diff --git "a/RNN_Architecture.ipynb" "b/RNN_Architecture.ipynb"
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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Notebook for RNN architectures\n",
+ "\n",
+ "A.A. 2022-2023 - HUMAN DATA ANALYTICS\n",
+ "\n",
+ "Authors:\n",
+ "* Mattia Brocco\n",
+ "* Brenda Eloisa Tellez Juarez"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "JbVTCBy-fTYF",
+ "outputId": "851b9d06-3f1b-4b25-883a-de38c5b659a6"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Mounted at /content/drive\n",
+ "/content/drive/MyDrive/Environmental-sounds-UNIPD-2022\n"
+ ]
+ }
+ ],
+ "source": [
+ "from google.colab import drive\n",
+ "drive.mount(\"/content/drive\")\n",
+ "\n",
+ "#%cd /content/drive/MyDrive/Environmental-sounds-UNIPD-2022"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "id": "J-XNutXWfYJH"
+ },
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "import sys\n",
+ "import torch\n",
+ "import librosa\n",
+ "import matplotlib\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import seaborn as sns\n",
+ "import tensorflow as tf\n",
+ "from librosa import display\n",
+ "from scipy.io import wavfile\n",
+ "from tensorflow import keras\n",
+ "import IPython.display as ipd\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "from sklearn.metrics import confusion_matrix\n",
+ "from sklearn.metrics import classification_report\n",
+ "from sklearn.model_selection import train_test_split\n",
+ "\n",
+ "import evaluation\n",
+ "import CNN_support as cnns\n",
+ "from gng import GrowingNeuralGas\n",
+ "\n",
+ "%load_ext autoreload\n",
+ "%autoreload 2"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 206
+ },
+ "id": "nBxm8nabfZFH",
+ "outputId": "13a2f486-9984-44a2-dc2e-5be27a792a7f"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "
\n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " filename | \n",
+ " fold | \n",
+ " target | \n",
+ " category | \n",
+ " esc10 | \n",
+ " src_file | \n",
+ " take | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 0 | \n",
+ " 1-100032-A-0.wav | \n",
+ " 1 | \n",
+ " 0 | \n",
+ " dog | \n",
+ " True | \n",
+ " 100032 | \n",
+ " A | \n",
+ "
\n",
+ " \n",
+ " 1 | \n",
+ " 1-100038-A-14.wav | \n",
+ " 1 | \n",
+ " 14 | \n",
+ " chirping_birds | \n",
+ " False | \n",
+ " 100038 | \n",
+ " A | \n",
+ "
\n",
+ " \n",
+ " 2 | \n",
+ " 1-100210-A-36.wav | \n",
+ " 1 | \n",
+ " 36 | \n",
+ " vacuum_cleaner | \n",
+ " False | \n",
+ " 100210 | \n",
+ " A | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " 1-100210-B-36.wav | \n",
+ " 1 | \n",
+ " 36 | \n",
+ " vacuum_cleaner | \n",
+ " False | \n",
+ " 100210 | \n",
+ " B | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " 1-101296-A-19.wav | \n",
+ " 1 | \n",
+ " 19 | \n",
+ " thunderstorm | \n",
+ " False | \n",
+ " 101296 | \n",
+ " A | \n",
+ "
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+ " \n",
+ "
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+ "
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+ "
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+ " \n",
+ " \n",
+ "\n",
+ " \n",
+ "
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+ "
\n",
+ " "
+ ],
+ "text/plain": [
+ " filename fold target category esc10 src_file take\n",
+ "0 1-100032-A-0.wav 1 0 dog True 100032 A\n",
+ "1 1-100038-A-14.wav 1 14 chirping_birds False 100038 A\n",
+ "2 1-100210-A-36.wav 1 36 vacuum_cleaner False 100210 A\n",
+ "3 1-100210-B-36.wav 1 36 vacuum_cleaner False 100210 B\n",
+ "4 1-101296-A-19.wav 1 19 thunderstorm False 101296 A"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "#reading the csv file\n",
+ "data = pd.read_csv('./data/meta/esc50.csv')\n",
+ "data.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "7r3nVCBZvg4W"
+ },
+ "outputs": [],
+ "source": [
+ "# Identify and select the TPU\n",
+ "try:\n",
+ " tpu = tf.distribute.cluster_resolver.TPUClusterResolver() # TPU detection\n",
+ " tf.config.experimental_connect_to_cluster(tpu)\n",
+ " tf.tpu.experimental.initialize_tpu_system(tpu)\n",
+ " tpu_strategy = tf.distribute.TPUStrategy(tpu)\n",
+ "except:\n",
+ " print(\"TPU not found\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 441
+ },
+ "id": "ZeXO4FT1kKq1",
+ "outputId": "0e34e7e1-925d-4335-fb77-dc8eb563ec6c"
+ },
+ "outputs": [
+ {
+ "data": {
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48cspWdLd6oYajSYasRnw+PgE7r//XbJnz2o/9t57SyIllibCaAOewRg5UmeF1WiinTNnLlOsWEpSlps3jWW/5837M1VZW4CbJvOhXehRSPfuU/j5Z736pEaTUUhMTOLy5XgAfv75H2rXfovVq3fbj58/fy1SomnSMdqARwGJiUl8/vkqeyt86dJ/6NZtit/1ZMalYzWaaOCVV2ZSvfpAADZuPAjAli0pye8SE/U4tyY12oBHATNmrOOtt+a5DUjbs+eET/VoA67RpE9mzzZSziqlXCZmGTdueciuFR+fwMqVu0JWnyZyaAMeBVy5cgOAc+euujTC9933bsB1x8ae49SpS/btkycvEhPTlyFD5gdcp0ajCQzDgBs6LiJB15eQkERMTF++/nqdfd+bb86lY8eJbN+uk+lFO9qARwH7958CjClhwfSiXZ3asOFQ6tYdbN+OjT0PwMKFfwd8HY1GExiHD58NS339+s2y79u3z3ifXLp0PaTX0qQ92oBHkG3bYjl9+rLXcmfOpJQJxgvui/G3FSlRokDgF9IEzd69J/W4ZwYgNvacX43uCxeu2XUwBB1wTTolLu4Co0cvCXpYM1Ma8LlzN7NkyTbAGA86d+5qROR4+OEx3H+/d/d3tmwpcz6Tk0PbA3cmJa+yfntEisOHz9Cs2SiGD18YaVGikmvXbjq4jffuPUlc3IU0l2PDhgM0bDiUmTM3+HxOcnJoXeiuCHf9Gu+88MJXfPjhz2zbFhtUPZnSgPfuPYMePaYC0LHjRGrWfMNt2fj4BIYPX8C1azeCvu7atXvZu/ekwz5fGg/WpA3WFtu2bbEBL2Rw9uwVl/t16z/ynD5t/DabNh2MsCTRic1jZQv8atZsFPXrv+O2/IkTF1m2bHtQ10xISGL//lPExPS1T//avdsILv3rL8/LtV+9mvJusSVsATh9+jJfffV7QPLExp5nyZJtXL0an+qYrROgDXjkuHbtJhB8YHGmNOBWrOvrtmgxhjFjfgKMhUCSkpL58su1fPzxCiZMWBHwNa5ciWf27I08/fQn9hSnvpKcnMzChVvs29bf++GHx/Dxx77LZXtYVq3aTa1ab/LLLztclfJLPk340JMGQsv581dp0GAIK1fu4tix83zxxRoAHn98HF27fh5U3Q8/PIZ77x0JQPv2nwEphjJLFveG8vLleKpWfc2+ffbsFftsk4kTVzJgwOyAvAetWn1Ijx5TmTfvr1THbO8BT3Jp0oZgdVxnYjO5eTORrVtj2bo1lkuXrjN58mr69HmI3LlzAJCQkBhw3QMGzOaHH1JnUHLm7NkrxMcnULp0YfOaSZQv/6pDmYoV+zls++OCsT0sth6Bbb6pqzJauSOP7iCFlt69Z3Ds2Hk6dpxo33fvvdU4evRc0HXv2pV6dVVbb9ra0/3pp23cdlspypcvBsCIEY7DJD16THNbjz+cPGnMLLl+/WaqY740LDRpQ7A6nul74DZuvXWQ/fPkyasB+PDDZSGp+/jxiz6Vq1XrTRo0GMKOHXEcO3benpnJE7axfF/wxd3ubnzs+vWbet3hNEb3wAPDnVvy119Tz322uq8D4dy5q/zzj+vpWDZDmTVrFhYt2sL16zd59tmpNGo0nJiYvnz66a/Exyd4vcZddw31WZ6tW486bLt6Pzg30jdvPsSFC9f46KNlPsmjCR5bx8s26ydQMl0P/Msv17rcH+oHVynF+PHL2bTpEFeueDbEr776HZUr32LffvDB9wBo1aqO1+v40zqvXHkAcXFjfSprM+Djxi3j7NkrTJ68mvbt7+KDD9r7fD1NYOied+CcPXvFPkzlS8+6bdtPUu1LSEgiISGRPHlyejx3+vS1DBw4x+1xW4P399/3MXXqb1SqVNzh+NChoc+10KLFBw467ur98PffRwDDgJ8/f5VWrT6yH/vuuw38/vvrIZdL40i5ckU4cuQcpUoVCqqeTNcDf+21FIXzx/gpZRjlfftO0br1R16N8qpVuxk1ajHLl+9w20K38c03f7hU5gULtrgoHV6cOy+jRi22eyRmzlzvcOzKlXiv34MmcHTmPP+ZP/9vbt5MmX5nSz/sjkuXUp7fUaMWceDAaf7974+pUiVlXFop5fJd8cknnuNP1q7dB6S41w8cOO39BkKM9Rly1lWl4MYNx+/n0KEzDtsrVux0mMaqCQ2FC+cFtAvdL5wjr7//fpPXcz799FfAUNZ77x3JiBEL2bTpEL/9tgcwlOLee0cye/ZG/vWv9zl48DQJCUn2KENXHDyY9opsxVX06YsvzgD8Gx+rVm0g1aoNDK1wGvvvo+237yQnJxMfn8Drr3/vsN9TD9mZceOW06nTRHtsyKFDZzhy5Cyff76asmVfoXfvGbRt+wkTJvxCcnKyx5fvnDkbuXgx8guQWKedDhr0PevW7bNvZ8+e1eO01ISEJJ55ZhLt2n0a8PWvXIn32ojSBE6mcKEnJyfz8ccrOHbMcbyhT59vvZ574UKKEh44cJoyZYwAs0WLttKjxzR69LiX/ftP8b//fQNAkyYjKFWqEEOHtnFbZ5MmI9izZ2QgtxI0f/99hLlzN6fa//33mylWLL89AjYt3Li//LKD3btP8PzzD4T/YukcpRSLF2+lRYta9u9e98B9Z+TIRS5nZHz77XoXpd1jzYTWuPFwh2M2vVmzZi/ZsmXxOA3rpZe+oVatMn5dO1RYvXm1a5e1dzbmzNnEnDkpnZbJk1fzxhuPua3Hlkhoz56Tbst4o1q1gdSrV54FC/oEXEdG4d57R7J//yliY8eErJGeKXrg8+f/zciRi/jyy8DmVFpZvdpQBpsyT5nyW6oyx497n/YRqZ7rI4+Mtc9Ft05PAxwWS1m7dh8vvzzTpzqd3W6+0rnzZIYNWxDQuRmNH374k//85wsmT15lV+4tW466jCLWpMaf6ZShYNSoRV7LBJukI1BsXkPAbrxdMWvWBp54Yrzb47YcFUlJyfz5p+e57J7YvDnwczMKSil7SuzLl2/YG+k2z2egZAoD/vzzX6X5Na1r+aZXvI3JOY95g5GXfevWow7DEc49FY3/9O5tKPKZM1eCyraXGfGlwRxqbt5MCnne8kjg6h2wZMlWYmL6OuSJ6Nx5UlqKleFYv/6A/bM1FiHYKYwZ2oW+fv0Bh5W20pJQ9PbTI7ZkFba56prQkiNHVodhmyxZMkUbO2AmTPiFadNSe8E0gdO3rzG0aPUunj+f8kwuW7adxo2rkDev5yh9TQpWo718+Q7++suYCaBd6Ca7dx9PNWbYps14evWaHiGJMjbO8QQ2Vq/enWouqr+cOnUp066UdPz4RZ55JqW3o5NtGKxdu5cePaYyatQiB+/PiBELfc6zoPENW2S+q+Gb/ftP0bXr5/Zsc9eu3WDq1N+YOHElycnJbN9+zOsypYmJSQwe/AMnT2ae3+2nn/6xf7YGVgYb55IheuCzZm2wB6RlySLExn4QYYkyLzbF/uGH3jRoUJEyZV4BYNiwJyldujATJvzCjz++6NCzVEo5BATVrTuY4sXzs2XLkLQVPh3w3XeOC19oA27QufNk4uMTWLJkG+PGLfc5n4EmcJyTjAwcOMc+jrt58yFmzPidFSt28dNPRrKY3Lmz26fpzpv3Ig0bVrKfO2rUIgYMeAQRYdasjUyevJrJk1dnmt/Rup6FFZ1KFRg//hf75+RkxY4dcdrFm8a0bfsJa9bstW+3aTOBHj3utW+PGbOU8+eNoJj/+7+vKFo0n/1Y6dIv8/777ejY8W77Pl+WWc0M6KQuBs6JlmbM+N1rohVNaJk+3TEJVv/+sx22p05Ncbk7B8eNG7ecxx6rS82apTPl7IpcubK73K8XMyG1q+fBB9/jttsGuSmtCQdW423DOoZmfVAXLPjbvpBEStnVqc4Ph6LPmPE7S5f+471gGqGU8pgMR68YZSzL6Uz//rPtgX+a9IG36Wa2YTdr9jHbjJjdu48HPGymlGL58u0kJSVz/vxVh6VkI82xY+cZPPgHhxk+oSTqDfjBg6cjstavxj+sgVmu2LnzOCdPXnTIt96z5xfmsTg2bz7E1as3OHHioj0rVnJyMuPHL/caqHj77W8wfryxtGT//rPp3n1KEHcSPMnJyVy6dJ2vvvqd0qVf9jilUBvw1L05TXTSvfsUdu6Mc4jxGD9+OTduJHL//aN54onxxMT0JSamL+3afcq1azfZtOkQMTF92bfvlNt6p01bQ5cunzNo0Bx77vd+/WYFJGOgy0bfvJnI5Mmr7HPna9Z8g5iYvjRoMMSeyTIcSKTcGfXr11ebNnnPhOaNmJi+IZBGk14pXbqwveWeO3cOu7elc+dGZMmSxe7WmzGjJ5s3H6Jfv5YsXfoP2bNn5YEHbnNY0S0ubqz9edm//11y587Bnj0n+PPPw7RvfxdgZNA6duwC//lPUw4cOMPvv++la9d7yJkzG4sXb+W220px4cI17rijvM/3oJSidOmXqVSpOD/88CJ16rzl87m+jBGKyGalVH2fK00jtI5rwsHhw+/bdfrAgdFUqtTffqxkyYKcOGEEx9WqVYYKFYpSpEg+pk9fy9ChbWjcuArNmxtrTdxzT1W753Dx4r4sW7adsWN/ttfVqlVd/vknltGj27JmzV6OH7+AiNC9+z0MH76QMWPaUaRIPvLkycH48csZOdLIDWB9T/lCMDrukwEXkRbAR0BW4HOl1Cin492A9wBb+OEEpZTHBXZ9Ve7Ll+NJSEiiSJG8Lo9r5dZYGT++Ey+++LV9++mn6zN7tvGcTZrUlZ493c9KePnlh/ngg6V+XS9HjqwOubetL5CxYzvw9NP1mTfvr4DdvWllwCOl40lJyXTo8Blr1uylTp2y1K1bDjDGWz/8sINP2RI1mmgmrAZcRLICe4CHgFhgI9BBKbXDUqYbUF8p1dtXob0pt63XotFkZtLCgEdKx7/8cq3D4kIaTWYkGB33ZQy8IbBPKXVAKXUTmAk87reUfhJoek6NRuM3EdFxbbw1muDwxYCXBqyZOWLNfc48JSJbRWSOiJR1VZGI9BSRTSKy6fTpyK7IpdFo7EREx4sVy+fxuEaj8UyootAXABWUUrWBZYDLgUal1CSlVH2lVP3ixYu7KmKnUKE8bo/169cyCFE1Gk0AhFzHe/duHnopNZpMhC+JXI4B1tZ2GVICWQBQSlmz+n8OjA5WsMKF89rHBoy1d8VhSk3fvv8CYOXKXXTsODHYy2kyMHPn9mbkyEX2dZ7bt7/LYaGWuLix1Kjxun2q29ixHez5oLt3v4dp04w56yVKFEApxYgR/+a556YBMGZMe2Jjz5GQkESTJlXp0OEzfvzxJapXL8mePSepV688q1fv4ddfd9K2bUMefPC9tLx1X4mIjrdvfxeVKhVn5swNLF68lX/+Gca0ab9x662lyJkzG1u2HKVBg4r27H4ajZXnnmvK55+Hb4pWNOBLEFs2jACX5hhKvRHoqJTabilTSil13PzcBhiglLrbVX02QjXFRAe7ZQ5+/PElevSYypkzRh7sKVOeZcuWI7z22qMO5TZsOMATT4xn8uRu5MiRjXXr9vPWW60BY5nFGjViaNasOrNnb6R8+aIO6R5PnbpE7tw5yJ8/Fz///A8HD56hV6/72Lr1KBUqFKNAgdz2ss8//xWFCuVhxIin/LqPkycvMnHiKhYv3sKRI95XIkqjILZ0reN6pknmpnfv5kycuJKEhCTy5MnBtWvGFK2tW4dQu7YxJTMubixTpqzmzTd/AOCtt1ozZMh8cuXKzldf/YcmTarSqtVHbN58iHnzXuTmzSTatv0EgK+/7kmnTpPo168lPXrcy/HjF8iSJQvNmo2y1z19+lqaN69B9uxZWL/+AI8+WoesWVM7sJOTk+3po30lLaaRPQJ8iDHFZKpSariIDAE2KaXmi8hIoDWQCJwD/k8ptctTnaFSbtAKnl556aUHGTduuctj1rmcrihcOK899SrA9u3DuHEjkaeemsC33/6XcuWKhlzetOTSpesMGvS9fV15d6ThNLJ0q+P16r0TkSVDNd6pVKm4yyVJ33uvHf36fefx3BdeeMBhHXerQV616jXy589F9uxZHdIug5E05cKFa9xySwGH/Uopdu8+wa23lgKMxvIttxRwmxTjKy0AACAASURBVAzp6NFz5M2b0+0U5cOHz1C2bJGAVgRcsmQb77wzL+yNdJ8kU0otVkpVU0pVVkoNN/e9pZSab34eqJS6XSlVRyl1vzfFDhd16riMq9GkEY0aVXbYbtPmTqZPf86+PWVKd8CYK+2c3H/o0DYO2926NaFXr/t47722xMWNpXDhvJQsWZC1a1+PeuMNUKBAbiZMeIaVKwdEWhQgfet4s2bV0+pSGj9Zs8Z1yupHH61NpUqeYyCaNKkKQNmyRZgw4RmKFcvP7t0jWbr0FapWLUHJkgVTGW+AHDmypTLeYGQttBlvgBIlCnrMZFi2bBG3xhugfPliAS/n27JlLVavHhj2BZmiPpWqlQ8+aE+fPg9FWoxMy513OmYnS05WPPTQ7ZQpYywsY3M51azpGOD8xhutePbZexk27Em2bh3ClCnP0qfPvxg8+HE6dWqUNsJHiGrVSkZahHTPO+88Yf88ZUp3qlYtEUFpNM68/vpj9s82g5iYmETTpikNrxkzeto/P/10fbJnz0qjRlX4/PPu/Pprf558sh4A+fPnolatMmkkeXjJkSMbxYvnD+uKaxnCgK9Y0Z82be7kttti6N//EZ56ql6kRcrQrFr1msv9ycmOwzGJiUbO8g0b3vL4EBcqlAcR4dln76VYsfy0bFnL7fJ7GRGd79wz+fPnomjRfOTKlZ2WLWu7ff40keGFF5qzYMH/+PXX/uTMacRF37iRyMMP17SXuf/+Wzl6dAw///wqH33UicOH3ydnzmw88khtvapcEGQIA37rraX4+OPO9u3x45/h6NExHDyYEvFboECuSIiWIalatQQLFvwv1f5nn72XWrXK2JdytS06YqN+/YrkzZsz1fShzG7Adu8eEWkR0j3btg3lwIGUwPfFi/sydGgbVqzo7+EsTaD89pvrBXbcrU9fr14FqlcvZXebZ8ki9oU9wNDxrFmzpPK+aYIjQxhwV2TNmsXeGgRo1KhKWK/300+ZIxL+o486AobCdu5suLcbNarM9OnPUbp0YZYufYU5c56na9cmqVxhRYrkZe/eUfbI77ZtG6St8OmUfPl049Jf6tYtR48eTR3GPNMTtmGjaKRUqYJUqlTcPnvDRsGCuVm16jU++aSzmzNh8uTuTJ7cjVKlClG9evr8bSJBuNzovswDzxC4azmGitq1M0cA3dNPpxjdgQMfI0+enAwc+Cg5cqQ8SuXLF2PkyH/7UFvm7nlb2blzBFu2HOH77zfZF1/RpC9+//11Gjce7lPZ2NjzYZYmfKxf/yYiwn//ez9DhswHYMOGN8mbNyeFC+elcuVbqFSpOOfPp14iuFChPDz6aB0guhsx4eDTT7tw6dJ1BgyYHbI6M2wP3BlXc/b8pX79CsELkk6wrfpkI0+eHIBjS/HZZ+/1WEehQnkYPPhxB+MdCJncgw4YvZumTavz0UedIi2Kxg0VKhSLtAghYdKkrh6PZ8uWEn+ydesQli/vR5kyRShcOCViu3btsnp2gJ88/vgddO7cmE6dPKZP8ItMY8ADGWddtKiPw/b8+SnjvlOmPBu0TJHk/ffb8dlnXezbmzYN5s8/33Yo07RptbDK0KGDsQZ348bhHd7QaHzFGvEe7Xz33f85bH/9dU/Wr3/TryjvYsXyU6NGTMAyNGhQMeBzMyq9et0fsroyjQHv39///OmeepbNm99m/7x+/ZsADBjwSKpx3W3bhrJsmfuEJZ7mIYaTpKRkh2GFQoXyULJkQYcy4Y4Ev+uuSsTFjc0Q87o1kSeQ6UfOU9JsAZjOvPFGK5f777vvVjZufCvV/kDeN6Hm3nsdG+D3338bZcsWIVeu7Gkmw6xZz7Nzpw7StBLK7z/TGPCYmEIO261b3+H1HE8GzOqSL1u2CAD/+99DDqk9Z89+nqJF83H77SmRl0OGtOHo0TH27WXLXk2VACWc/N//3U/t2mWoWrWE2yQF8+f/j59+epmEhJQo0ly5sqdKtqLRpCesegYpw0L+0LJlLfvn559/AIDXXnvE/vnYsQ9o1aquvUyvXvdRunRhh557hw530afPv+zb4ZwHHAj58xspgcPtYQPImTMbBQvm9l4wE5ErV+hCzzKNAbeO6wAULJgS+TtoUEoiAltvGjyPm3vzyJcoUcCeacjKc881dahXKSO4YciQFOPYsGGK28naWnM3tcMf6tevyE8/vUKuXNndDivUr1+B2rXLOri/7rmnKj16NA36+hpNuChZ0jE7l/OQkI169SrYP1eufIv9c8WKxRx0wpX+WxdV+vjjzvZxYGvjYcyY9qnOs75jnnvOvR79+mvw0+Li4sZ6bDTkyZODVateY9q0Hg7337VrE+bO7R309TWeyZlT98D9Jnv2rJQqVcjlsV697rN/Llu2CO+/347Zs593UODHH3fssbszfrfckp8nnrjTrzHyW24p4KDUtkUzvviih0Pv3KpsocBbZH7hwnmZNq1HSK+p0YQLa68XHJ9va0PYlt63X7+WDr1D54Qi+/efAuDYMceIcpuuNm6copvlyhXxKFvv3s15++3HU+3ftm2ow3a4pl61aFHLYbtq1RLkzp2DhQtT4nyeffZe7r477byBmRXtQg+QYcNSermegto6drybJk2q2g146dKF+fTTLg5l3J2fJUsWPvmkc6q0os6UKmWMN7taTOaFF5qTM2c26tWrENYkJ7YX3IMP1vBaNrMnW9Gkf5xjVqzPrFXPihTJy6FD79Gnz0P2MmXKFGbaNMdGty2PhPNQU/36FYiLG0uJEikxI84ePm8UL54fwGWu73Dw2muPuNxfsGBuqlQJbcdA45ls2UJndjO8AZ87tzfvvvs0AC1b1rbPT7YqtDvbZDNwzilCQ4N7g3jXXZU4ePA9ihbNR+vWdd2WC4QmTVIivm3355wxzRW+rFqnCQ3lyxtBfbNmPR9hSaIHmyF0t7iGMzlyZHMw8H36/IsyZRx70bbfwdXCGc74G/C5evVAe/BboUJ5/Do3EDy9w7Rqpy3W5y7Y3niGN+B3312Zzp0bB3SurQeenJxi4JyVLVDle/XVFoD3Fnjbtg0Dqt8d1jWtU+7PvQbrjnfas3btII4eHcM996SOodCkZt2611m92siPXqlScXLnNoLXrM+uuwaorYzzYcMdLx7PteJPD1zE6PnaIt59bXT4wvLl/Ry2bQG2ugGevrjjjnI891xTlzMY/CHTZGJzxtoKcucethk426IcYMyXthn0iRO7BryEaYcOd9nnQdt45ZWHXQa+hYq8eV0vGqBb5+mLQJcwzKyUL++YYMWVsSpSJB8nTlxMtT9F91POsQWAxcae54cfNvvUiM6ePfVvtm3bUAfduv/+23j77R9TzYAJZZS2c1zLtWs3Aa3H6Y1Fi/qGpJ5M96awJdP3JTd6igs9xYDnyZPDnru6Vau6IZ3D/MorLcIaRDJ4sGNuY9vLS7fONRmJYsUMr5a1Ye5Nr1zpQJkyhVm37g2fUoJmzZq6B160aD77WDcYgWNxcWMdouBDjbMn4OzZKwBcunTd7Tla/6OXTGfA69WrwLZtQx2iyt25iW09cF/GiMPJnDkv8M03vbyW81SmQYOKqdbW9sU93qhRZSpWLGZ3+Ws06Z3vv+/N+++3s7vSISWpiXMAkTsXur8EE5hkk8GX3BSeaN78NipXLu6wz5ZFzZ33DbCv2124cPjH4jWhJVO60H2N/LQFGIR7JTNv+Jpq9L77bnV7LG/enAFFkhcokJu1a1/3+zyNJlKULVuEjh0d803bpnnZVsKzceedFfj66z+CjsQOZrGkLFmysG3bUIf4FFc0aVKF2bNfICbGtfu1R4+mqXTcF51/550n6NWrGcWK5fdaVpO+yHQ9cFe4e8hz5crudfm8SFG3bjly5szGLbe4VzpvGaCqVy8JQPv2d3ksp9FEO7axaGdD2759Q9auHRR0Iz3YaZZFi+YLKHWxNWWrdf1tGyVKGBH01qWVncmePWuqOAJNdJApe+D+4JwrOVBCnU5x/vyX7ONd7lrkVly9X0qUKJju0jxqNOHAZsBd9VArVizu6hS/+euvt0O6tvtvvw2kePH8fPbZr3z44TKXZZ58sh6jRy8BcEh9bGP8+E4sXfoP1aqVDJlcmvSD7oFjKHGzZtWjapzXXYu/YkXdktZonKlfvwK1apXhzTdbey8cICVKFPQ41uwvlSvfQoECuWnc2JiZ4mqc3voecF6MCIxsitrDlnHJ1AbcmnP822//y8svPxxBaULD6tWu86W3axfa+eQaTTSRN29Oli59xT4LJZqwRYnbbPXPP6esbmg14L4knNFkLDK1C/2rr3py5MjZSIsREN4i550JNsJVo4lG7rmnakjd2pHEZqytjRDre8DdUqiajEumNuD58+dKtQRhekdEUEo5uNOmTOnu0n2m0WR2MkI62rp1y1G8eH5eeSX1EJ/NqNvWVtBkLjK1AY9GZs36P77++g+HaNqWLWs7lFm5cgA7dx5Pa9E0Gk0YyJ8/F1u2DHF5zNYDD896DZr0jjbgUUaTJlW9plutVq2kjjrVaKKUefNe9Jpbfdu2oeTIkY1r124AOptaZsWnIDYRaSEiu0Vkn4i85uJ4ThH5zjy+XkQqhFpQjUYTPrSOpx8aNqzkdTniokXzkT9/LrsLXffAMydeDbiIZAU+BloCNYAOIuK8gHQP4LxSqgowFng31IJqNJrwoHU8eklZzyDCgmgigi898IbAPqXUAaXUTWAm8LhTmceB6ebnOUBzCTY1kUajSSu0jkcptlgY7ULPnPhiwEsDRy3bseY+l2WUUonARSDVMl0i0lNENonIptOnTwcmscYvcuTI6rCog0bjAq3jUYpeUTBzk6ZBbEqpScAkABE5LSKHfTitGHAmrIKFjnQrq8hoV7vTrbwu0LK6x/OAaRoSgI5H0+8K6VTe48dBZITz7nQpqweiSd50oeO+GPBjQFnLdhlzn6sysSKSDSgIeMyQopTyKQGxiGxSStX3pWykiSZZIbrk1bKGlYjpeLR9V9EkbzTJCtElb3qR1RcX+kagqohUFJEcQHtgvlOZ+UBX8/O/gRVK+3Q0mmhB67hGE4V47YErpRJFpDewFMgKTFVKbReRIcAmpdR8YArwlYjsA85hvAA0Gk0UoHVco4lOfBoDV0otBhY77XvL8jkeeDq0otmZFKZ6w0E0yQrRJa+WNYxEUMej7buKJnmjSVaILnnThayivWAajUaj0UQfmXo5UY1Go9FoohVtwDUajUajiUK0AddoNBqNJgrRBlyj0Wg0mihEG3CNRqPRaKIQbcA1Go1Go4lCtAHXaDQajSYK0QZco9FoNJooRBtwjUaj0WiiEG3ANRqNRqOJQrQB12g0Go0mCtEGXBNyROSKiFTysawSkSphkKGbiKzxcHyJiHS1bA8TkTMiciLUsmg06RkR+UJEhnk4btdnEcktIgtE5KKIzA7weitF5LlA5Q2WSF8/lGgD7gbzobX9JYvIdct2JxF5W0RmWMorETklItks+7Kb+5Rl30oRiXeqf4EbGXKIyBgRiTXLHRKRDy3HD4nIg07nOBguaxnzWJLTtSd4u1d/vzulVD6l1AF/z3PGmxEOBqVUS6XUdPM65YBXgBpKqZLhvK4mOMzn2fZ8njSNTz7z2EoRec7UT9vze918pu3PuFm2oYgsFpELInJORDaISHfz2H0iEuvi2m5f/NGqq77gpM//BkoARZVST3sz/hkZESkmImtF5Kz5HK0TkSZpKYM24G4wH9p8Sql8wBGglWXf125OOw+0tGy3NPc509tav1KqlZv6BgL1gYZAfuA+4M9A7sfCOqdr9w7wXlNhbbxEGeWAs0qpU5EWROMTrcxn9U4M/XjDelAp9bXleW4JxFmfcRFpBKwAVgFVgKLA/+Gou/4SVboaBOWBPUqpxDS4VnrnCvAsUBwoDLwLLEjL96A24KHlK6CLZbsL8GUQ9TUAflBKxSmDQ0qpYOoLOabn4QUR2QvsteyrYn4uKobL7ZKIbBTDVe3cu31QRPaardiPxeA24DOgkdm7uODm+t1E5ICIXBaRg869EBF5X0TOm8daWvbbemsPAsuAGPM63/lyXU3kUUodA5YANf089T1gulLqXaXUGVO3Niul2gYhTrrWVVOnxorhEbwkIttExPq9FRaRRaYerReRypZzlYhUEZF3gLeAdqZu9AI6Af3FsyfxIRHZJYbbfQIglmNZROQNETlsyvaliBQ0j00XkVfMz6Vt7xpzu7LpOcli85iIyCtmHcdt3hQPVDa9LpdE5EcRKWLWu0hEXnSSf6uItHGuQCkVr5TarZRKNu8pCcOQF/Fy7ZChDXhomQc0FZFCIlIYuBf4MYj6/gBeFpHnRaSWiIjXM0KMiHwiIp94KfYEcBdQw8Wxj4GrQEmgq/nnzGMYL8DaQFvgYaXUTuC/pPRCCrmQLS8wDmiplMoPNAb+thS5C9gNFANGA1Ocv0Ol1HIce2ntvF1Xkz4QkbLAI8BffpyTB2gEzAmxOOldV/8FNAWqAQUx9Oys5Xh74B0MA7QPGO5cgVJqMDAC+M7UjYnA18Bod55EESkGzMXwkhQD9gNWN3M38+9+oBKQD5hgHluF4ckAaAYcMO/Btv2baTzBeL8UBEoDPYCPzXewO7pg9J5LAYkY7xGA6cAzFvnrmHUucleRiGwF4oH5wOdp6cnTBjy0xAMLgHbm33xznzPjzN6m7W+om/pGYrhlOgGbgGNiCbwymWetC/BmbO92uvbdngorpZ5XSj3vpc6RSqlzSqnr1p0ikhV4ChislLqmlNqBoSDOjFJKXVBKHQF+Bep6uZ6VZKCmiORWSh1XSm23HDuslJqslEoyr1sKY/xOE93MM5/1NRgv+RF+nFsY47133Eu5GCc9uQDc46F8etfVBAzX/q2AKKV2KqWs38EPSqkNpmv8a/zTQU88AmxXSs1RSiUAHwLWQNFOwAdKqQNKqSsYQxHtxXBDrwLuEZEsGIZ7NCnGv5l53Hp/Q5RSCUqpxRju7eoe5PpKKfWPUuoq8CbQ1nxfzQeqiUhVs1xnjAbLTXcVKaVqAwWAjhjPZJqhDXjo+RKjdefJff6SUqqQ5e9NV4WUUklKqY+VUk2AQhit4qmme9nGE9a6AG/G9g+na//h3+255Kib/cWBbE7HXZW1KvQ1jFa4V0zls/WYj5vur1td1auUumZ+9KluTbrG9syXN43Wde+n2DmP0egr5aVcnJOeFMLDyzm966pSagVGz/Zj4JSITBKRApYiAemgD8Rg0XmllMLxHRADHLZsH8Z4Z5RQSu3H8N7VxfBmLgTiRKQ6qQ34WadxeW/3YJXhMJAdKKaUige+A54xGw4dMIZGPWK6078FXjN77WmCNuCh5zdSenoha40ppa4rpT7GeAG5clVHEuVm/2kM91QZy76yIag3pYBSS5VSD2F857uAyX7UH/B1NdGJ2ZBbh+EZCtc10qWuKqXGKaXqYchUDegXimq9HD+ORefNoQXrOyAOIzDORjmMd8ZJc3sVRuR7DjPmYRXGMFxhHIfL/MUqQzmMHvwZc3s6hmegOXBNKbXOj3qzYwwFpAnagIcYs4XZCmhtfg4YEeljBmjkFpFspksuP36M+UUS03U9F3hbRPKYveMuXk6zchIoIyI5XB0UkRIi8rg5Fn4Dw22W7Kqsn3i8ribq6Q90E5F+IlIUjLFOEZkZaIXpXVdFpIGI3CUi2TF6tfGETlc8GaxFwO0i8qTpFn8JY7zaxrdAXxGpKMZ0QNsYu603vQroDaw2t1ea22vM90ugPCMiNcyYiCHAHFt9psFOBsbgofctIneLyD1iTCHMLSIDMDpu64OQyy+0AQ8DSqntTmOxzjjP59zsptw1jIfoBEbr8AXgKRWCOda+IiKfichnQVTRGyO45ASGMnyLYWx9YQWwHTghImdcHM8CvIzRij+H4Vb7vyBk9fW6mihGKfU78ID5d0BEzgGTgMVBVJvedbUAhnfqPIbL+CxGNH6wTAFqmGP085wPKqXOAE8Do8xrVgXWWopMxXgvrAYOYjQsrFHgqzAaQjYDvgbIY9kOlK+ALzB+r1wYDQsrXwK1gBm4JyfGkMRZ4BjGeP+jSqm4IGXzGQmyk6jR+IWIvAuUVEq5ikbXaDSaiCMiXYCeSilPgYsRR/fANWFFRG4Vkdpi0BBjiscPkZZLo9FoXGG61Z/H8Mqka7QB14Sb/Bjj4FcxojvHENzceI1GowkLIvIwRvDtSeCbCIvjFa8udBGZipFo45RSKlXGIzOq8CMM//81oJtSKtgUghqNJo3QOq7RRCe+9MC/AFp4ON4SIzChKtAT+DR4sTQaTRryBVrHNZqow2vSdaXUahGp4KHI48CX5pSpP8RII1rKKctPKooVK6YqVPBUrSY9cvbsFW7eTKRUKZ1hNL2wefPmM0qp4oGer3Vco0nfuNPxUKyaUhrHrDax5r5Uyi0iPTFa8JQrV45NmzaF4PKatCQmpi8AmzaNjbAkGhsicth7qaDQOq7RRBB3Op6mQWxKqUlKqfpKqfrFiwfcYdCEmaZNR1KnzluRFkMThWgd12jSjlD0wI/hmJaujLlPE6Xs26eXxdY4oHVco0mHhKIHPh/oYs7zvRu46G1sTKPRRBVaxzWadIjXHriIfIuxJmsxEYkFBmMkbEcp9RlG+sFHMNaQvQZ4W0hdE4UsWbKNGjW8LeCkiUa0jms00YkvUegdvBxXGHl/NRmYHj2mRloETZjQOq7RRCc6E5vGKw8/PCbSImg0Go3GiVAEsWkyKL17z+DUqUts2xab6tiOHXHUqBETAak0Go1GA7oHrvHA3LmbWbNmr8tjBw7oSHWNJhIkJycTE9OXzp3T/VobmjCjDXgmp379dwJ6EehVaDWayJCUZCjfL7/s5K+/wp3DR5Oe0QY8k5GcnMzAgXPYs+cEAHFxF/jll50B1KMtuEYTaU6cuBhpETQRRBvwTMbhw2eZPn0tXbt+7vL4rl2+Te/11YCfOXOZ+PgEn+XTaDS+s2jR1kiLoIkg2oBnMoyVId233AcOnONTPa6Wod216zirVu122Fe79ltUqtTfTyk1Go07rLo3d+7mCEqiiTTagGcyTPvNjRuJQdWTlJScat8DD4ymQ4fPgqpXo9GkRinF+vX7UUrp+BONnUxhwA8fPsNvv+2JtBhhZfXq3W4jxq3YeuDucNWzdoUeA9do0o5vvllPmzYTWLhwi886qsn4ZAoD3qjRcNq1+zQsdY8bt8ze67x27SarV+/2ckZ4aN/+M9q2/cRrOW8G3Fdc9cA1Gk142L/fmLZ55MhZbcA1djKFAQ8no0Ytto/79uv3He3bf8bBg6dJTEwiMTHJoWxCQhKPPjqWtWu995S9MX78cl5//Xu/z3Nnv5cs2crx4xd8ds8lJ6cY8PXr93Pt2g37tu0Fo180Gk1osOmSiGgXusaONuAhZM+ekwBcvhzPnXe+TfXqgwDDOMbGnufYsfP89dcRXn31u4Cvcf36TQYMmMXIkYuYNm2N3+c2bDjUvn31aorR7dFjGk8+OcFno2srFhd3gTZtJtC370z7MZt7XbvZNZrQYnjQtF5pDHQq1RBi7d2eOXMFgIceep/t24+RLVsWVq16LehrfPfdBr76ap3XcnFxF9i69SgtWtSy76tceYBDmapVHeU5evQcxYrl90kOmwvd1gjYvj1leejkZEXWrNrNrtGEipQeuE6ipElBG/AQYlOsFi0+sO+zGbbExBRjFsw4tK9G8bHHPuTEiYvMndubS5eu869/1fR6TnKyYvPmQz7Vf/DgaYdt6z3Zet7uZI2NPUfWrFkoVaqQT9fSaDITN28mcuHCNY4cOUeVKrdQqFAeuwG/dCleD01p7GgXehC8886PfpW3pUAMhEGDvicmpi/Llm33WO7f//6YMmVets/zfvLJCXTrNoWYmL4BX9sVkyevdti2vlRshtvZgPfvP4uYmL40bDiUevXeCak8Go07Vq7cxbVrN1m3bh8xMX1TNT7TG716Tadu3cG0bv2RPc3x9u1xAHz44c+RFE2TztAGPAgmTlxp/7x370m3AWLOnD17hdjY8xw9eo6YmL78+qv3VKZffGGMd69e7TgdLiHBMVDu99/3pdnYs3OQno3Tpy8BqRssM2a4d/2fPHmRv/8+EjrhNBpgz54TdOw4kUGD5jBr1kYA/vjjALGx5+nWbYo9+NJZjyLJ0qX/2D9v3WqsBHjt2k37Plcd8B074rhyJT7ssmnSF5nKgIfS9XTp0nWH7WbNRnlNGdq06UjACHJr2HAI69fvBxyzKcXE9OWZZyYRE9OXyZNXERt73mOdM2euD0T8kHD9uuv7bdRoOMnJyVy+7PsL5YEH3uORR8aGSjSNBoCLFw093b//tL3BmS1bFkaOXMjPP//D//73DcOGLaB8+VdZuPBvv+u/eTORvXtPhlRmK7ZOgfXd5fweS05O5sEH33ObHlmTccmwBvy33/awYIGjQoaiZ6qU4vnnv+Lrr/9IdWzfPv+W2Dx+3HBz//jjX8TE9KVfPyM6fcUKo0c+ePA8GjYc4rHhMWDAbH75ZYdf1w0Va9bsoUuXyS6PDRkyn4YNh/hc1/nzV4OSZc6cjVSq1D9d9aQ0aU9iYhIxMX3p0+dbF8eMIZ1s2bLa9y1atJVPPlkBwJIl2/y+3qBB39Os2SjOnLns8vjChX87zPYAx6xq3hARzpy5zJYtRy3nO5YZOnQBAOvW7fdTek20kyENuFKKdu0+pVev6Q77hw1bEHTdV6/eYN68Pxk6dH7QdY0cuQhIebG4ahT4QufOro1ouOnRYxqHD58F4MABx3HF2bM3Omz7OgY/f/5fAckyePA84uMT/Or1azIWSim7N2vWrA389NM2unefAsDmzYfsMRmvvDLT5fmBNPDXrdsHpPT0rfzzzzF69pzOgAGzHfb/8MOftGkzgTlzNnmtPyEhidq133LYSo49uAAAIABJREFU52z4rUN5msxFhjTgM2ducLk/FA96tWoDg67DXwYPnpfm1wwWXyLt3313MStX7rK/BAH++98vA7qe7eWcJUtoMs1poovDh89QuvTLjB69xL7v2Wencu5cimdn4cItAG4behcvXndISOSKTZsOMWLEQvu27Tl31Zm+cOEakHrhoH37DJf70aPnUp3z55+O63u7alToKHSNjQw5jWzJkpQl9ty5tvzl11938sUXa0NSl798/vlq74XSGb4Y0o8+Whay6126ZLyQ9dzzzMfKlbvo2HEiYOQ/8IXly1MPO61cuYsqVV6jd+/mlC5dmK5dm6Qq07r1RwAMGvSYw/5vv/2D2rXL8vjjd9j3jRtnPN/WRkTfvt/y3XdGB+P993+icuVbePzxO+jUaSLNmlWnevVSXmXX9ltjI0MacCvO7idfWLRoC9WqlaRQoTwUL24kNuncebLOLOYHwUyZs7FkyTaOHTvHc881s++7cOEaOXNmI3fuHC7POX36MkWL5rNv79lzguvXb1KnTrmg5dGkT95//6eQ1jdhwi8ALg24jd27j1OtWkn70NGnn/4K4GDAbYsLWaet2Yy3jRkzfqd589v49ddd/PrrLtq3v8urfLoHrrGRIV3owXDixEX+858vaNZsFHXqpBh/bbz9I5igtOTkZHbvPk6PHlN566159OgxFTDG0WvUeJ1HHhnL8uXbiYnpy44dxvzYwoXzAMYUPasb9L773qVlSx3dnpHJmTO8/ZC//jpMTExfh4WKnn76E/bvTz2f3JUL/saNRLfu+atXbzoMy/kyq6RWrTd9FV2TwcmQPfBgMp2dOnXJYXv16t3aZZXGNG06yiEobsmSbXz88S/27d27TzB8uDEO+eCD79GoUWXOnzfGG59++hPuvLM8Cxf2SVuhNWEnPj6BevXeZty4TjRvXoPp09cycOCcsF1vx444Dh48bQ9Ca98+Za37M2eu2KeFWqlS5TUefbQ29913q8P+224b5PIaOveBJhgylAG/fv0msbHnOXnyovfCHuqwYlVaTdrgHNEO2A22jaxZU5xHztNnnAOBwGiY3XJLgRBJaDBs2AJ27TrOjBk9Q1qvxjVvvDGX8+ev0bnzZHbtGhFW4w1G4zAQFi3ayqJFW70X1GiCJCpd6DduJHLkyFn79tKl//DHH/upXHkAzZqNsmcv8pd9+07Rps2EUImpCSM217k7li/f7uCyrFt3MADLlm3nnXd+5OzZK3z00TL73H2lFL16TfcaMBgT09c+Je6TT1bY5+xrws8336RMs7z1Vtc9Wo0mM+GTAReRFiKyW0T2iUiqJbVEpJuInBaRv82/50IppHXtaYBXX53J3XcPY8GCv9m48SDdu0/hySeDN7zduulMRhmFLl0+p0oVx0c1JqYvXbt+zsSJK3niifG8++5imjYdSUxMXz76aBkLFvzNW2/9wPjxy4mJ6culS9eZPn0t9eu/k8ozY8U262H37uM0ajTMnplrwoRfiInpy8aNBxkz5ifuuWcEO3caDY9hwxbw7bfr6dPnW5RSKKVISkq2Z967ciXe5dzicBFpHffEsWPntatZo3GBeItoFJGswB7gISAW2Ah0UErtsJTpBtRXSvX29cL169dXmzZ5T2RgTQCyYkV/Fi3awpgxS329TCrmzu3N3XdXtm9fuHDNHtV5++1vBFyvJuNzzz1V7ZHFzzzTyGNu9+LF83P6dPBTGOPivAfgichmpVT9QK8RKR1PSkrm0KEzVK58i9sySilKl37Z10tmenbsGM7o0UsYOPBR8ufPFWlxNCHCnY77MgbeENinlDpgVjQTeBwIa/7OK1fiUyVNeeCB0UHXG4qeuiZzYjPe4HlhFiAkxhuMwK1cubKHpC4PRETHJ0z4hXffXRzOS2Q6atR4HYA8eXLwxhutIiyNJtz44kIvDRy1bMea+5x5SkS2isgcESkbrGAHD54JtgqNJupJo+mLEdFxbbzDx5Qpq0lKSubcuasO0y01GYtQBbEtACoopWoDy4DprgqJSE8R2SQim06f9rwm7y235A+RaBpN9JIrV7qZKBJyHS9YMHfopdQARqDvgAGzqVnTGBZ88MH33C7/q4lefDHgxwBra7uMuc+OUuqsUsoW8vs5UM9VRUqpSUqp+kqp+sWLF/d40VBP+bFSqVJx5s17EYCdO0dQtGg+6tWrwNy5Pg/vaTRhp2PHu8mSJU0mikREx99++wkAhg9/im++6cXevaP48svnmD79OY4d+4A//3ybo0fHBHhLGmvUPsDGjQcjJIkmXPjSvN8IVBWRihhK3R7oaC0gIqWUUsfNzdZA0HNrRISePZtx8eJ1xo7tQGJikn3u78aNB6lZszRz526mf//ZXmpKoVWrukyc2NW+bQsQ2rZtaLDiajIQOXNm48aNRJfHxo7tQIkSBey5t996qzVDhhgr07VoUYspU7qzd+9J7rvvXcB4tmyZs6ZMedaeVa5793soXDgvrVvXtZddtuxVlIJz565Qr14F8ubNGdb7tBARHbfly3/ggVspX74YAA8+eLv9eMmSBQHH4MF27RqmSkeq8Q3b971w4d+cPHmJHj2aAsYCLZUqFadIkbyRFE8TAF4NuFIqUUR6A0uBrMBUpdR2ERkCbFJKzQdeEpHWQCJwDugWCuFsLXRwXMO3YcNKADzzTGOefLIeU6eucVghyMPdhEIsTZTTo8e9PP10A1q0+ICcObPx999DmDfvT7p0aeyQxS8pKZmyZV9h0qSuPPxwLVat2mU3MJs3DyZXruwULpyX5s1rcONGIjVrGsPG1aqVdIge3717JFu2HOWee6qyb9+7ZMuWhRw5UlRvzpwX2LPnBLff7mrYOfxEUsd9oUKFYnYDPmzYk9qAB4zxbPfsaYx+9OjRFKUUrVt/RI0aMSxf3i/kVzxy5CxFi+ZLy8ZoVDB69BJuvz2GRx+tE1Q9Pg2wKaUWA4ud9r1l+TwQSPt1NoE8eXLSu3dz7r67MgsX/s2kSasiIYYmDRg+/Clef/37VPvj4sb6vN7444/fQZ8+/6JIkbwMGPAITzxxBwUL5na5cEXWrFkcDLG1d1iqVCH756pVS3i8Zv78ubjnnqqAER3sTOPGVWjcuIpP8oeL9KzjTz1Vjxkz1lG3bjny5s3JpEld7UZI4zuuVgi0rd4XriC3u+8eRr165VmwQKc2tvLhhz8Dvk0T9URUZmJzRf36FXj77SfYsEEn+s8IDB/+lMP2E0/cyVNPpQy7fvml+zwiM2f+F0hZ4KRNmzuZM+cFpkzpzqefdqFo0XyICP/730N2160m7bnjjvKMHPlvihTJ57HcXXdV5scfX+LHH18C4LHH6tqPLVv2alhlzOgkJKQEttnWLw81mzenTm2sCQ3pJsQ1VJQpUySo87Nnz0pCQhLt299Fq1Z16NRpUogk0/hDvnyOLreKFYtRoEBupk59lmefnUr9+hVdnnf//bfStGl1fv75VUqVKkhCQhJFiuR1cFlr0gdVqtxClSruk7hYadDA8fdev/5N8uTJ4bB0rMYzO3bEOayo1qfPN4wYkdJQHjToez75pLPDOUop3n13MZ06NaJs2eDerZrQk2F64KFi//53mTSpK2PGtOP++29j1apUWSU1ISQ21nWUsXWxEoDERMPV16JFLeLixrqdgmQbw65ZszRFi+ajZMmC2nhnQMqWLZLKeLdsWStC0kQHAwfOcchiOWvWRi5fjrdvX7kSn+qc3btPMG7ccv7zn2l+X885BbYm9GRIA3748Psu9/uyLGi2bFl57LG6dkNQtWoJ4uLGBj1WoXFNcrJix47hvPdeO4f9TZpUYcCAR3j55YeB1D1yEeHllx9myRJj7LtiRe0Kz+xUr14q6DqCWYo4GrFOU1y+fAfx8Qlc/3/27js6iuoL4Pj3hho6GEBCQEC6gChIEQRRlCYgKkVB7IiChaqiFFERRQUL/hRFQcGC2GgKoiLSpQjSmwIhSG8SWpL3+2N2N9t3k2zKbu7nnJyzM/Nm5maTmTvz5r03Zy9wyy0T+OKLlRw7dgaACxdc+5CfO3eR2bP/9Lvt5GRtNOxs375jHD9+JqTbjMgEni9fnsCFcrC77mqS3SFkiVdf7UrevHkoUaKQoyq1Vq1yLFgwmLJli/PEEzcxYMDNvPjibTz88PUe6w8e3JYrr6wIpPZYyGXnX+WkZcvqGd5G2bLBjT8xYcKdAHTtmu4h6HOETz5Z6jK9dOkO1q7dw9q1exg48AvuuGMigON9EXZVqgzl4Yen8vbbC31u295ADqyEn9s1bvwC113n+Q75jIjIBA5WVfiOHWMpWTL8+jZ26FAvu0MIieuvr+l3+Q031HZ8bty4Cv/7X2/mzHnS0R0LrKr0+++/LmA1eKCX8qjINXBgG26/vUFQNWz23gC+BFPtGxNTxNGi29ddprcLzvQIdAxllPuLoe6++wP27TvmUc75+LrsstSGg598sozVq/9hzx5r6OsLF5Ic36FzAq9VK/X1r6dOnSU2dgBPPx38GB7hLCUlxfH92Ws0QiViE3h0dH4KFy7A2LF3hGyb7s9l06JAAdcE9NprqVXGDRpUclkWbtV4zZtXc/lubrrJ6m41bdpDjnkffXR/wO107nwV0dGe3azSIty+O5Vxgwe35e23e7mMFeFLyZKF+PHH1LebNWhwmcvyqlU9uwReeWUFjxfKdOx4FT16NGbkyM4e5XfvftXr/LS65JIitGiR8VqFtBo48AuPedu3H3R8dm65vn//cTp1epOmTV8iNnYAlSoNoUKFwSQmXqBHj/cc5c6fTyIpKZmdOw853uX+ySfLMvG3yDni4ga5vFHv7rtD1zA6YhN4ZrBXzafn7VB//z3OZdq5mnz27Cdclnk7iWSGUI1F3bBhZZfue8OHdyIhYbzL87UbbqgVkn35ct111bnppit4/vlbAxdWEalBg8t44YUuXgfESe3nL9Srlzpq7PTpDzs+L1v2rKM//pNP3sSgQVb7i1atarF16xj++MPRLZ4CBfLyxhs9KF26KK1bp9YkQfrOD94MGtQmXTcNt956dUj27y42dgB9+34SsJwxhpdfnsOaNf+4zK9YcTAtWrhWIZ86dZbNmxN4/PHpjrvT5OQUx7jt588ncejQKdat28Pff/seW//8+aQcWQvnbfjan3/O8CCGDrkqgWf0D2wfTejrr/uFIhyvEhLGExdXkgULBjNuXDePZe4XAs6io/Onqfq9dOnQvDAmb94olxON8/dsf6borV2Ce61ERkRH52fq1AepXNn/+NsqcokIDzzQwnFhev/91zmW2at13WtoihVLvYitVCmG7t0bUaFCKe66q4lL2fz58/psWzNuXDe/7VZq1Lg07b8M1vkmPTVK7757N506XZWufQYya9a6oMpNnvx7UOVq1hxG69bjmDlzNXXqPEfXrhOpUGEQFSsOZu3aPXTtOpH69UfSocMEmjUbw7lzF1m8eBv9+n3K0aP/ATB79p9UrjyEVq1eYfbsP2nefAwzZqxi165DbN/+r8/n7wsXbuLJJz8H4PTpc2zaZA3/v3PnIYwxpKSkpKnKe8WKXRw4cIJff91C27avExs7gM6d3wp6/fTIVf1rQvViCPe+5iVLFg5568I6dcpTp055hgyZAcC8eVZra+ekN3v2E9SrV8HxTOqee5pRvXpZ5s7d4ChTs2Y5tm49gDdVqpRh585D6Y6xfft6VK4cQ9++rTh79oJjvvNzxF9+Gcrp0+c8TkSTJt2jfXhVpqhfvyLLlu2kd+9r+egjK5HYX8saKB+WL1+SlSvdB4NyvfB3/18uW7Y4r73Wnb/+iqdbt2s8tvnrr08B0LfvJ34T4MMPX0+fPi1p0OB5wBqAyB5/Wk2c2CvoZJuTLF260/H5llsmeCyvUmWo4/O3366lYcNKrF79D2BV8z/8sDVCnz0xB2PGjOCH5i1UKD+Jida57s037+KnnzZRt24cixZtZfnyXUFvJ1Qi/g7c3n8YvA8lmBb249bfnbzz82zPE0H61a9f0WNehQqlXO4KoqPz0b17Iz77LLVasE+floB10nG+S1i7dlSGYypQIC/PPtuRQoXyu3y3RYoUdHwuWbIwFSteAkD//jc65juPpqVUKD39dHsWLBhM9eqpd772xmbezgFPPnkT48ff6THfnqiDrbibP3+Q4wUhYI0O6fzoqHTp1AtW51EFnTkP0Zs3b55030lnpL1OOLEn76xiT94ATzzxGXPmrOfll+dmS/KGXJDAk5NTG1xkPIGnrv/kkzd7LdOmTR2n8rB+/WiWLBnmUuapp9oHvc9Jk+5h/vxBfuO5++6mAJQoUQgRcWm5aj+Qu3ZtyNVXpzbYca46TC/n78P5hFG+fEmv5QcNapvhfSoVSN68eRw9GX75ZSjNmlXl6qutC2Dn/9nq1a22JkOHtqd790Ye27E/y07vQECzZj3BtGl9HNPduzd2fG7RooZHeXvNVbdujejVyzqm7W9k86ZHj8Y+l6ncIeKr0J3vwGvWzNhAD5UqxXD48Gny5Imib9/r2bgxnoULN7uUca1dE0qXLurxrPmJJ24Kep/+7lTtFyQFClgnGm81A506XcWqVbt5+ukOLFiwyTE/X748Ge4z7fxijmCu+DN6AaVUWtWsWY6vvupHfPxxAHr2tGqhVq8eSbFiBf2tyn33NefkyUT69r0eyHgbmjp1ypOQMJ6TJ89SvHg0TzzxmctyezW/vY+53cCBbbjuump06fKOy/x8+fwfc0WLFnQZaU1Fnoi/A2/VqiZFihTgpZdu59FHb8jQtj7++AE++uh+LrmkCMWKRTuq3ZwToXNXllA1EgvEXyIuUCAv48Z155JLinDDDal35nnzRmW4y9WwYbc4PgeTnDWBq+wSF1eShITxNG1qtTKPjS3h8qjHm4IF8/H00x0cXRtLliyMiPDss7f4XS8QeyO7225rwG23pValP/KI9/PT4MFtadz4co/5gR5DbdsW2kFDvFmzZqRjNER/Vq0awTvv9GLgwDZMnOg63vr+/W+wffvLTJ/ex2V+1aplHF1SAaZMeQCAunXjvNaY2L300u3s2/c6Gze+yDvv9GLv3tdYuXI4115blbp149i//w22bh3jsV5CwnhmzHiUZcueZfjwTo75vXtf6/hcuXIMzZpVZcuWMdx2WwOWLh3GokVP8cgjrXjwwRYe2wzE30A4wYj4O/CyZYuzffvYkGyrVKnCtG3rOd6yMdYz6j//3EulSqlDegZqZT1oUBuPgRTSwp6A+/W7kV27DtOtm+9/arC+C/d1M6JEiUKOz3oHriJd/vx52b//jZBt7513egHWcXHJJUWIjS3ht/zKlcNp3PgFx3SjRlV48smbmDDhJ8c895eRZLZy5UpQrlwJtm17mZdfnkvevFF8+OFij3JxcSWJi0u9WOnX71Natarp6MZXpEhBWrWqxY8/DuTQoVMur+515jyk9Rtv9OCzz1Zw111NOHfuIomJF0hKSnac50qVKuy4QKpQoRQzZ6b2HipWLJqEhPHs3n2YLVsSOHPmPJA60M8jj7TikUdaOcqPHdvVIxb73w9wJPzbbmvA5s0J7Nt3jDff/MljHXfjxv3AY4+1DljOl4hP4FnFfredlmq2QYPaOp4Lr1jxXJq7VdlzcJkyxVyetQF8803/LH2JRzAJXAdZUcrTW2/1DKpchQql+PvvcVSuPASwEv/Qoe1dEri/Y2zWrCdYv34vw4d/m7GAvShatKDjzWZDh7bjyJH/uPbal3yW3779ZcejP2fOffQDERF69rTaCkRH50/XIFBVqpSmSpXQdT2tX7+io8HxU0+1Z8qUJQwb9rXP8hntuh7xVeiZqWhRqwruqafaZTg5Vax4icsdcjD87bNJk8tdGq3ZObdyzYjRo7u4TKfl7lrvxJVKH+eLfG+Hv/u8atVSB4Vq2LASLVtmbGjWYF7qVKRIQSpVinG8AtZbzUKRIgXD/p0VwQj0XouMtqvQBJ4B+fPnJSFhPL17N3PMy8rBgNKTCOfPH+gylKQvGze+6He5+/OeYC9ghg/vxIIFgwMXVEqlmftxaB8/wi7Q+9fda/KcPfNMBwAWLBhMXFxJnnuuo99ttWxptbR//PH0VxGHu/z587Jhw2ifo17aGy6ml1ahh0iwN+BNmng2Rkmv9CTwmJiixMRY1f3+Yi5VyvUlMNdcU9nrsIBp5fxcSSmVfsFcNNtHj3TWq1dTpk1b7rW8ryGPFy9+xpH869Qpz6pVI7yWc9a3bysKFsyXa96u6EtMTFEefLBFhto7+aJ34CGSejD5vqKKj389JMOw2q+EA7WiDcQec7t2dalfv6LfccRHjQr8coaWLWt4tDBVSmUOb/k7mIv6xo2rANZIb85V4vZuoZs3v8TkyfcB8MEH97JmzciAd+7eFCqUn0cfvSGol8xEusyqmdU78BBJHaXNd5lQDeX62GOtM9Ry0c4ec5cuVzu6pIwc+V26t/f5530zHJNSKjjpbXfTtm1dbryxluNGwM4+OmOJEoVo165eUM+7VXDsz7pvu60B33yzJmTb1TvwEDPG8NFH9/Pmm3dldyhB83XR4dwlRRueKZWz2BO4c1/yYKvVP/20j+OdDps3v8TPPw8JyeiMyjv76JjO/dpDQRN4iNx8szWEavXql9K2bV26dvV8qUFOE+hgv/XWqx1DUjqXfe+93pkal1IqeO+804t27TzHp7Br3rwaFSqU8rm8RIlC1KoVmxmhKZtrrqlMQsJ4OnUK7TsgNIGHSPfujdixY6xLt41wkdauDJn1qkKlVPrYzzvujU8BZsx4NKQvVlLpJyIZHhHUmT4DDyFvLT5zMns/9nz5Uv8NVq0aztmzqe/PveKK8mzcuN9nNwilVNa6/PIy7Nrl+hrgJ5+8mcaNq4S0l4vK+TSB52KjRt1KpUoxtGmT+lzG/V3nL798B3fe2ZjLLotxX10plQ2+/bY/27cfdJlXsGA+WrXy3gVM5SzOTy4z+r4MrULPxYoWLchjj7X22zq+YMF8NGpUJQujUkr5ExNTlGuvrZrdYah06t8/tQfR4cOnM7StoBK4iLQVkW0islNEnvayvICIfGlbvlJEKmUoKqVUltJjXKmsUbx4NE2bhuZRR8AELiJ5gIlAO6A2cKeI1HYr9gBw3BhTFRgPvBKS6JRSmU6PcaWylvOrmDMimDvwRsBOY8xuY8wF4AvAfViuzsBU2+eZwI2ir55SKlzoMa5UFmrQoFJIthNMAi8P7HOajrfN81rGGJMEnAQucd+QiPQRkdUisvrw4cPpi1hlm4ED21C9evh1k1MB6TGuVBa77rrqGe41kKWt0I0xk4BJACJyWET2BLFaDHAkUwMLnXCKFdIZr8gzmRBKQOH03WZ1rJ7vjc0m6TjGw+nvCuEVbzjFCuEVb8hiFXksmGJej/FgEvh+wPkt63G2ed7KxItIXqA4cNTfRo0xQb1FXURWG2MaBlM2u4VTrBBe8WqsmSrbjvFw+67CKd5wihXCK96cEmswVeh/ANVEpLKI5Ad6ALPcyswC7rF9vgP4xWT0TeVKqayix7hSYSjgHbgxJklE+gPzgTzAR8aYTSIyGlhtjJkFTAY+FZGdwDGsE4BSKgzoMa5UeArqGbgxZh4wz23eCKfP54CuoQ3NYVImbTczhFOsEF7xaqyZKBuP8XD7rsIp3nCKFcIr3hwRq2gtmFJKKRV+dChVpZRSKgxpAldKKaXCkCZwpZRSKgxpAldKKaXCkCZwpZRSKgxpAldKKaXCkCZwpZRSKgxpAldKKaXCkCZwpZRSKgxpAldKKaXCkCZwpZRSKgxpAldeicgUEXnRz/L/RKSK7XO0iMwWkZMi8lU697dIRB5Mb7wZld37VypSiUhZEVksIqdF5PXsjieSREQCF5F/ROSsLakctCWfIrZli0TkQRHpaVv+n61sitP0f7ayjURknoicEJFjIrJKRO6zLbteROK97NvniV9E8ovI6yISb9vPPyIywS3u1m7r3CsiS7yVsS1Ldo5bRN5xm05x+i7+E5GeofiO3Rljihhjdtsm7wDKApcYY7oGSv65jYi8KiL7ROSUiOwRkWHZHZPyT0Sai8gy20XpMRFZKiLX2JY5H4enRORPEbnFtux693OL7aepbfkiETnntmy2j3XjRWSGfb9+Yn1ARLbaEuRB2zmsqG2Zx7EoIpVExIhIXvcyTsuc41svIj84TV8UkQtO0+8F+Dr7AEeAYsaYQWn+Y6TGrecVNxGRwG06GmOKAFcDDYHnnBcaY6bbkk4RoB2QYJ82xhSxHWC/AL8BVYFLgEdsZdPrGVssjYCiwPXA2gxsD2C5c9zGmP7O08BebN+F7Wd6BvcXjMuA7caYpCzYVziaDNQ0xhQDrgV6isht2RyT8kFEigFzgLeBUkB54HngvFOx5bbjrQTW33eGiJS0LUtwO0aLGGOWO63b321ZR6dlCbbtFgWaAFuB30XkRh+xtgTGAHcaY4oCtYAvM/gVAJRwiu9KY0w7p3PMdOBVp+V9A2zrMmCzyeZXX9ovWCJJJCVwAIwx+4EfgDppXHUcMNUY84ox5oixrDHGdMtAONcA3xpjEmzb+8cY80kGthdSYhkvIodsdxJ/iYjz91ZSRObaruxXisjlTusaEakqIs8DI4Dutqvxh4GewFDnuwsv+77JdtdwUkTeAcRpWZSIPGe7Wz0kIp+ISHHbsqkiMsj2ubwtjn626cttd0tRtruZeBEZZNvGAbHVpvhxuVi1LqdE5HsRKWXb7lwRecwt/g0i0iWY79kYs80Yc8ZpVgrWRaLKmaoDGGM+N8YkG2POGmMWGGM2uBc0xqQAHwHRwOXuy9PLdr6It72T/UPgFR9Fr8G6mFhnW++YMWaqMeZ0qGLJCBGZAtxD6vmgtVg1ncvFquk8IFYtYn5bea/nJBHpg5fziojEisjXInJYRP4Wkced9j1KRGaKyDRThPViAAAgAElEQVQROQXcm+VfQCaLuAQuIhWA9sC6NKxTCGgKzAxxOCuAgSLyqIjUFREJuEaIici7IvKuj8U3Ay2wTljFgW7AUaflPbDuPEoCO4GX3DdgjBmJdQfwpe1q/H1cr9A7uq8jIjHAN1i1JDHALqCZU5F7bT+tgCpAEeAd27LfsGoyAFoCu22/g336d9tJFeBS2+9VHngAmOh0l+RNb+B+oByQBLxlmz8V6OUU/5W2bc71sy0XIvK0WI9q4oHCwGfBrquy3HYg2Xax2M7f/4ztru5B4D9gRybF8w1wtYgU9rJsJdBGRJ4XkWYiUiCTYvBJRO4SEY+LGwBjzL24ng8WAsnAAKxjvylwI/CobRWv5yRjzCS37XQUkShgNrAe63i8EXhSRNo4hdAZ67xewrZ+RImkBP6diJwAlmCd5MekYd2SWN/FgQDlYm1XjY4foLmf8i9jXTn3BFYD+0XkHm9xO23PV7K1a+IWQxN/hY0xjxpjHvWx+CJWVV1NQIwxW4wxzt/Bt8aYVbaq8elA/QCxBas9sMkYM9MYcxGYAPzrtLwn8IYxZrcx5j+sRxE9bCfL34DmtoO3BfAqqcm/pW258+832hhz0RgzD+skW8NPXJ8aYzba7paHA91EJA8wC6guItVs5e7GumC5EOwvbIwZi/VdXw18CpwMdl2VtYwxp7COawN8ABwWkVkiUtapWBPb8fovcCfQxRhj/5t6nCfcku9bbsteCBBSAlYNVQkvsf4O3Ib1fzUXOCoib9j+b+0Gu51jvCZbN0ec1hnsr6Ax5jNjTL0gtmkvv8YYs8IYk2SM+Qd4H+vYhcDnJGfXAKWNMaONMRdsbXI+wLrxsFtujPnOGJNijDkbbIzhIpIS+K3GmBLGmMtsSSstf6zjWNWa5QKUS7Dtw/GDdcHgla36baIxphnWwfcS8JGI1PISt317vpKt3Qq3GFYE/vV8xvcL1p3tROCQiEwS6/mfnXNSTcS6Ew6FWGCfUxzGedq2fI/T9B4gL1DWGLMLOIN1MXEd1rPKBBGpgWcCP+r2XD7Q7+Acwx4gHxBjjDmH9Vyxl+3C4U6sJOxBRN6T1MY9Lo3VbNWi64CzWDUbKoeyJY57jTFxWI/jYrEuNO3sx2GMMaaJ7c7SzuM84fYI5XG3ZcMDhFMe62LihI9Yf7DVdJXCuuO8F6tWwO41t3NMMMk2xmmd14IoHzQRqS4ic0TkX1vV9hisu/FgzknOLsPtYgkYhtWg1m6f91UjQyQl8HQzxiQCy4HbM3EfZ40xE7EuFmpn1n7SyhjzljGmAVZM1YEhodhsgOUHgAr2CdujhQpOyxOwDk67ilhV2gdt079htXzPb6w2D79hPWcrCfyZgbidY6iIdTdwxDY9Fatm4EYg0bg2SnIwxvQ1qY17fNUC5SWEz0tV5jLGbAWmkPZ2NaHSBVjrdhHgwXaX+TNWY9zsijUY/8NqnFfNWA07h+HUBsbPOcn9vLIP+NvtYqioMaa9U5lsbTiX2TSBpxoK3CsiQ0TkErCedYrIF+ndoIg8KVZjqmgRyWurPi9KGp7PZyYRuUZEGotIPqy72nNYNREZdRDr2bUvc4ErROQ2W7X441jPq+0+BwaISGWxugPan7Hb76Z/A/oDi23Ti2zTS4wxyRmIu5eI1La1iRgNzLRvz5awU4DX8XH37Y1YDeoeFpGStgY6jYB+wM8ZiFNlIhGpKVbjxzjbdAWsWpd013alIwYRq5HmSKy7aa9dD0Wks4j0cPv/apmVsaZDUeAU8J+I1MTq7QMEPCe5n1dWAadF5CnbOTaPWA3e/Ha7iySawG2MMcuAG2w/u0XkGDAJmJeBzSZinfD/xbqT6wfcblL7T2c6W5Wur36axbCeGR3HqjI+itUaP6MmA7Vt1VrfuS80xhwBugJjbfusBix1KvIRVpJcDPyNdRA7twL/DeskYE/gS4BCTtPp9SnWnda/QEGsCwtnnwB1gWlp3G4XrIZ6p23rvm37UTnTaaAxsFJEzmAlw41AsH2YY8WzH7hz7Z772A1r3NfFaq/xB9b/2/XGmAU+9nUceAirAd0prP+vcSZruo8CINYYG5vSsMpg4C6s7/kDXLu9+TsnuZxXbBfXt2A9Tvsb6xz7IVbjt1xBTPZ2zVMqbIhIb6CPMcZfw0WllMoSegeuVBBs1eqPYtXKKKVUttMErlQAYvUrPYz1DE77byulcoSACVxEPhJrVJyNPpaLiLwlIjvFGp3q6tCHqVT2McbMN8YUNsZ0NhE4XKwe40qFp2DuwKcAbf0sb4fVCKka1qD1/8t4WEqpLDQFPcaVCjsBB3c3xiwWkUp+inQGPrENxrFCREqISDk/o+cAEBMTYypV8rdZpVQw1qxZc8QYUzq96+sxrlTO5usYD8XbWcrjOtpNvG2ex8Et1oD0fQAqVqzI6tWrQ7B7pXI3EdkTuFSG6DGuVDbydYxnaSM2Y8wkY0xDY0zD0qXTfcOglMqh9BhXKuuEIoHvx3UIyjjbPKVUZNBjXKkcKBQJfBbQ29ZStQlwMtCzMaVUWNFjXKkcKOAzcBH5HOv9yzEiEg+MxHpLE8aY97CGGm2P9b7oROC+zApWKRV6eowrFZ6CaYV+Z4DlBmuMb6VUGNJjXKnwpCOxKaWUUmFIE7hSSikVhjSBK6WUUmFIE7hSSikVhjSBK6WUUmFIE7hSSikVhjSBK6VUNomPP8bWrTomjkqfULzMRCmlVDo0avQCAAkJ47M5EhWO9A5cKaWy0MWLyfzww19Y4+MolX6awJVSKgu9/vqPPPDAR/z227bsDkWFOU3gSimVhfbsOQrAsWNnsjkSFe40gYeBNm1ep0eP/2V3GEqpELDXnItI9gaiwp4m8DDw11/xLF68HYATJxJJTLyQzREppYL14YeLqVVrGGAdv/Zn35q/VUZpAs+BtmxJ4O23F3pdVrv2s9So8Qz//Xcui6NSSqXHiBHfcvLkWRYt2krt2s8ye/af2R2SihCawHOgDh0m8PLLc0lJSfG6PDk5hQ4dJmRxVEqpjLjrrvddpufP35hNkahIoQncZtKkRbz33q/ZHQYA585dBFKflXmzY8fBLIpGqfCSmHieo0f/y+4wAipbtlh2h6DCXK5O4Hv2HGHduj0AjBr1PaNHz8rmiFxpP1Gl0mb58p1Urfo0desOz7YYLl5M5sKFpIDlSpUq7Ph8/nzg8kq5yzUJ3FvDr6ZNX6JDhwnUrPmMY15OunI3Br75Zk261p0+fTnPPDMzxBEplbMYYxg7di67dh0C4PbbJzqWHT9+hnPnLjJ37np27z7M4cOnsySmyy4bTKVKQwKWmzJlqeOztmlR6ZErEviqVbupWvUpFi3aClgtQZcs2eFYfupU6sGTnVfu7lJSDP37T3NMb9/+r8tyY4zPu/QhQ2YwdepSdu8+nKkxKpWd9u8/wVtvLeTuuz8gKSnZZVmXLm9TpcpQHnpoCs2bj+Hqq0elax/jxv1AbOwAYmMHuMxfunQHe/YcAeDXX7dw6NCpNG33339POj6fOnWWBQs2cvLk2XTFqHKnXDEW+ooVuwCYPHkx119fk9q1n820fdnv9AsVyh+wbHJyCgcOnCAurpTX5e6N2K6//hWX6Tp1niN//rysW/e8z300bz5Gx1lWEeviRavq2RjDc89947Js+3bXdiLJyd4bhfqyceN+atUqx/jxC1zmp6SkEBc3yDGdkDCenj0nUbFiKVasSL0BOHr0v6BvCJo1G+P4vGvXK0RHBz5/KJUr7sDffNPqkvXzz1s8rqK9OXXqrONq2leV+s6dh4iNHcCyZTv588+9GGNITDxP1apPOfp8enPiRCLTpy8H4NVXf6BRoxfYu/eo17LffrvWb5zHjydy8OApYmMH8Oqr8wL+XkpFipSUFObM+ZPTp63as/37j/PJJ8sCrrd4sTV86dy56/n5580+y23YsI+bb36NMWPmeCw7ccL7XfLevcdcasTatn0jYDze2Pf5449/sWHDvnRtQ+UOuSKBnz2btoFPatYcRv36I4mNHUDdusP5/vt1HmV++mkTAHfcMZH27cfz+uvzqVr1acBqxAIQH3+c8eMXuBzUgwZ9wZAhM/jtt22OKv277/7Aa5exwYO/DDrmCRN+0oYwKteYOnUZffpMdSTJpKTg7q579HgPgIcemsLdd3/AuXMXWblyl0e511+fD8D//ufaM2XgwC+4554PXeY5t68pX36g43OXLlcHFZO7yZN/B+D++z9K00VAYuIFbrzxVdas+Sdd+41Ex46d4e+/I/cxYq5I4Bn1yy/Wlboxhi+/XEVi4nmP520zZqzyWK9Ro9GMG/cD69fvo3btZ+nZ831++OEvAO688z3++isesLqExcUNomfP971eLASrcuXADWeUCndJScke7UHSonfvDxyfH3roY7p0eYclS3aQkHCChQs3sWHDPscFursvvljpkSCrVn3Ka9nvvvNfg+bPuHE/+F2+d+9R6tR5zuU8tHlzAlu2HGDUqO/Svd9IkJycwpkz5wG4/vqxLo8nIk1EPQOPjz/m8jx50qRFjBr1fYa3+9VXq3nzzZ6sXLmbAQM+Z8WKXY7ka+fv+Vr79tYz6F9/3ep3P7/+ujVgmWA4N9BTKpx9//06+vX7lB07xhIdnZ+UlBQqVhycoW0uXJhadf7zz1sA6Nbt3Qxt05v4+OPpXtf9ubvdsGFfExNThNde+xGAESO+Y8yY2wHInz8PAGvW7En3fiPB8OHfMmXKEvbseY0jR3JOr6LMEDEJ/NNPl/HUU18BOBpthSJ52y1atNXR1ePLLz3vtg8cOOkxL7tkxslIqewwZswcUlIMl1/+FFu2jOGTT5YGXimCTZmyxGU6NraE43NUlFaoglVLAqmPMiNZxCRwe/IGq0p6375jId2++zCIgQQzkINSyr+UlNT2I/4ah0YyYwwbNuyjXTvP3iTVq5d1lHn22a8d86dNW0bTplW5/PIyAbefkpISkck/NwyEFdRfTUTaisg2EdkpIk97WX6viBwWkT9tPw+GIriDB08G7Ppx4kQi99//kcu8li3H0qvXpFCEkG7BDOSgVE6RXce4P926vcv+/emvho4U5csP9Jq8AaKihB07DlK+/ED++ONvx/yhQ7/iuuteZv36vR7r7Nhx0NHgdfnyncTFDXJZN9zZE7fzo5JIFTCBi0geYCLQDqgN3Ckitb0U/dIYU9/286GX5Wly8OBJrrpqFMOHf+uzQYkxhtq1n+XHH//K6O6UyrWy6xi3++GHvxwDotgZY7QtRxB69/6Qli3H+ly+b98xjhw5TevW47jnng/Zt+8YLVuOZehQq4eLfeS6++6bnCXxZqVHHvkku0PIdMFUoTcCdhpjdgOIyBdAZyBTL28OH7YaH0yZssTjuY/yTU96Kh2y5RifO3c9Dz00JTN3kev16TOVO+5oyObNCWzenOC4Gfrmm7VMmHCXo1yXLleTkpLCp58uZ9Om/Tz3XEeKFYvOrrDTpXXrcWzenOBozOfMGINE4AvYg6lCLw84jyYQb5vn7nYR2SAiM0WkgrcNiUgfEVktIqsPH47cvnnZSRuwqXTIlmNck3fWmDlztce85OQUlz7rkyf/zuWXP8Uzz8xk2rTl1Kw5jO3b/+W++yazatVuYmMH8NlnK9ix4yCJiec5fvyMY93ExAu89NJsjDHMmLGK5s39d9s6e/aCY8jYHTsOsnz5zgz/jlu3HmDz5gSfy53bUkSSUDVimw18bow5LyIPA1OBG9wLGWMmAZMAGjZs6Pcb9fUubJV2Gzbso149r+dbjDGsXLmbxo2rROQVqgqZkB/jKmdxHwjKPnSz/b3lgQaWmjjxF8fnvn0/YdYsa0yL557ryNKlO/j1162sWjWCRo1GA7Bjx1hH9b+IsHbtSB56aAqrV//Dww9fD1jP+Dt3vooaNcrRpcvbfP55X4oXt2oGfI2qeeGCZ+vzpKQU8uSJvIZ6Eqilnog0BUYZY9rYpp8BMMa87KN8HuCYMaa4v+02bNjQrF7teWVot3Llbrp0eRuAyZPvp3z5El6T0Pbt/3qMEa48+RoPffr05QwZMoP33utNp05XZXFUKhREZI0xpmEG1s+WY/zgwZO8/PI8rruuGp06XUW+fK5Vn8EMe6xUMHbuHEuhQgWyO4x083WMB3MH/gdQTUQqA/uBHsBdzgVEpJwx5oBtshOwJYPxUqxYQQDKlClKu3Z1fZarXv3SjO4qV9uxw3rhQ0LCiWyORGWjbDnGy5YtzoQJd/pcXq9eHBs2xPtcrlSwgh1qN9wErFMwxiQB/YH5WAftDGPMJhEZLSKdbMUeF5FNIrIeeBy4N6OB1aoVy5w5T7q83SeQyy67JKO7zXXsgx243/2o3CO7jvFABg5s4/j80ku3Z/buVARL65vowkVQDwWMMfOMMdWNMZcbY16yzRthjJll+/yMMeYKY8yVxphWxpiMjwcKXH31ZRQsmC9guZiYIgAsX/4cP/2UsWEWI5WvNgWawBVk3zHuzw031HJ8vu++5pm9O+XF4sXPBFVu6tTUYQF69Wqapn3cdNMVXudfcYVrO8pnnumQpu06i9QEHhEjsf3yy1AOHrRe/+n+R7d75ZWuLqO15TZxcYPo06clI0d2dmmstnatNW7y0qU76d27WXaFp5SHvHldLyq7dm1I7drlueGGWn77PqvAFi4cQq9ek/j3X9choN9//x6OHTvDm2/+xEMPtaRq1TIsX/4sTZu+RLNmVZkx41HKlx9IlSqlWbLEdWS8jRtfBKBUqcK8+mq3gDEkJp6nYMF8REVFce7cRf799ySVKsXQvfv/WLPmH683Y4891hqwRrpctmwnTZpczqRJi7hwIZkjR077fKVspCbwgI3YMkugBi4Z0a3buyxZsoOVK4ezYMFGFizYxGefPUyFCoMyZX/hZO/e11xOjPaGQiVLFmbTJusAPHr0P86fT3IZZ1nlXBltxJZZQnGMHzp0ChGhdOmiHss++OA3Ro7MvDdvDRhws8tLRUaPvpURIzL3TV9lyhTl0KHTGd7OyJGdef751HdBLFr0FHFxpYiOzkdi4gUKFy7AoUOnqF9/JABff92Ppk2rZni/2enMmfNUq+YxiCAAq1ePDOvzma9jPPLa1QMzZjxKQsJ4KlQoxQMPtODLLx/Jti4EJUoUypb9+nLy5FmSkpKJjR3Am2/+5JhfsKBVGbN48Tbq1h1Ow4bPZ1eISjmUKVPMa/IGaN68Wsj3161bI8fnIUPauSx74IEWId+fu1WrRmR4Gx98cC8PP3w9CQnjef75W/n8875Ur34phQrlR0QoXNhqjV2mTDHHOr66mYaTQoXy+1wWqd2SIzKBZ4UrrwzuH/7zzx/2On/AgJtDGU7QevWaxEsvzQHglVfmOeYfOHCSTz9dRo8e7znmnT17gfj446xcuSvL41QqkHz5Up8Adux4Zbq38/jjrenc+So6dqzPsGG+n7NmxTgJ+fOn76lmo0aVHZ87dEj9Lh56qCUtW9YIuH4k9JEWERISxrNz51jKlXO9247UgVzC/6+WRdwb0/3ww0AfJVM9+GAL6taNo3v3Rh7LnnjiJp/rzZzZL+0BBmn9+n28//4ir8vc2wgYY2jS5AW6dHkn0+JRKr3y5k09fb3//r1pXv/uu63GVoUK5ed//+vN++/f45HI6tev6DK9f/8bFC1aMO3BpsFvvz3tEkeTJpdTrpzfLvd8993jvP12z3Q39CpQICKaQwFQqFABBg1q4zLv22/XZlM0mStXJXBfrR19cT5Q1617nvXrR3st9+uvQ/nxx4GULFnYZf7o0V2Iiopi/HjPvq758+dl//43+Prrfuzc+Qo//5z69rJrr63Kvn2vM3nyfX77wGe25GQTsVeuKvxFRaXvjth+J120aLTLNKReqLdqVROAkSOtXnS1a8c6yv7yy1Cf2y5TpigNGlRKV1x21aqVZd26UdSvX5EHH2zBtGkPUaNGOZ/l7Y/pbr+9oaORV7BKlrTWjbRRGN2rzF999YdsiiRz5aoEPnnyfezYkdp6tW/fVnTsWJ9Fi55yXM3373+jY7lzK8jixaM9nsXZ/+lr1ChHvXoV+OOP4axbNyroeESEpk2rUqhQfmrVinVZlidPFO3a1UvzRUco2Vv2+3L27AViYwcwbNjXfsuptNux4yCzZq0jKclzWEhlsSdw98ZJ5cuXBGDlyuHs2/c6CQnjHXfbAE8/3R6wujuVLl2ULl0aOJYVLlyAefMG8P779wCpvVoGDWrrsv3bbktdx9n8+YO4cCHJ67JAFixIPd/ExBRl3rwBjB7dJeAIYr5uLILx889D+eqrR9O9fk7lPnBLpL4bPFcl8Lx581C4cAFuv70BH354HyNGdOL99++hevVL2bv3ddavH82wYbfQsWN9AEdjD2f2K3GAVauGM2fOk47pQoUKULZscRo3rpKu+LZsGeNoCW7n3s0jK7Vo4TqS5vPPf09s7ACGDp3B4cOnWbHCejaub4sLvb59p9K37ydex3VWlqgo6/TlfnK2v0M8JSV1/OtXXknt1vTYY61JSBhPpUoxrF8/mri4ki7r169fkSJFrNq3IkUKkpAw3qMm7JVXujo+P/po6pDwZcsWZ/v2f9P1+9Sp470LLPhPQBkZw+HSS4vTrFnoGwNmtzvuyHGdMjJF5Dz4SIO33+7ldb79Dnv8+Dvp1+8GLrmkiEeZ+fMHOQ6m8uVLOq72nU2f3od///V+91q8eDRvvnmXz2Xufv99u/dfIov17v0BCxdab5ecNm05O3ce4pFHWjmWT5u2jF69rs2u8CKK8xjg9oF2lKfoaKu6u1q1sl6X//PPUS67LMYxHR//OsnJobkTc764r1cvzmWZ+0tBMlMwA13lRvYLr0gfTz9X3YEHq1Ch/D67VeTJE+UxwITn+gWoUqW012Vbtozh5pvrBB2Le9/Md97xfvGR2ezJ227Fil1MmJDaR3bo0OAGyUlMvODyKkKVKjHxgscAJZFa9RcKJUsWZsaMR5k06V7HvNata/Pss7cAeNSERUVFZcqIg6VKWRf69p4lH3/8AGA9sgtVg1T7/8Err3Tlgw/udcz/5pv+Idl+pHIejjcS5co78HByxRWpVfbXXVedW265kv79p2VjRKnWrdvrMr127R62bEmgfv2K9Oz5PgsXDiEmJrXdQFJSMjfe+Cp79hwlIWE8U6YsoVq1shFZhZcWxhj69JnC3LkbPJbltHEEchrnvuDOb9zr1+9Gb8UzLYbPPnvYEUubNnUcsRw4ENqXBFWoUIrrr6/pmHZvJa9cRVjbPA+awLNI69a1Pe5ig3HlldYB+vHHD9CmTfB37tnhllsmuEzPmbOe225rwNatB1i0aJvLHfvXX692NH77+echHo34cgtjDPHxx70m77TU1Kjs5ZxUnaW3X7e73r2bsXjxdmrV8t0aXeU+msADeOedXiF5pvXJJw+la73Y2BI+3+Wd07399s8+W6g/9th0x+cbbxzHmjUjKVu2GCIScV1a/Clf3vd4AvbGWCpn2rTpxYDdLEOVwNu3rxe254HsFOnnEk3gAfjqLqICS0v1YYMG1tCtVaqUpkaNS4mKEuLiStGnT0suXEjissti2LHjIKNHf88nnzyEiJCcnMKPP/5FjRrlKFu2WKYOsBEff5wCBfJSunRRjDH07z+Nxo2rcMcd1/gdwtGfQMM75s+vb4jLydzHffDGPYHrO86zVnrHCggXmsBVjrJ792F27z7smPY2alz58tagOfXqxfHbb9sc87dvf5kiRQryzTdrKFy4AHnyCDExRYmKEn77bRstWlTn+PFEJk78mbx581CpUgzFikVTp055Nm3aT6tWNWnUqAqbNiUQH3+MM2fO89hj04mKEq93Wt9+u5ann57p9/cZNKgNc+asZ9u2tHctKlBAWxiHO/tFWKNGlVm16m+ef74LXbq8nc1RqUihCTzMlShRiBMnErM7jCx3/PgZl+QNUL26/3cXv/zyXJdp9/Xfemuh1/UyMhrd66/PT/e6egce/kSEnTtfoUCBvCEdb/z77x/XBo5BuPHG2rz66g/ZOiBWZtJuZGEuVM94bryxVki2o0InUHdFFR4KFcofMHmXKhW4Ot7ZNddU9tn/XaWyD7wV7Munwo0m8DA3alTnkGzn00/7UKRI6uAUEyfeHZLtKqUCcx7RUYWO/f4mUsdT0Cr0MGZvlXr8+BlGjfo+w9vbtOkljDGcP59E0aIFmTjxZzZvTsjwdkOhdOmiHD58OmC5OnXKs3HjfsfFyH//nU/Tftq2rcvNN1/BwIFfAFajukcfvYHExAs8+KD/90Hv2HGQ/fuPe+1SlJKSwo4dB6le/VLWrt3D5Mm/8913kfmGJOXfu+/eTYkShZg/fyNTpy6lc+erqFQpJvCKKs3sNZSR+lImTeARIL1jr7uzj1Jlbzn79NPt6d37w5BsG6xBJ+6++1quu64apUsX49ix/xytz2+55UrmzFnvKLt372ucOnXOpWrx1lvfolGjKgwe3NYR465dhyhQIJ/HeNbObrllAm3a1KFfvxuIixvEm2/exR13NOT06XNER+cnKSmZlBTjMjxmjx6N0/z7VatW1me1ZlRUlOONUg0aVKJBg0qMG9eNhQs38847P7Np0/4070+Fp1tvvRqAY8fOMHXq0myOJrLZE3iE3oBrFXokuPLKio5Xlnbr5vnucWflyhWndevaQW23desriI9/3fEih4IF87Fr1yteyw4a1Ib9+9/w6Kvq/Ial7757jDvvbExcXCkKFMhLuXIlKFfOepPUpEn38s8/45g5sx/7979B3rx5PJ4Lfvfd4wwbdotL15zLLy/jN3mDVT352GOtiYqKIiFhPF27XoOIUKxYNPny5SE6Or/XF9dktsKFC9C581Uub71TSmWGyMzgegcehn777WlOnz7nMq9790Z063YN48b5f+/tgQMnWbNmlGM60GD/UZLk4z0AAByISURBVFFRTJ58P5s27ady5Riio/PzwgtdaNq0Kq1bjwNgz57XXMaYnjHjUUqXLkLJkoUpU6YYY8feQaVKMV4HtZgz5wlHF6v8+fNy7bVVPcrkJm3b1uXHH/8CIve5nbLYX8bi3PZEhV5UlETsHbgm8DDkq5pWRGjbti4TJvwU8n3a34sM8MAD1rPgn34azNmzFz1eEOE8PjVYw0D64nwXnps1b16NJUt20KpVTacEns1BqUzVpk0dhg27hXvv9X18qIwTkYi9GNYEHmHq1avA8OGdeOGFWZm+L+ekrjLm448fYO/eo9SsWY58+fI4GtGpyBUVFUX//ln30pXcSiRyL4Y1gUcgf13Do6PTN+ynylyFCxdwvNClbNli2RyNUpEjku/AtRFbBPL3v9q1a8OsC0QppbKZiHYjU2GucOECrF//vI6vHUYi9a5BqayU6+/ARaStiGwTkZ0i8rSX5QVE5Evb8pUiUinUgaqMKV48mkKFCoR0PGaVubLyVYh6jKtIZSXw7I4icwQ8m4tIHmAi0A6oDdwpIu4diR8AjhtjqgLjAe+dhVWW8Hbej9R/4EiU1X8rPcZVpIvUO/BgqtAbATuNMbsBROQLoDOw2alMZ2CU7fNM4B0REROp35pSmahixUsAaNXKc0jWTKLHuIpYIsKsWevYsGFfdofioUaNcowZc3u61w8mgZcHnH/zeMB9nElHGWNMkoicBC4BjjgXEpE+QB+AihUrpjNklT56ng0XVauWYd26UZQpk2Wt0fUYVxGrd+9rc2TyDoUsbcRmjJkETAIQkcMisieI1WJwO0nkYDk21gMHQOR599mOeEUmZHlMaZRjv1svsjrWy7JwX36l4xgPp78rhFe84RQrhFe8IYv15ZeDKub1GA8mge8HnF+mGmeb561MvIjkBYoDR/1t1BhTOoh9IyKrjTFh0fcpnGKF8IpXY81U2XaMh9t3FU7xhlOsEF7x5pRYg2mS/AdQTUQqi0h+oAfgPszXLOAe2+c7gF/02ZhSYUOPcaXCUMA7cNvzrv7AfCAP8JExZpOIjAZWG2NmAZOBT0VkJ3AM6wSglAoDeowrFZ6CegZujJkHzHObN8Lp8zmga2hDc5iUSdvNDOEUK4RXvBprJsrGYzzcvqtwijecYoXwijdHxCpaC6aUUkqFHx2WSymllApDmsCVUkqpMKQJXCmllApDmsCVUkqpMKQJXCmllApDmsCVUkqpMKQJXCmllApDmsCVUkqpMKQJXCmllApDmsCVUkqpMKQJXCmllApDmsBVjiIi94rIkuyOQymlcjpN4GkgIs1FZJmInBSRYyKyVESusS27V0SSReQ/ETklIn+KyC22ZdeLSIptmfNPU9vyRSJyzm3ZbB/rxovIDPt+/cT6gIhsFZHTInJQROaJSFHbsiki8qJb+UoiYkQkr3sZp2XO8a0XkR+cpi+KyAWn6fdC/f0rpZRKFdTrRBWISDFgDvAIMAPID1wHnHcqttwY01xEooB+wAwRKW9blmCMifOzi/7GmA99LEswxsSJiADlgT7A7yLSwRjzs5dYWwJjgLbGmHUiUgroGPxv61MJY0yStwUiMgWIN8Y8F4L9ZBsRyevrd1RKqZxE78CDVx3AGPO5MSbZGHPWGLPAGLPBvaAxJgX4CIgGLg9VAMYSb3tP84fAKz6KXoN1MbHOtt4xY8xUY8zpUMWSUbYai922GoK/RaSnj3LXisgftlqPP0TkWtv8ViLyl1O5n0TkD6fp30XkVtvnWBH5WkQO2/b1uFO5USIyU0Smicgp4N7M+p2VUiqUNIEHbzuQLCJTRaSdiJT0VdBWDf0g8B+wI5Pi+Qa4WkQKe1m2EmgjIs+LSDMRKZBJMfgkIneJiMfFjW1ZYeAtoJ0xpihwLfCnl3KlgLm2spcAbwBzReQSYAVQTURiRCQfUA+IFZGiIhINNMSqpYgCZgPrsWovbgSeFJE2TrvqDMwESgDTM/7bK6VU5tMEHiRjzCmgOWCAD4DDIjJLRMo6FWsiIieAf4E7gS7GmJO2ZbEicsLtxzn5vuW27IUAISUAgpV03GP9HbgNuBorAR4VkTdEJI9TscHO+wO8Jls3R5zWGeyvoDHmM2NMPT9FUoA6IhJtjDlgjNnkpUwHYIcx5lNjTJIx5nNgK9DRGHMW+ANoATTAStBLgWZAE9t6R7FqI0obY0YbYy4YY3Zj/f16OO1nuTHmO2NMim27SimV4+kz8DQwxmzBVsUqIjWBacAErGQNsMIY09zH6oGegT/u5xm4N+WxLiZO+Ij1B+AH2x1oK+ArYBvwvq3Ia87Pq0WkEvB3gH3GhOL5sDHmjIh0BwYDk0VkKTDIGLPVrWgssMdt3h6s3x3gN+B6IN72+TjQEqtdwm+2Mpdhu3hy2kYe4Hen6X0Z+oWUUiob6B14OtmSzRSgTjaF0AVYa4w546+Q7a7yZ+AXsi9WD8aY+caYm4ByWHfVH3gploCVgJ1VBPbbPtsTeAvb59+wEnhLUhP4PuBvY0wJp5+ixpj2zuGE4FdSSqkspQk8SCJSU0QGiUicbboC1p33iiyMQUSkvIiMxHrGPsxHuc4i0kNEStrWaYSV1LIsVn9EpKwtxsJYd8v/YVWpu5sHVLc9T89ru2uvjdUbAGAZUANoBKyyVcNfBjQGFtvKrAJOi8hTIhItInlEpI4E6IanlFI5nSbw4J3GSgwrReQMVjLcCAwKcv1Y8ewHfrvT8nfclq1xXxcr0f0B1AWuN8Ys8LGv48BDWA3oTmFV9Y8zxmRZAy0R6Ski3p5rg/V/NxDrDvsY1sXFI+6FbM+wb8H6jo8CQ4FbjDFHbMvPAGuBTcaYC7bVlgN7jDGHbGWSbduoj/WI4AhWC/7iIfg1lVIq24gxWnuolFJKhRu9A1dKKaXCUMAELiIficghEdnoY7mIyFsislNENojI1aEPUymllFLOgrkDnwK09bO8HVDN9tMH+F/Gw1JKKaWUPwETuDFmMVZDI186A5/YhvlcAZQQkXKhClAppZRSnkIxkEt5XAfCiLfNO+BvpZiYGFOpUqUQ7F6p3G3NmjVHjDGlszsOpVTWytKR2ESkD1Y1OxUrVmT16tVZuXulIpKIuI9Wp5TKBULRCn0/UMFpOo7UkbJcGGMmGWMaGmMali6tNwxKKaVUeoUigc8CettaozcBThpj/FafK6WUUipjAlahi8jnWONNx4hIPDASyAdgjHkPa7jL9sBOIBG4L7OCVUoppZQlYAI3xtwZYLkB+oUsIqWUUkoFpCOxKaWUUmFIE7hSSikVhjSBK6WUUmFIE7hSSikVhjSBK6WUUmFIE7hSSikVhjSBK6WUUmFIE7hSSikVhjSBK6WUUmFIE7hy+Pffk8TGDmDBgo3ZHYpSSqkANIErhw0brNe6T5u2PJsjUUopFYgmcKWUUioMaQJXDiKS3SEopZQKkiZw5WC9WM7Tpk37+fvvw1kcjVJKKX8Cvk5UWfbsOUK+fHmJjS2R3aFkuZtueg2AhITx2RyJUkopO03gQWra9CUg65LYgQMn+PzzlRQrVpCiRaPp3r1RluwX4Pz5JA4fPk3p0kWzbJ9KKaXSRqvQnezbd4z27cdz7NgZAHbvPsz580kB1/vmmzV8882akMby6KOf8tprPzJixHcMGPB5mtdPSDjBgQMn0rXv33/fzpVXjmDPniPpWl8ppVTm0wTuZOLEn/nzz73MmrWOY8fO0Lz5GJ566iuvZY8fP0Pjxi/QseOb9O8/jf79p4U0lsTECxlav2HD52nQ4HmMMUyZsoSDB0+ya9chlzLr1u3hrbd+cky7N2Jr2vQlx8WMUkqpnCXXJvB16/bw33/nXOY5J7BTp84CMGPGKu67b7JLuUWLtnLFFc+xb98x1qz5J1Pi89cgfO/eo0En1iVLdjBs2NdcddUorrvuZZdlHTpMYOzYeX7Xd/6OYmMH0KvXJMD6flau3BVUDEoppUIvVybwxMTzdOgwgQce+JiDB08C8Oefe5k6damjTHJyiuPz/PmuI5MtXx5c4kpMPE/v3h+wd+/RNMe4YUO8z2VNmrzItde+6DJv0qRF3HPPhx5ld+92bT3u/HvZXbiQxBVXPMf48Qu87svZL79sAeCBBz6iS5d3OHPmvO9fQimlVKbJlQn83Dnrufbvv2/nqqtGsXjxNtq3T22cNm3aco4fT/S67vTpyzl//qLf7Q8Z8iWtWr3CM8/MZOHCzYwZM9dl+enT5zhw4AS33voW69fvDSrmBg1GuUyfOuVaezBq1Pf89NMmj/WeeWamy/SOHQc9ylSqNITjx8/w55/BxQKwceN+wEr+Simlsl6uS+Dnzyd59He2JyO7zZsT6NTpTa/rDxkyg+nTV/jdx/TpK9i27V+++mo1AElJyaxYsYs33pgPQJ06z9GgwfOsWvU3w4Z9DcDFi8ls3XqArl0ncvas5/PvAwdOesRtjCE2dgDjxv3gmDd58mKPZO/sq6/+AKyq9YzQQV+UUip75apuZBs27KNt2zc85n/88ZI0bcdXtXFs7AD69bvBY/68eRuYN28DAPHxx7l4Mdll+fjxC1yScMOGz3vd/j33fEiVKqUd0+PG/QjAm2+mNkQbPvxbv7F//fVqhg/vRLdu7/otp5RSKmeL2ASelJRMUlIKBQvmc8xbtepvr2X37z8esv1OnPiL3+VffLHSZXrdur2sW+dade2r+n7hws0u0xMmWM+sU1K8j6DmzaFDp0PSYv7ECe8xKqWUyhoRW4V+661vU6XKUMf0tm0HGDHC/91pbhHKPus+Rl9VSimVySLyDrx+/REcOnQagM8+W8GKFbuYOXN1NkcVmXyNn66UUipzRVwC37nzkCN5Awwe/GU2RhP5Tp48yyWXFMnuMJRSKtcJqgpdRNqKyDYR2SkiT3tZfq+IHBaRP20/D4Y+1MDWr99LixYvBy6oQqZ58zHZHYJSSuVKAe/ARSQPMBG4CYgH/hCRWcaYzW5FvzTG9A9lcHv3HqVgwXykpBgKFszHuXMXKVOmKCLCxYvJJCdbjdTOnDlP9erPhHLXSimlVI4WTBV6I2CnMWY3gIh8AXQG3BN4SB05ctpjFDCllFJKWYKpQi8P7HOajrfNc3e7iGwQkZkiUsHbhkSkj4isFpHVhw8f9lbEwX2kMZVzaUM2pZTKeqHqRjYbqGSMqQf8BEz1VsgYM8kY09AY07B06dLeijjkzx9x7esixrJlO12mjTFcvJisw6oqpVQWCiZL7gec76jjbPMcjDHOb+v4EHg1o4HFxhZn2bJnKV26KIULFwhynQEZ3a0KwqefLnOZTkkxNG36IgkJJ0hIGO9jLaWUUqEUzB34H0A1EaksIvmBHsAs5wIiUs5pshOwJcOBRUVRqVJM0Mkb4O23ezo+r18/OqMhKB++/36dy3RKiiEh4US6t/fuu7/oxZdSSqVRwARujEkC+gPzsRLzDGPMJhEZLSKdbMUeF5FNIrIeeBy4N7MC9qdIkYKOz6VLF+Wuu5pkRxi5jvNQrvPnb8QYw969R7nmmtEsWLDRz5qWF1+cDeizdKWUSougnoEbY+YZY6obYy43xrxkmzfCGDPL9vkZY8wVxpgrjTGtjDFbMzNoX1q0qA7ABx/cC0DTppf7Lf/66z0yO6Rc4bbb3nF8vu++ySxatJUmTV5k//7j3Hvv5KC34+1d5UoppbyLqLHQo6Pzk5Awng4drgSgVq1Yl+V//DHCkeQBmjWrmqXxRSr394j7ehlLIGl5KYtSSuV2EZXA3dWuHcu2bakjs5UvX5Jmzao5pnNiwrjhhlo+l/Xt2yoLI0m/o0f/S9d6OfHvoZRSOVVEJ3CAokUL8v779zB58n0AxMWVciwLdcLYsmUMGze6Dj7TvXujNG3jvvua+1w2YMDN6Yorq40c+Z3f5d99t5Z//z3pMV8TuFJKBS/iEzhAx471adeuHgA33VTbMT/UCaN48WhKlSrsmP78876MH3+nY/qjj+6nfPmSfrfRsGFln8uKFi3oMa9Hj8ZpjvPFF29L8zqhcu7cRR599FOvY6i/996vrFu3JxuiUkqp8JMrErgz55bqRYoE7qJ2001XOD7ny5cnqH189dWjFC5cgKuvvsxlftu2dVm1ajg//jjQMW/u3CepWrUMAC1b1qB48eig9lGiRCHmzx/EG2/0YP/+N/yWXbhwiMv0dddV91Eyc7z33q8YY/j44yX88cffACQmXvAo99prP9Khw4QsjU0ppcJVrkvgzi69tDiFCuV3mff4460dn5s3r8aUKQ84pvfsec2l7HPPdXR8bt069c6+WbNq7Ngx1usds4hQr14FYmNLAHDVVZcxcmRnACpXtkanC+YOeezYO6hbN86xTbu8eaNo3ryaS9natWNZunQYAE8/3Z5q1coG3H4ojR49i4ULN/Pss1/Tvfv/snTfSikVqXLleKWzZz/B6dPWWOubNr3E+fMXqVnTSnC1a8dSr14cGzbE88UXfRERdu58hZMnXVtWV6lSmr59r2fp0h38+utWqlTxPzSsu3nzBrB7tzUe/A031GLcuG506dIAsJ6D16hxKV27vuuyP2e+BrjZu/d1wHNUusqVS3sdJS0uriTx8cfTFHt63HPPhx7zjh79j7Fj5wa1/qFDpyhduqjLxYpSSuVmuTKBN2hQyfG5QIG8FCiQl7VrR/Htt2sdz8uTkpKJirIqKAoVyu+4U+/X7wYmTvyF2bOfICoqihYtavDrr/67vS9YMJhTp866zCtTphhlyhQDrDvonj2bOpaJCPXrV3RMX3ppcUaN6uyyfp48/itP7Bchvgwc2IZy5Ypz88112L37EF26vOOzbGapW3d4UOX+/vswzZqNYcSITmHTEl8ppTJbrkzg3lx6aXH+3969BkdZ3XEc/x4QA4TKLQyEbBpSLhEIUCCDRhwyg9wFgw4l6GDSIrSVYVpKpYChmMHSBtTiFB2YtOCglYGZSjGDMMSmMNQMF5PUyYWiE41MEpkQKAUVTU04fZFks8nuZpd0N8vK7/Pqec5znmf/u3nxz7k85zz9dFNy6NGju9fx7szMBWRmLnAr72gVscRET5u3daxbt9aWZnFxltv16Oi+bc5fe+0pBg++x3m+Y8dSUlKyvT7/mWfmOI8HDfrOLcfXlWprrwNw9GipEriISLM7egw8EIYPb+raTkiI9lHz1rS0/tsrKnqOTZsecfu82bMT27TaR44cTGXlC3z88daAxtUVduz4G0OH/oK0tJ1Ya6msvAxAQ0Ojs86NG/9l27ajfu2AVlt7jUuXrgctXhGRUDChWn86KSnJFhYWhuSzA620tJrExJiAj8+2jGN3xQ5ft+tmIjNnjuXdd8ud5wUFz9K3b28yMv5IUdEFFi6cxLp1c4mNHeD1nx7X39Fay+zZL7Fy5XQWLpzUJd8h2IwxRdbapFDHISJdSy3wABg3zhH2k6tmzUp0K7v33sD2KnSGa/IGmDr1tyQmbqSoqOl98UOHiklO3sLu3f9wu/f69a8oKalqU9bQcJOyshpWrnyDlSvfIDv7HW2iIiJhSWPgAsCUKfHk5ZUxffposrMXERPTn8rKyx4XXLkdPffcIVasSAGakv7atQe4dOlzt3quXe6HDhUDUF5eQ37+vzh3bgsPPfQCFy/+h0mT4jh8eHXXBC8i0glqgQsAjz02mejofmze/CgOxwCMMYRbp8LRoyVs355HRsafPCbvN9887XHMPD+/afv6MWMyuXixaV/z4uILvPpqPleufEFj402++aZ1/P3kyQ/Zt+80JSVVfPVV04I01lquXv2y07GXl9f4NZ4vItJCY+C3sbq6z7lxo564uKiQfP6nn17mgQe2hOSzgyUjYyp79xZ06t716+fxyCMT3X6TrKxUzp6t5MiREt5771kaG29y6lQF6elTWb16H/X1DWRlpRIR0YN+/XoDTRPymtYYqKWy8jLLlu0BOjffQWPgIncmJXDx6tuYwMNJfHwUBQWZPuspgYvcmdSFLl75u/a7BEfL63MiIp4ogYtXMTH9yc5eFOow7mh1de5j+SIioAQuPqSnT2XOnHE+6x079kuv1+6773tA03aqDkfH26lKW1FRfUIdgojcppTAxadXXlnqs058vPeJduvXP8zQof148MGRHD++LiAx7dqVfsv3JCQMueV7tm9/nJSUBKBpW9alS5PbXF+8eEqb7VmTk4ezePEUdu/+EadPb3SW5+U9w2efbaeq6iVSUycCUFGxlXPnWucYvPPOagoKnmXatFEcPLiK0tLnw359AREJHk1iE79Ya4mJWeP1+kcf/Y5Roza4lY8eHU1+/q/alPmz6tu6dfPYuvWIW/mpU5nOWfntnxMZGcGXX9Z7febbb/+M1NQ/uJWvWTObw4c/YMKEWLZtS6OkpIozZz5h587jlJf/xq3+wYNFrFr1Z86e3eTsUSgvr+HChSvMmzfe53dr7/z5i9TXf8OECd/1XdkDTWITuTMpgYvfvCXe+fMnsGtXOg6H52709q9G+Urgmzc/yvLl0zzWq6n5vbNVundvATk5JygoyKS6+ipRUX1Yu/YAb71VBEBFRTYjRqx33rt//09JTHSQmNjaMj5z5tfExg7oMB5PrLW3TetYCVzkzqQudPm/5eT80Os65J5MnNhxS/OJJ+4HPG+Z6po0MzKmOl+zcjj607NnD+e9998/nN69I8jPX8vAgX2cXd0DBkS2eV5nknf7OEREQkEJXAKm/Ran4Hk99djYgQDMmDGGJ59sO6a8YcPDzr3XJ0+Oa3Pt7Fnf+4cnJ49gz55l7Nv3EwBGjx5KaenzvPzy486kO2SIe5wiIuFGa6FLwJw8uYH6+gaWLNlJWVkN4HmyWWrqRHJz/8nGjQsYNWoItbWfk5dXBkD//r2d9V5/fQWVlXU0NNzkxInzOBz+tZZ9zZovLs7i8OEPuHbta3+/mojIbUcJXDrtxRfTGD8+1nkeGRlBZGQEaWlTKCv7KwC9et3tdt/cueOoqnrJ2UU+ffq9zgTe2Ng6J+Oee3o5J3ZNnjwsoLHPn//9gD5PRKSrKYGL3yIi7qK+vnXDjZbx5vbi4gY6j7t18zxW7Dq+7brW+82b2tpTRMQffo2BG2PmGGM+NMZUGGPWe7geYYw50Hz9jDFmWKADldA7cWIde/cu91lvxoyxzmNvCdxVSkoCO3em07NnD2bNGuuzvoiI+NECN8Z0B14FZgLVwPvGmFxr7TmXak8BV621I4wxS4CtQFowApbQiYuLIi4uitzcn1NWVt1h3aioPly+/IXHmeSepKZOdC5wIiIivvnThT4FqLDWfgJgjNkPpAKuCTwVyGo+/gvwijHG2FC9ZC5BlZQ0jKSkYR3WafnL63UrEZHg8Kd5FANUuZxXN5d5rGOtbQCuAQPb1cEY82NjTKExprCurq5zEUtYaMnb+h9ORCQ4unQSm7U2B8gBMMbUGWMu+HFbFBAu+yqGU6zQBfEOHvxyoB4VTr9tV8ca57uKiHzb+JPAa4BYl3NHc5mnOtXGmLuAvsCVjh5qrR3kT4DGmMJwWSYynGKF8IpXsYqItOVPF/r7wEhjTLwx5m5gCZDbrk4ukNF8vAj4u8a/RUREgsdnC9xa22CMWQUcA7oDe6y15caYzUChtTYX2A28YYypAP5NU5IXERGRIPFrDNxaewQ40q5sk8vx18APAhuaU06QnhsM4RQrhFe8ilVExEXIthMVERGRztNuZCIiImFICVxERCQMKYGLiIiEISVwERGRMKQELiIiEoaUwEVERMLQ/wBjEBYBwwbdtgAAAABJRU5ErkJggg==\n",
+ "text/plain": [
+ "