Анализ маркетинговой стратегии компании.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4c477fc4",
   "metadata": {},
   "source": [
    "## Анализ маркетинговой стратегии компании"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e7a82498",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "84c02652",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings \n",
    "warnings.simplefilter(action='ignore', category=FutureWarning) #Игнорирование предупреждения FutureWarning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "554e9ed0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        }</style><table id=\"T_2d901_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >age</th>        <th class=\"col_heading level0 col1\" >job</th>        <th class=\"col_heading level0 col2\" >marital</th>        <th class=\"col_heading level0 col3\" >education</th>        <th class=\"col_heading level0 col4\" >default</th>        <th class=\"col_heading level0 col5\" >housing</th>        <th class=\"col_heading level0 col6\" >loan</th>        <th class=\"col_heading level0 col7\" >contact</th>        <th class=\"col_heading level0 col8\" >month</th>        <th class=\"col_heading level0 col9\" >day_of_week</th>        <th class=\"col_heading level0 col10\" >duration</th>        <th class=\"col_heading level0 col11\" >campaign</th>        <th class=\"col_heading level0 col12\" >pdays</th>        <th class=\"col_heading level0 col13\" >previous</th>        <th class=\"col_heading level0 col14\" >poutcome</th>        <th class=\"col_heading level0 col15\" >emp.var.rate</th>        <th class=\"col_heading level0 col16\" >cons.price.idx</th>        <th class=\"col_heading level0 col17\" >cons.conf.idx</th>        <th class=\"col_heading level0 col18\" >euribor3m</th>        <th class=\"col_heading level0 col19\" >nr.employed</th>        <th class=\"col_heading level0 col20\" >y</th>    </tr></thead><tbody>\n",
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       "                        <td id=\"T_2d901_row0_col0\" class=\"data row0 col0\" >56</td>\n",
       "                        <td id=\"T_2d901_row0_col1\" class=\"data row0 col1\" >housemaid</td>\n",
       "                        <td id=\"T_2d901_row0_col2\" class=\"data row0 col2\" >married</td>\n",
       "                        <td id=\"T_2d901_row0_col3\" class=\"data row0 col3\" >basic.4y</td>\n",
       "                        <td id=\"T_2d901_row0_col4\" class=\"data row0 col4\" >no</td>\n",
       "                        <td id=\"T_2d901_row0_col5\" class=\"data row0 col5\" >no</td>\n",
       "                        <td id=\"T_2d901_row0_col6\" class=\"data row0 col6\" >no</td>\n",
       "                        <td id=\"T_2d901_row0_col7\" class=\"data row0 col7\" >telephone</td>\n",
       "                        <td id=\"T_2d901_row0_col8\" class=\"data row0 col8\" >may</td>\n",
       "                        <td id=\"T_2d901_row0_col9\" class=\"data row0 col9\" >mon</td>\n",
       "                        <td id=\"T_2d901_row0_col10\" class=\"data row0 col10\" >261</td>\n",
       "                        <td id=\"T_2d901_row0_col11\" class=\"data row0 col11\" >1</td>\n",
       "                        <td id=\"T_2d901_row0_col12\" class=\"data row0 col12\" >999</td>\n",
       "                        <td id=\"T_2d901_row0_col13\" class=\"data row0 col13\" >0</td>\n",
       "                        <td id=\"T_2d901_row0_col14\" class=\"data row0 col14\" >nonexistent</td>\n",
       "                        <td id=\"T_2d901_row0_col15\" class=\"data row0 col15\" >1.100000</td>\n",
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       "                        <td id=\"T_2d901_row0_col20\" class=\"data row0 col20\" >no</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2d901_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_2d901_row1_col0\" class=\"data row1 col0\" >57</td>\n",
       "                        <td id=\"T_2d901_row1_col1\" class=\"data row1 col1\" >services</td>\n",
       "                        <td id=\"T_2d901_row1_col2\" class=\"data row1 col2\" >married</td>\n",
       "                        <td id=\"T_2d901_row1_col3\" class=\"data row1 col3\" >high.school</td>\n",
       "                        <td id=\"T_2d901_row1_col4\" class=\"data row1 col4\" >unknown</td>\n",
       "                        <td id=\"T_2d901_row1_col5\" class=\"data row1 col5\" >no</td>\n",
       "                        <td id=\"T_2d901_row1_col6\" class=\"data row1 col6\" >no</td>\n",
       "                        <td id=\"T_2d901_row1_col7\" class=\"data row1 col7\" >telephone</td>\n",
       "                        <td id=\"T_2d901_row1_col8\" class=\"data row1 col8\" >may</td>\n",
       "                        <td id=\"T_2d901_row1_col9\" class=\"data row1 col9\" >mon</td>\n",
       "                        <td id=\"T_2d901_row1_col10\" class=\"data row1 col10\" >149</td>\n",
       "                        <td id=\"T_2d901_row1_col11\" class=\"data row1 col11\" >1</td>\n",
       "                        <td id=\"T_2d901_row1_col12\" class=\"data row1 col12\" >999</td>\n",
       "                        <td id=\"T_2d901_row1_col13\" class=\"data row1 col13\" >0</td>\n",
       "                        <td id=\"T_2d901_row1_col14\" class=\"data row1 col14\" >nonexistent</td>\n",
       "                        <td id=\"T_2d901_row1_col15\" class=\"data row1 col15\" >1.100000</td>\n",
       "                        <td id=\"T_2d901_row1_col16\" class=\"data row1 col16\" >93.994000</td>\n",
       "                        <td id=\"T_2d901_row1_col17\" class=\"data row1 col17\" >-36.400000</td>\n",
       "                        <td id=\"T_2d901_row1_col18\" class=\"data row1 col18\" >4.857000</td>\n",
       "                        <td id=\"T_2d901_row1_col19\" class=\"data row1 col19\" >5191.000000</td>\n",
       "                        <td id=\"T_2d901_row1_col20\" class=\"data row1 col20\" >no</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2d901_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_2d901_row2_col0\" class=\"data row2 col0\" >37</td>\n",
       "                        <td id=\"T_2d901_row2_col1\" class=\"data row2 col1\" >services</td>\n",
       "                        <td id=\"T_2d901_row2_col2\" class=\"data row2 col2\" >married</td>\n",
       "                        <td id=\"T_2d901_row2_col3\" class=\"data row2 col3\" >high.school</td>\n",
       "                        <td id=\"T_2d901_row2_col4\" class=\"data row2 col4\" >no</td>\n",
       "                        <td id=\"T_2d901_row2_col5\" class=\"data row2 col5\" >yes</td>\n",
       "                        <td id=\"T_2d901_row2_col6\" class=\"data row2 col6\" >no</td>\n",
       "                        <td id=\"T_2d901_row2_col7\" class=\"data row2 col7\" >telephone</td>\n",
       "                        <td id=\"T_2d901_row2_col8\" class=\"data row2 col8\" >may</td>\n",
       "                        <td id=\"T_2d901_row2_col9\" class=\"data row2 col9\" >mon</td>\n",
       "                        <td id=\"T_2d901_row2_col10\" class=\"data row2 col10\" >226</td>\n",
       "                        <td id=\"T_2d901_row2_col11\" class=\"data row2 col11\" >1</td>\n",
       "                        <td id=\"T_2d901_row2_col12\" class=\"data row2 col12\" >999</td>\n",
       "                        <td id=\"T_2d901_row2_col13\" class=\"data row2 col13\" >0</td>\n",
       "                        <td id=\"T_2d901_row2_col14\" class=\"data row2 col14\" >nonexistent</td>\n",
       "                        <td id=\"T_2d901_row2_col15\" class=\"data row2 col15\" >1.100000</td>\n",
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       "                        <td id=\"T_2d901_row2_col17\" class=\"data row2 col17\" >-36.400000</td>\n",
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       "                        <td id=\"T_2d901_row2_col19\" class=\"data row2 col19\" >5191.000000</td>\n",
       "                        <td id=\"T_2d901_row2_col20\" class=\"data row2 col20\" >no</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2d901_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_2d901_row3_col0\" class=\"data row3 col0\" >40</td>\n",
       "                        <td id=\"T_2d901_row3_col1\" class=\"data row3 col1\" >admin.</td>\n",
       "                        <td id=\"T_2d901_row3_col2\" class=\"data row3 col2\" >married</td>\n",
       "                        <td id=\"T_2d901_row3_col3\" class=\"data row3 col3\" >basic.6y</td>\n",
       "                        <td id=\"T_2d901_row3_col4\" class=\"data row3 col4\" >no</td>\n",
       "                        <td id=\"T_2d901_row3_col5\" class=\"data row3 col5\" >no</td>\n",
       "                        <td id=\"T_2d901_row3_col6\" class=\"data row3 col6\" >no</td>\n",
       "                        <td id=\"T_2d901_row3_col7\" class=\"data row3 col7\" >telephone</td>\n",
       "                        <td id=\"T_2d901_row3_col8\" class=\"data row3 col8\" >may</td>\n",
       "                        <td id=\"T_2d901_row3_col9\" class=\"data row3 col9\" >mon</td>\n",
       "                        <td id=\"T_2d901_row3_col10\" class=\"data row3 col10\" >151</td>\n",
       "                        <td id=\"T_2d901_row3_col11\" class=\"data row3 col11\" >1</td>\n",
       "                        <td id=\"T_2d901_row3_col12\" class=\"data row3 col12\" >999</td>\n",
       "                        <td id=\"T_2d901_row3_col13\" class=\"data row3 col13\" >0</td>\n",
       "                        <td id=\"T_2d901_row3_col14\" class=\"data row3 col14\" >nonexistent</td>\n",
       "                        <td id=\"T_2d901_row3_col15\" class=\"data row3 col15\" >1.100000</td>\n",
       "                        <td id=\"T_2d901_row3_col16\" class=\"data row3 col16\" >93.994000</td>\n",
       "                        <td id=\"T_2d901_row3_col17\" class=\"data row3 col17\" >-36.400000</td>\n",
       "                        <td id=\"T_2d901_row3_col18\" class=\"data row3 col18\" >4.857000</td>\n",
       "                        <td id=\"T_2d901_row3_col19\" class=\"data row3 col19\" >5191.000000</td>\n",
       "                        <td id=\"T_2d901_row3_col20\" class=\"data row3 col20\" >no</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2d901_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_2d901_row4_col0\" class=\"data row4 col0\" >56</td>\n",
       "                        <td id=\"T_2d901_row4_col1\" class=\"data row4 col1\" >services</td>\n",
       "                        <td id=\"T_2d901_row4_col2\" class=\"data row4 col2\" >married</td>\n",
       "                        <td id=\"T_2d901_row4_col3\" class=\"data row4 col3\" >high.school</td>\n",
       "                        <td id=\"T_2d901_row4_col4\" class=\"data row4 col4\" >no</td>\n",
       "                        <td id=\"T_2d901_row4_col5\" class=\"data row4 col5\" >no</td>\n",
       "                        <td id=\"T_2d901_row4_col6\" class=\"data row4 col6\" >yes</td>\n",
       "                        <td id=\"T_2d901_row4_col7\" class=\"data row4 col7\" >telephone</td>\n",
       "                        <td id=\"T_2d901_row4_col8\" class=\"data row4 col8\" >may</td>\n",
       "                        <td id=\"T_2d901_row4_col9\" class=\"data row4 col9\" >mon</td>\n",
       "                        <td id=\"T_2d901_row4_col10\" class=\"data row4 col10\" >307</td>\n",
       "                        <td id=\"T_2d901_row4_col11\" class=\"data row4 col11\" >1</td>\n",
       "                        <td id=\"T_2d901_row4_col12\" class=\"data row4 col12\" >999</td>\n",
       "                        <td id=\"T_2d901_row4_col13\" class=\"data row4 col13\" >0</td>\n",
       "                        <td id=\"T_2d901_row4_col14\" class=\"data row4 col14\" >nonexistent</td>\n",
       "                        <td id=\"T_2d901_row4_col15\" class=\"data row4 col15\" >1.100000</td>\n",
       "                        <td id=\"T_2d901_row4_col16\" class=\"data row4 col16\" >93.994000</td>\n",
       "                        <td id=\"T_2d901_row4_col17\" class=\"data row4 col17\" >-36.400000</td>\n",
       "                        <td id=\"T_2d901_row4_col18\" class=\"data row4 col18\" >4.857000</td>\n",
       "                        <td id=\"T_2d901_row4_col19\" class=\"data row4 col19\" >5191.000000</td>\n",
       "                        <td id=\"T_2d901_row4_col20\" class=\"data row4 col20\" >no</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2a0d2d8a190>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bank = pd.read_csv('marketing_analysis_bank.csv', sep=';') \n",
    "bank.head()\n",
    "\n",
    "cm = sns.light_palette(\"yellow\", as_cmap=True) #Изменение дизайна таблицы\n",
    "bank.head().style.background_gradient(cmap=cm) #Вывод таблицы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1bba0f99",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 41188 entries, 0 to 41187\n",
      "Data columns (total 21 columns):\n",
      " #   Column          Non-Null Count  Dtype  \n",
      "---  ------          --------------  -----  \n",
      " 0   age             41188 non-null  int64  \n",
      " 1   job             41188 non-null  object \n",
      " 2   marital         41188 non-null  object \n",
      " 3   education       41188 non-null  object \n",
      " 4   default         41188 non-null  object \n",
      " 5   housing         41188 non-null  object \n",
      " 6   loan            41188 non-null  object \n",
      " 7   contact         41188 non-null  object \n",
      " 8   month           41188 non-null  object \n",
      " 9   day_of_week     41188 non-null  object \n",
      " 10  duration        41188 non-null  int64  \n",
      " 11  campaign        41188 non-null  int64  \n",
      " 12  pdays           41188 non-null  int64  \n",
      " 13  previous        41188 non-null  int64  \n",
      " 14  poutcome        41188 non-null  object \n",
      " 15  emp.var.rate    41188 non-null  float64\n",
      " 16  cons.price.idx  41188 non-null  float64\n",
      " 17  cons.conf.idx   41188 non-null  float64\n",
      " 18  euribor3m       41188 non-null  float64\n",
      " 19  nr.employed     41188 non-null  float64\n",
      " 20  y               41188 non-null  object \n",
      "dtypes: float64(5), int64(5), object(11)\n",
      "memory usage: 6.6+ MB\n"
     ]
    }
   ],
   "source": [
    "bank.info() #Общая информация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8846fbbc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age               0\n",
       "job               0\n",
       "marital           0\n",
       "education         0\n",
       "default           0\n",
       "housing           0\n",
       "loan              0\n",
       "contact           0\n",
       "month             0\n",
       "day_of_week       0\n",
       "duration          0\n",
       "campaign          0\n",
       "pdays             0\n",
       "previous          0\n",
       "poutcome          0\n",
       "emp.var.rate      0\n",
       "cons.price.idx    0\n",
       "cons.conf.idx     0\n",
       "euribor3m         0\n",
       "nr.employed       0\n",
       "y                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bank.isna().sum() #Пустые значения"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c3e6c76",
   "metadata": {},
   "source": [
    "Анализ распределения числовых признаков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "40d32e3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['age', 'duration', 'campaign', 'pdays', 'previous', 'emp.var.rate', 'cons.price.idx', 'cons.conf.idx', 'euribor3m', 'nr.employed']\n"
     ]
    }
   ],
   "source": [
    "numerical_features = [col for col in bank.columns if np.issubdtype(bank[col].dtype, np.number)] #Возвращает True, если первый аргумент является кодом типа ниже/равно в иерархии типов\n",
    "print(numerical_features) #Вывод числовых признаков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "125e0c32",
   "metadata": {},
   "outputs": [
    {
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       "            background-color:  #f3ecec;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row0_col7,#T_47c53_row6_col1,#T_47c53_row6_col4,#T_47c53_row6_col5,#T_47c53_row6_col6{\n",
       "            background-color:  #f3eaea;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row1_col1{\n",
       "            background-color:  #f3e3e3;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row1_col2,#T_47c53_row9_col1,#T_47c53_row9_col3,#T_47c53_row9_col4,#T_47c53_row9_col5,#T_47c53_row9_col6,#T_47c53_row9_col7{\n",
       "            background-color:  #ff0000;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_47c53_row1_col3,#T_47c53_row2_col1,#T_47c53_row2_col2,#T_47c53_row2_col3,#T_47c53_row2_col4,#T_47c53_row2_col5,#T_47c53_row3_col3,#T_47c53_row4_col3,#T_47c53_row4_col4,#T_47c53_row4_col5,#T_47c53_row5_col3,#T_47c53_row5_col4,#T_47c53_row5_col5,#T_47c53_row8_col1,#T_47c53_row8_col3,#T_47c53_row8_col4,#T_47c53_row8_col5,#T_47c53_row8_col6{\n",
       "            background-color:  #f3eeee;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row1_col4,#T_47c53_row6_col3{\n",
       "            background-color:  #f3e9e9;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row1_col5{\n",
       "            background-color:  #f3e7e7;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row1_col6{\n",
       "            background-color:  #f4e0e0;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row1_col7{\n",
       "            background-color:  #fe0e0e;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_47c53_row2_col6,#T_47c53_row4_col1,#T_47c53_row4_col6,#T_47c53_row4_col7,#T_47c53_row5_col1,#T_47c53_row5_col2,#T_47c53_row5_col6,#T_47c53_row5_col7,#T_47c53_row8_col2,#T_47c53_row8_col7{\n",
       "            background-color:  #f3efef;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row3_col1,#T_47c53_row3_col7{\n",
       "            background-color:  #f5c2c2;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row3_col2{\n",
       "            background-color:  #fc4343;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row3_col4{\n",
       "            background-color:  #f5c0c0;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row3_col5,#T_47c53_row3_col6{\n",
       "            background-color:  #f5c1c1;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row6_col7{\n",
       "            background-color:  #f3ebeb;\n",
       "            color:  #000000;\n",
       "        }#T_47c53_row9_col2{\n",
       "            background-color:  #f6aeae;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_47c53_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >count</th>        <th class=\"col_heading level0 col1\" >mean</th>        <th class=\"col_heading level0 col2\" >std</th>        <th class=\"col_heading level0 col3\" >min</th>        <th class=\"col_heading level0 col4\" >25%</th>        <th class=\"col_heading level0 col5\" >50%</th>        <th class=\"col_heading level0 col6\" >75%</th>        <th class=\"col_heading level0 col7\" >max</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_47c53_level0_row0\" class=\"row_heading level0 row0\" >age</th>\n",
       "                        <td id=\"T_47c53_row0_col0\" class=\"data row0 col0\" >41188.000000</td>\n",
       "                        <td id=\"T_47c53_row0_col1\" class=\"data row0 col1\" >40.024060</td>\n",
       "                        <td id=\"T_47c53_row0_col2\" class=\"data row0 col2\" >10.421250</td>\n",
       "                        <td id=\"T_47c53_row0_col3\" class=\"data row0 col3\" >17.000000</td>\n",
       "                        <td id=\"T_47c53_row0_col4\" class=\"data row0 col4\" >32.000000</td>\n",
       "                        <td id=\"T_47c53_row0_col5\" class=\"data row0 col5\" >38.000000</td>\n",
       "                        <td id=\"T_47c53_row0_col6\" class=\"data row0 col6\" >47.000000</td>\n",
       "                        <td id=\"T_47c53_row0_col7\" class=\"data row0 col7\" >98.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_47c53_level0_row1\" class=\"row_heading level0 row1\" >duration</th>\n",
       "                        <td id=\"T_47c53_row1_col0\" class=\"data row1 col0\" >41188.000000</td>\n",
       "                        <td id=\"T_47c53_row1_col1\" class=\"data row1 col1\" >258.285010</td>\n",
       "                        <td id=\"T_47c53_row1_col2\" class=\"data row1 col2\" >259.279249</td>\n",
       "                        <td id=\"T_47c53_row1_col3\" class=\"data row1 col3\" >0.000000</td>\n",
       "                        <td id=\"T_47c53_row1_col4\" class=\"data row1 col4\" >102.000000</td>\n",
       "                        <td id=\"T_47c53_row1_col5\" class=\"data row1 col5\" >180.000000</td>\n",
       "                        <td id=\"T_47c53_row1_col6\" class=\"data row1 col6\" >319.000000</td>\n",
       "                        <td id=\"T_47c53_row1_col7\" class=\"data row1 col7\" >4918.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_47c53_level0_row2\" class=\"row_heading level0 row2\" >campaign</th>\n",
       "                        <td id=\"T_47c53_row2_col0\" class=\"data row2 col0\" >41188.000000</td>\n",
       "                        <td id=\"T_47c53_row2_col1\" class=\"data row2 col1\" >2.567593</td>\n",
       "                        <td id=\"T_47c53_row2_col2\" class=\"data row2 col2\" >2.770014</td>\n",
       "                        <td id=\"T_47c53_row2_col3\" class=\"data row2 col3\" >1.000000</td>\n",
       "                        <td id=\"T_47c53_row2_col4\" class=\"data row2 col4\" >1.000000</td>\n",
       "                        <td id=\"T_47c53_row2_col5\" class=\"data row2 col5\" >2.000000</td>\n",
       "                        <td id=\"T_47c53_row2_col6\" class=\"data row2 col6\" >3.000000</td>\n",
       "                        <td id=\"T_47c53_row2_col7\" class=\"data row2 col7\" >56.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_47c53_level0_row3\" class=\"row_heading level0 row3\" >pdays</th>\n",
       "                        <td id=\"T_47c53_row3_col0\" class=\"data row3 col0\" >41188.000000</td>\n",
       "                        <td id=\"T_47c53_row3_col1\" class=\"data row3 col1\" >962.475454</td>\n",
       "                        <td id=\"T_47c53_row3_col2\" class=\"data row3 col2\" >186.910907</td>\n",
       "                        <td id=\"T_47c53_row3_col3\" class=\"data row3 col3\" >0.000000</td>\n",
       "                        <td id=\"T_47c53_row3_col4\" class=\"data row3 col4\" >999.000000</td>\n",
       "                        <td id=\"T_47c53_row3_col5\" class=\"data row3 col5\" >999.000000</td>\n",
       "                        <td id=\"T_47c53_row3_col6\" class=\"data row3 col6\" >999.000000</td>\n",
       "                        <td id=\"T_47c53_row3_col7\" class=\"data row3 col7\" >999.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_47c53_level0_row4\" class=\"row_heading level0 row4\" >previous</th>\n",
       "                        <td id=\"T_47c53_row4_col0\" class=\"data row4 col0\" >41188.000000</td>\n",
       "                        <td id=\"T_47c53_row4_col1\" class=\"data row4 col1\" >0.172963</td>\n",
       "                        <td id=\"T_47c53_row4_col2\" class=\"data row4 col2\" >0.494901</td>\n",
       "                        <td id=\"T_47c53_row4_col3\" class=\"data row4 col3\" >0.000000</td>\n",
       "                        <td id=\"T_47c53_row4_col4\" class=\"data row4 col4\" >0.000000</td>\n",
       "                        <td id=\"T_47c53_row4_col5\" class=\"data row4 col5\" >0.000000</td>\n",
       "                        <td id=\"T_47c53_row4_col6\" class=\"data row4 col6\" >0.000000</td>\n",
       "                        <td id=\"T_47c53_row4_col7\" class=\"data row4 col7\" >7.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_47c53_level0_row5\" class=\"row_heading level0 row5\" >emp.var.rate</th>\n",
       "                        <td id=\"T_47c53_row5_col0\" class=\"data row5 col0\" >41188.000000</td>\n",
       "                        <td id=\"T_47c53_row5_col1\" class=\"data row5 col1\" >0.081886</td>\n",
       "                        <td id=\"T_47c53_row5_col2\" class=\"data row5 col2\" >1.570960</td>\n",
       "                        <td id=\"T_47c53_row5_col3\" class=\"data row5 col3\" >-3.400000</td>\n",
       "                        <td id=\"T_47c53_row5_col4\" class=\"data row5 col4\" >-1.800000</td>\n",
       "                        <td id=\"T_47c53_row5_col5\" class=\"data row5 col5\" >1.100000</td>\n",
       "                        <td id=\"T_47c53_row5_col6\" class=\"data row5 col6\" >1.400000</td>\n",
       "                        <td id=\"T_47c53_row5_col7\" class=\"data row5 col7\" >1.400000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_47c53_level0_row6\" class=\"row_heading level0 row6\" >cons.price.idx</th>\n",
       "                        <td id=\"T_47c53_row6_col0\" class=\"data row6 col0\" >41188.000000</td>\n",
       "                        <td id=\"T_47c53_row6_col1\" class=\"data row6 col1\" >93.575664</td>\n",
       "                        <td id=\"T_47c53_row6_col2\" class=\"data row6 col2\" >0.578840</td>\n",
       "                        <td id=\"T_47c53_row6_col3\" class=\"data row6 col3\" >92.201000</td>\n",
       "                        <td id=\"T_47c53_row6_col4\" class=\"data row6 col4\" >93.075000</td>\n",
       "                        <td id=\"T_47c53_row6_col5\" class=\"data row6 col5\" >93.749000</td>\n",
       "                        <td id=\"T_47c53_row6_col6\" class=\"data row6 col6\" >93.994000</td>\n",
       "                        <td id=\"T_47c53_row6_col7\" class=\"data row6 col7\" >94.767000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_47c53_level0_row7\" class=\"row_heading level0 row7\" >cons.conf.idx</th>\n",
       "                        <td id=\"T_47c53_row7_col0\" class=\"data row7 col0\" >41188.000000</td>\n",
       "                        <td id=\"T_47c53_row7_col1\" class=\"data row7 col1\" >-40.502600</td>\n",
       "                        <td id=\"T_47c53_row7_col2\" class=\"data row7 col2\" >4.628198</td>\n",
       "                        <td id=\"T_47c53_row7_col3\" class=\"data row7 col3\" >-50.800000</td>\n",
       "                        <td id=\"T_47c53_row7_col4\" class=\"data row7 col4\" >-42.700000</td>\n",
       "                        <td id=\"T_47c53_row7_col5\" class=\"data row7 col5\" >-41.800000</td>\n",
       "                        <td id=\"T_47c53_row7_col6\" class=\"data row7 col6\" >-36.400000</td>\n",
       "                        <td id=\"T_47c53_row7_col7\" class=\"data row7 col7\" >-26.900000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_47c53_level0_row8\" class=\"row_heading level0 row8\" >euribor3m</th>\n",
       "                        <td id=\"T_47c53_row8_col0\" class=\"data row8 col0\" >41188.000000</td>\n",
       "                        <td id=\"T_47c53_row8_col1\" class=\"data row8 col1\" >3.621291</td>\n",
       "                        <td id=\"T_47c53_row8_col2\" class=\"data row8 col2\" >1.734447</td>\n",
       "                        <td id=\"T_47c53_row8_col3\" class=\"data row8 col3\" >0.634000</td>\n",
       "                        <td id=\"T_47c53_row8_col4\" class=\"data row8 col4\" >1.344000</td>\n",
       "                        <td id=\"T_47c53_row8_col5\" class=\"data row8 col5\" >4.857000</td>\n",
       "                        <td id=\"T_47c53_row8_col6\" class=\"data row8 col6\" >4.961000</td>\n",
       "                        <td id=\"T_47c53_row8_col7\" class=\"data row8 col7\" >5.045000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_47c53_level0_row9\" class=\"row_heading level0 row9\" >nr.employed</th>\n",
       "                        <td id=\"T_47c53_row9_col0\" class=\"data row9 col0\" >41188.000000</td>\n",
       "                        <td id=\"T_47c53_row9_col1\" class=\"data row9 col1\" >5167.035911</td>\n",
       "                        <td id=\"T_47c53_row9_col2\" class=\"data row9 col2\" >72.251528</td>\n",
       "                        <td id=\"T_47c53_row9_col3\" class=\"data row9 col3\" >4963.600000</td>\n",
       "                        <td id=\"T_47c53_row9_col4\" class=\"data row9 col4\" >5099.100000</td>\n",
       "                        <td id=\"T_47c53_row9_col5\" class=\"data row9 col5\" >5191.000000</td>\n",
       "                        <td id=\"T_47c53_row9_col6\" class=\"data row9 col6\" >5228.100000</td>\n",
       "                        <td id=\"T_47c53_row9_col7\" class=\"data row9 col7\" >5228.100000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2a0d798ff40>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bank[numerical_features].describe().T #Свойство T является методом доступа к transpose().\n",
    "\n",
    "cm = sns.light_palette(\"red\", as_cmap=True) #Изменение дизайна таблицы\n",
    "bank[numerical_features].describe().T.style.background_gradient(cmap=cm) #Вывод таблицы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d4ec426f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1296 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,18)) #Размер фигуры\n",
    "for index, col in enumerate(numerical_features):\n",
    "    plt.subplot(5, 2, index+1) #*args int, (int, int, index ) \n",
    "    sns.histplot(bank[col]) #Вывод графика числовых признаков"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82d8b754",
   "metadata": {},
   "source": [
    "Анализ распределений категориальных признаков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "be82db72",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['job', 'marital', 'education', 'default', 'housing', 'loan', 'contact', 'month', 'day_of_week', 'poutcome', 'y']\n"
     ]
    }
   ],
   "source": [
    "categorical_features = [col for col in bank.columns if pd.api.types.is_string_dtype(bank[col])] #Возвращает True, если первый аргумент является кодом типа ниже/равно в иерархии типов\n",
    "print(categorical_features) #Вывод категориальных признаков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1aa47693",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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vW4EdgGt5INEzlBvb9aNHUHfgGPavqg+OoD7t04wHAAe00769kOYFstsDT03y1FE+VShJkiRNWUkeRjNd2lXAs6vqyq7tG/bcsTHcKJfRjoJZACxWVSuOoj7AaoNsf9Qo+5ckSZIWmu/Y0Zipqhur6uiqehfNaJoVgY2BM9oqG49Dt9+jeaLv9cDLaKZtOKyqHvLOnx7+SPPy002SPHyEdRfqGNq5xH9SVa+jmTv8CcDTFqYtSZIkaYpamWbU/Gk9kjrL8cB0ZxPhDGCFJE8dYf2z2vVDpltLMouO9whJkiRJ483EjhZJkpe0T951W7Vd39ZOx3Yy8Ookbx+knae3o1pG6xCahMtb2wWapNKw2vcA/RBYHfjvJA/6eUiyXHuTRlVdQ/POnPWT7NPrmJM8Icnj2n8vlWSLtPNSdNRZgibhBc2UE5IkSdJMcQ3NNfBz2kQOcP818gE0iZ+Jsn+7/naSNbo3Jnl4kud3FB1FM33cG5Os31V9Dg9M1SZJkiSNO6di06L6IXBHklOA+UBoRrVsAJwJ/K6t90aakSrfbefV/gPNVGiPAZ5BM3plQ5qbvRGrqsuSnABsQTN/91+q6uxRNPG+tu93A5slORa4C3gcsDXwSuDEjrprA58E3tIe89XAGsC67THvAFwCLNMe+/wkfwAuBZamecfQusDPq+rvozlWSZIkaSqrqvuSfIXm3ZN/SXIUsCSwOc3DTye0/56IWI5LsiewH3Bh+x7MS2jeqbMWzcicU4CXtPVvSbIzcDhwcpLDgStpplt+GvB7YJOJiF2SJElyxI4W1Z7A6TTTJrwHeBvNy1H3ADYfmBKtqv4NPAf4KHAv8CZgV5p38vwL2AX4y0LGMLddP4xmarYRq6ob2hg+BtwN7Az8F/BU4CDgbx11b6K5wXs/zXt8XgN8kObm82Zgd5oXwELzvp89gPPb9nejSW7d1La//aiOUJIkSZoe9gE+BNxOcw/wamAe8Fya+4IJU1Wfp0nG/Ap4AfABmuv0RwMH0twjdNY/gibRcybwOpqHw66neUDtkomKW5IkSUrVaN8xKWmiPPbx69Run/lGv8OQ1OHDO2zZ7xAkSdNAkjOrqntKL80Aq6+5du34kQP6HYYkSdK09bn3b9OXfifyGt+p2KRJbLUVH+kfkSVJkiRJkiRJ93MqNkmSJEmSJEmSpCnCxI4kSZIkSZIkSdIUYWJHkiRJkiRJkiRpijCxI0mSJEmSJEmSNEU8rN8BSBrcZVcuYPfP/qLfYUiSJE1b++/9in6HIEmSJEmj4ogdTWlJ5iSpJJuNYx87tX3sNF59SJIkSZIkSZI0EiZ2JEmSJEmSJEmSpginYpOG91PgDODKfgciSZIkSZIkSZrZTOxIw6iqBcCCfschSZIkSZIkSZJTsakv2vfWHJnk4iS3J7kpyalJ3jxI/eck+XWSm9u6v0uy4RDtV5ITk6yW5KAkVye5NclpSTZu6zw8yReTXJrkziTnJdl+kFgf8o6dJPPbZdm2nX+17fwzyR5JsogfkyRJkiRJkiRJD+KIHfXL/wJ/A35PM8XZSsA2wPeTPKmq9hmomGQj4HfAksBPgH8CzwROBI4foo/lgVOBm4H/A1YE3gAc2yaFvtWW/RJYAtgBODzJZVV1xgiPYwngN8AawDHAPcB2wOeApYF9R9iOJEmSJEmSJEnDMrGjfnlaVV3UWZBkSZrkyJ5JvllVl7ejXg4ClgG2q6qjOurvBnx5iD7Wo0nevKeq7mv3+S1wCHACTdJns6q6o932fZpE0x7Aq0Z4HGsA5wJbVdXtbTv7AhcAuyf5bFXdPcK2JEmSJEmSJEkaklOxqS+6kzpt2V3A12kSjlu0xRsBTwJ+35nUaX0NeEg7HW4DPjKQ1GkdRjOqZgVgt4GkTtv/ycB8mtFAo7HrQFKnbeca4ChgVhu7JEmSJEmSJEljwsSO+iLJmkm+nuT8JLe177Ap4Mi2yqPb9bPb9UndbVTVvcApQ3RzQVXd3GOfq4Ebq+riHvtcDjxmFIeyoKr+2aP8sna9wijaAiDJzknmJZl3+60LRru7JEmSJEmSJGkacyo2Tbgkjwf+SJP0OJnmHTULgHuB2cCOwFJt9Vnt+upBmrtqiK4Gy4rcM8y20fxc3DhEOwCLj6ItAKrqQOBAgNUevXaNdn9JkiRJkiRJ0vRlYkf98EFgJeBtVTW3c0OSHWgSOwMGEjCrDdLWo8Y8OkmSJEmSJEmSJimnYlM/PLFdH9lj26ZdX581SDlJFgdeOIZxSZIkSZIkSZI0qTliR/0wv11vBvxioDDJ1sA7u+qeBvwD2CTJtlV1VMe29wFPGL8wx16SJwBLABdV1d39jkeSJEnSxHr0qrP43Pu36XcYkiRJmsIcsaN++AZwF/DjJIcm+UKSo4FjgCM6K1ZVAe8AbgeOTPKjJJ9N8ivgC8CvJzj2RXUc8Hfg0f0ORJIkSZIkSZI09ZjY0YSrqj8Dm9OMxtkG+C/gkcCrgW/2qH8qsDHwO+ClwPuBpWhG/PxhQoKWJEmSJEmSJGkScCo29UVVnQa8aJDN6VH/TOAlPeqeDszpUf8hbXRsmz3Ets16lM0F5o6ynTmDxDXoPpIkSZIkSZIkDccRO5IkSZIkSZIkSVOEI3akSeyxq89i/71f0e8wJEmSJEmSJEmThCN2JEmSJEmSJEmSpggTO5IkSZIkSZIkSVOEiR1JkiRJkiRJkqQpwnfsSJPYpfOv591v+0G/w5AkSdPINw9+c79DkCRJkiQtAkfsSJIkSZIkSZIkTREmdmaAJLOTVJK5I6y/U1t/p/GNbPJIsll7zHO6yk9MUn0KS5IkSZIkSZKkBzGxI0mSJEmSJEmSNEWY2JEkSZIkSZIkSZoiHtbvACRJkiRJmikuOu8yXvOU3fsdhqRp6Mi/7d/vECRJE8QROzNMkicn+VmS65PcmuSUJC8e4b6V5MRBts1tt8/use15SY5IclWSu5JcluRbSdZYiPgXT/LuJKcmWZDk9iT/TPKdJGt31Z2VZL8k/0hyR5IbkhybZMvR9tvV7pJJ3pfk6CSXJrmz/Tx/l+Slg+wzv10emeRL7b/v7n6njyRJkiRJkiRJQ3HEzszyOOB04K/At4DVgdcDxyR5Y1UdPtYdJnkb8G3gTuDnwGXA2sA7gVckeX5V/WuEbS0J/ArYsm3nMOAmYDbwKuAU4MK27vLAqcBTgD8BXwZWBl4H/CbJf1XVtxbysFYEDgBOA34L/Ifms3wFcHSSd1XVd3rstyRwfLv/b9rYL1nIGCRJkiRJkiRJM5CJnZllE+C/q+ojAwVJvkaT7PlmkmOq6qax6izJOjQJpPnAplV1ece2F9EkRQ6gScqMxByapM4vgO2r6s6O9pYCHtlR9/M0SZ0DgXdXVbX1Pg/MA76S5Niqmr8Qh3YDsFZV/buzMMksmmTSF5IcWlW3d+23OvA3ms/i1oXoV5IkSZIkSZI0wzkV28yyAPhkZ0FVzQMOBZZn5AmWkfovYAlgt86kTtvv8TQjeF6R5BHDNZRkceA9wO00iZo7O7dX1Z1V9Z+27hLAm4FbgL0GkjptvQuBr9CMnnnrwhxU29e/e5QvAA4CVgA2GGT3Dw2X1Emyc5J5SebdcceY5dkkSZIkSZIkSdOAI3ZmlrOq6uYe5ScCOwLPAr43hv1t2K43TdIr0bEqsDiwDnBmku2AZ3bVOaeqfgY8GZgF/KGqrhim3ycDywKnVtX1PbYfD3yM5ngXSpKnAh+hGQW1OrB0V5VH99jtDuDPw7VdVQfSjDRilZUfX8NUlyRJkiRJkiTNICZ2ZparBym/ql3PGuP+VmrXHxmyFizXrrejSTB1+h7wM5oRRQCXM7yB47hykO0D5csPsn1ISZ5Pkxx6GHAczcijm4D7aBJT2wJL9dj1ms7RQ5IkSZIkSZIkjZaJnZlltUHKH9WuFwyzfzH498zyPcoG2ps1knf3VNVOwE6DbL6xXfcaCTNYv48aZPvqXfVG62PAMsDmVXVi54Yke9EkdnoxqSNJkiRJkiRJWiS+Y2dmefYg77PZrF2fPcz+NwCP7S5s33/zzB71z2jXG48wvqGcT5PceUaSNYap+w/gNuCZSVbosX3zdn3WQsbyROD67qROa9OFbFOSJEmSJEmSpGGZ2JlZZgEf7yxIsj7wJprRKz8dZv8/AmsmeXFX+ceAtXrU/xpwN7B/knW6NyZZMsmIkj5VdS/wDZqRMt9M8qCpztq2Vmnr3gUcSjPF2ye76j0B2LWN6/sj6buH+cCKSZ7R1fY7gK0Xsk1JkiRJkiRJkoblVGwzy++BdyZ5HnAqzZRkr6dJ8O0ygunS/psmcXFUksOB64GNgMcBJ/LAyB8Aqur8JG8HDgLOS/Jr4AJgCWBNmpE8/wGePML49wWeB7wCuCDJL4GbaUYRvZjmXT5z27p7tu2/L8kGwAnAysDrgEcA76uqS0bYb7cv03wOpyT5EU1SbH3ghcARwGsXsl1JkiRJkiRJkobkiJ2Z5RKaRMwNwLtpkhxnAdtU1eHD7VxVxwHbAecBbwB2pBm98lzg0kH2+QHwHJoRNM8A3ge8mWY6syOA94w0+HYkzkuA9wNXt/2/v+3/p8ApHXWvBzYEvgCsBHwQ2J5m1NFLquobI+23Rxy/pkku/Y0mMfYO4E6aKd5+tbDtSpIkSZIkSZI0nFT5Pndpslpl5cfXa17xyeErSpIkjdA3D35zv0MQkOTMqlq/33Fo4q2wzGr1ose9sd9hSJqGjvzb/v0OQZJmtIm8xnfEjiRJkiRJkiRJ0hThO3akSWyt2Sv6VK0kSZIkSZIk6X6O2JEkSZIkSZIkSZoiTOxIkiRJkiRJkiRNESZ2JEmSJEmSJEmSpgjfsSNNYhf/7Qre8Ox9+h2GJGkS+eFZn+p3CJIkSZIkqY8csSNJkiRJkiRJkjRFmNjRhEgyP8n8ce5jpySVZKdFaGPc45QkSZI0tCQnJqmZ1rckSZI0EiZ2ZpAks9vEx9x+xyJJkiRJkiRJkkbPd+xoOvkpcAZw5SK0scUYxSJJkiRp4b0VWLbfQUiSJEmTkYkdTRtVtQBYsIhtXDRG4UiSJElaSFX1r37HIEmSJE1WTsU2QySZA1zSfrljOyVbdb+TJsnWSY5Ocm2SO5NclOSLSZYfpN3HJPlKkguT3JHk+iR/TLLPIPWXbdv7V9v+P5PskSRd9e6fNq799w/bmO5IMi/Jy3u0Peg7dkYaZ6937CSZleQjSY5P8u8kdyX5T5KfJ3n+IMdZ7dzcKyc5MMmV7fGel+RtvfaRJEmSZoIkr0xyXMc18hVJTkryno46D3nPTZLN2uvsOUmemeRXSW5Mclu7/0aD9Ld6koOTXJPk9iTnJNmxs71RxD6q+yVJkiRpPDhiZ+Y4EVge2A04F/hZx7ZzAJJ8HNgXuB74JXAN8Azgw8A2STasqpsGdkqyPnAssCLwe+AnNNMlPAWYA3yqK4YlgN8AawDHAPcA2wGfA5Zu++62FvBH4GLg+21frweOSrJlVZ0w3IEvRJzd1gU+0+77K+AGYE3glcBLk7yiqn7dY7/lgVOBu4Aj2mN8LXBQkvuq6nvDxS5JkiRNJ0l2Br4FXAX8ArgWWJXmvuNtwDdG0Mz6wP8DTge+Q3Nt/hrguCTPrKp/dPS3KnAaMJvmev404FFtP78ZZeyjul+SJEmSxouJnRmiqk5sR6LsBpxTVXM6tyfZnOYm5XRgm6q6sWPbTsDB7fbd27IlgR/TJEveVFWHdbX32B5hrEGTVNqqqm5v6+0LXADsnuSzVXV31z6bAXOq6v6kT5LDgF8DHwGGTOwsZJzd/g6sUVXXdu37GJqk0/5tPN3WA74L7FJV97b77A/8GdgDMLEjSZKkmWYXmgef1quqazo3JFl5hG28DHhbVc3t2HcX4Js09zvv6ai7H01S5wtVtUdH/S/TXMuPyGjvlyRJkqTx5FRsGrBru35X500KQHvDdA7wpo7iV9DcIP28O1nS7nPZYP0MJHXaetcARwGzgCf1qH8p8Omuto8F/gU8d7CDGYM4O+ss6E7qtOX/phmJ8+Qka/bY9TbggwNJnXafv9GM4lk3ySN69Zdk53a6uXl33nPrcOFJkiRJU809QPcDXfS65h7EqZ1JndZBbbv33yO0D3ntQPMezu57inOBQ0Ye8qjvlx7kwdf4tw9WTZIkSRoRR+xowIY0N1fbJ9m+x/YlgVWSrFRV1wED75Y5ZhR9LKiqf/YoH0iurNBj2zmdiZGufTYcQZ8LE+dDJHkBzdN/G9JMFbFkV5VH0ySbOl04yFQMA8e7PHBz98aqOhA4EGDFZdeo7u2SJEnSFHYo8D/AeUkOB06iSdT8ZxRtzOsuqKq7k1zNg+8pngQsA8yrqodcdwOnAO8cYZ+jvV/qju/+a/wVllnNa3xJkiQtEhM7GrASzffDJ4aptxxwHU1SAuDyUfRx4yDl97TrxUe5z0hGnC3frkcT54MkeRXNyJw7gN8CFwG3AvfRTBW3KbBUj11vHKTJoY5XkiRJmraq6ktJrqWZLm1X4ANAJTkJ+EhVPSRp08ONg5Tfw4OvsWe166sHqT9YeS+jvV+SJEmSxo2JHQ1YACxWVSuOsP6N7frR4xPOmLmxXS9KnJ+imQd8/ar6e+eGJN+iSexIkiRJYyLJ8Qu5a1XVFmMazDioqkOAQ5IsD2wEvAp4O3BsknW7372zCAZGz682yPbBynsZ7f2SJEmSNG5M7MwsA1Oa9RopcgbwsiRPrarzRtDWGe36pTQvKZ2sxiLOJwLn9UjqLAa8cBFikyRJknrZbCH3m1JTfLXvqjkaOLq9tn47sDFw5Bh1cT5wO/CMJI/oMR3baK7lR3u/JEmSJI2bkUxlpenjBpqbvTV7bNu/XX87yRrdG5M8PMnzO4p+AcwHXplkhx71J8tInrGIcz6wdufnkiQ00zA8ZWzClCRJkhpVtdhCLpN+qt8kL0nS6wHDVdv1bWPVV1XdBRxOMyXbx7riWA946yiaG+39kiRJkjRuHLEzg1TVLUn+AGyc5FDgAppRPD+vquOS7AnsB1yY5GjgEpo5oteimW7sFOAlbVt3tS8N/Q1wWJJdaJ5iWxpYF9iCSfD9NUZx7k8z2ufsJEfSvDT1BTRJnV8Arxin8CVJkqTp5ofAHUlOoXmAKjSjdDYAzgR+N8b97Qm8CPh/SZ4HnAasDryOZrTQdjTvzhzSaO+XJEmSpPHU9z+8a8K9hSZR8RJgB5obqX8Df66qzyc5leYlpi8EtqWZS/py4EDgsM6GqmpekmfS3Cy9lGZ+7JuBfzL8S0UnzKLGWVXfSnInzYtdd6SZzuFk4G3AazCxI0mSJI3UnsDWwLOBbYA7gEuBPYD/raq7x7Kzqro6yUbAZ9v+ngf8A3gPcCtNYuemQRt4cFujul+SJEmSxkuqptQ0zNKMsuKya9SLn/yOfochSZpEfnjWp/odgqQxkOTMqlp/IfZ7DPBoYKle26vq94sa20yR5DPA3sBLqurYiep3hWVWqxc97o0T1Z2kGeTIv+0/fCVJ0rhZ2Gv8heGIHWkSe/xT1uCH8/wDniRJ0kyX5MU0I++fPEzVSf+enYmWZI2quqKr7Ok0I2+uB07qS2CSJEnSQjKxI0mSJEmTWPtumF8C/wG+BryfJhnxD5r306wL/Bw4u18xTnLzkvwT+CvN9GtrAy8DFgPeXVV39DM4SZIkabQW63cAkiRJkqQh7U3zLpoNqmq3tuyEqno38DTgU8CWwBF9im+y+xbwCJp3jO5O836cY4EtqurQfgYmSZIkLQxH7EiSJEnS5LYh8POu6cQWA6jmpamfSLINsC/w2j7EN6lV1b40n40kSZI0LThiR5IkSZImt1nAvzq+vgt4eFedU4FNJiwiSZIkSX3jiB1pEjv/3AvYcPUt+x2GWqdf+bt+hyBJkmama4AVur5+QledJYBlJiwiSZIkSX3jiB3NKEkqyYkzPQZJkiRNKRfw4ETOGcBWSdYBSPIo4DXAhX2ITZIkSdIEM7GjaSXJ/CTz+x2HJEmSNIZ+DWyaZMX26wNoRuecneRPwPnAKsCX+xOeJEmSpIlkYkczzbrAW/sdhCRJkjQK36J5f87dAFV1KrA9cAnwNOBK4L+q6pC+RShJkiRpwviOHc0oVXV+v2OQJEmSRqOqbgL+0FX2U+Cn/YlIkiRJUj85Ykd9lWR2+86ZuUnWSXJ4kmuS3Jdks7bO1kmOTnJtkjuTXJTki0mW72hnsyQFrAWs1bY5sMztqPeQ99skmdOWb5bkjUn+kOSWzindkiybZK8k5yS5td1+epIdBjmuJZPs08Z6Z5JLknw6yVJj9+lJkiRpJkiySZI1h6nz2CSbTFRMkiRJkvrHETsdkjwWeBYwC1gAnF1Vl/U3qhnjCTRPIV4AHEozZ/hNST4O7AtcD/wSuAZ4BvBhYJskG7ZPMM5v632gbe/LHW2fM8IYPgRsBfwCOIHm+4A2gXQ8zffGWcBBNEnRrYHDkjy1qj420EiSAD8CtgUuAr4GLAm8HXj6CGORJEmSBpxAc637ySHqvLXdvviERCRJkiSpb0zsAEnWBr4BvKjHtuOB91bVBRMe2MzyQmC/qtp7oCDJ5jQ3sKcD21TVjR3bdgIObrfvXlXzgTltOVU1ZyFieBGwYVWd3VX+ZZqkzh5V9YWOGJYGfgbsneSIqjqn3bQDTVLnDGDzqrqjrf8J4E8LEZckSZJmtoywTo13IJIkSZL6b8ZPxZbkicBpwBbAxcAhwBfa9cVt+SltPY2fq2mSNJ12bdfv6kzqAFTVXJqROG8awxgO7E7qJFkJeDMwrzOp08ZwB7AHzU30Gzs2va1d7z2Q1GnrXw98agzjlSRJkgasCdzc7yAkSZIkjT9H7MB+wErAbsDXq+q+gQ1JFgPeD+wPfBZ4XV8inBnOrao7u8o2BO4Gtk+yfY99lgRWSbJSVV03BjH8sUfZBjTTWVSSOT22L9Gu1+0oezZwH3BKj/onDhdEkp2BnQGWXGzp4apLkiRpGmqnJO60WTPj70MsTpPUeQO9rz8lSZIkTTMmdpoROUdX1Ve7N7RJngOSvBjYcsIjm1mu6lG2Es336CeG2Xc5YCwSO4PFAE2CZ4NhYhgwC7i+qu4eYR8PUlUHAgcCLLfEI51OQ5IkaWaa0/HvAjZrl8FcDuw5fuFIkiRJmixM7DSjPs4Zps45wCbjHsnM1iuBsQBYrKpW7HMMAPtX1QdH2M4CYMUkS/RI7jxqoaOTJEnSTLJ5uw5wPDAX+F6PevfSPOT0j87ZByRJkiRNXyZ24FxguPfnPBH48wTEogc7A3hZkqdW1Xkj3OdemmTdWPkjzbRqG49in7NoRni9EDiha9tmYxOWJEmSprOqOmng30m+B/yss0ySJEnSzGVip3l3zk+TvLSqjunemORlwKuA7SY6MLE/8DLg20leW1VXdG5M8nDg6VV1RkfxdcAzkixTVbcvagBVdU2SQ4G3JNkH2K+q7umK4wnAfVV1SVt0ME1i5zNJXlRVd7T1VgQ+tqgxSZIkaWapqrf1OwaNnSc89bEcOW//fochSZKkKWzGJXaSvLVH8THAL5McB/weuBpYDdgUeBHwC2DlCQtSAFTVcUn2BPYDLkxyNHAJzfts1qI5P6cAL+nY7Tiad+H8OsnvgTuBc6vqF4sQyvuAtYFP0iR4TqH5HlkDWLftb4c2NoD/A14PvBL4a5KjgCWA1wJ/Ap6wCLFIkiRJkiRJkmawGZfYoZmbuvtdKmnXW7ZLt1cCrwAOGb+w1EtVfT7JqcCuNFObbUvzDpvLgQOBw7p2+TSwPM35egGwOM1c5Aud2Kmqm5JsCuwMvBF4DbA0TXLnQmB34Lcd9SvJ9jQvr92JJjF0Jc1Ink8CdyxsLJIkSZr+ktxHMx3wU6rqgvbrXu+D7FZVNRPv8SRJkqQZJVUjuT+YPpLsuLD7VlWvl5VK42a5JR5ZT1/5uf0OQ63Tr/xdv0OQJEnTRJIzq2r9QbadSJPIeUtV/bvj62FV1eZjFqTGxfrrr1/z5s3rdxiSJEkaY0Nd44+1Gfc0l8kZSZIkSZNZVW021NeSJEmSZrYZl9iRppInr7cOp89zlIgkSdJMlmQT4KaqOqffsUiSJEnqPxM7rSTLAq8GnkXzjpYFwFnAT6vq1j6GJkmSJGlmOwH4FvCefgciSZIkqf9M7ABJtgG+B6wIpGNTAfsneVtV/bIvwUmSJEma6a4Fbu93EJIkSZImhxmf2EnybOAnwOLAocDxwJXA6sCLgB2AI5K8oKrO7FugkiRJkmaqE4GN+h2EJEmSpMlhxid2gI/SjMzZuKrO6No2N8nXaW6k9gZeM8GxaYY7/9zz2fBRz+93GNKQTr+q+1enJEkaYx8D/pDkU8Anq+rufgckSZIkqX9M7MDGwI97JHUAqKo/JDkC2Hpiw5IkSZIkAPYC/krzsNk7kpwLXEXzgFqnqqp3THRwkiRJkiaWiR2YBVw2TJ1/AY+cgFgkSZIkqdtOHf9+VLv0UoCJHUmSJGmaM7EDVwDPHabO+jTv3ZEWSpLZwCXA96pqp/5GI0mSpCnmcf0OQJIkSdLkYWIHjgbenWRP4ItVde/AhiSLAbsDWwLf7FN8kiRJkmawqrq03zFIkiRJmjxM7MCngO2AzwC7JDmZZnTOo4AXArNp5q/+dJ/ikyRJkiRNE5f85ULe/ISX9jsMLaQfXHRMv0OQJElisX4H0G9VdRXwAuB3wFrAm4GPAG+hmfLgd8ALq2pMpmJLMjtJJZmb5AlJjkhyXZKbk/wmydPaeqskOTDJlUnuSPKnJJt3tbVGko8nOTXJVUnuSnJFksOSrDtM37OT/DDJtW3785K8vMc+s5J8JMnxSf7d9vGfJD9P8vwhjvNNSc5KcnuSa5J8v433xCTdL3kd2GfrJEe3Md2Z5KIkX0yyfI+689tluST7J7ms7eucJNu1dR6WZO8kF7bHeFGS9w0R88L0v2xb51/tPv9MskeSdNSdQzMNG8CO7TkYWHYaLB5JkiSpW5LFk6yWZM1eS7/jkyRJkjT+HLEDVNV8YOskjwaeBcwCFgBnV9Xl49TtbOAPwN+Bue3XrwJOTLIh8GvgJuBwYEXgDcAxSdapqn+1bWwC7AmcABwJ3AKsDbwWeGWSF1TVuT36Xgv4I3Ax8P22/dcDRyXZsqpO6Ki7Ls1opt8DvwJuANYEXgm8NMkrqurXnY0n+Qjwhbbu92g+y62AU9t/P0SSjwP7AtcDvwSuAZ4BfBjYJsmGVXVT125LAL9t4z8KWBLYATgyyYuB9wDPA44B7gS2B76a5D9VdfgY9f8bYI22j3toRn99Dli6bQ/gRGB5YDfgXOBnHW2c0+vzkCRJkjoleTrNdebmwFKDVCu8x5MkSZKmvVT1HDyhcZJkNg+M3vhYVX2mY9s+wCdpEiI/At5TVfe1294CHAJ8uap2b8tWBW6vqpu7+liPJolyclW9tKO8s+85VbVvx7ataZJJx1TVNh3ls4Alqurarj4eQ5McWlBV63aUPx74B3Aj8OyquqwtD3AYTYKKquoc0bI5cDxwOrBNVd3YsW0n4ODO427L59MkqH4JvLaq7mzLN6ZJQt0AXARsNdBeG9v5wHlV9awx6v8Y4DVVdXtbvipwQVttlaq6uy2fTfPZf6+qdmKElltiuXr6Sk8baXWpL06/6ox+hyBJ0pST5MyqWn+EdZ8M/Kn98njgFTQPDF0NPBtYmeZhr39V1dvGIVyNoZWWmlUvfcxG/Q5DC8mp2CRJ0mBGc42/qGbc01xJDqJ5km3vqrq6/Xqk7gT+Dfy0qv62iKHMp3nirtP3aBI7SwEfGUjqtA4DDgKeOVBQVdf0ariqzk1yPPDiJEsMJBc6XErXO4Oq6tgk/wKe21Xec4RNVf07yRHA+5Os2TGK6I0031dfHUjqtPUryZ40o2YW72pu13b9rs6kSrvf3CS7AW8CduehPjCQ1Gnrn5zkEppp9PbobK+qLk5yKrBxksWr6t4x6H/XgaROW/+aJEcBbwWeBPy1xz5DSrIzsDPAkostOdrdJUmSNP3sQzNafIOq+kuS+2juST6Z5OHAV4BtgJ36GKMkSZKkCTLjEjs0NzsFfJ7mCbedFqKNOUleWVWL8qjOOR2JhQFXtOsLukfhVNW9Sa4GHtNZnuRlwLuB9Wme1Os+pysD3e8H6tU3wGXAht2FSV5AM43YhsCqNFOedXo0MJDYGRgJc0p3O1V1aZLLaKad67QhcDewfZLte8S1JLBKkpWq6rqO8hur6qIe9a+gSeyc2WPb5TSJpUe1/16U/hdU1T971B9IaK3QY9uwqupA4EBoRuwsTBuSJEmaVjYDfllVf+koC0BV3ZpkF+DPwKcwuSNJkiRNezMxsfO4dn1519cjsTTNKIyv04ysWZTEzkNGwlTVPc2MZb3fQ0PzDpclBr5IsitwAM20Y7+lSa7cRpO42g5Yj97zb984RPuLdRYkeRVwBHBH28dFwK3AfTQ3mJt29TGrXV89SB9X89DEzko034ufGGSfAcsBD0qsDFLvHhh0tNE97XqJjrKF7f/GofrnoSOTJEmSpIWxMnBhx9f3AMsOfNHeR5xA885OSZIkSdPcjEvsVNWlQ309Av9oR7C8d+yiGr0kDwP2Ba6ieZfNlV3bHzLyZiF9CrgLWL+q/t7Vx7doEjudbmrXqwHn9WhvtR5lC4DFqmrFRYx1YfW7f0mSJGko19M8ZDTgWmDNrjp38cBDVpIkSZKmscWGr6IefkCfEzs0T+0tD5zWI6mzHM1LVMfCE4G/9UjqLAa8sEf9s9v1Q7YlWQt4bI99zgBWSPLURYx1YU1E/wNT3zmKR5IkSaN1EQ8e9X4msFWSVQHa9+xsC1wy8aFJkiRJmmgmdhZCVf2lqr7X5zCuoZl27TltIgeAJEvQTM+28hj1Mx9YO8kaHX2EZtqyp/SofxjN1BDvT/LYrn32o3diY/92/e3Ofjr2fXiS5y/0EQxvIvq/gWaKvO4nKyVJkqTh/AbYvE3gAHwTWBE4O8mPgb8AawHf6VN8kiRJkibQjJuKbbqoqvuSfAXYE/hLkqOAJYHNaW7yTmj/vaj2p7lxPDvJkcDdwAtokjq/AF7RFddFST4OfBY4N8nhNFOdbdXGdS7wjK59jkuyJ03i58IkR9M8bbgczQ3qpsApwEvG4HgeYiL6r6pbkvwB2DjJocAFNKN4fl5Vf17UY5AkSdK09m3gH8AywK1V9askHwDmAK+heeDr88BX+hWgJEmSpIljYmdq2wf4D/BOYBeaBMpvgY/RvH9nkVXVt5LcCXwA2BG4HTgZeBvNTeQreuyzX5J/Ax9s690MHAv8P5qnDW/qsc/nk5wK7Eozjdu27fFcDhxIMxJo3ExQ/2+hSZS9BNgBCPBvwMSOJEmSBtVOvXx4V9lXknydZqT+NVVVfQlOkiRJ0oSL1/+aKEkeCVwNnFNVG/Y7nqlguSWWq6ev9LR+hyEN6fSrzuh3CJIkTTlJzqyq9fsdhybeSkvNqpc+ZqN+h6GF9IOLjul3CJIkaZKayGt8R+xozCVZBbixqu7uKHsY8D/A0sBP+xXbVPPk9Z7M6fP8o7kkSdJMl+QxwO7AM4HHAEv0qFZV9YSJjEuSJEnSxDOxo/HwGuCTSX4HXEbzbp1NgHWAc4Cv9i80SZIkaWpJshlwNM1DUvfQjIK/p1fViYtKkiRJUr+Y2NF4+ANwCk0yZ6W27BLgM8Dnq+r2fgUmSZIkTUFfABYH3gocVlX39TkeSZIkSX1kYkdjrqrOBl7d7zgkSZKkaeLpwP9V1Q/6HYgkSZKk/lus3wFIkiRJkoZ0A3B9v4OQJEmSNDk4YkeaxC796z9555Ne3u8wJsR3/vHLfocgSZI0Wf0S2LTfQUiSJEmaHByxI0mSJEmT297ArCRfT/LwfgcjSZIkqb9M7GhKSTI/yfx+x7EoksxNUklm9zsWSZIkTX5VdS3wEuANwFVJzkxyfI/luPHov/saPMlO7fXsTuPR31STZLP285jT71gkSZI0MzgVmyRJkiRNYkmeCpwArNAWPWuQqjUxEUmSJEnqJ0fsSJIkSdLk9iVgJeDjwFrAElW1WI9l8QmK56fAuu1akiRJ0gRzxI4kSZIkTW4bAj+pqk/3OxCAqloALOh3HJIkSdJM5YidSWq4eZqHmuc6yeZJTkxyc5KbkvwqybqDtLNskr2SnJPk1iS3JDk9yQ5DxZRk/SS/TrIgyQ1Jjkzy2Lbe45P8MMl/ktye5IQk6/Vob+BdM49P8sEk5ye5I8m/k+yf5JGj+LyWSrJnkj8nua097pOTvK6r3pPbPo8foq2/JLk7yaO6yrdOcnSSa5PcmeSiJF9Msvwg7WzZxnBrkuuT/CzJk0d6TJIkSVLrLmD+eHaQxvuSnNdek1+e5GtJZvWo+6B37CRZOsmNSa5J0vPhwSTfbPd5WVf5Fu19xfVtvxck+dwg/Z7YtrFkko8n+Ud7XT63o85jknwlyYVte9cn+WOSfXq095j2GC9u27kuyc+TbDDIMayW5LtJrm7vc85JsuNwn60kSZI01kzsTD8vB34D3AR8EzgZ2AY4KcnKnRXbhMQpwGeBe4GDgO8BqwCHJRnsicAN2nYBvg38EXg1cFybuPgj8BjgEOBXwKbAb5MsN0h7+wP7ACcBBwDXAh8Ajk+y9HAHnGRJ4FhgP2AJ4OvA94F1gMOTfHagblWdTzM/+eZJ1unR1kbA04CjquqqjvKPA78Gntce01eAfwIfBk7tTkIleW0b0/rAj4Fv0UyfcTrwuOGOSZIkSepwIvDcce7jy8BXad7jcyDwQ+AlwO+AJYfasaruAA6nuY94aff2JEsBrwOuprlGHijfBfgt8ALgZ20M1wN7AKcN9gAVcCTwHuC0dp+/tO2tD5wLvB+4gube4lDgZmBOV0zPBs5p2/lHe+y/ADYBTkmyTVf9ldr+3g5c0PZ7Ds091+6DxClJkiSNC6dim362A7auquMGCpLsB+xJcxPyhY66X6Z58eoeVfWFjvpL09xY7Z3kiKo6p6uPbYA3V9WhHft8t23/NOB/quozHdv2AT4JvIPm5qrbC4BnVtWlbf29aJIhrwY+AnxqmGP+EE3y6BjglVV1T9vOvjRJpr2S/LKqTmvrfwPYHNiZJjHTaed2/a2O+DcH9qVJymxTVTd2bNsJOLjdvntbtly7/33AxlU1r6P+/jRJK0mSJGmk/h/whyR7Ap+vqhrLxtuHm3YFLgKeW1XXt+UfpXkoanXg0mGamUtzLb0jTYKk0ytpEkZf6rhWX4vmYalb2j7P74jnG8B/0dy77MxDrQU8raqu7dhnSZp7iBWBN1XVYV3H+NiOfz8M+BGwHLB5VZ3UsW0N4E/Ad5PMrqo72037AY8HvlxVu3fU/xrNfYIkSZI0YRyxM/38sDOp0zqwXd//lF/7xNmbgXmdSR24/4m7PYAAb+zRxymdSZ3W99r1AuBzXdsOadfPHCTmAwaSOm3/99EkdO6jSRYN5+1AAR8cuFFs27mGB5JC7+yo/zOaJ/h2ap8eBO4fwfQ6mhva33XU37Vdv6szqdP2MZfmSb03dRRvS3NDeVhnUqc1h2HmI0+yc5J5Sebdfu9dQ1WVJEnSzPAx4K/AZ4B/ppkG+aAey3cXsv23tevPDCR14P77gr1G0kBVnU4zkuUVSVbs2jwwXdn3OsreTDMS6GudSZ3WR2lG2byl83q9wz6dSZ3WK4DZwM+7kzptfJd1fPky4AnAVzuTOm29K2gSSo8CtgBIsgTN9f5DRv601/vd90YP0XmNf8d9XuNLkiRp0ThiZ/rpTiQADNzErNBRtgGwODDYe3yWaNe93s3Tq48r2vU5VXVv17bL2/VjeuwHzRRsD1JVFye5DJidZPnuhMqAJI8Anghc3uOGEGDgXTrP6mj7niTfAT4OvAYYuPF7C7AMcGDXU5AbAncD2yfZvkcfSwKrJFmpqq4Dnj3EcS1Icg7NCKOequpA2mTcKksvP6ZPY0qSJGlK2qnj349j8Kl9i2aU/GgNev1KMwXzPT3Ke/keTfLpDTSj5EmyGrA1cHZV/blHnw9592VV3ZDkbJpp0Z5MM71apz/26Pv57fqYEcS5Ybtea5B7obXb9brA0W0MywInV1Wvh7RO5IHkVU+d1/grLTXLa3xJkiQtEhM708+N3QVtIgOaRM6Aldr1Bu0ymF7vxel1M3PPYNs6+l+ie1vr6kHKr6KZZmEWPY6rNfBS1SsH2T5QvnxX+YHA3sAuPJDY2ZnmxbQHd9VdieZn5ROD9DFgOeC6jpiGOi5JkiRppMb7HY2DXr9W1b1JrhthO4fQjJjfkTaxQzPS5WE8eLROZ5+jvY6H3tfTA/Uu77Gt28C9UK+HtjoN3At5fS9JkqRJxcTO5HVfux7sHM1imCm9hjGw7/5V9cFFaGcsrEbzwtJuj2rXQx3nwLZHDbJ99V5tVNXlSX4BvCrJujSjmZ4GHF5V/+nRx2JV1T2lxHAxrTbI9sFilSRJkh6ic9ricdJ5/Xpx54Yki9MkQoZNmFTVv5McD2yZ5MntiPodaUa/d0+P1nkdf16P5npex7f99BrxcmO7fvRwcXa0uW1V/XwU9b2+lyRJ0qTgO3Ymrxva9WO7NyR5Ir2fXBuNP9IkjzZexHbGwkOmJUvyeJpjnz/YNGwAVXUzzTtxHp1k7R5VNm/XZ/XYNvAU4c488FLWb/WodwawQpKnDhZHl4G+eh3XLAZ/15AkSZLUD4Nev9LcL4zmgcC57XrHJM8EngEc0+PhqbPb9WbdDbTvvnwmcAfw9xH2e0a7fuko6o70Xuh84Dbgme31fLfNRtiOJEmSNCZM7Exe5wM3AdsmWXWgMMkywFcWtfGquobmJZ/rJ9knyUNu1pI8Icl4T/sAsFuStTr6XQz4Is33Z/e0aL0cBAT4YvtE4UA7KwP7dNTpdhzNC153BF4HXFBVJ/Sot3+7/naSNbo3Jnl4kud3FB1Fk5h7Y5L1u6rP4YGpHCRJkqTJYG67/miS+0epJ1ka2G+Ubf2E5j7mzTzwbqC5Per9gGYkz/vbB9c6fQp4JPCDqrpzhP3+ApgPvDLJDt0bk3SO5DmK5uGw9ybZpldjSTZMsixAVd1Nc+/0CJrr+c5669NMNydJkiRNGKdim6Sq6u4kB9AkJs5O8lOa87UVcEW7LKr30bwY9JPAW5KcQjNv9Bo0LwrdANgBuGQM+hrKqcA5SQ6nmeZga2A94EzgCyPY/79pnszbFjg3ydE0LzfdHlgV+EJVndK9U1VVkm8CX2qLeo3WoaqOS7InzU3thW37l9DMub0WzZONpwAvaevfkmRn4HDg5Pa4rgReSDPd2+9pXgQrSZIk9V1VnZrkq8D7gb8mOYIm6bItzQNLg70Hp1dbtyf5MfAO4D0076D8VY9685N8APg6cFaSHwH/obm23pDmQbc9RtHvXUm2B34DHJZkF5qROUvT3NtsQXv/295rvRo4FvhVktOAc2hG5TyW5j7o8TTTwd3WdrF328YH2mTOKe321wNHA68caaySJEnSonLEzuT2CWAvmikIdga2AY6kSXzcvaiNV9VNNDdO7weuBV4DfJBm+rKbgd2B3y5qPyOwO/BpmikMdgNWAQ4AXlRVdwy3c1XdRZPw+mhb9H6aUTgXAm+sqqFuCOfSTEl3Jw99oWtnH5+nScb8CngB8AGaxNGjgQOBj3XVP4Im0XMmzWigdwPX09ykjneiTJIkSRqt3WiuoxcAu9A84HUssCVw1yjbmtuulwD+r71ef4iq+gbNvc0ZPHAvsirN6P0Nq+r60XRaVfNopnD7X5oHsD4IvIVmGutPdNX9M83DZJ+nGVH/NuC/gOfQTBP3Fpp7pIH619LcBxwMPJnmfuCZ7T77I0mSJE2g9H7vpDT+ksylScA8rqrm9ymGzYATaKZ5eEs/YhjKKksvX9uu9cJ+hzEhvvOPX/Y7BEmSpAmT5Myq6p62VzPASkvNqpc+ZqN+h6GF9IOLjul3CJIkaZKayGt8p2LTTPf/2vXX+hrFINZ62hP5zjwTHpIkSZIkSZKkhokdzThJng68nGaahZcCv6yqP/Q3KkmSJEmSJEmShmdiRzPRc4DPAjcBP6Z5qaskSZIkSZIkSZPeYv0OQDNXVe1UVZno9+tU1dy231lV9br2RaiSJEmSJEmSJE16JnYkSZIkSZIkSZKmCKdikyaxqy+4mC9v9fp+hzHlfeC3h/c7BEmSJEmSJEkaE47YmUKS7JSkkuzUY9uLk5yW5Ia2zs8mPsLxlWR+kvn9jmNRJJnbnp/Z/Y5FkiRJkiRJkjT1OGJnGmiTBEcBNwIHAzcB5/cxJEmSJEmSJEmSNA5M7EwPWwJLAx+qqsP6HYwkSZIkSZIkSRofTsU2PazRrq/oaxSSJEmSJEmSJGlcmdgZJ0lemeS4JFcmuTPJFUlOSvKernorJtkvyd+T3J5kQbvfi0fQx2ZJCti3LTqhfX9LJdlsBPsvm2SvJOckuTXJLUlOT7LDYH0lmZNk/SS/bmO9IcmRSR7b1nt8kh8m+U97PCckWa9HewPvmnl8kg8mOT/JHUn+nWT/JI8cLv6OtpZKsmeSPye5LclNSU5O8rquek9u+zx+iLb+kuTuJI/qKt86ydFJrm3P50VJvphk+UHa2bKN4dYk1yf5WZInj/SYJEmSJEmSJEnqxcTOOEiyM807b54C/AL4H+BoYBngbR311gLOBPYE/gN8EzgcWBf4dZJ3DdPVfJqkzknt199rv9633TZUjMsDpwCfBe4FDmr3XwU4LMmnB9l1A+Dk9t/fBv4IvBo4rk1c/BF4DHAI8CtgU+C3SZYbpL39gX3aYzgAuBb4AHB8kqWHOob2OJYEjgX2A5YAvg58H1gHODzJZwfqVtX5wAnA5knW6dHWRsDTgKOq6qqO8o8Dvwae1x7TV4B/Ah8GTu1OQiV5bRvT+sCPgW8BKwGnA48b7pgkSZIkSZIkSRqM79gZH7sAdwHrVdU1nRuSrNzx5feAtYAdquqHHXWWB04EvpLk51V1da9Oqmo+MCfJHJoEytyqOnGEMX4ZeBawR1V9oaPvpYGfAXsnOaKqzunabxvgzVV1aMc+3wXeDpwG/E9VfaZj2z7AJ4F30CRuur0AeGZVXdrW34smGfJq4CPAp4Y5jg/RHPsxwCur6p62nX1pkkx7JfllVZ3W1v8GsDmwM01iptPO7fpbHfFvTpMoOx3Ypqpu7Ni2E3Bwu333tmy5dv/7gI2ral5H/f1pklaSJEmSJEmSJC0UR+yMn3uAu7sLq+pagHZ6sk2BIzuTOm2dG4FPAEsDrxnrwJKsBLwZmNeZ1Gn7vgPYAwjwxh67n9KZ1Gl9r10vAD7Xte2Qdv3MQcI5YCCp0/Z/H01C5z6aZNFw3g4U8MGBpE7bzjU8kBR6Z0f9n9G8i2inJEsNFLbJtNcBFwG/66i/a7t+V2dSp+1jLnAO8KaO4m2BFYHDOpM6rTk0n5EkSZIkSZIkSQvFETvj41Ca6dfOS3I4zTRjp1bVfzrqbNiuZ7Ujbrqt0q7XXZgA2tEks7uKT2xH9GwALA7UIH0vMUTf3ckKaBIlAOdU1b1d2y5v148ZJNSTuguq6uIklwGzkyzfnVAZkOQRwBOBy9tp1roNvEvnWR1t35PkO8DHaZJmh7Wb3kIzVd6BVVUdbWxIk6DbPsn2PfpYElglyUpVdR3w7CGOa0GSc2gSeoNqp/LbGWCFpZcdqqokSZIkSZIkaYYxsTMOqupLSa4F3kMz4uMDNEmUk4CPtCM5Vmqrb9Uugxns3TTD2YneCYQTO/reoF1G03evESf3DLatTaTAA8mibj2nmQOuopmmbhZw4yB1ZrXrKwfZPlC+fFf5gcDeNFPmDSR2dqaZPu/grror0fycfGKQPgYsB1zXEdNQxzWkqjqwjZHHPnLFGqa6JEmSJEmSJGkGMbEzTqrqEOCQdoqvjYBX0UwbdmySdXkgCbJbVX1lHPrfbIjNA33vX1UfHOu+R2k14B89yh/Vroeaumxg26MG2b56rzaq6vIkvwBe1Z6LFYCnAYd3jaoa2HexqlpxiDh6xbTaINsHi1WSJEmSJEmSpGH5jp1xVlU3VtXRVfUuYC7N+1c2Bs5oq2zch7D+SPMOm3703e0ho4qSPB54LDB/sGnYAKrqZpp34jw6ydo9qmzers/qse0b7fr+ac+Ab/WodwawQpKnDhZHl4G+eh3XLAZ/15AkSZIkSZIkScNyxM44SPIS4HdVdU/XplXb9W1VNS/JycCrk7y9qg7q0c7Tgaur6pqxjK+qrklyKPCWJPsA+3XHmuQJwH1VdclY9t3DbkkOqapL234XA75Ik3Tsnhatl4OAzwBfTPKagXf8JFkZ2KejTrfjgAuAHYGlgQuq6oQe9fYHXgZ8O8lrq+qKzo1JHg48vaoGEnVHATcAb0zy1XbavQFzeGCqNkmSJEkz0OOevjY/mHdMv8OQJEnSFGZiZ3z8ELgjySnAfCA0o2M2AM4EftfWeyNwPPDdJLsCf6B5n8xjgGfQTA+2ITCmiZ3W+4C1gU/SJHhOoXkvzBrAum2sOwDjndg5FTgnyeE005htDaxH8zl9YQT7/zfwUmBb4NwkRwPLAtvTJNK+UFWndO9UVZXkm8CX2qJeo3WoquOS7AnsB1zYtn8JzTt11qIZmXMK8JK2/i1JdgYOB05uj+tK4IU05/P3wCYjOC5JkiRJkiRJkh7CqdjGx57A6cCzgfcAbwOWAPYANq+quwGq6t/Ac4CPAvcCbwJ2pXknz7+AXYC/jEeAVXUTTVLi/cC1wGuAD9JMX3YzsDvw2/Hou8vuwKeBzYDdgFWAA4AXVdUdw+1cVXcBW9F8htAcz47AhcAbq2qPIXafSzMl3Z3A94bo4/M0yZhfAS8APkCTOHo0cCDwsa76R9Akes4EXge8G7ieJkk33okySZIkSZIkSdI0lqrqdwyagZLMpUnAPK6q5vcphs2AE4AfVNVb+hHDcB77yBXrQ8/bqt9hTHkf+O3h/Q5BkiTpQZKcWVXr9zsOTbz111+/5s2bN3xFSZIkTSkTeY3viB3NZP+vXX+tr1FIkiRJkiRJkjRCvmNHM0qSpwMvp5kC76XAL6vqD/2NanCrrfN4R5tIkiRJkiRJku5nYkczzXOAzwI3AT+meQeSJEmSJEmSJElTglOxqS+qaqeqykS/X6eq5rb9zqqq11XVtRPZvyRJkiRJkiRJi8LEjiRJkiRJkiRJ0hThVGzSJHbDv+Zz5PveMSZtveZr3x2TdiRJkiRJkiRJ/eOIHUmSJEmSJEmSpCnCxI76LsncJJVkdr9jkSRJkiRJkiRpMjOxI0mSJEmSJEmSNEWY2JEkSZIkSZIkSZoiTOxIkiRJkjRBFlz+L371sff2OwxJkiRNYSZ2NKQkm7Xvv5kzyPb5SeZ3fL1TW3+nJJsnOTHJzUluSvKrJOuOou/1klze7rtVR3m17a6c5MAkVya5M8l5Sd42SFuLJXl3kj8luSXJre2//yvJYl11r0jy7x5tXNr2vU9X+TZt+Sc7yu5/b1CSXZL8JckdSa5uY5410s9BkiRJkiRJkqQBJnY0Xl4O/Aa4CfgmcDKwDXBSkpWH2znJFsDvgQCbVNVvu6osD5wKbAgcARwCrAEclGTHHk1+H/hfYDXgO8CBwCrAN9ptnY4HHp3kyR3xPBFYs/1yi676L2rXx/Xo9wvtci7wdeBy4F3AT3vUlSRJkiRJkiRpSCZ2NF62A15SVa+sqo9U1cuAz9EkU94+1I5J3gwcQ5ME2bCqzulRbT2aZNEzq+r9VfUu4AXAvcAeXe3tALwROBt4SlV9oKp2B54KnAm8MckbO3Y5vl13JnAG/v1bYMMky3Ztux04vUeczweeXlVvrqoPAc9t4948yXOH+BgkSZIkSZIkSXoIEzsaLz+squ4RLAe260ETGkn2oBl98wfgBVV16SBVbwM+WFX3DhRU1d9oRvGsm+QRHXUHEkl7VtUtHfVv5YEk0Ds76g/E3Z3YuQb4CrAk8MI23pVokkynVNVdPeL8ZFX9q6PPe4CD2y97fg5Jdk4yL8m8m26/o1cVSZIkSZIkSdIMZWJH42Vej7LL2vUKg+yzP82onp8AW1XVDUO0f2FV3TREH8t3lD0buA84sUf9k2hG+TxroKBNJl1MM6pmsSQBNqNJ+JwE3MMDSZ/NaaaLO57eRv05VNWBVbV+Va3/yGWWHqRZSZIkSZIkSdJMZGJH4+XG7oJ2tArA4oPss0m7/mVVDTdU5SHtt3r1MQu4vteImjama9s6nY6jSQ49G3gGzRRyx1XVzcCfeCCxs0VH/ZHGOdznIEmSJEmSJElSTyZ2NJz72vXDBtnenRBZFNsB/wS+m+RdY9juAmDFJEt0b0jyMGBloHv0z8AInC15IHlzfMf6WUlWbLctAM4aw3glSZIkSZIkSerJxI6GMzAd2mO7NyR5Ig+e8mxRXUYzaucfwLeSvHeM2j2b5nt9kx7bNqEZOdOdmDkeKJrEzYuAi6vqknbbcW17bwHWBk7sfNePJEmSJEmSJEnjxcSOhnM+zWiWbZOsOlCYZBngK2PdWVVdCWwK/AX4WpIPjUGzB7Xr/ZIsO1DY/vtz7Zff7YrjGuA84AU0yZ/OqdZOA+4A9m6/Huz9OpIkSZIkSZIkjSkTOxpSVd0NHEAz5drZSb6W5JvAX4FHAFeMQ5//ATYH5gH/neSji9jeYcCPgA2A85Lsn+RLNMewAfCjqjq0x67HAcvQHOdxHe3dCZwKrNpRT5IkSZIkSZKkcWdiRyPxCWAvmlEqOwPbAEcCWwN3j0eHVXU9zTRopwGfTvKpRWxyB+C9wHXALsC7aaaZe1+7rZeBhE0BJwyy7eqqOm8RY5MkSZIkSZIkaURSVf2OQdIgnrDqyvWF1207Jm295mvfHb6SJEmSJkSSM6tq/X7HoYm39uqr1pffsT0v+/TX+x2KJEmSxtBEXuM/bCI6kbRwVlhztgkZSZIkSZIkSdL9nIpNkiRJkiRJkiRpijCxI0mSJEmSJEmSNEWY2JEkSZIkSZIkSZoiTOxIkiRJkiRJkiRNEQ/rdwCSBnfzNVdw/Nfn9DuMaeNF753T7xAkSZIkSZIkaZE4YkeSJEmSJEmSJGmKMLEjSZIkSRozSeYmqSSz+x2LJEmSNB2Z2JnG2pupE/sdhyRJkiRJkiRJGhsmdiRJkiRJkiRJkqYIEzuSJEmSJEmSJElThImdPkvyvCRHJLkqyV1JLkvyrSRrdNU7sZ1a7WFJ9k5yYZI72/qfT7JkR92dklT75abtfgPLnLbO7PbruUnWSXJ4kmuS3Jdks462tk5ydJJr2/4uSvLFJMv3OJb57TIrydeSXJ7kjiR/S7JrknTVH88Ylm3r/Kvd559J9uiOYbTnobOPQdqZ0x7TZl3l1Z7DRyX5TvvZ3Jtkp17tSJIkSeMhyWad9wU9tj/oWnfg3qJdb95e096c5KYkv0qy7ij6Xq+9Dr4pyVYd5QPXyisnOTDJle01/HlJ3jZIW4sleXeSPyW5Jcmt7b//K8liXXWvSPLvHm1c2va9T1f5Nm35JzvK7n9vUJJdkvylvde5uo151kg/B0mSJGlRPazfAcxk7U3Kt4E7gZ8DlwFrA+8EXpHk+VX1r67dDgM2Bo4BbgK2Af4fsCowcNNzDrAv8AngUmBux/4ndrX3BOAPwAXAocAybbsk+XjbzvXAL4FrgGcAHwa2SbJhVd3U1d6SwO+A5YEftl+/BjgAeBLw3h4fxVjHsATwG2CN9nO6B9gO+BywdNve/RbyPCyMFYEzgFuAnwD3AVePQbuSJEnSeHs5sC3N9fU3gafQ3ItskOQpVXXtUDsn2YLmGvhWYJOqOqeryvLAqcBdwBE01+2vBQ5Kcl9Vfa+r/veBN9Jcu38HKOBVwDeAFwJv6qh7PPCmJE+uqvPbeJ4IrNlu3wL4VEf9F7Xr43ocyheArYFf0NxzbA68C3hix36SJEnSuDKx0ydJ1gG+BcwHNq2qyzu2vQj4LU0y5FVduz4BeGpVXd/W/ShwLvDWJHtV1VXtTdI5ST4BzK+qOUOE8kJgv6rauyu+zWkSIKcD21TVjR3bdgIObrfv3tXe6sDFwNOq6s62/ieAPwHvSXJ4Vf1+nGNYo/1Mtqqq29v6+9IkjnZP8tmqurstX9jzsDCeTnMD+vaqumcM2pMkSZImynbA1lV1f7IjyX7AnsDbaRIePSV5M3AQ8E/gpVV1aY9q6wHfBXapqnvb/fYH/gzsAdyf2EmyA01S52yaJNEtbfnHgJOANyb5VVUd1u5yPE2iZwvg/LZsi3b9W5pZDpatqts6tt1Ocx/S7fnA0wce/ErysLb9zZM8t6r+ONjnIEmSJI0Vp2Lrn/+iGVmyW2cyAaCqjqcZOfKKJI/o2m+PgaROW/dWmlEuiwHrL0QcV9M1gqW1a7t+V2dCpe1zLs2ooDfR214DSZ22/vU88ARcr6kUxiOGXQeSOm39a4CjgFk0I4cGLOx5WBh3AR8eLqmTZOck85LMu/GW24aqKkmSJE2UH3YmdVoHtuvnDrZTkj2AQ2hG6L9gkKQOwG3ABweSOgBV9TeaUTzrdl2Pv71d7zmQ1Gnr30qTBIJm9P2Agbi36CjbgmY2gK/QzDLwwjbelWiSTKdU1V094vxk52j+9tr+4PbLoT6H+6/xF9x2+2DVJEmSpBFxxE7/bNiuN02yQY/tqwKLA+sAZ3aUz+tR97J2vcJCxHFuZxKmK767ge2TbN9j+5LAKklWqqrrOsrvAU7rUf/Edv2sCYhhQVX9s0f9Xp/Twp6HhTG/TTANqaoOpL1JftKaa9Qw1SVJkqSJsDD3IfvTjPQ5EnhzVd0xRPsX9phiubOP5YGb238/m2Za4xN71D8JuJeO+46qujTJxTSjahajmbZtM5oppE+iuYfZggemVgvNKJxeFup+rPMaf+3VV/UaX5IkSYvExE7/rNSuPzJMveU6v+geudIaGAGy+ELEcdUg5SvRfH98Ypj9lwM6kyrXdj5l16OfXi8VHesYbhykXq/PaaHOw0Ia7DglSZKkye7G7oKquicJDH4fskm7/uUwSZ2e7bd6XcPPAq7vNaKmjelamge0Oh1H8y6cZ9M8PLYKcFxV3ZzkTzwwmmeLjvojjXNR7sckSZKkUTOx0z8L2vWsQZ5MmyiDPS22AFisqlYcZXsrJ1m8R3LnUR3tjncMo7Ew5+E+mtFCvSw/xH4+mSdJkqR+u69dD3YvOIve1+wLYzuad+t8N8kSVfXtMWp3AbBi2+bdnRvad96sDHRf2x9Pk9jZkmaK5IGygfVeSVakSewsAM4ao1glSZKkMec7dvrnjHa98Tj2cR8L/9TYGcAKSZ46yv0eBmzUo3yzdn32BMQwGgtzHm4AVkuyRI9tC/OeI0mSJGmi3NCuH9u9IckTGfpBpdG6jGbUzj+AbyV57xi1ezbNvewmPbZtQnMP1J2YOZ7mQastgBcBF1fVJe2249r23gKsDZw4yCwEkiRJ0qRgYqd/vkYzBcD+Sdbp3phkySSLmvS5jh43bCO0f7v+dpI1ujcmeXiS5w+y735JluqouyLwsfbLg3vvMuYxjNTCnIc/0iSw3tZVdyfgBYsYjyRJkjSezqcZzbJtkvunK0uyDPCVse6sqq4ENgX+AnwtyYfGoNmD2vV+SZYdKGz//bn2y+92xXENcB7N9fomPHiqtdOAO4C9268He7+OJEmSNCk4FVufVNX5Sd5Oc1NyXpJfAxcASwBr0owg+Q/w5EXo5jjgDUl+AZxJM/fz76vq9yOI77gkewL7ARcmORq4hOZdM2vR3JydAryka9crgaWAvyb5eXs8rwVWB74xkr7HIIYRW8jz8FWapM7/JtmC5knE9WhGKv0SePnCxiNJkiSNp6q6O8kBwD7A2Ul+SnNfuBVwRbuMdZ//SbI5cCzw30mWrqrPLEJ7hyXZFngdzTX8z2hG42wHPA74UVUd2mPX44Cndfx7oL07k5zK8O/XkSRJkiYFEzt9VFU/SHIu8CFgc+DFwK00N1NHAIcvYhe78cB0A9vQjNDaFxhRcqWqPt/e4OwKvBDYlma+6cuBA4HDeux2F8281Z8F3kAzv/XFNE/OfXW0B7CQMYy2j1Gdh6r6W5KBY3wFTcLsZGBD4NWY2JEkSdLk9gngNpp3zuwMXAX8EJgD/G08Oqyq69uHoo4BPt0md/ZZhCZ3AE4C3g7s0pb9Hfgf4H8H2ec4HrhHOqHHti2Aq6vqvEWIS5IkSRp3qfJ97hobSeYDVNXs/kYyfTxpzTXqf/fYud9hTBsveu+cfocgSZIEQJIzq8r3M85Aa6++an35Hdvzsk9/vd+hSJIkaQxN5DW+I3akSewRq65hMkKSJEmSJEmSdL/F+h2AJEmSJEmSJEmSRsbEjiRJkiRJkiRJ0hThVGwaM75bR5IkSZIkSZKk8eWIHUmSJEmSJEmSpCnCETvSJHb7zQs496Sj+x3GmFhv0236HYIkSZIkSZIkTXmO2NGMkWR+kvn9jkOSJEmSJEmSpIVlYkd9k+TEJNXvOMZbks2SVJI5/Y5FkiRJkiRJkjS1mdiRJEmSJEmSJEmaIkzsSJIkSZIkSZIkTREmdjQukrwyyXFJrkxyZ5IrkpyU5D1JZrdTsG3a1q2O5cSONh70dVf7c9vts7vKk+R9Sc5LckeSy5N8LcmsYeLdIckJSW5o9/t7ko8lWapH3WqnkVs5yYEdx3hekrd1xwmc0H75ia5j3WyYj1GSJEmSJEmSpAd5WL8D0PSTZGfgW8BVwC+Aa4FVgWcAbwMOA/YFdgLWav89YP4idv9lYFfgSuBA4G5gW+B5wJLAXT3i/S7wduDfwE+AG4HnA58CtkiyVVXd07Xb8sCpbXtHAEsDrwUOSnJfVX2vrfezdr0jcBJwYkcb8xfyGCVJkiRJkiRJM5SJHY2HXWgSHutV1TWdG5KsXFU3AnPaEStrVdWcseg0yUY0SZ2LgOdW1fVt+UdpRs2sDlzatc9ONEmdnwJvqqrbO7bNAT4BvBc4oKu79YDvArtU1b1t/f2BPwN7AN8DqKqfJbmRJrFz4lgdqyRJkiRJkiRpZnIqNo2Xe2hGyzxIVV07jn0OTIP2mYGkTtvnHcBeg+yzG02sb+9M6rQ+BVwHvKnHfrcBHxxI6rT9/I1mFM+6SR6xcIcgSZIkSZIkSdLgHLGj8XAo8D/AeUkOp5mC7NSq+s849/vsdn1Sj20n0yRw7pdkWZqRN9cCH0jSq807gXV7lF9YVTf1KL+sXS8P3Dx8yA/VTmW3M8Dqq62yME1IkiRJkiRJkqYpEzsac1X1pSTXAu+hmRrtA0AlOQn4SFXNG6euZ7Xrq3vEdG+S67qKVwACrEIz5dpo3DhI+UDyaPFRtne/qjqQ5v1APPVJa9fCtiNJkiRJkiRJmn6cik3joqoOqarnAysBL6N5H80mwLFJVh1pMwyefFy+R9mCdr1a94Yki7ex9Kp/dlVlqGWE8UqSJEmSJEmSNK5M7GhcVdWNVXV0Vb0LmAusCGzcbr4X7k+69HID8Njuwrb+M3vUP6tdb9pj28Z0JYmq6hbgPOCpSVYc8kAWzcB7eBZ6FI8kSZIkSZIkSWBiR+MgyUuS9BppMzBS57Z2PTA12pqDNPVHYM0kL+4q/xiwVo/6c9v1RzsTNUmWBvYbpI8vAUsCByVZvntjkhWSPPshe43OcMcpSZIkaYaY9eg1edmnv97vMCRJkjSF+Y4djYcfAnckOQWYT/Mem42BDYAzgd+19Y4Dtgd+kuRo4Hbg0qr6frv9v4GtgaOSHA5cD2wEPA44Ediss9OqOjXJV4H3A39NcgRwN7AtzeifK7sDraqDkjyH5n1AFyU5FvgXzciix9FMH3cw8O5F+Dz+AVwOvCHJXW37BXy/qi5dhHYlSZIkSZIkSTOMiR2Nhz1pEjLPBrYB7gAuBfYA/req7m7rfYdm5M0bgP9H8/14EvB9gKo6Lsl2wMfbOrcCvwVeD+w7SN+7ARcA7wV2oRkt81Ngb+DcXjtU1XuTHEOTvNmS5v0919MkYL4I/GDUn8CD2783yauAzwGvAx5Bk+w6heZzkSRJkiRJkiRpRFJV/Y5B0iCe+qS167ADD+h3GGNivU236XcIkiRJk0aSM6tq/X7HoYm3/vrr17x58/odhiRJksbYRF7j+44dSZIkSZIkSZKkKcKp2KRJbJlHzHKkiyRJkiRJkiTpfo7YkSRJkiRJkiRJmiJ8x440iSW5GfhHv+PQmFkZuLbfQWjMeD6nF8/n9OL5nF6m6/lcq6pW6XcQmnhe488I0/X3lh7gOZ7+PMfTn+d4Zpjo8zxh1/hOxSZNbv/wpbrTR5J5ns/pw/M5vXg+pxfP5/Ti+dQ05DX+NOfvrenPczz9eY6nP8/xzDCdz7NTsUmSJEmSJEmSJE0RJnYkSZIkSZIkSZKmCBM70uR2YL8D0JjyfE4vns/pxfM5vXg+pxfPp6Ybv6enP8/x9Oc5nv48x9Of53hmmLbnOVXV7xgkSZIkSZIkSZI0Ao7YkSRJkiRJkiRJmiJM7EiSJEmSJEmSJE0RJnakSSbJY5IclOSKJHcmmZ/ky0lW6Hds012SlZK8M8lPk/wzye1JFiQ5Jck7kvT8nZlkoyRHJ7k+yW1J/pzkA0kWH6KvHZP8McktbR8nJnn5EPWXSbJvkn8kuSPJNUl+lGTdsTj2mSLJW5JUu7xzkDqez0kuycZJjkxyZft78sokv0myTY+6ns9JLMnL2nP37/Z37sVJfpxkw0Hqez77KMlrk3w1yclJbmp/l/5gmH0m5TmL11uaYH7PTT7tOahBlqsG2WdS/k6b6fz/afobzTlOMnuIn+1K8sMh+vEc90Gm2d9iPMcPNdpz7M/xCFWVi4vLJFmAJwBXAwX8DPgccHz79fnASv2OcTovwLvbz/oK4FBgP+Ag4Ma2/Ajad5N17LMtcA9wC/Bd4IvtuSrgx4P089/t9suA/YGvA9e1Ze/rUX8p4JR2+5+AzwOHAXcDtwLP6/dnNxUW4LHtuby5/Szf2aOO53OSL8DH2s/uP8DBwGdpXob4J+ALns+ps7SfVQHXAt9p/887ArgLuA94s+dzci3AOe1nczPw9/bfPxii/qQ8Z3i95TLBi99zk3MB5tNcG87psXy4R/1J+TvNxf+fZsIymnMMzG63nzPIz/drPceTa2Ea/S3Gczw259if4xF+rv0+sS4uLg8swLHtL4L3d5V/qS3/Zr9jnM4L8CLgFcBiXeWPAv7VnoPXdJQ/ErgGuBNYv6N8aeC0tv4butraqC3/J7BCR/ns9j+bO4DZXfvs1e7z487YaC5kCjivO2aXh5zbAL8DLqK54Cu6Ejuez8m/ANu3n9FvgUf02L6E53NqLO3v1XuBq4BVu7Zt3n52F3s+J9fSnpu129+pmzH0H1Um7TnD6y2XCV78npucC01iZ/4I607a32ku/v80E5ZRnuPZ7fa5o2jfc9zf8ztt/hbjOR6zc+zP8UiOud8n1sXFpVmAx7e/AC7p8UvjETRPIdwKPLzfsc7EBdi7PT9f7Sh7e1v2vR71X9RuO6mr/JC2/G099vlku23fjrIAl7blj+uxz+/bbZv3+zOazAuwG80IgE1onu4oHprY8XxO4oVm+tiL29+Dq4ygvudzEi/A89rP5qhBtt8E3Oz5nLwLw/9RZVKeM7zecpngxe+5ybswusTOpPyd5tLzXPn/0zRfRnCOZzP6Pwh7jifpwhT6W4zneEzPsT/HI1h8x440ebyoXf+mqu7r3FBVNwOnAssCz5/owAQ0wzChGeo7YOCc/bpH/d8DtwEbJVlqhPsc01UHmiGeawIXVNUlI9xHHdp5UT8HHFBVvx+iqudzctsIeBxwNHBDmnez7JFkt/R+H4vnc3K7kGbKtecmWblzQ5JNaC6Kf9dR7PmceibrOfN6SxPN77nJbakkb06yd3tNsfkg72aYrL/TNHqT9Vz6u2LsrZFkl/bne5ckzxiirud48ppKf4vxHC+cXud4gD/HQzCxI00eT2rXFwyy/cJ2vc4ExKIOSR4GvLX9svM/iEHPWVXdQ5PBfxhNRp8kDwceDdxSVVf26KrXOfb7YhG05+77NEN79x6muudzctugXV8NnAX8kiZh92XgtCQnJVmlo77ncxKrquuBPYDVgL8lOTDJfkl+BPyGZrq9XTp28XxOPZP1nHmeNdH8npvcHkVzrfgZmmuK44ELk2zaVW+y/k7T6E3Wc+n5H3tbAd+k+fn+JnBukhOSrNlZyXM8eU3Bv8V4jkdpiHM8wJ/jIZjYkSaPWe16wSDbB8qXH/9Q1OVzwNOAo6vq2I7y0Z6zhTnHfl8smo8DzwJ2qqrbh6nr+ZzcVm3X7waWAbakGdXxNJo5bjehmRd3gOdzkquqLwOvprnpehewJ817lC6jGXJ/TUd1z+fUM1nPmedZE83vucnrYGALmuTOw4GnA9+imf7lmCTrddSdrL/TNHqT9Vx6/sfObcCngOcAK7TLpsAJNNO4Hdf+EXiA53jymmp/i/Ecj95g59if4xEwsSNNHWnX1dcoZpgkuwIfAs4H3jLa3dv1aM/ZaOr7fTGIJM+lGaXzP1V1+lg02a49n/0xMC1KgNdW1XFVdUtVnQe8Cvg3sOkg07L14vnssyT/DzgCmEszDP7hNBfuFwOHJvnCaJpr157PqWOynjPPsyaa33N9UlX7VtXxVXV1Vd1WVX+tqnfTvPx4GZr3Mo7UZP2dptGbrOfS8z9CVXVNVX28qs6qqhvb5ffAi4E/AE8E3rkwTY+irud4EU3Tv8V4jjsMdY79OR4ZEzvS5DGQ1Z01yPZHdtXTOEvyXuAA4G80L0u7vqvKaM/ZcPV7Zf79vlgIHVOwXQDsM8LdPJ+T2w3t+uKqOrdzQzsaa+Dpnue2a8/nJJZkM+DzwM+r6oNVdXH7R7WzaBJ1lwMfSvL4dhfP59QzWc+Z51kTze+5qeeb7XqTjrLJ+jtNozdZz6Xnf5y1U3R9p/1yND/fnuMJNoX/FuM5HqERnOOe/Dl+MBM70uTxj3Y92DyMa7frweZx1BhK8gHga8Bfaf6TuapHtUHPWZtYeBzNy98uBqiqW2n+WLlcktV7tNfrHPt9sXCWo/nM1gXuSFIDC/CJts6327Ivt197Pie3gc/uxkG2DyR+lumq7/mcnF7erk/o3lBVtwF/pLlOfVZb7PmceibrOfM8a6L5PTf1DEwF2jnFy2T9nabRm6zn0vM/Mf7Tru//+fYcTy5T/G8xnuMRGOE5Hoo/xy0TO9LkMfDHrRcnedDPZpJHAC8AbgfOmOjAZpokewD7A+fQ/CdzzSBVj2/XL+mxbRNgWeC0qrpzhPu8tKsOwEXAv4B1kjxuhPsI7gS+O8hydlvnlPbrgWnaPJ+T2+9pLs7XTrJkj+1Pa9fz27Xnc3Jbql2vMsj2gfK72rXnc+qZrOfM6y1NNL/npp6BaV0v7iibrL/TNHqT9Vz6u2JiPL9dX9xV7jmeBKbB32I8x8MYxTkeij/HA6rKxcVlkiw0UwkV8P6u8i+15d/sd4zTfaGZtquAecCKw9R9JM2TAncC63eULw2c1rbzhq59NmrL/wms0FE+G7gOuAOY3bXPXu0+PwYW6yjfti0/r7PcZdhzPKf93N7p+ZxaC/CD9jP6dFf5VsB9NKN5lvd8Tv4FeF37+VwFPLpr20vb83k7sJLnc3IuNC8tLeAHg2yftOcMr7dcJnjxe27yLcBT6XGtD6wFXNiel707yift7zSXh5xD/3+a5ssIzvHzgCV7lL+oPVcFbOQ5nlwL0+RvMZ7jMTvH/hyPYEnbsaRJIMkTaP4TWhU4Cvg7zS+zzWmG8W1UVdf1L8LpLcmONC/xvhf4Kr3nxJxfVXM79tmO5uXfdwA/BK4HXgk8qS1/XXX9ok3yP8AHaV72fgSwJPB6YCWa/xi+1lV/KZonBDai+Q/wOGBNYHuap9lfVFV/WOgDn2GSzKGZju1dVfWdrm3b4fmctJKsCpxK86LEk2mm61qL5p0sBbyxqn7cUX87PJ+TUvt007HAlsDNwE9pkjzr0kzTFuADVXVAxz7b4fnsq/YcbNd++Shga5on5U5uy66tqg931Z9058zrLU00v+cmn/Z6cE+aJ28vofm/6AnAy2j+MHg08Kqquqtjn+2YhL/T5P9PM8FoznGSE2mStyfSnC+AZ9D8QRhgn6r6dI8+PMd9Mp3+FuM57m2059if4xGaqAySi4vLyBbgscDBwJXtL5FLaV4oNmQ222VMPvs5NH8cHmo5scd+L6C5+buB5gnzvwC7A4sP0deOwJ+AW2luJE8CXj5E/WWAfWmeILyT5umUHwNP6ffnNtUWBhmx4/mcGguwIs2TMJe0vyOvo7mYer7nc2otwBLAB2iGqd9EM9XeNcAvgRd7PiffMoL/J+dPlXOG11suE7z4PTe5FmBT4P+A82lG/N7d/u74LfBWaB6C7bHfpPydNtMX/3+a/stozjHwDprryfnALe1n/y/gcGDjYfrxHE/O8zul/hbjOV70c+zP8cgWR+xIkiRJkiRJkiRNEYsNX0WSJEmSJEmSJEmTgYkdSZIkSZIkSZKkKcLEjiRJkiRJkiRJ0hRhYkeSJEmSJEmSJGmKMLEjSZIkSZIkSZI0RZjYkSRJkiRJkiRJmiJM7EiSJEmSJEmSJE0RJnYkSZIkSZIkSZKmCBM7kiRp2kqyU5JKslO/Y5EkSZK06LzGlyQTO5IkSZIkSZIkSVOGiR1JkiRJkiRJkqQpwsSOJEkaVpLnJjk8yeVJ7kxyZZLfJHldV73XJfl9kgVJbk/ylyR7JVmqR5uV5MRB+pvbbp/dUTa7LZvb/vuHSa5NckeSeUle3tXGicDB7ZcHt/tWd7uSJEnSTOQ1viRNXQ/rdwCSJGlyS/Iu4H+Be4GfAxcCqwLrA+8BftTW+yywF3AtcBhwC/BS4LPA1km2qqq7xyCktYA/AhcD3wdWBF4PHJVky6o6oa03F7gR2BY4Cjino40bxyAOSZIkaUryGl+SpjYTO5IkaVBJngJ8A7gJ2Liqzuva/ph2veH/Z+++wySr6vyPvz9IEBEZgoIgOKzoghkcUTKYUVRYcwRdgrprRFbxZ0BRxJxQARXHuGAERRGVoIAgOyQVRFEYMiJpyEm+vz/ubSiKqg4z3VNd3e/X89Rzu84999xvnVvTc6u/dc6h+cB3MbBpVV3Rlu8N/BjYAdiL5gPgktoW2KeqPtgRx3eBX7TnOA6gquYngeZD3+FVNX8Szi1JkiQNNe/xJWn4ORWbJEkazRtpvgiyb/cHPoCquqT98fXt9sMjH/ja/XcCewJ3AbtOUkwXAh/uiuNo4CJg00k6hyRJkjRTeY8vSUPOxI4kSRrNU9vtUWPU26TdHtu9o6r+ClwCrJ9kziTEdGZV/atH+cXAqpPQviRJkjSTeY8vSUPOxI4kSRrNnHZ76Rj1Vmm3l/fZf3lXvSVxXZ/yO/HeRpIkSRrLnHbrPb4kDSl/MUqSpNFc127XGaPeona7Vp/9D+2qB1D0X+9vzliBSZIkSVos17Vb7/ElaUiZ2JEkSaM5pd1uP0a9M9rttt07kmwAPAy4oKqu69h1LbBuj/r3A544wTj7GZnO4X6T1J4kSZI07LzHl6QhZ2JHkiSN5ss00x+8L8mju3cmeVj74yHt9r1JHtyx/37AJ2nuOb7WdfipwHpJntVV/l7g4ZMQO8DV7Xa9SWpPkiRJGnbe40vSkOs3NFKSJImqOifJm4ADgTOSHAGcB6wOzANuALarqt8l+TjwP8CfkvwAuInmW4CPBU4EPtHV/CeBZwNHJDkMuAbYHFgfOJ4e3wxcDCcDNwNvS7Ia8I+2/AtVtaj/YZIkSdLM5D2+JA0/R+xIkqRRVdVXgC2BI2k+iO0FvAC4CvhiR713Aa+g+VD4WuAtNPca7wWeWVW3d7V7DLAjcDbwcmBnYCGwKXDhJMV+LfAi4BzgdcC+7WPVyWhfkiRJGkbe40vScEtVDToGSZIkSZIkSZIkjYMjdiRJkiRJkiRJkoaEiR1JkiRJkiRJkqQhYWJHkiRJkiRJkiRpSJjYkSRJkiRJkiRJGhImdiRJkiRJkiRJkoaEiR1JkiRJkiRJkqQhYWJHkiRJkiRJkiRpSJjYkSRJkiRJkiRJGhLLDjoASf2tscYaNXfu3EGHIUmSpEl22mmnXVVVDx50HFr6vMeXJEmamZbmPb6JHWkamzt3LgsWLBh0GJIkSZpkSS4cdAwaDO/xJUmSZqaleY/vVGySJEmSJEmSJElDwsSOJEmSJEmSJEnSkHAqNmkau+b6G/nOL08cdBjS0HnVs7YcdAiSJEmSJEnSlHDEjiRJkiRJkiRJ0pAwsSNJkiRJkiRJkjQkTOxIkiRJkiRJkiQNCRM7kiRJkiRJkiRJQ2LZQQcgSZIkSdJscfFl1/GW9x0+6DAkSZJmrM/vu+OgQ5hyjtjREkkyN0klmT8NYpnfxjJ30LFIkiRJkiRJkjQVTOxIiyHJo5Lc1CaSvj3oeCRJkiRJkiRJs4OJHc0kewMbAZdO5UmSLAt8C7hrKs8jSZIkSZIkSVI3EzuaMarq8qo6t6rumOJTvQd4IvD/pvg8kiRJkiRJkiTdi4kdTZokGyY5PMk17TRlJyZ5VledVZLsleTYJJckuT3JP5P8JMlT+7S7VZKftvVvS3JFklOSfKCrXt81dpJsmuSwJJe2bVye5JdJXjrB1zgPeB+wL/CHUfqhkhw7Sjt/THJHkrUmcn5JkiRJkiRJ0uxmYkeTZX3gZGB14CDg+8CTgKOSvKyj3kbAR2imMfsZ8GngV8DTgBOSPKez0fb58cCWwDHAp4DDgduAN40nsCS7Ab8Ddmy3n2rP/ZDxttG2syLwTeBMYP9+9arqXOA4YLskj+rRzubAY4EjquqK8Z5fkiRJkiRJkqRlBx2AZoytgU9W1V4jBUkOoEn2HJjkqKq6HvgzsHZVXdV5cJKHAacCnwF+0bFrN5oE5LZVdVbXMWuMFVSSRwNfAq4Htqqqs3ucd7z2B/4N2KSq7kwyWt0vAdsBuwPv7Nq3e7s9aALnliRJkiRJkiTJETuaNIuAD3UWVNUC4DvAHGCntmxRd1KnLb8E+AGwYZL1erR/S49j7tNOD2+kSWDu253U6TjvmJI8HXgz8P6qOmcchxwOXAbskmSFjnbmAC8F/g78us+5dk+yIMmC6xddN57wJEmSJEmSJEmzhIkdTZbTq+qGHuXHt9uNRwqSbJHke0kubte7qSRFkzgBWKfj+O+0298nOTDJyyY4ymZk3Z6jJnDMvbTJmK8Dv6eZxm1MVXUn8FWaqele1LHrNcCKwMFVVX2OPbiq5lXVvAetMmdxw5YkSZIkSZIkzUAmdjRZ/tGnfGQNmVUAkuwE/BZ4HnAacACwL/BB4Ddt3btHuFTVj4AdgDOA1wOHAhe3I1qeOY645rTbS8f7Qnr4NLAGsEtV/WsCxx0M3Ans0VG2O3A7TaJIkiRJkiRJkqQJcY0dTZY1+5Sv1W4Xtdt9aRIb86rqz50VkxwEbNPdQFX9DPhZkpWAp9Aket4IHJlk4zGmRruu3a4DnDuO19HLJjSjbM7ts67Oq5K8Cjirqp7YEfelSX4K7JRkI2BV4LHAYVX1z8WMRZIkSZIkSZI0i5nY0WTZJMnKPaZj27bdntFuNwDO7pHUWQbYcrQTVNVNwLHAsUmupVnTZ3tgtMTOKcC8tt7iJnZ+BCzoUf5Q4Lk06+UcD1zUo86XaNYX2p0msQNw0GLGIUmSJEmSJEma5UzsaLKsArwf2GukIMk84FU0o3V+3BYvBB6ZZO2quqytF+ADwKO7G03ydOB3VXVL166REUI3jxHXl4E3AO9LcnT36J4kD6uqSzqePwJYDvh7Vd0BUFUf6tVwkm1pEjunVNWufc5/DPBXYGfg/sBfq+q4MWKWJEmSJEmSJKknEzuaLL8Fdk3yFOAkmtEsL6NZx2mPqrq+rfcZ4EDgjCQ/BO4AtqBJ6vwUeH5Xu58C5iY5niYpdDvwJOBpwIU0a+70VVXnJHlTxzmPAM4DVqcZyXMDsF3HIccADwfWb8+3RKqqkhxIs04POFpHkiRJkiRJkrQElhl0AJoxLgA2B66lGSHzUuB04LlVddhIpao6CHgdcDnNKJZXARfTrJ1zeo929wOOAh4D7Nq2vWZb/uSqunaswKrqKzTTvB1JMzXcXsALgKuAL074lU7cfOAu4DbgG0vhfJIkSZIkSZKkGcoRO1oiVbUQSEfRC8dxzHyaZEe3PwL7dNX9HvC9ccayC7BLn30nAy8aRxtzx3Outu7x3Pu19/MEmiTq96vq6vG2L0mSJEmSJElSN0fsSFPvf9rtAQONQpIkSZIkSZI09ByxI02BJI8DdqBZD2h74Miq+v1go5IkSZIkSZIkDTsTO9LUeBLNOkDXA98H3jTYcCRJkiRJkiRJM4GJHWkKjLKOkCRJkiRJkiRJi801diRJkiRJkiRJkoaEI3akaWy1Bz2QVz1ry0GHIUmSJEmSJEmaJhyxI0mSJEmSJEmSNCRM7EiSJEmSJEmSJA0JEzuSJEmSJEmSJElDwsSOJEmSJEmSJEnSkDCxI0mSJEmSJEmSNCRM7EiSJEmSJEmSJA2JZQcdgKT+LrliEXt+7MhBhyFJ0ozyqXftMOgQJEmSJElabI7YkSRJkiRJkiRJGhImdiRJkiRJkiRJkoaEiR1JkiRJkiRJkqQhYWJHkiRJkjTrJJmbpJLMb38+NMlVSW5NsiDJfRbkSrJCkncn+UOSm5Ncn+SEJC8dxGuQJEnS7GRiR5IkSZI0mz0cOBWYC3wLOAx4LHBEku1GKiVZHjga+CiwHPDFtv6jgMOS7Ld0w5YkSdJsZWJnBuj8ptk46+/S1t9laZ53EJIcn6QGHUenJPu0/bbtoGORJEmSxLbAF6vqqVX19qraGXghzeflvTrq7QlsAxwFPK6q9qqq/wIeB1wI7J1k86UbuiRJkmYjEzuSJEmSpNnsQuDDnQVVdTRwEbBpR/HrgQLeUVV3dtS9Eti3fbrr1IYqSZIkmdiZrX4MbNRuJUmSJGk2O7Oq/tWj/GJgVYAkKwMbAJdV1bk96h7bbjfudYIku7fr9iy45abrJyNmSZIkzWLLDjoALX1VtQhYNOg4JEmSJGkauK5P+Z3c82XIVdrt5X3qjpTP6bWzqg4GDgZYc+0NptVU0ZIkSRo+jtiZYdp1bw5NclWSW9tvhe3QVafvGjtJnp3kpCQ3JbkmyeFJNkwyvz1m7uKedxyxvyDJMUkuT3JbksuS/CbJm3rUXS3JR5L8KcnNSRYlOSvJ/klW6lF/2STvSXJe2/bFST7WLoDaK5anJ/lF2we3Jvlr2/Yqfeo/Msk3k1ya5PY29m8meeRE+kCSJEnStDTyxbi1+ux/aFc9SZIkacqY2JlZHg6cCswFvgUcBjwWOCLJdmMdnORlwM9ppg/4PnAQzdQDJ7dtTsl523PvDhwBPBr4KfCpNpYVgdd11V0fOB14D3Ar8GXgEOAS4O3Ag3uc4rvAm4ET2vq3AP/TvsbuWPYAfgVsARwOfBa4BngX8Lskc7rqPxlYALwa+D/gk8ApwKuABUnmjacPJEmSJE1PVXUD8HdgnT5f3hr53HP60otKkiRJs5VTsc0s2wL7VNUHRwqSfBf4BbAXcFy/A9s5ow+kmW5gs6o6q2Pf/jRJjUk/b4c9gNuBJ7SLj3bGtkZX3W/TJJPeU1Uf7VH3xh7tPwJ4TFVd09b7f8BZwGuT7F1VV7TlDwc+37axaef82Um+BLwR+Diwe1sW4JvAg4BXV9V3Ouq/DDgU+HaSR1fVXePoB0mSJEnT0yHAR4BPJHnRyLo87WeQ93XUkSRJkqaUI3ZmlguBD3cWVNXRwEXApmMc+0Ka+aC/05nUaX2Y/vNOL+l5O90J3NFdWFVXjfyc5EnA5sCZwMd61a2qW3u0/a6RpE5b7ybgOzT/BjpH1LwaWB44oMeiqP8PuAF4TZIV2rLNgQ2BkzuTOu05DgNOBP4d2LJHTD11Lqx6803O5CBJkiRNE5+kub9/IXBWko8nOQA4m2b2go9X1YkDjE+SJEmzhImdmeXMkW+NdbmYZkq10Wzcbu/zQaSqbqRJpEzFeUd8B3gAcHaSzyTZMUmvKdWe2m6PnuAImAV94qMrxk3a7bHdlavqWuAM4P40yZxR63eVb9xn/31U1cFVNa+q5j1gpZ5L+kiSJElayqrqduCZNF/4gmaq552B84BXVtVosxxIkiRJk8ap2GaW6/qU38nYSbyRDMI/+uzvV76k5wWgqj6d5CrgTcBbgLcBleQ3wF5VNZKYmdNuLx1Pux3t94rxznZ7v46ykX64vE9TI+UjcUy0viRJkqRpoKoWAhll/7Y9ym4F9msfkiRJ0kA4Ykcjrm+3a/bZ36980lTVN6vqqcDqwPOArwFbA0cneUhb7bp2u84UhTEy99laffY/tKveROtLkiRJkiRJkrTYTOxoxBnt9j5rwSR5IPDEpRVIVV1XVT+vqt2A+cBqwFbt7lPa7bOTTMX7d6Qftu3ekWQOTT/cCvx5rPpd5adPQmySJEmSJEmSpFnOxI5GHEEzquRVSZ7Qte+9TNJUYkmWS7Jhkkd0lT8nSa+pAUdG6twMUFWnAb+jSbDcZw7rJKsnuf8ShPht4A7gzUk26Nq3L/Ag4NtVdVtbdhLwF2DLJC/uiuXFNCOO/kqPtYskSZIkSZIkSZoo19gRAFV1fZI30SQ2fpfkezTrw2wOPAH4DbANcNcSnmodmtEuFwJzO8oPBW5NciKwkGau662AJwOnAb/uqPtq4HhgvyQvan8O8EjgWcCGbRsTVlULk7wN+CJwetsP/6R57ZsB59KRUKqqSrIz8CvgsCRHtHX+HdgRuAF4bVUtab9JkiRJkiRJkuSIHd2jqr5Ls7bNWcDLgDfSjOLZDLixrXZ976OX2LuBk4FNgDcBrwOWo0mibFdVd3TEeUFb7+PAysB/A/8JrAd8CrhySQKpqi8Bz6aZ9u1FwDtoRg59Atisqq7pqv97mgTUd2n6ai+ahNj/Ak9u90uSJEmSJEmStMRSVYOOQdNckvsB5wMrVNVag45nNlnrYY+sV735M4MOQ5KkGeVT79ph0CFIJDmtquYNOg4tfWuuvUG97D8/OegwJEmSZqzP77vjQM67NO/xHbGjuyWZk+QBXWWhWWNnPeBHAwlMkiRJkiRJkiQBrrGje3sqzToxv6RZo+aBbdkTgYuBfQYVmCRJkiRJkiRJMrGje/sLcCSwBfBcmvfHJcDngf2qaonWrpEkSZIkSZIkSUvGxI7uVlUXAK8adBySJEmSJEmSJKk319iRJEmSJEmSJEkaEo7Ykaaxh621Cp961w6DDkOSJEmSJEmSNE04YkeSJEmSJEmSJGlImNiRJEmSJEmSJEkaEiZ2JEmSJEmSJEmShoSJHUmSJEmSJEmSpCFhYkeSJEmSJEmSJGlImNiRJEmSJEmSJEkaEssOOgBJ/V3493+y604HDzoMLaGv/nj3QYcgSZIkSZIkaYZwxI4kSZIkSZIkSdKQMLEjSZIkSZIkSZI0JEzsSJIkSZIkSZIkDQkTO5IkSZIkSZIkSUPCxI4kSZIkSZIkSdKQMLGjJZJkbpJKMn8axDK/jWXuoGORJEmSJEmSJGkqmNiRJqBNZH05yflJbk1ydZLfJ9lz0LFJkiRJkiRJkmY+EzuaSfYGNgIunYrGkzwbOBt4PXAG8Bngu8AiYKepOKckSZIkSZIkSZ2WHXQA0mSpqsuBy6ei7ST/BvwAuBp4RlX9tWv/clNxXkmSJEmSJEmSOpnY0aRJsiGwP7A1sALNqJYPVdUvO+qsAuwObA88CngIzYiXk4H9quqUHu1uBfwPsDHwYOBaYCFwVFV9sKPefGBnYP2qWtjVxqbAnsCWwBrANcAfga9W1ffG8fL2AR4IvLw7qQNQVXd09cOfgeOq6mm9GkvyR2BDYN2qumIc55ckSZI0A6y79hw+v++Ogw5DkiRJQ8zEjibL+jTJmT8BBwEPBV4GHJXklVV1WFtvI+AjwG+Bn9EkadYDXgBsn+T5VfWLkUaTPKetdz3wE5pp1lZr23kTcHdip58kuwFfBv7VtnEeTUJpXtvGqImddjTOi4ErgZ+3SaItaP79/Bn4ZVXdPlK/qs5NchywXZJH9RjdsznwWOCHJnUkSZIkSZIkSRNhYkeTZWvgk1W110hBkgNokj0HJjmqqq6nSYSsXVVXdR6c5GHAqTTr1vyiY9duNGtBbVtVZ3Uds8ZYQSV5NPAlmsTQVlV1do/zjuWxwIrtazkUeGnX/ouSvLiq/q+j7EvAdjSjk97ZVX/3dnvQOM4tSZIkSZIkSdLdlhl0AJoxFgEf6iyoqgXAd4A5wE5t2aLupE5bfgnNGjYbJlmvR/u39DjmPu308EaaBOa+3UmdjvOO5SHtdhvgucB/AqsDDwc+TjPi6OddiabDgcuAXZKsMFKYZA5NYujvwK97nSzJ7kkWJFlwy203jiM8SZIkSZIkSdJsYWJHk+X0qrqhR/nx7XbjkYIkWyT5XpKLk9yWpJIU8Oa2yjodx3+n3f4+yYFJXjbOUTYjntpuj5rAMd3u17Hdu6oOqaprquqiqnoX8COadXt2Gzmgqu4EvkqTAHpRR1uvoRn9c3BVVa+TVdXBVTWvquatuMIDlyBsSZIkSZIkSdJMY2JHk+UffcpH1pBZBSDJTjTr6zwPOA04ANiXZq2c37R17x7hUlU/AnYAzgBeTzMV2sXtiJZnjiOuOe320vG+kB6u7fj5xz32j5Rt2lV+MHAnsEdH2e7A7cDXlyAeSZIkSZIkSdIs5Ro7mixr9ilfq90uarf70iQ25lXVnzsrJjmIZrqze6mqnwE/S7IS8BSaRM8bgSOTbFxV54wS13Xtdh3g3HG8jl7+0qO9TiOJnxU7C6vq0iQ/BXZKshGwKs16PYdV1T8XMxZJkiRJkiRJ0izmiB1Nlk2SrNyjfNt2e0a73QA4p0dSZxlgy9FOUFU3VdWxVfUOYD9geWD7MeI6pd2OVW+0814DnNk+fWyPKiNlC3vs+1K73b19ABy0uLFIkiRJkiRJkmY3EzuaLKsA7+8sSDIPeBXNaJ2R6coWAo9MsnZHvQAfAB7d3WiSpydZsbuce0YI3TxGXF+mmQ7tfUl6tf+wruePSLJhkuW6qn6x3X4kyf27jn97+/TQHuc/BvgrsDPwUuCvVXXcGDFLkiRJkiRJktTThKdiS/JI4K0064msyj0Ly3eqqnrEEsam4fJbYNckTwFOAh4KvIwmebhHVV3f1vsMcCBwRpIfAncAW9AkdX4KPL+r3U8Bc5McT5MUuh14EvA04EJ6J1PuVlXnJHlTxzmPAM4DVgfmATcA23UccgzwcGB97j0C5xCadYF2BM5KcjSwUvt8NeDzVXV8j/NXkgOBT7dFjtaRJEmSJEmSJC22CY3YSbIZzZRUbwKeCNwfSI+HI4FmnwuAzWnWm3kDzeiU04HnVtVhI5Wq6iDgdcDlNKNYXgVcTLN2zuk92t0POAp4DLBr2/aabfmTq+raHsfcS1V9hWaatyNppobbC3gBcBX3jMQZq427gJcAbwNuaWN5Gc26Pa+pqreOcvh84C7gNuAb4zmfJEmSJEmSJEm9THTEzkeBFWj+uH5IVd05+SFpmFTVQppk3ogXjuOY+TTJjm5/BPbpqvs94HvjjGUXYJc++04GXjSONuaOsu9O4HPtYyKeQJPs/H5VXT3BYyVJkiRJkiRJuttEEztPBn5QVQdPRTDSDPU/7faAgUYhSZIkSZIkSRp6E03s3A5cNBWBSDNJkscBO9CsB7Q9cGRV/X6wUUmSJEmSJEmSht1EEzu/AzaeikCkGeZJNOsAXQ98n2ZdKkmSJEmSJEmSlsgyE6z/HmDzJK+ZimCkmaKq5ldVqmqVqnppVV016JgkSZIkSZIkScNvoiN2XggcC8xPsitwGnBdj3pVVfsuYWySJEmSJEmSJEnqMNHEzj4dP2/VPnopwMSOtIQe/ogH89Uf7z7oMCRJkiRJkiRJ08REEzvbTUkUkiRJkiTNAuf84c88fu0nDToMzUJ/uOy0QYcgSZImyYQSO1X1m6kKRJIkSZIkSZIkSaNbZtABSJIkSZIkSZIkaXwmOhUbAEnWA14LbAzMARYBpwPfqqoLJy06SZIkSZIkSZIk3W3CiZ0kuwGfB5YH0rFrR+C9Sd5aVQdNTniSJEmSNHsl2RpYWFUXjVJnXWD9qvrt0otMkiRJ0qBMaCq2JE8HDgRuAz4CPA3YqN1+GLgV+GJbT5IkSZK0ZI4DdhmjzmvbepIkSZJmgYmO2NkLuAF4UlX9vaP8L8DxSb4BnNbWO2ZyQpRmr7/84W9s+7AdBx2GJI3p+EsOH3QIkjRTZewqBKipDkSSJEnS9DChETvApsD3upI6d2vLv9/WkyRJkiRNvfVovoAnSZIkaRaY6IidFYGrxqjzz7aeJEmSJGmCkry/q2jbpOfAnfvRJHVeDpw41XFJkiRJmh4mmti5kGY9ndFsB/Rd2FOSJEmSNKp9On4uYNv20c+lwLunLhxJkiRJ08lEEzs/Bv4nyZeA91TVdSM7kqwCfIhmGraPT1qEkiRJkjS7bNduAxwLzAe+0aPev4Crgb9U1V1LJzRJkiRJgzbRxM5HgRcAbwBeleQs4HJgLeCJwMrAuW09SZIkSdIEVdVvRn5O8g3g8M4ySZIkSbPbMhOpXFXXA5sDX6GZz3lL4CXAVu3zrwBbtPU0CySZm6SSzJ8GscxvY5k76FgkSZKkyVBVr6uqnww6DkmSJEnTx4QSOwBVtaiq9gDmAI+nSeo8Hli1qvaoqmsnN0RpekiyTZIjk1yd5LYkf0/yqSRzBh2bJEmSJEmSJGl2mOhUbHerqjuBP01iLNKS2hvYn2bx2EmVZDfgIOBO4EfAxcAmwDuAHZJsUVVXTfZ5JUmSNLskuQuoxTi0qmqxP99JkiRJGh7e+GvGqKrLadZ8mlRJ1gI+T7M47ZZVdWrHvr2AjwOfBHaZ7HNLkiRp1vkti5fYkSRJkjRLjJrYSXIszYeKnavqkvb5eFRVPX2Jo9NQSbIhzYiZrYEVgDOAD1XVLzvqrALsDmwPPAp4CLAIOBnYr6pO6dHuVsD/ABsDDwauBRYCR1XVBzvqzQd2BtavqoVdbWwK7EmzLtQawDXAH4GvVtX3xnhpzwXuD/ygM6nT+hSwF/DKJO+oqmvafvgzcFxVPa1Xg0n+CGwIrFtVV4xxfkmSJM0SVbXtoGOQJEmSNL2NNWJnW5rEzgM6no+H3zCbfdanSc78iWbKsocCLwOOSvLKqjqsrbcR8BGabyL+jCZJsx7wAmD7JM+vql+MNJrkOW2964Gf0EyztlrbzpuAuxM7/bTTqH2ZZsTNT4DzaBJK89o2xkrsrNVuz+/eUVV3JVkIPJkmoXV4VZ2b5DhguySPqqq/dsWzOfBY4IcmdSRJkiRJkiRJEzFqYqeqlhntudRha+CTVbXXSEGSA2iSPQcmOaqqrqcZybJ293o0SR4GnAp8BvhFx67dgGWAbavqrK5j1hgrqCSPBr5EkxjaqqrO7nHesYzEun6P9pcB5rZPN+zY9SVgO5rRSe/sOmz3dnvQOM4tSZIkSZIkSdLdXGNHk2UR8KHOgqpakOQ7NNOj7QR8o6oW9Tq4nervB8Cbk6xXVRd1VbmlxzFXdZf18Eaa9/m+3UmdkfOOo42jgTuBHZPMq6oFHfveRjM9HMCqHeWHA5cBuyT5f1V1G0CSOcBLgb8Dv+51siS70yZ/VrjfiuMIT5IkSTNVkvePs2pV1b5TGowkSZKkaWFCiZ0kh9BMNfWTUersAPxHVb1+SYPTUDm9qm7oUX48TWJnY+AbAEm2AN4KbEYzJdryXcesA4wkdr4D/Afw+ySHAccBJ40zIQPw1HZ71Djr30dVXdh+oN4POCnJj4BLgCcCzwD+ADyeZqq3kWPuTPJV4P3Ai4DvtrteA6wIHFxVPacsrKqDgYMBVl5+jtMaSpIkzW77jLJv5F4x7c8mdiRJkqRZYKIjdnahWbS+b2IHeALNH/JN7Mwu/+hTPrKGzCoASXYCfgDcCvyKZuTKTcBdNGs4bQOsMHJwVf2oTRbuSfOe2qNt5zRg76r61RhxzWm3l07o1XSpqo8mOYdmhM5zaZJRZwOvoHnPPx64suuwg4H3tDGPJHZ2B24Hvr4k8UiSJGnW2K5P+RyadR7fQrMm5YFLKyBJkiRJgzUVU7GtQMfIBc0aa/YpX6vdjkzBti9NYmNeVf25s2KSg2gSO/dSVT8DfpZkJeApwA40U6wdmWTjqjpnlLiua7frAOeO43X0VVVHAEd0lyd5Y/vj/3XVvzTJT4GdkmxEM1XbY4HDquqfSxKLJEmSZoeq+s0ou49oR7WfChy6lEKSJEmSNGDLLMYxfaeGSrICsDX3jNLQ7LFJkpV7lG/bbs9otxsA5/RI6iwDbDnaCarqpqo6tqreQTMt2vLA9mPEdUq7HaveYkmyIU3cFwAn96jypXZ797o5wEFTEYskSZJmn6r6I82Xj94z6FgkSZIkLR1jJnaSnD/yaIve3lnW8bgQuBbYCvjpVAataWkVmvVk7pZkHvAqmtE6P26LFwKPTLJ2R70AHwAe3d1okqcnWbHH+UZGCN08RlxfBu4E3pekV/sP63r+iCQbJlmuq/xBPY59CM0Ua8sA76qqu3qc/xjgrzTTE74U+GtVHTdGzJIkSdJEXEQzMlySJEnSLDCeqdiW4Z5ROkWzMGd61LsD+CPNH7I/PCnRaZj8Ftg1yVOAk4CHAi+jef/sUVXXt/U+QzP/9xlJfkjzvtmCJqnzU+D5Xe1+Cpib5HiapNDtwJOApwEXMsaUE1V1TpI3dZzzCOA8YHVgHnAD9563/Bjg4cD67flGvD/Jc2hG5fwTeBjwAtqEVlV9v8/5K8mBwKfbIkfrSJIkabI9Bbhl0EFIkiRJWjrGTOxU1dyRn5PcBXymqj40lUFpKF0AvAHYv92uAJwOfKiqjh6pVFUHJbkNeBvNKJZbgBOA1wEv4r6Jnf2AnWiSMM8A7qL5RuJ+wGer6tqxAquqryT5E/BOmqnhdgSuAv4AfHWcr+84YBPghTQL1V4LHEvz7+GEMY6dD3ySJon1jXGeT5IkSSLJen12LQusC+xGMzXw95ZaUJIkSZIGKlV9l8y5b+VkG2BhVV04dSFJM0uSbWkSQ9+uqtdM5NiVl59TT3rItlMQlSRNruMvOXzQIUjSUElyWlXNG0e9uxhlnVOa2RTOA55WVZdOVnyaOg9YfqXaYI0NBx2GZqE/XHbaoEOQJGlGG+89/mQYz1Rsd6uq30xVINIM9j/t9oCBRiFJkqRh9E16J3buohlFfipwRFXdtlSjkiRJkjQwE0rsjEiyAvBkYB2aKbfuo6q+uQRxSUMtyeOAHWjWA9oeOLKqfj/YqCRJkjRsqmqXQccwUUnm00y7vH5VLRxsNJIkSdLMM+HETpLXAx8HVu1XheYbZSZ2NJs9iWYdoOuB7wNvGmw4kiRJkiRJkqSZYJmJVE7yHJrF5i+nWYg+wBHA/wN+1T7/PvD6yQ1TGi5VNb+qUlWrVNVLq+qqQcckSZIkSZIkSRp+Ex2xsydwNbB5Vd2Q5FPAmVW1P7B/kv8EDgS+MMlxSpIkSdKslCTAi4Fn03867Kqqpy/VwCRJkiQNxEQTO5vQLMx5Q0fZ3aN+quprSV5DM4Jn+0mIT5rV/v3xG3D8gsMHHYYkSZIGpF3f9OfAttwz7XU6qlRH+Xja2xY4DvhgVe3TY/9CgKqa2z7fBfg68DrgQuADNNMOF3AC8M6q+vM4z/2E9rWsDLyoqn7VlhfwG5rk1X7A84HVgL8Bn6yqr/doaxlgd+A/gY1o+uAc4BDgoKq6q6PuZcBdVfWwrjYuBNYD3l9V+3aUPxf4GbBvVb2/LZtPu24QTYLtv4FHAotoZrHYq6oWjacfJEmSpCU1oanYgJVopmEbcSvwoK46C4CnLElQkiRJkiQA3gVsB3wYeDBNAmMfYG3glcDFwKHA8lMcxw7AL2nWkDyQJqnzXOA3SdYY6+AkTwd+SxP/1iNJnQ5zgJOAzYAf0KzZujZwSJKdezT5LeDLwJo004UfTNM/X2r3dToWWCfJhh3xbECT1AHoHun0tHZ7TI/zfrx9nAV8EbgU2A34cY+6kiRJ0pSYaGLnCpqb5RGXA//eVWcV4H5LEpQkSZIkCYCXAKdX1Qeq6uqRwqq6oqoOpUlC7AC8bYrj2BF4TlW9oKr2qqrnAfvTfD4cdY3VJK8GjqJJgmxWVWf2qPYEmmTRE6vqzVW1G7AF8C+a5FZne6+gSWqdATy6qt5WVW8HHgOcBrwyySs7Djm23XYmcEZ+/hWwWZIHdO27BTi5R5xPBR5XVa+uqj2BTdu4t0uy6SjdIEmSJE2aiSZ2zubeiZwTgKcn2QogyWOBl7b1JEmSJElL5hE0I1lGFLDc3U+qzqeZNmyXKY7j0KrqHsFycLvtm9BI8i6a0Te/B7aoqgv7VL0ZeEdV/WukoKrOoXntGyVZuaPuSCLp3VV1Y0f9m7gnCbRrR/2RuLsTO1cCn6cZ7bRlG+/qNEmmE6vq9h5xfqiqLuo45500U9XB6P2we5IFSRbceded/apJkiRJ4zLRxM5RwBZJ1m6ff5zmG1THJ/knzXD0lWmmCZAkSZIkLZk7aKbAHnED955FAZq1b/5tiuNY0KPs4na7ap9jPkMzqudHwDOr6tpR2j+vqq4f5RxzOso2Ae4Cju9R/zc0n1E3Hilok0nn04yqWSZJaNYsOqatfyf3JH22o5ku7lh6W5x+oKoOrqp5VTVv2WUmutStJEmSdG8TTewcBKwDXAV3f4Pq6TQJn6to5lzevqp+PplBSpIkSdIsdQnNZ7ARf6VZh6bTxsA1UxzHdd0F7WgV6D8V99bt9siqurVPnb7tt3qdYxXgml4jatqYrmrrdDqGJjm0CfB4muTYMVV1A/B/3JPYeXpH/fHGOVY/SJIkSZNqQomdqrqjqv7ReQNdVadU1Q5VtVFVbV9VR09+mJIkSZI0K50EbN7x/HDgcUm+luR5ST4BPIPeo1d6uavd9hs20p0QWRI7An8DvpZkt0lsdxGwWpLlunckWRZYA+ge/TMyAucZ3JO8ObZju3GS1dp9i4DTJzFeSZIkaVI5Blyaxv7yh3PZbu0tBx2GpGnguMtOHHQIkqTB+C6wbpK5VbUQ+CzwQuB1NOvqhCZ58u5xtjcyHdq63TuSbEAzqmXRkgTc4WKaUTvHAAclWb6qvjgJ7Z5Bk4AZabvT1jQjZ7oTM8fSrE/0dOA24PyquqDddwzw/4DXAI8Ejuhc60eSJEmabiY0YifJ05Mc0rHGTvf+tdv9205GcJIkSZI0m1XV8e3MCAvb5zcDWwAvAd4DvAJ4YlVdOs4mz6UZzfLCJA8ZKUyyIvD5yYwdoKouB7YB/ggckGTPSWj2kHb70SQPGClsf96/ffq1rjiuBM6m6bvuhNDvaNYxek/7vN/6OpIkSdK0MNERO28GNqyqy3rtrKrLkmxGM3z/+CWMTZIkSZJmlSSfBn5RVb9sn68HXFdVd08t1q4j88PFab+q7kjyOeB9wBlJfkzzufCZwGXtY1JV1T+TbAccDXwyyf2r6iNL0N53k7wQeClwdpLDaUbj7AisD3yvqr7T49BjgMd2/DzS3m1JTmLs9XUkSZKkaWFCI3ZoFpr83Rh1TgTmLV44kiRJkjSrvQ14asfzC9qyyfQBYG+aUSq7A8+lSRQ9G7hjks8FQFVdQ5M4+R3w4ST7LmGTrwD+C7ga2AN4A800c//d7utlJGFTwHF99v2jqs5ewtgkSZKkKZWqGn/l5Fbgk1X13lHqfBjYs6pWnIT4pFlt5eUfWPPWeOKgw5A0DbjGjiTNLElOq6r7fCEuyfXAl6rq3e3zu4B9qupDSztGTY0HLL9SbbDGhoMOQ7PQHy47bdAhSJI0o/W7x58KE52KbRE9Ftnssi5w0+KFI0mSJEmz2t+A/2inSLu8LZvTTsk2qqq6aEojkyRJkjQtTHQqtlOBHZOs1WtnkrVp5jU+dQnjWqqSLJfkg0nOS3Jbkkqy46DjGtHGc/yg4xhLkrltrPMHHYskSZI0pD4BPIJmyrIL2rK3tj+P9jh/qUcqSZIkaSAmOmLnC8DzgBOS7Akc3S40uQLwHOBTwAOBz09umFNuT+D9wG+B79HMK33uQCOSJEmSNOtU1f8muYDmc9c6wC7AH4AzBxiWJEmSpGlkQomdqvplu8jl+4AfA5XkWmBVIO3jQ1X1i0mPdGrtANwIPLOqbh90MD1sBNw86CAkSZIkTb2qOgU4BSDJLsCPXWNHkiRJ0oiJjtihqj6Q5CTgzcBTgDnANTQfPL5QVb+a1AiXjrWBq6dpUoeqcvSQJEmSNDu9Djhj0EFIkiRJmj4musYO0IzcqarnV9VDqmr5dvuCxUnqdK7LkmTDJIcnuSbJTUlOTPKsrvq7tPV3SfKcJMcnWZSkOuqskuSjSf6S5NYk1yY5Oskzutqa3x63PvDwtt1KsrCr3lOS/CDJFUluT3JxkoPaNYW6X8+/JTk4yd+S3NK+lj8mOTDJ6h31lk/yliSnt/HdnGRhkiN6xNlzjZ3xvs627rZtO/skeWKSnyW5rj3vb5Js3uOYtZO8P8lJHa/9siTfTbLRfa/m4knysiTHtH11a9sP/5tkXle9FZK8O8kf2rivT3JCkpeO9nr7nHNhj+s8nvfWVkl+muSSdj2mK5KckuQDPc7xgCR7JzmzfT/fmOTkJK9Y3L6SJEnS7FJV36iqPww6DkmSJEnTx4RH7Eyh9YGTgT8BBwEPBV4GHJXklVV1WFf9F9Os63MUcCAwFyDJHOAk4NHA/wGfBdYAXgr8Mskbq+qgto3DgYXA29rnn223142cJMnrgK8AtwE/AS4GHgnsCjw/yVOr6qK27kPbcz4I+DnwQ+D+7Wt7DXAAcHXb9HzgFe3r/SZwC83IoS3b1/Xr0Tprgq+z0zzgf2j6+qvAesCLgGOSPLGq/tJRd2vg3cBx7Wu5sX3tLwZekGSLqjprtDjHeA0Bvg7sDFwF/Aj4J/AwYDvgL8CCtu7ywNHANjTrH30ReEAby2Ft7O9Z3Fi69HtvPQf4GXA9zXvhUmA1mqny3gR8sOO1zQGOBTYGTgcOoUmkPhv4bpLHVNV7JyleSZIkzWBJlgH+C3gVzb3nSlW1bLtvY2A34LNV9dfBRSlJkiRpaZlOiZ2tgU9W1V4jBUkOoElAHJjkqKq6vqP+c4Hn9ljP52M0yY6DgTdUVbVtfYwmSfD5JEdX1cKqOhw4PM281VTVPp0NJXkUTZJpIbBNVV3ase9pwK+AzwE7tcUvpvlD/9uq6nNdba0E3NX+vArwcuA04ClV9a+uuqsztnG/zq7jnge8rqrmd5xvD5oExltpEhQjjgXWrKobuuJ7Ak1SaX9g+3HE2s9uNEmd/6NZ32hRxznuBzyko+6eNEmdo4AXVNWdbb0PAqcCeyc5sqp+twTxjOj33tqNJjmzbXdCK8kaXXU/S5PUeVdVfbyj3v1pEorvSfKDqjpzEuKVJEnSDNV+wekoYFuaKbBvAB7YUeUC4PU0X5C6zyhySZIkSTPPhKZiS3JXkn+N43HnYsSyCLjXgqBVtQD4Ds06Pjt11T+i+w/vSZYDXk0zsmTvkWRH29Z5wOeB5YHXjjOmNwLLAW/tTOq07R1LM2rj+UlW7jrulu6GquqmqhopLyA0o4Du6lH36u6yTkv4Ok/qTOq0DgHuBDbtiuPK7qROW34WTdJnuzaWxfXmdrtHZ1KnPce/quryjqLX0/TbO0aSOiMxAvu2T3ddglg63ee91aXX9b1q5Oc2MfdqYEFnUqetdyvwLprr/8pejSfZPcmCJAvuuGtx/ilJkiRpBtmLZjT7B4E1aUbd362qrgN+SzMyXJIkSdIsMNERO7+l+eN6tznAo4AVgbPomMpsAk7vlUQAjqcZ1bEx8I2O8lN71N2QZnquk6rqmh77jwXe27Y1Hpu1222SPLnH/ocA96N57afRJHr2A76Y5Nk0U4edBJzTlXy5PslPgecDZyb5IXAC8PuqunkccS3J61zQXVBVdyT5B7Bq974kzwPeQDOF2xrc9z2zBnB593FjaUcwPRb4R1WNuhhsmzjbALi0qs7tUeXYdjve6zqWXu8taJKM/wH8PslhNFPUnVRVl3TVezLN+6LfGj8jybCe6xRV1cE0I7FYefkH9vr3JkmSpNnjVTT3nB+CZv3NHnUuoPlsIUmSJGkWmFBip6q27bev/eP7Z4DNaf74PVH/6FN+RbtdpU95p5E6/RINI+VzxhnTyJRoe41aq50KoaouTLIpsA/NGi0j/XBxkk9W1ec7jnkZzciNV3LP2iy3JvkB8M6q6tcfsGSv87o+x9xJk4y4W5K30Ew1dy3NtHMXATfTJPd2BJ4ArDBKnKMZie3S0Sq1Jvu6jqXXe4uq+lGSHWimhXs9sAdAktNoRk79qq068r55cvvo54Gj7JMkSZKgWa/zZ2PUuYZmSmhJkiRJs8CkrbFTVTck2R04E/gI916rZTzW7FO+Vrtd1FXe65tqI3XW6rEP4KF92upnpN4qXev79FVVfwZelmRZmsTHM2imHPtckpuq6mttvVtoEkD7JFmXZo2hXWim8JoLbDWOuCbrdd5HG/8HaZIcm3RNi0aSzXoeOH7Xtdt1xlF3cV7vyBR3/d7jq9C/f/qOkqmqnwE/a0ccPQXYgWbKviOTbFxV53S0+5mqeke/tiRJkqRxuIWxv8C0Hos3a4IkSZKkITShNXbGUlV30UxPteNiHL5Jj7VqoFkkFGDU6bpaf6EZUfLEJPeZVoxmbmqA08cZ0yntdrQkS09VdWdVnVZVHwNe0Rbv2KfuxVX1HZp5sc8DtmzXaelnsl9nL2vQfID8XY+kzgOBTZagbarqJuBPwJpJRp1CrZ2i7+/AOkke2aNKr9d7bbtdt7tykg1YwtE97ZpJx7aJm/1o1jTavt19Kk1iacLvG0mSJKnLmcCzkizfa2eSVWg+R/SbTliSJEnSDDOpiZ3W/emxVss4rAK8v7MgyTyaOaUXAT8eq4Gqup1mHZQHAh/qausRwFuAO4BvjTOmA9r6n0nyqO6dSZZPslXH802T9Bp5NFJ2c1vvwUme0qPeSsDKNNOi3d4vqCl4nb1c2cb7pDaRM9L+cjTTs60x3oaSrJJkwyQP7do1MjXdQe0H0s5jlumqfwgQ4BNJ7tdRbw3gfR11RpwLXA+8MMlDOuqv2HHeCUny9Pb4bve6vlV1Jc31mZfkfe3op+62HpFk/cWJQ5IkSbPKV2i+rPSdJA/q3JFkDjCf5vPXgUs9MkmSJEkDMWlTsQEk2RB4CfC3xTj8t8CubcLjJJrptV5Gk3zaY7xToQHvphkp8d9JnkwzgmgN4KU0SZP/rqoLxtNQVZ2b5PU0CYOzk/wC+CuwHM10B1sB/wQ2bA95JfBfSX5D0wfXAo+gWcj0NuCzbb11gFOS/JlmlMnFwINopvVaC/h8O0plqbzOPq/9riSfb8/zxyRH0IxK2Y5m/u7juGekzFh2Ar4OfINmurkRXwW2BF4LnNee45/A2sDTaPp9n7buJ2lGxLwQOCvJz4EH0LzfHgJ8vKpO7Ij/jiSfo0n6nJHkxzTv92cCl7WPifoUMDfJ8cBCmuTbk9pYLwQO7aj738AjaRJvr0lyIs06UmsDG9GsvfMKmoVuJUmSpJ6q6n+TPAN4HfAC2pHpSRYAj6FZ8/KLVfXzwUUpSZIkaWmaUGInySF9di1L8y2yLYD70SwuP1EXAG8A9m+3K9AkPT5UVUePt5GquqZd/2Vv4D+Ad9DMS30q8Imq+uVEgqqqbyc5i+Y1bQc8C7iJJjHwA+Cwjur/28a9Oc1UZSsCl9L8wf9TVfWntt5C4AM008xtR5OQuYZmirV3c+8EwVJ5nX28jybRsiuwB83IqV8B76VZf2eJVFUBOyf5JbA7TVJqBeBy4ATgJx11b0/yTJrX+UqadYvuBM4C3lZV/9vjFB+gGUWzW9v+FTR9uw9wzmKEvB9NkmoezdpJdwEXteWfraqR6d+oquuTbNOe95XAi2hGs/2DZrq9t9P0pSRJkjSqqvrPJCcAbwUeTzOSfRPgbODTVfX1QcYnSZIkaelK87f1cVZO7hqjyrk0SYVxf7BIMpcmqfONqtpl3MFIs8DKyz+w5q3xxEGHIWkaOO6yE8euJEkaGklOq6p5i3HcijRTry1q163UkHnA8ivVBmtsOHZFaZL94bLTBh2CJEkz2uLe4y+OiU7F1m9NkLuAa6vqxiWMR5IkSZLUR1XdQjNSX5IkSdIsNaHETlVdOFWBSJIkSdJsl+T8xTy0quoRkxqMJEmSpGlpoiN2JEmSJElTZxmge77s5YGHtj/fCVwNrM49n+cuB25fKtFJkiRJGrhREztJtl7chqvqt+Ost5Bm8U9JkiRJmtWqam7n8yQPAn4NXAjsDZxQVXclWQbYGvgoTTLoGUs5VEmSJEkDMtaIneO577fFxut+i3mcJEmSJKnxEWAO8NiquntUTlXdBRyfZDvgj229twwkQkmSJElL1ViJnQ9x38TOU4DnAH8HTgSuANYCtgQeARwFnDq5YUqz078/fkOOW3DioMOQJEnS4OwE/G9nUqdTVd2a5Ajg5ZjYkSRJkmaFURM7VbVP5/MkT6UZ/v9W4Ivtt8RG9i0DvBnYnyYhJEmSJElaMqsDy41RZ7m2niRJkqRZYJkJ1t8X+HVVfaEzqQPNVABV9TngGEzsSJIkSdJk+Dvw4iSr9NqZZFXgxcD5SzUqSZIkSQMz0cTOpsCZY9Q5C3jqYkUjSZIkSep0ILA2cGqS1yaZm2TFdrsz8HuaqbG/ONAoJUmSJC01Y62x0y006+iMZoPFjEWSJEmS1KGqDkjySJppr7/eo0qAL1TVl5ZuZJIkSZIGZaKJnd8BL0qyQ1Ud2b0zyQuA/wB+NRnBSZIkSdJsV1VvTXIo8HpgY2AVYBFwOjC/qn43yPg0MY9+/EYsWLBg0GFIkiRpiE00sfP/gN8CRyT5TfvzP4A1gW2ArYFb2nqSJEmSpElQVScDJw86DkmSJEmDN6HETlWdluSZwCHAtu2jaIb/A/wF+M+qOmMSY5RmrcvP/Tv7bvbiQYcx47zv5B8MOgRJkiRJkiRJWiwTHbFDO8x/wySbA5vQMQ2AUwBIkiRJkiRJkiRNnQkndjqcRTPt2gOr6oRJikeSJEmSJEmSJEl9LDPRA5I8LMkPgWuBBcBxHfu2THJOkm0nLUJJkiRJkiRJkiQBE0zsJHko8HvghcCRNIt3pqPK74GHAC+brAAlSZIkSZIkSZLUmOiInQ/QJG6eUVX/Afyqc2dV3QGcAGwxOeFJkiRJkiRJkiRpxEQTO88FflJVx49S5yJg7cWOSLNOkvlJKsncQcciSZIkSZIkSdJ0NtHEzprAeWPUuQNYafHCkSRJkiRJkiRJUj8TTexcA6w7Rp1HAVcsXjiSJEmSJEmSJEnqZ6KJnZOAFyRZq9fOJI8EngMct6SBSZIkSZIkSZIk6d4mmtj5BHB/4DdJtgceAJBkpfb5T4G7gE9NapQamCTbtuvf7NNn/8IkCzue79LW3yXJdkmOT3JDkuuT/CzJRhM49xOSXNoe+8yO8mrbXSPJwUkuT3JbkrOTvK5PW8skeUOS/0tyY5Kb2p/fmGSZrrqXJbmkRxsXtud+X1f5c9vyD3WU3b1uUJI9kvwxya1J/tHGvMp4+0GSJEmSJEmSpBETSuxU1e+B3YG5wJHAO9td17fP1wf+s6rOnsQYNZx2AH5J8944EDgBeC5NUnCNsQ5O8nTgt0CAravqV11V5tCMINsM+AHwTWBt4JAkO/do8lvAl2nWifoqcDDwYOBL7b5OxwLrJNmwI54NgPXap0/vqv+0dntMj/N+vH2cBXwRuBTYDfhxj7qSJEmSJEmSJI1qoiN2qKqvA48FPg+cCvwdOJ3mD+SPr6rvTGqEGlY7As+pqhdU1V5V9Txgf5pkyutHOzDJq4GjaJIgm1XVmT2qPYEmWfTEqnpzVe0GbAH8C3hXV3uvAF4JnAE8uqreVlVvBx4DnAa8MskrOw45tt12JnBGfv4VsFmSB3TtuwU4uUecTwUeV1Wvrqo9gU3buLdLsuko3SBJkiRJkiRJ0n1MOLEDUFXnVdXbq2qzqnpUVT25/eP6XyY7QA2tQ6uqewTLwe22b0IjybtoRt/8Htiiqi7sU/Vm4B1V9a+Rgqo6h2YUz0ZJVu6oO5JIendV3dhR/ybuSQLt2lF/JO7uxM6VNAnN5YEt23hXp0kynVhVt/eI80NVdVHHOe8Evt4+7dkPSXZPsiDJgpvuuK1XFUmSJEmSJEnSLLVYiR1pHBb0KLu43a7a55jP0Izq+RHwzKq6dpT2z6uq60c5x5yOsk1o1n46vkf939CM8tl4pKBNJp1PM6pmmSQBtqVJ+PwGuJN7kj7b0UwXdyy9TbgfqurgqppXVfNWWm6FPs1KkiRJkiRJkmYjEzuaKtd1F7SjVQDu1+eYrdvtkVV160Tbb/U6xyrANb1G1LQxXdXW6XQMTXJoE+DxNFPIHVNVNwD/xz2Jnad31B9vnGP1gyRJkiRJkiRJPZnY0VjuarfL9tnfnRBZEjsCfwO+lmS3SWx3EbBakuW6dyRZFlgD6B79MzIC5xnck7w5tmO7cZLV2n2LaNaZkiRJkiRJkiRpSpnY0VhGpkNbt3tHkg2495RnS+pimlE7fwEOSvJfk9TuGTTv9a177NuaZuRMd2LmWKBoEjdPA86vqgvafce07b0GeCRwfOdaP5IkSZIkSZIkTRUTOxrLuTSjWV6Y5CEjhUlWBD4/2SerqsuBbYA/Agck2XMSmj2k3X40yQNGCtuf92+ffq0rjiuBs4EtaJI/nVOt/Q64FXhP+7zf+jqSJEmSJEmSJE0qEzsaVVXdAXyOZsq1M5IckORA4E/AysBlU3DOfwLbAQuATyb5f0vY3neB7wFPBs5O8pkkn6Z5DU8GvldV3+lx6DHAijSv85iO9m4DTgIe0lFPkiRJkiRJkqQpZ2JH4/EBYG+aUSq7A88Ffgg8G7hjKk5YVdfQTIP2O+DDSfZdwiZfAfwXcDWwB/AGmmnm/rvd18tIwqaA4/rs+0dVnb2EsUmSJEmSJEmSNC6pqkHHIKmPdR64ar3hcU8fdBgzzvtO/sGgQ5AkSbNcktOqat6g49DSN2/evFqwYMGgw5AkSdIkW5r3+I7YkSRJkiRJkiRJGhImdiRJkiRJkiRJkoaEiR1JkiRJkiRJkqQhYWJHkiRJkiRJkiRpSJjYkSRJkiRJkiRJGhLLDjoASf09dMNH8L6TfzDoMCRJkiRJkiRJ04QjdiRJkiRJkiRJkoaEiR1JkiRJkiRJkqQhYWJHkiRJkiRJkiRpSJjYkSRJkiRJkiRJGhImdiRJkiRJkiRJkoaEiR1JkiRJkiRJkqQhseygA5DU33UXX8iP37broMOQJEmasXb67FcHHYIkSZIkTYgjdiRJkiRJkiRJkoaEiR1JkiRJkiRJkqQhYWJHkiRJkiRJkiRpSJjYkSRJkiRJkiRJGhImdiRJkiRJkiRJkoaEiZ0lkGR+kkoyd9CxLI4kc9v45w86FoAk27bx7DPoWCRJkiRJkiRJmo5M7Og+hj1hJUmSJEmSJEnSTLXsoAMYcnsD+wOXDjqQxXQpsBGwaNCBSJIkSZIkSZKksZnYWQJVdTlw+aDjWFxVdQdw7qDjkCRJkiRJkiRJ4zNjp2Iba72WJAuTLOx4vktbf5ck2yU5PskNSa5P8rMkG/Vo415TliXZrH3+o1Hi+nOS25Ks1lX+7CQ/T3JVu//vST6RZE6/2JM8KMmn25/vGHmtSVZO8r4kf2rjv6Ft77AkT+po5z5r7CQpYOf26QXt/hrpqySnJPlXv2nakryzrb/nKH2wZpKvJflHkluSnJlk537122NWS/LRtv9uSbIoyTFJntWn/ipJPpvkkiS3Jjk3yTuS/FuvdYU6ruW/JXlzkj+05zl+cWNoj3lFkuOSXNvG8eck702ywmivV5IkSZIkSZKkXhyxc187AC8EjgIOBB4NPBd4cpJHV9VV/Q6sqpOT/AXYIcnqVXV15/4kmwIbAj+sqms6yt8PfBC4BjgSuBJ4PPBO4LlJNquq67tOtzxwLLAa8EvgeppETIBfAJsDJwNfBe4E1gW2BU4AThvl9X8Q2BF4AvA54Lq2fGT7JeAbwG7A/+tx/K7AbW2d+0iyOvA74N+AE9vHQ2n6+pd9jnk4cDwwt43/F8BKNNfqF0n2qKqvdNS/P03fbAKcAXwHWKWNd6v+Lx1oXvNWwM+AnwP/WpwY2mO+BrweuAT4EU0fPhXYF3h6kmdW1Z1jxCNJkiRJkiRJ0t1M7NzXjsCzq+qYkYIkHwXeTfNH+o+Pcfw3gP2AVwAHdO3buaPOSNvb0SRTTgaeW1XXdezbBfh6u//tXW09FDgH2Kaqbuo45nE0SZ3Dq2qnzgOSLEOT4OirqvZpR+M8AfhsVS3sqnIY8Gng9Un2aadzG2l/W+Dfge+OkgD7KE1S57NVdfdrSnIATR/08g3g4cArqurQjmPm0CRbPp/kJ1X1j3bXXjRJnUOBV1ZVtfU/Apw+ysunPW7jqrpgSWJor93rgR8Dr6qqWzqO2Qf4APBfNIkkSZIkSZIkSZLGZcZOxbYEDu1M6rQObrebjuP4bwF3cU8SB4AkywMvpxmNc1THrre02906kzoAVTUfOBN4VZ9z7dmZ1OlyS3dBVd1VVdeOHv7oquo2mmTTWsALunbv0W4P6nVskuVoXssNwD5d7S6gGVnTfcwTgG1oRjkd2nXMdTQJkvsDL+rYtTPNNdh7JKnT1r8Y+OwoLw/g491JncWM4a00I6Ve35nUae0LXE2f65pk9yQLkiy4/pb7XEZJkiRJkiRJ0izmiJ37WtCj7OJ2u+pYB1fVJUmOAZ7ZTt12Trvr+TTTpn2ma/qtzYA7gJckeUmPJpcHHtxjardbgT/0qH8OTTLoFe30YUfQTHe2oKpuHyv+cfoysCdNIueHAEnWAHYC/lxVv+1z3IbAA4ATqmpRj/3H05UQo+kfgFXSe72kB7fbjdo4HgQ8Ari4x2gjaPpiNKf2KJtoDA+gGfF0FfC2Zna8+7htpH63qjqYNpm4wZoPrl51JEmSJEmSJEmzk4md+7quu6Cq7mz/OH+/cbYxH3gmTZLiXW3ZfaZha61Ocx0+MEabD6QZ5THiys7RKB2x/ivJ04D3Ay8GPtbuuiHJN2hGsdw4ztfRU1Wdn+Ro4NlJHlFVfwd2AVagz2id1sg0cP/os/+KHmWrt9tnto9+HthuHzTGOfqVT2YMqwKhSfiMdV0lSZIkTZIkGwJ/Bo6rqqf1qfNHmi+drVtVV7Rlz6YZdb8psDL3rJP5ke6ZFZI8Htib5gtgD6VZ7/Ri4LfAXp3TVUuSJElTYSZPxXZXu+2XvBp1rZkl9GOam/tXJ7lfkgcD2wNnVdVZXXUXAddWVcZ4XNh1XN+RHFV1bVW9varWBR4J7AqcC/w3zWibyfBlmuTFbu3zXWlGEX1zlGNGRums2Wf/WqMc89Yx+ud1bb3rxzhHv/IRvfp1ojGM1D9jrOs6RiySJEmSJqCqzgWOA7ZL8qju/Uk2Bx4LHNGR1Hk/8AvgKcDPgM8DfwPeCZzUzgowcvzjgd8DLwROoVl/9HvAP4E30XzZTZIkSZpSMzmxM7KWzLrdO5JsAMyZqhO3a6p8D1gbeAbNWirLct/ROtB8GFg1yWOmKJa/VdXXaNaIuZHmA8hY/tVuRxuhdCRwEfC6JM8C/h343hhr+JwL3Aw8MUmvxNq2PcpOabdbjRpxq6quB84H1kkyt0eVLcfTzhLGcCNwNvCYJKstxvkkSZIkLb4vtdvde+wbKTsIIMl2wAeBk4FHVNXOVbVXVT0beB3w6Hb/iJ1p1td8RVW9vKr2rqr/auuvSfN5R5IkSZpSMzmxcy7N6I0XJnnISGGSFWm+gTXV5rfb17aPO4Hv9Kj3mXb7lSRrd+9MslKSp473pEnW75MkWpXm22O3jKOZkSnf1utXoaruolkH5iHAIW3xgR1xrJFkw3btnZFj7qDpg5WBfbrinkeTAOs+zwLgBOA/kry+VyxJHtd5jWlGDS0DfDQdC9wkWRd4W7/X1M9ixvBpmvWRDkkyp0f9VZNsMtFYJEmSJI3pcOAyYJckd4+gae/LXwr8Hfh1W/yWdrtb95RrVTWfZv3S+3xOocfnqnbmhLt61JUkSZIm1YxdY6eq7kjyOeB9wBlJfkzzep9Jc5N/2RSf/6QkfwNeAiwH/LSqruxR75gk7wY+CpyX5OfABTTrtTycZqTNicBzxnnqJwA/TnIa8Cea1/lgmpE6y3HPmjujOQbYiybZ9AOakT7XVdUBXfW+SrOWzzrAH6vq5I59/02zvswHuXcS5z3A04G3tcmcE2nmpX4Z8HPgBT3ieSVwLPC1JG+hmfrgOuBhwONpplLYDBjp348DOwIvB/49yS9ppt57Kc281ztyz1R94zWhGKrqkCRPopmO4e/tmkQXAasB6wNbA18H3jDBOCRJkiSNol0jdeSzyouA77a7XgOsCBzcsV7pZsAdwEuSvKRHc8sDD06yelVdDRxGsxbP4e1npV8DJ7XrjvaVZHfa0ULrrdf3+3OSJEnSuMzYxE7rAzRD4XejuYm+AjiUJtFwzlI4/zeAfTt+7qmqPpbkJJpvi21Jk4RZBFxKMyrmu/2O7WEBTZJoG5pk0Ko08z2fBny+qo4aq4GqOjrJnjT99naaDzMXAgd01ftHm4jakXYqg3G0fVWSLYD9gOcD84C/AG8EFtIjsVNVl7RJkjfTfDB7Fc00cVfQXMcvAH/sqH9LO6XCh4AXt6/hgvacJ7TxXs8ETDSG9pj/SnIUTfLmGTTT/11Dk+D5BPDticQgSZIkadwOpvlS2R7c83lqd+B2mi9YjVid5nPxB8Zo74HA1VV1apKtgP9H81njNQBJ/gJ8sKr+t9fBVXVwGxPz5s3ru16qJEmSNB6554tK0sQkWYZmUdE1gYe269tMa0l2o/lA9YaqGlcyapA2WPPB9YlXjGdZJEmSJC2OnT771YGcN8lpVTVvICefJZL8CNiJZp2cVYGTgMOq6uUdda4ClqmqCa+N2U7z9iSaL9S9meaLXM+sql+Pdty8efNqwYIFEz2dJEmSprmleY8/k9fY0dR7Mc20Yt+cbkmdPusVrUszNd+dwJFLPShJkiRJS9OX2u3d06Bx35kGTgFW7bNO6aiq6raq+l1VvZ971urxW1mSJEmacjN9KjZNgXZNoNVoPhzdBOw/2Ih6+mGS5WimoLsOmAvsADwA2LuqLh1caJIkSZKWgmOAvwI7A/cH/lpVx3XV+QzwPJr1RV9cVfdaizXJSsDjquqU9vlWwB+qalFXO2u225sn+TVIkiRJ92FiR4vjozQLjJ4D7FVVFw44nl6+RTPf9YuAVYAbgd8DB1TVjwYZmCRJkqSpV1WV5EDg023RfaZirqpj2i+ufRQ4r11D9AKaNXUeTrN26Yk0060B7Ak8K8nxwPk0nzMeA2wPXEu7jo4kSZI0lUzsaMKqKoOOYSxV9SXumXpBkiRJ0uw0H/gkzRfTvtGrQlV9LMlJNNOpbUkzndoi4FKaRM13O6p/iSaB8xRgC5rP1Je05Z+apl96kyRJ0gxjYkeSJEmSNFM9gWZt2e9X1dX9KlXViTQjc0ZVVb8Efjl54UmSJEkTZ2JHmsbmrPtwdvrsVwcdhiRJkjSs/qfdHjDQKCRJkqRJZGJHkiRJkjRjJHkcsAPwJJq1b46sqt8PNipJkiRp8pjYkSRJkiTNJE8C9gOuB74PvGmw4UiSJEmTy8SOJEmSJGnGqKr5wPwBhyFJkiRNmWUGHYAkSZIkSZIkSZLGx8SOJEmSJEmSJEnSkDCxI0mSJEmSJEmSNCRM7EjT2E3XXTXoECRJkiRJkiRJ04iJHUmSJEmSJEmSpCFhYkeSJEmSJEmSJGlImNiRJEmSJEmSJEkaEiZ2JEmSJEmSJEmShoSJHUmSJEmSJEmSpCFhYkdLJMncJJVkfkfZ/LZs7mj1+tWVJEmSJEmSJEm9mdjRtNMvCTSdDEOMkiRJkiRJkqSZZ9lBB6ChdymwEbBoMY/fG9i/bUeSJEmSJEmSJI3CxI6WSFXdAZy7BMdfDlw+eRFJkiRJkiRJkjRzORWblsiSTknWvcZOkn2AC9rdO7f7Rh67dB377CQ/T3JVktuS/D3JJ5LM6XGehe3jQUk+3f58R3s+kqyd5P1JTkpyRZLbk1yW5LtJNupqa0pilCRJkiRJkiRpLI7Y0XRzPDAHeCtwFnB4x74zR35I8n7gg8A1wJHAlcDjgXcCz02yWVVd39X28sCxwGrAL4HruSdBszXwbuA44IfAjcAjgRcDL0iyRVWdtRRilCRJkiRJkiSpLxM7mlaq6vgkC2mSJmdW1T7ddZJsR5MwORl4blVd17FvF+Dr7f63dx36UOAcYJuquqlr37HAmlV1Q9e5ngCcRLMO0PZLIUZJkiRJkiRJkvpyKjYNo7e02906EyYAVTWfZtTMq/ocu2ePpA5VdWV3UqctP4sm6bNdkuWWRoxJdk+yIMmC6xbdJyRJkiRJkiRJ0izmiB0No82AO4CXJHlJj/3LAw9OsnpVXd1Rfivwh36NJnke8AZgHrAG9/33sQZw+RTHSFUdDBwMsNEGc2uc55MkSZIkSZIkzQImdjSMVqd5735gjHoPBDqTJldWVc9ESZK3AJ8DrgV+BVwE3AwUsCPwBGCFpRCjJEmSJEmSJEl9mdjRMFoELFNVq03wuH5JnWVp1ru5Atikqi7v2r/ZUoxRkiRJkiRJkqS+XGNH09G/2u39+uw/BVg1yWMm6XxrAHOA3/VI6jwQ2GQaxChJkiRJkiRJkokdTUvX0oyuWa/P/s+0268kWbt7Z5KVkjx1Aue7kmbatSe1iZyRdpajmZ5tjWkQoyRJkiRJkiRJTsWm6aeqbkzye2CrJN8B/kozQuYnVfWHqjomybuBjwLnJfk5cAHNejUPB7YBTgSeM87z3ZXk88C7gT8mOQJYHtgOWA04rv15YDFKkiRJkiRJkgQmdjR9vYZm1MtzgFcAAS4B/gBQVR9LchLwFmBL4IU069pcChwMfHeC53sf8E9gV2CPtq1fAe+lWX9nOsQoSZIkSZIkSZrlUtVzPXlJ08BGG8ytP/9t4aDDkCRJ0iRLclpVzRt0HFr65s2bVwsWLBh0GJIkSZpkS/Me3zV2JEmSJEmSJEmShoSJHUmSJEmSJEmSpCFhYkeSJEmSJEmSJGlImNiRJEmSJEmSJEkaEiZ2JEmSJEmSJEmShoSJHWkaW2nOGoMOQZIkSZIkSZI0jZjYkSRJkiRJkiRJGhImdiRJkiRJkiRJkoZEqmrQMUjqI8kNwF8GHYcAWAO4atBB6G5ej+nDazF9eC2mD6/F9DJdr8fDq+rBgw5CS5/3+AMxXX8PzFT299Jnny999vnSZX8vffb54llq9/jLLo2TSFpsf6mqeYMOQpBkgddi+vB6TB9ei+nDazF9eC2mF6+HpiHv8Zcyfw8sXfb30mefL332+dJlfy999vn051RskiRJkiRJkiRJQ8LEjiRJkiRJkiRJ0pAwsSNNbwcPOgDdzWsxvXg9pg+vxfThtZg+vBbTi9dD043vyaXPPl+67O+lzz5f+uzzpcv+Xvrs82kuVTXoGCRJkiRJkiRJkjQOjtiRJEmSJEmSJEkaEiZ2JEmSJEmSJEmShoSJHWmaSfKwJIckuSzJbUkWJvlsklUHHdt0lmT1JLsm+XGSvyW5JcmiJCcm+c8kPX/fJdk8yc+TXJPk5iR/SPK2JPcb5Vw7Jzk1yY3tOY5PssMo9VdM8sEkf0lya5Irk3wvyUaT8dqHRZLXJKn2sWufOl6PKZRkqyQ/THJ5+/vl8iS/TPLcHnW9FlMkyfPafr+k/V11fpLvJ9msT32vxRJI8uIkX0hyQpLr299B3x7jmGnZ5xnye4SJXIskj0zyriTHJrk4ye1J/pHkiCTbjXEer4WmHd8zY2v7pPo8ruhzzLT8fT2d+P/g0jXB/+vmjvKerySHjnIe+5uZ93eAmdjnvs8nR5KPJTkmzX3xLe1794wkH0iyep9jfJ/PdFXlw4ePafIAHgH8AyjgcGB/4Nj2+bnA6oOOcbo+gDe0/XQZ8B3go8AhwHVt+Q9o1xXrOOaFwJ3AjcDXgE+0/VzA9/uc55Pt/ouBzwBfBK5uy/67R/0VgBPb/f8HfAz4LnAHcBPwlEH33VK6Puu21+KGti927VHH6zG11+C97ev+J/B1YD+axRD/D/i412KpXYePta/5KuCr7e/5HwC3A3cBr/ZaTHqfn9m+thuAP7c/f3uU+tOyz5kB9wgTuRbAoe3+s4GDaP5f/1F7bQp4i9fCx7A8fM+Mu58W0twv7tPj8c4e9afl7+vp9pjI797p3K/D8u9oIv0NzG33n9nnff9i+3vM/p4xfweYqX3u+3zS+v124JS2r/cHvtC+zgIuBdb1fT77HgMPwIcPH/c8gKPbX2Zv7ir/dFt+4KBjnK4P4GnA84FlusrXAi5q++9FHeUPAq4EbgPmdZTfH/hdW//lXW1t3pb/DVi1o3xu+5/drcDcrmP2HvmPszO29j/ZkT9YLbMkr326P4AAvwb+3t5MFF2JHa/HlF+Dl7Sv71fAyj32L+e1WCrXYS3gX8AVwEO69m3Xvu7zvRaT3u/bAY9sfxdty+h/YJm2fc4MuEeY4LXYBdi4R/k2NB9sbwMe6rXwMQwP3zPj7qeFwMJx1p22v6+n22OCv3unbb8Oy7+jCfb33Hb//Am0b3/fO54Z83eAGdznvs8np9/v36f8I22sX/J9PvseAw/Ahw8fzQP4t/aX2AU9fvGtTJNlvwlYadCxDtsDeE/bt1/oKHt9W/aNHvWf1u77TVf5N9vy1/U45kPtvg92lAW4sC1fv8cxv233bTfoPpri/n8rzUiErWm+kVPcN7Hj9Zi6/l8GOL/9/fHgcdT3WkzdtXhK+7qO6LP/euAGr8WUXoNtGf0PLNOyz5mB9whjXYsxjv0lXX808Fr4mK4P3zMT6quFjD+xMy1/X0/3h/8PTrv+nsvE/+Btf4+/r4bm7wAzvM99n09tnz+hfR2/6ijzfT5LHq6xI00fT2u3v6yquzp3VNUNwEnAA4CnLu3AZoA72u2dHWUj/f2LHvV/C9wMbJ5khXEec1RXHWiGmK4H/LWqLhjnMTNKO6/q/sDnquq3o1T1ekydzYH1gZ8D16ZZ3+VdSd6a3mu6eC2mznk0Iw02TbJG544kW9PczP66o9hrsfRN1z73HuHeev2/Dl4LTU++ZyZmhSSvTvKe9l5luz5rAUzX39fDbrr260z/d7R2kj3a9/0eSR4/Sl37e/yG6e8AM7nPR/g+nxrPb7d/6CjzfT5LmNiRpo9/b7d/7bP/vHb7qKUQy4yRZFngte3Tzv+g+vZ3Vd1J8w2CZWm+UUCSlYB1gBur6vIep+p1fWb1NW37/ls0w7HfM0Z1r8fUeXK7/QdwOnAkTbLts8DvkvwmyYM76nstpkhVXQO8C1gTOCfJwUk+muR7NCMQfgXs0XGI12Lpm6597nVqJXk48HSaD6S/7Sj3Wmi68j0zMWvR3D9+hOZe5VjgvCTbdNWbrr+vh9107deZfi2eCRxI874/EDgryXFJ1uusZH+P3xD+HWAm9/kI3+eTIMk7k+yT5DNJTgD2pUnq7N9Rzff5LGFiR5o+Vmm3i/rsHymfM/WhzCj7A48Ffl5VR3eUT7S/F+f6zPZr+n5gY2CXqrpljLpej6nzkHb7BmBF4Bk0I0MeSzO/7dY0c+KO8FpMoar6LPAfNDfSuwHvplkD6WKa6Qmu7KjutVj6pmufe52A9luF36FZqHWfqrq2Y7fXQtOV75nx+zpN4nYtYCXgccBBNNP4HJXkCR11p+vv62E3Xft1pl6Lm2n+KPskYNX2sQ1wHM00bse0f3AdYX+P37D9HWAm97nv88n1TuADwNuALWmSaM+qqn921PF9PkuY2JGGR9ptDTSKIZLkLcCewLnAayZ6eLudaH9PpP6MvaZJNqUZpfOpqjp5Mppst16PiRuZviTAi6vqmKq6sarOBnYCLgG26TMtWy9eiyWQ5H+AHwDzaYavr0TzIed84DtJPj6R5tqt12Lpma59PuOvUzsV07eALYDDgE8uZlNeC003vmdaVfXBqjq2qv5RVTdX1Z+q6g00CyqvSLNW43hN19/Xw2669utQXouqurKq3l9Vp1fVde3jt8CzgN8DGwC7Lk7TE6g74/p7hv4dYGj73Pf55KqqtaoqNF+C+A+aUTdnJNlkAs34Pp8hTOxI08dIZnqVPvsf1FVPo0jyX8DngHNoFmu7pqvKRPt7rPq9vnkwK69pxxRsfwXeN87DvB5TZ+Qb7edX1VmdO9qRVCPfptq03XotpkiSbYGPAT+pqndU1fntH65Op0myXQrsmeTf2kO8FkvfdO3zWX2d2qTOt2lGt30PeHVVdX/g81pouvI9s+QObLdbd5RN19/Xw2669uusuhbtVElfbZ9O5H0/6/t7iP8OMJP7vCff50um/RLEj2kSZKsD3+zY7ft8ljCxI00ff2m3/eaSfGS77TcXpVpJ3gYcAPyJ5sbiih7V+vZ3m5hYn2bBv/MBquommj+6PjDJQ3u01+v6zNZr+kCa17wRcGuSGnnQDBkG+Epb9tn2uddj6oy87uv67B9J/KzYVd9rMfl2aLfHde+oqpuBU2nuzTZui70WS9907fNZe53afv9f4OXAd4FXtn8IuBevhaYx3zNLbmSa0s6peqbr7+thN137dTZei5Fple5+39vfoxvyvwPM5D4fje/zJVRVF9Ik1R6TZI222Pf5LGFiR5o+Rv7Q96wk9/q3mWRlmqlHbgFOWdqBDZMk7wI+A5xJc2NxZZ+qx7bb5/TYtzXwAOB3VXXbOI/ZvqsOwN+Bi4BHJVl/nMfMBLcBX+vzOKOtc2L7fGSaNq/H1PktzU3bI5Ms32P/Y9vtwnbrtZg6K7TbB/fZP1J+e7v1Wix907XPZ+U9Qvs76wc0I3W+Cbymqv41yiFeC01HvmeW3Mh0sed3lE3X39fDbrr262z8d/TUdnt+V7n93cMM+DvATO7z0fg+nxxrt9uR+2Tf57NFVfnw4WOaPGimRCrgzV3ln27LDxx0jNP5QTPtVwELgNXGqPsgmm+H3AbM6yi/P/C7tp2Xdx2zeVv+N2DVjvK5wNXArcDcrmP2bo/5PrBMR/kL2/KzO8tn+oNmbvQCdvV6LNV+/3b7+j7cVf5M4C6a0TxzvBZTfh1e2r62K4B1uvZt316LW4DVvRZTdg22bV/Tt/vsn7Z9zgy7RxjHtVgB+Flb56vjeQ96LXxM14fvmXH10WPocf8OPBw4r+2n93SUT9vf19P5MY7fvdO2X4fx39E4+vspwPI9yp/W9lsBm9vfY/bzjPg7wAzuc9/nS97fGwJr9ShfBvhIG+tJvs9n3yNt50maBpI8guaX7EOAI4A/0/wnuB3NUMTNq+rqwUU4fSXZmWYx8n8BX6D3nJwLq2p+xzE70nwT+FbgUOAa4AXAv7flL62uX5JJPgW8g2bB+R8AywMvo5nT9M1VdUBX/RVovqGwOc1NzzHAejTfPr4deFpV/X6xX/iQSbIPzXRsu1XVV7v27YjXY0okeQhwEs3ClCfQTPn1cJp1XYpmaqPvd9TfEa/FpGu/lXQ08AzgBuDHNEmejWimaQvwtqr6XMcxO+K1WCJtH+7YPl0LeDbNtwJPaMuuqqp3dtWfdn0+E+4RJnItknwd2AW4CvgSvRdRPb6qju86h9dC047vmbG194jvpvk27wU0/08+AngezR+ifg7sVFW3dxyzI9Pw9/V04/+DS9cE/687niapeTxN3wE8nuYP3gDvq6oP9ziH/d2aSX8HmKl97vt8ybVT3n2CZjaOv9MkWtYEtgH+jeYz5dOr6pyOY3bE9/nMN+jMkg8fPu79ANYFvg5cTvOL8EKahehG/RbEbH9wz0iQ0R7H9zhuC5oPitfSfFP+j8DbgfuNcq6dgf8DbqL50PkbYIdR6q8IfJDm24a30Xxz4vvAowfdbwO8Trv22e/1mLq+X43mWzAXtL9brqa5kXqq12KpXoflgLfRDC+/nmaavCuBI4FneS2mpM/H+v9h4bD0OUN+jzCRa0Hz4X+s/9f38Vr4GJaH75kx+2cbmvW0zqUZSXxH+2/xV8BroflSao/jpuXv6+n0mMjv3uner8Pw72gi/Q38J8094ELgxrYfLgIOA7Ya4zz29/j6e6j+DjAT+9z3+aT0+WOBL9JMe3cVzWfIRW3f7NMvVt/nM//hiB1JkiRJkiRJkqQhsczYVSRJkiRJkiRJkjQdmNiRJEmSJEmSJEkaEiZ2JEmSJEmSJEmShoSJHUmSJEmSJEmSpCFhYkeSJEmSJEmSJGlImNiRJEmSJEmSJEkaEiZ2JEmSJEmSJEmShoSJHUmSJEmSJEmSpCFhYkeSJM1YSXZJUkl2GXQskiRJkpac9/iSZGJHkiRJkiRJkiRpaJjYkSRJkiRJkiRJGhImdiRJ0piSbJrksCSXJrktyeVJfpnkpV31Xprkt0kWJbklyR+T7J1khR5tVpLj+5xvfrt/bkfZ3LZsfvvzoUmuSnJrkgVJduhq43jg6+3Tr7fHVne7kiRJ0mzkPb4kDa9lBx2AJEma3pLsBnwZ+BfwE+A84CHAPOBNwPfaevsBewNXAd8FbgS2B/YDnp3kmVV1xySE9HDgVOB84FvAasDLgCOSPKOqjmvrzQeuA14IHAGc2dHGdZMQhyRJkjSUvMeXpOFmYkeSJPWV5NHAl4Drga2q6uyu/Q9rt5vRfOC7GNi0qq5oy/cGfgzsAOxF8wFwSW0L7FNVH+yI47vAL9pzHAdQVfOTQPOh7/Cqmj8J55YkSZKGmvf4kjT8nIpNkiSN5o00XwTZt/sDH0BVXdL++Pp2++GRD3zt/juBPYG7gF0nKaYLgQ93xXE0cBGw6SSdQ5IkSZqpvMeXpCFnYkeSJI3mqe32qDHqbdJuj+3eUVV/BS4B1k8yZxJiOrOq/tWj/GJg1UloX5IkSZrJvMeXpCFnYkeSJI1mTru9dIx6q7Tby/vsv7yr3pK4rk/5nXhvI0mSJI1lTrv1Hl+ShpS/GCVJ0miua7frjFFvUbtdq8/+h3bVAyj6r/c3Z6zAJEmSJC2W69qt9/iSNKRM7EiSpNGc0m63H6PeGe122+4dSTYAHgZcUFXXdey6Fli3R/37AU+cYJz9jEzncL9Jak+SJEkadt7jS9KQM7EjSZJG82Wa6Q/el+TR3TuTPKz98ZB2+94kD+7Yfz/gkzT3HF/rOvxUYL0kz+oqfy/w8EmIHeDqdrveJLUnSZIkDTvv8SVpyPUbGilJkkRVnZPkTcCBwBlJjgDOA1YH5gE3ANtV1e+SfBz4H+BPSX4A3ETzLcDHAicCn+hq/pPAs4EjkhwGXANsDqwPHE+PbwYuhpOBm4G3JVkN+Edb/oWqWtT/MEmSJGlm8h5fkoafI3YkSdKoquorwJbAkTQfxPYCXgBcBXyxo967gFfQfCh8LfAWmnuN9wLPrKrbu9o9BtgROBt4ObAzsBDYFLhwkmK/FngRcA7wOmDf9rHqZLQvSZIkDSPv8SVpuKWqBh2DJEmSJEmSJEmSxsERO5IkSZIkSZIkSUPCxI4kSZIkSZIkSdKQMLEjSZIkSZIkSZI0JEzsSJIkSZIkSZIkDQkTO5IkSZIkSZIkSUPCxI4kSZIkSZIkSdKQMLEjSZIkSZIkSZI0JEzsSJIkSZIkSZIkDQkTO5IkSZIkSZIkSUNi2UEHIKm/NdZYo+bOnTvoMCRJkjTJTjvttKuq6sGDjkNLn/f4kiRJM9PSvMc3sSNNY3PnzmXBggWDDkOSJEmTLMmFg45Bg+E9viRJ0sy0NO/xnYpNkiRJkiRJkiRpSJjYkSRJkiRJkiRJGhImdiRJkiRJkiRJkoaEiR1JkiRJkiRJkqQhYWJHkiRJkiRJkiRpSJjYkSRJkiRJkiRJGhImdiRJkiRJkiRJkobEsoMOQFJ/F192HW953+GDDkOSJE0zn993x0GHIGkxeY8vSZI0tWbD5yVH7EiSJEmSJEmSJA0JEzuSJEmSJEmSJElDwsSOJEmSJEmSJEnSkDCxI0mSJEmSJEmSNCRM7EiSJEmSJEmSJA0JEzuSJEmSJEmSJElDwsSOJEmSJEmSJEnSkDCxI0mSJEmSJEmSNCRM7EiSJEmSJEmSJA0JEzuSJEmSJEmSJElDwsSOJEmSJEmSJEnSkDCxI0mSJEmSJEmSNCRM7EiSJEmSJEmSJA0JEzuSJEmSJEmSJElDwsSOJEmSJEmSJEnSkDCxI0mSJEmSJEmSNCRM7EiSJEmSJEmSJA0JEzuSJEmSJEmSJElDwsSOJEmSJEmSJEnSkDCxI0mSJEmSJEmSNCRM7EiSJEmSJEmSJA0JEzuSJEmSJEmSJElDwsSOJEmSJEmSJEnSkDCxI0mSJEmSJEmSNCRM7EiSJEmSJEmSJA0JEzuSJEmSJEmSJElDwsSOJEmSJEmSJEnSkDCxI0mSJEmSJEmSNCRM7EiSJEmSJEmSJA0JEzuSJEmSJEmSJElDwsSOJEmSJEmSJEnSkDCxI41DkrlJKsn89udDk1yV5NYkC5Ls0OOYFZK8O8kfktyc5PokJyR56SBegyRJkqR7eI8vSZKkYWViR5qYhwOnAnOBbwGHAY8Fjkiy3UilJMsDRwMfBZYDvtjWfxRwWJL9lm7YkiRJkvrwHl+SJElDxcSONDHbAl+sqqdW1duramfghTT/lvbqqLcnsA1wFPC4qtqrqv4LeBxwIbB3ks2XbuiSJEmSetgW7/ElSZI0REzsSBNzIfDhzoKqOhq4CNi0o/j1QAHvqKo7O+peCezbPt11akOVJEmSNA7e40uSJGmomNiRJubMqvpXj/KLgVUBkqwMbABcVlXn9qh7bLvduNcJkuzezum94Jabrp+MmCVJkiT15z2+JEmShoqJHWlirutTfif3/Htapd1e3qfuSPmcXjur6uCqmldV81Zc6UGLE6MkSZKk8buuT7n3+JIkSZqWTOxIk29Ru12rz/6HdtWTJEmSNL15jy9JkqRpw8SONMmq6gbg78A6SR7Zo8p27fb0pReVJEmSpMXlPb4kSZKmExM70tQ4BAjwiST3GylMsgbwvo46kiRJkoaD9/iSJEmaFpYddADSDPVJYHvghcBZSX4OPAB4CfAQ4ONVdeIA45MkSZI0Md7jS5IkaVowsSNNgaq6PckzgXcArwTeTLP46lnA26rqfwcZnyRJkqSJ8R5fkiRJ04WJHWkcqmohzbQL/fZv26PsVmC/9iFJkiRpGvEeX5IkScPKNXYkSZIkSZIkSZKGhIkdSZIk6f+zd+fxtp3z/cA/3yRilpmYrxqjhiJUEBJqHuJHtVVKpIRqUVU1E7PSosY01QhKi6hq1VgRJKYmNUbNIpFBhAymzN/fH3vdOk72ufece885+6xz3+/Xa73WOc/zrLW++9nr7Pus+93rWQAAADASEjsAAAAAAAAjIbEDAAAAAAAwEhI7AAAAAAAAIyGxAwAAAAAAMBISOwAAAAAAACMhsQMAAAAAADASEjsAAAAAAAAjIbEDAAAAAAAwEhI7AAAAAAAAIyGxAwAAAAAAMBISOwAAAAAAACMhsQMAAAAAADASEjsAAAAAAAAjIbEDAAAAAAAwEhI7AAAAAAAAIyGxAwAAAAAAMBISOwAAAAAAACMhsQMAAAAAADASEjsAAAAAAAAjIbEDAAAAAAAwEhI7AAAAAAAAIyGxAwAAAAAAMBISOwAAAAAAACMhsQMAAAAAADASEjsAAAAAAAAjIbEDAAAAAAAwEjvMOgBgYde+xs55zQsfOOswAACAZWKMDwDA1nLHDgAAAAAAwEhI7AAAAAAAAIyExA4AAAAAAMBISOwAAAAAAACMhMQOAAAAAAD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vMhng3ibJLsNyl0wemLpfko8Ng9eNnC/bhpcluVmSD3T3h+eU+3yBleEcXphx8epbq/24nvre+Gv5GLOsvIX62Hm8df4yyfOS/HmSO2WSNLtHd/9oThvn8dZZTB+v+/NYYgfGo4Z1zzQKtkp3P7+7j+ruH3b3L7r7q939uEwekHb5JIcsYXdbek4spb3zblzW6jnhPJqB7j6ju5/b3f/T3WcPyyeT3CPJ55LcIMmjt2TXS2jrfFlDquqJSZ6S5OtJ/mipmw9rny+wvLbZc9i4eE1aq/04mr43/loexiwrb1N97DzeOt29Z3dXJl9ceFAmd918oapuvYTdOI83YTF9vC2cxxI7sHZszMjutED9Vea1Y305dFjfeU7ZUs+JzbWf9q0A5924rNVzwnk0IsOt/W8afl3KZ47zZcSq6k+T/F2Sr2Xy8M6fzGvi8wVWhnN46YyLV85a7cd13/fGX4tnzLLyFtHHUzmPl2b44sJ7M0kk7JbkrXOqncfLYDN9vNA26+Y8ltiBteMbw3qhORRvOKwXmoORcTtjWM+9DXTBc2KYC/d6mTzg8LtJ0t0/T3JKkitV1dWnHGPaOeS8G5e1ek44j8Zn4y3q//eZ43xZv6rqz5O8LslXM7l4P31KM58vsDKcw0tnXLxy1mo/bgt9nxh/bZYxy8pbZB9vivN4ibr7+5kk0X6zqnYfip3Hy2iBPt6UdXEeS+zA2vHxYX2Pqvq1v82qunKSOyb5ZZLPrnZgrIp9hvV355QdNazvNaX9nZNcIcmnu/v8RW5z73ltkuQ7SU5KcqOqut4it2F21uo54fNrfG4/rL87r9z5ss5U1dOSvCrJFzO5eD9jgaY+X2BlOIeXzrh45azVftxW/k6MvzbBmGXlLaGPN8V5vGWuMawvHtbO4+U3v483ZX2cx91tsVjWyJLkw5nMofiEeeWvHMoPnXWMlq16f38zya5Tyq+b5FvDe/zMOeVXyeRbBOcn2XtO+eWSfHpo/wfz9nWHofzbSXaZU74hyY+TnJdkw7xtnjFs8+4k280pP2AoP2FuuWVFz5H9hj7/pwXq1+w54fNrTZ4vv51kxynldx3e905yB+fL+l2SPGfoz+Om/fszr63PF4tlhRbn8NQ+MS5emX7dL8aSs+5j468t61djlrXVx87jpffvTZLsOaV8uyQvHmI71nm8qn287s/jGjYC1oCqun4mH+BXTfK+JP+byQfR/pncgneH7v7x7CJka1TVIUmenkl2/ntJfprk+knum8k/3h9I8v+6+4I52zwwyZGZ/OPxL0l+kuQBSW48lP9ez/sgr6q/TfIXSX4wtNkxye9nMt/oE7r7dfPaXzaTbw/cIZNB3seSXCfJQ5JckOSu3f255ekF5hve4wcOv+6Z5J6ZfGvkU0PZmd39l/Par7lzwufX6ljK+VJVR2fyH2dHZ/LeJ8ktMhnIJslzuvtFU47hfFkHquqRSY7I5Btrr830OZpP7O4j5mzzwPh8gWXnHL404+LlYyy58oy/VpYxy8pbah87j5dumOLuFUk+mcldHD9OcrUkd0nyG0lOT3K37v7anG0eGOfxoi21j7eJ83gWGTaLxbLwkuTaSd6c5LThA+D7mTzUbpPfqLCs/WX4x+afk3w9ydlJLszkGxofTfKIZJJsn7LdHTO5uD0rk9sxv5LkyUm238SxHpnkv5P8PJML5U8kud8m2l8+yfMz+Ybk+UNc705y01n323pfkhySyTcyFlpOHMs54fNrbZ0vSf44yfuTnJjkZ8P7eFKSdybZdzPHcb6MfFnEudJJjp6ync8Xi2UFFufwpfrDuHj5+nJzn/cnjqUf1+rfyVL6OMZfK9G/xiyr3MfO4y3q45sleX0m09ydmcnzcc4Z+uKQhWJzHq9cH28L57E7dgAAAAAAAEZiu803AQAAAAAAYC2Q2AEAAAAAABgJiR0AAAAAAICRkNgBAAAAAAAYCYkdAAAAAACAkZDYAQAAAAAAGAmJHQAAAAAAgJGQ2AEAAAAAABgJiR0AYN2qqgOrqqvqwFnHAgAAbD1jfACJHQAAAAAAgNGQ2AEAAAAAABgJiR0AYLOq6nZV9c6qOqWqzq+q06rqI1X1e/Pa/V5VfbKqzqmqX1bVV6rqGVV12Sn77Ko6eoHjHTHUb5hTtmEoO2L4+V+q6syqOq+qjquq+83bx9FJ3jz8+uZh256/XwAA2BYZ4wOM1w6zDgAAWNuq6jFJ3pjk4iT/nuRbSa6aZO8kj0/yrqHdS5I8I8mZSd6R5GdJ7p3kJUnuWVV37+4LlyGk6yb5fJLvJnlbkl2T/H6S91XV73T3x4d2RyQ5O8kBSd6X5Itz9nH2MsQBAACjZIwPMG4SOwDAgqrqpknekOTcJPt29wnz6q81rPfJ5ILv5CS36+7Th/JnJHlvkvsleWomF4Bba78kh3T38+fE8Y4kHxqO8fEk6e4jqiqZXPT9W3cfsQzHBgCAUTPGBxg/U7EBAJvyJ5l8EeSF8y/4kqS7fzD8eNCwftHGC76h/qIkT0lySZJHL1NM30/yonlxfDjJSUlut0zHAACA9coYLKIfDgAAshdJREFUH2DkJHYAgE25/bD+4Gba3XpYHzW/oru/meQHSa5XVTsvQ0xf7O6Lp5SfnGSXZdg/AACsZ8b4ACMnsQMAbMrOw/qUzbTbaViftkD9afPabY2zFyi/KMY2AACwOTsPa2N8gJHywQgAbMrZw/qam2l3zrDec4H6q89rlySdhZ/3t/PmAgMAALbI2cPaGB9gpCR2AIBN+eywvvdm2n1hWO83v6KqbpDkWkm+191nz6k6K8m1p7TfPslvLTHOhWyczmH7ZdofAACMnTE+wMhJ7AAAm/LGTKY/eE5V3XR+ZVVda/jx8GH97KraY0799kn+JpMxxz/O2/zzSa5TVfeYV/7sJNddhtiT5MfD+jrLtD8AABg7Y3yAkVvo1kgAgHT316rq8UkOTfKFqnpfkm8l2S3J3kl+mmT/7v50Vb08yV8l+WpVHZnk55l8C/BmSY5J8op5u/+bJPdM8r6qemeSnyS5Q5LrJTk6U74ZuAU+k+QXSf68qnZN8sOh/LXdfc7CmwEAwPpkjA8wfu7YAQA2qbv/Icmdkrw/kwuxpyZ5QJIzk7x+TrunJXloJheFj0jyxEzGGs9OcvfuvmDefj+W5IFJTkjyB0kemeTEJLdL8v1liv2sJA9O8rUkj0rywmHZZTn2DwAAY2SMDzBu1d2zjgEAAAAAAIBFcMcOAAAAAADASEjsAAAAAAAAjITEDgAAAAAAwEhI7AAAAAAAAIyExA4AAAAAAMBISOwAAAAAAACMhMQOAAAAAADASEjsAAAAAAAAjITEDgAAAAAAwEjsMOsAgIXtvvvuvWHDhlmHAQDAMjv++OPP7O49Zh0Hq88YHwBgfVrNMb7EDqxhGzZsyHHHHTfrMAAAWGZV9f1Zx8BsGOMDAKxPqznGl9gBAACAVXL2z36ef//U52cdBgDAuvWAfW836xBWnGfsAAAAAAAAjITEDgAAAAAAwEhI7AAAAAAAAIyExA4AAAAAAMBISOwAAAAAAACMhMQOAAAAAADASEjsAAAAAAAAjITEDgAAAKNQVRuqqqvqiKq6flUdWVU/rqqfVtVHqupmQ7s9quqwqjqtqs6rqv+uqv3n7esaVfXcqjq2qk6vqguq6tSqekdV7TWv7U2G4x61idi+UlUXVtWeK/PqAQBgQmIHAACAsdmQ5HNJrpbkiCQfSfI7SY6uqhsm+WyS2yZ5Z5J3Jbllkg9W1XXm7OPOSZ6e5Owk70nyqmG7303y31V1y40Nu/vrST6eZP+qutH8YKrqDkluluR93X36Mr5OAAC4lB1mHQAAAAAs0V2SPLu7X7yxoKqek+QFmSR83pXk8d19yVD30SRvTfLkYUmSo5Jcrbt/OnfHQ0Ln2CQvS3LvOVVvSLJ/koOT/OW8eA4e1n+/1a8MAAA2o7p71jEAC9hjl+v2Afs9a9ZhAKx7b3rvwZtvBLCMqur47t571nGMTVVtSPK9JCcmuUF3Xzyn7jpJvp/kF0n2nJuwqartk5yX5Jju/rUp2RY4zr8nuUeSK3f3hUPZDsP+L5vkmt19/lC+c5JTh+WGPeUiu6oOzpD82eNqe97mTe9+31JfOgAAi/SAfW83k+Ou5hjfVGwAAACMzRfnJnUGpw7rb86/C2do+8Mk15pbXlX3rar/GJ7Fc+HwHJ1Ocv9MEji7z9nHRUnelGS3JA+es5s/SnL5JIdNS+oM2x7W3Xt3995X2Xnnpb5WAAD4NaZiAwAAYGzOmV/Q3RdV1dS6wUVJLrPxl6p6YpK/S3JWko8mOSmTu306yQMzeS7PZeft47Akz0zy2CTvGMoOTnJBkjdv0SsBAIAlktgBAABgmzJMq/b8JKcnuXV3nzavfp9p23X3KVX1H0n+X1XtlWSXJDdL8s7u/tEKhw0AAElMxQYAAMC2Z/ckOyf59JSkzpWS3HoT275hWP/fc3OS/P1yBwgAAAtxxw4AAADbmjMymXbtNlV1pe7+WZJU1WUymZ5t901s+7Ek30zyyCSXy+SZPh9f4XgBAOD/uGMHAACAbUp3X5LkNUmum+QrVfXqqnpDki8nuV+SBRM13d1JDs1kGrbLx906AACsMokdAAAAtkXPSfKUJL9M8tgkD0pyXJLbJTlpM9sekeSSJOcnecvKhQgAAJdmKjYAAABGobtPTFKbqN9U3YZ5v1+U5JXDMt+Bw7KQW2byRcl3d/ePN9EOAACWnTt2AAAAYGn+ali/bqZRAACwTXLHDgAAAGxGVd08k+fv3CbJvZO8v7s/N9uoAADYFknsAAAAwObdJslLkpyb5N1JHr8lO9n5SlfMA/a93XLGBQDANkZiBwAAADaju49IcsSMwwAAAM/YAQAAAAAAGAuJHQAAAAAAgJGQ2AEAAAAAABgJiR0AAAAAAICR2GHWAQAAAMC24tQzz83z/uHDsw4DWMDzH3PPWYcAAJvljh0AAAAAAICRkNgBAAAAAAAYCYkdAAAA1q2q2lBVXVVHzDoWAABYDhI7AAAAAAAAI7HDrAMAAACAFXRKkr2SnDPrQAAAYDlI7AAAALBudfeFSb4+6zgAAGC5mIoNAACAdWvaM3aq6uiq6gXaHzi0P3Be+YnDcoWqekVVnVRV51fVt6vqaVVVK/tKAABgwh07AAAAsDiXSfKRJNdI8sEkFyV5YJKXJblckufPLDIAALYZ7tgBAACAxblGknOT/GZ3P7a7/zTJrTJ5fs+Tq+oyM40OAIBtgsQOAAAALN4Tu/uXG3/p7jOSvC/JTkluPG2Dqjq4qo6rquN+8dNzVilMAADWK4kdAAAAWJxzuvvbU8pPHta7TNuouw/r7r27e+8rXHmnlYsOAIBtgsQOAAAALM7ZC5RfNKy3X6U4AADYhknsAAAAsK25JEmqaocpdTuvbigAALA0EjsAAABsa84a1teeUrf3agYCAABLJbEDAADAtubzw/oxcwur6m5JHrr64QAAwOJJ7AAAALCteXOSHyd5RlX9Z1W9oqrel+SDSd4729AAAGDTJHYAAADYpnT3GUnukkki585J/iTJTknunuT9MwwNAAA2a9qDIgEAAGC9uNywPn9uYXefkOQ+U9p/IskR8wu7e8NCB+juQ5IcsoXxAQDAkrhjBwAAgPXsRsP6BzONAgAAlok7dgAAAFh3quoWSR42LJfEs3MAAFgnJHYAAABYj26d5AlJvp7kcd391RnHkyS5xu5XyfMfc89ZhwEAwIhJ7AAAALDudPcRmfKsHAAAGDvP2AEAAAAAABgJiR0AAAAAAICRkNgBAAAAAAAYCYkdAAAAAACAkdhh1gEAAADAtuKkk8/Kn/3Fe2YdBsCKet0rHzzrEADWNXfsAAAAAAAAjITEDgAAAAAAwEhI7LAsqurEqjpxBsfdr6q6qg5Z7WMDAADjVlUbhuuJI7ZyPzO5HgIAYNsksbONWq4LGAAAAAAAYPXsMOsAAAAAYEZOSbJXknNmHQgAACyWxA4AAADbpO6+MMnXZx0HAAAshanYtkHD82i+N/z6yGFKto3LgXPa3bOqPlBVZ1bV+VX1nap6RVXtvMTjPbSqPl5VZ1XVeVX1v1X17Kq67JS2XVVHV9U1quptVXVGVf2yqo6vqj/czHF+q6r+s6rOrqpfVNUnquoOC7TdqapeWlXfGGI6q6o+XFW/M6Xt/z3HZ4nH2KGqHl9Vn62qc4f2X6iqP6sqf3sAADBj06aoHq5HeoH2B86/bgIAgNXmP5e3TUcn+bvh5y8lef6c5YtJUlXPTfKhJL+d5D+TvCbJt5P8ZZJjq+oqizlQVf1jknckuUGSf03y+iQ/SfLCJB+qqml3je2S5NNJbp7kzUnemuQ3kry9qp66wKH2Hra5XJI3JXl/kjsl+VhV3XheTDsPbZ+eyZQLr07yniT7JPlIVT12GY5xmaH+9Ul2HvrgsEz+5l6b5C0LHAMAAAAAABZkKrZtUHcfXVUnJnlSki929yFz66tq/0ySPJ9Jcp/uPntO3YGZJFuen+TJmzrO0PagJO9N8rDu/uWcukOSPC/Jn+ZXSaaNbpHk3Un+oLsvGdq/LMnxSV5cVe/p7u/O2+a+SR7V3UfMOcZjkxw6vM7Hz2n710lumkmi5XHd3UP7v05yXJLXVNWHu/vErTjGs5LcM8nrkvx5d188tN9+OO5BVXVkd79vfr8BAAAAAMBC3LHDNE8c1o+Zm9RJkiGp8cUkD1vEfp6U5KIkB81N6gxemOTHC+zn4iRP25jUGY77vUzuGrpMkj+ass2xcxMug8OH499uY8FwJ83Dk/wsyTM2JnWGY3xrOMaOSR6xFcfYLsmfJTk9yZM3JnWGY1yc5ClJOovrQwAAAAAA+D/u2GGafZJcmOQhVfWQKfU7Jtmjqnbr7h9P20FVXSHJLZOcmeTPq2pas/OT7DWl/KQhkTPf0Znc5XOrKXXHzS/o7gur6oeZTO220U2SXCGTJM1PpuznqCTP3spj3CjJbkm+leTZC7z2X2b6a09VHZzk4CS54uV3ndYEAAAYkblj/CtdefcZRwMAwNhJ7DDNbpmcG8/bTLsrZXLXzTS7JKkkeyxiP/P9cIHy04f1TlPqzl5gm4uSbD/n943bnrZA+43lO2/FMXYb1jfMpl/7laYVdvdhmUzXlj12ue7Uh7YCAADjMXeMf9WrXd8YHwCArSKxwzTnJNmuu7fmdpFzhvUXuvvWS9z2aguU7zlv31ti47Z7LlB/9WU8xnu7+0FbsR8AAGD1bXzO5w7dfdG8up1XPxwAAPh1nrGz7dr43Jftp9R9NskuVfWbW7rz7v5ZkhOS/GZVLTVBdJ2q2jClfL9h/YUtjSvJN5L8IslvVdUuU+r3H9b/sxXH+Homd/fcfnimDwAAMB5nDetrT6nbezUDAQCAaSR2tl1nJekk15lS96ph/Q9VdY35lVV1xaq6/SKO8cpMnsdzeFXtPGU/u1TVtLt5tk/y11W13Zy210vyxEymPfunRRx7qu6+IMnbM5kG7QXz4rn+cIwLk7xtK45xUZLXZnL3z2uq6vLz21TV1avqplt6DAAAYMV8flg/Zm5hVd0tyUNXPxwAAPh1pmLbRnX3z6rqc0n2raq3J/lmJnfx/Ht3f6yqnp7kpUm+VVUfSPK9TJIh101ylyTHJLnXZo5xeFXdJsnjk3ynqj6c5KQkuya5XpI7J3lzksfN2/TLSX47yfFV9ZFMnovz+5lMe/BX3f2drXz5T0+yb5I/q6rbJvl4kt2T/F6SKyf5s+7+3lYe44VJbpnJa7t/VR2V5JQkV83k2Tt3TPKsJF/byuMAAADL681JnprkGVV1y0zG7DdKcu8k703y4BnGBgAAEjvbuD/K5O6ce2XyzbNK8oMkX+7uv66qYzO5g+VOSQ7I5Nkxp2Ty0M93LOYA3f2nVfXBTBIcv5NJcuYnmSR4XpHpd9+clclF08uTPCrJVTK5mPqb7l7UcTcT00+qap8kz0jyoCR/keSXmXwz7xXd/ZFlOMaFVfXAJA9PcmCS+2WSGPtRJkmy52Ry5xAAALCGdPcZVXWXTK5X7pzJF9uOS3L3TL6gJrEDAMBMSexsw7r720nuv4n6YzK5M2cx+9qwibr3J3n/EmM7NZOkyObaHZ1JQmpJcXX32UmeNiwrdYzOZEq3LZ7WDQAAWFGXG9bnzy3s7hOS3GdK+08kOWJ+4aauhwAAYLl5xg4AAADbqhsN6x/MNAoAAFgCd+wAAACwTamqWyR52LBcksmzcwAAYBTcsQMAAMC25tZJnpDkjCQHdPdXZxwPAAAsmjt2WFO6e8Fn2QAAACyH7j4iU56Vsxquc+1d8rpXPngWhwYAYJ1wxw4AAAAAAMBISOwAAAAAAACMhMQOAAAAAADASEjsAAAAAAAAjMQOsw4AAAAAthXf+8bpecRdXjHrMICReesnnjrrEABYQ9yxAwAAAAAAMBISOwAAAAAAACMhsQMAAAAAADASEjsAAAAAAAAjIbEDAAAAAAAwEhI7AAAAAAAAIyGxAwAAwKhV1YFV9Z6q+m5V/bKqzq2qY6vq4VPanlhVJy6wn0Oqqqtqvyl1D6uq/xn2f0ZVva2qrlFVR1dVL/uLAgCABeww6wAAAABgK70xydeSfDLJaUl2S3KfJG+rqht393O2ZudV9dQkL09yVpK3JDknyd2THDv8DAAAq0ZiBwAAgLG7WXd/Z25BVe2Y5INJnl5Vh3b3KVuy46r6jSQvSXJmklt398lD+dOTvCPJH2xV5AAAsESmYgMAAGDU5id1hrILkrw+ky803m0rdv+Hwz5euzGpM+y/kzw9ycVbsW8AAFgyiR0AAABGraquU1Wvr6qvV9UvhufkdJL3DE2uuRW7v9WwPmZ+RXd/P8nJ88unxHdwVR1XVcedf+HPtyIUAAAwFRsAAAAjNkyV9vkkuyT5VJKPZPLcm4uTbEjyyCSX3YpD7DSsf7hA/Q+H4yyouw9LcliS7Hbla/VWxAIAABI7AAAAjNpfJNktyaO6+4i5FVX10EwSO3NdkmTHBfa185Syc4f11ZKcMKX+aosNFAAAloOp2AAAABizGwzr90ypu8uUsrOSXK2qLjOlbu8pZV8Y1neaX1FV101y7cUECQAAy0ViBwAAgDE7cVjvN7ewqu6Z5NFT2n8+k9krHjWv/YFJ7jil/TuSXJTkCVV17TntK8lLk2y/ZWEDAMCWkdgBAABgzN6Q5IIk766qt1fVy6vqA0k+mOTIKe1fm+T8JG+sqndW1d9U1UeTvD7J++c37u7vJHlukt2TfKmq3lhVL0tyXJJ9knwpiefmAACwaiR2RqCqDq+qB2ymzf2q6vDVigkAAGAt6O4vJ9k/yaeT3CfJnyS5SpIHJTl0SvuvJfmdJMcmuX+SgzNJDO2T5PgFjvHSJI9I8v1M7vT54yT/m8kdPjvkV8/hAQCAFbfDrANgUQ7MZHqBf99Em1tm8lDQg1YhHgAAgDWjuz+d5K4LVNeU9sckufOUtl9OcsgCx3hbkrf92o6rrpLk+km+uPhoAQBg67hjZ/24bJKLZx0EAADAelNVe1TVZeaV7ZDkb5NcLsl7ZxIYAADbJHfsjMeCczZX1WUz+bbZ6asXDgAAwDbjwUleUFX/leTkJLtmcg12o0zu1nnt7EIDAGBbI7GzRlXVd+cVPbmqHjWl6fZJ9sjkjp1LzR8NAADAVvtcko3Tt+02lH0vyYuT/HV3/3JWgQEAsO2R2Fm7tsuv7tLpTOaFvtTc0EkuTPKVJB9L8qLVCQ0AAGDb0d1fSPKg5djX9W68Z976iacux64AANhGSeysUd29YePPVXVJkld19wtmFxEAAMCWqaq9k9wuyS6ZzDowX3f3C1c3KgAAGCeJnXHYP8mJsw4CAABgKarqKkn+NZNrmmkzEGzUSSR2AABgESR2RqC7PzHrGAAAALbAK5LcNcmnkrw5yclJLpppRAAAMHISOyNQVc9O8rwkG7r7lCn118jkjp7ndvfLVjk8AACAhRyQ5H+S7N/dl8w6GAAAWA8kdsbh/kmOnpbUSZLuPrWqPp7JRZPEDgAAsFbslORtkjq/8vUvfyt3usa9Z3LsY0794EyOCwDA8tpu1gGwKDdI8rXNtPna0A4AAGCt+FaSq806CAAAWE8kdsbhCkl+sZk25yW58irEAgAAsFivT3L/qrrmrAMBAID1wlRs43Bykttvps3tk0ydqg0AAGA1VNV15hV9MMldkxxbVc9PcnySs6dt290nrWx0AACwPkjsjMOHkvxpVf1+d79zfmVV/UGSuyR5w6pHBgAA8CsnJukp5ZXkTZvYrjOy69OqOjFJunvDbCMBAGBbM6qB8zbsr5M8LMk7qur3M0n0nJLkmknuneQBSX6S5GUzixAAACB5a6YndgAAgGUisTMC3X1KVd0zybuTPDDJAXOqK5NvxT2ku3+w+tEBAABMdPeBs44BAADWu+1mHQCL093HJblRkt9N8rdJ/nFY/26SG3f38TMMDwAAYM2qqt+rqk9W1TlV9cuq+kpVPaOqLjul7bWq6jVV9a2qOq+qflJVn6+q5wz1+1VVJ7lukutWVc9ZjljllwYAwDbIHTsj0t0XJvnXYQEAAFjTquriJId09ws30eZZSZ7f3StyfVpVL0nyjCRnJnlHkp9lMqX1S5Lcs6ruPlxrpar2TvLhJLsm+WQm115XSHLTJIckeWEmMyY8P8mfD4d49ZzDfXElXgMAAMwlsQMAAMBKqWFZTLvlP3jVPpkkdU5OcrvuPn0of0aS9ya5X5KnJnlJVe2YyfTXuyZ5WHe/Y96+rp0k3X1ikkOq6sDh90NWInYAAFiIxM6IDNME3DbJNZNcasqAJOnut65qUAAAAFtnlyTnrdC+DxrWL9qY1EmS7r6oqp6S5D5JHp3J3Tv3T7Ihyb/PT+oM25y8QjECAMCSSOyMRFUdlOTlmVz0TG2SpJNI7Kwj173+HnnTew+edRgAALBoVXXneUUbppQlyfZJrpPkYUm+sULh3HpYHzW/oru/WVU/SHK9qto5ye2Hqg8udxBVdXCSg5Pksttfbrl3DwDANkZiZwSq6l5J3pTkhCQvTvK3Sf4tyeeT7JfkHplMGfCB2UQIAADwf47O5EtnGdaPHJZpKsklSZ6yQrHsNKxPW6D+tEySSzsl2XkoO2W5g+juw5IcliRX2nGn3kxzAADYJImdcXhKkh8nuUN3/7Sq/jbJF7v7ZUleVlV/nOTQJK+dZZAAAABJXpBJQqeSPDeTRM8nprS7OJPrnI9399dXKJZzhvWeSb4zpf7qc9qdPfx8zRWKBQAAloXEzjjcOsn7uvunc8q22/hDd/9jVf1RkmclufdqBwcAALBRdx+y8eeqemSSf+vu18wonC9kcj21X+YldqrqBkmuleR73X12VX12qLp3Jl+c25yLk+y4fKECAMDibLf5JqwBV8yvTx1wXpKrzGtzXJLfXrWIAAAANqO7rzfDpE6SHD6sn11Ve2wsrKrtk/xNJtfE/zgU/0eSE5M8oKoeOn9HVTX/Tp4fJ9mjqi6/3EEDAMCmuGNnHE5Pssec309LcuN5bXbK5OGjAAAAJOnuT1fVy5P8VZKvVtWRSX6eyV05N0tyTJJXDG0vqKqHJPlIkndU1WOTfDbJ5ZLsleRu+fVr6I8luW2SD1XVJ5Ocn+RL3f0fq/LiAADYZknsjMMJ+fVEzqeS/EFV7dvdn6qqmyX5vaEdAADAmlFVN0zypCS3S7JLpn8hrbv7+itx/O5+WlV9IcmfJXlEkstkMi3bs5P8bXdfMKftcVX1W0menkny5w5Jfprk20meN2/XL0qyc5L7J7ljJq/rLZnc+QMAACtGYmccPpjk1VV1je4+NcnLkzwkydFV9ZMku2byYNIXzTBGAACAX1NV+yT5rySXT3JRkh8O60s1Xck4uvtfkvzLItuelOTxi2j38yR/MiwAALBqJHbG4e+TvDvJWUnS3V+rqrtl8g2z62fyfJ1Xd/eHZxciAADApbw0yWWTPC7J4d09LakDAAAsgcTOCHT3hZl8s21u2WeT3G82EQEAACzKbZMc2d2HzToQAABYL7abdQBsXlU9oqpusZk2N6uqR6xWTAAAAItwQZKTZh0EAACsJ+7YGYcjkhyS5MubaHNAkhckeesqxAMAALAYn05yq1kHsZbc5BY3zDHHfXDWYQAAMGLu2Fk/tk/Ssw4CAABgjmcmuUNV/dGsAwEAgPXCHTvrx42SnDXrIAAAAOY4IMlRSY6oqkcnOT7J2VPadXe/cDUDAwCAsZLYWaOq6vB5RQ+sqg1Tmm6f5DpJ9k3ynysdFwAAwBIcMufnfYdlmk4isQMAAIsgsbN2HTjn507yW8MyTSf5XJInr2hEAAAAS7P/rAMAAID1RmJn7bresK4k303y6iR/N6XdxUnO6u6fr1JcAAAAi9Ldn5h1DGvN17/09dzp6vvMOgxYFsec9plZhwAA2ySJnTWqu7+/8eeqen6Sj88tAwAAAAAAtj0SOyPQ3c+fdQwAAABbqqquk+QRSW6VZOck5yT5nyRv8wU2AABYGomdEamq7ZPcOMkuSbaf1qa7P7mqQQEAAGxCVT0myWuS7JjJVNMbPTDJs6vqSd3997OIDQAAxkhiZySq6jlJnpxkp800nZrwAQAAWG1Vdbckhyb5aZJXJDkqyWlJrp7krkmemOT1VfXt7v7YzAIFAIARkdgZgar6qyTPz2S6grclOTnJRTMNCgAAYPOemklS5zbd/Z055d9IcnRVvSXJ8UM7iR0AAFgEiZ1xeEySU5Lcurt/NOtgAAAAFul2Sd41L6nzf7r7O1X17iQPXt2wAABgvLabdQAsyrWT/JukDgAAMDKXT3LmZtr8aGgHAAAsgsTOOPww7q4CAADG5/uZPEtnU/ZPctLWHqiqNlRVV9URw8//UlVnVtV5VXVcVd1vyjaXraqnV9WXq+oXVXVuVX2qqn5vXrt9hn3/6yaO/79VdX5V7bq1rwUAADZFYmcc3pXk7lV12VkHAgAAsATvTXLbqnpDVe08t6Kqdqqqv8tkurYFEyZb4LpJPp9kQybPKH1nkpsleV9V7T/n+Dsm+XCSlya5TJLXD+1vlOSdVfWSjW27+zOZPBfoflW12/wDVtXtktwkyX9090+W8bUAAMClSOyMw3OTnJbkyKq63qyDAQAAWKSXJvl6kscl+X5VfbKq3llVn8jkLp0nZJIweekyHnO/JK/v7tt395O7+5FJDsjk+vepc9o9Jcldknwwyc27+6nd/adJbp7JnUbPqKo7zGn/lkwSQA+dcsxHzmkDAAArqrp71jGwGVX13UwuIK4xFJ2T5OwpTbu7r79acbHyrnmlXfpxN7/brMMAAFi3nvOZI2dy3Ko6vrv3nsnBV1lV7ZTk5UkeluQKc6p+keTtSZ7e3Wctw3E2JPleJkmZ63f3xfPqv5/kit29+/D7t5JcP8lNu/vr89r+cZI3JXlzdx80lF1r2Pf/dPdt57TdMZMv4l2U5JrdfdGU2A5OcnCSXHa7HW+z91VvvbUvF9aEY077zKxDAIA1YzXH+O7YGYftMrlIOGlYzklSUxbvJwAAsKZ09znd/dgkOye5RZJ9h/Uu3f3Y5UjqzPPF+UmdwclJdkmSqrpykhskOXV+Umdw1LC+1caC7v5Bko8l2buqbjqn7f2T7Jrk7dOSOsO2h3X33t299w7bXWbJLwgAAObaYdYBsHndvWHWMQAAAGyNIenx1VU41NkLlF+UX30ZbqdhfdoCbTeW7zyv/Igkd89k6rWnDWWmYQMAYFVJ7AAAALBihinMnpzkt5JcK5Nppudb7WmlzxnWey5Qf/V57TZ6b5Jzkzy8qp6ZyZ06907ype7+0rJHCQAAU0jsjFBVXSWTb5id093nzjoeAACAaapqvyQfSHK5TO6Y+eGwvlTT1Ysq6e6fVtV3kvxGVd2wu781r8n+w/p/5m33y6p6V5JHJ/mdJHtlcl3tbh0AAFaNZ7KMRFVtX1VPr6pvJzkryYlJzqqqbw/lknQAAMBa8/Ik2yd5RJLLdfe1u/t605YZxHZ4JgmlV1TV9hsLq2r3JM+Z02a+I4b1I4bloiRvX7kwAQDg10kGjEBV7ZjkQ0nukqQzeejnaZlMD7AhyYuT3Kuq7tHdF8wqTgAAgHlunuSfu/ufZh3IFH+TyTRqByT5UlV9IMkVkjwkyVWTvLy7j5m/UXcfO3zh7iGZTCv3H919xuqFDQDAts4dO+PwF0n2S/KfSfbq7g3dvU93b0hy4yT/kWTfoR0AAMBacVaSn8w6iGmGL8XdPcmzhqInJHlkkm8l+cPuftomNn9LfvWsINOwAQCwqtyxMw5/mOSrSR7Y3ZfMreju71TVg5J8McnDkrxs9cMDAACY6v2ZzDyw4rr7xGziWT3dvd+UsvOSvGRYlnKsFyV50dIiBACA5eGOnXG4QZIPzk/qbDSUfzDJ9Vc1KgAAgE17ZpKdqur1VXXFWQcDAADrgTt2xuGCJFfaTJsrJrlwFWIBAABYlO4+s6ruleRzSR5RVd9Mcs70pn231Y0OAADGSWJnHL6c5Her6pDu/tH8yqraPcnvJvnSqkcGAACwgKr6zSQfT7LLUHSrBZr26kQ0eze55U1yzHGfmXUYAACMmKnYxuF1SfZI8vmq+uOq+o2qunxVXa+qHpXJt9/2GNoBAACsFa9MsluS5ya5bpLLdPd2U5btZxsmAACMhzt2RqC731VVv5Xk6UkOm9Kkkry8u9+1qoEBAABs2j5J/rW7XzTrQAAAYL2Q2BmJ7n5mVf17kj/OZPqCnTKZm/oLSQ7vbvfyAwAAa80FSU6cdRAAALCeSOyMSHd/NslnZx0HAADAIh2d5HazDgIAANYTiZ0RqKqHJPmTJA/v7lOn1F8zyVuTvL67/3W14wMAAFjAXyX5XFU9Pclfd3fPOqBZO/mEb+fJN3/ggvWv+sq/rVosAACMk8TOODw6yc7TkjpJ0t2nVNVVhnYSOwAAwFrx7CRfTfLiJI+pqi9mMqX0fN3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      "text/plain": [
       "<Figure size 1800x2520 with 11 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(25,35)) #Размер фигуры из библиотеки plt\n",
    "for index, col in enumerate(categorical_features):\n",
    "    plt.subplot(6, 2, index+1) #*args int, (int, int, index )\n",
    "    ax = sns.countplot(y=col, data=bank, palette=\"twilight\") #Выбор данных и палитры цветов\n",
    "    ax.set_xlabel(\"count\", fontsize=20) #Размеры лейблов\n",
    "    ax.set_ylabel(col, fontsize=20)\n",
    "    ax.tick_params(labelsize=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "125c7fc4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of entries:\n",
      "yes     4640\n",
      "no     36548\n",
      "Name: y, dtype: int64\n",
      "\n",
      "Percentages:\n",
      "yes    11.265417\n",
      "no     88.734583\n",
      "Name: y, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(\"Total number of entries:\") #Общее количество записей\n",
    "print(bank[\"y\"].value_counts(ascending=True)) #Количество значений по возрастанию\n",
    "print()\n",
    "print(\"Percentages:\") #Проценты\n",
    "print(bank[\"y\"].value_counts(normalize=True,ascending=True)*100) #Количество значений и перевод в проценты"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3840afd0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1296 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,18)) #Размер фигуры из библиотеки plt\n",
    "for index, col in enumerate(numerical_features):\n",
    "    plt.subplot(5, 2, index+1)\n",
    "    sns.violinplot(x=col, y=\"y\", data=bank,order=[\"yes\", \"no\"], palette=\"twilight\") #Выбор данных и палитры цветов"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffbdfa88",
   "metadata": {},
   "source": [
    "Влияние числовых характеристик на результат"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6cc23cdf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            background-color:  #f0eaf0;\n",
       "            color:  #000000;\n",
       "        }#T_823eb_row6_col3{\n",
       "            background-color:  #d1a9d1;\n",
       "            color:  #000000;\n",
       "        }#T_823eb_row7_col3{\n",
       "            background-color:  #b671b6;\n",
       "            color:  #000000;\n",
       "        }#T_823eb_row8_col3{\n",
       "            background-color:  #ebe0eb;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_823eb_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >column</th>        <th class=\"col_heading level0 col1\" >mean yes</th>        <th class=\"col_heading level0 col2\" >mean no</th>        <th class=\"col_heading level0 col3\" >ttest stat</th>        <th class=\"col_heading level0 col4\" >ttest pval</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_823eb_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_823eb_row0_col0\" class=\"data row0 col0\" >age</td>\n",
       "                        <td id=\"T_823eb_row0_col1\" class=\"data row0 col1\" >40.913147</td>\n",
       "                        <td id=\"T_823eb_row0_col2\" class=\"data row0 col2\" >39.911185</td>\n",
       "                        <td id=\"T_823eb_row0_col3\" class=\"data row0 col3\" >6.172100</td>\n",
       "                        <td id=\"T_823eb_row0_col4\" class=\"data row0 col4\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_823eb_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_823eb_row1_col0\" class=\"data row1 col0\" >duration</td>\n",
       "                        <td id=\"T_823eb_row1_col1\" class=\"data row1 col1\" >553.191164</td>\n",
       "                        <td id=\"T_823eb_row1_col2\" class=\"data row1 col2\" >220.844807</td>\n",
       "                        <td id=\"T_823eb_row1_col3\" class=\"data row1 col3\" >89.967200</td>\n",
       "                        <td id=\"T_823eb_row1_col4\" class=\"data row1 col4\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_823eb_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_823eb_row2_col0\" class=\"data row2 col0\" >campaign</td>\n",
       "                        <td id=\"T_823eb_row2_col1\" class=\"data row2 col1\" >2.051724</td>\n",
       "                        <td id=\"T_823eb_row2_col2\" class=\"data row2 col2\" >2.633085</td>\n",
       "                        <td id=\"T_823eb_row2_col3\" class=\"data row2 col3\" >-13.496500</td>\n",
       "                        <td id=\"T_823eb_row2_col4\" class=\"data row2 col4\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_823eb_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_823eb_row3_col0\" class=\"data row3 col0\" >pdays</td>\n",
       "                        <td id=\"T_823eb_row3_col1\" class=\"data row3 col1\" >792.035560</td>\n",
       "                        <td id=\"T_823eb_row3_col2\" class=\"data row3 col2\" >984.113878</td>\n",
       "                        <td id=\"T_823eb_row3_col3\" class=\"data row3 col3\" >-69.722100</td>\n",
       "                        <td id=\"T_823eb_row3_col4\" class=\"data row3 col4\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_823eb_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_823eb_row4_col0\" class=\"data row4 col0\" >previous</td>\n",
       "                        <td id=\"T_823eb_row4_col1\" class=\"data row4 col1\" >0.492672</td>\n",
       "                        <td id=\"T_823eb_row4_col2\" class=\"data row4 col2\" >0.132374</td>\n",
       "                        <td id=\"T_823eb_row4_col3\" class=\"data row4 col3\" >48.002700</td>\n",
       "                        <td id=\"T_823eb_row4_col4\" class=\"data row4 col4\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_823eb_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_823eb_row5_col0\" class=\"data row5 col0\" >emp.var.rate</td>\n",
       "                        <td id=\"T_823eb_row5_col1\" class=\"data row5 col1\" >-1.233448</td>\n",
       "                        <td id=\"T_823eb_row5_col2\" class=\"data row5 col2\" >0.248875</td>\n",
       "                        <td id=\"T_823eb_row5_col3\" class=\"data row5 col3\" >-63.433700</td>\n",
       "                        <td id=\"T_823eb_row5_col4\" class=\"data row5 col4\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_823eb_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_823eb_row6_col0\" class=\"data row6 col0\" >cons.price.idx</td>\n",
       "                        <td id=\"T_823eb_row6_col1\" class=\"data row6 col1\" >93.354386</td>\n",
       "                        <td id=\"T_823eb_row6_col2\" class=\"data row6 col2\" >93.603757</td>\n",
       "                        <td id=\"T_823eb_row6_col3\" class=\"data row6 col3\" >-27.903200</td>\n",
       "                        <td id=\"T_823eb_row6_col4\" class=\"data row6 col4\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_823eb_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_823eb_row7_col0\" class=\"data row7 col0\" >cons.conf.idx</td>\n",
       "                        <td id=\"T_823eb_row7_col1\" class=\"data row7 col1\" >-39.789784</td>\n",
       "                        <td id=\"T_823eb_row7_col2\" class=\"data row7 col2\" >-40.593097</td>\n",
       "                        <td id=\"T_823eb_row7_col3\" class=\"data row7 col3\" >11.153900</td>\n",
       "                        <td id=\"T_823eb_row7_col4\" class=\"data row7 col4\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_823eb_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_823eb_row8_col0\" class=\"data row8 col0\" >euribor3m</td>\n",
       "                        <td id=\"T_823eb_row8_col1\" class=\"data row8 col1\" >2.123135</td>\n",
       "                        <td id=\"T_823eb_row8_col2\" class=\"data row8 col2\" >3.811491</td>\n",
       "                        <td id=\"T_823eb_row8_col3\" class=\"data row8 col3\" >-65.646600</td>\n",
       "                        <td id=\"T_823eb_row8_col4\" class=\"data row8 col4\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_823eb_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_823eb_row9_col0\" class=\"data row9 col0\" >nr.employed</td>\n",
       "                        <td id=\"T_823eb_row9_col1\" class=\"data row9 col1\" >5095.115991</td>\n",
       "                        <td id=\"T_823eb_row9_col2\" class=\"data row9 col2\" >5176.166600</td>\n",
       "                        <td id=\"T_823eb_row9_col3\" class=\"data row9 col3\" >-76.984500</td>\n",
       "                        <td id=\"T_823eb_row9_col4\" class=\"data row9 col4\" >0.000000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2a0d8a532e0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.stats import ttest_ind #Вычисляет T-критерий для средних значений ДВУХ НЕЗАВИСИМЫХ выборок оценок\n",
    "\n",
    "def test_means(data, col):\n",
    "    yes_mask = data[\"y\"] ==\"yes\"\n",
    "    values_yes = data[col][yes_mask]\n",
    "    values_no = data[col][~yes_mask]\n",
    "    mean_yes = values_yes.mean()\n",
    "    mean_no = values_no.mean()\n",
    "    \n",
    "    ttest_res = ttest_ind(values_yes, values_no)\n",
    "    \n",
    "    return [col, mean_yes, mean_no, round(ttest_res[0], 4), round(ttest_res[1], 4)] #Округление\n",
    "\n",
    "test_df = pd.DataFrame(columns=[\"column\", \"mean yes\", \"mean no\", \"ttest stat\", \"ttest pval\"]) #Таблица\n",
    "\n",
    "for index, col in enumerate(numerical_features):\n",
    "    test_df.loc[index] = test_means(bank, col)\n",
    "    \n",
    "test_df\n",
    "\n",
    "cm = sns.light_palette(\"purple\", as_cmap=True) #Палитра\n",
    "test_df.style.background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82475f22",
   "metadata": {},
   "source": [
    "Проверка гипотезы о различии распределений числовых признаков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c4faa3c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_439c0_row0_col1{\n",
       "            background-color:  #f3eff0;\n",
       "            color:  #000000;\n",
       "        }#T_439c0_row0_col2,#T_439c0_row1_col2,#T_439c0_row2_col1,#T_439c0_row2_col2,#T_439c0_row3_col2,#T_439c0_row4_col2,#T_439c0_row5_col2,#T_439c0_row6_col2,#T_439c0_row7_col2,#T_439c0_row8_col2,#T_439c0_row9_col2{\n",
       "            background-color:  #f3f0f0;\n",
       "            color:  #000000;\n",
       "        }#T_439c0_row1_col1{\n",
       "            background-color:  #ffc0cb;\n",
       "            color:  #000000;\n",
       "        }#T_439c0_row3_col1{\n",
       "            background-color:  #f6e2e5;\n",
       "            color:  #000000;\n",
       "        }#T_439c0_row4_col1{\n",
       "            background-color:  #f7e0e4;\n",
       "            color:  #000000;\n",
       "        }#T_439c0_row5_col1,#T_439c0_row8_col1,#T_439c0_row9_col1{\n",
       "            background-color:  #fec4ce;\n",
       "            color:  #000000;\n",
       "        }#T_439c0_row6_col1{\n",
       "            background-color:  #f8dee2;\n",
       "            color:  #000000;\n",
       "        }#T_439c0_row7_col1{\n",
       "            background-color:  #f7e1e5;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_439c0_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >column</th>        <th class=\"col_heading level0 col1\" >ks stat</th>        <th class=\"col_heading level0 col2\" >ks pval</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_439c0_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_439c0_row0_col0\" class=\"data row0 col0\" >age</td>\n",
       "                        <td id=\"T_439c0_row0_col1\" class=\"data row0 col1\" >0.086100</td>\n",
       "                        <td id=\"T_439c0_row0_col2\" class=\"data row0 col2\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_439c0_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_439c0_row1_col0\" class=\"data row1 col0\" >duration</td>\n",
       "                        <td id=\"T_439c0_row1_col1\" class=\"data row1 col1\" >0.464100</td>\n",
       "                        <td id=\"T_439c0_row1_col2\" class=\"data row1 col2\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_439c0_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_439c0_row2_col0\" class=\"data row2 col0\" >campaign</td>\n",
       "                        <td id=\"T_439c0_row2_col1\" class=\"data row2 col1\" >0.080800</td>\n",
       "                        <td id=\"T_439c0_row2_col2\" class=\"data row2 col2\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_439c0_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_439c0_row3_col0\" class=\"data row3 col0\" >pdays</td>\n",
       "                        <td id=\"T_439c0_row3_col1\" class=\"data row3 col1\" >0.193400</td>\n",
       "                        <td id=\"T_439c0_row3_col2\" class=\"data row3 col2\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_439c0_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_439c0_row4_col0\" class=\"data row4 col0\" >previous</td>\n",
       "                        <td id=\"T_439c0_row4_col1\" class=\"data row4 col1\" >0.210200</td>\n",
       "                        <td id=\"T_439c0_row4_col2\" class=\"data row4 col2\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_439c0_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_439c0_row5_col0\" class=\"data row5 col0\" >emp.var.rate</td>\n",
       "                        <td id=\"T_439c0_row5_col1\" class=\"data row5 col1\" >0.432400</td>\n",
       "                        <td id=\"T_439c0_row5_col2\" class=\"data row5 col2\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_439c0_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_439c0_row6_col0\" class=\"data row6 col0\" >cons.price.idx</td>\n",
       "                        <td id=\"T_439c0_row6_col1\" class=\"data row6 col1\" >0.228100</td>\n",
       "                        <td id=\"T_439c0_row6_col2\" class=\"data row6 col2\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_439c0_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_439c0_row7_col0\" class=\"data row7 col0\" >cons.conf.idx</td>\n",
       "                        <td id=\"T_439c0_row7_col1\" class=\"data row7 col1\" >0.199800</td>\n",
       "                        <td id=\"T_439c0_row7_col2\" class=\"data row7 col2\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_439c0_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_439c0_row8_col0\" class=\"data row8 col0\" >euribor3m</td>\n",
       "                        <td id=\"T_439c0_row8_col1\" class=\"data row8 col1\" >0.432600</td>\n",
       "                        <td id=\"T_439c0_row8_col2\" class=\"data row8 col2\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_439c0_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_439c0_row9_col0\" class=\"data row9 col0\" >nr.employed</td>\n",
       "                        <td id=\"T_439c0_row9_col1\" class=\"data row9 col1\" >0.432400</td>\n",
       "                        <td id=\"T_439c0_row9_col2\" class=\"data row9 col2\" >0.000000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2a0d9956d00>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.stats import ks_2samp #( данные1 , данные2 , альтернатива = «двусторонний» , режим = «авто» ) \n",
    "#Сравнивает базовые непрерывные распределения F(x) и G(x) двух независимых выборок.\n",
    "def test_ks(data, col):\n",
    "    yes_mask = data[\"y\"] == \"yes\"\n",
    "    values_yes = data[col][yes_mask]\n",
    "    values_no = data[col][~yes_mask]\n",
    "    \n",
    "    kstest_res = ks_2samp(values_yes, values_no) #Функция для вычисления p-значения теста KS, дополнительно выполняющая коррекцию на эффективный размер выборки.\n",
    "    return [col, round(kstest_res[0], 4), round(kstest_res[1], 4)] #Округление\n",
    "\n",
    "test_df = pd.DataFrame(columns=[\"column\", \"ks stat\", \"ks pval\"]) #Таблица\n",
    "\n",
    "for index, col in enumerate(numerical_features):\n",
    "    test_df.loc[index] = test_ks(bank, col)\n",
    "    \n",
    "test_df\n",
    "cm = sns.light_palette(\"pink\", as_cmap=True) #Палитра\n",
    "test_df.style.background_gradient(cmap=cm)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f34c58cb",
   "metadata": {},
   "source": [
    "Создание массивов, содержащих кампании и финансовые столбцы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "15d78cd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "campaign_columns = [\"age\", \"duration\", \"campaign\", \"previous\"]\n",
    "financial_columns = [\"emp.var.rate\", \"cons.price.idx\", \\\n",
    "                     \"cons.conf.idx\", \"euribor3m\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "15c196c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x2a0d98e91c0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 720x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 773.25x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#создание парного графика между столбцами кампании\n",
    "plot_data = bank[campaign_columns + [\"y\"]] #Данные\n",
    "plt.figure(figsize=(10,10)) #Размер\n",
    "sns.pairplot(plot_data, hue=\"y\", palette=\"twilight\") #Палитра"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6fc60158",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x2a0d8dd96a0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 720x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 773.25x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#создание парного графика между финансовыми функциями\n",
    "plot_data = bank[financial_columns + [\"y\"]] #Данные\n",
    "plt.figure(figsize=(10,10)) #Размер\n",
    "sns.pairplot(plot_data, hue=\"y\", palette=\"twilight\") #Палитра"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ee63b95",
   "metadata": {},
   "source": [
    "Анализ корреляции между различными числовыми характеристиками"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "bedf0637",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            background-color:  #58278b;\n",
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       "        }#T_74ded_row5_col2{\n",
       "            background-color:  #6e91c0;\n",
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       "        }#T_74ded_row5_col3{\n",
       "            background-color:  #5d3b9f;\n",
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       "            background-color:  #ad4e51;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_74ded_row5_col7{\n",
       "            background-color:  #561546;\n",
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       "            background-color:  #6b8cbf;\n",
       "            color:  #000000;\n",
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       "            background-color:  #5a2b90;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_74ded_row6_col4{\n",
       "            background-color:  #ded9e1;\n",
       "            color:  #000000;\n",
       "        }#T_74ded_row6_col7{\n",
       "            background-color:  #6f93c0;\n",
       "            color:  #000000;\n",
       "        }#T_74ded_row7_col1{\n",
       "            background-color:  #5f174a;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_74ded_row7_col2{\n",
       "            background-color:  #5f61b4;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_74ded_row7_col4{\n",
       "            background-color:  #d9c9c2;\n",
       "            color:  #000000;\n",
       "        }#T_74ded_row7_col5{\n",
       "            background-color:  #491341;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_74ded_row7_col6{\n",
       "            background-color:  #81a6c3;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_74ded_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >age</th>        <th class=\"col_heading level0 col1\" >duration</th>        <th class=\"col_heading level0 col2\" >campaign</th>        <th class=\"col_heading level0 col3\" >previous</th>        <th class=\"col_heading level0 col4\" >emp.var.rate</th>        <th class=\"col_heading level0 col5\" >cons.price.idx</th>        <th class=\"col_heading level0 col6\" >cons.conf.idx</th>        <th class=\"col_heading level0 col7\" >euribor3m</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_74ded_level0_row0\" class=\"row_heading level0 row0\" >age</th>\n",
       "                        <td id=\"T_74ded_row0_col0\" class=\"data row0 col0\" >1.00</td>\n",
       "                        <td id=\"T_74ded_row0_col1\" class=\"data row0 col1\" >-0.06</td>\n",
       "                        <td id=\"T_74ded_row0_col2\" class=\"data row0 col2\" >-0.01</td>\n",
       "                        <td id=\"T_74ded_row0_col3\" class=\"data row0 col3\" >0.07</td>\n",
       "                        <td id=\"T_74ded_row0_col4\" class=\"data row0 col4\" >-0.08</td>\n",
       "                        <td id=\"T_74ded_row0_col5\" class=\"data row0 col5\" >-0.02</td>\n",
       "                        <td id=\"T_74ded_row0_col6\" class=\"data row0 col6\" >0.14</td>\n",
       "                        <td id=\"T_74ded_row0_col7\" class=\"data row0 col7\" >-0.09</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_74ded_level0_row1\" class=\"row_heading level0 row1\" >duration</th>\n",
       "                        <td id=\"T_74ded_row1_col0\" class=\"data row1 col0\" >-0.06</td>\n",
       "                        <td id=\"T_74ded_row1_col1\" class=\"data row1 col1\" >1.00</td>\n",
       "                        <td id=\"T_74ded_row1_col2\" class=\"data row1 col2\" >0.16</td>\n",
       "                        <td id=\"T_74ded_row1_col3\" class=\"data row1 col3\" >-0.23</td>\n",
       "                        <td id=\"T_74ded_row1_col4\" class=\"data row1 col4\" >0.50</td>\n",
       "                        <td id=\"T_74ded_row1_col5\" class=\"data row1 col5\" >0.24</td>\n",
       "                        <td id=\"T_74ded_row1_col6\" class=\"data row1 col6\" >-0.14</td>\n",
       "                        <td id=\"T_74ded_row1_col7\" class=\"data row1 col7\" >0.50</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_74ded_level0_row2\" class=\"row_heading level0 row2\" >campaign</th>\n",
       "                        <td id=\"T_74ded_row2_col0\" class=\"data row2 col0\" >-0.01</td>\n",
       "                        <td id=\"T_74ded_row2_col1\" class=\"data row2 col1\" >0.16</td>\n",
       "                        <td id=\"T_74ded_row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
       "                        <td id=\"T_74ded_row2_col3\" class=\"data row2 col3\" >-0.10</td>\n",
       "                        <td id=\"T_74ded_row2_col4\" class=\"data row2 col4\" >0.22</td>\n",
       "                        <td id=\"T_74ded_row2_col5\" class=\"data row2 col5\" >0.12</td>\n",
       "                        <td id=\"T_74ded_row2_col6\" class=\"data row2 col6\" >-0.04</td>\n",
       "                        <td id=\"T_74ded_row2_col7\" class=\"data row2 col7\" >0.21</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_74ded_level0_row3\" class=\"row_heading level0 row3\" >previous</th>\n",
       "                        <td id=\"T_74ded_row3_col0\" class=\"data row3 col0\" >0.07</td>\n",
       "                        <td id=\"T_74ded_row3_col1\" class=\"data row3 col1\" >-0.23</td>\n",
       "                        <td id=\"T_74ded_row3_col2\" class=\"data row3 col2\" >-0.10</td>\n",
       "                        <td id=\"T_74ded_row3_col3\" class=\"data row3 col3\" >1.00</td>\n",
       "                        <td id=\"T_74ded_row3_col4\" class=\"data row3 col4\" >-0.28</td>\n",
       "                        <td id=\"T_74ded_row3_col5\" class=\"data row3 col5\" >0.09</td>\n",
       "                        <td id=\"T_74ded_row3_col6\" class=\"data row3 col6\" >0.13</td>\n",
       "                        <td id=\"T_74ded_row3_col7\" class=\"data row3 col7\" >-0.39</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_74ded_level0_row4\" class=\"row_heading level0 row4\" >emp.var.rate</th>\n",
       "                        <td id=\"T_74ded_row4_col0\" class=\"data row4 col0\" >-0.08</td>\n",
       "                        <td id=\"T_74ded_row4_col1\" class=\"data row4 col1\" >0.50</td>\n",
       "                        <td id=\"T_74ded_row4_col2\" class=\"data row4 col2\" >0.22</td>\n",
       "                        <td id=\"T_74ded_row4_col3\" class=\"data row4 col3\" >-0.28</td>\n",
       "                        <td id=\"T_74ded_row4_col4\" class=\"data row4 col4\" >1.00</td>\n",
       "                        <td id=\"T_74ded_row4_col5\" class=\"data row4 col5\" >0.66</td>\n",
       "                        <td id=\"T_74ded_row4_col6\" class=\"data row4 col6\" >-0.27</td>\n",
       "                        <td id=\"T_74ded_row4_col7\" class=\"data row4 col7\" >0.93</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_74ded_level0_row5\" class=\"row_heading level0 row5\" >cons.price.idx</th>\n",
       "                        <td id=\"T_74ded_row5_col0\" class=\"data row5 col0\" >-0.02</td>\n",
       "                        <td id=\"T_74ded_row5_col1\" class=\"data row5 col1\" >0.24</td>\n",
       "                        <td id=\"T_74ded_row5_col2\" class=\"data row5 col2\" >0.12</td>\n",
       "                        <td id=\"T_74ded_row5_col3\" class=\"data row5 col3\" >0.09</td>\n",
       "                        <td id=\"T_74ded_row5_col4\" class=\"data row5 col4\" >0.66</td>\n",
       "                        <td id=\"T_74ded_row5_col5\" class=\"data row5 col5\" >1.00</td>\n",
       "                        <td id=\"T_74ded_row5_col6\" class=\"data row5 col6\" >-0.33</td>\n",
       "                        <td id=\"T_74ded_row5_col7\" class=\"data row5 col7\" >0.41</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_74ded_level0_row6\" class=\"row_heading level0 row6\" >cons.conf.idx</th>\n",
       "                        <td id=\"T_74ded_row6_col0\" class=\"data row6 col0\" >0.14</td>\n",
       "                        <td id=\"T_74ded_row6_col1\" class=\"data row6 col1\" >-0.14</td>\n",
       "                        <td id=\"T_74ded_row6_col2\" class=\"data row6 col2\" >-0.04</td>\n",
       "                        <td id=\"T_74ded_row6_col3\" class=\"data row6 col3\" >0.13</td>\n",
       "                        <td id=\"T_74ded_row6_col4\" class=\"data row6 col4\" >-0.27</td>\n",
       "                        <td id=\"T_74ded_row6_col5\" class=\"data row6 col5\" >-0.33</td>\n",
       "                        <td id=\"T_74ded_row6_col6\" class=\"data row6 col6\" >1.00</td>\n",
       "                        <td id=\"T_74ded_row6_col7\" class=\"data row6 col7\" >-0.12</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_74ded_level0_row7\" class=\"row_heading level0 row7\" >euribor3m</th>\n",
       "                        <td id=\"T_74ded_row7_col0\" class=\"data row7 col0\" >-0.09</td>\n",
       "                        <td id=\"T_74ded_row7_col1\" class=\"data row7 col1\" >0.50</td>\n",
       "                        <td id=\"T_74ded_row7_col2\" class=\"data row7 col2\" >0.21</td>\n",
       "                        <td id=\"T_74ded_row7_col3\" class=\"data row7 col3\" >-0.39</td>\n",
       "                        <td id=\"T_74ded_row7_col4\" class=\"data row7 col4\" >0.93</td>\n",
       "                        <td id=\"T_74ded_row7_col5\" class=\"data row7 col5\" >0.41</td>\n",
       "                        <td id=\"T_74ded_row7_col6\" class=\"data row7 col6\" >-0.12</td>\n",
       "                        <td id=\"T_74ded_row7_col7\" class=\"data row7 col7\" >1.00</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2a0d92ed0d0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "successful_calls = bank.y == \"yes\"\n",
    "\n",
    "#построение матрицы корреляции для успешных вызовов\n",
    "plot_data = bank[campaign_columns + financial_columns][successful_calls] #Наносит на график данные, подобранные значения или остатки\n",
    "successful_corr = plot_data.corr() #Успешная корреляция -> Матрица\n",
    "successful_corr.style.background_gradient(cmap='twilight').set_precision(2) #Палитра"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1e10fd19",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        }</style><table id=\"T_f6942_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >age</th>        <th class=\"col_heading level0 col1\" >duration</th>        <th class=\"col_heading level0 col2\" >campaign</th>        <th class=\"col_heading level0 col3\" >previous</th>        <th class=\"col_heading level0 col4\" >emp.var.rate</th>        <th class=\"col_heading level0 col5\" >cons.price.idx</th>        <th class=\"col_heading level0 col6\" >cons.conf.idx</th>        <th class=\"col_heading level0 col7\" >euribor3m</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_f6942_level0_row0\" class=\"row_heading level0 row0\" >age</th>\n",
       "                        <td id=\"T_f6942_row0_col0\" class=\"data row0 col0\" >1.00</td>\n",
       "                        <td id=\"T_f6942_row0_col1\" class=\"data row0 col1\" >0.00</td>\n",
       "                        <td id=\"T_f6942_row0_col2\" class=\"data row0 col2\" >0.01</td>\n",
       "                        <td id=\"T_f6942_row0_col3\" class=\"data row0 col3\" >-0.00</td>\n",
       "                        <td id=\"T_f6942_row0_col4\" class=\"data row0 col4\" >0.03</td>\n",
       "                        <td id=\"T_f6942_row0_col5\" class=\"data row0 col5\" >0.01</td>\n",
       "                        <td id=\"T_f6942_row0_col6\" class=\"data row0 col6\" >0.12</td>\n",
       "                        <td id=\"T_f6942_row0_col7\" class=\"data row0 col7\" >0.04</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f6942_level0_row1\" class=\"row_heading level0 row1\" >duration</th>\n",
       "                        <td id=\"T_f6942_row1_col0\" class=\"data row1 col0\" >0.00</td>\n",
       "                        <td id=\"T_f6942_row1_col1\" class=\"data row1 col1\" >1.00</td>\n",
       "                        <td id=\"T_f6942_row1_col2\" class=\"data row1 col2\" >-0.08</td>\n",
       "                        <td id=\"T_f6942_row1_col3\" class=\"data row1 col3\" >-0.00</td>\n",
       "                        <td id=\"T_f6942_row1_col4\" class=\"data row1 col4\" >0.00</td>\n",
       "                        <td id=\"T_f6942_row1_col5\" class=\"data row1 col5\" >0.02</td>\n",
       "                        <td id=\"T_f6942_row1_col6\" class=\"data row1 col6\" >0.00</td>\n",
       "                        <td id=\"T_f6942_row1_col7\" class=\"data row1 col7\" >0.01</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f6942_level0_row2\" class=\"row_heading level0 row2\" >campaign</th>\n",
       "                        <td id=\"T_f6942_row2_col0\" class=\"data row2 col0\" >0.01</td>\n",
       "                        <td id=\"T_f6942_row2_col1\" class=\"data row2 col1\" >-0.08</td>\n",
       "                        <td id=\"T_f6942_row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
       "                        <td id=\"T_f6942_row2_col3\" class=\"data row2 col3\" >-0.07</td>\n",
       "                        <td id=\"T_f6942_row2_col4\" class=\"data row2 col4\" >0.13</td>\n",
       "                        <td id=\"T_f6942_row2_col5\" class=\"data row2 col5\" >0.12</td>\n",
       "                        <td id=\"T_f6942_row2_col6\" class=\"data row2 col6\" >-0.01</td>\n",
       "                        <td id=\"T_f6942_row2_col7\" class=\"data row2 col7\" >0.12</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f6942_level0_row3\" class=\"row_heading level0 row3\" >previous</th>\n",
       "                        <td id=\"T_f6942_row3_col0\" class=\"data row3 col0\" >-0.00</td>\n",
       "                        <td id=\"T_f6942_row3_col1\" class=\"data row3 col1\" >-0.00</td>\n",
       "                        <td id=\"T_f6942_row3_col2\" class=\"data row3 col2\" >-0.07</td>\n",
       "                        <td id=\"T_f6942_row3_col3\" class=\"data row3 col3\" >1.00</td>\n",
       "                        <td id=\"T_f6942_row3_col4\" class=\"data row3 col4\" >-0.42</td>\n",
       "                        <td id=\"T_f6942_row3_col5\" class=\"data row3 col5\" >-0.27</td>\n",
       "                        <td id=\"T_f6942_row3_col6\" class=\"data row3 col6\" >-0.14</td>\n",
       "                        <td id=\"T_f6942_row3_col7\" class=\"data row3 col7\" >-0.44</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f6942_level0_row4\" class=\"row_heading level0 row4\" >emp.var.rate</th>\n",
       "                        <td id=\"T_f6942_row4_col0\" class=\"data row4 col0\" >0.03</td>\n",
       "                        <td id=\"T_f6942_row4_col1\" class=\"data row4 col1\" >0.00</td>\n",
       "                        <td id=\"T_f6942_row4_col2\" class=\"data row4 col2\" >0.13</td>\n",
       "                        <td id=\"T_f6942_row4_col3\" class=\"data row4 col3\" >-0.42</td>\n",
       "                        <td id=\"T_f6942_row4_col4\" class=\"data row4 col4\" >1.00</td>\n",
       "                        <td id=\"T_f6942_row4_col5\" class=\"data row4 col5\" >0.80</td>\n",
       "                        <td id=\"T_f6942_row4_col6\" class=\"data row4 col6\" >0.32</td>\n",
       "                        <td id=\"T_f6942_row4_col7\" class=\"data row4 col7\" >0.98</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f6942_level0_row5\" class=\"row_heading level0 row5\" >cons.price.idx</th>\n",
       "                        <td id=\"T_f6942_row5_col0\" class=\"data row5 col0\" >0.01</td>\n",
       "                        <td id=\"T_f6942_row5_col1\" class=\"data row5 col1\" >0.02</td>\n",
       "                        <td id=\"T_f6942_row5_col2\" class=\"data row5 col2\" >0.12</td>\n",
       "                        <td id=\"T_f6942_row5_col3\" class=\"data row5 col3\" >-0.27</td>\n",
       "                        <td id=\"T_f6942_row5_col4\" class=\"data row5 col4\" >0.80</td>\n",
       "                        <td id=\"T_f6942_row5_col5\" class=\"data row5 col5\" >1.00</td>\n",
       "                        <td id=\"T_f6942_row5_col6\" class=\"data row5 col6\" >0.15</td>\n",
       "                        <td id=\"T_f6942_row5_col7\" class=\"data row5 col7\" >0.73</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f6942_level0_row6\" class=\"row_heading level0 row6\" >cons.conf.idx</th>\n",
       "                        <td id=\"T_f6942_row6_col0\" class=\"data row6 col0\" >0.12</td>\n",
       "                        <td id=\"T_f6942_row6_col1\" class=\"data row6 col1\" >0.00</td>\n",
       "                        <td id=\"T_f6942_row6_col2\" class=\"data row6 col2\" >-0.01</td>\n",
       "                        <td id=\"T_f6942_row6_col3\" class=\"data row6 col3\" >-0.14</td>\n",
       "                        <td id=\"T_f6942_row6_col4\" class=\"data row6 col4\" >0.32</td>\n",
       "                        <td id=\"T_f6942_row6_col5\" class=\"data row6 col5\" >0.15</td>\n",
       "                        <td id=\"T_f6942_row6_col6\" class=\"data row6 col6\" >1.00</td>\n",
       "                        <td id=\"T_f6942_row6_col7\" class=\"data row6 col7\" >0.39</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f6942_level0_row7\" class=\"row_heading level0 row7\" >euribor3m</th>\n",
       "                        <td id=\"T_f6942_row7_col0\" class=\"data row7 col0\" >0.04</td>\n",
       "                        <td id=\"T_f6942_row7_col1\" class=\"data row7 col1\" >0.01</td>\n",
       "                        <td id=\"T_f6942_row7_col2\" class=\"data row7 col2\" >0.12</td>\n",
       "                        <td id=\"T_f6942_row7_col3\" class=\"data row7 col3\" >-0.44</td>\n",
       "                        <td id=\"T_f6942_row7_col4\" class=\"data row7 col4\" >0.98</td>\n",
       "                        <td id=\"T_f6942_row7_col5\" class=\"data row7 col5\" >0.73</td>\n",
       "                        <td id=\"T_f6942_row7_col6\" class=\"data row7 col6\" >0.39</td>\n",
       "                        <td id=\"T_f6942_row7_col7\" class=\"data row7 col7\" >1.00</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2a0d9147b80>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#построение матрицы корреляции для неудачных вызовов\n",
    "plot_data = bank[campaign_columns + financial_columns][~successful_calls] #Данные\n",
    "unsuccessful_corr = plot_data.corr() #Неудачная корреляция -> Матрица\n",
    "unsuccessful_corr.style.background_gradient(cmap='twilight').set_precision(2) #Палитра"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d10d35c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            background-color:  #e2d8df;\n",
       "            color:  #000000;\n",
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       "            background-color:  #351140;\n",
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       "            background-color:  #381145;\n",
       "            color:  #f1f1f1;\n",
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       "            background-color:  #31123a;\n",
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       "            background-color:  #b2c6ce;\n",
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       "            background-color:  #331237;\n",
       "            color:  #f1f1f1;\n",
       "        }</style><table id=\"T_b6938_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >age</th>        <th class=\"col_heading level0 col1\" >duration</th>        <th class=\"col_heading level0 col2\" >campaign</th>        <th class=\"col_heading level0 col3\" >previous</th>        <th class=\"col_heading level0 col4\" >emp.var.rate</th>        <th class=\"col_heading level0 col5\" >cons.price.idx</th>        <th class=\"col_heading level0 col6\" >cons.conf.idx</th>        <th class=\"col_heading level0 col7\" >euribor3m</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_b6938_level0_row0\" class=\"row_heading level0 row0\" >age</th>\n",
       "                        <td id=\"T_b6938_row0_col0\" class=\"data row0 col0\" >0.00</td>\n",
       "                        <td id=\"T_b6938_row0_col1\" class=\"data row0 col1\" >-0.06</td>\n",
       "                        <td id=\"T_b6938_row0_col2\" class=\"data row0 col2\" >-0.02</td>\n",
       "                        <td id=\"T_b6938_row0_col3\" class=\"data row0 col3\" >0.08</td>\n",
       "                        <td id=\"T_b6938_row0_col4\" class=\"data row0 col4\" >-0.11</td>\n",
       "                        <td id=\"T_b6938_row0_col5\" class=\"data row0 col5\" >-0.04</td>\n",
       "                        <td id=\"T_b6938_row0_col6\" class=\"data row0 col6\" >0.02</td>\n",
       "                        <td id=\"T_b6938_row0_col7\" class=\"data row0 col7\" >-0.13</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b6938_level0_row1\" class=\"row_heading level0 row1\" >duration</th>\n",
       "                        <td id=\"T_b6938_row1_col0\" class=\"data row1 col0\" >-0.06</td>\n",
       "                        <td id=\"T_b6938_row1_col1\" class=\"data row1 col1\" >0.00</td>\n",
       "                        <td id=\"T_b6938_row1_col2\" class=\"data row1 col2\" >0.24</td>\n",
       "                        <td id=\"T_b6938_row1_col3\" class=\"data row1 col3\" >-0.23</td>\n",
       "                        <td id=\"T_b6938_row1_col4\" class=\"data row1 col4\" >0.50</td>\n",
       "                        <td id=\"T_b6938_row1_col5\" class=\"data row1 col5\" >0.22</td>\n",
       "                        <td id=\"T_b6938_row1_col6\" class=\"data row1 col6\" >-0.15</td>\n",
       "                        <td id=\"T_b6938_row1_col7\" class=\"data row1 col7\" >0.49</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b6938_level0_row2\" class=\"row_heading level0 row2\" >campaign</th>\n",
       "                        <td id=\"T_b6938_row2_col0\" class=\"data row2 col0\" >-0.02</td>\n",
       "                        <td id=\"T_b6938_row2_col1\" class=\"data row2 col1\" >0.24</td>\n",
       "                        <td id=\"T_b6938_row2_col2\" class=\"data row2 col2\" >0.00</td>\n",
       "                        <td id=\"T_b6938_row2_col3\" class=\"data row2 col3\" >-0.04</td>\n",
       "                        <td id=\"T_b6938_row2_col4\" class=\"data row2 col4\" >0.09</td>\n",
       "                        <td id=\"T_b6938_row2_col5\" class=\"data row2 col5\" >-0.01</td>\n",
       "                        <td id=\"T_b6938_row2_col6\" class=\"data row2 col6\" >-0.04</td>\n",
       "                        <td id=\"T_b6938_row2_col7\" class=\"data row2 col7\" >0.10</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b6938_level0_row3\" class=\"row_heading level0 row3\" >previous</th>\n",
       "                        <td id=\"T_b6938_row3_col0\" class=\"data row3 col0\" >0.08</td>\n",
       "                        <td id=\"T_b6938_row3_col1\" class=\"data row3 col1\" >-0.23</td>\n",
       "                        <td id=\"T_b6938_row3_col2\" class=\"data row3 col2\" >-0.04</td>\n",
       "                        <td id=\"T_b6938_row3_col3\" class=\"data row3 col3\" >0.00</td>\n",
       "                        <td id=\"T_b6938_row3_col4\" class=\"data row3 col4\" >0.14</td>\n",
       "                        <td id=\"T_b6938_row3_col5\" class=\"data row3 col5\" >0.36</td>\n",
       "                        <td id=\"T_b6938_row3_col6\" class=\"data row3 col6\" >0.27</td>\n",
       "                        <td id=\"T_b6938_row3_col7\" class=\"data row3 col7\" >0.05</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b6938_level0_row4\" class=\"row_heading level0 row4\" >emp.var.rate</th>\n",
       "                        <td id=\"T_b6938_row4_col0\" class=\"data row4 col0\" >-0.11</td>\n",
       "                        <td id=\"T_b6938_row4_col1\" class=\"data row4 col1\" >0.50</td>\n",
       "                        <td id=\"T_b6938_row4_col2\" class=\"data row4 col2\" >0.09</td>\n",
       "                        <td id=\"T_b6938_row4_col3\" class=\"data row4 col3\" >0.14</td>\n",
       "                        <td id=\"T_b6938_row4_col4\" class=\"data row4 col4\" >0.00</td>\n",
       "                        <td id=\"T_b6938_row4_col5\" class=\"data row4 col5\" >-0.14</td>\n",
       "                        <td id=\"T_b6938_row4_col6\" class=\"data row4 col6\" >-0.59</td>\n",
       "                        <td id=\"T_b6938_row4_col7\" class=\"data row4 col7\" >-0.05</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b6938_level0_row5\" class=\"row_heading level0 row5\" >cons.price.idx</th>\n",
       "                        <td id=\"T_b6938_row5_col0\" class=\"data row5 col0\" >-0.04</td>\n",
       "                        <td id=\"T_b6938_row5_col1\" class=\"data row5 col1\" >0.22</td>\n",
       "                        <td id=\"T_b6938_row5_col2\" class=\"data row5 col2\" >-0.01</td>\n",
       "                        <td id=\"T_b6938_row5_col3\" class=\"data row5 col3\" >0.36</td>\n",
       "                        <td id=\"T_b6938_row5_col4\" class=\"data row5 col4\" >-0.14</td>\n",
       "                        <td id=\"T_b6938_row5_col5\" class=\"data row5 col5\" >0.00</td>\n",
       "                        <td id=\"T_b6938_row5_col6\" class=\"data row5 col6\" >-0.48</td>\n",
       "                        <td id=\"T_b6938_row5_col7\" class=\"data row5 col7\" >-0.32</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b6938_level0_row6\" class=\"row_heading level0 row6\" >cons.conf.idx</th>\n",
       "                        <td id=\"T_b6938_row6_col0\" class=\"data row6 col0\" >0.02</td>\n",
       "                        <td id=\"T_b6938_row6_col1\" class=\"data row6 col1\" >-0.15</td>\n",
       "                        <td id=\"T_b6938_row6_col2\" class=\"data row6 col2\" >-0.04</td>\n",
       "                        <td id=\"T_b6938_row6_col3\" class=\"data row6 col3\" >0.27</td>\n",
       "                        <td id=\"T_b6938_row6_col4\" class=\"data row6 col4\" >-0.59</td>\n",
       "                        <td id=\"T_b6938_row6_col5\" class=\"data row6 col5\" >-0.48</td>\n",
       "                        <td id=\"T_b6938_row6_col6\" class=\"data row6 col6\" >0.00</td>\n",
       "                        <td id=\"T_b6938_row6_col7\" class=\"data row6 col7\" >-0.51</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b6938_level0_row7\" class=\"row_heading level0 row7\" >euribor3m</th>\n",
       "                        <td id=\"T_b6938_row7_col0\" class=\"data row7 col0\" >-0.13</td>\n",
       "                        <td id=\"T_b6938_row7_col1\" class=\"data row7 col1\" >0.49</td>\n",
       "                        <td id=\"T_b6938_row7_col2\" class=\"data row7 col2\" >0.10</td>\n",
       "                        <td id=\"T_b6938_row7_col3\" class=\"data row7 col3\" >0.05</td>\n",
       "                        <td id=\"T_b6938_row7_col4\" class=\"data row7 col4\" >-0.05</td>\n",
       "                        <td id=\"T_b6938_row7_col5\" class=\"data row7 col5\" >-0.32</td>\n",
       "                        <td id=\"T_b6938_row7_col6\" class=\"data row7 col6\" >-0.51</td>\n",
       "                        <td id=\"T_b6938_row7_col7\" class=\"data row7 col7\" >0.00</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2a0d917bbb0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "    #разница в графике успешных и неудачных матриц корреляции\n",
    "\n",
    "diff_corr = successful_corr - unsuccessful_corr #Функция разницы\n",
    "diff_corr.style.background_gradient(cmap='twilight').set_precision(2) #Палитра"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7945b7a",
   "metadata": {},
   "source": [
    "Линейная регрессия"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d189139b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:          cons.conf.idx   R-squared:                       0.177\n",
      "Model:                            OLS   Adj. R-squared:                  0.177\n",
      "Method:                 Least Squares   F-statistic:                     2960.\n",
      "Date:                Mon, 20 Jun 2022   Prob (F-statistic):               0.00\n",
      "Time:                        21:02:04   Log-Likelihood:            -1.1753e+05\n",
      "No. Observations:               41188   AIC:                         2.351e+05\n",
      "Df Residuals:                   41184   BIC:                         2.351e+05\n",
      "Df Model:                           3                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==================================================================================\n",
      "                     coef    std err          t      P>|t|      [0.025      0.975]\n",
      "----------------------------------------------------------------------------------\n",
      "const            -82.4025      5.999    -13.736      0.000     -94.161     -70.644\n",
      "emp.var.rate      -4.1814      0.072    -57.960      0.000      -4.323      -4.040\n",
      "cons.price.idx     0.2828      0.063      4.478      0.000       0.159       0.407\n",
      "euribor3m          4.3582      0.057     76.618      0.000       4.247       4.470\n",
      "==============================================================================\n",
      "Omnibus:                     3246.559   Durbin-Watson:                   0.001\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             4034.493\n",
      "Skew:                           0.761   Prob(JB):                         0.00\n",
      "Kurtosis:                       2.811   Cond. No.                     2.72e+04\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 2.72e+04. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "import statsmodels.api as sm #Импорт модели из statsmodel\n",
    "\n",
    "X = bank[[\"emp.var.rate\", \"cons.price.idx\", \"euribor3m\"]] #Переменные\n",
    "X = sm.add_constant(X)\n",
    "y = bank[\"cons.conf.idx\"]\n",
    "\n",
    "linear_regression_model = sm.OLS(y, X) #функция наименьших квадратов\n",
    "result = linear_regression_model.fit()\n",
    "print(result.summary()) #Выводим в формате резюме"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "339df0b2",
   "metadata": {},
   "source": [
    "Логистическая регрессия"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5f168a55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.269969\n",
      "         Iterations 7\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                41188\n",
      "Model:                          Logit   Df Residuals:                    41183\n",
      "Method:                           MLE   Df Model:                            4\n",
      "Date:                Mon, 20 Jun 2022   Pseudo R-squ.:                  0.2331\n",
      "Time:                        21:02:04   Log-Likelihood:                -11119.\n",
      "converged:                       True   LL-Null:                       -14499.\n",
      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const         -3.7793      0.076    -49.435      0.000      -3.929      -3.629\n",
      "age            0.0091      0.002      5.665      0.000       0.006       0.012\n",
      "duration       0.0039   6.16e-05     62.973      0.000       0.004       0.004\n",
      "campaign      -0.1163      0.011    -10.706      0.000      -0.138      -0.095\n",
      "previous       1.0579      0.027     39.232      0.000       1.005       1.111\n",
      "==============================================================================\n"
     ]
    }
   ],
   "source": [
    "X = bank[[\"age\", \"duration\", \"campaign\", \"previous\"]] #Переменные\n",
    "X = sm.add_constant(X)\n",
    "y = np.where(bank[\"y\"] == \"yes\", 1, 0)\n",
    "\n",
    "logistic_regression_model = sm.Logit(y, X) #логистическая регрессия\n",
    "result = logistic_regression_model.fit()\n",
    "print(result.summary()) #Выводим в формате резюме"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4af7bf18",
   "metadata": {},
   "source": [
    "Логистическая регрессия на полных данных маркетинговой кампании"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8844b7ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['const', 'age', 'duration', 'campaign', 'pdays', 'previous',\n",
      "       'emp.var.rate', 'cons.price.idx', 'cons.conf.idx', 'euribor3m',\n",
      "       'nr.employed', 'job_admin.', 'job_blue-collar', 'job_entrepreneur',\n",
      "       'job_housemaid', 'job_management', 'job_retired', 'job_self-employed',\n",
      "       'job_services', 'job_student', 'job_technician', 'job_unemployed',\n",
      "       'job_unknown', 'marital_divorced', 'marital_married', 'marital_single',\n",
      "       'marital_unknown', 'education_basic.4y', 'education_basic.6y',\n",
      "       'education_basic.9y', 'education_high.school', 'education_illiterate',\n",
      "       'education_professional.course', 'education_university.degree',\n",
      "       'education_unknown', 'default_no', 'default_unknown', 'default_yes',\n",
      "       'housing_no', 'housing_unknown', 'housing_yes', 'loan_no',\n",
      "       'loan_unknown', 'loan_yes', 'contact_cellular', 'contact_telephone',\n",
      "       'month_apr', 'month_aug', 'month_dec', 'month_jul', 'month_jun',\n",
      "       'month_mar', 'month_may', 'month_nov', 'month_oct', 'month_sep',\n",
      "       'day_of_week_fri', 'day_of_week_mon', 'day_of_week_thu',\n",
      "       'day_of_week_tue', 'day_of_week_wed', 'poutcome_failure',\n",
      "       'poutcome_nonexistent', 'poutcome_success'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "#преобразование всех признаков в числовые значения\n",
    "\n",
    "X = bank.drop(\"y\", axis=1)\n",
    "X = pd.get_dummies(X)\n",
    "X = sm.add_constant(X)\n",
    "print(X.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "35fc0a12",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.207316\n",
      "         Iterations 113\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                41188\n",
      "Model:                          Logit   Df Residuals:                    41135\n",
      "Method:                           MLE   Df Model:                           52\n",
      "Date:                Mon, 20 Jun 2022   Pseudo R-squ.:                  0.4111\n",
      "Time:                        21:02:08   Log-Likelihood:                -8538.9\n",
      "converged:                       True   LL-Null:                       -14499.\n",
      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
      "=================================================================================================\n",
      "                                    coef    std err          z      P>|z|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------------------------\n",
      "const                           -83.1000    8.9e+05  -9.34e-05      1.000   -1.74e+06    1.74e+06\n",
      "age                               0.0002      0.002      0.081      0.936      -0.005       0.005\n",
      "duration                          0.0047   7.46e-05     63.108      0.000       0.005       0.005\n",
      "campaign                         -0.0401      0.012     -3.473      0.001      -0.063      -0.017\n",
      "pdays                            -0.0009      0.000     -4.326      0.000      -0.001      -0.001\n",
      "previous                         -0.0628      0.059     -1.062      0.288      -0.179       0.053\n",
      "emp.var.rate                     -1.7576      0.142    -12.380      0.000      -2.036      -1.479\n",
      "cons.price.idx                    2.1905      0.252      8.679      0.000       1.696       2.685\n",
      "cons.conf.idx                     0.0207      0.008      2.664      0.008       0.005       0.036\n",
      "euribor3m                         0.3316      0.130      2.551      0.011       0.077       0.586\n",
      "nr.employed                       0.0054      0.003      1.738      0.082      -0.001       0.012\n",
      "job_admin.                       -6.8387        nan        nan        nan         nan         nan\n",
      "job_blue-collar                  -7.0734        nan        nan        nan         nan         nan\n",
      "job_entrepreneur                 -7.0167        nan        nan        nan         nan         nan\n",
      "job_housemaid                    -6.8630        nan        nan        nan         nan         nan\n",
      "job_management                   -6.8948        nan        nan        nan         nan         nan\n",
      "job_retired                      -6.5529        nan        nan        nan         nan         nan\n",
      "job_self-employed                -6.9965        nan        nan        nan         nan         nan\n",
      "job_services                     -6.9785        nan        nan        nan         nan         nan\n",
      "job_student                      -6.6353        nan        nan        nan         nan         nan\n",
      "job_technician                   -6.8527        nan        nan        nan         nan         nan\n",
      "job_unemployed                   -6.8175        nan        nan        nan         nan         nan\n",
      "job_unknown                      -6.9092        nan        nan        nan         nan         nan\n",
      "marital_divorced                -20.6237        nan        nan        nan         nan         nan\n",
      "marital_married                 -20.6264        nan        nan        nan         nan         nan\n",
      "marital_single                  -20.5678        nan        nan        nan         nan         nan\n",
      "marital_unknown                 -20.5942        nan        nan        nan         nan         nan\n",
      "education_basic.4y              -10.5134        nan        nan        nan         nan         nan\n",
      "education_basic.6y              -10.3908        nan        nan        nan         nan         nan\n",
      "education_basic.9y              -10.5144        nan        nan        nan         nan         nan\n",
      "education_high.school           -10.4648        nan        nan        nan         nan         nan\n",
      "education_illiterate             -9.4468        nan        nan        nan         nan         nan\n",
      "education_professional.course   -10.3985        nan        nan        nan         nan         nan\n",
      "education_university.degree     -10.3176        nan        nan        nan         nan         nan\n",
      "education_unknown               -10.3637        nan        nan        nan         nan         nan\n",
      "default_no                       33.3790   6.79e+05   4.91e-05      1.000   -1.33e+06    1.33e+06\n",
      "default_unknown                  33.0787   6.98e+05   4.74e-05      1.000   -1.37e+06    1.37e+06\n",
      "default_yes                    -148.8634   1.83e+40  -8.14e-39      1.000   -3.58e+40    3.58e+40\n",
      "housing_no                      -27.4578    1.8e+06  -1.52e-05      1.000   -3.53e+06    3.53e+06\n",
      "housing_unknown                 -27.4945   1.32e+07  -2.08e-06      1.000   -2.59e+07    2.59e+07\n",
      "housing_yes                     -27.4626   1.87e+06  -1.47e-05      1.000   -3.67e+06    3.67e+06\n",
      "loan_no                         -27.4351        nan        nan        nan         nan         nan\n",
      "loan_unknown                    -27.4918   1.31e+07   -2.1e-06      1.000   -2.57e+07    2.57e+07\n",
      "loan_yes                        -27.4867        nan        nan        nan         nan         nan\n",
      "contact_cellular                -40.8818        nan        nan        nan         nan         nan\n",
      "contact_telephone               -41.5278        nan        nan        nan         nan         nan\n",
      "month_apr                        -8.5430   1.92e+06  -4.45e-06      1.000   -3.77e+06    3.77e+06\n",
      "month_aug                        -7.6777   1.93e+06  -3.98e-06      1.000   -3.78e+06    3.78e+06\n",
      "month_dec                        -8.2238   1.92e+06  -4.29e-06      1.000   -3.76e+06    3.76e+06\n",
      "month_jul                        -8.4084   1.93e+06  -4.36e-06      1.000   -3.78e+06    3.78e+06\n",
      "month_jun                        -9.0672   1.92e+06  -4.72e-06      1.000   -3.77e+06    3.77e+06\n",
      "month_mar                        -6.5288   1.91e+06  -3.41e-06      1.000   -3.75e+06    3.75e+06\n",
      "month_may                        -8.9868   1.92e+06  -4.67e-06      1.000   -3.77e+06    3.77e+06\n",
      "month_nov                        -8.9610   1.93e+06  -4.65e-06      1.000   -3.78e+06    3.78e+06\n",
      "month_oct                        -8.3490   1.94e+06   -4.3e-06      1.000   -3.81e+06    3.81e+06\n",
      "month_sep                        -8.1690   1.91e+06  -4.27e-06      1.000   -3.75e+06    3.75e+06\n",
      "day_of_week_fri                 -16.5724   1.18e+06   -1.4e-05      1.000   -2.32e+06    2.32e+06\n",
      "day_of_week_mon                 -16.6892   1.18e+06  -1.41e-05      1.000   -2.32e+06    2.32e+06\n",
      "day_of_week_thu                 -16.5164   1.18e+06   -1.4e-05      1.000   -2.32e+06    2.32e+06\n",
      "day_of_week_tue                 -16.4752   1.18e+06  -1.39e-05      1.000   -2.32e+06    2.32e+06\n",
      "day_of_week_wed                 -16.3971   1.18e+06  -1.39e-05      1.000   -2.32e+06    2.32e+06\n",
      "poutcome_failure                -28.0130   3.12e+05  -8.98e-05      1.000   -6.11e+05    6.11e+05\n",
      "poutcome_nonexistent            -27.5872   3.12e+05  -8.85e-05      1.000   -6.11e+05    6.11e+05\n",
      "poutcome_success                -27.0533   3.12e+05  -8.68e-05      1.000   -6.11e+05    6.11e+05\n",
      "=================================================================================================\n"
     ]
    }
   ],
   "source": [
    "y = np.where(bank[\"y\"] == \"yes\", 1 ,0) #выбор элементов из массива numpy с условием\n",
    "full_logistic_regression_model = sm.Logit(y, X) #Назначение переменной\n",
    "result = full_logistic_regression_model.fit(maxiter=500) #логистичекая регрессия на полных данных с макс 500\n",
    "print(result.summary()) #Выводим в формате резюме"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4a2b3e8",
   "metadata": {},
   "source": [
    "Создание более экономичной модели логистической регрессии"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "76360b20",
   "metadata": {},
   "outputs": [
    {
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       "        }</style><table id=\"T_545db_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >const</th>        <th class=\"col_heading level0 col1\" >duration</th>        <th class=\"col_heading level0 col2\" >campaign</th>        <th class=\"col_heading level0 col3\" >pdays</th>        <th class=\"col_heading level0 col4\" >emp.var.rate</th>        <th class=\"col_heading level0 col5\" >cons.price.idx</th>        <th class=\"col_heading level0 col6\" >cons.conf.idx</th>        <th class=\"col_heading level0 col7\" >euribor3m</th>    </tr></thead><tbody>\n",
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       "                        <td id=\"T_545db_row1_col2\" class=\"data row1 col2\" >1</td>\n",
       "                        <td id=\"T_545db_row1_col3\" class=\"data row1 col3\" >999</td>\n",
       "                        <td id=\"T_545db_row1_col4\" class=\"data row1 col4\" >1.100000</td>\n",
       "                        <td id=\"T_545db_row1_col5\" class=\"data row1 col5\" >93.994000</td>\n",
       "                        <td id=\"T_545db_row1_col6\" class=\"data row1 col6\" >-36.400000</td>\n",
       "                        <td id=\"T_545db_row1_col7\" class=\"data row1 col7\" >4.857000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_545db_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_545db_row2_col0\" class=\"data row2 col0\" >1.000000</td>\n",
       "                        <td id=\"T_545db_row2_col1\" class=\"data row2 col1\" >226</td>\n",
       "                        <td id=\"T_545db_row2_col2\" class=\"data row2 col2\" >1</td>\n",
       "                        <td id=\"T_545db_row2_col3\" class=\"data row2 col3\" >999</td>\n",
       "                        <td id=\"T_545db_row2_col4\" class=\"data row2 col4\" >1.100000</td>\n",
       "                        <td id=\"T_545db_row2_col5\" class=\"data row2 col5\" >93.994000</td>\n",
       "                        <td id=\"T_545db_row2_col6\" class=\"data row2 col6\" >-36.400000</td>\n",
       "                        <td id=\"T_545db_row2_col7\" class=\"data row2 col7\" >4.857000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_545db_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_545db_row3_col0\" class=\"data row3 col0\" >1.000000</td>\n",
       "                        <td id=\"T_545db_row3_col1\" class=\"data row3 col1\" >151</td>\n",
       "                        <td id=\"T_545db_row3_col2\" class=\"data row3 col2\" >1</td>\n",
       "                        <td id=\"T_545db_row3_col3\" class=\"data row3 col3\" >999</td>\n",
       "                        <td id=\"T_545db_row3_col4\" class=\"data row3 col4\" >1.100000</td>\n",
       "                        <td id=\"T_545db_row3_col5\" class=\"data row3 col5\" >93.994000</td>\n",
       "                        <td id=\"T_545db_row3_col6\" class=\"data row3 col6\" >-36.400000</td>\n",
       "                        <td id=\"T_545db_row3_col7\" class=\"data row3 col7\" >4.857000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_545db_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_545db_row4_col0\" class=\"data row4 col0\" >1.000000</td>\n",
       "                        <td id=\"T_545db_row4_col1\" class=\"data row4 col1\" >307</td>\n",
       "                        <td id=\"T_545db_row4_col2\" class=\"data row4 col2\" >1</td>\n",
       "                        <td id=\"T_545db_row4_col3\" class=\"data row4 col3\" >999</td>\n",
       "                        <td id=\"T_545db_row4_col4\" class=\"data row4 col4\" >1.100000</td>\n",
       "                        <td id=\"T_545db_row4_col5\" class=\"data row4 col5\" >93.994000</td>\n",
       "                        <td id=\"T_545db_row4_col6\" class=\"data row4 col6\" >-36.400000</td>\n",
       "                        <td id=\"T_545db_row4_col7\" class=\"data row4 col7\" >4.857000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x2a0d2d8aa60>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import statsmodels.api as sm #Импорт\n",
    "\n",
    "columns = [\"duration\", \"campaign\", \"pdays\", \"emp.var.rate\", \"cons.price.idx\", \"cons.conf.idx\", \"euribor3m\"] #Выбор данных\n",
    "X = bank[columns]\n",
    "X = sm.add_constant(X)\n",
    "X.head()\n",
    "\n",
    "cm = sns.light_palette(\"blue\", as_cmap=True) #Палитра\n",
    "X.head().style.background_gradient(cmap=cm) #Вывод"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "61790bd0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.220751\n",
      "         Iterations 8\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:                      y   No. Observations:                41188\n",
      "Model:                          Logit   Df Residuals:                    41180\n",
      "Method:                           MLE   Df Model:                            7\n",
      "Date:                Mon, 20 Jun 2022   Pseudo R-squ.:                  0.3729\n",
      "Time:                        21:02:08   Log-Likelihood:                -9092.3\n",
      "converged:                       True   LL-Null:                       -14499.\n",
      "Covariance Type:            nonrobust   LLR p-value:                     0.000\n",
      "==================================================================================\n",
      "                     coef    std err          z      P>|z|      [0.025      0.975]\n",
      "----------------------------------------------------------------------------------\n",
      "const            -90.4650      5.683    -15.919      0.000    -101.603     -79.327\n",
      "duration           0.0045   7.16e-05     63.562      0.000       0.004       0.005\n",
      "campaign          -0.0432      0.011     -3.800      0.000      -0.065      -0.021\n",
      "pdays             -0.0016   6.82e-05    -22.967      0.000      -0.002      -0.001\n",
      "emp.var.rate      -0.7114      0.066    -10.739      0.000      -0.841      -0.582\n",
      "cons.price.idx     0.9698      0.059     16.420      0.000       0.854       1.086\n",
      "cons.conf.idx      0.0513      0.004     13.143      0.000       0.044       0.059\n",
      "euribor3m         -0.1996      0.051     -3.950      0.000      -0.299      -0.101\n",
      "==================================================================================\n"
     ]
    }
   ],
   "source": [
    "y = np.where(bank[\"y\"] == \"yes\", 1, 0) #выбор элементов из массива numpy с условием\n",
    "logistic_regression_model = sm.Logit(y, X) #Назначение переменной\n",
    "result = logistic_regression_model.fit() #логистическая регрессия\n",
    "print(result.summary()) #Вывод в формате резюме"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16013901",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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