sales.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "critical-transcription",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "architectural-hygiene",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel('salesCG201718.xls',header=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "personal-proportion",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>daily sale</th>\n",
       "      <th>P1</th>\n",
       "      <th>P2</th>\n",
       "      <th>P1.1</th>\n",
       "      <th>P2.1</th>\n",
       "      <th>P1.2</th>\n",
       "      <th>P2.2</th>\n",
       "      <th>P1.3</th>\n",
       "      <th>P2.3</th>\n",
       "      <th>P1.4</th>\n",
       "      <th>...</th>\n",
       "      <th>P1.15</th>\n",
       "      <th>P2.15</th>\n",
       "      <th>P1.16</th>\n",
       "      <th>P2.16</th>\n",
       "      <th>P1.17</th>\n",
       "      <th>P2.17</th>\n",
       "      <th>P1.18</th>\n",
       "      <th>P2.18</th>\n",
       "      <th>P1.19</th>\n",
       "      <th>P2.19</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2015-01-01</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015-01-02</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>11.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-01-03</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NaT</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>...</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",
       "      <th>4</th>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2015-01-06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
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       "      <td>13.0</td>\n",
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       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2015-01-07</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2015-01-08</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2015-01-09</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2015-01-10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 41 columns</p>\n",
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      ],
      "text/plain": [
       "  daily sale   P1    P2  P1.1  P2.1  P1.2  P2.2  P1.3  P2.3  P1.4  ...  P1.15  \\\n",
       "0 2015-01-01  3.0   6.0   2.0   7.0   1.0   1.0   1.0  12.0   1.0  ...    9.0   \n",
       "1 2015-01-02  2.0   3.0   1.0   8.0   4.0   3.0   4.0   9.0   4.0  ...    5.0   \n",
       "2 2015-01-03  1.0   9.0   2.0   7.0   4.0  14.0   1.0   3.0   1.0  ...    7.0   \n",
       "3        NaT  NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN  ...    NaN   \n",
       "4 2015-01-05  3.0   8.0   1.0   3.0   4.0   4.0   2.0  12.0   3.0  ...    8.0   \n",
       "5 2015-01-06  0.0   5.0   2.0   6.0   0.0   5.0   2.0  13.0   3.0  ...    8.0   \n",
       "6 2015-01-07  3.0   9.0   1.0   9.0   1.0   6.0   5.0   4.0   4.0  ...    8.0   \n",
       "7 2015-01-08  1.0  11.0   3.0   6.0   2.0  10.0   3.0   7.0   1.0  ...   10.0   \n",
       "8 2015-01-09  3.0   1.0   2.0   0.0   2.0  12.0   0.0  14.0   3.0  ...    2.0   \n",
       "9 2015-01-10  4.0   4.0   1.0   2.0   2.0   7.0   0.0   3.0   2.0  ...    6.0   \n",
       "\n",
       "   P2.15  P1.16  P2.16  P1.17  P2.17  P1.18  P2.18  P1.19  P2.19  \n",
       "0    5.0    2.0    0.0    1.0    9.0    1.0    1.0    4.0   12.0  \n",
       "1    9.0    2.0   11.0    2.0    1.0    1.0   10.0    1.0   12.0  \n",
       "2   10.0    5.0    8.0    4.0   12.0    2.0    6.0    4.0    3.0  \n",
       "3    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN    NaN  \n",
       "4    7.0    6.0    6.0    3.0   15.0    4.0    1.0    0.0    0.0  \n",
       "5    7.0    6.0    8.0    1.0   10.0    3.0    2.0    3.0    3.0  \n",
       "6    3.0    1.0   12.0    5.0    3.0    3.0   10.0    5.0   13.0  \n",
       "7   19.0    4.0    1.0    0.0   12.0    3.0    8.0    2.0   14.0  \n",
       "8    2.0    2.0   12.0    0.0   10.0    0.0    6.0    3.0   13.0  \n",
       "9    7.0    3.0    2.0    2.0    5.0    4.0    9.0    0.0    9.0  \n",
       "\n",
       "[10 rows x 41 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "artificial-malta",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0]['daily sale'].month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dirty-labor",
   "metadata": {},
   "outputs": [],
   "source": [
    "def getmonth(x):\n",
    "    return int(x['daily sale'].month)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "hidden-running",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['month'] = df.dropna().apply(getmonth,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "addressed-bradford",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df.groupby('month').mean()\n",
    "df2.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "conservative-league",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2['month'] = pd.to_numeric(df2['month'], downcast='integer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "potential-dress",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>month</th>\n",
       "      <th>P1</th>\n",
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       "      <th>P1.1</th>\n",
       "      <th>P2.1</th>\n",
       "      <th>P1.2</th>\n",
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       "      <th>P2.15</th>\n",
       "      <th>P1.16</th>\n",
       "      <th>P2.16</th>\n",
       "      <th>P1.17</th>\n",
       "      <th>P2.17</th>\n",
       "      <th>P1.18</th>\n",
       "      <th>P2.18</th>\n",
       "      <th>P1.19</th>\n",
       "      <th>P2.19</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1.814815</td>\n",
       "      <td>6.185185</td>\n",
       "      <td>1.888889</td>\n",
       "      <td>5.777778</td>\n",
       "      <td>2.555556</td>\n",
       "      <td>6.555556</td>\n",
       "      <td>2.407407</td>\n",
       "      <td>8.037037</td>\n",
       "      <td>2.111111</td>\n",
       "      <td>...</td>\n",
       "      <td>6.148148</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>4.074074</td>\n",
       "      <td>10.629630</td>\n",
       "      <td>2.407407</td>\n",
       "      <td>7.518519</td>\n",
       "      <td>1.851852</td>\n",
       "      <td>6.037037</td>\n",
       "      <td>2.370370</td>\n",
       "      <td>7.518519</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>3.416667</td>\n",
       "      <td>3.833333</td>\n",
       "      <td>3.083333</td>\n",
       "      <td>4.125000</td>\n",
       "      <td>5.208333</td>\n",
       "      <td>4.875000</td>\n",
       "      <td>4.291667</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.166667</td>\n",
       "      <td>...</td>\n",
       "      <td>11.083333</td>\n",
       "      <td>9.333333</td>\n",
       "      <td>6.125000</td>\n",
       "      <td>5.250000</td>\n",
       "      <td>4.250000</td>\n",
       "      <td>4.791667</td>\n",
       "      <td>4.125000</td>\n",
       "      <td>3.375000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.958333</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>4.538462</td>\n",
       "      <td>1.653846</td>\n",
       "      <td>4.769231</td>\n",
       "      <td>2.153846</td>\n",
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       "      <td>3.038462</td>\n",
       "      <td>7.115385</td>\n",
       "      <td>3.192308</td>\n",
       "      <td>6.384615</td>\n",
       "      <td>...</td>\n",
       "      <td>14.807692</td>\n",
       "      <td>5.115385</td>\n",
       "      <td>8.923077</td>\n",
       "      <td>3.846154</td>\n",
       "      <td>7.153846</td>\n",
       "      <td>2.653846</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>2.269231</td>\n",
       "      <td>8.115385</td>\n",
       "      <td>2.730769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>7.115385</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.307692</td>\n",
       "      <td>1.076923</td>\n",
       "      <td>9.346154</td>\n",
       "      <td>1.461538</td>\n",
       "      <td>7.807692</td>\n",
       "      <td>1.423077</td>\n",
       "      <td>5.884615</td>\n",
       "      <td>...</td>\n",
       "      <td>18.269231</td>\n",
       "      <td>2.615385</td>\n",
       "      <td>11.423077</td>\n",
       "      <td>1.384615</td>\n",
       "      <td>10.076923</td>\n",
       "      <td>1.653846</td>\n",
       "      <td>5.884615</td>\n",
       "      <td>1.269231</td>\n",
       "      <td>9.923077</td>\n",
       "      <td>1.461538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>7.423077</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.230769</td>\n",
       "      <td>0.038462</td>\n",
       "      <td>9.269231</td>\n",
       "      <td>0.153846</td>\n",
       "      <td>10.115385</td>\n",
       "      <td>0.307692</td>\n",
       "      <td>8.192308</td>\n",
       "      <td>...</td>\n",
       "      <td>18.807692</td>\n",
       "      <td>0.692308</td>\n",
       "      <td>9.615385</td>\n",
       "      <td>0.423077</td>\n",
       "      <td>8.576923</td>\n",
       "      <td>0.230769</td>\n",
       "      <td>7.269231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.423077</td>\n",
       "      <td>0.269231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>6.961538</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.769231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.769231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.769231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.423077</td>\n",
       "      <td>...</td>\n",
       "      <td>17.269231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.538462</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.653846</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.653846</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.346154</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>7.185185</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.814815</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>9.555556</td>\n",
       "      <td>0.259259</td>\n",
       "      <td>8.222222</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>7.111111</td>\n",
       "      <td>...</td>\n",
       "      <td>19.444444</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.407407</td>\n",
       "      <td>9.259259</td>\n",
       "      <td>0.296296</td>\n",
       "      <td>5.222222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.259259</td>\n",
       "      <td>0.185185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>7.115385</td>\n",
       "      <td>1.115385</td>\n",
       "      <td>7.807692</td>\n",
       "      <td>1.076923</td>\n",
       "      <td>8.615385</td>\n",
       "      <td>1.576923</td>\n",
       "      <td>7.961538</td>\n",
       "      <td>1.538462</td>\n",
       "      <td>8.192308</td>\n",
       "      <td>...</td>\n",
       "      <td>19.500000</td>\n",
       "      <td>2.692308</td>\n",
       "      <td>11.076923</td>\n",
       "      <td>1.653846</td>\n",
       "      <td>8.307692</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.730769</td>\n",
       "      <td>0.884615</td>\n",
       "      <td>9.076923</td>\n",
       "      <td>1.115385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>5.307692</td>\n",
       "      <td>1.923077</td>\n",
       "      <td>4.615385</td>\n",
       "      <td>2.076923</td>\n",
       "      <td>7.576923</td>\n",
       "      <td>2.461538</td>\n",
       "      <td>6.769231</td>\n",
       "      <td>2.884615</td>\n",
       "      <td>4.692308</td>\n",
       "      <td>...</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>6.192308</td>\n",
       "      <td>7.846154</td>\n",
       "      <td>2.846154</td>\n",
       "      <td>6.384615</td>\n",
       "      <td>2.961538</td>\n",
       "      <td>4.576923</td>\n",
       "      <td>2.346154</td>\n",
       "      <td>8.384615</td>\n",
       "      <td>2.615385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>4.111111</td>\n",
       "      <td>3.703704</td>\n",
       "      <td>4.111111</td>\n",
       "      <td>3.666667</td>\n",
       "      <td>5.703704</td>\n",
       "      <td>5.481481</td>\n",
       "      <td>5.037037</td>\n",
       "      <td>3.851852</td>\n",
       "      <td>3.962963</td>\n",
       "      <td>...</td>\n",
       "      <td>8.925926</td>\n",
       "      <td>8.111111</td>\n",
       "      <td>6.185185</td>\n",
       "      <td>4.962963</td>\n",
       "      <td>4.925926</td>\n",
       "      <td>4.629630</td>\n",
       "      <td>3.444444</td>\n",
       "      <td>3.259259</td>\n",
       "      <td>5.407407</td>\n",
       "      <td>4.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>1.920000</td>\n",
       "      <td>4.840000</td>\n",
       "      <td>1.760000</td>\n",
       "      <td>5.960000</td>\n",
       "      <td>2.560000</td>\n",
       "      <td>7.800000</td>\n",
       "      <td>2.280000</td>\n",
       "      <td>7.280000</td>\n",
       "      <td>2.080000</td>\n",
       "      <td>...</td>\n",
       "      <td>5.320000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>3.160000</td>\n",
       "      <td>9.840000</td>\n",
       "      <td>2.560000</td>\n",
       "      <td>8.120000</td>\n",
       "      <td>1.480000</td>\n",
       "      <td>6.320000</td>\n",
       "      <td>1.880000</td>\n",
       "      <td>6.880000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.222222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.629630</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.148148</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>20.074074</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.703704</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.555556</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.185185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    month        P1        P2      P1.1      P2.1      P1.2       P2.2  \\\n",
       "0       1  1.814815  6.185185  1.888889  5.777778  2.555556   6.555556   \n",
       "1       2  3.416667  3.833333  3.083333  4.125000  5.208333   4.875000   \n",
       "2       3  4.538462  1.653846  4.769231  2.153846  6.692308   3.038462   \n",
       "3       4  7.115385  1.000000  6.307692  1.076923  9.346154   1.461538   \n",
       "4       5  7.423077  0.000000  8.230769  0.038462  9.269231   0.153846   \n",
       "5       6  6.961538  0.000000  5.769231  0.000000  8.769231   0.000000   \n",
       "6       7  7.185185  0.000000  6.814815  0.037037  9.555556   0.259259   \n",
       "7       8  7.115385  1.115385  7.807692  1.076923  8.615385   1.576923   \n",
       "8       9  5.307692  1.923077  4.615385  2.076923  7.576923   2.461538   \n",
       "9      10  4.111111  3.703704  4.111111  3.666667  5.703704   5.481481   \n",
       "10     11  1.920000  4.840000  1.760000  5.960000  2.560000   7.800000   \n",
       "11     12  0.000000  6.222222  0.000000  8.629630  0.000000  10.666667   \n",
       "\n",
       "         P1.3       P2.3      P1.4  ...      P1.15      P2.15      P1.16  \\\n",
       "0    2.407407   8.037037  2.111111  ...   6.148148  12.000000   4.074074   \n",
       "1    4.291667   5.000000  4.166667  ...  11.083333   9.333333   6.125000   \n",
       "2    7.115385   3.192308  6.384615  ...  14.807692   5.115385   8.923077   \n",
       "3    7.807692   1.423077  5.884615  ...  18.269231   2.615385  11.423077   \n",
       "4   10.115385   0.307692  8.192308  ...  18.807692   0.692308   9.615385   \n",
       "5    9.769231   0.000000  6.423077  ...  17.269231   0.000000  13.538462   \n",
       "6    8.222222   0.444444  7.111111  ...  19.444444   0.666667  12.000000   \n",
       "7    7.961538   1.538462  8.192308  ...  19.500000   2.692308  11.076923   \n",
       "8    6.769231   2.884615  4.692308  ...  14.000000   6.192308   7.846154   \n",
       "9    5.037037   3.851852  3.962963  ...   8.925926   8.111111   6.185185   \n",
       "10   2.280000   7.280000  2.080000  ...   5.320000  14.000000   3.160000   \n",
       "11   0.000000  10.148148  0.000000  ...   0.000000  20.074074   0.000000   \n",
       "\n",
       "        P2.16      P1.17     P2.17     P1.18     P2.18      P1.19      P2.19  \n",
       "0   10.629630   2.407407  7.518519  1.851852  6.037037   2.370370   7.518519  \n",
       "1    5.250000   4.250000  4.791667  4.125000  3.375000   4.000000   4.958333  \n",
       "2    3.846154   7.153846  2.653846  6.000000  2.269231   8.115385   2.730769  \n",
       "3    1.384615  10.076923  1.653846  5.884615  1.269231   9.923077   1.461538  \n",
       "4    0.423077   8.576923  0.230769  7.269231  0.000000  10.423077   0.269231  \n",
       "5    0.000000   9.653846  0.000000  7.653846  0.000000   8.346154   0.000000  \n",
       "6    0.407407   9.259259  0.296296  5.222222  0.000000   9.259259   0.185185  \n",
       "7    1.653846   8.307692  1.000000  5.730769  0.884615   9.076923   1.115385  \n",
       "8    2.846154   6.384615  2.961538  4.576923  2.346154   8.384615   2.615385  \n",
       "9    4.962963   4.925926  4.629630  3.444444  3.259259   5.407407   4.666667  \n",
       "10   9.840000   2.560000  8.120000  1.480000  6.320000   1.880000   6.880000  \n",
       "11  13.333333   0.000000  7.703704  0.000000  7.555556   0.000000  10.185185  \n",
       "\n",
       "[12 rows x 41 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "compound-seeker",
   "metadata": {},
   "outputs": [],
   "source": [
    "out=df2.astype('int32')\n",
    "out=out.drop(columns=['month'])\n",
    "out.to_excel(\"output.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "least-characterization",
   "metadata": {},
   "outputs": [],
   "source": [
    "x=list(range(0,40,2))\n",
    "y=list(range(1,40,2))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cordless-eligibility",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38]\n",
      "[1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39]\n"
     ]
    }
   ],
   "source": [
    "print(x)\n",
    "print(y)\n",
    "cooler=out.iloc[:, x]\n",
    "heater=out.iloc[:, y]\n",
    "cooler.to_excel(\"heater.xlsx\")\n",
    "heater.to_excel(\"cooler.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "quick-bangkok",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cooler\n",
    "cooler.iloc[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "affiliated-probe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1, 6], [1, 5], [2, 6], [2, 8], [2, 5], [2, 8], [3, 13], [3, 9], [5, 12], [3, 9], [3, 10], [4, 12], [4, 13], [4, 12], [3, 11], [6, 12], [4, 10], [2, 7], [1, 6], [2, 7]]\n",
      "[[6, 36], [6, 30], [12, 36], [12, 48], [12, 30], [12, 48], [18, 78], [18, 54], [30, 72], [18, 54], [18, 60], [24, 72], [24, 78], [24, 72], [18, 66], [36, 72], [24, 60], [12, 42], [6, 36], [12, 42]]\n"
     ]
    }
   ],
   "source": [
    "li=[]\n",
    "for j in range(12):\n",
    " temp=[]\n",
    " for i in range(20):\n",
    "    temp.append([cooler.iloc[j][i],heater.iloc[j][i]])\n",
    " li.append(temp)\n",
    "print(li[0])\n",
    "print((np.array(li[0])*6).tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "vietnamese-avatar",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "harmful-citation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9ejTA9ctw9vb2lJSU3PFcyr8aXf3956ysLHr37s3UqVNp06ZNufLdyYQJE5g0aRIPPvggW7dulc7fQgghLI6qqiyMW0idynXo4t8Ftn8O1QLAO0DraP9hMzNJCQkJnDx58vqfo6OjqVu37m2f07FjR5YuXQroF1F7e3vj4eEBwOrVqykoKCA9PZ2tW7fSsmVLioqK6N+/PyNHjmTgwIFlznarcSpXrkx2dvb14zIzM6lVqxYACxcuLPP5hRBCCHNx+MphYtNiGdF0BPbFeZC00+zuavubzdzdlpOTw4QJE8jIyMDBwYGAgADmzp172+dMmTKFMWPGEBoaipub2z8Kk9DQULp27UpaWhpvvvkmfn5+LFmyhO3bt5Oenn79Ut6CBQsICwur0DgPPPAAAwcOZPXq1Xz22WdMmTKFQYMGUbVqVbp168aZM2fu6jURQgghTG1h3EI8nT3pG9AXTmyE0iKzvNQGNlQkRUZG3rLn0N9rkABatGjB1q1bAfDy8mLVqlU3fU5oaCiLFi36x98NHz6c4cOHlylPvXr1OHr06G3HCQoKun5H3d/69u37n+NGjx59/bKhEEIIYa7OZp1ly/ktPBbyGK4OrpCwHlyqgH9rraPdlM1cbhNCCCGEthYfW4yDnQOPNHkEdKVwcgME9gR785yzMc9UZk4WTAshhBDlk1GQwerE1fRp0AdvV284txfy0qHRvVpHuyWTziSpqmrK4WyavNZCCCHMyY8JP1JQWsDIpiP1f5GwDuwczK7L9o1MViS5uLiQnp4u37xNQFVV0tPTcXFx0TqKEEIIQWFpIT/E/0D7Wu0JqPrXrf4n1kPd9uDiqW242zDZ5bbatWtz4cKFMm3TURYFBQUWWQSYKreLiwu1a9c2+jhCCCHEnfx++nfSC9L1zSMBrp6G1HiIHK1prjsxWZHk6OhI/fr1DXa+rVu3Eh4ebrDzmYql5hZCCCEqQlVVFh1bRFDVINrU/KvJcsJ6/ccg812PBHJ3mxBCCCGMaNfFXSRmJDI6ePT/71ZxYh1UbwJehps8MQYpkoQQQghhNAviFuDj6sO99f6aNSrIhLO7zfqutr9JkSSEEEIIo4i/Gs++lH080uQRHO0d9X+Z+AfoSsy2y/aNpEgSQgghhFEsiluEq4MrA4Nu2M80YR24VYPaLbQLVkZSJAkhhBDC4C7nXmbdmXUMCByAp/Nft/mXlsDJTRDYC+zstQ1YBlIkCSGEEMLgvo//Hh06hje5YU/T83uhIAMamf+lNpAiSQghhBAGllucy/KE5fSo04PalW/o2ZewDuydoGE37cKVgxRJQgghhDColSdXkl2czajgUf984MR6qNcRnN21CVZOUiQJIYQQwmBKdCUsOb6EcJ9wQquH/v8DaSchPdFiLrWBFElCCCGEMKDN5zaTnJP8/1uQ/C1hnf6jmXfZvpEUSUIIIYQwCFVVWRi3EP/K/nTx7/LPB0+sB98QqOKvSbaKkCJJCCGEEAZx+MphYtNiGdl0JPY33uKfdxXO7bWILts3kiJJCCGEEAaxMG4hns6e9A3o+88HTm4CtdQiumzfSIokIYQQQty1s1ln2XJ+C4ODBuPq4PrPB0+sA3df8AvXJlwFSZEkhBBCiLu2+NhiHOwceKTJI/98oKQIEjdDUC+ws6yyw7LSCiGEEMLsZBRksDpxNb0b9Mbb1fufD57bDYVZFnepDaRIEkIIIcRd+jHhRwpKC/572z9AwnpwcIEGXUye625JkSSEEEKICissLeSH+B9oX6s9AVUD/vmgqkLC71C/Mzi5aRPwLkiRJIQQQogK+/3076QXpN98Fik1HjLOWlSX7RtJkSSEEEKIClFVlUXHFhFUNYg2Ndv89wAL7LJ9IymShBBCCFEhuy7uIjEjkVHBo1AU5b8HnFgPNcPAo6bJsxmCFElCCCGEqJAFcQvwcfXhvno3uZyWkwrnoyz2UhtIkSSEEEKICoi/Gs++lH080uQRHO0d/3vAyY2AarGX2kCKJCGEEEJUwKK4Rbg6uDIwaODNDzixDir7Qc3mpg1mQFIkCSGEEKJcLudeZt2ZdQwIHICns+d/DygphFNb9Bva3mytkoWQIkkIIYQQ5fJ9/Pfo0DG8yfCbH5C0A4pyLLLL9o2kSBJCCCFEmeUW57I8YTnd63SnduXaNz8oYR04ukH9TqYNZ2BSJAkhhBCizFaeXEl2cTajg0ff/ABV1W9F0rAbOLqYNJuhSZEkhBBCiDIp0ZWw5PgSwn3CCa0eevODLh+FrAsWfVfb36RIEkIIIUSZbD63meSc5JtvQfK3hPWAAkG9TJbLWKRIEkIIIcQdqarKwriF+Ff2p4t/l1sfmPA71IoEdx+TZTMWKZKEEEIIcUeHrxwmNi2WEU1HYG9nf/ODsi/BxUP6W/+tQJmKJEVRqiiKskJRlHhFUY4ritLW2MGEEEIIYT4Wxi3Ew8mDvg373vqgExv0Hxvdb5pQRlbWmaRPgfWqqjYGmgPHjRdJCCGEEObkbNZZtpzfwpBGQ3BzdLv1gSfWg2cd8GlqunBGdMciSVEUT6AT8C2AqqpFqqpmGDmXEEIIIczE4mOLcbBz4JEmj9z6oOJ8q+iyfSNFVdXbH6AoYcBc4Bj6WaSDwLOqqub+67jHgccBfH19I5ctW2aMvNfl5OTg7u5u1DGMQXKbluQ2PUvNLrlNS3Kb1t3kzi3N5c3kN4l0i2SY97BbHlctbT8hR//HkdApXPMKr2jUfzDV6921a9eDqqq2+M8Dqqre9hfQAigBWv/150+B9273nMjISNXYtmzZYvQxjEFym5bkNj1LzS65TUtym9bd5P4q+iu12YJm6omrJ25/4K8TVXWqn6oWF1R4rH8z1esNHFBvUs+UZU3SBeCCqqr7/vrzCiDCAIWbEEIIIcxYYWkhP8T/QHu/9gRWDbz1gaqqX7Qd0B0cnE0X0MjuWCSpqnoJOK8oSqO//qo7+ktvQgghhLBiv5/+nfSCdEYF36Z5JEBKNGSnWPyGtv/mUMbjJgBLFUVxAk4DjxovkhBCCCG0pv7VPDKoahBtara5/cEJ60Cxg8CepglnImUqklRVjUa/NkkIIYQQNmBn8k5OZZ5iaoepKHe6Wy1hHdRuBZWqmSaciUjHbSGEEEL8x8JjC/Fx9eG+ene4hJaZDJdioJF1XWoDKZKEEEII8S/xV+PZl7KPoU2G4mjvePuDT6zXf5QiSQghhBDWblHcIlwdXBkUNOjOB59YD1Xrg3eQ8YOZmBRJQgghhLjuUu4l1p1Zx4DAAXg6e97+4KJcOL1NP4tkJV22byRFkhBCCCGu+z7+e3ToGN5k+J0PPrUFSgsh6F7jB9OAFElCCCGEACC3OJcVCSvoXqc7tSvXvvMTTqwDZ0+o28744TQgRZIQQgghAFh5ciXZxdl3bh4JoNPpu2wH9oA7Le62UFIkCSGEEIISXQlLji8hrHoYzas3v/MTkg9CbqrVddm+kRRJQgghhGDzuc0k5yQzOnh02Z5wYh0o9vqZJCslRZIQQghh4/7egsS/sj9d/LuU7UkJ6/VrkVyrGjWblqRIEkIIIWzc4SuHiU2LZUTTEdjb2d/5CRnn4Eqc1d7V9jcpkoQQQggbtzBuIR5OHvRt2LdsT0iw3i7bN5IiSQghhLBhZ7POsuX8FoY0GoKbo1vZnpTwO1QLhGoNjRtOY1IkCSGEEDZs8bHFONg5MLTx0LI9oSALknZCI+u+1AZSJAkhhBA2K6Mgg9WJq+ndoDfV3aqX7Umn/gRdMTS637jhzIAUSUIIIYSN+jHhRwpKCxjZdGTZn3Rivf6OttqtjBfMTEiRJIQQQtigwtJCfoj/gfZ+7QmsGli2J+lK/+qy3RPsHYwb0AxIkSSEEELYoN9P/056QTojg8sxi3Q+CvKvWv2t/3+TIkkIIYSwMX83jwyqGkTbmm3L/sQT68DOEQK6Gy+cGZEiSQghhLAxO5N3cirzFKOCR6EoStmfmLAe6rUHF0/jhTMjUiQJIYQQNmbhsYX4uPpwX71yNINMPwVpCVa9oe2/SZEkhBBC2JD4q/HsS9nH0CZDcbR3LPsTT/zdZds21iOBFElCCCGETVkUtwhXB1cGBQ0q3xMT1kH1JlC1nlFymSMpkoQQQggbcSn3EuvOrKN/QH88ncuxrig/A87tsfq92v5NiiQhhBDCRnwf/z06dAxvOrx8T0z8A3QlUiQJIYQQwvrkFueyImEF3et0x7+yf/menLAO3LyhVqRxwpkpKZKEEEIIG7Dy5Eqyi7MZFTyqfE8sLYbETRDUC+zsjRPOTEmRJIQQQli5UrWUJceXEFY9jObVm5fvyef2QkGmzV1qAymShBBCCKsXkxdDck5y+WeRQH/rv70TNOhq+GBmTookIYQQwoqpqsrmrM34V/anq385Cx1VhYTfoX4ncHY3TkAzJkWSEEIIYcUOXznM2aKzjGg6AvvyrilKOwlXT9vMhrb/JkWSEEIIYaVKdaXMPjwbNzs3+jbsW/4TnFin/yhFkhBCCCGsyXdHv+Pg5YP0r9ofN0e38p8gYT3UCIEq5WwZYCWkSBJCCCGsUExqDHOi53BvvXtpXal1+U+QdxXO77WpDW3/TYokIYQQwsrkFOXw8vaX8XXz5c22b6IoSvlPcnIjqDqb2tD23xy0DiCEEEIIw5q6byopuSksuHcBHk4eFTtJwjpw94Wa4YYNZ0FkJkkIIYSwImtOrWHt6bU80fwJwn0qWOCUFEHiZv2CbTvbLRUs8jPffXE3iQWJWscQQgghzMr5rPNM3TeVCJ8IxoWMq/iJzu6Comyb7LJ9I4srkkp0JXwQ9QHz0+aTlp+mdRwhhBDCLBTrinllxyvYYce0jtNwsLuLFTUJ68DBBep3NlxAC2RxRZKDnQMzO88kX5fP5O2TKdGVaB1JCCGE0NyX0V8SkxbDW+3ews/dr+InUlV9f6QGXcCpAm0DrIjFFUkAgVUDGeI1hKhLUXwR/YXWcYQQQghN7b+0n3mx8+gf0J97693l3WhXjkPGOZttIHkji727rbV7a/K88vgm9hvCfMLoVLuT1pGEEEIIk8soyOCVHa9Q16Mur7R65e5PaONdtm9kkTNJf3u11as0qtqI13a+xsWci1rHEUIIIUxKVVWm7JnC1YKrfNDpg4p11f63hPXgFw4eNe/+XBbOooskFwcXPuryEaW6Ul7c9iLFpcVaRxJCCCFMZvmJ5Ww+t5nnIp6jabWmd3/CnFS4sN+mu2zfyKKLJIA6HnV4r/17xKbFMvPATK3jCCGEECZxKuMUM/bPoJ1fO0Y0HWGYk57cAKg23WX7RhZfJAH0qNuDEU1H8H3892xI2qB1HCGEEMKoCksLmbx9Mm6ObkztMBU7xUDfzhPWgUctqBFqmPNZOKsokgCej3ye5tWb89autziTeUbrOEIIIYTRfHLwExKuJfBe+/fwdvU2zEmLC+DUFv2C7Yrs9WaFrKZIcrRzZGbnmTjZOzFp6yTyS/K1jiSEEEIY3PYL21lyfAmPNH7EsHd2J+2A4lyb77J9I6spkgBqVKrB9I7TOZVxiql7p2odRwghhDCotPw03tz1JoFVA5nUYpJhT56wDhwrQb2Ohj2vBbOqIgmgfa32jG8+ntWnVrPy5Eqt4wghhBAGoVN1vL7zdXKLc5nRaQbO9s6GO7mqwokN0LArOLoY7rwWzuqKJIAnQp+gTc02TN03lYSrCVrHEUIIIe7a4mOL2X1xNy+3fJmGVRoa9uSXYiHrglxq+xerLJLs7eyZ3nE6nk6eTNo6ieyibK0jCSGEEBV2PP04nxz6hG7+3RgUNMjwA5xYDygQ2Mvw57ZgVlkkAVRzrcaMzjNIzknm7d1vo6qq1pGEEEKIcssrzuPl7S/j5ezFO+3eQTHGnWcJv0PtFuBe3fDntmBWWyQBRPhG8FzEc2w6u4klx5doHUcIIYQotw/3f8jZrLO83/F9qrhUMfwAWSlw8bDs1XYTVl0kAYwKHkVX/658dOAjoq9Eax1HCCGEKLONSRv5+eTPjGk2htY1WxtnkJN/NWGW9Uj/YfVFkqIo/K/D//Ct5MuL217kWsE1rSMJIYQQd5SSk8KUPVNoVq0ZT4c/bbyBEtZDlTrgY4C936yM1RdJAB5OHnzU5SOuFVzj1R2volN1WkcSQgghbqlUV8orO16hVFfKh50+xNHO0TgDFeXB6S36DW2ly/Z/2ESRBNC0WlMmt5rMrou7mBszV+s4QgghxC19E/sNh64c4o02b+Dv4W+8gc5sg5IC2dD2FmymSAIYFDSIPg368EX0F+xN2at1HCGEEOI/oq9E89WRr7i//v30adDHuIMlrAOnylC3g3HHsVA2VSQpisKbbd6kgWcDJm+fzOXcy1pHEkIIIa7LLsrmlR2vUKNSDd5o84Zxbvf/m06n77Id0B0cnIw3jgWzqSIJwM3RjY+6fER+ST4vb3+ZYl2x1pGEEEIIVFXlvb3vcSn3EtM7TqeyU2XjDpgSDTmX5K6227C5IgmgQZUGvN32bQ5dOcRnhz7TOo4QQgjBmtNrWHdmHU82f5IwnzDjD5iwDhQ7COxp/LEslENZDlIUJQnIBkqBElVVWxgzlCn0btCbw1cOMz9uPmE+YXSr003rSEIIIWzUuaxzTN07lUjfSB4Lecw0g55YB/6twc3LNONZoPLMJHVVVTXMGgqkv73c8mWaVmvKGzvf4Hz2ea3jCCGEsEHFpcW8vP1lHOwcmN5xOvZ29sYfNPOCflNb6bJ9WzZ5ue1vTvZOzOo8CxR4YesLFJYWah1JCCGEjfk8+nPi0uOY0m4KNSrVMM2gJ9brPza63zTjWSilLBu/KopyBrgGqMDXqqr+p9GQoiiPA48D+Pr6Ri5btszAUf8pJycHd3d3g5wrNi+Wualz6eDegSHVhhjknLdiyNymJLlNy1Jzg+Vml9ymJbn1EvITmHNlDm3d2zK02lCDnfff/p07JOYdXPNTiGr1pVk3kTTV+6Rr164Hb3qlTFXVO/4Cav310Qc4AnS63fGRkZGqsW3ZssWg55t1YJbabEEzdc2pNQY9778ZOrepSG7TstTcqmq52SW3aUluVb2af1Xt9mM39YGVD6i5RbkGO+/N/CN3QbaqvuutquteNeqYhmCq9wlwQL1JPVOmy22qqib/9fEKsBJoZZjazXxMDJ9IhE8E7+55l1MZp7SOI4QQwoqpqspbu9/iWuE1Puz0IW6ObqYb/PQWKC2SLttlcMciSVGUSoqiVP7790BP4Kixg5mag50DMzrPwNXBlUlbJ5FXnKd1JCGEEFbqp4Sf2Hp+K89HPk9jr8amHTxhPbh4Qp22ph3XApVlJskX2KkoyhEgCvhNVdX1xo2lDR83Hz7s9CFJWUm8u/fdvy81CiGEEAZz8tpJZhyYQfta7RnWZJhpB9eV6hdtB9wD9kbaNNeK3LFPkqqqp4HmJshiFlrXbM1TzZ/i8+jPifCJYHCjwVpHEkIIYSUKSgp4efvLVHKsxP/a/w87xcQ3mScfhLw06bJdRjbdAuBWxoWOo32t9kyPmk5cepzWcYQQQliJjw9+TGJGIlM7TMXb1dv0ARLWgWKv369N3JEUSTdhp9gxrcM0qrlW44WtL5BZmKl1JCGEEBZu2/ltfB//PcObDKdDrQ7ahDixHuq2A9eq2oxvYaRIuoWqLlWZ2Xkml/Mu88auN2R9khBCiApLzUvlzV1v0qhqI56PfF6bENeS4MoxudRWDlIk3Ubz6s15IfIFtp7fyoK4BVrHEUIIYYF0qo7Xdr5Gfkk+H3b6ECd7J22CJPx1z5VsRVJmUiTdwbAmw7in7j18euhTDl4+qHUcIYQQFmZR3CL2puxlcqvJNKjSQLsgJ9aBdxBUa6hdBgsjRdIdKIrCu+3epXbl2ry07SXS8tO0jiSEEMJCxKXH8enhT+lRpwcPBT6kWQ77kjxI2iWzSOUkRVIZuDu5M6vzLLKKsnhl+yuU6kq1jiSEEMLM5RXnMXn7ZKq5VGNKuykoGu6R5nX1MOiKZUPbcpIiqYwaeTXi9davs+/SPr488qXWcYQQQpi56VHTOZd1jmkdp+Hp7KlplmrpUeDqBf5Wt6uYUUmRVA79A/vTL6Afc2PmsjN5p9ZxhBBCmKn1SetZmbiSx0Ieo2WNltqGKS2hWvpBCOwJdvbaZrEwUiSV02utXyOgagCv7niVS7mXtI4jhBDCzFzMuci7u98ltHooT4Y9qXUcuBCFY0m2bGhbAVIklZOrgysfdf6IYl0xL2x7geLSYq0jCSGEMBMluhJe2fEKOnRM7zgdRzsz2B8tYR06xQEaSpft8pIiqQLqedbjnXbvEJMaw0cHP9I6jhBCCDPxTcw3HL5ymDfbvIl/ZX+t44CqQtwqrlUNBRcPrdNYHCmSKqhXvV4MazKMJceXsDFpo9ZxhBBCaOzQ5UN8FfMVDzR4gN4NemsdR+98FGSe44pPJ62TWCQpku7CC5EvEOodylu73+Js1lmt4wghhNBIVlEWr+x4Bb9Kfrze5nWt4/y/2OXg4EKad2utk1gkKZLugqO9IzM7z8TBzoFJWydRUFKgdSQhhBAmpqoq7+55l9S8VD7s9CGVHCtpHUmvtBjiVkKj+yh1cNM6jUWSIuku1XSvybQO0zhx7QTToqZpHUcIIYSJrUpcxYakDTwd/jQh1UO0jvP/Tm+DvDQIGaR1EoslRZIBdKzdkXEh4/jl5C+sSlyldRwhhBAmkpSZxLSoabSq0YpHgx/VOs4/xS4HF08I6KF1EoslRZKBPB32NK1qtGLq3qmcuHZC6zhCCCGMrLi0mMk7JuNk78T7Hd7H3pwaNRblQfxaaNoXHJy1TmOxpEgyEHs7ez7o9AGVnSozaeskcopytI4khBDCiD47/BnH0o/xTrt38K3kq3Wcfzq5AYpy5FLbXZIiyYC8Xb35sNOHXMi+wNu730ZVVa0jCSGEMILdF3czP24+g4MG072OGTZpjF0B7jWgbnutk1g0yyySUo7gkRmvdYqbalGjBRPCJ7Dx7Ea+j/9e6zhCCCEM7GrBVV7f+ToNPRvyYssXtY7zX/nX4ORGaPaQ7NV2lyyvSNLpYPmjBJ78Wt9J1Aw92uxRutTuwswDM4lJjdE6jhBCCANRVZW3dr1FVmEWH3T6AFcHV60j/dfxNVBaBCEDtU5i8SyvSLKzg46TqJxzWl8pmyE7xY7/dfgfvm6+vLDtBTIKMrSOJIQQwgC2Z29n24VtTGoxiUZejbSOc3Oxy8GrIfiFa53E4llekQQQOoQCZx/Y9qHZziZ5Onsyq/Ms0vPTeXXnq+hUndaRhBBC3IUT106w6toqOtbqyCONH9E6zs1lpcCZHfoF24qidRqLZ5lFkr0j5+oMgOQDcHqr1mluKdg7mMktJ7MzeSffxn6rdRwhhBAVVKIr4bUdr+Fq58p77d9DMdcCJO4XQJVLbQZimUUSkFKzB1T2g+0ztI5yW4MbDea++vfxefTnRKVEaR1HCCFEBfyY8CMJ1xIY7DWYaq7VtI5za7HLoWYYeAdqncQqWGyRpNo5Qvtn4ewuSNqldZxbUhSFKW2nUNejLi9vf5nMkkytIwkhhCiHtPw0Pj/8Oe392tPcrbnWcW4tLREuHpbeSAZksUUSAJGjoFJ1s59NcnN046POH5FXksfCtIWU6kq1jiSEEKKMPjrwEYWlhbza+lXzvcwGcHQFoECzAVonsRqWXSQ5ukK7CXB6C1w4oHWa2wqoGsBrrV/jZOFJ5sfN1zqOEEKIMjhw6QBrTq9hdPBo6nrU1TrOramqvoFkvQ7g4ad1Gqth2UUSQIux4Oqlv9PNzPVt2Jdwt3DmHJ7D0bSjWscRQghxG8W6Yqbum0rNSjUZFzpO6zi3l3IE0k/Kgm0Ds/wiydkd2j6l36cm5YjWaW5LURQe9noYbzdvJm+fTF5xntaRhBBC3MKy+GUkZiQyudVk82waeaPY5WDnCE0e1DqJVbH8Igmg1ePg7Gn2a5MA3OzdmNZhGuezzzM9arrWcYQQQtzElbwrzImeQ4daHejm303rOLenK4WjP0PgPeDmpXUaq2IdRZKLJ7Qer2/FfvmY1mnuqEWNFjwW8hgrE1eyMck8u4YLIYQtm3VgFsWlxbzayswXawOc3Q3ZKXKpzQiso0gCaPMkOLnDjplaJymTJ8OeJMQ7hCl7pnAp95LWcYQQQvxl/6X9/H7md8aEjKGORx2t49xZ7HJwrARB92mdxOpYT5Hk5gUtH4Ojv0DaSa3T3JGjnSPTO06nVFfKqztelbYAQghhBop1xUzdO5Va7rUY22ys1nHurKQQjq2GJn3AyU3rNFbHeookgLbPgIML7PhI6yRlUsejDq+2fpUDlw9IWwAhhDAD3x//nlOZp3il1Su4OLhoHefOEjdDQYY0kDQS6yqS3KtDi0ch5ke4ekbrNGXSt2FfetbtKW0BhBBCY5dzL/NF9Bd0rt2ZLv5dtI5TNrHLwa0aNOiidRKrZF1FEkC7iWDnADs/1jpJmSiKwltt38LbzZtXdrwibQGEEEIjsw7MokRXwuRWk7WOUjaFOZCwDoL7g72j1mmskvUVSR41IWIERH8PmRe0TlMmns6evN/hfc5lneOD/R9oHUcIIWzOvpR9rEtax2Mhj+Ff2V/rOGWT8DuU5EMzuavNWKyvSAL9xreosOtTrZOUWcsaLXks5DF+OfkLm85u0jqOEELYjOLSYt7f9z613WvzaLNHtY5TdrHLwdMf/FtrncRqWWeRVKUONB8KBxdCtuXcXv9k2JM0q9aMKbulLYAQQpjK4uOLOZ15mldbv2oZi7UBctP0i7abPQR21vmt3BxY7yvbcRLoSmD3Z1onKTNHO0c+6PQBxbpiXtv5mrQFEEIII7uUe4mvjnxFF/8udKrdSes4ZXdsFailclebkVlvkeTVQP/mOfCdvuK2EHU86vBqq1fZf2k/C+IWaB1HCCGs2oz9M9CpOl5p9YrWUcondgVUbwK+wVonsWrWWyQBdHwBivNhzxytk5RLv4B+3FP3Hj4//DlxaXFaxxFCCKu0++JuNp7dyLiQcdRyr6V1nLLLOAfn9ui3ITH3LVMsnHUXSdWDILgfRH0DeVe1TlNmiqLwdtu3qeZajck7JktbACGEMLCi0iKm7ZtGncp1GN1stNZxyufoz/qPsleb0Vl3kQTQ6SUoyoaouVonKRdPZ0+mdZzGuaxzfLj/Q63jCCGEVVl0bBFJWUm82vpVnO2dtY5TPrEroHYrqFpP6yRWz/qLJN9gaNwH9n4BBVlapymXljVaMjZkLD+f/FnaAgghhIGk5KQwN2Yu3et0p0OtDlrHKZ8rx+HyUVmwbSLWXyQBdHoRCjJh/zdaJym3p5o/RXC1YGkLIIQQBjLjwAxUVeXlli9rHaX8YleAYq9fSiKMzjaKJL9wCLhHv4C7KFfrNOXiaP//bQFe3/m6tAUQQoi7sCt5F5vObuLx0Mfxc/fTOk75qKq+gWSDzuDuo3Uam2AbRRJA55chLx0OzNc6SbnV9ajLq61eJepSFAuPLdQ6jhBCWKSi0iKmRU2jrkddRgWP0jpO+V04ABln5VKbCdlOkeTfCup3ht2z9W0BLMzfbQE+O/QZcenSFkAIIcprQdwCzmad5bVWr+Fk76R1nPKLXQ72zvp1tsIkbKdIAv2dbjmX4dBirZOU241tAV7Z/oq0BRBCiHJIzknmm5hvuKfuPbSr1U7rOOVXWgJxv0Cje8HFQ+s0NsO2iqR6HaBOW9j1CZQUaZ2m3P5uC3A266y0BRBCiHL4MOpDFEWxzMXaAGe2QW6qXGozMdsqkhRFP5uUlQxHvtc6TYW0rNGSMc3G8PPJn/nj7B9axxFCCLO3/cJ2/jz/J+NDx1OjUg2t41RM7Apw9tTfhCRMxraKJICG3cAvAnZ8BKXFWqepkKfDnta3Bdgzhcu5l7WOI4QQZquwtJDpUdOp51GPkU1Hah2nYorz4fgaaPoAOLponcam2F6RpCj6O90yzuoXwVkgR3tHpnecTlFpEa/vfB2dqtM6khBCmKX5R+dzPvs8r7V+DUd7R63jVMyJDfqdI+RSm8nZXpEEEHQv1AiBHbPAQvsO1fOsxyutXmHfpX0sjJO2AEII8W8Xsi8wL3Yever1oq1fW63jVNzRFeDuC/U6ap3E5thmkfT32qT0RIhbqXWaCusf0J976t7D7MOzOZZ+TOs4QghhVj7Y/wF2ih0vtnhR6ygVl58BJzZC8ACws9c6jc2xzSIJoPEDUL0xbJ8JOsu8XPV3WwAvFy8mb58sbQGEEOIv285vY+v5rTzZ/EnLXawNEL8WSgvlUptGbLdIsrODji9C6nH9m9BCeTp7Mq2DtAUQQoi/FZQUMC1qGg08GzC8yXCt49yd2OVQtT7UitA6iU2y3SIJoNkA8GoI22fo98SxUK1qtuLRZo/y88mf2Xx2s9ZxhBBCU98d/Y7knGReb/265S7WBsi+BGe262eRFEXrNDbJtoskO3vo+AJcioGTG7VOc1eeCXuGptWa8vaet6UtgBDCZp3POs+3sd9yX/37aFWzldZx7k7cSlB1EDJQ6yQ2y7aLJIDQwVClDmz70KJnk/7RFmCXtAUQQtgeVVWZFjUNBzsHy16s/bfY5VAjFKo30jqJzSpzkaQoir2iKIcVRbHcBTw3Y+8IHZ6H5ANweqvWae5Kfc/6TG45mX0p0hZACGF7tp7fyo7kHTwV9hQ+bj5ax7k76acg+aAs2NZYeWaSngWOGyuIpsKGQWU//dokCzcgcAA96vSQtgBCCJuSX5LP9KjpBFQJ4JEmj2gd5+4d/RlQoNlDWiexaWUqkhRFqQ30BuYZN45GHJyh/bNwdhck7dI6zV1RFIUp7aZIWwAhhE35NvZbLuZe1HfWtrPgxdqgX/oRuxzqtgfPWlqnsWmKWoZ1OIqirACmAZWBF1VV7XOTYx4HHgfw9fWNXLZsmYGj/lNOTg7u7u4GO59daSFt9j5OjntdYpq/a7Dz/puhc99KQn4Cc67MoZ17Ox6u9vBdn89UuQ1NcpuepWa3tNyqqrIucx0+Oh9aeLXQOk65GfL1Ti1O5f2L7xNWKYxR3qMMcs5bMcX7xD37NC0OPk9C0JOk+N1rkHNa2vv7b6bK3bVr14Oqqv73P5Kqqrf9BfQBvvjr912AtXd6TmRkpGpsW7ZsMfxJd36qqm97qOq5KMOf+y9GyX0Lsw7MUpstaKb+kfTHXZ/LlLkNSXKbnqVmt7Tcm5I2qc0WNFObLWimTt83XS0qKdI6UrkY6vXW6XTq+E3j1dZLW6tXcq8Y5Jy3Y5L3yYY3VPUdL1XNTTfYKS3t/f03U+UGDqg3qWfKcrmtPfCgoihJwDKgm6IoSwxTu5mZFmPA1csq1iYBTAibcL0twJW8K1rHEUIYSKmulM8Of0Z9z/p0rtyZJceXMGLdCM5nndc6msn9ee5PdiXv4umwp6nuVl3rOHdPp9OvRwroAW5eWqexeXcsklRVfVVV1dqqqtYDHgb+VFXVwluY3oKzO7R9Ck5ugIvRWqe5aze2BXht52vSFkAIK/Hbmd84nXmaZ8KeYaDXQD7p+gnnss8xaO0g1p9Zr3U8k8krzuOD/R8QWDWQoY2Hah3HMM7tgaxkuavNTEifpH9r9Ti4eFrNbFJ9z/q83PJl9qXsY1HcIq3jCCHuUnFpMV9Ef0HTak25p+49AHSv050VD6wgoEoAL21/iXf2vENBSYHGSY1vXuw8UnJTeL316zjYOWgdxzBil4OjGzS6T+skgnIWSaqqblVvsmjbqrh4Qusn9Pu5XbaOW+gfCnyI7nW68+nhTzmebp1dHISwFStOriA5J5mJ4RNRbtiqws/dj/n3zmdss7GsOLGCob8N5VTGKQ2TGldSZhLz4+bzYMMHifSN1DqOYZQUwbFV0Lg3OFXSOo1AZpJurvUT4OQOO2ZqncQgFEVhStspeDl7MXnHZPJL8rWOJISogLziPL4+8jWRvpG082v3n8cd7Rx5LvI5vuzxJVcLrjL0t6GsSlz19004VkP9q7O2i70Lz0c+r3Ucwzn1J+Rfk0ttZkSKpJtx84KWj8HRXyDtpNZpDKKKSxWmdpxKUmYSM/Zbx6VEIWzND/E/kF6Q/p9ZpH/rUKsDyx9YToh3CG/uepPXdr5GbnGuCZMa1x/n/mD3xd08E/4M3q7eWscxnNjl+puHGnbTOon4ixRJt9L2GXBwgR0faZ3EYNrUbMPo4NEsP7Gczec2ax1HCFEOWUVZfHf0OzrW6kiEb8Qdj/dx82HuPXN5Kuwpfj/zOw+vfZj4q/EmSGpcecV5fBD1AY2qNmJIoyFaxzGcolxI+B2C++m3yxJmQYqkW3Gvrm8JEPMjXD2jdRqDmRA+gSZeTZiye4q0BRDCgiyMW0hWURYTIyaW+Tn2dvY82fxJ5vWcR15xHsN+G8YP8T9Y9OW3r2O+5nLeZV5vY0WLtQES1kFxnlxqMzNSJN1Ouwlg5wA7P9Y6icE42jvyQacPKCgp4PWdr0tbACEsQFp+GouPLebeevfS2KtxuZ/fskZLlj+4nNY1W/P+vveZtHUSWUVZRkhqXKczTrMobhF9G/Yl3Cdc6ziGFbscPGqBfxutk4gbSJF0Ox41IWIERH8PGdbTpK2+Z31ebvUye1P2svjYYq3jCCHu4NvYbykqLeLpsKcrfA4vFy8+7/45L7Z4ka3ntzJ4zWBiUmMMF9LIVFXl/aj3cXV0ta7F2gB5VyHxD/1mtnbybdmcyL/GnbR/Tv9x92xNYxjawMCBdK/TnU8OfSJtAYQwYyk5KfyY8CN9A/pSz7PeXZ3LTrFjVPAoFt63EIBR60ax4OgCi5hR3nB2A/tS9jExfCLVXKtpHcewjq0CXYlcajNDUiTdSRV/CBsKBxdC9iWt0xiMtAUQwjJ8FfMVAE+EPmGwc4ZWD+WnB36ia52uzDo4i6c3P83VgqsGO7+h5RbnMiNqBk28mjAoyAoLidgV4N0IaoRonUT8ixRJZdHheX2Vv/szrZMY1N9tAc5knmHmfuvoCSWENTmTeYbViasZ0mgINd1rGvTcHk4ezOo8i9dbv05UShSDfh3E/kv7DTqGoXx95Guu5F/h9TavY29nr3Ucw8q8AGd36WeRbtPWQWhDiqSy8GqgfwMf+A5y07ROY1B/twX46cRP/HnuT63jCCFuMCd6Dk72TjwW8phRzq8oCg83fpilvZfi5ujGYxsf48voLynVlRplvIo4lXGKxccWMyBwAM2rN9c6juEd/Vn/MeQhbXOIm5Iiqaw6vgDF+bBnjtZJDG5i+ESaeDXh7d1vk5qXqnUcIQRwPP04G5I2MKLpCKOvwWns1Zgf+/zI/fXv54sjX/D4psfNokWIqqq8v+993BzdeDbiWa3jGEfscqjVQv/DuDA7UiSVVfUgCO4PUd/o70SwIo72jkzvNF3aAghhRj47/BkeTh6MCh5lkvHcHN14v8P7vNf+PWLTYhm0ZhC7kneZZOxbWZ+0nqhLUTwb8SxeLl6aZjGK1AS4FCsLts2YFEnl0elFKMqGfV9rncTgGng24KWWL7EnZY+0BRBCY4cuH2JH8g7GNBuDh5OHycZVFIV+Af1Y1nsZXi5ePPHHE3x88GOKdcUmy/C3nKIcZuyfQdNqTXko0EovRcWuAMVO/wO4MEtSJJWHbzA07gP7voQCy2vEdieDggbR1b8rnx761Cq2LxDCEqmqyqeHPsXb1ZtHmjyiSYYGVRrwQ+8fGBQ0iO+Ofsej6x/lYs5Fk2b48siXpOWn8UbrN6xvsTaAquovtdXvBJV9tU4jbkGKpPLq9CIUZML+b7ROYnCKovBOu3eo4lyFydulLYAQWth9cTeHrhxifOh4XB1cNcvh4uDCW23fYkbnGZzKOMXANQNNtufjyWsnWXp8KQ8FPURIdSu9LT75EFw7I5fazJwUSeXlFw6BPfULuIusZ1ftv1V1qcrUDlM5nXmaWQdmaR1HCJuiU3V8euhTarnXMptLTPfWu5ef+vyEf2V/ntvyHO/ve5/C0kKjjaeqKlP3TcXdyZ1nw610sTboZ5HsnaHJA1onEbchRVJFdHoJ8tL1LQGsUFu/toxqOoofE35ky7ktWscRwmb8cfYPjl89zlNhT+FoRjvB+3v4s/i+xQxvMpwf4n9gxO8jOJt11ihj/XbmNw5ePshzEc9RxaWKUcbQnK5Uf+t/UE9w8dQ6jbgNKZIqwr8V1O+sby5ZbJ2XpCZGTKSxV2NpCyCEiZToSvg8+nMaeDagd/3eWsf5Dyd7Jya3msxn3T7jYu5FBq8ZzG+nfzPoGNlF2cw6MIsQ7xAGBA4w6LnNypntkHtFLrVZACmSKqrzy5BzGQ5Z551gTvZOfNDpA/JL8nlj1xvSFkAII1t7ei1nMs8wIXyCWS9U7uLfhRUPrKCRVyNe2fEKb+9+22DrF7+I/oL0/HReb/06dooVf3uKXQHOHvqlG8KsWfG70Mjqtoc6bWHXJ1BivOvzWvq7LcDui7vZlLVJCiUhjKSotIgvo78kuFow3et01zrOHdWoVIPven3HuJBxrDy5kqFrh5J4LfGuzplwNYEf4vV31AV7BxsoqRkqLoDjv+rXIjlqtzBflI0USRWlKPq1SVnJEP291mmMZlDQILrX6c7ajLXc+/O9zImew4XsC1rHEsKqLD+xnIu5F5kYMRHFQvbvcrBzYGLERL665yuuFV5j6G9D+fnEz6iqWu5z/d1Zu7JTZSZGTDRCWjNyciMUZkHIQK2TiDKQIuluNOwGtSJh50dQavpma6agKAozOs3gUe9HaeDZgK+PfM19v9zH2A1jWXNqjbQJEOIu5RXnMTdmLi1rtKRtzbZaxym3dn7t+PnBn2nu05wpe6YwecdkcopyynWONafXcOjKIZ6PfB5PZytfyBy7HCr5QL1OWicRZSBF0t1QFOj0MmSc07/xrZSjvSMRlSL46p6v2DhwI8+EPcPFnIu8tvM1uv3UjXf3vEtsamyFfoIUwtZ9H/89VwuuMjHccmaR/s3b1Zuve3zNhPAJbEjawJC1QziWfqxMz80qymLWgVmEVg+lX0A/4wbVWkEWnNgAzQaAvYPWaUQZSJF0t4J6QY0Q2DFLf1unlatRqQbjm4/ntwG/8V2v7+hWpxtrTq3hkd8fof/q/iyMW0hafprWMYWwCJmFmXx39Ds61+5MmE+Y1nHuir2dPY+HPs78XvMpLC1k+O/DWXp86R1/eJpzeA4ZhRnWv1gbIH4tlBZCM7nUZims/B1pAn+vTUpPhLiVWqcxGTvFjpY1WjK1w1S2DN7ClLZTcHdyZ+aBmdyz/B6e/fNZtp7fSomuROuoQpithXELyS7KZkL4BK2jGEyEbwQrHlhBO792TI+aznNbniOzMPOmx8ZfjWdZwjIGBw2mabWmJk6qgdjlUKUu1G6hdRJRRlIkGULjB6B6E9g+E3S2dweYu5M7DwU9xJL7l7C672pGNB3BkdQjTPhzAj2W9+CjAx9xOuO01jGFMCtp+WksOb6E++rfRyOvRlrHMagqLlX4rNtnvNzyZbYnb2fQmkFEX4n+xzE6VcfUvVOp4lyFZ8Kf0SaoKeVcgdNb9b2RLPSyqi2SIskQ7Oz0e7qlHtdPp9qwBlUaMKnFJDYN2sTsrrNpXr05i48tpu/qvgz7fRgrTqwo96JOIazRNzHfUFRaxNNhT2sdxSgURWFE0xEsvm8xdoodo9eP5tvYb6+3EonKjSI6Ndo2FmuD/kqDqpMGkhZGiiRDCe4PXg1h+wz97s42ztHOka51uvJpt0/ZNGgTL7Z4kdyiXN7Z8w5df+rK6ztfZ/+l/bLYW9ikizkX+enET/QL6Eddj7paxzGqZt7NWP7AcnrU7cEnhz7hqT+e4kzmGVZfW01Y9TAebPig1hFNI3Y5+IaAT2Otk4hykCLJUOzsoeMLcClG3wdDXOft6s2o4FGs7LuSpfcv5YGGD/DnuT8Zs2EMvVf25usjX3Mp95LWMYUwmS+PfIkddjzR/Amto5hEZafKzOg0gzfbvMmBywfot7ofubpcXm9jA4u1Aa6egQv7pTeSBbKBd6cJhQ6GKnVg24cym3QTiqIQWj2Ut9q+xZ+D/+T9Du9Ts1JNPo/+nJ4revLEpidYn7SeotIiraMKYTSnM0/z66lfebjxw9SoVEPrOCajKAqDGw3m+97f08SrCb08e9HYy0ZmVY6u0H9s9pC2OUS5SaMGQ7J3hA6TYO1zcHqLvtmkuClXB1ceaPgADzR8gPPZ5/n11K+sSlzFS9tewtPZk/vr30//gP40qdZE66hCGNScw3NwsXdhbMhYraNoIqhqEMv6LGPr1q1aRzENVdXv1VanHVTx1zqNKCeZSTK0sEfAoxZsm6F1EovhX9mfp8OeZv2A9Xx9z9e0q9mOn0/8zOC1gxm0ZhBLjy8loyBD65hC3LVj6cfYeHYjI4NH4uXipXUcYQqX4yA1Xi61WSgpkgzNwRnaPwvndkPSLq3TWBR7O3va+bXjw84f8ufgP683l5seNZ1uy7vx4rYX2Zm8k1IbaNoprNPsw7PxdPZkZNORWkcRphK7HOwcoGk/rZOICpDLbcYQMVLfM2n7h1BvtdZpLJKnsycPN36Yhxs/TMLVBFYlrmLt6bVsSNqAr5svDzZ8kH4B/ajjUUfrqEKUyYFLB9iVvItJkZOo7FRZ6zjCFHQ6OPqzfulFpWpapxEVIDNJxuDoCu0m6BuHnd+vdRqL18irEZNbTWbzoM181OUjgqoG8e3Rb+m9sjej149mdeJq8orztI4pxC2pqspnhz/Dx9WHoY2Hah1HmMr5fZB5XnojWTApkoylxRhw9dL3TRIG4WTvxD117+GLHl+w8aGNPBvxLKl5qbyx6w26/tSVKbunEH0lWnovCbOzM3knh64cYnzz8bg4uGgdR5hK7HJwcIVG92udRFSQXG4zFmd3aPs0/PkeXIwGvzCtE1kV30q+PBbyGGObjeXwlcOsTFzJ72d+5+eTP1PPox79A/vzQIMHtI4pBDpVx+zDs6ntXpv+Af21jiNMpbRY32W78f367wfCIkmRZEytHofds/WzSQ8v1TqNVVIUhQjfCCJ8I3il1StsTNrIqsRVfHzwY2Yfmk1D54b8uetPvF29r/+q7lYdbxdvvN28cXVw1fpTEFZu49mNxF+N5/0O7+No76h1HGEqp7ZA/lW51GbhpEgyJhcPaP0EbPtAfxuob7DWiaxaJcdK9A/sT//A/iRlJrEqcRUbT2xkV/Iu0gvSKVX/e1dcJcdKVHetTjXXavoC6q/fV3et/o/CqqpLVdvoDCwMqkRXwpzDcwioEsD99eWSi02JXQ4uVaBhd62TiLsgRZKxtX4C9syBHbNg4Hdap7EZ9Tzr8Vzkc4Rlh9GlSxdKdaVkFGaQlp92/Vdqfirp+emk5qeSlp9G/NV4dubvJLc49z/ns1fsqeZSDW8379sWU96u3rLmRFy35tQakrKS+LTrp9jb2WsdR5hKUS7E/wahg8DBSes04i5IkWRsbl7Qahzs/AS6vKp1Gptlb2dPNddqVHOtRiMa3fbYvOK8fxRPfxdTf/8+NS+VY+nHuFpw9fqO5jeq7FhZX0DdcFnvZoVVFecqKIpirE9ZaKyotIgvjnxBiHcIXf27ah1HmFLCOijOlUttVkCKJFNo+wzs/Uo/m1T1Ya3TiDtwc3TDzdENf4/bbyFQqivlWuE1ffGUl3rTWaq49DhSL6SSX5L/n+c72DlQzeWG2ai/iilvF2+yC7LpQhcjfYbCFH5K+IlLuZd4r/17UgzbmqM/Q2U//VYkwqJJkWQKlbz1LQH2fYVLqy5apxEGYm9nf/0S25026swrzvvPzNSNhVVKbgoxaTFcK7iGir6FgX+SP73q9TLFpyIMLK84j29iv6F1jda0qdlG6zjClPKuwslN0Ho82Mk6RksnRZKptJ8I++dR59zPgMwm2Ro3RzfqOtalrkfd2x5XoivhasFVRq0axbR902hTsw2ezp4mSikMZcnxJVwtuMqEiAlaRxGmdvxX0BXLpTYrIWWuqVSuAWGP4Ht5q/4nDSFuwsHOgZX7szmd2J9rhRl8fPBjrSOJcsoszGTB0QV08e9C8+rNtY4jTC12BVQLhJryb28NpEgypZaPYa8rgiM/aJ1EmKkNcZeYvj6eorxauOR14eeTP3Pg0gGtY4lymH90PjnFOUwIl1kkm5OZDEk79bNIsg7NKkiRZEo1mpHp0RgOfAeydYb4l6PJmTy3LJrQ2lV4JtyZy2c7427vwzt73qGwtFDreKIM0vLTWHp8Kfc3uJ+gqkFaxxGmFvcLoELIQK2TCAORIsnELvrdC+mJcGa71lGEGbmSXcC4RQeo4ubINyMiifR1YGBEA9KS+pCUlcS82HlaRxRl8PWRrynRlfBU86e0jiK0ELsc/CKgWkOtkwgDkSLJxFKrt9dvfHvgW62jCDNRUFzKuEUHycgrZt6oFvh46JtRvtm7KVWUENyKWjIvdh6nMk5pnFTczoXsC6w4uYL+gf2p41FH6zjC1FJPQMoRWbBtZaRIMjGdvROED9N3Y82+pHUcoTFVVXlpRQwxFzL45OEwgv3+/042TzdH/tevGVeSemGPC1N2T7lp80phHr488iX2ij3jQ8drHUVo4egKQIFmA7ROIgxIiiQtRD4KuhI4tFjrJEJjszcnsubIRV7u1ZhewTX+83iv4BrcHxxIzsX7iU6NZsWJFRqkFHdyKuMUa0+vZWjjofhW8tU6jjA1VdXf1Va/k/5OZmE1pEjSQrWG0KArHFwAuv9uuipsw9qYi3z8xwkGRNTiic4NbnncOw8G41LYCtfSxnx88GMu5142YUpRFnOi5+Dq4MqYZmO0jiK0cPEwXD0lC7atkBRJWmkxBrIuwMmNWicRGjhyPoMXfjpCi7pVmTYg5LbbVni7O/POg81IPdOH/JIipkdNN2FScSdxaXFsOruJUU1HUdWlqtZxhBZiV4C9EzR5QOskwsCkSNJKo/ugck3YLwu4bU1KZj7jFh2gemVnvh4RibPDnXeHf7C5H90DmlKU2p0/zv3B5nObTZBUlMXsw7Op4lyFEU1HaB1FaEFXqt+rLbAnuEqRbG2kSNKKvSNEjITEP+BaktZphInkFZUwbtEB8opK+XZUS6q5O5fpeYqi8L9+IdhndcFZV5v3971PTlGOkdOKO9l/aT+7L+7msZDHcHdy1zqO0ELSTsi5JJfarJQUSVqKGAWKnX5tkrB6Op3KpB+PcOxiFp8NDadRjcrlen4NTxfe6NOMq2f7ciUvlU8PfWqkpKIsVFVl9qHZ+Lj5MKTREK3jCK3ELgcndwi6V+skwgikSNKSZy39ZbdDi6GkSOs0wsg+2nSC9XGXeO3+JnRt7FOhcwxu4U+72uGome35MeFHoq9EGzakKLMdyTuITo3mieZP4OLgYtKxVVXl54MXaDdtM3+eKzbp2OIGJYVw7Ff9WiRHV63TCCOQIklrLR6FvDT9ztHCaq08fIHPtyTycEt/xnaoX+HzKIrCtAEh6NJ74aBWZcqeKRSXyjdJU9OpOmYfmo1/ZX/6BfQz6diJV7IZ+s1eXlh+hPTcIn45WUROYYlJM4i/nNwEhZlyqc2KSZGktQbdoGo9/X5uwiodPHuNyStiadPAi3f7NrvtnWxl4e/lxss9m5N54QFOZZziu6Py3jG1DUkbSLiWwNNhT+No52iSMfOLSpmxIZ77Pt3B8ZRspg0I4ftxbcgphoW7k0ySQfxL7HJw84b6XbROIoxEiiSt2dnpm0ue3QVX4rVOIwzswrU8xi8+gF8VF74cFomTg2H+y41sW4/wau0gtzlfx3zNmcwzBjmvuLNiXTGfH/6cwKqB3Ff/PpOMuSXhCj0/2cacLad4oLkfm1/ozNBWdYisW5XQ6vZ8s+M02QUyo2hSBVlwYr2+w7a9g9ZphJFIkWQOwofre2zIbJJVySks4bGFBygs0TFvVEuqVnIy2Lnt7BQ+GBhK4eUH0ekceXfPu6iqarDzi1v7NfFXzmWfY2L4ROwU434JvZRZwFNLD/Lo/P042tvx/bjWfDQ4DO8b7orsF+BIRl6xzCaZWsLvUFIAzeRSmzWTIskcVPKGpv3gyDIoytU6jTCAUp3Ksz8c5uSVHL4YFkGAj+FvD29Y3Z1J3SLJTbmXA5cPsDJxpcHHEP9UWFrIl0e+JLR6KJ1rdzbaOCWlOr7beYbus7ay+fgVXuwZxLpnO9Kuofd/jm3gaU/3xj58s+MMWTKbZDqxy6FKHfBvpXUSYUR3LJIURXFRFCVKUZQjiqLEKYryjimC2ZwWY/QLAI/+rHUSYQAfrI9nc/wV3n6gKR0DqxttnMc61KdRpe4oBQ2YsX8maflpRhtLwI/xP3I57zLPhj9712vLbiX6fAYPfr6Ld9ceo0U9LzY935lnugXetunocz2CyMwvZsGuJKNkEv+SkwqntuhnkYz0PhDmoSwzSYVAN1VVmwNhwL2KorQxaipbVKcN+DSVDtxW4Kf955m7/TQj29ZlZNt6Rh3Lwd6OmYPCKEjpT25xPh9EfWDU8WxZbnEu82Ln0aZmG1rVNPzsQWZ+MW+siqX/F7tIzy3ki2ERLHi0JXWqud3xuSG1PenRxJdvdpwmM19mk4zu2CpQSyFkkNZJhJHdsUhS9f5u7ev41y9Z/GBoiqKfTUqJhuRDWqcRFbTvdDqvr4qlY6A3b/VpapIxG9fw4Mn27ShI7cr6pPVsv7DdJOPamsXHFnOt8BoTwyca9LyqqrLqcDLdZ23j+33nGN2uHn9M6sz9ITXLNVv1XI9AsgtK+G6nLOI3utjl4BMMvqb5Py60U6Y1SYqi2CuKEg1cATapqrrPqKlsVegQcKwEB2Q2yRKdTc/liSUH8fdy4/NHInCwN92Sv6e7BlDPvg9KcQ3e3fMeecV5JhvbFmQUZLAwbiHd63QnpHqIwc57KjWHYfP28dyP0dSq4sKvz3Tg7QeCqexS/rYCzWp50ivYl+92niEzT2aTjMUl/zKc3ye9kWyEUp47YhRFqQKsBCaoqnr0X489DjwO4OvrG7ls2TIDxvyvnJwc3N0tb6+kO+UOSvgC38tb2NN2PiWO5vP5WevrbSh5xSr/25tPZpHKW21c8a10dwVSRXKfzixlanQCbvW+pEvlLjzk9dBdZagoa3yvrL62ms1Zm3m15qvUdKp512MVlar8drqY304X42gPg4Kc6OLvgF0F1rfcmPt8to43d+XzYENHBgQa7m5KY7DU94nvyaU0Sf6Jva3nUuDqq3WcMrPU19tUubt27XpQVdUW/3lAVdVy/QLeAl683TGRkZGqsW3ZssXoYxjDHXNfjFbVtz1Udc+XJslTVlb7ehtAcUmpOuLbfWrDV39TdyemGeScFc39/u/H1KCPH1NDFoSqsamxBslSXtb2Xrmce1ltsbiF+ur2Vw0yzraEK2rnD/9U605eq0784ZB6OSv/rs7379xPLD6gBr+1Xr2WW3hX5zU2S32fZH8Yoqrzemodo9ws9fU2VW7ggHqTeqYsd7dV/2sGCUVRXIF7AOl6aCw1m0OtFvqeSdL3xiL877fjbD+Ryv/6NaNtw2qaZnm+RxA1SgdAaWXe2vU2xTq57HK35sbMpURXwpNhT97Vea5kFTDhh8OM/C4KRVFYMrY1nz4cjk9lw+779myPQHIKS5i3Q9YmGdzlONxzz8qlNhtSlmsCNYEtiqLEAPvRr0laa9xYNq7FGEhL0HfhFmZtyd6zLNidxNgO9Xm4VR2t4+DiaM/Mh1qTl/IAJzNOsPjYYq0jWbTz2ef5+cTPPBT0EP6V/St0jlKdysLdSXSftY0NcZd4rkcg657tSIfA//Y8MoTGNTzoHVKT+bvOcDVXNs42qNgVqNhBcH+tkwgTKcvdbTGqqoarqhqqqmozVVXfNUUwm9ZsALh4SjsAM7crMY23f42ja6PqvHZ/E63jXNeynhfDmvWmJLspnx+ew/ms81pHslhfRn+Jg50Dj4c+XqHnx17IpN+cXbz9axxhdaqw4blOPNcjCBfHW/c8MoRnewSSV1zKNztOG3Ucm1KUC4cXc9UrQt8AWNgE6bhtjhxdIWwYHF8DOVe0TiNu4nRqDk8uOUhAdXdmDw3H3s68Gsq9fG9jquQNoaTEjil73pEtSyog8Voia0+vZWiTofi4+ZTruVkFxby9+ih95+zkUlYBs4eGs2hMK+p7VzJS2n8K8q1Mn1A/Fu5OIj2n0CRjWr398yA3lbN15VKbLZEiyVy1GAO6Yjgsl0vMTUZeEWMXHsDR3o55o1pU6HZtY6vk7MCH/TuSf6UXUZf2sfa0XCEvr8+jP6eSYyXGBI8p83NUVWXNkYt0n7WNRXvPMrxNXf6Y1JkHm/sZrUP3rTzbPYD84lLmymzS3SvMgV2fQsNuZHmaz6yxMD4pksyVdyDU7wQHF4CuVOs04i/FpTqeWnqI5Gv5fDUiEn+vO3dD1krHwOr0bzCQ0vy6vL/vA64WXNU6ksWITY1l87nNjAoeRRWXKmV6TlJaLiO/i2LCD4fx9XBm1VPtebdvMzxdtSmiA3wq82BzPxbtPkuazCbdnai5kJcOXV7TOokwMSmSzFmLMZBxDhI3a51EoJ8lePvXOHafSmfagBBa1vPSOtIdvd4nmEpZQ8gpyuHDqBlax7EYsw/PpqpzVUY0HXHHYwtLSpm9+SQ9P9nO4XMZTHmgKauf7kBz/yrGD3oHE7sHUlhSytztMptUYQVZsHs2BPYE/5ZapxEmJkWSOWvcB9x9pQO3mViwO4nv953jyS4NeSiyttZxysTT1ZH3+/SkML0zv51Zy+7k3VpHMnv7UvaxN2Uvj4U8RiXH268h2p2Yxn2f7OCjTSe4p6kvm1/ozOj29c1mjVrD6u70DavFoj1JXMku0DqOZYr6GvKvQZdXtE4iNCBFkjmzd4TwEXBig35GSWhma8IV3lt7jJ5NfXmpZyOt45TLPU19uafmI+iKvHlz1zvkl+RrHclsqarK7MOz8XXzZUjjIbc8LjW7kOeWHeaRefso0aksHNOKOY9E4Oth2J5HhjChWwBFJTq+3iazSeVWkAm7P4Og+6BWpNZphAakSDJ3kaP1m98eXKh1Ept18nI2E74/TOMaHnw8JAw7M5klKI/3+objdG0wV/IvMufwF1rHMVvbLmwjJjWGJ5s/ibO9838e1+lUluw9S7dZW/ktNoWJ3QLY+HwnOgdV1yBt2TSo7k6/8Fos2XuWK1kym1Que7/UF0pdX9U6idCIFEnmroo/BPaCQ4ugVLonm9rV3CLGLNyPs6M980a1oJKzg9aRKsSrkhPv9upL0bWWLDq2iOPpx7WOZHZ0qo7Zh2dT16MuDwY8+J/HjyZn0v/L3byx6ijN/DxZ92wnJvVsZPSeR4YwsVsgJTqVL7ed0jqK5ci/Bnu+0C97qNlc6zRCI1IkWYIWYyD3CsTLbdymVFSi44nFB7mcVcg3IyPxq+KqdaS70ie0Ju2rjkJX4sZrO96iVO6a/IdDeYc4ee0kT4c9jaPd/9+RllNYwrtrjvHg5ztJvpbHJ0PC+H5cawJ8LGez0HrelRgQXoul+85xWWaTymbPF1CYKWuRbJwUSZYgoDtUqaPfz02YhKqqvL4ylqikq8wc1JzwOlW1jnTXFEVhev/WKFf7kZgZz5JjS7WOZDaKdcX8lvEbjao2ole9XoD+PbAuNoUes7Yxf/cZhraqw+ZJXegXXsvkPY8MYUK3QHQ6lS+3ymzSHeVd1V9qa9oXaoRonUZoSIokS2Bnr1+bdGY7pJ3UOo1N+GbHaZYfvMDE7oE82NxP6zgG4+PhwptdhlKS3ZhPD80mOSdZ60hmYVXiKtJK0pgYMRE7xY7zV/MYs2A/Ty49RNVKTvz8ZDum9g/B0838GoeWVZ1qbjwUUZvvo86RkimL929rz+dQlAOdZRbJ1kmRZCnCR4Cdo8wmmcCmY5eZti6e3qE1ea57oNZxDG5QC3+au42hqFTljR2yZUlyTjJfRX9Ffef6tPZtz5wtifT4aBtRZ67yRu8mrHmmPRFWMJMI8Ey3AHQ6lS+2yGzSLeWmw96v9JvY+jbVOo3QmBRJlsLdB5o8ANFLoVh+CjSW4ylZPLvsMCG1PJk5sLlF3sl2J4qiMLN/Z9Sr93Lgyh7WnVmndSRNqKrKqsRVPPTrQ+SW5BJh35fen+1kxoYEujX24Y8XOvNYxwY42FvPl0l/LzcGtajNj/vPczFDvo7c1O5PoThP1iIJQIoky9JyrP521KO/aJ3EKqVmF/LYwgN4uDjyzcgWuDqZ/11LFVW7qhsvtx1DaX5t3t09jczCTK0jmdTVgqs8v/V53tz1JoGejYmwm8qCgzUoKC7lu9Et+HJ4JDU9LXuh/q083TUAFZU5WxK1jmJ+clIh6hsIGQTVLasfmjAOKZIsSd324N1ILrkZQUFxKeMXHyA9t5B5o1qYZVNAQxvRpgEBdo+SW5LF//Z8qHUck9l+YTsDVg9g+4Xt3O83jrhDQ9kYU0jv+o5ser4z3Rr7ah3RqGpXdWNwC39+OnCeC9fytI5jXnZ9AiUF0Hmy1kmEmZAiyZIoir4dQPIBSDmidRqroaoqr/wcw6FzGXwyJIxmtTy1jmQSdnYKnw7oTem1Tqw/+yv7UvZpHcmo8orzeHfPuzy9+Wk8nbxoonuTHzc3pFaVSqyZ0IFBjZysevbwRk93DUBBYY6sTfp/2Zdh/7cQOgS8A7ROI8yEFEmWpvnD4OCq/88sDGLOlkRWRV/kpV6NuLdZTa3jmFR970o8E/4UuiIvJm97m4IS6+yhcyT1CIPWDGLFiRW0rfYQp4+M5cBJF169rzErn2pHk5oeWkc0Kb8qrgxp6c/yA+c5f1VmkwD9LFJpEXR6SeskwoxIkWRpXKtAyEMQu0K/PknclXWxKczceIJ+YX481aWh1nE0Mb5TY/xKR5BemMynB7/UOo5BFeuK+ezwZ4xcN5KCkmLqF7/Ixp0taVLTi/XPdWJ854ZWtTC7PJ7q2hA7ReHzP2VtElkp+h88mw+Farb5dUDcnG1+dbB0LcZCcS7E/KR1Eot2NDmT53+KJqJOFaY/FGqRDQINwd5OYU7/IZRmRrA0fiEnrp3QOpJBnM48zfDfhzM3Zi6NKnUh+eiTnDrvy9T+zVg2rg31vStpHVFTNT1dGdrKnxWHLnAu3cZnk3Z+BGopdHpR6yTCzEiRZIlqRYBfuH4Bt433uKmoy1kFjF24n2qVnPl6RAuL2H/LmIJ8KzO68URKS1x4fvPrFr1liU7V8f3x7xm8ZjDns5LxzR9P1P6etGtQm02TOjGsdV2rbO1QEU91DcDeTuGzP224SW1mMhxcAGHDwKu+1mmEmZEiyVK1GANXjsG5vVonsTj5RaWMW3SAnIIS5o1qQfXK/93t3RY93z2caoUDOZcbz8KjP2gdp0Iu517miU1PMC1qGj4OwaTGTyD9ShCfPhzGt6NaWO1t/RXl6+HCsNZ1+OVwMklpuVrH0caOWfofNmUWSdyEFEmWqtlD4Owp7QDKSadTeXH5EWKTM/n04XCbW7B7O472dsx58DFKcwOZffhTLuVe0jpSuaw/s54Bvw7g0OXDeOY+zLHoQdzXJIg/JnWmb5hl7rdmCk92boiDncJntrg2KeMcHFoEESP0+2MK8S9SJFkqp0r6O92OrYLcNK3TWIxPNp/kt9gUXr2vMT2aWnc/nIoIqV2Fh+o8S4mulBc2v20RW5ZkFmYyeftkXtr+Eo46H66dfIaSjDbMG9mS2UPDqeYuM4W34+PhwvA2dVl5+AJnbG02aftMfWuVji9onUSYKSmSLFmLMfpbVg8v0TqJRVgdnczszScZ3KI24zo20DqO2Xq9Vwfc8+8n5tpu1p7aoHWc29qbspeHfn2I9WfW45pzP0mxjzI4LIKNkzpJEVwOT3RuiJODHbM329DapGtJ+m2eIkaBZ22t0wgzJUWSJfNprO/CfXA+6HRapzFrh89d46UVMbSq78X/+oXIpZfbcHG0Z/Z9EyktqMm7u6eSVZSldaT/KCgp4IOoDxi3cRw5BXZkn3kS17x7+X5cO6YNCMHDxVHriBalemVnRrSpy+roZE6l5mgdxzS2zwDFHjpO0jqJMGNSJFm6FmP0PxGd/lPrJGbrYkY+4xYdpIaHC18Nj8TJQd72d9Kqvg89fSaQr8vk9a0faB3nH46nH+fhtQ+z5PgSHHI6cOX4kzzWqjPrn+1Eu4beWsezWOM7N8TZwd42ZpPST0H0D/qvnx5+WqcRZky+W1i6Jg+CmzccmK91ErNUUKIyduEBCotL+XZUC7wqOWkdyWK83/s+XPI6szXlV/YmH9A6DqW6UubFzuOR3x7hfOZV8s6Nwbd4KCuf7Mpr9zexmS1FjMXb3ZmR7ery65GLJF7J1jqOcW2fCfaO0OE5rZMIMydFkqVzcNLfmZHwu77fh7hOp1P5OqaQhEtZfPZIOIG+lbWOZFHcnBz4sPvL6Iqq8MKWNygqLdIsy/ns8zy6/lE+PfQppTnBZCVOZGLbPvz6TAea+1fRLJe1Gd+pIa6O9ny62YrvdEtLhJhl0PIxqFxD6zTCzEmRZA0iR+v7fBxaqHUSs6HTqbyx+iiHr5TyVp+mdGnko3Uki9StkT9tPB8nqzSZqbvmmHx8VVX55eQvPLR6IDFX4slPHkJ99Ql+e6YXz/YIlEunBuZVyYlR7eqxNuYiJy5b6WzStg/AwQXaP6t1EmEB5CuMNahaDwJ6wMGFUFqsdRrNlZTqeHH5Eb7fd4776zsyql09rSNZtI8ffBj7vAh+Ob2IhHTTzTCk56cz8c+JvL37bfJy/Cg8O4lXOw3jlyfbEySzgkbzeMcGuDna86k1rk1KTYCjK/SzSO7yg5O4MymSrEXLsZBzCRLWaZ1EU0UlOiYuO8wvh5N54Z4gBgU5yp1sd8nDxZEpHV5F1Tny9MbX0KnGv5Nyy7kt9F3Vn23nd1JwqQ+hDi+x4ZkHGduhPvaypYhRVa3kxOj29fgtJoX4S+Z3Z+Nd2fYBOLjKLJIoMymSrEVgT/CobdMduAuKSxm/+AC/x17ijd5NmNA9UAokA+kX0phg5+FcLjrOnANLjTZObnEub+16m4lbJnItyxU1+Tn+1+1Jlo5tS51qbkYbV/zTuI4NcHd24NM/rGg26cpxOPoLtB4PleQuSFE2UiRZCzt7/dqk01v0t7famNzCEsYs2M/WE6m83z+Ex6RZpMF92Xc8SkEA38R9Rkr2ZYOf//CVw/RdOYCVJ1dSmNaFNi7v8MeEIQxpWUeKXROr4ubEmPb1WHf0EscuWsls0tbp4OQO7SZonURYECmSrEnECLBzsLnZpMz8YkZ+F8Xe0+l8NLg5j7SWPZiMwcvdmRcjXkenFvPk+rcMdt7i0mI+OvAJo9aNJiWzAMcrT/PxPa8xb2RrfD1cDDaOKJ+xHRpQ2cWBTzef0DrK3bt0VL+FU5snwM1L6zTCgkiRZE0q14DGvfWt9osLtE5jEldzixg2by8xFzKY80gE/cNlewFjGtmyBfXs+3Iqbzc/HL379W+nMk7Rf9UQ5sd9S2FGBN0rT2fz04/SO7SmzB5pzNPNkTHt67Mh7jJxFzO1jnN3tk4DZw9o+7TWSYSFkSLJ2rQYC/nX9D81WbkrWQU8PHcPJy/nMHdEC+4Lqal1JJvwdd8XoKgGH+6fRlZBxW4T16k6vo1ZyIDVgziTcRGXq2P56t4PmP1wW6pKw0+zMaZDfSq7OPCJJa9NSjkC8WuhzVPgWlXrNMLCSJFkbep3gmoBVn/JLTkjn8Ff7+HCtXzmP9qSro3ldl5TqeVZmceavEyxksEz698v9/Mv5V5i8OrRfHJ4JkXZAfT2msmWp56hq/SyMjuero481qEBm45dJvaChc4mbZ0OLp7Q5kmtkwgLJEWStVEU/X5E5/fpr8NboaS0XAZ/tYf03CIWj20t+3VpYGL7HvjQlUMZv7Hp1L4yP295/K/ct6Iv8dficM8eyoL7v+TD/h1wd3YwYlpxNx7tUA9PV0c++cMC1yYlH9LvRtB2ArhW0TqNsEBSJFmj5kP1HWWtcDbpxOVsBn29h/ziUn4Y14bIujJ9rgVFUZjb+00o9eC1HW/fccuSzMJMRvw6gXf3vU5hvjf9qs9iy/jJtG5QzUSJRUV5uDgyrmN9Nsdf4cj5DK3jlM/W6fpLbK3Ha51EWCgpkqyRmxcED4CYH6HQerYWOJqcyZCv96AAPz7ehma1PLWOZNMCqnszsO5ECpRkXtgw+5bHrUvcRrdlfTh8dTue+Q/yQ+9F/K9PF1wcZUNaSzGqXT2quFnYbNKFA3Byg/6WfxcPrdMICyVFkrVqORaKciDmJ62TGMTBs9cY+s1e3Jwc+Gl8W9ms1ky81W0QHqURbL28lAPJ//wGmlecx9g1r/PyrmcoKHRiYM0P2TLuPZr7y+yRpans4si4jg3YkpDK4XPXtI5TNlveB7dq0OpxrZMICyZFkrWqFQk1QuDAfP3mtxZs96k0Rny7j2qVnPjpibbU866kdSTxFzs7hc97vYuqOjBx0+vodPotS7acOUinpf2IuvorVYq78dMDPzKlVy8c7eVLjqUa1a4eVd0cLeNOt3P74NRmaDcRnOUHKlFx8hXLWimKvh3A5Vi4sF/rNBW2Jf4Kj87fT+2qrvw0vi21qrhqHUn8S3itunT3HUO2Es9bf37HnLO/M2HbGApK8xhU6z22jfmE4JqyuN7SuTs78Hinhmw7kcrBs2Y+m7T1fXDzhlbjtE4iLJwUSdYsZBA4VbbYBdzrYlN4fPEBAn3dWfZ4W3yk+7LZmnnv47iUBrA6+VPiWUdVtQU/9V7BWz36YScb0lqNkW3rUq2Sk3mvTTq7G05vhQ7Pg5PMOou7I0WSNXN2h+ZD9Js65l3VOk25/HLoAk9/f4jQ2lX4flwbvKTBoFlztLdnZpf/4VLakDZ2w9k+eh5Na9TQOpYwsErODozv3IAdJ9M4kGSmX1O2vA+VfPStUIS4S1IkWbsWY6C0UL9ViYVYuu8sLyw/QpsG1Vg0phUeLo5aRxJl0LlBMPvHrGKYf2vZUsSKDW9TF293Jz42x9mkM9shaQd0nAROblqnEVZAiiRr5xsM/m30C7j/WlRrzubtOM3rK4/StZEP341uSSVpMiiEWXFzcuCJzg3ZlZhO1Bkzmk1SVdgyDSrXhMjRWqcRVkKKJFvQcixcPQVntmmd5JZUVWX25pP877fj3B9Sg6+GR0ofHSHM1LDWdfF2d+bjTWY0m3RmG5zbDR0mgaPc4CEMQ4okW9C0r75fiJku4FZVlQ/WJ/DRphMMiKjF7IfDcXKQt6YQ5srVyZ4nuzRkz+l09pxK1zrOX7NI74NHLYgYqXUaYUXkO5EtcHCGsGEQ/xtkpWid5h90OpUpv8bx1bZTDGtdh5kDm+MgvXSEMHvDWtfBp7IzH/9xAlXrXmynNuv3q+z4AjjKXbDCcOS7ka1o8SiopXB4sdZJrivVqUz+OYaFe84yrmN9/tevmdwuLoSFcHG056kuDYk6c1Xb2aS/1yJ5+kP4CO1yCKskRZKt8GoADbvBwQVQWqJ1GopLdTy77DDLD17g2e6BvHZ/E7kjSggL83CrOtTwcNF2NunkJkg+AJ1eBAdpFSIMS4okW9JiLGQl6zd91FBBcSlPLjnI2pgUXr2vMc/fEyQFkhAWyMXRnqe6NmR/0jV2JWowm6SqsGUqVKmrX1IghIFJkWRLgu6Fyn6aLuDOKyph3KID/HH8Cu/1DWZ854aaZRFC3L0hLf2p6anRbFLCOkiJhs4vg730UxOGJ0WSLbF3gMhRkLgZrp4x+fDZBcWM+i6KXYlpzBzUnBFt65k8gxDCsJwd7HmqawAHz15jx8k00w2sqvo92qrWh9CHTTeusClSJNmaiJGg2OnXJplQRl4Rw+bt4/C5DGYPDWdgZG2Tji+EMJ7BLWrj5+nCR5tMOJsUvxYuxULnyfofAIUwAimSbI2HHzS6T3+XW0mhSYZMzS7k4bl7ib+UzdcjIukT6meScYUQpuHsYM8z3QKJPp/B1hOpxh9Qp9Pf0VYtQL+RtxBGIkWSLWo5FvLS4divRh8qJTOfIV/v4Wx6Ht+Nakn3Jr5GH1MIYXoDI2tTq4orn5hiNun4r3AlTmaRhNFJkWSL6nfRX8c38gLuc+l5DPpqD6nZhSwa24oOgd5GHU8IoR0nBzsmdAvgyIVMtiRcMd5AulLYOg28g6DZQ8YbRwikSLJNdnbQYox+n6PLx4wyROKVHAZ9vZucwhKWjmtNy3peRhlHCGE+Hoqsjb+XK5/8cdJ4s0lxKyE1Hrq8Anayv6MwLimSbFXYMLB3hoPzDX7qYxezGPL1Hkp1sOzxNoTWrmLwMYQQ5sfR3o4JXQOJuZDJ5uNGmE3SlcK2D6B6E2ja3/DnF+JfpEiyVZWqQXA/OLIMCnMMdtrD567x8Nw9ODnY8dP4NjSu4WGwcwshzF//iFrU8XIzTt+koz9D2om/ZpHk25cwPnmX2bIWY6EwC46uMMjp9p1OZ/i8fVRxc+Kn8W1pUN3dIOcVQlgOR3s7JnYPJO5iFhuPXTbciUtLYOt08G0GTR403HmFuI07FkmKovgrirJFUZRjiqLEKYryrCmCCRPwbwU+wbD/W31jtruw7UQqo+ZHUbOKK8ufaIu/l5uBQgohLE2/MD/qe1fikz9OotMZaDYpdjlcPSWzSMKkyvJOKwFeUFW1KdAGeFpRlKbGjSVMQlGg5Ri4FAPJhyp8mg1xlxi38AANvN358fE2+Hq4GDCkEMLSONjr73Q7npLFxmOX7v6EpcX6tUg1QqFxn7s/nxBldMciSVXVFFVVD/31+2zgOFDL2MGEiYQMBsdKFW4HsDo6maeWHqKpnwc/jGtDNXdnAwcUQliiB5v70cBQs0lHlsG1M9D1Nf0Pd0KYiFKehXWKotQDtgPNVFXN+tdjjwOPA/j6+kYuW7bMgDH/KycnB3d3y1vzYo65gxK+wPfyFva0nU+J482z3Sz3tgvFLDhaRFBVO56LdMHVwfy+eJnj610WlpobLDe75Da83RdLmBtTyNNhzrSs8c+mj2XNrehKaBX1JMWOHhyKmKl5kWTOr/ftSO7b69q160FVVVv85wFVVcv0C3AHDgID7nRsZGSkamxbtmwx+hjGYJa5U2JU9W0PVd3zxS0P+Xfu73aeVutOXquO/HafmldYYuSAFWeWr3cZWGpuVbXc7JLb8EpKdWq3mVvUez7aqpaW6v7xWJlzH5iv//qUsMHg+SrCnF/v25HctwccUG9Sz5Rp9ZuiKI7Az8BSVVV/MVztJsxCjRCo3VJ/ya0MM4tztiTyzppj9Ar2Ze7ISFydpKGbEOK/7O0Unu0RxInLOfwWm1L+E5QUwfaZUKsFBN5j+IBC3EFZ7m5TgG+B46qqfmT8SEITLcbq+48k7bjlIaqqMmNDPDM2JNAvzI85j0Tg7CAFkhDi1nqH1CTQx51PN5+ktLxrkw4vhszz0PVVzS+zCdtUlpmk9sAIoJuiKNF//brfyLmEqQX3A5cqt1zAraoq7649xpwtpxjayp9Zg8NwsJfbcIUQt6efTQok8UoOa2Mulv2JxQWwYxb4t4aG3Y0XUIjbuOP2yaqq7gSkhLd2jq4QPhz2fQXZl6Gy7/WHSnUq8+OK2H4hiUfb1+OtPk1R5Kc6IUQZ3d+sJo18E5m9+SR9Qv2wtyvD149DiyArGfp9IbNIQjMyFSD+X+SjoCvRT3H/RadTeXlFDNsvlPBM1wApkIQQ5Wb312zSqdRc1hwpw2xScT7s/AjqtIP6nY0fUIhbkCJJ/D/vAP0XpIMLQFeKqqq89etRfj50gX4BjrzYq5EUSEKICrk3uAaNa1Rm9uaTlJTqbn/wwQWQnSJ9kYTmpEgS/9RyLGSeRz25kWnr4lmy9xzjOzegb0NHrZMJISyYnZ3Ccz2COJ2Wy+ro28wmFeXBjo+gXkeo39F0AYW4CSmSxD81uh/ca3Bm/efM3X6akW3r8sq9jWUGSQhx13oF+9K0pgef/XmbO90OfAe5V/SzSEJoTIok8U/2jhz0foB6V3cxLsSeKQ8ES4EkhDAIRVF4rkcgSel5/HSiiPNX8/55QFEu7PwYGnSBuu00ySjEje54d5uwLYv3JPFFfCi7XBRe9Y3Czu5erSMJIazIPU196dHEhw3Hr7Dhwy00relBz2BfejatQZPT36HkpUEXmUUS5kFmksR1Kw5e4M3VcQQ3aQJBvbA7vEjf8VYIIQxEURTmjWrJ9I6uvHZ/Y9yc7Pl080kGzd5I5h8zSfRozb6SgPI3nhTCCGQmSQCwNuYiL684QsdAbz5/JAK7pMfgxDqIXwvNBmgdTwhhZWpUsuPhTg15vFNDUrMLubhmKlVOZPPY1T4cmLsXr0pOdG/sQ8/gGnQM9MbFUbr7C9OTIkmw+fhlnlsWTWTdqnw9IlL/xahhN6hSV7+IUookIYQRVXcspPq5hRDYiwUDn2JbQiobj11ifdwllh+8gKujPZ2CvOkVXINujX2o4uakdWRhI6RIsnE7T6bx5NJDNPXz4LvRLXFz+ustYWcHLR6FP6ZAaoKmGYUQVm7f11CQAV1ewd3Zgd6hNekdWpOiEh37zqSzMe4yG49dYkPcZeztFFrX96JnU1/uCa5BrSquWqcXVkyKJBt2IOkq4xYdoIF3JRaNaUVll3/1QgobDn9OhQPzwVUWcAshjCA/A/Z8pm8/UiviHw85OdjRMbA6HQOr886DwcQmZ7Ih7hIbj11myppjTFlzjGa1POjVtAY9g2sQ5Osud+MKg5IiyUbFXMjg0fn7qenpwuKxrW8+fe1eHZr2hSPfY9eyq+lDCiGs394voSATurxy28Ps7BSa+1ehuX8VXr63MadSc9h07DIb4y4xa9MJZm06Qd1qbvRs6kvP4BpE1Klatj3ihLgNKZJsUPylLEZ+F4WnmyNLx7WmemXnWx/cciwcXYHPlR1AL5NlFELYgPxrsPcLaNwHajYv11MbVnenYWd3nujckCtZBWw6fpmNcZdZsDuJb3acwdvdiR5NfOkZ7Eu7hrLwW1SMFEk25nRqDsPnReHsYMf3j7WhpucdrufXaQvVm1AreS3o3gE7+UIjhDCQPXOgMAu6vHpXp/HxcGFY67oMa12X7IJitiaksvHYZdbGpLBs/3ncnOzp0qg6PZvWoGtjHzxdZZslUTZSJNmQ81fzGDZvH6qqsvSxttSp5nbnJykKdHqRyj+PhW0fyFYBQgiDcCjOgv1fQtN+UKOZwc5b2cWRB5r78UBzPwpLStl7+iob4i6x6dhlfo+9hIOdQtuG1fQLv5vWoIani8HGFtZHiiQbcTmrgGHz9pFbWMKyx9sS4ONe9ieHDCRl11JqbvtQP7PUUNYnCSHujv/5VfptSO6wFuluODvY0zmoOp2DqvO/vs2IvpChv1Mu7hJvro7jzdVxNK/tSc/gGvQK9qVhdVn4Lf5JiiQbkJ5TyLB5+0jPKWTJY61p6udR7nOcDBxPzdKL8Mvj8MROqOxrhKRCCJuQm0btC7/pe7D5NDHJkHZ2ChF1qhJRpyqv3NeYxCs5bDx2iY1xl5mxIYEZGxJo4F2Je/7aIiXcvwp2svDb5kmRZOUy84oZ8W0UF67lsfDRVoTXqVqh8+jsXWDQApjbFX4eCyNXy/okIUTF7PoUO10RdDbeLNKdBPi4E+ATwFNdAriU+ffC70t8u+MMX287TfXKzvRo4kuvYF/aNqyGs4N8vbNFUiRZsZzCEkbNjyLxSg7fjGpB6wbV7u6EPk2g90xY/TRsn2HUaXIhhJU6uwf2fsll307UqB6kdRoAani6MKJNXUa0qUtmfjFbE66w8dhlfo1O5oeoc7g7O+gXfgfXwLlE9pSzJVIkWan8olLGLthPbHImXwyLoHNQdcOcOGwYJO2ErdP165MadDbMeYUQ1i8zGX4aCVXqkBgwjhpa57kJT1dH+obVom9YLQqKS9lzKp2Nx/QLv9fGpFDPw46uXXQ4Ocj+8LZA/pWtUGFJKU8sOUhU0lU+GtycXsEG/FKkKHD/TPAOhF/GQc4Vw51bCGG9igvgx+FQnAcPf0+JYzluHtGIi6M9XRv7MG1AKPte68HMQc1JytLx+Z8ntY4mTESKJCtTUqpj4g+H2XYilekDQugbVsvwgzi7w6CFUJClL5R0pYYfQwhhPVQV1j4PFw9B/6/Bp7HWicrN3k5hYGRt2vs5MGfrKaLPZ2gdSZiAFElWpFSn8sLyI2yIu8zbDzRlSMs6xhvMtync/yGc3go7ZhlvHCGE5YuaC0e+1y/UbtJH6zR3ZVgTJ3wrOzPpp2gKiuUHRGsnRZKVUFWVN1bFsjr6Ii/1asSj7esbf9DwERAyGLZOgzM7jD+eEMLynNkB61/Vb2DbebLWae6am6PCjEHNOZ2aywfr47WOI4xMiiQroKoq7649xg9R53mmawBPdw0wzcCKAn0+Bq+G8PNjkJNqmnGFEJYh4xwsHwXVGuovs9lZx7ec9gHejG5Xj/m7ktidmKZ1HGFE1vGOtXGzNp5g/q4kHm1fjxd6mviWWmd3ff+kgoy/1ifpTDu+EMI8FeXBskegtAQe/gFcyt/E1pxNvrcxDbwr8dKKGLIKirWOI4xEiiQLN2dLIp9vSeThlv681aepNi31azSD+z6A01tgp6xPEsLmqSr8OgEuHYWH5oG3iWa3TcjVyZ5Zg5uTkpnPu2uOaR1HGIkUSRZs/q4zzNiQQN8wP6b2D9F2z6GIUdBsIGx5H5J2aZdDCKG93Z/B0RXQ/U0I6ql1GqMJr1OVp7oEsOLgBTYdu6x1HGEEUiRZqB/3n+OdNcfoFezLrEHNsdd6jyFFgQc+gar19duW5Mp1eiFsUuJm+ONtaNoXOkzSOo3RTeweSNOaHrz6SwzpOYVaxxEGJkWSBVodncwrv8TSOag6s4eG42BvJv+MzpVh8ELIu6rfCFfWJwlhW66ehhVjoHoT6PuF/ocnK+fkYMdHQ5qTlV/C6yuPoqqybYk1MZPvrqKsNsRdYtJPR2hVz4uvhkea36aLNULg3mlwajPs+kTrNEIIUynMgWXD9L9/eKn+pg4b0biGB5N6BrE+7hKropO1jiMMSIokC7LtRCoTvj9MSC1Pvh3dElcnMyuQ/tZiDAQPgD//p9/MUghh3VQVVj0JqfH6u129TNCnzcyM69iAFnWr8tbqOFIy87WOIwxEiiQLse90OuMXHyDAx52Fj7bC3dmM9yZWFHjgU6haVz/1npuudSIhhDHtmAnHf4V73oOGXbVOowl7O4VZg5tTqlN5eUWMXHazElIkWYDD564xZsF+ald1Y/HYVni6OWod6c5cPPQ/Uealwcrxsj5JCGuVsB7+nKrvvt/2aa3TaKputUq8dn8TdpxMY8nes1rHEQYgRZKZO3Yxi1HfRVHN3ZklY1tTzd1Z60hlV7M59HofEjfB7tlapxFCGFraSX0T2Zqh8OBsm1iofSfDWtehU1B13v89njNpuVrHEXdJiiQzlnglmxHf7qOSswNLH2tNDU8XrSOVX8vH9LcCb34Xzu3VOo0QwlAKMuGHoWDvBEOWgqOr1onMgqIofPhQKI72Ci/8FE2pTi67WTIpkszUufQ8hs3bh6IoLH2sNf5eblpHqhhFgQc/gyr++vVJeVe1TiSEuFs6HfwyXn/L/+CF+v/f4roani68168Zh85l8PX2U1rHEXdBiiQzdDEjn0fm7aWwRMeSx1rRoLqF30rr4qlfn5SbCiufkPVJQli6rdPgxDq4dzrU66B1GrP0YHM/eofU5ONNJzh2MUvrOKKCpEgyM6nZhQyft4/MvGIWjWlF4xpWsimkXzj0nAonN8Cez7VOI4SoqGO/wvYPIXw4tBqndRqzpSgK7/VrhqerE5N+iqawpFTrSKICpEgyI9dyixg+bx8pmQXMf7QlobWraB3JsFqNgyYPwOZ34HyU1mmEEOV1+Zh+NrhWC7h/lizUvgOvSk588FAI8Zey+fSPk1rHERUgRZKZyCooZtT8KM6k5zJvVAta1PPSOpLhKQo8+Dl41JL1SUJYmvxrsOwRfSftIYvB0QJvJNFA9ya+DGnhz1fbTnHwrHzNszRSJJmBvKISxi7Yz7GLWXw5LIL2Ad5aRzIe1yr69UnZl2DVU/pOvUII86YrhRVjIfMCDF4MHn5aJ7Iob/RpQk1PV1746Qh5RSVaxxHlIEWSxgqKS3l80UEOnr3GJw+H0b2Jr9aRjK9WBPR8T7/wc88crdMIIe5k87v6/Rh7z4Q6rbVOY3Equzgyc1BzktLzmL4uXus4ohykSNJQcamOZ74/xM7END4c2Jw+oTb001nrJ6BxH/jjbbhwQOs0QohbOfqzfrPqFmMgcrTWaSxW24bVGNuhPov2nGXHyVSt44gykiJJI6U6led/jOaP41d4r28wAyNrax3JtBQF+n6un7Zf/qh+vYMQwrykxMCqp6FOW7j3A63TWLyXejUiwMedl5bHkJlfrHUcUQZSJGlAp1OZ/HMMa2NSePW+xoxoW0/rSNpwrQoDF0B2iv4LsaxPEsJ85KbDsmH6/6eDF4GDk9aJLJ6Loz0fDW5Oak4h7/wap3UcUQZSJJmYqqpMWRPHioMXeLZ7IOM7N9Q6krZqR8I970DCb7DvK63TCCEASktg+SjIuQwPLwF3H60TWY3Q2lV4pmsAvxxOZv3RFK3jiDuQIsmEVFVl+YliFu05y+OdGvBcj0CtI5mHNk9Bo/th45uQfFDrNEKITW9C0g544FOoFal1GqvzTLcAQmp58trKo6RmF2odR9yGFEkmUlKqY/r6eH4/U8zwNnV49b7GKNKITU9RoO8cqFwDlo+G/AytEwlhu6J/gL1fQOsnIWyo1mmskqO9HR8Nbk5OYQmv/hKLKksNzJYUSSZwKbOAR+bt4+ttp+ni78C7DzaTAunf3Lxg4HzIugirZX2SEJpIPgRrnoV6HfVtOoTRBPpW5uVejfjj+GVWHLygdRxxC1IkGdmW+CvcP3sHR5MzmTWoOaODnbGzkwLppvxbQo8pEL8WouZqnUYI25JzBX4cDu6+MGgh2DtqncjqjWlfn1b1vXh3zTEuXMvTOo64CSmSjKS4VMe034/z6IL9+FR25tdnOvCQrd3mXxFtn4Gge2HD6/qfaoUQxldSBD+N1G8V9PBSqFRN60Q2wc5OYdag5uhUlZeWx6DTyQy6uZEiyQjOX81j8Nd7+Hr7aYa1rsOqp9sT4OOudSzLoCjQ70v9T7MrHoWCTK0TCWH91r8C5/boe5fVDNU6jU3x93LjzT5N2XM6nYV7krSOI/5FiiQDW380hd6zd5B4OYc5j0QwtX8ILo72WseyLG5eMPA7yDgPv06Q9UlCGNPBBXDgW2j/LIQM1DqNTRrS0p9ujX2Yvi6exCs5WscRN5AiyUAKikt5e/VRnlhyiHrelfhtYkd6h9bUOpblqtMaur8Fx1bD/nlapxHCOp3bB7+9CA27Qfe3tU5jsxRFYfqAEFyd7Hlh+RFKSnVaRxJ/kSLJAM6k5fLQl7tZuOcsYzvUZ8UT7ahTzU3rWJav3UQI7AkbXoOL0VqnEcK6ZKXATyPAszY89C3YyYy3lnw8XPhfv2YcOZ/Bl1tPaR1H/EWKpLu0OjqZPrN3kJyRz7yRLXizT1OcHORlNQg7O+j3Fbh56/snFWRpnUgI61BSqL+TrTAHHv5ef4lbaK5PqB8PNvfj080nOZos6zHNgXw3r6D8olJe+TmGZ5dF06SmB79P7EiPpr5ax7I+lar9tT7pHKyZKOuThLhbqgq/TYLkA9D/K/BtqnUicYN3+wbjVcmJST9FU1BcqnUcmydFUgWcvJxN3zk7+fHAeZ7u2pBlj7fBr4qr1rGsV9220O0NiFupX2AqhKi4/fPg8BLo9DI0fVDrNOJfqrg58cHAUE5czuHjTSe0jmPzpEgqB1VV+Wn/eR74fCdXc4tY+GgrXurVGAd7eRmNrv1zENAD1r8GKUe0TiOEZUraqb/dP+he6PKq1mnELXRt5MMjreswd8dpos5c1TqOTZPv7mWUU1jC8z9G8/LPMUTUqcrvEzvSKai61rFsh50d9P9av3ZC1icJUX4Z5+GnUVC1PgyYq/8/JczW6/c3wb+qGy8uP0JuYYnWcWyW/C8pg7iLmTzw2U5+PXKRSfcEsXhsa3w8XLSOZXsqeevvwrmWBGufk/VJQpRVcT78OAxKi2DoD+DiqXUicQeVnB2YOag556/lMfX341rHsVlSJN2Gqqos3pNE/y92k1dUwg/j2jCxeyD2sveaduq1h66vw9Gf9U3whBC3p6r6TWtTYmDAN+AdqHUiUUat6nvxeMcGfL/vHFsSrmgdxybdsUhSFOU7RVGuKIpy1BSBzEVmfjFPLT3Em6vjaNewGr9P7EjrBrKfkVnoMEnf/G7dZPi/9s47TKoq6cNvTSINkgQkKEhURERAWBRQUDGDIoKuAoJx1TXnNX3qml1zVlQMK5gTigFzBFRAMaGoiIgiCJJhpr4/6szajgMM40yf2zP1Ps889O3uGX739u1zf7dOnaofp8dW4zjJ5t2bYdpYu7lov3tsNc4GctKu7WjXOJ8zHpnGr8tWxZZT5ShNJOkeoEp9sz6a/St7Xf8GL86Yx9l7bsHoEdvRIL9abFlOEVlZsN/tUKOe5Set/C22IsdJJl+9Ai+cA1sOgD6nxlbjlIHqudn8Z0hnFixdxXlPfhJbTpVjvSZJVV8HqkR6fWGhcsfrXzP4lrdRhXFH9+TIPq3J8um15JHfEAbfBQu+hmdO8vwkxynOglnWJLrhFtY0Wnwcy1Q6NqvDCTu35ampP/DMtB9iy6lSiJbi4iIiLYFnVLXjOt5zJHAkQOPGjbs+9NBD5aWxRJYsWUJ+fn65/b3fVil3Tl/J1J8L6No4m1Edq1Ert/wHlfLWnS6SqrvFN+PY/JsH+Lzdscxt2v9PrydV9/rIVN2Qudork+6sghV0+eB0qq2cz5SuV7OiRvL6SFam450OCgqVf7+3gnnLCvn3DjWoW33DUor9eK+bvn37TlHVbn96QVXX+wO0BD4uzXtVla5du2pF88orr5Tb33rv61+0x79f0rZnj9d7356lhYWF5fa3i1OeutNJYnUXrFG9d4DqRY1U507/08uJ1b0eMlW3auZqrzS6CwtVxw5XvaCu6pcvRtFUGirN8U4jM3/6Tdv9a7yOvPv9Db5O+fFeN8BkLcHPVOnVbQWFyo0Tv+TA29+hem4Wjx2zPcN7tkQ8LJ05ZGXbip3qdUJ+0pLYihwnLm9eAzOegF0usAKsTqWhdcN8ztxjCyZ+9hNjJ82OLadKUGVN0k+/rWDE6Pe56oUv2LtTU545vjcdm3ntkIwkvxHsfycs+Mp6Unl+klNV+fJFePlC6DgYtj8+thqnAhjRsyU9WzXgomdmMHvBsthyKj2lKQHwX+AdoL2IfC8ih1W8rIrlzS/ns+d1bzL52wVcvv/WXHdgZ/Kr5cSW5fwVNu8DO55hS50/vD+2GsdJP798BY8cBpt0hAE3eKJ2JSUrS7hqyDZkiXDKw1MpLPSbwoqkNKvbDlLVJqqaq6rNVTVjO4yuKSjkqgmfM2z0e9SrmctTx/Vi6Hab+fRaZaHPaWaWxp8G82bEVuM46WPFYvjvQZCdAwc+CHk1YytyKpBmdWtw3j4deH/WAka/NSu2nEpNlZlum7toOQfd8S43vjKTIV035anjetGuce3YspzyJCsbBt0J1WpbftKqpbEVOU7Fo4Xw+NHwy0w44B6ou1lsRU4aGNy1Obts2ZgrJnzOl/O8VlxFUSVM0sTP5rHndW8w44fFXDu0M5cP7kSNvOzYspyKoHZj2P8OmP8FPOvF85zKT4tvx8Hnz8Jul1gk1akSiAiXDtqa/Go5nDTuI1YXFMaWVCmp1CZp1ZpC/v3sDEbdM5kmdWrw9D97se+2zWLLciqaVjvBjqfD1AfZZO7LsdU4TsXx2bNs/s1/YZu/Q4+jYqtx0kzD2tW4ZL+OfDxnMTdOnBlbTqWk0pqk2QuWccBt73DHG7MY3rMFjx2zPa0aZl4hLaeM7HgGtOxN2y9vhXleyt+phMz/Eh47isW128Le13iidhVl945NGLRtM258ZSbTvv81tpxKR6U0Sc9Nn8ue17/B1z8v4dZDunDhwI5Uz/XptSpFVjbsfydrcmrB2GGwYlFsRY5TfqxcAmMPgZw8PtnqDMitHluRE5HzB2xFo9rVOGnsR6xYXRBbTqWiUpmkFasLOPeJj/nHAx/QqmE+44/vze4dk1eO30kTtTdhRofTYOE38MQxXj/JqRyowtMnWN7d4NGsrN4wtiInMnVq5HLF4E589fNSrpzweWw5lYpKY5K+/nkJ+938Nve9+y1H9mnFw0f1ZNP6vgy2qrOo7law64Xw2TPw9vWx5TjOX2fSnfDxI9D3X5Z/5zhA77YNGd6zBaPfmsU7X/0SW06loVKYpCc+nMPeN7zJj4uWM/rQbpy955bk5VSKXXPKg57HQoeB8NIFMOuN2Gocp+zMngTPnwXtdodeJ8dW4ySMM/fYghb1a3Lqw1P5bcXq2HIqBRntJJatWsPpj0zlxLEf0bFpHcaf0Jt+WzSOLctJGiIw4Eao3xoeGQWL58ZW5DgbztL5MG441GkG+90KWRk9fDsVQM28HK4e0pm5i5Zz8TOfxpZTKcjYb9mc3woZeONbPDzle47v14YHj+hBkzo1Ystykkr1jWDofbBqiRWaLPC7LCeDKCwwg798AQy5D2rUi63ISShdW9Tj6B1bM3bybF6aMS+2nIwn40ySqvLQ+9/xf+8sZ+Gy1dx/WA9O7t+enOyM2xUn3TTa0npazX4XXjwvthrHKT2vXAKzXoO9roYmnWKrcRLOCbu0ZYtNanPmY9NZsHRVbDkZTcY5i4JCZdzk2bStl8VzJ/RmhzYbx5bkZBJbD4buR8G7N8PHj8VW4zjr5/Pn4I2roMtw2PaQ2GqcDKBaTjbXDO3MouWrOOeJ6aiv7C0zGWeScrKzGH3odpzSrToNa1eLLcfJRPpfDM27w5PHwc++XNZJMAtmwWNHQZNtYI8rY6txMogtm2zESbu2Y/z0H3lq6g+x5WQsGWeSAOrWzCPLq8s6ZSUnzxqB5tawgnwrvTmkk0BWL4dxw2zhwZAxXjDS2WCO6tOaLpvV5dwnPmbhCu/tVhYy0iQ5zl+mTjMYPNo6pz/1Ty806SSP8afCj9Nh0B1Qr2VsNU4Gkp0lXD2kM6sLlNunrfQmuGXATZJTdWm1I/Q7Fz55HN67NbYax/mdKffCh/dDn9OhXf/YapwMZvONa3HRvh35dEEhpz48lcJCvyHcENwkOVWbXidB+73ghXPgu3djq3Ec+OFDGH8atO4HO50ZW41TCRjctTmD2+Xy5Ec/cOEzMzyRewNwk+RUbURgv1ug7mYwbgQs+Sm2Iqcqs2yBFYys1RAG3WmNmh2nHNhr81wO67U597z9DTe/+lVsORmDmyTHqV7HCvStWGQF+wrWxFbkVEUKC+Hxo6wi/JAxUKtBbEVOJUJE+NeeW7Lfts24csLnPPjed7ElZQRukhwHYJOOsM+18M0bMPHC2GqcqsgbV8GXL8Ael0HzrrHVOJWQrCzhisGd6Nu+Iec8MZ3npnuLpvXhJslxitjmQOg2Ct66Dj59OrYapyox82Wrqt1pKHQ7LLYapxKTm53FzQd3ZdvN6nHCQx/x9lfzY0tKNG6SHCeV3S+Dpl3g8X/A/Jmx1ThVgV9nw6OHQ6MOsPe1lifnOBVIjbxs7hrRjZYb1+TIMVP4eM6i2JISi5skx0klp5rlg2TnWiG/VUtjK3IqM2tWwsMjoHCNNWDOqxlbkVNFqFszjzGjelCnRi4jRr/PrPk+1pWEmyTHKU7dTWH/O+GnT+HpE73QpFNxTDgb5kyBfW+GBq1jq3GqGJvUqc59h3VHgWF3vce8xStiS0ocbpIcpyTa7Ax9z4bp42DSnbHVOJWRqWPt3Nr+eNhyn9hqnCpKq4b53DNyOxYuXcXwu95n0bLVsSUlCjdJjrM2ep8KbfvD82fB7Emx1TiViXmfwNMnQItesPP5sdU4VZxOzety+/BuzJq/lMPuncTyVQWxJSUGN0mOszaysmC/22CjJpY3stRXgTjlwIpFMHaY1ecaPBqyc2Irchx2aLMx1x7YmSnfLeS4Bz/wPm8BN0mOsy5q1rdCk0vnw6OHQaHfYTl/AVV44hhY+A0ccA/UbhxbkeP8jz23bsJFAzvy8mc/ccaj07zPG26SHGf9NO0Me10FX79qtWwcp6y8fT189gz0vwha9IytxnH+xCF/a8HJu7bjsQ/mcNnzn8WWEx2P8zpOaegyHGa/b1WRm3eD9nvEVuRkGrPegJcugA4D4W/HxFbjOGvln/3a8MuSldz++tfUr5XH0TtW3ZWXHklynNKy55WwSSd47ChYMCu2GieTWDzX+gLWbw0Db/KCkU6iERHO32cr9tmmKZc99xnjJs2OLSkabpIcp7Tk1rCCf4IVmly9PLYiJxMoWA2PjLTCpEPvh2q1YytynPWSlSVcfcA29G67MWc+No0XZ8yLLSkKbpIcZ0Oo1xIG3QE/TodnT/FCk876efF8+O4dGHA9NNoithrHKTV5OVncekhXtm5el+Me/ID3vv4ltqS04ybJcTaUdrtBn9Phowfgg3tjq3GSzCePw7s3QfejYOvBsdU4zgZTq1oOdx+6Hc3r1eDweycz44fFsSWlFTdJjlMWdjoTWveD8afBnA9iq3GSyM9fwJPHQfPu0P/i2Gocp8zUr5XHmMN6kF89h+Gj3+e7X5bFlpQ23CQ5TlnIyoZBd0J+Yxg3ApYtiK3ISRIrl1jeWk51q4eUkxdbkeP8JZrVrcF9h3VnTWEhw0a/x0+/VY0+b26SHKes1GoAQ+6FJT/CY0dAoVeodbA8taePh/lfwOC7oE6z2Iocp1xo06g2dx+6HT8tXsmhoyexeEXl7/PmJslx/grNusLul8HMl+D1K2KrcZLA+7fDx49Cv3Og1U6x1ThOubLtZvW4dVhXvpj3G0fcO5kVqyt3FwI3SY7zV+k2CrY5CF69DL58KbYaJyaz34cJZ0P7PWGHk2KrcZwKYcd2Dbl6yDa8/80Cjv/vh6ypxH3e3CQ5zl9FBPb6DzTeCh47HBZ+G1uRE4MlP1t+Wp3msO8t1iDZcSopAzs34/y9O/DCjHn86/GP0UpaDsW/xY5THuTVhCFjrAHuuOGwumokNTqBgjXw6ChYvsAaIteoG1uR41Q4h+6wOcf3a8PYybO5YsLnseVUCG6SHKe8aNAa9rsV5n4Ez58RW42TTl75N8x63SKKTTrFVuM4aeOkXdvx9x6bccurX3HnG1/HllPuuElynPJki72g10kw5R748IHYapx08Nl4ePM/0PVQ2Pbg2GocJ62ICBcN7MieW2/Cxc9+ymMffB9bUrniJslxypu+50DL3vDsyTB3Wmw1TkWy4Gt4/Gho0hl2vzy2GseJQnaWcM3QzmzfugGnPTKNiZ9Vnj5vbpIcp7zJzoHBd0ONelZQcPmvsRU5FcGqZTB2uCXuDxkDudVjK3KcaFTLyeb24d3o0GQjjnngAyZ/UzkK7LpJcpyKIL8hHHAvLPreIg1eaLJyoWoNjud9DPvfCfVaxFbkONHJr5bD3SO3o0mdGoy6ZxKf//hbbEl/GTdJjlNRbNYDdrsEvngO3romthqnPPngXpj6IOx4BrTdNbYax0kMG+dXY8yo7tTIy2b46PeYvSCz+7y5SXKciqT7kdBxMEy8GL5+NbYapzyY84E1Nm69M+x4emw1jpM4Nq1fkzGjerB8VQHDR7/P/CUrY0sqM26SHKciEYF9roON28Ejo2DRnNiKnL/CsgVWMDK/MQy6wxodO47zJ9pvUpvRh27H3EXLGXn3JJasXBNbUplwk+Q4FU21fCswuGYlPDwC1qyKrcgpC4WF1sh4yY/W2LhWg9iKHCfRdGtZn5sP7sKMuYs5csxkVq7JvD5vbpIcJx00bAcDb4LvJ8EL/4qtxikLr19pjYz3uNwaGzuOs176bdGYKwd34u2vfuGksR9RUJhZ7UvcJDlOuthqX+h5nHWJnzYuthpnQ5j5Erx6qTUy7joythrHySgGdWnOOXttyfjpP3Luk5nV5y0ntgDHqVLscoEl/j59AjTuCI07xFbkrI9fv4NHD4dGHaztiEhsRY6TcRzeuxW/LF3FLa9+xca18ji5f/vYkkqFR5IcJ51k58IBd0O12lZocsXi2IqcdbFmpSVqFxbA0PuskbHjOGXi9N3aM6Rbc66fOJN73poVW06pcJPkOOmm9iZwwD2wYBY8eYwVJnSSyfNnwg8fWOPiBq1jq3GcjEZEuGS/renfoTEXPD2DJz9K/mpfN0mOE4MW28OuF8KnT8PbN8RW45TER/+FyaNhhxOtcbHjOH+ZnOwsrj9oW3psXp9Txk3ltS9+ji1pnbhJcpxY9DwWOgyEly6Ab96MrcZJ5ceP4ZmTrFFxv3Njq3GcSkX13GzuGNGNto1rc/R9U/jwu4WxJa0VN0mOEwsRGHAj1G8FD4+ExXNjK3LAGhKPGwY16sLg0daw2HGccmWj6rncO2o7Gtauxsh7JjHzp2T2eXOT5Dgxqb6RJQSvWgKPjISC1bEVVW1U4YljbEXbAfdAfqPYihyn0tKodnXuO6w7OVlZDLvrfX74dXlsSX/CTZLjxKbRljDgBvjuHXjx/NhqqjZvXQefPwv9L4bN/hZbjeNUelo0qMWYUd1ZsmINw+56jwVLk9WRwE2S4ySBrQdD96Pg3Zvgk8djq6mS1F04HV7+P9hqP+hxdGw5jlNl6NB0I+4c0Y3ZC5cz8p5JLE1Qnzc3SY6TFPpfDM27w5PHUXPp7NhqqhaLf6DDjCuhQRuL6nnBSMdJKz1aNeDGg7Zl+ve/cvT9U1i1pjC2JKCUFbdFZHfgOiAbuFNVL6tQVY5TFcnJszyY2/qw9fSLoHAy5OWHn1rhJ98a5hY9Tn0+L9/+hmPFH1ct/f1ndcrjVUtg1bKUx0vhywlkF6yEofdboU/HcdJO/6024bJBnTj90Wmc8vBUrhvaObak9ZskEckGbgJ2Bb4HJonIU6o6o6LFOU6Vo04zGDKGwnFHw+fPwcoldoEvLVm5Zpqq1U4xULU2wGwV+71qta1KeEVRWAhrlv/RsKxalvK4uMEp/hPet7rY76xZUXoNkgU16vHplifSsWFmtEpwnMrKkO02ZcGyVVz23GfUr5nLThvFLbZbmkhSd2Cmqn4NICIPAQMBN0mOUxG03IFJ3W9gp512su3CwmACikxBihlY+dufDUPxf1cugWWz//j86mWl15OdV8xMlWCuqhVFsqrT4pvP4IWXSzYvxX82xAAC5BY3fjVtheBGTX7Xk1uzmPEr/jvF3pNTDUSY/+qrG6bFcZwK4ag+rfhlyUrueGMWi9vk0rdvPC2yvm68IjIY2F1VDw/bw4AeqnpcsfcdCRwJ0Lhx464PPfRQxSgOLFmyhPz8/Ar9PyoC151eXPda0AKyC1aSXbCC7ILl4d/Ux3/8N2dNyc//4XHhyv/9+YKsPAqyq4efGhRmVfvf49+fr/6H9xRkVyv2+h+fK8zKs6hPBeHnSnpx3ekl03QXqnLX9FVM/Xk1l/WuRX5exeYJ9u3bd4qqdvvTC6q6zh9gMJaHVLQ9DLhxXb/TtWtXrWheeeWVCv8/KgLXnV5cdxopWKO64jd9ZeJLsZWUiYw85uq6043rTh+r1hTow+NfTsv/BUzWEvxMaW7L5gCbpmw3D885juP8Tla2TbtJdmwljuNUAnKzs9i4RtxF+KX53ycBbUVkcxHJAw4EnqpYWY7jOI7jOHFZb+K2qq4RkeOACVgJgNGq+kmFK3Mcx3Ecx4lIqeokqep4YHwFa3Ecx3Ecx0kMXnHbcRzHcRynBNwkOY7jOI7jlICbJMdxHMdxnBJwk+Q4juM4jlMCbpIcx3Ecx3FKwE2S4ziO4zhOCbhJchzHcRzHKQE3SY7jOI7jOCXgJslxHMdxHKcE3CQ5juM4juOUgJskx3Ecx3GcEnCT5DiO4ziOUwJukhzHcRzHcUrATZLjOI7jOE4JuElyHMdxHMcpATdJjuM4juM4JeAmyXEcx3EcpwTcJDmO4ziO45SAmyTHcRzHcZwSEFUt/z8q8jPwbbn/4T+yMTC/gv+PisB1pxfXnX4yVbvrTi+uO7247nXTQlUbFn+yQkxSOhCRyaraLbaODcV1pxfXnX4yVbvrTi+uO7247rLh022O4ziO4zgl4CbJcRzHcRynBDLZJN0eW0AZcd3pxXWnn0zV7rrTi+tOL667DGRsTpLjOI7jOE5FksmRJMdxHMdxnArDTZLjOI7jOE4JuElyHMdxnHJERCS2Bqd8qPQmSURqxNZQVvyLVn6ISCsRGRhbx19BRHJjaygrmXQui0h2bA3lRepxz6TPYENI2n6JiGhI9hWRDrH1/BWSdmxLS3nqrtQmSUTaAEeFxxk38KmqikgfERkUW0txxMikY9oCGCMi+8cWUhZEZFvgrNg6SkPRACUifxORgSLyN82QFSIi0h44U0SyMvUCASAiNUWkWhhD2oKNJ7F1lQcp51cnEclJ2n6lGKTDgXNEZKPIkspEMbN3sIjsGVtTaShv3ZXaJAFbAYPCQSuILaaMbAzsKSJ5IpKkzyur6JiKyH4isrOIbBNbVHFEZDMR6amqrwBDgKtE5IDYusrAIuAgEekXW8j6CBfm/sDdQEPgbRHZL7KsdZJiiNoCrVS1MOxHphqlXsC14QbrERFpmcH78gfC57IjcCvQOraekgj6+gPnqOrihI3dpSLFaOwCHAG8FVdR6Shv3Rn3wZUGEckHUNUnga+Bc+Mq+kvMBBoDDVS1MPZAFyJIHYGPw/ZewDXAIcCJIjI4pr4S6AqsEpGNVHUCcCRwhYgMiayrVIhIjohkq+rX2HFuH55PZBQvnB/1sQjufsAMYDrwdup7IslbFzXDvy8ArUXkVMjc6IuqvgBsDvwXOENVv6GSjPch2vcP4DpV/TwJ34WU6FaWiFQHhgJbAD3C97cwqsAyIiK9gROAqaq6KLae0lKeuivFlwb+cJJuAZwgIkVTEw/GU1U2RKSniFwlIrVUdRrwDnB5EkLLanwMTBeRL4C+QDfgn8BLwMAkTWmp6uPAHOBxEdlHVV/EjNLlSY8oicjW2EXu6DB1/CEwUkTqJTUyGs6PBcC7wHDgP8AgVZ0nIoeKSIfY5zCAiGwqInsHU9eaYJxVdRVwJlA7TFkl0dCtlZRxsA4wDngGODbJ50wZ6AI0A/qLSF1VLYj5OaVO72A3tKuw8fBJ7CatcyRpG0wJx/FT4AtgMxHpEkFSqahI3ZXCJBWdpGHu8XbgfaCviFwN9AGOSNKFe12E6ZSdgC2Bq0XkeuxO/Fdgo/CeKANCuKBkAajqEMIADNRR1SXARGACMEwSkiQtIrsB22FajxOR3YNROgK4WUQOjCqwGKmfrapOBx4AagBPYVNX+cDw8Fkk4gKecmFuJCJFEZl8YBhwiKp+FaZiTwPqR5JZnM7ARcAAoA7wCnCKiFwAHIaNG+2TYOhKS8o4OAC4BJigqvtjY8cj4T3bi8gREWVuMCnnV0sRaaSq/wXOB1YCg0Wkdsyp0ZTpneOxKeb7sdmLfwO5QePfYmjbEFLNnogME5GDgZ1U9RTgW+AAsdzIRFHhulW1Uvxg0YwngR5hOwvYGzga+Aa4DahFqDKexB9sKuUxoE3Y3hI4BngPWApcEFGbpDw+AOgZHt+LTalUC9vNsFBz0wQczy7YoPW3sH0E8DKwW9jeDegbW2fxYxx0nRU+++rhuZ2BkcAk4KnYWkvQvjfwOXAncGp4bixwX/gMPgQGxNZZTPO+mLHfP2w3xXJ5rgN+xC52G8XWuYH71BeYCnQr9vxN2A3MF8DA2DrLsF97hv26DYus1wQOxiKVxwK1I+sbEsaWukXHOjxfH7txv6hojEz6D3Ac8AaWU7Uc2BVoBFwL3Ah0iq0xnbqj71g5HZxawFXAz0D9El7fCbtTbBtb61r0ZwGbAd8D92BJ0amvbxYuQg8DzYlo9MKANA1ol/Lc3WEAK7qgZ0c+ntlYdGAhMDE8V2RADsOmgvZMeX9ijHP4nD8A9gFexYx/rZTXa2KJiCNia03R1B64BdgD2D6cp/8Kr22PRWu6JulYE0x8uPi+Fi5yqTcCu2E3AJvE1rqB+3UBFmVpCIwCHgKuCK/1BLZM0udQyn3aKpzzm2E3aF+njDUHh3Nv08ga9w7H9wTMjOaG51uF61Pj2MexlPtRD5virwacjEXg81JeuxRoFFtnOnVn7HRbsWmJpVhS6xvYio788J7c8PqrwDzsLitxqK2k+Q64HOiNzWP/Lzk3vDYeM1N1NHzy6SD1OIvIJsCBwN6q+oWIVAv6RmLRpNfCW6MkKRZpVdUCtWS93YHuInJE0TFT1bswU/dL0e+l83gWR2z13Q7hcV3sYj0UyMPM3jLgyaJpLFVdhg3CiZi2EpHGWDSmhqo+h0W6zgc6icg1qvq2qj6lqlMgGYnQItIEuFhEjlTV8dj37hhgv5TjPAGLLPWPp7T0iEi78PAVLKr+ImaUngXyRaS5qr6jqp9CMj6HDeBXYDSwI3AqsIuqrhCR7VX1ASzCPjsdQiSFYi/lYEn/e6jqbqq6WkQOwyLCa1R1Xjr0bSjy51V3a4DVwNXADsAQVV0lIsdhUZmzVfWnNMv8E2nVHdsBltE1FkUFdsec+ylhuykW6rydEH7FjEV97MLSPrb2EvahK3Zh3CRsHwt8BnQu9r4OmBFplW6N4fEgYFNgDLZMOjfltZbh3+h33ZgRvgK7w6wHbI1FlEbF1lb82GI5ZnPD571reL5p+Kw/CI+bArOxqFIWduG7DeiYgH0oisYcCHwF9A7bWeG4PwJ0iK1zLdpHheN4aNjeEzN4B2AGtR4wJUljxlr2IyvofRe4DIs0NgKah9e7AJ+QEvlN+g8hEp3yb1MsL/Mzfo/QbA+8DrRIs7a2KY+PxmYwTsFKtZwQxujOwElYxH2r2MezlPvVKYwtErQXAvXCa3/Hpss3i60zhu7oO/kXDs5e2BTPjlj49d7w/CbAXRSbtiKEZ5P0g4VoP8GiYG8Bg8PzR2NTb12KvT+KCcEiG29j0yqPhJMxK7x2EGacakY8jkVGcgfMXFyATZXchYXqtwEKgMNjf+YlaL8Uu+sfj60CA8tFuzU87oPlM3RP+Z3o5zLQBIvIHRm2h2HlKnqF7SxSpgkj6mwGPB0ebw6cnvLawViEYkTY3puQvxa2o+svxf4V5QI2x0zDJWE7B+gHfIlFfqNrLcW+NOV3EzQAm7a9EYuub4Pd7IzAzMg00pjjFi7C1bBctQuxm9t3sVIEVwKTsYK1/8Ru0u8jTG0m8Qe7mTwnPD4mnCcPYNP7LYDzMGN6C3bzEP2mLJbu6DtdhoOUhSXHPRYuJgPC4DCNkNAaBsZEO3ishsbLQeuemCl6EAsTgiWh7Vi0zxF1dsUM3N/DdoewfXe4wHxIAhL5wvF8j9+NZkvgcOCqsN0H6B9bZ9CSGoXbLXyhB4RzehBQO5wbNwPz+T3KFO08WMt+jAoXhEPD9iHhItIntrZiOt/GInF9sBydU1JeOzsMtKNSnsuIfJ0w/p1CiKZgxvU9LFG1OpaL2Su2zg3Ynwexm4UO2LThMKyMxC9YEm4X4GIsUrxzjM8qjCszgY+wFVRFz58C3J+yHTUvsxT70QZLbr4FW6iwKRaBPBl4E8uj2iGM/y1i642pO/pOl+Eg1Q//NsGiBB+EAaEeFmobG1tjKfYhC1sa2gFL9puC1dc4D4uKHZzy3nQPAlJsu0e4sEwAWofnmmIX96HA5pGOYXtsmmfTsL1luBhOTHnPVuHi2DTluagXQMzMjSGsqsPuUB/Elmzvi+WQbI8lnvckrNaMrHlDojEjUi8ekXWnRpKfwu4se2ERxtPC850JF+bYejdw3yTsy53AifxulDqGcfCspF+o17Jfj2EG5PyU53pgq/JijTVFkeqi6b/mhJvalPe0waJHuenWV4bzpmg/WmFL5N8P2zlYHuQtwL6xtSZFd0YlboeEyw9FZFdVnYsduKnh5S2wO4zbYukrDaFew5lAXVWdgX25Jqsl9r2O3dV+UPR+DWdBmrSl1pvoLCJNMQN3OnacjxWRlqr6g6pOUNWxqjorXfpSdWIFIe/DigBeCXyHhV8/FpE7wnvWYFHH6kW/m87juRYaYRGXq0K9mlHYBW0xFgW4HzNMfdUSbd+LpjSgqnOABiLyKnbn1kVETgmvPYDdWZ8rIqNU9V5VfTUJNZzUKtQX1fUagOV/XYNFQfuJyJPYDcB/wncx0aTUC9oaa8kxCTOorbGk8zrACmyVz5uaIcUjiy3CGYRV8x8oIrXCmPQeFlmqE0NbypjRSUS2VtXvsajWziJypViF7e6Y4a6dbo2lpWhf1Ipv1lKr4r8j0EZEzlHVNeGcycZuhhJBdN2xHWIZHOVI7K5iFyy09l8s5D+PlLvz2DrXoX8bLAflVCz61Q5LSLwNy0/aJQEa/4nNt18djm8e5t4vDTqbJ0Djrlh4tQ02H30VZpL7AU9j06/PJOF4lqC9F1b3ai+s4Nw7mMnbDrsr+jvF6txE1Jrx0ZgS9uFVbDHHUBI2NViKfdkFm4b9DLgeuwHoGR6/gEWi+4X3JnYcLGG/emJTzRuF7UeAx7Gpkx2AHwhlJCLpOy2MN69hBrUvlqw9OxzzS5N6/pewL0dg+V6Hhu2WWL7Xw9gU5xQSmE8VS3f0HS/lwdmSlAz1cBH5GltBUy8M2jvE1rmefWhHqNOAZeQ/DpwR9HfGlk33i6StXsrjA7Cco42C8ZiF3cVVw6a4LiAhNT+AJ4Bzw+MR2FLhyVik4GPg5pT3JuqCgU1XfopNu3bHplqL8ixyYusrpnVtRuk5zKB+RgLN6Dr24TnC9GHx15L8g+VZzMFyjQ7GjNEdmFGqFT6T6NOzZdivXuEceh67CSsyefcCP2Gr9tJ6fvHHlb3tsKn8HCzNY/9w3JtgU29TCCt8k/hT7NzfGZuxGBG+B2eGsX1TLNfnBRJQCDhJuovmWhNJqBOkWPb6SuxCMltVVUSuAA7FEnVfj6dy/YhIC8zpNsBWn/wc2jSMwy46F2uk5oFi3dovwepIvCDW52Yulki8P1bU8HnsYt4Pm7FaHUNrESntF7bDdD6CnSPXYKZuF2wKaCdgjqqetba/FROx5sBXYSuqFolIbuxjuzZEJEtDk04ReQoz0YOwiN7cpH8H4U/78DiWv3ZDZFmlRqxl0SBVPS7UgGuHJa9+hhXvzKQGpEXf4ZrYAotJqvqOiJyERa2fUNWXReQB4BZVfTON2vLV2iwV1S6rgY2BPVV1WagXdzXwgqreK9bANpFTm8VSKLpi01FrVPUJEemJNaL+FLgB+07nq+rMaIIDSdKdUxF/9K+ScoBqqupvInIothT0bOyC/h0W+myOzUMmlmBChmMhwV7AiSJyg6pOFZH7sCrFdYFYA1x7LNnzVBGppqpPhzyOLpihWykib2J3sZuoFbaMStGXB0ve645NXZ6oVigSEXlTrZDYJGx1WCJR1WdFpAD4QkS2UNWFsTWtDQ35PWqFTweIyHNY2Y194I8GJKmk7gPW33Gj2JpKg4i0xG4WvwP2EZFn1Qp3fiIi07GIxuGheGeiP4MigkHaF8stbIaV6HgHix4NAw4K5uNg+FNuUIURzOfhIvINNp22h6ruLyLvAGeKyNWq+qOIzASahXyqREYaihmNo7EgwwygtYhMDKZ0DZYTuRq4RlV/jKfYSJruxEaSxJrVnoVV830aW/FwC2aKZmPTQgcFs5GWL9CGIiJbYCHxE1T1UxHZCSuA2QTL4TgCmy56J6LGjYF/Yce0F7Y6cKyI3I6F9ldjkZmhqvpzLJ1rI0STrsfusOcGg6dJPB/WRogoLVWrDJ9oMj0aAyBWKf58bMl2YhO2w7lcB8u1+w7LvezF74sWZmLL/Z/EpsxPj6N0wxGRjlgU7CIsIvYfbGXSSyJSH8s9fV5VP0mjpqLoVlts2v5XLDfwZxHpDQzEjv8T2Gewm6p+mS59ZUVE+mB6Twtj5HVYyscgVV0YIjVzVfWHqEKLkRTdiVzdFqZ8DscGhTwsErMjVmRxIrbE9TRVnQqJWLH0J0KY9iis31AD+F97lKLVQCOBa2MYJBHpJCKdwuYCYBVWjuAW4GAR6YtF7HKxRPOTkmiQAh9hCe+9UyIdiTsf1oWqPqsJWRG2PjRlxRgZFI1JRVVXAucl1SAVnQfhXF6ILZ5oguVifokZiiOwm5sjse/AFiJSMxPOIRHZFCtbsEJVX1XV27H9eEhE9lTVBcB1MQxS2FyGJccXYDe1YHma52AdHRZgEaZEGqSic0BEslKuQ+3CD1gx4A+BiSJSV1WnJMEgJVV34iJJ4Qv0CnCPql4stgx9EHagXlbVJ1Pem9QIUtEdSUssOfsnYFzql75o3jvd+yAiDbBGwHOwk+5b7MS7DsuPqoclhd4apoMSO99eRIgm5arq27G1VBUyJRqTqYSbmCNU9Z9he0fMJM3GpheWikgOViDzZuAAVZ0eTfB6KDaFkoNV6h+KpSGMU9XlIjICWzm2KbAwxrgjIkcCDVT1UhHZEpvFuEZVbxKRfYAP1UoAJJJix7mOWq7jRljy+4/AI6o6Qyzf999Yvte3ESUDydadOJMEICJXYwNCH1X9UqyJ5iFY8tbFSZg3TUVEGmKZ+PPCF+kgrIbTlVjm/eHYUsUnVPXj8DvRDJ5YAuhLWPXa1djqwTnAVFW9X0RGYndQhwNLkmhEnfiISI6qromtozIgIu2BbYG3VHV2mKo/F8upOzElh+dG7IbmZiwX5mDgNVX9Io7y9ZNy07gbNtaIql4TxpltsKmtR9Sa1jaNFdUIek7G2p3MCs91wyJ5r2JjYr+kRpBSEZHjsTIFq7HVYM9iswPfAE8m1VAnUXfU6TYJhMftxVZ8oaqnYIPAgyLSXq3Q4gPAlQk0SILlDJwn1s39HGAsVhjwYSwp+wasSvVgEakFcacIVXUitippBHacX8MSoHcXkTxstdjhqvqbGyRnbbhBKh/CGFK8OOocbLXmaswYgfWkmgY8p6pLVXUZcFeSDRL8L0m7PxYVeBcbK8/BKs1/jKVSHBiOwzz4Y4HJikJEmotIA7HVx2CVvc9T1Vkikhei6JOxsfJFrE1UJhikYVj+1OFYKsUgVf0JMxsdgb3COJ8ogu4BJEx3IiJJ8vtS6Dewu6l9VXWOiJyBLfPfV1U/jyhxnYglGt6M1SqZoapnhOeHYvvVFVvW+quqfhZNaDHEkuMvx5a2LhGRzTVCBW3HqeqIyK7Y9OWh2PLyL7HcywnAYKzFTmMsqvRcUlMNSiIYnpuwGkiNgf8DDlTVb0N+20jg3TTnIA3Eau3Mw25gH8ZykWoAN6nq8vC+PbAxPfqUVGkJZuMDbMHNHlgZl0KsgGo2dt2fG0+hUfwcFpGDsfy6ROmOUgJARJphOS/7iEgbbFpqN2zZ+cHAWBE5RFUvF1uSuTGQWJOkqgvElir+B+gWcpHmqK0S2wUrcvVuVJEloKrjww3bJBHZISXEnDEDsONUBlT1RRE5FluxOzDk51yHraa6FfgNK7nwSXh/Yr+fYm06mqnqVyFKswjLyzwMiwgcGgzScGCxhtIdadTXF7vmHAR8hRm3u7HUiGlATxH5BOiN5W0OTqe+shKO50uYoXgNeF1Vdw+vHYm17jo9CRHgYjlI3TFzVB/LR34zSbqjRZJE5C2sNcNAzARtBVyIhV7vBrph3c8TGdlImWfvha3wWYit9rkPuzt5CRscxgF7qeqH0cSuh3BXdT52zDXJA7DjVDZSxpKSiqP+gLWreTrJY0gqYkuze/J7I+w+WPPmO4HdVfW18J4xwLGa5tIXIvIvYJGq3igi1UMuVDMs96gN1j+xIzYz8E9VnZZOfWVFRK4F8lT1GBEZg9URPATYD1sZPlQTtshCRE7AIkdHqNWfug+rm5UY3WnPSZLfG07ugIXSnlfV2UBbYEIIcz6CGag66dZXWsKgtjd2t7cpVqZ+L6zJagNsmu1AYFTSBze1FYN9NAOXzztOppPynSsqjvoucIOq3qVWNPKqpI8hxfgES8g+AXg85E89gN2IXScio7Gpt7PSaZBS8pyaYzfmACtD7tEcLC9sKlbQ8khg/0wxSIE7ABWReqo6HEt2vojf69wlzSD1wwqHjirKNVbVYVh072ISojtKJEn+WJDueWza70agP7aaYxesAOOktItbByLSDthcVSeISD52t3cEpvdY7AP9PiRn3wlckWGDm+M4EZESiqNqhlTRLjaF0guLHq3EplIeVaux1R34BYt4fBpjal9Edsbykc5U1Snhxj0b2ASL3o1U1d/SqamsiHWjyMGiYMuxxtPLVfWYlPfkqeqqOArXjogciNWbGhE+g6zUKTWxDhAr4yk0oqxu05SCdGHu8TdsYHgdix5dmVCD9ARW1A2s0NhCLNHyKOyL9b3YMt2GwMFukBzH2UA+olhx1Mh6Sk2IrvcVkUOwPMxTsZpsvYBdxHpubaOqX6nqp0W/E0Hqu1hxyKEi0i1E0FdjU4QNSGi7Lihx1d9sbMbiYuA4rIRBMxHZtugNSTBIqbpDzhpYz0ERkW3CZ7BGRA4RkX+E90fXDZFXtxWLKD0K1FDVPYu/FhsR6YBFjS5Q1SeDwasF/AOrZdJHVT8UKwFwG3CIqn4UTbDjOBmLZFhx1JScqp5YDuYt2DTKM8AFwChs+m0gMEJVx8fSWkTIQToca9r9DnZBHkxodRVT29ooFqnbB1gD/Kyqk8XqOV0UnusCXKSqt8ZTWzIichTQGjPPE7HzZAmwODx3CraaPXqT3SKilwCQP/eCekVVr48qqhghdPy6qmaF7QlYV+i7sKa7u2NLSA8EzlbVp2NpdRzHSTfB2I3AxslxYhXZX8XG87NFpAlQtyiClAREpAa2WGU3LM3jOU12qZkiM3oMluYxHutG8aiqnhPesx+W/nGLhsLFSSFMDR4WfiZjOWsvYqsIe2MFmG9KnO7YJgl+N0oichY2L/nv2JqKI1Yv4yYsqewtVb0g5bUDsZVsv6p1KPYl9I7jVBlC+YJTsKTn/6jqbyFacxfWMiUjcnySiIhsBvyi1oqmERat+0fI6aoHTMLMxTXh/Ym7/ohITSzSdQ9WC/EQYG9VXZVi/hKZO5WIuddgkKoBtbHll4lDrYDbEVgEqT/Y3KqqrlDVh4q9N1EnqOM4TnmScmFrBfyo1ttsLpaC8LqIvI81926ENcp2yoBYS65TgNkicquq/iQi8wn5Oqq6UEROArYv+p0kXH9EpC2W31UT+EitluC32GrwVapadA09G6suf28SDRIkxCSBdeYWkfM0AYWu1oaqvhxqCn0hIj1Vdb54/yrHcaoYwSDtgUUHnhORLljO0abApcB3mDm6UFUXxFOa8fyMRYq6ACNF5EZgJvBQuAatAVoCm0pCmpGLddC4CCtpkQ9sKSK7A59ixaKvFGsvMgAYgqWpJJZETLdlGmKNGscAW6jqwth6HMdxKhoRaQpUw+rvtMOWnQ/G8mIOAHZWa280HCsCeJWqPhZJbkYTIjFZqvp5WOm1N9aq4yNVvV1EbsGS4adhPecOjl1PCCCYoQuAM1T1tfDc+Vi+2q5Yi649sFXieVipn0Q22y3CTVIZCW55qaa5WqzjOE66EZEtgEexC+Bz2EVub2AGFjU4SK0Nyfaq+nbIUfo7cCrWl80vNKVERBpgEaT5WJ+7AuB27Hi2Aeaq6m0i0gOoDnynCehMIdbDdD4wQFWfKUpHCa9diEWNOmGaqwNrMiHK6CbpL5LEJDnHcZzyQqwX5TPANRr6rIlIXWyFUi6wVYgg9QHOwGrG/SQi/wCeVdXv4ijPXMSqUb+ErQDbGqiHLZVfhVULfxG4WxNQbDGVEDy4DNhJVX9JLQgpIq8BJ6vqlKgiN5DE5CRlKm6QHMep5PQFXlbVu0KNuM5YHswDWH+tgSKyGjgLqyX3E4Cq3hJHbuajqhNDWsf12LRaY6ym04FY65r22HRnokySqj4rIoXA+6FQ50IRyQ3FOn8lYXpLg0eSHMdxnLUiIjsCl2ANyIcCNbAL9wSsmvY8LCl3YlgFLOA3kOVBiMxcA/wtrBCrh0XvaqrqN1HFrYOQ1H8jUGSUhmOtu/YpMtGZgkeSHMdxnHUxCSuWezm2suo64GMsmlQAnKeqy8DTD8qblMjMu2E12y+xNZWGYJaPw8pB3IxV1j4s0wwSuElyHMdx1kEwQNeKyJjURFsR2Qbrd1ZXRJZrIJrQSkowHHnASyLSVRPSrmt9BN3ZwGPAtqr6SWxNZcGn2xzHcZxSIyK52HLuS7E2TM9GllQlEJF8VV0SW8eGIiI1iyKNmYibJMdxHKdUBIPUHVuafp16n0qnkuMmyXEcxyk1wSg1UNUfPQfJqey4SXIcx3EcxymBrNgCHMdxHMdxkoibJMdxHMdxnBJwk+Q4juM4jlMCbpIcx3Ecx3FKwE2S4ziO4zhOCbhJchzHcRzHKYH/B9m/PL4gobLoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfp1 = df2.drop(columns=['month'])[['P1.1']]*0.4\n",
    "dfp2 = df2.drop(columns=['month'])[['P2.1']]*0.8\n",
    "\n",
    "df_add = dfp1.add(dfp2, fill_value=0)\n",
    "df_add['S'] = df_add.apply(lambda x: x['P1.1']+x['P2.1'], axis=1)\n",
    "\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.plot(df_add)\n",
    "\n",
    "plt.xticks(np.arange(0,12),\\\n",
    "           ['January','February','March','April','May','June','July','August','September','October','November','December'])\n",
    "plt.grid(True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.legend(['Shop2 P1','Shop2 P2','Shop2 Total'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "banner-omega",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QQjisiRMnXnos35E4dEkK9gxmYKOBLD66mILygqt/gBBCCGFFmqapjuBUrvXz7dAlCUwLuEsqS1h4ZKHqKEIIIcQlnp6eZGVlSVGyEk3TyMrKwtPTs8of47ALt/8QVyuOhNAEZqXM4uZmN6PXOXwvFEIIYQfCw8PJyMjg4sWLFh+rtLT0msqBrTB3bk9PT8LDw6v8eocvSWCaTXpm3TNsOL2B7uHdVccRQgghcHNzo1GjRlYZKykpidatW1tlLHNSndspplX6NuxLqFcoMw7JAm4hhBBCVI1TlCQ3vRujY0ez8cxGjucdVx1HCCGEEHbAKUoSwOiY0bjqXZmVMkt1FCGEEELYAacpSSFeIQyMHMiio4soLC9UHUcIIYQQNs5pShLAuKbjKKooYtHRRaqjCCGEEMLGOVVJahnakpYhLZmVMgujZlQdRwghhBA2zKlKEpi2A0jPT2fzmc2qowghhBDChjldSRrQcAC1PGvJeW5CCCGEuCKnK0luLqbtANZnrOdk/knVcYQQQghho5yuJIFpOwAXnQszU2aqjiKEEEIIG+WUJam2d236RfZj4ZGFFFcUq44jhBBCCBvklCUJTNsBFFYUsuToEtVRhBBCCGGDnLYktQptRfNazZmRMgNN01THEUIIIYSNcdqSpNPpGNd0HMfyjrHl7BbVcYQQQghhY5y2JAEMbDSQYM9g2Q5ACCGEEP/g1CXJw8WDkdEjWXtqLRkFGarjCCGEEMKGOHVJAhgTOwa9Ts+slFmqowghhBDChjh9SarrU5c+Dfow/8h82Q5ACCGEEJc4fUkCuLnZzRSUF7Ds+DLVUYQQQghhI6QkAa1rt6ZpcFNmHJLtAIQQQghhIiWJ/20HcCT3CNvPbVcdRwghhBA2QErS7wY1GkSgR6BsByCEEEIIQErSJZ6unoyMHsmaU2s4U3hGdRwhhBBCKCYl6U/Gxo4FYHbqbMVJhBBCCKGalKQ/qedbj94Rvfnp8E+UVpaqjiOEEEIIhaQk/c24ZuPIK8vj5+M/q44ihBBCCIWqVJJ0Ol26Tqfbp9PpknU63Q5Lh1KpbZ22RAdFy3YAQgghhJO7lpmkXpqmJWia1tZiaWzAH9sBpOaksuvCLtVxhBBCCKGI3G67jCGNh+Dv7s+MQ7IdgBBCCOGsdFW5paTT6Y4DOYAGfKFp2tTLvOZe4F6AOnXqJM6aZdkDYwsLC/H19bXY9RfmLGRN/homhk0kyDXIbNe1dG5LkdzWZa+5wX6zS27rktzWZY+59YZSzhVcpHZghMXH6tWr187L3inTNO2qP4Cw39/WBvYA3a/0+sTERM3S1qxZY9HrZxRkaPHT47UPd35o1utaOrelSG7rstfcmma/2SW3dUlu67K33OeLzmuPzxmk9fmquVaYf8bi4wE7tMv0mSrdbtM07fTvby8AC4D25ulutivMN4we4T2YlzaPMkOZ6jhCCCGEwzNqRuamzWX4wmGsKzrJ9ZX+uPuEKMtz1ZKk0+l8dDqd3x8/B/oD+y0d7IpSlhGctdPiw4xrNo6cshyWH19u8bGEEEIIZ3Y87zh3rriTVze/SjNXP+ZnnKVLvfG46d2UZarKTFIdYINOp9sDbAOWaZqmtjWsfZsGJ+dZfJgOdTvQJKAJPx76UbYDEEIIISygwlDBF3u+YOTikaTlpPFqhxf56mQ6DSO6UOAfqzTbVUuSpmnHNE1r9fuPOE3T3rBGsCuK6ktAXgqU5ll0GJ1Ox7hm4ziUfYg9F/dYdCwhhBDC2ey5uIcxS8fwcfLH9G7Qm8XDF3NDQT66wvPQ/SnV8ex0C4CovugwwrG1Fh9qaOOh+Ln5yXYAQgghhJkUVRTx5tY3ufXnWykoL2BK7ylM6jGJEPcA2PAhhLeHyG6qY9ppSQpvR6WLNxxZafGhvN28GR49nN9O/MaF4gsWH08IIYRwZGtPrWX4ouHMTJnJjU1vZOGwhfSM6Gl65755kHcSuj0JOp3SnGCvJcnFjZygVnBkFVhhrdBNsTdh0AzMSZ1j8bGEEEIIR5RZksnTa5/m4dUP4+vmy3eDvuO5Ds/h6/77/k1GI2yYDHVaQMwAtWF/Z58lCcgObgP5GXAx1eJjRfhH0D28O3PT5lJuKLf4eEIIIYSj0DSNBYcXMGzhMFadXMVDCQ8xZ+gcEmon/PWFKUsgMw26TbCJWSSw65LU2vQTK9xyAxjXdBzZpdmsSF9hlfGEEEIIe3cy/yT3/HoPL216iajAKOZdP4/7W92Pm8vfHuvXNFg3CWpFQfPhSrJejt2WpDLPUAhtarWS1LF+RyL9I5mZMtMq4wkhhBD2qsJYwVf7vmLE4hEcyDrAix1f5NuB39I4oPHlP+DISji3F7o+AXoX64a9ArstSQBE9YUTG6G8yOJD6XV6bmp6E/sy97H34l6LjyeEEELYowOZB7hp6U18uOtDuoV1Y9HwRYyJHYNed4XKsf498A+HlmOsF7QK7Lwk9QFDOaRvsMpww6KG4ePmw4wU2Q5ACCGE+LPiimLe2f4O4342LU/5oOcHvN/rfWp7177yB6ZvhJOboctj4OpunbBVZN8lqUFncPWy2i03HzcfhkcNZ0X6CjJLMq0yphBCCGHrNp7eyIjFI/j+4PeMjB7JwuEL6dOwT9U+eP174BMKbW61bMhqsO+S5OYJjbpZrSQB3Bh7I5XGSuamzbXamEIIIYQtyi7N5tn1z3L/yvtxd3Fn2sBpvNTpJfzd/at2gdO74Ogq6PQQuHlZNmw12HdJAtO6pOxjkHXUKsNFBkTSJawLc1LnUGGosMqYQgghhC3RNI0lR5cwbOEwVqSv4P5W9zPvunkk1km8tgutfw88A6DtXZYJWkOOUZIAjq622pA3N72ZzJJMfjvxm9XGFEIIIWxBRkEG96+8n+c2PEcD/wbMHTqXhxIewt3lGtcTXUiBlKXQ/j7wrOLMk5XZf0mq1QSCGln1lluXsC409G8oC7iFEEI4jUpjJdMPTGfE4hEkX0jmv+3/y3cDvyMqKKp6F9wwGdx8oOMD5g1qRvZfksA0m3R8HVSWWWU4vU7PjbE3sufiHg5kHrDKmEIIIYQqh7IOcfPPNzNpxyQ61O3AouGLGNdsHC7V3dMo+7jpnLa2d4B3sHnDmpHjlKSKYtMjhFYyLGoYXq5eMpskhBDCYZVUljB552RuWnYT54vOM6nHJD7q/RF1ferW7MIbPzRtGtnpYfMEtRDHKEmRXcHF3aq33Pzc/RjWZBi/HP+FrJIsq40rhBBCWMOWs1sYsWgE3+7/lmFRw1g0fBEDIgegq+m5avlnIflHSLgZ/OuZJ6yFOEZJ8vCFBp3gyCqrDntTs5uoMFbw0+GfrDquEEIIYSm5pbm8sOEF7vn1HvQ6PV/3/5pXOr9CgEeAeQbY/DEYDdD1cfNcz4IcoySB6ZbbhYOQd9pqQzYOaEynep2YnTqbCqNsByCEEMJ+aZrGL8d/YdiiYSw7toy7W97NT9f/RPt67c03SFEW7PgGWo6GoEjzXddCHKskgWlTKisa12wcF4ovsOqkdccVQgghzOVs4VkeWvUQz6x7hvo+9Zk1dBaPtXkMT1dP8w609XPTGuKuT5j3uhbiOCWpdjPwq2/VdUkA3cK6Ee4bzsxDM606rhBCCFFTBqOBHw7+wLBFw9hxfgfPtHuGHwb/QGxwrPkHK82HbV9As+ugdlPzX98CHKck6XSmA2+PJoGh0mrDuuhduLHpjey6sIuU7BSrjSuEEELURFpOGrf+citvb3+bNnXasGDYAm5tfmv1H+u/mh1fQ2kedHvSMte3AMcpSWC65VaWB6d3WHXYG6JvMG0HcEi2AxBCCGHbygxlfLTrI8YuGUtGQQZvdXuLz/p8RphvmOUGrSiBzZ9Akz5Qv7XlxjEzxypJjXuCzsXqt9z83f0Z2ngoPx//mZzSHKuOLYQQQlTV9nPbGbl4JF/u+5LBjQezaPgihjQeUvPH+q9m1/dQdNGuZpHA0UqSVyCEt7N6SQIY13QcZYYy2Q5ACCGEzSk2FDNx00TuXHEnlcZKvuj3BW90fYMgzyDLD15Zbto8skEniOxi+fHMyFV1ALOL6gtrXofCi+Abar1hg6LoULcDs1NnMz5uPK56x/vUCiGEsC2aplFqKKWgvIDC8kLyy/MpKC8w/brC9Ov8snx+OvsThcZCxseN54FWD+Dt5m29kHtnQ34GXPeh9cY0E8f7lzyqj6kkHVsD8WOsOvRNzW7i8TWPk3Qqib4N+1p1bCGEEPZH0zSKKoouFZo/Cs4/flT88/f++JhK45UfVnLTuxHmGsbUQVOJqxVnpT/Z74wG2PA+1Gtl+vfZzjheSaqXAN61TLfcrFySeob3pL5PfWakzJCSJIQQTsBgNFBYUXjVQvNv7yusKMSoGa84hperF35ufvi6++Ln7keQZxAN/Bvg7+6Pr5vp9/zc/Uy/dv/rr/3c/fBw8SApKcn6BQng4ELIPgpjvjM9hW5nHK8k6fWm1fNHVoHRaPq1lfyxHcDknZNJzU61zD4TQgghlJiTOocfz/3IR4s/ulRyiiqKrvpxvm6+/ysvbn7U9a5LVGDUP8rMH4Xn0q/dffFz88PNxc0KfzoL0DRYPxlCYqDpdarTVIvjlSQwrUvaNwfO7bH6o4YjokfwafKnzEyZycTOE606thBCCMs4knOEN7a+QW3X2jT3bX7F2Zs/z+74uvlabt8hW5e2As7vh+GfW3XCwpwcsyQ16W16e3il1UtSgEcAQxoPYdmxZTyR+IT5DgQUQgihzHs738PH1YfH6jzG0N5DVcexfZoG6ydBYANoOUp1mmqzz2p3Nb6hprVJCrYCALip6U2UGkpZcHiBkvGFEEKYz6Yzm9hwegP3xt+Lr4uv6jj2IX09ZGyHLo+Bvd4uxFFLEphuuWVsgxLrb+4YGxxL2zptmZU6C4PRYPXxhRBCmIfBaGDSjkmE+YYxrtk41XHsx7pJ4FsHEm5RnaRGHLckRfcDzQjH1ioZflyzcZwuPM3aDDXjCyGEqLlFRxdxOOcwTyQ+gbuLu+o49iFjBxxfC50eBjdP1WlqxHFLUlhb8AhQdsutV0Qv6vrUZUaKnOcmhBD2qLiimCm7p5AQmkD/hv1Vx7Ef698Dz0Boe6fqJDXmuCXJxRWa9DRtBaBpVh/eVe/K2NixbD27laO5R60+vhBCiJr5Zv83ZJZk8lS7pyx/tpmjOH8AUn+Gjg+Ah/2v33LckgSmdUkFZ+DCISXDj4weibvenRmHZDZJCCHsybmic0w/MJ2BkQNpFdpKdRz7sX4yuPtC+3tVJzELxy5JTX7fAl3RLbcgzyAGNx7MkmNLyC/PV5JBCCHEtZuyewpGzcjjiY+rjmI/so7CgfnQ7i7wDladxiwcuyQFhEHt5spKEsC4puMoqSxh4eGFyjIIIYSouoNZB1l8dDE3N7+ZMN8w1XHsx8YPQO8GHR9SncRsHLskgelAvZOboaxQyfDNajWjde3WzEyZKdsBCCGEjdM0jUk7JhHkEcQ9Le9RHcd+5GVA8kxocxv41VGdxmycoCT1BUM5pG9QFmFcs3FkFGaw4bS6DEIIIa5uzak1bD+3nQcTHsTP3U91HPux6WNAgy6Pqk5iVo5fkhp0Ajdvpbfc+jToQ23v2rIdgBBC2LAKYwXv73yfRgGNGBVjv0dpWF3hRdg5DeLHmo4hcSCOX5JcPaBRd6UlyU3vxpiYMWw6s4nzFeeV5RBCCPHv5qTOIT0/nScTn8RV75hHm1rE1s+gshS6PqE6idk5fkkC0y23nOOmlfeKjIoZhZvejbUFsgO3EELYmryyPD7f8zkd6nWge3h31XHsR0kubPsSmg+DkGjVaczOSUrSH1sBrFIWoZZXLQZGDmR74XaKK4qV5RBCCPFPX+79kryyPJ5u+7RsHHkttn8JZfnQ7UnVSSzCOUpScGPTD4W33ADGxI6hVCtl2fFlSnMIIYT4n1MFp5iRMoNhUcOIDY5VHcd+lBfBls8guj/Ui1edxiKcoySB6ZZb+nqoKFUWoVVoK8LcwpiTOgdNwVEpQggh/umDnR/gqnflkdaPqI5iX3ZOh+Is6PaU6iQW41wlqaLYtGeSIjqdjq5+XUnJTmFv5l5lOYQQQpjsvrCbX0/8yh1xd1Dbu7bqOPajsgw2TYGGXaFBB9VpLMZ5SlJkV3BxV37Lra1PW7xdvZmTOkdpDiGEcHaapjFp+yRqe9Xm9rjbVcexL3tmms5G7e6Ya5H+4Dwlyd0HGnZWungbwFPvyXVNrmP58eXkleUpzSKEEM5sefpy9mbu5eHWD+Pt5q06jv0wVMKG96F+G2jcS3Uai3KekgSmW24XD5m2T1dodMxoyo3lLDyyUGkOIYRwVmWGMj7Y+QFNg5tyfZPrVcexLwcWQE666Yk2B38S0PlKEiifTYoNjiUhNIG5aXMxakalWYQQwhn9cPAHzhSd4am2T+Gid1Edx34YjbD+PQhtBrGDVaexOOcqSaFNwT9M+bokMG0HcCL/BNvObVMdRQghnEpWSRZf7fuKHuE96FDPcRcdW0TaL6Y7Mt0mgN7xK4Tj/wn/TKczbSx5LAkMFUqj9I/sT6BHoCzgFkIIK/tsz2eUVJYwoe0E1VHsi6bBukkQFAlxI1SnsQrnKkkAUf1Mu4NmbFcaw8PFg+FRw1l9cjUXii8ozSKEEM7iWO4x5qXNY3TMaBoHNFYdx74cS4Izu0xntLk4x9l2zleSGvcAnYtN3HIbHTMag2Zg/uH5qqMIIYRTeG/ne3i5evFAwgOqo9if9e+BX31odZPqJFbjfCXJMwAiOthESWrg34DO9TszL20elcZK1XGEEMKhbT6zmXUZ67g3/l6CPYNVx7EvJ7eaTq3o/Ai4eqhOYzXOV5LAtC7p7B4oVH+ba0zMGM4Xn2ddxjrVUYQQwmEZjAYm7ZhEmG8Y45qNUx3H/qx/D7xrQaJzbbrppCXp960Ajq5WmwPoEdGD2t61mZMmC7iFEMJSFh9dTFpOGo+3eRwPF+eZCTGLs3vh8Aro+IBpY2Yn4pwlqW48+ITaxC03V70ro6JHsen0Jk4VnFIdRwghHE5xRTFTdk8hPjSeAZEDVMexPxsmg4c/tLtHdRKrc86SpNdDkz6mTSWNBtVpGBE9Ar1Oz9y0uaqjCCGEw/n2wLdcLLnI022fRufgO0SbXeZhOLAQ2t0NXoGq01idc5YkMN1yK8mGs8mqk1DHpw49I3qy8PBCyg3lquMIIYTDOF90nmn7pzEgcgAJtRNUx7E/G94HV0/o+KDqJEo4b0lq0gvQKT+i5A9jYseQU5bDbyd+Ux1FCCEcxpTdUzBoBh5v87jqKPYn9yTsnW1arO0bqjqNEs5bknxCoH5rm1iXBNCxXkca+DWQHbiFEMJMDmUdYvHRxdzS7BbC/cJVx7E/Gz8CdKbH/p2U85YkMN1yy9gOJTmqk6DX6RkdM5pdF3ZxOOew6jhCCGHXNE1j0o5JBHgEcHf83arj2J+C87DrO2h1IwQ4b8GUkqQZTVut24DhUcNx17vLbJIQQtTQ2oy1bDu3jQdaPYC/u7/qOPZnyydgrDAdQeLEnLskhSWaduC2kVtugZ6BDIgcwJJjSyiuKFYdRwgh7FKFsYL3drxHpH8ko2NHq45jf0pyYPvXpkNsazVRnUYp5y5JLq7QuJdp8bamqU4DmBZwF1UU8fPxn1VHEUIIuzQ3dS7p+ek82fZJ3PRuquPYn61TobwQuk1QnUQ55y5JYLrlVnAWLhxUnQSAVqGtiAmKYU7qHDQbKW5CCGEv8svz+WzPZ7Sv254e4T1Ux7E/ZYWw9TOIHQx14lSnUU5KUlQf01sbueWm0+kYGzuWQ9mH2Je5T3UcIYSwK1/t/Yq8sjyeavuUbBxZHTu/Nd1u6/ak6iQ2QUqSf32oHWczJQlgSOMheLt6Mzt1tuooQghhNzIKMvjh0A9c3+R6mtVqpjqO/akohU1ToFEPCG+rOo1NkJIEptmkE5tN04w2wMfNh6GNh7IifQV5ZXmq4wghhF34YNcHuOpdeaS18+7rUyPJP0LheZlF+hMpSWBal2SsgPT1qpNcMiZ2DGWGMhYdWaQ6ihBC2LzkC8msSF/B+Ljx1PGpozqO/TFUwMYPILwdNOquOo3NkJIE0KAjuPnY1C232OBYWoW2Ym7aXFnALYQQV6BpGu/ueJdQr1DGx41XHcc+7f/JdAxJt6dA1nJdIiUJwNUDGveAw7/ZzFYAAGNjx5Ken862c9tURxFCCJu1In0Fey/u5ZHWj+Dt5q06jv0xGmH9ZKjTAmIGqE5jU6Qk/SGqD+SegOxjqpNc0j+yPwEeAbKAWwgh/kWZoYwPdn1ATFAM1ze5XnUc+5SyBDJTTfsiySzSX0hJ+kOT37cCOPyb2hx/4uHiwfAmw1lzcg0Xiy+qjiOEEDbnx0M/crrwNE+1fQoXvYvqOPZH02D9exDcBJoPV53G5khJ+kNwI6gVZVPrkgBGx46mUqtk/uH5qqMIIYRNyS7N5su9X9I9vDud6ndSHcc+HVkFZ/eYzmiTkvkPUpL+LKovpG+AihLVSS5p6N+QTvU6Me/wPAxGg+o4QghhMz5L/oySyhKeTJRH1qtt/XvgHw7xY1UnsUlVLkk6nc5Fp9Pt1ul0Sy0ZSKmovlBZAic2qU7yF2Njx3Ku6BzrMtapjiKEEDbhWN4x5qbNZVTMKBoHNlYdxz6d2AQnN0GXR8HVXXUam3QtM0mPAYcsFcQmNOwCLh6m6Ucb0iOiB7W9ajMnbY7qKEIIYRMm75iMl6sXDyY8qDqK/Vo3CXxCoc1tqpPYrCqVJJ1OFw4MAb6ybBzF3L0hsovNrUty1bsyMmYkG09vJKMgQ3UcIYRQauvZrazNWMvdLe8m2DNYdRz7dGY3HF0FHR8ENy/VaWyWriobFep0unnAm4Af8JSmaUMv85p7gXsB6tSpkzhr1iwzR/2rwsJCfH19zX7d8FOLiDr6DZs7fkmZZ22zX7+6uXMrc3n59Mv09u/NsKBhZs91NZb6fFua5LY+e80uua2rurmNmpF3z75LsbGYF8JewE3nZoF0/85RPt9x+98iKGcvmzt9hcHVdveWstbnu1evXjs1TfvngXWapl3xBzAU+PT3n/cEll7tYxITEzVLW7NmjWUufCFF017217Tt31jk8jXJ/eiqR7Xus7prZZVl5gtURRb7fFuY5LY+e80uua2rurnnp83XWkxrof187GfzBqoih/h8nz9k+ndu1WvK8lSVtT7fwA7tMn2mKrfbugDX63S6dGAW0Fun0/1gnu5mg0JiICDC5m65gWkBd3ZpNitP2F42IYSwtOKKYqbsnkJ8SDwDIweqjmO/NrwPbt7Q4QHVSWzeVUuSpmn/1TQtXNO0SOBGYLWmabdYPJkqOp1p9+1ja00H/tmQjvU7EuEXITtwCyGc0vQD07lYcpGn2z2NTnaGrp6cdNg3F9reCT61VKexebJP0uVE9YXyAjhlW2em6XV6RseMZteFXRzJOaI6jhBCWM2F4gt8e+Bb+jfsT0LtBNVx7NfGD02bRnZ6WHUSu3BNJUnTtCTtMou2HU6j7qB3tclbbsOjhuOud5ftAIQQTmXK7ilUGit5PPFx1VHsV/5Z2P0DJNwM/vVUp7ELMpN0OZ4BENHBJktSkGcQ/SP7s+ToEoorilXHEUIIi0vJTmHRkUWMazqOCL8I1XHs1+aPwWiALo+pTmI3pCT9m6g+cG4vFJxXneQfxsSOobCikF+O/6I6ihBCWJSmaUzaPokAjwDubXWv6jh2y7UiH3Z8Cy1Hmc4qFVUiJenfRPU1vT26Wm2Oy0gITSA6KJrZqbP/2KZBCCEc0rqMdWw9t5X7W92Pv7u/6jh2KzxjKVQUQdcJqqPYFSlJ/6ZOS/CpbZO33HQ6HWNjxnIo+xD7M/erjiOEEBZRYazgvZ3vEekfyZjYMarj2K/SfMJOL4WmQ6F2U9Vp7IqUpH+j15tuuR1dbbqHa2OGNB6Cl6uXbAcghHBYP6X9xPG840xInICb3ro7azuU7V/hVlkE3Z5UncTuSEm6kqi+UJINZ5JVJ/kHX3dfhjYeyvL05eSV5amOI4QQZlVQXsCnyZ/Srm47ekb0VB3HfhVehA3vkxWcCGFtVKexO1KSrqRxL0Bnk7fcwLQDd5mhjMVHF6uOIoQQZvXlvi/JLcvlqbZPycaRNbH6Vago5miTO1UnsUtSkq7EpxaEJdpsSYoNjiU+NJ45qXNkAbcQwmFkFGTww8EfuK7JdTSv1Vx1HPt1Zjfs+h463E+xT7jqNHZJStLVRPWF0zugOFt1kssaGzuW9Px0tp/brjqKEEKYxYe7PsRF58KjrR9VHcV+aRr88iz4hECPZ1SnsVtSkq4mqi9oRjiWpDrJZfVv2J8AjwBZwC2EcAh7Lu5hefpybo+7nTo+dVTHsV/75sGpLdDnZdMGyaJapCRdTVgb8AyEI6tUJ7ksT1dPhjUZxuqTq7lYfFF1HCGEqDZN03h3+7uEeIVwZwtZQ1NtZYXw20tQv7XpCBJRbVKSrkbvAk16m9Yl2ei6nzGxY6jUKllwZIHqKEIIUW0rTqxgz8U9PNL6EbzdvFXHsV8bJkPBGRj0jmk7G1Ft8tmriqi+UHgOztvmxo0N/RvSsV5H5qXNw2CDezoJIcTVlBvK+WDnB8QExTCsyTDVcexX9nHY9DHEj4WI9qrT2D0pSVUR1cf01kafcgPTAu6zRWdZf3q96ihCCHHNZhyawenC0zzZ9klc9C6q49ivX18AvSv0fUV1EocgJakq/Oqajimx0XVJAD0iehDqFcqc1DmqowghxDXJKc1h6t6pdAvrRuf6nVXHsV9H10DKUuj+JPjXU53GIUhJqqqoPnByM5QVqE5yWW56N0bGjGTD6Q1kFGSojiOEsAKD0eAQe6R9tucziiuLebKtHJtRbYYKWP4sBEVCx4dUp3EYrqoD2I2ovrDxAzi+DpoOUZ3mskZGj2Tq3qnMS5vH44mPq44jhLCg7NJsRi4eSWFpIY2WNCLSP5IG/g1o6N/Q9NavIYGegapjXtXxvOPMTZ3LyOiRNAlsojqO/dr+NVxMgRtngJun6jQOQ0pSVUV0AHdf07okGy1JdX3q0iO8BwuOLOChhIdwc5EDIYVwVJN3TCa3NJeOPh3RPDX2Ze5jxYkVGDXjpdf4u/tfKk9/FKc/SpSfu5/C9P8zeedkPFw9eDDhQdVR7FdRJiT9n+kordjBqtM4FClJVeXqDo16/G8rABs9S2hs7FjWnFrDypMrGdRokOo4QggL2Hl+J4uOLuKuFneRUJBAz549AagwVHCq8BQn809yIv+E6W3BCXac38HSY0v/co1gz2BTYfIzzT798SPCL8Jqj99vO7uNpFNJPNbmMWp51bLKmA5p9etQXgSD3rbZf5vslZSkaxHVB1KXQdYRCIlWneayOtXvRLhvOLNTZ0tJEsIBVRgreH3L69T3qc99re5j64atl97n5uJG44DGNA5o/I+PK60s5VTBqUvF6US+6cemM5tYdHTRX15b26v2pVt3f759F+EfgYeLh1n+HEbNyKQdk6jnU49bm99qlms6pbN7YOc06PgAhMaqTuNwpCRdiz9vBWCjJUmv0zM6djTv73yfo7lH5R6/EA7m+4PfcyT3CB/1+ggvV68qf5ynqyfRQdFEB/3za1dxRTEnC05eKk5/zEKtObWG7NL/nVupQ0ddn7r/K09+/1sDFe4bfk23+LcXbedQ9iHe7va22YqX09E0+OU/4F0LevxHdRqHJCXpWgRFQq1oU0nq+IDqNP9qeNRwPt79MXNS5/DfDv9VHUcIYSZnC8/y+Z7P6RnRk14Nepntut5u3jQNbkrT4Kb/eF9+eT6n8k+Rnp9+aRbqZP5Jfj7+MwXl/3va10XnQn3f+pdmnf48E1Xfp/5f9j4qrihmSe4SWoa0lBnvmtj/k+mp6+s+BK9A1WkckpSkaxXVF3Z+CxUl4Fb17+KsKdgzmP6R/Vl8dDGPtXlMtvcXwkG8te0tAP7b3nrf/Pi7+xMXEkdcSNxffl/TNHLLck2zTgV/WgOVf4Ld53dTXFl86bWuelfCfcMvzTpllmSSZ8jj6XZPo5M1NNVTXmQ6n61uPLSW25WWIiXpWkX1ha2fwYmNpp/bqDExY1h2bBnL05czInqE6jjKOMIeMkIArD21ltWnVvN4m8ep71tfdRx0Oh1BnkEEeQaRUDvhL+/TNI2s0qxLxenPs1Bbz26l1FBKa+/WtK7dWk14R7DhA8g/DSO/Np0xKixCStK1iuwCrp6m3bdtuCS1rt2aqMAoZqfOdsqSpGkaH+76kEVnFhFTGEOYb5jqSEJUW0llCW9ue5MmAU24rfltquNclU6nI8QrhBCvEBLrJP7lfUbNSGZJJnu37lWUzgHknIBNH0GLUdCwk+o0Dk123L5Wbl7QsItNn+MGpi9SY2PHcjDrIPszbfNgXksxakbe2PoGX+//muzKbCYkTaDMUKY6lhDVNnXvVE4Xnub5js/b/f5nep2e2t61cdXJ9+jV9usLoNNDv1dVJ3F4UpKqI6ovZKaZ2rwNG9p4KF6uXsxOna06itUYjAZe2vgSs1Nnc0eLO7g79G4OZh3k/7b+n+poQlTLsdxjTDswjeubXE+7uu1UxxGqHV8HhxZD1wkQIDPkliYlqTr+uM121HYPvAXwdfdlSOMhLD++nLyyPNVxLK7CWMGz659l0dFFPJjwIE+0eYKW3i25N/5e5h+ez09pP6mOKMQ10TSN17e+jrerNxMSJ6iOI1QzVJoe+Q9sAJ0fVp3GKUhJqo6QaNNf0iO2XZLAtIC71FDKkqNLVEexqDJDGROSJrA8fTlPJj7JA60euPTUzIOtHqRz/c68sfUNp7v1KOzb0mNL2X5uu+xILUx2fgsXDsKA/7PZp6sdjZSk6tDpTLNJx9ZCZbnqNFfUrFYz4kPimZM2x2Gf9CqpLOGRVY+QdCqJ5zs8z/gW4//yfhe9C293e5tQr1AmJE0gpzRHSU4hrkVeWR6TdkwiPiSeUTGjVMcRqhVnm44fadQDmg5VncZpSEmqrqi+UF4AGdtUJ7mqMbFjOJ53nB3nd6iOYnZFFUU8sPIBtp7byqudX+XGpjde9nWBnoFM7jWZrJIsnln3DAajwcpJhbg2U3ZPIbcslxc6voBeJ1+qnd7q16GsQM5nszL5P6+6GnUHvavNP+UGMCByAP7u/g63gDuvLI97fr2H5AvJvNXtLW6IvuGKr4+rFccLHV9gy9ktfJL8iZVSCnHt9l3cx5zUOdzU9Caa1WqmOo5Q7dw+0622dndDbfn7YE1SkqrLww8adLKLkuTp6smwqGGsOrGKzJJM1XHMIrs0m7t/vZuU7BQm95xc5aMNboi+gZHRI/ly35esPrnawimFuHYGo4HXtrxGiFcIDyfI4lynp2nwy7PgGQi95Jgpa5OSVBNRfUwNv+Cc6iRXNSZmDJVaJQsOL1AdpcYuFF/gjuV3cDzvOFN6T6F3g97X9PH/7fBf4mrF8fyG50nPS7dMSCGqaXbqbA5lH+KZds/g6+6rOo5Q7eBCOLEBer8AXkGq0zgdKUk1cWkrANufkYgMiKRDvQ7MTZtr1+txzhSeYfzy8ZwrOsdnfT+jS1iXa76Gh4sH7/d8H1e9K08kPUFxRfHVP0gIK7hYfJEpu6fQqV4nBkQOUB1HqFZeDL++CHVaQuJ41WmckpSkmqjTAnzrwOHfVCepkrGxYzlbdJYNpzeojlItJ/NPcvvy28kty2Vq/6k12livnm893un+DsfyjjFx80SHffJP2Jd3d7xLmaGM5zs+Lwe/CtPRI3mnTIu15Xw2JaQk1cQfWwEcXQ12MDvTM6InoV6hzEmbozrKNTuae5Txy8dTVlnG1/2/plVoqxpfs1P9TjzS+hF+Of4LM1JmmCGlENW3+cxmfjn+C3e1vIuG/g1VxxGq5Z4yHWIbd4PpzFChhJSkmorqA6W5cHqX6iRX5aZ3Y0T0CNZnrOd04WnVcarsUNYh7lh+Bxoa3w781qxP+9zZ4k56RfRi0vZJ7Dpv+/8NhWMqN5Tzf1v/jwi/CO5uebfqOMIW/Pai6W2/19TmcHJSkmqqcS/TQYN28JQbwKiYUeh0OualzVMdpUr2XtzLXb/ehYerB9MGTqNJYBOzXl+v0/NG1zcI8wvjybVPcrH4olmvL0RVfLv/W9Lz03m+w/N4uHiojiNUO74eDiyArk9AYITqNE5NSlJNeQdDWKLdlKS6PnXpHt6d+YfnU2GoUB3niraf2849v95DoEcg0wdOt9gtCD93P97v+T5FFUU8tfYpKoy2/XkRjuVUwSm+3Pcl/Rv2r9aDCMLBGCph+bMQ0AC6PKo6jdOTkmQOUX3h9E7TtvF2YGzsWLJLs1l10nbPntt4eiMPrnyQuj51mTZwGvV961t0vOigaCZ2msiuC7uYvGOyRccS4g+apvF/W/8PF50Lz7R7RnUcYQt2TYPz+6H/a3I+mw2QkmQOUX0BzS62AgDoXL8zYb5hNrsD9+qTq3lk9SM09G/ItwO/pbZ3bauMO7jxYG5pdgs/HPqBX47/YpUxhXNbeXIlG05v4KGEh6jjU0d1HKHaH+ezRXaD5sNUpxFISTKP+q1Nm3wdsd2ZmT/T6/SMjhnNjvM7OJZ7THWcv1h+fDkTkibQNLgpXw/4mmDPYKuOP6HtBNrUbsPLm17mcM5hq44tnEtRRRFvbXuL2KBYxjUbpzqOsAVJb0JpHgx8S85nsxFSksxB7wJNepvWJRmNqtNUyQ3RN+Cmd7Op7QAWHlnIf9b/h1ahrZjabyoBHgFWz+Cmd2NSj0n4uPnwRNITFJQXWD2DcA6fJX/GheILvNDxBVz1rqrjCNXOH4TtX0PbO6FuC9VpxO+kJJlLVF8oumC6l2wHgj2D6dewH4uPLLaJHadnpczixY0v0qFuBz7v97nS4xhCvUN5r8d7nC44zfMbnseo2UfxFfYjNTuVHw79wMjokSTUTlAdR6imabD8P6YzQXs9rzqN+BMpSebS5Pfzw+zkKTeAMbFjKKgoYEX6CqU5pu2fxhtb36BneE+m9JmCl6v6xYpt6rThybZPsubUGr7Z/43qOMKBGDUjr295HX93fx5v87jqOMIWHFoCx9eZzmfztu4SA3FlUpLMxa8u1G1pN+uSANrUbkNUYJSyBdyapvHZns94b+d7DIgcwORek21qj5ibm93MoMhBTNk9hc1nNquOIxzEwiMLSb6YzBOJTxDoGag6jlCtogR+fR5qx0HiHarTiL+RkmROUX3h1BYozVedpEp0Oh1jYsdwIOsABzIPWHVsTdN4f9f7fJr8Kdc3uZ63u72Nm97NqhmuRqfTMbHzRBoHNOaZdc9wtvCs6kjCzuWU5jB552Ta1G7DsCh5ekkAm6ZA7knT+WwusjbN1khJMqeofmCsNE2b2omhjYfi5epl1dkko2bkzW1v8u3+bxkbO5bXuryGi40e3ujt5s37Pd+n0ljJE0lPUGYoUx1J2LEPdn1AUXkRL3R8Ab1Ovvw6vbwMWD/Z9Lh/o26q04jLkP9LzSmiPbj72dW6JD93PwY3Gswvx38hv9zyM2AGo4GJmyYyM2Umtze/nec7PG/z/1hEBkTyRtc3OJB1gLe2vaU6jrBTuy/sZv7h+dza/Faig6JVxxG24LeXAA36v646ifgXtv2vk71xcYPGPUzrkjRNdZoqGxs7llJDKUuOLrHoOBXGCv674b8sOLKA+1vdz5Ntn0RnJ3uB9G7Qm7tb3s28tHksOLxAdRxhZyqMFby25TXq+tTl/lb3q44jbMGJTbD/J+jyGAQ2UJ1G/AspSeYW1RfyTkKm/WxE2KxWM1qGtGRO6hw0C5W7ckM5TyU9xS/Hf+HxNo/zUMJDdlOQ/vBwwsN0rNeR17e8zoEs667hEvZtxqEZHM45zLPtnsXbzVt1HKGa0QC/PAP+4dDlcdVpxBVISTK3qD6mt3Z0yw1M2wEcyzvGjvM7zH7tksoSHl3zKKtPrebZ9s9yV8u7zD6GNbjoXXin+zvU8qrFhDUTyC3NVR1J2IFzRef4JPkTuod3p3eD3qrjCFuw6zs4tw/6vwruUpptmZQkcwtsACGxdleSBkYOxN/dnzmp5t2Bu6iiiIdWPcSm05t4pfMr3NzsZrNe39qCPIOY3HMyF0su8uz6ZzEYDaojCRv39ra30TSN/7b/r93NngoLKMmB1a9Bwy4QN0J1GnEVUpIsIaovnNho2v/CTni6ejIsahgrT64ksyTTLNfML8/n3t/uZdf5XbzZ7U1GRDvGF4QWIS14rsNzbDyzkU/3fKo6jrBh6zLWsfLkSu6Nv5dwv3DVcYQtSHrbVJTkfDa7ICXJEqL6QGUppG9UneSajI4ZTaWxkoVHFtb4WjmlOdy94m4OZh3kvR7vMaTxkJoHtCGjYkYxInoEU/dOJelUkuo4wgaVVpby5tY3aRTQiPFx41XHEbbgQgpsmwptbod68arTiCqQkmQJDbuAq5fd3XJrFNCIDnU7MDd1bo1uI10svsidK+7kWN4xPur1EX0a9jFjStvxXIfnaF6rOc+tf46T+SdVxxE25st9X5JRmMHzHZ7HzcW2NkoVClw6n80Xer+oOo2oIilJluDmCZFd7a4kgWkB95miM2w8U71ZsHNF57hjxR2cLjzNp30+pVu4426Q5uHiweSek9Hr9Tye9DgllfZze1VY1vG843yz/xuGNB5Ch3odVMcRtiBlGRxLMh1g61NLdRpRRVKSLCWqL2Qdhpx01UmuSa8GvQjxCqnWAu5T+ae4/ZfbySrJYmq/qbSv194CCW1LmG8Y73R7hyM5R3hl8ysW20JB2A9N03hjyxt4uXjxVNunVMcRtqCiFFY8B6HNoK19Pt3rrKQkWUpUX9NbO5tNctO7MSJ6BOsy1nGm8EyVP+5Y3jHGLx9PUWURXw34ioTaCZYLaWM6h3Xm4dYPs+zYMmamzFQdRyj2y/Ff2HpuK4+2eZQQrxDVcYQt2Pwx5J6AQW/J+Wx2RkqSpdRqAoENTbtv25lR0aPQ6XTMS5tXpdenZqdyx/I7MGgGvh3wLXG14iyc0Pbc3fJueob35N3t75J8IVl1HKFIQXkB7+54l7hacYyOGa06jrAF+WdM57M1HQqNe6pOI66RlCRL0elMs0nH1kJlueo016Sebz26h3Vn/uH5VBgqrvjafRf3ceeKO3HTuzFt4DSnPZNKr9PzRrc3qOdbjyeTnjTbNgrCvkzZPYWskixe7PiizR7aLKzst5dNB58PeEN1ElENUpIsKaovVBTBqS2qk1yzMbFjyCrNYtWpf58J23l+J/f8dg9+7n5MHzSdyIBI6wW0Qf7u/rzf833yy/N5au1TVBivXDCFYzmQdYDZqbMZGzuWuBDnm00Vl3FyK+ybA50fgaBI1WlENUhJsqRG3UDvZnfrkgC6hHUhzDfsXxdwbz6zmft/u59Qr1CmD5xOmG+YlRPaptjgWF7u/DI7z+/kg50fqI4jrMRgNPDa5tcI8gjikTaPqI4jbIHRaDqfza8+dJugOo2oJilJluThBw062uW6JL1Oz6iYUWw/t51jecf+8r61p9by8KqHifCP4NuB31LHp46ilLZpaOOhjGs6ju8Ofsfy9OWq4wgrmJc2jwNZB3i63dP4u/urjiNsQfIPcDYZ+r0K7j6q04hqkpJkaVF94fx+yD+rOsk1uyHqBlz1rsxNnXvp91akr+DxNY8THRTNtwO+lad3/sVTbZ8iITSBlza+xNHco6rjCAvKLMnkw10f0qFeBwY3Gqw6jrAFJbmw8hWI6AgtR6lOI2pASpKl/bEVwFH7m02q5VWLfg37sejoIsqN5Sw+uphn1j1Dy9CWfNn/SwI8AlRHtFluLm681/M9vF29eXzN4xSWF6qOJCzkvR3vUWIo4fkOz8sBtsJk7TtQnAWD35Hz2eyclCRLqxMHvnXtcl0SwJiYMRSUF/Bt5rc8v+F52tVtx+d9P8fP3U91NJtX27s2k3pM4lTBKV7c+KJsNOmAtp3dxtJjS7kj7g4aBTRSHUfYgoupsO0LaHMb1GulOo2oISlJlvbHVgBH14ChUnWaa5ZYJ5GowCj2l+yne3h3PunzCd5u3qpj2Y22ddsyIXECK0+u5NsD36qOI8yowlDB61tfJ8w3jHvj71UdR9gCTYPl/wU3H+jzkuo0wgykJFlDdF8ozYUzu1QnuWY6nY5n2z9LP/9+fNDzAzxcPFRHsju3Nr+VAZED+HDXh2w9u1V1HGEm0w5M43jecZ7r8Byerp6q4whbkLbctLSi57PgI+s1HYGUJGto3BN0eru95dahXgeuD7peTjKvJp1Ox6udX6WRfyOeWfcM54rOqY4kaiijIIMv9n5B3wZ96R7eXXUcYQsqy0yzSCGx0P4e1WmEmUhJsgavIAhvZ7clSdSct5s37/d6nzJDGROSJlBusK9d2MX/aJrGW9veQq/T85/2/1EdR9iKLZ9CznEY+CbIN5QOQ0qStUT1hdO7cCvPV51EKNIooBFvdHmDfZn7eHvb26rjiGpafWo1azPW8mCrB6nrU1d1HGELCs7BukkQOxii+qhOI8xISpK1RPUBNIJyklUnEQr1adiHO1vcyZy0OSw8slB1HHGNiiuKeWvbW0QFRnFz85tVxxG2YuVEMJTL+WwOSEqStdRrDd61CM62v8Xbwrweaf0IHep24PUtr3Mo65DqOOIafL7nc84VneOlTi/hppdbKgI4tR32zIROD0FwY9VphJlJSbIWvR6a9CE4eycYDarTCIVc9a683f1tAj0CeSLpCfLK8lRHElVwOOcw3x/8nhuibqB17daq4whbcOl8tnrQ7SnVaYQFSEmyptiBuFfkQ8YO1UmEYrW8avF+z/e5UHyB/6z/D0bNqDqSuAJN03h9y+v4uPvwROITquMIW7Fnhmlrl76vgIev6jTCAqQkWVNUX4w6F0j9WXUSYQNahrbk2fbPsvH0Rj7f87nqOOIKFh1dxK4Lu3iizRMEeQapjiNsQWm+6Xy28PYQP0Z1GmEhVy1JOp3OU6fTbdPpdHt0Ot0BnU73ijWCOSTPAPIC4kwbjgkBjI4ZzbAmw/hsz2esy1inOo64jNzSXCbvmEyr0FbcEH2D6jjCVqx7B4ouwqC35Xw2B1aVmaQyoLemaa2ABGCgTqfraNFUDiwzpD1cTIEsORlemDaafKHjCzQLbsaz65/lVMEp1ZHE33yw6wPyy/N5seOL6HUy+S6AzCOw5XNofTOEtVGdRljQVf+P10z+OMLc7fcfclJnNWXVam/6icwmid95unoyuedkdOh4Ys0TlFSWqI4kfpd8IZmfDv/Ezc1uJjY4VnUcYStW/BfcvKDPy6qTCAvTVeVkcp1O5wLsBKKATzRN+8c2szqd7l7gXoA6deokzpo1y8xR/6qwsBBfX/tbKFdYWEjPQ89R4ebHngT72VPDnj/f9pL7QMkBvrjwBW192nKDxw34+fmpjlQt9vQ5/7O/5zZoBt49+y5FxiKer/88nnrbPJ/NUT7f9sI7YwPtj7zLkSZ3kBExXHWcKrPXz7e1cvfq1Wunpmlt//EOTdOq/AMIBNYALa70usTERM3S1qxZY/ExLGHNmjWatvIVTZsYpGnF2arjVJldf77tyKfJn2otprXQXln0iuoo1WZvn/M//D33dwe+01pMa6GtOL5CTaAqcpTPt12oKNOK3mqqaR8lalpFmeo018QuP9+a9XIDO7TL9JlrusGuaVru7yVpYE1bm1OLHQyaAQ7LWW4CjEaNw+cLmLntJGkpHXAri2NO9jy6TBvHy6umc75Q9lGytvNF5/l498d0CetCv4b9VMcRtmLr53iXnDGdz+bqrjqNsALXq71Ap9OFAhWapuXqdDovoB8gB0/VRP024FPbtBVA/GjVaYSVlVYY2Hc6jx3pOexIz2bnyRxyiysACPF1p3WDhzhVNo9z+mTmZ0zip5MfEOrSmsGNBnFvuyEEeHor/hM4vne2v4NBM/B8++fRyZNLAsBQCZumkB2UQHC0FGdncdWSBNQDpv++LkkPzNE0ballYzk4vR5iB8KBhVBZLt+ROLjsonJ2nshhx4lsdqTnsC8jj3KDafPIJqE+DGhel7aRQbSNDCayljc6nY6kJAPdu7/PnP0bmHlgEcdKNvHdse18d+Qd6ru1Y0TMUG5v3RdPN/m7Y24bT2/k1xO/8lDCQ0T4R6iOI2zF0dVQdIEzkXcRrDqLsJqrliRN0/YCsge/ucUMgl3fwclN0Lin6jTCTDRN40RWMdvTs9l5Ioft6dkcvVgEgJuLjvjwQO7oEknbyGASGwYR7PPvJUev13NjfHdujO9OaUU503evZH7aUs5UbOfjQ+v5eL8vjb06c1PcMMa06IpeL4+n11SZoYw3tr5BQ/+G3NniTtVxhC3ZMwO8gsmqlag6ibCiqswkCUto3BNcPSH1FylJdqzCYOTAmXx2pJtmiXacyCazsByAAC832jYMYmRiOO0ig2kZFoCnm0u1xvF0c+e+9oO5r/1g8kqLmbp9GT8f/5mjpat5Y/ev/N/2YJr7d2d8qxvoH5Ughamavt73NacKTjG131TcXWSWTvyuJAdSfobE8WhysLFTkZKkirs3NO5lWpc08C3ZsdVO5JdWsOtEzqVClHwql9IK062zBsHedI8OpW1kMG0jg4gK9UWvN/9/1wBPb57uNpqnu43mXEEOn25bxKpTK9hftJinNy/kv+vrkhDci/sSR9KxgeztU1UXKi7w1b6vGBQ5iE71O6mOI2zJ/vlgKIOEmyBNHqRwJlKSVIodBGm/wIWDUCdOdRrxN5qmcTq35NJtsx3pOaSeL0DTwEWvI66+Pze1b0C7yGDaNgyitr/199Gp6xfEq33G8yrjOZp1jk+2LWDD2V/ZkT+THWtm4mGIpEPtPjzcfhTNaodbPZ+90DSNudlz8XDx4Ol2T6uOI2zNnpkQ2gzqJUDaWtVphBVJSVIpZoDpbeovUpJsgMGocehs/qVStPNEDmfzSgHw9XCldYNABrWoR7vIIFpFBOLjYVv/+zSpVZfJgx4AHmD3meN8vuMntmeuZl3W16z9+Rt8tVh61O/Pwx1GEBFYS3Vcm7IifQUppSk82/5ZQr1DVccRtiTzMGRsh36vyoy/E7Ktr/LOxq8uhCWaSlL3p1SncTpFZZUkn8q9dOts98lcCssqAagX4Gm6bdYwiLaRQTSt64+LBW6dWUrr+o344vqngKdIOrafr3fPZ29uEj+f+4hlCz8hSNeSAQ0H8UD766jlbZ87e9fEsezzrE/fT/L5FI7mHuFk2RbcK8PYsDOG5P178PV0xdfj9x9/+rmPxz9/38NVL9sEOLI9M0Gnh/ixqpMIBaQkqRY7CFa/DgXnwa+O6jQO7Xx+6aVCtCM9h4Nn8zEYNXQ6iK3jxw2twy49ih8W6KU6rtn0bNyCno1bYDS+wJKU7Xy3bwGHizYw+8SbzDo+iTquiVzXZAj3JA7Cx8NDdVyzOpWXxfr0few6m8KR3KOcKzlOkXYaXAr/9yKjJ55aOF4513HYpZjC0nyKyiopLK+kCqc24arX/aM8+Xi44ufhio+HC74ebvh6uFz6fV+Pv5Yuvz/9vhQuG2M0wp7Z0KSP6Zta4XSkJKkW83tJSlsOiberTuNQSisMJJ2qYPHsZLafyOZUtungWE83PQkRgTzYswmJDYNo0zAIf0/Hf2JFr9czrHkHhjXvQKXBwI97kpibsoQTpZv5+vAWvk75Pxp4dmRU7HXc3KoX7q728+XhXEEO69IPsOvsIdJyjnCuOJ1C7TSay/8W2WpGdzy1+oS5t6FxQBNa1o6lS8M4WtRugF6vJykpiZ49e1x6vdGoUVJhoLCs0vSjtJKiskoK/vh5eSUFv//eX15TXklecTmnc4opLKukqMxwaYbyalz1OlOZcv9refrLTJanq6l0ebjh7+WKW6WcN24x6esgPwP6v6o6iVDEfr4KOqo6cRDQQEqSBbyy5AAzD5QT4ptJ24ZB3N7JtD9RXH1/3Fyc+xF5VxcXbm/Th9vb9KGorIxvdi1n8ZGfOVG2kcn71zB5TwAxPl25ucUwhjfrYDNbCmQVF7D2+H52njGVoTPFxykwZqC55F56jWZ0w0OrS133FkT6N6FlaAydG8TRqm4jXF2qvgWD/vcZIh8PV2o6x2s0ahRXGCgs/V+hKiq7TMn6/ff//Lrc4nJO5RRf+v2icsNfrh1XS0+/3ppFnqR0eskzwCMAYoeoTiIUkZKkmk5nuuW26zsoLzZtDSBq7ERWEXN2ZNA7wpWvH+wjtzCuwMfDg0c6DeORTsPIKS7k022LWXFiOanFy3l5xzJe2RJKi8Du3N16JL0at7RKptySItanH2Tn2UMcykrjTFE6+YYMjK5Zl16jGV1x1+pS260ZDf0a0yI0hk4RcbSp38TmZsH0et2l2aCaMho1ispNM1TL9p3ltaUH+XzdUR7sGWWGpOKSsgI4tATix4Cb9Z9cFbbBtr6SOKvYQbDtCzi+1vRzUWMfrjqMq17H9U3cpCBdgyBvX57vOY7nGcep3Cw+2Taftad/Y0/BfB5d/xNuSeEk1urN/W1HkBjWpMbjFZSVsPHEIbadPkhK1hEyio6TV3kKg0smOp3pNpKmueBmqE0ttyga+PUjLiSGDuHNaR8e7ZTHsuj1Ovw83fDzdOPOLpGs2JHKe7+m0aFRLRIbBqmO5zgOLoKKYmg1TnUSoZCUJFvQsAt4+Js2lpSSVGNHLhSycPdp7uraiEDPC6rj2K2IwFq81f8e4B5SLmbwybb5bD6/ki2537Fl5Xd4GZrQuV4/Hmo3guiQele8VnFFGVtOprI14xAHM1M5VXic3MpTVLpcRKczbcapaXpcDaEEuTYkwrcnzUNi6RDejI4NYvF2c6wF5eai0+kYH+fBmTKNR2fu5ufHuhHg5fjr66wieSYEN4GI9qqTCIWkJNkCV3eI6gNpK0xPU9jI+g979cHKNDzdXLi/RxP27ZCSZA5NQ8OZMuRR4FG2njzM1F0/sStrDasufM7KpVPx15rRO2IA97Ydyv68s2xfP5cDmWmcLDhOTsVJKlwuoNOZ1tJomg4XQwgBrhGE+3Slaa0oOoTH0blBU/w8HOepQmvxdtPx0U0JjPl8M/+dv5dPxrWR2dOaykmHExug9wuyN5KTk5JkK2IHw4EFcGY3hMsBitV16Gw+S/ee5aFeTajlK7MPltChQTQdGjwLPMuKw7uZlryAA/lrWXR6MotOTza9KNf0Rl9ZC3+XcMJ8OtC0VjSJ9ZrRLbI5gV4+quI7pDYNgniyfyxvL09h5rZTjOvQQHUk+7ZnNqCD+BtVJxGKSUmyFVF9QediuuUmJana3v8tDT9PV+7tVvP1MuLqBkS3ZkB0a4xGI/MObOKXI+vQFWhc37YP3SLjnHKjSlXu696YTUczeWXJARIbBhFbVz731aJpsGcGNOoGgRGq0wjF5L6OrfAOhgadTFsBiGrZm5HLrwfPc3fXxgR4y7oMa9Lr9Yxp2ZVvb3iO2xp0YXjzjlKQrEyv1/HemFb4ebryyMxdlPxtqwBRRSc3m263yYJtgZQk2xI7CM7vh5wTqpPYpcm/pRHo7cadXSNVRxFCidp+nkwek0Da+UJeXXpQdRz7lDwD3Hyg2XWqkwgbICXJlvzxZJvMJl2znSeySUq9yH3dm+DnBLtnC/FvuseEcl+PxszcdpJle8+qjmNfyovhwEJoPgw8fFWnETZASpItqdUEQmJN65LENXnv1zRCfN25vXND1VGEUO6p/rG0igjk2fl7OZVdrDqO/UhZBuUFkCC32oSJlCRbEzsQ0jdCad7VXysA2HQ0k01Hs3igZxTe7vIsghBuLnqm3NgaNHh01m4qDEbVkezDnhmmY6IadlGdRNgIKUm2JnYwGCvgyCrVSeyCpmlM/jWNuv6e3CyPPQtxSYNa3vzfiJbsPpnL+7+lqY5j+/JOw9E10OpG2atOXCJ/E2xNeDvwrgWpv6hOYhfWpl1kx4kcHuodhadb1Q8vFcIZXNeqPje2i+CztUfZcDhTdRzbtnc2oJlKkhC/k5Jka/QuEDMQDv8KhkrVaWyapmlM/i2NsEAvxraV/UyEuJyXr4ujSagvT8xJ5mJBmeo4tknTYM9MiOhoWhsqxO+kJNmimIFQmguntqhOYtN+O3ievRl5PNYnGndX+assxOV4ubvw8bjW5JVU8OTcPRiNmupItuf0LshMg4SbVCcRNkb+ZbFFTXqDi7vccrsCo9E0ixRZy5sRbcJUxxHCpjWt68+LQ5uzLu0iX204pjqO7dkzA1w9Ie4G1UmEjZGSZIs8fKFRD9PjqJp813c5P+8/S8q5Ah7vG4Ori/w1FuJqbunQgIFxdXlneSrJp3JVx7EdlWWwbx40HQqeAarTCBsj/7rYqthBkHPcNAUs/sJg1Hj/tzSia/tyXav6quMIYRd0Oh1vj4ynjr8nj87cTX5phepItiFtuWl5g9xqE5chJclWxQw0vZVbbv+wKPk0Ry8W8US/GFz0OtVxhLAbAd5ufHhjAqdzS3h+wX40mak2HUPiVw8a91KdRNggKUm2KiAM6rWSkvQ3FQYjH646TPN6/gyMq6s6jhB2p21kME/0jWbJnjPM3ZGhOo5ahRfg8G8QP8b0ZLEQfyMlyZbFDoZTW6FI9jf5w087MziRVcyEfjHoZRZJiGp5oGcUnRrX4qXF+zlyoUB1HHX2zQXNAK3kGBJxeVKSbFnsIECDtBWqk9iEskoDU1YfoVVEIH2a1VYdRwi75aLX8cGNCXi7u/LwjN2UVhhUR1IjeSbUbw21m6pOImyUlCRbVjce/MMgTW65AczeforTuSU82S8GnU5mkYSoiTr+nrw3uhUp5wp4Y9kh1XGs79w+OL8PEm5WnUTYMClJtkynMy3gPrIaKkpVp1GqtMLAx6uP0D4ymG7RIarjCOEQejWtzd1dG/H9lhMs339OdRzrSp4JejdoMVJ1EmHDpCTZutjBUFEE6etVJ1Hqhy0nuFBQxoT+MoskhDk9M7ApLcMC+M9PezmdW6I6jnUYKkxntcUOBO9g1WmEDZOSZOsiu4KbD6T+rDqJMkVllXyWdJSuUSF0bFxLdRwhHIq7q54pN7Wm0mDksZm7qTQYVUeyvCMroThTFmyLq5KSZOvcPCGqN6Qud9rdt6dtSierqJwJ/WNURxHCIUWG+PDGDS3ZcSKHj1YdVh3H8pJngHcIRPdTnUTYOClJ9iB2MBScgbN7VCexuvzSCqauO0bvprVp0yBIdRwhHNbw1mGMSgxnypojbDrqwNuOFGebdtluORpc3FSnETZOSpI9iO4POr1Tbiz59frj5JVUMKGfzCIJYWmvXB9HoxAfnpidTFZhmeo4lrH/JzCUQ4LcahNXJyXJHviEQHh7p1uXlFNUzjcbjjMwri4twuTgSSEszcfDlSk3tSanqIKn5+11zGNL9syEOi2gXrzqJMIOSEmyF7GD4NxeyDutOonVTF1/jMLySp6QWSQhrCaufgDPDW7K6pQLfLMxXXUc87qYCqd3Qis5zFZUjZQkexE72PTWSTaWzCwsY9rGdK6Lr09sXT/VcYRwKrd3jqRvszq89csh9mXkqY5jPskzQOdiOqtNiCqQkmQvQqIhuInTrEv6LOkoZZUGHusbrTqKEE5Hp9Px7qh4avl48MjMXRSWVaqOVHNGg2lvpKi+4CvHGomqkZJkL3Q60y234+ugzLEPpDyXV8oPW04wok04TUJ9VccRwikF+bjz4Y0JnMwu5sWF+1XHqbljSVBwFhLkVpuoOilJ9iR2kOmpjKNrVCexqE/WHMFg1Hisj8wiCaFSh8a1eLRPNAt2n+annRmq49TMnpngGQgxg1QnEXZESpI9ieho+p/cgW+5ZeQUM2v7Sca0iyAi2Ft1HCGc3iO9o2nfKJgXF+3n2MVC1XGqpzQPDi01ndPm5qk6jbAjUpLsiYsrxAwwbYRmNKhOYxFTVh1Bh46He0WpjiKEAFz0Oj68MQF3Vz2PzNxNWaUdfu05sBAqS2RvJHHNpCTZm5iBUJINp7apTmJ26ZlFzNuVwbgODagf6KU6jhDid/UCvHh3VCsOnMnnrV9SVMe5dntmQq1oCEtUnUTYGSlJ9iaqD+jdHHIrgA9XHcbNRceDvZqojiKE+Jt+zeswvnMk325MZ+XB86rjVF32MTi52bRgW6dTnUbYGSlJ9sYzACK7Oty6pMPnC1iYfJrbO0VS20/WDAhhi/47uCnN6/nz9Lw9nM0rUR2navbMAnQQf6PqJMIOSUmyR7GDITMNso6qTmI2H6w8jLebC/f1kFkkIWyVh6sLU8a1pqzSyOOzkjEYbfzYEqPRdKutcQ8ICFOdRtghKUn2KHag6a2DzCYdPJPPsn1nubNrI4J93FXHEUJcQZNQX14d1oKtx7P5ePUR1XGu7OQmyD0JCTerTiLslJQkexTYwHRAo4OUpMm/peHn6crdXRurjiKEqIKRbcIYnlCfD1elsfVYluo4/y55Jrj7QdOhqpMIOyUlyV7FDjItRizOVp2kRvacymXlofPc260xAd5uquMIIapAp9Px+g0taRDszeOzk8kpKlcd6Z/Ki+DgQogbBu6y55qoHilJ9ip2EGgGOPyb6iQ18t5vaQR5u3FH10aqowghroGvhytTbmpDZmEZT8/bi6bZ2PqkQ0ugvBBayd5IovqkJNmreq3Bt45dbwWwPT2bdWkXub9HE3w9XFXHEUJco5bhAfxnYFNWHjrPd5tPqI7zV8kzILAhNOikOomwY1KS7JVeb9pY8vBKqLTBqe4qeO/XVEJ8PbitU6TqKEKIarqrayN6xYbyxrJDHDiTpzqOSV6G6TDwVjeZvlYKUU3yt8eexQ6G8gI4sUF1kmu26UgmW45l81CvJni5u6iOI4SoJp1Ox6TRrQj0duORmbspKqtUHen3vZE0aCV7I4makZJkzxr3AFcvu3vKTdM0Jv2aSr0AT25q30B1HCFEDdXy9eCDGxM4nlnEy4sPqA2jaaa9kRp2gWBZ6yhqRkqSPXPzgia9IHW56QuDnUhKu8iuk7k83DsKTzeZRRLCEXRuEsLDvaKYtzODRcmn1QXJ2A5ZR0y32oSoISlJ9i52EOSdhPOKv3urIk3TmPxrGuFBXoxOjFAdRwhhRo/1iaZtwyCeX7Cf9MwiNSGSZ5hm2JsPUzO+cChSkuxdzEBAZze33H49eJ59p/N4rE807q7y108IR+LqoufDm1qj18Gjs3ZTXmm0boCKUjgwH5pdB57+1h1bOCT5V8re+daGsERI/Vl1kqsyGk2zSI1DfLihtZyjJIQjCgv04p1Rrdibkce7K1KsO3jqz1CaBwlyq02Yh5QkRxA7CM7sgoJzqpNc0bJ9Z0k9X8BjfaNxdZG/ekI4qoEt6nJLxwZ8uf44a1IvWG/gPTPBPwwa9bDemMKhyb9UjiB2sOlt2nK1Oa6g0mDk/ZVpxNTx5br4+qrjCCEs7IUhzWla148n5+zhfH6p5QcsOAdHVkH8WNDLAyHCPKQkOYLazUw7y9rwuqRFyWc4drGICf1i0Ot1quMIISzM082Fj8e1pri8kidmJ2MwWvgJ3L1zTEc1JcgxJMJ8pCQ5Ap3OdMvtWBKUF6tO8w8VBiMfrjpMXH1/BsTVVR1HCGElUbX9eOX6ODYdzeLztUctN9AfeyOFtYWQaMuNI5yOlCRHETsIKktNRcnGzNuZwcnsYp7sH4NOJ7NIQjiTMW0jGBpfj8m/pbHzRLZlBjm7By4clAXbwuykJDmKhl3AI8DmnnIrqzQwZdVhEiIC6RVbW3UcIYSV6XQ6/m9ES+oHevLozGTyiivMP8iemeDiDnEjzH9t4dSkJDkKFzeI7mtavG208t4kVzBr2ynO5JXyVP9YmUUSwkn5e7ox5aY2nM8v5T8/7UUz5wkBleWwb65pNt072HzXFQIpSY4lZhAUXYTTO1UnAaCk3MDHa47QvlEwXaJqqY4jhFAoISKQpwfEsvzAOX7cetJ8Fz7yGxRnQcLN5rumEL+TkuRIovuCzgXSbOMptx+2nOBiQRlP9pO1SEIIuKdbY7rHhPLq0oOcKjDTjHfyDPCpDU36mOd6QvyJlCRH4hUEDTvbxFYAhWWVfLb2KN2iQ+jQWGaRhBCg1+t4b3QrArzceHd7CftP59XsgkVZkLYC4seAi6t5QgrxJ1KSHE3sYNNTHtnHlcaYvimd7KJynuwfqzSHEMK2hPp5MPOeDrjqdYz9YjMbj2RW/2L754GxAlrJU23CMqQkOZrYgaa3Cnffziup4Iu1R+nbrDYJEYHKcgghbFNUbT9e6OhJWJAX47/dxpI9Z6p3oeQZULcl1G1h3oBC/E5KkqMJbgyhTZXecvt6w3HySyt5ol+MsgxCCNsW7Kln7n2dSYgI5NFZu5m28Rpnvy8cgrPJ0Ep22BaWIyXJEcUOghMboSTX6kPnFJXzzYbjDG5Zl7j6AVYfXwhhPwK83fj+rg70bVaHiUsO8s7ylKpvD5A8A/Su0HK0ZUMKpyYlyRHFDgZjJRxZafWhv1h3jKLySh7vK7NIQoir83Rz4bOb23BT+wZ8mnSUZ+btpdJwlSffDJWms9qi+4NvqHWCCqckJckRhSWCd4jVb7ldLChj+qZ0hrWqT0wdP6uOLYSwX64uev7vhhY82ieauTszuO/7nZSUG/79A46tgcJzsmBbWJyUJEekd4GYgaZN1gwWOALgX3yWdJRyg5HHZBZJCHGNdDodE/rF8NrwFqxOvcDNX20hp6j88i9OnmHa8iRmgHVDCqdz1ZKk0+kidDrdGp1Od1Cn0x3Q6XSPWSOYqKHYQVCaByc3W2W4s3kl/LD1BCPbhNEoxMcqYwohHM+tHRvyybg27D+dz+gvNnMmt+SvLyjJhZRl0GIUuHooySicR1VmkiqBJzVNaw50BB7S6XTNLRtL1FiTXuDiYbVbbp+sOYKmaTzSO9oq4wkhHNfglvWYfmd7zueVMuLTTaSdL/jfOw8sAEMZJMitNmF5Vy1Jmqad1TRt1+8/LwAOAWGWDiZqyN0HGvcwlSRzHiZ5Gaeyi5m9/RRj20UQEext0bGEEM6hU5NazL6vEwZNY9Rnm9iRnm16x56Zpm1O6rdRG1A4Bd21nMas0+kigXVAC03T8v/2vnuBewHq1KmTOGvWLDPG/KfCwkJ8fX0tOoYlWDN3vTPLiU37jG3tplDs06BG17pS7q/3lbH5bCXvdvciyNO2lrnJ3xPrs9fsktu6qpr7YrGRSTtKyS7VeK5ZFnccfYSjjW/nVIMRVkj5T47++bY11srdq1evnZqmtf3HOzRNq9IPwBfYCYy42msTExM1S1uzZo3Fx7AEq+bOO61pL/tr2rr3anypf8t97GKh1vi/y7RXFh+o8RiWIH9PrM9es0tu67qW3JkFpdr1U9ZrU56/TTO8HKhpeWcslutqnOHzbUuslRvYoV2mz1Tp236dTucG/AT8qGnafPN1N2FR/vWhfmuLrkv6cGUa7i56HujZxGJjCCGcWy1fD2bc3Z4bPTax3tCCKdsLq77ppBA1UJWn23TA18AhTdMmWz6SMKuYQZCxHQovmv3SaecLWLTnDLd3jiTUT54yEUJYjs+ZzYQYLnAiYhjv/ZbGy4sPYDBKURKWVZWZpC7ArUBvnU6X/PuPwRbOJcwldhCgweEVZr/0ByvT8HF35b7ujc1+bSGE+Is9M8HDn1tuf5B7uzfmu80neGTmLsoqr7DppBA15Hq1F2iatgHQWSGLsIS6LcE/3HTLrfUtZrvsgTN5/LzvHI/2iSbIx91s1xVCiH8oK4SDi6HlSPQe3jw3uBmhvh688fMhsou2MfW2tvh7uqlOKRyQbT2KJMxPp4PYgXB0NVSUmu2y7/+Whr+nK3d1bWS2awohxGUdWgwVRZBw86Xfuqd7Y94f24od6TmM/WILF/LN9/VNiD9ISXIGsYOgohiOrzPL5XafzGHloQvc16MJAV7y3ZsQwsKSZ0BwY4jo8JffvqF1OF/d3pYTWUWM+GwTxzOLFAUUjkpKkjOI7AbuvpD6s1kuN/m3NIJ93BnfOdIs1xNCiH+VcwLS15sOs9X9c+VHz9jazLinI8XlBkZ9tom9GbnWzygclpQkZ+DqAVF9IG05GI01utS249msP5zJAz2a4ONx1SVtQghRM3tnm97Gj/3XlyREBDLv/k54ubtw49QtrEsz/9O8wjlJSXIWMYOg4CycTa72JTRNY9KvqYT6eXBLx4bmyyaEEJejaaan2iK7QdCVv+Y0DvVl/gOdaRDszZ3TtrNw92krhRSOTEqSs4juDzq9aTapmjYeyWLb8Wwe7hWFl7uLGcMJIcRlnNoK2cdMt9qqoLa/J3Pu70RiwyAen53MV+uPWTigcHRSkpyFTy2I6FjtdUmapvHeb6nUD/DkxvYRZg4nhBCXkTwD3Hyg+bAqf4i/pxvT72zPoBZ1eX3ZId78+RBG2XRSVJOUJGcSOwjO7YPcU9f8oXsuGth9MpdH+kTj4SqzSEIIC6sogQMLoPn14HFtB5x6urnw8bg23NKxAV+sO8ZTc/dQYajZekzhnKQkOZPYQaa313jLTdM0FhypoEGwN6MSwy0QTAgh/iZlGZTlV/lW29+56HW8NqwFE/rFMH/3ae75bgfF5ZVmDikcnZQkZxISDbWirvnA28V7znAi38hjfaJxc5G/MkIIK0ieAQERpkXb1aTT6Xi0TzRvjmjJurSL3PTlVrKLys0YUjg6+RfP2cQOMm0qWZpfpZfP2XGKp+buoaG/nmEJ9S0cTgghgPyzcGyN6bF/fc3/mbqpfQM+uyWRlLP5jPpsE6eyi80QUjgDKUnOJnYwGCtMx5RcgdGo8eYvh3hm3l46NKrFM+08cZVZJCGENeydDZqx2rfaLmdAXF2+v6sDmYVljPxsE4fOVu0bReHc5F89ZxPeHryCrnjLrbi8kgd+3MkXa48xrkMDvr2jHT5ucsaxEMIK/tgbKaIDhESZ9dLtGwUz9/7O6HU6xnyxmS3Hssx6feF4pCQ5GxdXiB4Ah38Fwz8XMZ7PL2XsF1v49eB5XhzanDeGt5B1SEII6zmzGy6mmHUW6c9i6/rx04Odqe3nwW3fbGP5/rMWGUc4BvnXzxnFDoKSbMjY9pff3n86j2Efb+ToxUK+uq0td3VthO4yZyUJIYTFJM8AFw+Iu8FiQ4QFejHv/s7E1ffnwR938cOWExYbS9g3KUnOKKoPuLj/ZWPJ3w6eZ8wXm9HpYN79nenTrI7CgEIIp1RZBvvnQdMh4BVo0aGCfNz58e4O9IytzQsL9/P+b2lommw6Kf5KSpIz8vCDyK6Q+guapvHlumPc+/0Oomr7suihLjSv7686oRDCGaWtgJIcSBhnleG83V354tZERrYJ58NVh3luwX4Msju3+BM5xt1ZxQ6Gn59i8syfmbIXBrWoy+QxCXImmxBCnT0zwbcONO5ltSHdXPRMGh1PbX8PPks6SnZRGR/e2BpPN/laKGQmyWnlN+gLQOmBpTzYswmfjGsjBUkIoU5RpumBkvgxpgdMrEin0/GfgU15aWhzVhw4z21fbyOvpMKqGYRtkpLkhE5kFXHDjyc4qDXk3jqpPDOwKXq9LNAWQii0by4YK6GVdW61Xc6dXRvx0U2t2X0qh7FfbOZ8fqmyLMI2SElyMtuOZzP8k41kFZXj3+p6QnN2Q3G26lhCCGeX/CPUS4A6zZXGuL5Vfb4d355T2cWM+HQTRy4UKs0j1JKS5ETm78rglq+2EuTtzoIHuxDeYYRpV9vDv6qOJoRwZuf2w7l9VluwfTVdo0OYdW8nyioNjP58E7tP5qiOJBSRkuQEjEaNSStSmTBnD4kNg5j/YGcahfiYvmvzq/eXrQCEEMLq9swEvRu0GKU6ySUtwwOYd39n/DzdGPflVtakXlAdSSggJcnBlVYYeGTWbj5ec4SxbSOYfmd7Ar3dTe/U6yFmIBxZZdqfRAghrM1QCXvnQMwA8KmlOs1fRIb48NMDnWkc6sPd03fw084M1ZGElUlJcmAXCkoZO3ULP+87y38HNeWtkS1xd/3bf/LYQVBeCOkb1IQUQji3o6ug6ILFjiGpqVA/D2bd25GOjYN5cu4eVp6Qp96ciZQkB3XobD43fLKJtHMFfH5LIvf1aHL5I0YadQc37yseeCuEEBaTPAO8a0F0f9VJ/pWfpxvfjG9H76a1mZVaTnpmkepIwkqkJDmgNSkXGPXZJiqNRube34kBcXX//cVuXtCkt6kkyZb8QghrKs42rYlsORpc3VWnuSIPVxfeHNESVx1MXHJAjjBxElKSHIimaXy78Th3Td9OZIgPix7qSouwgKt/YOwgyM8wPV0ihBDWcmA+GMpt9lbb39Xx9+SGaHeSUi+y4sB51XGEFUhJchCVBiMvLTrAK0sO0rdZHebe34m6AZ5V++DoAYAO0pZbNKMQQvxF8kyo3RzqtVKdpMr6NnClaV0/Xlt6kOLyStVxhIVJSXIA+aUV3Dl9B99vOcF93Rvz+S2JeLtfw7b+vqEQ3k62AhBCWI1XcQac3mGaRbrcekkb5aLX8eqwFpzOLeHj1UdUxxEWJiXJzp3KLmbkp5vYdCSTt0a05L+Dm1XviJHYQXBmN+SfMX9IIYT4m7rn1oBObzqrzc60bxTMiDZhfLn+mOzI7eCkJNmxnSdyGP7JRs7nl/Ldne25sX2D6l8sdpDprdxyE0JYmtFAnfNrIKov+F3hwRIb9t9BzfB0c2HiYlnE7cikJNmpRcmnuenLLfh6urLgoS50jgqp2QVDm0JQJKRKSRJCWNjxdXiWZdnNgu3LCfXz4OkBsWw4ksmyfWdVxxEWIiXJzmiaxgcr03hsVjIJEYEsfLALTUJ9a35hnQ5iB8OxJCiXPUCEEBaUPIMKVx/T1xw7dnOHhsTV9+e1pQcpLJNF3I5ISpIdKa0w8PjsZD5YeZiRbcL5/q72BPmYcW+R2EFgKIOja8x3TSGE+LMjK2H/PM7X6QluVXwC10a56HW8NrwF5/PL+GjVYdVxhAVISbITmYVl3PzVVhYln+HpAbFMGh2Ph6uLeQdp0Ak8AmT3bSGEZWQegbl3Qu3mHG90q+o0ZtGmQRBj20bwzYbjpJ0vUB1HmJmUJDtw+HwBwz/ZyP7TeXx6cxse6hV1+SNGasrFDaL7mRZvGw3mv74QwnmV5MLMG8HFFW6cgcHVS3Uis/nPoKb4errywsL9sojbwUhJsnHr0i4y4tNNlFUamXNfJwa3rGfZAWMHQXEmnN5p2XGEEM7DaICf7oKc4zDmOwhqqDqRWQX7uPPMgKZsO57NomTZRsWRSEmyYd9vOcEd07YTHuzNooe60Coi0PKDRvUFvatsLCmEMJ+VL5vWIg1+FyK7qk5jEWPbRdAqPIDXlx0iv7RCdRxhJlKSbJDBqPHKkgO8uHA/PWNCmXt/J+oHWmlq2isQGnaWdUlCCPPYMws2TYF2d0PbO1WnsZg/FnFnFZUx+dc01XGEmUhJsjGFZZXcPX07325M566ujZh6W1t8Pa7hiBFziB0MF1Mg+5h1xxVCOJaMHbD4UYjsBgPfUp3G4uLDA7m5QwO+25zOwTP5quMIM5CSZENO55Yw6rNNrDucyevDW/Di0Oa4VOeIkZqKGWh6KxtLCiGqK/8MzLoZ/OrA6OmmB0OcwFP9Ywn0dufFRfsxGmURt72TkmQjkk/lMuzjjZzOLWHaHe24paPChY3BjUwnc8u6JCFEdVSUmApSWQHcNAt8aqlOZDWB3u48O6gpO0/k8NOuDNVxRA1JSbIBy/aeZewXm/Fy1zP/gc50iw5VHck0m3RiE5TkqE4ihLAnmgZLHoMzu2DEVKgTpzqR1Y1qE05iwyDe+iWFvGJZxG3PpCQppGkaH68+zEMzdtEyLICFD3Yhuo6f6lgmsYNBM8CRVaqTCCHsyaaPYO9s6PUCNBuqOo0Ser2OV4fFkVNczru/pqiOI2pASpIiZZUGnpy7h0m/pjE8oT4/3N2BWr4eqmP9T1gi+ITKLTchRNWl/Qq/vQzNh0P3p1SnUSqufgC3dYrkx60n2ZeRpzqOqCYpSQpkF5Vz61fbmL/rNBP6xfD+2AQ83cx8xEhN6fWmW26HV0Jlueo0QghbdzHVtGFk3RYw/FPTodlObkL/GGr5ePCCLOK2W1KSrOxMoZEbPt1IckYuH93Umkf7RFvmiBFziB0EZXlwcpPqJEIIW1aSAzNvAhd3uHEmuPuoTmQT/D3deH5IU/acymXW9lOq44hqkJJkRZuPZvH6lhKKyiqZdW9Hrm9VX3WkK2vcE1w9ZSsAIcS/M1TC3Dsg9ySM/QECI1QnsinDE8Lo0CiYd1akkF0ks/L2RkqSlRw+X8A93+0g0FPHgge70KZBkOpIV+fuYypKqT+bnlgRQoi/++0lOLYGhrwHDTupTmNzdDrTTtwFpZW8s1wWcdsbKUlWkFNUzl3Td+Dp5sKTiZ5EBHurjlR1sYMg9wQ+RSdVJxFC2JrdP8CWT6D9fZB4u+o0Niumjh93dolk1vZT7Dop26rYEylJFlZhMPLAjzs5l1/K1NsSqeVlZ5/y33ffrpW1TXEQIYRNObUNlj4BjXrAgP9TncbmPdY3hjr+Hry4cD8GWcRtN+zsX2z788qSA2w5ls1bI1raxy22v/OrC/XbEHpxk2ntgRBC5J027ajtHwajp4GLlc+XtEO+Hq68OLQ5B87k8+PWE6rjiCqSkmRB329O54ctJ7mvR2NGtAlXHaf62t2FX+ExmH+PFCUhnF15McwaZzp65KaZ4B2sOpHdGNKyHl2jQnh3RSoXC8pUxxFVICXJQjYdyWTikoP0aVqbZwY0VR2nZlrfwtHG4+HAfPjpTjDINvtCOCVNg8UPw9k9MPJLqN1MdSK7otPpeGVYHKUVBt76RRZx2wMpSRaQnlnEAz/uokmoDx/cmICL3kb3QboGpxrcYFp3cHARzLtDNpgUwhltmAz7f4I+L5oe6hDXrEmoL/d0a8xPuzLYnp6tOo64CilJZpZfWsHd3+1Ar4OvbmuHn6eb6kjm0+khGPgWHFoCc8dLURLCmaT+AqtegxYjoesE1Wns2sO9owgL9OLFhfupNBhVxxFXICXJjAxGjUdn7iY9s4hPb06kQS07etS/qjo+AIPehdRlMOc2qJT76kI4vAuH4Ke7oV4ruP5jOXKkhrzdTYu4U84VMH2zLOK2ZVKSzOjt5SkkpV7klWFxdGpSS3Ucy+lwr2njuLRfYPatUFGqOpEQwlKKs2HmjeDmDTfOAHcH/OZPgQFxdegZG8r7v6VxPl++htoqKUlmMm9nBlPXHeO2Tg25uUND1XEsr93dMPQDOLwCZt8sRUkIR2SogLm3Q/4ZuPFHCAhTnchh6HQ6Jl4XR7nByBvLDqmOI/6FlCQz2Hkim+fm76NLVC1eHNpcdRzraXsHXD8FjqyCWTeZHgkWQjiOFc/D8XUw9H2IaK86jcOJDPHh/h5NWLznDJuOZqqOIy5DSlINnc4t4b7vd1I/0JNPxrXBzcXJPqVtboNhn8DRNTBjrGkPFSGE/ds5HbZ9AR0fgta3qE7jsB7s2YSIYC9eWnSA8kpZxG1rnOxfdPMqLq/knuk7KKsw8tXtbQn0dlcdSY3WN8Pwz0zfcc4YA+VFqhMJIWrixGZY9iQ06Q39XlWdxqF5urkw8bo4jlwo5JuNx1XHEX8jJamajEaNJ+fsIeVcPh+Na01UbT/VkdRKuAlGTIUTG+HHMVBWqDqREKI6ck/B7FsgsAGM+kaOHLGCPs3q0LdZHT5adZgzubJswZZISaqmD1Yd5pf953hucDN6xdZWHcc2xI+BEV/CyU3w42goK1CdSAhxLcqLTOsLDeWmI0e87PC8STv18nXNMRg1Xl92UHUU8SdSkqph6d4zfLTqMKMTw7mrayPVcWxLy1Ew8ms4tRV+GAWl+aoTCSGqQtNg4YNwbr/p/+HQWNWJnEpEsDcP94ri533nWJd2UXUc8TspSddo/+k8npq7h8SGQbx+Qwt0sqnaP7UYYZqmP70DfhgJpXmqEwkhrmbdJDi4EPq9AjH9VadxSvf2aEyjEB9eXnyAskqD6jgCKUnX5EJ+Kfd8t4NaPh58fksiHq4uqiPZrrjhMHoanNkF34+QoiSELTu0BNa8DvFjofOjqtM4LQ9XFyZeH8fxzCK+XHdMdRyBlKQqK60wcO/3O8ktrmDqbYmE+nmojmT7ml0HY74znRj+3XAoyVGdSAjxd+cPwPz7oH4buO5DOXJEsR4xoQxqUZeP1xzhVLZsqaKalKQq0DSN5+bvI/lULu+PbUVc/QDVkexH0yEw9gc4vx++G2Y64kAIYRuKsmDmTeDhZ9pR281LdSIBvDi0OXqdjleXyiJu1aQkVcEX644xf/dpJvSLYWCLeqrj2J/YgTD2R7iQAt9dL0VJCFvwx5EjBedMBcm/vupE4nf1A714tE80vx08z+qU86rjODUpSVex6tB53l6ewtD4ejzSO0p1HPsV0x9umgEX02D69abvYIUQ6ix/FtLXw/UfQXhb1WnE39zZpRFRtX15efEBSitkEbcqUpKuIO18AY/O3E2L+gG8O6qVPMlWU1F9YdwsyDoM06+DIjmrSAgltn8N27+Czo9AqxtVpxGX4e6q59VhcZzKLuGzpKOq4zgtKUn/IruonLun78Dbw5WptyXi5S5PsplFk94wbjZkH4NpQ6HwgupEQjiX9A3wyzOmb1r6vqI6jbiCzk1CuL5VfT5be5QTWXLckwpSki6jwmDkwR93ci6/lKm3JlIvQBYzmlXjnnDzHMg9YSpKBXLPXQiryDkBc26DoEamDSP18s2frXt+SDPcXfS8vPgAmqapjuN0pCT9jaZpvLz4AFuOZfPOyHhaN5Bt+S2iUXe4eS7kZcD0oabFo0IIyykrhFnjwFAJN80Cr0DViUQV1PH35PG+0SSlXuTXg/INpbVJSfqb77ecYMbWkzzQswnDW4epjuPYIrvCLfMg/wxMG2J6K4QwP6MRFtwHFw7C6G8gRB5CsSfjO0fStK4fry45SHF5peo4TkVK0p9sPJLJK0sO0rdZbZ7uL+cWWUXDznDLfNMtt2lDIO+06kRCOJ61b0PKUuj3mmktkrArri56Xh3WgtO5JXy8+ojqOE7lqiVJp9N9o9PpLuh0uv3WCKTK8cwiHvxxF1GhvnxwY2v0enmSzWoadIBbF5iedps2GHJPqU4khOM4uAjWvgWtxkGnh1SnEdXUvlEwI9qE8eX6Yxy9WKg6jtOoykzSNGCghXMolV9awd3Tt6PXwVe3t8XXw1V1JOcT0Q5uXQjFOaYZpdyTqhMJYf/O7YMF90N4Oxj6vhw5Yuf+O6gZnm4uvLxIFnFby1VLkqZp6wCH3SLZYNR4ZMZuTmQV89ktiUQEe6uO5LzCE+G2hVCaC98OgZx0xYGEsGOFF01HjngGmo4GcvNUnUjUUKifB0/1j2XDkUyW7TurOo5T0FWljep0ukhgqaZpLa7wmnuBewHq1KmTOGvWLHNlvKzCwkJ8fX1rfJ2ZKWWsSK9kfJw7PSPczJDsysyV29qsmdu34Cit9ryEwcWL5ITXKfWqW+1ryefb+uw1uyPl1hkraLXnJfwKjpCc8H8U+EcrSvfvHOnzbU1GTeOVzaXklWm82c0LL9eqzQ6qzl1d1srdq1evnZqm/XPreU3TrvoDiAT2V+W1mqaRmJioWdqaNWtqfI3Z209qDf+zVHt50f6aB6oic+RWweq5zyRr2lsNNe29ZpqWeaTal5HPt/XZa3aHyW00atriRzXtZX9N2ztXSaaqcJjPtwI70rO1hv9Zqr2x7GCVP8YWcleHtXIDO7TL9BmnfbptR3o2zy/YR9eoEF4Y0kx1HPF39VrB7UugosS04WSWbMsvRJVs/wp2ToOuT0DLUarTCAtIbBjE2LYRfLPhOGnnC1THcWhOWZIycoq5/4edhAd588m4Nri6OOWnwfbVbQnjl4KhHL4dDJmHVScSwrYdWwu//AdiBkLvF1WnERb0n0FN8fFw5cWF+2URtwVVZQuAmcBmIFan02XodLq7LB/LcorKKrnnu52UVRr58ra2BHhbfh2SqIE6caaipBlMReliqupEQtim7OMw93aoFQUjvpQjRxxcsI87zwyMZevxbBYly0a8llKVp9tu0jStnqZpbpqmhWua9rU1glmC0ajx5Jw9pJ7L5+NxbYiqbX+L2JxS7WYwfpnp8eVpQ+DCIdWJhLAtZQWmJ9k0DW6aCZ7+qhMJK7ixXQNahQfwxs+HyC+tUB3HITnVfaYPVqax/MA5nh/SnB4xoarjiGsRGvt7UXIxrVE6f0B1IiFsg2aE+fdBZhqMnga1mqhOJKzERa/jteEtyCws4/3f0lTHcUhOU5KW7DnDR6uPMKZtOHd2iVQdR1RHSLSpKLm4wfTrTBvlCeHkItNnQuoyGPB/0KSX6jjCyuLDAxnXvgHTN6Vz8Ey+6jgOxylK0t6MXJ6au4d2kUG8NrwFOtl11n6FRJmKkqunqSid3as6kRDq7P+JyBNzoPWt0OE+1WmEIk8PiCXQ252XFu3HaJRF3Obk8CXpQn4p9363kxBfDz67JREPV1nMaPdqNTEt5nbzMRWlM8mqEwlhfbmnYNHD5Pk3gyHvyZEjTizQ251nBzVlx4kcftqVoTqOQ3HoklRaYeCe73eSX1rBl7e1JcTXQ3UkYS7BjeGOZeDhD99dD6d3qU4khHX9+gJoGgebTwBX+drm7Ea1CadNg0De+iWFvGJZxG0uDluSNE3j2Z/2sudULpPHJNC8vjzt4XCCIk0zSp4B8N1wyNipOpEQ1nEsCQ4uhG5PUuZZW3UaYQP0vy/izikuZ9KvslWKuThsSfp87TEWJp/hqf4xDGxR/bO/hI0LagjjfwbvIPh+OJzapjqREJZlqICfnzF9k9D5EdVphA2Jqx/AbZ0i+WHrCfZl5KmO4xAcsiStPHied1akcF2r+jzUK0p1HGFpgRGmouQTAt+PgJNbVScSwnK2fgGZqTDwbXDzVJ1G2JgJ/WOo5ePBC7KI2ywcriSlnivgsVm7aRkWwLuj4uVJNmcREGZ66s2vDvwwAk5sVp1ICPMrOAdJb0F0f4gdqDqNsEH+nm48P6Qpe07lMnvHKdVx7J5DlaTsonLumr4dHw9Xpt7aFk83eZLNqfjX/70o1YMfRkL6RtWJhDCv314GQxkMfEt1EmHDhieE0b5RMG8vTyG7qFx1HLvmMCWpvNLIAz/s5EJBGVNva0vdAJmGdkp+dU1FKSAcfhxFYI5sOCkcxMktsHeWaR2S7KotrkCn0/HasBYUlFbyzvIU1XHsmkOUJE3TeHnxAbYez+bdUfEkRASqjiRU8qtjeuotsCEt970GWUdVJxKiZowG+Pkp8A+Dbk+qTiPsQGxdP+7sEsms7afYdTJHdRy75RAl6bvNJ5i57SQP9mzCsIQw1XGELfCtDbfOR9O5wuJHwGhUnUiI6tv5rekYngFvgLuP6jTCTjzWN4Y6/h6mnbg1WcRdHXZfktYfvsirSw/Sr3kdnuofqzqOsCX+9TkSdSec2Ajbv1KdRojqKcqCVa9Bo+7QfLjqNMKO+Hq48sKQ5uw/nc/qk5Wq49gluy5Jxy4W8tCPu4gK9eX9sQno9fIkm/irc3X7QJM+sHIiZB9XHUeIa7f6VSgvhEHvytEj4poNja9H16gQ5qWVk5FTrDqO3bHbklRUoXH3dztwddHz1e1t8fVwVR1J2CKdDq7/CHR6ue0m7M/pXbBzOnS4H2o3VZ1G2CGdTsebI1oC8NTcPbJ30jWyy5JUaTDy2Z4yTmYV89nNbYgI9lYdSdiygHAY8Dqkrzet7RDCHhiN8PPT4BMKPf6jOo2wYxHB3oxr5s6WY9l8s1Fm1K+FXZakN39JYX+mgdeHt6BD41qq4wh70OZ2aNwTfnsJck+qTiPE1e2ZAad3QP/XwFPOnhQ10y3Mlb7N6vDOilQOny9QHcdu2F1JqjQYOZldTL+GrtzYvoHqOMJe6HRw/RTTzxc/AvKkh7BlJbmmjSMjOkL8WNVphAP447abn4crT8xJprxSlh5Uhd2VJFcXPV/cksiNse6qowh7E9gA+r1qOkF913TVaYT4d0lvQkk2DJbF2sJ8Qv08eOOGluw/nc/Hqw+rjmMX7K4kAej1OlzkSTZRHYl3QGQ3WPEC5Mq5RsIGnT8A2740/V2tF686jXAwA1vUZWSbcD5JOspu2WTyquyyJAlRbXq96babZoAlj8ltN2FbNA1+fgY8A6D3C6rTCAf18vXNqevvyYQ5eygpN6iOY9OkJAnnE9wI+r4CR1dB8o+q0wjxP/t/ghMboM9L4B2sOo1wUP6ebrw7Op7jmUW8+csh1XFsmpQk4Zza3Q0Nu8Dy5yD/jOo0QkBZIfz6AtRLgDa3qU4jHFznJiHc1bUR320+wbq0i6rj2CwpScI5/XHbzVAOSx6X225CvXXvQsFZGDwJ9C6q0wgn8PSAWKJq+/LMvL3kFVeojmOTpCQJ51Wriem2xuEVsHe26jTCmWUehs2fQMItENFOdRrhJDzdXHh/TAKZhWW8tHi/6jg2SUqScG4d7jPtRfPLM1BwTnUa4Yw0zfT3z80b+r6sOo1wMi3DA3i0TzSLks+wdK8sPfg7KUnCueldYNgnUFkGS5+Q227C+lKWwdHV0Os58K2tOo1wQg/2bEKriED+v73zDpOqSvrwWzNDziAgCIiIJEliRAFFkSSCGV3MC7prWBXMkV0woCjm9K27q66uYkQXEVEEA2ImiCiioogIiICCSKzvjzq9tuMAwzDT5/ZQ7/PMw3QAfvf27XN/p6pOnSuf/YhFP/4SW06icJPkODs0teXWn74AM5+MrcbZnli3Gl68DOq0ssUEjhOBvNwcRh3Xjl/WbeCSp2agPln8H26SHAdgv7Ogwd4w7iJYuTi2Gmd74Y1bYcXX1lk7Ny+2Gmc7pkntylzeuyWTPl3Co+/4/pYp3CQ5Dvyadlv7M4wd7Gk3p+T54Ut4YxS0PgYad4qtxnE4cd+d6bzbDgz/72zmfb8qtpxE4CbJcVLUbg5dL4PZz8OsZ2KrcUo746+AnDzoPiy2EscBbMuvG49pS5lcYfDoaWzY6JNFN0mOk07Hc6F+B3jhQlj1fWw1Tmnls5fh07Fw4EVQtX5sNY7zP+pVq8CwI1rzwdfLuXfy57HlRMdNkuOkk5tnabc1P5lRcpziZv0aW/Jfq6nVwjlOwujbrj6Hta3HrS/PYda3K2LLiYqbJMfJT91WcODFlnL7eExsNU5pY+rd8MPn0GsE5JWLrcZxfoeIMLxfa2pULMvgx6fzy7rtdxNcN0mOUxAHnA/12sHYIbBqaWw1TmlhxQKYfBO06ANNu8VW4zibpEalsow4pi2fLvqJURPmxJYTDTdJjlMQuWWg392wejm8eElsNU5pYcJVoBugx7WxlTjOFunavA5/2LcR97/+BW9/sX1OFt0kOc6m2LE1dLkIZj5hXZEdZ1v48nX46CnodAHUaBxbjeMUiit6t6RRzYoMeWI6K9esjy0n47hJcpzN0Xkw1G1jW5b8/ENsNU62smGdFWtXbwQHnBdbjeMUmkrl8rjluHZ8u3w1w57/OLacjOMmyXE2R24ZOOIu+HkpjL88thonW3n377D4Y+h5A5SpEFuN42wVe+5ckz8duCuPvzeflz9eFFtORnGT5Dhbol476DQYpv8H5oyPrcbJNlYuhlevs0Lt5r1jq3GcInF+t2a0rFeVS5+ewdKVa2LLyRhukhynMHS5yDYhff48K+Z2nMLy8lDbyLbnCBCJrcZxikTZvBxG9W/Hj6vXc/kzM7ebTXDdJDlOYcgra00mVy627SQcpzDMfwemPQIdz4YdmsZW4zjbRIsdqzKkezPGz1rE0x8siC0nI7hJcpzCslMHK7qd9m/bVsJxNsfGDda1vUo9i0Q6TilgYOcm7NO4JkOfm8WC5atjyylx3CQ5ztZw0KVQuwU8/xf4Zftu1+9sgQ8egoXToftwKFc5thrHKRZyc4Sbj2vHRlUuHD2djaV8E1w3SY6zNeSVsyaTPy2El66KrcZJKj//AK/8FXbuBK2Pjq3GcYqVhjUrcvXhrXjri6X8a8q82HJKFDdJjrO1NNgT9j8XPngQPp8YW42TRCYOh19+hN43erG2Uyo5bq+GdGtZhxEvfsLcxT/FllNiuElynKJw0OVQazd47i+wpvQOEE4R+HYavPcP2OcMqLt7bDWOUyKICNcf1ZZK5fK44PHprNuwMbakEsFNkuMUhTLlbbXbim9gwjWx1ThJYeNGeOEiqLSD1a85TimmdpVyXHdka2YuWMEdE+fGllMiuElynKLSaF9b2v3eA/DF5NhqnCQw43H45h3o9leoUD22GscpcXq2rsdRHXbirlfnMm3+8thyih03SY6zLXS9Amo2gefOhTUrY6txYvLLCphwNTTYG9qdEFuN42SMoX13p26Vcgx+fBqr126ILadYcZPkONtC2YqWdlv+ta1mcrZfJo2AVUug902Q40Ors/1QtXwZRh7bji++X8WIFz+JLadY8W+y42wrO+8P+54J79wP896IrcaJweLZ8Pa9sOepUH+P2GocJ+Ps33QHTjugMf+aMo/XP1sSW06x4SbJcYqDQ66GGo1hzDmw9ufYapxMomrF2uWq2HXgONspl/Rswa61K3HREzNY8fO62HKKBTdJjlMclK0Efe+EZV/CxGGx1TiZZNYzMO91OOQqqFgzthrHiUb5MrmM6t+e71eu4ZrnPootp1hwk+Q4xcUunWHvQTD1Hvh6amw1TiZYuwpeuhJ2bAN7nhZbjeNEp22D6px78G48O+1bxs5YGFvONuMmyXGKk25DoXpDGHM2rCv9mz9u97x+M/y4AHqPhJzc2GocJxGc1XVX2jWoxhXPzmTxj7/ElrNNuElynOKkXGXoewcsnQuvXhtbjVOSLP0cptxhy/0b7RdbjeMkhjK5OdzSvz2r127gkqdmoJq9m+C6SXKc4qbJQZZ6eesumP9ubDVOSaAK4y6B3HLWONJxnN+wa+3KXNarBa9+uoT/vDM/tpwi4ybJcUqCQ/8GVerDmLNgXXaHm50CmPMizJ0AXS+DKnVjq3GcRHJyx8Z0aroDw8d+zFdLV8WWUyTcJDlOSVC+KvS9Hb6fA5Ouj63GKU7W/WJRpNotbBNbx3EKJCdHuPGYtuTmCENGT2fDxuxLu7lJcpySoukhsMdJMOV2WPB+bDVOcTHldlj+FfS6EXLLxFbjOImmfvUKDOvXmve+Wsb9r30RW85W4ybJcUqSHtdClXrw7Fmwfk1sNc62suwrW9G2+5HQ5MDYahwnK+jXvj692+zILRM+5eNvf4wtZ6twk+Q4JUn5anD4bbDkE5h8Y2w1zrby0hUgOdB9eGwljpM1iAjDj2hD9YplGTx6GmvWZ88muG6SHKek2e1QaD8A3hgF306LrcYpKnNfgdnPQ+chUK1BbDWOk1XUrFSWEUe34ZPvfuKWCXNiyyk0bpIcJxP0uBYq1Q5pt7Wx1Thby/q1Vqxdswnsf25sNY6TlRzcoi4n7NOI+1/7gnfn/RBbTqFwk+Q4maBCDTj8Vlg8y2panOzi7Xth6WfQcwTklYutxnGylisPa0nDGhUZPHoaK9esjy1ni7hJcpxM0bwXtO0Pr4+EhTNiq3EKy48LYfIIaNYLmnWPrcZxsppK5fK45bh2fLNsNdeO/Ti2nC3iJslxMknPG6BCTWsyuWFdbDVOYZhwtX1WPa+LrcRxSgV7Na7JmV125T/vzOeV2Ytiy9ksbpIcJ5NUrAl9RsF3M62Q20k2896EmaPhgPOsHslxnGLhgkN3o8WOVbjkqZn8sCq5dZpukhwn07TsA62PtpYAi2bFVuNsig3rYdzFUK0hdLogthrHKVWUy8tlVP/2/Lh6HVc8MzOxm+C6SXKcGPS6yXooPXuW3Yyd5PHeP2DRR9DjOihbMbYaxyl1tKxXlcHdmzHuo+94dtqC2HIKxE2S48SgUi047GZYOA2m3BZbjZOflUvg1eHQpCu0PDy2GscptQzq3IS9G9fg6jGz+Hb56thyfoebJMeJxe5HQKsjYNINsPiT2GqcdF75K6xdZfuzicRW4zilltwc4eZj27Nho3LRk9PZmLBNcN0kOU5Meo+EclXCajdPuyWCb96HDx+G/c6C2s1iq3GcUk+jWhW5qk8r3py7lAffmhdbzm9wk+Q4Malc26IVC96HqXfFVuNs3AgvDIHKO8KBF8dW4zjbDcfv3ZCDW9ThhnGfMHfxythy/oebJMeJTeujoUUfmHgtLMmePY1KJR8+DN9+CN2HWYTPcZyMICLccHQbKpbNZfDoaazbsDG2JMBNkuPERwQOu8VWUI05GzZmzw7ZpYm8dSutFqlRR2hzbGw5jrPdUadKea47sg0zvlnBXa/OjS0HKKRJEpGeIvKpiMwVkUtLWpTjbHdUqWtpt2/egan3xFazXdJ43qOwehn0vsmLtR0nEr3a1OPIPXbijolzmT5/eWw5WzZJIpIL3AX0AloBJ4hIq5IW5jjbHW2Otf3BJg6jws/fxlazffHdTHZaMA72Hgg7tomtxnG2a4b23Z06VcpxwehprN0Qd7VbXiHesw8wV1W/ABCRx4B+QPJ3pnOcbELEtiy5e19azr4Zqv8QW1GRaDD/c5jyUWwZW8fMJ1hXpjJlu14eW4njbPdUq1CGkce2Y8Df3+aJOXl0PySeFtlSK3AROQboqaoDw+OTgH1V9Zx87zsDOAOgbt26ez722GMloziwcuVKKleuXKL/R0ngujNLNuqus+g1WnxyKznqtUmZYqPkMr3xmazYuUdsKVtNNl7j4LozTTbqfmT2Gt5asI4bulSictmSTYF37dr1fVXdK//zhYkkFQpVvR+4H2CvvfbSgw46qLj+6QKZNGkSJf1/lASuO7Nkp+6DeO2VfelyQMfYQorE62+8QedOnWLL2CpycvJYMeWdLLxWsvUad92ZJht177v/BsZPnEyf7l2jaSiMSVoANEx73CA85zhOCbExtxyUrxpbRpHYkFcxa7U7jpMcKpTNpXr5uIvwC/O/vwvsJiK7iEhZ4HjguZKV5TiO4ziOE5ctRpJUdb2InAOMB3KBf6jqrBJX5jiO4ziOE5FC1SSp6gvACyWsxXEcx3EcJzF4x23HcRzHcZwCcJPkOI7jOI5TAG6SHMdxHMdxCsBNkuM4juM4TgG4SXIcx3EcxykAN0mO4ziO4zgF4CbJcRzHcRynANwkOY7jOI7jFICbJMdxHMdxnAJwk+Q4juM4jlMAbpIcx3Ecx3EKwE2S4ziO4zhOAbhJchzHcRzHKQA3SY7jOI7jOAXgJslxHMdxHKcA3CQ5juM4juMUgJskx3Ecx3GcAnCT5DiO4ziOUwBukhzHcRzHcQpAVLX4/1GRJcBXxf4P/5YdgO9L+P8oCVx3ZnHdmSdbtbvuzOK6M4vr3jw7q2rt/E+WiEnKBCLynqruFVvH1uK6M4vrzjzZqt11ZxbXnVlcd9HwdJvjOI7jOE4BuElyHMdxHMcpgGw2SffHFlBEXHdmcd2ZJ1u1u+7M4rozi+suAllbk+Q4juM4jlOSZHMkyXEcx3Ecp8Rwk+Q4juM4jlMAbpIcx3EcpxgREYmtwSkeSr1JEpEKsTUUFf+iFR8i0kRE+sXWsS2ISJnYGopKNl3LIpIbW0NxkX7es+kz2BqSdlwiIhqKfUWkVWw920LSzm1hKU7dpdokiUhT4Mzwe9YNfKqqItJFRI6KrSU/YmTTOd0ZeEhEjo4tpCiIyB7AZbF1FIbUACUi+4lIPxHZT7NkhYiINAcuFZGcbL1BAIhIRREpF8aQ3cDGk9i6ioO066utiOQl7bjSDNJA4EoRqRpZUpHIZ/YGiEjv2JoKQ3HrLtUmCdgdOCqctA2xxRSRHYDeIlJWRJL0eeWkzqmIHCkih4hIu9ii8iMijUSko6q+ChwHjBSRY2PrKgIrgBNE5ODYQrZEuDF3B/4J1AamiMiRkWVtljRDtBvQRFU3huPIVqPUCbg1TLCeFJHGWXwsvyF8LgcC9wK7xtZTEEFfd+BKVf0xYWN3oUgzGt2AQcCbcRUVjuLWnXUfXGEQkcoAqjoG+AK4Kq6ibWIuUBeopaobYw90IYLUGvgoPD4MGAWcCJwvIsfE1FcAewJrRaSqqo4HzgBuFJHjIusqFCKSJyK5qvoFdp6bh+cTGcUL10dNLIJ7JPAxMBOYkv6eSPI2R8Xw50vAriJyIWRv9EVVXwJ2Af4DXKKq8ygl432I9v0ZuE1VP03CdyEtupUjIuWB/kALYN/w/d0YVWAREZHOwHnAdFVdEVtPYSlO3aXiSwO/uUhbAOeJSCo18Wg8VUVDRDqKyEgRqaSqM4C3gBFJCC2r8REwU0TmAF2BvYBzgZeBfklKaanqM8AC4BkROVxVJ2BGaUTSI0oi0ga7yf0ppI4/BE4TkRpJjYyG6+MHYCpwMnALcJSqLhKRU0WkVexrGEBEGopIn2DqdiUYZ1VdC1wKVAkpqyQauk2SNg5WA0YD/wXOTvI1UwQ6ADsB3UWkuqpuiPk5pad3sAntWmw8HINN0tpHkrbVFHAeZwNzgEYi0iGCpEJRkrpLhUlKXaQh93g/8A7QVURuBroAg5J0494cIZ1yENASuFlEbsdm4suBquE9UQaEcEPJAVDV4wgDMFBNVVcCE4HxwEmSkCJpEekB7I1pPUdEegajNAi4W0SOjyowH+mfrarOBB4BKgDPYamrysDJ4bNIxA087cZcR0RSEZnKwEnAiar6eUjFXgTUjCQzP+2BYUBfoBrwKjBERIYCf8TGjeZJMHSFJW0c7AtcB4xX1aOxsePJ8J79RWRQRJlbTdr11VhE6qjqf4BrgDXAMSJSJWZqNC298xcsxfxvLHtxLVAmaNwvhratId3sichJIjIAOEhVhwBfAceK1UYmihLXraql4geLZowB9g2Pc4A+wJ+AecB9QCVCl/Ek/mCplKeBpuFxS+As4G1gFTA0ojZJ+/1YoGP4/UEspVIuPN4JCzXXT8D57IANWvuFx4OAV4Ae4XEPoGtsnfnPcdB1Wfjsy4fnDgFOA94FnouttQDtfYBPgb8DF4bnHgceDp/Bh0Df2DrzaT4CM/ZHh8f1sVqe24DvsJtd1dg6t/KYugLTgb3yPX8XNoGZA/SLrbMIx9U7HNd9WGS9IjAAi1SeDVSJrO+4MLZUT53r8HxNbOI+LDVGJv0HOAd4HaupWg0cCtQBbgXuBNrG1phJ3dEPrJhOTiVgJLAEqFnA6wdhM8XdYmvdhP4coBHwDfAvrCg6/fVG4Sb0BNCAiEYvDEgzgGZpz/0zDGCpG3pu5POZi0UHlgETw3MpA/JHLBXUO+39iTHO4XP+ADgcmIQZ/0ppr1fEChFPia01TVNz4B6gF7B/uE6vCK/tj0Vr9kzSuSaY+HDznRxucukTgR7YBGDH2Fq38riGYlGW2sDpwGPAjeG1jkDLJH0OhTym3cM13wiboH2RNtYMCNdew8ga+4Tzex5mRsuE55uE+1Pd2OexkMdRA0vxlwMGYxH4smmvXQ/Uia0zk7qzNt2WLy2xCitqfR1b0VE5vKdMeH0SsAibZSUOtZU0XwMjgM5YHvt/xbnhtRcwM1VNwyefCdLPs4jsCBwP9FHVOSJSLug7DYsmTQ5vjVKkmNKqqhvUivV6AvuIyKDUOVPVBzBTtzT19zJ5PvMjtvrugPB7dexm3R8oi5m9n4ExqTSWqv6MDcKJSFuJSF0sGlNBVcdhka5rgLYiMkpVp6jqc6r6PiSjEFpE6gHDReQMVX0B+96dBRyZdp7HY5Gl7vGUFh4RaRZ+fRWLqk/AjNJYoLKINFDVt1R1NiTjc9gKlgP/AA4ELgS6qeovIrK/qj6CRdjnZ0KIpJHvpTys6L+XqvZQ1XUi8kcsIrxeVRdlQt/WIr9fdbceWAfcDBwAHKeqa0XkHCwqc7mqLs6wzN+RUd2xHWARXWMqKtATc+5DwuP6WKjzfkL4FTMWNbEbS/PY2gs4hj2xG+OO4fHZwCdA+3zva4UZkSaZ1hh+PwpoCDyELZMuk/Za4/Bn9Fk3ZoRvxGaYNYA2WETp9Nja8p9brMZsYfi8Dw3P1w+f9Qfh9/rAfCyqlIPd+O4DWifgGFLRmOOBz4HO4XFOOO9PAq1i69yE9tPDeTw1PO6NGbxjMYNaA3g/SWPGJo4jJ+idCtyARRrrAA3C6x2AWaRFfpP+Q4hEp/1ZH6vL/IRfIzT7A68BO2dY225pv/8Jy2AMwVq1nBfG6PbABVjEfffY57OQx9U2jC0StG8EaoTX/oClyxvF1hlDd/SD3IaTcxiW4jkQC78+GJ7fEXiAfGkrQng2ST9YiHYWFgV7EzgmPP8nLPXWId/7o5gQLLIxBUurPBkuxpzw2gmYcaoY8TymjOQBmLkYiqVKHsBC9e2ADcDA2J95Adqvx2b9L2CrwMBq0e4Nv3fB6hn2Sfs70a9loB4WkTsjPD4Ja1fRKTzOIS1NGFHnTsDz4fddgIvTXhuARShOCY/7EOrXwuPo+gtxfKlawAaYabguPM4DDgY+wyK/0bUW4ljq86sJ6oulbe/EouvtsMnOKZgZmUEGa9zCTbgcVqv2N2xyOxVrRXAT8B7WsPZcbJL+MCG1mcQfbDJ5Zfj9rHCdPIKl93cGrsaM6T3Y5CH6pCyW7ugHXYSTlIMVxz0dbiZ9w+Awg1DQGgbGRDt4rIfGK0Frb8wUPYqFCcGK0A5MHXNEnXtiBu4P4XGr8Pif4QbzIQko5Avn821+NZqNgYHAyPC4C9A9ts6gJT0K1yN8ofuGa/oooEq4Nu4GvufXKFO062ATx3F6uCGcGh6fGG4iXWJry6dzChaJ64LV6AxJe+3yMNCenvZcVtTrhPFvCCGaghnXt7FC1fJYLWan2Dq34ngexSYLrbC04UlYG4mlWBFuB2A4Fik+JMZnFcaVucA0bAVV6vkhwL/THketyyzEcTTFipvvwRYqNMQikIOBN7A6qgPC+L9zbL0xdUc/6CKcpJrhz3pYlOCDMCDUwEJtj8fWWIhjyMGWhrbCiv3ex/prXI1FxQakvTfTg4Dke7xvuLGMB3YNz9XHbu79gV0incPmWJqnYXjcMtwMJ6a9Z/dwc6yf9lzUGyBm5h4irKrDZqiPYku2j8BqSPbHCs87ElZrRta8NdGYU9JvHpF1p0eSn8Nmlp2wCONF4fn2hBtzbL1beWwSjuXvwPn8apRah3HwsqTfqDdxXE9jBuSatOf2xVblxRprUpHqVPqvAWFSm/aeplj0qEym9RXhukkdRxNsifw74XEeVgd5D3BEbK1J0Z1Vhduh4PJDETlUVRdiJ256eLkFNsO4L5a+whD6NVwKVFfVj7Ev13tqhX2vYbPaD1Lv13AVZEhber+J9iJSHzNwF2Pn+WwRaayq36rqeFV9XFW/zJS+dJ1YQ8iHsSaANwFfY+HXj0Tk/8J71mNRx/Kpv5vJ87kJ6mARl5GhX83p2A3tRywK8G/MMHVVK7R9O5rSgKouAGqJyCRs5tZBRIaE1x7BZtZXicjpqvqgqk5KQg8ntQ71qb5efbH6r1FYFPRgERmDTQBuCd/FRJPWL6gNtiXHu5hB3RUrOq8G/IKt8nlDs6R5ZL5FOEdh3fz7iUilMCa9jUWWqsXQljZmtBWRNqr6DRbVOkREbhLrsL0PZrirZFpjYUkdi1rzzUpqXfwPBJqKyJWquj5cM7nYZCgRRNcd2yEWwVGehs0qumGhtf9gIf9FpM3OY+vcjP52WA3KhVj0qxlWkHgfVp/ULQEaz8Xy7TeH81sWc+/XB50NEqDxUCy82hTLR4/ETPLBwPNY+vW/STifBWjvhPW9OgxrOPcWZvL2xmZFfyBfn5uIWrM+GlPAMUzCFnP0J2GpwUIcSzcsDfsJcDs2AegYfn8Ji0QfHN6b2HGwgOPqiKWaq4bHTwLPYKmTA4BvCW0kIum7KIw3kzGD2hUr1p4fzvn1Sb3+CziWQVi916nhcWOs3usJLMX5Pgmsp4qlO/qBF/LktCStQj3cRL7AVtDUCIP2AbF1buEYmhH6NGAV+c8AlwT97bFl0wdH0lYj7fdjsZqjqsF4fInN4sphKa6hJKTnB/AscFX4/RRsqfB7WKTgI+DutPcm6oaBpStnY2nXfbBUa6rOIi+2vnxaN2WUxmEG9RMSaEY3cwzjCOnD/K8l+Qers1iA1RoNwIzR/2FGqVL4TKKnZ4twXJ3CNfQiNglLmbwHgcXYqr2MXl/8dmVvMyyVn4eVeRwdzns9LPX2PmGFbxJ/8l37h2AZi1PC9+DSMLY3xGp9XiIBjYCTpDuVa00koU+QYtXra7AbyXxVVRG5ETgVK9R9LZ7KLSMiO2NOtxa2+mRJ2KZhNHbTGa6RNg8U2639OqyPxEti+9wsxAqJj8aaGr6I3cwPxjJW62JoTZG2/cLemM4nsWtkFGbqumEpoIOABap62ab+rZiIbQ48EltRtUJEysQ+t5tCRHI0bNIpIs9hJvooLKK3MOnfQfjdMTyD1a/dEVlWoRHbsugoVT0n9IBrhhWvfoI178ymDUhT3+GK2AKLd1X1LRG5AItaP6uqr4jII8A9qvpGBrVVVttmKdW7rAI2BnZU1Z9Dv7ibgZdU9UGxDWwTmdrMV0KxJ5aOWq+qz4pIR2wj6tnAHdh3urKqzo0mOJAk3Xkl8Y9uK2knqKKq/iQip2JLQS/HbuhfY6HPBlgeMrEEE3IyFhLsBJwvIneo6nQReRjrUlwdiDXANceKPS8UkXKq+nyo4+iAGbo1IvIGNovdUa2xZVRSXx6seG8fLHV5vlqjSETkDbVGYu9iq8MSiaqOFZENwBwRaaGqy2Jr2hQa6nvUGp/2FZFxWNuNw+G3BiSppB8Dtr9j1diaCoOINMYmi18Dh4vIWLXGnbNEZCYW0RgYmncm+jNIEQzSEVht4U5Yi463sOjRScAJwXwMgN/VBpUYwXwOFJF5WDqtl6oeLSJvAZeKyM2q+p2IzAV2CvVUiYw05DMaf8KCDB8Du4rIxGBK12M1keuAUar6XTzFRtJ0JzaSJLZZ7WVYN9/nsRUP92CmaD6WFjohmI2MfIG2FhFpgYXEz1PV2SJyENYAsx5WwzEISxe9FVHjDsAV2DnthK0OfFxE7sdC++uwyEx/VV0SS+emCNGk27EZ9sJg8DSJ18OmCBGlVWqd4RNNtkdjAMQ6xV+DLdlObMF2uJarYbV2X2O1l534ddHCXGy5/xgsZX5xHKVbj4i0xqJgw7CI2C3YyqSXRaQmVnv6oqrOyqCmVHRrNyxtvxyrDVwiIp2Bftj5fxb7DHqo6meZ0ldURKQLpveiMEbehpV8HKWqy0KkZqGqfhtVaD6SojuRq9tCymcgNiiUxSIxB2JNFidiS1wvUtXpkIgVS78jhGnPxPYbqgX/2x4ltRroNODWGAZJRNqKSNvw8AdgLdaO4B5ggIh0xSJ2ZbBC8wuSaJAC07CC985pkY7EXQ+bQ1XHakJWhG0JTVsxRhZFY9JR1TXA1Uk1SKnrIFzLy7DFE/WwWszPMEMxCJvcnIF9B1qISMVsuIZEpCHWtuAXVZ2kqvdjx/GYiPRW1R+A22IYpPDwZ6w4fgM2qQWr07wS29HhByzClEiDlLoGRCQn7T7ULPyANQP+EJgoItVV9f0kGKSk6k5cJCl8gV4F/qWqw8WWoR+FnahXVHVM2nuTGkFKzUgaY8XZi4HR6V/6VN4708cgIrWwjYAXYBfdV9iFdxtWH1UDKwq9N6SDEptvTxGiSWVUdUpsLdsL2RKNyVbCJGaQqp4bHh+ImaT5WHphlYjkYQ0y7waOVdWZ0QRvgXwplDysU39/rAxhtKquFpFTsJVjDYFlMcYdETkDqKWq14tISyyLMUpV7xKRw4EP1VoAJJJ857maWq1jVaz4/TvgSVX9WKze91qs3uuriJKBZOtOnEkCEJGbsQGhi6p+JraJ5olY8dbwJORN0xGR2lgl/qLwRToB6+F0E1Z5PxBbqvisqn4U/k40gydWAPoy1r12HbZ6cAEwXVX/LSKnYTOogcDKJBpRJz4ikqeq62PrKA2ISHNgD+BNVZ0fUvVXYTV156fV8NyJTWjuxmphBgCTVXVOHOVbJm3S2AMba0RVR4Vxph2W2npSbdPa+rGiGkHPYGy7ky/Dc3thkbxJ2Jh4cFIjSOmIyF+wNgXrsNVgY7HswDxgTFINdRJ1R023SSD83lxsxReqOgQbBB4VkeZqjRYfAW5KoEESrGbgarHd3K8EHscaAz6BFWXfgXWpPkZEKkHcFKGqTsRWJZ2CnefJWAF0TxEpi60WG6iqP7lBcjaFG6TiIYwh+ZujLsBWa67DjBHYnlQzgHGqukpVfwYeSLJBgv8VaXfHogJTsbHySqzT/EdYKcXx4Twsgt82mCwpRKSBiNQSW30M1tn7alX9UkTKhij6e9hYOQHbJiobDNJJWP3UQKyU4ihVXYyZjdbAYWGcTxRBd18SpjsRkST5dSn069hs6ghVXSAil2DL/I9Q1U8jStwsYoWGd2O9Sj5W1UvC8/2x49oTW9a6XFU/iSY0H2LF8SOwpa0rRWQXjdBB23G2d0TkUCx9eSq2vPwzrPZyPHAMtsVOXSyqNC6ppQYFEQzPXVgPpLrAX4HjVfWrUN92GjA1wzVI/bBeO4uwCewTWC1SBeAuVV0d3tcLG9Ojp6QKSzAbH2ALbnphbVw2Yg1Uc7H7/sJ4Co3817CIDMDq6xKlO0oLABHZCat5OVxEmmJpqR7YsvMBwOMicqKqjhBbkrkDkFiTpKo/iC1VvAXYK9QiLVBbJdYNa3I1NarIAlDVF8KE7V0ROSAtxJw1A7DjlAZUdYKInI2t2O0X6nNuw1ZT3Qv8hLVcmBXen9jvp9g2HTup6uchSrMCq8v8IxYRODUYpJOBHzW07sigvq7YPecE4HPMuP0TK42YAXQUkVlAZ6xu85hM6isq4Xy+jBmKycBrqtozvHYGtnXXxUmIAOerQdoHM0c1sXrkN5KkO1okSUTexLZm6IeZoN2Bv2Gh138Ce2G7nycyspGWZ++ErfBZhq32eRibnbyMDQ6jgcNU9cNoYrdAmFVdg51zTfIA7DiljbSxpKDmqN9i29U8n+QxJB2xpdkd+XUj7C7Y5s1/B3qq6uTwnoeAszXDrS9E5ApghareKSLlQy3UTljtUVNs/8TWWGbgXFWdkUl9RUVEbgXKqupZIvIQ1kfwROBIbGV4f03YIgsROQ+LHA1S6z/1MNY3KzG6M16TJL9uOHkAFkp7UVXnA7sB40OY80nMQFXLtL7CEga1PthsryHWpv4wbJPVWlia7Xjg9KQPbmorBrtoFi6fd5xsJ+07l2qOOhW4Q1UfUGsaOTLpY0g+ZmEF2ecBz4T6qUewidhtIvIPLPV2WSYNUlqdUwNsYg6wJtQeLcDqwqZjDS3PAI7OFoMU+D9ARaSGqp6MFTsP49c+d0kzSAdjjUNPT9Uaq+pJWHRvOAnRHSWSJL9tSPcilva7E+iOrebohjVgfDfj4jaDiDQDdlHV8SJSGZvtDcL0no19oN+E4uy/Azdm2eDmOE5EpIDmqJolXbTzpVA6YdGjNVgq5Sm1Hlv7AEuxiMfsGKl9ETkEq0e6VFXfDxP3XGBHLHp3mqr+lElNRUVsN4o8LAq2Gtt4erWqnpX2nrKqujaOwk0jIsdj/aZOCZ9BTnpKTWwHiDXxFBpRVrdpWkO6kHv8CRsYXsOiRzcl1CA9izV1A2s0tgwrtDwT+2J9I7ZMtzYwwA2S4zhbyTTyNUeNrKfQhOh6VxE5EavDvBDrydYJ6Ca251Y7Vf1cVWen/k4EqVOx5pD9RWSvEEFfh6UIa5HQ7bqgwFV/87GMxXDgHKyFwU4iskfqDUkwSOm6Q80a2J6DIiLtwmewXkROFJE/h/dH1w2RV7fliyg9BVRQ1d75X4uNiLTCokZDVXVMMHiVgD9jvUy6qOqHYi0A7gNOVNVp0QQ7jpO1SJY1R02rqeqI1WDeg6VR/gsMBU7H0m/9gFNU9YVYWlOEGqSB2Kbdb2E35GMIW13F1LYp8kXqDgfWA0tU9T2xfk7DwnMdgGGqem88tQUjImcCu2LmeSJ2nawEfgzPDcFWs0ffZDdF9BYA8vu9oF5V1dujispHCB2/pqo54fF4bFfoB7BNd3tiS0iPBy5X1edjaXUcx8k0wdidgo2To8U6sk/CxvPLRaQeUD0VQUoCIlIBW6zSAyvzGKfJbjWTMqNnYWUeL2C7UTylqleG9xyJlX/co6FxcVIIqcE/hp/3sJq1Cdgqws5YA+a7Eqc7tkmCX42SiFyG5SWvja0pP2L9Mu7CisreVNWhaa8dj61kW662Q7EvoXccZ7shtC8YghU936KqP4VozQPYlilZUeOTRESkEbBUbSuaOli07s+hpqsG8C5mLkaF9yfu/iMiFbFI17+wXognAn1UdW2a+Utk7VQicq/BIJUDqmDLLxOHWgO3QVgEqTtYblVVf1HVx/K9N1EXqOM4TnGSdmNrAnyntrfZQqwE4TUReQfb3LsOtlG2UwTEtuQaAswXkXtVdbGIfE+o11HVZSJyAbB/6u8k4f4jIrth9V0VgWlqvQS/wlaDr1XV1D30cqy7/INJNEiQEJMEtjO3iFytCWh0tSlU9ZXQU2iOiHRU1e/F969yHGc7IxikXlh0YJyIdMBqjhoC1wNfY+bob6r6QzylWc8SLFLUAThNRO4E5gKPhXvQeqAx0FASshm52A4aw7CWFpWBliLSE5iNNYu+SWx7kb7AcViZSmJJRLot2xDbqPEhoIWqLoutx3Ecp6QRkfpAOaz/TjNs2fkxWF3MscAhatsbnYw1ARypqk9HkpvVhEhMjqp+GlZ69cG26pimqveLyD1YMfwMbM+5AbH7CQEEMzQUuERVJ4fnrsHq1Q7Ftujqha0SL4u1+knkZrsp3CQVkeCWV2mGu8U6juNkGhFpATyF3QDHYTe5PsDHWNTgBLVtSPZX1SmhRukPwIXYvmx+oykkIlILiyB9j+1ztwG4HzufTYGFqnqfiOwLlAe+1gTsTCG2h+n3QF9V/W+qHCW89jcsatQW01weWJ8NUUY3SdtIEovkHMdxiguxvSj/C4zSsM+aiFTHViiVAXYPEaQuwCVYz7jFIvJnYKyqfh1HefYi1o36ZWwFWBugBrZUfi3WLXwC8E9NQLPFdELw4AbgIFVdmt4QUkQmA4NV9f2oIreSxNQkZStukBzHKeV0BV5R1QdCj7j2WB3MI9j+Wv1EZB1wGdZLbjGAqt4TR272o6oTQ1nH7VharS7W0+l4bOua5li6M1EmSVXHishG4J3QqHOZiJQJzTqXkzC9hcEjSY7jOM4mEZEDgeuwDcj7AxWwG/d4rJv2Iqwod2JYBSzgE8jiIERmRgH7hRViNbDoXUVVnRdV3GYIRf13AimjdDK2ddfhKROdLXgkyXEcx9kc72LNckdgK6tuAz7CokkbgKtV9Wfw8oPiJi0yMzWsZlsaW1NhCGb5HKwdxN1YZ+0/ZptBAjdJjuM4zmYIBuhWEXkovdBWRNph+51VF5HVGogmtJQSDEdZ4GUR2VMTsl3Xlgi6c4GngT1UdVZsTUXB022O4zhOoRGRMthy7uuxbZjGRpa0XSAilVV1ZWwdW4uIVExFGrMRN0mO4zhOoQgGaR9safpt6vtUOqUcN0mO4zhOoQlGqZaqfuc1SE5px02S4ziO4zhOAeTEFuA4juM4jpNE3CQ5juM4juMUgJskx3Ecx3GcAnCT5DiO4ziOUwBukhzHcRzHcQrATZLjOI7jOE4B/D8VGv/tlVO4RwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dfp1 = df2.drop(columns=['month'])[['P1']]*0.4\n",
    "dfp2 = df2.drop(columns=['month'])[['P2']]*0.8\n",
    "\n",
    "df_add = dfp1.add(dfp2, fill_value=0)\n",
    "df_add['S'] = df_add.apply(lambda x: x['P1']+x['P2'], axis=1)\n",
    "\n",
    "plt.figure(figsize=(10,10))\n",
    "plt.plot(df_add)\n",
    "\n",
    "plt.xticks(np.arange(0,12),\\\n",
    "           ['January','February','March','April','May','June','July','August','September','October','November','December'])\n",
    "plt.grid(True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.legend(['Shop1 P1','Shop1 P2','Shop1 Total'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "detected-semester",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_add = dfp1.add(dfp2, fill_value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "opened-holly",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_add['S'] = df_add.apply(lambda x: x['P1']+x['P2'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "excessive-darwin",
   "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>P1</th>\n",
       "      <th>P2</th>\n",
       "      <th>S</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.725926</td>\n",
       "      <td>4.948148</td>\n",
       "      <td>5.674074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.366667</td>\n",
       "      <td>3.066667</td>\n",
       "      <td>4.433333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.815385</td>\n",
       "      <td>1.323077</td>\n",
       "      <td>3.138462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.846154</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>3.646154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.969231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.969231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.784615</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.784615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.874074</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.874074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2.846154</td>\n",
       "      <td>0.892308</td>\n",
       "      <td>3.738462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2.123077</td>\n",
       "      <td>1.538462</td>\n",
       "      <td>3.661538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1.644444</td>\n",
       "      <td>2.962963</td>\n",
       "      <td>4.607407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.768000</td>\n",
       "      <td>3.872000</td>\n",
       "      <td>4.640000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.977778</td>\n",
       "      <td>4.977778</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          P1        P2         S\n",
       "0   0.725926  4.948148  5.674074\n",
       "1   1.366667  3.066667  4.433333\n",
       "2   1.815385  1.323077  3.138462\n",
       "3   2.846154  0.800000  3.646154\n",
       "4   2.969231  0.000000  2.969231\n",
       "5   2.784615  0.000000  2.784615\n",
       "6   2.874074  0.000000  2.874074\n",
       "7   2.846154  0.892308  3.738462\n",
       "8   2.123077  1.538462  3.661538\n",
       "9   1.644444  2.962963  4.607407\n",
       "10  0.768000  3.872000  4.640000\n",
       "11  0.000000  4.977778  4.977778"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_add"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "anticipated-obligation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MWoS2+OcPMlbDhukQkQRx/W2WtSYcvCT1B3TIXG2T4fpF9yPcN5yZh2baZDwhhBDCURwuOMxty27jhS0v0CKkBQuuWcAdre7Aw+Bx8Q88sBDyD5ufaPt9EbedcOySFNEWfENsdsvN3eDOdYnXseXkFjLPZ9pkTCGEEMKeVRmrmJEygzGLx5BxPoPnuz3PJ4M+ITow+tIfbDLB+rcgNBGaXm39sJfJsUuSwQBx/SBzlfkTbQOjE0bjafCU7QCEEEK4vOTTyYz7cRwfJn/IgOgBLBq5iGubXPvfx/ovJX05nN4PPSebv6fbGftLdLniB0DJGcjdY5Phgr2DGdpoKIszF1NUWWSTMYUQQgh7UlxZzEtbXuLmpTdTXFXMB/0/4PXerxPqE1rzi+g6rHsT6kRDyzHWC1sLjl+S4vqZ39rolhvAhGYTKKsuY2HGQpuNKYQQQtiD1dmrGbFoBHNS5zCh2QQWjlhIr8hel3+hI+vg+A7o/iC42ecB8o5fkvzrQUQbm5zj9rvmIc1JCkti1qFZmHTb3OYTQgghVDpbdpYpa6bw79X/JtAzkG+GfcNjnR7Dz8Pvyi64/k3wrw9JN1g2qAU5fkkC8y23Y1vNO3DbyA3NbuBY0TE2HN9gszGFEEIIW9N1nQXpC7hm4TWsObaGSW0nMffqubQJa3PlFz223TyT1G0SeHhbLKulOU9J0o1weK3Nhuwf0596PvWYeVC2AxBCCOGcjhYe5Y5f7uCZTc+QUDeB+dfM5+7Wd+PhdonH+i9l/TTwqQvtb7VITmtxjpIU2RG8Am26LsnD4MHYxLFsPLGRIwVHbDauEEIIYW1Vpio+3fspoxaN4lDeIZ7p+gyfD/6cRkGNan/x3H2QthS6TAQv/9pfz4qcoyS5eUDj3uZ1Sbpus2HHJIzBw+Ah2wEIIYRwGnvP7GX8j+N5Z9c79I7qzaKRixiTMAaDZqHKsOEt8AyATndZ5npW5BwlCcy33Apz4EyqzYYM9QllSOwQFmUsoriy2GbjCiGEEJZWWlXKa9te48alN3K+/Dzv9H2Ht/q8RZhvmOUGycuE/T9AxzvMt9vsnPOUpN/Pe8lYYdNhJzSbQGl1KYsyF9l0XCGEEMJS1uesZ+SikXx78FvGJoxl4ciF9IvuZ/mBNkwHN0/oep/lr20FzlOS6kRBWFObrksCaBnaktahrZl9aLZsByCEEMKh5JXl8ei6R5m4aiLe7t58NeQrnuzyJAGeAZYfrCAHUmZDu5vN2/c4AOcpSWC+5XZ0E1SW2HTY65tdT1ZhFptPbLbpuEIIIcSV0HWdRRmLGLFoBL8c/YV729zL/OHzaRfeznqDbnwX0KHbv603hoU5WUnqD8ZKyLLt3kWDYwYT6hPKdwe/s+m4QgghxOU6VniMu1fczZMbn6RRYCPmD5/PxKSJeLp5Wm/Q4jOw6ytoPd5858dBOFdJiu4GHr42v+Xm4ebB2ISxbDi+gezCbJuOLYQQQtREtamaL/Z9wajFo9h7di9PdH6Cr4Z+RVydOOsPvuUDqK6AHg9ZfywLcq6S5OENsT1tXpIAxiaMxU1zk+0AhBBC2J1jFceY8NME3tr5Fl0adGHhiIWMbzreco/1X0zZedj2KbQYCaHx1h/PguzzRLnaiB8A6cvNjxmG2KAd/ybMN4yBsQNZmLGQSW0n4evha7OxhRBCuA6jyUhxVTFFlUV//lVV9PffqyyioLKA3ad2E+wTzLTe0xgYMxBN02wXeNsnUFkEPafYbkwLccKS9NtWAJm/2rQkgfk8t6VHlrI4czHjm4636dhCCCEcQ5Wx6k+FprCykOLK4j//+19K0P/+XknVpR9O8vfwJ8AzgADPAPw9/OkV0IsXr3qRIK8gG/wX/o+KYtjyISQMgfqtbDu2BThfSQqJg7qNzLfcbLybZ+vQ1rQIacGsQ7O4LvE62zZ1IYQQVqfrOuXV5f9YaP5WeKoKKaos+tPvlRvLLzqGQTP8UW4CPQMJ8AwgJjDmj+Lz++8FeAbg7+n/53/38Mffwx83g9ufrrlmzRrbFyQwL9Yuy3fIWSRwxpIE5ltuyd+ZF4m5e9lsWE3TmNBsAk9seIItJ7fQtUFXm40thBDCup7d9CwLsxdi/M540de5G9z/W1w8zOUl3Df8b2Xmr4Xn91++7r7O8UN2dQVses+8Vjiqk+o0V8R5S9L2TyB7MzTuY9Ohh8QOYdqOacw8NFNKkhBCOIlNJzbxffr3JPkm0btp778Vnv/9dy83L+coObWVPBOKTsLIGaqTXDHnLEmxPczbnmestHlJ8nTzZEzCGD7Z8wnHio4RFeA4+0EIIYT4O6PJyJs73qShf0NuDr6Zga0Gqo5k/4zVsPFtaNje5t+HLcm5tgD4nZc/RHeFjFVKhh+XMA43zY05h+YoGV8IIYTlLMxYSPq5dB5q/xAemofqOI5h/wI4l2Vei+TAs2rOWZLAfMvt9AEoOG7zocP9wukf058FGQsorSq1+fhCCCEso7SqlPeT3ycpLIlBMYNUx3EMJhOsnwb1mkPCUNVpasW5SxJApprZpAlNJ1BUWcRPR35SMr4QQoja+3zf55wtO8vUjlNlnVFNpf4EZw6ZZ5EMjl0zHDv9xdRrBgENlOy+DdC2XluaBTdj5sGZ6LquJIMQQogrl1uSy1f7v2Jo7FDahLVRHccx6Lp5FqluI2g+UnWaWnPekqRp5o0lM9eYF5DZfHiN65teT8b5DLbnbrf5+EIIIWrnvd3vYdJNPND+AdVRHEfmr3Bit/mMNjfHfzbMeUsSmG+5VRTA8R1Khh/aaCh1vOow89BMJeMLIYS4MgfyDrA4czE3NL+Bhv4NVcdxHOvfMt/FaeMcp044d0lq3Ac0N2W33LzdvRndZDSrj63mRPEJJRmEEEJcHl3XeXPHm9T1qstdrWx7coNDy94CRzdA93/bdCNna3LukuRTByI7KitJgPl4EjRmp85WlkEIIUTNrT62mu2525mYNJEAzwDVcRzHujfBNwTa3aI6icU4d0kC8y23E7uh+IyS4SP8I+gX3Y8F6Qsor774eT1CCCHUqjJVMX3ndBoFNWJMwhjVcRzHyRTIWAFdJoKnr+o0FuMCJam/+e3h1coiXN/0egoqCvj5yM/KMgghhLi0ualzySrMYkr7KbgbHH/hsc2snwZegTY/WN7anL8kRSSZp/8U3nLrEN6BJnWbyHYAQghhxwoqCpiRMoPOEZ3pFdlLdRzHcSYNDiw2FyTvINVpLMr5S5LBAHH9zUeUmExKImiaxg1NbyD1XCqZFZlKMgghhLi4T/Z8QmFFIQ93eFg2jrwcG6aDu7f5VpuTcf6SBOZ1SaVn4WSysgjDGg8j0DOQtUVrlWUQQghxYccKjzHz0ExGxI8gMThRdRzHce4o7JkD7W8Fv1DVaSzORUpSf0BTduAtgI+7D6OajGJP6R5Ol55WlkMIIcTfTd81HXeDO5PaTlIdxbFsehc0A3Rzzs+ba5Qkv1BokKR0XRLA2ISxmDCxIH2B0hxCCCH+a/fp3aw4uoLbWtxGPd96quM4jqJc2PUNJE2AIOfccNM1ShKYb7nlbIOyc8oiRAdG09S7KfPT5lNtsv1RKUIIIf5M13Xe3P4m9XzqcUsL59nfxyY2fwCmKujuvMe2uFZJ0k1wWO2aoB4BPThVeor1OeuV5hBCCAHLspax5+weJrWbhK+H8+zvY3Wl+bDjc2g5GkLiVKexGtcpSQ07gFeQ8ltuLX1aUs+3HnPS5ijNIYQQrq7CWMHbO9+maXBTrom7RnUcx7LtY6gshh6TVSexKtcpSW7uENfHvHhb4V5FbpobY5qMYdPxTRwrOqYshxBCuLpvD3zLiZITTO0wFYPmOt8Oa62iCLbMgMSrILy56jRW5VpfFfEDoOgEnD6oNMaoJqMwaAbmp81XmkMIIVxVXlken+79lD6Rfegc0Vl1HMey4wsoPw89p6hOYnWuVZLifjuiRPEtt3C/cPpE9eGH9B+oNFYqzSKEEK5oRsoMyqrLeKjDQ6qjOJaqctj8PjTuA5HtVaexOtcqSUENoV5z5SUJYFziOM5VnGPF0RWqowghhEs5fP4w89PmMzZhLI2DGquO41h2fwPFp6DnVNVJbMK1ShKYN5bM3gwVxUpjdInoQlRAFHNT5yrNIYQQrmbazmn4uPtwb9K9qqM4FmMVbHwXIjtBbA/VaWzCBUvSADBWQtYGpTEMmoFxCePYdXoX6efSlWYRQghXsfnEZtblrOPu1ncT7B2sOo5j2TsPCrKh11RwkbPtXK8kRXcFD1+7uOU2In4EngZPmU0SQggbMJqMvLnjTRr6N2RCswmq4zgWkxHWvwXhraDJINVpbMb1SpK7FzTqZRclqa53XQbFDmLJ4SWUVpWqjiOEEE5tceZi0s6l8WC7B/Fy81Idx7EcXAJ56dBzssvMIoErliQw33I7dwTyMlUn4brE6yipKuHnIz+rjiKEEE6rtKqUd3e/S+uw1gyOHaw6jmPRdVg/DULiofkI1WlsykVL0u9bAaxSmwNoE9aGhLoJzE2di65wk0shhHBmX+z/grNlZ3m4w8NoLjQTYhEZKyF3D/R4CAxuqtPYlGuWpODG5l92cMtN0zTGJYzjYP5B9p7dqzqOEEI4nVMlp/hy35cMjh1MUr0k1XEci67DujchKApaX6c6jc25ZkkC8y23rPXmjbEUuzruanzdfWUBtxBCWMF7u9/DqBt5sN2DqqM4nqOb4NgW6PZvcPNQncbmXLskVZWa90xSzM/Dj6sbX82yrGUUVBSojiOEEE7jYN5BFmcu5sZmNxIZEKk6juNZ/yb41YN2N6lOooTrlqTYHuDmaRe33MC8A3eFsYJFGYtURxFCCKeg6zpv7niTIK8g7mx9p+o4juf4Lsj8FbreBx4+qtMo4bolydMPYrrZxeJtgMTgRNqEtWFe2jxZwC2EEBawNmct23K3MTFpIoGegarjOJ7108A7CDrcrjqJMq5bkgDiB8KZg1CQozoJYN4OIKswi22521RHEUIIh1ZlqmLajmnEBsYyJmGM6jiO5/RBOPQjdL4HvF23YLp4SRpgfmsnt9wGxQ4iyCuIOalzVEcRQgiHNi91HlmFWUzpMAUPg+stOK61DdPBw89cklyYa5eksEQIjLSbkuTl5sXIuJGszl7NmdIzquMIIYRDKqwsZEbKDDrV70TvyN6q4zie/COwdz50uA18Xft8O9cuSZpm3ljy8Frz6cZ2YGziWKr1ahakL1AdRQghHNInez6hoKKAqR2mysaRV2LjO+ZNI7verzqJcq5dksB8y62iEHK2q04CQExgDF0iujA/fT5Gk1F1HCGEcCg5RTl8d/A7rom7hmYhzVTHcTyFJyD5O2h7IwRGqE6jnJSkxr1Bc7ObW25gXsCdW5LL+uPrVUcRQgiH8vaut3E3uDOp7STVURzT5g/AZITuD6hOYhekJHkHQVRnuypJfaL6UM+nnizgFkKIy5B8OpnlWcu5tcWthPuFq47jeEryYMfn0Gos1I1VncYuSEkC87qkkylQfFp1EgDcDe6MThjNxuMbySmyj+0JhBDCnum6zhs73iDMJ4xbW9yqOo5j2joDqsqg52TVSeyGlCT471YAmb+qzfE/RjUZhUEzMD9tvuooQghh95ZnLWfPmT1MajsJXw9f1XEcT3khbP0Yml1tfvJbAFKSzOq3Br8wu7rlVt+vPr0je/NDxg9UGitVxxFCCLtVYazg7V1vk1g3kWvirlEdxzFt/xQqCqDnFNVJ7IqUJACDAeL6m48osaMnyq5LvI788nxWHrWf8iaEEPbmu4Pfcbz4OFM7TsXN4KY6juOpLDUv2I4fAA3aqk5jV6Qk/S5+AJTlw8lk1Un+0KVBF6ICopibNld1FCGEsEv55fl8sucTekX2oktEF9VxHNPub6D0rMwiXYCUpN/F9QU0uznwFsCgGRibMJadp3aScS5DdRwhhLA7M5JnUFZdxpT28g3+ilRXmjePjO5mPvRd/ImUpN/5hZqnGe1oXRLAyPiReBg8ZDZJCCH+4vD5w8xLm8eYhDE0rtNYdRzHtGcOFB6XWaR/UOOSpGmam6ZpuzVN+9GagZSKH2DeebvsnOokf6jrXZdBsYNYkrmE0qpS1XGEEMJuvLXzLXzcfZiYNFF1FMdkMpoPso1oY94KR/zN5cwkPQActFYQuxA/AHQTHF6jOsmfXJd4HcVVxSw9slR1FCGEsAtbTm5hbc5a7mx1J8Hern0I6xU7sBDyM82zSHLG3QXVqCRpmhYJXAV8at04ijVsb96B285uuSWFJdGkbhPmpM5B13XVcYQQQimjycib29+kgV8Dbmx+o+o4jknXYf1bEJoITYerTmO3ajqT9DbwCGCyXhQ74OYOjfuaF2/bURnRNI1xCeM4mH+QfWf3qY4jhBBKLc5cTOq5VB5s/yBebl6q4zimtOVwap95d22DLE/+J9qlZiY0TbsaGKbr+kRN0/oAU3Vdv/oCr7sbuBsgPDy8/ezZsy2f9n8UFxfj7+9v8evWP7mSpqnvsb3DO5T4x1r8+leau8xUxpM5T9LOtx03hN5g8VyXYq3Pt7VJbttz1OyS27auNHeFqYLnTzxPsFswk+tPRrPxbSKn+HzrOm13P4pn5Tm2dZqBbnBXG+4ibPX57tu3705d1zv87R26rl/0F/AKkANkAblAKfDtxT6mffv2urWtXr3aOhcuOK7rzwTq+oa3rXL52uR+btNzeodvOujny89bLlANWe3zbWWS2/YcNbvktq0rzf3B7g/0ll+21Hef2m3RPDXlFJ/vzDXm73PbPlWWp6Zs9fkGdugX6DOXnGPTdf3/dF2P1HU9FhgP/KrruvPeBA5sAPVa2N26JIBxieMoN5azOHOx6ihCCGFzp0tP8+X+LxkUM4ikekmq4ziu9dPAvz4k2f6uhKORG5EX0mQAHN0MFcWqk/xJ0+CmtA5rzdzUubKAWwjhct7b/R7VpmoebP+g6iiOK2cHHFkL3e4HD2/VaezeZZUkXdfX6BdYj+R04geAqQqy1qtO8jfXJV5HVmEW23O3q44ihBA2cyj/EIsyFnFDsxuICohSHcdxrZ8GPnWh/W2qkzgEmUm6kKgu4OFnl7fcBsUMItAzkDmpc1RHEUIIm9B1nTe3v0mQVxB3tb5LdRzHdWo/pP4Mne8FL8dbfK6ClKQLcfeExr0hfYVdbQUA4O3uzcj4kfya/Stny86qjiOEEFa3LmcdW3O3ck+bewj0DFQdx3Gtnwae/tD5btVJHIaUpH8S3x/OH4W8TNVJ/mZswliq9WoWpC9QHUUIIayqylTFtJ3TiA2MZVziONVxHJZP6QnY/wN0vMN8u03UiJSkfxL32zk2dnjLLTYols4RnZmfNh+jyag6jhBCWM38tPkcKTjC5PaT8TB4qI7jsKKzvwc3T+h6v+ooDkVK0j8JbgQh8XZZksC8gPtkyUk2HN+gOooQQlhFUWURM5Jn0LF+R/pE9VEdx3EV5BB+ag20vQn866lO41CkJF1M/ADI2gBVZaqT/E2fqD6E+YTJAm4hhNP6ZO8nnK84z9QOU22+s7ZT2fA2oEP3B1QncThSki4mfgBUl8HRTaqT/I2HwYPRCaPZcHwDOUU5quMIIYRF5RTl8O2BbxkeN5zmIc1Vx3Fcpw/Cjs85GTEQ6sjWCZdLStLFxHQHNy/zgbd2aHST0Wiaxvfp36uOIoQQFvXOrndw09z4d9t/q47iuHQdlj0GXv5kxcru2ldCStLFePpCbHe7XZdU368+vSN7syB9AVXGKtVxhBDCIlLOpLAsaxm3tLiFcL9w1XEc16Gf4PAa6PsEVbJ1whWRknQp8QPgbCqcz1ad5IKuS7yO/PJ8VmbbZ5ETQojLoes6b2x/g1CfUG5vebvqOI6rqhyWPw5hzaDDHarTOCwpSZcSP8D81k5vuXVt0JVI/0jmps5VHUUIIWpt+dHlpJxJYVLbSfh6+KqO47g2v2/e62/oq+DmrjqNw5KSdCmhCRAUZbe33AyagbGJY9lxageZ5+1v40shhKipSmMlb+98m4S6CYyIG6E6juMqOG7eXbvZcGjcR3UahyYl6VI0zbz79uG1YKfrfkbGj8TD4CGzSUIIhzbz4EyOFx9naoepuBncVMdxXCufAZMRBr2oOonDk5JUE/EDoLIIjm1TneSCgr2DGRgzkCWZSyitKlUdRwghLtu58nN8vOdjejbsSdcGXVXHcVzZW2DvPOj+b6gbqzqNw5OSVBONeoHB3W5vuYF5AXdRVRHLspapjiKEEJdtRsoMSqtLmdJhiuoojstkhKWPQGBD6PGQ6jROQUpSTXgHQVRnuy5Jbeu1Jb5OvOzALYRwOIcLDjM3dS5jEsYQVydOdRzHtftbOJkCA58HTz/VaZyClKSaiu8PuXug6JTqJBekaRrjEsdxIO8A+87uUx1HCGEDWQVZ5FblUmmsVB2lVqbvmI63uzf3trlXdRTHVXYeVj0P0V2h5WjVaZyGPBdYU/EDzF+Amb9C0vWq01zQ8MbDmb5zOnNT59IytKXqOEIIK8o8n8mYJWOoNlXzynevEOEXQUxgDNEB0ea3gdHEBsbSwL8B7gb7/at+28ltrMlZwwPtHiDEJ0R1HMe19nUozYOhC8wPHAmLsN8/OfYmvBX41TPfcrPTkuTv6c9Vja/ix8wfmdJhCkFeQaojCSGsQNd1XtzyIr7uvgwPGE5AZABHC4+SXZjNj2d+pLiq+I/XumvuNAxo+KfyFBMYQ0xgDPV96yt9isxoMvLGjjeI8IvgpuY3Kcvh8M6kwrb/QLubIaKN6jRORUpSTRkM5tmktGXmxXF2+njquIRxzE+bz5LMJdzY/EbVcYQQVrDk8BJ2nNrBM12fIfREKH2S+vzxPl3XyS/PJ7so+4/idLTwKEcLj7Lj1A7Kqsv+eK2HwYOogChzcQqIISYohpgAc5Gq51sPg2bdFRlLDi/hUP4hXuv5Gl5uXlYdy2npOiz7P/Dwg/5Pq07jdKQkXY74/pAyE04kQ2R71WkuqFlIM1qHtmZu2lxuaHYDmky7CuFUCioKmLZjGq3DWjOqySjWnVj3p/drmkaITwghPiG0rdf2T+/TdZ0zZWf+Vp6yi7LZdHwTlab/rm3ydvMmKjCK2MDYv81ChXiH1PrvlgpTBe/teo9Woa0Y2mhora7l0tKWQeYqGPIq+IWqTuN0pCRdjrh+gGa+5WanJQlgXOI4ntz4JDtO7aBj/Y6q4wghLOjdXe9yvuI8/xn4n8ue6dE0jXq+9ajnW+9vfzeYdBOnSk6RVZhlLlBF5iKVfi6d1dmrqdar/3itn4ffBW/fxQTEUMe7To2y/Fr4K6fLTvNmnzflh7krVV1hnkUKawod71SdxilJSbocvsHQsL25JPV5VHWafzQ4djCvb3+dOalzpCQJ4UT2ntnLvLR53NDsBpoGN7XotQ2agQj/CCL8I/62mWO1qZqTxSc5WnT0T7NQ+87u45ejv2DSTX+8NtAz8L/lKSDmjwIVHRhNgGcAAKdLT7OycCUDYwb+bbZLXIbNH8C5I3DTD+DmoTqNU5KSdLniB8C616E031ya7JC3uzcj4kcw6+AszpadJdRHpmCFcHTVpmpe2PICYT5h3N/2fpuO7W5wJyowiqjAKHo07PGn91UZq8gpziG7MPtPs1C7Tu3i58M/o6P/8dpg72CiA6KpMFZg1I081E42PLxihSdh3ZuQeNVvdzmENUhJulzxA2Dtq3B4DbQcpTrNPxqXMI5vDnzDD+k/cFfru1THUaLaVE1BdYHqGEJYxJzUORzMP8ibvd/Ez8N+Ngr0cPOgUVAjGgU1oje9//S+8upycopyzGufiv47A3Wy5CRDgoYQFRilKLUTWPksmKpgsJzPZk1Ski5Xw3bgXcd8y82OS1JsUCydIzozL20et7e83eUOiyytKuWB1Q+w7eQ2ok5F0S68nepIQlyx06WneW/3e3Rr0I1BMYNUx6kxb3dv4uvGE183/m/vW7Nmje0DOYtj22HPbOgxGYIbq07j1GTH7ctlcDNPbWasND96acfGJYzjZMlJNp7YqDqKTRVXFnPvynvZlrsNfzd/pqydwpnSM6pjCXHF3tz+JlXGKp7o/IQscnZ1JpP5fLaACOgp59xZm5SkKxE/AIpPwSn7Pv6jb3RfwnzCXOo8t4KKAu785U72nNnDa71e475691FSVcLUtVOpMlWpjifEZdt0YhNLs5ZyZ6s7iQ6MVh1HqJYyE07sggHPgZe/6jROT0rSlYjvb35rxwfegnmjuFFNRrE+Zz3Hi4+rjmN1eWV53L78dtLOpTG973SGxA6hgWcDnu36LLtO7+KtHW+pjijEZakwVvDy1peJDojm9la3q44jVCsvhJXPQWQnaD1OdRqXICXpSgTUNx9TkrFKdZJLGpMwBk3T+D7te9VRrOpUySluXXYr2YXZvN//ffpE9fnjfcMaD+PGZjfy7cFvWXpkqbqQQlymz/d9ztHCozzR+QnZkVqYn6wuOQPDXpfz2WxEStKViu8P2Zuhokh1kouq71efXpG9+D79e6qMznm76XjxcW5ddiunS08zY8AMujXo9rfXTO4wmXb12vHMpmdIP5euIKUQlye7MJtP93zK4NjBdGv4969p4WLOpsOWGdD2Rmgge0vZipSkKxU/AEzVcGTdpV+r2HWJ15Ffns+qbPuf+bpcWQVZ3LL0FgoqC/h00Kd0qN/hgq/zMHj88ej0Q2seoqjSvsutcG26rvPy1pfxcPPgkY6PqI4j7MGy/wMPX+j/jOokLkVK0pWK6gye/na/LgmgW4NuNPRvyNy0uaqjWFT6uXRuXXYrlcZKPh/8Oa3CWl309WG+YUzrPY3jRcd5YsMTf9olWAh7suLoCjae2Mj9SfdTz7ee6jhCtbTlkLECej8K/mGq07gUKUlXyt0TGvV2iK0ADJqBsQlj2Z67ncPnD6uOYxEH8g5w+/LbMWgGvhzyZY2PaGgX3o4pHaaw+thqPt/3uZVTCnH5SqpKeG37azQNbsr4puNVxxGqVVeaZ5FCmkCnu1WncTlSkmojvj+cz4a8DNVJLunaJtfibnB3itmk5NPJ3Ln8TnzcffhyyJc0rnN5m6nd0OwGhsYO5b3d77H5xGYrpRTiynyQ/AFnSs/wVJencDfIfr8ub+sMyM+EIa+afzgXNiUlqTYcZCsAMJ+ZNDBmIIszFlNWXaY6zhXbdnIbd6+4m7redflqyFdXtG+Mpmk82+1ZGgc15pF1j3Cy+KQVkgpx+VLzU5l5cCajE0bTOqy16jhCtaJTsPYNSBgCTQaoTuOSpCTVRt1Y8xSoA5QkMC/gLqoqYtmRZaqjXJENxzcwcdVEGvg14MshXxLhH3HF1/L18GV6n+lUm6p5aM1DVBgrLJhUiMtn0k28sOUFgryCeLDdg6rjCHuw6jmoLofBL6tO4rKkJNVW/ADI2gBV9j87065eO+LrxDvkDtyrjq5i0q+TaBTUiM+HfE6Yb+0XL8YGxfJSj5fYn7efV7e9aoGUQly5H9J/IOVMCpPbTybIK0h1HKFazk5I/g66ToSQONVpXJaUpNqKH2Bu+kft/3w0TdMYmzCW/Xn72X92v+o4NfbT4Z+YsnYKzYOb8+mgTwn2DrbYtftF9+POVncyP20+P6T/YLHrCnE5zpWfY/qu6bQPb881cdeojiNU+/18Nv9w6PWw6jQuTUpSbcV2B3dvh9h9G2B43HB83H0cZgH3gvQF/N/6/6NtvbZ8POhjq/yEfX/S/XSJ6MKLW15kf57jlEfhPN7a+RYllSU82flJOcBWwJ7ZcHzHb+ezBahO49KkJNWWhw/E9nCYdUkBngEMazSMnw//TGFloeo4F/Xdwe94ZtMzdG3QlQ8HfIifh59VxnEzuPF6r9cJ8Qlh8urJnC8/b5VxhLiQXad2sTBjITe1uIn4uvGq4wjVKopg5bPQsAO0vk51GpcnJckS4gfA2TQ4d1R1khoZlziOcmM5SzKXqI7yjz7b+xmvbnuVvlF9ea/fe/i4+1h1vLredXmrz1ucKTvDY+sfw2gyWnU8IQCqTFW8sOUFIvwiuKf1ParjCHuw7g0oPgVDXweDfItWTf4PWEL8b49mZjrGLbfmIc1pFdqKualz0e1sI0xd1/kg+QPe3vU2Q2OHMq3PNDzdbLM3SMvQljze+XE2ntjIjJQZNhlTuLbvDnxHxvkMHuv0GL4evqrjCNXyMmHzh5B0A0S2V51GICXJMkLioU60w6xLAvNs0uGCw+w4tUN1lD/ous60HdP4KOUjRsaP5JWer+Bh8LBphjEJYxjVZBT/2fMf1hxbY9OxhWvJLcnlw5QP6RPZh37R/VTHEfZg+ePmNa5yPpvdkJJkCZpmnk06vNa8hbwDGBw7mADPAOam2scCbpNu4qWtL/HVga8Ynzie57o9h5vBTUmWxzs/TvOQ5jy+/nGyC7OVZBDO79Vtr6LrOo91fkx1FGEP0ldC2jLo/TAEhKtOI34jJclS4gdAZRHkbFOdpEZ83H0YETeCldkrOVt2VmkWo8nI0xufZk7qHG5rcRuPd34cg6buS9PLzYu3+ryFwWDgwTUPOvQO5cI+rctZx6rsVfyrzb9o6N9QdRyhWnUlLHsMguOg872q04j/ISXJUhr1AoO7wzzlBuZbbtWmahZmLFSWocpUxWPrH2NR5iImtpnIQ+0fsotHoBv6N+T1nq+TcS6D5zc/b3drt4TjKqsu4+WtL9M4qDG3NL9FdRxhD7Z9DHnpMOQVOZ/NzkhJshSvAIju6lAlqVFQIzrX78y81HlKnuaqMFYwec1klmUtY3L7ydybdK9dFKTfdWvYjfvb3s+Ph39k1qFZquMIJ/HJnk84XnycJ7s8iYebbdfcCTtUfBrWvgZNBkHCYNVpxF9ISbKk+P6QuxeKclUnqbGxiWM5UXKCjSdsu2N4WXUZk1ZNYs2xNTze+XFua3mbTcevqTtb3UmfyD68sf0Nkk8nq44jHNzhgsN8sf8LhjceTsf6HVXHEfZg1XPmY60Gv6I6ibgAKUmW9PtWAA70lFu/6H6E+oTadAF3SVUJ9668ly0nt/B8t+e5vun1Nhv7chk0Ay/1fIkI/wimrJmifP2WcFy6rvPSlpfwcfdhSocpquMIe3B8F+z+DrrcA6Gykag9kpJkSeEtzWftONAtNw+DB6OajGJdzjpOFJ+w+ngFFQXc9ctdJJ9O5tWer3Jtk2utPmZtBXoGMr3PdAorC5m6dipVpirVkYQD+unIT2zL3caD7R4kxCdEdRyhmq7D0kfBLwx6PaI6jfgHUpIs6fetADJ/BQfasXlMkzFomsb8tPlWHSe/PJ87f7mTQ/mHmNZnGsMaD7PqeJaUGJzIM92eYeepnby9823VcYSDKaws5I3tb9AypCWjm4xWHUfYgz1zzU9DD3gGvANVpxH/QEqSpcX3h/Lz5mlUBxHhH0Gvhr1YkL6AKqN1ZklOl57mtmW3caTgCO/1e4/+0f2tMo41Xd34aiY0ncDXB75mWdYy1XGEA3l317ucrzjPU12fUrb/l7AjFcWw8hlo0A7aTFCdRlyElCRLa9wXNIND3XID83YAeeV5rDpm+fVUJ4pPcOuyWzlZcpIZA2bQvWF3i49hK1M7TCUpLImnNz5N5vlM1XGEA9h/dj9zU+cyPnE8zUOaq44j7MH6aVB0Us5ncwDyf8fSfIOhYXuHK0ndGnSjoX9D5qXOs+h1swuzuWXZLZwvP88ngz5x+Cd6PNw8mNZnGr7uvjy4+kGKK4tVRxJ2zGgy8vyW5wnxCeH+tverjiPsQf5h2Pw+tB4PUY7996ErkJJkDfED4PhOKM1XnaTG3AxujEkYw7bcbRwuOGyRa2aez+TWZbdSXl3Op4M/pU1YG4tcV7V6vvV4o/cbHCs6xlMbn5KNJsU/mps2lwN5B3ik4yMEeAaojiPswfInweABA55VnUTUgJQka4gfAOjmBdwO5Nr4a3E3uFtkNulg3kFuW3YbOjpfDP7C6W4zdKzfkcntJ7MyeyVf7P9CdRxhh86WneXdXe/SOaIzQ2KHqI4j7EHGKkj9yXw+W2CE6jSiBqQkWUODtuBT16H2SwII8QlhYPRAFmUuqtV5ZXvO7OGOX+7Ay92LL4d8SXxd59z/46bmNzE4djDv7HqHrSe3qo4j7Mwb29+gwljBk52ftKud5IUixipY9n8Q3Bi6TFSdRtSQlCRrMLhBXD/zuiSTSXWayzIucRxFlUUsO3JlT29tz93OXb/cRZBnEF8N+YqYwBgLJ7QfmqbxfLfniQ2M5ZF1j5Bb4jg7rQvr2npyKz8f+ZnbW95ObFCs6jjCHmz7BM6mwuCXwd1LdRpRQ1KSrCV+AJSchlP7VCe5LO3D2xMXFHdFO3BvPL6RiSsnEu4XzpdDvqSBfwMrJLQvvh6+vN337T/Ooas0VqqOJBSrNFby4pYXifSP5M5Wd6qOI+xByVlY8yrE9YcEufXqSKQkWUvcb/sAOdhTbpqmMTZxLPvy9rE/b3+NP+7X7F+Z9OskYgJj+GLwF4T7hVsxpX1pFNSIl7q/xN6ze3lt22uq4wjFvtz/JVmFWTze+XG83b1VxxH2YNXzUFUCQ141bzosHIaUJGsJCIf6rR1uXRLANXHX4OPuU+MF3MuOLGPymskk1k3ks8GfueSRC/1j+nN7y9uZmzaXhRkLVccRihwrOsbHez5mYMxAekb2VB1H2IMTybDra+j0LwhLUJ1GXCYpSdYUPwCObYHyQtVJLkuAZwDDGg3j5yM/U1RZdNHXLsxYyKPrH6VNWBs+GfQJQV5BNkppfya1nUTn+p15ccuLHMw7qDqOsDFd13ll6yu4aW480lHO4hL893w23xDoLV8TjkhKkjXFDwBTNRxZpzrJZRubOJay6jIWZy7+x9fMPjSbpzY+Ref6nZkxYAb+nv42TGh/3A3uvNbrNep41eGhNQ9RUFGgOpKwoVXZq1h/fD0TkyZS36++6jjCHuz73vyDcv+nwaeO6jTiCkhJsqaoTuAZ4HDrkgBahLSgZUhL5qXOu+BmiV/u+5KXtr5En8g+vNf/PXw9fBWktD8hPiFM7zOd06WneWz9Y5h0x3q6UVyZ0qpSXt32Kgl1E7ih2Q2q4wh7UFkCvzwFEW2g7Y2q04grJCXJmtw8oHFv87okB9yVeVziODILMtl5aucfv6frOjNSZjBt5zQGxQzirb5v4eUmj7P+r1ZhrXis02NsOL6Bj1I+Uh1H2MCMlBmcKj3FU12ewt3grjqOsAfr34KiE7+dzyaHGjsqKUnWFj8ACrLhbLrqJJdtSKMhBHgG/LEdgK7rTN81nQ+TP+SauGt4rddreBg8FKe0T2MTxjIibgQzUmawLsfxbreKmks7l8Y3B75hVJNRJNVLUh1H2IP8I7DpPWg1DqK7qE4jakFKkrXFO+ZWAAA+7j6MiBvBiuwVFBoLeWXbK3yx7wvGJYzjhe4vyE/MF6FpGk92eZJmwc14bP1jHCs6pjqSsAKTbuLFLS8S4BnAQ+0eUh1H2ItfngSDOwx8TnUSUUtSkqytTjSEJjpkSQLzAu5qUzXTc6cz69Asbm5+M092eRKDJl86l+Lt7s1bfd5CQ+Oh1Q/V6qgXYZ8WZSxi9+ndTG4/mTredVTHEfbg8Bo49CP0nAyBzr+hrrOT73S2ED8Ajm6EKsf7Jtk4qDGd6nfibPVZ/tX6X0ztMFXOoboMkQGRvNrzVdLOpfHC5hcuuAheOKbz5ed5a+dbtK3XlhHxI1THEfbAWA1LH4O6sdD1ftVphAVISbKF+P5QXQ5ZG1UnuSLPdnuWO8Pu5P6290tBugI9I3tyb9K9LDm85IqOexH26e1db1NUWSQzq+K/dnwGZw7CoJfAQ3ZbdwbyJ9sWYrqDuw9krFCd5IpEBUTRxreN6hgO7V+t/0WvyF68uv1VUs6kqI4jain5dDLfp3/Pjc1uJKGu7KIsgJI8WP0SNO4DTa9SnUZYiJQkW/DwhtgeDrsuSdSeQTPwco+Xqe9bn8lrJnO27KzqSOIKVZuqeWHLC4T7hjMxaaLqOMJerH4RKophyGtyPpsTkZJkK/EDIC8D77Jc1UmEIkFeQbzd920KKgp4ZN0jVJuqVUcSV+C7g9+Rdi6Nxzo9JpuoCrOTe2Dnl9DpLqjXVHUaYUFSkmwlfgAAwfm7FQcRKiUGJ/J016fZnrudd3e9qzqOuEy5Jbl8mPwhPRv2pH90f9VxhD34/Xw27zrQ5zHVaYSFSUmylZA4qBNDcP7OS79WOLVr4q7husTr+GL/F6w46pjr1FzV69tfx6gb+b/O/ycPMQiz/Qsge9Nv57PVVZ1GWJiUJFvRNGgyiLrn9jjkVgDCsh7t+Citw1rz5IYnOXz+sOo4ogY2HN/AiqMruKvVXUQFRKmOI+xBZSn88jTUbw3tbladRliBlCRbShyKm6kCjsgxFa7Ow82Dab2n4e3uzYNrHqSkqkR1JHER5dXlvLTlJWIDY7mt5W2q4wh7sfFtKMyBoa/J+WxO6pIlSdM0b03TtmmalqJp2n5N02Sf9SsV24NqN29IXao6ibAD9f3q82bvN8kuzOapjU/JRpN27NO9n5JTnMOTXZ7E081TdRxhD85nw8Z3oOVoiOmmOo2wkprMJFUA/XRdbwMkAUM0TZMT+66Euxf5we0gbRmYTKrTCDvQsX5HHmz3ICuOruDrA1+rjiMuIKsgi8/3fc6wRsPoHNFZdRxhL355EtBg4POqkwgrumRJ0s2Kf/tXj99+yY+8VygvpBMUnYSTyaqjCDtxS4tbGBgzkOk7p7M9d7vqOOJ/6LrOS1tfwsvNi4c7Pqw6jrAXR9bBgUXm89mCIlWnEVZUozVJmqa5aZqWDJwGVui6vtWqqZxYXkh70Axyy038QdM0Xuj+AtGB0UxdO5XcEtlLy14sy1rGlpNbmNR2EqE+oarjCDugmYzm89nqREO3SarjCCvTLmcdhKZpdYAfgEm6ru/7y/vuBu4GCA8Pbz979mwLxvy74uJi/P39rTqGNRQXF9Mj/SXcjGXs7PC26jg15sifb0fJnVuVy5sn3yTCI4I7/O+gTkAd1ZGuiCN9zv/XX3OXmcp48cSLBLkFMbX+VLs9n81ZPt+OIuTwD7TK/pJ9LR7lbJjjrEVy1M+3rXL37dt3p67rHf72Dl3XL+sX8DQw9WKvad++vW5tq1evtvoY1rB69Wpd3/COrj8TqOvnslXHqTGH/nw7kOVHlustv2ypT5h5t15WWaE6zhVxtM/57/6a++UtL+utvmyl7zuzT02gGnKWz7dDKMnTK19ooOtfXKXrJpPqNJfFIT/fuu1yAzv0C/SZmjzdFvbbDBKapvkAA4FDlmxwLidxmPlt2jK1OYRyuq5z5GwJc3cc49H5e3j1e08q83qxp3ITHb/pzYhZU5iVspZqo1F1VJdyIO8As1NnMy5xHC1CW6iOI+zFmldxry41P/Ivm4m6BPcavCYC+ErTNDfMa5jm6rr+o3VjObnQeAhpAqk/m8/6ES6jstrE/hMF7Mg6x46j+ezIOkdeSSUAdXw96BBTlzHRD7LveDwHtb1klv/Ky8m/8MqOYJoF9uSW1tcypElbDAb7vPXjDIwmIy9sfoG6XnX5d7t/q44j7EVFMez+ltz6fYgIl+LsKi5ZknRd3wO0tUEW15I4BLZ8BOWF4B2oOo2wkoKyKnZln2NHlrkQJR87T0W1efuHmBBf+iTWo0NsXTrG1qVxqD8Gg/mn0zVr2tKnz0OcKi7gw20LWZm9nP0lS3h0yyIe31CfpOC+/KvdaLrGJKr8z3NK36d/z768fbzS8xUCPeXPpvjNwcVQVUJu/YFEqM4ibKYmM0nCGhKHwab3IPNXaDFSdRphAbquk3OujJ1Hz7E9K5+dR8+ReqoIXQc3g0bLBoHc0DmGjrF1aR9bl3oB3pe8Zrh/EM/1u4XnuIXD+af4YNsCNpxcwc7CWdy9ZhZexhg6hfXnvk5jaBEuR2XU1tmys7y962061e/EVY2uUh1H2JPkmVC3EQVBzVQnETYkJUmVyE7gE2zeCkBKkkOqNpo4lFvEjqx8th89x86sc+QWlgPg7+VOu5i6DGsVQYfYuiRF1cHXs3Z/3BoHhzNtyL3AvSSfzOKjHd+z/cwq1ud/zrqlX+CvJ9CrwSDu73wt0XXCLPBf6Hre2vEWZdVlPNHlCTnAVvzX+WzIWg99Hgfk68KVSElSxc0dmgyC9OVgrDb/u7BrJRXV7M4+/8daot3Z5yipNC+obhDkTadGwXSIrUuHmGAS6wfgZrDeX6ZJEbF8NHwKMIV1R/bzya4F7D2/hqW57/Hzwg+pSysGxgzmvs4jCPENsFoOZ5Jens6SU0u4q9VdNA5qrDqOsCcpc8xv24yHlCNqswibku/MKiUOhT2zIWebnP1jh3ILyv8oRDuO5nPwZBFGk46mQdP6gYxuH0n7mLp0iA2mYR0fZTl7NWpBr0YtMJme4KfUHXy19wfSitczL/s15ma9Rbh7e65uPIy7OwzDz8tLWU57VmWsYm7+XBr6N+Su1vIwhfgfug4psyC2J9SNAaQkuRIpSSrF9wc3T/NTblKSlDKZdNJPF/+xlmh7Vj4558oA8PFwIymqDvf1iaN9bDBto+sQ6O2hOPHfGQwGhjfrxPBmnag2Gpm1Zy1zDi7maPlmPs/YwueprxDl1ZkxicO5Makfnu7yx/93Xx34ityqXN7v+T4+7uoKr7BDx7ZBfib0nKI6iVBA/pZUySvA/NNJ6lIY9KLqNC6lvMpIyrHz7DhqfvJs59FzFJZXAxAW4EWHmLrc1r0RHWLq0rxBIB5ujvXIvbubGze17cdNbftRWlXB5zt/YVH6T2RXbmb6/jVM3xNIvG93bmw1kmubdXGZLQWMJiPJJ4+wKXs/e8+kkVWYSV5lNhWG4+glzfm/b6vx81qLv7c7/l7//eXn5U6At/ntpX7f28Mg65mcSfJ34OELza9RnUQoICVJtcSh8PNUOJsOoU1Up3FaecUVfxSiHUfPse94AVVG85E8Ter5c1XrCDrEmNcURQf7OtU3OV8PL+7vMpz7uwznXGkxM7YvYVnWMtLLfuHZHUt5fksoLYJ6c2fbUfSLa606rkWYTCb2nc5m49H97D2dyuGCTM5WZlOunUAzVP7xOs0YhL/WkBjvoQSUdiQsPpTi8mpKKqspKq8mt6Cc4orqP37V5BQnN4OGn6cbAd4e+Hm5/blMebr/qYBd6ve93KVwKVVVBvt/gGbXmH+oFS5HSpJqCUPMJSl1qZQkCzt+vozP9lbw/I41HD5bAoCnm4HWkUHc0aMxHWPr0i66LnX9PBUntZ26vv483vt6Hu99PTkF+Xy47QdW5yxnT/ECHtjwPe5rGtI+tC/3tB9Nh8h41XEvyWQykXr2BBuO7ifl1CEOF2ZwptxchjCU//eFRn/8tIbE+/Qjvk4c7SKa0jOmFVF1Qv54yZo1a+jTp80/jqXrOmVVRorLq/9UnH7/95KKaop+e2v+PSPFFVWUVBgpLK/mZEG5uYBVVFNcWfPC9eeZKzf8vT3w/618BXp70EQz1eZTKC7m0E9QUQhJ16tOIhSRkqRanSio38pckrrL7r6W9MQPe9l6sppeicGM6xhFh5i6tGwYhLeHm+podiEyKJiXB94B3MGhMzl8uO0HNp9aydbz37J11bd4G+PoVn8AEzuOIjGsgeq4ZOblsi5rHymnDpFxPoPT5dmUkQNuZf99kdEXX60hjbx7EFcnnqTwpvSMbUnj4PBaj69pGr6e7vh6ulOvltcymX4rXP9TtP5Usi7y+wVlVRw/V0pJhZG8kgqCveCqAdX4e8lf5xaXMgsCIyG2l+okQhH5U2UPEofBujegNB98g1WncQo7j+azJvUMYxM8eOOWjqrj2L2mYZG8e9UkYBLbczL4aMf37Mr7lV/P/IdVP31MoN6MvpGDua/zSBoEWvdrNPv8GdZl7WN37iEyzmWQW55FqX4C3Ir/+yKjNz40JNq7K42D4kgKT6RHTEuahEQ4xPoqg0HD77fbarWpb1sO53H9x1t4etE+3hqXZKl4AqDwpHmz3x6TwQG+poR1SEmyBwlDYO1rkP6LeR8OUWvTfkkj1N+TAdHyJX65OkbG0zHyUeBRVqQn80XKAvYXrGPxieks+v49QgytGRI7jHs7XU0dH78rHudEYT7rs/az8+RB0s9lkFuWRbGeA25Ff7xGN3nhrTcg0qs9jQLjaBOeSPfoljSvF+kQZcjaujQO4Zo4DxbsOk6P+FBGtYtUHcl57J0LugnayK02VybfQexBRBIERJi3ApCSVGubMs+yKTOPp69ujlf1UdVxHNrAJkkMbJKEyWRiwf7NfLt/IZmlG5mZ9SLfHX6DBu4dGNHkKm5rPwhfjwvvwXSmuJB1R/ex88RB0s5lcKI0i2JTDrrb+T9eo5s88NIb0MAzidjAxrSqZy5DberHSBm6hGviPDhpDODJhftoG12XRqFXXlzFb3TdfAxJZCfzgeTCZUlJsgcGg3k2ae88qK4Ad9nw70rpus5bv6RRP9CbCZ2j2bJRSpIlGAwGxrTqzphW3amsruab5FXMT/2RnIqtfJS6kY8OvESsT1eGNOrH7mN7+XDeCk6UZFFozEF3z//jOrrJHU9TfcI9mxMT2JiWYYl0jWxB+4aNcXeTtWJXws2g8fb4JIa+s55Js3bx/b3d8HKXz2WtnNgNZw7B1dNVJxGKSUmyF4nDYOcX5vOB4geoTuOw1qadYcfRc7w4sqUs0LYST3d37ugwmDs6DKaoooxPti/lx8M/c6R8LR+lrgRAL3HDwxhOmGcC0f6NaBmWSJeo5nRs2EQ2sbSCBnV8eGNMa+7+ZievL0vlqaubq47k2FJmgZsXtBilOolQTP62sheNepk3LEtdJiXpCum6zlsr0ois68O4DlGq47iEAC8fJvcYxeQeozhTXMgPBzdSfvwcd141+h9vvwnrGNSiPrd0jeGzDUfoHh9Cv6a1f6LPJVVXwt750HQY+NRRnUYoJjf77YWHN8T1M28FUJMNVMTfrDhwij05Bfy7fxM83eVL29bC/AO5u+NQWtdpIAVJkf8b1oxmEYFMnbeH3ILyS3+A+Lv05VCWD0k3qE4i7IB8J7EniUOhMAdy96pO4nBMJvMsUqNQP0a1bag6jhBKeHu48d71bSmrNPLgnN0YTfID12VLngX+4dC4r+okwg5ISbInTQYDmnk2SVyWn/ed5FBuEQ8OaIK7g52zJoQlxdfz57kRLdhyOJ8PV2eojuNYSs6aZ5JajwM3WY0ipCTZF/8wiOwIaVKSLofRpDN9RRpN6vlzdWv1O0MLodrY9pGMSGrA9JVpbM/Kv/QHCLO988BUDW0mqE4i7ISUJHuTONT8+GnhCdVJHMai5ONknilh8sAE3AxyGKgQmqbx4siWRAX78sCs3Zwvrbz0Bwnz3kgRbSBcng4UZlKS7E3iMPPbtGVqcziIKqOJt1em0zwikMEt6quOI4TdCPD24L3r23KmuIJH5u9BlwdCLu7UfsjdI7NI4k+kJNmbsESo20jWJdXQ9ztzyM4vZcqgBAwyiyTEn7SOrMMjg5vyy4FTfLtFNla9qOSZYHCHVmNUJxF2REqSvdE08y23w2uhskR1GrtWUW3k3VXpJEXVoV/T2p7LLoRzuqNHI/okhvHCTwc5cKJQdRz7ZKyGPXPNJx/4hapOI+yIlCR7lDgUjBWQuVp1Ers2Z/sxThSUM2VQApoms0hCXIjBoPHm2DYE+XgwadYuSiurVUeyP5m/QslpOcxW/I2UJHsU3RW8g+SW20WUVxl5/9cMOsUG0yNefvIT4mJC/b14+7okDp8t4dnF+1XHsT/J34FPMDQZpDqJsDNSkuyRm4f5D2vaMjAZVaexS99uOcrpogqZRRKihrrHhzKxTxxzd+SwOEWenv1D2TlI/RlajQV3T9VphJ2RkmSvEoZA6Vk4vlN1ErtTUlHNh2sy6REfSufGIarjCOEwHhyQQLvoOjy+YC/ZeaWq49iHfQvAWAlJcqtN/J2UJHsVP8D8pEXqz6qT2J0vN2WRX1LJ5EEJqqMI4VA83Ay8M74tBg0mzdpFZbVJdST1UmZBWDOISFKdRNghKUn2yqcOxHSXdUl/UVhexcfrDtOvaT3aRddVHUcIhxMV7Mtro1uTklPAtF9SVcdR62w65GyHpAnmJ4uF+AspSfYscSicOQT5h1UnsRufrT9CQVkVkwfKLJIQV2poqwhu6BzNf9YdZk3qadVx1EmZBZrBfFabEBcgJcmeJQwxv02V3bcBzpVU8tmGIwxpUZ+WDYNUxxHCoT11dXMSwwOYMjeF04XlquPYnskIKbMhrj8EyG794sKkJNmz4EZQr7msS/rNx+sPU1JZzUMyiyRErXl7uPHehLaUVFYzeW4KJpOLHVtyZB0UHpcF2+KipCTZu8ShcHST+TFVF3amqIIvN2YxvHUDEusHqI4jhFNICA/gmeEt2JBxlo/WZaqOY1sps8ArCBKvUp1E2DEpSfYuYSjoRkhfqTqJUh+tzaSi2siDA5qojiKEUxnfMYqrWkcw7Zc0dh51kR/GKorg4BJoeS14eKtOI+yYlCR717A9+IVBmus+5ZZbUM43W44yql0kjcP8VccRwqlomsYro1oREeTNv2ftpqCsSnUk6zuwCKpKIekG1UmEnZOSZO8MBvMC7vSVUF2pOo0SH6zOwGTSeaC/zCIJYQ2B3h68e31bcgvL+b8Fe9B1J1+flDwLguMgsqPqJMLOSUlyBInDoKIAsjepTmJzOedKmb09m3Edo4gK9lUdRwin1S66LlMHJfLz3lxmbTumOo71nMuCoxvMC7ZlbyRxCVKSHEHjPuDu7ZIbS763KgNN05jUL151FCGc3r96NaZnk1CeW7Kf1Nwi1XGsI2U2oEHr8aqTCAcgJckRePqai1LqUnD2afD/kXW2hPm7cpjQKZqIIB/VcYRwegaDxrRxbQjwdmfSrF2UVTrZAdu6bn6qrVFPqBOlOo1wAFKSHEXiUDh/FE4fVJ3EZt5ZlY6Hm8bEvnGqowjhMuoFePPWuCTSThXzwk8HVMexrOzN5tttbSaoTiIchJQkR/HH7tuusbFk+qkiFiYf55ausdQLkEd0hbClXglh/Kt3Y2ZuzeanPSdVx7Gc5Jng4QfNhqtOIhyElCRHEVAfGrSDNNc4ouTtlen4erjxr94yiySEClMHJdImqg6PLdjDsfxS1XFqr7IU9i+EFiPBS7YSETUjJcmRJA6DnB1QdEp1Eqvaf6KAn/ae5PYejQj281QdRwiX5OFm4L3xbUGHf8/eTZXRpDpS7Rz6CSqLoI0cQyJqTkqSI0kcCuiQvlx1EquaviKdQG937uzZWHUUIVxadIgvL49qxe7s80xfkaY6Tu0kfwdB0RDTXXUS4UCkJDmS8BbmP+ROvBVA8rHzrDx4irt6NibIx0N1HCFc3vA2DRjfMYoZazPZkH5WdZwrU3AcDq+BNuPNG/QKUUPy1eJINA0Sh0DmaqgqU53GKt5akUZdXw9u69FIdRQhxG+eGd6CuDB/HpqbzJmiCtVxLt+eOYBuLklCXAYpSY4mcShUl8HhtaqTWNz2rHzWpZ3hnt5x+Hu5q44jhPiNj6cb709oS0FZFVPmpWAyOdB+bb/vjRTVBULkQRBxeaQkOZqYHuAZ4HRbAei6zpvLUwn19+LmrrGq4wgh/qJp/UCeuro569LO8OmGw6rj1NzxXXA2DZJkbyRx+aQkORp3T2gywLwVgMnBnzb5H5sy89h6JJ/7+sbh4+mmOo4Q4gJu7BzN4BbhvL4sleRj51XHqZmUmeZjnVqMVJ1EOCApSY4oYSgUn4KTu1UnsQhd15n2SyoRQd5c3yladRwhxD/QNI3XR7chPNCbf8/aTWF5lepIF1ddAXvnQ9OrwTtIdRrhgKQkOaImA0Fzc5qn3NaknmFX9nnu7xePt4fMIglhz4J8PXhnfBLHz5fxxA/70O35PMnUpVB+HpJkbyRxZaQkOSLfYIju6hQlSdd1pq1IJSrYh7Ht5cBJIRxBh9hgHhrQhCUpJ5i3I0d1nH+WMgsCIqBxX9VJhIOSkuSoEofCqX1wPlt1klpZvv8U+44X8u9+TfB0ly9HIRzFvX3i6do4hGcW7yfjdJHqOH9XfBrSV0DrcWCQGWpxZeS7kqNKHGp+m+q4Z7mZTDrTV6TRONSPa9s2VB1HCHEZ3Awab49PwsfTjftn7qa8yqg60p/tnQe6EdrIU23iyklJclQhcRCa4NBbAfy49ySpp4p4YEAT3N3kS1EIRxMe6M20sW04lFvEyz8fVB3nz5JnmQ8Fr9dUdRLhwOQ7kyNLHApZG6C8QHWSy1ZtNPH2yjQSwwMY3rqB6jhCiCvUt2k97uzRiK83H2XZvlzVccxO7oFTe2VvJFFrUpIcWcJQMFVBxirVSS7bwuQTHD5TwkMDm2AwaKrjCCFq4ZEhTWnVMIhHv9/D8fN2cGRSyiwweEDL0aqTCAcnJcmRRXUCn2DzxpIOpMpo4p1VabRoEMjgFvVVxxFC1JKnu4H3rm9LtdHEA7N2U21UuNGtsQr2zDWfc+kbrC6HcApSkhyZwQ0ShkDacjBWq05TY/N25HAsv4wpgxLQNJlFEsIZxIb68dK1rdhx9BzvrkpXFyRjJZSelQXbwiKkJDm6xKHmzdKObVGdpEbKq4y892s6baPr0Dexnuo4QggLGtm2IaPbRfLe6gw2ZZ5VEyJ5JviGmjfdFaKWpCQ5urh+4ObpMBtLzt6WzcmCcqYMTJRZJCGc0PMjWtAoxI+H5iSTV1xh28FL883LD1qPAzcP244tnJKUJEfn5Q+Nepm3ArDn4wGAskojH6zJpHOjYLrHh6iOI4SwAj8vd96b0JZzJVU8PH+PbY8t2fc9GCuhjRxDIixDSpIzSBwK+YfhrMJ1ADXwzZYszhRVMGWQzCIJ4cxaNAji8WFN+fXQaT7fmGW7gZNnQnhLiGhtuzGFU5OS5AwSft992343liyuqOajtYfp2SSUTo3kiRMhnN0t3WIZ0CycV5ceZG+ODfZyO5MKJ3bJLJKwKClJziCoIdRvbdfrkr7ceIT8kkqmDEpUHUUIYQOapvHGmNaE+HkxadYuiius/ARu8kzQ3MzrkYSwEClJziJxGORsgxJFT5RcREFZFR+vO8yAZvVIiqqjOo4Qwkbq+nnyzvgksvNLeWrhPusNZDLCnjkQPwD85alZYTlSkpxF4lDQTZD+i+okf/PZ+sMUllfz0MAE1VGEEDbWuXEI/+7fhB92H+f7nTnWGeTwGig6KceQCIuTkuQsItpAQAO7W5eUX1LJ5xuzGNaqPi0aBKmOI4RQYFK/JnRqFMxTi/Zx+Eyx5QdImQXedcw/LAphQVKSnIWmmbfhz/gVqspVp/nDf9ZlUlJZzYMDZBZJCFflZtB4Z3wSnu4GJs3aTUW10XIXLy+Ag0vM57S5e1nuukIgJcm5JA6DqhLI2qA6CQCni8r5alMWI9o0ICE8QHUcIYRCEUE+vDGmDftPFPLq0kOWu/D+hVBdLrfahFVISXImsT3Bw89ubrnNWJNJlVHnAZlFEkIAA5uHc2u3WL7YmMWOXAs97ZYyC0KaQMP2lrmeEP9DSpIz8fCG+H7mrQAU7759sqCM77ZmM7pdQxqF+inNIoSwH48NbUqbyCBmpFTww+5aLuTOPwzZmyHpevOSAyEsTEqSs0kYCkUn4GSK0hjv/5qBrutM6tdEaQ4hhH3x9nDjmzs706SugYfmpPDxuswrv1jKbECD1uMtlk+I/yUlydkkDAY08yGPihzLL2XujmNc1zGKqGBfZTmEEPYp0NuDKR28GdaqPi//fIiXfjqAyXSZs98mk/lWW+M+5g11hbACKUnOxi8UojorXZf07qp0NE3j/r4yiySEuDAPg8Z717fj5q4xfLL+CFPmpVBlNNX8Akc3wvlsWbAtrEpKkjNKHGq+3VZw3OZDHz5TzILdx7mxcwz1g7xtPr4QwnG4GTSeu6YFUwYm8MPu49zx1Q5Kanp8Scos8AyApldbN6RwaVKSnNHvG6opuOX2zqp0PN0M3NsnzuZjCyEcj6ZpTOrfhFdHtWJD+hkmfLKFvOKKi39QZQkcWAQtRoCn3NIX1iMlyRmFJkBwY5sfeJt2qojFKSe4pVssYQGyqZsQoubGd4rmPzd14FBuEWM+2syx/NJ/fvHBJVBZDG3kVpuwrkuWJE3TojRNW61p2gFN0/ZrmvaALYKJWtA088aSR9ZChRWOAPgH01ek4efpzr96NbbZmEII5zGweTjf3dmZvOIKRs3YxIEThRd+YfJMqBMD0V1tG1C4nJrMJFUDU3Rdbw50Ae7TNK25dWOJWkscCsZKyPzVJsPtO17A0n253N6jEXX9PG0yphDC+XSIDWb+vd1w0zSu+89mNmfm/fkF54/BkXXmBdsGuRkirOuSX2G6rp/UdX3Xb/9cBBwE5HlLexfVxXzgo43WJU1fkUagtzt39Ghkk/GEEM4rITyA7yd2IzzIm1s+38bSvSf/+849swEd2sjeSML6LquGa5oWC7QFtloljbAcN3doMshckkwWPEzyAnZnn2PVodP8q3ccQT4eVh1LCOEaGtbxYd6/utKyYSATZ+7imy1HzScJJM+CmO5QN1Z1ROECNL2Gx1domuYPrAVe0nV9wQXefzdwN0B4eHj72bNnWzLn3xQXF+Pv72/VMazBlrnDTm+gxYE32NX2VQqDmtXqWhfL/cb2MrILTbzR2xdvd/s6GkC+TmzPUbNLbtuqae4Ko86HyRWknDHy78jDTD77JIcSJ5EbMcAGKf/O2T/f9sZWufv27btT1/UOf3uHruuX/AV4AMuByTV5ffv27XVrW716tdXHsAab5i47r+vPBev6L0/V+lL/lHtL5lk95tEf9Y/XZtZ6DGuQrxPbc9Tsktu2Lid3VbVRnzo3Wf/2iWv1imfD9KqSc1bLdSmu8Pm2J7bKDezQL9BnavJ0mwZ8BhzUdf0ty3Y3YVXeQRDbA1Ktsy5J13WmrUgjLMCLG7vEWGUMIYRwdzPw+sgERntt46fqDtw7P4PyKusuIxACarYmqTtwE9BP07Tk334Ns3IuYSmJw+BsKuTV4hDJf7AxI49tR/K5v288Pp5uFr++EEL8TktdirexCJ+ON7Hy4Clu+mwrBaVVqmMJJ1eTp9s26Lqu6breWtf1pN9+qTsYTFyehCHmtxbeWFLXdd78JZUGQd6M7xRl0WsLIcTfJM+EwIYMuXoc745vS/Kx84z7z2ZyC8pVJxNOTDaZcHZ1Y6BeC4uXpNWpp0k+dp5J/Zvg5S6zSEIIKyrKhcxV0Po6MLgxvE0DvrytE8fPlzHqw41knC5SnVA4KSlJriBxKGRvhtJ8i1xO13Wm/ZJGdLAvY9pHWuSaQgjxj/bMBd1k3kDyN93jQ5l9dxcqjSbGfLSZnUfPKQwonJWUJFeQOAx0I2SstMjllu/PZf+JQh7o3wQPN/kSEkJYka5Dyixo2AFCm/zpXS0bBvH9vd0I8vHghk+38OuhU4pCCmcl3+FcQYO24B8OqbVfSmY06by1Io3GYX6MbCsbrwshrOxkCpw+AEnXX/DdMSF+zL+nG/H1/Lnr653M23HMxgGFM5OS5AoMBkgYDOkrobqyVpf6cc8J0k4V89CABNwM9rVxpBDCCaXMAjdPaDn6H18SFuDF7Lu70rVxCA/P38OMNZm/7/EnRK1ISXIVicOgsgiObrziS1QbTby9Mp2m9QO4qlWEBcMJIcQFVFfC3nnmv7986l70pf5e7nx+a0eGt2nAa8sO8fyPBzCZpCiJ2pGS5Coa9QZ3n1o95fbD7uMcOVvCQwMTMMgskhDC2tJ/gdK8Py3YvhhPdwPvXJfEbd1j+WJjFg/MSaaiWjadFFdOSpKr8PSFuL7mknQF09DVJp13VqXTqmEQg5qHWyGgEEL8Rcos8KsHcf1r/CEGg8bTVzfn0SFNWZJygju+3EFxRbUVQwpnJiXJlSQMgYJsOLX/sj90fU41OefKmDwoAfNJNUIIYUUleZC2HFqPAzf3y/pQTdO4t08cb4xpzebDeYz/eDNniiqsFFQ4MylJruT33bfTLu+WW3mVkcWZVbSLrkOfhDArBBNCiL/YNx9MVdDmwk+11cTYDlF8cnN7Mk4XM+ajTRzNK7FgQOEKpCS5koBw814jl7EuSdd1PlidwbkKnamDEmUWSQhhG8kzoX5rqN+yVpfp1zScmXd1oaCsitEzNrHveIGFAgpXICXJ1SQOheM7zdv8X0KV0cQTC/fx3q8ZdIlwo1t8qA0CCiFc3qkDcDK5xgu2L6VddF3m39MVTzcD4z/ewsaMsxa5rnB+UpJcTeJQ89u0ZRd9WUFZFbd/uZ2ZW7O5p3ccd7f2skE4IYQAUmaCwR1ajbXYJePrBfD9xG40qOPNrV9sY0nKCYtdWzgvKUmupl5zqBMNqf9ckrLzShk9YxObM/N4fUxrHhvaFIPcZhNC2IKx2nxWW5NB4GfZ2euIIB/m/asbSVF1+Pfs3Xy58YhFry+cj5QkV6Np5o3ZDq+GytK/vXt7Vj4jPtjAmaIKvrmjM+M6RCkIKYRwWYdXQ/GpWi3YvpggXw++uaMzA5uF8+ySA7y+7JDszi3+kZQkV5Q4FKrL4fCaP/32D7tzuOGTrdTx9WThfd3pGheiJp8QwnUlzzTvrp0w2GpDeHu48eEN7bi+UzQfrsnk0e/3UG00WW084bgub/MJ4Ryiu4FXoPnA26bDMJl0pq9MMy/QbhzMRze2p46vp+qUQghXU3YeDv0E7W4Gd+uug3R3M/DytS0JC/Di3VXp5BVX8v6Edvh4ull1XOFYZCbJFbl7QvwASFtOeWUVk2bv5r1fMxjXIZKvb+8sBUkIocb+H8BYYbGn2i5F0zQmD0zghZEt+TX1NDd8uoVzJbU7BFw4FylJripxGJSc5qkPv+bnvSd5bGhTXhvdGk93+ZIQQiiSPBPCmkKDtjYd9qYuMXw4oR37jhcy9j+bOXG+zKbjC/sl3xFdVFpQZ6oxEJe/jhk3tOee3nGyUaQQQp2zGZCzzbxgW8HfRUNbRfD1HZ04VVDOqA83kXaqyOYZhP2RkuSCVqeeZtTnB0nWmnFLyCGGtKyvOpIQwtWlzALNAK2vUxahS+MQ5vyrK0ZdZ8yMTezIyleWRdgHKUku5suNR7jjy+1EB/uS0GscPucOwbks1bGEEK7MZII9c6BxXwiMUBqleYNAFtzbjRB/L274dCsrDpxSmkeoJSXJRVQbTTy9aB/PLjlAv6bhzLunK4FtrjG/8yIbSwohhNVlrYeCYzZbsH0pUcG+zL+nK03rB/Cvb3Ywe1u26khCESlJLqCovIo7vtrB15uPclfPRvznpvb4eblDcGPzIsnUn1VHFEK4spRZ5m1Jml6lOskfQvy9mHlXF3o0CeOxBXt5b1W6bDrpgmSfJCd3LL+UO77azuEzJbwyqhXXd4r+8wsShsDm96G8ALyD1IQUQriuiiI4sMh8TpuHj+o0f+Ln5c5nt3Tgkfl7mLYijTPFFfQJlKLkSmQmyYntyj7HtR9u5GRBOV/d3unvBQnMWwGYqiFjpe0DCiHEgcVQVWo3t9r+ysPNwLSxbbi7V2O+3nyUrw/IPkquREqSk1qccoLxH2/B19OdHyZ2p3v8PxwUGdkBfEMhdaltAwohBJhvtQU3hqjOqpP8I4NB4/FhzbizRyPWHKtm6+E81ZGEjUhJcjK6rvPOynT+PWs3SZF1WHhfd+Lr+f/zBxjczGckpf8CxirbBRVCiHNHzYu2Fe2NdLmmDEokxFvj6UX7qZKz3lyClCQnUl5l5KE5yUxfmcaodg355s5OBPvV4IiRxKHmNUnZW6wfUgghfrdnjvmtwr2RLoePpxsTmnmSeqqIrzZlqY4jbEBKkpPIK67ghk+3sjD5BA8PTmTa2DZ4udfwoMbGfcHNS265CSFsR9fNt9pie0LdGNVpaqxdPTf6JoYxfUUapwrLVccRViYlyQmknypi5Icb2Xe8gA8mtOO+vvGXd8SIlz807m3eCkAecRVC2EBg4SHIP2y3C7b/iaZpPHtNC6pMOi/+dFB1HGFlUpIc3Pr0M4z6cBNllSbm/KsrV7W+wt1qE4bAuSNwJtWyAYUQ4gLq564CDz9odo3qKJctJsSPe3vHsSTlBBszzqqOI6xISpID+3bLUW79YjsN6/qw6P7uJEXVufKLJQwxv02TW25CCCurKqPe6Y3Q/BrzTLYDurdPHNHBvjy9aB+V1bKI21lJSXJARpPO80sO8OTCffROCGP+vd1oWKeWm7AFNYSIJFmXJISwvkM/4W4sNT/V5qC8Pdx49prmZJ4p4bMNR1THEVYiJcnBFFdUc/fXO/h84xFu6x7LJzd3wN/LQhunJw6DY9ug+IxlrieEEH+l67Dra8q9wsyLth1Yv6bhDGwezrur0jl+vkx1HGEFUpIcyInzZYyZsYk1aWd4YWRLnhneAjeDBfcWSRwC6JC+3HLXFEKI/7VlBhxZy/GGV4HB8b8FPTO8OTo6L/54QHUUYQWO/xXqIlKOnWfEBxs5fq6Mz2/tyE1drPDIbP3WENhQbrkJIawjYxX88gQ0vZpjUSNUp7GIyLq+TOrXhKX7clmbJrPwzkZKkgP4ee9Jrvt4M17uBr6f2I3eCWHWGUjTzBtLZv4KVbL/hxDCgs5mwPzbIKwZXPsf0Jzn28+dPRvRONSPZxbto7zKqDqOsCDn+Sp1Qrqu88HqDCZ+t4vmEYEsvK87CeEB1h00caj5sMkj66w7jhDCdZQXwKzxoLnB9TMd9om2f+Ll7sZzI1qQlVfKJ+sOq44jLEhKkp2qrDYxdd4e3lieyjVtGjDzri6E+ntZf+DYnuDpb95YUgghastkhPl3mPdhG/c11I1VncgqejYJ46pWEby/OoNj+aWq4wgLkZJkh86VVHLjZ1v5flcODw1I4J3xSXh71PCIkdpy94K4fpC2THbfFkLU3qrnIGMFDH0dGjn202yX8uTVzXAzaDy3ZL/qKMJCpCTZmcwzxYz8cCPJx87z7vVteWBAk8s7YsQSEodB0Uk4mWzbcYUQziVlDmx8BzrcAR3vUJ3G6iKCfHigfxNWHjzNygOnVMcRFiAlyY5syjjLtR9spLi8mll3deGaNg3UBGkyyLyoUp5yE0JcqZydsHgSxPSAoa+pTmMzt/doRJN6/jz3435ZxO0EpCTZidnbsrn5823UD/Jm4X3daR9TV10YvxCI6izrkoQQV6bwJMyeAAHhMO4rcPNQnchmPNwMPD+iJcfyy/hwdYbqOKKWpCQpZjTpvPzzQR5bsJdu8aHMv7cbUcG+qmOZn3LL3QsFOaqTCCEcSVU5zLkBKopg/CzwC1WdyOa6xoUwIqkBH609TNbZEtVxRC1ISVKotLKae77dycfrDnNz1xg+v6UDgd528hNX4jDzW7nlJoSoKV2HJQ/A8Z0w6j9Qv6XqRMo8MawZnu4Gnlm8H10egnFYUpIUyS0oZ+xHm1l18BTPDm/O8yNa4u5mR/87QptASLyUJCFEzW16D/bMhj6PQ7PhqtMoVS/Qm4cGJrA27QzL9+eqjiOukB19V3Yd+44XMOKDDWSdLeGzWzpya/dGqiNdWMIQyFpvnjYXQoiLSfsFVjwNzUdAr4dVp7ELt3SNoWn9AJ5fcoDSymrVccQVkJJkYztPVTP2o824G8xHjPRtWk91pH+WOAyMleZjSoQQ4p+cSYPv74DwljByhlMcXGsJ7m4GXhjZkhMF5bz3qyzidkTylWxDX2/O4v3dFSTUD+CH+7rRtH6g6kgXF9UZfOrKLTchxD8rOwezrwc3T/ORI55+qhPZlY6xwYxuF8mn6w+TcbpYdRxxmaQk2ciqg6d4ZvF+kuq5MefuLtQL8FYd6dLc3KHJYEhbDrrs9yGE+Atj9W9HjhyF676FOtGqE9ml/xvWFB8PN55ZvE8WcTsYKUk2kHaqiAdmJ9OiQSD3tPGy3REjlpA4BMryCSpIVZ1ECGFvVj4DmavgqjchpqvqNHYr1N+LhwcnsjEjjx/3nFQdR1wGKUlWll9SyZ1f7cDH041Pbu6Al5uNjxiprbj+YPAgJG+b6iRCCHuSPBM2vw+d7ob2t6pOY/cmdI6hZcNAXvzpAMUVsojbUUhJsqIqo4mJ3+0kt7Ccj29qT0SQj+pIl887EBr1pN7pDVCarzqNEMIeHNtu3g+pUS8Y/LLqNA7BzaDxwoiWnC6q4J2VaarjiBqSkmQluq7zzOL9bDmcz2ujW9E2WuExI7XVYzKelefhq2ugJE91GiGESgXHzTtqBzaAsa515EhttY2uy/iOUXy+MYvUXNlaxRFISbKSb7YcZebWbO7pHce1bSNVx6mdRj3Z2+oJyEuHr4ZDyVnViYQQKlSVmc9kqyyB62eDb7DqRA7n4cFNCfB256lFsojbEUhJsoKNGWd5bskBBjSrx8ODE1XHsYhzwW1hwhzIPwxfXg3Fp1VHEkLYkq7DovvhZAqM+gTqNVOdyCEF+3ny6JCmbDuSz8Lk46rjiEuQkmRhR86WMPG7XcSF+fH2+La4GRxsofbFNO4DN8yF80fNRanolOpEQghb2TAd9s2Hfk9C02Gq0zi06zpE0SaqDi/9dIiCsirVccRFSEmyoMLyKu78ajsGDT69uSP+Xu6qI1leo15wwzwoyIGvroYiOZNICKeXugxWPQ8tRkHPKarTODyDQePFES3JK6lg+gpZxG3PpCRZiNGkM2nmbo7mlTLjxvZEh/iqjmQ9sT3gxvlQeAK+vMr8VgjhnE4fgu/vhIjWMOID0JxodlyhVpFB3Ng5hq83Z7H/RIHqOOIfSEmykFeXHmRt2hmeH9GSLo1DVMexvphucOP35ltuX15lfuJFCOFcSvNh1njw8IHxM8HTiX/4U2DqoETq+nry1MJ9mEyyiNseSUmygHk7jvHJ+iPc0jWGCZ1daFv+6C5w0wIoPvNbUcpRnUgIYSnGaph/m/nP9XXfQpCDP6Vrh4J8PXhsaFN2ZZ9n/k75+9MeSUmqpR1Z+Tzxwz56xIfy1NXNVcexvahOcPNCKM2DL4bB+WzViYQQlvDLk3B4DVw9HaI7q07jtEa3i6RDTF1eXXaI86WVquOIv5CSVAvHz5dxz7c7aVDHm/cntMXdzUU/nZEdzEWp/Lx5RuncUdWJhBC1setr2DoDukyEdjepTuPUDAaNF0a2pKCsijeWyxmZ9sZFv6vXXklFNXd+tYOKahOf3tKROr6eqiOp1bA93LwIygvNRSn/iOpEQogrkb0FfpwMjfvCwBdUp3EJzSICublrDDO3ZZNy7LzqOOJ/SEm6AiaTzpS5KaTmFvLe9W2Jr+evOpJ9aNAWblkMlcXmopSXqTqREOJynD8Gc26EOlEw9gtwc8JtTOzUQwMTCPX34qlF+zDKIm67ISXpCry9Mo1l+3N5fFgz+iTWUx3HvkS0gVuWmI8v+PJqKUpCOIrKUvORI1Xl5iNHfBz4vEkHFOjtwZNXNWNPTgGzt8vaTnshJekyLUk5wbu/ZjCuQyR39GikOo59qt8Kbv0RjJXmxdxn01UnEkJcjK7DoomQuxfGfAZhznGckqO5pk0DujQO5vVlqeQVV6iOI5CSdFn25hQwdV4KHWLq8sLIlmiyqdo/C29hLkq60Xzr7YwsSBTCbq1/E/b/AAOehYTBqtO4LE3TeH5ES0oqqnl9mfydaQ+kJNXQ6cJy7vp6B6H+Xnx0U3u83N1UR7J/9ZrBLT+af0r98mrzzr1CCPty6Cf49UVoNQ66P6A6jctLCA/g9h6NmLPjGDuPnlMdx+VJSaqB8iojd32zk8LyKj65uQOh/l6qIzmOek3h1p9AM5hnlE4dUJ1ICPG7Uwdgwd3mhy6ueVeOHLETD/RvQv1Ab55aKIu4VZOSdAm6rvN/C/aScuw8b41LonmDQNWRHE9YgrkouXmYD8XN3ac6kRDi9yNHPP3MR454+KhOJH7j5+XOU1c358DJQr7dIvvOqSQl6RI+WnuYH3YfZ8rABIa0rK86juMKjTcXJXdv+Go4nNyjOpEQrstYBXNvhqJcc0EKbKA6kfiLYa3q0yM+lDd/SeVMkSziVkVK0kWsPHCK15cfYnibBtzfL151HMcXEmdezO3hay5KJ5JVJxLCNS37P8haD8PfMe+YL+yOpmk8N6IF5VVGXll6UHUclyUl6R+k5hbxwOzdtGwQxOujW8uTbJYS3Bhu+wm8AuHra+D4LtWJhHAtO76A7Z9A1/sh6XrVacRFxIX5c3evxizYdZxtR/JVx3FJUpIuIL+kkju/3o6flzuf3NwBH095ks2i6saaZ5S8g+DrkZCzU3UiIVxD1kb4eSrED4CBz6tOI2rgvr7xNKzjw1ML91FlNKmO43KkJP1FZbWJe7/dyanCCj6+uQP1g7xVR3JOdWPg1p/Bty58MxKObVedSAjndj4b5t5k/iFl9GdgkB/+HIGvpztPD29O6qkivtqUpTqOy5GS9D90XeeZxfvZeiSfN8a0JimqjupIzq1OlHkxt28IfHMtZG9VnUgI51RRDLOuB2P1b0eO1FGdSFyGQc3D6ZsYxtsr0zlVWK46jku5ZEnSNO1zTdNOa5rm9M9tf735KLO2ZTOxTxwjkhqqjuMagiLhtp/Bvx58OwqObladSAjnYjLBwnvh9AEY8zmENlGdSFwmTdN49poWVBpNvPiTLOK2pZrMJH0JDLFyDuU2pJ/l+R8PMKBZOFMHyblFNhXYwDyjFBAB3442r5sQQljGutfh4GLzGqQmA1SnEVcoJsSPe3vHsSTlBJsyzqqO4zIuWZJ0XV8HOPWy+iNnS5j43U7iw/x5e3wSBoM8yWZzgRHmxdxBkfDdGDiyXnUiIRzfgcWw5hVoc735aTbh0O7tE0d0sC9PLdpHZbUs4rYFl1+TVFBWxR1fbcfdzcCnt3TA38tddSTXFVDfXJTqxMB3Y+HwGtWJhHBcuXvhh39Bww5w9dty5IgT8PZw49lrmpN5poTPNhxRHcclaLp+6XNhNE2LBX7Udb3lRV5zN3A3QHh4ePvZs2dbKuMFFRcX4+/vX6trGE0603dVcDDPyCMdvUkMtv7THpbIrYItc3tUnqdNytP4lJ1kX8snOBecdMXXks+37TlqdmfK7VFZQPudU9H0ana2n0alV7CidP/MmT7ftvbOrnL25xl5pYcPIT41m+uwh9xXwla5+/btu1PX9b/vrKrr+iV/AbHAvpq8Vtd12rdvr1vb6tWra32N55fs12Me/VGfufVo7QPVkCVyq2Dz3MVndf3Dbrr+fJiup6+44svI59v2HDW70+SuqtD1z4ea/+zk7FCSqSac5vOtQHZeiZ745M/6Pd/U/P+vPeS+ErbKDezQL9BnXPZ229ztx/hswxFu7RbL9Z2iVccRf+UXArcsMR+OO2sCpK9QnUgIx7DsUTi6EUa8Dw3bq04jrCAq2Jf7+8azdF8ua9POqI7j1GqyBcAsYDOQqGlajqZpd1g/lnVtz8rniYV76dkklCevaqY6jvgnvsFw82Ko1xRmT4DUZaoTCWHftn8KOz6H7g9C63Gq0wgruqtXYxqH+vHMon1UVBtVx3FaNXm67Xpd1yN0XffQdT1S1/XPbBHMWnLOlXLPNzuJrOvL+9e3w93NZSfTHINvMNy8CMJbwJwb4dDPqhMJYZ+OrIOlj0KTwdD/adVphJV5ubvx7DUtyMor5eO1h1XHcVou1RBKKqq586sdVBpNfHpLB4J8PVRHEjXhUxduWggRrWHuzXDwR9WJhLAv57Jg7i0QHAejP5UjR1xEr4QwhrWqz/urMziWX6o6jlNymZJkMulMnptM2qkiPpjQjrgwx1vl79J86sBNP0CDJJh3CxxYpDqREHbBrbrUfOSIboTrZ4F3oOpIwoaeuro5bgaN55YcUB3FKblMSZq+Mo3l+0/x5FXN6ZUQpjqOuBLeQXDjAvNi1Hm3wb4FqhMJoZbJRNNDb8OZQzD2SwiJU51I2FhEkA8P9G/CyoOnWHXwlOo4TsclStKSlBO892sG13WI4rbusarjiNrwDoQbv4eoTvD9nbB3vupEQqiz5hXCzm6FwS9DXD/VaYQit3VvRHw9f55dsp/yKlnEbUlOX5L25Jxn6rwUOsUG88LIlmiy66zj8wqAG+ZDdBdYcBfsmas6kRC2l7MT1r3Byfr9oPM9qtMIhTzdDbwwoiXH8sv4cE2m6jhOxalL0qnCcu76egeh/l7MuLEdnu5O/Z/rWrz84YZ5ENPdfPRCinV3eBfCrphM8PNU8K9HRvxdcuSIoGtcCCOSGvDR2kyyzpaojuM0nLY1lFcZufvrHRSVV/PpLR0I8fdSHUlYmqcfTJgLsT3hh3tg93eqEwlhG8nfwoldMPAFjO6+qtMIO/HEsGZ4uhl4ZvH+30/LELXklCVJ13Ue/X4PKTkFTL8uiWYR8rSH0/L0hQlzoHEfWHQf7PpGdSIhrKvsHKx8DqK7yoaR4k/qBXrz0MAE1qadYfl+WcRtCU5ZkmaszWRR8gkeHpzI4Bb1VccR1ubhY370Oa4fLL4fdn6pOpEQ1rP6FSjLh6Gvy2028Te3dI2haf0Anl+yn9LKatVxHJ7TlaQVB07xxvJUrmnTgIl95HFYl+HhA+NnQpNBsOQB2O7QG8MLcWG5+2D7J9DhDvPmqkL8hbubgRdGtuREQTnv/ZqhOo7Dc6qSdCi3kAdn76Z1wyBeH9NanmRzNR7ecN23kDAEfpoM2z5RnUgIy9F1+Plh8w70fR9XnUbYsY6xwYxuF8mn6w+TcbpYdRyH5jQlKa+4gju/2oG/tzsf39wBbw/Zlt8luXvBuG8g8Sr4eSoNc5aoTiSEZeydD9mboP8z5jMNhbiI/xvWFG8PN55ZvE8WcdeCU5SkymoT9363izNFFXx8UwfCA71VRxIquXuadx9uejVNMj6FI+tVJxKidiqK4JcnoUE7aHuT6jTCAYT6e/Hw4EQ2ZuTx456TquM4LIcvSbqu88zifWw7ks/rY1rTJqqO6kjCHrh7wqiPKfOub17MXSn7hggHtvZ1KM6FYW+CweH/2hY2ckPnGFo2DOTFnw5QVi2zSVfC4f+0fbUpi1nbjnFf3zhGJDVUHUfYE08/DjWdZD4hfdULqtMIcWXOpMGWD80zSJHtVacRDsTNoPHCiJacKqxgYUal6jgOyaFL0vr0Mzz/4wEGNg9nysBE1XGEHSqo0xI63Q1bP4Kjm1XHEeLy6Dosfdi8ceqAZ1WnEQ6obXRdru8UzS9Z1ew8mq86jsNx2JKUW2Livu92kRAewNvXJWEwyJNs4h/0fwbqRJs3m6wsVZ1GiJo7uAQOr4G+T4JfqOo0wkE9PqwpIT4ak+emUFIheyddDocsSQWlVby9sxx3NwOf3NwBPy931ZGEPfPyh2veg/xMWP2S6jRC1ExlKSx/HOq1gA63q04jHFiAtwd3tvIiO7+Ul38+qDqOQ3G4kmQ06dw/axdnynQ+urE9UcFybpGogca9zd9oNn8A2VtVpxHi0ja+DQXHYNgb4CY/CIraaRrsxp09GvHd1mxWp55WHcdhOFxJMmjQpXEIN7fwpFMj2StEXIaBz0NQpPm2W1WZ6jRC/LP8I7DhbWg1FmK7q04jnMSUQYkkhPvz6Pw9nCuRhdw14XAlSdM07usbT+9ID9VRhKPxCoBr3oW8dFjziuo0Qvyz5Y+DmwcMlKcyheV4e7jx1rgkzpVW8tSifarjOASHK0lC1EpcP2h3M2x6D3J2qk4jxN+l/QKpP0PvRyAwQnUa4WRaNgziwQEJ/LjnJIuSj6uOY/ekJAnXM+hFCIiARROhukJ1GiH+q7oClj0KIU2g872q0wgn9a9ejWkbXYenFu4jt6BcdRy7JiVJuB7vIBj+Lpw5BGtfU51GiP/a/D7kH4ahr5l3jRfCCtzdDLw1Lokqo87D81PkbLeLkJIkXFOTAZB0o3lx7IndqtMIAQU5sO5NaDYc4vurTiOcXKNQPx6/qhnr08/y7ZajquPYLSlJwnUNfgn868HCiVAtT3oIxX55EnQTDH5ZdRLhIm7sHE2vhDBe+vkgh88Uq45jl6QkCdflUweGvwOnD8C6N1SnEa7s8FrY/wP0nGLeHV4IG9A0jTfGtMbL3Y3Jc1OoNppUR7I7UpKEa0sYDK3Hw4a34GSK6jTCFRmrYOkjUDcWuv1bdRrhYsIDvXlxZEuSj51nxppM1XHsjpQkIYa8Ar4hsPA+ue0mbG/bx+aHCAa/Ah7eqtMIFzS8TQOGt2nAO6vS2Xe8QHUcuyIlSQjfYLh6OpzaCxumq04jXEnRKVjzKsQPhMShqtMIF/bCiBaE+Hvy0JxkyquMquPYDSlJQgA0vQpajjGvTcqVnWiFjax8FqrLzY/8a5rqNMKF1fH15PUxbUg/Xcyby1NVx7EbUpKE+N3Q182LuRdNNK8TEcKasrdCykzoej+ExKlOIwS9E8K4qUsMn208wubMPNVx7IKUJCF+5xcCV00zL+De+I7qNMKZmYzw81QIbAi9pqpOI8Qf/m9YU2JD/Jg6L4WicvlhUUqSEP+r+Qhoca15J+7TB1WnEc5q55eQu8d8RI6nn+o0QvzB19OdaePacLKgjOeWHFAdRzkpSUL81bA3wSvAvMmksVp1GuFsSvPh1xcgtqe5kAthZ9pF12Vin3jm78xh+f5c1XGUkpIkxF/5hZqL0oldsPk91WmEs1n1PJQXwrA3ZLG2sFv/7t+EFg0CeXzBXs4Wu+5B4FKShLiQFteaz9Ba/QqckSc9hIWc2G2+1db5HqjXTHUaIf6Rp7uB6dclUVRRzf8t2Ouyh+BKSRLiQjQNrnoLPH1h0X3mhbZC1IbJBD8/DH5h0OdR1WmEuKSE8AAeGZzIigOnmLczR3UcJaQkCfFP/OvB0DcgZzts+VB1GuHoUmaZv5YGPg/eQarTCFEjt3dvROdGwTy/5ADH8ktVx7E5KUlCXEyrMZA4DH59Ec5mqE4jHFXZeVj5DER2gtbXqU4jRI0ZDBpvjm0DwNR5KZhMrnXbTUqSEBejaeYjS9y95LabuHJrXoWSs+bF2gb5a1c4lqhgX54e3pytR/L5fOMR1XFsSv60CnEpAfVhyGtwbIv5MFIhLsepA+avmw63QYMk1WmEuCJj20cysHk4ry9PJe1Ukeo4NiMlSYiaaDMemgyGlc9BXqbqNMJR6DosfQS8A6HfU6rTCHHFNE3jlVGtCPBy56E5yVRWm1RHsgkpSULUhKbB8LfBzRMWTzI/qSTEpexfAFnrof/T4BusOo0QtRLq78Uro1qx/0Qh765KVx3HJqQkCVFTgQ1gyMtwdCNs/1R1GmHvKoph+ZMQ0Qba3aI6jRAWMahFfca0j+TDNRnsyj6nOo7VSUkS4nIk3QBx/WHls3AuS3UaYc/WvwlFJ8y7txvcVKcRwmKeGd6ciCAfJs9JprTSuY9ukpIkxOXQNLjmXdAMsOh+ue0mLuxsBmx631yqozqpTiOERQV4e/Dm2DYczS/llZ8PqY5jVVKShLhcQZEw+EXzWpOdX6hOI+zN74u1PXxgwLOq0whhFV3jQrijeyO+2XKUtWlnVMexGilJQlyJdrdA4z6w4mk4n606jbAnqT9D5iro+7h513YhnNTUwYk0qefPI/NTOF9aqTqOVUhJEuJKaBoMf9f8z4v/bZ49EKKqDJY9BvWaQ8e7VKcRwqq8PdyYfl0SecWVPLVov+o4ViElSYgrVTcGBj4Hh1fDrq9VpxH2YOM75pnFoa+Dm7vqNEJYXcuGQTw4oAlLUk6wOOWE6jgWJyVJiNpofzvE9oTlT0CBa56SLX5z7ihsmA4tRkGjnqrTCGEz9/SOo210HZ5auI/cgnLVcSxKSpIQtWEwwDXvgW6EJQ/IbTdXtvxx81OPg15UnUQIm3J3M/DWuCQqq0088v0edCf6e1BKkhC1FdwIBjwHGSsh+TvVaYQKGSvh0I/Q62EIaqg6jRA21yjUj8eHNWVd2hm+3eo8D7NISRLCEjreCTHdYdnjUOh89+XFRVRXwtJHITgOut6nOo0QytzYJYZeCWG8/NNBjpwtUR3HIqQkCWEJv992M1bCkgfltpsr2fIh5GWYF2u7e6lOI4Qymqbx+ujWeLobmDw3mWqj42+2KyVJCEsJiTMfZJq+HPbMUZ1G2ELhCVj7OiReBU0GqE4jhHL1g7x5YWRLdmef5z/rDquOU2tSkoSwpM7/gqjO5tsvRbmq0whr++UpMFWbDz4WQgBwTZsGXN06gukr0th3vEB1nFqRkiSEJRncYMQHUF0OP06W227OLGsD7JsPPR6CurGq0whhV14c2ZJgP08mz02mvMqoOs4Vk5IkhKWFNoG+T0DqT7Dve9VphDUYq+Hnh6FONPR4UHUaIexOHV9PXh/TmrRTxUz7JVV1nCsmJUkIa+h6H0R2hJ+nQvFp1WmEpW3/FE4fgMGvmA+yFUL8TZ/EetzYJZpPNxxhy+E81XGuiJQkIazh99tulaXwk9x2cyrFp2H1SxDXD5pepTqNEHbt8WHNiAn2ZcrcFIrKq1THuWxSkoSwlrBE6Pt/cHAJ7P9BdRphKSufMx9kO/R180HHQoh/5OvpzrRxSZwsKOOFHw+ojnPZpCQJYU1dJ0GDdubbbiVnVacR/9/e3QdZVd93HH9/2AV5NETUhbJqGCXULQgCAxKsAYkVbaI0qRY7TTJNGjONRjSpVDStzR+ZNE2qbVqTTkeJNiYSVFKJGsEHqk6b0iAP8qyoQVaJi4XIk4K43/5xrh2VA3sucu9vz+7nNbOz9y4L9z2Xu3u+957fOff9al0GK++ESV/K1p6ZWYfGnfJB/nzKqcxf1sriteU66tdDklktNTRmu9327coW+lp5tb8FD3wVBgzJ3n7EzAqbNe3DtAw5ljkLVvPq7n2pcwrzkGRWa00t8NHZsHYBrFuYusaO1IofwtaV2RvYHjMgdY1ZqfRq7MHNfzSGXW8c4PoFq0vzJrgekszqYfLVMPiMbBH33u2pa6xae7dna5FOmQwjP5W6xqyURgwewLXnj2Dxule4d/lLqXMK8ZBkVg8NPWHG9+H1HfDz2alrrFpLvgFvvObF2mbv0+fOHsaEYcfxNwvX0rpjb+qcDnlIMquXwSOztSyr74YND6SusaK2roJlc2HCF7L/QzM7Yg09xN9fMpqI4C/uXkV7e+fe7eYhyayezv4KNI2C+6/xbrcyiMgW3Pc5DqbMSV1j1iWcdFxfbvzE7/Dfz29n7n++kDrnsDwkmdVTYy+YcQvs/V9YdH3qGuvI0z+BLUvhvK9Dn4Gpa8y6jEvGN/Ox05v4u0UbefaVXalzDslDklm9DRmdvaK06i54ZlHqGjuUN3bC4r+CoeNh9B+nrjHrUiTxzU+OYsAxjVwzfyX7D7SnTsrlIckshXOuhRNb4Gez4PXfpK6xPI9/C/Zsgwu/DT38q9LsaDthwDF84w9GsealnfzzY8+mzsnln3yzFBp7ZSeZ3N0Gi29IXWPv1bYBlv4LjP0MDB2busasy5o+cjCfGtvMLf/xHCte3JE65yAeksxSGToWJs+CFXfCs4+krrG3RWSnaejVH6bdmLrGrMu78aIWBh/bm6/MX8Xr+99KnfMuHpLMUvroX8LxI+BnV2Xn4bH01t0HLzwO534N+g1KXWPW5R3buyffvuQMXnh1D9/8+frUOe/iIckspZ69Ycb3YNfWbJGwpbV/Dyy6AQaPgvGfS11j1m185NTj+fzZw/i3X2zmiWe2pc75fx6SzFJrHg+TroTld8BzS1LXdG9P3gQ7W+HC70CPhtQ1Zt3KteeP4LQT+zP7nqd5be+bqXOAgkOSpOmSNkraJOm6WkeZdTtTr4dBw2Hhl2Ff5z1nSFfWZ+9W+K/vwhkz4eSzUueYdTu9ezZw86VjeHX3Pv564ZrUOUCBIUlSA3ALcAHQAlwmqaXWYWbdSs8+2dFur7XCw14snMJpm26FhmOyE0eaWRKjmj/AVdOGc9/Kl7n/6ZdT5xR6JWkCsCkino+I/cA84OLaZpl1QydPhElXwLLbGLjj6dQ13cvGhxi0fRlMuQ4GDE5dY9atfWnKqYw+aSBf+/c17Hgj7UkmGwt8z1BgyzuutwITa5Nj1s1NvQE2Psjp62+CA8tT1xyRlrY22HZ76ozqbP4Fe/o202/iF1OXmHV7jQ09uPnS0Vz43Sf5wZp2ZpwfSErSoojDvwOvpD8EpkfEn1WufxqYGBFXvuf7LgcuB2hqaho3b9682hRX7N69m/79+9f0NmrB3fVVxu4BO5/h1A3foyedY+Fitdrb2+lRsjNUt/foxarmz3Bg8JmpU6pWxsc4uLveytj9yOY3eXLLPmZP7Ee/nrUdkqZOnfpURIw/6A8i4rAfwCRg0TuuzwHmHO7vjBs3LmptyZIlNb+NWnB3fbm7/sra7u76cnd9lbG7vb09Hnn0sbrcFrAscuaZIk/3fgkMlzRMUi9gJrDwaE1vZmZmZu8liYYeaXazva3DNUkRcUDSlcAioAGYGxFra15mZmZmllCRhdtExIPAgzVuMTMzM+s0yrW60szMzKxOPCSZmZmZ5fCQZGZmZpbDQ5KZmZlZDg9JZmZmZjk8JJmZmZnl8JBkZmZmlsNDkpmZmVkOD0lmZmZmOTwkmZmZmeXwkGRmZmaWw0OSmZmZWQ4PSWZmZmY5PCSZmZmZ5fCQZGZmZpbDQ5KZmZlZDg9JZmZmZjk8JJmZmZnl8JBkZmZmlsNDkpmZmVkORcTR/0elbcDmo/4Pv9vxwKs1vo1acHd9ubv+ytru7vpyd325+/BOiYgT3vvFmgxJ9SBpWUSMT91RLXfXl7vrr6zt7q4vd9eXu4+Md7eZmZmZ5fCQZGZmZpajzEPSv6YOOELuri93119Z291dX+6uL3cfgdKuSTIzMzOrpTK/kmRmZmZWM6UbkiRNl7RR0iZJ16XuKUrSXEltktakbqmGpJMkLZG0TtJaSbNSNxUhqbek/5G0qtL99dRN1ZDUIGmFpPtTtxQl6VeSVktaKWlZ6p6iJA2UdI+kDZLWS5qUuqkjkkZU7ue3P3ZKujp1VxGSrqn8TK6RdJek3qmbipA0q9K8trPf13nbG0nHSXpY0rOVzx9M2ZjnEN2XVO7zdkl1P8qtVEOSpAbgFuACoAW4TFJL2qrCbgemp444AgeAr0ZEC3AWcEVJ7vN9wLkRMRoYA0yXdFbapKrMAtanjjgCUyNiTMkONf5H4KGI+G1gNCW43yNiY+V+HgOMA/YCP01b1TFJQ4GrgPERMRJoAGamreqYpJHAF4AJZI+Rj0s6LW3VYd3Owdub64BHI2I48GjlemdzOwd3rwE+CTxR9xpKNiSRPUA3RcTzEbEfmAdcnLipkIh4AtieuqNaEbE1IpZXLu8i24AMTVvVscjsrlztWfkoxQI8Sc3A7wO3pm7p6iR9ADgHuA0gIvZHxG+SRlVvGvBcRNT6BL5HSyPQR1Ij0Bd4OXFPEacDSyNib0QcAB4n23B3SofY3lwM3FG5fAcwo55NReR1R8T6iNiYKKl0Q9JQYMs7rrdSgg12VyHpQ8CZwNLEKYVUdlmtBNqAhyOiFN3APwCzgfbEHdUKYLGkpyRdnjqmoGHANuAHld2bt0rqlzqqSjOBu1JHFBERLwHfAV4EtgKvRcTitFWFrAF+V9IgSX2BC4GTEjdVqykitlYu/xpoShlTFmUbkiwRSf2Be4GrI2Jn6p4iIuKtyu6IZmBC5SXzTk3Sx4G2iHgqdcsRODsixpLtDr9C0jmpgwpoBMYC34+IM4E9dM7dELkk9QIuAu5O3VJEZR3MxWTD6W8B/ST9SdqqjkXEeuBbwGLgIWAl8FbKpvcjssPaS/HKemplG5Je4t3Te3Pla1ZDknqSDUg/iogFqXuqVdl9soRyrAmbDFwk6Vdku5PPlXRn2qRiKq8SEBFtZOtjJqQtKqQVaH3Hq4z3kA1NZXEBsDwiXkkdUtDHgBciYltEvAksAD6SuKmQiLgtIsZFxDnADuCZ1E1VekXSEIDK57bEPaVQtiHpl8BwScMqz6BmAgsTN3VpkkS2XmN9RNyUuqcoSSdIGli53Ac4D9iQNKqAiJgTEc0R8SGyx/djEdHpn2lL6idpwNuXgd8j20XRqUXEr4EtkkZUvjQNWJcwqVqXUZJdbRUvAmdJ6lv53TKNEiyUB5B0YuXzyWTrkX6ctqhqC4HPVi5/FrgvYUtpNKYOqEZEHJB0JbCI7KiIuRGxNnFWIZLuAqYAx0tqBW6MiNvSVhUyGfg0sLqyvgfg+oh4MF1SIUOAOypHRPYA5kdEaQ6nL6Em4KfZdo9G4McR8VDapMK+DPyo8sTreeBPE/cUUhlGzwO+mLqlqIhYKukeYDnZkbMrKM+ZoO+VNAh4E7iiMy/wz9veAH8LzJf0eWAzcGm6wnyH6N4O/BNwAvCApJURcX7dmnzGbTMzM7ODlW13m5mZmVldeEgyMzMzy+EhyczMzCyHhyQzMzOzHB6SzMzMzHJ4SDIzMzPL4SHJzMzMLIeHJDMzM7Mc/wfLa/q9ug92igAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.plot(df_add)\n",
    "\n",
    "plt.xticks(np.arange(0,12))\n",
    "plt.grid(True)\n",
    "plt.legend(['P1','P2','S'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "mature-dress",
   "metadata": {},
   "outputs": [],
   "source": [
    "df3 = df2[['month']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "exceptional-poetry",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-23-7c3769bc9e3f>:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df3['S'+str(x+1)] = i\n"
     ]
    }
   ],
   "source": [
    "s = []\n",
    "for i in range(20):\n",
    "    s.append([])\n",
    "for i in df2.drop(columns=['month']).values:\n",
    "    for x,j in enumerate(range(0,len(i),2)):\n",
    "        s[x].append(int(i[j])*0.4 + int(i[j+1])*0.8)\n",
    "for x,i in enumerate(s):\n",
    "    df3['S'+str(x+1)] = i\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "bottom-enemy",
   "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>month</th>\n",
       "      <th>S1</th>\n",
       "      <th>S2</th>\n",
       "      <th>S3</th>\n",
       "      <th>S4</th>\n",
       "      <th>S5</th>\n",
       "      <th>S6</th>\n",
       "      <th>S7</th>\n",
       "      <th>S8</th>\n",
       "      <th>S9</th>\n",
       "      <th>...</th>\n",
       "      <th>S11</th>\n",
       "      <th>S12</th>\n",
       "      <th>S13</th>\n",
       "      <th>S14</th>\n",
       "      <th>S15</th>\n",
       "      <th>S16</th>\n",
       "      <th>S17</th>\n",
       "      <th>S18</th>\n",
       "      <th>S19</th>\n",
       "      <th>S20</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11.6</td>\n",
       "      <td>8.4</td>\n",
       "      <td>11.6</td>\n",
       "      <td>...</td>\n",
       "      <td>9.2</td>\n",
       "      <td>11.2</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>9.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>...</td>\n",
       "      <td>8.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>8.4</td>\n",
       "      <td>9.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>6.8</td>\n",
       "      <td>8.8</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>...</td>\n",
       "      <td>6.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.2</td>\n",
       "      <td>7.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>8.8</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>8.4</td>\n",
       "      <td>7.2</td>\n",
       "      <td>...</td>\n",
       "      <td>4.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.8</td>\n",
       "      <td>5.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.8</td>\n",
       "      <td>...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>5.2</td>\n",
       "      <td>7.6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>...</td>\n",
       "      <td>6.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.2</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.6</td>\n",
       "      <td>10.4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.8</td>\n",
       "      <td>...</td>\n",
       "      <td>7.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>9.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>3.6</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>10.4</td>\n",
       "      <td>9.6</td>\n",
       "      <td>...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>13.6</td>\n",
       "      <td>10.4</td>\n",
       "      <td>13.2</td>\n",
       "      <td>8.4</td>\n",
       "      <td>7.2</td>\n",
       "      <td>5.2</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>4.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.4</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>...</td>\n",
       "      <td>9.6</td>\n",
       "      <td>10.4</td>\n",
       "      <td>11.2</td>\n",
       "      <td>14.4</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>10.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    month   S1   S2   S3   S4   S5   S6    S7    S8    S9  ...   S11   S12  \\\n",
       "0       1  5.2  4.4  5.6  7.2  4.8  7.2  11.6   8.4  11.6  ...   9.2  11.2   \n",
       "1       2  3.6  4.4  5.2  5.6  4.8  5.6   6.8   8.0   8.0  ...   8.8   5.6   \n",
       "2       3  2.4  3.2  4.8  5.2  4.0  3.6   7.6   6.8   8.8  ...   6.0   7.2   \n",
       "3       4  3.6  3.2  4.4  3.6  2.8  3.6   6.4   6.8   7.6  ...   6.4   5.6   \n",
       "4       5  2.8  3.2  3.6  4.0  3.2  2.8   4.8   8.4   7.2  ...   4.8   6.4   \n",
       "5       6  2.4  2.0  3.2  3.6  2.4  3.6   4.4   5.6   7.2  ...   6.0   5.6   \n",
       "6       7  2.8  2.4  3.6  3.2  2.8  4.8   4.8   5.6   6.8  ...   6.0   5.6   \n",
       "7       8  3.6  3.6  4.0  3.6  4.0  4.4   5.6   6.8   6.0  ...   6.8   7.6   \n",
       "8       9  2.8  3.2  4.4  4.0  3.2  5.2   6.8   6.8   8.0  ...   7.2   7.2   \n",
       "9      10  4.0  4.0  6.0  4.4  4.4  5.2   8.0   8.4   8.8  ...   7.2   8.0   \n",
       "10     11  3.6  4.4  6.4  6.4  4.8  6.4   8.4  10.4   9.6  ...  10.0  10.0   \n",
       "11     12  4.8  6.4  8.0  8.0  5.6  8.0  10.4  12.0  11.2  ...   9.6  10.4   \n",
       "\n",
       "     S13   S14   S15   S16   S17  S18  S19  S20  \n",
       "0   12.0  11.2  10.0  12.0   9.6  6.4  5.2  6.4  \n",
       "1    8.4   9.2   8.0  11.6   6.4  4.8  4.0  4.8  \n",
       "2    7.2   7.6   7.6   9.6   5.6  4.4  4.0  4.8  \n",
       "3    5.2   7.6   6.4   8.8   5.2  4.8  2.8  4.4  \n",
       "4    5.6   6.0   5.6   7.2   3.6  3.2  2.8  4.0  \n",
       "5    6.4   6.0   6.8   6.8   5.2  3.6  2.8  3.2  \n",
       "6    5.6   7.2   5.2   7.6   4.8  3.6  2.0  3.6  \n",
       "7    5.6   6.0   6.0   9.2   5.2  4.0  2.0  4.4  \n",
       "8    7.2   7.2   7.6  10.4   4.4  4.0  3.2  4.8  \n",
       "9    8.8  10.0   8.8   9.6   5.6  4.8  3.6  5.2  \n",
       "10   7.6  13.6  10.4  13.2   8.4  7.2  5.2  5.2  \n",
       "11  11.2  14.4  12.0  16.0  10.4  5.6  5.6  8.0  \n",
       "\n",
       "[12 rows x 21 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "decreased-trash",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>S1</th>\n",
       "      <th>S2</th>\n",
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       "      <th>S20</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>5.2</td>\n",
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       "      <td>5.6</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>8.4</td>\n",
       "      <td>9.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>6.8</td>\n",
       "      <td>8.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>9.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.2</td>\n",
       "      <td>7.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>8.8</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>8.4</td>\n",
       "      <td>7.2</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.8</td>\n",
       "      <td>5.2</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.8</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>7.2</td>\n",
       "      <td>5.2</td>\n",
       "      <td>7.6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>6.8</td>\n",
       "      <td>7.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.2</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.2</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.6</td>\n",
       "      <td>10.4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.4</td>\n",
       "      <td>8.8</td>\n",
       "      <td>6.8</td>\n",
       "      <td>7.2</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.8</td>\n",
       "      <td>9.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>4.8</td>\n",
       "      <td>3.6</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>3.6</td>\n",
       "      <td>4.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>4.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>8.4</td>\n",
       "      <td>10.4</td>\n",
       "      <td>9.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>13.6</td>\n",
       "      <td>10.4</td>\n",
       "      <td>13.2</td>\n",
       "      <td>8.4</td>\n",
       "      <td>7.2</td>\n",
       "      <td>5.2</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>8.0</td>\n",
       "      <td>10.4</td>\n",
       "      <td>12.0</td>\n",
       "      <td>11.2</td>\n",
       "      <td>9.6</td>\n",
       "      <td>9.6</td>\n",
       "      <td>10.4</td>\n",
       "      <td>11.2</td>\n",
       "      <td>14.4</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>10.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     S1   S2   S3   S4   S5   S6    S7    S8    S9  S10   S11   S12   S13  \\\n",
       "0   5.2  4.4  5.6  7.2  4.8  7.2  11.6   8.4  11.6  8.4   9.2  11.2  12.0   \n",
       "1   3.6  4.4  5.2  5.6  4.8  5.6   6.8   8.0   8.0  8.0   8.8   5.6   8.4   \n",
       "2   2.4  3.2  4.8  5.2  4.0  3.6   7.6   6.8   8.8  4.8   6.0   7.2   7.2   \n",
       "3   3.6  3.2  4.4  3.6  2.8  3.6   6.4   6.8   7.6  4.8   6.4   5.6   5.2   \n",
       "4   2.8  3.2  3.6  4.0  3.2  2.8   4.8   8.4   7.2  5.6   4.8   6.4   5.6   \n",
       "5   2.4  2.0  3.2  3.6  2.4  3.6   4.4   5.6   7.2  4.4   6.0   5.6   6.4   \n",
       "6   2.8  2.4  3.6  3.2  2.8  4.8   4.8   5.6   6.8  4.8   6.0   5.6   5.6   \n",
       "7   3.6  3.6  4.0  3.6  4.0  4.4   5.6   6.8   6.0  4.4   6.8   7.6   5.6   \n",
       "8   2.8  3.2  4.4  4.0  3.2  5.2   6.8   6.8   8.0  6.4   7.2   7.2   7.2   \n",
       "9   4.0  4.0  6.0  4.4  4.4  5.2   8.0   8.4   8.8  6.8   7.2   8.0   8.8   \n",
       "10  3.6  4.4  6.4  6.4  4.8  6.4   8.4  10.4   9.6  7.6  10.0  10.0   7.6   \n",
       "11  4.8  6.4  8.0  8.0  5.6  8.0  10.4  12.0  11.2  9.6   9.6  10.4  11.2   \n",
       "\n",
       "     S14   S15   S16   S17  S18  S19  S20  \n",
       "0   11.2  10.0  12.0   9.6  6.4  5.2  6.4  \n",
       "1    9.2   8.0  11.6   6.4  4.8  4.0  4.8  \n",
       "2    7.6   7.6   9.6   5.6  4.4  4.0  4.8  \n",
       "3    7.6   6.4   8.8   5.2  4.8  2.8  4.4  \n",
       "4    6.0   5.6   7.2   3.6  3.2  2.8  4.0  \n",
       "5    6.0   6.8   6.8   5.2  3.6  2.8  3.2  \n",
       "6    7.2   5.2   7.6   4.8  3.6  2.0  3.6  \n",
       "7    6.0   6.0   9.2   5.2  4.0  2.0  4.4  \n",
       "8    7.2   7.6  10.4   4.4  4.0  3.2  4.8  \n",
       "9   10.0   8.8   9.6   5.6  4.8  3.6  5.2  \n",
       "10  13.6  10.4  13.2   8.4  7.2  5.2  5.2  \n",
       "11  14.4  12.0  16.0  10.4  5.6  5.6  8.0  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.drop(columns=['month'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "advance-league",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "accredited-instruction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.plot(df3.drop(columns=['month'])[['S1','S2','S3','S4','S5']])\n",
    "plt.xticks(np.arange(0,12),\\\n",
    "           ['January','February','March','April','May','June','July','August','September','October','November','December'])\n",
    "plt.grid(True)\n",
    "plt.xticks(rotation=45)\n",
    "plt.legend(['Shop1','Shop2','Shop3','Shop4','Shop5'])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "chinese-sherman",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.plot(df3.drop(columns=['month']))\n",
    "# plt.xticks(np.arange(0,12),\\\n",
    "#            ['January','February','March','April','May','June','July','August','September','October','November','December'])\n",
    "plt.grid(True)\n",
    "plt.xticks(rotation=45)\n",
    "# plt.legend(['Shop1','Shop2','Shop3','Shop4','Shop5'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "settled-champion",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt \n",
    "import numpy as np \n",
    "  \n",
    "  \n",
    "# Creating dataset \n",
    "np.random.seed(10) \n",
    "  \n",
    "# data_1 = np.random.normal(100, 10, 200) \n",
    "# data_2 = np.random.normal(90, 20, 200) \n",
    "# data_3 = np.random.normal(80, 30, 200) \n",
    "# data_4 = np.random.normal(70, 40, 200) \n",
    "data = df.drop(columns=['daily sale'])\n",
    "\n",
    "fig = plt.figure(figsize =(10, 7)) \n",
    "  \n",
    "# Creating axes instance \n",
    "ax = fig.add_axes([0, 0, 1, 1]) \n",
    "  \n",
    "# Creating plot \n",
    "bp = ax.boxplot(data.dropna()) \n",
    "  \n",
    "# show plot \n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "adverse-aberdeen",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "0",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32mc:\\users\\junaid mp\\test\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   3079\u001b[0m             \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3080\u001b[1;33m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3081\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 0",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-30-d4e72f1838d9>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdropna\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mc:\\users\\junaid mp\\test\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, key)\u001b[0m\n\u001b[0;32m   3022\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[1;33m>\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3023\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3024\u001b[1;33m             \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3025\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3026\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\junaid mp\\test\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mget_loc\u001b[1;34m(self, key, method, tolerance)\u001b[0m\n\u001b[0;32m   3080\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3081\u001b[0m             \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3082\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3083\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3084\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mtolerance\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyError\u001b[0m: 0"
     ]
    }
   ],
   "source": [
    "data.dropna()\n",
    "\n",
    "data[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fancy-increase",
   "metadata": {},
   "outputs": [],
   "source": [
    "df4 = df3[['S1','S3','S4','S6','S7','S8','S11','S12','S14','S17','S18']]\n",
    "df5 = df3[['S2','S5','S9','S10','S13','S15','S16','S19','S20']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "light-gathering",
   "metadata": {},
   "outputs": [],
   "source": [
    "df4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ruled-state",
   "metadata": {},
   "outputs": [],
   "source": [
    "[0] * 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "tropical-binary",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "introductory-european",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "preceding-external",
   "metadata": {},
   "outputs": [],
   "source": [
    "a = [(0, 1),(0, 4),(0, 6),(0, 8),(0, 9),(0, 11),(1, 5),(2, 0),(3, 0),(4, 7),\\\n",
    "     (5, 0),(6, 3),(7, 0),(8, 2),(9, 0),(10, 0),(11, 10)]\n",
    "b = [1,3,4,6,7,8,11,12,14,17,18]\n",
    "\n",
    "def groupy(a,b):\n",
    "    \n",
    "    b.insert(0,0)\n",
    "    \n",
    "    flag = [False]*len(a)\n",
    "    res = []\n",
    "    i = 0\n",
    "\n",
    "    while(i < len(a)):\n",
    "        if flag[i]:\n",
    "            i+=1\n",
    "        elif a[i][0]==0:\n",
    "            flag[i] = True\n",
    "            inp = []\n",
    "            j = i+1\n",
    "            target = a[i][1]\n",
    "\n",
    "            while j < len(a):\n",
    "                if (flag[j]) or (a[j][0]!=target):\n",
    "                    j+=1\n",
    "                elif a[j][0]==target:\n",
    "                    flag[j]=True\n",
    "                    inp.append(b[a[j][0]])\n",
    "                    target=a[j][1]\n",
    "                    j=i+1\n",
    "                    if target==0:\n",
    "                        break\n",
    "                else:\n",
    "                    j+=1\n",
    "            i+=1\n",
    "            res.append(inp)\n",
    " \n",
    "    return res\n",
    "\n",
    "groupy(a,b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "illegal-richards",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fluid-cuisine",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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