From ee5a2b4142390ad838fadcb371785861550c4e6e Mon Sep 17 00:00:00 2001 From: Kai Karren Date: Tue, 27 Apr 2021 22:54:39 +0200 Subject: [PATCH] Completed the pyaudio streaming example --- examples/pyaudio-streaming-examples.ipynb | 224 ------------------ .../pyaudio-streaming-examples.ipynb | 211 +++++++++++++++++ 2 files changed, 211 insertions(+), 224 deletions(-) delete mode 100644 examples/pyaudio-streaming-examples.ipynb create mode 100644 examples/pyaudio-streaming/pyaudio-streaming-examples.ipynb diff --git a/examples/pyaudio-streaming-examples.ipynb b/examples/pyaudio-streaming-examples.ipynb deleted file mode 100644 index 5c470fa..0000000 --- a/examples/pyaudio-streaming-examples.ipynb +++ /dev/null @@ -1,224 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "62a0cccb", - "metadata": {}, - "source": [ - "# Pyaudio Microphone Streaming Examples\n", - "## WIP\n", - "The inital version of a simple notebook that uses pyaudio to get the microphone audio and feeds this audio then to Silero VAD." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "5a647d8d", - "metadata": {}, - "outputs": [], - "source": [ - "import np\n", - "import os\n", - "import sys\n", - "import torch\n", - "torch.set_num_threads(1)\n", - "from pprint import pprint\n", - "import torchaudio\n", - "import librosa\n", - "import librosa.display\n", - "import matplotlib\n", - "import matplotlib.pylab as plt\n", - "from collections import deque\n", - "from pydub import AudioSegment\n", - "torchaudio.set_audio_backend(\"soundfile\")" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "52c54c77", - "metadata": {}, - "outputs": [], - "source": [ - "# Load them from the utils file\n", - "sys.path.append(os.path.abspath('utils_vad.py'))\n", - "from utils_vad import *" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "725d7066", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Downloading: \"https://github.com/snakers4/silero-vad/archive/master.zip\" to /home/kaik/.cache/torch/hub/master.zip\n" - ] - } - ], - "source": [ - "model, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad',\n", - " model='silero_vad',\n", - " force_reload=True)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "eca6fd04", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "5abc6330", - "metadata": {}, - "outputs": [], - "source": [ - "def plotAudioFile(path):\n", - " y, sr = librosa.load(path)\n", - " plt.figure(figsize=(20, 6))\n", - " librosa.display.waveplot(y, sr)\n", - "\n", - "def int2float(sound):\n", - " _sound = np.copy(sound) # may be not necessary\n", - " abs_max = np.abs(_sound).max()\n", - " _sound = _sound.astype('float32')\n", - " if abs_max > 0:\n", - " _sound *= 1/abs_max\n", - " _sound = _sound.squeeze() # depends on the use case\n", - " return _sound" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "a845356e", - "metadata": {}, - "outputs": [], - "source": [ - "import pyaudio\n", - "import io\n", - "\n", - "FORMAT = pyaudio.paInt16\n", - "CHANNELS = 1\n", - "SAMPLE_RATE = 16000\n", - "CHUNK = int(SAMPLE_RATE / 10)\n", - "\n", - "audio = pyaudio.PyAudio()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "3cb44a4a", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/kaik/Documents/Voicebridge/Repos/vad-comparison/env/lib/python3.8/site-packages/torch/nn/modules/module.py:889: UserWarning: stft will soon require the return_complex parameter be given for real inputs, and will further require that return_complex=True in a future PyTorch release. (Triggered internally at /pytorch/aten/src/ATen/native/SpectralOps.cpp:639.)\n", - " result = self.forward(*input, **kwargs)\n" - ] - }, - { - "data": { - "image/png": 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\n", 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JpNYkYpSIiIiIosAgERFRBJSOlnYYWZdvSmrpX8lfk0jtwAWZ3SzEvlI5PIYo3ajT3GuiIMbAh4AwBGHNh1ot3nIEbd0uAEC7w60ew8mSjCPZX7Baf64RhmLe2jpqRERERJHKqiCRw+WBwxU4SwoRUTjazB+lz9XlVO7o++7kC20dEM1cS4Y7/kDo6alTWWiXKN2YZcIEHCLCPBgiDe+++h/L8Z/le9XjM+nXBIlMJAqy6WBB5VDnGCIiIqJgsipIdPFfluLixz5LdTOIKANFEszx1itSXlOWmb83VByImUSU7XRZQybFd4yjzQQ0wSTNcWgm325Vj7FulweN7Q6s2tMYf6NNxBvwHXrTIuxt8BayV34mwhAuCh4k8v5rNuTt7tc34r2Nh+NqGxEREfVOWRUkWrOvGWv2NqW6GUSUgaQmQ8hYT0jbBfOYVIs1G/oiDa+VFdix4UCzdxuMEVGWMztWdEsMgQ8B/XETaqhVUZ5NXdfp9uDu1zfigkeWxtfgIBJxKNcebY9t34bhaFp/+2QXnv1iTzzNIiIiol4qq4JERESxUvpZDR0O9XHAFNOawtUekwCSfoP6VwpzbNjb0OndTCIaTJSBQhV6Fpp/zWb2kprhVdoArnGbeTaLLsNHqVFUWx9bMCaURIwcbe504qw/LsG2I20hty0CZjcLXbjaZYgeSSnR2uWMr7FERESU8RgkIiKKgNIh63J6Aqao13bC1ALXmiiR2UxmxiCSRVPPyNjZI8oWB5u7AIQ+BnRBoJAZR4b3qZk1Ul+A3leX6EBTZ7TNDSsRM4v9+vVN2HCgBStqG3TbdHm87c6zey/ljD8yj1JuSdOEpg4Hht60CADgMMzO+Mf3t2PSne/E3V4iIiLKbAwSERFFSbnbbjprmSH4E3R2M8MyixBqbRHGiChbdZsUkg7MmBEBx493djN/Zp8SSDna1q2uowRmHW6prxmmTp/mre+TyGnrE7GpQy3ewFlhrk23TeUzDCovABA4u5lZ4eqGdkfQ/eysbwv6GhEREWUPBomIiCKgzQhQOrJSGwny/evRZCsY36nPOIJuGxaL0GQSMUxE2clstjHT2c0Mz4VhdjPl8TVPrdAMAfU+cLo8akBWwp9VZBECs+55D799c3N8H0LbzgTWF7P6zgvGemba4t1m+z7U3KXWY+x0ugNeN26fiIiIspst1Q0gIsoIJp29wBLVgcEfXaaChrGYrEXTyWVfjbKVyxM8k2jJtnrfc03xeJPAazBKMMjh9uizjvyJRKhvc2D1nqZYm59U0vBADXQFCS4rn/e8hz8FANTeexZ++NyXgdvzYXCaiIiIgCzKJHK6Ay88iYgicdOLa3G4xT9sxVi4WidErRR9poM+xNTS5cKWw60AONyMSEs5Vn7/7lb/MsM6Av46YFKaVwJSDjmHJpNIu1wJkuTlWBPRbLUtyWIMNBtjPG6Tfe+o8xfnNrbNmjVXhERERBRK1mQSHWntDr8SEZGJfy/fi5F9i9Tnxint/bObaTqqCJxpSauyKEf3vK61G49+uCOh7SbqDYzHj2l2ntAHTcyCM9ogkbLurxdtVI9Viy/IYrckLkxrNv18rIK1KtguOh3uIK/43mccbpbAz01ERESZK2vuG3GsPRElirHjp3QyBQKLygLmHVarxeJ7zWQHPF8RqUIFWvxDxUTYwKyS+dfW7VSPyfc2HQkY5mmzJu74S8TsZjm2MJdqQXbx60WbonqbhecdIiIiQhYFiSxZ80mJKNnU4tQmvVfjULTgQ1+Cdx7ZVaNsZTa1fahZBBXawtVOt8d0Fi9lO40dTt1QLI82FRCALc0uGAp8w9/MCuDHI2CGOJ54iIiICFk03Ix3yIgoUQKmuTfp0Go7YGYdX+M2tHi6omxlVpA6YB2T17VZfPe8YT47mRLTdbmlIdPP+68y2mrRuoN4OMp2J1NumEwis/OQmSeW7DR9n0IwPE1ERETIpkwi9rqIKMGMgR4h/E+USZqCzW6WqGwAot7EH2QNvs7K3Y1o6XR51zN5bzDKceiRUpcFGO59cUnApo3Bm8AaTZHt5N2Nhw1vNOyHl0lERESELAoS8dqHiBJF29nUEhD+oWi64Sy+92l6ZdogkhHv6FO2Uo4b7XCwTQdbAtZ7cmmt7rkQImywRzkOPVJ/fIbK6otXIrepFsyPcR/Gnw9rEhEREZGZ7AkS8dqHiOIgNCcRt0ffWdMNLfP9qwaGpHnWUKiOndsXQepyhp6diKi30R43is93NQSs19btzSTaWdemLgsXLNEGcLXDzZKaSZRASivdhlpo/vaH/hwuw/sizUAiIiKi7JI1QSJeCxFRoqgdWSVYpJkdyV9/yPvA5fGofbdwtYsUDrfE6r1NGHvbWwCA376xCc2dzgR/CqL0I0McF2Z+9dpGAEpNonCZRP5tawNDbpPjM1ESuskgG4u03R6PxGkTqv3PNe+76NGl2NfYGUfjiIiIqLdISJBICHG6EGKLEGK7EOImk9dPEEKsEkK4hBAXJWKfRESp4kHgkBj1NTVbwfvc6Q5Sfci38EBzYMesLN+Oj7fWqc8f+3gn1u9vjqvNRJnALJMoEkL4h3AGo2zTI6UuoOTxRBeYShWz8w1gXhg/2PsHlBWYvrZidyM+3lZn+hoRERFll7iDREIIK4CHAZwBYDyAy4UQ4w2r7QFwFYBn491frNL70o+I0l242coUSl0PtbaKx5+1YFZk9yf/WROwjcJcK37/7lbdMo6YpWygHGfBAiIh3xvmdW0A160JKJkOB5USQ29ahA6HK+p2JMqavU3etvja5/EECxKZ1yoKXE+/lnEYvsMVJspGREREWSERmUTHAtgupdwppXQA+DeA87QrSClrpZRrAfAKhIgynrE4tfKvRQicMq6vbpnL4zENJgXp7wEwDz79b/X+OFpMlBlizySKvXC1v7C8X6uv5lFda3d0DTGK4w7Vy1/u120j2KbMaqOZsQgR8rxDREREBCQmSDQAwF7N832+ZVETQlwnhFghhFhRV5fYtOd0TyMnovT260Wb1MfKHX3jdN1CADar0C1zeaRpJy7aYrnPr9gXQ6uJMotyjOTnWGN+bzDaYWW6mkTK8ayJoHQ5vEXjV+1pjLodujbF8V61jb6MH2PBanUfEe7EIgJ/RnPv+wB7jnbE2kQiIiLqhdKqcLWU8nEp5Uwp5cyqqqpUN4eIyLTj6TZMX6+sITTLtMPNzLYRqkPLkDZlKyUOUlGQE/V7w9bk0QR3tesaZysEAIfvIDcbDtpTjIFkY5Aoz+69hFPC0Dk27/N+JXnmGxQi4Nyyr7ETWw63xt9YIiIi6jUSESTaD2CQ5vlA3zIiooxnvHk/tl+xWi9Fqut4HwlNJ0wd2qLZgL4mUej9jq4uMl1+3dMrUlonhSiZ4pmOPtwxpRy33ppEJplEmn273IkK1cb/eYzB6P6l3iBQuS+QFrCe74ExWCSg/4zKQ7uVFc+IiIjILxFBouUARgkhhgkhcgBcBuDVBGw3oXhnnohiYdZpVQI/bsOsSBahrXvi63jCPMMhVGdYyuAd3nc2HuZU1dRrKYGc19YeiOp9De2OkMWuvVl+5sPNPMYoDACnOzElFOMabmY4CUhNkMv7r364qzqs1fevkmmk2NfYqTsXqRlIVv16z6/YG7RINhEREfV+cQeJpJQuANcDeBvAJgDPSyk3CCHuEkKcCwBCiGOEEPsAXAzgMSHEhnj3S0TUE4zBHCn1Q8m863hfE0LoOqLKv8bOnPY9wagdQnbWKIso3/sl2+qjfu+G/c0hX1fiPsbC1SYxIjgTlkkUO+PwMn+Bbf15R2m5cdZF46mjvq0bu03qDwnDNGe/eGEt6triLNhNREREGcuWiI1IKd8A8IZh2e2ax8vhHYaWMqxbTUSxMJ47thxuxZDKAgCBs5sJEdhB079f2zENVZNIqtNTB8uOWLWnEcP7FKIshtotROnKE0cCT0tX8GGYQugz/zy6gG1gEDdYkeie5DLUSvIYMomMmUXScD6SJnlMXU63/0mIj8hrJiIiouyVVoWriYjSjdmwMGUoivLa62sOAvANaYG+o6Ytkvuab71g29VSXtZ2VrccalVfu+CRpfjdO1ui/DRE6S3UkLFwnvtiT9DXBIQuyKI9rsyCKvHURtKKZzNKQEdtt2EWtoBhZ8o+I9y3MYNIy+FKzHA7IiIiyjxZHSR6YsnOtLhbSETpy+wUoQxbUf798+LtAACLELpMImW2M2UTT31WG3K7Cl3dEM3jxz7eAcAfpMqxRj9NOFE6CzeNfThBizALfeBWX5NI/6+yTqp1+wI1wWoOGYekBmQSmXyEhg6H+liGyDhyuN0By4iIiCg7ZE2QyHgR1OV049eLNqGl05miFhFRJjDrLLqlJ+hrapDI4x0ypq1/IqPohPo7hprOrEe/HWXKa6LeIkH1ok22K/HepiMAfHXFtPsxDNcCwtcM6wkFOd4gsDScPwKGmcHwryHDSGtnXXtE+06HmkxERESUGlnbw3D4rkRDZFsTEUGadFqNs5ophNAPNxNCQEKa3tEPFSOS0NYh8S83Fq5VbD/SyqxI6hXizuAJ8fZth1vVfZjNbqZ9a+KGm8W+nYHl+b626LelDURrnxuDSOF2rby8x6SYdRokUhEREVGKZE+QyHDBY7yoIiIyY9ZZ9Bg6aQqrxT/crLHDm6XoHW5mso0wQR3j0BHAX69FWaQEuU/5/cf4x6e7dO9X6pnEO3yHqCfFG5wJ9W5dTSKTIJH2zekwq6DLrQ9G+wPHgXXPQq0XjPLyTS+tC3gtHYbbERERUWpkT5AoCF4IEVEo2nOExReUUTpjLpPgs7L+H9/fBrdHetc1Oc2E64Oq2QOaTCZjJ1CbCNmoqTWyaO1BjL3tLQDAsJvfwLsbD4feGVGaSObfZG2mjTZ4ajY8Kw1iRJoC+fD9qz/+3cYgkW95q2+Wt/CZRMFX4KURERFR9sqaIFHA9U7gjUOijOJMVvEO0tF2FgtzbbBZhLps1e7GkOsrz83OM6E6w9pOrLLeSaOrQk4PLjQho82HWnSvbfUNswll2c6j+Mojn4ZdjyiZQn3H4962JtiiPX0aa/l4H6f+6sBpyCSCIVgUUHA74NwT+jOE+lnzBhoREVH2ypogkZFxmmqiTDPqljfxybb6VDej1zPrLCrnjW5X4AxAxvXbul3ocASuF66GkHHISHG+TTPczPuvtqaa9nG3YfrqSAKKn2yrx5d7msKuR5RMyRxu9t6mw7596PdjzNBT1kk1hyGTyBjMMs5qZmzy0XYHQgn1ERvaHeqQVSIiIsou2RskCnLnjSiTHG7pSnUTej1tZ7Hb6fHOWOZbaJwBaPOhVtS3dUe0XVeYlAnjEBKPR9Mp9C179MMd6vqhavAzFk6Zoidu3Hg8UldzyFgYGtDXLEoVJdhrnB3RODzOOBwtUqGypa5+cjmufXpFVNsjIiKi3iFrgkTGayHGiKg34Ox8yeeWEnar9wet3NlXOpBmGTo7IpxiOuxsZAEdQRlQuNojgZYub4FsCAGX24Pa+sD9P/Lh9qC72VXfjqv/8UXI+iREPaUnMni8mUT+58Yp5QHAncxxbxFy+oJEgUEhfXsjnc3MKFwgbOuhVjR3OqPbKBEREWW8rAkSBcPhZpTJLIwSJZ3HIwN+zsbhHlqRTkUfaj0pA2cykxIYXFEQsO7izUcAeDOJ/r18L0763YcBWUXGjCetT7bVYfGWurQYXkMU99/kCN7vkdK0SLVuJsEExYji+TTKcFZjVqFxm/7haNFmEoV+/XBrN6b86p2otklERESZL2uCRMaLp1jvvBGlE8aIks8j9UEiAX+Ax+xOfCKCRO9tOhww1MQjJQaVK0EibT0VX7uEJqsoCi5GhyiNxDv1fCTvbu924Uirf1ioWY1CbSaRcTa0nqIWrlYb4m+PmWibyJtkREREZCZrgkRGHG5GvYEQAo99tCPujhUF55GAxRcjEsL7P6VzZRboibTjFSo48/rag2jqcOr2ITXZD2a7EBC4/60tQbdZW9+OdfuaA5ZbfR9O+YzvbzqM+9/aHNFnIEq0njiVbTvShrtf3xiwT+2+tcfn05/txsQ7345tZ3F8HqUNyvndmFEU767SYQY3IiIiSj/ZGyQKMVyEKFNIKfHbNzejvj2yYskUPbdHqlWhhe+/UOcNKUMXkdZtNwLquQqhO9DhssqueWo5zvnzJ75t+jckfG8Uvlb/49NaPPLhDnzj71/gD+9tjWhmNKJEcLo9cLh6/vum1iTSHGDa43P9/ma0d8c201c8VxhKNpPxppYM8iOKNugT6eXPsp1HGVAiIiLKIlkTJAosXM0LHsp8b60/BAAxd2AoPCmlGkBRuH2BILNOllAiSWFEGiRasq0egLcDa+w0eh+bZDWZ7F8pqP3K6v0Y8cs3NBuQ/nZrtvPR1jq8tf4QRt3yJo5wFj3qAZc/vgy/eWNTXNuI5S+7cn2gPYZcmjpeqbqX5PGYn0oSdf0S6U2yyx5fphueR0RERL1b1gSJguGYfMpEyl3dN31BokgDDhQ9sx+tlFKXuXPc8Erd6+FiRFYhIv6draht8O4TmholulmYvP92R5iBsWZvc8hOr9sky+hvn+zC0JsWRbR9olit2N0Y/0ZiOBWqQSLNd9+lqUmUqusEt+E8owjWnFAF6s1E82ejvdsV1baJiIgoc2VNkCjgWkgzYxBRpjEGGBgkSh6zn62xYHVBjjWqbXogw04/rSjJtwPwnqsc6pTYmiwHpWaR5iynZD6ZDRExTu0dMFOS5vNafR3UbUfaImorUSZSjsWdvmw7ID0Kugc7ryeqZZGegwCgw8FsVSIiomyRNUEiIxaupkxm7Du4PKwbkyzGLAIhlGEg/lv82s5cJH1LKSMP7M0YUu59DyQcJvWBlM7siD5FujYGa4uxY2jsJzo13yW7zfsngnWJqCekerLGv3y0Q32sPT6Vou5f7klAplMUkhX8z7d7g9rR1GSMNFORiIiIMl9aB4m6XW50OBKT4my8o64Wg2UqEWUg4/eWMaLk8UgZ0HkN/PlHdx4RiDzwoqz38dZ6tPmmuNfuTgn6mNUpMTu/ucIMSdF+lzp8ta46mUVAPcASrvp6D9IeJ8qje97YhPG3v4VXVu+PeDvx1A/yyORUT/QHkSPfeioKihMREVFqpHWQ6Nv/XIk5936QlG0rl16MEVEmMl7cM5MoeT7bcVSX4uAtWK2fwixcdo6REJHXD9EGk+raHN79aTOX1OmxA9/b1hUYZFeykdweiaeW1gYE0LWB+W63NzjU5dIHiZZsq8M/Pt0VUfuJIpaAGFE0f9JtluA71J5TlUOk2+VBh8ON577YE/lsX3FcY7g9MqnXKNFs2yyLkYiIiHqntA4SbTrYgsYOJ5o7nAndrrYAI6d1pUzEmkQ9w+n24LdvbjZkComAzC3jzz/cb8MiRBSZRP6tKQEcbQdW2bf2VKZ0fX/3zpaA7X263Ttb2qGWLtzx6ga186e8f4emLosy1XaX018L6aOtdbjrtY341WsbI2o/UaRCxGySItRxqq1JZMw8XrazAZ9uP5rElgG3v7I+abXAlB8zM4mIiIjITFoHiQ63eKdcnXLXO3FvS3st9OP/rFafs2tNmSiwJhG/ycmgFGt1Gn6+nU59Zk20QTpvJlH4TpdF6DtySoBbu8xjMtws1HCSQeUFAICth1sBAG2+IWWhhqt1+z7vsJvfwDf+/oXaeXUxu4ASKJ2Gm7l9wdnSfLv/2NAcIg53codgPv3Z7uRt3Pdzjua0xWOdiIgoe6R1kChZjrR24943NwPg3THKTMYMuGhr4lBkunzBEePP1zgddDSzBCnC1QYCvJ2421/Z4N+vL2il7a+ZZxJ5O4FWk9QMNRtihzcT4o/vbwvYpnHdYF+vkbe8ie2c+YwSpKdjRKEyiZ0eCZtFoLIwRz3+tcH4SGMm6XhmjimTiEEiIiKirJGVQSJIiVfXHADAaV0pMwUMN+OwyaS4/ZX1APSdKSG8HT/tsl317ca3hiQgYhoiqBSQPtTSpS5zqUEi7fAYqe7HSFkrzzfDkeLlL/cFrKs0MVRnsq07MZMLEPV0JlGoQ3BHXZtvHQklPKIrZt0LzrnR3FwwBrV7w+cnIiIic1kZJFqzr1l93J6g2dOIepLx2p6JRMnx9obDAMx/vto+UlOUddOEiG2IoDJE7bb/rVeXKUPBtFtTNm12flPavWJ3g265MrxXy59JFLyt5z/8adh2E0XCGLhMpUVrD3oDRBLqwaUdIprJ51wlFBfNOUj72VfUNmDYzW8kuFVERESULmypbkAwib7+CtbHcUc4wxBROuFws9RJVK5DbEGiwPcoM49pM5OUwtYjqoqCbqvbGX74iBI44teLekJnmmX2SqlMQ+89ALQZm5HOKBlLwk1LV2In6zBSaqpFk4Ha7Ruaf8lfPkNeTvoE84iIiCjx0jZI1FMD+TlMhzKRsdPO2c16RqJ+ygKAO8JOppZZsWtlyKwyHCTPblGDSS2dwTub3VHUY+NpkpLtQFNnQEH4nmSzCNPArTdQ5H2sC8Qm8QbTDc+vSdq2Ae0Q1cjfo9Rv/KK2AcW5Nt/7JUQaFRsnIiKixEjb4WbG4Q3KtM2Jxs41ZSLj8cFgZw9KQJ+oy+XB1sPRF3w2q6H2zLI9AACnL+jU5fTgyaW1AIDHPt4ZsL7y3emKokNe3xY4FE2ry+lmjRKKS2OHI9VNUNmt/oPcLaX63dYGkSKZnTBWzSGCu6miLVyt/L0xy2wkIiKizJe2QaIDTZ265//4tDau7ZlN7wxw6nDKTMZvLYeb9RyzYtDpINrvQCIDi2NvewtPLNmVsO1R9kmnGKO2LR6PVG8muXWzm0XW4FgKuyf75pXNZNbDcDodbvUcowxVTWagjIiIiFInbYNEgUMhknPRxM41ZSLj95aZRD0kjX/Mkd7VV4agJfors/FgS2I3SFkl1TdszPauzGKotE0bFImmvdFm2SU7+BJLkKjL6Vavy5S/N44ohqwSERFR5kjbIJFxmHu8HZpg799vyFgiygTG7zOHTdJD72+LaL3aox0AEj+FtXaIDlG0Up2Voj0etEeG2yPh9AVDtEGRaM657VEW5E72+TyWrXc63QFBoVT/zoiIiCg50jdIZBjS4UjSxcgDb2+J6/13v74R/1y2O0GtIYqMsSZRqCnKicwkOvssXYfhUWZIp4CDNmDU2OHEpzuOAtBfh0TT3nc3HsLmQ5Fn2qU6q8pMt8uDbrc+2PWD577EkZauFLWIiIiIkiV9g0SG/saSbckpXB2vv32yC381KQ5LlEzGLkQa9a96vd4SCkl0XJGBSopHMmcLi0QkX1/tOtFk+/zkP2vw43+vjnj9ZA+Dj+VQ7XYFZhJ9vqsBmw61JqhVRERElC7SN0iU4O2x+0K9yYdbjuieuz0ezi7VU3pJlCjRX5fao+2J3SBlFZcnxcPNolw/2myfaIJKyQ64BpvII5Rup8e07pmTdYmIiIh6nbQNElkzqL6FMeuJKNl+9dpGAP7v3o0vrsO/Pt+jvr52X1MKWkWZJNGd8uW1jWiPYSYnIiC9plOPJEYTbeZTNMM7kx3vjyVRqdvlMR1i1+GMrt4SERERpb+0DRLl2awJ3Z6UEoU5id0mUapp45NLd3iHZB5u6cK5f/4ULV3O1DSKohLDREMJ0dKZ+IBOFzuMFKNkDzdLxM2cwlz/NUS0QVZ3FJ8v2ZlEsRTG/mhrHdbtaw5Y3ulgYJiIiKi3SdsgUU/eUzzSysKLlPmUC/8Dvhn7Hv5gOzvtcTDrSMkgyzNRZxK+G+mUDUKZJenDzaL4agZbVRvoiXb692g+X6pPMcHiaav3NgUEtdu6+TeGiIiot0nbIJFRjjW+poa65uqMcnpaonSh/V4rNTKOtjkAAI99vBNbD7OoaKyCBdgSHSTqTaWk0mmGKsosyc4kSsTWtXWIOhxu3PjC2oi/8/ubIr8Zla5F4IUAbBb9tVh9azeaOhwpahERERElQ8YEicJdNB1o6gxfDyPI7bHtR9riqqXBkkSUMprDQikg2tzpH2bW2MEhZ7FiFlb0tN89omikunB1JLRBoi2HW/GfFXtRW5/4gu2pjhEF271HSth89SLtvn9fXLUPU+96t4daRkRERD0hY4JELo/E0JsWYehNi0xfn33vB/jly+ui3m5Rrg3XPLUCP/r3l/E2MayhNy3inXZKKO3FvJLh0qYJeDa28w5vrLp7aNae9MwZiM3Zf/oER9u6U90MykA9dbwlSofvPLvw/z5OfHZhmp4VWrtcsPrGmwnf7bEjrd7j3cVrGyIiol4jfYNEMVwjtYS4ix3szpySLfDepiP435f7o98pgNqjHRGv++LKfTHtgygcZfYcbSCynUVFYxas45dpndme9tPn16S6CZSBMi1zT3tujSSDrl9JLmSEKUKprkkUzCurD6i/J2Mgq4vnRSIiol4jbYNEsdxJs8VQt0ibPv6Xj3ZE/f5IeXz7efaLPWHWJIrN7qMdWLq9Hg5NkIj1tmJ39ZPLU92EjNTI+iQUgy5n+gQZIhlCrj23RjJc/VBLN95afyjsemv3NaG+NX2z8ZTguTHelWlBPiIiIgoubYNEoThcHjy8eDsu/stSAFDvztlCziUdPuiUqKFgQ29aFHAxqNRU6mCnnRJgeJ/CgGUHm7twxROfw+nSF1fVWrm7ER9sOpz09vUG24+0pboJGSnV9VQoM3WkUdajCHEpkWvzXjZ1aoJaLV2R1eLadTR0/SIpJc7986e6m1fpRmmaMSuKQ+mJiIh6j4wMEjndHjzw9hYsr21El9ON1XubAAA5Nv/HufgvS3GkJbqp7ZVZoWLhcnsw5tY38e5Gbwf8O8+s1L2uDAVix5MSIc9uDfpat8sfGPrvyr04rDkOLvrLUvzEMBxISqmrY0TAq2sOpLoJGWvd/uaoz71EmXIOUm5GdWsyZxoirP3WEOYa467XN8besCRTClUrjCEh7c0JIiIiymwZGSRyuDwYX1MCABh/+1u45LHPAPjv8DV3OLG8tjHqgExTHDPz7G3sRLfLgwNNnaavZ8DELZRBQs0E5NDUhtjb0Ik/f7BdfS6lf7iAMgTy0Y92YOIdbyeppZnlly+txeMf78APn0t+IfveLJo6bUQA0NGdIVm2vliJtgZPe4Rt33yoNeTrmw62xNysZDNmCBqfn/DAYny+82jPNYiIiIiSJm2DRKHuSTncHmz0XUx5JOB0e9cuyLEBAA62eAM17ZqhNpEOgYg15f3vn+wCAGw84L/I06agezQN8KRxKjmlv70NHdh6OHgA1Jj2bzUMw/RIiUVrD2L4L98AAKze05TwNmaqZ7/Yiyc/rU11MzKeErgnilRnhtS0MRuJ1umM7Lrhk+31IV+3WdL2kiyia6jtdcyUJiIi6g3S+Iok+EutQcb/V5fkAQDqfEUflX+H3rQI7Q63OmVrKHPvW4xd9aHrBlz2+Gd4e8MhvLfRX9vln8t2AwD+s2Kvumzyne/gi10NAIDfvbNFXa50zo22H2nDnz/YFraNlN3qwkwxrgRNFQ3t3eowSABwuaUuy84YRAKAF1buxbp9zerzrYdbsXJ3g24dh8sT8Ww96WxfYwc+3HJEfX6gmUOliHpSbX07lmVIForZKS9RRbc9aXw+jWQyEYfLE/B3goiIiDJP+gaJQjjQ1IU8e2DTlToYLZ3eu3qtXU51+FekGUIN7Q7M/92H6vullPB4JJxuD7pdbjS0O7BsZwPe3XgY33p6RdjtXfLYZ3j84x34hyE7obXLiRdX7tMt+9+X+/G7d7ZG1E7KXsGmZldoaxIBwKtrDuLap1eoGUYOt0edgaqly6kWt5ZSYofvTvDP/rsWdy/y18f4xQtrceGj+uyQ0/7wMa59Wl97KxNd9vgyXPUPzmSWaK1dTjR3OtEYYb0Wyl63v7IejR2xD/dOtWiKNrs9Ekdau3CpSbZdGseIImrbJ9vqceGjn+GBtzaH/TtFRJmvqcOBxZuPhF+RiDJO2gaJQl1efP3vX5jeuTvS2o0Oh0udjnZ3Qwfu9hWCjHZ61i6nG5PufAfDbn4DVz+5HKNueRMXPLIU0+9+FwDCZhtp3fPG5oBlL63ajxv+qy8grNxF3HCgOWD9YPY2dODNdQcjXp8y2/6mzqB1rxSHgmTCrKhtVB8/ubQWANDY7kCzrxbXe5uOYMGDH2G3bwYe7TTMR33ZS9oA1K76dqzZ1xT1Z+hJ6/c348s9jbplOzRDIv67Yi/2NXp/npzCObEm3fkOzv3TJzj5wQ/ZYaSQDqVZofNQ39Z2kxlK//DeNgy9aREONHXiD+9uVTMsh1cFzkJ5yWOf4djfvI/PdzWgqUMfQE3n4ySSlu33/W16+MMd6t8RwPu5Tvu/j9XsbiLKLKv3Nqn9Ka0/vr8dVz/Jm2xEvVHaBoli0el0Y/ztb+Pu1zdCANhztANv+qai/+aT4bN+tMbe9pb6+KOtdQCADZp6Qyt3Nwa8JxoHfR35hxf7iwo/8uEOAFA7rQebO3HLy+sAAI9/tANDb1oUsJ1HFm/Hd/+1Kq62UGpFMmTrxhfX4tU1BzDn3g/wo3+vDrnuziABzMv/uixgWX1btxpUvdaXGbds51HYrUI3K1pDhwNWi8B+Q0DFZjJULZ1c+OhSfOWRperz3UfbseDBj9Rj+ucvrFVf0x7zlBi7GzrQ2OHEBY98qn7PtCKdFYp6tw6TwEtKRRmrUb7HJz6wGH94fxvufdN7Y6i8ICdgXe21Q2uX/pjI9GnktTco9jb6b2bUtXZjy+FWPLW0Fi9/uT8VTSOiKL385T58vNWbJfTiyn34m6/2qpZSe9WV4ecuIgrUq4JEH/hSHlu7XZAILBJpHIaTSn/5yBsQeuDtLfjqE58D8BbEtFoEbnxxLRZvPoJfv74J//p8D55ZthuPL9kJAAFDN5S7mrEW3Kae8/HWOjzwVmBW2djb3sKTn+7CWX9copvdZuQv38DyWm99h/8s34vfvrEpov0cjKKmztE2R0DB2I0HWpBrs6LD4YaUEm6PRKfDjXy7Vc2gU+4IKx3/K/66DJc9/hlaupy445X1eH2tfgr55z7fjf8s36sGxOrburH9iH6mn1fXHEBzkCEn3S432rpd8Hhk0IyfLqcbP/73l7qOVrduBiIXTnzgQ+/+eUe7R63Z14xfvLAWCx78UF3W1u3C9LvfxcOLt2PVnkZsO2w+89O+xo6MmR6dotfQ7ki7DJNY83mUenCPfbwTB5s7w95Muuv1jdhwoBk3v+S9GRRq1sp0ptwq0M4Q+/1/rVKzOI+2e3+/f168HT/5z+qY9nG4pQv7Gjvwt0929YpaeETpyOORWL/fO5rhJ/9Zgztf9WYPKYHw5g6nel0IeEdwAMjo4cJEZM6W6gYEl/iLAGNB33TxyfZ67KhrQ47Ngm6XB00dTl365q3/W68+nnb3u9jy69ORa7MC8AeNDjR1YmTfYtS1dkMIIM9uRVGu99e7fn8znl+xF3edN7EHP1XyLN1ej6///Qtsv+fMVDclKve8sQmbD7Xi56ePBeCt3/DVv3kDhG9tOIQNB1rw+c6jGFdTgpYuJ1weic93HsXUQWUAgPYkBAKv++dKFOfpTwMr9zR6i1IDeGbZbswbVYVcuxUuj0ct6nyktQv5ditauly6DLfJd74DAHjqs924783NeP47x6O6OA83v+z9Dv93xV688N3Z+NrfPsemg61Yd+epkPAWPP3hc1/iqtlDccc54/HsF3tw8YxByLF549jXPrUCexo6MLpfMWrr2/HOT04M+Cyrdjfif6sP4DsnjcDYfiUBr1/0F39GkcPtYa2cHrbINyx2RW0D9jd24ke+zuIDb3uL+pfl27H6jlMD3jf3vsX4yrQBmD+2L8ry7TjQ1InLjh1sug+PR+LhD7fj2yeMUL87gDdb75Pt9RhfU4J9jZ2Y4jumKPXueWOTLpjbW9zw/Jqw67y78bA6qcAd54xXO1zxEkjGFVRwNqsIuL5q63bhqaW1GNanEEfbQp9rW7ucEELgxZX7cPbkGlQW5eper61vx0m/+xAnjq7CR1vr8OLKfTh1fDV+vHB0VO081NwFt5ToW5wLKaE7R8RDSgkh0jurlrJTU4cDTR1ODO2jH/r6xrqDqC7JRZ+iXDz3xR6s2duMz3YexblT+uPVNf6bfMp151bfTZwpd3mv8WpK8/D3q47BOl/JgXX7vf8+sWQXvjVvGGaP6IM8u7ef0trlxM66dv7dJcowCQkSCSFOB/AQACuAJ6SU9xpezwXwNIAZAI4CuFRKWRtqm9l2o2jBgx9FvO6GAy3417LdePCSqeqdu+1H2jCybzGO+c17AIDpg8vw0vfmAADO/tMnAIDbzh6Py/+6DCtqGzFxQAkeuGgKxtUEdqbNtHY54XRLVBQGps8D3s6ZxSLQ6XDje/9aiX9cfSyklGjscOKLXUcxc2gF+mgu/OK5qPpybxNcPVS7weX2wGoR2FXfjuFVRbplxvZ3Od2wWy2ms4UB0K2/t6EDS3f4M9027PdmEN352kZ8Y/ZQ7Gvwpuqv2duMtzccgkX4C7LHwiKAYD8y45CH9fv92Uy3vbIBvzh9DGwWgbYuN+pauvDfFXvx8xfWoiDHqntfcZ5Nt629jZ14ceU+HDe8EgU53swkJWNAyXaa5AsqKbYebkVdWzdueXk9hlYWYs7IPgC8tS5qj3ag9mgHAO/3Z+pd7+LRK6fjlTUHcOWswWo9jEPNXRhTXYy9DZ2w+zovh1u6sOmgP1Pl5pfWqXfvqWdd9JfAgr2APgvBaHltg26YSp+iXJwyvhqAf7jmFX/9HFXFOXh1zUH0K8nDuv3NuOu8ibj2qRWYO6oP7nh1A2aPqMTSHUex7s5TIYRQA+laexs6MKiiwLQdShabcvGrYCcxdtqZFnuTpTuim60tkcNde/ryKdj1WkOHE8fe8z7G9SvWLf9yTyMmDSiFzWrBtsOtWPh/H2u2JVGQY8NXpg+A3eoN4ih/L5QZ8DYebIHNKlBaYMfYfiXYUdeKf362G2+b3DzQOvtPS1DvC1hVFObgN+dPxOh+xVjw4Ee445zxeGTxDvzlazMwY0g5Fq09iC6nGxaLwPlT+8Plkerw6o+21mFgeQGklCjOs+O4376PVbctDHp9FIkDTZ0oyLHC4fagT2EuPFKaXmdkEofLgy6XGyV5dt3y7UdaMaKqKCGfrcPhgtMlUZBrhVUIWCxCzXIRACwWgdfXHsBZk2oghIDT7UF9WzdqSvN17ex2uVGYY4MQ/ms15VoP8M56OqDM+57mTic8HonSfDssmus9l9sDmzUxgcdVexqxZGs9fnTKKNzxynpMGVSGC6YPDPmeLqcb7d0uNcja1OHAVf9YjtV7m1B771m6mmffC1Km4u0Nh3TP27u9f/OM2Z4Hm7twxkNLAABC6Et6LN1xFKdNqMatZ43HoIoCvLnuEH7x4lqsvn0hykyG4GrF+jOUUqKpw4n8HCsONXcFBMUUXU438uxWOFweWAQw+94PsOiH81BVnItDzV1o63ZhZN8i3XuOtHahMMeGQt/1gvL33uHyqIFmt0fC5fGoN/CDcXuk+p1yuDxo7XIGBMUzQZfTjTfXH8RXpoX+TgLA5kMtGFheYHq9Rekt7t+YEMIK4GEACwHsA7BcCPGqlFJb4ewaAI1SypFCiMsA3Afg0nj3bdoe+C+QevpuWk+5wFdjZcaQCqzb3wyrABZvrsN3nvGf9FftaQIAdbgSAPxm0Sas8qW/r9/fgjMeWoIPf3YS/rpkJ2qPtqPT4cYPFozCSaOrsHpvE/Y1duKBt7fgrR/Pww3Pr8GXe5qw/NZTcMvL67CnoQN2qwUXTBuAJz7ZBZfbg/UHWvDARZOxeEsdnvx0F/63+gBW721S9//oldPhcHkwbXA5LnnsM9x57nicMq4auxs6MKKqCNuPtGLxljpcO284AOD+tzajod2B788fiUEVBdh+pA1VRblq5sHmQy2467WNuHD6QKze24S61m68teEQ/vr1mZg3qg8cbg9K8uzocrpx/bOrUHu0A7+9YBKOGVqhtmnp9nrUHu3AZccMgkdKdDq9FwrdLg/G3e69aD9rUg0WrTuIm88Yi4rCHDz0/jZcOWsIqopz0djhwKDyfIyvKcUJDyzG1XOG4oRRVZg+pBwfbjmC577Yg0tmDsLJY/uirtV7oVvf1o159y9GoSbI0trtUr+vFz66FBsOtMAqBNYfaMa7m/zT18cqnpja/W9tQY7NAglv4Oepz3YDgC5QJwTgMsnU21XfjiOt3ej0DYvc3dCB8x/+FE0dTtgsQrcNu1Vg08EW7PYFglbtbsQPnvsS7/zkBPXCHvAe16v2NKK504nfvLEJGw60YPPBFvUPu9lMZWYzCVH6WbT2IM6aXAPAe2xe4RuKu69RX6z9W0+vwNA+BfjB/FEBEwAAwE0vrYPbI/G077uqHEPK+XDSne/AIoAvbjkFDe0OjOpbhNn3foAZQ8rx+tqDqCrKxXPXzUKO1YrCXCsKcmz4y0fb8en2ozjU0oWvHzcEF84YiAff3YqvHz8EFzyyFA9dNg2N7Q5cOGOgehG4t6EDu492YFR1EfJzrOh0uOFweeBwezC4ogBbDrViTL9i2K0WeDwSB5o78dhHO7HlcCv+dPk0lObbkWe3oqnDAYtF4MlPd+GMiTUY2bcIB5u7UFOahz0NHRhSWYgupxv1bd3YcKAFHo/EKeOr4fZI5NoscLi9F68ej8S+xk70L8vDrvp2bD7UirMn1+BwSzeOtHZheFUR1u9vxoT+JSjOs+Ofy3bj4hkD0dzpxN6GDjS0O3DssAoU5NjgdHvUi2atL3Y1YHz/EtS3dsPlkepx+ca6g2jscODKWUPUdX/239W6vxGUmYL9ednX0AGHy4Oth/WBwK88shT3XzgZw6oK1UkUFA8v3oG6tm4MrizArGEVOPGBD3HSmCoA+uHDa/c1Y+0+77CYsf2KseVwGy56dClW7G7Eoh/ORW19ByYPLIVHSvQtzsOmQy26jKaGdge++69VuOyYQQCAX73mvWT90wfb0O304LOd/iDfqt2NeGXNfrR0uvDNOUPx909rMbAsH/uaOlFZ5O30vrvxEGwWC1weiTy7BaP6FqOqOBdVxbn4aMsRON0ebDrYiutOHI4/f7AdV8wajBW1jahv60Z9azf+uWw3Jg0sxafbj+KXZ47FE0t24YpjB2PW8EpMGFCCv3y4A0P7FGLhuGr8dclOfP34oXhnwyGcObkGbo/EQ+9vw1Wzh+Liv3yGN380Dxc+uhT/+tYsDK8qgpQSn24/im1HWnHC6CocaOrEMUMrkGe3YuXuRgzrU4iKwhw8s2w3hAAumTkITR1OONwe3PHKejz+tZnY29iBvsV5+GxnPQaVF6Ct24WSfDuG9ynEweYu9C/LR5fTDafbg6eW1mLF7kZsPdSKA81d+OTG+fB4gKriXPW66r/fOR79y/Kxv7ETM4eUw2IRaO92weWRKMix4otdDVi/vxlXHjcE2w634vfvbsUJo6pw7QnD0elw45/LanH+1AE49p73AQB9i3NRkm/HHy+bhjP/uET93b1/w4m4/tkvsfu0Duw40oa8HCue/XwP7jhnPF5fexCTBpTiyaW1qCzMQafTje/PH4nvzx+Jf3+xBzf5biQdP7wSn+08imvmDkNjhwMvrdofcFNM8fjXZmDa4HJUFeeivdulCyzsbejE4MoC/O/L/ThhdBVK8+349aKN8Hgkrj95FB77eAcumDYQy2sb8OKqfVi7rxmnjO+Lpz7bjaJV+3H+1AHY09CB8sIclObbsf1IG2wWgbc3HMIb6w9i8oAy/HPZbmy++3Sc+MBiHG7xB3beWn8IT39Wqwte59ktAZMAdfuCJ8qlWVu3C8f85j20hhjybRYkfnvDYeTarbh27nC1XMbUu97F1l+fgcMtXXhn42FcMG0Ayn2B1aYOB7719Ap1gpXTJ/TD/106Fa1dTuTarHBLiRybBR4p8fdPdmHKoDKcNLoKn+08iplDKvD62gP46fNr8I3jh+Cpz3bjD5dOxTPLduNnp43Bk0tr8b2TRmDd/mbc8vJ6/GjBSDz0/nb8/aqZONLajXX7m3D88D646NGl2NfUiRtPH4uPt9bh2GEVqC7JxUPvb0NZfg7e/skJaGx3YNrd7+KSmQPx8pf7sfSmBehyuvGvz3fj31/sxXdPGgGHywO3R2JsTTFOn1ij/kzW7mvCuX/+FG/9eB42HmjBsp0NeH7FXvz9qpnYc7QDY2tKMLZfsS6Q1trlxANvbcGcUX1w2oR+2NfYgW2H23D8iErk2a1o63ahwG6FxSLw+c6j6HC60dHtxvefXYWlN52M/r7ApnIz7W+f7EKHw4WLZw6C2yNRXpCjfkdX7m7AlkNtuPSYQWhod6CqODB4taOuDX2Lc7F2XzN+8p81mDSgFCP7Fqv7aGh3YH9TJyYNKMW+xk6s39+M7/5rFUZUFeKl783B88v34NoTRqjtcbq9v1eH79zu9nhv6r614RDOnFiDQRX5cHkk7FaLOszRLSVybVY1WNfpcKO124lDzV3oV5qH8oIczP/dh3jpu7PRtyQPHo+E8H2nHS4PNh1qwfTB5Xju890Y379UzXB7ceU+LJxQjXy7P+Dc0uWEw+VBn6JcdLvc+HxnA0b2LUL/snys2duEMf2K1ZuGje0OlBfmQEqJDocbHimRZ7fC7ZHIsVrUAHawRAItj+9z7j7agX6leXj5y/247JhBONDUicEVBXB5JBZvPoLZI/sEBN/qWrvV61ajwy1daGh3oKzADqdLol9pXsh2iHjHdgshjgdwp5TyNN/zmwFASvlbzTpv+9b5TAhhA3AIQJUMsfP+IyfInIvuj7It2ZeBBPRMMEw5iEf1LcK2EHd+o/kdjK8pwUZfDZ6a0jxdLR0l88RIG1joV5IXdFacolwb2rpdqCzMwZRBZWq9Ki27JkV+2qAyfBlFZ2VC/xJdIXNjwENrTHUxupxu7G7oiHj7waTTdzxUdpKif2keCnNtQb8z2u9uJNsDgMIcK86Z0h+vrD4QUE+JMt8jV07H1EFleODtLWlT5HZYn8KgM1qW5NnQ0uWK+di8cPoAfLq9HuP7l5qep8wow25OGdcX7206gktmDsTzK/bp1ikrsKOpw4nCHGvAjFwT+5dgveb8ZeYr0wbg5S/3Y9rgMnzpu+mgmDKwFGt8HfTyAjuOGVqBmtI8NYCsddMZY/HXj3ei0+lGh8ONMdXFGNqnENfPH4lz/vxJRJ+Xss+F0wfgxVWhj3+rBYikXu74/iXYGOb73lPmjeqDJdvq0bc4N+jwwlxf6QEzF80YiBdW7jN9zei8qf3x3qbDqC7OC5jQorzAjpvPGIdfvOidvGHSgFKs89WiuWHhaDz47lZ13TMm9lMngaHo/Py0MeqNTUD/c041u0XAmYCs/Eiv3QDvd7KutVsNVs0ZWYlvzRuO655eETBkdUhlgXrTMFZzR/YJqE+rGNm3yDSTVfv3LZyB5fnY19gZNGh44+ljUJqfg+dX7MWAsnx12H0wA8ryYRHApccMwu/e2ap77cGLp5jeFBtUkY+9DeazHivnG7OAoJa2T3Pq+Gq8s/EwrjthOB7/eCdOHV+N86cNwH1vbk5IP8YoWNvmjKzEp9vNM3LLC+xo7HBiQFm+OorAqDTfrs7ebKT9bkXy/R3Trxi7j7ar7dT2Ub8/fwTe33QEmw8F1tXU9jPvu3ASbnxxHfqX5eH+C6fgq3/7HMV5NhwztAIDyvLx/qbDGFRRgM93NQRsJ9Tn+da8Ydh9tAOHfcH6t3zZgL84bQze3nAIeXZr0G0CwMGnfozug9tMI1eJCBJdBOB0KeW3fM+/BmCWlPJ6zTrrfevs8z3f4VvH/MhFbEEiCi6ak3i6s/o+S2/4OEpA2SMNWXCaDqdVCLilhN0qfNHlxO4/2PcimcHHUEG1cPu2m9S/ML7XrrkzoWyrt2YWUqBknO/4/aFks2qGymSSYMeGRQAWEfpcH8l2tOwWAYjIa0wm42fKc0H2CvW7z4Tj19h+47WY8WaH8rdUm+0RyT5EGvQ5tNcByuN07gulc9uo9woVJEqr2c2EENcJIVYIIVZ0tMQ3xXy2CJe1pqS1mZ14hOHfUNsQwrsv7brxzH4eSbqdMOxDeWgWIBJBHqvLRPDnkX6OYKsp77cK//NIh9p7pP93owQyAP0faQl/Wmaia6+H+oOUiF2Z/Rwi+dGE2rf2IkzZlvZ3qBTCNm6Lf3t7J7PvU6jvtUVEdsxbBJBj9a+ozXizaI51YxtiPS2KEO9NVVUS5WI/WDsyt1pKesrUWbuCtdojEVX9wEjWdHpk2ACR9nsZqtMeyXFrtjzYFuM5HmxhTkrxXG8ZGa/jItl0uGumZJ8L0qU0U7hrk0T+nqIR6W6N7Teec4ynIOXwiTRApOzDeNiF+vsWrXDbUb4r2jZor7NDbdPsOLRaRFTHSLTHkyIVAaJYfy+p+p73FOPnS9bH1f78Iz3HRdsW49+5aH53iQgS7QcwSPN8oG+Z6Tq+4Wal8Baw1pFSPi6lnCmlnFlQUp6ApvU+xl9uuJNKqAukSDvPbo+ElIHBmXhOaJHcbTH+oQnVXhnksbpMBn8eyecIdfdIeb9y3eqR0Q07MQY4zLav9FUjDa4lm90a2V7Mfg4S5h0HEWFwTSlmarcI9ecV63exl/+dy1ijq4vCr+QT7a9eG5gNt57DpDOqfb/ZhWesp0UZ4r2pCh1IGAPWga9T4vAucnhW4e2whfoTFOmPMZLjNppfSay/PqsIH0xL5HfDeB0XyabDXTMl+6ubKfHTVB3DsezWIvzXraY3VyPcji2CIEqov2+Dg0wUEWpbIV8PdfMzyGvKYrPj0O2RUR0j0R5PqRTq9xJKb/9bZfx8yfq42p9/pN+JaNti/DsXze8uEaXGlwMYJYQYBm8w6DIAVxjWeRXANwB8BuAiAB+EqkfUWyQjJVn7y60uycXhlm5YhHe2HWMNnzV3nIoz/vCxOm25GWXsqdYr35+D8x7+VH3+p8un4b43N2NfUyde/8FcdbY0MyeP7Ru0rsYJo/pgzb5mTBlUho+31uEXp49BQ5sDB5u7cM8Fk/DMst144O0t+OTG+cixWXDsb7wFCcfXlOCGU0fjkQ934Np5w9QC3bedPR53v+6vj64MywKAJ686Bs9+sQd3njsBVovALF9xwwFl+bjh1NEYXlWEPLsF331mFXbVt+ONH87D62sPoLXLhariXJwyrlpX/FDCG6DJtVnQ4XDjtAnV2N/Uid1HO1CSZ8N3TxqJW/+3Xl3/kSun43dvb8HO+nZcNGMgzppcg6t9BZV/dupo3Vhj7e9UOzZXm3qq/CGP5LCJ9WIhXPaFR/p/v0631I1nt/qiO25D++aPqUKu3Yq3TOoZGPdptwg43BJXzBqMZz/foxYM/8fVx+DqfyzXHU9/vmIarn/2yxg+qV6vPwllmJvPGItvnzgCAHSFQ4MJNWY9ElMHlWF0dREunjkIFxtmXRtdXYRZwypR39aNr0wbgOv+uVL3ulIf4Pr5I/Hnxdtxy5nj8H/vbcWjX52BPJsFFYU5eHvDIby1/hAuPWYQ8uxWHG134L2Nh9HW7cI35wzD0h1H8c25Q+FwedC/LB+/f3erWm/kl2eOxaDyArilxPLaBvQtzsMDb2/BnJGVeOTKGXjova343vyR+MN7W3HrWeOx8WALPttxFIs3H8GK3Y148bvHY2ddO2YNq8RH2+pw2vhqvL3xMDYfbMFXjxuCG19Yi7X7m3HfhZOwr7ETj360A3ecPR4vfbkfp4yrxrXzhmP0rW9i8c9OwuMf7cDirXUAgB+dPApja4rx4ZY6DO1TgBNH9wXgnd1wf2MnbvjvGkwbVIbVvqKON54xFmv2NuGZZXuwq74N/77ueDS0d2Nk32IMu2lRrzgGww2f7e1iGSYxqm8RivJsyLVZsGxnYL2EP14+DdMHl2HufYtRWZiDo+3eotPK3xht/Nb4858+uAxNnU4cP7wSq/Y04u7zJuLW/63H1sOtAe0Mdc1iJt9uQadJ/Qyl9seUgaVwS4nxNSWYNKAUJ43piyv+ugxOj8Sh5i48d+1xuPyvy/CrcyfgN4s2weH2qJ+lf2keDjR34cpZg/Gvz/fAKgT6lebhJwtH42f/XYM+RTl46LJpuPKJz3Hj6WPxpw+24YaFo2GzWnDHqxvUc9H9F03GL15Yi399axaEAIZUFmLOvR+oP/dd9e149MrpWDihHy57fBmOHVaBb84Ziql3vQsAeOvH8/DuxsMQAH73zlZ8etPJePyjHTh36gD8/IU1mDywFMt2NKC0wI5zp/TH+v3NuOHUMXjy011wuD0B9dGumj0UTrcHV84aol5X/fHyaXju8z1o63bh6jlDMXFAKQ63dOHznUcxoLwA97+1GY0dTnxr7jA88ckudVvv33Ai3lx3EL97ZyseuXJ6wCxdkweWqgXNAah126Lx7ROH47GPdkb1Hq1LjxmEq2YPxRvrDuKnC0ej2+XBrvp2/HPZbvzs1DGYfve7+OGCUagpzVNnWT1/an/8b/UB5NutulqL2ud3nTcB2w63oU9RLmYOLcezvp9fXWu3Wt8TAG4/ezzuen2jrk3DKgtwoLlLV+sq1+bftvawUK61Ij2kg537pg0qQ3VJnlojBQA+/vl8LNt5FL94cS3+ePk0HDesAn1L8rB0Rz2u+Ovnuve/9L3ZuOu1jThlXF8U59nR7XKjX0kefvjv1QCAP1w6Fb9/dytuPH0s3t90GC9pahiePbkGr6/1/vx//+5W3TC6/mV5ONDUhTvPGY87X9uIX5w+Bh6PVK/LlZp/dqvAsD6FauH9Z66ZhcJcK77yyFL1Wv3+iyajvq0bH22tw+c7GzC6ughNHU4cae3GyL5FeO+nJ8Ljkahv68aqPY34zjOrcO28YXjui73w+AocVxXnoq61G1YhcP9FkzGupgRj+hVj2c6jcLo9uOofyzGmuhiv/WAuvvX0Cny8tQ6/v2QK+hTlYm9jB2YNq0RzpxN3vroBWw61wuEr1LZgbF/cee4ENPjOnc99sQevrTmAdocbF0wbAJdHYmB5Pi6YPgAl+XZc+9QKrNnXjPdvOBGvrT6Aa+YNQ32bA0MrCyCEwBe7GvDGuoPodnkwZ2Qlrn/2S9x/4WRYLQKjqouws64dTR0OPL5kJ04e2xc769p1hdKVa/mVt56C5bUNmDigFIvWHsSVxw3B5zuPorHDieI8G97ecAgvrdqPBy+egrICOw42d+G44RXYcKAF24+0obIwB2dOrsH2w204dlgFltc24vkVe7H1cCuumTsM4/uX4PQ/LMEz18zCnoYO5NosaHe4MKSyEO3dLvzfu97rtLP/uAQXTB+AK2YNwZZDrfjVaxtw34WTsXTHUYyoKsQp46uxs64dmw+14JKZg7DlUCuufOJz3HzmOFw8cyC+/69V+N5JI3Hc8Aocae3GM8t249oThmN3fQde/nIfRvYtwph+JViytQ4TBpRiwdi+eHvDIRwzzDvb9xe7GjBxQAmsFgGrENh8qBXDqwpxpKUb728+Apfbg0+21+PKWYPxnWdWYckv5uNPH2zHnJGV2H6kDX/6YDvuPGc8rpg1BA63BzaLQJ7diqc/q8Wg8nzMH1uN5k4nhADW7WvGgaZOvL72ICzCe7N9Qv9S9C/Lw6V/OKgvfqURd00iABBCnAngDwCsAP4upfyNEOIuACuklK8KIfIA/BPANAANAC6TUoY8A8dakygbxnR++4TheOzjnVh356k4+cGP0NDmwF3nT8Do6mJdR6f23rMAAENvWgQA+OTG+Zh732L19QXj+uJv3zgGrV1ONLQ74HR71Cr1gDcgseVwK8b2K8HHW4/gYHMXLj1mMJo7nIDwXphZLQLbj7TB6fagKNeGknw7Zt3zPrb++gw0tDvw+toDeHJpLX5+2hicNalGndL1sx1HMbZfsTqzgUKZnhIAnL4vvXGa1Ltf34i/fbILO+85Ezvr21BZmIvWLhdcHg+aOp2YPjgwC62pw4Ecm8W02nu3y206beXehg6s3tuECf1L8NjHO3H72eNhswos3X4UY/oVo6IwB11OtzoTwfubDmNIZYHuZ7h2XxMGlRegvDAHZzz0MTYdbMWu356Je97YhANNXaZF7F787mzsqGvDL15YixlDyrH7aLtudq9YxFPw2iK8FyrtDjeumTsMLrcHT322O6DYnFnhvu+cOAKDKvLxm0Wb0OFwo19JLp751iyc++dP4fLIgBTmif1L8NDl07DgwY/w5yumoX9ZPqYNKsMJ9y/GXs0MV6tvX4ipd72Lm84Yi3vf3Iw7zhkPKYG7Xt+Ib84Zhv5l3lmfnv18D1weifdvOBELHvwoth8A9ZgVt56CPr7pYFu7nNhR147zH/5ULUSvmDqoFP/59vGQEnhl9X50uzy4/ZUN6npKodUNvzoNE+54Wy0WWlWUi7q2bjx51TGQApg/pq+6zWU7j6JPUS7+uawWF0wbqM54obVkWx26nW4sGFetOy99uOUIJg4oVdsej+1HWuFwSYzvXxLwmnbK3WDcHqlO/RyOMjtIrK9Hw+HyQELqzrUHmztx3p8/DVrAlzJDsCDZjCHlWLm7URfkAbxBnAcvmYphfQrx1NJa3PHqBvW1a+YOw/++3I9FP5yHfqV52HKoFfsaO3DNUyt02x5eVYidde04Y2I/2CwCr609iI9+fhIONndh5pBy02m0lWshrd9eMAk3v7ROnQjj1+dPxGXHDMLIW94E4J144olvzMSWQ60oLbCjsjAHd7y6AccNr8SSbfU4c1I/3P7KBrzxw3kYV1OMTqcbFiHU6xjAP5W6cix5PFI9PpVj7OnPatG/NB+bDrXgnMn9saOuDWP6FWNgeYG6jVBTgzd3OlGab8fqvU2YPKAUGw+2YFxNiZp9LKVEt8uja5eR2fG+t6EDg6LM9OhwuNDW7cLh5m7sa+zAGZNq1O2/s/Ew3tt4GDeeMTbs+VLbnsMtXSgrsAdcq/13xV7k2a0YUJ4Pu8WCSQNL8fraA6gpzUNRrh2jq4sw7OY3sPGu0yAgsKu+HS+t2odbzx6v/sy+3NOIutZuFOTYMKSyQP28izcfwYDyfNSU5uH/3t2KX545Dm4p8fTS3aguyUW/0nzsbejA7JGV6HC4seNIG06d0C+qn1V9WzfKC3JgtQjd9+KeNzbh8Y93Ytdvz8SYW9/CcSMq8fQ3jzXdxpHWLu9sdC4PVu9twld9M8Kt3tuEn7/gLUxee+9ZWL+/GZ1ON460dOP7z64y3ZbZDb8Pf3YSTvvDx0GLqQe7vvzdRZNx4YyBeHJpLX712ka88v05pn9XFbuPtuPzXQ0YWJ6PMdXFQaeGb+pwoCjXpjseDjR14sVV+zBvVBUefGcL/nzFdNS1dmFwRSEOt3RhUEUBOhwu/OPTWlw5azBeWrUfZ0+uwbH3vI/Xrp+LSQNL8a/Pd2PzwVb8YMFItHW50Kc4F1Yh8Prag6gpzcMJo72zLL6z4RDG9y/BtsNtmD/Wew2x7XArao+249ihlYDwTmhhPJY6HW68tvYALp4xEFIC6/Y3Y8OBZlyhmfHTjPG4DPd3ubnTiWc/34PrThgeMPqgqcMBh8uDviWhZ7UKZ/fRdpz4wIfYeNdppv0qrVteXofLjhmMSQNLI57dK15r9zVh0oDSkD8nl9sDIUSPtCedCSFWSilnmr6Wrgk9A0ZNkPYL06dwdTKygrTOmlSDtzYcimgY1opbT0Ge3YqiXBsueewzfLGrAS9/bzamDS7Hox9ux/6mTiwcV40TfR2ga55cjvc3H8Gu356JbUfacLilC2P7lZhOb5gILV1OlOTZk7JtAHj6s1rc/soGNQiWKU77w8fYcqhVbfdjH+3Ab9/cDAAY3qcQO+vbceakfnjkyhnY39SJOfd+gK8fPwQ3nDoGU371TtiCzaFE8/3Nt1vR5XKrf/Rfu34uLv/rMnS73PjFaWNx3tT++PkLa7FidwPau/13vHKsFvUOhuKvX5+JWcMrMPnOdwAAfYpysOLWhZj6q3fQ1OnEI1dOhwDQ2OHAL19ej3Mm1+DBS6Zi9K1v4tObTsYA3/Sdc+/7APsaO1GYa0V7txu1956FT7bVY/KgUrR1udC3OBfvbz6Cb/9zJV787vGYMaQCADDqljfgdEts/fUZGH3rm2q7LjtmECYNLMUtL68H9ayB5fnIs1sDZhXJt1ux6e7TA9YfetMiTBtchpZOJyoKc3CouQtLbjw5YL1VexqRZ7PizD8uwbKbFyDHl83T4fBOq/zNfyzHN+cOwyur9+Oxr5n+PaQUuOKvy3R3G7OVcpc1EwULEp01qQZzRlairduFe97YrC7f9dszdQGTdzd5s1a+/c+VePqaYzFvVJVuO6v3NuH8hz/Vza46Z0Ql/nXtcQC8wca9DZ04dlhFyHY+scQ7y97sEX0gpcTMoRXweCRW7mnE+JoS7Kxrx9iaYnVIs5TSO9w7RCdCSokPNh/ByWP7JiygSuTxSHQ43SjKteFwSxdK8uzIzwke4AvmrfUHsWZfM248faxu+Yn3L4bD7cHYfsVYvKVOXW6cWa+iMAerbluI2fe+jwNN+lEJp03oh7d9WUILx1ej0+HGJ9vrUZxnw3PXHoeJA0oBAGv2NuGPH2zDE1+fmXbHyLbDrRjZtyjt2kXUU0IFiRIx3CxJ0uuATXYo7eErp2PiHW+jw+EKmQn189NG6+6+lOV7gzEDyr2d6e+eNDLgPX+76hh0u9wQQmB0dTFGVxcHrJNIyQwQAcDFMwZhfE3gXfZ0N6l/CbZopkj82vFDsHB8NU5+8CNMGVSGnfXtOGOi945bjS/KP7F/KUp9v+PiPLuaNhqtYF+pb58wHK+uOYCDmiGJp4yvxgebDqPD6ca2X5+BLpcHXU43cu0W9C3JRd+SPNx29jic8dASFORYcetZ4/HLl9fB4fbgoUun4kf/WY1+JXn48OcnqXctlWlCH/+69zx0+znjsWp3I8703WEEgDtf3YgLZwxEjs2i60QAwP9dOhWN7Q70L8tHXau3rXNH9QHg/74p34mhlYXq+5SgWo7Ngn9cdQyuftLbCZs9sg/OndKfQaIU+Ojn8+F0e/DamgPqXc4Lpg9AeUGO6fq3nDUWY/uVYN6oKrjcnqCp7UoG4Y57ztR16pS7XC98dzYA6L5zlHrfmjesVwaJ/vLVGfjOMyvDrqcMM5k/pq9uGuJ0FG1G6oQBJbhi1hCs2tNo2I7/+LRYBE7zZV/sCnLjZ2y/Ylx3wnAM61OIm19ah9eun6u7yVVTmo+a0vyw7fnWvOEByywWgWOGeoNLkwaWBrQzXPk9IQQWjKsOu2+iaFgsAkW53r9d1XFkfZw+sQanTwz8m/fRL+arj9u7XXC5JVbva8KwykKc8MBiPHvtLFzx189R6AtMDa0sxIGmLlw1eyjOmNgP+TlWTB5YhgsfXYqVuxtxxznj0b80H63dLvWaVTFlUBn+9o1jYv4MyTQqyf0hokyWxkGi6NWU5qmdXQFvx1Q7RKUgJ7BuTzpYfsspAKAOp/jzFdNw9uT++GDzYXzzyRWovfcsnP2nJVi/vwXfnz9K916lY9WnMHRWkNlwqkyVn2PFzKGh7ximo/sumoLbzpmgPi/IsWF4VRH+9o2ZmDKoDNfMHYZxvkCHxSLw/LePx2TNReuxwypMa/vEY+6oPgE1qcb2K8b7mw7DZhGwWS0oslpgEQIej7/AYGVhLpxuidJ8K66YNRjHDa+AEN7x2wvGV6Mwx6rrCLz30xPhdHtQ7AvoXDB9IC6YPlC3362/OUN9bLyrc4zu962/kFcMqijAznvO1A2z0WZfzR/bF987aQQe+XAHmjriG75H0Xvt+rlw+IZdWC1WXDRjIA61eC86i0MElq+dN0J9bLNaEO5Ulu2pw5nm5LHVao2I3uT0if0wfXAZVu1pCrrO/74/B1MGluLu8ycCCD/DVaoFCxApgVvt+fZX507A5ccOBuC/TinJs6Gi0DwYHEqe3YpfnjkOAHDRjIFqpg8Rxa/QF4w60TecSsl2n9DfWxsHAIZUFmDpjqO489wJuvf2K/UGsCoKc2CxiIAAERFlrl71l3bKwDL88fJp+PEpoyABTB5Ypr5261njYIkinfDV6+eEfD0nzouUX/lOtLt+e6Z6R2xopbcDrrTz5LHV2PCr0wAA//zmLPzfpVMCtjN9SBlGVhVFVH+CUssa5A/ognHV6FOUi4kDSnUd3GOHVaiZOEtvOhn/d8lU/HjBKJw3tX/I/UwNMua7wCRVuW9xnrr8+OGVAIBpg8vQ4XDrMtZKC+zodLrVLJ2yAu/nUC7Wh1cVYVgf72tFuYFjsfPs1pCBgEQxHgdfmTYAp03w3+W94dQxALwdDQC6u9HfPiHwLjMlxpJfzMekgaWYMcRfL0wIgR+cPKpHvheU3tLtJkasf01/d7H3b/S6O0/1bifMNUdFQQ6EEOoxkOnBD202z/TB5Wr9rOoS73n2n9fMwrs/PTGufWT6z4goU7z0vdl44CLvOU1ba1OrJM8bYApXl4aIMk9G/rW9ctZg5JoU78zPseLcKf3VjuzIvkV4/tvHA4AaDY/U5IFl+ONlU/HRz0/CJzfOxy1njsOL3z0et509HgDCdtTDGetrj/Yi8uKZgwBATb0G/BH+8sIcfGWaPvMCAC49ZjDeuyG+iy5Kf/3L8pGfY8WPF45W784GX9c8NXnVbQvVzs/QPt6AZHmhXe2gPHzldFx+7CDM9NXzKc7z/9Ev1nwPAf/3Nh0z87Tuv2iKrv6M1SJQe+9Z6gXNF79coL5mHLNP8Xngosl46NKpeOSK6VEXPqXsUpKfXh2MULEds2uP288ejz9dPg0XTBuAHfecqZ5T1+xtClj305tOxvXzvcPCB1fqj4t0zyQKp59mWMyQPv7PVpBjw5s/mofJA0sZ5CHKELk2q3rj8mvHDcGKW08JWOfksdW6456Ieo/0ujLTCHWpdNGMgXhZM9WhYmTfIgBQx/GWF9gx03fnOpoLk2vmDgMAnDt1gLrsWl+WwYwhFbj79Y0oiTClcuKAEvznuuMx4Y63dctnDa8MKLzcp8jbAedwCQol3HfZmJkxsqoI+TlW5NoskPAOCbhw2kA8+O5WVBTkqHeCKgpz8NsLJgMABpXn45zJ/kDohTMGYPkufV2J5799PMoLMjsLRAiBO88Zj8eX7GQ2XoIpQW+icM6fOgBr9jaHXxHJn0QiHJtFwDgXW47NgnOmBN44MqufNaAsHz87bQyumjM04LV0Lp4aST2iqYPLUFZgx8NXTg/4OzUuA+sIEpFXjs1iOhvdwvHVWDieNbmIeqO0DRKFihJVl+SZZjB0Ob3LKnzBlrIC7xjZJ74+M+Jx8K//YC4mmEw9rLXkF/NRVZyL284ebzqlquKnC0fj2nnDkZ9jxfpfnYaJvkDRez89wXT9S2YOwvnTBpi+RqQId7fZbqi0OXdUH904cqtFqAGRYFPqfvCzk9SpUAF4a2HN168TbiaZTHHVnGG4as4w9Xlxrg2tmunWiSi5rp4zDJ/tOBpQH81MqudjNQvk5JhkF4Vj1uGypHGSTSTBucEVBWrtICIiIspcaXtJEqobHOyCrK7Ve3+vynfx1ddXb+SU8dW+C5zwl5fja0rC3s0bVFGg1opRvP6DuQC8tY8UP1wwSp2yUtuvDza2VwiRdrUZKP2EC2Ia62VJw+1fqxC4/NjBePJq72wTufbA75zdasnazJqR1UWpbkLGu903LJcoUrFM75wKZtcRZvXeeptIspxiCZYRERFR+snIv+g5Nos6zOWpbx6Ln5/mLUbrcHsAeOu3APrOb6RZ3LF2jAf6pqA3Bo/U7aZxGjllFpvVgnE1wWtsGS/Upw0u1z13S4mKwhycNKYvAODmM8biocumJrydmeiLWxbgyauPTXUzMt4xGTj7IKVWfpC/nelKm7EZaZDo2nnDQr7udKU6Tyo44xWM8fld503QDVEmIiKizJWZQSKrRZ0l6sTRVfjqcUMAAN0ub5DIahFYfsspupl0IjHcNztTLMoKcvDctcfhjIneotPGbA8lSDS0kgVcKX6h6lZpM4l+tGCUbgjjBdMG4IRRVbr1+5fl47ypHOYIeGd7K823B9QLo8iVF9gxcQDrj1B0lEka0p4vjqPN+o102udw9eTuv2hyzM1KNrehvpLxvtfJY/tmTDYYERERhZYhV2V6OVYLXvzubLUukXKB5vJlEgH6qa29wmfy2KzxZfscP8I7hfiL350d0ElSOvX5nCaSEmD9/hbT5bNHVOoy6IyZbb+/dGoym0WEgeUFaV2Al9JTYRoFGELl87T7rjvy7Ba0+SpYlxdEVvOwpiw/5OtD+xTi3Cn98eqaAxFtrycpPxOlNpFFCHg0Q5k5axkREVHvkZF/1S0Wgcqi3IBplV3u+FK1h8WRSaQ1Y0h5QG0hJfFjCKeCpiQ5dmgFnr32uJiGQVCgf17DYWex4OyMFIu8dDpXRXApoQ3AF0WYBXVqBLMA/fHyaaguCSxqHUpPxmSVfRn3mcd6ikRERL1G2gaJYrkT7TSZbjYcpRM9sDwfD102Ler3A5ENIVM+zz0XTIppH0ThWH3BIe0dXab/xy5Y0Djc7HLZ7qrZQ1PdBMpA6RRkiORKQpv5VJwXfrjZiKpCVJfkRbT/aGsYhpuaPpGUayZjC3PtaXs5SURERFHKmLFPViHwl6/NCJjeW/GdE0fguOHBi6UGu+bqcLgxb1QffHPOsKBFpxPlv985HhWFkaWlE0VCOy2xMmW99ntcFmGtDAoUbPiE1SLgiiEgnQ1+coq+BhZRpDItyKAMHb/smEERBeN31LVHvO10nejiilmD8epqZSic96+P3SrgdEvkcmYzIiKiXiNjgkQWC7AwRKr2TWeMDb+RIP26O86ZgJF9kz/tNWf8oYTTRImUAGqJ5q52OYOSMUt20FihDfRlOgaIKFY5GVDTxiIAJT7cvywPq/cCt5w1LuH7SXWMKNg5ySoEXB5v7Ufl3wVjqzF9cBnrkBEREfUi6X9V5uOMs95QqMuXeO+A9ZYOHmUe7fdayXwpL/QHifqHKZRKweUFyWxIeF+oF/WtbBnQ0af0lAmFj7X1tgaU5WPTXadHNNQMAGpKIxtqBqQ+SBSMRfhrPyrBssmDSnHdiSNS2CoiIiJKtPS/KusBkdYJIEpnyhCFvsXe7/OKW0/BAAaJYhYssyHRndk07Q/GJNhwYKJwkl3wXBj+jYX22LdbLVHVfIumllmqh5sFu/GVl2OF2zDUtiTCIBkRERFljrQNEnkSXPNDCBH0wieHY+kpQ2m/00oG0aCKfBw7rAKlrEcUF7PhE8nouqWqvFHf4uhmUIqE3cJzKcUm6QFG3+YjOdyCtaTb5VEfRxssjibLzpKGoeMBZfk4d0r/gJ8fZ9AkIiLqfdL2ir7L5U74Njscid8m0LMzixABUKdIVr57F04fiJ8sHA0AyLVZ8fy3j8+I4RuUOsmYpY2BSYqVLckBxkT8ndZm0UQb1IomUyrZiUSxBOTG1hQj12QGOgaJiIiIep+07UUy8EIU3HPXHqd7ftzwCnWYGSVZLzk3WROcuXHxjIGwJHnIEPVetjQaqhhJkMYaZVDLGkXkJ9lBolg2n2O1mA7B7akC/0RERNRzsiZIlKxrLqtFoH8ZO+fUs4w1K5Jdz4P8ekmMCB5P+HWikeo6KpTZUp35GO3XN9psnJPGVkW8btLP5zEcq3l2i+nQ/BJmDxIREfU6tlQ3IDh9V+zksX2TspeqOOtyrLjlFNhZ04h6mPEan0Eiiha/M5ROkjH8MRraad+F5plFAIW5NrR2uWC3CnWm1WiOn9W3L0RZQU7E6yd76F0sP+k8uzUgSLToh3MxvqYkMY0iIiKitJG20Q1jMdd4rx+D3Ti7+YyxcW23vDAHRblpHGujXsmYtcEsDvrKtAFRrZ/oIJErVRW4qVeIprBzMght6ETzsKwgB9MGlQHQz3gYTVCrMMprhJ6a6S0aubbAIFF1SZ5pgX8iIiLKbGkbJAqUnAsR3k2nTMRMIjIaWlkY0XqTB5YCSHzdE8lCchSHpM9uFo5JjEjAe25VAljaIXHR1CSKfia09CtKlGe3INcQJOLMsERERL1T2qbA9CvNQ5fm+bA+BUnZDzvXlImYSZQiApBpWpUo0o6lMPybCNfPH4mvHz8kgVukbJPqv8XavWtPpxbhzxrSHmORZhLFkmlsViA6kbqc0Rcky7fb1GBXns2CLpcn6e0kIiKi1Ejbv/CFOfoLqxtPj29YmAjSJUp1HQSiWBhjQvwaZ57KwshrlCjy7IGn7BNHewviKpkYdqtAvxJvMf0hlcGD64ksFPyz08agbwkL+FPskl2HJxraIVRWIdQgvLaNycz2cafh0M1czblHqcOY6mLjRERElBzp+xfecP2VrHoF0U5jS5QOOLtZCiWg/5Zrs8RUNN+sIz2iqgiA/1xmtQicPbkGAHDJzEEB6ysd4Gimro63wD9ROMP6RDZcMlm0NbUcLn+mjcUi1KC89jybzBpK150wPGnbjpV2qFm+79zBvztERES9U9pGSBJ96RFsNA5vhFEmCsgk4sV6j9DOgBSvWLIYzeq2KNlFyva6nB6181bX2h2wvrIFY30RM319wSF+uyjZcmwWVJekVzBSCG9AXgmsaoMi9giP31hGAp86oV/0b4pCsW8IXDRBHiVr6OXvzca3TxyRlHYRERFRekjbmkQ9JdcW+d10onQRkEnEmkRJlcjgEHzbiuUuvNJRm9C/BBsOtADwZwRpN6dsu9vlDtyIb70+EWQHKd+zUDWv7jhnfNjtEEWivdvk+5pCQniziMwyiTI5MK+cy6wWEfHQNqVI9bTB5RjbrwQjqlKb+UVERETJk5V5NFN809kC0U9NS5QOONysZ3xww4kA9B1CZRIvbVLPVM05JSJSxlTTRAkI/XDBKHWZOsOQ5jthVkPF6CRfLSPFN0wKTysfO9So3CnRfnaiIHq6Fk+oI/CHJ4+EgPdYUr7+2ky+3nDGjSabUVukOj/HipPG9E1Gk4iIiCgNZGWQSABY8ov5AMwLwRKlO2PmEGc3S47SfDuAwMLgdqvQBWWiDdJJRFao1yKAy4/11xUqzPHVAjEU1gX0nVZlBja3ybT0yndl+5E2AMBJY7zBogKTgLkSHAv2/XrgoskYX1MS9nMQRUKafF+TKdR502a1wONrjxp01QRKRITn3HQ+M0fzZ4NFqomIiLJHRvzV/06Cx7//cMFItVPHYTqUiYThyE3mTDvZrMA3y6LxjntJnl33PNrziJSRBZY8Ehjfv9TfnlxfkEjz+w4VyOk2meq6y+kd0nPFrMEAgFnDKr3bNHm/sk2lg/jwFdMBAAPK8gEAF88cFFUBbKJQzIKaSRXiELRaBDwS2FXfrgaE9EM6k9y2JFKCcZYoQlhm9dCIiIiod0rryxylI3LTGWPj3pa2/3Py2Gr1OWNElImYSdQz1KLQhh6hMcATdSaR1A/fCEX7uy70Ba30mUTef7VfAaWvrcxypqV8lorCHAD+4WpmXyFlmVLk+qzJNai99yzMGVmJsnx74BuI4pBGMSLdMW12bEzQBG+TYc0dp2J4kmd8i6auEjOJiIiIskda/9V/8JIp6p3rRBO+y8NIU8aJ0okxKBTLTFkUnhACr3x/jm6ZhAz4+RtHjoX7bXggI+50ae/gF/sCM9rft9KZ1Q8385ozsk/A9sZWF3u3lWdH7b1nBXx3Jg7wDx9TXjNmC/32gsn4/JYFEbWfKFI9HCPSTXtvpD0ulEdKYPeaucNQXZKXzKahNN+etMCM8qmj+bORE8FsiERERNQ7pHXV5uOGVyZsW8ZgkJpJlLA9EPUcY1CChauTx2oRAb1XiwW6ZcafvxChsyKkjHyIoNI5mzKwFFVFub79Bw43M8skMvtaWMPsVxsAU4bbGWu3WS0CVguHmVFieRJQuDpRMxHqgkS+Y2Lm0ArcdMY4jKspjrw9cdyIsli8mYLuBEfP/OeHKApXM0hERESUNdI6SNQTmElEmYizm/UcYYwRSe/PX2qWxlLbzDiELZi61m4AQGmB3T80TPO6su+mDmfAe806gcbMIeMq2u+SksWkBIuIkqmnM4mMtMFdq+b4VI71m88Y26PXDFaLSMrPpMvlrUsWVZCIw82IiIiyRtb+1Vcujdi3pkxkDEpwuFnyGDtS0mSZNrASya/CIoBIb8xvPNiitiNXrR8UmElU39ataaPUvabftyFIZHhd+11q7/Z2Jj09XSyGqAcpX/n7LpisLtMeB8rXv6dvKiVrYg01kyiKK0AWqCciIsoeWXN7OOBSSx1uxs41ZZ5Q2R+UWGY/W6tFn/Xw3qYjutfDhVQ8ErBG2ENTOmcC5sVjlY5kri2yTlxJXujTvtWk3tH180fiunnDI9o+UUrFMN7MIgQ8UuqCqvrhZglqW5SsFmE6bDVRQ+qiySQqCnPeICIiot4jizOJAut4EGUK5Y72Axd573xz5pnk8ZYkkoZlgXWKFFIioh5cpFkC35wzFID3d67UMdK+VQnk6L4DJvsf2bcIAPD12UPx7LWzgrdL0zmuLMrB/RdNxrTB5ZhtUgSbKJFe/O5snDUpcEa+aMT0J933Jm08WFszLFWzRwbbb7Dl0U5TH+nnqizMQUVBTlTbJiIiosyVNbeGjNdCauFqBokog+X6skyqinNT3JLeyxgQUoabSXizDULNkBRKpNlfSiaRRfg7dfqZzLz7D3cuO3NSDTYdaEGfolz0KQr8vigZCyOqivDlnia89L3ZyLNZMTTJ03ATKWYMKce6fU1YtO5gj+7X4svN0WfR+YOuRbmpuVQy1iRSMohEglKJIk1AXXnbwvh3RkRERBkja4JEwbBwNWUyKSVq7z0r1c3o1ZSAEOAdJqYUrgbM+2nWCANHkdYD0QaGLCbBbSUr0iMljhtegWU7G0y389OFo02Xu31tdfuiRL88cxyunz8SfZM8xTeRGbM6WskwvqZErfflv2mkKdquacc1c4fhjIn9YtpPPJ9GCVpZhPfcoxbWDrJRS5TRI17/EBERkZmsGaNirD3EwtXUG7CecPJZLUINpHj5a5eYFQyPdAiHLUSU6A+XTkVfX3aYGiQSAm5P8O1JCZwwusrXwsgpHUXlu5RntzJARCnTE0O7pgwqw3dOGqHZp/df7RBQbbBqUEUBZg2vjG1ncXwcZQipUAPFStDIfKPR/uh4/UNERERmsjaTyHjRRZSJjLVyKPGE0M/uJQEopT/Mzh4WCwB3+O2Gm5HOoskiUJ5/seuo0ip1vWGa4WCnju+HrYdaw+9cwx+MiuptREkRb5Aoknd7h25q3uPbp7asV7JmFotGjtV/DnDDP8wsWMuivZ4Jl7Vltwrcetb4qLZJREREmS9rMomMlEujNLgOJIqZJ0RmCSWGd+YjwzIlk8ikYHhxnj2y7YbooAnhPzkrHVhdTSLNW6cMKgPgDV6N7FuEP1w2LWB7XztuSNB9nT6xH1bcegrPhZQW4g5WRvBFtgihCwKZDTezRlkEOmhz4nhvjm/GQmE47o3nAbNhqIloW5+iXHxj9tDoNkpEREQZL2uCRCxcTb0Rv7/Jpx1uVpxrg5T+LIMcm/4UWlOahwn9SyLabrhMIm1wyPuv0GRAen1r7jB1fanJdjJuuaIw+MxEQgj0KcplViWlhZ6oSWQR+oCQWUH4cMdnT8ix6c8BxllZreo5IrD9kQiVtXX5sYPwu4unRLlFIiIi6g2yJkhkpF5ssWNEGeqhy6ZiwbjqVDej19P1owzBZeOU06X59oCOV57d/DQbbnYzf3aAvyaR8S25mm1r61MZC9JG0uGtLOIU15R6PTPcTH8sCc3yRLUjEZRMIoshYGzMKFICa8bjviQvdEWBUIWrLz1mMOaM7BN1m4mIiCjzZU2QKNilUBrcLCSKyXlTB6A0P7KhTRQ7bWdRSsDl8ReuHt6nyGR9/XO71YLCHGvAeuGCRMZMotfWHFDfYyw2DejrUxXl6vdnNizO6LJjBmPxz04Kux5RMiXzb/LC8dW+fQjd8WcczmV8nCq5NqVwtW+BIaNIqX1veFllzHQ0CnVa4LURERFR9srawtX+jABeCRFRcNogUVu3S7esb0lu0PX7l+bhQHOXt4NncpoJlamgzRoKNSwmWNnyrx43BAPLCwAA/7jqGBwzrCLovhT5OVZdEWyiVAgXPI2HthahPmvIv9y/LPXXBkoGoP+4DxyCqv3XeJ4J9xlCZVKnw+cnIiKi1MiaTCKjINdUREQ6Zn1WYydNIeE/t1wzbzisFuGtJWRypgnXFzZmEkGzbeVfJZPo3Ck1+Mq0Aep6ZQU5ON/3fP7YvijKzd77AZRZknnjRjlerRahq31kDMJol6WSzWoIEgUJDlkM1zPhhpkplO1NGlAa9DUiIiLKPtkTJBLmT9PhQpCI0pdZp1Xb2dSSUqodTavwPzc7zYTqDGuTj7TnqGBZFn+8fDpG9i0O8SmIMkO8iUSh3u4frhk6+OpdN752+Lcd+wdyur1RYGNQ2theNaBsGI4aPpPI6+Yzxwa8xmsjIiKi7JU9QSKDwhzvnTZbgqa5JaLeyazTarWYd8I8UjPzkEVA+t5vdpYJ24EzyVayGjIetDOaEfUG1niDEyHe/tXjhgDw1STS7Mc/a1hgnaJU2lHXDkBTM8m33BgEMmZGJ2L2VgaJiIiIslfWBImMwz0sFoHae89CIYdhEFEIZp0lf5DI+7yPb2YwKaXu7r70BY2UTt3A8nzNdoPvM1gB3XE1JQAAu29q7A6HO6rPQpTu4g3OeILETa1CqMMuBYwBIajLFekQJAleuNpLOQ8ZC9qHypSeMaQ8YJnZcNhwRa+JiIio9+JVABFRCKGDRN5/n7z6WPU1f3FZ/7/KFu6/cHLI7WqZdfS+NW+Yd/9CYPLAUswZWRn5ByHKAPEON3MHiRJJSHU2MItFP7uZdhhaotqhiCfWpAaJfM+DZQ4ZC9qbzdamtifCfTNIRERElL2y5iogDW4KElEGMp47xlQXw+brbSqdTruvgIl2uJl2xiRlWa7dPzV9qHOSgFBnLjObqlsCePX6uTh9Yk3Un4concUzu9k1c4dFtG0LDDWJ1H/9C9Mjk8iqe26c8VCtQQRlOUyfBxViWJqdQ/GJiIiyVlxBIiFEhRDiXSHENt+/gXnM3vXeEkI0CSFej2d/REQ9zdhZFMIfHLKq2ULe597hZsZ6ISJk8etgzGY3I+rt4gnODNIM5zSSUnu86mc3MzvW7ImqXB0HpQnhZjPz/8gM5x6TvKEhlQXwr63UNgvcd57dGriQiIiIskK8V0E3AXhfSjkKwPu+52YeAPC1OPdFRNTjTAtXB5lNSCKw42YxWRZsu9CsZxw6osVaatRbKcfUfRdOiup9FYU56FOcG/R1Ce0wLKELRqnHouZQS4dJLYzD4IzBH+PsZsaC1cZzzLTBZcjPCQz+uDwe3fPae89CSZ493uYTERFRhoo3SHQegKd8j58CcL7ZSlLK9wG0xrmvuKT+co+IMpExs2HzoVZ/wVjTTCL9+7yZRCbbDZMi1O3ymC7feNdpGFAWPGOCKJP5s2Si/6sdLgtJW3BeO7uZGozR7DMnQZlEsXwOhVkWIwB4fKk/arBIXV//vtqjHbr3e6Rxm97tON3m5xoiIiLKTvFeBVVLKQ/6Hh8CUB3PxoQQ1wkhVgghVtTV1cXZNCKi+JkGeALu3HsfeKSmw6YMSbP4h5sJk20Es6ehw3R5QQ6ziKj3Uo4LRwyBi3BDM61BArfG4xnwZxKN980omArG+kxKO4+0dgMADrV0AfC3W/mRNXc6zTcopSFk5X2WDkPriIiIKH2EvTIQQrwnhFhv8t952vWklBJAkMlnIyOlfFxKOVNKObOqqiqeTQWId1pdIspOyrnjF6ePUZcFFJBVM4kCh4ZYLea5BKGCRDxbUbZSDgslEBLluyPatsWiP/6MBaABf+Dkz1dMi6EdkbYoNOM5whLkik1ZTxk21ul0m65nnPhNCOCjn5+EuSP7xNFKIiIi6m3C3pKWUp4S7DUhxGEhRI2U8qAQogbAkYS2jogoTWhnGjION1MLwEJi/f4W7zLfazaLCMg4AqIvSP2Pq4+Jqd1EmcRYnDlSUsrwmUTqcDOhC7ioyzUbKM331uQpyoszcy+OKNFAXyFu5fwSLLBsUlLJlIQMuGE2pLIw9gYSERFRrxRvjvGrAL7he/wNAK/Eub2k4Z15IkqUwOFm3n+l9A8TU/qbVosw7dwpi8b2KzbdR4mhc5qoGilE6SzUzFzhhMsYVoNB0NckMs4WBngziZ765rGoKgpeDDvZvjlnmO550CCRZhhdKFLqg29ms5oRERERxdvruBfAQiHENgCn+J5DCDFTCPGEspIQYgmA/wJYIITYJ4Q4Lc79EhH1KKnpURmnpDajvGa3Wkzv9Csdul+dOyHgvQeau/DAxVN0yyoKc2JoNVFmCTYzVzgygveox6EQuoCKcRYxxYmjq1I6VN1Y3D7SzxeM1SJ0NQGMH21IZUHEbSMiIqLeK648ainlUQALTJavAPAtzfN58eyHiCidaGdJAvSZRMZOrs0qTHtv2g5rwPYFcMKoKvzmKxMBAFt+fbpuuBtRb6XO0BVhlKhPUS7q27qBgJm7Aqk1xCxCF3Dxvy/xAaFEbjHY5wtWq8js/U9/ttv0tWU3L8BfPtqBJ5fWxtg6IiIi6i2yZvwC61YTUaKY1RhSWAxDP6xCBAxP065nxma1ID/HiitnDQEABogoawiTYyWUBy/xZtxJIGxERhvU1R5/1ij32dOkL/8nWJaVMjQvXPutFgG3pnq1dvV+pXnxNpOIiIh6iawJEnHsPRElSmBNIn/haqXjZQ2b1aD/12z7RNnGrCbRVbOHBqx3xazBuufewtWhjxvtMFHt9PLqsRhLg3tQsGGu/qdhajIFvE//XPJCiYiIiJBFQSIPL36IKMH8HVqTZZqF/sEsImA9MxI8X1F2UoebhYh3DKssxFBf/Rz9sRdu2/4gi+74TGJQNhFb9s+eGN8+jDO1Gd/Hsw4REREBWRQkcjNIREQJEizzQF+TyB8sMuuEhspe4OmKslUkReErinICZj+T8AdTvjJtAHJsgZc3wrdIGLavPFIOu/E1JbE03VwCokQu3xAxJdPH+KOJNMj1+0v0xfCNb+PNNCIiIgKyKEjEax8iSpTA4Wb+14w1VYQma6GnsheIMl2o+l0CgQEO7fTukweW4rp5wwO2qWynKM+mG26mPFaCMIMr0muWr06HC0Dwc0akZ5KyAv0MiYHDzaJuGhEREfVCWRMk0hZrJCKKh3FmMv0wMv1r2vXNtxH4Gs9WlK3MjodQ8VTTAC3Mjznl2CwrsBve5/1XCZK4Eni9YMx4ikWn0w1Ak0lk3GaQ+mYLx1dHtR9eJhERERGQRUGighzODkREsasqzlUfBys6LaGZZlsznMxs6ExjhyP4znhLn0gVSZjFe+yFfpNyHObZrOrj5799fEDNH7fHE3NbjRKRMBgQvAmyTeNp46QxVSG3GzDcjFEiIiIiQhYFiYxp1kREkVp756k4bnil+tyYQWRWpFpX88SkU+dwKR1R74sjq4rwf5dqpvMmIgBmNXhMhl4ZZjcLVQcsx2ZRZ/rqW5yrLleCJA53AoNECdtS4GcKrGumP3OEnWHR8Jw1iYiIiAjIoiAREVGsSvLsMEtSsBg7aTIwy0jboQ1Vk8it6eSyr0bZymx4lnJcvPS92Zr19OtrM4mEMB/kpSzNsVkMheWhbgMAupyJzCRKfO0xZYtW9TOYnzeUzzhvVB9MHlgKAPjtBZMCXldwgg8iIiICAFv4VYiICCYBHvP6KcY6ReYdVoshmCSl1HT22Fmj7GQ2K5lac0e7KEThau3rc0f2wSfb6wH4X8+1WWBRZzoT/kCTBJ679jgMqsiP81P0DG+QRwbNVlJ+Br+7eAqqS/IAAMcOqwh4XcHhZkRERAQwk4iIKCLaUE9xnk2/zB8PMs0y8g8LCV7M2iP9mQHsqlG2yvUFibRxUrMwa6h5vrTBjxtOHa0ei0rmjN1qMR0OKqXE8SMqMbA8cbObJTKRqNvl1m1TCXQphbaN5w01W0qzzG4JftnHGBEREREBDBIREUVE29nLs1t1y/Szm/kKV2uiRKadXEMHTkqpy4QgykblhYH1A0Nm7KlDxaShNph/KJZxXZtF6Iab2a0W3TYTyaxofbS+d9IIAECuzXfeUT6b799d9e0AAjMQ1XiQpgmDKvLx7LWzAABWwwnn56eNwUOXTY27vURERJTZGCQiIoqA0p2qKc3TTF9vVmtIv74uk0iznjEg5JZS7bRxtBllq6JcX5aeSTF47WEREHuR+syZwKLO/uPV7ZHQJtTk2b1PZmmGYiVKIuJOM4eW44tbFuCsSTW6bRqDPIGToBmHvnp/BrNH9AHgneVNa1BFAc6bOiD+BhMREVFGY00iIqIIiDAdUIXFNHBkmgqhe+1AUxfmj+0LgMPNiMIFSk1iRKbF5c20drt0x+mZk2pwoKnLn/2XQInYYnGeHX2L8wJneTOsZ6wpZBac1qopy0tA64iIiKi3yaog0XPXHpfQ+gBElD2M2UNAuNnNNLMnqe9FwHu1lGEvNo47I1IF/t0W/iCrb4k0Xc98WafDrdb/yrNbcfbk/jh7cv9ENdew//iO5WeumYUZg8sB+ANnyr/hNm1Wk0ix5vZTkZfDZHIiIiIKlFVBouNHVKa6CUSU4bQdM5tJLRO1JpG6TJh3XhG8A5eMjAaiTBVY08tkRi/NcDMIocn206+ZZ7dgbL9i9XXT2dQSKN4bU3NH9QlYJn25hsp5x24VcLpl8MLVJo0oLbDH1zAiIiLqtbIqSEREFCt1RiHh73bm260B6xmzi/TD0wJnVDJjZcojUQDdjGeGQ8QYIgmWwbP57jN0z3OsSQ4SJXBbyic0DsXzBoMCx+cFZDoSERERRYC5xkREEfDPluRfps5y5l9JzQJS7uJ3u9yms5upbzF5Kcn9VqKMEhAQkpqAa4ii8cqyYEffJzfOV4/hjOCLDikFq8PVHDIrrE9EREQUDrsiRESR0HRAlc6XMlRF7YRJGVC4enlto/+OfpiaRP7X2KsjCkYI88BHsOMm2OE0sLwgga0yl8hjWckVUoNEvufBgtD+8w7PJ0RERBQ5BomIiCKgLUitPLZZ9Z2vujaHaUDIrJdqNj21wji1NVE2MwY5ltc2BlYpkvrMGt3jFA64SmR8RhlmphS4DxhgZjoMjZlEREREFB3WJCIiioB2hjLlsd3iyyTSdEL9MwqJwPdGsJ+/fWMm5owMLFZLlK38s/35oyAdDjcA43Fm/thiAeBOahODSmSASqm7FGkQ2Xd6Yk0iIiIiigoziYiIIqBkM2iHj6iZRMJkPYt2mdkG/a8NrvAPe1kwrjqz6qQQJZndpEiX26NPm5HQD+HUFotPZSH4ZGQSlebbdc/V1wP2HXx2MyIiIqJgGCQiIoqANhuoojAXgHfqacC81pA2mKTNQvKv539SlMukTqJgzGIcHkOEREoZdBZBSy8ZvqlkVF1+7GDT16XhZ+LPaiQiIiKKHINEREQR0NY4OXNSP3xxywLYLIGnULOOmdmdfHbciCJjFuNx+wIi+kMrMDALpLbGVyKzeHJ9GYa2CD+PWXCaiIiIKBwGiYiIoiAgIIRA3+I804CQ2YxCpo9MhsYQUaCvHz/U98h/oJgNtdIWjdcGdSMNqiRDInc9bVCZ6XKlVpFxuJlZfTQiIiKicBgkIiKKgDobmVndE21ASK1d5F9PO7RsbL9i/XaDTOdNlO3mj6kCALVGl/aY8ngCo0T6wKw/QJKqTKLiXBvG1ZQkbHuzR/ZB7b1nqc+Nw8uMQ/DKC+2oLMxRh8USERERRYKFMIiIIqD0Py1hIjpmmUTaItXFebaA7fBOP1Gg4jy77rn2mFGHm/meS81jAX0m0eGW7qS2M5gVt53So0WzjdlVFiGw8raFPbZ/IiIi6h0YJCIiioJZn08/3CzEEDT4O3JmRXaJKDjtsWdMJAL0QaRwwdyekGtLziyFSgZRwJA7w/M0+BEQERFRBuJwMyKiCGgzE6Jepg5VM++1sTNHpCcDKuwYAqrGiAjMZxnsjYeWch65eOYgAP4fhZJdNbA8PyXtIiIiot6BQSIioghoa5wYl4VbT5kETSCwuKyynIj8zGYO1AVTzWYM1BWuDqwh1lv0KcoFAEwZVKpb7valV31//kgAzFIkIiKi2DBIREQUAbUmkaYIrtmQsdCZRGE2TkQAgFx74OWJvo4XAh4L3XCzJDUsDZwyvi9e/O7xQYfU9WQdJCIiIup9GCQiIoqA0u0ymyhI6ZPNG9XHdCYlbTDJOCMREQXKsYbOJNI+Vo4oi+Y48weMel/AJNdmxYwhFSGCzj3aHCIiIuplGCQiIoqA0um0mmQSadexmAxzMRv6IoJkRRBlO4sAJg4oNVkeeKRoQ67BMvrOmlST6CamBeXzBvxcDMXxiYiIiKLBIBERURTCTV2vDEcLFgQyrUnEzhyRaudvz8K4mhI43R7dcm2S3jeOHxrwPuX1j7fVmc4y2NuoQ2B784ckIiKiHscgERFRBJR+mC5IZFJ/SBmOZlZjVwjTSZl6dUeWKFbGIJH2OCsvzAl8g+/1vQ0dWRE4MTsnEREREcWLQSIioggo/TDdcDP1X/8yq5pJ5H+vfwgaO3NEkep26YNEpfk5GFJRoFsmJXDy2L4A9MeZv1i8gDTN38t8Qcsu8TRDREREcbClugFERJlACfBYwqQo+Ie5+NezKYEj+Ieb+WdkAu67cDL2NHQksrlEGW/64HJsPdwKAKi99ywAgUMzJSQKc72XMv7MGm2x+N5MP6TOahFwe6R6kvGwSD4RERHFgEEiIqIoaGNEZjVBzDKJ7DZLwDKtUdXFGFVdnMhmEmW8nywcjZ8sHB12PeOwK6tFZMUQLGWmRI8vFlSSZ0NjhxMAMHtEJfqV5KWqaURERJTBONyMiCgKVl3nUz+MTACmBXPtFk12ka9j5w8w9f7OLFGieEIkx2iPKYtFv6w3mje6CoA/Y+ibc4aprz177XEoKzCp20REREQUBoNERERR0NUk0gxp+fX5E/HThaP9w9G0mURWfyaRsY/bmzuxRInW7XLrF2gOKHVIqLYmUS8ecFbkG2bn9kXOlGF3VcW5KWsTERERZT4ONyMiipMQwFePGwJAO7uZv3NanGf3LQPG15RgZ127phNLRJFyGIpZA4GzDFos5jMP9lZKkGj2yEqMqCrESWOqUtwiIiIiymTMJCIiipN21jKLSU2iG0711VURwG++MgmrbluoeW+PNJGoVzh3Sn+cPbnG9DWLJpPoyz1N6vLvnjgSt5w5riealxIDy/MBAGP7leD9G07iLIpEREQUF2YSEREl0JCKQgD6DCFlGAjgHa5mtQiUF9h9S9ihI4rUr86bqHsuoZkpUPlXCN3MXpMGlmLSwNIeaV9PW3nrKcjPsWJXfXuqm0JERES9BDOJiIhiZDbD9PfnjwCAsHfzZ4/s41sv4c0iykrq7GZCGzBKXXt6QmVRLgpybJjQv3cGwYiIiKjnMUhERBShKYPKcMq46pDrWC3Baw2ZFdHt5X1Yoh6jBITsVguHXBERERHFiMPNiIgi9Mr35xiWBKYSKZ3TSPuo7MwSxU7qZjfz/mu3WTTLeHwRERERRYOZREREKWRhH5YoIZRMvRyrJkiUqsYQERERZSgGiYiIYmRWkyhaZkPQiChyxuw9m0Woj5lIRERERBQdBomIiIgoI0nNkE+7JoPIwugQERERUUwYJCIiSgKzDCFpWsOoJ1pDlJ2YqUdEREQUHQaJiIhilIDRZgwSEcVBymAzCfr+5fFFREREFBUGiYiIYpSQmkTsxRIlnFqTKLXNICIiIso4cQWJhBAVQoh3hRDbfP+Wm6wzVQjxmRBigxBirRDi0nj2SUTUW/x04WhUF+emuhlEvYoEUJhr8z5hlIiIiIgoKvFmEt0E4H0p5SgA7/ueG3UA+LqUcgKA0wH8QQhRFud+iYhSzqzGUCjG+ig/XDAKNisTOoliJQHTQNAVxw6G9yVGiYiIiIiiEW/v5DwAT/kePwXgfOMKUsqtUsptvscHABwBUBXnfomI0prNqu+cXjpzEMoK7ClqDVH2kBJq8JWjOYmIiIiiY4vz/dVSyoO+x4cAVIdaWQhxLIAcADvi3C8RUcoFq0m06a7TkZ9j1S2776LJPdAiItJm+DFGRERERBSdsEEiIcR7APqZvHSL9omUUgohgo69EELUAPgngG9IKT1B1rkOwHUAMHjw4HBNIyJKS8YAERElh5TSdEiZf3YzhomIiIiIohE2SCSlPCXYa0KIw0KIGinlQV8Q6EiQ9UoALAJwi5RyWYh9PQ7gcQCYOXNmImaXJiJKmkTMbkZEsQt2CHJ2MyIiIqLYxFuT6FUA3/A9/gaAV4wrCCFyALwM4Gkp5Qtx7o+IKG2U5Mc7YpeIkkHJLmIiEREREVF04g0S3QtgoRBiG4BTfM8hhJgphHjCt84lAE4AcJUQYrXvv6lx7peIKOUGlhdgy69PT3UziEhLk17E2c2IiIiIohPXbXAp5VEAC0yWrwDwLd/jZwA8E89+iIjSVa6N9YeIUkVKaZ4tJAz/EhEREVFE4s0kIiIiIkqJ1i5XwDIJTU0iBomIiIiIosIgEREREWWcv181E6dNMJt8lYlERERERLFi1VUiIiLKOCePrQZgHggSQuj+JSIiIqLIMJOIiIiIMpY0PpfGJUREREQUKQaJiIiIKGN5TIJCHG5GREREFBsGiYiIiChjeTz6IBELVxMRERHFjkEiIqIkYieVKLnchkSisnw7hC+HSDCXiIiIiCgqLFxNRJRE7KISJZd2uNknN85Hn6JcKIsYpCUiIiKKDoNERERElLG0w80GlhcAALqc7lQ1h4iIiCijcbgZEVEScQpuouQyK1yt4OFHREREFB0GiYiIiChjeUxiRGrhag74JCIiIooKg0RERESUsYyzmwH+4BAziYiIiIiiw5pERERJxD4qUXJdedxg9C/LN32Nxx8RERFRdBgkIiIioox18thqnDy2WrdMHW7GVCIiIiKiqHC4GRFRErGPStTzhOFfIiIiIooMg0RERETUqygZRAzSEhEREUWHQSIioiTi7EpEqcPhZkRERETRYZCIiCiZ2Ecl6nEWAZTksewiERERUbQYJCIiIqJeRQiBtXeelupmEBEREWUcBomIiIiIiIiIiAjMxSYiSpKzJtegMMea6mYQERERERFFhEEiIqIkefiK6aluAhERERERUcQ43IyIiIiIiIiIiBgkIiIiIiIiIiIiBomIiIiIiIiIiAgMEhERERERERERERgkIiIiIiIiIiIiMEhERERERERERERgkIiIiIiIiIiIiMAgERERERERERERgUEiIiIiIiIiIiICg0RERERERERERAQGiYiIiIiIiIiICAwSERERERERERERGCQiIiIiIiIiIiIAQkqZ6jaYEkK0AtiS6nZQzPoAqE91Iyhm/P1lLv7uMht/f5mNv7/Mxd9dZuPvL3Pxd5fZ+PvLXEOklFVmL9h6uiVR2CKlnJnqRlBshBAr+PvLXPz9ZS7+7jIbf3+Zjb+/zMXfXWbj7y9z8XeX2fj765043IyIiIiIiIiIiBgkIiIiIiIiIiKi9A4SPZ7qBlBc+PvLbPz9ZS7+7jIbf3+Zjb+/zMXfXWbj7y9z8XeX2fj764XStnA1ERERERERERH1nHTOJCIiIiIiIiIioh6SlkEiIcTpQogtQojtQoibUt0eipwQ4u9CiCNCiPWpbgtFRwgxSAixWAixUQixQQjxo1S3iSInhMgTQnwhhFjj+/39KtVtougIIaxCiC+FEK+nui0UHSFErRBinRBitRBiRarbQ9ERQpQJIV4QQmwWQmwSQhyf6jZReEKIMb5jTvmvRQjx41S3iyInhPiJ75plvRDiOSFEXqrbRJERQvzI93vbwOOu90m74WZCCCuArQAWAtgHYDmAy6WUG1PaMIqIEOIEAG0AnpZSTkx1eyhyQogaADVSylVCiGIAKwGcz2MvMwghBIBCKWWbEMIO4BMAP5JSLktx0yhCQoifApgJoERKeXaq20ORE0LUApgppaxPdVsoekKIpwAskVI+IYTIAVAgpWxKcbMoCr7+w34As6SUu1PdHgpPCDEA3muV8VLKTiHE8wDekFI+mdqWUThCiIkA/g3gWAAOAG8B+I6UcntKG0YJk46ZRMcC2C6l3CmldMD7BTwvxW2iCEkpPwbQkOp2UPSklAellKt8j1sBbAIwILWtokhJrzbfU7vvv/S6C0BBCSEGAjgLwBOpbgtRNhFClAI4AcDfAEBK6WCAKCMtALCDAaKMYwOQL4SwASgAcCDF7aHIjAPwuZSyQ0rpAvARgAtS3CZKoHQMEg0AsFfzfB/YUSXqUUKIoQCmAfg8xU2hKPiGK60GcATAu1JK/v4yxx8A/AKAJ8XtoNhIAO8IIVYKIa5LdWMoKsMA1AH4h2+45xNCiMJUN4qidhmA51LdCIqclHI/gN8B2APgIIBmKeU7qW0VRWg9gHlCiEohRAGAMwEMSnGbKIHSMUhERCkkhCgC8CKAH0spW1LdHoqclNItpZwKYCCAY33pwJTmhBBnAzgipVyZ6rZQzOZKKacDOAPA931Drykz2ABMB/ColHIagHYArIeZQXxDBM8F8N9Ut4UiJ4Qoh3e0yDAA/QEUCiG+mtpWUSSklJsA3AfgHXiHmq0G4E5lmyix0jFItB/6SORA3zIiSjJfLZsXAfxLSvlSqttDsfENlVgM4PQUN4UiMwfAub66Nv8GcLIQ4pnUNomi4bsjDinlEQAvwzt0njLDPgD7NJmXL8AbNKLMcQaAVVLKw6luCEXlFAC7pJR1UkongJcAzE5xmyhCUsq/SSlnSClPANAIb01h6iXSMUi0HMAoIcQw352BywC8muI2EfV6vsLHfwOwSUr5+1S3h6IjhKgSQpT5HufDW/x/c0obRRGRUt4spRwopRwK79+8D6SUvJuaIYQQhb5i//ANUzoV3lR8ygBSykMA9gohxvgWLQDACRsyy+XgULNMtAfAcUKIAt816AJ462FSBhBC9PX9OxjeekTPprZFlEi2VDfASErpEkJcD+BtAFYAf5dSbkhxsyhCQojnAJwEoI8QYh+AO6SUf0ttqyhCcwB8DcA6X10bAPillPKN1DWJolAD4CnfDC8WAM9LKTmVOlHyVQN42dvHgQ3As1LKt1LbJIrSDwD8y3dzcieAq1PcHoqQLzC7EMC3U90Wio6U8nMhxAsAVgFwAfgSwOOpbRVF4UUhRCUAJ4Dvs+B/7yKk5OQ3RERERERERETZLh2HmxERERERERERUQ9jkIiIiIiIiIiIiBgkIiIiIiIiIiIiBomIiIiIiIiIiAgMEhERERERERERERgkIiIiIgoghKgUQqz2/XdICLHf97hNCPFIqttHRERElAxCSpnqNhARERGlLSHEnQDapJS/S3VbiIiIiJKJmUREREREERJCnCSEeN33+E4hxFNCiCVCiN1CiAuEEPcLIdYJId4SQth9680QQnwkhFgphHhbCFGT2k9BREREZI5BIiIiIqLYjQBwMoBzATwDYLGUchKATgBn+QJFfwJwkZRyBoC/A/hNqhpLREREFIot1Q0gIiIiymBvSimdQoh1AKwA3vItXwdgKIAxACYCeFcIAd86B1PQTiIiIqKwGCQiIiIiil03AEgpPUIIp/QXe/TAe50lAGyQUh6fqgYSERERRYrDzYiIiIiSZwuAKiHE8QAghLALISakuE1EREREphgkIiIiIkoSKaUDwEUA7hNCrAGwGsDslDaKiIiIKAjhz4omIiIiIiIiIqJsxUwiIiIiIiIiIiJikIiIiIiIiIiIiBgkIiIiIiIiIiIiMEhERERERERERERgkIiIiIiIiIiIiMAgERERERERERERgUEiIiIiIiIiIiICg0RERERERERERATg/wG48kO9EjKK8wAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "streaming_iterator = VADiteratorAdaptive()\n", - "stream = audio.open(format=FORMAT,\n", - " channels=CHANNELS,\n", - " rate=SAMPLE_RATE,\n", - " input=True,\n", - " frames_per_buffer=CHUNK)\n", - "data = []\n", - "voiced_confidences = []\n", - "\n", - "for i in range(0, 20):\n", - " frame_duration_ms = 250\n", - " audio_chunk = stream.read(int(SAMPLE_RATE * frame_duration_ms / 1000.0))\n", - " \n", - " data.append(audio_chunk)\n", - " \n", - " audio_int16 = np.frombuffer(audio_chunk, np.int16);\n", - "\n", - " audio_float32 = int2float(audio_int16)\n", - " batch = streaming_iterator.prepare_batch(torch.from_numpy(audio_float32))\n", - " \n", - " # get the confidences and add them to the list to plot them later\n", - " vad_outs = validate(model, batch)\n", - " for item in vad_outs[:,1]:\n", - " voiced_confidences.append(item)\n", - "\n", - "# Please note the different x axes scales of the plots\n", - "# plot the confidences for the speech\n", - "plt.figure(figsize=(20,6))\n", - "plt.plot(voiced_confidences)\n", - "\n", - "# plot the waveplot of the recorded audio\n", - "data = b''.join(data)\n", - "mocked_file = io.BytesIO(data)\n", - "audio_segment = AudioSegment.from_raw(file=mocked_file, channels=1, frame_rate=8000, sample_width=2)\n", - "audio_segment.export(\"test.wav\", format=\"wav\")\n", - "plotAudioFile(\"test.wav\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "145558f8", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.6" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/pyaudio-streaming/pyaudio-streaming-examples.ipynb b/examples/pyaudio-streaming/pyaudio-streaming-examples.ipynb new file mode 100644 index 0000000..0ee4471 --- /dev/null +++ b/examples/pyaudio-streaming/pyaudio-streaming-examples.ipynb @@ -0,0 +1,211 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "62a0cccb", + "metadata": {}, + "source": [ + "# Pyaudio Microphone Streaming Examples\n", + "\n", + "A simple notebook that uses pyaudio to get the microphone audio and feeds this audio then to Silero VAD.\n", + "\n", + "I created it as an example on how binary data from a stream could be feed into Silero VAD." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "5a647d8d", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import torch\n", + "torch.set_num_threads(1)\n", + "import torchaudio\n", + "import matplotlib\n", + "import matplotlib.pylab as plt\n", + "from collections import deque\n", + "torchaudio.set_audio_backend(\"soundfile\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "725d7066", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Downloading: \"https://github.com/snakers4/silero-vad/archive/master.zip\" to /home/kaik/.cache/torch/hub/master.zip\n" + ] + } + ], + "source": [ + "model, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad',\n", + " model='silero_vad',\n", + " force_reload=True)" + ] + }, + { + "cell_type": "markdown", + "id": "f9112603", + "metadata": {}, + "source": [ + "### Helper Methods" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5abc6330", + "metadata": {}, + "outputs": [], + "source": [ + "# Taken from utils_vad.py\n", + "def validate(model,\n", + " inputs: torch.Tensor):\n", + " with torch.no_grad():\n", + " outs = model(inputs)\n", + " return outs\n", + "\n", + "# Provided by Alexander Veysov\n", + "def int2float(sound):\n", + " _sound = np.copy(sound) # may be not necessary\n", + " abs_max = np.abs(_sound).max()\n", + " _sound = _sound.astype('float32')\n", + " if abs_max > 0:\n", + " _sound *= 1/abs_max\n", + " _sound = _sound.squeeze() # depends on the use case\n", + " return _sound" + ] + }, + { + "cell_type": "markdown", + "id": "5124095e", + "metadata": {}, + "source": [ + "## Pyaudio" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a845356e", + "metadata": {}, + "outputs": [], + "source": [ + "import pyaudio\n", + "import io\n", + "\n", + "FORMAT = pyaudio.paInt16\n", + "CHANNELS = 1\n", + "SAMPLE_RATE = 16000\n", + "CHUNK = int(SAMPLE_RATE / 10)\n", + "\n", + "audio = pyaudio.PyAudio()" + ] + }, + { + "cell_type": "markdown", + "id": "0b910c99", + "metadata": {}, + "source": [ + "## Simple Example" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "9d3d2c10", + "metadata": {}, + "outputs": [], + "source": [ + "# Configure how long you want to record the audio\n", + "frames_to_record = 20 # frames_to_record * frame_duration_ms = recording duration\n", + "frame_duration_ms = 250" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3cb44a4a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "stream = audio.open(format=FORMAT,\n", + " channels=CHANNELS,\n", + " rate=SAMPLE_RATE,\n", + " input=True,\n", + " frames_per_buffer=CHUNK)\n", + "data = []\n", + "voiced_confidences = []\n", + "\n", + "\n", + "for i in range(0, frames_to_record):\n", + " \n", + " audio_chunk = stream.read(int(SAMPLE_RATE * frame_duration_ms / 1000.0))\n", + " \n", + " data.append(audio_chunk)\n", + " \n", + " audio_int16 = np.frombuffer(audio_chunk, np.int16);\n", + "\n", + " audio_float32 = int2float(audio_int16)\n", + " \n", + " # get the confidences and add them to the list to plot them later\n", + " vad_outs = validate(model, torch.from_numpy(audio_float32))\n", + " voiced_confidences.append(vad_outs[:,1])\n", + "\n", + "# Please note the different x axes scales of the plots\n", + "# plot the confidences for the speech\n", + "plt.figure(figsize=(20,6))\n", + "plt.plot(voiced_confidences)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56b225f5", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}