Root cause .ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import altair as alt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('C:/Users/Akhilesh/Downloads/BoC/dates.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>y</th>\n",
       "      <th>ds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>16438080.0</td>\n",
       "      <td>2017-04-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>20877600.0</td>\n",
       "      <td>2017-11-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>27717240.0</td>\n",
       "      <td>2017-12-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>40975588.8</td>\n",
       "      <td>2017-12-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>58789328.4</td>\n",
       "      <td>2018-01-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0           y          ds\n",
       "0           0  16438080.0  2017-04-12\n",
       "1           1  20877600.0  2017-11-12\n",
       "2           2  27717240.0  2017-12-18\n",
       "3           3  40975588.8  2017-12-25\n",
       "4           4  58789328.4  2018-01-01"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Office Supplies    0.602962\n",
       "Furniture          0.212227\n",
       "Technology         0.184811\n",
       "Name: Category, dtype: float64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Category'].value_counts() / len(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Binders        0.152391\n",
       "Paper          0.137082\n",
       "Furnishings    0.095757\n",
       "Phones         0.088953\n",
       "Storage        0.084651\n",
       "Art            0.079648\n",
       "Accessories    0.077547\n",
       "Chairs         0.061737\n",
       "Appliances     0.046628\n",
       "Labels         0.036422\n",
       "Tables         0.031919\n",
       "Envelopes      0.025415\n",
       "Bookcases      0.022814\n",
       "Fasteners      0.021713\n",
       "Supplies       0.019011\n",
       "Machines       0.011507\n",
       "Copiers        0.006804\n",
       "Name: Sub-Category, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Sub-Category'].value_counts() / len(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub = data[data[\"Category\"] == \"Office Supplies\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub = data[data[\"Sub-Category\"] == \"Binders\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1523 entries, 8 to 9979\n",
      "Data columns (total 21 columns):\n",
      "id               1523 non-null int64\n",
      "Order ID         1523 non-null object\n",
      "Order Date       1523 non-null object\n",
      "Ship Date        1523 non-null object\n",
      "Ship Mode        1523 non-null object\n",
      "Customer ID      1523 non-null object\n",
      "Customer Name    1523 non-null object\n",
      "Segment          1523 non-null object\n",
      "Country          1523 non-null object\n",
      "City             1523 non-null object\n",
      "State            1523 non-null object\n",
      "Postal Code      1523 non-null int64\n",
      "Region           1523 non-null object\n",
      "Product ID       1523 non-null object\n",
      "Category         1523 non-null object\n",
      "Sub-Category     1523 non-null object\n",
      "Product Name     1523 non-null object\n",
      "Sales            1523 non-null float64\n",
      "Quantity         1523 non-null int64\n",
      "Discount         1523 non-null float64\n",
      "Profit           1523 non-null float64\n",
      "dtypes: float64(3), int64(3), object(15)\n",
      "memory usage: 261.8+ KB\n"
     ]
    }
   ],
   "source": [
    "sub.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['id' 'Order ID' 'Order Date' 'Ship Date' 'Ship Mode' 'Customer ID'\n",
      " 'Customer Name' 'Segment' 'Country' 'City' 'State' 'Postal Code' 'Region'\n",
      " 'Product ID' 'Category' 'Sub-Category' 'Product Name' 'Sales' 'Quantity'\n",
      " 'Discount' 'Profit']\n"
     ]
    }
   ],
   "source": [
    "print(data.columns.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id: 9994 unique values\n",
      "Order ID: 5009 unique values\n",
      "Order Date: 1237 unique values\n",
      "Ship Date: 1334 unique values\n",
      "Ship Mode\n",
      "['Second Class' 'Standard Class' 'First Class' 'Same Day']\n",
      "Customer ID: 793 unique values\n",
      "Customer Name: 793 unique values\n",
      "Segment\n",
      "['Consumer' 'Corporate' 'Home Office']\n",
      "Country\n",
      "['United States']\n",
      "City: 531 unique values\n",
      "State: 49 unique values\n",
      "Postal Code: 631 unique values\n",
      "Region\n",
      "['South' 'West' 'Central' 'East']\n",
      "Product ID: 1862 unique values\n",
      "Category\n",
      "['Furniture' 'Office Supplies' 'Technology']\n",
      "Sub-Category\n",
      "['Bookcases' 'Chairs' 'Labels' 'Tables' 'Storage' 'Furnishings' 'Art'\n",
      " 'Phones' 'Binders' 'Appliances' 'Paper' 'Accessories' 'Envelopes'\n",
      " 'Fasteners' 'Supplies' 'Machines' 'Copiers']\n",
      "Product Name: 1850 unique values\n",
      "Sales: 5825 unique values\n",
      "Quantity\n",
      "[ 2  3  5  7  4  6  9  1  8 14 11 13 10 12]\n",
      "Discount\n",
      "[0.   0.45 0.2  0.8  0.3  0.5  0.7  0.6  0.32 0.1  0.4  0.15]\n",
      "Profit: 7287 unique values\n"
     ]
    }
   ],
   "source": [
    "for c in list(data.columns):\n",
    "    \n",
    "    # get a list of unique values\n",
    "    n = data[c].unique()\n",
    "    \n",
    "    # if number of unique values is less than 30, print the values. Otherwise print the number of unique values\n",
    "    if len(n)<30:\n",
    "        print(c)\n",
    "        print(n)\n",
    "    else:\n",
    "        print(c + ': ' +str(len(n)) + ' unique values')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "numeric_list=['Units Sold','Unit Price','Unit Cost','Total Revenue','Total Cost','Total Profit']\n",
    "numeric_features_corr = data[numeric_list].corr()\n",
    "plt.figure(figsize=(20,10))\n",
    "sns.heatmap(numeric_features_corr, annot=True, cmap='seismic')\n",
    "plt.xticks(rotation=90); plt.title('Heatmap of numerical feature correlation', size=14);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Ship Date</th>\n",
       "      <th>Ship Mode</th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Customer Name</th>\n",
       "      <th>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>...</th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Region</th>\n",
       "      <th>Product ID</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sub-Category</th>\n",
       "      <th>Product Name</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9989</th>\n",
       "      <td>9990</td>\n",
       "      <td>CA-2014-110422</td>\n",
       "      <td>21-01-2014</td>\n",
       "      <td>23-01-2014</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>TB-21400</td>\n",
       "      <td>Tom Boeckenhauer</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Miami</td>\n",
       "      <td>...</td>\n",
       "      <td>33180</td>\n",
       "      <td>South</td>\n",
       "      <td>FUR-FU-10001889</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Furnishings</td>\n",
       "      <td>Ultra Door Pull Handle</td>\n",
       "      <td>25.248</td>\n",
       "      <td>3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>4.1028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9990</th>\n",
       "      <td>9991</td>\n",
       "      <td>CA-2017-121258</td>\n",
       "      <td>26-02-2017</td>\n",
       "      <td>03-03-2017</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>DB-13060</td>\n",
       "      <td>Dave Brooks</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>...</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>FUR-FU-10000747</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Furnishings</td>\n",
       "      <td>Tenex B1-RE Series Chair Mats for Low Pile Car...</td>\n",
       "      <td>91.960</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.6332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9991</th>\n",
       "      <td>9992</td>\n",
       "      <td>CA-2017-121258</td>\n",
       "      <td>26-02-2017</td>\n",
       "      <td>03-03-2017</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>DB-13060</td>\n",
       "      <td>Dave Brooks</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>...</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>TEC-PH-10003645</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Phones</td>\n",
       "      <td>Aastra 57i VoIP phone</td>\n",
       "      <td>258.576</td>\n",
       "      <td>2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>19.3932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9992</th>\n",
       "      <td>9993</td>\n",
       "      <td>CA-2017-121258</td>\n",
       "      <td>26-02-2017</td>\n",
       "      <td>03-03-2017</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>DB-13060</td>\n",
       "      <td>Dave Brooks</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Costa Mesa</td>\n",
       "      <td>...</td>\n",
       "      <td>92627</td>\n",
       "      <td>West</td>\n",
       "      <td>OFF-PA-10004041</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Paper</td>\n",
       "      <td>It's Hot Message Books with Stickers, 2 3/4\" x 5\"</td>\n",
       "      <td>29.600</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.3200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9993</th>\n",
       "      <td>9994</td>\n",
       "      <td>CA-2017-119914</td>\n",
       "      <td>04-05-2017</td>\n",
       "      <td>09-05-2017</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>CC-12220</td>\n",
       "      <td>Chris Cortes</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Westminster</td>\n",
       "      <td>...</td>\n",
       "      <td>92683</td>\n",
       "      <td>West</td>\n",
       "      <td>OFF-AP-10002684</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Appliances</td>\n",
       "      <td>Acco 7-Outlet Masterpiece Power Center, Wihtou...</td>\n",
       "      <td>243.160</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>72.9480</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        id        Order ID  Order Date   Ship Date       Ship Mode  \\\n",
       "9989  9990  CA-2014-110422  21-01-2014  23-01-2014    Second Class   \n",
       "9990  9991  CA-2017-121258  26-02-2017  03-03-2017  Standard Class   \n",
       "9991  9992  CA-2017-121258  26-02-2017  03-03-2017  Standard Class   \n",
       "9992  9993  CA-2017-121258  26-02-2017  03-03-2017  Standard Class   \n",
       "9993  9994  CA-2017-119914  04-05-2017  09-05-2017    Second Class   \n",
       "\n",
       "     Customer ID     Customer Name   Segment        Country         City  ...  \\\n",
       "9989    TB-21400  Tom Boeckenhauer  Consumer  United States        Miami  ...   \n",
       "9990    DB-13060       Dave Brooks  Consumer  United States   Costa Mesa  ...   \n",
       "9991    DB-13060       Dave Brooks  Consumer  United States   Costa Mesa  ...   \n",
       "9992    DB-13060       Dave Brooks  Consumer  United States   Costa Mesa  ...   \n",
       "9993    CC-12220      Chris Cortes  Consumer  United States  Westminster  ...   \n",
       "\n",
       "     Postal Code  Region       Product ID         Category Sub-Category  \\\n",
       "9989       33180   South  FUR-FU-10001889        Furniture  Furnishings   \n",
       "9990       92627    West  FUR-FU-10000747        Furniture  Furnishings   \n",
       "9991       92627    West  TEC-PH-10003645       Technology       Phones   \n",
       "9992       92627    West  OFF-PA-10004041  Office Supplies        Paper   \n",
       "9993       92683    West  OFF-AP-10002684  Office Supplies   Appliances   \n",
       "\n",
       "                                           Product Name    Sales  Quantity  \\\n",
       "9989                             Ultra Door Pull Handle   25.248         3   \n",
       "9990  Tenex B1-RE Series Chair Mats for Low Pile Car...   91.960         2   \n",
       "9991                              Aastra 57i VoIP phone  258.576         2   \n",
       "9992  It's Hot Message Books with Stickers, 2 3/4\" x 5\"   29.600         4   \n",
       "9993  Acco 7-Outlet Masterpiece Power Center, Wihtou...  243.160         2   \n",
       "\n",
       "      Discount   Profit  \n",
       "9989       0.2   4.1028  \n",
       "9990       0.0  15.6332  \n",
       "9991       0.2  19.3932  \n",
       "9992       0.0  13.3200  \n",
       "9993       0.0  72.9480  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "col = ['Order Date','Sales']\n",
    "\n",
    "df = sub[col]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>y</th>\n",
       "      <th>ds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>27386400.0</td>\n",
       "      <td>2017-12-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>30356760.0</td>\n",
       "      <td>2017-12-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>19797480.0</td>\n",
       "      <td>2017-12-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>16438080.0</td>\n",
       "      <td>2017-12-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>14638200.0</td>\n",
       "      <td>2017-12-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0           y          ds\n",
       "0           0  27386400.0  2017-12-01\n",
       "1           1  30356760.0  2017-12-02\n",
       "2           2  19797480.0  2017-12-03\n",
       "3           3  16438080.0  2017-12-04\n",
       "4           4  14638200.0  2017-12-05"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub = sub.drop(['Unnamed: 0'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:fbprophet:Importing plotly failed. Interactive plots will not work.\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "from fbprophet import Prophet\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('fivethirtyeight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Akhilesh\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Order Date    datetime64[ns]\n",
       "Sales                float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['ODate'] = pd.DatetimeIndex(df['Order Date'])\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>y</th>\n",
       "      <th>ds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>13970984.4</td>\n",
       "      <td>2018-05-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>13138440.0</td>\n",
       "      <td>2018-08-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>27956880.0</td>\n",
       "      <td>2018-09-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>5279400.0</td>\n",
       "      <td>2018-12-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>16584460.8</td>\n",
       "      <td>2018-12-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0           y          ds\n",
       "17          17  13970984.4  2018-05-03\n",
       "18          18  13138440.0  2018-08-01\n",
       "19          19  27956880.0  2018-09-04\n",
       "20          20   5279400.0  2018-12-02\n",
       "21          21  16584460.8  2018-12-03"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sub = data[data['ds'] >= '2018-01-02']\n",
    "\n",
    "sub.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "No dataset named 'set_index'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-21-b7e76a1087bc>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'ds'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m12\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m8\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\vega_datasets\\core.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, dataset_name)\u001b[0m\n\u001b[0;32m    424\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mDataset\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_datasets\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mdataset_name\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    425\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 426\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"No dataset named '{0}'\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdataset_name\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    427\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    428\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__dir__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: No dataset named 'set_index'"
     ]
    }
   ],
   "source": [
    "ax = data.set_index('ds').plot(figsize=(12, 8))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_model = Prophet(interval_width=0.99,yearly_seasonality=True,weekly_seasonality=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "argument of type 'DataLoader' is not iterable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-23-17d6564f8cfe>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmy_model\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\Anaconda3\\lib\\site-packages\\fbprophet\\forecaster.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, df, **kwargs)\u001b[0m\n\u001b[0;32m   1045\u001b[0m             raise Exception('Prophet object can only be fit once. '\n\u001b[0;32m   1046\u001b[0m                             'Instantiate a new object.')\n\u001b[1;32m-> 1047\u001b[1;33m         \u001b[1;32mif\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;34m'ds'\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;34m'y'\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1048\u001b[0m             raise ValueError(\n\u001b[0;32m   1049\u001b[0m                 \u001b[1;34m\"Dataframe must have columns 'ds' and 'y' with the dates and \"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: argument of type 'DataLoader' is not iterable"
     ]
    }
   ],
   "source": [
    "my_model.fit(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1520</th>\n",
       "      <td>2017-12-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1521</th>\n",
       "      <td>2017-12-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1522</th>\n",
       "      <td>2017-12-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1523</th>\n",
       "      <td>2017-12-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524</th>\n",
       "      <td>2018-01-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ds\n",
       "1520 2017-12-30\n",
       "1521 2017-12-30\n",
       "1522 2017-12-30\n",
       "1523 2017-12-31\n",
       "1524 2018-01-01"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "future_dates = my_model.make_future_dataframe(periods=2, freq='D')\n",
    "future_dates.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>yhat</th>\n",
       "      <th>yhat_lower</th>\n",
       "      <th>yhat_upper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1520</th>\n",
       "      <td>2017-12-30</td>\n",
       "      <td>172.070308</td>\n",
       "      <td>-1145.803042</td>\n",
       "      <td>1681.837332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1521</th>\n",
       "      <td>2017-12-30</td>\n",
       "      <td>172.070308</td>\n",
       "      <td>-1198.113278</td>\n",
       "      <td>1568.328573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1522</th>\n",
       "      <td>2017-12-30</td>\n",
       "      <td>172.070308</td>\n",
       "      <td>-1350.069477</td>\n",
       "      <td>1563.763141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1523</th>\n",
       "      <td>2017-12-31</td>\n",
       "      <td>130.010744</td>\n",
       "      <td>-1346.899353</td>\n",
       "      <td>1555.060345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524</th>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>163.800699</td>\n",
       "      <td>-1373.328776</td>\n",
       "      <td>1505.819687</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ds        yhat   yhat_lower   yhat_upper\n",
       "1520 2017-12-30  172.070308 -1145.803042  1681.837332\n",
       "1521 2017-12-30  172.070308 -1198.113278  1568.328573\n",
       "1522 2017-12-30  172.070308 -1350.069477  1563.763141\n",
       "1523 2017-12-31  130.010744 -1346.899353  1555.060345\n",
       "1524 2018-01-01  163.800699 -1373.328776  1505.819687"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecast = my_model.predict(future_dates)\n",
    "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsgAAAGoCAYAAABbtxOxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nOzde3Bc5Z03+O+59JFali1LgI2MbSCRJ7ENBGOQyUSTCjAuk0zKmkocLpUNZiA1O+TdJYE3VWTfSVJF1ZvBzE48kyFsdtn1y4jZvPEWbBalZsDwDnkZIojpgLnaXAS2se63vnef+3n2j+f00ZHcsmTL1sX6fqqmMrS7W6efPuc83+f3POe0IoQQICIiIiIiAIA63xtARERERLSQMCATEREREcUwIBMRERERxTAgExERERHF6PO9AXMtl8vN9yYQERER0QLS0NAw4b9ZQSYiIiIiimFAJiIiIiKKYUA+A0NDQ/O9CQse22h6bKOZYTtNj200M2yn6bGNpsc2mpnF3k4MyEREREREMQzIREREREQxDMhERERERDEMyEREREREMQzIREREREQxDMhERERERDEMyEREREREMQzIREREREQxcxqQ77rrLqxatQpXXHFF9Fg6ncb27duxYcMGbN++HZlMBgAghMC9996LlpYWXHXVVTh06FD0mo6ODmzYsAEbNmxAR0dH9Pjrr7+OK6+8Ei0tLbj33nshhJi7D0dERERE54U5Dch33nknDhw4MOGxPXv24KabbkJ3dzduuukm7NmzBwDw7LPPoru7G93d3Xjsscdwzz33AJCB+sEHH8Srr76KVCqFBx98MArV99xzDx577LHodZP/FhERERHRdOY0IH/xi19EU1PThMc6Ozuxe/duAMDu3bvx9NNPR4/fcccdUBQF119/PbLZLAYGBvDcc89h+/btaGpqQmNjI7Zv344DBw5gYGAA+Xwen//856EoCu64447ovYiIiIiIZkqf7w0YGhpCc3MzAKC5uRnDw8MAgL6+Pqxbty563tq1a9HX13fKx9euXXvS49P97TORTqfP6HVLCdtoemyjmWE7TY9tNDNsp+mxjabHNpqZxdBOq1evnvLf5j0gT6Xa+mFFUU778VM5VcNMZzavXSrYRtNjG80M22l6bKOZYTtNj200PbbRzCzmdpr3u1isXr0aAwMDAICBgQGsWrUKgKwA9/T0RM/r7e3FmjVrTvl4b2/vSY8TERHR7KRSKezduxepVGq+N4VoTsx7QN65c2d0J4qOjg60t7dHjz/xxBMQQuDgwYNoaGhAc3MzduzYgeeffx6ZTAaZTAbPP/88duzYgebmZixfvhwHDx6EEAJPPPFE9F5ERER0ZlKpFNrb2/GTn/wE7e3tDMm0JMzpEovbb78dL774IkZHR7F27Vo8+OCD+MEPfoBbbrkF+/btw/r16/Hkk08CAL7yla/gmWeeQUtLC+rq6vD4448DAJqamvCjH/0I1113HQDgxz/+cXTh3y9+8QvceeedME0TX/7yl/HlL395Lj8eERHReaerqwuO48D3fTiOg66uLrS2ts73ZhGdU3MakH/1q19VffyFF1446TFFUfDoo49Wff5dd92Fu+6666THr732Wrz77ruz20giIiKKtLW1wTAMOI4DwzDQ1tY235tEdM4t2Iv0iIiIaP61trais7MTXV1daGtrY/WYlgQGZCIiIjql1tZWBmNaUub9Ij0iIiIiooWEAZmIiIiIKIYBmYiIiIgohgGZiIiIiCiGAZmIiIiIKIYBmYiIiIgohgGZiIiIiCiGAZkolEqlsHfvXqRSqfneFCIiIppH/KEQIshw3N7eHv2UamdnJ2+KT0REtESxgkwEoKurC47jwPd9OI6Drq6u+d4kIiIimicMyEQA2traYBgGNE2DYRhoa2ub700iIiKiecIlFkQAWltb0dnZia6uLrS1tXF5BRER0RLGgEwUam1tZTAmIiIiLrEgIiIiIopjQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKYUAmIiIiIophQCYiIiIiimFAJiIiIiKKWTAB+e///u+xefNmXHHFFbj99tthWRaOHTuGbdu2YcOGDbj11lvhOA4AwLZt3HrrrWhpacG2bdtw/Pjx6H0eeughtLS04DOf+Qyee+65efo0RERERLRYLYiA3NfXh3/8x3/Ea6+9hnfffRe+72P//v144IEHcN9996G7uxuNjY3Yt28fAGDfvn1obGzERx99hPvuuw8PPPAAAODIkSPYv38/Dh8+jAMHDuA73/kOfN+fz49GRERERIvMggjIAOB5HkzThOd5KJfLaG5uxm9/+1vs2rULALB79248/fTTAIDOzk7s3r0bALBr1y688MILEEKgs7MTt912G2pqanD55ZejpaUFqVRq3j4TERERES0+CyIgX3LJJfj+97+P9evXo7m5GQ0NDdi6dStWrlwJXdcBAGvXrkVfXx8AWXFet24dAEDXdTQ0NGBsbGzC45NfQ0REREQ0E/p8bwAAZDIZdHZ24tixY1i5ciW+8Y1v4Nlnnz3peYqiAACEEFX/barHpzI0NHRG25tOp8/odUsJ22h6bKOZYTtNj200M2yn6bGNpsc2mpnF0E6rV6+e8t8WRED+t3/7N1x++eW46KKLAABf+9rX8MorryCbzcLzPOi6jt7eXqxZswaArAz39PRg7dq18DwPuVwOTU1N0eMV8ddUc6qGmc5sXrtUsI2mxzaaGbbT9NhGM8N2mh7baHpso5lZzO20IJZYrF+/HgcPHkS5XIYQAi+88AI2bdqEG264AU899RQAoKOjA+3t7QCAnTt3oqOjAwDw1FNP4cYbb4SiKNi5cyf2798P27Zx7NgxdHd3o7W1dd4+FxEREREtPguigrxt2zbs2rUL11xzDXRdx5YtW/CXf/mX+LM/+zPcdttt+OEPf4gtW7bg7rvvBgDcfffd+Na3voWWlhY0NTVh//79AIDNmzfjlltuwaZNm6DrOh599FFomjafH42IiIiIFhlFVFu4ex7L5XKzfo+hoaFFPW0wF9hG02MbzQzbaXpso5lhO02PbTQ9ttHMLLZ2amhomPDfC2KJBRERERHRQsGATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEp5RKpbB3716kUqn53hQiIqI5oc/3BhDRwpVKpdDe3g7HcWAYBjo7O9Ha2jrfm0VERHROsYJMRFPq6uqC4zjwfR+O46Crq2u+N4mIiOicY0Amoim1tbXBMAxomgbDMNDW1jbfm0RERHTOcYkFEU2ptbUVnZ2d6OrqQltbG5dXEBHRksCATESn1NraymBMRERLCpdYEBERERHFMCATEREREcUwIBMRERERxTAgExERERHFLJiAnM1msWvXLnz2s5/Fxo0b8fvf/x7pdBrbt2/Hhg0bsH37dmQyGQCAEAL33nsvWlpacNVVV+HQoUPR+3R0dGDDhg3YsGEDOjo65uvjEBEREdEitWAC8ne/+13cfPPNeP/99/HWW29h48aN2LNnD2666SZ0d3fjpptuwp49ewAAzz77LLq7u9Hd3Y3HHnsM99xzDwAgnU7jwQcfxKuvvopUKoUHH3wwCtVERERERDOxIAJyPp/HSy+9hLvvvhsAYBgGVq5cic7OTuzevRsAsHv3bjz99NMAgM7OTtxxxx1QFAXXX389stksBgYG8Nxzz2H79u1oampCY2Mjtm/fjgMHDszb5yIiIiKixWdB3Af56NGjuOiii/AXf/EXeOutt7B161b87Gc/w9DQEJqbmwEAzc3NGB4eBgD09fVh3bp10evXrl2Lvr6+KR+fytDQ0BltbzqdPqPXLSVso+mxjWaG7TQ9ttHMsJ2mxzaaHttoZhZDO61evXrKf1sQAdnzPBw6dAiPPPIItm3bhu9+97vRcopqhBAnPaYoypSPT+VUDTOd2bx2qWAbTY9tNDNsp+mxjWaG7TQ9ttH02EYzs5jbaUEssVi7di3Wrl2Lbdu2AQB27dqFQ4cOYfXq1RgYGAAADAwMYNWqVdHze3p6otf39vZizZo1Uz5ORERERDRTCyIgX3zxxVi3bh0++OADAMALL7yATZs2YefOndGdKDo6OtDe3g4A2LlzJ5544gkIIXDw4EE0NDSgubkZO3bswPPPP49MJoNMJoPnn38eO3bsmLfPRURERESLz4JYYgEAjzzyCL75zW/CcRx86lOfwuOPP44gCHDLLbdg3759WL9+PZ588kkAwFe+8hU888wzaGlpQV1dHR5//HEAQFNTE370ox/huuuuAwD8+Mc/RlNT07x9JiIiIiJafBRRbeHueSyXy836PYaGhhb1upq5wDaaHttoZthO02MbzQzbaXpso+mxjWZmsbVTQ0PDhP9eEEssiIiIiIgWCgZkIiIiIqIYBmQiIiIiohgGZCIiIiKiGAZkIiIiIqIYBmQiIiIiohgGZCIiIiKiGAZkIiIiIqIYBmQiIiIiohgGZCIiIjqrUqkU9u7di1QqNd+bQnRG9PneACIiIjp/pFIptLe3w3EcGIaBzs5OtLa2zvdmEZ0WVpCJiIjorOnq6oLjOPB9H47joKura743iei0MSATERHRWdPW1gbDMKBpGgzDQFtb23xvEtFp4xILIiIiOmtaW1vR2dmJrq4utLW1cXkFLUoMyERERHRWtba2MhjTosYlFkREREREMQzIREREREQxDMhERERERDEMyEREREREMQzIREREREsYf/nwZLyLBREREdESxV8+rI4VZCIiIqIlir98WB0DMhEREdESxV8+rI5LLIiIiIiWKP7yYXUMyERERERLGH/58GRcYkFEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRERERBTDgExEREREFMOATEREREQUw4BMRER0HkilUti7dy9SqdR8bwrRoqfP9wYQERHR7KRSKbS3t8NxHBiGgc7OTrS2ts73ZhEtWqwgExERLXJdXV1wHAe+78NxHHR1dc33JhEtagzIREREi1xbWxsMw4CmaTAMA21tbfO9SUSLGpdYEBERLXKtra3o7OxEV1cX2trauLyCaJYYkImIlrBUKsVQdZ5obW3ld0h0ljAgExEtUbywi4ioOq5BJiJaonhhF9Hiw9v5zQ1WkImIlqjKhV2VCjIv7CJa2DjrM3cYkImIlihe2EW0uFSb9eFxe24wIBMRLWG8sIto8eCsz9xhQCYiIiJaBDjrM3dmHJDvv/9+3HHHHbj66qvP5fYQERER0RQ46zM3ZnwXC9d1sWPHDlxxxRV4+OGH0dvbey63i4iIiIhoXsw4ID/yyCPo7+/Hnj178Oabb2Ljxo340z/9UzzxxBMoFovnchuJiIiIiObMad0HWdM0fPWrX8WvfvUrHDx4ECMjI7jzzjtx8cUX49vf/jb6+vpmtTG+72PLli346le/CgA4duwYtm3bhg0bNuDWW2+F4zgAANu2ceutt6KlpQXbtm3D8ePHo/d46KGH0NLSgs985jN47rnnZrU9RERERLT0nFZAzufz2LdvH2644QZ88YtfxLZt2/C73/0O7733Hurr6/HlL395Vhvzs5/9DBs3boz++4EHHsB9992H7u5uNDY2Yt++fQCAffv2obGxER999BHuu+8+PPDAAwCAI0eOYP/+/Th8+DAOHDiA73znO/B9f1bbRERERERLy4wD8q5du3DJJZfg17/+Nf7qr/4K/f39eOyxx/CFL3wB69atw969e3Hs2LEz3pDe3l7867/+K7797W8DAIQQ+O1vf4tdu3YBAHbv3o2nn34aANDZ2Yndu3dH2/XCCy9ACIHOzk7cdtttqKmpweWXX46Wlhb+0gwRERERnZYZ38Xi+uuvx89//nNcfPHFVf9dVVUMDQ2d8YZ873vfw9/+7d+iUCgAAMbGxrBy5UroutzEtWvXRks4+vr6sG7dOvkBdB0NDQ0YGxtDX18frr/++ug946+p5ky3N51On9HrlhK20fTYRjPDdpoe22hm2E7TYxtNj200M4uhnVavXj3lv804IH//+9+f9jl1dXUzfbsJ/uVf/gWrVq3C1q1b8eKLLwKQFeTJFEU55b+d6jXVnKphpjOb1y4VbKPpsY1mhu00PbbRzLCdpsc2mh7baGYWczstiB8Kefnll/Gb3/wGzzzzDCzLQj6fx/e+9z1ks1l4ngdd19Hb24s1a9YAkJXhnp4erF27Fp7nIZfLoampKXq8Iv4aIiIiIqKZOK2L9M6Vhx56CL29vTh+/Dj279+PG2+8Eb/85S9xww034KmnngIAdHR0oL29HQCwc+dOdHR0AACeeuop3HjjjVAUBTt37sT+/fth2zaOHTuG7u5u3kybiIiIiE7LgqggT+Xhhx/Gbbfdhh/+8IfYsmUL7r77bgDA3XffjW9961toaWlBU1MT9u/fDwDYvHkzbrnlFmzatAm6ruPRRx+Fpmnz+RGICEAqleJPoxIR0aKhiGoLd89juVxu1u8xNDS0qNfVzAW20fSWShulUim0t7fDcRwYhoHOzs7TCslLpZ1mg200M2yn6bGNpsc2mpnF1k4NDQ0T/ntBLLEgovNXV1cXHMeB7/twHAddXV3zvUlERESnxIBMROdUW1sbDMOApmkwDANtbW3zvUlERESntKDXIBPR4tfa2orOzk6uQSYiokWDAZmIzrnW1lYGYyIiWjS4xIKIiIiIKIYBmYiIiIgohgGZiIiIiCiGAZmIiIiIKIYBmYiIiIgohgGZiIiIiCiGAZmIiIiIKIYBmYiIiIgohgGZiIiIiCiGAZmIiIiIKIYBmeZMKpXC3r17kUql5ntTiIiIiKakz/cG0NKQSqXQ3t4Ox3FgGAY6OzvR2to635tFREREdBJWkGlOdHV1wXEc+L4Px3HQ1dU135tEREREVBUDMs2JtrY2GIYBTdNgGAba2trme5OIiIiIquISC5oTra2t6OzsRFdXF9ra2ri8goiIiBYsBmSaM62trQzGREREtOBxiQURERERUQwDMhEtOrxlIBERnUtcYkFEiwpvGUhEROcaK8hEtKjwloFERHSuMSAT0aLCWwYSEdG5xiUWRLSo8JaBRER0rjEgE9Giw1sGEhHRucQlFkREREREMQzIRERERIsAb3E5d7jEgoiIiGiB4y0u5xYryEREREQLHG9xObcYkGnWOOVDRER09lTrV3mLy7nFJRY0K5zyISIiOnum6ld5i8u5xYBMs1JtyocHLRER0Zk5Vb/KW1zOHS6xoFnhlA8REdHZw351YWAFmWaFUz5ERERnD/vVhYEBmWaNUz6LUyqV4gmYiGgBYr86/xiQiZYgXlxJREQ0Na5BJlqCeD9NIiKiqTEgEy1BvAiEiIhoalxiQbQE8SIQIiKiqTEgEy1RvAiEiIioOi6xICIiIjrPVPu5apo5VpCJiIiIziO8U9HssYJMREREdB7hnYpmjwGZiIiI6DzCOxXNHpdYEBEREZ1HeKei2WNApkWDP41MREQ0M7xT0ewwINOisJgvOGCwJyIiWlwYkGlRqHbBwWIIm4s52BMRES1VvEiPFoWzecHBXN4bklcSExERLT4LIiD39PTghhtuwMaNG7F582b87Gc/AwCk02ls374dGzZswPbt25HJZAAAQgjce++9aGlpwVVXXYVDhw5F79XR0YENGzZgw4YN6OjomJfPQ2df5YKDv/7rv55VFbZS0f3JT36C9vb2cxaSKyG8qamJVxITEREtMgtiiYWu6/jpT3+Ka665BoVCAVu3bsX27dvxT//0T7jpppvwgx/8AHv27MGePXvw8MMP49lnn0V3dze6u7vx6quv4p577sGrr76KdDqNBx98EK+99hoURcHWrVuxc+dONDY2zvdHpLPgbFxwMBdLNSYvq3jooYeQTqe5BpmI6DTw+g2aTwsiIDc3N6O5uRkAsHz5cmzcuBF9fX3o7OzEiy++CADYvXs3vvSlL+Hhhx9GZ2cn7rjjDiiKguuvvx7ZbBYDAwN48cUXsX37djQ1NQEAtm/fjgMHDuD222+fr49GC0xlqUYlvJ6Liu7kEJ5Op3H//fef9b9DRHS+4vUbNN8WRECOO378ON544w1s27YNQ0NDUXBubm7G8PAwAKCvrw/r1q2LXrN27Vr09fVN+fhUhoaGzmgb0+n0Gb1uKVmobXTppZfi8ccfRyqVQmtrKy699NIz3g+msmnTJiQSCQBAIpHApk2bqv6NhdpGCw3baXpso5lhO01vobTRgQMHYNs2giCA4zg4cOAALr300vneLAALp40WusXQTqtXr57y3xZUQC4Wi/j617+Of/iHf8CKFSumfJ4Q4qTHFEWZ8vGpnKphpjOb1y4VC7WNbr75Ztx8883n9P1/85vfzGhqcKG20ULDdpoe22hm2E7TWwhtdPPNN+MXv/hFVEG++eabF8R2VSykbVnIFnM7LZiA7Louvv71r+Ob3/wmvva1rwGQDTswMIDm5mYMDAxg1apVAGRluKenJ3ptb28v1qxZg7Vr10ZLMiqPf+lLX5rLj0HnkOsHSGgL4rrSafEG7UREZ+58/iU4rq1eHBZE2hBC4O6778bGjRsnrNXcuXNndCeKjo4OtLe3R48/8cQTEELg4MGDaGhoQHNzM3bs2IHnn38emUwGmUwGzz//PHbs2DEvn4lmbqTkzOh5xzLWOd4SIiJaKFpbW3H//fefVyFyru6kRLO3ICrIL7/8Mv75n/8ZV155Ja6++moAwN/8zd/gBz/4AW655Rbs27cP69evx5NPPgkA+MpXvoJnnnkGLS0tqKurw+OPPw4AaGpqwo9+9CNcd911AIAf//jH0QV7S8liqrQCQE/OwkXLjFM+RwiBsZILXDhHG0UYKtq4aJkB9RTLlIiIaOYW649eVbPYssbpWhABua2trer6YQB44YUXTnpMURQ8+uijVZ9/11134a677jqr2zefzmQqZiDvYH1j7TnesrMnqP7VT+AFAiXXRyDEvAY2LxDQ1aURGHOWjxU1AZIJbb43ZVp+IFB2fSyvWRCnNKLzzkJYFrAQtmG25uJOSnPl8FAJV69ZPt+bcc6wN1nAzvQ2N6YXzMHWnT1TjI0m8MPnWF6AunkMbO8MFrBlzdQXkJ5PbC+A6S6OgGx5AfryNj57EU9pdP4bLTm4cJpZt7NpIdxybSFsw9lQbW215QVIqAq0s1h8EUIgb/tYUaPB9ALUaOpZff+l4PytjZ8HTudnil0/QLrsAgBMT1ZaF4vpKsijJSes3AJ5y5v13xNCYLhoR/89ULBP8eyJZlLtni3XD+D48z/IEUKg4My+vedCIATm49RfOeamMtXM2EwVHR8lx5/Ve5wOIcRZ3feKsW0vu3P3OWYrb7nIW6f+budT2pzb4/K3//7SjPuiU5nN8XA6/eFCN3ltdV/OmnCsxGXM098PR0sOBosOjqVNuIHAx2Mm+mP93Eyu+ynYHtyzcC6odv6qPOb6AU5kLRTshdnPMCAvYJWpmOl+plgIgXeGinh/pAwA8HwB1z83Sc46B9Xp6U6aJ3IWHC9Ara6hcJbCQvyCv6GCPFmUXR/+NAn4XI07Kieij8bKGCu7GC3NX+fcPSr3IygKLHd+gvrpdqRzMXCp5kR2fD/KVunITmQt5GYxqCvY3px2HqYX4GjaPGvv15eTnbIQAiPFhRc4pyokWF6Ac7FLVdtHqhkLB15TnY+Ksxy4Fmxv2nNd3IWf2YJEwoA6TV9UkSmfHMBcP5jVhdbx/jCRSCzqpQmTuYFAvLjbl7eQMV14gcAHI+XTDqpeIKJztxd+z/15J3qf+HmrImt5KDp+dL4ZLjpnpSBVLYx/OFqC6foYKbnoyVoYLMzsQv25xoA8h7xA4ERWdj4z6fQqUzH/y3/6T3js/35yyukkNxBwfcByfWRMFznbg+1NHSTHqpy8ZuromAxPBds74yp10fYmHDT+NO8TCNlhaQqqBjY/EHhnsDDNe0z8GwXbhxmuac6GJ4GRooMPK+HwFNsCnLoaNliwIYRApuzO+MT2h948/ECgaPsouT7ysf2j5PjIWR56c3NzF4/K6D4IBOxzNNCqEEJU7ahPZKev6udtLxqwyUA9+xpyJZifTofUE3Y2RzMnB8tz3X7VBEKgJ2vBD8RpDzQcL8BQ8fTOD+YpjoVsWIXtydkou7PrbP1AnPUBeu8U+9nZXKZWqcgPFmwcTZszCqaVQco7g0UE4uTv0XKD6H1cP4BdZXt7clbU30zWm7Nhh9tVcnwMT/Od/9GV1+Dx/U/iL/7n/4j/+uSvcdU110bHyLHYgCoQAoEQGCmf/F27gZgwW+fF2mEmsxbXXXcdfvnkr3HH//Qf0fH//L9RfzgXs6VCnP19r+JE1oQXTLy2RtWbZzAAACAASURBVIGCnOXheMZE0fHxVrgfAPLzxmdAAyGqVp8rA/PKfmK6HkZKLo4MFRGIiUUI2wvwSdrEYMFG1vSQSqXwxP/+c3QdfLXqNn+Skc+Nm+pcU+lPRLgfB0LA9gQ+Tptw/ACWHyCzQGdrGJDnkO0FKNhyZxkoOKc8sCv/1traiv9w7/fwmc9dM+VzHV9AQKA2oaInZ0GI8RP85M7LCwSOps2qI8iZyFgebC/AYNFBOQyrthegeBpVrozpTgiYk5thcsVNCMANAmiqMuGkWuEGAiMlF6MlB+8NFwEgmh4VQsD2AhyPhRdfAMmEioGCA9cX8AIZ0kpugJLrV/0bFUEY6I6mzQmfwQsE3h8pAQA+yVp4a6CINwYKcCe911TT5Y4fIG268uThBhNmAFw/wGDRxmCsE5vJFJnp+tE2nQlfCHh+gP78zJegpFIp7N27d8a3LspZHnomBX8hBMbMU38+xw9wdMyM2tMPBPwpwnY1k59XCQhvD5ZQdHy8OVCc0fsAQH94LAcBUHa8qL0CIWC6/pyv+ys5Pj5Om/horIy06VUdzE3VmVWO6cnHc6USXM2Ho+Wqx0wgBAq2j0+yJo6mzVmHTssLZnxLyJnKT1GJzZoehs+w4l2ZEq+08Zv9xeg9AzEeBivnZi8QJ/UFlfAaQGCg4GBk0oySF8ilMIEQOJ6xMBy2ixAC7w4VUXY8HEubyNvVzzd+7GJn1w+mXf4iAHz2qq346h1/hau3XouC7UWDv3T4eQu2h8GCg3cHiyi7fhSgK4Uhx5NBPmO6cjsHi9E2vzN48vFWOUaFEOjNyXPqddddh2/c/R9Qf9nmqJ0/HC1H54H0LIo/FdX2ZV/Ic+5Ho+UJYV4IcdKswEyKX6Ox7+vjtAnTDSZUkGs0JVpe1VCroWj7OPDiy9i7dy9+9ey/48hwCWMled4ZLDhVP3cl0Lu+fG/Xl31TZZ/wAhH1k++PllB0fQwVHRx+8zW0t7fjkb0P4y+/+Y0J5/JAyP5ytOxGsxyV9nq7yncIyCzSk7UwULDx1kARA3kHxXBQ5vgCJVt+znTZmfEMy1xhQJ4jjh/g9b58tHNarg/TDaJRVZzrBzh4Ih/teJZ7coXA9gKMhJ162fGQNT0YmhqdKMpOAC8Q+ENvHjnLRTnsCAYLDrKmP6GKPFiwoyoqEIaNKYKGrioYLjmw3ADZcB2cFwgMFJ2wGnvyDu4FIqpoFx0fRSeA7Y6/f+UEWHFs0hSvH8iQO/nuFZmyizf688iaLmp1FcczFoqObKcPR00MFWy8MVBA2nQndBSVAJ4x3WhqK2/JKcd02cPHY2XYXoDusXLUcVXWZnphFWuo6ODNflm1/jht4s3+PNJlF34g18L6gUCNPn5x2+EhWQE4MlyKAvlkAwUHApUZARkGvEBA11SYbgA/kFO0/XkbvTlbVmpKTtXqUbrs4s2BAjJlLzoZV+RtD+8NjwfnYjgbUOlcK5/XDwQE5Po4ABgqOlWrKMczsgKSSqWwc4b396y0Y7W9LBDTrzUfK7tR1SRddvH+qImxsotjVaq41cjB0XgH/v5IGR+NlaOO2/bkcptTDWIrr7c9eYJ3A4HBooPBsLpzqL+AguNDVYCxkhPtd2NlFwPTDDrif/d062NZ04WhKchZPnpz1viSGSA6zo5nrAlV8sq+XHZ91Cc0DMQGY0NFG++PTj3QMt0Aw8WJA/5ACOQtD0ldxWjRRdp0UbB8vD1QnHIAOrkiFVdyPFieP+U6zazlnXaFzwtE1TXkfiBQdgK8N1yCdZrrpj/JmnhnULbViayF13pz0QxZwfHh+AJmOAh5b6QE1w+Q6slFj1Xa0Au/G8er3laqosB0Azi+vE4gHQvQecvDGwNFFB2/6pzKQN4OP/vMwuThoRKEkIUYzwc+HjNxLG3B82VhpPK1DxRsBAJQVQVZc/z7+GC0hKNpeW6u0VR8PGYiZ3kQEHj54EH87d/9FG8fev2kv/vuUBHFMIh/NCYrqZnwHOsHssruhOG+MgjtLzgzGiRPtQ+6foDBgoOyKwOcHwgcC6v+lhfACQSypoeMKc+rPTkLh4cmHhup3jxGw/NyucoALJVKYc//+ndIpVLIhH2oG4iomNKTsyAg2zsQQN728fHhQ7jztl34zz/5Ce6/6za8+8YhdI+ZeH+khHcHizDdicdeX96G7QUQELA8gYzpwQ2C8HOMB+Qjw/LckC576M/Lc9TvX34FjuMg8H24rosXXnwpaq+s6eFE1kLR9qN99o3o3DF+/MVnChwvwLGMiUAAnhDRflK0fQwWbJheAMcTyFneKYtT84EBeY7YXoDRshuFGUVRkDE9DBbHqwNHhkvImC6ODJegKYjW5VRbb1awPXTHguRyQ4OuKhBCnuAdP0D3aBkFx5cHWPjc0bI8cI3w3oW2F8jp/FjndmS4hO4pOkRdVZApy0BVim1XX87Gof7CSesXh4sOBvIWevPys/TnbZRdH/2F8UDsi5ND8XvDxWjgIKsl49NLvTkbf+jN4/2RMmxPIGO60FUFTvi5K8Hug1ETZUcGedsLJkwJVk54WdPDsoSGoxkTgZDvdSJrI226GMzbeK23gHQYxt4aKCJve/JA9gXKboCs6WKwYMP15QmiYHvwhZhQNQyE7IjzYSf+ScacUA2OC8Ig7voCn2QtvNlfQCkcANmej/dGShgpOTBdH4MFB59krJMqcz1ZE++PlJHUNSQTKj7JWlFbmq6PnknrYo9nLbw/UsJw0YnWiVYCnxcI5By5FGUgb2O4SogpObKSNfkimv/24ktVP2Pl/WUQPTnUyCrFxGUO8UFk1nQxXHCiSk7J8TBUlB3CWMmNOshCuAQjvp8eTZejGYzKybhoy85juOig4Pgouz4sT2C46OCDWLisVE8AuU8e7MnBE+G+NlJG3vKQtzw4nhxsmI4PP9xvj2UsvDdcQn/exvvDJRzPmhMq87YnB1+Zsos/9ObRF/7b0bR8nun6Ey4aq1ToqlWCC04ABbIzKjgyVI6EAfaDsAJm+cFJgTRddjFSdKGpSrR/HMuY+HjMRF1i6q5CVYDRkjuhgpS3PbwzWISiAJqqwPXlMZy13AmzWn4wfh75cNSM2nfylP8nWQsF258ysGZNF+8PlyCEmPHymHcGC9F5JWeN7zfdo2WUPR+1uooj4XtW4wcCJ2JraoUQsFwBTZXfp+0F0BQlaruCLb+zkuPjUF8efiAHJoEYD8ZvDxSRKTuoHBZeuExmNAyGH4+NV+sLjodMOPAYnVR5W5bQULB9NNUlou3vyVmwvQAncjZsT+B41g6XcJy6nVw/gKLIv+cGsh+rHAsnchb8cLp+tORiNAzdVjhbmrM8jBY9mF4Ay/NRl5BFnI/SJt459Dq+9ud/jocfeggPfPt2vPTKwehvZk0XBdvHUMlF2fFhaLIw83Hagh/Ii5htT+DIUAmuP36Bbt7yT5q1e70vjyPhzOLhsADw8ZiJkZKD13rzOJY2o6qvL+Qg571heZ4NhAxuvhCwHPn9WV6AghNgIOy7A2DCkjhNkcf7QMGGNWmAk0qlsHPnTvyXf/wp2tvb8d9eegUrDB2256Ps+LC9AB+OlFF2AzheEA0G3nv9VXjueGh99/WDcP0ARduHqiqwPT8qmOVMD8fSFiwvgOvL76/gjA/4i47cB0dLblh4kQUo2fcIfPrq62AYcr15IpHAZ7e0wgsE3h4oomB7SKiyKuyFod6OCkfjx2Z8xsn15fPSpiuvjwq3Y3mtFg3+XV/2xwvtFqoMyHPI8+WosD9vQ1MVFB0PI0UH3WNlpMsusqaLw0MlWF6AGl2NTjamKzD51r8F25frXMMTY0KbGMhML5Cj9EBWeEZLcgF+2Qmi5QpAOOVijY/AC7aHfGz6rCcrT6rxUXnZlcEjXrEZLbuAAILwocGig0P9BZzIWhgpe9GUbc6S723GThyOJw/gyoncFwJZy4/WQlamEwFZlenPW0ioCpIJVVZ/bR8JVUGdriJT9mCHnVC9ocIPZEhIqApe7ytgpOjADDuuWk3FiawZdeCVEXHZ9XEiayGZ0GBoCj4YldXFvO2h7MoOQlGAuoSK7tEyVMht0VQFB3vyEzoc2wtwZKiEshvg/dEy/EAGfMcLJiy3CIRc8xsIeZGlLwA/AKAAH4XBIaEqSOoaLFfenP3IsNxXfH+8+vTecBF9eWdCoHF9EbXlByNl5G0fjcnEhG0s2D66x0wsM1Q4vqyEJnXZfgjX3zm+gFVlTW2l2tXW1oZEIhFdVLpu89aTnlsJdbqqwPSCcKDoTmgLX8g1eJVpX8v1Jwy8jmZMpE0vCjemJ+T4Tsiw1p+3EAiB13rzGCo4E6qEBdtHdzglW/koo2UXKwwNXiAgDyMFK2t1DBRtDBZsFGwPRUdOHw+E68uPDBWhKXJAWslPpudjzPTgBnKmYKQsZyhGi3ImoEZT8EZ/AcmEiqSu4XjWRE+4RrR7tIzBgo3DwyUoAN4bLuPIcAkF20fB9qMq91jZheXJ6uZQ0YkqUPFpX9P1IaAgCOSFOssSGo5lLDi+QI2m4njaCj+3fO37IyWUwypPMjE+cM6aLnpzVtXbKmZMF4fC2ZtAACXXn1DqHinJoB0vYZZdH2U3iAaHjh/gUF8efTkHJceTwd0bP84r6xWFEBgqOFVnkSr7lB/IUPZJ1sIb/cVo2c6p7kThBfLc8vZgAd2jZZzIWejP2xgo2NGx54VLGCbzA4GxsouP0mWUHA+pnhwOhZU0BfKc0ZO3oShKNLNm+wGKjo9jGbncxPYDBEIGqlJ4/rN9gbcG5T5gx86xPVkL7w6VkDE9ZMOCQNkNcDxjoeD4MFQVgwUbti8mLMd4s7+AE2FbjJVcvNFfgBMeg3nLQ2/eRs7yYLqyv4jPAsQHMiqUcBtltdMPw9Rw0YUbBGGfIT9fX05WqIuOhw9HS6hLKDBdec2HosjjPlP28NrBV+A6LoLAh+e5+G1sQH00Y6Le0DBcsDFYtFGrq/hUYxKNSR1egCjQeeH29oYDStubuESuMiuYLnvR7CUgZ8MqM7jHMhZcX+B4xgyLEwFML0DJle3vCRFeByPPg6YXoOgGyJsecpaP+oQazbLJdpVhNGfJfiTeT8oigvzMjuPg1d+/DE1VoiB9NF3G8hoNOUsORgIhsGpZAlta/xiJMLTqegItn2tFMqHBE/L8XnIDvD1YRNZ0cSxrYnV9Qvbb4TGUD6uzZTdAQpPnrWNZEzW6gqzlQmB84L/2s59DZ2cnbvkf78N//j9+iXUbr8Zw0UbGdHE0Y0FRlOi9HT8ABPAvv/0d9v9f/xt+98pBBEJMGKRUssRwOJOU1FUEYR/ghf9mhyFeWWA/SsWbhs6hC+p0mF6AP/Tm0bzcgKIgrJQJdI+VT+qIyo6sQjiBPJH6gZwCv+rieti+7Ph6shYuXj5+P0wBYGVSR8n2MVJ20FCjo+h4qNEUvNlfQFJXES/CmK6PouNFO2Z/3kadrkZrYDOmi7687Fz/+NKV8kWKIk8Y4QkmZ3loXl4DXVWiiqDpCZRMV95D15cdmwirzoamoVZTMVJyMFhwUF+rwfFkRWKoKJd7mK4MsavrjXCJhkBSV3B5Y3JCG2mKgrztoyYpd+WVSR0Fy4sGDF5YUTISGmp1BR+lTWTKLlbXG7JSVvbRXK9FI1dNAZxArp28IHzPpK4ib3vhZ5AXOfpC/m1XCCR1GSoaa/UJHYwCecIcKskpO1UBmuoS0ej6w4yDdWvkd1v5IRRFQfjeMtzUJlTUJVQYmhKdaOTaYNkBJXUjGkC8M1iEEECtPnHcK5efmFhmaHADAccL8HG6jAuXJdCY1GH7AnW6ippw98taHnRbgaoo8IUMVe+PlDFmukgmJg7EDg+VMGq60BQFra2teOj//K8YfO91bPvjL6B23aYJ2xEIgVd78mhM6rikoRa2F6AnZ8Hz5X6xzNCi5yV0BT05G8mEhk/yHlbViGhwUSlUuH6A4ZITDSwUBUhoKnpyNsZMuU/35W0oirxILKHJwK8qcgrw0pW1gKGh5PhIaCoSmoqxsoumpA5FUTAaHj+v9uRxWWMtyk4ATQXes/1okOUG49UrTVGgKjL4FW0/rJoG6CvYSIbLbaxYyKvTNfTlHQwVXeRtDyXXR72hha/34HgJ5CwPxjIDSrif92QtfPqCJPxAfqYaTUFjUkd32sG6NZXlSPKahCBcfy/3RTlVrCrAWHh1vKYoGC05eH+kjAvqErAB1Oly22rDAVhSPzkcHx0rY6gkZ0RcX/6dSltUFGx/wvlMQRisXFlV9AOBQ3151GgqAggMFV0sNzTkLS8KjB+OlrGyVkedocnBvRsGsbCAYLo+kgkN3aNldI+ZqK/Rok54Ra0c8BzqL+JPLlsJLTw3xavBleBS+a5Gy/LvKaoCx5VVS0NV0V+wsWZFDWrC48oLBA4PFZEOB3bpcKAxUHCwrkGFgMBg3kHR9XBBMoGiHeDwUAm6CqxMJpDQ1HCWIkAioUFVFBxNW0ho8vtYFg7Mj2XkLbpK4SzAUNHGilodY2W5pCxdcsNlG+F+OVKGAqApNvhVFQV9ORsX1iWi70VRAOgq6hIaRmJLfyqzeKsUec7sydlYXZ+AqgC1uoK8I8OVoSpwfPldyDAqj8tlCXmXIdeXAbrkyEG1ERYgKvuE6wdYUWdg7ZXXImEk4DqAridw3ef/GAAwXLTheAK1uoIaXcVI0UVD7XhUCcIBe024RKtyR45VyxKAIgfU9eG55JOshbTpokHo+CBc0hIIAUWRRQNNVVAT7vMj4eyT4wOW56NWl4Mgzw8DZtiXlJ3wu4PsP5uSejS4cH2BhqQOy/ORNl0YmoqC7aFWl310W1ub/MwukEgY2Hzt9QAq95z3kQ5nNAu2Dz8AgvBUvvnqrfi7fb/Ca6++gvWbr8Olm65G1vLQlNQxGshiS11CxZGRMvKWi4vra+QA3Q8wUKysFZaD1MtX1kYDN8sL0J93kNRU5OFHM6s3trZitOFTqEvI7XcDgYZaPTqGPnrnDfzbO3/AFVuvhw+BB+/5H+A4Dv6/fT/H3z++H+s3fi76vuoSKmp1FUXHR9asFHMAASUK5hfUJVB25LVCn2teOD88woA8hwxNQdYK0FirI2/LKbyEqkQdzGQ1moL+vA3Xl516yZFrn3rDqTIAKNgBGmrHR6iyowowVHTxqcZauVbNkxViDXK6U0CEJyx5YjRdgaLtYVlCRdb0UKOr6M2Z2OjUwfEFanUNgRi/6KI2XJ5RdgPkbB8fjpaQ0OQJyUdlmYBAslZD1nRxcb0ByxPI2x40RUWtrkDXVHw0JpcB1OkahJBTY/15G6Mlue0CsnrjB/LCtaR+8oSHpioT7oJhaAqGSi4SUUXcR2Ps5JrUVaxfOf4rg5MvYmy5oC664Cs+ml0R/kLbSMmBH8gqr6oANdrEABGvcCV1BUczFmo0FZeurI0uAKx8W44vvydDA3RNRdH2sczQEARyiUbBlsFN0RQkNAWVvCFH4MBlK5PwA4FR08PxjOxgp7ogzNBUWeESMqwU7QAfjJawslY/6SLJsusjoSlYltDgBwL1hg4VMpBWiiFCyIsSLVdu8+t9BWy4MIlPbd6Cr2//E5huEK3FrOjLWfICj5KLtQ21sNwAY4ELXwhc4o0P8gIB6IpcK9lQq6PkymrvO4NFuTYvkB214wt8MFLCqmUGBETUKWqKrEwkNFmFVhTZZglVifaLoi2rQ0LImYPKoEJXleh7z9s+LkgmUG9oKNpy0CYUBTWqghpNlRU+Vx7HImxj2xUQCuCHu5yseo7vt/F9ERgfzMjAJ9do6qoSBZrV9QYMXUHWlFPNqEvAF3ImxtAUBEJFyR1fy30ia0FTASEU5BwPtWFFOKGp6MvLQJ1MqMhbHi6sS+DlT3LyXCLEhAqwpirwXIG6cEAkhKxiGuE+XbBlBV9XFVwQbmvlYi15i6mJAXnDBUl8lLaiAdqJrAVVkW3tBwIFT553irYPN5DVpGQYOgphOJa3oKosgZFLni5clpChLJwmFsKDEm7/a715aCrCtY0B3h0qo85zkFjuQFUAvzLdBQUNtRqsooOC7aExmcBYyYURHts1mor3huUvhsl7lMvBvOsLNCYTcHy5pMVyw/1BU1G3TMUqRbbL8hoNth+g3tDHf5ZXyJm9pKZC1+QUeU/WRmNSR9kNUKOq0TKTkZKL5TVaFHwrM2aVdfyVYoYRVgYrA5VVyxJwfYG6hIYPR8thKJFT8Bcs06OZLssL0JSUx5njA2+lLVzoF7HM0NAT3uVDbrcvjzUhMGa6GCw4qNFUmF6A0ZIMsUL4YcVVTqkvD4/JhCrXTNclNDQmE1AUgcs2bsHe/7If//2ll/C5az+PK7dcG150aEfHhaooE8IxIAtKifAY6c3Z8ML+83jGQlLXom1Jl91oLazp+nB8HW4QYKBgI2f5KKsBVtePn3dM18d7RTn7ljFlv1ByfGQtD17aDAed8nvzAjlbValW+0IuMzI0eY4puzL6La/RkLU8XLTMQMnxoiLCa79/BVde93lcefW10WfqLzio0yt9q49kQkUQ+9xXbrkWV265FkczJpK6Ck2R7eP6AoEuv2d5DMpj1g/kcVDp41TIGd7K+U1VFAjImWxNVdBYq0cX4f+hNwchgIQqB3O2N97/Hnr9NTx87x3wXBd6IoEv/tnX4DoORBDA81y8+vuXcclnrwqv25G/X6CrclaukiEcP0BCAeqTcsCX1FVkLE/Ofk3qe+cTA/IcUhUFK2q0cGmAElUk9Cl+QUdTlXBELqfUh0suVtRo6MnZ4aheQzKhoDdnRxXTGk1BQtWwvkGNwlql+lr5e8sNDUNFB3WGBteXa4EKjo+E6aHS1a5eZshp2SD8aWVx8oUNCgQG8mFHF75OBZDqyaPgBGhuULCiRoeqKEjqclpL02Rl0lCUCQt8NEUJO0chTzJhRzJQsOVUThBgJnRVVmGakolozdWpfpr6orrESY/JwUT117Q0JeWFMfb000GKosD15BXEqqJguaHDdH3U6grqazSoUDBWdlCrq2iq1VEMKxOaooTTbrIyVO19KytqNFVBpuxG4XAqqqKgoUbHR2kTq5clcHljDRKaipLtI6lP/Bx1CQ1GuD96ASasC6v8f91jJgq2jxpNRaUFP07LpSDdoyYuqEugLiErtieyVrhkyENDjYZPcjY+GiujztCgawpWGBrKsYtMvDBw1OoahsI7RIyWHNQnNNiBvBVeQxgYNFVu78XLjGj/rokGUvKYSeoqkpPOdJ9qqoUbBCi7wYQBVrwzNjQViqKgVlfCC1CUqAMDZNiwvADLw+UZuiqvPDc0NaqMrFpmoCa2/Kmpyv4m23n8wk1VUbAi3I6V4f++PViMZhDknQA8rF6egKEpeHOgANP18fZAQYbscBtLToA1y2uiv+GGyzx0VV7At7rewKUra/HBaBm2L9A4aQZrRexnuwWA/oINIWR7j4X7XHzPWV6jo+x4+GC0HF3jUCGPlUqQkxfUNoZfih+eWzRFge0HMD05e5K1PHgBsMyQ2135AZ287SFnelhRo8N05BmrVlfDTlxDIqGEVT4fK2sTGCk5KDk+So6HsuWhMFDA+oZktMSm8u2vWpZAwZHrIJfXjLeFrioYLDrIWS6OpS1cUCeD57Lw8w8VXdQlVKxfWYOS66Ox9uTvuGZSe+iaDIxGfWVJi0Da9GDoCpaHswiOL8+FlhdgVfireZYnZ5wSqgyOIyUXK2t1aIocRJfDpQeTma687iRvezI4h2tHATmwUcKqfdkNkAzbOmvKtlUgv3Ml/LbldymDmZ6Qz5WFmvD7DNfNlhwfTbVyNuayxvGiREJVZJiHwOart8JYtwkJTb6fXKpQ+avVJTQVFy0LBy+6gsATqNFVDBUdXFiXwFDRwcqkjsNDJRjhsbe63oDrBxgre9FyHUsAq+vle46G15m44X4oB0ByGYzrB8hZ8m/I70Ne/FijqVFbL0to0S38KoPdS8JjL2d6GCjYOJYxcdnKJD77uWtwwaevREOtHm1frS4/vxIOSFVVga4oYb83cd/xA+DieiPqfy5dWRudo/1ARIPrTzfVIm/7yJgeLl1ZC0NT0D028VofBXI53/IaHctr5BJQTZV/o3LEegEQPzX893//nVwPHQTwPLk0UE8YMjDrCfzR1dvCGS8P742aqF85Put7UbgfN9cbqNXl+bWxVkdCk0WNQCjRsqOFgAF5DinK+A4Sd6rbQJmODx+ALuSVqHIdqhqtv5TT4EDlXSvhKd511ejKhJCzZkUNAiHkRQF+IIOHF2AgPz4VnExo4dRb5aQIHDyRx8qkFlW7a3QV/XknqiAB4x2VrsogXAluiqIgZ068GDBOVxWcyFkw1InLKOoSckBQXzN1AFweC4dquPyj0q6Xx6rFVV9bc3qHgBoGJlm1mP75k6vevgCWGRpGy244KyCvbE+o8mKetOnKgKopWLPcOKljrWa6cBx3QVKHES4nADBe0YpZWVu9TdY31EJR5EUslVF/3FBBhv3RsoP6Gg2aCrw1IC9Cqq/R4IRT45eF30ljrRad5CvrIjOmi+4xUw4oalQUHHl3lobwe9KFCJecqBOWe6yoss26quCS5YZcHz+JqgBDBRdjJXfKNl67YjxcVqogcZXpyISmYqRgY0WNjtde+wM+fiuFz//xF7Ds0s3RspHpeMGpqyaGqqIgfPTlbZTdAM3LE3INq64iCIRccyzigwNES4QqGgwNRvjvf3ThxKVKtfqpf4a2UjFXVFntWreiBmU3gBp7je0FeHOgiKSuVr3Y5uJwuZSuKkga49vpBfKCK7lWVa75vLyxFv0FG/WGnKpvSiZQDqtY6bIbVSMrg9mEqqDkiCh0y+Uf8v3Hyi6yVjhNnNBwQZ2BnO0hCENcZZCshAUMQJ53giA+aBPoydnoyVnoL9hYZmhI6iq8QM7EHTv8Dt5M/R6XXXUtxWysZAAAIABJREFUvnD99VO2Y4Whja/DDMIlUysMBVpYOCk4PvRwpqIUm+WSM3rjbduY1Cecf9VwWydL6irGTA8tTUkZsr0Ath1Odwey+l255SUgz50qJp4fmibtT7UJuc+5QSCXN0CeO0quj0AEWN8wvo/FixSVfbQS5DRF/p+uyrtQTHfOq/wtQPZTlT6q0g+YXoAPR8tIJtTxz6Mo8CCiC9LWLDeiH52qLLmqNzQYnpy9S6hyhsrxBBpqExCQ35GmKAgURNecxJs6vrQt/p1YXoB3B0uor1HRm7OjJSjxrnBdg9zfK+fepvB/9eDk4+jTTbUTzhUTChjKeF+vhrMzfiCibft008TjfvI5/II6uYwiCORUo+3JpFx5lqYquOyqa5EwDLhhIP7zXbfgT9u/jrdSv8cX/+RPsPyyzTA0Bf15B3lHoK5Kn5+MJe5V9YZcnjJFNphPDMgLnKxuKfLiKCGQUGWoqImdJFecIjwCqLqOUFVk9bLekLuA6fpwA0yokC2L7cSaKkeEhqaioXb8PdQqHWHNFB2kvAaueiesKcCY6UUnzbjLVtYid4p7S9ZMOsgbYu1xrqZqdOXM3rve0KKqaiKcjrO9AAnj/2fvvcPsusp7/8/a9fTpRTPqvVvdBbAx4BBMDaEEHEpoCQklIYQLuSQ4JLnJLyGGBOfeixMCF2JaFIMptoWxAVNky5YtyZbc1KxRl6bPnLbb7491zplzpp4zTWek9XkePx6dsvfaa6/1vt/3Xe/aR9Yi1oUM+RQCIYhUIHzLpXhzXjkMF1lyiXv0cpeWmIWhCQYduSPb9SFA1mgnHY/hfru4/zKuXEJ/oUfWH8as/GqHQbboc5aujchOjsehfXv55a9+xTXXXse27UM/tKMJQb57y9k4Pdo5bUMrBCcNEZNn9z/OP330XThOlru/8q987svfhMZtZbWzfoygJE++C0TuqQh9ab+w3BuzdJxRnjIxPFs93niaKMgyNIGR/4wx+vEmOkZxMBoq6s98bTdI8W1o0t5kvABLl7WLtSGDbNKhMWJxcdChIVLaX8OzpkGQ/zEfE0vXMHJL0XlP7/kBYVPQlQpGDQyGX4sXyMd7JR1f1ibrGglLzt8jTz3Bx9/7NpysXHL+/Fe+xbpNIzeoDicvhgRyk1Jxfw5kXdrjcpUnXHRv45ZWMm8aht1jXYhC8kTaYfl3ftzkz+f4siRpwPGwDY1srja/kPyYYI7lV8S6Ui5xyyjcW0MTLKoZPykxWtsTtjHmY+nGI2bphXuV9wMDWY+oqeVWXIb6wtQFS+tCBdGfF2lhQx9aYbJh0PELGWc/kNcUMfXC0ztqQwa538sq65dVHU/+RkHY0HMZaZlhH55gGe3HUkYbm+OtiA5PbtSHjULQCCOD/OE+LGzqhE2d/tzj++rDshQn/zVDE7z0umtp+o9vsW/Pbq7afg3rN2/D8wOuu/pqYOjn5XvSLmGjVFOMRRCAqD59rARytRPK1ZsOZL0JhXClFAvZlFOamRiOpcvM3/AJO7ymctzz6aX1wsUIIcbMXNqGRrMxMvM+FqNlRaeb4ZsFK0HXBC1Ri86MyG0OG3rP0jVcr3p+l364AY2Y2pgGOj+WbF2jd1jt92DWL5RtjIbr+5wfdLgwmKUutyw7VQ7u28v/eP/byWazfP8r/1q2cCkXQxOFpW9b13jysYdxHYfA93EchwOPPsyGzeUJ5ImuN2HrpByv8MSQiKUTQR81EK2U4Vml2Sbr+dSZcqxEizLLS3L2xhpml2qKVh7y1IXNktW5RMgo1F8b2shAPmxoDDrle+RiAe54ch7k23Dg0YeLnsYA+/bsLmuc5etfRdGqV+G9qDWqHZtonMgn8uTGyLCSmfy/bUMjFgSETZ2I45FxA+rDBj1pRx6/jEc/57PJnh+MWgZWCfNrbPmIw5Rb0WrYWDRHTEKGRmfSJWbrtOdWgjQh0MpY9osYAiE0QJdPscjdHMHIn7Qv1ydncqVYtq5hhaWvGz51M2M887oSRhPAk7EQYVOX+1+KyvmKWbdpa8kYL9YFpib3QWm5JNJ4gr74+4vrQiXPUq4G1GPeqhwtt2QiJ9T0ZkOLM8sJW58wMzfVXwTTNTHuOartGYiXAl0T6NVSgDUK5YxBQxMjHtaf9fxCvd1o+IGspU7mHmE3Hezbsxsn6xQ2j+zbs3tajjsWm3Zci2mZheeHbtpx7bQd29Q1WuN24bFWhiambb6Uc5yD+/Zy5x23c3DfyB90mCr1YXNU4Ze3N5FC2dfYZUGhUVatim1NY8RkVWOk5P2oqRfKfSbC82W2sjZksLIxXCI+p+O+D7+ksDk5oagLWUI3Efnjy4yzFCWy5r6y8yVsvaRWfTJYuoatayOevjNZEiEjN1+skgxzuRSPRVsf2tjrM/IXOIs3+Y1FTUgvSf7kyyCG29L4DKwYThZDE5O+H6YuyLgyICunRLCaURlkhaKKkHWzEzu4ascelvVrmLC0Qz6erNyfii6HvHCRj1SaXsE6Gus2beW23NLjph3XTmu2Gipbvp5ODu7by8fe8zs4WQfTMrntP6Y3E18u0UmKxvEYXp41FlruY6MJoum470unsCJVTH5TabnoYmhpP2LqcgNmeT9GCZTffxO2o0qTI8XljOOtgI2Hlnv840SUE9jMBTQhsC4TZXmZXIZCoagm4hVayPyj68r8EbQCB/ftHVOYzLRgHe3cw5cep5tLISTymXjf93Cc8ksILicmErAzfd9nCl0THNr/OL945vEZmSOXE8MfN6cYm0rtf7VyeVyFQqGY0+Rr3RbVlp9FKSezOVPCpVqyqrPBbGfiFbPH0/sf57aPvgvXGRrHrQuXXOpmKRRVwdwuEFEoFJcVlSzZlmY2Z77GuFrOPdvkM/Hv/fDHJxUIzGT9smJq7NuzG9e5MsaxQlEpKoOsUFQh45UOKCSXMrN5pWVVJ5uJv5Iy7XORK20cKxSVoASyQlFlVKOoqEbBPtM1xtV67rnElVa/XI3zZDxGG8edXV2XulkKRVWgBLJCUWVUm6ioRsGe51JujpqrG7NmkyspQ1nN82Q81DhWKEZHCWSFosqoNlFRbYJdMXe4kjLtc2mezLVMt0JxKVACWaGoMqpNVFSbYFfMLao1QzndInGuzJO5mulWKGYbJZAViiqkWFRc6mxPtQl2hWKqzIRInCvzZC5luhXTy1i+5FL7mGpFCWSFooqplmxPtWYBFYrJMFMicS7Mk7mS6b6UXI6CcSxfUi0+phpRAllx2VENxm262qCyPQrF9HMli8S5kumeTiqxx9MtGKfTH03lWGP5kkp8TDX41tlECWTFZUU1RMPT2YYr2ZErFDNFNYvE2RAhcyHTPV1Uao+nMykxGV8wXhnE8GPl21vOWBnLl5TrY6rBt842SiArLiuqIeM6nW2oZkeuUMxlqlEkXokiZKap1B5PZ1Ki0nOPd/+HH2vX93ay6/s7yx4rY/mScn1MNfjW2UYJZMVlRTVkXKe7DdXoyBUKxfRzJYqQmaZSezydSYlKzz3e/R9+LAQVj5WxfEk5PqYafOtsowSy4rKiGjKu1dAGhWImudJqEWeLK1GEzDSTscfTlZQo59zFc2m8+z/8WAC77t45LWOlnPk82vnvvOP2ca/r1z9/kOtueNmctREiCILgUjdiNunt7Z3yMc6dO0dLS0tF3+nPuDx5doCIqU/5/HOBzq4uGurrL3UzqhrVR+Wh+mliZrOP5nIZwFwYS5c6+JgLfXSpma4+mmpd8XSMlcnWSY/3naH3s5iWVbaNSDo+Vy9IoGtiUtcyVWpqakr+rV2SViguGQf37eXOO27n4L69l7opijmAGi+K4ZQuAzvs27P7UjfpikXNz7nNaHNp3aat3PKBD5Wd6S73s2ONlcnM54m+M/S+P6dthCqxuIKYy5kfxeyjxotiNFQZwMxRyZxT83N2Kc7Wti5cMi3HnK25NN5YmUwbJvpO4f3s3LYRSiBfQczWBpDLofZIoTYMKUZH1djPHJXMuctpfl7qspKJGC4wP/OFO7ju+hunfNzZmkvjjZXJ1miP9538+3NdByiBfAUxG9Fqce3Rzv93h8pqzGEStXUITaChzeksgGL6mYknq1S7SJoNKrHRl0sm/wffuZMv/M2n8X0fq4J61dlkuMA8+MRj0yKQYXaeUjTRWJlMGyb6zrpNW2lduGRO17MrgXwFMRvR6mi1R9Vm7OYisy0eDu7by+1/fyu+56PpGh/65K3qPipmDFUuIKnERl8OmfyD+/byhb/5NJ7rAuBks1XpM4YLzHWbt13qJpVFsd+YibFyuQe1SiBfYYwW9U3nIK/G2qO5PokvhXjIBzpB4BMEgr6e7hk9n+LKZrrKBeb6XIfKsnlz/Rnp+/bsxvf8wr+FplWFzxjO8GBkumqQZ5LR/MYtH/jQjB5/Lo/F0VAC+Qpnugd5tdUezdVJXOzoL0Wt4eWyfKsYSTWKyOkYb3N1rl/JbNpxLZZtkc1m0TSNP/7030zrPZvOsV4cjHR2dU1H86aV4dc6k37j4L69fPX228hmswS+X3L8mdjMeKlQAvkKZzom0fCJWU21R3NxI8twR/+hT94662L1cli+rZRqFI7TzWyKyEr6czrG22R+1ncu3O/ZaOelEjUzaWeupIBptGudqSRH/lzZTJYg8NG0oT0qM7WZ8VKhBPIVzlQnUbUbobmYCR3u6Pt6uiv6BaPpYq4v31ZCtY/j6WK2Shkm059THW+VbCqdK/d7Ntp5qUXNTNmZuZgcmSyjXestH/jQjAQfxeV3QtPYes2LefeHPsa6TVu5847bZ2wz46VACeQrnMlE8Jd6+b8S5mImdDRRn3cic8WxzzWqaRzPZMZwuksZdEPnVb/1Fl75+jeVtHW2+7PSTaXVdL/HYzbaOZNPaLiUzMXkSDmMZh/GutaZCD6Gnysvjkd7b65sZhwLJZAVFU2imVj+n+klxLmWCR1P1M8Vxz7XqBZnOtMB0LpNW/nQJ2/loR/fw/W/cfOUSxn8rMcPvnMnu+7eOeUfH5gKlW4qrZb7PRGz0c7LTdTkmYvJkYkYyz7M5rWOd665uJlxPJRAVlTERMv/k6lfHi64+3q6LxuDVsx4gcBoddyjXf9ccexzpb4zT7U405kOgPKZVifrcODxPSxdubri4+fHYDbjEwQBQRCMeKTjbPdnpfOiWu73RJTbzqnMt8tN1BQz2eTIdNqv6TzWRD/4MVvjeKxzDb/WatzMWAlKICsqYrzl/8lQPOGz2YAv/M2nCfzgsisfGC3yzzuisbICoxnWueDY52oZSDWsNMx0ADQdAjw/Bnd9byf3fu87eJ43bT8+MFkmMy8qbd9UhE653y3+HFD4e7THc+U/m6itKwQ9k51vxX0xE6JmLgXM02m/ptsWjmUfxurf2ez3g/v28sfvfguu42CYJl/46nfmfLClBPIcxw8CfnK4m90dvSysCaFrAoA3rmsiZunTfr7pFmjFE14Ige/7Ix4bMxYXBx2O96ToSro8dLyHiKnxu5tauTDo0JawmBe3p9S26WQ0YfKbOeMx2nvAmIZ1poVHEATcf7ibjt40v7GingU1oYq+P1fLQIIg4ND5JL1pl63tcWxDm/U2zHQANF0CPD8GX/mGN41oa9r1ebijl0W1IZbUhaet7RM5+5mcF5UKnYGsxwvdaVY1RXj2wONlfXd4bTeA53qjfqf4swjwPQ9gRufbZMXWZEXiofODfPmxMxia4APb21hSH0ITYiqXMGb7dn1vJwh45evfNK32a6rH6ku7/OjZTjKezzULarAWrOEdn/hb9v/k7kKJVPFTJTRdPirvtW+5ZVTBuvaqLQw6PjFLZyDrkXI8mqLWpK5tOLvu3omTzQLyB1923b2Td334z0b97MneNCnXZ3l9GDED93S6UAK5Ssi4Pt9/+iJ9GZc3rG2iIWJO+J0gCLjtlx388NnOEe/94ngPt7925Yw4+ck6ogNnBzh0fpAXLaopiK5iQVDIhDjOmM7b8wMeO9XH3U9f5Ncn+ka8/+PDsvbQ1AV/ct0Cbl7VQBAEY07CjOvj+gHnBrLc81wnbXGb3rTLT492s74lynu3tRXuRU/KoTPpsrQ+hB+AFwSYmuBYd5r6sIFtaOw/O8Di2jCt8VKjM94O+8KSdTaAxVt41F5Dx56nyzKsFwazpByflpg1qXsdBAHPd6Z44Eg3vz7RC0jn3p2Sv2x1z3OdfOWNa0iEyjcVlYiwyTpdPwjQhCAIAi4mHRoj5qQN7c+OdvONA+d47mKq8NrV8xPc+vLFhAwNP4CjXSmaYha1ZfSDHwQAk3bmxRsyb7v1UwXHXemcG23cT7cAH24Ljnen+Pi9R7iYdACI2zrb2uK0J2zeurGZqKVPql9mYlWikrFXjtBJZj1+cqSbM/0ZvvPkeTw5DLgqOE12ybUEpw/hDFwccy6X1HY7PuTGUdYR7NrzFMnGFaxviXK4M8VP9+wvfLYYXdcnDHoqnXP9GZcn9+/n1o++F2fhVvR7HuLzn/kfbNhcXv8/tOdxMte+EzIDZJ/4QVkicf+ZAT5x32EyuU585OSQrX/D2kZetrSOja2xss4/HnkRmRd29373O3zkzz876SDyVF+Gb+4/h6EJ3rm5teKA1A8Cfnq0m2cvJHnwaE9hHgF89fGzub9WwDUfZ9+df8uC5av5r8eOkVn/KnjqJ3jA5//+r1myYjV33bMLxwcWb8VZup3/+5N9nDlkF45pagLHD3jRwhretaUVxwtY1RTB0Maen64f8KNnO7kwkOXVqxtKk1DBsA8P/zfgeD5/9eBxfvlCb+G1ZfVh2uIWf3hNOzWhiXXPbCKCIBjlMi5fent7J/7QBJw7d46WlpaKvvP1J85wx57T1IUNtrUnaIiYCODfHjuNbWg8cyFZ+Gxz1OSON6yiNmwymPU4cHaAlpjF0vowB88P8t2DF+hOufSkXY50pcY+KfCuza28YW0jdeGpD7xiw7r2qi3jCpLOri4a6ut55kKSnx/rJusF3HXwQmHONEdNbrt5BTFbZ09HH5qAlyyu5fBTT4ww3kEQ8OS5QR4/3c99z3VxdiBbcduvW5jgt9Y2MS9u0Rq38fyAb+w/x3/uO1twZKORsHXeflULB88N8osXyh87i2pDzItb3LCklgWDx/nT946M8PN99PUH97Jz/2l64/NHHuj8EfSTB9C3vYF5iTBXL0iQcX1sXbDnVD/Hu9OFj9aFDFriFi0x+V9r0f8X1YUYzHpkPJ/mqIUfBHzv0EW+e+gCHb2ZCa/n0y9dxCuWl/9c63Kc8HiiZ/hzWRvq6/H8ANcP+OLuk/z4cBeWrjGQlQJhXXOU225eXlGQEAQB/3fPab795PkxPxO1dAZz59AEfO5Vy9nSFgfgTH+G5y6muKo1yu6OPs4PZKkNGXxt31k6ky7rm6OsbYlSGzIYyHoc6UzRGrd428aWEQHUaH1T7LhNy+Ijf/7ZMevz82Mpz7cOnOM/953D0gXv29bGy5fVjegb1w9IOR66Jrj/+S58YFt7HN+HpOMRMjVcP6ApapH1fA5fTLGhNUrcHgoSsp5PEIBtaDzfmeTj9x6hN+2Oe21v3dDMB69uH/czxf2wb89uzp05xQ//65v4voem67z3wx8fUXZQzpjL99PBfXv5kw99EGfVS9G8NDf89rt5ohtimW5uWVfL8lVraEvYREy9cOyPved3CsF78Vh1/YC7D13g3x47Q9r1Rz1vgd6z/OG2ZlavWsV9z3XRGDX5rZx9zp8j43pgReHVfwZNSyA0jhBM9UHnCbjnNsRgJ6998y187Na/A6QYATB1jVN9Gb6x/xz9XRd5+P97H25f15iBRmdXF4maWrwAHjzSzT/+4sQIrdMU9POlW66lPpc88IOA/Y8/zpceP0861kJLXQ2GJnB8nz0n+wvf0449xu/ftIUFS5azriXKyd4MyxrChHJjszvl8N9PXWDnwQsT9uV8fZANznHql6xhbQ0c31d50HfnHbfz7//8D+RlkBCC1775FvnmOIHp8PkGMin1Fz85VvLaDv84O2rSZHo72bD9WjZsKvWbni/Pq2uCM/0Z3vbtQ2W3faZ4xbI66sMGDx7toSFisrguRGfS4bFT/SM+2xw12dga452bW+k/fnBExvqo1szBbp/HT/dzftAZ5Wyl/M+XLuJjL15YWAmfbWpqakr+rQTyJKhUIB84O8D1dzxe0Tm2z4/z9o0t/Mk9hytt3qi8aX0T29sTtCUsnrmQ5Kp5MRwv4HRfho2tsYLz7Eo6/PhwF7ahIYAfPNNJS8ykyevhh9+/G0/oiIUbCbUs4hUrGvnA9raCw9y7dy9P7X2YbTuuoaF9Mf+26xEeSLVCmRmjVyyr43++dFGJAelNu/zpvYc53Dl+IFD1HHsMnvghWsf+gnPv7Opi37PH+OsDPuizt5izsMbmQtIh5UzgzIcRs3Q+dcMiXrSoZsR7adcvOLk8Z/uz9GddWmMWPzvWg6kJWvqPc2ivdGQ79xzmp8d6oONJ2PcD3v+RP+OWD3yoRDgblsVnPv8lzjWu538/cgrXH99cfWGLz6YtYzvI/ozLP+06wNPn+khZCfqcyg1xS9BLxkrQM4nvAqxsCPOlN6ziVF+Wnx/v5khnCtcP6Mt4dCUdzg86aE6K5MXT4Llw9nnYsxM93TNqff7BfXsLv1y5euMW/uEXJ9j1/Mg6UlMLWO6d5W0bW2heuppP3HeEvow34nPjkbB1Ns2LYeka82tsdj51gYznMz9hc6woWJuIP9jRxu9sHN+GjlpykKt3Hq/kwLBMPj9GhrkQlN5xO1++2ArNy8Y8f8jQuH5xDa9a2cCmeTEO7X+cfXt2s3rrtZyJLqI37TKQ9fjmgbEDrHJ55Yp6Xra0lrseO8IjnZMUBwMXWdbawI2r23ihJ80vjvdi6YJPXr+IOx49zfGeovuT6oMjj/CutXF27NhRWMHr6+nGXLyRb1+sozM5fqAznbx1oU9Q08rdhy4UssYVkepF7P4WmhXir//wHVy3Q957zw948twAtSGDxXXhQhDlLb+Wc2YTdZkL3PmrZwjq2uGJHyL6zkLrKoLTz2C88Bj//B/fYPXGLRzuStEWtwibOid60kT9JJ1+iLufvkhLzOL8QJb7Rplzw9nQEuX1axq5mHSoCxt8/YlznOybOEExF6gxAyK9J9nQ+wSvf+1rGGhYzv/YdbTi43z3lg3cuKxuBlo4MUogXwKBfM9Dj/DOv/8K7jVvn/K5Z4q73r6eg+cHR0TA5aAJKOgWN4s4d5igfe2U2hML0iyosXm6r3rrkyZFspdt8xO8fP0itjbAX9+1mydFedm0amHzvBjrmqOcHchyqi/D07nVj83zYvzlyxajCcEdj57mR6OU/ozJ499n3dXXs2XdKi7c+yV2fesrBIs2w00fgnhjRe1bkwior6slZumsbY6yqTXGIyf7+N+PnKroOFXJnp2I3Xdy3Yc/R/3aHawILnD7H78dp3UNYt3L8Ve++FK3sCJ+a20jz19MYToD1D59H3GvnxVr1vNkDxxKRzj16E8JwnFoW81V0TRX1bi0rN1BeN5S2mtsLF3w6Ml+/vvnj3IuiEE4Ab5Hu+jjS++6gZilF/ZpdPSmWVMjGMDmf/38hYra+ZJFNfzFyxZjaILf/a9DnO6rfBWrqnl+N+z6Z6hrg1tuu9StmTI3Lqnl6TPdnE2X+g/tqR/jx5tg0eZL1DLFRLxuTSNfe/PU9MNkUQL5Egjk2267jc8OzOCzJbMpOHcYaudVLCbmIpYuuHFpHfuOnOKcHwbfw3joy7S+6v2cTF1mgnoWMDTBjvlx6sMmvz7RS0/aZYJErUIxM3SegFgj2JFpOdyb1jfxw2c6Jy59UFQdNSGDlOORnUxG+TKjLnmG7si8aT/u61Y38v1nLk77cadCU9Rk34d3EJ2BhwxMxHCBfFlu0rvvvvv46Ec/iud5vO997+OTn/zkJW3Pi1/8Yriv/OXHctlUF3Dgzs/hH34E3CwYJtfd8AoaGhrYe7KH09d8YNrPeal58wKfd9xwFR3P7Odnt78Los0IJ8U127fQevYnPHC8n+7TL8CK62D51QCsborQFDErqiH+3ehRUv097IltpiM5tug23DTt6ZOcjS0hQ9GE9hzQp2nDQbofQvHR3+s7Dw9/G+vIr/j0//4GNQtXcW4gy9mBLOcGspzszbD/7MCYh25P2Pzjby6jLSE3W9z97Tt56OFdtK7dyr2dUfzF1f/0ielgYSTAu9jB6Yd2Eiy9GpoW0xCP0vX4/QSrb4BE86Vu4pxhc9DB8qjHXb86gHf0MUj2wjv+ubwvNyyc1rbsfOrCtB6vLDKDcl4+83OsJ+9l+598kV9lpm/81Igs/b6OL2ZfQEyKn/wfeMUHy/54VDj83tWLec3qRkKGRtLxePrAPh744fe49wwE2944g42dGjZeqR+YLM/+AtGxn+C53ZDupxtAaHJ+bH619G9j+YRy6OxA+/V/siLxeh54z9t521d3c96fvifOTIUttd4lEcejcdllkD3PY+XKldx///3Mnz+f7du3881vfpO1a2XK/lJkkD/zmc/wz1/+T3jjX0HjQsTZ56g5/DNETRPdh/bA6afBDLFk64tpX7aaAy3X0xeMvonHcgZ4VaKL4PmHef7pp3j6yX1jn1hosOxqqG2F+gVoa27Any7RNhn6L8Cjd8HJg+jtq2lduZFTCypYEn7oKzR1PMw7P/hR+nq6+fK/fG7ELu4S4k0w2E04ZHHTa99Iy6pN/NupBNS0woVjhGyLNCbmvrtJxBJ0dnfBYDecOoRI94MQmKEw2975CX7dH4doHcQaho7/o8/Bsw/Jv2vnwaZXw2APPPF9hOdQ/5ZP09m+vfzrO7Efjj6KPXiBzLH90LZa1p+mizZHxOohXCP7UuiQkuNZCMH7PvqJko1L+Xq73fZannJGqek6f4Q/WOri9V0kUVvH/T8mFmmeAAAgAElEQVT4Lgf2PjLyc6/6GKx5afnXMVt0n4ILx2HliyZ9iNjx3dxYn+FHX/nnwqOyRiLglR+B1ddDfyccuBeu/73yTvD8r+Gp+2H1DRP2oXCzvKTr5zSGBPf86IekzQT8xoch0VTRNY0gPQCBL8sPxsNz4esfRfScYvsb38uebBNkk7B0x/gbxQAySfCysPtbiCfvk49sLO7Peavgbf84teuYKXrPwZ0fA9+Fd36xEAxpHQfwF2ws7xgXX4CTT8FP/032dRGmaWG0LiXbtgHhu2imRXbbm8Go8PFa5w7DkT3w+N3QtgZe8UdTHxuV0HMWujpg8RbQyhAwrkPk3r8l+fzj0j5u/E2Yvx5aV4z9neOPk/j1f/D+P/hDnj/0FF2dFzhzqoMjzwzbvLbhlXDTH03teqaZRO9x+r71GXDSsPxacDJw7dugsfygT9v7Xfyff5VRHwExHN2EhgVQ0wJrXw7Ldoz8TCYJyW74xddgoFOOoWHjc+O2qznwxF5YvBV6zoAdhc2vkf7u5FMywD22V86PuvlosTqC1TcQLN5S9nXxxA+hs0P6uJ4zpdcXisO6l0sb0XEA49mfc8/3v8eOHaNczwxz2ZdY7N69m1tvvZVdu3YB8Hd/J3f0fupTnwJmXyB/9atf5Y//+I+HXgjFpMMaD02HBRtgyTZYuBGe/hnsv09udnMycqBOBjsKy6+RDg9gxSiPnHlhHzz3Kzj6qJxIbhbW3ghbXicHdv8FaeSO7YVH/1sayxXXge9DqkcahmJHnB6Ab/wp+B70XxwxOTHDsOW18KLfLX39iR/K5daGBXIn98mDsPubhe+/7b0f5K47v0Imkyk8DmlChJCftaMyy1PWV4ScypOZJoYlndjaG8f/XCYJT3wfHvmOFCmTQAjB7Xd+t2TjVv7ZmIFuwtVvlo7/wH1SYOsmPP9rROABgmD4fSk9ujS+239biqD+TtYtXcChh39GkGiWY2O2OPkUHH0MHvsuQ0ZWQNNiOU7cLETr4cb3jX+cPTvh13fKcVk2YuicrSthzQ3Qtlb25cXjMtDtPSs3Hbpj1KgKTQY5zcvACsv5tniL3KT53K9GjkvDgpe+Hza+cuLmJXvkMUJxeZxHvg0D+Y1DAqK1oFuw47dloNd9WtqZ5qVw+hn48RelABqOGYKFV0kR2HtWOk5Nl6Kn66QMKof3z1jXftWr4GW/P/G1zBbJXvjmx6VIBnlvVrwo58z3wTv+RY6t8fjmJ+DMM5Wd14pImxKKSrG3dLvMOj/7C3kfa9vgwjE4+9z4x9EMqG+XtjnWCE2LoOMpOZ7MkDyWGQbTlhvzGhfB6/584mAJ4PxR+NYnpE0azT5YETl+4o1w6pD0DS0rpAhLDzDmWLDCUuB3dsCL3zEUON7/rzKYHNcWDWPRZhms1rbK650sZ5+HgYvSf1XKHe+WfZQa+dhRdBPqF0D3Sdlff/C1off2fk/O15UvkvPpse9KHzmXqGmVyYP568f+zM++LIO6Cnj1q1/NnXfeOcXGVc5lL5B37tzJfffdx7//+78D8PWvf51HHnmE22+/HZh9gfzGN76RBx98cMrnnBEitXDNW2H9TfD8r2m58CTnHrt/aseMNcK2N0jjf/oQvLBfZqHKobZNitjuiTdTbb/uet79oY9x+9/dOn4WfYoITSPwp1i/aNgyIn/Ju+DEAdj3Q6ibD+EYnHpavuZM7SkdrW3z+dZPdhf+fecdt0+cYZ8C7QsXc+rEcfkPOwqv/RS0rZLXWsyPPidFXqQWDj0onZibhUiNFGN17VJ8t62RQnEsDj0Iv/xakeCbgLUvg98sCkzv+4IUjZkBOHmIsjI01YRhySzR1tfJPhvO+aNS6E0ywJp9hAxoXvNnMmCbKENdzFP3w49vl+Js5YtgsEsKi9/4sBTh43HyKWmbXtgnx9TABBtJF14Fr/nE6MvZu/4Fnv+V3AMy12heBr/5JyOzm+ePwl23yiDo4guVidVLTawBtufKL84fk4FgXTu4GZlYsiLwwhMyaHCzsP8eKdLNkMz6FhDSD9lRuQLb1QGrXlKaCDj+hAyIH7tr7GB4NCK1UtSffa4sPzensKOwaJOcK2eelSufkxT8W7du5YEHHpjmBk7MZS+Q/+u//otdu3aVCOQ9e/bwxS9+ESgVyOfOnZvUObq6uqivL++ZsN/+9rf5y7/8y4rPITQNTQh8P5gguzc9aLrOB/70z/nSP/5tRedbsWYDzz/95Ay2bHT+4BN/wU2vexPPPrWfv/ij38Mbc3l8CE3TKxKMQghe//Z38/1v/j/8qYrkGSbfH3mefWo/t370/ThZZ9z7qWkaQcC4nxktSHjDLb/HD771tbL6vWLsqCyP0TSZoSzHAQmBJgRC0/DcmRWJum7w/j/9FN+78/9x9tSJir8vhIZhGLiuO7m5LTSZNaxtk/8/f0wuXZZ5LE3Xxy4nyT9icQpuYfHyVXQcO4JXrlgXGgQ+YvEmNmzaxoHvfxXa1wK51Z6OJ2V7IrUygz3RdRoWNC6W4mfDTbDmRvm9PTvh/JHKL8iwZBbQzUox7GZKy57mOpoOiRaZQa1E7M0U+ZU+xRXLZz/7Wd761rfOyrmKk52X/Sa9+fPn09ExtEx48uRJ2traRv1spT/2MZnvfuQjHyGRSHDX9+7m2ImTnH7hGIZlUlffwPLV6wiHIxw68ARrN24mHImCgBVr1hd+EABg1/d20tUpN5vUNzaxYs16nj/0VOGz+VotgGOHn6Xz/HnscAgRCBpaWlh31ZbCMX/5wC4OP3OImoZ62uYvoreriwVLlvK2936QdZu2smHTVr70T3/HiaOHaWhpYV77ghHnjMbiHH76INf/xs289i238KV/+l88dP+9hWvo6rxAJJ6goaGRw08fpLa+gZ6uTpavWUcsnuCXD+zi6HPPsHHbDpavXsc9d32bcCTChs3befLxR+nqvICu66xYuwHbttn36MMITaOppZVEopabf/t3eO1b5MPcr7v+Rv7l6//Nru/t5PjR50uu5x8+/We8cPQwsXicl938Ol75+jdx9LlnuOe/v0VDcwuZdIoDex8lGo+zbOVqDh14gkw6jWmarFi7gd//2KdYt2krN7369Xzpn/6OQwcex3NdDNPEtkMsXbWGm17zWzx/6CmOH32e86dPgYDmee0kamqpb2wiNTjILx7ches4RONxBnp78TyP2roGdtzwMjZs2sr9P/guJ44eJpqI4zku2WwGy7aJxhNYpsX8RUt4Ltf3b3rHewHY+bUv09/XQ7ymlje9472F/shz3fU38vmvfLvwfNNHHvopj/76IZxshmg8gQCufsmNvOHt7yp8Jj+O6hubiMbi7Nuzm4bmFt723g9y9Lln2Pm1Lxfa8Nq33MJNr3493/z3/0PnhXPEEglOd5ygbcFCBvr6yDpZ3KzDgiVLufolN5bUE/Z1d+N5Lt2dnei6TiyRYPt113PuzGmOPvc0sUSCG3/zVQz293P86POcPtmBoWtE4wlOHj9WuAbPdWlbsJDX/847S+bLvj27+eUDu3j24JP4gY+uaaxcu4GGphY6L5wr9Gcmk2L56nWF9uXHj2GZDPb1YYfDXPfSVzDY318y//I/HvA77/4AP/jOndzx+b9noK+3INLtcIRUcpDA99E0jZff/PrCvMh/P9/OfO13fr6tu2pLYX4h4HTHCa6/6VUcfuYg+/Y8TE1DPU42S29nB3R2ED4TQdcNIi2tvPzVr2ewv5+DBx6n45gUgstWriEWTxTm4PW/cTNLV65m357dHD/8HHt+9XOSgwMEfsDmq6/l3X/0sZLxMHy+L125ms/8yR/QeeE8jU0thf0Axw8/x6EDT3D9Ta/i9//0z0t+vjcai7Pr7p30dHUihKCuqYloJM6CJUtZsHhpyThbt2krX2ow+f53/rMwF6N1CdyMQyDSpEyTWE0Nr3zdbxOLJzh++Dl+8eAusuk0mmEQDkfwXJf0+cMIIWjtPEBo72FeOPI8nusSjkRZvnY9nRfOceHMGWI1NWy9+kUjxsP9P/guZ06e4BWveQMA9//wu9jxEKlBwUB/FmwbwzBxXQfLtlmwaCkXzp/FDoVIJGpJDg5y9lQH0XicdCqFaVt4jovv+1i2jaZp9HZ3s3LtejbtuJZ77vo2uq4zf/FSEjW1BVt+9mQHQRBg2iE0ATV19WzYvJ2erk4Q8OQTj+E6Di1t7SxZvqowvxYvX8GRZ58mOTjIhi3bsO0wh585SDabIZ1K4ToOmqGTSaeBANF3FqFphBMJlq9ez9mTJxjo7yMUjTDY14fneQRBgO95mLaN73oYlkUoFMJxHGmv16zj/JkznDxxDM91C2O/p7uTA4/tYenK1WSzWTqOHSFA/upfy7x2Ll44i+95rFi7gZte81v09XSX2KO+3h5OHj+K7/vMa1/AieNHcLJZDMMknUoSBAGr11/Fhz51a4k9eu7QUyQHBwo/tpMnFk/g+z7ZTIbG5hZ0w6BtwULOnzlDJpOiv6+X5OAgjU0tLF6+ggN7H8UKhWhunYebdaiprycUiZJODtLb1YXrOWTTGTZtv4ZUMsmhA48z0N+HZdu89s230LZgEff897cwbZvOC+c4d+oUpm2xftNWBvr66OvroevCeXTD4NrrX865M6dLxl7ety5evpKB/j523b2Tgb4+EvV1NDXJX+vL20onkymMp97u0VfbNF1n3vwFLFm+qmDT9vziZ5w9fRLDMGlftBgC6Dh+FN3QWbh0OfPaFwBw5lQHp3Mrh5quMzggy0V1XScciWBZNj1dXTQ0NXPr5/8PT+7by8/v/QENzS0FrdPX20N/bw+6rhcSLJqmgRBEY3H+6jOf4T3vKXOPxwxz2WWQXddl5cqVPPDAA7S3t7N9+3a+8Y1vsG7dOuDS/ZJef8blybMDhV9mutwZ7ZeGFKWoPioP1U8To/qoPFQ/TYzqo4lRfVQelfZT0vG5ekGian5J77LLIBuGwe23384rX/lKPM/jPe95T0EcKxQKhUKhUCgUE3HZCWSAm2++mZtvvvlSN0OhUCgUCoVCMQeZYMuvQqFQKBQKhUJxZaEEskKhUCgUCoVCUYQSyAqFQqFQKBQKRRFKICsUCoVCoVAoFEUogaxQKBQKhUKhUBShBLJCoVAoFAqFQlGEEsgKhUKhUCgUCkURSiArFAqFQqFQKBRFKIGsUCgUCoVCoVAUoQSyQqFQKBQKhUJRhBLICoVCoVAoFApFEUogKxQKhUKhUCgURSiBrFAoFAqFQqFQFKEEskKhUCgUCoVCUYQSyAqFQqFQKBQKRRFKICsUCoVCoVAoFEUogaxQKBQKhUKhUBShBLJCoVAoFAqFQlGEEsgKhUKhUCgUCkURSiArFAqFQqFQKBRFKIGsUCgUCoVCoVAUoQSyQqFQKBQKhUJRhBLICoVCoVAoFApFEUogKxQKhUKhUCgURSiBrFAoFAqFQqFQFKEEskKhUBTRm3YvdRMUCoXisqYvU/12VglkhWIOc2YgQ9r1L3UzLil+EBAEwbQdL+tP37EUisuNjOtzdiA7a+dzPH9a57diJK4f4Hiz60eyXvXfUyWQL0Nme6BfSgayHknHm9IxemYoYziY9chUKF570i5+Jc4gmP77PdecUdLxSU1TkNDRm8ZXAnna6U45l7oJimlkPLs23QF7yvVxrrA5OZD1CnbYHXbtWc+nM1nefMp/N5ggiZD1/FlNDMwVjaIEcpXRk3anLFCOdqcBSDreiMlVLVQkAscg7fk0xyzyRxooEsoD2aG/J5qMxX1UiaCd6D71Z7yKhVtn0iHfnFN9mcLr+Xs6HFPXmO5bfDFZ/UtfxWhCECCm5VhJx8c2pscsni66f5cbg9nyg9IgCOhMTt2ulcPAJILSPEEQTPq75TDo+BUf/4Xu9Li20vODirO5k7G9rh8UvqcJOedGIwgCOnpK2+z5AWf6M2X5otGEnCZERTZuOlaUXD+g8xIGdV4QFDKsg45H1vPpz8g5l3bLs3ZZz+doV5qelEN3yqUrlwgarW+sKdi8cgMix/MLY+BodxpvDiRilECeRZwylhRilk6qjM9NZGxSjocXSONUjRzpSk3p+0EQYOuC+TU2ICdf8bXqmiDpePhBQH927CW6rOdjagLH88l4Psd7Rheiec70D4meztRIIXlxcMioatrYIrp7WCCUd86aAAFkPH+Y4QlGvZe6JhjDV41KcgJh43g+YXPogEnHmwMlHAGCysZ53xirBrYh0Ib152QdZX/W49mLybJF0UwLtOnkVF+mbKGV8gKits6xMYK8csgUOdeJmKzFc/yA0/2TLx0YyHqjBuMDOTvk+eVfQ55s7nhjjdeBrFdRsNKbdktsb3924mDY9QO6Uk7J2NTHUA7FNvFod4ogkMK6L+PRnXYn9luuD6JUdEmBPPS97pTD2dx9yovH4vfTbnkrSuMJ6Yzrk3WHfEoQBFNeqayEYhuUcX0yXkDW8wsB4HhXl8q10/UDLAPODTqFz58fzHJsmI9LOT4tUatEnyQdr+ws9clREgGjrYR2pV0GMvL1iKmhC8GZ/iwXc+cZrHAszwZKIM8Snh+Q8WS0P9xInOzLkHSlEFlUF0KfQPBkXJnlEkIKJDcIRhyzJ+2RcWdvsPVl3HHF+HBDJIpi4JTj0V9mwX5+A1XK9VnVGEET8kiOD/NiNp4f0JN2Sdg6EVPjSFeaVY0RejMjs+nSCLjUho2cAQoK7XL9oMTIZj2f3rTLQHbotYipkRrWx8ViyjZ0ii+7uA98Pyhx5I4fMOB4CCGlnqVrhE2t0JaQoY2aRdbExIIgKBofHRNkNd0AmqIWGc9nMOvR0ZthcJKO4XjP+EHQ2f4sSUca/KTrTXie7LAgaIixJ8xYY/LcYKnxz/dPyNALr+VXIfoy3qjHSbkePSlnhCMoNvKmLsoWkmm3cgE13rHygsb1p55RG16GFDAySE86cik85ZS6b1MThA2N4vtU6ZiS9nN80ZO/Xt8PSlaQKjlHfvWgL+1OWBZyfjBb+F4QBOiaIG8eXD8obEJK50qAsl5QUTBbzNmB0rYczYlcLwiwdMGA4xXaMZiVf/em3REbTi8kHQSCvpxYzbgyKBvP/jqeDNwdf0iwa0LQnRv7wzPYPnIljKD0YqXQG/8eGppgc1uCZfVhMrnaY02Tq3H58dabcUm5sgShN+1yrDtN0vHpq/CeXxh0SBbZ+GLBnB/Z+fZ6weg1s54f4Pjy3ubn+bMXk5wpI9Aab4x6fkDalVljTQhCukZTzMQ2ZJ+mRpk/nh/Qn/EYzM0/zw+wdE2usAVy9qUdH0MIskV13bouCJtaQSAHQYDrDQXr5wdlcNQ1ynzoSTvYwwRLR286V9Msj3cx6chrDaTddbyA2rBJyNRwfb/g/5OuXxhf1YISyLNE2vVJ2DqDWa9ETKZcj9aYxZrGKImQQV3YpC5kjuvQAmBdS5Sr5sXZ0BpjfsIekfmIWjphUyfrSUMdBAHJnJgbbyAGw8S24/n0Zsavi3X9AEMbO4eXdDwsQ5OCNDfJtNzIS7k+XSmXdFF7upLOiOg1Pzmd3GaCeXGbiGXkIm2BbQia4ya9GZdVjRHSrk9D1CJiarQlLK5ekMDSBVnfz/WBx/KGCGFTELONQvYunz3Nuj7F0tPNORxLF2RcaVxqwwYCIQ11kYORfe3j+T5mzuFmXJ/+rDTyPWkXTUDGG8oKH+/OkHF9KYS70oQMgSYEnh/kBLKOOcwQJbNezvCN73WTblCW4cl4Pq25kpWYpbO0IQzA/ERo3MzmWCUsY8VnA1mPpDu0bNiZdNCQQcFY7YKhIDNPKicohZBLjknXKzhOkPdsrJWK4gxNNhcMANSEjMLrZweyBEFAwtZH9J/MaEJPxqMv49GfdWX9chCUZFRChjbmcnRxfwxkPQIgEdKlyMk5uYky/iDny5Hu0sDnRE+Gjt5MTnSPnVHrLcr0pF2/pEypmHMDQ2KwJ+0SMrQRwsg2BNva46xoDBeybZ4fUBc22NASxdTlOYJgpIgejRO9pUv12jjjPAiCwupPOTWanh/kypmCQgDhAVZujjl+MG7dqx8E9KXlNeYFQMjQSOfGoOdLEZAXya4foOcyo2eLbPVoImnA8ejoTeP5AZombcDwVQ0p2Hw0Ie2Ehiw58wOZcDF0QUPEHFGDamgCXZNCJS+Ki5fvi8lnAf1cv3enHE71ZejNeOhCBn9ZLyis1J0fyJLMehiawNA1DL00eE/YOq1xuyCgislnmmOWDFCbYhYrGiIMZD3qQgYNEZPOpIPj+TSELcKmjpNLHBiaIOMGRAxRsFNRUx/hQ4tt2Kn+DP25tub7/MKgUzJPDG3IsubvxXAyvs+KxgjzEhZpx2fQkcdsipklYzef+c3bEdcPcH25Spj1RgawuhCsb40RtjQMDTa3x4mYOi0xm8aogalrhespPmZ3ysHQ8uUMYGoaUUsjkxsbiZBBImTQl/FyPiqgMWKSCBnUhg3O9mc5N+AghLSv6Zwf8wKZ0OnPuBzvSZF0pM0ayPg0Rq1CoiiZ9QqBcr6EwvOln0u5ProQeEFA3NJJWEZh/Bq6hoZM+FUTSiDPEi0xi+aYiaEJ6sLSCQfB0ASvi5isbY5iaIJ5Casksi0mCAJqQnqJ0027PvkSItcPaE/YREyNlpiFZeTOJ6A1JjODMnswejtTuaWcrpQ0RknHZ0tbvOBEulLOiGya4/klwiJP3knahsa6lhhXzYvRGDEBmYHIeAFtCQtdE5ja0FC8kJQ1U/lJlxcwjudLgyZgUV2ocJyAgLhlELdkG5pjFglbJ2xouRIEQdjU2dAaozZkMJD1qLENmmPy3JYuSmqwgly4vaw+XAgqdCGPkwjphEyNlBtgCI2YpZN2ZeapJ+0U+nBDS5TrFtVSE9Jx/YCsH2BqgmPdadKuR03YIKwLwpZG2vPRNGnUY5ZO2JRGw9QFXSm34FxNTZDOLbP1pB26clmgsKGNK4B1ATFbOp64LduTv4dJxyflSNFiaoLFdSHChsaa5igRU8PSBQtr7THLdVKuz6AzMvMpHcro7ck7dJCZIdPQiJgGcVsf8VnH8wuZm7Cpo4u8c5FCbSDjoiHvTcjQ2TQvXgii+jNuSaYz5fqFMVWsxQNgXsIiCALitk5zzALkCkG+f33kcnReDOT7xdKFXIJOujh+UFI3bumC+rA54pqKVyfyTi3r+WTcgHlxm5TjE7c1kq5PR1Epgx8MiZFiYdVf9Ldcypd9H7V1BhyP9oRNXdgocdh5wZsI6aRcOaYilkZ7wi65z/0ZryTrFyCzRlFLJ2yMvF9CCBqjFoYmM+cDjsf8mhC1YZPakEFfxiXjBUTMoe/K10aO34iplwTOYy3rA5zKiU5NyPKl4fSmXV7olQLa9QP6si5dKYfnO1P0pB25OlO04dXQBMGwDGgQBDx7MQlAV8ottCds6ggh0DVBxNAL1xY1NZY1hLENjRrbKGTzBnNlSwM5gVZcTnC0O006N5+SrkfCNjjZn8XSBSnXozvlkHQ9akMyaOtJu4jcKpIQstyqLWGxsTVWWF3yfBlwnR90CBsapq5h6uSy2kPBUz77nCcvkGTqQxCzdRI5O5+fb/ksZcr1SYR0DF1gagJb17B0rRDU1oQMNrXFmZ+w8QNwcomKjCffPzOQ5Uh3isbo0HyJWjpeAIvqwtJOGwLHDzB1uSLh5M4dNnRMHdY0xwDpd+rCJn25THoyK4PxE71DczOZlT5zXtwm5UrBL8WZYDDryeQDAk0ThUDNHE28BdJuD2Y8FtTaLKoNyyArgBO51Tc3F+CkHK9gy6SfDtEat1jTHOHisHI9kRPnW9rihfGYsA0yno9AEDG1wvX0Z73CvI/aOgnbKJSeGLpMPNi6Rm8usA3n/ExLzCrYB0uXQrwv4xG15b2LWjrdKYfasIGeWwUadHwipkHa9bmYzBIyNZbUhQDB4a4UJ/vkPLT0oeDC1jWyntQ6miYz2RvnxQiZUvtomsD1fAKkn60mlECeJYQQ2IaGqQssXaMv45FyA1Y1RkZ8Nm7LCHE0Ul5Ae02o5LUFNSHqwyZOrm61LWGzbX4CUxMsqQsRIFjZGGVJXRhNCOK2Lh1JblIWL8eamiARMhjIeMRCBjsWJIjbBkvrw2Q9GW16uWzrWLWpeUfclXJ59mKyIDiilkFd2MDNLWVGTC1nUDRCRQJVIKgJGcyvCZH2fE72ZohaOknHx9IFKxoihQBBE9IBxGxdOihT/n9FYxR7WPZOCNkPmiZYVCezo7Yug41oLnMhhOBkX4YAqAubxKyhTISuQdiQQrsr6cilKUtHCBkADebWV3Uh72HI0IhbRmEJUwiBocll/CCQDmBtc6xgnKK2jq7JEgddk6I+Hwy5geyzuKWzqNZmMOuTsA0W14XY3B6nPmIWxPxwwqZGY8Qi6/lETJ2U65HxpIhsiVvomnRU61tjCCH7RhMiV+YhVyJsQ3C0aMNQvmZ7eX2Yxog5otTkSFd6ROa0WETLrD00Rk00oCasUx82SpwYyExZxNAIAimqutNSpEYsnfqwKZeMhRRyEVO2d2VjhIwXELNlhuJETxrHkys4Ob+MLkROqHq0J+T8uZhyZOlLToBGTI1sbnVEE4LFtWE2tMZAwJqmKCFDw9RkkGTmhEFDxCyM5fx8z3gBg45XyHJmvaGMYNaTGahEyKAmpFMXNvGBupDBptYocVvndJ/MZMtgxKM/43E654hkxqg0WE7n6upjlo6pCSKWwdL6CMmc8Mp4QxsRo6aBoQlO9WUImzrRXFCQF/HxkD5ihSJuG4RMDT+QYyg9rAYU5NhOuz7b2uOF/ohYOoNZH8+HuD0032tD5qhZdjsnNPLjJpwbB6M9PzVfjmRqoiBCThdtDHOKlnyBkuX/2rCJENKWLKwN4eZEWF1YL1xXX8bFDyisIBmanB89aRdbF4XMc8zW6UzKgCdhG7QnQhiaYHVzlI3zYtSEDAG6fxsAACAASURBVLa2x7lqXowLg1la4xZhU16XDAbkeKsNmTRHLUKmzKzl+64+YqILQW3YZFObtPH5JXRTkwFvY8RCCEF/xkMIyPgB2+cnEEIGwDW2jqVrJHKiPevK8Xm4K8WZolWBkCEK/SrHihxPtiGD95ilFVYT/CBgSV0YXchkg67Jvki7PnVhI5e0MLANjcaoWVgtEgIuDGZJZn0sTaM+YhXOZ+mCTfNiBWFq6hp1YZMAMHR5zTUhA8sQrG+JErV04rZOf8YjZGr0p2VNa0dfhtP9WQxNlsUEQYAuBIbQaIiYsqY3ZxeEkGUrfqEPtFwJX0DU1EpKE0AKV1OXqq8halEXNrANaaNtQwacWV/ONzeA9oRFypEZ2fYam4W1IeK2gUCukmqaIOX4Rf5NFERj2NQKKfmwqdMUNehJu8RzvivIvx6zaE+ESLmynMLQ5IptOCdIl9WH2DY/wfKGCNcsqCnYAkPTiNkaC2tChYB1MOvTFLVoi1uYmpBjuTFC1gvk5y0ptg1NELd0NE3aVjPfL0B9xCRmy8/UhKTt0ITA1uU40gBD12QwVl36WAnk2SRkyML0toTNVfNibJ8fJ2KNzLwCLK4NIYo2K2RcmUUN/ICEXfodXRM0Rk1qwgaL6kIsrZfiL0AalZil5ZaiBYtqZYYq4/nUhOTESjlyadX1AxoiJs1Rk5qQwarGCOFcNiRmGww6PromWNsSxUdmWDNuqWPM5kS6FwQ0RAxqQwbz4nbh/dZchqwuZLCmOSrbL6RDzZd3LK6zMXWYn7DRcvkLaWACNrXFqS3KymlCZhXymY1ioW0W1fEWs709TjT3ej4Jls9s19g6C2vDuay8YFl9mFTuGg1NY2WjFI+NURNLk9FxyNTkMpWtYxtayf2JWhq9GRddyEjZ0AQhQ0bUNTmR0BAxMISGkRPqMUvH0gVhQ1779vlxDE2wsDbEqqYo82tCLKkPowmoD8tVieUNEVY3Rkm7pWLFDwKilk5T1CTjyRKOFQ0RHE86gSV1IRoiJmuaoyNKHEx96Foipo6ec8RJR5avbJ+foClm5bJJQ9/NuH5BMOZrTXvSrnzsXW6zVVvcwjY1EiFZdlQbMqkLmyPq2fwgIGFrDGQ9GqMmbXGLzqTDkroQti4QSIEQMkRheTav56wi4RIAKxojBQNs6hqWobG4LkxbwiKeEzP1EZOmqIVtyEAxZkmRFDE0akI6cdtgS1uCkClFhqlL8RM2ZcbF0DTqwzIosnSNtc1RrlmYYFWjFKhhU47J2lwZlS4Eq5uiWLpgeWMkFxjlBaVBfdhkXUuUgaxPX8ZDQ7CyMSIzgI7HxaRbEMiOJ8WIlcve6dpQn9iGPG/I1NjanihZysw7qniuLCuVE9BXL0iwpinK/BpbLo3myg5ilkFIl/X3HX1ZKcJNraRsoj5iAoJokX3Thci1QYr2rCcFf95xD7/veaS9CjB0jVN9WZJOqUjJuFKMRi0ZHOcFRTLrlzwVqHijvhBD319cGyJuGfiBHCP5DPqSulDB/qYcaX/Dpk5HX4aIqbG8QQaHhi6DWU3IFZpQLqNcfN0hQ8slPuTf+UyepWusaorSnXYLJVaGJrBNQciUn2vICcr8ezFL56p5MWI5QRjJBSu2rhGzdebFpcj0cve9MWxiGxp1YYOFtSFitl4o3woZMvura3IuhXI1rkEgs7OtcRsnFyQuqw8VgmY9Z6tChhxTvg81YZOIKRMfacdndWNE+omGyNDcRNpo25A+qSUmVxZCRn7+lCY0asMmmpA+IqRrLKoLoQmZCOnLuPRlZLlaXc4nNESkPYxaOjFbK5R41IR0TE0GAxk/QNOCQv8auoaT20DpBbJOPGpKkS8DTGmjakIGp/szJbXIIbN0FcXS5VyIWEbh3hCIgghtjtm51SK/ENyA9H+OF7CxNcaiOhuNoTKwvNCM2wbLGsKsaopganJu1ebKMvsyHmnPZ0GNzfyELeezraPrUnPoQgpkISis8JAbH0Ntl4J3QW2oEPTrmvQxrXEbPZdVbq+xWdUUocaW9z+WG9e2Ic9j6VIc27ksf2NU+hczlwXf3JYAZBmNpUvRHDFzfVVlVF+LLmOs3KDRNUF9xBwzSwyyTOCqebLuKC8617ZEWdsSHfXzy+rDLG+IsKAouyxyZQFL6sKFEojmmE1NyCiIpqznk3Sk4814Pu0Jm+aYjTFMqEgDJtsbsww2t8Vpilm0JYbq3DKeLzOabXEyuXqjja2xEqNn6RpL6sMsawgXXtdz2Zh0LkO2qS1OzDYQQj6lwtKl0wsbWsnSbOE6IbcJqBRDE6MKZFPXCg5sY2scS5OG2NAE82tCLGsIMb8mhBDSCCVygUTE1LByinpLuxTqeq40ImrpRC2DpqhZIpDjthRZkVwmKL8JTAo62bZ5cZtYTiy3xW3ClnScAsG65iimrhHSNZbVyz4TQrC6Sda9FdfV1UdMtrTHEUIUMgBp16cxmh9rcpky7fr0ph0W55zNsobIqCUyRm5ZU95zDcsQRGydre1xltaHS7J+zdGhtvRnPUKGNJK1IYOUK5cAa8MGWddnIOui5YSkhsy61oTkqsn82hCdKaeQxfQDiFsyoIjbUqDmDS/IAEcTckly/rCVFXmvBa4v50d+jOXLJpbVh5gXt2U2w9BY2Rhhfk2IxqiFH8DyhgjrWmKETOk0wqOMvZAhr7E5ZrEmJ3Rjtp4TFTkhnnMsKVfOr/qIQUvMJOX5RHNlJXbR4/rqigLAfPDbn5UbT2O50qCQqTOYW1ERQo7NxqjFykaZSTM1mZlpiAwda0tbnPUtsUJt5dC8lUF3vm+boybrW6KFfpkXt6iLyJWfqKmxfX48V14gsHJzd3VzrEQENURM2hJD2cD8UAkZgqvmxYlbOvP+//buNTaK6+wD+H/us/f12l7fsbHX2AZszB3elqihNUloCqGAcERTWpI0bfqFViVVS5MqUlNIWyISqW3UJkioqXClpgouFIOANqnSNFYCNAqoEeGSYIe4XGwgXHzZPe+HMzOetfdme+218fOToiTrvcw8e2bmmXOec9ajob7Ag4psByJGD2qfMTnJrMkGeBmILAJBl2K1I3uJytXuPmtYv9CrWW1ZlnjP62dGEi4JvO3f6g3zmx8jgXEoEoq8GkSjjKki2wFFEuHRFeQ4VYSNjgOzF1GTePKa51ZRYJSkOBQRqsh7DAcOxasDzqU8HjwZVY2Eudino9TPz51zjHpTh8xHlv5vis+68ZFEgZfOGdcOXRZR5NPAGL8JzHbIVgdCqV9Hli6jLKBb34Eq8VE7ReKlaqrEX5/n1uDSJKvUrSfMjLagQjD2IdetQRAETPFpEIxRMp/Ot9Ory1btsUOR+AiPU0F9gRu6cWyZSnwaIhEYx4MOpyryZFIdfHyZsarNdyPoVvhESkkAwKyb9myHYp3P/Q4FHuNmqdino9co75ia5YBD5cl8qU+HCH5tkEQBRR4NqizCp8sotUYQeE+3mUQrxjGc41QRZjyR5h0f0duqGEmmLApwKxJyXSoiRs0twM9VinGjY7/+269VAaeKULbD+h7N6w9/PT8mS7N0MAD1RvmjSxWxpMyPEuO6NcWvw6/LkAU+yqlI/NpZEuMc2f/efGK5KAioK/DwESWVHyeKJKI8S0eBh49uFni0qO+UMbPnmHc8mMdjOMJv2v26DFmKXiHIqfARM0US4FJFuFR53C1LSwnyGDJ7D1NZ7s2U41JwszeCecVePoEvRk0jwE8iA4cpp/g0+HU5qjcD4BeBUMABjybjRk8Ysws9/MKuStYdZaxaIJ8W3QsAAIVe3gOpGcOfOS7VGqq91RdBgVcb9D7FPg25rv6LpywKcCo8kZlf7IUqiZhdwGuvCjwqSrMcUGV+8YvFq8tWj1jIdtDKooB5Rd6Yr7E/J9etQpd5ve3UgANuVY4qfSnP4sNVblWyToiqZPQIiQJEEVavcm+YRdXRycbJpMinIcIYZhXw0o88t2Zd5FSJX2CynApyXCo8Kk+qavPdcBvJtleXonr9REEwJipGH8KqJKK+wI2giw/lQRCs2mxdEiCC10oGXAry3LHjaWfeeAScfMJjdY5z0DrBVblOlPh1hBnD9Z4wvEYPVbZTxvSgiw+7Srzdf67Mj8psJ1SJX0xDOU74HPZeRv7vHqMs4XZfBA7FqG2URGQ5ea+qmYx5NBmVOc5B7TUcYchzq3DIEnRFgGYkt1kOBbd6IygP6FG9m+Z3ZarOdcKr8Yt+fYEn5g2tLovWDYRX5d9fRbYDAgQsKPHydjmgF6g8S0ehR4NXl3mvm3FMqZJo/UBJvke1JgQ5FX4z51H5xcTsZXEZs869ugQwAUGnjKkBXqvpUUUIIlAe0JHnVmHeI9rPAwtLvMhxKdbFL+hWjGNAxPSgO+q5giCgJteFz3rCqMp1GSvHCJAFwaojHEiVeO+8STRGztwqH04OulWU+HW4VN5W6gs8mG8cq3lulc9RMMu+JBFVxiTmgEuBU+k/T4UZg1OV4HfIkCVenuTV+XGpSiKydNlKkhRJhFflCWHAoVhD9rIooDzbgRl5bquGen6xF7osYmpAR49REpbnUaEZn+2QJfgditErx2vNXUYiAvAeWDOEdQXuQfHh7af/mJ6W48QUv458twqnIsGv80Q36OY3cLoiwqOJKPSoRu88l+1U4FX5HBNZFBC0HdN5bhWVOU7rPCMbddJZDhnVuS5UZjvhVHkNqVsV4ZRFlGXp1gSrGUEXJGPkytwvs3xsio+XBng0GYVefh4y5zHU5rut3lGfPvh6FXRr1g28WVvrUCRkO2KPppptcIrfgTDjvZ4MArIcCrKdMoKe/muJJotWfAo9KgQR8OsyyrIcVrsJGyuOyMbNQJaTjx5N8fNrGWMCZEnAzKDbKgsB+H7XFbhxu4/PzZkedMW8Ka8rcFuT1vl1md+o8TIeflM5Z8B1SRZ5csrbBb/ZNU0PRrcfHlfZKnzqi0RQY5Tq2Z9Tl++GLPHOAXMEI9Ea7+UBhzXKIhsjMbku2Xpfv0OxjmldFpHn0aKudQ4jf3Aa5wS3JqEv0p8rKKI46DztMjqDAg4FLkXEnEL3oAmpmRS/RZK0UyW+osLAXk2PFv9ryHUp+OAShjX8MDAxtvM7FNzqDUMS+YXr8s1e5Noae6yXVgfdgyZq8ZILN9qudsNnqyWcketAl5Q8ATPfw6PJCEduWwmZeeEwe0tPdtyIuuDa5dguGO44vRCpiLdYulOVUeLjJ4OBJxhZEsGMTtwpfh2XbvZEPUcUBOS6eK+GIAjIdakIOFWIAnDRtsDCnML+E6ZP53V29oQ4z91/wrS2S5GAWD3qAk/0/Q4Z7de6rffxOXi9nccYGk2F2VYdiohCjxazTZkJ0pwir7UywM3esDWx0a8r1nqroiCgMseJ6919Rg+ZEPX9Mcb3q9CrIuhS8a+Pr0KTBOQqRm+KJqM232W1s0KPBo8mD06QGR9KFISbfJa0sY3VuU6c+N+NpD8GEuvCPjg2Emrz+MUrYAzt6jI/llVJxKx8jxUvSQACTjmqpMqpiMg2LoQ5LsXaRqfS//3MMN5/Wq4TjPGlqQB+Mb3eHUax14GLN3pwu6d//wNOFezSLXh1xRrKH0ixJbC3jTrsRDPI/Q4ZDkW04qbJInJdCnLcKvqMZMcsmYpHEIACrxbzc8zH5hXz46DAq+FfH3VBkQQEjBpWgF9kwXhv8kdd3ajMceDjrm4UeTV0fNYDSRTg1SRIgoqr3X1wqv11kh5NQrlXQ0GA3/z2hBku3ew1VnYQYh4TisR7irv7wqjIduJmTxjvfRqOuogrkgC/Q4bXyJVKfBo+vHzT6syIt4pJqV8fdNNr/5sgCCgyOgUCxg30wPeqyHbi6u1eiAJQ5NWi2jVvT/3PNxN1+/tevd0Hrybjk2vdcGu8fv/8pzAmlvHXlmU5cM1Y5YLXskoo8fM25TWPPaMHW5PF1M8txvMqAg5E2K2Y57iBnIqIAq+GM5dvwqNLKPLqg47lkLH6jlPlPajmaCgDT+AjjE/ydhnHhQB+o+p38BGK+gK3tYSqQ+FLcfiM5FIxOlFkRzdynErM86Eo8N55M3k0R2wUUYQo8OPENeA6JUBAtjP1a5e5vKn56lgTCPmcF3OOBC9WTJR82suT+HYDVbmJj2nzBsGt8onW3UYZZl2Bmy9HKwlWjMqytKgac4CPnpZliXxyrICoG7zxgBLkMcTvxgcneRXZsRM/wLyQ6QmT3aEyD07NGBoD+EndnqjHO6nHu4gKgHXSNcWagBiLKgm8plMWY+5nhGHQEmd2pf74w0ZDEW+ZMYBfiGLxqBI0X/9+D9wWySjfAICpRkIiJ/kqYyVvA08sqRg44lCWxWsIb/aGU76R8BvtQzSS7kR0Y1IKwCeABo0LRLFPRds1FjWpU5H40L0ui1EXRk3mw62aMVSb41QgCT2YbiSKotBf1xpwKtbKFwNXzPAak0IcCh/yMy/aDkVCqU+31hMdKbNnzX7BKzPiZD9WBIHXs9vVBF3Wdg28SR54/OW5NfRFmJUgmzWFpVk6cl0Kjl6/aj3XrI9NNVEp9TuSLq8ki0LU8GxVrhNdxgRB88chkt102G+EktFlPoJiH2kC+IhS1+1e5Hs0XLrZhzy3Bk3uH0IGeFxPXb7JRx+MOvMI45OK7HGdluNE5/lrSfd9il9H561efn5Q+WRj86bDXKNcFPqHjzWjFz7W+yqiYC1/FWt0zTTwPJjtin/8SyKfLOqPM7poinVOD7pVKBIvmzBrp6uzdXizPVHfp9k/UzMgYco2jnE+0TB2OUksxcYNDWBOnk71WiEayaAAvy7HTPjsZXiqzOcBADwJNb+TfLdq9dK6VdnqEBIFIaqH3jzGzJtX0ShZ7Oi5lvSabB4v5nXFXJ3IpcY+TkJxrjHxmOe86lxnzHJNWRRQlePko6QuBZ23+pIuOZlrOxdP8esxSxpjqcxx4bPuPgQ9KlwKHxVyKBIqsvrfL1bym65fLR0tlCBPAFPj9JwOV6VxMhIFAYXG8NTAk+tQhznMJeyGoy7fDQYgkGCILVaNsSldNw9aggQ5HkkU4BDttZdDT2THinmidioSqpP0DJjsiflQTmZTfJrVppyqjFC2hA8v93eZ67ak1f79FXk1tF3rtr6Lsiwdt6/ejP0ZtpsRp23bBMD6hUW/rmCKP/rEnJtCT9VI+GPUcwODe6Vj9ewmIoCPkAgCvzg6jUleksZrMq3nCULc0ZZYUll7VJVElNjizRMJXl+pxljuLeb2D/E4HZgcA/w7L2F8JGO2sQSWGW97udHULAfCEQanyucAfHq9O+YycankczzB4NtiTmQyy70UoybYLivBjUChV8NnMdYcHqlE81kSMWvUc23JiyIJgyaCa7YbTDt7mRiAlBPdAluCPFTmakCpdBrwH4wy63/5KEGhUW9uStT+RUGI2Q6HQpP5/AJe3zuit4pSYYyEJPruze+twKPhRnc46TXa3sk11P12azJyIww3bZN1B7ajiWZibz0ZsXhDGsnuNAca7gkaMCYTAnF7KHVZRPkQ766HYwTVGWSAwTdcQsIaQ5Nm1IKbP7Di0xXcvprkRYDVwwzwk7J5ns9zK0NORMcrSezvxS/y6rhplK1IooCq7PSMogyVuYLIWIqXaPtsF2NZ5JN6zaHnvghDkUcDbkX/cEyqvex2ua7+zzGXQUyVWbebTvwXAEf3O0j1/G5+N/Emk6dLbX7suu6BZtjOC5IAzMxzpXU01iQk+Lkmt8Z/sMucTxDLzBT3xy7WxOpEQinevIyEQ5GsEZKhEAUh5rrqmUYJMolJBK8HTfIjbWmV6eEWfRweoHeSRMPEdh5jFYbhsl+Ekg07T1RBlwIMmAw62eUMaF+qUTMK8J5SURAw8NfPh5OYDKfcaTT1hiPWKgmjJZX6YLtE5WqmRD3tyQwnyRWE9I02DlSZ44jbqeTTZdzqCcOT4Px3pxy/mixCk4d+fEjG6jHjDSXIJKaZ+bFr6O5kiWoCydi5U5PadBqtC/2dxL7++p0yihBLwBl/daN0SSXhHap0zR1JVXAUS6sSjbjyES1KtSYi+tZITJMtOSaEkInIXDWBJJZoDWBCYhnfUwgJIYQQQggZY5QgE0IIIYQQYkMJMiGEEEIIITaUIBNCCCGEEGJDCTIhhBBCCCE2lCATQgghhBBiQwkyIYQQQgghNpQgE0IIIYQQYpPxBHnz5s2orq5GXV0dVq1aha6uLutvW7duRSgUQlVVFQ4cOGA93tLSgqqqKoRCIWzbts16/OzZs1i4cCEqKyuxbt069PT0jOm+EEIIIYSQiS/jCXJDQwPef/99vPfee5g2bRq2bt0KADh58iSamppw4sQJtLS04PHHH0c4HEY4HMZ3v/td7N+/HydPnsTu3btx8uRJAMAPf/hDfO9738OpU6eQlZWFl19+OZO7RgghhBBCJqCMJ8jLli2DLPNfvF60aBHa2toAAHv27EFjYyM0TcPUqVMRCoXQ2tqK1tZWhEIhlJeXQ1VVNDY2Ys+ePWCM4ciRI1izZg0AYMOGDXjttdcytl+EEEIIIWRikjO9AXY7d+7EunXrAADt7e1YtGiR9bfi4mK0t7cDAEpKSqIef/vtt3H58mX4/X4r2bY/P56Ojo5hbeeVK1eG9brJhGKUHMUoNRSn5ChGqaE4JUcxSo5ilJqJEKe8vLy4fxuTBPlLX/oSPv3000GPP/PMM1i5cqX137IsY/369QAAxtig5wuCgEgkEvPxeM9PJFFgkhnJaycLilFyFKPUUJySoxilhuKUHMUoOYpRaiZynMYkQT506FDCv+/atQt79+7F4cOHraS2uLgY58+ft57T1taGwsJCAIj5eE5ODrq6utDX1wdZlqOeTwghhBBCSKoyXoPc0tKCZ599Fs3NzXA6ndbjK1asQFNTE7q7u3H27FmcOnUKCxYswPz583Hq1CmcPXsWPT09aGpqwooVKyAIAu6++278+c9/BsCTbrN3Ot0m8h3RWKEYJUcxSg3FKTmKUWooTslRjJKjGKVmosdJYLFqE8ZQKBRCd3c3srOzAfCJei+++CIAXnaxc+dOyLKMHTt24L777gMA/O1vf8OmTZsQDoexceNGbNmyBQBw5swZNDY24sqVK5g9ezZeeeUVaJoW9XlXr14dw70jhBBCCCHjnc/ni/r/jCfIY40SZEIIIYQQYjfpE2RCCCGEEEISyXgNMiGEEEIIIeMJJciEEEIIIYTYTIoE+fz587j77rtRU1ODGTNm4PnnnwfAF7FuaGhAZWUlGhoa0NnZCQD473//i8WLF0PTNPzqV7+y3uf27dtYsGABZs2ahRkzZuCnP/1p3M+899574ff7cf/990c9vn79elRVVWHmzJnYuHEjent7R2GPhy5dMTKFw2HMnj170P7b7dq1C5WVlaisrMSuXbusx3t6evCtb30L06ZNQ3V1NV599dU07+3wZCJGE60dAemNU1lZGWpra1FfX4958+bF/cyWlhZUVVUhFAph27Zt1uOMMWzZsgXTpk1DTU0NXnjhhVHY46HLRIw2btyIYDCImTNnRj2+efNmVFdXo66uDqtWrUJXV1ea93b40hmnrq4urFmzBtXV1aipqcFbb70V8zMnc1tKNUYTrS2lK0YffPAB6uvrrX+8Xi927NgR8zMnWjsCMhOncd2W2CTwySefsHfffZcxxti1a9dYZWUlO3HiBNu8eTPbunUrY4yxrVu3sieeeIIxxlhHRwdrbW1lP/7xj9kvf/lL630ikQi7fv06Y4yxnp4etmDBAvbWW2/F/MxDhw6x5uZm9uUvfznq8X379rFIJMIikQhrbGxkv/nNb9K+v8ORrhiZtm/fzh588MFB+2+6fPkymzp1Krt8+TK7cuUKmzp1Krty5QpjjLGnnnqKbdmyhTHGWDgcZhcvXkz7/g7HWMeIsYnXjhhLb5xKS0uTfv99fX2svLycnT59mnV3d7O6ujp24sQJxhhjO3fuZA899BALh8PWZ40HYx0jxhh7/fXX2bvvvstmzJgR9fiBAwdYb28vY4yxJ554wvrM8SCdcfr617/Ofv/73zPGGOvu7madnZ2DPm+yt6VUYsTYxGtL6T53M8bbSl5eHjt37lzMv020dsTY2MeJsfHdliZFD3JBQQHmzJkDAPB4PKipqUF7ezv27NmDDRs2AAA2bNiA1157DQAQDAYxf/58KIoS9T6CIMDtdgMAent70dvbG/fX+r74xS/C4/EMenz58uUQBAGCIGDBggVoa2tL236ORLpiBPAfb9m3bx8eeeSRuJ934MABNDQ0IBAIICsrCw0NDWhpaQHAf3L8Rz/6EQBAFEXk5OSkdV+Ha6xjBEy8dgSkN06paG1tRSgUQnl5OVRVRWNjI/bs2QMA+O1vf4unnnoKoihanzUejHWMAOCuu+5CIBAY9PiyZcsgy/w3oxYtWnRHtqVr167hjTfewMMPPwwAUFUVfr9/0OdN5raUaoyAideWRuN4O3z4MCoqKlBaWjrobxOxHQFjHydgfLelSZEg2507dw7Hjh3DwoUL0dHRgYKCAgC8Yfzvf/9L+vpwOIz6+noEg0E0NDRg4cKFw9qO3t5e/OEPf8C99947rNePppHGaNOmTfjFL35hnQBiaW9vR0lJifX/xcXFaG9vt4ZRnnzyScyZMwdr165FR0fHCPco/cYiRqkYz+0IGHmcBEHAsmXLMHfuXPzud7+L+Zx4bQkATp8+jT/96U+YN28e7rvvPpw6dSoNe5VeYxGjVO3cudNab368GUmczpw5g9zcXHzzm9/E7Nmz8cgjj+DGjRuDnjeZ21KqMUrVeG1LIz3eTE1NTXjwwQdj/m2ityNgbOKUqky1pUmVIH/22WdYvXo1duzYAa/XO6z3kCQJx48fR1tbG1pbW/H+++8P630ef/xx3HXXXViyZMmwXj9aRhqjvXv3IhgMYu7cNS0hNAAABopJREFUuQmfx2KsLigIAvr6+tDW1obPfe5zOHr0KBYvXowf/OAHQ96O0TRWMUrFeG1HQHqOtzfffBNHjx7F/v378etf/xpvvPHGoOfEa0sA0N3dDV3X8c477+DRRx/Fxo0bh7Udo2WsYpSKZ555BrIsY/369cN6/WgaaZz6+vpw9OhRfOc738GxY8fgcrmi6kJNk7ktpRqjVIzXtpSO4w3g82Sam5uxdu3amH+fyO0IGLs4pSKTbWnSJMi9vb1YvXo11q9fj69+9asA+M8gXrhwAQBw4cKFIQ11+P1+fOELX0BLSwvefvttqxi9ubk56WuffvppXLx4Ec8999zwdmaUpCNGb775Jpqbm1FWVobGxkYcOXIEX/va1wbFqLi4GOfPn7de19bWhsLCQmRnZ8PpdGLVqlUAgLVr1+Lo0aOjtMdDN5YxSma8tiMgfcdbYWEhAD6Ut2rVKrS2tuL8+fNWnF588cW4bQngPTerV68GAKxatQrvvfdeWvdzJMYyRsns2rULe/fuxR//+Me4ZWOZko44FRcXo7i42BrxW7NmDY4ePUptySbVGCUzXttSOnOA/fv3Y86cOdZPKd8p7QgY2zglk+m2NCkSZMYYHn74YdTU1OD73/++9fiKFSus1RN27dqFlStXJnyfixcvWiUAt27dwqFDh1BdXY2FCxfi+PHjOH78OFasWJHwPV566SUcOHAAu3fvHvHwejqlK0Zbt25FW1sbzp07h6amJixduhSvvPLKoBjdc889OHjwIDo7O9HZ2YmDBw/innvugSAI+MpXvoJ//OMfAHj90vTp00dtv4dirGOUyHhtR0D64nTjxg1cv37d+u+DBw9i5syZKCkpseL07W9/G/Pnz8epU6dw9uxZ9PT0oKmpyYrfAw88gCNHjgAAXn/9dUybNm00dnnIxjpGibS0tODZZ59Fc3MznE7nCPcsvdIVp/z8fJSUlOCDDz4A0H9eobbUL9UYJTJe21K6YmTavXt3VNnAndCOgLGPUyLjoi2N+bTADPjnP//JALDa2lo2a9YsNmvWLLZv3z526dIltnTpUhYKhdjSpUvZ5cuXGWOMXbhwgRUVFTGPx8N8Ph8rKipiV69eZf/5z39YfX09q62tZTNmzGBPP/103M/8/Oc/z3Jycpiu66yoqIi1tLQwxhiTJImVl5db25HoPcZSumJk9/e//z3hCg0vv/wyq6ioYBUVFWznzp3W4+fOnWNLlixhtbW1bOnSpeyjjz4anZ0eokzEaKK1I8bSF6fTp0+zuro6VldXx6ZPn85+9rOfxf3Mffv2scrKSlZeXh71vM7OTrZ8+XI2c+ZMtmjRInb8+PFR3/9UZCJGjY2NLD8/n8myzIqKithLL73EGGOsoqKCFRcXW9vx2GOPjUkMUpHOY+7YsWNs7ty5rLa2lq1cudJaNWegydqWGEs9RhOtLaUzRjdu3GCBQIB1dXUl/MyJ1o4Yy0ycxnNbop+aJoQQQgghxGZ8jc0SQgghhBCSYZQgE0IIIYQQYkMJMiGEEEIIITaUIBNCCCGEEGJDCTIhhBBCCCE2lCATQsgk841vfAM/+clPMr0ZhBAyblGCTAghhBBCiA0lyIQQQgghhNhQgkwIIXe4Y8eOYc6cOfB4PFi3bh1u374NALh06RLuv/9++P1+BAIBLFmyBJFIJMNbSwghmUcJMiGE3MF6enrwwAMP4KGHHsKVK1ewdu1avPrqqwCA7du3o7i4GBcvXkRHRwd+/vOfQxCEDG8xIYRkHiXIhBByB/v3v/+N3t5ebNq0CYqiYM2aNZg/fz4AQFEUXLhwAR999BEURcGSJUsoQSaEEFCCTAghd7RPPvkERUVFUYlvaWkpAGDz5s0IhUJYtmwZysvLsW3btkxtJiGEjCuUIBNCyB2soKAA7e3tYIxZj3388ccAAI/Hg+3bt+PMmTP461//iueeew6HDx/O1KYSQsi4QQkyIYTcwRYvXgxZlvHCCy+gr68Pf/nLX9Da2goA2Lt3Lz788EMwxuD1eiFJEiRJyvAWE0JI5gnM3q1ACCHkjvPOO+/g0UcfxYcffojly5cDACorK5GdnY3nn38eFy9eRFZWFh577DE8+eSTGd5aQgjJPEqQCSGEEEIIsaESC0IIIYQQQmwoQSaEEEIIIcSGEmRCCCGEEEJsKEEmhBBCCCHEhhJkQgghhBBCbChBJoQQQgghxIYSZEIIIYQQQmwoQSaEEEIIIcTm/wHU1MB+/iAFCQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_model.plot(forecast,uncertainty=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x648 with 3 Axes>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x648 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_model.plot_components(forecast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:fbprophet:n_changepoints greater than number of observations.Using 12.\n"
     ]
    }
   ],
   "source": [
    "def fit_predict_model(dataframe, interval_width = 0.99, changepoint_range = 0.8):\n",
    "    m = Prophet(daily_seasonality = False, yearly_seasonality = True, weekly_seasonality = True,\n",
    "                seasonality_mode = 'multiplicative', \n",
    "                interval_width = interval_width,\n",
    "                changepoint_range = changepoint_range)\n",
    "    m = m.fit(dataframe)\n",
    "    forecast = m.predict(dataframe)\n",
    "    forecast['fact'] = dataframe['y'].reset_index(drop = True)\n",
    "    return forecast\n",
    "    \n",
    "pred = fit_predict_model(sub)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "def detect_anomalies(forecast):\n",
    "    forecasted = forecast[['ds','trend', 'yhat', 'yhat_lower', 'yhat_upper', 'fact']].copy()\n",
    "    #forecast['fact'] = df['y']\n",
    "\n",
    "    forecasted['anomaly'] = 0\n",
    "    forecasted.loc[forecasted['fact'] > forecasted['yhat_upper'], 'anomaly'] = 1\n",
    "    forecasted.loc[forecasted['fact'] < forecasted['yhat_lower'], 'anomaly'] = -1\n",
    "\n",
    "    #anomaly importances\n",
    "    forecasted['importance'] = 0\n",
    "    forecasted.loc[forecasted['anomaly'] ==1, 'importance'] = \\\n",
    "        (forecasted['fact'] - forecasted['yhat_upper'])/forecast['fact']\n",
    "    forecasted.loc[forecasted['anomaly'] ==-1, 'importance'] = \\\n",
    "        (forecasted['yhat_lower'] - forecasted['fact'])/forecast['fact']\n",
    "    \n",
    "    return forecasted\n",
    "\n",
    "pred = detect_anomalies(pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RendererRegistry.enable('notebook')"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import altair as alt\n",
    "from vega_datasets import data\n",
    "alt.renderers.enable('notebook')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "const spec = {\"config\": {\"view\": {\"width\": 400, \"height\": 300}, \"mark\": {\"tooltip\": null}, \"title\": {\"fontSize\": 20}}, \"layer\": [{\"data\": {\"name\": \"data-dfb9c078d5139b8da8ff4bd8c888e5bb\"}, \"mark\": {\"type\": \"area\", \"color\": \"#7FC97F\", \"interpolate\": \"basis\"}, \"encoding\": {\"tooltip\": [{\"type\": \"temporal\", \"field\": \"ds\"}, {\"type\": \"quantitative\", \"field\": \"fact\"}, {\"type\": \"quantitative\", \"field\": \"yhat_lower\"}, {\"type\": \"quantitative\", \"field\": \"yhat_upper\"}], \"x\": {\"type\": \"temporal\", \"field\": \"ds\", \"title\": \"date\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"yhat_upper\"}, \"y2\": {\"field\": \"yhat_lower\"}}, \"selection\": {\"selector007\": {\"type\": \"interval\", \"bind\": \"scales\", \"encodings\": [\"x\", \"y\"]}}, \"title\": \"Anomaly Detection\"}, {\"data\": {\"name\": \"data-dfb9c078d5139b8da8ff4bd8c888e5bb\"}, \"mark\": {\"type\": \"circle\", \"color\": \"Black\", \"opacity\": 0.7, \"size\": 15}, \"encoding\": {\"tooltip\": [{\"type\": \"temporal\", \"field\": \"ds\"}, {\"type\": \"quantitative\", \"field\": \"fact\"}, {\"type\": \"quantitative\", \"field\": \"yhat_lower\"}, {\"type\": \"quantitative\", \"field\": \"yhat_upper\"}], \"x\": {\"type\": \"temporal\", \"field\": \"ds\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"fact\", \"title\": \"sales\"}}, \"selection\": {\"selector008\": {\"type\": \"interval\", \"bind\": \"scales\", \"encodings\": [\"x\", \"y\"]}}}, {\"data\": {\"name\": \"data-d751713988987e9331980363e24189ce\"}, \"mark\": {\"type\": \"circle\", \"color\": \"Red\", \"size\": 30}, \"encoding\": {\"size\": {\"type\": \"quantitative\", \"field\": \"importance\", \"legend\": null}, \"tooltip\": [{\"type\": \"temporal\", \"field\": \"ds\"}, {\"type\": \"quantitative\", \"field\": \"fact\"}, {\"type\": \"quantitative\", \"field\": \"yhat_lower\"}, {\"type\": \"quantitative\", \"field\": \"yhat_upper\"}], \"x\": {\"type\": \"temporal\", \"field\": \"ds\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"fact\", \"title\": \"sales\"}}, \"selection\": {\"selector009\": {\"type\": \"interval\", \"bind\": \"scales\", \"encodings\": [\"x\", \"y\"]}}}], \"height\": 450, \"width\": 870, \"$schema\": \"https://vega.github.io/schema/vega-lite/v3.4.0.json\", \"datasets\": {\"data-dfb9c078d5139b8da8ff4bd8c888e5bb\": [{\"ds\": \"2018-01-15T00:00:00\", \"trend\": 10788714.664141538, \"yhat\": 15118439.999992952, \"yhat_lower\": 15118439.99724502, \"yhat_upper\": 15118440.002839549, \"fact\": 15118440.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-01-22T00:00:00\", \"trend\": 10907111.809483329, \"yhat\": 11410271.999993745, \"yhat_lower\": 11410271.997250723, \"yhat_upper\": 11410272.003138795, \"fact\": 11410272.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-01-29T00:00:00\", \"trend\": 11025518.805234626, \"yhat\": 12838799.999994844, \"yhat_lower\": 12838799.997023774, \"yhat_upper\": 12838800.002882019, \"fact\": 12838800.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-02-04T00:00:00\", \"trend\": 11127014.28636829, \"yhat\": 17277959.999989696, \"yhat_lower\": 17277959.99731757, \"yhat_upper\": 17277960.0027416, \"fact\": 17277960.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-02-19T00:00:00\", \"trend\": 11380729.353584386, \"yhat\": 7808537.999991367, \"yhat_lower\": 7808537.997156497, \"yhat_upper\": 7808538.00286467, \"fact\": 7808538.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-02-26T00:00:00\", \"trend\": 11499121.727173567, \"yhat\": 11967088.799993325, \"yhat_lower\": 11967088.79685002, \"yhat_upper\": 11967088.80274439, \"fact\": 11967088.8, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-03-19T00:00:00\", \"trend\": 11854309.941496916, \"yhat\": 16740874.7999932, \"yhat_lower\": 16740874.797186323, \"yhat_upper\": 16740874.802484812, \"fact\": 16740874.799999995, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-03-26T00:00:00\", \"trend\": 11966381.497013805, \"yhat\": 13086322.799995976, \"yhat_lower\": 13086322.797182065, \"yhat_upper\": 13086322.803055072, \"fact\": 13086322.8, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-04-16T00:00:00\", \"trend\": 12301603.808125539, \"yhat\": 9958919.999991978, \"yhat_lower\": 9958919.997181823, \"yhat_upper\": 9958920.00277219, \"fact\": 9958920.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-04-23T00:00:00\", \"trend\": 12413237.673226038, \"yhat\": 22587959.99998909, \"yhat_lower\": 22587959.99708813, \"yhat_upper\": 22587960.00292055, \"fact\": 22587960.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-04-30T00:00:00\", \"trend\": 12524751.936571617, \"yhat\": 23097599.999996193, \"yhat_lower\": 23097599.997429848, \"yhat_upper\": 23097600.00254462, \"fact\": 23097600.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-05-02T00:00:00\", \"trend\": 12556610.150387669, \"yhat\": 13751217.5999959, \"yhat_lower\": 13751217.597230358, \"yhat_upper\": 13751217.602606272, \"fact\": 13751217.6, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-05-03T00:00:00\", \"trend\": 12572526.829876503, \"yhat\": 13970984.399995105, \"yhat_lower\": 13970984.397280626, \"yhat_upper\": 13970984.402885392, \"fact\": 13970984.4, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-08-01T00:00:00\", \"trend\": 14004628.024999816, \"yhat\": 13138439.999998877, \"yhat_lower\": 13138439.997431958, \"yhat_upper\": 13138440.003401376, \"fact\": 13138440.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-09-04T00:00:00\", \"trend\": 14545644.032046398, \"yhat\": 27956879.99999852, \"yhat_lower\": 27956879.99732829, \"yhat_upper\": 27956880.003196303, \"fact\": 27956880.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-12-02T00:00:00\", \"trend\": 15961832.991668338, \"yhat\": 5279399.999999562, \"yhat_lower\": 5279399.997407007, \"yhat_upper\": 5279400.002951587, \"fact\": 5279400.0, \"anomaly\": 0, \"importance\": 0.0}, {\"ds\": \"2018-12-03T00:00:00\", \"trend\": 15977745.22716971, \"yhat\": 16584460.799998626, \"yhat_lower\": 16584460.797103675, \"yhat_upper\": 16584460.803118099, \"fact\": 16584460.8, \"anomaly\": 0, \"importance\": 0.0}], \"data-d751713988987e9331980363e24189ce\": []}};\n",
       "const opt = {};\n",
       "const type = \"vega-lite\";\n",
       "const id = \"8bc14e0f-074a-40e1-8d76-699166146b81\";\n",
       "\n",
       "const output_area = this;\n",
       "\n",
       "require([\"nbextensions/jupyter-vega/index\"], function(vega) {\n",
       "  const target = document.createElement(\"div\");\n",
       "  target.id = id;\n",
       "  target.className = \"vega-embed\";\n",
       "\n",
       "  const style = document.createElement(\"style\");\n",
       "  style.textContent = [\n",
       "    \".vega-embed .error p {\",\n",
       "    \"  color: firebrick;\",\n",
       "    \"  font-size: 14px;\",\n",
       "    \"}\",\n",
       "  ].join(\"\\\\n\");\n",
       "\n",
       "  // element is a jQuery wrapped DOM element inside the output area\n",
       "  // see http://ipython.readthedocs.io/en/stable/api/generated/\\\n",
       "  // IPython.display.html#IPython.display.Javascript.__init__\n",
       "  element[0].appendChild(target);\n",
       "  element[0].appendChild(style);\n",
       "\n",
       "  vega.render(\"#\" + id, spec, type, opt, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== \"scripterror\") {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ],
      "text/plain": [
       "<vega.vegalite.VegaLite at 0x1fe173379c8>"
      ]
     },
     "metadata": {
      "jupyter-vega": "#8bc14e0f-074a-40e1-8d76-699166146b81"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {
      "jupyter-vega": "#8bc14e0f-074a-40e1-8d76-699166146b81"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_anomalies(forecasted):\n",
    "    interval = alt.Chart(forecasted).mark_area(interpolate=\"basis\", color = '#7FC97F').encode(\n",
    "    x=alt.X('ds:T',  title ='date'),\n",
    "    y='yhat_upper',\n",
    "    y2='yhat_lower',\n",
    "    tooltip=['ds', 'fact', 'yhat_lower', 'yhat_upper']\n",
    "    ).interactive().properties(\n",
    "        title='Anomaly Detection'\n",
    "    )\n",
    "\n",
    "    fact = alt.Chart(forecasted[forecasted.anomaly==0]).mark_circle(size=15, opacity=0.7, color = 'Black').encode(\n",
    "        x='ds:T',\n",
    "        y=alt.Y('fact', title='sales'),    \n",
    "        tooltip=['ds', 'fact', 'yhat_lower', 'yhat_upper']\n",
    "    ).interactive()\n",
    "\n",
    "    anomalies = alt.Chart(forecasted[forecasted.anomaly!=0]).mark_circle(size=30, color = 'Red').encode(\n",
    "        x='ds:T',\n",
    "        y=alt.Y('fact', title='sales'),    \n",
    "        tooltip=['ds', 'fact', 'yhat_lower', 'yhat_upper'],\n",
    "        size = alt.Size( 'importance', legend=None)\n",
    "    ).interactive()\n",
    "\n",
    "    return alt.layer(interval, fact, anomalies)\\\n",
    "              .properties(width=870, height=450)\\\n",
    "              .configure_title(fontSize=20)\n",
    "              \n",
    "plot_anomalies(pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub = df[(df['ds'] > '2016-10-15') & (df['ds'] <= '2016-11-01')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2016-10-28</td>\n",
       "      <td>93.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2016-10-28</td>\n",
       "      <td>32.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2016-10-28</td>\n",
       "      <td>1082.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2016-10-28</td>\n",
       "      <td>56.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2016-10-28</td>\n",
       "      <td>14.28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           ds        y\n",
       "60 2016-10-28    93.06\n",
       "79 2016-10-28    32.40\n",
       "80 2016-10-28  1082.48\n",
       "81 2016-10-28    56.91\n",
       "83 2016-10-28    14.28"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sub.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.groupby('ds',as_index=False).agg({\"y\":sum})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sub.set_index('ds').plot(figsize=(12, 8))\n",
    "ax.set_ylabel('sales')\n",
    "ax.set_xlabel('Date')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_model = Prophet(interval_width=0.95,yearly_seasonality=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:fbprophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<fbprophet.forecaster.Prophet at 0x25f06ac8648>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_model.fit(sub)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>2016-12-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>956</th>\n",
       "      <td>2016-12-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>957</th>\n",
       "      <td>2016-12-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>958</th>\n",
       "      <td>2016-12-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>959</th>\n",
       "      <td>2016-12-30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ds\n",
       "955 2016-12-26\n",
       "956 2016-12-27\n",
       "957 2016-12-28\n",
       "958 2016-12-29\n",
       "959 2016-12-30"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "future_dates = my_model.make_future_dataframe(periods=365, freq='D')\n",
    "future_dates.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>yhat</th>\n",
       "      <th>yhat_lower</th>\n",
       "      <th>yhat_upper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>2016-12-26</td>\n",
       "      <td>2779.835980</td>\n",
       "      <td>-1306.850056</td>\n",
       "      <td>6738.848185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>956</th>\n",
       "      <td>2016-12-27</td>\n",
       "      <td>3061.466195</td>\n",
       "      <td>-828.627925</td>\n",
       "      <td>7165.200074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>957</th>\n",
       "      <td>2016-12-28</td>\n",
       "      <td>2181.112643</td>\n",
       "      <td>-1789.665018</td>\n",
       "      <td>6162.372353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>958</th>\n",
       "      <td>2016-12-29</td>\n",
       "      <td>2412.232743</td>\n",
       "      <td>-1557.092754</td>\n",
       "      <td>6384.312226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>959</th>\n",
       "      <td>2016-12-30</td>\n",
       "      <td>2758.295083</td>\n",
       "      <td>-1288.823738</td>\n",
       "      <td>6965.632933</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ds         yhat   yhat_lower   yhat_upper\n",
       "955 2016-12-26  2779.835980 -1306.850056  6738.848185\n",
       "956 2016-12-27  3061.466195  -828.627925  7165.200074\n",
       "957 2016-12-28  2181.112643 -1789.665018  6162.372353\n",
       "958 2016-12-29  2412.232743 -1557.092754  6384.312226\n",
       "959 2016-12-30  2758.295083 -1288.823738  6965.632933"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forecast = my_model.predict(future_dates)\n",
    "forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_model.plot(forecast,uncertainty=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub_gen = forecast[['ds', 'yhat']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>yhat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-01-02</td>\n",
       "      <td>2245.471378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-01-03</td>\n",
       "      <td>2537.320968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-01-04</td>\n",
       "      <td>2020.149038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-01-06</td>\n",
       "      <td>2141.640270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-01-07</td>\n",
       "      <td>2287.207436</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds         yhat\n",
       "0 2014-01-02  2245.471378\n",
       "1 2014-01-03  2537.320968\n",
       "2 2014-01-04  2020.149038\n",
       "3 2014-01-06  2141.640270\n",
       "4 2014-01-07  2287.207436"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sub_gen.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub_gen.to_csv(\"C:/Users/Akhilesh/Downloads/BoC/sub_gen.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "original = forecast[['ds', 'yhat']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "original.to_csv(\"C:/Users/Akhilesh/Downloads/BoC/original.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "error = pd.read_csv(\"C:/Users/Akhilesh/Downloads/BoC/original.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>orginal</th>\n",
       "      <th>o_value</th>\n",
       "      <th>generated</th>\n",
       "      <th>g_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>02-01-2016</td>\n",
       "      <td>2596.969097</td>\n",
       "      <td>02-01-2016</td>\n",
       "      <td>2318.975251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-01-2016</td>\n",
       "      <td>2835.548249</td>\n",
       "      <td>03-01-2016</td>\n",
       "      <td>2278.278135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-01-2016</td>\n",
       "      <td>2841.992918</td>\n",
       "      <td>04-01-2016</td>\n",
       "      <td>2487.441125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-01-2016</td>\n",
       "      <td>2609.973014</td>\n",
       "      <td>05-01-2016</td>\n",
       "      <td>2648.358070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>07-01-2016</td>\n",
       "      <td>2299.966194</td>\n",
       "      <td>06-01-2016</td>\n",
       "      <td>1655.363704</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     orginal       o_value   generated      g_value\n",
       "0  02-01-2016  2596.969097  02-01-2016  2318.975251\n",
       "1  03-01-2016  2835.548249  03-01-2016  2278.278135\n",
       "2  04-01-2016  2841.992918  04-01-2016  2487.441125\n",
       "3  05-01-2016  2609.973014  05-01-2016  2648.358070\n",
       "4  07-01-2016  2299.966194  06-01-2016  1655.363704"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "error.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "abse = pd.DataFrame(columns = ['date','error'],index=range(len(error)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(error)):\n",
    "    for j in range(len(abse)):\n",
    "        if error[error.columns[0]][i] == error[error.columns[2]][j]:\n",
    "            abse['date'][i] = error[error.columns[0]][j]\n",
    "            abse['error'][i] = abs(error[error.columns[1]][j] - error[error.columns[3]][j])\n",
    "            break\n",
    "        else:\n",
    "            continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "abse = pd.read_csv(\"C:/Users/Akhilesh/Downloads/BoC/error.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>02-01-2016</td>\n",
       "      <td>277.993846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-01-2016</td>\n",
       "      <td>557.270114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-01-2016</td>\n",
       "      <td>354.551793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-01-2016</td>\n",
       "      <td>38.385056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>08-01-2016</td>\n",
       "      <td>820.316047</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date       error\n",
       "0  02-01-2016  277.993846\n",
       "1  03-01-2016  557.270114\n",
       "2  04-01-2016  354.551793\n",
       "3  05-01-2016   38.385056\n",
       "4  08-01-2016  820.316047"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abse.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x25f216d7f48>]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(abse['error'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>279.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>822.313614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>537.486567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.649222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>406.304446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>781.416624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1174.048272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2524.704996</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             error\n",
       "count   279.000000\n",
       "mean    822.313614\n",
       "std     537.486567\n",
       "min       0.649222\n",
       "25%     406.304446\n",
       "50%     781.416624\n",
       "75%    1174.048272\n",
       "max    2524.704996"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abse.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "abse['class'] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Akhilesh\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"\n",
      "C:\\Users\\Akhilesh\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(abse)):\n",
    "    if abse['error'][i] > 800:\n",
    "        abse['class'][i] = 1\n",
    "    else:\n",
    "        abse['class'][i] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>error</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>02-01-2016</td>\n",
       "      <td>277.993846</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-01-2016</td>\n",
       "      <td>557.270114</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-01-2016</td>\n",
       "      <td>354.551793</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-01-2016</td>\n",
       "      <td>38.385056</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>08-01-2016</td>\n",
       "      <td>820.316047</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>26-12-2016</td>\n",
       "      <td>1247.947653</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>27-12-2016</td>\n",
       "      <td>1066.789085</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>29-12-2016</td>\n",
       "      <td>664.142041</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>30-12-2016</td>\n",
       "      <td>785.459953</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>31-12-2016</td>\n",
       "      <td>1025.151893</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>279 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           date        error  class\n",
       "0    02-01-2016   277.993846      0\n",
       "1    03-01-2016   557.270114      0\n",
       "2    04-01-2016   354.551793      0\n",
       "3    05-01-2016    38.385056      0\n",
       "4    08-01-2016   820.316047      1\n",
       "..          ...          ...    ...\n",
       "274  26-12-2016  1247.947653      1\n",
       "275  27-12-2016  1066.789085      1\n",
       "276  29-12-2016   664.142041      0\n",
       "277  30-12-2016   785.459953      0\n",
       "278  31-12-2016  1025.151893      1\n",
       "\n",
       "[279 rows x 3 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Order Date</th>\n",
       "      <th>error</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>02-01-2016</td>\n",
       "      <td>277.993846</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>03-01-2016</td>\n",
       "      <td>557.270114</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>04-01-2016</td>\n",
       "      <td>354.551793</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05-01-2016</td>\n",
       "      <td>38.385056</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>08-01-2016</td>\n",
       "      <td>820.316047</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Order Date       error  class\n",
       "0  02-01-2016  277.993846      0\n",
       "1  03-01-2016  557.270114      0\n",
       "2  04-01-2016  354.551793      0\n",
       "3  05-01-2016   38.385056      0\n",
       "4  08-01-2016  820.316047      1"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abse = abse.rename(columns={'date':'Order Date','error':'error','class':'class'})\n",
    "abse.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "final = data.merge(abse, on='Order Date', how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>Order ID</th>\n",
       "      <th>Order Date</th>\n",
       "      <th>Ship Date</th>\n",
       "      <th>Ship Mode</th>\n",
       "      <th>Customer ID</th>\n",
       "      <th>Customer Name</th>\n",
       "      <th>Segment</th>\n",
       "      <th>Country</th>\n",
       "      <th>City</th>\n",
       "      <th>...</th>\n",
       "      <th>Product ID</th>\n",
       "      <th>Category</th>\n",
       "      <th>Sub-Category</th>\n",
       "      <th>Product Name</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Profit</th>\n",
       "      <th>error</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>CA-2016-152156</td>\n",
       "      <td>08-11-2016</td>\n",
       "      <td>11-11-2016</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>CG-12520</td>\n",
       "      <td>Claire Gute</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Henderson</td>\n",
       "      <td>...</td>\n",
       "      <td>FUR-BO-10001798</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Bookcases</td>\n",
       "      <td>Bush Somerset Collection Bookcase</td>\n",
       "      <td>261.9600</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>41.9136</td>\n",
       "      <td>501.138766</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>CA-2016-152156</td>\n",
       "      <td>08-11-2016</td>\n",
       "      <td>11-11-2016</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>CG-12520</td>\n",
       "      <td>Claire Gute</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Henderson</td>\n",
       "      <td>...</td>\n",
       "      <td>FUR-CH-10000454</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Chairs</td>\n",
       "      <td>Hon Deluxe Fabric Upholstered Stacking Chairs,...</td>\n",
       "      <td>731.9400</td>\n",
       "      <td>3</td>\n",
       "      <td>0.00</td>\n",
       "      <td>219.5820</td>\n",
       "      <td>501.138766</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>CA-2016-138688</td>\n",
       "      <td>12-06-2016</td>\n",
       "      <td>16-06-2016</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>DV-13045</td>\n",
       "      <td>Darrin Van Huff</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>United States</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>...</td>\n",
       "      <td>OFF-LA-10000240</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Labels</td>\n",
       "      <td>Self-Adhesive Address Labels for Typewriters b...</td>\n",
       "      <td>14.6200</td>\n",
       "      <td>2</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.8714</td>\n",
       "      <td>952.641266</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>US-2015-108966</td>\n",
       "      <td>11-10-2015</td>\n",
       "      <td>18-10-2015</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>SO-20335</td>\n",
       "      <td>Sean O'Donnell</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Fort Lauderdale</td>\n",
       "      <td>...</td>\n",
       "      <td>FUR-TA-10000577</td>\n",
       "      <td>Furniture</td>\n",
       "      <td>Tables</td>\n",
       "      <td>Bretford CR4500 Series Slim Rectangular Table</td>\n",
       "      <td>957.5775</td>\n",
       "      <td>5</td>\n",
       "      <td>0.45</td>\n",
       "      <td>-383.0310</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>US-2015-108966</td>\n",
       "      <td>11-10-2015</td>\n",
       "      <td>18-10-2015</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>SO-20335</td>\n",
       "      <td>Sean O'Donnell</td>\n",
       "      <td>Consumer</td>\n",
       "      <td>United States</td>\n",
       "      <td>Fort Lauderdale</td>\n",
       "      <td>...</td>\n",
       "      <td>OFF-ST-10000760</td>\n",
       "      <td>Office Supplies</td>\n",
       "      <td>Storage</td>\n",
       "      <td>Eldon Fold 'N Roll Cart System</td>\n",
       "      <td>22.3680</td>\n",
       "      <td>2</td>\n",
       "      <td>0.20</td>\n",
       "      <td>2.5164</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   id        Order ID  Order Date   Ship Date       Ship Mode Customer ID  \\\n",
       "0   1  CA-2016-152156  08-11-2016  11-11-2016    Second Class    CG-12520   \n",
       "1   2  CA-2016-152156  08-11-2016  11-11-2016    Second Class    CG-12520   \n",
       "2   3  CA-2016-138688  12-06-2016  16-06-2016    Second Class    DV-13045   \n",
       "3   4  US-2015-108966  11-10-2015  18-10-2015  Standard Class    SO-20335   \n",
       "4   5  US-2015-108966  11-10-2015  18-10-2015  Standard Class    SO-20335   \n",
       "\n",
       "     Customer Name    Segment        Country             City  ...  \\\n",
       "0      Claire Gute   Consumer  United States        Henderson  ...   \n",
       "1      Claire Gute   Consumer  United States        Henderson  ...   \n",
       "2  Darrin Van Huff  Corporate  United States      Los Angeles  ...   \n",
       "3   Sean O'Donnell   Consumer  United States  Fort Lauderdale  ...   \n",
       "4   Sean O'Donnell   Consumer  United States  Fort Lauderdale  ...   \n",
       "\n",
       "        Product ID         Category Sub-Category  \\\n",
       "0  FUR-BO-10001798        Furniture    Bookcases   \n",
       "1  FUR-CH-10000454        Furniture       Chairs   \n",
       "2  OFF-LA-10000240  Office Supplies       Labels   \n",
       "3  FUR-TA-10000577        Furniture       Tables   \n",
       "4  OFF-ST-10000760  Office Supplies      Storage   \n",
       "\n",
       "                                        Product Name     Sales Quantity  \\\n",
       "0                  Bush Somerset Collection Bookcase  261.9600        2   \n",
       "1  Hon Deluxe Fabric Upholstered Stacking Chairs,...  731.9400        3   \n",
       "2  Self-Adhesive Address Labels for Typewriters b...   14.6200        2   \n",
       "3      Bretford CR4500 Series Slim Rectangular Table  957.5775        5   \n",
       "4                     Eldon Fold 'N Roll Cart System   22.3680        2   \n",
       "\n",
       "  Discount    Profit       error  class  \n",
       "0     0.00   41.9136  501.138766    0.0  \n",
       "1     0.00  219.5820  501.138766    0.0  \n",
       "2     0.00    6.8714  952.641266    1.0  \n",
       "3     0.45 -383.0310         NaN    NaN  \n",
       "4     0.20    2.5164         NaN    NaN  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "final = final.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Office Supplies    0.605896\n",
       "Furniture          0.220862\n",
       "Technology         0.173243\n",
       "Name: Category, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final['Category'].value_counts() / len(final)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "final = pd.read_csv(\"C:/Users/Akhilesh/Downloads/BoC/final.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub1 = final[final[\"Category\"] == \"Office Supplies\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub1 = final[final[\"Sub-Category\"] == \"Binders\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Binders       0.267964\n",
       "Paper         0.234281\n",
       "Storage       0.137725\n",
       "Art           0.118263\n",
       "Appliances    0.071856\n",
       "Labels        0.060629\n",
       "Supplies      0.036677\n",
       "Fasteners     0.036677\n",
       "Envelopes     0.035928\n",
       "Name: Sub-Category, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sub1['Sub-Category'].value_counts() / len(sub1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "col = ['Order Date','Sales']\n",
    "\n",
    "df = sub1[col]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id: 2205 unique values\n",
      "Order ID: 1113 unique values\n",
      "Order Date: 267 unique values\n",
      "Ship Date: 325 unique values\n",
      "Ship Mode\n",
      "['Second Class' 'Standard Class' 'First Class' 'Same Day']\n",
      "Customer ID: 597 unique values\n",
      "Customer Name: 597 unique values\n",
      "Segment\n",
      "['Consumer' 'Corporate' 'Home Office']\n",
      "Country\n",
      "['United States']\n",
      "City: 290 unique values\n",
      "State: 44 unique values\n",
      "Postal Code: 364 unique values\n",
      "Region\n",
      "['South' 'West' 'Central' 'East']\n",
      "Product ID: 1272 unique values\n",
      "Category\n",
      "['Furniture' 'Office Supplies' 'Technology']\n",
      "Sub-Category\n",
      "['Bookcases' 'Chairs' 'Labels' 'Binders' 'Art' 'Appliances' 'Accessories'\n",
      " 'Phones' 'Furnishings' 'Storage' 'Fasteners' 'Paper' 'Envelopes'\n",
      " 'Supplies' 'Tables' 'Machines' 'Copiers']\n",
      "Product Name: 1265 unique values\n",
      "Sales: 1829 unique values\n",
      "Quantity\n",
      "[ 2  3  7  5  6  4  1  9 14 11  8 13 10 12]\n",
      "Discount\n",
      "[0.   0.2  0.6  0.1  0.5  0.7  0.4  0.32 0.3  0.8  0.45 0.15]\n",
      "Profit: 1988 unique values\n",
      "error: 267 unique values\n",
      "class\n",
      "[0. 1.]\n"
     ]
    }
   ],
   "source": [
    "for c in list(final.columns):\n",
    "    \n",
    "    # get a list of unique values\n",
    "    n = final[c].unique()\n",
    "    \n",
    "    # if number of unique values is less than 30, print the values. Otherwise print the number of unique values\n",
    "    if len(n)<30:\n",
    "        print(c)\n",
    "        print(n)\n",
    "    else:\n",
    "        print(c + ': ' +str(len(n)) + ' unique values')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [],
   "source": [
    "col = ['Ship Mode','Segment','State','Region','Category','Sub-Category','Quantity','Discount','Profit','class']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_sub = final[col]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ship Mode        object\n",
       "Segment          object\n",
       "State            object\n",
       "Region           object\n",
       "Category         object\n",
       "Sub-Category     object\n",
       "Quantity          int64\n",
       "Discount        float64\n",
       "Profit          float64\n",
       "class           float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_sub.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_cols = ['Ship Mode','Segment','State','Region','Category','Sub-Category','Quantity','Discount']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_sub = pd.get_dummies(final_sub, prefix_sep=\"__\",columns=cat_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Profit                     float64\n",
       "class                      float64\n",
       "Ship Mode__First Class       uint8\n",
       "Ship Mode__Same Day          uint8\n",
       "Ship Mode__Second Class      uint8\n",
       "                            ...   \n",
       "Discount__0.45               uint8\n",
       "Discount__0.5                uint8\n",
       "Discount__0.6                uint8\n",
       "Discount__0.7                uint8\n",
       "Discount__0.8                uint8\n",
       "Length: 103, dtype: object"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_sub.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_sub['class'] = final_sub['class'].astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Profit                     float64\n",
       "class                       object\n",
       "Ship Mode__First Class       uint8\n",
       "Ship Mode__Same Day          uint8\n",
       "Ship Mode__Second Class      uint8\n",
       "                            ...   \n",
       "Discount__0.45               uint8\n",
       "Discount__0.5                uint8\n",
       "Discount__0.6                uint8\n",
       "Discount__0.7                uint8\n",
       "Discount__0.8                uint8\n",
       "Length: 103, dtype: object"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_sub.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import (confusion_matrix,accuracy_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=final_sub.drop(['class'],axis=1)\n",
    "y=final_sub['class']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train,X_test,y_train,y_test=train_test_split(x,y,test_size=.2, random_state=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Akhilesh\\Anaconda3\\lib\\site-packages\\sklearn\\discriminant_analysis.py:388: UserWarning: Variables are collinear.\n",
      "  warnings.warn(\"Variables are collinear.\")\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LinearDiscriminantAnalysis(n_components=None, priors=None, shrinkage=None,\n",
       "                           solver='svd', store_covariance=False, tol=0.0001)"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qda_model=LDA()\n",
    "qda_model.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = qda_model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.54421768707483"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 98  99]\n",
      " [102 142]]\n"
     ]
    }
   ],
   "source": [
    "print(confusion_matrix(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [],
   "source": [
    "def main():\n",
    "    d = {}\n",
    "    d['a'] = 33\n",
    "    d['b'] = 44\n",
    "    return len(d)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "print(main())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_sub.to_csv(\"C:/Users/Akhilesh/Downloads/BoC/final_sub.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "output = pd.read_csv(\"C:/Users/Akhilesh/Downloads/BoC/output.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>X</th>\n",
       "      <th>Average.Cost..avg_cost_unit_sold...qty.sold.</th>\n",
       "      <th>Unit.Retail.Price.Discount</th>\n",
       "      <th>Unit.Price.Sold</th>\n",
       "      <th>Net.Sold.Amount</th>\n",
       "      <th>TAX.RATE</th>\n",
       "      <th>TAX.AMOUNT1</th>\n",
       "      <th>LINE.ID__1</th>\n",
       "      <th>LINE.ID__2</th>\n",
       "      <th>...</th>\n",
       "      <th>Week__Friday</th>\n",
       "      <th>Week__Monday</th>\n",
       "      <th>Week__Saturday</th>\n",
       "      <th>Week__Sunday</th>\n",
       "      <th>Week__Thursday</th>\n",
       "      <th>Week__Tuesday</th>\n",
       "      <th>Week__Wednesday</th>\n",
       "      <th>Day__Normal</th>\n",
       "      <th>Day__Saturday</th>\n",
       "      <th>Day__Sunday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>123.585366</td>\n",
       "      <td>529812.255122</td>\n",
       "      <td>588729.639024</td>\n",
       "      <td>956606.312195</td>\n",
       "      <td>567467.082927</td>\n",
       "      <td>5.772358</td>\n",
       "      <td>42990.146341</td>\n",
       "      <td>0.479675</td>\n",
       "      <td>0.325203</td>\n",
       "      <td>...</td>\n",
       "      <td>0.195122</td>\n",
       "      <td>0.138211</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.211382</td>\n",
       "      <td>0.146341</td>\n",
       "      <td>0.308943</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>341.027778</td>\n",
       "      <td>553843.056759</td>\n",
       "      <td>621216.733333</td>\n",
       "      <td>966267.522222</td>\n",
       "      <td>618767.977778</td>\n",
       "      <td>6.111111</td>\n",
       "      <td>46876.629630</td>\n",
       "      <td>0.574074</td>\n",
       "      <td>0.259259</td>\n",
       "      <td>...</td>\n",
       "      <td>0.009259</td>\n",
       "      <td>0.120370</td>\n",
       "      <td>0.287037</td>\n",
       "      <td>0.583333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.12963</td>\n",
       "      <td>0.287037</td>\n",
       "      <td>0.583333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0           X  Average.Cost..avg_cost_unit_sold...qty.sold.  \\\n",
       "0           0  123.585366                                 529812.255122   \n",
       "1           1  341.027778                                 553843.056759   \n",
       "\n",
       "   Unit.Retail.Price.Discount  Unit.Price.Sold  Net.Sold.Amount  TAX.RATE  \\\n",
       "0               588729.639024    956606.312195    567467.082927  5.772358   \n",
       "1               621216.733333    966267.522222    618767.977778  6.111111   \n",
       "\n",
       "    TAX.AMOUNT1  LINE.ID__1  LINE.ID__2  ...  Week__Friday  Week__Monday  \\\n",
       "0  42990.146341    0.479675    0.325203  ...      0.195122      0.138211   \n",
       "1  46876.629630    0.574074    0.259259  ...      0.009259      0.120370   \n",
       "\n",
       "   Week__Saturday  Week__Sunday  Week__Thursday  Week__Tuesday  \\\n",
       "0        0.000000      0.000000        0.211382       0.146341   \n",
       "1        0.287037      0.583333        0.000000       0.000000   \n",
       "\n",
       "   Week__Wednesday  Day__Normal  Day__Saturday  Day__Sunday  \n",
       "0         0.308943      1.00000       0.000000     0.000000  \n",
       "1         0.000000      0.12963       0.287037     0.583333  \n",
       "\n",
       "[2 rows x 101 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "impacted = []\n",
    "for i in output.columns:\n",
    "    if output[i].iloc[0] < 0.4* output[i].iloc[1]:\n",
    "        impacted.append(i)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Akhilesh\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  after removing the cwd from sys.path.\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbcAAAEGCAYAAADmAds7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAS70lEQVR4nO3dfZBdd13H8feHpC1Q0gWKQyWpJtAFSZlBFAuCAlKgKVTyhx1NeKoY/ENbHgqOpigMRBipFgJImFFsFVpIWgLOZHgqah0VLWl4kIE0huy0A1laLNCyhKeW1K9/3NNys9nd3HTv3k1/eb/+yT2/h3N/Z/+4n/zO+Z1zUlVIktSSByz2ACRJGjbDTZLUHMNNktQcw02S1BzDTZLUnKWLPYCFNDU15VJQSWrc2NhYppc5c5MkNcdwkyQ1x3CTJDXHcJMkNcdwkyQ1x3CTJDXHcJMkNcdwkyQ1x3CTJDXHcJMkNafpx29Juu8OXLx+sYegBi3bvHUk3+PMTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1JyRhVuSNUn2JplIsnGG+pOSXN3V70yysq/ukq58b5Jz+sovTrI7yVeSbE3ywNEcjSTpWDaScEuyBNgCnAusBtYnWT2t2Qbgjqo6A9gMXNr1XQ2sA84E1gDvTbIkyXLgVcCTq+oJwJKunSTpODeqmdtZwERV3VRVdwHbgLXT2qwF3t993g6cnSRd+baqurOqbgYmuv0BLAUelGQp8GDglgU+DknS/cDSEX3PcmB/3/Yk8JTZ2lTVwSRTwKld+Wen9V1eVdcnuQz4OvAj4NNV9enZBrBv3755H4R0PDltsQegJg3rt3h8fHzO+lGFW2YoqwHbzFie5GH0ZnWrgO8CH07ykqq6aqYBHOkPIelQBxZ7AGrSqH6LR3VachI4vW97BYefQry3TXeacQy4fY6+zwFurqpvVdVPgI8CT1uQ0UuS7ldGFW67gPEkq5KcSG/hx45pbXYAF3Sfzweuq6rqytd1qylXAePADfRORz41yYO7a3NnA3tGcCySpGPcSE5LdtfQLgKupbeq8Yqq2p1kE/C5qtoBXA5cmWSC3oxtXdd3d5JrgBuBg8CFVXU3sDPJduALXfkXgb8dxfFIko5t6U2O2jQ1NdXuwUkL7MDF6xd7CGrQss1bh77PsbGxw9Zm+IQSSVJzDDdJUnMMN0lScww3SVJzDDdJUnMMN0lScww3SVJzDDdJUnMMN0lScww3SVJzDDdJUnMMN0lScww3SVJzDDdJUnMMN0lScww3SVJzDDdJUnMMN0lScww3SVJzDDdJUnMMN0lScww3SVJzDDdJUnMMN0lScww3SVJzDDdJUnMMN0lScww3SVJzDDdJUnMMN0lScww3SVJzDDdJUnMMN0lScww3SVJzDDdJUnNGFm5J1iTZm2QiycYZ6k9KcnVXvzPJyr66S7ryvUnO6St/aJLtSf4nyZ4kvzqao5EkHctGEm5JlgBbgHOB1cD6JKunNdsA3FFVZwCbgUu7vquBdcCZwBrgvd3+AN4FfKqqfgF4IrBnoY9FknTsu0/hlmRVkguTXJRkfIAuZwETVXVTVd0FbAPWTmuzFnh/93k7cHaSdOXbqurOqroZmADOSnIK8AzgcoCququqvntfjkeS1JaBwi3Jnr7PzwS+BJwHPB/4QpJnH2EXy4H9fduTXdmMbarqIDAFnDpH30cD3wL+PskXk/xdkpMHOR5JUtuWDthuRd/ntwAXVdUHAJK8uCt72hz9M0NZDdhmtvKlwC8Br6yqnUneBWwE3jDTAPbt2zfH8CRNd9piD0BNGtZv8fj43CcNBw23/iB6HLC1b3sb8NdH6D8JnN63vQK4ZZY2k0mWAmPA7XP0nQQmq2pnV76dXrjN6Eh/CEmHOrDYA1CTRvVbPOg1txOSvDzJ79ELuhP76pYCS2budq9dwHh3re5EegtEdkxrswO4oPt8PnBdVVVXvq5bTbkKGAduqKpvAvuTPK7rczZw44DHI0lq2KAzt53Ay7rPN9Jb8bir234msHeuzlV1MMlFwLX0gvCKqtqdZBPwuaraQW9hyJVJJujN2NZ1fXcnuab73oPAhVV1d7frVwIf7ALzJuDlAx6PJKlh6U2O5rGDZAw4oaq+3W2vqKrJYQxuvqampuZ3cNJx7MDF6xd7CGrQss1bj9zoKI2NjR22NmPQmdusqmpqWtGNwCnz3a8kSffVQtzEPdPqRkmSRmYhws1TgZKkReWDkyVJzTHcJEnNWYhwe/AC7FOSpIE5c5MkNWchwu2HC7BPSZIG5sxNktQcw02S1BzDTZLUHJ9QIklqzlE/W7J7xczDgduraqa3Aaye96gkSZqHgWduSV6W5FZ6D0b+T2BPkluTXNDfrqr2D3mMkiQdlYHCLclzgC3AZcAZwIO6f98OvDvJcxdshJIkHaVBT0u+CvjTqnp3X9lNwGVJfgy8GvinYQ9OkqT7YtDTkr8CbJul7hrgycMZjiRJ8zdouJ1cVbfNVNGVnzy8IUmSND8Dr5ZMEmZe5h98h5sk6RgyaLg9BDg4S53hJkk6pgwabqsWdBSSJA3RQOFWVV9b6IFIkjQsA4Vbkk1HalNVb5z/cCRJmr9BT0uevqCjkCRpiAY9LfnyhR6IJEnD4itvJEnNGUq4JfneMPYjSdIwDGvm9vwh7UeSpHkbSrhV1WeGsR9JkoZh0FfevHva9oZp2x8Z5qAkSZqPQWduvztt+6+mbfs+N0nSMWPQcJv+wOSZHqAsSdIxYdBwm/5gZB+ULEk6Zg36hJKlSX6Dn87Ypm8vGfrIJEm6jwYNt9uAK/q2vzNte8YXmUqStBgGffzWygUehyRJQzOyx28lWZNkb5KJJBtnqD8pydVd/c4kK/vqLunK9yY5Z1q/JUm+mORjC38UkqT7g0FfeXMzcy8iqap6zBz9lwBb6N0yMAnsSrKjqm7sa7YBuKOqzkiyDrgU+J0kq4F1wJnAo4B/TvLYqrq76/dqYA9wyiDHIklq36DX3F4xS/kvA38MHDxC/7OAiaq6CSDJNmAt0B9ua4E3dZ+3A+9Jkq58W1XdCdycZKLb3/VJVgAvAN4KvHbAY5EkNW7Qa27/0r+d5PHAnwO/AVwGvHumfn2WA/v7tieBp8zWpqoOJpkCTu3KPzut7/Lu8zvpheuyQY5DknR8GHTmBkCSRwNvBs4D3gNsqKqpQbrOUDb9NOdsbWYsT3IecFtVfT7Js440gH379h1xkJJ+6rTFHoCaNKzf4vHx8TnrB73mthx4A7AeeB8wXlXfPopxTHLo27xXALfM0mYyyVJgDLh9jr4vBF6Y5PnAA4FTklxVVS+ZaQBH+kNIOtSBxR6AmjSq3+JBZ24TwPfpnYL8Br1QOaRBVV0xQ7977ALGk6zq+q8DXjStzQ7gAuB64HzguqqqJDuADyV5B70FJePADVV1PXAJQDdz+6PZgk2SdHwZNNx20jtF+OxZ6otDb+o+tLJ3De0i4Fp6TzO5oqp2J9kEfK6qdgCXA1d2C0ZupxeAdO2uobf45CBwYd9KSUmSDpOqdh8TOTU11e7BSQvswMXrF3sIatCyzVuHvs+xsbHD1maM7CZuSZJGZdAFJfs58k3cPz+cIUmSND+DXnOba6HGCcAbhzAWSZKGYtCbuP9ttrokJwFPH9qIJEmaJ6+5SZKaY7hJkpoz6IKS2e5vAzhxSGORJGkoBl1QcvkR6r8+34FIkjQsgy4oWbXQA5EkaVi85iZJao7hJklqjuEmSWqO4SZJao7hJklqjuEmSWqO4SZJao7hJklqjuEmSWqO4SZJao7hJklqjuEmSWqO4SZJao7hJklqjuEmSWqO4SZJao7hJklqjuEmSWqO4SZJao7hJklqjuEmSWqO4SZJao7hJklqjuEmSWqO4SZJao7hJklqjuEmSWrOyMItyZoke5NMJNk4Q/1JSa7u6ncmWdlXd0lXvjfJOV3Z6Un+NcmeJLuTvHpUxyJJOraNJNySLAG2AOcCq4H1SVZPa7YBuKOqzgA2A5d2fVcD64AzgTXAe7v9HQReV1WPB54KXDjDPiVJx6FRzdzOAiaq6qaqugvYBqyd1mYt8P7u83bg7CTpyrdV1Z1VdTMwAZxVVbdW1RcAquoAsAdYPoJjkSQd40YVbsuB/X3bkxweRPe2qaqDwBRw6iB9u1OYTwJ2DnHMkqT7qaUj+p7MUFYDtpmzb5KHAB8BXlNV35ttAPv27RtgmJLucdpiD0BNGtZv8fj4+Jz1owq3SeD0vu0VwC2ztJlMshQYA26fq2+SE+gF2wer6qNzDeBIfwhJhzqw2ANQk0b1Wzyq05K7gPEkq5KcSG+ByI5pbXYAF3Sfzweuq6rqytd1qylXAePADd31uMuBPVX1jpEchSTpfmEkM7eqOpjkIuBaYAlwRVXtTrIJ+FxV7aAXVFcmmaA3Y1vX9d2d5BrgRnorJC+sqruT/BrwUuDLSf67+6rXV9UnRnFMkqRjV3qTozZNTU21e3DSAjtw8frFHoIatGzz1qHvc2xs7LC1GT6hRJLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1BzDTZLUHMNNktQcw02S1JyRhVuSNUn2JplIsnGG+pOSXN3V70yysq/ukq58b5JzBt2nJOn4NJJwS7IE2AKcC6wG1idZPa3ZBuCOqjoD2Axc2vVdDawDzgTWAO9NsmTAfUqSjkNLR/Q9ZwETVXUTQJJtwFrgxr42a4E3dZ+3A+9Jkq58W1XdCdycZKLbHwPsU9J9tGzz1sUegnSfjeq05HJgf9/2ZFc2Y5uqOghMAafO0XeQfUqSjkOjCrfMUFYDtjnacknScW5UpyUngdP7tlcAt8zSZjLJUmAMuP0Ifefc59jY2EwBKElq3KhmbruA8SSrkpxIb4HIjmltdgAXdJ/PB66rqurK13WrKVcB48ANA+5TknQcGkm4ddfQLgKuBfYA11TV7iSbkrywa3Y5cGq3YOS1wMau727gGnoLRT4FXFhVd8+2z1Ecj+bmLRo6XiS5IsltSb6y2GPRodKbHEnD0d2i8VXgufROKe8C1leVq1jVnCTPAL4PfKCqnrDY49FP+YQSDdu9t31U1V3APbdoSM2pqn+ntzZAxxjDTcPmLRqSFp3hpmHzFg1Ji85w07ANctuHJC0ow03D5i0akhad4aah8hYNHU+SbAWuBx6XZDLJhsUek3q8FUCS1BxnbpKk5hhukqTmGG6SpOYYbpKk5hhukqTmGG6SDpNkZZLq3q0o3e8YbtI8dAFwxrSyNyW5arHGtBiSPDzJPyb5QZKvJXnRYo9Jxzf/VyZpGLYAdwGPBH4R+HiSL3kDvxaLMzdpASV5Vvfkitd1L7W8NcnL++r/IcmWJB9PciDJziSP6at/V5L9Sb6X5PNJfr2v7k1JPpzkqq7vl5M8Nskl3XftT/K8vvZjSS7vxvCNJG/p3r9HkiVJLkvy7SQ3AS84imM8Gfgt4A1V9f2q+gy9R669dF5/PGkeDDdp4Z0GjNF79c8GYEuSh/XVrwfeDDwMmADe2le3i95M6OHAh4APJ3lgX/1vAld2fb9I77FnD+i+axPwN31t3w8cBM4AngQ8D3hFV/f7wHld+ZOB8/sPIMnGJB+b5fgeC9xdVV/tK/sScOYs7aUFZ7hJC+8nwKaq+klVfYLem5sf11f/0aq6oXsu5wfphRkAVXVVVX2nqg5W1duBk6b1/Y+qurbr+2HgZ4C3VdVP6L0odmWShyZ5JHAu8Jqq+kFV3QZspvdga4DfBt5ZVfur6nbgL/oPoKreVlXnzXJ8DwGmppVNAcsG+utIC8BrbtL83A2cMK3sBHqBdo/vdOFzjx/SC4R7fHO2uiSvoze7ehS99+KdAjyir/3/9n3+EfDtqrq7b5tuf4/qxnVrcu8r9x7AT18s+ygOfcns1xjc97tx9TsFOHAU+5CGynCT5ufrwEp6b0C4xyrgqzO2Pgrd9bU/Ac4GdlfV/yW5g5lfCHsk+4E7gUdMC9p73Mqh7+H7uaPY91eBpUnGq2pfV/ZEwMUkWjSelpTm52rgz5KsSPKAJM+hdx1s+xD2vYzeNbJv0QuPN3L4DGkgVXUr8Gng7UlO6cb6mCTP7JpcA7yqO46HARuPYt8/AD4KbEpycpKnA2vpXQuUFoXhJs3PJuC/gM8AdwB/Cby4qr4yhH1fC3yS3szoa8CPOfTU4dF6GXAicCO9sW4Hfrare1/3fV8CvkAvrO6V5PVJPjnHvv8QeBBwG7AV+ANvA9Bi8n1ukqTmOHOTJDXHcJMkNcdwkyQ1x3CTJDXHcJMkNcdwkyQ1x3CTJDXHcJMkNcdwkyQ15/8B3IypOITALc8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb0AAAEXCAYAAAA5qZrMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3de5xdZX3v8c/XxKBIGCUol4ASmsEjWsGjopYqVpQGK8RWlIkeQEWrrVRFWgWPWAxa0SONtiAvRLBAJYCodbyicqlSCyRSUAMNGQOagZRrHAMoEPieP9YastlzWzuz1sxk5vt+vfaLtdbzrGf/dv6YH89az0W2iYiImAmeMNkBRERETJQkvYiImDGS9CIiYsZI0ouIiBkjSS8iImaMJL2IiJgxkvQiImLGSNKLiIgZo1LSk3SmpO2aDiYiIqJJVXt6OwA3Sjq4yWAiIiKapKrLkEk6FDgNuBJ4n+0NDcYVERFRu8pJD0DSXOAC4I+AO1rLbO9db2gRERH1ml21oqRZwPuB/YFTgFVNBRUREdGESklP0guBLwF3AS+yvbbRqCIiIhpQ6fGmpHuBE2yf2XxIERERzaia9Ha3vW4C4omIiGhM1SkLp7SeSPpg2/mVdQUUERHRlKo9vd/a3r7l/F7bO4xUHhERMRVV7elpjPOIiIgpr2rSa+8OVp/cFxERMUVUnaf3RElvZHMPr/288ny/iIiIyVL1nd5Kxujd2X5xXUFFREQ0oaNlyKaTgYGBmfnDIyJmiK6uriHjT7b4saSklwHPA661fcN4AouIiJgIVffTO1vS21rO/wb4EfAB4Ory/V5ERMSUVnX05oHA9wAkCfgI8DbbzwGWAMc3E15ERER9Km8ia3t9ebwP8BTgwvK8F9iz7sAiIiLqVjXp3Stp9/L4lRTv8TaV508i8/YiImIrUHUgy7nAv0n6NvCXwIdayvYHbq47sIiIiLpVTXonAXcCLwL+3va5LWV7AJ+rN6yIiIj6ZZ5eRERMS1s8T0/SB8aoYtvLtiiqiIiICVL18ebLR7hu4BXA04AkvYiImNIqJT3bf95+TdIrgU8AG4G/qzesiJiqNh67ZLJDiGlq7rLljX9H1SkLj5G0n6QfAF8uP3vZ/lLtkUVERNSsctKT9HxJvcC3ge8DC21/3vbDjUUXERFRo6prby4HrgBWAHvY/n+2f9doZBERETWr2tM7HNge+DBwl6QHWj6/k/RAcyFGRETUo+rozT9sNIqIiIgJUHX05qqmA4mIiGha1cnpHxyrju1Pjz+ciIiI5lR9p/fiCp9RSVokabWkPklD9t+TtI2ki8ryayTtUV6fJ+kKSfdJOq2l/lxJ17d87pb02bLsrZLuail7R8XfGRER01jVx5vj2hld0izgdOA1QD+wQlKv7Rtbqh0NbLC9UFIP8CmKATS/B04Enld+BmPaCOzb8h0/Bb7W0t5Fto8ZT9wRETG9dDw5vZ2khZLGmpy+H9Bne63thyg2oF3cVmcxxRZGAJcAB0qS7fttX0WR/EaKoRt4BvDjLfoRERExI1SdpzdH0ockLZe0VNK2kuZLOh/4WYV25gPrWs77y2vD1ik3qB0A5lWJD1hC0bNr3TnhDZJ+JumSlg1wIyJiBqs6ZeGfgQOAy4Ae4AXAPhSPE/ey3T/G/UO2d2DobutV6oykBzii5fybwHLbD0p6N0UP8lUj3bxmzZqKXxMRO092ADFt1fG3uLu7e9TyqknvdcCLbd9eDjBZC/yp7R9UvL8faO1t7QbcPkKdfkmzgS7g3rEalrQPMNv2Twev2b6npcpZFO8HRzTWP1JEbLZxsgOIaWsi/hZXfac31/btALZvBe7vIOFBsXxZt6QFkuZQ9Mx62+r0AkeVx4cBl7c9rhzJEuBxS3NL2qXl9FDgpg5ijYiIaapqT2+WpBez+RHko23n2L52pJttb5J0DHApMAs4x/YqSUuBlbZ7gbOB8yX1UfTwegbvl3QrxTJocyS9HjioZeTnm4DXtn3leyUdCmwq23prxd8ZERHTmKp0piTdzejv12z7GbVFNQEGBgaqvi+MiBbZTy+aUvd+el1dXUPGilSdp7djrZFERERMgnHP04uIiNha1JL0JF1URzsRERFNqqunl4luEREx5dWS9Gx/pI52IiIimjSupFfOu/t7Sb+sK6CIiIimdJz0yi19jpb0I6CPYrWWj9ceWURERM2qbiIr4CCKSd6Lgbsodkp4HvBntu9sKsCIiIi6VF2R5TbgScDFwCLbPwKQdGRTgUVERNSt6uPN24G5wLOA3SVt21xIERERzaiU9Gy/iGIroZ9R7Fhwp6TlwLYMvyVQRETElFN5IIvtG21/CHgmxS4IBp4IXCfpow3FFxERUZuOR2/aftT292y/mWI/yZOA19QdWERERN3GNU/P9m9tn2X75XUFFBER0ZSqUxZ+NlYd288ffzgRERHNqTpl4bnAzcB5wI1j1I2IiJiSqia9ZwFHlJ/7KZLfctt3NxVYRERE3apOWei3/UnbewPvAfYCbpD0b5J2bzTCiIiImlTt6T3G9rWSZlPM0Rscwbmu7sAiIiLqVnn0pqRnSfqopJuBzwArgV1tr6h4/yJJqyX1STp+mPJtJF1Ull8jaY/y+jxJV0i6T9JpbfdcWbZ5ffl5xmhtRUTEzFZ19OaVwO7Al4HX2u7r5EskzQJOp5jP1w+skNRru3VQzNHABtsLJfVQrPxyOPB74ESKxa2fN0zzb7G9su3aSG1FRMQMVrWn9wpgPvB3wM8kPdDy+Z2kB8a4fz+gz/Za2w9R7NCwuK3OYuDc8vgS4EBJsn2/7asokl9Vw7bVwf0RETENVX2n94fj/J75PP69Xz/wkpHq2N4kaQCYB4w1QvRLkh4Bvgp83LbH0VZERExjlZKe7VUjlZU7LhwGjFiH4Rel9hbUafcW27dJmkuR9I6gmE7RUVtr1qwZ42siYtDOkx1ATFt1/C3u7u4etbzj0ZuDJL0KOBJ4A3AnRbIZST/FO8FBu1FsVzRcnf5ydGgXcO9oMdi+rfzvRkkXUDxGPa/Ttsb6R4qIzTZOdgAxbU3E3+KO1t6UtJekj0v6FfAdiikL7wQWjnHrCqBb0gJJc4AeoLetTi9wVHl8GHB5+ahypFhmS9qxPH4i8DrgF1vSVkREzAxVR2++myKJvAj4MXAyxePEG6mQUMr3ascAlwKzgHNsr5K0FFhpuxc4GzhfUh9Fr6yn5ftvBbYH5kh6PXAQ8Cvg0jLhzQJ+CJxV3jJiWxERMXOpSgdI0qPAPcC7bH+t5fp6YB/bdzYXYjMGBgbS84vYAhuPXTLZIcQ0NXfZ8lrb6+rqGjK+o+rjzUOBK4AvS1oj6WOSns3YA00iIiKmjKprb37L9puAXYB/pHi8eBOwE/B/JG3XXIgRERH16Gggi+3f2D7D9suA51CsdPJ+4LYmgouIiKjTFu+cbnu17Q9TbDv0F/WFFBER0YwtTnqDypGbWekkIiKmvHEnvdJVNbUTERHRmLqS3k41tRMREdGYWpKe7bF2WYiIiJh0tSS9crWViIiIKa2ux5tvrKmdiIiIxtT1ePOAOtqJiIhoUl09vYiIiCmvrnd6F9XRTkRERJPq6ull6/GIiJjy6nqn95E62omIiGhS3ulFRMSMUdc7vdvraCciIqJJdfX03lZTOxEREY2p653epXW0ExER0aS6Hm/uU6HOIkmrJfVJOn6Y8m0kXVSWXyNpj/L6PElXSLpP0mkt9beV9G1J/y1plaRTWsreKukuSdeXn3fU8TsjImLrNiFbC0maBZwOHAzsDSyRtHdbtaOBDbYXAssodmUH+D1wIvC3wzT9Gdv/C3gBsL+kg1vKLrK9b/n5Yse/KCIipp2J2lpoP6DP9lrbDwEXAovb6iwGzi2PLwEOlCTb99u+iiL5Pcb2A7avKI8fAq4Ddhvn74iIiGmsUtKTNOpAlQpbC80H1rWc95fXhq1jexMwAMyrGN9TgUOAy1ouv0HSzyRdImn3Ku1ERMT0NrtiveMl9QDvsL1uzNpDaZhr3oI6QxuWZgPLgX+yvba8/E1gue0HJb2bogf5qpHaWLMmC8pEVLXzZAcQ01Ydf4u7u7tHLa+a9J4PnARcL+kjts/oMI5+oLW3tRvQPrdvsE5/mci6gHsrtP0FYI3tzw5esH1PS/lZbH4/OKyx/pEiYrONkx1ATFsT8be4UtKz/SBwgqQLgbMlHQnc1Fbn7aM0sQLolrQAuA3oAd7cVqcXOAr4T+Aw4HLbo/b0JH2cIjm+o+36LrbXl6eHtscaEREzU9We3qCdgB0pBo3cVvUm25vK3dUvBWYB59heJWkpsNJ2L3A2cL6kPooeXs/g/ZJuBbYH5kh6PXAQ8Fvg/wL/DVwnCeC0cqTmeyUdCmwq23prh78zIiKmIY3RmSoqFQNFPgu8GvjrMklt1QYGBsb+4RExxMZjl0x2CDFNzV22vNb2urq6howVqTpl4UaKQSXPmw4JLyIiZqaqjzfflqXGIiJia1c16W2U9EejVbD9kxriiYiIaEzVpPfVEa4bmAtsSzFAJSIiYsqqOmVhl/ZrknYETgDeCWRty4iImPI6XntT0vaSTgbWAE8HXmD7XbVHFhERUbPKSa/cyufDwC0UOyXsb/tI279sLLqIiIgaVV1w+n3AWmB/4NW232D7xkYji4iIqFnVgSzLKFY22RY4tVz95HFsj7igc0RExFRQNem9s9EoIiIiJkDV0ZtnNx1IRERE0yolPUntOyIMYfuC8YcTERHRnKqPN/9mhOsGuoEdgCS9iIiY0qo+3nxZ+zVJzwWWAs8GPlJzXBEREbXbksnpe0o6H7gKWAXsafuTtUcWERFRs04mp8+X9AXgeuBOoNv2R20PNBZdREREjapOTl9Gsafew8CzbR9n++5GI4uIiKhZ1YEs7wM2Aq8FDh5hcvqeNcYVERFRu6pJ7zWNRhERETEBqo7evGy8XyRpEfA5in33vmj7lLbybYDzgBcC9wCH275V0jzgEuDFwL/YPqblnhcC/wI8GfgO8D7blrQDcBGwB3Ar8CbbG8b7GyIiYutWdXL6kWPVsX3eKPfPAk6n6DH2Aysk9bYtWn00sMH2Qkk9wKeAw4HfAycCzys/rc4A/hK4miLpLQK+CxwPXGb7FEnHl+cfqvJbIyJi+qpr7U1T9NJGsh/QZ3stgKQLgcUUg2MGLQZOKo8vAU6TJNv3A1dJWtjaoKRdgO1t/2d5fh7weoqktxh4ZVn1XOBKkvQiIma8qo83Xz5auaSnjdHEfGBdy3k/8JKR6tjeJGkAmAeMNEp0ftlOa5vzy+OdbK8v21ov6RmjBbdmzZoxwo+IQTtPdgAxbdXxt7i7u3vU8qqPN0+1fdwIZfOAHwIvGK2JYa55C+qMp/6IxvpHiojNNk52ADFtTcTf4qqT0w+RdHL7RUk7Az+iWJllNP3A7i3nuwG3j1RH0mygi2IPv9Ha3G2ENu8oH38OPga9c4z4IiJiBqia9A4E3iLpsTU2Jc2nSHjXAEeMcf8KoFvSAklzgB6gt61OL3BUeXwYcLntEXtu5ePLjZJeqmLi4JHAN4Zp66iW6xERMYNVfae3TtKBwL9L+h3FQJMrgO/bfneF+zdJOga4lGLKwjm2V0laCqy03QucDZwvqY+ih9czeL+kW4HtgTmSXg8cVI78/Cs2T1n4bvkBOAW4WNLRwK+BN1b5nRERMb1plM7U0MrFCMp/B7YBzrd9bFOBNW1gYGCL3v9FzHQbj10y2SHENDV32fJa2+vq6hoy9qPqQJZzWk7XAs8Hulqv2377uCOMiIhoUNV5ere1HV9ZfygRERHNqvpO78SmA4mIiGha1a2FdpO0a8v5kyR9TNJXJf2tpI43o42IiJhoVZPVOcBLW85Pp5gi8Gvg3cDSmuOKiIioXdWkty/FdAMkbQssAd5Yjt48pDyPiIiY0qomvTnlws9QLB59n+2VALZvAp7eRHARERF1qpr0bpU0uOj06ygmpgMg6enAA3UHFhERUbeqUxY+BvRKWgP8IfAnLWWHAivrDiwiIqJuVacsfF3SKoqdFH5qu6+leA1wQhPBRURE1KlqTw/bNwM3D3P9R7VGFBER0ZBa5tdJ+qc62omIiGhSXZPKn1xTOxEREY2pvCLLaOW231lPOBEREc2p2tO7sdEoIiIiJkDVpDdkT6KIiIitTdXRm5YkRkl+th+tJ6SIiIhmVE162wGbRigTYGBWLRFFREQ0pGrSewB4bpOBRERENK3qO71Hbf9qtM9YDUhaJGm1pD5Jxw9Tvo2ki8ryayTt0VJ2Qnl9taQ/La89W9L1LZ/fSnp/WXaSpNtayl5b8XdGRMQ0VrWnN66BLJJmUezB9xqgH1ghqdd266jQo4ENthdK6gE+BRwuaW+gh6KnuSvwQ0l72V5NseXRYPu3AV9vaW+Z7c+MJ+6IiJheqvb0Dh7n9+wH9Nlea/sh4EJgcVudxcC55fElwIHl4JnFwIW2H7R9C9BXttfqQOCXVXqcERExc1VdcPoqSX8JvJWix7UdcB+wCviS7bPGaGI+sK7lvB94yUh1bG+SNADMK69f3Xbv/LZ7e4DlbdeOkXQkxQ4Qx9neMFJwa9asGSP8iBi082QHENNWHX+Lu7u7Ry2vlPQknUKxQ/qpwA3AALA9xePFD0ja0/ZoOy0M93jUFeuMeq+kORTbG7V+/xnAyWW9k8u43z5ScGP9I0XEZhsnO4CYtibib3HVd3pHA8+3vb7t+nWSvgf8jNG3F+oHdm853w24fYQ6/ZJmA13AvRXuPRi4zvYdgxdajyWdBXxrlNgiImKGqGtFlrHKVwDdkhaUPbMeoLetTi9wVHl8GHC5bZfXe8rRnQuAbuDalvuW0PZoU9IuLad/DvxijPgiImIGqNrTOxu4XFL74819gA8Ao77TK9/RHQNcSjGJ/RzbqyQtBVba7i2/43xJfRQ9vJ7y3lWSLqZY/3MT8B7bjwBI2pZiROi72r7y05L2pXi8eesw5RERMQOp6ExVqCi9CziSoQNZzrN9ZmMRNmRgYKDaD4+Ix9l47JLJDiGmqbnL2scjjk9XV9eQp5Cd7Jx+JrDVJbeIiIhBde2c/sw62omIiGjSuJOepG2AW2qIJSIiolFV5+m9YpTibWqKJSIiolFV3+ldCawHsmdeRERstaomvV8Bb7H9k/YCSU8C7q81qoiIiAZUfae3EnjRCGWPAr+uJ5yIiIjmVO3pvXmkgnLXhAX1hBMREdGcqrssPNx0IBEREU2rOnpTblm6RdLLgL+gWHPzG7Z/3FB8ERERtan6Tm9g8EDSX1CsobkdsC3wLUlvbCC2iIiIWlV9p9e6ftkJwOG2vwsg6d+ATwFfqTm2iIiIWlXt6bUuzryAoqc36AdkIEtERGwFqvb0tim3ARrUBWwoj7dl6C7oERERU07VpHcBm3cv/ybwLDYnvUXAz2uOKyIionZVpyy8bZSyrwJfHTyXtL/t/6ghtoiIiFrVsrVQm+820GZERMS4NZH0huxUGxERMRU0kfQyqCUiIqakJpLesCQtkrRaUp+k44cp30bSRWX5NZL2aCk7oby+WtKftly/VdLPJV0vaWXL9R0k/UDSmvK/T2v690VExNQ3IUlP0izgdOBgYG9giaS926odDWywvRBYRjHhnbJeD/BcipGiny/bG/Qntve13boLxPHAZba7gcvK84iImOGaSHpPHubafkCf7bXlrgwXAovb6iwGzi2PLwEOlKTy+oW2H7R9C9BXtjea1rbOBV7f+c+IiIjppuo8vU78bphr84F1Lef9wEtGqmN7k6QBYF55/eq2e+eXxwa+L8nAmba/UF7fyfb6sq31kp4xWsBr1qwZ80dFRGHnyQ4gpq06/hZ3d3ePWt5E0hvOcCM62we8jFRntHv3t317mdR+IOm/bf+o0+DG+keKiM02TnYAMW1NxN/iiRrI0s/mFV0AdgNuH6mOpNkUS53dO9q9tgf/eyfwdTY/9rxD0i5lW7sAd9b4WyIiYis1UUlvBdAtaYGkORQDU3rb6vQCR5XHhwGXl3v49QI95ejOBUA3cK2kp0iaCyDpKcBBwC+Gaeso4BsN/a6IiNiKTMjjzfId3TEUuzPMAs6xvapcxHql7V7gbOB8SX0UPbye8t5Vki4GbgQ2Ae+x/YiknYCvF2NdmA1cYPt75VeeAlws6Wjg10D2+4uICNSyIXo9DUobbc+ttdEGDAwMZBJ9xBbYeOySyQ4hpqm5y5bX2l5XV9eQMSEdP96UNE/SEZI+WJ7vKmm3wfKtIeFFRMTM1FHSk3QAsBp4C3BiebkbOKPmuCIiImrXaU/vs8DhthdRvF8DuIaxJ4tHRERMuk6T3h62LyuPB9+JPcTEzfeLiIjYYp0mvRtbF3wuvZrsnB4REVuBTntoxwHfkvRt4MmSzgQOYeg6mhEREVNORz0921cD+wCrgHOAW4D9bK9oILaIiIhadfwuzvZtwKcbiCUiIqJRHSU9SV3Ae4EXANu1ltk+qMa4IiIiatdpT+8rFMuIfZ3htxCKiIiYsjpNei8F5tl+uIlgIiIimtTplIWrgOc0EUhERETTOu3pvRX4jqRrgDtaC2wvrSuoiIiIJnSa9D5BsaHrrcD2LdezY0FEREx5nSa9HmAv2+ubCCYiIqJJnb7TWwtkEEtERGyVOu3pnQ/0Svpnhr7Tu7y2qCIiIhrQadJ7T/nff2i7bmDP8YcTERHRnI6Snu0FTQUSERHRtE7f6W0xSYskrZbUJ+n4Ycq3kXRRWX6NpD1ayk4or68e3NpI0u6SrpB0k6RVkt7XUv8kSbdJur78vHYifmNERExtna69uT1wEnAAsCOgwTLbzxzlvlnA6cBrgH5ghaRe2ze2VDsa2GB7oaQe4FPA4ZL2phg1+lxgV+CHkvai2Ln9ONvXSZoL/FTSD1raXGb7M538voiImN467el9HvjfwFJgB+BvgF8Dy8a4bz+gz/Za2w8BFzJ0D77FwLnl8SXAgZJUXr/Q9oO2bwH6KLYzWm/7OgDbG4GbgPkd/p6IiJhBOh3IchDwHNv3SHrE9jckrQS+yeiJbz6wruW8H3jJSHVsb5I0AMwrr1/ddu/jklv5KPQFwDUtl4+RdCSwkqJHuGGk4NasWTNK6BHRaufJDiCmrTr+Fnd3d49a3mnSewIwUB7fJ+mpwHpg4Rj3aZhr7au4jFRn1HslbQd8FXi/7d+Wl88ATi7rnQycCrx9pODG+keKiM02TnYAMW1NxN/iTh9v3kDxPg/gxxTv6c4Abh7jvn6K5csG7QbcPlIdSbOBLuDe0e6V9ESKhPdl218brGD7DtuP2H4UOIvi8WpERMxwnSa9d1KsuwnFZrK/A54KHDnGfSuAbkkLJM2hGJjS21anFziqPD4MuNy2y+s95ejOBUA3cG35vu9s4Cbb/9jakKRdWk7/HPhF9Z8YERHTVafz9Na2HN8FvKPifZskHQNcSrEJ7Tm2V0laCqy03UuRwM6X1EfRw+sp710l6WLgRooRm++x/YikPwaOAH4u6fryqz5s+zvApyXtS/F481bgXZ38zoiImJ5UdKY6uEE6CNgX2K71uu2P1hhX4wYGBrIzRMQW2HjskskOIaapucuW19peV1fXkDEhnc7TOw14E3AF8EBNcUVEREyITkdvLgH2tb1uzJoRERFTTKcDWe4BftNEIBEREU3rtKd3KvBlSZ9k6NZCa4e/JSIiYmroNOmdUf73dW3XTTEqMyIiYsrqdMrChO3KEBERUbcksYiImDFqSXqSPl9HOxEREU2qq6c33KLQERERU0otSc/2X9XRTkRERJM6SnqS/muE6yvrCSciIqI5nfb0huybV+52sGc94URERDSn0pQFSeeVh3NajgftAayqM6iIiIgmVJ2n98sRjg38B/CV2iKKiIhoSKWkZ/tjkmYBdwNftP1gs2FFRETUr/I7PduPAJ9IwouIiK1VpwNZvinpkEYiiYiIaFinC04/CbhE0n8C6yje6QFg+8g6A4uIiKhbp0nvF+UnIiJiq9PpLgsf29IvkrQI+BzFFkRftH1KW/k2wHnACyk2qz3c9q1l2QnA0cAjwHttXzpam5IWABcCOwDXAUfYfmhLY4+IiOmh42XIJP2JpHMkXVr+91UV7pkFnA4cDOwNLJG0d1u1o4ENthcCy4BPlffuDfQAzwUWAZ+XNGuMNj8FLLPdDWwo246IiBmuo56epHcA/wB8EbgGeCZwgaQTbZ81yq37AX2Du6tLuhBYDNzYUmcxcFJ5fAlwWrnay2LgwnLU6C2S+sr2GK5NSTcBrwLeXNY5t2x3cAPciBiHucuWT3YIEVus03d6HwReY/uGwQuSLgK+CoyW9OZTDHwZ1A+8ZKQ6tjdJGgDmldevbrt3fnk8XJvzgN/Y3jRM/YiImME6fbw5j8f3zgBWU7w7G81wWw+5Yp26rkdExAzXaU/vKuAfJX3I9gOSngJ8EvjJGPf1A7u3nO8G3D5CnX5Js4Eu4N4x7h3u+t3AUyXNLnt7w30XXV1d2QMwImKG6bSn927g+cCApDuA3wD7AO8a474VQLekBZLmUAxM6W2r0wscVR4fBlxu2+X1HknblKMyu4FrR2qzvOeKsg3KNr/R4e+MiIhpqKOkZ3u97QOABcAhwALbB9ge0pNqu28TcAxwKXATcLHtVZKWSjq0rHY2MK8cqPIB4Pjy3lXAxRSPVb8HvMf2IyO1Wbb1IeADZVvzyrZjkklaJGm1pD5Jx092PBFNKUe23ykp85qnGBUdow5vkp4BbNd6bXAUZcRwyikmNwOvoXhkvQJYYrv9HXHEVk/SK4D7gPNsP2+y44nNOp2ysIii17RLW5EpJohHjKTKtJWIacH2jyTtMdlxxFCdvtM7HTgZeIrtJ7R8kvBiLMNNW8lUkoiYUJ2O3nwacKa35JlozHSZShIRk67Tnt7ZwNuaCCSmvSrTViIiGjVmT0/Sj9n8f+QC3leOvPuf1nq2X1F/eDGNPDbFBLiNYorJm0e/JSKiXlUeb35xjPOIMZVLyw1OMZkFnNMyxSRiWpG0HHglsKOkfuDvbWfq1BRQacqCpBcCD9r+RXn+DOCzFDsfXA0cZ/u+JgONiIgYr6rv9D4L7KKWBdwAAAPUSURBVNxy/gWKlVG+QJH4Pl1zXBEREbWr2tO7G5hv+0FJTwXuAp5r+2ZJuwM/sb376K1ERERMrqo9vdnA4M7jLwXW274ZwPY64KkNxBYREVGrqklvFfDG8rgH+OFggaT5wEDNcUVERNSu6uPNPwa+STF14RHgj22vLss+ALzE9uFNBhoRETFelRecljQX2Au42fbGluvPBjaOtdNCREwP5ZqStwBPLHc7idhqVF6RxfZG2z9tTXjl9dVJeBFDSbKkhW3XTpL0r5MV02SQtIOkr0u6X9KvJGVRgpg0na69GRHRqdMpBsLtBOwLfFvSDVmcICZDp2tvRkRNJL1SUr+k48oNR9dLeltL+b9IOl3StyVtlHSNpD9oKf+cpHWSfivpp5Je3lJ2kqSvSPrX8t6fS9pL0gnld62TdFBL/S5JZ5cx3Cbp4+UeiEiaJekzku6WtBb4sw5+41OANwAn2r7P9lVAL3DEuP7xIrZQkl7E5NoZ6KLYZulo4HRJT2spXwJ8jGKHkz7gEy1lKyh6TjsAFwBfkfSklvJDgPPLe/+LYgm4J5TftRQ4s6XuucAmYCHwAuAg4B1l2TuB15XXXwQc1voDJB0v6Vsj/L69gEcGpziVbqBY1CJiwiXpRUyuh4Glth+2/R2K3baf3VL+NdvXlgNGvkyR5ACw/a+277G9yfapwDZt9/7Y9qXlvV8Bng6cYvth4EJgD0lPlbQTcDDwftv3274TWEYxPQngTcBnba+zfS/wydYfYPsU268b4fdtx9ApTQPA3Er/OhE1yzu9iOY8Ajyx7doTKRLdoHvaRkA+QJEoBv3PSGWSjqPoje1KMZ1oe2DHlvp3tBz/Drjb9iMt55Tt7VrGtV56bNvDJ7B5099defwGwL+iuvvKuFptD2wcpm5E45L0Iprza2AP4KaWawuAm4et3YHy/d2HgAOBVbYflbSB4TfrHcs64EFgxxGmIKzn8XshPrODtm8GZkvqtr2mvLYPxYIXERMujzcjmnMR8BFJu0l6gqRXU7xnu6SGtudSvIO7iyKpfJShPapKbK8Hvg+cKmn7MtY/kHRAWeVi4L3l73gacHwHbd8PfA1YKukpkvYHFlO8a4yYcEl6Ec1ZCvwEuArYQLEbyVsGt+gap0uB71L0pH4F/J7HP4Ls1JHAHOBGilgvAXYpy84qv+8G4DqKJPYYSR+W9N1R2v5r4MnAncBy4K8yXSEmS+UVWSIiIrZ26elFRMSMkaQXEREzRpJeRETMGEl6ERExYyTpRUTEjJGkFxERM0aSXkREzBhJehERMWMk6UVExIzx/wH42x9LqbZn2AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAb0AAAEWCAYAAADy9UlpAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3de5RddX338ffHBCJCGCBWhYASZKCCS1Fb8FkqVhGKVI22CBMtYAXqBR6Vh64KbfESrAKPNtqC1gKpgJpwUcpQpSiCS/GCAYqPBgxJwyWBCAJxCBfBhM/zx95DDiczc/bJ7D0zmfm81pqVvffvt3/ne2atzHf99v5dZJuIiIip4FnjHUBERMRYSdKLiIgpI0kvIiKmjCS9iIiYMpL0IiJiykjSi4iIKSNJLyIipowkvYiImDKS9CIiYsqYXqWSpH/rUMW231dDPBEREY2plPSAB4e5vg3wl8COQJJeRERMaNqctTclTQOOB/4BuB34e9s/qTm2iIiIWlXt6QEgScBRwMeB+4BjbH+vicAiIiLqVjnpSTocOB14HPiI7SsbiyoiIqIBlR5vSroZ2A04C7gE2OQm23fXHl1ERESNqia9p1pODaitim1PqzOwiIiIulV9vLlVo1FERESMgc0avRkREbElqjo5/Q42fY/3e+AuYJHtf687sIiIiLpVfbx53BDXtgLmAB+VtJPtz9UXVkRERP1G/XhT0t5Av+296wkpIiKiGbW805P0W9s71BDPmBkYGMjLzIiISaynp6d9psHod1mQ9CrgntG2ExER0bSqA1mOHuLyVsDuwLHAaTXGFBER0YiqA1mOH+LaeuBu4Djb364vpIiIiGZUSnq2X9d0IBEREU2r453ePpIW1RFMREREkyolPUnbSPq4pMslnSVppqQXSboUWAI83GyYERERo1f1nd6/AAcA3wH+DHgZsC/wNWAP2/c1E15ERER9qu6ycC/wStu/lrQbxfJjb7T9/Ybja0zm6UVETG6jmae3ne1fA9heBTyyJSe8iIiYmqo+3pwu6XW07KPXfm77BzXHFhERUauqjzdXM8Ru6S1s+4W1RTUG8ngzYvOsO2neeIcQk9TMBfVOBBjq8WbVeXq71hpJRETEOBj1PL2IiIgtRS1JT9IVdbQTERHRpLp6ektqaiciIqIxtSQ925+qo52IiIgmVV2G7B1t5y9uOz+xzqAiIiKaULWnd0HbefvjzE/XEEtERESjqia99rkOnc4jIiImnKpJr30id6fzTUg6VNIySSsknTJE+QxJF5flN0javbw+S9J1kh6RdHZL/ZmSbmn5eUDS58uy90j6TUvZcRW/Z0RETGJVlyEbFUnTgHOAg4HVwBJJ/bZvbal2LLDW9p6S+oAzgSOB3wGnAS8tfwCwvQ7Yr+UzbgK+2dLexbbzrjEiIp5WecFpSRsGf4AdWs6fArbtcP/+wArbK20/CSwG5rbVmcvGd4eXAQdJku1HbV9PkfyGJKkXeB7ww4rfJyIipqCqPb3eUX7ObGBVy/lqiv35hqxje72kAWAW8ECF9udR9OxaH7P+haQDgduBk8rdIYa0fPnyCh8REQAvGO8AYtKq429xb+/I6arq2pv/M8o4hhro0v4esEqd4fQBR7WcXwkssv2EpPdT9CDfONzNnX5JEbHRuvEOICatsfhbXCnpSfpYpzq2549QvBrYreV8V+DeYeqsljQd6AEeqhDby4Hptm9qieXBlirnUrwfjIiIKW5zH2++E7i05bxTj2wJ0CtpDnAPRc/sXW11+oFjgJ8AhwPXusq+R8WjzWfsRyFpZ9trytO3AbdVaCciIia5qo83Wx8dIukt7dc63L++XLXlamAasND2UknzgRtt9wPnAxdJWkHRw+tr+bw7ge2BrSW9HTikZeTnEcBhbR/5IUlvA9aXbb2naqwRETF5VdpEdpObpIds79RAPGMmm8hGbJ5sIhtNGYtNZLOfXkRETBlJehERMWVUHb35FM8crKJykjoUUw1se1rdwUVERNRprCanR0REjLuqSe+fbLcvGxYREbFFqfpO7w2NRhERETEGMpAlIiKmjKqPN58taeFIFWy/t4Z4IiIiGlM16Zli+bCIiIgtVtWk94Tt0xqNJCIiomFV3+kNte1PRETEFqVq0lvcaBQRERFjoFLSs338SOWSsplyRERMeHVNWbi9pnYiIiIaU1fSe3lN7URERDSmlqRn+4462omIiGhSLUlP0jvraCciIqJJdT3ePL2mdiIiIhpT1+PNP6yjnYiIiCaN2YLTkg6VtEzSCkmnDFE+Q9LFZfkNknYvr8+SdJ2kRySd3XbP98s2byl/njdSWxERMbXV9U7vnzuUTwPOAd4M7APMk7RPW7VjgbW29wQWAGeW138HnAb8zTDNv9v2fuXP/R3aioiIKayunt42Hcr3B1bYXmn7SYoVXto3pZ0LXFAeXwYcJEm2H7V9PUXyq2rItrq4PyIiJqGqC06PqNOKLcBsYFXL+WrggOHq2F4vaQCYBTzQoe1/l7QB+AbwKdvutq3ly5d3+IiIGJTll6Ipdfwt7u3tHbF81ElP0izgb2yfOlK1Ia55M+q0e7fteyTNpEh6RwEXdttWp19SRGy0brwDiElrLP4WV368KekYSQskfVDSdEnbS/q/wJ3AKzvcvhrYreV8V+De4epImg70AA+N1Kjte8p/1wFfp3iMulltRUTE5Fcp6Uk6CzgDeCHwMWAhcBNFYnmt7T/t0MQSoFfSHElbA31Af1udfuCY8vhw4NryUeVwMU2X9NzyeCvgLcAvN6etiIiYGqo+3uwDDrS9XNJLgKXAPNsXV7m5fK92InA1MA1YaHuppPnAjbb7gfOBiyStoOiV9Q3eL+lOYHtga0lvBw4B7gKuLhPeNOAa4NzylmHbioiIqUtVOkCSHra9fcv5I7a3azSyhg0MDKTnF7EZ1p00b7xDiElq5oJFtbbX09OzyfiOqj09SdqNjQNE1redY/vu0YcYERHRnKpJb1uKASutWfOulmNTPGKMiIiYsKomva0ajSIiImIMVEp6tjeMVC5pR2BtLRFFREQ0pOqUhfvbzq9uq3IXERERE1zVyenta2v+cdt51rWMiIgJr2rS6zS8P8P/IyJiwhuz/fQiIiLGW9XRm8+WtLDlfNu28xk1xhQREdGIqkmvfRPWszqcR0RETDhVpyyc1nQgERERTas6ZWFPST+Q9JCkayS9qOnAIiIi6lZ1IMs5wD3Aeyh2H1/QVEARERFNqfpO71XAbrYfl3Qd8KsGY4qIiGhE1Z7e1rYfh6d3KW+frB4RETHhVe3pzZD0sZbzbdrOsT2/vrAiIiLqVzXpXQL0tpxf1nYeEREx4VWdsnDUSOWSsvZmRERMeKNahkzSSyR9Bsiu6RERMeF1nfQk7STpBEk/A34JHAj8bYX7DpW0TNIKSacMUT5D0sVl+Q2Sdi+vz5J0naRHJJ3dUv85kr4l6VeSlko6o6XsPZJ+I+mW8ue4br9nRERMPpUeb0qaDvwZxTy9wyj2z1sEvBh4h+37h78bJE2jmOt3MLAaWCKp3/atLdWOBdba3lNSH8XSZ0cCvwNOA15a/rT6rO3rJG0NfE/Sm21fVZZdbPvEKt8vIiKmhqo9vTXAQopk9zrbe9n+OPBkxfv3B1bYXmn7SWAxMLetzlzggvL4MuAgSbL9qO3rKZLf02w/Zvu68vhJ4GZg14rxRETEFFR19OYy4NXAy4FfSFpme6CLz5kNrGo5Xw0cMFwd2+slDQCzKFaAGZGkHYC3Al9oufwXkg4EbgdOsr1qyJuB5cuXV/kOEQG8YLwDiEmrjr/Fvb0jTyyoOnrztZL2AI4B/h44R9JVwLbAtApNDDW6s33j2Sp1Nm24ePS6CPhn2yvLy1cCi2w/Ien9FD3INw7XRqdfUkRstG68A4hJayz+FlceyFI+mvy47T2AQ4G1ZdHPJX26w+2rgd1azncF7h2uTpnIeoCHKoT2b8By259vifVB20+Up+dSLKMWERFT3GZNWbD9fdvvpXjScTLwxx1uWQL0SppTDjrpA/rb6vRT9CQBDgeutT1iT0/SpyiS40faru/ccvo24LYO8UVExBRQdfTmQ7Z3ar9u+zHgovJnWOU7uhOBqykehy60vVTSfOBG2/3A+cBFklZQ9PD6Wj7/TmB7YGtJbwcOAR6meNT6K+Dmcn782bbPAz4k6W3A+rKt91T5nhERMbmpQ2eqqCStsz1zDOIZMwMDA52/eERsYt1J88Y7hJikZi5YVGt7PT09m4wVqfp4MwkiIiK2eFWnLGwraeVIFcoBLhERERNW1aT3BHB8k4FEREQ0rWrSW2/7e41GEhER0bCq7/SydVBERGzxqia9ExqNIiIiYgxUSnq2LxypXNI76wknIiKiOaPaRLbF6TW1ExER0Zhakp7tP6yjnYiIiCbV1dOLiIiY8KquvfmdTnVsHzL6cCIiIppTdZ7emyg2kv06cH9z4URERDSnatL7Y+Bo4P3AzcCFwBW2n2wqsIiIiLpVnbJwk+0PAy+k2LT1COAuSf8q6flNBhgREVGXrgay2N5g+0rgo8AlwHHAnk0EFhERUbfKSU/S9pL+WtL1wHeAtcDetn/UWHQRERE1qjp6czHweuBK4BTb1zcaVURERAOqDmQ5ArgPOBh4k7Tp+tPZTy8iIia6qknv4NF+kKRDgS8A04DzbJ/RVj6DYlToq4AHgSNt3ylpFnAZxQjSr9g+seWeVwFfAbYBvg182LYl7QRcDOwO3AkcYXvtaL9DRERs2SolvdHupSdpGnAORfJcDSyR1G/71pZqxwJrbe8pqQ84EzgS+B1wGvDS8qfVl4C/Bn5KkfQOBa4CTgG+Z/sMSaeU5x8dzXeIiIgtX9V3ekd3qtNhJ4b9gRW2V5btLQbmAq1Jby7wifL4MuBsSbL9KHC9pGeMEpW0M7C97Z+U5xcCb6dIenOBPymrXgB8nyS9iIgpr+rjzeM7lJvi0eRwZgOrWs5XAwcMV8f2ekkDwCzggRHaXN3W5uzy+Pm215RtrZH0vJGCX758+UjFEdHiBeMdQExadfwt7u3tHbG86uPN140yjqF2Xvdm1BlN/WF1+iVFxEbrxjuAmLTG4m/xqHdZkDRD0oYO1VYDu7Wc7wrcO1wdSdOBHuChDm3uOkyb95WPPwcfg2a90IiIqG1roaF6Xa2WAL2S5kjaGugD+tvq9APHlMeHA9faHrbnVj6+XCfp1SrmUBwNXDFEW8e0XI+IiCms6ju9TkZ8rFi+ozsRuJpiysJC20slzQdutN0PnA9cJGkFRQ+vb/B+SXcC2wNbS3o7cEg58vMDbJyycFX5A3AGcImkY4G7gXfW9D0jImILphE6U9UaKObXPWZ7Wj0hjY2BgYHRffGIKWrdSfPGO4SYpGYuWFRrez09PZs8haw6ZeE6hu/NbVHJLiIipq6qjze/2qF8pOkKERERE0LVKQvnNx1IRERE0yqN3pS0n6R9Ws5nSbpA0k2Szpa0bXMhRkRE1KPqlIV/5plz4s6jWAdzcIHos2qOKyIionZV3+ntA/wAQFIPcBjwMtvLJF0OXA+c0EyIERER9aja05tu+3fl8auB+20vA7B9N7BjE8FFRETUqWrSu1XSn5fHRwLXDBZI2gV4uO7AIiIi6lb18eYpwBWS/pViXt5rW8qOBH5Ud2ARERF1qzpl4QeS5gB7A8ts/7al+L+AS5sILiIiok6V194sE90NQ1y/rdaIIiIiGlLLLguSsotBRERMeHVtLbSkpnYiIiIaU3VFlteMVG77U/WEExER0ZyqPb2rOleJiIiY2KomvU47o0dEREx4VUdvqpyyMGzys72ynpAiIiKaUTXpPQdYwfBJz2Qz2YiImOCqJr1Hbc9sNJKIiIiGVX2n59F+kKRDJS2TtELSKUOUz5B0cVl+g6TdW8pOLa8vk/Sn5bW9Jd3S8vOwpI+UZZ+QdE9L2WGjjT8iIrZ8ld/pjeZDJE0DzgEOBlYDSyT12761pdqxwFrbe0rqA84Ejiw3r+0D9gV2Aa6RtFe5y8N+Le3fA1ze0t4C258dTdwRETG5VO3p7dO5yoj2B1bYXmn7SWAxMLetzlzggvL4MuAgSSqvL7b9hO07KN4t7t9270HA/9i+a5RxRkTEJFZ1welVko4AXgMsBf7d9u8HyyV90fYHR2hiNrCq5Xw1cMBwdWyvlzQAzCqv/7Tt3tlt9/YBi9qunSjpaOBG4GTba4cLbvny5SOEHhGtXjDeAcSkVcff4t7e3hHLKyU9SX8DnAhcAbwf+ICkw2yvKav8JTBS0hvq8Wj7e8Lh6ox4r6StgbcBp7aUfwk4vax3OvA54L3DBdfplxQRG60b7wBi0hqLv8VVH29+ADjE9odtvxLoB66X9KKyvNM7v9XAbi3nuwL3DldH0nSgB3iowr1vBm62fd/gBdv32d5g+yngXDZ9HBoREVNQ1aT3BxTv0gCw/XFgAfBDSXvTeXTnEqBX0pyyZ9ZHkThb9QPHlMeHA9fadnm9rxzdOQfoBX7Wct882h5tStq55fQdwC87f8WIiJjsqo7evAt4GXDL4AXbZ0t6DPg+MGOkm8t3dCcCV1NMYl9oe6mk+cCNtvuB84GLJK2g6OH1lfculXQJcCuwHjjB9gYASc+hGBH6vraPPEvSfhTJ+M4hyiMiYgpS0ZnqUKl4p8dQUwAkvRs43fYe9YfXnIGBgVHPPYyYitadNG+8Q4hJauaC9vGIo9PT07PJq7eqozeHne9m+2vA10YRV0RExJioa+f0F9bRTkRERJNGnfQkzQDuqCGWiIiIRlWdp3fgCMUjDmKJiIiYKKqO3vw+sAZ4qrlQIiIimtXNlIV32/5xe4GkZwOP1hpVREREA6q+07sR+KNhyp4C7q4nnIiIiOZU7em9a7iCcteEOfWEExER0Zyq8/R+37lWRETExFZ19KbcsnSLpP8F/DnFQtNX2P5hQ/FFRETUpuo7vYHBA0l/TrGG5nbAc4D/lPTOBmKLiIioVdV3eq3rl50KHGn7KgBJ/wGcCVxac2wRERG1qtrTa12ceQ5FT2/Qd8lAloiI2AJU7enNKLcBGtQDrC2Pn0Pn/fQiIiLGXdWk93U27l5+JfAiNia9Q4Ff1BxXRERE7apOWfirEcq+AXxj8FzSa2z/qIbYIiIialXL1kJtrmqgzYiIiFFrIultslNtRETERNBE0sugloiImJCaSHpDknSopGWSVkg6ZYjyGZIuLstvkLR7S9mp5fVlkv605fqdkn4h6RZJN7Zc30nSdyUtL//dsenvFxERE9+YJD1J04BzgDcD+wDzJO3TVu1YYK3tPYEFFBPeKev1AftSjBT9YtneoDfY3s926y4QpwDfs90LfK88j4iIKa6JpLfNENf2B1bYXlnuyrAYmNtWZy5wQXl8GXCQJJXXF9t+wvYdwIqyvZG0tnUB8Pbuv0ZEREw2VefpdePxIa7NBla1nK8GDhiuju31kgaAWeX1n7bdO7s8NvAdSQa+bPvfyuvPt72mbGuNpOeNFPDy5cs7fqmIKLxgvAOISauOv8W9vb0jljeR9IYy1IjO9gEvw9UZ6d7X2L63TGrflfQr2z/oNrhOv6SI2GjdeAcQk9ZY/C0eq4Esq9m4ogvArsC9w9WRNJ1iqbOHRrrX9uC/9wOXs/Gx532Sdi7b2hm4v8bvEhERW6ixSnpLgF5JcyRtTTEwpb+tTj9wTHl8OHBtuYdfP9BXju6cA/QCP5O0raSZAJK2BQ4BfjlEW8cAVzT0vSIiYgsyJo83y3d0J1LszjANWGh7abmI9Y22+4HzgYskraDo4fWV9y6VdAlwK7AeOMH2BknPBy4vxrowHfi67f8qP/IM4BJJxwJ3A9nvLyIiUMuG6PU0KK2zPbPWRhswMDCQSfQRm2HdSfPGO4SYpGYuWFRrez09PZuMCen68aakWZKOkvS35fkuknYdLN8SEl5ERExNXSU9Sa8HlgHvBk4rL/cCX6o5roiIiNp129P7PHCk7UMp3q8B3EDnyeIRERHjrtukt7vt75XHg+/EnmTs5vtFRERstm6T3q2tCz6X3kR2To+IiC1Atz20k4H/lPQtYBtJXwbeyqbraEZEREw4XfX0bP8UeDmwFFgI3AHsb3tJA7FFRETUqut3cbbvAc5qIJaIiIhGdZX0JPUAHwJeAWzXWmb7kBrjioiIqF23Pb1LKZYRu5yhtxCKiIiYsLpNeq8GZtn+fRPBRERENKnbKQvXAy9pIpCIiIimddvTew/wbUk3APe1FtieX1dQERERTeg26f0jxYaudwLbt1zPjgURETHhdZv0+oC9bK9pIpiIiIgmdftObyWQQSwREbFF6randxHQL+lf2PSd3rW1RRUREdGAbpPeCeW/n267bmCP0YcTERHRnK6Snu05TQUSERHRtG7f6W02SYdKWiZphaRThiifIenisvwGSbu3lJ1aXl82uLWRpN0kXSfpNklLJX24pf4nJN0j6Zby57Cx+I4RETGxdbv25vbAJ4DXA88FNFhm+4Uj3DcNOAc4GFgNLJHUb/vWlmrHAmtt7ympDzgTOFLSPhSjRvcFdgGukbQXxc7tJ9u+WdJM4CZJ321pc4Htz3bz/SIiYnLrtqf3ReCVwHxgJ+B/A3cDCzrctz+wwvZK208Ci9l0D765wAXl8WXAQZJUXl9s+wnbdwArKLYzWmP7ZgDb64DbgNldfp+IiJhCuh3IcgjwEtsPStpg+wpJNwJXMnLimw2sajlfDRwwXB3b6yUNALPK6z9tu/cZya18FPoK4IaWyydKOhq4kaJHuHa44JYvXz5C6BHR6gXjHUBMWnX8Le7t7R2xvNuk9yxgoDx+RNIOwBpgzw73aYhr7au4DFdnxHslbQd8A/iI7YfLy18CTi/rnQ58DnjvcMF1+iVFxEbrxjuAmLTG4m9xt483f07xPg/ghxTv6b4E3N7hvtUUy5cN2hW4d7g6kqYDPcBDI90raSuKhPc1298crGD7PtsbbD8FnEvxeDUiIqa4bpPe8RTrbkKxmezjwA7A0R3uWwL0SpojaWuKgSn9bXX6gWPK48OBa227vN5Xju6cA/QCPyvf950P3Gb7n1obkrRzy+k7gF9W/4oRETFZdTtPb2XL8W+A4yret17SicDVFJvQLrS9VNJ84Ebb/RQJ7CJJKyh6eH3lvUslXQLcSjFi8wTbGyS9FjgK+IWkW8qP+jvb3wbOkrQfxePNO4H3dfM9IyJiclLRmeriBukQYD9gu9brtj9WY1yNGxgYyM4QEZth3UnzxjuEmKRmLlhUa3s9PT2bjAnpdp7e2cARwHXAYzXFFRERMSa6Hb05D9jP9qqONSMiIiaYbgeyPAj8tolAIiIimtZtT+9zwNckfYZNtxZaOfQtERERE0O3Se9L5b9vabtuilGZERERE1a3UxbGbFeGiIiIuiWJRUTElFFL0pP0xTraiYiIaFJdPb2hFoWOiIiYUGpJerY/UEc7ERERTeoq6Un672Gu31hPOBEREc3ptqe3yb555W4He9QTTkRERHMqTVmQdGF5uHXL8aDdgaV1BhUREdGEqvP0/meYYwM/Ai6tLaKIiIiGVEp6tj8paRrwAHCe7SeaDSsiIqJ+ld/p2d4A/GMSXkREbKm6HchypaS3NhJJREREw7pdcPrZwGWSfgKsoninB4Dto+sMLCIiom7dJr1flj8RERFbnG53Wfjk5n6QpEOBL1BsQXSe7TPaymcAFwKvotis9kjbd5ZlpwLHAhuAD9m+eqQ2Jc0BFgM7ATcDR9l+cnNjj4iIyaHrZcgkvUHSQklXl/++scI904BzgDcD+wDzJO3TVu1YYK3tPYEFwJnlvfsAfcC+wKHAFyVN69DmmcAC273A2rLtiIiY4rrq6Uk6Dvg0cB5wA/BC4OuSTrN97gi37g+sGNxdXdJiYC5wa0uducAnyuPLgLPL1V7mAovLUaN3SFpRtsdQbUq6DXgj8K6yzgVlu4Mb4EbEKMxcsGi8Q4jYbN2+0/tb4GDbPx+8IOli4BvASElvNsXAl0GrgQOGq2N7vaQBYFZ5/adt984uj4dqcxbwW9vrh6gfERFTWLePN2fxzN4ZwDKKd2cjGWrrIVesU9f1iIiY4rrt6V0P/JOkj9p+TNK2wGeAH3e4bzWwW8v5rsC9w9RZLWk60AM81OHeoa4/AOwgaXrZ2xvqs+jp6ckegBERU0y3Pb33Ay8DBiTdB/wWeDnwvg73LQF6Jc2RtDXFwJT+tjr9wDHl8eHAtbZdXu+TNKMcldkL/Gy4Nst7rivboGzzii6/Z0RETEIqckSXN0m7ArsA99peXfGew4DPU0wvWGj7HyXNB2603S/p2cBFwCsoenh9LYNU/h54L7Ae+Ijtq4Zrs7y+BxunLPw38JdZPi0iIjY36T0P2K712mCCihhOp7maEZOFpIXAW4D7bb90vOOJjbpKeuUfrfOBnduKbHtanYHF5FLOq7wdOJjiPe0SYJ7t9oFREVs8SQcCjwAXJulNLN2+0zsHOB3Y1vazWn6S8KKTp+dqlqvjDM7VjJh0bP+A4jVNTDDdJr0dgS/bfryJYGJSG2quZuZPRsSY6jbpnQ/8VROBxKSX+ZMRMe46ztOT9EM2/nES8GFJpwC/bq1n+8D6w4tJpMpczYiIRlWZnH5eh/OIKp6eVwncQzGv8l0j3xIRUa9KozclvQp4wvYvy/PnUcyP25diXcyTbT/SZKCx5RtuXmXEZCNpEfAnwHOB+4CP2z5/XIMKoHrS+yHwSdvXlOf/QTEI4SvAPOD/2f5gg3FGRESMWtWk9wAw2/YTknYAfgPsa/t2SbsBP7a928itREREjK+qozenA4M7j78aWGP7dgDbq4AdGogtIiKiVlWT3lLgneVxH3DNYIGk2cBAzXFFRETUrurjzdcCV1JMXdgAvNb2srLs/wAH2D6yyUAjIiJGq/Lam5JmAnsBt9te13J9b2Cd7cy5ioiICW2zdlmIiKlL0u7AHcBW5UbNEVuMbpchi4iKJFnSnm3XPiHpq+MV03iQtJOkyyU9KukuSVmUIMZNlRVZIiJG4xyK0d/PB/YDviXp57aXjm9YMRWlpxcxTiT9iaTVkk6WdL+kNZL+qneZnC0AAALKSURBVKX8K5LOkfQtSesk3SDpxS3lX5C0StLDkm6S9LqWsk9IulTSV8t7fyFpL0mnlp+1StIhLfV7JJ1fxnCPpE+VeyAiaZqkz0p6QNJK4M+6+I7bAn8BnGb7EdvXA/3AUaP65UVspiS9iPH1AqCHYoWjY4FzJO3YUj4P+CTFtl4rgNal25ZQ9Jx2Ar4OXCrp2S3lbwUuKu/9b+Bqiv/zs4H5wJdb6l4ArAf2BF4BHAIcV5YdT7EL+CuAPwIOb/0Ckk6R9J/DfL+9gA2D83pLP6dYwjBizCXpRYyv3wPzbf/e9rcpdtveu6X8m7Z/Vg4Y+RpFkgPA9ldtP2h7ve3PATPa7v2h7avLey8F/gA4w/bvKTbx3V3SDpKeD7wZ+IjtR23fDyygmJMLcATwedurbD8EfKb1C9g+w/Zbhvl+27HpPN4BYGal305EzfJOL6I5G4Ct2q5tRZHoBj3YNgLyMYpEMejXw5VJOpmiN7YLxRza7SkWOB50X8vx48ADtje0nFO2t0sZ1xrp6W0Pn8XGTX934ZkbAN9FdY+UcbXaHlg3RN2IxiXpRTTnbmB34LaWa3OA24es3YXy/d1HgYOApbafkrSWoTfr7WQV8ATw3GGmIKzhmXshvrCLtm8Hpkvqtb28vPZyilWeIsZcHm9GNOdi4B8k7SrpWZLeRPGe7bIa2p5J8Q7uNxRJ5WNs2qOqxPYa4DvA5yRtX8b6YkmvL6tcAnyo/B47Aqd00fajwDeB+ZK2lfQaYC7Fu8aIMZekF9Gc+cCPgeuBtcBZwLsH96UcpauBqyh6UncBv+OZjyC7dTSwNXArRayXATuXZeeWn/dz4GaKJPY0SX8n6aoR2v4gsA1wP7AI+ECmK8R4yYosERExZaSnFxERU0aSXkRETBlJehERMWUk6UVExJSRpBcREVNGkl5EREwZSXoRETFlJOlFRMSU8f8BLJqkZFWrQuEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAbAAAAEJCAYAAAD1i3KXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAXaElEQVR4nO3dfbRddX3n8feHINhBDCgUJIBEuThiO4JDcZaO6FTAOCqxLbagKHZwunzAZ1eF6qCNVakdpc6SmcGpLK12CA8+TJaCqc/iEyYqaEMnJEQhV1BGgpGnAgnf+ePswOHmPuwTzj03++b9Wuuu7P3bv98+38Mf58Pe+7f3TlUhSVLX7DbXBUiStCMMMElSJxlgkqROMsAkSZ1kgEmSOskAkyR10sgCLMmSJGuTrE9y1iTbX53kJ0muTvKtJEf2bTu7Gbc2yfNGVbMkaeeVUdwHlmQBcB1wAjAOrAJOrapr+/o8uqp+0yyfBLy2qpY0QXYRcCxwEPBl4Iiq2jrrhUuSdlq7j+hzjgXWV9UGgCTLgaXAAwG2LbwaewHbknUpsLyq7gF+mmR9s7/vbuu8efNm78aWpHlu4cKF6V8fVYAtAjb2rY8DT5/YKcnrgLcAewC/3zf2exPGLpqdMiVJXTGqa2CZpG27o6aqOr+qngi8HXjnIGMlSbuWUQXYOHBI3/rBwE3T9F8OvHgHx0qSdgGjCrBVwFiSxUn2AE4BVvR3SDLWt/oCYF2zvAI4JcmeSRYDY8D3R1CzJGknNpJrYFW1JcmZwEpgAXBhVa1JsgxYXVUrgDOTHA/cB9wGnN6MXZPkEnoTPrYAr3MGoiRpJNPoZ5uzECVp/ps4C9EncUiSOskAkyR1kgEmSeokA0yS1EmjehKHpJ3U7W8+da5L0Dy093kXzfpneAQmSeokA0yS1EkGmCSpkwwwSVInGWCSpE4ywCRJnWSASZI6yQCTJHWSASZJ6iQDTJLUSQaYJKmTDDBJUicZYJKkTjLAJEmdZIBJkjrJAJMkdZIBJknqJANMktRJBpgkqZMMMElSJxlgkqROMsAkSZ00sgBLsiTJ2iTrk5w1yfa3JLk2yY+TfCXJ4/u2bU1ydfO3YlQ1S5J2XruP4kOSLADOB04AxoFVSVZU1bV93X4EHFNVdyV5DfAB4E+abXdX1VGjqFWS1A2jOgI7FlhfVRuq6l5gObC0v0NVfa2q7mpWvwccPKLaJEkdNKoAWwRs7Fsfb9qmcgZwRd/6I5OsTvK9JC+ejQIlSd0yklOIQCZpq0k7JqcBxwDP7ms+tKpuSvIE4KtJflJV1082ft26dQ+7WGlXcuBcF6B5aVi/xWNjY1NuG1WAjQOH9K0fDNw0sVOS44F3AM+uqnu2tVfVTc2/G5J8HTgamDTApvuykrZ3+1wXoHlpFL/FozqFuAoYS7I4yR7AKcBDZhMmORq4ADipqm7pa983yZ7N8n7AM4H+yR+SpF3QSI7AqmpLkjOBlcAC4MKqWpNkGbC6qlYAfwM8Crg0CcCNVXUS8GTggiT30wvccyfMXpQk7YJGdQqRqrocuHxC2zl9y8dPMe47wO/ObnWSpK7xSRySpE4ywCRJnWSASZI6yQCTJHWSASZJ6iQDTJLUSQaYJKmTDDBJUicZYJKkTjLAJEmdZIBJkjrJAJMkdZIBJknqJANMktRJBpgkqZMMMElSJxlgkqROMsAkSZ1kgEmSOql1gCX5TJIXJ3nEbBYkSVIbgxyBfRs4B/hFkv+R5BmzVJMkSTNqHWBV9cGqehpwHPBr4KIk65Ock+SJs1ahJEmTGPgaWFWtqaqzgdOAO4F3AT9M8uUkTx12gZIkTWagAEvypCTvSXI98FHgYuAw4ADgcuBzQ69QkqRJ7N62Y5LV9MLqYuClVXXVhC4fSvL6IdYmSdKUWgcYcC6woqrunapDVS1++CVJkjSz1gFWVZdtW04SIH3b7h9yXZIkTWuQ+8AOSvLZJLcCW4D7+v7ajF+SZG0zc/GsSba/Jcm1SX6c5CtJHt+37fQk65q/09vWLEmavwaZxHEBcC/wXOAO4GnACuDVMw1MsgA4H3g+cCRwapIjJ3T7EXBMVf0b4DLgA83Yx9Cb6fh04FjgXUn2HaBuSdI8NEiAPQP4T1V1NVBVdQ1wBvDWFmOPBdZX1YbmGtpyYGl/h6r6WlXd1ax+Dzi4WX4e8KWq2lRVtwFfApYMULckaR4aJMC20jt1CPDrJPvTuw9sUYuxi4CNfevjM4w7A7hiB8dKknYBg8xCvAr4j8BngZX0ptPfDaxuMTaTtNWkHZPTgGOAZw86FmDdunUtypG0zYFzXYDmpWH9Fo+NjU25bZAAezkPHrG9CXgb8Cjgb1uMHQcO6Vs/GLhpYqckxwPvAJ5dVff0jX3OhLFfn+qDpvuykrZ3+1wXoHlpFL/Fg0yj/3Xf8t3Aewb4nFXAWJLFwM+BU4CX9ndIcjS9iSJLquqWvk0rgff1Tdw4ETh7gM+WJM1D0wZYkmVtdlJV58ywfUuSM+mF0QLgwqpa0+x/dVWtAP6G3hHdpb3bzLixqk6qqk1J3kMvBAGWVdWmNnVJkuavmY7A+k/7PRL4I3pBcgNwKL3ZhZ9u80FVdTm95yX2t53Tt3z8NGMvBC5s8zmSpF3DtAFWVX+6bTnJcuDUqvp0X9sfAi+ZvfIkSZrcINPon8/2T5v/P/RmJkqSNFKDBNh64HUT2l4LXD+8ciRJameQafSvAj6b5M/pzSRcRO/G5j+cjcIkSZrOIAF2DTAG/DvgIOBm4LtV1ephvpIkDVOrAGsexnsHsE9VXTm7JUmSNLNW18CqaitwHfDY2S1HkqR2BjmF+A/A55N8mN7jnR54HmFVfXXYhUmSNJ1BAuw1zb/vntBewBOGUo0kSS0N8izExbNZiCRJgxjkPjBJknYarY/AkmxkivdwVdWhQ6tIkqQWBrkGdtqE9ccBbwSWD68cSZLaGeQa2DcmtiX5OvBF4MNDrEmSpBk93Gtg9wBO7pAkjdwg18AmvtzyX9F7Ev0VQ61IkqQWBrkGdsiE9TuBDwGfHF45kiS1M0iAnV1Vv5jYmORAYLt2SZJm0yDXwK6bov3aYRQiSdIgBgmwbNeQPBq4f3jlSJLUzoynEPtuYP6tJDdO2PxY4KLZKEySpOm0uQZ2Gr2jr8uBl/e1F/DLqlo7G4VJkjSdGQNs2w3MSfarqrtmvyRJkmY2yJM47kpyFPAsYD/6rolV1TmzUJskSVNqPYkjyZ8B3wZ+H3g78LvAW4HDZ6c0SZKmNsgsxD8HllTVHwB3N/+eDNw3K5VJkjSNQQLst6vqymb5/iS7VdUVwItmoS5JkqY1SICNJzmsWb4OWJrkWcC9bQYnWZJkbZL1Sc6aZPtxSX6YZEuSkyds25rk6uZvxQA1S5LmqUEeJfUB4MnAz4BlwGXAHsAbZhqYZAFwPnACMA6sSrKiqvqf4nEj8ErgbZPs4u6qOmqAWiVJ89wgsxA/3rd8RZJ9gT2q6o4Ww48F1lfVBoAky4Gl9D2Gqqp+1mzzyR6SpBnt0PvAkpwAvI7eTMQ2FgEb+9bHm7a2HplkdZLvJXnxAOMkSfNUm0dJXQR8par+rll/O71TiD8G/irJq6tqpleqbPccRXpP8mjr0Kq6KckTgK8m+UlVXT9Zx3Xr1g2wW0kHznUBmpeG9Vs8NjY25bY2pxCfCbwRIMlu9K5RvbSqPp3k+cC5zPxOsHEe+j6xg4GbWnw2AFV1U/PvhiRfB44GJg2w6b6spO3dPtcFaF4axW9xm1OI+1TVLc3y0cAjgc81618EHt9iH6uAsSSLk+wBnAK0mk2YZN8kezbL+9ELVF/hIkm7uDYB9qu+6fP/AfhuVW1t1vcCtk42qF9VbQHOBFYC/wxcUlVrkixLchJAkt9LMg68BLggyZpm+JOB1UmuAb4GnDth9qIkaRfU5hTi3wFfSLISeAXw+r5tx9ELpBlV1eX0nmjf33ZO3/IqeqcWJ477Du0ni0iSdhFtnkb/viQ/B44B3lhV/e//2h/44GwVJ0nSVFrdB1ZVnwA+MUX7A5J8oapeMKTaJEma0g7dBzaNZw15f5IkTWrYASZJ0kgYYJKkTjLAJEmdZIBJkjpp2AG215D3J0nSpIYdYHcNeX+SJE1q2AE2yBPmJUnaYV4DkyR1kgEmSeqkYQfYZC+ulCRp6FoHWJKDpmg/um/1fQ+7IkmSWhjkCOwfkzymvyHJsfS9IqWq3j+swiRJms4gAfZReiH2KIAkz6D3VuUzZqMwSZKm0+p1KgBV9d+SLAQuT/J+4OPAy6rqy7NVnCRJU2kdYABV9Z4k+wAXAy+sqm/OTlmSJE1v2gBLspHtb07erfn7VNKbdFhVh85KdZIkTWGmI7DTRlKFJEkDmjbAquoboypEkqRBDHIf2J5J3ptkQ5LNTduJSc6cvfIkSZrcINPozwN+B3gZD14XWwO8ZthFSZI0k0FmIf4BcHhV3ZnkfoCq+nmSRbNTmiRJUxvkCOxeJgRekv2BW4dakSRJLQwSYJcCn0iyGCDJ44CPAMtnozBJkqYzSID9BfAz4CfAPsA64CZg2fDLkiRpeq0DrKrurao3VdWjgAOAvavqzVV1T5vxSZYkWZtkfZKzJtl+XJIfJtmS5OQJ205Psq75O71tzZKk+WugR0kleTJwMnBAVZ2Z5EnAnlX14xnGLQDOB04AxoFVSVZU1bV93W4EXgm8bcLYxwDvAo6hN/vxB83Y2wapXZI0vwxyH9hLgG8Ci4BXNM17Ax9qMfxYYH1Vbaiqe+ldN1va36GqftYE4f0Txj4P+FJVbWpC60vAkrZ1S5Lmp0GugS0DTqiqVwNbm7ZrgKe2GLsI2Ni3Pt60tfFwxkqS5qlBTiH+Nr3AggdvZC62f9jvZDJJW5txA49dt25dy91KAjhwrgvQvDSs3+KxsbEptw0SYD8AXg78fV/bKcD3W4wdBw7pWz+Y3gzGNsaB50wY+/WpOk/3ZSVt7/a5LkDz0ih+iwcJsDfQeyPzGcBeSVYCRwAnthi7Chhr7iH7Ob3ge2nLz10JvC/Jvs36icDZA9QtSZqHZgywJH8MfLOq/m+Sfw28EPg8vetSn6+qO2baR1VtaR76uxJYAFxYVWuSLANWV9WKJL8HfBbYF3hRkr+sqqdU1aYk76EXggDLqmrTjnxZSdL8karpL0UluQ54InA9vVmI36AXaDfMfnntbN68ue31NEkT3P7mU+e6BM1De5930dD3uXDhwofMiZhxFmJVHQEcBLwDuBt4K3B9khuSfDLJq4ZepSRJM2g1jb6qfllVl1bV66vqKGA/Hrwx+YLZLFCSpMm0msSRJMBRwHHN3zPozSK8BLhy1qqTJGkKbSZxfB54GrAW+BbwUeCVVeXsW0nSnGlzCvFJwD3AT+lN5FhveEmS5tqMR2BVNZbkAB48ffimJPsB36Z3+vBbVXX17JYpSdJDtboGVlW/pPdCy0sBkuwD/BnwTmB/evd2SZI0Mjs6iePf03up5WrgwlmrTpKkKbSZxPEFerMO9wCuoncj80eA71bVv8xueZIkTa7NEdiVwHuBVVV13yzXI0lSK20mcZw7ikIkSRrEIC+0lCRpp2GASZI6yQCTJHWSASZJ6iQDTJLUSQaYJKmTDDBJUicZYJKkTjLAJEmdZIBJkjrJAJMkdZIBJknqJANMktRJBpgkqZMMMElSJxlgkqROMsAkSZ00sgBLsiTJ2iTrk5w1yfY9k1zcbL8qyWFN+2FJ7k5ydfP3P0dVsyRp57X7KD4kyQLgfOAEYBxYlWRFVV3b1+0M4LaqOjzJKcBfA3/SbLu+qo4aRa2SpG4Y1RHYscD6qtpQVfcCy4GlE/osBT7RLF8GPDdJRlSfJKljRnIEBiwCNvatjwNPn6pPVW1Jshl4bLNtcZIfAb8B3llVV071QevWrRta0dKu4MC5LkDz0rB+i8fGxqbcNqoAm+xIqlr2uRk4tKpuTfJvgc8leUpV/WayD5ruy0ra3u1zXYDmpVH8Fo/qFOI4cEjf+sHATVP1SbI7sBDYVFX3VNWtAFX1A+B64IhZr1iStFMbVYCtAsaSLE6yB3AKsGJCnxXA6c3yycBXq6qS7N9MAiHJE4AxYMOI6pYk7aRGcgqxuaZ1JrASWABcWFVrkiwDVlfVCuBjwCeTrAc20Qs5gOOAZUm2AFuBV1fVplHULUnaeaVq4qWo7tm8eXP3v4Q0R25/86lzXYLmob3Pu2jo+1y4cOFD5kr4JA5JUicZYJKkTjLAJEmdZIBJkjrJAJMkdZIBJknqJANMktRJBpgkqZMMMElSJxlgkqROMsAkSZ1kgEmSOskAkyR1kgEmSeokA0yS1EkGmCSpkwwwSVInGWCSpE4ywCRJnWSASZI6yQCTJHWSASZJ6iQDTJLUSQaYJKmTDDBJUicZYJKkTjLAJEmdNLIAS7Ikydok65OcNcn2PZNc3Gy/KslhfdvObtrXJnneqGqWJO28RhJgSRYA5wPPB44ETk1y5IRuZwC3VdXhwHnAXzdjjwROAZ4CLAH+e7M/SdIubPcRfc6xwPqq2gCQZDmwFLi2r89S4N3N8mXAR5KkaV9eVfcAP02yvtnfd0dUuzSv7X3eRXNdgrRDRnUKcRGwsW99vGmbtE9VbQE2A49tOVaStIsZVYBlkrZq2afNWEnSLmZUpxDHgUP61g8Gbpqiz3iS3YGFwKY2YxcuXDhZyEmS5rFRHYGtAsaSLE6yB71JGSsm9FkBnN4snwx8taqqaT+lmaW4GBgDvj+iuiVJO6mRBFhzTetMYCXwz8AlVbUmybIkJzXdPgY8tpmk8RbgrGbsGuASehM+vgi8rqq2jqJuTW2m2yKk+STJhUluSfJPc12LHpTeQY7UXnMbw3XACfRO8a4CTq2qa6cdKHVUkuOAO4C/r6rfmet61OOTOLQjHrgtoqruBbbdFiHNS1X1TXrX5LUTMcC0I7y1QdKcM8C0I7y1QdKcM8C0I9rcFiFJs8oA045oc1uEJM0qA0wDm+q2iLmtSpo9SS6i9/zVJyUZT3LGXNckp9FLkjrKIzBJUicZYJKkTjLAJEmdZIBJkjrJAJMkdZIBJu3CkhyWpJp38EmdYoBJLTQ/8odPaHt3kk/NVU1zIcljknw2yZ1Jbkjy0rmuSbsu/69L0iDOB+4FDgCOAr6Q5BpvZNdc8AhMGoIkz2me0PDW5sWHNyf5077tH09yfpIvJLk9yVVJnti3/cNJNib5TZIfJHlW37Z3J7k0yaeasT9JckSSs5vP2pjkxL7+C5N8rKnh50n+qnmHG0kWJPmvSX6VZAPwggG+417AHwH/paruqKpv0XuE2Msf1n88aQcZYNLwHAgspPdqmTOA85Ps27f9VOAvgX2B9cB7+7atondE8xjgfwOXJnlk3/YXAZ9sxv6I3mO8dms+axlwQV/fTwBbgMOBo4ETgVc12/4z8MKm/Rjg5P4vkOSsJJ+f4vsdAWytquv62q4BnjJFf2lWGWDS8NwHLKuq+6rqcnpv8H1S3/bPVNX3m2dJ/gO9wAKgqj5VVbdW1Zaq+iCw54SxV1bVymbspcD+wLlVdR+9F4oelmSfJAcAzwfeVFV3VtUtwHn0HrgM8MfA31bVxqraBLy//wtU1blV9cIpvt+jgM0T2jYDe7f6ryMNmdfApHa2Ao+Y0PYIeqG1za1NwGxzF70f/W1+MdW2JG+ld5R0EL13qz0a2K+v/y/7lu8GflVVW/vWafZ3UFPXzckDr23bjQdfQHoQD30Z6Q20d0dTV79HA7cPsA9paAwwqZ0bgcPoPX1/m8XAdZP2HkBzvevtwHOBNVV1f5LbmPzFoTPZCNwD7DchTLe5mYe+y+3QAfZ9HbB7krGqWte0PRVwAofmhKcQpXYuBt6Z5OAkuyU5nt51qcuGsO+96V2z+n/0AuIctj/SaaWqbgb+Efhgkkc3tT4xybObLpcAb2i+x77AWQPs+07gM8CyJHsleSawlN61OWnkDDCpnWXAd4BvAbcBHwBeVlX/NIR9rwSuoHeEcwPwLzz0NN+gXgHsAVxLr9bLgMc12/5X83nXAD+kF0gPSPIXSa6YZt+vBX4LuAW4CHiNU+g1V3wfmCSpkzwCkyR1kgEmSeokA0yS1EkGmCSpkwwwSVInGWCSpE4ywCRJnWSASZI6yQCTJHXS/wdAR1UtqDA2wAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "out_impacted = output[impacted]\n",
    "\n",
    "for i in range(len(out_impacted.columns)):\n",
    "    plt.figure(i)\n",
    "    sns.barplot(x=\"Unnamed: 0\",y=out_impacted.columns[i],data=out_impacted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}