medium size bikes & cycling accessories Cohort Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Medium Size Bikes & Cycling Accessories Organisation's Transactions Data Based Cohort Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cohort Analysis Basics\n",
    "\n",
    "\n",
    "> **Understanding the retention rate for the medium size bikes & cycling accessories organisation.** \n",
    "\n",
    "\n",
    "A descriptive analytics technique is cohort analysis. Customers are divided into mutually exclusive cohorts, which are then tracked over time. Vanity indicators don't offer the same level of perspective as cohort research. It aids in the deeper interpretation of high-level patterns by supplying metrics around the product and consumer lifecycle.\n",
    "\n",
    "\n",
    "**Generally there are three majot types of Cohort:**\n",
    "- Time cohorts : customers who signed up for a product or service during a particular time frame.\n",
    "- Behavior cohorts : customers who purchased a product or subscribed to a service in the past. \n",
    "- Size cohorts : refer to the various sizes of customers who purchase company’s products or services.\n",
    "\n",
    "\n",
    "However, we will be performing **Cohort Analysis based on Time**. Customers will be divided into acquisition cohorts depending on the month of their first purchase. The cohort index would then be assigned to each of the customer's purchases, which will represent the number of months since the first transaction.\n",
    "\n",
    "\n",
    "\n",
    "Here, we will be dealing with mainly on monthly basis for \n",
    "- transaction_date  \n",
    "- customer_id\n",
    "- standard_cost \n",
    "- list_price\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Cohort:</b> A cohort is a collection of users who have something in common. A traditional cohort, for example, divides people by the week or month of which they were first acquired. When referring to non-time-dependent groupings, the term segment is often used instead of cohort.\n",
    "</div>\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "#### Dataset: [Customer_transaction_dataset](https://www.kaggle.com/archit9406/customer-transaction-dataset)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#### Objective:\n",
    "-  Finding the percentage of active customers compared to the total number of customers after each month: Customer Segmentations\n",
    "-  List price monthly cohort view\n",
    "-  Standard price monthly cohort view"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cohort Analysis  Basics\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Step involved in  Cohort Retention Rate Analysis\n",
    "###### Click each heading to jump to the section\n",
    "\n",
    "\n",
    "\n",
    "### 1.  [Data loading and cleaning](#Data-loading-and-cleaning)\n",
    "\n",
    "\n",
    "### 2. [Assigned the cohorts and calculated the monthly offset](#Assigned-the-cohorts-and-calculated-the-monthly-offset)\n",
    "\n",
    "**Step 2.1** \n",
    "\n",
    "* Truncate date object in into needed one(here we need month so transaction_date)\n",
    "* Create groupby object with target column ( here, customer_id)\n",
    "* Transform with a min() function to assign the smallest transaction date in month value to each customer. \n",
    "\n",
    "***The result of this process is the acquisition month cohort for each customer i.e. we have assigned the acquisition month cohort to each customer.***\n",
    "\n",
    "\n",
    "**Step 2.2** \n",
    "\n",
    "\n",
    "* Calculate Time offset by extracting integer values of the year, month and day from a datetime() object.\n",
    "* Calculate the number of months between any transaction and the first transaction for each customer. We will use the TransactionMonth and CohortMonth values to do this.\n",
    "\n",
    "***The result of this will be cohortIndex i.e, difference between “TransactionMonth ” and “CohortMonth” in terms of the number of months and call the column “cohortIndex”.***\n",
    "\n",
    "**Step 2.3** \n",
    "\n",
    "* Create a groupby object with CohortMonth and CohortIndex.\n",
    "* Count number of customers in each group by applying pandas nunique() function.\n",
    "* Reset the index and create a pandas pivot with CohortMonth in the rows, CohortIndex in the columns, and customer_id counts as values. \n",
    " \n",
    " \n",
    "***Result of this will be the table that will serve as the basis for  calculating retention rate  and other matrices as well.***\n",
    "\n",
    "\n",
    "\n",
    "###  3. [Calculate business metrics: Retention rate](#Calculate-business-metrics:-Retention-rate)\n",
    "\n",
    "> Retention measures how many customers from each of the cohort have returned in the subsequent months.\n",
    "\n",
    "* Using the dataframe called cohort_counts we will select the First columns(equals to total number of customer in cohorts)\n",
    "* Calculate the ratio of how many of these customers came back in the subsequent months.\n",
    "\n",
    "***The result gives a retention rate.***   \n",
    "\n",
    "### 4. [Visualizing the retention rate](#Visualizing-the-retention-rate)\n",
    "\n",
    "* Use seaborn heatmap to visualize thus obtained cohort results.\n",
    "\n",
    "\n",
    "### 5. [Interpreting the retention rate](#Intrrpreting-the-retention-rate)"
   ]
  },
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Screen%20Shot%202021-05-18%20at%201.56.07%20PM.png](attachment:Screen%20Shot%202021-05-18%20at%201.56.07%20PM.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The column highlighted in figure with value as 46% represents, **46% of cohorts which signed in April 2017 were active 4 months later.**\n",
    "\n",
    "Also, 100% value in all cells in column 1 says that this was the month when customer signed up or did their first transaction and have rate of 100% activity."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ###  [Average standard cost monthly cohort](#Average-standard-cost-monthly-cohort)\n",
    " \n",
    " ###  [Average list price monthly cohort](#Average-list-price-monthly-cohort)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>After understanding and working with this notebook, you will be able to do:</b> \n",
    "    <li>Understand what is cohort and cohort analysis</li>\n",
    "<li>Handling missing values</li>\n",
    "    <li> Month extraction from date</li>\n",
    "<li> Assign cohort to each transaction </li>\n",
    "<li> Assigning cohort index to each transaction</li>\n",
    "<li> Calculate number of unique customers in each group </li>\n",
    "    <li> Create cohort table for retention rate</li>\n",
    "<li> Visualize  the cohort table using heatmap</li>\n",
    "    <li> Interpreting the retention rate</li>\n",
    "<li> Work with other business  matrices</li>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import datetime as dt\n",
    "\n",
    "import missingno as msno\n",
    "from textwrap import wrap"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data loading and cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading dataset\n",
    "\n",
    "transaction_df = pd.read_excel('transaction.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>transaction_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>customer_id</th>\n",
       "      <th>transaction_date</th>\n",
       "      <th>online_order</th>\n",
       "      <th>order_status</th>\n",
       "      <th>brand</th>\n",
       "      <th>product_line</th>\n",
       "      <th>product_class</th>\n",
       "      <th>product_size</th>\n",
       "      <th>list_price</th>\n",
       "      <th>standard_cost</th>\n",
       "      <th>product_first_sold_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2950</td>\n",
       "      <td>2017-02-25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Approved</td>\n",
       "      <td>Solex</td>\n",
       "      <td>Standard</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>71.49</td>\n",
       "      <td>53.62</td>\n",
       "      <td>41245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3120</td>\n",
       "      <td>2017-05-21</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Approved</td>\n",
       "      <td>Trek Bicycles</td>\n",
       "      <td>Standard</td>\n",
       "      <td>medium</td>\n",
       "      <td>large</td>\n",
       "      <td>2091.47</td>\n",
       "      <td>388.92</td>\n",
       "      <td>41701.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>37</td>\n",
       "      <td>402</td>\n",
       "      <td>2017-10-16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Approved</td>\n",
       "      <td>OHM Cycles</td>\n",
       "      <td>Standard</td>\n",
       "      <td>low</td>\n",
       "      <td>medium</td>\n",
       "      <td>1793.43</td>\n",
       "      <td>248.82</td>\n",
       "      <td>36361.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>88</td>\n",
       "      <td>3135</td>\n",
       "      <td>2017-08-31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Approved</td>\n",
       "      <td>Norco Bicycles</td>\n",
       "      <td>Standard</td>\n",
       "      <td>medium</td>\n",
       "      <td>medium</td>\n",
       "      <td>1198.46</td>\n",
       "      <td>381.10</td>\n",
       "      <td>36145.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>78</td>\n",
       "      <td>787</td>\n",
       "      <td>2017-10-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Approved</td>\n",
       "      <td>Giant Bicycles</td>\n",
       "      <td>Standard</td>\n",
       "      <td>medium</td>\n",
       "      <td>large</td>\n",
       "      <td>1765.30</td>\n",
       "      <td>709.48</td>\n",
       "      <td>42226.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   transaction_id  product_id  customer_id transaction_date  online_order  \\\n",
       "0               1           2         2950       2017-02-25           0.0   \n",
       "1               2           3         3120       2017-05-21           1.0   \n",
       "2               3          37          402       2017-10-16           0.0   \n",
       "3               4          88         3135       2017-08-31           0.0   \n",
       "4               5          78          787       2017-10-01           1.0   \n",
       "\n",
       "  order_status           brand product_line product_class product_size  \\\n",
       "0     Approved           Solex     Standard        medium       medium   \n",
       "1     Approved   Trek Bicycles     Standard        medium        large   \n",
       "2     Approved      OHM Cycles     Standard           low       medium   \n",
       "3     Approved  Norco Bicycles     Standard        medium       medium   \n",
       "4     Approved  Giant Bicycles     Standard        medium        large   \n",
       "\n",
       "   list_price  standard_cost  product_first_sold_date  \n",
       "0       71.49          53.62                  41245.0  \n",
       "1     2091.47         388.92                  41701.0  \n",
       "2     1793.43         248.82                  36361.0  \n",
       "3     1198.46         381.10                  36145.0  \n",
       "4     1765.30         709.48                  42226.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# View data\n",
    "transaction_df.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Checking and working with missing value with wonderful missingno library\n",
    "\n",
    "\n",
    "<div class=\"alert alert-block alert-success\">\n",
    "<b><a href=\"https://libraries.io/pypi/missingno\" target=_blank> Click to read more about missingno library. </a></b> \n",
    "   \n",
    "</div>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1b2b6240>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bcTfnAuNu5s24m2z2r23xA7BtMKhpffEbJvlEksfN+w5aef768w+mnUmeve61X5ekklx76fexFTfZjLvJZtxNNmNvSb5r/m9/t/nra6089+wkn5+ff/K61x08P+5Y+j1sxc28GXu7GvPmKSv7r5vpBlfflOR6S7+HrbrJZtxNNuNushlzcy4w9mbejLvJZv/aag6Agc03rNo5//m0JD+U5Lu6++NVdWB3Xz4/d6MkT0hyQpIHdfc75v3V3b32uNDb2JJkMy7ZjEs246uqwzN99O3/JDmxuz9RVYd096VV9bwkR2b6+OhtkvxEko+vZiKbzWfejO9qzpv7dff5Cx7utiKbcclmXLIZj3OB8Zk345LN/uWApQ+A3auqA6qqktxkZferklye5Ler6oY9Lf6+dlffTyZ5WaabXd1u7QVrP4j8QNo8shmXbMYlm/1Hd1+c5E1J7pjk6VX19fOJ3DGZbqT4+iS/k+QOSW6xPhPZbB7zZv9xNefNNy13pNuPbMYlm3HJZhzOBfYf5s24ZLN/UVYPqqoOS/LCTHf4/WBVvbSqvrW735zpZgo/mOSJ8wS7vKoOSpLuPjvJv2a6wQJ7gWzGJZtxyWZcVXVYVT25qq4zf732D53HJjkjyY8mOb+q/jHJ+5P8cXef1t3/kGl9t5svdOhbnnkzLvNmXLIZl2zGJZtxORcYl3kzLtns/3YsfQBc2fwD6e+SfDLJ3yb5qyS/kORmVXWP7n50Vd0wyU8muV5V/Vp3/8f82htmujvwh5c5+q1NNuOSzbhkM66qunaSv8j0D5mjquqk+QqDHd391e7+xap6Y5I7J/n6TDdVfMn82rsmuTTTjUrYZObNuMybcclmXLIZl2zG5VxgXObNuGSzNVizejDzb0JfneSwJCd193nz/h9P8tp538vmfb+T6Q6lX01ycpKDMy0a/+NJ7tTdfjBtItmMSzbjks24qmpHkt/OtOb0u5L8WJI/S/LTqyd0q+PXvq6qGyR5bpLbJjmuuy/c529gCzNvxmXejEs245LNuGQzLucC4zJvxiWbrcOV1eM5NtNHDn4ryfnJdCOEJO9J8vEkR68N7O5frqq/znTjhBdk+rjCx5P8gB9Ie8Wxkc2ojo1sRnVsZDOqmyW5Z5Kzkzw60xUIz0/yyqr6mfmE7ms34Fk5kbtfkvtl+tjp3Z3I7RXHxrwZlXkzLtmMSzbjks24jo1zgVGZN+OSzRahrB7PvyX5bJI/6+6dKxPp36vqo0m+JZl+09rdX+nu1yR5TVUdleTTSXZ292cWO/qtTTbjks24ZDOujyf5jSRv7e6Lqup1Sa6V5FnZzQldTeu9HZbpI3N37e5zljr4Lc68GZd5My7ZjEs245LNuJwLjMu8GZdstgjLgAyoqg7t7i9W1QHzD6a1xzclOaC7770y9j99jIG9Szbjks24ZDOutRO1tf/uVXW9JA/KdEL3J0l+tru/NI89orsvmv983e7+3HJHvvWZN+Myb8Ylm3HJZlyyGZdzgXGZN+OSzdZwwNIHwJV19xfnx53zrrWcvpjpt0JJvnbDhV+pqvvs2yPcvmQzLtmMSzbjWruiYO0fN/MVOL+f5DFJ7p3ktKo6uKpumeT5VfW0eZwTub3MvBmXeTMu2YxLNuOSzbicC4zLvBmXbLYGy4DsB1Z+Q3ppprv87khy7STPSfLgJLdZ6ti2O9mMSzbjks3YuvszVfWqJJ3k2Zlu4tOZ1nD7niWPbTszb8Zm3oxLNuOSzbhkMybnAmMzb8Ylm/2Psno/sLKezmWZMjss040WHpjku7v7X5c8vu1MNuOSzbhkM7Y5n4ur6vczrd32G0kuSfJfu/v9yx7d9mXejM28GZdsxiWbcclmTM4FxmbejEs2+x9l9f6hMv3W59Iklyd5XqY7/d6lu/9xyQNDNgOTzbhkM7C1j84lOTzJHZN8Lsn3dvcHlzsqYt4MzbwZl2zGJZtxyWZYzgUGZt6MSzb7H2X1fmBljapPZ5pY3xw/kIYgm3HJZlyyGV9VHZTk6Ul+NMkdnMgtz7wZn3kzLtmMSzbjks14nAuMz7wZl2z2L3XFLxgYXVXdIclbkhzb3f+89PFwBdmMSzbjks3YquroJAf6aNxYzJuxmTfjks24ZDMu2YzJucDYzJtxyWb/oazez1TVtbv7S0sfB1cmm3HJZlyygavPvAGA7c25ALCVKasBAAAAAFjcAUsfAAAAAAAAKKsBAAAAAFjcppTVVXWzqnpBVb27qr5YVV1Vt9zgaw+pqmdW1QVV9aX5e3z/ZhwXAAAAAMBWUVX3q6rXVdW/zV3qh6rqN6vquuvGHV5VL6mqT1XVF6rqbVV1u118vw11s1V1QFU9vqrOq6pLq+rsqrrvbo7xpKr6l6r68nx8D93o+9usK6uPSnJCkouT/NXVfO1Lk5yU5NeT/EiSC5K8Zb7DLQAAAAAAk8ckuTzJryW5R5L/neRhSf68qg5IkqqqJG+cn39EkvsmuVaSd1bVzdZ9v412s09N8pQkL0xyzyRnJTmjqu61OqiqTkpyapLXzX//GUlOqaqHbeTNbcoNFqvqgO7eOf/5IUlenOTI7j5vD6+7fZL3JTmxu18+79uR5JwkH+ru46/xwQEAAAAAbAFVdcPuvnDdvp9NclqSu3f3O6rqPknekORu3f3Oecz1kpyb5PTu/uV534a62aq6UZKPJXlGdz955e99e5Ibdve3rbz2P5L8WXf/3Mq4lyU5Psk3dPdlV/X+NuXK6rWi+v+H45NcluTVK9/rq0n+MMlxVXXwJhweAAAAAMB+b31RPXvP/HjT+fH4JP+xVlTPr/tMkjcluc/K6zbazR6X5KAkp6/7e09PcruqOnL++s5JbriLca9McoMk37un97f0DRaPSXJud39x3f5zMv0HOGrfHxIAAAAAwH7jrvPjP8+PxyT5wC7GnZPk5lV12Mq4jXSzxyT5cpKP7GJckhy9Mi67+LvXj9utHXsasJcdkWmd6/UuWnn+qlzzNUw24OEPf/i++Gv2mVNOOWXpQ9g0shmXbMYlG7j6zBsA2N6cCwD7UF2twVU3TXJykrd199/Pu49Ict4uhq91rocn+Xw23s0ekeSSvvJ60rsal118z412vYtfWV3ZdeF8tUIBAAAAANhO5iuk/zjJV5M8ePWpbKxz3RvjspuxG7J0WX1Rdt2oH77yPAAAAAAAs6o6JMkbk9wqyXHd/e8rT++pc714g+MuWnk8vKrWl9O7GpddfM8j1j2/W0uX1eckObKqDl23/+gkX8mV10EBAAAAANi2qupaSV6X5LuT3Ku7379uyDm5Yv3oVUcnOb+7P78ybiPd7DlJDk5y612MS5IProzLLv7u9eN2a+my+o1JrpXk/ms7qmpHkgckeWt3f3mpAwMAAAAAGElVHZDk95PcPcl9uvusXQx7Y5KbVtVdV173dUl+dH5uddxGutk3ZyqvH7Tu7/npJB/o7nPnr9+d5FO7GXdRknft6f1t2g0Wq+p+8x+/c368Z1VdmOTC7j6zqm6R5KNJTu7uk5Oku99XVa9O8rz5NwLnJnlYkiNz5TcFAAD/iRtejUs245LNuGQDV595My7Z7DX/K1O5/PQkX6iqO6089+/zciBvzFQcn15Vj8207MfjM60p/dtrgzfazXb3J6vquUkeX1WfS/LeTIX23ZLcZ2XcZVX1pCSnVNXHk7xtHnNikkd091f29OY2raxOcsa6r9cSPDPJsZn+YxyYK1/N/eBM/3GfluT6Sc5Oco/ufu8mHhsAAAAAwP7unvPjE+Zt1W8keUp376yqH0nyrEwd7SGZyusf6O6PrXvNRrvZJyT5fJJHJrlJkg8lOaG737Q6qLtfVFWd5NFJHpvk/CS/1N0bavs3razu7vULbK9//rxc+Q6R6e4vJXnUvAEAAAAAsAvdfcsNjrso0xXNJ+5h3Ia62e6+PFOh/bQN/N2nJjl1I8e53tJrVgMAAAAAgLIaAAAAAIDlbeaa1QDANeAGJAAAAGxnrqwGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABanrAYAAAAAYHHKagAAAAAAFqesBgAAAABgccpqAAAAAAAWp6wGAAAAAGBxymoAAAAAABa3KWV1VX1TVb22qj5TVZ+tqtdX1c03+NqbV9VpVXV+VX2xqj5cVU+rqutsxrEBAAAAAGwFVXWzqnpBVb177lK7qm65m7F3qqo3V9UlVfWFqnp/VT1w3ZhDquqZVXVBVX1p/r7fv4vvdUBVPb6qzquqS6vq7Kq6727+3pOq6l+q6stV9aGqeuhG3981Lqur6tAk70jyrUl+LsnPJPnmJO/cU+E8P/+2JN+f5ElJ7p3kJUkeneRl1/TYAAAAAAC2kKOSnJDk4iR/tbtBVXXvJH+Z5BNJfirJfZK8OMkh64a+NMlJSX49yY8kuSDJW6rqDuvGPTXJU5K8MMk9k5yV5Iyqute6v/ekJKcmeV2SeyQ5I8kpVfWwjby5HRsZtAcnJblVkm/p7o/MB/VPSf41yS8kec5VvPYumYrt47r7rfO+d1bVEUkeU1WHdvcXN+EYAQAAAAD2d3/Z3TdOkqp6SJIfXj+gqq6b5OVJTunuX1l56m3rxt0+U5F9Yne/fN53ZpJzkpyc5Ph5342SPCbJM7r7WfPL31lVRyV5RpI/ncftSPL0JK/s7iesjPvGJE+tqpd092VX9eY2YxmQ45OctVZUJ0l3n5vkXZka+6ty0Pz42XX7L5mPrTbh+AAAAAAA9nvdvXMDw+6f5IZJnr2HcccnuSzJq1e+/1eT/GGS46rq4Hn3cZl63NPXvf70JLerqiPnr+88/73rx70yyQ2SfO+eDnwzyupjknxgF/vPSXL0Hl77tkxXYP9WVR1dVYdV1d2SPDLJi7r7C5twfAAAAAAA28X3JrkoU5H8/qr6alV9rKqeXFUHrow7Jsm5u1jZ4pxM5fRRK+O+nOQjuxiXXNEBHzM/ru+K14/brc0oq4/ItEbKehclOfyqXtjdl2b6j3dApoP+XJK3J/n/kvzSJhwbAAAAAMB28o1JDk3yB0lekeQHk5yW6Z6Bz1oZd1W97trza4+XdHdvYFx28T3Xj9utzVizOknWH2iygSU8quqQTJeZ3yjTjRnPT/LdmRb0/mqSDS28DQAAAABAkunC4EOSPKG71+4n+BdVdYMkv1hVT+nuz2TqbzfS6+dAW+sAACAASURBVF6dcdnN2A3ZjLL64uy6FT88u27mV/23JMcmOaq7Pzrv+8uq+kyS362qF3X32ZtwjAAAAAAA28Gn58c/X7f/rUkemmm5jr/JdMXzzXfx+rXVMi5aeTy8qmrd1dW7GpdMXfEFK+OOWPf8bm3GMiDn5Ir1SFYdneSDe3jt7ZJcvFJUr/m7+fE21/DYAAAAAAC2k7U1otdf4bx25fPOlXFHVtWh68YdneQruWKN6nOSHJzk1rsYl1zRAa/9veu74vXjdmszyuo3JrlTVd1qbUdV3TLJXebnrsonMrXyR63b/z3z48c34fgAAAAAALaLN8yP91i3/7gkl+aKGyC+Mcm1ktx/bUBV7UjygCRv7e4vz7vfnKm8ftC67/fTST7Q3efOX787yad2M+6iJO/a04FvxjIgL850M8Q/rqonZmrsn5rkY0lOXRtUVbdI8tEkJ3f3yfPuVyR5VJI/raqnZ1qz+o6ZFvv+h428AQAAAACA7aKq7jf/8Tvnx3tW1YVJLuzuM7v7A1X1iiQnV9UBSd6b6SaLD0ny1O7+fJJ09/uq6tVJnldV10pybqZ7CB6ZlcK5uz9ZVc9N8viq+tz8/R6Q5G5J7rMy7rKqelKSU6rq40neNo85Mckjuvsre3pv17is7u4vVNXdkjw3ySszXU7+9iS/svbGZ5XkwKxczd3d51XVnZI8JcnTknx9ppL7d5M8vbt3BgAAAACANWes+/qU+fHMTPcHTJJfyLRqxSOS3DjJeUke1d3PX/faByd5eqZu9vpJzk5yj+5+77pxT0jy+SSPTHKTJB9KckJ3v2l1UHe/qKo6yaOTPDbTxcm/1N2nZAM248rqdPf5Se67hzHn5cp3iEx3fzDJCZtxHAAAAAAAW1l3X6lj3cWYryR54rxd1bgvZVr54lF7GHd5pkL7aRv4u0/NyoobV8dmrFkNAAAAAADXiLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxW1KWV1V31RVr62qz1TVZ6vq9VV186vx+ttU1RlV9amq+lJVfaiqHrkZxwYAAAAAsBVU1c2q6gVV9e6q+mJVdVXdct2Yu1fV6VX10blr/WhV/e+qutEuvt8hVfXMqrpgHvvuqvr+XYw7oKoeX1XnVdWlVXV2Vd13N8d4UlX9S1V9ee55H7rR93eNy+qqOjTJO5J8a5KfS/IzSb45yTur6jobeP0dk/xtkoOTPCTJvZI8O8mB1/TYAAAAAAC2kKOSnJDk4iR/tZsxD01ygyRPS3KPJL+Z5PgkZ1XVYevGvjTJSUl+PcmPJLkgyVuq6g7rxj01yVOSvDDJPZOcleSMqrrX6qCqOinJqUleN//dZyQ5paoetpE3t2Mjg/bgpCS3SvIt3f2R+aD+Kcm/JvmFJM/Z3Qur6oAkpyV5e3f/+MpT79yE4wIAAAAA2Er+srtvnCRV9ZAkP7yLMQ/v7gtXvj6zqj6c5MxMRffL5tffPslPJTmxu18+7zszyTlJTs5UcGe+IvsxSZ7R3c+av+c7q+qoJM9I8qfzuB1Jnp7kld39hJVx35jkqVX1ku6+7Kre3GYsA3J8krPWiuok6e5zk7wryX328Npjkxydqyi0AQAAAABIunvnBsZcuIvd75kfb7qy7/gklyV59cprv5rkD5McV1UHz7uPS3JQktPXfc/Tk9yuqo6cv75zkhvuYtwrM13p/b17OvbNKKuPSfKBXew/J1MRfVXWDvCQqjqrqi6rqk9W1e9U1bU34dgAAAAAALa7u86P/7yy75gk53b3F9eNPSdTOX3UyrgvJ/nILsYlV3TAx8yP67vi9eN2azPK6iMyrZGy3kVJDt/Da79xfnx1krcm+aEkv51p7eo/2IRjAwAAAADYtqrqukmel6mofsPKU1fV6649v/Z4SXf3BsZlF99z/bjd2ow1q5Nk/YEmSW3gdWtl+end/evzn/+iqg5M8oyqOrq7P7gpRwgAAAAAsI3M60i/KtPyH3eZl/n42tPZWK97dcZlN2M3ZDOurL44u27FD8+um/lVn54f/3zd/rfOj+vvOgkAAAAAwB5U1QFJTkvyg0l+rLv/ad2Qi7L7Xnft+bXHw6tqfTm9q3HZxfc8Yt3zu7UZZfU5uWI9klVHJ9nTVdFr65Wsb9vX3vgeFwwHAAAAAOBKXpTkAUke2N1v38Xz5yQ5sqoOXbf/6CRfyRVrVJ+T5OAkt97FuOSKDnit613fFa8ft1ubUVa/McmdqupWazuq6pZJ7jI/d1X+LNPi3PdYt/+4+fHvN+H4AAAAAAC2jap6dqb7Aj64u9+wm2FvTHKtJPdfed2OTAX3W7v7y/PuN2cqrx+07vU/neQD3X3u/PW7k3xqN+MuSvKuPR33ZqxZ/eIkv5Tkj6vqiZmukn5qko8lOXVtUFXdIslHk5zc3ScnSXd/uqp+M8mTquqzSd6R5I5Jfj3Jad29/g6TAAAAAADbVlXdb/7jd86P96yqC5Nc2N1nVtXjkjwqycuS/GtV3Wnl5Rd290eTpLvfV1WvTvK8qrpWknOTPCzJkVkpnLv7k1X13CSPr6rPJXlvpkL7bknuszLusqp6UpJTqurjSd42jzkxySO6+yt7em/XuKzu7i9U1d2SPDfJKzMt4fH2JL/S3Z9fGVpJDsyVr+Y+Ocnnkjw8yWOSXJDkmZkKbwAAAAAArnDGuq9PmR/PTHJsknvOX584b6tOS/LzK18/OMnTkzwtyfWTnJ3kHt393nWve0KSzyd5ZJKbJPlQkhO6+02rg7r7RVXVSR6d5LFJzk/yS919SjZgM66sTnefn+S+exhzXq58h8h0dyd5zrwBAAAAALAb3X2ljnXd88deje/1pUxXYT9qD+Muz1RoP20D3/PUrKy4cXVsxprVAAAAAABwjSirAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAFicshoAAAAAgMUpqwEAAAAAWJyyGgAAAACAxSmrAQAAAABYnLIaAAAAAIDFKasBAAAAAPh/7N15vG7l/P/x16dzOuWkNJAyRMkXkZIpYwnf+qYBoVQ0kEwlJCXfNKGSJqRSQlGRfNVPiGRKiBSOqSgZIlTSPJzP74/PdXdWt905p/a99zr2fj0fj/04e697rbu192oN9/u6rs/VO8NqSZIkSZIkSVLvDKslSZIkSZIkSb0bSVgdEQ+PiNMj4p8RcX1EnBERq9yH99krIjIivjuK/ZIkSZIkSZKkqSQinhUR50TE1S2LvSgidhxaZ7mIOD4i/h4RN0bE1yNizTHea8mI+EBEXBURN0fEBRHx3DHWW6xlt1dExC0RcUlEbDHq323cYXVEzAa+ATwW2A54FfBo4LyIWOpevM9qwN7A1ePdJ0mSJEmSJEmaaiLiicDXgcWBnYAtgAuBEyLiDW2dAM4ENgJ2aessTuW1Dxt6yxPa++wDbAJcBXw1ItYeWu8AYF/gw8D/AN8HPhcRG4/y95s5gvfYCVgNeExmXgYQET8FLgV2Bg5byPf5KPBp4DEj2i9JkiRJkiRJmkq2AmYAm2bmDW3Z1yJiLeDVVMa6GfBsYIPMPA8gIi4ALgf2AHZty9YCtgZ2zMwT27JvAXOA/dv7EBErArsDB2Xmoe2/eV5ErA4cBJw9ql9uFGVANgO+PwiqATLzcuB8YPOFeYOI2BpYB9hrBPsjSZIkSZIkSVPRLOB24Oah5dcxL+vdDPjzIKgGyMx/Amdx97x2s/Zep3XWuwM4FdgwIpZoizds/92Th/6bJwNrRsSq4/mFukYRVj8e+PkYy+cAayxo44hYDjgc2CMzrxnB/kiSJEmSJEnSVPSJ9u9REfGQiFg2InYCnk9lrDD/vHaViLh/Z73LM/OmMdabBazeWe9W4LIx1oOFyIAX1ijKbSwPXDvG8muA5RZi+w8Av2HeH1qSJEmSJEmSNCQzfx4R6wNfAN7YFt8OvD4zT20/Lw9cMcbmg47CywE3MP9cd/A+g3+vy8xcwHrjNqra0MM7ChAL2iginkPVUllnjF9WkiRJkiRJktRExKOBz1O9ml9PlQPZHDgmIm7JzE9TuezC5LWjXm/cRhFWX8vY6flyjJ3Mdx1LzTj5x4hYtrNPM9rPN2fmrSPYR0mSJEmSJEn6T/c+qif1Jpl5e1t2bkSsABwZEadQPZ7vKa+FeZntNcAq81nvms6/y0VEDHU4Hl5v3EZRs3oOVbdk2BrALxaw7eOoFoBrO1/PAtZt379hBPsnSZIkSZIkSVPBmsAlnaB64IfACsCKzD+vvTIzb2g/zwFWjYjZY6x3G/NqVM8BlgAeNcZ6sOAMeKGNIqw+E1g3IlYbLIiIR1Kh85kL2PZ5Y3xdQhUAfx5w+gj2T5IkSZIkSZKmgr8Aa0fErKHlTwduoXo5nwk8NCLWG7wYEcsAm3L3vPZMYHHg5Z31ZgJbAud0Kl58hQqvtxn6b24L/DwzLx/vLzUwijIgHwPeDHwxIt5N1S85APgDVeYDgIh4BPBbYP/M3B8gM785/GYRcR0wc6zXJEmSJEmSJGka+zDwOeCsiDiaqlm9GfBK4PDMvC0izgQuAE6OiHdQFSz2ompMHzJ4o8y8OCJOA46IiMWBy6lKF6vSCaYz8+qIOBzYKyL+BVxEBdobUPWyR2bcYXVm3hgRGwCHAydRv/S5wG6dLuW05TMYTW9uSZIkSZIkSZpWMvP0iNgYeCdwPLAk1UH4TbSOw5k5NyI2AQ4Fjm7rXAA8LzP/MPSWOwDvBQ4ElqWqXmyUmRcNrbc3cAPwFmAl4NfAKzLzrFH+fqPoWU1mXglssYB1rmAhZojMzPVHsU+SJEmSJEmSNNVk5peBLy9gnWuAHdvX/Na7GXhb+5rfendSgfaB92pn7yV7OUuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3IwmrI+LhEXF6RPwzIq6PiDMiYpWF2O4pEXFcRPwqIm6KiCsj4tMRseoo9kuSJEmSJEmSpqqI+EpEZEQcOLR8uYg4PiL+HhE3RsTXI2LNMbZfMiI+EBFXRcTNEXFBRDx3jPUWi4i9IuKKiLglIi6JiC1G/fuMO6yOiNnAN4DHAtsBrwIeDZwXEUstYPOtgMcDRwH/A+wJrAP8KCIePt59kyRJkiRJkqSpKCJeCaw1xvIAzgQ2AnYBtgAWp/Lahw2tfgKwE7APsAlwFfDViFh7aL0DgH2BD1M57veBz0XExqP6fQBmjuA9dgJWAx6TmZcBRMRPgUuBnYHD5rPtwZn5t+6CiDgfuJx5fyRJkiRJkiRJUhMRywKHA28FPjP08mbAs4ENMvO8tv4FVOa6B7BrW7YWsDWwY2ae2JZ9C5gD7N/eh4hYEdgdOCgzD23/jfMiYnXgIODsUf1eoygDshnw/UFQDZCZlwPnA5vPb8PhoLot+z3wN+ChI9g3SZIkSZIkSZpqDgHmZOYpY7y2GfDnQVANkJn/BM7i7nntZsDtwGmd9e4ATgU2jIgl2uINgVnAyUP/nZOBNUdZ0nkUYfXjgZ+PsXwOsMa9fbOIeBywIvDLce6XJEmSJEmSJE0pEfFs4NXAG+9hlfnltatExP07612emTeNsd4sYPXOercCl42xHtyHDPiejCKsXh64dozl1wDL3Zs3ioiZwDFUz+oTxr9rkiRJkiRJkjQ1RMTiwLHAoZn563tYbX55LczLbBe03vKdf6/LzFzAeuM2iprVAMM7ChD34X0+DDwTeFFmjvWHkiRJkiRJkqTp6p3A/YD3zmedYOHy2lGvN26jCKuvZez0fDnGTubHFBHvB14HbJeZ54xgvyRJkiRJkiRpSoiIVYC9gdcCS3RqStN+Xhb4F9Xj+Z7yWpiX2V4DrDKf9a7p/LtcRMRQ7+rh9cZtFGVA5lB1S4atAfxiYd4gIvYG9gTekpknjWCfJEmSJEmSJGkqWQ1YkprY8NrOF8Du7fs1mX9ee2Vm3tB+ngOsGhGzx1jvNubVqJ4DLAE8aoz1YCEz4IUxirD6TGDdiFhtsCAiHgk8q702XxGxK3AgsHdmfmgE+yNJkiRJkiRJU83FwPPG+IIKsJ9HBcxnAg+NiPUGG0bEMsCm3D2vPRNYHHh5Z72ZwJbAOZl5a1v8FSq83mZof7YFfp6Zl4/il4PRlAH5GPBm4IsR8W6qfskBwB+oYt8ARMQjgN8C+2fm/m3ZVsAR1C/8jYhYt/O+12fmyFJ5SZIkSZIkSfpPlZnXAd8cXh4RAL/PzG+2n88ELgBOjoh3UD2u96JqTB/Seb+LI+I04Ig2cePlwBuAVekE05l5dUQcDuwVEf8CLqIC7Q2AzUf5O447rM7MGyNiA+Bw4CTqlz4X2K3TpZy2fAZ37829UVu+Ufvq+haw/nj3T5IkSZIkSZKmi8ycGxGbAIcCR1OlQy4AnpeZfxhafQdqssYDgWWBS4CNMvOiofX2Bm4A3gKsBPwaeEVmnjXKfR9Fz2oy80pgiwWscwVDM0Rm5vbA9qPYB0mSJEmSJEmabjIzxlh2DbBj+5rftjcDb2tf81vvTirQPvC+7+mCjaJmtSRJkiRJkiRJ42JYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSwl5j2QAAIABJREFUJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN4ZVkuSJEmSJEmSemdYLUmSJEmSJEnqnWG1JEmSJEmSJKl3htWSJEmSJEmSpN6NJKyOiIdHxOkR8c+IuD4izoiIVRZy2yUj4gMRcVVE3BwRF0TEc0exX5IkSZIkSZI0lYwni13UjTusjojZwDeAxwLbAa8CHg2cFxFLLcRbnADsBOwDbAJcBXw1ItYe775JkiRJkiRJ0lQxgix2kTZzBO+xE7Aa8JjMvAwgIn4KXArsDBx2TxtGxFrA1sCOmXliW/YtYA6wP7DZCPZPkiRJkiRJkqaC+5zF/icYRRmQzYDvD/44AJl5OXA+sPlCbHs7cFpn2zuAU4ENI2KJEeyfJEmSJEmSJE0F48liF3mjCKsfD/x8jOVzgDUWYtvLM/OmMbadBaw+/t2TJEmSJEmSpClhPFnsIi8yc3xvEHEbcFhm7jm0/EBgz8y8x1IjEXEOsExmrju0/AXA14DnZuZ3xrWDkiRJkiRJkjQFjCeL/U8wip7VAGMl3rEQ28U4tpUkSZIkSZKk6WbK5qmjCKuvBZYfY/ly7bX5uWY+2w5elyRJkiRJkiSNL4td5I0irJ5D1UoZtgbwi4XYdtWImD3GtrcBl/37JpIkSZIkSZI0LY0ni13kjSKsPhNYNyJWGyyIiEcCz2qvLWjbxYGXd7adCWwJnJOZt45g/yRJkiRJkiRpKhhPFrvIG8UEi0sBlwA3A++maqYcACwNPDEzb2jrPQL4LbB/Zu7f2f5UYEPgHcDlwBuATYBnZuZF49o5SZIkSZIkSZoiFjaL/U817p7VmXkjsAHwG+Ak4NNU6LzB0B8ngBlj/Dd3AE4EDgS+BDwc2MigWpIkSZIkSZLmuRdZ7H+kcfesliRJkiRJkiRpvEZRs1qSJEmSJEmSpHExrJa0SImI6HsfJEnTg/ccSZIkadFiWD0BIuKlfviR7p2IeFdEvCgz0/NHkjSRImIWQLvn+DwsSdI05OdOadHkw/mIRcRzgdOB47zwLZoi4mkRsUTf+6F5IuJx1GSrx0XE8w2spYXXPVciYkXPHWn+WlB9TkR8FiAz5xpYS5I0PUTEwyNiabir0Xq9iFi17/2SNI8P5qP3S2BP4FUYWC9yIuLlwPeB7Q2sFx2Z+Uvg7cCVwIkR8UID60XD/I6Bx2fRkG2m5IjYGTgW8GF7ETDUiLBMn/uif7M08HtgvYg4DgyspQUZuqb5DC3dRz4/9ysiHgocBOzdfn4tcB6wep/7JenuZva9A1NJRERm/i0iPgLcBBwK3BQRb8/MO3rePZXvAp8CDgOIiE9k5q397tL0FhEzM/OOzDyzPbvtDnw8IrbNzG+18yp73s1pqfu3j4hnAU8GlgGuyMyTPS79Gjo+jwb+F/gIcHWvO6bhY/Ni4NURcQTwHc+bfrVj84+I2B34J/CKiFgsM187CKwzc27f+zldec9fNA1d0zYG1omIczLzhz3v2rQ3v3PG61m/hs6bpYElgGvby3d6fHpzDfArYL+IWBP4b+AtwLm97pXusoDrms8J04Rh9YgMtZA+nvrb/gbYhboZ7e7NqH+ZeVVEvB24ETgKuC0iTsvMm3retWmp3WzuaN9vBDwRWAF4KHBKC6y/4U2pH50H7O2BI4HLgRWB5SJia2D3zPxFf3s4vXWOz5OBZwIXAx/PzBt63TF1j80OVOPoF4HZneVe0/ozA7ijdS74FLASsE1E3JiZbzGw7s9QsPNEapTIDOCyzPxprzs3zXWOy3ZUZ5yzga/1ulMaPmc2Ataneof+DDg1M3/d4+5Na0PHZisqE1idCqu/HBFHZObvvd9Mvsy8GTggIp4B/A/wdeAUj8OiYejcWR2YDSwF/CwzbxjMNeLxmvoc7jgi2UTEjtQD3HOA86nAejfgow756U807cdVqaE+NwIfBLZ0OGM/Ojeibagw5wHACcDB1AfUT0bECywJ0p+I2IAK2w4AXkSdP1sBGwE7eu70KyIeD3wbeCtwe2b+tS33fOlZCw4OA/YHdsvMrwxeM6juR/twM2ggPQl4D/B04E5gl4g4BiwJ0pehBtKvAkcDJwI/jIg9I2L5Hndv2ouIlwIfBQ4E9s7MH4yxjufNJBo6Z74ArAOsBmxDnTeb9rd301vn2GwNfJLqULA/8E1gU+DciHiogdvkGSpl9AAgqUzg+cA7ImK5vvZN83TOnVcD51DnzPnA2VElD/G8mR7Cz0v3zaDFZ6jlZ03qgnc48JHMvC6qUP+21Aei44BdMvPO3nZ8mmuNCftRDwyLA2tTZQ3eAnzKkiCTY+i8WZEK275JBTq3tOVbUGUNHghsnZnftjfi5IuI9wLrAa/IzD+3ZV8CHtOWXdTn/gkiYn9qroTbgPUy88c975KAqJJgqwGbdgLSdwFrUENQP5uZ3+1xF6etiPgoFRa8GrgMmAW8jxoKfFpm7tzWs+fOJIuIFwGnAe8FzgLuoOaB2QvYmRo94nP0JGoBz/2BTwN/zMw3dl7bmRoRdwfwgeHPRpp4EfF04P+AQ4CTMvPvbcTVhdSz9eaZ+a8ed3HaiqqNfHb7et/gOETEpcAtwBaZ+Zu2zPNmAg199lwV+Ct1759L5QD7Up3YDsrMazrbzXYE9uRrOcCnqdzmR9Rz81FUg9wbM/PEHndPk8QyIPfdk4CLhm4qy1FDFC7MzOsAMvPyqMl7Hgy8Ebg+Ivb2QXviDX/IjIh1qYaEA4FPtCHAT6F6JH4IyIg4eRCWavRaD+qvD3p/NksBDwN+lJm3RMTimXl7Zn4+alKyE4CTIuK1memQ0wkUrX5492fgacANQ0H1msAmmfnTFiyslpkf6mWnp5HhDzKDnzNzn4i4kXqge3dEvCtr0lJNkjGOzUzgQdSHoNXbB9b3UyMT5gAvB1aKiIst2zK5ImIFavTbKcC3Ow0Ju1GB9U4RcXNm7mZJkMnT6fG2FfBl4NhBYNCCt99Tz9c+P0+yFkDfSJUB+1tEzKDmsPgg8FiqoXQ2sDLwVgO3Sfc44F/AlzPz723ZAVRD3O6Z+a+IuL/3ml6sADwcOK8TVJ8JLEkLqqNKHl05yA40ekNB9SuAfagg9PD22fNwIKjOhRkR78vMf7Z1N4yaf8zjM0kiYimqM8HJwDGZeW1bPpeqWuBcCdOEQ7Xug4jYA/hsRDxoaKj1ktTECTe29WYBtGDu48DtwB7UBH+aQBGx5BgfLlenhvucm5l/a8t+TPXW+QY1XPvlETF78vZ0+mhDed5Plfro+ivwD6rmLpl5e0Qs3r4/EbiAOrfOiIhVLG8wehHxcIBOaPP8iJjVfv4Z8LiIWDEivkDVFd+0BdXLUvURn+zQuYk19KD9iIj4L2CNiLg/QGYeTJXPWR/YNyIe19vOTkOdY7Na+/kOqgbiC6j7y8eoyfyekpnrU71Gnwvcr4/9neaWAB4FXJOZd0TEYhExozXIvYfqvfPmiDgFHGo6Wdo5NAN4CvCnTlD9JWo0wuaZeXFEbBoRz+xxV6e8oaHyS7dvZwEXUWVzfkmVNZhBNfysQz2rreMz2sS6h7/vOsD9M/NXbZ2zgScAL8/Mi6ImyD6slT3Q5JpJdcq5He66nq3NvA4fj6fKhT6hv12c+obK5ZxIjUT48aCDWmvIGZQ8fBvVSepwKiy92qB6YsW/l4+aTXWW+mMnqD6b6vDx6sycExFPbZ0ONYUZVt83FwJbtsBz5c7yH1DlJY6IiBUy87bWuwpqqM/FVC8Eh/1OoIj4IPC9iJgRZfD/+QrUw/bgojer9Uq8kuphdX8qUHjNGBdNjVNmfgr479aLYO2IeEh7aS7wLWD91oI9CKwXa+ssQTX2vCozr7THzmi1cG3fiDi4/fxqatKkF7ZVzqfuFRdRDw7PycxL2rXtJcArgK8MHiY0MToP2q+i6rd9n2pIOK0tIzPfQ40e2RD434hYo6fdnZYi4oXAtyJiV4DMPA7Ymipn9NbMfGHWZEpLUiH1JVStZE2uv1Clp7aIiNVbGD0oXfB74BfUubV2RKw8vzfSaLVGnn9Q5XMGPRC7DaQPBLYANg/nS5gQQw2jL6bmDlm/hTrvAz4DnAEclpnPzMxftU45fwauAhY3sJ4YQ8fmMRHx4PbS94AlI+JFEXEWFXxu3p7VlqbKGw1G/2oCDDXwrNru81DXsxuBrSLiq9T17EWd5+gXUMfrxsne5+mmNXK+F3g3VZLlnLZ85dbx4+bM3JcKq9eljs07M3Ovtp7XtRGLiPvBvE4BEfHQQYc1arTInW35oAFucO6sAryd6rRjZjOFeXDvg8w8LzN/HBHrAb+MiJe3l66nWutWAk6MiJVar50lgWdRJ91HMvOj4EVvIrQL1g+AXdtQ0RmdXlFnUUMV9wIYaky4ggp/zmmv2ZNqhKKGjJKZv4qIQQ+c/SLiIe0D0L5UD533RMSgFuJyVC/RWVSNyv9r7+V1a7RupIa+7doeBj5BlSw6FyAzPw+cTpU0mAPMjIinUvXdPgIcnZmn9rDf006713yM6umxHbAx8FDgw1EzzZOZ+wOHAi8GDrXH+6T6LXU+vT4i3gR1/mTmCZn5RbirBMWWwOuBL2SnLqJGa3Dfad/f9bzV7u9nU6Ot3hARj8zMua3UwUOoZ7UDgedm5lWTvd/TwT09/7b7+1eo0Tq/pEruPX+ogfSZwHfTOUYmRCcM3YH6THM9NbqNzPwjcHBm7pmZH2vrLR8R2wIvBb6UmbfZqWD0hoLqbamRoRu1l39OXbdOp86ZF2bmT1qDzkuoWu9faqNHNGJDx2Yr4FTquWzJ1gD6v8BO1PwvO2Tmz6JGJm5DTbj4qcz8SU+7P508lrqenZaZN0XE7Ki5Rc6kPpfu3o7Zh4C1gI0z83C4q7So17URap8ld4mItdvPO1OlWR7cOoReBOwcEd+hRld1G3leSB2jP5vZTG3WrB6fJYFfU0OrMjNPj4ijqd7WrwR+FBFfp0K3jYB3ZeYVg4296I1eu2B9Fu6apOfoiHhiZv4T+DtwJPDOiPhHZu7VGhMGdXn/BmxvD9HRy06NyTYk8TRqcqtbI+LgzPxdRGxIhXAHR8Q+1FDsRwEHZOalne29KY1QZv41It4KPJq6Tp2bmcfAXaMPbsvMt0bVq9yMCqyvB/4A7JWZR7Z1res6gaLqt7+WGmVwVLumERH7Ab+jeukCkJkHtl4iV3g9mxiDD6edfxdv17GNqF6Hu0XE3EHjdNtmS2rG+c2AQzrnmZMqjVhUWY9Bj5xdqd43lwPnZ+Z3M/PIqFI5rwceGxEfpkbxbEF9APpuzisXphEaCnaeRPWivhr4dWZeHRGfpO5F6wLHtdFYjwE2oEYn7pOZZ/W0+9NCu44dRgVpJ+bdh8B354J5AdWp4PXAoZl50mTu53QxdM7sBBxDdTJ4HvDJzPx51ATyX6aendePmkBuPeDNwPsz8xPD76XRGBr59jGq9+73ct4cSCdSo3ffD7wjIrajyhysRzX+fLht77GZAJ2/6/LA0sCzWmPBLlRGcxJ1LHYD/h8wp9tQ3bb3883E2Ad4dkRc1L5/G5XHQM3DczzV4XO71sjzYKoBbvAs8PUe9lmTKLwmjk9EbEDVOPwvqjfv51rPkE2pnm3PAS4HPu8H08kVVc7gKOCPwLOyJkp4DLA7sCNVT/Ri6sa1IzUJiQ8ME2goQDgWeBlVguXgzPxD69X2POqh4VpqEtPT2voekwnQrlcrUvXboFqvj8nMPdrrSw4euCPiYcBjqIaff2Xm7wbv4YPc6ETE04BLuj0Ho8oR/IwaunhYW3Y2dx9Sug4wNzMvHno/z50JElXy6x/t+5mtAXRVqofbstSs8oMeiG+mHrI/MQh1PHcmVkR8lhrK+2eqV9WvqMae49rr76Ym9FuDaoS7BnhJZl4y9jtqVFpgcwjV8WMxqpTB7u0D6WrUxNfrUKHcLcCtwPGZ+YG2vde1CdJ6G65GlV8ZzGXxLuo8uYa6vn2P6kG6PHBK5zrnNW2Eun/PiHgNFYa+mXpOfmBmPr/TaLo+1Yv3cVSpqZ9QvUiPHX4vjVZU7emzqA4FH8zMm8dY58XU5MqrUeUPf5SZp7fXPDYjck/3hhZQfwd4BPVMcDGwU9YEpE+kyh5umJnfm9QdnsYi4hnAedQzwAepjp2Dxp+ZVCZwAFUC5JfUKOwHUpUKBuUrfRaYwgyr76OhVu4XUA8HdwXWnfVmA7d1Hva8GU2SdpF7OTUk/kbgqS2wXoW6+O1KDaH/C1Vm4qi2nRe9CTSfwPqgrCGmY23jeTMBhq5jq1A9C99F9S48NjPf0V6blVU259+Og+fLaEWV+jgNeAMVat7alq9CzXdwaGYeFfPqt23agurVqHqinwfOyM5oBk2MiNiY6kG1a2Z+py0bBNaPBL5JlTHatxOOrpiZV7fvva6N2ND95UlUj7ZdqHPnqdToqgcCR2TmR9p6KwMPo3qM/mFwfDRaQ/ebtaiyax+iyn5sBLyKmoRs26yJFB9ElWp5BjWK8S+Z+eO2vefOBImIoO5BS1E1QR9K9QhdlRpZtS5wVma+PKqG+AMy87dtW4/LiHQ7CrSfdwY+Ss1/cGREvIdqqH5aRMwCbm+B9QOokdOzgetz3igsj82IRMQDM/PvQ8s2pM6b/8nMCzrL7/Z3b8dq7iAXGGsd3XdD95nHAasAi1P39ktaLrMmcENmzmnrzabKtLwOeGlm/rqfvZ9+oiZI/CFVm/prwJ6Z+dPO60E9R+9EVS64AvhV55nbc2eKM6weh6EL4vOpwPqxwBsz84y2vNsibqgzSTq9DGZSE8B9gE5g3VlvOeo8GMw670VvEtxDYH0y1cPamnoTaOi6tRgwa+gD0erA3lT9yWM7Pay3oM6lV3qOTJwWnL2famh7G3cPrL8OPAT4K9UzZ5PWC3EGNTpkN+BNmfnNPvZ9Ohi6dm1D9Qz9HTUJz/fa8kHjzgbAF4ErgRMGPeLbOj4PTKCIOIAKnx8OvKFzDj2VKm+wMjVB3NH97eX0MXTfeRI1f8ibqF5U17Xl2wN7tE1eeU+92z13Jl5EvJaak+IfVK/23wKvzZogdh/q2K2VmX/pbONxGZGIOJ66bxyYmXMj4r+oEoefpEaG3BlV3uidVCPC7Z3z636DXr2dz0IemxGJiKOo8POtQ8/Ob6ZG8y6dmTd2nxXa688BLs7Mf036Tk9DUaOr30s1uj2ACkP3o+77N3fWeyjwIqpj277d5zRNnM61aQngKdQI388A3wD2zjZCdH65jJnN9GDN6nHoPgBk5rnV+MO7gOPbh9VTuyeRDwqTp3Ns7ogaBgwVWP8wIp6amde3B4lrW6udNakmUXvQnpGZd2bmzhFxJ/AaYOmIeHNm3tT3Pk5FQ4HBpsC2wBMi4tdUj8MfZOZlEfG+tsmbWg/RH1G1Kz/gOTKxMvOqiHg71bh2FHBbRJzePuDsSfUUXQ94WQuqH0g1LBxG1W/7Zk+7PmW1XqCzMvPCdu3aElguM49pDaJ7Ax+MiN0z8/zMvK1tOptqWFiaCn3u4vPAxGmhwM7UMPiTMvPW1pvtjsy8MCLeRp0vu7RntSP63N+pLCKeBVw4OCciYg1qYrg7qPIE13WeBT4REUkF1idFxDbtGne3oM1zZzSGngcCWGIQvmXm8RFxDVXP9e85b4LYJanz6mKqweEuHpfRaOHN76jnscHz1uVUuaJLOwHojVQJnTs6x/HFwCMi4mOZedNgucdmpK6j5na5JSJmdz6v/IwqVbR7RLy3ff5crDU2LE3Vdb8sIvbzOXpiRcTmwHHAQdRkystRHUD2A5aJiD1bTrAZ9Vy9MtUwNCixZ+POBOj+XTv/3kqVXyEiXkGNTnhfROyVmZe082cDKrP8ett0sK3n0TRgz+oRGHrgeyFwMHB0Zh7f755pjB7W76d6W62dnR7WGo17e4Mf6qV4MvDtbMPlNXGiaoUeQU3G8y3g3cBV1BDTU9pD+KOouogvA5LqzXNo294HuREbNJq169VTgEdSD9tQdfYHE1dtTN1jlqeGxi/W1v1QZh40eC+Pz2i04OAoav6Jnama7ccBr8nME9s6OwB7UbXc35mZ32nh6E5Uj54jbICbXK1n6NupkQjrZuYv23PAnZ1z7EQqcHt+3n0COY1AROwLbA88I9tkVRGxEtUrd3uqZuhzB40JnUD7VdRES4Ph2td6PRutoc8tm1FB6DrA96k5dv5tAsuIWAHYhHp22CvbPDwavU7I+TKq7Mo+w/eQFuB8gZoc+x9U+bZTqXvQByZ7n6e64eeqmFd/+j2tk8cDqGB0FWqk9UmtcXsp6tgcBLwlO6VCNVrtOXoGNQohqJJSN7bXlqfKf+4DbJ2Zp0bNw/M24DuZ+YW2nr11J8DQPefZwJOBlYBfZuanOuttRl3HzgNOoHU6AHbMNkmsphfD6hEZOgkflvdQe1eTbyiwfiVwLLBzOmv5hImI9YDrciEmqYqhoXJtmWHbCMXdyxG9kAppjsjMQyPiEcAvqEacG6jQ7dQWWC9LDXdcITN/NfxeGr2I2JHq/XEx9bdfmwo8dwOOa9eywSzmKwKXUjOXn9u29/iMWFRpnB9SPdlWpob/fmiosW17qlFhWeqD0kxgByrUceLeCTK//9/bMdmXKmPwkjEC6ydRQegVk7W/00lrsHlSZv6g3WeuzsybW2C9ExXonJGZWw3W7wTWrwNuysyT+9r/6aA1XB9O1Q+/gCor8RfgY5n50c56WwLPBzYDjszM97flXtNGaOiz5EzqWWAvaoKxQ7NTQiJqQuUfAE8CHg98iuodesCk7/g00O1Q0H4+gDo2JwKHZOalUWXcvgMsQ/UW/SF1bF5MTY79vrHeW6PTRn/8DDg/M7ePNo9Ie+2R1OSw1wMvznmjrAfPcT4/T7B2zzmU6mwziypjdGZmvqazzsbU/Du3U40Oh3hdm74Mq4eM9eC1sBevMVpdfYgbsU5vg7uGVuVC1P/qBNaLA6ulkydMmNYr6lhqsqQvZaem23y26fYq9WFhRCLimTmvju5iVPi5L7Bye4h7HNWT6pNUb91vUQ8GB9J6WA+9n9e0CRQR6wJfpf7+n8jMv7UeoG+lerjvApx8T710PXdGb/BBJiL2o8K1v1J1wQfzUiyembe37zeleij+N/B76lhZYmKCDH3IfDRVbuVPmfnXzjqvocpKzKUC6191A+s+9nuqi4glstUIbz+/APg/qgfbp1pD6IOpyaz2BT6bma9s694VWHe2974zIgtouH4Qdd26iWq4PjDbCNGoerwvoe5LJw2/l8bvHj5/Lkv1Bn0PNTL04MFnnoh4IvW8cDzVUHpQZu7XXvPYTJDWcPOgzPxwRBwIvJG6vh2cmb+OiBWpya7XpSYn/SHwuc655LEZkaHGne617Vxg2cx8cvu5+5x2MtWrd53s1K7WxIuIlwAfB96fmYdExHOphtJZVMP1yzrrrg48DfhztvKGnjvTk2F1x3DvaKpn1N+yDSG5t+/Rfv63XqO6byLiacCDqeE617XWubWA/XIhSnqMcWy86I1Y1HC3Q4E/Ub1AFhhUt+3GfODQfdc+XL6fmqjiqM7yp1DDq39C9QD5OTU08R8R8XpqUqXfUsfxeI/F5GnXtCOBDTLzorYsqEnijgGeTZVm+fy9uS9p/KLqHK9E9Za+Btgj59Vx7fbcmUHdp8g2WazXtNEbCqo/DDyP6vW+GBVOfykz/9Re35HqMXobNfz3Z/3s9dQXEXtTofSqmXl9W7YE1dPt/lR990GpqW5gfUpmbtvW93wZsYh4dmZ+t30/g2q4fh9Ve3+H1nD9A6rh+qPAN6nz5YDMPLZtt2JmXt2+9xiN0NAz8AbAKtmGvEfE/akw+n+pZ7pDWo/QB1Hn1YpUmZAD2/oemxEaOjYvAs6kOhAckzWR8sHUSJH/oxoMftM6Rs2lRlrdkPMm+PXYjMjQcVkfeBjwk8yc0z7LfIBqXNuls839qNISSwLbGFZPnOH/19uogyOB32Tmu1tj2/nAGcAfqVEKJ2Xmdgvzfpo+Fut7BxYlnYveNlSIczHwi4jYKiKWWdD2QxfOnSPi8QbVI7UBVXh/q4jYheoR8htqOM8CtV670fnZi94IRcQmwMnUcbrwPgbVOwNHdI+T7rMzgV9Rk4jt0ln+s8z8NjV0dFmqtMRg8rebgEuoIYxOODqBuv+PR8Ta7dvZwBLAtW35rCxXAqdQYc9xwI6tp7wmwFjXn8w8LDP3AJ5O1Qs/JKpmJdkmUoqq875UZv65E1R7Hk2ATlB9ClVH931Uzd1LqVEir42Ih7R1P06FPCvRJsD2HjN67Zr0FyrkvGDw3NyCmjWBq4FDgFdGxJKtB/xxtBqiEXFWW9/zZYSiSqp8OSLeCnXutOezk4DToiZ/O4UK2/bNzF8A76AmJdulNdTRCaq9po3Q0DPwq6kGgx1axwIy8wZqQthB2Yk9WoB9HdVLcUeD6onTOTYrAktRNduPoyaJJTPfCXyMKvWxZ0Q8KjNvb+fZP2gTkXrejFbnuGxHZQMvpJ6RAT5HfQbaMiI+ExEPbuHoVtRxOtugeuJExHuBM1ujzcDtVOmPU9qz2Reo47QDcDT1efVVEXH6WO/puTN9+WGXfwsN1qd6sH2W+nBzMfAJ4HVRxfnv8T06F843UT0Tnjxxez39ZE0e9jXqoe1IahKRY7q9pednuHVFxyl6AAAgAElEQVR8fsdT907rqbMlNQnZ8lTPXIZuVGNt1z0mu1LnzY8W9phqbC3kvBLYnJr0bZeI2A3uCg6gHuoeAqzQtlmCqh12RmauNOhNpYkx9OH0jKiRI1+hZpPfq61zW1TJAoArqJIt57TXfHCbAEPXpFUi4vER8fTB65n5O+AZVJBzcERsFlUj8cVU2PPY7vt5LZs4LXx7ArBVZn6amkR5Teo82QfYKWqUHK2X4lupntW3eVxGr12TPkn1rF4WuHAosH46NepqOLA+npp87JxednzquxD4EfDGwXMAQGb+JDO/AjyROl4ndBquF6dGkCxDTd5HZzvPnRHq3G+2pD5/Hg7skJk/6qxzPdUI916qIeE9wJ3A/3Z6YBtUT5DW2/0yKqi+PjNvySpFORPuFlhvAuwbVcKA9lp2/9XoRMTm1DlzMDW64AcA7Tr2dirL+W+q5+63qFzngJxXksVG6xFrz8P/pP7uxw9ygMz8O1Vyag41MemN1EiEuVmj4L4K/BR4aev8JgFV5mLa6zwoPITqmXMC8O7MvL2ddEdSF7iIiBMy85ru9kMfbnehbmavzc7sphqfmDfM+rPAplRL9WIRsUzWcLj5PqSNcYyOpC6kX5+E3Z/ysmq6voH6EPp64EMR8ZKsob5jlsIZ45gcBrzO82Z82t91UPPzVmoo3MeA10fEbZl5dHvtD1RL9jsiYi2ql8jbqCH03ffyAXuEhv6/XwF4F9VIcyn18HYk8M6I+Edm7tV67c6karf9Ddg+M6/tafentKFjszU1qeWjgOsj4hfAKzPz+sy8LCKeAXyXGuHzM+CpwOGZ+cOedn/KG+NesjhVEuf7EfEWajKy7alGg89Qoc6tEXFKZv4+naxvQrXz546I+BwQ1L3nwoh4ajtvbm0NPz+gnhUyIk7NzL9GxAGDnm7ed0an/S1/0nnu3TUiyLvX0n8AsApVN3QQNjyIKgl2pD0QJ15USZzdgaOoQGdQe3djqsHgl8AcKqyeQTVofyHbnCRgA/YEW5IqmbcmLTtpI0nuHNyXMvOdrePO26hGu8t629sproXMs6m5kc4EThw8F7fXFsvMv0TEnlSv3Y2ohtI/Z+Z32no27kyA9rn/OOBmKjtbPCJ2zBrNM8jP1qTuN7+Hu0odrUKN8Nk2M38++XuuRVZm+lXPxJtQ4c33gV0Hn1cH/1ITxt1OtdSt0NkuOt/vQrV0v7bv32eqfA39fYPqRfUaqgXuVurD6LLD687nPXZpx/E1ff9u/6lf9/R3bq8tRQ2P+zsVkN6vLZ+xgGPieTP647Q9NST789QEL9e14/LmzjpbtNeuBy4Hdu97v6fLF9UT96XAqVR918HyR7Vz5852nTuYeti+ZejY3eN56Ne4j83WVEmc/ahyOXtT9Se/CazUWe+RVCh6KrCTx2ZCj8line/f0v5dnarXujrV2LMrMKu9tnM7ZnOpBqEZk73P0/Gr89w8s51Hf6KG/i7TWWcJqqfvP6nGbY/N5BybtYBzgd8Bu3WWD+pVz2nnyv7tmeD1w8fVrwk7Ng8DrgS2oRrhHgV8mWqgntvOow3aug8Ant73Pk+3L2BDKiOYC7y4szy61zDgWX3v63T4okaH/p5q3LmndR5wD8sXm4h9mu5fQ89pj6Ya4OZSDZ+zOq9t3z7j7EB19NgOuApYz2Pk1/BX7zuwqHxRtQyvaifVMZ3li7V/gwoM5lLDS5fg7oHbmzFwG/Ux6f59N2wP0E/tLDubCqz36N6Q2gP5o8Z4D0PR0R6TDajGm+OpIT1rtOVLU6MTrmqvjRlYt2W7Uo0HHpPRHqdnUr1096RmLQf4r/Zh9I/cPfRctX09trPMh4SJPT4PbsdiLtVjarm2fBD0rNwe3n5MNThcTGtE7a7n14Qcm3WoHlR7tp9Xp0K1rwJ/pSaE6QbWiw89hHvujP6YdO87J1A9dp7UWbZxO0bP7Cx7HdXrfa/BvcmvyT1eLDiwvpxOI49foz8G7fuHU7X0oUp+jBVYb0s1xv2LKuNmw/XkHq8l29/9B1Qt18vafX9DYDWqo8GxY2zn/Wa0x6F73iwB3H/o9Q2BC9pz2ebd7YY/43hsJvxYrdyuY8e2n2cOvf4EanTcin3v63T7aveTc9rz8s3ts84nmNeZYAWqY9vcds+5CXhX3/vt16L5Na1rVrchPIMSE3+hhiVcStXS23owRKT9m8CbgE8D12TmrW3ZoNbuUdRD9/H9/DZTT+fvuz3Vc+3BVJ3QwesbUw/dB1C1KVeNiJdQda1XH3qPQXmWnT1G913n77kD8EXqhrQBVcbgkxGxYWb+iwqh/x/1YHdMRMzOoVIgrVbvEcAbPCYj92QqvPn/7J13uFbF1cV/CwRsiL2X2I0lKoklasSYqLHG3hW7JFaMMbbYULCjYq9RsfeoGDWaWGKJveaLJcbegl1BRNb3x57DPRwv1bfAfWc9z3l472nMe+fOzJ619177WtsfpjnsJaI/AP6YxgS2X0vH/0EuAtMIOHRaDyXmqoWA1dKlzun6u7Yvtf1jIuptTdtnwOjUxZwiXyPou4UqZwP+BpyXdCcfJYr3bE9Euf8UuFhR2RxHIaVcQKlOKP+9S1qKiDjciHD2FOhKOKKXUhRPnBnoBQy3PcBRMC6jQbCjmLXbpNt+T0TBVTWsF7Z9QROb2iFRkTPakijC10/SNLafJQic1whJkKJ44mDCQdoTWN/2yen5lt4nNgJJRmI4IVXwNZFFNdj2crbvJJw9zxEBIGMgrze1RWncbA7cCDwhabCkPun6ncCxhDPhAkkbFs9V9zi5b+oL2+8CtxJF+VZI6w0QdXuIjPlNiYzfjAYh6Yj/ieBn+gIrA2cC2xC281QOTfH9iECD3xBrTv/0fF5zMsZAEf3QMqgYcV2AUeUFJumGFZqTfyDInoKwHlV9F1GUpB/wdCbcag9JvyI2O0cClzsE+pHUxfY36fNtxIT3ClEwbqDtP5becRChm7SH7Ysa/BU6HCStTkR+HEPohb6VNkRXE2mL29r+VNJ0RDbClsAGtu+pvOd3wBu2r2vsN+j4SIb1KUT04UvpXBeHDv/GwGAi5fRPtk9sYlM7PMalvyppfUJqYjFgddtPF/qHZX3e4h1Zy7V2SHrhX7lNJ3dZghQwsIjtR9VWlfw3yenTg4i6nodwbC/nrOfaEEg6jyClf0BEtH1WGhddCQfDooQdMIKIIF0tE9XNQ6l/piLsgAFEJNVytj+t3tesdnZUpICAcwlb4B7bfy/1yTJEsMCCwBkeU8O6eD73S4NQCY4aVTo/PeGcG0jsYW5pWiNbBJK2ITSn7wE+IDIVZwRus71zumc9giNYjsgMzfuYJkBSTyJCdyFCWuIhwjG6AaHvfrjtQU1rYAtC0lWErNEGxTovaTbCGXoikXG9t9tqK5WfzTriGd9BSxVYrBDVvyYGzg8lvU+klt5n+w2NWQBmlKTr2xs86V0fSzqsbHhn1AbJGbAB8CRwVUFUQ0SzlYpabCDpcKLYwvO2r0zPdwJmBtYiUugzUV0b/IQgBG6y/VY6tx1B3hyWiOqZbH8saW/gsipRDWD7lMY1ueXwGpFWuqmkM2x/VTh3CMLnU2AawhDPqBMqa87ihDOtC/C+7Wds3y7pW+B44D5JvcqEdfGe4h2ZOKgNJC1BSBg9AFwmaTeiGNzath8DhkqaBliS2KB+mB6dixgzpwD/y0R1Y5CicWchoqTeJbKsPiuIUNsjJP0SGERskr4gE9VNRznCWtK1RObIeQT5dnn5vma1saNC0nIEWXMMQUZ/1XZJ2H5O0v7EXPZ7SVPbPr78jtwvjUMiqsfIzJHUi8iSOwoYkInq+kPSrMDqhNznWbY/l/QDIvpzX0Xh6wNtD5FkIttqxqY1uMVh+0lJhxCShzcT9sFIYv9zfEFUZ8db/ZE4m86E4+CjxAV0JoJCP5R0NeG03o0ourhnlbDORHVGe2i5yGoYHW1wPiFT8DUxsFYi9A1PsP1SirD+B+GhO8j2Zc1qb6tCUjfCS/pf25uN5Z4FbBfVZMvEUBGlIEIP9qP2ns+YeEi6lCjuskT6eQihDbah7WckrQL8DDjfqTpzui97TBsISRcAWxNG9hDbH0mamig8NhdwrO0vmtnGVkFac/oT68kMhEbbKbaPSdfXTdfnB9ay/WSz2toKSNFqNxIRU1cTjuvfAWc7pZJKmp3QDL2LqElhoiDpLsDOtl9L9+VNUI1RddakczMTpM3eBJEw0PaX6VqRNTI60rq9qJ2M74dq9Kek7g7Zr/E9V/RLF2Ah2/9uQHNbGpI2IzLb1nJIf4ztvuWJ/dBZtv/UoOZljAeS5ib2pPMR69KZ6Xy2o+sESRsRGvs/JjTbbynNXXMRNtpaRMTo0+mZ+W2/0bxWd0y0ZwO0c095z9+dcIIuTdTled72felaHjMNhKRTiMKJP7b9msbMhD+W2JcuREh/3NHEpmZMIWipyGoASUsSsh0nACeWNjunEqTOR5L6235f0qpEUZjOTWtwi2AsG/5ORBTbApLmdOiKl59ZBNhP0jm2Xyw/XyxM6VwmqmuAUh/9F1gjRScOZEyiujvhOf2ORlg2FhqDkmF2MKHxfjFwi6TngVkJsu3QgqjOZFt9kbJ4ziOip+8AegA7AkdJmtH2AbbvSFE6pwCPJ6J0aO6X+iD97a8t6WVgB4Kw/lOJqO5k+wNJfySInKWIbISfAkcXRHV6V+6jGqJMNCv0QHsQxWLvoK249ZFEVtvFtoclorpTad3PRHWNIWlFYA5JD9j+RFJvYFlJR3s8mYWlCOtvCJs6Ewj1x2LE+v8cfPf3LWll4N+2n5K0rkuZixm1waQ6dxLeI4rCT184r/OYqTvWAzYnCsINTec6JRP53UTC9Sbkpp4GKIjqbEfXBpKOIbJ2nxofYV1aV5zG1RXtvC+PmQahNAZuBzYEzpe0k+230/VpCQm9wYQm/yvNa23GlIQOLWIuad52Ti9ARLbdafvLlKKA7QOAq4gK8rOnc+8Dc9m+pEFNblmUvKOrSlo6nRtGaIb1BDZK0XCk+7oAaxORcS3ndKk3UkT6GCgZYtcSpOcjRPG39R3SBd2ATYAtgL+Xo6ozGocSYTPU9uaETuiiRNHL1QkNt9NL92cDu05QaLXuSBRSPMX2P23fDRxCkNf7S9odwPZfCA3E7Wz/L/dLfZGyp2YhSIH1gV8nYxoiihoism174BtCWmJ/J4339ubIjEmDpOkUxZFHE82SriF+/xcTm9AniIi3AencQGAXhVxLdobWH2sShUa3VhTnvQR4CfhsQh4uiIXSz7m/6otXiECb3RVSOUWmIZJmIlKxe6c90NB0Ps9pNUJy7qyfHNKjknPnaEXdg/HC9ijbL5WI6ly8t86w3YcIZJsOOE7SQhWydBhhB0zTzrPZXvuekLQYEZF7v6SlnWq3jOuZ6u+9OoflMdM4FH1h+16iwOJiwG2SfibpZ8ReaEPgyYKoVi6mmDEB6LB/JJIGANcqiryV0Z1YiLoDpMmwS7p2NKEnumF6R2eiKnMeUA2ApHkIDdGTS4T1ycB1RCGYAyUtI2kpgng7AbjS40hxzJg0lJwH60rqJ+lUSUumyJAXgD6AgNeJaKvViUjes4EzbX/Hw53RHNg+kkhdXBpYz/ZAyHNag9CVKMDznu0vEnmNQ+v9EuAFYIMS4Xab7asg90+tUd7ESJotOaN/CCwPPA6cAWwpafqS0T3K9lW2VwE2tX1Ber5T3pzWFEcBN0jaFUDSkcCKBKH2Y6ImwidEBPyPgEOBKwkb4LcKeaOMOsKhZ3w3cCpwOvAH2+dO6DgoRx5KWl8h65JRP/yFqCOyH/CLFKXotCfaCFgX+I+j7kuuiVB7fC/nDoy5ZuW+qS9KgWuHEXNcT6CfpMWTs2F64OcER/Bm81raceEoBr874Wh7SNIyE0JYV96Rx0kTUexbbPcnaiZ8A9wH/JUI0Blo+8/F/dmZkDEh6LCa1YoiiZ1tPySph9sqki4CPEtsevq4lC4qaVmiovxeBWGQ0VhI2pIodnkPUazvhbSpOZ7YuEJ4tj8jisaMjnLLi1RtIWk7oi9eA35ApMEfC1zqKDqyKXAmEYU4A2lcua2gRU6/ajLGNi7yeGkcJN0FzAmsUhDWbpObuAxYGejprB9eN1SIss2IDKqLieKJXyoK+N1AEKN9gWttD5O0MbA4oRn6efVdGbWBQg90ICEhtQMwGxEVemqp3+Ygst8WIIr8jgAuJeojLJEzeeqHYs5KNsHlxO/+SOAc25+Nb62vjL99CLJ7bdt/bUT7Ww1F+rykHxIOBgFDgKcIEm5r4DjbA5rYzA4PSbcQgQJTE86dkybi2TGcO8DDzrV36gqVZCckDSTqIwwl6lvNBKwKDLJ9XPNa2TFRsYvXIRzYixN28/9p4jWsZ7E9dFz3Z0w4JM0wIWt9unf0PZJmJGrCCfjE9iPVezIyxocOG7ll+9FEVK8HPCqpZ5rsXiF0D3sDRyi0QUmROSsQkdRvNa3hLYL20g3TQnMt0Te/AvpL+qHtj2zvQUQqbEekZW9QIqpzlFsNIalTivTcGjgQ+AWhM/UsoanbJ6U23khEuf2S0HLdJBPV9cFYxst45++xjYs8XhqKO4F5ifVmupJBPh2RTvoMQf5k1AmlDczOhAPuVeADp5oVtj8jtCqfIkjToyQdRBRhlEs6o3ns1B623yUiQG8kyNATga9TJGgRqfM+cDgh07Z76rvfAstloro+KNadRFSLmKt2JyKljgH2VJvMQbsSEu0Q1acS/ZeJ6johEdWy/S+CKHiakM07EVgE+F1BVOcMntqjyKAiJPOmJtb3TskpOt7feTtj5lbCyZBRR5SjeG33BU4m1pvViOyrXxVEdR43tUP6ey/s4rWICHYBMwIPSFpqfBHWlTGzN3C9Qu4o43tC0qFE3aN501o/zr/9sj1g+xPbd9r+SyaqMyYVHU7rN01mo0obyk8Jj+h5RGTuM8BlROTOwcAvFUWWRhFau/1sP9DwhrcYSovKUkQhsffSxlS2b5S0DRFF9a2igM8ztv9efU+6P0963xPlhT4tNCOJMfJP2++k29aWdAcRXS1JFzqK8vyvnXflPqkRKkbYvMS8/WFBtE3sO9LP441SyKgZziKiP3sDsycSdBaCRFgf2Me5IFzdIekXxObzGOAit2VbdQU62f40RbBdRxS2+gQ4uHCKZtQXjqLWexPFFLclZIuK9aiYr54hbLq507UPmtXejo7KurMOEVV4q+2LgIskDaHNFjivNJ6WBb6w/Wo7pNtpwJ7pHRl1RLKnO9t+W1HkdzpgeuBTtxVXzqRBDVH8vbfj3NmSWHdGSbrAUaB0vFlv2bnTeBSkqEMe5xBFLZ7tiYyeD2DMKOCM74/S3/v2RMbb2UQRvn8StsA/JK1m+/n29i7tjJnTgd2yE7tmmJ3Qnz5N0v623xrf2jGuoI685mRMLDqMZ1DScpIWTQuMJe0kaVvb/wB+DcwMXCbpR2mDcwwRSfUtkVI6E0Ea5GiDOkHS8qXPkrQCUam8r1KEe4mwvolIwdqIKEK2XHvvzFFutUFpoV9f0nnEJvQb4N/p/LTpvnWBe4nshD0VKT7tviujNij1zXaEpvvTwIuSti4idcaFiiG3ZxGlUNdGZwCjnQLDCYN7CLABUdDvH0SU27EFcTO2yMSMmmFN4EVCPqog1voDNxP1LbayPdz2hkQk1ZouZe80q9GtBNvvEUEE1wN7SPpNOl/MV7MRZHZBtuUxUyeU1oydCNm8OQg7ubi+HiHX1o8o4regokjm3UT0bvkdZaL6wgZ+jQ6DYg4q/dt9fM+UIqxH2v7U9tslojoHFdQQ7Th3jgamsX2R7XWIsXIsMa/1KN27rKSF23lHMWZ+k5073w8Tu357zAjrA4jAqS0IDeuFMlFde0iak5CWOp8IEjjT9r7ArsA7RIT1Eq5EWI9lzOxu++LGf4uOhcK+sr0/kZG4AnCmJjDCuvqejIxJhu0p/iCI6BOI1N4fECT0KGKRh0gnWSVdf4aQLij0ursD3YBpS+/r1Ozv1NEOYJvUJztUzg8mUuT6AXMU/ZX+nYMgF0YRG6CZmv09OvJByH58S6TCf5Z+7+eWrk9d+vzXdL1ns9vdUY9iHKTPawCfp3nuD8AthGTRgcDME/iOvVKf7djs79ZKB1E7AaIwz49TP2wNrFa6J6859e+HU4DHgF5EEeWngHcJYvRV4CFgoXaeU6Pb2upHWvuvS/NVfyIzYS2iwvzHwKLNbmMrHIQc22eEjvuspfNdSp9vS/30EuFE6Fd5x0HJrti12d9nSj2IYqMbAjOmn3sTEbc9mt22fHynr3ZKc9R5hC57+doQ4Otkty0IbEJE665TuW+fNGZ2a/b3mZKPZG8tXvp5V2DbiXi+c+nzwDTP5T6pTd+o8vPcwDBgj/RzeY3ZOf3u3wGWKp6v7G/ymKlDHwFTpc/TAecSNaxuAOZK58e5d6n00YrAnM3+XvmY8o6mN6BmXwS2IjR13wdGAjsCXSv3FIT108Cy5UFGG0GaN6b16Z8lieic4XyXsL4oLUT9yhMZMD9BJBwA/LbZ36EjH0TE1C3A74lU0YWBK4kotpNK95UJ6183u92tcCQj7gAiYqBL0Q9pM/RN6rPvENZjMeR2afb3acVjXAbd+Iy9fNSsDzZI6/9HwMuEDmjhIO1DyH7M3+x25mN0f80BXJPmrWHJTrgT+FGz29YKR9qongn8vb0NJmMSOYcTToVtS+c6AbMSgQZ7Nfv7TMkHkW3wVZqn9kn2cp+J2a/kvU1D+ik7dyaTgyDXjiEc0osQnMAoYO+JfE+57zZv9vfqaAewDhFAMDXhuDlzLL/7R1L/jSJk9Mr8zf5pL5SJ6vr00c5EBuKLBMc2iiCs50nX293DVPagBxD14JZv9vfJx5R3TPGa1SWNsGsk/RTYl9iMvmJ7hNqK84xyFFzcAbiEIOJ2AJ5M113+N6O2sP2ipMMI8vMSSSNsX5Ou7ZqyRA4Duko6g5gQi8J+g520Kcem85Yx6ZC0OZFt0Bm4x5Em+oWkPxJRIHtKwvbvbQ+XNI3tYbZvSc9n3cM6QdIGwDnA28CVtr9JY2C4pD7ptv6EFuKfnKpfj0MrNKfG1QgTMxeNa3zksdMY2L5N0sdEJtaXtu8FSJqUM9KWxZMxGcChYb0fQejsTEggXZbHS8PQlSic/F+HPMsYcKRjL2D7ddvHVtacTo404aHAVrY/anDbOxRsH5/2N6cSpM4fbJ87oc9X+mZ94OHcJ7VFSnXfgNhTXuWo5wJAstsKHeQNJB0OTAs8b/vK9HwnYm1aC9jXWfrj++Ir4A5C/uufQA/gN8AEyxClcfNN+rxael/e89QIkrYiJFZ2IrLebwI2lPSQ7WK/0wmYk3B+HkGMmaGld2xCSOrt5SwxVXMo6h2cBxxC1Hx5BTieqLczSNLett+pjol29qAnEFK7TzX8S2RM8ZiidRgrg0FERPV5hCf1CkkrpsGjkmbOw8AuRLTi4k1odktBgeLvbFpCq/V/hH74FsV9tncl+m4vYlN6NxHVc5NLRZQyUV1bKKqW/5yIjFqVNCeksfUqEZlwA7CLpIEAtoeV35GNtrricaKg4opEdgK2nQwDE9FVFwAnAXtJ6laZF/cma4XWDO1pr1W1RCflHRn1RUl77x+2by0R1XMA2wGHEgTDW01sZkYFiSQ9giiK/Vhea+qDscxJnYhItwWSnmj1mUWAAyWNXpeKa0U/pUCSTIp+DyQbDeBagqgeAXRSqlcxvnWnHdLgVqBn/VrcsiicO0PH5dxJn48FDisT1WnMFM6dsxrY7g6JNPc8DPyFcEZ/AbzoCazXUhk3+wK3A8und+d16HsizV8/JPaY19r+hCis+BlwcNq7QNSpWIOQa73Z9s3p+WLe+xLY2Pb5DWx+h0RpL6P0bxdgY0I+7xLbD9p+z/ZOwKWEc+50SXO7pGE9lmCpPhPjYM3IKGOKJasrg2F14Fe2D7T9G2Ly+4womrRyZXGax1F0cQnbVzW+5a2FZDCMkrQr8Gei0NizRIrplYrqv8W9vyHSee4jHA57uq3AVSZ46gBHoZCjiTHTA9ha0gzF2LL9Wro2BNgvRRdk1BGlBX+qtOlZhpAt2EbStqWotYKw3gu4AvjI9tcVA/sMothIJqq/JyprzrrAQEk3ERWyF5yQDUzlHQtLmqa+rc6A9p2cKarnJEJ+qr/tQel8XmsmI9h+m0iJf6HZbemoKM1Jq0paOp0bRhSF6wlsJGn64v60iV2bkNab4jM0J0eUHGwj0+dngN0J+/gYUoHrZAu0O2e1QxqcStgDf23Il+igyM6dyRft9M1QIvvwX8ANklaZkHdUxs1A4He2H6x1e1sRiuyO2wlpln87MkVl+xkiAGcocJKk/xIyVBcD19l+vnhHaczcZXtIg79Ch4Mi22OXtO8s5qaRRHZ752JektQVwPaBRN9sCFygyLIaNRaiek/nTJGM74EplqwuDYbeBFFzmKSV0rXriMXpU+BqST1TNOLmwHOSliGMiomuEpwx8UjGwelEpPT2ttcmdKpuJSRBti3utX2h7Z0JXevB6flOpckzYxIxtg2NI3J9ELGo9CUidKcvXX+NILTXzsZafVDpm86KlNGRAI500tUJTd0BwJZVwtr2DrbPLN4laSZgMaJYSZb+qAFKa85OwI2EDuLsBGnzeHIkdBvb8xUj7kCigNwc9W53R0d1XpvINX06YhN6fPFsXmsmP0xoNFzGpEPSPERW28klwvpkYp46jSDalpG0FCG3dwIhTfVss9rcUVFZK9Yh7K9pbF9kex3CiXAssIekHqV7l5W0cDvvKEiD32TS4PsjO3cmT1T+5leR9GPb5xDZOfsRNStulrRq5bn5xvKOYtzskQM+aoqVgUWJmgaFXM5U6Xf/D6IQ5g7AgwRPsJMjGyEHE9QBad+yP7GmbKm2bG4ZlFUAACAASURBVB6AJ4AfFE4eh7xul3TtaWJfuhIRVFWeG/clnDx57GR8f3gyEM6e1IOopDyMINgWaOf6lkQ0wjCiUN9XwNHNbnerHUTl8o+oFEYiJrf7CF3kTSvXcjGY2vZBudBBoe1+DLBj6fz0hFPhW0KfavqxvCsXhKtf3/yaIEL/RXitdyAVfSN0214H3khz2/iqMPdo9nfraAewAqEffgAwUzq3MKF1fPvYfueVPt6HiFjIRWNr2zebA/NO5DM9Sp/zmpOPlj7SuvI5UUxpqXRuZuB82opbfUYUSjqo9FweO/Xpj52AjwmJvLUr14Yk2/lAYMG0H/oAWKdyX1FcORcfq23fzJPGw1+ApUvnr0l7zaPSHmcp4HdpXP2u2e3uqEfFxto+2cp/AxYqnV+FkAL9gCBMp092w/DUV+0VJc/jpnZ9VC6K+If0e3+h6COibtJY15K896xLnyj9O0Pqi3cIabwu6fzP0jpzBfDD0nNdiczdvYEVy+8DliV4tzx28lGTo+kNmKRGx2DoDtxFpIdMX7lWrlL+K6KK/N+IVITifJ70Gtdfvyd09gpyp2vp2u6lTVCufl3/vtiJVICU8GgXxvZK6foMhDd0OKFj3b3ZbW6Vg0iJG0441q5IRvWoNH8tlu6ZI/Xde5QcDfloaB+9SiJy0rkhqU96pp+7pn9V/jd9LjZAea6rbb9slMbKPuX1fwKe+04f5SMfHf1o7++9NBY2TevQLZXN6RrANmmsLVc6n23p+vTRrwjHQF9g1tL5LqXPt6V57yVCk7df5R0H5fWmrn2UnTuT2UEQbcMJB8GylWsiokAfTuPir2nc9K/ct1/ek9akL8b5d07UCnk32dAFYZ3Xk8b301Tp3+7A/xGE9fZAt3R+5zQe7kzja9m0Ln0GrN9efwNLNvt75aPjHIVxOsVB0owEaXCSUwrveO6fzvaX6XOu5FtHlCQKZNuSFgceBa623Sfd08VR6XcNQjf0A+AvTrqhGbWHpF8SUbv9gSuJ6M41CB3D/wK9bf9b0ixEVMhehMf08Wa0t5WQdAzvAP4EnFiaq04lKpifSRjUHyuKwv0b6Gv7kiY1uSWR+mML2/Oln4cASwMb2n4mzWe7EI7RYePQb8tpcTVCmq8GEJueU2x/NoHPlftmRkeBn4yMlkGS9BhdEK5ks20CXEWQCEc7tETbe370GMqoHVKq+yBibdnalYJ9SSbs2/T5cKJ4+fMuFewjSNOriKJkuWDf90B7f+elsbIpYU/fCRxs+1/p+hrAXEQBuDdsP53O5/1njZD0dUeWfl6YyHC7nLCjv0nnVybkV162/b6khYjs0vmB25yk8tK4WRq4Ghho+4KGfqEOhIp91ZOQ/ZgDGGL7ldJ9RxBBay8QMkWv5THSeEjq6pD46E4UVJyBiH6/Jp3fhOAK5gFMRE6fYHtA5T257zJqjimZrJ4Z+A9wtu1D07nRg0RSL2AZJx3X0nPZuK4DKgvTNETaSFdH4YTuhBbS1sB5to9I901F6CStBOxr+93mtL5jo2RUnwz0AtZ16CAX139G6IJdb3u3dG5mIlLkgaY0ugND0ry236qcW5fY8Kxv+6HKZvRiYDPCcfDvdG4ah0ZiRh1RGjvFvxsTUe/bE/JGPYFf234qaVTuR6SX/tb2m6X37AOcks5norpGkLQFsAVhQJ9g+88T+FzVibAocPiEEt0ZGVMaJC1v+6n0WcBPiCCCkwgnT1HHpZjrdgPOJYif0wuyLaP+SBqiDwH/tb3ZWO5ZwPbr6XN5PhsdLEJkM+aCfTVCdu5MPpB0GvA4cEXpb38ZIuhjB9t/U+jwDwJWBOYmNPn3KNnR7QaxSVrS9osN/1IdEJJ2JDTDOxEE5w8I2/kvtr9I9xxBRO/+hwjmeKX9t2XUCuOaiyTNQBDW3YnsnOtsfy1pQaJOz+zAu0UgWyaoM+qNKbK4YPJ+DgPuBrZXFCChtNB0IQjQ7SXNX342Gwq1R8VQ3pgw2p4HHkgLFUTk2/3AvpLukHQooY98LHBvQVQnAzvje0KlImOlv/klgC7ARxqzCNnDhJzORikKHtsfFUS1chHSmkHSAOBaSdNVLnUnir11hygoprYiFkcT/bZhekdnIs0x900dUJmDOsMYY+hVIk3uUoKU7pWI6m6EQ2Ef4MYKUf1zYq7LRHXt0YPQnPwpYUCPF5X1am+ib57NRHVGR4WkbYAnJO0AMZ/ZfoxwkPYF9lFk7JRxKyEv0Rs4SVG0N6PGGIvN24nINlxA0pztPLMIUfBySRhzX1Psg1IfZ6J6EiFp+dJnSVoBeA7oK2l2iN9xWk9uIrRbNwL2l7Rce+/M+8/vD0mdU6DTykTEuktjaCRhB+wg6Ryi4OUSBOG2KaG/u07xrhJRreTg6ZTOZ6K6BpC0OXA2cAHwI6LWyzTAhcDWxT7I9jHAZQRvs1RzWts6qNjAy0v6taR9JS0uaZZkC69ISBydSBRd7Gr7NduP2r41E9UZjcRkTXSUjThJ3RTSH9gelaIKLyW+w1GStkr3LUgY14cBl9t+o/Etby2UJr0difSpr4gKsl8QsgZnEvpgfQjibR7gYCLK92BHteYcdVADSFo4LSqF42Z9SXOny48BiwGLJsOsC4Ajje5NYGrCCTQG8kJUU9wMHGj7S0k9SuefJAztrSR1BXBKYQRmJMjpt9P5b4txkvum9ijNZ+sC50g6T9LOaX56DjiOmNs+AdaVtBExr50JnOGKNIvtvwE/y0R1bZCIAwGk3+lWxPqyo6Slx/dsJaL6dKIITO6bjI6MZ4BrgQsKwhrA9vZE5PRhwN6S5izZYN2AF4kCfjfZ/rjBbW4JlOajVYv5K+1v7iEydzZSZO2Q7usCrE0Ui5uq8S3u+MjOnckaP0l7llVs3y9pQ2A3SdM6JFh2IvTeFwHusL2kQx7nLmI+G1F9Ybanvz8kTV35eUHCgXOK7ROA+Yh6PIOJvjgD2EKReY3tI4E1bd/S0Ia3IEprzk5E3YOLiQyrx4EjJC1t+1PaCOvjCOdCl3belcdMRv3hyUA4u72DMYXaNyUMgbeJgbVX6dq2xAL0DWEo/IeISDi0vXflo279tWT63R8JTFf83gmP9ihC/2t0XxDaVTOXns9FFb5/H8xBeKcvTT/vkn73m6eflyciQ58H5io9143Qsf4nMHezv0crHMB6RIRuT1JBOIIU+JbINpg9nZsa2I0oePGzZre7VQ5C5mMYkXXwPvAhIf/RKV3fALgunf+QKNSzR+n54r4JLvaXj3H2x/gK9fQmnD1XAUuM7x20FbrM1crz0RIHsDBRrHcksFXl2kXJVjiBCCaYikjLfrhYi9J92ZauT9/MQ1ux66VL568hgj+OApYhog5/RxAIv2t2uzvqkfYzVxNBAjtUrhVjpR8wZ+n8/AQZdwCRRdX079HRjmSXjS58SASrvZRstZ2AadL5WUiFrtPP0wE7EBzCL5r9PTraQZCZfwBmLJ1bOM1bi6Sx8W4aO9MDP0528/vEPnX6yvsyH1D/PtsgzW8HE6T0IkQU/PC011kk3ded4Ha+AhZvdrvz0ZpH0xsw3gbGAvMJkUayDUGovU3oUxb3rJAmvMsJwmed0rU86dWnX1T5eR2iMux3DIG0ARoJLD8h78rHJPdJoZk7Cngw/c73IlX6Tff0IaKo3yZkCzYlIkWGAfs1+zt01IOQkyiTZasmQ+0xUsVyIn2xGCuPpPns0mQkHNLs79AqR+qre4Df0ybPMjAZ2zfSRkTPQBSxmgOYofR8XnNq2x/lcfMrQoPyJiISZGGgS7q2M22E9ViN6jQnZqI6Hx3+IAIGivlqmWQnv0fUFNmicu85RMbIf4C/EYXhDmr2d2iVA9iSIKFvJuqFkNaX85NNNyrZ2G+V+yXbz3Xrj+zcmcwOomDlDYxJWHcjMhM/BHYFpi7/7omAkN+msfWHZn+HjnYQDoNbiYj1vUiEdVp7CsLzeOBeSsFQhL77F6kvl250u1v1SP3Shch6vwPoUbl+TOqT35bOzUDFaZePfDTymKwLLCqqKV9CFFE8KaVdvUoY292Bi20fMo7ns5ZOnSFpTdv3KipiX0sU77s76eraITexBOFkOM72CVnuo76QdA1RdOyfhPPgS41ZdGcr4DfAakRGwpvA+bZPSs/n/qkRknbhl7ZfTj/vBIywfaWiQvkVhMG2g+1nk4bbWgRROjPwMnCL7YvS83lOqyMkbQ0sSOjr9XfIfpBSen9PbIYeJIieUeVxZbcVYmzaF+jASGPnLOAfBDmwJOHIORW40FHMtzdwHpGBdaTtFyrv6ENEj+zqilxLRkZHhaRdgcMJ+3kUsAaxad3Z9uDSfbsRjtRuwJDiWp7Xaof2fpel9WNTQmriTkIi71/p+hoEUfclodP7dDqf7YEaItnHhX7xMkQgVH9gJmB729eV7j2HCKb6AHidiE482vaJjW956yDxAGcSwTZ9bJ+vqBnyGDFGDgKudBSEW5II+OhB8AinpXfkcVNDJHmIiwmH24HAVbb/V7p+M7GfWdP2SEmz0RaM87rth5rQ7JaGpAeBYbbXSj93cZKelPQXIginJ+Hs/rb0XB47GQ3HZKt3lgoo9AIeSET1EkTl8suIiKprgYMkjbT9x/TMGIMoD6j6IhE7VyqKKj4IDAX2BO4uT24Jw4lIUvKmp7ao6LBOR0SC/JmIQjxH0u7JcOuc+uVqSTcSRcm+AL4qbYryQlQjSJqZyAbZXNIvgJ8QBt1e6ZZHic3O5cDlSR/xOds3S7qHiFTobPur9L7cNzWEpEOA+23/I/3cg3Dk/Jpw4AxN57vY/ljS8enR3sBNkjZxqZhV+d+M2kLSigRpcAxwge2Pktbhp8Q8dhUw3PalyXa4gCji80LlVQ8RBN2ljWt9RkbzIGkVQpv9SOAK2+8pir7uA1wiaZRD0xWHdvuFJVshrzs1RslWWwoYavu9kqPzxqSXfBXwraSjbT9j++/V96T7c7/UEKlvXHHuPEs4d66U1K1w4Nj+jaQnaHPu7JmdO/WH7fcVhZEBzpVEIqxXIAjrEwEkXWH7xWTnjbB9fzqf57MaQVGQ0ra/kbQH0JWof/CtpKuS3Swiqv0nQC9J/yUKKS5MiajO/VIfVPiBwik6NfAxsJik+YE3Ux9O5dCDfxFYlpBn+bz8vtxHGU3B2EKuG33QTroUEeG2PqHb+ggRhThLutaLkAd5Eziz2e1vtQOYlUghORiYNZ0rJCjOoU07rBuwB5FCv3qz293RjvK4ARYnjIUuqX/2I5wEl5NS40r3dh3Xu/JRs/7ZitjsvE84EXas/u6JQkmvAk8TBkKn0jWV/81HTfpEhD7bUKJYT/naCrSl+JZTradK/85ApP6OANZr9nfpyEdlHPQhDOhFS+duBN4gyUsVa076/MN23pf1w/PRcgfhXPsI+FHl/DLAfYQkyKaVa3m9qW0fLF/6rLTOFDIS35GNIOpUjCQyS5drdvtb6Uj22BeENvic6dzP03rzDbBtO890Ln3OMmCN6ac5iLoho0j1QtJ+89m03xwtCVJ6Js9r9emLrQgH272pP4YSxRVnTtdnIuSlhhGczReU6orlo279UuYHfgpsRBtfs0baxwwEupXu60JwOH8jpEXzmMlH049OTAaoeH4WldQ9nXvN9u3AQsDcwHW2h6bHZiFSgF8FnmhKw1sUKVVxNyIy/263pftcR2hT7Qw8JOkKIpL0NGCQk2c7ozaojJutCN2w0wFSn1xKOBO2AM6X1EVSp3Tv7SpVmE/P5EiQGiFFE2D7GsKAm41wrr1ie0Tqh07pnoeICOtpiBTg5Yr3FH2S+6Z2cOAVYCHbj0v6eYp8x/ZjhCbytcDxKVoER+riVLY/IyJ8e9ke0qzv0FEh6WRJx0FEcKit+viihDZ1IadzOxGps4HtpyT9Ejg0RYzgUqZI8W5/N9snI6MVMDux6XwTQFJXAIfE0WBic3p9iiYlXcvrTY2QIqWfSJlTxfrzGLHW9wX2SdIGZdxKFI7rDZykkKHKaAwWJUicu22/B2D7b0RmwkNENsKmlWdyRm+DYft9ghC9gYiw3sP214Qj6FNC632hyjN5XqsxJG1BBES9Qkiy7Qg8TmTAbydpVtsfE0UVTwHOBXrb7p+eV1Ma3sFR4Qe2J4q/rgvMl255FDiWyLC6QNKaCtnKPkQfXm37izxmMiYHNF0GpB3C7Uhi8Tme0GeDKHA1LzBtuq8bQV5fTehSfl59b0Z9kH73mwLb0tY/ANh+R9LJRLTOQcDyxAK2t+2L0/M51adGKI2b3oQntD/wTyfdKdufSLos3T6AMNyeJoosnWX7i8a3uuOjmnZFREidR2iEXyFpK9v/lNS5dO/DRL/cRkTIP9mk5ndoSNrCbbqTwyTNQhRTfFpSX9v32X5a0gAiAm50mmkirLvY/pTorzyf1RCpL+YDtpD0me0TirkMeA7YX9KywB8JTfENHDrv0xCp2D0JJ/bbxTtz32S0GlTR0SckwQ4jbIA+yVla6FO+TAR7fECyrzNqjmcI5+cFaS25HMD29pK+JvoGSWcV5CgRIfoiIWU0PJE9GY3Bd5w7tkfYfk7SYOBnhHNnd6daIpnQaQ78XUmQUbYvTKTbZrZfbGb7OjLS3qY7bQ6DAW6TLPwz4SwYQMjqXGv7A0Jap/yObD/XCaU96HaELN5RwJ+LQA7bwySdQUi0HEsEtX1DOHr62T4vPZ8ljTKajqaT1e0QbicCD9ouE6GvALcT0aErEdVndyLSSD5Pz+cBVQdUf68O7eO+ROXl/YAtJb1U9IPtj4A7Jd0FdCbS475O78oLU42h0HI9jtjwnFcyFhYgCvv9T9LZxGb0MILUOdj2Gem+PG5qiApRvTowne0D089bEMbatZK2tv1IKapgHtv/kLREihjJqDEkrQVcI2l92zvZHgEMVei33g70l3SY7b/bfkZS//TouQoN13NK5CmQydBawvZQSYcBnwEDUiT7ceny3wlS7Z+EpEFP2++mSOqiYOzBtt9u59UZGR0alXW8WyJBuxIyYO8QWVZbS/rA9hFO+pREdsJ/gX1tv9uMtnd0OHRzDyOCOy6RNMKRcYXtXZMJcBjQNZEH7wO/AOYBBieSJ9tqdUJ27kzZKBHW3xIcwbRpf3MF5H1nvWDbkoYRzp3Xir1nuvaZpEOJLNHfA50UGuJDK+/I/VJHKPSoDySi3E+3PTyd/zmRUfWK7YHJufBTYo16y5H5k8dOxmSDppPVAImAbo9wmw/43CHSfySxid2WML7/aHtQ8Y5sxNUeFeJtcWBGIkr0GeAIwlg7AHhD0sW2h6V7i+I8IyWNKr0rT3q1xwLEAnOz7a8URcdOJTahs0k6FzjV9pVKFZltvwV5IaoHKs63Y4HXJX1k+1Hb1ylkCQ4lilxuavtJSZsTUVerA8+n53Pf1B7PEX1ySJradgawfZ+kXxER1sdVCOvjCKPuLEkPAC/ktab2KNYM269IOpPYePaT9LntM2z/Nznd9gV+AKyYIqqXItagY23/Kb0rkzoZLYOKnbYxEcixGPClpEHATQTxNjewr6IQ2QMEGbor0LcgqvPYqR2SI7qwe6cF/kHU4LksRYBeB6MJ6xFE4eUtgNeBFYGjC6I63Zf7pUbIzp2OhURY70/sUTtVrmU7un7oRAQPLFDYcCVb7j+S/kUULD+NyLgeOq6XZdQc0xIcwcO2h0takJAKXQnoQWSX/sL2k4Sk7mjkPWjG5ARNDvaPQtPtGOCXtl9XaOmeQgyo7sBlhMSBiDTfzplwaxwk7UiQPLMRWm4vETpH7xDE2y6E9t5owjqj9mhvIynpN4QhsAOx+dyFKAJ3CfBDYDMiCvHZ8b0rozaQtAmhR3kocKPt1yvXtyQcc4sREb3rASfZPrLRbW01SJqNIAWOAC6zvVPp2qqEvvjjwOEOnUok9QTmsH1H41vcWkhjY11C5mP5dPow2wPS9Y2B7YA1CUL7KeAm2+em69keyGhJJDvtfKIQ3LeEdF4vQk/0QEJXd0eipsgPiOKkF9o+LT2fbYI6QKEFfjhBBowiClsJ2Nn24NJ9uxGZb92AIcW13C+1xbicO0S9ipsI6clBwFqE5FfVuXNO9V0ZzUeKqv5q/HdmTAzG9Xee9jvXA0fZ7lc6Pz1wFrEefWT7gYY0NmM0UsDnNYCB/yMkjL4h7IHuwMnA9bYPyLZzxuSMyYWs3ovQqv4d4e3ZM/17IVGZeWVgDdtPV57LhkIdUDHm1iYWm0EEiTM7sAcRpbM3cD+hL74lcAix+cnGQh2RSLXhtp9IPw8B1iE0Dp8Fdi15UZ8ANrd9b9Ma3CJIkVTTE/ptbxHRN1+UrnVKGQekSN4tCB3xq92mD5YNhjpD0uzAbxk3Yf0oEdl2T+XZ3D91QiKqrwSOJkjoToQTtBdRm6K8EVqU0Nob4ZCeyn2T0bKQtCRR7+BS4GTbX6Y15/eEfXa67b6Fbaco6PdNHjv1haRVgLuI/c0Vtt9LKdj7ABsShcaurDzTuWQn5H6pE7Jzp+Mi903tUOEDViHGwtSE7TxSUfz1aIIPOJ2oz/MtsDqRMb9dYUfn+azxUBT23ZpQUnjM9uHp/AxEtPvVtk9oYhMzMsaLhpLVY1tAUnrVA0Qk6DvERnV3h6zBIgThtnER6ZbRGEiaC1iGKKh4YIl4m4sw6BYhIkE+Joy+bYHlqlG8GbVBkpCYh0gTvYuIOCwI6xWAD4oo3pQivwuhK76J7Rea0+rWgqQZiQiqk2wfPwH3T+ekz58NudpjHGvOHITOcXuE9SrAg4TzZx1nHeS6I81XQ4jiLtu6TQrsh4QTdHtiDTo1nR9DZzRvTjNaCdW/d0nrANcRa33VwXYCEQiygu2nxveujNpBIQc2kAi2ebZ0fhngTCIQZxvbN5au5f6oM7JzJyNj4iBpJ0JiUkQw4TPATg65vPmB3kTG6FdEJG9X4Hi31R3JaCAqToZuhCJBYVdPD2xMzHV72B7SvJZmZIwfncZ/S21QGTjLS9pS0iqS5rM9EliNSLnayPZ2iaieFvgV8C5R0CKjQUiEzdsEKf1NQVQDOLTa+hJRpAenCfBAYO1MVNcPtkfZfpNIW1wLOCKR1Nh+rERUL0Ckyg8Azs1EdUPRiSgsOkNxIjkZis+91Fa9nBJRnTXda4zKmjOnpIUldUobzfeJCJBjgB0l/al4zvZDwM+BczJRXR8kYqD43I2ohbAI8GZa+6cCcFQuP52Ioj5Z0sHp/Kj0r8v/ZmS0Akrz2prp1HSEPmWndL5zad25hCAQ1k7X1N67MuqC2Qk7+U0ASV0BbD8HDCbqIVyvkAohXcv9UWNU/+aB+YBZgQcLG8yBE4liZPtIWr60vrxfIqqzrZbR4VGx0X4IHEzYy2sRAWzdgBsk/dT2Gynz7cdENPURwBYFUV3eA2U0BkUQR/r8dYmoXo6QQjwbODsT1RlTAho2gZSM695EIasLiOi1syWt4RDkf8z2K+m++Qgd3v7ABZlwazj+Q+hQTQfMAbF4FYtOMrb/RRAM2H7P9l/TfXlhqgGqBrakqZKhfBkxNjYEDpO0fOmenxMaVYcC/UqRiFVjPaPGSH/3w4C7ge1TtNtoYk1SF0KHf/sUiTAaeYNae5TWnO0IaY+ngUeAXRTahu8yJmF9UenZ+2yflZ7PY6fGKPXNFkR0zjdE//SSNENKL+2S7n2CSNV+G+gvacXcJxmtDklbA3+VtBFhSw8lJPRI9nSZUBsOvJ+u5bWmTihs39L89GfCUTAAwPaIYl4DXiayRu8gHA0ZdUJ27mRkTBxKY2ZZorDoi4RkxOO2byYyqb8ABkv6qUK+6AXbp9g+y/Zf0vM5C6FJqM5ViSs4FtiGyMzun85nziZjskbd/0Ar3rklgBMJUfdewP7AUsAJiWQr7luf2JweRBBup1TflVFf2H4P2JcwtjeXtFeKPCiIt6kJg26YpK7lvskLU21QMhZ+JGmWlIHQORHWVxLR0xsREdY902OvALcA+9s+KT3fKRvYtUM1KlQh/VFEvg8jUks7AUdJ2irdtyBtaXKX236j8S1vDVT651eERNHfiGiPqYB+wIEKCZaCsD4K2FnS9dX35bFTO1T6Zh3CsdZZoZ83hCigfKSk6ROBjaQeRBTcucAqtv+Z+ySjlSFpVmI9ORR4yPYHRGDHppLOUcjqFFkLqxMaov9pVns7Mir7km5p498t/fwOYQ9sIukYANvfpMyRnwD/BXazPaiBTW5JZOdORsbEQZGl+xRRKLHgBUifnybWoM8JB8/K7XE0mQ+oPSrOtQmGQwbsTEJmd1B6V3YmZEz2mKre/0GJcFuZSHm7BTjL9qfA05KGEpWyT5R0kEOX+hHgr8Ajtm9Jz+cB1WA4isH0JfptUCLlriaIuF5EVfM+tkc0r5UdGwqZj/uBCyQdZfujFGH9re2rEpFzNvClpNNtPybp+NK4y+OmhkiOguJ3uylRfKenpKeAO1JEwW2SDiLmtcGS+hFz7fTACeWI3bwRqj1K/TM3MDMhI3FUimo7G7gJ6AN0knSS7XclXUhEW2XZjzqi1DfzEvr7pwB/ckh/XEgQa9sAs0s6kJDTWRVYnhg7j6Tn87yW0ZJI685ixJpyt+3/pUvXEVlwBxDEwYvp/CbAsbbvb3hjOzgq9sDGhETbYoQ9NohYawYQBcn3TfbcA8TctyvQNzlMsz1QR7Tj3PmfpP7AQEnnAAfYHpadOxkZbbD9espMPB/4maRVHDJ5xfVnFNnyVxHcztLAe+2/LeP7QtJKQCfbD6ef9wVmtH3MBDzbKQVU/aV0LksaZUwRaEiBRUlLAQ8RWq632d5aUpdS5NS2wB+BT4Ajbd9V3ozmjWlzoSgucgawBaEd/hQR6Xaj7QHpnmxo1wCVzc9Mtj+WdCmwDqEfPiAR1l1ShE534GFgSULqYBvbHzbtC7QIFBWWBxEEwb2Ehvs8wGDbf0j3rEAUKP05UYzkOdt36NooHAAAIABJREFUpmt5TqsjJK1FREwDDLI9UFLXRFhPDdwA9CQcPQNtf6GQBil03fJ8VieU+qYroQt+XGk+60Zohm4GzEUUXOwG9Ld9bNManZExGSCNj4uIFOwvicJ9T5SuzwysQGQlzkVkWt1s++J0Pa87dYCkHQlC50aC6JyXCOi4nKjnMgrYkXBu/wB4A7jQ9mnp+bze1Akl584viBo7RVHyuYG9CefOvwiZA2hz7vRvQnMzMiY7KOTariAyrY+w/WLl+o+BxVPGb0YdoKjhtjfh/FyHCOS4nihAfuKErh95rcmYElH3yOqEN4jN6VbAspK62f66IA9sXylpFCHMf6ZCV2x0hFs2rpsL2+9L2g/4mujDx2wfUVzPG6DaoEJUb07IEgyx3VvSFUTUjlLkdBFNNQthZF8DfJ6J6vpD0hqEzvFxtk9KzpwLiIiCnSSNsn2I7ceAx4CLK8/n8VJ/dCH0wxcCusNovdCutodL2owYM/sD00s6LN1Pujcbc/VDFyLNeh4i26BIje+a7IIDCOJnNeAb4A3bd0MeOxmtherGMo2PvsCHwH7AlpJesv15uv4RcKeku4jgkM62v07vymOnDpC0JCEjNQA42faXKR3+98DxwEe2+0o6LTlN5yCKlhcF+3K/1AnJubMpbc6d0bD9jqSTgfsI587yhHNn7+zcyWglVPae0xABAl87ZA2xfZ1CuuiydM+RLtURSw6gwgmUx0wdkLIP7wVuBe4ETDhAr5kUojoFjfzX9sv1anNGRq1QN7K6GBRp4vpcodf2FWEU/FnSRhXC+upkWIyy/Va92pUxaXBIgvyBWMQOl/SG7QvzwlQ7lBaR3kTE5yBC0xDb20kaTCxOXSUdTpBrawDzAzvaHp6ez57TOiEZbL2ABxJRvQTwKGHEnQRcCxwkaaTtP6ZnxhgjebzUFu39vdseIukzQue4r6SXbV9VIay3Au4CXnbowWfUGBPQN/tJet72Falvioyr59NRfldeazJaBpWN5eLAjMBIIkvnCKJA3AHAG5IuLogFRaGrb4GRKQgkp/vWEO3MafMRmYYP2v4SRttyJ0qaBfidpMsceqHYfr/yrtwvNUJ27mRkTBwq68xmwA7AisCjku6xfSaAQ3YSYq/zraR+tp+vvi+Pmdqj6CPbj0u6n6hVJeBbtykUjHO+qvTz/sCRwMZEod+MjMkaNZUBqQyGgnj+pnR9eiLaoA/wOLBxiqjqVhgI7b0rY/KBxpQE2d/2GU1uUoeCpBWJVKtTgLOLzU/p+kXABkSq6f8BPyX0eE9odFtbAe3NQ4piiUsC9wB/B14F9rU9VFIvQrvtc+AW23s3uMkthcqasyrwI8bsm/mIVOxpifTFq9O9hSRIQexk1BgT0DfzEqmlUxPyX0XfZJIgIyNBITFxLDAbMAJ4CdiHKN53KLALIUM1mrDOqD8krWn7XoXMxLXAurbvltSZ4KtHJWf2P4ksrBPyvqZ+GI9zZxrgZGKs7E9prJRtgGLtyf2U0WpQSBueBVxJRElvQ5DWp3rMTOqtCI3quwnZyY+a0NyWQXUukrQTkZW4CrAusLXta8eyV+1s+9vK3LgPMBD4re3zG/ZFMjK+B2oWWV0ZDBsS2myLSvoI+APwQoqwPpnwCPUBrpe0RfJ+V6MPs6EwGcIhCbIvEUmyUrPb0wGxNCG3cmuZqC4iDm3vKml7YC0iEmR324PTPdnAriEqc9qihMzHF7ZfA15TpP/ODRxve2h6bBYig+RVUlpcRv1Q6p+dCQfP54Tsx16EQ7Q3ESlyOXCMQqLl2kRUdyptUvPYqTEmsG+257t9k4nqjJZFZd1Zm7Ysq8eB2YE9CIfo3kR0VDfgRKCzpAuddPcz6gdJWwNXKooqPggMBfYkCl5WnZ/Dgfch72vqidKYGZtz5zgidX5guu9i28PK/VWsPbmfMloJCmnDY4FjbJ8saS7gVOAtYP+0Jv0RwPY1irov3TNRXV9UbIGfAT1s/yn93JOYz65O911Tem5J2y+Ohag+DdjD9kWN/j4ZGZOKTrV6UWkw9AYGAx8DZwIzEZqtG0uaIaVfnUR48NYA/pojqaYsONIYN7G9XbPb0gGxLDCt7f+DiPSA0HRNPy9he7Dt3sCuJaK6Uzawa4fKAr8VQQ4cREToFpiOiA6dNt3XjSCvrwY2tH1JQxvdolDUOBhE6IivaXtmIuV3euA24Atgd6JY3wlpMztGumIeO/XBpPZNRkarorTuzJVODSYic2+wfQ6wHvAcYUdPRTh/biI2oYs0vsWtBUmzEo62Q4GHbH8A9Ac2lXSOQvO1sAdWJ7Lg/tOs9nZ0KGkTpM+Fc+cKwhF6MDFGbiGCa45M104EdlcULcvIaClUxkw3IkP39kRU/xD4NxFEsBXwNHCYQnoSANuXOsmDlN+VUTtU9qBFwM3eimKW2H4SOBoYAlwlaXNJXRTFMJ+X1CtFVleJ6j0zUZ0xpaFmZDWApF8C/Qjv3K7A/UTl69mIQfJrST0SYX0qUUTp8kxUT3mw/RnkhaoO+D9gBkmbQBBqxe9Y0myE0bBDundE8VAeQ7VFxfl2CZHme5/HlGV5BbgdOF/S6USa6QDgtTTH5fHRGKxGkAHXAK8B2B5ErEXdgP6OYpdHEMRBRuOQ+yYjYyIhaRWiyPjlRDG+L4prtt8lZD+mBw5OkdQHAmvbfrYZ7W0VJMmP3QgC9G63Fbq+jiimuDPwkKIg9sXEvmeQ7fub0d5WQHbuZGRMGJJEUfnnGR0SrHcCtyTnzcWEc+cw288QttrXxN7zO7KfOdCjPijNa9sQ9V3OIoq/PlG65zHCAXc7sUe9n+i/frbvK2WO7gOcTkRUX9jQL5KRUQN8L7K64p3rQmjo3GP7lOSde4TQNvoJIeJ+HLBhmiA/Bw61fUH1XRlTDvJCVXPcRchI7CNpJYjfcUq7Wp+I1PmgON+0VrYA0u//OOAw4ETbf03n50tz2MeEoXALUW1+deCPiYwDch81CIsCM9h+Nzl3ukAUhCFIhPUkzWT7DuDnti9rZmNbDLlvMjImHv8Brieyd+aAsJFLmVbPAf8ikW223yutTzUNQskIpAjETYko6pXL12y/Qzirfw18BCxPSB7tbbt/ej73S52QnTsZGeNGisj9g6RZ0p5yH+Afkma2/aTtO4kaL/MSdZM+SY9OC/yP2Js+14y2tyokzQccQkgXDbT9Sjq/mqQNJc2eyOsDCLnd/wB72T4y3TeVQsJyb0IyNEdUZ0yRmGTN6kqKwjK2n5N0Z/p5OsK7fSthHHwsaTBRmO94YGpJl7pUfDGTOhkZYPvVJDtxM3CBpBuITekqRETPscmoyKg/FgKGATfa/kpRIPYUIp20u6TLiI3rzoRWdWfbb0EuEtdgvAhsLmlD27c6ivZ2SevL48BvCY39j22/CVmjuoHIfZORMZGw/Z6iNshIYGtJe9k+i9CoJDmvvwKGSepKEHROz+Z1pwaozkOO2jp9gQ8JKaMtJb1UZFE59FvvlHQXUU+kc4pazPZA/VE4d9aj5NwBZHtU2p+O4dwhapDkvsno8EhjYVrCadNL0hDCuXY4IcFWYFaieN+IRGh3AeYnMhH62f6wsS1vLYzF9p0T+BvwbSKvzyYKX84G/FvSZrZfBE6SNJXtkeldndLnlyWtaztLUWVMsZhkT3+JqN4ReEbSysBjth8FfkQUgrkkRR8CvEtEWr8HFJvVjIyMCmzfBawJfEN4TC8HViUcP8dDjtJpEGYGegCrS9obeJiovnwjkSnSF1jK9ogUOVoQ1cqbn4bieiJNcX9JK0JovCcSZ0miwNJn5QcyGdow5L7JyJgEJEKtL3ADMEjSYZIWTpFS2xM1X25N608eMzVEJRhncUkrpcjEjwnJogsI22xHJY3qdG9nB0YS9lu2BxqANFb2JSJCN0/OHRe/96pzp5zJm/smo6MjzWVPEoE1PyMkcQ63fYLHLAj7BFFLZLCkE4iI3gHAvwuiOmfB1w+lNWcXSf2IiPaRhPb+JQRpvSDQh8jknQvYtfT8yNLnUaVMrExUZ0zRmOTIagBJ8xMVsA8BXikt+j2Iwoqzp/umApYGniHS4rI2ZUbGOGD7EUk/J1JJpwE+cdJHzJEgtcU4IjnPI0iBQcA7wFNEKtVXkhYhDLuZqg9l4qCxsP1yyka4CThP0pWEYf5Tguw5xFEUNqPByH2TkTHpsP1+cpSOIrRD9yHWoVmBo5yK+OZshNqiEoxzLBHFNoJwru1DyIOZIHOQdLHtYeW9TWGj5X5pDFI2Ql+gC+HcmZEodt0J6EU4d/rYHjH2t2RkdCwU5LLtLyV9TNQKGQWsJek824XcB7aHSzqeCCDYE3iTkDY8q3RPns9qjIpzdG0ig3cgUcdla0KV4CvgOtuHpPtmJtajd8b23swTZHQUaFLnHUnrEanv2wH72H65dG0+wgP0CfBXYpAdCBxo+/x0TzauMzImEnnc1BYVI2F5QmP3LeBN228qCpL0JGQKCr2waYFdCB2wzWy/0JzWZ5Qh6adExNtCRBr268B5tk9J1/PYaRJy32RkTDokzQmcCGwFnGD7iNK17LyuEdohDW4knNWPE8E3ewBzE2v//YSs4ZZEwM6FDj3kjCZC0hwEubMFUd+lcO7caHtAuievNxkdHpX5bDXgx8ADwDLAqUTgwNa2h1bHRApGHJGyFvI6UydU+qgHsDnRTwc5ae8nOZYiY6eQ2v01IeWym+0hTWl8RkaDMFFkdaE1KWl24EpCquB1YCXbH5Q1wiT1JNIW5gE+B84sNqYZGRkZkxMk9SY82Z2JaPbbgVNs/71y33yELuJJwNF5Tpu8kKIN5iL0+YYW6W/Z0G4+ct9kZEw6JM0FnEaQcHvYvjCPnfog/a6XIQoqHlgiDeYiZNkWIaTZPgbOJwosL+dcsG+yQHbuZLQ6KiToDsAxBF/TGxgKbEw44p4AtnCSbJW0DvCG7X+1966M2kDSgrZfK/3cC7gXeA24wm1FEjuXM3ZS4MdKRKZV/8IBl5HRkTFesjrptK1o+//bu/Mgy8ryjuPfp2dDQJRdRGMSiEvE4IJCoZUQJLgQUUxUxGUkKKAy7IJBREVFI4g4KCiyiCAoIMhI0ChqqeBGXMZlqELGKJYCI6KObDMw/csf77nUtZ0ZB5zpe2/391M11T3nPefU29XV9577O+95ntO7/x8IvBR4A3AMsCftcZFze49X9f64qmpzYD1gdpLF3ZgXCpIGasKF3GOBrwDvB66k1QI7lNZI6Y1JvtzttwfwVlot6w8lOXHiuTR8/P0ML3830pqbsGr00CTzBzylKaeqdgaupr3/X5Rk3oTxJ9CeHL0wybwuGN0uyVWTP1utijd3JKiqlwJn05opfq73JGhXz3gf2iKd7wNvA7ahLTI8KMlpg5nx1FdVp9Ke0HkVcHuSVNVTaf0Q9gDOoj2980f9KKr1qziZ9gTwab33f1/XNNWtNqzuak3vQ/vjuAy4hvaidzjtjtxjgA/RVhnMBb7UuwO0sg+hfjCVNEyqNYadBbwCeEOS33fbX0a7uLud9jjWl6tqU1o5o28mubzbz4sESdKk6ALrC4Cbk7xs0POZarrweT7tCaork7y4/6nRbp+v0UKG50w41uuBIeLNHU1nVfUo2lOiFwPv7CsjsQutHvLvaU+QvAd4KK2Z338lOWEgE54Gulr6OwN3JPlKVW2S5LZubAfa585n0cqzXD7h2IfQcjeSfLvb5nuOprw1WVm9Ba0R0jxaYf5D+u+4VdXjaHeBHkW7S3RfYC1Jw6qqHg98nVb644oke/dKHXXj+wBvptXef0uSz/dfGHiRIEmabFW1UZKlg57HVNUF1ifTmlvNS1+DsapaD7gcuKMbv8dFOMPLmzuarqrq0bTSEvsDnwUeSVtouCOtBv+3aE+R/oZW1vX/knyhO9bPN2tZVZ0PPA14QpJlVfV84GDguCTXdPs8hdbA9xnAi1dXj9oFoJouxv7cDkmWAAtpQfUKYKfeWPdidh2wH3AjcCawW9eUTJKG2Y3Ah2kXattX1ZyuJv9sgCQX0B6N2wL4QFU9ArjvwsALOUnSZOsF1d2KX61lXVOxw4BPAadW1ZuqapvuMeyXA7sAn0my3LBguCW5BdjLoFrT0O3ARsCraeU9rqKV+ng97TVsR2D3JDckOcOget2pqiNpT+sc0AXVvf5IzwCO6p7yJcl3aCV2rwEuqqrnrOqcvvdoulijBotVtQ2tmcgOtMflFySZ241VV2/nsbQSITsA2yT5xbqbtiTdf32vV2NdI9gNaaU9jqJ1yd6zu5CY3VeDfy4wnuS8AU5dkiRNkgllJJYA3wM2Ay7tNbZyddvo8Hel6aaqngmcDlwPLEpyVLd9PVpt/o8ned8ApzjlVdWDaBUIHpzked1Tu89I8rqqejXwbtoq97cn+WZ3zJNpTRR3pzXA/PSApi8N3Mw12alrjri4qj4LjANzq+rcJHP73vgfRqu1s75BtaRhMeEDyuyqGu+V+khye1WdBBRwIHBpVb0gyfJupfWyJOeu4lySJGkKSnJLVR0CLANeAlyb5LjeuCsQR4vXbppuknyxqp4E3N3XU2wD4AXA1sCiQc5vOkhyV1X9GnhR93nzcOC13diZXbPLE4A3V9Xbk3wzyXer6jhgY2CrgU1eGgJrtLL6jw5oNayPoTVUXAAcAewGfBzYL8lHu/28iJM0UP3hclU9D9iX1kn5NuBo4MdJ/lBVDwbeQAusv0G7k73c1zFJkqavqtoKOIW2wnr/XsDgtYGkUVJVO9LqJp9Aa7r47gFPaUqb8Bl0Ee3z5zm0XgjL+vbbn/Y7+RZwfJJvdds3T/LryZ+5NDzud1gN9wXWR9OCnaXABsBJSY5fu9OTpL9cV8pjPnAJ8G1azbaZwLuAy5Ms7QLrw7t/C4Fd/DAqSdL0NqEkyKFJ5g94SpK0xqrqb4HzgU2A03qvYd54W/eqajdaY95f0kpJzQWu7K127/bZHzge+AEtsL66b8ynejVtPaCwGqCqNqZ1j308rQ7SJd12X/QkDY3uIuFs4P1J3ltVj6PdvV5GazJ7KK0O/++7wPo44PokHxnYpCVJ0tDoAusLgJtt2CdplHRN/Z4CzEzy9W6bmc0k6GpQPwxYDJxK+z38B3DFhMD6tcAHaE1hFwxirtKwecBh9UpP5ouepAGb8NjVLOA/gb9Jsm8XVH8T+ATtkatPAg+nlTa6IsnvqmpWr6a1d7MlSRJAVW2UZOmg5yFJfwk/3wxGVW0LnEYLrPcF/ntCYL1dkh8Nan7SsFmrYbUkDdKEoPoJSX7Y1WgD+BHwVeA6Wr2w31bVQbRHe38FvBU4txdUS5IkTWTQI0l6ICYE1q+iryRI773FBaBSMzboCUjS2tIXVL8SWFhVOwHXds0q/gHYAjgnyW+7Q26irbS+GZhlUC1JklbHoFqS9EAkuQF4Ha2H0oXAXn1j6b4aVEsYVkuaYqrqr4ADaOU/buh7w38IsDEtsKaqZgLb0Zop7pjk9AFMV5IkSZI0DXSB9cG0p343HfB0pKE1c9ATkKS1paqeS3vT/wNwaZJb+4Z/TFtBfURVbQ/cCRwBHDnx8atJnrYkSZIkaQT0SnX0fX1wkj+s6fFJflJVz0ry+3U5T2mUWbNa0kjrNUSsqi2AC4BdgZ/TVksvqaqivdaNdx2ZzwG2pgXaH0jy3oFNXpIkSZI0EqrqacCWwNeS/K6q5gLbA297IOGzi6WklbMMiKSRU1VPqarXAnRB9YHAxcAxwALgUcDzq2p2mvGqmpHku8BuwJOA3XpBdVX5WihJkiRJWp1dgU8Ce1fVPNpCqOuBpWt6gm4xFWAfBGlVXFktaaR0tab3AU4GLgOuAc4GDgdOBR4DfAjYFpgLfGl1ZT68my1JkiRJWhNVdTnwL8B6wNFJTrwfx9732bOq9gC+keS2dTNTaXS5mlDSSElyL/A54CPAS7uvByU5JcmKJItoDRZ/BnwU2LWqZnTH/kkobVAtSZIkSVqdbtEUwEW0oHo5MFZVG3Xjq83XJgTV84DPAE9edzOWRpdhtaSRk2QJsBCYA6wAduqNdY0urgP2A24EzgR26wXWkiRJkiStiV7ZjiT3dt8vBF4DfAU4Hjigqh7alZ6sVZ1jQlB9MvCaJFdNyg8hjRjLgEgaSVW1DfB0YAfgFcCCJHO7sUqSqnosrUTIDsA2SX4xsAlLkiRJkkbGhJD5WbTPn59Jcm237UrgmcCbgQ/3mixW1fbA7UkWrySoPgU4IMmZk/8TSaNh5p/fRZKGT5LFwOKq+iwwDsytqnOTzO0r7fEw4FhgfYNqSZIkSdKa6guZXwW8j1YCZOO+8ed2gfXbgfGq+hTwRODDtAVViw2qpfvPldWSRl5VbQEcQ2uouAA4AtgN+DiwX5KPdvuNJRkf1DwlSZIkSaOjqp5NC6nfApyX5NZu+6wk93TfXwE8F7gBeDjwviRv7jvHUcC7gP2TnDXJP4I0cgyrJU0JXWB9NHAgsBTYADgpyfEDnZgkSZIkaeR0NahPBbYD9k5y84TxGUlWdN8fC6wP/CjJBd22MWAT4ELg00k+OJnzl0aVYbWkKaOqNgZ2BR4PLEpySbfdFdWSJEmSpDVWVXOArwM/S/Jvq9jnUUl+3n3fX596rK/p4sZJbpu0iUsjzrBa0pRmUC1JkiRJWp3+oLlv24OAS4HNgX9dycrqbYFDgNOTLJq0yUpT3NigJyBJ65JBtSRJkiRpdfpWRD+9qrbrtt0FfBF4MrBnVW3Y27+qZgG7AzsDMyd/xtLU5R+UJEmSJEmSprWq2hr4GvD5qjoyyY+SnFRVTwVOAR5eVZ8CxoFnA28F3prkBwObtDQFWQZEkiRJkiRJ015VvRg4i7ai+k1JflxVmwDvBl7d7XY7sBSYn+Q93XF/UkZE0gNjWC1JkiRJkqRpYxU1qitJquqFwAXA/wBvTHJdN74LsBVwB3Bjku932+2TJK1FhtWSJEmSJEmadqrq8cBves0T+wLrvYALgSuBtyVZuIrjXVEtrWU2WJQkSZIkSdKUVlVP6vu+ulrUPwQOq6otoDVa7ALoy4CDgD2BQ6vqiSs7p0G1tPYZVkuSJEmSJGnKqqqXAt+pqldAC5mTXEsr93EYMK+qtpxw2GeA64G5wIlVtfFkzlmarmYOegKSJEmSJEnSOrQQuAj4SFWR5DyAJC+vqmXAmwCq6oO9kiDAHGARcCZwd5LfDmDe0rRjWC1JkiRJkqQpK8miqnoTrTniOVW1PMknu7H9qgpaYD27quYDtwDPBLYGzk+yBKxRLU0Gw2pJkiRJkiRNOdVS6EoyDqwPXAPsAXysqsaTXAz3BdbLgdcDLwJ+DjyN1lxxSe98BtXSulf+nUmSJEmSJGmqqqr9gGOBxcA4sAtQwL5Jzu/b79XA02klQK7sjbmiWpo8htWSJEmSJEmakqpqZ+DzwFuAjye5uar+GZgHPA+Ym+SCCcfMSLKi+36sW5ktaRJYBkSSJEmSJElT1d8By4Ev9JonJvlyVd0KbEqrYX13kkv7jrkvnDaolibX2KAnIEmSJEmSJK0jWwAbAr8AqKrZAEl+CJwPzAIu6UqF0I1ZhkAaEMNqSZIkSZIkTQlVNdZ9rW7TAuBO4F0ASZZX1axu7CfAd4DP0howShowy4BIkiRJkiRpZE1ogDinqpYBs4G7gV8B5wJ7V9WSJMcluaeqZgI7AD8DDk5y0yDmLumPGVZLkiRJkiRpJPUH1VX1AuBVwKOBO6rqVOAy2qrqhwMHV9VTga8BWwP7AYf1guoJobekASj/BiVJkiRJkjTKquqVwBnApcAK4BHAPwHnAUfSmia+EtgX+GvgRuDMJKd0xxtUS0PAsFqSJEmSJEkjq6r+HriCVu7jpCR3dDWr3wC8G3h/ksN6gXRVbQnck+S27vixJOMD+wEk3ccyIJIkSZIkSRoZK1kF/UhgM+DqJHcAdOPvqapNgSOq6mNJvteN3TLhXAbV0pAYG/QEJEmSJEmSpDXVV6N6127TBsD6dDlXVc2oql7mdQ5wJ7B7N1YrO5ek4WBYLUmSJEmSpJFSVXsDV1XVnsDVwG+AAwCSrJiwWvpu4JZuzHBaGmKG1ZIkSZIkSRoZVbUZMBc4Bvh6kiXACcALq+r0qnpQt98c4B9pDRd/Oqj5Slpz1qyWJEmSJEnSSKiqFwKPpmVaX0hyazd0MbAlcDiwU1Ut6rbvBbwjyVcnfbKS7rfy6QdJkiRJkiQNu26l9FnAPsAdwC5JvtM3vgnwVOAoYCvgBuDTSc7uxsdspigNN8NqSZIkSZIkDZ2qqok1pqtqc1r5j0OAE2mrpv8w8ThgBjAjybJum0G1NAIsAyJJkiRJkqSh0h9UV9VjgIcC9wILgeOA9WklP26sqrOT3NXtOyPJCuDeqhrvO5dBtTQCDKslSZIkSZI0VPqC6lcC7wA2B5YD1wPzgHcCAd7X7Xd2kru6oLp3jvH+c0kafobVkiRJkiRJGgoTVlTvDpwGnAr8L7AFsD9wOXAQ8BZgDvAeYEZVnZnkzoFMXNJaYc1qSZIkSZIkDZWq2gp4AvBC4Mgkt/dtPw/YFng68FvgDFrTxScm+cFgZixpbRgb9AQkSZIkSZKknqraGfglLZS+pxdUAyS5CTgM2BB4Y7eS+khgd4NqafQZVkuSJEmSJGmY/BS4BNgA2BJaeZCqGgNI8kPgOtrqapLcnOSqbj+zLmmE+QcsSZIkSZKkoZHkZuBgYAHw71X1+jTjAFW1HnAncFdVza6q6jt2fCCTlrRW2GBRkiRJkiRJQyXJzVV1GDALOLWqHgp8grbw8p+AXYADkywf3CwlrW02WJQkSZIkSdJQqqotgfnAi4AlwPeAzYBLk7yr26diwCVNCa6sliRJkiRJ0lBKcktVHQIsA14CXJvkuN54VY1Z+kOaOgyrJUmSJEmSNLS6kiBHA3OAY6vqxiRnGlRLU49htSQFcTcVAAAAl0lEQVRJkiRJkoZakpuq6uDuv2dU1fpJ5g90UpLWOsNqSZIkSZIkDb2uJMjBtJrVOw56PpLWPhssSpIkSZIkaWRU1UZJlg56HpLWPsNqSZIkSZIkjZyqqhhsSVOKYbUkSZIkSZIkaeDGBj0BSZIkSZIkSZIMqyVJkiRJkiRJA2dYLUmSJEmSJEkaOMNqSZIkSZIkSdLA/T/M5KXERtlhpAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1728x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "msno.bar(transaction_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we see that in each column we need to have 20000 data,  but in colums *online_order, brand, product_line, product_class and so on*, we have some missing values.\n",
    "\n",
    "Now, further we will inspect missing values using **isnull()function (missingno and isnull() gives same result)**, we  will inspect the dataset and we will replace it with NaN and we will impute it. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1542\n",
      "788\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# Inspect missing values in the dataset\n",
    "print(transaction_df.isnull().values.sum())\n",
    "\n",
    "# Replace the ' 's with NaN\n",
    "transaction_df = transaction_df.replace(\" \",np.NaN)\n",
    "\n",
    "# Impute the missing values with mean imputation\n",
    "transaction_df = transaction_df.fillna(transaction_df.mean())\n",
    "\n",
    "# Count the number of NaNs in the dataset to verify\n",
    "print(transaction_df.isnull().values.sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 20000 entries, 0 to 19999\n",
      "Data columns (total 13 columns):\n",
      "transaction_id             20000 non-null int64\n",
      "product_id                 20000 non-null int64\n",
      "customer_id                20000 non-null int64\n",
      "transaction_date           20000 non-null datetime64[ns]\n",
      "online_order               20000 non-null float64\n",
      "order_status               20000 non-null object\n",
      "brand                      19803 non-null object\n",
      "product_line               19803 non-null object\n",
      "product_class              19803 non-null object\n",
      "product_size               19803 non-null object\n",
      "list_price                 20000 non-null float64\n",
      "standard_cost              20000 non-null float64\n",
      "product_first_sold_date    20000 non-null float64\n",
      "dtypes: datetime64[ns](1), float64(4), int64(3), object(5)\n",
      "memory usage: 2.0+ MB\n",
      "None\n",
      "0\n"
     ]
    }
   ],
   "source": [
    "print(transaction_df.info())\n",
    "for col in transaction_df.columns:\n",
    "    # Check if the column is of object type\n",
    "    if transaction_df[col].dtypes == 'object':\n",
    "        # Impute with the most frequent value\n",
    "        transaction_df[col] = transaction_df[col].fillna(transaction_df[col].value_counts().index[0])\n",
    "\n",
    "# Count the number of NaNs in the dataset and print the counts to verify\n",
    "print(transaction_df.isnull().values.sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a1acac2e8>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.bar(transaction_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we see that we have no any missing values. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 20000 entries, 0 to 19999\n",
      "Data columns (total 13 columns):\n",
      "transaction_id             20000 non-null int64\n",
      "product_id                 20000 non-null int64\n",
      "customer_id                20000 non-null int64\n",
      "transaction_date           20000 non-null datetime64[ns]\n",
      "online_order               20000 non-null float64\n",
      "order_status               20000 non-null object\n",
      "brand                      20000 non-null object\n",
      "product_line               20000 non-null object\n",
      "product_class              20000 non-null object\n",
      "product_size               20000 non-null object\n",
      "list_price                 20000 non-null float64\n",
      "standard_cost              20000 non-null float64\n",
      "product_first_sold_date    20000 non-null float64\n",
      "dtypes: datetime64[ns](1), float64(4), int64(3), object(5)\n",
      "memory usage: 2.0+ MB\n"
     ]
    }
   ],
   "source": [
    "transaction_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we see we have  12 columes(attributes) and 20000 Data Points in dataset\n",
    "\n",
    "We have 'transaction_date'  in datetime format.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we have completed our data cleaning and understanding, now we will commence the Cohort Analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Assigned the cohorts and calculated the monthly offset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   transaction_id  product_id  customer_id transaction_date  online_order  \\\n",
      "0               1           2         2950       2017-02-25           0.0   \n",
      "1               2           3         3120       2017-05-21           1.0   \n",
      "2               3          37          402       2017-10-16           0.0   \n",
      "3               4          88         3135       2017-08-31           0.0   \n",
      "4               5          78          787       2017-10-01           1.0   \n",
      "\n",
      "  order_status           brand product_line product_class product_size  \\\n",
      "0     Approved           Solex     Standard        medium       medium   \n",
      "1     Approved   Trek Bicycles     Standard        medium        large   \n",
      "2     Approved      OHM Cycles     Standard           low       medium   \n",
      "3     Approved  Norco Bicycles     Standard        medium       medium   \n",
      "4     Approved  Giant Bicycles     Standard        medium        large   \n",
      "\n",
      "   list_price  standard_cost  product_first_sold_date TransactionMonth  \\\n",
      "0       71.49          53.62                  41245.0       2017-02-01   \n",
      "1     2091.47         388.92                  41701.0       2017-05-01   \n",
      "2     1793.43         248.82                  36361.0       2017-10-01   \n",
      "3     1198.46         381.10                  36145.0       2017-08-01   \n",
      "4     1765.30         709.48                  42226.0       2017-10-01   \n",
      "\n",
      "  CohortMonth  \n",
      "0  2017-02-01  \n",
      "1  2017-01-01  \n",
      "2  2017-01-01  \n",
      "3  2017-02-01  \n",
      "4  2017-01-01  \n"
     ]
    }
   ],
   "source": [
    "# A function that will parse the date Time based cohort:  1 day of month\n",
    "def get_month(x): return dt.datetime(x.year, x.month, 1) \n",
    "\n",
    "# Create transaction_date column based on month and store in TransactionMonth\n",
    "transaction_df['TransactionMonth'] = transaction_df['transaction_date'].apply(get_month) \n",
    "\n",
    "# Grouping by customer_id and select the InvoiceMonth value\n",
    "grouping = transaction_df.groupby('customer_id')['TransactionMonth'] \n",
    "\n",
    "# Assigning a minimum InvoiceMonth value to the dataset\n",
    "transaction_df['CohortMonth'] = grouping.transform('min')\n",
    "\n",
    "# printing top 5 rows\n",
    "print(transaction_df.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Calculating  time offset in Month as  Cohort Index** \n",
    "\n",
    "Calculating time offset for each transaction allows you to evalauate the metrics for each cohort in a comparable fashion.\n",
    "\n",
    "First, we will create 6 variables that capture the integer value of years, months and days for Transaction and Cohort Date using the get_date_int() function.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_date_int(df, column):\n",
    "    year = df[column].dt.year\n",
    "    month = df[column].dt.month\n",
    "    day = df[column].dt.day\n",
    "    return year, month, day\n",
    "\n",
    "# Getting the integers for date parts from the `InvoiceDay` column\n",
    "transcation_year, transaction_month, _ = get_date_int(transaction_df, 'TransactionMonth')\n",
    "\n",
    "# Getting the integers for date parts from the `CohortDay` column\n",
    "cohort_year, cohort_month, _ = get_date_int(transaction_df, 'CohortMonth')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we will:\n",
    "- We will calculate the difference between the Invoice Dates and Cohort dates in years, months separately.\n",
    "- then calculate the total Months difference between the two. \n",
    "- This will be our Months offset or cohort Index, which we will use in the next section to calculate retention rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   transaction_id  product_id  customer_id transaction_date  online_order  \\\n",
      "0               1           2         2950       2017-02-25           0.0   \n",
      "1               2           3         3120       2017-05-21           1.0   \n",
      "2               3          37          402       2017-10-16           0.0   \n",
      "3               4          88         3135       2017-08-31           0.0   \n",
      "4               5          78          787       2017-10-01           1.0   \n",
      "\n",
      "  order_status           brand product_line product_class product_size  \\\n",
      "0     Approved           Solex     Standard        medium       medium   \n",
      "1     Approved   Trek Bicycles     Standard        medium        large   \n",
      "2     Approved      OHM Cycles     Standard           low       medium   \n",
      "3     Approved  Norco Bicycles     Standard        medium       medium   \n",
      "4     Approved  Giant Bicycles     Standard        medium        large   \n",
      "\n",
      "   list_price  standard_cost  product_first_sold_date TransactionMonth  \\\n",
      "0       71.49          53.62                  41245.0       2017-02-01   \n",
      "1     2091.47         388.92                  41701.0       2017-05-01   \n",
      "2     1793.43         248.82                  36361.0       2017-10-01   \n",
      "3     1198.46         381.10                  36145.0       2017-08-01   \n",
      "4     1765.30         709.48                  42226.0       2017-10-01   \n",
      "\n",
      "  CohortMonth  CohortIndex  \n",
      "0  2017-02-01            1  \n",
      "1  2017-01-01            5  \n",
      "2  2017-01-01           10  \n",
      "3  2017-02-01            7  \n",
      "4  2017-01-01           10  \n"
     ]
    }
   ],
   "source": [
    "#  Get the  difference in years\n",
    "years_diff = transcation_year - cohort_year\n",
    "\n",
    "# Calculate difference in months\n",
    "months_diff = transaction_month - cohort_month\n",
    "\n",
    "\n",
    "\"\"\" Extract the difference in months from all previous values\n",
    " \"+1\" in addeded at the end so that first month is marked as 1 instead of 0 for easier interpretation. \n",
    " \"\"\"\n",
    "\n",
    "transaction_df['CohortIndex'] = years_diff * 12 + months_diff  + 1 \n",
    "print(transaction_df.head(5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Here, at first we create a *groupby()* object with *CohortMonth and CohortIndex* and store it as grouping. \n",
    " \n",
    "Then, we call this object, select the *customer_id* column and calculate the average.\n",
    "\n",
    "Then we store the results as *cohort_data*. Then, we reset the index before calling the pivot function to be able to access the columns now stored as indices.\n",
    " \n",
    "Finally, we create a pivot table by passing \n",
    "* *CohortMonth* to the index parameter,\n",
    "* *CohortIndex* to the columns parameter, \n",
    "* *customer_id* to the values parameter. \n",
    "\n",
    "and rounding it up to 1 digit, and see what we get."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>CohortMonth</th>\n",
       "      <th>CohortIndex</th>\n",
       "      <th>customer_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>1354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>2</td>\n",
       "      <td>486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>3</td>\n",
       "      <td>508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>4</td>\n",
       "      <td>509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>5</td>\n",
       "      <td>502</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  CohortMonth  CohortIndex  customer_id\n",
       "0  2017-01-01            1         1354\n",
       "1  2017-01-01            2          486\n",
       "2  2017-01-01            3          508\n",
       "3  2017-01-01            4          509\n",
       "4  2017-01-01            5          502"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Counting daily active user from each chort\n",
    "grouping = transaction_df.groupby(['CohortMonth', 'CohortIndex'])\n",
    "\n",
    "\n",
    "\n",
    "# Counting number of unique customer Id's falling in each group of CohortMonth and CohortIndex\n",
    "cohort_data = grouping['customer_id'].apply(pd.Series.nunique)\n",
    "cohort_data = cohort_data.reset_index()\n",
    "\n",
    "\n",
    " # Assigning column names to the dataframe created above\n",
    "cohort_counts = cohort_data.pivot(index='CohortMonth',\n",
    "                                 columns ='CohortIndex',\n",
    "                                 values = 'customer_id')\n",
    "\n",
    "# Printing top 5 rows of Dataframe\n",
    "cohort_data.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CohortIndex      1      2      3      4      5      6      7      8      9   \\\n",
      "CohortMonth                                                                   \n",
      "2017-01-01   1354.0  486.0  508.0  509.0  502.0  483.0  518.0  529.0  500.0   \n",
      "2017-02-01    800.0  325.0  298.0  313.0  288.0  298.0  308.0  281.0  329.0   \n",
      "2017-03-01    484.0  167.0  174.0  167.0  182.0  184.0  172.0  212.0  189.0   \n",
      "2017-04-01    336.0  111.0  121.0  153.0  143.0  121.0  142.0  126.0  132.0   \n",
      "2017-05-01    210.0   85.0   81.0   87.0   71.0   74.0   73.0   81.0    NaN   \n",
      "2017-06-01    122.0   45.0   44.0   47.0   46.0   46.0   53.0    NaN    NaN   \n",
      "2017-07-01     77.0   26.0   29.0   32.0   37.0   24.0    NaN    NaN    NaN   \n",
      "2017-08-01     51.0   19.0   21.0   17.0   13.0    NaN    NaN    NaN    NaN   \n",
      "2017-09-01     23.0    7.0    7.0    9.0    NaN    NaN    NaN    NaN    NaN   \n",
      "2017-10-01     20.0    6.0    8.0    NaN    NaN    NaN    NaN    NaN    NaN   \n",
      "2017-11-01     13.0    5.0    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
      "2017-12-01      4.0    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN   \n",
      "\n",
      "CohortIndex     10     11     12  \n",
      "CohortMonth                       \n",
      "2017-01-01   531.0  497.0  516.0  \n",
      "2017-02-01   308.0  296.0    NaN  \n",
      "2017-03-01   181.0    NaN    NaN  \n",
      "2017-04-01     NaN    NaN    NaN  \n",
      "2017-05-01     NaN    NaN    NaN  \n",
      "2017-06-01     NaN    NaN    NaN  \n",
      "2017-07-01     NaN    NaN    NaN  \n",
      "2017-08-01     NaN    NaN    NaN  \n",
      "2017-09-01     NaN    NaN    NaN  \n",
      "2017-10-01     NaN    NaN    NaN  \n",
      "2017-11-01     NaN    NaN    NaN  \n",
      "2017-12-01     NaN    NaN    NaN  \n"
     ]
    }
   ],
   "source": [
    "print(cohort_counts.round(1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate business metrics: Retention rate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "> The percentage of active customers compared to the total number of customers after a specific time interval is called retention rate.\n",
    "\n",
    "In the this section, we will calculate retention count for each cohort Month paired with cohort Index\n",
    "\n",
    "Now that we have count of retained customer for each *cohortMonth* and *cohortIndex*. We will calculate retention rate for each Cohort.\n",
    "\n",
    "\n",
    "We will create a pivot table for this purpose.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Select the first column and store it to cohort_sizes as size of cohort === no. active customer in first day\n",
    "We will store the 1st column as Cohort size i.e total Number of Customers in that Cohort\n",
    "\"\"\"\n",
    "\n",
    "cohort_sizes = cohort_counts.iloc[:,0]\n",
    "\n",
    "\"\"\"\n",
    "We will divide the values in other columns with Cohort Size in order to calculate the retention rate i.e Number of Customers in Each Cohort Index\n",
    "\"\"\"\n",
    "\n",
    "retention = cohort_counts.divide(cohort_sizes, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>CohortIndex</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CohortMonth</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>35.9</td>\n",
       "      <td>37.5</td>\n",
       "      <td>37.6</td>\n",
       "      <td>37.1</td>\n",
       "      <td>35.7</td>\n",
       "      <td>38.3</td>\n",
       "      <td>39.1</td>\n",
       "      <td>36.9</td>\n",
       "      <td>39.2</td>\n",
       "      <td>36.7</td>\n",
       "      <td>38.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-02-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>40.6</td>\n",
       "      <td>37.2</td>\n",
       "      <td>39.1</td>\n",
       "      <td>36.0</td>\n",
       "      <td>37.2</td>\n",
       "      <td>38.5</td>\n",
       "      <td>35.1</td>\n",
       "      <td>41.1</td>\n",
       "      <td>38.5</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-03-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>34.5</td>\n",
       "      <td>36.0</td>\n",
       "      <td>34.5</td>\n",
       "      <td>37.6</td>\n",
       "      <td>38.0</td>\n",
       "      <td>35.5</td>\n",
       "      <td>43.8</td>\n",
       "      <td>39.0</td>\n",
       "      <td>37.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-04-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>45.5</td>\n",
       "      <td>42.6</td>\n",
       "      <td>36.0</td>\n",
       "      <td>42.3</td>\n",
       "      <td>37.5</td>\n",
       "      <td>39.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-05-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>40.5</td>\n",
       "      <td>38.6</td>\n",
       "      <td>41.4</td>\n",
       "      <td>33.8</td>\n",
       "      <td>35.2</td>\n",
       "      <td>34.8</td>\n",
       "      <td>38.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-06-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>36.9</td>\n",
       "      <td>36.1</td>\n",
       "      <td>38.5</td>\n",
       "      <td>37.7</td>\n",
       "      <td>37.7</td>\n",
       "      <td>43.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-07-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>33.8</td>\n",
       "      <td>37.7</td>\n",
       "      <td>41.6</td>\n",
       "      <td>48.1</td>\n",
       "      <td>31.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-08-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>37.3</td>\n",
       "      <td>41.2</td>\n",
       "      <td>33.3</td>\n",
       "      <td>25.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-09-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>30.4</td>\n",
       "      <td>30.4</td>\n",
       "      <td>39.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-10-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>38.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-12-01</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "CohortIndex     1     2     3     4     5     6     7     8     9     10  \\\n",
       "CohortMonth                                                                \n",
       "2017-01-01   100.0  35.9  37.5  37.6  37.1  35.7  38.3  39.1  36.9  39.2   \n",
       "2017-02-01   100.0  40.6  37.2  39.1  36.0  37.2  38.5  35.1  41.1  38.5   \n",
       "2017-03-01   100.0  34.5  36.0  34.5  37.6  38.0  35.5  43.8  39.0  37.4   \n",
       "2017-04-01   100.0  33.0  36.0  45.5  42.6  36.0  42.3  37.5  39.3   NaN   \n",
       "2017-05-01   100.0  40.5  38.6  41.4  33.8  35.2  34.8  38.6   NaN   NaN   \n",
       "2017-06-01   100.0  36.9  36.1  38.5  37.7  37.7  43.4   NaN   NaN   NaN   \n",
       "2017-07-01   100.0  33.8  37.7  41.6  48.1  31.2   NaN   NaN   NaN   NaN   \n",
       "2017-08-01   100.0  37.3  41.2  33.3  25.5   NaN   NaN   NaN   NaN   NaN   \n",
       "2017-09-01   100.0  30.4  30.4  39.1   NaN   NaN   NaN   NaN   NaN   NaN   \n",
       "2017-10-01   100.0  30.0  40.0   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
       "2017-11-01   100.0  38.5   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
       "2017-12-01   100.0   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
       "\n",
       "CohortIndex    11    12  \n",
       "CohortMonth              \n",
       "2017-01-01   36.7  38.1  \n",
       "2017-02-01   37.0   NaN  \n",
       "2017-03-01    NaN   NaN  \n",
       "2017-04-01    NaN   NaN  \n",
       "2017-05-01    NaN   NaN  \n",
       "2017-06-01    NaN   NaN  \n",
       "2017-07-01    NaN   NaN  \n",
       "2017-08-01    NaN   NaN  \n",
       "2017-09-01    NaN   NaN  \n",
       "2017-10-01    NaN   NaN  \n",
       "2017-11-01    NaN   NaN  \n",
       "2017-12-01    NaN   NaN  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "\"\"\"\n",
    "this matrix has 2 axes: \n",
    "x - cohort date (beginning of month); y - cohort maturity (in months)\n",
    "every cell is a unique count of customer for the x and y\n",
    "\n",
    "if a customer's last order was in period 2,\n",
    "they were active in period 0, 1 as well\n",
    "same for other periods\n",
    "\n",
    "\"\"\"\n",
    "\n",
    "# Coverting the retention rate into percentage and Rounding off.\n",
    "retention.round(3)*100\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The retention Rate dataframe represent Customer retained across Cohorts. We can read it as following:\n",
    "- Index value represents the Cohort\n",
    "- Columns represent the number of months since current Cohort\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-warning\">\n",
    "    <b>For instance:</b>  The value at CohortMonth <b>2017-01-01</b>, CohortIndex <b>3<b> is 35.9 and represents <b>35.9%</b> of customers from cohort <b>2017-01 </b> were retained in <b>3rd Month</b>.\n",
    "</div\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Also you can see from the retention Rate DataFrame:\n",
    "-  Retention Rate 1st index i.e 1st month is 100%  as all the customers for that particular customers signed up in 1st Month\n",
    "- Retention Rate may increase or decrease in Subsequent Indexes.\n",
    "- Values towards BottomRight have a lot of NaN values.\n",
    "\n",
    "\n",
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualizing the retention rate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before we starting plotting our heatmap, let's set the index of our Retention rate dataframe to a more readable string format\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['2017-01', '2017-02', '2017-03', '2017-04', '2017-05', '2017-06',\n",
       "       '2017-07', '2017-08', '2017-09', '2017-10', '2017-11', '2017-12'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "retention.index = retention.index.strftime('%Y-%m')\n",
    "retention.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initialize the figure\n",
    "plt.figure(figsize=(16, 10))\n",
    "\n",
    "# Adding a title\n",
    "plt.title('Retention Rate in percentage:- Monthly Cohorts', fontsize = 14)\n",
    "\n",
    "# Creating the seaborn based heatmap\n",
    "sns.heatmap(retention, annot=True, fmt= '.0%',cmap='YlGnBu', vmin = 0.0 , vmax = 0.6)\n",
    "plt.ylabel('Cohort Month')\n",
    "plt.xlabel('Cohort Index')\n",
    "plt.yticks( rotation='360')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Interpreting the retention rate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most effective way to visualize and analyze cohort analysis data is through a heatmap, as we did above. It provides both the actual metric values and the color-coding to see the differences in the numbers visually.\n",
    "\n",
    "> If you do not have basic understanding of heatmap, you can check out my blog [Exploratory Data Analysis for Beginner Using Python](https://medium.com/analytics-vidhya/exploratory-data-analysis-for-beginner-7488d587f1ec), where I have talked about heatmaps for beginners.\n",
    "\n",
    "\n",
    "Here, We have 12 cohorts for each month and 12 cohort indexes. The darker the blue shades higher the values. Thus, if we see in 2017-07 cohort Month in 5th Cohort Index, we see the dark blue shade with  48% which means that 48% of cohorts that signed in July 2017 were active 5 months later.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This concludes our Cohort analysis for the retention rate. Similarly, we can perform cohort analysis for other business matrices.\n",
    "\n",
    "\n",
    "As per our objective, we will see *average list  price monthly cohort * and  * average standard cost montly cohort. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Average standard cost monthly cohort"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a groupby object and pass the monthly cohort and cohort index as a list\n",
    "grouping = transaction_df.groupby(['CohortMonth', 'CohortIndex']) \n",
    "\n",
    "# Calculate the standard  average cost of the standard_cost column\n",
    "cohort_data = grouping['standard_cost'].mean()\n",
    "\n",
    "# Reset the index of cohort_data before pivot\n",
    "cohort_data = cohort_data.reset_index()\n",
    "\n",
    "# Create a pivot \n",
    "average_order = cohort_data.pivot(index='CohortMonth',\n",
    "                                  columns='CohortIndex',\n",
    "                                  values='standard_cost')\n",
    "\n",
    "average_standard_cost = average_order.round(1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>CohortIndex</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CohortMonth</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>553.0</td>\n",
       "      <td>576.6</td>\n",
       "      <td>576.4</td>\n",
       "      <td>579.1</td>\n",
       "      <td>567.1</td>\n",
       "      <td>581.6</td>\n",
       "      <td>561.5</td>\n",
       "      <td>512.4</td>\n",
       "      <td>567.8</td>\n",
       "      <td>531.1</td>\n",
       "      <td>520.5</td>\n",
       "      <td>549.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-02-01</td>\n",
       "      <td>560.3</td>\n",
       "      <td>561.7</td>\n",
       "      <td>546.3</td>\n",
       "      <td>572.5</td>\n",
       "      <td>546.0</td>\n",
       "      <td>529.1</td>\n",
       "      <td>582.8</td>\n",
       "      <td>532.9</td>\n",
       "      <td>571.5</td>\n",
       "      <td>564.0</td>\n",
       "      <td>570.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-03-01</td>\n",
       "      <td>534.4</td>\n",
       "      <td>611.6</td>\n",
       "      <td>623.0</td>\n",
       "      <td>551.4</td>\n",
       "      <td>521.4</td>\n",
       "      <td>583.7</td>\n",
       "      <td>564.1</td>\n",
       "      <td>580.3</td>\n",
       "      <td>530.0</td>\n",
       "      <td>510.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-04-01</td>\n",
       "      <td>524.3</td>\n",
       "      <td>620.3</td>\n",
       "      <td>560.3</td>\n",
       "      <td>552.2</td>\n",
       "      <td>512.8</td>\n",
       "      <td>517.7</td>\n",
       "      <td>562.3</td>\n",
       "      <td>508.7</td>\n",
       "      <td>557.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-05-01</td>\n",
       "      <td>604.0</td>\n",
       "      <td>557.4</td>\n",
       "      <td>589.0</td>\n",
       "      <td>576.2</td>\n",
       "      <td>615.4</td>\n",
       "      <td>496.9</td>\n",
       "      <td>593.3</td>\n",
       "      <td>600.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "CohortIndex     1      2      3      4      5      6      7      8      9   \\\n",
       "CohortMonth                                                                  \n",
       "2017-01-01   553.0  576.6  576.4  579.1  567.1  581.6  561.5  512.4  567.8   \n",
       "2017-02-01   560.3  561.7  546.3  572.5  546.0  529.1  582.8  532.9  571.5   \n",
       "2017-03-01   534.4  611.6  623.0  551.4  521.4  583.7  564.1  580.3  530.0   \n",
       "2017-04-01   524.3  620.3  560.3  552.2  512.8  517.7  562.3  508.7  557.3   \n",
       "2017-05-01   604.0  557.4  589.0  576.2  615.4  496.9  593.3  600.9    NaN   \n",
       "\n",
       "CohortIndex     10     11     12  \n",
       "CohortMonth                       \n",
       "2017-01-01   531.1  520.5  549.2  \n",
       "2017-02-01   564.0  570.8    NaN  \n",
       "2017-03-01   510.5    NaN    NaN  \n",
       "2017-04-01     NaN    NaN    NaN  \n",
       "2017-05-01     NaN    NaN    NaN  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "average_standard_cost.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['2017-01', '2017-02', '2017-03', '2017-04', '2017-05', '2017-06',\n",
       "       '2017-07', '2017-08', '2017-09', '2017-10', '2017-11', '2017-12'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "average_standard_cost.index = average_standard_cost.index.strftime('%Y-%m')\n",
    "average_standard_cost.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Initialize the figure\n",
    "plt.figure(figsize=(16, 10))\n",
    "\n",
    "# Adding a title\n",
    "plt.title('Average Standard Cost: Monthly Cohorts', fontsize = 14)\n",
    "\n",
    "# Creating the heatmap\n",
    "sns.heatmap(average_standard_cost, annot = True,vmin = 0.0, vmax =20,cmap=\"YlGnBu\", fmt='g')\n",
    "plt.ylabel('Cohort Month')\n",
    "plt.xlabel('Cohort Index')\n",
    "plt.yticks( rotation='360')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Average standard cost for 1st month for the first cohort(2017-01) was 553 (1st colum of first row).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Average list price monthly cohort"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>CohortIndex</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CohortMonth</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2017-01-01</td>\n",
       "      <td>1109.4</td>\n",
       "      <td>1141.0</td>\n",
       "      <td>1119.8</td>\n",
       "      <td>1120.3</td>\n",
       "      <td>1117.3</td>\n",
       "      <td>1125.3</td>\n",
       "      <td>1143.7</td>\n",
       "      <td>1066.8</td>\n",
       "      <td>1104.1</td>\n",
       "      <td>1101.9</td>\n",
       "      <td>1086.5</td>\n",
       "      <td>1055.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-02-01</td>\n",
       "      <td>1088.1</td>\n",
       "      <td>1103.2</td>\n",
       "      <td>1115.4</td>\n",
       "      <td>1127.8</td>\n",
       "      <td>1126.7</td>\n",
       "      <td>1090.6</td>\n",
       "      <td>1150.1</td>\n",
       "      <td>1064.2</td>\n",
       "      <td>1090.6</td>\n",
       "      <td>1115.3</td>\n",
       "      <td>1098.2</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-03-01</td>\n",
       "      <td>1071.2</td>\n",
       "      <td>1169.8</td>\n",
       "      <td>1155.1</td>\n",
       "      <td>1066.3</td>\n",
       "      <td>1046.2</td>\n",
       "      <td>1157.9</td>\n",
       "      <td>1136.9</td>\n",
       "      <td>1139.2</td>\n",
       "      <td>1123.4</td>\n",
       "      <td>1095.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-04-01</td>\n",
       "      <td>1073.5</td>\n",
       "      <td>1159.5</td>\n",
       "      <td>1102.4</td>\n",
       "      <td>1081.9</td>\n",
       "      <td>1037.2</td>\n",
       "      <td>1099.2</td>\n",
       "      <td>1110.0</td>\n",
       "      <td>1085.2</td>\n",
       "      <td>1235.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2017-05-01</td>\n",
       "      <td>1144.9</td>\n",
       "      <td>1079.4</td>\n",
       "      <td>1109.5</td>\n",
       "      <td>1144.3</td>\n",
       "      <td>1166.3</td>\n",
       "      <td>1138.8</td>\n",
       "      <td>1070.3</td>\n",
       "      <td>1220.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "CohortIndex      1       2       3       4       5       6       7       8   \\\n",
       "CohortMonth                                                                   \n",
       "2017-01-01   1109.4  1141.0  1119.8  1120.3  1117.3  1125.3  1143.7  1066.8   \n",
       "2017-02-01   1088.1  1103.2  1115.4  1127.8  1126.7  1090.6  1150.1  1064.2   \n",
       "2017-03-01   1071.2  1169.8  1155.1  1066.3  1046.2  1157.9  1136.9  1139.2   \n",
       "2017-04-01   1073.5  1159.5  1102.4  1081.9  1037.2  1099.2  1110.0  1085.2   \n",
       "2017-05-01   1144.9  1079.4  1109.5  1144.3  1166.3  1138.8  1070.3  1220.9   \n",
       "\n",
       "CohortIndex      9       10      11      12  \n",
       "CohortMonth                                  \n",
       "2017-01-01   1104.1  1101.9  1086.5  1055.9  \n",
       "2017-02-01   1090.6  1115.3  1098.2     NaN  \n",
       "2017-03-01   1123.4  1095.7     NaN     NaN  \n",
       "2017-04-01   1235.6     NaN     NaN     NaN  \n",
       "2017-05-01      NaN     NaN     NaN     NaN  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a groupby object and pass the monthly cohort and cohort index as a list\n",
    "grouping = transaction_df.groupby(['CohortMonth', 'CohortIndex']) \n",
    "\n",
    "# Calculate the average of the list price column\n",
    "cohort_data = grouping['list_price'].mean()\n",
    "\n",
    "# Reset the index of cohort_data before pivot\n",
    "cohort_data = cohort_data.reset_index()\n",
    "\n",
    "# Create a pivot \n",
    "average_list = cohort_data.pivot(index='CohortMonth',\n",
    "                                  columns='CohortIndex',\n",
    "                                  values='list_price')\n",
    "\n",
    "average_list_cost = average_list.round(1)\n",
    "\n",
    "average_list_cost.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['2017-01', '2017-02', '2017-03', '2017-04', '2017-05', '2017-06',\n",
       "       '2017-07', '2017-08', '2017-09', '2017-10', '2017-11', '2017-12'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "average_list_cost.index = average_list_cost.index.strftime('%Y-%m')\n",
    "average_list_cost.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Initialize the figure\n",
    "plt.figure(figsize=(16, 10))\n",
    "\n",
    "# Adding a title\n",
    "plt.title('Average List Price: Monthly Cohorts', fontsize = 14)\n",
    "\n",
    "# Creating the heatmap\n",
    "sns.heatmap(average_list_cost, annot = True,vmin = 0.0, vmax =20,cmap=\"nipy_spectral\", fmt='g')\n",
    "plt.ylabel('Cohort Month')\n",
    "plt.xlabel('Cohort Index')\n",
    "plt.yticks( rotation='360')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Average list price for 1st month for the first cohort(2017-01) was 1109.4 (1st colum of first row).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n",
    "\n",
    "Thus, We complete our Cohort Analysis, where you learned about basic and types of cohort analysis, performing time cohorts, working with pandas pivot, and create a retention table along with visualizing it. We also learned the way to explore other matrices.\n",
    "\n",
    "> **Now, you can start creating exploring the  metrics that matters to your business on your own.**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "<div class=\"alert alert-block alert-warning\">\n",
    " &#9755; <b><a href=\"https://bit.ly/3hNtmBj\" target=_blank>  Hands-on tutorial on cohorts analysis in Datacamp</a></b> \n",
    "    \n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extra Readings & Tutorials 🔖\n",
    "\n",
    "1. [Exploratory Data Analysis for Beginner Using Python with Complete Guide and  Code\n",
    "](https://medium.com/analytics-vidhya/exploratory-data-analysis-for-beginner-7488d587f1ec)\n",
    "\n",
    "2. [Build Your First Data Visualization Web App in Python Using Streamlit](https://towardsdatascience.com/build-your-first-data-visualization-web-app-in-python-using-streamlit-37e4c83a85db)\n",
    "\n",
    "3. [The Ultimate Guide To SMS: Spam or Ham Detector Using Python(AN APPROACH WITH ARTIFICIAL INTELLIGENCE)](https://towardsdatascience.com/the-ultimate-guide-to-sms-spam-or-ham-detector-aec467aecd85)\n",
    "\n",
    "4. [8 Tips for the Better Digital Version of Yourself: No Social media or digital addiction any more](https://medium.com/@maladeep.upadhaya/data-detox-c1fe684164d2)\n",
    "\n",
    "5. [Surprisingly Effective Way To Name Matching In Python: Data Matching, Fuzzy Matching, Data Deduplication](https://towardsdatascience.com/surprisingly-effective-way-to-name-matching-in-python-1a67328e670e)\n"
   ]
  },
  {
   "attachments": {
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qNn+9pmdy6Ecr8bkm89M7++eOt5oqqduycXOhvm5NwSSArNOCs+y57dd+AwAAAADVRQAHgFX36qXTG0/Nvf1y7OfpujL4XdMkdfV1a3ItTRu03wDJ0IKzrJl9TfsNAAAAAFQXARwASqJncujLMX//yPzE8MmFMw0mSerC1lO1tS7BgHSEFpze3t5Fk7jree0/dOiQ7TIBAAAAoMqoxAagJN66dr7umxdef+ff3v/P/u69/t3Zpfm2riuDT5oiqduwdl2uqaHR1lPAhzQ3N793C0GXrArbKT377LNPFY/zB1bszkL7TdaPsbW1NdPnG+kIgbPi7Z+Gj2dmZj45Nja29V4/R1tb218XH1suv/9xr8cZsqp4fh8tnuf3v//xZ4sf39PrqsXH3mvF2zvvf/yfirevmyoAlP+atHj9mS9eh/70/Y8vFD/+oqm6xgJYLgEcAErmpak37n/6U7+584HGT/7xvfy9/rnjx2aX5g2QpIXWm62bmm09BXzEnj178p2dnf/50UcffSKrxxi2Uzpw4MD3e3t7663Y7aXQfrN37958e3v7X3V0dDxsxbgb4QXx4rn9SHgj480331wTHg+KH+dWcJu1z7x/Cw6H/4SQ2Pu3wq/+6q/+IpyzXkynBM91TxXP7d4bb/yMjo7+8nxfIWFLxxuPveHX50IAt62t7b0g7iOPPBLe/Pvr4nn+pjf+AKCk16RrbnqOLtx4jg7Xo8Xn6IUQ0BEWz+z6ucYCMkUAB4CSmc1fr+mZHHrplV/ruusAzvjixZ6Bq6P3mR6p27JhU6G+bo32G+CWwotA7e3thZGRkcweoxacj5f19pvw4mNxDf9FeIPZanEr4YXx4uNQx5tvvtlY/LhmBYMH9yQ0NL3f0hQCbWuK31vhhfSHi+fwc+GF9O3bt7/3InrxcfN3PCaxXMVzfTyEbUZHR9eGc70czWDhTacbz/3Dw8PhddobgbRC8fwO1wdLjzzyyN8Uf/1zbxhl3wcbGMqteP58LqXZ3QjAZeS63Bvsvh/IwPlTfH78V8Xn6E3luib9wHN0uB5dm/vbYMfhcC1avBWK16NzxXPrjwTEb79+xX9TbCyuXW05Xuf4uGss/54AVpMADgAldXR6bF3xdvSLn7i7Fw+7pgd7TY3UNdbX51rWb9R+A9zR3r17J0ZGRjLbSqIF585SaL8JbUvvv7jo+or33AjchABCeIF6BVttVu1xKBxn8XbjRfT33gRpb29f2r59+1RnZ+evWFXudL4PDw//k9Bsk+XA6w3vn+u1ub/9qe4nio/fN94w+nnxXB/whl+2dHd3/6J4nVSbleMJbw6fOHHiSym8qRi+Nzs6Op7IynNQcWaHDx48+K7nlOUrXhPP7N69e3NWjic0mBS/H34/xcfNEBYtPr48fCOAEgL1xXOz8Mwzz7xVScGiEMIrPke/HAI3xftck+XtcsNahFBQ8TwP53gIhz8XrkWLa3K8WsOyYf2K6/YHr7322t/J+vp94BrrQ/+eePLJJ99rJhZ4BlZCTaHgB7EhJR2j386PXPppnUlwK/WNhdzmT+Uzf5wPNH6ycOLh33t885qmv7zTnxu4OjrxuzPDD1lZUvfAJ7cuNTU0Zv6i66Xaf/7v/n7NA71WjErV29u72NfXl7kfQghbAt0ItXR0dGS6BSe84Hv27Nkv+Qmxj9q9e/dS1gM4xbV7742H8EJ+VregKhQKNc6m1TU8PHxxdHT008Vfa7P+4vhyHqNCQOHJJ5+c7ezs/G2PVYTzPZU3g+5V2KateJ5Hhc+y+nwQvo9PnDiRzPNBCJBkcSvR559//ufPPvvsuqzPrzi7Qrka1+70/VW8bnJNsgzhjfht27Ydzlqod9euXYWDBw/WpjTLj3tsCY+V4Yc4Ug3ihB9gKD5Pf/WVV15Zm7XHgNjn5j179jxf6UHZG+tXvM5am0Kw+V7XsJoDVUC8WiMAoNTOL1yu+c7UG4fv9Gdml+bb+ueOC9+QvJb1GwsphG+AbAgvoGb5+G604FipD0uh/Sa86aAtoXqFN9lDSKylpaWwY8eOz4SWhkoLI9x4jBoeHg6BuM3F+3o43OcQwHAGVPf5Hh6fK/F8D/cpfC+H+xjuq/O9rI8992fxuMKboinML4tvvFfiY0YJ17M3i416xTVNLlDV3d39xMc834Uf4Hj4/R/iGE/k8fKp4nPXfAjebdu27bnifayY8M0Hn5vDfQvrEtqgKuz57qlwnz64fpUUvvngGobwW/E+FsL5Gu63R3fgXgjgAFAW37rw+gNvXTvfd7vf77oyeGp2ad6gSPtCq/b/sXd3sXGd6X3AhzMcUaIocuhVBWe9jXjTi0Xi1exFEaA3pC+yjY0AprxZGEULiCqCIjeBhrtugQIBhgSKXNkeCUGBXqQrqUCQBAuvSBSwkwKFKQRJLorCo3WBBZIASyW7TpA0ManKX+HHdB6uaMuyPvgxw3nPOb8fQNi7sK3D931nznvO+Z/nKZdOj41rPQXsWby9GG8ypuzKlSvDbkB93uLi4rdTP8Zms/m6mSqWCIZF5a+4cRwPZyKEkHqLqV6L3znCCTEGMRYxJlZGPsV5qcjrPX7X3fUujAOQD3sNNmQhiHNfOPaNvIVuHjcvEQrPQ4jj/vmL36kI83fveiqCcMejqlf8/q4lgL0SwAFgYH7j9vf+48P+/z/65C/+y3//6N1RI0TWnRmvdSKEA7AfquBki+o3pCZukJ8/f37nrdRou+ct/p/ePI+xiDGJm+fR0sFKyYeYy90HQtb7Z+fp+8Nn8/PzWx4YAWRvP3eAf+fTIE4qe52olnJ/OLao+9DdEEeEhbMSxNmtdlP0+bt/b7V7LWFfBTyJJ0IADMwf3/mz6u/93Z/+6YP//6+9/7v/zuiQdaPHRkoTJ06qfgPsmyo42aL6DanYLQcfN8ijDROPHKehKCmfpXYNfFHMXcxhzGWRHwg9yZNaYXTP5V8ySgC5O0eW4vw4qKDAblW6exXZJoRjPx2XnUB4d27eSLk11X1VBd8wfw+/ltgN4rgnAjyKAA4AA/Ubt7/3C+ubH/7z3f/9m3f+4Ee3N//BDVQy7+naU8I3wIGpgpMN8Wap6jcM2u6bqUUqB98LKb4lzp7mbSd4E3O319YcfLbm43siHojutmS7efPm00YGILd7xCOt2HF/cCOCJkVrfbpXEWiJ83EE51Pag5q/A32+dqoaGQ3gQQI4AAzU+uaHQ79x+3v/M/7+9uY//JvfvPOHU0aFrDt9aqJTrQx3jARwUKrgZMP8/PzzqR+j6jf5tbS09JPd4I03Uw/u/rfEvcWarnhAJXjTG7tv4MdD2aiOY0QA8u0ogjj3KjEKbuxvb7OzB41WkYPegwreHG5PlVqYChg8F1kADNzv/d2fnvrjO3/23V97/3f/q9Eg66qV4dLk6JjqN8ChZaEKzuLi4veKOj9RhSH1h8Cq3+TTbhDh/PnzXxa86Z3dt1gvX778kdFI6lzzUjwwjAdUgjcAcOi9Tk+DOHFNFOEDgfCDizBshJcGEeDYDfQL3hz6+mwnTKUaDrBLAAeAJPz6j/7b3B998hfHjARZF62nymVbLODwslAFJ24WHkU58xQtLi4+m/oxqn6TLxFEiDdkBRH6OsZR2eq4t1iTOcd8FKGo1Fv9AUCW9CKIE//e+fPndyrTaYF6eBFeOsoAR8yfQH9f7hEMx7iqqgl4OgRAEv7qo/87VL2zaSDItLHjJ0qjx0a0ngJ6JvUqOGFxcfHbRZsX1W84avfeTn1Du5ij4S3Wwdp9KBRhKG9jA0B/HDSIEwHZ7j7pO939qUHs/bX1cASb+hnguNdu6jsC/X27V1CK6zZhfig2N24ASEbl7mZpaEt2gYxuqsrl0pnxmtZTQE9loQpO3LgtWhUc1W84KnHzPW7Cx9upgggD+ax7i/WI7T7U81AIAI7uem4vQRwB2aMRwabuOPc8wBH/vajyGPtbo9z3a7idMH/3s+WDAgUlgANAMoa2O6XqmpdMyabTY+OdamVYggzoOVVw0qL6DUdlt+qNt4sH/pnfeYs1PvtGo392w2Ye6gHAYDwuiCMge7SiGuNzzz33fK9COFH1JgIh2oUdre5naUIIB4pJAAeApFQ+2tr5gSwZqVZLkydPqX4D9IUqOGlR/YajMD8/v6XqTTpiHp577rln4+GT0ei9eLgkbAYA6VzbRRAn9qOq3gx8/3moKioxf6reDFaEcCLUZiSgWARwAEhOdX1jpxoOZMWZ8UkXUkBfqYKTBtVv6LeoAhI3yS9fvux+TYLi4ZMb6L0VD5XijWwP9QAgLbEfjSCOqjcDvTY4cBWVqKYZVYtUvUlivzsUgTYjAcXhhg4AyRna7JSG79qTkg2TJ091Ro+NSIwBfaUKThpUv6GfdquAuEmetviuizfBIyxlNA4nwkzxUMlIAAA8ds+0rxBOtJxSTTMtEWjTjgqKQwAHgCQN39kolTe8XEriG6lyuXR6bNxCBY6EKjiDpfoN/aQKSOa+D6IlwBtCOAcT4xYhpggzGQ0AgCeLEE5UtXnSHuv8+fNaTiU8h0I4UAwCOAAkq7q2YRBI2pnxWidCOABHQRWcwVL9hn6JN1RVAcmeqFQkhLN/98I3b2hnAQCwP91rhi9H1czH7bGWlpYMVNpzOPGoOQTywxMjANI9SX2yXap8qBUVaRo9NlKaOHFS9RvgSKmCMxiq39Av0YLHG6rZJYSzPxHQjPHSZg0AYP+iWmZ3L/X8gy+9aGWbLTGHrh8g3wRwAEhaVMEZ2u4YCJLzdO0p4RvgyKmCMxgXL15MuvpNrVYrtVqtX/EJydy62taCJ/uEcPY8Tm9+/etf/44HQwAABxchnPPnz39nd+8Ze6x7gQ6Dk605fMNIQH4J4ACQtAjfVNe1oiItp09NdKqVYckwYCBardZbqR/j/Pz8d/Iy3tGjfXV1NeljvHTp0matVvu+T0d2CN/kS4RK3ER/tHuVbzwYAgDo0d6zez0R7aZ+Yo+VTVFhN1oRGwnIJwEcAJJX+WBrpx0VpKBaGS5Njo5ZkMDA1Ov1F6LdUMrHGH3no21THsZ7cXFxIuXji+o3jUbjZZ+M7BC+yae4iR5zayQ+L97OvveWtsEAAOjhNXd3j/Vle6zsilbEUcHISED+COAAkAnRigpSEK2nymVbKGCwms3m66kf4+Li4rNZH2fVb+g14Zt8i7m9fPnyR0bipyJ8E+25tJ0CAICHXh8+bxQgfzw9AiAbJ6yN7VL1zqaBYKDGjp8ojR4b0XoKGLipqalXUq+CE9Ugsl4FR/UbeimCGcI3+Tc/P388LxXADivacgnfAADAw8VeWYAf8kcAB4DMqNzdLA1tyT4woE1TuVw6M17TVgBIhio4/aX6Db1eTxHMMBLFcP78+Wej+kuRxyCqPUUQEwAAeLTFxcXjRb92gLwRwAEgM4a2O1pRMTCnx8Y71cqwBBiQDFVw+kv1G3ql3W6/efHixQkjURxra2s71V+K+vur9gQAAHu/dlhcXPyekYD8EMABIFMqH23t/MBRGqlWS5MnT6l+AySn1Wr9SgQxUpbFKjhZqH7Tnft11W/SF28yPvfcc88bieKJAOLCwsJGAX/vH6j2BAAAe3f58uXy6urqq0YC8mHYEACQNdX1jdL2SLnUKXupkqNxZnxS+AZIUgQwog3R4uJistd2u1VwZmZmvpaVcU29+s3U1FRpbm6u5hOQvueee+6NeKOxCOr1emk3ENj9++2JiYkv7J/W19fL7XZ752WwCLmlHnTrwXfJ8Ozs7Jvd8XihCGsgAmfRfssnHwAA9n3t8O2rV6++YiQg+wRwAMicoc1OafjuVmlj3GmM/ps8eaozemxE6ykgWdGG6MqVK0k/5I8qODMzM5kYzyxUv2k2m+tWfvrm5+e32u127n6vCIB1P8+ds2fPbnX/+sPu//4f0RLvoP+9aNHV/cyd6/71zM2bN4cjtJcnFy9efP6dd94pxJqPtltFCZwBAEAvLS0tDbVarZdUuoXs8+QSgGyewO5slLZOlEvbVd0U6Z9yuVw6PTau+g2QNFVweiv16jdRZUT1m/QtLS39JMqI5+Q7pjQ7O9uZnp6+0/0M//ZhwjaPWNMvxLru/hmfG7/l5eWfiZvQWQ90RAgrWlF1f6p5XvPd9f5R3sJTjxOh0t1KTxFEu/dZ+fGjqh1FS4Huzzfi77tr+ksROIu/j9BZrPE8hvUAoF/XQ7E/7e5JdwLhj/tnd6svOtemc10R8xe61xabT/rnb9269ek+qQgh7/gdu3vq38/7dQMUgQAOAJlVXdsoffJPRgwEfXNmvNaJEA5A6qIKzvXr199IuXJLFqrgZKH6TavVeteKT1u04bl48eKXs/57RCDmwoUL73X/+swA/uxn4s+/evXqThin+/325e5fMzuWV65cGZ6bm3u11+GlVEQVo/n5+eN5/UzHw6I4f01PT3/c/evbB2kpFnMf1aPu/3w9KIKq3bH8Z7du3Rrp/v1Q3lu0AcCTRFije+7d7p6D/6Z7Hr112Laeu5UXb968+XT3XFsWyjma/VN33v68+7NwmMoucY3Vna+F2Ct15+94BL/zGMrpXvcMLywsWECQcQI4AGRW+ZPtUuXDrdLWaMVg0HOjx0ZKEydOqn4DZELcyIq2RBcvXky2ekvqVXDiht78/HzS1W/iBmYWqggVXfdzmNk2PHGjPCpqzc3NXUklLLIbxokKIouLi9++du3aUNbGNdZD9/vlOzdu3Hglp2v++RyeV3cqP7344ot/fVQhtPh+vz+oGg8Ju+fN565fv37cA0IACnJd++n5t3tO/PVet+J5sPJi7C+759pf7Z5rJ4pUya9fYmwvXLhw4MDyE9bG97v/3fiJF5B27zH8YHl5+ee61wflvIRxIoAdLyAM4iUIoHe80g1ApkUVnKHtjoGg556uPSV8A2RKtCW6/+36FEUVnFSPLUo9p37Trtlsqn6TuLhZmsVKLfGwo7u+Nn/0ox99M0qep1ipJY7p6tWr5e4xvtb9vutkcG3sPCTI25qP1lN5CofEebS7ztbjsxDrbZAPP+LBVaPROPHOO+8MxbqPz2jq53kAOOC1bOfGjRvvvf/++0O7599eh28etb+M6+i3335751zbPe9ux76Y/e2dWq3WxzF+sWeJvUuvwzePEuHl7p9dubdu1lOvuLtXUf3TyoJsE8ABINMifFNd3zAQ9NTpUxOdamVYsgvInFar9V7KxxdvFUabp9SOK6rfRIuYlMcu3tJU/SZtWW09dX/w5igedBzWbhDnnXfeeSvess2SlEOIB3GvKlEuWk/FA5t48Nf9LAzFg7jUPgux7uMzGseXpwdMABTXbgD8/fffH3jodfdcG2GO2BfHcQniPHnv9Pbbb78be5MI3Qw6wL8bpIpjyvo+KYL7cW1plUF2CeAAkHmVD7Z22lFBL1Qrw6XJ0TELCsikuGmZ+s2mxcXF5No8ZaH6TavVes0KL6W+tr+XpdLn8V0RIZasBG8eFG/Wxlu28YAkK8e824ovL2s+2mplvdz/bsWbeGCTlVL/eXrABEDxRLAlzr1RtSTFfWgcTxxXd5/52m6rKj53z6EU1W5iL5LiCyJxTHFsscayHKJaWlr6rtUG2SWAA0AuRCsq6IVoPVUu2yIB2ZV6m6LoaZ5SFZwsVL+JkuwptgTiM+12+83Lly+XM/Q9sRk3po+qPHw/3XtA8lZWWvPkpQpOBImy2G7twc9Bd+18MwItWTz+3QdMUblHayoAUnd/y9MsnHvj+qt7jt05z6qG81nFmxiTLFybxhqLtZbVENXy8vKEbw3ILk+XAMjHCW1ju1S9s2kgOJSx4ydKo8dGtJ4CMi0eyKmCs3epV7+5d6P6dSs7bfPz889n4ThjPe1WvcnT+N+rhvPNLLSkyksVnCwHiWKdZLn604Oick+s/yxVgwKgcNeoce59LYvn3nvn2dey1vq0l9cPu9UCs9YSOdZaBIZardbHWRt3bagg2wRwAMiNyt3N0tCW7AQH3BSVy6Uz4zWtp4BcaLVab6V8fKlUwclC9ZtLly5tqn6TtqWlpZ9EqCJ18dAg3gLNQ9Wbh4kb7G+//Xa8UZ38BUHWq+DE93cW1vzDxPqIdZK3z8F97TLeUg0HgITOT5+GN7J8TRPHHvuHorWkutduKrPVAnc1Go0TWaxk1N1v/5ZvEcgmARwAcmNou6MVFQd2emy8U60MS3ABuRAPFlN/CJ1CFZwsVL9pNBovW9Fpm5+f/3Lqx3ivZPw381Dt4wmfme9fvXq1nPr3X9ar4KRUxWw/4gFgrI88fw52q0FlIYgGQO6vSXeq3mQ9vHH/PjOqqRTlHBtVY+L3zcu+KSoZda+H3spSCGd5eflnfJNANgngAJArlY+2dn5gP0aq1dLkyVOq3wC5knrbokFXwclK9Zu8ByayLtZwrOWU3av4MVSktRQhi9TfUL5+/frPW/NHIx60xFvPeXkAuIffdyeIFoEj39IADGr/+c477wzlsZJnnGNTb/l82H1TVNSLqjF5+90iqBwhnKwc78rKypBvE8gmARwAcqe6vrFTDQf26sz4pPANkDtxs7PRaCT9/TbIKgqpV7+JFiKq36Qv9Uog8XAgHhIUcW66v3e0GUr2+K5duzYUQUBrvr/iIVI8aIm3nov2GYjAUfd3fzdr7RYAyLaonJL3/eeNGzeS3mce1G7Vory2rL33O76QlZByhN67P6/6VoHsEcABIHeGNjul4buq4LA3kydPdUaPjUhsAbnUbDa/lfKDt0FVwclC9Zvu3K2rfpO21CuBxA30eDhQ1PmJz8+9tlspr6Hfseb7ugZ2wjd5foj0JDMzM1/LWrsFALIrgg15rJzysH1m93fN1fk1rh1i75zHqkUPipBy6i8r7VpZWflV3yyQPQI4AOTS8J2NUnlDUROesBEql0unx8YtFCC34sZgtDFK+RgHUU0hC9VvitIqJctSrgRyL3jwzaKHuOL3v3HjxrupHt+VK1eOZ2k8r1+/nqnqN0UP3+zabbcghANAP0X4pkjXMHF+bTabH+fkdynctUOr1apkoYrRrVu3Tvl2gewRwAEgt6prGwaBxzozXutECAcgz6KNkSo4n/vzXk29+k2r1XrPyk3bysrKD1KuBHLvYbsKSqWfVgBJ9Q3XWEPtdvvNLIxjHGd33Wdm3uMhoPDNZ3ZDOEYCgH6dd4v4AkFU+4mWrxnfIxQ2uB9VjDKwB3fjGjLIBxeA/J7kPtkuVT7UioqHGz02Upo4cVL1GyD34kZa6m/mHWUlke6f9e2Uq9/EDdzZ2dlnrNy0Xbly5dlUj637ed8UPPjCmHwrKkslupZ+KSNr/pcyNN+bqoh9UXwvtFqtj40EAL0UQecin3e759bMBlzjRZ0bN268VtTgfuyNumu3k/IxZikAD3xGAAeAXIsqOEPbHQPBFzxde0r4BiiMeDMv1YfPIapALCwsbBzBn/PqtWvXhlKeq2az+a4Vm7ZYR0tLS0keWwS4up+lqln6vHiokGplqe5aGkp9/NbW1l5K/bvTZ2Dv+4Gsv6kPQFrn3WjlU+QxyEKI41GiVevU1NQrRZ6/7vX366kfY1YqZgKfEcABINcifFNd14qKzzt9aqJTrQxLZgGF0mw211M+vmgLFQ95+/lnRPWblMcgbmBHuxyrNW3dtTqf6rFl+Q3cfovKUikGD6Ii19LS0k9SHrtr1679Thbm+N5b3N+02h/v6tWrrxkFAHpx3nVO+fRa+/WsHXNULnLtWSpFACn1ANXq6uo5nzLIFgEcAHKv8sHWTjsqCNXKcGlydMyCAAonyoJHf/dUxUPoy5cv/36//vtZqH4jPJEN3XWU5L0Uraf2NEZJVphaXl7+mZTH7fr168ezML/xFndRWyjsRxYeNAGQvkuXLm0WvXrK/efW2dnZzBxvhKeiRauZ+3Qt/0HKx9dut8+YJcgWARwACiFaUUGI1lPlsi0QUEytVivp9kb9rIKTevWbeBgqPJG+qFQSYbHUxE30RqPxshl6vHjLN8UqOCsrK8mGA6Pkffcn+bmN71Bvce9d6g+aAEibvecXXbhw4b2sHGuz2fxYaPkzcR2ecsvu27dvV8wSZIunTwAU44S3sV2q3tk0EAU3dvxEafTYiLc9gcJK9eHzrn5VwclC9Zssli0volQrlcQbyG6i782FCxeSa8fX/Y7aCbqkOF7Xr1//l6nPaTwEbLVav2J1713qD5oASJu95xdFu9PYk2Rh3zQ3N/evzdgX1vTHqR5b91phyAxBtgjgAFAYlbubpaEt2YvCbnrK5dKZ8ZrWU0DhpdqCZVc/quCkXv2m0WhsK9+evliXKQa54ib6wsJC1QztTbTjS/HhyMrKynMpjtfS0lLy9w69xX0ws7Ozro0AOOh+6opReOi5tZOFY7Rv+qKZmZm3Uz22LFSjBD5PAAeAwhja7mhFVWCnx8Y71cqwBBZQeFEFJ+X+9L2ugpN69ZsIAjSbzW9ZmelbWlr6borHFW8gm539mZubSy54sLy8fDy1Y4qqPFGdJ2VRxaXRaJywqvdvenr6b4wCAAc593p54OFefPHFv87A+f+OmfqilKsDptgCGXg8ARwACqXy0dbOD8UyUq2WJk+e8oYnwD2tVuu1lI+vl1VwUq9+o3x7dty8eXM8xeNqNBovm539uXDhwh+mdkwrKyvJjdPS0tIvpj6XzWZz3Yo+mJmZmV83CgAc4Pzh5bZHiDZUGZi/3zZT2Vvb8WKRGYLsEMABoHCq6xs71XAojjPjk8I3APeJNxbn5uaSPRn2qgpOFqrfCE9kx9LSUnJrKT7HAlz7F2+4JtqG6gcpHc/y8vJw4ueynZZiVvSBz0G+OwDYt3Pnzn1iFB5tZmYm5XO/6kUZXdurq6vfMEOQHQI4ABTO0GanNHxXFZyimDx5qjN6bETiCuABzWbz9RQfQO/qRRWc1KvfdOfgYw9AsyGCESmW/r5w4cL/MTsHMzs720lwnX01lWOJ7992u536eUz1m0NK+SEhAGmq1+t/bhQeOz7bCR+bCbK2gSMggANAIQ3f2SiVNxRFyf1Gp1wunR4bN9EADxFvvkX7o1SP77BVcNrt9pspV7+Jyg2NRuOElZgNy8vLP5fiGpqZmfma2TmYFN9wvXXrVjIVZ5aWlr6b+DlM9RsAGIBarfZjo/DYPeb/S3juTNBjpHxtlVJQH3gyARwACqu6tmEQcu7MeK0TIRwAHi7aH+W1Cs78/PzzKY+9yg3ZsrKyktyGYnZ2Vsj4EFJ8wzWlijM3b94cT3n+Lly4sGkV9+Rz4HsEgP2eO14wCo82NTX1l6ke27lz5+yfnjx/BgE4NE+kACjuSfCT7VLlQ62o8mr02Ehp4sRJN5QBHiPaH6VeBWdxcfF7+/33ol1Q9yfZcY/S3yo3ZEeqrXimp6f/xuwcXIpvuK6urpYO23qvV7rfoUMpz1/3O/SKVXx4ExMTrpcAoLfXegtGIbsEcIBeEMABoNCiCs7QdsdA5NDTtafcTAbYg6iCk/JNpsuXL5dXV1df3c+/s7i4+GzKY95qtd618rJjZWXlt1I8rtnZ2WfMzuGk+N3XbrcXBn0M8Z0bYaBUddf+ThtFKxgASE285GIUMn19kOSDgvX1dc/zIUN8YAEotAjfVNe1osqb06cmOtXKsGQVwB7EDcLU2yEtLi5+e6//bOrVb2ZmZpLuLc8X3bx58+kU1xGHl2IAp/v99dVBH0O73f5XKc/biy++qIUfAGCPSc+dPXs2yXL53f255/mQIT6wABRe5YOtnXZU5EO1MlyaHB0zoQD7EO2QUr5JeO3ataG9VsFJvfpNs9lU/SZjUrzZOT09vWlmDq9WS68T3O3btyuDPoYUQ2f3m52d/bdWLwAcPcGSbI9TvV7/W7MD0H8COABQ+mkrKvIhWk+Vy7Y4APvVarXeS/n49lIFJ/XqN9E2RfWb7ElxTXXX0Q/NzOGdO3cuuSDT6urq0KCPIeU3bON7VGsHABgMAZxs6+6h/t4oPJ6QEtALnk4BQJwQN7ZL1TteJM66seMnSqPHRrSeAjiA2dnZZ1Jua7OXKjipV79ptVqvWWnZ0m6330zxuOr1+oLZyacUAl8pBxmnp6c/tkoAAOgHISWgFwRwAOCeyt3N0tCW7EZmNzXlcunMeE3rKYBDSL090uOq4KRe/WZubq4zNTX1ilWWLe12+1+keFwqgOTb2traS4P6s/fa7m9QZmdn/7MV0jvd89IHRgEAAKB3hg0BAPzU0HZnpxXVP37pmMHIoNNj451qZViCCuAQoj1S96eTapAlquA0m81XHxZkSbn6Ta1Wi3DT61ZY9ty6detUise1sLCwoQ3V4aytrX1peXk5yfti7XZ7oTu/AwlZra6ufiPVOYu2F4KMPR/Tv+z+5VkjAQAA0BsCOABwn8pHWzs/WycqBiNDRqrV0uTJU6rfAPRAq9V66+tf//rzqR5fVMG5evXq5x7Apl795tKlS5seGmdTu90uJ/o5GE695RoHt7q6+rOD+rO736VfTXVcIiBqdQAAAJAyLagA4AHV9Y2dajhkx5nxSeEbgB6p1+svRLukVI8vquA82CIl9eo3jUbjZSsrm9rttkHgyHW/404O6s++fft2sm8iTE9P37E6AAAASJkADgA8YGizUxq+u2UgMmLy5KnO6LERiSmAHkq9XVJUwdn9+yxUv6nVat+3qrJpbW3NIHDk1tfXB3a/bnV1dSjVcanX639idQAAAJAyARwAeIjhOxul8oaiKslvZMrl0umxcRMF0GPRLqnRaCT7/Xp/FZyLFy8+m/A4qn6TYRHuMgoMwiBbn6Vc9SkqtFkdAAAApEwABwAeobq2YRASd2a81okQDgC912w2vxXtk1I1Pz//nWvXrq2trq6mPIbrqt8AWZJq1aeZmRmTAwAAQPI8sQKAR50kP9kuVT7UiipVo8dGShMnTqp+A9AnERyJ9kmpHt/S0lJUv5lI9fii+s3c3FzNSsqulZWVrxoFBmFQIZh2u/1mwt+pWs4CAACQPAEcAHiMqIIztO1eb4qerj0lfAPQZ9E+KeUqOClrtVrvGQXgIAbVBmptbe0rqY7J2bNnvRkBAABA8gRwAOAxInxTXdeKKjWnT010qpVhySiAPosqOM1m82MjsT/RKmV2dvYZI5Ftt27dGjYKFMna2tqXUj22er3+t2YIAACA1AngAMATVD7Y2mlHRRqqleHS5OiYCQE4Io1G40S0U2Lvms3mu0Yh+wbVBggGpd1un0n12Gq12t+bIQAAAFIngAMAexCtqEhDtJ4ql21hAI5Ss9lcNwp7E9Vvuj9fMxLAYayurr5qFD5Tr9cXjAIAAACp8/QKAPZywtzYLlXvbBqIARs7fqI0emxE6ymAIzY3N1er1+sGYg9ardZbRiEfVlZWDAIDs7q6+g2j8JloiWgUAAAASJ0ADgDsUeXuZmloS/ZjYJuWcrl0Zrym9RTAgLRaLW2VnmBubq5Tr9dfMBJAFt28eXM4xeOq1WomBwAAgEwQwAGAPRra7mhFNUCnx8Y71cqwBBTAgERbpWivxKM1m83XjQJAb6nABgAAQFYI4ADAPlQ+2tr54WiNVKulyZOnVL8BGLBms6kKziM0Go3tqampV4wEAAAAABSTAA4A7FN1fWOnGg5H58z4pPANQAKiCs7s7KyBeEC0R2k2m98yEvmxtrb2klEAAAAAYD8EcABgn4Y2O6Xhu6rgHJXJk6c6o8dGJJ4AEtFqtV4zCp936dKlzVqt9n0jkR/tdnvBKAAAAACwHwI4AHAAw3c2SuUNRVn6vlEpl0unx8YNNEBCos3S3NycYOQ9Uf2m0Wi8bCQA+mN6enrTKAAAAJAFAjgAcEDVtQ2D0GdnxmudCOEAkJZms/l6BE/YGYuPVb8BAAAAADzRAoCDnkQ/2S5VPtSKql9Gj42UJk6cVP0GIEFRBSfaLhmHqah+c8KKAAAAAAAEcADgEKIKztC2Lhz98HTtKeEbgIRF26WiV8FpNpvrVgIAAAAAEARwAOAQInxTXdeKqtdOn5roVCvDkk0ACYu2S0WuglOv10tzc3P6cAEAAAAAOwRwAHJkYvhE92dUaOGIVT7Y2mlHRW9UK8OlydExAwqQAVEFJ9owFVGr1XrXCgAAAAAAdgngAOTIz4/+063/Xf9Pv/Dvv/LLfyWIc7SiFRW9Ea2nymVbFIAsiCo4RWzDNDMzEz9fswIA+u/27dsVowAAAEAWeLoFkDMTw6P/6z985Zd/VhDniE+oG9ul6p1NA3FIY8dPlEaPjVizABkSbZiKVgWn2WyqfpNztVrtx0YB0rC6ujpkFAAAAMgCARyAnBLEOXqVu5uloS3DfOBNSblcOjNe03oKIINardZ7RfldZ2dnVb8pgHq9/oJRYMBrcMEoAAAAQLYI4ADknCDO0Rna7mhFdQinx8Y71cqw9QmQQbOzs89EW6YiaLVar5lxoJ9qtdpOiz8jAQAAANkigANQEII4R6Py0dbOD/szUq2WJk+eUv0GIMOK0JZpbm6uMzU19YrZBvqpKIFGAAAAyBsBHICCEcTpv+r6xk41HPbuzPik8A1AxkVbpjw/NI6KFM1m83UzDfTbpUuXBhJonJ6e3kxxPNrttkUBAABAJgjgABSUIE7/DG12SsN3VcHZq8mTpzqjx0asP4AcaLVab+X1d7t06dKm6jfF0p1vg8CRuhf024xAo9H4zNramkEAAAAgEwRwAApOEKc/hu9slMobiro8cSNSLpdOj40bKICcqNfrL0Sbprz9XvFQvNFovGyGiyXFAM7s7Gyp0+kM+cnnz/vvvz+0sLBQ9en7orW1tZeMAgAAAKkTwAFghyBO71XXNgzCE5wZr3UihANAfuSxTVNUv6nVat83uwzauXPnNo0C/TI1NfVBqsfWbrcXzBAAAACp88QLgM8RxOnhSfaT7VLlQ62oHmX02Ehp4sRJ1W8AcibaNDUaje0c/T6q3xR3LSe3D759+3bFzNDHNf+XRgEAAAAOTgAHgIcSxOmNqIIztG3oHubp2lPCNwA51Ww2vxVtm3Lyu6yrflNMZ8+eTS5Jvbq6OmRmKKKVlZWvGgUAAABSJ4ADwGMJ4hxOhG+q61pRPej0qYlOtTJsLQHkVARWom1T1n+PqH4zNzdXM6OkYnV11SDQN/V6fSHVY1tfX3cPEwAAgOS5eAVgTwRxDq7ywdZOOyp+qloZLk2OjhkQgJyLtk1Zr4LTarXeM5PFNTMz88PUjkkAh35KudpXu912DxMAAIDkuXgFYF8EcQ4mWlHxU9F6qly2BQHIu3iQ22w2P87q8c/MzJRmZ2efMZOkZmVl5QdGgX6Jyl8parfbJgcAAIDkefoFwIEI4uzzhLuxXare2Sz8OIwdP1EaPTZirQAURKPROJHqw9wnaTab75rBYpuZmflaise1urr6s2aHfkn1O3ttbS1+XjJDAAAApEwAB4BDEcTZu8rdzdLQVnGHJ6renBmvaT0FUDDNZnM9a8cc1W9SDV9wtFJso3br1q1TZoZ+mZqaSvaCpd1uL5ghAAAAUiaAA0BPCOI82dB2p9CtqE6PjXeqlWHrAqBg5ubmavV6PVPH3Gq13jJzhBTXbrvddi+Hvjl79uxWqse2srLyVTMEAABAyty0AaCnBHEer/LR1s5P0YxUq6XJk6dUvwEoqFarlZl2TnNzc516vf6CWSN010Jy+5eVlRUTQ9/MzMz8MNVju3nz5rAZAgAAIGUCOAD0hSDOo1XXN3aq4RTJmfFJ4RuAAot2TtHWKQuazebrZoxdZ8+e/ccUj2tlZeUHZod+qNVqP0712NrttgkCAAAgaQI4APSVIM4XDW12SsN3i1MFZ/Lkqc7osREBLICCazabyVfBaTQa21NTU6+YLXbV6/U/T/G4tOKhj2s+2Qpga2trEcJ50ywBAACQKgEcAI6EIM7nDd/ZKJU38l8Uplwul06Pjat+A8BOFZzZ2dlkj69Wq0VI6FtmigfXbYrHtby8rBUP/Vz3yR7b0tLSL5oh4CgI/AEAcBACOAAcKUGcz1TXNnL/O54Zr3UihAMAodVqvZbqsV26dGmzVqt93yzxoHq9ntwxRSue1dXVV80O/TA1NZXsNZrwWW+tra19ySjAIz8fXzEKAADslydiAAyEIE73JPzJdqnyYX5bUY0eGylNnDip+g0An4r2TnNzc8md86P6TaPReNkM8TD1ej3JferKysqvmh364dy5c5+kemwRPltbW3vJLPVsPM8YBQAAgN4RwAFgoIoexIkqOEPb+fyVn649JXwDwBc0m83XI/CS2DF9rPoNjzI9PX0nxeO6fv36hNmhH2ZmZt5O+fiWlpa+a5YAAABIkQAOAEkoahAnwjfV9fy1ojp9aqJTrQx3rGwAHhRVcKLdU0LHE9VvTpgZHqVer/9Jise1srKiDRX9WvMvpHx8wmeQLzMzM0keV/cc+7NmBwCA/RLAASApRQziVD7Y2mlHlRfVynBpcnRM9RsAHinaPaVSBafZbK6bER4nwgipVW3ade3atUtmiH5I9YF4ED4DjkL3e+akUQAAYL8EcABIUtGCONGKKi+i9VS5bIsBwKNFu6cUquDU6/XS3NxczYzwJKmGEa5fvz5sduiH6enpzZSPT/gM6Lf19XU3Ng5gbW3tS0YBACiy/y8Ae/cXG9d1J3Z8hn8k6//If5Ss7a1ptM4izcYaYbtIkz5ovGh310YXoqxmgxQtRAXZTYFgI7JyWxR9IAnsW+2MhEUekl2AMhaINwhs0kgRt3kIpZcC+xCLsrsbNHkwvZsYgYMikuPE9pLi9P5oTswwkkXOmSHvvfP5AIOxYke6c+bOnaHOd87xIRKAXOuXEGdgaaUy/MZy4R/H/jv2VPbu2m3rKQBuK1bBie2fdlKz2XzZM8FmnDhxIpcrJS0uLkaIcM0zRLc1Go3v5vn4xGfdITCAW1tYWPD66GzcjhgFAKCf+RAJQCH0Q4gz+OZypXqjuA8rVr05crBm6ykANiVWwdnJ7Z9iRZPs9rBngk2eL3+R12N7+umnD3mG6ME5n+vro/isOwQG5EG9Xs/l3yPEdQYAALbKD1kAFEqZQ5zqSqvQW1Hdvf9ga3hwyOo3AGxabP+0U6vgTE5OWv2GTcvO0ydiy7I8unTpUtxe8izRbXndeq1NfJZOYEAeHDp0SIBTIpcvX7ZCGQDQ1wQ4ABRSWUOcwbdurN6KZvfwcOXwvgNWvwFgy5rN5mvb/WeOjo5a/YYty86Z3H7WmZ6e/qhniG47ceLE23k+PvFZmmvXrj0uMIDbXmdcY7bIdQUA6HcCHAAKrYwhzvD1pdXVcIrkyMHD4hsAOjI6Onrfdq+y0Gw2nzLybNXp06f/V16PLUKEubm5H3qW6PL1+Ut5P0bxWdJ148+MAnlQr9dfz/Hr5MOeoc1bXFx8UoADAPQ7AQ4ApVCmEKe63KoMvVmcVXAO7zvQ2rtrt62nAOjYdm4HNTY21orthIw6W1Wv1x/bqS3TNmNiYuJezxLdFNfKPJ/zQXzWueeff/7XjAJ5UKvV/l9ej+3q1au2U9qC7Hr8eaMAAPQ7AQ4ApVKWEGfojaXKwFL+F5UZGBio3L3/oNVvAEgS20Ftxyo4tVotYp8vGnE6NTo6mtvPPfGN86mpqSXPEv1yzreJz7Yutp+6ePFi1UiQByMjI9/K67HNzc15grbgwoULdxgFAKDfCXAAKKUyhDjD1/I/f3LkYK0VEQ4ApGo2my/0+s84e/bsstVvSDyHmnk+vunp6aGFhYVveqboljxvvdYmPtu68+fPf80okBd5/2xmla3NuXjx4jXbTwEACHAAKLkihzgD76xUBn+e362o9u7aXTm0Z5/VbwDoitjeJ7aH6tXvH6vfjI+Pf8pIkyImCbNzNdfHeObMmUc9U3Tz2pz3baiC+GzzFhcXn7xw4YJtdcjbtSa3x2a7ttuLVbWy6/AhIwEAIMABoE8UNcSJVXCqK/k81A/W7hTfANBVsT1UhDK9EKvfZL/3c0aZLpxL1/N8fAsLC7Elzw3PFN1y+vTp5SIcp/hs0+N07tq1awaCXMlz6BfbtUVg4lm6tenp6a9b/QYA4F0CHAD6StFCnIhvhq/nbzX1uw8cag0PDrWcUQB0U6wu0mw2ux43xLeqp6amho0w3TA6OvqZXoVi3XL+/PmB2ArCs0U3jI2NXSjCcUZ8Ziuq9xfjc+nSJQNB7hw9ejTXoZ9t224tPm/E5w4jAQDwLh+MAOhLRQpxBn92Y3U7qrwYHhyqHN673+o3APTE2NhYbXZ29rVufRM6trWan58/ZWTpllhJaXR0NPch8sTExCFb8vTepUuXXjp58mTrkUceaZV15aGIIxuNRiGONbaiiufEmfmrYpI8xsdIkEf1ev31PB9fbNtmFZxfFZ8z4vOGkQAAeI8fugDoa+0Q53Mf/J3f/vKPvv3sV3707fuvL/+8mrfjjK2o3vnA7lwcS2w9NTCg4QWgd0ZHR+/LbpXFxcUns9vvdvJ71Gq1H9Tr9ceMJr0Q26VdvHjxXJ6PMbaYeeSRRx6dn5//ptdC98X1KbbyWb+aSPbP8SH5RrPZHCzb4z19+vT17PEVYpL15MmTH3Xe/7KIb7Lz1SQ5uZW9Xp/J7nL7vhrvqbEKjhUV3xPxTXzOsKUdAMAvE+AAQCX/Ic7A0kpl+I3lytLBnX3r3n/HnsreXbttPQXAtohVF7q1Eg50+9xsNBrn8r6VS0yKnTlzJiKcx2PlHs9cV8b08enp6a/faruN+N/Pnj37ZJwjZXrcsTrZxMREqwgTrc77Xya+oSjvq9nr9VyerzGxCk52LSzd9b0T4hsAgFvz9XUAWCfPW1MNvrlcqd7YucOJVW+OHKzZegoAoLK6Cs7LRTjOhYWFWAnnWVtnpInxm5qaWnrwwQefvVV80zYxMXGujGNw9uzZ5aIcq/P+XeIbiqRer+f9fSDivnP9/jyJbwAA3p8ABwBuIo8hTnWltboV1U65e//B1vDgkNVvAAAyjUbj4exWiGONGCHCkZg088xtXUQMx44de3Z6enpoMxOOc3NzsR3VS2Ubh7GxsQtFOt5+j3AiGBPfUCTHjx/PfeQXK9+dP3/+rT5/PxTfAAC8DwEOALyPvIU4g2/dWL1tt93Dw5XD+w5Y/QYAYJ2irIITYrIsvrFexjCkV2Ki8cEHH2xFxLC4uLil/+/09PRHyzYese3K2NhYoYL8foxw4rFm5+xKBGNexRRJo9H4bhGOc2Ji4o5+DFqzx31D1AcAcHsCHADYhDyFOMPXl1ZXw9lORw4eFt8AAGxQpFVwwlqE89F+/vb+ZqSEN22xSkIZY6fJyckvFu2Y2xFOP0yYr20N82x2Dle9kinie2qtVivEsUbQ2i8RTkR92eNt3W77RQAA3uVDEwBsQR5CnOpyqzL05vatgnN434HW3l27bT0FAHATRVoFpy2+vX/y5MlWv27NczMxFhEmpYY361kFJz/WIpxH5+bmfljWczjCsbUowAuawipK1NpeVa7sEU6EpLGFZUSlAABsjgAHADqw0yHO0BtLlYGl3i9KMzAwULl7/0Gr3wAA3EJ8Y390dLRwxz03N1eJSbUyBwmbsbi4+OTU1NRSjEWESd0Ib9piwjKiiLKNWRFXwQkxYX7y5Ml7YxuVsp3DEdRFOBaPEYrsxIkT14t0TSlrhBNRalwrY9U81xUAgK0R4ABAgp0McYavLfX8zzhysNaKCAcAgFtrNptPFfG420FCbC0Rk/j99JzFt/rPnDmz8uCDD56bnp4e6tUEY/Z7Hyrb2BV1FZy22Ebl2LFjrTJMmseqTdljORdBHZTB6OjoZ4r2PhoRTpliy7VtGJ+15RQAQGd8iAKALtiJEGfgnZXK4M979+XNvbt2Vw7t2Wf1GwCA24ggYXJycrmoxx8rtUSIEt92L/O2VBEZtbeZim/1X7x4sboNf2ZpV8Gp1WqFPf7YpunYsWOPFvWcX9sWphWrNlmdgjLJrivPFW1VuXgNxgpURd/aMa4rEeRaTQsAII0ABwC6aLtDnFgFp7rSmz/ig7U7xTcAAJs0Pj7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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Click on the medium logo to check my other articles that might help you excel in your data science career.\n",
    "\n",
    "\n",
    "\n",
    "__[![download%20%282%29.png](attachment:download%20%282%29.png)](https://medium.com/@maladeep.upadhaya)__\n"
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