EDA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from collections import Counter\n",
    "from time import time\n",
    "from matplotlib.cm import get_cmap\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wiersze i kolumny:\t(11086, 572)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Activity</th>\n",
       "      <th>angle(X,gravityMean)</th>\n",
       "      <th>angle(Y,gravityMean)</th>\n",
       "      <th>angle(Z,gravityMean)</th>\n",
       "      <th>angle(tBodyAccJerkMean),gravityMean)</th>\n",
       "      <th>angle(tBodyAccMean,gravity)</th>\n",
       "      <th>angle(tBodyGyroJerkMean,gravityMean)</th>\n",
       "      <th>angle(tBodyGyroMean,gravityMean)</th>\n",
       "      <th>energy-mean()</th>\n",
       "      <th>fBodyAcc-bandsEnergy()-1,16</th>\n",
       "      <th>...</th>\n",
       "      <th>tGravityAccMag-energy()</th>\n",
       "      <th>tGravityAccMag-entropy()</th>\n",
       "      <th>tGravityAccMag-iqr()</th>\n",
       "      <th>tGravityAccMag-mad()</th>\n",
       "      <th>tGravityAccMag-max()</th>\n",
       "      <th>tGravityAccMag-mean()</th>\n",
       "      <th>tGravityAccMag-min()</th>\n",
       "      <th>tGravityAccMag-sma()</th>\n",
       "      <th>tGravityAccMag-std()</th>\n",
       "      <th>void()</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>STANDING</td>\n",
       "      <td>-1.574191</td>\n",
       "      <td>-0.805700</td>\n",
       "      <td>-2.453831</td>\n",
       "      <td>-1.861714</td>\n",
       "      <td>0.115517</td>\n",
       "      <td>-2.023369</td>\n",
       "      <td>3.125860</td>\n",
       "      <td>-9.474436</td>\n",
       "      <td>3.622600</td>\n",
       "      <td>...</td>\n",
       "      <td>5.049130</td>\n",
       "      <td>3.272281</td>\n",
       "      <td>5.103018</td>\n",
       "      <td>-0.823302</td>\n",
       "      <td>3.063681</td>\n",
       "      <td>-0.928676</td>\n",
       "      <td>-1.007695</td>\n",
       "      <td>3.094236</td>\n",
       "      <td>1.669987</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>WALKING_UPSTAIRS</td>\n",
       "      <td>-1.568669</td>\n",
       "      <td>-0.612620</td>\n",
       "      <td>-2.488338</td>\n",
       "      <td>-1.751117</td>\n",
       "      <td>0.218134</td>\n",
       "      <td>0.280294</td>\n",
       "      <td>7.953403</td>\n",
       "      <td>-0.679894</td>\n",
       "      <td>2.512880</td>\n",
       "      <td>...</td>\n",
       "      <td>4.565443</td>\n",
       "      <td>4.440779</td>\n",
       "      <td>3.288399</td>\n",
       "      <td>-2.689605</td>\n",
       "      <td>1.705341</td>\n",
       "      <td>-0.822617</td>\n",
       "      <td>-0.572410</td>\n",
       "      <td>-2.187890</td>\n",
       "      <td>-0.544652</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LAYING</td>\n",
       "      <td>-1.548333</td>\n",
       "      <td>-0.139628</td>\n",
       "      <td>-2.380889</td>\n",
       "      <td>-1.915239</td>\n",
       "      <td>0.067613</td>\n",
       "      <td>-0.887342</td>\n",
       "      <td>6.007361</td>\n",
       "      <td>-11.906904</td>\n",
       "      <td>3.621984</td>\n",
       "      <td>...</td>\n",
       "      <td>5.059609</td>\n",
       "      <td>2.296603</td>\n",
       "      <td>5.344174</td>\n",
       "      <td>-0.549843</td>\n",
       "      <td>3.272225</td>\n",
       "      <td>-0.940610</td>\n",
       "      <td>-1.031522</td>\n",
       "      <td>-2.071755</td>\n",
       "      <td>2.024442</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>WALKING</td>\n",
       "      <td>-1.574094</td>\n",
       "      <td>-0.793443</td>\n",
       "      <td>-2.449959</td>\n",
       "      <td>-1.842741</td>\n",
       "      <td>-0.195625</td>\n",
       "      <td>-0.950671</td>\n",
       "      <td>2.104353</td>\n",
       "      <td>-11.906121</td>\n",
       "      <td>3.355701</td>\n",
       "      <td>...</td>\n",
       "      <td>4.860758</td>\n",
       "      <td>4.177535</td>\n",
       "      <td>3.950012</td>\n",
       "      <td>-0.322642</td>\n",
       "      <td>2.366287</td>\n",
       "      <td>-0.866937</td>\n",
       "      <td>-0.696431</td>\n",
       "      <td>1.863375</td>\n",
       "      <td>0.550414</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LAYING</td>\n",
       "      <td>-1.548333</td>\n",
       "      <td>-0.139628</td>\n",
       "      <td>-2.380889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.067613</td>\n",
       "      <td>-0.887342</td>\n",
       "      <td>6.007361</td>\n",
       "      <td>-11.970485</td>\n",
       "      <td>3.621984</td>\n",
       "      <td>...</td>\n",
       "      <td>5.059609</td>\n",
       "      <td>2.296603</td>\n",
       "      <td>5.344174</td>\n",
       "      <td>-0.549843</td>\n",
       "      <td>3.272225</td>\n",
       "      <td>-0.940610</td>\n",
       "      <td>-1.031522</td>\n",
       "      <td>-2.102513</td>\n",
       "      <td>2.024442</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 572 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Activity  angle(X,gravityMean)  angle(Y,gravityMean)  \\\n",
       "0          STANDING             -1.574191             -0.805700   \n",
       "1  WALKING_UPSTAIRS             -1.568669             -0.612620   \n",
       "2            LAYING             -1.548333             -0.139628   \n",
       "3           WALKING             -1.574094             -0.793443   \n",
       "4            LAYING             -1.548333             -0.139628   \n",
       "\n",
       "   angle(Z,gravityMean)  angle(tBodyAccJerkMean),gravityMean)  \\\n",
       "0             -2.453831                             -1.861714   \n",
       "1             -2.488338                             -1.751117   \n",
       "2             -2.380889                             -1.915239   \n",
       "3             -2.449959                             -1.842741   \n",
       "4             -2.380889                                   NaN   \n",
       "\n",
       "   angle(tBodyAccMean,gravity)  angle(tBodyGyroJerkMean,gravityMean)  \\\n",
       "0                     0.115517                             -2.023369   \n",
       "1                     0.218134                              0.280294   \n",
       "2                     0.067613                             -0.887342   \n",
       "3                    -0.195625                             -0.950671   \n",
       "4                     0.067613                             -0.887342   \n",
       "\n",
       "   angle(tBodyGyroMean,gravityMean)  energy-mean()  \\\n",
       "0                          3.125860      -9.474436   \n",
       "1                          7.953403      -0.679894   \n",
       "2                          6.007361     -11.906904   \n",
       "3                          2.104353     -11.906121   \n",
       "4                          6.007361     -11.970485   \n",
       "\n",
       "   fBodyAcc-bandsEnergy()-1,16  ...  tGravityAccMag-energy()  \\\n",
       "0                     3.622600  ...                 5.049130   \n",
       "1                     2.512880  ...                 4.565443   \n",
       "2                     3.621984  ...                 5.059609   \n",
       "3                     3.355701  ...                 4.860758   \n",
       "4                     3.621984  ...                 5.059609   \n",
       "\n",
       "   tGravityAccMag-entropy()  tGravityAccMag-iqr()  tGravityAccMag-mad()  \\\n",
       "0                  3.272281              5.103018             -0.823302   \n",
       "1                  4.440779              3.288399             -2.689605   \n",
       "2                  2.296603              5.344174             -0.549843   \n",
       "3                  4.177535              3.950012             -0.322642   \n",
       "4                  2.296603              5.344174             -0.549843   \n",
       "\n",
       "   tGravityAccMag-max()  tGravityAccMag-mean()  tGravityAccMag-min()  \\\n",
       "0              3.063681              -0.928676             -1.007695   \n",
       "1              1.705341              -0.822617             -0.572410   \n",
       "2              3.272225              -0.940610             -1.031522   \n",
       "3              2.366287              -0.866937             -0.696431   \n",
       "4              3.272225              -0.940610             -1.031522   \n",
       "\n",
       "   tGravityAccMag-sma()  tGravityAccMag-std()  void()  \n",
       "0              3.094236              1.669987     1.0  \n",
       "1             -2.187890             -0.544652     2.0  \n",
       "2             -2.071755              2.024442     3.0  \n",
       "3              1.863375              0.550414     2.0  \n",
       "4             -2.102513              2.024442     3.0  \n",
       "\n",
       "[5 rows x 572 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Załadowanie zbioru danych\n",
    "train_df = pd.read_csv('final_train.csv', index_col=0)\n",
    "print('Wiersze i kolumny:\\t{}'.format(train_df.shape))\n",
    "train_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Activity</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>angle</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>energy</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fBodyAcc</th>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fBodyAccJerk</th>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fBodyAccMag</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fBodyBodyAccJerkMag</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fBodyBodyGyroJerkMag</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fBodyBodyGyroMag</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fBodyGyro</th>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shadow</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>subject</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tBodyAcc</th>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tBodyAccJerk</th>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tBodyAccJerkMag</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tBodyAccMag</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tBodyGyro</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tBodyGyroJerk</th>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tBodyGyroJerkMag</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tBodyGyroMag</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tGravityAcc</th>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tGravityAccMag</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>void</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      count\n",
       "Activity                  1\n",
       "angle                     7\n",
       "energy                    1\n",
       "fBodyAcc                 82\n",
       "fBodyAccJerk             79\n",
       "fBodyAccMag              13\n",
       "fBodyBodyAccJerkMag      13\n",
       "fBodyBodyGyroJerkMag     13\n",
       "fBodyBodyGyroMag         13\n",
       "fBodyGyro                79\n",
       "shadow                    1\n",
       "subject                   1\n",
       "tBodyAcc                 40\n",
       "tBodyAccJerk             40\n",
       "tBodyAccJerkMag          13\n",
       "tBodyAccMag              13\n",
       "tBodyGyro                43\n",
       "tBodyGyroJerk            40\n",
       "tBodyGyroJerkMag         13\n",
       "tBodyGyroMag             13\n",
       "tGravityAcc              40\n",
       "tGravityAccMag           13\n",
       "void                      1"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# splitowanie zmiennych po nazwach\n",
    "pd.DataFrame.from_dict(Counter([m.split('-')[0].split('(')[0] for m in train_df.columns]),orient='index').rename(columns={0:'count'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# utworzenie zmiennych przechowujących nazwy aktywności i ilość ich występowania\n",
    "aktywnosc_index = train_df['Activity'].groupby(train_df['Activity']).count().index\n",
    "aktywnosc_values = train_df['Activity'].groupby(train_df['Activity']).count().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Wykres typu barplot ukazujący częstość występowania danej aktywności\n",
    "plt.figure(figsize=(11, 7))\n",
    "sns.set(font_scale = 1.5,style='ticks')\n",
    "sns.barplot(y=aktywnosc_index, x=aktywnosc_values, palette=\"crest\",orient = 'h')\n",
    "plt.savefig(\"graphics/00_activity_quantity.png\", transparent=True, dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# sprawdzenie wartości null-owych i duplikatów w datasecie\n",
    "is_null = train_df.isna().sum().sum()\n",
    "is_duplicated = sum(train_df.duplicated())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ilość wartości NULL w zbiorze danych: 32636\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print('Ilość wartości NULL w zbiorze danych: {}\\n'.format(is_null))\n",
    "#train_df = train_df.dropna(how='any',axis=0) \n",
    "#print(train_df.count())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ilość danych powtarzających się w zbiorze: 111\n"
     ]
    }
   ],
   "source": [
    "print('Ilość danych powtarzających się w zbiorze: {}'.format(is_duplicated))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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sglvLmjVrZtTv2rVrl8XW2ueVLVs2xo0bZ7GyLlOmTIwdO9b47BYuXGjWH78dtGTJkvTu3TvBuR0cHPjiiy8ACA8PN2qnJaRly5bGuVIq/jPInz+/xXUA5M2blx49etCpUyfatm2b6u/hkz744IME79OyZcvSuXNnAG7evElwcHCy5lu5cqXx79aoUaMstu/G6927t3EPzp0716zvdbjPREQk7VGCS0RE5AXZvn278fPT6vkAtG7dOsHjihUrBsDZs2cZOnSoWQHleI0aNWLgwIG0adPGrN7Sli1bALC1tX1qQe+uXbuyfv16Dh8+nGDCJCEZM2Zk6dKl7N27l0mTJj11bK5cuQAs6kX924YNGxg0aBCxsbG4uro+V3ILoGbNmmTPnh2I+6P739atW2fE9GTxaQcHB8qVKwfAzp07zY6JT3i5urpSrVo1AE6fPs2dO3eMMX/++afxe3zx+3+zsbFJtIh8tmzZjOTUw4cPzfriE2cODg7UrVs3wePj54j/zENDQzlx4oTRF39PLVmyhNmzZ3P//n2L4z/99FN69+5tdt9ER0cb92aFChUSTZABTJo0iW3btrFly5ZnerjA0zRs2ND4XP/trbfeomLFikDc9yg6OhqIS2YePnwYgCpVqjw1pooVKxoPJdizZ0+i4/69dTQl4j+D7du38/3333P79m2LMW3btqV///60bNky1d/DJ8UnuBMSv9UPLL8LiYlPGtvb21O2bNlEx9nY2ODl5QXAuXPnjAT463KfiYhI2qMaXCIiIi/I6dOngbiVJU5OTk8d++Qfy3///bfxc5s2bViyZAkPHz5k8eLFLF68mJIlS1K1alWqVq1K5cqVEywsD3FFryHuj+kMGTIkem4HB4dEV1kkR/wqlvDwcEJCQrh06RLnzp3j1KlTHDhwgGvXrgE8dYXF33//Td++fY26VXZ2dgmu2kgJOzs7fH19+fXXXzl27BgXLlzgrbfeMvpXrFgBxK1YKlWqlNmxNWvW5NChQ/z111+EhYUZCZXdu3cDcUmSt99+2xi/d+9eo37Ztm3bAMiaNSvu7u4JxpYzZ84Ei6DHy5QpE2FhYUaCBuL+8D9//jwAbm5uSRbsL1euHPPnzwfi3t/4J2V26dKF3r17ExUVxejRoxk/fjzly5fH09MTLy8vypYtm+DcoaGhRsItqScspnbdrSc9+b4nxMXFhT/++IMHDx5w8+ZN8ufPz4kTJ4z779dff+XXX39N1rkuX76caN/z1HTq2LEjW7duJTo6munTpxMQEICLi4vxva5YsWKCK7tSW8aMGZ/6b1PBggXJmjUr9+7dM/t36Wnik6n379/H2dk52bFcvnwZR0fH1+Y+ExGRtEcruERERF6Q+OLlOXLkSHJ1Qc6cOS2Og7htZDNmzDBWfEBc4mzOnDl07doVDw8PunXrZqyaeFL8qpDEVrukhuvXr/PNN99Qp04dKlSogK+vL5988gkTJkxg9erVXLt2LVnbuG7evElUVJTxR318we/n9eTKrFWrVhk/X758mYMHDwIkWEi8Zs2aQNx2w/hVPJGRkRw4cAAADw8P8uXLZzz18sltivEJrmrVqhlF7/8tsaRkvPj75cmk4N27d43fn7xfEhO/ci7+2HgNGzZk1KhRxiqx6Oho9u/fz+TJk2nVqhVVq1Zl8ODBFtsj47fVwYu9p5Ly5EMYEvJksjY+5n/++eeZzvXvJwDGs7W1fa4EVMWKFfnxxx/JmzcvEHef/fnnnwQEBODv74+Hhwe9e/c2e0rji5AjR44kv585cuQAzP9deprnfa9fl/tMRETSHq3gEhEReUFSUhPmyRpJ//6Ds0KFCqxZs4a9e/fy+++/s337di5dugTEJV22bNnCli1baNKkiVkNoidX/7wI//vf/+jZsyfh4eFGW+bMmSlevDglSpTAzc2NqlWr8umnnxqr2Z6mdOnSfP/993zwwQf8888/TJw4ER8fn+dapeHi4kKpUqU4efIkq1at4rPPPgP+b/WWjY2NRZ0piFvVlT9/fq5evcquXbuoX78+Bw4c4PHjx9ja2hqriDw8PLh06ZKR4Lpz5w5//vknkPDTE59HSmsMxa+GAywSrM2bN6dRo0Zs3ryZ4OBgdu7caSQwwsLCWLp0KcuXL2fo0KHG9tkn53uV4mulJebJOOMTjE+2de/ePdlPBEws+ZMa2+Fq1aqFt7c327dvZ9OmTezYscPYphceHs7atWtZu3YtXbt2pU+fPime/8l/U55H/H2X3IRe/L87zs7OjB07NtnnKViwIPD63GciIpL2KMElIiLygsSvkPnnn38wmUxP/aP4yVULCRUet7a2xtPTE09PTwBCQkLYvXs3W7ZsYdu2bURHR7Ny5Uq8vLyMujnZsmUjNDQ02SsvUiI0NJQ+ffoQHh6Ora0tXbp0oVGjRhQrVsziOp9MgCWmUKFCzJ49m+zZszNw4EAGDBhAeHg4w4YNY/bs2c8Va7NmzRg9ejQXL17kr7/+wtXVlXXr1gFxq6wSWw1Vo0YNFixYYNTdil/J5ebmZqzAqlKlCosXL+bMmTPcvn2b7du3YzKZsLGxoXr16s8V9789WY8soZpN//bkmITuqYwZM9KoUSMaNWqEyWTi5MmT7Ny5k40bN3LkyBFiYmIYNWoU1apVo1ChQmZzvIh7KrmSOveTK4hy584NmF9/hgwZKF269AuJLaVsbW3x8fExkqFnz55l9+7dbNq0iT179mAymfjpp5+oXr26sd31ye/X05KeDx48SPL8T67sS0x8PbnkrqbKnj07oaGhREREPNP7/LrcZyIikvZoi6KIiMgLEl9/Jjw8PMkVTEeOHDF+fnI74oMHDzh69KhFLaCCBQvy/vvvM3XqVLMi709uVSxRogQA58+ff2qB91OnTlG1alVatmzJxo0bk74w4oq2xxcn79atGz169KB48eIWya3IyEiz5F1iihQpYvwB/e677xqJvN27dz/1SXbJ0aRJE2MlT3BwMBcvXjSeVJnQ9sR48U+Wu3z5MpcvX+aPP/4AMCsO/+TPe/fuNbYnuru7P1eB/ITY2dkZ98aff/6Z5Aqd+KLqYH5P3bp1i3379pkVl7eysqJ06dJ06tSJRYsW4e/vD5gX/C5YsKBRy+3f2xf/bd68efj4+NCuXTujFlxqOXny5FP7jx07BsQlt+KTl0/WmXryfUlIZGQkP/74I4sXL+bQoUPPF2wiwsLCOHjwIDdv3jRrL168OG3btmX27NkMHjzYaI9/YARgVh/t0aNHiZ7j6tWrScbx8OHDp447e/askSiLr+GWlJIlSwJw8eJFs4cvJGTNmjXMmTOHTZs2GYnw1+U+ExGRtEcJLhERkRfE29vb+Dn+sfeJWbhwofFz/JPFrl27RsWKFXn//feZPHlyosdWq1bN2EoVERFhtFetWhWI+4N9w4YNiR6/bds2bt++zeHDh7G3t39qnPEuXrxo/FymTJlEx23YsMGIKSVbJr/88kujCPu4ceMsEgGQ/G1iDg4O1KhRA4BNmzYRHBwMxK00iU9iJaRKlSpkzJgRgM2bN3P06FEgbltivFy5chmJxJ07dxpPmkvt7Ynx4u+N27dv8/vvvyc67u7du8YqtezZsxvJiRUrVuDl5UW7du2eek/Ev1/wf0+/tLW1NVYRPfnwgIRs3ryZK1eucOTIkSRrZqXU6tWrE93GdubMGSNZXKdOHeMecXR0NBIvO3bseGrx+JUrVzJ58mSGDh3KokWLUjV2gP379+Ph4cEHH3zAggULEh335Gfw5Pf6ycRpQk9VhbjPLP6BCElZu3Zton1Lliwxfo5/amhS4v/dM5lMZv+u/dv9+/cZNmwY33zzDf379zc+q9S4z/RERRGR/yYluERERF4QHx8f4xH38+fPTzQhMWXKFKOGk6enp7GtJ1++fMbT/datW5foapI1a9YYq3nc3NyM9ubNmxsrIcaPH5/gSo1Lly4xffp0AAoXLmyWvHma+MLTEFeLKyFHjx7l66+/Nn5/2iqyfytSpAjdu3cH4opPjxgxwmLMkzWBktoGGV9s/tSpU0aysWHDhk+tK5Q+fXpjhdbMmTOJiooiffr0VKhQwWxc/JhVq1YZW75eVIKrffv2Rg2qr776yniq4pMiIyPp37+/UbS7Q4cOxqofLy8vYzXbtGnTEi0I/mRB/icTmO3atQPi6iQNHjw4wc907dq17NixA4BGjRolWVA/pc6fP8/3339v0f7gwQM+//xzTCYTtra2tG3b1qz/ww8/BCAqKoo+ffokWED+/PnzjB8/HohLksRfb2oqW7assbJs3rx5ZsniJz35GTz5vX5yNdqTKymf9O233xIaGpqseKZMmcLx48ct2nft2sXcuXONc8YnzJPy/vvvG09AnTZtWoKJttjYWAYOHGg8LbF58+ZGMhme/z6L/14nZ3u0iIi8OVSDS0RE5AVJly4d48aNo23btkRFRdGjRw+aNGlC/fr1yZkzJ1euXGHJkiXGH2k5cuSwKMrcs2dPunfvTmRkJP7+/rRq1YrKlSuTK1cubt26xf/+9z+WLl0KxK1Uii8IHv/74MGDGT58ODdu3KBZs2Z8+OGHuLu7ExUVxeHDh5kxYwYPHz7E2tqaL774IllPPASoX78+P/30EyaTifnz5/Po0SPq1atHjhw5uHHjBsHBwaxZs4aoqCjjmAcPHiRZi+xJnTp1Ys2aNZw+fZrg4GDWrl1Lw4YNjf4nV2xMnTqVjh07EhsbS/ny5S3mqlGjBjlz5uT27dvGVqanbU+MV6tWLbZs2cL169cBKF++vLGyLF6VKlX47bffjFU2Tk5Oz1UY/2kKFy5Mv379GDNmDKGhobz33nu0a9cOT09PMmTIwKlTp5g9ezbnzp0D4rZKdu3a1Tg+V65ctGvXjpkzZxISEkKTJk3o0KEDpUqVInPmzFy7do1ly5YZScsqVaoYq2kg7umSjRs3ZvXq1ezatQs/Pz86dOiAk5MTd+7cYcuWLcaqHwcHB3r37v1C3oeff/6ZM2fO0KJFC3LmzMmpU6cICAgwVmZ17tzZWFkXz8/Pj40bN7J161aOHj2Kr68v/v7+lC1b1nhC5pw5c8wSgy4uLqkeu52dHR9//DFfffUVd+/e5f3336dt27aUK1eObNmycfPmTTZs2MCaNWuAuO2lT973+fPnp3Llyuzbt48rV67Qpk0bOnfuTKFChbhy5QqLFi1iz549FC5c2HgYRWJsbW2JiIigTZs2dOzYEU9PT2JiYti8eTPz5s0jOjoaOzs7xo4dm+zvbdasWfnqq6/o3bs3kZGRdOrUiffee4/atWuTNWtWLly4wK+//spff/0FxG1JjH/4Q7znvc9y585NSEgI27dvZ/369eTPnx9HR0ccHR2TdQ0iIpI2KcElIiLyApUvX55ffvmF3r17c+fOHZYvX87y5cstxrm6uvL9999b/AHm4+ND//79+e6773j8+DGzZ89OsOh63rx5mTp1qkUh6JYtW/L48WPGjRtHWFhYgitfMmTIwFdffWW2pTIppUuXplevXnz//feYTCaCgoIICgqyGFejRg0cHR1ZtGgRUVFRXLx4kbfeeitZ57C1teXLL7+kTZs2mEwmvv76azw9PY3VY1WrViVTpkyEh4ezbt061q1bh62tLQcPHrRYmWVjY0OTJk2YNWsWEFfrqGzZsknGULNmTbPfE1rhVrlyZaytrY1VdC9q9Va8Dz/8ECsrK7799lsePnzI9OnTjVV4T/L19eXLL780q9kE0Lt3b65cucKGDRu4efOmsWLp3ypWrGhW3y3e6NGjsba2ZuXKlZw+fZqhQ4dajMmfPz9Tp05N9e2JEJeY3LFjh/H00H/75JNP6NGjh0W7lZUVP/zwA0OGDGH16tVcv36dMWPGJHiONm3aMGDAgFSP/cn54xM9d+/eZcqUKQmOK1GiBAEBAcaqu3hfffUV7du358aNG5w6dYp+/fqZ9VeoUIF+/frRpk2bp8bh4OBAt27d+Oqrr/jxxx/58ccfzfqzZcvGpEmTUpzoa9iwIdHR0QwfPpxHjx4RGBiY4DbtkiVLMm3atATr1T3PffbOO+8wc+ZMwsPD6dmzJ5D4fSEiIm8OJbhEREResCpVqvD7778zf/58tmzZwrlz53j48CF58uTBycmJpk2bUqdOHYs/YuN16tQJb29vFixYwIEDB7h69SoRERFkz56d4sWLU7t2bVq0aGG2xedJHTp0oGbNmvz666/s3LmT69evExMTQ758+ahWrRodOnR4phVH3bp1o2zZsvz6668cPXqUsLAwbG1tyZ07Ny4uLvj5+VGjRg12795t1DJat26dsfUwOSpWrEiLFi0IDAzk9u3bjBo1im+//RaIW8E1e/Zsvv/+e/78808iIiLInTs3165dM7aGPqlhw4ZGgiv+SZNJcXR0xMXFxdjClVCCK1u2bJQuXdpYkfKiE1wA/v7+1K5dm99++41du3Zx5coVYmNjyZs3LxUqVKB58+ZUrFgxwWPt7OyYNGkSW7ZsYfny5fz555+EhoZiMpnImTMnZcuWpUGDBtSvXz/BVTt2dnaMHz+e5s2bs2jRIg4ePMitW7ewsbGhWLFivPPOO7Rp08bYppbaihUrxueff860adMIDg4mNDTUuG5/f/+nJmMyZMjAhAkTaNWqFUuXLuXAgQOEhoYSExND7ty5cXd3p2XLlom+d6nFysqKoUOHUr9+fRYvXszhw4e5ceMG0dHR5MiRg1KlSvHOO+/QrFkzY0vqk9566y2jQPvGjRu5dOkSNjY2FC9enCZNmtCqVSvOnj2brFhat25NyZIl+eWXXzh8+DCPHj2iQIEC+Pj48NFHH+Hg4PBM19ikSROqVq3KvHnz2L59O5cuXeLhw4dkyZKFUqVK0aBBA/z8/BLdJvw891nv3r2xs7Nj9erV3Lhxg8yZMye4lVNERN4sVqanPV9YRERE5A0xf/58vvzyS6ytrdm6dau2K6Uhe/fupX379gD07duXLl26vOKIpFatWly9epXixYs/tVC9iIjIy6Ii8yIiIvKfEL+F0tvbW8ktkef0+PFjAIuadCIiIq+KElwiIiLyxgsKCuLYsWMAZoX4RSTl7t+/bzyBM3fu3K84GhERkTiqwSUiIiJvpD59+pAxY0ZCQ0PZvn07EFfM/9+F40UkeVauXInJZGLdunXEVzkpU6bMK45KREQkjhJcIiIi8kYKCQnhyJEjxu+ZM2dm9OjRCRZOF5GnM5lMjBw50qxYe9asWXn//fdfYVQiIiL/RwmuVPb48WP+/PNPcufObfFYbhEREXl5XF1dOXPmDAAuLi507tyZzJkzExIS8oojk5QKDQ01fr57964+w1cgNDSUzJkz8+jRI+zs7HB1daVz587ExMTo8xARkZciJiaG0NBQypQpQ4YMGSz609xTFE+cOEHz5s0JDg4mb968CY755ptv+O2334xHesc7duwY48aN488//yRz5sz4+fnx2WefmT2W/cKFC4wZM4b9+/eTLl066tevT//+/ZP9qOv9+/fTpk2bZ79AERERERERERFJ0Lx583B3d7doT1MruM6ePUvXrl2Jjo5OdMwff/zB3LlzsbY2r59/8eJF/P39qVChAhMnTuTs2bN8//33PHjwgOHDhwNx/49ghw4dyJ07N2PHjuX27duMHz+e69ev89NPPyUrxvhCm/PmzUs0ASciIiIiIiIiIsl3/fp12rRpk+gDTtJEgis6OprAwEAmTJhgttrq3x4+fMigQYNwdHQ0W8oOEBAQgL29PVOnTsXOzo4aNWqQIUMGvv76a7p27YqjoyPz5s3j3r17LF++nBw5cgDg6OhIly5dOHLkCOXKlUsy1vhtiXnz5qVgwYLPcdUiIiIiIiIiIvKkxMpBWSfY+po5cOAA3377LR07dqRfv36Jjhs3bhy5cuXCz8/Pom/nzp3UqlULOzs7o61+/frExMSwY8cOY0ylSpWM5BaAt7c3mTNnZtu2bal4RSIiIiIiIiIiklrSRIKrePHibNq0iU8//TTRTN3OnTtZsWIFo0ePttie+OjRI65du0bRokXN2h0cHMiSJQvnz58H4Ny5cxZj0qVLR8GCBY0xIiIiIiIiIiLyekkTWxRz5cr11P779+8zZMgQevToYZGgiu8HEiwUnzlzZh48eGCMS2qMiIiIiIiIiIi8XtLECq6kfPPNN+TNmxd/f/8E+5N6UOS/V3w96xgREREREREREXn50sQKrqfZsmULa9asYenSpcTGxhoviCtOb21tbazKevjwocXxDx48wN7eHohb4ZXYmPz587/AqxARERERERERkWeV5hNcGzZsICIigsaNG1v0ubq68umnn/LZZ5/h6OjIxYsXzfpv377Nw4cPjW2NRYsWtRgTExNDSEgI9erVS/XY7927x82bN4mKikr1uUXk9WFra0uePHnImjXrqw5FRERERETkjZTmE1yffvopbdq0MWtbtGgRS5cuJTAwkDx58gDg5eXFli1b+Pzzz40nKW7YsIF06dJRuXJlY8zMmTMJCwsje/bsAOzYsYPw8HCqVq2aqnHfu3ePGzduUKBAATJmzIiVlVWqzi8irweTycSjR4+4cuUKgJJcIiIiIiIiL0CaT3AVLFiQggULmrVt3boVADc3N6OtU6dOrFmzhi5dutChQwcuXLjAd999R4sWLYzth61bt+a3337D39+fTz75hLCwMMaPH0/16tV5++23UzXumzdvUqBAATJlypSq84rI68XKyopMmTJRoEABrl69qgSXiIiIiIjIC/CfqZxevHhxZs6cSXh4OD169GDWrFl8+OGHDBkyxBjj4ODA3LlzyZ49O/369eP777+nfv36fP/996keT1RUFBkzZkz1eUXk9ZQxY0ZtRxYREREREXlBrExJPWJQUiQkJITatWsTHBxssbLsSSdOnKB06dIvMTIRedX0vRcREREREXk2SeVb/jMruERERERERERE5M2kBJeIiIiIiIiIiKRpSnCJ/MuePXtwdnbGw8ODyMjIZ57n9u3bhIeHG78PHDgQZ2fnFM0xefJknJ2dCQkJMdpiY2PNfhcRERERERH5r1OCS+RfVq1aRaZMmQgLC2Pz5s3PNMe2bduoX78+d+7cMdpatmzJuHHjUjRP3bp1GTduHA4ODgA8ePCAFi1asGzZsmeKS0RERERERORNpASXyBMiIyPZuHEjTZs2xd7e/pkTSUePHuXevXtmbRUqVKBp06YpmqdUqVI0bdqUTJkyARAWFsaxY8eeKSYRERERERGRN5XNqw5A5HWybds27t27h4eHB2FhYfz++++EhoaSO3fuVx2aiIiIiIiIiCRCK7hEnrBq1SqsrKyoVKkSdevWJTo6mhUrVliMO3LkCJ07d8bd3R0PDw+6dOnCqVOngLhaWz/++CMAtWvXpl27dkZ7fA2utWvX4uzszMaNGy3mbteuHXXq1AHMa3Dt3buX2rVrA/Djjz/i7OzMyZMnKVu2LD179rSYZ8GCBTg7O3P69OlUeGdEREREREREXl9KcIn8fw8ePGDr1q2UL1+eXLlyUaNGDezs7Fi+fLnZuP3799OmTRvOnj1Lp06d6N69O2fOnKF9+/aEhITQsmVL6tatC8CgQYPo1q2bxbl8fHzInDkz69atM2u/efMm+/fvp3HjxhbHFC9enEGDBgH/V5urcOHC1KhRg23btvHo0SOz8WvWrMHZ2ZmSJUs+z9siIiIiIiIi8tpTgkvk/9uwYQMRERG88847AGTJkoWqVaty+vRpjh49aowbO3Ys2bNnZ+nSpXTr1g1/f39mzJjBvXv3mD9/PhUqVDBWatWpUwcvLy+Lc2XIkIG6deuydetWHj9+bLSvX7+e2NhYfH19LY7JlSuXsbLL2dnZqM3l6+vLo0eP2LJlizH2xo0bHDhwIMFEmYiIiIiIiMibRgkukf9v9erVAMbqqyd/DgoKAuD27dscPXoUX19fcuTIYYwrWrQoS5cupXPnzsk+n6+vL+Hh4Wzbts1oW7t2La6urhQvXjzZ89SsWRN7e3vWr19vtK1btw6TyUSjRo2SPY+IiIiIiIhIWqUElwhxWwP37NnDW2+9hZWVFSEhIYSEhFCqVCmsrKxYu3YtkZGRXLlyBYAiRYpYzOHi4mKW9EqKp6cnuXLlMhJTV69e5fDhwyledWVnZ8c777zDtm3bCA8PB+K2J1aoUIECBQqkaC4RERERERGRtEhPURQhbuVUbGwsFy5cMAq5P+nu3bts2rSJ/PnzA2BlZfXc50yXLh0NGjRg6dKlPH78mHXr1mFlZfVMq658fX1ZunQpW7duxc3NjaNHjzJ8+PDnjlFEREREREQkLVCCS4T/e3rimDFjyJIli1nfyZMnmTx5MsuWLePrr78G4NKlSxZzjB8/nmzZstGlS5dkn7dJkyb8+uuv7Ny5k3Xr1lG5cmUcHR1THL+Hhwe5c+cmODiY0NBQbGxsaNCgQYrnEREREREREUmLlOCS/7zz58/z559/4uHhwbvvvmvRX6NGDRYuXMjOnTsBKFWqFGvWrKF79+5GMuzy5cvMnTuXDz74AABr67jdvyaT6annLlu2LEWKFGHRokUcO3aMUaNGPXV8unTpAIiNjTVrt7a2plGjRixfvpw7d+5QpUoVHBwckr54ERERERERSVJkdBR2NrZJtsmroxpc8p8XX1y+efPmCfbb2try3nvvERMTw4oVKxg0aBC3bt3ivffe45dffmHmzJl06NCBrFmzGkXm45NLv/zyC8HBwU89v6+vL1u3bsXOzo569eo9dWz27NmxtrYmODiYxYsXc/fuXaOvcePGhIWFsWvXrgSfwigiIiIiIiLPxs7GFv9ZPc1eSm69XpTgkv+81atXY29vzzvvvJPomBYtWmBtbc2yZcuoUqUKc+bMIW/evEyZMoWAgABcXV1ZsGABuXPnBqBRo0ZUrVqVoKAgvv3226eePz4ZFf80xKfJmDEjvXv35saNG3z99decPHnS6HNzc+Ott94iffr01KlTJ7mXLyIiIiIiIpLmWZmS2kMlKRISEkLt2rUJDg6mYMGCiY47ceIEpUuXfomRyX9BgwYNcHZ2ZuLEia86FEmAvvciIiIiImmX/6yeZr/P/vCHVxTJf1NS+Rat4BJ5Q+zbt49z587h5+f3qkMRERERERERealUZF4kjVu+fDlbtmxh586dlCpVimrVqr3qkEREREREREReKq3gEknj0qVLx//+9z8KFy7M999/j5WV1asOSUREREREROSl0goukTTO19dXT00UERERERGR/zSt4BIRERERERERkTRNCS4REREREREREUnTlOASEREREREREZE0TQkuERERERERERFJ05TgEhERERERERGRNE0JLhERERERERERSdOU4BIRERERERERkTRNCa7XTGRUzKsO4bljOHXqFL1798bLy4syZcrg7e1Nr169OHnyJACTJ0/G2dn5qS8fHx+zOXv06IGzszMLFy5M8Jzt2rXD1dWVEydOJNjv4uLC5MmTjd99fHzMzufi4kLlypVp3749mzZtSnB+f39/4/f4a5g3b16C5/P396ddu3YW7VeuXGHs2LE0aNCAChUq8Pbbb/P+++/z66+/EhUVleBcIiIiIiIiIvJ0Nq86ADFnZ5uO1p8nnDR5WeaPa/PMx548eZIPPviAt99+m2HDhuHg4MD169eZO3cuLVq0YO7cubz//vtUq1bNOGbq1KmcOnWKH374wWizs7Mzfv7nn3/YvHkzTk5OBAYG0qpVqwTPHR0dzeDBg1m8eDE2Nknf2j4+PnTt2tU49tatWyxfvpxPPvmEQYMGmSW0EvPtt99Ss2ZNChQokOTY3bt306NHD3LmzEmbNm0oWbIkUVFR7Nixg3HjxrF9+3Z++uknrKyskpxLRERERERERP6PElySqubMmUPOnDkJCAggXbp0Rnvt2rVp0KABU6dOJSAggLx58xp9Dg4O2NnZUb58+QTnXLVqFenTp6dfv3506dKFo0ePUrZsWYtx9vb2HD9+nJ9//pnu3bsnGauDg4PFOevXr0/v3r0ZP348tWvXplChQokeb2VlhbW1NcOGDWPmzJlPPdedO3fo06cPxYsXZ/bs2WTIkMHoq1atGlWqVKFbt26sXr0aX1/fJGMXERERERERkf+jLYqSqm7fvo3JZCI2NtasPXPmzAwePJgGDRqkeM6goCC8vLyoVq0aefLkITAwMMFxZcqUoVGjRkydOpWzZ88+U/wAvXr1Ijo6mqVLlz51nLW1Nf3792fnzp0sWbLkqWPnz5/PnTt3+Prrr82SW/Fq1aqFn58f1tb6SoqIiIiIiIiklP6allRVvXp1QkJCaNWqFfPmzTNLNNWvX59mzZqlaL4TJ05w4sQJmjZtirW1NU2bNmXt2rU8ePAgwfFDhw41kmn/TrIlV5EiRShQoAAHDhxIcmzLli3x8PBg7Nix3LhxI9FxwcHBODs7U6JEiUTHjB49mkaNGj1TzCIiIiIiIiL/ZUpwSapq06YN3bp14/Tp04wcOZKGDRvi6elJ//79OXr0aIrnW7p0KTlz5qRGjRoANGvWjPDwcFasWJHgeAcHB4YNG8bhw4eZM2fOM19Hzpw5uXXrVpLjrKys+Prrr4mKimLEiBGJjrt06RJvvfWWRXt0dLTZKybm1T9kQERERERERCStUYJLUpWVlRW9e/dm+/btTJgwgebNm5M5c2ZWrlxJixYtEn3qYEIiIyNZtWoVdevWJTw8nHv37pE7d25cXV0T3aYI0KhRI3x8fPjhhx+4dOlSalzWUxUuXJhevXqxefNmVq9eneCYhFaT3blzB1dXV7NX3bp1X3S4IiIiIiIiIm8cJbjkhciWLRuNGzdm1KhRbNq0iWXLllGiRAnGjh3L3bt3kzXHli1bCAsLY+HChVSqVMl4/fXXX5w6dYrDhw8neuyIESOwtbVlyJAhmEymFMd/48YNHB0dkz2+ffv2lC9fnq+//po7d+5Y9BcoUICrV6+atWXNmpUlS5YYr9q1a6c4ThERERERERFRgktS0fXr1/H29mbx4sUWfS4uLvTq1YuIiAhCQkKSNV9QUBBvvfUWc+fONXvNnDkTOzu7p67icnR0ZMCAAezbt48FCxak6DrOnz/PjRs3cHd3T/Yx1tbWfPPNNzx8+JCRI0da9Pv4+PDnn3+aJblsbGxwc3MzXjly5EhRnCIiIiIiIiISRwkuSTW5c+cmXbp0zJ8/n4iICIv+c+fOkTFjRgoXLpzkXDdv3mT79u00atQIDw8Ps5eXlxe1atVi7dq13Lt3L9E5mjdvjpeXF99++22KCs5PnjwZOzs7/Pz8kn0MQPHixfn4449Zt24df/75p1lfmzZtyJ49OwMHDiQ8PNzi2IiIiJeynVJERERERETkTWTzqgOQN0e6dOkYPnw4n332Ge+99x5t2rShePHiPHr0iJ07dzJv3jz69OmDvb19knOtWLGCmJiYRJ8q+O6777JhwwZWrFhBu3btEp3nq6++onHjxgluU7xz546xzTE6OpqbN2+ycuVKtm7dyvDhw8mfP3/yLvwJnTt3ZsOGDZw4ccKs3dHRkUmTJtGzZ098fX1p1aoVrq6uxMbGcvjwYZYsWcLNmzf56KOPUnxOERERERERkf86JbgkVdWuXZtFixYxY8YMpk+fzu3bt0mfPj0uLi5MnDgx2UXUg4KCKFWqFMWLF0+wv3r16jg4OBAYGPjUBFeBAgXo27cvX331lUXf5s2b2bx5MxC3xTBbtmy4ubkxY8YMvLy8khXnv9nY2PDNN9/w/vvvW/RVrlyZVatWMX/+fFatWsW0adOIjY2lYMGCvPPOO7Rq1YpixYo903lFRERERERE/susTM9SgVsSFRISQu3atQkODqZgwYKJjjtx4gSlS5e2aI+MisHONt2LDDFJr0MMIm+ixL73IiIiIiLy+vOf1dPs99kf/vCKIvlvSirfohpcr5nXIbH0OsQgIiIiIiIiIpJcSnCJiIiIiIiIiEiapgSXiIiIiIiIiIikaUpwiYiIiIiIiIhImqYEl4iIiIiIiIiIpGlKcImIiIiIiIiISJqmBJeIiIiIiIiIiKRpSnCJiIiIiIiIiEiapgSXiIiIiIiIiIikaUpwiYiIiIiIiIhImqYE12smNjrqVYfwWsQgIiIiIiIiIpJcNq86ADFnbWPLgXGdXmkMFT//5ZmO69mzJ3v27GHv3r1m7bt378bf35/cuXOzY8cOs75NmzbxySefMGfOHKpUqQJAjx492LBhA19++SWtWrWyOE+7du1Ily4ds2fPTjSWgQMHcuDAAX7//Xez9oiICD7++GN2797NuHHjaNy4MUFBQQwaNIht27aRN29eQkJCqF27NuXKlWPhwoVYW5vngVesWMHnn39OcHAwBQsWNNqjo6NZunQpq1at4uzZs9y/fx9HR0e8vb3p0qULBQoUSNb7GG/v3r20b9+eefPm4e7ubtE/depUfvjhB06dOgVgXMeT0qVLh729PRUqVKB37944OzsbfeHh4cyYMYN169YREhKCra0tJUuW5L333qN58+ZYWVkZ70VS5s6di4eHBwBbtmyhW7dulC9fnsDAQIux8XOOGzeOpk2bAuDj48OVK1fMxllbW5MlSxZKlixJt27dqF69ull/cHAwc+fO5a+//iIiIoK8efNSs2ZNunXrRs6cOZOMWURERERERN4cSnBJqvH09GT9+vWcO3eOYsWKGe3bt28ne/bshIaGcvLkSUqVKmX0HThwgIwZM/L2228D8M8//7B582acnJwIDAxMMMH1rCIjI/nkk0/Ys2cPEyZMoEGDBk8df+TIEWbPnk3Hjh2TnPv+/ft07dqVv/76i5YtW9KpUycyZcrE6dOnmTNnDuvXr2fevHmUKFEitS4nUdOmTcPBwQGAmJgYrl27xsSJE2nbti1r164ld+7cmEwmunTpwsWLF+nSpQslSpTg8ePHbN++nWHDhnH69GkGDx5Mnjx5zJJUf/31FyNHjmTkyJFmybInrysoKAgnJycOHz5s8Xk/jY+PD127djV+j46O5tKlSwQEBPDxxx+zZMkSY67FixczbNgwWrdujb+/PxkyZOD06dP8/PPPbNmyhaVLl5ItW7bneh9FREREREQk7VCCS1KNp6cnAIcOHTJLcO3YsYPmzZuzePFiduzYYZbw2L9/P+7u7tjZ2QGwatUq0qdPT79+/ejSpQtHjx6lbNmyzx1bZGQkn332GXv27GHixInUrVs3yWPs7e354YcfqF27NkWKFHnq2FGjRnH06FHmz59vFm/lypVp0qQJfn5+fPPNN8ycOfO5ryUpLi4u5M2b16wtX758tG7dmmXLltGlSxf279/PH3/8YbZyDqBWrVpYW1vz22+/0blzZ3Lnzk358uWN/oiICACKFy9u1h7vzp07bNmyhXHjxjF27FgCAwP54osvkhW3g4ODxZzu7u6UK1eOhg0bsnLlSuPemT59Ok2bNmX48OHGWE9PT9zd3WnWrBmLFy+mU6dXuxJSREREREREXh7V4JJUU6RIEfLnz8/BgweNttDQUP7++2+8vLzw8PAw26IYHh7O8ePH8fLyMtqCgoLw8vKiWrVqFquHnlVUVBQ9evRg586dTJo0KVnJLYDu3buTPn16hg4dislkSnTclStXWL58OR06dEgwGWdvb89nn31GwYIFiY2NfebreB6urq4AxjbAW7duASR4XW3btqV3795YWVml+DyrVq0CwMvLC19fX1auXEl4ePizhg1A1qxZAcziuX37doLvpYuLCwMHDqRMmTLPdU4RERERERFJW5TgklRVpUoVDh06ZPy+c+dOMmTIgLu7O15eXhw4cIBHjx4BcVsAo6OjqVq1KgAnTpzgxIkTNG3aFGtra5o2bcratWt58ODBM8cTFRVFr169+N///seUKVPw8fFJ9rG5cuVi4MCB7Nu3j/nz5yc6Ljg4GJPJRKNGjRId06RJE0aOHGlRz+tluXDhAgCFCxcGoFKlSmTKlIlevXrx7bffsm/fPh4/fgzAW2+9RefOncmVK1eKzxMUFETNmjXJli0bzZo148GDB6xZsyZZx5pMJqKjo43Xo0ePOHHiBJ9//jm2trY0btzYGFu9enVWrlzJp59+ytq1a7l586bR9+GHH5qtShMREREREZE3nxJckqo8PT05d+4cYWFhQNz2xPgtiF5eXkRGRrJv3z4gbnti7ty5jVpOS5cuJWfOnNSoUQOAZs2aER4ezooVK54plpiYGPr06UNwcDAxMTHcu3cvxXP4+fnh7e3NhAkTuHr1aoJjLl26BMQlhp4UGxtrlrCJjo5+6kqw1BITE2Oc78GDBxw6dIghQ4aQJUsWfH19gbjk3U8//YS9vT0///wz7dq1w93dnXbt2rFo0SJiYmJSfN7jx49z8uRJmjVrBvzfNsbkrsJbunQprq6uxqt8+fI0b96cR48eMWPGDEqXLm2M/eqrr3jnnXfYtGkTvXv3plq1arzzzjuMGTOGGzdupDh2ERERERERSduU4JJUVaVKFUwmE4cPH8ZkMrFr1y68vb0BKFSoEIULF2bXrl0A/PHHH0bdrsjISFatWkXdunUJDw/n3r175M6dG1dX12fepnjlyhW2b9/OjBkzcHNzY8SIEVy+fDnF83z11VcADBs2LMH+xJJW3bt3N0vYuLq6Gsm95HiWLYIQV6w9/nwVK1akVatWhIeHM3nyZPLkyWOMq1y5Mhs3buS3336jW7duuLm5cejQIYYNG0aHDh2MelvJFRQURPbs2alQoQL37t3j3r171K9fn2PHjnH8+PEkj69duzZLlixhyZIlTJgwgXz58uHm5sbkyZONJzTGy5YtG5MnT2bTpk0MHz6cevXqcffuXWbNmkWDBg04cuRIimIXERERERGRtE1F5iVV5cmThxIlSnDo0CHy5MnD7du3zWpseXl5sXfvXqKiojh69CgjRowAYMuWLYSFhbFw4UIWLlxoMe/hw4cTLGr+NOnTpycgIIDKlSuTL18+mjVrRt++fZk/fz42Nsm/9fPnz0/fvn0ZOXIkS5cutTg2f/78AFy9etXsaYKDBw/m008/BeDkyZMMHTo0RfFnzJgRiNtmmZCoqCgyZcpk0R4QEGA8RdHW1pacOXOSO3fuBOewtramUqVKVKpUCYC7d+8yceJE5s+fT1BQEB988EGyYo1PUIaFhRlJyyctXLiQkSNHPnWOHDly4ObmBoCbmxulSpXivffeo0uXLgQGBhoPInhSwYIFadOmDW3atCE2NpZNmzYxaNAgRo0axaJFi5IVu4iIiIiIiKR9WsElqc7T05MjR46wc+dOHB0dKVmypNHn7e3NqVOn+OOPP3j06JGRDAkKCuKtt95i7ty5Zq+ZM2diZ2f3TKu4HB0dqVy5MgDFihWjf//+HDlyhEmTJqV4rtatW1OpUiXGjBlDaGioWV98Xa+NGzeatRcpUgQ3Nzfc3NwoWrRois8Zn5RKbMvd9evXE6yT5ezsbJy3VKlSCSa3evXqhb+/v0V7tmzZGDZsGNmyZePs2bPJjnXz5s2EhYUxatQoi8+wRo0arF69mocPHyZ7PoASJUrQo0cPjh8/zo8//mi0b9iwgSpVqnD+/Hmz8dbW1rzzzjv4+flx5syZFJ1LRERERERE0jYluCTVValShb/++ov9+/ebrd4C8PDwwNramsDAQEqWLImjoyM3b95k+/btNGrUCA8PD7OXl5cXtWrVYu3atc9UQ+tJbdq0wcvLi59//pndu3en6FgrKytGjRpFZGQk06ZNM+srWrQojRs3JiAggKNHjyZ4/LMkXPLmzUvhwoVZv369Rd+jR4/Yvn27xda95CpUqBB79uzh8OHDFn03b94kPDwcJyenZM8XFBREgQIFaN68ucVn2Lp1ax4+fMjq1atTHGeHDh1wcnJi5syZRqH8EiVKEBYWxpw5cxI85sKFCymKXURERERERNI+bVGUVOfh4cHDhw/ZuXMnY8aMMeuzt7fHzc2N4OBgWrduDcCKFSuIiYlJ9CmE7777Lhs2bGDFihW0a9cOgGvXrjF79myLsS4uLsaqrX+zsrJi9OjR+Pr68vnnn7Ny5Upy5MiR7OsqUqQIPXv2ZOzYsRZ9X375JXfu3KF169b4+flRvXp1smbNyqVLl1izZg27du3Czc3NohB9Uvr27UuvXr349NNPeffdd8mSJQuXL19m7ty5xMTE0K1btxTNF++jjz5i06ZNfPjhh7Ru3RoPDw8yZszI33//zcyZM3FycqJp06bJmuvmzZvs2LGDjh07Jtjv7e1Nrly5CAwMpGXLlimK08bGhsGDB+Pv788333xDQEAAxYsXp2PHjsyYMYOrV6/SpEkT8ubNy+3bt1mxYgV79uxJ8N4QERERERGRN5cSXK+Z2OgoKn7+yyuPwdrG9pmPt7e3x9XVlWPHjlG1alWLfm9vbw4dOmSs7goKCqJUqVIUL148wfmqV6+Og4MDgYGBRoLrwoULjB492mJs+/btE01wQdy2xeHDh9O3b18GDRrE9OnTU3RtHTp0YN26dRYrtbJkycLMmTNZtWoVK1asYMSIEYSFhZEjRw7Kly/PlClT8PHxwdo6ZYsm69evz8yZM5k5cyZDhw7lwYMH5MqVi6pVq/Lxxx9TsGDBFM0XL3v27CxatIhffvmFzZs3s2DBAqKioihQoACNGzemS5cupE+fPllzLV++/KkJShsbGxo1asScOXM4duxYipKKELfltV69emzYsIEtW7ZQq1YtPv/8c8qUKcOSJUv4+uuvefDgAVmzZsXd3Z3FixdTqlSpFJ1DRERERERE0jYrU2KPgHtNnThxgubNmxMcHEzevHmN9nXr1vHLL79w7tw5smbNStWqVenXrx85c+Y0xly4cIExY8awf/9+0qVLR/369enfvz9ZsmQxxty6dYvRo0ezY8cOoqOjqVGjBoMGDUq0SPe/hYSEULt2bYKDg5+afDhx4gSlS5d+hndARNIqfe9FRERERNIu/1k9zX6f/eEPryiS/6ak8i1pqgbX2bNn6dq1K9HR0Wbta9eupVevXri6ujJ58mR69erFnj178Pf3JzIyEoh7OlyHDh24desWY8eOpW/fvqxdu5a+ffsa80RHR/PRRx8ZT/cbMWIEBw8epFOnThbnFHlW0dHRSb5iY2NfdZgiIiIiIiIiaUaa2KIYHR1NYGAgEyZMwNbWcuvcTz/9RI0aNRg5cqTRVqxYMVq0aMH//vc/6tSpw7x587h37x7Lly83tkg5OjrSpUsXjhw5Qrly5VizZg0nT55k7dq1xna50qVL07hxYzZu3EjDhg1fzgXLG83V1TXJMc2aNbOoXyYiIiIiIiIiCUsTCa4DBw7w7bff8tFHH+Ho6MjQoUONPpPJRNWqValYsaLZMcWKFQPg0qVLAOzcuZNKlSqZ1f/x9vYmc+bMbNu2jXLlyrFz505KlChhVgsq/vdt27YpwSWpYsmSJUmOSWmdKhEREREREZH/sjSR4CpevDibNm0iZ86cBAUFmfVZWVkxYMAAi2M2bdoExCWoAM6dO0eTJk3MxqRLl46CBQty/vx5Y0zRokUt5ipcuLAxRuR5ubm5veoQRERERERERN4oaaIGV65cucyKxSfl0qVLjB07FldXV7y9vQG4f/++WTH5eJkzZ+bBgwfJHiMiIiIiIiIiIq+XNJHgSomzZ8/Svn17bGxsmDhxItbWSV9iao0REREREREREZGX743K2uzdu5cPPvgAgDlz5lC4cGGjL0uWLDx8+NDimAcPHhirtpIzRkREREREREREXi9vTIJr7dq1RhH6wMBAs0LxAEWLFuXixYtmbTExMYSEhBh1txIaA3FbHhOqzSUiIiIiIiIiIq/eG5Hg2r59O/369aNChQosWLAAR0dHizFeXl7s3buXsLAwo23Hjh2Eh4dTtWpVIO6piqdPn+bcuXPGmDNnznD27FljjIiIiIiIiIiIvF7SxFMUnyYyMpIhQ4aQOXNmunXrxpkzZ8z68+XLh6OjI61bt+a3337D39+fTz75hLCwMMaPH0/16tV5++23AWjYsCHTp0+nU6dO9OnTB4AJEybg5OREgwYNXvq1iYiIiIiIiIhI0tL8Cq4jR45w48YN7t27R8eOHWnZsqXZa+nSpQA4ODgwd+5csmfPTr9+/fj++++pX78+33//vTGXnZ0ds2bNwsXFhWHDhvHVV19RoUIFZsyYgY3Ny8kFRkZHvZTzvKgY2rVrh7+/f7LGjh07FmdnZyZMmGDW3qlTJ1xdXTl58mSCx82ZMwdnZ2dWrFgBwMCBA6lbt67RHxQUhLOzM2PHjk3w+CFDhuDj42PRfufOHX788UeaNGlCxYoVKV++PE2aNGHq1KkJ1mYTERERERERkddDmlvB5efnh5+fn/F7pUqVOHXqVLKOdXJyYvbs2U8dky9fPn788cfnCfG52NnY4j+r5ys7P8DsD3944eeIjo5m5cqVODk5ERQURI8ePbC1tQXgq6++olGjRgwdOpTAwEDSpUtnHHflyhUmTpzIO++8Q9OmTZ96jjlz5tCgQQPKli2bZDwnT56ka9eumEwm2rZti5ubGwB//PEHM2fOZNOmTcyfP58MGTI8x1WLiIiIiIiIyIuQ5ldwSdq0bds2bt++zRdffMGtW7fYtGmT0ZcvXz769+/PsWPHmDt3rtlxw4cPJ2PGjHz55ZdJniNTpkwMHjyYyMjIp46LiIigd+/epE+fnhUrVtClSxc8PT3x9PSkR48ezJ07l1OnTiWZHBURERERERGRV0MJLnklgoKCcHV1xd3dnXLlyhEYGGjW36pVKzw8PJg0aRJXrlwBYPny5ezYsYORI0fi4OCQ5DkGDBjA6dOnmTZt2lPHrVu3jnPnzjFkyBBy5Mhh0e/i4oK/vz+ZM2dOwRWKiIiIiIiIyMuiBJe8dHfu3GHbtm3GFsNmzZqxZ88eLl68aIyxsrJi1KhRmEwmxowZw/379xk3bhxNmzalTp06yTpPtWrVaNasGT///HOi9bwANm3aRLZs2ahWrVqiY/r370+7du2SeYUiIiIiIiIi8jIpwSUv3cqVKwFo3LgxAI0aNcLOzs5iFVehQoXo1asXGzdupFu3btja2jJ06NAUnWvQoEFkz56dwYMHEx0dneCYS5cuUahQIaytzb8OMTExREdHm71ERERERERE5PWjBJe8dEuXLqVq1arY2Nhw7949AKpXr86yZcss6mW1b9+eChUqsH//fkaNGkXWrFlTdK5s2bLxxRdf8NdffzFjxowEx5hMpgTb3d3dcXV1NXuJiIiIiIiIyOsnzT1FUdK2P//8k7///pu///6bSpUqWfT//vvvNGrUyPjd2toaLy8vjh49ire39zOds27dutSvX58ff/wxwe2N+fPn59ixY5hMJqysrIz2efPmERMTA8Ql5RYsWPBM5xcRERERERGRF0sJLnmpgoKCyJIlC1OmTDFLJgH069ePhQsXmiW4Usvw4cPZs2cPQ4YMoWjRomZ9Pj4+bN26lQMHDuDu7m60u7i4GD9v37491WMSERERERERkdShLYry0kRGRrJ69Wrq1KlDlSpV8PDwMHs1btyYffv2ce7cuVQ/d86cORkyZAiHDh1i48aNZn2+vr689dZbjBgxgjt37lgcGxsb+0JiEhEREREREZHUoRVckuquXbvG7NmzLdofPHjA3bt3E12h9e677zJz5kwWLVrEwIEDUz2uJk2asHbtWrZs2UK2bNmM9kyZMjF58mQ+/vhjfH19admyJeXLl8fW1pbjx4+zZMkSzp07h6+vb6rHJCIiIiIiIiLPTwkuSXUXLlxg9OjRFu3VqlUjR44cVK1aNcHjnJ2dKV26NMuWLaNPnz7Y2dmlemxffvkl+/fvt2h3cnJi+fLlLFy4kPXr1/Pbb7/x+PFj8ubNi4eHB+PHj6dMmTKpHo+IiIiIiIiIPD8rU2KPkJNnEhISQu3atQkODqZgwYKJjjtx4gSlS5e2aI+MjsLOxvZFhpik1yEGkTdRYt97ERERERF5/fnP6mn2++wPf3hFkfw3JZVvUQ2u18zrkFh6HWIQEREREREREUkuJbhERERERERERCRNU4JLRERERERERETSNCW4REREREREREQkTVOCS0RERERERERE0jQluEREREREREREJE1TgktERERERERERNI0JbhERERERERERCRNU4JLRERERERERETSNCW4REREREREREQkTVOC6zUTExn1qkN45hh69uyJh4eHRfvu3btxdnbG29vbom/Tpk04OzuzZ88eo61Hjx44OzuzcOHCBM/Trl07/P39nxrLwIEDqVu3rkV7REQEH330ES4uLqxevRqAoKAgnJ2duX79OgAhISE4OzvTokULYmNjLeZYsWIFzs7OhISEmLVHR0cTGBhI27Zt8fT0pEyZMtSuXZsvvviCK1euPDVeEREREREREXl2Nq86ADGXzs6Wte0/fKUxNJw765mO8/T0ZP369Zw7d45ixYoZ7du3byd79uyEhoZy8uRJSpUqZfQdOHCAjBkz8vbbbwPwzz//sHnzZpycnAgMDKRVq1bPdzFPiIyM5JNPPmHPnj1MmDCBBg0aPHX8kSNHmD17Nh07dkxy7vv379O1a1f++usvWrZsSadOnciUKROnT59mzpw5rF+/nnnz5lGiRInUuhwRERERERER+f+0gktSjaenJwCHDh0ya9+xYwfNmzcnW7Zs7Nixw6xv//79uLu7Y2dnB8CqVatInz49/fr14/jx4xw9ejRVYouMjOSzzz5jz549TJw4McnkFoC9vT0//PADFy9eTHLsqFGjOHr0KL/++iuDBw+mZs2aVK5cmTZt2rB06VKyZs3KN998kxqXIiIiIiIiIiL/ogSXpJoiRYqQP39+Dh48aLSFhoby999/4+XlhYeHh1mCKzw8nOPHj+Pl5WW0BQUF4eXlRbVq1ciTJw+BgYHPHVdUVBQ9evRg586dTJo0KcGtiwnp3r076dOnZ+jQoZhMpkTHXblyheXLl9OhQwfKli1r0W9vb89nn31GwYIFE9zyKCIiIiIiIiLPRwkuSVVVqlQxW8G1c+dOMmTIgLu7O15eXhw4cIBHjx4BcVsAo6OjqVq1KgAnTpzgxIkTNG3aFGtra5o2bcratWt58ODBM8cTFRVFr169+N///seUKVPw8fFJ9rG5cuVi4MCB7Nu3j/nz5yc6Ljg4GJPJRKNGjRId06RJE0aOHIm1tb5yIiIiIiIiIqlNf21LqvL09OTcuXOEhYUBcdsT47cgenl5ERkZyb59+4C47Ym5c+fG2dkZgKVLl5IzZ05q1KgBQLNmzQgPD2fFihXPFEtMTAx9+vQhODiYmJgY7t27l+I5/Pz88Pb2ZsKECVy9ejXBMZcuXQLgrbfeMmuPjY0lOjra7PW0lWAiIiIiIiIi8myU4JJUVaVKFUwmE4cPH8ZkMrFr1y7j6YmFChWicOHC7Nq1C4A//vjDqNsVGRnJqlWrqFu3LuHh4dy7d4/cuXPj6ur6zNsUr1y5wvbt25kxYwZubm6MGDGCy5cvp3ier776CoBhw4Yl2J9Y0qp79+64urqaveKTeyIiIiIiIiKSepTgklSVJ08eSpQowaFDhzhx4gS3b982q7Hl5eXF3r17iYqK4ujRo0bfli1bCAsLY+HChVSqVMl4/fXXX5w6dYrDhw+nOJb06dMTEBCAl5cX48aNIzo6mr59+xIdHZ2iefLnz0/fvn3ZsWMHS5cuTbAfsFjhNXjwYJYsWcKSJUv4+uuvUxy/iIiIiIiIiCSPElyS6jw9PTly5Ag7d+7E0dGRkiVLGn3e3t6cOnWKP/74g0ePHhkruIKCgnjrrbeYO3eu2WvmzJnY2dk90youR0dHKleuDECxYsXo378/R44cYdKkSSmeq3Xr1lSqVIkxY8YQGhpq1hdf12vjxo1m7UWKFMHNzQ03NzeKFi2a4nOKiIiIiIiISPIowSWprkqVKvz111/s37/fbPUWgIeHB9bW1gQGBlKyZEkcHR25efMm27dvp1GjRnh4eJi9vLy8qFWrFmvXrn2mGlpPatOmDV5eXvz888/s3r07RcdaWVkxatQoIiMjmTZtmllf0aJFady4MQEBARw9ejTB48+cOfPMcYuIiIiIiIjI09m86gDkzePh4cHDhw/ZuXMnY8aMMeuzt7fHzc2N4OBgWrduDcCKFSuIiYlJ9CmE7777Lhs2bGDFihW0a9cOgGvXrjF79myLsS4uLsaqrX+zsrJi9OjR+Pr68vnnn7Ny5Upy5MiR7OsqUqQIPXv2ZOzYsRZ9X375JXfu3KF169b4+flRvXp1smbNyqVLl1izZg27du3Czc3NohC9iIiIiIiIiDw/Jbgk1dnb2+Pq6sqxY8eoWrWqRb+3tzeHDh0yVncFBQVRqlQpihcvnuB81atXx8HBgcDAQCPBdeHCBUaPHm0xtn379okmuCBu2+Lw4cPp27cvgwYNYvr06Sm6tg4dOrBu3TqLlVpZsmRh5syZrFq1ihUrVjBixAjCwsLIkSMH5cuXZ8qUKfj4+GBtrUWTIiIiIiIiIqnNypTYI+DkmYSEhFC7dm2Cg4MpWLBgouNOnDhB6dKlLdpjIqNIZ2f7IkNM0usQg8ibKLHvvYiIiIiIvP78Z/U0+332hz+8okj+m5LKt2g5yWvmdUgsvQ4xiIiIiIiIiIgklxJcIiIiIiIiIiKSpinBJSIiIiIiIiIiaZoSXCIiIiIiIiIikqYpwSUiIiIiIiIiImmaElwiIiIiIiIiIpKmKcElIiIiIiIiIiJpmhJcIiIiIiIiIiKSpinBJSIiIiIiIiIiaZoSXCIiIiIiIiIikqYpwfWaiY6KedUhvBYxiIiIiIiIiIgkl82rDkDM2dim45shS15pDINHNX+u40+dOsX06dPZt28fd+/eJXv27Li7u9OtWzdKlSoFQFBQEIMGDWLbtm3kzZsXZ2fnJOcdPXo0P/74I1euXHnquE8//ZTPPvuMgQMHcuDAAX7//Xezc3bs2JEBAwZYHDdkyBB2797N5s2bzdrv3LnD/Pnz2bhxI1euXCEmJobChQtTv359OnToQObMmZP71oiIiIiIiIjIC6AEl6SqkydP8sEHH/D2228zbNgwHBwcuH79OnPnzqVFixbMnTuX8uXLWxwXGBho/BwaGmokqby9vY32woULU6pUKSIjI422li1b0rJlS/z8/Iy2vHnzPjXGOXPm0KBBA8qWLZus6+natSsmk4m2bdvi5uYGwB9//MHMmTPZtGkT8+fPJ0OGDEnOJSIiIiIiIiIvhhJckqrmzJlDzpw5CQgIIF26dEZ77dq1adCgAVOnTiUgIMDiuCeTXiEhIQAUKlTIIhnm4OBgcWzevHkTTJolJlOmTAwePJigoCDs7OwSHRcREUHv3r1Jnz49gYGB5MiRw+jz9PSkTp06vP/++8yePZtu3bol+/wiIiIiIiIikrpUg0tS1e3btzGZTMTGxpq1Z86cmcGDB9OgQYNXFNn/GTBgAKdPn2batGlPHbdu3TrOnTvHkCFDzJJb8VxcXPD399cWRREREREREZFXTCu4JFVVr16dbdu20apVK/z8/KhSpQrFixcHoH79+q84ujjVqlWjWbNm/Pzzz9SrV8+oC/ZvmzZtIlu2bFSrVi3Rufr37/+iwhQRERERERGRZNIKLklVbdq0oVu3bpw+fZqRI0fSsGFDPD096d+/P0ePHn3V4RkGDRpE9uzZGTx4MNHR0QmOuXTpEoUKFcLa2vxrEhMTQ3R0tNlLRERERERERF4dJbgkVVlZWdG7d2+2b9/OhAkTaN68OZkzZ2blypW0aNGCefPmveoQAciWLRtffPEFf/31FzNmzEhwjMlkSrDd3d0dV1dXs5eIiIiIiIiIvDraoigvRLZs2WjcuDGNGzcG4Pjx43z++eeMHTvWaHvV6tatS/369fnxxx+pU6eORX/+/Pk5duwYJpMJKysro33evHnExMQAsHTpUhYsWPDSYhYRERERERERS1rBJanm+vXreHt7s3jxYos+FxcXevXqRUREhPGUxNfB8OHDyZQpE0OGDLEojO/j48Pt27c5cOCAWbuLiwtubm64ubmRJ0+elxmuiIiIiIiIiCRACS5JNblz5yZdunTMnz+fiIgIi/5z586RMWNGChcu/AqiS1jOnDkZMmQIhw4dYuPGjWZ9vr6+vPXWW4wYMYI7d+5YHBsbG8u5c+deVqgiIiIiIiIikghtUZRUky5dOoYPH85nn33Ge++9R5s2bShevDiPHj1i586dzJs3jz59+mBvb/+qQzXTpEkT1q5dy5YtW8iWLZvRnilTJiZPnszHH3+Mr68vLVu2pHz58tja2nL8+HGWLFnCuXPn8PX1fYXRi4iIiIiIiIgSXK+Z6KgYBo9q/spjsLFN90zH1q5dm0WLFjFjxgymT5/O7du3SZ8+PS4uLkycOJG6deumcrSp48svv2T//v0W7U5OTixfvpyFCxeyfv16fvvtNx4/fkzevHnx8PBg/PjxlClT5hVELCIiIiIiIiLxrEyJPSpOnklISAi1a9cmODiYggULJjruxIkTlC5d+iVGJiKvmr73IiIiIiJpl/+snma/z/7wh1cUyX9TUvkW1eASEREREREREZE0TQkuERERERERERFJ05TgEhERERERERGRNE0JLhERERERERERSdOU4BIRERERERERkTRNCS4REREREREREUnT0lyC68SJE7i6unL9+nWz9h07dvDee+9Rrlw5fHx8mDlzpsWxx44do127dlSoUAFvb2++++47oqKizMZcuHCBbt264e7ujoeHB1988QUPHjx4odckIiIiIiIiIiLPzuZVB5ASZ8+epWvXrkRHR5u1Hzx4kG7dutGgQQN69uzJgQMHGDduHCaTiY8++giAixcv4u/vT4UKFZg4cSJnz57l+++/58GDBwwfPhyAu3fv0qFDB3Lnzs3YsWO5ffs248eP5/r16/z0008v/XpFRERERERERCRpaSLBFR0dTWBgIBMmTMDW1taif9KkSbi4uDB+/HgAqlevTnR0NNOnT6ddu3bY2dkREBCAvb09U6dOxc7Ojho1apAhQwa+/vprunbtiqOjI/PmzePevXssX76cHDlyAODo6EiXLl04cuQI5cqVe6nXLSIiIiIiIiIiSUsTWxQPHDjAt99+S8eOHenXr59ZX0REBPv37+edd94xa69Xrx737t3j4MGDAOzcuZNatWphZ2dnjKlfvz4xMTHs2LHDGFOpUiUjuQXg7e1N5syZ2bZt24u6PBEREREREREReQ5pIsFVvHhxNm3axKeffkq6dOnM+i5fvkxUVBRFixY1ay9SpAgA58+f59GjR1y7ds1ijIODA1myZOH8+fMAnDt3zmJMunTpKFiwoDHmRYv+V02wV+FZY+jZsyceHh4W7bt378bZ2Rlvb2+Lvk2bNuHs7MyePXuMth49euDs7MzChQsTPE+7du3w9/d/aiwDBw6kbt26Fu0RERF89NFHuLi4sHr1agCCgoJwdnY26rqFhITg7OxMixYtiI2NtZhjxYoVODs7ExISYtYev9Kwbdu2eHp6UqZMGWrXrs0XX3zBlStXnhpvQvbu3Yuzs7PZq0yZMtSoUYNBgwYlOmdoaCjffPMN9erVw83NDS8vLzp37szWrVvNxo0bN47SpUtz//59s/ZLly4Z5/p3/bmTJ0/i7OzM0qVLAXB2dsbHx4fw8HCLOPbv34+zszN79+412kwmE0uXLqVVq1a8/fbblCtXjkaNGvHDDz+YncvHx8fi2v/9mjx5sjH+n3/+oUyZMpQrV4579+4l+L74+PgwZMgQ4/eBAwcmOG+FChXw9fVl1qxZFnOcOnWK3r174+XlRZkyZfD29qZXr16cPHkywXOKiIiIiIjIy5EmtijmypUr0b74P86zZMli1p45c2YAHjx4kOiY+HHxf1jfv38/yTEvmo2tLd8N6vpSzpWYPqOfrd6Yp6cn69ev59y5cxQrVsxo3759O9mzZyc0NJSTJ09SqlQpo+/AgQNkzJiRt99+G4hLVGzevBknJycCAwNp1arV813MEyIjI/nkk0/Ys2cPEyZMoEGDBk8df+TIEWbPnk3Hjh2TnPv+/ft07dqVv/76i5YtW9KpUycyZcrE6dOnmTNnDuvXr2fevHmUKFEixXGPHDkSZ2dnAB49esS5c+cICAhgy5YtLFy4kLfeessY++eff9K5c2cyZsxIhw4dKFWqFHfv3mXt2rV07dqVNm3aGDXnPD09mTFjBocPH6ZatWrGHPGf1927d9m7dy+1a9c2+vbv3w+Al5eX0XblyhUmTJjAsGHDkryWH374gV9++YWPPvqIjz/+GBsbG44dO8Yvv/zC9u3bWbBgAba2tvz4449ERkYax7Vs2ZKWLVvi5+dntOXNm9f4efXq1eTJk4ewsDCWL19O+/btk/Xe5s2blx9++MH43WQycevWLRYuXMiYMWNInz49rVu3BuKSex988AFvv/02w4YNw8HBgevXrzN37lxatGjB3LlzKV++fLLOKyIiIiIiIqkrTSS4nsZkMj2139raOlljkpKcMf91np6eABw6dMgswbVjxw6aN2/O4sWL2bFjh1mCa//+/bi7uxtbR1etWkX69Onp168fXbp04ejRo5QtW/a5Y4uMjOSzzz5jz549TJw4McHVXf9mb2/PDz/8QO3atY0VgYkZNWoUR48eZf78+WbxVq5cmSZNmuDn58c333yT4NM9k1K8eHGzxImnpye1a9emadOmfPHFF8yZMweAhw8f8sknn5AvXz7mzJmDvb29ccw777yDu7s7X331FU5OTrRq1Qp3d3dsbW05dOiQWYJrx44deHl5cebMGXbs2GGR4CpWrJhZcsne3p558+bRoEED3N3dE72OyMhIZs6cSZcuXejRo4fRXrVqVYoVK8ann37Kpk2baNCgAS4uLhbH582bN9EEUlBQEDVq1OD+/fsEBgYmO8FlZ2eX4Jw1a9akTp06BAUFGQmuOXPmkDNnTgICAsxWktauXZsGDRowdepUAgICknVeERERERERSV1pPmsT/0f8w4cPzdrjV1zZ29sbq7L+PSZ+XPwcWbJkSXRMQiu7xFyRIkXInz+/UfcM4rbL/f3333h5eeHh4WHUOwMIDw/n+PHjZquBgoKC8PLyolq1auTJk4fAwMDnjisqKooePXqwc+dOJk2alKzkFkD37t1Jnz49Q4cOfWqS9MqVKyxfvpwOHTokmIyzt7fns88+o2DBgglueXwWefPmpVWrVuzZs4dLly4Bce/d9evX+eKLL8ySW/Hatm3L22+/zbRp0zCZTGTMmJHy5cubfV5RUVHs3bsXT09PqlatavZ5QVyC68nPC6B169YULFiQIUOGEBERkWjMDx48ICIiIsH3oGbNmvTu3ZtChQql6H2AuJVVx48fp0aNGjRp0oQzZ84YK82ela2tLRkzZsTKyspou337NiaTySL+zJkzM3jw4CRXBIqIiIiIiMiLk+YTXIULFyZdunTGH/nx4n8vWrQomTNnxtHRkYsXL5qNuX37Ng8fPjTqbhUtWtRiTExMDCEhIRa1uSRhVapU4dChQ8bvO3fuJEOGDLi7u+Pl5cWBAwd49OgRELcFMDo6mqpVqwJw4sQJTpw4QdOmTbG2tqZp06asXbv2ubaHRkVF0atXL/73v/8xZcoUfHx8kn1srly5GDhwIPv27WP+/PmJjgsODsZkMtGoUaNExzRp0oSRI0em6krA+PftwIEDQNx77eDg8NSnfdavX5/r169z/PhxIO7zOnLkCDExMQAcPnyYhw8f4u3tjZeXF5cuXTK+S5cuXSI0NNQ4b7z4p5FevHjRbLvfvzk4OFCmTBkCAgIYOHAgmzZt4p9//gHiEkrdunWjTJkyKX4fli5dSs6cOY2YU5oYjY6ONl6RkZFcvnyZb775hvPnz/Puu+8a46pXr05ISAitWrVi3rx5nD171uirX78+zZo1S3HsIiIiIiIikjrSfIIrffr0uLu7s3HjRrNVNhs2bMDe3t74g9nLy4stW7aY1fXZsGED6dKlo3LlysaYvXv3EhYWZozZsWMH4eHhFn/US8I8PT05d+6c8R7u2LHD2ILo5eVFZGQk+/btA+JWA+XOnduoLxWfqKhRowYAzZo1Izw8nBUrVjxTLDExMfTp04fg4GBiYmISLT7+NH5+fnh7ezNhwgSuXr2a4Jj4BNCTtbAAYmNjzZIn0dHRSW6XTYn42nShoaFAXHH8AgUKPPWYwoULAxjX4unpSXh4OKdOnQLiPq9ixYqRL18+KlWqhJ2dHdu3bwfiPi8bGxvj+/KkKlWq0KJFC2bPns3Ro0cTPf/kyZOpWLEiy5Yt45NPPsHT0xNfX18mT578TJ9PVFQUq1atwtfXFxsbG9KlS8e7777Lhg0bzL7Hibl06RKurq7Gy83NjTp16rBt2za++OILY3siQJs2bejWrRunT59m5MiRNGzYEE9PT/r37//Ua07LYqMtHziRUJuIiIiIiMirluYTXBC3lezgwYP07t2bbdu2MXHiRGbMmEHXrl3JmDEjAJ06dSI0NJQuXbqwZcsWZs2axejRo2nRogX58+cH4rZa2dnZ4e/vz++//87ixYvp378/1atXN4qgy9NVqVIFk8nE4cOHMZlM7Nq1y3h6YqFChShcuDC7du0C4I8//jDqdkVGRrJq1Srq1q1LeHg49+7dI3fu3Li6uj7zNsUrV66wfft2ZsyYgZubGyNGjODy5cspnuerr74CSLSIemJJq+7du5slT1xdXY3k3otgMpmwsXl6Wb342lHxMZctW5ZMmTIZq+7i629B3MqsihUrsnv3biDu8ypXrlyi23U///xzcufOzZAhQ4hK5Emc+fPn59dff2XNmjUMGDCAGjVqcOXKFX788UcaNmxosRIzKVu2bOGff/6hbt263Lt3j3v37lGnTh0iIiJYvnx5ksfnzZuXJUuWsGTJEmbMmEHFihXJkycPY8aMoXXr1mZbFK2srOjduzfbt29nwoQJNG/enMyZM7Ny5UpatGjBvHnzUhR7WmBtY8uBcZ3MXtY2tq86LBEREREREQtvRILL09OTyZMnc/bsWT755BNWrVrF559/TufOnY0xxYsXZ+bMmYSHh9OjRw9mzZrFhx9+yJAhQ4wxDg4OzJ07l+zZs9OvXz++//576tevz/fff/8qLitNypMnDyVKlODQoUOcOHGC27dvm9Vsil8lFxUVxdGjR42+LVu2EBYWxsKFC6lUqZLx+uuvvzh16hSHDx9OcSzp06cnICAALy8vxo0bR3R0NH379iU6OjpF8+TPn5++ffuyY8cOli5dmmA/YLHCa/DgwUby5Ouvv05x/Em5ceMGAI6OjgAUKFCAK1euPPWY+ARfvnz5gLitgZUqVeLgwYP8888/HD9+3EhIQtzn9ccff2AymTh48OBTVzJmyZKFkSNH8vfffzNt2rSnxlGiRAk6duzITz/9xN69exk5ciT//PNPir9rQUFBQNzqqvh7pkWLFgDJSoza2dnh5uaGm5sb3t7ezJgxA3t7ezp37syFCxcSPCZbtmw0btyYUaNGsWnTJpYtW0aJEiUYO3Ysd+/eTVH8IiIiIiIikjrS3FMU/fz88PPzs2ivW7duksXD3d3dWbRo0VPHODk5MXv27OcJ8T/P09OTI0eOkCVLFhwdHSlZsqTR5+3tTWBgIH/88QePHj0yVnAFBQXx1ltvMXLkSLO5oqOj6datG4GBgYk+QS8xjo6Oxna6YsWK0b9/f7766ismTZpEnz59UjRX69atWbduHWPGjKFr165mfT4+PowbN46NGzdSokQJo/3JJy8+rfj6s9qzZw9WVlZUrFjRiGPbtm0cOnSIChUqJHjMxo0bcXR0xNXV1Wjz9PRk/vz57N6922zLLsR9Xt9++y179uzhwoULFgXm/61GjRo0bdqUgIAAcubMadY3e/Zspk+fzpYtW4yVlRCXZGvZsiXbtm3jzJkzyb7+0NBQtm/fTrt27Sy++7t27WL69Ons27cvwS2VicmYMSNjxoyhZcuWDBo0iPnz52NlZcX169dp3rw5PXv25P333zc7xsXFhV69evHJJ58QEhJCtmzZkn0+ERERERERSR1vxAoueb1UqVKFv/76K8En7nl4eGBtbU1gYCAlS5bE0dGRmzdvsn37dho1aoSHh4fZy8vLi1q1arF27dpnqtH0pDZt2uDl5cXPP/9sbLtLLisrK0aNGkVkZKTF6qSiRYvSuHFjAgICEq3FlJLETXLcuHGDwMBAqlWrRsGCBYG4QvaFCxdm+PDhCa4kWrRoEXv27KFLly5mxe49PT25dOkSmzdvpkKFCmTKlMnoK1WqFDlz5mThwoXY29sn+JTIfxs8eDDZsmXju+++M2svXrw4//zzD7/++qvFMTExMVy+fBknJ6dkvwcrVqwgOjqaDh06WNw3HTt2xNbW9pm2t5YtW5YWLVpw8OBBY5tj7ty5SZcuHfPnz08wWXnu3DkyZsxo1DgTERERERGRlyvNreCS15+HhwcPHz5k586djBkzxqzP3t4eNzc3goODjQLeK1asICYmJtGnEMYXDV+xYgXt2rUD4Nq1awmutHNxcUl0xY6VlRWjR4/G19eXzz//nJUrV5IjR45kX1eRIkXo2bMnY8eOtej78ssvuXPnDq1bt8bPz4/q1auTNWtWLl26xJo1a9i1axdubm4WheiT4+zZs0ZtrcePH3P69GlmzZqFra0tw4cPN8ZlypSJSZMm0bVrV5o1a4a/vz+lSpXiwYMHrF+/npUrV9KyZUvatm1rNr+zszM5cuRg/fr1fPbZZ2Z9VlZWeHp6smHDBmrUqGHU8Hqa7NmzM3z4cHr06GHWXq1aNRo0aMB3333HqVOnqFevHg4ODly/fp2FCxdy48YNJk+enOz3JSgoiHLlylGoUCGLvmzZslGrVi02btzInTt3cHBwSPa8AL169WLdunVMmDCBunXrkiVLFoYPH85nn33Ge++9R5s2bShevDiPHj1i586dzJs3jz59+mBvb5+i84iIiIiIiEjqUILrNRMdFUWf0T+98hhsbJ+9kLS9vT2urq4cO3YswZpN3t7eHDp0yFjdFRQURKlSpShevHiC81WvXh0HBwcCAwONBNeFCxcYPXq0xdj27ds/dUuao6Mjw4cPp2/fvgwaNIjp06en6No6dOjAunXrLFZqZcmShZkzZ7Jq1SpWrFjBiBEjCAsLI0eOHJQvX54pU6bg4+NjtnIquZ5MYtna2pI3b15q1apF165dyZMnj9nY0qVLs2zZMubOncuCBQu4evUqmTNnpkyZMkyfPp2aNWtazG9lZUWVKlVYt25dglsQvb29Wb16dYqeJFqvXj3q1avHhg0bzNonTJiAp6cnK1euZOjQoYSHh+Pg4ICXlxdjxowxVqMl5ciRI5w9e5ZBgwYlOqZp06Zs3LiRZcuW8dFHHyU7doAcOXLQs2dPRo4cyZQpUxgwYAC1a9dm0aJFzJgxg+nTp3P79m3Sp0+Pi4sLEydOTHKLtIiIiIiIiLw4VqbEHgEnzyQkJITatWsTHBz81D/WT5w4QenSpV9iZCLyqqXF7/2BcZ3Mfq/4+S+vKBIRERERkVfLf1ZPs99nf/jDK4rkvympfItWcIm8ZMl5iqO1tfUzrfYSERERERER+S9SgkvkJXvyCYaJadasmUX9MhERERERERFJmBJcIi/ZkiVLkhyTkuL3IiIiIiIiIv91SnCJvGRubm6vOgQRERERERGRN4qK/IiIiIiIiIiISJqmBNcrpAdYivx36PsuIiIiIiLy4ijB9YrY2try6NGjVx2GiLwkjx49wtbW9lWHISIiIiIi8kZSgusVyZMnD1euXCE8PFwrO0TeYCaTifDwcK5cuUKePHledTgiIiIiIiJvJBWZf0WyZs0KwNWrV4mKinrF0YjIi2Rra4ujo6PxvRcREREREZHUpQTXK5Q1a1b9wSsiIiIiIiIi8py0RVFERERERERERNI0JbhERERERERERCRNU4JLRERERERERETSNCW4REREREREREQkTVOCS0RERERERERE0jQluEREREREREREJE1TgktERERERERERNI0JbhERERERERERCRNU4JLRERERERERETSNCW4REREREREREQkTVOCS0RERERERERE0jQluEREREREREREJE1TgktERERERERERNI0JbhERERERERERCRNU4JLRERERERERETSNCW4REREREREREQkTVOCS0RERERERERE0jQluEREREREREREJE1TgktERERERERERNI0JbhERERERERERCRNU4JLRERERERERETSNCW4REREREREREQkTVOCS0RERERERERE0jQluEREREREREREJE1TgktERERERERERNI0JbhERERERERERCRNU4JLRERERERERETSNCW4REREREREREQkTVOCS0RERERERERE0jQluEREREREREREJE1TgktERERERERERNI0JbhERERERERERCRNU4JLRERERERERETSNCW4REREREREREQkTVOCS0RERERERERE0jQluEREREREREREJE1TgktERERERERERNI0JbhERERERERERCRNU4JLRERERERERETSNCW4REREREREREQkTVOCS0RERERERERE0jQluEREREREREREJE1TgktERERERERERNI0JbhERERERERERCRNU4JLRERERERERETSNCW4REREREREREQkTVOCS0RERERERERE0jQluEREREREREREJE1TgktERERERERERNI0JbhERERERERERCRNe6MSXAsWLKBBgwaUL18eX19fVq5cada/Y8cO3nvvPcqVK4ePjw8zZ860mOPYsWO0a9eOChUq4O3tzXfffUdUVNTLugQREREREREREUmhNybBFRgYyIgRI6hZsyZTp06latWq9O/fn3Xr1gFw8OBBunXrRrFixZg8eTK+vr6MGze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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Wykres Ilość aktywności per subject\n",
    "sns.set_style('white')\n",
    "plt.figure(figsize=(20,10))\n",
    "plt.title('Ilość aktywności per subject', fontsize=30)\n",
    "#ax = sns.displot(x='shadow-gravity-angle()',hue='Activity', data = train_df)\n",
    "ax = sns.countplot(x='subject',hue='Activity', data = train_df)\n",
    "ax.set_xlabel(\"Zmienna subject\",fontsize=30)\n",
    "ax.set_ylabel(\"Ilość\",fontsize=30)\n",
    "plt.savefig(\"graphics/00_acitivity_per_subject.png\", transparent=True, dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of numeric features: 571\n"
     ]
    }
   ],
   "source": [
    "# Zliczenie ilości kolumn numerycznych w zbiorze danych\n",
    "num_cols = train_df._get_numeric_data().columns\n",
    "print(\"Number of numeric features:\",num_cols.size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('final_train.csv', index_col=0)\n",
    "columns = df.columns\n",
    "columns = columns.str.replace('[()]','')\n",
    "columns = columns.str.replace('[-]', '')\n",
    "columns = columns.str.replace('[,]','')\n",
    "df.columns = columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 2119.53x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_palette('Set2')\n",
    "sns.set(font_scale=4,style='ticks')\n",
    "wykres = sns.FacetGrid(df, hue='Activity', size=10,aspect=2)\n",
    "wykres.map(sns.distplot,'fBodyAccMagmean', hist=True).add_legend()\n",
    "arrowprops=dict(arrowstyle='fancy',connectionstyle='arc3,rad=0.1')\n",
    "plt.savefig(\"graphics/00_exploratoryg_of_histograms.png\", transparent=True, dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}