{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Untitled0.ipynb","provenance":[],"collapsed_sections":[],"authorship_tag":"ABX9TyPkKqXXAkfDWzx3Pt7GtCJm"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","metadata":{"id":"-k3h10dE6uxG","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1618463441617,"user_tz":-540,"elapsed":18359,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}},"outputId":"8ca24b67-cb95-456f-e4a1-c6408e5f92c3"},"source":["from google.colab import drive\n","\n","drive.mount('/content/gdrive')"],"execution_count":1,"outputs":[{"output_type":"stream","text":["Mounted at /content/gdrive\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":204},"id":"gsIwSTBVzPev","executionInfo":{"status":"ok","timestamp":1618469838018,"user_tz":-540,"elapsed":795,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}},"outputId":"6cd2a8cc-b55d-42f7-908e-d71d4230c884"},"source":["from __future__ import absolute_import, division, print_function, unicode_literals\n","try:\n","    %tensorflow_version 2.x\n","except Exception:\n","    pass\n","import tensorflow as tf\n","from keras.models import Model\n","from keras.layers import Input, Dense, LSTM, Bidirectional\n","from keras import backend as K\n","import numpy as np\n","import matplotlib as mpl\n","import matplotlib.pyplot as plt\n","import pandas as pd\n","import datetime\n","import os\n","\n","data = pd.read_csv('/content/gdrive/My Drive/capstone2/kakao.csv')\n","data.head()"],"execution_count":248,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>date</th>\n","      <th>close</th>\n","      <th>open</th>\n","      <th>high</th>\n","      <th>low</th>\n","      <th>vol</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2000-04-10</td>\n","      <td>111500</td>\n","      <td>108000</td>\n","      <td>111500</td>\n","      <td>106000</td>\n","      <td>104221</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2000-04-11</td>\n","      <td>100000</td>\n","      <td>100500</td>\n","      <td>117000</td>\n","      <td>99500</td>\n","      <td>822622</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2000-04-12</td>\n","      <td>97000</td>\n","      <td>97000</td>\n","      <td>100000</td>\n","      <td>94000</td>\n","      <td>297372</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2000-04-14</td>\n","      <td>85400</td>\n","      <td>90000</td>\n","      <td>92000</td>\n","      <td>85400</td>\n","      <td>236537</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2000-04-17</td>\n","      <td>75200</td>\n","      <td>75200</td>\n","      <td>75200</td>\n","      <td>75200</td>\n","      <td>7533</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         date   close    open    high     low     vol\n","0  2000-04-10  111500  108000  111500  106000  104221\n","1  2000-04-11  100000  100500  117000   99500  822622\n","2  2000-04-12   97000   97000  100000   94000  297372\n","3  2000-04-14   85400   90000   92000   85400  236537\n","4  2000-04-17   75200   75200   75200   75200    7533"]},"metadata":{"tags":[]},"execution_count":248}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":235},"id":"fYt-X6WP0HB7","executionInfo":{"status":"ok","timestamp":1618469838019,"user_tz":-540,"elapsed":636,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}},"outputId":"3b9194db-5325-4084-d333-88eb2e04ab05"},"source":["features = ['close', 'open', 'high', 'low', 'vol']\n","stockPrice = data[features]\n","stockPrice.index = data['date']\n","stockPrice.head()"],"execution_count":249,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>close</th>\n","      <th>open</th>\n","      <th>high</th>\n","      <th>low</th>\n","      <th>vol</th>\n","    </tr>\n","    <tr>\n","      <th>date</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2000-04-10</th>\n","      <td>111500</td>\n","      <td>108000</td>\n","      <td>111500</td>\n","      <td>106000</td>\n","      <td>104221</td>\n","    </tr>\n","    <tr>\n","      <th>2000-04-11</th>\n","      <td>100000</td>\n","      <td>100500</td>\n","      <td>117000</td>\n","      <td>99500</td>\n","      <td>822622</td>\n","    </tr>\n","    <tr>\n","      <th>2000-04-12</th>\n","      <td>97000</td>\n","      <td>97000</td>\n","      <td>100000</td>\n","      <td>94000</td>\n","      <td>297372</td>\n","    </tr>\n","    <tr>\n","      <th>2000-04-14</th>\n","      <td>85400</td>\n","      <td>90000</td>\n","      <td>92000</td>\n","      <td>85400</td>\n","      <td>236537</td>\n","    </tr>\n","    <tr>\n","      <th>2000-04-17</th>\n","      <td>75200</td>\n","      <td>75200</td>\n","      <td>75200</td>\n","      <td>75200</td>\n","      <td>7533</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             close    open    high     low     vol\n","date                                              \n","2000-04-10  111500  108000  111500  106000  104221\n","2000-04-11  100000  100500  117000   99500  822622\n","2000-04-12   97000   97000  100000   94000  297372\n","2000-04-14   85400   90000   92000   85400  236537\n","2000-04-17   75200   75200   75200   75200    7533"]},"metadata":{"tags":[]},"execution_count":249}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":465},"id":"3Nty6sdWzl5N","executionInfo":{"status":"ok","timestamp":1618469842638,"user_tz":-540,"elapsed":2904,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}},"outputId":"c3225ce5-c0e2-4ca3-e32a-8de4eefcab69"},"source":["plt.figure(figsize = (18,9))\n","df = stockPrice.copy()\n","plt.plot(df.index,(df['low']+df['high'])/2.0)\n","plt.xticks(df.iloc[::50,:].index,rotation=45)\n","plt.xlabel('datetime',fontsize=18)\n","plt.ylabel('Mid Price',fontsize=18)\n","plt.show()"],"execution_count":250,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABD0AAAJECAYAAAAVCV9LAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeZxcVZ3///eppauXdPZOCEkgCYQlyB4gjMCgyKLigCOyKugwMI7y/eLyHQf9Ki6AivP7ygwOMqKgqIyIC4IYhQgI4pBAwhZIgDSBkH3pbJ1earn3/P6oW9W3uqu6u5KuutW3Xs/Hox+pe+69VacrDY/Uuz/nc4y1VgAAAAAAAGETCXoCAAAAAAAAlUDoAQAAAAAAQonQAwAAAAAAhBKhBwAAAAAACCVCDwAAAAAAEEqxoCcwWkyePNnOmjUr6GkAAAAAAACfZcuWbbPWthU7R+gxTLNmzdLSpUuDngYAAAAAAPAxxqwpdY7lLQAAAAAAIJQIPQAAAAAAQCgRegAAAAAAgFAi9AAAAAAAAKFE6AEAAAAAAEKJ0AMAAAAAAIQSoQcAAAAAAAglQg8AAAAAABBKhB4AAAAAACCUCD0AAAAAAEAoEXoAAAAAAIBQIvQAAAAAAAChROgBAAAAAABCidADAAAAAACEEqEHAAAAAAAIJUIPAAAAAAAQSoQeAAAAAAAglAg9AAAAAABAKBF6AAAAAACAUCL0AAAAAACgzqUyrtZu71ZPygl6KiOK0AMAAAAAgDr3xtY9OvXbj+vPr20JeiojitADAAAAAIA6l3ZcSVI8Gq6YIFzfDQAAAAAAKFvasZKkWNQEPJORRegBAAAAAECdy3iVHg1UegAAAAAAgDDpq/QIV0wQru8GAAAAAACULe1mKz1Y3gIAAAAAAEIl41V6sLwFAAAAAACESm73Fio9AAAAAABAqORDj0i4YoJwfTcAAAAAAKBsLG8BAAAAAAChxPIWAAAAAAAQSmk3t2UtoQcAAAAAAAiRdCZb6cHyFgAAAAAAECoZN7e8JVwxQbi+GwAAAAAAULa018g0FmF5CwAAAAAACJFcI9M4lR4AAAAAACBMMo5VxEhRKj0AAAAAAECYpF03dP08JEIPAAAAAADqnuPY0PXzkAg9AAAAAACoe461ihpCDwAAAAAAEDKuaxWNEnoAAAAAAICQybhUegAAAAAAgBByrQ3dzi0SoQcAAAAAAHUv4xB6AAAAAACAEHKo9AAAAAAAAGHkuIQeAAAAAAAghAg9AAAAAABAKDns3gIAAAAAAMKISg8AAAAAABBKhB4AAAAAACCU2L0FAAAAAACEEpUeAAAAAAAglGhkCgAAAAAAQolKDwAAAAAAEEqEHgAAAAAAIJRoZAoAAAAAAEKJSg8AAAAAADCqPfjiBt340Aq5ri0Yd1yrWAhDj1jQEwAAAAAAANXxv3/+vCTp4hMP0MFTxuTHHdcqwu4tAAAAAABgtEtl3IJjx7WKRQk9AAAAAADAKJdxB4YeVHoAAAAAAIBRL+0U9vToTjk0Mh1pxpi3jDHLjTEvGGOWemMTjTGLjDGrvD8neOPGGHOrMabdGPOSMeY43/Nc4V2/yhhzhW/8eO/52717zWCvAQAAAABAPcg4fZUevWlHm3b36oEXNgQ4o8qohUqPd1lrj7HWzveOr5P0qLV2rqRHvWNJeq+kud7X1ZJul7IBhqSvSDpJ0omSvuILMW6XdJXvvnOGeA0AAAAAAEIv49u9ZXdPOsCZVFYthB79nSfpbu/x3ZLO943/xGYtljTeGDNN0tmSFllrt1trd0haJOkc79xYa+1ia62V9JN+z1XsNQAAAAAACL1dvqCjJ+1Ikr79oaOCmk7FBB16WEmPGGOWGWOu9samWms3eo83SZrqPZ4uaa3v3nXe2GDj64qMD/YaBYwxVxtjlhpjlm7durXsbw4AAAAAgFr0yXueyz/OhR6tjbGgplMxQX9Hp1hr1xtjpkhaZIx51X/SWmuNMbbEvSNisNew1t4h6Q5Jmj9/fkXnAQAAAABAEF7b1ClJamqIBjyTkRdopYe1dr335xZJ9yvbk2OztzRF3p9bvMvXS5rpu32GNzbY+Iwi4xrkNQAAAAAACK0DJzXnHz+1apskaduelCTpgInNRe8ZzQILPYwxLcaY1txjSWdJelnSg5JyO7BcIekB7/GDki73dnFZIGmXt0TlYUlnGWMmeA1Mz5L0sHdutzFmgbdry+X9nqvYawAAAAAAEFox37a0/98jr2nV5k5t25OUJM0MYegR5PKWqZLu93aRjUn6b2vtH40xz0q6zxhzpaQ1ki70rl8o6X2S2iV1S/q4JFlrtxtjbpD0rHfd1621273Hn5T0Y0lNkv7gfUnSt0q8BgAAAAAAoeXbtEWOa3XmLU9KkuJRo3g06LafIy+w0MNau1rS0UXGOySdUWTcSvpUiee6S9JdRcaXSnrHcF8DAAAAAIAwy7hu/nGv18A0zMIX4wAAAAAAgKJ8mYeSmb6D5oag9zmpDEIPAAAAAADqRKlKjzBuVysRegAAAAAAUDccX6VHjy/0OHjKmABmU3mEHgAAAAAA1AnHV+mRTPc9HtcUD2I6FUfoAQAAAABAnXB827ekfGUfUd9WtmFC6AEAAAAAQJ3whx5+l5x4QJVnUh2EHgAAAAAA1AnHDgw9brv0OJ0wa2IAs6k8Qg8AAAAAAOpEsUqP5kQ0gJlUB6EHAAAAAAB1oljoMTak29VKhB4AAAAAANQFa62KtfRobQznzi0SoQcAAAAAAHWhVBPTVio9AAAAAADAaJZrYjprUnPBOJUeAAAAAABgVMtVelx84gE654j98uMtDTQyBQAAAAAAo1gu9IhFjKIRkx83xpS6ZdQj9AAAAAAAoA7kQo+IMYp4ocdZ86YGOaWKI/QAAAAAAKAO5EKPaMQo6hV3xKLhrfKQCD0AAAAAAKgLBaFHJOI9DncsEO7vDgAAAAAAqDftKF0QemTH45FwV3qEdzNeAAAAAAAga60O+/IfdercyZJyoYfJPw4zKj0AAAAAAAix3b0ZSdJfVm2TJEVNX+hBTw8AAAAAADBqbe9KFRzHokbNDdmFH1R6AAAAAACAUat/6BExRmMS9dHtgtADAAAAAIAQG1DpETFq8UKP3rQbxJSqhtADAAAAAIAQ60pmCo4jEaNELBsHuN6OLmFF6AEAAAAAQIilncJqjphv9xaFu6UHoQcAAAAAAGGW6VfNEYkY5TKPiAl36kHoAQAAAABAiBWr9MgJd+RB6AEAAAAAQKilncJKjzGJmKw3FPJCD0IPAAAAAADCamd3SvcsXlMw1toYU27FC8tbAAAAAADAqHTFj57V6m1dBWNjEnG5XqmHIfQAAAAAAACj0asbdw8YmzymQbkFLyHPPAg9AAAAAAAIK1tkLBaNKNfUI0LoAQAAAAAAwuBzZx4iSfmeHibk+7cQegAAAAAAEFb9Sj1aErHscL6nR7UnVF2EHgAAAAAAhJTtl3o0xLIxALu3AAAAAACAUc32q/TIHbpUegAAAAAAgNFsQCPTfikIPT0AAAAAAMCo5LjF9m/pq/Rg9xYAAAAAABAKuQgkV/DB8hYAAAAAABAKubAjF36EvZFpLOgJAAAAAACA6rrspAP0yobd+sTfHhT0VCqK0AMAAAAAgDphvVKP1sa4vnvJsQHPpvJY3gIAAAAAAEKJ0AMAAAAAgDpRfC+X8CL0AAAAAAAAoUToAQAAAABACOX6dxSOBTCRABF6AAAAAAAQQm6dBRzFEHoAAAAAABBCrq+s49sfOkqSdMbhU4KaTiDYshYAAAAAgBDKhR7/cvahuvCEmbrwhJkBz6j6qPQAAAAAACCEXDf7Z8SYYCcSIEIPAAAAAABCKFfpEa3jT/51/K0DAAAAABBeudCDSg8AAAAAABAqueUthtADAAAAAACESX55S/1mHoQeAAAAAACEUX55S6R+Uw9CDwAAAAAAQsjxQg+WtwAAAAAAgFDxMg9FCT0AAAAAAECYOG5u95aAJxIgQg8AAAAAAEKInh6EHgAAAAAAhFJueUuE5S0AAAAAACBMWN5C6AEAAAAAQCjllrdE6zj1IPQAAAAAACCEvEIPtqwFAAAAAADhkm9kWr+ZB6EHAAAAAABhlF/eQqUHAAAAAACoNY+9ulmzrvu9Nu3qLfte183+yfIWAAAAAABQc254aKUkacE3Hy37Xpa3EHoAAAAAAFCz9qVIg91bCD0AAAAAAKhZjbHoXt+b270lwvIWAAAAAABQa/Yf3yRJOnH2xLLvdbzUo44zD0IPAAAAAABq1e6etCRpUktD2fdalrcEH3oYY6LGmOeNMQ95x7ONMUuMMe3GmF8YYxq88YR33O6dn+V7ji94468ZY872jZ/jjbUbY67zjRd9DQAAAAAAakky40iSMrm1KmXI3cPylmBdK2ml7/hmSbdYaw+WtEPSld74lZJ2eOO3eNfJGDNP0sWSjpB0jqTveUFKVNJtkt4raZ6kS7xrB3sNAAAAAABqhuNVa2Qct+x7v7PodUlSb9oZ0TmNJoGGHsaYGZLeL+mH3rGR9G5Jv/IuuVvS+d7j87xjeefP8K4/T9K91tqktfZNSe2STvS+2q21q621KUn3SjpviNcAAAAAAKBm5LKOvan0eObN7ZKknd3pkZzSqBJ0pce/S/q8pFxkNUnSTmttxjteJ2m693i6pLWS5J3f5V2fH+93T6nxwV6jgDHmamPMUmPM0q1bt+7t9wgAAAAAwF5xvbDD2YvQIye1F1UiYRFY6GGMOVfSFmvtsqDmMBRr7R3W2vnW2vltbW1BTwcAAAAAUGfyy1v2IfSI0cg0EO+U9HfGmLeUXXrybkn/IWm8MSbmXTND0nrv8XpJMyXJOz9OUod/vN89pcY7BnkNAAAAAABqRq7SI5kpv1rj4++cJUn64LFFFzfUhcBCD2vtF6y1M6y1s5RtRPqYtfYySY9LusC77ApJD3iPH/SO5Z1/zGb333lQ0sXe7i6zJc2V9IykZyXN9XZqafBe40HvnlKvAQAAAABAzchVerRv7iz73ogxammIKhYNurNFcGrxO/9XSZ81xrQr23/jTm/8TkmTvPHPSrpOkqy1r0i6T9IKSX+U9ClrreP17LhG0sPK7g5zn3ftYK8BAAAAAEDNyPXy6Eo5sra8JS4Zx63rwEOSYkNfUnnW2j9L+rP3eLWyO6/0v6ZX0odL3H+TpJuKjC+UtLDIeNHXAAAAAACglri+Xh7JjKvGeHTY96Zdq3i0fvt5SLVZ6QEAAAAAANS3vEUqv69HxnEVi9T3x/76/u4BAAAAAKhh/q1q3+7oLuveVVv2aFxTfKSnNKoQegAAAAAAUKMc1yrqbTn7odv/p6x71+/o0VEzxlViWqMGoQcAAAAAADXKH3qknKGXtyxZ3aHl63ZJkrZ3pTS5NVHR+dW6mmhkCgAAAAAABnKtFIsYpYZ5/UV3LJYktd/0XmVcq6YyGp+GEZUeAAAAAADUKMe1ipryd2DJVYU0xOr7Y399f/cAAAAAANQoa62SGUeJvajWSKa90CNa3x/76/u7BwAAAACgRqUdK9dKB7W15MestfrmH1bq5fW7Br131ZY9kqREvL4/9tf3dw8AAAAAQI3qSTuSpDPnTZUknXvUNO1JZvT9J1brkh8sHvTeC7//tCQqPer7uwcAAAAAoEYlvdCj0Vve8tBLG/XWtm5JUnoYO7lI9PSo7+8eAAAAAIAataUzKakv9JCkRSs2SZKMhtfcNEHoAQAAAAAAaonrWp373ackSY2+vhxJr8IjUiTzsNYOGEvE2LIWAAAAAADUkIzbF2A0+So9dvekJUmtjfEB96SKLHlheQsAAAAAAKgprq9qw7+8ZXdvRpIULVLqkcoMDD3cItUf9YTQAwAAAACAGuOv9PAvb+lNZZubJosEHHc8uXrAWDI9vIanYUXoAQAAAABADdnZndIbW/bkj/19ObpzoYe3s8tL63bqmwtXylqr7z7WPuC5YtHhNTwNq1jQEwAAAAAAAH3ef+tTWr+zJ3/c1BDVz69aoEt+sFivbe6UJHV7occn73lO63b06PRDpwx4njltLfrbQ9qqM+kaRaUHAAAAAAA1xB94SNmeHu+YPlaStL0rJUlyXCtrbb5R6Z1P9S1tmT6+SZL0wWOmy5j6rvQg9AAAAAAAoIY1xiJqbYxrzuSWgvHC3Vqy4ca3/v5IXTh/pqTifT/qDaEHAAAAAAA1LLd7y9imwm1qe9Ou5PU7/dPKzZKkC+fPVMJrfFpsC9t6Q+gBAAAAAEANy4UeuaUsOb1eXw+/SMTohFkTJUknzZ5Y+cnVOBqZAgAAAABQo2656GhFI9mlKw3RgaGHLXLP8QdO0PKvnqXWxniRs/WFSg8AAAAAAGrI+Oa+sCLia0Q6sNKj9PIVAo8sQg8AAAAAAGpIk7ecRZJikb6P7fFo4U4sPWlH1vbVevzz6QdVfnKjDKEHAAAAAAA1JOGr6PCvaIl7B9PGNUoa2NOj2ReWIIvQAwAAAACAGtLoCy+mjWvKP84tbxnrLV3p6dfTI9qvEgSEHgAAAAAA1BR/745JYxryj7uThZUdyX6VHh9ZcGBlJzYKEXoAAAAAAFBDTInmpe86rK3gus7eTMHxWJqXDkDoAQAAAABAwP7avk3f+3O7JCniW6Xi36Z2XFO26iNX/fHG1q6C3V0wEKEHAAAAAAABu+yHS/TtP74mSfLHGP5Kj9bGmCTJ9XZs+a8n3igIRTAQ7w4AAAAAADXCda0cX3fSuC/UaIxnHyczbt/5GJUegyH0AAAAAACgRuxJZeS4faFGzLfWJRHL7uqSTPvP87F+MLw7AAAAAADUiN6UI6cv0yhoaprr5TFv/7H5sdxSl19+4uTqTHCUiQU9AQAAAAAAkJV2bUGlh9+0cU164FPv1KH7tepXy9ZJklIZV+85fIpOmDWxmtMcNQg9AAAAAACoEemMK8fNVm+cWCTIOHrm+ILj7pTDEpdB8M4AAAAAAFAj0o4r10pnzZuqe646acjru1MZRaM0My2F0AMAAAAAgIDl+pWmHFcZ11VLIlawc0spe5IZxSOEHqUQegAAAAAAELCoF1xkHCvX7TseSm/aVWwY4Ui94p0BAAAAACBguZAj7VV6RM3gocd3Lzk2/zhGpUdJhB4AAAAAAAQsF3KkMq4cV4oMEWQkYn0f52P09CiJ0AMAAAAAgIC1JLKbq+7qSctx3SGrNxLxaP4xu7eUxjsDAAAAAEDAJjQ3SJK27UnKce2QPT0KKj1Y3lISoQcAAAAAAAFrjGc/nveknWGFHg2+0MNWdGajG6EHAAAAAAABi+QbmVr1Ztx8CFKKv9Ij7bgVndtoRugBAAAAAEDAco1Mu5IZOa5Vc0Ns0OsTsb6eHoQepRF6AAAAAAAQMNdmF6ns7k1Lkpp8jUqL8Vd6JDOEHqUQegAAAAAAEDDHa8yxuycjSWpqGCL08C1/sTT1KInQAwAAAACAgLluNrnY1ZOt9GgeIvSY3JLIP2b3ltIIPQAAAAAACFhuecsTr2+VpCF3b4lEjL7xwSMlSbEoH+1LGbwzCgAAAAAAqDjHLVyjMpzmpOcfu7+efWu7PnfWIZWa1qhH6AEAAAAAQMDcfo050pmhG3U0N8R0y0XHVGpKoUANDAAAAAAAAetf6XHK3MkBzSRcCD0AAAAAAAhYv8xD+49vCmYiIUPoAQAAAABAwPovb8HIKCv0MMa0GmOuN8Y8ZYxZZYw52Ruf7I0fVplpAgAAAAAQXv2Xt2BkDLuRqTGmTdJTkuZIavf+bJIka+02Y8wVksZL+mwF5gkAAAAAQGi5vtDj4hNmBjiTcCln95YbJe0n6SRJb0va0u/8A5LOGKF5AQAAAABQNxzf8pZxTfEAZxIu5SxvOVfS96y1z0kqVnezWhJxFAAAAAAAZXLcvseJGO03R0o57+RkZZe1lOJKaty36QAAAAAAUH+sr9IjEY8GOJNwKSf02CTpoEHOH6vsshcAAAAAAFAG//KWtdu7A5xJuJQTeiyUdKUxZlr/E8aYkyRdrmxfDwAAAAAAUAb/7i1sXztyygk9viYpI+l5Sd9Utq/HFcaYn0t6UtIGSTeP+AwBAAAAAAi5jGPV0pBd1kLmMXKGHXpYazdJWiBpiaR/kGQkfVTShZIekXSqtXZ7JSYJAAAAAEBYWWvVk3byu7Y4pB4jpqyWsNbatdba8yRNVHbr2gWS2qy1H7DWrqvEBAEAAAAACLNkJrt1ywmzJ0qSTj90SpDTCZXY3txkrd0t6dkRngsAAAAAAHWnJ+VIko6dOV43ffBIjUns1Ud1FDHsSg9jzEXGmJ8Mcv5uY8wFIzMtAAAAAADqQ086G3o0xqMEHiOsnOUt10hyBznvSPpf+zYdAAAAAADqS8pb3tIQK6sDBYahnHf0cGV3binleUnz9m06AAAAAADUl4ybDT1iUUKPkVbOO9qibDVHKVZS675NBwAAAACA+pLKZHdraYiagGcSPuWEHm9KOmWQ86dIenvfpgMAAAAAQH3JV3pEqPQYaeW8o/dL+rAx5sr+J4wx/yDpw5J+M1ITAwAAAACgHqSdbOgRp6fHiCvnHf2WpJWS7jDGvGyM+Zn3tVzSDyS9Jukbw30yY0yjMeYZY8yLxphXjDFf88ZnG2OWGGPajTG/MMY0eOMJ77jdOz/L91xf8MZfM8ac7Rs/xxtrN8Zc5xsv+hoAAAAAAFRb2skub4lHWN4y0oYdelhrOyW9U9L3JU2TdKn3tb+k2yX9jbV2dxmvnZT0bmvt0ZKOkXSOMWaBpJsl3WKtPVjSDkm5ypIrJe3wxm/xrpMxZp6kiyUdIekcSd8zxkSNMVFJt0l6r7INVi/xrtUgrwEAAAAAQFVR6VE5Zb2j1tpd1tpPSposaar3Ndlae421dmeZz2WttXu8w7j3ZSW9W9KvvPG7JZ3vPT7PO5Z3/gxjjPHG77XWJq21b0pql3Si99VurV1trU1JulfSed49pV4DAAAAAICqyniVHjEqPUbcXsVIXmCx1fuye/viXkXGC5K2SFok6Q1JO621Ge+SdZKme4+nS1rrvX5G0i5Jk/zj/e4pNT5pkNfoP7+rjTFLjTFLt27durffJgAAAAAAJaVylR5sWTviYqVOGGMOkCRr7dv+46Hkrh/mtY6kY4wx45VtlHrYcO+tBmvtHZLukKT58+fvdbgDAAAAAEApuUoPQo+RVzL0kPSWJNcY0+wtD3lL2eUnQ4mWOwlr7U5jzOOSTpY03hgT8yoxZkha7122XtJMSeuMMTFJ4yR1+MZz/PcUG+8Y5DUAAAAAAKiqfE+PKMtbRtpgocfXlQ05Mv2OR4Qxpk1S2gs8miSdqWyD0cclXaBsD44rJD3g3fKgd/y0d/4xa601xjwo6b+NMd9RtqnqXEnPSDKS5hpjZisbalws6VLvnlKvAQAAAABAVaVZ3lIxJUMPa+1XBzseAdMk3e3tshKRdJ+19iFjzApJ9xpjbpT0vKQ7vevvlPRTY0y7pO3Khhiy1r5ijLlP0gplA5pPectmZIy5RtLDylaf3GWtfcV7rn8t8RoAAAAAAFRVmuUtFTNYpUeeMWaMpFsl/cFa+8uReGFr7UuSji0yvlrZnVf6j/dK+nCJ57pJ0k1FxhdKWjjc1wAAAAAAoNoybrbSI8bylhE3rBjJ21r2YkljKzsdAAAAAADqSyrD8pZKKecdXSFpVoXmAQAAAABAXcq4ueUtVHqMtHJCj29L+mdjzCGVmgwAAAAAAPUm7VV6xCJUeoy0YfX08Bwmaa2k5caYhyStktTd7xprrb1hpCYHAAAAAEDYpan0qJhyQo+v+h5/sMQ1VhKhBwAAAAAAw5R2XDVEIzKG0GOklRN6zK7YLAAAAAAAqFPpjEuVR4UMO/Sw1q6p5EQAAAAAAKhHacdVPEY/j0oY8l01xlxsjFlujOkxxqw1xtxojOFvAwAAAACAffSDJ1dr0YrNNDGtkEErPYwx75f0395hh6Rpkr4gqUHS5ys7NQAAAAAAwu2mhSslSfuPawx4JuE0VJR0rbJhx3xrbZuk/SQ9rezWtYlKTw4AAAAAgHrA8pbKGOpdPV7S9621z0mStXabpC9KapZ0eIXnBgAAAABAXYhHCT0qYah3dbyk1/uNvSbJeOcAAAAAAMA+IvSojKHeVSMp028sd8zfCAAAAAAAI6CBLWsrYjhb1s4yxhznOx7n/TnXGLOz/8W5pTAAAAAAAGB4ohFCj0oYTuhxg/fV3/dKXB/d++kAAAAAAFB/Uo4b9BRCaajQ42tVmQUAAAAAAHWsO+UEPYVQGjT0sNYSegAAAAAAUAGua/OPewg9KoJmpAAAAAAAVMnO7pTuW7pWkpTxhR5px5a6BftgOD09AAAAAADACPjsfS/qsVe36JiZ4zVzQnN+/H1H7hfgrMKLSg8AAAAAAKpka2dSUnY5S8bNNi99z+FT9ZUPHBHktEKL0AMAAAAAgCqJeFvTOtZqZ3daknTWvKlsWVshhB4AAAAAAFRJLttwXKstnb2SpLaxiQBnFG6EHgAAAAAAVEnMSz1e3dSpD93+tCRpSiuhR6UQegAAAAAAUCURkw09vvzbl/Nj+49rCmo6oVdy9xZjzOV784TW2p/s/XQAAAAAAAivWHRg744JLQ0BzKQ+DLZl7Y8lWUn+vxH/xsGmyJgkEXoAAAAAAFDErEkt+mt7R9DTqBuDhR7v6nccl3SzpEmS/kvSCm/8CEn/JGmbpH8d6QkCAAAAABAWrY3xguPrz50X0EzqQ8nQw1r7hP/YGPN1SY2SjrTWdvpOPWiMuU3SYkmnSnq0EhMFAAAAAGC0c1y34PgfTpkd0EzqQzmNTD8m6Uf9Ag9JkrV2t6QfSfr4CM0LAAAAAIDQybh9HSKikYH9PTCyygk92iRFBzkflTRl36YDAAAAAEB4Of7QwxB6VFo5ocerkq4yxkzof8IYM1HSVZJWjtTEAAAAAAAIGyo9qmuwRqb9fVXSbyS9Zoy5S9Jr3vhhyi5rmSjpghGdHQAAAAAAIeI4faFHjNCj4oYdelhrHzDGXCDpPyR9vt/pdZIustb+diQnBwAAAABAmPgrPVjdUnnlVHrIWnu/MeYBScdLmkQPm/4AACAASURBVOMNr5a0zFrrlr4TAAAAAAA4rqvWxpg6ezOydujrsW/KCj0kyQs3nvW+AAAAAADAMGVcq7YxCV00f6bee+S0oKcTemWHHgAAAAAAYO84rlUsavSlc+cFPZW6UDL0MMa8KcmVdJi1Nm2MWT2M57PW2oNGbHYAAAAAAIRIxrWKRsrZSBX7YrBKjzWSrPclSW/7HgMAAAAAgDI5rmXXlioqGXpYa08f7BgAAAAAAJQn41pFCD2qhpoaAAAAAACqxHFdKj2qiNADAAAAAIAqyThWUUKPqhl09xZjzGNlPp+11p6xD/MBAAAAACC0khlXrY1spFotQ73Tp0tKS0oN8/lodAoAAAAAQAldyYymjWsMehp1Y6jQIyPJSPqTpB9Jesha61Z8VgAAAAAAhFB3ylFzA5Ue1TJUT4/pkr4g6WBJ90tab4y52RhzaMVnBgAAAABAyHSlMmpJRIOeRt0YNPSw1m611v4/a+2Rkk6W9ICkqyWtMMY8bYz5R2PMmGpMFAAAAACA0S6VcZWIsadItQz7nbbWPmOt/YSkaZIul9Ql6fuSNhpjPlKh+QEAAAAAEBppx1U8SuhRLWUvJLLW9kq6xxjzliRX0nskzRnheQEAAAAAECrWWqUdqxihR9WUFXoYY6ZJukLSxyTNlbRB0jeVbXIKAAAAAABKSDvZDU8boibgmdSPIUMPY0xc0nmSPi7pLEmOpAclfUbSw+zmAgAAAADA0NJO9uMzy1uqZ9DQwxhzq6RLJU2QtFzS5yT9zFq7vQpzAwAAAAAgNAg9qm+oSo9rJPVI+rmk57zrP2ZMyVIca629ZeSmBwAAAABAOKRyoQe7t1TNcHp6NClb7XHpMK61kgg9AAAAAADoJ0NPj6obKvR4V1VmAQAAAABAyLG8pfoGDT2stU9UayIAAAAAAITZxl29kgg9qol3GgAAAACAKrj4jsWSCD2qiXcaAAAAAIAqKr03CEYaoQcAAAAAAFXUk3KCnkLdIPQAAAAAAKCKetOEHtVC6AEAAAAAQBXR06N6eKcBAAAAAKiCqWMTkqTzj50e8EzqB6EHAAAAAABVkHGsLjvpAEUjdDKtFkIPAAAAAACqoDvlqCURC3oadYXQAwAAAACACktlXPWkHY0h9KgqQg8AAAAAACps256kJKmtNRHwTOoLoQcAAAAAABW2pTMbekwh9KgqQg8AAAAAACpsayeVHkEg9AAAAAAAoMIIPYJB6AEAAAAAQIXlQo9JLYQe1UToAQAAAABAhXWnMkrEImqI8TG8mni3AQAAAACosGTGVYLAo+oCe8eNMTONMY8bY1YYY14xxlzrjU80xiwyxqzy/pzgjRtjzK3GmHZjzEvGmON8z3WFd/0qY8wVvvHjjTHLvXtuNcaYwV4DAAAAAIBKSGYcJeLRoKdRd4KMmTKSPmetnSdpgaRPGWPmSbpO0qPW2rmSHvWOJem9kuZ6X1dLul3KBhiSviLpJEknSvqKL8S4XdJVvvvO8cZLvQYAAAAAACMumXHVEKXSo9oCe8ettRuttc95jzslrZQ0XdJ5ku72Lrtb0vne4/Mk/cRmLZY03hgzTdLZkhZZa7dba3dIWiTpHO/cWGvtYmutlfSTfs9V7DUAAAAAABhxyYyrRJzQo9pq4h03xsySdKykJZKmWms3eqc2SZrqPZ4uaa3vtnXe2GDj64qMa5DX6D+vq40xS40xS7du3Vr+NwYAAAAAgKRk2lUixvKWags89DDGjJH0a0mfttbu9p/zKjRsJV9/sNew1t5hrZ1vrZ3f1tZWyWkAAAAAAEIs5bjs3BKAQN9xY0xc2cDjHmvtb7zhzd7SFHl/bvHG10ua6bt9hjc22PiMIuODvQYAAAAAACMumXbYvSUAQe7eYiTdKWmltfY7vlMPSsrtwHKFpAd845d7u7gskLTLW6LysKSzjDETvAamZ0l62Du32xizwHuty/s9V7HXAAAAAABgxLFlbTBiAb72OyV9VNJyY8wL3tgXJX1L0n3GmCslrZF0oXduoaT3SWqX1C3p45Jkrd1ujLlB0rPedV+31m73Hn9S0o8lNUn6g/elQV4DAAAAAIARlyL0CERgoYe19ilJpsTpM4pcbyV9qsRz3SXpriLjSyW9o8h4R7HXAAAAAACgEpIZh0amASBmAgAAAACgwljeEgzecQAAAAAA9kHacdWTcga9JpVxlYjzEbzaeMcBAAAAANgH//f+5Tr8+j8q25WhuGTGVUOUj+DVxjsOAAAAAMA+uG/pOklSynFLXpPMOErE6elRbYQeAAAAAACMgFJLXKy17N4SEN5xAAAAAABGQE+6eOjx9Bsdcq1Y3hIA3nEAAAAAAEZAV7J46HHpD5dIksY3x6s5HYjQAwAAAACAEXHDQysGPf/+o/av0kyQEwt6AgAAAAAAjFZrOrryj7tTmaLXjEnEdPEJMzWxpaFa04KHSg8AAAAAAPbS9Q+8kn/cGI/KcQduW5tyXMVpYhoI3nUAAACghuzqSetLv11echcIALXluAMmSJJaG2P6y6pt+uefLSs4b61V2nEVp4lpIHjXAQAAgBryn4+t0s8Wv61fPPt20FMBMAyxqJGk/NKVR1ZsLjifca2slRq861BdhB4AAABADUk72dL4TJESeQC1pzftKGKkNR3dRc+nHVeSqPQICO86AAAAUEMMvwwGRpWelKPGeDR/PLaxcL+Ql9btkiRFI/zHHQRCDwAAAKCGGGU/GFkKPYBRoTfjqMkXesT6VXRc+eNnJUnb9qSqOi9kEXoAAAAANeSeJWskUfEBjBY9Kbeg0qN/RUeX15TYH4ygegg9AAAAgBqSzLhBTwHAEFIZV73pbJjRm3HUGI/od9ecIklqbigMNy44foYk6eOnzKrqHJFF6AEAAADUoJfX79J9z64NehoAivj72/+qk77xqCSp1+vpceSMcTpp9kSt6ejW65s789c2N0Q1vjmusY3xoKZb1wg9AAAAgBphfY08fvvCBn3+1y/ld34AUDteXr9bu3rSclyrHd0ptXrNS5e8uV2S9NCLG/LX9qYdNcZY2hIUQg8AAACgRhTbpnZHd0pPv9Ghrz74SgAzAtBfyrcEbdmaHXru7Z1q8EKN0w9tkyQdOKklf01v2lUizkfvoPDOAwAAADXCKRJ67OxO65IfLNaP/+ctuUXOA6iu9Tt78o+/4oWRp82dLEm6/tx5kqSI75M2lR7BIvQAAAAAakSxSo9ub+cHKdswEUCw3uroyj9euXG3JOnvjtlfkpTwdmjxV4MkM64aqfQIDO88AAAAUCMyRfp37OpJ5x93JQk9gKC1b95TcNwUj2pyS0KSFI9mt6tNOX0BZm/ayYchqD5CDwAAAKBGFKv0eNX7TbIk9aQIPTDQktUd+s4jrwU9jbrx6qZO7Te2MX88rimuSCQbdiSi2XAj7av06M24aiT0CAyhBwAAAFAjivX0eKp9W/5xVypTzelglLjojsW69bH2oKdRN3b3pjW+uW/7Wf+ys3gsV+mRDT0ef3WLXly7U00sbwkM7zwAAABQI4pVeqzd3p1/3E3oAZX+Oei/POreZ97W9q5UNaZUV/b0ZtTaGNN7Dp8iKdtsOKchmv2Inav0+PiPn5WUrQZBMAg9AAAAgBrx9d8N3JZ2467e/GN6emDh8o2ad/3DWrFh94Bz3em+n483t3Xput8s17X3Pl/N6dWFzmRarY1x/b8PHzPgXDRiZEy20sNfudXcEKvmFOFD6AEAAADUiIdf2SxJOuOwKfmxpK83wI7u8n5rf8NDK3TLotdHZnKoCYtWZH9GVm4cGHr4e744bvbnZv2OngHXYXistVq2Zod+tWxdwXhnb0ZjEjG1NmaDjAm+pS7GGDVEI0o5bkET4nf7/ptGdRE3AQAAADXmsgUH6AeXz9ecLy6UJB3U1qLV27rUvmWP/rRis2ZObNah+7UO+Tx3PvWmJOkzZx5S0fmietLeEpaI9+tr//KVgu2N09nrUkV2BMLwnHLz41q/MxsanX3EVLU2ZsON3PKWSMTotkuP0zumjy24ryEa0cvrd+nTv3hBknTLRUfrtEPaqjt55FHpAQAAANSIk+dM0py2Fr37sKmKRIzGJLK/o5zUklBTPKrulKN//MlSnf3vTw75XF3Jvr4Pv31+fcXmjOrKhR6f/9VL2tqZ1HE3LMqf8/f66PGWumScgX1iMDy5wEOSrr33hfzjzt5MPgB5/1HTdOCkloL7OpMZ/bW9Q0++vlWSNL6poQqzRSmEHgAAAECNyLiuprb2bYW5xwsupoxNqDEe1aMrNw/7uc66pS8YeXNb18hNEoFKecud0o7V2h3dBef8y1s27872gvF2UkWZ+jeFfezVLZKkpW9tV8px80tbhmNcM01Mg0ToAQAAANSItGMViw78lPrRBQeqMRZRx57h9/Tw/5batfy2Pyx2+vpEbNhZ2K/Dv7xl7fbsubaxjUL5LvvhkgFju7rTuuC/npZUfHvpUpoboiM2L5SP0AMAAACoEY5rFSvyq/kJLQ1qjEfV6VV+NMbL+2d8Zy9b3YbFLt/2qI+/ml0+ccHxMyQV/j33eEtdKPTYO0ve3C5J+sXVC3TirImSpKt+sjR//pCpY0reO3lMouD44LbS16LyCD0AAACAGpF2XMWiA/+J3hSPqiHWN95Q5JrB/Ph/3lJnb3roC1HzZk5szj/+9XPZXUU+f/ahkqTtvt19cj09yqlIQJbrWsWjRh9dcKBOmjNJnz0r2wj4mbeyQciJsyfq7CP2K3n/ew7v26llTltL0f+mUT28+wAAAKPAi2t35tfyI7xKVXo0N0QV931wMqbvmiWrO/Taps6C6xcu3yhJOnXu5PzYG1vp6xEG0RKVQLGI0Ubfcpdc6JFm95ayrd3RrbRjdeT0cZKkk2ZPLDjvurbgv8H+/EvUfv2Jv6nMJDFshB4AAAA1bk1Hl8677a96582PFYwvXt2hFRt2BzQrVELGtQW/FX7P4VMlSWMaY4r7Pkh1JTP5EOyiOxYP2M3lk/c8J0k6YVbfh7VdPVR6hMGeZOFSpbOPmKp4NKI5bS1q37InP57r75Gh0qNs63dkw6NcVY0xRmfOm5o/v3VPctD7cwHlnMktmtDCzi1BI/QAAACocTu8NfxbO5P5HQWstbr4jsV6361/CXJqGEGua7WjO6WEbxnL7R85Tk/8y+lKxKIFYUjGHbhzR45/OUNzQ1SXnHiAJOmKu56RywfgUa8rmdEBviUuR80YL0lqa02oo6tveUsvlR57bZO3881+4/qawP7g8vl67stnSpLGNQ2+G0vUqwLxL0lDcPhbAAAAqHH+Iup7lrwtaeBvezH67epJa2d3Woft15ofi0cjOnBSi/e4sJx+867egm01c4HGqi19S10a41F98vSD8sddKX5uRruuZEbHzByv8d42qGO9D+CTWhLq8FUg5Cs9HIKucuVCj6ljCxuSTmxp0C0XHa3bP3L8oPf/8Kk3JUmrWVJWEwg9AAAAatCeZEafvvd5nXLzY3pzW98/nHd6VR/byti6FKNDLpAY21j8t8i5kvlcK4FLf7ikYMlK7vGmXb35sbTjqrUxlj/ezS4uo96epKOWRCxfyZGrOpjY0qCOPSm5rtX2rpR6vNBj/c4elsGVafOuXrU2xtTcEBtw7oPHztD08U2D3v+Bo/eXJEX4tF0TBv4tAgAAIHC3Pd6u376wQZL0X0+8kR8f25T951vHEGvKMfp0JbMfUpsT0aLnY94nqHFN8Xz4dfyNf8qf396d0oSWBiV9DW+3dibVkvCFHj3pIT+wobZ1JTMak4iqN539e57tVQJNHtOgzmRGX37gZd2z5O2CJTA/XbxGXV512K2XHFv9SY8i1lqt3tal/cY2Dn1xCR86brp+9+IGxUk9agJ/CwAAADXIv1NLrkw99/j/3r9c/+eXLwYxLVRQrtLDH1L49V/e0t/vX8ru2JL72Tlp9kRddeqcgl1fOveh0qMrmSmoIkF1dacyOuGmP6kn7RT8jMyYkA2xJo3JLsXILYHb4NvJJR41evDFDXrwxQ0DnpMtbQv98C9v6i+rthX8d1Ou3JbSnSxDrAmEHgAAAAGx1uq+Z9cW7c/h/3jrr+p4+o0O3bPkbb3VUbyJJUav3G/ix5QIPVZuzC5R2Nmd1oTmgUtgvrPodUl9oce/XXD0gJ0jdu/DDi4Xfv9pLfjmowVjGcfVrm52hamGFRt2a2tn9v8F/m2Nx3jLlyb1+7vOuFanH9omKdvbpT/HtZp3/cP6+u9eqdSUR6WbFq6U1NcIdm/kYqST50wagRlhXxF6AAAABOSRFZv1+V+/pO888vqAc8aXenSlHMUiRrGIKejvkfPsW9srOU1USX55S0Px5S1R3wfdq06bU/J5cstbiu0c8drmzgFjw/WK1xfizqfezFcRXP/gKzr664+wQ0gVdPkqvg6Z2qrzjsn2jchVJBQLNvYf36RELKI7nlw94Fzu7/Dup9dUYrqjXtrd+5/p3DbBsSGqs1AdhB4AAAABee7tHZKkzt7C35Sv29Fd0KBSkqa0JtQYj2q9r2Q99+H4hbd3VnimqIahKj38H2oPbhtTcO7ykw/MNyxNZbIfjv2hx6LPnCZjpDe27tnned7w0Ir8Vsm/WrauYO6onKSv8uCsI/bTdy48Rq/ecE5+bPbklgH3NMejRcMQSVq0YnP+cT1W63TsSeqni9fIWqvdvWlZmw0qcrvifPn98/b6uR0vMPEHlQgOoQcAAEBANnv9EX65bJ3+smprfvyUmx/XfUvXFVw7ZWxjwYfYG89/h/78f07XmERML6wl9AiDoXp6+DX1qwZpG5NQZ29GvWknX+mR8P28zJ3aquZ4VL95bn1+a9t9kWukmltKwxbKlbexXz+VaMQUBBozfY1Lc5oaogMC1Jy1O/qWyK3ZHu6tVR3Xqrvfds1fvH+5vvzbl3XnU2/qqK8+otlfWKh1O7rVlczoE397kM46Yr+9fr3JXn+VI6eP26d5Y2QQegAAAATEv1Tlo3c+M+i1k8c05JvjSdJHFhyoKWMbtSeZ0e+XbywITTA65Za3tBTZJlOSclnFv190zIAmiwdNyVZ+vLx+Vz6I6L+8Jbc8YltX+Tv/ZIosX/H3PMjNHZXzlQezvTd+ftWCktfktkrN6R+Ojff1gunwbXtdKhgJi8/84gXNu/7hfDWHJK3dnq2au/H3K/Njp9z8uNKOHdAfpVxHzRiv+z/5N/r0ew7Zp+fByCD0AAAACMg234eOnFK/hW9qiBV8YOlvqNAEta8rmVHESI3x4v9Ez31gmzGhqSDQ+MiCAzRzQva3/Du700pmXEVMYbNLSfqXsw+VtHc7uPi3wc3p6Or7+d20u1c7uwf+PGPkzZo8sKIj598uOEo/+tgJ+ePmeFSLPnOafn7VAr3vyP2U9v09bu9KqcULRfZlV59al8q4+V1rcsHf+p09WuE1Bi5m4j6GHpJ07AETWN5SIwg9AAAAAtJTZHeAlzfsKnptIhbRAV75uv8f5PMPnFCZyaGq3trWpf98vF2ulYwp/kEp1xwxEYsq4l1z1IxxuvH8I9WcyH547UpllHJcNcQiA55n3rSxkqSL71hc9s4Uxa7f7gvtrrjrGR3z9UVlPSfKc+Ck7H//08Y1lbymMR7VaYe05Y+bEzHNndqqkw+apFmTWgrCq217kjpwUrYPyOOvbqnQrCsvmXH0ufte1JqOgUt0/tq+TYd86Q/5453dKVlr9c5vPVZw3ZhETKfOnZw/njRm30MP1A5CDwAAgID0pJyCAOObf1ipLbuLLz1IxCL5kKTJt47/Z/94UsF1O7pS+ubClXr4lU16eX3xAAW158xbnhjymh7vt9Rjm2IDGiXmlsR0JR0l044SseI7eUjS1s6kXiyzD0yxSo8/vLxxwJh/+QBGlrXS+cfsP+R10YjJB6T+nYAaYhFlXCvHtbLW6tVNnfkg5ZfL1mlLZ2/R56t1L6/frV8/t07X3vtCwfh//GmVLvvhkoKxjj0pXffr5fnjU+dO1hmHTdEfrj1VP72y7/+lxfqjYPQi9AAAAAiAtVY9aUfnvKOvWd73n1itHb4lAu87su9cIhbV+OZsQPKPp87OjzfGo7po/kxNHZttnHfavz2u7z+5Wv/002U697tP8SF0lEg7Q/895UKvlkRMuRYbuSUsLV6lx+9e3KC7n15TdLvaOW19u3vsLLOHQ67S49gDxuvQqa2SpO/9+Y0B1939P29Jyu4Gwo4uI+f3L23U29u7Na6p9BI3v9xWqf7QI+P9jG3a3avfL88GVk+1b8ufv/GhlRqNlq3JbtntL2zKOK5u+dPArcDv+Mtq/WLp2vzxnVecoDs/dsKAkOOgfrsjYXQj9AAAAAhAbzr7qXXmhGYdtl9rfnynb+vIkw/qK7detHKTrj93nv7ptDn6yIIDC56rIRbR5t1J9aadAWvzi/UNweh0y0XH6IRZEzShuUHvmD5W86aN1Ze8bTWbvUqPp1d3SCrcuSXH3/x0/Y6eAecHk/t5/afT5ugbf39kyeueXLVNrmv1vlv/okt+sLis10Bp//KrFyVJ24e5tWw8kv27bor3NcX97QvrJUn/8afXdc1/P599Xq/Pi1R+EFYrvrHwVUnS2Ma+QGhzZ2HF3BUnZ/+f+fuX+qqTXvna2QPCwd9dc4ru+tj8Sk0VASH0AAAACEDfUpW+f45FI0bbvUqP9x85TR88drrOmjdVknTm4fuprTWhL7zv8AE7d6zfmf0A+6l7nhvwOp29o/ODDAb620Pa9MtP/I2iEaPmhpgWXnuqjp45XpIGNEwsVukhKd/kMvczM1zJTPbnNRGLFizJmtCvue7unrT2pDJav7NHL63bVXbvEBSXC7VmTxresouE9/8Vf/VD7v8bKd9Spb8/bkY+dN2XqrCX1u3Un1+rfl8Q/1bJY3xbPW/alf35vuZdB+vlr52tr3zgiIL7zjhsStGtoY+cMU7vPmxqhWaLoBB6AAAABKA7lf3HenNDLN+UUpI27+7VtHGNuu2y4zQmEdN7vSUuly04oORzXX9u9rf9T7w+cNvaMO/KECYjvclDqkgPDkl612FTNHtyi7Z0lrdtba7SIxGPFIQemX67Dc2e3KKFvt+mh30r1Gqw1iqZdjRv2lhd8+65w7rnS++fp/3GNhZUkd126XGSpKnjGvNjzfGo/vjp03T0jHF7vRzp7Y5u/d1//lUf+9Gzuvbe5/X65s69ep694e9blFuy05t29PArmyVJ5x49TWMSMUX6/Qd2p2+HG4QfoQcAAEAAur2mlI0NUXmV6HJcq8VvdGjGhL7dGT547Ay98rWzB11jPmtyiy458YCCD6AfODrb8JDQo/ZVou/KnkE+wI5JxMr+gNuTzl6fiEU1trHvN+S55qo5v1y2Ttf9pq9R5Paugcurlq3ZrldK7FKEgbpSjjqTGZ13zP4lK3j6O3H2RC3+4hn5PkCSdPi0Vhkjbd7V17A0FwYcPKVVm3btXSPTLz/wcv7xAy9s0PW+40rrv01y+5Y9+ux9L+iOJ1dLkmZN6utjc/AU+nTUK0IPAACAAPzi2WwzvdbGmKK+So8Nu3rV2li4ZOD/Z++8w6Mo1zZ+z5Zk03sjIQkhQIDQQi+hd7AXFBXQI1b0HD/xyFFUQFDEjgcbCoqKcrBLk95CCTX0kkYS0vumbLbN98fsTGa2JNmQunl+1+Xl7OzM7ISdTOZ93vu5b2sybHPcRIaFAyN88PSYrgCovaU9UFatg7GJ6x51FbtcneR2Fz2u5HKz91H+bmAYBneYUkQM9RRsrKXE3PPZUcxYfdiuz+/I8MUIzwaamNqCYRiwLPD72WwAQJ9QL+G9UG8Vcss1QhuTPZi3OAV6qGxs2fQUV3L3t7vjQgEAEz84gG3nc4X3VeKkq39Ik66IjgMVPQiCIAiCIFqBEtMM+Miu/hbS64YUOcwR7yOXMfAwzcZbG/xezVXjUnY5WJbF2oOpFG3byvCtJvHd/LHluVFNckxDHVUUN2cFLuWU44+zN2FsYLUlr0wDT5UCPqbWlgXjogEAHvVcqykFFQ08Y8IWEz/g4ow9VPbfF+piye21PhddA91hZIE1e5PtPk6gp7TIkVZYecvn1lD4tKsnRkfVu623660VjYj2CxU9CIIgCIIgWoGiSi36hHrBSSHDy1NjJO+JVRsNpZN37cDjw1n9hSSDcjOlh8HIYspHBzF99SFkFFdhxbbLmPkJzbq3BkmZpYhctBWTPzwIAJgfH4VY0ey7vQzt4issL57R0+Z2ceHeUGv0+OdPZ/HL6awGHbuoUgs/d2fhNe/rMTLaH84KGTxVChz9z3i4OcmhlDNwc5IjzMcFV/NsFz0oTtk+PFVNO2jvF1Z7rfHf5+pGFD1Kq7QI8nRG+soZcHWS4/zNMpy6UYJNJzJw3JQm1FwUV2rh5iRHTLBnvdtaSzQiOgZNWy4kCIIgCIIgGkRhRQ0CPbhB5LAoP8l7Xo2YkRwexcXbPj8+GqHeLsJM//KtlwEAj8dzM6F8Ww0AJGXVKjySMkuFJBCiZdhxMVfyuou/m40tG8amJ4c3aLu4CB9hOa+8YT4OGp0BrqJinJ+7MzY/NRy9O3mCAadUcnGS4+KyqcI2CzcnWTXX5clX1yDIs+VaIdoLuy7l4bkfT+PU4kkSBZdLI4qhtjjx6kQoRClQ4b61qTCFFTXwFxW46qOsWgcvU+vN46O6YPXeZNzz2RHh/fSVM5rgjK1TUqkV1Ec/PzUc935+VHjvnXuk0cqMqY2ws68LiI4FlbsIgiAIgiBagQK17YFFgB0DDp5wP1fsfXEM/jWxOwCuxYVXjPCFD7VGh1d+qzWZ/PpwmrCcnE9tCC2Nq1I6iO3s27A40ltF7LmgMzRMbVGtM8DF7HwHR/rC1UkBFye51QF5sKcKRRU1MBhZXMwuw5Zz2ZII25d/OQcAOJ5ahNv/exgzVh+C3mA9SGYgKQAAIABJREFUdaYj8c6OK9DojMgqqZa0KTVle4ufKIEHACL83LBoGqc4m/bxIbuOJS56zBkR2STn1xAyiqpwMbtcUKkMiqxVOq2ZHYdZgy0Tr3b/32j8taBpWsiI9gMpPQiCIAiCIFoYtUaHfHUNugRYn9kfLHp4t4cos4QXN2cFKkXpGjeKqiTvi00ma2xEnBLNQ5VWj/d3XWuVz+4quu70Rtvf+4FrBQj1ViHAXYVqrcFurxl/dycYWc53gTcuDfCoLegdNKlA5m84iXKT90xSVhkGipQoHRG+8COXMSis4PxepvcJblALR0Mx9xECgGjT/aPA5DGjNxihM7BWC1rbz+fA29UJi38/j5SCSkzsGQgAdilEbgW9wYjR7+4DAIzpHiCs//3ZkZi7LhFDuli/h0YHelhdTzg2VPQgCIIgCIJoYUqrOJ8NsaJj4eTueG/nNZxbMrnJevd5g0wAGLlyrzCTaw1KeWlZMoqlBSi5lUFoc8GI0oL0JqXHR7uvYWCED+K7cQPIwooazF2XCACICfYAwzDwc7evvSLApCi5mF0urCtQ18DDWQF1jV4ogJSLzHb5QX5Hhlff6I1GbDiaDgCYN6JLkxz7zwUjbSb7jIvhChdKOYNTN0qEFhXz9pTIRVst9hUny6iUMmh0Rrg7K2Csw7dFZzDCYGQlCSsNRdw2pRD97vTv7I2kNybbfTzCsaH2FoIgCIIgiBZEqzcKgw6xXH3B+G5IXzmjyc0KeW6WVmN9QprV92RM3RGnRNNTrZVGg/7+zMhWOY8vDqaiQF2Dj3ZfxyNfJ6KsSodqrQGDlu8WtrmSq4bGSntLffi7c20HfPGER22Kyy1Q11j8OzTUY8SR0ZmUHtVaAxLTihHh52pTuWAvfcO8MTLa3+p7chmDMd0DoDOwEk+OIlEhytwYmcdLVPQ4+NI4HHhpLObHR6FKa7DZsjRvfSJiXtvRmB8D2aXVwnJaUculxRDtEyp6EARBEARBtAAJyYVYn5CG7ou3CxGx7s7NG6EoHogAwOkMrp3l4tIpkvXuzgpU1DSu6FFRo8ebWy5hp5kpJ1E31TrpYL+p40jt4edTtQkupzKKhRhQMVVavd1FD29XJ5vveaoUMLLApZxyyfqcMip68P/+d316BCfSS9DnFhJ97MWa4OhqrhoZRVW4WVottCSZI77XBHqqEOHnBnfTNW3t3sKyLBKSuWQXXSN8XIpMkd+h3i54bWYvu/cnOhZU9OjgaHSGOnPcCYIgCIK4dbJLq/HQV8ex9K9LAIB1JsWF2N+gOTi5eCLWzRtksd7NWYG5wyOE1x4qJco1OvyUmIHvjt2w6zNe2HQWXx9OwxPfnYLeYMTMTw5hxupDFEdaDzU6bqC37I7emNgzECHerZdi8tOJDGG5tEpndTa/pFJnd3pIeB3GrLzp5F9J2QCAl6b0AAB8tj8FuWaFj/TCSuy/mt+owXF7xPzR/M7+oS322XKZ5fDwcHIhRr+7DyNX7sWCjWcAAJ8+FIfowFoPIXcrfi98Ic+aiuyMyE9I3P7UULR6IxQyBgmLxmNcj0C79yc6FlT06ODEvLYDz/xwqrVPgyAIgiAcjgs3y4SB/4n0Ysl7V3LVAIBI/+ZN61DKZfB1kxZWFoyLBgAsvSNWWOehUkCt0WPRr+fx2u8X6jwmy7JY+tdFbDnHDVZ3XcoT3ruUU44LN8txMbscZdXkEVIXvNJjSBdffDV3MJwVTRdHai83S2pbBYoqtCirsvzutAaj3d4LLk5yC3+F8TGBkMsYTOkdBAD45kg6AEgGrj8mZkj2GfvefsxbfwKf7U+x6/PbK2Ij19hQT0zsFdRin/14vNQ7JCbYA7+czrLYbnqfEOz+vzFCCkyYj+W9zLOOoseDXx4Tlu9ck2D3eeoMRjgpaChLNAy6Ugj8fTGv/o0IgiAIgmgwR1OKMPOTw9hwlFNN5JdbN2dsiYFujyAPDI/yw+BIbiAllpr37uSJ8TGB8FQpJcULWz34LMviye9OYX1COhZuTgIARPjVDnZe++OisMzLzwnr8F4W9raMNDV9w7ygN0kLXJRynM0slRiLxoV7C8uudio9AK7tYc+LYwAAy++Mxdo5g5C8YhrGms3ORwe6Y1wPzkT1eFqRVSVySkHHiFWuFP2OiuOFW4JhUX7Ya/q+5gyPQGyoF/Js3L8A4PgrE/DtY0OEIpYYvn3Pmkmy+fdrrzJMq6eiB9Fw6EpxUNQaHb47dqNOGaCR2loIgiAIoskpq9LhTGYJAOCSSbadr+bk+o+P6oIJpoSExFcntMj5uDjJ8eMTw7D0dk7ZwSc0AMDW5+Oxbt5gofeex5ZKY9elPOw0FUf4iFvx4EUcgVtUYX/RI62wEpGLtiIxrbj+jds5vNKjtYoe6+cNxivTYxDhVxtf27+zN7aez5EYV8aK/CQa6zvSNcAdaW9Px8PDIiCXMWAYRuIBcXnZVDgpZFg7h2vFOpZajK6vbAMAZIpSbuyNzG3r7LqUh7RCqQlnRY1e0u5R1AppNlEB7khfOQPL7ogVlBxitjw3SlhWyGUY0z1AkgjE4+PGfcd5aunPUFGjh97I4rZ+nYR1KQX2mZFqDUYo5TSUJRoGXSkOyvHUYrz2+wXsvZJv8V6N3oCkzFLhYYUgCIIgiKaj37KdWLXjKgBAqeAGAvnqGoT7umLxzF74au4gXF8xrcVncHt18kTyimkY0z3A4j3zwWyJlfYGACgQDcD83JxgNLI2VSzFlfYP1h748igA4JdTlnJ6R0NjKnqoGqGeaArGxQTiidFdBU8NAILB7h9na9eJTTSt+TY0FPNBMd8q0yfUS/AKUchliAn2kGwnTunYeFza9tKeKavWYf6Gk3j6e2mb+RcHuBYe3g8lXFSUag3Evh08sQ00Vu0WyH2XaWYFDd6zJbaTp7AuOd+2iqesWofnfzyDD3ZdQ5WWU8Fo9SycqOhBNBC6UhyU/iYporkRFAAs+fMi7liTUOfNhSAIgiAI+zmdUSJ5rdNzKoi8cg0CTaalDMO02gylwsbnmhc9Pt2fbHU73nzzvoFhKKzQ4q5PE6A1GHHXgFColNJjv/v3VbuNJ/lii7WBlqMhFD1a0csDAKb2DgYATOwZiM8fGQgAyCrl1BXnl0yWDHDrMiZtDGdem4RNTw6TrNv2fDymxQYj1NsFAFBs1iZVaZYEYjCy7dKUn39Gv5Krlvye7L/KpaOolDJsez4eb90Va3X/lsLfXeoJFN/NetytNZwUMniqFBYF0D2XObXYoEhfLLmNS17JKLat9Oi3dCf+TMrG6j3X8fUhzgRaazDCmdpbiAZCV4qDwj9MWXvYOGOKqyuooEgwgiAIgmhKxFJ8oFYZka+uQZBn66Vz1Id528Cvp28CAM5klOCDnVeF9aXVOjAMMMjkD5KUxSkDpvQOxpU3pyHpjcmC9D2loBKbTzZcsXEstQhakwrVmgeAo1GtM0AuY6CUW8kIbUE+fSgOl5dNxVdzB6N7EDczn1lcDQ9nBTxUSom6Y2iUX5N+to+bE1ydpNeeTMbAz91JKApdz68AwwArTIN/sfIDAEa9sxddX9lm04emrSIu5vDP5kBt29ODQ8LRq5MnPFTNG2tdH16utZ9/bslkoQWpofi4OVkox97efgUAp/KZOyISchljs6VOYxbtzIrWk6cH0VDoSnFQ+D+geiuVb94nSCtqb2lvfygIgiAIoi1iPuO890o+Tt0oRkF5TbPH094KYp+vu+NCEeLFFWju+vQIVu9Nxse7ryN+1V6s3nMdniolQr2lM/5dAzgJvpeLUqIMUMjqH9AfSy1CakEFfhC1LpRbSXtwBPLKNYhctBVHUgpRrTXCRSm36oXQkshkjNBe4uZcqzrpZWo9EA96WwoXpVwY/GeXVsPf3VlolcgxKSSqtQZklVQJr389c7PFz/NWKKmqLXpkFlfhg51XMWj5bmQWV2HWoM6YNyKy9U5OBK/uifRzhadKaX+Cj+i7BGrvkcOj/OCkkIFhGHiqFDiWWowei7fjpllRy9y89osDKdDqjajS6m+p3YroWLTalcIwzDoAMwHksywba1rnC2ATgEgA6QDuZ1m2hOH+GnwMYDqAKgDzWJY9bdpnLoDFpsMuZ1n2W9P6gQC+AeACYBuAf7Isy9r6jGb+cVschSlj21oxw2iqeog9PTR6I9ypL44gCIIgbgmNqf3jyTFRKFDX4NfTN3HPZ5xPBV9IaItU1NQOSqL83fDr6ZuSmdcPd18TlgM9nNE9qLb9ZGLPIJvtKK7OdQ+QLtwswwOi6EoeaxGXjsDBa1zrwk+JmXBXKeweQDY34labTqb2Ek+T0uCO/p2s7tMc8ANllmVRoK5BgLuz8PuTW6ZBuUaHvkt2SvY5kVYMlmUxa3B4i53nrSBON/r1TBYSkouE1z1DPFq9GMbj7+6MD+7vh8GRvo3aX6WUQ6MzQK3RwUOlxPFU7ue8d2CYsE2wlwtO3eCGY39fyEWvTp6o0OgxsVeQYPT614JRuO2/h1GpNaD74u0AgNFW/IkIwhqtOcr9BsBUs3WLAOxhWbYbgD2m1wAwDUA3039PAPgMEIokbwAYCmAIgDcYhuGDrT8DMF+039R6PsOh4JUeOoMVpYfp/5WiBxzeFIggCIIgiMbDS7GfGRNtMQvZ3cygsS3BD2g3zh8qzPD/mGjdNHJghA8CPVVIfHUCzr4+CV/NHWQxQBsZzbVB8EUgW3xzJF3yemLPIHQLdHfY9ha5SfkiYwCN1mDhg9LayETKHLESIXnFNHw0q3+LnYfKSQ6W5SboCitq4O/hjEBPTim1cscV3PnfBIt9Np/Kwsu/nG83z7QlpqLHuB4BkoIHAAS0sMlxfdwdF4bOjfRzUSllOHS9EH2W7ERumUbwPRIXUXqLDE2XbbmEB748hsc3nMQ7O65gwcYzAGBVKZdRZF/iC9FxabU7LcuyBwGY55HdAeBb0/K3AO4Urd/AchwD4M0wTAiAKQB2sSxbbFJr7AIw1fSeJ8uyx1gu9HmD2bGsfYZDwTAM5DIGeqNtpUdFTe0DhbXiCEEQBEEQDYdlWWj0XNHDWSnD9D4hkvfjoxtuANjSDIvyQ/rKGRjR1R/jegTCSS7DSlPfPSA1sAzz4RQAgR4qeLtaxlkCwIemAbJ5P745vOx9Rt8QJL0xGV/NHQQvF6XDKj34okdFjR7VOkOrxdXWxSvTYwBA8PcAOAPcllQe8P8uGp1BUHo4m1QoxZVapBbaHuwWqu2PSm5pSiq12HkpFx7OCvi5Ww7m+QKPI5CcX/tdncsqxXs7OdVYuF/tPYW1MQz5bH+KsOzlosTrM3thzew4zBrUGQDne0IQDaGtNUIFsSybY1rOBRBkWg4FkCnaLsu0rq71WVbW1/UZFjAM8wQ4ZQnCw9vfL5VCxkBvTelhWiV+oNBSfC1BEARBNJoPdl7F6r21iSfOCplQSJjy4UEUVWptJqe0NRiGQc9OnkjK5MwV7x8UhlX39sOh6wX4/tgNPB4fVe8xVKJBa12UV+vQv7M31syOE9Z5uiiRr3ZMs3X+uUyt0cPFSS54abQlnhjdFUO7+CEmpPWUSXzRo0prQEGFdT+cAA9nFKhr4OWilLRiFVTUSAbUbQ2jkcWAN3cB4NJNzNNpAKCLf+vG1DYlwV7OKDQZOh9LNZ/v5uAnaV+a0gPv/n3V6jYuTnI8NqoLAGBSryDMGtIZceE+VrclCHPaWtFDwOS/0azyg/o+g2XZLwF8CQCDBg1qd1IIpVxmVcHBKz3ERQ97I+UIgiAIoqNz4WYZeoZ4Qi5jsEY0IwlAMiv+13OjwKJ9PUaIoyBDvDhlR3y3AMR3a1gPPe8NUV/Ro7RKBz93qVrEy0WJpMxS6A3GdlMoaii8iWNFjR4M0/pxtbbo19m7VT+fLwbllmugM7DwN10jfzw7Enes4Vpb1s8bDF83J7g5KZBcoMZb267g1I0SbD6ZiYERbXcwfCG7TFie2TcEQZ4q7L2Sj4k9A7H7cj4GR/pYxMS2ZzY/OQJXcstx16dHkFXCpVt9+9gQyTYvT42Bs0KGf4zqgm6B7riWp8a6hHShIDS2h/S+46SQUcGDsIu2VvTIYxgmhGXZHFOLSr5p/U0AnUXbhZnW3QQw1mz9ftP6MCvb1/UZDodCbr29hVd6lIuq4qT0IAiCIIiGk1umwcxPDsNDpcD5JVPQI8gDl3LKrW7bHmMVxUUP10aoEZRyhvOtqMfTo6RKa2GCOjzKD7+duYnui7cj9e0Zdn92W0YvKnoo5DJ4ubRuHGlbhVcK8RHQvNKjb1htMlBMsIdQFBsY4YtvHh2MPkt24q+kbKy8p28Ln3HDySzm0kl+eXo4BnT2AQtgQkwgBkX6QmOKMXYkXJzk6BvGFdF2XsoDAIvrvpO3C1bd2w8AMLl3MCb3DoZao8cXB1Px4qTueG5Ct5Y9acLhaGt/hf8EMNe0PBfAH6L1cxiOYQDKTC0qfwOYzDCMj8nAdDKAv03vlTMMM8yU/DLH7FjWPsPh4JQelg8b/MMLH/EFAFpSehAEQRBEgylQc3JttUaPbxLScCmnHC9PjcFrM3th9YMDWvnsbp0bRVXC8u2NSO1gGAZGVvqsYY2yKh28zSJRp/UJBgAYWS6esjlhWRapBRUtpng1mCajyqt1SMosRbZZPCfBwbe3vL2N85UJNBl7MgyD12b2wn9nD7BQAXmolHh1ek9Uag3IK9eAZVn872QmZn1xtM20S6UUVODZjacBAF0D3CGTcR58g0ymniqlHEoHUzcBnJeNuPgb3gBTVH57UqMTTUFrRtb+CE6l4c8wTBa4FJaVAP7HMMw/ANwAcL9p823g4mqTwUXWPgoALMsWMwzzJoATpu2WsSzLN4s9g9rI2u2m/1DHZzgcShljtb3FQ8V97eIcbFJ6EARBEETDESdbLPnrEgAgOtAdk3rZtAprV2QU1xY9+PaWxvDL6Sy8f38/q+/pDEaoa/TwdpG2t3iolPhx/jA8uPYYvjqchidGRzWbiean+1MED4H0lc2vKuGfy0qqOLWtp6qtia7bBuL2FgCICqj1uPiHydfBGoO7cMWDoW/tgadKgXJTK/eQFXtwfcW0Vi8oLPnzorDc0VQ+Lko5tHojpsUGw9fNugGyGL4QxKtECOJWaM30lgdZlg1hWVbJsmwYy7JfsyxbxLLsBJZlu7EsO5EvYJhSW55lWbYry7J9WJY9KTrOOpZlo03/rRetP8mybKxpnwWmFBfY+gxHRCGXQW+lOspLBsWzC1RFJQiCIIiGIy568DTkQb69MCDcW/L/WyFy0VZsOmEZf8v/G/q4WQ7+hnf1w9t390GBugY/JmZCrdEhOV8tvG8wsvhg1zXklDVeKXEmo0Rimlif/0hTwHt68Ky6t+22YbQmNaK2qMdHdUGQZ8MiXGNEsdDlZglA//rpLCIXbcWKrZea5iTt5ER6MQ5dL0SAhzO+fGRgi6bhtAV4pXn/BvrFjOkegCOLxmOigxSSidbF8fRThIBCzkBntFR61JhUHXrRe6T0IAiCIIiGU2Iy2BMbJvq7O07R4+enRmDxjJ7YYGY4aA/i2fm9V2ot1EqrtPj6cBqu5HBFDD4C1xxeNfPKb+fRZ8lOTPzgIIpMKRAv/3IOq/dcxzM/nG7UubEsiznrEgEAU3pzn3MstahRx7IHvdlzWXRg6yWktGX6iLw7Zg3uXMeWUlRKOSJEyS1Tewfj1OKJAICt57nwxrWH0lClbflI5Ps+PwoAeGFid0zuHdzin9/a8Cobe4rDnbwbrzIjCDFU9HBglDLrSg9rBY5t53NJ7UEQRIfl3b+v4MdEy5logrBFcZUODCM1/HQkpYdcxuDx+Ch4qBovwfcT/XukFlQKy2v2JePNLZfw2Ddcd7Kt/n5rCRb/2nQWR5IL8fOpLABAXj2eIbY4mloEtUYPD5UCy+/sAwC4mF1uNT60KeE9Pf49tQd+nD+sWT+rPePlokTKW9ORsGg8ugXZVxj64P7+wvLIbv7wc3fGxvlDJdvcLGlZL5Vc0XVqLX63I6CUc8oWR0qmIdoPVPRwYBRyRsiDF2Ot6PHL6Sys2nGlJU6LIAiiTVFUUYM1+1Lwn1/PI72wsv4dCALA6j3XwbLAiK5+wrpbKRA4Im/d1Qf+7k6Y3CsIaYWV0OqNmL32GNYeSgNQq3oI87FtasirZ/a+OAYAcOh6oZAAAQCFldoGtaX859fzEj+Fg9cKAQCrHxggFKve/fsq4t7chUKTmqQ54H/mp0Z3xXDRtUNYIpcxCG3ETP/ACB9sfX4U/N2dMdmkFhrR1R8HXxqHzx6KAwBkllTVdYhGkZyvxnM/nrF6Pc785LCwPCEmsMk/uz3AKz28XOk+SbQ8VPRwYBRymY32FusPB2cySpv7lAiCINocL25OEpZ3iQZTBGGLam3t39Fnx0Xj0ZGR+O2ZEa14Rm2TbkEeOLl4Esb2CITeyOL9XVdxJIVrIREbePJeY9bY8lw8dvwrHlEB7gjydEaAhzN2XMjFsChfvHNPH2j1RsS8tgNlJmNQc85klGDkyr34MTED3xxJx/1fHMXoVftwJqMEsaGeGBcTaBER+sYfF2GyggPAJcjMWZeIE+m3bgPHH1bmYLGkbY3enbxwcvFEiRdIuJ8rRnXzh5NchuOpTW/pt2rHVfyVlI0NR9Ml6ytq9EIhLen1yR32u4/v5g8A8HcjpQfR8lDRw4FRyhjr7S022liqtM1v4EUQBNHWOJVeIiyfvOGw3tYOS7lGhy3nsiXrxAPW5mDZFs4IcdW9fcEwDN64rTcGhPvUs1fHxc2ZK2p8cSBVWDejbwgAYM3suDr3DfZSISbYEwAwulsACtQ1yC3XwEOlRO9Otb4PXx1Otbr/XZ8ekaTVJaYVI6O4CsfTijEkslZpsfHxofjm0cEAOO+HBT+eAQDkqzV4e/sVHLxWgPs+P4qcsmoYrUwoNZTmvTKJ+vBQKdEj2AOXcsqb/NghXlyBhY97Lq3SYvPJTMS+8bewTUdWObw8NQY7/hWPcL/642oJoqmhoocDY097CwBobChACIIgHInD1wtx6HqB8DouwgdhPi6I7+aPvPK6Ze355Rrsv5pf5zZEy/HH2Zvou2QnFmw8gyMpXLvC0ZQidPnPNsS8th0VNc1jVsj7v1DcaMPwtNL2s2B8NyQsGi8UPxqCODGnf2dv9Aj2wFBTROkne5Ox57JUqSX2Klt5dx+L480eGi4sj4j2x9gegXjrLm67oylF0OgMGLJij2Sf4W/vxfwNJ9FomrkgR9RPZ18XSSEMACpr9PgpMaPBBa2kzFJJG0tCciF+OM7dF344noG0wkr0X7YLL/18TtiGb9HqqCjkMqGASRAtDRU9HBilXGZV1VEjKnrwsxoAJbgQBNExePjr43jk60RhQFRarUMXfzcEeaqQV27bFPFanhpD3tqDeetP4EhyYUudLmEDg5HFP386K7yevfY47lyTgAfXHgMAaHRGi0FwU5AvukbiIkjd0RDG9ggQllfd2xerHxyAUG8Xu/0aFk2LEZafGdsVSrkMm54cLqy7lF07e1+tNeCez44AAJbfGYsHhoTjwEtjcX3FNHw0qz8+eygO0YHuFp8xe2g47hsYhuJKLca/t19Y/8H9/YTlPVfykXAL94AOllTa5ujk5YLs0mpBEXYmowTzN5zEol/PY3cD7hkllVrcsSYBT31/Soggfuir45JknnGia4cn0s/NYh1BEC0DFT0cGKVcBr3RspAhbmMZGe0Pd2dupoomHwiC6Eh0X7wdAFBWpYW3qxOCPJ2Rr66xOdO3/XyusDz7q+Mtco6EJd8kpOFantqqiuNsptSbypra0RydwYher+/A2oPW2yPEJCQXYshb3Mz/v6f2QKCHqp49CABgGAYfP9AfU3oHYUafENzer1OjjhMd6IEF46Lx+KguYKxUDhLTi5FdWg2t3oihb+3GuawyAMCwKE4NEuHnBqVchjsHhGJaH9sKk1BThG62KXFj1wujcXdcGOYMjxC22XIuWxjw2gM9arU+oT4u0OiMQlLPXZ8eEbxmrudX1Lt/aTXnH7P/agFe/N9ZyXVwR3/r1/aeF8d0WC8PgmgLUNHDgVHILNtbtHqjRNGhlMuEP+IdNUKLIIiOg3iWnmWBsiodSqt18HFVIshTBYORRZGNyEqWhiutjsHIYslflzD5w4OoNBU9Rkb7YY8N2bhaY93cskBdg8hFWzHpgwO4UVSFKq0BK7ZdrvfzxUa3Dw+LqGNLwpw7+ofii0cGwc351lqCFk7pgcUze0nWbXpiGJwUMhy6XogRK/di5fYrKNfoMTDCBwdeGovoQPsiT8Uz8l4uSiEyddkdsUhfOQMA8GNiJj4/kGL3+bMsQEPf1oVPC5r68SG8sOms5L13/76KyEVbceEmVzArrtRi7cFUSQhAWXXtfeX3s9koN72e3icY793XDztfGA0vFyUmxARiQkwgfnl6BLoGWKqKCIJoOagZ1YFRymWSflYA+DOJM3sbGOEjSDUXTu6BxLRiGEjqQRBEO+F6nhoqpRydfe0zREsvksYUFlbWoKxaB28XJTp5cbO7m09l4pmx0Rb7Fqhr4KFSQK1pHp8Ion7E6g5+UPLA4HCEm66DmX1DoFLK8eCQcNzz2RGbnh7/O5kJgJvVnfjBAWH99vM5VhUA7++8ik/2JiMqgBsMB3k6W/WpIFqHoVF+mDs8QojCXZfA/f/LRwbCz93+CZ0ZfUNQqdVjeJQfvFwsv2dfNycUV2rx7t9XMT8+Ck4K++YQralUiJZjdHcuRaRAXYPfztwEwLU1bTR5cgDAg2uP4dwbkxH35i5u24oaPDsuGizLotTkLXN3XCh+PX0TP57g9ovvFgClXIbuQR44+/ok+p4Jog1BSg8HRiFnJP2FAIRq9KzBnRFhmsmQyRh4uzqhRkeeHgRBtH1YlsWkDw8iftU+7LiQYzWlyhbiGToAyCptMMA0AAAgAElEQVSpBssCXq5OGBzJSeBX7bgKo5HFviv5OJ7KSZ63nc/BD8czoDewmDWoMwDyQWoNKkVFjCe+OwUAcFcpoJTLcOa1Sfj4gQF4775+GGjy2thw9IbV4xy4VmB1/dM/nEbkoq0oUEsNbT/ZmwwASC2oBAD8+szIW/tBiCaH/8783Z2Edb5uTrY2rxOlXIaHhkYgKsDdatHk56dqfUT4NjmeCzfL0H3xdkQu2oqvDlm2TJFirPVxVsixcHJ3ybqlt/eWtF2pNXpkldSanf6UmIF+S3ei/7Jdwt+RJ0ZHAQA+2nUdAODqVBu9TAUPgmhbUNHDgVHIZBbtLfyryb2CJOudlTKJdI/oWGSXVmPNvuRmj3kkiKZAXLh46vvT+OpwWoP2S0wrxvV8tWTd+SzOA8LXTQkvVyUGR3KD5UPJhXj0mxOY9SVnismndVTrDOjX2RsAUFhRd9IL0fRsPpllsY73pfJxc4Jc1DMf6u2Cco3O4r6WVVKFxDQumvjwy+OE9RGiGMVvjqShpFKLs5ml2HouR7L//YPC7DbgJJqfOSMiEd/NH/sWjsWMviF4ZmzXZht4Rpm1KqzZlywsf3f0hlAQXb7VsmUqv7ymUV4gRNOyYHw3XFs+DYmvTsDZ1ydBKZdh6e298ey4rlhyG9c+Fb9qn7B9uUjhtz4hHQDg7+6MTl4qITSgsUU2giCaHyp6ODBKOWPR3sLHa7mIqtEA4KyQIaWgEhlm0m+iY/DsxtN49++rSC2sbO1TIYh6Me/BTjIzr7QGy7K4/4ujWLXjKgBgy3OjAADv7bwGAIgL54odK0xxlXPXJZrtz/3fWSFDoMn/aNlfl+xSmRBSfjuThRIb/im2OG9qaRFjq1b76MhIaHRGlFRJ1T27Tb4c8d38EebjioeGhmPO8Ah0D6r1fbiWV4FZXx7FnWsS8O2RdADAvoVj8cr0GAs/CaJtEBfug+/+MRQeKiXWzI7Dv6fG1L/TLbB2ziC8ZroW3v37qqBCSi+S/h01L7ptPmVZuCNaByeFDIEeKni7csUKHzcnvDQlBuF+0rbJ18x+589mlsLdWQE/NydBNe3hrBDUggRBtD2o6OHAWGtv4WcflDLpV69SckWQ0e/uA9HxOJPBDRrLq62b/hFEW2Hf1XzsuyptTbhZWm1j61qqdVIlW5BnbeqGv7uz8ODq42p9po5PwooKcEegJ1f02HExF7+fzW74yRMCmcVVeGFTEp778Yxd+yXnqzGjTwgeEZmIxoV7W92W99/4/pi0xeV4WjHCfV2x4bEhALhC17I7YhHmU6ve2HUpD9fyuBSHxPRi9OvsjS7+bnhidFfy8iAAAJN6BeEfo7pg8YyeAIDXfr8AgLu+xBxOLsSRlEJ8eTBFSAsh2jbmqUyTetaqo2NDPQEAMcEeYBgGH87qj9dn9sK5JZOFZ2mCINoeVPRwYPzcnFFapUW5yL1ebzRCIWMsYrOcRSZcl3PKQXRM7vr0SGufAkFYcCy1CBPe34/s0mrsu5IvrOcTp85llaH36zuQWWxbqWY+2++hqvXxntEnWFj2cZUOaDt5qVBcqcWlbO6+uH7eYElrw8LNSXh0vVQVQtTNpexyLPnzIgBuQGgPpdU6+Lk7oXcnbuDx9NiuUMitP8p08edaED7YdU0w8f5o9zVsv5CLCD9Xi9aHe+LCAABjewQA4K4vXtXjcYuJI4Tj8tjILhgS6YtzN8sENe3kXkGCmuyRrxMxe+1xvLXtCt5qQEIQ0frwhW0AeGhoOML9XPHgkM4YHxOI+fGcj8d9g7j7RbCXCo/ZiFAmCKLtQH/FHZgIP1cYWaC4QivMTOkMLJRWHhCdFbXV6WkfH0L6yhlQa3RITCvGuB6BlC3uQMxdl4jiSi3+Mj2QmWMwspK+eIJobV757TxSCyoxYuVeyfoTr07EqRvFuOezo6jUGjB99SGcXzLFYv/iSq1ksLHluVGSQq84eUE8gH5idBS+PJgquPcHeDgj2IubAZzaOxg7LuYCAPZdLYBWb7Q7waGjMn/DSYk658LNMvQK8cS2CzkY2dUfPjb64lmWRYVGD3dnBe6KC0V2mQZPmowErSFWbjz/4xkMjPDBR7s5w8FR0f4W28eGeglxpGVVOijkDAorajDm3f14YEjnRv2shOMjkzHoGeKBb4/eEJQcY3oEoEewZUzuz9Ta0i7wc6stemSYiulv391XWDezbyd6TiKIdgYVPRwY3kW6Slsr69bqjVDILW/UVVrLWL8+S3YCAEZG++GHx4c101kSLY2t1AKerw+n4onRXVvobAiifooqLCXh+xeOBQAMjPDFhseGYM66RKg1ely4WQZXJ7nEaPDF/50VWmI2PTEMsaFekmOZp7D89MQwhHq7oKxahy8P1qYviBM9Pn9kICIXbRVepxVWWh3kEJZkl0nbkWZ+cljyOnnFNKvqjRq9EXojC3eVAs4KOf5vUneLbcQo5TLcPSAUv5oiKUeaimauTnIhdcEWXibFj5uzAleXT5VMDBCEOcGmuOufTIbH3i5OUMpleOuuPthzOQ8JKYXQGVgyMG0niAsavUyqMlvvEwTRPqBpKQfGxYmraVXragsaGxMzoNZYFjjqCu1ISC7C9Ty17Q2IdsPRlKJ6tzmTUUoPZkSbwjxm9pMHByDS3014Pbp7gLA885PDmPLRQcn2eeW1xYroQGnqAgBozVKuhkX5obOvq8W2z4yVFgPnjYgUlosoyaVB/HD8Rp1/bwDg19M3ra7nWzXtaTX5YFZ/3B0XKlk3b0SkXVJ0KngQ9fHoyEgAwGpTtDHfJjd7aDi+njcYJ16diKtvTsWr03u21ikSdjKuRwB6hXjixUk9WvtUCIJoAqjo4cCYKz2MRtZiRpPnzgGdJK/z1RrJ63nrTzTDGRItzf5rtX4IvKO8Vm8Ew9T6I2y/kIulf11slfMjCHPMTUrfu68fbuvXyWK758dHC8s6syKGs7L2T52fe61smVeL3Nnf8ngAJKZ0C8ZFY+Fk6cPvktt7Y9vz8QAg8U6yRl1+Ix2JV3/jzB7XPzpYaCXheWAw10Ly71/OYcPRdHx3NB3v/X0Vb2+7jDMZJZi7jvs75GGnkSgDaYGDZmmJpkallCNI5APRySzS2EOlhEIuw/x6FEZE22H9o0Ow7Z/x1LZIEA4C/SY7MC5KadGj0koLC4/5rNeM1VK5sbg3mmi/qEQzlpWm6yKvXAOWBZ4VzWJ/J0o7MI/bA4CUggohno8gmpPlWy5JXt9jNmvPM1ekunA1i+S25mMEAJH+bkhfOQNDo/zqPY+ugW5WvY08XTjVQXm19d+H385kYfKHBxC/ap9g3smyLL4/dgP55Rqr+zgyw6K4SMexJnXOlN61qQjdgzzQzaSuef2Pi3jtj4v4775kfHEwFXd9ekQw2Xa301T0qTFRiPBzxcumCNNpsSG3/HMQhDlr5wwCwMWbipVoBEEQROtDRQ8Hhn/w52PUxN4e5viLTJsAae86AMG8j2jfVIgKFXzLAD+TLvZAYFlAbzCiskaPvkt34uvDacJ7RiOLCe8fwCNfH2+hsyYcmfUJaRj//n78fuYmjFbaqrZf4MxCX5rSo862BD93Z6SvnIH/m9QdVVoDNDoD3vjjAo6nFqGkUovoQHdcXjbV7vNzM91HXZTWB9qeLpzqwJbS44VNSUL06TdH0gFw7RuLf7+A53+yL661vVNUUYMLN8sR381f+B6/eGSQkMTSydsF6+YNFrbv7Gu92G6tRakuugV54MBL4/D02K5IXznDao8+QdwqfcO8kb5yBv4xqktrnwpBEARhBhmZOjAupof1fHUNvjqUKul7NyfczxUz+4Zgy7kcRAW4IbWgEgAQ6ecKlVJeZ8GEaD+cySgRllPyKxDq7YIt57goR3M1T9ybu+ChUkKt0ePNLZeEB7mSKs5U8nRGaQudNeGoqDU6LP2LU3L8a9NZHLxegA/u7y+8z6uJXpzUHc+Oi7Z6DHOiArgZ1uNpxfj26A18e5RTLU3sGSjcE+3BSSFDpdYgibgV427yTjqeVoxhUX7wd3fGgo2n8eGs/thyLkeyrb+7EzKLq7D1PLf+WGoxIhdtxZ4Xx6BrgH0D+fbI7f9NQEWNHr5m6SzL74zFJ3uTMTjSRyheJedXoGuAG7JKqhG/ah8AIGHReJRUamkWnSAIgiAIu6CihwPjIupHX771Mv5lGkA8P6Gb1e3fu68fxvUIRKS/G+757AgAYFqfEBxLLRKy54n2jbhQcS6rFKO7B+D7Y5zbfIiXtOhRrtGjXGR6y7IsSqt0+EKUZsGyLGXTE43iUnY5pq8+JFl38FohtHojHvrqGG7r1wlx4T4A7JvZ93HlBtRz1yVK1vOFXHvhr28/d+sxqnzLy65Ledh1KQ99w7xwLqsMH++5jsPXCyXbFlZohQG8mIWbk/DbMyMbdX7tgdSCCnxxIFVQlZm3Hw0I95EoPIDa77yzrysGRvggrbASod4uCPWmVkuCIAiCIOyDih4OjKeZ2ZtGx5mY8j3V5qiUctwzMEzSZ+7mJEd+eQ3OlJbCaGSt9rQT7QNx64CHSoH3dl7DezuvoWeIJ7JKquqdBR+xci+6BXngoCjytqRKZzFrSxAN4UR6scW6wooadF+83fR+CT6axak+utpR9FAprXdtrrq3byPOEvjykYH4cPc1RPrZVheIY1HPZZUBAPZdyYevmxNyy4GN84fi7W1XcP5mmdX9Hd3kdP6Gk0gRFZ0ej7fPzPHH+cNgrC/yhSAIgiAIwgZU9HBgzAsUZdVcW0J9JnDiQayrk0KYnUstrEB0oEcTnyXRUohTMLxdlUJ08eWccoztwbU+Ocll0BqsJ/zklGmQUyY1XkwrrICvm/UiGkHURWoB53PBMLYjs/+16SzkMqbOgoM51uJFGQYYFNm463RQpC9+eHxYndu8flsvsAB+O1MbtVpUqUVRpRaPjozEiK7+FgWPpbf3RmpBBVydFfjiQAoMRtYhU0XOZZUKBY974sKw4q5YSSpOQ6D0BIIgCIIgbgV6kuhAFFZwRQ9Xp7qLHgpR0kGkv6uwXFFDLS7tmS9NbSlLbusFbxepOoNXBf2xYCQ+fqA/5gyPwPpHB0PGAA8NDRe2U5gGZXteHAMASCuUzlBrdAbU6Ok66ahkl1YLPhw5ZdXILbOdTpJaWIk+oV5Ie3sGltzWC1/PHYTXZvZCmI8L/lowStjOYGTtGvSKB9SfPRQHAJA1cwuWt6sTPpzVHzHBlkVhPjkmxGQGHRXghtUPDsDcEZFYekcsQrxUMLIQkkkcjcUmI20AeP/+fnYXPAiCIAiCIG4VUno4OP+e2gOrdlwFwEnHAcDThiGfNbqJlB13f5qAH+cPa1C8I9H2cDYNHB8YEi5I8Xl4k8aeIZ7oGeKJO/pzsaCXlk2Fs0IGJ4UM6xPSoTeyiAn2QLgvVwxbuDkJ9w4MAwDklmkw7O09AID0lTNa5Gci2g4sy2LEyr0AuBjSvy/mAeDMJzOLqzBMdN/Q6Aw4m1GK6X246NB5I2vTDnjD3N3/NxoTPziIZXf0tus8xH4RI7r6AwAej2+ZNIWlt/fGrC+P4aUpPdA1wB1l1VpMNcWjrnkoDvuu5OP/JnWX+OAUmpKyHv/2JI69MqFFzrMl4b2lxMVTgiAIgiCIloSUHg7O6G61iS3XTbGJHmZeH3UR6u2CX58ZAQAwssCsL4/RTH47paJGj0APZ6iUcmFG2sPU6pRVUm11H5VSDoZh8PrMXoLKw1kpF2avAW5GHwAuiOT7TW18W601oKiipv4NiVZD3PrEFzwAYOTKvXjgy2P442xtoe3Q9UKoa/S4vX8nm8eLDvRA+soZmDM80q7zCPbkFBUPDO4ML1cljr8yAS9M7G7XMRrL0Cg//PrMCDwe3wVTY4Mxa3A4vEyRtnHhPnhxcg8L499ZQ7hiQG65pt0bRrMsiyV/XsTWcznQ6Aw4mV6M42nFGNM9ACvu6tPap0cQBEEQRAeFih4OjpvIv6OiRg+FjLFp9GcNmYyxkGynFzq26Z6jUlatEwZgi2f2wt4Xx2BgJJeO0TfMq859GYaB3mSE6m9mXPr+zms4daMEZdU6Yd1/fj0PAPjtTBYe++YEdDZ8QhrKXZ8mYODy3WDJzLDNwqs8bPHPn84ixeTjkVXC3UN6hng2+XnIZAyuvDlVGGQHeapatKUiLtzHqq+ILcRpJGmFjUuYaStU1OjxzZF0PLvxNOZvOIlfTmcBAJ4cY59xKUEQBEEQRFNCRQ8Hxzwa0EOlaFDE6GcPxWHtnEGmY0jbYZIyS63tQrRhCtQ12H4hF9fzuUGnp0qJqAB3vHlHLO4fFIYF46MbfCzz6M7D1wtxz2dH8OLmJGFdqmnw9uGu69h7JR/X8tR2ne8Lm84ictFWVGk5f4grudz+z/901q7jEC2DtWLUYyO7YGCEj2TdhPcP4I41CSip1IJhIBThmhqVUt6uTEE3PDYEAFBcqW3lM2kcVVo91h5MxY2i2oL4oeuFOGSK7B3cSBNZgiAIgiCIpoCKHg6OZdGjYYOMaX1CMKlXkPB6fnwXIfWltLp9Pph3ZDKKrc8gd/Z1xap7+zVoZrqbKTa0dydOFbJuHlcUyy2XmlXe0b8TCtU1KKvSIcMUxWlP0aOyRi+kYCRllmHmJ4eE9/5KysaOC7mk+Ghj8HHYAHBh6RQ8OToKz47rii8fGYh/TewmaS9JyizF6r3JYFm0q8JEc9LJm2vJOZ5mGePbHlh7MA0rtl3G0z+ckqzPKqnGvyZ2k7TDEQRBEARBtDT0JOLgmKs06ourtcWrM3rh/JLJkMsYSRsD0T4oreK+szfvjG30MX5+egTevDMWjwyLAACMjwmykK1Piw1Gj2AP3CytRr9lO4X1L2xKwon0+gd0h68XYvZXx4XXD649hgs3pakWT31/Cn8mZTf653Ak1uxLRuSirVizL7nZPuNMRgni3tyF46lFKKyoQeSirbjv8yPILK6d1VdruOtr6e294e6swH+m94SfuzP83J3xr4nd8c+J3TAq2l9y3DHdA0Bw+Lk5AwBW77mOkw34PWlLGI0svjyYAgDILK5GVICbYF4KADNMZrUEQRAEQRCtBRU9HBy5jMFjI7sIfeMediS3mMMwDDxVig5Z9Cip1CLV5EfQHuGLHvFmA0978HJR4pFhEZCJZue7i9J9vF2VuHNAKCb2DLK2O+77/Gi9n/Hw18dttk998+hgYXn7+dyGnrZD8+7fVyX/byoyi6twMZszpj1wrQDFlVrM+vIYBi3fDQA4kV6CyR8eBMC1trzyGxdL6u1qW0k2LEra4iD+Pjs64jafa3nt6z6TXVaNSm2tAeu4HoE48/okvHNPH2x9fhS6BVnG+BIEQRAEQbQkFFnbAXj9tl7QG43YcPSGXckt1vB0UaKsWt9EZ9Z+uPfzI0gpqETyimlQtEOpdqmpUFXXoLQxRPi5CstnXpsk+MWMjPZDQnIR/jt7AJwVcszfcBIApwhozDW4+sEBGBzpi1mDOiMpqxSphe1rYNjcDI70qX8jO5i++hDUGj36d/bGWRtFqGpT0ki+uga7L3NpLbGhtg1xnx4bjQk9g/DWtstIK6xskLdQR0FcSNyYeAOz21i8a43egPUJ6ZAxwPz4KOG7q9YaMOqdfZJtnx7bFSqlHLMGt62fgSAIgiCIjgsVPToIuaY4yZRbVCt4uShR3oxKj/+dzMSR5EJ8cH9/yUCgtUkp4DwxElKK2qUsn1fn3GrRy5xBkb54cnQUIv3dJIPYr+cOxoFrBZjUMwgyGYP/zh6ABRvPIKukGj1DbJ+Di1IuDKZ5+oR64fZ+XLTpO/f2xfItl/DV4TQYjCx5Qpjwd3du9L58TKo44USt4Qqb4oLHzL4h2HIuBzP6hCDM1wVfHEjFa79fwK5LXMGjk5cKUf5uNj9HLmPQM8QTa+cMAtU7LHl4WDi+P5Zh0c7VFhj+9l7BZNVDpcSDQ8JhNLJ45bfzwjZbnhsFN2fFLV2LBEEQBEEQzUH7m7ImGsXR1CIAtx6JeC6rDAeuFQgDpabm3z+fw+9ns3H+ZlmzHL8x1Ohrf9a0dtriUl6tg6dK0SxFgv9M74kHh0hndVVKOab0DhYKV519OEXIX0nZeOybE9h3JR+FFTU4cK0ASZmluJanxqQPDggFjxl9a30APpzVX3JsPoaZV490ZJwU3C28oqbx6qsx7+7D9NWHJOvMr5OYYA84mRROgyJ98NjILgCA747dEIxs//fU8AapN1RKuV2Rrh2F5Xf2wbwRkfBopO9Sc5BSUIEjKYWSVBk+jnrTyUzBcPjk4omIDfVClzqKXgRBEARBEK1F23m6IpqVf07ohuVbL0PRRIPe3DINIpvxAfeONQn49KE4TG8DJnj8TDYAFFTUtOKZ2IdWb0RCSiF2XcrDxuMZ6Ozr0mrnEm1Kfvl0P2d4uPdKvuR9XzcnYWD154KR6Bvmja3ntkr2NT/W3iv5MBrZNqUIakl0BiO0ei41pVzTsKLH/Z8fRWJ6MTY8NgSjuweguFKLvPIaADXQGYxCykaYjwtuFFXhl6eHIzGtBHOGR6BSq0fXQHfMGR4JuYzBS1N6CF4iU3sHI8zHtY5PJhqCjGGgrtFDozNIlDetQb5ag0e+Oo5sk0rw28eG4MX/JaGwogbv/n1F4u1E6g6CIAiCINoypPToIPAz8U3VK16jN9a/USNwE0XsPvPD6Wb5DHspF3mYFKrbT1zvqh1X8Oj6E9h4PAMAoDe0Xsyrm7MC/5kWY/N9cdoDH4lri5l9Q+BsUjh8vOd605xgO6RSpO6o0NTfcpZZXIVEUzLInHWJAICbJdXC+3mi6OHiCi3mjYjEwAhfPD22K9ycFQj0UOHZcdGCCuTZcdHC9nOGR9zaD0MAAL47lg4Awu9sa1FapcWQFXuEggcADIn0xX9nDwAA/H4mG+mFXHrPrSRCEQRBEARBtARU9OgguDkrkPjqBLw+s1eTHE/dgEFWY5AxjEQifTSlqFk+p6Es3Jwk6VvfdDITVdr2YeSaXiRtZaq8hRaIpuDJMV1xavFEvDzVsvhxs5QbfK+6p6+ktSLES2WxLcMweOuuPgCAkzfaV7xnU/LEhlMAIMRIV2sNeOaHU5IoWTEXs6VeEUUVNbjtv4eF10mZZdDqjdDoDFDX6BHgUf/s/axBnQEAw6L8GvtjECIGR3IJN8u2XMLvptaRloZlWfRftkuyrpOXCi5OcgyL8sOkXkG4WVqNw8mFiO/mL0RYEwRBEARBtFWo6NGBCPRQ3XLyyMcPcP4K6mYaQGv0BkzpHSy8XvrXxWb5nIag1Rvx86ksAADD1KoRnvzuVKudkz3wfg88zaXOsQc/d2cM6eJr9b174sJw/+DOwutLy6Zg38Kx1rcdGIbxMYEoqex48ckANzDlVRvBnioUV2qx/2o+tp3PxdK/Llls/01CGp76vva67RHkgexSjWSbZzeexjM/nEKRqc3Iz82p3vN4596+SF85o8O2GDU1Hz8wQFj+38nMVjmHArW0hS/YU4Wtz8cLr6fF1t6fJ4vu1QRBEARBEG0V8vQg7KJ3J08AwJ7LeRjXI7BJj63RGaAzsHBRyrHt+XhMX30IV3LVuJxTjp4hnk36WQ2hUOTfwbLA/pfGYuhbeyS97G2BjKIq7LiYg0dHdhE8GYDaxJ6hXXxxPK0YsjYSmTGgszdenhqD+waFwcfVCVdz1UgpqMCYHtJUHFenum9PQZ7OOJdlPU7Vkbmaq5YMiMN8XHCztBpPm9rByqq1uFlaDQ+VAp6mtJ4lokJIdKA7wv1crSao7L6cj5ulnEFskKelyoZoXgI8nLHirli8+tsFye9yS7L7stRv56u5g+AjKoDdHReG2FAvhPu6trrvCEEQBEEQREMgpQdhF/wg6vtjTd9z/tFuzp8hX61Br06eWGDyDJj28SGUVdkuNGw4mo7IRVubvBghTsRYcVcsgjxVmNgzCOeyynDoekGTfpY9JOdX4NmNp7H2YCoAYOHPSXhr2xUs2MgNess1Oqw7nIbTGaV4ZFgENs4fhtv7dcL3jw9ttXMWI5MxeHpsV/i7O0MuY9Crkydu69dJuLYaSpCnCoUVWsHMs6Nw/xdH8fXhNADAoyMjJcooADiRXoKRK/diyocHAcDi30cpl4FluUIeADwyLEISNXs5h2uDGRjp01w/AlEHDw2NQKi3Cw5ca557TLlGh31mRsJidl/mjJuTXp+M1LemIzbU0mOne5AHFTwIgiAIgmg3UNGDsIuG9Pk3Fi8XbtB7d1yoxXvv7rxic7/X/+BaYI6lNtz/w2Bk8e+fk3Chjmhc3rfk28eG4KGhXN86L+1+5OtEGI0tbwxaWFGDiR8cwNZzOVix7TJGrtyLxDSuzeHvi3nYcSEH89YlYtkWbmY/0t8NchmD1Q8OwMAIxxrEBpuUCGIDTkenXKOTFPdemNQd7irripicMg30BiPy1dy/zyvTY7Bv4VhwnSgsjKaqx9geAdi7cCw2mhXF7C1CEU0H73HTHNHgK7dfwaPfnMD5LMt7X1m1Dtml1RjbIwBerkpqWyIIgiAIwiGgogdhFwzD4Lnx0ZAxXOGgLgrUNThomq0s1+gw/v39OJFu23hSKecesKMDPQAAc0dECu99fywD287nWOwjPoe61CDmcC0CWXj+pzM2t1GbYkDdnWsHleKCzPKtlwEAOy7kYP/VfCzcnIRqbdMPUnLLNPhsfwrKqnXYcSFX8h4/OPrHqC4AgM0ns3A6o7blY2S04xpM8pHJyfkVrXwmzY9Wb0ReuUZoWeLxVCmFJBtr/HQiUygKdQvyQBd/NzAMYGQB/jeHb3MJ96uNnL26fGqTnj9hH0+MjgIgbbFrKopMx3zp5yTJ9XQ1V41+S3fiSq4aXQPcbe1OEARBEATR7qCiB2E3gZ4qGFkgt54Z9oe/Oo456xJxLLUI57PKkFpQiYe+Om51W4ORFe16/CIAACAASURBVIoIrqbY2gAPZ/zy9HA8NpIb0P95Nlsi1c8srkL3xduF1/yMdkP4/SyXjMCAK8hYS7zg21s8RTPpDMNgUq8gAMDW89kAgKe+P41560/g51NZSEgubPA5NITSKi2Gvb0H7+y4grg3d+FYahECPZyxTWQs2L+zN16d3hMTewZKIibfuacPYoJb3gulpYgN9QLDAOfN1Dr2XAftgcS0YnRfvB1D39qD9MLaRB5edSQueuxbOBZJb0zGH8+OBAAs/v2CkNrCK2MYMGBZFqxJ6cGYqh6h3i7CcZwV1LrQmgwxpbgUVTR9RDavFLqSq8Y9nx3BV4dS8dg3J7BaFP/cI8ijyT+XIAiCIAiitaCiB2E3vJnp9vM5dSobruapAQAPfHkMi349B8DSX4DnYnbtwFVs4DcwwhevzewJANhxMRcPrj0mvPd//zsrUXqIFQ71wQ8elXIZZq89hvhV+8CyLAzG2sGgoPQwax9YfmcsAMBDpUSNXvrzL9tyCXpD03lMLP79grBsMLLYci4H/Tp7o2eIByb3CsLnDw/E78+OhEzGIMhThbRCTvXwzwndcP+gzrYO6xC4Oyvg5+aEnLJqYd3x1CIMWbHHQhHTnrn/i6PC8hOm5KDDL4/DZw8PBFDrzTGxZyC6+LvBy0WJfp29EebDFTH49i8+CpphOJUH/6vDNzAwDIPPH47DunmDmvcHIurFz50zDn3376vILK5CaZUWL21OkvgMNQaWZXFGdJ+8WVqN5VsvY++VfGwVKemig0jpQRAEQRCE40BFD8Ju+Bnh5Vsvo+frOxq0T2ZxdZ3v1yXjZhgGE2K4pJhTN0oQ9+YuDHtrj/B+hJ8rRkX742quGpUNGBQkphUjvYgreuSWa3DhJjcTvj4hHePe248u/9mG4kotSk3tMubeBkGeKsyP74Lk/Ar0XbJT8l5GcRUmmwwkUwoqbqn1gi9ymBPp5wqGYfDlnEGYKoqP7N/ZGxqdUdiXaSNpLc2Jv7szCtS1s+E/neBSTXZcyLGq3mlvZBRZ/xnEqowYU7LRwAhpFPCmJ4cLy0GezoLxJAO+UCJVegDA1NgQjI8JaoIzJ26FSD+uQHU4uRDz1ifis/0p2HwqC5tO3FqMbXm1HjV6Iyb2tJ28lbBoPOLCHcv/hyAIgiCIjg0VPQi78XF1krzmlRENhTfeFMOrKmzx9bzBeG1mLwBAcaUWueUanEgvwT1xYTjw0jgUVtTgZmk1hqzYLci3a/QGzFufiD9MrSwanQGnM0pw/xdHcS2PK0aUinxAlm25hAzTQDnuzV14ZwdnnurmbGkUGe7ravoMrsjw4/xheHhYOAAgtbASao0OE94/gIkfHIBOpPxQa3T4ZM91vL/zqtV/t5yyalRpuX+Lkyb/k05eKlxeNhUepvPo7OtqsZ/5+sm9O8bAlWEY7L6ch5JKLRKSC/HbGe67/v1sNuJX7RP8C9oDao0OyflqyboZqw8BAMZ0l8b5igsVXfzdkLBovOADwSMujLw+s7dkXxa1ChHHL421P8QRsTeKqoT7jL33WnP41q/b+4dizew4ABAUQQDw+cNxkuuGIAiCIAjCEbBu+08QdeBkZpy45M+LWHpHrMV2AR7OKFBbDjrXHkrFkC7SWWm+UCH2qjCnZ4hln/mswVwLx0PDIvDa7xdQqTUgvbASfUK9sPF4BvZfLcD+qwXo5O2Ch9Yeh1ZUgOgX5oUkKwkGDcFDpP64Oy4UQ7v4YkC4N2KCPbH49wtC7CMAXMwuR//O3gCAzw+kYM2+FADA5F7B6BMmjYMc/vZeAEDSG5OFdp1fnxkJFyc5hkb5YvflfImxqpgQL5WwHNvJMmbSEblmaqEa8OYuwbNCzMDluzGpVxCeHtu1Tc9ebzqRgZd/OQ8AeO++frh3YBhYloXapFz699QeeGV6T+gMRqsRorYGqlueGwUAkn0Yhhs888NnWQdQBLVnZDIGeiN335KbpanoDUbklGnw3I9noNEZsP2f8XUqvPj7caCHM/p39sZz46Px8LAIaHQGhPu6dgh1GEEQBEEQHQ9SehC3zLdHb0g8OXjKq3UQP0N/8QjnQeCskFn0pmcWV8FJIUNMsG0DvUBRXO5/Z3MRrHwx4ZFhEdg4n4vcvGNNAqJe2Yalf10Str/v86OSggcA/Gc65xUSG+qJ80smI9KUXvHUmK4AgPsHhSFh0Xir5zLO1G7j7qzA+/f1g0zGQKWUC+tf2JQkbHvnmgQheeZkeomw/uvDqZKZ2w92XROW+y3diU/3J8PPzQnBpmLGgvHd4O6swMhof6vnxG83ONKnw0RN/t+k7sJybrkGDAN88+hgvHVXH2H9rkt5uPvTI61xeg0io6hKKHgAwMLNSSir1uFsJlf0WjyjJ3p38kKPYA+rBY+6iA31stiHb2/hI5dpnNs24e9HWr0RWSVce6D5V7VwcxLiV+3D2cxSXMlV498/n7OpBvnqUCpmm4ykw3xcoFLK8eLkHgjyVCHCz40KHgRBEARBOCyk9CCahNlrjyPpjcnCa43OgBq9EQsnd8e4mED0NikP4sK9seVcDradz0Hq2zOE7fPVNQj+f/bOO0yO4mjjv7475ZxRREiAhBAKICRQQBkQCJCQQGSTsck5Y0w0ORkwGfNhcsZkG0y2yUnIRJGjyBkU5vujam5652Zn5qQ93epU7/Psc7cztT1vd1dXV1eHad00dbDevW20fWPqoG5MHdSt4H7SCog+nVrwzU/z+erHwrcgrN6tNWv3bs/s4zagcWUFjasqePiQ8dX3D5/SPzW/bZo14t1TNq5xvXvbZvTp1IK5836kd4fmvKtnMux5zfPct/8YnnrnK/YY24dLHp3L7S9+zD/nfMarx8vrQf23J4Bs+fH33g/p2ZbZx21QlFOTqkr+ecB6tGneqKhMQ0N89c8de41iUA8JhP3w63xOvue16nu/zF9I00aV1QfNVlWWR8z35Y+igyWnDurKXS9/wgX/fqv64NENVl+h2E8XC7K9JVrpYUPd8sSAbq2r7cfDr8urv8M38YC8evb2Fz8u+M1Nz33IqJU7Mm1od+II344FxVcGGQwGg8FgMDREWNDDsETYaI0VuOeVT/n25/n8tmBR9daXl3XbSPPGVdUBD4C2eh7Iothk5Fc//lawjz0JzRpXcsgG/ViwMHkms33C76/ZdQS/zF/Ex9/8zICurfnk219YsGhR9cC42FaRJcFqXVszd96PzF8YsELrptWv9t3wHDmfYVTfjrz2yfc88sY8fvxtIbM/+rb6bQ0A+05cpToAcuqMQbV69irL2asmx/frzP6TVuGcf73J7V7AA2D39fqy+3p9+cdLH7PPdS9w54sfs+XaPZl41iN8/M3P3LPvmKVSXr8tWMTuVz/LbmP6sGavdvy2cBFtmklgav7CRex97QsAvH7ihlQ4xwdf/8wlj86t/n2XhG07S4JwpUf1mR42w1+WOHXGILZYqyc7/e2Z6ms3Pfchp28xmF8XLCxYHTRrWE9ueFYOOd3/hhdp0aSq+tXaIKvfQuwxto/VucFgMBgMhuUKFvQwLBY2H9qdW1/4iPO2Gspbnz/GG5/9wBkPvM6RumXkD3+XV2u+H3uDxtx50dtMeh9+N08fNZHOrZry9U+/0allE7Kw1/iVi97r0a7wgM9dR69E1zYyoxnOmmcFVkqBlTvJ6x47tWrCTb9fl4WLAvofI2+5Gdm3A6NW7sjgHm258+WPOeb22Zz/0Fuspm/g+OcB67FKl1Z89u0vtGpaRYccZbI8wznH/pNWZf9JqxaVCQd/sgWrJ+/p7Pnksx+tsVrnyx9+Zf7CgE+/+4UOLRpz/TPv8/KH37L/pFVZa8XFOxNk9sffVp8tM3bVTjzyxjweO3Q8P89fyJ06Uz+0V1uaVMnbVX637ooc+EG0+iN+hs6SosI5DXrY9pZyRqumjaq3y/n4+3/fK3iV9ZlbDGajNbpy6sxB9D78bgB2+79nadW0iu9/WcC+E1fhJdWnZ46aRKdWZlMMBoPBYDAsX7Cgh2GxcNrMQRw9dQBVlRWs2asdb3z2A5c8OpeB3duw6eBudGrVhC9//I0RsQNLd1+vL0feFs1QTjzzEV784/p8/eN8+nVpXTJ+5209lE0GdS1ZerXBnuP7MrZfJ1bv1ppGlRU0qoTHDxuPc656WXmb5o3Yfp0VefzNedz36qfc9+qnQLRS49SZtVvhYSiOpo0qGd67PVf95z1e8IIJAJc//g47jexNRYXj25/ms9aJ/0pM47E3v+CFYyYvVtDsybe+qP7/kTdkm8KY0/5dfW1Iz7bc+oeR1d+nDOzKgTfKmTCnzojOJikZHCwKbHvLsoLTZw7imqfeZ/KALpx+/+sFAY+WTarYfM3u1Ss3HjxoLJc//g7XPvV+9RuxwlVj5241xAIeBoPBYDAYlkuUx6Z2wzKHqsqK6u0kx24SvQ5z3+te4Ptf5tO7QwtaNaliyhqFgYeth/fk77vIgaNd2zTl+18W0PfIe/jom59p36J0Z1FsOrhbvS3hblJVyZq92lXP3IOsQknaR3/0xgOq/z8gZbWCYckQviUn3HY1Wg+DPeGuOfQ58h5+mb+QZ96t+SplHxc98natXhm6YOEiTrhrDmc88AZtU85ZOXj9fgW62qxxJYdP6c/RG6/GrLV75X5eXjgofGWtLfUoa2wxrCe37zWKLYb1qHHv9r1GFtRf304tOXn6Gvx585rBMn+7i8FgMBgMBsPyBFvpYVhiNGtcWfD99hc+4pPvfmFIr7Y1ZJ1zjF6lI++esjFz5/3AhDMfqb5XirMLrtp5OG99/kO2YJmgZ/vmnDx9DXp3bM7IvslvZTEsOSb278zlj7/D2FU7MaF/Z7YZ0Yu/PPgm5z30FgDPv/919QqkxlUV7LFeH7Ye3osn3/6SIT3bMOmsR7n40bncO/tTztpyMN3bNaveOhXHtz/NZ9MLHq/eRgNw2oxBfPPzfD76+mcmD+jCm59/z7p9OtK6WRXNG9c0w+EbhOoCzkGwiOqjTJeTF/0s8+jcqinHbjKg+q1U04d2p0/HlomyWw/vxX2zP+XJt79gvp6BlKRnBoPBYDAYDMsDzAsylARbD+/FdU+/D8A1T73P1z/9xqqdO6X+JjxnI0Qp3lIxdtVOjF01/bnlhm1GlH4231CIkSt3rHF+x4Hr92OX0X0YfPwDbHOpvMpzQv/OXLHj2tUyM9eS2fWD11+VMx54g/e/+omZF/0HgCt3Wpvx/WqeuXD6A68VBDwu2X4t1o/pdm1fPVtKVDjHQhZVHyZsCz2WHazdW7YLXrvrCEYWeXV1iKt2Hs73v8zn8FtfYfcxfZYGPYPBYDAYDIayhAU9DCVB62aiSq2aVvHap98D2Ss3nHO8ddIUPv7mF3q0a5b6ulqDoS7QpnkjBvdow0sffsv0od05cdrARLm9J6zCOn06cMLd/6s+FHKnK59hv4mrsO/EVahU3V2wcBF3eK8RDQ+mLSc4R8FBpnaqx7KDgd3b8NZJU3K/brlV00ZcsM2adczKYDAYDAaDobxhQQ9DSdGzXXPmfPIdQK5D86oqK+jVoXmmnMFQV7hj79G55Ib1bs8de40C4IdfFzDw2Ps598E3OffBNzlt5iC2HNaTSx6by/e/LODEaQNp0aSy7AIeAA5XcJCpxRqXLeQNeBgMBoPBYDAYBOY9GUqKbt5hnfamAENDRcsmVdyuARCAQ29+mfe//IkL9IyQqYO6Mn1ozYMnywHOhQeZhq+staiHwWAwGAwGg6HhwoIehpKiRzsLehiWDwzp2ZZ3T9mYy383DID1Tv83P/62kHNmDaFt89q/2nZpQra3yP8W8jAYDAaDwWAwNGRY0MNQUviBDj8AYjA0VExcrQuHbNAPgL6dWjBljSU/kLcuUeFc7JW19UrHYDAYDAaDwWCoU9iZHoaSosIbQXVpteSvoDUYlgXsNX5ltlq7Jy2aVNGkqjL7B/UI54CCMz0s6mEwGAwGg8FgaLiwoIeh5Lhw2zVZFAT2NhbDcoUOLZeN7VwOWBTAouq3txgMBoPBYDAYDA0XFvQwlBwbrdG1vikYDIYicM4RENj2FoPBYDAYDAbDcgE708NgMBiWI+juFtANLra9xWAwGAwGg8HQkGFBD4PBYFiO4JwjCGSLi3yvXz4Gg8FgMBgMBkNdwoIeBoPBsBzBOTnPI3plrUU9DAaDwWAwGAwNFxb0MBgMhuUIYYgjqN7eUn9cDAaDwWAwGAyGuoYFPQwGg2E5gnPY9haDwWAwGAwGw3IDC3oYDAbDcgRH+PaWoPqKwWAwGAwGg8HQULHcBj2ccxs65153zr3lnDu8vvkYDAbD0kBFBdXneYCt9DAYDAaDwWAwNGwsl0EP51wlcAEwBRgAbO2cG1C/rAwGg6Hu4XAFB5naK2sNBoPBYDAYDA0Zy2XQAxgOvBUEwdwgCH4Drgc2q2dOBoPBUPdw8N0vC3jm3a/CrwaDwWAwGAwGQ4PF8hr06A584H3/UK8VwDm3u3PuWefcs/PmzVtq5JZFjF65IwBr925Xz0wMBkMaOrVswrzvf+Wap96nqsLRulmj+qZkMBgMyw1W6dyyvikYDAbDcgcX+Ju7lxM452YCGwZBsKt+3x4YEQTB3sV+M2zYsODZZ59dWhSXSfwyfyFNG1XWNw2DwZCCBQsX8eHXPwPQqmkVHVo2qWdGBoPBsPxgwcJFBECjyuV13tFgMBjqBs6554IgGJZ0r2ppkykTfAT09L730GuGJYAFPAyG8kdVZQW9O7aobxoGg8GwXKLKgh0Gg8Gw1LG8Wt5ngFWccys55xoDWwF31jMng8FgMBgMBoPBYDAYDCXEcrnSIwiCBc65vYH7gUrgiiAIXq1nWgaDwWAwGAwGg8FgMBhKiOUy6AEQBME9wD31zcNgMBgMBoPBYDAYDAZD3WB53d5iMBgMBoPBYDAYDAaDoYHDgh4Gg8FgMBgMBoPBYDAYGiQs6GEwGAwGg8FgMBgMBoOhQcKCHgaDwWAwGAwGg8FgMBgaJCzoYTAYDAaDwWAwGAwGg6FBwoIeBoPBYDAYDAaDwWAwGBokLOhhMBgMBoPBYDAYDAaDoUHCgh4Gg8FgMBgMBoPBYDAYGiQs6GEwGAwGg8FgMBgMBoOhQcKCHgaDwWAwGAwGg8FgMBgaJCzoYTAYDAaDwWAwGAwGg6FBwoIeBoPBYDAYDAaDwWAwGBokLOhhMBgMBoPBYDAYDAaDoUHCgh4Gg8FgMBgMBoPBYDAYGiQs6GEwGAwGg8FgMBgMBoOhQcKCHgaDwWAwGAwGg8FgMBgaJCzoYTAYDAaDwWAwGAwGg6FBwgVBUN8clgk45+YB79U3j1qiI/BFA5MpJy55ZMqJSx6ZcuKSR6acuOSRKScueWTKiUupZMqJSx6ZcuKSR6acuOSRKScueWTKiUupZMqJSx6ZcuKSR6acuOSRKScueWTKiUsemXLiUiqZcuKSR6acuOSVWVawYhAEnRLvBEFgnwb6AZ5taDLlxMX41r9MOXExvsuGTDlxMb71L1NOXBoi34aYp3LiYnzrX6acuDREvg0xT+XEJa9MQ/jY9haDwWAwGAwGg8FgMBgMDRIW9DAYDAaDwWAwGAwGg8HQIGFBj4aNSxqgTDlxySNTTlzyyJQTlzwy5cQlj0w5cckjU05cSiVTTlzyyJQTlzwy5cQlj0w5cckjU05cSiVTTlzyyJQTlzwy5cQlj0w5cckjU05c8siUE5dSyZQTlzwy5cQlr8wyDzvI1GAwGAwGg8FgMBgMBkODhK30MBgMBoPBYDAYDAaDwdAgYUEPg8FgMBgMBoPBYDAYDA0SFvQwJMI55+qbQ4j64pL13CXhVU7lWxcolr/a5LsUaZQSi/vcZY1vbdMoVTuoy/ZWai6lek5dyBf7bZ72tLR0ZlnAspaP2tZjmoxzrmWedJbkOXn5Oucq8j6rFCjVc+rSP6htuZeq7ZdCZmlyKScsrTzVtZ0vlV5lydRFf7y00llabSlNZmn5M3m4lBMs6GEohib+lyJGaaRzbnpaIs65NZ1zo1Pu59HBFlm/cc71zErEOTfAObdShswmzrkrAYKEA2+cc51ChzDpvsoMdc6tnUEnT/lmpuOcm+Cc22Nx7+dFVj2qTBfnXEeQsiliABtlpNHWOVeVkUamzuTUhzz6O9Y5t3fIJ+F+nvJtFvtNUl1nppNTZn3n3MkpfKc4547KSKOnc65vmEYRvpn1lLNs2jnnKr10Cuo2Z3vLo5t5uLQM/0niounkaZNZZZzaBjSN1HpUmdWdc/0yksrMU5ZMznaSajdVpq9zrlVGOnnKd5BzrneaTBacc6s655pmiOVpt0vMN08fmDPPrcN/UtpkX+fcsAyZqcBdzjmXJJOz7Xd1znVNk8nJdzPg9lAmKdPaDtZ3zrXW70nppPYHOfU3j53p6NurIlwy2xPZPk/zjN9DjvIln83LrMus8nPOdXbOtS12X5HaF9SCyzrOuQ2LPCMX8qSRs+3n6b/yyGTpb57yzVPXmzrnzkh7Vp50yKd7bcPrRdLJow95/JmOzrk2Gelk9gcuwy/KWY95uOSxRXl87SzfKk+/k6dcMvNdVgiCwD72KfgAGyKOxhHAjt71Cu//zYA5wOTYb11M5jVgLFAVlwEmANsB7VK4bADcBxwN/LEIl/7AIuB3KelMAV4CVk2RmQz8D3gOmJRwf2O9dwnwd6BNkbJ7EVgjpVzylG+edDYFXgWmJslk3df/1wNG+89OyFNqPXrl+wJwPXBREZlJwDXAMcCMInX9KHApcHYRLhOAc4B9gWFFZPLoQx793QD4GLgFaJGQRp7yXR+4EzgO2LoIlzzp5H3WXOBBYJUi+jsbmJ5SLhupzH3AvSnlklVPefP0PPBX4NLFbG95dDMPl42BR4BTgGOXoE2mlnFWG8hTj16+3wBGAI2LyOTJU6oM+dpJqt1UmSnAy8CKKbqXp3w7AfOB03w5IpuXx571QuzDQRTpe8jXbkvBN08fmJqG1yb/DZwNHJmiD3NU7r8pdfks8C7wp4Q08rT9DZG+4Bbg/iXgO1nL93VglyIyU1X37gGeAioTZFL7g5z6m8fObAj8F7gCuCQlnTz9TlGfR/neDZwBHFDkOXn1IY/Ny6rLLL9pmub5BuBmoH2CTGpfUEu9eoGYb0AtfJ6caeTtC7L6rzwyWfqbp3zz1vUrwOZJz6lFOnl0bwrwOGLTLvWu+75rlj7k8WemAE8DNwI3F5HJ0x+k+kU56zEPl7x9aZavneVb5el38pRLZr7L7VPvBOxTXh9gGPABsAWwmzasy7z7DmiDDNpH6rWmxBxvYAXEaV9Xv8fvj9YG9U9gVlKjAoYjDs9GwGrAA8CN3v3QCVhdOb8B7JGQzkTgbY9Lo9j9CsTJfQkx/IfhORsqs5o27uH6/TY1PKt75TIB+AhYW681SXhOnvLNk04T4GpgrF5ridfZZd3Xa2O1Dv4DrEuCE5CjHiuQgdccZEC3MnAxhZ1ghZbra4ihPQY4D+jlyUzS+5sAawE3AdvEnjVF9WF34P+Ak+J1mVMf8ujvFMSB3Vrzv2Psfp7yXR8Z6M0C/gicHrvvcqaTR2YDRD+nI073fgn5/guwgf7fFljJ1y1gqPIN6/o6oG0sjTz1lIfvKkh7Gw90A+5HBpkt9f4AsttbHt3Mw2UN4E2kAx+DDCjujqWT2SazypiMNlCLelwJabOj9HtVQr7z5ClLpi3Z7STVbqrMZCToNEa/V8bu57J5+rcR8ATS/o+kMAiQac9UrovWw7+AA6ip43nabSn4jiKjD8xKwyvfV5DBzwzg4gR9WB1pP2vqtTuBPjG5iYh9HQEMRBzm1rVs+xNUZrx+vwtYIVZ2efhOUp0Zq3KnJ5RLX8RGD9bvtyr3uH4V7Q/Ip7957MwkpA+cggxSrwWax2Ty9DtZPk9oQ2YCWwFXAqMXQx/y2rysuszym7ojujtCv1+tZTPIk8nqC/JyGQd8AQzVa80pHAg6MmxEzjTy+Gd5/MVMmRz6m6d8M+ta/56IBuKBjsCaQGegad50yKd7Q5AAwljEtj2OBFKbqcyqWfqgf7P8mfGqM5ORtncfcHhC+87qD1L9opx1ncmFfLYoj6+d1Z4yx145yyWX/pbbp94J2Ke8PmroztX/GyOzTHfizVwgA4k7kM69hzbg61UuNFwtkIhmS6A3Ep2/ALgKqERmaLZAOu+rkcFlO+8ZYSd2gndta2AecH0C7/1V/k1NcyVkiV0LZHBxreanA3AuMoN3rP62LXAZkVO+NvAZ2sHqtd7A39BIJtAVMdxXan4aIRHR+4Cemubf9FmX5S3fWqRTpb+boMbpYcShug8ZMGbdbwzsggyu9gTuRZzwuBNQtB49mfHA8fp/P+B94FQtGwe0B/4BbKIynYCHiDrYZlofm3l1fwRwsPeMzsgMw0b6fUXEKR4f14U0fcijv0hH8TwwTuWnI05vn1qUfwctt4kqv57y3xaYljednM/qjDggY1V+HNIxrhlrTzcijnI7xNG4S+t9Y6SzHAyco/I9kDZwqT6reZ56qkWeOiGzUr7jei3wjzztrRa6mYdLH+BvsTz8y+OS2Sa1LBwyEEwq41mktwHn1eN6xepRr7cP+YbckQDgiZ5MH+DKYnnKme8mWlbF2kl7UuwmhQHy8712fBziRO1US5sXDgIOQWzXJcCBiHO9gV6bRoo989I6GJl1/6f+biTixGW22xLxnYz0gTNJ6QO9/5PSmKTle65X5msj7WQvvIAZMmt3hfLtAHyJOO/3IYOqZlpu4YC8N+I475jHRhMFcHfw9GFl4FPgLOByZJCfyRdpzycQBfUGaDrTY3XYXutqpNbBl4gNuFfLttKTTeoPViSj38/hyzi9fxiR/R2IrJQ5CjjDSyeP3zSOIj4P4s9cQmRDWmi57uLJt86pD3lsXlZdprZ/ry7vQQMEeu3UMD9ZfQGR4u8IpwAAIABJREFUXv2OyC4mcXFar08jgaOWmubVyGCsqaZT1OepRRp52n5vsvuvPDKhDSnm37bUfKSVb2pde9cuA/ZG9OoJRFfv0Gsts9Ihv+4NBs7zvq+NBJGuz+kbZPW1G2s97UWhr7UFcFJt+gOPb+izJ/lFqfXocZlejAs5xiB6vaiv7cmktadcY6+c5ZKa73ha5fKxMz0M1fD2hY13zvULguC3IAjmISsSWjnntgIIguBXZAnsEMR5vVNlfkVmW0Aa13fAOsAfgCeRbQk9kGV4/0aixDcjHcgUYCPnXHt9RoAYtl2cc2tomisjjbCRc26Wcq7QvWmjgd8Qo3AusrJjpSAIfkQ6xreBM5EO7Qskar6Wc+6MIAi+AQ4MguAx51xVEATPIMvuRjvnqjT9hYhh2sQ5N0DzezPixJ0RBMF8xAjfrr99FVmmdj3Qxzl3g+YhACY45/onlW/edIIgWKAyayDLYP8eBEG4zPGsHPd/Q4zgA0EQXIgM6o8CRoX7ALPq0Tl3s8osBGY4545FOsFLEQPeC1nG9xUyY/q8lu88ZMDXU/PyM2J8nwn3kWueh4ckgiD4HHGy/+ucaxQEwXvKuX2ot06Qqg+aVqr+BkHwMTAlCIKHnexdfwZ4DzHy6PMXII7QwCLl+yWwTxAEDzrnOiMO2gvIwHumc+5A51xlVjo56/pzYNsgCB5xzjXSOrpT00TLPEAGPWsgneTlQRBMRTqzPRBHZwGwmnPuPGTm5SzE2ZoP3JannvLw1TJdCHyNrHwKf7cN0MQ5dz6id22AqUntTX+Sqpt5y1fz19Xfnx0EwSQpOndYnjYZKJAOf1BCGW8L/Bl4TnnF20Cg9bh9EASPFqnHsF22VL7DkcHw64jTN8g5d7ZXFUXzVCzfyGDcOecO13byHMXbyVeIM/uYtokCu4k4PN8iA8SmzrljELtfCbQCJjnn9q2FzQv3Ljv9ujvSvq9H2lUeexbuZe6t6WyG6M5jQM887bZEfLsibSyrDyQljW5avscGQfBv/d0JiOP/PtLPnOPt3V6ABMeeAE4JgmBrpB2cHQTBz0EQXBgEwZNal+8iq5F2cs71zWr7qr+/AteoPrRAbMclwPFa33fm4RsEwQ/K7wm1XXOAw5G+t6NXld8js8qHI4GpU4MgmIG0t98DLTL6g7ak6K9Xbmm+zE3qY5yv9rc1shrnOsTuDHHO3aJlFLanoaT7TTs75wbq92qfR/XjLOAFtSE/IitdQlmCIPgOOE7Lt11S+apoHpt3s5ZN8yJ1mdr+1Qb8gqyqGKx8CILgMGSm+RKPyzfIQC/ksg0yWPxLEAS/BkFwldrFYnoVaD5PROzsu4ieH63Puk3L/1bgn0k2ohZpXI8EA06nuJ/3KzIY3zSp/1Ldyuzj1IZUIisrkvzbH1QHhmSUb1ZfAHARMikXbonYDNmyMBpZ+ZGlM3l1zwEjnZyz1RbR61OANs65w8nwDXL0tXsgk3p3IlveQnyKtOECpPUHKvIr0N859xcS/CIy6tHTmadDXzXkEn4P8o1BIPK1/0TM13bO3ZLlWyG6k2fsFZbLSknlUhv9jZd3vSMog8iLfer3Q81lSwcjztAq+r0xYlguBrrrtY0RZ/A2xPiCRESfBvrr95nILMXfNY1hSMP4B9A59sztkeW7+yAN53K9viOyxOoapLE6pEM6F1na11jlNkVmvjoDHyJG5XLl1BwZgF8M7OU9cxq6L5maS2KnIjNdx+j/LZHZ4iuVyy0qNxI42ftdL2TWZ0/v2gbIDHM4s3xgQvn+EW9/bpF0NkSM7jBkkDoM6XzvVx5jEYfrGaSjWlXL+p9EM3hrIAP+dYlFYZEB1D2a3/PQ5XXxetRrKyIzXeHS/Un68WfZRyHO6IrUXMZ7GNEs+VRgw9j9KcigsD/SedbYu4wEsQ5GOuQJWh5VRfThE6QTyaW/6FJA71lHIw5OI+/aGL/8vTSeRxy45nqtFbB+qGdIh3lcRjrDEP3bJKmuVWYdJLK+EdBVr4UzQ7shg+EW3nNWR5aEPoru29V0X0SCJiCzqmtpXbfSa11VLzol1EFYT8MQp+n0FL5dESeoj36fhQwCRns6tTLRapNpSKDGb2+bIAPOLim62ZdC3Uwq35Fan9vo912Q81v6eXnbBu9cA5Lb5GaIzmyKOEk9gfPDMkZtK7KCI75H/DCkna0B/AkJjMS33u2mdTwUaU+NvOsfAVd4sjMRfe7uycTzdKDW5fikfCNtaUqYb62D5ylsJ8P02nigQ4LdfByZlZzu1dPaiIO1l36vUi61Kd/eem1lZLZ1CLLs+17E7q1GzdUR92geLkXsRQe9N0LLu7emMQfpH/qSv90uDt8PU/iGfeD+iN2+sUga7yED79s0b2EZN0eXYOv3GegMpdcuVtZnrKrXxiHnxxyDLoknmvleAWlX4/3rCW1/FDKTeAl6ZovW74qe7EjEzozKw5eafdOamt/tkUHp74G+eq8bhbOkHRFdG0Fyf/AZsirkKNL1dzPS7cwYlR2BzpQifflAL72NtK7WQvRpjJbD7UTtqSMyQAt18yBEH/+O+DzrIIOm4xP47ojYw47I7O22RH1AU2AdT/b3ml5i29drvyN2lgui+35dDkfa/3pFyu8ZtK9A/LVJmr8t0K2FiP/xhP6tIDqDYHQsb88BuwJreeXb25NZCbHt4WxzC6Rf8dvkGGR7wsbElvIjNuIhpF3shNikpDRGKL8xyKqnTkiwzZfZCrHVuyF2ZS2kH7qOqP8aS6G/mNTHzUTs1mAksBnKTUb093NkUHu68hiO2Au/fMcidijc/pFU17siwcXw+wrAoVp/e8ba7aEp6cwi6i+K6d4uSP8bbq/bGtm6dQ3SVrsi/u0hXprVvoFe2xLxJ6eS0NeqzIok9LVev/WU/r0csVfF+oPXEb2agQSveiB92DVIOw7t3D1aB0n1uKM+b1dgiMfDeVy66v3jSR6DPI60sylE/fo41QXf114VsRfNkspPn3ew8ouP98J+5yCkb7qByB9YF9mOG5bLK8gqqXAVUVK+V8HT8XL71DsB+9SzAkjDegJdtupdPwwJNqyOdBafIc7WI0TLOLcl2qO+I+IUfIkYsWPVOMwCfkQcjDlqoL4AdtM0/EPBjkKi2T8ghutKJLDRBjFwVcplnqb1kMdlMuJQfqzcP1S5GzSd/ugef5XfDImGv4xEQB2FDuhU4CvE+F1BFABogxj0Ci+NF5GZGOfJhM7WhsrpQ2QQGzqWR2jaq3vpPK95TEpnY03nI8SB2EGvT0EivpfoM27SfD+KRMEHIo7OocB+KvMNErENy84fyJ+DzAj+qHUdr8fJiIPyFbJapqX3245I57uaynypXO7RdPyO8jzN88VIEGYlLdMw7/00rbCD/w/ikHXz0jgeCX59gczK9PTuTYjpw9uazuNk628S382QVTrXxtrJ+lr+hyAO0zx9zr2axoCYfFjXT8fq2k9nP6SD+QppB/G6DmU+17xfj+j4MO85myrff1Oo18MRR+xMZLl6+Jx7vee0QAIYYz2+HxA5lvF6ugOZzZmn/JL4HqjpfIznKCMd/rNIIHMRMrB5kmjg2ZqovYV6956WS5JuhnznUqibfvnu4/F9mGjL1CHKb5SXzmuofUhok1OR9vieln9oI0ZoGd+G2KmTETvTBbEz4dLPnRDn633N15NEuunbxQeBbzW9fyPtoBXifCxCgiYbI4G9T5G2H6YT2sKRRLboHS2LeL4P0/xcjehDaBdnEbWT7RFdmKf1Hta1v6/4fq2P65Elx8dq3lsTBW2KtYNi5XsFEhhujjh4L2uZfaHlcC7ifLoYl7OI+hRfN4druX+K9DsfEQUkatNua8t3kT4v5FvdljSNo4GfkVUMtyak8QkSMHlPv4dtf3iM76b6rDnE+jd9xiwkqPeulsG5yrlTQp4/9eotqe2HadykfJvFuIR99seIc5yLb4KvchuiV39CJmGuIApK7IoEi/ZBbPiHFC7vDvuDL5XvLYid/n1O/Y3bmY21rj9FAhg7JPDdGNHPD5Cg0JWIHzMB6Tu3R/qdL5E22cb77cqI77OJ8n0K8R/idn4iEhz7QtMIJ1Li5/yEbf9Nktv+KK8O3iDBJ/LyFOa7Rvsn6ndepnB70XSV3xMZfIV18Q8vjd2RvmBzZOD/qebpWMSeb1JEZ95FA/R6vQmRjd1Qn/VRLN+VsTS+RtrUwIQ0wjx/FuPbnqjtr6d8X0P61blEA84WSOAofNYrFPqLfh+3sZbLW8hA9Eok+DFQ6+lrTftKrfOTNY0ZXvkeqHn+HPGRk+p6qnJ5GwkahlxWQYKK1yK2M+wnHy2SzqaIP+n70XHdC/umdyn0XbsjAYVpyuUfyCqTSk0n9A02R/rK0J9L6mvPRCbHQnvVJaE9tkfse9h/FesPDlauryN+0ENEW50vQezvImRs8SyRX+TX43pa/i8g9nYu3kHqyBbD+zWd94nGBfH2di+yyuwmCsdeKxD52qGdfodCnycsvxORNv04olu7JvgYhyErWr5D+v+HkOBKV0T3P0f6rUXIyibfh6vOt37fV8umWsfL6VPvBOxTj5UvA+6PkYHurdQMfByIzIZ+rYq/OjJ4fsKT2RwxjrMRY74GMgN4LLKsuYUakW+14T6DDPgfIwpAhAb3esThG4A4VPvhRW2R2c6Pkc6nv3J5zONyLDpLiQxom2k6+2o6YZS5B+JAhJ33IV4aFYiD+SzSCZ+HdBAPUnhQaE/E0H+bkEaYn+HK9S3N04XIgCUc0O2uaXygxqhYOgMRg/+mprM9EqgKy28s4hA+hxjJdZH9uK9qfayGdArfIAOrQQllV4F0NP9AHLsBCfW4laYfOrAvAzvHdOYgzcvLiBFeXdM5WtPpp+X/lNb1r8CZPg/9uyriPL2paWyreTiEKOJ9ALJ89r0iXI5F9qPO0bpoRn79jfO9Bxkgf4/OenhpjEUc7jmIfg+KpbFqTGdq6J2XzilIewvrKamuD0D090WV6af5vBuZXeqMOAK3IPp3TOw5ayjfb5BVQIP1OX6b3Bnp3EKHsUY70b/raz2FAbwkvn/SdF5TPvF876TPmo3onj87HTqeFcjM0DyK6+bdqgsfpJTv6URBtEGIo3QYuvIMmU16ANHvTxPy7TuH7xC1yYl4NgJxRL7yynC/hLLbHVmK+oLWSVKbbKLleQPiWGyLnIp/CKLP+yI69QVRWzkUeNJLZ3ckWPIN4nwNTMj3Pnp/NvATNXVmc0SnvkKCs2tQU2dCG3Ij4oC30nr6o9ZTOCDrQZF2kFG+//LKdz/Erp6A2JLd/DSUy0DVhx+I7KbPd0/EIT8H6TeaUst2Wwu+eyEBkzAIdXisnp2m8RaR/Y2nsTUyiPuT6kFjYm1f5cLDDT9G+oAjYnU5DXFqP0P0cw2kP72ZaGVJaPOO0PI7PkF/xyFt/w1E7yYi9sTvJ5sjfdP7KrM4fCuQVTWPIjatfQLfMciM+jdI+0/qDy5ABjPhAZQ7k09/43bmAaSPexXRsQK90rSaIsGQ94j8mdAP6aFldwXSbmv0X14Z/wkZaH2gdR+WXegTbaJ18FFCGqFuDkN07g3lkmTz7kNsw2dJdRBLJ7Qz8fbUBbERFyODpGNjvx+P9OHfIf3kEE3jSS+NGchqxGeRgfIgL59fAxvr997IIO6TFL5DtdzmKt8TELvZGdGhsJ+8GrHDNd5GhLSND5DgQJjnx/26VrlL0L7Js/9fA5vq9676u2/jfCns425HdCvUmX20vgcgkzxvEh0cGa60au+V79lavuG2xKS6vgfprz9D/LnjgI4en26In/oV0g4GF0nnXyozj+K6NwTRzddJ9l1DO3MjMtkWPzR6BhL8+VrLbRA1+9qBiA/xtvKYU0QfRiFtZS7iExfrD/ZD+tCmyIB+O332YMTufo30gT+hq1IT6vFSxFcM9SGuv4OUy2ckj0EqEP19F+n7W1HTPziIKFj3STwdldkf0aeHkP7nSJLHXpchvvSAWJ5XRwKQ2yFt5QjNezH9DYNTA+LlXy6feidgn3qsfJmxmoXMOG2LzGpMi8lM1Ma1onftLgqNZAtkaZX/+qRBiLNwBDIbti8SnezmpdEv9qzrkD2y4feOSCd/MRIZHYYERlaLcQmNXxh1/7MaHVcknb6IAzVAP/NiRqdKG3n7MJ9IZzQ+JnMU4nzVSENl+iLGfABi3MOD1m5B9u+BGN9dEKeuWDqrIFHh1WP59sthd6Tz9k+V3kF/twJyCNX2sft3UXiAURPEIPrL5qrrUb/30nS7qW68SE3nchTSmV4eS+do1YdGyNLQBcjy36Q8d0McwrO8axsiTtPWXv7mIwGSGlz0OX2QGU1/pjOv/oZ8myFblNrrc2rw1d/8H3BhkTQaI0u0w9VTxeq6DeKM+/VSUNd67dRYPfk63gmZ2W+tf2s4AfqcHSnc/hLXqYHIPs403eyHODT9UtKpQAKHbZPSITpVvx3R6eRxvg4ZbPwtRTd7IvasWwrfRoh+tiWaxbhN6+48ZBtbF2SAmZZOd6Rt+ctWbwcmxGxrN8QRuIuaQeVtkJmTeNnFD3S+g8JlyFMQ5zZsBxsigbBesXR8He+hv+tWJN+tidr1liS36y7I0u3OsefE7fj/AX9NaQerEzlUtS3f8IDRSmRgUUlxO9QRGYwMjPGNt6W/aXm6InzztNssvhWIDalMSaMKadeJaXjX/kzhax79th8GBJ5QvquQ3J56IG3bP5z5OuRMGZ9v+LaFJL49kbY/MMbX7ydXQPqUYv16Xr6ViF52ifHdwfveCum3OyfpBNL3b6/lHJ6Tkld/fTuzGhLE6l6sHSDL7F9IyPe+mu9GSJsL/a9iOnw2EiAYkFB2HZGB0WcU6QP1NwOQAffqFLd5nZFZ+24pddBX63dAUr61PEciga7hRdLI7N+Q/nYmcF3st1MRfRukZXa51kUxvh2R7Q+rxfJ9pea7NxIs2xGxjUlp9EJ9uJS67orY6FtT+DpkANovha9D/NsbY3nYR+u7J6LfzYj0t8A+kK9/64ysNuqm+bsbCa51iaUzQv8WS2cFLbs0X3BNvR63waHOhCumd9bySrIzzRH/1l/JW93XemW3nsoWK9+uyGRHUV9Fr+2BHlLsXQt96WbIWGmwPq9YPR6Tog9rIT7nQ0i7LdYf9NHy7Rjj66+yGIME8lZKSgdpbzuhQb4k/dVr5wC3x66FeV5R8zSKKDhfLN9T0OMNyvVT7wTsU08VX3N/bivECb+b6JT6XtrIw739FYjD8KxntFYkOtX8ZmA7L831kYFKe6LlsWFU8GGiV0Ctjhjptkgwwn9rx0CkI1hVn98+gUt/j0uzrHT0ewsiJ3e10FgQvYK1R4zvrUSnpg9Hl84mpaHf16FwOfcson2RU7Sc/Y6+WDojNJ1mGeXXFZn990+Lb4+sLhmj+cqqxyrEeBarx4L9u3pvPNKp7aLfw0hxMX2436vDDil5booMhP+K975ypBN4lCjA1SWBy64el3Y58p2mv/d5fNPqqEfONNrkSCerrXQkh45718NO6kj9PkmvZT2nXY58NyVa3lmUb7F0kI6yur2l8O2dUr4PUDi7nNYm/edsBPxB/x+EBL7G5kzHb9sFNgLRs+FENqSYba1AAxWk6+YIktvB48hgMKtt96YwuJWa75R23SEhzzXqOqWe/HbQugTl2y2Db4sifEd6fNvn5JvWbrP4upBvRhr+doxi/U438vVv/jLnpPa0csKzLkAcZIcMivpm8G2K6lUK37ZaxnXGV/+fiK4kSuoPNE8DiGzR4uhvtZ1JqOt4Oo2QwWVSvm8kNuhI0eFiaVxP1L7bpaQRvj4yXF2a2fZT6qAr0QxxQb61fKttfUoaefqdjkiw8VG8iQi9fxwwS/9vkvKsyUhbqSiS7/8j2ipQmcK3G9EZLsX4NkZsTRZfl1E2vUlu22sQ69dJbm8jKAwM5K3rMPBxnH7fnMJXayelMy6P/urf1jHOcZ1pSf4+u5id6RHjklS+Halprx6mZn/QmGRf+q/ouUE56jGP/iaOQfy6JNt3ja/YSPKtemfob9uUPF8Qz3NavuNy5fipdwL2KZ+PKv82yHKqq5BO3t8r2Rhxsh9CnMAtkVUL4Z6uWcgyKX/25TZgsp+G/r1RjcN0vEMSESN3G3CY95triA5adBlc2mSks10snbADXo1oT/czRAdDhvfPRVaabKLP7Oqlm5TGs75MQllfT83DOzPTKVJ+dyMGvRsyq+avjrgYb2l9StndWpt6jKU3AVmiejNi6DtkpBMeruWK5Pk5xMEKD9Y6NaZD/8CbDc3iUgL99QebRfUlb57z6F1GXWe1lW2872FwaBUt1/uRWfYV8+hURr6fy8k3Kx2/vRXlm1G+BbqZp3wTdOdK1M7Usk0m2YgHYzJx2/ov8tvWtHYwOEfbvgV1PPPmO09bSrFDS9oOal2+CXwfK1e+RdKIt/1iaYQrJfP2b3nafyhzGLJqaGMtx14pfONtP4nvv+uDbx4dXgJ9iNuZpHTupRY2OkuH85ZdkTQeJ2GyIsPmJdXBHGrRZ+Ssx6z+rRnRAcOhfpyGvtI3Q2cK+BbJ93YlyLNf18X4Hh9kl++rRIPTPP16LptYi7ruhfik/8I7GyZvOnl0r0j53ePpzJLYxa4JefLL938Zdbk5onvhaohivvT+tajHvPqbyxcko1/PSiel/LPyHB8/ZLbtcv7UOwH71EOlx1Z5xO61QpzyT9CBJTU71b8iy4b/iy7d0+stkROkb0YihH9ADGiPhDTOUCPzFF5UWe+trY37CmSJcfh6riQu1yLLk/+L7v9cnHT02vHIloo1Ep7zR2S5ajXfrDSK8O2HLOV7GY3KL2Y6BeXnGaIueu1q5KyKN4hm01Lr0bvu1+NVyB7Hd4hmrpP4nofs4x28OPpQrPyRaPfBiPE9Adlr+g6xlTZeGisiq1s+RweEWfkuBd8iZVeQRoo+nFabus6j40X4HqfPGZj3OaXim7e+0/jWVfnqtXBLRy77UORZNWxEQhqLa1uLtYMuedLJk++ENCrw2nVtdLO29bQ45dsA+LaoZRp5+rc+KXyz2v/+iLP8NLKaYJniG5chmuWv0TeVUh+Q4P0S+zPIlo3GxHS4Nml48qntIN72F6cOkIHyuRT6IWlp1Ka/CGewm+q9qxA/bw66QnYx+bYkxebVN99YfT+BrEgp2q+T0N5qW9fh/8iWjC+IVgfVWmcQHT4/Tffi5VfkObXua2urD/o9nIDw00n1pXM+Z3H1ISvfNcY7WelklX+ePNdWf8v5U4VhuYBzbj3EmP01CIJF+u7vQP/viyydWg3ZOzcImdGY7ZyrUJn+iEGbhyxN6wWMCoLgf865RsjZCp2Rw3D2RWYmeyCHpn0cBEHgnBuELJmdiyxJWwsYoc+pDIJgob6fvh1y4ODBSIR2GvB+Apdmem8hsnfwHU8mTOdozVNLJFL+jr5Tfr7yGRoEwVXOucGarwnAbOU7DNkz+7T+XV3lX/X4DkI6o++QcwBW0jTmxPi2Vz6XKd8NgE88mTCd95HtKOOR055fifHdEOlQhiJL14YA7yiXEcis8E7IAVDfIOcIvJFQduH70VtrHbwZymg9foFEks/VOp0W49sfmYX6BVlKOgFZbviSc64x8saEzkhU+i7k4LbeYTqePqyEOJOjVGaC5rlSy+k3xMD/qvn6DzA9CIJPE7i0RJy9hchy53gddEIOnxqLRLXHBUHw8mLw/UTzuwFyovkroT54ZXcXsvf6G2RLw4cJdf0zMjD9RtP7X0ymL9LexqrujdNnNQ6C4DfV8XWQ1QNDkCXV04D3Pf0djMxEr4PMjGwca2/hcxYiM6Y9kQH5W3XAd5CW2TxkgDpG05kT4/uK6sPION8Sl+9Kem8HZHnmdmoffL4rIQeErY+0l2l+fSvnqaqj4RkgA1Sn8Wzrqlo34yhuWxcqjy6IbU1qBx8gr57sjcy2febZhzCd77RseyBLU1+J1ff6mqeVkD3imwPvaR2EbakDMuhbHdkz/kpCXX+NtP1+yJsKktrB1Uh/0ArZivDhYpTvdGQmKdz/PACxeeXKdwtkML5mAt8wjYWqdx2IbJ6L9Tvvqm6tgSxLfzmhnzxT20ET5E0kcz2+YXt6A+k3JgBbxdr/SKJDr1dDBt3bAHPLmO96SABgMOID7JzQnjYDOjjnbkVe3z4ReDXmh5RCH/oiy8V7IHYvbjvDfB+HnBWwgubpnRjfaaovN/h8AWI+0b7IQOp3CWl0QAIwGyN2douwP47p77NEB/bO0HT8ugzrYJLymBEr30GIrzOIyI4P8XQmTON9bQsjkPOHktrkC8hEhV92LgiCX51zY5HZ5N1UdgXgJPVVast3luroY0jAeAaRzasPvu8jdnyBcn4tpjMbIQdhfqEy02J8i7W3eP82W9vLYQl1PVLr7hLnXBOk/5oUiH8bT+cH5GyR/lp2cX+8A9L37I2sek2ywZOQg5pXDcvPy1P4nKeQ/m9dituZl/X+6shrceP2N6t8w7r8Ueu7UtMK29MCJ770OMR/6Ir4jZsR2fEsW+Xrw9FIe/wRObT/f67244es8c4g/d1cxFcYrd9fi9m8j7XO16DQNwjzvAJyPth2+pwdAhk/FJRvEASXO+dWVn2YGATBbJYVBGUQebFP3X2QTrApsgzpDby9gnp/LNK5/g6JQm5AbJkoGghA9onNRpaTXYu83aW9J/MeMjidET479pxXEOM7G9kvfTf6fm2VGacyk5CDin6k5mnO4/T3+2iengX+kSDzCnJS8WzktVNnIgPirjG+i5D98RUULsNfF4loH61p3JbAN8zTWI/v+UX47qV8/wPckVAHftlchMwuxfm+i0T8L0PehPNnoghtyPePmsb9yOFaayY8Zx/kBOZDqHmg0fhY+b6Kd3hkLJ0DkdPEr0OctQuJ3l8+Ucv3bSR4cn2RsjtIn3cDshw3czCrAAAgAElEQVRypRiXV5Gg1fPIQCP+OrR4+b4K3FCE78HK90FkO8+S8L1Ey3hMQtntq3wn+Tw8mVeQWcrnkC1kt2TwvQpZ3novUdR9kurDXNWHK5RbXB+OUk63ILOWxfL0PHLIX/w8kFLxnUih/oav9IzzPdwr3/vquHxD/b2C6DWtPt9XkDbyinK+JqGM30YCHDcggx//cLVxFOrvFGra1nGap4P1OXcj+umvbpmg6eyjfK/VMvb1N7TRB+rfR0m2V+8gOnMJMsO1RUL57k3U3uJbSMLyPRzZA3wRYmc2jPGdjawQexN5G8OFS1i+lyBLcbdeBvi+jWxFugE9sNp7Tqh3z+v3jjG+o4na7QvI5ME1wO6eTMjlAORgvD8iq5leI5q5G6P5PUr/noasEroAPT8DcZzfVH0I+e5X5nyfQw4Vna118CA1bcS7mvYkJODYtQ714Sgk8L8nsVlgIj/kUCKbdlcC37eV89gEvuFzjlC+pyBnKiTxDe3D+chscBLfwxGfZ39ie/AptMEvqU7cROG2ign6jPeQwHRfCs+aCOvxSNWHg5BD5ZP04QjlchIymeRzCev6ZJXZMcHWLw7f7n6+64nvZOSA2kXUPKx1vPJ9Hwl8x9Pw20lWeztMn/EnvEPwY3xPRPR3BnpAakI/Gfq3PwEXF+m/foe0uQnUtMFh3z8XaW+XIStYfN/W182dqGlnfH/8FaTPvplknyerfH2f50Zqjh/WVa7vaH0eh2wlXcmrg9DmZdmqE4j8r2I+ZZ7xQ9p4Z2ysfM9EgzWx8j1M/96QUnZ/JOrfivmU4eHcjpRts+X6qXcC9llKFS0d+IHaGI7Ra80QQ745EhUND6XpjpzkPQaJ/u6GzPLcQeSkbENk5LuoYZiNLIn6EpipcuES0z21Ac0henXsvngBAJXZXP/fHHFmb0ANLRKY2EMb5rtES8SfpPCU9j2RyP7fiV7tNhqJIl+LRDP3RgIQZyEDiu1j5bWtGpo5RK+4S+M7s0R8hxfhexhihIdqutMRQ9nE43sAsjImfBXg6eiATw3UEYjT/iUSIQeZQVoZWfnRVPP4R8QRC5fP3QOsr/9XEunMeUQBriHI8shbkGj1Scis9FB9dlLZHYVE/sODpK4jOpyqFdLBHaZ8183Bd0gOvtOXgG/ovIZ8z0O2KrVUvn9A2th7RHrRHlmq2pfo5O9jEX1YM0UfNkeWKO7tpXMI4uj00eeE+uBI1odQf0N9SMrTAcp3xlLkW1mE7/71UL57FeG7pZbNi175xTkfj8ycrIOssknT31Ep+rsDMhgKlwNfiARiuyO29XDEvpzn5Tuuv79HAidzUIc8ob5PRZzpdRCdSSvfmSnlu43mNbQhxyFtIzxQeTdkBm1Jy/cYrcewfMud7+GI/R2pfI9B6r+H8p2FtMnZwD7ecyZpHtshkw6bIU70FJXZQ+tuHKITmyufAyl8lew+yCrA1RBHdzdkZnuE3l8TcbzDcy32Qvq+ZYXvVK3z2UTtKa4TJyIryTZH7Exd6sNeyLklaT5P2GesU4TvH5BBylnKN3w72pZe2W2rfEfk4FvM/m6JBF9vId3n+QPiF4322mBcJ05AgioVyncfxHb3RQZg0xB92DBFH3ZG3r5yKnCnpuEfZjsVsXml5OvKgO9G+v+6+px/AXd7MltqPebhm9be8vDdhmz9zeOPz1DeZ+v1uA7PQoLww/Q3cd92O+Sw4VuQYEWxsvs9Yn9DfzzJh8hTvkcigaUwnafxXtGufO5BbJJDVvY8ip4bhKzs2JVsW7U76f1xqcYP+wKPaPlWFinf/bXs1kwpu7B8h+Yo30q/fpalT70TsE8dV3C0X293xFCORmYJ/4rMYIQnK/8BdUiQGferEcN7ozb0FoiB9COV16uR+h3SiW+mRmIKslxrZoxLL2CP2LX7KXzVotPGPgsx2j2RYMvtSBS/MbJkbIT3m72RZYR+uk2QWaDfe9cuRmZB/ogMOMbr88YjUdK4oS0nvu20Dv1I/D/RoI5+XxNvhkHr7E6ik9srkE7obaRT7IQY87tULtwGtB5RkKEV4pQd6qUbngJ9IXCsd7074nScjSzp3i3GN152K6KngCPO22fIipq/IQa4c5nx7UTkXHVBlrDfhcwM/Vn5dkZWF+yt9fGE6sKtSGClZZY+ELXZg4DTYnpyiKbVK4c+5NHfcuLbCZ0FLYPybU1GmyNa5lzJkulvC6Tt/wFZJvyu5uk6ZP/tijn0tw1ie3YrVt/6/FHKd0nKt4mWw7HI4OItxGG9ErF5vUpUvssa33bIls1K5EDMt5XvBYgD2onoLQCHIP3lfxFH93qt747IbP91SNB6CLI64lpN52mP7xbAuTG++yAD3S6ILdwW7wwvxJnfZFnkm9NGDFiK+tCK6G1MxXyePDZtI2TZO8hA6iKkrT+FtOlS8W1O9ErtYj5PO6LBYDGdGKz8WiKr205D7NTHiO3N1AckyBa2m2HIdqW90YPo9XpzdDVfA+LrkPa2AfpmD+X0FPC4fl9afFsRDbqL6W/It6h/q3JpOtyXFN9WvzdFX3WdUnYdkCBApXct7kPkKd8uFK6Anqpl11a/V2kej/JkTtE8Xallm8dWLZXxAxljB6+dZPlfmeWr15bZgEcQBBb0aKgfbQj+K716EL2Sam9kv/uVQFO91htZ1nQb0Ss/e6kxCCPAOyCrEfZFOuzrkIDHDXq/ynvehqgRRRzycUjHG0YNGyOG7j/ITE8bxIA39+6fpv/PQJZ+3Y/3ejbvWQORgcKGmk5ovCYikd7jkYHwLYhBvQExjH7jHocY2h00jY2QTrSc+Fb55YwsX11H63q4phW+vaYRYsRe0LpvgswwN0JmhucgM2K7qfw2iHPkby8JB4frIAO6UbF89EOWCPqnoA9Hllt2J9KtqljZNUH2FDb3frcf0UqjrZVL+Gqu+ubbBnEcfL47Ec1+jkSCg2Gn3RVZDvmux3eUyqyXpg+x6z2Qmfl9vWsrIA7zmin60AZZpdWGdP0dhjhq5cB3PQodsnov3xhXn/MYLbchRO1tcfW3r36frHXzGPAnvTYGWWIaOvWp+qvfk3R4bWTwugqRvVrc8g0HcKsjA8p7gT/H+ovNlrB8Jypfv3zLme9GKufznY6cuwBiW65F3wSCrPIJZzT30Gs9tR631u8rIn3xTXiBAmSgE64+6IIuu4/Zv3OQs3CS+F6F6N4KyARIx2WA7xTERkyhcAuqrxOT9dlrUff68DdirzvV/+M+z3gK364Q53uD8u2EDFzvCstKZc4GDigB37+T8OY1Cn2eFZAVBH75+joxROt7E2TA9xhiv/ztUKcB59RCH/wBY3hQ6z7KZRtqbpNY1vluEuP7F083fwBe0u91zbcNEoDsSrr+rkc0KVrMvw3v19BhTeNsZAIg1bdNaEtZdR36NaEPsYKm16ZI+X6PbEWp8XYbpH9+BhnwhweDr4bYqvOR4M0dSPDmamq+oaioraJuxw+bk3PsUISvX3aTYmVXUL5em2oT57OsfeqdgH3qoFKl0dyujWBzxGlpgezT2heZKfg78BFyzseWyGB4PWR57vleOnP12qbIQHUjpKM9FXE+t0dmLdsRLYsLG1loRD/Wv/sRbY+pQKKctyOG7SVkid3e+pxK5Xs8YkwvBL7StHam5gnpuyNLvB5CZqN2RhyKwcgWnCOR5WqHIYZ5RY9nyHs8ssXhEzU6B5Up39BoXYHMDj+NHHi1I9EZK5XIct6HtB6fUS7b6/0uaHDLq+tPNa3Nib3mDlm6fbnm3e9MN1J+23v6cLteD8s1fJXW7Xr/aSQosX38OR6XT5TzlvXMt0ZdJ/CdqXxf03rtir5WLCbzKdKWiunDA3gz+Xp9KBK42s/Th6uVd5I+7IksUfyGfO1t/3LkWx/lq98noOebxGxZyPlBTeclleuXwDev/n6C6G+4n7oJYj/CZ49EnKStkvTXk3mOaNlpXIefRmzAG8onaZ94bct3D6L9wvsQLamfgMyo7bkE5fsQ4vC/jhxYN7bM+T6o5fq68tkygW9oq95C7PoIxMldP0HmTWTb31pePg7X/6doXR/p/a4PYteP8GReQge+xAYUyEDpReX7DgmvTi0zvqcitvwFxIc4kJpteybSJr9AVq/WpT7MVP5vAbskcCnq86Tw7aTl8ibRdtSZiO/13hLynYH0tW8htniDGJfQ5/kc8XlOSpCZgbTJz5HA0RBkQPcG0l6riHzFj/LqAzX9r7WRtvQFcs7EqQ2Ub7gt5S/6+RAJKP6ItM265vuZ8j2MnPpLun+7OzEdJtLxj7QOCnxbT3+rXyWbwDdPXYc+8BzEhzguoXz/h0zS/qB1dSieLVPZ0/X3zyM2b13EjhyI+H0VWr7+NurctorSjx8u0nvPkDB2yCjf+PghLLvji5RvH8THvhd9ve2y/Kl3AvYpcYXKbP6rSARvOhKhPBQ5ZOtQxHDurjK76ucObaADkZO/X1Mj8bH+v6fKHED0mtXJyMFGzyAdcxjxDWdvwq0UXyKnpO+MzOicjDcbixxo9LXy2UllTkFmMLdCjOjOiAO8PhKhTkpnMmLUNkWixOdoHsIZuonasGcjRj8MDlTE+H6hfHYq8pyy4Kv/X450BnOQzukOJFCziidzk+ZpDjLAvRPp7LrHdOYDpJPd2UvHP6DsKORgqNspdLJaIB3lW8gbfF5CnMtevj7o/9donuJ8+ydweV251CffpLo+Gd2SozLdiQ7O2xJ5281p6Ox8TOb1FH3YDTlp/HF0Js+7N5jIUXlH63PlBH24GNGpON80/S1HvvVRvu8hbeUX5XSRdz+0EStrXp5D2vlDlE5/D0FmXNZBVuCdgBwK/TWF+41D/X0RCVz/hjhY/lJc55XLl4iz8hoSfFrS8g1l/owMsFZBDpw9H7FF3/llV8vy7Y6shnlmGeHbAdHzZxA7fSrijPqHrXZA+tzXtN4OQJzbaTGZd2IylyAzw50QG3UlYjt/BO6M8e2DOOs36/2ffZkY308Qx73s+er/Z2kdJNoIreuXiQ5RvqIO9eFiZAA2F1nanmRnivk8aXxPIXrTz6daL58g/eQOS8D3Ak1vLjJgO0Dre1asLucp3+mezNbe/ReI3qR3AuJ3jEUG5k8hWy8+0/ub1UYfiAZiTp/1OTLYm9aA+V6CBK/HIH3AO1q3A+uYb2hfv6K4f5Ckv1n+7bkU6vDniN6dh7S5q/B8W33OROX6PXoWSMxWVaTUtV++F2oar3p14Jfva8hk4Ataxht46Wzl1dEryCTxzkQ2b2PvOSOVx8/AzbW0VSUdP2gdvYEcahraoVqVr/5/QULZxcv3LORYg2dYhl5Lm/apwNDQ0Ab4MgiC/wZBcBtiRPsijeBZJAL7HGLYLg+C4DKV6YcMxO9DjGl7ZFA4MwiCC1WmP7Clcy7cP34X0XudtwN5B66LXn26NrKCZHwQBFcgBuonYH3n3OrKty+yd3F6EARXqswPRK/smoqsiPgReDAIgpu8dDZwzq2m6cwFvkVef/mwyvwIzNRXPrVFlrwuVL6HKt9FHt8BSMR1gselHPk20jQ6IbPDmwZBcK7W0arAVOdceyevu1wTWS65WRAE5yDR3D7ALOdcG5XZFjH807We/HTa6rM+QfTnNmCQc24v5fNjEAT3IZ3EY0gn86iWQ6gPId++yKAtzncj5dIcWRHQHtlrekU98+2TUNc/AZOdc/1VbgdkX/YWQRDciHQk3wHTtB5Blr52QdpSMX34Clm+fCzQ3Tl3il4nCIKXkEMx70KWvD6BBCvj+tABWTEQ55umv+XItz7KdyTirD2M7K9tHsp4nNsggZNVkUFEGEwuhf6ujGyL+Q45qCyc2TtC+cb1N1yC/KTy6Omc21NlQh1uitiz4Yh+n1CC8g1lfkQcsubIEuaRiMO2rV92tSzfpkCA9DPLAt9Kj+80xPl8AljPOTdBk9tRueyo9XY90j9s4MnM0jz5Mo8h/XBvzc9KSKBrDPCrc+5aj+9cJPjwLBLkXduXifH9BWn/ywJftHwrKGIjiM7E2UXzdAp1pw/vIIOezYIguIZCOxM+q5jPk8b3ByQY8yEyY/sVEvDcIgiC/1sCvm/qs7cJguBeracngHFeXfbX8t1E/cVQJtSJSuW7G2JzLkTaxPZaphsh/sk3yLa7O6iFPgTyGszKIAgCZDCHlu/tDZjvY4h966Ic3wc+COS1n3XJd0Uk+DEp1pay9DfLv72AQh2ept8/0P9PotC3BRnQf6ncO8Rsa+iP99P6jNf1OOfcJE2nPeJDbOfVgV++E5GzNr5HXjd7v5fOWE9nvkIG9w8S2bxNvHocjfiUo4Gglraq1OOHplp2/0ZWgsbHDlnlG/JNKruk8l0LCSrOpiGgFJET+5TPBzFqlyIOdHjI0HCk4W+UIrM2MiM4PUVmmMpsgr5aDdmftgVy2NneMS4tkf2vRxLtNe+nsjvq93WQxubL9FeZ7Twufy2Szg7e81JlkE6qh+bjKuBU77dNEWN/+bLAV+93Q2Yjk+oorMctU2TCA+1GIHv/kmQ21e9VWj7Nkuo76773nGJcpur38Slc6oNvvK7DOgqXuw9EVrCk1WOfLBm91tzLS1w/K9Lue/pQjG+a/pYj36VevjlknD7nYEqvv2sjNjpcmtsCCXym6WceHQ5PxK/T8kW2P7RdkvLV61ctY3wvQ1YstPB0+nD0VbXI6p0rVa6YTOcUmUO8ug7PC2mPLBm/zuPROvY3SaYpslrhxmWIb4eUugx14gZkNnxp6ENWn92K4j5PFl//jQxZz8nL99yMumxO9BrRYjKXKufEus54Tl59CFeyXrAc8d0/D5cS872U2utvbfzbnXPqb3ui1Z9p/nixsjtIv/dCVgSmla9LKb8DM8o3vN+a6PytxbFVJR0/LGn5enksVnZ++Q7wf7esf+qdgH1KXKHSYH6PLEuaSHQgzSzEAa5KkdlSZRrlkGnqPbOlXv+r/t2RaOnYBprGzkAzvTYZWUrWModM8xLJtPL4ViGDjKuQpec7Ils/KpYhvgfmqKOKHDJ56rpRTMeS6nvLrPs5nlNZTnxLpL+t8upDRn3vi3cQVcL9A41vafhmtLm61N/QRjeJ8U3V34w2V5flu76fTonKd1nhu5PyXVWfczyR4zgUma3rpN+XVKZ9Qj/fEQkgX6R8T8brkxNkdkK2TfRfRvjuqHzDNzEU1YmlqQ9L8Ky8fFuUiO9+ej2tnjrmqMuOeeq6BPrwZySQs7zxbbuU+ZakL82QaZHnORn6ewDiv6blu3OOsmmXRybjftK5c4tlq0pUvs1LUL4H5SiXTvF8N4SPbW9pQHDOuUC09m/IcriNkOVNIAbvN2T1czGZJiqzKIfM/PC5QRD8gMxkXo/scT8X2Y8KsgTrBWTryBG6tKodslxrQQ6ZRSWS8fkuQJYCHqn5Oht4KJAldcsK33/lqKM0fahNXYd8Qz5J9f1a1v0cz6Gc+OrtpDpqT7Y+hDLzc8jE+Yb1fRRRfT+s14vqQ8pzaqO/aXzj+hvn6/NJ4vunHHxb5ODryxTj68sU4+vzqeabUcZ/o+70N7TR1Tw0zVT9zZCpS31oG0snrezylu+ywvcs5fs2soWrGXCRcy4cdC1AtihQApkCvsrniyAItkBWFp0NXB8EwS9xGSTwNV75XoNseShbvjGZa4IgWEi2TixNfVgcW984B98wjYUpfOPtII3vv/V6Uj310zR+0yTiMp2I6vK3jDQWFEkjScbn/AUS5A3r+rogCJKeFedS7FlpfP00ivFNkonz3SkH3xUz+F4W47soI41ifJNkCvjG2lLIt1R9f5pMVput9m2Va5L+Pqj+eFpdh/YjTWZhTpm0+wV8i5RvXltVivLNGqfkKd9/5iiXX2mIqO+oi30W/4NE/OKzguFy6Y7IPvorkD1uLwFDF1NmT2Tbx6OhDNEBSS2IllIehOx7G6Dfw5neFZA98BdoGs9R8xWAdSrjcWyPLEVriuz7/CCF70VaLmnPKYXMpsgMbRrf1sgp7j7fRrF6/BtyUKNfj6WSqfDquw1iJKvrO3a/AllSfCSF+hB/TriHMI3L4sr4fPpq+aXxHQ78kXT9vQk5QyGtrhdXxq/v0Zq3ncP6pqY+TABOJF1/b0c6xjQuiyvj89kAWbaZxnc8cvDmB+iBWEWe85Y+Z1iJZfLw8WVWQZyIahtBTb27VusxTTcXVyaun72Qc1J8/fRlmiNBE1/HG8fKJckOlUqmMla+zahpX32Zbsrb15n4cy5D7FAal8WVqYrx7YCsvklqT+2JlhHv4vEN89MDGIS8KvBeZA9+vFyWVCas665EM7LTkHNfVk+Q6YHoRLWMl5/wOecjr0X0n1MqmQK+SIBhyxS+rbS+torJ+G17G+SQQr+fjLf9K5G+IM2eJcnE7cPqyJtSPijCZQpRu32O6G0avsweiO6l8c1Ko5hMnO96yGrVpPYW1tP1yJkFxXRvR8QPqda9xUijmEy8richqw/e8co3ns5NmuenizxrN8TWV+veYqRRTCbOdzwyOJxL1F/E07lR7z/l1ZMvs4s+474UvllpFJOJ8+2H2NZ3Ka6/1yBvDnyJ4m0lSyb0F/9DcR1PSiOuv+2paX8bx/J9ATXtTG1lRiMTAr6O50mjKla+HZCgnW+r6qL/2hLZkujbkFr3b/p/dV+bt99piJ96J2Cfxaw4eYXQrcgbBKai+8303mQkmredyvwXcRgWR+YfyBsIHkJeb+Sfij4BcYCnaIPaC2/A7slcjgzsd9YG1rYOZe4iel1bD7z3XCNvSbla83wteoKy3quMPWdblXmCaL9+Xcg8gCxpfwjZl9/Wu+/zvRM5YXo3vRd2GpO0HrdUmSeRA9vqQmY8cu7APUik+C9+fev9ixAH7BOk4xgXy3P4nFDmEvRtM3UgMx7Zb/8p4mAdQqGjEfKdpmV7MlGnEb4BY6LW4xYqM5loL3WpZcYhs8f/Q07g3wY5w8DF9GFr5MCwU6jpgE3S58xSmW2955RaZjzi3H6MBD5Cvv79qzWNr5AZiIkxnQrbyRZEB/jFB/WlkgnLL43POKLTyh9A9MPPU6h3WyFt5AlgnyK6uaQyoX6GMv9DX7kbk7kPcdxvQdrkRp7NC+txB8QO3YOchL9iHciE9f07lXkaGZjEZR72PpdS+PaQ8Dk7avn/B9laMKIOZCYo351VZg5y0G1c5l/ASfp9G7zXB2p+bkLaxxFIQLh6IqDEMmORvnp7ldkIGdzEZZ5E2uUjyLLrNYlsSPicnZC+8nH9v1UdyIR8d1WZV5CgXJLMzkgf+DQSLK8kapMTtX4eA+7WNNrH7l+udfOQ5n2vhDSyZEL9XQ85xPZJ9JXJRO0tTGe0ytxOzX5nItIW5wHXIa8gbbsYaWTJjCOyZ+8AxxD1B87T31Cv3tHvLRJkHkUO1BxBpHu1TSNLJgwc7ID0KUehr/yO1dNNiM/zIfK2khYJMo8i/f5kYm2lFmlkyUzw+H6CzKJvmOAThel8ghxGGQ9cj1e+n+n9YTG+edPIkvHb27OI/p6DBD/j/fp2KnMvMnmyODIPICsIbkPemNS1lmn4/cU/kLZ/BDpREaunXYjGIrsupswTiC2/FXmD5ehaphHq7+817y8jExF10TdNUq4P6+cQ1FdZjP5tlpZr6J8l9Tvh2wvboO2goX7qnYB9FqPS5KTmN5B9Wtshkcljkfc9d1LjsVcJZF5EBjRpaRyPvILpEXSfmMez61KWeQ05CTkrjVeQU673QqKj/WIyJywlmdeRV8ulpXES8nq/dZABxH+IOudeKvPnpSTzBhLZTktjJuLg3a/pnUK0DzyU2WIpyuyQcf8UzXPBLJD+3wWJei8tmde1fNPS2BYJOPkHXjZBZvlbq8z2S0nmGWT2Ji2NUKcGIB3vKUQzFaGOn7wUZU7KkJmNOP9rIMHkB4hm1sM0DlG5pSFzcIbMK4gNGYQEIa5FDknsjzgwTyGDxFeWksyBGTLPAx8hA/H1kQHuRYjT2VzT2A1pC0tDZtcMmTnIW7ZeA87w2mMlMvB+CnF8Py8Tmf8h+jsMsY/3oI4wMjv5FLKta3YZyZyIrCRbGwnkPES0F7+j1s87KfdDO5OWRl6Zmcge+OuRGeEbgR4xG5xHZssSpJFH5njEBq+j15sQDYJbIZNZJ2TI/A9ZEbAkaeSV2QoJCM3Q62300wnR4XDyLU3mKZVbkjTyyoT9V19k5c/NRGczhPp7coZM2K8vSRp5ZfYm6i/WRAISHVQm7JP3K4HMS0T95JI8Zx+kvxiABBtPRwKFY5Dzr/6reVpSmReRfnJJn5PVX5SqbypVP5mnT9m8FOPSZeVT7wTssxiVJrPAD3nfhyGOwzHaWPuXSGYzxDFwKWnsiQwehiJG+CAvvXZIgGZPbZB1LXOMclmzyP1+yOzqLC9PJwEH6P9tPBn/oMu6kOmMRGq3TOGyMjJg2BA5/LAHEtA5HYn0jkTennMG0QxEXcmMQZbRpXFZBVmK3xGJlu+OzDQeAayLDIJWXYoy/XKk8X/IDIxDOuIz9dp0RL97hjJaLnUpc3MOLlV6rYLotcY3a95maH6XlkyXjPt9ka1zEzVP0xEnIjx4qy0yOL6CaMXFUpFJ4bMrMrgI6+C/yHL4PyD2sDey2uxGrx7rXCaFz67ImwqcfnZHZsQPRexHH03jBs8O1bkMkU2Ly4xCAmkh3z6alwuRmakeiJ7/03tOnct4fOMyeyLOZQdkdcCZsb64KzKQ272+ZRBH9gxk9q9Cy/dwCp3d7kggYifvWp3LeOUbl+mKbCvcRPmugAT/L0EGpWOQWeSpKfdX0DTClZRLIlOBHDZ6PWIfjkVsxvqIbvfMIdOrBGnklTkdmYxwyGA9fHPJXsisbttQRvOdJHNeCdLIJaP3zkJ0oyWyqu4GZAvELKJDnVNlSpFGDpnWSLBpkpbNUGQrh78aesVQRr8XyCBbNyE1lSIAABfYSURBVC5dkjRqIbMCYl/v02e1RFYjXI8ETGYgdmMUcJ/+ZnFlppToOSORVSChfdgMmaT6C+LzdAllvHwujszGJXpOL9L7ix6hTEa/kyUzvETP2ZqM/kv/VvjXG/LHDjJdBhHIe9i/cc7to9+fBe5AOsGmQRC8hhiYJZW5Azlsb+//b+/Mw+yoyjT++5JASNhJQthiIBoBBUUIEgOaBA2PIBMJhM2BkBkFZ1gEHCaAcVwwsq+KEZB9EUhYgwo+goCCC2EbQCFiMAYVCJFAEAjDcuaP75Rdqdx7+/a9t25V335/z1NPd1e9/Z331HrqbFUjxvfxi+wJfGzvWDObEfXLgL+FEGbjvUTy1pwevTxeZfuiuP52+Oe5vxwvjBNCeCWEsCBq7jCz/jlqluA3/ztqePkjcEII4Q78oXEj/tLzGN7zZlQI4clEY2Zr56gZiXfr+2kNL0+79bA07uMH4vFKavlfDSH8IeavHZoF+DCGWjGm412zn8Rf2hfjPRj2xntcPIt3v7zPzJ7KWTO1Di/vxOUivOvqXLy3wmK8IjKZyLUdmje62f4iPmTjruDcjBfMzojH7mX8Wj0yhHBXXNcWTQ0/P8IrfK6Px2Ee3qV1BLB1CGFRPCZDzWxOuzTV/OAFmbfwz2GGmJ9keNQGIYRnYr7fMrNpOLlr8F5ClTT349fkGfEYPIP3XnkBGBFC+AvewvWSmZ0Zj0vumtQ5kNXMBm4MIfwd7/r8YTM7ly7eCCFcB8wtWhN8Ir0L8PtbiP/zN7yCPeHv+DPyJou0QwM+0XoFzbIQwkkhhNvweWBuxoew3IK/KO+Cf3HgJzW2vwDMCiH8yMwGN6khdE0K/GYI4Zv4i+tcfC6eZ+vQLMaHQjQTo17N8XjjwwN42eyRuL/fg/dmeSXRmNn8KpqjWxCjLo2ZJWWdi/GeIZfhPcjm4j1bNornSU1NK2LUoVkfmBFCSCaNfxTvzXhS/D9CCH9ONHHVSprgk/Ue2UyMHmiex58Xg/AX5oX4vFVn49fdBPze/CAwyMzubELzQIvS+R1e7p0Zs/ERvAJuBbB5COEFvLy/3My+2qgGr3hvOp14bS+n+vPiL/hwqeXdPHe60zzQonSuB26p9UyJ/7vSZO8dTShBzYuW7hf8JrEfXd963wtv1TkgpTkNv+lNb1QT0/k+3gqyWjcxDsl4TCYITF5+zo6x+uWouQcvWH0HL2j3qxLjHLzGtl/G82fwypIJ+IvbrAr7vpWaa/FWhHOA3bqJcUpm+1ap30+Kx+jgPDXRy3l4d7vVasR4MB0D71FxKP7y+yz+0LkROCxnzRL8gZzuSlktxuGpGNem9zdeCHqQlVsyW67J7N8B3cQ4JP49Mp4/8+lqsTo45vuLeWqi36PjObN+jRjzgS+k8pBclx/AhzxMw6+DA0uguRP/RN6BqTxPBm5I6Y/GC/GHFK2Jx+DreMF3MN7b4wb85ejHUXMO/qKY3NcL0+AtTl8Gzovbt8Pv2cel8jwtHoc1itZEv/viFdLZz6qOiv97ZoxzPKt+Irvdml/ivQSn4j0p0vfpnfAehZvh82ZMI/Up3pJo0sP4Nksdgz3xSsiB2e3x9+QYDSS2iLZAk9wXDo37e2d8aM08vIJk4yqaxfgL/g3AJg3G6LEmlYfvAjNTf++f5KmSJu7fyen929MYjWrwHknfw18ok331gbjvRlTS0NWyfS1e4dvjGI1qMs+LIfi97nPEnitVND8HptTYXk+MnmjWTW1fA6/Euyq1bnzUbtCoJh6DMfj5t0Er0sF7k07Cz+d5wK1RcwT+7LZGNXTdY65oMp2v472ADkqdHxey8jPlOPyZ/W+NavDrexY+dGiNFqRzSGpdusfInXivt6lUeKZ0+lK4AS11HCR/eX8unswP4ZUAW8cL9iy8dnoiPt/Fw3FpRDM7pnM13kpzbjcxHor/s2nK60C8RfttvBbxiRw1u+GtyUui7rpuYvwOrzzZJKWZhHdnXBbjPJGj5jh8zpFr8NrjH3YT4/EkRuqmZalj8FBc8tIk511yPlxYR4wL8JfhrfGhD8/iw45exFsFHs1RswRvtT0Lb024vI4YPyBVqKiSp7w0yf69Ju7fS7qJ8TDee2gL/Nz/Ld7LYmLM90L8gZmX5rbo9zJ8IrWLu4nxKH7Nps/x4XgB4mX8eniwYM3e+L1hbty/3wM2jNvOxwuUSZ4WxP1SpGZWPAaX4i1B38VbstbBh5etFmO8gp/jD+MvzUVp9sHHE99MHNaAF+h2x+835+EV63/F788jC9bcFv1eifdq++eEjqlzZireSvk68PHkWi1CE/PzVDwGL5OaZDVuH4O3/j2HtwCOrVC+KFxD13AcS+Xpcvxlea309lS+/4o/Z0dmYzSjieuH4eWJF/B5HRbglXjbVtC8jLe6zojazRqI0ZQm6vrXylOiSe3fK2KctXoaoxlN3P9b4r0ab09pFtH1JYy05qGU3/l4hVBPYzSsyTyPB+EVIkvwityhFTT7AUvxe0ml7fXEaEQzLKP5Pl4Juhde9llIqrGqh5or4zG4GJ/LbVgr08Gvy43oOj+fwyd/HdagZu/odw5wURPp7IGXJX+Nz+90ctR8mq5nyh4xT0/hvRob0dyKP5Pm4GWrM1qQzu+B0yvcg1fHz/FlZO4hfWHR8JaSE7vg7Y6fvGfitYEb09VadSc+HvVy/IsFn8fHpjWimYRfcNvjF8/wbmLsjM89cbyZJV0O/w8vvL8K7IAXclquifvlU/hLzYq4/Z1uYuyAF8ZPSGn64S09L+M10GPy0ES/H8VfFLbAW7xCNzF2TGKwcpfg42OeDonHoOWa1Hl3Lz6ecRJe+Owuxtp4LXI//KZ6WFx3Mv6QGZuj5l68V8RxeJfl1eqIMRiYZWbDK+RpesxTyzWp/fsLvNC1G/7yVSvGOLx15Aj8gXYwXvCZjVemTcHPq7w0o/Av4WyLv+wO7ibGWPyaTZ/jS2J+3sBf6HcpShOPwVi8oPEBfBzsesDXzGxTvNJmKl4ZtQK/NncqWLMffn8YE/0OxQu8qwcfXvY2fs7/A/+E5Th8zHrbNdHn4XjlzDjgTTMbFrzL9914Jc5IvCA9CJ9df3KBmmvwe/SaeEHyEXy+l0DEzIbFPK/AX8I+bGZDi9DE7UfhhfIQ8/hc3JYMOVkrnif98d5tY8xsaNk0IYR3Y76Gxjwtw78I9TDe2+bdEIn5PhVv1LgP+Jd0jGY1cfe/EY//ofGc+FX0Mj6j+QP+Avcz/NnyfDxePYnRCg0hhHdink6rkifwe3qyfyfFuGv0JEaTmmFx9y/Ay28v4vfmAXgF18SM5gC6hrPsGvfz2z2M0YwmnaeAn7/vxe8hGwIHZPbvUPxTxQ/jz5tpPY3RhGb/jJeb8V6Bl+L3tDuBTzWg+TleVlkXn3vnbrqGzzWTzqR4jhCvy+fx8/N0/Jz5fcx3jzT4e8AReEXweGBpg+mMwhvWXsfLjnsA25rZOnhZ83x8OPoP8XeNA+N+6qlmHv5utRxvoNsf2KoF6ewBbGlmw+K9N2EyXpG+SwjhcfoaRde6aOl+wW/8FwDD49+D8YL6OSnNMXgLbMOamM61dA1tqDfGdcDslOaK+H+5aqLf++n6rFwjMYbjrRDXt0HzRbyG9RNNxNgSfwjVylOrNMfiNcoV92+NGHNYeXjGgVQ+f1uqiefDhQ3ESOdpE7xgVWu/tErzn3jtfrX9Wy3G9cB3U3n6Av6ynKsm7t/L6Jqkrd4Y2WvyALzwU7iGrnvr+zN5SlpatsALR1dX2C9FaI7CWyS3r5HnG/GeK7X2S+4avOJjW3zoxZfxlqijgI1S/786XjAdhvcKKUyT8jsCr8RLtic9bfpFzUx8Utx9CtYMjH4/j3+ucKXtUbMuXrG6faUYZdPgL3C74oX4YytsH4BXXl1dI0azmvT5sDo+/GlgFc2a8RgMbiJGs5r0OTMEL/NUy/dAvKL33Cr7t54YzWqGZ67JHfAemato6Lom18EbsHocowWa7DW5LaveQ7LX5EBq30NqxWhWk953Q/CGy5FNaNbEz5mJ+L2m1ekkebKoOwOfT6NRTbJfZuDvK42mMxrv4bINXkk7BJ/HbpvUOTMar4xct1FN3L4fXrm3fovT+TWpXk3x53R8zrDC322LWAo3oKXKgfGC10C8EDASb4WaRNeXBgbjk0ju26RmNF4rvX8TMQZFzT5t0Lwv+t23BelMwVtntslRk/jdB6+Vn9NEOpPj8Xh/jprE7154N/XrGogxGB+aU+sYtEozGm+tqnY+1BMjydNn4++jc9Qk+3dK9HJtAzFade23+/6wd0k0yTGYWiNPT6SOQdGa0XgvjylVtrfz/luPJjln9s080/bB5146Ch+fPxYYXALN1/BC8M7dxNixjnTaoUn8fqyeGKw830JZNUmePhrXD6gSY/sYY0CNdFqladkxaJNmh5infjX8Jp8L7tdAjFZrdqpj/3Z3TdaK0WrNmDr8jm0iRtk07c7TR5vUJH7HtSid9NxISYXB1XjjRHLONKPZGe+NvFPO6WwRf98unee+uhRuQEuFg+ITWj6Bj5G/Fh+GkkzqtVv8+zN4d7zbm9AcFNN5FO8ilVc6ZfV7R86anvjN20sRfnU+aP+WTdPb8tSb/f6CVcd274N3wV2Od8O9tWDNt/FhUIvwLr8f7ybGvDrSyVOT9fuJGjHeqmO/lEHTk2PQTr+tOmd62zkuv53tt8x5asd9scfpECsU8AlYD8fnzXgFn/S0Ec184Gl8qNCrxMrTHNL5Cd6QelBMb0My80b1taVwA1pSB8O7VI3AW6Yn4MMdZsSTelO8wHklXZMXvQh8rEHNDfi4zmvwMcGn55SO/Mqv/MpvGTS9LU+93e+p+BwTH8w835bhcx+Mx+ffabuGlZ+1P8O/vnGm/CpP8iu/nei3E/OUs9//qqC5Hq9geBz/GmCPNKl0XsIbMX6LP9dbmk7qnfJS/Ll8X3p9X14KN6Alc0B8LNZFeEEy6aL0ZeDPeKvaJng35wfxyW8a1WyGz05/BrBljunIr/zKr/yWQdPb8tQJfo/G5zFK5kzZlK5JFK1IDf6svQqfjHI7+VWe5Fd+O9lvJ+apTX6T59nZeEXDJxrVRL+P4Z+f3iqvdOLfZwF/JNOrpS8vhRvQEg+EjzPfEZ985npgRmb7ifiEceOa1JyBd9vaOOd05Ld4L/JbvEZ+i9f0tjx1mt8Z+ISnu8QYNxasOQ3/nOSm0e9X5Vd5kl/57WC/nZindvq9CZ83Yz98KGcjmtPi+mF4L49Tc0pnBj6BcH/8Ky+j0tv7+jIAUThmtif+Gc1leFela4DvmFn/EMIpUfYCPqv5ho1qYjp74rP7zswrHfmVX/mV3zJoelueOtTvUny45tAY44qiNNHv5Oj3xJTfd+RXeZJf+e00v52YpwL8jscrRR7He+L3SJPyux7wdbwHxnfM7JVWphM1c4CZIYR38Lm3RApVehSMmY3DW8o+F0J4xMwuwmcOHgf8xsz6AwuAWfhYs73wGsOeajYHPomPzZ6Mf+M7j3TkV37lV37LoOlteZJf+e3NfjsxT/Irv73ZbyfmqSi/U/B5qnqqyfpdO6d0+uNfW9wF+IiZbRBCeAmxMnl0H9FS/4KfsNNTfw8Dfhx/H4VPRHMTPivxtk1ofgTcBTxE17e980hHfuVXfuW3DJrelif5ld/e7LcT8yS/8tub/XZinuS3umZ2kk4Ixb/flnEp3EBfX/BxV+ukft8MeATYOK4biX97erMmNVsA6+PdwfJMR36L9yK/xWvkt3hNb8uT/Mpvb/bbiXmSX/ntzX47MU/yW10zAFg3hOLfbcu6FG5AS+pg+Am7FnBX/Psg4EJgUCs17UpHfov3Ir/Fa8rkpRP9dmKeyuRFfovXlMlLX81TmbzIb/GaMnnpq3kqk5ey+dVSeSncgJYKBwUuB06hRjelVmjalY78Fu9FfovXlMlLJ/rtxDyVyYv8Fq8pk5e+mqcyeZHf4jVl8tJX81QmL2XzqyWzz4o2oCV1MMDwLkwLgcXA6Dw07UpHfov3Ir/Fa8rkpRP9dmKeyuRFfovXlMlLX81TmbzIb/GaMnnpq3kqk5ey+dVSeSncgJYKBwWmAx/MW9OudOS3eC/yW7ymTF460W8n5qlMXuS3eE2ZvPTVPJXJi/wWrymTl76apzJ5KZtfLSsvFnecKBFmZqGbA9MKTbvSkd/ivchv8ZoyeelEv/VoyuRFfovXlMlLJ/qtR1MmL/JbvKZMXjrRbz2aMnmR3+Y0YmVU6SGEEEIIIYQQQoiOpF/RBoQQQgghhBBCCCHyQJUeQgghhBBCCCGE6EhU6SGEEEIIIYQQQoiORJUeQgghhBBCCCGE6EhU6SGEEEKItmJmi8zsnqJ91MLMLjczzfYuhBBC9HJU6SGEEEKIXoWZHWNm01sQZ7qZHdMCS0IIIYQoKfpkrRBCCCHaipktAhaFECYU8f+pOPcAm4cQNq+wbTWgfwhhRTNpCCGEEKJYBhRtQAghhBCibIQQ3gLeKtqHEEIIIZpDw1uEEEIIkQtmNsLM5pjZK2a23MxuM7P3VtHub2bzzGyxmb1pZkvN7BYz+1BGF4CRwHgzC6ll85RmjJndHGO8aWYLzGymmQ1IaRYB44GRmTgT4vZV5vRI1pnZkPj7UjN7NfrcKGoOM7MnzWyFmT1lZp+tkd/74v+/bma/NbOpPd/LQgghhKiFenoIIYQQouWY2XrAL4ARwAXA7/FKhruBQRX+5Ujg78BFwPPAe4HDgPvNbPsQwtNRdzBwDrAU+Hbq/1+M6X4GuAn4I3AW8BLwMeAkYDtg36g/BjgFGAocm4rzZB3ZuwP4C/A14H3Al4Cbzeym6PkSYEVcf4OZvT+E8KfUvpkFzIxx/gd4F5gCzDWzI0MI36vDgxBCCCHqQHN6CCGEEKLlmNnJwInAv4cQLkutPxc4Grg3PSeHma0ZQngtE2Nr4FHgkhDC4an1i6gwp4eZrQEsAv4A7BpCeDu17VjgbGBiCOGeuO4eqs/pcTlwSAjBsuuA2SGEI1Lrz8YrTp4FtgkhLI/rPwT8L3BqCOHEuG574CHglBDCVzJp3gLsCmwaQng160kIIYQQPUfDW4QQQgiRB3sBLwBXZtafVkmcVHiYs46ZDcV7bywAdqozzUnAcOAyYD0zG5oswE+iZreeZaMi52b+/mX8eWVS4QEQQngMWA6MTmn/FQjAFWl/0eM8YG28Z4oQQgghWoCGtwghhBAiD0YB80MI76RXhhCeM7OXs2Iz+wjwLWACsGZm85+y+ipsHX9eWkMzvM5YtXgm8/ey+LOSz2XAkNTfWwMGPFUjfis8CiGEEAJVegghhBCiYMzsPfj8H8vxio8FwGt4j4hzgbXqDRV//jc+LKYSf2vcqZOtyElRbb1lfg/A7jX0v2vQmhBCCCEyqNJDCCGEEHnwDDDazPqnKwnMbGNgvYx2Cl6xMTmEcHd6g5kNAd7M6KtNSJZMdvpaCOHOOjwWMbHZ08CngcUhhHomTRVCCCFEE2hODyGEEELkwa34MI1pmfXHV9AmlSLpHhGY2aHARhX0/wA2qLD+p8AS4AQzW2W7mQ0ys7UzcdY3M8tqc+Sq+PNkM+uf3WhmGtoihBBCtBD19BBCCCFEHpwOfA74gZntgA/ZmIBP0rk0o70deB24yszOx+fB2BnYA1jIquWV3wCfN7Nv4Z+YfRe4LYTwmplNA24BFpjZpfina9cDtgL2xnuV3JOKsydwvpn9Cq98+XkIYUkrdkAlQgjzzewbwDeAR81sLj7kZmNgBzzPq+eVvhBCCNHXUKWHEEIIIVpOCGGZmX0c/0xs0tvjXmAicFdGu9DMdgdOBr6CVz7cD4wHzgc2z4Sfiff0OAKv0DBgC3xYy0/NbEfgBOAgYBheibIwenksFeccfMLVqcB/4D1gJ+K9RXIjhPBNM3sQ+BJwDD5x6xLgibhOCCGEEC3CQihiOKsQQgghhBBCCCFEvmhODyGEEEIIIYQQQnQkqvQQQgghhBBCCCFER6JKDyGEEEIIIYQQQnQkqvQQQgghhBBCCCFER6JKDyGEEEIIIYQQQnQkqvQQQgghhBBCCCFER6JKDyGEEEIIIYQQQnQkqvQQQgghhBBCCCFER6JKDyGEEEIIIYQQQnQk/w/YW7qPiS3W8gAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 1296x648 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":427},"id":"BC5_N82NzxCW","executionInfo":{"status":"ok","timestamp":1618469890673,"user_tz":-540,"elapsed":39387,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}},"outputId":"99c8cd9c-14c5-483b-a713-86530ae4a997"},"source":["stockPriceClose=stockPrice[['close']]\n","#학습용 데이터와 테스트용 데이터로 분리\n","train_data=pd.DataFrame(stockPriceClose.loc[:'2014-09-01',['close']])\n","test_data=pd.DataFrame(stockPriceClose.loc['2014-09-01':,['close']])\n","#분리된 데이터 \n","plt.figure(figsize = (18,9))\n","plt.plot(train_data)\n","plt.plot(test_data)\n","plt.legend(['train', 'test'])\n","plt.show()"],"execution_count":251,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 1296x648 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"cQ-3A2zI40J_","executionInfo":{"status":"ok","timestamp":1618469890674,"user_tz":-540,"elapsed":29978,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}}},"source":["from sklearn.preprocessing import MinMaxScaler \n","scaler = MinMaxScaler() \n","train_data_sc=scaler.fit_transform(train_data)\n","test_data_sc= scaler.transform(test_data)"],"execution_count":252,"outputs":[]},{"cell_type":"code","metadata":{"id":"vis63lbk0Cfo","executionInfo":{"status":"ok","timestamp":1618469890675,"user_tz":-540,"elapsed":24478,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}}},"source":["#학습 데이터와 테스트 데이터( ndarray)를 데이터프레임으로 변형한다.\n","train_sc_df = pd.DataFrame(train_data_sc, columns=['Scaled'], index=train_data.index)\n","test_sc_df = pd.DataFrame(test_data_sc, columns=['Scaled'], index=test_data.index)\n","#LSTM은 과거의 데이터를 기반으로 미래을 예측하는 모델이다. \n","#따라서, 과거 데이터를 몇 개 사용해서 예측할 지 정해야 한다. 여기서는 30개(한 달)를 사용한다.  \n","past_data = 30\n","for i in range(1, past_data + 1):\n","    train_sc_df ['Scaled_{}'.format(i)]=train_sc_df ['Scaled'].shift(i)\n","    test_sc_df ['Scaled_{}'.format(i)]=test_sc_df ['Scaled'].shift(i)\n","\n","#nan 값이 있는 로우를 삭제하고 X값과 Y값을 생성한다.\n","x_train=train_sc_df.dropna().drop('Scaled', axis=1)\n","y_train=train_sc_df.dropna()[['Scaled']]\n","\n","x_test=test_sc_df.dropna().drop('Scaled', axis=1)\n","y_test=test_sc_df.dropna()[['Scaled']]"],"execution_count":253,"outputs":[]},{"cell_type":"code","metadata":{"id":"seRlsqPd5IU-","executionInfo":{"status":"ok","timestamp":1618469890675,"user_tz":-540,"elapsed":22161,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}}},"source":["#대부분의 기계학습 모델은 데이터프레임 대신 ndarray구조를 입력 값으로 사용한다.\n","#ndarray로 변환한다.\n","x_train=x_train.values\n","x_test=x_test.values\n","\n","y_train=y_train.values\n","y_test=y_test.values"],"execution_count":254,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ob1QjNDr5ISX","executionInfo":{"status":"ok","timestamp":1618470281524,"user_tz":-540,"elapsed":1207,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}},"outputId":"fb1dff0c-cf58-4bef-bb21-07324f148f23"},"source":["#LSTM 모델에 맞게 데이터 셋 변형\n","x_train_t = x_train.reshape(x_train.shape[0], past_data,1)\n","x_test_t = x_test.reshape(x_test.shape[0], past_data, 1)\n","\n","from keras.layers import LSTM \n","from keras.models import Sequential \n","from keras.layers import Dense \n","import keras.backend as K \n","from keras.callbacks import EarlyStopping \n","\n","with tf.device('/device:GPU:0'):\n","    K.clear_session() \n","    # Sequeatial Model\n","    model = Sequential() \n","    # 첫번째 LSTM 레이어\n","    model.add(LSTM(30,return_sequences=True, input_shape=(past_data, 1))) \n","    # 두번째 LSTM 레이어\n","    model.add(LSTM(42,return_sequences=False))  \n","    # 예측값 1개\n","    model.add(Dense(1, activation='linear')) \n","    # 손실함수 지정 - 예측 값과 실제 값의 차이를 계산한다. MSE가 사용된다. \n","    # 최적화기 지정 - 일반적으로 adam을 사용한다.\n","    model.compile(loss='mean_squared_error', optimizer='adam') \n","model.summary()"],"execution_count":261,"outputs":[{"output_type":"stream","text":["Model: \"sequential\"\n","_________________________________________________________________\n","Layer (type)                 Output Shape              Param #   \n","=================================================================\n","lstm (LSTM)                  (None, 30, 30)            3840      \n","_________________________________________________________________\n","lstm_1 (LSTM)                (None, 42)                12264     \n","_________________________________________________________________\n","dense (Dense)                (None, 1)                 43        \n","=================================================================\n","Total params: 16,147\n","Trainable params: 16,147\n","Non-trainable params: 0\n","_________________________________________________________________\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"P-8K6YbI5IJS","executionInfo":{"status":"ok","timestamp":1618470442896,"user_tz":-540,"elapsed":162433,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}},"outputId":"99d1f72d-2019-4f61-ad27-f06bea0f3f55"},"source":["#손실 값(loss)를 모니터링해서 성능이 더이상 좋아지지 않으면 epoch를 중단한다.\n","#vervose=1은 화면에 출력\n","early_stop = EarlyStopping(monitor='loss', patience=20, verbose=1)\n","\n","#epochs는 훈련 반복 횟수를 지정하고 batch_size는 한 번 훈련할 때 입력되는 데이터 크기를 지정한다.\n","model.fit(x_train_t, y_train, epochs=500,\n","          batch_size=20, verbose=1, callbacks=[early_stop])\n","\n","y_pred = model.predict(x_test_t)"],"execution_count":262,"outputs":[{"output_type":"stream","text":["Epoch 1/500\n","177/177 [==============================] - 3s 5ms/step - loss: 0.0205\n","Epoch 2/500\n","177/177 [==============================] - 1s 5ms/step - loss: 0.0023\n","Epoch 3/500\n","177/177 [==============================] - 1s 5ms/step - loss: 0.0018\n","Epoch 4/500\n","177/177 [==============================] - 1s 5ms/step - loss: 0.0014\n","Epoch 5/500\n","177/177 [==============================] - 1s 5ms/step - loss: 0.0014\n","Epoch 6/500\n","177/177 [==============================] - 1s 5ms/step - loss: 9.7624e-04\n","Epoch 7/500\n","177/177 [==============================] - 1s 5ms/step - loss: 0.0010\n","Epoch 8/500\n","177/177 [==============================] - 1s 5ms/step - loss: 8.2457e-04\n","Epoch 9/500\n","177/177 [==============================] - 1s 5ms/step - loss: 6.8268e-04\n","Epoch 10/500\n","177/177 [==============================] - 1s 5ms/step - loss: 8.4759e-04\n","Epoch 11/500\n","177/177 [==============================] - 1s 5ms/step - loss: 7.1951e-04\n","Epoch 12/500\n","177/177 [==============================] - 1s 5ms/step - loss: 7.7872e-04\n","Epoch 13/500\n","177/177 [==============================] - 1s 5ms/step - loss: 7.4505e-04\n","Epoch 14/500\n","177/177 [==============================] - 1s 5ms/step - loss: 7.3052e-04\n","Epoch 15/500\n","177/177 [==============================] - 1s 5ms/step - loss: 7.8692e-04\n","Epoch 16/500\n","177/177 [==============================] - 1s 5ms/step - loss: 6.2892e-04\n","Epoch 17/500\n","177/177 [==============================] - 1s 5ms/step - loss: 6.5124e-04\n","Epoch 18/500\n","177/177 [==============================] - 1s 5ms/step - loss: 5.9296e-04\n","Epoch 19/500\n","177/177 [==============================] - 1s 5ms/step - loss: 6.9178e-04\n","Epoch 20/500\n","177/177 [==============================] - 1s 5ms/step - loss: 5.5633e-04\n","Epoch 21/500\n","177/177 [==============================] - 1s 5ms/step - loss: 6.3992e-04\n","Epoch 22/500\n","177/177 [==============================] - 1s 5ms/step - loss: 5.8952e-04\n","Epoch 23/500\n","177/177 [==============================] - 1s 5ms/step - loss: 5.7950e-04\n","Epoch 24/500\n","177/177 [==============================] - 1s 5ms/step - loss: 5.2788e-04\n","Epoch 25/500\n","177/177 [==============================] - 1s 5ms/step - loss: 6.5108e-04\n","Epoch 26/500\n","177/177 [==============================] - 1s 5ms/step - loss: 5.0425e-04\n","Epoch 27/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.5896e-04\n","Epoch 28/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.6643e-04\n","Epoch 29/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.8414e-04\n","Epoch 30/500\n","177/177 [==============================] - 1s 5ms/step - loss: 5.4549e-04\n","Epoch 31/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.9038e-04\n","Epoch 32/500\n","177/177 [==============================] - 1s 5ms/step - loss: 5.4205e-04\n","Epoch 33/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.0088e-04\n","Epoch 34/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.3367e-04\n","Epoch 35/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.9918e-04\n","Epoch 36/500\n","177/177 [==============================] - 1s 5ms/step - loss: 5.6201e-04\n","Epoch 37/500\n","177/177 [==============================] - 1s 5ms/step - loss: 5.7873e-04\n","Epoch 38/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.1999e-04\n","Epoch 39/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.4610e-04\n","Epoch 40/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.5658e-04\n","Epoch 41/500\n","177/177 [==============================] - 1s 6ms/step - loss: 4.8201e-04\n","Epoch 42/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.7677e-04\n","Epoch 43/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.3290e-04\n","Epoch 44/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.8056e-04\n","Epoch 45/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.7489e-04\n","Epoch 46/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.9844e-04\n","Epoch 47/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.7710e-04\n","Epoch 48/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.4213e-04\n","Epoch 49/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.5613e-04\n","Epoch 50/500\n","177/177 [==============================] - 1s 5ms/step - loss: 6.0518e-04\n","Epoch 51/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.7026e-04\n","Epoch 52/500\n","177/177 [==============================] - 1s 6ms/step - loss: 4.1603e-04\n","Epoch 53/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.9298e-04\n","Epoch 54/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.5544e-04\n","Epoch 55/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.3484e-04\n","Epoch 56/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.0705e-04\n","Epoch 57/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.6306e-04\n","Epoch 58/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.4719e-04\n","Epoch 59/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.5216e-04\n","Epoch 60/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.5164e-04\n","Epoch 61/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.3108e-04\n","Epoch 62/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.5052e-04\n","Epoch 63/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.2894e-04\n","Epoch 64/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.0565e-04\n","Epoch 65/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.8852e-04\n","Epoch 66/500\n","177/177 [==============================] - 1s 5ms/step - loss: 4.2044e-04\n","Epoch 67/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.0937e-04\n","Epoch 68/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.3519e-04\n","Epoch 69/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.0679e-04\n","Epoch 70/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.9116e-04\n","Epoch 71/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.3099e-04\n","Epoch 72/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.9226e-04\n","Epoch 73/500\n","177/177 [==============================] - 1s 6ms/step - loss: 3.2779e-04\n","Epoch 74/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.7421e-04\n","Epoch 75/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.3627e-04\n","Epoch 76/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.9425e-04\n","Epoch 77/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.6760e-04\n","Epoch 78/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.1594e-04\n","Epoch 79/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.9106e-04\n","Epoch 80/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.9578e-04\n","Epoch 81/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.1640e-04\n","Epoch 82/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.7149e-04\n","Epoch 83/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.2868e-04\n","Epoch 84/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.8298e-04\n","Epoch 85/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.6245e-04\n","Epoch 86/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.9185e-04\n","Epoch 87/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.9152e-04\n","Epoch 88/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.5058e-04\n","Epoch 89/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.2273e-04\n","Epoch 90/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.1852e-04\n","Epoch 91/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.1985e-04\n","Epoch 92/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.2896e-04\n","Epoch 93/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.2187e-04\n","Epoch 94/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.1099e-04\n","Epoch 95/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.8303e-04\n","Epoch 96/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.2355e-04\n","Epoch 97/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.8389e-04\n","Epoch 98/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.8348e-04\n","Epoch 99/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.9077e-04\n","Epoch 100/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.5199e-04\n","Epoch 101/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.6131e-04\n","Epoch 102/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.8216e-04\n","Epoch 103/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.6608e-04\n","Epoch 104/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.2218e-04\n","Epoch 105/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.8452e-04\n","Epoch 106/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.8057e-04\n","Epoch 107/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.8671e-04\n","Epoch 108/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.6721e-04\n","Epoch 109/500\n","177/177 [==============================] - 1s 6ms/step - loss: 3.0235e-04\n","Epoch 110/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.6645e-04\n","Epoch 111/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.7924e-04\n","Epoch 112/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.4173e-04\n","Epoch 113/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.7342e-04\n","Epoch 114/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.3845e-04\n","Epoch 115/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.4012e-04\n","Epoch 116/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.5563e-04\n","Epoch 117/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.8222e-04\n","Epoch 118/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.0259e-04\n","Epoch 119/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.4070e-04\n","Epoch 120/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.4300e-04\n","Epoch 121/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.1853e-04\n","Epoch 122/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.3642e-04\n","Epoch 123/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.3457e-04\n","Epoch 124/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.5148e-04\n","Epoch 125/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.4214e-04\n","Epoch 126/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.3508e-04\n","Epoch 127/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.2134e-04\n","Epoch 128/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.7382e-04\n","Epoch 129/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.6963e-04\n","Epoch 130/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.7796e-04\n","Epoch 131/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.4030e-04\n","Epoch 132/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.7394e-04\n","Epoch 133/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.8084e-04\n","Epoch 134/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.0594e-04\n","Epoch 135/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.3048e-04\n","Epoch 136/500\n","177/177 [==============================] - 1s 5ms/step - loss: 3.0894e-04\n","Epoch 137/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.4147e-04\n","Epoch 138/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.0795e-04\n","Epoch 139/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.7398e-04\n","Epoch 140/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.4607e-04\n","Epoch 141/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.6932e-04\n","Epoch 142/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.2722e-04\n","Epoch 143/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.6156e-04\n","Epoch 144/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.1468e-04\n","Epoch 145/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.3790e-04\n","Epoch 146/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.1643e-04\n","Epoch 147/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.2392e-04\n","Epoch 148/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.4534e-04\n","Epoch 149/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.2397e-04\n","Epoch 150/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.8107e-04\n","Epoch 151/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.7866e-04\n","Epoch 152/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.2104e-04\n","Epoch 153/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.5019e-04\n","Epoch 154/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.3589e-04\n","Epoch 155/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.3549e-04\n","Epoch 156/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.0831e-04\n","Epoch 157/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.7295e-04\n","Epoch 158/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.4047e-04\n","Epoch 159/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.4800e-04\n","Epoch 160/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.5451e-04\n","Epoch 161/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.0400e-04\n","Epoch 162/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.2752e-04\n","Epoch 163/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.5406e-04\n","Epoch 164/500\n","177/177 [==============================] - 1s 5ms/step - loss: 2.1689e-04\n","Epoch 165/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.4856e-04\n","Epoch 166/500\n","177/177 [==============================] - 1s 6ms/step - loss: 2.3245e-04\n","Epoch 00166: early stopping\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":541},"id":"cbKXdgYI5ar6","executionInfo":{"status":"ok","timestamp":1618470455132,"user_tz":-540,"elapsed":174536,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}},"outputId":"b52fd132-af5c-4239-d500-9df67acbff06"},"source":["#테스트의 Y값(실측값) 과 예측값을 비교한다.\n","t_df=test_sc_df.dropna()\n","y_test_df=pd.DataFrame(y_test, columns=['close'], index=t_df.index)\n","y_pred_df=pd.DataFrame(y_pred, columns=['close'], index=t_df.index)\n","\n","plt.figure(figsize = (18,9))\n","plt.plot(y_test_df)\n","plt.plot(y_pred_df)\n","# ax1=y_test_df.plot()\n","# y_pred_df.plot(ax=ax1)\n","plt.legend(['test','pred'])\n","plt.show()"],"execution_count":263,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAABBEAAAIMCAYAAACjYzQUAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeZicVZn38d+pvar3dDpJZyPBQBLWEMImMi+CCCjCDKKI4q6468z4Im6gor4uMzLjggsCooMwCuICAgYQ2QlLCCGEQBISsnSW3rfaq877Ry29Jt2dVPXTVfX9XFeudD3Pqaq7m1zO1K/vcx9jrRUAAAAAAMBYXE4XAAAAAAAASgMhAgAAAAAAGBdCBAAAAAAAMC6ECAAAAAAAYFwIEQAAAAAAwLgQIgAAAAAAgHEZM0QwxgSMMU8ZY543xrxojPnGKGs+YIxpNcasyf75SHHKBQAAAAAATvGMY01M0hnW2j5jjFfSo8aYe6y1Tw5b9ztr7acLXyIAAAAAAJgKxgwRrLVWUl/2oTf7xxazKAAAAAAAMPWMayaCMcZtjFkjaa+k+6y1q0ZZ9nZjzFpjzO3GmHkFrRIAAAAAADjOZBoNxrnYmHpJf5T0GWvtukHXGyX1WWtjxpiPSbrYWnvGKM+/TNJlklRVVXX8kiVLDrZ+AAAAAABQYM8++2ybtbZp+PUJhQiSZIy5SlLYWvuf+7jvltRhra3b3+usWLHCPvPMMxN6bwAAAAAAUHzGmGettSuGXx/P6QxN2Q4EGWOCks6StGHYmuZBD8+X9NLBlQsAAAAAAKaa8ZzO0Czp19kOA5ek31tr7zLGXC3pGWvtXyR91hhzvqSkpA5JHyhWwQAAAAAAwBkT3s5QKGxnAAAAAABgatrXdobxdCJMmkQioR07digajTpdSlEFAgHNnTtXXq/X6VIAAAAAABi3KRUi7NixQzU1NVqwYIGMMU6XUxTWWrW3t2vHjh1auHCh0+UAAAAAADBuYw5WnEzRaFSNjY1lGyBIkjFGjY2NZd9tAQAAAAAoP1MqRJBU1gFCTiV8jwAAAACA8jPlQgQndXV16ac//ekBPfe///u/FQ6HC1wRAAAAAABTByHCIIQIAAAAAADs25QarOi0L37xi9q8ebOWLVums846SzNmzNDvf/97xWIx/cu//Iu+8Y1vqL+/X+985zu1Y8cOpVIpXXnlldqzZ49aWlr0xje+UdOnT9eDDz7o9LcCAAAAAEDBTdkQ4Rt3vqj1LT0Ffc0jZtfqa287cp/3v/vd72rdunVas2aNVq5cqdtvv11PPfWUrLU6//zz9fDDD6u1tVWzZ8/WX//6V0lSd3e36urqdM011+jBBx/U9OnTC1ozAAAAAABTBdsZ9mHlypVauXKljjvuOC1fvlwbNmzQxo0bdfTRR+u+++7TFVdcoUceeUR1dXVOlwoAAAAAwKSYsp0I++sYmAzWWn3pS1/Sxz72sRH3Vq9erbvvvltf/epXdeaZZ+qqq65yoEIAAAAAACYXnQiD1NTUqLe3V5J09tln68Ybb1RfX58kaefOndq7d69aWloUCoV06aWX6vLLL9fq1atHPBcAAAAAgHI0ZTsRnNDY2KhTTz1VRx11lM4991y9+93v1imnnCJJqq6u1s0336xNmzbp8ssvl8vlktfr1c9+9jNJ0mWXXaZzzjlHs2fPZrAiAAAAAKAsGWutI2+8YsUK+8wzzwy59tJLL2np0qWO1DPZKul7BQAAAACUFmPMs9baFcOvs50BAAAAAACMCyECAAAAAAAYF0IEAAAAAACKwKnxAcVEiAAAAAAAQBG8/WeP61O3rHa6jIIiRAAAAAAAoAja+uLyuIzTZRQUIQIAAAAAAEXQFY6rIeRzuoyCIkQoon/84x8677zznC4DAAAAADDJkqm0eqJJ1QW9TpdSUIQIByCVSjldAgAAAABgCuuJJiVJDSFChLK2detWLVmyRO95z3u0dOlSXXTRRQqHw1qwYIGuuOIKLV++XLfddptWrlypU045RcuXL9c73vEO9fX1SZLuvfdeLVmyRMuXL9cdd9zh8HcDAAAAAHBCZzguSaovs+0MHqcL2Kd7vijtfqGwrznraOnc74657OWXX9YNN9ygU089VR/60If005/+VJLU2Nio1atXq62tTRdeeKHuv/9+VVVV6Xvf+56uueYafeELX9BHP/pR/f3vf9eiRYt08cUXF7Z+AAAAAEBJ6AonJEn1dCKUv3nz5unUU0+VJF166aV69NFHJSkfCjz55JNav369Tj31VC1btky//vWv9dprr2nDhg1auHChDjvsMBljdOmllzr2PQAAAAAAnNOV7UQot8GKU7cTYRwdA8VijBn1cVVVlSTJWquzzjpLt95665B1a9asmZwCAQAAAABTWiedCJVj27ZteuKJJyRJt9xyi97whjcMuX/yySfrscce06ZNmyRJ/f39euWVV7RkyRJt3bpVmzdvlqQRIQMAAAAAoDLs6opIkmbWBhyupLAIEUaxePFiXXvttVq6dKk6Ozv1iU98Ysj9pqYm3XTTTbrkkkt0zDHH6JRTTtGGDRsUCAR03XXX6a1vfauWL1+uGTNmOPQdAAAAAACctLMrounVPgW8bqdLKaipu53BQR6PRzfffPOQa1u3bh3y+IwzztDTTz894rnnnHOONmzYUMzyAAAAAABT2H3r9+h/n96uo+fUOV1KwdGJAAAAAABAAX33npckZboRyg0hwjALFizQunXrnC4DAAAAAFCiTj60UZJ07lGzHK6k8AgRAAAAAAAoIK8781H76+cf6XAlhTflQgRrrdMlFF0lfI8AAAAAUKkSqbQaq3z5MKGcTKnvKBAIqL29vaw/ZFtr1d7erkCgvI75AAAAAABkpNJWHrdxuoyimFKnM8ydO1c7duxQa2ur06UUVSAQ0Ny5c50uAwAAAABQBImUlcc1pX5nXzBTKkTwer1auHCh02UAAAAAAHDAUul02XYilGc0AgAAAACAQxJpK7eLEAEAAAAAAIwhlbLyECIAAAAAAICxJNPlOxOhPL8rAAAAAAAckmQmAgAAAAAAGI9Umu0MAAAAAABgHBKpNNsZAAAAAADA2FJpy3YGAAAAAAAwtkSKIx4BAAAAAMA4pNJWXnd5ftwuz+8KAAAAAACHJFJpOhEAAAAAAMDYOJ0BAAAAAACMS2awYnl+3C7P7woAAAAAAIck0mk6EQAAAAAAwNhSKbYzAAAAAACAcUikrTxuQgQAAAAAAMpSdzihVNoW5LUygxXL8+N2eX5XAAAAAACMUzyZ1rFXr9TX/rKuIK/HEY8AAAAAAJSpnmhCknTzk9sK8noc8QgAAAAAQJnqjSYL+npJjngEAAAAAKA89WY7EQolmeKIRwAAAAAAytLgToT+2MF1JaTTVmmryj2dwRgTMMY8ZYx53hjzojHmG6Os8RtjfmeM2WSMWWWMWVCMYgEAAAAAKLSeyEAnQmtv7KBeK5k94aGSOxFiks6w1h4raZmkc4wxJw9b82FJndbaRZL+S9L3ClsmAAAAAADFMbgToa3v4EKE3DGRFTsTwWb0ZR96s3+GH555gaRfZ7++XdKZxpjyjF0AAAAAAGWlZ9BMhCc2tx/UayXSaUmV3YkgY4zbGLNG0l5J91lrVw1bMkfSdkmy1iYldUtqHOV1LjPGPGOMeaa1tfXgKgcAAAAAoAAGdyL84L5XtHZH1wG/ViqV+Z27u5JDBGttylq7TNJcSScaY446kDez1l5nrV1hrV3R1NR0IC8BAAAAAEBB9UaTCngHPh73RA58uGIsme1EqNTtDINZa7skPSjpnGG3dkqaJ0nGGI+kOkkH1wMCAAAAAMAk6I0m1BDy5R9HEqkDfq1fPvKqjJGOnlNXiNKmnPGcztBkjKnPfh2UdJakDcOW/UXS+7NfXyTp79ba4XMTAAAAAACYcnqiCdUEPLr87MWSpL5YYoxnjC6aSOn3z2zX+cfO1rJ59YUsccoYTydCs6QHjTFrJT2tzEyEu4wxVxtjzs+uuUFSozFmk6R/l/TF4pQLAAAAAEBh9UaTqgl49Y4VcyVJfdGxtzPctbZF2zvCQ67d8OgW9UaTeueKeUWpcyrwjLXAWrtW0nGjXL9q0NdRSe8obGkAAAAAABRfbzSpxmqfavxeSVJfbP/bGdJpq0/f8pzqgl49/7U356/fsmqb/s/hTXr960acM1A2ynPSAwAAAAAA49QbTagm4FXA65LbZcbcztAXz3QqdEcy65KptPb2RLWzK6ITFjTImPI8mUEaRycCAAAAAADlrDeaVG3AI2OMqv2eMbczDL6/syui792zQX95vkWStGhGdVFrdRqdCAAAAACAimWtzc9EkKRqv0e9sUxIsOrVdh151b3a0xMd8py+2ECI8M6fP5EPECRCBAAAAAAAylYsmVY8lVZNINOoX+33qD8bElzxh7Xqj6e0bmf3kOf0DutEGGxuQ6jIFTuLEAEAAAAAULF6opm5BrW5ECHgUV8sKWuttrZnTl9IpNJDntObfc6hTVUjXi/gdRezXMcRIgAAAAAAKlauqyC3nWFmrV/bOyJDOgxyAxRzctsZrnzrEZNU5dRBiAAAAAAAqFiReOY4x6Av00Fw9Jx6besI66FXWvNreiJDBy3mBisuaa7R195WWUECIQIAAAAAoGLltir43JmPx8fOrZMk3fzkNnndmaMa99WJUO33aGZtIH/99MVNRa/XaYQIAAAAAICKFU9mQwRP5uPxvGmZwYgv7erREc21qg9583MTcnqiSRkjVfk8+YGMh06v0s8vPX4SK3cGIQIAAAAAoGIlUlaS5M12IlT7Pfl7x8ytV13QO6IToSeSULXfI5fLaEFjZrji24+fW/ZDFSXJM/YSAAAAAADKUzyVmYmQ60SoGhQizJ8WUm3Aq55hIcLOroia6zLbGOZNC+mJL52hmTUBVQJCBAAAAABAxYonc50ImfkHuTBBkuqC3hGdCNFESjs7I5pTH8xfa64b+LrcsZ0BAAAAAFCx4tnBin7PyI/HtcNChEc3tmnJlfdq/a4ezWmonOBgMEIEAAAAAEDFyg9WdI+cZ1AX9Ko26FFP9kjHmx7fmr83pz40KfVNNYQIAAAAAICKlTvi0esxI+7VBj2qHdSJsHFvrySpxu/R8Yc0TF6RUwgzEQAAAAAAFWugE2Hk79jrgl7VBryKJ9OKJlKKxFO65MR5+s6Fx0x2mVMGnQgAAAAAgIo10IkweohQF/RKyhzrGEmkKuIYx/0hRAAAAAAAlL3ucEKptB1xPbafToRqf2Y7gyT1RBOKJlIKEiIAAAAAAFC+eqIJHXv1Sv3nypdH3Mt1IgwOEV7XVCVJMsbkOxHa++JKpCwhgtMFAAAAAABQTO19cUnSnc+3jLgXT6blcRm5XAODFe/45Kl66PLTJUm1gcwowT29MUmq+O0MDFYEAAAAAJS13mjmdAWPa+QJDIlUWt5hWxkGz0LIbWfY2xOVJAV8lR0i0IkAAAAAAChrneFMiOAeJUSIJ9PyjTJUMafKl/nde3t/ppuB7QwAAAAAAJSxrnAmAPC4Rn4EjqfsiE6EwYLZzoOOPkIEiRABAAAAAFDmOrNdBPvqRPDvpxMhlA0R8p0Ivsr+GF3Z3z0AAAAAoOzltjOs39Wj7R3hIfcyMxFGhgs5XrdLXrdRZ7abIeChEwEAAAAAgLKV284gSRdc+9iQe2PNRJAyWxg6sp0IlT5YkdMZAAAAAABlLdeJICkfBqTTVsZI8VFOZxgu6HOrvS9zxCMzEQAAAAAAKGOdgzoRJCmaSOnQL9+tH/99kxKpsTsRQj6PeqJJSYQIhAgAAAAAgLLWHRnoRPB7XOqPZQKBax/cpJ5ocsxgYPD9ACECAAAAAADlqzMc19uOna2PnrZQsWQ6v70hlkxr055eHTajer/PDw2ag0AnAgAAAAAAZSKZSuumx7Yomkjlr3X1J9RY5dPhM2skSVvb+vP3+uMpLW2u3e9rBgeFCAGOeAQAAAAAoDz89YVd+vqd6/WjBzZKyhzh2BtLqiHkU13QK0na3RMd8pyxQoRcJ4LLSL4xhjCWu8r+7gEAAAAAZaW1N3OKwsu7eyVJXdmtCw1VXoV8mQMK2/sGBi3OrPXrqDl1+33N3PMCXreMMQWvuZQQIgAAAAAAysbm1sxWhU2tfZKkruzJDPUhX35bQnt/LL/+/a9fILdr/8FA7nmVPg9BkjxOFwAAAAAAQKFszoYHr7WHtbs7mh+i2BDy5rcl5DoRfviuZbpg2ZwxX7Mq+7xKP5lBohMBAAAAAFBGeiIJza4LSJKe2tqR70RoCPnynQStfZlOhBMWTBvXa9YEMrMUvO7K3sogESIAAAAAAMpIJJHSkdkZBy1dkfxMhPohnQiZEGHw0Y37U+3PNPEn07bQ5ZYctjMAAAAAAMpGJJ7StJBPxkj9saRyvQP1IZ+szYQA7f2Z7oTgeEOEQDZESBEiECIAAAAAAMpGNJFS0OdWtc+jvlhSiZSV121U5XMr10jQFU7I7TLjPq6xNkAnQg4hAgAAAACgbEQTaQV9blX5PeqPJRWJp1Qf8skYI7eRfB6X4sm0QhM4rrHan5mJkEqni1l6SSBEAAAAAACUhWQqrXgqraDXrSq/W32xpFJpq4aQN78m5HNnQgT/+E9aYDvDAAYrAgAAAADKQjSZ6RQIeF2q9nvUF0upM5xQfciXXxPKntCwoLFq3K+bG6yYoBOBEAEAAAAAUB4i8ZQkKeh1qzqQ2c6wpa1f86eF8msC2RBhaXPtuF83NxMhxUwEQgQAAAAAQHmIJjIhQsDrVpXPo9faw2rtjQ0JDHZ0RSRJS2bVjPt1c9sZEmxnIEQAAAAAAJSHXIgQ9LlV7feorS8mSVo6KDB494nzdfScOp17VPO4XzfodcsY6atvXVrYgksQgxUBAAAAAGUhkutE8GROZ8iZN2g7w9fPP3LCr2uM0ZbvvPXgCywDdCIAAAAAAMpCfiaCz53fgiBJtQHvvp6CCSJEAAAAAACUhcigmQg1g0KEwYECDg4hAgAAAACgLEQTmSMYg163GgYd6+h2GadKKjuECAAAAACAsjBwOoNLDSG2MBQDIQIAAAAAoCzEk5lOBL/Xrbqgb4zVOBCECAAAAACAshBPZUIEr8uooYpOhGIgRAAAAAAAlIVELkRwu1RPJ0JRMKISAAAAAFAW8iGCx6Wgz+1wNeWJEAEAAAAAUBYSKStJ8rqN/B5ChGIYM0QwxsyT9BtJMyVZSddZa384bM3pkv4saUv20h3W2qsLWyoAAAAAAPuWG6zodWV27n/zgiN19Nx6J0sqO+PpREhK+ry1drUxpkbSs8aY+6y164ete8Rae17hSwQAAAAAYGzJdFoel5HLZSRJ7z1lgbMFlaExBytaa3dZa1dnv+6V9JKkOcUuDAAAAACAiUikrLxuzg8opgn9dI0xCyQdJ2nVKLdPMcY8b4y5xxhzZAFqAwAAAABg3OLJtLxu43QZZW3cgxWNMdWS/iDpX621PcNur5Z0iLW2zxjzFkl/knTYKK9xmaTLJGn+/PkHXDQAAAAAAMMlUmn5PHQiFNO4frrGGK8yAcJvrbV3DL9vre2x1vZlv75bktcYM32UdddZa1dYa1c0NTUdZOkAAAAAAAxIpNJsZyiyMX+6xhgj6QZJL1lrr9nHmlnZdTLGnJh93fZCFgoAAAAAwP4kUlYetjMU1Xi2M5wq6b2SXjDGrMle+7Kk+ZJkrf25pIskfcIYk5QUkfQua60tQr0AAAAAAIwqTidC0Y0ZIlhrH5W03yjHWvsTST8pVFEAAAAAAExUIpmWjxChqPjpAgAAAADKAjMRio+fLgAAAACgLCRSliMei4wQAQAAAAAga61+8dBmtfbGnC7lgDETofj46QIAAABABQvHk3pic7u2tPXrO/ds0KXXr3K6pAOWTKXl8/Axt5j46QIAAABABfvmXS/pkl8+qee2dUmSXt7T63BFBy6znYGPucXETxcAAAAAKtiu7ogkafW2zvy1aCLlVDkHJTNYkZkIxUSIAAAAAAAVbFZtQJL021Xb8tfa++NOlXNQmIlQfPx0AQAAAKCC1QQ8I66V6nBFjngsPn66AAAAAFDBYsn0iGttpRoiJDnisdgIEQAAAACggkXiqfyWhpy2vhINEehEKDp+ugAAAABQwSKJlEI+95BrpRoixJKECMXGTxcAAAAAKlg0kVLA61ZTjV+SVOP3lORgxWgipb5YUtOrfU6XUtZGTtAAAAAAAFSMSCKloM+thy4/Xam01Vt+9Ii6wgmny5qwPT1RSdLMYVszUFiECAAAAABQwSLxlEI+j0K+zMfD+qBPXeHS60TY05PZgkGIUFxsZwAAAACAChZJpBXwDsxEqA951VmCnQi7s50Is+oIEYqJTgQAAAAAqGDR7HaGnPqQTzs6Iw5WNHE/fmCjfnDfK5LoRCg2OhEAAAAAoIJF4ikFvQMfDRtCXnWW2HaGXIDg87hUG+B35cVEiAAAAAAAFSySSCk4eDtD0KvuSEKptHWwqgNT4/fIGON0GWWNEAEAAAAAKlgkkVJg2HYGa6XuSGnMRbB2IOz48buPc7CSykCIAAAAAAAVKpZMKZ5Mq9o3sAVgaXOtJOmRja1OlTUhuSGQV513hF7/uukOV1P+CBEAAAAAoELlug3qQt78tZMWTtOs2oBWrt/jVFl5X/7jC3p0Y9t+17R0ZYZAzq5noOJkIEQAAAAAgArVE0lKkuqCAyGCy2W0eFaNtrWHnSpLkpRMpXXLqm269IZV+123vSNT59yG0GSUVfEIEQAAAACgQuU6EWoHhQiSNKchqJ1dzh7zGE6kxrVuS3u/JGnB9KpiloMsQgQAAAAAqFA9ue0Mw0OE+qA6+uP67arXnChLkhSODYQIg4cnDre1rV9NNX5V+znacTIQIgAAAABAhereR4gwvdonSfrKH9dNek05/fFk/uv2/vg+121tC2thI10Ik4UQAQAAAAAq1L5ChBMWTMt/nUylJ7WmnMGdCF3hfYcIbX0xzaj1T0ZJECECAAAAAFSsfYUIhzZV6zsXHi1J2tUd3ed2gj+v2anW3lhRahvcidCVPcZxND3RxIiZDigeQgQAAAAAqFDrW3pU4/fI6x750XBOfVCSdNr3H9RX/zRyW0N7X0yf+981OuHb9+93ZsGBCo8jRLDWqieSVG2AEGGyECIAAAAAQAXa2RXRvS/u1rtPnj/q/TkNwfzXv121bcT9zkFbDB54aW/B6+sftJ0h1zGR84uHNutz//ucYsm04qn0iE4KFA8hAgAAAABUkI17enXVn9epJXuE40kLp426LteJsC/dkYFOgQc27ClcgVlDOhGGhQjfuWeD/rymRY9vbpMk1QY5mWGy8JMGAAAAgAryq8e36pZV27S1PSxJqgv6Rl0X8LqHPO7sj6uhamBtz6AP9nt7Cj8XYUgnwj4GK37opmckie0Mk4hOBAAAAACoIE3VmZMMHn6lVZLUEBrfB/BtHeEhj3NbDA5pDGlvEYYr5joRfG6X7n9p75C5C37P0I+yDFacPIQIAAAAAFBBIonUkMf1odE7EYbbmd3+kJMLEQ6bUa29vdGC1La7O6obH92i//jbBv3nylfkc7sUT6W1flePFn7pbt35fIskqSHkU3BQpwQzESYPIQIAAAAAVJD+2MCsAWP2/wH8+EMa8l9/8rer1d430HGQCxFeN6NabX1xpdMHd0LDQ6+06uTvPKCr71qvax/cLEmqD3n13xcvy6/5zK3PKZ5Mqzea0LtPGhgIWRtgp/5kIUQAAAAAgAoSjg90ItQGvHK7zD7X3vTBE3Tfv/1T/vHgUxi6IwmFfG7Nrgsqlbb6v7c9P673v+2Z7Xp+e9eI6++/8akR1/7nwyfpgmWzh1w7/Kv3qD+eUk3Ao7s/e5redcI8zZsWGtd74+ARIgAAAABAmdrRGdanb1mtZ1/rzF8b3IlQP8Y8hJqAV4fNrMk/Tg2aS9AdSagu6NXJhzZKkv6c3WqwP49ubNPlt6/VV/+0bsy1nzvzMC2eVSNjRg85agJeHTG7Vt99+zHyuvloO1n4SQMAAABAmfrh/Rt119pd+VkC0tBOhGlV45uH8NDlp0tSfjvD/ev36M9rdqqpxq/Fs2p05XlHKJW22tuz/9kIq7a0S5KmV4/9vo2D1vzivcfruxcerTs//Yb8tRo/WxicwE8dAAAAAMrUupYeSVLroNMT+uMDnQgzavzjep1DGqtUE/CorS9z1OJHfpM5WnFOfVCSdMzcOknSiy09mlEb2Ofr5I6CTA6bn5BIpUesHbzN4uwjZ+W/bqzyqb0/rmrmIDiCTgQAAAAAKEOJVFqb9vZKknZ1D5ysEI4NdCI0jPNkBkmaXu1Xe398yLXZ2RBhXkNmJsGOYSc4DJc7xWHwlgpJerW1P//1vGlBfejUhbrwuLmjvsY7T5gnSfud5YDiIboBAAAAgDK0vSOsRMrKZaRd3QPbDAZ3Ioz3eEcp0wFw5/MtiicHQojcLIKmGr/cLqPd3WOFCJlOhHA8pb+u3aVHN7XJZaS/vbhbPo9L3/7no3T64hlq2k+HxOfPOlyLZ9boTUtnjrt2FA4hAgAAAACUodzsg8Nn1uiVPb1KptLyuF1DZiIsmlE97tfLzSj424t78tdm1mY+7LtdRjNr/NrVtf+ZCLkQoT+e1KduWZ2/vrS5Vl84Z4HesWLemHV43C7983Fzxl03CosQAQAAAADKUCzbMTC3IaQNu3vVGU6oqcav/lhSHz1toZbPb9A5R80a41UG1AeHdi0snF6l9558SP5xc31wSMfDcMlUOj+YcfCWCkn63JmLdM5RzeOuBc5hJgIAAAAAlKFoIjOsMNct0B1J6LX2fsWSac2qC+rco5v3eXziaGqDQ38HfeFxc+QZdLRic11ALfvZzrCptU9pmxnm2B9P5uuSpGPn1Y+7DjiLEAEAAAAAylCuE2FGTea0hO5IQnc+3yJjpHMn0IGQUxvwDnkc9LmHPF44vUrbO8L59x1u7fZuSdIpr2tUNJFWNJHWnPqgrnvv8WquC064HjiDEAEAAAAAylAs24kwI/sb/55IQi/v6dO8hlD+VIWJqA3uP0RYNKNaaf79eoYAACAASURBVCttaevXaF5s6VaVz60jZ9dKyoQaFx0/V28+cuKBBpxDiAAAAAAAZSiWzIYINQPbGXZ1RdRcFzig1xu+nSE0SoggSZv29o36/N5oUg1VPlX7B8KI/Z3CgKmJEAEAAAAAylA0kdlWMLM2Exo8+PJe7eqOHlAXgjTKdgbv0BDhdU3VMmbfIUIsmZbf41KVf+B5hzSGDqgWOIcQAQAAAABKzIdvelon/b/71ZY97WA0wzsR/rymRTsPqhNh+HaGoZ0JAa9b8xpC2rjPECElv8etuQ0DIcYphzYeUC1wDkc8AgAAAECJeWDDXknS01s6dO7Rox+NmBtwWOUf+rGv+QA7EYZ3HgzfziBltjS8tKtHj29q0+sXTR9WT1p+r0vHHzJNP7/0eFX7PUNOd0Bp4L8YAAAAAJQYtytzNOPand37XJM74tHvGfqx7/j5DQf0nsNDg+GhgiQdNqNar7b2693Xr9KG3T1D7sUS6Xwt5xw1S284bPqI52PqI0QAAAAAgBL1YkvPPu/Fkim5XUYet0s3ffAEnXXETF1y4jwdkT0dYaIObarWD95xbP7x8NMZJOnSkw9RTbbz4eXdvSPq8XtGPgelhe0MAAAAAFBCUmmrVNpKklp79zMTYdBv/k9fPEOnL55x0O/99uPnqrkuoPtf2qtDpo0cijhvWkjPXPkmHXHV37Rxz9DZCLnBiihthAgAAAAAUELi2YGJktTRv//BioFRthwcrNcvmj5i3sFgfo9bh0wLjTilITMTgU6EUkcMBAAAAAAlJBci+NwudfYnZK0ddV00kXLsN/9zGoLa3RMdci2WSClAJ0LJ478gAAAAAJSQeCoTIsyqCyieSqsvlhx1nZPbB+pDPnWF43pqS4c+9dvVSqVt/nQGlDb+CwIAAABACcmHCLUBSVJHf3zUdU4OMmwIedUZTuiLf1irv76wSxv39mY7I9jOUOrGDBGMMfOMMQ8aY9YbY140xnxulDXGGPMjY8wmY8xaY8zy4pQLAAAAAJUtt51hVt1YIUJaAYd+818f8qknmlBzfabGF3Z0M1ixTIxnsGJS0uettauNMTWSnjXG3GetXT9ozbmSDsv+OUnSz7J/AwAAAAAKaHiI0N43eogQjqccG2TYEPLKWsnrzoQGa3d0K5m2dCKUgTFjIGvtLmvt6uzXvZJekjRn2LILJP3GZjwpqd4Y01zwagEAAACgwiWy2xkWNFZJknZ2RUZd1xNJqDbgnbS6BmsI+SRJOzozte3qzvzNTITSN6H/gsaYBZKOk7Rq2K05krYPerxDI4MGAAAAAMBBimU7EZrrAwp63drWER51XW80qbqgMyFCfSjzvrna2rLdEmxnKH3j/i9ojKmW9AdJ/2qt7TmQNzPGXGaMecYY80xra+uBvAQAAAAAVLTcdga/x6V504Lavo8QoSeSUG1wPDvYCy/XiZCrtb0/JklsZygD4woRjDFeZQKE31pr7xhlyU5J8wY9npu9NoS19jpr7Qpr7YqmpqYDqRcAAAAAKlrudAa/x6X500KjdiKk0la9saTj2xlycnMbnBr0iMIZz+kMRtINkl6y1l6zj2V/kfS+7CkNJ0vqttbuKmCdAAAAAABJiexv971ul5pqAmof5XSGvmhSklTr1HaGqqHvG46nJNGJUA7G09tyqqT3SnrBGLMme+3LkuZLkrX255LulvQWSZskhSV9sPClAgAAAABynQg+j0tVPrfCseSINT3RhCSpNuDMdoYav0cel1EybYdcP3pOnSP1oHDG/BdlrX1UkhljjZX0qUIVBQAAAAAYXW7OgM/tUsjvUTiRUjpt5XINfGzrjmRDBIc6EYwxCvrc6o0OBBzL5tVrfmPIkXpQOGxIAQAAAIASkg8Rsp0I1krRZGrImra+zCBDp05nkJQPEJbMqpEkLZpR7VgtKBxCBAAAAAAoIbHU0E4ESeqPDYQI1lr958qX5XYZzW0IOlLjYHPqMzXMqg04XAkKwZkNMgAAAACAA5IY1okgSeF4UpJfD73SqrqgV+t29ujLb1miuQ3Obx+YkQ0PZtc7H2jg4BEiAAAAAEAJGTxYMeQb6ER4akuH3n/jU5Ikt8vonSvmOVajJL3t2Nm68/kWff7Nh8vnNrpw+RxH60FhECIAAAAAQAkZPFixyj/QidAfHxhieNScOtWHfI7Ul/Ojdy3TDy9eJpfL6BsXHOVoLSgcQgQAAAAAKCGRREpet5HHPagTIZ5SLJHOrzlxQYNT5eUZY2T2e84fShGDFQEAAACghETiKQW9mQ6EXCfCB371lLoj8fyaNx85y5HaUP4IEQAAAACghITjSQWzAxWrsp0I1kotXVFJkstIKw5xvhMB5YkQAQAAAABKSCSRzm9jCGXDBEna1R2RMdLGb79Fhn0EKBJCBAAAAAAoIZF4Mr+doTbozV/f1R1Vtd8jt4sAAcVDiAAAAAAAJSQcT+W3M3jdLl3/vhWSMiFCbcC7v6cCB40QAQAAAABKSCSRGrKNocqf2dqwuzs6pDMBKAZCBAAAAAAoIZF4SgHv4BAh83VfLKnp1T6nykKFIEQAAAAAgBISjo/eiSBxtCOKjxABAAAAAErIiO0MvoEQ4fTDm5woCRWEEAEAAAAASsjw7Qwh/8DXzXUBJ0pCBSFEAAAAAIASYa3dbyeCx81HPBQX/8IAAAAAoETEU2ml0lahQcGB22UcrAiVhhABAAAAAEpEOJaSJAUHbWcAJpNn7CUAAAAAgKmgMxyXJDVUeYdc/58Pn6i5DSEnSkKFIUQAAAAAgBLRFUlIkuqDviHXTzuMUxkwOdjOAAAAAAAloivbiVAf8o6xEigOQgQAAAAAKBFd4UwnQkPIN8ZKoDgIEQAAAACgRHRmQwQ6EeAUQgQAAAAAKBHd4bhcRqoNECLAGYQIAAAAAFAiOsMJ1QW9crmM06WgQhEiAAAAAECJaO+PqaGKeQhwDiECAAAAAJSIXd1RNdcFnC4DFYwQAQAAAABKxK6uqJrrgk6XgQpGiAAAAAAAJSCZSmtvL50IcBYhAgAAAACUgL29MaWt6ESAowgRAAAAAKAE7O6JSpJm1fkdrgSVjBABAAAAAEpAe19ckjS9mhABziFEAAAAAIAS0N4XkyQ1EiLAQYQIAAAAAFAC2vsznQiNVT6HK0ElI0QAAAAAgBLQ1hdTtd+jgNftdCmoYIQIAAAAAFACOvrjaqymCwHOIkQAAAAAgBLQ3hdnKwMcR4gAAAAAACWgKxJXXdDrdBmocIQIAAAAADBFbdrbK2utJCkcT6nK73G4IlQ6QgQAAAAAmIJ+9MBGvemah/XE5nZJUjiWUsjHUEU4ixABAAAAAKagXzy0WZK0oysiSeqPJxXy0YkAZxEiAAAAAMAUlMpuY2jvi8taq0icTgQ4jxABAAAAAKaYeDKtaCItSWrtjSmeSiuZtsxEgOMIEQAAAABgimnriw35OhxLSRKdCHAcIQIAAAAATDGtvcNChAQhAqYGQgQAAAAAmGL2ZkOE5rqAHt/crr+t2y1JDFaE4wgRAAAAAGCKac9uZ/jSW5ZKkh7Z2CqJTgQ4jxABAAAAAKaYrkhCkvSmpTM0vdqvV9v6JdGJAOcRIgAAAADAJEinrR5+pVU2e3Tj/nRHEvK5XQp63ZpV59dr7WFJdCLAeYQIAAAAADAJfvz3TXrfjU/pkY1tY67tCidUG/TKGKOZNYH89So/IQKcRYgAAAAAAJPgt6tekyT1xZJjru2OxFUf8kqSZtZlQoTp1T4d0lhVvAKBcSBEAAAAAIBJkJtz8MnfrtY9L+wacb+zP54PGLojCdUHMyHC0uZaSdI7VsyT181HODiLf4EAAAAAMAkGzzP47r0bhtzr7I/ruG/ep8/e+pykzHaGumyI8N6TD9FzV56lL5y9ePKKBfaBEAEAAAAAJkE6PTBQ8bX2sF7a1ZN/fPuzOyRJT2/tUCSe0ostParLbmeQpIYqn4wxk1cssA+ECAAAAAAwCWLJ9JDH1z+yJf/1qi0dkqTeaFInfvt+SVJzXUDAVDNmiGCMudEYs9cYs24f9083xnQbY9Zk/1xV+DIBAAAAoHRZa4eECPOmBbWtoz//+NnXOvJf98aSuvbdy/XpNx42qTUC4zGeToSbJJ0zxppHrLXLsn+uPviyAAAAAKB8DO9CeMOiJm3c2ydrrcLxpDrDify90w6brrce06ygj+McMfV4xlpgrX3YGLOg+KUAAAAAQHmKJlKSpDcfMVNvP36utneE1RVOqDOcUE/21IbGKp/a++P5gYrAVFSomQinGGOeN8bcY4w5cl+LjDGXGWOeMcY809raWqC3BgAAAICpLZrIdCKcvniGzj5ylmbUZuYdtPfFtLc3JklaOL1KklTtH/N3vYBjChEirJZ0iLX2WEk/lvSnfS201l5nrV1hrV3R1NRUgLcGAAAAgKkvlsx0IgS8mY9gDdmTF1r7Yvr4zc9KkhZkQwSPm1MYMHUddIhgre2x1vZlv75bktcYM/2gKwMAAACAMpHrRPB7MnMOGkI+SdLTWzrV0R+XJM2s9UuSPC4O0cPUddD/Oo0xs0z2wFJjzInZ12w/2NcFAAAAgHKRm4mQ60TIzT34r/tfya+pDWSuuQydCJi6xtxsY4y5VdLpkqYbY3ZI+pokryRZa38u6SJJnzDGJCVFJL3LWmuLVjEAAAAAlJiBECHbiVDlG3L/fz58ol7Y2S2J7QyY2sZzOsMlY9z/iaSfFKwiAAAAACgz0ewRj7lOhKphxze+YdF0HTKtSj+8f6PeuWLupNcHjBdjPwEAAACgyHKdCLmZCGbQloXp1T4ZYzS/MaSXv3WuI/UB48XEDgAAAAAosli+E8E94t4TXzpzsssBDhidCAAAAABQZMMHK0rS4188Q36PS143v9tF6SBEAAAAAIAiGz5YUZJm1wedKgc4YEReAAAAAFBkXeGEpIGjHYFSRYgAAAAAAEXW0R9XTcDD1gWUPP4FAwAAAECRdYXjagj5nC4DOGiECAAAAABQZB3hhBqqCBFQ+ggRAAAAAKDIMp0IzENA6SNEAAAAAIAi6+iPaxrbGVAGCBEAAAAAoMg6++OqJ0RAGSBEAAAAAIAi6o8l1R9PqanG73QpwEEjRAAAAACAItrZFZEkzWkIOlwJcPAIEQAAAACgiHZ2ZkOEekIElD5CBAAAAAAooh3ZToS5dCKgDBAiAAAAAEARtXRF5HUbNVUzEwGljxABAAAAAIqosz+uaVU+uVzG6VKAg0aIAAAAAABF1B1JqDbgdboMoCAIEQAAAACgiHqiCdUGCRFQHggRAAAAAKCIeiJJ1QY8TpcBFAT/kgEAAACgCP7jbxu0oLFKPdGEDm2qcrocoCAIEQAAAACgCK59cLMkqT7kZSYCygbbGQAAAACgwNJpm/+6K5xQHTMRUCYIEQAAAACgwLoiiSGPa4M0gaM8ECIAAAAAQIG198WGPPa4+OiF8kAcBgAAAAAF1tYXlyTd+IEVWrO9W+cd0+xwRUBhECIAAAAAQIF19GdChDn1IZ2xZKbD1QCFQ08NAAAAABTYjs6wJGl6tc/hSoDCIkQAAAAAgAL76wu7dERzrRqr/U6XAhQUIQIAAAAAFFAkntLaHd06+8hZTpcCFBwhAgAAAAAU0J6eqCRpbkPQ4UqAwiNEAAAAAIACyoUIM2sDDlcCFB4hAgAAAAAU0O5siDCrjnkIKD+ECAAAAABQQHt7YpKkGXQioAwRIgAAAABAAW1p71fI51aN3+N0KUDBESIAAAAAQIFc/8irumXVNp11xEwZY5wuByg4QgQAAAAAKJA7n2+RJH3+rMUOVwIUByECAAAAABRIS3dU7zphnuY3hpwuBSgKQgQAAAAAKIB4Mq22vphm1TFQEeWLEAEAAAAACmBPT1TWSrPrgk6XAhQNIQIAAAAAFMCu7qgk0YmAskaIAAAAAAAF0N4XkyRNr/Y7XAlQPIQIAAAAAFAAvbGkJKkm4HG4EqB4CBEAAAAAoAD6ooQIKH+ECAAAAABQAL3ZEKHaT4iA8kWIAAAAAAAF0BdLKOh1y+PmYxbKF/+6AQAAAKAA+mJJVee2MvS0SE/+TGrb5GxRQIERIgAAAAAoO9FEStc/8qpe3t07ae/ZE01m5iHsfUm68Wzp3i9KvzxDat88aTUAxUaIAAAAAKDsXP/Iq/rWX1/S+298SrFkalLesy+aVJ3PSH/4iBQPS2+/QbIp6Z4rJGsnpQag2AgRAAAAAJSdza39kqTdPVFtbQtPynv2xZI6xvWqtGed9OZvSkdfJJ1xpbTpPulvX5mUGoBiI0QAAAAAUHba+mL5r3d2TVKIEE3qyPQrmQeHvjHz90kfk5a/T3ryWmn3C5NSB1BMhAgAAAAAyk5rb0zHzK2TJP3b755XTzRRlPf5x8t7dd/6PdrdHdXOrogWp16WaudKtc2ZBcZIZ10tuf3S8/9blBqAycQBpgAAAADKTltfTGcumam1O7rVHUnompWv6OvnH1nw9/nAr54e8vjQ9Dap+Zihi4IN0uxl0o5nCv7+wGSjEwEAAABAWUmlrTr645obSujbnhv0TveDenhja9Hf16Okqvu2Sk2LR96cs0LatUZKFacjApgshAgAAAAAysre3qjSVjp972/0Hs8D+r73l/J0vipbxBMSbv/4KXr53w6XSSekpiUjF8w8UkpGpe7tRasBmAxjhgjGmBuNMXuNMev2cd8YY35kjNlkjFlrjFle+DIBAAAAYGzWWl374Ca5ldIRu/4oNSxUynh1u/sr6ty6tqDvFU1kjo785bLNWnHP2+T+2cmZG83HjlxcNyfzd09LQWsAJtt4OhFuknTOfu6fK+mw7J/LJP3s4MsCAAAAgIm77uFXdfOT2/S5oxNyx7qlN35FT557j3xKKPn0jfrGnS/qTdc8pO0dB39iQ0d/XIvNNp214UopEZGOuki64FppxtKRi2uzIUL3zoN+X8BJYw5WtNY+bIxZsJ8lF0j6jc30Bj1pjKk3xjRba3cVqEYAAAAAGJebV72mUxc16jOHvSBtlDTvBE2LTtOj6aP0+q336Vcdb5YkPb65TRdPm39Q79XeF9dy18bMg/fcJjW+bt+La2dn/u4hREBpK8RMhDmSBm/s2ZG9BgAAAACTxlqrPd0xLZ/pkXn8R1LjIqn+EM1pCOqJ9BEKhXeqUd2SrF5u6Tzo99vVHdHR5lUlfXXStEP3v9hXJQXq2c6AkjepRzwaYy5TZsuD5s8/uNQPAAAAAAbrDCcUT6V17p7rpO4d0gfvlYxRbcCr17yZD/lHuF7TB933auELvdJbn5Q8vgN6r/5YUrf9fZX+y/OkzMIzJWPGflL1TKlvzwG9HzBVFKITYaekeYMez81eG8Fae521doW1dkVTU1MB3hoAAAAAMvb0RBVSVIfvulM69hJp/kn5e+1Vh0mSLvf8Tme412hhcrP04h0H/F6/emyLTtpzq0ImIffZ3xrfk3xVUuLgZzEATipEiPAXSe/LntJwsqRu5iEAAAAAmGy7e6J6g+sFeVLhTIgwyOb+gJ5NH6ZjXFvU72lQzHr11OMPHvB7Pb6pTRd5H5dr6XnStIXje5KvSor3H/B7AlPBeI54vFXSE5IWG2N2GGM+bIz5uDHm49kld0t6VdImSb+U9MmiVQsAAACg4sSTad30jxfVs2vTftft7IzoWNdmWZdHmnvCkHvTq/36SPzzip74GT12xJV6xc5RtOVFtfXFJlxPMpXWnu2vqN52Swv/afxPJERAGRjP6QyXjHHfSvpUwSoCAAAAgEF+88RWLX7gMtX+Y530/rukhaeNum7l+j36rG+LNPNIyRsYcu/GD5yg53d0KbDsEoWf26mNz92hC92Pau3zf9f0U8+dUD17emNamtoouSXNOX78T/SG2M6AkleI7QwAAAAAUDQvPvuwTnOvkyTZm98u9Y4cTvj45jb1bXpMx6fXySx604j7C6ZX6YJlmUPkplf7tTK1QpI046nvTrielq6IlrpeU9p4pBlHjP+JdCKgDBAiAAAAAJiy+nq79d6On6jbhnRh7OsyqZj09PWStfk11lr94K7V+qn/Wtm6udKp/7rf15xW5dO96RP1/cTFmtW9ZsLHLrZ0RbTQ7Faybv7ETnfwVUlxOhFQ2ggRAAAAAExJ1lr9z4++ouWujdp0wtVabQ/XM74TpYe/L91zRX7dP15u1Wmtt2qWbZXrwl9Kgdr9vu7s+sxWh+fsosyF1pcnVFdLV1SHml1yTT98Yt+QNyTF+4YEIECpIUQAAAAAMCWt3dau8+N360X/Mi17y0d0xpIZurjnM/qL60zpqV9Im+6XJN322Dp92HOv0kveJh1yypivWx/yadO3z1XjvCWZCx2vTqiuXZ19WujaLc+Mwyb2DfmqJJuSUvGJPQ+YQggRAAAAAEw51lrd/6dfa45p14K3/rvcLqO3HduslNz6TvifFfHWy95ysa7+8c/1pq0/UI3Ccv2fL4z79T1ul9x1cxSTb8IhQrp1o/xKSE1LJ/ZN+aoyfzMXASWMEAEAgEq09jbptcedrgIA9mlPT0zzWh9S1FOnqqPOkyT9y3Fz9cq3ztUuNerk3u8r7G3QVe1X6EL3o3pt3gVS8zETeo/GmqC22RlS++bxPynSqdmdT2W+nrN8Qu8nbyjzNyECShghAgAAFSYZ7pLu+Ij0q4kdaTZCPCz95p+lNbcWpjAAGGTjnh6d4lqv/uaTJJc7f93ncenC5XPUrWrd3H9i/vr091w/4fdoqvFrfXq+0rvXjr24d7fsC7cr8dPT9MnIL5Q0XmmiMxFynQgc84gSRohQTiJdUstzUjrtdCUAgMmQjEmrrpNifRN62s9+8ZOBBwfz27BN90mvPij96eOZWgBAGjo0MJWQ9m6Y8P9/aq3VQ/f8TvNcrfIuefOI+z94x7H65gVH6hfJt2l1epG2H/NZVQUmcEpCVnNdQC+kF8rVs1Pqb9vnutue2qKWH71Z5g8flrd3uyTpiUX/PiTcGJf8doaJ/e82MJUQIhyIdEpKRJ2uYqjbPih97xDputOl9X90uhoAQBH95O8b9Ycrz5O+NUO653Jp3R/2/4T2zfn/u9XaG9MRHfcP3Gt57oDrWH3vbwYedL52wK8DoIw89kPpG/XSfyzKzBm44SzppydJ158pPXD1uP+3Yu2Obi1ru0t7bL1qTnrfiPvGGJ18aKM6VKsL41fL/6avHFC5/3R4kzZoQebB7hf2ue6JB+/6/+ydd3gUZdeH79mWspuebHqHNAghoYUeeleaIGBDRV+7iF2/V33tYseGBWxUASmCFAER6b13SEhPSK/bZr4/JiQgARIghODc1+W1OzNPObOYKec553fws6SwypbAFOtQIiu/p6DlPfWfsNqJoEQiKDRdFCdCfZEkmHsXTA6HU+sb2xowlWLJS4YDC2r2HV7aaOYoKCgoKDQ8X649xgj1OfegS9Q3T01NgSkJ8JtcM33boeN0Ve1liS1RblDPsmbVWCqJKPqbw2KgvF1w6srGUVBQuGmQClMx//k+Vu84KM/HMm0wZOyiIqg7UsYuWP8BzL2zTmMl55URK5zE4tsOQWNXa5tmRgMjEgJ4ZUgMRmf7K7LZXa/D2TtE3ijNqbVNTnElbUrXUilpedzyKB9YR2FCR6dwj/pPqFXSGRSaPooToZ7kH9kAh3+TQ5C2fdO4xqRug3eC0E6JA2CrGMkR9x5wYq1Se1ZBQUHhJsaoLq7+XirZX1JVfPrUyfKXPbOgKA33Te+gE2x8bR2MRe0AZ45ekQ0p+9djECr5zlalq1BPZXMFBYWbiMLTMOM2xM86UGm20P/0ONIDB6MtTWe1LZ7oow/SWZrGIsNopKx9dYrozcnOIliVg3dU4kXbCILAB6PiGN859Ors13vJn2W5Fx7L2ofps06MU68mM/gWhnWIIMxLT/8WPngaanduXBLdWWFFJZ1BoemiOBHqydKlCwE46tJZflm3WRrFDiljN3w/SK4zC5RLdowy/5elpZFQkQ9FqY1il4KCgoJCwxOoygfgPvMkdovhF3+Bz9rHJPXcmu2PWpBYsJhj9i05rArjjH3wFUcizFu1AYBtYiQmtR4Kkq9oHAUFhZuAlS/D8dXsdEjkNvMrHJcCGHesG3vEMAo7vwxAhsmOFfneCJIIpy9TGWbfPHrsnQSAtnmPhrYeraMLZjTVTgST1UbhoT9hzZtUTu1DoFmu3BA6+FneGhbLmklJfHVnmyubTElnULgJUJwI9UAUJYxFe0gRjXyW1wZMxZfMnWooFuxMY+aXr4PNxCL38bJtCIDAX6V+cqOM3dfdLgUFBQWF64OfqgCALMmDNHWAHE1Qi2iZZdETlOJAx8opbBdasFsM537zJLZ0+wFvZwdSNGGQufuKBHmdKtIQEbDo/SlWu180DFhBQeHmRto3Hw4uYpnbWG7LvY++PXpyT6cQkiVfbjW/wa19evL+bXFMu6ctR6UAudNPw2r0WIrSoDC1emFu375dSAsm4Fl+irn6seB/hS/r9cDZQUc+LtXCivf/sJ2SWffDX+9hL1XUNPSKvPrJlHQGhZsAxYlQD9ILymktHCXdKZYt1qpyLqc3Xz8DSnNh/gT2HTpMd9Vultna81pGBwD+FOWUhkNiEDaNI+z6WUlpUFBQULhJ8ZbkB90MyZ1dliDZqb3mdfjz3eoH8dKMw2gzd/CdVa6nPrLiJcbxFoEdRzCyXSjBHo5sFSOgoqDeKQ0Wm4i7NZsynRduLgYKBOfaw4AVFBRubkpzkBY9wjYxgicy+tAuxI3HezVneII/AI46NRq1ipFtAujW3IsTkh/TrP3lvr8/B0dXwset4OOW8GUnyg6u5I/ZUxBFib4Vb5LT5qnrchrODhrOiM5IVdexwxmFuAklAPQxvcc48wssb/stCMLVT6akMyjcBChOhHpw4vghvIVCXCI6k407Jfa+kLa17gOkboOi9CubolH1awAAIABJREFU3FwOs8fCvrl0LZhPgHCGw2IQ+TgzxPQGWT0+ZNaEREzo2NHsUTi2AubcAZaKy4+toKCgoNCkCLMcI09yQmPwZJ9YlQv894fw51twYg2lJivbfpmMRVIT2/9+on2dCfZwZOMLvXhlSAvstWpCPPSsLAmT+55YXa/5c0pMBAo5VOgD8DLYcUZ0hvK8a3yWCgoKNzoF235BZa3gFdv9/PJId2ZNSESrVtEqwJWv7kjgh3vbV7fVqFVIqPif9S4+0j4AqVtg5m0Uq13Jjn0QLJXYL7ibQerNHJMCEJx9GJ4QcF3Ow8VByxnJGbEqoiqILAxCJc9YHuCYFMAGMRZCul6byTT2IKiUdAaFJo3iRKgHp/f9DUBEQk/8XR04oW4GmXvr1Pen6Z/Bd71hzjgoz6//5HvnVDss2uXL1RfuG9QFgH1SGAMSwkkMc8fNUcuo3XEcCRotC0Ae+b3+cykoKCgo3LAUlJpoLxygwJjIy4NjOCoFsJE4Zll7IKp0cHQFX/91khb5f7BSbMOQrm35/YmurHumBy4O2upxQj317K/0xOoTDzt/qlf0WlZRJWFCJlbXMIxO9mTanJRIBAWFfyGZm2ZxRAxgSJ/etA50RaOuebXo39KXdiHutfb7pKQ7D5gnMt3aj76lr9JhW3fe8/sQwWYmQpWOT1QiW17sjZ+rw3U5D2d7LVmSGxSmUFZpwalCXvQ7KfoyJE5OFXay11ybyQRBTmkwl12b8RQUGgHFiVBHrDaRsvQDiAhofaJoHeTKVlMg5J+AyuJL9i2qsGA6ITsgyNgF39RfIMaSup0CyYmZ9rfjJBYB4OJTo0TrodchCAKCIGsjDDg6hDKVExz/4yIjKigoKCg0RRb9vR1fIR99RDc89HZY0TC28jlesE7gkF0rSNtKUWE+RqEQr4gOFx0n3MsAwPHAEZB7CNK21dmG/NxMvIQiVN5RGJ3tyDA7IpXngWi76vNTUFBoGhRnnybKtJ/Tvn15KCm8Tn3OVjNQq1SsFNvxk9vD3D+oC3qdmi92mVmllhfI7KL7NZjdteHsoOWwFIS6Ip8er87BS5B1Z54a1pV3hsfy+tCWV1bO8WLoHMGiOBEUmi6KE6GOqFUCY8NN2JwCQetAfKArW8p95YM5hy7ZN72gglAhSy7DBbKCdT28j6IocWzXevaKofxeHFJzwLkmxMteqwbg9VtbMiIhAH93PXuEKCqSt7J0yXz44zXl4U5BQUHhJiD7hCyc69s8AX+3mlW65kYDhy3ekH8KTVEyAO0TLi5I1qmZBz7O9kw8EI6oc4I/Xq1zNEL6sT0AuAbH4q7XcUZykRXXKwqu7KQUFBSaHCfXz0IlSPh3HlvnPiue7Mr6Z3uwcmI3fn24E7MmJHJ/1zD2v9aPVgEuPFY6niRhGg7xtzWg5RfibK/loBgMQIwqGS8KAegc3xK9nYY7E4OrFuquETq9ks6g0KRRnAh1RBAEXEpPovWWVVnjg9w4KcnhTTnHd5zfWJLgwK/VStXphRWECRn8KcYx3vyM3KYe1ROOZ+QSIaSyVwpjp9i85oCzHy8PimZgrE/1rkGtfPlgVBxDW/tz0GxEV3CcQTvulXNlT2+6gjNXUFBQULiRsC84Ln/xjCTUU1+9sje4lR/7KjzBXIqxsOoe4x520XHsNGo+GBXH4QKJtd73QMqG2ss0luZcUNM9N+WAbIt3JO56HdmSm3ygKO1qTk1BQaGJIEkSuiNLOCEEEx3bts79PAx2BLo7Eu5lID7IDW9neYFNEARGJARgRkuzkKCGMvuiRHgbOCzJ80YKaRiFQixaJ9A2UDqFks6g0MRRnAh1RZIAAYzRALTwcyZLZQTA+NcL8Ms9NSsw27+Tt39/FoDcnCyChBxOSP7sFJtjVdvXa8Vn59b1aASR2HY9KMOBxMop/NDye9A5cn/XML4Yd+FKU6SPE6dEb9TCOXMcWHhl566goKCg0HhYTbDoUcjcS6XFho/pJBUaF9B7ArD6qe6seyZJvu5LslP5wdIv5b6XcCIAdG7mSa8oIzNTnOUdRannNyhMhQ8iYUpC9T1LkiQ0pVnycWc/3PW66rJtRQsmXnp1LWv/FZWTBCD7YE1JOAUFhUZl+e7ThJsPURnc45qt0I9oE8DYDkG8MTT2moxXH4zO9tzdM458yUCQkCM7ERyMDTehks6g0MRRnAh1RRDgP+uh7+uAnD4Q7OVac/zAr7DgQfn7ju/lz9NbQJIQTq1FLUiss7WiCAMbmz0tiySeWnfZaYsrLRzZ+RcACYk9AcjCA4t33CX7Bbo5kix5V2/n63zh0OIrf3hTUFBQUGgctk+HXT/BsmfI3rOSoaoNFHu0ri415uKoJdhDT4CbA3vEMLK0gQBs8x0Ldk6XHf6FgdGcsFSJnxWe70TYu2QKSCIUp1dXXyiutOJFPpVaV9DY4a7XkVzlvHA5sxPWf1DrPOkb58BXnWWh4PqSdwK+7AhfJyn3MQWFxsRcDhm7STvwN3aClej2va7Z0AY7DW8Ni8XHxf6ajVkffFzsOS0Zaas6Qg/VbsyOPpfvdKXolEgEhaaN4kS4CvxdHfjR2octYhT7XXvBsRVYDi+HrH0UOIZCSQaWrAM4nV5NqcqZjt36AvDpmTZITr6w8JHLijJmFlbiSy42tT3OxsDq/T2jLu0d9XN14LBYEw420240lGbD4SVXccZNhPJ8mDVWfuisC/VQJFdQUFC4nlRabCRvmi9vpG4m+LfbsRMsSKHdL2gb4OZAIU4klrxLfOVXFHT+b53mCPcyoHKp0tgpSoXiDPm6mLyBViem1jSsSnUoKDPjLRRispfvQx56O0RU5Emyw0I6suz8CYozkY79QfHyN+Tt/Dpem88iSbBjes32xk/r119BQeHaUJRe5czrzoTjDwOgCmx/mU5NBx9ne1IlI5GqNBwEM2LHxxpuMjtnqCw6f9/hpfBxK9j5Y8PNq6BwjVCcCFeBvVbNf63jGW3+L09k9wdANfdOTJKGOwvuA2Dfmjl0EndSGtSTZwa0AGB7egXzQl6H4jTYPeOSc2QXV+JGCVZ7dxAEpoyJ5+GkcMKqVLUvhodeRx4ufGgZyVpbHF8XtUPyir7oClGTxGqCb/vA8hfAaq7Zf2wVHFkKM0dffozUrfBOEByvX410BQUFhevBllP5OBQeZb2tJVadMyn2Ufxg7YNzh3EXtD23fGMBziRFeV/Q5mI4OTlRqHJH2vgZfBgN694l7/c3yZFcGWr6X9WgyfJHuRmjUIDVII/vppfn7WOazM/WXpB7BGwWuY+5DL7shDBjBNGq0/K+f0Q7XJZ982DjFMyCHZJXFPzxCmz+qn5jKCj8m/nzHZh339WPs+xpKM1F7PAQAIU6H3BqwNX668zZSISzuMfUv5panTEYofScsriVxXJEc2EKHPqt4eZVULhGKE6Eq0CrlkNJuzb35ITkR6WdB2rRzCqxLfulMCpcmxN24ifchVK8EwYBMLS1LMb43HZHKrxawd65l5wjp8SEm1ACjnKo6ZA4P57tH3VZ21Qq2bZPbcOZE/ERxWaBA649IHPvhZ7PpsruGXJayOYv4KsucgQCUH56p3y8IPmyYa9bV80BUzGs/L8GNlZBQUGh/mRlZ+EtFLJejCWu+COSCl/mFet4HN0ufHA/Ny950ws90Wnqfov31Ov43NSfw5VVaXp/vo1H9ga+sw7gsFQVBVdwCoAdKQX4CPlgkCsU2Wnk6kD5OLNLbI4g2WTH7KHfSPn9I6jI54RdNA+an2ST2KJekQiSJPHjXDn94THTQ/yZNA8CO8Dy5+rvjFBQ+DeSulV2IuyfB2eOXXh890xYNxmKM+UoJFNprcOczinEcnQVf+gH8nTxaN62jGFb4ucNbPz1xcfZnkzpnDKO2gZMq9AbwVRUI1qbfQDMJeDgBll7G25eBYVrhOJEuAom9Y2ke4QXU8bEY7DT8rck6xTkeHcFINWxBa6iLLYoBCUC8MGo1nw8ujWiBKssrWWRqKqX39rILq7EXShBo69/bdpwLz0A74yIJdbfhbcOuAESnPyz3mPdiBzZsIhUvNkS/y6cOQIn1mCy2ti7rUprQrRAYfJF+4uiROmp7fJGUdqFaQ3pOy+bbqKgoKDQkOiS1wJwSAqmDAckVLQPdb9o+5cGRvPCgCh8XeqnKO6m1/GNbTADzO8y3PRq9f57n/gfrs4uZNmFwrFVFJabmbFsDd5CIYJPy+p2P9/Xgaf7RlQLOzJrNMwZR/CuyQAMK5rIH3TglOiNVNdUMyC3xES4kMFuMZwVYnvG/7SXraHyKmi90yIUFJoiJ9fBrw9BReEVdRdXvEiFnTuSSgMzRtZEbpblwYZPYOFDsPYN+DBKjkL6siNYKuD4H5B/snqc1evXoZUsLMr1YcGuDKbahhAYc/OkMgByuVqh/s/bV4TBS/4sq4pGOHNE/mw1Gkoyqyu8KSjcqChOhKsg0N2RH+5tj6ujjigfJyYV384n1uEMv/Mxwrz0LM2TH6ZEQQ0u8kqOWiUwNN6f+7qEMi03EpBg+7SLzpFbYsJdKENt8Ky3fTMnJLLphZ64Our4cFQc28RIih2D5VX3SzgumgL70opwyt/LTls4d22qCtnNO8HqQzmECFkcFf3lfdkHax/AZsH6TS96qqvKoJmKai7kIHvkv+kh31wVFBQUGgOblY6np3JSCOSIQwL+rg5se6k339598XJqE7qF8WD38HpPVVppBaB7hBe7pGastLVhSfireBuNeDrp+NOhD6RuoTT9IL1VclljTctbq/t3ae7Jg93DOYlf9T7RpzWb1O2Yb+uCq7uRib2bc0ryQajIr6lmdBlO55XRXJXOsbPXdGDiyqpoutrKUSoo3Exk7oUfb4E9M+WX+npizUtGlbaNj0v7sjvmOflv5vP2FJ/Jwjq1O6ySdVPyWj+MybWZ3KnwNKx4EX4eAZ+1l6uJiSKqDDnK8+1H76yOcgq/TGptU0MQBCyG65Seoa9KmyirchbkHgWNAzTrLW/nHb8+digoXCGKE+EaEePnTBEGfnYYh6uLCyPbBDCzKJZVtgSOtHuzWkX7LL2ijOy2hZLv3Rl2/XzRcc+UmnAXSsCx/p5Rb2f76tWoZkYD9nb2vGn3BFJxepMXplq8aQ9+Qj7RCd1wMhjIUXlB/gkyz+TjIxSwWkxA1DrKFSlqofD0fnSZO0gRjTxmflTemXukpsHBqnKYh5W8NAUFhcahbO9CfCxpLDNOYPNLfVn/bA+8nOxwttdevnM9OXuLerxXMyRUPGCZhEenOwHwMtgx39oZSVBjt28WAUIuBZIBJ2PweWNo1SrsnDx40vwwc6xJNEt+mjFlEznS8X3+erYHIZ766ioO5J2kLpQdX49RKGS7FMnE3hGMaR9IJh7YUCtOBIXGI31n7akBV0rZGSjJrtnOPwkZuxC/H3z+nHXFaoIlT6KZEodVUrFUTOSB/XKJcgpOceqbsWiKU5nj9gAPmifSZnNnWmT9lzaVX1LuEgHbp1GmckKKuRX+/ggO/kpE/jrytD4YfCL4+9kezPtPR7Tqm+81QuXkf/lG1wJDlROh9JxIBM/m4FHlBM6v2zVSQaGxuPn++huJbs3lsCQHrbp6Oxc3Jliexrv7hWI28UFuaFQCO6UI+UHobE7UPyivNGGgDBwuHr5aFwRBoHWQK3MyfUixj4Jt0+RQqeJMOVSuiVUoqDgjC3RFRMXSK8pbDqHdO4chm2QxxSNiIKdDRsmCXOcK11Qxde4iAO63PM0uqbm8syrfVxQlTuxcU9O4KK0Bz0RBQUHhQiRJYvHieZRJdrRIGoVKJVRr3TQEr97SgpcHRZMQ5EaUj1xlIT7QDQCrKLHtjJZUp9Y4pG/AQyhB6+RVa214lSCwUOzCc9YHEKseMUI85NQ6d72Ok5Kso1DXVTavI7MolPQ8/sTzPNG7OW8Pb0ULfzdyNT7nO34VFK4HkgRTu8mRivOvUqgw/2RV2mQRfNMT5spOO7L2w6fx8HUSKlMRD5mf4LhdDKRurn0cUYTkv2vETDd/BW8YYcd0MrWBTNHdyxmNN7mVKnqb3uOEPoE4kxxN9HFmLCvEdoCAFQ15uPB/+v9jgvkpepW/xc9+L4F7GOLCR2gn7iHNrz8IAkZne9qGXN1z6Y2Ko1vdBWmvCn1VhPG5kQhekeASBCqN4kRQuOFRnAjXiN4x3rx+awveG9kKgGhf5+pj7nrdBe0ddGqSIr1YlKYHpIs/UFUUoEK6okiEf/L+bXEkRXqxsjhYDt+fPVa+Ef54C2ycctXjX090FVUXXSdffFzs2WUJAcBoloW2UiUvtrr0B8lWa1lLt5KjmCQtJyVfMiV3RNRQkALAkewSyrKOkStV/RuevsiNW0FBQaEhqCwi7+/v6GDbRZpDFElRDR9e6+1sz/1dwxAEgZkTEln4SGccdLJTvH3Vy8LyfB8cCo7gJRQi6GtPsTNbZTHbKWPiuTMxmA6h7nRtLrc1OtmRKhmRUNVJz6CgqJig3HXs1HfB31gzn9HJji3qBDiyDFI2werXbxqtH4Ubm9VbdkLmHgCkq8lZzzksOwq+6SFXiCpMQUrfCcf+wLbw4epmuZILq8Q2rJI6QPqOC6MRRBusfAm+HwTfD0L6eSQsf44sQwzTXR4mqWIyRbH38u4I+dn0uBTAvfl3yGPjRibu3NUxmK0v9mLyyFYkRXox/6SaVWJbsvDg/xYfYp3bCFTWCgQkDD0nXfk5NxF8XB153XIH1nuWN+xE1ekMubKYZdFp8IwEtQZcgxQngsINj+JEuIbc2TGExDD5ZV+tEvjqjjYseLjTRds/1z+K41JV2NSZozUHjvwui+hIEurKqrxRx6v3+Ho72zMiIYBvrQPlHWnbZPEWkNMbzi2TeIPjUHnWieCDj4s9f4mx1ccOaaLJNzRnXpoLkluo/HueQ6XFRrSQwlHJn/dHJ+Du5Eih1ksuqwNkFVYQImSx3NYeUWuALV/VePgvx5av5Tq/CgoKCleCJMHscXiunkSYKgv3qK61rvg3JO56Ha0DXau3H0oK55UhMewXQ1CLZjqoDsNFxH6nj2/HlDHxDInz4/WhLZnzYEcC3R0BOSJBrbWnUOcNlxFX/Pav42z6bhIGoYLQpHvOO+blZMdP1t6g0sL0/rD+ffjx1pun8pDCjYko4rpcTn/cLkYgVRZfWRSnpQKWPlW9WYkdq2wJCKIFZoxAnbWHZy0TiK38lr6md+kZ48/U0i5IWkfY+eN5Q6X9/bNcoQogdQvC8VXMt3Ul6cwzvJbdBYtN5K6Owdza2p/e0fJLa4rkQ3zlV/zReQZ7XunHy4NiMDrbc1vbQJ7sHYG/qwNf39mG428OICnSi4lHWzJLNYiHnT4mLCjwyn67JsS4DsFED38BTUjHhp1I5wg6gxwte3Yh0StC/nQPU5wICjc8ihOhAenf0oeEILeLHg9wc+Sk5IuEUONEMJfDrNtlEZ38k2hN186JABDt60QObjxprvF0zwl+TfaEZu6+JnNcDwzmXPl3MxjxcbZnqxjFbGsS/Uzv8GHQZ2DnxNbkAvY6doBTf0FROmz8DEqyOJpVTLTqNG5hCQyLDyDI3ZEMwbs6EsHx4EychQpOSr4cj5wgO1tOrru8UUdXwO/PyBEe5vIG/gUUFBRuSlI2QvL66k23NsMb0RgZjVquCLFJbEG5IDsEVHqvWtu2CnBlSJxfrcc0ahUt/Z1JwafWSARJkvjrlylYv+qGeeVrDCyeS5bgRUjb/ue183KyY3uZF4/ZvX7+AFUicQoK15z0nfA/N9ogizWvsbVGZSm7IsdV5Z4FkLKB18T7aVf5OS0qv+V5ywTSBF9m6EbRyzSZubYelODII4M60Dvam0LRgRMeSXDgVzn6ALCJEktXrsAiqXktfj2zvSdyn3kSL4iP0LtVCL891oWFj3QmrEr88KPRrZn9QCLBHo4U4ExwWCQuDtrzSsG2DnRlw/M96dvCB41axdj2QeRbtLxQPo7xw4dcd4dmYxDk4cjINgHXZzK9l5zOULWIhVuo/OkeJke8XIGYpoLC9ULT2Ab8m3HQqXF01FOg8cH9zFGQJH75bSm3nW2QshE7S1VJn2uQzgA1uam/iYkEW7JJkbzZfMyL0TogdQsE3vjlemyihIs1j3IHN/RqLQlBbljR8Lz1AQQBEgx2DIr15ck5u5mW3ZxPrJXwUYzc2VLOSaEXrYRi8gNbAxDs7sjJXC9a5u8CUSTmiOzVXy/GYrK04C0+kh0szXtf0q5dy78n/uzGnlnQ7irzJRUUFP5dSBIZKz/GSXJgkuU/jDDso19AQmNbBcgq7Lm48pV5IE9p51El/1NvWvq7cDDTi7i8zQiSdJ7o8L70Isr2LkKj3sPDGjlkfFbEx0xUnb/eEVQV2bCkIIh04VXUiHzVbBMeKRuvzKgbibwT8iq1JMkvi7d+Bu6hNccrCkDrCBq7xrPx34YkwW8Tqzfv0H2Ci7nKCVacDg6uF+lYO/OWLGYYdvxgTqrWDcnDhS4VH0AFdGnmSW9/Zw6kFzM8IYCCcjlK9OusZrzHMjmNZ/dMMru8Q5iQyQnJj+mbUoF2ONlrWPpQJ5p7O10wr5O9lsQwD1ZO7EZuiYkAN8fL2torukYfoMMlSssqXCEGY5U+WYa87VLlvHAPkz9/HgEPbwFjVOPYp6BwCZRIhEbGz9WBNFUA5B5F+mkot+29v/qYlLIBh2vsRNCoVRx+vT9WNHxiG0GXEY+QJbpS6uAnr7g3AUpyTjNYvZlC50gAXBy1bHmxF3881Z0PR8UxvnMIQ+P9mTyyFctL/1HqrPA0HF8FgGtEF0D2Om82BUN5HpuWfIuTOYenzP9B8oxk5p4istS+1TmQ1ZjLZR2J5A0AJOeW4Je3kd9siZR6xsG2bxv2R1BQULjpKN35C34ZK5lh681KsR0/eD1zQWWfxsK+ymuwUZQdsmquTIy3mdHAPmsggqlYzvE+h6IKC0FCDlap5tGka+KFIcVD4/1Z8HAnQj317JQi2CZF8VeRN1LecTlUvAlj2jRV1nc4tQ5S/paV8YGSbTPhg2h4L1x+sbBZG9fQfxFlR/+EzN1Ms/ZnuOlVJGNUTZWRU39dfoCcw1Ao6zWVmqzESMfZL4US4++KTqPi+JsDqpt+P74dX93ZhhcGRPPz/R1w1+sI9zLw473tWVspP/Mw5w44sozyvQsJEzLJ0gbQNtiNME89G57vWasD4VzsNOo6ORBATs3d8HxP/nqmx78iCuG6o/eSI4GL00FjDw5uNfvPsvjRJpVurPDvQXEiNDJ+rg4cFf0gex/COcJQe526IqVsxFkqkXdcZXWGc7HXqvF3daCZ0cCIBH98nO05qQ6DnEPXbI6GxHJ0Fc5CBYdjn6ne5+1sTzOjgWHxAURU3UB7R3tjQseX1iFMsQ5lt9QMW+Fp/NJ/J1Pth6pqhS/Yw5GtonxzdtspC0yuF2O5tbWsV7HR3Azp5DqytsyTRRZNpfB1d1j5Mnw/EHb+yNHNS/EWCllua8dWfQ/IOVj90KCgoKBwOcxWkQW/zqVMsuNoS3nVU3WDPbR/P74d26VInrY8iNDnf1c0RnOjE4ttnbBqDTX53TYL/DSc0LWPEixks0zsUN2+beiFDnStWkVCkBtTxsTzxbgExncOYcUZTwRJbDLO8NoQRYmVW2SH9U67dmQHD4ZDSzh56hSlv70EJRmyUyl5/XkpLwoNhyhKfDdzNgDvW0exU4rgP93DOSAFk+baFta8eX7uenk+pG6t2T77vPBxSyhMJXv3ChJUxzHE9GHhw53Z+0pfNGoVmqrKK0mRRgx2FwYJdwz3oEznyZe6ezglytEBQsZOgoQc2rXtwNwHO/L7k10bpPyrv6sDQR51czoo1BODEUqz5ZRbZ78ap3HUYOj5MtwyRb6mLX60yVVRU7j5UZwIjUyEt4Gd5TUex48sI/g/yz1sEaNRFaYQqzqJVWUvC7BcQ/54qjvLHpcFu1r4ObPX7CeHUVpN13SehiDrwF8USnpU3i0u2c5NryPEw5F3rWP4O/A/pImeVGQcoZX1ANZmfasv1kHujpyQ/Ci19yVKOE2B2oNP7u/Pw0nh9GvhzTK6IJiK8Pn9PpjWj+yvh8GZoxT3+QDCeyH9NpG4nS9TIugpD+vHF2khsgH/EHRUUFBQuBjbkvNppTrBXjGcSf1jGN85hP/deulr3PUmKdIICMyzdb+osOLlaGY0UIYDe00+iAXJcnm6maPgxGoCMpZjECrZJTYDwKJ1ueRYLf1dGBjry4iEADaKMVQ6eMNvT1XnjDc19qYXESOksNzWjuFFT/JiSgJU5BP2Q2t8hXy+sg6hh/p7JEEla2coNDjZJZX4i+lkSu6UY8+7I2Lp2twLEHg0+xYwl8hVFv6aLEcoft4BvusjayjYrGR/Nxqscglv69FVbFgynRLJAfukiWjUqpoIn+d7sumFnhe1Q6tW4eVkx7vFfelh/ogtYhTN0xeiFWw4NuuCSiVgp7nCHCOFxsMzUk5RSt0Kzv41+7X20O0ZSLgLujwFe+fAmWONZ6eCQi0oToRGJsrHmWO2GhGqT2zDmSP0Z16J/PA4SL0Vs65++XZ1wUGnrhbTaeHnzNYyo1wO8ceh13yua4nFJqLN2s1BVXNiAy8uWnmW6ePbMyIhgMFxfqRJnhhMWdgLFgISaoS6Wvq7EOhu4JOSHgDY/NvTqZknGrWKrs29WGuJqW5boXXDO28rNkmg3RIPNrd5H7PeD28pl+zgITzUuwXby7wodImGHd8rnmMFBYXLU3ia9B1LiRFOE5/YA39XB14Z0qJaEO1G4um+EdyRGHTF/d31Ojo38yBD8kAsTIOcA3BiDRlR9/Btix9ZKnZkldiGnqb3OThsZZ3GDPHUU4yBTzT3Qt4xOLjoiu1rTDYfyyREyOKIFED7EA9WV0bxq8MIciVnUkQjs21JnCpRkaOPgoMDtcXxAAAgAElEQVQLm3zqRlPg1JkyQoVM7L0jeGd4LMMTagT3dkvNGGN+iTzHMFjzBrzlK4vkAWz9mqzNs/HO+ZsZ1l6U6byoOPwHrVQn2CeGEux1/vOL0dkeXxeHS9oysXcEYZ56DHYa1tGmer8Q2OESvRRuaIKrKrgVp4ExpvY2UYPlz4uVgldQaCQUJ0IjE+3rzHHpXCVrgXs6hXDE7MVJh5YApEbc2aA2xPi5sNbWmnyVB5zeCGeqLlTm8huuZNaO5Hz8ycEvPBZPw+WFpUI99XwwKo4AVwf2iWHV+4WQLtXf7TRqXrulBd/aBnKX+Tno92b1sQ6h7qjUGr6w3kKq6MWo0kkUSnrm2pJQ6xwY+9Mh7pZeZYp1KK59n6dNkBseejuWOdwiPxz/MKTu5SHrQlE6FKVdu/EUFBQaF0nCMmMMow49jk6wYh/ctrEtuiSP9mzOG0NjL9/wEtzdMYRMyQNVcTrrV/wCwLDdbXljh4bHLI9RoPXlpOSH3rNuCulnw7+n5ragWB8C88bDokeanG5AWc4p1ILEadGbuzoF42yvYWLBCNqZvqK7+WN+eHoMcYGuTNPeLld0Wvp0TWdJgk1fwOFljXcCNyHJuWWECllojc24vX0QWrX82Hy2BOomsQVt8l/ngEdfAHIlZ464dsN68i8Or/iGFNHIy9bx/K3rjP7UCloKyTSP74ZGXf/H76Hx/qx5Oomn+kQwy9yVA2Iwq4Imgr3ztTthhevLuRG1MbfW3uassGotFW0UFBoTxYnQyIR56inAmb1iKJmdXmPhI515tp9cdmdAwdP0Un+PW5+nLz/QVdDCz5kSHOlX/j9EQQ27fpIPfNMTJjdv0Lnry75jp3ASKvAJiqhXPw+Djj/FOADMWhewO194qEeUkS/GtWXYbXfh6V8jxtjc24mJfSJ4z3o770bNZZ8URmvTNxjHTWXrS71JCHJj8xl7lnjci6dfKCqVQJ8Yb15Pa4VZ6yznrWbuvfoTB9g3T64yMbW7HAKsoKDQ5Fn++69oc/fX7PCLv3jjmwQPg53sRLBVYndiOSdEX7KRdX/ahbhXr/Z66HV1HvOBbmGIqHisYDQZumDY9TP8PAwqChvkHBoCoSq3/taeXRgU68viR7vw/m1xzH+oE4sf7Uywh574QFemZjYjM+5R2P0z7JohRyT8PAJWvACzx0D+Kfm+o5QavmryUg/iJpTi+A/n3q8Pd+LkWwP5+7keOGg1DEq/h4jKH+hjmsyi4gg0Jel0EvaRbezCgFg/Jpf0JVkVyGKxE4YeEy8yW93wd3OgAGcGmd/GrssjVzWWQiOjUsMTe2DwxxB0oYgsIJd4d3A7X3tDQeEGQCnx2MioqsR0bjG/yZ4ufWntKIvivDUsllcWH+Cz+9pjdLJvUBsC3OQQulzcOOLcieidP7JG242euVVCi6W5YKi9Jvj1JidNzgmz9wq7TMvz8TDYUYYDY8wv8c6dgwmupc2AWN9a+97fJQwBgdHtAskrNaPVyGkOOo2KmRMS2XDiDJHnqCFP6hvJ3O2p9Cl9lXV2T8kiiwFtah1bFCWk9e+jLkiGoZ/LYbiCCqKHnNcueeMCQlZWlYwsPwNbp0LiQ5c/cZtV1n5QqeUb0IZPwLc1tB1/+b4KCgoNiiRJnNn+KyZJw7vWMYx12Uczt5DGNqvB8TToSJc8AWivOsLpgFs4Pn4AJZVWJMDZXsP9XUNxq4cT4cWB0YR66nlhAXQqbsWvxu+IP7UGVv8P3IKh0+M3TKULAMxl8Ms90PlJCOkMgGPxKQC6JXYAQSDEU0+Ip/68bmdXwLtvacfekDbYL3qY7K3z8c5cTbrgg7+UhWnte9jtmyl3GPg+tJ9w3U7rpqOqApMqtMt5uwVBQBAgwM2Rz8fFc+/32zGjpUWQF9NPa+mg309322YSeo8mucTIsn1Z9DS9SQs/Z4a7+VyVSZ3CPWgV4IK9Rk3X5p5XNZbCDYBbyOWfydxCoSD5elijoFBnlEiEG4Dn+kfh7WyHs0ONT2dQK1+2vtiLaN+GD1MTBIE3h8mpE2+ZRiKZywha82hNg9ObGtyGulKeLT9k4Vq/nFyjkx1xAS6owroRGBpdr746jYqHksJx1+uYOaEDP97bvlpPQqdR0SPSiJ9rTS6jl5Md0+5pR6pkxIzuklUvXvhmPuq1b8Dunyk+kwVz75LLN52jpVBSaWHtstmUSXZEVU4nz7szrHipTl5p84L/wKetSUk+Sfo3o2Wdht+flYV8FBQUrjmvLj7A4WkPwrJnL9s249QR+tn+ZL+uFdNsA3jb+P6N9aLbQHgY7Ngk1lyHfWI6o1GrcNPrcNfr0KhVBHvoLzFC7dzeLpCv72xDzyhvhuXcT7bGH7Z/B6v+K1fWuRiluQ27ap+5VxYuPkt5PpXfDoJjK+W0C2DO1mT6lS8h0z78/PJu/2BQK19eGhgNGjvapD5BnmMY3pmrOSb607niA0p0xhoHAsChJQ11Vjcfe+bAggdg3n1wdAW7U3JJKF5DsZ0PeDS7aLeeUd4ce3MAn9zemvdvi6MCe+4ue4whmi/RRPVnSJwfIxICuLdzKIse6XzVZjrZa1n8aBfmPJiolF38t+DkCyXZNduSpGhuKTQ6ihPhBuChpHC2vNj7gpvB2SiF68G4DsF8c1db1hd6kaYJppkqo+Zgyoa6DZJ3ou4XNdEm37DNZbUcE2HjFNg+/bzdFWYbjuVVegD1dCJo1SoWPdqFGfcnXtXvWtcbdlKkkR5RPpxSB0P69ou2K03ZU/3918/PeenI3F399Wh2CeFCBickPyqxo3/KWESVBtZNvqQNO/buR3fgFyg8TcFv/8W/4ihrVIlgM8OBhXU6DwUFhfqxa9MfRJ2eLUcLXUr4rjQHl9mD0WFFVaXDcnv7KxcsbErodWrKVE78bO3FHk0suvjR12RcQRDo28Kn2ik+paIv+VKVOOXmL2rvVJ4P7zeDhQ/Bps9lXYGr5dR6mDEK5t6N+FVXmNoVvuxUXfa3/PdXsM/ZJbctOAUVhcxYsYFQVTb7fEde0pGkVauY0C2MGfd3wNXJiV+K5Zzqk74D8TTY86rwEMdEfx4xP850az+k1K1Kjfm6IEmw9g1ZBX//PJg5Cv2MW+isPoCYMP6yzj2tWsWtrf0J89TT0t8ZnVrNUyN7A7KQ9Qej4vjvkJgr0kK4GIoD4V+Ekw+UZNZsf9YOpg9sPHsUFFCcCArn0DvaSN8Yb3aUy+FxlZKWU04JshMh+W+YNgAydtXeefcsmJIA/3O/5Mp7NZs+h18fgI1T+GrdCbYt/RZ2y6snB/+cDStfht+ehMyal+zUgnIChFxZa8Dh2lesuNYEuDnwhzUeUrfI+hKLHpEfVMzlcGgJlSX5hAhZ1e1HistrOi98BJZOgsNLOZxVQrgqg5CoeO7uGEwubvyhHwx7Z0PZmdonN5fhsPxJzJKaTLtQWp+RV6O+qOhLoX0AHFHEtxQUrjU2UaK5Kr1mx7F/VBcwl0PKJjiynPJPO6E2FfFp4Ee0btOR5HcG0SfG+/oa3EgIgkCop56XrfeRMmSunO97DfF1ceDt4bH8bOtDgulrFjjeBod/g/3zYcvU8zRl9i/+WP5ycCGseFHWFSjNvfjgknTJEpIlFWYqZ90Jx1bAwYWosvaSJnnKZf72zKbo4Goc9/3It9YB3GOuchxnH6CFQz4Andon1ukc24W48+mY1ky1DuJb6wD63fsKfWKMzC+K5BbpQwpCB7FdjESwVsgpdQ3JmWNNPuLhw9nLoPA0L1vGM9D0FgDNzfLv5tr6ljqPIwgCSx7twtE3B9Ajytggtir8C3HygYp8uQy7zSpXoTmtlHlVaFwUJ4JCNWdXcU6KcrWIYvTsVLeGrH3w/SD5grX48Qs7Zh/AsqRKKEgSYdkzl5znYEYx+1f9ULWxmE9+3027bZNg4UPYbCJb1pyzSn7k9+qvp/PKCRRysToHXtV5Xi/83RyYZe5EpcYZ0nfIQl9fJMploObcgTRrDKGqLLIkN45rI9ALJiolLSuDnpIrO2z7Fn65h9ITW/EX8nAKaMlrt7ZkUp8IvsqNlX/ri0SJ7PrlbWLKt/GheDtPlN4NQKnaFcm/LX/SFk6uA1Pp9fw5FBRuegrLzRiRU4VK7Xxg7Vs1ByUJZo+F6f1h1mgczbnM9HqSp++67V+5ojhrQiJrn07ilji/yze+Aro088RDryPEw5GZxa3k6+W8e+V0rl/uhp0/kZdygNwDf17Yec/MC/eBLNL4ZWd4L+x8R0Nlkbzan3+Sg7Newt5cQLHkwGpbPNGV0+hi+oTj9rGw/TukXx/ilOjNUs/7OCBWqfNk7cOx7DQABt+6ixm3DnSjAGc+190Ldk70beGDt7Mdn46J561hseyTqlTdz3HGX2tKKyopnDpQTsPbPavB5mlo0o/uAGCn2JyDUgjRldPIlZyp0LiAV1S9xvo3/j0rNDCGKgdzabZcmeUstUXzKihcJxQngsJ5+Ls6sE5sBUCx4My0shq12EPaaKTs/eeH6JadoXL+Q5RbBXqZJjPHmiRXJCjO5GJsOnGGQCmDAskAOQeYop1Sfazym36M16xgky2GXIdwSKtJBTgbiaB2r00W8cajU7gnaZKRtqUf0tv0nrwz9zAAhQ7BOGRsZphqPRkqPzZXyI6RdMmTx06251bT/xhgfgdRUDPhqCyKJQTJK1T/SQon3SESs2AHx1bVTJi+E84cI6e4Eo78zm4xDP+Bz7LVFsEY80vsv2UZvVsGMLu4JdhMcHyV3L/4nNQVBQWFKya/zIxRKKRIcuTzij7y33upXDc+5fBOOLmWCo0Ls61JtK38kiF3T8JBp25kqxsHLyc7Qj3rr3tQVwLdHdnxf3348o427LPWOJ5z3OLh0GJY/ChuPyTRQ72HhbZO/M9yJ6NN/8cx546yGOOGTy8ozyuteUN28FYWVlcxKq20YPumN9KH0ZR9M5AOp78GoL/pXX5v9QnTH0hibIdgppb3gJJMXC3Z/B7+XxY80Ruzg5ECrTe2w8vwsmRiE7TgXHenilol8NtjXVj6eFcAekQa2fJib/rEeBPk7kiBzo8KlaHhnAint2D5tB2uFvn/cQ7/1jDzNDAWm4jenAfA5PF9mf1AIl7u7jxheZTDbV8HlfKorNDIOFUJf5dkQ9Y5Fb9yjzSOPQoKKE4EhX/g7+rAHqkZo0z/x+aEyRwo0TPO/AIPmx/nk7J+CJJY/SJcYbbx2dtPYZ+zh/etozgh+fOTTc4BJHn9RefIykrDRShninUYORofeqtrUiT0WVsBOOjUkS3mEMjYWX0sLb+cAOEMOo/Qa3/iDUBLfxd+uLc9747tQoY2mMfNjzDI9BZtKr+ke8FLAKgFiXL/TvwptgYgVJ1L+1B3RL82HBKDmG8Yi4oqnQl/ucKDVq0iNtjIYiEJadfPshbF4aVyysRnbamYcz/xquMIkYO4IzGYZ/tH4tu6L+1jY+jXwpttYiSVWlesvz4CM0bKeXVXIdAjFSTD3x9DUbqsZVGef1W/m4JCUyW/zIy3UEC+yp0dlhB5Z8YuJEli3W/yS2eP0jd43voAb9zRo8Er7yhAtK8zoT4e1du3nKmpamOTBKySinm27kyzDSDNJYHROXdTameEVf8np9RVIRWlY9v+PTOtPch0bgWHf0OSJB6cPA113lGE8jPoK2Tn+RrDYGzO/jyUFE5imAe9oozMN7fnQ8tIPjS+yb1jxyAIAtG+TiyyG4w6eR1j1aspdI2RK+nUg5b+LucJ+55FpRKI8XPhuDrs2jsRbBakBQ8gTutPRXkpE80PsUDsjpSysUmWH84rNeMlFCIKalo0CyMxzIMlj3Yhsddwonvd0djmKSiAU1UkQknm+SKtRamNY4+CAooTQeEf+LjID7VbpWiG9uuNs72GDWIsgV3HckiqEv2qUrlOKyiXBf9EXxJGPsMHt8VxXB1GmdpFFie6CKYsORTrpOTDXlNNWcUXLfdVf9fEjWR3pQ+U51W/lJYVZOEomBDcmkYkAkD3CC8GtfJFoxJYLHYmWRtOzzYtUOvdmW+TV48McbeyWoxntS2egh7v8NN9HVjyWBeeHxDFc1k9eNYygbWt3gdtzQtH2xA3vqjog4CE7cgKSuc/TqHWiCXqVoLT5dzU2AH3IwgCDyc148NRrVGpBMK8DET7uzGtohsaaxkmSSsLe2Xvr9X+y1FUYWHXZ3fBH6/ARzGylsX6D67+h1NQaIKcjUQw+gaTatccG2rYN49jWYUEF+8gQxdCQmwL1kzqTv+WtZeUVbj2eDnZ0bnyEz5ouYgsi4HHzY8yyPQW3Ssm8x+H99mhbk3bYDdeHhRNqcaV+IJ32KBJRDq0pPql+Piid5BEkS9sQ/m9PBopYxeF+blEVcov6N+obmO3GM5I039RD/mILS/2JtxLFnXsHuFFu1BP5juNY/zdD2CvlR0F0b7OTD7TiSLJEa1gQxwypfYTuEJa+Lmw3RQoRxDarNdkzI8XbaD4jTCEvXP41jqA5zw/J6LvBLbamiNU5FN2cDnsmydXpGgi5JRUYqQQi51HtRPHxVHL472aV/9bKSg0KmcjEUqzIf8EqKvK3yqLNgqNiObyTRT+Teg0KiaPbEVcoCsGOw3zH+rE1uR8xrQL4qdNyaTqWxC44RNKIkdgt/IVBqi3scqWQL8WPjjqNCzbl8lHxwbz8vEZcGQ5RPa/YA77QtmJMKhHd46uO0JvdlEkOTLT1ouZtp64Usqnoc35e12V57XgFDi6I1QpW+PadJwIZ/nyjjYs3JXOeyNbIQgCz87bwzPbH+RQ6N081jIRaf5K7rM8w+GONb/XfV1CSc0v51iOJ82S4s4b7+6OIUz9M5ByyR7HlS/gIAkMNb9OWVosoeZm9AyxY5x7SK22jOsQzKsLhrNDbM4+MYxNDk+g/mmYXFasWS/QG+WaxXZOlz2vZYtmMsZ2/iqXtH0aQqvR4Nuq/j+UgsL1xGaFWaOh5UhoPebKx5EkOPknhYVG2gtZqFwTCJKMLEjtzG375qLJKaaN6ihS5O18MaLNtbNfoU7odRrS8SI2Ogrdrl0stnWiTbAb5rwy7hremo+D3dCpVeg0Klr4ufDY7F0szGhFZ+1mOHOUzaVeuB5fyxZVKx4e2pMFC/O4106k9PBagoUciiRH3iwfBgwDoF2o+3nza9QqZtzfAbNNxFFX89h1V8cQpm9I5j7z0zzQI5K+Yedf56+WVgEurN0UjKCqlCMIfVpe9ZiHtqzEWVfM99a+ZHV4mR8GRXMsp5TnV8gpI/p58t+RpNIiPL4LXG98DaOcYhNeQiE2vSKEqHCD4ugJghpKsuTy3v5tZZ2yCsWJoNB4KJEIChdwW9tAIrzlF8jm3k6M6xCMSiUQ5K7ntYL+UJLJxk/uJOiELD7VrmVU9YPR4Dhfvrf1I1UdiLTm9QvC5EsqLQSYTmJS6wkOj2GPGAaAi1DOyondCHBz5PnhnYjydSJZ8pE75Z8CwL7srBOh6ZVB69zMk8m3xVULLj3WszkTujdjaL++uDhoWft0Egsf6XzeqodWreLNYbHMfbAjge6O543noFMzKM6f/VXCXFlubZh0z2hESWK12AbvLvdc1JbRbQMZ0ymCu+55CNHgwz2mpzlmNcoK3hunyGG8O3+67Dml5pcTcPAbzqg8aFP5JW9bxtDF9AlmUQWbv7yCX0lB4fpyYNV0OP6HXNLtKrAeWAw/DWXM6k54CCXoWgykTbAbr1vvYI8YRlj2cgxCJYboXtfIcoX68NKgaEa2CaBbhBdzHkzk7o7BzPtPR7a/3IduEV4Y7DToNPLjUJCHI9/d3ZYtYrTcecf3bDueSbiQQfO4TgyM9WG/0ByTyhEheR3BQjaSWyhD4vz48d72LHu863mOgrNo1KoL9od66lkzqTuBrXvRufuFDverpV2oO1vPnsc/K4VcAWUmKzGqFGySgNvQt/nvkBhUKoFwLz0p6hpnwRYxCkG0wK8PNon0htxSE0ahEJXTv6M6ikITRKUCg1F2IuSdAO8Y0DoqkQgKjYoSiaBQZxLDPJiRFUex2p1+NjmlIUtywz12SHWbYfEBlJlsTF3SmzeypyN9PxDh7t+qQwRP5pYRo0qhzC2aEE89m8SY6r4R3k78/VxPACRJIk9bFb6Vf4r0tNN0rPwLBJqkE+GfBLo78sKA6OrtKxEYC/M0MNU6mPa6I3gnTcA/0siaSV6UW2wY7C7+p61SCbx6i1xbvGeUF3O3t6JPUSs0WHHAzDaHR7AvTLns/Bs3b+A2YT8l7SbRtyIWb2NHhI2nWFkSy+AjyxAqCq++FKckySWNtEruuMK15VRuCbqNH8mu9ON/gKmkTtE3/6TSYuPIgnc5dw1ZHdGfSdF2DInz465PLPyoewe9iydBUYOvmf0KdSfQ3ZH3b5P/heKD3IgPunRJSU+DHRWGIJbaejBwx3QKvFqiFWx4N28DjjrahXuzPaMFnY/NIEAN5V5DmDIm/opsC/My8NHo1lfU93L4uzqgdgvghC2S8MNLoetTVzVe7tZfuFO9ilKnUG5t26x6v0atwuDsTnKpN3qtwLjKF5novJZHUqbLq6aezS4x6tWxfE8qQeufJia2LXR4UN5p7wzbp8n/3bFAfvm6BDnFJnyEfLRu3RvMTgWFq8bJR9YJMxXLFUMc3BUngkKjokQiKNSZV4bE0LOFP3dVPMk2MYJ3LLeTaPocXczA89oNi/fnV1sXeTUiZeN5+ggZp4/RWjiOEJiIl5MdxRj4xjqQwn7n54IKgoCPhxv5ak8yTh3gxNSx9BW2kuaWCHaG63K+NzoJwW6sFtvwdswiNHGjAdlBcCkHwj95fWhL9rzSl80v9GJS/5YkRASTLnpCUdol+0nlBf/f3n1HR1WubRz+7SmZ9IQ0IAkQeu+hF0G60lQEKYKIgopHpSifR8Vj7w3LQQWVY8MKoiKKBQVUIICIkd57J4H0mdnfHzvSS4CEYZL7Wos1mdl79jwTXSuZO8/7vDRLGcNhWygRbW7hiavrcmPrijzauy5TPe0wsg9ifvvvC3p/AObc5+Cx0rDiK21JKYXq7emzqGrbxkJvdQDM52vC1sXnfJ3vF6+gjudvPvO0BiA9tjE4A7HbDGqWDeeGLs15seo7hAyfpSnvfqR2fDhfZ9fFcGdTe2f+tsNlrCCia50yTMlqfeTcgPi6viixQPo3Lc+szOqY25ee93Zwizcd4NOXxpL0wy1EGYcx61x70jnZeR665z7GpoG/MHFwc2Ydqmwd2J16IeWf1UtTv6TW3lnw06PwZDnMpysx++uP4KtR1vbUp9kG+Vj709KIMdKxl7r0l15ICRZaxuoYBYirBcGltJxBfEq/0UiBGYbBvd1qklC7DS+Vf4Wg9mO5uc3JOyWEuBzc3rUh/XIf4KARabVR/vIsK2a9SeSsOwAIbX0zhmHwwc3NWFRtDKFNT56AnBQTzOq8WOI3TqOtfTlfeFqy7yr/3Ye6sDUoF8nKR7pyb992cJ77UrscdiKCnJSJCOTWdpVpklSKbd4ovGnbzvi8bz98iSTvJpY0eRZCY488nlyhFPO9dfnG0wTP+l/Oq6Z//Lp6F8aPj1h3PhoIr7dR6i6FwjTNIxPrH8y7gZtyx7A7Lxjv58PPeaeSsr8/jN0wect9BYNzx+G+9vilQCPbV+H165OJ1k4MfuX16xuz1FsVgGvM2WQFlIJo64NxrwYJ/GwkMy7vZp6MexpH6zt8WeoZ9awfT4q3Oobpge1Lz/6EU3j3h8X03j+ZeZ7avBB5L5Gdx510zvN9G1C7YiJ1y8fQsVZpcktVxYsB63++0LdwRjc6Zh133/Dm0WnR8KMPFGBnCs+B/KWSEQoR5BKWdDS4JK6mOhHE57ScQc5JUkwIrw5sdNbzbm1XmUPZeayYH0+L1GmQOo2aAHb4PGIIV0cnAdCycgwtK8ec8hoVY0LYvvLo1lxtb3yCUuWjTnluSVXYk6NjQl1sN6Mx007/16Pd6dkEbvqRHQGJtOzc97hjIS4HEwc1ZtGH1eiWvsja0/hM60wz9pG5fyu/7g2iY+1ECDg6++Hrn36mJfCzpx4p3mqM2f8prJoJDY8JnDbOhzJ1rfZVkQLamZ5NUu4a3AGBrDLLscKsQExOGk/un2TtdV8zf4nWrlSIrgqOANIycmHOE0Q06Wv9AgfMmLuY7ge+47uIPlRPaMX3K3YRFZfgw3cmhcXlsBOXWIk/d1eknm0DOfHNCMoPa0NdDhbc15lcd0fiwi/tcCixVBCbA2uAF2vHhH8+iHjckLEbwuPP+PzMLX/y4uZrwICq1z1Fo6otTrkNZeuqMbSuevRnednYKP7cUIkGKZOtQb1l6sLetdbMnYqXQfNbTv2COYetJWwh0ac+foynJ07iHrsVUnTIeYY7HZ8TRTqt7an8ZmtMlHmAqpsXkp7yCQHrvyO4dFXAgKwDUPeaI9sm2w7lh+YRiWd9TRGfaXQ9LP8EKl8OwVHWv53LfV2VlGAKEaTIVCsdxhozgRb8zVR3O65zzAGgRZfrCvT8GmXCycv/emunN0isWDTrRuWomFAXy81o7Jl7wJMHdudJ58z+cwPXGH+TVXPwkWFkx2pVJZr/5reIs+EXqHdy6ytA7vblGJM7EezJoiPAF0D3FyD5RgCC91tte4+5B7LGTODWgK8J3r70SIiw8Yc3SZo7FlqPho4PXvB7l5Jj+dY0ats2kh1di8l9m1EpNoSrn0njMcdkjI9vwDbqLx7+egXjV11ltY02v5XR32QyOe95WPQ8jFmFJ6Q0q36eSk/DpHq32+hYvT7n1sMgl7r65SIZv20otwV+y2VXPn7cscjgAB9VdW4MwyAxoRyHt4YQun/90QOf3wSp0+D2FIipesrnHt78B2mTryE4v9GtdI0WYC/Yr412w+Bfebcz1zWKjOVfkf7zJMLWTCfUfRBz9SyMCi2sE8senSZizqib9M4AACAASURBVLoPFr+N4c6Cev2g93+P77I7uBm+fwg6PMCyw5GU2voDOGBWvQlUPlybT/Lqs3LNGoabX+NMvp6DKZ9SffNnRG7OX9Lw99FLmQvfwEhsgqd+f4an5S+nDFcAKJewwAgY8fPx97PTfFePlHgKEaTIVIkLZYC7L994m7LUW+VIiFC26tk7GQBqxYczOO9atphx3Nn8miKsVP4RE+ZiLxHWncx91iCfE2xZ8h2BRh6B9a885TXCAp3sC69Nel4k4atmsiA9kvqbphDY579HBtdtWrmE8Km9CTLdOI9difHVKIitwfq8KO7LeQGAB27oxY+r97M8pSJNty3GABZt3E/ozy9ZC7K2LirE74CUBMu3HmCEsZHA8tfTvoY1dO3yxrW5ZslDTHeNJ+v3yexangMBWGtQZ/yLO70VjywAND8ezIouH1MnZykZofFUqKltG4uj0Z2q8bLdRmy9wbhizzyM8VJWMTaUTZvjqLV/PUZ2Ghmz/kNI6jTr4A8PQ79T7MazZjZBH1yHiZOxeSO4olVjLi9ggADQu2EC/1q5m7+8SVSe/wJlyWG9twyTvFdzl+NzeL2tdeKQr6BiG96ZOpUbVr7CIm81zPByNF32oRUY53dOeLwme6bcQJkDiyEnncXln6KVLZVVwY1o2qU/XUMCyM7z8Oy3YTRr0J0NezN49ff99LTNp5JtJx+52zHb25gDZig7zGhucsyk25bFlN38LxKBhWUH0rRU0oV9o0UuJlc4ZKf7ugopwRQiSJGpEhdKOiG07nQ1a+Zv5LbMO7i56iEaFnDSflJ0CNuIJavVuAL/9UMuTGyYi71m/tKAjD0nhQiHsvMotXsRbqcTR4VWp71O17rxfLqgJTemfk6z1M+tB3+pDJ0e4o9F86n4dV9ycdCHZ3jAO5FmtpXclDuGx11TiP1fb8y8KLDBuoTetKlelm1pecx316LZ9k/xbl7En3NXMMxmrWM1ty3BcOeAw1Uk3xMpBty5sGcFhMVDYDh7NqYSamRD4tHupsevrss40yQltQZl57/Dw85sMkwX7XJeYJrrQerZNrDIW41pnjY8vmUyOxZ9QXPbCoyK2nGhuIoMDuCB7rXOfuIlrnxUMFu8MdRe9wM8WZ5AbLzv7oArKJg+K748adlZntvNoc/Hst8bx8RKr9K6XnVa1T05UD6THvXjOZTtZu6Xdalj2wjAF03eY+L8rSQae0lgLy3sf2N+2J/sxjcTmzqPDJuLcUEPs31vFktCFhL8/UMw4CMIjuLtaTO56cBi9poRxKz5jirppall24TZqA9GiNUVEui0c3/+f69qpcP4qUFtnvN8yN5D2dROiKRj6VB6N0xgzqrdLNnclH5zf+Nt59OsqjOaxl0Hn/dsIRGfCIwAT461/Ee//4gP6JOZFJlAp521j3XDbjOICQ1g3Gc5DGrTrMDPt9sM1j1+BTb9XL9ookMC2H9siHCC1bsOUcvYQGZkdcLPEAYNaZnE9X8OJjAzmwGOHwEwV8zgYJmWNPi6L1lmAGt6fcGDUZW4baKT+xKWElOmJ10XV+Ut13NUMrbxSN5ABvR+GoA6CRG87m3BaD7F9lZHhgGbKc3TuX15hZdhwURocvNxMxVETNPk4xlf0u3POwj3HAAgLzSBVmnl8Npt2JLaHDnXabfRvV5ZflxWj3ucHwPwjDmYjIBo3nZ34QHne1Rvey3zF9SBvMl0WnaHteVs44ItzxLxlfJRwfzkrUtXu9W1NTLvLuY7m1Pr8HL6uL6EXX8dFyK8M30mN2dtZFbZcTzQtw0RQScvayuIFpWjud9bh1v5kuz4Zozq0YSX5u9mbJ41D6GSezvPe/9Lg9+e50o77C/XmR+HdWPkB0t4NLUvj2+djOflZLKu/ZCMPz7DazPomvMkE0Im03aX1T1hxJ96mWOg086L1516282udcrStU5Zth7I5LG8d3mrb5Pzen8iPhWY3zWanX7cgGuRi6VAIYJhGF2BlwA7MMk0zSdPOH4D8Azwz0j3V0zTnFSIdYqfctit/t9+TcrTo348wQHnllvZlSBcVIFOO9mu/OGVGXtPOr5yRzpX2DZiS+h1xuuUiwrmu3u6MPrj0ry+vDtdbIv49/4PKfWZNYhxR7WBJDdKxjRNerRqRFzNrjxROZo21Uvz2h9V6VizNPcnJ2Lk/2WoTkIEbZs3p/+C++hsSyGhTFnKd/0X30z6m122OErPHo934ZvYhs+BkFMP6pSS57f1+whKeQ2PLY9PPG0JNbJof+gPeti3sbf6AGJKVTju/BaVYnjA0+pIiDD2wZdov/kggydmUNo4wPAWN9I+cxf3LbiRlra/iK/bjoaV2/virYkUWHxkEO97OvKh53L+c1kEL3VqRZ7HpOtj+eup96yCKh14f/5q2h36mqF/WbviDOg3AM4zQABrOPLv3lo8ndeXu/s/CsAXI1uRkeumdtkI/vfbRvrOjmW041Nc5DKg23gARnWsxk3betB7fwVeNV4l7JOhtDGCyIqtR/9qjbnhx2Buc3zBYOePRJVvft71vTqg0ZGfMSJ+x5X/B58chQjiG2f9RGcYhh14FegEbAUWGYYxwzTNv0849SPTNG8vghqlmDjXAEF8wwiJhQyOhAh5Hi8Zy6YTuWk2kXuiKWUcxqza9qzXCXDYeLl/QzZ0qka/51yMcXyCFxv9vY/wybVDrdcyDMb3ONoufGW9slxZr+wpr/dQrzrQqw5ujxeH3YZpmjSssJvum/5DX/sc7k77GBa8Dpffd+HfBCkWvlywmvG2xRyq2ZfM8nezN9fDyGXL6N+sPB2bnTzHICjAzohe7Xjwu9sZ3b0hETYbyUlR3Na5HoFBjSEkhtsvD+Nt1wjqJJejQnSID96VyLmpUSaMUR2r0a9JOcpEWB1kLgdEx8WTvj+C8D0ryfN4WTbzDQY63wQg0x5OcGSFM122QCYNbU52bhOM/E6H+uUijxz7V4eqNKpQilU761M3MQJXvBVgV4kLZc7d7Vm8qQEvvLGNZ83XaWQDb51/M6ZddTrWLM3b8yuwuO4TdAqNO+/aFCCIX/tnV6rsg76tQ0qsgnyqawqsNU1zPYBhGFOBXhw351ZEiovA0CjcGXYc+csZXvt+JcN/HQFGLlcCWUYwQf9sgXcWhmFQKTaUUqXL0XrXBD4c1pC346vgDDj/yeb/dLcYhsGbg5NZvKky0/6oyZxVa2m74HVs9a+D6MqYpomRvh12r4AqHY6ud/V6yTu8B359mc3bd1D+8J84kwdbQ7yC/Hd4mkBu5iH+XvwzMb8+SkhkDL13phNk5BLUYhBDKiRZJ7WrfMZrDG6RhNn80eM+YNx++dHp9TGhLu7uUqMoyhcpEjabwZ0dT96BISkmhHX7Emi4ZyXbDmRR1bCaSa/KeYiBHZLpUwgfsttXP/OH/FZVYmhV5dTdY43KRzI2sAU57sk4DRNbo8GAFUScbqmCSInxTyeChiuKjxQkREgAthxzfytwqoXt1xiG0RZYDYwyTXPLiScYhjEcGA5Qvnz5c69WRIpcTLiLHbtica/6g3LtvWxemUKQkcsDeUMJJYu6rbtzRcC5/QX2kxEtsdmsnRsKU6mQADrWKk2pECd3Lb+eL3mAwEndyOg+kcc+msMztpex44UuT5Db5Bbef/1xhux5DideAI58nPzufrwp72Dr8SIkNoFj5j3sO5yD05NBeERUodYuhWvxpv3snNSPK+0LrQeyrB9Uu6KbU7pcwWexgP5CKSVDUnQIqe6yNNiTwoa9h6lk7GCFtzyptuo0qu/7LZUNw6D/ZfW4NfVDHu9ShjLhp+5SEymRAo9ZziDiA4XVX/4l8KFpmjmGYYwApgCXn3iSaZpvAG8AJCcna0ttkUtQTKiLFE9lrtrzI6veH0W//QvAgBUhTcgKLc/Iy1uc8zUjggs3PDhR4wpRjOvflVFTt/NS5iuEfjaA0UYIm7xxuBw24n+dwEwuo+Oud7DZvOwyI3nN3YuAoHBSIjoRsWMub+57HtuU7mSFJRHY6laMJjeB3cGtT73Oh/YHya7YgW2eSCoE5+LoNQGCIs9emBS5nQezKGU7xJSPpzHBvpA0M4SbcsfQ2LGO7oPuombVqmg6q8jJqsSFssibiJH9A7u2baSZsZ2yNZqxekA3X5d2xPC2lRne9szdQyIlkjoRxMcKEiJsA8odcz+RowMUATBNc98xdycBT194aSLiC1VLh/GXtyJX2edTff07eDBYGt+fqTdeh2kYOPOXE1xquteLJzrkVq6YlMg8150kGln8EjeAd7bF85b3WXp/2xKPzcb/qr1CVJ0OdAoKIDmpFIFOOxN/TmTMyoYEbJnPkLSvqTtrHGnz38QoW4/bWIfbtBG4YfbRzoXQGOj+vC/frgD7M3KZ9MwY7ne+zwQgxxWNMXIxT+U4CXU5iAsv2HayIiVRg3KRfGAmApC99BMq2nZhJp1b146I+Ig6EcTHDNM8c0OAYRgOrCUKHbDCg0XAANM0U485p6xpmjvyv74KGGea5hlH5iYnJ5spKSkXWL6IFDaP1+TrxatxrPgSL2BLTKZl85ZEBp//HIOL6fWf17HzuxcY6ZpJ2OCp1HlzLx3MBdzm/Iqyne8ittX1p33u7vRsJs/fwP55bzHS/gUJxl6chof5gZfxUPqVNLRvoIG5kn6Bv2Ebs0rdCD6y9UAmT33+G00y5tB73yTCjUwAPF2ewt7iFh9XJ+IfTNOk46PT+MFjDbp121w4xq6EYC3dErnkeT3wcBRc9n/Q/l5fVyPFmGEYi03TTD7x8bN2Ipim6TYM43bgW6wtHt8yTTPVMIyHgRTTNGcAdxiG0RNwA/uBGwq1ehG5aOw2g55NqkOT6r4u5bwMbVWRWZH/Jqvc08REBTPttjTW7alPQJkxxJYJP+Nz48IDubdbTZbVuY/vNtzC5t1pVA7NYUiHxnzmMch1e7nxiUn0d/8Ev/9XP7jPYPvBLD774nMG14CIpgOODra8AJm5bpbP/h+h62cxcs/f1LBtYYcrifHBo2kRl0e/ZkMLoXKRksEwDCpVKI97nQ2H4cVWr48CBBF/YbNDQJg6EcRnztqJUFTUiSAi/ug/M1JptGgM3R2LsA2ZAUmtfF3SJemGtxbw8qZehBlZZCW2JujGGdYvPecp1+3lvlen8MyBu448tqPOLZS5+gkwDA1DFDkPz89eTa+5Pals2wG3p0DMybs4iMgl6vlaUKkd9H7N15VIMXa6ToRLc3GziMgl6t9X1OS7SveyxRtN7vTbrZZCOY7Ha5K9cSFhRhbpZjBBW+fB2h9Oe/6e9Gz+fm8sni9HQW4GAG/P38D7387l0NLPWfj9J8xfvJQeeyeTZi/F/XlD8WJQtu1QDJtNAYLIeWqaFMWwvLH8etkHChBE/I0rHLLTfF2FlFCFtTuDiEiJEOCw8dC1zXn0qX68cHACbPgFKrc/r2tNX7qNgO0L6VozGlultoVc6QXYvx5cERASXaDTD2bm8t1vi+m5/SU8YQkciqlPsmcZ2OCRCu8wdtMInB+PZHdcK2oMeJqFexzEsZekuCgOOyJ5a8J4xrnftC4WkQBtx/K/r37gh4Cx2AyTpv+8kB08be+naeRA/o68jzpxsUXy9kVKitZVY3j37gGUiwr2dSkicq4Cw7WcQXxGIYKIyDmKDnXhqXYF6esmE7r0fWwFCBF+W7ePvV89RJeEHOxNhmJLbMyzH89mnutOa1ztqFSISCz64s8g1+1lyvRvGJY6BMPhxBjxCymHo6lfLvKMu3J8tmQbIT89SaBjDgAhwCiHQXZ0LQZ1asZj797FYzlPUmP7NA5Py2HCivq843yKnPAEJkb+HyPy3mOZow6H8gxaLHiDVRWH0NKWis0wmeTuxk2Ob1juTSK4YR8qt7qDng7XxfmGiJQAChBE/JQrHDL2+LoKKaG0nEFE5Dxc0TCJGe7meFd8SdrB/UcP5GZCXvZJ50//cR49Dkwh4K+p2N/uQvpLrRjl+OTIcc+sf5/0HI/XxOu9eHNrlmw+QOgfb2Iz8zDyMuGVZNZOGsqCibfiyT7M6WbobNmfSTv7Mr6ztaZrzpMA2A0TV6f7qV8ukpfuvZNlA5bwfF4fQtfN5B3nUzgML65DWxi7ZSQBTieR/d/gDfcV2DN2UWNSVR5zvkVOYAx7Woxnes9USt+9gMpXPQAKEERERNSJID6lTgQRkfPQrnocw+2XMcjzA84Xa+AZ8AE/Zlej6hc9iA/IZFdST9YdctCmQw/eWB9Nvy0P47bZGJc7nFq2TXRLW8A19lXsC4jnnYyWjFnxKaz7iezybZn+zUy6BPzFa6kOBmZPJbrFIMLa3ALOoFPW4s3JZP+SL3j7zwy68itlOo8mtmKdc35Pa3Ydoq5tM+vDGvPqviY8FzCR6xxzYA+seXwum8t2psONj4Ar7Ljn7d67lzLGAUq3u5y3VzbkgU038H83XkdI5RaANQW+dfV4bEOfYvy0mtyWOZG15fqwdv06rghdQ9wtM6gQWZ4Gl9n5YOEKmuctJNzuJqzJTdzbodY5vw8REZFizxUO2QoRxDe0O4OIyHnqN3E+H+284qznLfNWor5tPYe7TsBdrz8er8mgZz/iHfMBIhtdxaN5Axm2fCCx4cHc6xzH/fv+jzjj4HHX8CbfhK37cydde+GG/ex4Zwi9jF+Oezyv2/M4mw07/mR3LmTsPu2yifHT/mTcH50IbjaYyWG3snFNKleZs/ljl4dhue8BkFv/egKueuW45932zGReyxgNfd8lrWI3th3Iolb86bfTNE2TPLeXj1O2cHWjBIJdzpOOa1iiiIjIGcweb203ff/uQtlGWeRUTrc7gzoRRETO0/iedXjksycJMvJovOtT2tuXsbV8L16NvJvVi2bTx/4LicYe6tk3cqDW9ZRqNvjID/pp9w1k195uuOJKcXeeyUMrh/HcoceZwC1kOiN5Le4JKrg3MC+vGi32fkb3JVOg8yMQYK1fbvv0T/SpFcym7bt4kvlHanrRPpTr3Z8S/c1ocgPCCGjYF4DHZvxJnz9uoLp3HWb9ARg9Xwb78T8C9m1bS4iRDXE1uSm5ErSpBPSgeo6b2bNaEJzyGi2WvYe3QX9sFa2tLQ9l5xGWvgbsQHQVIoKcRAQdHwqcyDAMApx2BrVIOu1xEREROQNXOHhywZ192k5FkaKiEEFE5DzVjo+g9r9uJcftYfwnzQhKTKN5qw48YbOzpV1lYkLv5O8daYSXL3XSB+NAp50KZa3dBcLt0G/gzcz4ZCUdvfMJHvget5Wz9iTo5PZy20N76en9Dbb8DpUvJzvPQ97+Ldy+6A5shgkG3OZ8hM71KjDyih7c/GJLxqc9QMI390DNrhz0BrLr94+oHrCOFG81kpd9wO7UOUT2fpqAOj0AyPN4idi9wJqUk9j0uFpDXQ469RrEPekJJK0dRvT71/GfkPsZcuhNDnhcPG5LJSe8Aq6YakX/TRcREREIjLBucw4rRJCLToMVRUQukMth56n+zWjepjPY7IA18TwowE7jClEF+st604pR9LznbYL/bzWUO/ohPsBhI6dsM9zYYcNcAPZl5NLVvtAKEPK9Nm4EvXv0wmm3MXnUtTwWOBpX7gHc8yaweNMB2tj+JC8gkqUdPuTpvL7Eubdj+3wY7PwL0zTp//J3DOErsl0xULr2KWt8cmA7/u0eTqA7nSfT7qGmdw3V2IzHFoCr5/MndTaIiIhIEQkItW41XFF8QCGCiMglrn7lBJZ5K5O3dg4A+w7nkGjsJdt08qq7Jxvq3HHcrgV2m8GQPlfztacpnvmvMH3WLNrZl2Gr2JqbL6vCoLsncH+Vz9nrCebAe0N4eMZyuuydQnXbVjzt/n3atZU2m0F4zQ4s8lYjI7Yh7pGLWTVwEd7RK6FKx4vxrRARERE4OuQ455Bv65ASSSGCiMgl7prGifzqrYV91zI2bd/J2Mnf0Nc+h0PB5Qi94hESr3ropOe0rRbL/Aoj8Xi9vJx2B9HGIeyt7gAgPjKI+/u141XnUEodXsuDS9tws2Mmnnr9CWkx7KRrHevRqxsQftuPhIycgyO2Cq2qlSEwLKpI3reIiIichkIE8SH1noqIXOIqxoSwObwxtszpTHh9It8ZL4ABrmAXQ1omnfZ5D97Qg9/nvkt993Iia3eA+IZHjgU67QwbMYZVSxMIOrCSuDIJBLa89ay1RAQ7iQg+8+BEERERKWIKEcSHFCKIiPiBgKQW5KQ6eM544chjdlfwGZ/jcti5rH0XoMspjyfFhkLnmwqzTBEREbkYXPlbKece9m0dUiJpOYOIiB9oXj2BH7yNAFhU6kpG5I7Cfu1bPq5KREREfOJIJ4IGK8rFp04EERE/0KN+PGnlPsBMfY/GjYfSwBUOduXAIiIiJZKWM4gPKUQQEfETEVGx0GYUBmojExERKdGcQWDYFSKIT+j3UBEREREREX9iGFY3gkIE8QGFCCIiIiIiIv7GFa4QQXxCIYKIiIiIiIi/USeC+IhCBBEREREREX/jCtPuDOITChFERERERET8jToRxEcUIoiIiIiIiPgbhQjiIwoRRERERERE/I1CBPERhQgiIiIiIiL+RiGC+IhCBBEREREREX/jCoe8TPC4fV2JlDAKEURERERERPyNK8y6zVU3glxcChFERERERET8zT8hgpY0yEWmEEFERERERMTfHAkRDvu2DilxFCKIiIiIiIj4G1eodatOBLnIFCKIiIiIiIj4G1e4dasQQS4yhQgiIiIiIiL+5shyhnTf1iEljkIEERERERERf6PBiuIjChFERERERET8zalChKyD8MF1sPQ939QkJYLD1wWIiIiIiIjIOQo4xWDFtd/D6m+sf7E1IDHZN7VJsaZOBBEREREREX9js1tBwrEhwsZ5YNggOAa+/4/PSpPiTSGCiIiIiIiIP3KFHT9YcVsKVGoPbcbAxrlWqCBSyBQiiIiIiIiI+CNX2NFOBK8H9q6BuJqQPBRCS8OcJ31bnxRLChFERERERET80bGdCAc3gTsbYquDMwha3aVuBCkSChFERERERET8UUgcHN5tfb1ntXUbW8O6/acbYd6LvqlNii2FCCIiIiIiIv4oIgHStlhf71lp3cZUs26dQVCvL6yfc/zwRZELpBBBRERERETEH4UnQHYa5ByGPasgrCwERR49XrUzePMunSUNK2fCsqm+rkIukEIEERERERERfxSRaN2mb7M6EWKrH388vqF1u/vvi1vXqfw+Eab2h2kjrNBD/JZCBBEREREREX/0T4iwb60VFMTVPv64KwzC4q1dG3zF64E32sOsceAKtx7bNN939cgFU4ggIiIiIiLij+JqAQYsfNPamSGp1cnnxFSFvasvemlHrJoJ25dAvX4w6i+wOWHzb76rRy6YQgQRERERERF/FBQJpWvD+p/AsEH5FiefE1PN6kQwzYtfH8Da7yEwAnr/17qNrQE7//JNLVIoFCKIiIiIiIj4qxpXWrdVOkFw1MnHY6pCTvrRrSAvtm1LrNkMNrt1v0xd2LncN7VIoVCIICIiIiIi4q/a3gNXPAvdXzj18Ziq1q0vljTkZVuzGuIbHX2sTF04vBMO77n49UihUIggIiIiIiLir+wOaHozRCSc+nhMNevWFyHCrr/A64aEY0OEOvnH1I3grxQiiIiIiIiIFFdh8eAM8c0ODduWWLf/bDUJUDo/RNCSBr+lEEFERERERKS4stkgpgrs80GIsPlXCC0N4cd0SQRHQUQ5hQh+TCGCiIiIiIhIcRbtg20es9Nh1Syo2QMM4/hjpesoRPBjChFERERERESKs5hqcHAL5ByCQzth6kD4aBC4c4ruNRdNAncWNBh48rEyda3lFXlZsHsFpG0tujqk0Dl8XYCIiIiIiIgUofLNARPW/QQLXodN86zHU6dB/esK//VyDsGvE6xtJ48dqviP+AZgeuCF2pC5DzCg6XDo+qS1/EIuafovJCIiIiIiUpxVaAmBEfDx9VaA0GOCtcRh8TtF83p/fABZB6Dd/536eNXOVndE5j5IHgbJN8LC12HaCPC4i6YmKTTqRBARERERESnO7E648nmYPR5qdIdGg+HwbvjpUdi/HqIqnfs150+Auc9Cw+uh86PHzz1Y+h6UrQ+Jyaev54av4fAua2kDWFtU/vCwtQTi2ilgs597TXJRqBNBRERERESkuKvbB0b/DVc8bX3gbzgQnMEw827wes/tWpn74cdHrWULv70CK2YcPbb9D9j5JzQYdOZrhMYdDRAA2oyBLo/Dii+tjoTczHOrSS6aAoUIhmF0NQxjlWEYaw3DOKknxTAMl2EYH+UfX2AYRlJhFyoiIiIiIiKFJDweOj0Ma7+Hnx47t+f+8QF4cmD4z9ayiHkvgmlax5b8DxyBUO/ac6+pxUjoMB6WfwpvdYYDG8/9GlLkzhoiGIZhB14FugG1gP6GYdQ64bRhwAHTNKsALwBPFXahIiIiIiIiUoia3GR1DMx9zuogKAjTtGYpJDaFsvWg+S2wfQlsWQBZB2H5J1CrFwSVOr+a2oyBAR/Dwc3wWguY86S1i8OJcg5Bxt7zew25IAXpRGgKrDVNc71pmrnAVKDXCef0Aqbkf/0p0MEwTtwMVERERERERC4ZhgFdH7c+8P/yTMGes3Ee7FsDjW+w7tfvbz3/2/vgq1HWh/sWIy+srmqd4ZZ51gDGOU/Al3cePXZwC8z4FzxbDZ6pAl+MVJhwkRUkREgAthxzf2v+Y6c8xzRNN5AGRJ94IcMwhhuGkWIYRsqePXvOr2IREREREREpHIERkDwUVn4NadvOfv7it8EVAbWvsu4HhED7+2BbCqR+bn1dtv6F1xVZHvpOgTZj4c+PYP0cWPEVTGwFf34Cda6GJsNg2VQrTJjSEw7rM+bFcFF3ZzBN8w3gDYDk5GTzYr62iIiIiIiInEK966wlDSu/hmbDT3/evnXW4MPGqyW7DQAAB+VJREFUQyEg+OjjTW6C0rWtWQgJjQq3trZjIXUa/C+/GT6+IfR56+iOEk1uhqXvwsI3rYGMgz47fqcIKXQF6UTYBpQ75n5i/mOnPMcwDAcQAewrjAJFRERERESkCMVWg9gax++ycKIdy+Dd3uAMglZ3HH/MMKBCy8IPEMB6vSEzoOEguOz/4MZvj9+SMq4GdHnMGhK57gdY/W3h13Ahfn7aCjiKkYKECIuAqoZhVDQMIwC4Djjx/64ZwJD8r/sAP5qmqU4DERERERERf1CzB2yaf+olAet/hsmdweuBQdMgIvHi1haRCL1ehfb3gsN16nOaDIPoKvDd/acexOgLpmkFCFtTfF1JoTpriJA/4+B24FtgBfCxaZqphmE8bBhGz/zTJgPRhmGsBUYDJ20DKSIiIiIiIpeoOteA6YU/3j/+8Yx98PlwiKxgbemY2Ng39Z2N3QndnraGPs6829fVWA5ugozdUK6JryspVAWaiWCa5kxg5gmPjT/m62zgPDYCFREREREREZ+LqwkV28K8F6yuhOjK4PXCjNshaz8M+hRCY31d5ZlV6QCtR1nvofFQ3wceWxZat+Wa+baOQlaQ5QwiIiIiIiJS3PWYAIYN3r8WDm6GmWNg1Uxr3kCZur6urmBajwZnsDVs0de2LISAUIir5etKCpVCBBEREREREYGoitB/KhzeBS/WhZS3oNVd0OwWX1dWcIHhUONK+PsL8Lh9W8uWBZDQGGx239ZRyBQiiIiIiIiIiKV8M2v2Qdt7oN970PE//rdlYq1e1hKMjXN9V8PetbBzOSS18V0NRaRAMxFERERERESkhIipApff5+sqzl+VjuAMsboRKre/+K+fuR+mDbd2kmg85Ozn+xmFCCIiIiIiIlJ8OIOgejf46zO4/AEIiT73a+zfAIEREBxl3d+3DhyBEJFw8rlbFlrbOGanQV4mpE6Hwzvh2ikQGndh7+USpBBBREREREREipe2d8Pf0+GDvtDqDohvCBHlzr40Iy8Lpt8KqdOs0KD1KDiwEZZ9CPYAuPYda+YCgGnCzLGwaNLR59sDoEw9uGaStTSkGDJM0/TJCycnJ5spKSk+eW0REREREREp5lKnw1d3QdYB635keWhyM9TqCZEVTg4UTBOmjYA/P4Y2o2FXKqyeBTaHNVxy/c9Wh8HtKbB/Hcx9HlZ+Bc1HWucHRYGt+IwdNAxjsWmaySc9rhBBREREREREiiV3Duz6C7YvtUKFf4YtBkZYHQNl60NMVYhIhI3zYN4L0P5+uOxuK1TYvQJCYqxlCdv/gDfbgyMI8jKsuQttRkGbsf43fLIAFCKIiIiIiIhIybZ7JWz+DXYss/7tSgVPztHj9a6D3v89fUfB4imw9F2o2QOSbwRX2MWp2wdOFyJoJoKIiIiIiIiUDHE1rH//8Ljh0A5I2wJ2FyQ0OnNXQeMhxXLHhXOhEEFERERERERKJrsDIstZ/6RAis/UBxEREREREREpUgoRRERERERERKRAFCKIiIiIiIiISIEoRBARERERERGRAlGIICIiIiIiIiIFohBBRERERERERApEIYKIiIiIiIiIFIhCBBEREREREREpEIUIIiIiIiIiIlIgChFEREREREREpEAUIoiIiIiIiIhIgShEEBEREREREZECUYggIiIiIiIiIgWiEEFERERERERECkQhgoiIiIiIiIgUiEIEERERERERESkQhQgiIiIiIiIiUiAKEURERERERESkQBQiiIiIiIiIiEiBKEQQERERERERkQIxTNP0zQsbxh5gk09e/MJUBA4BYcc8diH3C/NahX3/UqpFtak21abaimttl1Itqk21qTbVptpKdi2qrehq24v/qWCaZuyJDzp8UQnAqYrxB4ZhZAAbgGPrv5D7hXmtwr5/KdWi2lSbalNtxbW2S6kW1abaVJtqU20luxbVVkS1maaZTDGh5QwiIiIiIiIiUiAKEURERERERESkQHy2nMGPfQ7MBdoc89iF3C/MaxX2/UupFtWm2lSbaiuutV1Ktag21abaVJtqK9m1qLaiq63Y8NlgRRERERERERHxL1rOICIiIiIiIiIF4vfLGQzDaArMBsJ9XYuIiIiIiIiIj2QA8aZpphfli/j9cgbDMOoD3YB0wAu8fMxhvw9JREREREREpMTwAiZgP8M5aUAYYAAHgVlYf1RvBkw0TfOBoizQ70OEExmGsQMIAUKxvqlm/q2IiIiIiIjIpcwD5AGBpzluAnuAWKzPubnAp0BXYAmQYJpmraIssFjNRDAMozXWNzOYo8GBAgQRERERERHxB3ZOHyCA9fk2mqOfcwOA/lidCL8D5Yq0OopRJ4JhGKWB9VjfxANYYYKIiIiIiIiIvztdh30qkIT1h/QNQKRpmtFFWUix6EQwDCMI65vnwAoQgo857PVJUSIiIiIiIiKF43Qd9i2ALKwlEKWBdUVdiN+HCIZhGMBfWIMlMrA6EZxYSU3xaLMQERERERGRksI84fbEr935t15gLJCZfzwHmFjUxfn9cgbDMG4FXvN1HSIiIiIiIiI+kge8D9xoFvGHfL8PEURERERERETk4vD75QwiIiIiIiIicnEoRBARERERERGRAlGIICIiIiIiIiIFohBBRERERERERApEIYKIiIiIiIiIFIhCBBEREREREREpEIUIIiIiIiIiIlIgChFEREREREREpED+H7j9Cr3dB5EVAAAAAElFTkSuQmCC\n","text/plain":["<Figure size 1296x648 with 1 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"tAJfjmGI6H8c","executionInfo":{"status":"ok","timestamp":1618468834608,"user_tz":-540,"elapsed":232068,"user":{"displayName":"장유진","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GisNnu-OVl9PwsFlIOaVRNqVzdlpVXh9wjtIPobug=s64","userId":"18109271255176588241"}}},"source":["# https://post.naver.com/viewer/postView.nhn?volumeNo=29132930&memberNo=18071586"],"execution_count":227,"outputs":[]},{"cell_type":"code","metadata":{"id":"W2Jsxc58PwJl"},"source":[""],"execution_count":null,"outputs":[]}]}