{"cells":[{"cell_type":"markdown","metadata":{"id":"D6yIHHU2p-EF"},"source":["# 01.01 - PROYECTO KAGGLE"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"b6oefQ2Ap-EL","executionInfo":{"status":"ok","timestamp":1724112699498,"user_tz":300,"elapsed":7990,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"c2ece32b-70d5-420e-c381-0b2395f7503d","colab":{"base_uri":"https://localhost:8080/","height":75}},"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","<meta name=\"google-signin-client_id\"\n","      content=\"461673936472-kdjosv61up3ac1ajeuq6qqu72upilmls.apps.googleusercontent.com\"/>\n","<script src=\"https://apis.google.com/js/client:platform.js?onload=google_button_start\"></script>\n","    "]},"metadata":{}},{"output_type":"stream","name":"stdout","text":["replicating local resources\n"]},{"output_type":"execute_result","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["<h3>See <a href='https://m5knaekxo6.execute-api.us-west-2.amazonaws.com/dev-v0001/rlxmooc/web/login' target='_blank'>my courses and progress</a></h2>"]},"metadata":{},"execution_count":4}],"source":["!wget --no-cache -O init.py -q https://raw.githubusercontent.com/rramosp/ai4eng.v1/main/content/init.py\n","import init; init.init(force_download=False); init.get_weblink()"]},{"cell_type":"markdown","source":["## download data directly from Kaggle\n","\n","- create a file `kaggle.json` with your authentication token (in kaggle $\\to$ click user icon on top-right $\\to$ settings $\\to$ API create new token)\n","- upload it to this notebook workspace\n","- run the following cell"],"metadata":{"id":"CdkWz0856v-Z"}},{"cell_type":"code","source":["import os\n","os.environ['KAGGLE_CONFIG_DIR'] = '.'\n","!chmod 600 ./kaggle.json\n","!kaggle competitions download -c udea-ai4eng-20242"],"metadata":{"id":"HJ8jqq-FqPUB","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1724112689124,"user_tz":300,"elapsed":2215,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"9746ad86-dcec-4535-9714-5fb4784ff6c4"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading udea-ai4eng-20242.zip to /content\n"," 25% 5.00M/20.1M [00:00<00:00, 27.1MB/s]\n","100% 20.1M/20.1M [00:00<00:00, 78.1MB/s]\n"]}]},{"cell_type":"markdown","source":["## unzip and inspect data"],"metadata":{"id":"_DFu9Pgx7n4V"}},{"cell_type":"code","source":["!unzip udea*.zip > /dev/null"],"metadata":{"id":"WE2IYDHKqPYv","executionInfo":{"status":"ok","timestamp":1724112773942,"user_tz":300,"elapsed":1657,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}}},"execution_count":6,"outputs":[]},{"cell_type":"code","source":["!wc *.csv"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3QtFhJ2S7sBC","executionInfo":{"status":"ok","timestamp":1724112778132,"user_tz":300,"elapsed":2615,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"598b89eb-18d2-4651-a3f4-ecca5454446a"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stdout","text":["   296787    296787   4716673 submission_example.csv\n","   296787   4565553  50135751 test.csv\n","   692501  10666231 118025055 train.csv\n","  1286075  15528571 172877479 total\n"]}]},{"cell_type":"markdown","source":["## load `train.csv` data with pandas\n","\n"],"metadata":{"id":"vQacFVFN8Lok"}},{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n","\n","z = pd.read_csv(\"train.csv\")\n","print (\"shape of loaded dataframe\", z.shape)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"9bitCKLB74cC","executionInfo":{"status":"ok","timestamp":1724112783896,"user_tz":300,"elapsed":2747,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"bb6ee1d6-6f38-419c-f13d-ef053d1ce087"},"execution_count":8,"outputs":[{"output_type":"stream","name":"stdout","text":["shape of loaded dataframe (692500, 12)\n"]}]},{"cell_type":"code","source":["z.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":313},"id":"43IJ0U_J74gs","executionInfo":{"status":"ok","timestamp":1724112784185,"user_tz":300,"elapsed":3,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"9be434a9-14f7-43d4-ee34-831050dd3f1b"},"execution_count":9,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       ID  PERIODO         ESTU_PRGM_ACADEMICO ESTU_PRGM_DEPARTAMENTO  \\\n","0  904256    20212                  ENFERMERIA                 BOGOTÁ   \n","1  645256    20212                     DERECHO              ATLANTICO   \n","2  308367    20203       MERCADEO Y PUBLICIDAD                 BOGOTÁ   \n","3  470353    20195  ADMINISTRACION DE EMPRESAS              SANTANDER   \n","4  989032    20212                  PSICOLOGIA              ANTIOQUIA   \n","\n","             ESTU_VALORMATRICULAUNIVERSIDAD ESTU_HORASSEMANATRABAJA  \\\n","0  Entre 5.5 millones y menos de 7 millones       Menos de 10 horas   \n","1  Entre 2.5 millones y menos de 4 millones                       0   \n","2  Entre 2.5 millones y menos de 4 millones         Más de 30 horas   \n","3  Entre 4 millones y menos de 5.5 millones                       0   \n","4  Entre 2.5 millones y menos de 4 millones     Entre 21 y 30 horas   \n","\n","  FAMI_ESTRATOVIVIENDA FAMI_TIENEINTERNET                 FAMI_EDUCACIONPADRE  \\\n","0            Estrato 3                 Si    Técnica o tecnológica incompleta   \n","1            Estrato 3                 No      Técnica o tecnológica completa   \n","2            Estrato 3                 Si  Secundaria (Bachillerato) completa   \n","3            Estrato 4                 Si                             No sabe   \n","4            Estrato 3                 Si                   Primaria completa   \n","\n","                  FAMI_EDUCACIONMADRE ESTU_PAGOMATRICULAPROPIO  \\\n","0                           Postgrado                       No   \n","1    Técnica o tecnológica incompleta                       No   \n","2  Secundaria (Bachillerato) completa                       No   \n","3  Secundaria (Bachillerato) completa                       No   \n","4                   Primaria completa                       No   \n","\n","  RENDIMIENTO_GLOBAL  \n","0         medio-alto  \n","1               bajo  \n","2               bajo  \n","3               alto  \n","4         medio-bajo  "],"text/html":["\n","  <div id=\"df-9d1b777e-2e39-408c-b95a-1aaf3d0f349b\" class=\"colab-df-container\">\n","    <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>ID</th>\n","      <th>PERIODO</th>\n","      <th>ESTU_PRGM_ACADEMICO</th>\n","      <th>ESTU_PRGM_DEPARTAMENTO</th>\n","      <th>ESTU_VALORMATRICULAUNIVERSIDAD</th>\n","      <th>ESTU_HORASSEMANATRABAJA</th>\n","      <th>FAMI_ESTRATOVIVIENDA</th>\n","      <th>FAMI_TIENEINTERNET</th>\n","      <th>FAMI_EDUCACIONPADRE</th>\n","      <th>FAMI_EDUCACIONMADRE</th>\n","      <th>ESTU_PAGOMATRICULAPROPIO</th>\n","      <th>RENDIMIENTO_GLOBAL</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>904256</td>\n","      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millones</td>\n","      <td>Más de 30 horas</td>\n","      <td>Estrato 3</td>\n","      <td>Si</td>\n","      <td>Secundaria (Bachillerato) completa</td>\n","      <td>Secundaria (Bachillerato) completa</td>\n","      <td>No</td>\n","      <td>bajo</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>470353</td>\n","      <td>20195</td>\n","      <td>ADMINISTRACION DE EMPRESAS</td>\n","      <td>SANTANDER</td>\n","      <td>Entre 4 millones y menos de 5.5 millones</td>\n","      <td>0</td>\n","      <td>Estrato 4</td>\n","      <td>Si</td>\n","      <td>No sabe</td>\n","      <td>Secundaria (Bachillerato) completa</td>\n","      <td>No</td>\n","      <td>alto</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>989032</td>\n","      <td>20212</td>\n","      <td>PSICOLOGIA</td>\n","      <td>ANTIOQUIA</td>\n","      <td>Entre 2.5 millones y menos de 4 millones</td>\n","      <td>Entre 21 y 30 horas</td>\n","      <td>Estrato 3</td>\n","      <td>Si</td>\n","  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POLLAN","userId":"04254654220415345259"}},"outputId":"eeb9aee3-f5c5-4ef8-a108-d2ca10c2b195"},"execution_count":10,"outputs":[{"output_type":"execute_result","data":{"text/plain":["                  FAMI_EDUCACIONMADRE  \\\n","0                           Postgrado   \n","1    Técnica o tecnológica incompleta   \n","2  Secundaria (Bachillerato) completa   \n","3  Secundaria (Bachillerato) completa   \n","4                   Primaria completa   \n","\n","             ESTU_VALORMATRICULAUNIVERSIDAD RENDIMIENTO_GLOBAL  \n","0  Entre 5.5 millones y menos de 7 millones         medio-alto  \n","1  Entre 2.5 millones y menos de 4 millones               bajo  \n","2  Entre 2.5 millones y menos de 4 millones               bajo  \n","3  Entre 4 millones y menos de 5.5 millones               alto  \n","4  Entre 2.5 millones y menos de 4 millones         medio-bajo  "],"text/html":["\n","  <div id=\"df-ab50670a-50f9-4b5d-8407-83f568e472e9\" class=\"colab-df-container\">\n","    <div>\n","<style 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0abRs2RItW7bE2bNnPyoLERERGS6NEEL8139Yo8Gff/6Jli1bAsi+AuPi4oJBgwZh8ODBAIDk5GQ4OTlh6dKlaN++PS5cuABvb29ER0ejWrVqAIDIyEg0btwYd+7cgYuLC+bPn4+RI0ciMTERJiYmAIDhw4dj48aNuHjxIgCgXbt2SEtLw9atW6U8tWrVgp+fHyIiIj4oy/ukpKTA1tYWycnJsLGxee949+HbPvyb9wFuTmqSp89HRERkCD7m/TtP5wjduHEDiYmJCAwMlI7Z2tqiZs2aOHr0KADg6NGjsLOzk4ogAAgMDISRkRGOHz8ujalTp45UBAFAUFAQLl26hMePH0tjXv88OWNyPs+HZHnTixcvkJKSovUgIiKigitPC6HExEQAgJOTk9ZxJycn6VxiYiIcHR21zhsbG6NIkSJaY3J7jtc/x9vGvH7+fVneNHHiRNja2koPV1fXD/iqiYiISK2M5Q6gJCNGjMDAgQOlj1NSUgpcMZTXt+8A3sIjIiL1ytMrQs7OzgCABw8eaB1/8OCBdM7Z2RkPHz7UOp+RkYGkpCStMbk9x+uf421jXj//vixvMjU1hY2NjdaDiIiICq48LYQ8PDzg7OyMqKgo6VhKSgqOHz+OgIAAAEBAQACePHmCmJgYacyePXuQlZWFmjVrSmMOHDiA9PR0acyuXbvg5eUFe3t7aczrnydnTM7n+ZAsREREZNg+uhBKTU1FbGwsYmNjAWRPSo6NjUVCQgI0Gg0GDBiACRMmYPPmzThz5gw6d+4MFxcXaWVZhQoV0LBhQ/Ts2RMnTpzA4cOHERISgvbt28PFxQUA0LFjR5iYmKB79+44d+4cVq9ejVmzZmndturfvz8iIyMxbdo0XLx4EWPGjMHJkycREhICAB+UhYiIiAzbR88ROnnyJOrWrSt9nFOcdOnSBUuXLsXQoUORlpaGXr164cmTJ/j0008RGRkJMzMz6c+sWLECISEhqF+/PoyMjNCmTRvMnj1bOm9ra4udO3eiT58+qFq1KooWLYqwsDCtvYY++eQTrFy5EqNGjcL3338PT09PbNy4ET4+PtKYD8lCREREhut/2keooCuI+whxsjQRERV0su0jRERERKQmLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig2UsdwCiN7kP35bnz3lzUpM8f04iIlI/XhEiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFnaWJ/kt5vQM2d78mIsp/vCJEREREBouFEBERERksFkJERERksFgIERERkcFiIUREREQGi4UQERERGSwWQkRERGSwWAgRERGRwcrzQigzMxOjR4+Gh4cHzM3NUaZMGYwfPx5CCGmMEAJhYWEoXrw4zM3NERgYiCtXrmg9T1JSEoKDg2FjYwM7Ozt0794dqampWmPi4+Px2WefwczMDK6urpgyZYpOnrVr16J8+fIwMzODr68vtm/fntdfMhEREalUnhdCkydPxvz58zF37lxcuHABkydPxpQpUzBnzhxpzJQpUzB79mxERETg+PHjsLS0RFBQEJ4/fy6NCQ4Oxrlz57Br1y5s3boVBw4cQK9evaTzKSkpaNCgAdzc3BATE4OpU6dizJgxWLBggTTmyJEj6NChA7p3747Tp0+jZcuWaNmyJc6ePZvXXzYRERGpUJ632Dhy5AhatGiBJk2y2wW4u7vjjz/+wIkTJwBkXw2aOXMmRo0ahRYtWgAAli9fDicnJ2zcuBHt27fHhQsXEBkZiejoaFSrVg0AMGfOHDRu3Bg//fQTXFxcsGLFCrx8+RKLFy+GiYkJKlasiNjYWEyfPl0qmGbNmoWGDRtiyJAhAIDx48dj165dmDt3LiIiIvL6SydSnLxuAwKwFQgRFSx5fkXok08+QVRUFC5fvgwAiIuLw6FDh9CoUSMAwI0bN5CYmIjAwEDpz9ja2qJmzZo4evQoAODo0aOws7OTiiAACAwMhJGREY4fPy6NqVOnDkxMTKQxQUFBuHTpEh4/fiyNef3z5IzJ+TxERERk2PL8itDw4cORkpKC8uXLo1ChQsjMzMQPP/yA4OBgAEBiYiIAwMnJSevPOTk5SecSExPh6OioHdTYGEWKFNEa4+HhofMcOefs7e2RmJj4zs/zphcvXuDFixfSxykpKR/1tRMREZG65PkVoTVr1mDFihVYuXIlTp06hWXLluGnn37CsmXL8vpT5bmJEyfC1tZWeri6usodiYiIiPQozwuhIUOGYPjw4Wjfvj18fX3x9ddfIzQ0FBMnTgQAODs7AwAePHig9ecePHggnXN2dsbDhw+1zmdkZCApKUlrTG7P8frneNuYnPNvGjFiBJKTk6XH7du3P/rrJyIiIvXI80Lo6dOnMDLSftpChQohKysLAODh4QFnZ2dERUVJ51NSUnD8+HEEBAQAAAICAvDkyRPExMRIY/bs2YOsrCzUrFlTGnPgwAGkp6dLY3bt2gUvLy/Y29tLY17/PDljcj7Pm0xNTWFjY6P1ICIiooIrzwuhZs2a4YcffsC2bdtw8+ZN/Pnnn5g+fTpatWoFANBoNBgwYAAmTJiAzZs348yZM+jcuTNcXFzQsmVLAECFChXQsGFD9OzZEydOnMDhw4cREhKC9u3bw8XFBQDQsWNHmJiYoHv37jh37hxWr16NWbNmYeDAgVKW/v37IzIyEtOmTcPFixcxZswYnDx5EiEhIXn9ZRMREZEK5flk6Tlz5mD06NH47rvv8PDhQ7i4uODbb79FWFiYNGbo0KFIS0tDr1698OTJE3z66aeIjIyEmZmZNGbFihUICQlB/fr1YWRkhDZt2mD27NnSeVtbW+zcuRN9+vRB1apVUbRoUYSFhWntNfTJJ59g5cqVGDVqFL7//nt4enpi48aN8PHxyesvm4iIiFRII17f8pm0pKSkwNbWFsnJyR90myyv92zRx34tathXRg0ZAf68iYiU6mPev9lrjIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGDppRC6e/cuOnXqBAcHB5ibm8PX1xcnT56UzgshEBYWhuLFi8Pc3ByBgYG4cuWK1nMkJSUhODgYNjY2sLOzQ/fu3ZGamqo1Jj4+Hp999hnMzMzg6uqKKVOm6GRZu3YtypcvDzMzM/j6+mL79u36+JKJiIhIhfK8EHr8+DFq166NwoUL46+//sL58+cxbdo02NvbS2OmTJmC2bNnIyIiAsePH4elpSWCgoLw/PlzaUxwcDDOnTuHXbt2YevWrThw4AB69eolnU9JSUGDBg3g5uaGmJgYTJ06FWPGjMGCBQukMUeOHEGHDh3QvXt3nD59Gi1btkTLli1x9uzZvP6yiYiISIWM8/oJJ0+eDFdXVyxZskQ65uHhIf2/EAIzZ87EqFGj0KJFCwDA8uXL4eTkhI0bN6J9+/a4cOECIiMjER0djWrVqgEA5syZg8aNG+Onn36Ci4sLVqxYgZcvX2Lx4sUwMTFBxYoVERsbi+nTp0sF06xZs9CwYUMMGTIEADB+/Hjs2rULc+fORURERF5/6URERKQyeX5FaPPmzahWrRratm0LR0dH+Pv749dff5XO37hxA4mJiQgMDJSO2draombNmjh69CgA4OjRo7Czs5OKIAAIDAyEkZERjh8/Lo2pU6cOTExMpDFBQUG4dOkSHj9+LI15/fPkjMn5PG968eIFUlJStB5ERERUcOV5IXT9+nXMnz8fnp6e2LFjB/7zn/+gX79+WLZsGQAgMTERAODk5KT155ycnKRziYmJcHR01DpvbGyMIkWKaI3J7Tle/xxvG5Nz/k0TJ06Era2t9HB1df3or5+IiIjUI88LoaysLFSpUgU//vgj/P390atXL/Ts2VMVt6JGjBiB5ORk6XH79m25IxEREZEe5XkhVLx4cXh7e2sdq1ChAhISEgAAzs7OAIAHDx5ojXnw4IF0ztnZGQ8fPtQ6n5GRgaSkJK0xuT3H65/jbWNyzr/J1NQUNjY2Wg8iIiIquPK8EKpduzYuXbqkdezy5ctwc3MDkD1x2tnZGVFRUdL5lJQUHD9+HAEBAQCAgIAAPHnyBDExMdKYPXv2ICsrCzVr1pTGHDhwAOnp6dKYXbt2wcvLS1qhFhAQoPV5csbkfB4iIiIybHleCIWGhuLYsWP48ccfcfXqVaxcuRILFixAnz59AAAajQYDBgzAhAkTsHnzZpw5cwadO3eGi4sLWrZsCSD7ClLDhg3Rs2dPnDhxAocPH0ZISAjat28PFxcXAEDHjh1hYmKC7t2749y5c1i9ejVmzZqFgQMHSln69++PyMhITJs2DRcvXsSYMWNw8uRJhISE5PWXTURERCqU58vnq1evjj///BMjRozAuHHj4OHhgZkzZyI4OFgaM3ToUKSlpaFXr1548uQJPv30U0RGRsLMzEwas2LFCoSEhKB+/fowMjJCmzZtMHv2bOm8ra0tdu7ciT59+qBq1aooWrQowsLCtPYa+uSTT7By5UqMGjUK33//PTw9PbFx40b4+Pjk9ZdNREREKpTnhRAANG3aFE2bNn3reY1Gg3HjxmHcuHFvHVOkSBGsXLnynZ+nUqVKOHjw4DvHtG3bFm3btn13YCIiIjJI7DVGREREBouFEBERERksFkJERERksPQyR4iI6EO5D9+W5895c1KTPH9OIiqYeEWIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGAZyx2AiEgN3Idvy9PnuzmpSZ4+HxH9d3hFiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhg6b0QmjRpEjQaDQYMGCAde/78Ofr06QMHBwdYWVmhTZs2ePDggdafS0hIQJMmTWBhYQFHR0cMGTIEGRkZWmP27duHKlWqwNTUFGXLlsXSpUt1Pv+8efPg7u4OMzMz1KxZEydOnNDHl0lEREQqpNdCKDo6Gr/88gsqVaqkdTw0NBRbtmzB2rVrsX//fty7dw+tW7eWzmdmZqJJkyZ4+fIljhw5gmXLlmHp0qUICwuTxty4cQNNmjRB3bp1ERsbiwEDBqBHjx7YsWOHNGb16tUYOHAgwsPDcerUKVSuXBlBQUF4+PChPr9sIiIiUgm9FUKpqakIDg7Gr7/+Cnt7e+l4cnIyFi1ahOnTp6NevXqoWrUqlixZgiNHjuDYsWMAgJ07d+L8+fP4/fff4efnh0aNGmH8+PGYN28eXr58CQCIiIiAh4cHpk2bhgoVKiAkJARffvklZsyYIX2u6dOno2fPnujatSu8vb0REREBCwsLLF68WF9fNhEREamI3gqhPn36oEmTJggMDNQ6HhMTg/T0dK3j5cuXR6lSpXD06FEAwNGjR+Hr6wsnJydpTFBQEFJSUnDu3DlpzJvPHRQUJD3Hy5cvERMTozXGyMgIgYGB0pg3vXjxAikpKVoPIiIiKriM9fGkq1atwqlTpxAdHa1zLjExESYmJrCzs9M67uTkhMTERGnM60VQzvmcc+8ak5KSgmfPnuHx48fIzMzMdczFixdzzT1x4kSMHTv2w79QIiIiUrU8vyJ0+/Zt9O/fHytWrICZmVleP71ejRgxAsnJydLj9u3bckciIiIiPcrzQigmJgYPHz5ElSpVYGxsDGNjY+zfvx+zZ8+GsbExnJyc8PLlSzx58kTrzz148ADOzs4AAGdnZ51VZDkfv2+MjY0NzM3NUbRoURQqVCjXMTnP8SZTU1PY2NhoPYiIiKjgyvNCqH79+jhz5gxiY2OlR7Vq1RAcHCz9f+HChREVFSX9mUuXLiEhIQEBAQEAgICAAJw5c0ZrddeuXbtgY2MDb29vaczrz5EzJuc5TExMULVqVa0xWVlZiIqKksYQERGRYcvzOULW1tbw8fHROmZpaQkHBwfpePfu3TFw4EAUKVIENjY26Nu3LwICAlCrVi0AQIMGDeDt7Y2vv/4aU6ZMQWJiIkaNGoU+ffrA1NQUANC7d2/MnTsXQ4cORbdu3bBnzx6sWbMG27Ztkz7vwIED0aVLF1SrVg01atTAzJkzkZaWhq5du+b1l01EREQqpJfJ0u8zY8YMGBkZoU2bNnjx4gWCgoLw888/S+cLFSqErVu34j//+Q8CAgJgaWmJLl26YNy4cdIYDw8PbNu2DaGhoZg1axZKliyJhQsXIigoSBrTrl07/P333wgLC0NiYiL8/PwQGRmpM4GaiIiIDFO+FEL79u3T+tjMzAzz5s3DvHnz3vpn3NzcsH379nc+7xdffIHTp0+/c0xISAhCQkI+OCsREREZDvYaIyIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYBnLHYCIiPKG+/Btef6cNyc1yfPnJFISXhEiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMljsNUZERPmG/dBIaXhFiIiIiAxWnhdCEydORPXq1WFtbQ1HR0e0bNkSly5d0hrz/Plz9OnTBw4ODrCyskKbNm3w4MEDrTEJCQlo0qQJLCws4OjoiCFDhiAjI0NrzL59+1ClShWYmpqibNmyWLp0qU6eefPmwd3dHWZmZqhZsyZOnDiR118yERERqVSeF0L79+9Hnz59cOzYMezatQvp6elo0KAB0tLSpDGhoaHYsmUL1q5di/379+PevXto3bq1dD4zMxNNmjTBy5cvceTIESxbtgxLly5FWFiYNObGjRto0qQJ6tati9jYWAwYMAA9evTAjh07pDGrV6/GwIEDER4ejlOnTqFy5coICgrCw4cP8/rLJiIiIhXK8zlCkZGRWh8vXboUjo6OiImJQZ06dZCcnIxFixZh5cqVqFevHgBgyZIlqFChAo4dO4ZatWph586dOH/+PHbv3g0nJyf4+flh/PjxGDZsGMaMGQMTExNERETAw8MD06ZNAwBUqFABhw4dwowZMxAUFAQAmD59Onr27ImuXbsCACIiIrBt2zYsXrwYw4cPz+svnYiIiFRG73OEkpOTAQBFihQBAMTExCA9PR2BgYHSmPLly6NUqVI4evQoAODo0aPw9fWFk5OTNCYoKAgpKSk4d+6cNOb158gZk/McL1++RExMjNYYIyMjBAYGSmOIiIjIsOl11VhWVhYGDBiA2rVrw8fHBwCQmJgIExMT2NnZaY11cnJCYmKiNOb1IijnfM65d41JSUnBs2fP8PjxY2RmZuY65uLFi7nmffHiBV68eCF9nJKS8pFfMREREamJXq8I9enTB2fPnsWqVav0+WnyzMSJE2Frays9XF1d5Y5EREREeqS3QigkJARbt27F3r17UbJkSem4s7MzXr58iSdPnmiNf/DgAZydnaUxb64iy/n4fWNsbGxgbm6OokWLolChQrmOyXmON40YMQLJycnS4/bt2x//hRMREZFq5HkhJIRASEgI/vzzT+zZswceHh5a56tWrYrChQsjKipKOnbp0iUkJCQgICAAABAQEIAzZ85ore7atWsXbGxs4O3tLY15/TlyxuQ8h4mJCapWrao1JisrC1FRUdKYN5mamsLGxkbrQURERAVXns8R6tOnD1auXIlNmzbB2tpamtNja2sLc3Nz2Nraonv37hg4cCCKFCkCGxsb9O3bFwEBAahVqxYAoEGDBvD29sbXX3+NKVOmIDExEaNGjUKfPn1gamoKAOjduzfmzp2LoUOHolu3btizZw/WrFmDbdte7Vo6cOBAdOnSBdWqVUONGjUwc+ZMpKWlSavIiIiIyLDleSE0f/58AMAXX3yhdXzJkiX45ptvAAAzZsyAkZER2rRpgxcvXiAoKAg///yzNLZQoULYunUr/vOf/yAgIACWlpbo0qULxo0bJ43x8PDAtm3bEBoailmzZqFkyZJYuHChtHQeANq1a4e///4bYWFhSExMhJ+fHyIjI3UmUBMREZFhyvNCSAjx3jFmZmaYN28e5s2b99Yxbm5u2L59+zuf54svvsDp06ffOSYkJAQhISHvzURERESGh73GiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMll67zxMREamR+/Bt7x/0EW5OapKnz0d5h1eEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgshIiIiMhgsRAiIiIig8VCiIiIiAwWCyEiIiIyWCyEiIiIyGCxECIiIiKDxUKIiIiIDBYLISIiIjJYxnIHICIioo/nPnxbnj/nzUlN8vw5lY5XhIiIiMhg8YoQERER6YUarloZxBWhefPmwd3dHWZmZqhZsyZOnDghdyQiIiJSgAJfCK1evRoDBw5EeHg4Tp06hcqVKyMoKAgPHz6UOxoRERHJrMAXQtOnT0fPnj3RtWtXeHt7IyIiAhYWFli8eLHc0YiIiEhmBXqO0MuXLxETE4MRI0ZIx4yMjBAYGIijR4/qjH/x4gVevHghfZycnAwASElJ+aDPl/Xi6f+YWNuHft6PkdcZgbzPqYaMAH/eeUUNGQH+vPOKGjIC/HnnFbky5owRQrz/CUUBdvfuXQFAHDlyROv4kCFDRI0aNXTGh4eHCwB88MEHH3zwwUcBeNy+ffu9tUKBviL0sUaMGIGBAwdKH2dlZSEpKQkODg7QaDR58jlSUlLg6uqK27dvw8bGJk+eM6+pISOgjpzMmHfUkJMZ844acjJj3snrnEII/Pvvv3BxcXnv2AJdCBUtWhSFChXCgwcPtI4/ePAAzs7OOuNNTU1hamqqdczOzk4v2WxsbBT9lxJQR0ZAHTmZMe+oIScz5h015GTGvJOXOW1tbT9oXIGeLG1iYoKqVasiKipKOpaVlYWoqCgEBATImIyIiIiUoEBfEQKAgQMHokuXLqhWrRpq1KiBmTNnIi0tDV27dpU7GhEREcmswBdC7dq1w99//42wsDAkJibCz88PkZGRcHJykiWPqakpwsPDdW7BKYkaMgLqyMmMeUcNOZkx76ghJzPmHTlzaoT4kLVlRERERAVPgZ4jRERERPQuLISIiIjIYLEQIiIiIoPFQoiIiIgMFgshIiIiMlgFfvm8Ety5cwebN29GQkICXr58qXVu+vTpMqXStm7dOqxZsybXjKdOnZIpla6TJ0++NeeGDRtkSqVOT58+zfX7WKlSJZkS5U4tOdXg/PnzuX4vmzdvLlMibWp4rVSDa9euYcmSJbh27RpmzZoFR0dH/PXXXyhVqhQqVqwodzwtivg7mTftTeltdu/eLSwsLISPj48wNjYWfn5+ws7OTtja2oq6devKHU8IIcSsWbOElZWVCAkJESYmJuLbb78VgYGBwtbWVnz//fdyx5P88ccfonDhwqJp06bCxMRENG3aVJQrV07Y2tqKb775Ru54QgghMjIyxNSpU0X16tWFk5OTsLe313oowcOHD0WTJk2EkZFRrg+lUEtONbh27ZqoVKmS0Gg0wsjISGg0Gun/lfK9VMNr5ZuysrJEVlaW3DG07Nu3T5ibm4vAwEBhYmIirl27JoQQYuLEiaJNmzYyp3tFSX8nWQjpWfXq1UVYWJgQQggrKytx7do18e+//4rmzZuLn3/+WeZ02by8vMTKlSuFEK8yCiHE6NGjRZ8+feSMpsXX11fMnTtXCPEqZ1ZWlujZs6f0PZbb6NGjRfHixcVPP/0kzMzMxPjx40X37t2Fg4ODmDVrltzxhBBCdOzYUdSuXVtER0cLS0tLsXPnTvHbb78JLy8vsXXrVrnjSdSSUwghrl69KkJCQkT9+vVF/fr1Rd++fcXVq1fljiVp2rSpaNGihfj777+FlZWVOH/+vDh48KCoUaOGOHDggNzxhBDqeK3MsWzZMuHj4yNMTU2Fqamp8PX1FcuXL5c7lhBCiFq1aolp06YJIbRfz48fPy5KlCghZzQtSvo7yUJIz6ysrKQXRDs7O3H27FkhhBCxsbHCzc1NxmSvmJubi5s3bwohhChWrJiIjY0VQghx+fJlUaRIETmjabGwsBA3btwQQghRpEgRER8fL4QQ4vz588LZ2VnGZK+ULl1aepN+/Wc/a9Ys0aFDBzmjSZydncXx48eFEEJYW1uLS5cuCSGE2LRpk6hdu7ac0bSoJWdkZKQwMTERNWrUEKGhoSI0NFTUqFFDmJqaip07d8odTwghhIODg4iLixNCCGFjYyMuXrwohBAiKipK+Pn5yRlNoobXSiGEmDZtmrCwsBBDhw4VmzZtEps2bRJDhgwRFhYWYvr06XLHE5aWluL69etCCO1C6MaNG8LU1FTOaFqU9HeSk6X1zNLSUrr3Wbx4cVy7dk06988//8gVS4uzszOSkpIAAKVKlcKxY8cAADdu3IBQ0Mbj9vb2+PfffwEAJUqUwNmzZwEAT548wdOnT+WMJklMTISvry8AwMrKCsnJyQCApk2bYtu2bXJGk6SlpcHR0RFA9vf077//BgD4+voqaj6YWnIOHz4coaGhOH78OKZPn47p06fj+PHjGDBgAIYNGyZ3PABAZmYmrK2tAQBFixbFvXv3AABubm64dOmSnNEkanitBIA5c+Zg/vz5mDx5Mpo3b47mzZtjypQp+PnnnzF79my548HOzg7379/XOX769GmUKFFChkS5U9LfSRZCelarVi0cOnQIANC4cWMMGjQIP/zwA7p164ZatWrJnC5bvXr1sHnzZgBA165dERoaiv/7v/9Du3bt0KpVK5nTvVKnTh3s2rULANC2bVv0798fPXv2RIcOHVC/fn2Z02UrWbKk9CJUpkwZ7Ny5EwAQHR2tmF4/Xl5e0gtN5cqV8csvv+Du3buIiIhA8eLFZU73ilpyXrhwAd27d9c53q1bN5w/f16GRLp8fHwQFxcHAKhZsyamTJmCw4cPY9y4cShdurTM6bKp4bUSAO7fv49PPvlE5/gnn3ySawGS39q3b49hw4YhMTERGo0GWVlZOHz4MAYPHozOnTvLHU+iqL+T+Xr9yQBdu3ZNuvyXmpoqvv32W+Hr6ytat24t3Y6SW2ZmpkhPT5c+/uOPP0Tfvn3F7NmzxYsXL2RMpu3Ro0fi7t27QojszBMnThTNmjUTAwcOFElJSTKnyzZs2DDxww8/CCGEWLVqlTA2NhZly5YVJiYmYtiwYTKny/bbb7+JJUuWCCGEOHnypChatKgwMjISZmZmYtWqVfKGe41acpYsWVKsWbNG5/jq1auFq6urDIl0RUZGivXr1wshhLhy5Yrw8vISGo1GFC1aVOzevVvmdNnU8FophBAVK1aU/o2/bvz48cLHx0eGRNpevHghevToIYyNjYVGoxGFCxcWRkZGolOnTiIjI0PueJJ3/Z2MiorK1yxsukpISEiAq6srNBqN1nEhBG7fvo1SpUrJlEz9jh07hiNHjsDT0xPNmjWTO06unj59iosXL6JUqVIoWrSo3HHeSqk5x40bhxkzZmD48OHSlYLDhw9j8uTJGDhwIEaPHi1zwtwlJSXB3t5e5989vdv69evRrl07BAYGonbt2gCyf95RUVFYs2aNYq6iJyQk4OzZs0hNTYW/vz88PT3ljvResv2dzNeyywB5eHiIf/75R+f448ePhYeHhwyJdBkZGYkHDx7oHP/nn38Us7RWCHXk3L9/v9bVtRzp6eli//79MiTSNXbsWJGWlqZz/OnTp2Ls2LEyJMqdWnJmZWWJ6dOnixIlSkhLgEuUKCFmzpypmKXVXbt2FSkpKTrHU1NTRdeuXWVIpEsNr5U5Tp48KYKDg0WVKlVElSpVRHBwsDh16pTcsXQocXl/jidPnohHjx7pHH/06JFITk7O1ywshPRMo9Hk+uadmJgoTExMZEikS6PRiIcPH+ocv3nzprCwsJAhUe7e9r28e/euMDMzkyGRLjUUa2rIKIR6cr4uJSUl14JDbm/7Xv7999+iUKFCMiTSpYbXSrVYuHChqFixojAxMREmJiaiYsWK4tdff5U7lpaGDRuKefPm6RyfP3++aNSoUb5m4c7SepIz+RgAduzYAVtbW+njzMxMREVFwd3dXYZkrwwcOBAAoNFoMHr0aFhYWEjnMjMzcfz4cfj5+cmU7pWclRgajQYLFy6ElZWVdC4zMxMHDhxA+fLl5YqnRQiR62XdR48ewdLSUoZEut6WMS4uDkWKFJEhUe7UkvN1OatglCIlJQUi+xde/PvvvzAzM5POZWZmYvv27dLKPLmo4bXyTVlZWbh69SoePnyIrKwsrXN16tSRKVW2sLAwTJ8+HX379kVAQAAA4OjRowgNDUVCQgLGjRsna74cOass3/TFF19g5MiR+ZqFhZCetGzZEkD2m3eXLl20zhUuXBju7u6YNm2aDMleOX36NIDsN5wzZ87AxMREOmdiYoLKlStj8ODBcsWTzJgxA0B2zoiICBQqVEg6Z2JiAnd3d0RERMgVDwDQunVrANk/72+++UZrhVhmZibi4+NzXWmSn3LuvWs0GpQrV06ryMjMzERqaip69+4tY8Jsasjp7+//wfMY5Fzqb2dnp/W9fJNGo8HYsWNlSPaKGl4rX3fs2DF07NgRt27d0tleRKPRIDMzU6Zk2ebPn49ff/0VHTp0kI41b94clSpVQt++fRVTCL148QIZGRk6x9PT0/Hs2bN8zcJCSE9yfkvw8PBAdHS0oiZ35ti7dy+A7CXzs2bNgo2NjcyJcnfjxg0AQN26dbFhwwbY29vLnEhXzm+xQghYW1vD3NxcOmdiYoJatWqhZ8+ecsUDAMycORNCCHTr1g1jx47V+s07p6DM+Q1STmrImfPmDQDPnz/Hzz//DG9vbynXsWPHcO7cOXz33XcyJcy2d+9eCCFQr149rF+/XutKmomJCdzc3ODi4iJjQnW8Vr6ud+/eqFatGrZt24bixYsrbrJ5eno6qlWrpnO8atWquRYecqlRowYWLFiAOXPmaB2PiIhA1apV8zULV43lo+fPn2tdmlaaq1ev4tq1a6hTpw7Mzc3femtCbi9fvsSNGzdQpkwZGBsrq5YfO3YsBg8erJjbYLnZv38/ateurbjv3ZvUkrNHjx4oXrw4xo8fr3U8PDwct2/fxuLFi2VK9sqtW7dQqlQpRf57zo2SXystLS0RFxeHsmXLyh0lV3379kXhwoV1bjsNHjwYz549w7x582RKpu3w4cMIDAxE9erVpX3goqKiEB0djZ07d+Kzzz7LtyzcUFHPsrKyMH78eJQoUQJWVla4fv06AGD06NFYtGiRzOmyJSUloX79+ihXrhwaN24sbQrWvXt3DBo0SOZ0rzx79gzdu3eHhYUFKlasiISEBADZ//AnTZokc7ps4eHhMDU1xe7du/HLL79IO2Hfu3cPqampMqfL9vnnn+PWrVsYNWoUOnTogIcPHwIA/vrrL5w7d07mdK+oJefatWtz3aiuU6dOWL9+vQyJdLm5ueHQoUPo1KkTPvnkE9y9excA8Ntvv0mbGMpNDa+VQPbmf1evXpU7hpaBAwdKj5y5lD4+PujRowd69OgBX19f/PrrrzAyUs5bfu3atXH06FG4urpizZo12LJlC8qWLYv4+Ph8LYIAFkJ6N2HCBCxduhRTpkzRmoPj4+ODhQsXypjslQEDBqBw4cJISEjQmjDdrl07REZGyphM2/DhwxEXF4d9+/Zp/bYYGBiI1atXy5jslVu3bsHX1xctWrRAnz59pLYQkydPVsR8KyD7Souvry+OHz+ODRs2SAVaXFwcwsPDZU73ilpympub4/DhwzrHDx8+rJirGuvXr0dQUBDMzc1x6tQpvHjxAgCQnJyMH3/8UeZ02dTwWglk/+I1aNAgLF26FDExMYiPj9d6yOH06dPS48yZM6hatSqKFSuGa9eu4dq1ayhatCiqVKmiqF8gAMDPzw8rVqzAuXPncPLkSSxevFie/Y7ydY2aASpTpoy0c+vrDfAuXLgg7Ozs5IwmcXJykhqtvp7x2rVrwtLSUs5oWkqVKiWOHj0qhNDOeeXKFWFtbS1nNEmLFi1Ep06dxIsXL7Qy7t27V5QtW1bmdNnU0p1aLTknTpwozMzMRN++fcVvv/0mfvvtNxESEiIsLCzExIkT5Y4nhBDCz89PLFu2TAih/b08deqUcHJykjOaRA2vlUIIaa+o1x9GRkbSf+ntXt8fKDk5+Z2P/KTsm+8FwN27d3O9l5yVlYX09HQZEulKS0vTuhKUIykpSTH9sQDg77//znWpb1pammLmPhw8eBBHjhzR+o0WANzd3aXbEXI7c+YMVq5cqXPc0dFRUc0t1ZJz+PDhKF26NGbNmoXff/8dAFChQgUsWbIEX331lczpsl26dCnXZd22trZ48uRJ/gfKhRpeK4FXizfo49nb2+P+/ftwdHSUVjS+Sfz/uan5ufqOhZCeeXt74+DBg3Bzc9M6vm7dOvj7+8uUSttnn32G5cuXS5M9cxr1TZkyBXXr1pU53Ss5KzX69u0LANI/ooULF8q+iihHVlZWrv+A79y5o5g9ZnK6U3t4eGgdV1p3arXkBICvvvpKMUVPbpydnXH16lWd/XgOHTqkmKaranitBKCTT4lOnjyJNWvWICEhAS9fvtQ6t2HDBplSAXv27JFWLuasWlYCFkJ6FhYWhi5duuDu3bvIysrChg0bcOnSJSxfvhxbt26VOx4AYMqUKahfvz5OnjyJly9fYujQoTh37hySkpJynfsglx9//BGNGjXC+fPnkZGRgVmzZuH8+fM4cuQI9u/fL3c8AECDBg0wc+ZMLFiwAEB2sZaamorw8HA0btxY5nTZcrpTr127VtHdqdWSUw169uyJ/v37Y/HixdBoNLh37x6OHj2KwYMHK6YXmhpeKwFg+fLl7zwv99/NVatWoXPnzggKCsLOnTvRoEEDXL58GQ8ePJC9D9rnn3+e6//LLl9vxBmoAwcOiMDAQFGsWDFhbm4uateuLXbs2CF3LC1PnjwREyZMEG3bthWNGjUSI0eOFPfu3ZM7lo6rV6+KHj16iOrVq4sKFSqI4OBgER8fL3csye3bt4W3t7eoUKGCMDY2FrVq1RIODg7Cy8sr1/YBclBLd2q15MzIyBBTp04V1atXF05OTsLe3l7roQRZWVliwoQJwtLSUprXYmZmJkaNGiV3NC1qeK20s7PTeuR8T01NTRXx8/b19RVz584VQryaa5WVlSV69uwpwsLCZM0WFxf3wY/8xH2EiPJYRkYGVq1ahfj4eKSmpqJKlSoIDg7W2mRRCdTSnVrpOcPCwrBw4UIMGjQIo0aNwsiRI3Hz5k1s3LgRYWFh6Nevn9wRJS9fvsTVq1eRmpoKb29vrXY19N+7cuUK/vOf/2DIkCEICgqSNYulpSXOnTsHd3d3ODg4YN++ffD19cWFCxdQr149aXsUORgZGUGj0ejsyP2m/J4jxELIQH3MMs9KlSrpMcm7paSkfPBYpe6MTQVbmTJlMHv2bDRp0gTW1taIjY2Vjh07dizXCd9U8Jw8eRKdOnXCxYsXZc1RsmRJ/PXXX/D19UWlSpUwYsQIdOjQAUePHkXDhg2RnJwsW7Zbt2598Nj8nIvFOUJ6kNMr6UMkJSXpOU3u/Pz8FFmZv+ltKwteJ2RYZfC615tGvk/z5s31mOTtchrsfojcGiHmF7XkfF1iYiJ8fX0BAFZWVtIbTdOmTWWdf5PT/+5DyDWBVg2vlR/K2NgY9+7dkzsG6tSpg127dsHX1xdt27ZF//79sWfPHuzatUvawVkuSp1ozkJID2bOnCl3hPdSyxJQJa0seJvX+069i5zFWk6D3feRexsCteR8XcmSJXH//n2UKlUKZcqUwc6dO1GlShVER0fLuv3E6z3alEoNr5VvevMXHyEE7t+/j7lz56J27doypXpl7ty5eP78OQBg5MiRKFy4MI4cOYI2bdpg1KhRMqfTdunSJcyZMwcXLlwAkL3tRN++feHl5ZWvOXhrjIjofzB8+HDY2Njg+++/x+rVq9GpUye4u7sjISEBoaGhimn/QnnjzTYVGo0GxYoVQ7169TBt2jQUL15cpmTqsn79erRv3x7VqlXTalYcHR2NVatWoU2bNvmWhYVQPsjMzMSff/4pVb3e3t5o0aKFoppJKqUyf5/Hjx9j0aJFWt/Lrl27anXVpg93+/ZtAICrq6vMSd5NLTmB7BfzI0eOwNPTE82aNZM7jpaHDx/i0qVLAAAvL69cNyiVkxpeK5Xu1KlTKFy4sHS7dtOmTViyZAm8vb0xZswYnc1e5VKmTBkEBwdj3LhxWsfDw8Px+++/49q1a/kXJl/XqBmgs2fPitKlSwsLCwvh7+8v/P39haWlpXB3dxdnzpyRO54QQoh169ZJS71DQ0NFaGioCAgIEMbGxmLdunVyx5Ps379f2NjYCFdXV9GqVSvRqlUrUapUKWFjYyP2798vdzzJ7t27RZMmTUTp0qVF6dKlRZMmTcSuXbvkjiVJT08Xo0aNEjY2NsLIyEgYGRkJGxsbMXLkSPHy5Uu540nUkPPly5eia9eu4vr163JHeafk5GTRqVMnaSsCjUYjjI2NRXBwsHjy5Inc8YQQ6nitVINq1apJr9vXrl0TpqamokOHDqJs2bKif//+8oZ7jbm5ubhy5YrO8cuXLwtzc/N8zcJCSM9q1aolmjVrJpKSkqRjSUlJonnz5iIgIEDGZK+ULl1ajB49Wud4WFiYKF26tAyJcufj4yN69uyptYdMRkaG6NWrl/Dx8ZEx2Svz5s0TxsbGon379mLWrFli1qxZokOHDqJw4cLS3h5y6927t3B0dBQRERHSnh0RERHC2dlZ9O7dW+54ErXktLGxUXwh9NVXXwlPT08RGRkp9XKKjIwUXl5eol27dnLHE0Ko47VSCCH9svjmY+DAgeL7778XixcvFo8ePZItn42Njbh69aoQQohJkyaJBg0aCCGEOHTokChZsqRsud7UqFEjsXjxYp3jixcvljLnFxZCemZmZibOnj2rc/zMmTPCzMxMhkS6lFSZv4uZmZm4ePGizvGLFy8q5ntZokQJMWfOHJ3jc+fOFS4uLjIk0mVjYyO2b9+uc3zbtm3CxsZGhkS5U0vOzp07i+nTp8sd450sLCzEwYMHdY4fOHBAWFhYyJBIlxpeK4UQ4osvvhA2NjbC0tJSVKlSRVSpUkVYWVkJW1tbUbNmTWFnZyfs7e3FuXPnZMlnbW0tLl++LIQQIjAwUMycOVMIIcStW7cU9X2cP3++KFasmOjTp4/UrLhPnz7C0dFRzJ8/X2zatEl66BtvvOpZuXLl8ODBA1SsWFHr+MOHD3NtMCiHL774AgcPHtTJc+jQIXz22WcypdJVpUoVXLhwQWfe0oULF1C5cmWZUml78uQJGjZsqHO8QYMGGDZsmAyJdJmamur0nAIADw8PxcwfANST09PTE+PGjcPhw4dRtWpVWFpaap1XwoaKDg4Oua4is7W1hb29vQyJdKnhtRIAWrRogSJFimDJkiXS3mXJycno0aMHPv30U/Ts2RMdO3ZEaGgoduzYke/5qlWrhgkTJiAwMBD79+/H/PnzAWSvFHZycsr3PG/z3XffAQB+/vln/Pzzz7meA/Jpta3eSy0Dt23bNlGxYkWxdu1acfv2bXH79m2xdu1a4evrK7Zt2yZdpk5OTpYto5Iq83dZtWqVKFWqlJg6dao4ePCgOHjwoJg6dapwd3cXq1atkm179td16NBBTJkyRef41KlTFXMLYuzYsaJDhw7i+fPn0rHnz5+L4OBgMWbMGBmTaVNLTnd397c+PDw85I4nhBDil19+EYGBgeL+/fvSsfv374sGDRqIiIgIGZO9oobXSiGEcHFxyfVqz9mzZ6WrvjExMcLBwSG/owkhsttY+Pj4CBsbG61/JyEhIaJDhw6yZFI6rhrTs9eXWubsfZLzLX/9Yzn3mHlzOejbyL254vty5mwQKWfOCRMm4KeffkLt2rW1loQePnwYgwYN0tr9Wq4rBa1atUJUVBRMTU2lK2lxcXF4+fKlzoZrcnaqVktONfD398fVq1fx4sULlCpVCkB26xJTU1OdliWnTp2SI6IqXiuB7E0zt27dii+++ELr+L59+9CsWTP8+++/uH79Ovz8/D5qZ3x9e/78OQoVKoTChQvLHeWdnjx5gt9//x0hISH59jl5a0zP1LAhYFZWltwRPogaNoFctGgR7O3tcf78eZw/f146bmdnh0WLFkkfazQa2QohOzs7nT06lLgsXS051eBDN/2UkxpeK4HsW2PdunXDtGnTUL16dQBAdHQ0Bg8eLH2fT5w4gXLlysmYUpeZmZncEd4pKioKixYtwp9//gkLC4t8LYR4RYiI6H/wtrYgGo0GZmZmKFu2rDSvhNQvNTUVoaGhWL58OTIyMgBkt9fo0qULZsyYAUtLS8TGxgLIbmVEb3f79m0sWbIES5YsQUJCAtq3b4+vv/4a9evXz9crVyyE8sHz588RHx+Phw8f6lx9kav31Juio6Oxd+/eXDMqpacTANy7dw+HDh3KNacSJqWS4albty5OnTqFzMxMaSL/5cuXUahQIZQvXx6XLl2CRqPBoUOH4O3tLXPa7DfyN//tKKVhsRpeK3Okpqbi+vXrAIDSpUvDyspK5kTqkJ6ejo0bN2LhwoU4ePAgGjZsiI4dO6JDhw6Ii4uT5d8ICyE9i4yMROfOnfHPP//onJP7XneOH3/8EaNGjYKXlxecnJy0+jhpNBrs2bNHxnSvLF26FN9++y1MTEzg4OCgkzPnRUlOQgisW7furUWlEuayPHr0CGFhYW/NqJTmlmrJOXPmTBw8ePC9q4iePXsmyyoiIPu2ckhICPbt2yf1oQKUMecmhxpeK+l/5+joiPLly6NTp05o27attGqxcOHCLIQKKk9PTzRo0ABhYWGKWrr4OicnJ0yePBnffPON3FHeydXVFb1798aIESM+eIJ3fuvfvz9++eUX1K1bV6eoBIAlS5bIlOyVxo0b4+rVq+jevXuuGbt06SJTMm1qyVmiRAns2rVL5wX83LlzaNCgAe7evYtTp06hQYMGub7J54fatWtDCIH+/fvn+r38/PPPZcn1OjW8VgJAWloaJk2ahKioqFwLdCX8QpbjzcnmSlCkSBH4+vqiU6dOaNeunfTLg5yFECdL69mDBw8wcOBARf/DNjIyUkTX5Pd5+vQp2rdvr9giCAB+++03bNiwAY0bN5Y7ylsdPHgQhw4dUszeS2+jlpzJycl4+PChzgv433//La0asrOzw8uXL+WIByB7tV1MTIziege+Tg2vlQDQo0cP7N+/H19//TWKFy+uqCIjx/LlyzF16lRcuXIFQPYeTUOGDMHXX38tc7Ls6Q3r16/HokWL0L9/fzRq1AidOnWS9fvIQkjPvvzyS+zbtw9lypSRO8pbhYaGYt68eZg5c6bcUd6pe/fuWLt2LYYPHy53lLeytbVF6dKl5Y7xTuXLl8ezZ8/kjvFeasmphlVE1atXx+3btxVdCKnhtRIA/vrrL2zbtk2xvzxOnz4do0ePRkhIiJTx0KFD6N27N/755x+EhobKms/MzAzBwcEIDg7GtWvXsGTJEvTr1w8ZGRn44Ycf8M0336BevXooVKhQvmXirTE9e/r0Kdq2bYtixYrB19dXZya8Eib4ZmVloUmTJrh8+TK8vb11MiphXguQ3Zm6adOmePbsWa7fSyVM6l62bBkiIyOxePFimJubyx0nV9HR0Rg+fDjCwsLg4+Oj831UysRZteR81yqi6dOnw8rKSvZVRNeuXUPv3r3RqVOnXL+XlSpVkiXX69TwWglk72y+fft2VKhQQe4oufLw8MDYsWPRuXNnrePLli3DmDFjFLkNSVZWFnbs2IFFixZhy5YtsLa2ztfbyCyE9GzRokXo3bs3zMzMFDvBNyQkBAsXLlT0vBYge7PCsLAwRU/qfvbsGVq1aoXDhw/D3d1d58Vcrs3qXnflyhV07NhRJ4uSJs4C6smZQ8mriI4dO4aOHTvi5s2b0jElbED6OjW8VgLA77//jk2bNmHZsmWwsLCQO44OMzMznD17VqctyZUrV+Dr66s1WV6J/v77b/z2229v3ZZCH1gI6ZmzszP69euH4cOHK3Zui7W1NVatWoUmTZrIHeWd7O3tMWPGDEVP6v7qq6+wd+9efPnll7kWleHh4TIle6VGjRowNjZW9MRZQD05u3XrhlmzZsHa2lrreFpaGvr27YvFixfLlOwVb29vVKhQAUOHDs31e+nm5iZTslfU8FoJZO/Sfe3aNQghFPnLjo+PDzp27Ijvv/9e6/iECROwevVqnDlzRqZkysVCSM+KFCmC6OhoRd/3dnNzw44dO1C+fHm5o7yTs7MzDh48qNMSQEksLS2xY8cOfPrpp3JHeSsLCwucPn1a0fNFAPXkLFSoEO7fvw9HR0et4//88w+cnZ2l22VysrS0RFxcnKKal75JDa+VADB27Nh3npf7l53169ejXbt2CAwMlOYIHT58GFFRUVizZg1atWolaz4l4mRpPevSpQtWr16tU50ryZgxYxAeHo4lS5Yo8lJvjv79+2POnDmYPXu23FHeytXVVTFzV96mWrVqip84Cyg/Z0pKCoQQEELg33//1WphkJmZie3bt+sUR3KpV6+e4gshNbxWAvIXOu/Tpk0bHD9+HDNmzMDGjRsBABUqVMCJEyfg7+8vbziF4hUhPevXrx+WL1+OypUro1KlSoqc4Kv0S705WrVqhT179sDBwQEVK1ZU5KTubdu2Yc6cOYiIiIC7u7vccXK1du1ajBkzBkOGDMl1UqoSJs4Cys9pZGT0ziW/Go0GY8eOxciRI/MxVe4WLFiACRMmoFu3brl+L5Wwa7MaXiupYGIhpGd169Z96zmlTPBV+qXeHF27dn3neSVM6ra3t8fTp0+RkZEBCwsLnRdzJeyGnNv8C6VNnAWUn3P//v0QQqBevXpYv369Vi8xExMTuLm5wcXFRcaEr7xrzo0SvpeAsl8rixQpgsuXL6No0aKwt7d/ZwGshH/jaiP3xo8shIjy0LJly955Xgm7Id+6deud55UwcRZQV85SpUopcmM9yhvLli1D+/btYWpqiqVLl77zZy3Xv/H3XaEEsgsNJcxZy6GUjR9ZCOWjO3fuAABKliwpc5LcxcTE4MKFCwCAihUrKvZ+8t9//41Lly4BALy8vFCsWDGZE5Ehi4yMhJWVlTRBft68efj111/h7e2NefPmSb2U6MMp/bVSiTZt2vTWc0ePHsXs2bORlZWlmOXzb9v4cd68eZgwYUL+bvwoSK8yMzPF2LFjhY2NjTAyMhJGRkbC1tZWjBs3TmRmZsodTwghxIMHD0TdunWFRqMR9vb2wt7eXmg0GlGvXj3x8OFDueNJUlNTRdeuXUWhQoWERqMRGo1GGBsbi27duom0tDS540kyMjLEunXrxPjx48X48ePFhg0bREZGhtyxtFy9elWEhISI+vXri/r164u+ffuKq1evyh1Lhxpy+vj4iG3btgkhhIiPjxcmJiZixIgRolatWuKbb76ROd0r+/btE02bNhVlypQRZcqUEc2aNRMHDhyQO5ZE6a+VGo1GyvW2R6FCheSOqeXixYuiZcuWolChQqJz587i5s2bckeSuLu7i2XLlukcX7p0qXB3d8/XLCyE9Gz48OGiWLFi4ueffxZxcXEiLi5OzJs3TxQrVkx8//33cscTQgjx1VdfiWrVqonz589Lx86dOyeqVasm2rdvL2Mybb169RKlS5cW27dvF8nJySI5OVls27ZNlClTRvTu3VvueEIIIa5cuSI8PT2FhYWF8Pf3F/7+/sLCwkJ4eXkp5g08MjJSmJiYiBo1aojQ0FARGhoqatSoIUxNTcXOnTvljidRS05LS0tx48YNIYQQ4eHhok2bNkIIIWJiYoSTk5OMyV757bffhLGxsfjqq6/ErFmzxKxZs8RXX30lChcuLFasWCF3PCGE8l8rN27c+NbHsGHDhLm5uTA1NZU7phBCiLt374oePXqIwoULi6ZNm4ozZ87IHUmHqampuHLlis7xy5cv5/v3kYWQnhUvXlxs2rRJ5/jGjRuFi4uLDIl02djYiBMnTugcP378uLC1tc3/QG/h4OAg9u7dq3N8z549omjRovkfKBeNGjUSDRs2FI8ePZKO/fPPP6Jhw4aicePGMiZ7xc/PTwwbNkzn+LBhw4S/v78MiXKnlpz29vbi3LlzQgghateuLX755RchhBA3btwQ5ubmckaTlC9fXkyfPl3n+LRp00T58uVlSKRLDa+Vb1LaFZcnT56IoUOHCnNzcxEQEKCoK35vqlixovjhhx90jo8fP174+PjkaxYWQnpmamoqLl26pHP84sWLwszMTIZEuqysrMTp06d1jp86dUpYW1vnf6C3MDc317pqlePs2bPCwsJChkS6LCwsRHx8vM7x2NhYYWlpKUMiXaampuLy5cs6xy9duqSY32iFUE/OZs2aiaCgIDFu3DhRuHBhcefOHSGEEDt27BCenp4yp8tmYmKS62/fV65cUcz3Ug2vlTmUeMVl8uTJokiRIsLb21ts3LhR7jjvtW7dOlGoUCHp3864ceNEUFCQMDY2Fhs2bMjXLMrdx7yAqFy5MubOnatzfO7cuahcubIMiXTVq1cP/fv3x71796Rjd+/eRWhoKOrXry9jMm0BAQEIDw/Xmuz37NkzjB07FgEBATIme8XU1BT//vuvzvHU1FSYmJjIkEhXsWLFpCagr4uNjVXMBoCAenLOnTsXxsbGWLduHebPn48SJUoAyO5S3rBhQ5nTZXN1dUVUVJTO8d27d8PV1VWGRLrU8FqZnJyMYcOGoWzZsjh37hyioqKwZcsW+Pj4yB0Nw4cPx/Pnz1G2bFksW7YMrVu3zvWhFDkbPxYtWhQbN27Exo0bUbRoUZw4cSLfd7/mztJ6NmXKFDRp0gS7d++W3qyPHj2K27dvY/v27TKnyzZ37lw0b94c7u7u0ovi7du34ePjg99//13mdK/MmjULQUFBKFmypPTCGBcXBzMzM+zYsUPmdNmaNm2KXr16YdGiRahRowYA4Pjx4+jdu7ciNq0DgJ49e6JXr164fv06PvnkEwDZW/BPnjw5Xxsdvo9acpYqVQpbt27VOT5jxgwZ0uRu0KBB6NevH2JjY7W+l0uXLsWsWbNkTpdN6a+VU6ZMweTJk+Hs7Iw//vgDLVq0kDuSls6dO6tuC4eqVasq4j2Gy+fzwd27d/Hzzz/j4sWLALK3O//uu+8Us9kakL2h1e7du7UyBgYGypxK19OnT7FixQqtnMHBwTA3N5c5WbYnT56gS5cu2LJli7SZYkZGBpo3b46lS5fC1tZW5oTZP+uZM2di2rRp0lVAFxcXDBkyBP369VPMi6lacgLZLTU2btyotf1E8+bNUahQIZmTvfLnn39i2rRpUsYKFSpgyJAhinpDV/JrpZGREczNzREYGPjOn6sSdrinj8NCiEgPrl69qvWGo9QeTzm38d7snK40Ss559epVNG7cGHfv3pX6ol26dAmurq7Ytm2b4puI0of55ptvPqj4VsIO90qmxI0fWQjp2ZIlS2BlZYW2bdtqHV+7di2ePn2qiJ2G+/Xrh7Jly6Jfv35ax+fOnYurV69i5syZ8gR7w8SJE+Hk5IRu3bppHV+8eDH+/vtvDBs2TKZk6nLjxg1kZGTA09NT6/iVK1dQuHBhxfRIU0vOxo0bQwiBFStWSG02Hj16hE6dOsHIyAjbtm2TOSEQHR2NrKws1KxZU+v48ePHUahQIVSrVk2mZK+o4bWS/neK3PgxX6dmGyBPT0+xZ88eneP79u0T5cqVkyGRLhcXF3Hy5Emd4zExMaJEiRIyJMqdm5ubOHz4sM7xY8eO5fsGXG/TunVrMWnSJJ3jkydPFl9++aUMiXTVqVNHLF26VOf4b7/9Jj7//PP8D/QWasmphpWC1atXF2vXrtU5vn79elGjRg0ZEulSw2sl6Yfc2xBw1ZieJSQkwMPDQ+e4m5sbEhISZEik69GjR7nOXbGxscE///wjQ6LcJSYmonjx4jrHixUrhvv378uQSNeBAwfQuHFjneONGjXCgQMHZEik6/Tp09KW9q+rVatWrqu05KKWnGpYKXj+/HlUqVJF57i/vz/Onz8vQyJdanitpLx179499OzZE76+vsjIyEBsbCyWLVuW730EWQjpmaOjI+Lj43WOx8XFwcHBQYZEusqWLYvIyEid43/99RdKly4tQ6Lcubq64vDhwzrHDx8+rIjJlMDb3/wKFy6MlJQUGRLp0mg0ub5xJycnK6ILeQ615MxZKXj8+HGI7L3ZcOzYMUWtFDQ1NcWDBw90jt+/fx/GxspYPKyG10rKG4rbhiBfrz8ZoKFDhwo3NzexZ88ekZGRITIyMkRUVJRwc3MTgwYNkjueEEKIRYsWCXNzcxEWFib27dsn9u3bJ0aPHi0sLCzEggUL5I4nmTx5snBwcBCLFy8WN2/eFDdv3hSLFi0SDg4O4scff5Q7nhAi+xbE2LFjdY6Hh4eLKlWqyJBIV9OmTUXbtm21+p9lZGSINm3aiIYNG8qYTJtacj5+/Fi0aNFCGBkZCRMTE2FiYiKMjIxEy5YtxZMnT+SOJ4QQon379uLzzz/XyvP48WPx+eefi7Zt28qY7BU1vFbS/06JGz9ysrSevXz5El9//TXWrl0r/eaVlZWFzp07IyIiQjGXzufPn48ffvhBWqbs7u6OMWPGoHPnzjIne0UIgeHDh2P27Nl4+fIlAMDMzAzDhg1DWFiYzOmybdmyBa1bt0bHjh1Rr149AEBUVBT++OMPrF27Fi1btpQ3ILJvk9SpUwd2dnb47LPPAAAHDx5ESkoK9uzZo4jN4QDl58zKysLUqVOxefNmvHz5EqVKlUKXLl2g0WgUt1Lw7t27qFOnDh49egR/f38A2RtTOjk5YdeuXYrYVFEtr5X0v1HiNgQshPLJlStXEBsbC3Nzc/j6+ub7PdAP9ffff8Pc3BxWVlZyR3mr1NRUXLhwAebm5vD09ISpqanckbRs27YNP/74o/TzrlSpEsLDw/H555/LHU1y7949zJ07F3FxcVLGkJAQadWTUig55/jx4zFmzBgEBgbC3NwcO3bsQIcOHbB48WK5o+UqLS0NK1as0PpedujQQdrvSikuX74sZVTyayX9d5S4DQELISKi/4KnpycGDx6Mb7/9FkB2u4omTZrg2bNnMDLi9EsitWAhRHjw4AEGDx6MqKgoPHz4EG/+lVDSxFTKG0+ePMGJEyfw8OFDZGVlaZ1T0u1QJTM1NcXVq1e1biuZmZnh6tWrKFmypIzJcnflyhXs3bs315+5Em4tZ2ZmYunSpdLr0JsZ9+zZI1MyKuiUsVyAZPXNN98gISEBo0ePRvHixRXVuoDy3pYtWxAcHIzU1FTY2Nho/bw1Gg0LoQ+UkZEBMzMzrWOFCxdGenq6TIne7tdff8V//vMfFC1aFM7Ozjo/cyUUQv3798fSpUvRpEkT+Pj48HWI8g2vCBGsra1x8OBB+Pn5yR2F8kG5cuXQuHFj/Pjjj7CwsJA7jmoZGRmhUaNGWnPUtmzZgnr16sHS0lI6poTeU25ubvjuu+8Uvft60aJFsXz58lz34SLSJ14RIri6uurcDqOC6+7du+jXrx+LoP9Rbi0fOnXqJEOS93v8+LFO6wqlMTExUdRKOzIcvCKUDxISEnDr1i08ffoUxYoVQ8WKFRW10mnnzp2YNm0afvnlF8X0b3qX8+fPIyEhQVpCn0Mpm9cpXevWrdG+fXt89dVXckehfNK9e3dUr14dvXv3ljvKW02bNg3Xr1/H3LlzeVuM8hWvCOnJzZs3MX/+fKxatQp37tzRuuJiYmKCzz77DL169UKbNm1kX2HSrl07PH36FGXKlIGFhYXOctqkpCSZkmm7fv06WrVqhTNnzkCj0Ujf05wXTbkmdQ8cOPCDx06fPl2PST5MkyZNMGTIEJw/fx6+vr46P28lFZTr1q3DmjVrci18T506JVMq9SlbtixGjx6NY8eO5fozf7PhshwOHTqEvXv34q+//kLFihV1MirhFiMVTLwipAf9+vXDsmXLEBQUhGbNmqFGjRpwcXGBubk5kpKScPbsWRw8eBCrVq1CoUKFsGTJElSvXl22vMuWLXvneaV0fW7WrBkKFSqEhQsXwsPDAydOnMCjR48waNAg/PTTT9Kme/mtbt26HzROo9EoYuXLuwpvjUajmFWCs2fPxsiRI/HNN99gwYIF6Nq1K65du4bo6Gj06dMHP/zwg9wRVSO3Hl45NBoNrl+/no9pcte1a9d3ns/PfWXIsLAQ0oMRI0Zg8ODBH9QfJzIyEk+fPkXr1q3zIZm6FS1aFHv27EGlSpVga2uLEydOwMvLC3v27MGgQYNw+vRpuSNSHipfvjzCw8PRoUMHWFtbIy4uDqVLl0ZYWBiSkpIwd+5cuSMSUQHAQshApaSkwMbGRvr/d8kZJzd7e3ucOnUKHh4eKFOmDBYuXIi6devi2rVr8PX1xdOnT+WOSHnIwsICFy5cgJubGxwdHbFr1y5UrlwZV65cQa1atfDo0SO5IxJRAcA5Qvnk77//xqVLlwAAXl5eKFasmKx57O3tcf/+fTg6OsLOzi7XyYlCCEXdKvHx8UFcXBw8PDxQs2ZNTJkyBSYmJliwYAFKly4tdzzJyZMn3zqvRa55DrNnz0avXr1gZmaG2bNnv3OsEuaLAICzszOSkpLg5uaGUqVK4dixY6hcuTJu3LjBVY4fYODAgRg/fjwsLS3fO49NrrlrVapUQVRUFOzt7eHv7//OSdKcE0b6wkJIz9LS0tC3b1/89ttvUkFRqFAhdO7cGXPmzJFtCfOePXukfk179+6VJcPHGjVqFNLS0gAA48aNQ9OmTfHZZ5/BwcEBq1evljldtlWrVqFz584ICgrCzp070aBBA1y+fBkPHjxAq1atZMs1Y8YMBAcHw8zMDDNmzHjrOI1Go5hCqF69eti8eTP8/f3RtWtXhIaGYt26dTh58iRvJX+A06dPS5s7vuu2sZwrtFq0aCGtoFVCQ2IyTLw1pmfffvstdu/ejblz56J27doAsldH9OvXD//3f/+H+fPny5xQ3ZKSkmBvb6+Y5baVKlXCt99+iz59+kjzWjw8PPDtt9+iePHiGDt2rNwRVSMrKwtZWVlSJ/JVq1bhyJEj8PT0xLfffstu5ESUJ1gI6VnRokWxbt06fPHFF1rH9+7di6+++gp///23PMFUKDk5GZmZmTqdx5OSkmBsbKyIuUyWlpY4d+4c3N3d4eDggH379sHX1xcXLlxAvXr1cP/+fbkjEhHRa3hrTM+ePn0KJycnneOOjo6c3PuR2rdvj2bNmuG7777TOr5mzRps3rwZ27dvlynZK/b29vj3338BACVKlMDZs2fh6+uLJ0+e8Of9AeLj4+Hj4wMjIyPEx8e/c2ylSpXyKRURFWS8IqRn9evXh4ODA5YvXy41aHz27Bm6dOmCpKQk7N69W+aE6lGkSBEcPnwYFSpU0Dp+8eJF1K5dWxGriDp27Ihq1apJE1XnzJmDFi1aYNeuXahSpQo3hXsPIyMjJCYmwtHREUZGRlobZ75OSZP4iUjdeEVIz2bOnImGDRuiZMmSqFy5MgAgLi4OZmZm2LFjh8zp1OXFixfIyMjQOZ6eno5nz57JkEjX3Llz8fz5cwDAyJEjUbhwYRw5cgRt2rTBqFGjZE6nfDdu3JBWVN64cUPmNERkCHhFKB88ffoUK1aswMWLFwEAFSpUQHBwMMzNzWVOpi5169aFj48P5syZo3W8T58+iI+Px8GDB2VKRnktPT0d3377LUaPHv3OXZGJiP5XLIT07MCBA/jkk0+klS85MjIycOTIEdSpU0emZNrU0NPp8OHDCAwMRPXq1VG/fn0AQFRUFKKjo7Fz507ZWmy8KSsrC1evXsXDhw+RlZWldU4pP2+lNwIGAFtbW8TGxrIQykNKa1istj59VDDx1pie1a1bV9q48HXJycmoW7euIuY5vN7TadOmTTo9nZSidu3aOHr0KKZOnYo1a9bA3NwclSpVwqJFi+Dp6Sl3PADAsWPH0LFjR9y6dUtnbovc81rU1AgYyN5XZuPGjQgNDZU7iuoptWHxh7bFUcr2GFQw8YqQnhkZGeHBgwc6O0lfvnwZ1apVe297i/zAnk55x8/PD+XKlcPYsWNRvHhxnRdwW1tbWXKprREwAEyYMAHTpk1D/fr1UbVqVVhaWmqdV8rGj2qg1IbFRErAQkhPcna+3bRpExo2bKh12yEzMxPx8fHw8vJCZGSkXBElSu7ppLaeaJaWloiLi0PZsmXljqJFjY2A1dAxXS3YsJjo7XhrTE9yfvMXQsDa2lprYrSJiQlq1aqFnj17yhVPi5J7OqmtJ1rNmjVx9epVxRVCEydO/OCxDRs21GOSD8dVY3knMzMT1tbWALKLonv37sHLywtubm5SD0QlUGKfPir4WAjpyZIlSwAA7u7uGDx4sM5lfSVRck8ntfVE69u3LwYNGoTExET4+vqicOHCWueVtAmg0hoBk/6ooWGxUvv0UcHHW2PEnk55KLdJxjmTU5Vy1UqpjYBzc+fOHWzevDnXKwRcRfThduzYgbS0NLRu3RpXr15F06ZNcfnyZalhcb169eSOyD59JBsWQvlADUvT1eBtLRc0Gg3MzMxQqlQp2ZeA37p1653n3dzc8inJ26mlEXBUVBSaN2+O0qVL4+LFi/Dx8cHNmzchhECVKlWwZ88euSOqmtIaFrNPH8mFt8b0TKlL09XY08nPz++dL9qFCxdGu3bt8Msvv0jtTPKbEgqd91m/fr1OI+DGjRvD3NwcX331lWIKoZwJ3mPHjoW1tTXWr18PR0dHBAcHK2Yek1rk1rC4SJEiimpYzD59JBtBeuXl5SVWrlwphBDCyspKXLt2TQghxOjRo0WfPn1ky6XRaMSDBw+k/zcyMhIajUbnYWRkJFvGN23cuFF4eXmJhQsXivj4eBEfHy8WLlwoKlSoIFatWiV+//13UbJkSTFo0CBZc169elWEhISI+vXri/r164u+ffuKq1evyprpdebm5uL8+fM6x8+ePSssLCxkSJQ7Kysr6ftmZ2cnzp49K4QQIjY2Vri5ucmYTH0aNmwo5s2bp3N8/vz5olGjRjIk0tWhQwcxbdo0IYQQ48aNE8WKFRM9evQQbm5uolWrVjKno4KMhZCemZubi5s3bwohhChWrJiIjY0VQghx+fJlUaRIEdly3bx5U2RlZUn//66HUlSvXl1ERkbqHI+MjBTVq1cXQgjx559/itKlS+d3NK0sJiYmokaNGiI0NFSEhoaKGjVqCFNTU7Fz507Zcr2uXr16om3btuLZs2fSsadPn4q2bduK+vXry5hMm5OTk1SwVahQQWzatEkIkV0IWVpayhlNdezt7XMtfi9cuCDr69DrHj16JO7evSuEECIzM1NMnDhRNGvWTAwcOFAkJSXJnI4KMt4a0zOlLk3PuYWTnp6OsWPHqqKn05kzZ3K99eTm5oYzZ84AyL59JudcguHDhyM0NBSTJk3SOT5s2DD83//9n0zJXlFLI+BatWrh0KFDqFChAho3boxBgwbhzJkz2LBhA2rVqiV3PFVRQ8Pi12/bGRkZYfjw4TKmIUPCydJ61qNHD7i6uiI8PBzz5s3DkCFDULt2bWlp+qJFi+SOqJqeTv7+/qhcuTIWLFggrWRLT09Hz549ERcXh9OnT+Pw4cPo1KmTbHvQmJmZ4cyZMzotPy5fvoxKlSpJnenlpoZGwNevX0dqaioqVaqEtLQ0DBo0SFrNOH36dFXMx1IKtTQsVkOfPip4WAjpmRqWpnfp0gV+fn6K7+l05MgRNG/eHEZGRtIE7jNnziAzMxNbt25FrVq18NtvvyExMRFDhgyRJaOrqyumT5+Otm3bah1fs2YNBg8ejISEBFlyvU4tjYAp76ihYbGS+/RRwcZCSI8yMjLw448/olu3bihZsqTccd5KTT2d/v33X6xYsQKXL18GkL0RYMeOHaVdc+U2btw4zJgxA8OHD8cnn3wCIPtNaPLkyRg4cCBGjx4tc8LsPYNyawT86NEjODo6KvINJzU1VecKgRJWOqlJbGwspk6ditjYWKlh8YgRIxTTsFipffqo4GMhpGdWVlY4e/Ys3N3d5Y7yVuzplHeEEJg5cyamTZuGe/fuAQBcXFwwZMgQ9OvXTxF7tqihETCQ3WIjJCQE+/bt07qlKBS0OSXlHaX26aOCj5Ol9ax+/frYv3+/ogshNfV0unbtGmbOnIkLFy4AACpWrIh+/fqhTJkyMifLptFoEBoaitDQUGlPFKVcrcppl6LRaPDNN9/k2gg45yqWEnTq1AlCCCxevBhOTk6KKCLVRG0Ni5Xap48KPhZCetaoUSMMHz4cZ86cyfW2U/PmzWVKpnynTp1C5cqVUahQIQDZbQKaN28OPz8/aUfkw4cP45dffsGWLVsUsSLrdUopgHKoqREwkL2SLSYmBl5eXnJHUSW1NSxWU58+Klh4a0zPcus9lUMpL0CAMns6zZgxAzt27MD69ethaWkJf39/BAUF5bo0fefOnbK1K6lSpQqioqJgb28Pf3//d165UEJLlbFjxyq+ETCQvdJp5MiRCAwMlDuKKu3fvx+1a9eGsbEx9u/f/86xn3/+eT6lejs19OmjgolXhPTszQmeSvS+nk5yCQ0NxbNnz/D555/j5MmTuHDhAtasWaMzrlu3bpg5c2b+B/z/WrRoId1matmypWw5PlR4eLjcET7IwoUL0bt3b9y9exc+Pj68QvCRXi9ulFDovI+abtFTwcIrQvno+fPnsvXAepcaNWqgUaNGUk+nuLg4rZ5O//nPf2TNd/DgQXz22WeqWJquFmpoBJyznPrmzZvSMV4h+O+ooWExkVx4RUjPMjMz8eOPPyIiIgIPHjzA5cuXUbp0aYwePRru7u7o3r273BFx4cIF/PHHHwAAY2NjPHv2DFZWVhg3bhxatGgheyGUs8dJz5490atXL1y/fj3XpelKcPv2bWg0Gmm7hBMnTmDlypXw9vZGr169ZE6XTamNgN/UrVs3+Pv7448//uBk6f+RGhoWA7qLIby9vdG/f3/FLIagAio/+3kYorFjx4rSpUuL33//XZibm0tNV1etWiVq1aolc7psaunplJWVJaZPny5KlCghNYUtUaKEmDlzptQ3TW6ffvqpWL58uRBCiPv37wtra2sREBAgihYtKsaOHStzumxKbQT8JgsLC3HlyhW5YxQIamhYrIY+fVQwsRDSszJlyojdu3cLIbTfdC5cuCDs7OzkjCZp0aKFWLBggRBCiEGDBomyZcuKCRMmiCpVqiiqCefrUlJSREpKitwxdNjZ2YmLFy8KIYSYNWuW+OSTT4QQQuzYsUN4eHjIGU2i1EbAb2ratKlYt26d3DEKBDU0LPbz8xPDhg3TOT5s2DDh7+8vQyIyFLw1pmd3797NdV+MrKwspKeny5BI1/Tp05Gamgoge0VRamoqVq9eLfV0UiKlLU3PkZ6eLs212L17t7Q9Qvny5WVtBvs6pTYCflOzZs0QGhqKM2fO5LqcmltPfDg1NCxW6mIIKvhYCOmZt7c3Dh48qPMitG7dOvj7+8uUSlvp0qWl/7e0tERERISMabS9bzn665QwybdixYqIiIhAkyZNsGvXLowfPx4AcO/ePTg4OMicLlu9evWwefNm+Pv7o2vXrggNDcW6deukRsBK0bt3bwDZbUvexMnSH6d8+fKYNGmSTsPiSZMmoXz58gCyf2lzcnKSLWOxYsUQGxur0/IjNjZWpx0MUV5iIaRnYWFh6NKlC+7evYusrCxs2LABly5dwvLly7F161a54+lQWk8nNSxHf93kyZPRqlUrTJ06FV26dEHlypUBAJs3b0aNGjVkTpdtwYIF0s+4T58+cHBwkBrafvvttzKne0UNW0+oxbx589C8eXOULFky14bFAHD9+nV89913smVUw2IIKpi4fD4fHDx4EOPGjUNcXBxSU1NRpUoVhIWFoUGDBnJHA8CeTnktMzMTKSkpsLe3l47dvHkTFhYWsv9mq5ZGwJT3lN6wWKigTx8VTCyECLVr14YQAv379891mbLSNmOLiYnR6jWmlFuMOTIyMrBv3z5cu3ZNeqO5d+8ebGxsYGVlJXc8RTcCnj17Nnr16gUzMzPMnj37nWP79euXT6kovymtTx8VbCyECFZWVqro6fTw4UO0b98e+/btg52dHQDgyZMnqFu3LlatWqXTTV0Ot27dQsOGDZGQkIAXL15I+0b1798fL168UMT8qxYtWqB169bo0qWL3FF0eHh44OTJk3BwcICHh8dbx2k0Gly/fj0fk6mf0hsWE8mFc4T0wN7e/oMv4yYlJek5zftVr14dt2/fVnwh1LdvX/z77784d+4cKlSoAAA4f/48unTpgn79+kmbQsqpf//+qFatGuLi4rQmR7dq1UoxDU2V3Aj49TYLbLnw31NLw2K19emjgomFkB6obamnWno6RUZGYvfu3VIRBGSvyps3b55i5lsdPHgQR44ckVbm5HB3d8fdu3dlSqUtZ0JsblsjKGVOWHp6OsqXL4+tW7dq/bzpw+zfvx/ff/+91LB4+PDhCA0NzbVh8bBhw2QrhNTWp48KJhZCeqDEWw7v8vfff+PatWvo2rWrdEyJPZ2ysrJ0ijQguz2AUlYYZWVl5fr9unPnjmLmOyjle/UuhQsX1pq4Tx9HLQ2LX28ArJZmwFTwGMkdoCBKSUn54IcS5PR0Onr0KK5fv44bN25o/Vcp6tWrh/79+0srSoDsvU9CQ0NRv359GZO90qBBA603Fo1Gg9TUVISHh6Nx48byBXsLJRcbffr0weTJk5GRkSF3FFX6/vvvMWPGDACv9uh5k5L26Ll9+zbu3LkjfXzixAkMGDAACxYskDEVGQJOltYDIyOj984RUtLVFktLS8TFxeW6A7aS3L59G82bN8e5c+fg6uoqHfPx8cHmzZsVsRz8zp07CAoKghACV65cQbVq1XDlyhUULVoUBw4cUMSbjhoaAQPZ86qioqJgZWUFX19fnblMGzZskCmZ+owbNw4zZszA8OHDc92jZ/To0TInzG6u3KtXL3z99ddITExEuXLl4OPjgytXrqBv374ICwuTOyIVULw1pgd79+6VO8JHqVevnioKIVdXV5w6dQq7d+/GxYsXAQAVKlRAYGCgzMleKVmyJOLi4rB69Wpp36ju3bsjODgY5ubmcscDAPzwww9YtmwZpkyZojWB28fHBzNnzlRMIWRnZ4c2bdrIHaNAGD16NKytrTFt2jSMGDECQPYePWPGjFHMNgRnz56VNh1ds2YNfH19cfjwYezcuRO9e/dmIUR6wytChAULFmDChAno1q0bezr9F15f+TJu3DgMHjwYFhYWcsd6q7Jly+KXX35B/fr1YW1tjbi4OJQuXRoXL15EQEAAHj9+LHdE0iOl7tHz+v5WzZs3R+3atTFs2DAkJCTAy8sLz549kzsiFVAshPQgPj4ePj4+MDIyQnx8/DvHKmFFlpHR26eKKeX2XY6oqChERUXh4cOHOpN+Fy9eLEsmc3NzXLlyBSVLlkShQoVw//59RdwCextzc3NcvHgRbm5uWoXQ+fPnUaNGDakBr1yysrIwdepUbN68GS9fvkT9+vURHh6umCtqpB81a9ZE3bp10aRJEzRo0EBqBnzs2DF8+eWXWvOHiPISb43pgZ+fHxITE+Ho6Ag/Pz9pBdablFJkqGEVEQCMHTsW48aNQ7Vq1VC8eHHFbLnv5+eHrl274tNPP4UQAj/99NNbd5BWwuV9pTcC/uGHHzBmzBgEBgbC3Nwcs2bNwsOHD2UrdNVKbQ2L1dCnjwomFkJ6cOPGDWmXY24Kl3ciIiKwdOlSfP3113JH0bJ06VKEh4dj69at0Gg0+Ouvv2BsrPtPS6PRKKIQUnoj4OXLl+Pnn3+WGsDu3r0bTZo0wcKFC9959ZK0qW1fni+++AL//POPTp++Xr16KfpWM6kfb40ZKDX2dHJwcMCJEycU3RLAyMhIuhqoZEpuBGxqaoqrV69KKwMBwMzMDFevXlXEykDSH6X36aOCiYVQPrhy5Qr27t2b67wWua4QqLGn07Bhw2BlZaWIpb6kP4UKFUJiYqJW7zhra2vEx8e/8+8qvZ+SGxaroU8fFUy8NaZnv/76K/7zn/+gaNGicHZ21rpnL+etEjX2dHr+/DkWLFiA3bt3o1KlSjqr23JrGSGHN5tbent7o3///oq+kqUkQgh88803UusFIPtn37t3b629hLiP0IdTQ8NiNfTpo4KJV4T0zM3NDd999x2GDRsmd5RcqamnU926dd96TqPRYM+ePfmYJndva24ZFxcna3NLNTUCfr3Vy7ssWbJEz0kKjnbt2uH69etYvny5TsPismXLKqJhsYODA44cOQIvLy+t1Yw3b96Et7c3nj59KndEKqB4RUjPHj9+jLZt28od463U1NNJDRtVKrW5pZoaAbPAyXtqaFishj59VDDxipCede/eHdWrV0fv3r3ljvJWP/74Iy5fvoyFCxfmutpJKZKTk5GZmYkiRYpoHU9KSoKxsTFsbGxkSvaKmZkZzpw5A09PT63jly9fRqVKlVRTdFLBYm1tjYMHD8LPz0/r+OnTp/H5558rou9hu3btYGtriwULFkhzwooVK4YWLVqgVKlSLJBJb5T7rqdir6/CKlu2LEaPHo1jx47lumuzElZkRUdHIyoqCjt37lR0T6f27dujWbNm+O6777SOr1mzBps3b8b27dtlSvZKTnPLNwshuZtbfswbnRIKSspbOQ2L//jjD7i4uABQXsPiadOmISgoCN7e3nj+/Dk6duwo9elTwq07Krh4RUgPPnRli1JWZL1vToZSfhMrUqQIDh8+rDOX6eLFi6hduzYePXokU7JXlNrcUm2NgClvqaFhMZC9fP71Pn1VqlRRVJ8+KphYCJFqWFpaSlfWXnfmzBnUrFlTEZMphRCYOXMmpk2bhnv37gHIbm45ZMgQ9OvXT7bdsPfv3//BYz///HM9JiG5CCEU17BYbX36qGBiIWTA1NbTqW7duvDx8cGcOXO0jvfp0wfx8fE4ePCgTMmyZWRkYOXKlQgKCoKTk5Nim1sSKYXa+vRRwcQ5QnrWpk0b1KhRQ2f5/JQpUxAdHY21a9fKlEx9PZ0mTJiAwMBAxMXFSfMaoqKiEB0djZ07d8qcDjA2Nkbv3r2l/YOUVACprREw5T0lNixWW58+Kph4RUjPihUrhj179uR6OycwMBAPHjyQKRng6emJwYMH6/R0evbsmWJ7OsXGxmLKlCmIi4uDubk5KlWqhBEjRuhMTpbLF198gQEDBiiuz9PrrT9y5gspuREw5a33NSz+888/Zcl16dIlhIeH49q1azh16hS8vb3f2qdPCY1hqWBiIaRn5ubmiI2NhZeXl9bxixcvwt/fH8+ePZMpGXs66cOaNWswYsQIhIaGomrVqjor8OS62nLr1i2UKlUKGo0Gt27deufYN7vSk/oVL14cU6ZMUVzD4teppU8fFTy8NaZnvr6+WL16tc5l3VWrVsHb21umVNkyMjJgZmamdaxw4cJIT0+XKdH7Xbt2DUuWLMH169cxc+ZMODo64q+//kKpUqVQsWJFueOhffv2ALS3Rci5+iLn1ZbXixsWOobn5cuX0ipGpXrzdh1RfmEhpGejR49G69atce3aNdSrVw9A9r36P/74Q9b5QYD6ejrt378fjRo1Qu3atXHgwAFMmDABjo6OiIuLw6JFi7Bu3Tq5I6qmb5sSGwGT/vTo0QMrV65UfMNi9ukjOfDWWD7Ytm0bfvzxR8TGxkrzWsLDw2Vfpqy2nk4BAQFo27YtBg4cqNWL6MSJE2jdujXu3Lkjd0RVeF8jYM7FKHj69++P5cuXo1KlSoptWKzUPn1U8LEQItWwsrLCmTNn4OHhodOUsXz58oppX3Hp0iXMmTNH+q22QoUK6Nu3r848MbkovREw5T01NCz29/dHUFBQrn36du7cyQKd9Ia3xkg17OzscP/+fZ2du0+fPo0SJUrIlErb+vXr0b59e1SrVg0BAQEAgGPHjsHHxwerVq1CmzZtZE6o/EbAlPfU0LD4woULWLNmjc7xbt26qappMKmPMtdIFyCZmZn46aefUKNGDTg7O6NIkSJaD/pw7du3x7Bhw5CYmAiNRoOsrCwcPnwYgwcPRufOneWOBwAYOnQoRowYgaNHj2L69OmYPn06jhw5gu+//x5Dhw6VOx4AoG3btorYd4nyT3JyMpKSknSOJyUlKaLhKvCqT9+b5O7TRwUfrwjp2dixY7Fw4UIMGjQIo0aNwsiRI3Hz5k1s3LiRk1I/0o8//og+ffrA1dUVmZmZ8Pb2RmZmJjp27IhRo0bJHQ8AcP/+/VyLsk6dOmHq1KkyJMqmtkbAlLfU0LC4Z8+e6NWrF65fv55rnz4ifeEcIT0rU6YMZs+ejSZNmsDa2hqxsbHSsWPHjmHlypVyR1Sd27dv48yZM0hNTYW/v79iNlMEgMaNG6Nt27Y6E9GXLFmCVatWYceOHbLkUlsjYMpbamhYrNQ+fVTw8YqQniUmJkq7SltZWSE5ORkA0LRpU8UvZVWanKaMrq6uWptAPnv2DFOnTlXEFbbmzZtj2LBhiImJQa1atQBkzxFau3Ytxo4di82bN2uNzS9qWdZP+vHixQtkZGToHE9PT5d1U9ccOX36OnbsiNDQUPbpo3zFK0J65uXlheXLl6NmzZr49NNP0bRpUwwfPhyrV69G37598fDhQ7kjqsbbmjI+evQIjo6OimgN8aGtSdjKgvKT0hsWA4CFhQUuXLjADT8p3/GKkJ61atUKUVFRqFmzJvr27YtOnTph0aJFSEhIQGhoqNzxVCVnd+Y3xcXFKWbiuRp2x1VyI2DSD6U3LAaAGjVq4PTp0yyEKN/xilA+O3r0KI4ePQpPT080a9ZM7jiqYG9vD41Gg+TkZNjY2GgVQ5mZmUhNTUXv3r0xb948GVOqh5IbAZP+KL1hsVL79FHBx0KIFG/ZsmUQQkj7idja2krnTExM4O7uLu3ZQ++n5EbAZLhyu62shD59VPDx1piePXr0CA4ODgCyVzv9+uuvePbsGZo3b47PPvtM5nTq0KVLFwDZK59q164NY2P+tf1fKLkRMOmP0hsWc0I/yYVXhPTkzJkzaNasGW7fvg1PT0+sWrUKDRs2RFpaGoyMjJCWloZ169ahZcuWckclA7Nlyxa0bt0aHTt2zLURMP9OFjxvNiy+cOECSpcujUmTJuHkyZOKaFhMJBcWQnrSqFEjGBsbY/jw4fjtt9+wdetWBAUF4ddffwUA9O3bFzExMTh27JjMSckQKbURMOmHWhoWK71PHxVMLIT0pGjRotizZw8qVaqE1NRU2NjYIDo6GlWrVgWQPR+jVq1aePLkibxBKc9lZWXh6tWrePjwoc4qsjp16siUigyZGhoWv61PX3R0tGL69FHBxMkWepKUlARnZ2cA2S9ClpaWsLe3l87b29tLm4ZRwXHs2DF07NgRt27dwpu/Y3DCJ8lFDQ2Lc/r0jRs3Tut4eHg4hg4dykKI9IZNV/XozT1vuEV83rlz545iLue/rnfv3qhWrRrOnj2LpKQkPH78WHrk1vRSDmwEbHjU0LD4XX367t+/L0MiMhS8IqRH33zzDUxNTQEAz58/R+/evaW9MV68eCFnNFXKysrChAkTMG3aNKSmpgLI3oJ/0KBBGDly5Afv6qxPV65cwbp161C2bFm5o7wVGwEbHjU0LP7iiy9w8OBBnX87hw4d4gpb0ivOEdKTN5tuvs2SJUv0nKTgGDFiBBYtWoSxY8eidu3aALJfJMeMGYOePXvihx9+kDkhUK9ePQwdOhQNGzaUO8pbsRGw4VJyw+KIiAiEhYXhq6++yrVPn4uLizQ2P/v0UcHHQohUw8XFBRERETovgps2bcJ3332Hu3fvypTslT///BOjRo3CkCFD4Ovri8KFC2udV8LuuJaWlrhw4QJKlSqF4sWLY9u2bahSpQquX78Of39/qTEwFRw5DYstLCy0jiupYTH79JFcWAiRapiZmSE+Ph7lypXTOn7p0iX4+fkpYkdkNeyOy0bAhkcNDYuJ5CL/pIoCqHfv3h88kXf16tVYsWKFnhMVDJUrV8bcuXN1js+dOxeVK1eWIZGuGzdu6DyuX78u/VcJchoBA9n7WY0ePRqenp7o3LkzunXrJnM60gc1NCwmkgsnS+tBsWLFULFiRdSuXRvNmjVDtWrV4OLiAjMzMzx+/Bjnz5/HoUOHsGrVKri4uGDBggVyR1aFKVOmoEmTJti9e7e0z8jRo0dx+/ZtbN++XeZ02dTQOXvSpEnS/7dr1w6lSpViI+ACKqdhsUajQbly5d7asJjIkPHWmJ48ePAACxcuxKpVq3D+/Hmtc9bW1ggMDESPHj0UPalWie7du4d58+bh4sWLALJ3nv3uu++0JlLK7dq1a5g5c6a0O663tzf69++PMmXKyJyMDA0bFhO9HwuhfPD48WMkJCTg2bNnKFq0KMqUKcM9hQqIU6dOoXLlyihUqBAAYMeOHWjevDn8/PyklW2HDx9GXFwctmzZgv/7v/+TMy4ANgI2RPv372fDYqK3YCFE9D+YMWMGduzYgfXr18PS0hL+/v4ICgrSuv0EAMOHD8fOnTtx6tQpmZKyETARUW5YCBH9j3788Uds2LABJ0+ehJmZGc6cOaOzP8vly5dRqVIlWXs6sREwKR379JEceJ2U6H/0/fffS7eUihUrhtjYWJ1CKDY2Vmfpcn6Ljo6WGgFXrlwZCxYswHfffSct+e/bt6+0kR1RfmOfPpILCyGiPJBTCPXs2RO9evXC9evX8cknnwDIniM0efJkDBw4UM6IbARMipbTp2/btm0oXrw451FSvuGtMaI8JITAzJkzMW3aNNy7dw9A9o7YQ4YMQb9+/WR9cTcyMsKDBw9QrFgxANmrF+Pj46WO5A8ePICLiwt/8y7gcvY4K1mypMxJtFlaWiIuLk7RffqoYGIhRKqybt06rFmzBgkJCXj58qXWOTknIucm5+qKtbW1zEmyGRkZoVGjRlIj4C1btqBevXpajYAjIyNZCBVAamhYrIY+fVQw8dZYPlDTm7eSzZ49GyNHjsQ333yDTZs2oWvXrrh27Rqio6PRp08fuePpUEoBlKNLly5aH3fq1ElnTOfOnfMrDuWjkSNHYtGiRZg0aZJOw+Lnz58romFx3759MWjQICQmJiq2Tx8VTLwipGevv3kvWLBA581bCS9AalG+fHmEh4ejQ4cOsLa2RlxcHEqXLo2wsDAkJSXl2n4jP1SpUgVRUVGwt7eHv7//O29/sfAlOaihYbEa+vRRwcQrQnr2888/Y8GCBejQoQOWLl2KoUOHar1504dLSEiQJiCbm5tLt56+/vpr1KpVS7ZCqEWLFtLtJu7BQ0qUlJSE8uXL6xwvX768Yl6Hbty4IXcEMlAshPRMqW/eauTs7IykpCS4ubmhVKlSOHbsGCpXrowbN27oLLfNT+Hh4bn+v5L07t0bo0aN+qAJsqtXr0ZGRgaCg4PzIRnlh5yGxbNnz9Y6rqSGxWro00cFEwshPVPqm7ca1atXD5s3b4a/vz+6du2K0NBQrFu3DidPnkTr1q3ljgcge6+erKws1KxZU+v48ePHUahQIVSrVk2WXGwEbNjU0LAYYJ8+kgfnCOlZjx494OrqivDwcMybNw9DhgxB7dq1pTfvRYsWyR1RNbKyspCVlSX1S1q1ahWOHDkCT09PfPvttzAxMZE5IVCjRg0MHToUX375pdbxDRs2YPLkyTh+/LhMydgI2NAprWGxGvv0UcHEQkjP1PDmTXnHysoK8fHxKF26tNbxGzduoFKlSorZsJCNgEluaurTRwUbCyFSjSVLlsDKygpt27bVOr527Vo8ffpUZ3m4HBwcHLB161bp9kOOI0eOoEmTJnj8+LFMyYiURy19+qhg4xwhPYiPj4ePjw+MjIwQHx//zrHcG+PDTZw4Eb/88ovOcUdHR/Tq1UsRhVCDBg0wYsQIbNq0Cba2tgCAJ0+e4Pvvv+elfaI3qKVPHxVsLIT0wM/PD4mJiXB0dISfn5+0F8abuDfGx0lISJDaQbzOzc0NCQkJMiTS9dNPP6FOnTpwc3ODv78/gOwXcicnJ/z2228ypyNSHjX06aOCjYWQHty4cUPq58S9MfKOo6Mj4uPj4e7urnU8Li4ODg4O8oR6Q4kSJRAfH48VK1YgLi4O5ubm6Nq1Kzp06KCzUy4RvTJ69GhYW1tj2rRpGDFiBIDsjSDHjBmDfv36yZyOCjLOEdKj9PR0fPvttxg9enSuVzLo4wwbNgyrV6/GkiVLUKdOHQDA/v370a1bN3z55Zf46aefZE5IRHlBaX36qGBjIaRntra2iI2NZSGUB16+fImvv/4aa9eulVbhZWVloXPnzoiIiFDUCrzz58/n2lvuzRYHRPmFPQ+JcsdCSM+6dOkCPz8/hIaGyh2lwLh8+bJ028nX11dRO9Jev34drVq1wpkzZ7TmhuUsTVfKnDC+KRoWpfY8ZJ8+UgLOEdIzT09PjBs3DocPH0bVqlVhaWmpdZ73vj9euXLlUK5cOblj5Kp///7w8PBAVFQUPDw8cOLECTx69AiDBg1SzK27198UN23apPOmSAWPUnsesk8fKQGvCOnZu26JaTQaXL9+PR/TqM/AgQMxfvx4WFpavnflyPTp0/Mp1dsVLVoUe/bsQaVKlWBra4sTJ07Ay8sLe/bswaBBg3D69Gm5I6J8+fIIDw9Hhw4dYG1tjbi4OK03Rfa/K3gsLCxw4cIFuLm5wdHREbt27ULlypVx5coV1KpVC48ePZI7IpFseEVIz7hq7H9z+vRppKenS///NkrZFTkzM1Oa4Fm0aFHcu3cPXl5ecHNzw6VLl2ROl42NgA2PGnoeKrVPHxV8LIRI0fbu3Zvr/yuVj48P4uLi4OHhgZo1a2LKlCkwMTHBggULdNpuyEUNb4qUt9TQsLhPnz4YOnSoTiF09+5d2fv0UcHGW2P54M6dO9i8eXOuE1OVcDuH8s6OHTuQlpaG1q1b4+rVq2jatCkuX74MBwcHrF69GvXq1ZM7IhsBGyA19DxUS58+KnhYCOlZVFQUmjdvjtKlS+PixYvw8fHBzZs3IYRAlSpVsGfPHrkjqkZaWhomTZqEqKgoPHz4EFlZWVrnlTrfKikpCfb29oq5faeGN0UyPOzTR3JhIaRnNWrUQKNGjTB27FhpYqqjoyOCg4PRsGFD/Oc//5E7omp06NAB+/fvx9dff43ixYvrFBb9+/eXKdkrycnJyMzMRJEiRbSOJyUlwdjYGDY2NjIlI0OmhobFHTp0wP3793X69LVs2RKOjo5Ys2aNzAmpoGIhpGfW1taIjY1FmTJlYG9vj0OHDqFixYqIi4tDixYtcPPmTbkjqoadnR22bduG2rVryx3lrRo1aoRmzZrhu+++0zoeERGBzZs3Y/v27bLkYiNgw1auXDn88ssvqFu3rtbx/fv3o1evXoqYyH/37l3UqVMHjx490unTt2vXLri6usqckAoqTpbWM0tLS2leUPHixXHt2jVUrFgRAPDPP//IGU117O3tda60KM3x48dznff1xRdfYOTIkTIkysZGwIZNDQ2L2aeP5MJCSM9q1aqFQ4cOoUKFCmjcuDEGDRqEM2fOYMOGDahVq5bc8VRl/PjxCAsLw7Jly2BhYSF3nFy9ePECGRkZOsfT09Px7NkzGRJlYyNgw6aGhsVA9i+OvXr1kjsGGRgWQno2ffp0pKamAgDGjh2L1NRUrF69Gp6enlwx9pGmTZuGa9euwcnJCe7u7jq/JSphC/4aNWpgwYIFmDNnjtbxiIgIVK1aVaZUkNqQpKenY+zYsWwEbGA6dOiAfv36wdraWqthcf/+/dG+fXuZ02ljnz7Kb5wjRKoxduzYd54PDw/PpyRvd/jwYQQGBqJ69eqoX78+gOyVg9HR0di5cyc+++wzmROyEbAhUkPDYrX06aOCh4UQUR6LjY3F1KlTERsbC3Nzc1SqVAkjRoyAp6en3NEAsBGwIVNyw+JmzZqhUKFCWLhwYa59+pTwSwQVTCyE9OBj9oyRs+Gh2nAL/rwxYcIETJs2DfXr12cjYFIMNfTpo4KJc4T0YObMmdL/P3r0CBMmTEBQUJC0UdjRo0exY8cOjB49WqaE6qSGLfjftwKnVKlS+ZTk7RYtWgQ7OzvExMQgJiZG65xGo2EhVECorWGxGvr0UcHEQkgPXt+crE2bNhg3bhxCQkKkY/369cPcuXOxe/du3p74COfPn0eVKlV0jvv7++P8+fMyJNLl7u7+zquBSpjnwFVjhkFtDYvV0KePCibeGtMzKysrxMbGomzZslrHr169Cj8/P2lFGb2fGrbgj4uL0/o4PT0dp0+fxvTp0/HDDz8opsEl0f9r796Dorjyt4E/M4jITRRES4ziBUVRAddrigjqYkRwFSXZDUqURdZguUmMqBiTKOKKxEvF0uwao8NFQ/DCqqi4JEYFL6uuRBGCsiiCWgpYUVHAEF3t9w9eWoYeLv7i0DPTz6dqqjKnT/d8ZybFHPuc7sfQGENOH5kmDoT0zNnZGR988AEiIyO12tevX4+NGzfixo0bMlVmfIz5Fvzp6elYu3YtMjMz5S4FAIOAyTgYWk4fmSZOjenZihUrEB4ejszMTHFty7lz55CRkYGtW7fKXJ1xWbduHby9veHs7Cy5Bf+OHTtkrq5prq6uOH/+vNxlAGg+CJhMjzEEFuvK6bO3t2dOH+kdzwi1gnPnzmHjxo24cuUKAGDAgAH44IMPJIt+qXnV1dVat+B3d3c3qFvwP3r0SOu5IAgoLS1FdHQ0CgoKkJOTI09h9TAIWHmMIbDYUHP6yPRxIET0CqnVasmPjCAI6N69O3bu3ClZ3yQHBgErjzEEFtvb2+P06dMYMGCAVntBQQG8vLxw7949mSojU8epsVbw/PlzXLt2Tecp6brb3VPL7NixA1u2bMH169dx5swZODs744svvkDv3r0xZcoUucvD8ePHtZ6r1Wo4OjrCxcVFvKOv3BgErDzGEFhsqDl9ZPoM4y+zCTt79iymT5+OGzduSNK+mfTdtO+++w6jRo0SF0Zv3rwZy5Ytw/z58/G3v/1N/Ow6duyIDRs2GMRAyMfHR+4SmsUgYOUxhsBiQ83pI9PHqTE98/T0RL9+/bBixQqdc/N1P/IklZSUhLVr1yIjIwOvvfYa3NzcEBsbi8DAQHFtS+/evfHTTz9hzJgxsp3NOHDgQIv7GkJw5PXr11FVVQV3d3dUV1cjMjIS//73v8UgYEOKXaBXY8iQISgqKoIgCAYbWGwMOX1kmjgQ0jNra2tcunRJch8hapl//vOfWLZsGfLz82FpaYmCggI4OztrDYSuXr0Kd3d32U6fq9Vqref1AyPrntfhGUCSgzEEFgOGn9NHpolTY3o2cuRIXLt2jQOh/6OgoCB4enoCAHr16oWcnBzJGYuMjAzJAsvWVH/d1w8//ICoqCjExsZqRap8+umniI2NlatEUjhDGeg0x9PTE8nJyXKXQQrDgZCevf/++4iMjERZWRkGDx4sOSXt7u4uU2XGIzk5GQsXLsSCBQswb9481NTUQBAE/Oc//0FKSgpWr16Nbdu2yV0mAGD+/Pn46quv8MYbb4htEyZMgJWVFebMmSPeQqG1MQhY2YwhsNgYcvrINHFqTM8aTpsAL6ZOuFi6ZczMzFBaWorOnTsjOTkZ0dHRKCoqAgA4OTlhxYoVmD17tsxV1rK0tMT58+cxaNAgrfbc3FyMHDlStum7pKQk8b+bCwJm/p3pGTFiBBYvXoy33npLq33v3r0GE1is69YT9fFvJekLB0J61lyEBhemNk+tVqOsrAydO3cW2x4/foyqqiqtNkPg7e2Ndu3aYceOHejSpQsAoLy8HDNnzkRNTQ2ysrJkrrB2unHs2LFaQcAAxCDg/fv3y1MY6Y2NjQ1yc3Ml4aXFxcVwd3dHZWWlTJW9wJw+kgsHQmTw1Go1ysvL4ejoKHcpzbp27RqmTp2KwsJCdO/eHQBw69Yt9O3bF/v37zeItWIMAlYeYwgsboyh5fSR6eEaIT3bvn17k9tnzpzZSpUYt379+jW7xsUQ1ra4uLggNzcXR44cQUFBAYDaSBVfX1+DCY50cHBAWlqaJAg4LS0NDg4OMlVF+vTmm2/i448/lgQWL126FOPHj5e5uqYZUk4fmSaeEdKzjh07aj1/+vQpHj9+jLZt28LKysogfrwNnVqtxoYNG5q959KsWbNaqSLjlpiYiPDwcEycOFFnEHBoaKi8BdIrd/v2bXh7e+PevXuSwOIjR46IZy/lZAw5fWSaOBCSwdWrVzF37lwsWrQIEyZMkLscg6drjZCh8ff3R0pKijhYi4uLQ0REBDp06ACgdoHy6NGjcfnyZRmrfIFBwMpj6IHFxpDTR6aJAyGZZGdnIyQkRJw+ocbVv2rMUDWssX379sjJyREXp5aXl8PJyYlXvhA1ouGFBIaY00emif93yaRNmza4c+eO3GUYBWMYqzes0dBrZhCw8hh6YLEx5PSRaeJASM8a5lDVzXt/+eWX8PLykqkq49Lwh5p+GwYBmz5jCSw2tpw+Mk0cCOlZYGCg1nOVSgVHR0eMGzcO69evl6coeuVUKpVkfYOhXCXWUEREBIYNG4b09HSdQcBk/MrKyuDl5SUGFm/atAlbt25FYGAg4uLixH7Dhg3DwoULZatT199H5vRRa+NASM94NkMZBEFAaGgoLCwsAAA1NTWIiIiAtbU1AODXX3+VszwtV69eRWpqqkHc04j0Y9asWbCxscGECROQn5+P4uJi8Wqx+iwsLFBdXS1DhbWY00eGgAMholeg4aX7ISEhkj6Gcs8oBgErgzEEFtdnqDl9ZPo4ENKzoKAgjBgxAlFRUVrta9aswfnz57Fnzx6ZKqNXKSEhQe4SWoxBwMphTIHFRUVF4u0m6rOzs0NJSUmr10PKwcvn9czR0RHHjh3D4MGDtdrz8vLg6+uL8vJymSojpWIQsHIYU2CxMeT0kWniGSE9q6qqQtu2bSXt5ubmkjupErWG4uJiuUugVlL/37kzZszAjBkzDDawOD4+HlOnTkWPHj105vQR6QsHQno2ePBg7Nq1C8uWLdNq37lzJ9zc3GSqipSs4ToRMm0Nrwq0srKClZWVTNU0zhhy+sg0cWpMzw4ePIhp06Zh+vTpGDduHADg6NGjSElJwZ49eySXjxLpG4OAlUOtVsPOzs4oAouJ5MKBUCtIT09HbGwscnJyxIyf5cuX806qJAsGASuHMQQWG1tOH5keDoSIiEHAJsoYAouZ00dyk14+Qq9cRUUFtm3bhqVLl4r/2r5w4QJu374tc2VEtfr27Yu4uDh8+OGHcpdCr5AxrK0xtpw+Mj1cLK1nubm58PX1Fe+FER4eDnt7e+zduxc3b95sdr0GUWthELDp4aCCqHkcCOnZggULEBoaijVr1sDW1lZs9/f3x/Tp02WsjJSKQcDKYQwRP8aU00emiQMhPTt//jy2bNkiae/WrRvKyspkqIiUjkHAZEiMKaePTBMHQnpmYWGh88aJhYWFcHR0lKEiUjpjOEtAymFMOX1kmnjVmJ6Fh4fj3r172L17N+zt7ZGbmwszMzMEBgbC29sbGzZskLtEIiIixeJVY3q2fv168Xb2v/zyC3x8fODi4gJbW1usWrVK7vJIgYKCgvD5559L2tesWYO3335bhoqIiOTDM0Kt5PTp07h06RKqqqrwu9/9Dr6+vnKXRArFIGAiohe4RqiVeHl58YocMggMAiYieoFTY3py5swZHDp0SKtt+/bt6NWrFzp37ow5c+bwagiSRV0QcEMMAiYiJeIZIT2JiYnBmDFjMGnSJAC10w6zZ89GaGgoBgwYgLVr18LJyQnR0dHyFkqK89lnn2HatGkoKirSGQRMRKQkXCOkJ127dsXBgwcxbNgwAMAnn3yCrKwsnDp1CgCwZ88eLF++nEGCJAsGARMR1eIZIT158OABunTpIj7PysrCxIkTxefDhw/HrVu35CiNCAEBAQgICJC7DCIi2XGNkJ506dIFxcXFAIAnT57gwoULGDVqlLi9srIS5ubmcpVHCscgYCKiWjwjpCf+/v5YsmQJPv/8c+zfvx9WVlYYPXq0uD03Nxd9+vSRsUJSKgYBExG9wDNCerJy5Uq0adMGPj4+2Lp1K7Zu3ap1yXJ8fDzefPNNGSskpaoLAr569SratWsntvv7++PEiRMyVkZE1Pq4WFrPHj58CBsbG5iZmWm1379/HzY2Njrv50KkT3Z2drhw4QL69OkDW1tbXLp0Cb1798aNGzfg6uqKmpoauUskImo1nBrTMzs7O53t9vb2rVwJUS0GARMRvcCpMSKFmTx5MmJiYvD06VMAgEqlws2bNxEVFYWgoCCZqyMial2cGiNSmIcPH+Ktt95CdnY2Kisr4eTkhLKyMrz++us4fPgwrK2t5S6RiKjVcCBEpFAMAiYi4kCIiIiIFIxrhIgUgkHARERSHAgRKURMTAzy8/PF53VBwL6+vliyZAkOHjyI1atXy1ghEVHr49QYkUIwCJiISIpnhIgUgkHARERSHAgRKQSDgImIpDgQIlKIuiDgkydP4uOPP2YQMBERGLFBpBgrV67EtGnT4OPjAxsbGyQlJTEImIgUj4uliRSGQcBERC9wIERERESKxTVCREREpFgcCBEREZFicSBEREREisWBEBERESkWB0JERiI0NBQqlUryuHbtGgBg9erVMDMzw9q1ayX7JiYmQqVSYcCAAZJte/bsgUqlQs+ePbX6d+jQoUV11R274aNdu3Y6azc3N0eXLl0wfvx4xMfH4/nz51rHU6lU2L9/v873HxgYqNV27do1/PnPf8Zrr70GCwsL9OrVC8HBwcjOzpbs/95778HMzAx79uzR+T5acixdtR06dAg+Pj6wtbWFlZUVhg8fjsTERK0+JSUlUKlU6Ny5MyorK7W2eXp6Ijo6Wnw+ZswYqFQqxMXFSWoMCAiASqXS6l8nJSUFZmZmmDdvnmRbZmam+Pmr1WrY2dlhyJAhWLx4MUpLS7X6RkdHi33NzMzQvXt3zJkzB/fv39fq17NnT53fu666iQwZB0JERsTPzw+lpaVaj169egGovQ/Q4sWLER8fr3Nfa2tr3L17F2fOnNFq12g06NGjx2+qq3379pK6bty4obP2kpIS/Otf/8LYsWPx4YcfYtKkSfjf//730q+ZnZ2NoUOHorCwEFu2bMHly5exb98+9O/fH5GRkVp9Hz9+jJ07dzb6+bzMserbtGkTpkyZAi8vL5w7dw65ubl45513EBERgYULF0r6V1ZWYt26dc2+t+7du0sGU7dv38bRo0fRtWtXnftoNBosXrwYKSkpqKmp0dnnv//9L+7cuYPz588jKioKP/zwAwYNGoS8vDytfgMHDkRpaSlu3ryJhIQEZGRkYO7cuZLjxcTESL73999/v9n3R2RQBCIyCrNmzRKmTJmic1tmZqbQrVs34cmTJ4KTk5Nw+vRpre0JCQmCnZ2d8Ne//lUIDw8X22/duiVYWFgIS5YsEZydnSX9W6IlfRur/ejRowIAYevWrWIbAGHfvn1NHuP58+fCwIEDhaFDhwrPnj2T9H3w4IHW88TERGHUqFFCRUWFYGVlJdy8eVPc9jLHql/bzZs3BXNzc2HBggWSfTZu3CgAEM6ePSsIgiAUFxcLAIRFixYJNjY2Qnl5udjXw8NDWL58ufjcx8dHmDt3ruDg4CCcOnVKbF+1apXwhz/8QdJfEATh+vXrgqWlpVBRUSGMHDlSSE5O1tp+/PhxAYDkc3n8+LHg6uoqeHl5iW3Lly8XPDw8tPotWLBA6Nixo1abs7Oz8MUXX0jeO5Gx4RkhIhOg0WgQHBwMc3NzBAcHQ6PR6OwXFhaG3bt34/HjxwBqp7X8/Py0wlhb07hx4+Dh4YG9e/e+1H45OTnIz89HZGQk1Grpn7GG03oajQYhISGws7PDxIkTtc62vOyx6qSmpuLp06c6z/y89957sLGxQUpKilZ7cHAwXFxcEBMT0+T7a9u2LWbMmIGEhASxLTExEWFhYTr7JyQkICAgAHZ2dggJCWn0+2/I0tISEREROH36NO7evauzT0lJCb777jveaJNMFgdCREbk0KFDsLGxER9vv/02Hj16hNTUVISEhAAAQkJCsHv3blRVVUn2HzJkCHr37o3U1FQIgtDkj+vLqLtbdf1H/WT7pvTv3x8lJSUv9XpXr14V921J37Nnz+JPf/oTgNrPJyEhAcL/v5fsyxyrvsLCQtjZ2emcqmrbti169+6NwsJCrfa6NTRff/01ioqKmjx+3aC1uroaJ06cwMOHDzFp0iRJv+fPnyMxMVH8/t955x2cOnVKDNhtTt37rv8d5OXlwcbGBpaWlujVqxfy8/MRFRUl2TcqKkryvZ88ebJFr0tkKJg1RmRExo4di82bN4vPra2tkZKSgj59+sDDwwNA7eJbZ2dn7Nq1C7Nnz5YcIywsDAkJCejRoweqq6vh7++PL7/88jfVZWtriwsXLmi1WVpatmhfQRCgUqle6vWEl7ghfnx8PCZMmIBOnToBqA2fnT17No4dO4bf//73L3WsV2HChAl444038Nlnn+Hbb79ttJ+Hhwf69u2L1NRUHD9+HO+++y7atJH+yT5y5Ij4PQJAp06dxIXoK1eubLaeuvdf/ztwdXXFgQMHUFNTg2+++QY5OTk61/4sWrQIoaGhWm3dunVr9jWJDAnPCBEZEWtra7i4uIiPrl27QqPRID8/H23atBEfly9fbnTR9IwZM3D27FlER0c3+uP6stRqtVZdLi4uLf5BvHLlirjgG6gdVD18+FDSr6KiAnZ2dgCAfv36AQAKCgqaPPazZ8+QlJSE9PR08bOxsrLC/fv3xc+npcdqqF+/fnj48CHu3Lkj2fbkyRMUFRWJx24oLi4Ou3btwsWLF5t8jbCwMPz9739Hampqo2fuNBoN7t+/D0tLS/E9Hj58GElJSZIr8nS5cuUKAGhdNdi2bVu4uLhg0KBBiIuLg5mZGVasWCHZt1OnTpLvvaUDYCJDwYEQkRHLy8tDdnY2MjMzkZOTIz4yMzNx5swZnT/u9vb2mDx5MrKysl7JtNhvcezYMeTl5SEoKEhsc3V1xY8//qjV79mzZ7h06ZI4sPD09ISbmxvWr1+v88e+oqICAHD48GFUVlbi4sWLWp9PSkoK9u7di4qKihYfq6GgoCCYm5tj/fr1km1fffUVqqurERwcrHPfESNGYNq0aViyZInO7XWmT5+OvLw8DBo0CG5ubpLt9+7dQ1paGnbu3Kn1/i5evIgHDx7g+++/b/L4v/zyC77++mt4e3vD0dGx0X6ffvop1q1bp3PQR2TsODVGZMQ0Gg1GjBgBb29vybbhw4dDo9E0el+hf/zjH3BwcHgldQiCgLKyMkl7586dxQXIv/76K8rKyvDs2TOUl5cjIyMDq1evxqRJkzBz5kxxnwULFmD27Nno378/xo8fj+rqamzatAkPHjxAeHg4gNppnISEBPj6+mL06NH45JNP0L9/f1RVVeHgwYP4/vvvkZWVBY1Gg4CAAHHasI6bmxs++ugjJCcnY968eS06VkM9evTAmjVrEBkZiXbt2uHdd9+Fubk50tLSsHTpUkRGRmLkyJGNfmarVq3CwIEDmzwj17FjR5SWlsLc3Fzn9h07dsDBwQF//OMfJdOL/v7+0Gg08PPzE9vu3r2LmpoaVFZW4scff8SaNWvw888/N7tY/fXXX4e7uztiY2O1plErKysl37uVlRXat2/f5PGIDAnPCBEZqSdPnuCbb77ROptSX1BQELZv346nT59KtllaWr6yQRAAPHr0CF27dpU86l+JlJGRga5du6Jnz57w8/PD8ePHsXHjRqSlpcHMzEzsFxwcjG3btiE+Ph5Dhw6Fn58fysrKcOLECa2r20aMGIHs7Gy4uLjgL3/5CwYMGIDJkycjPz8fGzZsQHl5OdLT03V+Pmq1GlOnThWvrmruWI2ZP38+9u3bh5MnT2LYsGEYNGgQvv32W2zevLnZ+wX169cPYWFhjd7zp06HDh1gbW2tc1t8fDymTp2qc41VUFAQDhw4gJ9//llsc3V1hZOTE4YOHYq4uDj4+vrip59+0nm2qaGPPvoI27Ztw61bt8S2ZcuWSb7zxYsXN3ssIkOiElp7pSARERGRgeAZISIiIlIsDoSIqEkDBw6U3Cum7pGcnCx3eUREvwmnxoioSTdu3NC5zggAunTpAltb21auiIjo1eFAiIiIiBSLU2NERESkWBwIERERkWJxIERERESKxYEQERERKRYHQkRERKRYHAgRERGRYnEgRERERIrFgRAREREp1v8DGIX4ba23OqYAAAAASUVORK5CYII=\n"},"metadata":{}}]},{"cell_type":"code","source":["z.ESTU_VALORMATRICULAUNIVERSIDAD.value_counts().plot(kind='bar')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":739},"id":"oyevcxDz74xt","executionInfo":{"status":"ok","timestamp":1724112793192,"user_tz":300,"elapsed":731,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"f30507fa-0c25-4766-ebe9-c265627cd05a"},"execution_count":12,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Axes: xlabel='ESTU_VALORMATRICULAUNIVERSIDAD'>"]},"metadata":{},"execution_count":12},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## Inspect visually if these two columns have distinctive behaviour with respect to what we want to predict"],"metadata":{"id":"PJu4kNBKJTYp"}},{"cell_type":"code","source":["from rlxutils import subplots\n","import matplotlib.pyplot as plt\n","\n","c = sorted(z.ESTU_VALORMATRICULAUNIVERSIDAD.value_counts().index)\n","for ax,ci in subplots(c, n_cols=4, usizex=4):\n","    zc = z[z.ESTU_VALORMATRICULAUNIVERSIDAD==ci]\n","    zc.RENDIMIENTO_GLOBAL.value_counts()[['bajo', 'medio-bajo', 'medio-alto', 'alto']].plot(kind='bar')\n","    plt.title(ci)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":552},"id":"qh8KK2HtJctU","executionInfo":{"status":"ok","timestamp":1724112797376,"user_tz":300,"elapsed":2913,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"14f69e9e-b1ba-4d47-ad01-70452fcba4c8"},"execution_count":13,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1600x600 with 8 Axes>"],"image/png":"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= sorted(z.FAMI_EDUCACIONMADRE.value_counts().index)\n","for ax,ci in subplots(c, n_cols=4, usizex=4):\n","    zc = z[z.FAMI_EDUCACIONMADRE==ci]\n","    zc.RENDIMIENTO_GLOBAL.value_counts()[['bajo', 'medio-bajo', 'medio-alto', 'alto']].plot(kind='bar')\n","    plt.title(ci)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":827},"id":"EoibNkcpJcqx","executionInfo":{"status":"ok","timestamp":1724112801910,"user_tz":300,"elapsed":3471,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"49b5209e-e3c3-4aab-d949-ae9b2e6f8894"},"execution_count":14,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1600x900 with 12 Axes>"],"image/png":"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Basic cleanup\n","\n","considering that we have in total 692K data items, we have realatively few missing values on each column"],"metadata":{"id":"pGIjT0Si-4HA"}},{"cell_type":"code","source":["sum(z.FAMI_EDUCACIONMADRE.isna()), sum(z.ESTU_VALORMATRICULAUNIVERSIDAD.isna())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"N2KHJwB7742V","executionInfo":{"status":"ok","timestamp":1724112804046,"user_tz":300,"elapsed":278,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"7a1fbfe5-fd1f-44cc-95bb-7b4e97c17bc8"},"execution_count":15,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(23664, 6287)"]},"metadata":{},"execution_count":15}]},{"cell_type":"markdown","source":["we will substitute `nan` values with a preset symbol to mark them"],"metadata":{"id":"9wI4XLK8_NsA"}},{"cell_type":"code","source":["z.FAMI_EDUCACIONMADRE.values[z.FAMI_EDUCACIONMADRE.isna()] = 'no info'\n","z.ESTU_VALORMATRICULAUNIVERSIDAD.values[z.ESTU_VALORMATRICULAUNIVERSIDAD.isna()] = 'no info'\n","sum(z.FAMI_EDUCACIONMADRE.isna()), sum(z.ESTU_VALORMATRICULAUNIVERSIDAD.isna())"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"FSFAcLTD749u","executionInfo":{"status":"ok","timestamp":1724112806495,"user_tz":300,"elapsed":656,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"08a63d34-3d6f-4516-cca9-42a2e92ab55d"},"execution_count":16,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(0, 0)"]},"metadata":{},"execution_count":16}]},{"cell_type":"markdown","source":["### Cleaning `ESTU_VALORMATRICULAUNIVERSIDAD`\n","\n","we convert `ESTU_VALORMATRICULAUNIVERSIDAD` to a **continuous** value since the ordering makes sense and we would like models to have a chance to capture it.\n","\n","observe we assign `no info` to -1, which is somewhat artificial in this case"],"metadata":{"id":"EZKt7hNw_7cK"}},{"cell_type":"code","source":["cmap = {'Entre 1 millón y menos de 2.5 millones': 1.75,\n"," 'Entre 2.5 millones y menos de 4 millones': 3.25,\n"," 'Menos de 500 mil': .250,\n"," 'Entre 500 mil y menos de 1 millón': .75,\n"," 'Entre 4 millones y menos de 5.5 millones': 4.75,\n"," 'Más de 7 millones': 7.75,\n"," 'Entre 5.5 millones y menos de 7 millones': 6.25,\n"," 'No pagó matrícula': 0,\n"," 'no info': -1}\n","\n","z.ESTU_VALORMATRICULAUNIVERSIDAD = np.r_[[cmap[i] for i in z.ESTU_VALORMATRICULAUNIVERSIDAD]]\n","z.ESTU_VALORMATRICULAUNIVERSIDAD.value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":398},"id":"V4_DTr_975D2","executionInfo":{"status":"ok","timestamp":1724112808780,"user_tz":300,"elapsed":525,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"3b227427-d5b2-47c8-c009-5bf9abfd2df3"},"execution_count":17,"outputs":[{"output_type":"execute_result","data":{"text/plain":["ESTU_VALORMATRICULAUNIVERSIDAD\n"," 1.75    204048\n"," 3.25    127430\n"," 0.25     80263\n"," 0.75     78704\n"," 4.75     69736\n"," 7.75     68014\n"," 6.25     38490\n"," 0.00     19528\n","-1.00      6287\n","Name: count, dtype: int64"],"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>count</th>\n","    </tr>\n","    <tr>\n","      <th>ESTU_VALORMATRICULAUNIVERSIDAD</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1.75</th>\n","      <td>204048</td>\n","    </tr>\n","    <tr>\n","      <th>3.25</th>\n","      <td>127430</td>\n","    </tr>\n","    <tr>\n","      <th>0.25</th>\n","      <td>80263</td>\n","    </tr>\n","    <tr>\n","      <th>0.75</th>\n","      <td>78704</td>\n","    </tr>\n","    <tr>\n","      <th>4.75</th>\n","      <td>69736</td>\n","    </tr>\n","    <tr>\n","      <th>7.75</th>\n","      <td>68014</td>\n","    </tr>\n","    <tr>\n","      <th>6.25</th>\n","      <td>38490</td>\n","    </tr>\n","    <tr>\n","      <th>0.00</th>\n","      <td>19528</td>\n","    </tr>\n","    <tr>\n","      <th>-1.00</th>\n","      <td>6287</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":17}]},{"cell_type":"markdown","source":["### Cleaning `FAMI_EDUCACIONMADRE`\n","\n","observe that for `FAMI_EDUCACIONMADRE` there could be many choices on how to deal with missing data\n","\n","- leave it as it is\n","- unite `no info`, `No sabe` , `No Aplica` into a single symbol\n","- etc.\n","\n","since there are not so many `No sabe`, `No aplica` probably they wont have much effect on the final result so we will unite them into a single value so that there are not so many columns in the one hot encoding\n"],"metadata":{"id":"ciT6EcTdCtBb"}},{"cell_type":"code","source":["z = z.copy()\n","z.FAMI_EDUCACIONMADRE = ['no info' if i in ['No sabe', 'No Aplica'] else i for i in z.FAMI_EDUCACIONMADRE.values]"],"metadata":{"id":"eT6Za_S5DNcm","executionInfo":{"status":"ok","timestamp":1724112810943,"user_tz":300,"elapsed":270,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}}},"execution_count":18,"outputs":[]},{"cell_type":"code","source":["z.FAMI_EDUCACIONMADRE.value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":460},"id":"IDRnIZznC1DS","executionInfo":{"status":"ok","timestamp":1724112812313,"user_tz":300,"elapsed":284,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"fb06b2ba-894c-490f-899a-6b7f9b4164fe"},"execution_count":19,"outputs":[{"output_type":"execute_result","data":{"text/plain":["FAMI_EDUCACIONMADRE\n","Secundaria (Bachillerato) completa      141744\n","Primaria incompleta                      99420\n","Técnica o tecnológica completa           89542\n","Educación profesional completa           85326\n","Secundaria (Bachillerato) incompleta     81012\n","Primaria completa                        56125\n","Postgrado                                46246\n","no info                                  28599\n","Técnica o tecnológica incompleta         27533\n","Educación profesional incompleta         22470\n","Ninguno                                  14483\n","Name: count, dtype: int64"],"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>count</th>\n","    </tr>\n","    <tr>\n","      <th>FAMI_EDUCACIONMADRE</th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Secundaria (Bachillerato) completa</th>\n","      <td>141744</td>\n","    </tr>\n","    <tr>\n","      <th>Primaria incompleta</th>\n","      <td>99420</td>\n","    </tr>\n","    <tr>\n","      <th>Técnica o tecnológica completa</th>\n","      <td>89542</td>\n","    </tr>\n","    <tr>\n","      <th>Educación profesional completa</th>\n","      <td>85326</td>\n","    </tr>\n","    <tr>\n","      <th>Secundaria (Bachillerato) incompleta</th>\n","      <td>81012</td>\n","    </tr>\n","    <tr>\n","      <th>Primaria completa</th>\n","      <td>56125</td>\n","    </tr>\n","    <tr>\n","      <th>Postgrado</th>\n","      <td>46246</td>\n","    </tr>\n","    <tr>\n","      <th>no info</th>\n","      <td>28599</td>\n","    </tr>\n","    <tr>\n","      <th>Técnica o tecnológica incompleta</th>\n","      <td>27533</td>\n","    </tr>\n","    <tr>\n","      <th>Educación profesional incompleta</th>\n","      <td>22470</td>\n","    </tr>\n","    <tr>\n","      <th>Ninguno</th>\n","      <td>14483</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div><br><label><b>dtype:</b> int64</label>"]},"metadata":{},"execution_count":19}]},{"cell_type":"markdown","source":["first we create the onehot mapping"],"metadata":{"id":"KD0WgaxGERvw"}},{"cell_type":"code","source":["x = z.FAMI_EDUCACIONMADRE.values\n","FAMI_EDUCACIONMADRE_vals = sorted(np.unique(x))\n","FAMI_EDUCACIONMADRE_onehot_vals = {val: np.eye(len(FAMI_EDUCACIONMADRE_vals))[i] for i,val in enumerate(FAMI_EDUCACIONMADRE_vals)}\n","FAMI_EDUCACIONMADRE_onehot_vals"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jc8RhTY7CXqn","executionInfo":{"status":"ok","timestamp":1724112814766,"user_tz":300,"elapsed":303,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"1bb47ef8-6230-4afc-cf63-2e053d9c4551"},"execution_count":20,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'Educación profesional completa': array([1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]),\n"," 'Educación profesional incompleta': array([0., 1., 0., 0., 0., 0., 0., 0., 0., 0., 0.]),\n"," 'Ninguno': array([0., 0., 1., 0., 0., 0., 0., 0., 0., 0., 0.]),\n"," 'Postgrado': array([0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.]),\n"," 'Primaria completa': array([0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.]),\n"," 'Primaria incompleta': array([0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.]),\n"," 'Secundaria (Bachillerato) completa': array([0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.]),\n"," 'Secundaria (Bachillerato) incompleta': array([0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.]),\n"," 'Técnica o tecnológica completa': array([0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.]),\n"," 'Técnica o tecnológica incompleta': array([0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.]),\n"," 'no info': array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.])}"]},"metadata":{},"execution_count":20}]},{"cell_type":"code","source":["FAMI_EDUCACIONMADRE_onehot_enc = np.r_[[FAMI_EDUCACIONMADRE_onehot_vals[i] for i in z.FAMI_EDUCACIONMADRE]]\n","FAMI_EDUCACIONMADRE_onehot_enc"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"l-4lr1LpBHZS","executionInfo":{"status":"ok","timestamp":1724112817245,"user_tz":300,"elapsed":1036,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"fe0e7255-a48d-44d4-f9ba-c0ca97ef1930"},"execution_count":21,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[0., 0., 0., ..., 0., 0., 0.],\n","       [0., 0., 0., ..., 0., 1., 0.],\n","       [0., 0., 0., ..., 0., 0., 0.],\n","       ...,\n","       [0., 0., 0., ..., 0., 0., 0.],\n","       [0., 0., 0., ..., 0., 0., 0.],\n","       [0., 0., 0., ..., 1., 0., 0.]])"]},"metadata":{},"execution_count":21}]},{"cell_type":"code","source":["FAMI_EDUCACIONMADRE_df = pd.DataFrame(FAMI_EDUCACIONMADRE_onehot_enc, columns=[f\"FAMI_EDUCACIONMADRE__{v}\" for v in FAMI_EDUCACIONMADRE_onehot_vals])\n","FAMI_EDUCACIONMADRE_df"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":461},"id":"loQn1LjyFm7S","executionInfo":{"status":"ok","timestamp":1724112818487,"user_tz":300,"elapsed":291,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"1f26ec77-957a-4382-87dd-d9854b9984df"},"execution_count":22,"outputs":[{"output_type":"execute_result","data":{"text/plain":["        FAMI_EDUCACIONMADRE__Educación profesional completa  \\\n","0                                                     0.0     \n","1                                                     0.0     \n","2                                                     0.0     \n","3                                                     0.0     \n","4                                                     0.0     \n","...                                                   ...     \n","692495                                                0.0     \n","692496    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'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","\n","    </div>\n","  </div>\n"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"dataframe","variable_name":"z"}},"metadata":{},"execution_count":25}]},{"cell_type":"markdown","source":["## build `X` and `y` for training a model\n","\n","observe we sort columns to make sure we always get the same ordering"],"metadata":{"id":"Lqlk3IUCHhLj"}},{"cell_type":"code","source":["z = z[sorted(z.columns)]\n","\n","X = z[[c for c in z.columns if c!=y_col]].values\n","y = z[y_col].values\n","X.shape, y.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"NOy3ONXWGGE_","executionInfo":{"status":"ok","timestamp":1724112830839,"user_tz":300,"elapsed":249,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"42f8a628-7545-4d9a-ed4f-d9bacf732993"},"execution_count":26,"outputs":[{"output_type":"execute_result","data":{"text/plain":["((692500, 12), (692500,))"]},"metadata":{},"execution_count":26}]},{"cell_type":"markdown","source":["## split into train and test"],"metadata":{"id":"xwm6FC2NISe-"}},{"cell_type":"code","source":["from sklearn.model_selection import train_test_split"],"metadata":{"id":"spMLWRN0IOPk","executionInfo":{"status":"ok","timestamp":1724112849915,"user_tz":300,"elapsed":979,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}}},"execution_count":27,"outputs":[]},{"cell_type":"code","source":["Xtr, Xts, ytr, yts = train_test_split(X,y, train_size=0.8)\n","Xtr.shape, Xts.shape, ytr.shape, yts.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"fT4ROq10IOUP","executionInfo":{"status":"ok","timestamp":1724112851535,"user_tz":300,"elapsed":604,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"51711a2d-e6b5-488d-9e7a-98d517b38f7e"},"execution_count":28,"outputs":[{"output_type":"execute_result","data":{"text/plain":["((554000, 12), (138500, 12), (554000,), (138500,))"]},"metadata":{},"execution_count":28}]},{"cell_type":"markdown","source":["## Make a linear model for classification\n","\n","train model"],"metadata":{"id":"kLgH5Bn-I2pA"}},{"cell_type":"code","source":["from sklearn.linear_model import LogisticRegression\n","\n","lr = LogisticRegression()\n","lr.fit(Xtr, ytr)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":214},"id":"-sg6XJmLKvjr","executionInfo":{"status":"ok","timestamp":1724112871908,"user_tz":300,"elapsed":18619,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"107c92d3-be1a-48f4-e789-8532df7c5399"},"execution_count":29,"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n","STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n","\n","Increase the number of iterations (max_iter) or scale the data as shown in:\n","    https://scikit-learn.org/stable/modules/preprocessing.html\n","Please also refer to the documentation for alternative solver options:\n","    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n","  n_iter_i = _check_optimize_result(\n"]},{"output_type":"execute_result","data":{"text/plain":["LogisticRegression()"],"text/html":["<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"]},"metadata":{},"execution_count":29}]},{"cell_type":"markdown","source":["get predictions"],"metadata":{"id":"Ho_AJBynLAg8"}},{"cell_type":"code","source":["preds_tr = lr.predict(Xtr)\n","preds_ts = lr.predict(Xts)"],"metadata":{"id":"b5LyfEr5K2dp","executionInfo":{"status":"ok","timestamp":1724112876537,"user_tz":300,"elapsed":295,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}}},"execution_count":30,"outputs":[]},{"cell_type":"code","source":["print (preds_tr[:10])\n","print (preds_ts[:10])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"16v9wKRWE2U_","executionInfo":{"status":"ok","timestamp":1724112879565,"user_tz":300,"elapsed":266,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"14ccd1d2-164e-47cf-e015-758be59f818a"},"execution_count":31,"outputs":[{"output_type":"stream","name":"stdout","text":["[3 0 0 0 2 0 0 1 3 3]\n","[3 1 1 3 3 3 2 3 3 3]\n"]}]},{"cell_type":"markdown","source":["get accuracy and confusion matrices"],"metadata":{"id":"Ho217DgGLHvi"}},{"cell_type":"code","source":["np.mean(preds_tr==ytr), np.mean(preds_ts==yts)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"MmCov-9yLGP7","executionInfo":{"status":"ok","timestamp":1724112886353,"user_tz":300,"elapsed":238,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"ea4364b6-2f28-48bf-c5e5-d6375d8d9aa0"},"execution_count":32,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(0.3474223826714801, 0.3464909747292419)"]},"metadata":{},"execution_count":32}]},{"cell_type":"code","source":["from sklearn.metrics import confusion_matrix"],"metadata":{"id":"jO4CCwdcLPZB","executionInfo":{"status":"ok","timestamp":1724112888120,"user_tz":300,"elapsed":244,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}}},"execution_count":33,"outputs":[]},{"cell_type":"code","source":["cm_tr = confusion_matrix(ytr, preds_tr)\n","cm_ts = confusion_matrix(yts, preds_ts)\n","\n","# normalize by class\n","cm_tr = cm_tr / cm_tr.sum(axis=1).reshape(-1,1)\n","cm_ts = cm_ts / cm_ts.sum(axis=1).reshape(-1,1)"],"metadata":{"id":"0vrR_5hmLU8i","executionInfo":{"status":"ok","timestamp":1724112889337,"user_tz":300,"elapsed":345,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}}},"execution_count":34,"outputs":[]},{"cell_type":"markdown","source":["observe how each row in the confusion matrix adds up to 1. What does this mean?"],"metadata":{"id":"Fs-Zxg-BMIfz"}},{"cell_type":"code","source":["import seaborn as sns\n","for ax,i in subplots(2, usizex=4):\n","  if i==0: sns.heatmap(cm_tr, annot=True); plt.title(\"confusion matrix train\")\n","  if i==1: sns.heatmap(cm_ts, annot=True); plt.title(\"confusion matrix test\")\n","  plt.ylabel(\"true\")\n","  plt.xlabel(\"predicted\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":307},"id":"j2L9eKKtLZix","executionInfo":{"status":"ok","timestamp":1724112892388,"user_tz":300,"elapsed":1254,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"90ecefb8-a86a-40b0-ec66-d9c4c8a27cd8"},"execution_count":35,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x300 with 4 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## is the column `FAMI_EDUCACIONMADRE` really contributing?\n","\n","remove it and compare scores"],"metadata":{"id":"ZNhNB5tGMUw6"}},{"cell_type":"code","source":["zh = z[['ESTU_VALORMATRICULAUNIVERSIDAD', y_col]]\n","\n","X = zh[[c for c in zh.columns if c!=y_col]].values\n","y = zh[y_col].values\n","X.shape, y.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"llnM67oBLp9m","executionInfo":{"status":"ok","timestamp":1724112894906,"user_tz":300,"elapsed":267,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"b8a2a463-998c-4cf3-c735-5ee4a2b3defb"},"execution_count":36,"outputs":[{"output_type":"execute_result","data":{"text/plain":["((692500, 1), (692500,))"]},"metadata":{},"execution_count":36}]},{"cell_type":"code","source":["Xtr, Xts, ytr, yts = train_test_split(X,y, train_size=0.8)\n","lr_small = LogisticRegression()\n","lr_small.fit(Xtr, ytr)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":75},"id":"2MxHfWuJMfmt","executionInfo":{"status":"ok","timestamp":1724112898423,"user_tz":300,"elapsed":2736,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"65c15d2a-b6e3-4759-ac33-27f1b79867f9"},"execution_count":37,"outputs":[{"output_type":"execute_result","data":{"text/plain":["LogisticRegression()"],"text/html":["<style>#sk-container-id-2 {color: black;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover 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div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"]},"metadata":{},"execution_count":37}]},{"cell_type":"code","source":["preds_tr = lr_small.predict(Xtr)\n","preds_ts = lr_small.predict(Xts)\n","np.mean(preds_tr==ytr), np.mean(preds_ts==yts)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"RIJu1xAKMkK9","executionInfo":{"status":"ok","timestamp":1724112899692,"user_tz":300,"elapsed":352,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"3cf75a11-0912-471b-ea40-ce06fa6b80cd"},"execution_count":38,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(0.3179657039711191, 0.3163176895306859)"]},"metadata":{},"execution_count":38}]},{"cell_type":"markdown","source":["where is it helping?"],"metadata":{"id":"QUmIWwTkNNEf"}},{"cell_type":"code","source":["cm_tr = confusion_matrix(ytr, preds_tr)\n","cm_ts = confusion_matrix(yts, preds_ts)\n","\n","# normalize by class\n","cm_tr = cm_tr / cm_tr.sum(axis=1).reshape(-1,1)\n","cm_ts = cm_ts / cm_ts.sum(axis=1).reshape(-1,1)\n","\n","import seaborn as sns\n","for ax,i in subplots(2, usizex=4):\n","  if i==0: sns.heatmap(cm_tr, annot=True); plt.title(\"confusion matrix train\")\n","  if i==1: sns.heatmap(cm_ts, annot=True); plt.title(\"confusion matrix test\")\n","  plt.ylabel(\"true\")\n","  plt.xlabel(\"predicted\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":307},"id":"VwLxZFW8MnJm","executionInfo":{"status":"ok","timestamp":1724112903467,"user_tz":300,"elapsed":1227,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"be45db36-6015-40ce-8133-a08810348ada"},"execution_count":39,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x300 with 4 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["## We keep the first model, now we apply the same procedure to `test.csv`\n","\n","observe:\n","- there is no `RENDIMIENTO_GLOBAL` column\n","- we must keep the IDs so that we can create properly the submission file"],"metadata":{"id":"pcp9rx7BPO6_"}},{"cell_type":"code","source":["zt = pd.read_csv(\"test.csv\")\n","zt"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":635},"id":"6XF19icpRP9a","executionInfo":{"status":"ok","timestamp":1724112906219,"user_tz":300,"elapsed":1075,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"6b716c20-064b-4120-ae03-8698dc0f00c9"},"execution_count":40,"outputs":[{"output_type":"execute_result","data":{"text/plain":["        Unnamed: 0      ID  PERIODO                     ESTU_PRGM_ACADEMICO  \\\n","0                0  550236    20183                          TRABAJO SOCIAL   \n","1                1   98545    20203  ADMINISTRACION COMERCIAL Y DE MERCADEO   \n","2                2  499179    20212                  INGENIERIA MECATRONICA   \n","3                3  782980    20195                      CONTADURIA PUBLICA   \n","4                4  785185    20212              ADMINISTRACION DE EMPRESAS   \n","...            ...     ...      ...                                     ...   \n","296781      296781  496981    20195              ADMINISTRACION DE EMPRESAS   \n","296782      296782  209415    20183                                 DERECHO   \n","296783      296783  239074    20212                                 DERECHO   \n","296784      296784  963852    20195                  INGENIERIA AERONAUTICA   \n","296785      296785  792650    20212                   INGENIERIA INDUSTRIAL   \n","\n","       ESTU_PRGM_DEPARTAMENTO            ESTU_VALORMATRICULAUNIVERSIDAD  \\\n","0                     BOLIVAR                          Menos de 500 mil   \n","1                   ANTIOQUIA  Entre 2.5 millones y menos de 4 millones   \n","2                      BOGOTÁ    Entre 1 millón y menos de 2.5 millones   \n","3                       SUCRE    Entre 1 millón y menos de 2.5 millones   \n","4                   ATLANTICO  Entre 2.5 millones y menos de 4 millones   \n","...                       ...                                       ...   \n","296781                 BOGOTÁ  Entre 2.5 millones y menos de 4 millones   \n","296782                   META    Entre 1 millón y menos de 2.5 millones   \n","296783                 BOGOTÁ  Entre 2.5 millones y menos de 4 millones   \n","296784              ANTIOQUIA  Entre 5.5 millones y menos de 7 millones   \n","296785                 BOYACA                         No pagó matrícula   \n","\n","       ESTU_HORASSEMANATRABAJA FAMI_ESTRATOVIVIENDA FAMI_TIENEINTERNET  \\\n","0            Menos de 10 horas            Estrato 3                 Si   \n","1          Entre 21 y 30 horas            Estrato 2                 Si   \n","2                            0            Estrato 3                 Si   \n","3          Entre 21 y 30 horas            Estrato 1                 No   \n","4          Entre 11 y 20 horas            Estrato 2                 Si   \n","...                        ...                  ...                ...   \n","296781         Más de 30 horas            Estrato 1                 Si   \n","296782                       0            Estrato 4                 Si   \n","296783         Más de 30 horas            Estrato 3                 Si   \n","296784     Entre 11 y 20 horas            Estrato 3                 Si   \n","296785                       0            Estrato 3                 Si   \n","\n","                         FAMI_EDUCACIONPADRE  \\\n","0             Técnica o tecnológica completa   \n","1         Secundaria (Bachillerato) completa   \n","2       Secundaria (Bachillerato) incompleta   \n","3                        Primaria incompleta   \n","4         Secundaria (Bachillerato) completa   \n","...                                      ...   \n","296781                   Primaria incompleta   \n","296782        Educación profesional completa   \n","296783    Secundaria (Bachillerato) completa   \n","296784        Educación profesional completa   \n","296785    Secundaria (Bachillerato) completa   \n","\n","                       FAMI_EDUCACIONMADRE ESTU_PAGOMATRICULAPROPIO  \n","0                        Primaria completa                       Si  \n","1           Técnica o tecnológica completa                       No  \n","2       Secundaria (Bachillerato) completa                       No  \n","3                      Primaria incompleta                       No  \n","4       Secundaria (Bachillerato) completa                       No  \n","...                                    ...                      ...  \n","296781                 Primaria incompleta                       Si  \n","296782      Educación profesional completa                       No  \n","296783      Educación profesional completa                       No  \n","296784      Educación profesional completa                       No  \n","296785  Secundaria (Bachillerato) completa                       No  \n","\n","[296786 rows x 12 columns]"],"text/html":["\n","  <div id=\"df-7bba13ad-f26f-4ffa-99fb-823461072d75\" class=\"colab-df-container\">\n","    <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>Unnamed: 0</th>\n","      <th>ID</th>\n","      <th>PERIODO</th>\n","      <th>ESTU_PRGM_ACADEMICO</th>\n","      <th>ESTU_PRGM_DEPARTAMENTO</th>\n","      <th>ESTU_VALORMATRICULAUNIVERSIDAD</th>\n","      <th>ESTU_HORASSEMANATRABAJA</th>\n","      <th>FAMI_ESTRATOVIVIENDA</th>\n","      <th>FAMI_TIENEINTERNET</th>\n","      <th>FAMI_EDUCACIONPADRE</th>\n","      <th>FAMI_EDUCACIONMADRE</th>\n","      <th>ESTU_PAGOMATRICULAPROPIO</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>550236</td>\n","      <td>20183</td>\n","      <td>TRABAJO SOCIAL</td>\n","      <td>BOLIVAR</td>\n","      <td>Menos de 500 mil</td>\n","      <td>Menos de 10 horas</td>\n","      <td>Estrato 3</td>\n","      <td>Si</td>\n","      <td>Técnica o tecnológica completa</td>\n","      <td>Primaria completa</td>\n","      <td>Si</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>98545</td>\n","      <td>20203</td>\n","      <td>ADMINISTRACION COMERCIAL Y DE MERCADEO</td>\n","      <td>ANTIOQUIA</td>\n","      <td>Entre 2.5 millones y menos de 4 millones</td>\n","      <td>Entre 21 y 30 horas</td>\n","      <td>Estrato 2</td>\n","      <td>Si</td>\n","      <td>Secundaria (Bachillerato) completa</td>\n","      <td>Técnica o tecnológica completa</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>499179</td>\n","      <td>20212</td>\n","      <td>INGENIERIA MECATRONICA</td>\n","      <td>BOGOTÁ</td>\n","      <td>Entre 1 millón y menos de 2.5 millones</td>\n","      <td>0</td>\n","      <td>Estrato 3</td>\n","      <td>Si</td>\n","      <td>Secundaria (Bachillerato) incompleta</td>\n","      <td>Secundaria (Bachillerato) completa</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>782980</td>\n","      <td>20195</td>\n","      <td>CONTADURIA PUBLICA</td>\n","      <td>SUCRE</td>\n","      <td>Entre 1 millón y menos de 2.5 millones</td>\n","      <td>Entre 21 y 30 horas</td>\n","      <td>Estrato 1</td>\n","      <td>No</td>\n","      <td>Primaria incompleta</td>\n","      <td>Primaria incompleta</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>785185</td>\n","      <td>20212</td>\n","      <td>ADMINISTRACION DE EMPRESAS</td>\n","      <td>ATLANTICO</td>\n","      <td>Entre 2.5 millones y menos de 4 millones</td>\n","      <td>Entre 11 y 20 horas</td>\n","      <td>Estrato 2</td>\n","      <td>Si</td>\n","      <td>Secundaria (Bachillerato) completa</td>\n","      <td>Secundaria (Bachillerato) completa</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>296781</th>\n","      <td>296781</td>\n","      <td>496981</td>\n","      <td>20195</td>\n","      <td>ADMINISTRACION DE EMPRESAS</td>\n","      <td>BOGOTÁ</td>\n","      <td>Entre 2.5 millones y menos de 4 millones</td>\n","      <td>Más de 30 horas</td>\n","      <td>Estrato 1</td>\n","      <td>Si</td>\n","      <td>Primaria incompleta</td>\n","      <td>Primaria incompleta</td>\n","      <td>Si</td>\n","    </tr>\n","    <tr>\n","      <th>296782</th>\n","      <td>296782</td>\n","      <td>209415</td>\n","      <td>20183</td>\n","      <td>DERECHO</td>\n","      <td>META</td>\n","      <td>Entre 1 millón y menos de 2.5 millones</td>\n","      <td>0</td>\n","      <td>Estrato 4</td>\n","      <td>Si</td>\n","      <td>Educación profesional completa</td>\n","      <td>Educación profesional completa</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>296783</th>\n","      <td>296783</td>\n","      <td>239074</td>\n","      <td>20212</td>\n","      <td>DERECHO</td>\n","      <td>BOGOTÁ</td>\n","      <td>Entre 2.5 millones y menos de 4 millones</td>\n","      <td>Más de 30 horas</td>\n","      <td>Estrato 3</td>\n","      <td>Si</td>\n","      <td>Secundaria (Bachillerato) completa</td>\n","      <td>Educación profesional completa</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>296784</th>\n","      <td>296784</td>\n","      <td>963852</td>\n","      <td>20195</td>\n","      <td>INGENIERIA AERONAUTICA</td>\n","      <td>ANTIOQUIA</td>\n","      <td>Entre 5.5 millones y menos de 7 millones</td>\n","      <td>Entre 11 y 20 horas</td>\n","      <td>Estrato 3</td>\n","      <td>Si</td>\n","      <td>Educación profesional completa</td>\n","      <td>Educación profesional completa</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>296785</th>\n","      <td>296785</td>\n","      <td>792650</td>\n","      <td>20212</td>\n","      <td>INGENIERIA INDUSTRIAL</td>\n","      <td>BOYACA</td>\n","      <td>No pagó matrícula</td>\n","      <td>0</td>\n","      <td>Estrato 3</td>\n","      <td>Si</td>\n","      <td>Secundaria (Bachillerato) completa</td>\n","      <td>Secundaria (Bachillerato) completa</td>\n","      <td>No</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>296786 rows × 12 columns</p>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7bba13ad-f26f-4ffa-99fb-823461072d75')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n"," 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2)\n"]},{"output_type":"execute_result","data":{"text/plain":["                  FAMI_EDUCACIONMADRE  \\\n","0                   Primaria completa   \n","1      Técnica o tecnológica completa   \n","2  Secundaria (Bachillerato) completa   \n","3                 Primaria incompleta   \n","4  Secundaria (Bachillerato) completa   \n","\n","             ESTU_VALORMATRICULAUNIVERSIDAD  \n","0                          Menos de 500 mil  \n","1  Entre 2.5 millones y menos de 4 millones  \n","2    Entre 1 millón y menos de 2.5 millones  \n","3    Entre 1 millón y menos de 2.5 millones  \n","4  Entre 2.5 millones y menos de 4 millones  "],"text/html":["\n","  <div id=\"df-ce10dcb1-04f1-42d7-9401-80158334af47\" class=\"colab-df-container\">\n","    <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","        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12)"]},"metadata":{},"execution_count":46}]},{"cell_type":"code","source":["preds_test_data = lr.predict(X_test_data)"],"metadata":{"id":"ZsAKzyMlQLOA","executionInfo":{"status":"ok","timestamp":1724112921190,"user_tz":300,"elapsed":298,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}}},"execution_count":47,"outputs":[]},{"cell_type":"markdown","source":["## prepare submission\n","\n","first, map back the predictions to textual values"],"metadata":{"id":"bGtQjbABRFm6"}},{"cell_type":"code","source":["# inverse mapping\n","rmapi = {v:k for k,v in rmap.items()}\n","text_preds_test_data = [rmapi[i] for i in preds_test_data]\n"],"metadata":{"id":"D2qL_8SGQ35x","executionInfo":{"status":"ok","timestamp":1724112925263,"user_tz":300,"elapsed":256,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}}},"execution_count":48,"outputs":[]},{"cell_type":"code","source":["# create dataframe\n","\n","submission = pd.DataFrame([zt_ids, text_preds_test_data], index=['ID', 'RENDIMIENTO_GLOBAL']).T\n","submission"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"IU6YQTrBRsQd","executionInfo":{"status":"ok","timestamp":1724112937162,"user_tz":300,"elapsed":10886,"user":{"displayName":"RAUL RAMOS POLLAN","userId":"04254654220415345259"}},"outputId":"aab9d815-a7b4-4af2-9f84-bd579a523606"},"execution_count":49,"outputs":[{"output_type":"execute_result","data":{"text/plain":["            ID RENDIMIENTO_GLOBAL\n","0       550236               bajo\n","1        98545               alto\n","2       499179         medio-bajo\n","3       782980               bajo\n","4       785185         medio-alto\n","...        ...                ...\n","296781  496981               bajo\n","296782  209415               alto\n","296783  239074               alto\n","296784  963852               alto\n","296785  792650               bajo\n","\n","[296786 rows x 2 columns]"],"text/html":["\n","  <div 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