4X5Z7cLo5pgD7h8eKz6E6iPfy1DbahClSbRxmLkjDfpqfRtq35M21BDHc22BE71IPJQoepAAZjoCwd6e3DzcyaQR0KtO5aARaLM7JmNrvcYZ6mBI1J3jnQrs+jGPIFSQKDe5LJIe8os52bVPV2IOdg5PKiqx4MqZE8FzSS4C/LcIbHe0dV/UiCFY9gyIi5XF8nwzwc4iuUezCvjZRxkNb/XptEJ/xS92o6jLNghKEX7Thb4/0YQcoSsP7Pt6OG9eXOzRJulIl+VUkdbPgEaRA2QhkM2edqxey5SpV//IJBG+PoHc/QO9gJPHpA+QUaSWpraoocoVLLdr8r1KSRFI3qo1hXIe6ozgHp/d/m9+v6clZ39p04DoA7cswlul0dmIJwFk5uNhkkYTV8jZtcWo24C64jKRb0il0vD2EC8Km+CpoJwiMDCF+1yiPlvntpcztNKpeEqWQt89cCm1/goS9Cegu7kUqwYS49v0ghUQ/I74tJ2vxRBgIMwcOn/HKDtziq5I3zPXjBb2QFAm2kCQRq0SUkxLEFhNei8eheS5YQmyjYLj2ECeqQmSRTi9781vJQxumggUBRaN2jA1DwbkpXE58DluD6O7b2IgL4wFZCMqm5+Jz+6Jde8cceXvVjwD7SA8uouxz6aJFN4PD9UKJhYq3f2sQH9oEH47PUjdOs1VMPKdpOIMyoGuRKgpZ60PT8cMmKl6xzo/vN8eBx5nj2kDe3bYQeT0VjdkOopG8HEBFA2OcQuRx3BQZCZgOJ/58gjxj6pj2mbCvFFMpW964sDrGli4cY3Uh7Nc+M/bNDXEt6sEh80PtKMVkJ/rF0UU4F+Xa8YU29OI7eb8JX8oMp0Zz4bmlrgdpByUu3FDzvJZBUY8DTBgVWR/A+aMlonWILAs+Exb57yEK1Kd9SHmLU5nlIjPyyitNGGFLV3Ret0f8cMxKYyZCXP5QDMdgmUt7cKbwAECAA4678MMyHbgOQGPx89HpOAhZmH1BLy4Y2/2aLBF7XFZTdaPVtCi2xzHE3hPBOJYqtSUiYiY/iipR1U1Zol0UKsxJ4CQ5zYqehh7iKX7Sh57GQ22zoa3Wul4Wx0o6NhO5ksjWdZEn2okg20FUgSFufAevdmvPdUYMNSLTLAyT0LKtuCAYopjEwNWNWMPwU6Xow/6eX8OxmAFB1QYDJinV96KX1E/hvWPdyHmrtKAnqlkBNlwhrLGXNg+9WMxgbh6CyamZeK1B4v6xPNZBeVq7KoifLY6RFBuF3xvI612QQK9onH5rkwGpBKVxLUzeTf26I4zeu81BPF5kw+NmClszbYU9tGoGdTCBXmsO3w5Lp0paRA1gT9SXVFgji+SyVrRpv83SakOp5Csn52Q6sO2nkHo66bayjJTqXfyyHb+7LYwbj6YIjt86AyaGTrUj5zlAUnulVvzx8cqm2UEbbJYkCxN/fk0n3nc9yWEta8W5JRLDdlR5zl7ysKbRJpao+ilJqovb/dDmZK4uUtvY0KtVSptlILkrAvedMaQw5RhLod1sqIJ2ehzn5CIqGtLdp73jUosXf4v0aBuNqFed58C1BSJm+5opIKJXzvqWpgPXAWjtCcygDERxV8yh51kxDKm7izR+XiNVvnmZhPmnurDOtsVMNZ2ph2zsQ0mTPDOCtLUd2vmH+jA5y0Ag15TAkzeGkQvYkkCPKkug1IfQ2zBMqRk/IoRkfU6ICpPsC3smeG7rjXEmP35iSFzTS+Us80w7eodaKImFOa6s01tG1Y2c5CUb59FoDpx0YuvGvtGWwPBcGiXIjbAg+KglrkAJeQ9VNaZWAqoNVJZzmhM9xx82EugqRNC1vQefMRcsiCW0B5FrR/BATmzJtyMY8FGkob4X31ET3Ut3D47BBiWhqlTx9IukApkCG52bZNw8UTzO9Iz2fjjsXyWQyznOgF6r5zrfhXa0A/vmpfkY1mbh9v/UICCcnuVN/s1j5CvKruPEoByqtMW0pT1ZTPHAMlczM45AsyWOfY9L4UbIdcmqI21hnDfzlSgJRyE+7nsf2kc4DoY2UyDcZnyfeSTdwcoBFmU+YAWZ90KYXDXGgkoNrAoyLIJe7Y/DSEtyk5b20S4tQsO84B4C2Cs6n4B2kRfpWlmCEbNPOu+H9unZ10FbBexNEey3vCniUtacsBzo0/oLe/J1++GZDlwHoLX3YoglaEHJEh9lwHImaa8ySFv6qCpPOu6a6wU9rA7BXbCFEqZKzChoXmZE7uDILE34vyaKix5rxnKNb86W9wjpYxLVYGkUy3SWiZZZPMKDC1UcL0XSUoo44PH13ehNSLfgtWUSvvdZtIUtl5AlZx2vI692Rxw3KiMp+/oDknKqDi6E9gQlVMklXG2UtVBpxoQIXggz7QgIAlFSsCBQ1apk8y+M4aZmrAEzs9mjdmwRtt1mXJyyiCu8jbRzVXAaJjWFTCtJK5G8WQ8tbB4rh+7wOdT14HMdadc2UcwbHOImnU4CaH0dDEzwl10U1k6QwkGPsok61YUZ7LVBBI/7mxA8cOWl31VhJbzjPT+H9n7u3RcgCBLAao+h15KF+t/oeQ/a40mKiek4TFuoDWh9jQsEfCkIwJhQOyKBG2zmvHpM2Nei5E1e360B4Y0GjOaMFoyQeWhTVEoc1nWdeNxHc0k30XVQpIL6uaFEdn80NUmJJcoGCWqv5pJKjKpZG+jDwZ9J4/PMHCxtWxPC32om3jhXVmMv6kqlTK+JErdGJ3COzBPc3FtIkcIK7QEQptc9rt/KdOA6AO1oF+qZjvEh+KD1QrLtu2ee5zq90O4MIzANUuIIe0m2G5FaMCyOoeNOqlATVfiZNQaULInFcWJykMxPTgJDTZtiSIEYZZwN7SE2pC0sC2gTYw7Vtees8FAfTrq+KD6X4W70BvZQZvBr7QS6LNo7qieXGQObzgRO4Celo4emlaSdnH1Y/SrDgZ7ndNFANmvbsmi/P4LvYIsRvdqmHvSKsmfrrSCGzFWbQRuspggCmVAMNwNfduK1lbIrmcxrwedYpygDlDj76Biea3sPlwTFc33Sgd7+agJCZ3gxiU19RSzrxWDh5Q6UN7u8GLmeGVZ8Jw0hnpbxHaicV9Z8LUrDZ8rKDBVePPejhQhUOQnxK4osrFD486x1O86LILeaENjENOznPI99FERe8rQYVfkj7VbVBpM0k5uA6BLyTE+LomeSox7dcfSK15u0zeUUQYWCTEpgS6eIGN/nUKIZhWjTxTxUtdRtE0WZ8gQVSuqp6hZvTPmdZZgpiYlA94aAdkL2kH8UWQXtbMpB2Erz9+FWjMDZiAvcQXNTvlJ50Uke9ZWCerTTTLOh/a9WnKdO92kRuJhhH3tcE4m9k8P6H0povfbaa3LPPffI++9j9KC2tlbmzZsnS5cuFafTKSeffLJcfPHFYjLtfq5etGiR3HXXXbJlyxbJz8+Xiy++WI46Sttgh8Nh+cMf/iBvvfWWhEIhOeigg+T6668Xn69/CTvVdOA6AI219SztOFEWk2xQD8WHcU3GySG+h92mhboEh/d58mJPhbqGO/tQDL3OgPzJzaGPoL219zVoz1Bqsoukahb2EoHrII/moWXt1O4ogqZ/t/8X2hOtmGDRTfxK1q9ltQafogsaI68W11yvDKLXuomys1lcmzPFW01Yccyu6LxaidJQF0dqQL0gOBgeQz5tOykc2Og5zHKg50qtUNbJnEWS6mkm2sqhedgXPRb8/sI2DKFv62bPptZe3439ttyN52J+rD+K9xWOIQCYbUagOtqD57MpPNRN3bhxDJMz5bcEVBmovF6H117pxeMFDkpiVJIxmxHHpKgrsG0P4HGvBZ+DmTxVzUSZWBR9Pfn3YCtKhoX8uBHdakRO86YAAtupJJd2kg95yQGiXIRi2lyTOr5xjHyZwH4+wYBe0T7aTHJlrXSiNRyaplFoqCpyyuYhm2grxQ4cUw7y/jeHsf9s7sJ3sjKsgeYhlFzbE8d+uT2I4J7njg5BJYBYlAoWkLe32K4BxsYwdraKBDox2sUP7TIzrluvBJ6G9jSac3mzsT26LPn3ZDPKGbaTusmsclRPOdiA89RHjdqNRb26x1W1d999V6677jrJykKHSDQalblz50ppaak8++yzsn37drn++uvFaDTKJZdcsstzbdmyRX75y1/KueeeK3fddZd8+OGHctVVV4nP55Np03Z4yW+55RZZtmyZ3H///WK1WuXmm2+WSy65RJ588smvfc06cB2AFuxD74/PbaLj+Pl1UQQyKzv+mfxbrS4kIjLM4YW2mzK/P+nGBCgjiRS+1/UXaO+fTtJdok0+jUYU4l/T8RS07TbUs/S5kZe6SZZBu4a8xds78VoPi2qJSZyUwtm4R6cdD+0mStZpJy6n24wLwKwcBFWvN2lJbGYhUERlFTdSktn+BiydyF7SrREEnz1x5OtaDFqiSYYV31ckhGCh24jZ8UPs6MlgJYA2ysDlBCzVS8JeqmFp+L42B9Hr/VodLppz8vC5DUmjakZdeG3ZNu3ajAZKDAvhuTgzv5aUABgIFVEp1aoebKvZ+Cvb8ToLyXPcHMLrZsmpwwtwQHdF8fNfdGD7w0BV8m8WZh9qR/DYGkUg80UEPY9D3LjgFzvxOY7OIC6pXaPjfNSGiZsMPGZYMWucE6kfa/g9tEd7z4L2VCdKP6mUqE6qulRsw+eQFUaA5yXlFZYFqzCVQrsxjgBPjYKwrNcXfUj9mdCDEZI2N27gMm34INYQdYQjNCUKZSpV/grb7GHtJOWG9UQNazPgtaUJ9p/cuEZFYCfF+jiC/TjVCx9CnNaRnjOhzZuHNvKoq3P05hDOeWdm4brGBWF6aHM4O18bk1UDoXLWAFAVCAQC8rvf/U5ee+01KSsrk26FDiMismDBAqmvr5fnnntOPB6PlJeXS1tbm/zxj3+UCy64QKy0TomIPPHEE1JRUSGXXXaZiIiUlZXJ2rVr5dFHH5Vp06ZJU1OTzJ8/Xx566CGZOHGHA+eee+6Rww8/XFauXCnjxo1LOeeuTAeuA9CMBpIooipQrH/I2flZ6VrmdxbpetqJP9cVwclmtgXLU26JY1g734tekTBlNdcowt3bO96BY1zdhs1IXD61HryIyH4W5GcaPAgQ1Lng702PwbEjXVhGlUODs/NwAh+chgsjV7d5qRmzWEfYtMWlhDYaGcSfXOvHSmhc3YzldLIMiHRyDcjvWp1QwtohFIXvofdTKZhNzV5QIYmblhAeH+HFySrLrj235l78LicpDXEiUJ2Zg8dZueGNejzffhnYd1Wx/GAfPrPPWxGYTMzEjQYlkcu6GBZ5MPUgaHqiHfnUv8jWkpoGUQTkTT+Cg5lpyCOsRvwuC+oQuNYYcMxNsiOPsa5vVfLv0zzHwzHmuA53431Ps+H4TlAE5vNW5mdj39wS1jZRU7w473SQq/mdEIZzD7Vj1aaXJ14JbQuVVW4gKS6j0jc7+3C8bqNnmm7Fa2sncjZnxA9y4VIY70YgvE0pVzzGid75yjgV2qBw+7RMKuLixM5XTJGkRzfjcyhUFE7sxO1lWlE+bZqYoz7HinMHpUukvG8VlE+wIiAfFsUxkk4V43gzWN+Dc9E2QzW0J1gxMqFGcIotuAFnL/c6P0kOpvEcqh0fEKlZA8DjWltbKw0NDfL888/Lu+++Ky+99BIcX7Zsmey3337i8WjPfurUqRIIBGTdunUyZswYPqUsW7ZMDj4YKUFTp06V22+/XRKJhCxfvjz5bztt8ODBkpubK0uXLtWB6w/ZLFSbnrVVx9hwEA+iOs2DjRqfhDlu62lX5SDS+zoDcvuGUEnYUicC4e09OAkv8yNYVS0vhh7WTDMuqqx3ygkUTPEZZ8RQ1TKlDOdx6T+DYyHKgH2vB8NWWR34+SKS7uENcrkFucGL+zROlSuM10VrQcpmoTaG3oQgJdT54ugFKaAa8Sc4tXA/YV75qoP9Q2icfd3bg32vzIXviD0bD9RryT2XFP4CjpFTU1xExR7GRR4oTO2j5I8a8pr2qolCJJ020ov3waLxLCs0JobeIT8lipiI9rBWyaBnL9h0AqoR6jwM8CZm4bXOJO/fohYEo2ote5arKiCN4E56B17aRDlZeos2tnU9VK0sWwOElFwvHURBnWLEUDFTe57fjs+NEwNZDkt9jBx14oS2DZ04L82iWradBOja6Z2MoYypyrg23j9sw6TS0S7k5pXg8JR3GnF+dpjxWliqrZuqX3WEteeUScK7nOmfj8NVikhLbWkLzYNhrGY4TpDGNFLReW0IIQBn2pkjjvfFWtoRoi24ybv7TBuqDJzg1SJoDIpTNsXpeDzPTs4ehZ6xrymuA8WGDx8uTzyxQwni3XffTTne2NgoeXmYIJ2TsyNi19DQsEvgurvv9Pb2SkdHhzQ1NUlGRobYbLaUzzQ24oa9P9OB6wC05m7MWo2S9y/eiYkFPeQ+6lX0U2MGqh/ehdzODBdn2+LMF6Pwz6YeTM9nzuuxGVpm6UoK9QepBOyGvqXQnkYZ0Hxu9jTTrUlUyWpeonilRETCCQRJh6dh2MpHCRGcleokb2AFAaOGZm2CryWe2aA0HKSb4uitLSRxe1ucSikalkN7ex9tXPyaF9VOOp4meobMiRufTgULuqkvkTe4k6gDpyg6wUvasW80mvA+Y1ReuDqAfe+EYjz3KA8+839uw/4zURH6H+fDvrHaD01xcZUmWvi4Oh17nksjY6GtLtoMTImimsLV5KQUH4HJTCve9/45nGCn/QBvqFgGiJx/KaHkZ7fjuDgiHz2NrPO6ok3rD0wrGUyRhm24J5KNvbhBY1rD/lnYN80p9A/tYjiPr4cS4pgq1EKgmpPQWKLOZSENWmUI75+BY4ZpSMw7npaF/Z653O0R/K3pmfhcvmjX+v32INKGJrpw7uD3zZtmfv9jBDnufaSm0KEoCXwQeBiOjUzHCNqqXly3RhhxPncZEMCz53qi6zfQVvm6PX3Yr2vC2LnsPTgnNpEixRClb8b2tRxWIrGXlbMS0tDQIHPmzNntR957773dHvumFgqFJD0do307AWeYSg+r32EKwc52JBKR3t7eXVIMbDbbbs+5K9OB6wA0LpXK2fQsYL6OsrddCW0Qb4oipy07HROm/D2YVb4fyev4DAhkO2I4K0epYomaODIyhG7/9aQykGHAUNPmBMplBRO40Hl6caJrEwzvFouWQBGgEp31PTiptislO0VECqjKV3sEV8bNtLg09uICsF+6tuB/GkDul70XPc2FCVxshqbjhN5EIff2PvTgsQdWFQ2vM+DCVkbVijJp0sgkwH4wldHdTl7OxSEEox0Gjcd8qBvfd3EEQRBLGB2aj2iDNwtVJH/Feqjqp1neKs+B7X+14vuvFIwkMGeygMTQowb0euYpFaiGuvG3eEla1YV8SeZjNpGKAHsP2cutFk/IdvS/CNsoavE+aUx5TLiperQZs7GP96Curxr+XdOBc4HThPfR3ofHRzjRMzkFc0FSQPim4O4B+/B05gXjeO0kxMZC/FECcCvjq6Gd04eATu261VT5jKk9vAmKUAUxu4n7PT63RW3YX/KVsqs9EQTkr5I0Xo4Dk9AM5BVtjeI7KXbgmNoQQt6yukE71YfAknVcxYzFSXoEJ48QOS5yYuiZ436uFrjgaFuZg2Ta6Mtcrc5IG5V9bt8zx/Whhx6Shx/WNh7HHHOM3Hbbbf1+x263S4TyM3aCS6fTuauviM1mS/nOzrbD4djlOXee1+FwpPz77kwHrgPQstMxXKNOXCKp4WATvcYlfq2D8rliBIoz0xDYbO9bCW2nESWORqR5oe0nKsKSsKZBu60XQbPHjkA104Cc1aABwaYvgQkWRkqLGJxAPqcqxxOJITgsTeBv24wmakMTQksiInGSuMmiL9QooejDvBh2Zl7apk4KU5LA/No+0nU147WHabc+2KLtisNUVcvEIIhWgABp9XAhBqaauBK4aWpTKnMtCiJg5/LCGZQgs7Qd++2JRehFybXzDhxjsCrHlRNc2sM4OU4yI33DQvHCEeQVX+fH356VjlJtqoZp+x6SPfIteN3lHrzvsV4qxEDApqsPJ3SVl7iynaqq2XATlEEkxgrSNy4naaYRPQhUtwfwWlQPPANV/i0HUYFaiS/9QC1ugk7PKYV2to0TAbUx9yxl2CyLfwjtczMxC91HTh5+Z2khBF1coCCkAHaO/HBUIsuCz8VK3N0v/JR3QHQNl5HpHtpzyzDh+62M42ZxWStvJojzStG5dVTq1pbA3+5VCrV8RhGyIXGMmAwx4XhPM+Nvc/IVPzcXKVwMVsrXcsIaRznY3CSdt6ZD+62IawCA2MReeFxFJD8/f6+8qqeddpoccYQ2JlwuVz+f3mF5eXmycSMqgzQ371AGys3N3dVXJD8/P/kZ9TtOp1Pcbrfk5eWJ3++XSCQCntfm5ubdnnNXpgPXAWh95P1hbT0Wco8n0HVhU2SklvQ+D8dmOM6AdpTqR68RzHgPG3Cy4WSeAMknRUzatZc5MVRUZsDFv4r0TL1xvA8OJQZI8oYnOrXGO4frehJ43XUJHFxDjQg2B7vIi01amxs7qVCDUsmFpbPiBBbZG5AiQB8qhTbrWxbG8TlWeLQbNxr6D4lzVZ7P/RS+JU+Gmy6uWNBbONioefA50YP1KNmmZmLf6YoisK3uQTDpZ76m8vFMStx6twH7SgaBrM29uEnq7kMwMcKLv80h85iStczLIOu6MnfbYeJ3gg+uJYzXyiF3m7K7OKwAr7vChc+0j3iFLL30Ri0+1MnZCFz4/avgNMwxcjIOSzsIyBzuKoV2DgFVJ20et3Zp7XoDKq/8KudIaHPls1qSCWPQNJySDhkYqbfClIiNnfjZ4ekEREmRZKgL29t7uK/h+3+m+Y7k30dlYEIbR1CY693dh++3zII0B1adaKaiMKqzYIIBvdANBj+0TVSdLERu7iLKxcgiTjP3J/XbzSSO/JIf1W0Oc18I7Q3kHBipqGOsifU/L30v9j17XL1er3i93m/0nUmTJsn8+fMlEAgkge7ixYslLS1Nhg8fvsvvTJw4UZYsWQL/tnjxYhk/frwYjUaZMGGCxONxWb58eVIea9u2bdLU1CSTJk3a1Sl3aTpwHYDmtmBoebALB1qxEwdxNRHXg63aYjbegVp5+XacXKpCGJaaY0NPBZP/u6l6ioUqMw2KaWFtrsLCVhDF0H+HAfl2qyNIBbCQN+DodNzhq8+FhbY3duN1jrIg+GujDOYHN1IGPG0G2SO7tVtrZ5A3lgXHm0P4TL9ox8UjhwpKHOBAIfa6HkTlDzQ+k/x7Pyvynxb7H4L2yZnXQrvLiAAuRpSJEg+HrUkcXbkUFl5n2Z+2MB5/uwHf5wHZ2K/z7Ljoru7AzxsU/m4HVSeLkUeDQ4nNVMUtI4GRB/a4lriovJFiObgep2xUuFJaaS+K5X9JxSy4/3DmeEGa1peJoiotIXxGXQT2x2bgtZ0xGH8rGsffSpC0W6kyxtZ24fLRQJJyQ2iDtpVC7BVuAo/puFnso76W69Dmtf3duNFc1orXvSpaBe1BCZxTD8rHl+a14PcDpFLxcIO2eWS9WVaVWNyCzzg9H5/DoDQcv3YTjvfVUcy2Pyfv+uTf60MILLdG/dDOjmOkiXW4W6iaIdsEioqptAeulOaII/WD9zGsrtBNY3BlO8olcuXEEpO2PnAy5bm5l0E7j/jW7HH9SonI7HOPa0L2kuP6nV9Jv3bwwQfLfffdJ5deeqlcccUVUltbK/fcc4/8/Oc/T3pLg8Gg9PT0SHb2jnd11llnyQknnCB33323nHDCCfLRRx/JW2+9JY8++qiI7PDUHnXUUXLDDTfI73//e3E4HHLzzTfL5MmTZezYsV/72nTgOgCNQzCcARsNkk4kEdFV8e39HcjlY29QiQ09h2/0vgLtCiMmghWaEdhUkEahmmnME9W6MHo5y60IXMdSogF7Lrd24cK3qAUXuvQCDShT8q1UGRE8tEa90LaHEWSfVYyTcoGduD60qFYo4V/+bRd52NqIb8WT8hpKwGg34XPzEUf2GNcpyb+5MtZZuddDmyVqhoRxQc8nGZkgJUWspXr0ajjQSRo1XEGKq1XlED+Tn2l3CBf0MQS6VO1WTkryWtETyZqjlSbcDIzPYo8bni+1lObu5XXoEclEkvnhJWt6Lv8W3mcXSbGpzhrmBbJ92UGybhEcrzNyWcKo/9WxUwF0nA3P7zOLNi5Z5JJf3IrHr972AbSvKToG2qMztJu10nVOzCKvdT1uanPseN/M3bYRT9llxgd7fIYGVjnZ7vHWF6B9bTEmLXHVvXVdJM2GlyI/y0NOe60yzVVQadPllKTkIUUazqCPxigJzcCKB/iFbEW1gjemX1JHZ1oCrzXsBBnnRG8ARxJVihV70DcEEYC7LF68FkI2w5UN+Op9nZz1AzGbzSaPPvqo3HrrrXLqqaeKx+ORM844Qy68UPNu/+Mf/5AHHnhANmzYgTmGDRsmDz74oNx1113yxBNPSFFRkdx1111J76qIyLx58+T3v/+9XHTRDi3emTNnyg033PCNrs2QSPwP64j9SG3OnDmydes2qaqq2fOH98K4YtTR+V5oc2h5IzpNZVVAC6NFKZO7woqTBYtAOymcxxI27RRaqjXgMzjaq3mTODGkkSYfngjbKWN9U68f2oOsCLJ9hBBHeLTv1/aw3iGemye+C4ZgCHx2CfLv4gRk3qpCwPfQdo32cH4xLpq55DncSkkn7zfgM+2IIyDfZsDEkVEyGdrZVm1RXhHdAsc85BUZmYZtXqiGEPWJcdEGCouqi42ZFqa3OrBvTHYip/nAXES2DFw3UjUs5rm95t+U/Hs2cbWLSEqJgS0DPgbVXeTBZZ6yqjJUSIEFrpx1bwNKzXCJX6p1INnkweXNg3rtzI/krHKe3dfT+xuXiefm8PznrXh8vNJ9GNy3kEedJcgm0m/dU48JczcOQr6mjcBptVK2l717DtosBuiZpZMHjt8/c7vz7XjtX/i1H2imxMx8JxXGoMpZXeR4KKWIWU0vfv+jJkTVfcootJF8oZMSuxgcvh/BaoQlZsx5WBt8E9qFaXh8okkrCrO9D2lFa8JvQzvbjp7oA+3IG2bptg6a76t6cJNlU6J5OXYuZYwAnGW/eI1UZcKejb0sniLvd5qB/3Vtzpw5Ir1+efe24/b8YbKDb3pZxLFvrnugme5xHYDWRxJUe9pa8MI3M0PzZLLWop+zbWnC/izyFV4LCdiPM2GSS1YfAmG15vtwO3JW0wiodlHoqbYXARtLeXHyRzZNhH7FAUBl0mV5L4aGPYKe4zWdVG+8Hr2azFOjW5FDfRoo4zB1KMYhM/yulUrEDiax7cGCXm/mjqkc6FEJ9Nawiusmql5VZVwH7YOpTK+TgC0v0iEFQaz3owcmn7jXPgqBp5lJLD8NF+wiByK4D5oRjZ6bp4HVDAtLJ+FvvdeCXuxCC8k+Ed2G75N5qX2K18ZEsk0Mcg9zYPlYXlQn+bBD2Ak8ru1Cb2GbEmkmEYgUIfaJlLl/SD6eu6YH75urdpXSRkaVnXKTxzWPAFsOcRjX0wb7T2VYKS/Yx/MBXluhQ/txLuG7nSqbcdEPBsF+mvhY0H5pO/62SvfxkWcwQHOsnX6L9tApxvN3EWX6Lwtryi+HeXB8s57t0gBuuE1UGWu4GTfVwz0/h3YWOQMalHLUPuK3H2BDGlqOFX+L56mVJPRbSLS1ciqWsbVbA7JberDz5JGW9bYAnvuYIgS65W7tXC+172vx/72Uw/q+uQID2HTgOgDNRSR3Dslxe1kPtldFtbD4cGMpHGPi/+uBZ6B9lOs0aPcS2Z89tFN9XvztDipJpFgLoWgHrRaVHgQmvX2kKUsIvoHuuzhNWyG8tLhkJdDTmE0CyCzMvietP1pjwbuUILgYiVNiUBdOWqxXy15T5q2xVmu+4oXZHvHDsUFWL7RHe3DxmWRC7y17TVtI8aAmgCBrU0Lzqk60DYZjZZTRxOVjE/SMLQTY+B1wwozKr12DziBpI03ACqcX2nW9yDMc7sVrZY/e5i72NCt/0y6myMEbLnz/n3ZiUmKEZIHY+0fOJEh6W0hZiDy+NxO3eyyJzM7IxlBzWxjHxcI27GtqEKWbvJq8rL7dgHPBUQU4nruJAtFBEnRMFXpL2Xt+1oca0Yc5pkC7iZJIWSz/4Hy8T9Z1ZUpNhyLFxf2SN+AsZ1ZCHlafldAmaQbvR2V2R4oGVhmoEv1ZtkRRHusI5wnQ5mSsAjtuDrdT5TWVb59F3t1Wms85iXhBECNFWYKguYG4/vvZcN2boFS7M5IsIz9z7tdu0sptCWv9eJ/ruIoMiJKvP2QbUMB127ZtcuKJJ8qNN94oJ564Yze3bt06uf3222XNmjXi8/nkZz/7mZx9tla+MxAIyF133SXvvfeeRCIRmTlzplx77bWSmZkJ573jjjtk6dKl4nQ65bDDDpMrr7zyG+mGfZ/2UfAJaM+K/graPPB6KXN0f4cmSJ9NXg8Gf7dn/rTfa2kgrwdzHFkuRy0xWYYYSVa247VwBSnO9B7m8EKby9WuCCD3M57QPM1cypJ38wxsB6fhM8yy4X3yPMMeHNVjV5pGx8hbW0IlpBp78VpGRanyEnkuCgjJsKdKNS4ByffNxgs4JV+ngLCJCQ2sMseRPcssMJ9mxvaCenQPvlKHoOq0QXhtKvd7KCUwNhMAW9GKF5NN3iEOW34QQE70kV58J6qGaaUHz9Uaxmf+uR/5tQf5EKgySOJNFIPmLQHNM31wHm72OETOADydFvQoaYx2RtnjRtWPFK85gyZ+/wfn4ZjLttEXyLgbNxJ3f0au9ttT4lPhWCvRFHId+E6YpkS4R1rC+Bx66GIaFFWCAuKBczY8K1CwB52NxxxrzjYqexPOrm8O48ZlpvVYaDOdKp0SZl/sxlLGZ2egjrdacIy521kkb7eqHa/lOA9G5/Joue0hEL6wBV94hVJEgmX7XLRZ9FOkgJ+penwPYhjfj+2lHJZuO2zAANdoNCpXXHGF9CglRDs6OuTcc8+Vgw46SG699VZZtWqV3HrrrZKWliYnnbSj3vtvfvMb2bJli9x+++1SUFAg9913n5x99tny0ksvidVqlY6ODjnzzDNlzJgx8vzzz0tzc7NcffXVEo/H5ZZbbtlHd9u/nZ19AbRHpOOi6yNpplAMF4g2ZYJhntlHEZSqmBbA0HBqqIjDmDhBqDW8RURiCqeyOkByKGnovUmnmOlYkr/a0EmZvsQtm52Bnkg15PYpJW61kjD/YCNSHEzkxcy04izts6Gnwm5ij4323HgBriOB+c/bMCTuMuICwDJfnLwVIIKeKhpeYkXPcmkK1xMvjjmPYVo1sx39e8Fe6VqZ/PsQ01g4VpTGXisiIgo+cy+F+383Cr+/jgDcggbtOXIp4sG0aRqbic+YE+iYu3toOgJVUkuSIwq1989gcTPJV7GsG/MQy0geqT2C4+KNnkXQ/mmmVkqVuZt8X6va8Xi9E58D863ZWzwpC68lx6Yd5ySyqh48d2cE7/NzoiWwGkMvhe+raefjULLvWd7KTWCRvfNFBDZfr8fQ8+wc5M+P8hLwUd4JJzy5CUTV0Ua02InXaiFd1ywb3ueWIEdoNEDoNve/ZPPc0UTo0EQDeIb5UGjzZkSdapjS8FYTzqknFWI/ZzrHoha873GZeK3HFWGHaFQ8slyKeEU7zu8+Kk7SEyP9Yrf2jE3s8P6+LSF753EdCIB7gNiAAa73339/iijuc889JxaLRW677TYxm81SVlYm1dXV8ve//11OOukkWbdunXz66afyyCOPyMyZM0VE5I9//KPMnj1bXn/9dTnhhBPkySefFLPZLPfee6/YbDYZOnSoXHLJJfLMM89IIpEQwwAsXNxDbi6u4sRSLZwM0qh4SZijeIQZQ2qstckeFlUjVERkExU/PyV/9yUHWf5oYQvyK+0Uegr2EbAl3uHGbvy+N4xgRaUO7OfBiSwYxe1+SiiQPG4fteC5nSaeGPH7TUrYjMO1JWm4GhyYy8Ls0EytvORHJGQmKsKEdM3TzGHmJSQTlEk84cGUTV1PtekZqDLY+JVTS6hhfiWPrDYCMuVu3By4iTpS34s/tqkbj49I1+YL5o220DPliq6LO9G7MyUb38kfax6H9tXF50D7o0btuQ7zIGoy0gqT52RvEF7L+i7m/uLxUz37Q9ulHP+K9CpZsogra03IQMCWQUUeWntZixOfizo1MTjopiQk5o1yBKbE2X9UY3oWjoQeZdM1zE39FL8qdb0MknEc/LYcN54NRIl5vxHbqmpBDnmOgzQfe0ha6+0GUnLIQeRU28tJiNAEKbYVXegoyDHhQ+V5jVVGMs04x7L0Hnui1cRAHmMeorTx5o+tjSom1fXg94uceO15du1BcOJfIfHfmdPM0R51zdTx3w/fBgRwXbp0qfznP/+R+fPny+zZs5P/vmzZMpk8ebKYlV3m1KlT5eGHH5bW1lapqqoSkR2itzstLS1NSkpKZMmSJXLCCSfIp59+Koccckiyxq6IyCmnnCKnnKJJCA00yyEvF4f3F7aQfA6DC0XTrp48rpyZ7SFv3vhMnJ2yiI81PB1/7AviFq7v1BDD+EycmKZk4caEM6JZc5JDbuMyEEwGCTyqkyxnV2+nDOht3YhsJmfjtbLczlgvfn5tN06c6s9VE32CNxocrs8g2aDqAHmLqMQvm8olG55AjVCWqGF7tQX5ltPcGMZmD8wX7Zw4qF0rc5ZXteFnx2ZiX/NaETR5HPiMmwJ431/4MWlNpZqwp7iT6DPjfQjA1Ko8IiKfk4e+2IncX9avVe+FeYf5lDBFOWsp0j77ET+vjkLk7O1VAcQg6hqZtIBzFa7OCJ7soU04JqfjPjRFS7euV/t+AR1jj+n6rt0nT4qIpFFRiNI07A/8zOsVgBclulSxA6/FRJXxGBSv8COY5Ez/U0vwHW1TJAi3k+f4vSbcWJ5UhM80h0Lk9QRUeSPDpm5GDslGOk0zqaXUBvEZrjNgsu2g0FBoR+J4rUv7kJc6o2+Mdi7SkM0x4Hisod8udOIznpWLD+KmLfdD+7fFqKbzebu2yao3UTVBwXmugDbUWR7sD5+1aoOyL2VLvQ9M57h+K9vnwLWrq0uuuuoqueGGGyQ/H8nbjY2NUl6Oeos5OTtm1oaGBvi7rKxMRERisZg0NjYmOa7btm2TOXPmyB133CELFiwQi8UihxxyiPzmN78BMDuQjKsd8TCrpIVuRRtOsmomaHsMF2ROpmK+z+P1KPo/LQ2F+tkqKaQ2RNF19ZOkEO/YmTPFtp0A3JOt66Hto7Kug23e5N+8u8+nJASXuX8vx9EFfmhnuak0oskL7RWt2vk5q5zBHxsDn3aSesmn8O7SbuT2TrBour+pv43PcEUX7jQmElCtI2pIjgN/mzmz6xTP5SgfLkx5tJi0UQVXK3F/s/KRQpFOhRaOo9Dj5m4NtQVJuaE9wvx1/C4/cway422of8yapKqWPm8st3XvXjJMJLViECcOkQNXlrRgXx6qZIYNoeIWnPiTQe2bvsJznTeYk9LwWguciKJH+LT+09qDCL0pzICMeOSkUDDIiR3CTOoMVeT9bVPC9eOpTC6H3zOt/QPXTCt+/jNyBpQR9yBTqerFyZfnDsbn4CLuNlfKYk81h9Q58vRlqCH5t8+GMnwxurFKqvhWHsdqVyw52EEe2SNcKEmm6qFWenG+9dEz/BjrCaRQhViF4sbBCFRrg3j8mAINGFcHECSzsybbRqWP03C+nqDMD6937mt+qa4q8G1tnwPXW265RcaNGyfHHHNMyrFQKAT1bEUkCTbD4bCMHj1ahgwZIjfffLP86U9/Eo/HI3/5y1+ko6NDov+/vnMgEJBHHnlEjjrqKHnggQekvr5e5s2bJy0tLXLXXXf9729wL4zBBnsmCTuk1JPfL0ObvNqpxGMzeXtY9oeBqoN6CIfUq4Pk/VX+5rDylx342x5yi67s9EP7iDwvtK2mEdBmT4X6e58htktRQ2AJKj4XJ61sbEX+1pJ2XFR9ym8zHytVsYB5pZRsRyLhTaSn40jg4lSodIiGHuwLLREEHlzSlZ8L0xw4bP335mehPdJySPLvL9qwr3W48Mu82GztwjBnwzp0H75Qw+oa+H31nbFOL3u5XvSvgfYsOxb54Mo7zJGsIbEMNZJhI943v1/mcnNFsVo6t4M644w8nAPVkDwn9rVSUtowqup0+0gcg6s78dqmZ+PGZmMXcj/zoorXk8YIh+eNBMg4YaaV5qaNAWwPc+E4eKj5neTflxhRC3edH+9rfvdz0D4/B9VSOIEyh97/F+3425/2fZ78+4oCpG40UzIeP4diOjdvLoIEZFkfd2Ka5tBh4Nkc4gpvvEGHpviIGhYgkMwJU5nKYaYNVVMhnEG0MWFt5DbibrNWMuu4tioFSIZQ+C2fxnewD2/USpGGQW6NZmbuGgAAUPe4fivbp8B1/vz5smzZMnn11Vd3edxut0uEPGfh/y9z43Q6xWq1ygMPPCBXXXWVzJw5UywWixxzzDFy4IEHivH/AxOz2SyDBw9OJmKNHDlSYrGYXHrppXLNNdeA+sBAMZ6MPm3GyWgiXfLMPKqkFfr6gyKVjE8TOi261VS2cVEIpZvU8qQFxK8bRTIv1VSukr3B7LkKcoo7mZoMsrgPhbXPy0DNwQ0Ut2Se2sZuBFHddJy9x8PA89X/hN0d7R/Ius04SVf1YRLEeDfxipXXPyUb+0JfAlcTTsYqoI3Lolb0XFioEo9apUsEa9l7yLO4nwc7F4vb78nGZfAGjsq4Ku+EQ+ZcV+WQyMh+f6u+h89NHjziBqtlV7cSx6WCpLV4wX+1Fp/xQaQMwBxKzphWSxtz0Qau0Z5Jm8Nhbjz3YYW4w+uN4rWXpyMnNqKArNYwgh4um0yR4RRvbkuk/5KxeeSZvqlYK2c82ouTx8QMKkbSgUBV5UuKpOIG9gbmknfgTp9GHbGZ8H2zx5STM/1RvM9M4hVvasXNQZED35FD2Rg90IRyV2f6DoD2Vx04P3NyJU+h6ylv4MvEJ9CeEdQ2CIcW0EYUTyUueoY+a/+hJqZQMZ+6UZE0Y9oY5098Qhs2uwmfaYlH68cGwz4GjXpy1re2fQpcX3zxRWlrawNeq4jIzTffLG+88Ybk5eVJczNOrDvbubk7ssLLysrkxRdfFL/fL2azWVwul5x88skydeoOuZS8vDwZNgyr6uxs19XVDUjgegC5iyZkYMiUQ03N5LmoUTiW++eQzAuFVO9rfB/aM8wzoc2C9QfmoJdsihm5Rvhbuz0kIqn6lFyRpsKDk1MigfcdokVblbA5w4JAlfVJD8il6lWkvXMwleEcRJnBWwK4mVBD1VTjIWUh2pgyYePnPRTmzImhl7SQOJTq2sSJesw7ZEF59uZPyUQQtaKNnguRydSQ+xOtyI/Lc6Acjo0E6rmoA9s4SiRqpNDxs1Xa5qPQidfF2qocOWCKjJW8nBbyyHNUQ+VTszeIVN5SvOCcEMrcbi9dO1dxUtc8Frsfk9G/TFBTiN8fqy0g8HlsC473oUoynxo+FxEZilghRTKOq5c1UgLdSC+2s214LT3KuFnl7x/sc1SKaQlVQQQ6ozx4fEomnq+2R/t8fS97WDnpkHWa0boi+Mxn5Pih3U3HJaD1+0Ps0+BQH23Q9iMAz0a5tXJQLk4I3jb0ZE/P1a7FSnQM3oh86ce2nTjMvMHjCArlrMponzZHN9Da0BXBvnEEMigk046dy7SHUsbfu+0VVUC3nbZPgevdd98toRB2sEMPPVQuueQSOfbYY+Xll1+WZ599VmKxmJj+f5LJ4sWLZfDgwZKZmSmBQEAuuOACueGGG2T48B3l5mpra2Xt2rVy+eWXi4jIpEmTZPXq1aAgsHHjRjGZTFJU1D9/c18ZTy4cYnMThyqW4Gx8bap8rQ6f71A3Lv7HubCqDyc1TXXhwsVJEKleMG3iZC8lt99s9EN7eiaG4xlUcRWwOpLEyVVCcluJq+lMx67O/KxzBnPYEj//SSP++CgfL0eaVbjxs+xxKyQvJ3ueGfh0x/Ed/rkRS4gGwlqC1SUFc+EYe4braAEYg+pZKaHF44pJD5XklVT+5hFpCFSzyeNSQMlXmdRm6kAPCdS3k4fuJyVau5HEzFn1YVs3Xgtz+9TMbZFUugeDz1KFy80e8zV+vK+RGQgWx1GiGFMo/lODgP2wPNy4qKCMNz2dlNk/0YeRBTPNJflUrWwbvYNjC8m7qIAX3jDvaaPKWqtMmahw43NrIY/ukjbtxpk3zCWeyekt6ymZ0klzy6I2PM5yW0OVpFSm/nDSmZs2ZEvbSbc5hHPwENJ17qTNxqs12nwynDL1mCJjID8oq8r8teFxaB/sOB3a74X+A+2hvWcl/44l8LpYRWAkbZp4/Je7cfxuCZDXtB0VE2b4NKcSa36zbONSDEqJUGVEt+LMicRM+54jqdu3sn36/nZ6TdkyMzMlNzdXTjrpJHn00Ufl+uuvl/POO09Wr14tjz/+uNx6660iIuJyuSSRSMjtt98uN910k4RCIbnuuutk6tSpMm3ajp3p3Llz5cQTT5Sbb75Zzj33XKmtrZU777xTjjvuOPH5fLv8/X1tazrQy1VIhRJK0/pfjFYHtFFspVfMGpOcbc1gkUMy99QvhvapHixH2qgIZC/tWwvHDrAirzBswPt4tgOr4UzuHgttB3EJWfD85fZtyb9npJXCMebmrmJJMQI6Zw9GNDkrB6/1k2YE2a8oqeBftLMXy0htvBamZ2RQadT93DgJjzagSLgaou8g3tjGbgQmLMXFocOHmlHn99d5mF1fgZcibvPuPQcq0BARiQspN9Cmh7PI+2ih5BDfFx3a+W3kMeV68SO8eK5a8rixDuiitk5ol6ehO1ENa2dS6eFyD4IglijqJKrI3XXIGz7F8xNobySAUKpIQZW7aING74PD2LwJjsT699B5Sc/4oxbNQzeJIkFcrGSIB79rJ73i1X58J/4I9k0udjJekaTi8cxJauzd/bwFj4+mjee0TPLQZeHnWxSQXk2qAlwIJdOG61qeA8/FesWFDpzvTQbsP2py5mbyWrpJt5W5+8wj/anvbGizHF5GJxakUb2iVKQtJUmY74uVH9aQR/bLLlyM8s04xtS5qdxDHFbyoFamc19jp4b2jM2BAeDt3FMdd936tQG98cjMzJRHH31Ubr/9djnhhBMkOztbrrrqKjnhhBOSn7nnnntk3rx5cvrpp4vVapVDDz1UrrzyyuTxIUOGyL/+9S/54x//KMcdd5y43W459thj5bLLLtsXt7RXxotNiML9HGqcpdAf2IPGw4WrLq1owwmgxIU7/NGCBQs4G79I4f5ZexGoslD3DDtyNdtC2dBeT/IroywoBcMh+YBoO/Z/tX0Gx07LOAPa2QQ2mkmC6N51CGwOKcDQJHvJ1NKJ+2czzQDDkNU9eO7ntmN2ziDycrPxgp5p195RMYXbCp2kZ5tSWYm4oA58v+zRY71EteJQAfEIZ+dix+QCBO834UL1F/Ik/70caSs5NuYWas+R+ZLLWln0nTLcacHuoefSR2q6JVSZS1UZINq31OBeQVpJI7SYsq3vH3YqtOnjKRqWxQr1JEIJUkGqAJVL4fY0WtD95NXkhKt3m7Avqomja7oQYHHxg65o/8tLFiVvpkjQUdEIVeorgyTCGnrxusd4sa94KPRgIQUDplDxc1UpF0PS8JleWILzUifNqazry/RG1iteTEmOaqXctQHsXF1E9RiWjvMUR1xSKojF8aWxHKJKqWEPOWMvLpzBm2I7dYejCrBvcaU0NUnRkSKdiGNiFcmbDaZ3pBaQSehyWD94G3DAdcOGDdAePXq0/Oc//9nNp3d4bR944IF+zzl69Gh58sknv5Pr+z4sx46DsDIdRzTzd5wm5Cm91aDN6ps7cQBviKPcVQnVjx6fiZPoINI3HEsrRj1NNupEyVWbtlBI/PlO9N5OMKB0y+HZCGx58mJQdXG+9v0v2lHWxU8cRQ6hTcvC48Ukjm4x4jOvIfFstRTqJ004Yw9Jx8+uaMNz2Q04DHlOYw/t1Bz26GrHmbvJtAMGUWPQcSzdlHXM11JHBQpUz2ZVD3vvsM2RAfaSvJ4/EdpWE3pkVrR5oe1SvIu8iJZ78DqXteJvZdmxH7OSB5cb5kzv9xt2X34nlwi1zcRxsZnw/TlJ/zaN3jcvswHFm0h7Qcm1M5WHwtYdOChHpWNfzCPv38luHLRBBYy+VIsbj8p07FucpLQ5gP3BTVW/JmYgKGNVgrcbNaDjoQ1UoQN/mxN/4uT920r9+L0W9LD/tNgLbdWhv7gN3y+XMmYuqIUAeQlJNflJW3cweRvU+eSwXLwudkzwhrqFKDTVYaShWLvxfENJp1vdjHDiX0eYwT8+B440sTeYN4usrV2qKCTwfTKIZjUEP5UubleSt/Y5Zkwk9jI5a19f+MCxAQdcdUutVc3lRj0ObLvDHFrSJsIMqiedHymFNiettFEIrp6lmCgkW+Gh0KOywG+n77J25iwrhqHTyD3A3tyV5A3mErJqhL2SQsPdNJGx5+G9Rvz8UYV47mHpCKI8FnyuajnKYpIg4jlqUBpuTNZ247mruvvXTq2hULPqDWSPKCepDCbP4YJ60rt14n0XUGY4bxZUnpufUHIOueAm+PCZFzhxoWomz1Mm9ftyNwKbj1s04OSx8KSO9zmCuIGUbJ1yn1u68fs8LlR6x6w8fF8ciBxMPATu1wxUuXoRW4einlFMgM1Hof0c0mEd5vNDO0xe0Y4Q9k0nnU9NHOJntp4qm3FfCdKNM71jfTdGB7xUgUrVQ+0kYMoVxA6gjWi+nfMCSDaMNirbSOZPldrrpFDPZuLD51LkIUQV44wGvM9s6ue8SbIq0YIa0jplrVxWcmCAP7cUuT62PYDsLsXTXEvAM412TUPScYylkcoAe+R99H4PyyM6j8LHbwz1T7caTNUJOSl1g5JMG40bibS0D0xPzvpWpgPXAWic4dxNEjVm2unW9+IkrCYLLOhEuapyYzG0eVHNJI8blyNlJYAAhWzUhPggURi+6Eby/SxSdBjkpJCaMCjGiZE1ab/ya397KcuMs0qtFDouJu8we0XSrHgztW14LSVp2rWkU3IGJ2c1hnDYvRFcB+0DvQjoc4mvyRJIXygJU9s5EYxqtG/pwmtj8M+yUhwGZ8misT7tBzmhiZMM8+xEQ8nyQ7uY7mvBtkJoM1+zQikZ67HghW4nOkYfKVLwJqqKwvusSbmFuOGTsrWBwF4u3niyx/SlxhZoXzIY3d5dlJS21o/vTK3xzgBuawBBEXsaXRZ8KV5KkMumfr+2DfMA1nZp/YUVLIpo/G6kyllcHIMLUhQTF7SINjbVQQ1ucPg9QffJmrBrKHnn5BIqw5yH32c6lgqExhE/lpPSMkmnlTdobDVBhFEcNZmpUGaZNtZOoHhNB3miafxzxIQVSpin+m6Ddr6D8vDcWTbeDBDdhvpHiOgX7eRMeLuB6Tza5zmZjjd3r2EgUWbT+0xT+PQGDgXsC9vnbt8ftunAdQBaXS9OdBHiIdlJVaCUFpvWiBZSO0yGwDH2grAHNUAzQhd5F0wGFu7H79cpVUmYPzk7E7lgfHxRCy9GeK3js/C3RpK3V72ydgJNrJ15SD4itGEuBFUcpuwgbyB7gz5r1RbKUtJ54QWeVQROJaDKiSUbMbqXUlJ0iMLX5HKxX5CXmm1dGBNLtnajR+bwQlxUOXN4Zbt2c0vDuEkaa8G+56NiIm5KcONqN1NzcKPTR4lEm5QM+LvWYr9cY1gK7asKp0CbKTAcWmbtXaa9qMNkHUaZU8TROax5bC5yud+oww4ynJJeDiOpn6jirWEP2QcUOZia3b8Xs5QS4DZ14Y0WE+iqVNgB7DNiXqik95/4xcCWN2Td5A3e0K21Wdy+Noj9fIgb+9pwkhkIxfA5uC3ssePqZpoxF3OSjxLkKOkwRBuRbPKClxAI30Bj8CsFbJa5OKKCbdYAL0vHeWuDnyku+IzbqUT0OJ9KQ8LfYqDKCVHdtG7xmGIu+GSa31XKRQcBdH4HRS7ua+yR1fqxOaKDxh+66cB1AJqd6mz3UVihjfQs19Fio4JTrhDD9cPVTHwRkUn2EmiPzGDPJV5rC8mxdCr6ei+1/wGOzSu/UfqzDgLRXDKQAVwrSTttj2lulSX+h+HY0RlXQfuTJpzg68hDN4zTzMmWI6aSCZnatbAUUx1VRmoN4eLxQjdq6f4k/VBocxUooutKgzKJs3B+yR7C1K81vAjtYjdWBRrShVxhTmpT7fx81EvmTRJnJbvNuKh2UWRhQzfzrRGcqE6LY0m2a2Iv6l0y0GmlakdVFBrm18+qEyrVZAglemWTvunKdkqgonfEVZtayROZklikNDd34bF8J16L2UAAjaIBC0n8vp0SwYIkCq96+HiDxUUcuCAFi8hnUsVtBnzc00qVcPDHTXj0lY47oW0yXAPtAgoV3VGDuRSnZGCJXzZVAmuMt3/dr00BvLESJwLbzAQOBI6oPdSMRQCuKZqe/JufOW+Cx/j6996OzaSiDyk5CvgFtXAD62Z/0oznGkw5pSlRCqIK5dCGbmELJdgp+9r/NuEGewaVn+XoWwZF3DIUHjFHIfaJ6R7Xb2U6cB2Axp7Gz9txAZ9CKl6labjSrezQJq9MklYaREB2QhSBKod7WSS8l8IsawJ+aFc4vcm/Ly5GoMq1qJcFG6B9Wj66lnhssyeLkxiGRbSY2hjnDXCsOYSLx2EFJBpPgC6bBM1Zg7aBPBttipQPc7v2I89wNqXXTjIhUGWA91ETuiamZmEcO0ehEniteG7mZjb34nM4IA3lcfYjRYMRdO2uFHCxez3bYvJqFhA3O82M1+KyITBtCqHXjAsWOJV2cRquwJ1RBGQM2NsJADBf00WyUsw7VNUbWFe5nqgg/+1GtYQjnXOgzdn1zAX0R9kTqf3NoV72ir1Rh8/sykp8B6cXYYF5lhyLUji3wa/1j/eb0DM4iWq5VBAnmTcmyzoQ4HGpVKZBqLQkolPKmIxz8Fqy8be4clahE8tH85jlOVj9dkMIr9NPihZ5xDtm/WEhrVxO5rqyECUGl7Uq45vAvot4piy9xfPaXxqx8tYsy1RoG2k81ypqDVyamOdjzvTnvnh/dSO0xzsxMXhQP/z7MwoQqDKloZU2fwwLF7Zq7yBkNQgFUL5fS4heOetbmg5cB6CVUphrWiYuyixZUxPEz6tAqYYSpJhvybJA9T3EY6KdK1MLDnEiijYoo4tlR1jCZrwPJy5O5lrWhjNlthVn7SkkO+VWOHbMp6sjbxD/FvPz0ggkFVN472Qig25SytOyZ4lBEHMYF9TjAs90DK60xF6UgIL3FneiZ2KSG8PSlZSk5KPkPa7EVEOcuAhNuCpwWtKKzyyDyqQeksclIznhCX+rIh3dSbWk5PDcdg3xhemhTCYdzvre3QNsEZGt3fiOOGzJnihVHompPFlU3OJnmViNiOk1vAh7qN1O/UH1GG2mKATLH00hAPeFH98BlzZmLdYy0ol9t1H7PvPCmV6zOYDvawupCtQTOXQMcUc5ecds0L7PEmFz0gdB+8nmTdD+VcFQPDclLf17u1/6s0NytHkuhzzq2VRGlwE434eT5pYOArbMvx6hUEd4U8Mh86UteG0umr/nZmGJWDbWfd3UpZ1vFsmu8zzEnkw7LTZD3eiY4Ptkm5SlzVWcjMXeX8Z0rLYxIl37xGfhfY8AE7rH9VuZDlwHoG3uQpfbGhcVIKCQKQc+ViiJCD4Kx9xV/za052YeBm3eJa+jsjBBkjzJI+kuFTCysP7qCGvrYffrompGHjMuuhOzSKOSMoW7AEzgZ2floVuLs9D9xKFiL5qT2mnkedygyI590o4xssE2L7Qj9Axn5SIC2NyF536jZwG0v2pHN1uuoSz59yAjhdAoXr89iO3BtEnqIkosVwmqpdVmsMItq/DgqsocOPY8caIJe66aKJy/H0k3FSgKCOn0Pjlhhvs1e1gbyJu0lrLUfRS5UEF3mIBoN8n8cCIgUwk+Ivm0XJI86KEoh7of4BK+XKyApba4/DBnX7NEGfNOzy3T+naQOKgW8hx2clIpTVQJ8u6tIO1dprls7tL63sY+jNZMcGAi36HpSFupp7Ks3K9HurzQZlmomDKXBZki0YvPgQHdl514H4c68BlzYmEbVSRbp1Ri4+IWLBM1nUpVM72KxxxvskuptLVqW4PEMe/k5Cz8LstfcbXBPEo6baM5WJWrziZP80ZS/VhH1ep+VU4bT+W+zXuS7fg+TJe2+lamA9cBaDHaP3J1Iq4oxLtPs7JQcpnURAIXrpoAtn12PHcBySPxpMrJW1nK91kb881e5G4dEEaBeVZTGOHFiTJVhBqvdW2n1m6njKh/hj6G9pkZs6A9nDQoeykRaANpiDIfb0au9pwSgjHTbPLA1ZBHhoFqCSUa/Mp1JLS5zGOjEv7Pc+D7KSKvmMmA5+6m8N4kX//AJotoDl8qWcyNvbggz8rDvsMLOj/jYenoec6N9M95VcEH82k5NJzgMUOfV9URdmXMO61SPLTDSXqNPXId1E+5CMRxRezNxfYSrMMBUl78/oYiQyKlOAlHEgocOEEsasNN0RQfInpO3lKNJeXGZeK1cWnUWqpgxBqjPTH8LXWtH2dHoDqKkga5r1VR0iInljMfl8uZ1vRowGikF3c9+ayGQM+UFUpaw4jCviDxfC4vXOjUjnPc4CsqRuImmT5O5OwkcBiiSEIL0SDUozxCeL7mMWWmDRvzcet4Q0eUmaFKIhrPQ7wZnJ5LXxYcsEFlrtn3HNfEXnJcdbC703TgOgCtU3CE1/U6qd2/sHuZQqFivuRVhUdAmzM7a0nDqoO8XisjVdCuNGGITvV0Mq+wIoFVmQanY/erJRDdTYsuT50dFC5c5NcypobaMWN9ihGTjrgAAYMJrm413I2LD9dR71PCxS7y/jFvkKJ3KXW4O6j60aouP7SLrMiRUzmznwW3w7FJcZQ/4wW6lVYbIxVD4JAqh6LVxKQRHnwmGVSrPEicRfb+rO1E9yFX4hnhxsVIDU1/3IJgIo08jazswHqYwz39U2oYCPmjWue0m7CvdNF9zq/vgPb4dOybcZqG3cS3nIxiHCATt8aPx5jz2r0H75LdhCBrsg9jzzU9CAi4pKxqRxXiuYJEiVnTgQ81yl5w6teV3t178Nf7cXLgDRnPFUxr4E0wR1yaKPFzTMbulT85s5+91NtIooxpJxVuLtuL4HO7MkdzxKOIks647zBF5u+tGL052nkItKOUCNwc1sbcxExeh7CvlKZRJMjBUQq0TqIlcNTjizZt/ngv/AocOyPjRGjzBs1r2f2mmceybj8804HrALRVvThID02cB+0hJLbME6UqHUIJ7CmLKAtv21JEpqmmt2kwtHmBZ+1W1YamITBpJN5pNoVIiY6Zskl1EPg8MlfzdHIJVwaqK8iFxlnJrICQZsIFfH03Dh0VIIxKKY3YvzdomAcXn/c66qE90YVc4PUB9EyFlMzvChPyyPi+uZLWqjAKII7x4UaEE4M4iUVts6YvJ7RlWDiUiO3xPqRYhGL4jJe2IbBR1RtUHV2R1DHxeQvu4IqpCAQbe4/e6KiG9iSHtiFoos0hh19VfqSIyHbyNPqon3PpU+YZqx56lifjzSLL233Sgj9WSsBnBNExWA5LrcT1hR/HM/NOSRUOpJVERJrD+IEU3U96B2qlrXIaM1u78dxMFRme4onGayU6dopW63plyDX0oJfzGf8yaDOPNJMiLjyG2FjZoVd5MKVufGZ/bfw3tA8O/gTaTJE52IaJgWt70Z2fb/RCW3WirOnAhzSCystmkAY4973NxENi/WMnSXENURwb0x0IVFkjmjnqHI1T9cX3eclXPTnrW5sOXAegTbKfBO0KN6LPIS50kzaFEFQtqFe8YIT+TqdShsw7q+3BLhGgmNr23v55qk93PJv8+8i0U+CYg7S0BlFInL0FbEyJqAvSgqAw8r3kWTTQZOUhTdGD8hGojvLg9p8BOvMvVb7WV514n6y9yJ6FBqpXONKeB+3FPTXQdlJOrFV5rvyMN3Uhgh/qRs+RLUH15gk0uSlDuobKuqqcyhAp7x+Qgw9tlR+/O4OqG33lxyx11lZlL5nqbSwm6TTmMDpN2E9508MeN66sxqbyt/Md/F38LCtxsHwWh9AZ+JYQ71D1XK/z47lHkAZsCWVqD3NhX9sSxOeyuA37B0WiZZJP+z4nzDB47CUkymBzYSvpJZGVpWE/V8PctUHceE7IoqRDGq8MkjjkzpuqZop6fNXtT/5dYkMU/EsvRnN4zsykyAMnZ4704Hxe4sTf/qJT25gymD8j40xoW2ii8hGYbKJ+PTiBm6osyv7Kimnufgama/3EnxGSASP+dTol1zaTV/ur7k5oF4k2H9TQnMkb8GmUqJtDCiXqY7F0DQAEqCdnfSvTgesAtG2GL6FdH0J5FINgSGZZO75GNVGFd9zVwf53m0xyz3eQwkEOC3nj902dikh4H9VJ71sN7e4elEcZY0DOa54NF9ECqgKTTxP8FogX4TPppFgxL2SU2C9mI/42c+kHOREArO3Snku5G3+LRd/tZry2lj788Ti9X1ccPY2DbQjw1NDxgtAHcOwIx4F4Lkq3HWHHOPSWAB7nDPj3OzApZpZXA9mtXfhMNnZhX5mezR4XCmsSv469hwWUzDE9W/tAS4Q4yZRcNcqHz5wwlHSSd4g91WVG9HrX9GoraU4vrtANtKFi7eMJJGfHnucaSvZZSVWfgsq4qgkj+NtGSUjTs7zQ5oS5ynR0XXFSIkuSqddaQFW34gnst6tJwaCaqECFdvx8hQcfFG+qVUw1gl7gV4h5ZHM3jikOY2eRHrFadU9ExMZUAqP2gWMzvXCMN1RFxHnlc+WY8Jmv7ECAzu/ojto3k3/vb0aPaSXpY7WEsC8Zafwy+MwkoLqd3pG6GX2tB3MUphpxXWKt5D1tPAuI1tLThxsCdR/MpWyZnlFLUQkvc5oUGxCQUQeu38p04DoALU8wIzadPJFZNpz4ZufgZKWWZWSKG8uEcAZ0eTpOhK93YznSZb0Iog5ML4L2ZQUnJ//+tAW3yUe4x0GbwWR9GD/fFMGFMcOGMx1rOaqyUZQ3kJJ0xl4wFoH/pAkX8EIneRq7zHRcOx8/0wLyWpaQlu4n5NYamo7AdFAcOZEbOtGl51Y4cQxUiwjss+eYPdF5tECsbsdrn+xCb7CaJJHjoA0Ueb0XNCDYODCX5LPI6zXIiR6dbUH0DrcoXjEuGMDaqHycs62Z+1tKXnKfDTtbneKpXN6OnPQjChDIsjd3SRueeyLpn7LixXQa320KSO9rxt+amoPvgJMIWRuV+fLNIXxQ7DVT+89r9XiQN7HzuxdD+8g01AztoEoa7eTA2x4gJQ8FjLA3d0sfysAdn4uUmbI0PFcVRZa8lGDHPPXcXo0i9XwDat9OcqOSxySiRDhNeJ9clauYChQwN9ht0sbcyAycnzvCDAb7H+9cspnnPT8pu0xRMqYOtuHcwtrGnPDGvNMFDThONhnRkcGasmoxDcZ5TGHKInpWDz1jtTUQIKMuh/XtTAeuA9AcFL5ljps/iuhiRRtOjKrHlav08ISf6+y/QtQM+3Bor+lBThRPVhs6tWsZ7kagSbhGgjT5bDaugfYEwwRo1/XgTPhxAL1/M10aPzOdEPriVpw0J2ail4Olu9Jpxz7ai8+NA8lqEoSHNhqtxOXjCf+IbNRa5fBsBwF8fwIBflVMeyd9cXxGpzpHQZsLErBjgr0i0yncz4uwukBkkjcnQUvEOPI0PrkNz3XyILyYd5uwn3PiUb3yGLhqj3MPM1sF7g0kSB35pTo/tMd5vND2Kvc60YYAjhMe2xnRkb1Tj79NeWVSmMb0DO0dZxJVhzVhOQGOece8seVIxAbyZGZna19gbu6SVux7U00ToT2YQHA5lYRtCeGPV1CZVrWvhgiYZITRI762A595AwFV9uCxpmiUvJ6qLOBEFwJV3oDXUEKUkyIsjFk2BaiQCtE5fpmrbfjrSGeb51ROpuT3X0UvuJ7k8TykSvBCa1Xy7wojOilYVWAI8W9T9KYNOG8xUFUTHkVEtnRrIJ03nhwx4X5rI8qT6v3d50pUA4TjGgqF5K9//au8/vrr0tHRIYMHD5Zf//rXMmeO5tVft26d3H777bJmzRrx+Xzys5/9TM4+++x+ziry5ptvyv333y+1tbUyZMgQufrqq2XaNK2SYUdHh/zud7+Tjz/+WAwGgxx11FFy1VVXicOx+wRINh24DkDbJEj2P9CAmZ9M7udMUIdZWxDSLLg4pNEkyrxS9hZyIsnMDARZL3Ui2DzeMzL5t5lmE84ijdB1FyTKoN0aRwRwYDZ6HqdZMJFI5Vu2deOEXOZC1PNRG9Zs/WUpnttrxcWjmyoIsah4oxJS5VBfKyVbdBJg5xAbh8jZK1IfwgGeY9C8QeyRYWIIe6L53FxgwE5Z5Bz2DCmfX08ghz2JzJ8d4uYEKZKwoqOsMqEmXLB+KXt7uSLcf9rXQnuaFTdoGUbsL4u70KNXaNT6SyZJhDGvsNSNfYc5kAu6sPxoufI+RUSKiDuYo0iecfWiN2qxXw71kLg9PUMG/Jz4yeHeRUoFIqZAsNnoA1xelCjR0hXF32ZlCDhGwMVPsnyshcubHgYvTfRcmAva0Ke56EtN2LGz0jncTnxZon5wCWcufbqWKDbqpiqHIgmpqh/YbgrxMyS+fQTBZKUbO8RMe6l2HVH+LTwzPzMTuXv39yDg52I2LeRyV30Pi9v9cKzRhEmlU8xYsndkBq972rXva9w6UOx3v/udfPrpp3LrrbdKaWmpvP7663LRRRfJ448/LlOmTJGOjg4599xz5aCDDpJbb71VVq1aJbfeequkpaXJSSedtMtzLl68WK688kq56qqr5IADDpAXXnhBzj//fJk/f76Ule1Y3y+55BLp7e2Vxx9/XLq6uuT666+Xnp4eufPOO3d5zl2ZDlwHoDV2LoJ2LZWIbCbPxCudD0F7rv0i7VgQOY8nug+CNgvOL+yug/ZUqnbCO99zs0dCW8U97I1N4ZUSNcBE3bHMgW4x5sixlp/aZDF8LjebY8IJujXCnii8li0BKoVIXFCDQZu0a0IIuGfnIHeLeWhBQqrD+5EBEhEppp2p+sw/bkXVCKcBQc8ID343kxZNn6X/0DKXEJ2eqx1XOaciqV7pRlpEJ/jY24NtmxGvfUgaogu7knC1oo3AAnk5GahMtVVIf8bV6xy9CFZU6gg7VLlf1hLnlRf8Q9x4Lexh50SzYoWWwl6tgwtIp5c8iYOJplLmQjpONCX8iwN+mlKRjMPtRsHPrvAj/9ZkQJcrZ/JHUjZwuweyIdpgM1DlzUMrRRq2UBzbQmoqOcT9LIxqc9GXnThvTfRh9IYT4tj7z97dzTSX3LXtNmifV6CVr36/E+fn4Wb0NFcSYGNqWIA2ByEDvv8lAZy7io2KUksMo1ZD7Dg/8xjrIg8qjynWEB/nw7lJTb6tdOFvHUBFXQodPEZwYVP7NSnA7Rvbx1SB3t5emT9/vvz+97+XWbNmiYjIhRdeKJ9//rm8+OKLMmXKFHnuuefEYrHIbbfdJmazWcrKyqS6ulr+/ve/7xa4PvLII3LwwQcnvbJXX321rFy5Up544gm57bbbZOXKlbJkyRJ54403kkD2tttuk/POO09++9vfSm5u7i7Py6YD1wFo2ekYYmOe4igPDsrh6RdDe5OyXhxmR17S1m50exQ6cQtfaMBkHeaCbiFu4NpQC7QHmbR4cBGXdSHzkP6ljRKi1oeQlpBrpPguWVNcc/l93IMZLROtyBs+kMTxCx04yfICnkmVkzJIjLVJeazppEdJVL4UoLoshjziuB/rqHvpt3jOU/uH2+KFY9UB7Ctc0vFDWsBzqIDB/MDr0P6J5yhor1QA4xykv4JclUiqh47Li26jDHcnRQPaKAGrV3mu4zPx2JIW/O7S2BfQLutFD6uVdEC7yMOebtm9KsGXnbjYD0lgP+YxwqFmrozlJmTLwu2NirLHqjhGPHISGM7NMuCmqcSFY25DF4npk2eS+1qb4hRjgM50m2Ekf8dlmNlL+kXfVmgPN5ZCWy0hnKL5QNfJ0loVlDBZRBQpjnIsaSElF0WaqXYPCa5FxGnPteMYZI6rmpMgInJPJSqcqMoRnFPAm2CWIOONTZSqWzUatkF7mhnpWT0xbZBlGhGgZ1LeAHtQOyIczcFrsVMUpI0Kq6yJaLKA+WESM6YoRAZFWLhKX5VS9StiMJAuy/dtiX1egMBgMMhDDz0kI0ei48loNEpX145FftmyZTJ58mQxK1HaqVOnysMPPyytra2SlYXvJB6Py4oVK+Saa66Bf58yZYq8/fbbyXNmZ2cnQauIyOTJk8VgMMjy5cvlyCOx2M7uTAeuA9BaupAq0JWBRQPWd+Oku4iqDEzM2j1XxE4DmrPMHSacRDcS0C2j8rOzM3ARVr0JT3W8CcdmWLBme2cMQ0O2OF4bL7pszTH06OSaNGCbL178LSo320jZ0jU9+Ew56SGTQnQcerYqIfT1nfg+uBLaJsN6aJ/uGw9tlhmqY/msEL6TdkWaqyAN72sYFQVgbUWWEeJa6KcaEahmUzb2QUqC1coOPJebElw4E5g144vJ4+ogPi1nmecqxS44vJpN5L9ZUXzGS8KboT3ZhrXsedNkFKSSbFW0VMuJy83gYRKV4WW6RhYBAD9tLjjMnaMofRxsGwvHGKgwrchIkK+d9C75HW0N7D6qwZ5gTq5iaSYuhtAWRkA3wYZUoRGUMNWqDCs+F2fLM/2GQ+j5VGaV+89+GfgS32rWqEUVDiRrc4g8287heRwXHMVIKT9NVKKNQYWm4MBNcWpyFX63mcBgjh3v8xDBojBswxSqCVdC5OSreuKh1EVxfq5M8/b7W+/0LoX2mb4pyb8Zsn1JnY01n120+Rvh0d6RKfLdAcC9tr0k2jY0NAAHle299977Wuex2+0yffp0+LfVq1fL4sWL5YYbdnj4Gxsbpby8HD6Tk5OTvA4Grl1dXdLT0yN5eXkp32ls3KEg1NTUJPn5GCWwWq3i9XqloQFzVvozHbgOQCvyzoZ2uRs7eZ4dJ4gYeXhUb8NXXTh5TPLhxMeLKHH/U3Q/mVMXIq9akxKKOtxxGF0X8SMpTLXdgLwlG8lCDY6XQJsXkGVhzXtwaPoQOMaVk0g6NaXm+4QMBE11IRwqnzbhxDlK4ZbOykOUy56G8l5UV8imcD1TKuYHsCAB67w2hrRrYW9ueTpn17LcFf52TQ8eZ2/g2g58cAYlPOwikFTkwGdYTRqwzK/ma+GM+CYqN9wSVsP1BKIoft/dh9c9x4UeeE7OKrFg32K+peo95DG0wI/Vyxw0PoeTBBkrOXCbqQhqSVnOGt/czV5ubLPHnZN7WJOWNWVV4XcOeXNfYY9aDp27qhfnMU+cNo9EY1L3YHHqx5sJRY3MQLC4ros88m2UrElyafxcD8vR3pmXgCa/H9bxNRmw72QTf95FPHJ1QyYi0tPnTf7NG89MoomrybEiu6jKF8M5l+fgsS7MYVCHFXvYWe6wPYpz4kiXF9q82ecIzEFUWVGl2LD0IdMOmBpSSHMPr1P71BIiiZSQwdf73v/Ktm7dKr/+9a9l9OjRcuqpp4rIjuQtK+md22w7Olw4HE45Ryi0oy/t6js7P9/b25tynD/zdUwHrgPQzMRLXOPHQbfeiC+evQnqglLqQETG4RhedLsI+GTYOISKn+fypepOd00XZuvkWfFahlqRNzjeipMmL4SPN/4O2tcMwZDaKW4NrC5uwdWDSwCWUbnZTFpM+JmWkG5rJyVBqSE7nkQ5DMnAdDtGmqWNUPYoO+5Qy6k86SilHCV73DhTm7l9LJ/EoIn5taWUdayWXWWR8M4ocZZduJgwMPVZmXfInEe8luWt2vm4whtbhhWvm5PQ+OttJMX2UQR558ekaV6PlEpoRuSFp1txDPEibKQVaQsJ+XOIXVVT2EScxMmZOMY4CVEFYCKp3t3PW/AdHFmI114Csm8k0k+Z/Jy0tqYDn+m0TIyosAc324b9Q1XjCBDHlTdkmzpxvPJ4P5lqwPLmkitvqXNqI1VKI/GDlDyAdZS06MvCa2UM00CbZDUC006RoCebMXJQmsASz4VOnKeyhDSHe3FefKThHmjPcP0i+XeJA59ZN/Fl/QYuKIGOB9ZG5vGNPRU1qQ+V2XBsT+VmG3p2PweH9y1PYIftJcc1Pz//a3tVVXvooYfk4YcfTraPOeYYue22HVzqFStWyIUXXih5eXny0EMPieX/z/F2u10iEdw97gSXTieFgUQDtbv6zk7FgF2dc+dndnXO3ZkOXAegWQz9y0hxKVQm4Gcrc9UHVI8ym6qXZFGoKSHsWcJzszLA1iCiFfX8XhOiIF6AWZqL63BnkNTPsRlX4+cpe9eseAQ6BD0qWUYEyVwZqZUqYR1AlCrWBUwRKFdWvqoAnov5dmzVVEIy34kvuJWqlXURIGQtVtU6Ujxs/Wd6c/JOjr3/xUZ9ZSx3xB52lqjJocjBknbsL5N9eHGD07AvH1agebY/aCLQQ8k6a4mHOpgWukGUUOOx4upW2ItJjaonk6MQRcQVYA8cl3TNJIDWvgduYIYy4LuC2M/TLfgSflKI/d5BmwVOarEYEXVtJwCgZsznOfFYMXHa3TQxsdTSJqrbyUUimimZr10ZJhuo3JjHit9lGgKP794Y92toptA91CTGNlIJWd/J2qh4nPmXPtokB2N4bXx+le7BlIhz0zlyQFxPArr8ToaSbvekrN9Ce6HiAGgL4/sKxfE+9nMgJcZg6H/uaKUNAN/byF5NLotxHhenGUrV6CrTCTwpm56viDP+f8FOO+00OeIIjXLocu2YJ95++2254oorZMyYMfLggw+KW1GVyMvLk+ZmVFPZ2d5VEpXX6xWn07nL7+z8fF5enrz77rtwPBKJiN/vT9IQvo7pwHUAWjiBI4uiXinkf8ZFdYqOYJ4dJyYGLp92YvWqQST10kIe2onEiazwIABQ+ZivdW2EY8PCGL4vJID2cN0d0L6gCD2qnCnuIVF4dYFIs6D3likT+Va8bvYsX74Nd7VzrMgrqor4oX2Qwvfh0D/pqKeEQKdl988z3WrEYco0BxUgclGGbQFETT7yPHP4r42ujSFxG0Vz1LKNrF5USeVH2ynhicuLjvbic+shIfZW4mer+sZMM8gmTvJxxEPlxDEG8F9R5jjzWBsUTWGLAQEZe9TD5JJ9txldcCztM1JQZcBOMdXaiNaXD8tCb3w6qUJsI47qjGxSZjDy7MEcd/ztsKJhZTLg+8inTQ9rjrJaRi5VQuMKYmxrFMGMQwvxmafIW5FkHCs7lKcTmKTnxrKAr9RpHWQUzXkTaZPLHvhsK1O7iB9P982eZ3VObSBXcDROUmsU3uEiDwGSR1xDYJSTEIuV5N2WEH52Enn3mV6xpA03i+kWfG7MQ17PicN27R02hMhbn43nyrHvXl9aBGXd9iZK/53b96wq4PV6xev1wr+9//77ctlll8mcOXPk7rvvTgnhT5o0SZ599lmJxWJiMu3oN4sXL5bBgwdLZiZpHcqOjcr48eNlyZIlcsopWrn3zz//XCZOnJg859133y3V1dVSUrKD+rdkyRIREZkwYULKOXdnOnAdgNYVwYXso2ZcRFmT9OPgJmifnq3twjMoG56pAVPcyJdkL1kzefuWtiCyiVOYMxDXjs9Mw8zt13o+gPZIG3qxflfOQBWvdWQGLkYM4FTJG6YwMLf3kw7M9F7fh4jspmLUzmXu4PgsHLgNyiL9PElSjXJjYk8nLSYR8rgw39JPiWWc+a96/DicXk4cZfbec0ECtv08eLzcvfsEKhaF9xNQ/RQ34ikeeJZmSjPjQhnow35frYCy5aEaOFaiFKPYcS34W9UBvK/5gTeg3RfDRbS4D+Vf8pR3wAmODFQ3BBGozszC/uAweaHNYhzMz66IKRqy1t2H00VSx/vWIC5OJVS1qYC84E4TXswWJSltHXk9gy7sly4KDTOgW9JKfYv42CkUmoj2Tj6kKmwuAmQ28iwzPaOK3v86AqoTaF0+u1RzAIRJf3ppG36Xi1swUGVQxWPWQpswNepRTBX8WCO6mRPFaMAzFchLYIXnnqqgNiYZLFZ1k1IDqd/sRwCfC1ZYSYIs245Rjq2KlltPAufnJS3klc7HnWqU+l6RQ+urptRI9fdue8Vx/Q6ts7NTrr76atlvv/3k+uuvl85ObY6yWCzi9XrlpJNOkkcffVSuv/56Oe+882T16tXy+OOPy6233pr8bHd3t0SjUfH5duQEnHvuuXL++edLZWWlzJw5U1588cVkEQMRkTFjxsj48ePlsssuk1tuuUV6enrkpptukuOPP/5rS2GJiBgSiX1eR+IHZ3PmzJGtW7dJVVXNnj+8F2YgMv/5BddBm7OQOQtdjZIubUWgESNgyp7GN3s+hfYIwV3QdmM1tCeZ0Tv0XIfGozkj8wI4xgUHuOel70H2iSu1MKsx3s8xDgXyvMFJDyye76WM9+UduCD4FQCYRkCGq3ixZ4J5x1whLJ+ke7hC1bJWbUFnThtfC+VqSNEe+F783LgyE2eh92edlMFeQBJkBQ4Ei0ZawJt6cdX9pFW7V74voiDvwgvO4V6iQJDnaghxJFXVie1BXFS5sAI/w8FUTpYpFJxIwsCHOZaqDSfZJycl/nSQpFgjcaBT+Jl+vDZVKeDZzvlwbG7W8dBmeSQezwxkObs+z47Xrg5RjgS8XY+fZVBU5Op/buFNFHvwtyogzUPzFHPaX27FdeHwDOSdttNOZEMAI2yjPbjJHqSMUU6I441KjCZV2lukUH/S6ZkzTUGVpONoC8+ZTIni5LxyEonZRpRYnotUikRDb/9rHo9vN/X7TMXrfWvnm+Io8O0VV/Tb2pw5c0Q6WuStY8ft+cNkh7+yUiQj+zu57ldffVWuuOKKXR6bPHmy/Pvf/xaRHUoDt99+u6xdu1ays7Pl5z//uZx55pnJz15zzTWyZMkSef/995P/Nn/+fHnwwQelsbFRhg4dKldeeSVUzmpra5Nbb71VPvnkE7HZbHL44YfLtddem+TIfh3b58DV7/fLPffcIx9++KEEAgGpqKiQyy+/POlaXrRokdx1112yZcsWyc/Pl4svvliOOuqoXZ5r2bJlctZZZyUrP+y0hQsXyp/+9CfZsmWLZGVlyemnny5z587d62v+XwPXTPdYaI83YZi6xIkLuJmQkBpqfqzlWTg23XoctNMpdMyZoVkW0lqlsCVPTuqczhO6gbyzX7YzpxUXVQZ4Kd7fONZCHyWa/m2Ovf9BwJQJ9tByBuysbARVzEv7sElb8TnBjUHQSB+iA5YsaiFgwrxiD2sWKiCqvgff3yAXeiJ4uLMniq/l0yZc+UYQwVotP1pB0ltDKBkrzdQ/qGLtRc62bg5zWFR7DpT/lOKtKyLe/6YuvM8G2iwwZ7Irin2vLq7pBKeRasC0THS5fdbmh3ZFGh4vJX4tV0Nib/9Ipfxwtg2v+4Mm4rATZYITnnhD1k30DOaZuhSgw4CbC0ys8+O5v4zifDnTVQptBjZftO9+M5lGfWO1H6/7v53LoX1cOm7AmX61jRLi2imErsrKsYoAa2NnUh7B+Cx8Lrz520Kc+BS1jX7yDht6dn9MJLUITBlVSqMpVVoInKpSbLw5dKWoK2A/baVz1RFdg3McpucyFUj7m+UJswiAc9IwR4oyrdrF39fzmrgKM/YtcD16L4Dra98dcP2h2z6nCvz2t7+VlpYWueeeeyQzM1P+/e9/y9y5c+Wll16SRCIhv/zlL+Xcc8+Vu+66Sz788EO56qqrxOfzAYIX2eGyvuqqqyROXr2tW7fKL3/5S/nlL38p9913n3z55Zdy7bXXit1ul5/+9Kff561+bfP3YOjfln4otFnoO48SrFSO1G/yT4dji1txd89zIleB4eSeJlrgLcS/7FN8Iev8OCu+3PU4tEc7joF2XRAn8NEulCQqojqPGX2oQzdC4VRu4QRXss3diGwqPXjfnAG/KYCLEYeeVTDJ2ooW8qC30CTcTPzK1hA+t1wK9y2i8odDHNqK35HA+2oO4GenETVkG5XGZe1N5iGz/M5hBdq1Ne5BsaIxjPfxxla81rMGU5lG0nGNkM6vysdl5Qa2elrgebM3yoc3xp4rewj7ni2iERu39qHmayyBwNRGFaXW9ODnp2eje58F691m/H4VyIrhMRXUioj4ycv9pR/bh+VxNTLmevJz0Z4be2t5w8XV68aZS6HdTt493lTNyqVywwpQZhrK8524iT3YPgXaPM8xUD0gB9sGWho3KPMJ80jHZxJ3s483ogyy8NqnZ+EEECY5rDWd2hi8YeM8OPYLpaqWSGo0riWIY2gdnZupYcxLV2+VoxTME2fdZk78q+5mQI7f5w2BSoFinjergvCmhz2yajLtvhbGSohIYi84rgnZ99c+UGyfAtfq6mr57LPP5Omnn04Sc2+88Ub55JNP5NVXX5W2tjapqKiQyy67TEREysrKZO3atfLoo4+mANdbbrlFiouLpa4OS+J9/PHH4nQ65aKLdpRBLS4uljfeeEM++eSTAQtcM11YzWJUBlW3cjKvbfcT5Vo/bntZNoQHQkMPSRSR15QlbhikqcLgESpGfk7Wz6G9NYgTts2IE/qWAKKNinQEl80hXODTFHDZTuDPQy45Phcn87RRZjd7Qdi7oOpj5rIOJ4XzNnfhO8kjzqrTjNfKHtZpPi+0VW+E18DvlzKcbdzG31rvRyBzSAF5ZE27R4ivEi1lzFAOv+JvTc3C5A7eJHGlrEo3IqMKxVPJvEHm264ijxxnjfNm0EQZVuwdUjmVsRj2tW7y/oz2Yl+zmrD95+3IaT8nH6sj8SZJ1ctN9XLidY7BvZ+QCpQsaERgyhzIHPLQdihAmKMUvKnhiEplBvZzBjrsHWSPbppZ618BkuL6de5UaDMNgUPiB+bi3MF0DC5IMtKj/XYjjRkPeVB5E8VebfaSc6SBkxzV4M8vCxGosjFHdUImFXGgzQIXjdhIlRFVahnTb1jjl2klBRTNKabIwop23Liu78S5a7gi+1fo4DWP1iUrPmOmevD71e2HbfsUuGZkZMjf//53GTVqVPLfDAaDGAwG6erqkmXLlsnBB2O1palTp8rtt98uiUQiKbfx8ssvy8qVK+Vvf/ubHHvssfD5zMxM8fv98tprr8lRRx0lGzdulOXLlydr6Q5Esxtx+8jam290oCD9ERmYiKJ6uoIx/O4n3ZiE4iQVAbcBJSkmJlBuhT1RLEj/eXxh8u/9TQfAsQ97sWLUNDsmb3Ht8jQzzpTkFBMnHfcoE6mJPMEvdH4Cba+hENonUtWeaZn9x+DigkhXFRlnCRoTLcBOE94oc9y2Gr+Cdk8PKhxWGPana9Em9XYTZkAdnY7lY9kTwZI0wzy4GkUpgjEfu54cU6R1tkuH42cDFHZ20G8fkY+rZFcUf7uH6Bg1pDnpUxarKgIaaSbeaOB11wYRuHA2NSc1Mj+7wqt9fnwm9iWmKdRTiHRIOt7XtDQEquuIb8uAQeU5DiW+7EQKS28mIMJlVrls52aiULzeg4ll49O1xDDmJNIjSwGqDCa/bKeXQubKw+ekghGWVmLCG0uQZRI1YH03PlS+b4eZN6bazTWQhugYH6J99jRu6Ma+tSmA7UFOfA4ZFGlQI2jptIll+bpt1Pfq6DlwjkMlKXlkEQBUAR9TvVoIcHvp2tinuJ8Hzz2Ekoyrg9iBapSEV65GllLsgjyylen4ICKK+gJz5793S8jeSRvo2UhJ26fANT09XWbNmgX/tmDBAqmurpbrrrtOXnrppV2WD/t/7L13eFzVtf6/1MuMpkoa9WpZ7kXuYJptOiQYCHAJTkJIAuQGJwTC/VJuwBAIxMThhlwuJKQQCJdUSgLBMRBMNy5g4yY3SZasXka9S78/fNHZ6zPWGGywxS9nPY+fR9tn5sw5++yz99rvete7uru7paWlRXw+n1RVVcndd98tDz30kDgcoZkmZ599tqxbt06+973vyU033SSDg4Ny/vnnyzXXXBPy2bFi3YMtql03pF9Cv2gYZRf0EB0GYhcSAh/UHFckuIcs0HGI95Jn2jakt+xLXdbzbIS3MDSo2+QNpkPn8QCkX5KhE8VoiylpxHDdxe6TVLsR2bdtSDR4o1FPqiUefZ9ZSCzKMtau3R16lVxXr++zeUB7i9nIps2NmKvaFd36+ccAuVwcsK41IVpvRMqgWUiniuHZDHBB6SBQq7Pd6OdE6Msy1B/EQvf3Gr1BOxEh09BkHj0Wyzqt8fLrWk2vmRqtpdem+3SfTXaHd6qYBJMBuoZZJGDIwYQX/d0eLLqUASKlggl11IltMcp6AiCXABBSyj6Nc1IzWG/Q2vooh6VpD2bInDzhIvyWHwkzTPzhM2FkohcDwOTfkgLB707z6LFXDhoS0f1cJ58hN5tmWzu970I5f6JLPwNuFikxxuhOG9DkDUYkYyIkxTbrpUI2dmp5w2zoV1Oqrb5bn29OCpJOjeHC58l35v2gnmzOztARlQZw1KlPnAaHv8BpfYARFaL9BdB4Zn5Eo1F1b2gsoK+2E3pUdtw5rqZt2rRJbr75ZjnjjDPk1FNPPWTJsQ/bfX19Mjg4KN/73vfk0ksvldmzZ0tVVVXIOZuamuTAgQOyfPlyOeWUU2T79u1y3333yYMPPijLly8/Jvf1cS0+Si8W05y6zYSLV6ALmRRjMfDpPE7CxMcs4r3t+nhzz+ghUhGR+CG9qlZ2WDNdacRedWxe9CT9XaAa/+zQzkfqkN601HTpzAKwFuRX9b8e+XtGvEbe56FKF0uAdkHv8vPF2iOIitD98LNS/RBK/NbFtCK02zqonYV46F/u7tUrX0Gs3picnKIdPFY7MrlneFwhIe7QsovhJ/EtLXqFmOvX48nkRLaCu5cWrxeTpr7woWJHNLxFGEPH5mI2TnLVsUVp+roT4UQTBePGhcaklmmGohUrI5HaQVoC9UuZaEQH/Z+1+viCFKufGV5/tQ4SY3Am+8FxDPZqJ6y2R7dL4WSZSgEtWH19kOaig8bVmnJ3PRire7GpyjTklmqhETteT5EhVIIpbv0+U4LqnSaoq6Dq39lpnpG/meB2cbbecO1o03NDABqj05A41Iprfb5Kd8wJqdYcy+x5Vu1q6dWistxoUreZTjVVCMwQPR1qbkSWAoInX5r0qo2N+nheEjjwLdZ6fmmqjipSC/tv1Xod2teugYZLc63fHgs+45FwXG2zbMw4ri+99JLceOONUlJSIvfff7+IHCwhxvJgH7YTEhLk4Ycflu7ubrnuuutGPe+tt94q6enpcu2114qIyKRJk2R4eFjuuOMOueKKK0b0x8aSDQ/riS4HFYky4/UCT0fX5Fgx/F4OBG59o+7fKYhL5kCbjyFXZnOa8+KsKB2mZlh6C0vCihZTX5CsvQXynGgri74y8jdDhyxHykIKlHrpBTrMZB4fvGaz+lERtE5PSdF9yESvHa3QIMSkVgd0mCi5iXykINt2JoY3NUFru/XnGSpM8YdfZH9bbnXceRCFZ0iO6O0Ul+508tJINahFKUyzXn0JymjuABqYjkpayXAAiPa0YfPBZL9Co1JPOlBqOjbkBa+tB/cP7xjHOZ1wc3MyzqHfXw8oD/u79HdbsLnYhejAfL+eINIwnkynOghqx7/vXqva5xllcUVCOY/UBKa0Gp1yMxmP19UAJ4qZ+0zmol7tIiSCDQzpOdUM9vyzVl/Ybod2mjKAkFd1I6SOa4vHe3F5nn4mnljrPeFWoKo7vCrMgRY9cJ0Req5ZBFLzn2s11eiyDIs6xuve3Kyaik4hEsr19uOZBaBJy0jEOV5rM7q/Ux+b4QVVAH14QjI57daaGRlGTu6Y2ZiogvDZtTHhuD7xxBNy9913y1lnnSX33XffCKqanp5+yPJhiYmJkpSUJH/+85+lvr5+RPrqw7Dn17/+dbngggvkzjvvlI0bN8pNN92kzjFjxgwZGBiQqqqqMem4ponmlVLvrrRVv5RdA3oBMOt298ODI+LaicWnEZDdhiaEtRP1xEeNUjOxgBWjiJBSNoib0D1tTHrR114Ahz7amLyYtEJurgdo30nJ2rNNQrWbToTBJyCL1URwGpE934qks0qU0WR1G1onnm8Ckrfe6LM4sZ+LnKaOHQA1gJqiuc7wjin1EEmRuCjbWvgyE/SimQAENSVOO1l+ILKDQMGqkclPYXbTIeTzPIA+J7rH8HwrEBwmJWaDS2hSCba26Ocz1at/Owhqx3Qsun6UACV3kJsLM2RLlLsTIdUMOMGpSAya7tWbx78d0PMhpbnMTHKGiq9P1/kIL9Toc+chcrS3Q19rNOLY5VC8MKvCkV/LMroHoPs53aPvm/3GEs6fy9QDwnQQOYdSf5bJdH70IcdxJ1DwLc1IqDLGbjqcPQIJM6EK40XpYobYqRSwLFNXHDR55Hsg20VKTCY2cKQppSJSyGBPsI+bJKufKG/1doNufzFPzz2MWiilhjEAdh7vAgSfdTvujuuTTz4pd911lyxbtkxuvfVWVd949uzZI+XAPrR33nlHSkpKJDIyUh5//HEZMEK+dXV1smzZMvnBD34gJ554MDEoEAhIaWmpOkdpaalERESMlBwba9YZoSf8/iFdUWJ+sn7znMh4J5/LNNZFT0QKK5Ma8hx6tiEpvgGrV5qBqjAIzYkt8TChpCTQEhjee6NOL0amSPwwZifqFZLr1QRuX2I0UW29QhQ59URpliNNitaf7cPCRPmyWCSS/bJJ6/SlRozT7X4dDjzPbTmrnA89cMAg9BCyWBD1SAM/c2hYX2tKnNVPKfFcPJDx3oYSryh1GXBoL/vMDF3dbFdQOz41pmOLBbkLCzLR3N3ghVNqjSHUl1ATdl6yNZh/33CPOtY98B+q7cBGI9tJB0BfayTGLrP1TcrEtlZu5vR3m/F85/i1B1/bpV9KOhN0Tk2mCTmKdHKnu/XzqgRqRg3haDyjUzVTSGIirfdqN6geeQ79zrWAA9sbMrfoz9dhk9QGCTsTuebmjxuPhSkaaegdIlhAWTc998zyQfnDuNYBROO2tbHylb426rySEbOho0a1l2XqTv/AGF9TkVy1wB9emSE7kcmWRMnDCNSKTjxjCd4z0qnkAAlCzi3GJjmqYwx4rrYdlR1Xx7WsrEzuueceOf300+Xqq6+WxkZL3zA+Pl6WLVsmS5culfvvv1+WLl0qa9eulRdffFEeffRRERHJzNTZvB/W0w0EAiO1dK+88kq58847paCgQE477TQpLS2Ve++9Vy6//HJxY2IdK9YfoR2AHqweTESo79SP0XQAs5Gx2ovvvteEWtb9ut06pBfsiUm6z+q7tQOw35gUit36uiLhVm0EskAJK4bMY5E5Os7NcL31N+WrdkPEPTVO3+f6Zj3JlnXq+5yYpJ8J+9GUZ2FyFkPHIUkNzdqZ+Kpfh1i3g9BVBGKbKd3EkDcddo6dXa36A3MRYiNq/jrKtpph7PVNmtoxz69T2qd5tGOa5tSQTGmzV7V9cbrPt2KRNlHTCnCUs4CQPltfrtqOYSTERWqkKXQR1hu4fzZYWTHjfDrh8YQUfZ3cJJHGQukujlV+3kRsS7x6HO/DXEAn6+1GPa7zE/XYyk6gY8TNo/U3alGEREy4UW3v5yZIH+8AekieqqlKQdrJiwf0O7YkA+MhUY+lLtBQmuDgJwKSNzP7KxHFaEfS6Lomj2rzPtNAU2DFqXbct7nBb0A0p8ipX1D+1rY2RC0wHhZGaUeVlBhzTq1CIlcSNmRMoHqxGjJ+Kbpd5NT9sK9TX6vbcNhZMGJNjf7tHKfe3W1u0v3ynYnWuY57rdBhsVUFjtKOq+O6evVq6e/vlzVr1siaNWvUsaVLl8q9994rDz30kKxcuVIee+wxycrKkpUrV4ZouIazSy+9VOLi4uTXv/61rFq1SgKBgFx++eXy9a9//ZO+nU/Mkoc015OlULcG9ecZskk1kj8YEmUlnIEhvVpkO/UMMRmVs1jFKQ6lFZ3GzMhqJy3goU2BFIuZ+SkSWmmF9cMZJjPblFbhW8/yo5SVYaixDte2s418PetaJyZBQD5GT6IxESjLGg3uJiYoVvn6e7BctafHWIkLf2vZr45NjNJSS4UYLJkO0A7q9LWemq6PX5Q9egJVZgL46ECamOBGm+jXpLn6Tu1c0qkynZcCPL+9Hfo+A0PaMaWG7DgUnCBlggUMFqdaTvZkF5NStJPUCSfp+QP63KcBWZzj0/1Eh8BEPZkAMwFjj5Ww3EAa/UDJ3aDIiCD50nBeGHbeGtTvdzFwAWptMps+9TBaySbSXOLV9znVDZQyNjwa+FaT3ohwruKm2VR6IIeV1IBZXr3Zj43U9905oN/31TV6rC5J0+/YsKJ+6d/a2qq/W5Skv1uEcV2Fec2JZE3O72a/cbNQByeaDve5mfpakuNI19Dfz0ASW0WXdfwA3r/JHt3OA9d72Xhd5CPOQMVjWo5/nN6mChydHfeSr59F+7RLvk71LlPtz/vyVZvZ2BR+Nv2cAMLSqchopjwSncFm/AclqSi2v7vNeiPre5h8o69lfop24MhDpG1t1QhdUpR2sscbZRmhdiSIDEsQC9XZGfoDuU49Ux7o1PAR0b9Mw6kij5CVcF6tHx05FAmt8U5ZoPXNGhY5O91COg/HG/tlo94g3pSpeYkZIYl/eoZd1zT6RubsDP280xP0Av5Gg0e1F6drNYWEGN1vDejzfR2hcncfGqkARDF5Hx5sJnrwjChAT4TdzKCnNBPpNgyp8x2b69cfSEflLF57dbf1DKp79Ps4xaVfoi1I/Jvm1sdJ56nu0WOT92aODzoqnWgTaSaax5WHxTF+Vve0ai9PWzryNzd3HPcsnLAfvHLSL6ai37gomomCpAJFU+1igFQQPa7jQDuqBF2jGYU3zAIG7zRpZ2+yW99nHYAJll0dnxQ+YZLP8PFqS7j539Iz1LFujGPOY3wGVCXg3MRnakqWESmegQpxPtA1uGHbZ9DnnpZnxZPlOW4lX4ebGuT5k6Z/7O+e+/pmifDbJV9FxgDH1bZQcw7pkGsKnE1mxEZF6EXWXCiZXMPFpBAJTqxI0hAbPvS4E/XIJ3mtDyxAOSou/ly4srzht6F5Tn2xXQD/zIj644071LHL/VrhYLJL//i7zXrBZmJQoUOvAAUO/eNmVZ8aLP6cVOf6dHtLq+7jfe36uB/SEJTHMiunUXqJlIkVOZqGQC7YL/dpp2mGVy+qWYlQBjB4b90oGNAFZInOZQ0cUyIw5DTTYdgUtLwP8rwLgMAEce4GyECVd+rfIlfQH8fj1jgnmmfqT4qEqgrQ4dvfpfstMUpfawWO1xmV8bIT6aDp+2LSGp3gpJjwyGTfkB7Lpng+z03H1AnuLhOgalGlL8ep++WHeZqC4TR453S4mLnP46cH9G6CY40RFSfmzXcNKlEmKt0Vo6IblRveakIUy6XHMUv8euDothvvERHSJvBEqZYxH5zmZkjSvV4PFQoU5jjdZzmr3Bx4wWnm2sFNz1v1+r5ynPpaqsBLOi/LyJfA3MF4Go9TkWKsqU/ZcOHRme24jkFLj9aOCUsIcjdJRMeUqKJuH/mVFcj8rO0OP7k0USgUpuWxwMUFospEodmQXqLjwmtnNq8ZUvthga6E1Q15K2bITkjSFzPVq/mZfUDwutGu6LIWp45+Lv7QL8WiSA7ryz2/V+0vx2oEnhnUZhh7IrJvXXHhFxc3HJnrivSUsBkapay77jYWUhdQzF3tKD+LhS8FqgIsu7uvQ29UiIqel2HxTMuAxpJnzHcoETMfRf7JO1zXoJ/RWZnWCbzYmHQjxL2lleF6fW46AFxkXXDYH2m0ROa/kqGpIJua9IXP9kM7s0U/k8QofeOTXDrSMAGh5wixvs/7XJym+4jvL60ZGqOkQFF9wazcxE0Q3wk6TXRU+czo6FL3d75BUyKav7dTbxbCpxwdvhwpj5uO7BlpzH/QY2tPh36J3g/q58sNHqUWx7n0e7O52fr8NCRnbWzRfXpCsl47qrGZuCKfz0iPVSZ+vmEoB0z36j567ECdal+doys+hqrKGDqu4YelbZ8Bsx3XMWgDWLm4iHJSJtes0EB8GPrhrnleMrJxsSOvRthzuo/hQX3c1EMloZ5tOg9Eog5QgxL8K9IYpvmsE5Z36R977oCGg0o8GtVuBI90a1Af34Ja96em6gXE1D9NRRhyS1D3KUsjFkNeZ06MdlQLge5uaNYdt8B4hkS1mVCRHq8H0/+W6/Zpabrf8pDcx+QuM1O4FQt4LhJ/WDlrT7teNek8+MC3dIG3WN9tLdKl7eErYTGRiJJEr9To+5zh19eaAdWBA4ZEFTVEWdSDMk90HiBYIPuRYEXqSF6EpTLC5LupXoT2IV9WAy3ctXVMHNSO7TrIDs0zqMI5eL7s01Y4VSwgwQz36Yi4jHPqjjER/Qogy9TdBaMpJKIyHmL3RFjfD+rzT0iy+pGlT7kZ9EHvdL5fP4MUJB2+gApy3MiY0YNaRILooHHTQ0Q+Azz0Njj03NBPMRzGNxr0Z5dgo0KHntEeKiCsrdM8tSVpevNZb2ySdwPNX5CkieGUGDwtFRw4w15qPs4E0+Ej5LjaKO2I2Y7rGLT3ZINqTxs4UbWTEXJDsr0KTdKR4e6esjIDiGHkIOnFid+OBm/VnMSZjEGnubqbk67+wGyfnhipvUhsI91A8IiwfL1AL8hDkJVhMg4icnJisr6WUtQ6N50RyvqUePVCxQmcyXUNQKYzwVMuBs3hvRYjYQZd9F6zRtDGJWkE5mwUDeCiTLSQqItZapFhSC5k2Yn6xogs7evU1zbZ16LalLzp7rCeKdUzmITUhedbj8QSFzqO+qfFEMs/0G3dawoUKtiHT1dpB+xLeXqBjoqg0xU+8hAdaY0fhkgp4k9ncgoQ1QVAyXa26g3bhTn63rYbY7cHNAJyFkMKhsA5pMPHZKydQOwrjY1sAu6ThVC4eTgxWb+DTqDYHKunpY5OuN/aqp9fWpzePaSCypUQRT1qfXFnpmmvrLpbo6bmvLkJov8EHkhL4Xz/eoOet9hPw4iSmfKH46BdTWoQ+datGA+kvF2co59vAlDubOPw4UL9KcgrMIs2iGhJMkZ+jovZyVlHZbbjOgbNKTp9vgHh+XggMERsEg3UhXI3zX3kNOnJZgZqfNehvnRtN50RXpv191odzQlRR0DRFslNBG8UExknL/JQa4PWhP/XWp34Mz1J92kPSFDUlOwGp7EMpXCZlFbgsCZOTv5N6HNKtVDWqxdwIXV5WTPcdGQ5v0dF6MWBepcMsSYjhFoIvmY9+nxzq3V+Ik0FSHCrgGNK7m88+LZ0VLc0abmsaX7LsR3EZ6tAHRjEOzPVra8tD+Tg7dhcDAJFzzSQTDo9pMg0ReqxmA8lBy6ytd26n7ihax+wLmY6kq1SEnS7B7Si7kFkgmOzUeDUSJUXqgPD4rG+i40kFUvGg/tZgypPRElNVPNQ15IaZ/WLuXEQEUnG86G2agIcOnKBGe2Z4dHfjzbGZgloRAzXU7/YAc4qncnKLv28J7i1I9tm6LwuCpCmoJ9nOug2A/gtFgFw451l25xzqbtNtQsmZ3Hzx+PUZmU/mpsTovPM82CfNvToG93UYvVx93CkYLgcc7NVBY7ObMd1DFrTUIVqu2OLVZvoQj54SgEDAahAyJxyKnRUORlVQYZkCIhsqKNk/T0NtAKWVU1D2Pq28u2q/d2MqartiyXap09ookuzkVTUP6Q/24BkjLdRN/uibE3uPBOC1/sQ5t7XafXzDTt+qI59M+tm1Z4AagBR7mJI+7DqF8uymlaJRB4m09EJYrUr2msNuh+paJFmoI2JQNSIHK1v1tf2+Uz92w4UfXitVhdaIJq0xyhIwCSzMtAWOO7fbNDPfwqylFntiEim6ayyzn0nVtmsYV1A5Jd79LVt69cw2hKPdtCLwb82FQ3akADnppoCkMUmJKXt6tBO0zin3uhua9Xj3NxskNox16cnJmbXk2aSCXkzU/5IRCQrkWPZ+r2MBD1WiN5T/WKSi1EL7RTHQbKqFUUBXq6z4Mapbt1HdOhYvKQcXG3yr0NURTr0O1fssRxlRpIKHJy/9cneA0LLEuAZiOZQ5s90dCnzR/UDbkSqUI2O6H4/OK1MWNrRZp1vIqJMlJhrJnefsm+GwkFU72Hg22NgdnLW0ZntuI5Ba2x/X7WTAmeodg7Cosy2rjLQiM062ipFCPfQmciB4hCr+lBMv7Wfu2arzaQxOmB0sm7LnoLf0jMfM39ZfzzPEBnf0kp0T18MuWEXZWvYugao1xc2P6HadxVcpdpvGxmzv56mKyf1ACrOTmAYi31I+oVuEx1615AszHHqcznAMzMXAxGRhl59n8xKJs2ByEaZIRqeiwU8A+jf5Xn6OCfvRjhVHFuszGTqSHqwUNHRfBXo/4mpdEwxPqhwABRtnLFpOg9SareXakTuuwU+1U6K1p9f15yt2sVIiKpBCDZO6dfqd4Rh0EooN7BCFL9P2wvOY5zhQOxDJCAlTvfRSzX6PlgqlTJvixGe9yJ5z3SE34EOKzfBp6To9znPpVHMlh491jY0u1V7iltnrZo6v1SoIJ1mUar+rUL8dhpUCVi4g2i/N9Z6hml4p+qxOdzepu+rB0mp0eBrseTrKSlI/jLmnuer9XWnoKoeeeVewJoftOr7YuSI76DHiNDlO/Tz7IDjmoLvrm/R/bLAb30/uu84e43DInKYxMVRv2ebiNiO65i06e7LVZshcnLDGJo2EzJiUE6UwvqZkDfyIFREDiudLPJWzcmIiSOoHhuS2MWkMyYxMSDLCkMpBpyQBUSG11ng0PfJ4geTPNr5eGnOpao9NKwXtnmGb0IO27pmfeOxkfp4JZLQprhRjQzHuUh/IcdyPljsoB7SXK19ejUpBorCbGuiZltRicdEcOjUEgWNB9fPhTB054A+94nJuo/pyNQb+pfvBbWDxnE8DWU0WQqVmyhuDjl+trZZz5RJR5ek6wznv1fra/lcVng0Nw39kolqaLsNlLShVz/fii491trwTtGxredmEP3CSmxPlFvj5Vvj9bmHh7lp0nNPAOM2NNFPn68BIfR9nda9TXLpsfSPGmbm63FOFLQK/UQ34k+Veoc/z299n+huPwpt8Nyl4Opua9X3uTgQXv841nDKBtFnLEU9FXNHG2hKrMJIigWrlZlccKK1fJ7cJFPmrQlIZ0oc+3F0fm1Vt75QrgXREfr5EomuM+ZBzlO2ffbMdlzHoE2M0ZWzmOTADFhONk1GCGcNZAHOzdKTKhdNIpGI1oWEg4gOmQR7IocvoGJQbpI+eWNv+IWP0w3lV8x+2NuhvzvDoxcHFPwKKQrQ1KfDtRMhUL6tTS+q453W8UgsbOyjTS36vqs7gaDHaGeCyOMuoKauWOuZUmGCmweGxFn9hs4DZb88QD1NrhkT2uiIkrMai0hBnlvTM57apzOHLyvQjqypMuCPpS4rq3bpayPdZjySr7g53INNUq4R/c1O1Cfbg1DwojTdZ+RuZ4NfvRvhexa0MNHlEGkmIKSsMPWnCjhN6fq+Srx6nJO+McVlnl/fBx2CYrfuh22QVjsphSh5+MSiFIMCxQS4z2Xpz/YiZL45qENJpBrEgCpQAikuc27pBErJoi60bGTys5qVExxYor9FhroCQQryQt8P6vc5X4O5EonvbwBF6pQ0PT7MfvIDSCDQQFCE/Pk8UNpYFGKBX/dTvgEudOE+q8BxrsMGrgqiAqcFrHMfTq7s07ZhOTKO67CEroH/qmY7rmPQXut7S7VPE60qwB0/5XZMZ3RZvn7Bt4PDBBUoacaueDy4RQz/74aD2GSENfndf8vTE5MjWjvVLIVIagBVCOjAm0fpqDL8xoQ2UiIqwe31xzLEqs9vOmVMgGtEactCp+6XCS4glSiNWoP7HofPZxjIhz+OGc2srKP7oQwOXqFDf59KAQxbm+E/FqM4MaC/OzFJdzoTqrYG9YJNROfP5dqRHYda56YxQ70AzkI1UOx/ABWdk6Kf4TQ4/GartF33KfWKm7A5eAui8SekoEiI/nrIM0wzEDkWeajt1Z4KE6iuHa8H9t9r9OfHIRmPyVzm3LMXmqGdcKIrO/U4b4J83WY4WRkJpBKopkr8pNRaA5JIn96vj0/06N/iZjIJzuPTVRpxXWTQGAJAROlgJ0LGrRfUgmpUyqLjOj9Z87u2B61rIVe7Fu8jk8qIYhLlnu7Xz+xtyJ8lx1vXzuImE4F6FzkRrcF42NSiN5cu8OUpQWaONc4tBa7wLlzfkB48Jq+YfXg8jNEJ2z6e2Y7rGLRpMke1d7XrCaAGu8klGqBVRh7odA95o3oITHXryacFBPx2oH97UEt1gsdyVoLwK2rAr0tF5j4rzuxGJv/CZO0RcAIydQNJachH6MgTS2RRX+s8n0b3GGps79fOylaDU0s5o8lAa7nxCIJawCpATKBrAdJh3is5bkTUiTxSDocIayY4dZ4YfW1m9aqlOQwVMnyrjxOZJooyAVnpsZG6z82yrAz9FwFB5VjitcRBU+75as1LXJisHZmKDuv8meCFm2FlkVApLodXX9veDn3fU916U8RqV681WNEAIupzfNoxJV2jFtnWDLkTwYvDb5sILyWpWIAiyqvPFSm6vR+bQ743fIfNzSL1R9OQZX5xrh4rOzTzR0rbdT84ovV7c066nmS3t1nO5gbwJ+f7tSPLBMg97XqAkLNOdRSWbTV557mJemxsRvQmIx6UGMyp8UBBSUMbD4dwvEElooO+r1Nf9yCSrRqxgRsCSr63LTz/drGxTy3xcpyGhyyJ3pvvwTPB45/Sb6sKHJ3ZjusYtH6IvOWAhzrXp194CrWbjhC1Tzn5MPQfF8nykihggGs9IaCHkJmAxbmFiMwWkPWLIYdzRppePKrBc2JyiImysk8YGibSyGBfK5zJDS3IrgaH0iwZejo4a8z8ZkWZ/diIsMrT/dVvqPa1qaeotilYHkDyHNFecjXJM/aBI5fq0N7FABwbt9HPDN9OwLmqkSjUhMQSk24hIhJI1L89MdCo2kEjpF7TqZ0DVhCibFsgnglQ+pnMZNnlkLK91jvIcDqdvQE4YHQm6UTTYdO9JpJuXDsdj1okHZFGRCtOgmQZ+Jnjk/Tg9Kt+01f2m336nflSPgTq4bD1D7N0qnYAwxWcaMa4/tk+vdH8dqFG73MSKVFHKSdUs2vT91biszYylLciekYJMm480kEdiAVNYQ4KFvQZ79xuqJmQ+sOyuuPjSHHSz5dlezkWzQ0CJal2tyHp1KH7IR0DNxV6xzE+/X0qIpjoMAsv0IEn15fz9zNV1lzRFR8pUDM85mY7rkdntuM6Bq0+Qi/QZR05qs2EK6oKmJMPJyJy4jhxMcTK6lb1CPflg6dabqwfReBXZaGKD2cPIlPvNjPhBpypxNE5dlzAY+EszASVgKFCB9CjFCTM7IcTVmhk8++DFFM+aAVMDPND/J7csZuS6Kjq+zY5kAeglTkFaC8d9D0d1LNERSFQBTr6ibJY900eGqWXWOK1F5/PStLORywWo0pw/8wyvMnx4H7A3kPpy0ZEGqhwwGx7U+5MRKP9GxACpTPZjYSYRai6xoQ4OjJx6AfzHaYjwudbDHkr0liI/pFPuxkV5Ex9VGaJfykfKgCYa6hn/LsD9aqdlaB55dx8mO8FudwXZWid5sgIclj158vadZ+e4NfPxM/EQcOBi46A3ijmigTMU/nQo40C6lkOZ5TJnabD78Bc/+oB/dlxLm6KdZsloZlYuBPRvTTjEaSi0MIcv+4H0gxe6V2n2ifHzFXtPFQva4NnXGB0SyY4yW836fe5CrSUmVrIQxamWN/f0HX8VQWOiCpgqwqMmO24jkHb3PKYak+IvkW1d7Xpl/jSXD15mXqHzCpmqPjVWj0RFqGQ+nhwwa7IJ4dKf7/BcBj3tjNbmsiTPn4A5UmdWABYWvP1er0oX5xj/TYTA3qR+VsLJ7kSSBMrJc0C72y6Xwsk9hoOXyfCmHTQGGpkeUpOaS0Ig/cPQzfUuBeGW/lboUlJQGzg4FPIm1noZsGCNbXagbsiT2fj/LFSO55fKdQbtL2tOhxf5Nbx3bwU/QyqGq3zPV6mVyqG6wvhiLJyEsO7pKHksXyt8YyZsEaO6yyEOenQUbqHiPsEvIPmYZbVTIZzwQphTL6MitDO56wUPa7TwOdsNjYjJ6fo33qhWjsT+eBys5LehQGtvvAKJMuoKjLZZQ1eopjtQDnrwXkt69Dn+lxWeB3YaigamBtXarxWAO1ntIc8UzrF2Q7t2NZBis8cq9FAhs/OUM2QjUkMslA7+sNH3Ca7Rq9AV4qkw9JW3Wc+UL8uTZiv2lUd3JDp70/Dhn5Ph3Xtb9Xrc8/SEs9yYbbuU1KeHttn/d3pFUGemG2fMbMd1zFoifEaYZ2TrCfhXIQ9AYKK20AAyJekTNRXC3V7fYv+fBl27Kur9W819ekF/dJc62IoAk2Uqxvorh9hbgrOZ0FdISUOPDUDmUrCb5eHQcxEQnUfMxAi7wDyWNqm0SGzCgydx4kosznJpRe2d5qAYsJx8UI2pgAJVCY3dBChfyfecCY8PV+l++nSPH0teah+RQfPPFsBVoN1TdoRPRkakfVIUklCyD0xHs4iwrcm+ksniajnILYDTDqjc8FIHkunmlEOBuM94A1zgaaqwDnpQQln1XBkEo3vM9mOfZgGlJuJgCxfur9NI6xN6KdWYyM806t5wJ/LRJU1IO7rm/VgHIdnxoqAuxCKrjboHJzzGBliGdY94F+yShspVEyIqzSqvv2zDmFrjPt5KFVdhopxHHukhjCC5jIQ+HXN+nmRw86CAyzTmoo5liAey7buNEqC52DdWZLGKouY3zEX+X363EwMpipBpzHNFaIutgOJuYw08Xmeb0jQPRK+5soxseEj0XG1bcRsx3UM2vS481R7YyNkY8ArZYa703BcOcET7WntZ4UZhMyxyCbH6c+/D43Sf9ZaE8QUL5KOwOXMQlJLNF5mOtlERf5Sqa/tqkLr916s0dc53x9el7McJSCZOER0uAjcP3OipG7jGw16ZSsCl9cBHaktzajME00lAN2vbxnFD87IwCsND45UkK+O0wtAcpweSztROYmLbMBIiskEFYRh6J3tuo9PStGIagP5mXDK+Pz3GBzXTbqqqixI0b/N+ybHkUat3Ezwb1sMZKsCCgUsq1vRxfdAt7MgcFzs1M+AKPg/663xNdOr+5x91ADnkXScSaggRZWCQoxzE/Hb0aqdXEZM/lRXq9qnebUqBCMof6/TiPokh0e1n64Ojvx9SZbeOJLqwbE3xQ2lDnAm6cAxianC0CS9KFtv5tJBBahGpSyiw0wcGgee8Z8qPao9zUiY5aaVGy4nkieZ6BdSzAQ5EEWglpgRlm9u/6k6dnX6t1WbNIRCqAxsg7KLB043KyvOT7beowSsQyz5y/d5ro8bbuvv416AQMZG5azu7m65//77ZfXq1dLe3i5TpkyR733vezJjxoyRz1RVVcldd90l69evl8TERLn44ovluuuuk6ioqFHP+/bbb8vKlStl7969kp6eLtddd52ce+65I8d7e3vl3nvvlRdffFF6enpk0aJFcuutt4rP5xv1nDTbcR2DFif6BZ+XogdJGpAoJoM0Gpp2jZgMkuO4u0fIDRMZy/pxQs9z6gkjyxAsj4jQkw3D7w3YoXdiUSVnkmiS6aiKiGw3xPHpaNJRJec1LZ7Vx8JXsyaiN9motENnYG2DXuCJ3s3zabQ3QrQjsw98vHINdMkUr/W8I4AVrgPvbBEUKMh5pkB9HirW/LRUj82l2dYz8oGrmZWov1sIzvMAFlGGTPdAHuv1Rv3bF2ZZju+8FL2gd4OuwczuHa3QpOyDtma0HntEdP6n3IK2pjt03DIR32UxhBzH6FqZIiJlKNPsxAJ/gqGuwZLObf167HDc012vw2bhzUb9TqUnIMnNuFa+Yyzhet9EDfdFRejnS+TRGa2dUTrhIp6Rv7a2hOc0poCry43oLvBnOa9tg2zgfENjlDxwP2gKLNrRhDmUkaggioJcVaQ5E6bU3o4WjzpG3dY5vvCRJlJFqBGeGM3j1n1fk6EdVeqyMpE3G0nFC5O1M7mxRSPRGch5uLV848jfl3g0P7a+G2g9PBlG40wpxV45vslZw3JkHNdP2te97bbbZOvWrbJq1SoJBALym9/8Rq688kp58cUXJRAISH9/v1x11VWSl5cnTz31lOzfv19uvfVWiYyMlOXLlx/ynHv37pWrr75arrzySlm5cqW8+uqrctNNN4nP55MFCxaIiMgdd9whGzZskAcffFBiY2Pl9ttvl+XLl8sTTzxxyHMeymzHdQxaXAT0THug24n60szmNp0R1nimjp/AWYzGBM/XqxEalKvrgqp9bppn5O+cRL0gV2OXzJC6Cwv87nb9+ShUnEpDlurpAcuRqQRHjY4quWCUmMqGM8HQE2WiTN7b+8Hw5SiJ9vCZsLRpvIcJE0zWsc6/B1y+Rek4V4g8ku6H5j7tXdJ5OC1Nn3+bUQzhpGT2GWTcgGqno/RtByTGWAXsG+M1ItdhbNBWV+vknAHE+qnLWwAnmvQbZq2/3aidj69kW87qThSEyMDzacXYakcIlZvDaW7t4DG7/oDBqZzs0psDT6zu06ZePRbfbdbvxTyfHsffGB9U7UQ4gPVt1m+/16IdU2Z6P1OlIw8np1IjWI+93diQ5SBLfYGhd3v//r363NEFYc/9HmSjZvv0QyAqmoWKYW8bJWarOlm5Tm+K+M4QQacOLHnk3LBlGrQlzmOT3XqsMSLCUtcslkEwgEmtd+2rGfn7i6l56hirrHE+3wmElVQwXttObBZMZ7UAtJISSMqxz5kIaNLMonuOP9x5vKkCg4ODEhsbK3fccYfMnXuwn7/73e/Kk08+KZs2bZKzzz5bVq9eLdXV1fKHP/xB3G63jB8/XpqamuRHP/qRXHPNNRIbGxty3scee0yKi4vl+uuvFxGRwsJC2b59uzz66KOyYMECqaurk2eeeUYefvhhmT17toiIrFq1Ss466yx57733ZObMmR/p+m3HdQxazzAqrSTpycSPhWx9i544Ta3VlMPwRplVurGF6K6+Npb1+3yGR0azWiCqGZAgCq34hQxnOHxEKomqmDJDRIO4kJFPFVo2Fxqi6Lc2oEUmBWNLi55UmUDhQz8EcW2v1sFJdhAlp86j9Xvjk/SxdY36u4NI7Mp16uPbce3nZKpmyOaid8i6dupRPlWh22dl6GfSij5cjeSuhUj+GRrW3maqgejO92tFgps/0N/9HMYpJch+WbtPtRcmjFfttn7dL68ZoNhscNBfrNZ9moOoxGRXeErFjjYHjuu2WbmJuq3NoAZwQZ/i0nMHi360QKJsfYOGMie7Le8yC7JOFdiYXJQNmgHeSW6ayFOtg1DEpibr+19LL1LHHNH6Wog0Lw6E34jSIaRrY75yl+ZCFSJO/3Z1F9UQgNAiOavYpzdk9Uj2MukbGYhivB/0qDaVVnhfVMdIig4f9TrZmTfy9zbon6aj4htR0He6K1T7hMRc1S4BSs7CLBsM+g/pVAJNYK5r5Chz7TiuNnyEVIFP8BaioqLkhz/84Ui7o6NDfv7zn4vD4RihCmzYsEEmT54sbre1kZo/f750dHTIjh07ZPr06SHn3bBhgyxZskT93/z58+Xuu++W4eFh2bhx48j/fWj5+fkSCARk/fr1tuP6WbYOhNTWVOuYzNIcPfnM8erPNxnoX2l7eJSTAtWsIMW3hdWrWsEXSk2wvk+kkc4kQ2Z8L/+3QjuPjRE68+CrGdqrchl8rBrw7aZ79LnigN6+CUSNQu1FSRoO8uPeugx5rBLIxDQjk5/oXXmHvrbCJP3brOnNftwctO6Fagpz/ER79fMrxWJ0egYKNyA56z1skiYmWYswF8VlkEfiIroHpU0ngyOXDR1Xbh5eNFBWcvOuG6f7kAL0sxBSHe/SjipfgyhwKMw67Kx0dn6WblfhnWGylg8bUVoDlBzM94qFMUj1IEeZxrEUi/ei0KkdpSojoe55SDExXL8TXG8aJcfio2JG+eRBm24wCYYhhEn+JGcxymFNcWnnkVX6yEM9K91SyOCmdXMLNH+xoeaGfGtQP5O2RiLX+vumxvBsn56HprrDjx0a8waYfEuVgRTjNZrrxzwEyTFSImb7taPKPn0/qD+/PajH2ukGd4DXzcgRi5dwHmww1jluWv7V7eGHH5af/OQnEhERIXfffbekpx/kk9XW1kpamualp6YeVAKpqak5pOM62ne6u7ulpaVF6urqxOv1ShxyZVJTU6W2VnPiw5ntuI5B29b9d9X+YsZVqh0fqScrcq7MF/MAQqSJqBC0A5ImQ9gKTvbol7wDYU5mhvYa/gBDSf1D+jqJ3v6+Qk9c56EkUXOfbh/ADj/J2JWbFV9EDqFni1DNTNQmZ9IDQ64UlTf7fBycqDogkQyB5iA5pwBJDQzntQLByTbE1auQKLS5RbdnI0ktM0FfSwCLbgqcxzlYMEwt1XNz9MaCJV13gp9HVMwNaoAbyBT5mUsCFlLlBOrVB360K1o7C6XgONZ264txQ4rNi6hYjoFscQNGBJVFHjYHobWLQg1clClYb9IB9kADtKIrvCMyFb9V5NJI9e42fT5uJgOGSsFlufrGeN+UJKIxCpICJQAPtJVNybrdKCDCcqN833McqLqHa80/jI7zBwYtYqpX74JqkERIfVuWl84HAl+MuSoFCZLmfEBEnb9Vi9+i1B5YDSG0oxgUoMk2Ei6TMTeUdep3iJQZypn54zgW9Tif7+c6hhfHsAg8X5YA5vPf2mpd60BohPsYW8QRlnyNkJqaGlm8ePGon3j55Zc/9lnPPvtsOfnkk+WFF16Q2267TXw+n5x22mnS09MjLpfeVH3ocPb2HlqaoaenJ4RC8GG7r69Puru7D0kxiIuLG/WchzLbcR2D1tevQ0fcPdI6kQxghuDTwULnuYiShARkgCbthkB194A+X5fR3teuv0tZrwQ4yd8u1sOxvR/C3shkdCKxzKyGlQ2RcFIBaKRMrKnR93lGOjLBE4HgGmhCLxbs8agItKFFI1Hk6lKDkrJhrE+e77D6aRyy35lUtLVVfzcW3qMZhhYRcUTrlc6DRXVgyDr/27Val7MG1zkXZXSnpmopgBYgsK/X6qSn/XDKTSes8TA8USJqm5r02Dkvk8lZVAbQDoM5WigDxE3NZITn6bBRso56p6x+V2VcCxPiWKSDXG2qimxFgYEs8I5ZFKLR4I5vbtXjuAt+BssJhyZbaSMSRhTN5NcXQLmBThVLusZH6fegGxubTaBIUQfYdJTKO/Q7MdOn9YqTY6Hrmqb7lP3whqFHLCLycq2+1s9nWfNHuA2ziEgauLmpiNZ0Yi7Z20GFGmitGvMiEzm5wSoCTWl3O4EF1ZRqnI9Jbb1GBuw0cHmboaXLPuU6Z66DWDaOiw0dY47rww8/LI888shI+/zzz5c777xTRERycw8i45MmTZIdO3bIr3/9aznttNMkPj5e+iB3+aFzmZh46GhKXFxcyHc+bCckJBzynB+eNyHho6fM2Y7rGLRTk65RbfJhuPiEVqix2kz0YWiQqgIk99OmevT3QxPHrPNxARZBNi2Qw92o4jTNrR2++lb9+V2oP29Kf6XE6T4hKkZO1G5M4Ken688zeYMyQyZayPAtyxHO9moUc1ubfmF9uNZQZFI/gx1tRvGDgfCvNMsHkws2EYoISRBTp5pCjaG+wKo+451MIoMDFtS7+eZevRhNh07oGeBMmslZA3gH9kGSiAv8ojTSVvQze7FGP5OCJL43VptIIR1TOknp8bpPM7Ho7oeT3IeFdmFKcORvRgJYMISJXZWo+BaAziutAw6COe6nIDGMkZ9XoXeaibKr1GlNQPiGWeumBmlpOx1P3Q8tvbrTyJ8cBNXg8jw91iKBNUcb70kr3v1mJDSxGELPkB5LjKBwDv5KoUZ0zRKyWzGuuVFhRIxV9pyY3+NRoICRqP3G5oGFUNJBl6K2anYi16nR1woRkXFAzc3S2JwDWR6Y7wwpEOa1RvYef77rkcphpaenHxGqetlll8nZZ5890o6JiZEXX3xR5s+fLx6PZ+T/x48fL6+88oqIiKSlpcmuXbvUeerrD1a7CwQCo17fh58xv5OYmChJSUmSlpYmwWBQ+vr6FPJaX18/6jkPZbbjOgYtETwz8kppzM4c57QWxn3QjKxF1vkECFT7geDQuWxF6BH+oarMxQWcpUxZYWiGR//21lY94VNWqAhZyo3G7wWBUrHW9QYN9sls8LeI4GVD6ofC7hWGyHh9r75uZvL2YgInikLeMWt8E02oNzYPXOwTwKckspyJMHQ8nM+EGDqu+lpfb7D69Uv5QXxXP09KVJEK4IjWv/WH/ToccEWBvlbzfGsbNGqVC0WLBqhhUOeR9IsANv+USzJVB8jVy3foz77bpH97Aar+8Jlwk5QPLmic0a+eYd2HT5R7VHtxQF8becgZyHCnra3X55vpsfqNCBml9C7N1Wgtx7knVjvRG5t0P5BXvKfdajfDMU0B5aUXVTx4bRPd2lHtHNDzw/PVGokuMDZhFP0vbddjh+DAkkAbjutrI1r492qPap+dERz5+4RUTcdpw2avHBsTk/8uErqxYYidG7zf7rPG7kLoh4fkS8G8AE2SEb3j3EP7e7U1HyzN1huTRkRQWKqY0TiT+hX58WjBn4odGVXgyM3j8SgHtb29Xb773e/K97//fbnssstG/n/Lli0ybtw4ERGZM2eOPPPMM9LR0SFO58GF5Z133hGHwyETJkw45O/Mnj1b3n33XfV/77zzjpSUlEhkZKTMmjVLhoaGZOPGjSPyWGVlZVJXVydz5sz5yPczphzXRx55RN544w15/PHHR/5vx44dcvfdd8vWrVvF5/PJV77yFfnSl740cjwYDMqqVavk1VdflY6ODikuLpYbbrhhRGrBtOHhYfna174mfX196jfGmvUOa+chD6XwmM0bKgVivdQM35Hj1IQFvRqhZTqm7zbqCSLLoSeQIYOJyMxt/rYHVJdqZBmvATnMLOkqEoo0m60GIMEFTt2HC1P0b7MPo7FolkMvkwiAmZhAlIOVsVgxCGwL2QuN0U6H7pf3m/T5fcac3gxR9yKUdOUmaDdCqhNc+j6JVFN67csFwZG/e+DI0MkNAr1jKdw9HXrR/bc8vbvow/lLDT4mk7O4AFO4fQvC3BlAQcm/5iJtJvuw0lk76BYMmb9Uo49/DslcASC4dIQqjOpWZZ36nViUqvuBCySjGOXIYCdHdopLb9DaDQe/MYSjqvuQVbmI7k91a8d2AkLNLMO81eBrF6IC2C8b9GJ5R46e/4cxbp89oDdFQSSZzoFcVoFRZIDjdmgYusvg31JDmM9zJxJoOfZMlJwOOCtd3V+t8yPOSjhTtZOgMcz3uxLFMi7NM3V7EQIGT5jlaElhY1LqBuhVz/Lp73+n2Pq93iE9ttY16XHPNZKJYOVGMmX/YWhjn7aNBR3XpKQkueSSS+S//uu/JC0tTXJycuSpp56SzZs3y1NPPSUiIkuWLJEHHnhAvvOd78iNN94oVVVVsmrVKvnqV786gpZ2dnZKV1eXpKQcXFCXLVsmS5culfvvv1+WLl0qa9eulRdffFEeffRRETmI1J577rly2223yT333CMJCQly++23y9y5c1Xhg8PZmHFcf/e738kDDzygHM6Wlha58sorZdGiRbJixQp5//33ZcWKFeJwOOSiiy4SkYPaYw0NDbJq1Srx+/3y+OOPy1VXXSVPP/20FBRobb/HHntM3njjjRHdsrFqCdBxJTr4v516AinxaHSgvMN6yXOcerJoBMrJ6lWsMJQNeZXPZQFlgdf1ep31+ZPT9GeJVDxbqReH6T49GU3xaNirFdn5dDZyDb3D9ARWm9Ln3tCMCkKgQHhjiA7ojvMgBGsmVJRioTo9oJ0Fonu/rNSc5u8W6EW1HRI16Ym6X00fu60//PQ2y6vvYw/oGTmJ4fl45O+ayVlNCKG2YJElskhZoPGo0vRWgxakJ6riMaIDDMfnoGTvfiBRydhccKEjOritE2FSY2hmgO7FyMAw9GxPRrGEZ6tQcCSkxLPupxQD7e+F85CJ+6Y9W6X7NAfvNze65IqmGk41Iyh9Q/o+iFJ74STxPeE4Z1LbFOPS90Al4sEineHMxB4memUAoSWlgnbAGD+pmAuKkeDG6oLkR6fhWrIQzUlluVoDJb/3wD/Use+mnaHaN2acrdqcc6kh/FyVdlQnIRnXVGsodOgvs2w2EXLyr8/N0G1SKljq1pyzPRg7RShms7dDn2t3qz6+2NCzjhoDVIGxYLfccou43W5ZsWKFNDY2yuTJk+U3v/mNTJkyRUQO8lUfffRRWbFihVxyySXidrvl8ssvl29+85sj5/jVr34lP/vZz6S0tFRERIqKiuShhx6SlStXymOPPSZZWVmycuXKEXRVROSuu+6Se+65R771rW+JiMjJJ58st91228e69ojh4eNbfKyurk5uv/12WbdunaSlpUlycvIIGvrII4/IE088If/85z8l+v/05latWiWrV6+W1atXS0VFhZxxxhny5JNPyqxZs0TkIKp6xhlnyHnnnSff/va3R36ntLRUrrjiCikoKJDY2NijQlwXL14s+/aVSXl55VHc+eh2qvs7qj3ZhcpLQEGZIDXFM/q5mXwTi6xT6t2x8lI0oEaG6BqMTP84nDsb2fRtcEQnuciZIiFfO3z1QBdN2ag0OLXZWNC3IymFlg8ZIIaxmd1L9ME0VgALLQGqP384RygPJX7NCjREFul40kFjRSFWDPMg3O8D59VnOJ/k+l25Y6dqn+2YpdrfKEJhdVhnv+6nvqHRKxRxESQa//sK3WdnZpB3yNrn+nwMew4aTRTdkjfq9W/9+3jQMzAWmeG+F0oBTM4zE6i4CSJXl7zT7ZCNmgfKBMPY7HMzRMuxQZ1WVkYiKp4MJQgWDaGZ9Awi6nTIWBGK/MrDFW6gWoOZ3JkJegX7jAUFkuCo+uH4tuDzXtCQDhjJYAyRMymNc80zlfrz8xFp8mEDR2qBudZ0Yp3535bXVftbgZNUGwI28kadft7fGMfEMX3tTFI1jZtg4pfUmzbtxx1/E0em94i4okdrixcvloG6Rvlt/oLDfxj2pbK3JTqQfFyue6zZcUdct23bJjExMfLcc8/Jf//3f8uBAwdGjm3YsEHmzp074rSKHBSufeSRR6SxsVG8Xq/8/Oc/l6lTp44cj4iIkIiICGlrs7bkvb29cuONN8ry5ctl27Zt6jfGotVHaj2zk+M0EbW+J7wzudNAIxh+4S6ZPNOtLXpymejRzgiTHBg6ruk0sm+7tUeW7dDO4tYW/eNFSXpRpTNCJ4uas2Y5wxRIr1RjUWQ/vFSjz/2dCciuxSKdBQfO5FvuRwIF+4hJLb4Y3cc7odywv5OJZvq1ne62+pGan+ubwdUlXSPMBH/wt5Bohs2EiURRSP0fc7NUu7FLw2RBOP+s+c5wWhNQc9MpTwN6W4Ew8zQvnj9um9xubnxYOtOUGWKlLGem/uxrDUBFO7np0fdJR5jyaGbyH9UyuPHguWdCz5gbLrapSvG6kXcxxav7mHrS5BGTs85QMqtbLUyhzqt1L0TzqLzwVoO+7+kaaFaUBxGRAMoNzw40qnbQGE//rNcn4ztESTlqQrOiHBOL0tEvO9qtfnurnhEw/XxYpW2KF5JUmLeo831mmub+mpsqVtWa5j5BfxYJb+koTZ4Wp3+rd0jfC4u+NPZakxU3HkSSibjevfdu1f7V9FtH/j7uogLDR1g5ywaKR+y4O66LFi2SRYsWHfJYbW2tjB+vhcFNAdypU6fKKaecoo5/iMTecsstI/+3cuVKSU1NlSuuuEJuvvnmT/gOPnlrlwbVTozSVWJOStEvPDVHzWgxX3giS9konTffrz8/hCpeTHLa1a4/PyfFajsgtM1FNCORmfnhy/gxS3kmnPJ4w4GvA1+WCU0DcIrOy6Tsl7729RV6YjwzTU+yf6+xFqdTkDSWGEXkmLxgbXN9SMY5jByaiS6yD+dA7oz8OiKoLBJAhQQvFpcsryHMDmexrFVvuLa2obJSnt6gdSDRZC0chBQkqQWMhbG6O/xYynUgexrvxYEQAXPVDBHLN9U3SFMgzSQemz3yZWNjRr8vEZFMOPSmRm0dnCIi6pmQwyKymAoVCVpSi056y0wYfcmgY8N5aRI2bHSSz89ECWA4cCbKyg0V7bzM8O8Mq7x1NOqxxgS5d5utsdkGVgHD63uwMZmIDPiNkMMzi3iIiLjwTo4zxm4gW/cJ32eqwjDE3tAbfsnfB575RoNSNRca0ES9twZB9XDqfihC6Vuqrbxar+fcPYbqxBdy9Hfj8Hy4mf/r3JtUu7LLutbjG2MeO9fwWbbj7riGs0OJ2YYTwN20aZPcfPPNcsYZZ8ipp54qIiKvvfaa/PWvf5XnnntOIlhWZoxaQ9cO1e4d0jtb6mM+Vluu2ic68kb+buzWE/ySDHJUkXWMnetEF0XGUZAAnMoyQ7VgKlAOFjsgdYAL3SsNenguSIZYNhzbesNZLXTqyZ/oDh1uX6z+LSaWsfyoAw7dmYZWIykNlL95uVZfC7V0o5G0Rgf+gzbtrJhFH5Kh29gIOkVxku4XOnyt4BmeFtDh/FdrdKzx5DQLmaqCs/9KvT73koB2eoMoLxrs059H4njIory61kKiTk2hQgHLxepzcTyQr3kYqrBkGaU36TzetLtctb+cWqzaHaDrTPdQek23mTluyoptamFyluZbEiF/FSoBZxJBh0ZpGgpQmNGDf9brCAod8sluFJDA8Vfqdb8xaZHJXiYqzrmCRR08oHYQxf5Hre6n8zL12A1gk2SOn/FQYslKAH0GfFlWfMtFbVvOwQ60zQ0faSOTXOTL6j4nVaQdhTZ+31Cu2ud581W70JCBI3WL71CxC32O93c7+NKUS6QcVr6xPtBJfrNRo/ezvYy4HPcqA2GNiau2fTwb047rxxHAfemll+TGG2+UkpISuf/++0VEpLm5WW655Ra54447PpZG2PG2+GiNcpRByHkcMmonRumQrMsAE6Z5UH4UWnwxWE2yE0eXr3yL7QAAvNlJREFUERERyQPyxMpL5ufrsbvnjp1kfPLvSHNgNnY+FK1TDa0+IgvU/RNktFK/sAAapCng4/1ijx5/Xy20nDLSEN5u0pPsWRnhUc7NQe2MsORrmY7mSa6x5lJXl1WZuuCY8reLwUOkHNbnxmted5ORnU9n8SSEeutBY9iBhSwFCxkrCr2Pfjk5xepzyjxFRYRXgXBh7A0h5H4AG5cA5DVMhYRKLJJfT9eO6vYguJ/dVaqd58hQbWoQ08oM6bWPW/KT5USpSbq5VT8TcoVfa7DudZoHklRwNImoUkpvllePl3EodsANW4WhgEBuL8tLM8KSgxKvc3z62toHwvfj0ixrQCRgnLNKW1u/Hg9e0FiywGGn2kYqONALjXf0jUa9WWiGbJ8L1xbAbxOpLnLqsSeiP59uRFhIcdgS1JscKpZw70feMekeVEzYY4AoeSEVv/TZqQE+B6VxTYtrPL5w5/ARVs46XBGdfyUb045rWlraIcVsRbQA7hNPPCF33323nHXWWXLfffeNoLRr166VhoYGueWWW0aoA319fTI0NCQzZ86U559/XjIy+OIef+vsrVPt92K1s5A2kKPa52chQcqYgykKzcmnFrXr+Wr0RNLRHb1Kl4hI0Fic9kBgfJpXf5aIKWWDuMu+IBslQWP0JGuWmOSiyTDmO9DWPDU1fJnVHSgSkA/pHjPbPs+pF+BshKnrgTQyJDrTo+/rkd26Hxalk29p9SP1Zp+r0uee5AlfbrIH/fbgDr3hOztdo6ZmopEDTm5yot4sbG3WEHwDki/oqDATfB42Mm8YqEuRk9QAfZ3UHK1BqJhjsRV+DBPqNhvc4bMzEI4F4j7Hr891XryuMDYI+TsaUdM2Ax1uA1KchT5n4hB5hB44Nhfmao+9Bgjs5zNNeSQUL4GTS0dkGEV7mdz1+/0e1fYDNDsl1eJIcx5LRGUsbqJYmCMRffr8Af18P5elB8AbjRbM6gC/MhAffu4gYk5jadz9bdo5rTJ4xiafXSQ08Sv03Pq+a8BZ5hz7PsL9XiPiyapapCGQhsbEsb2gULASFzeXecbvkfrD624CIMMCMbs7rPvoGYoUfdS2z5qNacd1zpw58tRTT8ng4KBE/V+5z3feeUfy8/PF7z+4Gjz55JNy1113ybJly+TWW29VdIDTTz9dSkpK1Dnvv/9+qa2tlfvvv3+ELzvWLD7WH/Z4TRc4dFH6MeYZEje7II4dhcmBIVQqFnByKoNGIc2Mgs1NJmIS/rtMmGHSA4X7tyDhykSTXgEf9hQ4prN9dOj1uclxY/YtJ9k2Y2GsAF9uEH1cBmklCtZzAbiigOL3UAIwSqHm4lwLUvRvMfuaIdYTk7Xj8/UircXGIgJmclaRN6iODcIJpmM6GRqh5P6SxoDCSnJKiuU0cwGvgPwVC0q40cf10DNenMZkLX2tcw16B3/bCW3UtQ3g7tbpa1mQApoC0H9m658SsJLgNjR51DE6k1QsWN+snaKuQd32I8ROzmyRwYltOYxDFgcH74NWSC8htEwE9k1Qhcxnykp3u1r1dZ6WFr74yQK/ThT8SoH+bUp1neAfHcGjcxiSbBUP9ROMpXRsJl6u01yEfMOBY+Z9OX6LEmSMJJHbTZuAZzLFKJ0cH6X7qKZbz7/REZynUCY7IXz0h++3meQWmkSISGHC6NQOEZ1AGdV1/AmmNlXg6GxMO64XXXSRPProo3LrrbfK1772NdmyZYv85je/kRUrVojIwYoL99xzj5x++uly9dVXS2OjxbeLj4+XpKSkkYoPH5rD4ZD4+PiR+rxj0RJiNOmxfniPapf26AljcEg7ui7D+0yCmHU1IuZpUKAZj1r3XPhqIsgN1N9vNACcLJT8owNHJ5mJBnQmd7Tp3z4rTaND5gJ/PlAwhjyjIxjG1O1cR3ikag+UA2KN0omsB85J1Iv1no4qF9lmOLp+UAcSjWfMjQnpGFG4b6JatEYsTkQus43EIao+NIL7yXD+ONBO6NgSzQ/AQTQpGIsD4Uv0dsDh5vPPxMLniGK/6WszHUS+IywoUdOlzzUvBZxGPP/X6vW1TnRrJ6rEa/3AFFSAIo2fGw3KBHkQ5SDHeSJlowy94j68UzRKMzF8z7KcKXH62uaD025uPia79NgpRgSkBRsVborJS86FqsA4pw7Xm8oAVAnhvMUqbRn6pyQRyVctiMBUdurzzfdb90pZPtJKiESXtuv3txAJUiw4EwSdwyzpHMB9MCmRBQioy0uObCqUOy7d+pJq/27S6SN/JwGdnwLqFp8Ji5mY0lpcV46HHevKWf9/szHtuPr9fnn00Ufl7rvvlqVLl0pKSorcdNNNsnTpUhE5qCDQ398va9askTVr1qjvLl26VO69997jcdlHbYFIraTQE6FDz8VAZKciBG8Kd1PE+1RU1mFW+b5OPdFRZoSOcBAhVZO/1YMIKFFKvroMB7GS1pZm7TxOc2u0waxeRQcuH9qnCVH6wokO0BmhwzbXpxd0Ex3kb7vgmFRBI5SqAnQuBocpSK+v3VQtIEpJZIqIC53gGCxkibh2cofNxBKG/sYl6cX/tFQtlxWFBf8DZLCzH5xY+Ex0eG+HHrfJIfJWo1fSERFJx6JMBYQWJI7N8lrvTTloBAdQA2AuSrwyaYWqEacF9Dv5jxrd50VO6/e4WeC4pZFXyGdWAIetCyH2/UYCHh1Tlo+ls981wKiGPr6jTV9LMuK5pkYxZd+SIdrPkp+MFG1t1eOcKPe7zZSJsu4tAcgjUW4mZxHlbsJcw/ngi3l6vl/XbPV5HhK7KAPGOfa1On1tZ2fo73M88NrM970W83FGAqlbuk2lDla7OgPAg+moimg0OWTjiPtMgxIH3ylT6SOSSMJxsOMuyfUZt+NegOCzaJ92AYIcr36Bv+jVYsWsGsKwSYORSd4C8QWAPzLDqx8/y1W2gjv0RqMOsbE4wgyv9UoyC7wG5H06wdSrpFV1w2kC2lts1OHmrvrp/fq3cpHYRRS0Gf2WgJTphQipmw7DW036ZDmJlKAaHUkSOQRXDIsL+XtNRnLH6w16sTgxmdJcoF/gGbX1c3HSHfHPeo1kpCWY/Fq9eLB6FS0Zjm0CEJheOMlBbKrebfSM/L0fjigXuniwVIj+E+0LQb2hzjDdY10rx1oLvrumWt/X2Zn6GVEzluuqCxs6MzGpMEkjrglwHlrB7WYiEEOWbyBbm8l9ZuSB6gevNeiNx3gk+vnj9Fja0aaR5HI4l+5YOuXW36lx4akeJ/i1U0R0kLxSFkPg+DHpAG1wFmlMotnUovt8hocbT30vT5Tpcf9veVY/00kmP57oLxMaSSVIxYaOCVZPNewb+fs0p65EyQIDlAj0ok+7sQl6u0nPJQQDzHvb0KzvY4Ff/xbHYkMvx7n19wNdfxPncSxA0F/TJA9nnvyxv3vNgdckJt1vFyCQMY64/qtaW5/OOmadbYaiUDNANjdbE0Askqlc0Lvb26HPRSerHbHHd3v/otoLYr6i2uZOmIJlzzWXqfbZnjx9bUjWOYBJlNWLiBb+0+AOnpyqJ+SSZJTRbdQLcpJPT3SBBH3uNCRgMKvZTDQqdALdw4JMR4WJIwxjv9Go4cBibFxMZYBMZCwTeXirCVV60KdZQFG4IMyGxmyVgaqwFj1lgN5GCVddR0tEQCOMA8IaAWciPX5053FPh24z8uA7DEWC/OpcqG34DVSNaH08YC8m0zH7Pv4w2rkhSWuGFusAENZmhJ07B/S1EZHjb9EhoKNkjgdW1cpJRJU1OC58RglAXM2N56E+b26y/rxfzy7fLkYkAdSeevDhW5BAZ6KaIiLzfBr19BpO92sYx7xuame3gZPOd5LyeYUu3e4ydllR2GiygMA0qExMgPwdVQiIcpNvvyxgOavc/L3XpD/LPuWmiHMJi2GwzLKZ3JeF94/vxA5QIgJxnMesz4ePSXz6NixHxnG1EUbLbMd1DFpkZPgQ+UKQjSa79ISQ77COb0JVTWrZErWkXBZ35Hfmf1m1O+AQvFZvfT8WMXM6qtSvpOSUA4Km5K0d6NJTkKnzmoBJ8rRUcti0h7epBZsDVBQrAOc1H6LwItbCx5AZF7YKIIeTINWzD9m3DKkSFTd5qpMgZk5ENe8wmcEMPf5xv17Qz83QHWP2C5NOeoAGMUT+2zKPvjb9U5IRHz6svd4QR09FqJ8bMDoTZdovOSwfkxSLWOMdpfOAaK60gTfIZJ1wzqFIKB2gwyiFS2QpXOlhEZFch0a1ClP1BMHNQVOrRkVNzmw0rps88QjkbtNppjELvQKJR2YSoj9WH0uM1ug9M/mDKB/MIg9MJKO1GUh1VSdLMOsbI1Vomjf8880GvzYyQidnmTx1cvU51vj+0vi+z/VRVgpFXgznkpqwGSjyQGoAZQH7hvRxVqvjxnenkVjMsuYZ8bofmJvBsWZSQTjGbfvsme24jkGLjtRO1Ybh11R73tAZqk1uqNlOTwwv/MGkFIaKgnBkM6DF50Zyh7ko9yHmSR1H8s78sfo4eWpEKkq8erJqNRYnhgbJ/aPeYRWQ5wxIWDHZh5aVaF0LQ72cRLMT9XWTV8wwNtG+feg3Ex18D6FBPi+G8+kcUFZmimf0pCQRkapOy2OkDBCRSEqv5QDdoSD5phbq9KqmUopgMhUr65RhM7CxRx/f1a6fyYWojevDO1ZnyGkRiaJcEsfDjjZ9X/44fYLJELivYua4cW90VDITmLSirRXPZAAJNL1AzSpRVMJEQT3gcjKSQBea1apIieFmk8fNTVg63s9GOKoZeMeoZ/qPWk1xYuGGXe16DjbR/UtQxYkOWhB9SGeRGzxqCLMsa7Lx+Q444ERrOU+Ru0vH14mEqilIejNR1C2t/C197kIHymIn6n5iAlUP5mjya+f4rO8TYeUGbcVOzZ+/Kitdtc28gLGgh2onZx2d2Y7rGLRh6DrOiTxNtd9p0KhJZoJe2MzqKsymZYEBLg4pceHRA/JpyZkylbr+XKUXg0CsXgwKwDO9tVSjP9MT9OSTDpUCIptm8g4d12Zw+5jh/vlsvVjQgeMCEROhvajnq622A858AhybTU3IiHbr+ypK0s+Ekjbdg0Rgre9PhwYsF1EKdRORne3VY4vlJxmaNpM7NkGQnGOLAuQZkMehE5YCR5UqFGa4npJUO9q0w8VrSQNUtRiZ+0SHWUzDLD8bh50Jq25NAaLuQWSBRuekAvzdk1OsZ8RM7y1ASHMSGCoGz/BAmmrTeaS+baPxfVZ8Iged1ac2NEHCyMGQeHi02IwssDIeaQUN4PbyPub4tPNIygTPZw6H7ahcN4ixwud/ZpqeB0nfoNPNxLGUOOtemEwViA//fKmV+06TPj7ZzUgCEyKt9kRE9nZDapEACqkD3LgkRhFF1e+FOb66MO+0Yexdl6vHcRGKWZjAReQYCLqPgfywz7TZjusYtK7+RtVeF60VEy52nafaAI/EYSQ9MeT5HqgDgQQ9mUxH4sD2Nn2cXEFWNHmr3vq9S7K188Bw7X/s+rFq35DzXdXmu+1AMlcvJjOzMhMn1SKE69PAgaITnI2Q6iAcPPJSz0q3nBMuers69EKUmajbzb36vl7pYCKZvk9OemayFxEWokHsw4261oWkx+trK+vUizQXynKjahQrX4WE68ivhJOUBl6iO6QkLDWJR5/9iTySk0y9yhqgwQ09+jjLfJpll7uR8EgtVF4lk1S2tmrEnZvFKW7eizXOt7cxaQUlX9HHqah0x0WciDqVH5JirN9ug4NNKgcd0TPTgcjiPuNY0CBkk2T9zXfgT/u1I3NKALxRhJL7gDQT9Zztb1XtBmMsEgzg8/LGYGOJfiItZScqBrIss9mP7LNKKFqQmz0Aeax5qF7Ijet6JEGZSYh0TKchGsOiDnw/WSKWXG++J1/f+ezI319JvlgdOyFZz9cshcsIW71RkMCWw/rsm+24jkHr7C5Xba/nVNV2IMN9P+iW8Ua6JyfZM7B40HnYHNTOQhs4sAzXpsAB/JIh5P0WskaZjHFT7g36WuBU0QGgE8Y67WbdbpZspUPnjgvvZO2HgH1dj550s1E601x8shP1uWd5Nf8uPV5f91uNkLtyUqpJP8StrXpS3hy0Fq80JJVROisLtefdMXrnQYeAJUKZdW72GzVhC6AqwCpN/XBsart0n3Ns5iFhJmgsRsyWr+nRbVbpIu+0rlv3McsqcxEeNLjifEdSwM5hxSDSDqi9SqoIw6KpRqLQOCel8PSU/lqD3jySOpJzmHAuK86Z8nkMS9MRacRGY1c7SptiXK9rpPNIVQHrOBM3p4Oryc0Enx/R/f3dmjqQgQ2aSVPKQxJaDqq0xUYieRLj2I3nSYoNK6XFGefrRUIc57lmVIyiPF4T8gTWNeDakPBqShISBCFiGo9EYJKr0rGZDGAuomb0LyZ8fuTv/iHdR9SMTcTuYTMiDzUGDtEbFSHAW465caNk28cz23H9DFju8BTV9mFhpEZlp+EQ7NLqVSEJThFwDjsGiNDp768of0K1fzb+3/T5xJzgWQqTiQX6t3PweYbFGAZ7tkqjogUOy/GZ6NJODvUod0P3Mx4JcXugX2s6xSKh6JCZO0Anub0//LnzkZTEZKwBOOx+PP8/NFhqDfN7ctWxpGjUdE8giqXvi9fO0CF5yyelWI5PIJ4JEvqz5EvmuLSMAEPobeC8dQK5WttgLT8TXQihwomqxcajB95hvlPfdz2S88i/7jW6pROOK52kAmgIU85sEGLp/H5ND8O/5gZNj/MGCOunwBFhv9QjfNsMh45Ug6cqLOfzmiL925RmogA9KS8MY1+QFR5xNTeHqahVn4K5YheSjIgk08mu7eWGHfrHxrWTHsVSt+RudveEd1QruvRvkzCRZGx0JqI6XTUKoXBe43xOh35+aviKcmbRgCbMv6SNkTrCueRw84MrdvQoCdFaVtmiI0uRz6lu6z5eOc6Vs4Yl9Po+6vdsO2i24zoGLQK7se2D/1TtGd0XqnYSyH8mP6+1V7/QXDw4GaUBkXkTAtb/kf1F1d4N2aHGngjjmIaCM+P1Au2P54SuJyeWq50M5/H6YhYNsBaEKsjfsIZ7LpAmJhKFJqHpGT8HHCrTuaQqQNcgQ6rcbdO5YBaybkejetn1OTkjf3NRZFiM1Y72dOhFk4kk7LclAd02+yEItKcJaN2BbmpQaZTrxVp9LVPcRAf1t2catJayLn3uOtF99H6Tvq8TUllBTB8vdOpnUgeOq8fo1ilu3ecM3zKEmo6xEwdEjmj/iclB1f5zpSXHdDJK+tZDmJ+IKrU1JyXrd7QBTnRbv+7XdIPm8rdqrdtqluAVEUFgSJpAv4iBhnQ6EDiOp3SDLE6n6QCc+wuzdaniBHCgozA/nJKCaACc5g9aLQfx9xX6sxPdus/oVE126+fL0qiTUf2M4f0NqoCBRx3jZp4a0UXQ0nVgs0DOektIAQKrzeRasyCESKge7SYkilb3aL4NkxpJczD3yFuCeF9RMawAaiklXv2OvRe0np9dbvWzb7bjOgbNkZCv2jOjtIpAJ9j/u9r0i5hjxEEonM/dPFERHucCz8SDXuzg/zf4x5G/L3V/QR3jjpG0g61B/YmFKRDHxuKUhF24aeQsMpOU4vhEdz5o1ecu8enFKiT8ZyyMNQjP1UKHPwXhfIaaaxHWphQXK+2YWqxtkCSa4aHUjv4tVhTbgcSTDHAiyZk0ZYeqgRxR3oZOFBOqLs7WiyrLtFKOx1QSqNH+dIgaRkmy7rMNTfraFmKcxwISqUDZ3Tk+61qJkO6GHu08v/6tSCDqraA5UESeRQWWFdaP/L21WWuKkhJB5zEVPGIiP0xqo5JHliEzxqgD0fniJP1QUuPCLzctQD1Zrc4sxLG5Vb9jLCDBCEtlhw4OV2ETRQ4sKRPmhm5cknZ6cxB3ZkUp2la8Y7m4VsoCTkiyru3HO/S5zs/SjuYQnF5GkkIdVyKyo6PmvtjwlezoEFJlgHMPOdGU+TP7kWuBSY8SCZVSI8Keb1CmotuON3YZcYTOs+1wf2i24zoGrTD+JNVe6NfIFDmUrC/tNyYYh4+akRTW1y/8biQS7cMi3Nanf7trULe/7Ltk5O9Y+JUMcbME5HmZesJmJnBEBIX69fmYaGDaX6v0JFns1rv/mcjGpxD31iDC3EAmdhnIpVkOVEQkPhmoNybsvQhrvgd0kOF+CprHGqdjRaEXavSqOhXoD52uk1CW1Y/qVp1wyk1eGstwZoHTxsl6a6vuUz4/KgFwU2XSHFj04XAJGPlJQGSh40sFg/l+vQibyDZRTiatsH48Q6Q+VJTqA9dvX5t+/8n9Ne2MdJ19mYjw676gRklTQalZklet2uVGdTIRkZhIa5zv60RJz2Y91hg5oAxcFcbSTbvLVfu6TF362kQTORYKwDN1oU+pGrC2Qf92IJ5UktETIs+BljET/xj1INWHkSXKow2AOmTO2TdP1vdVi7raa2r0ucu79LVcgWxazrG1iCyY5ar5PrsxtnoG9XfrQuYDfe3pAA9YJMLsV6LUVMfhO7ijXW8OzMp3vZERguDNMTeb43p0ZjuuY9B6IjRK1oKs8wLs8AsdegIxkznIDWoGz7QVoUA3MmIpQcWklX4kCyQaTW8sQ2T6uqvBO2SIlTv8zgFSIvQJNzRan8/Va70UusKXRgz2E/UInwHN8K+ZzPFGg+7T0wJ6wmbY+U91taq9LFNLu4RI4CTo73caGwBm12botUA8OFctOI7MeG8DivpsZbJqX5jTMPL33GhIUrXqh1AJuaRpbuhZYoGnU00OnemcEjkmv45UkAFsophYVg6ElVJPZpnev1bp+5jp050+06vHyiCcon3gKW5t1dfKMGikca1E59pxn21AczluW0ANcMLho6qAWc0oF0lKRPsp9E6FCs4HV6UVq/aq6i2qfVu2xfWnHNbmVn0f1PFlwtSluUHVJjWA/OpGwzFi4h/1ponmuhECp/A+VQQ4Vk2rhtKGA89zXrK+Dw/0aCmlF4PvH0B0qMrYdPUM6Zdm4mEqvnFzwfvqH9LjnmPTpEwQASclogtrAxMczbyBseAyHgnH1TbLbMd1DFr3sJZi+e8DP1Ltn7m/p9rt0AU0Qy6UaqEzyAWeKFd8IlHP0TVERURKW63zzSTaG8HFRF/bXvBlexK1o7INqNj+bo0WnZBsOUq1yBIvgsNNNIii39HUp4XTxIUw3QjBnpUeHtVkVvm3clP1tcB5YMidmf9mePiNev1ZauWSN0qHb3NQO5vTPRpyXxLQY5MJU6ZxQQc4FOIA0EGn85EOxGaDUaYzD5u3diQZBeFUsYRvEJ9fG9Q6YZ+P1ZuJRgPBSYNKhFlyWUTkslxs4LBAe0CZyEwYPVwrIjLJY52fMm3PHfCo9qONWkrvfyefoNpvoXwpnzelnLYbJUJTwVEfBz5lAzZoW1r051memEmmX0+dpto7jUub6tYvwRSX7nMmRHKpY4IcHdfNkChrNagnDdAfpB7tLBRGyUcSYjQQ81psXEJLAFufZySB1J1qOM1MHOTcwXd0vl9/wQRBtgMZ9sXo3xoc1u+BC7QEcmCJyMZhjv1DhXWxS9L1b1MthffF998EfwbD1+T59G34CHm2trM7YrbjOgZtaFhPHt/IuEm1mazDl9akDnDnyZ0qJ8J1TUQe9ffJQ6Ko/GQjTFoPnillvCg5E4nhSKd7ll+3z4rT6ENStLVgMGlhCzir06GNyXBtHbKziZL2DgHhMRzd1xv1hH46EpooC8OynUxiSo0jIqPvxax2dkpAHQoJzznhJNUCwalEGd0CVFOgBqU59rZDj3I8tHOZ0bwP6gp/C6IcZbJ2Hmb7dD9O91jw0NuQXiNlgkmJO1GmlQoYX87UHckNnfkeMOGtDWOPVAFu/tIQMiW6H4UNnxkGb0R4lWvbMt8S1W7t12PvpIBOYuqD8/DQLu1UXWAU6iAKVoWSnyFlckEdYtU+FlogIhtl6IZtRRWnM9LAn46CxwYrBZcXFUVDkppMRG9nBJQYEBHjRtUJigTlzwaQo+DGJtprZOMzyawZz5+O6DwdIAkxRjG4gY8z+pF9xJyDlLjRKSwiIp2YO/KhlU1e6lcKrLkpKkI/DxYzYLlhrkseQxXkrfAU5E/dhuXIqnfZfqtltuM6Bs0TkanbCGNSw3BXq35JZxuTFRdcFhSg00seKrUW65HduQkFDfqNE9JRTYUU0244D3SymfRAo5xOptOgWEB6aSIQ1w+QIFEMPcweIDDcIXuBDpqyQrta9SQ7zql/a2uQvGPVlHQgUQlResKnQ2+2WbK3czB8xTAmkuSAO3Y4VNRMiuC5WYVpmqZXhtSHPy9TL2SeuKBqU+fRTCwxKQsioUjwpmbNaQ4ikPnHCmjGggMbCW/DfG84Tmcj0tAD56AHSFMtVAT2QNJosltTh+KMZ+Do18/j7HSN7lGaiZGDA0haGp+sOc7XFY9ezYrn/qCVYwUJTpAUO4Akwyw4G3Twtxj0WyaNbgFVYA9kAGdDeJ/FUKhHzdDzNmPePMGvHdGX6/SkyaTD7XXaeyTay5LPuXB0zQTI3a16HBOtD6D6FOXOWBSiDf3QQQ6NYURMkyBnWNap3YlkZP4TJSW1YGtQ35u5OWQehxdji0mEXEtMjuvQ6EPats+I2Y7rGLQY0QvAlmZw6Px6omOiyeZma4I5WUehQ1548kQpScLJqiBJf57Z1rlqHdS/RYJ9GlQFuKMnYkPEjrzUQcNZJerBuSojnnwqfZzhugAcePK19ndZ17IQqCezb+cCOf51mXbYxiVpZ4LIE59Jctzou3cXniepIQ44l/G4TyIb/H6VwYHNiKdTq1EwlnCNA93i3SaPap8EFI30jB7DKd/Wor+bBs1Iyp+9Ua4X6JPT9DvHhZCOTouxBnNcbsPmcLo/KOGMRQOovsD7DhqODp3ibRBen+7VjqwDPGSiXHSqmUgWbXyemftusEa4KQrEQ+YP/dQM1IwC92aVXqpGEKUej8polLPrhgNHWUAX3lmTxsDCCqen6bGWAIcsGZJyNdgshCRI9TBxzLq5ZHCaqQpAVRBGyNrhABYlQWu7l86mdS+M9LHPTedQRGQelFgoxcbxw6iIOXeNA6c5tJysbq+BzMi/5Vp9GtNz/LFLu+Tr0ZntuI5BixrWjyUjUU9kfoiKE1U1Ne4quiher7/LFyhkp4qwNCfKWV5IGBlIxXZUeJoIfqUDEyFpC7+t0mHMU73aC6cTZWp5JoMS8Ug5kKQCDf+RWsAqX9lYfMiJS/JY/UBprRQ4cHRUlqRpdJjOwvtBiMKDd9xuPAIXnIcmJOOlIpxHHml5iAat7mMKs/sNxNWLMCNDoq83aETlTGTAn56lk9R60E+kb5h6uRSgb4IGKJ2NpZDeovPATdFOVDfzG5uFdGyCGK5tAxXEi9+qBw1llk/ziHe3a96xuSljqWJmfr+BPj8xWUORHUCmWcCA0k3T3dZ7QHpNDhA1FrcgTcUXq5/Rtja9IafzON1rPYNyVAskfzo7kdx9qEI4dZsoNyMqZtU+zg0bWnQfnQ4HTdAsRcIUtZPZb2b2fiKO0Qk+HDLJql+spMWEOzP5j3NeDBJ5z8vQNxoiE9fmCHuclbnSDfSYXF5WeKxFwZA5ft3HvlhrrEbis8fDbC3ZozPbcf0MGBOLWBOe1W7MAgSd4PPER4VHKmghkkT4PJ3NNsNxneYZnRcoIhIRgoNqO92voUsuGFlApoqMxYki7gs8GuaMi+IiiuQeIFlcbMgVzjQc26RYJg4ww107MlVYhJFPJTM9+iHy2vZ3WP2S6dB9ympkXiySNd1MsKC0mv58JXiIJgc6PgqVzuA8UrB8O0KDcwM63F/XqRe6Nxv1+UxpL5bdpJA60XuGgpPQL8zWXhTQY9lcdImo00FjBnE8OMvzUvSmKgooaFGSRk2JTJtGBy0Hjkg16BaUfaJKAbmeKQaSXYdzPbZPX8uXCvTY4oYsAeOlGFqqTJA0x31jDyNBSGBz6esmp5Ah9PFJ4ZO7zLmnA2OnBFJ63AxQ35gShNkOTACwciN5K2NYXydLun7QrPt0cTopL/rcO8Gv7UzU921Gdxh9CQFM4FTvaNfjg3rV1Hnlhs/UbSYYMAHPtwBULzrFpuNLCsrxsCPhuNpm2RE5rl/60pfkkksukfPOOy/k2ObNm+Wyyy6THTt2HOKbtn0UG0aVZwe4RIl4wfd1sg679TcdVYY1D3RSiF3/Fp3iw2XIBwxEjxNZbF/44cZJlagJtRqzsKD3GZy7fXXaKTonQ0/4DJkeTlP0tVp9nycGKJdj3RsXQYZjWVmrH7A3f5u16hlSM/OnnNHhEXUaeabt2OgwpFrRoT8/3WP9XQb0h5xHlrKd6tYLPh18P8L909z6fPlOK6mpE8oawT7y7fTz29cBxwRaudzwFSFUWWmg+6ngRzIqMTVdO+RxoFRsAQdyvEcjrsE+PV6Sjd8jOveLPfqzX8zTv8UKY3N9GoFlsQOqFsQbTnpXhx4bl+bqNqX3BodZoEI/k90d+tqLnXp8mOH+iW4kcmIPTISO73sWNnRMoGOimcmBDeVThg/XEwU9CdXKQsAA9LmJqjOSUI6N5CQvgQl9n5xbUkDfWFunEwUd0da9ZKL8byU2vXUofnG40rice8jXNdca0idIWyC1i8Uw1tRZTnR3dKRAJfCY2rAcGVXg+LvbY8eOyHF99913Zf369bJt2za56aabJIIxQduOylojG1W7tlsna8VEhH9sSwLWgs/kGiZ2OWKw4waakI5FlmiDye0U0QvI5iCdXvJh9eSSGZJtr7//z3qNejIJwh1vLXQzPNrp4cJFNJBJC3RcLs/X17oTyR8pxkJIFIsLG2vXx0TwGTFhQvcDndPkOPOz+rvpqOm+BwlURO/n+rXTxPDghiYdtjYr7VBDlqG/KUBJMkC/aABKXgPFgxIkDu03OM0pcHL9cbr9NoT0XQhzEkFvhycUwg02No8NcJKpV5vphOJBtJZxy4SqwCs12pFdgJKvJofybwc05eWLefq+uWliggx1WpmsFUjQz8hEqw5XcIIIGpGuCjjRP615V7UvcM1Vba/xcWrb0oF7L6hdk/4h3SYlaqJLv/BERc1xzqRQOslzkLxFLjeTkOiUkZZkPkM+T66847HBYvnZPdiwURniohx9LSZlwgWQIh+Z/qUoXlMLVZkC5+hRqkPZUxVWP52con+LjiqfAcvmJhgAzljwVsYa4trc3Cyf+9zn5NJLL5Xrrrtu5P+rqqrkrrvukvXr10tiYqJcfPHFct1110kUEoZNe/vtt2XlypWyd+9eSU9Pl+uuu07OPffckeO9vb1y7733yosvvig9PT2yaNEiufXWW8Xn833k6z1iqsAVV1whTz75pJSWlspPfvITcbvdh/+SbR/J4oc1+reuSe/QmaVe4mWYe/THytclWc9TIcLrLArAiiW9uimdxqUQSWjrD48s0kgNmIDFhRqTJgcyAwvuFuiT0lqQ7MEQOzmQHnDH2gznMhcyL8y+ptwVJ/h29NOa9lLVXpaqhdpNS0dyFXf2DvQpHp/ERtHZ0McvztZOt8cILQfB5by/olK1J7kyVHtfu3aSiGSRT8tEpKwk7QCa1ovvcizSweeU+WyldgC+XIDEIWPBJ1JE/dJhbFz6+4lia8c2gM1iNMX0DdSTKAwjIqzqVJCk55K19R7VJspJizEchGnQfKXEFFExFnGogtj9guhZqs2xaybEOVABbg6q1ZV26DmyEbflxBT5uzJ9rSWoSGFG0Fm8hPzpEjhkpH4wUYwWByfMTGKig8YqiqQRcTORiRLO5Li29NPhM4X7UW0uqBcPRgabIBO2MwiJqhj9jALx+iHNMKhmK/Zq/vvchGzVplQi8yfM+Ty618Yuabfddps0NOjIUH9/v1x11VWSl5cnTz31lOzfv19uvfVWiYyMlOXLlx/yPHv37pWrr75arrzySlm5cqW8+uqrctNNN4nP55MFCxaIiMgdd9whGzZskAcffFBiY2Pl9ttvl+XLl8sTTzzxka/3iB3X888/X8477zz593//d7n44ovlZz/7mRQXF9vo6ydg/RH6BZ7s0gubK4bIBsKgRii6G8ghJ3BXDFEyfZzOJsPUdGR3tVsniIW3UJREx0T/Fhd4OjJcCDe0aBTFlJUi1y8Z4dxWUCCKkKxRg6pe+UB4skPQYcuJZjivH/e1UeechaBehfCxb/AUqXYQ/WZmWK9rRIIDOGt0uBkiZeUl8hIpGp5tOI9Elr5foCMFbjh4rJtOjmwqSkh2oMqb08h6WVuvXc95fg2JN2Njkg0NUTq2F2STI6v7ocFY8Dl2iNbFwtmIgdLDZF9Qtbc1e1SboeNBY/u5rKBeHSNCzu/SSjzakaVEUVOvdi5M1NQFPiwF50lxoXVDymNWcvjIgrnRZVEOlh9NjkXhBMj4pSJE7omFuD7eE9MpI9pH1Y+9KNGblqARWG4uGJHhEmo+U2/86PQJkdANNsGBv+zXny/x6z5npMncdPuxOMzz6fviXFHgYBEQonQfvUzziY4c1e7C2NkGicEAiniwuMXxtrGkKvD73/9eysvLJSUlRf3/6tWrpbq6Wv7whz+I2+2W8ePHS1NTk/zoRz+Sa665RmJjY0PO9dhjj0lxcbFcf/31IiJSWFgo27dvl0cffVQWLFggdXV18swzz8jDDz8ss2fPFhGRVatWyVlnnSXvvfeezJw58yNd81ElZ02fPl3+9Kc/yTe/+U257LLL5O6775b8/PyjOaVtItI7rJEMOpN8wSnNFDCctNI+Lv76jaHjmgEtRXKgNjfr7y/QY13SDV8yEhMTnV6S8zm1vI1M7guz9eI01wdkyhBq56JJjVEal1jKglGSyI9Ekl6jfCE1YHe162dwaiA87ywZGc1EUdqwuIwzQnCJiA1ub0EVL5S+pcrA36p1GPO8DO0ATvdqKkGpEfbMgP4kEZQqJKkUwNGp6dIbtAl+TQ2oQIjVdPhnQ/aJ6Oxsr0bBSlHLPB4rye523Y95DiQGGlJPiayE1K83LryWITzvSqgGFLlH526LiDQYFIoJKVqZoarJq9rk23IsJSNRbB+pAtAFNTeXLVAg2NWu3zGWZWXp06ngY5IrTKk2c7NJfiwddvJrT05laFm3E6KA7oP2kmRg277DSFK90aj7kGW3mfjH4w2gyJjPuB3JWOubdXu6Z/TKVyIi52Qy+gMuf4veCF2RZdFWuCHjOkR9WvJMSbfJAjLNDb8pj5YBbWvq9KaCtEpE/XXjtnqcIuHjb5++jRVVgbKyMrn//vvlN7/5jaIIiIhs2LBBJk+erKLp8+fPl46ODtmxY4dMnz495HwbNmyQJUt00ZP58+fL3XffLcPDw7Jx48aR//vQ8vPzJRAIyPr164+N4yoikpaWJk8++aT8x3/8h9xwww2Ky2DbkVnvsA6BVnVCHB0lBpkZmmrMe2ngOJJnurZeIy7nZhDd1ZNPsVtPhNWY+Exd2FQ9/4YYUS4iGacF9ES5v0tPbCVAqnoMhO4AHJMClATljpeJBtS3pYQVuWZmyVcmCk1y6c9yMSGyxJrdlOpiAQJzEeZGxIVdT6GTTjGP698mqkZUpdbINN4PzuJ8SC9N8eo20UDqPNKKUrWT1mBolpI28mqDfv4nJoNXjJ0KxfCnQ8mB48UMexPdJ2+QxRAG4RQxgsJCC6mJOqZuViAawrmykbBYCn3bclB/GPamqgA3bObYbsWGmaohRBZDNUL1ucmXz8D8kWo4TnyH6AhQQ5a6vtVwDmtYuAOI3mZj6OU5EBmCE83NPy302sN+XFENnHg+c6CV+o8a/Q4mA3iY5NJz6gZEf070aCTCnJM5R75Zp/v4QvBjQ6UW4egyeRf9aCaGcm7JgnoKEz8d4FfnOq13ZssYiAofKeBaU1MjixcvHvX4yy+//JHP1d/fLzfccINcddVVMnny5JDjtbW1kpamS12npqaOXMehHNfRvtPd3S0tLS1SV1cnXq9X4uLiQj5TW6vpIOHsE5HDio+Pl//6r/+SBx98UB566KFP4pT/0hYToZ1Homh0qtKw22wy5rKMBBYBgKOJ8rLklYYWAQDaC75QmvF7FMonrkmkkQ5aaPUqnA3zjxnmTIsfnYspEsrHJFrUjkn2Rzv0vXy1QKMqtQavkU4yqRxlneHD8QlIDNoJ9C8f6J+ptXsAJVsXJOvFxQM0l2V2850aBUlCydh+hPvMRLMKbCxa0McNSEJJwTPi8QE8/ww4ZfuM5CyOhRLoC28GH4/UD4GTREUMLjRmBjU5y3yHHKBIUFWAzkgI1QTJfkWuduOYfh69A6SG6HPX4lq9MeTA6k1zJ3nGxu8xIW4OKobxfZ2QpK+FSCMRWYaWzfYdlWvUsbtzNcpDqSZuNBkNmOTSfVwGpZaTUqzxQlrCdlSzSsL7ToeNG3SCCZyr6g3usBO/zed1doSelxhJYtlVL4qXMGnNfK8o6/b5bD5v/YG9qKR1Soq+Vm42ekANMvvtbwc0wHJmhr7PTLxT3JDVRlo9cbzd1mGJOCLE9ZNO6PrpT38qcXFx8vWvf/2Qx3t6esTl0mP7Q4ezt/fQXPienp4QCsGH7b6+Punu7j4kxSAuLm7Ucx7Kjshx/e1vfyuFhYUh/3/dddfJhAkT5JVXXjmS09r2fxYteuFKS6DDF36/NtFA+Nr6GULTnz0nXSfVdXI9j6RTpdusUGNWu+EETkeVnNb2QU6z2t6o1781L2X0fmiCVioXmyBQsLcb9PHUeH38wmy9mahHlRjzyhk6LuvUXtEOIOQzPExq0L9d6NQL3Q4Udsgy5nAfCkxUdtM5AHUgRO9QLwCspLS+QXNJzUQ0N5wgSmmRC9gER/WtRt1Pl+RopHFXsw6Dm84HnYPXGnSiEBdkSsjNgBYnxwtVKMzTUWljEAu4BzJuIbXq6XzCYTd1PEVEpvgt+K8Oof1K1K7PhWLBqanYiOCdZCIRHT6z8tLhHLJybGRYna4J7xA35ETFzWnvp4WL1LEO0GeYCJYYpfuFDj3nqjQgleZYo2RYEZxHauX+fp8+17xUPTelga7DDVu3sRmJxBaKBQmI/tcz/I5kLHJaGc0xUfJJLj12iBzXoXoVE1xJFWLS6h/36+MLDXrHNI8e52/U6ed3fpb+bexb1DgfC1H6I2XcpqenfyxU9UN7+OGH5ZFHHhlpT5kyRXbs2CFPP/30qAoB8fHx0ten+/lD5zIxMfFQX5G4uLiQ73zYTkhIOOQ5PzxvQsJHFyn7yI7rzTffrNpPP/30R/6Ro7W6ujo5+eSTQ/7/hz/8oVx44YUj7ZaWFjn//PPlxz/+scybN2/k/4PBoKxatUpeffVV6ejokOLiYrnhhhtGyMFjzfpFo15EkzyQ8qH7ZiY1bYW2NeuFE5lgEkuag46OHuRbg5wFrPZsP9Fe/Uk6sizLuQd6pxflcFetr90MyTLkyfKCv96rv7soXf8WKgaGSOBkAIk0RefJt2vq0y9kAlaHVjg+XNDz8Aw46bUZzgTD1K2YI6Lc+jgVECog+p+IkkT8vOn4MuEtJlLfF2uws/LSmWmoVkTEFU6Y6WR1ImzNcC0d9J1t1G3l5K3Hw8523e40wuLMps4Eqt2I4hWJieHHJhF6ZpJvbbI2D0z8oYRcShykuhByHQeudh/6gePBdB7JYaSznwkPgX28PaivralX9xtLWZsV4/g80+PJp2UoWffh6lrNcszEeOFGx+SxNnWHd8Do0M1JAc0I8yDfKRf60US9q8ED9w3qd2jVDv0eFEHv1g8VmX90blXtiz1TVdtEwZkQRzk0qqOQKsbo3T4gsqen6+dvPuMpHv3d2T6ofMBh396mx7k5h0aPgZKvx9ouu+wyOfvss0faDz/8sGzcuFE+97nPjfxfd3e3PPLII/Liiy/K888/L2lpabJr1y51nvr6g2ThQAB1zf/P0tPTRz5jficxMVGSkpIkLS1NgsGg9PX1KeS1vr5+1HMeyj6y47pu3bqQ/6upqZHk5GSJidED+JNWFti5c6fExcXJSy+9pM6dlGRNPnV1dXLttdeGSDqIiHz3u9+VhoYGWbVqlfj9fnn88cflqquukqeffloKCgo+0Wv9JKx7UCelMLO/OImyIlgojZB7Wx+SSrBRYsJUANmXoTqA+vMHuvSCkZ9kch71hE6EZp5PT9gMkQWw0HGxCnHgDJSVDhyd3H/L00O/BmUA2U+shT3epVEWp4F8tABJ7MeFEkmiekKRM7yj6kWkxayU5sExlvils9iLRbcaSFU1QstnpOmdUFKMdT5K79CRpSMaCwctZkDfKUPmRYlB1W43+jkIhJ1jpQVIUybUMLa26jmsxIvEwjAKRi44rs9W6t/6RhHQIKDe2Sjx+tgOLfVzXqbm9ppjm0oOJV49LulUpSABah+iAQxhFoKeYT6zeDgLFa06esMMdyYlBbFJHueC/i2cybeMiMsJqXB6ca45Xv1C08k+KVnPPQyhc6567oDlwC8O6HeIGtBmkqhIaMU4npv8bDrZrxlleyeCbsGldvkE/d2OAf15FgWZFz1JtTc36345Idn6AfKd6YhSmou88cNpzPKdrTHm3Hxs9thHnN8nIPvK1HUNH9c7BjYcGm38qN87UvN4POLxeEbaN954o1xzzTXqM8uWLZMzzjhDrrzyShERmTNnjjzzzDPS0dEhTufBqM8777wjDodDJkyYcMjfmT17trz7rtZjfuedd6SkpEQiIyNl1qxZMjQ0JBs3bhyRxyorK5O6ujqZM2fOR76fj+y4Mvw/MDAgU6ZMkYcffviQxN5P0nbt2iV5eXkjxGDan/70J1m5cqVkZmaGHKuoqJA333xTnnzySZk166BO4H/+53/K66+/Ln/961/l29/+9qd67UdifYPaOeiE48rwHqvhuA0U1QGYk0gCs+fpRPVicmK25uxkJJ4YX3++Xm8iQoj/2MG74FQNQ5B+W6t2ZJKi9fEMp7VoNyJkyvAdF7I6yF9Ng04kQ+ys6V5lICEsH0tHdVuTnsD9QMX2djALGdm4CVycrB9glZ5C8G0rgdhkALEjFSQNHOkkJBKZyTrUsyTHmQUjiJLuhq7rHGTMd8E5/VOlhTwym5qL5p42fR/Twcc8MXl0JFlEZEISrt3YVBU4NRJcnIREIYSSIzAeyB08Iy2o2kngY5pJLLuC2lmckqyzbcpwnJW2JkElgo7rT3doasgNk63iKI14P5OhnUyrxzt5cQ6S82L1fbZgPBUZldPSoHaQm6g7kbxxlkal80hu93449AsNAfyQog7g+g6Bi0iuN+c9vlO02V5rfPEd2t6qPbRxSXoskq7DaN0UL5zuSH3fMRHWvXFsMAHKh0hDIuYSHs9z6U1RN/jUsZHW+PoAcz9LGZPTWonKZ+ZdhpPdOlZ2vMW5/H6/+P1a/DY6OlrcbveIH7VkyRJ54IEH5Dvf+Y7ceOONUlVVJatWrZKvfvWrI2hpZ2endHV1jUhpLVu2TJYuXSr333+/LF26VNauXSsvvviiPProoyJyEKk999xz5bbbbpN77rlHEhIS5Pbbb5e5c+fKjBkzPvL1H3Fy1rHUay0tLT0kp/ZDW7NmjVx//fVy4oknhkgxeL1e+fnPfy5Tp1ohkIiICImIiJC2tjaeakxYJPaEfvCtmHXOUKXpfCbHU48UyTqYCFm8gDt06uExfPT7cut8S/x6o0ENUS+qGyVCmodOVV0PZWb0tZqyQdRGJS2YaCA1Z1m7noljnHhMjlwDkMJxTk7o+lxEZImo7u/UF5+KhIo8wzklmkD+JdGhzITRx85B0xdHTt2QQWug00ujMxGPccxFtx2O6vstepH+Qo7lpFGPVoRi+EDMESIn53EPnGg+7wluyxllmJLyV5VtOsEhAWHtckhY/alSX/u1xfraEg2nbVpAV9kbwPPm+1wIZ4HJd70Y598cH1RtM5qwoRkyXihekOnUG/AqOI+FcBbJr6aZ5YXpfEQB5SSSXNcTPrs+Ac+Q77+pQby9TY+NeVQswObw+Wp9318tDKp2BxBXUg3MfitOCv/ORJM+RSk2ONWULGPVvyZjc1ngxDjE3E8UkQ56EzaqEzDfx6Nda4ANRGfpBBMx96MSnvn56LajgC4/IRtLOq6jWVxcnDz66KOyYsUKueSSS8Ttdsvll18u3/zmN0c+86tf/Up+9rOfSWnpwSI5RUVF8tBDD8nKlSvlsccek6ysLFm5cuUIuioictddd8k999wj3/rWt0RE5OSTT5bbbrvtY13bJ6Iq8Gnbrl27xOv1yhe/+EUpKyuT3Nxcufbaa0d4rx+SjquqqkK+63K55JRTTlH/t3r1aqmoqJBbbrnl07/4IzBvbL5q06liEkQqHDyTE5WGJCN+l7votfX681M9egJgqJEv4MkBa8HoQnh1Y6P+jzPS9XEuuqxtnZ2oJ7YgdugxBgLEsHQ6FuhtEAlnCVBO4CmYVLl5MFHwTSiM4I/Tff7PWr0AFLu1g8bCDFOQvOXBompWN6OiATN7WVmLzuQkVEOiZFU3FllzISyFXu3CZL2osioX7W/V2mFblKodmxnQajWz8dtBz2ASChcybrvrgKCTV+7G897faSLs+oHtghRbiU9fdyQ2B+Q0Xp6rUdDXa3UJ2EWZdSN/14OD6gfqSb5sHZwqasRuRYU58pI3tFi/l48QOKtVER2cgrFFZY+qLv3861CBzIwkHS65rhE88W0tSKhy6uMJuFbqhppV3k5L15GkGIStKYd3Sc7o3E2R0PKkoRJl1rW9Uq+fzwXZGmFnyV7+lhsoKZHJcZg/kgwaGsPzBBbWYSPDKmx52Mg0oWIc5bDMtWmcMzxVgBvyUEWbsWPDcmQKAZ+2r3uopPrc3Fz51a9+Nep3rrvuuhD915NPPvmQOUkfWmJiovzgBz+QH/zgB0d8rWPecR0YGJB9+/bJuHHj5P/9v/8nTqdTnn/+efnGN74hv/71r5Un/1Fs06ZNcvPNN8sZZ5whp5566qdz0UdpCaIRmqpO/RJSx3VgWC8YJmpG+Sq+4FtBYj8hmQky+vumbqeIiB87X5Mz2wev9pS08FV9GAoubdcOIENP2VhU44zJKioC3h/scJVUQhZN8IjTHXoSDhooa0SEvu5WKDv0DEErVXepZCC5kqFkisgH4q3zMYyZCo7r2jrVFG+s/rECpw5rB/s/+jOh80AU7HdlHtW+PC+o2udnaMeGi/TZ6fr8HYbjUwsqCEu6VkIjlFSCKS4ujOHHh/lMKxACr0RC5Gwf+NZwov0u/YU+oJ7npwZV2yxg4BrQfVIHRzYBKCajAUSiM8FTXteszzfTYznGRKkDiO78E89vLjjtDN834z3hpth0VrkpOpyloYJc/zAqp+HzIY6s4aR1YJ4i19cLBJbO43fX6365t0TfSx/maJMqdF6G/izfd25EKSlGyTHyjilBWNFqje0Sr/7s5qDeaOSBh+rGho4blfXN2nGd7tH9tr7FWteSsflnpHALqAQ1Xfrzk4zkLhaMOB72WUBcx7KNecc1Ojpa1q1bJ1FRURIff3AgT5kyRXbv3i2//OUvP5bj+tJLL8mNN94oJSUlcv/9939al3zUNiycjPTxemRv7oDzab4U8/2ojAMNURoX7MRDK2WM2Db8thkuZkLLXiR2jXNqhzsLThNrthMNZpnGyAjr8x3QBCT6w6mLKAdrXSfBcaVbY6LcfF4pkLv5t1w9yVLejNI8DB0mAjUxFRQ4ITL0vzA1vNbm5hbNicyFlFNGAhYjw8kiB3m+X/fZF3I0NacOziafER16OgAmWjiAyAE5cImQfMk9TLJHF5DIclReM+kZSdH6s9nYeDA8GxOvf6sJziERvMiQkKw1Hui40BhS51jiIh5AsYOFcHxNCg7pOCnx+rufy9J9fACcWJaI3QcVEfKKs4x+5fNihCUO81YKMtwDiKB0IIwd7NPXYvYLUc0UII/caPqhGrBytp7nyO3cigpxpoJJGqpN8bppa6HpfmoaXXRtlCTLNaJclFrj/Ex0f2OLdmz5/jKZi7QW8/mzwhuLPkzGxnNgSL+vJscdhe1s+wzaUTuux4Lr6nA4Qv6vqKhI3njjjY98jieeeELuvvtuOeuss+S+++47pAjuWLU8hLX4whc4R0+oagJ6Qz4leaft2KGHEO7hNDH0bOaRBVF2cUuLXtjOz4DsDyanbCyiSwJ64qQAuslLZChxns4xkRxKb3Xo2awJoeamPj0Jz8b5TAeBuozkyzUAzd3cop9vMugdU9y6X5ghHx1hne/JMt3n3ypG6BjOIfl1g8O6H6qgxclKW9OMWvcT3CyriWIHmCpIUyHnNQtOMp0wt5G0RKTp/Ra9+BNpIlrYhn6gmkIAzqa5SLOQApNxAgiRRoCTnpKikeY9lZoaQDqAqevJanLjkCg2OMya7fqdoeNLp4wlZU1dXzqLTIhMAuJW7NNqKc34PM0VRnN4H8LMdIpYyrgc8wGRxXZEFujQtxpI9ThvUB2LxXV29Ohz7cNmkE736w0agZ0B5LHVcGwrGj3qGO9rMri7Z2bofnm5Vt+3C/KI2VhqTcnCPR0oVoF8iTxQA6bgmbT2E2jQv1WHaN5EIxJBDnsZnj/XqRRUjDTEbkI0Xo+HfdLFBP7V7CM7rosWLTqkk3rNNdccUg7rpZdeOvqrE5Hdu3fLpZdeKv/zP/+jtFm3bt0q48aN+0jnePLJJ+Wuu+6SZcuWya233npME8tss80222yzzTbbPjSbKnB09pEd17lz5x4Xh6+wsFAKCgrkzjvvlBUrVojX65U//OEP8v7778uf//znw36/rKxM7rnnHjn99NPl6quvlsZGKws3Pj5eacGOFWPlLEpQkbdKnpLL2FJWt+oYmRtJSDlAtShp1A+UiyoDVCk4YOzKpwIpzEzU1+KK1QgMUTMiOtXYkecjQ3pckrVDd8fo31rboNEdyidRz5acqgCS0ojIdBi8U+7+9yHMvLudGdGqKd3QLIO8qTjDQAZLITHE8BsRVyozUCasGuhRLhLkTG3HENSz2aPak9z6eXmAVA5S5xXXsqtNo97FRmZ/KZLtKF9GdGcHMsMnu3X4lgheB3jFJtKZg0QeoqAFbsStMXZe3J6r2vPTdPJPCygV+ww0mBx08oLJ5Z7p1XQNN54BEVgWT0gzEqyiMQ4HmjTKzcWZ5WlZeIGC9nxmXQba3x7CYdZj54RkjaifnKLvswaIOt93Kp681WApP1Aj2g+qwHuNOhzDZxSAlNc8f3i+bpVxrRuboQoCGbDdQEWne/RvnQiqkAPobz4Qe7MMK/MjWISFVb1YkILqG46Qoi56fJgJk4/v08cu0FLHISj2xCQdaWo0xlZU1/H1GoflyBxX29e17CM7rvfee++neR2jWmRkpDz88MPy4x//WL7zne9IW1ubTJo0SX7961/L+PHjD/v91atXS39/v6xZs0bWrNH1rZcuXXrc7iucuYZ0aKkXfkpqCA91dHX0fe16uM9BNSu6QAw19g0x5K4nBHJDvYbDwHPHIbmqA+E5Z3/4mu2U3mKNd4cxUVKvdJ6fk6w2hhZpVCWgmbIzMXBcuchWdWrnj1zdHFBD2gbIodT3bYY9/35Af3eqT/ehO4acZ8qd6WtfmKwz3KsQ3jXHxy44Ocnoh00I3zMRiPxLUiJcCPebyX1cREkraIRTNB4yQlz4/lmvr7UIskHm5qEdIVA6zX6fpgpEg9pz5sT9ql1dp99/ciZNvh/vMyZS3ye5nEl4Z6ilS7mzXtybiV10w/nbAm4mFQleqNYO3QI4bNyQPV2pf9tlCCKfGtDXOdWNd+IwBQX4W6S1sKzrRJc17/1+v94cnJPOqm16LNLRJT/z5Trdb6em6k3UOEM2zBmt32fOv3SS2SZlhnQsbmTi+61rpbPPTe/mVr0ZnObW5ybtaAE2aA3duh/ajLH35QLIOIZoZev72tyk3yGzgMFxL0AgNlXgaG3MJ2eJiCQnJ8sPf/jDw34uKytrRE/sQ7vmmmtCKkSMdYsTPRGWturJaZpbv8TUSzTJ/guS9WTxMsj6WQ5MJlqTOEQHlNwwLowmJ+r9oJ7oJrn0dVNzMFRqSRuTliIwaZtVfYgksLzsICYOZpkHoQmejoxp8rXMBYT1wrMTIMwf0PfJMrt00LcFidDq75uL0alpvG4sROiXSS69EaHzmA3HNWNQI3ZDxuedEFKnrmMqEBVyQVmJMRUoN83cnEzzay5mE1BKCrEzEYyOzjwfuaIsV2mhQVyCmODIZKwoFCjorgDPGGOV70mRLzjy994Wjzq2F4hbiKxbgu5zOsWxoq811aOdqC7DedkPlDtExxPv62mpeuxQNooOX4lfb4RKjaHoZ3lZFHk40K7ReVrXoP5tclydcOC7jM3jwpTw43IPZMEoIRiPsbYwGRxoOLoDBk85zxkend2KTP/Q6oX686nIYmuFrNybjZYzeSrULTgu/ZhruuHYTvHo58/xko51rNa4FkZzKjr1+52OTfAsVJAzN5cREccfu7SpAkdnnwnH9V/NeoVlVMPvztrgAJghGC4Gp6XpiWkbnGJKLTHzNxJz9toGfb7TUi2UhaVL96AiVFESBekhKo1raYFcTjHC2MlGotA4j3a4Xq7WVbsorcVw/Xy/ngj/UqUnyrPSEQYzpJ/oBBFpjobDTdrCjjaggy4+I8jlGI4Sk85q0EfZfCYQ2i9GyJzSTQ4kBrY2Wos0S7hyI0I5HOoPP75dO0I3Tw2q9gCcMIaaTaPzRytDEhJpKJu0PKZ8KV87DD6jX7YE9XezQR1gpaxISHW4U3U/dOOZxYTQHqzx4MJmIQ8bUZZdrUBSixeoeADPf0edThQzNwBravVvXZwNVRA4IkzGqsFmkXqmVH4Y57DuJc1BCSn0KRzbXkSOWCa7DAULWM3K3OhQw5mOJukYTEIkOsixmJXIzaR1fn6X4/yJCt3n1xTqPidCWwtHlbSzae7Rq6Gxz5nouRcOfBY2rvsaPKq9KF2/dIUG9YtFPRISRn8nRETq8Q7t7zLpNZESPi3QtrFutuNqm2222WabbbbZdoxsDAgbfKbNdlzHoMXgsTDB4nBVf5KHLbTg2QN6b3lmmkYSJrjII9NIBEPHlET5XKZGWczwEbUwc4FEucC3c2N3f0JUvWoHu/R9/r5co6hfKTJQESRAzETVpXebyWFE7XOE5K4p0vdJeZbdRuLQB60aeSjx6nNT5oli2rmJ+twN4Ho6gOCafD0HUOspKApAYXUzoU1EpAkITGyD7qcUhI73NlpJK0EgLslx4TmsRNhXzNTlS11JGons6tIoSp1RKtUF9JX86D3g8hKJJF3j3ExWStPX6jdQtMFhhrzBvwNiHhGj+yEK8M+eoObnMUnNvJZevGNTkABHrjd1fT2xenx0AamKRhGJGIPk+vlM/Y40AlFPB0IewLURPfwAslFRSAbOMKqC1YfhWh/KtrXpz08GRSYfesWtKDLw7AGrH89M0332cp0eaxdk6XeEldE68Z5MNqgfIqFzl/lM1iBydHqG5on+ZKY+dwWK1+zuGF3zW0QkLX50CtUUV3hJsf0o8pGVoN8ZltkuQTifZtJYXqzVqDSLlQTxvFbX6H6Y7bf6IYJ8ieNgpEnY9vHMdlzHoMVF6MdyuCGeiypOJh9vvl+HVOqhIToONduZEU1uHxMqWB2pzUj2oHNA2kIUFi5yj+oQQmO4aElAT16NhsA5E7e2tWruF7NOeZ8MwTniGAbXxxt6rWsL9iEBDvMkyxGSWkCt3C3QXpzgZjUza9I+JUU7XD/bph2Xu2fr+/YhLFkOzdBEOIC+wdE5duNBzxjAfbX2kcvJuugoZoEF3AGdyAmRFq/1nepUdYw8Uzr7ITzUyPApGxwf5qYs10HnDgkzWJ+jsXB21KIsM66NnMn5KZYaRyCW/HZIEyKDmjzE3e2anjEFWqura/V7c0KyNV8kwyHjxoV8SYbMaQzfV2Cj4jeSGKmWUQCFEfIvWemuBZv9P+zX93lehn4vLsyyvv+zUn1fXy7UfbquWZ+rxKPfmTpsDqhK0Atll17jXhem6OdDi0MfssR3EBu0JGgKM5nLLNK4H+VhfaCw1OnbkOIkfTwa74UX993SrZ/JswessbkIdBpuVCqROJbt0Pdhls2NCp9n+6nbsBwZ4nr83e2xY7bjOgYtBqS4xl7d7hjQLzgHtMkdpKwPuZ3NcCa4fBMVoUQVHUJzgQ/N3EVNb/x2DCrnxEXqzx/oC89MMhOymB07BUghEwfKUF+elZiYSOKHkLuZ/FUEhTXKyJR36XO5sHjweTpimKyjj2cafC86D8snhHds6DymwOEvTNVJTw6f7tcisY6vKctUx07J1PVlJ+GZNIBvWQ1EvRSSVSciC9ksEZyFDPYOJM9xLDLRj0mGfAYbW/RDjTeQy8Ze/XzyEFlAon+IxaHKFx1Vbi7dxr1GcROEcc1Sxcyen5+hnxH5tOdlaL6miWzFoQ/pJNG2GAi5SKjcFdVRYoEO7+mw3v9ZPr1JYp37slYdKaDDngAEfbJb/1YVytFON3ir358efgOenqCdXqLi5Jmy+lXXgJ7nTIe/Au9IOjZ3dOjZp+TT90JacX2zvtYtrdaGoMih5/qzUNzgnHTtoNMJ5jNIxDu3sUGrTpyTbs1dVGIgN58Rk57BsY1o2slZR2djQRnCNttss80222yzzTbbDms24joGLT5S73qp40pLIi/VQPgeL9O72ivydUilsVf/FsOUTaAWBMFTIoJrlsLMQCgoluFZtMubNceNOoF5yFImTcFl7OiZwUzZn16goF5kzxOpIMKaBPTgtEBw5O+19R51jH2WC4SN3LCtLSgSAV1XUg1+X2Gdb3ayRmQmuxDiBlJBrdU4nDsOfFxau5GNPT9VZwVTruyl/Vqrax7CnsxwJx+Pz/Q9Qxc2JQQx1fdd0wPUC8LtVNN4P8hSmhhrxjuXlaCPbQrqZ3AyENcISFhEoijIFGT2J4POETSkgLZCG3cKMtqZLc/nG9Ot2xmge2TjfOv2Wqh6DiSoJuP5dyIkzrmlHLzjniHdUQ0IPZe3W30+PgmRgzByZSKhPGFKdTErvRnlqhuMMHYh+ohRjGrwihm1YgQm2KfR3UKUlDXnLqolNIPKQ/kzlpeeirFFmtIkt37HCpxWpCEec30Ac6APSDNLABMVT4RqxKk5NardbqDe1R0a7X27keuWakpZuz73NI/VL2MB7BwL1/BZNttxHYMWi4WtyKkX9BwkEiRjwjBDT7OghdiOMkxp8XrBj4sMz9drhhN23e4/qPZ9BZeO/N0zqH+b1amobxiukIKIdshFRAoCegExk3dYZYmJQUkIibZCasuHGt43bNIL4SML9KTtNhxbVpf6axX4eDkMU+vf2h+r+zgFVX0oIn5mhnXf7zXrY6lx+rcpMcRFNQBB8gbUUfd59eYhaCycfoxDOi55Dt1nlNPJcOpFdTEkiWiT3da17GjTY43Pk1w+bhZSwGHe2qLvZb6f1APr86yqxWTK4fDDWgZ69LUWpmt6xhDCnm/usRJ0CljpCNcyA47n/k7dT7Gg4wzAYYvE+PAZY4/Prx9zw26E6+lcVnZhQxat2wVO/duTDW43OY6JoucSzmuUoKPeKeXwmMT20C6rX74/TTuLpE+VgZvLjSb7gXStXMxzJn0jCtdFugVpCBnoB/42wQEfNvCm1NfGFn2d8/zQusV97AEVaDoAlt4eVGnE+DET0VjM4MQU0FTQx3P9+j63GxKDfRIhevt+jG348Hzv0b5n20GzHdcxaANDRDHDV3nZD7FtU2dwLjiJLOlaBcI9J7pyLPD7td8i/1V0iWr3hUGHyTuq7tbn3tuhr+XMNO2gk2caIp5uIHZE7xLgFFMzkoUWysC3vWuadqr6MOGbmcKNQDkW6ETgkCSFbPAzE6P1wvdmg77vFFQ/8xuLzbxkOIPIcCfi9kK1RkVOTYXeJRCe5GTdD1lea/OwuUYnSGUyIQZjj/xrOl25/qBqb63VHZliIPoF2Mytb+aGDWLnKArgh+D8t4v15z1x2pE1kxDpDByO6zmM5KxoOrr4eqxf/8dZUjny9yv7NK94vEs/H1bpdmHDRhSsG05XPXjGc1Isp5rJlEQe0xBxoaV2QoUCTlOeQ/e5iaLT2eOGi0ZkkQ59SHlpFLCY5LX6JSJC/xbVUWaCT8/NYTv6iah4FRLmzOjQy/X6s5mg/ZdjfnZEEwRhSW/9+U7Mg+bckufQH2aVtRiMpXGYI9kPL1dkqPZUPBPTWeU7NoDrzkRUgsm1PuNaVwePvxiV7YMendmOq2222WabbbbZZtsxsGE5suQs29m1zHZcx6D1DOodIcuVEh1gu8UI97Ug/MLKSiyFua1VI41toDju79AoyqmpegilG7XumZlf7NK/TaTi9MMgcJuh81gAdMjMkK+ArBczsxOAWsegjGo0OFMO6J8yE9gMwZq1xUVCZZ7WNWuYZL5Pf54lY09ORXhQX5rcsqdq5O8bc/LUsYZefZ18/qzKtblVX+sleUHVjnUglGg8s3w3+JUIFRdAM5aIOSWMaFOgKtBqcD2HwfULYtyemqKfP0PHA3jHOH48GKu+OKsfyZ+khNQFGEvDCEvUVWqErQN6qAUJmjsaY9AaZqVoWgElqH60VSOm147X95Hi1s/E4UZFOAfL+Fp/r9mVrY4xbD07VevyklpAnU9+nzJRBwx5PJZ8DaGdgLYyBM4z0f4EPF+Gcuf6rM9zXiKFiSFy8q+T4/Q7ONuv29UhGrXW+ef4dJ/xPpyYuJpA/eAbRtrR3g79eY+haMLfIsLq9uo+j0XUi9qlZ0Fbuw8Rme3Ge8FysZy/OT/vRTniw0VBjrWNrav57JntuI5BG8LeqhwOGiWLGJKtMZIDKJfCnV4lzp2OUnoMRU1I0p+PRQ3YVkOG6M0GPby+mK8naAeujbIyHZDaciPM2Y/FqtlIoCBX64/7dYjtqkI9EVKIn7QEltVNRcnJAuPaO1D3nI5oEZKtfleuP39KQDUlGVxgJuPdMy5r5O+aHujR4nmzPGUuHNneIciCcZPUhbKrRgLVu/V+dSwL547Eb8dhYavAYsMSsnToTJ4j7+vi7KBqMwGGgvTkIaaDMkP5tNcarHdsYbIeC5QcIsc1Ml73YWqGDi07gvo+y/fpfjXDoKXoswDeqW8U6WsxJaVERHJc+rfcAe0sRsKx6Wy2+pGJYE3QRmXCE6kEu1HM5Oz0oGonQffZaWxOGPrf2ar7gYVUnBhLOzv13FKE9//HO/S93DLFOu6BQ81x3DOo72tLq3ZkKRPFsUdNWnPu+Vu13rzP8uo+4sbUHaOvZTfoWFNc+trru/UzOyXFGk+kW3ViQ+4W7bi+UZmu2mlI5ipO0xuyeCSCzg9YGx8menlwriZowHKdcxrjYWwLZdn2Ucx2XG2zzTbbbLPNNtuOkTHaZNvHM9txHYPWM6R3wW/U6T3ihCT92EhcrzfCw7lI/KGANUNFRHNZNOCPqDCzIFmjR3+tsq7lvCz93QaEMTv6wydYbIA8VgKQCSJy2YYoOWkIKXEQu0fyBcuubg7qz2dDKYBhzJZeq193tYcvlEDprQuyIZczQDKANkrevGugYAuTNerRj7GRDkmxHS0e1Z6FMoxMwKip08+k0kgMnAs5pD6EVPci6WQiZH+mBHRouR0i8Az3ZhnhwxiMhQMo6ctkHpPSIhJa2jQTiDpL4QbirZWnEu8Uk+2YICVR+vnF6Zw2aUS5yh9v96j2eZnWvRYDneNcQER2ogvRGVSn8wRx36gC9Y6BqrPABFEuIqwtoHMUgHbixFhjlrmpgPDtrRrt/fEkPS7ZD0Q9T0wOqjbnmlumaMWSrGSr7fCNTp8QEcno0e9QK4phMGztBDrsSiStxfq8J1aPa6qlVCCZdqJLP08f+pjfvyxX/zZLSJuWlqyfQUyifp6kipQ26wIUlY26zylR1mn029p6fd+zQa9i4ifLy6Yb83XI+3jMLSJkLvuo37PtoNmOq2222WabbbbZZtsxMhtxPTqzHdcxaN2id/RLUjQqkhCld5uUUzGlXoiYcVdLDqMT2plBoCSnp4XXAT01zfp8WSclTPRwOz9TC9A7gZKeiHKjJPdXQ6vVFEtPAIKahPsiCkLkYZJL9/E4oIPkd5m8tRNw3TXQzmTiTwAc1jgIfVdTsgxcsOke696agTyUJOs+9vs0GuRNgswTyo3uQ0IcEfhJBspKeaQ9jbqEI7m++4EGJgMV9UHi5v1GjdjkGQUMODZYB92B94DJN+Rj9oeg2hpFn2YkMTE5i8mSQ0gUG2pHIslG3cfkdl5ViEhEizXuZ6GGuwPJVH5ISrGIA2WDOlD6uBzPyGPwOfldaowy2S4VCVMcSyHlpBENMDWlfzhBv39xUeGfbz70i5Mw15yTVx32+x2GPF4k3k+Oe46lFCRjBZxMUsRYRD8mGrzlM6Hxy8SwdvDrWaQlDomC1Yhq5GK8mJErzmNELtmOjg6fgvTHSj3u+/HxBENcdwES2ChXyKIOlGU0SxUf73Krw3JkyVm2r2uZ7biOQWuL1GGq/mG9YDMRhRWITGNCC8P1dT3aWZjh1c7FB63hQ+YUvDaTWmIi9fCiqDcdE1ZS2dygk1LyIFAfUpHGELz/W5XW/FyShgkfi2QnwtqNfaiclKbDXsnpevHJ7A2O/N3Wqp2D3Ugc2disf3u2jyLgUDyI1J9/pU4/0/MyrH6sg+g/Nx7ewfB6l5UI5++EI3MaEiqcLstx6mjTn+WimAlnshZjcWubR7XPSNfPd0lRlWqbDsPGcp0IEmAxBCTbcUGvQXJHDqgCE1163KcZ56dTvLnJo9pD/XpFH+6FDi/E1asbdViUtJQFxringzUAmgmdy9s367H5wxL9TjUgI56VmuqMymt0uAJ+TVuobtD30dijf/uf9fq3Tg/o87kRQjfDwbuQZDbeqd9XZsCva9ZjLd+lP+9L1O/z/jo9525ospysrGbdJzWYQ88uOKDa45L08+vG5z9AUmPegH4mjQataQLmoR6ca+sB3eekraxt0CDICX79nnBO9RiOrAdO7e4D+rqLc7TqRw2Sa0s79DOgJaAKRIwxlPehyhp1XCFXK7O9+p3yxln9ENV2/F3A4+08f9YtPJnONttss80222yzzTbbxojZiOsYtE7RCGpNV55qt7qAZAJVMzUpd7ZrVIOlEBt79d6FSMXClKBqv4fQcbiqQUGU3UxBUpLDqcM/CW59bbP66lX7nQNaJ2qaX/eTy9BqPSdL7/5fqUlW7UKUHyVylQRKBS3aqfupr8tCcGoPU242B/UGmazVBhoDqQQFmaNrORKtZVJDEhC0ToTnexFymwzKBGXBAoOj732LUMv+7SY9dhYBvZ2ZrPuB2px1TSg/m2ShKr44ynrp77ajTxkpYDSgrjt8gp0ZQmWouB3oPW0YcFEToho/3Krv81vFGjUzUbF9Qd2na+r0dV+eq9+Rmyfr589owDASQBjmXpxrhdQTnRhL7Xoeeni3pooMAma6ICt8Za09oK3EG8+IoWBSZBx4f/ORCEa0mOVHyUE0Jek4R24J6nfgDIatcW1BJPPNy6tR7S5IFJrvXGOrnjxIr5oDXV++ryatSESkCe//pqC+tssMWgND/+OzNfrbj4qBVaCluPD9gEf3I+WyTOoI6RftkKcjgmkirAe/L2PKbMD16MxGXG2zzTbbbLPNNtuOkQ0Nf/x/n7QNDg7KtGnTpLi4WP178MEHRz5TVVUlV199tZSUlMjChQvlgQcekMHB8KDO22+/LRdeeKFMnz5dzjrrLHn++efV8d7eXlmxYoUsWLBAZs6cKTfccIM0NzePcrZDm424jkFr6S9TbWfMTNU+gGSdD1DtaKaxq85GrfpEIBHz/RrlJILKhAkKXJeDJB8dYaFNGxqRyOPRSFQ/eKRJDn0tjiT9WzOSmZigv99pIBUJ4MflIKFpF9Ac1hffCmRjErhkrm69o29qtj7/Brh9m5p0P5wc0LNQDdCeJCATfGZEF1fXWHw8ysTsBp+rB0hFEElmKfH6vpId4Tmx5jPcXKdRbVYIOhlc7Hgka1Fk3A0Ehvy7BuMZrWvSfT4HfEvK+nShHyqAcjX16fdgthcSRUZiEcchC2VEJSCZJw6cV7xz3xyv79uLfjATD7347auActcioaYT950MxG5wGMURwEOPNap29WIeamzT78zlufpaiHrxHStyotY9qt2ZRSNAhwxBQQPoswke3X4fPOTTUICASa2ltda9FumAinwpP6ivBbJ9rD7GSBMjCW7wUuOMsdYCXngZkufI/SSC3g6ZKCLT52Xq/Io9RoKcC33CaIs3Rc8VxW79DlZAes2L8/nASx8wxnYsEvkaERFhRKUN81qtURyjfyhS9NFja8NyZKoCn7TvWl5eLr29vfLss8+K32/xlRMTD84Z/f39ctVVV0leXp489dRTsn//frn11lslMjJSli9ffshz7t27V66++mq58sorZeXKlfLqq6/KTTfdJD6fTxYsWCAiInfccYds2LBBHnzwQYmNjZXbb79dli9fLk888cRHvnbbcbXNNttss80222w7RjYWSr6WlpaK0+mUCRMmHPL46tWrpbq6Wv7whz+I2+2W8ePHS1NTk/zoRz+Sa665RmJjQ93/xx57TIqLi+X6668XEZHCwkLZvn27PProo7JgwQKpq6uTZ555Rh5++GGZPXu2iIisWrVKzjrrLHnvvfdk5syZIec8lNmO6xi09h6dlZqIlMlOaEL7YsHPM7hGrD19YrLe7bOWvTNa7+i3BPXx2T6iYED0jF34Ep3oLflA71gXPQLvwbt7MlU7D2LrpUGNspndVAz5KgrKE4GLBUrCkrGU+hkeBJJhcMnGg/s32QX1A6BkLAHZcZgCBORvzvdbaJEPSNN/TNUi4eRjNrBUIhAa1h/v7tTjoc6QZpqKAgT1QOBaWSIS2fIslZkwAGF2l/68GQ04IUUjRbRnqvRYyQQK6ojW7Wwcp+RVnYEeNYFjzhKekbrLJMqvPz9udlC1Mw7oe+lohRKIka1NuSsWfSBKTUSdigi7W3U/tYNDO874+7VajbCzfHAqni8R9tmoNx8XHR5V6zEOp8Tp+2pC9KahT8Oi52Tqfjq9UCtUxMTp3x7AOzrJZb3TcehTSmu9VJ6h2mePr1TtIcwdRBNpZvTo4d36eZyToZ/f2036HZvrA0qKksAcD3F4RjkGgk9nKzlTI+qxfvCj2/XxA0D/ibDSXqm1ONKnZ2g+rQtcfbaD4PaaBUbGAt11LKgKlJaWSmFh4ajHN2zYIJMnTxa32xpz8+fPl46ODtmxY4dMnz79kN9ZsmSJ+r/58+fL3XffLcPDw7Jx48aR//vQ8vPzJRAIyPr16z+y42pzXG2zzTbbbLPNNtv+hWzXrl0yMDAgV111lZx44oly4YUXyrPPPjtyvLa2VtLS0tR3UlMPlvmrqdEJhYf7Tnd3t7S0tEhdXZ14vV6Ji4sL+Uxtbe1HvvYxj7gGg0FZtWqVvPrqq9LR0SHFxcVyww03jMDMV155pbz11lvqO3PnzpXHH398pP3LX/5SnnzySWloaJBx48bJTTfdpDz+sWYpzsmqTf5WWjw5kEQLrV12fKTeeXKncriSsEkxEMMGOuDDTresM8H4rL6uDOiwJmToc0d5NDS1sEQjFdu36dqYLH1qogl7gBT1AtUkt68HSBV3xNFAgyIgQm6WhOyt0+faAeQxz8HsWX1tPYP6mXXjPg906/M9s9/q59umaYTFCXSI6gkUge8EVyyKzx9ost84XxMULNpR8nM8Mp5jwAWtqNZjj2hhUz0KbeRbEx1RrJoG/fxzEvV9sIhDEJnfRKZZ1rXZUMygWkYWkMdIh762iHj9W9014JlCjSMW5/cYSGYlVAHYZ+Qwx+GdZCSB88Mbjfr7jmhr7J0U0Ag7+dNOzA3VHRoFTQC6547W/daFd7LIGHvksJLLyXMnAml8r0orlJRko3wtxpOpKZuK0tS8r/mIPFCxYH21nsdmp2sFFL4Xr5db/MNrijQa7wGqXewJP47Jp36lRmuxTnFrFNScs6uh8ZwXF1TtKJ9+391Z+hnF1+qxFzIegMCfYMypLAiyq416tfqZ1IEL7DXUVtgnx8OO9Apqampk8eLFox5/+eWXP/K5du/eLUNDQ7J8+XJJS0uTtWvXys033yz9/f1y8cUXS09Pj7hcup8/dDh7e3sPdUrp6ekJoRB82O7r65Pu7u5DUgzi4uJGPeehbMw7rt/97neloaFBVq1aJX6/Xx5//HG56qqr5Omnn5aCggIpLS2VO+64Q8HTMTHWC/TQQw/JL37xC7n77rtl0qRJ8tvf/lauvfZaee655yQ7O/t43JJtttlmm2222favaMPHnuP68MMPyyOPPDLSPv/88+Vvf/ubDA4OisNxcDM6YcIEqa6ull/+8pdy8cUXS3x8vPT16Q3fh87lhwlctLi4uJDvfNhOSEg45Dk/PG9CQngJQtPGtONaUVEhb775pjz55JMya9YsERH5z//8T3n99dflr3/9q1xxxRXS1NQk06dPl5SUlJDvd3V1yS9+8Qu58cYb5ZxzzhERkVtvvVU2bNggGzduHLOOqzNS78jJaXUhYz4BKEpspLVjz3d2j3pMJFQfLws78pQ4lK/E8S3IDB5vZAKvbdCDu9ith9tgOxBXv/6tSMhhvteid38srWreyyDUEKiOwKxToreTPJobGg+ErqFKowVOQwEhLzmojsUB1Xy6SlflocYkecPUqEwHevSNIuuZsNTtP6p02OZUVN5hlnlJlkaeomL12NqxTyNVZrWcdlTKWl2rn3+BV6NFcfF6HC9M17q97UBNMlCByETFiGqVAoks8UFlAP1UhYznjS0aYSWPvMDIFGcUYj9K+i5M1AM5Ig46zF7dx++8rbnd88ZrznuCwYFO7AZqCSTSGcJh1f3iitHvcw6iIp+P0yhapsfqxyigu/tq9RxciD7O8+jnv7vZo9osP50DhYROA8Fvg/5oEn6rHcez8f5OA8rZjqpO5LialdYYASO/0ufVCgW1qIQ2zqXvi3MLK46VGKWsA25UDwQ6242chNYejGPwSougcBCinWugoHtx7ATC89H4D3hn1FbdD8S1BfOcGTks9ur52Id17UAQygxYI8cCp/RDG5bQCMFH/V56evrHQlU/tMsuu0zOPvvskbbT6ZT4+PiQz40fP16ee+45ERFJS0uTXbt2qeP19Qfn6EAgEPJd+b/r+/Az5ncSExMlKSlJ0tLSJBgMSl9fn0Je6+vrRz3noWxMc1y9Xq/8/Oc/l6lTp478X0REhEREREhbW5uUlpZKRESE5OfnH/L7GzdulO7ubjn33HNH/i8qKkqee+45ueCCCz7ty7fNNttss80222xTdqx1XD0ej+Tm5o78i4mJkblz58pf/vIX9bkPPvhAioqKRERkzpw5sn37dunosDZL77zzjjgcjlGVCGbPni3vvvuu+r933nlHSkpKJDIyUmbNmiVDQ0MjSVoiImVlZVJXVydz5sz5yPczphFXl8slp5xyivq/1atXS0VFhdxyyy2ya9cuSUpKkjvvvFPefPNNSUxMlLPOOku++c1vSmxsrJSVlYnb7ZbS0lJ54IEHpLy8XMaNGyfXX3+9lJSUHKe7Ory5hnTFmQjszliXmZqkBQaH8kC3Rhap60ruZxAcR74wNT2srAS0wdDuvDhb77CJ0NCGAC3X7dM78lOAFlI/M8FAPiLQR+SouqCmsLZGo0XFPq05GpuAql+D4CUaKBh1HH3QwjwtVaM7RDLG4fNJQM0iwZDqMfqBHLZz8qpVuw86jtSEjQJfOloDkTJ1kkZku4PWeCFKdUW+RsSJoPZirB0A6lnWqftlCnSAywweM++jtF0/3xRwmjOBqLPfqvDeMNJgIvTMMmcVrhCL1fcR7ddtIqzkGZsVjMhx5H2806DR/RKfvm9GItKATEfH6HsbMPi3TYi2EAWhlnIsqrrxmTVDnaFnUCP2rhjrGZa267GRmaD7kBxYqgZEA6ncgvffBQTXtJ3gz0/x63HOuScX1cuGMQ021el+7A7hClvX0tWjx2VvR/hIA7VzibiyyhsrK5qcaWp4R8B7GO7Vfdq0X4d+97Xr+ZzvSTzyBlKMsd2D+To+Tl/ntlZ97lRUGyT3+3jbETmin6Acgsvlkvnz58tPfvIT8fv9kpubK//4xz/kueeeG6EULFmyRB544AH5zne+IzfeeKNUVVXJqlWr5Ktf/eoIWtrZ2SldXV0jEe9ly5bJ0qVL5f7775elS5fK2rVr5cUXX5RHH31URA4iteeee67cdtttcs8990hCQoLcfvvtMnfuXJkxY8ZHvv4xjbjSNm3aJDfffLOcccYZcuqpp8quXbukt7dXpk2bJo8++qhce+218sc//lFuu+02ERHp6OiQnp4e+f73vy9XXnml/OIXv5C8vDz58pe/LHv37j3Od2ObbbbZZpttttl27O2ee+6Rc845R26//XY5//zz5YUXXpCf/vSnctJJJ4nIQb7qo48+KkNDQ3LJJZfIihUr5PLLL5dvfvObI+f41a9+JQsXLhxpFxUVyUMPPSRr166VCy64QP74xz/KypUrR4oPiIjcddddsmDBAvnWt74lV111lRQUFMhPf/rTj3XtEcPDR1LD4djbSy+9JDfeeKOUlJTI//zP/0hcXJwMDAxIZ2en0hl74YUX5Prrr5c333xT/vKXv8iPf/xj+fnPfz6C3A4PD8v5558vc+bMkdtvv/2IrmXx4sWyb1+ZlJdXHv7DR2CzPV9X7UvTNU8xE9xAVurpMtCgJvCGuKPuA+KyvU3vbJt79fAY79LtcciQzzD0Uuuhw+gFwjKpRPPMotx699+2Q28xy2s0elSD80cb3LM6IBMzfEHVJjLF7OokIDaDQKapKdrYYqEmu4DI5Do0562yUyMsrIwVQIYsbROq/gQNFHW6W/+WE8gRUbD1DRrdZz8VTdIZ0kPg1Q8YCHwPNF5jMU4ra/R1094H57GyOzy6Ty6wOgYeYqZT9wurEzW062fy8C79DOu6dT+elWndaxY4itl43lPP0ShnZCYUL9br96Bxnx7X5Gt3GeiTN0kjaG1A77uBarf06uNUtJiMqMYguN/b6q0sdD/e53/U6vtamqPPRdSavOJ4RCrikWVuIo+7oDdLI++YqgEJHj2WejjvtehrqzL4mKwWOBMo9lbwLc+bVKHa0eCNtzRqZLkL6GKXwddtAGe1A4hpLvSq4zG30KgiQgTeVKUgannqiXr9i07R1920QT/v01/R7+TK8Xpdy4FOd1mYZzwJVRS7wGnejDnSZ6D9K1r/LgkZviPiih6tLV68WFoqg3LO0AUf+7svRD4j3mzPcbnusWafCcT1iSeekOuuu05OO+00efjhh0ckGaKjo5XTKiIj/AxTT6y4uHjkeEREhBQWFkpVlRagts0222yzzTbbbPs0bViOjOP6mUAYj5GNaY6riMiTTz4pd911lyxbtkxuvfVWiTAIRMuWLZOsrCz54Q9/OPJ/H3zwgcTExEheXp74fD6JiIiQ999/X8466ywROYi47tmzR0HXY81ihvXusR/0nI0t+rGdkIxqSEblrMcr9c70P8ZrNIBVmrLA5SzxaNSDnKh9QB+SjUosRHNYzaQ/CO4uKq9EgV/HjGlWWnq7yUJF5vl09u1O7N73dervnpOh+ykI3c7qLo2KpHRpxK7WQH+JsJK7Z1Y2ExFp7dD9shjZt6WoR06OM3nLpgX79G+zyg8RVtaq70flteZ63Q9m9RxHjD53N1CsgkKN3vaBn0fUOwBEjghfn1FB7NV6zXHLSkB1IyDPHUBoKlDV54x0Pe7ZL+4Y61rSwBt0oo/JaWX2dVSSblOdwQkViUSD39fSrtHZOqD5ybi2J8v155dPBA8ZvGJWryoyKtI1oM/Y50RYB4De9gLd2wHe6mmpmhtqRj26MG/looIY0cEhzEV1lXo+YHZ+HCITqUY/1nSH6lCadhLUMarrNLjCsZfj12oLfkTFqg9YKjOs4NaM93uaX78jCeCCboLyw0RUGBzEMzO1mImIRyZAnzhGPxPyiL+cppOo0xL12GM0yFRvoN50dRv4sjg+HsoNnAePtw3bbuhR2Zh2XMvKyuSee+6R008/Xa6++mppbLRCT/Hx8XLmmWfKPffcI9OmTZOFCxfKBx98ID/60Y/kqquuEqfTKU6nUy666CL5wQ9+IAkJCZKTkyOPP/64VFVVyeWXX34c78w222yzzTbbbPtXtLEkz/VZtDHtuK5evVr6+/tlzZo1smbNGnVs6dKlcu+990pERIQ8/vjjcs8990hKSop85StfkW984xsjn7vjjjvkZz/7mdx2223S2toqkyZNkl/96ldSUFBwrG/HNttss80222z7Fzfbbz06G9OO6zXXXCPXXHNN2M988YtflC9+8YujHo+JiZHrr79err/++k/68j41SxAd1iht1SGaRWksX6nDZIF4K2RzY7wOidVBqL3QqcPSDMn0Iry3v1uHuZJRjpLhQdNSIN0Tl44PQLulo1X3A+Wv9iOseX6WleTCcBx3uLO9us+YxMBQYR1Cpi6Eg7sMCZtafJbhvXwktLHUYRlC5Bnot1iE7BoMmal9nfq3TwzoBBlHQviyekxyiEZ54UCBDsE17bfCxQy37q7TiV+TY3UIlVaD0DP7jSVk042Eq4kuPVbW1kOAHkUAmITyQav+/KJUTffowdgz5Zg44qtAK8nr1JJkEqXPFZmk30kXEsfqIHGUaoRBSSPYhgQ3hsz/vViH35no97mp5aqd7QrKaDawS9/HONApKH+3vlEnV05x62ScJJRp3RLUc9fsZOvaGbZuRkERJ95nUgUSQa8hRSIIeo/LoKmQlvCXSn1f35yq74vvRRsoU72gDkVH62sbbyQiVWMspMeTAqPPzdB/FhI/WYDGhfWgz6CGlaNggDDvC/N3TLz+gBvULxeoXxGgCvUb156HpLMaUGIqMO8F8F68VGcd746KlI9eo8m2sWhj2nG1zTbbbLPNNtts+/+T2VSBozPbcR0DFhmpd/dDCCQ4SXqP0DtZCl6nOSxExhuvd9AtkFNJOcwOnMke6ZA44gtoEuyzgFomEe3Djj0iSt+IN10jG/WlSMABMpXst+7bB4SFpS87gd5RnjoBiMxMyOlEAvGJMPqtAYgb0b0YlN1NBNLkjNavZTIKElAKpMO4l3oUiOiFmHlvu26/UqtR0WUz9ql2bIZG1YY6UZ7WQJO6gcY78Px3VyWrdlGWRoMLUBKURgmzijYLkSuClM4Ej34+iXj+LIawULS1o99Cynwa6NH7Qf1OMRfrbGbTAZkaHtTnjgEylZ+pk9piEq3jwTqNHVHOjpJh0UBBzx6vJY0Ss/TnI+Lx/Nut553k0O/fmmr9fE9FMt2cZI32EpFNceq5qCgZhR0MUfliSoThefUhUkTRRyfksJwefa3+bn3fG8qt8BCLU5we0FGISPS5ww0ENUGP+w4kpf36g1zVvijPmnsOdOnn3dyH5yN67lnXpMf5dI9+D3KHPrqwEJNtB7tQshuLQQRO3dAbvnw4x9PUVGvcx8UyWVJ/l0Vcgv2MoFhz6Nrg8S9G8NkQIR27Zjuuttlmm2222WabbcfAhiUUKPmo37PtoNmOq2222WabbbbZZtuxsOEjpArYnuuI2Y7rGLChIR2mGsZ+DJFE6UXI5oOgDqHPMZJ9WKs6FmFqhpIZctvTrkNP2QjPp6MiUbwR9n69JlUdm41QYWelDoEnufWNtjfoMJcfoURXvw6TJaZavz0MGsLOAzrExjB2H/Rpa5p0YkhI3XWE900jPaMdCROsCFQLagE1RxsRHuQz7TKuvQFsjGgk2/Fci9NRGWuQqUYI/8VAazfaGqvNOHcHwnVTcnRyVgwSvxi+9zqhzYmEm6whQ0MWNJQIhPY7u8PrOHqRbFfeoZ8Jkz3MRKKsBB0C5fMbbNPPm8HZqFRNx+nqgp4lknd8Lus9cLr1fS9G2JoJjO+36OQe0jVoTZv1byckjb56dg4guRKJfkwq3N2i9U1n+PX84IzR75GZYOVBgtRQhx57YDhIdYt+n93dut+YlBTv0M8wJ8nq1wjR820qEodYvaynBwmPGMcVSEI7P1s/kxojWdMHyksmaESp0JCeptkb0o138u16TRVKCEkMHT2ZM5JytoP6+Q706vEwzqnH9T5UGJzu1L/l8Vv39o+tmj4xM1nPW4kYW0zsNNujpw8fO7OpAkdnn4nKWbbZZpttttlmm2222WYjrrbZZpttttlmm23HyI5/ethn22zHdQxaIEaHa3J0UzIYtkRo8vcV/pG/T0jWIbC9HTpk6kEGM/URe0BLWN+sQ6inIGRuZjyPQ2i/BzSEhAAy86P0cU+ODh3VlOowl9erzz9gNKMQGR6fpkNLAwPMOtb3uatBh9Dice3UfTWVA+JAx2DIPBLh9w/adGixa0C3J7p0H/tj9fPPMJQhzkyjuKK26UW1qj3Yj7K8eL6OBh167oA+6saKtJG/a3p07HC2P6jaLOErzHjH2NvTpPUxvchSNzVK45EdvR+h4epu3af379Ph2Psm6uOtoKEUu/Rvm+VpY0HHYLZ8iHUiBN6uz+1L1cerqjyqHd9kve+DGMcujI1JKMOb7NKh5Mgo/Qw6KlDyF/0Q02vdaww0nB3R+lyN0EJNxvMj5WlLs37eCa1QsDDoHwFoV1M7eXKqft+jMLb6QQ2iEkCwSb8HHxj6uLmgBlB3d4gqItBx5W+NS9GlT9tQbnpDi0VNqNW3LV8Z16DaLre+FoakB4P62qZ49PvdjXku3aAeZDj1yfqC+tyRSaC4YWxSmYMlf7dX63K0M4tqRv5eMqFCX2ennmt8UB3o+xhqCcfDbKrA0ZntuNpmm2222WabbbYdA7NVBY7ebMfVNttss80222yz7ZjYsAwfEeRqu64fmu24jkFLSUBYGhmyHmRAs6zjTK8VSmQIfLZPh4ZqkG3NUokU+W/uZSqpNjNM2oYQeSWyzif06jAXhdi76vWN/7xU14i9ODuo2vuMkoSnFlapY9EIU+9FOVIvyqqyjxNAx3BDLHu3kZ0biZDp5HR9nwegWODFtZV49LlTkTnM591iZOMzXJ+aoPswHmV2h3r1ubZX6KzzmP16PERH688nGGHyZITr6hG+HazUY7FwnA7Xs/gFjSF5swTwmv1p6lhKHIpfYFw/OFWHgjc062stcPD56/NVGWMtw6nfqR5k0/fV6/uKjA+q9mA7qCUoaJA/QWfbRxqHu+tAFehDWWU8E5Y+7WqPDXucIfYEv3W+rkY9T8326SIQDA3vaNPZ+KQScVxvRXlTMxz8LkrVnpSmx1IS3qG+bn2tT+/JUu2Li/erdne//rxZ2MEXq59vK8qNduL5hyiSHIZa4k3S7/vCZKswB/uwF9dZ06DnFgeoI7e/p2UGVszU/eZ0jK4isK1Gh/JTe/XzHu7R9zE8rK8tEffNIh8BqLGYNCZSWvr69Hed6OOoCKgKGOP4cPPMsTC7ctbR2dgmgthmm2222WabbbbZZtv/mY242mabbbbZZpttth0jswHXozPbcR2D5onV4bp4hJKiEQahMH+7EaoaGGZ9aP1bU31B1aawvjNJh4462jW14O1aXWRgQp4VFp/n09e1pxJq2IextqAOwV2Wq7NvYxDGnBOwfru1FWFqZJkeQBh7R5uWbgjEa2rAjDQdDo5FKLrJKDKQ62lTxyhmnjaoQ2z5KFDQj2sN+PXn+QziDTUGFnnIzGxV7SivDmNGtOv7iMCU2gIhfoY1SyZVj/zd3qhD3PUojJGRrPslUl+K+N064z3Zo9txDn2tvZ3WfTtA5ejsZ7hWH6dNdOnPBxL12OV9m+9RPN4Zs0CAiMgwijo0vgf1jDxQBbpQeAMhVHUdOHcQBQeyXUHV7sTYSSnS18r68sPMIjHawaAeGzVQbpjg1WNvoku/Q6QGJEJcfw7CvwOD1sX1D+mx1YXwfFSMHsdNtfpaF6aAfoFQNKlABQ7rGfnj9Zy4E0L6bzXqazknXfcxqT9RoHNBREYcRr+0I1O/qVf3eQfUEvJAY7l9hlZbqEHBAf+g/n6KQS0r8ATVsXg/qAEQNKms90g441zz+/26H6/3WvNFHWgj+9r1dQ+iD6n8YM4PEce5AsGwHBlVwHZ2LbMdV9tss80222yzzbZjZDbH9ejMdlxts80222yzzTbbjpEN2/jpUZntuI5Bi0G4bhpCppl+HXKlSHiaESZhDXeKYdOoQhCboD8f16fDdydm1unPu6zwUZSOxktxjM6u53GGKTNmInRcr8Ne/V36C6X7raxXip/XoV74LJ8OY8Yi6zwaYUwHKBMMRRa5rHC+GdIUERns1+3KZh0Sy3FpKgCF+Pv79PMlfYNt09qadSjR0as/G5mkp4BpE3WBAj6jaC/zOa12EBnuPQg7NrXqcG2iV2c8U/nhcIoxZfWWYP24DB0C9SKkWlrjV20W7ajH+PDH6e/HJYIOYIjpV7Tq55k+oMetMzWo2slzEH8f0s8gI1ePzeptOiweZ9BUunHdeTk6BN7fAxH4KP62bkY69OfrNoNaMN4Kc9d16nCtD6F+ZrwznNvZp8/dhSzzIjzTTqN4irtHj+tUFFaITtSDJ9Wv5473K7QKRfqQfgeZtX6KMc/FQqmBBUUceGkynfraSDvZ0qQVTgrQb3EGZSIexQtiUeyEBWX2d+ixkwLayRCeyet1+j0532k9b7dXUxw6apDZn677JdOvx/H2vTrcP9Gt+3yaX88H4UL665v1uC9C8QMnxuJhi4IcY7MR16MzW1XANttss80222yzzbbPhNmIq2222WabbbbZZtuxsOEjLPlqo7QjZjuuY9Ao3M1wUBRE4AdYE9oIiwwgy7QLAvUMoZQj7FnQHVTtZhQRYDjH02GFk7qb9HV1dOjQ4ECtPp4xToeOBhEB72nTw7W7S99LthH+dyDrNCVef7e0TYetTszSIXJSA3ZVavHtycWaIpHqta6d1A2G+plN3QZawyBE4Cs6dYg926FDdolGVjufJ8fSYCuyyKPDh+cjdURWIqL1tQ0ZouPsMweE2RPjdPiurUGfvKZFP5PDCbenGnXUY+L1sWHUdKdSQ+eADjU245k145mkoqa7xyhYsaddh2MZEk/v1iHTSK++74Fyfe5I1PjwB3SoubfLGstUt6DtBUWiHCoRi+MqVdubjms/GbQVo66HM0aHdj9o0XMHrR59Wpik75ui8T3dKORgzGW7OnQf+uOhCuLEOxKp+ym3RdOt2jE3VbZpIX+zyEQ8FEdIM5oc0KL+LNrxP1tyVfuLBXouae3R19JvFH05M69aHato9qh2GVQlSP0aGNbHM1Bg5sRUrdwSaVATtpRrekUqlDfiXaCp4J2iIgKN702ww5o/UpL0O3Bhtj5XH+hZLLzQYYy9I3IaP0E7WPL141+E7bdaZjuuttlmm2222WabbcfIjrfz/Fk323G1zTbbbLPNNttsO0Y2tlLFPntmJ2fZZpttttlmm222HSMbHh7+2P8+DVu7dq1ceOGFMnXqVFmyZIn87ne/U8dbWlrkhhtukDlz5sjcuXNlxYoV0t3dPcrZDtqOHTvkiiuukBkzZsiiRYvkt7/9rTo+NDQkP/3pT+Wkk06SGTNmyNe//nWprKwc5WyHNhtxHQMWAR2oEK4PKivVNWkuYKpXc8V6DSkXclLrUd0mLUEPQlZHYWUsF3iHuZB6Kd9vSRStrtEyL7Mgp+KN05zIvlLNiVpTrXml+Ymat1Taoftl2aSKkb894IHurtH3wYphCYmatzYAflZusv4855HYeKtfGlAxitxMSm2RG5iVCAkzSOAcIM/YYD/xs1ngofU06LEWbEIFsQb9zOaPP6DaVRtxrRnBkb9ZlakSVXnmpmiuJ/nRlHljxbHNezXHzqxQFpWg77u1Vt8XecWtqLQ0BdWu3ODItYM7WGvwjvvBSWb1osRC3ecRbn1tUan6PvtbNe+wq02P87gE6/PRCfq+WL0s2Ku/m5Ggzx0TD45zHzWIwHE1pprd4IkngsuZiIpicyFBt7YqoNplnXo5Oi9DcyY7jGpopwQ0FzMzLSgfx+LBt97TqMd9tkuPxf/dZ429r07Siyx55OS0RuD4t+fuDXs8oW30Km+ReL8DDj3/NuN5d4H7+UGrPs75ghXozPwJb5weO6xsNwDpNVbde7xSP7PxSfp4LKTaTL4+ZbuSMa8NQHqvH+21dda61DMYKaCR/0vau+++K9dee61cc8018sADD8i6devk9ttvF6/XK+ecc46IiCxfvly6u7vlN7/5jbS1tcmtt94qXV1dct999x3ynC0tLXLllVfKokWLZMWKFfL+++/LihUrxOFwyEUXXSQiIg899JA8+eSTcu+990paWpqsXLlSvva1r8lf//pXiY39aE/mM4e4PvLII7Js2TL1f6+88opcdNFFMnPmTFm0aJHcd9990tNjvWSdnZ2yYsUKWbhwocyePVu+/vWvy969e3lq22yzzTbbbLPNtk/VhoY//r9P2h588EFZsmSJLF++XHJycuQLX/iCXHDBBbJhwwYREXnvvffk3Xfflfvuu08mT54sCxYskDvvvFOeffZZqaurO+Q5//CHP0hMTIzceeedUlhYKBdddJF85StfkZ///OciItLX1ye/+tWvZPny5XLqqafKhAkT5Cc/+YnU1tbKP/7xj4987Z8px/V3v/udPPDAA+r/NmzYIN/61rfk9NNPl6efflpuv/12eeGFF2TFihUjn7nrrrtk3bp18tOf/lR+//vfS1RUlHzta1+T3t7Rhdtts80222yzzTbbPkn7UFXg4/77JH3X7u5u2bBhg5x//vnq/++55x75/ve/LyIHfauUlBQpLCwcOT537lyJiIiQjRs3HvK8GzZskLlz50p0tBU9mT9/vpSXl0tjY6Ps3LlTOjs7ZcGCBSPHXS6XTJo0SdavX/+Rr/8zQRWoq6uT22+/XdatWyd5eXnq2FNPPSXz5s2Ta665RkRE8vLy5Prrr5fbbrtNVqxYIbGxsfLSSy/Jt7/9bSkpKRERke985zvy+c9/Xvbs2SOTJ08+1rdjm2222Wabbbb9i9qRUlZrampk8eLFox5/+eWXP9J5KioqZGhoSKKiomT58uWyfv16SU1NlSuuuEK+8IUviMhBvys9PV19LzY2Vjwej9TU1BzyvLW1tTJ+/Hj1f6mpqSPXXlt7UHaS501NTR059lHsM+G4btu2TWJiYuS5556T//7v/5YDByze3Ve/+lWJjNTAcWRkpPT390tHR4f4fD7x+/3ywgsvyDnnnCNJSUnypz/9STwej+Tk5BzrWzmkOeLzVLtzANqb4PckoYwrX4KtRgnBGPCnWOqSZTnjUHZxAsryUS+P+pipLosEdz70Dd0OzZH6oEZzWAX828/l6pejG6UQi7363mLirN+j1u3MFK2t2AnecBRKJfaAV5gAvmVvu76WbZUWh9YXr59PIzip5JHx+ZIzyXK1C1I098/UkKUdaNKc1D3lWtczP1PzzmY7dJ/Hp+h+yU/Un6+tsHiO1L5MS9Q849ZW3Q+RGJuZ0zVnTvTQlInd+hk6jBKRMW7dZwnQ2ozUNHDZ06n5uOM0HVderNX/cUGW5jzuMzRqq7v1OzDXh9KVSeBtJaGObp1+fu11+tocHpTGNcqZ7i/16FPjHVs4Q/MxyUOM84L7u02Pa2ovp+Raz2gBtI/buvT764zX192LMqpLoElK47zWbGgzk7M8NMjgoZ57dn2gx33RJF1Odnykbm88oPm3/z7HopbFefRvJ/XqPq+q8Kh2F/jUhTkoZYu5Znu9vtY8oyT0E/s0V/8bk6pUO4Oc9kGUdPbrd5Ia0ixXberEUre3BSWckwZ0P9Ri3jsrVbfb+vX5MpyjlyMvg17t2036tye59LkmeoP6t7PqR/7+Q+Xxz+k/Eh3XT9I6Og5OiN///v/X3r3HR1Hd/QP/7G42m839Qm7kQiBIuBOQoFhuoiJKLYLl92ClKg8oaiWtF2ip1IIWqUoFgSpWQeqvKrQVUSuPIOhjf1huoQhqgHBLCJBkE8g92Wx2d35/pNnZ70kIJECShc+bF69Xzs7s7JkzZyYns+f7nWfx8MMP49FHH8WuXbs831RPmTIFtbW1zc45tVgs5/222m63N3mPxdLQx+rq6jyBXc2tU14u58C3xCcGrmPHjsXYsWObXda3b19Rrq+vx9q1a9G/f39ERjYM4BYtWoS5c+fipptugslkQmBgINasWYOQkJDmNklERER0RbT1jmt8fPxF31X1tmrVKrzxxhuecv/+/QEAEydOxP333w8A6NOnD/Ly8rB27VpMmTIFAQEBcDgcTbZVV1eHwMDAJq8DaPY9jYPcwMBABAQ0/HHrcDg8PzeuY7Uqf9C3wCcGrhfL6XRi7ty5OHLkiEjrcPjwYSQlJeF3v/sdAgMD8eabb+Lxxx/H+vXrm9yyJiIiIrpaTJ06FXfccYen7Ofnh7Fjxzb5Wr9nz57YsGEDACAuLg5bt24Vyx0OB8rKyjxf/6vi4uJgs9nEa43l2NhYOJ1Oz2ve33jbbDakpaVd9P74VHBWS6qqqvDII49g27ZtWLlyJQYOHAgA+Oabb/D8889j8eLFuOmmm5Ceno5ly5bB398fa9as6eBaExER0bWkLcFZlyI8PBzdunXz/E9ISEBycjL2798v1svJyfEMKDMyMlBYWIi8PD3N5O7duwEA119/fbOfk5GRgb1798Ll0qd97Ny5E927d0dUVBR69+6N4OBg7Nq1y7O8oqIC2dnZyMjIuOj9uSoGrjabDffddx+++eYbrF69GqNHj/Ys27t3L6KiotC1a1fPa2azGX379hUHhIiIiOhK0qDBrbX+/+XNKwDPt87vvvsu8vPzsW7dOnzwwQeYMWMGAGDQoEEYMmQInnjiCRw4cAA7d+7Es88+i7vvvhuxsQ1zwO12O4qLiz0D1XvuuQdVVVV45plncPToUWzYsAFr167FrFmzADTMbZ02bRqWLFmCbdu24dChQ3jiiScQFxeHcePGXXTdfX6qQHl5OR544AFUVVXh3XffbXK7OS4uDqWlpbDZbJ7b2263G0ePHsWIESM6ospNOJwy8CNemeqRqCT5V4NaAiPknJJbIvUBedVZOfleDZCwVcgglAAlaXhtvQwsSIkuE+WiUpls3zuRf3Rv5Qkbypz4G8NkcntXvQywcTpkdE72SZkkPCNFBhJVVuhzZgorZL2ilActHFOSp6ttmpouA6A02SwoPibn+KR20ddX2/h9JSBqXJw8nteFyLIavBWoBLlZleXBXfTjX18j/xYNq5YBEyYl4fiZIhm8lZwk97vkqOyM8T+QDRFdp0c9dYmV+6Epx7tMCaj4t62L3LZDRlCZu8q+aw1XAgK8dtUvUW470iHrsuGI7OfXKw/t8DfKNr4/VZ6T6kMk+nv9EsmtDhfLApR14VDKVrlfxgjlYQn+8rMD02R/8m7XiEIZjGMJcp53XQAIHSvrqlXLa8e/dsn+MDxDnqPv/a+eGmdiH/mHf2yQDDILSpT7bS+SfVMN/FPPsRqbPP8dZfr7o8Pl8QsIk282hsnrVr9xsk3rTsrPcisBkbcMk/vm9momk3J9riqSgSaBysMNCpQHcaiqlKC27mGyrt6J+B9PzxXLvB8QAABOTZbrlGArNbBXDZgtLpd1PeVVtwGRcl0/pZ8Hhsi+NDRIBt9dFynP0dPKNVh9kENcV70dEiADdwYrAa2VpS3/nouI1M8T0+mOD8663IPQtpg4cSKAhtz4ixcvRkJCAn7729/i7rvvBgAYDAasXLkSCxcuxAMPPACLxYLx48dj3rx5nm1s2rQJ8+bNw7Zt25CYmIioqCi89dZbWLRoESZNmoTo6GjMnTsXkyZN8rwnMzMTTqcT8+fPh91uR0ZGBlavXg2zWZ6zLfH5gevixYuRn5+Pt956C5GRkSguLvYsi4yMxM0334ykpCRkZmZi3rx5CA4Oxpo1a1BQUOCZlExERETUHjp+6Nxg4sSJngFsc6KiorB8+fLzLp88eTImT54sXhs4cCDWr19/3veYTCbMmTMHc+bMaX2F/8OnB64ulwubNm1CfX09HnjggSbLG/8KeOedd/DSSy/hZz/7Gerq6jBgwAC8//77SExM7IBaExER0bWqo9Nh+TqfG7j+/ve/9/xsMplw4MCBC74nNjYWf/jDH65ktYiIiIjoCvO5gevVwGiU83HCA1NFuWuAMo9Qmc+lsnSR833cdv2vOatDzrcy1covKbq45Htje8jPinHK8p5vE0Q5MUTOa/MP1utuCpFz1Grz5Jwov0BZl6BE2R3rC5QE1SVyPl9AsLPFsreILvK9kVFyDqS9Rs6vMZhlu0CZG6rODU6K1udglVXLSXC3KnM/v6+Qy0fHyqT+6jxjNYm42Szb0eRVlbJCOd/OqTxgIrdczv29caBMYG5Jlp8VaFTa1KTMmRsd7vnZbZN95eT/yn4eGSOPwQ+scg6cX4Ssq9Mm5+P5yynO8Ivx2r5FaaNYeTzvTlXmUysPzrDXyfVPK/MSBybLZ3Of80qunhQoj0eUVc4FNITLOYywKuUIeUzC+sn5fMauct4pgvT3dwkpk59lVfIr+inxt4lyXrFBeQj6zb+Q8ythl40+vac+r9ytPPdCs8ttGZUHLwTLj4b9mDy/ywpluxiUUzA2TO9fRuV8rKuUfcdcIfutwU9uzCS7JkIiZF+zJMv+UF+kX0cNFrmtiD7ysyIgy11K5PlfXyWPSWKPMlFWHxJxLE+fI9+1l/JAmHK5bneznKNutsi6nDwTIZeb5DU4IUb2vfgo/fPq6uQ55nK1PGfZqLST2yXPi/oy2a/VOAOxbflrB+5a9ct2efzshfL4+Qfp56ihg0PSNQ3Q2pDIta25X69GHLgSERERtRNOFbg0HLgSERERtRMOXC8NB65ERERE7UTrNHkFfBMHrkRERETtoq1PwuJd2kZXxZOziIiIiOjqxzuuHcBgUJ5eVb5LlANNY0TZGiIzA1i7yWhNNXpXK9QjLI1m+ZVEYb6MKg22KJHbcTI6V33yTq+is6KsPmnFWav/LaS+11El97umWtY7YZD8bH+r3O/efiWi7BetPFHIoX9gXKSM5DWnyHpqTlk58wEZ8WoMlH/TaQ751269EpXub9Wjd7Vz8vgkKE8+6x0r27CmVraD95NyACApUkb6Rg+W7WLw09vhX1/Fi2V3Dj0ht+VXJsqWVCWSO0BpU7sana38rZuW5PnRmCzbMMlxTJT3fS7Dyh89INtl1w1y0+Yo5RFFyjGr/kZ/GlrQUOWpK0r2g1OloaKsHr/EUBmtfV0XGZ1tCZHtkGrSj2F0sMyWEKU8GQ3Olp+cBLNsc0OQ3BfnUVkXv8H646sNw/vIbeUoj4QyKqH5tjJZVrIKIELWtX6fTVb1Jv14myrl0+jeXyKfhPRf98lMDgX/lG3epYf8aLNyrfI+pwDg2Ek9ut47i0dzSg7KtAEmJXq+4KzsD2kD5bXFflyuHzgxxWuhPP+gtAP85HXsyNtyP9SnV3WJkP0H8jQST9LzT5B9w9JTlq1nZF3OHJDHMzJYLs8qiBblhATZrtXlet/MPSezAHxpk9kwnup2RJRNQbLv5RbI3z1dlKcZGpSsArWV+r5Z6mQGiqP7ZbaLLmHynIuJl+ez5p09p4NvXGpo2xxX3m/VceBKRERE1E7cnON6SThwJSIiImoPBkAztGHgarjwKtcKDlyJiIiI2gnTYV0aBmcRERERkU/gHdcO4HLJieRWS6Iom5RJ6uZgWT76LzlJvtdtcnK/KUwPDgiMkYECadHy8aKGAPm3iylRBi24TslHQDocssskxZfJ7XltznlWPgozYpSczB+hBo4oATXuUjkh/+//K6M5/mtSnigbA/V9VR8JaOgaLstKQMXZQtlOSf2VoKQQWdehd8p2LPtGr7saZGB3ym0nxsroC2uV3E+z8ihcqxKAYQhSAqqs+vJ7ZhSLZa4i2aYOm/IVlXoMlLIhUPnskQNFWYvRgzsMJTLozFmaI8r9BshAn10/lEFphlAZUOO9XwCaPBo1sFZ//Kj6aFM1yKxXkgy+qamSn22rkNv2N8m+G2lSAmi8t+WQ9Yw2y+PvPKkECqYp0Tcu+VkGf9lf/JLlOQmLV92Nyr2Hwb3PW08AQInstzinPOI1JkoUzffGyeW1et1d334nFk19VAYdGbrIYLyEBCWoySj3q0uFbBetXJYHJOrHsP6cbOOS0zIIKbaXbPMa5fxOSZLt4N9DBgIaU2Q7IMGrHfzl8dZMctuGermffZ4qEGWckZ+d+3claC1e1t37kbBNHumr0JRgO4PyaNzwaHnduz1ZXkNVhXl6wJ1Lk/WckiKvNeZw5drhL8s9U+T1wWiSdaspl+0alqRfF00RyiOdlQBWf+Ux6d6BXQBgtujnmKZ17LfuGrQ2zXHVeJfWgwNXIiIionbCBxBcGg5ciYiIiNqJuy3BWeTBgSsRERFRO2E6rEvDgSsRERFRO+Ac10vHrAJERERE5BN4x5WIiIionTA469Jw4NoJmIz+LS73i5A3xtMmqmll5Ptrj1R5fg66SaacMSppX7RC5ZnfATKNiClZpt5KcJSJ8qksmZ4laZSeEseUGiO3HSjTHTn35Mu6BcnuWPiNTPs0NuWMKLtKZRohR51etg6Sz01HndJmSkqpbj+Vn+3MlumTjMFKyhuzPCYRQ/QLUcBRme6mrlJ5Fr1y1rmcSkqyeiWlTZA8vo6jMl2OZbD+3G5DmHK8HbKNLEramFNb5Wcn/UhJFKOk19Es8hhqQXoaKTUdltEqt+UXJdvQ2E0+uxxKWqEmQmRfM8Z5HWMlVRbMspHD7KdFOfisTLUUVS3TBKl11RxyX+pr9HZJ7l4qljntsk0DB8vnwavqtsqUROYUeY4awpQUSGFe+2qTbY445bOc8ni7e/dqsS4IkmmloKR2Mn76hednU1flHOsqnx/fpO+crRJlQ7JMl4VyeQwcJ2V6LUtPvR00l0xPdvAb+dldr5fbCk9R+q1SN2OIXI5q+dkor9R/DlDSuBXKY6ANHyLfGySPn8FPSc31E3m9cJ2Sn63V6Oewu1oeD9suua2wePnRFTXyOhdtldcOg3LK+YUp14OYMs/Pjjq5ckSiPIfqy0QRZmVwZlTSxJ0rlH0t8VZl/R7JOJ+U8pOiXJmnnO/dZIpB72uuIfu8m203brguvBKdFweuRERERO1Ca+MdV85xbcSBKxEREVE7YTqsS8OBKxEREVE70ABonCpwSZhVgIiIiIh8Au+4EhEREbWLts1xNXCOq8dVc8d148aNuPPOOzFgwABMmDAB//M//9Pseq+//jrS0tLauXZEREREgFtztfr/5XTq1CmkpaU1+793796e9UpLS/HUU08hIyMDw4YNw8KFC1FbW9vCloGDBw9i2rRpSE9Px9ixY/HOO+/IfXe7sXz5cowcORLp6el46KGHkJ+ff56tNe+quOP60Ucf4ZlnnsGvf/1rjBw5Ep9++imefPJJxMXFYfDgwZ71Dhw4gJUrV3ZgTZuXYJXpU4wGJR1SgPz7whCjpKGpl536xDE9tUv/Scq6itOb5WfFDZWpXfz6xYqyKV6mdunaT6a4cVfoaYNMYUpqHatMzWJKkCmM3GflCVFlV9JAOWU6lvB6mY7F5JVFyF0ql1XvkGlgAlNk1fxukKlX/CYMlCsUyvRYju2nRNlo1Y+R9TpZb+e3MiWRSWY7QkiSXP7l/0sS5dvS5WdbBilppKz657mOFKMlBpNM65Q8SaY/c1fKVDwGP+VvWyWVDxxeaWcO5MhVU2RqLneJTGGEKiXlUIjsH0hLkeUSmTZIK9ePsSFdSfNUJtO8ffOJrEv6XRWibIqQ54GzRKbT8YuS7RQ6XD/HNKXNnGeV1GtK6iU45PG2XB/V8vpdlbRREXqKOnevnmKRoapSls/KVF3GYqV/1Mhzzn2d3B7Mcr8R55V2qlaeY6iX+6WmJDPEytR66vo1e+Qx8VMvXUa973qfbwDwgwHyF58pUX6WIVG2saFOHt9Tq2XfCo8tE+Xgkfo1tuor2abBszNEWbMqadsKi0QZNrltWGUqLlOq0h+8r6Pl8joW7ZDH0+Avj1f/ofJ3g1Yt66bZ5TFwnJLtEtJVvzNoTpRtXnNIVvPsGXk9D1GuwapvbXI/E6H0zW5d9Z+N8rrlXyp/74Qa5TEp+l7uZ/xN+jlp6AS36zo6j2t8fDy2b98uXjt58iSmT5+OmTNnel7LzMxEbW0t1q5di4qKCjzzzDOoqanBiy++2Ox2S0tLMX36dIwdOxYLFy7EN998g4ULFyIoKAj33HMPAOC1117De++9h9///veIi4vDyy+/jJkzZ+KTTz6Bv3/LqUEbdYJDeGk0TcOrr76K+++/H/fddx+Sk5Px6KOP4qabbsLu3bs969XU1GDOnDkYOnRoB9aWiIiIrl0aNLha/f9ypsMymUyIjo72/I+KisLixYsxePBgzJ49GwCwb98+7N69Gy+++CL69euH4cOH47nnnsNHH32EoqKiZrf717/+FWazGc899xxSU1Nxzz334MEHH8Sf/vQnAIDD4cCaNWuQmZmJMWPGoHfv3li6dCkKCwuxZcuWi66/zw9cT5w4gdOnT+Ouu+4Sr69evRqzZs3ylBctWoRevXph4sSJ7V1FIiIiImgA3G34dyVnuP7tb39DTk4OFi5cCIOh4e52VlYWoqOjkZqa6llv2LBhMBgM2Lt3b7PbycrKwrBhw+Dnp3/bcuONNyI3NxclJSU4dOgQqqurMXz4cM/y0NBQ9O3bF3v27Lno+l4VA1eg4Y7qjBkzMHz4cEyZMgVffKE/4WXLli346quv8Nxzz3VUNYmIiIg6FYfDgRUrVmDq1KlISUnxvF5UVIT4ePkoNn9/f4SHh6OgoKDZbRUWFiIuLk68FhPT8ATNgoICFBYWAkCT7cbExHiWXQyfn+NaVdUw1+WXv/wlHn/8cTz99NPYvHkzHnvsMbz99tvo0aMHnn32Wbz00kuIiIi4wNaIiIiIrpy2znEtKCjALbfcct7l27Zta/U2N23ahPLycjG3FQBqa2ubnXNqsVhQV1fX5HUAsNvtTd5j+c9jwuvq6jyBXc2tU16uPH6+BT4/cDX/J3hgxowZmDRpEgCgT58+yM7Oxttvv436+nrccccdGDVqVEdWk4iIiK55GrQ2ZQlo+2SBVatW4Y033vCU77rrLs830B9++CFuueUWz53RRgEBAXA4ZLAe0DAADQwMbPL6+d7TOMgNDAxEQEBDAK7D4fD83LiO1apELbfA5weusbENUe+9esmo4p49e+Kzzz7D6dOn8e9//xsbN24EADidDVGUgwcPxsKFC/GjH/2oXetLRERE1y53G++4xsfHt+mu6tSpU3HHHXd4ysHBDRkgysrKsGfPHqxYsaLJe+Li4rB161bxmsPhQFlZWZNBrvd7bDabeK2xHBsb6xl/2Ww2JCcni3Vak6bU5weu/fr1Q1BQEPbv3y8yBuTk5CA1NRVvv/22WH/Lli1YsmQJNm7ciKioKHVzHSLELacw1Lrk1GPNITu5+4y8pW4Ikrfd+z8Zrhcsyq1+p/xLL3GyTMUCyLL7uEzFpKYlccrsOzh3Rv+rKXG4khZIYTApU6ydcj/DgmQ6FZfSLvZSJT3WjXrdXcXyvYEy2xUMfnI/1M/WukTK5TEyJZF/hMzVo+3P039W0hkFpSjpsKKVlDQOeUxG3yBT+2iVcj/rTsoURv699LqYUmRfcueXifLRz+Vn9/qJbAdjT+WCFC730x0sy4ZzXmmELDIVjyFC1tuUlii3rfQlBCh9sVzpXLVKqq5hXn+sqttSpN9ZJsrOQtk3awpk33I55aUx1CiPoV+YfrfAWSy35Rcn96NgvUzzFH+vrKtWK9/f5LzIlxG82oET+rqTbpbLYmT6OsOxPFFGzklZToiWZaPy2epXhZVeKc2u6yaXnVByMYYp+axsMuUUymV6tKBR8nrsOimvc94p7lyV8nw1KlnaDIFKvZXUW1qx7FuJP5GpnBCitIvXOR08Xm5bC1HeazK1vLxa9uPqL2UaKEu07B/msV4pyhLl+emnKXfhDMp5ECLPd0OFTKeFYplWytJTGRJY9XNaTY0X2Et+tiVabtsU3vLw4vbrTimvyPNG8+4/aoo4JQWdX6Lcz4QeyjGo8Xr/Ba4V7aG9H/kaHh6O8PDwJq/v27cPmqbhxhtvbLIsIyMDS5YsQV5eHrp1azjXGzM1XX/99c1+TkZGBtatWweXywXTf86DnTt3onv37oiKikJISAiCg4Oxa9cuz8C1oqIC2dnZmDZt2kXvj88PXAMCAjBz5kz88Y9/RGxsLAYOHIhPP/0UX3/9NdauXetp8EaNg1X1dSIiIqIrSgM0rQ13XK9AWoHs7GwkJSUhKCioybJBgwZhyJAheOKJJ7BgwQLU1NTg2Wefxd133+35pttut6OyshKRkZEwmUy455578NZbb+GZZ57BzJkzceDAAaxduxYLFy4E0DC3ddq0aViyZAkiIyORkJCAl19+GXFxcRg3btxF19vnB64A8Nhjj8FqtWLp0qUoKipCamoqVqxYgRtuuKGjq0ZERETU6RQXFzd7JxYADAYDVq5ciYULF+KBBx6AxWLB+PHjMW/ePM86mzZtwrx587Bt2zYkJiYiKioKb731FhYtWoRJkyYhOjoac+fO9cQfAQ0PNXA6nZg/fz7sdjsyMjKwevVqT7zSxbgqBq4AMH36dEyfPv2C602ePBmTJ09uhxoRERER6TRobZrjql2BW64LFixocXlUVBSWL19+3uXNjacGDhyI9evXn/c9JpMJc+bMwZw5c1pVV29XzcCViIiIqLNrW1YBasSBKxEREVE7aWseV2rAgWsndKBcRlfeUS47uSlKRkU2iaD1ipp07TwuFmlO+XWD37CWg9QMdUo0boWM5jRHyrp07eEVIV0tI/tRLKOra3aXibJ/VxkJ6nbLbYdHy2j6gAQlOtR7v6tlmxmUYGlzrJyM7tguo63942SEs9ZFyUARGS63n6JH1Lr3nxbLapRA7uAw+de266zMe3c2V8lnlyuLcTcoUejeWSXU6FuFwSCXa/VKOylRyIgIk8vLymQ5/4zn54oPz4hloWPD5bbKlCwBXZTlSsYLVCkR0Gp/qvZ6eou631Z5ThzbJvcrqbeMWPezynaoL5OXxvpSeR4YzHrdHGXyo40hct24CUpUuVJXg1n2e9cpeZ7AKCO/3TV6O5nPKE+biVPaIUE+xUbNzIDAAFl2Olssu0fp0ccGJe2NQTkn4FZ+OQcpn2VpeU6bc+9ZUa6x6e1kkd0SRmVTzhz5Xs0h26X2jLx2hI5V0hKokedFen+p3lkmFgWlyKcAwU/Z1gXOSTWLQMlBef2Pv145D7w4v5MZCfxSQuUKlfKccZ6Ufevov+T6PUfIc9ToVXd3pbxO1Z6Qx9cvWO6nKVyprJItw6BcaowDkkRZ88pwYbDLaz+UTDpumzxHcP4mA9RMDO1Oa1tw1hV96Ktv4cCViIiIqJ20dzqsq43xwqsQEREREXU83nElIiIiaidtmypAjThwJSIiImoXnON6qThwJSIiImoHGtDGPK7UiAPXTuA0skX5XJ2MBK6vkFGn/v5K1KoSnasd1yNNK76X3d3aRU4K9zunRHorkcBalYwkdVcq0dX+ynPXHfr7Sz4sFcsib5T1DkiTUcbOMzICNihERkDbzsjo7K6BSt2NeuSpS4kqbRJ1fFo+J92vi5KZ4aB8xrvBnSuXR8nnsLuP6hHWarRtQLQ8BtXfKdG5lbJyyw4kivLPB8gsBe5KeQyN5Xq71efKHa84Kbed3F9G02s1SgaDb2UKBM2ZKz8rSoYCa17PDA8eID+r8kt5/K3d5Wcb/GQWgiYZL/rFyuUVsn+4zuiRxMYQ+dmGQGW/+8q+4ihTngcfKj/bX8mm4aqT65fn6OEBeYUy40S/YBnpbbTKiGjnMRnZ7VYi3qvPyMtycLKsi9HqFZpQJrdlKJFt7v5ePg/eOOw6yBVkXzV++qVcnpogy0Fe/eWI7CvF78n9jrpJhlAYY+U5g0ilXC/305woo+tLsvXrRVC1vDZomjw+QaXKs+zlpuAfpgwc/JVfhUoGlPqjet8Nur2rXPeUzK7g/vxbUTaNUNo8qYsompVo+7gEmTXEneudIUFmSzDFyvPXVSij6+tOyTb97nt5TvXtVSTK1UdlXQ7n6VkHEsJlm5wukxkJviuT1+eJfeQ11KJczyuK5fW/ax95TTbkevXdankOacr5Wfgv+buluFzWJa1/if5eJ6DkjGh3nCpwaThwJSIiImonfADBpWFWASIiIiLyCbzjSkRERNQuNGhtmrHa0RMcOg8OXImIiIjaSdvmuJouvMo1ggNXIiIiovagtXHgqnHg2ogD105A7cRxSqB3WbF8wZwjI6QNx2W53iuwuNAWIZZ1C5NRx86j50S55rj8CiMrR0bQmpRn3SeFykjTsDA9+tPPLCeg1x6U0bKaS371kZsro7O/K5VRq2HK9kxKXQPO6Ns/VyGj39V6q2Lj5H7U/EtGuLpccjp4aKSMkLdE6Mew8pyMlq3Ml+Vn98lj8mRf+Vk/TpJ1+ei4PAZ3aQWyLvl6m2vKxa2iQn52lfIc9OBTMtLXrRwT/wAZvXvurLxklNQEeX6ODZYZDQIDZZsbT8lsCuojw80yEBiOz2XWgcpiWffaWv286NpPRlNrTpmBoPiY7A+2iiBRDguQ7eByy+NdVic/2+j1VZ/dJds87/twUQ7JlXWpqZXR9PXKZ0VHyn0p+E42THxffbl2WGacMJhlXdTsClrWUVF2KdH3Bn9ZFy1HRrE7S/V+blAiJGrtsk0Lv5Lna95ZWbehI0+IsjFYLq8vkn3P6daPYWGZbMOoIBl1XlAUJsqRofIci4yRfdGVK6+Lml3J3BHotbPlclsqY5jsK84vDouyIUDup/pZDpv8fZD9fYzn5wA/uW5EsHKdcsvPrqyV19BQizzeucflNfesXV4v6t369aC2JFIsC/KT1/M+ofL8f++77qI8OFz26wE9ZEYD5355XXNX6lkF8g7I4xnXVW5rS24PUf5BbIkol+TpfcflNHTwwEeD1oZ0WEyIpePAlYiIiKgdaGjbHVcOW3XMKkBEREREPoF3XImIiIjaCR9AcGk4cCUiIiJqNxy4XgoOXImIiIjahdbGO66c5dqIA9dOoNyeL8rVThnZ/W2RfLY1ZDAmzjnkYYy36hGzajS9NVdGghrz5XKnU057rlWi6audMiK2yikj5M2l4Z6fA0wyArbaKetZrURj1yoR7fk1cnm0RZbLC6KV7el1jbXIiGS7Erl9ziG3FXUuXJS7WGQ7FdT6i3LPchlBW3Pk/KdScZ18750Jsi5bC2Xkr0u5PsUGyBf+dTpGlI1ewfdmo1zXrhy/M3a532pfGx0t96tOef93SpaCweF6VPOXp+Vz0NUJ9OH+8piEm2Ubn6mVEdERyvpVSt+Lt+oR0if/pWSg8JdR4+UOeQz2l8sI+ByZyAHJcjEcyu+ZcLPezmobJgfKNjLKwPwm56Ta1zaelP1aCULHbXX6BoOz5X5GxshsF06HPAr7TsSLcm61bPMRsbKyFUrf/a5cj+Y3K/vRQ4lwP14lMzkM6SIj909kyUjxY+XyGKrqvCLcy+rl+WYsk+8tUfa7X6XM7BBzTpZNBnmAS+vkMfSOoE9NlG1kCZHXuaoSpc3OyKwgRXa53Dtyv+Gz5PYCTHrdjlTJ4/X5GZlxZkiUbPMQP3mMymRXQ6hMOoHKelkXp1fqj0S5adQr50Sw8llhfnKF75RzrjonQW4gRxbjA/X+5NLk8Xx7d09RHhQu+962M/Icivb6fVDnNHX4wKdtWQWoUUcfPyIiIqJrBue4XhpmFSAiIiIin8A7rkRERETtQgPguuBazb+PgGvojqvb7cby5csxcuRIpKen46GHHkJ+fv6F30hERER0mWiau9X/SXfNDFxfe+01vPfee3j++eexbt06uN1uzJw5Ew6H48JvJiIiIros3G34T42uiakCDocDa9aswdNPP40xY8YAAJYuXYqRI0diy5Yt+OEPf9ih9autOyXLTvmVwMFKGUmqRp0fLpcvrClY4vn5/6b/WizLqYwT5Y35Mrr2v7rJz7IrEa/HqmT54/IjojwpvI/n5w/LDoplvZEqyie1QlF+ID5RlF84+WdR7mJNE+V6TUaS3uI/xvNzjFVG7iqPA0cP+ahz5FXL9Vef/VKUl/UYK8ofnQ4X5X+cy/P8HO2Wz/8ObXKWycr4KRHNNS65PMRPbqCsXoYG73F/4fk5wq+bWDY6oJ8on7XL93547veiPNf5G1FeXfKJKC/veacof1WsRwo73LIfHq+QWQHKnXK/zAa5X/8oXSyX+8lnoz/a9WeiHGfVQ6J/ffh5sez28KdF+YxBpuKYECEjnPOq5DPcAXke/DFfbn9Y+CzPz7dFyWwKy0/I6PkYg4ye7xEq+9rmiuOifLD0r6L8f7rME+WjFXr/6qkE4n/wtfzsH0TKrB/RMlgeZnk6Y8UhGY2tZlc47XXKjYiWx/dv+fKksprkxg9Xym1/XypvGgSY5H2UkbGyvD5fT/1wc0y4WFatXDO3lJ0U5Yn18rzIq5LH4EDdGVGekSDbrY/Xrn19RF6nVhyR7fBITxmqn1cjy0EmWdfPz8jzYkgXub539P7xSnmtSFAyWLxw/AVRnhI1R5S/dR0T5Ri3/H0QYJDtkhaqZy3YVSzruaP+G1H+gXmwKCuHE1EW2R9C/OR+/uM0FPp5M1rpC8FKxoJtRbKj/u7Yc6K8ZtAznp87xRCQd1AvyTVxx/XQoUOorq7G8OHDPa+Fhoaib9++2LNnTwfWjIiIiK4lWhv+XQnvvPMObrvtNqSnp2Py5Mn46quvxPJTp05h1qxZGDJkCEaMGIFly5bB5Wp5fu6OHTswefJkDBo0COPHj8enn34qltfV1WHhwoUYPnw4Bg8ejKeeegrnzp1rVb2viYFrYWHDnb34eJnDMCYmxrOMiIiI6FqwYcMGLF26FE899RQ++eQTjB49Gj/72c9w6NAhAEB9fT1mzJgBAFi3bh0WLFiA999/H3/84x/Pu81jx45h1qxZGDlyJDZs2IApU6Zg7ty52LFjh2edBQsWYPv27VixYgX+/Oc/4/jx48jMzGxV3a+JqQK1tbUAAH9/+TWIxWJBeXl5c28hIiIiusw0tG3CwuW967p161aMGDEC48ePBwD8/Oc/x7vvvosdO3agd+/e2Lx5M86cOYO//vWvCAsLQ69evXD27Fm89NJLeOSRR5qMpwDgz3/+M9LS0vDEE08AAFJTU5GdnY233noLw4cPR1FRETZu3IhVq1Zh6NChAIBXXnkF48ePx759+zB48OAm22zONXHHNSCgYR6QGohVV1cHq9Xa3FuIiIiILi8NgKa14f/lrUZUVBT27NmDQ4cOQdM0bNq0CZWVlRgwYAAAICsrC/369UNYmD7X+MYbb0RVVRUOHjzY7DazsrLElMzG9+zduxeapmHv3r2e1xp1794dsbGxrZq2eU3ccW2cImCz2ZCcnOx53WazIS0t7XxvOy+bzQaz2Q8pKUmXrY7evjB/JMqmC6R8cwTJHu1drxW1MrhGUzp/dZR84TW7nECvrl/vpyyPkH8MfGbMOe+yozgsyk4lSOkvzr2iHNdVPuvSaMgTZX/lTN6Pjz0/m4wt78cupU2Vp88iJEoGfi2r+Yco1yvbt0fqARqnlccTFhiUCBiFulS9PqnL3coaYZpXgJ1BXlB2G46Kskv5Oy0lVPbhLX6y74Urj4B9tUb2p3qvfdOUNnSGyXqq9TYoe5YSJutiMMh2/MqknBdem1PPxXzTZ7IuSl/7zLhflOsjZd3ylWOmbr/CtN3z8yaj8ujiKPlZlcr9gTyl77gi5XmitkO2SfY9k1fddsm4IFQrn73FJOumXkvUvlUvY9KgxMDA6XWTZVeV8nhhf7k1ddtq2RGh9gfpiJLwxfta9ZHSpprym8z7fASATwz7RNkZLD/bESQbZq3ySGhzqb6+psmaVijX0Jcq1cemyrJRCSSrDRdFHNfOf72oD265zVJS5ONls42y77gggzNtWrbcnrLBQq9z0GWWn+0HeYD2Q0kvqWzLpGx8e63cXk0LT/w9pvQFtZ5OY8vn6+t2/XdDhVaDWpvy7Nt25Gf2Q7eUxAuv2Mz7CgoKcMstt5x3nW3btl309mbPno2jR49i4sSJMJlMcLvdWLBggedOaGFhIeLiZPBeTEzD48YLCgowaNCgJts833tqa2tRWlqKoqIiREREwGKxNFmnNdM2r4mBa+/evREcHIxdu3Z5Bq4VFRXIzs7GtGnTWr09i8UCg8GApKToC6/cAaIRceGV/iPkwqu0KLKNyy5GKMIvcQttF9nKz774Fu9sWq55a9vh0rS9FcOvcD2jWrH9juwLYRde5YoJuvAql6SFcU2HCrzE91/qNdhbFx++EgVfxm1FtHC+2oudzX7N3R7UOJvWstlsl6kmwMmTJ+F2u/HSSy/huuuuw5YtW7Bo0SIkJCRg5MiRsNvtCA2VZ13jgLOuTs3C0sButzdp28ayw+FAbW1ts21vsVjOu83mXBMDV39/f0ybNg1LlixBZGQkEhIS8PLLLyMuLg7jxo1r9faysrKuQC2JiIjoavWXv/ylQz531apVeOONNzzlCRMm4PPPP8e8efMwceJEAEDfvn1x+vRpLFmyBCNHjkRAQECz0ysBIDCw+T/XLBZLk/c0lq1Wa7PbbNxua6ZtXhMDVwDIzMyE0+nE/PnzYbfbkZGRgdWrV8NsNl/4zUREREQ+aOrUqbjjjjs85fLycvztb3/zzGdtlJ6ejs8//xwAEBcXh5ycHLG88Y5vbKzMXd0oPj6+yV1hm82GwMBAhISEIC4uDmVlZXA4HOLOq81mO+82m3PNDFxNJhPmzJmDOXPmXHhlIiIioqtAeHg4wsPDPeXi4mIAwOHDh5Gaqj8Y6PDhw0hJSQEAZGRkYOPGjaiqqkJwcMNEjp07dyIoKAi9e/du9nOGDh2K3bt3i9d27tyJIUOGwGg04vrrr4fb7cbevXs9QVwnTpxAUVERMjIyLnp/romsAkREREQEREdH44c//CFeeOEFbNu2Dfn5+XjnnXfwwQcf4JFHHgEA3HrrrYiOjsYvfvELHDp0CFu3bsUrr7yC//7v//bcLa2urvYMggHgpz/9KQ4cOIAlS5bg2LFjWLNmDT777DPMnDkTQMOd2gkTJmD+/PnYtWsXDhw4gCeffBLDhg1Denr6RdffoGlqvDURERERXa3sdjtef/11bNq0CSUlJejevTtmzZqF22+/3bNOXl4eFi5ciKysLISFheHHP/4xZs+eDaOx4Z7nihUrsHLlShw+rGcM+uc//4mXX34Zubm5SExMxOzZs3HnnfqjwmtqavDCCy9g8+bNAIBRo0Zh/vz5iIi4+MBCDlyJiIiIyCdwqgARERER+QQOXImIiIjIJ3DgSkREREQ+gQNXIiIiIvIJHLgSERERkU/gwJWIiIiIfAIHrkRERETkEzhwbQO3243ly5dj5MiRSE9Px0MPPYT8/PyOrlan1to2+/jjj5GWltbk/6lTp9qx1r7tjTfewE9/+tOOroZPuZg2Y99sm7KyMjz77LMYNWoUhgwZgnvvvRdZWVkdXa1OrbVt9vrrrzfbN4muJhy4tsFrr72G9957D88//zzWrVsHt9uNmTNnwuFwdHTVOq3Wttnhw4cxbNgwbN++XfyPj49v55r7pnfffRfLli3r6Gr4lIttM/bNtnnyySexb98+vPLKK/jggw/Qp08fzJgxA8ePH+/oqnVarW2zw4cPY+LEiU36JtHVhAPXVnI4HFizZg0yMzMxZswY9O7dG0uXLkVhYSG2bNnS0dXrlNrSZjk5OUhLS0N0dLT4bzKZ2rn2vqWoqAiPPPIIlixZgpSUlI6ujk9obZuxb7ZeXl4evv76ayxYsABDhw5F9+7d8Zvf/AYxMTH45JNPOrp6nVJb2iwnJwd9+/Zt0jeJriYcuLbSoUOHUF1djeHDh3teCw0NRd++fbFnz54OrFnn1ZY2O3z4MFJTU9urileN77//HmazGR9//DEGDRrU0dXxCa1tM/bN1ouIiMCf/vQnDBgwwPOawWCAwWBARUVFB9as82ptmzkcDuTm5qJHjx7tWU2idseBaysVFhYCQJOvBWNiYjzLSGptm5WXl6OoqAhZWVm46667MGLECDz22GM4ceJEu9TXl40dOxYrVqxAUlJSR1fFZ7Smzdg32yY0NBSjR4+Gv7+/57XNmzcjLy8PI0eO7MCadV6tbbOjR4/C5XJh8+bNuP322zFmzBjMmTMHNputPatNdMVx4NpKtbW1ACAuJgBgsVhQV1fXEVXq9FrbZkeOHAEAaJqGxYsXY9myZairq8NPfvITlJSUXPkKE50H++bl8e9//xvz5s3DuHHjMGbMmI6ujk+4UJvl5OQAAKxWK1599VUsWrQIx48fx/333w+73d7OtSW6cvw6ugK+JiAgAEDD1zKNPwNAXV0drFZrR1WrU2ttmw0dOhQ7duxAREQEDAYDAGDlypUYM2YMNmzYgIcffrh9Kk6kYN+8dFu3bsXTTz+NIUOGYMmSJR1dHZ9wMW129913Y9SoUYiMjPS8dt1112HUqFH44osvcOedd7ZXdYmuKN5xbaXGr7vVr19sNhtiY2M7okqdXlvaLDIy0jMwABruIiQmJqKoqOjKVZToIrBvtt1f/vIXzJ49GzfffDNWrVoFi8XS0VXq9FrTZt6DVqBhOlZ4eDinsdFVhQPXVurduzeCg4Oxa9cuz2sVFRXIzs5GRkZGB9as82ptm61fvx433HADampqPK9VVVUhNzcXPXv2bJc6EzWHfbPtGtPh3XfffXjllVeaTB2iplrTZkuXLsXtt98OTdM8r506dQqlpaXsm3RV4cC1lfz9/TFt2jQsWbIE27Ztw6FDh/DEE08gLi4O48aN6+jqdUoXajOXy4Xi4mLPPKxRo0bB7XZj7ty5OHLkCL799lvMnj0bkZGRmDx5cgfvDV1L2DcvjxMnTuCFF17AbbfdhlmzZqGkpATFxcUoLi5GZWVlR1evU7pQmzkcDhQXF3tyYd922204ffo0FixYgBMnTmDPnj2YPXs2hgwZwgA4uqpw4NoGmZmZ+PGPf4z58+fj3nvvhclkwurVq2E2mzu6ap1WS21WUFCAESNGYNOmTQAaphasXbsWNTU1uPfee/Hggw8iJCQE77zzDr9apHbFvnl5bN68GfX19fj8888xYsQI8X/RokUdXb1O6UJttm/fPowYMQL79u0DAPTv3x9vvvkmDh8+jMmTJ+Pxxx9Hnz59sGrVKjG1hcjXGTTv7xWIiIiIiDop3nElIiIiIp/AgSsRERER+QQOXImIiIjIJ3DgSkREREQ+gQNXIiIiIvIJHLgSERERkU/gwJWIiIiIfIJfR1eAiOhy+dWvfoUPP/ywxXUSEhJw+vRpbNu2DYmJie1UMyIiuhz4AAIiumqcPHkS586d85Rfe+01ZGdnY+XKlZ7XHA4H/P390bdv3xaf/U5ERJ0P77gS0VUjOTkZycnJnnJkZCT8/f2Rnp7ecZUiIqLLhnNcieiasmHDBqSlpeHUqVMAGqYXzJgxA+vXr8ett96KgQMHYurUqThx4gS+/PJL3HXXXRg0aBCmTJmCgwcPim1lZWVh2rRpGDRoEIYNG4Zf/vKX4o4vERFdXrzjSkTXvH379sFms+FXv/oV6urqsGDBAjz88MMwGAzIzMyE1WrFb3/7Wzz99NP49NNPAQB79uzB9OnTceONN2LZsmUoLy/Hq6++ivvvvx9///vfERAQ0MF7RUR09eHAlYiuedXV1Vi2bBlSU1MBALt378a6deuwdu1aDB8+HACQl5eHF198ERUVFQgNDcUf/vAHdO/eHW+88QZMJhMAYNCgQZgwYQI++OAD3HfffR22P0REVytOFSCia15YWJhn0AoAXbp0AdAwEG0UHh4OAKioqEBtbS3279+P0aNHQ9M0OJ1OOJ1OJCUlITU1FV9//XW71p+I6FrBO65EdM0LDg5u9vXAwMBmX6+oqIDb7cabb76JN998s8lyi8VyWetHREQNOHAlImqloKAgGAwGPPjgg5gwYUKT5VartQNqRUR09ePAlYiolYKDg9G3b18cP34cAwYM8Lxut9uRmZmJ0aNHo2fPnh1YQyKiqxPnuBIRtcGTTz6J7du346mnnsJXX32FL774AjNnzsSOHTvQr1+/jq4eEdFViQNXIqI2GDFiBFavXo3CwkJkZmZi7ty5MJlMePvtt/nAAyKiK4SPfCUiIiIin8A7rkRERETkEzhwJSIiIiKfwIErEREREfkEDlyJiIiIyCdw4EpEREREPoEDVyIiIiLyCRy4EhEREZFP4MCViIiIiHwCB65ERERE5BM4cCUiIiIin8CBKxERERH5BA5ciYiIiMgn/H/UDr/SGRE2RQAAAABJRU5ErkJggg==", + "text/plain": [ + "<Figure size 800x400 with 2 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot a spectrogram\n", + "fig, ax = plt.subplots(figsize=(8,4))\n", + "image = librosa.display.specshow(S_db_mel,\n", + " x_axis='time',\n", + " y_axis='log',\n", + " ax=ax)\n", + "ax.set_title('Mel Spectrogram Example', fontsize=18)\n", + "fig.colorbar(image, ax=ax, format=f'%0.2f')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "77721fda-90c5-4076-94eb-9df52400d9f8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[-80. , -80. , -80. , ..., -51.141235, -80. ,\n", + " -44.495003],\n", + " [-80. , -80. , -80. , ..., -38.26729 , -45.963173,\n", + " -42.13506 ],\n", + " [-80. , -80. , -80. , ..., -44.52117 , -33.086346,\n", + " -30.997993],\n", + " ...,\n", + " [-80. , -80. , -80. , ..., -80. , -80. ,\n", + " -80. ],\n", + " [-80. , -80. , -80. , ..., -80. , -80. ,\n", + " -80. ],\n", + " [-80. , -80. , -80. , ..., -80. , -80. ,\n", + " -80. ]], dtype=float32)" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "S_db_mel" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "5d26fbdf-4ed7-40ee-acff-a7ad6fde2ff3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 0. , 0. , 0. , ..., 0.00336853,\n", + " -0.00088897, -0.00223042], dtype=float32)" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "y" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "12df42be-2396-412b-ad24-c030a3bc574d", + "metadata": {}, + "outputs": [], + "source": [ + "# Example features: MFCCs (Mel-frequency cepstral coefficients)\n", + "mfccs = librosa.feature.mfcc(y=y, sr=sr, n_mfcc=13)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "958e06c6-4fd0-4d46-a355-476ed7c26e30", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Load a WAV file\n", + "def load_wav_file(file_path):\n", + " with wave.open(file_path, 'rb') as wav_file:\n", + "# Get the number of samples in the WAV file\n", + " num_samples = wav_file.getnframes()\n", + "# Read the audio data from the WAV file\n", + " audio_data = wav_file.readframes(num_samples)\n", + " return audio_data\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "d13193f2-8650-4c16-a3c5-960247a2fa0e", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "#wave.open(\"wavton.wav\") as wav_file:\n", + "#metadata = wav_file.getparams()\n", + "#frames = wav_file.readframes(metadata.nframes)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "233b093c-49b5-4c47-8356-3f7210e9256a", + "metadata": {}, + "outputs": [], + "source": [ + "#ipd.Audio(audio_files[1]) # play audio" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "81038a1b-6085-4ae6-9f82-eed689462887", + "metadata": {}, + "outputs": [], + "source": [ + "# y, sr = librosa.load(audio_files) # y is the raw data of audio file, sr is the integer value of the sample rate" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "a91059c1-4a8b-487c-9548-af7bfa684a4f", + "metadata": {}, + "outputs": [], + "source": [ + "#y, Sr = librosa.load('cars.mp3')" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "2b0fbb2b-fff0-4654-a65c-9a046c01d27b", + "metadata": {}, + "outputs": [], + "source": [ + "#y, Sr = librosa.load('birds')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8926b180-0de7-4489-bf99-45feced5fc22", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "42fc0979-e888-4718-9156-c507110cf6ba", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "faa3a4cc-8c03-4490-8c41-b9914e3c984d", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}