From d61704a63afcd109b42a824da04c55ea8e220824 Mon Sep 17 00:00:00 2001 From: Korigami <43794510+Korigami@users.noreply.github.com> Date: Mon, 8 Mar 2021 21:04:12 +0100 Subject: [PATCH 01/10] Create .gitkeep --- Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/.gitkeep | 1 + 1 file changed, 1 insertion(+) create mode 100644 Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/.gitkeep diff --git a/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/.gitkeep b/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/.gitkeep new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/.gitkeep @@ -0,0 +1 @@ + From 87ce16b18b4ecc3d51100df0aaba1d14759eedc5 Mon Sep 17 00:00:00 2001 From: Korigami <43794510+Korigami@users.noreply.github.com> Date: Mon, 8 Mar 2021 21:06:00 +0100 Subject: [PATCH 02/10] add pd1 Kacper Kurowski --- ...pa 3] Praca Domowa 1 Kacper Kurowski.ipynb | 52587 ++++++++++++++++ ...rupa 3] Praca Domowa 1 Kacper Kurowski.pdf | Bin 0 -> 538764 bytes 2 files changed, 52587 insertions(+) create mode 100644 Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.ipynb create mode 100644 Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.pdf diff --git a/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.ipynb b/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.ipynb new file mode 100644 index 000000000..c8ce41e6f --- /dev/null +++ b/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.ipynb @@ -0,0 +1,52587 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Wstęp do Uczenia Maszynowego PD1 (Eksploracja danych)\n", + "## Kacper Kurowski\n", + "\n", + "Zacznijmy od wczytania paczek i pobrania danych" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "from sklearn.datasets import load_boston\n", + "from sklearn.linear_model import LinearRegression, Lasso\n", + "from sklearn.metrics import mean_squared_error\n", + "from sklearn.compose import ColumnTransformer\n", + "from sklearn.preprocessing import FunctionTransformer\n", + "from sklearn.pipeline import Pipeline\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "from matplotlib import pyplot as plt\n", + "import seaborn as sns\n", + "from scipy import stats" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.DataFrame(pd.read_json( 'https://api.apispreadsheets.com/api/dataset/forest-fires/',\n", + " orient = 'split'))\n", + "\n", + "order_by_day = [\"mon\",\"tue\",\"wed\",\"thu\",\"fri\",\"sat\",\"sun\"]\n", + "order_by_month = [\"jan\", \"feb\", \"mar\", \"apr\", \"may\", \"aug\", \"jun\",\"jul\", \"sep\", \"oct\", \"nov\", \"dec\"]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Wyświetlmy wpierw histogramy zmiennych" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "data.hist(figsize=(18, 12), bins=30)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "no, nie wszystkich, bo jeszcze mamy inne, np. day czy month:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['X', 'Y', 'month', 'day', 'FFMC', 'DMC', 'DC', 'ISI', 'temp', 'RH',\n", + " 'wind', 'rain', 'area'],\n", + " dtype='object')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Możemy również sprawdzić, czy histogramy wyglądają inaczej, gdy pożar rzeczywiście miał miejscce, tzn. gdy zmienna area>0:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "data_tmp = pd.DataFrame(data)\n", + "data_tmp[\"exclude_not_fire\"] = \"all data\"\n", + "data_tmp2 = pd.DataFrame(data[data[\"area\"] > 0])\n", + "data_tmp2[\"exclude_not_fire\"] = \"not fires excluded\"\n", + "\n", + "merged = pd.concat([data_tmp, data_tmp2])\n", + "\n", + "columns_to_compare = [\"DC\", \"DMC\", \"FFMC\", \"ISI\", \"RH\", \"X\", \"Y\", \"area\", \"rain\", \"temp\", \"wind\"]\n", + "\n", + "f = plt.figure( figsize=(18, 12))\n", + "f.suptitle(\"Porównanie histogramów kolumn \\ndla pełnych danych i danych bez pożarów\", fontsize = 30)\n", + "for i in range(1, 12):\n", + " ax = plt.subplot(3, 4, i)\n", + " g = sns.histplot( data = merged, ax = ax,\n", + " x = columns_to_compare[i-1],\n", + " hue = \"exclude_not_fire\",\n", + " bins = 30,\n", + " palette = [\"magenta\", \"yellow\"],\n", + " hue_order = [\"not fires excluded\",\"all data\"],\n", + " alpha=1\n", + " ) \n", + " #g.legend_.remove()\n", + " plt.legend([\"all data\", \"area > 0\"], loc = \"best\")\n", + " ax.set_ylabel('') \n", + " # Usuwanie \"outlierów\" w celu poprawienia widoczności histogramu\n", + " if columns_to_compare[i-1] == \"FFMC\":\n", + " plt.xlim(60, 100)\n", + " if columns_to_compare[i-1] == \"ISI\":\n", + " plt.xlim(0, 30)\n", + " \n", + " \n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Zmiana ta wpływa na zmienną temp, która przesunęła się nieco w prawo - można stąd przypuszczać, że pomiary area=0 częściej odbywały się, gdy temperatura była stosunkowo niska, więc ich brak, gdy temp startowała jako zmienna z rozkładem prawie normalnym, stała sie skośna.\n", + "\n", + "Brak zauważalnych zmian w zmiennych X i Y sugeruje, że pomiary odbywają się regularnie w odpowiednich regionach - niezależnie, czy pożar był, czy nie." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.catplot( data = data, y = \"X\", x = \"month\", order = order_by_month)\n", + "plt.title(\"Scatter pomiarów w podziale na rejon X i miesiące\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.catplot( data = data, y = \"Y\", x = \"month\", order = order_by_month)\n", + "plt.title(\"Scatter pomiarów w podziale na rejon Y i miesiące\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "możemy jednak zauważyć, że o ile pomiar może niekoniecznie zależy od wystąpienia pożaru, to jednak nie wszędzie pomiary były wykonywane w każdym miesiącu. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Możemy następnie sprawdzić, czy dni wpływają na uzyskiwane dane dotyczące pożarów." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.catplot( data = data, y = \"area\", x = \"day\", order = order_by_day)\n", + "plt.title(\"Wielkość pożaru w podziale na dni (z pomiarami bez pożaru)\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Możemy zauważyć, że najgorsze pożary zostały zarejestrowane w czwartek i sobotę. Możemy również stwierdzić, że w czwartki i piątki (oprócz jednego silnego cczwartkowego pożaru), rejestrowano nie za wiele pożarów." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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RiU17IiIiEtsOe0xk7Nix/tRTO8VFPUVkx5Xp+0ktxg67J7JsWUPfnxMRke1hhw0RERFpfgoRERGJTSEiIiKxKURERCQ2hYiIiMSmEBERkdgUIiIiEptCREREYlOIiIhIbAoRERGJbYe9dpaItG5lc2cza2opPQYMYuj+o7E8feZtiRQiItLizHzrdSb+4XfU/hz8qKPH8oULL064KklH0S4iLc5bEx/ZHCAA7z33NOtXr0qwIslEISIiLY6jH8trLRQiItLijD7xK5ht2TyNGHM07Tt3SbAiyWSH/XnckpISLy0tTboMEYlpyayZzA4H1oeNPnhnPbDe4n+USgfWRaRF6j1kGL2HDEu6DGnEThntIiKyfShEREQkNoWIiIjEphAREZHYFCIiIhKbQkRERGJTiIiISGwKERERiU0hIiIisSlEREQkNoWIiIjEphAREZHYFCIiIhKbQkRERGJTiIiISGwKERERiU0hIiIisTVbiJjZXWa21MzeT2nrbmbPmNmM8L9byrgrzWymmX1sZsemtB9gZu+FcTeZWYv/uUgRkZ1Fc+6J3AOMrdd2BTDJ3XcDJoVhzGw4cBowItznVjPLD/e5DbgQ2C381X9MERFJSLOFiLu/CKyo1zwOuDfcvhc4OaX9QXff5O6zgZnAgWbWF+js7q+5uwP3pdxHREQSlutjIr3dfTFA+N8rtPcH5qdMtyC09Q+367enZWYXmlmpmZWWlZVt18JFRGRrLeXAerrjHN5Ae1rufoe7l7h7SXFx8XYrTkRE0st1iCwJXVSE/0tD+wJgYMp0A4BFoX1AmnYREWkBch0iE4Gzw+2zgcdS2k8zs7ZmtivRAfQ3Q5fXGjM7OJyVdVbKfUREJGEFzfXAZjYBGAP0NLMFwC+B64CHzOw8YB5wKoC7f2BmDwEfAlXARe5eHR7qu0RnerUDngx/IiLSAlh00tOOp6SkxEtLS5MuQ0RkW7T478W1lAPrIiLSCilEREQkNoWIiIjEphAREZHYFCIiIhKbQkRERGJTiIiISGwKERERiU0hIiIisSlEREQkNoWIiIjEphAREZHYFCIiIhKbQkRERGJTiIiISGwKERERiU0hIiIisSlEREQkNoWIiIjEphAREZHYFCIiIhKbQkRERGJTiIiISGwKERERiU0hIiIisSlEREQkNoWIiIjEphAREZHYFCIiIhKbQkRERGJTiIiISGwKERERiU0hIiIisSlEREQkNoWIiIjEphAREZHYFCIiIhKbQkRERGJTiIiISGwKERERiU0hIiIisSlEREQkNoWIiIjEphAREZHYFCIiIhJbIiFiZj8wsw/M7H0zm2BmRWbW3cyeMbMZ4X+3lOmvNLOZZvaxmR2bRM0iIrK1nIeImfUHLgFK3H0kkA+cBlwBTHL33YBJYRgzGx7GjwDGAreaWX6u6xYRka0l1Z1VALQzswKgPbAIGAfcG8bfC5wcbo8DHnT3Te4+G5gJHJjjekVEJI2ch4i7LwSuB+YBi4FV7v400NvdF4dpFgO9wl36A/NTHmJBaNuKmV1oZqVmVlpWVtZcT0FERIIkurO6Ee1d7Ar0AzqY2ZkN3SVNm6eb0N3vcPcSdy8pLi7e9mJFRKRBSXRnHQPMdvcyd68EHgU+Bywxs74A4f/SMP0CYGDK/QcQdX+JiEjCkgiRecDBZtbezAw4GpgOTATODtOcDTwWbk8ETjOztma2K7Ab8GaOaxYRkTQKcj1Dd3/DzB4G3gaqgKnAHUBH4CEzO48oaE4N039gZg8BH4bpL3L36lzXLSIiWzP3tIcXWr2SkhIvLS1NugwRkW2R7phwi6JvrIuISGwKERERiU0hIiIisSlEREQkNoWIiIjEphARaaLq1avZNHMmO+qZjSJNoRARaYKVEyYw4/AjmHXiScw66SQqF+niCbJzU4iIZKlq5UqWXHsdvmkTABUzP6Xslj8lXJVIshQiIlmqWrIEr6io01Yxb25C1Yi0DAoRkSy13X13CncZVKet0zHHJFSNSMuQ82tnibRWlpfHoL/8hbKbbqZy/nw6HXss3c8+u/E7iuzAdO0sEZGWS9fOEhGRHZdCREREYlOIiIhIbAoRERGJTSEiIiKxKURERCQ2hYiIiMSmEBERkdgUIiIiEptCREREYlOIiIhIbAoRERGJTSEiIiKxKURERCQ2hYiIiMSmEBERkdgUIiIiEptCREREYlOIiIhIbAoRERGJTSEiIiKxKURERCQ2hYiIiMSmEBERkdgUIiIiEptCREREYlOIiIhIbAoRERGJTSEiIiKxKURERCQ2hYiIiMSmEBERkdgSCREz62pmD5vZR2Y23cwOMbPuZvaMmc0I/7ulTH+lmc00s4/N7NgkahYRka0ltSdyI/CUu+8J7ANMB64AJrn7bsCkMIyZDQdOA0YAY4FbzSw/kapFRKSOnIeImXUGjgD+CuDuFe5eDowD7g2T3QucHG6PAx50903uPhuYCRyY26pFRCSdJPZEhgBlwN1mNtXM7jSzDkBvd18MEP73CtP3B+an3H9BaNuKmV1oZqVmVlpWVtZ8z0BERIBkQqQA2B+4zd33A9YRuq4ysDRtnm5Cd7/D3UvcvaS4uHjbKxURkQYlESILgAXu/kYYfpgoVJaYWV+A8H9pyvQDU+4/AFiUo1pFRKQBOQ8Rd/8MmG9me4Smo4EPgYnA2aHtbOCxcHsicJqZtTWzXYHdgDdzWLKIiGRQkNB8vw/cb2ZtgFnAuUSB9pCZnQfMA04FcPcPzOwhoqCpAi5y9+pkyhYRkVTmnvbwQqtXUlLipaWlSZchIrIt0h0TblH0jXUREYkt6+4sMxsJDAeKatvc/b7mKEpERFqHrELEzH4JjCEKkSeA44CXAYWIiMhOLNvurFOIzqL6zN3PJbpUSdtmq0pERFqFbENkg7vXAFXhsiVLib55LiIiO7Fsj4mUmllX4C/AFGAt+q6GiMhOL6sQcffvhZu3m9lTQGd3f7f5yhIRkdYgq+4si5xpZle5+xyg3Mx0JV0RkZ1ctsdEbgUOAU4Pw2uAPzVLRSIi0mpke0zkIHff38ymArj7ynDJEhER2YlluydSGX5N0AHMrBioabaqRESkVcg2RG4C/gn0MrNriL5o+Ltmq0pERFqFRruzzCwPmA38lOgLhwac7O7Tm7k2ERFp4RoNEXevMbM/uPshwEc5qElERFqJbLuznjazr5pZi78ssYiI5E62Z2f9EOhAdNmTjURdWu7unZutMhERafGy/cZ6JzPrTvTTtEWNTS8iIjuHbC8Ffz5wKTAAmAYcDLxKdKBdRER2UtkeE7kUGA3MdfejgP2AZc1WlYiItArZhshGd98IYGZt3f0jYI/mK0tERFqDbA+sLwiXgv8X8IyZrQQWNV9ZIiLSGmR7YP3L4ebVZvY80AV4qtmqEhGRViHbPZHN3P2F5ihERERan2yPiYiIiGxFISIiIrEpREREJDaFiIiIxKYQERGR2BQiIiISm0JERERiU4iIiEhsChEREYlNISIiIrEpREREJDaFiIiIxKYQERGR2BQiIiISm0JERERiU4iIiEhsChEREYlNISIiIrEpREREJDaFiIiIxKYQERGR2BQiIiISW2IhYmb5ZjbVzP4Thrub2TNmNiP875Yy7ZVmNtPMPjazY5OqWURE6kpyT+RSYHrK8BXAJHffDZgUhjGz4cBpwAhgLHCrmeXnuFYREUkjkRAxswHACcCdKc3jgHvD7XuBk1PaH3T3Te4+G5gJHJirWkVEJLOk9kRuAH4K1KS09Xb3xQDhf6/Q3h+YnzLdgtC2FTO70MxKzay0rKxs+1ctIiJ15DxEzOxEYKm7T8n2LmnaPN2E7n6Hu5e4e0lxcXHsGkVEJDsFCczzUOBLZnY8UAR0NrPxwBIz6+vui82sL7A0TL8AGJhy/wHAopxWLCIiaeV8T8Tdr3T3Ae4+mOiA+XPufiYwETg7THY28Fi4PRE4zczamtmuwG7AmzkuW0RE0khiTyST64CHzOw8YB5wKoC7f2BmDwEfAlXARe5enVyZIiJSy9zTHl5o9UpKSry0tDTpMkREtkW6Y8Itir6xLiIisSlEREQkNoWIiIjEphAREZHYFCIiIhKbQkRERGJTiIiISGwKERERiU0hIiIisSlEREQkNoWIiIjEphAREZHYFCIiIhKbQkRERGJTiIiISGwKERERiU0hIiIisSlEREQkNoWIiIjEphAREZHYFCIiIhKbQkRERGJTiIiISGwKERERia0g6QJao3Wbqrjmiem88HEZe/XtxFUnjmBQj/ZJlyUiknMKkRiueWI6D7wxD4CF5RtYVL6RJy49POGqRERyT91ZMbw0o6zO8IeLV1O2ZlNC1YiIJEchEsOefTrXGe7TuYjuHdokVI2ISHIUIjFcdeJwRvSLgqRP5yL+8LV9yM+zhKsSEck9HROJYWD39jx+yeEsX7uJru3bKEBEZKelENkGPTq2TboEEZFEqTtLRERiU4iIiEhsChEREYlNISIiIrEpREREJDaFiIiIxKYQERGR2BQiIiISm0JERERiU4iIiEhsCpEdxYIpMPslqKlOuhIR2Yno2lmtXU0NPHg6fPJUNNx7bzj3cSjqkmxdIrJT0J5Ia/fppC0BArDkPXj7vuTqEZGdSs5DxMwGmtnzZjbdzD4ws0tDe3cze8bMZoT/3VLuc6WZzTSzj83s2FzX3KKtXZpdm0grsmn9eio2bki6DMlCEt1ZVcCP3P1tM+sETDGzZ4BzgEnufp2ZXQFcAVxuZsOB04ARQD/gWTPb3d3V+Q+wx3HQrhtsWBkN5xXC3qckW5NITF5Tw7N33sp7zz9NXl4e+x8/jiPOODfpsqQBOQ8Rd18MLA6315jZdKA/MA4YEya7F5gMXB7aH3T3TcBsM5sJHAi8ltvKW6j23eG8Z+D126ByPRxwLvTdJ+mqRGL5+PWXeXdS1D1bXVPDWxMfYfA++zNoZMtbp9e+sZi1Ly8EMzodNZAO+/VKuqREJHpg3cwGA/sBbwC9Q8Dg7ovNrPYV6Q+8nnK3BaFNavXcDU78f0lXIbLNls2bs1Vb2dw5LS5ENs0qp/yfMzcPr3zoYwp7t6dNv44JVpWMxA6sm1lH4BHgMndf3dCkado8w2NeaGalZlZaVla2PcqUhLg7ldWVSZchOTZ41P51hs3y2GXUvglVk9nGmeV1Gxw21W/bSSQSImZWSBQg97v7o6F5iZn1DeP7ArVHhxcAA1PuPgBYlO5x3f0Ody9x95Li4uLmKV6a3bNzn+WYh4+h5P4SfvzCj1lfuT7pkiRHBgwfybHfuZSegwbTe8gwTvzB5fQcuEvSZW0l3R5H4U64FwJg7mk/1DffDM2M6JjHCne/LKX998DylAPr3d39p2Y2AniA6DhIP2ASsFtjB9ZLSkq8tLS02Z6HNI9Vm1ZxzD+OYWP1xs1tF+x9AZfsf0mCVYnU5e6s+s8s1r6+GMszOh7Wny7HDm6OWaXriWlRkjgmcijwTeA9M5sW2n4GXAc8ZGbnAfOAUwHc/QMzewj4kOjMrot0ZtaOa2b5zDoBAvDB8g8SqkZypXLjRgqLipIuI2tmRteThtJl7GDAsMKd9yt3SZyd9TKZ0/XoDPe5Brim2YqSFmPP7nvSsbAjayvXbm4b3Wd0ghVJc1q+YB6P3/R7yubOpnjQYI7//o/pOWhw0mVlzQrzky4hcTtvfEqL1KGwAzcedSN7dd+Lbm278Y09v8HZw89OuixpJv/9802UzZ0NQNm8Ofz39hsTrkiaStfOkhbnwL4H8tBJDyVdhuTA0lkz6wwvmfVpQpVIXNoTEZHEDKz3/Y+BI0clVInEpRARkcQc+51LGTb6YNp16szQkoMY+73LGr+TtCgKERFJTMdu3Rn3419w1NkXULlpEy+Ov5vlC+YnXZY0gY6JiEiiZrzxKk/c8ofNw/Pef4fzb76Twrat55TfnZn2REQkUR+//nKd4fWrylnw4fsJVSNNpRARkUR16dV7q7bOxVu3ScukEBGRRB1wwsn0GjwUiC64OHrcKfQYMLCRe0lLkfNrZ+WKrp0l0nq4O2VzZ9OuU2c69eiZdDktia6dJSLSGDOj1+AhSZchMag7S0REYlOIiIhIbMWdxAAAABdwSURBVAoRERGJTSEiIiKxKURERCQ2hYiIiMSmU3x3BOXz4e37AIf9vgnddkm6IhHZSShEWru1S+GOI2H98mj4rTvhu69C537R8IrZMPH7sOAtGHQIfOlm6KpvA4vI9qHurNbug39uCRCADSvhvYe3DP/ruzDnJajaCLOejwJFRGQ70Z5Ia1fYbuu2Nu2j/+4w77W64+oPi8g2q1lfyepn51GxaC1Fw7rSacxArGDn+Iy+czzLHdmIr0DxXluGe+4Oe38tum0GA0bXnb7+sIhss+UTPmLtq4uomLOa1c/OY9WTs5MuKWcUIq1d245w4WQ49V445W749otQ1HnL+ON+D10HR7f7HxgdE2mh3J2b3r6JQyccyjH/OIZ/zfxX0iWJNKpmYxWbZpTXadvw/rKEqsk9dWftCAqLYMTJW7evLYO/nwmrF0TDVeuhU5/c1palNxa/wcRPJzLx04kArK5YzVWvXMWo4lEM6aIL80nLZW3yyetYSM3ays1t+d13nl9l1J7Ijmza+C0BArDkffjo8eTqyeAPpX/g/KfP3xwgtRznnaXvJFSVSHYsz+g6bhjWJtqc5nUspOsJO88HH+2J7MiqKtK0bcp9HQ1YU7GG8dPHpx1nGKOKR+W4IpGma793T4p260rVsg0U9umw0xxUB+2J7Nj2PR2KumwZ7jwA9joxuXrSqPEaarymTpth9CjqwVWHXMXQrkMTqkxyrbqqirUrtpyuvnzhfD54YRLlny1OsKrMqtdWUDF/DV4drb95RQW0GdBppwoQ0J7Ijq3rIPjOy/DOg5DfBvY9o26otABd2nbhS0O/VOcg+m8O/Q3jho1LsCrJtTnvvM1Tt/6RdeUr6TloMHsccjivPDQe3LG8PI6/+EfseeiRSZe52dpXF1H++CyodvK7tqXneSMpLG6fdFmJ0M/jSuKqa6p5as5TzCyfyWH9D+OA3gckXZLkUE11NXdcdC7rVq7Y3JZXUEBNVdXm4a69+3LeTX9JorytVJVv5LP/K4WaLdvOdqN60uMbezVwr9j087gijcnPy+eEISckXYYkZMOa1XUCBKgTIACbNqzPZUkZ1WyoYult79QJEIBNs1dTvaaC/E5tEqosOTtX5912tGztJl74pIyV69IcvBaRrJTNnc0Tt/yBvIK6n2d7DhpcZ3ifLxyXw6oyWz9tKTWrtn7P16ypoOzP7+LVO2bPTkO0JxLD4+8u5gd/n0ZFdQ1FhXncdsYBHLVnr6TLEmlVaqqr+ef//Zo1y8o2txV16Mieh43hsNPP4pPXX+azGZ8wYK8R7HnYmOQKTdFQSFQt28CSP06hw+jedDxiAGYtvidqu1CINGDe8vU8/t5ienRow0n79KNdm3wAfvOfD6kIZ2RsrKzhmiemK0S2o2lLp/HcvOcY0GkA44aNo21+26RLkmawYtGCOgEC0LVPX47+1ncA2PuoL7L3UV9MorTMGjmGXLVsA6uenENNZQ1djtk5fpJBIZLBB4tWccptr7GhshqACW/N45HvfA6A5evqftdi6eqNOa8vrZoaeO1m+OgJ6DEUjvoZdBmQdFVN8vy857n0+Utxojfrc/Of4/Zjbk+4KmkOXYp706ZdeypSjncU77JrghU1rHpdJav+O6dOmxXm4ZU1W0275tl55LUroNOh/XNUXXJ0TCSD8a/P3RwgAFPnlfPWnBXk5Rlf2qfuivGV/VvIhvrVG+GZq2D+6zDtfhh/ypZPTtWVsHJuFDQt2ISPJmwOEIBXFr7C3NVzE6wouqbXivvvZ+4557L4f/6HysUt83sLtTatr2TSfdO57+ev8tQd77F2Zcv6gmmtwqIixn7vMtp36QrAgL1GcthpZyVcVWbVKzZCVd09kcL+Hen2td0hb+uuq9VPzaFmU/VW7Tsa7YlktPVKYWZ8tmojl4/dg6G9OjBtXjkH7tqdcz43OPflpfNh3cuGUDYdls+ENYvhkfNh7RLotiucdj/0HpFMjSnWVqzlpYUv0a2oGwf1OQgzo21B3a4rw2iTl+wZLyvH38+Sa64BYP3rsH7qVIb8+98tss9747pKHvvjVJYtWAvAmuUb2bCmki//aH82rqtkXfkmuvftgKXZ6CVhtwM/x9ADDmLVsqVM+fejPPy7qxiw1wgO+/o3adOuZX3vorBfB/K7tKE65cB6uxE96LB/b7yimvLHPiXl8w9eWYNvrIK2+QlUmzsKkQzO/twuTJy2kHUV0SeJ/Qd15c8vzGTSR2UU5hsXHD6EO84qSbjKerrvCove3jJc2B469ILxX40CBGDlbHjip3BustfQmr9mPt984pss3xh9Q/mogUdx0+dv4lsjv8Xri15nY3XURXjysJPp27FvkqWy+qmn6gxXzPyUDe+8y6YZn+AbN9H5+OMo6NEjoeq2qKlx/vmHt1mxaF2d9kUzynl38nxefeRTqitrKCjMo6hjAbuV9OGgk4eQn59sh0Refj4v3Hcnn5a+AUDZnFlsXLOG47//40Trqs/y8+j5rZGs+u9cqldupN2onnQM3VUdD+5HzboqVj+zZa+57ZAu5HfZ8Y/nKUQy2LNPZ246fT+ue/IjKqpr6NuliMff+wyAymrn1smfkp9nfH30QAZ0ayGfmD7/C1g0FVbMgoIiGHst5BdCeb3uoLKPkqmPqGto/PTx3PP+PZsDBOD5+c/zbtm77NdrP/795X/z4oIXGdhpIAf3PTixWmsV9u/HhilTNg9bYSGLrryCytlzAFh2223s+ugjFPZJ9grJiz5ZuVWAAHTo1pZX/jGTmnBmUVVlDWtXVjD1mXkUFuUz+oRkj0N4TQ2zprxVp21mCJSWprB3B3qeNXzzsFc7q56aw4b3l5HXuZAOh/ajeuUmCnu1p9ORLaSbu5kpRDJYtaGSyx6cxppN0Zee5i7f+stONz83kz+/MIu/nF3CkbsX57rErXUfAhdPgaUfQpf+0K5b1D748Ogncmvtfmwy9QH3fXgf15den3bc2sqoC6ZPhz58bY+v5bKsBhVffDEbpk6jcv58KCyk8/HHs+qxxzaPr16xgvKHH6H44osSrBIK26Z/O69r4JjI/OkrEg8Ry8uja5++rFy8cHNbTVUVT99xC3PfnUpNVSX7n3Ayo0/6SoJVprdm8nzWTJ4fDSzbQMWs1eT3aU+nowaQ127n2LzqwHoGr3+6bHOANKSiuoabJ83IQUVZysuD4j3hpT/A/xsOd34BDr4IRn0deu4Boy+A4/43sfKenvt02vbBnQczuk/L/NXFNoMGMfSpJxn8j3+w2+Tn6XDE4VtP1AIuH9R7184M3rtp3Wo9+ndspmqa5gsXXFTnC4fVVZW8N+kpVpctYe3KFbw4/i5mT5vSwCPkjlfVUP7ELD67vpQ1Ly/canz1Z+sp+9M7rH5+XgLV5Z5CJIOKquw3CnOWbd2FkKjXboFXb4bVC2HBm/Do+XDiDXDxm3DC9dC2U2KlDehYdxc/3/K5YO8LuO+4+yjMK0yoqsZZfj7t9h5JQY8etN1jzyisa+UZnY4bm1xxKY7/7ii698uue7Vt+wIOPKllnFLbsXuPrS51Ut+891vGb8usfnYea19cSNWyDfiGzDWvnjRfZ2ftzIb379z4RMGydRV89Nlq9uyT/X22u6UfRT+V22VAdNXeVBVr4Y8j4bDL4NBLkqkvuHjfi3lv2XvMXzOfNnlt+Mnon3DanqclWlM2Vj/5JGsnT6bNrkOoXreu7qnSNc7G99+naNiw5AoMPn7jM1Ysyu46U+07t6Fdx+Sv9VRTXc30lyY3Ol2bdu2av5gsbPx4ReMTAVTX4JXVOjtrZzW0uCNf2b8/j74d7a6aNdxjMWfZumRCZNNaeOBrMPcVwGDQwdGpvfVtWA7P/A906gujTs15mbUGdh7Iv0/+NzPKZ1C2vozrS6/nxrdv5PODPs/PD/o57QtbyEkKKVZOmMBnv/r1loaCrd82eW2S3xgDvPX47Kyn3f3AlvFTyY9d/1tmvf1Wo9MNP/yoHFTTuMLe7alc3HjvQ2G/juS3gJBubgqRDKqqa+ocTG8oQDq1LeCQoT1zUFUaU+4OAQLgMO+1hqef9kCiIQLRVXunLpnKtW9eu/mLhRM/nUh1TTW/OvRX3P7O7byx+A326r4XF+93Md2KuiVWq7uz/K931W1M0+1i7VtG+G1M+Z3vTPLyjZFH9ueA45K/LEfZvDlZBciBJ59Kl17Jhl7ForWsfHQGlYvWQr5BIxdbrFyyjpr1leS1b7ndtNuDQiSDa56YzpS5K7Oa9odf3J0u7RJaUVbOadr0s56DGc/Abl9olnKy8d1nv8vLC1/eqv3x2Y/z+Owt31+p7fa644t35LK8OspuuonKBQsanW7BD37IkEcepu2Q5H5be9GMlVRsbLwPvqbaefe5BYw8oj/d+nTIQWWZeZZXUHh/8rP0HbYHw0Ync8q3u7NiwkdUlW2obWn8TlVO1fKNtNnBQ6TVHFg3s7Fm9rGZzTSzK5pzXlPmruTuV+ZkPf1fXprVfMU0Zq8vNf0+U+7Z7mVk68nZT6YNkExeW/wa6yqTO3Fh5QMTsptwwwZmHX8CS669tnkLasDCT8qbNP0LD37cTJVkx92Z+tTExicE1pev5D83XMf61auauar0atZXpQRI9gr7JhvSudAqQsTM8oE/AccBw4HTzWx4w/eK744XP23S9IvKN/Lx4tXNVE0jusc4u6YwuQOUz817rsn3eWzmY41P1Ey8omm/F7Pi3vuomDOneYppRK/BTTsmt/CjciY/kFyQTH1yIu8//2zW01dXVTHjjVebsaLM8toXkNeh6XsUVctaxo9pNadWESLAgcBMd5/l7hXAg0Cz/Qh3VYwflpkyL7uur+3ulZuafp8+o7Z/HVnq3KbpJx88P//5ZqgkO17d9FM0q5Yvb3yiZrDLiB4UFjXtTKAPX1rIuvJkLtA4461Gjt+lsWhGMqFnZrQZ1PRT42vW7/in+LaWEOkPzE8ZXhDa6jCzC82s1MxKy8rK6o/O2nfHDG3yfQ4ektC1kzr3a/p9eu6+/evI0pl7ndnk+xzU96BmqCQ7eU08YF44aBDt9tmnmappXIcmXqvJPboMShK69m76ultQmNxh3Pb7NPGqFPlGm12S+05WrrSWEEl3ydGtdhfc/Q53L3H3kuLi+JchKRncnVu+sR/9uxZlNf0Xh/dmSHFC3/w96NvQrgkB1nMPGHZM89XTiF277spF+2Z/eZADeh3A+Xuf34wVNaz4u9/JetoOY8awy9/uw9KcApwro08YTFMuLrzLyB50KU6me/OQU06nx4CBWU9f0LYt+3zh+GasqGHt9+1Fl+N2Jb9bdkHd45wRWMIXt8wF8xZwuYbGmNkhwNXufmwYvhLA3TMexSwpKfHS0tJtnvfMpWt4ZMpC3pyznI0V1Zy0T18O2KUb41+bx9qKan74hd0Y0b/rNs9nm1Ssi07d3bQGBh4Ek34Faz6LLsKYXwhF3aIvIu59Kux1EhQkf+76/DXzeXLWk0ycNZFl65fRtW1XhnYbStn6MtrktWHMgDGcusepdCnqknSprH97KhumTqXtXntRtWIFG995h7zOnWi7+x5UL19GfrfudDryiCbvtTSXlZ+tY+EnK1m2cC1LZ6+h58CO9BvamSnPzGN9+Sa69upAr8Gd6dG/I3se0oeCwuS+DOfurFi4gLUrljF76hSWLZzH+tWrKN5lCIOGj6RTj56UL1nMhtWr2eOQw+naJ9krOteqWLiWlf+ZSdXSDRR0K6Lt8O7kd27DpukryetYSOejB1HQebtcwbdlXLO/Aa0lRAqAT4CjgYXAW8A33P2DTPfZXiEiIpKgFh8ireJ7Iu5eZWYXA/8F8oG7GgoQERHJjVYRIgDu/gTwRNJ1iIjIFjv+UR8REWk2ChEREYlNISIiIrEpREREJDaFiIiIxKYQERGR2BQiIiISm0JERERiU4iIiEhsreLaWXGYWRkwtxkeuiewrBketzm0plpB9Tan1lQrqN5ay9x9bDM87nazw4ZIczGzUncvSbqObLSmWkH1NqfWVCuo3tZE3VkiIhKbQkRERGJTiDTdHUkX0AStqVZQvc2pNdUKqrfV0DERERGJTXsiIiISm0JERERiU4i0YmbW1cy+l3QduWBmY8zsPzme5+blm8T8t4WZXWJm083s/nrtJWZ2U1J1xWVm55hZv6TrkK0pRFq3rsBOESIJac3L93vA8e5+Rm2DmRW4e6m7X5JgXXGdAyhEWiCFCGBmg83sIzO708zeN7P7zewYM3vFzGaY2YFm1t3M/mVm75rZ62Y2Ktz3ajO7y8wmm9ksM8vlG/Q6YKiZTTOzt1I/KZvZLWZ2Trh9gJm9YGZTzOy/ZtY3hzViZj+tXS5m9kczey7cPtrMxpvZF83sNTN728z+YWYdw/ix4XV5GfhKLmsONi9f4PdARzN7ONR0v5lZqHOOmfUMt0vMbHICtW5mZrcDQ4CJZrbKzO4ws6eB+1rSHpWZdTCzx83snfC++7qZXRXW5fdD3WZmpwAlwP1hXW/XAupM+5onvD1Ihrvv9H/AYKAK2JsoWKcAdwEGjAP+BdwM/DJM/3lgWrh9NfAq0Jbo0gfLgcIc1v1+uD0G+E/KuFuIPr0VhvqKQ/vXgbtyvHwPBv4Rbr8EvBnq+iVwOfAi0CGMvxy4CigC5gO7hdfhodTnl9DyXQUMCOvIa8BhYdwcoGe4XQJMbgHr9JywPl4d1ud26daThGv8KvCXlOEuQPeU4b8BJ4Xbk4GSFlRn2tc8ye1BUn/aE9litru/5+41wAfAJI/WiveINiaHEa3UuPtzQA8z6xLu+7i7b3L3ZcBSoHfOq89sD2Ak8Ez4RP0Log1hLk0BDjCzTsAmog1wCXA4sAEYDrwS6jsb2AXYk+g1mRFeh/E5rjmdN919QVhHphGtF63BRHffkHQRabwHHGNm/2tmh7v7KuAoM3vDzN4j+rA2ItkSgfR1NqQlbw+2u4KkC2hBNqXcrkkZriFaTlVp7lP7JZvU+1aTzHKtom73ZFH4b8AH7n5I7kuKuHulmc0BziX6lPYucBQwFJgNPOPup6fex8z2ZcvybSkyvc6py76Ilmdd0gWk4+6fmNkBwPHAtaHL7SKiPY75ZnY1LWB5Zqizode8JWwPckZ7Itl7ETgDojN1iK6uuTrRimAN0CncngsMN7O2YQ/p6ND+MVBsZocAmFmhmSXx6e5F4Mfh/0vAd4g+zb8OHGpmw0J97c1sd+AjYFczGxruf/rWD9nsUpdvQ+YAB4TbX222anYw4Wyr9e4+Hrge2D+MWhaOi52SMnm2r8V2l6HOOeg1B3bwhNzOrgbuNrN3gfVE3S6Jcvfl4eD/+8CTRMcN3gVmAFPDNBXhwORNIVwKgBuIuuxy6SXg58Br7r7OzDYCL7l7WTgBYIKZtQ3T/iJ8+rsQeNzMlgEvE3XL5Uy95bsBWJJh0l8BfzWznwFv5KzA1m9v4PdmVgNUAt8FTibqPpoDvJUy7T3A7Wa2ATgkx91z6epsh15zQJc9ERGRbaDuLBERiU0hIiIisSlEREQkNoWIiIjEphAREZHYFCIiWQjXRPpx0nWItDQKERERiU0hIpKBmf3czD42s2eJrkGGmV0QrjL7jpk9Er5h38nMZptZYZimc7jKa2GiT0AkBxQiImmEayWdBuxHdBn60WHUo+4+2t33AaYD57n7GqKrzJ4QpjkNeMTdK3NbtUjuKURE0jsc+Ke7rw/XSJsY2kea2UvhKrNnsOUqs3cSXWCS8P/unFYrkhCFiEhm6a4JdA9wsbvvTXTNrCIAd38FGGxmRwL57v5+zqoUSZBCRCS9F4Evm1m78DsoJ4X2TsDicLzjjHr3uQ+YgPZCZCeiCzCKZGBmPwfOIrrM/gLgQ6Lf5vhpaHsP6OTu54Tp+xD9Pkpfdy9PomaRXFOIiGwn4ZL749z9m0nXIpIr+j0Rke3AzG4GjiP69TuRnYb2REREJDYdWBcRkdgUIiIiEptCREREYlOIiIhIbAoRERGJ7f8DhbFpRjiGRwMAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.catplot( data = data[data[\"area\"] > 0], y = \"area\", x = \"day\", order = order_by_day)\n", + "plt.title(\"Wielkość pożaru w podziale na dni (bez pomiarów bez pożaru)\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Możemy zauważyć, że usunięcie zerowych pomiarów nie wpływa znacząco na wykres, sugerując, że każdego dnia było również wiele bardzo niewielkich (ze względu na area) pomiarów." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Miesiące\n", + "Przejdźmy następnie do analizowania pożarów względem miesiąca" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.catplot( data = data, y = \"area\", x = \"month\", order = order_by_month)\n", + "plt.title(\"Wielkość pożaru w podziale na miesiące (z pomiarami bez pożaru)\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Nietrudno zauważyć, że w miesiącach zimowych pożary praktycznie nie były rejestrowane, natomiast szczególnie w letnich, były już znacznie częstsze" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.catplot( data = data[data[\"area\"] > 0], y = \"area\", x = \"month\", order = order_by_month)\n", + "plt.title(\"Wielkość pożaru w podziale na dni (bez pomiarów bez pożaru)\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Usunięcie zerowych pomiarów przede wszystkim skutkuje usunięciem pomiarów ze stycznia i listopada - nie zmienia jednak znacząco uzyskiwanych wykresów." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Temperatura\n", + "\n", + "Zbadamy teraz zależności pomiędzy zmienną temperatury a innymi danymi." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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Yb25fYJiugEAgOBoCAYUNu5pp6vay5Ysuw9+vSYaZ+WmcV5hx0jomiqKyr83J0sqiQeV8pP6KmTVtzhGVBiA4fgxr8RSBQDC6CRf+HkxU+ngzVPHpoYZDtvR4mZqVyI+/Ohm/ojI+2UpFQQpVdQfL8VvNMilWM4/1z4pq4ZgP/3UPZbkpUeGVh6raOBo4VP8Pdo4tPX1s3NXMAwvK8fQFSLGbae3xsru5F0XF8Fpo/fVvXy0kPSGe5ZeUYI+P4+nN+yL6N1a/2swmwxXE/PSx40wLBGMFj8fP9uYeJCQykixkui2Gv9+Z+WmcPzlzRNieE8UBh4ufrd3CuZPSWfODCnwBxfBaJcebePzamXz+ZQ83zpnCuk8bALhiZh57W3oB47FXMHYQjp1AIDBkoPD3YKLSx5uhOmxDDYc8JdXKd84u4JaXt+rnuvzSEqCeqrpuPYndJKOX8B+K5MFQK2+ORIba/7HOUUXhypn53Pqng9d0aWURy1//nE63zzA0KLvfoY43m/hF2H7L5pXwh3/W6f0bq18//7KbB66cHhWCNClTOHYCwUjC7fGxfkcLd792cHxZdkkJ91xyGne//rn+3srLy05apy483cDjDzI1K5GLSnJY9HwVaXYLSyuLInLs/vPyUlQVbvz9Z/p7N184FWtcSOBchGWeHAjHTiAQGDJQ+FsTlS7KSqR8QtoJbdtgDlu4McxJsRpqmeWn2altc+r5eT0ef5SA9rLXdvL0wgq6PH4SLCb2tvaiShyW5MFo5mj7P042sXx95DV9dOPBHJD7N+wiKykef1DRk/snZiTw84uK+dWft7G0soi8NDvuvgCdbh83zinSHfKJGQmsvLwsqsjCsx/U8dh3ZvDmKF4lFQjGOj5fkB3NvbpTB6HxYfnrO3nk6hm6Tt3pE1L5SuHJ5dSF269AUOXOV7dT5/CwtHIKi2dP5sG3d+sRIwnxJh65ega+gNIfJeHhobf3RlzTR97Zy+LZhYeMbhlpnAwasMOFcOwEAoEhA4W/IbaotBHDOTDHEp/OT7NHFdV4/NrTeeOmWbQ5vXpRj7d3tURs8+CCcsNz7XD7aOn2sPKtPfqKVZrdQlO3N2K7WJIHo5mj7f92Z1/U/ml2C8Xjk/jVxaeSZDXzvTUfR80iu3wBfnjeJNz+IL8MW7W797JS8tPsQGiVcGZ+KotnF6KoIa3BFz+qo9PtIz0hftSukgoEYx2fL8j6HU34g4rh+BJUVaZmJ5KbamNGXupJ59QNtF9apcuXqhpYdslpesTI1KxErjkrn5vDtr33stJBBc7D3xvJ1ZlHogbsaEI4dgKBwBAj4e/BRKXDGWxgBo7a4YuV22WUe3fj7//Fm0tmcU5hJgC1bc6obbSE84HnapIkxqeGnIk0u4X6Djc/v2gqBxxu1n3aQFO3F6tZjil5MJo5mv7X9g+XO0iMNyFLEr/801YWnV/If71TbTiLnGw1s83drUsWaJ/f+coOZuan6Q8j+ekJFI9PjrrHxlJxGoFgLOH2+Pi4PiRn8OCCcsPxJSMhpBU6Mz/tpHuIN7JfqzaFxMidfUGSrHGs2lRNmt3Cjy+YErXtFx3uQwqca++NS7RGRK2MpBWxoebQC4w5eaZCBALBYTGY8PehiDUw7293Dama5VAwEh8fLPdOw2ib1X/fxz2XRp7rsnklrN68jy+7POSkWPUqjb94eRvPvFfLwnMKqChIYfXCClp6vNS2OceUKOzR9D/AqeMS+ekFRax5P1QV0+0L8vBf9+qrdjfMKuTGOVPI6XcUvX6Flh4v7c4+FNW44lt4P2rO/ZtLZvHHxWfz5pJZYkZXIBihuD0+/tXYTWuPlxtmFfLnT79g2bySiPHlnktLCapBzphw8jl1YGyb0uwWkm1m1rxfy6d1oaqhV8zMY3dzT9S2L1U1cNe80yKu6S8uOpXJ4xKixvGGLtcxscPDwVDsuCA2YsVOIBAYMlD4OzfNhjXOxCd1HYec4Ys1MNd3DO9MXE6KlSWVU/TQk3WfNmCJk7CZTXy4r53sZCtZSdH5eXtbnUwaZ+OhBeW4fAFsljie2byPva1Obki1ccXMvKjcurVV9fysciqLX6wak+EihxJ+PxR72iJzaBQVXcYgPMRSCzXqdPswm2T2NPdiirGCGl70RuRgCAQjH0VRqe9w8ll9d1RO7Ns7m3hgQTleX4DxKVbSbGZOzU4ec8LjQyEQUDCbZN1+aREhV1XksWJ9qJiML6joUgeKGj1Gdrp99Hj8LDq/kPg4malZiWSnxLO/3aWHrcsSeP1B9jT14vUr5KRYdUcxN9VGWW7KCR9HTwYN2OFEOHYCgSAmcXEy5RPSKMs9vJj3WANzstUcIRWgGa9jEe+vKCqfN/XqIXxWs8wdFxdjj4/jmtUfReTc/eaqGfz85YPnsvLyMnY19eL0BqMqXqIq5KfZuGFWod5egHnTc7l9gJjuWAsX0fp/KDl1AzHK0buqItpBXrWpmsWzC0mwxNHj9fFSVQM3V07hrnmn6Q80Wh9pOXYiB0MgGPkEAgpbGjrp8QZiCo/f+qetIW02i4lzJmactE7dwArES+YUsbaqnilZifp1W/dpA0vmFNEXCPLKlkaWzCmKsFd3zTuNxzfV9MvTWLnuvIl83twTEdYOIVv85PfOYHpuMnNLc/RjrN5caziOHu9JtFg59CLMfmgIx04gEBySw415NxqYH7/2dBq7PKx5vzbKeB2LmTijNra7fKx+a3dUzt2z150ZMYNpt5ho7fGytqpedzxVFdZW1TN/Ri6rNtZErC41dXsxyaHjTc9N5obZk/H0BbDHx9Hj8R31uYxmAgGFnV92E1BUHr/2dFb/fR/bGntY92kDP79oquFKbl6qjS63j4yEeCxxEp2eAH/9vImHr57B7uYeggo8unEvJlnilFQrFpMscjAEghGMoqi8V9OKSZbp8QR4cEE5T28OjQUQ+s1OzU7kqe+dQUaiheLskaGReiIwqkC8alM1/7vobMxxsj5J2tTt5cWP6lh+aQlZyVZWb96nVxAtz0vlv/9WrU88fvfsfB55Zy83zCo0HHN7vQGuOSuf1Zv36Z9PzUrsnzRrIjfVTklOMrIsHfdJtLGgAXsiEY6dQCA4JEPVjdMwGphVFb712HtRxmv1wopjMhNn1MbwXC0t5ESSwOHy8XLVwdU3q1nm2evOxG4x0e7yoagQJ8Oir0ziv/9eG9HeRecXsub9WqaNT6aiICVKq23F/FJKTzm5qrlpGM08L7+0hAWBIA6nj+zkeP0hResPkww2SxypCRZKclJYMb+MxS9Wsej8wgjnDeC2ddv0B5nDuR8FAsHxIxBQ2NbYRbcnyP72bl6qaqDT7WPZvBL4Zx3bGnuwmmUyEy2cnpuC3WY50U0+ocSqQNzY5eE3f90TsTLX6fYhy5CdHM+3z8wn3W4hIT6ORKuJ//fVKez4w7/w+hXGJcXrx4xVUGXF+s91+Znpucl856wCHnx7N/Om57K7uZcOVx+TsxJOyCTaaNaAPdEIx04gEBySI4l5Hzgwf7iv3dB4mU2SPhN3NCEfRm3UcrW03K6BYZba6pvXrxBnkki1W1j51kEh15svnBrV3vx0W79zt4+bv17Mouc/iTB6d726g6lZiZTnn1itvxOB0czzstd28sCCcla+uZvCcWUsm3caT27eFyX0fv+V05FliThZ0iuVGt0vsfJLRA6GQHDicXn6eGNnK3e/uiNqrF2+PjQW3Pqnray8vEw4df3EqkBc0+akzuHhxY/q9Amtb5yWTVBR6XD3MT7ZqqcDWM0yD1w5nVsuLCLFbmFcYmgSTQvfDB9rl1YWUd/hxutXMPXPP94wezK/eXt31Li88vIyQ4kfMYk2cjn5ppQFAsFho4VWhlfWOtyYd83xCidcKkDLmzrSSl1GbSzLS+Hhq2fEzO26Ymaevq3FJHPrum0R2zzyzl59G227+o5QOOmc4vE4DLTavH6F+k7PiKkwdjyJNfPs8QXw+hVuW7edoKKw8vKyqP64bd02tjd2kWiNi+jDcKxmGVU9mGtyNPejQDBauXj+lcw494KYrwP19SekXS5PH9ubenWnDiLHWq9fQVVVfvvdmcydliWcun6MKhCvmF/Ky1UNQGhcfeLdGv62u5XPm3q5evVHfHKgOyrH+9Z12+j2Bvmvd6pRUVlaWUSn28eLH9WxeHYhDy2YztLKIuxmEy98WIfVLFOel4rVLOPpCzBvem7UuHzHX7ZzVUVeRHvFJNrIRqzYCQSCQzJYzPtQV9kOlRB9tNo1sdoIYI2TY67+aO1weYOG22gzmlpyusvr5+GrZ/C79/expHKq4UxrnCxxwOE66WY0Y8082ywhU+P1K2QkWmnpMXaIN+5u5dTsJG6+cCq//2dd1Exz+Crr2qp6/mfR2QQUReRgCE4qmlodFF9/X8zPa+665oiPvb+2lhnnXmD4WU5WBm+9us7wM5enjy2NvTEnu7SxNifZSklOonDqwjCqQGySJTrdkfnaP7lgCj/rt5HxMWyaSQ45go++U80PvjKRxbMLiZNlCjMTiDNJtDn7eHJzLZ1uHyvml7L2kwMsOr+QnFQrjd0ew2NOzU7Sx3UxiTbyEY6dQHASczihj0Yx74dTnVCWJS6als3axefoVbtKcg6WVj7cPL7DaWO8WTZ0OGZNyeSCqePw+P34FMVwm4qCNJZUTiGooFcc087z2ff3s/zSEpa9tlM//2WXlNDr8eFw9Z1Ujp2iqKTY4rhnfmlEGNayeSU8s3kfOSlWrqrIw+0PYjEZ90dQgZ+/vJVbLixi3vRcZBkeWFBOvcPF9LxU7np1O+MSLfz7N6cRVFUUVaUiP/2kzGcUCIaDIMR0Gnc/e3vUe4qiUt3aw742F4oK6QmWmDld98wvpTQnSTh1BmgViEtyFHY2dVPncPP0wgoe3biHqrruULQC6PnJRVmJMexVOlazzLbGHlZtrGbF/DLMplCI+/52Jx5/kCvPyEOWwOMLcHp+Bvdv2MN7e5NZeqHxROUpKVaev/4s3L4A+ekJTMpMOKFVMwWDIxw7geAk5ViUjD+cVTZFUXl7V0vM7xsu7Zr6Dhf7Wp0srSzi0Y2ROV2tvV5++adQQY7126LLR9897zTcfUFWbayJOKbXr1DT6uTdve38ZM7kCP27v3z6BWUTUklNiKe2zTmmjFwsAx5+L91z6Wk8vbCC5v5tVm3cQ5vTx/fPLdCvf0GGjWXzSli+fmfUapzXr3BKmp2HX94a0VerNu5h0VcmEW828YuwYjX3XlbKZeW5wrkTCI4zbo+P/9vVGpHndee3prFifil3hU3urJhfSmFmAqdlJ2GzmU90s0cssYpPXX2mitVsJsVupiDDxs8vKuaLDleUJMyK+aWMSzLzxk2hqBW7xYQvqJCREE9Tt4e7X/s8yr4+tKAcgG2NPTic3qi+W3ZJCTe/tIU6h0e32ZMyD67WCemZkYdw7ASCk5SjDX2Ew1tlO9T35afZufey0gijtmJ+Kd0e32E5SAOdjw6Xj3aXD7vFxIMLytnf7iKgKIxPjucHz36ihwmFJ6lrcgdOr5+sJONKjpMyEyjIsOEPKCTZ4ggoKmm2OC4//RRu/fOOMWfkBjPg4X2bEG/mR/2i7dr1mjY+SXfGIHStn9xcw++uO5PP6jrx+BU9xNJqlpmQauO3351JQnwc2Unx5KXaMZtkFEXVj6Mdu77DzdaGLk7PTxv111ggGC24PT62fNnNfoeLG2YVAqHc13vf2MUdFxfz1MIz6PH4GZcUT05KPBPSEsXv8xDEKj71+LUzufH3n/FfV5dz17dOwxInoyg2spMtPPW9mWxt6KEvoOBw9XH5b3fwX9fMwO0LRgjCP3L1jBihm5Ju3xq6vLxc1aALnJdPSGFPUw+XlOfqGq4DnxGOxXOE4NgiHDuB4CTlWIQ+Dlxl08PtfMEoZ+xQ31fX4eaxfjkBzbF6/N1qrjpjAi9/+oUeUjJYqIeiqGza08K2hm4UFZLjTaQnxkeIli+ZU8Qf/tnAaTnJensyE8wsqZyCVu9k3aeh8txPfW8mvoDKivmlOJx92Mwm7ttwsGrmA1dOp93p14uuaDOs505K59297WPKyO1vNzbgp940ix6vjwcWlOPpC35FY+8AACAASURBVJBsNetV1LSk/xvnTInq+zqHh49qHeSl2Xni3WrdqVsxv5QVb+zk7MJxmGQ4syCdvFQ7c0vGs2FnE2l2C989O5/sZCsNnW5eqmqIKawrEAiOPV5vgFqHO+I3/frWRhaeU8CLH9XR6gxNpp09KYOynCQSbPEnsLWjh1jFp7Y1dOH1KyTb4/iiwxsR+r/80hLGJ1u4+7WQdIHXr/B5U6QoudevUOdwGdrqOJPE2sXn4g8GMZtMvLqlEVt/UbPP6jp1qYrw/ObwZ4RYdr3O4RpT0SqjCeHYCQQnKcci9DG8IEqa3RIRbne4oZZ1HS7qHB6eeDcy7DE72co1Ffks7l8FGmwVrL7DRXWLUzdqSyqn8LCB8Ovi2YUk91dfTLNbsFniWL1hj378pZVFjEuy0Ob06TOoBRk2fjV3Gj+5YAq+oMK6Txu4dd02Fs8ujDj+std28tTCM3h3b7v+3lgoDV3X4TI04O1OD/Ud3ojwnaWVRbzwYR0AV8zMo3h8kmHfBxW4+9UdoXAgCcYlxrPm/RounzkhIsTovsvLmJhpJzfFxvVfmcjDf90bFcKpOZmT+0V2Rc6HQHDscXt8fNbYTVNX5G9+yZwi1lbV6xUUZ0xIZUaucOoOh4HFpzTnKzfFxo1zpiAh604dHLQ3z153pj4OQqR+q8bzH9ax7JISlr++09BW33/ldDITzfzkgikRjqN23HAN1/BnBLslznBs393ci0mWDzkZKzj2CMdOIDhJOVSVyqEQXomyrbePHzz7T8OQjIkZCagqPLSgnOrWXn0W8PFrT0dVQxp3ifFxFGTYqHN49ONbzTIZCRb9AWLgcQc6Sy09fTy6sZo0u4UrZoYMopEzUpBuJzvZyor5pbQ7+6KM5aMbq3n2ujP5sNbBDbMKsZllEi1x3Bx2rTSDN1DVwOtX6PH4I85hNJaGHugcJcQw4BJyVP88urGaWy4sIqDAqk2h/hiY43jzhVN57oMDejiQPxjaf9H5k7m1X4hc6n8O+K+Ne7lt7jTqHC79GNp3aQ8cT7xbw+6WHgrS7YPmcgoEgiNjf+0+pn9lDrIEDV0e1LCx7xe/h4Lx48if8zQ2s4kzC1KEU3eYaLIHd76yw9D5Kh6fZGjPOlw+3an76demkJ9mY2nlFF6qatD15zrdPlRVYdH5hVGh8Wl2C/vanKTZ06JsYfj4apKJekZQVCUq1+/mC6dijZOHNBkrOPYIx04gOEkZTMLgcI8zMSOBz7/sMTQ6LT1edjf3Rjxo33tZGUXjEtjvcPOtx96LSNR+8u81eqL20soigqoa87gDq192uHwRYuQ3zCo0dEZyUq3sd7hY+0kdPzx/cowQ0b6IEM6llUV6iGH4yp9GeP5dVpKVnBQrnW7fqCwNbZRP99x1Z0Y5Z0sri2h3GZc3n5KVxE9+/xlev0JTt5cXPgxpKeWm2Gjs9mCNO6jZtKu5h1Uba/RckIEiuUvmFNHQ4SLdbjH8Lq2UukmS2N3SI3I+BIJjTFBR8KsS+dfeS19Awdflidqm9417KUi3U5aTgtUqHi8PF1mWGJdk4aEF5dgtJn38BE0qxrjiaGZiPJY4KWrc1CInOt0+llYWYbPE8d7eL5Ckgyt6OSlW3V4qswoHHV8ri7Moy03VnxEURaW+w8Pqzft0AfXi8cm093pZ+dZuMQafIMQvTyA4iTGSBzgSDjhcVLf2Ghodu8XE9c99EjHI3/nKdh799unUtjsjEu+Xv76T3147E5cvSFOXG6vZhKIS87gD21DncEWIkWtC1gONXbLVzA+fC80m/uA81fD4+9qcUatQ2syl9t7kcYkkxpuoKEhhTvF4/XtWb65l5eVlzMxPJT999IWgGCXE3/bnbdx+8TQWzy5EUUGWoCg7kVSb2fD69QWViPeaur2s2hjKt3t8U8iJWzy7EFu/WK72PUFFNRSTf2BBORLG94IswZI5Rdz31i5WXl6mr9hqK37rPm0YE+GwAsGJIKAoePpCv7kDDhc5KTZkiYhoBVkCm9nEqeMThFN3hBxwuPh/L4acOaO85OpmJ7fPLcbh9qGoYJIg3W7hQFsvKy8vY9HzVVE268EF5exu7tUdvIevKmdPy0FbfcXMvIjxNtb4uvLyMlLtZva3u2jtDUVxqCrc1p9frtlFq1nmwQXlMSZLxRh8PBC/PoFAcMRo4Xp7W3qxxMncPrc4orjIysvL8A14wM9JsfLds/Px+oJIHCxUooU2fvZFF8+8V8v9V05nxoQU9rU5DYWqtdA9jZYeL89/WMdtc0/Vv6+p26tXusxPt1Hf4eGFD+soyLDr2zR2uaNWou6adxqPb4qWOJDC/DOrWeaLDjePv1vTL/RaFxE++OjGvTx73VmjzqkDcLj6Is5l3acN1Dk8ZCZauGxGLq29XsYlWtnvcPLrt3Zx72WlPLapmnnTczHJUJ6XSpe7z/AhQQvf8voViscn8eTf9unhQgC17ca5fPUOFyZZiuqrey4tIcVuYX+7E19AxdUXjAphWlpZxPjk0RcOKxCcaAKKgqsviD8Y+uEqKrT19pGbaqOxy6NP8kzKTKDVIpNsE7+zI2VgIZKB46fXHwBJiogkueXrUynLTaMtRuTEnpbeiLz1oBqakPuPS0r4j9d3RqzeGU2E3ntZKR3OPp77x35aenIixtWHYjhwbl9g0Hx6kQM9vAjHTiAQHBFG4Xo3XziVpZVFuHxBZAlm5qdGrLjlpFi57ryJPPJOdPELLbQxqPSvEK3bxvPXn0VGgpW1VZ9HVMtcW1XP3NLxEe3JTg6FPjqcvgij0tTtZc37tfpqm9Usk5lwUMLg+Q/q+MkFkyNWonJS4ul0+yKOr81can8vmVPEhh1NLDq/kC863SytPJU7X92uh5EumVNER79I+WgyZIqi8mVX6JoNLIyQnhCvr/DWtjlZsf5zvn1mPpMy7Nw0Zyp3vrI94oHgzm9N4943dkX1NRxMsL+gOIttjT369wdjCMUXjkvk/g27+OF5k7jxa1NCIrmSxK837IoI3U2xx0Xl4T26sZqLTou8XwQCQWxUBdz+AC5fkAPtIfFxVVWRJfAFFVp6+shJsQGQajdjt8g4JKEleTSEFxgzcrImZSZy0x//FTG2PfzXvbzww7NItRuHaYbnQYZyoqG5u49kq4mHFpSTlmDmmfdkPWT+xY9CIfOlp4QmVd19AdZva+KG2ZOpae3lhlmFrPu0IXRAyXiFrzAzgfuvnK6v5mmTvLIU0uoTOdDDi/gVCgSCI8IoXO+Rd/bi7AvyzHu1FI9PJj89QS/SYjXLfPfsfN2p0/ZZtamaK2bm4fUr5KfZ+fNnDfpnH+/vYMkfP+OmOUWseb+WxzfVsOb9Wm6bO42JGQkoikptm5MP97WH5BGuPZ0XPjrA3fNOw2o+mMO1tLKIP3/WoBuR7JR4llYWYTXLNHV78fgC2MwmJqTamJGXypedHm6bWxxxjFu+PhWb2cQDV5ax6PxCNuxoYm5pDmver2XVxhp+9GIV11Tkk5Ni1c9L017bsLOZb656j+88/THfXPUeG3Y2owysujJCOOBw6QYZDvbRivllEbmCDlcfPzxvEgB/r27XnTptnztf2UF2kpXFswu55etTeeTqGaytqtdlDZbMKeLlqgYmj0uMuM6F4xL4z8vKIt77z8vKGJdk5j8vK+V3H+znobf3YpIkXThX+85HN1YjIxnOIrc5vQgEgkOjKui5s5pTBxBUVPLSbLpz19TtId4sY7fImGTxOHm0hNvKpm4va6vqWb2wgj/86Gz+Z9HZ7GnpNRzbNle309rjZcmcoohxc/mlJazf1qj/f9m8ElZv3sdDb+/BbjGjAoGgottCCBVZsZlNmE0S92/Yw5p/7Oeas/K59U9bWbWxhmfeq+W68yby49mFPPh/u6O+8+GrZ3BGQTqXTD+FN26axRPfPZ2HFpTT2uvlL/9q5KMDDsMc6AMO13G6ymMfsWInEAiOiFj6NdNzk3mzvxKmNgOnFWnZG8MwacnZzT1ePSzPapaZkpWIL6Dy2KZq1i4+B48/qBd5AQwFs5+//iwcLp++AqcV6biqIk9P/oZQOIq2TUFmAnGyhMen0Nbbh19RKctN4aEF5bh8AXx+hZxUa0iE3G6hocvDj2ZP5pdhlcU0B0hbGQyFpARjCrhmXH8W45LiR9zqXXi/agVhJAni+6+jtvrY5faTkRjPfX/ayg0xku63f9nNqo01+rG00t31nSEx+E63jx63n6cWnkGX28/4ZCtWs8T2hm4e+87p9AUUUKGhy82qTXv57tkFPHHtTJx9ATy+oOF3OvsGDwMSCASxUQGXL4DXr2CzmMhJsdHW24cvqKASWu2Zmp1EUFGxxAmn7lgysKDZuEQrJjkUdZKZaKE8LzXmqlx9h5uXqr7QI1uscTKpNhO/vmI6LT19pCWYee79/Xp0xO6WXp55r5aHrirnhQ/rIiJiXviwjju+Wcxj3zkdWYKfvxxp5x55Zy+LZxdS5/DoqQ4mGSoK0vCFpUh4/AG63H69YmZBho2iLOPKnsci/25gZEx+mp36TveoiJQ5lgjHTiAQHBGxdOmKspOiBmitSEtbr3HelSzBivmlPP5utf7ekjlF3L9hF1fMzOOJd2vw+IOcU5ip71fb5jR0mNYuPofy3FRaevqinD7NqTvgcJFiM1NZnIUvqNDW00dtmysif+Dey0p5Y+uXfLi/g9vnFtPU7cXZF+BnG0PHXFIZndwenodnNcsoqkpNq9Nwu/dq2nnmvZEnrK31a3h1Ua9f0dtqiZO48ff/iroGsXTqNLTiKUsqp+ghsUvmFPHbvx/MsVv17Rncum4baXYL//6tYlAlXH0B8tLs/PSrk3ni7/soz0vlnMJMatucht+Zn370Mh4CwclIUFFQVfD4gzR1H8yfy0210dLTB4Ry7iQJ7BYZqzkuIu9YYEwgoLCzqZumbi85KTZKcpKJi5NjhugXjktkYkZC1MTlUwtnRoU43nNpKSl2M3/8uI5rzyrQI2IKMmz85IIpLF37SUQo/O4WZ7/0QcgONXS46XT7IvLwrOaQs37LS1tiTtppq7hN3V593/uvLGPZazt546ZZ7GnpZXfzQaH0nJSQHm2sImuHmniLdQ01jFJDtNxvLVR/pNna4UI4dgKB4Ig4Eh287OR4w0Il5Xkp+IMK86bn6rOGL35UR1O3V1/NG5h4HWv174tOD03dXtITLPzpx+fi9QdJT4jX27VpTwvbGrqxW0zkpdoxmSQUFf74SX1EwZDHNlVz97wSHC4fjv58O81IATGrdarqwdDNmhYnHW5fzO00Z3QklYHW+nV3cw9rqyKvyf0bdjF/Rm7UNTDKBwl31DWsZplzCzPIT7dT3+HW+1j7rKa/Eum/fbWQXm+Q5a8fFMpddkkJi74yCbcvENHOgfffpMwEJmUmHLWMh0BwMhFQFDw+BRWVPr9CnCzjC4Ye4Bu7POSk2NgPTMxMICHeRJxYpRsSgYDCK1sbufOVHREOx6Vlp/DOntaYuWZGkR53v7qT2y+exq3fOJX0hHhq25088s5eOt0+ls0r4d09Taz78bl0efwEFXQdOW3/VZuqeWhBOQ5nH+s+a+CnX5sCErp2XnhBqoYOF2l2CxC7UmY4VrOMzRKH169Q0+qMcgq16ptpdkuUrTjUc0Osa3hZea7u3NV3uNjd3BNRZfvOV3ZERNCMNFs7XAjHTiAYwwxn0Y4j0cHLT0+ICIGUpZCzd1pOCgccLr1gh4ZmQLSBP3xWLpZG3d6WXl0TbWllEUXZiczMTw8Zy3Yn1S1OXt3SyDUV+bpI6x0Xn2qonbavtZcbZk9mb0svQMR3ac7M2qr6iGqQSVYTkzLtpNrM1LY5SbaaowxneBGRYxWGcqzQ+jXJasIaZ4q6JuHPc+EOnZZ0X5SViEmSaOj0cPe8Eu5Zv1OfMb35wqnsbuphfIqNyeMSuboiTxerv2d+KY/8dS8QCo39fy9+GvFQsvz1naxeeAa5qfaIdsa6/46FjIcgmtFUCEgwNAKKQqfLz/52F4GgypfdHn2VTnPu7BYTZpNMRoJZhF4eBjubuvWxHw7mH0/MSBhUb9Mo1WHe9Fx+tnYLDywo59awNACA5et38sIPz2JXcy93vrIj5kqb2xfAHCdx5cw87tuwmzS7hevPK9DD4fe1OXnknWq9UvWGHU1RjtgdFxeTFCZzo+XvPbN5H1azHFEJuyDDxrzpueSn2fTCK1r4piTBrCmZnDkxfdAxJNY1LMpKpHxCGoqi8ll9V0S1UM3Ghq8ojzRbO1wIx04gGKMYhSYcbijCoR7iDlcHT5Yl5pyaTWFmYtTDuNEKzL2XlVJyShJm2cTH+x3YLXHcvyFUZTGWRl24JtqjG0OVNidnJqJC/ypfkKvOmBCh3ZOTajfMl3v4qnJcviCm/lPWjJRmLLZ84WBp5VTu+Mv2qDZoorDPvr8fS5zE6oUVNHd7aOjyRK1UjbT8L1mWSLaaDfXkHlpQrm+nJfg/e92ZOFw+vux082WXN6Lq6Yr5pcSbZWpanUionDo+mY/2d+g6TL/4xlRae/rocvXplUi73H5DLboeb4Dz0u0R7RQO3PHjWIwpgpFFQFFweoPsDyuSEr5K19jlQZbAEicjSQin7jBp6jbORY/1vuZ4hKc6aLnO+ek2vH4FT1/AcN8Oly/CATKa+Gzo8pBiMxMMKnq4/cPvhHLDB06sajnj2qTdhDQ7NrOJhHiZrGQra390DvWdHsyyRFO3hwuKs/i3C6bQ5gwVyNq8p5Ufz57C8vU7oxwuLRz/itNzDzl2DHYNy3JVtjd26TZY+0yrsm0xHbxfR6KtHQ6EYycQjFFiFe0YaijCcD3ExXoY11ZgTr1pFruae9jb0ssLHxzg4rJI7RzNMIRr1E3NTkSWJFa+uStCE83rV8hMtLDf4WLLF10oKry+tZEbv1YUYSj2x9BO6wso5KWFEthB5cdfnRIRHvjEtTP56e8/i7jG4ULm4X9X1XXwclUDC88p0B0YrQz0SMz/cscoTiLJRMzU3jZ3GkFFwesP0u0NRjwceP0Kd726g99eO5OXqxq445vF1HV4ImZW75p3GqekWGno8rDy8lLu+MsOspPjDbXoxiVaeHtXC3NLQtIFYuXo+HK0Y4pgZKE5db3eQITYOBwUH9c06uyWUKl8weGRk2IzdLCSbXGD5ppNzEjg8WtPp7bVSYLVzIr1n+tRKvZ4430T4uP094wmPjXb2en28fT3z+COb07TJzTD9ew0tPc73T4SLHG4+wLc9eqOiOeBb0zL5q3Pm7n///bo79984VRdSH35+p0Rk3R9gZDO6MZdzfz8omL2tvTS6fIhy5BisxiO47GuYUaihQ07m9nd3GPY9vx0Ox3OPn37kyXXWky9CARjlFhVK1t7h1b2PdZD3HCWJZZlCUmCX7wcKq08a2pWlCaZJo8ABzXqspLiqWntjdKeK8iwYTPH8ZP//Uwv1XxNRT6drj69RDOESneH/x9ChmC/IzSL/WWXl5wUu+7UaW3Z2tBleI2TrHH639qKk6KGDKTmjN44ZwqLZxcyMz91RDok2oxxOFazTHF2qOrpHxefzZtLZnHhqVnYzHHkpVkpHm9c8azd2cdVFXmYJCnqGq5Y/zmyLOMLKJhkiSeuPZ2gohpq0fV4A9zy0hbqO1yjSkJirHC0Y4pgZKAq0OcP6E4dEJUzJUuh8Mup2UmkifDLI6YkJ5l7LyuNkARYNq+E597fbygVEO54+AIqTl9QryqpOWvPf1DLsnklEfuGvkPS39MmPp9eWMGNc6boK2/a6pfTG6S6tTfKWQonNN4nsej8QhRV5b4Nu6OeB3Y190TJ4zzyzl56+wLkptpIs1v48exQ1cysJAtnFKRROC6Ba8+eyPXPfcKP/+czvrvmY3Y3Obn1T1sMx/GSnGRWzI++htsburnlpS16rvfAtjd3eynKTtJt1ckSWTBsv1RJkiZIkvSuJEm7JEnaKUnS0v730yVJ+qskSdX9/6YNVxsEgpOZWA/mQw1FOFEPcQ5Xn+745KfZDNugRVfoujkT0piWk8wtX58aMfj/au40fYZR23fVpmp8QZW7wrTuXt/aGGU4NJ21xk4PD729lw9rHVFtiWVQyiek6H9rArGvb23krnmn6RXIwrX+RiLhmkpw8FpPykygcFwi5xRmMjEjgbc+b2ZfWy/72z3U9Fc8C0dLqs9Ps1MbY2V0T0svT22u5csuL42dHtp6fYbb+QIKN8wqpLnbK7SQTgBHO6YIRga9Pj8ev6o7de3OPnJTbbpzp63SxcfJJFlFoZSjIS5O5rLyXNYuPofHrz2dBxaU84d/1vHu3nZ9ku+p782Mcjy0iVVFPbiSpjlrZxeOY0J6PP+z6Gye/N5M1i4+h8vKc5GRozTpFFXlmfdqeeLdmojw/3izHGG/1n3awM0XRtrPW74+FX9QYc37tbhiRHDUd3qMx+qgwikpNq4/rwC3P8gHNW2YZROLX/yUbQ09UaGTy9fv5PvnFRqO43FxMlOyEnhgQTn3X1mmX8MOt193eO8aoF27ZE4RL3/6BQUZCZxTmEnhuMSTwqmD4Q3FDAA/V1X1M0mSkoBPJUn6K3AdsFFV1V9LkvQr4FfAbcPYDoHgpORIqlaGE0vOYDgf4hRF5csurx7Ot7RyimEbKouzOG9yRkSO3kWnjWdbQxdPfe8MerwBZOmgHlM42v/T7RaWX1pCToqV3U09BIJBvaiLVpWz0+2jtTcUymFUBVNz1rQZVS1k0CxLEfl2VrPMj786BX8wyAMLyjnQ7uLsSemcOTEdCEk3jLSQwqEUx9HEzNf8oIJFz1cZVjy759ISEuJlOl19TMlKHLRC6KMbq/nttTPZ2tBluF2cLPP4phrkGGFDJ0Ni/InkaMcUwYlFVULjmKRK+IJBIOTUZSXF09rbR06KjS9lianZSdjMEmaTaUSMRaOduDiZ8glpJFnNfHPVexGO2pr3a3nTIJQ5fGI1fCzU9rlyZvQ+GYkWEiymiOJkmh0aGNbuD6q6M/fIO3tDFahRI2zgs/84QG5qPE8tPIMeT4CllVN4qaohwkGMk6Wo3PPXtzZSWZxFSU4KKiqLX/w0ouBLrLDPPn8w5jieYrPwnac/jtjva8VZWM39Yu7/rNerOQcVWFtVzy1fP/WkHJuG5NhJkjQeOIuQduUnqqo2H2ofVVWbgKb+v3slSdoF5ALzgQv6N3se+BvCsRMIjjlHUrUynCN5iDuainmKEkqCDg/reKmqIcooPXz1DEpyUnThUa2tsizhVxQOtLtw+4M8urE6ZuXMaTnJem6cNrv3h39+wbemnxJR+OPmC6fy3AcHAOOchRu/VsSLHx6IEnfNS7Oz5vsV7G93cuUZecgS+PxBntxcS1N3KLF83vRZgLHI+kgJGTlUcRLt4aPD5deT2V/8qI4bvzaF8clW6jvdeoW1lZeXsWlXE/9xSQn/8Xp0Mj2EjLs3EOSlquhrfde80/D6QysMsaQmxMrR8HK0Y4rgxKEoKj1eP6qqsqu5h5wUW4RTl5kYD4AsSSSKVbph4XBsqjaxamR3Yu2Tn57AKWlO2l0+JmXYqetws/af9Xy1OCvC2RufbOWJTSEpGptZ1j9LsVtY+dZ2/Xg5KVbmFI/XKxQbFQfzBwL89GtF3B2We3fP/FKmZYd05gJBFa8/uuCL4fidHB9zHDe6dmV5Kfp72xp7uH/DLm6bO43aNicr5pdxXmHGSTk2HdKxkyTpBuBuYBMgAY9JknSPqqq/G+qXSJI0ETgd+BjI7nf6UFW1SZKkrBj7LAYWA+Tn5w/1qwSC485IvleNHswPJfQZvu/hPMQdTbGVQEDhg1oHTd0evSRyU7eXpm4vL3xYx/PXn4WKSlaSlfw0O2/vajH8noyEeH73wX6+fWY+Dy4oJ8ESqsoYnvC98vIy7lkfmeelVf967oOQk2aS4bzJGdy2bps+O6lVgHz6+xV0uX3kp9nxKwp7W51sa+zRz8Vqlkm1m1n0QhVL5hTp52I1y3rlMc0wH3C4uH/DriituOLx0SLvx4Jjfa9qDx+p9lDpay1JfvK4RG4OC5UEuOMv2/nddWdy+5+3sej8QiZm2PmiM1rLzmySI3IRJSn0MOLy+km2mgEiZpqHOukw1PteMDjHqxLpSB5Xh5uL519JU6sj5ucH6uspPozjBRQFr09BliRUQsUouty+KKcuyRoSHBdO3eEx1Ht1oE0dn2wlqMDH+x1RE6Fa8ZRtDd0EFJWHrirHEiczOTORSZnGdlivOp2RwPYve1i1sYaffm0KL354gO+fV0ifP0h2spVVG/ewrbGHJZVTWPOP/fpqm90SR0GGjTqHB4jUntOKn3j9QR5cUMaWL7p54cM6rqrIi9B39foV7n51B6dmh6QICjISogq+GDmry+aV0NbjYfXCiqgJW6Nrpz2PABQvmUVLj5cEiwl/UMVqlkOhxSehUwdDW7H7JXC6qqoOAEmSMoAPgCE5dpIkJQLrgJ+pqtojSUO70KqqrgZWA1RUVIiMeMGIZTTdq0MR+jRCHcJZHWnFPEVReWNHk75SN7DyZafbx7ikeP0YtW3OmN8zMSOB2+ZO0z9/7voKLHFSxGylioovEHlCXr+CzSxzxcw8TDJMy0mm0+nlpjlFEdfqpjlTCShBEuJNNPd4ae3p49dXTGd/u1PXY1t+aQm/e682wmHUBFKn54YKj2gGy+HqM9TP63D1DcuD89Hcq0arsdos6mf723hgwXQaOz1s3NXMlKwEw1CbL7s81Dk8PPFuDTkpVhadPymiQugtX59Kc7eX2+cWc9+G3XpJ7FDeiImGTrd+vPCZ5lA59ti25Ujve8GJYzSNq8eaplYHxdffF/PzmruuGfKxAopCtztAXyBIQ6eHoKLS1K9T1+HykZkYT7xZxmKSSbSaROXLI+Bw7lVtYmRiRsIhJ0J9ATWigrCW43woh8Xh8lHbKbcnpwAAIABJREFU5sRqDklUVNV1U1X3LwBdOuH7501CVdUo+7NsXglPbq6hzuHBJKNLImgO3lUVebQ5fUzOCtmn8BxADa9foaWnj027W0ixmll5eZle8GX5+p36JOlvr51Jt8ePySSzfusXXFyaq4uqG12PWJNKheMSyU+zRz1HjKTol+PJUBy7BqA37P+9wBdDObgkSWZCTt3/qqr65/63WyRJyulfrcsBWg+nwQLBWGa4xX8PJfQ5sC2HswI3WLGVwZwULU9r4AragwvKeejt3dw2d1rESsyhvid8Vk9V4bZ1n0Vsb+13CFZtrIl4rzgnmRvDwjNXXl5GZqKF3147E48/SGaiGV8gZDSzU+IJKn7+861d+vYr5peSm2bl6b/X8u7edr1d2lyW1SxTlB25EmcxyYZacWsXnxPzep0IBrsXLpqWTYrNjMcX4I+f1HPb3Gnsae7BapY5d1I6150/iU6Xn/QEM3aLrM8IN3V78QeVqJyOTrePG782JULGoqnLTardzGtbGwG4qiKPlW/tjupXo1wVOLz7XiAYKwQUBY8viNkksa/NY6hT19TtYdr4ZGzxslipO47sbx98IvRIJkq1cXp3cw8vVzVw+9xiMpLiDXP0Fs8upCgrKcr+LF+/k99ddyZfONzkZ4Q0QzWnTnPwwichtTy+gWPxji+7WbWxpt+WlvKTC4po6fHw1MIzaO/P53z4r7upquvGapZZvbBCd+rCz7f05lm09vho7vGSk2yl7JQULBZT1Hl/UOuIeo44WaVYhvIrbgQ+liTpPyRJWgZ8BNRIknSLJEm3xNpJCi3NrQF2qar6cNhHrwE/6P/7B8CrR9Z0gWBsoQ3Kw1nCPZbQZ3N3dKXLw5U7ONKKebEcterWXn5WOZWLpmVHOJKH+h5tVu+cwkw6XMbVFfPT7JGlky8pYcWA8Mw7/rKdz+q7+OHzVXh8fg44PPzoxSp+tnYL1z/7CR0uP+dOSu9feSrki043HS4/u1ucEe1S+/PBfnPVDGQJPtzXTm2bE0VRY2rFuX3BQa/Z8Wawe6G+001DpxuH08e86bk0dLgwm2QevHI6C8+dyN2v7uBna7ew+MVP2dfm5r4rDlYf9fiDrNpYw+ObavSqbaE8u1AlNkmS2NPSS7c3yG/+upcllVO5/8oyirKMZRViVWw9nPteIBgLhJw6hb6Aij+oRjltmlmZmJkgnLrjjKKo7Goy1l7TxrDDqUqtKCq1bU7+treVPc092C0mLHES3oDCg/+3O0pW4Z5LS3i5qiGmfmvVgU6Wvb6Tbo+fSZmh6AstLHPgJGTJKcncM1CK4JIS/ra7Vd/ujr/soC+g0OUJ8IPffcLPX96GJU7igQUzdCkCs0mKasu5k9L5aF8n31vzMTf+/l98d83HvLLtS3wD7OMBh4uquo6o/dPsFtp6+yJs7snAUFbs9vW/NDRHLOkQ+30FWAhslyRpS/97dwC/Bl6SJGkRUA9cNfTmCgRjl+Mh/htL6HN8SrTzdbgrcENJDDdakYxVfTOowO1/2U75hNSI7zucBPS8fgdu4LHbnH08sKCcvS29FGcn0dDl1vMKws9VswOnpCXww+c+ieibZa/t5HfXVVDd7MTh9qGoUN3Sy799tZD//nutXjDEJMFDV5WTlWxh7qPvRbT51Owkw/ZlJ4+sIiCD3QuqGsrNaOx0k2I1kZEUT53DzZ5WJyYJfnjeJL1ozLLXdvLsdWfywIJyPL4A+en2iPwMCJ2/LMGSOUU8s3kfs6ZmIUlwSXkusgQJ8XH6dkMtnnI4971AMNpRIUKjrt3Zx/iUeJq7+/RtZAlSbGbswqk77hxwuKjul4aJNYZlJRnbRbvZhKKoyLKEoqjUd7j4rL5Llw/Qin7d+c3TuOmP/8LrV/R8ZZMMFQVpePwKnW6frt868DsqCtJ4aEE5CfFxOJx9ekinkQ3o8QZ44t3qiAJiT/69hnnTc/Xcc69fYVdzD0VZSfp3pCfER4VVam3RwkVLT0lmd3MPaXaLPjl396s7KMxMoKK/ojSE7NPAglo5KVa+f24BP3j2n4cdmjnckVPDzSEdO1VVlx/JgVVVfR9ihmtXHskxBYKxjKbfpoXuaUU3WnqOXQl3TSx1YK5RSU5K1LaxHC5bmGEJ51DFVmKF8100LZuVl5dFGCYtx87IkTycoi7TspOiiqcsrSwiyRrHfW/uotPt47+/OxOPLxizDD9Ae2+foVFTVXD7gxF5EEsri1gxvwRZkli+fid1Do9e1THcQN3y0hY2LJ01KsrHD3YvJMabefYf+7j27EnEx0ls+aI76np8/9wC7t+wB69fod3p08teF2TYuOfSUu5+7WD/rJhfSorNzOrNNcwtzYkI/ZmcWcZ/bdyLL6AOuVIcHN59LxCMZgKKgqKo7G3p1fNPc1NttPT0MS4pnv0c1KkTTt2JoaXHa1j5d+XlZfoYZpIxlCn4qNZBQ5eXi6Zl8/auFnY390QVL3nknb2smF8aEX75xLuh1IPHvnM6ne4+7plfyhPvVrNkThFrq+qZNz0XkwzleakRIZIPXFnGL79xKj0ev6ENkEDPmw4nP91GTv/E2VUVeeSm2EiwmCjIsEWlV8DBCdv7N+wyzDsPF1fXiqtoZCdbeX1rY8T1vKoiT7922nUZas7/SK5UPRSGUhWzAvh3oCB8e1VVpw9juwSCkwpFUWnoOKjfpg1ma6vqsQ+IJz8aNLHUoqxEmru9jE+xUpKTYlhAwmhlbMmcIpb88V/cNnea4UA3WMW8WCuSby6Zxcz8VB5aUM7e1l6CCvogHmsVxuh7jGbZGro9rP2kjkeunoGKijXORHOPh25PQJchaOv1kp0cH2VEb/n6VJ79xwEA0vqrPg40aopKlPF4dGM1Ty+s4EcD8gVWrP9cL6Sivdfc4x0V5eNj3Qsr1u/kl3OL+fppp/Dj//mUBxeUG16PBxeUA/0VQ21m/fM6h+f/s/fu8U3Vef7/65xcmkuTNL2XlrSUFigtLWBBdIFRUBcdFBTQGWe9oE5/OyOXGWd3GByR9fLVQR0cEWd2UcbrqugwojAO6wi6wAoiyF2QltIWSq9pm7a5J+f8/kjOaU5yTpuWpEnK5/l4+LA0aT6fc84nn/fnfccrX/ru1zf1HfAyQKfVifX/OIs18yeGrJfVH53AsuuLYHczoGng+cUVOB/QE1Dqvg1m3RMIiQjDsLC7vfAwLDwMK5pPlySnIaMplOTooVWSHnWxIkuvEq38O9WUwj8TriJ0cCudX9xQjHU7TyNdq8QjHxzFQ7MKRY2OKoVMVGbVm63Y+EUN3nlwOp5eMAke1osVc8fht0GG1cYuJ5osDvx66wn8+f5KsKwvAoYzkuanqfGbeSXwsqxof7vGLjvuv7YAagXN50OrFDSevX0ScgxJqDNbRateZuqS8C+bvxbs+4FFyHxngiTUtfeiyeKT9SajBqvmlfAVpmU0UJKtH1TEEcdwRE5Fm3BCMf8bvsqYJwAwA7yXQCCIwCkdZqsTShkNm8srcPHXma1Y/VFoAZH1d06GyxvZrx3XLLVidP/v4zba3KoZ2HWmVaBwDWWj6y+cb3pBGmraeqFWyEJ61oXjvZKysmXpkjBjbAbqO6xIktFQKmR4akdfwZPH50/Ei5/7FK3f3VGG5xdXwOb0oMfphoKm+YqNbx84H+JZeuK2UrT3invyuuxuQUgIVyp6fJYOOQaVQGkdrvLx4SIVhnJTSRZev38a9tea4WWAnSebMK8sB/9XY+YtxjaneEN4m9PD53b8eV+t4PV6sx1nW3pw7dg0tPe6kKVLwn8fbEBNa6/oZ+UYVPhtgOdt7a2lcHm9goOC2DWEu+4JhETDwzCwOb1gATg9ofKCU/KcHgYUQJS6GBNoKOOUlfV3ToYptU/WccpfoCdMpaBhsbmwal4JmnsceGhWIZKTxBW4JDkd0jP0lzeMw7sH67FybjGWv3cUSjmFpxdOwm8/OiKpSDncDA7UdmC0UYP1/ziLB2cWQqeSQadS8C1tOG8i19+O87B12lx45IZiQSTSH3adxY+mmWB3ezEuU4eSHD1f6ZOmKUmZSvmLtDxxWyle3VuDKaY0fjwu8mdCto43kLLs4ML1OYZaBC6eCEexa2NZ9pOoz4RAGKFwSodYiAHn4pfaTC522mBQy/FVTTuyDcPvzaFpCjaXV1BBkpvbYDc6qXA+TrmZMz4LRRnJmGoywubywJSqDau0MyBtZaua7euJd+81+Vj3P9/DqFGianYhxqRr0Wv3IM+oRqfNX2CFovDv/hBBwKeQVc0uREm2HgCgV8vw5/unoa3HiRSNAm/sO4/KMami1ySnKeSnqfGjaSbo1Qo8teO7EE+sWDhKrOkvDKWh04b9tWZ+LTx8fRE27K7Gz68r4q+/3eoUvR+jjGq8uXQ6PIwXtWYrVs0bjzyjBjanrwy7Qi7D/a9/IwiTbO8R/6z6DpvgOT+x/RSWXV+En751mBfwUn0OyWGWMNLg2hl4GBYuDyMa4UFTvh51cv/hmXwPYks46QR5BjWeXFAmaPy9et4EODyMYG/75Q3j+PYwgSGdaz85BQB+RUyOkhwdPAyDBZNz8dZ+n4H24euL8E1daNERTpECfHtu2SgDWNYXUsmwgMfL8jKNez8XmXGmuYc3AOcYVNCqFFj/ebVgvuk6JX77Ud91rVtUjh+W5UAupyXzoSvzjZhWcBXe2HceX5xtx57qDl755CJ/Ag2kDMMOKs2BMwbSFDUkhTCeCEexW0tR1GsAdgHgM28D2hcQCIR+4JSOB2cWhlSV4jxfUkpPcZYOD74p3ddlOOhPIRsMYuF86xaVw2x18q8XpCejIH3wVjEpxZhhfU1WOS9gk8XBl2B+bnEF1nx8ko/L77K6BDH6nTaXL3TTYofdzcCglqOlxylQcs+09IY0yl57ayk++KYB//qDIjRZ7CGhiVw7g0m5KYL8w3hI1pZSkMcv9x1AuAR1o0aJCdk6PDSrEJNHG/j18c6BhpD78csbxuHXfzmOJZV5+PJMK34xdxyaux28Er1iblFIjshj207iL/96DTL1KkHu5ZO3leLFz6sFc3a4GWQkJ/Fz3VI1I+FDaQiEcPD6K1/aXF40WXzhls0Wu0+Bo8Dn2I1J1yJZJYOcpkmfujhhoEiN0y3deOWLavx+SQVON/eAZYEepwcb/V40oC+fbtn1RaiaXYhxWTqUZOsho8EbLDmPn0pB448/mSqQX5R/jUjll/uiWkpgsbsFeeqB+XscDrevknWgh3FJZV6IAvji52dRNbtQ8LtVW48jLVmJHL0aLq8X/+/2SYLQ0DXzJ2L1X0/woZ7c343LTMbLP56CV/ecExiaOXmaoVNiS9WMkAipYAINmkaNMiQtIx7z3vsjHMVuKYAJABToC8VkARDFjkAIA07pkKoqxYUirltULmiu+dSCMvzHJydjfkAdTBXK/gi0UrZ0O+D2sljz8Qm+uMjlKK1SyifLQvK+O91e1JvtfJ6DUavE+s/PCnIathxqwJr5pfjv/XW4bnwmSnL0gnGaLA7847smnyev2wmF3BdKMml0Cp7Yfkoy/8Hm8g5YVCYWHiYxBdmoUaKxywaPl0WyUoYnb50Is83NK2aP3jyeV4ibLA68e7AeG++eih67GzVtVrzxla83XXGmDmqFDOfNVoEiJ9XgttfpwcLJuZg8OgX1ZiuOXOiCQaPkw2M5VAoaGn+lTE55T/RQGgJhIDwMg16HL6cuSe7L923rcSJLnwSG9TVtZljfa9okGSmSEseIGfaaLA7Um+043dyD1/b69stlc4pE97ZxWTqMz07GaGNfKLqYzM5P1YbIyeCiI5wi5XJ7semeSthdXqzc0heqadQooVaKh39OyO6TjyoFDVOqRvAeLi0h16DGsjlFfIE4h9vXeuYhvxE7P02NF++cDKvLg4YOG3ocbtF9/2xrLzbvq8XaW0v5Qi1S8vTqMWmS8jTQoMnlNlbNLsSU0SnIT9PGZd57f4Sj2FWwLDsp6jMhEEYogX3X+gtFHJWiwlsPTEdDhw0NHTaYrU7REvzDdUANFDbjs3TYuXIWmrsvr8AHZ6UEgFs27BVVWgvStIP2Xokpn1zM/6Kr8sTvuz6JD5fMM2pgsbtFk8if2nEKv7ppAn79l2MYl5mMNfMn8lbI/DQ1fjKjAAdqzWBYQObPoxuVoubHExsbADweBnI5HVfJ2sEKMlcyuurtw/w9+cNdk/H49j4rbLfTiwPn2vDyj6ag0+aCWilHbWsP0nRJ+Ou3F/mcixc+O4Oq2WPh9rIhh5P+vheFGckoSNPC7mZQ396LR24ch/X/6PMIPnLjOFzstPF/JxXKk0ihNARCfwS3M5DRPs+cy8ugpdsJigLsLi8Majk0RKmLa6QUEVOqbx/beriveiYg3Qy82+FGrkHDh9qKhXoCEMjJ7cca8fD1xXjli2o8t7gCNf7iZVsONmBeWQ6q3j4kME7mGFS4Z0Y+3xsvuHLlf35ZgwdnFiI/VY2LXXa0dDv4+XJ/G/w3O0824boJmfAyLB6a5UudqDfb8csPjmLl3GKo5DK8d7BBdDyucvYT209hy09nID9taMVPgg2aXGTP+1VXJ6QxMBzF7gBFURNZlv0u6rMhEEYggWV8+yvRnqZNQr3ZypdkXzanKGYH1Gh7kaRCJ1u6HTjT3DPocYMFWUayCufNvei0ubD18EVBaAVXbtntZfDsHeVotjhQ09qDDw5dxNJr8wUeOy5XwO7yFQU53tiNtt0+4VWQpoFBrcC5tt6Q8v5jM5JDhHKgQPrNX4/jkRvH49byUbDYXb6+bk4PNElyvLrnHI43dsfEw1SQphW0nhArGf1dUGPdrYcv4qmFpahu6Q0pzf3CknJ4GBZv7DuPerMdT+34Di8sqRCs6+Dnw+XYmYyakOfb0GHF8YsWVM0u5MPMMnRJeH3feX6tlOboE6KFBIEwFMTaGZhSNcgzanCx0waXl4GXYf2ebKLUxTtSisiOZTP5Fi1vH/B7kEwGjDaWYu0nfQVR1s4vxXsH63G2tRfFmcmoGG0EIB3qGazw5RnUGJ+VjAud9pD86WDjZGCT8sDeeDPGpGH1R8d9hbBae7FuUTk27KpBjkHFyz+xBudbDjVg+ZxxeGybsAffG1/VAQDK8wywOj1Yv2QyaBr4p6IZuNBpx+mmvjw+7rOaux2owNCKn0Qq3SReCEexmwngPoqizsOXY0cBYEm7AwIhPHilI1uHDqtTMubbZNTgbEuP4MA7mF5dkSTaXiSpjVSjlGFpUCPwcMcNFmRj0rX42/JZONvSgwsdViy7vghyGQWdSiHZK4cB+JYTgM9CuWJuEXIMffPlegKtmFsElUInWt7/jz+Zilfunoond5zC2wfqRVs5rNp6HJNHG1DTahXkL6ydXwrltw0xESo0TWGqKYVXnHIN6hAhGZyT0WRxwOW/7uD78PziCvz7X45h7fxSmK0uHG/shoyiBIpcp80FrVKGZdcXweHx9QZ8eXc1ppqMIf0LLXY3fr31eMi62XxfJXIMav77lAgtJAiEwcC1M3B7Q9sZNHTYkGdUY1yWDi4vg1YZjVStAjKi1MU9UopIu9XJt2hpsjiQnpwEL8Pij19+J2wGvqevGXiTxSFa9Vcs1JOLjDl8oRNZehXKRvW19AlMXwg8hwT+PrA33qR7DHj9/unosDqhkNFo7XHi0ZvHw+VlQdPA+jsrRCM15pfn8kodd90vfn4W/3bTOLi9rGh9AYDCv314LEQGZPtDMYeipEUq3SReCEexmxf1WRAII5xgpYPbaL8+b0aW3mc1O1DXAbWCFigQnKWuPNeAMenJYVeJvFyiXfJXaiN1eZmIjUvTFCgK+J1fidv4hc/T9ofPq0UL2WzYXY1l1xfxQsyoUeLea/Lx0q5qfCiSUD3VZESrxH1q63Zi7fZTWDN/Inocbjg84pVFWyxOXqnjfvfEjlN4/f5pMRMqplQtJmTr+R5JYjkZwU3fubkH4nD3tT94YscpPLe4Ar/+yzGolTLIKF8POrvLg0y9KiQxHvCtweBnLpU/1+vwoLBIqATGUwsJAuFy8DIMzFY3kmQ0H34ZCMMCXFcclZwGRYEodQlCf4pIcIuWr6rbRZuBc60ADGoFGIYVnBHEom823j0FLg8bIn833j0Fy949ws8h+BwyOS9FdK5JChoFaVo+2oaTnVyhF5WCxot3TQ75WxktLjey9GpBhepAA29pjp73ZAZGeJTmGAAMTUkbacbAARU7lmXrKYqaCaCYZdnXKYrKAECkJYEwRII32vw0NX5103jUtPaidJQB//7P4/H8/3zPezMMagUuddnh8rIYkz48h33OU8VZhbce9uVKRcqLJLWR1pmtEQuJYBgWbT1O3FqRCxYsVs4tRqpGGWKR5HC4GTg8vryD9UsqoE6S42fvHOaFW2BCtSlVC7kMUNDipZHb/L14uKbkuSkyvpok19NORgEWh1t0Hha7O2ZChetZt6VqBsxWJ569vZzvsahS0PjZD4rgdHv4puPVrT1IEWngnp+mhk4lx7I5RQAApYzCC0sqsPaTk4Lc0Y13TxFNjFcrQsu2S+XPcdZaAmGkwVW+lFEUPAwLjVIWUtmSa2eglFNQyUNfJ8Qv4SginCFYLheXNzQFrJ1fit9/dgbPLZ4sMGjVma18426uhUFg2DzQpzi99cB0bKmagR67GzmGvlxyrkL0Hz4/GxJFtHJuMfQqBc6390X5BFai5j7/d38/LchPVylolGTrRa9Hp5JLpmr0ONzI0ivx9gPTYba6kGNQoTTHALncZ8gIlF++lgtqlOboB5SnI8kYOKBiR1HUWgCVAMYDeB2+6pjvAPin6E6NQBh5MAyLE41dONPcjeVzikBTFDJ0SVDIaHx8tBEMC+z5vtWXc+XyQKeSo73HCYNGiQazFQ0d1iG1AxjsHL9r6gnJGyvOSo6oF0lsI41USISYlXLFnGJ02l39FrKhKeCeGQUwW11oCwiLBfoSqt/76dU4b+7FpU47UrTKkGIe/3bTeGzedx5AXz+gxi4bVs+bAJvbK/D6PXP7JOSnqQWKjq8ASOwUFYZhBX3g8tPU2HRPJRQyCko5jXOtPWjtdaG5x4UJ2Tp8eOgipo8xCnLz8tPU+NcfFOERf8gMV+VVLqPg8rD8WOW5eiQnyfHUgjJc7LThg0N9xVZaehwh1ueBrLUEwkjCwzCwOr1wuBnUm618Tp2MppAkp+H0MCHtDAiJA6ewGTUKbKm6Bm6vF6naJIG3KFCWPXrzBDx5WykeD8ixe/K2Mhg0CryyuxptvS609TgFIZdmqzMk7UCqXcGe6na8trcWf7hrMliWRdXsQow2alBntvEpBG29Lj7H/EKnDbkpakzM1mNfbTv/mUlyOuTz68129DjcWHZ9EcZmJON0czf+9GWNqKLo9DCi8plhWax4/whfSZvb+zmljrtfV3of03BCMW8HMAXAtwDAsuwliqJ0UZ0VgTACEVM2Vs4txu8/O4tOmwtr5k9EXooKWqUMv/5L34F4zfyJaLLYYXd7cepSN0yp0Q0REMuve2lXNf62fFbUN8ZIhUSIXcOG3dVYObcYTy8sw8u7q0MEytMLy2BzemB1efHCZ9+LhiFy1sSjF7pgd3vxzN/PwKhR8tZQmgLcXoYPK1QpfC0Xep1esCxCrJiPfnQCf/rJVPzsv7+NG0Ul+N7Vm+2oevsQPl0xC51WF7rsHoHS/8iN40CDQqpWgRfvnIwLnTaUjtLz+RHcta75+CSqZhdiSWUeNuyqQXmuHj+eno9/feewYK132914/5sGLJici+JMnUDxl8tpPu+k2eJAdpC1lkAYKXgZFp1Wtz9iwC7IqfMwLEanamB3eaFTyYlSl4BIFSibakoVyLvA/Xh0mgZdNregeJTd5cGLn58FANx7TT7ue/2g4PNMqeqQtIOLnTZR2cb6W8/8YouvImVxpg4GtVyQLtBkcWDzvlpsvq8SaoUMZbl6KJUyaJVy/jPHpIe2VVApaPQ4vACAzfvOYdFUE8629qLNH+Y5NiMZ5l4nZBSFV/fUhBjwVswpxqMfncBdlSZeyXxs20lBwZjg+8Vd75XWxzQcxc7FsixLURQLABRFJWY2IYEQY8Q2nPe/acDqW0pwtqUHrd0OZOmSQg7/XDjf5n21WDm3OOpeO6n8urZeB8ZmSo8bqSbbA4VEhDOO1DVMyNahIE2L5xZVwO31YstPZ8Dm9hWyMRk1+Ox0C9qbfVUfxYrXPHP7JNhcPq8bVwY6MIkcAFbM9YUeBrZcUMop/PKG8aJzUilk2FI1I24UFaledm09TnTaXLA6PTBqlHy+2/p/nMX6OyejocMKjUKGXqcHLd1O0WtlWKAgVQOVgsZDs8fyBgzu9ad2fIeq2YW88L52bFrIOqBpXwEcm8sLnUpxxVhhCVcODMvC5vSCBaBRynilLhAKQIpaAU0STfLpEpBwFZDA/Vgpo7H6rydCFCauOqVYeOWbS6eH7MVfnGnFkwvK8HhQ0a73DtbzveZStUo0dFhRlJksWtn5VKMFealamFJ9KoE2ScbnoTd22UQ9cW/tr8eSyjwcqrfA5annI5PUSjl0KhlyU9SQ08CscRkwGTUozkjGru9bBUXHNuz25ci/4s/fa/YXjOHOBWeDIm24eyGWpx+pM0u8EY5i9wFFUf8FIIWiqJ8CeADAq9GdFoEw8gg+MOcYVLir0iTwzj15Wyl/aOYIzAl7aZevWmA0FbuhVJUaribb4Y4jXXVTjoN1HdAo5Xjzq1o8MHOs4G/nlWYjN0WNTXtq+aRxTmiOy9ShLFeP2nYr/7liY1TmG7FsThG0Shkmj07B5NEpyNSpYHN5RPPscgwqFKQni1YziwVSvewCLcFcDyFOudMlyfHewQY8cO0YJCtlSE9W8jmaXBNaLtS1uduBB2cWgmFCq6Q53AyKM3V45tPTojmd8dTMnUCIBr12B+wuL7oPUujsAAAgAElEQVTsbgB9PeqClbskua+KMFn3iUm4BcoC9+MOq0v0b0qyddAkyURf67K5Q+TUdRMy8coX1SHVNX80zQSWhUAhWzt/InafaRa8d8uhBmz40RRMyk3h15/d7YVGIUPV7ELkpmjwwmdn+L9RyWnIKOCZ28ugVymwaU8tjjd2Y8V7fYVanltcgZ+98y3W3zkZ5XlG0DQFs80lWnSMyxVUKWhk61UCuSAVaZOpUwkUuUydryXSsnePjDhZEo6ZJwPAXwBshS/P7nEAedGcFIEwEglsVA5AtK/L45+cwpJK4deLC5Hg3mNzhVZFCxeGYVHb1ov959pR29YLRsQUzOW5BeaiDZTnJmV9rDNbhzxXsblz+YkPzSpEjkElOY7YNTx5Wxl+vfUYVm09gX//yzH8aHo+th1pEPwtTVPQq+R45MZxUCloPuxErZBBLqNgStUiP9UXZsJ59Lgx8tPU+NNPpsLLsJhVnI6by7Jx9Zg0XDM2HWMzk1E6yoCNd0/BvdfkY/O+WmzcXYP/2lOL75p6RJ9DrAi+d2K97DbsrkbVrDF4+PoirJhbBLXSF5K5/XgjtCoFqt4+jA27avDa3lrcMyMf+WlqrJxbjLwUn6Imo30KY36aWjC2SkGDBdBpc+G5ReUha2441hmBECt67A5809ANu9sXstbe6+swZUrVgDtr0hQgpymi1CU4wecBQNyAyu3H+WlqaPzhjiF/o/fl5Ym9Vt3a42v0HSALx2Xq+OqaG3fX4JUvalBvtiPPqAk5kzyx4zssmzMOm/fVYuvhi5DRwK9uHA+KogRyK02bhD9/dR5expdTXjV7LC/nNn5Rg7xULX4wLhMVeSl4emGZYD5PLyzDR4cvhOznWonrZVlOppciVacQyIVgucxF2shoYOepZtyyYS9+/OrX+OHLe1Hd0otxmcl4+PoiPDSrEN83d6OhI/FlSTgeuxtZll0F4B/cLyiK+j2AVVGbFYEwAgkuDKJWhCYYO9wMv0EHe0cA3ybFhT4MlsF4O5RyShDHr5T3f4CIdnsEqWIonNcoeJzgXD05TeNXHx7li5Q43Awe23YSG++eig6rU/C3581WvP5/dVj1z+ORn6aF1eWFXEbBqJGDpimMSe97jlwZ6NIcPWwuryBXzpffoBXMaUxaMm8h5OYRb/H/wffO5i/eEIhRo4Q2SYF1/uqtm/bU4qkFZaiaXYQV7x8JUQI33XMVKIpFS7ebL4G9aU8tnlxQhle+qOaT4Z+4rRRdNqff6qsOO8Q2Fs3cCYRI4fEwaOjoxrcXevHYthMwW11QWuzITVH7vQtJGJelg4dhoVbQaKUpotQlOOEWCuP249wUFVa8f0Q0NzxLn4TRxtDPCzw7cBWd89O0vGIU7NVSyCjR/ZVlWXy6fCYON3QJ2tw8vbAMCytyIZf72h2smlciKLr14p2TUd3aCw/D8GcIuZzGbZNGIT05Cd82dMLL+PqWVs0ei6vHpuHNr+r5/TxLnxTSZmjN/IlIVsp84Zhf1qAgrQJeti/6g4u0WXZ9EUypGtS09eL5//keSyrz+Nxw7rre/6YBVbPHCip15qdpo17HINpIKnYURf0MwM8BFFIUdTzgJR2A/4v2xAiEkQZNU5hTnIE3l073l+FVoTLfgEP1Fv49XJn3//yXq3D8ogVFmclYt/M0H8r2zO2ThtzyINyY/jqzVaB8cPP6tB/lYyjhm5c7dy7WfvO+WtFxAnP1dp5sElSe5D7j+MUuzJ2QKfi9VukrG+7ysvj5u32K2rO3T+ItlBNzdHhz6XTYXB5eefvhy3sHvLetPYmhmHD3riBNi/+raQ95tksq8/D4J8L+e2s+Pok/3j1V9PoO1nWCphAiWB//+CTeXDodzd12pGiUOH2pB70uD7Yevogpo1NC5hXtdUYgDDceD4PDF8ygWFrQrJlhgcYuO3IMajAsIKMo0DJAowzHHk+Id8IpFBYYOkhTvorCXHoAFxZp0Cgw2qgVfN7Zlh6cb7fCy7BYdJUvAujDQxf5nGWGYUWVwLp28XZDVqcXLb2hPVe54iWTclNQZ7YiQ6fElqoZ6LC6cORCF57c8Z2gkNjOlbPAsEBbj5MvmsXB5Vffe00+svW+/dyUqkVxVrLAyOzxMPjd7hr+c9utTkwIapvQZHHA5WXw663HBd+nYNk0vzyXV+q4a3r0oxOYPDolruTxYOlvh3gXwN8BPAvgNwG/72FZtiOqsyIQRhDc5myxu1DTahVYvJ64rRRAAw7VW/jN1eXxot5sxR+/rBHkY9EUMNWUMmRLUrjeDqn31feTZBypNgWDnbuMRljjSPU/8zKAzeUVvDdLn4THbpmI5UGep9X+Df+0vwlr4HUaNYqw7m1mcpLoPNK1SYO7IcNEndmKxz4+gcfnT8STAVbN0UaNeD6HPTSfgwudkcvEPdRurxeXuhxYtfUE//kr5xaLPtNorzMCYTjxeBjUtnejvt2Oi132kO8HF+mmU8lB04BGqeDziwiJT3+FwqSqaL+1v54v1qVS0IJq1dzn0RRwvt0qaBC+cm4xrzDxXsCqGdh1pq84CYAQD9mKOcV4/rMzeORG8eJfTRYHGruE83xhcUVIbpxRo8S3DV149KMTfOGx4M9i/JWjb5qYzc9zzvgsFKYn41xbL040WvCf/vx37vpzDWpRuTAuUxcyRrBskmqQHm+G1sEiqdixLGsBYAHw4+GbDoEwsgjcnJ9bXBFi8Vr7ySn81z1XodvuwcVOG97/pgFLrhoNvUqOP/5kKo5e6ALDAtuPNWLVvJIhh2EC4Xs7pN535EIXNuyqEQ3hjFSbgsHOfe6ETEECtxSlOXr8v9sn4bcfnRAIrC2HGrBoaq7gvaZULU43i1fWumSxi3o9t1RdE9a9tXu8IYJz5dxiODxC5TJeaOl2oN5sR1pyEm81ZVmf51HsejN0oaEzq+dNQI/Tg/w0LVbOLcIHhy4KBLNKIQ/J4QsU7oFEe50RCMOFy+XFztPNyNap8Pgnp0SLPnCNx2nK56kjSt2Vg1TboUduKIbF4YWMBqblpyI/VRPyt14mtEJm8J5K0xRsLi827KrhK2FSlK+65Z/vm4aLnTaolXK8uucc6s12yGjx5ujpyUn4l81fC8aqbu0RjfLg+pxyfytmAHS4hRW4OWXVZNTAYnej0+bi3//0wjKUjjKIyoXgcNOthy+GyKaJOeIN0jOSEzsChPj0CYQoErg5250eUWXhm7pOvLbX18rgoZmFSJJRMNvc+HlAvta6ReW4qSTrsg6w4Xo7xN7HWQq5OYuFGQ7UpuBykJp7OEod4Ivrv7UsB2laJR/Xv+VQA1bNKxHNaUjVKEU3/B6H+DN0eb1h3duLnXa8tV8YSvPW/noUpmtRlhsaehhrOIX6fHsvsvQqPmwlP02NtfNL8cSOvka5K+YUo6PXibf2+/IbsvUqdFidcHiYEMvxW/vr+UbkHVbx1ghS7TWiuc4IhOHA5fLixCULehwe1LT6GjsHtlcBwDceVysoKOVEqbvSkGo7k5qswvrPTwjkTHCevFTIf/CemqX3pYM8MHMszjR3I0lOAyzwwJvfCPb1tl4XNv3vuZAWCU8vLBP1en1w6CKeuX0Sr8gFe9DEWglx+YBiFSy5KKH+epgGy4XgcNNOmwsaf5rLofpOsCzwxy/EG6TLErx7CFHsCIQoErg5a5Lk/VqpXtpVjRfvnIzTzd0huUirth7HpFzDZR1mw/V2BL+PAoVfbDka0oLhcsIVBts/JhKeGqVShtnFGTClatDa48CiqbmSn5Ep4nlaObcYo4JCOnMMKiypzEN7jwsl2Tr8bfkstPVK50sY1Ap02lyCvncqBY1sQ3xaCDmFusFshdXhFiik7x2sx/OLK1Dd2sOH8jx6Swk6bS688NlZ5BhUWH1LSUivupd2VeP5xRU409zjL5s9leTNEa4Y7HY3dle3gWV9eUWcpy6wvcpL25QoydaTHnVXMGJRKksq8wR5mFJG1nCjc0xGDX58dUGIETewT2lgLvv0AmNfz1W9CilaBc61WUMiMZRyCuOykkPy0Lk5cWu9anYhSrL1ON3cjbcP+Ix96++cDJNRw0c6GTVKLKnMw7hMHUpy9JiUm4KK0QPLfZqmcFNJFjbdU4lmix31HXb8555aPHpLCV7b23e+aut1oWp2IYozdTjT3IO39tdjiill0C2l4qknHlHsCIQoErjBvrrnnKiXg4tt93l+GGj8FZ84Cy3XBywScd/hejsC31fb1suHP3BczsF7qL3IIuGpCfczKArQKmV8+KE+SYYx6cnodrjw7O3lWP3RcRg1Stx7Tb5A+evvOurMVvz+szMha+CpBWUozTEM+ZqiCScc99S0gmUpPOwvJsPxwmdn8Iu547Dab5l986taPHFbKdZ+cgpNFgdqWsVDWr9v6cHmfbVYf+dklGTp8PTCMjy2TWgJNhlDQ4wIhETGZnfh20YLGjpssLu9IZ46rr2KQkYTpe4KJ9y8MTEja7jROQ2dNj49gfusl3b1NQDnfsflsnPVIifl+mT4Xa8eCInEUMopLJ9TjIff/Rbzy3NhUMmgUsggoymsW1SOVf6CJp02FyZk63FjSRbGZ+tw7dg03iDKRToZNUrcMyNf4FEbTK+5i102HKrvQHGmDpv31YqewzptLuTo1Xh1zzkcb+we0tkm3vqrEsWOQIgigRvs8cZuKL9twKZ7KtHtcONsSw9frh/g4tWVsDo9+MPnwhCFLYcaYubBiHTBinCrc8aSJosDf/rfWtwxNQ9ZeiVGpWhw/KIv3/HAuTasv3MyWJbFrz48FtZ1MAyLth4nZozNgJvxYv2SCvQ4PVAr5TAZVXw4STwQbHmkKeDoBQu+qmnD2ltL8cT2PqX0R9NMSE1W4O0HpqPObEOd2YadJ5qwfkkF3F4WmfokgfcZ8K3z8Vk6VM0uxMQcHS5a7Hh5t7BZ7su7qzHVZIyb9UAgXC42uwvHm7rh8bJ4aVc1qN0vobW5DS0scHIzBYNaAQBgk+TobL1ElLornHDyxgBxI2u4ES5SRckCw37Fctml8v/efmA6KIrCrz48irsqTdhyqAF3VZqw9I1v+BD+TfdUQiGjBF6tYGMrNy+xXr+PfHAUaUunI0OX1K9XjGFYfNvQhU17amHUKPkIHO4c9vr902Cxu2HUKFHd0o3Z4zNhcbhF0zMGIt7ONESxIxCiSHAJ4hON3Vi19TjuvSYfaoVMkAi8cm4x7C4vX30QCOwDVhmzyn+RLliRCL3IsvQqdNpc+Ou3F7FsThGWBbQ9WDGnGOt2nsbPf1AU1nX014Ov0+bCpytmDfflSSI212dunwSNUoZD9RbMLXEJiqhwuXJcFcvN+3xCtM5sw4bd1QKBGnjtz3zqa+Fx7dg0sCz4ZrmBxNN6IBAuB5fLix2nWvD4xyf5ioDmlnZcVfU8GrvsfCn3MelapCcn4W+P3xXrKRPigIHyxvozsoYTnSIVssmJdqlcdikZ3tLjxNmWHswvz+VDOAMVs3qzHVVvH+q3dVLgvChKvGrl3pp2vLa3dsAIGS7Hr8niwFv7faGfeSlqjM/WoTTHgM9Ot+C+1w9edi2DeDvTEMWOQIgy3AYLAM/+/TTumJqHVI0SnXYXll1fBIeH4Q/Jv5hbLJowLaOBr8+bYxa7HcmCFcPdi6y/2Hep1zgv5Znm7pA+N5zA0qrEcyaDr0OqB1/V7EJMyNbHVan+wBAYrkpavdmK0lEGXz8jlxcbd9eE/J3V5cWfvqzBUwvKcKGzT6njPmPTPb6+jHY3w3upVQoaFCiolbKw10M85TEQCP1x84JFuNTaDpeHgZcFPF4GNAVs3M6itccJt6UNLd1O5BjUAIAUjQLJpPIloR+kjKwAUNvWC7PVCaWMhs3lRaZOBRntiz4J/FlMzgUqis8tKsekXIMgNDJ4j83Sq5Cfpsb88lx+vW4/1oizLT2+not0n+dvKAoPN6/vm7v7rUvQn1csWNlqsjiwYVcNNt49he+7FyyXw61lwMkh7n7bXV7Ris+xirIiih2BMEyYjBosn1MsyCVaMaeYz6FTKWjoNYqQ4hz3XpOPB988FBex25FgOHuR9Rf7DqDfuPh5pdkhQgXoyzkoSNOEVP4Suw4pa96U0Sn4wbjMuHqOLd0O0byGpxaW4dGbJ8BsdYXck/w0NcZl6QAAeUYVGJYV/YwnbyvDK19W82v9kRvH4RdbjiI3JUm02lpwjl285TEQCP1xqaUdWXc9CY/XdwhkWAAUUJimRSGAvc/+C1xeBk0WOwozkpGcRJQ6wsCIefF2nmrGup2ncVelKaTCY2BUBfdz4L55w/hMvPPg1Wju9hVEKR9lgFIpw5h+lBuxs8yTC8rwzv46tPW68Pj8iVApfKHEQzXa3VSShYk5OuSnaQUyNrgugZSSKGVALsnWg6apIXvZwr3fgznTRNpgSRQ7AmGYaOi08Rsh1zfG4fHi0VtK8MJnZ/DwdUX8gXf9P87C4WawpDIvpB/NIx8cxfjls0RLwScC0exFJpYfJhX7Dki/xiVwa5XiXrnK/FRMzDFgYo4Bk0en9HsdUgImPw69TVl6X5XP4LyGNdtO4oOqGWBZYPLoFBy50JdvuOgqE1/58sA5A35+XTGWXpuPXpcXD80qBOArAPT4Jyex6Z6r0GRxoMPqQpK/pvTVhRl45YuBc+ziLY+BQJCCYVg4PQxkFIUacy/faJxhfet4bEYyZLSvcqBaIYNaIQPiayuICjcvWISmVrPoazmZafj7x1uHeUaJD7cvBoc9BhdCCfyZ2zdNRg0+OXGJP5fkp6nxH7eWIkkuQ7ZBWi4HnmW4sR7/+CSqZhdiw64a/OnLGqyZPxGb9pwLaScgpvD0Z7QzpWoxeXQK6s1WHLnQFVKXQMorJmVAHpPuGzvcyCGpM4XU/X5TJP9voKihSBssiWJHIAwTnIUox6DC/dcW4MXPzwo8FH87dgmleSnQKmV4YXEFzrT0oCBNK2pVOt3cjTHp8acYhEs0epFJ5YdxpZs5OKscF84RiMPNoKXbgTPNPXxIYnCO2Jr5E8GCCfs6htNDebkUpGklK69ZXV502txYt/M05pfnQkYDy+aMA8DiiVtLoUnyNbPdebIR08ZkYP3nQs/02wfqcdDfs3HFnGL8+avzAeGeA+fYxVseA4EgBsOw+L7FAqeHQbfDwyt1/Oss4GVZUABS1IqE3cOHQlOrGROWPiv62pnXVw/zbEYG3L4oFfbIeYGDf27tcaDH4RYYm++qNOFnAf1zgxUMl8uL45csfCuE4LHGZemgUtA43tgNy55zeGrBJKiVNLZUzYDN5ZX0Rp1vFzfajV8+i1fEVAoZpuWn4uOjjf5/9y9HBzIgm4yaAasx93emkLrfLNgBc+wD72s0DJZEsSMQhgnOQvSTq028Ugf4vsiPbTvJ59t5GRZnWnpw4FwbpoxOEbUqnW3pwcQc/ZC++CM1T0lsg3z0oxO8FZEj0Condm81ShlfxSsw6TrXoEZDpx0bd9fwRU/Cuf/R9FBGGpqmUJKtk7wvv/nr8ZDwkzXzJ/L3ZO38Ulhdbqz5WGjN5XIKvYwwT5E7aIRjOR3u3EwCYbA4HB78/btmnDdb0dLjwCj4iqIEKnc0Baj95d/jcQ8gJBZcvtv4LPF9m2XFf87UqXC2pa8djVQFSk7BcLm82Hb8El8ASCrM8dMhyLn6DquoktRkseH7lh6BUrRuUTlyU1RI1fZfFRPo3/Da0GkbsBpzf2cKRqJCKQUKtW29/NwGUtyiYbAk9XQJhGGC89xk6JJEv8iZuiTs+b4VJTl6bD/WiBVzx+PJHaewJihefcWcYnx46CJaexxiw/QLZz26ZcNe/PjVr3HLhr3YeaoZTLBZOQGR2iA5KyIgtPJxzyPwtXWLymG2OvHQrELk+JuGc0nXF7p8XiXOWjmY+88JmBmF6SjMSBaEYdS29WL/uXbUtvXG/DkwDIvzHVasnFsccs9cXoavdhYopJ7a8Z0vrNjN4Ikdp5ClV4s+hzHpWuw924ocgwoPziyEKVWNiTk6HDjXhqcXlok+o0DEnle8ej4JVx52uxtHL3XhvNmKXIMaLAu09TiRm6LmqwzSFFCQroVWKYvtZAkjBi7f7YXPzmDFHOG+vXJuMf767cWQn7l9M8eg5t/fX6ETADhxycLnQXO9F4P34jHpWlE5NxBcykMgKgUNpUwmWuAkVZs0qM8HhLK2rr0X7b1O3FrhK/6y9fBFvPJFDerNdoFc7+9Msf1Yo+j9/sWWo4JzVX+KG9BnsAy+9ssxWBKPHYEwTHCem6/rzKKWnmyDCo/Nn4jn/Em5Ld0O1Jvt6HG4BSXmuTL5Q/nij+Q8pf6SpXeunIWWbiesLg/yU32KQKAnraXbAbeXxZqPT6DebBeED3LFPtgAnYvbeD0eBqeafKEpOQY1SnP0YfekEwvRWLeoHD8sy4lZX7s6sxXL3j0Co0bJWzJpCpiYowPDAmqJYjKBIT4pQQWAAN/9arY48NDsQjjdDO/RUyloPHt7OW6emIWpJmO/lt5E8nwSrixsdhe+bujCkYZOMCzQaXOBogCXlwmpfKlRykbsmj1fW4vJ11wn+XpdQwMmDN90rggC893ePlCPB2cWQkYDN0zIhF6twBRTCjKSfVUxp5hSBPtmaY6eD0cEpCMnGIaF1eUR5ExzY5Vk6zBxlP6y9uIsfZIg5SE/TY3fzCtBu9V52d4shmHR0GHFkYYurP7oBIwaJe69Jj8kvaLH4cZ7B4X9gvs7U7x+/3R0WJ3YUjUDHVYXjlzowlv7+/L/uHPVQJEm0UjViJpiR1HUnwHMB9DKsmyZ/3epALYAKABQB+BOlmU7ozUHAiEesdjcIXlbj9w4DqcudeOlXdVYMacYO082YfUtJVApaLz5VX1IhcGhfvFHcp6S1AaZn6rBZ6dbJGPcueu+ZcPekPDBB2cWYvO+Wjy9sAwv764G0GedzDOose1YY0iM/sKK3LAUM6lyy0aNEjOL0mNy+OPWR5PFIch5u3ZsGipNqSgdpe833Cc/TY0ufwW2wPX9H7eW4t2v63HdhExBw3KHm8Hqj44jLbkSM4vSB1yD0cjNJBAuB4fDg0+/a8Vj2/oq962eNwEZyUmg/cpdk8WOgnQtNEoashGq1AGAF5DMoQOAmjWkP1+kCZTpgfv2tWPTUD7aiIL0vr0y8GcAkMtpLKzIRXFmMjqsToy9fRJWB1V5Nhk1kn1YN++rxRtLp132fmxK1aI4KxlVswuhUcqgUynwyw+OSoZ8hmvU5oynzRY7nvuf7+Fw+5qeBxeke2rHd6iaXYjlc4oFOXb9FWAJPDvsP9cuSPfgPre1x4HpBWn9Km7RMFhG02P3BoCNAN4K+N1vAOxiWfZ3FEX9xv/vVVGcA4EQV9SZrfjFlqMhHpHCDC3WbDslUCiqW3uw9tZSPLH9FN4+4MvzKkxPRmG6BmVBDUPDZSTnKUltkOF4KaUU3vJcX86AyagJ8SidaOwKqQz22LaTMBk1SNcNHP8vNeah+g7kGdUxUV76Wx8NnTb8x/ZTIVXOuBy7/DQ1nrl9Eh5881DI+u62uzBrXCYYiYI1sbxmAmGoMAyL400WXqkDfOv52Z1nwLLA2IxksACS5LRfqSPZL4TIcrkyXS6nUTHaCMC3niuCqjz314c1x6BGtv7yzw40TWHO+CwUpiejrcfJNw3nQj6HatTm5v784gp+/lIhpwwLPLbtpCDHTuxMYTJqQmoU9PcMwlHcIm2wjJpix7LsHoqiCoJ+vQDAdf6f3wTwJYhiR7iCkPKIPHLjON6F73D7+qT96cta/PKGIrywuAJWlwdapRw6tWzISh2QWBUah4LYBhmOl1JqYy7O0vHvCf5cqcpg581W3Pv6wQFLFkuN6WVCK0IOF/2tj6/Pm1FvtvMhOFzCeW6KCk8uKEWPw4Ovz3eIru9lc4pAUYCMEg/3ieU1EwhDgfMGeLyMxEGRhUJGQUZT0CjkoIhOR4gCkZTpg5GfxZk66NUymFIjc3bgxg72QHLypjxXj+Is3aC8WdxnaZUygdyRijoRi14KvCdSFS5vKska0Cs3nJEmw51jl8WybBMAsCzbRFFUptQbKYqqAlAFACaTaZimRyAMnsGsVanDvNMj/PfcCZm4pjANOpUcNpcXVqdvA73cFgdXYp5SOBbNoQhHLvE8+HPVSnlYuYsFaVqsW1SOVVuPC0JcthxqwKKpuRG48lAGWqv9rQ/uPgYqbSoFjZsmzoDDzWD5e0ckQ2e45ZWqUeKXN4wTtPqI9jUTEpN4PgMwDIsTjV145IOjeP3+aaJr3uOvfKlNIqUMRjqxXKvRlumZOnH5aUpVY9JlGJmlCJbXTRYHNu+rDbsKtdhnuRmWTw/YevhiSKoAF1o6kKdTKvrn0xWz4upcFbc2JJZlN7EsW8mybGVGRkasp0MgSDKYtWoyarBuUbmgktLTC8uw47iwN0tpjgGdNjcefvdb/O/Zdhy50IVLXfaIVE2UqtA4UgmnmiInHD9dMQvvV13Nb9T93Rsu8Tzwc9fOL8Vre84BEFa+EoOmKfywLAeb7qnEirlFeHBmIbYcasCqeSVR86CGs1al1ofYfXx6YRm+rjWjrt3Kh8788oZxIZXCxmfpML3AiO3HG8GwLF5YXIE//mQKfntzSdSvmZCYxOMZgGFY1LT04H9ONcPc64JRo8SH3zTgydvKQr4XFAVolESpuxKI9VodSKYPtfoyw7A4b+4VrZLMKXWRruwcyerH3Ge9uqcG2XoVqmYXYtFVeZBRwKv3VmLjj6eganYhX5BuoHH6i/6Jp3PVcO86LRRF5fi9dTkAWod5fAIhZng8DD492YT1//ier1x1lcmIq/NTQ/K36sxWrPNXxwyML1+3qBy3lo8a8cpYJAnXojnYcInAxPPGLjsYBti05xyON3YDCC/PQS6nMbMoHXlGNVp7HFg0NTfuPKiBfQ9LR/z5WtMAAB+0SURBVOmw5acz0NTtQEZyEs619WD959W8p67J4sAbX9Vh2fVFyDGokGtUw+1lMMqgQa5ehZ9cXSBIzn/m9kl4c+l0mFLj65oJhGA8HgZ/O9GEVX/t87CvnFuMt/bXAwBev38azFYX0rRKGLVyaJVyvlosgRArBmqQ3R/9VUnmlLrAz85PU+OpBZOgkFFD7pEbrrwOpx8v/1nZOnTbXRidqkF7rxM5BhVKcwygaQoTzXpcOzYtLC9botQoGG7F7hMA9wH4nf//Hw/z+ARCTGAYFgfqzPi1P+wuMJTttfsqcW1hekhcu1jPsFVbj2NSroHkIg2SaMW4c4nnk3JTsPNUM8629gIYnJUxnis9BgpusTLRK+cWw6hRCpLcmywOfHj4ApbPKcb9r3/Dv3fTPZW8Ugf0NXv9dMUsotQR4hqGYfFVrZlX6gDf+n1pl6+IxIZdNfj0VAvW3zkZV49JI+uZEDecbxcPHxy/fBbGZvYvc/qrklyQniwITcwxqHBXpQlVbx8atAIZzEAycTDKamD1SjEGI3sTpUZBNNsdvAdfoZR0iqIuAlgLn0L3AUVRDwJoALAkWuMTCPFEndmKxk67qBvf3OvCiUYLJuUa+PfSFAUZLd0wNB6VgCuZkZq7GCi475iah/e/aeAttwDw/jcNuGNqHl75ooZPci8dpUNuihp3bTogOEwcqu8g65mQcHg8DI5d7EKTRXz/LsnW47lFkzA+WxeVnCMC4XKo77CKrtuGDuuAit1AHqrA0MQ7puYJDNFGjRJnmruhUtAoSNNGVB4OVOk6HG/eUIiUnI/W/DiiWRXzxxIvzY3WmARCvNLS7YBGKRfdJM+29GLV1uNYf+dkKOUUH/rw1IJS0fdnJMeX2z8RiPZGCsS3522oBApunUoWEhq8Yk4xuAruXJL79mUz0d4b2liWYcWrkakVMjAMSw7EhIhz84JFaGo1S76ek5mGv3+8VfJ1l8uLHSeb8OhHJyQLAyXJaWgN0SkkQSBcLlqJc0c4+Z8DeagCFb/ANgI5BpVo792heO/E6C/XrSBNO+TQ08HADjGV8HJCY8MlbounEAgjiSy9Ck1dtpAk5BVzivHXby/yFqfjFy186MOFjtD3r5xbDBn51g4KbiO9ZcNe/PjVr3HLhr3Yeao5IoVoRjqc4AaA3BRNSGjwht3VyEvxNXTl1qfT4xX8Hcf2Y41YM39iyPpf8f4R8jwIUaGp1YwJS5+V/K8/pY9hWHx13oxH/eHDXLhx4PpdM38iklVyXFtIwi8J8UmWPkn0HJGlTxrwbwcqKiZW6AQI9d5x55s6szVC1xQqXzhPopQ3LxJjR+IsEc35cZCSTQTCMGAyajApLwWXLHZUzS5EbooaDR2+nmCB/etyU9TIMajQZHHAbHNj6+GLgp5hb+2vxxRTCgrSR45XKNqE06CcIE6gxfZ8u3hIDyjgNzePB8sCXoZFndmGslH6EEvvXZUmbDnYgOcWV6CmtQdeBvz6J8+DEE94PAyOXuxCl80t2lMrP1UNnUoBmgYm56ZALifWNkJ8YkrVojgrGVWzC8GwvuInxVnJYfefC+7jFhz5woUm1pl7sWb+RDy14zvJJuCRCruX8iSajBocbujEQ7MKAQBbD1/k+81GYuxInCXC6at7uRDFjkCIMgzD4rPTLXwBiiWVecjWq7D2k1Mh4RGNXXbcMyMfbx/wVVrrtLkEScvxWIEp3hmOjXSkEphT0NbrlAgl7oFWKYdaQePZnWd4Qbvx7in42/JZaOiw4siFLl6JO9vSg427awTjkOdBiBc8HgbbjjXisW0nQ8IvuXDjzfdVQqOQYRJR6ghxDk1TmDM+C4XpyZedFyYVQsjt209s/w4PzizE+CxdVKtHiuW6mYwa/pwV3J+u0+aKyNiROEsMR2VNsiMRCFEm0MrTZHFgw64aPP7JyZB+divmFOPDQxexYXc17piah+3HGrH21tKI9HO5kukvbIMwMJzFdlp+akjYDbdmX/z8LMw2l8CSuezdI6Ao4AfjMjEhW49OmwsAIKNAngchbjnVZMFj205Khl+unFuMDquLKHWEhCESPdYGCiEsSNNi1bwSbN5Xi2c+PS3a+y6SZ5fga2rotIXMb8PuaiypzIvY2JE4S0SyT58UxGNHIEQZMStPvdmONK0Cby6djr017WBZCMIyy3P1uGNKLuQy4M2l02FzeWBK1WJMeuJXWhxuEqVEcbzDWUnTJNZscJqBw82g3h+2Mz5Lh50rZ6G524FsvQrjs/XkeRDiCi7M7EJA9eLA8MsJ2cnQqRRIT1ZiQpaeKHWEK4qBvFXBXrRsvQo3TcxGW+/wVImWmt+U0Sn4wbhMybEHU1gtEmeJ4aigTRQ7AiHKSLneD9Z1Ylp+Kl7bWxvyWnGWjnft56eR8LTLYaS2IogFNE0hQ5ckumaDb6dKQePIhS5s2FUTUvnLlKolz4MQNwSGmT2/uEI0/PKdB6/GVJORrFPCFUk4IYRilaEHaqkQ7fnl9yNbBluhMlJniWhX0CYmJwIhyoi53rkQtsc+PhESkkm8F5EnEqEoBB9SoSTleYaQkLUPD10EEBq2Q54HIZ4IDDN7dc85rJ0vDIF/emEZJueRdgaEK5fhCCG8HIYyv6FUqEwE2UU8dgRClOkvhK08V4/RKWq8em8lHG4vxqRp43azIFy5eDwMTjVZ0GRxIMegxg3jM/FpkNUSAP87ChR+seUoH6YJkAIphPiCZQGH24udJ5uQqlViXGYyjjd243hjN3CwHs8troCMAvKMapTmGEjoJeGKZqjeqmDZUZoTnTDmocxvpBZWI4odgTAMiIWwlefq8eOr83H35q/5MICnF5aRsDRCXBFYJTBwnS6syA0Rflx4SW1bL18shYMUSCHECywLtPc60dBpw7++8y1UChprby0Fvq7nlbtf/+UYPu2njPlAzc/rGhowIVoXQCDEgMGGEPYnO6Kl3A1mfsNRoTIWEMWOQIgygcm5r95Ticc+PoF6sx3L5hTj5CWLoOfKY9tOojgzGRWjjSF/O1BiL4EQDc60dKOhwxayTosykjHZZBT9G6kkc5oC9p9rJ2uZEBNYBuh1eeD2MnC6Gcgo3/pzuBk8sf0UXlhcgWXvHeHX68MP3oemNnHlra6hAfPW/rfkWDVr7orKNRAIiUJghVnA9z2L1Bkn+O9MRg0aOm2D+hyTUYNN91TiUH0HGBbYfqwRq+aVxE146VAhih2BEEW45Nx1O09jfnkuZDTw5G1lSNUq8H1LLzbtqQ3pudJkcaBi9OATe2OhBHo8DE5dsqDRYkd6chKy9EkYbYyPAztRigdP8D3LM6jR1uPkX99+rBEr5hThvYMNuNBpQ9koA2iaEr3PgWExGckqnDf3Yt5Le8Nay5G+DvLsCSwDdNhcsLm8AAAKQEZyErIMKr6JMU0D71ddzYdxPdpmxoSlz4p+HlHcCNEm0fcx7nsViMPNoFnijFOZb8CvbpoAi93db9im2Nno6YVleHl3NerN9rDOSufbrTjd1I3q1h58eOgiOm0urFtUjptKsqJ6j6WeaSSfNVHsCIQoUme2Yt3O07ir0oQNu6v5TejZ2yfhZf+/gb6eK1WzC5GenMT/rVhi7wSR8KDBKoGRQCzMYu2tpRiVYsWsIunywsNBLO5HohN8z/LT1Fgxdxx++9EJgfHhP/ecw+qbS0BTlN+bZxfc53WLyjEqRYU0bRIK/DmjtW29WPbukbDWcqSvgzx7AljA5vbA6fGiyWIHwwI0BXgYFmt+OAE/f/coVAoauSlq3pNAIMSSkbCP5RjUoqGOuUY1att6UWe24vvmbhg1SmQkK7FoqglL3/hmwLBNsbPRY9tO4sGZhXjli5pBn5U4o/qqrccxKdcQtfw6qWd6U0lWSHP1y3nWJBuYQIgiLd0OzC/PxZZDDXhwZiGWzSnCQ7MK8YddZzG/PFfwXoebQWF6Mrg9rL/E3mCGUt3pchELs3hi+yn02L043x69ccMhFvcj0Qm+Z/PLc7Fh11nBut1yqAHzy3PxXVM3Gjqs6LS5Q+7zqq3H8eX37bhlw17sPNUMhmEHtZYjfR3k2V/ZeBkWPQ4PnB4GDAPIad8Gy7BAu9UJnVrJHyJLcwwxni3hSsXh8OCb82ZsP3YJ35w341xrb8LvY6U5ejy9sExQqfL5xeWoN9txy4a9eOCNQ9h2tBFr5k9E1eyxaO62w6hRAuhT1k41WUI+V0qeUJTw3+GelTbsrsYdU/P4v2EYFrVtvdh/rh21bb1ggpu0DhEp2XSqyRLRZ008dgRCFMnSq5CuVYR47FbMKYZaIbSrqBQ0OqxOlOcZ+L8NN7E3FtWd2nqcomOyYNHQYR22/jVijNRqV9Ek+J6laqTXbbvVjSQ5DYfbKylgA62mw5mkTp49gYNhWZitLtS1W3kvXW6KGi3dTri8DFgW6HV48M6DV2NyXgqpfBlDztfWYvI110m+npOZhr9/vHX4JjSMOBwefHKiCY9/0hf9su6O8oTfx+RyGgsrclGcmYxmiwPZBhW0Sjnmb9wHh5tBjkGFuypNot4zLoyTC9sMREqesAH612DPShTl+5tsvSpqnlKpsaVCVof6rIliRyBEkYI0LdpGGXDf6wdDLERvLp3Ob05c3y9TmoZP3JUqQCGW2BuL6k56tQIqBQ2jRok7puaBogAZBeQa1HBHyMI1VEZqtatoEnzPirKS8f+9fThk3b6+dBpOXOjC+Gw9MrTKfgUsJ5ymF6SFvZYjfR3cnMizv/JwehheqQN8XrrGLjtyDGo0dtlBUUB6spI0Ho8DvIBkPiMAnHl99fBNZpg50WThlTrAt2/Wtvcm3D4mlicml9OoGG3klbP959r5a7pjah5vOAT6ZAwXUqlS0Mg2hF6v2NmIy7ED+u9hJyUfaApYf+dkeBmEnQIzWKTGlgpZHeqzJoodgRBFaJqCxe4StcZY7G78bfksNHRYoVHKkaVPgim1L2F2MH1ZBqMERopOmxur502Aze3FS7v6vDqjUzWYVhDbPJVY3I9EJ/ieSXlkm7oceObv3/P3dOPdU/j8uUCLK9AnnIbaAykS10Ge/ZUJw7DweBkE25i4f9MUkKVTYWI26RtKiC3N3aF77QeHLuKpBWVY8/HJhNjHws0JDFRuuMiOQAK9Z1Lh0WLyxGTUYKrJOKSz0jO3T8JUUwpMqVp8fd4cNU+plGwqzdFHVGYRxY5AiDJZenFrTJY+CWMzk/sNWQy3L8twHpw5UjUK1Lb18kod0BcX/7fls6I2bjjE4n4kOsH3TEHToutWLvOFq3GWzL8tn4VPV8xCS7cDbi+LNR+fQJPFESKcBttjKFLXQZ79lUmd2QpQPgUuULmjKUCvkiNFo8cFlRxadVLsJkkgAMjWJ4XstZ02F4oytPg0QfaxcIu9BSo3AERlzNVjUnFjSSZKcwyS4dFi8iQSZ6VoRnz0N3YkZRZR7AiEKMMlEAc36Yx0ov5wHZw5JuUYcKlLPDa8rdcR0xw7YPjvx0gg8J55PEzIul07vxSv7TnHv5971jMK01GYkQyGYfH6/dNjfhAhz57Q0u1AR68LU9K0qDP35dgVpGuRrJJDRlOgqfg8JBOuLCblGPDkbWWCHLsnbytDSZYeKpU8IfaxcHObA5WYDqsTxZnJWLX1uMBT9U9j06MqN/qTD9GO+JAaO5Iyiyh2BEKUEUsg7s8SlSioVHJMzNEnXB4AITwC122TxYFUrRLP7TyN443d/HuCnzVRqAjxQpZeBaeXQUu372DJsCxkFAWtUgZZnHo9CNKM5OIqKpUct03KwZh0DVq6ncjSJ2FSjgEqVeIc0Qfj6QqUE1MZFpNyDTE3BgbOLdEjPhJn1RAICUxwAvFIYWxmMslnGsEErluGYfHAzLE4eYk8a0L8U5CmRY5BDbvbi5rWXtCUb79SKWSxnhphCIz04ioqlRzTxqTFehpDZqierng0BsbjnAYDUewIBMKQGQnWLUJ4kGdNSCRomoIuSY6CPANcHgZKOQ2VXAaQ5Toi6c+jl8jevESByIf4gSh2BALhskh06xYhfMizJiQaKoWMeOmuAPrz6CW6Ny9RIPIhPiCKHYFAGDJifWuIhW7kQ547IdaQNUggJD7kexx5iGJHIBCGRLh9awgjC/LcCbGGrEECIfEh3+PokNhl+QgEQsyQ6ltTZ7bGeGaEaEKeOyHWkDVIICQ+5HscHYjHjkAgDIlw+9YQRhbkuRNiTaTW4EAl9OsaGjBhqJMkEAj9QmRJdCCKHYFAGBKD6VtDGDmQ506INZFagwOV0K9Zc9dQp0ggEAaAyJLoQEIxCQTCkOD61qgUvm2E9DW7MiDPnRBryBokEBIf8j2ODsRjRyAQhgTpW3NlQp47IdaQNUggJD7kexwdiGJHIBCGDOlbc2VCnjsh1nBr8OGH7kNTq1n0PSRHjkCIb4gsiTxEsSMQCAQCgZCQNLWaJfPkSI4cgUC40qBYlo31HAaEoqgeAN/HYOh0AO1X0LixHDtW46pYli2L1IdRFNUGoF7kpVg+UzJ+7MePxBzaWZadF6nJ9LNWgfi4X5cLuYbYMZxrNV5ItGeVaPMFojPneFqrsX4msR4/HuYQz+OHtVYTRbE7xLJsJRl35I490seN5TMl48d+/HiZQ7gk0lylINdAGE4S7Vkl2nyBxJzzYIj19cV6/HiYw0gYn1TFJBAIBAKBQCAQCIQEhyh2BAKBQCAQCAQCgZDgJIpit4mMO+LHHunjxvKZkvFjPz4QH3MIl0SaqxTkGgjDSaI9q0SbL5CYcx4Msb6+WI8PxH4OCT9+QuTYEQgEAoFAIBAIBAJBmkTx2BEIBAKBQCAQCAQCQQKi2BEIBAKBQCAQCARCghNXih1FUfMoivqeoqgaiqJ+I/I6RVHUBv/rxymKmjpM4/7EP95xiqK+oiiqYjjGDXjfNIqivBRFLR6ucSmKuo6iqKMURZ2iKOp/IzFuOGNTFGWgKGo7RVHH/GMvjcCYf6YoqpWiqJMSr0dlXfk/O6xnfJljjKYo6guKok7779lK/+9TKYr6B0VR1f7/GwP+ZrV/Tt9TFPXPEZqHjKKoIxRF7Rju8SmKSqEo6i8URZ3x34drYnD9v/Tf/5MURb1HUZRquOdwuQzHeo00Q1n/8cpgvkOE2CEmU+L5WSXad8S/dx4MOAc84f99XM53sMTL84j1fjNYuR2F8QclsyM05qD2jiGdE1iWjYv/AMgAnANQCEAJ4BiAiUHvuQXA3wFQAGYA+HqYxr0WgNH/883DNW7A+3YD+BTA4mG63hQA3wEw+f+dOYzP+FEA6/w/ZwDoAKC8zHFnA5gK4KTE6xFfV4N5xhEYJwfAVP/POgBnAUwE8ByA3/h//5uA+zrRP5ckAGP8c5RFYB6PAHgXwA7/v4dtfABvAnjI/7PSv4aHc/xcAOcBqP3//gDA/cP9DBJhvUZh3oNa//H8X7jfIfJfzJ9TiEyJ52eVaN8R+GRxsv9nBYCv4ZPNcTnfRH0esd5vBiO3ozD2oGR2BMcNe+8Y6jkhnjx20wHUsCxby7KsC8D7ABYEvWcBgLdYHwcApFAUlRPtcVmW/Ypl2U7/Pw8AyLvMMcMa189yAFsBtEZgzHDHvRvAX1mWbQAAlv3/27v3WDnKMo7j3x+2XFvCRYq2iAWBQqxNC6SgIkGLgqIWEg3VVIgSSQNGjSkiEhFiIiYCQVOExDZKECFICNQYEFIkNUpCuRR6CPeLpVKucishtbSPf7zvkcmhp+xldi7n/D7J5uy+O7vPs+d9Z955Z96djSpjBzBZkoBJpIHd2/0EjYiV+X1GM4h2BZ3XcV8iYn1E3JvvvwE8RNpozSdtOMl/T8z35wPXRsTGiHgKeDzn2jNJ+wAnAEsLxZXEl7QraWO5DCAi/hsRr1YVv2ACsJOkCcDOwLM15NCPStpr2Xpo/43U5TpkNRqlT2lsXbVtHcl98Yb8cGK+BQ3Nt1tNqI+6tzc99NuD0E2fXYoutx097Sc0aWA3DXim8HhdLut2mUHELTqNdHanX+8ZV9I04CTgihLidRwXOAjYXdIdku6RdEqFsZcAh5BWsDXA9yJiS0nx+8mrSe87KknTgTmkI5x7R8R6SB0JMGWAeV0K/BAo1lVV8fcHXgR+l6eVLJW0S4XxiYh/AxcBa4H1wGsRcWuVOZSgiTl1pcP231TdrEPWPK2oq7asI3ma4GrSQe3bIqLR+faqxvqoe3vTbb9dqh767EEqdT+hSQM7baVs5G8xdLLMIOKmBaVPkwZ2Z/cZs9O4lwJnR8TmEuJ1E3cCcBjpaM5xwE8kHVRR7OOA1cBUYDawJB/ZGaRBtKtBvu/Wg0mTSGd3vx8Rr29r0a2U9ZyXpC8CL0TEPZ2+pMz4pPZ6KHB5RMwB3iRNZ6gqPnlO/HzSdImpwC6SFlaZQwmamFPHumj/jdPDOmTWtTatIxGxOSJmk2ZIzZU0s+6cylZXfTRke9Ntv12qHvrsOvTUJzdpYLcO+FDh8T6kszbdLjOIuEiaRTplPT8iXu4zZqdxDweulfQ08BXgN5L6PS3c6f/5loh4MyJeAlYCZVwwppPY3yRNA42IeJw0B/rgEmL3m1eT3vddJE0kdRBXR8QNufj54Sml+e/wlNqy8/ok8OXcTq8FPiPpDxXGXwesy0d0Aa4ndRhVxQc4FngqIl6MiE3ADaTv5laZQ7+amFNHumz/TdTtOmTN0+i6aus6kqfn3QEcTwvy7VTN9dGE7U23/XbZuu2zB6nU/YQmDexWAQdK2k/S9sACYPmIZZYDpyg5knTqdP2g40ral1Tp34iIR/uM13HciNgvIqZHxHRSoz8jIm4cdFzgJuBTkiZI2hk4gjQHvF+dxF4LzAOQtDcwA3iyhNjbMoh2BZ193r7l7yMuAx6KiEsKTy0HTs33TyXV63D5Akk7SNoPOBC4q9f4EXFOROyT2+kC4PaIWFhh/OeAZyTNyEXzSBf/qSR+thY4UtLOuT7mkdaZKnPoVyXttWw9tP/G6WEdsuZpbF21bR2RtJek3fL9nUg74Q/T0Hy7VXd9NGF700O/XbZu++xBKnc/IQZ4xZtub6SrEz5KuvLLublsEbAo3xdwWX5+DXB4RXGXAq+QpgiuBu6uIu6IZX9PCVfF7DQucBZpJRsiTROoqo6nArfm+h0CFpYQ8xrSHOpNpCMgp1XRrkb7vGXfgKNIp+cfKLTRLwB7AiuAx/LfPQqvOTfn9Ajw+RJzOYZ3rrBVWXzStN278//gRmD3qj8/cAFp52MIuIp0JavK66Dp7XUAOXfd/pt863Qd8q3WOtpan9LYumrbOgLMAu7L+Q4B5+XyRubb5vqoc3vTbb89gPhd9dklxexq29HLfoLyC83MzMzMzKylmjQV08zMzMzMzHrggZ2ZmZmZmVnLeWBnZmZmZmbWch7YmZmZmZmZtZwHdmZmZmZmZi3ngV1LSNosabWkByXdL+kHkrbLzx0jKSSdVlh+Ti5bXChbLOlhSUP5PU6p47PY+LKttpufnytppaRHcvtcmn8/0awWkjbkv9tJ+nXeZq6RtCr/nhCSnpb0/noztbFO0m6Szqg7D7NeFfYBhiT9ufAbhdMlDY1Y9vzifqt1zwO79ngrImZHxEeBz5J+8+SnhefXACcXHi8A7h9+IGlRft3ciJgJHE36/TazQRu17eYfof8TcHZEzAAOAW4BJteVrFnByaTf1pwVER8DTgJerTclG2d2AzywszYb3geYCfwHOLPuhMYyD+xaKCJeAE4HviNpeHC2FthR0t657Hjg5sLLfgycERGv5/d4LSKurDJvs6203TOBKyPizvx8RMT1EfF8nXmaZR8E1kfEFoCIWBcRr9Sck40vvwA+ks94/FLSWfnM8QOSLoD/n/kYnu0wJOlqScdK+oekxyTNzcudL+kqSbfn8m/X+slsPLoTmFZ3EmOZB3YtFRFPkupvSqH4euCrwCeAe4GNAJImA5Mj4omq8zQbaUTbnQncU29GZqO6DvhS3qm+WNKcuhOycedHwBMRMRu4DTgQmAvMBg6TdHRe7gDgV8As4GDg68BRwGLSgd1hs4ATgI8D50maWsWHMJP0PmAesLxQPHzQYrWk1cCierIbOzywa7eRUymvIw3svgZcM2K5qCopsw54GrA1XkSsA2YA5wBbgBWS5tWblY1jn8u3+0gHbw8mDfQAnoqINfns8oPAiogI0tc0phfe46aIeCsiXgL+Rhokmg3STnnQ9jKwB+kAxbAn8jTN2fngxRW1ZDiGeGDXUpL2BzYDLwyXRcRzwCbS95hWFMpfB97MrzGr1Yi2+yBwWL0ZmY0uIjZGxM0RcRbwc+DEunOycUvAhYUd4QMiYll+bmNhuS2Fx1uACYXnRh7k9UFfG7S38qDtw8D2+Dt2A+WBXQtJ2ot0VGNJPiJXdB7pQhSbR5RfCFwmadf8HrtKOn3w2Zq9YyttdwlwqqQjCssslPSBunI0Gybp0OGpavlKrrOAf9WblY0zb/DOxaT+CnxL0iQASdMkTRn1lVs3X9KOkvYEjgFWlZap2TZExGvAd4HFkibWnc9YNeG9F7GGGD6VPRF4G7gKuGTkQhHxz1FefzkwCVglaRPpzN7FA8rVrGjUthsRz0taAFyUd1C2ACuBG+pK1qxgCvBbSTvkx3eRDkaYVSIiXs4XQRkiXRDtj8Cd+bppG4CFpBkQnboL+AuwL/CziHi25JTNRhUR90m6n3Tl9r/Xnc9YpHef8DEzMzOzsUTS+cCGiLio7lzMbDA8FdPMzMzMzKzlfMbOzMzMzMys5XzGzszMzMzMrOU8sDMzMzMzM2s5D+zMzMzMzMxazgM7MzMzMzOzlvPAzszMzMzMrOX+BxLBZkVYZyqrAAAAAElFTkSuQmCC\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.pairplot(data, y_vars=\"temp\", x_vars=data.columns.values[:5])\n", + "sns.pairplot(data, y_vars=\"temp\", x_vars=data.columns.values[5:10])\n", + "sns.pairplot(data, y_vars=\"temp\", x_vars=data.columns.values[10:])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ciężko jest zauważyć jakieś w pełni widoczne zależności. Sprawdźmy jak usunięcie zerowych pomiarów zmienia wyniki. " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.pairplot(data[data[\"area\"] > 0], y_vars=\"temp\", x_vars=data.columns.values[:5])\n", + "sns.pairplot(data[data[\"area\"] > 0], y_vars=\"temp\", x_vars=data.columns.values[5:10])\n", + "sns.pairplot(data[data[\"area\"] > 0], y_vars=\"temp\", x_vars=data.columns.values[10:])\n", + "plt.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To, co możemy zauważyć to to, że zmniejszyły się możliwe wartości zmiennej ISI, a zwiększyły się wartości zmiennej FFMC.\n", + "Być może zmienne te są w pewien sposób powiązane. W tym celu porównajmy ich wartości (wpierw dla całego zbioru danych)." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(\n", + " x=data[[\"ISI\"]], y=data[[\"FFMC\"]])\n", + "plt.xlabel(\"ISI\")\n", + "plt.ylabel(\"FFMC\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Zmienna ta zdaje się mieć związek ze zmienną FFMC typu $\\text{FFMC} \\propto 100-\\dfrac{1}{\\text{ISI}}$. Sprawdźmy, czy rzeczywiście taki jest. Należy jednak zaznaczyć, ze zmienna ISI może mieć wartości zerowe, więc dokładnie tej postaci zależność mieć nie może." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x = np.array((100-1/data[[\"ISI\"]]).values).reshape(1,517)\n", + "y = data[[\"FFMC\"]].values.reshape(1,517)\n", + "\n", + "plt.scatter(x=x[0], y=y[0])\n", + "plt.title(\"Porównanie zmiennych ISI i FFMC dla wszystkich obserwacji\")\n", + "plt.xlabel(\"ISI\")\n", + "plt.ylabel(\"FFMC\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Przewidywana zależność mniej wiecej zachodzi - jednakże, oprócz podanego przekształcenia konieczne jest również afiniczne przekształcenie osi (przeskalowanie i przesunięcie). Spróbujmy następnie zbadać zmienną DMC. Przypomnijmy, że po usunięciu poimarów $\\text{area} = 0$ zależność miałaby być bardziej widoczna - sprawdźmy, czy rzeczywiście tak jest.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "x = np.array((100-1/data[data[\"area\"] > 0][[\"ISI\"]]).values).reshape(1,270)\n", + "y = data[data[\"area\"] > 0][[\"FFMC\"]].values.reshape(1,270)\n", + "\n", + "plt.scatter(x=x[0], y=y[0])\n", + "\n", + "plt.title(\"Porównanie zmiennych ISI i FFMC dla obserwacji tylko z pożarami\")\n", + "plt.xlabel(\"ISI\")\n", + "plt.ylabel(\"FFMC\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Wówczas przede wszystkim widoczne jest koncentrowanie sie pomiarów w prawym górnym rogu z pewną, nieco liniową zależnością.\n", + "### DMC\n", + "Zbadajmy następnie zależność zmiennych od zmiennej DMC" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sns.pairplot(data, y_vars=\"DMC\", x_vars=data.columns.values[:5])\n", + "sns.pairplot(data, y_vars=\"DMC\", x_vars=data.columns.values[5:10])\n", + "sns.pairplot(data, y_vars=\"DMC\", x_vars=data.columns.values[10:])\n", + "plt.plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Można wówczas zauważyć nieco interesujący związek ze zmienną DC - można zauważyć, że dane zdają się układać w odcinki." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(\n", + " x=data[[\"DC\"]], y=data[[\"DMC\"]])\n", + "plt.title(\"Porównanie zmiennych DC i DMC\")\n", + "plt.xlabel(\"DC\")\n", + "plt.ylabel(\"DMC\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Zdaje się również, że odcinki te są nachylone mniej więcej pod tym samym kotem do osi." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax1 = sns.scatterplot(\n", + " data = data,\n", + " x='DC',\n", + " y='DMC',\n", + " hue='month',\n", + " hue_order = order_by_month\n", + ")\n", + "plt.title(\"Porównanie zmiennych DC i DMC w podziale na miesiące\")\n", + "ax1.legend(loc='center left', bbox_to_anchor=(1.25, 0.5), ncol=1)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Okazuje się, że zależność odcinkowa w pewnym stopniu pozostaje nawet jakby rozróżniać dane między miesiące, to wciąż pozostają częściowe zależności odcinkowe. Co więcej, miesiące letnie charakteryzują się większymi wartościami obydwu parametrów.\n", + "\n", + "Zależność pomiędzy DC i DMC może wynikać z ich definicji - DC jest ocenia wilgoci głębokich warstw organicznych, natomiast DMC ocenia wilgoci średnio głębokich warstw organicznych. Być może wilgoć może przenikać z jednej głębokości do innej przyczyniając się do regularności z wykresu\n", + "\n", + "Przeprowadzenie tego typu rozróżnienia dla zmiennych ISI i FFMC nie ujawnia żadnej nowej regularności regularności." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax1 = sns.scatterplot(\n", + " data = data,\n", + " x=(100 - 1/data['ISI']),\n", + " y='FFMC',\n", + " hue='month',\n", + " hue_order = order_by_month\n", + ")\n", + "plt.title(\"Porównanie zmiennych ISI i FFMC w podziale na miesiące\")\n", + "ax1.legend(loc='center left', bbox_to_anchor=(1.25, 0.5), ncol=1)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Eksploracja automatyczna\n", + "\n", + "Na koniec pokażmy jakie wnioski możemy uzyskać korzystająć z eksploracji automatycznej." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "from pandas_profiling import ProfileReport" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "profile = ProfileReport(data, title=\"Pandas Profiling Report\")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d9580facebf34e1a87c1ae0a456d1eba", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Summarize dataset: 0%| | 0/27 [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
XYmonthdayFFMCDMCDCISItempRHwindrainareaexclude_not_fire
075marfri86.226.294.35.18.2516.70.00.0all data
174octtue90.635.4669.16.718.0330.90.00.0all data
274octsat90.643.7686.96.714.6331.30.00.0all data
386marfri91.733.377.59.08.3974.00.20.0all data
486marsun89.351.3102.29.611.4991.80.00.0all data
586augsun92.385.3488.014.722.2295.40.00.0all data
686augmon92.388.9495.68.524.1273.10.00.0all data
786augmon91.5145.4608.210.78.0862.20.00.0all data
886septue91.0129.5692.67.013.1635.40.00.0all data
975sepsat92.588.0698.67.122.8404.00.00.0all data
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XYmonthdayFFMCDMCDCISItempRHwindrainareaexclude_not_fire
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50954augfri91.0166.9752.67.121.1717.61.42.17all data
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51324augsun81.656.7665.61.921.9715.80.054.29all data
51474augsun81.656.7665.61.921.2706.70.011.16all data
51514augsat94.4146.0614.711.325.6424.00.00.00all data
51663novtue79.53.0106.71.111.8314.50.00.00all data
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XYmonthdayFFMCDMCDCISItempRHwindrainareaexclude_not_firecount
034augsun91.4142.4601.410.619.8395.40.00.00all data2
136junfri91.194.1232.17.119.2384.50.00.00all data2
243augwed92.1111.2654.19.620.4424.90.00.00all data2
344marsat91.735.880.87.817.0274.90.028.66all data2
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" + ], + "text/plain": [ + " X Y month day FFMC DMC DC ISI temp RH wind rain area \\\n", + "0 3 4 aug sun 91.4 142.4 601.4 10.6 19.8 39 5.4 0.0 0.00 \n", + "1 3 6 jun fri 91.1 94.1 232.1 7.1 19.2 38 4.5 0.0 0.00 \n", + "2 4 3 aug wed 92.1 111.2 654.1 9.6 20.4 42 4.9 0.0 0.00 \n", + "3 4 4 mar sat 91.7 35.8 80.8 7.8 17.0 27 4.9 0.0 28.66 \n", + "\n", + " exclude_not_fire count \n", + "0 all data 2 \n", + "1 all data 2 \n", + "2 all data 2 \n", + "3 all data 2 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "66a6783cee3b47729fc3b1245b9c18af", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(Tab(children=(Tab(children=(GridBox(children=(VBox(children=(GridspecLayout(children=(HTML(valu…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "profile.to_widgets()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "296e61679cfb4cc1aeceb0a1d7114e46", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Render HTML: 0%| | 0/1 [00:00" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "profile.to_notebook_iframe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Ten sposób automatycznej eskploracji pozwala na szybkie zapoznanie się z danymi od strony ich struktury. Pozwalają również na zaobserwowanie zależności między danymi w parach (również dzięki macierzy korelacji). Jednakże wszelkie te wyniki nie dają żadnej interpretacji, tylko statystyczne poszlaki zależności; wymagają zatem dodatkowej analizy.\n", + "\n", + "Panel interakcji pozwala na porównywanie tylko par danych, bez możliwości dodania np. rozróżnienia ze względu na miesiące występujące w zbiorze danych. Choć podane są wartości ekstremalne (a więc można mieć sugestię co do outlierów), nie można przeanalizować wyników bez nich bez modyfikowania zbioru danych (czyli ponownej analizy na nieco innym zbiorze).\n", + "\n", + "Pewną cechą tej automatyzacji jest również to, że aby zobacz raport, trzeba go całego wygenerować, niezależnie od tego, która zależność nas interesuje - zdaje się zatem, że jest to dobry pomysł na pierwsze zapoznanie się z danymi, ale niekoniecznie na gruntowną ich analizę. (Dla dużych zbiorów danych jest opcja zminimalizowania raportu, zapewne usprawniającego jego generowanie)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.pdf b/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.pdf new file mode 100644 index 0000000000000000000000000000000000000000..333211ffae28c395ccb5d4016a92313b197d3106 GIT binary patch literal 538764 zcmbTebwCwew+DOxk&+UnTLh&;5Trp$x+J9G&>e>^X(f6yOnOFrMv5!bMSee 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<43794510+Korigami@users.noreply.github.com> Date: Mon, 22 Mar 2021 21:57:18 +0100 Subject: [PATCH 03/10] Create .gitkeep --- Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/.gitkeep | 1 + 1 file changed, 1 insertion(+) create mode 100644 Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/.gitkeep diff --git a/Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/.gitkeep b/Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/.gitkeep new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/.gitkeep @@ -0,0 +1 @@ + From 1410101e2c95fdecada29a473a3fd77c8f44d6a3 Mon Sep 17 00:00:00 2001 From: Korigami <43794510+Korigami@users.noreply.github.com> Date: Mon, 22 Mar 2021 21:57:43 +0100 Subject: [PATCH 04/10] [Grupa 3] PD2 Kacper Kurowski --- ...pa 3] Praca Domowa 2 Kacper Kurowski.ipynb | 852 ++++++++++++++++++ ...rupa 3] Praca Domowa 2 Kacper Kurowski.pdf | Bin 0 -> 193059 bytes 2 files changed, 852 insertions(+) create mode 100644 Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/[Grupa 3] Praca Domowa 2 Kacper Kurowski.ipynb create mode 100644 Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/[Grupa 3] Praca Domowa 2 Kacper Kurowski.pdf diff --git a/Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/[Grupa 3] Praca Domowa 2 Kacper Kurowski.ipynb b/Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/[Grupa 3] Praca Domowa 2 Kacper Kurowski.ipynb new file mode 100644 index 000000000..605337871 --- /dev/null +++ b/Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/[Grupa 3] Praca Domowa 2 Kacper Kurowski.ipynb @@ -0,0 +1,852 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# [WUM] PD2\n", + "## Kacper Kurowski\n", + "\n", + "# 1. Kodowanie danych\n", + "Zacznijmy od załączenia paczek, wczytania danych i " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv(\"https://www.dropbox.com/s/360xhh2d9lnaek3/allegro-api-transactions.csv?dl=1\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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lpdateitem_idcategoriespay_option_on_deliverypay_option_transfersellerpriceit_is_allegro_standardit_quantityit_is_brand_zoneit_seller_ratingit_locationmain_category
002016-04-03 21:21:084753602474['Komputery', 'Dyski i napędy', 'Nośniki', 'No...11radzioch66659.991997050177WarszawaKomputery
112016-04-03 15:35:264773181874['Odzież, Obuwie, Dodatki', 'Bielizna damska',...11InwestycjeNET4.9019288012428WarszawaOdzież, Obuwie, Dodatki
222016-04-03 14:14:314781627074['Dom i Ogród', 'Budownictwo i Akcesoria', 'Śc...11otostyl_com109.90189507389LesznoDom i Ogród
332016-04-03 19:55:444783971474['Książki i Komiksy', 'Poradniki i albumy', 'Z...11Matfel118.500971015006Wola KrzysztoporskaKsiążki i Komiksy
442016-04-03 18:05:544787908274['Odzież, Obuwie, Dodatki', 'Ślub i wesele', '...11PPHU_RICO19.901950032975BIAŁYSTOKOdzież, Obuwie, Dodatki
\n", + "
" + ], + "text/plain": [ + " lp date item_id \\\n", + "0 0 2016-04-03 21:21:08 4753602474 \n", + "1 1 2016-04-03 15:35:26 4773181874 \n", + "2 2 2016-04-03 14:14:31 4781627074 \n", + "3 3 2016-04-03 19:55:44 4783971474 \n", + "4 4 2016-04-03 18:05:54 4787908274 \n", + "\n", + " categories pay_option_on_delivery \\\n", + "0 ['Komputery', 'Dyski i napędy', 'Nośniki', 'No... 1 \n", + "1 ['Odzież, Obuwie, Dodatki', 'Bielizna damska',... 1 \n", + "2 ['Dom i Ogród', 'Budownictwo i Akcesoria', 'Śc... 1 \n", + "3 ['Książki i Komiksy', 'Poradniki i albumy', 'Z... 1 \n", + "4 ['Odzież, Obuwie, Dodatki', 'Ślub i wesele', '... 1 \n", + "\n", + " pay_option_transfer seller price it_is_allegro_standard \\\n", + "0 1 radzioch666 59.99 1 \n", + "1 1 InwestycjeNET 4.90 1 \n", + "2 1 otostyl_com 109.90 1 \n", + "3 1 Matfel1 18.50 0 \n", + "4 1 PPHU_RICO 19.90 1 \n", + "\n", + " it_quantity it_is_brand_zone it_seller_rating it_location \\\n", + "0 997 0 50177 Warszawa \n", + "1 9288 0 12428 Warszawa \n", + "2 895 0 7389 Leszno \n", + "3 971 0 15006 Wola Krzysztoporska \n", + "4 950 0 32975 BIAŁYSTOK \n", + "\n", + " main_category \n", + "0 Komputery \n", + "1 Odzież, Obuwie, Dodatki \n", + "2 Dom i Ogród \n", + "3 Książki i Komiksy \n", + "4 Odzież, Obuwie, Dodatki " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "means = data.groupby('it_location')['price'].mean()\n", + "data['it_location_encoded'] = data['it_location'].map(means)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " lp date item_id \\\n", + "0 0 2016-04-03 21:21:08 4753602474 \n", + "1 1 2016-04-03 15:35:26 4773181874 \n", + "2 2 2016-04-03 14:14:31 4781627074 \n", + "3 3 2016-04-03 19:55:44 4783971474 \n", + "4 4 2016-04-03 18:05:54 4787908274 \n", + "... ... ... ... \n", + "420015 420015 2016-04-03 20:27:13 6099625607 \n", + "420016 420016 2016-04-03 22:35:02 6099634607 \n", + "420017 420017 2016-04-03 22:38:57 6099780407 \n", + "420018 420018 2016-04-03 22:44:17 6099801007 \n", + "420019 420019 2016-04-03 23:08:23 6099873207 \n", + "\n", + " categories \\\n", + "0 ['Komputery', 'Dyski i napędy', 'Nośniki', 'No... \n", + "1 ['Odzież, Obuwie, Dodatki', 'Bielizna damska',... \n", + "2 ['Dom i Ogród', 'Budownictwo i Akcesoria', 'Śc... \n", + "3 ['Książki i Komiksy', 'Poradniki i albumy', 'Z... \n", + "4 ['Odzież, Obuwie, Dodatki', 'Ślub i wesele', '... \n", + "... ... \n", + "420015 ['RTV i AGD', 'Sprzęt audio dla domu', 'Odtwar... \n", + "420016 ['Uroda', 'Makijaż', 'Oczy', 'Tusze do rzęs'] \n", + "420017 ['Odzież, Obuwie, Dodatki', 'Przebrania, kosti... \n", + "420018 ['Dla Dzieci', 'Rowery i pojazdy', 'Rowery bie... \n", + "420019 ['Motoryzacja', 'Części samochodowe', 'Koła, f... \n", + "\n", + " pay_option_on_delivery pay_option_transfer seller price \\\n", + "0 1 1 radzioch666 59.99 \n", + "1 1 1 InwestycjeNET 4.90 \n", + "2 1 1 otostyl_com 109.90 \n", + "3 1 1 Matfel1 18.50 \n", + "4 1 1 PPHU_RICO 19.90 \n", + "... ... ... ... ... \n", + "420015 0 0 iwona7012 180.00 \n", + "420016 1 1 Dolce_Cosmetics 14.99 \n", + "420017 1 1 pewex4all 5.99 \n", + "420018 1 0 kostasia 200.00 \n", + "420019 0 0 Malami172 500.00 \n", + "\n", + " it_is_allegro_standard it_quantity it_is_brand_zone \\\n", + "0 1 997 0 \n", + "1 1 9288 0 \n", + "2 1 895 0 \n", + "3 0 971 0 \n", + "4 1 950 0 \n", + "... ... ... ... \n", + "420015 0 0 0 \n", + "420016 1 2 0 \n", + "420017 1 470 0 \n", + "420018 0 0 0 \n", + "420019 0 0 0 \n", + "\n", + " it_seller_rating it_location main_category \\\n", + "0 50177 Warszawa Komputery \n", + "1 12428 Warszawa Odzież, Obuwie, Dodatki \n", + "2 7389 Leszno Dom i Ogród \n", + "3 15006 Wola Krzysztoporska Książki i Komiksy \n", + "4 32975 BIAŁYSTOK Odzież, Obuwie, Dodatki \n", + "... ... ... ... \n", + "420015 176 Kraśnik RTV i AGD \n", + "420016 34851 Dzierżoniów Uroda \n", + "420017 983 Supraśl Odzież, Obuwie, Dodatki \n", + "420018 163 Poznań Dla Dzieci \n", + "420019 265 Pszów Motoryzacja \n", + "\n", + " it_location_encoded \n", + "0 85.423398 \n", + "1 85.423398 \n", + "2 61.990914 \n", + "3 35.433365 \n", + "4 117.191956 \n", + "... ... \n", + "420015 24.306929 \n", + "420016 66.785334 \n", + "420017 18.682800 \n", + "420018 106.203076 \n", + "420019 78.136792 \n", + "\n", + "[420020 rows x 15 columns]\n" + ] + } + ], + "source": [ + "print(data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Przewagi target nad one_hot\n", + "\n", + "Prawdopodobnie największą przewagą target encoding nad one hot jest to, że target encoding znacząco zmniejsza pamięć potrzebną do zapisania (w szczególności sporej liczby) kategorii. Zasadniczo nie jet istotna liczba kategorii, gdyż i tak wynikiem będzie float. \n", + "\n", + "Kolejną przewagą jest to, że przy dostatecznie dużej liczby danych możemy uchwycić nietrywialne zależności między niezbyt dokładnie spreparowanymi danymi, tzn. zauważmy, że zmienna it_location nie ma ustalonej konwencji zapisowej - Mamy \"Warszawa\", \"Leszno\", ale także \"BIAŁYSTOK\" - tylko capsem. Gdyby zatem funkcjonowała także nazwa \"Białystok\", to one hot uznałby te nazwy jako inne, choć reprezentują ten sam obiekt. Target encoding z kolei, pod warunkiem dostatecznie wielu danych (dla obydwu nazw) ma szansę ujednolicić je. \n", + "\n", + "Powyżej wymieniona cecha jest jednak też czymś, co może zostać potratowane jako wadę - one hot wszystkie różniące się zmienne traktuje inaczej, podczas gdy target zlewa je do porównywalnych ze sobą liczb typu float - pozwalając na porównywanie nie do końca porównywalnych ze sobą nazw. \n", + "\n", + "Jeszcze jedną zaletą target jest to, że wykorzystuje ona dane z dwóch kolummn - jednej, do zakodowania, drugiej do zagregowania informacji względem zmiennej, którą kodujemy - tym samym uzyskujemy częściową informację z jednej z kolumn\n", + "\n", + "## Porównanie 3 metod" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "from numpy import array\n", + "import category_encoders as ce\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "OneHot Encoder: main_category_1 main_category_2 main_category_3 main_category_4 \\\n", + "0 1 0 0 0 \n", + "1 0 1 0 0 \n", + "2 0 0 1 0 \n", + "3 0 0 0 1 \n", + "4 0 1 0 0 \n", + "... ... ... ... ... \n", + "420015 0 0 0 0 \n", + "420016 0 0 0 0 \n", + "420017 0 1 0 0 \n", + "420018 0 0 0 0 \n", + "420019 0 0 0 0 \n", + "\n", + " main_category_5 main_category_6 main_category_7 main_category_8 \\\n", + "0 0 0 0 0 \n", + "1 0 0 0 0 \n", + "2 0 0 0 0 \n", + "3 0 0 0 0 \n", + "4 0 0 0 0 \n", + "... ... ... ... ... \n", + "420015 0 1 0 0 \n", + "420016 0 0 0 0 \n", + "420017 0 0 0 0 \n", + "420018 0 0 0 1 \n", + "420019 0 0 1 0 \n", + "\n", + " main_category_9 main_category_10 ... main_category_18 \\\n", + "0 0 0 ... 0 \n", + "1 0 0 ... 0 \n", + "2 0 0 ... 0 \n", + "3 0 0 ... 0 \n", + "4 0 0 ... 0 \n", + "... ... ... ... ... \n", + "420015 0 0 ... 0 \n", + "420016 1 0 ... 0 \n", + "420017 0 0 ... 0 \n", + "420018 0 0 ... 0 \n", + "420019 0 0 ... 0 \n", + "\n", + " main_category_19 main_category_20 main_category_21 \\\n", + "0 0 0 0 \n", + "1 0 0 0 \n", + "2 0 0 0 \n", + "3 0 0 0 \n", + "4 0 0 0 \n", + "... ... ... ... \n", + "420015 0 0 0 \n", + "420016 0 0 0 \n", + "420017 0 0 0 \n", + "420018 0 0 0 \n", + "420019 0 0 0 \n", + "\n", + " main_category_22 main_category_23 main_category_24 \\\n", + "0 0 0 0 \n", + "1 0 0 0 \n", + "2 0 0 0 \n", + "3 0 0 0 \n", + "4 0 0 0 \n", + "... ... ... ... \n", + "420015 0 0 0 \n", + "420016 0 0 0 \n", + "420017 0 0 0 \n", + "420018 0 0 0 \n", + "420019 0 0 0 \n", + "\n", + " main_category_25 main_category_26 main_category_27 \n", + "0 0 0 0 \n", + "1 0 0 0 \n", + "2 0 0 0 \n", + "3 0 0 0 \n", + "4 0 0 0 \n", + "... ... ... ... \n", + "420015 0 0 0 \n", + "420016 0 0 0 \n", + "420017 0 0 0 \n", + "420018 0 0 0 \n", + "420019 0 0 0 \n", + "\n", + "[420020 rows x 27 columns]\n", + "Binary Encoder: main_category_0 main_category_1 main_category_2 main_category_3 \\\n", + "0 0 0 0 0 \n", + "1 0 0 0 0 \n", + "2 0 0 0 0 \n", + "3 0 0 0 1 \n", + "4 0 0 0 0 \n", + "... ... ... ... ... \n", + "420015 0 0 0 1 \n", + "420016 0 0 1 0 \n", + "420017 0 0 0 0 \n", + "420018 0 0 1 0 \n", + "420019 0 0 0 1 \n", + "\n", + " main_category_4 main_category_5 \n", + "0 0 1 \n", + "1 1 0 \n", + "2 1 1 \n", + "3 0 0 \n", + "4 1 0 \n", + "... ... ... \n", + "420015 1 0 \n", + "420016 0 1 \n", + "420017 1 0 \n", + "420018 0 0 \n", + "420019 1 1 \n", + "\n", + "[420020 rows x 6 columns]\n", + "Count Encoder: main_category\n", + "0 14491\n", + "1 54257\n", + "2 91042\n", + "3 11572\n", + "4 54257\n", + "... ...\n", + "420015 20341\n", + "420016 28096\n", + "420017 54257\n", + "420018 42107\n", + "420019 45941\n", + "\n", + "[420020 rows x 1 columns]\n" + ] + } + ], + "source": [ + "values = array( data.main_category)\n", + "\n", + "# onehot encode\n", + "onehot_encoded = ce.OneHotEncoder().fit_transform(data.main_category)\n", + "print( \"OneHot Encoder:\", onehot_encoded)\n", + "# binary encode\n", + "binary_encoded = ce.BinaryEncoder().fit_transform(data.main_category)\n", + "print( \"Binary Encoder:\", binary_encoded)\n", + "# count encode\n", + "count_encoded = ce.count.CountEncoder().fit_transform(data.main_category)\n", + "print( \"Count Encoder:\", count_encoded)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Wyjaśnienie działania:\n", + "\n", + "Niech $n$ będzie liczbą nazw w danej kolumnie\n", + "* One-hot encoder zapisuje każdą nazwę jako wektor n-wymiarowy\n", + "* Binary encoder zapisuje każdą nazwę jako ciąg (krotkę) binarny długości $ \\approx \\lceil log_2(n )\\rceil$\n", + "* Count encoder zapisuje każdą nazwę jako liczbę powtórzeń tej nazwy w danej kolumnie\n", + "\n", + "Należy zaznaczyć, że o ile dwa pierwsze sposoby encodowania są różnowartościowe, o tyle trzeci już niekoniecznie - co może ograniczyć jego uzyteczność. Trzeci sposób moze być zarazem najefektywniejszy, jak i najmniej efektywny pamięciowo - dla małej liczby bardzo często powtarzającyh się kategorii niepotrzebnie będzie kodował kategorie poprzez duże liczby.\n", + "Drugi sposób kodowania jest efektywniejszy pamięciowo (gdyby krokta binarna była krotką binarną w pamięci) niż pierwszy. \n", + "\n", + "Zależnie od sytuacji pierwszy jak i trzeci sposób kodowania może dawać problematyczne rezultaty - pierwszy nie dba o liczbę powtórzeń, zaś drugi o liczbę kategorii. Gdyby zatem mieć 1000 kategorii, każda występująca 1 raz, to pierwszy sposób by zapisywał dane jako ciag długości 1000, z kolei trzeci wszystkie by zrzutował na 1.\n", + "\n", + "Powyższe uwagi mogłyby sugerować, że binary encode jest lepszy od pozostałych. Jednakże, ten sposób zakodowywania prowadzi do błędnego przypuszczenia, że taka sama wartość dwóch różnych nazw na $i$-tej pozycji w krotce oznacza pewne powiązanie tych nazw - tak oczywiscie nie musi być. (Count Encoder prowadzi do jeszcze większego problemu z konieczną porównywalnością zakodowanych kategorii)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Uzupełnianie braków\n", + "\n", + "Zacznijmy od zmniejszenia liczby rozważanych kolumn i doczytania paczek" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "data_smaller = pd.DataFrame( data[[\"price\", \"it_seller_rating\", \"it_quantity\"]])" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "metadata": {}, + "outputs": [], + "source": [ + "from random import shuffle\n", + "import numpy as np\n", + "from sklearn.impute import KNNImputer\n" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics import mean_squared_error\n", + "\n", + "def random_remove_seller_rating_get_rmse( df):\n", + " \n", + " df_new = df.copy()\n", + " \n", + " values_new = array( df_new[\"it_seller_rating\"])\n", + "\n", + " leng = len( values_new)\n", + " leng_rang = np.arange( leng)\n", + "\n", + "\n", + "\n", + " shuffle( leng_rang)\n", + " count = int( leng* 0.1)\n", + " for i in range( count):\n", + " values_new[ leng_rang[ i]] = -1 # Możemy dać -1, bo ani it_seller, ani it_quantity nie przybierają tej wartości\n", + " \n", + " values_new = values_new.reshape(1, -1)\n", + " \n", + " imputer = KNNImputer(n_neighbors=4, weights=\"uniform\", missing_values=-1)\n", + " imputer.fit_transform( values_new )\n", + " \n", + " df_new[\"it_seller_rating\"] = values_new[0]\n", + " \n", + " return mean_squared_error( df, df_new, squared=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " price it_seller_rating it_quantity\n", + "0 59.99 50177 997\n", + "1 4.90 12428 9288\n", + "2 109.90 7389 895\n", + "3 18.50 15006 971\n", + "4 19.90 32975 950\n", + "... ... ... ...\n", + "420015 180.00 176 0\n", + "420016 14.99 34851 2\n", + "420017 5.99 983 470\n", + "420018 200.00 163 0\n", + "420019 500.00 265 0\n", + "\n", + "[420020 rows x 3 columns]\n" + ] + } + ], + "source": [ + "print( data_smaller)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "1\n", + "2\n", + "3\n", + "4\n", + "5\n", + "6\n", + "7\n", + "8\n", + "9\n" + ] + } + ], + "source": [ + "errors = list()\n", + "for i in range( 10):\n", + " errors.append( random_remove_seller_rating_get_rmse( data_smaller) )\n", + " print(i) # Może nieco zająć, więc patrzymy, kiedy dana iteracja się skończy" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "metadata": {}, + "outputs": [], + "source": [ + "import statistics\n", + "std = statistics.stdev(errors)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "63.444572946079646\n" + ] + } + ], + "source": [ + "print(std)" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "metadata": {}, + "outputs": [], + "source": [ + "def random_remove_two_columns_get_rmse( df):\n", + " \n", + " df_new = df.copy()\n", + " \n", + " values_new = array( df_new [\"it_seller_rating\"])\n", + " values2_new = array( df_new [\"it_quantity\"])\n", + " \n", + " \n", + " # change in it_seller\n", + " \n", + " leng = len( values_new)\n", + " leng_rang = np.arange( leng)\n", + "\n", + " shuffle( leng_rang)\n", + " count = int( leng* 0.1)\n", + " for i in range( count):\n", + " values_new[ leng_rang[ i]] = -1 # Możemy dać -1, bo ani it_seller, ani it_quantity nie przybierają tej wartości\n", + " \n", + " values_new = values_new.reshape(1, -1)\n", + " \n", + " imputer = KNNImputer(n_neighbors=4, weights=\"uniform\", missing_values=-1)\n", + " imputer.fit_transform( values_new )\n", + " \n", + " df_new[\"it_seller_rating\"] = values_new[0]\n", + " \n", + " # change in it_quantity\n", + " \n", + " leng = len( values2_new)\n", + " leng_rang = np.arange( leng)\n", + "\n", + " shuffle( leng_rang)\n", + " count = int( leng* 0.1)\n", + " for i in range( count):\n", + " values2_new[ leng_rang[ i]] = -1 # Możemy dać -1, bo ani it_seller, ani it_quantity nie przybierają tej wartości\n", + " \n", + " values2_new = values2_new.reshape(1, -1)\n", + " \n", + " imputer = KNNImputer(n_neighbors=4, weights=\"uniform\", missing_values=-1)\n", + " imputer.fit_transform( values2_new )\n", + " \n", + " df_new[\"it_quantity\"] = values2_new[0]\n", + " \n", + " \n", + " return mean_squared_error( df, df_new, squared=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n", + "1\n", + "2\n", + "3\n", + "4\n", + "5\n", + "6\n", + "7\n", + "8\n", + "9\n" + ] + } + ], + "source": [ + "errors2 = list()\n", + "for i in range( 10):\n", + " errors2.append( random_remove_two_columns_get_rmse( data_smaller) )\n", + " print(i) # Może nieco zająć, więc patrzymy, kiedy dana iteracja się skończy" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "std dla jednej kolumny: 63.444572946079646\n", + "błędy dla jednej kolumny: [7638.373829227394, 7562.741683760912, 7688.771474542412, 7537.950660277675, 7742.097780304491, 7638.127326858296, 7653.744816601474, 7725.269679247705, 7635.936085015791, 7647.295282074816]\n", + "\n", + "std dla dwóch kolumn: 50.57526433343624\n", + "błędy dla dwóch kolumn: [8813.932596485596, 8793.4535905665, 8922.302913582296, 8838.410181447824, 8906.116284693506, 8838.528734754467, 8901.595926056509, 8930.713668560207, 8918.613928313114, 8839.298444313119]\n" + ] + } + ], + "source": [ + "std2 = statistics.stdev(errors2)\n", + "print(\"std dla jednej kolumny: \", std)\n", + "print(\"błędy dla jednej kolumny: \", errors)\n", + "print()\n", + "print(\"std dla dwóch kolumn: \", std2)\n", + "print(\"błędy dla dwóch kolumn: \", errors2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### WNIOSKI:\n", + "\n", + "Zdaje się, że choć błędy są większe dla procesu zmieniania dwóch kolumn, to odchylenie standardowe uzyskiwanych błędów jest mniejsze niż gdyby zmieniało się tylko jedną kolumnę. " + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [], + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": {}, + "outputs": [], + "source": [ + "error_df1 = pd.DataFrame( errors, columns = [\"errors\"])\n", + "error_df1[\"no_of_changed_cols\"] = 1\n", + "error_df2 = pd.DataFrame( errors2, columns = [\"errors\"])\n", + "error_df2[\"no_of_changed_cols\"] = 2\n", + "\n", + "error_df = pd.concat( [error_df1, error_df2])\n", + "error_df = error_df.reset_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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zu^~)G{SVSne2oop6#85?OtPr0fQ?h?!iMf0Asxj}*}&UTJ40kZ86RwLQ`CO!p*s=< z?F{LL`;eQ9rM=@W7ZENOJ{hq0gexWC#hL2RRjM#UkQ>>Xot)g{V5T4XZRp*xrHk9p TTQ-ahuXhNM1q-zF*NFTZwNL!# literal 0 HcmV?d00001 From f709db0c4e364b5e01f25855783394ec4bf68993 Mon Sep 17 00:00:00 2001 From: Korigami <43794510+Korigami@users.noreply.github.com> Date: Tue, 30 Mar 2021 12:30:09 +0200 Subject: [PATCH 05/10] Delete [Grupa 3] Praca Domowa 2 Kacper Kurowski.ipynb --- ...pa 3] Praca Domowa 2 Kacper Kurowski.ipynb | 852 ------------------ 1 file changed, 852 deletions(-) delete mode 100644 Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/[Grupa 3] Praca Domowa 2 Kacper Kurowski.ipynb diff --git a/Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/[Grupa 3] Praca Domowa 2 Kacper Kurowski.ipynb b/Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/[Grupa 3] Praca Domowa 2 Kacper Kurowski.ipynb deleted file mode 100644 index 605337871..000000000 --- a/Prace_domowe/Praca_domowa2/Grupa3/Kurowski_Kacper/[Grupa 3] Praca Domowa 2 Kacper Kurowski.ipynb +++ /dev/null @@ -1,852 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# [WUM] PD2\n", - "## Kacper Kurowski\n", - "\n", - "# 1. Kodowanie danych\n", - "Zacznijmy od załączenia paczek, wczytania danych i " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "data = pd.read_csv(\"https://www.dropbox.com/s/360xhh2d9lnaek3/allegro-api-transactions.csv?dl=1\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "

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lpdateitem_idcategoriespay_option_on_deliverypay_option_transfersellerpriceit_is_allegro_standardit_quantityit_is_brand_zoneit_seller_ratingit_locationmain_category
002016-04-03 21:21:084753602474['Komputery', 'Dyski i napędy', 'Nośniki', 'No...11radzioch66659.991997050177WarszawaKomputery
112016-04-03 15:35:264773181874['Odzież, Obuwie, Dodatki', 'Bielizna damska',...11InwestycjeNET4.9019288012428WarszawaOdzież, Obuwie, Dodatki
222016-04-03 14:14:314781627074['Dom i Ogród', 'Budownictwo i Akcesoria', 'Śc...11otostyl_com109.90189507389LesznoDom i Ogród
332016-04-03 19:55:444783971474['Książki i Komiksy', 'Poradniki i albumy', 'Z...11Matfel118.500971015006Wola KrzysztoporskaKsiążki i Komiksy
442016-04-03 18:05:544787908274['Odzież, Obuwie, Dodatki', 'Ślub i wesele', '...11PPHU_RICO19.901950032975BIAŁYSTOKOdzież, Obuwie, Dodatki
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" - ], - "text/plain": [ - " lp date item_id \\\n", - "0 0 2016-04-03 21:21:08 4753602474 \n", - "1 1 2016-04-03 15:35:26 4773181874 \n", - "2 2 2016-04-03 14:14:31 4781627074 \n", - "3 3 2016-04-03 19:55:44 4783971474 \n", - "4 4 2016-04-03 18:05:54 4787908274 \n", - "\n", - " categories pay_option_on_delivery \\\n", - "0 ['Komputery', 'Dyski i napędy', 'Nośniki', 'No... 1 \n", - "1 ['Odzież, Obuwie, Dodatki', 'Bielizna damska',... 1 \n", - "2 ['Dom i Ogród', 'Budownictwo i Akcesoria', 'Śc... 1 \n", - "3 ['Książki i Komiksy', 'Poradniki i albumy', 'Z... 1 \n", - "4 ['Odzież, Obuwie, Dodatki', 'Ślub i wesele', '... 1 \n", - "\n", - " pay_option_transfer seller price it_is_allegro_standard \\\n", - "0 1 radzioch666 59.99 1 \n", - "1 1 InwestycjeNET 4.90 1 \n", - "2 1 otostyl_com 109.90 1 \n", - "3 1 Matfel1 18.50 0 \n", - "4 1 PPHU_RICO 19.90 1 \n", - "\n", - " it_quantity it_is_brand_zone it_seller_rating it_location \\\n", - "0 997 0 50177 Warszawa \n", - "1 9288 0 12428 Warszawa \n", - "2 895 0 7389 Leszno \n", - "3 971 0 15006 Wola Krzysztoporska \n", - "4 950 0 32975 BIAŁYSTOK \n", - "\n", - " main_category \n", - "0 Komputery \n", - "1 Odzież, Obuwie, Dodatki \n", - "2 Dom i Ogród \n", - "3 Książki i Komiksy \n", - "4 Odzież, Obuwie, Dodatki " - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "means = data.groupby('it_location')['price'].mean()\n", - "data['it_location_encoded'] = data['it_location'].map(means)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " lp date item_id \\\n", - "0 0 2016-04-03 21:21:08 4753602474 \n", - "1 1 2016-04-03 15:35:26 4773181874 \n", - "2 2 2016-04-03 14:14:31 4781627074 \n", - "3 3 2016-04-03 19:55:44 4783971474 \n", - "4 4 2016-04-03 18:05:54 4787908274 \n", - "... ... ... ... \n", - "420015 420015 2016-04-03 20:27:13 6099625607 \n", - "420016 420016 2016-04-03 22:35:02 6099634607 \n", - "420017 420017 2016-04-03 22:38:57 6099780407 \n", - "420018 420018 2016-04-03 22:44:17 6099801007 \n", - "420019 420019 2016-04-03 23:08:23 6099873207 \n", - "\n", - " categories \\\n", - "0 ['Komputery', 'Dyski i napędy', 'Nośniki', 'No... \n", - "1 ['Odzież, Obuwie, Dodatki', 'Bielizna damska',... \n", - "2 ['Dom i Ogród', 'Budownictwo i Akcesoria', 'Śc... \n", - "3 ['Książki i Komiksy', 'Poradniki i albumy', 'Z... \n", - "4 ['Odzież, Obuwie, Dodatki', 'Ślub i wesele', '... \n", - "... ... \n", - "420015 ['RTV i AGD', 'Sprzęt audio dla domu', 'Odtwar... \n", - "420016 ['Uroda', 'Makijaż', 'Oczy', 'Tusze do rzęs'] \n", - "420017 ['Odzież, Obuwie, Dodatki', 'Przebrania, kosti... \n", - "420018 ['Dla Dzieci', 'Rowery i pojazdy', 'Rowery bie... \n", - "420019 ['Motoryzacja', 'Części samochodowe', 'Koła, f... \n", - "\n", - " pay_option_on_delivery pay_option_transfer seller price \\\n", - "0 1 1 radzioch666 59.99 \n", - "1 1 1 InwestycjeNET 4.90 \n", - "2 1 1 otostyl_com 109.90 \n", - "3 1 1 Matfel1 18.50 \n", - "4 1 1 PPHU_RICO 19.90 \n", - "... ... ... ... ... \n", - "420015 0 0 iwona7012 180.00 \n", - "420016 1 1 Dolce_Cosmetics 14.99 \n", - "420017 1 1 pewex4all 5.99 \n", - "420018 1 0 kostasia 200.00 \n", - "420019 0 0 Malami172 500.00 \n", - "\n", - " it_is_allegro_standard it_quantity it_is_brand_zone \\\n", - "0 1 997 0 \n", - "1 1 9288 0 \n", - "2 1 895 0 \n", - "3 0 971 0 \n", - "4 1 950 0 \n", - "... ... ... ... \n", - "420015 0 0 0 \n", - "420016 1 2 0 \n", - "420017 1 470 0 \n", - "420018 0 0 0 \n", - "420019 0 0 0 \n", - "\n", - " it_seller_rating it_location main_category \\\n", - "0 50177 Warszawa Komputery \n", - "1 12428 Warszawa Odzież, Obuwie, Dodatki \n", - "2 7389 Leszno Dom i Ogród \n", - "3 15006 Wola Krzysztoporska Książki i Komiksy \n", - "4 32975 BIAŁYSTOK Odzież, Obuwie, Dodatki \n", - "... ... ... ... \n", - "420015 176 Kraśnik RTV i AGD \n", - "420016 34851 Dzierżoniów Uroda \n", - "420017 983 Supraśl Odzież, Obuwie, Dodatki \n", - "420018 163 Poznań Dla Dzieci \n", - "420019 265 Pszów Motoryzacja \n", - "\n", - " it_location_encoded \n", - "0 85.423398 \n", - "1 85.423398 \n", - "2 61.990914 \n", - "3 35.433365 \n", - "4 117.191956 \n", - "... ... \n", - "420015 24.306929 \n", - "420016 66.785334 \n", - "420017 18.682800 \n", - "420018 106.203076 \n", - "420019 78.136792 \n", - "\n", - "[420020 rows x 15 columns]\n" - ] - } - ], - "source": [ - "print(data)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Przewagi target nad one_hot\n", - "\n", - "Prawdopodobnie największą przewagą target encoding nad one hot jest to, że target encoding znacząco zmniejsza pamięć potrzebną do zapisania (w szczególności sporej liczby) kategorii. Zasadniczo nie jet istotna liczba kategorii, gdyż i tak wynikiem będzie float. \n", - "\n", - "Kolejną przewagą jest to, że przy dostatecznie dużej liczby danych możemy uchwycić nietrywialne zależności między niezbyt dokładnie spreparowanymi danymi, tzn. zauważmy, że zmienna it_location nie ma ustalonej konwencji zapisowej - Mamy \"Warszawa\", \"Leszno\", ale także \"BIAŁYSTOK\" - tylko capsem. Gdyby zatem funkcjonowała także nazwa \"Białystok\", to one hot uznałby te nazwy jako inne, choć reprezentują ten sam obiekt. Target encoding z kolei, pod warunkiem dostatecznie wielu danych (dla obydwu nazw) ma szansę ujednolicić je. \n", - "\n", - "Powyżej wymieniona cecha jest jednak też czymś, co może zostać potratowane jako wadę - one hot wszystkie różniące się zmienne traktuje inaczej, podczas gdy target zlewa je do porównywalnych ze sobą liczb typu float - pozwalając na porównywanie nie do końca porównywalnych ze sobą nazw. \n", - "\n", - "Jeszcze jedną zaletą target jest to, że wykorzystuje ona dane z dwóch kolummn - jednej, do zakodowania, drugiej do zagregowania informacji względem zmiennej, którą kodujemy - tym samym uzyskujemy częściową informację z jednej z kolumn\n", - "\n", - "## Porównanie 3 metod" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "from numpy import array\n", - "import category_encoders as ce\n" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "OneHot Encoder: main_category_1 main_category_2 main_category_3 main_category_4 \\\n", - "0 1 0 0 0 \n", - "1 0 1 0 0 \n", - "2 0 0 1 0 \n", - "3 0 0 0 1 \n", - "4 0 1 0 0 \n", - "... ... ... ... ... \n", - "420015 0 0 0 0 \n", - "420016 0 0 0 0 \n", - "420017 0 1 0 0 \n", - "420018 0 0 0 0 \n", - "420019 0 0 0 0 \n", - "\n", - " main_category_5 main_category_6 main_category_7 main_category_8 \\\n", - "0 0 0 0 0 \n", - "1 0 0 0 0 \n", - "2 0 0 0 0 \n", - "3 0 0 0 0 \n", - "4 0 0 0 0 \n", - "... ... ... ... ... \n", - "420015 0 1 0 0 \n", - "420016 0 0 0 0 \n", - "420017 0 0 0 0 \n", - "420018 0 0 0 1 \n", - "420019 0 0 1 0 \n", - "\n", - " main_category_9 main_category_10 ... main_category_18 \\\n", - "0 0 0 ... 0 \n", - "1 0 0 ... 0 \n", - "2 0 0 ... 0 \n", - "3 0 0 ... 0 \n", - "4 0 0 ... 0 \n", - "... ... ... ... ... \n", - "420015 0 0 ... 0 \n", - "420016 1 0 ... 0 \n", - "420017 0 0 ... 0 \n", - "420018 0 0 ... 0 \n", - "420019 0 0 ... 0 \n", - "\n", - " main_category_19 main_category_20 main_category_21 \\\n", - "0 0 0 0 \n", - "1 0 0 0 \n", - "2 0 0 0 \n", - "3 0 0 0 \n", - "4 0 0 0 \n", - "... ... ... ... \n", - "420015 0 0 0 \n", - "420016 0 0 0 \n", - "420017 0 0 0 \n", - "420018 0 0 0 \n", - "420019 0 0 0 \n", - "\n", - " main_category_22 main_category_23 main_category_24 \\\n", - "0 0 0 0 \n", - "1 0 0 0 \n", - "2 0 0 0 \n", - "3 0 0 0 \n", - "4 0 0 0 \n", - "... ... ... ... \n", - "420015 0 0 0 \n", - "420016 0 0 0 \n", - "420017 0 0 0 \n", - "420018 0 0 0 \n", - "420019 0 0 0 \n", - "\n", - " main_category_25 main_category_26 main_category_27 \n", - "0 0 0 0 \n", - "1 0 0 0 \n", - "2 0 0 0 \n", - "3 0 0 0 \n", - "4 0 0 0 \n", - "... ... ... ... \n", - "420015 0 0 0 \n", - "420016 0 0 0 \n", - "420017 0 0 0 \n", - "420018 0 0 0 \n", - "420019 0 0 0 \n", - "\n", - "[420020 rows x 27 columns]\n", - "Binary Encoder: main_category_0 main_category_1 main_category_2 main_category_3 \\\n", - "0 0 0 0 0 \n", - "1 0 0 0 0 \n", - "2 0 0 0 0 \n", - "3 0 0 0 1 \n", - "4 0 0 0 0 \n", - "... ... ... ... ... \n", - "420015 0 0 0 1 \n", - "420016 0 0 1 0 \n", - "420017 0 0 0 0 \n", - "420018 0 0 1 0 \n", - "420019 0 0 0 1 \n", - "\n", - " main_category_4 main_category_5 \n", - "0 0 1 \n", - "1 1 0 \n", - "2 1 1 \n", - "3 0 0 \n", - "4 1 0 \n", - "... ... ... \n", - "420015 1 0 \n", - "420016 0 1 \n", - "420017 1 0 \n", - "420018 0 0 \n", - "420019 1 1 \n", - "\n", - "[420020 rows x 6 columns]\n", - "Count Encoder: main_category\n", - "0 14491\n", - "1 54257\n", - "2 91042\n", - "3 11572\n", - "4 54257\n", - "... ...\n", - "420015 20341\n", - "420016 28096\n", - "420017 54257\n", - "420018 42107\n", - "420019 45941\n", - "\n", - "[420020 rows x 1 columns]\n" - ] - } - ], - "source": [ - "values = array( data.main_category)\n", - "\n", - "# onehot encode\n", - "onehot_encoded = ce.OneHotEncoder().fit_transform(data.main_category)\n", - "print( \"OneHot Encoder:\", onehot_encoded)\n", - "# binary encode\n", - "binary_encoded = ce.BinaryEncoder().fit_transform(data.main_category)\n", - "print( \"Binary Encoder:\", binary_encoded)\n", - "# count encode\n", - "count_encoded = ce.count.CountEncoder().fit_transform(data.main_category)\n", - "print( \"Count Encoder:\", count_encoded)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Wyjaśnienie działania:\n", - "\n", - "Niech $n$ będzie liczbą nazw w danej kolumnie\n", - "* One-hot encoder zapisuje każdą nazwę jako wektor n-wymiarowy\n", - "* Binary encoder zapisuje każdą nazwę jako ciąg (krotkę) binarny długości $ \\approx \\lceil log_2(n )\\rceil$\n", - "* Count encoder zapisuje każdą nazwę jako liczbę powtórzeń tej nazwy w danej kolumnie\n", - "\n", - "Należy zaznaczyć, że o ile dwa pierwsze sposoby encodowania są różnowartościowe, o tyle trzeci już niekoniecznie - co może ograniczyć jego uzyteczność. Trzeci sposób moze być zarazem najefektywniejszy, jak i najmniej efektywny pamięciowo - dla małej liczby bardzo często powtarzającyh się kategorii niepotrzebnie będzie kodował kategorie poprzez duże liczby.\n", - "Drugi sposób kodowania jest efektywniejszy pamięciowo (gdyby krokta binarna była krotką binarną w pamięci) niż pierwszy. \n", - "\n", - "Zależnie od sytuacji pierwszy jak i trzeci sposób kodowania może dawać problematyczne rezultaty - pierwszy nie dba o liczbę powtórzeń, zaś drugi o liczbę kategorii. Gdyby zatem mieć 1000 kategorii, każda występująca 1 raz, to pierwszy sposób by zapisywał dane jako ciag długości 1000, z kolei trzeci wszystkie by zrzutował na 1.\n", - "\n", - "Powyższe uwagi mogłyby sugerować, że binary encode jest lepszy od pozostałych. Jednakże, ten sposób zakodowywania prowadzi do błędnego przypuszczenia, że taka sama wartość dwóch różnych nazw na $i$-tej pozycji w krotce oznacza pewne powiązanie tych nazw - tak oczywiscie nie musi być. (Count Encoder prowadzi do jeszcze większego problemu z konieczną porównywalnością zakodowanych kategorii)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2. Uzupełnianie braków\n", - "\n", - "Zacznijmy od zmniejszenia liczby rozważanych kolumn i doczytania paczek" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "metadata": {}, - "outputs": [], - "source": [ - "data_smaller = pd.DataFrame( data[[\"price\", \"it_seller_rating\", \"it_quantity\"]])" - ] - }, - { - "cell_type": "code", - "execution_count": 97, - "metadata": {}, - "outputs": [], - "source": [ - "from random import shuffle\n", - "import numpy as np\n", - "from sklearn.impute import KNNImputer\n" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn.metrics import mean_squared_error\n", - "\n", - "def random_remove_seller_rating_get_rmse( df):\n", - " \n", - " df_new = df.copy()\n", - " \n", - " values_new = array( df_new[\"it_seller_rating\"])\n", - "\n", - " leng = len( values_new)\n", - " leng_rang = np.arange( leng)\n", - "\n", - "\n", - "\n", - " shuffle( leng_rang)\n", - " count = int( leng* 0.1)\n", - " for i in range( count):\n", - " values_new[ leng_rang[ i]] = -1 # Możemy dać -1, bo ani it_seller, ani it_quantity nie przybierają tej wartości\n", - " \n", - " values_new = values_new.reshape(1, -1)\n", - " \n", - " imputer = KNNImputer(n_neighbors=4, weights=\"uniform\", missing_values=-1)\n", - " imputer.fit_transform( values_new )\n", - " \n", - " df_new[\"it_seller_rating\"] = values_new[0]\n", - " \n", - " return mean_squared_error( df, df_new, squared=False)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " price it_seller_rating it_quantity\n", - "0 59.99 50177 997\n", - "1 4.90 12428 9288\n", - "2 109.90 7389 895\n", - "3 18.50 15006 971\n", - "4 19.90 32975 950\n", - "... ... ... ...\n", - "420015 180.00 176 0\n", - "420016 14.99 34851 2\n", - "420017 5.99 983 470\n", - "420018 200.00 163 0\n", - "420019 500.00 265 0\n", - "\n", - "[420020 rows x 3 columns]\n" - ] - } - ], - "source": [ - "print( data_smaller)" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0\n", - "1\n", - "2\n", - "3\n", - "4\n", - "5\n", - "6\n", - "7\n", - "8\n", - "9\n" - ] - } - ], - "source": [ - "errors = list()\n", - "for i in range( 10):\n", - " errors.append( random_remove_seller_rating_get_rmse( data_smaller) )\n", - " print(i) # Może nieco zająć, więc patrzymy, kiedy dana iteracja się skończy" - ] - }, - { - "cell_type": "code", - "execution_count": 100, - "metadata": {}, - "outputs": [], - "source": [ - "import statistics\n", - "std = statistics.stdev(errors)" - ] - }, - { - "cell_type": "code", - "execution_count": 101, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "63.444572946079646\n" - ] - } - ], - "source": [ - "print(std)" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": {}, - "outputs": [], - "source": [ - "def random_remove_two_columns_get_rmse( df):\n", - " \n", - " df_new = df.copy()\n", - " \n", - " values_new = array( df_new [\"it_seller_rating\"])\n", - " values2_new = array( df_new [\"it_quantity\"])\n", - " \n", - " \n", - " # change in it_seller\n", - " \n", - " leng = len( values_new)\n", - " leng_rang = np.arange( leng)\n", - "\n", - " shuffle( leng_rang)\n", - " count = int( leng* 0.1)\n", - " for i in range( count):\n", - " values_new[ leng_rang[ i]] = -1 # Możemy dać -1, bo ani it_seller, ani it_quantity nie przybierają tej wartości\n", - " \n", - " values_new = values_new.reshape(1, -1)\n", - " \n", - " imputer = KNNImputer(n_neighbors=4, weights=\"uniform\", missing_values=-1)\n", - " imputer.fit_transform( values_new )\n", - " \n", - " df_new[\"it_seller_rating\"] = values_new[0]\n", - " \n", - " # change in it_quantity\n", - " \n", - " leng = len( values2_new)\n", - " leng_rang = np.arange( leng)\n", - "\n", - " shuffle( leng_rang)\n", - " count = int( leng* 0.1)\n", - " for i in range( count):\n", - " values2_new[ leng_rang[ i]] = -1 # Możemy dać -1, bo ani it_seller, ani it_quantity nie przybierają tej wartości\n", - " \n", - " values2_new = values2_new.reshape(1, -1)\n", - " \n", - " imputer = KNNImputer(n_neighbors=4, weights=\"uniform\", missing_values=-1)\n", - " imputer.fit_transform( values2_new )\n", - " \n", - " df_new[\"it_quantity\"] = values2_new[0]\n", - " \n", - " \n", - " return mean_squared_error( df, df_new, squared=False)" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0\n", - "1\n", - "2\n", - "3\n", - "4\n", - "5\n", - "6\n", - "7\n", - "8\n", - "9\n" - ] - } - ], - "source": [ - "errors2 = list()\n", - "for i in range( 10):\n", - " errors2.append( random_remove_two_columns_get_rmse( data_smaller) )\n", - " print(i) # Może nieco zająć, więc patrzymy, kiedy dana iteracja się skończy" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "std dla jednej kolumny: 63.444572946079646\n", - "błędy dla jednej kolumny: [7638.373829227394, 7562.741683760912, 7688.771474542412, 7537.950660277675, 7742.097780304491, 7638.127326858296, 7653.744816601474, 7725.269679247705, 7635.936085015791, 7647.295282074816]\n", - "\n", - "std dla dwóch kolumn: 50.57526433343624\n", - "błędy dla dwóch kolumn: [8813.932596485596, 8793.4535905665, 8922.302913582296, 8838.410181447824, 8906.116284693506, 8838.528734754467, 8901.595926056509, 8930.713668560207, 8918.613928313114, 8839.298444313119]\n" - ] - } - ], - "source": [ - "std2 = statistics.stdev(errors2)\n", - "print(\"std dla jednej kolumny: \", std)\n", - "print(\"błędy dla jednej kolumny: \", errors)\n", - "print()\n", - "print(\"std dla dwóch kolumn: \", std2)\n", - "print(\"błędy dla dwóch kolumn: \", errors2)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### WNIOSKI:\n", - "\n", - "Zdaje się, że choć błędy są większe dla procesu zmieniania dwóch kolumn, to odchylenie standardowe uzyskiwanych błędów jest mniejsze niż gdyby zmieniało się tylko jedną kolumnę. " - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": {}, - "outputs": [], - "source": [ - "import seaborn as sns\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "metadata": {}, - "outputs": [], - "source": [ - "error_df1 = pd.DataFrame( errors, columns = [\"errors\"])\n", - "error_df1[\"no_of_changed_cols\"] = 1\n", - "error_df2 = pd.DataFrame( errors2, columns = [\"errors\"])\n", - "error_df2[\"no_of_changed_cols\"] = 2\n", - "\n", - "error_df = pd.concat( [error_df1, error_df2])\n", - "error_df = error_df.reset_index()" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 91, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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zu^~)G{SVSne2oop6#85?OtPr0fQ?h?!iMf0Asxj}*}&UTJ40kZ86RwLQ`CO!p*s=< z?F{LL`;eQ9rM=@W7ZENOJ{hq0gexWC#hL2RRjM#UkQ>>Xot)g{V5T4XZRp*xrHk9p TTQ-ahuXhNM1q-zF*NFTZwNL!# From 45812877e963badf601bc2582ee117874672b494 Mon Sep 17 00:00:00 2001 From: Korigami <43794510+Korigami@users.noreply.github.com> Date: Tue, 30 Mar 2021 14:15:38 +0200 Subject: [PATCH 07/10] Create .gitkeep --- Projekty/Projekt1/Slowakiewicz_Kurowski/.gitkeep | 1 + 1 file changed, 1 insertion(+) create mode 100644 Projekty/Projekt1/Slowakiewicz_Kurowski/.gitkeep diff --git a/Projekty/Projekt1/Slowakiewicz_Kurowski/.gitkeep b/Projekty/Projekt1/Slowakiewicz_Kurowski/.gitkeep new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/Projekty/Projekt1/Slowakiewicz_Kurowski/.gitkeep @@ -0,0 +1 @@ + From 848b61743aa2b3baae9184c59edfb02fa74d80ac Mon Sep 17 00:00:00 2001 From: Korigami <43794510+Korigami@users.noreply.github.com> Date: Tue, 30 Mar 2021 14:16:32 +0200 Subject: [PATCH 08/10] =?UTF-8?q?[Grupa=203]=20Projekt=201=20-=20S=C5=82ow?= =?UTF-8?q?akiewicz=5FKurowski=20(2=20checkpoint)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit (2 checkpoint) --- .../Slowakiewicz_Kurowski/WUM_P2.ipynb | 350 ++++++++ .../Projekt1/Slowakiewicz_Kurowski/WUM_P2.pdf | Bin 0 -> 108140 bytes .../WUM_inzynieria_cech.ipynb | 760 ++++++++++++++++++ .../WUM_inzynieria_cech.pdf | Bin 0 -> 38027 bytes 4 files changed, 1110 insertions(+) create mode 100644 Projekty/Projekt1/Slowakiewicz_Kurowski/WUM_P2.ipynb create mode 100644 Projekty/Projekt1/Slowakiewicz_Kurowski/WUM_P2.pdf create mode 100644 Projekty/Projekt1/Slowakiewicz_Kurowski/WUM_inzynieria_cech.ipynb create mode 100644 Projekty/Projekt1/Slowakiewicz_Kurowski/WUM_inzynieria_cech.pdf diff --git a/Projekty/Projekt1/Slowakiewicz_Kurowski/WUM_P2.ipynb b/Projekty/Projekt1/Slowakiewicz_Kurowski/WUM_P2.ipynb new file mode 100644 index 000000000..61fea827a --- /dev/null +++ b/Projekty/Projekt1/Slowakiewicz_Kurowski/WUM_P2.ipynb @@ -0,0 +1,350 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 77, + "id": "suburban-minister", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import warnings" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "double-witch", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "df = pd.read_csv('congressional_voting_dataset.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "corporate-tablet", + "metadata": {}, + "outputs": [], + "source": [ + "change_dict = {\"y\": 1, \"n\": -1, \"?\": 0, \"republican\": 0, \"democrat\": 1 }\n", + "df.replace(change_dict, inplace=True)" + ] + }, + { + "cell_type": "markdown", + "id": "willing-auditor", + "metadata": {}, + "source": [ + "## Wybór column i wierszy" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "handmade-vertical", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(435, 17)\n", + "(429, 17)\n" + ] + } + ], + "source": [ + "df_count = np.apply_along_axis(sum, 1, abs(df))\n", + "indexes = df[df_count < 11].index\n", + "indexes = np.array(indexes)\n", + "print(df.shape)\n", + "df.drop(indexes, axis=0, inplace=True)\n", + "print(df.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "clinical-halloween", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['handicapped_infants', 'water_project_cost_sharing',\n", + " 'adoption_of_the_budget_resolution', 'physician_fee_freeze',\n", + " 'el_salvador_aid', 'religious_groups_in_schools',\n", + " 'anti_satellite_test_ban', 'aid_to_nicaraguan_contras', 'mx_missile',\n", + " 'immigration', 'synfuels_corporation_cutback', 'education_spending',\n", + " 'superfund_right_to_sue', 'crime', 'duty_free_exports',\n", + " 'export_administration_act_south_africa', 'political_party'],\n", + " dtype='object')" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "married-romania", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(429, 14)\n" + ] + } + ], + "source": [ + "col_ls = ['water_project_cost_sharing', 'immigration', 'export_administration_act_south_africa', ]\n", + "df.drop(col_ls, axis=1, inplace=True, errors='ignore')\n", + "print(df.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "naughty-hollow", + "metadata": {}, + "source": [ + "## Modelowanie" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "id": "confused-council", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split\n", + "from sklearn.tree import DecisionTreeClassifier,plot_tree\n", + "from sklearn.model_selection import cross_val_score\n", + "from sklearn.naive_bayes import GaussianNB" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "known-theme", + "metadata": {}, + "outputs": [], + "source": [ + "X = df.drop('political_party', axis=1)\n", + "y = df['political_party']" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "chubby-australian", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(300, 13) (90, 13) (39, 13)\n" + ] + } + ], + "source": [ + "X_train, X_val, y_train, y_val = train_test_split(\n", + " X, y, stratify=y, test_size=0.3, random_state=42\n", + ")\n", + "X_val, X_test, y_val, y_test = train_test_split(\n", + " X_val, y_val, stratify=y_val, test_size=0.3, random_state=42\n", + ")\n", + "print(X_train.shape, X_val.shape, X_test.shape)" + ] + }, + { + "cell_type": "markdown", + "id": "leading-tactics", + "metadata": {}, + "source": [ + "### Tree" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "id": "selective-middle", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9487179487179487" + ] + }, + "execution_count": 146, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tree = DecisionTreeClassifier(min_samples_leaf=5, max_depth=3)\n", + "tree.fit(X_train, y_train)\n", + "tree.score(X_test, y_test)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "ethical-developer", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(20,20))\n", + "plot_tree(tree)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "id": "alternate-ecuador", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.97058824, 0.94117647, 0.94117647, 0.97058824, 0.95522388])" + ] + }, + "execution_count": 149, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "X_tt = pd.concat((X_train, X_test))\n", + "y_tt = np.concatenate((y_train, y_test), axis=0)\n", + "cross_val_score(tree, X_tt, y_tt)" + ] + }, + { + "cell_type": "code", + "execution_count": 150, + "id": "female-category", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9777777777777777" + ] + }, + "execution_count": 150, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tree.score(X_val, y_val)" + ] + }, + { + "cell_type": "markdown", + "id": "advisory-discount", + "metadata": {}, + "source": [ + "### Bayes" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "id": "frank-designer", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9230769230769231" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nb = GaussianNB()\n", + "nb.fit(X_train, y_train)\n", + "nb.score(X_test, y_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "id": "filled-albuquerque", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.94117647, 0.97058824, 0.92647059, 0.92647059, 0.94029851])" + ] + }, + "execution_count": 155, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cross_val_score(nb, X_tt, y_tt)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + 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+ "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "from sklearn.datasets import load_boston\n", + "from sklearn.linear_model import LinearRegression, Lasso\n", + "from sklearn.metrics import mean_squared_error\n", + "from sklearn.compose import ColumnTransformer\n", + "from sklearn.preprocessing import FunctionTransformer\n", + "from sklearn.pipeline import Pipeline\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "from matplotlib import pyplot as plt\n", + "import seaborn as sns\n", + "from scipy import stats\n", + "import matplotlib.image as mpimg" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(pd.read_json(\"https://api.apispreadsheets.com/api/dataset/congressional-voting/\",\n", + " orient = 'split'))" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "df_encoded = pd.DataFrame( df)" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "change_dict = {\"y\": 1, \"n\": -1, \"?\": 0, \"republican\": 0, \"democrat\": 1}\n", + "df_encoded.replace(change_dict, inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Następnie wyłuskamy tych głosujących, którzy mieli najmniej głosów, niezależnie od tego, czy na tak, czy na nie." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [], + "source": [ + "df_encoded['votes_given'] = df_encoded.drop([\"political_party\"], axis=1)[:].apply(lambda x: np.sum(np.abs(x)), axis = 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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handicapped_infantswater_project_cost_sharingadoption_of_the_budget_resolutionphysician_fee_freezeel_salvador_aidreligious_groups_in_schoolsanti_satellite_test_banaid_to_nicaraguan_contrasmx_missileimmigrationsynfuels_corporation_cutbackeducation_spendingsuperfund_right_to_suecrimeduty_free_exportsexport_administration_act_south_africapolitical_party
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1-11-1111-1-1-1-1-1111-100
2011011-1-1-1-11-111-1-11
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" + ], + "text/plain": [ + " handicapped_infants water_project_cost_sharing \\\n", + "0 -1 1 \n", + "1 -1 1 \n", + "2 0 1 \n", + "3 -1 1 \n", + "4 1 1 \n", + "\n", + " adoption_of_the_budget_resolution physician_fee_freeze el_salvador_aid \\\n", + "0 -1 1 1 \n", + "1 -1 1 1 \n", + "2 1 0 1 \n", + "3 1 -1 0 \n", + "4 1 -1 1 \n", + "\n", + " religious_groups_in_schools anti_satellite_test_ban \\\n", + "0 1 -1 \n", + "1 1 -1 \n", + "2 1 -1 \n", + "3 1 -1 \n", + "4 1 -1 \n", + "\n", + " aid_to_nicaraguan_contras mx_missile immigration \\\n", + "0 -1 -1 1 \n", + "1 -1 -1 -1 \n", + "2 -1 -1 -1 \n", + "3 -1 -1 -1 \n", + "4 -1 -1 -1 \n", + "\n", + " synfuels_corporation_cutback education_spending superfund_right_to_sue \\\n", + "0 0 1 1 \n", + "1 -1 1 1 \n", + "2 1 -1 1 \n", + "3 1 -1 1 \n", + "4 1 0 1 \n", + "\n", + " crime duty_free_exports export_administration_act_south_africa \\\n", + "0 1 -1 1 \n", + "1 1 -1 0 \n", + "2 1 -1 -1 \n", + "3 -1 -1 1 \n", + "4 1 1 1 \n", + "\n", + " political_party \n", + "0 0 \n", + "1 0 \n", + "2 1 \n", + "3 1 \n", + "4 1 " + ] + }, + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_removed.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "del df_removed[\"no_of_votes\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "df_selected = pd.DataFrame( df_removed)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [], + "source": [ + "y = np.array(df_selected['political_party'])\n", + "X = df_selected.drop(['political_party'],axis=1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Na tak zmienionym zbiorze danych przetrenujmy trzy proste modele" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split\n", + "\n", + "X_train, X_val, y_train, y_val = train_test_split(\n", + " X, y, stratify=y, test_size=0.3, random_state=42\n", + ")\n", + "X_val, X_test, y_val, y_test = train_test_split(\n", + " X_val, y_val, stratify=y_val, test_size=0.3, random_state=42\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.dummy import DummyClassifier\n", + "from sklearn.metrics import accuracy_score" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "proba: [0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5]\n", + "y: [0 1 0 0 0 1 0 0 0 1]\n", + "y_hat: [0 1 1 1 1 0 1 0 0 1]\n" + ] + } + ], + "source": [ + "dc = DummyClassifier(strategy='uniform', random_state=42)\n", + "dc.fit(X_train,y_train)\n", + "y_proba = dc.predict_proba(X_val)\n", + "y_hat = dc.predict(X_val)\n", + "print(\"proba: \" + str(y_proba[0:10,0]) + '\\ny: ' + str(y_hat[0:10]) + '\\ny_hat: ' + str(y_val[0:10]))" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.42857142857142855" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "accuracy_score(y_val, y_hat)" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "y: [0 1 1 1 1 0 1 0 0 1]\n", + "y_hat: [0 1 1 1 1 0 1 0 0 1]\n" + ] + } + ], + "source": [ + "from sklearn.linear_model import LogisticRegression\n", + "lr = LogisticRegression(max_iter=1000)\n", + "\n", + "lr.fit(X_train,y_train)\n", + "y_hat_lr = lr.predict(X_val)\n", + "print('y: ' + str(y_hat_lr[0:10]) + '\\ny_hat: ' + str(y_val[0:10]))" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9560439560439561" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "accuracy_score(y_val, y_hat_lr)" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "y: [0 1 1 1 1 0 1 0 0 1]\n", + "y_hat: [0 1 1 1 1 0 1 0 0 1]\n" + ] + } + ], + "source": [ + "from sklearn.svm import SVC\n", + "svm = SVC()\n", + "\n", + "svm.fit(X_train,y_train)\n", + "y_hat_svm = svm.predict(X_val)\n", + "print('y: ' + str(y_hat_svm[0:10]) + '\\ny_hat: ' + str(y_val[0:10]))" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.945054945054945" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "accuracy_score(y_val, y_hat_svm)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Jak widzimy, największe accuracy uzyskaliśmy dla regresji logistycznej, niedaleko potem jest svm, zaś najgorszy jest dummy classifier." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Projekty/Projekt1/Slowakiewicz_Kurowski/WUM_inzynieria_cech.pdf b/Projekty/Projekt1/Slowakiewicz_Kurowski/WUM_inzynieria_cech.pdf new file mode 100644 index 0000000000000000000000000000000000000000..5f7d711d599913712c4e7df8b089fc080598b0b3 GIT binary patch literal 38027 zcma&NV~}RuvNhUO)x|E`wr$(CZ9Zk&wr$(CZQHi1?|Z&`Bfhia?0aHIthHkPT#+Ml 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Kurowski.ipynb --- ...pa 3] Praca Domowa 1 Kacper Kurowski.ipynb | 52587 ---------------- 1 file changed, 52587 deletions(-) delete mode 100644 Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.ipynb diff --git a/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.ipynb b/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.ipynb deleted file mode 100644 index c8ce41e6f..000000000 --- a/Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper/[Grupa 3] Praca Domowa 1 Kacper Kurowski.ipynb +++ /dev/null @@ -1,52587 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Wstęp do Uczenia Maszynowego PD1 (Eksploracja danych)\n", - "## Kacper Kurowski\n", - "\n", - "Zacznijmy od wczytania paczek i pobrania danych" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "from sklearn.datasets import load_boston\n", - "from sklearn.linear_model import LinearRegression, Lasso\n", - "from sklearn.metrics import mean_squared_error\n", - "from sklearn.compose import ColumnTransformer\n", - "from sklearn.preprocessing import FunctionTransformer\n", - "from sklearn.pipeline import Pipeline\n", - "from sklearn.model_selection import train_test_split\n", - "\n", - "from matplotlib import pyplot as plt\n", - "import seaborn as sns\n", - "from scipy import stats" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "data = pd.DataFrame(pd.read_json( 'https://api.apispreadsheets.com/api/dataset/forest-fires/',\n", - " orient = 'split'))\n", - "\n", - "order_by_day = [\"mon\",\"tue\",\"wed\",\"thu\",\"fri\",\"sat\",\"sun\"]\n", - "order_by_month = [\"jan\", \"feb\", \"mar\", \"apr\", \"may\", \"aug\", \"jun\",\"jul\", \"sep\", \"oct\", \"nov\", \"dec\"]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Wyświetlmy wpierw histogramy zmiennych" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "data.hist(figsize=(18, 12), bins=30)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "no, nie wszystkich, bo jeszcze mamy inne, np. day czy month:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['X', 'Y', 'month', 'day', 'FFMC', 'DMC', 'DC', 'ISI', 'temp', 'RH',\n", - " 'wind', 'rain', 'area'],\n", - " dtype='object')" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data.columns" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Możemy również sprawdzić, czy histogramy wyglądają inaczej, gdy pożar rzeczywiście miał miejscce, tzn. gdy zmienna area>0:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "data_tmp = pd.DataFrame(data)\n", - "data_tmp[\"exclude_not_fire\"] = \"all data\"\n", - "data_tmp2 = pd.DataFrame(data[data[\"area\"] > 0])\n", - "data_tmp2[\"exclude_not_fire\"] = \"not fires excluded\"\n", - "\n", - "merged = pd.concat([data_tmp, data_tmp2])\n", - "\n", - "columns_to_compare = [\"DC\", \"DMC\", \"FFMC\", \"ISI\", \"RH\", \"X\", \"Y\", \"area\", \"rain\", \"temp\", \"wind\"]\n", - "\n", - "f = plt.figure( figsize=(18, 12))\n", - "f.suptitle(\"Porównanie histogramów kolumn \\ndla pełnych danych i danych bez pożarów\", fontsize = 30)\n", - "for i in range(1, 12):\n", - " ax = plt.subplot(3, 4, i)\n", - " g = sns.histplot( data = merged, ax = ax,\n", - " x = columns_to_compare[i-1],\n", - " hue = \"exclude_not_fire\",\n", - " bins = 30,\n", - " palette = [\"magenta\", \"yellow\"],\n", - " hue_order = [\"not fires excluded\",\"all data\"],\n", - " alpha=1\n", - " ) \n", - " #g.legend_.remove()\n", - " plt.legend([\"all data\", \"area > 0\"], loc = \"best\")\n", - " ax.set_ylabel('') \n", - " # Usuwanie \"outlierów\" w celu poprawienia widoczności histogramu\n", - " if columns_to_compare[i-1] == \"FFMC\":\n", - " plt.xlim(60, 100)\n", - " if columns_to_compare[i-1] == \"ISI\":\n", - " plt.xlim(0, 30)\n", - " \n", - " \n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Zmiana ta wpływa na zmienną temp, która przesunęła się nieco w prawo - można stąd przypuszczać, że pomiary area=0 częściej odbywały się, gdy temperatura była stosunkowo niska, więc ich brak, gdy temp startowała jako zmienna z rozkładem prawie normalnym, stała sie skośna.\n", - "\n", - "Brak zauważalnych zmian w zmiennych X i Y sugeruje, że pomiary odbywają się regularnie w odpowiednich regionach - niezależnie, czy pożar był, czy nie." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.catplot( data = data, y = \"Y\", x = \"month\", order = order_by_month)\n", - "plt.title(\"Scatter pomiarów w podziale na rejon Y i miesiące\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "możemy jednak zauważyć, że o ile pomiar może niekoniecznie zależy od wystąpienia pożaru, to jednak nie wszędzie pomiary były wykonywane w każdym miesiącu. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Możemy następnie sprawdzić, czy dni wpływają na uzyskiwane dane dotyczące pożarów." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.catplot( data = data, y = \"area\", x = \"day\", order = order_by_day)\n", - "plt.title(\"Wielkość pożaru w podziale na dni (z pomiarami bez pożaru)\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Możemy zauważyć, że najgorsze pożary zostały zarejestrowane w czwartek i sobotę. Możemy również stwierdzić, że w czwartki i piątki (oprócz jednego silnego cczwartkowego pożaru), rejestrowano nie za wiele pożarów." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.catplot( data = data[data[\"area\"] > 0], y = \"area\", x = \"day\", order = order_by_day)\n", - "plt.title(\"Wielkość pożaru w podziale na dni (bez pomiarów bez pożaru)\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Możemy zauważyć, że usunięcie zerowych pomiarów nie wpływa znacząco na wykres, sugerując, że każdego dnia było również wiele bardzo niewielkich (ze względu na area) pomiarów." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Miesiące\n", - "Przejdźmy następnie do analizowania pożarów względem miesiąca" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.catplot( data = data, y = \"area\", x = \"month\", order = order_by_month)\n", - "plt.title(\"Wielkość pożaru w podziale na miesiące (z pomiarami bez pożaru)\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Nietrudno zauważyć, że w miesiącach zimowych pożary praktycznie nie były rejestrowane, natomiast szczególnie w letnich, były już znacznie częstsze" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.catplot( data = data[data[\"area\"] > 0], y = \"area\", x = \"month\", order = order_by_month)\n", - "plt.title(\"Wielkość pożaru w podziale na dni (bez pomiarów bez pożaru)\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Usunięcie zerowych pomiarów przede wszystkim skutkuje usunięciem pomiarów ze stycznia i listopada - nie zmienia jednak znacząco uzyskiwanych wykresów." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Temperatura\n", - "\n", - "Zbadamy teraz zależności pomiędzy zmienną temperatury a innymi danymi." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.pairplot(data, y_vars=\"temp\", x_vars=data.columns.values[:5])\n", - "sns.pairplot(data, y_vars=\"temp\", x_vars=data.columns.values[5:10])\n", - "sns.pairplot(data, y_vars=\"temp\", x_vars=data.columns.values[10:])\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Ciężko jest zauważyć jakieś w pełni widoczne zależności. Sprawdźmy jak usunięcie zerowych pomiarów zmienia wyniki. " - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.pairplot(data[data[\"area\"] > 0], y_vars=\"temp\", x_vars=data.columns.values[:5])\n", - "sns.pairplot(data[data[\"area\"] > 0], y_vars=\"temp\", x_vars=data.columns.values[5:10])\n", - "sns.pairplot(data[data[\"area\"] > 0], y_vars=\"temp\", x_vars=data.columns.values[10:])\n", - "plt.plot()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To, co możemy zauważyć to to, że zmniejszyły się możliwe wartości zmiennej ISI, a zwiększyły się wartości zmiennej FFMC.\n", - "Być może zmienne te są w pewien sposób powiązane. W tym celu porównajmy ich wartości (wpierw dla całego zbioru danych)." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.scatter(\n", - " x=data[[\"ISI\"]], y=data[[\"FFMC\"]])\n", - "plt.xlabel(\"ISI\")\n", - "plt.ylabel(\"FFMC\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Zmienna ta zdaje się mieć związek ze zmienną FFMC typu $\\text{FFMC} \\propto 100-\\dfrac{1}{\\text{ISI}}$. Sprawdźmy, czy rzeczywiście taki jest. Należy jednak zaznaczyć, ze zmienna ISI może mieć wartości zerowe, więc dokładnie tej postaci zależność mieć nie może." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "x = np.array((100-1/data[[\"ISI\"]]).values).reshape(1,517)\n", - "y = data[[\"FFMC\"]].values.reshape(1,517)\n", - "\n", - "plt.scatter(x=x[0], y=y[0])\n", - "plt.title(\"Porównanie zmiennych ISI i FFMC dla wszystkich obserwacji\")\n", - "plt.xlabel(\"ISI\")\n", - "plt.ylabel(\"FFMC\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Przewidywana zależność mniej wiecej zachodzi - jednakże, oprócz podanego przekształcenia konieczne jest również afiniczne przekształcenie osi (przeskalowanie i przesunięcie). Spróbujmy następnie zbadać zmienną DMC. Przypomnijmy, że po usunięciu poimarów $\\text{area} = 0$ zależność miałaby być bardziej widoczna - sprawdźmy, czy rzeczywiście tak jest.\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "x = np.array((100-1/data[data[\"area\"] > 0][[\"ISI\"]]).values).reshape(1,270)\n", - "y = data[data[\"area\"] > 0][[\"FFMC\"]].values.reshape(1,270)\n", - "\n", - "plt.scatter(x=x[0], y=y[0])\n", - "\n", - "plt.title(\"Porównanie zmiennych ISI i FFMC dla obserwacji tylko z pożarami\")\n", - "plt.xlabel(\"ISI\")\n", - "plt.ylabel(\"FFMC\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Wówczas przede wszystkim widoczne jest koncentrowanie sie pomiarów w prawym górnym rogu z pewną, nieco liniową zależnością.\n", - "### DMC\n", - "Zbadajmy następnie zależność zmiennych od zmiennej DMC" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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SU0cgEAgjTEWjlTNqAO+AsnF/FR5eNBXAxM4NETr39XsrUdFoBUByZQgEMUJ9NoQ8ES8euojT9ZaQFRGrzBbOoGOPsXFfFbrsnkmpMEkIH6evWTiDDvD2tUstNs6gYz8bKUXPyTzGEKOOQCAQRpgma6/gSqHd6Y6IfIjhIHbuTdZeAGOfQE8gjFdCfTbEPBE0g5Al480W4WPYnO6wy84TJheNAv2VZhC2kgeTeYwh4ZcEAoEwAtA0gyttNjRZHUg0KAXlnNNiNDhQtjAi8iGGiti5x+kUqGnpRkasNiLzQwiEcBNq7pSYXLyEAtRyKY5eah0wR8kUpRY8hlYhmxQeDcLoYRLor1Iq9ML2/LF14PEiUnMQRwLiqSMQCIRhwua43LrtCO597TieO3gWm5bn81YKNy3Px6wpURO+IGpBkiHg3Dcsy8MvDpzFrduO4GBVIwBM6gKxBIIYoUjIC3ki1pXkICdBh7L3TuDe145zz5qYlHueyYDNKwOfU71aOik8GoTRo2BKFDat4Pe1rHgtHluSO6A3zX9sHahfs0zWIuTEU0cgEAjDpKalm5fjUl5rAVCLt783F03W3gAFyImMWi3HsvwkZMRp0NzVCzDA9sOXcLrBm1PHqpClGTWoMltgtjhgilIjz2SATEbWGQmEgWA9EdMfWYi6dhs0Chm0Sil+8KevUNtmBzCw4p9MJsHKomTkxOvQYLEjSa+CTEbB1uvNqQvVszFYLwphYhHK/VcopFhZOAVZcVpuuwSDAs3WXuwonRdU/VJMyXL6IwsxNWFii54MBWLUEQgEwjCw2h1osznxy9sLEaOV481PL+OTC60or7WAZhgsK5oy1k0cddRqOeZmxuLopVbc+9pxAMBN0+Lw4IJMdNhcaOnuxTWLDQ+/9RWvdt/KomRi2BEIISCRUJiaoOMmtkcvtXIGHQubo5QSpcbpaxZOTr5gShQUCilkMgmK0owooKMF63rNNOlhtghP1tmSCmfNVlxs7sLO8np09DgDFAzZSX+brV++3hSlgof25v8RQ3D4+BpWWqUMLjcNi8OF9BgtMuNCv7aDNdDF6sHdMiMRdR09vOMoFFIUZ8Tw9k+LCW6UOZ0etHb1BoytDheNs43WQZ3bZIEYdQQCgTBEuu0OHKxs4cn3b1yeBwA4erl90uemsLk/8zNjsKTAhP9450ufMgd5uDUvEX89aeZq9+Uk6FCUahzrZhMIEYdYnt2UaFWAnPymFflYWTgFCoUUgLg3pHRRFrYdqg6QmxeazJctzsE7x2p53kF2uy0Hz+Lu4jRs+/gijBoFHpifjhcPXZx0haHDgVh5i7eP1goa2YM5zkD7CvWbLQfPwuWh8diu08O6v0JlEHzH1gtNXZhpMkz4EgWDhSyJEggEwhBwOj0402gLkO/fsLcKDy3IxOaV+ZM+N4XN/XloQSY27K3yK3NQhVXXp3HbOlw0zBYHyq+0Y//pa/jySjucTs9YNZ1AiCjEFP+arc4AOfn1eypx+pqF2zeYmib7f1Zu3u2m8VVdR8BkftvHF3H7nBQ4XDRq22w4eqkVFQ0WbDl4FksLk7HtY68Rd/ucFM6g8z82YfCIlbdg78WjO0/ixNUOVDd14eilVtS0dAvmo4kZ9sHui1C/WVqYzBl0oR5HCKEyCOzYWrY4B38urycqrQIQTx2BQCAMEnYVUe23Mg54Bx+L3Y3cJP2kX3lmc3/+XmEWvE5t3b3c7yq5BHqVDPe/cVzUo0AgEIQRU/w7UCn87DVZ+yfEYl4+huHvY7U7sbuuA3XtPYLHpPoUDU9c7eQ8fGWLc+CmGW57ihKXsidel8EjZpBTVP//L7faeEXmhTxnQynYLdRvpJKRub9CZRC8Y6sL7xzzeiEneySMEMRTRyAQCIOkurULSQZlkCKnSuQmGsaodeMLiYTiyhz44i1zoOT+v2lFPn794fkAj0J1axe+uNyGfaeu4YvLbXA43KN+DgRCJCCk+GcSeUclGlSgaQY1Ld1os/Viyx2FAWqaf/2qnrePmwae3F0JmoHgMbUKKdaVeL0oQL8Hb3qSHmUl2Vi7OBvTE/VIj1UH7KuWSwdUNJzMsPfK39smNgZpFVL84KZslJVkQyWXwqhRAACMGgXONVrxzwvNIR0nmOEk5B2+Pj1mRAp/i/Vbg1rOhZVO9kgYIYinjkAgEAaBw+FGZUMX1u+txK15idi0PA/r+0IL2dIFM0xaIvjhw8wkLTYtz+flHm5ano84nQyv3j8HSVEqdPQ4+1RD+5mfGcNda9/9lheYoFKR4YtAGAhWTt4/py4/ycDLoUqPVWP76mLIpRQS9CpcbutGR48TQH8oZ2t3LxwuGru+rMePvjkNv/7oAi+PKy1Gg1f/dQlmS78X0KhRoN3mxPbDNdy2G5bl4Xf/qkZtm53z5pW9dwKPLZlBcusECJbvxhpWvn974t9yYXfReOPT/mtetjgHByvNWJJv4kJhfY+TZtRg88p8nkdv88p8pBk1ou0S8g6nGTUB7RmKASbYb5fnI0Yjn/C1XocDGRUJBAJhEJxtsqK+swcPL8zy/n6tE28+eD1au51INCgxM0kLnZqEhfiiU6twa348MuL6Szyw1yknMRoA8OWV9oBQnocWZKK0T1wFYHPxKpEZp8H1mbG873A6PYIKfwTCZEZITr5wShTqLXZeDlVtmx2l75TjQJ/ISWacFgf8QjkrGiyc9yQtRoONy/OgUchQ39HDCXOULsriypcAwJ3FKdi4j59Pu3FfFf645gYcvtgCDw28c6wWZosDj+48idiH5iJerwxJeTFSSykMtu1i+W7JfeUAZpr0+Psj3nulVUjhcNF44M3PA3Ien1tVhJ/95VTAcXLLFgIAXvr4ItYsyAJFAQzj/X1OmlEwbNL/HOZmxHLnMBKFv8X6LXmnB4cYdQQCgRAiTqcH1S023qpz2eIcPLrzFJ64NRezkqPJoCOCTq3C3ExxY1doZdZid4nkA/XyPhNSSiP5eASCFyE5+YFyqNhQTt8JfZ7JgOdXFaK+w44f+SlfsvtPS9RzizMquQTTEvSC39Pa3Ytth6oDPj9S3YrXj9QEVUwcilLjeGEobRe7V4fONQuqk35W3Sq4vb3XLXrPGcZr2L/yCf+eCOXCDXQOQn1nKAj1W0JwSHwQgUAghABNMzjV0Imn/BS5tn18EXcWpyDJoCIGRIgI5YewK7N/XHMDXrlvNv645gaYosTygZS8z4SU0vwV/ggEQj9DyaGSySSYkWQIUK9klS9Vcu/fD5QtxHulN+BA2ULMMBkEv0fs2Z6eqIdRowiqmDgUpcbxwlDaLnavPH32mf8xkkSubWa8VvSeD6Y/RPL1n+gQo45AIBAGgF2ZrGm1Ca50To3XocAUNUatiyzYa3nrtiO497XjuHXbERysauQMu+KMGHy7cAqKM2KQnxSFTcvzeYn4m5bnB1xrMaU0X4U/AoHQj1gJhIFyn1r68up8cbhoSCXA1rtmITNOyxNryYwT/p48U1TA52WLc/DCB+ewel46jBqFqGR9MC/jeGcobWfz3Xyv1YaleThyoVnwGGL3dk6qUfSeD6Y/RPL1n+iQ8EsCgUAYgKsdNuiUUmgVUkHp71Sjmgh3BMHhcKPCbEFjXz7d7hN1gnkd/uE6KpUMywtMyIzTcLl4BaaogGttEpFkTzSQ3EYCQQgxkYuBcr3Eyh+U5CagIDma294352p6oh4H1y1Eo9WBJIMKHhr4orYd0xP1+Mv35+Oz6lYkRWtwpdWGZUXJ2FFehzuLU0S9hmJtiASJ+6G0va6jJyDfbddXdXh40VRcaOoCAOw71YAEvYq77vF6BXaUzoPTQ0MhlaDH6UFdRw9umZEYkCs52Fy4UM8hkvMeIxUyCyEQCIQgOBxuHK/pwPq9lTBqFFhXksOFH3FKcsRLJ4rD4cbeCjNPwXLj8jy43MAnF1q92wSpY6RSyQJEUfwRU/grnELuC4Eghm/uU6i5XkJqi1vvmhVg0Akd65YZifjgbBPv82dvK4BSJuUEPFiPXXaiTtRrKNaGSJC4H0rbm6wOXr6bKUqF1fPSedds88p8pESpAxRNH1mcI1ijTuhdG2ouXCjnEMl5j5EMMeoIBAIhCP5ql+9XmFG6KAszTQbEahUoIuIoQakwW/DKP/tXmQHgN/+sxqYV+ZxRN9xVdqKURhgPjGfPxEBtE8uT8vegixU59zXoKho6BY+1o3RewOdP/K0CpYuyAnL0dvz7PNFrN1AbxjNDabu/Z+z2OSlcWQLAe82e3F2JnAQd7/ouLUzmDDp2O7GoCCD0/hvKOYTan0aCgdo9np/LkSZsRh1FUakA3gaQBIAGsJ1hmBcpiooBsANABoArAO5iGKajb5/HAawB4AFQxjDMP8LVvkikqbERGdPyxP/e3DSKrSEQJj5iapfvHKvFE7fm4rr0mAk7OIwU7T0u3F2cxquNVLY4B3anB0DouTwDQZTSCGPJePZMhNK2gdQwfRHz6LDfc67RKngss0X4O/xrjjtcNHpcnqDnNFIKi2PBYNvu7xmTShDS9aUo4e2Gomg52HMYTH8aDgO1ezw/l+EgnJ46N4AfMwzzFUVRegBfUhT1IYAHARxiGOaXFEX9HMDPATxGUdRMAPcAyAMwBcBHFEVNYxgm+JM9ifAwDOb95HXRv//1x98exdYQCBOf09csgmqXpYuykGRQTchBYaQxauQBq8rbPr6It783F++V3hBRq+wEghij6ZkIR9tGIk+N/Z6HF2YJHotVvPT/3P/RJ/mwfPw9Y2q5jFtoZAl2fUO5pyPdf0cr73Ggdo/n5zIchE39kmEYM8MwX/X9vwvAWQDJAFYAeKtvs7cArOz7/woA7zEM08swzGUA1QDmhqt9BAKBIAYruW+2OPDwwiyYovoHIqJ2OTjae5yCK7YdPU5OIW8oBp1QWQQCYawI5pkY674ailrhUNUwhb5n15f1KFucE5Li5da7ZqEwJWpY3zsZYD1j87LiUJAsfB39r+++Uw0BqpmjpWg5Ev0pFAZqd7iUOsf6mRZjVHLqKIrKADAbwHEAiQzDmAGv4UdRVELfZskAjvnsVt/3mf+xSgGUAkBaWlr4Gk0gDBHSRyMbp9ODv1ea8fjfKgJCLs0WB1RyCdJjIlvtcjT6qNtNo8psQZRKLrhiG6tVBtk7OJMtpGYyEmnvUTHPRJJBNeJ9dbA5QqF4TSQSCrfMSMSO0nkwWxwwRamRZzIMqo3s95gtDrxzrBZrFmRBKgFPGVMoFwuAqCLjeGas+miwnDYhRdM5acag15amGWgUshH1rA0n73Ew/Xugvh0Oj+F4Hn/CXqeOoigdgF0AfsgwjDXYpgKfBZi+DMNsZximmGGY4vj4+JFqJoEwYpA+Grk4HG58Vd+By202zkPnX1x304p8zEyKbC9duPuo201j96kG3L39GP78RR1++505KCvJxtrF2UiPVQ9bmZIUv534RNp7VMwz4aExon01WJ3HUNuWHqvG9tXFaLI6OC8DTTP44GwT7t5+DN//41e4e/tRfHC2aVAeCN/vMVsceOPTGuQmGZBnisKVNhuOXmrFlTYbMmK1PC+9rxdqqJ77sWAs+6jYNfP/XCaTICNWiwS9Ck1WB6602Xj3lO1PZe99JehdHcizFsxjNZT7Otj+PZBHMBwew/E8/oR1qZmiKDm8Bt3/Mgzz176PmyiKMvV56UwA2OqJ9QBSfXZPAXAtnO0jEAgEFrebxr5KM5dD5++hm5Gkxx/X3EBUFUOgymzBk7srMS1Bh+sz4/Cf//sVd02fWVmAW2cmDusajlYSPoEQKmKeieOX20a0rw4lR8i3be22XjR0OlD6TjnPyzDTpB927pGYp8i/jMF48WpMBgbyKvn2JzHv6lCPPRQG278H8giGQyl1PI8/YfPUURRFAXgDwFmGYbb6/GkvgO/2/f+7APb4fH4PRVFKiqIyAeQA+Dxc7SMQCARfqszCoiish27mFAOKM2KIQRcCrArbw4umYuP+Kt41/X+7K3ChtXtYx2dDanyJlOLDhImLkGdipPvqUHOE2LbFaJV4bNfpgElzk7V3RHKP/K9BXUfPuPVqTAYG8ir59iezxYFXPqnGtkPVsLs8Axo+4fBYDaV/D+QRHGlP8BrdXncAACAASURBVHgef8IZfvk1AKsBLKYo6mTfz60AfgngZoqiLgK4ue93MAxTBWAngDMADgL4AVG+JBAmD2OdeCwmty2VAL+4rYAk7g8CU5QaKrkE9l634DVttIgP0KH0g9FKwicQhotQX91yRyHabL1Des8Nd0IpNmnucbrDMlENl1AFITQGuv7D6U/huLfj2WBiERt/JBTGXDglbOGXDMN8CuE8OQAoEdnnGQDPhKtNBAJhfDJWicd2uwsVjVY0WXuRaFAKJlTfODUWeSYdymvbue3yk/TQqBVha1ekk2cy9KmuSYXFI6KEB2ixfvD17BhUNXbzrn+kFh8mTC58w7+arA64PAye2lOB2jb7kN5z/jXLBrOgISaIkR6rhlGjwHOrCnGpuRunr3bijutSwQDocrjhdtOQycR9ADTNoK7dhuauXljsLhhUciQalEiL0QYVkKlp6Q5LQWh/oY00owZ1HT0RW3yaphlcbrWhtt0GrULGXVuhc/A/9wR9cKEQsf6UZtQMeH9GUoTEt91/ePB6nLjaCZvTAykF3JBlRJfdhYOVZk7ARyaTjFlRcf+QznidCpfburHkxSNjHmIcufJtBAJhwnC1w5u8vXFZHjRKGV47fCnstWTsdhf2VTZi/V5vyGV6rBqbludzv6vkEjy9Ih8zTTq8X9nC+3zT8nwszU8khp0IMpkEK4uSUddhDbimm5bnIztOw23LqmSaLQ7E65T4/aeXeOE8F80d6Ha4Ba9/pBYfJkwu2PAvALh125ERz1sLZTLLLphsOXgWZYtzuNqR6bFqPLI4B/e8dszn+crD8x+c4wzPp1fkIztBiyi1IuC7aJrBx+ebUNNiw9YPL3DHWFeSg5xEHb6RkxBgNLx832ycrrfgZ31hoCM5CfZfGGLP78ndlWM+4R4KQgtd60pykBajQd4UA8+4E9r21dVzsHllPu/8N6/MR5rR+w4eSh4ka0xZ7E48vSKfl4fue+yhnKNRo8AD89Px4iFv/yxOj0KyUYP1e77kfcfygin46HzzmOVq+hZfr2npxto/nRgXtfCIUUcgEMYUt5vG8csdWO8zMGxYmod3P68Na+JxVaOVMxQAoLbNjlf+6S2K3WFzIilKhTxTFL662sHbzuGisX5vJTLiNJibGRuWtk0EZDIJWrs9eOWfF7FmQRYoCmAY4JV/XkRWnAYxOhcaLQ70uj34731V3ARyw9I8ON21ON3gFUuel52I7775Obn+hIhnpAQWfCeUoSImiLEoJx73v3Hc7/mqwpoFWXjlk2o4XDSe2lOJ51YV4d7XjuPl+2YjM1aH5i6vd0RCAafrLbxi2A4XjRcPXUTpoixkxekCvBpmqz1sk2D/PK+lhcmcQTPS3zUaCOWtsdf2fFMXcpMMgqIn7LZf1nZiz8kG3jv4pY8vYk6aEVnxOkFvVzCxkoxYLWeArVmQhf2nxY89lHO8fU4KZ9ABwAM3ZuFnfznFa8uTuyuREasdN0XFx5NwCjHqCATCmFJltnAGHeB9GW7cX4UXVhWFLY6ephk0COTQ1bbZ0WTtxbKiKQC8BqeYgECTtRf7Tl1DkkGJAlNURNetCxdN1l6vsfxJNe/zBosD9//+c0GV0Y37q/DcqiKUvXsCANDcJTxgNll7eV4+37AcAmE8Eo6aWaEiJIgBADNNBsHni6L4v9udbhg1Clxs6vdKpMeq8d/L85EWo8HDC7Ow68t6mPvyZR0uGjQD1PoYDHMzYnG51YbPL7eHbRLsP8GmKIybCfdQEDMY2JQtX0NGaFvvPQh8B1c3d6PH6caFpm480VeTNT1WjadXFMDhcgveTzZXjjWmKEr42Oy1DTU80rfd/vdLNC97AENqNEMzx/K59ofMQggEwpgiJlDCAGETvrjSZkNNS7fgizjR4C2KzdZaS4vRCG+nV+Ku7ce4cMDlBSZi2Pkhlqd4qaWbZ8Rv+/gizzPgcLq5bcUGzESDErtPNQSEFa0sSiaGHWFcMpx8uOEi9hyxokb+nzM+Og8quQRqhYznRTFFqXB3cRr+84/9YXG+izMquQQSCjhxtRPbDlVz58owDGgGYZsEi53neJhwDwWxnDgJBXhoviEjdO5SSvj83TSDD840cR5W9n76lrrwv59srbtQru1g8uT92+37f41SuCi6KYghNdo5+mP5XPtDRj4CgTAmsCqHMVqFoNpVmlEdtpW1JqsDO8vrA4qtPr0iHwVJBgD9tdY+vdCETcvzeNttWp4PiYTGS/fOxrQEHdbvrUSF2RKWtkYyBUkGbFqeH3CN/1xez9vO1zOgkkuQGafFK/fNxrZ7ZkOvkghe/3idNCCs6sndlagi94EwTmHzlw6ULcR7pTfgQNnCUcsBElPsm5Gox3N3FPI+37g8D/tPN3C/b1iah9cPX+J5UW6fk8Ll5QGBJWDWleQgTqvgnnU2PI4BsO9UQ8C7d8sdhSMyCc6I1WKLz/nsO9WADUvzAs47UpRypRLg0Zun8dq/riQH6bEa/PWrekHRE99tC1KiAj57aulMbDl4FjQT+v1kr5mvOuWuLwPHUHa7UModsHOANlsvd892fVmPdSX9x3zrsxpsWsEfQzavzEfBlMDzGsx3jyRj+Vz7Q5aVCQTCqOO7kjYtQYcNy/KwcV8Vz+OSNyUqbN+faFCho8fJ5ZZQFCChgDmp0VCr5QD6PYjbPrmMspsy8dZDc715JHoVbC4n/nmhHftONeD7i7Lx7ue1aLL28r7DX1mzIMnAHXsykRGnwfOripBoUCJKLYWMkqKjx8nbhvUMqOQSbFqRjy0Hz6K81gKVXIL1S2eC9rjw9kNz0dR3/fNNehy+JFzUudHiQFHqaJ4hgRA6Q8mHGwpCiom3zEjEAQFBjF99eB5rb8pGWowa8XoVbL1uPLOyAD1ODzRKKf7nw/M43WDFTbkJnHdELKxxpkmPtx6aC5mEwtp3TyBep8Djt86AvdcNjVKGHqcLdxenYUd5HZfXNzvNiIVT40ZkEiyRUJgSreLleb37ufc9X5hsQE6iPqLUL80WB978vytYe1M24nVKaJQy1Hf0oKWrFx09Tp6BKiaiAwC5ZQtxoakLFQ1WdDlcqG2zw6iWQyWXYFqCDnMzjUgz9guVnW6wwuGiUZhswIG+XDqJhOJ5pcwWB3aU12H76mLIpRQX5ggALV29eHhhFgBwYZz+4ZH+gjbbVxdDrZBAKZVgeqIeWpUMiXolphjUmJ6oQ6PFweW6y2QSQYGXK202XGjqwiOLsyGhKNicHq4N4Qy5Ha3neiCIUUcgEEYd35W00w1W4HgtXlhVBIkESI5Wcy/tkUJI4podmF75pD80KNMnFp/1ILKG3bZPLkMll+CFVUVY++4JLjzld4er8dNbcrmwTSBQWZP1Li3LT5o0hp3YNfhajhHP3lbA5XGo5BL84rYCRGtkuGn6Dfjl+2dQXuv1tjlcNF49fAlPryjAscvt8NA0kqPV0KgVomFjYuUSCITJgphiYk6iDounJ3ITz5qWbm6b/z1eh9Xz0vGzXRW8fd6vMOMbuQm45/p0dDlc3AIcIBx6N8Nk4BQBk6OVuGNOGid0wSprxmpluOf6NG7CnRmrGfT7PljOVKxWiTc+reG17UJzNw5EiDiKL+wC5AsfXOA+U8kleOuhuTi4biE8NHD8chvvGggZF+zvP9xxEg8vzEJ6rBozpujxwp2F6HJ48B/v9IfRbliaB3xeiwvN3chJ1POONZD6qlDfY8M4O3qcnFfR35tW22bHU3sq8OjN0/GYnypqWowWRanGgMU633MV6/O7vqxHR48T60pykGSY+GMDCb8kEAijjn9c/ukGK9a+ewIxWgWKUo0jbtAdrGrErduO4N7XjuPWbUfwwdkmbtXaN1wCALft5v1nsGEZP2xnw7I8bD98CUB/eMrSwmQwYFBg6vcsVvgpazpcXsXGikbriJ3XeEfsGtS39+L5f5zHo9/Mwdvfux6/uW8OClOi8fVpiXB5aM6gA8DL89j64QW8ergGNa3e8hf9tfD4YTl5pvB5eAmESEBMMfF0vYUXgub7HhYKv3vx0EUsnJaAbYeq8eSeSnTYXYjVKrBmQRZ0SimeWjqT9/w9e1sB56nJiNXix7fkYuP+Kr93QBVM0RrE6ZTQKaQoTIlCWszgQiGF3ukHqxq5gs9ioaaREnLpi9i5XJdmxBlzF779kvA1YGFDHI9eagXDAC/fNxvHLrXg+4uy8b0/lEMCiouSAfqFykoXTRW9ZqwxNS8rDlnxOp7XU6jvbfv4Iu4sTuEdT0jUZWlhMmfQsfuGGjYp1udvn5PC/d9DD3CQCUBQTx1FUfcDoBiGecfv838HYGMY5k/hbNxEYf6im2BubA66TVNz0yi1hkAYe0ZTLaqu3YZzjVZeKMijO09yq7a+q5C+K9f+HsQ4rRKb/36Gk9oHvAOHVAKkGjWcSApNM0EVMycLYteAVVBz00Cpz+rw1rtmYaZJz+sXQhPNJ3dXcpLZywumICNWi0arA0kGFQqnjKyHl0CINFgPlphiom8Imu97WCycks11dbhozE6NRlqMFmXvneDENdgQymkJeuQnG7gJvkRCwWJ3iYZI/2xXBffcD5ZgkvuskTGUWn7jEbFzGegaAMJes613zcJ/L8/Hqt8dhcNFo8shrC4pkUA0LyyYl1RMrXN2ajS+Pi2B205Q1EUydKVSse/17b8t3Q5MTYgsT+1gGWj0+zGA3QKfv9f3N0IImBubMe8nrwf98UyGJQQCoY/RWkmlaQZf1XVi++EavPxxNV4/UoPV89Jh1Cg444LF7aZ5qoxAvwdRJpHA4fbgQnM3bx+VXILZqdHI98n/u9JmQ4JeKSj+4huiOdFhlS99UckliNerBI21R3eexNUOO9588HoUp3uvZ7BBnqYZfHS+Gfe/cRxr/3QC979xHB+dbw5YqSYQJgvsJP7U1U7BZ09CgbdwJvQe9t+HVcFUySVIi9EiM65/H7PFgTc+rYFaLuUmz77PHxsi7X9MlcK7AMY+919caUdNSze3r693yfdzlmB1wdj9WaMjkg069jocv9wGCQXE67zqkxUNFlxq7g56DQBx47ejp9/YZtUlfVHJJUiOFhYqG8hL6iuk4nu8dL97INT3rk+PEdw3lMVese/17b+Rong6HAYy6qQMw3T5f9j32eRIDCEQCCPOaKlFXWmzcblbAD8UxPcFz5YvqGywCA4MldcseGxXBU+Vi80F+1pWHM871GR14GBFg6BiI6usORkQUr7ctDwP/6hoEPUKHL/cjof+8AXuuj4dm1fMRE6CXnSQH22FMwJhvMM+EzvL6/GjbwYqJhamRPEWznzfw9+YFsdTjWT3YRUW15Xk4HKbd1FrSV4S/v7IQrz5YDG2r74OUgrY/PezWPIif4IvFCLNKmmyOFw0jlS3csaB200HNRoA8Qm8r5x9sP0jAd/zeHTnKbxf2ciFWpa99xUkEmpAA0jM+L3Waef2fe3wpQB10GBh7AO9d0NdsBWaA8zPih3yYq/Q9/r230gNvx0sAwmlyCmK0jIMwxslKYrSA1CEr1kEAmGiMxpqUWKD2rQ+BTSWqmve8gVGjQJli3M4L5JK7pXgnxqvBWgP3j5ai9JFWcifEoXsBJ3gCnCiQYV3yxtwbzHwh4fmoqUvZCY5RjlpRFIAQK2WY1l+EjLiNJwCqEzKYP3eKjy8MEsw/Jbpk9hev6cSb39vLi40WvH0inw8tadfbOXZ2wqQqJPj9LWuIYfqEAgTEfZ9Z7Y48IfP+hUTpxjVSIlWg6L6RTXSjBrUd/agydoLm9ONdKMG8Xol3vhuMRo67IjTKeGmGfywJIdTRHzxUL/YSGacFt29Lhw618wVwvYPAZTJJFhZlIyceB3qOuyIUsuw7dAFXgi773P/6M6T2FE6b8CwwmB1wUIJSxxvCAl5VZktXNqASibh6gMC3tyzTfurAsaqLXcUQkIBRy+1ItGgEq1x19LVy+17usEKxVdeBcsmqwNquRQFKQbBMPZgob3se1cioXDLjETsKJ0Hs8UBU5QaeSbvYmZNSzearA6YolTw0N5QYLYoPTuODjVs1j9MNV6n6lNWjY5ob+1gGcioewPAXyiK+k+GYa4AAEVRGQBe6fsbgUCYpASLqx8viOXuzUgy8NS66jrs3GTIt8zBnNRo/L/dlejocWLT8jzcOceEbYeq8dK9s0UnCL4TjjePXuUmHNdnxIzKOY8XaJqBubsXHppB3hQDZ0QfKFuIdlsvchJ0PJUzViEN6JskWHthdXiw49PLXN5ObpIBv//0EtweBrNSo0YtL5NACBcj+R71fd+ZLQ688MEFqOQS/P2RhTjb2MWTj//JLdNR32HnjAWVXIJHb56GN//vChQyCv/1jWxs2FvFez5bjtWiucuBjFitqMKh2eLgLazIZBIUpRlRkBKNE3UduG1OKir7FmSEnntW+t4X/8WaYDlzYgt5TdbxudgjlPe2eWU+Xvr4Imrb7NzCou85UZRXLdJ3rGIYQK2QYsmLR7jjvHzf7AClYd/rvWZBFtJi1Khrt+OxXadhtnhDN98rvQHpsTrBdp5vtAZ979I0gw/ONvHO5+X7ZsPpZvDozpMwahR4YH46r9/5FgYfzmKv0L4ZccGPEwnzmMEQ1KhjGOYFiqK6AfyLoij2ynQD+CXDML8Ne+sIBMK4RCwBeyiJ1eFEbEU3M85rYDidHpxq6ARFgTcZYsscPLeqiBvo1u+twlsPzcX2T2sFc+N67E5UNnahydqL5GgV9v7gRrT3uCbVKiGLf/+4ZWYcvrcgGy1dXo+dm/YgI0aDfWsX4EqbDRUNFm5CCPRNEgxK/KRPCv2VT6q5z9csyML6vZX408M3iK7WEwiRgNh79JvTE3C2ycrzdAQTAGJr0l2z9ARM4rfeNctbwLrvO0xRKvz4llz0ON1wuDwwahScIbX1wwtYs8ArKMUadEB/2HrpoixIQOFoTaugwuGaBVl449MaxOtUnFfG931v1Cqw/fAlzpho6LQHPPexPqVkWIQWa8Qm/xqFTHB/jUI6jDsVPoQ8i0/ursSaBVl45ZNqOFw06jt6BM+JHavY30sXZfGOs/ZPJ/CX789H6aIsJEcHXu83Pq1B6aIs7hjscRJ0SpRfaUej1QGTQYWCKVGot9g5o8zfQ+j73hU6n9P1Fmw/7C0xcfucFJ7XMVRPqttNo8psCfmZCIXBzmMigQHr1DEM8zsAv+sz6iihHDsCgTC5GEyIy1i+OIOt6PbYnfj4YivAAPUddrxy3xxs2l/FrY5uXB6Y+9Hc5RDMjeuyO/B+ZUtATbal+YnQqCdfpLpv/7hpWhxKZpjw4Jufc9dm4/I8HDp7Gd+cOQW35sXD7vLgzuIU0AwgpYCpCTpcaLSKqpk5XDQaOh34doFpQijcEcYvoS5IDWXhSuw9+tvvzMF//u9XPM/NyqJk0ZC49ysb8eM/93vh/ufuWfAwDHITDciM0+L45TbOoFs9L51XN87Xw+avFuiLw0UjK06Hn+46hWVFyYJ/l0qArXfNwuW2bqz90wkYNQrcWZyCaQl6zDAZkB6jwWNLZvA8Nh09TgDg2rLl4FlsWJrHlUJgxws2rFCjkMHp8SBWqxS8xk6PJ8DoKFucA9c4FaMbSLURAHaW1+OppTPx9P4zcLho7DvVEHCNnr2tAM//43zAcbocbqTFaPDSxxdxd3Ea73o/evM0KKUSzmBMj1XjmZUFqLhmRU1LN3aWe2u8bVqRj4xYjWA0y8LsOFyfERNU/ZJm+vuTWD51sLB5Nuf9yd2VIT0TvO8O8lwONlQ3Erx6A5U0eFTgM+7/DMNsDUObCATCOCeY+pj/y3CscxyEVnQtdgcuNtlgsbu4gZINc1HIKEgpCTp7egNyPxINKhQkGXi5cU6nB1XmbsGabBlxGszNjA37OY43fPvHgwsyucK2gPfabNhbhVdXX4f1eyqRFaeB001zK7kquQQ//dZ0uDy0aN4dqyQ6GnmZhMlLqAtSwbYDMGj59xNXOwM8NzkJOhSlGrnvY4+pVUg5gw7whuX9cMdJ/Oxb05ESrcbxy22c90pIdZb1sLHRCQwDXuQCi9czZEdtm5373f/vJbkJiFLLseTFIzBqFFg9Lz3Ao8PWB23u8pYh+drUWHx0rhkeGpxx2dJdjedWFaG6uQvzs2Lh9Hh4YYVli3Owo7wOjy2ZEXAvYrVK7Civ44Ul7iivw5L8pJHpFCOMWIoA46Pr0tHjRLxOibU3ZYNmgIw4Law9vfjjmhvg8tBINKggocAZbL7H0SikeKmvnqpEAjy3qggutwe17T148/+uAADW3pSNtBg1XDTw8NvlAQb/+j2VeOd7cwWjWW6fncy7/oKlCvz6k9D5quVSLhfQ31iqMls4gw4QfiaEGOj5Hcw8xvdY/osVmXHjx7gbyFP3AoCTAN4H0AtgfLSaQCCMKYOpMzeYF+do0G134B9VLVBIwBl0bJue2lOJ0kVZyI7XwaDuDwNiPW/5SfoAsZMzjVY0k7p0PNj+YdQowDDg1QhkPQJ2pwd3F6fh8MVWzqADvNft+X+cx9qbsgVX3HeU13H3gsVud6Gi0coJsvgb3gTCUAh1QUpsu+mPLMT5pi7RSaXYe9TfqeRweWu7FaUGTlS33FEg+O5JMKhQ9t4JLC1MRpRKimduK0Bbl4MzdgDv8wgAuUl6lJVkY6bJgN98Ug2Lw4XNK/N5npGnls7Eyx9Xc/uxz6bvBFenlKOlu5cLsxMqW/LWQ3MRr1dy4hhHL7Vi26FqXvudbgYUvB6eNpsT1zp6BA1RoXuREavlvIGREJYtlCKwYVkefvev/rDKp5bOxIa9VVzYJMtrq6/D1AQdJz6y9a5Z2HLwLJYWJkMtl+C6dCM6enqxrCiZe/cCwFPfnoE/l9fj9jkpUMokmBqvw5U2W0BY5LaPL+L5VUV49sBZtHT3BrRzyx2FaLP1cuchkVCC51OQEsV9tuvLejzxb7lotTm5yIzsBB3K3jvBRcn4L5yI5VmyzwSLvydNQiHo8zuYeQz7jIstVoyXkM2BjLo5AO4B8G0AXwJ4F8AhhmEiSxtWhFCKgpuSEnD08Cej1CICITIIpj7mz2gWGg+F8009uGDuQEFKrOBAkRylxq8+PI9t9xbh7e/N5QyF/CQ9NGoFL7Y/KUqNpi4HojVywXOcTHXpfEkzavDmg9ejptWG7/+xv8A4u/Lb0eOEQS3Hto8v4uGFWYL3weGmsevLek4kZcHUOHTYnXj+jiLMMGm5sFa73YV9lY0Boa/L8pPAgOHyHH3vIWFyMtjwqVAXpMS2q2sPbhQKvUd/cVsh/ucQP4xOJZcgKcr7vvQ3IH1zyExR3hqQUgkQq5Xjvrnp+PVHF2DUKPDjm7MRp1dh60f9+XaPL8lFr4fGT33CMZ+9rQBz0qKREq3BnDQjmru8iojHa9o4TxAbgvfoN3MQo1PyjL8tdxQiPVYtGmZ3pLoVrx+p4bx2bg/De3eaolR4YH46XvjgHO68LhW2XjemJRnw38tm4NXDl3lhokL3ItIKj/u3lwKFZ/5+BksLk0FRwPREPcydPQFeuPRYNfRqGb640g6dUoauXjei1FL8sGQaHvcTRtl3qgGr56VzntDC1KgAsZJf3C68OHCxuQsPzE9HvF6J2SlGHChbiCarAy4Pg6f2VPAMsVtmJKKuowfxegV2lM5Dj9PDPWcAkNsnknWt04Fn3z/HffejN0+D081w3+lvrLP1Dv3HV/aZAIS9cs/eVsDljPqeE9tnBjOPYZ9xscWKUCOPwh3COZBQykl4PXU/pyjqRgD3AniJoqjHGIbZO2KtGCPYouDBOPbCw6PUGgIhchjMwDmYF2e46bE70dLdi5vzkvHZpVbBgaKuwxtidPern+NA2UJe+KRQbP+GZXm4YG7BxuV5PLU4f29SMCIhVj9UWPWz+nYbup0enpeOFVtIidags8cZNBxHQoErbly2OAfrdpyE2eKASi7B9tXXIUrtQJ7JgIpGq2Do6/QkHc43dvONvRX5mBqngVEkH4cwcRlKbm+oC1Ji22kUMlGjkJXfN2rk2FE6Hy6PBzFaJVKi1PAwdED+EFs3zN+AbOjswbqSHLz3RR3uLk7zmXBmY/vhGs6zoJLLOeEhth1tPc4AL/kTf6vAH9fcgHONXUgxqhGrVeJqew9mpUfz3nEdPU5kJ+jxX3/6irf/Y7tOY/vqYnxZ2y4aVshOhHeUzsOTeyp4Hvk7i1Pw3hd1nEHKXoN1JTn4/qIs/O5wDRQyCtMSvd5FtVwGmmZ493C8hGX7i3tEa2S41hn4jvdtb01LNywOF3eMhs4eJEersa4kBy8e8npGH7oxHUatEg+++QXv+iQYlNgm4G1bsyCL87pVN3fB6abx3hd1PK9tU9+7Vchr/OKhi/j9d4tR19HDXdNbtx0JMGy2ry5G6TvlvOfrhsz+cgXsvve/8TlvX1aghxVs8TfW2XqHYs8EIOwtf+JvFShdlMXzBPs+v4OZx7DP+FByAllGQ19gQKEUAKAoKh7AbAAFAOoBBHdvTSCaGhuRMS1P9O/Ek0eYrIQ6cIZ75TRUg8jtplHRaEW7zQmXh8bO8nrBmnRbP7wAQPhFLRTbv3FfFbbeWYQ/l1/Fq6uvQ2ePC4kGFfJ8vEkDtX8iKXBdabNhy8GzKF00FVs/8l7b9Fg1nl6Zj+qmbuQnGyChGDhc3hV631Au9vx/dWcR8qYYkJOgx7nGLp5im8NF4/MrHXj9SA02r8yHUiYVHGRtTk+gsbenEs+tKsJ33vg8oq8xYfAMJbc31AUpse0SDUphD4NBJfjMz0nzlj2ZlRKNl+6dDbVcimiNHLmJ/Up//gbkW5/V4j+/noWf3pLLM9poBjBqFHj81hmobu4Cg8DJqK+ABYvDRePwxRb8ubye580pK8nGnpMNvFy1M2ZhMSOZhMK8rFgkGFS8nGWh8gW+0vx6lQzpMRp4CsEZdOy2kg7E/AAAIABJREFULx7yLgg9MD8d0WoFJ/ay/XDNuHyWxRYA3z1eC4vDhadXFEAu9YbgpkSpObXT5GhvuYmf/uU0F9qqVkgxJz0aL987G+02J+o77dj6UaXg9VlamMxTs/T1al5uteHVwzWYaTLwFgBYr+2GZXnYuK8q4H45XDSuWRzcmC/mmS6vbR/w+QpFGMZ/4YSrd5igQ6PFgaQoFfJMUTyRlGA1aX3TKPyf31DnMewzPlBJh2CMhr7AQEIpDwG4G4AKwF8A3MUwzKQx6ADAwzBBvXnEk0cgDEy4Vk4HYxBVXbPA5vBg0/4zeOuhuejocfJUvCQUkBmn5cvq+72oxWL7XTSDc03d+O7vv4BKLsG7D98AvTq08NK6dhtomsHGZXlckV82H2dqQuQJgDRZHVhamMxN5kxRKtxdnIa1f+pX81tXkoP3K8zc6vM7x7xF3afG6zA9SQe3h8G5xi4kGpR467MaXviM72r/k7u9RcqFBtl2m1PwXtmdbm4wje3L7yFeu4nPUHJ7Q12QEtsOgKCx56GFc31mrluIM+bAHLyZfR4JmmbAMMALq4pwrbMHTg8Dp4fG1AQdaJrhnZ9OKcUD8/uVLteVZA8oYAH0e2f8pedpxivC4mswrF0ceEyVXAKXx+std7oZrFmQhYxYDa529ASWLdErUVaSzRUvf+uzK/ju/HRIJcLGJs0AU+O9+VfhnBiPBGILgC/eMxuXmrs5j1Z6rBo/uCkH6/f0G3/rl87E/MwYXJ8Zyxle6bFqPHtbAda/WyUask4zgNRPDNJXXCojTgujRgG1QgqH2xtFweba/eLgObx4z2w8v6oIF5u7eMI1KrkEGrmU84oOJhe0vS/njl10TdAJL3Ro+0pOiC2cyGQSFKUaeTl0vgSrSXtgBBaU2Wd8pkmP9FhtQNmQUCKPRkNfIJTi4xUA6gB8C8AtfuqXy0ekFQQCgTAEQl35cjjcuNLeA4XM+9I/WNGATcvzsH5vFafitWl5Hv7vQiMAcLkh/i9qsdh+KUXh9jkpeOPTGmxawQ8LCYbN3ovPr3TwBvQNS/Pw7ue1qGu3RaRRl2hQ8SZlP/vWNDz+t8BV5TULsvD2Ua8xN9NkwBmzFQa1FBX1Vjzlcz1++53ZkEmlaOt2IkYrR6etF7842O9NVUoZbFqeH5BTlyTiJVErZNy+vvk9422lnzCyDDW3dzARCULb+Rp7SQYVPDRwsbmLN6EG2DIddtH3mW/Bb7YcwMt9dczYXLxbZsYhJzEaFAWkx2jxI59j7Syv5xZR2H2mxmvxy9sL8PO/9k9QN6/MR0+vBylGNf7ql4/kn7tnUErx9Ip83vNatjgH6/dW4s7rUvHCBxfwyifVeGzJdKjlUp6c/rqSHPS4PDzV23UlOYjRyJEbZRANyY5SywUnxrVtNsEJ+1iFtostAMolFC8na2lhMvf+Z7fZtP8Mtq8uxlN7KrBmQRaUMglmJOl5xxS7PoUp0TzPFCsu9dTSmYjTyvDjW6ah9J3+POfHl+Siq9cNh5uG20PjtcOXsLRoCrZ+2B/6+tNvTcfv/nUJ38hNwNX2HuRNMQQsVvzP3bNwudWGtYuzAXjD7RUyCg2dDi7cUiWX4M0Hrw/oh+tKcjA/KxZ/+f48xGiVSDNqAu4ZIK4iCwSvScs+m8NFIqGQEadDWowWs1KjB20ojoa+wEBG3U0j9k0EAoEwwoSy8kXTDE6bLXC53dArvS/VN49exUPzgT88NBctfS/mD6saUJgWh7KSbBSnx+DGrNiAF3V6nErAgMjDx2cb8fXcRLz9vbmYlRwNRQiFbu12F042WAMG9I37q/DCqiJoFCFFx487MmK1KE43QiWX4N7iZEgoieA9ovpy5rYdqsbL9832/nvvbG6CCADzM2PQ3OXk5SpuXJ6H3EQdt4Lc66ZwY46RJ2pTkGQAg0Bjb8PS/tqD/vk9422lnzCyjFVuLzuh9DXK/MPb2L5c32EXNVg8NMPtK1TA+fG/ncZvvjMHG/d5a22WlWTzjmW2OPD20Vo8v6oI55u6wDDA20ev4MGvZaF0URZkEglyEnT45cGznPjFupIcvH3U275dX9YL5u6lx6rx67tmweZ043JrvzcuQd8vEmVzejjRIzZ08+2jtbizOCVgsWddSQ5umBqL5+4oxM92neZN/HMSdaIhrSeudsLuonmLM2MZ2i62AGhzenifieVodfb0BoRI/vruWVzI+o++OS0g51Ajl6Kxswev3DcHl1q6kRKthodhsGJWMl7+uBp3FqfwciiNGgV6XB7e4sCjN09DeowGpYuyQDPeCJYYrQL335CG9fv6Q2n/5+5ZePt7c2HrdSMjVosz5q4AQ21WajQe+sMXvHt8tKYNfy4P7At2lwe5SQbMSjHig7NNvHv28n2z0etiuNId/veRNdyFBFrCcZ+HGnk0Gu+ggYRS/sX+vy+vDgzDtIzYtxMIBMIwGGjlix3UuxwumKLUeGpPJZe/9ebRq3i3vAHP3FaAH/aJcLyaGY+Vs5IFBwOL3YELZht2ltfiuVVFsDvdUCtkePuzGjx4YxaMWjnyknQhGXRsfp/YJM7DMBGrnCmRUIhSy/H0inykxWhEBWmi1TKf/3vLD9h63bztgtW4O3q5HRuW5WHz38/gQnM3tt41C98uMPHu29L8RGTEadBs7YVRq8CvPzyH0w1WwfyesSqxQRgdxloVUSiqgBWxeOPTGqwryUFrd6/gs3KusQt2V78xIGYInLzaiceW5OLp/WdBM4HenI4eJ841dnEhlD+4KRs/+bM3PPMHN2XzPHu+RtaWg+fR0eNEilGNF1YVYfXv+4Uuatvs+NHOk1h7UzZ3XJXcq0zIfr+0r4aab+imWLheaowGqUYtUo1a5E2JQl27DRqFDIkGJdJihENafVV1fRdnxrJGqpC4x4ZleWi2CguS+P8epVHgZ7sqeG3/5ftnuSLkf/jsCtaV5CA1RgMKQF17D37/2WX89JZcvPjRBSzJN+FcUxfPiPPPoRRaHNj64QVBcZEXVhXxtvvhjpNc392+uphXK5HtO289NDegn9KMcF/ITtDjXKMViXolthw8yzvWxabugHayKQqZcYGLJf4CLeOF0XgHDZRTRwHYAGAtvDXqJBRFuQG8xDDMphFrBYFAmDCMZrjLQCtfl1u9g/rzq4rQbnPxkvLZVUKtQsqtlOck6gUH+y67A2fNNrR0OTBvajx+ceAsLyzpuzcyyEvWQ6se2BCz2XtRZe5GU5cDmXFaYaPUZwITidS12/HO0Sv490VTRQVpMuJU2FE6D81dDshlEjw0PxValYx3PTpsLsHJq9XuxgurirD98CWuQPyWg2eRHK3irdJq1ApOvZSmGZhWzUJtmw0nrnYK5PeMTYkNwugxlqqIYlEFaTFqrhYYAMHajFqFFCqZlPdsCL03shP06HK4sXllPty0G7/5zhycvNoJmgH2nWrAPden4f0KM35wUzYoylufjpV8pyiv5+b2OSm8OnZJUSr8/N+mI3+KAXYnjYZO4fNwevrb9cS/5SJKLcdvvjMHWqUMiXolUmM0PAPnmdsKsO3QBd5x2BwodryYmqATDEFfkpeE2Ifm4kh1KxgGvGfZd3FmLGukBoh7GFSI1srR0tXL80LuO9WATSvyeSH4ZYtzcN7cFdD22jY7uhwubvyanqhHfUcPfvuvGnT0OPH0inw80zc2tXQ78cOSnIBj+PYbscWB5Gg11i7O5uoY3j4nBR6GwUv3zkZDZw+6e72eV3Z/X4EU3+P0ON1Ij1Vz5RkA4NilFjx7WwEvJ23D0jz86oNzqG2zY/vhGp4HGwBiNArB49e120ANUItuvBHud9BA8T0/BPA1ANczDHMZACiKygLwW4qifsQwzK/D0ioCgRCRjHa4S7CVL5pmcLZPne21w5fwxLdnQiWXwGxx8FaUX119XdAwCLvdhfcrW3hhfP5hU0kGFaJDEEax2h046HOs4vQoLrePC+dckY/rUozjbpVxMCQalLjQ3I0EvVJQkGZWqh4n6qz8816eh9RoBS9HJ0YrUv9Pr8Rd249xn7FiLHdvPyba73zD4OwumpffM56LExMmBmJRBXXtdlB9niyHi+aeFakEyE7Q4/XDl3D33DRc6+zh1AnZUEjfcDffiTH7Hnnlkyru980r8hGlkeOeuWnY5KNIyYZYssIq/iF0LVYHolUy1LXbsWn/GTy8MEvwPKYl6LF2cTYMSik0SlnAs7i8YApPvXBGogFquVQwB2ogJBIK8XolXj9SE9AO38WZsa6RKiTukWrUotPexAtvTDEq8er91+HLug54aGBHeR2eva1AsO1dDg+XB772pmy8/Ek1tt5ZBKNWgYr6Tl49O42Sv0jm3290Cqngd7R09eL1IzV4fEkuHG6aF+bJ1r17YH46t4+QV1gllyAjVotHFufwvZVL83CwsgGvrS7GF7XtyE7Qc/0W4Huw2XE6SqQOrE4pG1PDfTwiGeDvDwC4lzXoAIBhmBoA9/f9jUAgEDjEwl2utNnC9p3sZH1eVhyy4nXcJP7/s/fl8VHU5//vnb1m72w2JwkJLEnIHQwB0QJfBcsPa+QQ1FqLIli+tiJ8tR7VKiheBRGr4kVRPGoVFBRBS6mIReuB4QqJhCQEEhJybpK975nfH5sZdnZmQ4AACcz79fIlmZ39zOzM53qe5/28n2MWJ2ra7CDlBMqbbPD6/Vg2LR+kPDTtMYaEVkHgi0UTohqeQnXQXvqqBjcUp/a0kY/spFNvRNxuP6qanZy2yuqt2FDWgHfvGIsVswrw5u0luC4voU8UzoEMo1qKZdPy0GF3YNm0PJZus/abOqTGqNDpDLIGHcDUlquENyhBfooOK2cXYfmsAhAE8MS0PO47m56PpBglewxA1IKwQv2OcQR8sWgCPlxwea/vXoSI/gLDKgjvy0/NyMfW8iZ2s804nd78tg4quRTPfnEIE7IS8OTWn9HtDuD1/9Ri/ngzZo1OBQAsnpyJFbMKsGJ2EV7fVcvZGC/ZXIHSwhT270c3V8Dtp1iDjjn+4o4a3FiSikCQ5lHcXtxRA1+QRlKMmv0eU4Ik/HcsKc2FXEZAq5QiO1nPU328b8N+NFrdKBpqxP/LT0bRUCMUCulZjUOh5xnpnOnLOecbxyxOLPzHvlAO8Ve1eGlHLea9vQfpJjVmjErBhEwT1s0diyEGFdsnmHtfPDkTm/Y2gpQTuPeaLLz/YwM8/lBpiO/rLFj3XT0enpqNR64diYWTMrByexXnXXW5fNAopFgzZzQWTc7A8Hit4DWkhAQef6iOYWRpiZe+qkFpYQpe3FGDYI9s6ZYDTVg+q5D3nCkafAXQrZXITIzBo5sPIlFPorbNzvZbBh4/xap4knICJq1C8D5VCilruIfjUmZenCpSJ6dpuiPyIE3T7RKJRH6O7kmECBGDFAPJa2Z1+zAyUYflswqhlkvh9lP48tCJsFpySvzr4AmkmdRR783u9kT9TdlJWrx7x1hkJWv6VL7gYIsNrXZ+W2X1VrTaPRgWp0FBkh4q1eCfWgPBkKiMhJZiX2UT3r1jLFrtHsTrSPzrYBPi9YpQXqI3wJZxKG+yodXmwdGOIN7/oZ6lVV6dFYc35oyG3R1AkoFE4ZBQfaJw2m00CfRo/W6gFCcWcelAiFWQZlSjOM3IKmNOyU1Cu8ODeC2JoxYHulw+luLmCVC8kgIA8PItl8HlCwhujMNrf3n8J8t5RJ6XP8QAX4CKSqsMnwObrR42mpiVqMWRdgc+3N2Aq7ITkBarBt1THy+cnh5tLJ7uOIws5n3NyIRe5eovdB6lEKKtJx0OL2I1StA95R06nF7882AzVswuggSAnJAgQa+E2x9EkALe/u4YyxTJGaLHd0csUMgk8ARCNTqZGqHhkd/xGXGwe/ywuv14aUctS7GMFC1hnAbR6hiG90lSTuChqTmYkpOIghQD5zn/eNQS9fsMlTQz4WQdOQaknMDk7ARcOcKEBB2Jlh6Rn8j7HDU0BrnJhgsigDRQcSqjzneGn11wXDHxajS39F5Sr7Wt9TzdjQgRlwYuNN2FQSBAobbNyZHaXjYtHzdcNhQ2dwBvflOH6jYHVs4uinpvPl8Q5U0OGFTC1I94HYmRyRoY+mDQudy+nsVagnfnjcG6b49iZ3UH21aijkTxUCOnmOpghc8XhMXlg4wg0Gb3YnLuEHxb04rkGC0e+Hg3shK0yEkx8so4KPY2IF5HYu663Vg5uwgLP9gHANhZ3YHvj3bii4gcifDNmkou4wgCAJe2t1bEhUe03OJIIybybyaHbHicBl8smoB2R4gKp5ITvPykLQeaUG9xYkS8VnCOYgwE5m+1QibYRpCi0djlEvwsO0mPox0OTvtMNHHBRDM+KmvEnHHpnDzAcNVM5tpnOxaFink/NSMfM4pSejUKB5oDR2iNTDepeNL/K2YVYvboVLbOIPN7TWoFnt1WxaFD2tx+bDnQhMen5eP3f98jWMeOogGHJ4BHP63EI7/K4UTvIkVLmH4jlUCwTzB17yZkxOGGy1I4BhTdQyk92uGE2x/E4skZ2FDWyOkLzPftniBWbq/iCcqsumkUClJiOMa30H0m6slzbrhfqJIYZ4pTGXVFEonEJnBcglBB8gGL5pa2XouGA8CmP153nu5GhIhLAxdKNpwBMwF32L0cafwQva8CK2YX4cGPD7C14OieexbCkQ47rG4/PvqpAU9My+PI6i+blo+8PkboPJ4Atla0cnLynpiWBwD4/mhnT1vai8KgA4CjnXac6PLw8uUaOx1YMbsIJo0c898p41Fy3ry9BP862ASPP6T+yWx8ovWh8M0aRdGit1bEgEF/5BaH54Cu/s1l6HR4cdf/ZOCJLSfH1dLr8/DBjyEFV0YVMXyOefXrk7nDiyZlYtOe47hrYgae2Mptw6iWod0hxd1XZfLmqY9+akCdxckTt3isNBerv6oVpD6/uKOGVVDsr7EoVMz70U8rkJmgRdFQ41m1fT4htEY+Ob2ALUYOhH7bgxvLsWCimfd7F0/O5ESs1pc14Mnp+Xhoag48YZFYUk7AqFbwDO77p4yE2+dn+0ekMA9jkJNyAiMTdfj9/2Tg8fA+V5qHjXsb8OzMQlyWGirfE97fmRqKkbmZ734fUidl6uYtn1WIlBgSs4pTOBFrIaPsVPuKc2W4X8iSGGeKU5U0GNyJHSJEiDivuJB0F58viD3Hu9DQ6YJaIROkfTD0I6YW3FCjSvDeut0edLr8IGUEvj/aCQAsbdOoliNOo+iTQQcAB5utvJy8pZ9V4u07xuL3VwHZyZo+qWYOBlAUDatbOF/urbljMO/tn7BiVqHgu2m3e7Hu++Mg5QTkhIRDGSpJjxV8T063F5UtDrTavEiJIfHZ3Vei0+UfEDQrEZcGhDz5/SGlH95uglaJ8kYrJxrt8VN4YkslazxZdx3Bq78phjcQhI6UQ9tTGNzpDYJUEHj8s0rMGZfOGnThbbz+29EwqpV4oCcqxHy29LNQ+78qHIIxw2Pwwk2j4AtQiNHIQdE0FDJJVAXFUakx+HDB5f02FqMV826xejhCJAMdQmtkNEomRYN3bEiMCg+F1e9bNi0fw+LUSI3RYF9DF0h5qI7dw1OzYdIqcX/EO125/TAWTDTj66o2PDAlG3IZgTVzRsPi8IGUS0EQEtwyNg05ybqQkM1H3O8/sbUSK2YX4fntVQjSFGYUpaChy9VrDcUXd9TgzdtLoFXI4KcoTM1P4vWJ3owygpBgSk4i1i8Y10O9JZGXbDjn83vkODaqFahqsbEiMANxjRmc1W1FiBAxYHEh6C6BAIXN5SfY6Nzq31wmSEdS9RT09vgp0KCRN8TAa8vp9mJ7ZTuWbK6AUa1g1cJ2VnewQh0lQ2P6dF9WtwctURbsdrsXuclq6PtoHA4GtNicUTcoFocP79wxFm5/QPDd6Ek5Gzl4/T9HUN3mwNLrQyIrFEXzFk+n24vPK9oiCsHn47r8hIvGSBYxsBHNkx+vE5Zg72tucWS7iyZnRM1vykrQYfmsAmgUMnQ4PHjhy1CuVHjU7vHr83DP1SMglwo7u8rqu0BEMc4yE3QYYlCg/LidU/x58eRM/HHKSLR0uwXHs1opgz8Q5FBAzwbRinknGQbf/Bm5RtIULfjbIu0FUk5AR8rw1twxaLd7kWwgUZhsAEmG1rWCIYYe1dMaeAIUjlmcgu9URoTEwxZ+sA/LpuXC6QtyImuPXpeDLpcfB7usgt+vbg2Jmzz6aQWyErRweE5dQ/HHo53ITtKfUZSLomheQfLzETELX8uSDSQv6jkQo3YXB99HhAgRFwQURaOu3YHvj3Sgrt0BKtK12E/tuN1+7D5qwZYDJ7D7qAVut5/zeWWzlUO33Fh2nKd0ubQ0D2t3HWH/HmpU8yiPgQCFyhYHm+/V3JOgvWCiGS/fchn+NqcE1+bFQ61SnPI32dweHG52Ik7LVWpkrp+gUyI9Vn96D2qAo7HLizitEukmFe6+OgMLJ4X+SzepkKhXQgKABo1l07nvJkRHpfHB7y5HWiyJW8elY8XsInzwYz0Wf7gfVa02Xv+obHHwIqBLPqtAZYvjwj0AEZcUokXkFFLirBT5Itul6FB+k1CbBCHBX7+swcIP9oGmJbihOJU16Jh7enxLJVJjNajryY2LbIOmT8rSR35mUMngC9I43GrDnRPMWDgpA0a1Ai/uqEFtmwPF6Ua8N38M3rq9BC/fchle/20xll2fi4c2HsDBJhvmvbMb/6xoQSBAndVawRTzjlQPzUvmO+YGG9yBIE/d8b5fZiE7Ucc59szMAvgDVCj/SQo88PEB/KuqFT8ds+DA8W5UtdkwIk6DJ6fn44Uvq5Fu0gjOxcPiNEg2kLj76gzE60heZK3N7sWSzRVR+wQpI5BsIDF/vBkNXW7IZBLOeULfyUzQYfm2Q2jodJ52P7gQqtoAOMqap6OwfCFxziJ1EonkLQClANpoms7vORYLYD2AYQCOAbiJpumuns8eBjAfQBDAIpqm/3Wu7k2ECBFnj/7im/t8QXxe0YyHw/I1Vt00ClNyElHf6cIxixMyQoLDLTas+y7Ey182LR/X5ydBLpeistmKhk437pxgZouljhluwoayeqyYXQSPL4AUowrvfFeH8iYbuxnIj4jSOdweVPQUGGfaarZ60Gz14KUdtVgxqwCJemWfaJcutw/bKtqhUhDYeaiVX4tuWj4KknUXTR4dEDKIW20e7D1mwd1XZfB+L00Hcfu6PfD4Q/X53ry9BJ1OHwwqBV7acRhl9VY2V8fu8aPD4cW1Bcn4lQQ43OrABz8ew21XmtHQ6UKrzYMgLazW12rzXqAnIOJSQ7SotMsXPKscz8h2N+5pxF0TzbzadPdek4Xl2w7h1svTsHpnLdRKGRspSTaQnELiXU4/dla1YdVNo1DVYmMLki+YOAKrvwrl3kXmVy2bloe//3AU/zMyiaV+Mvl57/1QD4oGfqjrhEmr5OT6PTEtDwZSztYbW/ffI9Aopdjb0MVe96GpOae1VvCKefdQ8C6GObSxy81Td1z332N4emYevlg0Acc6HAAkeGLrybqDy6blYfTQGDy0sRzzx5uxtbyJnXcZoZQul5efQ1maB48/gLsmmmFx+WD3BjjrHXBS9ZKhcVpcPtaxYNIoEKRoTtTqkWtHsn0nWg3Fd76rw7wrh2NvQzcnN3P5rEIMiSFh0iij0hnPt6p2OPX5b3NK8Ojmg1EjkAOtHt65pF++DWA1gHfDjv0JwA6apv8ikUj+1PP3QxKJJBfArwHkARgC4EuJRJJF03TwHN6fCBEizgL9kTcSCFD4b10Ha9CFt7NmTgmbPM7Qfe6aaMbru+qw5LMKDItTo6HTxVHNenhqNuJ1SjYPoKw+pKBIykN5A9cXDUWaUYW8IdzNgMvtwxenKDCeYlQhP0nXp9/V7nJhmEmNVrsXv748HTTtx1tzx8DiCEWyYtSyPkX7BhMqm61I1JPQqZUCOXUVnKT/268YCjlBQK+S8wQCntz6M+aPN+PNb+uweHImaBr44MdjmFWcxlGCWzY9HyXpBpTVW9l7CCmiidRLEecHjCc/K0GLOyeOgNsbgIaUYUgMicuHm6LmFp9KUU9IIdHlDyIrSYs35oxGu92LFquHlbVPMpBYNi0XMkKCoTEqPHLtSNCQcIpGPzUjH3N/MSxCoCMfiQYF7r0mA4kGFdzeINbNHYMDjVbYPQG88nUt/jglmx13wMlaZQsmmgEAaSYN7/Oln4XyrhZ9sA86UoqZxUNx19/3cObW5dsOITtJx1krTvVchIp5XwyI1yoF1R31pALmeC067F7ctm63YJ7ypv3NkEiA0sIUzrwbEkrh50k+sbUS79wxBnsbugUN9WarB3qlFIsmZ0CtkEIhl3LOW3p9HuJVclS12GBUh9aw5Bg16i1OPDe7CE3dLqjlUjb/kiAkeOe7OlxujofF5WOVO5n7YYzSN7+t4zmFmf4QTUWzr5HvyFIYecn6qM4AIWf18lmFSDWqTlnsfiDgnLk4aJreBaAz4vB0AO/0/PsdADPCjn9I07S3p9B5LYCx5+reRIi4lBFJdTxTWkxv3rO+orLZin3Hu6MkwIeib8kGkk22trh8uKE4lY3IhKuhGdUKuPxBVLXaBdsLUjSuK0hGURq/dEBli733AuPT85GXouuTIdbt9uDHOjtW/OsQaISknYOUFF6/Fw98XI7jnW6kxaj6/IwGAyiKhs0TQEOnE9mJOsHnz3Srl3+dD7dfgtvW7cZPx7oEzx0ep8adE8z48KcGpMWqcduVZp7Aw5LNFbj3lyM59KRl0/KRlzRwvKaXAvqLgj0YMcykwRtzinHL5el48OMDeGjTQdz/0QH8dKwLFEXDHK/FOHMczPFazkZ1W2ULfvXSN7jlbz/iVy99g22VLexzCwQo2N1+PDe7CO/OG4MVs/Nxz6QMvLijBvPf3oP/fW8P2mxevP8GiBpGAAAgAElEQVRjA+tw6nR4IZVKce+G/Xho00E4fEFe0ehHP63AMYuLc2z1zhr4AzS0SjnsngCOdTrxp03lMKjk+Ka6DfUWN9xe4dp2WYk6DDNpoJBK2M19+OduXyh3dkiMmkcHZQpYh68Vp3ouFzMIAlhamsfOZQyTodXmwYHj3Wi1ewXfgcXhBSknoFFIkZ2kY+mxuw63YdGkTHQI1EX1+Cl0u/w8yiWz3qWbVDBqlFizqw52T5CNwDLnPbGlEhUnbHhjVx3ummjG3CuH4YGPD2Dl9mo88PEBSBDq5/du2I/F6/fjne/qsGjySGQlapGVILw2KGUEj84Y3h/mvV2GN3bV4bYr0pFsIE8r8s2Uwrh5zQ+46+97cfOa7/HpgSYEAhR7nfD562gH31n90MZyxKgUA66QvRDOt1BKIk3TzQBA03SzRCJJ6DmeAuCHsPMae47xIJFIFgBYAABpaWnn8FZFiDgzDOQ+GumFSjepcM+kTE6069mZhbguPwkKhbD4LeP1CkRJ7j4dz1Wz1cPy9iPbqe90481v6zgeRIoOJWKTcgKJOiXnO4zq1p0TzILtpUehdng8gajKatlJWrw7byzykrR9Et8IBChUNztR3dKFP1yVif2N3aBo4NWva3H31ZlY/7txGBavuuBCHv3ZRyP71OLJGYLPP1mvxDvzxsDmDiDJIMMVw2PZzyLPPdrhYt+9TErA4fIJvh+7J4B3541Fq82LRL2yz+9JRP/gXEp+D+R5lAFBSBBDKvC/W/byDKhoUvu9MRzSjGrBWmyb9p6k5gEhGfsbilOxtTxEY3R6A2iwONmi39FEVcLto2QDid+MTcfd/9jHYUPMu3I4Xv/PyQidXi1cp7O61c6WLBCqS6dRyLBoUiYaooh1SAlw1or+YH6cb/RXHzWoFNi4twErZhdBIQVs7iBb9oWUE3hn3ljBdxCnVeLhqdnwBCg2IsdE3bZVNOPP1+VGFbEReidpsSpOZDYa5XB4nBrPzS6CNxBEZ6eL7XceP4UXvqxmWRmFKXrMKk5j2RjR1oZhcRq27VZbiM4o1B9e3FGDd+4Yi3hddKpmJHorhVGQEsObv1bOLhL8ze0Oz4ArZC+EgUJGFnoqgu4ZmqbX0DRdQtN0SXx8/Dm+LREiTh8DuY9GTpSlhSm8Ce/hT8rx37oO1pMVjnCv14Mfl/OSu0/Xc5VsUGHLgSYsmsRt5+mZBdCRUhjVCk7EjJCECpsum5YPoyZEEVk4KQPJBpJdgDbuaeS1F+2+KIpGebMVBMFN9Ga+F99TFFzIUPD5gtjf0IVd1W3YVtGMfQ2dqDhhhVRK4RdZSaxBt+VAE24uScMrO2tAge5TsfJzjf7so5F9akNZI69fPDUjH+kmDZZsrsA9H+zDgvf24LqiFKQZVXh6ZgHn3EWTMrFpbyPrPVbLpRjSo3wXDlIeStYfO9yE64uGYOxwk2jQnWecSwGDgTyPhqM5CmOh2eoRjGD2xnCItgGdN34E3vy2Dqu/qsXab+pwc0kaClJ0WDBxBO7bsB8PfFyON3bVYc64UCQDEBaryE7UsYIZt12RzovmvbijBiatEr8ekwaPL4DlswpgcXh543np9Xn4uqqN870bS1LZzxlaZ0oMiREJWsF7KUmP5czJ/cH8ON/orz46zKTBvPEj8ODHB+ALgsca2VhWjxWzCtn1bvHkDKyYVQiNUgqXnx+VfemrGlyVnYBut4+3Fi6alAkJaMF30m73orbNzjO6Is9LNpBYub0K93/E73fhzoM7J47gMCyE1oalpXnodnnZv9U9zuToZR5Cjf941MKOKyG2AHPseJc76vg82NTNm79q2uxRRY4Y1dLI6PtAwvmO1LVKJJLknihdMoC2nuONAMJZ0qkATpznexMh4qJH5EQZzRO373g3YjUKjqc5EKCw73gXu+kIV4YsSDFgRE+h3NOZ6PKS9bhnUiZe7kmolxJAUWoM/v79MXx/tJON0kkJYPHkTKQYVUiNUYGig7h+9fcczyTRE8Frtnrw3g/1bHuTsxNQkBLDuy8mymD3+PH+D/VYWprHSShfNi0f+ckaQe690+3FjuoONHW58eKOGhjVCtxYkoqxw2PQavPjz2GJ4Eyx1dLCFLRdhCIeLd3cPsX0i7W3laDD4UNdhwPPb69mC88yUddHPz3IJvivumkUXL4Ajna42M+BHs+t3YPtlSd4BeCfnH5xKN8NZpxvAYOBiGhS+waVHL966RtOBHNKTiICwegMh+oo1PGqFhtv075mzmj833p+rtv88WZhsYrr8/Dc9ipWaOOx0lw2whJ+reo2OxL1JIbHa1DdYsdTnx+CUa1gI4WEBLC7fZian4x2h4+N0OQk6fHarcWI1ymRl6hDs8OLIAUk6UmeaMzyWYW40mw6ZR7hQMxZOhcIr133c7ON1we+qe3C5SMSOLltz99YhNwkAzrswiyGzAQdCEiwvqyBV6x8REKuYNFxqQQYEa9n3wPjIA0/b9GkTDzyyUHcXJLGztVMv3tlZy3rfAXAo+4ya8OrvynG3uPdoGng9V2hqDDTtj8YOj9BJ9wfgjSNT/c3scItxekxcHopHltAIZNg4T/24bnZRVHH546qNt6z21DWiGdmFnDEXAYizTIazrdR9xmA2wH8pef/m8OO/0MikaxCSCglE8Du83xvlwRaW1owLCuv13M6OzsQGxsX9fPkpAR8v2tnf9+aiPOAaAsnb+KkwCnqykToghTNm6Rf2lGLN35b3Of6S5GJ8IyiWVO3GxQFvPhlNcqbbADAJuSPHxGHBL0SSVoSexu7Me+dMt5m5sPfjcPzsRr88aP9aLZ62MRrIYMOOBlleG52EarbHPhgd0gt0+0LQKOQIS1WBa1AVM3jCWB/kx21bQ6s2VUHo1qBOePSsb6sAYWpMaxBF35vjIE5GGsqnQryHjnr8H7R5fJBJpXgT5vKOcfDF3+jWoHsJB0kkhQcbrEhd4gBb37LT0RPNpC4Nj8F7/94jFUzTTWqcVnKxaF8N5hxKW/EGTBS++GUySen5+P57VxBiPs27Mf6BePw6OaDvI3y8lmFGGbSwOEVruEYjCBNePwUHFFy3SSS0PjTKKS4f0oWYtQKkDIpa9Ax5z259We2cHnktZ7c+jPemluCeB3JOvDCRTwWTsrA2m/qOBt5P0Xj+e1VeGhqDorTjDCr5OyakBar4dHWAKCu3cGuBWlG9Vkphg52MFEgu4ffB24sSWXXFUbV9HCrHUl6EgaVMD22ps2OwhQDFl6dyZb7YSJjr3xVg3aHjzX2iofG4M+fVmBJaS5e+7qW7Z/NVg/WlzXg7TvG4LsjFgQpCBpyTL9jnAf+QJCleQqtDQ5fkFVcBQBfIIj5481YX9aAqflJAMA6ciMdE3U96y5z7LHSXKzZdYQ31hgK6N92HeE5bJnxOW5EvOD9FafF4IsBTrOMhnNZ0uADAFcBiJNIJI0AliJkzG2QSCTzATQAuBEAaJqulEgkGwD8DCAA4G5R+fLcIEjTGHf/2l7P2fTH63o954eVd/b3bYk4Txhm0nAWzi0HmnheKSayNCU3gf0eQwuK5vXqzVhhDDmL04sT3R48tLGcs2hPzUtC0VAjLE4f5r1dxvluyOOoRcmwWFAUjc3lJ1AfJUfDEwji2vwk5CT3bTJmogzhk/6iD/axUbqseGGly6NdIXpHikEFj5/CH/5nBNb+tw5/nJINi0M4oV1KAKOGxlxUkSXmvXa6/HisNJdT7PjJ6flw9rLpTDaQuO2KdE4eyJLSXDw8NZtVR2P6xxXmOAQCFGLUcuw73o0gBZQd6wBBpKPdHsqly0/qm4iNiP5F5HxyqW3EAWGpfYqmOaqswEnKV73FzTIJmOiJSSMHAOiUMt5G9snp+Vi9s4bTFmM4C83FY4YZQUjMeO0/dT1qfyT+75pM1qALv5+MeC3bBjP3v/dDPTx+Cm5fMKrRTvfk7OnIEAV+eFxIMMVAytk8uGEmDTvvK6QEXD3tMX1DKBdzSk7ioN1M9xfykvV4cno+xxAzx2lZgy68lMCaXXW495osPHJtNp7558l587HSXNAUBVIhxRC5FO/NG4sutx8xKjnWflPLOk0Zg3zF7CJ0uXxQK6WobnOg/YcQAycnSY9DLTa0230c4x84OZcDoT5RkGLAqhuL4AmEcvPemz8Wh5ttPIbF0utP1otlvsvkUIfPHUxUL3ycxGoUWPzhPo4Bx6glhzsdwimg5U02oMdhS0iAoTEqUAiNz6ZuL8/BsuqmUUiL1bBG9mDDOTPqaJq+JcpHk6Oc/zSAp8/V/YgQIYJL82AWziE6EsawDfP6sgbcMymTY4AwFBshr1dvBWADAQrf1VlQVt+JzAQda9AB/ER4jYLv1SPlBJL0JCiKxr7jXQgEKZSkG6NGB5iJuC+TMbNhCZ/0Pb4AhsVpUJhsAEnyp0e724PKEw48+ulB3DnBjCm5cYjTKXFzSUhuP5pIy2VpRowTUN0crBAS3Hn1N8WwewM40u7Aqn9X46aS1KgbwhtLUnnqa8u2/ow3by/Bu/PGwuL0Il5LonCIAQQhwaFWG37/fkiM4uqsOEwtSMbcdbtZ2muz1YPUGBUsLh9MagUKhhiiCv2I6D8IzSeX4kY8Umq/rt0h2PcZqmZ45IuUE5ASZtg8QRjVcnYjq5SFBCQkoPGnqTn4y7ZDLHVy0aRMSAlg+axCjpNs0aRMHG62cTbgzVYPjne5hSloaplgFCbdpILNHcCyrXsF6Xfv/VCPdJMK8TqSQzVfWpqHD3bXo9PpRVWLHcu3HcLNJWm8TfPIRJ1gLuYXPWvBYNxM9yf0KlmoJECQglQiQastpHIqVAD7hS+rsfDqDKycXYTqNntoDd/dgOsKh+DOMLEVxln7h6sycLjVyfalpaV5ePe7Otz3yyy0dLmwosdxG6tWoMUWYuK8dXtJ1LmclIdKCR3vdGHl9sMcw/KVr+sQr1WwDBidUgYpIUF1m4Nt48np+chM0GBWcQpr0B3rcEBKSHhlHlbMKojqNA1HOAUUCBl2D358AAsmmkFIJMhN1iHdpEJpYQoIAnhudhHqLU5MyIyLyuwZLDjf9EsRIkRcYAgZPhMy4hGrUaDF6sGU3AReUVdmMxJpAA2P0+CyocLGCkXR+Lyimd10LJqc0Wv+TaJeyfNSL56cCZNGwVGESzepeN4/hr50OgiPMjCT/qqbRqEkPVZwUvf5giirt+HRTw+y+QarbiqCxeFjF1qhHISnZxZgXJoRKpX8tO5vICNSIKPe4sb+xpN1j4CTSfHh7/Ox0lx4ejz2Qn2hw+HjbFKfmpGPGUUpHHXSueOH43/f28PSXiM3nE+XNeDuqzMxo3CIaNidB5yOI+VSQbQIZl6ynnecMZK6XD6sX3AFulw+bNrbiDnj0jl1GR8rzYXd44fdE8T6sgbkDtFj1b8P4405o7Gnvos1ymaN5jtTthxo4kXTn55RgCWbK2Eg5bh1XDpnPl1Smoe7/xFyorz3Qz0WXp2BJAOJhk4Xe68v3DQK90YYZk9srcTK2UWQSwnct2E/5o8384yQ+zbsx6u3Fve6FlzKqGy2YvGH+2FUK3DXRDNc/iBSjSo8VpobNYfVE6BQ1WpnKY33T8kSFE+ZP96MpZ9VYs2c0eh2+RGjluOYxYkrM+IRQ8rQ5Q7g1V1VrCHOOCkbOp2Cc3mCTom1t5fgYKOV56QLp/cu+uBkvdj7rsnkRN9W76zBurljYY7XgqJofHW4FTWtDnz4UwNvLU0xCuevlqTHciLOTE6dUBS6y+XDPxdN4Kl+M87pwWzQAaJRJ0KECJy6qGt43ghjAD01Iz+qQQeENv7hkblopQuY/Ju0WA0yE7VYMNEMig4l5GcmauHyBzmKcPUWN179upbdzIwbbsLYYcKGWG843ShD+Qkr9h3vglGtwA3FqZBIgHaHF8c6TtZ+ChdpSY9VIVarhFouuagMOkBYICNSRp2hz6yZUwKbxw+NUobHP6tAvcWNP00dKdgXjrQ7OBsDRno6XIyiy+mHx08Jeq2ZjcuSzRUwx2lQMiz2PDwNESK46G1umZqXBNMdY/FNbQdoGhxhIH8wiFU3jUJVi43Xtxma2Zvf1uGx0lws7RlLB45bOZE5IcfSzSVpWL+bK5hhcXh6KJlu4Id6rJxdBEhCkuhH2hycOW3l9mokG0j8+Vc5mDU6FYQE8AUpQQODBuDyBVl6ntA5GoFcq0stFzMaGAfWDcWpeHZbFeaPN+OBj8thVCvwyK9yokbMdEop+1m8Vin43Jn3sf+4FR/sDpXFyE7SIl5LoqnbhRe+rOYY4kxfWvfdMdw53sxZm7VKKV7eUYPbrhyGWLVC8HppRjXHsHpqRgGe336YI84DgDXmj1mcKG+0ss7BSMGzvGSDoLPkSrOJR9sFgHeijLM2u1dQZbY4zTjonQqiUSdChIhTQihvJDKaF4nIjb/QZiOcQ08QEkwamQhznJadnFMNKvy7qpW3YNRb3Gi1epBu0qDkLGiNfY0y+HxBuHwBjIjT4J5JGVjW4/F+d94YBCmKs9AyIi0rZhfhya2VeP7GUWd0bwMZcVolb3MhlfCN9i6XD6SMgD6GhNXjx3OzilDf6UKsRo7Hr8/D41u4NN7nt1dzruPxU2ixejA5O5F1KsRqQsIA0TaMzPFWW3QpdCHBnsHuoRUxsBBtbiEICeJ1Sqz9hi8KFKtRojgtljeOgJN1xOaPN8Pp8bM5cr4gf/5ZX9aAlbOLUNVqx8hEHVb2iKQwuVSknMD88Wa27fImGxZ+sA+rb7kM9318AC/0FFmOHMsAMCxWjRabB0oZEYUur0SCPjQ/MMciz0nUKS/5XMxoYBxYzDzG/L/Z6sEzXxziraH3XpOFf+yux19uKGSjaUICJeF0yZwkHbtOMY6CFbMKeYY446S89fI0JOiVSDep0Wb3gpRJ4fL6YfX4QcqkqLLYBa/XYvNwjDKDSs72o/DzGGO+1catsRhOU75yhAkyGRHVWSI01qKNM6dPON/7YogUi0adCBEi+rTJPVU0LxKRSfbMZmPd3DHs55HXCZ+cGcVNUi4VXDB6o372J3y+ID4tP4ElmyvYBZC5l3XfHsWM4hQeNeWhqdl4fnsV7r46E4VDBqc4SrQ+4fMFcajFxvvNQwwkL8F/2bQ8+IIBrPhXDcrqrSwNZtW/Q8YbEzkYO8yIWI1CcMFPMpAcp4I3EMCyaflo6nb1unFJ1At7/c9lwWwRIvoyl/YmMEMQEgwzaQT7dkOnG29+W4e/zTmZ4yTkLPvN2HRYHF6s/SakznvbFemcsfrUjAK8/BXXgULKCSh7jL1wBUQOtfmLQ+hyhVQTX91Zy8uvXlqah+XbDuHXY9PxxpxiLNlcGVWIQkgRUxx/J1kxxztdPMOYMbIWTDQjxaBCk9WNVKMK79wxliMsopARvPmZyalbPDkTLn8AJekGTMpOYoVxjvTkgYZfDwit274ghcUf7uf1x9duLQZBhOi9915zkvLJpE68+32I7sioUAPo1ZhP1JOCzsFww+906N7Rxll6rPD4OptI8UBxFIpGnQgRlzjOxSaXomgQEvCUNe/75UiMSY/tkyHGKG5mJWgFxVnOh0EHAAdPWLGkx1CJjA7trO4AAPxhUgZe/+1ouP1BxKjlaLd5sHxWEYqS9YMyr0uoTzw7sxDX5Seh/IQVD/bQgeaPNyMtVoWGTjf+uqMWVww34q25Y2BxeJGgI6ElpdhX34VxI+IxbkQ8Nu5p5EhhM+prV2VdjuxEvjR8uAgP41QAgPwkH6raHEg1qjlGJLNxWTY9P6oxHa1gNiPYI0LEmaKvc+mpqN9Cm9HlswqREkNiVnEKR/6fcZa9dmtIqKi2zYG3vzsGhUyCVTeNQl27AyPitVh4dQbitUo0Wd34/EAT/nBVBieP7tmZBXjq85/ZCGC7w8dG+yLpa1IiFN1T7A056Y53ukAqZFi76wjKm2yoOFGBv8+/HO/cMRYdDi/WLxjHUb9kfqeYi8kH48CqarVhaKwaL39VwzGMQ+wHKd7/sR4TshJwuNWOVKMayQaSFRZJNpC4a2KILpkWqwYpk6Kx24XSwhTW0HpjzmhUNJ1UaGXqs724o5pniA+P0whGtki5FJcPN2HdXA06nV5sWDAOFqcPWqUMKoUUo4bG8N75qfp9QaqBZ5CeThQ30rgSUlQFejcuTxcDyVEoGnUiRFzi6O9NbvgEZ1QrsGCiGVmJOuQk6TE8ru/eKya3IFycxe0LIC1W3WfD8GwRCFBo7HbzPHrhf39/tBO/dQdYYQFGHKUoWT9oc+mE+sTDn5QjRi2D2x9kvcav7KzFwkkZbPRy0/5mbNrfDFJOYO1tJfj5hAtPfVHFMbqYYvJA6FkyBtjpUHzVKgWK02MxaqgRo9ONaLF6IJdK0O324/kbR6GwF/VLsWC2iHOF05lLe4s49CXfd2peEkbeMwGHWmyobrXjcKsdBIAgBcwanQqaDtWba7Z6sHJ2IVbvrMWdE8ysmEZVq4ONlGcn6rBm1xH8ekwau5nucvlgUMkF6WtXmE24wmyCWiFFU7cbD248yLl/j5/Crpp2ZCfpxQj4GUAmI5CfEoPcZAOK04zodIYM41abFwcardhW0Yyp+cmc0garbhqF1b+5DAv/sQ/NVg/e+u4onp5RgE6XDwt7hErC8dOxLqz9po4jIFKcFoN1c8fyrneiW1g9NVF/eorTwKn7/aSRiciI16I4zQiXL4C0WE2f9w29GVeR1+tP1d6B5CgUjToRIi5x9PcmN3yCY4qTk3ICXyyacFqTZrg4RnmTja0ht37BuPNWGqCy2cqRJxeiOi0tzcP6n7iFsYtTYwRLIgwWROsT+453Y3xGHGeB37iHr3K5aFImDjbxFdHYYvIZcRiZqEOinuQYYKdL8T0T5UWxYLaIc4X+nEtP1bcJQgKJBLj/o5BCZrKBxJLSXKzawKfJMblNIxN1HCofEymfP96M8iYb2h0+LJhoxmVDY5Bu0iDNqBYsm/CnTeWsYiEgERxPQQpiBPwsEdkH6todWPThvqiqop/fM4ETlaJpRC1oz9QaZObk7CQ9rz4bcz2jWtFrPnx//+ZhcVoMizu7vQdw5k6V08VAchReHEWTRIgQccZgNrnhOJtNbm8T3KlAUTTq2h34/kgHYtQyPDUjn8Pz760m3rlAs9WDDWUhQ46UEyzV6dVbi/HYdTmYP96MD3bXIzMxBtWtdiQZSIwdFjuoDTogep8IUoDbF8Cy6SffS5fLhxSjCu/PvxwLJ2Vg/ngz3vuhHs4eBbxwePwURsRrUTzUiOsKh6BkWCjiyrzzuvZQYfdzCYbaFt6vRJEGEf2B/p5LT4XwubbZ6sFrX9fisdJc3pz50Z7jeGVnLVZur8LS6/M4ny+alIlNexvZNl7aUQuVQgpzvBYyGYEhMSTmjzdzxna9xY16ixMURbM5YEJt9nXeF9E3MHOXlBAWiWp3hIyIceY4mOO1GB6ngUpB9PrOPX4Klw2NEYyoMtfrcvnYXL7Vv7kMn98zYUBGYM9m73E2ON/jvjcM7p2HCBEizhqR+RvpJhWenF7AqgeeLi0hWiREJZeGcu2itCVEnXhjTjHW/24cWmx9U9zsbyQbVOyCxlCVCAlg0ijwh55i2EAov4SUE5g5asJFUWB8mEmDZ2cW4uFPuB769WUNuHpkPKalm2CO07B5C4VDDGi0ugWpWpF/FwzRo6HLhVZbyJt81OLAwn/sO2+5CGLBbBHnCr0JoJwLRM615U02WHcdwfoF4+D2B5GgI5FmVKM4zYg2uwfxWhIyaUjq3eULIFatwKL1+zgS85GbUZNGyRGHYs7Zd7wbNk8A1+UnY0ZRCjLitWjscsPpDaDD6RVsS8TZgZm7UmJUnJqggPCzJggJfmGOx77GLqyZMxoObwBVLXZOfiQpJ5AeZf7ry1w5UARCgAvHwjjf4743iEadCBGXOMIn7k6nF03dHix4r+yMN9lCE9yiSZlY9OE+PDQ1J2pbQtSJ/31vL75YNAFFacZ+/c19RV6yHmtvL4ZUIkW73Yt4nRJBOoicRH4R4VU3jcLwuIsj2kMQElyXn4QYtQz7jncjSAGdDhdWzCrCCasbFE2jIEnPqQMX+d63HGjiCZ+s/s1lqGp1cJ7b4smZMKoVbA7l+aBsiQWzRZwLnG+HgdBc+9DUHBSkxHCuGdnX002hf1MUjYem5gg69Gg6JIjSavPgb3NK8Ojmg6i3uDm5sV0uH4xqBa40m3DC6sH9YcXSF0/ORGaitk8b20CAQmWzFc1WD5INKuQl6y8K59i5AEFIUJAiXK8tzahGXbuDY2A1drvwTU0HKBpQyQmY1CdVhkk5gedv7N346G2uHCgCIYxh2WL1YN3cMTjY2A2bN4gtB5rw0NScc25cDSRHoWjUiRAhgsOj/+2bu88q4Zf1Ji4Yhx1VbQhSJ5XTemvL4vSy0TAglKvVbPVcUAGLQIDCiS4flnwWLtOfDyqVFpzEAfAW1cEaAVIopJiQEQ8dKUez1Qm3T4Xb1+3mPIdpBcks1VRoYUs1qJCZoO3ZrJHQKGQoXf0tp3+9uCOkhrlpbyOnqPtgfnYiLl30t8Ogt0jI2W4mT+XQC5elf2ZmAdrsHgSCNCSSkBgLAFQ1W2FQyXgOuRd31ODze06dR82UrolUvZ1RlCIadlEg9N7TjGpsP9TKM7BommajeqQ8VNdu8eRMxOuUIGVS6FVSHLM4z2i+PdcCIX2JAgoZlosmZWLLgSbc98uRmJKTeF7WkYHiKBSNOhEiBhncbj8OttjQavMiUa9EQVL/qSz2V8IvQUjg8gXx0o7aPrVFUTROdHtYmk843e9C0ncONltZgw4I3f+SzyowPE6NMcNNnEk8EKDweUUzR1RgsNc/k8kI+IMUTFoV5r39U9Tn4Hb7cajNDrs3AI8/iOE9IguRm4yVs4sE+5dSRmDOuHQ2EX/tN3WD/tmJuHgQvk80Pk0AACAASURBVLlMNpAIUkCbPfpG0+cLovyEFS02D5L1JAp6UWONbD+8zb5EQs52M9mbQ49xuLyysxaPfHIQiydngpBIOKJIj5XmRl032h0ejEjo/b6Y0jXh13300wpkJmjZEiYi+BASUREysBZMNHOOvfBlNRZPzoQ3QHEM6VPNt5F9Oi9Jj2MWZ5/3C6dL0+xrFFDIsGTK5jy0sRz5Qwyn7IMXE0SjToSIQQSn24vPK9vYummMJPz1eUn9YtidipNOUTSOdznRavWiw+lFSow6KlWmr/x2iqJxsKkbR9oduHOCmY3QvfRVDdbMKbmgAhYtNq/gotVq83KOURSN7+osrEHHnHcxqL8l6klUNFmjPge3249/H25DU7ebs9l7ZmYBOuweXDE8FjNHD4XbG4BeJRPsE/kpek6OYvizSzOqRWqWiH7F6WwwI0u0RBbyjtxoejwBfFbRzJujE/UKxKiUvP7b2+a1t0jIMJOmX3OZohlmDHMiRM/U8O7nya0/4/35l59xLhNDu468brPV02cV3EsdTH8Weo6RulMeP4WhsWo8968qDjNm+bZDyE7SwRyv5Y2PITqS36en5cPp8wu+93gtyWGsRIsiTslJZPOrI/twX6OAvfVbj5/CoRbbaZVSuhDoz7xE0agTIWKQIBCgUNHiQGOXC3dOMAMIURSXbK7AcFMoYnK26C3hl6JofFPbhhPdXjyxpZKzYbl8uBFDjdyJqC/Jw9GoEwxdUy6VXNDJOEmvjFKfR4kDx7tYQ0OjkKKsvrNfopwDDcNMGnQ4vFGfw8EWG2rbHZzEfY+fwiOfHMSD/28kphYk48GeXJt0kwrLpuVz6Kz3/TILpJzg9Glmo9dsdWFPfRenwLhIzRJxNjjdPKDwzeUNxam8Mh3hG02KorG3sZvd/DLnLNlcgTfmjMZXVa1o6HTi2rxktv9G27ymLBgXdcNa2+ZAxQkrTnS5QQNw+4O40mxCnFaJdocXCToSUiJkMPV1kxjNCUfTJ/8dq1EI3g9BgJc/+9SMfKQZ1ad8H+Gla8KvqyNlCAQocZwj1GePdjhR3+mERiFDol7Jlh9g+vPhFpvgc4x87aScgFJK4OaSNE6JgkWTMmFxekFIgL0N3XhxRzVKC1OgkhMYMzwWr+zk9vsln1Vg9S2XCZY6iBS/WjOnRLCPr5lTEjV/P1rfb7Vx19Pe+i0pJ1Ddakdusr7XNfhCir30d16iaNSJEDFIcLjVhvoOJ4cfzxhArXbvqRvoA3rL0ahrd8DuDrIGHXByw7JydhEqT9h5tKBT5Xv0Rp1489s6JOovrHJaQbKBZ4Qsm5YPbzCA+z+uRGlhCn5utiE7SQeKFlZ7HKzqb+ELXYqRFHwOtITC0XY3KFpYYjteR+KBHoMOAOotbrzydQ1Wzi5CVasdpCykijrv7TJen+5y+RCkwBp0TJsiNUvE2eB084DCN5eM9z8c4Y6bYxYnjne5BM9psXrw6f4m/GlqDr6uboM5PiQiEm3zuqOqDZkJOsE5peKEla3/uXhyJr6uaoNKLuVEEMPz4XrbJDLj3OL08mrSMW0wG81oTi5CIsHLPfO2RALQNPDyVzUoTjOe0qGVl6zHk9PzOY6bpaV5eOHfh/FYad4lOc4j6b6VJ+z440dccanMRC0mjUxk+7NRrcC912ThhS+r2fPuvSYLpIxg3xkpJ7BiViFMWgXu+ZBfQ/St28dg074mbN7fJGj0hatmevwUnN4gRxn6CnMshhhUuPalbzhtR3N4hh+PHIdqhTCrQx1BY44mzLa+rIG95ytHmKLSQS1OL050ey5Y2kR/5yWKRt1ZorWlBcOy8no/p631PN3N4MIVE69Gc0tbr+ckJyXg+107z9MdDWx0uvxY8lklbyJeMNEMk0bRb9eJlqPRavPA6Q0ITs5OXwBLP6vkTUSnyveItqGREhgQtcNIUoZpBckYHqdmcxg1Sil+//5ezqK3eHIGthxo4nktl88qvOC/4Uwg5D18d34J3ps3ln0OSTFK/HLVN3hudhGkEmGDNlYj50Xg6i1uVLXasfqrWtx9dQZW7zwk2KcT9WRU+muLSM0ScYY43bzhyEhAb46bVpsn6mY0Rq3AzSVpuDfCIx9eEDz8/CAFNHW7eHMKY2gx9/3ijhqsmF3ERsMjj1e32nG4xYbcZB2voHPkOE83qbBmTgnkUgkb7bssLYYjBCXEvnD5giGHzU5uDnVfWAoyGYEkgwIrZhfB7QtApZBh7a4jKG+yXZLjPJLu++df5aC6zc5JTXhxR2iONMdp2f7cbPWAomksmGjGiDgtqtscePu7YwDAGl3FQ2NAgYbF4RMcA3sbukDRQGlhCq+4OeNsZd4xKScQo5FzitgTEiArQcdrO5rDM9jzZ7KB5Ilk+YJBXt9fNCkT/iC37XDncb3FCac3iMZuF0oLU1jnoFDKB/OMGQdyfxlVp4v+LlwuGnVniSBNY9z9a3s9Z9MfrztPdzO40NzSdspn98PKO8/T3QxsBAIU7B5hg2pEvBaaXpLw+wuJehIWp09wclYpZGc0EUWjTkzOTuDJcl8okKQMY4ab4PEE8MXPLThmcfIWvQ1ljbjtinR8+FMD5o83Q0oAJemxuNJsGhC/4XQh5D287c0yfLFoAkvz/f5IBzx+Cn/bdQR3/GI4Fk/O5EQKlk3LwyOfCMugM/01WuQjxaBCl9uHlBi1YP9IMgzO6KeIC4/TrWUVHgnYuKeR18/DnU+JehLPb6/C0tI8PLH1JEV9aWkejnc6eRvl+zbsxz8XTcCzMwvw8CcHeVGRWaNTseVAE7spH5mowzNfHOLUlfP4KbijONtq20LOE1IeqkXGUPYYRI7zeosbC94LjXNmHo80BIXYF8cszrNiKehJJX737vfiOAc4kbc549I5ZSLCo2UUDZYuyDx7py+I1V/V4uVbLuMYKozRxRj/0XIgpYQEIxN1cPmE+5OUOHnu0uvzcNziZP9m7u2mklRe21sONPGiwMtnFWLVvw8j2UAKimSNTNRhfVkDJ/q7vqwBU/OTeM+McR4PM2mwrbIFf/1SeHxGPmOPnzpl9P1co79r64lGnQgRAxwURWNfYxdiNXLBwT/EQCIz7txPPsNMGhzvcmLp9XmcnLql1+dh7a4jZzQRRcu7GygGHQOfL4gDJ6x45JODuHNCyGgLfw/NVg/e/b4ef715FGjQg76gdV+8h8xiVN5kw7r/HsUjv8rB678dDbc/iFi1AgeOd+H6ohSO8M2CiWao5FIkGUikm1QAhD24TVY3ghTwt11HeP3tqRn5yEs2nL+HIeKiwukWCo6kkSfpSUzJTUK7g08pH2bSYN74EXjr2yNYMbsIEgASAGt2HcHEkQmCY6qy2Ya/7qhmnUGFqTF4/esaNFs92LinEXdNNMPi8oGiQ04QpsYYA1JOQK0Ujg4yQQ2PP5TjOmpoDGejeiZlZITYF2dbfDkvWS+Yk3cpjnNm7r2hOJXjBDCqFfAEgvi/yZk4YXXDpFFAISPQ1O3CMzML8MgnBwGE3vvfdh0RdCx8suc45o83w+L04rVbi/H4lkrW6fbc7EI4vEE88PEB3DnBLNifRqcbsWJWAZIMJGiahlYpx8JJGaDpk2WLNpQ1svdjVCtwY0kqshJ0yBuix+f3TGDHTZpRDbmUQFWLLaqzI7yGYl/6VF9LfESubxcybaK/C5eLRp0IEQMcDZ02NHS68dKOah4d4cnp+chO0vRbSYPeQBASTMhIwPEuJ969YyzaHF5IJRK89nUtqtscZzQRDaSindHAqNk19uTKbNzTiCWlubyFoMvlQ7xOOahFURj0xXsYvhi1O3w40uHEml1HQhSzr04uUPdPGYmhsWp0O31IM6nx0U8NeHFHDd6aOwadDi8vSrF4ciY0Cile+08dulw+xGrk+PB3IdGIJAOJvGSDKJ4g4oxxJnOOkCETTSZdIZPgyox4VLfakZmgQVOXB9VtDkwcmSAcHZFI4AvQHFrbqptGoeLEfgCAN0ixedQhoaE8loZPygk88P9GQktKeceZyAmDSKdMb2VkItUL+/J8zmYel8kIzChKQWaCFi3WS3ucM3NveAQp2UBi/vjhWLn9MMfovW/DftRb3Eg3qfDCTaMgJSRYUpqLZVt/xge767FydhGCNA05IcFHZccxZriJs394dmYB1AopKpttqLe4sHpnLbvGCVEfl2yuwIKJI1DVbIM5QQuTVoG139Tx1sHitBhsWzwBexu68UjY3B6ZqzY1LwlyqUTQ2XHM4jyjPtWXEh/h65vQbz2fqR/9vQcSjToRIgYwnG4v6jo8+HPPxMgkJUsJ4AqzCcl6JXSq80dRIQgJ0k1apJtOyh4/cl3OWU1EA6VopxA8ngD2n7BiyeYK1nvZbPXgta9r8VhpLp7c+vMFWQjONXrzHgYCFFtiINWowj8XTcAJqxvz3ynD/PFmntd15fbDWDDRzAo7PDEtD7XtTvxQZ0FqjBr5KTpsXTgeRy1OkHIpjCo5gjSNR6/LQaKeROEpanyJEHG6ON05p6/qeMcsTlb1DwAWTspg6ZNapZQnCLJoUib+su0QbihOZY06j59CXXvISSaVSLB4/cn2QkJDtWyuXKJWCb1aht//fS+MagWbZ6UnZXhiayWHpknKCcgIAt8f6UCingRNg1eChSkjE6le2BfhiLOdx2UyAkVDjRd9Dt2p+lKqQYVl0/PR1OViDY/544exBh1wUjDq/ilZeOrzKtRb3Lh3w37cd00mRiRo8dzsIrh8AbTY3FBICTzzzyrBufnhTw6yc/PCSRnsZ81WD7vXKEjRI06rxN76TpQWpmD1V7VotnpAyglsXThecJ1Iiw1RchmDjrleZK4aQUigJ4UZSGqF7JztDcLXt2arB+vLGthc0vOhfinUB/rrd4pGnQgRAxiVLQ7sP97NmWyZxT8zQYvL+6GMwZliIBtj/YFAgMLnlS2o73TyPHrlTTZYdx3Ba78dDQUhQXKMasBFGM8G0byHFEXj0wNNPJqUnpT1mp/A1Ery+Cks/awSK2cXQa+SweULQKOUId2kRUaijvO9S1H1TsTAw+lIjkfSujbuaeTkCz1y7UhOjhBDWZOENcPQ3P60qRz3T8nmjad6ixvVPUJDL91yGSuQ0mz1sI6TVTcW4dbL07Hq3yeVEJeW5uGPH+1n6XYrZxcJjtUgRXEM0/MtHHExoy996VCrDa/srMGvx6SxjsNEvUrwXSXqVezfRrUCGlKOu8OM8cWTM6EnCWxYMA4notQDDK9jF25cNVtDUdwvFk1Aq82DZ/55mPfdqlY7puYm4QuBKFNfBUAS9UpenuriyZlI1CvP/EGfAheSIdTfJQwiIRp1IkQMUAQCoeLOQspR6SYVEvUkfjxqOe91VS4VVDZb8edPD3IidOGR0l+MiEPREANI8uKcRoWM9oNN3axBxyiWNXS6MD4jrtccOTps4+DxU6BB46GNB9Hl8uG9eWORbhI3iyIGJk5HclyItiyRAM/NLgIAKGQEFn+4jzc+mKmbEZAYkx6LdXPHojEsWhN+PjOeogmkOH1BKKUhw626zY6MBB2e3x6K6DDn1LTZo0ZILqRwxMWMvvQlRiF4+bbDPbRLM/SkcM5kuEDajSWpLHOEafvFHTW4f0oW3H4KRrVCsA0iLJ+yNxqi0HfDa8D1ZSwI5aqlxWqQmajFgolmUDRASIDMRC3SYs8t6+V8OaUjo3KEBP1awiASF+duRISIMAzG0gkURaOyuRuJeiVWbq/iTLbpJhXuvjoTt721+5x4evrj3hssDjTbvLA4fEgyKJGfNPiMH6YAdvhix3gvl03Px2WpMZcULZCiaNg8Adw5wYwEnQIygsCynk3Eml11eHpmAYLBIJ6cno/GLhd2VrXhquwEpMWq2XpLDG0nTqtkqWGttv6psSji0kJfKJHh5yToSMhlQEu3Fx1OL1Ji1MhL1p8ybytaxKHT6WU/Z64fTusyqhW47Yp0TgTi3muy8Mi12Xjmn1Xssft+mYUgRWPR5AyUpMci3aTCT/WdSNSTSNAreDTvpdfn4fX/hNgamiib/QS9Ev/7XogyvvqrELWOMegYhAtahK8jiVFq0Q3WepsDCX2JXoUXY2eYOeN/N1YwmhXoCbORcgJpsWrBtmPUCty+bjeMagWvjRWzCqFWSlmnZTgNUS2Xwub146djnUgyKHl9JbIGXDgtP9mgQk6iTpiaaVSz+ZrJBhJBCtAoZPhlTiL8AQotdg/itSQoih4Q+5mzgVBU7pmZBTCqFTwF2/5ymgyuXZYIEWeAwVI6IXwDoiNlaOj0YMuB41hSmocjbQ68MWc0ul0+JOpJzF3304Ckx1AUjZ+bu1DV4sKjn55cAJZNy8e0guRBZdgxi2tkhO7KEXEYdYnleTGL095j7ZhakAqbx48ntlRylPNe2lGNJaW5ONRsBw3g/67Jwqtf1+CleitHhOHuqzLw0U8NAEKbkXNJsxFxcaIvFCahc56akY/hJg067F4cbrGjodOJa/OSezXsEnT8iEO6SYWmbg9++ybfsTY1Lwm5iyegzebFt0c6OPXFXviyGn+7rQRbF45Hh9OLeG2oFlyLLbSRbex2YuPeJlA0oFdKYdKRWLPrCDv35CbrYVBJ8fi0fFgcXiQbFHj11mLsP94Nig5Jx981MQPtNjfmjzdjaIwKiydnQKWQCgo7FafF8KhzgHAtuoslX/hCIjJ6lWwgcWNJKkiZBLuPWtBq8yJJr8Q780bjv7WhmnFSCRAMBpESQ3KiWSkxKhjUUqyYVQCVQga5VCJojLfbTyqcapRS/PXmUfi52YYgBTz/78N49LpcvD//crQ7vKwx9uXhNtyx4SeOATkySYvFkzPh9AVZ6jBTAy4QoARp+dMKhnD6V5pRje2HWqM6PZgajF0uH/v9Rqu7z4I9Aw1CkdlHwvIYGfSn02Tw7LBEiLiIIbQBeeTabIxOj8Pd/9jL8Y61RuHGDwR6zAmbE+32AGvQMfe25LMKDI9TszXOBgPCZbaZCN3TMwow6iKmXEaCcTS0273Ye6wdWUkx2FXTDq1Cyim+TsoJPDw1G212H6ugRsoJPFaai6ZuL1vS4N07xuLjPfXYtL+ZNfYLLkHZchFnh77Q2ITOefTTCo5oz+LJmahqtSE/JSbqtaQEeBGOP03NYYuIR15/mEmDn5vtnLk8vL7YgePdsMdrOQbosDgtjnU48PMJO6t0uWhyBlb1REa4yphFWL6tCr8ek4Z2u5dzX8/MLECCTo42u5+jannfL7Pw8NRsPLutimOoMXXrIteNga5IPFghFMk92m5DdauKVS5NN6lw91WZbD8g5QTSZhbgxyNtuK4oFd0uP2LUcrz/w1HMGp2O+k43JJKQE2DFrEI8GFYL7umZBXC4/WwfWTQ5A898UcUxKmvbHLzo3fP/5oqyMMXOS9JjseC9Mp6xH07LZ77z6KcVyEzQomioke1fde0OdlzcUJzKXjf8OkyB85e/qoFUIuEoIw8kRlJfEC0ym5WoYw3w/naaXBo7ExHnHX2hPLa2tZ6nuxnYCAQo7G/sZmsbub0BqJUytNtDnt3wSe+lr2rw3OyiAUuPOdHpxb7jXYIT2WCj2V3qMtvhjoY7J5hxTV4K5q7bjTsnmJEco8YDPQINQOj9Wlw+diPCHHty689YMbsIJ7rcKByqhzdIYVJOMmYWDwUpkyInUX/JGMgi+g99obFFOydctOfFHTXIT+ndqcDUoJw/3gwdKcWQGDXs3gAnAhd+fQDspv2G4lRIJIA3EMTj0/Lw8wkrpIQEy7cdQkoMCZcviGQDiUCQxpF2Bzz+IEvNomhh0aGqFjtuLknDMJOGZ1g+8slB/H3+5Xjkk72c46v+XY21t5Vg/e/GweUPnjLqcbGLYF0ohAt0tNu9uH3dbrw1dwzmvX2SeVNamIIln3ENpD9/chCLJ2di99EulhlxsMmBa3J8bGHxVTeNwpScROSnGFhj3OULYPbrJ4u6R/YpIcPqwY3l+PO1OWixezn1CykakEsl+GLRBHQ6vZBLCbh8QRyzOGFxejn9nflO5JofPiajiWox3y8tTGENOuazgcJI6iui5RXmJOkFxWX6A+JqKuKcoC+Ux01/vO483c3AhccTwJ7GLnj8QdxYksYqmZFyAn+5oVBw0jva4bygdVV6Q6tdWNhlsNLsLhWZbSFERjra7ScX5HqLk9c3o21Ca9vs+KisEbeBS7V5/sYiyGUEGrvcSDao+pTfJEIE0DcRhmjnRIr2eHzBU16ry+XDpr0hJcvnt1ehtDAFUgJYUpqL176uRXmTjb1+q80Do1rBUb1kotaf7m/CnHHDMO/K4bh5zQ8wqhW44xfDOCqVj5Xmwu7xs/cbvlmWSgBSLsWLO0LOPaHx1uHwCh6XEhIUpYmKshcajMHMGDgddu77kkjAM5B2HW6DXiXnURWzEnX4cMHlHMMg3Bj//kgHp62RiTqkm1RsfmU0w0qvlmPtf+tYpdTFkzMhlYB1BlS1cCPRf7mhEL//HzMnV3Tx5ExolFJOblzkmOxtfEoJ4XsTYiT1teTI/2/vTKPjqq5E/e3SPFqSZQ3Ilm0h2Xg2xhjDMzTBQBNiIAkkQB68DCRuFjh2miYJvAQI0CsJaQcaJ35kGchEN8QEWIF2EwJheJAXiDHxgA2ejYw8ydZozUOd96PuLaqkKqlKLtW9VdrfWnepdOsO+9TZZ9jn7LNPvAm3NdDU4tAz5LFAjTpFcYi+Pi//d99xevsMBsjJSGVaSS7bDrVaxltbyEqvu8/Ls9sOse7Gs2jt6mNGWb6/knCaUIFdfP71c9TNLsEIHFV99r06Hr5uPplpnrCbr/s6nIP1td8bekT4X36/NcgV7v6rZlNdkkNRTjrN7b0cae1SY08JyVD7KA51jb1mxyYzzUNOZsqQQRns5+w82sr6TQcHuR3ftWwmLW/u465lMzEGOnv7+d7lM7h9wEz2/Rs+4KYlVax+eRerr5nH18+vYnppHt9+ZmtQx7u+tYuc9BQMwn1XzvR1/Nt7/DOMuRmpFGank+IJHRV5Qm7oQCel+c57cig+vF5DdnoKK5dWU5qfGWRo5WakDFpr9tAX5/Pjlz4MWsP8u3cPcsmMUuYPMNQDDZycjNRBxpYdaKe2oTNsnb3veBvL5law9vW9FGan09nbz4zyfIyBg42D3ZrveG4byy+oGuRK+fPrz+T9Qy3MqRiHxyNBZfLZ9+pCBn/57du1ZKZ5OHNSQUQeSaO9RcCp4MTWCWrUKYpD7KlvpbHdF3DCX+EumwUba9l2qJWnN9WF3Kx2/aaDXHd2JUXZ6SypnuB4xRXInLJ8br2whrVv7PEv7j9zUiELJ6ubXaIROKp6pKWLLbUnuO/K2dz9wvaQm69PKc7hR5+bE7QGwl5LdPVZE4d1hbvr+e08csMCdh5tCyoT//rZ2Xx2XoUadoqfSDpL9jU1ty7hg6OtHG7uJDsthaaOHsDXQbz90unc+dz7/Oori8KOmtvPsQcoBm7gfP+GD3jm5nM52NjJZ372ln/tUjjXsq5eL7vrffvMrVxaHXZWb92b+/i3a+bxXm1T0PqqVUtr+Op5k6kszA4yWiePz+KbF9Vw2++3uNaTQxlshKx7cz/3XTmLtW/4DC1jGDQA9nFj+6DBhJUX1dDc2TPks219sV16u3q93PtfO/jdNxZT19zJ4aYO7l420x/FeGCdXT4uc5BuhoveGLjfnX2uoa2HFU9tDjKyAsttWX4ml84s43hbF8U5GXT19VNVnEPZuExmlOZHFLAnmi1HnCDerszay1IUh2ju7PN3XsFXGd27YQc/uWYeK5/aTFNHD1XFOfzihgW0d/siTtU1d3DV/ApqSnOZedo4Vxl0AFlZaVwxu4wpxdkca+2mND+DOWX5ZGWlOS2aEiUDZzoefHU/679xNr/96iKOneymsjCLR288i8b2Xgpy0qhtaMcD/OSaeeytP8l5p4/nu89u8zf+kbjCpad4BpWJwAX3imITSWfJ4xFqyvKYVJDF+0daaOzo5ddfXcTuo6309HuZVJTNLf9QzYm2bioLs4MGDga6dFUV57Dl4+aQxlp7d39QxzKcC7oxn8xe29d9YeHEkIbiTUuqaGrvDRlM4pH/uYCjJ7u4dEapf21OVloK1657h65eb1C03qVnlDCnosB1bcVYJZQRcvcLO/jt1xZxrLWbjFQZpGOh1jCveW0P65cvHvbZgcFH7HNdff1cPrucAyfaqT/Z6Y+qGRjV0hifh8VA3QwXvXGgemWmecjNTOWmJVXsPNpKaV4G8yYWkJrqGVRuTy/55PPM8nF81NDOex83MbM8j//+5vkcbws/yxXoUWLvnSoCx9u6XeOGGU/UqFMUh2ho7wnZQejs6fNHBjxw4iTpqanMm5RPv1cozkt3fTSyrKw0FiVQlEslNIGjqsdafYZZa7eXnj4vE/LSqW3swOMRHv/LfnbXt7FqaQ0l+Rkcbu5gzat7gyJkDuVqY5OZ5qGxvTdkmTja0jUm1zUqsSEzM5Wzp45n//E2Ll/zFtNKcrl+0WT/RuD2jPDZUwo53OzbP2tgBMsHvzifc6YUhTTWGgfU5aE2cra9LOyZEPu62y6ZFmYNHBRkp3HLhdX09Hv9QVl86+Z6uOv57bxozUZUTcjl7X0n/M+x9zcDOO/08a5tK8Yi4QP4GK6Ydxr7jw9edhFqDXNXr5eOAetBwz1bArLfdmH0eISpxTnUNbdTmp8Z5HVx31WzaW7vpqvPhHzejLJ8v8uovaautbMnKKLjqqU1ZKR5/FFY1725f1ivi2hcKe1Bl87eflYtreb1nfVcNrvcX+Yee2t/RG6Ybl2PN1LUqFNczbGjR5kybVbY7922aXik9PV5KQuzyevEwixWXzOP5o5uTnb3k5PupbGtlzMnF7nCnUAZO9izIR6B9w81U5idQXt3P51Wo7m7vo17ls3iqY21/rDX1SV5lI/Lu7HQ9AAAFbZJREFUpLwgm9Uv7wxaB7JqaQ1VxblMLc5m17GTQa5w9yybRUaqJ2SZKBun64GUkWN33Brau/n1V8+muaOXPq/hWxfX8Ju/+rYa+P4ftrP6mnmseGozK5dWD4rketvTW/jlVxYOcjt+4PNzqW1oD9JbeyPn9csX09HTT3Z6Cg3t3dx+6Rmsfnmnf/b6SEsXDW3dIXV+3sQCvvPsVn/H2TYGmzp6/J33wKARkQSPUZxnuHwKtRZ03sTQ68sGrpMM92zbRrEHLyoLswHfzN4/PfF3CrPTWfGpasryMznY1MFDr+ymqaOHtV9aEPJ5Hx5t5eZ/qKals4eOnn5yMlI42SVB++iV5Gf4ywlE5nURqSul12t4bdcxttW1+PfyW3VxDbc+uTmie20jriQvkwMNbax4cnOQEXnpjFIONnUkpKGnRp0SNcMZWhC77Qr6jRkyiqYbNg2Plp6eft4+cIL0VA/3XjmLe14IXlP30Cu7+NyCSTy9qY7d9W0sv6CKk919/vuTbWRJcS9er+FgYzsNbT2kiIfmzl4Ot3Ty1MaD3HJhNd19/Rxt7eTWi2r4pyfew2vgcHMnNy6ezOqXd4ZcB/LDP37Ar76yiE/PKqeyKJsjLV2My0rjpy/vpKfPcM8VswatqZulQXaUEWJ3APcca6M4N4O6pg6e3lRHU0cPq5bWcPMFVfzizf0caemivcdXz6Z6gjuytlvXoaYuTnb1suJT1XT1efEIFGSn8uOXagfNzK1aOs3v9uj1Gt4/1MwHh09w97JZ3Ldhh99YK8pOG6Tz9181m0fe2OMPnmG72y2/oIqc9FR+/dePBhlslYXZPHD1XL4bsE+ZrqVzH8MF+fF4hEtnlLJ++WKOtPhmjYdbXxbYJ3j0xoV8//n3/fp12yXT6PcaVlxUjTHws9f2sKCyMCgC55GWLjp7vXz/+e1Ben/fhh2DBjECBxdWfKraH+jqtotr6PdCRqqHmafl0ddnuGJeBUDQLHOg18XAvkxDe+jIrQMjXh5sbGfPsbagtaZ3LZsZcq1f/ckupozP8Q/qHG7uCiojdy2bGTS488BLH9Lb7x1UjtwQeCUSXGfUichlwMNACvCYMebHDoukDGA4Qwt0u4Jw9PV52VjbQP1Jn/vMtJJcVl8zD68xFGan02e8nFM1gXVv7uPahZUcf6c2KFR8tJGe1ABURoLXazhwop19x9toaO8J6nCuWlrD186byv95Yy//cukZ/PDFndx35Swmj8/CI3BaQZZ/a47AtT3VJXn86MUPOdLS5W+k7e0ivF7DT66ZT/1JXydm/TcWc7R17O0NqMQeuwMY6Pprd0zt2eXPL5jI43/ZT1a6r0s0tTjHP0MRKljEyotq/B3V/7hpEU0dPX5dF/HNVCyo/MSgG1hn29sWGANNnX08udF37+SiLGobO2lo72ZTbUtQOrp6vUwsyOKhP++hqaNnUKf+5Q+P8eAru/zlbeHkIs6rUtdLtzFckB87Lwe28YHrJwPvCaVfD1w9l4qCTPq98K31W4IMHcBf/wbO7IXa3qC2oZP2rl4evXEhf/uo0b/mzn7ehFzfNkVdvV5OK8zmwd9vDblNR6AhaHtdhJM7MBIohJ5tPtbaPWit6f0bPgi51m9Cbqb/PTctqfK7gw6878bFk3ninVqWza3wG3T2NfEIvBKrvpqrWkoRSQHWAp8GZgLXi8hMZ6VSlNix40gLzR19/oiW2w61suKpzXzn2W28c6CR+tZu1r7ui4K15rU9fGHhRDwCU63GO5x7wkcN7YPeZVeal695i+sf/RuXr3mLl3YcxTswTJWiBGDrzWd+9hZb61oGBS55+NU9NHT0sGxuBZ09ff6F/ndcNoPppXmD3NDWvr6XNa/uZfexkxxp6QrZSNtunouripk8Ppd5lYX84+xy5k0qVINOOSVCdQDXvLaHzy+YaK1l8u2Jdc8Vs3jszX0AHGruYOVFNWSmeUIGi7Dvz0zzUJCdxoNfnO9zV3t9L4+9tZ8zyvKpLApfZ9+/4QNOdvXT1t3PQ3/eTW1DJ2tf38vBpk4e/8t+2rr7yUwL1vvMNA/Ty/J46Np5vLjy/KCBPPsd9nPWvLqX5U9s4mBTR1x+YyU6Auu7qgm5QZ33cG38waaOkPeEuv67z26jKCeDCXkZfhd3m1CunrauhdK5c6rGk57q4bG39rP29b1Bga+yM1L9n+0Ntf/92vl+g86Wx+7LBHpdhJP7/qvmBMkTara53Wp3Aunq9VJTkjvo3hQP/veE25fPa/CX6aH2xxstYtlXc9tM3SJgrzFmP4CI/A64CvjAUakUJUYcaemivTt0hZTiwT9SbJ+rLMpmXFaaPzpUuIXQoTbkdHuoX8WdBOrNUI1goL529Xrp7O2nsiiLopzQa0XtyH/qEqbEk3AdQJFP1hstOb2Yzr4+dte3AdDZ088fthzipiVVVBZmha2v//WzszmjNJ+Z5ePCzryEq7NTPAR5YcAnAVbsgCoDtyUIF8UymnZBcTfR5uVQ1y+aMn5YV0971rCxvZuaktxBbodzKgo42NgeMtBVXVOH/zp7r9xw8sypGMenppX4B+nCXZeWIiFnJAOZXJQTso2xDcvAe/92oGHQdaHaJrtMnj05dDCk0VybGsu+mtuMugrg44D/64BzAi8QkeXAcoDKysr4SaYoETKUjpaPy+KjE+0hK415Ewt4+M+7g87VlOQGNeTRLIbXhl4Jx1A6OlBvwi28D9TXzDQPHzW0M39SQcg1I7Y70NULKtQFWImIWLX14TqAHsEfsbUkP4PKoiJ/h7AsP5PpZfnc9vQWvn5+Vcj7L6iZwHwrRDsQdnuFcHX20jNK6OrzBRwKnNlev+kga647k95+rz/QynDuWBokxRlGoz8abV4OdX2k+znaurvAa5hTMW7QtZVFOdSU5gYFQplanENxbjovrjw/6Jnh5Dl9Qm6Q10W460rzM4fdqmRqceh1ifYMZuC9ge8JF5X2iXdq/WVyVvm4iPbHiyWx7Ku5zagLVWMFzT8aY9YB6wAWLlyofmRjnHgGbYmUoXR0Vnk+Bxvbue2SaUE+5z/83Byy0sQ/UhxuZHa4RdaBaEOvhGMoHR3YCP7zxdN46M+f6OqqpTVMKspm/bsfse1Qq/9cTWmuv3EfriOhKMMRq7Y+VAfwvqtmMy4rjdoTbZw2LovKopxB+95VFuUMOYOxoLIwIp0OV2fPqSgAGPTddy+bEfW+ctG0C0rsGI3+aLR5GUnglUg3vw53rccjXDS9lKri3GHr9EjlPxWdjaaNCXyPPWiy7saFnOzuZdfRk/61foH9rXi3X7Hsq7nNqKsDAncjmggcdkgWJQFItKAtqakePj2rnJ1HWznjxrPo6vFSVpDBzDLfRuLDuR2MtDLThl6JlIGN4JMba1l341n09HnJy0yjJC8DjwdK86r5wsLJ5GemUZqf4e8YQ3QdCUUZTew6c/o3z+fDo63sPnbSH7L9gavncvbkopD1ZyQzGNG8P1ydHYsOpA6kJA/R5mW88j7SOj1SeU5V7lOVB2BGWT7nnT5+0Lvj3X7Fsq/mNqPuXaBGRKYCh4DrgC85K5KixJbUVA+zJxaE/C7SSiqWlauiBBKp3kwerwabkhh4PMLpJblMLc5hZnnojtxw959KJ2+o+2PVgdSBlOQh2rx0W95H00eJh9zh3uOW3yyWfTVXGXXGmD4RWQH8Cd+WBr80xuxwWCxFSVjcVtkriYHqjZKMqF4riuJGYlU3ucqoAzDGvAi86LQciqIoiqIoiqIoiYAYk7ixRkTkOFAb5uti4EQcxYk1Kr+zBMp/whhz2UgeMoSOuuH3cVoGp9+fTDKMho6CO36fWJAM6UjkNIxYP2FYHXUTiZhHKrMPJ3XUDXmgMjj//uFkGFZHE9qoGwoR2WSMWei0HCNF5XeW0ZbfDb+P0zI4/X6VYXjcLFs0JEM6kiENyU4i5pHK7DxuSI/K4Pz7YyGDZ/hLFEVRFEVRFEVRFLeiRp2iKIqiKIqiKEoCk8xG3TqnBThFVH5nGW353fD7OC2D0+8HlWE43CxbNCRDOpIhDclOIuaRyuw8bkiPyuD8++EUZUjaNXWKoiiKoiiKoihjgWSeqVMURVEURVEURUl61KhTFEVRFEVRFEVJYJLOqBORy0Rkl4jsFZE7nJYnFCLySxGpF5HtAeeKROQVEdlj/S0M+O5OKz27ROQfnZH6E0Rkkoi8LiIfisgOEVllnU+INIhIpohsFJGtlvz3WudHXf546adb8khEUkRks4hscOj9BSLyjIjstH6Lcx2Q4Z+tPNguIk9Z+ufqspII9WgoRqL3biWasqPEn2jbcadJxLIxkrbazbgpD5yuX6Jtm0dJhqja5hi9c3T7/8aYpDmAFGAfUAWkA1uBmU7LFULOC4AFwPaAcz8B7rA+3wE8YH2eaaUjA5hqpS/FYfnLgQXW5zxgtyVnQqQBECDX+pwG/A1YPNryx1M/3ZJHwG3Ak8AGJ/Qc+A3wdetzOlAQTxmACuAAkGX9/zTwFTeXlXjqqdN67+Yj0rKjh2P5E3E77oYjEcsGUbbVbj/clAdO1y/RtM2j9P6o2uYYvndU+/+OK3mMf6xzgT8F/H8ncKfTcoWRdcqATN0FlFufy4FdodIA/Ak412n5B6TleeCSREwDkA38HThntOV3Uj+dyCNgIvAqcFFAwxHP9+dblbYMOB9PGSqAj4EiIBXYAFzq5rKSSPVoBGkZUu/dekRTdvRwNJ+mEEE77sYj0coGEbTViXY4lQdO1y/Rts2jJENUbXOM3x1RvTGS/kCyuV/amWRTZ51LBEqNMUcArL8l1nlXp0lEpgBn4htBS5g0WK4HW4B64BVjTDzkd+R3cDCP/h34DuANOBfP91cBx4FfWW4mj4lITjxlMMYcAlYDB4EjQIsx5uV4yjAC3CDDKROh3ruVaMqO4h4SIo8SqWxE2VYnDA7ngdP1S7Rtc8wZQds8msSsP5BsRp2EOGfiLkVscW2aRCQXeBb4ljGmdahLQ5xzNA3GmH5jzHx8I1aLRGT2EJfHSv64/w5O5ZGILAPqjTHvRXpLLN9vkYrPzeERY8yZQDs+14a4yWD5xl+Fz3XiNCBHRG6IpwwjwA0ynBJR6L3rGEHZUZSISbSyEWVbnRA4mQcuqV+ibZtjzgjaZieIui1ONqOuDpgU8P9E4LBDskTLMREpB7D+1lvnXZkmEUnDVyn9pzHmOet0QqUBwBjTDLwBXMboyx/X38HhPPofwJUi8hHwO+AiEfmPOL7ffmadNbIL8Ay+hiSeMlwMHDDGHDfG9ALPAefFWYZocYMMIyZKvXcj0ZYdxT24Oo8SuWxE2Fa7HhfkgRvql2jb5tEg2rZ5NIlZfyDZjLp3gRoRmSoi6cB1wAsOyxQpLwBftj5/GZ+vtX3+OhHJEJGpQA2w0QH5/IiIAI8DHxpjHgz4KiHSICITRKTA+pyFr3DvZPTlj5t+Op1Hxpg7jTETjTFT8KXzNWPMDfF6vyXDUeBjEZlunVoKfBBPGfC5diwWkWwrT5YCH8ZZhmhJ2Hp0BHrvOkZQdhT34No8SsSyMYK22tW4IQ/cUL+MoG0eDaJtm0eT2PUHYr0A0OkDuBxfRKF9wPeclieMjE/h8+HtxWeJ3wSMx7dwdY/1tyjg+u9Z6dkFfNoF8i/BNwW8DdhiHZcnShqAucBmS/7twN3W+VGXP1766aY8Ai7kk8XYcX0/MB/YZP0OfwAKHZDhXnwdke3AE/giWbm6rCRCPRpG7qj13s1HpGVHD0fyJqp23OkjEcsGI2ir3Xy4LQ+crF+ibZtHSYao2uYYvXNU+/9i3aQoiqIoiqIoiqIkIMnmfqkoiqIoiqIoijKmUKNOURRFURRFURQlgVGjTlEURVEURVEUJYFRo05RFEVRFEVRFCWBUaNOURRFURRFURQlgVGjLgkQkX4R2SIiO0Rkq4jcJiIe67sLRcSIyE0B159pnbs94NztIrJTRLZbz/hfTqRFGTsMpbfW94tE5E0R2WXp5mMiku2kzMrYQ0TarL8eEVlj1ZHvi8i71t5BiMhHIlLsrKRKsiIiBSJyi9NyKEq0BLTz20XkvwL2HZwiItsHXPuDwH6pEj1q1CUHncaY+caYWcAl+PY9uSfg+/eBawP+vw7Yav8jIjdb9y0yxswGLgBk1KVWxjph9VZESoHfA981xkwHZgAvAXlOCauMea4FTgPmGmPmAJ8Dmp0VSRkjFABq1CmJiN3OzwYagVudFiiZUaMuyTDG1APLgRUiYhtmB4FMESm1zl0G/DHgtv8N3GKMabWe0WKM+U085VbGNiH09lbgN8aYt63vjTHmGWPMMSflVMY05cARY4wXwBhTZ4xpclgmZWzwY+B0a8bj30Tk29ZM8TYRuRf8Mx+2R8N2EflPEblYRP6fiOwRkUXWdT8QkSdE5DXr/DccTZkylngbqHBaiGRGjbokxBizH1/elgScfgb4AnAe8HegG0BE8oA8Y8y+eMupKIEM0NvZwHvOSqQoQTwNXGF1rH8qImc6LZAyZrgD2GeMmQ+8AtQAi4D5wFkicoF1XTXwMDAXOAP4ErAEuB3f4K3NXOAzwLnA3SJyWjwSoYxdRCQFWAq8EHDaHqjYIiJbgJudkS55UKMueRnoPvk0PqPueuCpAdeZeAmlKMOgbr+KKzHG1AHTgTsBL/CqiCx1ViplDHKpdWzGN0B7Bj4jD+CAMeZ9azZ5B/CqMcbgW4IxJeAZzxtjOo0xJ4DX8RmIijIaZFkGWwNQhG9Qwmaf5Zo53xqw+IUjEiYRatQlISJSBfQD9fY5Y8xRoBff2qVXA863Au3WPYriGAP0dgdwlrMSKUowxphuY8wfjTHfBn4IfNZpmZQxhwA/CugMVxtjHre+6w64zhvwvxdIDfhu4ECuDuwqo0WnZbBNBtLRNXWjihp1SYaITMA32vFza4QukLvxBZ7oH3D+R8BaEcm3npEvIstHX1pF8RFCb38OfFlEzgm45gYRKXNKRmVsIyILbDc1K0rrXKDWWamUMcJJPgkS9SfgayKSCyAiFSJSEvbO0FwlIpkiMh64EHg3ZpIqSgiMMS3ASuB2EUlzWp5kJXX4S5QEwJ7eTgP6gCeABwdeZIz5a5j7HwFygXdFpBffjN5PR0lWRbEJq7fGmGMich2w2uqweIE3geecElYZ85QAj4pIhvX/RnyDD4oyqhhjGqyAJ9vxBTl7EnjbioXWBtyAz8shUjYC/w1UAvcbYw7HWGRFGYQxZrOIbMUXgf0tp+VJRmTwZI6iKIqiKIqSbIjID4A2Y8xqp2VRFCW2qPuloiiKoiiKoihKAqMzdYqiKIqiKIqiKAmMztQpiqIoiqIoiqIkMGrUKYqiKIqiKIqiJDBq1CmKoiiKoiiKoiQwatQpiqIoiqIoiqIkMGrUKYqiKIqiKIqiJDD/HyH3U4acQryTAAAAAElFTkSuQmCC\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "sns.pairplot(data, y_vars=\"DMC\", x_vars=data.columns.values[:5])\n", - "sns.pairplot(data, y_vars=\"DMC\", x_vars=data.columns.values[5:10])\n", - "sns.pairplot(data, y_vars=\"DMC\", x_vars=data.columns.values[10:])\n", - "plt.plot()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Można wówczas zauważyć nieco interesujący związek ze zmienną DC - można zauważyć, że dane zdają się układać w odcinki." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.scatter(\n", - " x=data[[\"DC\"]], y=data[[\"DMC\"]])\n", - "plt.title(\"Porównanie zmiennych DC i DMC\")\n", - "plt.xlabel(\"DC\")\n", - "plt.ylabel(\"DMC\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Zdaje się również, że odcinki te są nachylone mniej więcej pod tym samym kotem do osi." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ax1 = sns.scatterplot(\n", - " data = data,\n", - " x='DC',\n", - " y='DMC',\n", - " hue='month',\n", - " hue_order = order_by_month\n", - ")\n", - "plt.title(\"Porównanie zmiennych DC i DMC w podziale na miesiące\")\n", - "ax1.legend(loc='center left', bbox_to_anchor=(1.25, 0.5), ncol=1)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Okazuje się, że zależność odcinkowa w pewnym stopniu pozostaje nawet jakby rozróżniać dane między miesiące, to wciąż pozostają częściowe zależności odcinkowe. Co więcej, miesiące letnie charakteryzują się większymi wartościami obydwu parametrów.\n", - "\n", - "Zależność pomiędzy DC i DMC może wynikać z ich definicji - DC jest ocenia wilgoci głębokich warstw organicznych, natomiast DMC ocenia wilgoci średnio głębokich warstw organicznych. Być może wilgoć może przenikać z jednej głębokości do innej przyczyniając się do regularności z wykresu\n", - "\n", - "Przeprowadzenie tego typu rozróżnienia dla zmiennych ISI i FFMC nie ujawnia żadnej nowej regularności regularności." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ax1 = sns.scatterplot(\n", - " data = data,\n", - " x=(100 - 1/data['ISI']),\n", - " y='FFMC',\n", - " hue='month',\n", - " hue_order = order_by_month\n", - ")\n", - "plt.title(\"Porównanie zmiennych ISI i FFMC w podziale na miesiące\")\n", - "ax1.legend(loc='center left', bbox_to_anchor=(1.25, 0.5), ncol=1)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Eksploracja automatyczna\n", - "\n", - "Na koniec pokażmy jakie wnioski możemy uzyskać korzystająć z eksploracji automatycznej." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [], - "source": [ - "from pandas_profiling import ProfileReport" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [], - "source": [ - "profile = ProfileReport(data, title=\"Pandas Profiling Report\")" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "d9580facebf34e1a87c1ae0a456d1eba", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Summarize dataset: 0%| | 0/27 [00:00\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
XYmonthdayFFMCDMCDCISItempRHwindrainareaexclude_not_fire
075marfri86.226.294.35.18.2516.70.00.0all data
174octtue90.635.4669.16.718.0330.90.00.0all data
274octsat90.643.7686.96.714.6331.30.00.0all data
386marfri91.733.377.59.08.3974.00.20.0all data
486marsun89.351.3102.29.611.4991.80.00.0all data
586augsun92.385.3488.014.722.2295.40.00.0all data
686augmon92.388.9495.68.524.1273.10.00.0all data
786augmon91.5145.4608.210.78.0862.20.00.0all data
886septue91.0129.5692.67.013.1635.40.00.0all data
975sepsat92.588.0698.67.122.8404.00.00.0all data
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50724augfri91.0166.9752.67.125.9413.60.00.00all data
50812augfri91.0166.9752.67.125.9413.60.00.00all data
50954augfri91.0166.9752.67.121.1717.61.42.17all data
51065augfri91.0166.9752.67.118.2625.40.00.43all data
51186augsun81.656.7665.61.927.8352.70.00.00all data
51243augsun81.656.7665.61.927.8322.70.06.44all data
51324augsun81.656.7665.61.921.9715.80.054.29all data
51474augsun81.656.7665.61.921.2706.70.011.16all data
51514augsat94.4146.0614.711.325.6424.00.00.00all data
51663novtue79.53.0106.71.111.8314.50.00.00all data
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XYmonthdayFFMCDMCDCISItempRHwindrainareaexclude_not_firecount
034augsun91.4142.4601.410.619.8395.40.00.00all data2
136junfri91.194.1232.17.119.2384.50.00.00all data2
243augwed92.1111.2654.19.620.4424.90.00.00all data2
344marsat91.735.880.87.817.0274.90.028.66all data2
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" - ], - "text/plain": [ - " X Y month day FFMC DMC DC ISI temp RH wind rain area \\\n", - "0 3 4 aug sun 91.4 142.4 601.4 10.6 19.8 39 5.4 0.0 0.00 \n", - "1 3 6 jun fri 91.1 94.1 232.1 7.1 19.2 38 4.5 0.0 0.00 \n", - "2 4 3 aug wed 92.1 111.2 654.1 9.6 20.4 42 4.9 0.0 0.00 \n", - "3 4 4 mar sat 91.7 35.8 80.8 7.8 17.0 27 4.9 0.0 28.66 \n", - "\n", - " exclude_not_fire count \n", - "0 all data 2 \n", - "1 all data 2 \n", - "2 all data 2 \n", - "3 all data 2 " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "66a6783cee3b47729fc3b1245b9c18af", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "VBox(children=(Tab(children=(Tab(children=(GridBox(children=(VBox(children=(GridspecLayout(children=(HTML(valu…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "profile.to_widgets()" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "296e61679cfb4cc1aeceb0a1d7114e46", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Render HTML: 0%| | 0/1 [00:00" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "profile.to_notebook_iframe()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Ten sposób automatycznej eskploracji pozwala na szybkie zapoznanie się z danymi od strony ich struktury. Pozwalają również na zaobserwowanie zależności między danymi w parach (również dzięki macierzy korelacji). Jednakże wszelkie te wyniki nie dają żadnej interpretacji, tylko statystyczne poszlaki zależności; wymagają zatem dodatkowej analizy.\n", - "\n", - "Panel interakcji pozwala na porównywanie tylko par danych, bez możliwości dodania np. rozróżnienia ze względu na miesiące występujące w zbiorze danych. Choć podane są wartości ekstremalne (a więc można mieć sugestię co do outlierów), nie można przeanalizować wyników bez nich bez modyfikowania zbioru danych (czyli ponownej analizy na nieco innym zbiorze).\n", - "\n", - "Pewną cechą tej automatyzacji jest również to, że aby zobacz raport, trzeba go całego wygenerować, niezależnie od tego, która zależność nas interesuje - zdaje się zatem, że jest to dobry pomysł na pierwsze zapoznanie się z danymi, ale niekoniecznie na gruntowną ich analizę. (Dla dużych zbiorów danych jest opcja zminimalizowania raportu, zapewne usprawniającego jego generowanie)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.3" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} From 78837021e0689a0aa4cc4ac34b1dd4a0b634c3ad Mon Sep 17 00:00:00 2001 From: Korigami <43794510+Korigami@users.noreply.github.com> Date: Tue, 30 Mar 2021 14:19:28 +0200 Subject: [PATCH 10/10] Delete Prace_domowe/Praca_domowa1/Grupa3/kurowski_kacper directory --- .../Grupa3/kurowski_kacper/.gitkeep | 1 - ...Grupa 3] Praca Domowa 1 Kacper Kurowski.pdf | Bin 538764 -> 0 bytes 2 files changed, 1 deletion(-) delete mode 100644 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