Loan2-LR-2007-2017-Final-Model-(without county and state code, with log).ipynb

{
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  {
   "cell_type": "markdown",
   "id": "18b6ca08-8b73-406c-b0e3-3b956cb58732",
   "metadata": {},
   "source": [
    "### Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4cdc9e1b-f829-44f3-846c-e1521747276d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>loan_type</th>\n",
       "      <th>loan_purpose</th>\n",
       "      <th>loan_amount_000s</th>\n",
       "      <th>action_taken</th>\n",
       "      <th>state</th>\n",
       "      <th>state_code</th>\n",
       "      <th>county_code</th>\n",
       "      <th>applicant_income_000s</th>\n",
       "      <th>denial_reason_1</th>\n",
       "      <th>income_range</th>\n",
       "      <th>loan_amount_range</th>\n",
       "      <th>denial_rate_%</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>105.0</td>\n",
       "      <td>3</td>\n",
       "      <td>NC</td>\n",
       "      <td>37.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>(30-40]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>11.772744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>148.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NC</td>\n",
       "      <td>37.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(50-60]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>9.280838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>151.0</td>\n",
       "      <td>1</td>\n",
       "      <td>TN</td>\n",
       "      <td>47.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(50-60]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>9.280838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103.0</td>\n",
       "      <td>6</td>\n",
       "      <td>SD</td>\n",
       "      <td>46.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20-30]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>18.801683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NC</td>\n",
       "      <td>37.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10-20]</td>\n",
       "      <td>(0-100]</td>\n",
       "      <td>25.923851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051385</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>42.0</td>\n",
       "      <td>3</td>\n",
       "      <td>IL</td>\n",
       "      <td>17.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>(40-50]</td>\n",
       "      <td>(0-100]</td>\n",
       "      <td>13.377404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051386</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>172.0</td>\n",
       "      <td>2</td>\n",
       "      <td>CT</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(60-70]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>8.655376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051387</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>76.0</td>\n",
       "      <td>1</td>\n",
       "      <td>LA</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(10-20]</td>\n",
       "      <td>(0-100]</td>\n",
       "      <td>25.923851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051388</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1</td>\n",
       "      <td>LA</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(20-30]</td>\n",
       "      <td>(0-100]</td>\n",
       "      <td>15.802986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051389</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>150.0</td>\n",
       "      <td>2</td>\n",
       "      <td>MI</td>\n",
       "      <td>26.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(30-40]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>11.772744</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9051390 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         year  loan_type  loan_purpose  loan_amount_000s  action_taken state  \\\n",
       "0        2007          2             1             105.0             3    NC   \n",
       "1        2007          2             1             148.0             2    NC   \n",
       "2        2007          2             1             151.0             1    TN   \n",
       "3        2007          2             1             103.0             6    SD   \n",
       "4        2007          2             1              30.0             2    NC   \n",
       "...       ...        ...           ...               ...           ...   ...   \n",
       "9051385  2017          2             1              42.0             3    IL   \n",
       "9051386  2017          2             1             172.0             2    CT   \n",
       "9051387  2017          2             1              76.0             1    LA   \n",
       "9051388  2017          2             1              99.0             1    LA   \n",
       "9051389  2017          2             1             150.0             2    MI   \n",
       "\n",
       "         state_code  county_code  applicant_income_000s  denial_reason_1  \\\n",
       "0              37.0        159.0                   34.0              1.0   \n",
       "1              37.0        193.0                   60.0              NaN   \n",
       "2              47.0        157.0                   53.0              NaN   \n",
       "3              46.0         65.0                   23.0              NaN   \n",
       "4              37.0        165.0                   19.0              NaN   \n",
       "...             ...          ...                    ...              ...   \n",
       "9051385        17.0         39.0                   47.0              3.0   \n",
       "9051386         9.0          9.0                   70.0              NaN   \n",
       "9051387        22.0         17.0                   19.0              NaN   \n",
       "9051388        22.0         17.0                   28.0              NaN   \n",
       "9051389        26.0         99.0                   35.0              NaN   \n",
       "\n",
       "        income_range loan_amount_range  denial_rate_%  \n",
       "0            (30-40]         (100-200]      11.772744  \n",
       "1            (50-60]         (100-200]       9.280838  \n",
       "2            (50-60]         (100-200]       9.280838  \n",
       "3            (20-30]         (100-200]      18.801683  \n",
       "4            (10-20]           (0-100]      25.923851  \n",
       "...              ...               ...            ...  \n",
       "9051385      (40-50]           (0-100]      13.377404  \n",
       "9051386      (60-70]         (100-200]       8.655376  \n",
       "9051387      (10-20]           (0-100]      25.923851  \n",
       "9051388      (20-30]           (0-100]      15.802986  \n",
       "9051389      (30-40]         (100-200]      11.772744  \n",
       "\n",
       "[9051390 rows x 13 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# load\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import math\n",
    "finaldf = pd.read_csv('csv2_final_loan_XGBoost_IncomeLoanLimits_2007_2017_noCountyStateCodes-SUBMIT')\n",
    "finaldf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f9d1cbd2-8f05-443e-b5f5-a184cde62a9c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns with NaN values: ['denial_reason_1']\n"
     ]
    }
   ],
   "source": [
    "# check which columns have NaN values\n",
    "nan_columns = finaldf.columns[finaldf.isna().any()].tolist()\n",
    "print(\"Columns with NaN values:\", nan_columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "09ef3b64-ac61-4158-951f-7fcc12ca077a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# change NaN to None in denial_reason_1 column\n",
    "finaldf['denial_reason_1'] = finaldf['denial_reason_1'].fillna(\"None\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "aa71ca3d-9e6f-4517-94a8-ed5b85bb1994",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns with NaN values: []\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>loan_type</th>\n",
       "      <th>loan_purpose</th>\n",
       "      <th>loan_amount_000s</th>\n",
       "      <th>action_taken</th>\n",
       "      <th>state</th>\n",
       "      <th>state_code</th>\n",
       "      <th>county_code</th>\n",
       "      <th>applicant_income_000s</th>\n",
       "      <th>denial_reason_1</th>\n",
       "      <th>income_range</th>\n",
       "      <th>loan_amount_range</th>\n",
       "      <th>denial_rate_%</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>105.0</td>\n",
       "      <td>3</td>\n",
       "      <td>NC</td>\n",
       "      <td>37.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>(30-40]</td>\n",
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       "      <th>1</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>148.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NC</td>\n",
       "      <td>37.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>None</td>\n",
       "      <td>(50-60]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>9.280838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>151.0</td>\n",
       "      <td>1</td>\n",
       "      <td>TN</td>\n",
       "      <td>47.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>None</td>\n",
       "      <td>(50-60]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>9.280838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>103.0</td>\n",
       "      <td>6</td>\n",
       "      <td>SD</td>\n",
       "      <td>46.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>None</td>\n",
       "      <td>(20-30]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>18.801683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2</td>\n",
       "      <td>NC</td>\n",
       "      <td>37.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>None</td>\n",
       "      <td>(10-20]</td>\n",
       "      <td>(0-100]</td>\n",
       "      <td>25.923851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051385</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>42.0</td>\n",
       "      <td>3</td>\n",
       "      <td>IL</td>\n",
       "      <td>17.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>(40-50]</td>\n",
       "      <td>(0-100]</td>\n",
       "      <td>13.377404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051386</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>172.0</td>\n",
       "      <td>2</td>\n",
       "      <td>CT</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>None</td>\n",
       "      <td>(60-70]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>8.655376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051387</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>76.0</td>\n",
       "      <td>1</td>\n",
       "      <td>LA</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>None</td>\n",
       "      <td>(10-20]</td>\n",
       "      <td>(0-100]</td>\n",
       "      <td>25.923851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051388</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>99.0</td>\n",
       "      <td>1</td>\n",
       "      <td>LA</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>None</td>\n",
       "      <td>(20-30]</td>\n",
       "      <td>(0-100]</td>\n",
       "      <td>15.802986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051389</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>150.0</td>\n",
       "      <td>2</td>\n",
       "      <td>MI</td>\n",
       "      <td>26.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>None</td>\n",
       "      <td>(30-40]</td>\n",
       "      <td>(100-200]</td>\n",
       "      <td>11.772744</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9051390 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         year  loan_type  loan_purpose  loan_amount_000s  action_taken state  \\\n",
       "0        2007          2             1             105.0             3    NC   \n",
       "1        2007          2             1             148.0             2    NC   \n",
       "2        2007          2             1             151.0             1    TN   \n",
       "3        2007          2             1             103.0             6    SD   \n",
       "4        2007          2             1              30.0             2    NC   \n",
       "...       ...        ...           ...               ...           ...   ...   \n",
       "9051385  2017          2             1              42.0             3    IL   \n",
       "9051386  2017          2             1             172.0             2    CT   \n",
       "9051387  2017          2             1              76.0             1    LA   \n",
       "9051388  2017          2             1              99.0             1    LA   \n",
       "9051389  2017          2             1             150.0             2    MI   \n",
       "\n",
       "         state_code  county_code  applicant_income_000s denial_reason_1  \\\n",
       "0              37.0        159.0                   34.0             1.0   \n",
       "1              37.0        193.0                   60.0            None   \n",
       "2              47.0        157.0                   53.0            None   \n",
       "3              46.0         65.0                   23.0            None   \n",
       "4              37.0        165.0                   19.0            None   \n",
       "...             ...          ...                    ...             ...   \n",
       "9051385        17.0         39.0                   47.0             3.0   \n",
       "9051386         9.0          9.0                   70.0            None   \n",
       "9051387        22.0         17.0                   19.0            None   \n",
       "9051388        22.0         17.0                   28.0            None   \n",
       "9051389        26.0         99.0                   35.0            None   \n",
       "\n",
       "        income_range loan_amount_range  denial_rate_%  \n",
       "0            (30-40]         (100-200]      11.772744  \n",
       "1            (50-60]         (100-200]       9.280838  \n",
       "2            (50-60]         (100-200]       9.280838  \n",
       "3            (20-30]         (100-200]      18.801683  \n",
       "4            (10-20]           (0-100]      25.923851  \n",
       "...              ...               ...            ...  \n",
       "9051385      (40-50]           (0-100]      13.377404  \n",
       "9051386      (60-70]         (100-200]       8.655376  \n",
       "9051387      (10-20]           (0-100]      25.923851  \n",
       "9051388      (20-30]           (0-100]      15.802986  \n",
       "9051389      (30-40]         (100-200]      11.772744  \n",
       "\n",
       "[9051390 rows x 13 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ensure no columns have NaN values\n",
    "nan_columns = finaldf.columns[finaldf.isna().any()].tolist()\n",
    "print(\"Columns with NaN values:\", nan_columns)\n",
    "finaldf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c24bb636-bd8b-499f-8d54-d74b43815a00",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "columns_to_use = ['denial_rate_%', 'year', 'state_code', 'county_code', 'applicant_income_000s', 'loan_amount_000s']\n",
    "correlation_matrix = finaldf[columns_to_use].corr()\n",
    "\n",
    "# Plot heatmap\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\")\n",
    "plt.title(\"Correlation Heatmap\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "377c8003-3429-4d03-890d-0e7a48e10f8a",
   "metadata": {},
   "source": [
    "### Take log of denial rates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "2afcbd91-9be8-4064-b16d-48d30089a4e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# original = finaldf.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "31f288d6-ceeb-4233-a0e2-d02650caf841",
   "metadata": {},
   "outputs": [],
   "source": [
    "finaldf = original.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "274c4320-0c9a-480e-a91a-b763cc4eb623",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.545237594433302"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "finaldf['denial_rate_%'].skew()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "a2c3872e-1cf5-4f7a-b302-b63ee041f4b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "finaldf['denial_rate_%'] = np.log(finaldf['denial_rate_%'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c58a4393-e06d-49c5-ba02-c73ecf4d73e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.95637573561707"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "finaldf['denial_rate_%'].skew()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "ace1f60d-32a4-474a-ad5d-de0884fabd54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plotting histogram to see distribution of denial rates \n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(finaldf['denial_rate_%'], bins=20, color='skyblue', edgecolor='black')  # Adjust the number of bins as needed\n",
    "plt.xlabel('Denial Rate (%)')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Histogram of Denial Rates')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "7359e98d-e44a-4691-b3ec-d557ca2d5697",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mean denial rate over time scatterplot\n",
    "denial_rate_by_year = finaldf.groupby('year')['denial_rate_%'].mean()\n",
    "\n",
    "# Plotting the line plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(denial_rate_by_year.index, denial_rate_by_year.values, marker='o', linestyle='-')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Average Denial Rate')\n",
    "plt.title('Average Denial Rate per Year')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "284d58ad-bff3-4121-82c2-ec06fdf9b3cc",
   "metadata": {},
   "source": [
    "## Feature matrix and target vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d5440c0b-76fa-4972-9580-db6490c6e3a6",
   "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>denial_rate_%</th>\n",
       "      <th>year</th>\n",
       "      <th>applicant_income_000s</th>\n",
       "      <th>loan_amount_000s</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.227952</td>\n",
       "      <td>2007</td>\n",
       "      <td>52.0</td>\n",
       "      <td>178.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.760199</td>\n",
       "      <td>2007</td>\n",
       "      <td>22.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.760199</td>\n",
       "      <td>2007</td>\n",
       "      <td>22.0</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.227952</td>\n",
       "      <td>2007</td>\n",
       "      <td>55.0</td>\n",
       "      <td>165.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.465787</td>\n",
       "      <td>2007</td>\n",
       "      <td>37.0</td>\n",
       "      <td>130.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051385</th>\n",
       "      <td>2.593567</td>\n",
       "      <td>2017</td>\n",
       "      <td>42.0</td>\n",
       "      <td>96.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051386</th>\n",
       "      <td>2.227952</td>\n",
       "      <td>2017</td>\n",
       "      <td>53.0</td>\n",
       "      <td>158.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051387</th>\n",
       "      <td>2.227952</td>\n",
       "      <td>2017</td>\n",
       "      <td>55.0</td>\n",
       "      <td>102.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051388</th>\n",
       "      <td>2.614457</td>\n",
       "      <td>2017</td>\n",
       "      <td>64.0</td>\n",
       "      <td>333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9051389</th>\n",
       "      <td>2.383477</td>\n",
       "      <td>2017</td>\n",
       "      <td>59.0</td>\n",
       "      <td>285.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9051390 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         denial_rate_%  year  applicant_income_000s  loan_amount_000s\n",
       "0             2.227952  2007                   52.0             178.0\n",
       "1             2.760199  2007                   22.0              70.0\n",
       "2             2.760199  2007                   22.0              62.0\n",
       "3             2.227952  2007                   55.0             165.0\n",
       "4             2.465787  2007                   37.0             130.0\n",
       "...                ...   ...                    ...               ...\n",
       "9051385       2.593567  2017                   42.0              96.0\n",
       "9051386       2.227952  2017                   53.0             158.0\n",
       "9051387       2.227952  2017                   55.0             102.0\n",
       "9051388       2.614457  2017                   64.0             333.0\n",
       "9051389       2.383477  2017                   59.0             285.0\n",
       "\n",
       "[9051390 rows x 4 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = finaldf.loc[:, ['denial_rate_%', 'year', 'applicant_income_000s', 'loan_amount_000s']]\n",
    "# sort df by year\n",
    "df = df.sort_values(by='year')\n",
    "df.reset_index(drop=True, inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4a04e350-d89b-4284-b34b-2ec56d7b9209",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- FEATURE MATRIX --- \n",
      "         year  applicant_income_000s  loan_amount_000s\n",
      "0        2007                   52.0             178.0\n",
      "1        2007                   22.0              70.0\n",
      "2        2007                   22.0              62.0\n",
      "3        2007                   55.0             165.0\n",
      "4        2007                   37.0             130.0\n",
      "...       ...                    ...               ...\n",
      "9051385  2017                   42.0              96.0\n",
      "9051386  2017                   53.0             158.0\n",
      "9051387  2017                   55.0             102.0\n",
      "9051388  2017                   64.0             333.0\n",
      "9051389  2017                   59.0             285.0\n",
      "\n",
      "[9051390 rows x 3 columns] \n",
      "\n",
      "--- DENIAL RATE COLUMN (TARGET) --- \n",
      "0          2.227952\n",
      "1          2.760199\n",
      "2          2.760199\n",
      "3          2.227952\n",
      "4          2.465787\n",
      "             ...   \n",
      "9051385    2.593567\n",
      "9051386    2.227952\n",
      "9051387    2.227952\n",
      "9051388    2.614457\n",
      "9051389    2.383477\n",
      "Name: denial_rate_%, Length: 9051390, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# feature matrix dataframe\n",
    "X = df.iloc[:, 1:]\n",
    "print(\"--- FEATURE MATRIX --- \")\n",
    "print(X, \"\\n\")\n",
    "\n",
    "# target dataframe\n",
    "y = df.iloc[:, 0]\n",
    "print(\"--- DENIAL RATE COLUMN (TARGET) --- \")\n",
    "print(y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d91de32-f828-4a28-8558-f959ca93fd0e",
   "metadata": {},
   "source": [
    "# Training and Evaluation: XGBoost regression"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c4f92e6-299e-4b9f-9b84-f8cf1fac9f48",
   "metadata": {},
   "source": [
    "### Baseline models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "51519302-0685-4c7e-9191-881d7ea4f0e1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Baseline Mean Squared Error (MSE): 0.08888353742631684\n",
      "Baseline R-Squared Error (r2_score): 0.0\n",
      "Baseline Root Mean Squared Error (RMSE): 0.29813342218932254\n",
      "Baseline Mean Absolute Error (MAE): 0.222299327684476\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "\n",
    "# Calculate the mean of the target variable (housing prices)\n",
    "baseline_prediction = np.mean(y)\n",
    "\n",
    "# Create an array of baseline predictions with the same length as the true target values\n",
    "baseline_predictions = np.full_like(y, baseline_prediction)\n",
    "\n",
    "# Calculate metrics using the baseline predictions\n",
    "baseline_mse = mean_squared_error(y, baseline_predictions)\n",
    "baseline_absError = mean_absolute_error(y, baseline_predictions)\n",
    "baseline_rsquared = r2_score(y, baseline_predictions)\n",
    "\n",
    "print(\"Baseline Mean Squared Error (MSE):\", baseline_mse)\n",
    "print(\"Baseline R-Squared Error (r2_score):\", baseline_rsquared)\n",
    "print(\"Baseline Root Mean Squared Error (RMSE):\", np.sqrt(baseline_mse))\n",
    "print(\"Baseline Mean Absolute Error (MAE):\", baseline_absError)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "fa93afd5-62c7-435a-8f29-9f03a45e8d2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def baseline(y):\n",
    "    # Calculate the mean of the target variable (housing prices)\n",
    "    baseline_prediction = np.mean(y)\n",
    "    \n",
    "    # Create an array of baseline predictions with the same length as the true target values\n",
    "    baseline_predictions = np.full_like(y, baseline_prediction)\n",
    "    \n",
    "    # Calculate metrics using the baseline predictions\n",
    "    baseline_mse = mean_squared_error(y, baseline_predictions)\n",
    "    baseline_absError = mean_absolute_error(y, baseline_predictions)\n",
    "    baseline_rsquared = r2_score(y, baseline_predictions)\n",
    "    \n",
    "    print(\"Baseline MSE:\", baseline_mse)\n",
    "    print(\"Baseline R2:\", baseline_rsquared)\n",
    "    return(baseline_mse, baseline_rsquared)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a72cb6a-1cf9-4e92-b4e1-b467117198b8",
   "metadata": {},
   "source": [
    "### Graphs Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "1d93daa5-c786-41ea-8619-049d77cdd3b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Function to plot predicted vs. true values\n",
    "def plot_predicted_vs_true(y_true, y_pred):\n",
    "    plt.figure(figsize=(8, 6))\n",
    "\n",
    "    # set limits of x to match predictions range and y axis to match true values range\n",
    "    plt.xlim(y_pred.min(), y_pred.max())\n",
    "    plt.ylim(y_true.min(), y_true.max())\n",
    "    \n",
    "    # Plot true values in blue\n",
    "    plt.scatter(y_true, y_true, color='black', label='True Values')\n",
    "    \n",
    "    # Plot predicted values in green\n",
    "    plt.scatter(y_pred, y_true, color='blue', label='Predicted Values')\n",
    "    \n",
    "    # Plot a diagonal line representing perfect predictions\n",
    "    plt.plot([y_true.min(), y_true.max()], [y_true.min(), y_true.max()], color='red', linestyle='--', label='Perfect Predictions')\n",
    "    \n",
    "    plt.xlabel('Predicted')\n",
    "    plt.ylabel('True Values')\n",
    "    plt.title('Predicted vs. True Values')\n",
    "    plt.axis('equal')\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "65f263e3-fb3e-4a62-925f-a0513fc0d1b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_residuals_hist(true, y_pred):\n",
    "    residuals = true - y_pred\n",
    "\n",
    "    plt.figure(figsize=(10, 5))\n",
    "    plt.hist(residuals, bins=20, edgecolor = \"white\")\n",
    "    plt.xlabel('Residual')\n",
    "    plt.ylabel('Frequency')\n",
    "    plt.title('Distribution of Residuals')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "80e66a22-7897-46d6-9823-62a9d878933b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_residuals(true, y_pred):\n",
    "    residuals = true - y_pred\n",
    "\n",
    "    # Plot residuals against predicted values\n",
    "    plt.figure(figsize=(8, 6))\n",
    "    plt.scatter(y_pred, residuals, alpha=0.3)\n",
    "    plt.axhline(y=0, color='r', linestyle='--')\n",
    "    plt.xlabel('Predicted Values')\n",
    "    plt.ylabel('Residuals')\n",
    "    plt.title('Residual Plot')\n",
    "    plt.grid(True)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f73760b0-6216-4b7e-a7b3-640ca384655e",
   "metadata": {},
   "source": [
    "## Train and evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "f0d1f196-22f1-4e75-b637-d5b121373333",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import r2_score \n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.metrics import root_mean_squared_error\n",
    "\n",
    "# Define metrics to be used for evaluation.\n",
    "metrics = [mean_squared_error, root_mean_squared_error, mean_absolute_error, r2_score]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "ba893219-193c-4a3b-889b-fdf48b750331",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import necessary libraries\n",
    "import numpy as np\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.base import BaseEstimator\n",
    "from typing import List, Dict, Union, Callable\n",
    "from typing import Any\n",
    "\n",
    "# Will train model on years before test_years, and evaluate predictions within test_years.\n",
    "def train_test_model (\n",
    "        test_years, \n",
    "        model: Any,\n",
    "        X: np.ndarray,\n",
    "        y: np.ndarray,\n",
    "        metrics: Union[List[Callable], Callable] = mean_squared_error,\n",
    "    ):\n",
    "    \"\"\"\n",
    "    Perform rolling cross-validation on time-series data.\n",
    "\n",
    "    Parameters:\n",
    "    - model: The machine learning model to use (should have fit and predict methods)\n",
    "    - X: The feature matrix\n",
    "    - y: The target vector\n",
    "    - metrics: A metric or list of metrics to calculate\n",
    "\n",
    "    \"\"\"\n",
    "\n",
    "    \n",
    "    # If only a single metric is provided, put it in a list (otherwise, metrics is a Callable function, not a list -- causes issues)\n",
    "    if callable(metrics):\n",
    "        metrics = [metrics]\n",
    "\n",
    "    # Initialize dictionary to hold metric results -- key is metric name and value an empty list.\n",
    "    metric_results = {metric.__name__: [] for metric in metrics}\n",
    "\n",
    "    # Train model on years before first test year\n",
    "    train_index = df[df['year'] < test_years[0]].index\n",
    "    X_train, y_train = X[train_index], y[train_index]\n",
    "    model.fit(X_train, y_train)\n",
    "    \n",
    "    true_values = np.empty(0)\n",
    "    predicted_values = np.empty(0)\n",
    "    baseline_mse = []\n",
    "    baseline_r2 = []\n",
    "    \n",
    "    # Make predictions for future test years\n",
    "    for test_year in test_years:\n",
    "        test_index = df[df['year'] == test_year].index\n",
    "        \n",
    "        # Create train/test splits -- using array indexing to obtain rows in np.array X and y.\n",
    "        X_test, y_test = X[test_index], y[test_index]\n",
    "\n",
    "        # Make predictions on features of test subset.\n",
    "        # verified - predict():  If the model is trained with early stopping, then best_iteration is used automatically.\n",
    "        y_pred = model.predict(X_test)\n",
    "        \n",
    "        # Calculate and store metric(s) -- compare predictions with true output for housing price\n",
    "        for metric in metrics:\n",
    "            metric_value = metric(y_test, y_pred)\n",
    "            metric_results[metric.__name__].append(metric_value)\n",
    "\n",
    "        # save predictions and true values\n",
    "        true_values = np.concatenate((true_values, y_test))\n",
    "        predicted_values = np.concatenate((predicted_values, y_pred))\n",
    "\n",
    "        # print year\n",
    "        print(f\"\\n --- Year = {test_year} --- \")\n",
    "        # print MSE of predictions and true values of current year    \n",
    "        MSE = metric_results[\"mean_squared_error\"][-1]\n",
    "        print(f\"MSE: {MSE}\")\n",
    "\n",
    "        # print r-squared of predictions of current year\n",
    "        r_squared = metric_results[\"r2_score\"][-1]\n",
    "        print(f\"r2 score: {r_squared}\")\n",
    "\n",
    "        b_mse, b_r2 = baseline(y_test)\n",
    "        baseline_mse.append(b_mse)\n",
    "        baseline_r2.append(b_r2)\n",
    "\n",
    "\n",
    "    # Make plots to visualize performance\n",
    "    plot_predicted_vs_true(true_values, predicted_values)\n",
    "    plot_residuals_hist(true_values, predicted_values)\n",
    "    plot_residuals(true_values, predicted_values)\n",
    "\n",
    "    print(\"--- Metric Results Across Folds: ----\")\n",
    "    print(metric_results)\n",
    "\n",
    "    print(f\"True values: {y_test}\")\n",
    "    print(f\"Predictions: {y_pred}\")\n",
    "\n",
    "    # print mean MSE score of folds from cross validation\n",
    "    avg_MSE_score = np.mean(metric_results['mean_squared_error'])\n",
    "    print(f\"Average MSE score: {avg_MSE_score}\")\n",
    "\n",
    "    # print mean r-squared score of folds from cross validation\n",
    "    avg_rsquared_score = np.mean(metric_results['r2_score'])\n",
    "    print(f\"Average r2 score: {avg_rsquared_score}\")\n",
    "\n",
    "    # print average baseline scores\n",
    "    baseline_mse = np.array(baseline_mse)\n",
    "    baseline_r2 = np.array(baseline_r2)\n",
    "    \n",
    "    avg_baseline_mse = np.mean(baseline_mse)\n",
    "    print(f\"Average baseline MSE: {avg_baseline_mse}\")\n",
    "\n",
    "    avg_baseline_r2 = np.mean(baseline_r2)\n",
    "    print(f\"Average baseline r2: {avg_baseline_r2}\")\n",
    "    \n",
    "    return (true_values, predicted_values)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "932fa10a-c721-484b-adc1-78363f190a0c",
   "metadata": {},
   "source": [
    "### Test on 2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "1352a339-f9af-49d2-b3b2-a40ec61b3eb1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- Year = 2015 --- \n",
      "MSE: 0.049038598063627384\n",
      "r2 score: 0.4582821121997448\n",
      "Baseline MSE: 0.09052423626392993\n",
      "Baseline R2: 0.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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Otm3BggVG9+7djapVqxrh4eFGhQoVjB49ehiJiYku+wFGu3btPD6nYeQ8msEDDzzgdv+kpCSjb9++RtmyZY24uDjjtttuM9atW+d2ZIBff/3VuPnmm40KFSoYYWFhRqVKlYxrr73WePvttz2u76+//jLCw8MNwFi7dm227fPnz3f+HFWtWtUYOXKksWjRomzX0t31SE5ONu68806jYsWKRsmSJY2ePXsae/bsyTaagWGYox8MGTLEqFq1qhEWFmaUL1/eaN26tTF+/HjnPi+//LLRunVr46KLLjLCw8ON6tWrG0OHDjX27Nnj8esVkYKxGYZhWBWkRUREREQKQ6MZiIiIiEjAUpgVERERkYClMCsiIiIiAUthVkREREQClsKsiIiIiAQshVkRERERCVhBN2lCRkYGhw4dolSpUm6nbBQRERERaxmGwcmTJ6lSpQohIbm3vQZdmD106BDVqlWzugwRERERycP+/fuJj4/PdZ+gC7OlSpUCzDfHk2kxJWepqaksWbKELl26EBYWZnU5QU/Xw7/oevgXXQ//ouvhP/z1Wpw4cYJq1ao5c1tugi7MOroWxMbGKswWUmpqKtHR0cTGxvrVByBY6Xr4F10P/6Lr4V90PfyHv18LT7qE6gYwEREREQlYCrMiIiIiErAUZkVEREQkYCnMioiIiEjAUpgVERERkYClMCsiIiIiAUthVkREREQClsKsiIiIiAQshVkRERERCVgKsyIiIiISsBRmRURERCRgKcyKiIiISMBSmBURERGRgKUwKyJSxJKToXFjsNn87xERAVWrwj33wNmzVr9TIv7PZrNle0jRUpgVESlCdepA6dLw229WV+JeSgocOgTvvAPR0dC7t9UVifivnIKrAm3RKmF1ASJWSU+HxYvhqafM/3lXrgy9esEPP8A//8C//4JhQNmyUKWK+T/5mBi4/nrYsMF8vs1mBpPQULj6avj1V/jqK9i9G0qVgvbt4YYb4H//g7Vr4cgR8zmXXQYDB5rHnzMHTp6ENm3gwQchPNzqd0Z8pU4d2LXL6iry56uvzEA7b57VlYj4l7wCq81mwzCMIqomuCnMSlBKSIBbboHU1AvrDh82Q2pW+/bBxo0Xlj39n/rhw7BjB0yfnn3b77/Dxx+7rps3D0aOhEcegYkTPTuHBI7k5MALsg5ffWV2OYiKsroSEf/gacurAm3RUDcDCToJCXDTTa5B1l9kZMBLL8GoUVZXIt523XVWV1A4I0daXYGIf8gcZCOAaOtKkfMUZiWopKfDf/5jdRV5e/lls1uDBKaUFJg0yfx3XJzZteR//7O2psLascPqCkSslfXmrghgHvANCrRWU5iVoJKYaPaP9XcZGfDWW1ZXIQUxapQ5IsCzz1pdiXfVrWt1BSLWydqtwBFkuwFXAA2KviTJRGFWgkpSktUVeC5Q+1d6w9q11g9RldvQVXXquB+6atQos5tIcVRcX5dIXnILsqeB7sD6Iq9KMtMNYBJUKle2ugLP7dtnfl3tGN3g7Fl4+GFYvtxcf+WV0KKFOdLCRRfBggXQqRPceit07w5//23e0LZvH1SvDk2bQqVK5kgN5crB0aPmY8MGcwimNm3MLhhWj6bg7yPapKSYf2js2mUOXxUMevXSzV8SnDwJsom5PF83fxUNhVkJKm3amOEvELoafP21GSAeeQS2bzfvKM9szx747LMLy1FRZphdsAA+/9x13//9L/voCVl99ZXZsmjlaAr+HmSDUa9eGpZLgpOCbOBQNwMJKqGh8PrrVlfhOcfoBlmDrK/PZ8VoCmvXFv05JbvwcPMPvrvvhjNnFGQlOLkbeqsmZv9YBVn/o5ZZCTp9+sDcudnHmZULJk2CDh3MYHP4sPn4+2/Yuxf++gtKljRbue+/H376yeyLXLkytG4NP/7oupyYCCtWmMdt3958hIZmP+dVVxXhCxQXl14KmzZZXYWIf8hpDNltQEcgFgVZf6MwK0GpTx+zD2phZgDbsQNWroRz56x+Nd5nGNCjR+77fPUVPPqo67rQUHP4M4eQELO112H8eLO/7jvvmNdA/MPKlVZXIOIf3HUtqA84Zp/+NZfnvvbaa/wnEMZ+LIYUZiVohYaagS2v0OZOQgK8+ab3awp0mYMsuAZZh3/+MSetmDv3QqBNSPB9beJexYrmH2wiwS6nPrJXA12B1bk8V62x1lKfWZF8Sk+HYcOsriLwDRtmvpeOGdmk6FWsaHYhEQl2ud3sFQKE5fJcBVnrKcyK5FNiIhw4YHUVge/AAbMvrb6V8y5PRoSoXdtsIVeQFYH1611HiXU3asGqHJ6rIOsf1M1AJJ8CaeIFf7diRWAMk+bPateGnTutrkIkcLVo0cL57/wMv6Ug6z8UZkXyKZAmXvB348dbXUFg80WQTU83/8jwZAQKkUBWmHFkFWT9i8KsSD61aQPx8cWnq0F4uPnVdHEclaG4iY6G0qWhVi345huIi/Pu8RMSzPFl//nnwjqNQCHFkbvhtwwgjbyD7NatW31XmBSI+syK5FNoKEyZYnUV3mGzmTODzZlj/lszcGUXHw9paeZwZfl5JCebz09Ozv9zc3qcPg0HD5rDx/kiyN50k2uQdXCMQKFRJ6Q4yGkc2RTgJszRC3IbR7Z+/fo+qEoKQ2FWpAAcEy+UK2d1JQVXrRp88YX5Wvr0Mf9dtarVVfmfKVOK/1fs6enw0EN57+cYgUIkULnrWnBXpuUUch9LVt0L/JO6GYgUUJ8+5iQLjv6FGRnmV8D//mt2QYiNhVmzzClBs3L8Pg0JgRIlzAkZcvodGRVlbg8JMf9dpgzY7ea5/v4bTp0y9ytx/tNcrhxERJg1ZGSY+193HbRrB8eOQfnyZmht08Y1pDleT2KieZNbhQrm+swzgL3yillLILj6ali92v1Yt54Ipq/WExPNFt+8HDhg7tu+vc9LEvG5zH1kawFP5LLv1q1b1SLrxxRmRQohNBQ6djQf7hTlxAqpqbBwIfz5J4TlNihiLkJDcw8qr75asONa4YEH4Pvv4fXXzQB2+jRcdBFcfLH5GkNCzJD+119mcD161PxDJCQk+G56ys8IHRrNQ4qDrDd7Lcphv3Xr1tG8efOiKksKSGFWRDxWujQcOWJ1FZ6pXNm8ue2RR8yH5Cw/I3RoNA8JdJ6OWqAuBYFDfWZFxGMbN1pdgWcqVjS7UYhn2rTxrL90fLzeVwls+Rl+SwKHWmZFiqn0dPPr9d274b33zK/QDx++MGpBVBScOGH2tS1d2uxna7OZX7mvX3+hr294uPkoWxYuvdT8Gr6g/VCLyltvBU8XAW8IDYXXXst7WuFguBlOio++ffsyd+5c5/JNffpg79EDFi7UOLLFjMKsSDGUkGDeee7pWLj//pvztpQU83HqFOzb5536fCUkBD7/vPjctJWcDF26mH9ceDKKgM124aZCwzD7UWf9f3KZMnDZZeaYtZs2wcmTUKoUnD1r/tGS0w1+ISEwZIg5/XD16uaEDXfcYfYXV8AVf+Nu+K25CQncBnwYG0v3EycUZIsRhVmRYmb+fOjbN+fREQLRRReZocvdxA42G1SqBG+8YY7GUJBglZJitubu2mWGtPvvN4Odp/s5WsEPHrxwQ9m//0LNmuaYsG3bmnU59ktKMvueZh1RIrM6dczz5IdhmOfILfgeOwarskw0f+JE3sfOyDDDdXKyOQXxmjXw0UcQEwPvv198/oCQwJfTOLIAHwGLTpzgH8NwP3FCcfrFGUQUZkWKmcceC4wga7OZfTB377a2ZW/UKHPIscwB8NFHYcQImDgx7/2uv95sOc3aCh4VZU5Icd11Zrjt399czrxffLz51X3WIFiQIGuVU6fM7glz5yrQivXcjSP7KvAs4BiI41/MLggKrsWHbgATKWY8GS/UHxgG7N9vtlRaZdQoeOml7C2Z6enm+lGj8t7vq6/y7s5x4ID5/Kz7HTxotqJnnlkrOTlwgmxmDz2kCRXEWu6C7DzgPmA+kHlr5r60EvjUMisilrJi3FJPp+196SXz4SuOhiHHjVchIYE7pfDBg5pQQayTU5B1jFrwMKB22OJLYVZELFXU45b6c1j091Ei8qIJFcQKeQVZDb9V/KmbgUgx48l4of7AZoNq1Yp23FJ/DrLFgSZUkKJW0CB7U17j0ElAUZgVCUA//HBhvFjHIy7O3BYofWYBJk8uupu/FGR9q2pVTaggRcvdaAST8axF9osvvvBZXVL01M1AJMAUh1AWHQ3Nm5ujAMTFQevWMG2aeeNTtWqwcyf88ovZp7RTJ3Os1datYepUc1ipU6fMm42OHjX/bRhw/Lg5fJdDaChERprvl91u2UsNGq+9pvFmpejkNPzWs8BVwDA0IUIwUZgVCSDFIciCObtYYqL5eP753Pf95RfXIbI8lZ4Op08XrD7xnMaZlaKW2ziyh4Dm5Hyzl4Js8aQwKxIgfvjB6grE3xV2BjC73XzuuXMXJqhwdGMJCYGSJc2HZgATq7jrIzsXmA18en6dgmzwUZgVCRDqjxi84uNhzx6FRglu1apVc1nOfLPXNcAS4FgOz1WQLd4UZkVE/NzEibBiBXz/PezbBxUqwI8/wuHD5nS6N9xgjiRQseKFG7EUfKU4qVSpEkeOHHEuZx21oCcKssFMYVYkAGSeIUqCz4ABuW+fNMl1OadpckUCUV5BNrdRCxRkg4OG5hLxc+npMGyY1VVIIDlwIPs0uSKB6N9//1WQlTwpzIr4ucREM5yI5IdhwPDh5h9DIoGqZs2aLssDUZCV7BRmRfycpgiVgtq/3/xjSCRQncw8eDTwDvAiCrLiSn1mRfxcoEwRGhVl1lq6NFx1lXkT0qhRalW2mv4YkkAXAWQAqeeXH89lXwXZ4KQwK+Ln2rQxb+g5eDD7mKFgjgEaHw/bt8PixZCcDGFheR83JcUca7QwX0OHhpoTIISHu99+881my+DBg+ad93//bbYWZmSY45bWqAHXXls0M4ClpV3YFhtr/vfcOXO/qKgLzwkPN9efOGGO0+pYZ7OZY7CGhZmTMZw5U/D3rSgFyh9DIu44+sieA/6PC4HWHQXZ4KUwK+LnQkPNO9P79jUDVebf147xwydPzv9QTOHhMGIEvPRSwWsbMSLnIAtmTe3be3as4cM9O9+IEZ4dz5dSUswAnJFhdSW5q1ZN4xNLALPb+b1OHers3MlpoAHwWw67/ve//y3CwsTfqM+sSADo0we++MIcQzSz+HhzfUGHYJo4EUaOzB6EQ0PN9XPnmtOVZhUSYm4vyDSzxUF4ODzyiNVV5M5mK9gfOSJ+wW6H3r2dQbY7OQdZgKeeeqqIChN/pJZZkQDRpw/06mV+bZ+UZH597I3B8SdOhPHj4a23zK/5a9eG+++/0OLaqxcsWwazZ5tf6V9zDfznP7m3yAYDR5B/+WX/a6EtVQpq1jRre+stuPJKc9rZNm3MyRY8/flJTzcna1ixwly+5hr44w/z5yQjw+wfXaIEXH01bN5srjcMc72jVb59ewVqyd3atWu56qqrLiyvWsUVzz1n9puKjqbkokUktmuX4/PVvUAUZkUCSH6+ts+P8PCcv+YPDTX7rHbp4v3zBjrHHwKvv2725d2/3+xvaxgXWrQrVzb76NarZ/bx3b3bfL/r1jXXnzljhsZ//jFD5unT5jEcfaHvuAMeesgMoVlnANu5E44dy97v+eRJ2LTpwvKyZTBhgtminjl45za5QkIC3H23WVdBjR8P5crBO+9oAgdxLy4ujrNnzzqXI4B/2rY1F6KjYdEiaNsWwzB49tlnGTt2rHPf//73v2qRFUBhVkSCQHr6hRbtChXMm8FmzYLVq+Hff81wWaYM1K9vBry4ODOYHj1qfttZvTo0bQqVKpnr/v3XDIatW8Pvv5vBslQp6N8fqlQxu4O0bGk2LG3dmv2GvMz1eNrC3rGj+XBISDD7UeenUSprC/LBg+YxsnZVSUiAm27y/Li5+ecf81hz5yrQSt4aANdwfhzZM2dY5Qi2mF0JFF7FHYVZESnWEhLMGdTyGiLsn3/Mlk53/vc/+PjjvM/10UcX/l2nTvZpZnOqJ7/TzzpmhSvst6uGYbYADx9udicJDTWP/dBDhTuuO8OGXTiHyPr1692u34jZP9aGOY7s2rVrufLKK4uuMAlIugFMRIotR+ulFWPdHjxo/nf+/LzrcbSQejr9rDdnhTMM18kVHEOpeduBA5rAQS649tprnf+OAOpl2vYDFyZEyNyXViQnCrMiUix5q/WysB5/3Kwlt3oc6zydftYXEyE4junLSRY0gYMAfPnll85/RxgG84D/AZdZVZAEPL8JsxMmTMBmszE8j8EmV65cSfPmzYmMjOTiiy/m7bffLpoCRSSgeLP1sjAcLZJ51ZO1hTQ3vpgIwXFMX06yoAkcBKDP+f40ISkpfJaSQjcgCihtZVES0PwizP7888+88847XH755bnut3v3bnr06EGbNm3YsGEDTzzxBA899BBz584tokpFJFD4UytgUpLn9Xiyn2NWOMekGYVhs7lOrtCmTfbxjL0hPl4TOMgFEYbBlRMm0DkjwzmOrLu/43766acirkwCkeVh9tSpU9x6661Mnz6dMmXK5Lrv22+/TfXq1Zk8eTINGjTgzjvvZMiQIUxyd5eFiAQ1f2oFrFzZ83o82c8xKxwULtC6m0EuNBRee63gx8zJlCm6+UtMEcBnKSlU3LAh1yAL6OYv8Yjloxk88MADXHfddXTq1Inx48fnuu/q1avpkmWwy65du/Lee++RmppKmJsJ6c+dO8e5c+ecyydOnAAgNTWV1NTcZnmWvDjeP72P/kHXw1XLluaIAocOWdNvNirKvA61a6fSsqW5Lrd6bLYLQ3p5cgl79jSH1Bo1yjymJ9yNM/vCC+ax7HZzqLLDh80hyD7/3OzD+++/nh07J2XLmuG4Z0/PXpev6PNhjZSUFN599112795NrVq1uPO229jbpAkVN24kLSKCfuHhrEtLI8rNcz/66CNdryLgr5+N/NRjMyycOuOTTz7hueee4+effyYyMpL27dvTpEkTJk+e7Hb/evXqMWjQIJ544gnnuh9//JGrr76aQ4cOUdlNk8a4ceN45plnsq2fM2cO0dHRXnstIiIikrvQs2dp9d//Evfnn6wZO5Z/GjWyuiTxU2fOnGHAgAEkJycTGxub676Wtczu37+fYcOGsWTJEiIjIz1+ni3Ld2qOLJ51vcPo0aMZMWKEc/nEiRNUq1aNLl265PnmSO5SU1NZunQpnTt3dtsqLkVL18O9+fPhscd8M9xUbmrXTmX8+OzXw109mVtIPTV/Ptx+e/ZWXsevwtmzPTuet47j7/T5KFpjx45liqMvTBYlDYP/DhhAlUaNGDJkiMsMYA7Jycm+LlHO89fPhuObdE9YFmbXr1/P0aNHad68uXNdeno6q1at4o033uDcuXOEZulgValSJQ4fPuyy7ujRo5QoUYJy5cq5PU9ERAQRERHZ1oeFhfnVRQtkei/9i66Hqz59zMH6fT0DWMmS0Lhx9hnAsl6PrPV4OgNYZo5hvs6ccb8960QIvj5OINHnw/dSUlJ46aWXSD8/zlwE0AdwzDtyFhj1+ed82KsX7777rnN0A4CEhARuvPHGoi5Z8L/PRn5qsSzMduzYkU2ZJw8HBg8ezCWXXMJjjz2WLcgCtGrVivmZRyAHlixZQosWLfzqAogUN+6mXwXXgAhm0MtPOEtJgbfegh07zOB0xRXw998XwmL79uYjPd3cb9cuqF0b7r/fDKCeCg01j5NZ166ePz833bu7X59bdy939eRHfob5cpwn83udkWFOv7t8uWfHmTwZjh831zmuieP65jY1b17bVqwwH+6OK4Hp+++/p2OmeZcjgHlAN6AaMPH8ekfQvf7667Gwt6MUE5aF2VKlSnHppZe6rCtZsiTlypVzrh89ejQHDx7kgw8+AODee+/ljTfeYMSIEdx1112sXr2a9957j489mWdSRArE3fSrji9C/vnH/XM8mZ511Ch45ZXcJwkYPx4iI80glvnGpUcfhREjYOLEnJ9bnOV3mC9P3uvcPProhX+PH29e/3feMZdzmpo3r2133+3685P5uJ5O6yv+JWt3v8xB9jSwuuhLkiBh+WgGuUlKSmLfvn3O5Vq1arFw4UIefvhh3nzzTapUqcJrr73GTTfdZGGVIsWXY/rVrA0nOYVYB8f0rF984T6YjBoFL73kWQ12e/Z16ekXnh+MgTY/w3zl57321D//QE6/dg8eLNi2zMedO1eBNtDkFWRzG35LpLD8KsyucHzfdN6sWbOy7dOuXTt++eWXoilIJIgVZjpYw8i5v2VKitlK6A2vvGK26OWny0Fx4Jg04eDBnIf5io+Hq66CTp2Ktrbcfl48/VkaNqx49dMt7r7//nuXZU+CrLuuhCIFZfmkCSLinwo7HWxO07O+9VbBv+7OytGXNtjkNmlC5okQpk3z3ntdlBxTAEtgyNxH1oZnLbIPPvhgUZQmQUJhVkTc8tZ0sFmPs2uXd47rq+MFij59zG4cWaeejY+/0L0jkN8bf5qOWDxnAAuAU+TcIjty5Ej++9//FnltUnz5VTcDEfEf3poONutxatf2znF9dbxAktcwXwV9b3r3hnnzvFVlwfjTdMSSP28Cc4HDbradOXOG8PBwv5ttSgKbWmZFxC1Hv8wc5iPJk80G1apdGMbL4f77vdcXMjTUPF4wcwzz1b9/9qGtCvJeh4TAnDnmtbdKfHz2nxvxX8sXLeIVoEymde6C7LJlywgPtg7uUiQUZkXErdz6ZeYlc7/NrGEqPNwcVssbRowIvpu/8qMg7/Ujj0BU1IVrn5ec+uzmtS03U6bo5q+AYbfTfvJkHga+zGPXa6+9tigqkiCkMCsiOcqpX2a5chfGmnUnc79NdyZOhJEjPQsskZFma2FmoaHm84NxWK788vS9DglxfU/79DGHyHJ3ncuVM7fNneu+z64n23I7roblChB2u9knZfFiiI7mqVx21cQI4kvqMysiucqpXyYUbgawiRPNYbWKYgawYJf1vXbMALZxI0RHQ9u28OCD2d9Tx7XPbaau3Prs5rVNM4AFsCxBlkWLWNW2bbYZwJYtW6YWWfE5hVkRyVNO068WZkpWMMPT8OGend+T/SRnnr7XWYWGQseO5iOn7Tn9HOS1Lbfjih9zE2Rp2xYwuxKoFVaKmroZiIiIiOfuu89tkBWxisKsiIiIeO6JJ6B+fQVZ8RvqZiAiIiKeq1sXfv8dSihCiH9Qy6yIiIjkzNFH9ttvL6xTkBU/op9GERERcS/zzV6JibBnjzkUhogfUcusiIiIZJd11IIvv1SQFb+kMCsiIiKuchl+S8TfKMyKiIjIBQqyEmAUZkVEROSCN99UkJWAohvARERE5ILhw2H7drj1VgVZCQgKsyIiIsHOboewMHOe4dBQmDbN6opEPKZuBiIiIsHM0Ud2yBBIT7e6GpF8U5gVEREJVplv9vriC9i61eqKRPJNYVZERCQYuRu1oFEjq6sSyTeFWRERkWCj4bekGFGYFRERCSYKslLMKMyKiIgEk/XrYflyBVkpNjQ0l4iISDC5+mpISIBSpRRkpVhQmBURESnu7HY4cgRq1DCXr7vO2npEvEjdDERERIozRx/Za66BnTutrkbE6xRmRUREiqvMN3v9+y8cPmx1RSJepzArIiJSHLkbteCaa6yuSsTrFGZFRESKGw2/JUFEYVZERKQ4UZCVIKMwKyIiUpycOWP2jVWQlSChoblERESKk7JlYdky2LEDWra0uhoRn1PLrIiISKCz2+Hrry8slyunICtBQ2FWREQkkDn6yPbqBdOmWV2NSJFTmBUREQlUWW/2atDA6opEipzCrIiISCDSqAUigMKsiIhI4FGQFXFSmBUREQkkaWkKsiKZKMyKiIgEkhIloFUrBVmR8zTOrBRL770Hd95pbQ02G1SrBhERULUqREXBrl0QHg633QYPP2z+W0QkJzabLds6wzDg6adh0CCoUaPoixLxMwqzUuy4+d1vCcOAffvMf+/Y4brt8cfNx8iRMHFi0dcmIv4vc5CNAJ4Cnj+/3jAMBVmR8xRmpVjxlyDrqZdeMv+rQCsimWUNsvOAbkBjoCeZAq2IqM+sFB/vvWd1BQUzaRKkpFhdhYj4i5yC7GlgYg77iQQztcxKsWF1H9mCMgx46y0YPtzqSsSX0tMhMREOHoS//oLy5c2+1G3aQGiouX3FCvj+e9i/3+xv3a6due3wYffPyekcSUlQocKFY65bZ94r1LYtPPig+mr7s507dzr/nTXIdgcSLalKxL8pzIr4gV27rK5AfCkhAYYNgwMHsm+Lj4f+/WHGDPjnH9dtzz/v/njx8TBlCvTp49k5HL76yuyn/cgj6trij0JCQpxdBxRkRTynbgYifqB2basrEF+ZPx/69s05ZB44YPadzhpkc3PggHnMhARzOSEh93NklpFhnm/UKM/PJ76XOcgCzEBBVsRTCrNSbLz7rtUVFIzNBvffb3UV4iuPPWZ2JfGF4cPN/tbDhuX/HC+/rL7a/mLnzp3ZbuaaCOxFQVbEEwqzUmwMHWp1BQXz6KPqw1icHTzom+Mahtm39q23PGuRzSojw3yuWK9hw4bZ1v0K1CX3IKvRDERMCrNSrATa73aNMyuFVZj+1uqr7R9SU1OJAD4DWmden8tzFGRFLtANYFLsGIZmAJPgUZj+1uqr7R9iSpTg87Q0ugHXABcD9lz2V5AVcaUwK8XS0KGB2+1AipeqVSHTaEteY7OZoxrcf7/Z//Xgwfx9MxESor7afsFu53CrVpRMTOQ00I+cg+yOHTuoU6dOERYnEhjUzUBExIdefNF3M9NNnmy27k+ZYi7n5zyPPKJvBixnt0Pv3s4gm9vNXjabTUFWJAcKsyIiPtSzJ3zxhdmK6k61ambf6XLlPD9mtWrmMR3jzPbpYy5XrZr3c0NC1FfbL5wPsixeDNHRlFy5kh9y+GvEZrORkZFRtPWJBBB1MxAR8bE+faBXr9xnAJswoXAzgGU+h2YACwAvveQMsixaBG3bkpGRwc6dO2nYsCGpqamEhYWxefNmtciK5EFhVkSkCISGQvv2uW/v2NF8ePMcXboU/HjiQ6NGwR9/mB2X27Z1rq5Tpw4pGgBYJF8UZkVERIpCSgqEhZmdmyMi4JNPrK5IpFhQn1kRERFfs9vhhhvMMfk0tJaIVynMioiI+FLmm72mT/fNWG0iQUxhVkRExFeyjFrAokVQt67VVYkUKwqzIiIivuAuyGa62UtEvENhVkRExNsUZEWKjMKsiIiItyUmwtKlCrIiRUBDc4mIiHhb584we7Y59ZuCrIhPKcyKiIh4g90OyclQsaK5PGCAtfWIBAl1MxARESksRx/Ztm3h0CGrqxEJKgqzIiIihZH5Zq8DB2DPHqsrEgkqCrMiIiIF5W7Ugtatra5KJKgozIqIiBSEht8S8QsKsyIiIvmlICviNxRmRURE8uv4cfjzTwVZET+goblERETyq1IlWL7cvNnr6qutrkYkqKllVkRExBN2OyxbdmG5alUFWRE/oDArIiKSF0cf2S5d4NNPra5GRDJRmBUREclN5pu9IiOhcmWrKxKRTBRmRUREcqJRC0T8nsKsiIiIOwqyIgFBYVZERCSrlBQFWZEAoTArIiKSVVgY1KunICsSABRmRUREsrLZYMoU2LhRQVbEzynMioiIgNlHdvx4s4sBmIG2bl1raxKRPGkGMBERkcw3e23eDHPmWF2RiHhILbMiIhLcso5acO+9VlckIvmgMCsiIsFLw2+JBDyFWRERCU4KsiLFgsKsiIgEp9tuU5AVKQYUZkVEJDgNGwYVKyrIigQ4jWYgIiLBqU0b+PNPs2VWRAKWpS2zU6dO5fLLLyc2NpbY2FhatWrFokWLctx/xYoV2Gy2bI+tW7cWYdUiIhKIQlJSCL39dvj11wsrFWRFAp6lLbPx8fG88MIL1KlTB4D333+fXr16sWHDBho1apTj87Zt20ZsbKxzuXz58j6vVUREApjdzpUTJhCyYQOsWQPbt0N4uNVViYgXWBpme/bs6bL83HPPMXXqVNasWZNrmK1QoQKlS5f2cXUiIlIs2O2E9u1LxQ0bMKKjsX3wgYKsSDHiN31m09PT+fzzzzl9+jStWrXKdd+mTZtit9tp2LAhTz75JB06dMhx33PnznHu3Dnn8okTJwBITU0lNTXVO8UHKcf7p/fRP+h6+BddDz9xPsiGLFlCWkQEaV9+SWirVqDrYil9PvyHv16L/NRjMwzD8GEtedq0aROtWrXCbrcTExPDnDlz6NGjh9t9t23bxqpVq2jevDnnzp1j9uzZvP3226xYsYK2OdyJOm7cOJ555pls6+fMmUO0+kqJiBRbISkpXDlhAhU3bCAtIoI1Y8fyTy7f+omI/zhz5gwDBgwgOTnZpWupO5aH2ZSUFPbt28fx48eZO3cu7777LitXrqRhw4YePb9nz57YbDa+/vprt9vdtcxWq1aNv//+O883R3KXmprK0qVL6dy5M2FhYVaXE/R0PfyLrof1QsaMIfSllzCiozn35ZcsPntW18NP6PPhP/z1Wpw4cYKLLrrIozBreTeD8PBw5w1gLVq04Oeff2bKlClMmzbNo+e3bNmSDz/8MMftERERREREZFsfFhbmVxctkOm99C+6Hv5F18NCY8fC779je/xxs2vBwoW6Hn5G18N/+Nu1yE8tlofZrAzDcGlJzcuGDRuoXLmyDysSEZGAkZYGJc7/ry0mBhYuNP/tZ/0BRcR7LB1n9oknniAxMZE9e/awadMmxowZw4oVK7j11lsBGD16NHfccYdz/8mTJzNv3jx27NjBH3/8wejRo5k7dy4PPvigVS9BpNjp0wdsNv9/PPUUpKRY/W6J1TKPOR5ps/FtWBg8+6zVZYlIEbK0ZfbIkSPcfvvtJCUlERcXx+WXX863335L586dAUhKSmLfvn3O/VNSUnj00Uc5ePAgUVFRNGrUiG+++SbHG8ZEJH9sNqsr8Nz48eZj5EiYONHqasQKtkw/sBHAPKAbcHrsWEoOHAjVq1tUmYgUJUvD7HvvvZfr9lmzZrksjxo1ilGjRvmwIpHgFUhBNrOXXjL/q0AbXHIMskB3ILFGDSy+v1lEioil3QxExD/06WN1BYUzaZK6HASTPIOsm/1EpPhSmBURvvzS6goKxzDgrbesrkKKWm5BVkSCh8KsiBQLu3ZZXYEUta4oyIqIHw7NJSJSELVrW12BFLWvgfuAP1CQFQlmapkVEW680eoKCsdmg/vvt7oKKRJ2O6UzLb6NgqxIsFOYFRESEqyuoHAefRTCw62uQnzObofevTnWrBllPNhdoxmIBAeFWREBzJuoApHGmQ0S54MsixfD1q38u2ZNrrsryIoED4VZEXEyjMDpcvDkk3DunIJsUMgcZKOjYdEiuOqqHAOrgqxIcNENYCLiItC7HEgx4y7Itm3r3KzgKiJqmRUREf+UR5AVEQGFWRER8VeHD8PvvyvIikiu1M1ARET8U82asHy5GWrbtLG6GhHxU2qZFRER/2G3w+rVF5br1lWQFZFc5TvM7t+/nwMHDjiX165dy/Dhw3nnnXe8WpiIiAQZRx/Z9u3NbgUiIh7Id5gdMGAAy5cvB+Dw4cN07tyZtWvX8sQTT/Df//7X6wWKiEgQyHyzV4kSULKk1RWJSIDId5j9/fffufLKKwH47LPPuPTSS/nxxx+ZM2cOs2bN8nZ9IiJS3GnUAhEphHyH2dTUVCIiIgD47rvvuOGGGwC45JJLSEpK8m51IiJSvCnIikgh5TvMNmrUiLfffpvExESWLl1Kt27dADh06BDlypXzeoEiIlJMKciKiBfkO8y++OKLTJs2jfbt29O/f38aN24MwNdff+3sfiAiIpKnsDC46CIFWREplHyPM9u+fXv+/vtvTpw4QZkyZZzr7777bqKjo71anIiIFGOhofD++zB6NDRqZHU1IhKgCjTOrGEYrF+/nmnTpnHy5EkAwsPDFWZFRCR3dju88gqkp5vLoaEKsiJSKPlumd27dy/dunVj3759nDt3js6dO1OqVCkmTpyI3W7n7bff9kWdIiIS6DL3kd2+HfT/CxHxgny3zA4bNowWLVpw7NgxoqKinOtvvPFGli1b5tXiRESkmMh6s9eAAVZXJCLFRL5bZn/44Qf+97//ER4e7rK+Ro0aHDx40GuFiYhIMaFRC0TEh/LdMpuRkUG6o69TJgcOHKBUqVJeKUpERIoJBVkR8bF8h9nOnTszefJk57LNZuPUqVM8/fTT9OjRw5u1iYhIIDMM6NdPQVZEfCrfYfbVV19l5cqVNGzYELvdzoABA6hZsyYHDx7kxRdf9EWNIiISiGw2uOsuKFNGQVZEfCbffWarVKnCxo0b+fjjj/nll1/IyMhg6NCh3HrrrS43hImIiHD99bBnD8TGWl2JiBRT+Q6zAFFRUQwZMoQhQ4Z4ux4REQlkdjvcdx+MGQN16pjrFGRFxIfyHWY/+OCDXLffcccdBS5GREQCWOabvVavht9/hxIFajMREfFYvn/LDBs2zGU5NTWVM2fOOGcAU5gVkaKQng6JiZCUBJUrQ5s25mRShdnfsc/Bg/DXX1C+PFStmvexg9GpU6e4/fbb2bVrF7Vr12b29OnE3HbbhZu93nlHQVZEikS+f9McO3Ys27odO3Zw3333MXLkSK8UJSKSm4QEGDYMDhy4sC4+HqZMgT59Cra/u308OXYwuvLKK/n555+dy9s3beKHefPoBhq1QESKXL5HM3Cnbt26vPDCC9labUVEvC0hAfr2zR46Dx401yck5H//nPZxOHDA/bGDUdYgGwHMA7oBp4F7qldXkBWRIuWVMAsQGhrKoUOHvHU4EZFs0tPN1lPDyL7NsW74cHM/T/cfNgweesj9Pln3z3zsYHTq1CmXIAvwAheCbHfgna1bOXXqlAXViUiwync3g6+//tpl2TAMkpKSeOONN7j66qu9VpiISFaJiTm3noIZOPfvN/dr396z/XPbnlXmYwej22+/Pdu6Z4HmwBggMdN+X375ZRFWJiLBLN9htnfv3i7LNpuN8uXLc+211/Lyyy97qy4RkWySkvK3n6f7+6KG4mjXrl0A2ABHQ/a/QNZOBY79RESKQr7DbEZGhi/qEBHJU+XK+dvP0/19UUNxVLt2bbZv2sSXwHxgai77iYgUFa/1mRUR8bU2bcyRBWw299ttNnMorddeM//doYP3a+jQwTx2Xo+4OHP/uLjs2yIiYN8+79fmCzabzflYNG8e8zD7xr4IVMzhObNnzy6y+kREPGqZHTFihMcHfOWVVwpcjIhIbkJDzSGy+vY1Q2Hmm7YcywcPgr9310xJgRo1zGFYU1OtriZntkx/NWQdteA64Iib51xxxRXExMQURXkiIoCHYXbDhg0eHcyWU3OJiIiX9OkDX3yRfUzYiAhzAqpAkpYGYWH+GWhzC7LduXCzV2ZXXHEFa9euLYryREScPAqzy5cv93UdIiIe69MHevW6MKNXmTLQvbvVVRVMWprZ5aB6dasruSA/Qfayyy4zZwCbPVstsiJiCc01KCIBKTT0whBZDz5oaSmF1qgRnDxpdRXu3UTuLbK//fZbkdckIpJZgcLszz//zOeff86+fftISUlx2ZagKXJEpIjt2GF1BYVz5ozVFeRsDlAd+B/uuxaIiFgt36MZfPLJJ1x99dVs3ryZL7/8ktTUVDZv3sz3339PnOP2XRGRIlS3rtUVFE50tNUVuIoAMpf0AgqyIuK/8h1mn3/+eV599VUWLFhAeHg4U6ZMYcuWLdx8881U96dOXyISNF56yeoKCuePP6yuIBO7nXnAQlwDrYiIv8p3mN21axfXXXcdABEREZw+fRqbzcbDDz/MO++84/UCRUTyEhVl3hAWiEqU8KObv+x26N2bbkALoEEeuxuZx0YTEbFIvsNs2bJlOXn+ToWqVavy+++/A3D8+HHO+HPHLxEp1ubNC7xA61fjzJ4PsixeDNHRlFy5kvW57K4gKyL+It9htk2bNixduhSAm2++mWHDhnHXXXfRv39/Onbs6PUCRUQ8NW+eeTNVnz5WV5K78HDYu9d/gyyLFkHbtjkGVgVZEfEnHo9msHHjRpo0acIbb7yB/fzI5KNHjyYsLIwffviBPn368NRTT/msUBERT0RFwdy5VldhBtWFCyE52ZwYwW/lEGQdFFxFxN95HGabNWtG06ZNufPOOxkwYAAAISEhjBo1ilGjRvmsQBER8aE9e+Dnn90GWRGRQOBxN4P//e9/NGvWjMcff5zKlStz2223aWYwEZFAd8klsGyZgqyIBCyPw2yrVq2YPn06hw8fZurUqRw4cIBOnTpRu3ZtnnvuOQ5kniRdRET8l90OGzdeWG7SREFWRAJWvm8Ai4qKYuDAgaxYsYLt27fTv39/pk2bRq1atejRo4cvahQREW9x9JFt0wZ++MHqakRECi3fYTaz2rVr8/jjjzNmzBhiY2NZvHixt+oS8Vuffgo2m389wsPNxjWAzz6DFSsgPd3Kd0n8gc1mc3lE2mwXbvbKyDAfIiIBzuMbwLJauXIlM2bMYO7cuYSGhnLzzTczdOhQb9Ym4ndsNqsrcC81FXbvNv99111w9izEx8OUKf4/TJX4hi3LD2sEMA9yHLVARCRQ5atldv/+/Tz77LPUrl2bDh06sGvXLl5//XUOHTrE9OnTadmypa/qFLGcvwbZnBw4AH37QkKC1ZVIUcspyHYDTgNtz5xRkBWRYsPjltnOnTuzfPlyypcvzx133MGQIUOoX7++L2sT8Ruffmp1BQVjGDB8uDkzVmio1dVIUcgryHYHEs/vpzFkRaQ48DjMRkVFMXfuXK6//npC9X9FCTK33GJ1BQW3fz8kJkL79lZXIlYwgDRcg6yISHHicZj9+uuvfVmHiPhQUpLVFYhVUoCbgAbArxbXIiLiC4UazUBEAkPlylZXIEUpArgr03IKCrIiUnwpzIp44JNPrK6g4KpVM4cUleDg6CP7DjDB2lJERIqEwqyIB/r1s7qCgrHZYPJk3fwVNOx27F27Om/2WpjLrrr5S0SKC4VZEQ8F2v/7q1WDL77QOLNBwzGz1/lxZHO72UtBVkSKkwKF2dmzZ3P11VdTpUoV9u7dC8DkyZP56quvvFqciL8xDP/schAWBrVqmf+ePh2WLzcnUVCQDRJZgiyLFrEqh8CqICsixU2+w+zUqVMZMWIEPXr04Pjx46SfnzOzdOnSTJ482dv1ifidfv3MUOtPj5QU2LjRrO/mm81huNS1IEgYBtx0k9uZvQzDyPYQESlu8h1mX3/9daZPn86YMWNcxptt0aIFmzZt8mpxIiKSB5sNBgyA2FhNUSsiQcnjcWYddu/eTdOmTbOtj4iI4PTp014pSkRE8uHWW6FbNyhXzupKRESKXL5bZmvVqsVGx/eZmSxatIiGDRt6oyYREcmN3Q733QeHDl1YpyArIkEq3y2zI0eO5IEHHsBut2MYBmvXruXjjz9mwoQJvPvuu76oUUREHDLf7LV2Lfz8M4RoYBoRCV75DrODBw8mLS2NUaNGcebMGQYMGEDVqlWZMmUKtwTyBPYiIv4u66gFr76qICsiQS/fYRbgrrvu4q677uLvv/8mIyODChUqeLsuERHJzM3wW7rZS0SkgGHW4aKLLvJWHSIikhMFWRGRHOU7zNaqVQubzZbj9j///LNQBYmISBbDhyvIiojkIN9hdvjw4S7LqampbNiwgW+//ZaRI0d6qy4REXF46inzZq/JkxVkRUSyyHeYHTZsmNv1b775JuvWrSt0QSIigjmzl+NbsKpVYd063ewlIuKG134zdu/enblz53rrcCIiwctuh+uvh08+ubBOQVZExC2v/Xb84osvKFu2rLcOJyISnBw3ey1cCPfcA//+a3VFIiJ+Ld/dDJo2bepyA5hhGBw+fJi//vqLt956y6vFiYgElayjFsyfD2okEBHJVb7DbO/evV2WQ0JCKF++PO3bt+eSSy7xVl0iIsFFw2+JiBRIvsJsWloaNWvWpGvXrlSqVMlXNYmIBBcFWRGRAstXn9kSJUpw3333ce7cOV/VIyISfN5/X0FWRKSA8t3N4KqrrmLDhg3UqFHDF/WIiASfu++GP/+E665TkBURyad8h9n777+fRx55hAMHDtC8eXNKlizpsv3yyy/3WnEiIsWW3W6OIxsRYf73xRetrkhEJCB5HGaHDBnC5MmT6devHwAPPfSQc5vNZsMwDGw2G+np6d6vUkSkOHH0kQ0Ph88/NwOtiIgUiMdh9v333+eFF15g9+7dvqxHRKR4y3qz15Yt0KSJ1VWJiAQsj8OsYRgA6isrIlJQ7kYtUJAVESmUfI1mkHmyBBERyQcNvyUi4hP5ugGsXr16eQbafzX1ooiIKwVZERGfyVeYfeaZZ4iLi/NVLSIixdOWLfDDDwqyIiI+kK8we8stt1ChQgWvnXzq1KlMnTqVPXv2ANCoUSPGjh1L9+7dc3zOypUrGTFiBH/88QdVqlRh1KhR3HvvvV6rSUTE65o2NUNsRoaCrIiIl3ncZ9YX/WXj4+N54YUXWLduHevWrePaa6+lV69e/PHHH2733717Nz169KBNmzZs2LCBJ554goceeoi5c+d6vTYRkUKx24k5ePDCcps20K6ddfWIiBRT+R7NwJt69uzpsvzcc88xdepU1qxZQ6NGjbLt//bbb1O9enUmT54MQIMGDVi3bh2TJk3ipptucnuOc+fOuUy/e+LECQBSU1NJTU310isJTo73T++jf9D18CN2OyF9+nDNTz+R1qwZNG9udUVBT58P/6Lr4T/89Vrkpx6Pw2xGRkaBivFUeno6n3/+OadPn6ZVq1Zu91m9ejVdunRxWde1a1fee+89UlNTCQsLy/acCRMm8Mwzz2Rbv2TJEqKjo71TfJBbunSp1SVIJroe1gpJSeHKCROouGEDRkQEP3//Pf8cOWJ1WXKePh/+RdfDf/jbtThz5ozH++Z7Oltv27RpE61atcJutxMTE8OXX35Jw4YN3e57+PBhKlas6LKuYsWKpKWl8ffff1O5cuVszxk9ejQjRoxwLp84cYJq1arRpUsXYmNjvftigkxqaipLly6lc+fObv+QkKKl6+EH7HZC+/YlZMMGjOho1owZQ7Phw3U9/IA+H/5F18N/+Ou1cHyT7gnLw2z9+vXZuHEjx48fZ+7cuQwcOJCVK1fmGGiz9t11dH/IqU9vREQEEW6migwLC/OrixbI9F76F10Pi9jt8H//B0uWQHQ06fPn88/Jk7oefkbXw7/oevgPf7sW+aklX5Mm+EJ4eDh16tShRYsWTJgwgcaNGzNlyhS3+1aqVInDhw+7rDt69CglSpSgXLlyRVGuiEh2bsaRNdq0sboqEZGgYHmYzcowDJcbtjJr1apVtj4dS5YsoUWLFn7114SIBJm0NDhzRuPIiohYwNJuBk888QTdu3enWrVqnDx5kk8++YQVK1bw7bffAmZ/14MHD/LBBx8AcO+99/LGG28wYsQI7rrrLlavXs17773Hxx9/bOXLEJFgFxMDCxeakyNccYXV1YiIBBVLw+yRI0e4/fbbSUpKIi4ujssvv5xvv/2Wzp07A5CUlMS+ffuc+9eqVYuFCxfy8MMP8+abb1KlShVee+21HIflEhHxGbsdEhJgwABzOSZGQVZExAKWhtn33nsv1+2zZs3Ktq5du3b88ssvPqpIRMQDmfvI7t8Pjz1mdUUiIkHL7/rMioj4taw3e+UwLraIiBQNy4fmEpHg4oOZsX3ijz+gYUPXYf8igHlAN9DNXiIifkItsyJSZAIlyAI0agQ2W7pzOXOQPQ0KsiIifkJhVkSKRCAFWZOB+SsyDRuuQbY7YGvXzrrSRETESWFWRHwu8IIsgKPoEAzimQ+cwgyyiY49AvOFiYgUKwqzIiI5sp1/7OItoA4XgqyIiPgHhVkRETcisPMKD1OGf3HcK3vE2pJERMQNjWYgIpJFBHbm0ZtuLKY562nH0ryfJCIillDLrIhIJpmD7GmieZJnMTsYiIiIP1KYFRGfMwyrK/BM1iDbnYUkcg1wwO3+RqC8MBGRYkxhVkSKhL/nvuxBdtH5IOu+N5aCrIiIf1CYFZEi48/5byr3uQTZt/9oi2GEut1XQVZExH/oBjARKVJ+mwN3PAE9V1PynXdYlWlmLwVXERH/pjArIsHLMC7M6FC3Lvz+O5TQr0URkUCibgYiEpzsdujdGxYturBOQVZEJODoN7eIBB9HkF28GH74AXbvhthYq6sSEZECUMusiASXzEE2Ohq+/FJBVkQkgCnMikjwyBpkFy2CTDd7iYhI4FGYFZHgoCArIlIsKcyKSHB4800FWRGRYkg3gIlIcBg+HLZvh1tvVZAVESlGFGZFpPiy2yEsDEJDzce0aVZXJCIiXqZuBiJSPDn6yA4eDOnpVlcjIiI+ojArIsVP5pu95s6FrVutrkhERHxEYVZEihd3oxY0amR1VSIi4iMKsyJSfGj4LRGRoKMwKyLFg4KsiEhQUpgVkeLhl19g+XIFWRGRIKOhuUSkeGjdGhISoFQpBVkRkSCiMCsigctuhyNHoEYNc/m666ytR0REipy6GYhIYHL0kb3mGti50+pqRETEIgqzIhJ4Mt/s9e+/cPiw1RWJiIhFFGZFJLC4G7XgmmusrkpERCyiMCsigUPDb4mISBYKsyISGBRkRUTEDYVZEfGapUvBZvPGIyPbo0zUWX5ZfJTTRNP2zCJs7doW6hwiIlI8aGguEfEK7wbE7H9nH6cMnfiOemznJ1oW+gw2GxhGoQ8jIiIWU8usiBSar1o6I7DTk6+dy8co65Ug66AWWhGRwKcwKyKFsnSpb44bgZ159OZrenEPb/vmJCjQiogEOoVZESmULl28f0xHkO3GYk4TzWYaev8kIiJSLCjMiohfyRpku7OIRDRqgYiIuKcwKyJ+Q0FWRETyS2FWRAplyRLvHCeUNAVZERHJN4VZESmUzp29c5x0SrCaVkUeZDU8l4hIYFOYFZFC81Yg/C9P05DNCrIiIuIxhVkR8QrDyH+XgwjsPMcTlOSUc90+agAZbh7epSArIlI8KMyKiNd07myGRI8eZ+3Yu/bmCSZwqke/LNtD3DzycWwPHiIiUjwozIpI0bPboXdvWLwYoqPhscesrkhERAKUwqyIFK2sQXbRImirUQtERKRgFGZFpOgoyIqIiJcpzIpI0RkyREFWRES8SmFWRIrOqFFQvbqCrIiIeE0JqwsQkSDSpAns2AHh4VZXIiIixYRaZkXEd+x26NsXfvjhwjoFWRER8SK1zIqIb2S+2et//4M//4SoKKurEhGRYkYtsyLifVlHLfj0UwVZERHxCYVZKbRjx6BhQwgJAZvNvx9vvmn1u1U82Ww25yPSZuPbqCiNWiAiIkVCYVYKrWZN2LIlMKYIffBBM9T6s4IG9bg48/lxcb7/o6BJE0hOvhBiHSKAeUA34DQoyIqIiM8pzEqB1a1rdQUF56+B1l/ryurXX6F0aQPY5rJ+JBeCbHfA1q5d0RcnIiJBRWFWCuTff+HoUaurKBx/63IQKEHWVV0yB9qJwCeYQTbx/DpbYL4wEREJEAqzUiDFocHtwQetruCCwMx7ZtFh1ADMm7tSgP5cCLIiIiK+pjArBXLokNUVeIcVN6EVJxGc42t68SrXWV2KiIgEKYVZKZAqVayuIHAVl0AbgZ159KYbi7mLb6hjdUEiIhKUFGalQFautLqCwBbogTZzkD1NNN15kZ1WFyUiIkFJM4BJgZQtCxUqWF1FYLPZAmM4s6yyB9mFJNIjx/2NQHyRIiISMNQyKwW2Y4fVFRQfgZL33AfZysAZt/sryIqIiK8pzEqh7dkDDRoE/lfnVguE3HcNP9CZpVmCbH23+yrIiohIUVA3Aym0MmVg82bfnycYwrJh+NPrzMi2ZhnXchsfcJDk810LsrfIKsSKiEhRUpiVgOA/Ac/3CpoFU1Nh4UJzmtmwsMLVkHWK2jjAMUfGJ4U7tIiIiFepm4GIhbw5fm1cnHnMuLjCHCcDmy0DSAfSieA08+jCKupRmf3O9Tk/DI/Oc+mlFrzZIiJSLCnMikgmIc5HBCnMow/dWEI8B6jFXpft7h+e+eOP4GptFxER31GYFZFsso9asIgfudrr51GgFRGRwlKYFREX7oJsIm19dj51ORARkcJQmJWAoBvki0ZRB1kwuxyIiIgUlMKsBAwFWt8rzXEu5s8iC7IiIiKFpaG5JKD41zisxc8RKtGB5dRkj0/6yIqIiHibWmYl4BiG/zy++srqd6PwIrDTke+cy4eoWqRBtlGjIjuViIgUQwqzIoVwww1WV1A4jj6yi+lKP4umQ/j9d0tOKyIixYTCrEghBWpf3sw3e9mJ5BBViryGQH3vRETEfyjMinhBoHU5yHnUgowcHt7VqJGCrIiIeIduABPxkhtusDagpabCwoWQnAxhYbnsaLdD796weDFER1Ny0SJWtXWMWqC/b0VEJLDo/1wiwSQlxSXIsmgRtNXwWyIiErgUZkWCSVgY1KunICsiIsWGwqxIMLHZYMoU2LhRQVZERIoFhVmR4s5uh/Hj4dw5c9lmg7p1ra1JRETES3QDmEhxlvlmrz/+gI8/troiERERr1LLrEhxlWXUAu67z+qKREREvE5hVqQ4yhpkdbOXiIgUUwqzIsWNgqyIiAQRS8PshAkTuOKKKyhVqhQVKlSgd+/ebNu2LdfnrFixApvNlu2xdevWIqpaxL+FDhyoICsiIkHD0jC7cuVKHnjgAdasWcPSpUtJS0ujS5cunD59Os/nbtu2jaSkJOejru7OFgEg46GHoGJFBVkREQkKlo5m8O2337osz5w5kwoVKrB+/Xra5vE/4QoVKlC6dOk8z3Hu3DnOOYYkAk6cOAFAamoqqamp+S9anBzvn95H/+C4DilXXomxbZvZMqtrYxl9PvyLrod/0fXwH/56LfJTj80wrJxN3tXOnTupW7cumzZt4tJLL3W7z4oVK+jQoQM1a9bEbrfTsGFDnnzySTp06OB2/3HjxvHMM89kWz9nzhyio6O9Wr+IFUJSUmj6+uvs6NOHE7VqWV2OiIhIoZ05c4YBAwaQnJxMbGxsrvv6TZg1DINevXpx7NgxEhMTc9xv27ZtrFq1iubNm3Pu3Dlmz57N22+/zYoVK9y25rprma1WrRp///13nm+O5C41NZWlS5fSuXNnwsLCrC4nONnthPbtS8iSJWRUr86Cl1+mU48euh5+QJ8P/6Lr4V90PfyHv16LEydOcNFFF3kUZv1m0oQHH3yQ3377jR9++CHX/erXr0/9+vWdy61atWL//v1MmjTJbZiNiIggIiIi2/qwsDC/umiBTO9l0bDZbC7LEYC9a1dYsgSio8mYORPj5Mlcr0eWQ/i1HTugTh2rqyg8fT78i66Hf9H18B/+di3yU4tfDM31n//8h6+//prly5cTHx+f7+e3bNmSHTt2+KAyEf/gLsjOA5dRC4w2bfI4hq+q8426dSHEL35DiYiIP7P0fxWGYfDggw+SkJDA999/T60C9vfbsGEDlStX9nJ1Iv4hpyDbDTgNtD1zJs9RCwItyDoYhgKtiIjkztJuBg888ABz5szhq6++olSpUhw+fBiAuLg4oqKiABg9ejQHDx7kgw8+AGDy5MnUrFmTRo0akZKSwocffsjcuXOZO3euZa9DxFeyBlmAsVwIst2BxPP7paSk5HAMHxZYBAwDdu4sHl0ORETE+ywNs1OnTgWgffv2LutnzpzJoEGDAEhKSmLfvn3ObSkpKTz66KMcPHiQqKgoGjVqxDfffEOPHj2KqmwRSz0PNAZexAyywaBhQ8ghq4uISJCzNMx6MpDCrFmzXJZHjRrFqFGjfFSRiH8KBdLP//s0cL2FtVjBz4Y/FBERP6LeaCJ+LgJYADxpdSEW8qMbbEVExM8ozIr4scw3ez0OVLe0Guts3mx1BSIi4q8UZkX8ld2OvWtXl5u99uWwa25ddvxjWpSCs9l085eIiORMYVbEH9nt0Lu3cxxZx6gF7njS9zxQA63NBhkZVlchIiL+TGFWxN9kCbIsWsSqHNJofmajDrRAu2OHgqyIiOTNb6azFZHzFi92CbKOCRHyE1xzEmiBVkREJC8KsyL+plcvmDrVHFw1j5m9REREgp3CrIg/sNvh7FkoU8Zcvvdea+sRkYCQnp5OagAOxJyamkqJEiWw2+2kp6fn/QTxGSuvRXh4OCFemLNcYVbEao4+skePwnffQdmyVlckIn7OMAwOHz7M8ePHrS6lQAzDoFKlSuzfv9/ttN1SdKy8FiEhIdSqVYvw8PBCHUdhVsRKWW/22r4dWra0uioR8XOOIFuhQgWio6MDLhBmZGRw6tQpYmJivNIyJwVn1bXIyMjg0KFDJCUlUb169UL9DCvMiljFzagFCrIikpf09HRnkC1XrpzV5RRIRkYGKSkpREZGKsxazMprUb58eQ4dOkRaWhphhZjqUT9BIpnYbL58ZDgfkbYzfBvVCxYv5jTRtD2zCFu7tvk63vffW/1uiYgVHH1ko6OjLa5EpHAc3QsK21dXYVbkPN9/SxcChBBBCvPoQzeWcJpourOIRPI/akHHjkVRs4j4q0DrWiCSlbd+hhVmRSjaUFiJw1zK74UKspnp/2ciIhLMFGYl6BV1GNxLTTqwnG58W+gg66AuByIiRad9+/YMHz7c6jLkPIVZkSIQgZ1W/Ohc3kldfqCN147fsaPXDiUi4nU2m83lERoaSpkyZQgNDcVmszFo0KAiqaNnz5506tTJ7bbVq1djs9n45ZdfiqQW8R6NZiDiYxHYmUdvOrCcG/mSRfSwuiQREdLT00lMTCQpKYnKlSvTpk0bQkNDfXKupKQk578//fRTxo4dy9q1aylVqhQhISFERUW57J+amlqou9tzMnToUPr06cPevXupUaOGy7YZM2bQpEkTmjVr5vXzim+pZVbEhxxBthuLSaMEp4ixuiQRERISEqhZsyYdOnRgwIABdOjQgZo1a5KQkOCT81WqVMn5iIuLw2azUbFiRSpVqoTdbqd06dJ89tlntG/fnsjISD788EPGjRtHkyZNXI4zefJkatas6bJu5syZNGjQgMjISC655BLeeuutHOu4/vrrqVChArNmzXJZf+bMGT799FOGDh3KP//8Q//+/YmPjyc6OprLLruMjz/+ONfXZ7PZmDdvnsu60qVLu5zn4MGD9OvXjzJlylCuXDl69erFnj17nNtXrFjBlVdeScmSJSldujRXX301e/fuzfW8YlKYFfGRzEHWWzd75WTZMp8cVkSKoYSEBPr27cuBAwdc1h88eJC+ffv6LNDm5bHHHuOhhx5iy5YtdO3a1aPnTJ8+nTFjxvDcc8+xZcsWnn/+eZ566inef/99t/uXKFGCO+64g1mzZmEYhnP9559/TkpKCrfeeit2u53mzZuzYMECfv/9d+6++25uv/12fvrppwK/tjNnztChQwdiYmJYtWoVP/zwAzExMXTr1o2UlBTS0tLo3bs37dq147fffmP16tXcfffdGrHCQ+pmIEHPMLx/E1hRBlmAa6+FAJyeXUSKWHp6OsOGDXMJcg6GYWCz2Rg+fDi9evXyWZeDnAwfPpw+ffrk6znPPvssL7/8svN5tWrVYvPmzUybNo2BAwe6fc6QIUN46aWXWLFiBR06dADMLgZ9+vShTJkylClThkcffdS5/3/+8x++/fZbPv/8c6666qoCvbZPPvmEkJAQ3n33XWdAnTlzJqVLl2bFihW0aNGC5ORkrr/+emrXrg1AgwYNCnSuYKSWWRHMQOstRR1kvVm7iBRviYmJ2VpkMzMMg/3795OYmFiEVZlatGiRr/3/+usv9u/fz9ChQ4mJiXE+xo8fz65du3J83iWXXELr1q2ZMWMGALt27SIxMZEhQ4YAZuB/7rnnuPzyyylXrhwxMTEsWbKEffv2Ffi1rV+/np07d1KqVClnnWXLlsVut7Nr1y7Kli3LoEGD6Nq1Kz179mTKlCku/Ywld2qZFTnPWy20qYTxF+XdBNkMN3sX/O/JZcvMFlkREU95GpCsCFIlS5Z0WQ4JCcnWgpya6SuojAzzd+r06dOztZjm1ao8dOhQHnzwQd58801mzpxJjRo16Hh+WJiXX36ZV199lcmTJ3PZZZdRsmRJhg8fTkpKSo7Hs9lsedbavHlzPvroo2zPLV++PGC21D700EN8++23fPrppzz55JMsXbqUlprmPE8KsyKZeKeVMxTSZ8HWx1nVqFGm9foiRESsVblyZa/u50vly5fn8OHDzu4PABs3bnRur1ixIlWrVuXPP//k1ltvzdexb775ZoYNG8acOXN4//33ueuuu5znSExMpFevXtx2222AGUR37NiR69f+5cuXd/kDYMeOHZw5c8a53KxZMz799FMqVKhAbGxsjsdp2rQpTZs2ZfTo0bRq1Yo5c+YozHpA/3cV8Qa7HV55BRzzS4eGgkuQFRGxXps2bYiPj8/xxiKbzUa1atVo08Z742AXVPv27fnrr7+YOHEiu3bt4s0332TRokUu+4wbN44JEyYwZcoUtm/fzqZNm5g5cyavvPJKrseOiYmhX79+PPHEExw6dMhlnNs6deqwdOlSfvzxR7Zs2cI999zD4cOHcz3etddeyxtvvMEvv/zCunXruPfee12GFrv11lu56KKL6NWrF4mJiezevZuVK1cybNgwDhw4wO7duxk9ejSrV69m7969LFmyhO3bt6vfrIcUZkUKy26H3r3hkUfggQesrkZEJEehoaFMmTIFIFugdSxPnjy5yG/+cqdBgwa89dZbvPnmmzRu3Ji1a9e63JgFcOedd/Luu+8ya9YsLrvsMtq1a8esWbOoVatWnscfOnQox44do1OnTlSvXt25/qmnnqJZs2Z07dqV9u3bU6lSJXr37p3rsV5++WWqVatG27ZtGTBgAI8++ijR0dHO7dHR0axatYrq1avTp08fGjRowJAhQzh79iyxsbFER0ezdetWbrrpJurVq8fdd9/Ngw8+yD333JO/Ny1I2Qx3tzQWYydOnCAuLo7k5ORcm/olb6mpqSxcuJAePXr4ZHDrgOAIsosXQ3Q0LFoEbX13s1dudD38i66HfylO18Nut7N7925q1apFZGRkgY6RkJDgbBV0qFatGpMnT873iAIFkZGRwYkTJ4iNjSUkRO1qVrLyWuT2s5yfvKY+syIF5UdBVkQkP/r06eP8yrsoZgAT8SWFWZGCUJAVkQAXGhpK+/btrS5DpNDUti+SX4YB/fopyIqIiPgBhVmRXNhstmwPbDa45x4oWzbfQdbxdF884uLMc8TFeed4IiIigUDdDERykNvQNYZhwO7dkI+bCAMtINpsml1MRET8n1pmRdzIGmQjgBlA7czbi3GQdQjUukVEJHgozIpk4S7IzgMGAwuA0Bz2y/l43qvNCoFev4iIFG8KsyK5cATZbsBp4G4g3cqCRERExIXCrPgVX94glfcjA5stAzOuphPBaebR5XyQjaY7y0kkHUgD3rf0fRIRERGTwqz4Deu/zg5xPiJIYR596MaS80F2EYm0P789FLgdM9SKiIi/GTduHE2aNHEuDxo0KM8paX1hz5492Gw2Nm7c6NPz1KxZk8mTJ/v0HP5MYVb8gvVB1tUERtONxZmCrLvht0L8rm4REX81aNAg5xCHERERNGnShJEjR3L69Gmfn3vKlCnMmjXLo32LKoACXHbZZdx5551ut3388ceEhYVx5MgRn9cR6BRmxXL+GAif5SkSuSaXIGs7/4B69XI/VqAPbxXo9YuIe+npsGIFfPyx+d/0IrghoFu3biQlJbFz507GjBnD1KlTefTRR93um5qa6rXzxsXFUbp0aa8dz1uGDh3KZ599xpkzZ7JtmzFjBtdffz0VK1a0oLLAojArcp6NDOe/j1GWtqzKIci62rEj72MHaiAM1LpFJHcJCVCzJnToAAMGmP+tWdNc70sRERFUqlSJatWq8X//938MGDCAefPmARe6BsyYMYOLL76YiIgIDMMgOTmZu+++mwoVKhAbG8u1117Lr7/+6nLcF154gYoVK1KqVCmGDh2K3W532Z61m0FGRgYvvvgiderUISIigurVq/Pcc88BUKtWLQCaNm2KzWZzmfJ35syZNGjQgMjISC655BLeeustl/OsXbuWpk2bEhkZSYsWLdiwYUOu78ftt9/OuXPn+Pzzz13W79u3j++//56hQ4eya9cuevXqRcWKFYmJieGKK67gu+++y/GY7lqWjx8/js1mY8WKFc51mzdvpkePHsTGxlKvXj3uuOMO/v77b+f2L774gssuu4yoqCjKlStHp06diqQVvSAUZkWACOx8w3Xcz5uZ1nq3yTjQgmGg1SsinklIgL594cAB1/UHD5rrfR1oM4uKinJpgd25cyefffYZc+fOdYax6667jsOHD7Nw4ULWr19Ps2bN6NixI//++y8An332GU8//TTPPfcc69ato3LlytlCZlajR4/mxRdf5KmnnmLz5s3MmTPH2QK6du1aAL777juSkpJIOP+GTJ8+nTFjxvDcc8+xZcsWnn/+eZ566inef9+8Ifj06dNcf/311K9fn/Xr1zNu3LgcW50dypUrR69evZg5c6bL+pkzZ1KxYkW6d+/OqVOn6NGjB9999x0bNmyga9eu9OzZk3379nn4LmeXlJREu3btaNKkCWvXruWLL77gyJEj3Hzzzc7t/fv3Z8iQIWzZsoUVK1bQp08fc8Igf2QEmeTkZAMwkpOTrS4l4KWkpBjz5s0zUlJSCnUcMzZZ94jgrLGIroYBxklKGhVJyvcx/IG3rod4R1Fej7Q0w1i+3DDmzDH/m5bmH8cq6Lmyrj93rvA1FafPx9mzZ43NmzcbZ8+ezfdz09IMIz4+599lNpthVKvmm+s+cOBAo1evXoZhGEZ6errx3XffGeXKlTNuvvlmwzAM4+mnnzbCwsKMo0ePOp+zbNkyIzY21rDb7S7Hql27tjFt2jTDMAyjVatWxr333uuy/aqrrjIaN27s9twnTpwwIiIijOnTp7utc/fu3QZgbNiwwWV9tWrVjDlz5rise/bZZ41WrVoZhmEY06ZNM8qWLWucPn3auX3q1Kluj5XZokWLDJvNZuzatcswDMPIyMgwatasaYwePTrH5zRs2NB4/fXXncs1atQwXn311RzrP3bsmAEYy5cvNwzDMJ566imjS5cuhmGY1+LYsWPG3r17DcDYtm2bsX79egMw9uzZk2MN3pDbz3J+8pqms5WgFoGdefR23uzVg4UcoVK+jlG3ro+KE/FAQgIMG+bayhYfD1OmQJ8+1h2roOfq39/sw5l5fWioa39OX9UUDBITs7fIZmYYsH+/uV+mb9e9ZsGCBcTExJCWlkZqaio33HADr7/+unN7jRo1KF++vHN5/fr1nDp1inLlyrkc5+zZs+zatQuALVu2cO+997psb9WqFcuXL3dbw5YtWzh37hwdO3b0uO6//vqL/fv3M3ToUO666y7n+rS0NOLi4pzHbdy4MdHR0S515KVLly7Ex8czc+ZMnn32Wb7//nv27NnD4MGDAbPF95lnnmHBggUcOnSItLQ0zp49W6iW2fXr17N8+XJiYmKybdu1axddunShY8eOXHbZZXTt2pUuXbrQt29fypQpU+Bz+pLCrFjOMKy5CSxrkM35Zq/c7djh/fr99Zsc8S+Or4uz/rw4vi7+4gvPA583j1XQcx04AC+9lH3/rDcm+aKmYJGU5N398qtDhw5MnTqV0NBQYmJiKFeuHCEhF3o8lixZ0mX/jIwMKleu7NLX06GgN3RFRUXl+zkZGeY9FdOnT+eqq65y2RYaas4LaRTwF3dISAiDBg1i1qxZPPPMM8ycOZO2bdtS93xLyciRI1m8eDGTJk2iTp06REVF0bdvX1JSUnI8XtZ6st5Ml5GRQc+ePXnxxRfJyMjg1KlTxMTEEBISQuXKlQkNDWXp0qX8+OOPLFmyhNdff50xY8bw008/OfsU+xP1mRW/UNThzVtB1lf8cYQH8S/p6WbLprvPjmPd8OGe3aHuzWMV5lye8nZNwaRyZe/ul18lS5akTp061KhRg7CwsDz3b9asGYcPH6ZEiRLUqVPH5XHRRRcB0KBBA9asWePyvKzLmdWtW5eoqCiWLVvmdnt4eDgA6Zl+uCpWrEjVqlX5888/s9XhCHcNGzbk119/5ezZsx7VkdngwYM5cOAACQkJJCQkMHToUOe2xMREBg0axI033shll11GpUqV2LNnT47HcrRsJ2X6iyTrMGPNmjXjjz/+oGbNmtSpU4eLL77Y+Xocf1DYbDauvvpqnnnmGTZs2EB4eDhffvmlR6+nqCnMit/wXaDNAIzzD9NNzPXbIOugQCu5yc/XxUV5rMKey1PerCmYtGljdtPI6feLzQbVqpn7+YNOnTrRqlUrevfuzeLFi9mzZw8//vgjTz75JOvWrQNg2LBhzJgxgxkzZrB9+3aefvpp/vjjjxyPGRkZyWOPPcaoUaP44IMP2LVrF2vWrOG9994DoEKFCkRFRfHtt99y5MgRkpOTAXO0hQkTJjBlyhS2b9/Opk2bmDlzJq+88goAAwYMICQkhKFDh7J582YWLlzIpEmTPHqdtWrV4tprr+Xuu+8mLCyMvn37OrfVqVOHhIQENm7cyK+//sqAAQOcLcXuREVF0bJlS1544QU2b97MqlWrePLJJ132eeCBB/j333/p378/a9euZc+ePSxZsoQhQ4aQnp7OTz/9xPPPP8+6devYt28fCQkJ/PXXXzRo0MCj11PUFGbFr3j79i74nAujElz47T2HWxnN834bZB0UaCUn3vy6uCi/evb219e++jq8uAoNNfsbQ/bfL47lyZPN/fyBzWZj4cKFtG3bliFDhlCvXj1uueUW9uzZ4xx9oF+/fowdO5bHHnuM5s2bs3fvXu67775cj/vUU0/xyCOPMHbsWBo0aEC/fv04evQoACVKlOC1115j2rRpVKlShV69egFw55138u677zJr1iwuu+wy2rVrx6xZs5wtszExMcyfP5/NmzfTtGlTxowZw4svvujxax06dCjHjh3jlltucel3++qrr1KmTBlat25Nz5496dq1K82aNcv1WDNmzCA1NZUWLVowbNgwxo8f77K9SpUq/O9//yM9PZ3u3bvTunVrHn74YeLi4ggJCSE2NpZVq1bRo0cP6tWrx5NPPsnLL79M9+7dPX49RclmFLSTR4A6ceIEcXFxJCcnExsba3U5AS01NZWFCxfSo0cPj74usoLNlo45/azZtaAEaZwme4d3f+bpJzQQrkcw8fX1WLHCHBs0L8uX530jjzePlRdPz+UpT2sqTp8Pu93O7t27qVWrFpGRkQU6hrsb8KpVM4NsUfRDzsjI4MSJE8TGxrr0mZWiZ+W1yO1nOT95TTeASTFnNjU4+shGcZbr+CbgAq1IVo6viw8edP8Hj81mbvfk62JvHquw5/KUN2sKRn36QK9eZjeNpCSzj2ybNv7TIiuSH/pzSIo5w+Vmrxas4xK2Wl2USKF58+viovzqObdzecofvw4PRKGhZqt2//7mf/VeSqBSmJViLYJPso1asJ4WVpcl4hV9+pjDU1Wt6ro+Pj7/w1Z581gFPVe1ajBypHnOzLKGLF/UJCKBS90MpPiy27F3nQ2LHUF2oV/f7OVOcPVol4Lw5tfFRfnVc27nmjDBdX3r1vDjj/o6XETcU5iV4sluh969YfFiiI6m+5kFCrJSbDm+Lva3YxX0XO7WF1VNIhJ41M1Aiqe9e+HnnyE6GhYtYpXRAfgCSMccd9bx8E8KsiIiIp5Ry6wUT/Xrw/ffQ3IytDVbZA3j/ywuSkRERLxNYVaKD7sdtm6FJk3M5caNLS1HREREfE/dDKR4cPSRbdMGfvjB6mpERESkiCjMSpF47jlzbEjvPTKcj0jbGb6N6mWOWnAqg7ZtMgp17BjNpyAiElDeeecdqlWrRkhICJMnT7a6HJ9YsWIFNpuN48ePAzBr1ixKly5dqGPOmjWLsmXLFr44iynMis/ZbPDkk94+aggQQgQpzKMP3VjiHEe2sKMWnD5d8MHcRUTEvUGDBmGz2bDZbERERNCkSRNGjhzJ6dOnC3XcEydO8OCDD/LYY49x8OBB7r777kLX6mlQnDVrlvM12Ww2KleuzM0338zu3bsLXUNe+vXrx/bt2z3ev2bNmtmCfr9+/di6NfAnElKYFZ/yZSjMPLOXt4JsZgq0IiLe1a1bN5KSkti5cydjxoxh6tSpPProowU6lmEYpKWlsW/fPlJTU7nuuuuoXLky0dHRXq46d7GxsSQlJXHo0CHmzJnDxo0bueGGG0hPT8+xZm+IioqiQoUKlh/DHyjMis8895zvju3rIOugLgciEjBOn875Ybd7vu/Zs57tWwARERFUqlSJatWq8X//938MGDCAefPmAWbQmzhxIhdffDFRUVE0btyYL774wvlcx9fsixcvpkWLFkRERDB79mwuu+wyAC6++GJsNht79uwBYP78+TRv3pzIyEguvvhinnnmGZcgefz4ce6++24qVqxIZGQkl156KQsWLGDFihUMHjyY5ORkZ4vruHHjcnxNNpuNSpUqUblyZTp06MDTTz/N77//zs6dO93WnJiYmOdrBVi4cCH16tUjKiqKDh06OF+Xg7vW46+//poWLVoQGRnJRRddRJ/z0+S1b9+evXv38vDDDztfk+MYWbsZTJ06ldq1axMeHk79+vWZPXt2ttf77rvvcuONNxIdHU3dunX5+uuvnduPHTvGrbfeSvny5YmKiqJu3brMnDkzx/fPGzSagfiM97sWXGBgI4VwnwZZKPDvaxGRopfbX989esA331xYrlABzpxxv2+7drBixYXlmjXh77+z7+eFAbGjoqJITU0F4MknnyQhIYGpU6dSt25dVq1axW233Ub58uVp166d8zmjRo1i0qRJXHzxxURGRvLdd9/RqVMn1q5dS7Vq1ShfvjyLFy/mtttu47XXXqNNmzbs2rXL2f3g6aefJiMjg+7du3Py5Ek+/PBDateuzebNmwkNDaV169ZMnjyZsWPHsm3bNgBi8tGyERUVBeB8XVlrLl26dJ6vdf/+/fTp04d7772X++67j3Xr1vHII4/ket5vvvmGPn36MGbMGGbPnk1KSgrfnL/mCQkJNG7cmLvvvpu77rorx2N8+eWXDBs2jMmTJ9OpUycWLFjA4MGDiY+Pp0OHDs79nnnmGSZOnMhLL73E66+/zq233srevXspW7YsTz31FJs3b2bRokVcdNFF7Ny5k7NZ/0DyNiPIJCcnG4CRnJxsdSkBLyUlxZg3b56RkpLidrv5m853j3DsRmM2+Pw8gSKv6yFFS9fDvxSn63H27Flj8+bNxtmzZ1035PaLrEcP132jo3Pet107130vusgrvxwHDhxo9OrVyzAMw0hPTze+++47o1y5csbNN99snDp1yoiMjDR+/PFHl+cMHTrU6N+/v2EYhrF8+XIDMObNm+eyz4YNGwzA2L17t3NdmzZtjOeff95lv9mzZxuVK1c2DMMwFi9ebISEhBjbtm1zW+vMmTONuLi4PF9T1v32799vtGzZ0oiPjzfOnTvntmZPXuvo0aONBg0aGBkZGc7tjz32mAEYx44dc3vuVq1aGbfeemuOtdaoUcN49dVX3dZ/7NgxIz093WjdurVx1113uezzf//3f0aPTD8/gPHkk0+6vB6bzWYsWrTIMAzD6NmzpzF48OAc68gsx59lI395TS2zErBSiOBXmlhdhoiIfzh1KudtoaGuy0eP5rxvSJYeiFm+3i6MBQsWEBMTQ1paGqmpqdxwww28/vrrbN68GbvdTufOnV32T0lJoWnTpi7rWrRoked51q9fz88//8xzmfq7paenY7fbOXPmDBs3biQ+Pp569eoV+jUlJycTExODYRicOXOGZs2akZCQQHh4uNuaPXmtW7ZsoWXLls7uAACtWrXKtY6NGzfm2urqiS1btmS7ge7qq69mypQpLusuv/xy579LlixJqVKlOHr+Z+q+++7jpptu4pdffqFLly707t2b1q1bF6quvCjMis+MH+/brgZFoWRJqysQEfFQfn5h+WrfPHTo0IGpU6cSGhpKTEwM5cqVIyQkxHn3/zfffEPVqlVdnhMREZGlnLzrycjI4JlnnnH2Gc0sMjLS2RXAG0qVKsUvv/xCSEgIFStWdFtf5nUZGeZU6rm9VqMAXTi89ZpsWe5+Ngwj27qwsLBsz3G8ru7du7N3716++eYbvvvuOzp27MgDDzzApEmTvFKfOwqz4jNjxgR+mM2toUNERPKnZMmS1KlTh4yMDE6cOOFc37BhQyIiIti3b59L/9iCatasGdu2baNOnTput19++eUcOHCA7du3u22dDQ8PdzsagTshISE5nscdT15rw4YNnTfGOaxZsybX415++eUsW7aMwYMHu93uyWtq0KABP/zwA3fccYdz3Y8//kiDBg1yfV5W5cuXZ9CgQQwaNIg2bdowcuRIhVkJXIYRuENceeHeBhER8UCpUqV49NFHefjhh8nIyOCaa67hxIkT/Pjjj8TExDBw4MB8HW/s2LFcf/31zlETQkJC+O2339i0aRPjx4+nXbt2tG3blptuuolXXnmFOnXqsHXrVmw2G926daNmzZqcOnWKZcuW0bhxY6Kjo7025Jcnr/Xee+/l5ZdfZsSIEdxzzz2sX7+eWbNm5Xrcp59+mo4dO1K7dm1uueUW0tLSWLRoEaNGjQLMcWZXrVrFLbfcQkREBBdddFG2Y4wcOZKbb76ZZs2a0bFjR+bPn09CQgLfffedx69v7NixNG/enEaNGnHu3DkWLFiQ7zCcXxqaS3zOMMwuB96V4ebhHSVLKsiKiBS1Z599lrFjxzJhwgQaNGhA165dmT9/PrVq1cr3sbp27cqCBQtYunQpV1xxBS1btuSVV16hRo0azn3mzp3LFVdcQf/+/WnYsCGjRo1ytly2bt2ae++9l379+lG+fHkmTpzotdcJeb/W6tWrM3fuXObPn0/jxo15++23ef7553M9Zvv27fn888/5+uuvadKkCddeey0//fSTc/t///tf9uzZQ+3atSlfvrzbY/Tu3ZspU6bw0ksv0ahRI6ZNm8bMmTNp3769x68tPDyc0aNHc/nll9O2bVtCQ0P55JNPPH5+QdiMgnTMCGAnTpwgLi6O5ORkYmNjrS4noKWmprJw4UJ69OiRrf+MFD1dD/+i6+FfitP1sNvt7N69m1q1ahEZGWl1OQXi6GYQGxtLSNYbzqRIWXktcvtZzk9e00+QiIiIiAQshVkRERERCVgKsyIiIiISsBRmRURERCRgKcyKiIgEoCC7f1uKIW/9DCvMioiIBBDHaAxnzpyxuBKRwklJSQEgNOt0y/mkSRNEREQCSGhoKKVLl+bo0aMAREdHZ5tu1N9lZGSQkpKC3W7X0FwWs+paZGRk8NdffxEdHU2JEoWLowqzIiIiAaZSpUoAzkAbaAzD4OzZs0RFRQVcEC9urLwWISEhVK9evdDnVZgVEREJMDabjcqVK1OhQgVSU1OtLiffUlNTWbVqFW3btg34SSwCnZXXIjw83CutwQqzIiIiASo0NLTQ/Q2tEBoaSlpaGpGRkQqzFisO10IdVUREREQkYCnMioiIiEjAUpgVERERkYAVdH1mHQP0njhxwuJKAl9qaipnzpzhxIkTAdvPpjjR9fAvuh7+RdfDv+h6+A9/vRaOnObJxApBF2ZPnjwJQLVq1SyuRERERERyc/LkSeLi4nLdx2YE2Xx4GRkZHDp0iFKlSmlsu0I6ceIE1apVY//+/cTGxlpdTtDT9fAvuh7+RdfDv+h6+A9/vRaGYXDy5EmqVKmS5/BdQdcyGxISQnx8vNVlFCuxsbF+9QEIdroe/kXXw7/oevgXXQ//4Y/XIq8WWQfdACYiIiIiAUthVkREREQClsKsFFhERARPP/00ERERVpci6Hr4G10P/6Lr4V90PfxHcbgWQXcDmIiIiIgUH2qZFREREZGApTArIiIiIgFLYVZEREREApbCrIiIiIgELIVZcWvChAlcccUVlCpVigoVKtC7d2+2bduW5/NWrlxJ8+bNiYyM5OKLL+btt98ugmqLv4JcjxUrVmCz2bI9tm7dWkRVF19Tp07l8ssvdw4y3qpVKxYtWpTrc/TZ8J38Xg99NorOhAkTsNlsDB8+PNf99PkoGp5cj0D8fCjMilsrV67kgQceYM2aNSxdupS0tDS6dOnC6dOnc3zO7t276dGjB23atGHDhg088cQTPPTQQ8ydO7cIKy+eCnI9HLZt20ZSUpLzUbdu3SKouHiLj4/nhRdeYN26daxbt45rr72WXr168ccff7jdX58N38rv9XDQZ8O3fv75Z9555x0uv/zyXPfT56NoeHo9HALq82GIeODo0aMGYKxcuTLHfUaNGmVccsklLuvuueceo2XLlr4uL+h4cj2WL19uAMaxY8eKrrAgVqZMGePdd991u02fjaKX2/XQZ8P3Tp48adStW9dYunSp0a5dO2PYsGE57qvPh+/l53oE4udDLbPikeTkZADKli2b4z6rV6+mS5cuLuu6du3KunXrSE1N9Wl9wcaT6+HQtGlTKleuTMeOHVm+fLmvSws66enpfPLJJ5w+fZpWrVq53UefjaLjyfVw0GfDdx544AGuu+46OnXqlOe++nz4Xn6uh0MgfT5KWF2A+D/DMBgxYgTXXHMNl156aY77HT58mIoVK7qsq1ixImlpafz9999UrlzZ16UGBU+vR+XKlXnnnXdo3rw5586dY/bs2XTs2JEVK1bQtm3bIqy4eNq0aROtWrXCbrcTExPDl19+ScOGDd3uq8+G7+Xneuiz4VuffPIJv/zyCz///LNH++vz4Vv5vR6B+PlQmJU8Pfjgg/z222/88MMPee5rs9lclo3zE8xlXS8F5+n1qF+/PvXr13cut2rViv379zNp0iS//YUUSOrXr8/GjRs5fvw4c+fOZeDAgaxcuTLHAKXPhm/l53ros+E7+/fvZ9iwYSxZsoTIyEiPn6fPh28U5HoE4udD3QwkV//5z3/4+uuvWb58OfHx8bnuW6lSJQ4fPuyy7ujRo5QoUYJy5cr5ssygkZ/r4U7Lli3ZsWOHDyoLPuHh4dSpU4cWLVowYcIEGjduzJQpU9zuq8+G7+Xnerijz4Z3rF+/nqNHj9K8eXNKlChBiRIlWLlyJa+99holSpQgPT0923P0+fCdglwPd/z986GWWXHLMAz+85//8OWXX7JixQpq1aqV53NatWrF/PnzXdYtWbKEFi1aEBYW5qtSg0JBroc7GzZs0Fd2PmIYBufOnXO7TZ+Nopfb9XBHnw3v6NixI5s2bXJZN3jwYC655BIee+wxQkNDsz1Hnw/fKcj1cMfvPx+W3Xomfu2+++4z4uLijBUrVhhJSUnOx5kzZ5z7PP7448btt9/uXP7zzz+N6Oho4+GHHzY2b95svPfee0ZYWJjxxRdfWPESipWCXI9XX33V+PLLL43t27cbv//+u/H4448bgDF37lwrXkKxMnr0aGPVqlXG7t27jd9++8144oknjJCQEGPJkiWGYeizUdTyez302ShaWe+e1+fDWnldj0D8fKhlVtyaOnUqAO3bt3dZP3PmTAYNGgRAUlIS+/btc26rVasWCxcu5OGHH+bNN9+kSpUqvPbaa9x0001FVXaxVZDrkZKSwqOPPsrBgweJioqiUaNGfPPNN/To0aOoyi62jhw5wu23305SUhJxcXFcfvnlfPvtt3Tu3BnQZ6Oo5fd66LNhLX0+/Etx+HzYDON8L2sRERERkQCjG8BEREREJGApzIqIiIhIwFKYFREREZGApTArIiIiIgFLYVZEREREApbCrIiIiIgELIVZEREREQlYCrMiIiIiErAUZkVEAsy4ceNo0qSJc3nQoEH07t27yOvYs2cPNpuNjRs3Fvm5RUQcFGZFRLxk0KBB2Gw2bDYbYWFhXHzxxTz66KOcPn3ap+edMmUKs2bN8mhfBVARKW5KWF2AiEhx0q1bN2bOnElqaiqJiYnceeednD59mqlTp7rsl5qaSlhYmFfOGRcX55XjiIgEIrXMioh4UUREBJUqVaJatWoMGDCAW2+9lXnz5jm7BsyYMYOLL76YiIgIDMMgOTmZu+++mwoVKhAbG8u1117Lr7/+6nLMF154gYoVK1KqVCmGDh2K3W532Z61m0FGRgYvvvgiderUISIigurVq/Pcc88BUKtWLQCaNm2KzWajffv2zufNnDmTBg0aEBkZySWXXMJbb73lcp61a9fStGlTIiMjadGiBRs2bPDiOyciUjBqmRUR8aGoqChSU1MB2LlzJ5999hlz584lNDQUgOuuu46yZcuycOFC4uLimDZtGh07dmT79u2ULVuWzz77jKeffpo333yTNm3aMHv2bF577TUuvvjiHM85evRopk+fzquvvso111xDUlISW7duBcxAeuWVV/Ldd9/RqFEjwsPDAZg+fTpPP/00b7zxBk2bNmXDhg3cddddlCxZkoEDB3L69Gmuv/56rr32Wj788EN2797NsGHDfPzuiYjkTWFWRMRH1q5dy5w5c+jYsSMAKSkpzJ49m/LlywPw/fffs2nTJo4ePUpERAQAkyZNYt68eXzxxRfcfffdTJ48mSFDhnDnnXcCMH78eL777rtsrbMOJ0+eZMqUKbzxxhsMHDgQgNq1a3PNNdcAOM9drlw5KlWq5Hzes88+y8svv0yfPn0AswV38+bNTJs2jYEDB/LRRx+Rnp7OjBkziI6OplGjRhw4cID77rvP22+biEi+qJuBiIgXLViwgJiYGCIjI2nVqhVt27bl9ddfB6BGjRrOMAmwfv16Tp06Rbly5YiJiXE+du/eza5duwDYsmULrVq1cjlH1uXMtmzZwrlz55wB2hN//fUX+/fvZ+jQoS51jB8/3qWOxo0bEx0d7VEdIiJFRS2zIiJe1KFDB6ZOnUpYWBhVqlRxucmrZMmSLvtmZGRQuXJlVqxYke04pUuXLtD5o6Ki8v2cjIwMwOxqcNVVV7lsc3SHMAyjQPWIiPiawqyIiBeVLFmSOnXqeLRvs2bNOHz4MCVKlKBmzZpu92nQoAFr1qzhjjvucK5bs2ZNjsesW7cuUVFRLFu2zNk1ITNHH9n09HTnuooVK1K1alX+/PNPbr31VrfHbdiwIbNnz+bs2bPOwJxbHSIiRUXdDERELNKpUydatWpF7969Wbx4MXv27OHHH3/kySefZN26dQAMGzaMGTNmMGPGDLZv387TTz/NH3/8keMxIyMjeeyxxxg1ahQffPABu3btYs2aNbz33nsAVKhQgaioKL799luOHDlCcnIyYE7EMGHCBKZMmcL27dvZtGkTM2fO5JVXXgFgwIABhISEMHToUDZv3szChQuZNGmSj98hEZG8KcyKiFjEZrOxcOFC2rZty5AhQ6hXrx633HILe/bsoWLFigD069ePsWPH8thjj9G8eXP27t2b501XTz31FI888ghjx46lQYMG9OvXj6NHjwJQokQJXnvtNaZNm0aVKlXo1asXAHfeeSfvvvsus2bN4rLLLqNdu3bMmjXLOZRXTEwM8+fPZ/PmzTRt2pQxY8bw4osv+vDdERHxjM1QRygRERERCVBqmRURERGRgKUwKyIiIiIBS2FWRERERAKWwqyIiIiIBCyFWREREREJWAqzIiIiIhKwFGZFREREJGApzIqIiIhIwFKYFREREZGApTArIiIiIgFLYVZEREREAtb/A+4c+Cd7edWcAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Metric Results Across Folds: ----\n",
      "{'mean_squared_error': [0.049038598063627384], 'root_mean_squared_error': [0.22144660318827963], 'mean_absolute_error': [0.15037616516741625], 'r2_score': [0.4582821121997448]}\n",
      "True values: [2.29070772 2.46578707 2.22795189 ... 2.15818065 2.29070772 2.59275966]\n",
      "Predictions: [2.52230964 2.64032549 2.35395061 ... 2.24837135 2.41007029 2.69137841]\n",
      "Average MSE score: 0.049038598063627384\n",
      "Average r2 score: 0.4582821121997448\n",
      "Average baseline MSE: 0.09052423626392993\n",
      "Average baseline r2: 0.0\n"
     ]
    }
   ],
   "source": [
    "test_years = [2015]\n",
    "true_values, predicted_values = train_test_model(test_years, LinearRegression(), X.values, y.values, metrics = metrics)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcbabcd3-faeb-4e1f-b217-33ba4470d262",
   "metadata": {},
   "source": [
    "### Test on 2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "74748bb6-0381-452d-8376-01ee8656f5bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- Year = 2016 --- \n",
      "MSE: 0.05214164125657155\n",
      "r2 score: 0.43662564067804155\n",
      "Baseline MSE: 0.09255238615993443\n",
      "Baseline R2: 0.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Metric Results Across Folds: ----\n",
      "{'mean_squared_error': [0.05214164125657155], 'root_mean_squared_error': [0.22834544281980218], 'mean_absolute_error': [0.1534574787774042], 'r2_score': [0.43662564067804155]}\n",
      "True values: [2.29070772 2.46578707 2.29070772 ... 2.46578707 2.29070772 2.59275966]\n",
      "Predictions: [2.49985166 2.67274466 2.5236954  ... 2.67646781 2.53331459 2.55653568]\n",
      "Average MSE score: 0.05214164125657155\n",
      "Average r2 score: 0.43662564067804155\n",
      "Average baseline MSE: 0.09255238615993443\n",
      "Average baseline r2: 0.0\n"
     ]
    }
   ],
   "source": [
    "test_years = [2016]\n",
    "true_values, predicted_values = train_test_model(test_years, LinearRegression(), X.values, y.values, metrics = metrics)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0bd389ae-0a1e-4399-bf40-81c4ed90d3e8",
   "metadata": {},
   "source": [
    "### Test on 2017"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "dfc0928d-b2c6-4f57-a8e9-bbcb093b7295",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- Year = 2017 --- \n",
      "MSE: 0.051827064038488656\n",
      "r2 score: 0.4320040579247001\n",
      "Baseline MSE: 0.09124548293272468\n",
      "Baseline R2: 0.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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69RPx8fFa7QCIbt266f2eQhS9msHkyZN1tk9MTBRDhgwRlSpVEt7e3uKFF14Qx48f17kywF9//SWGDh0qfH19haOjo/D39xc9e/YUK1as0Lu+u3fvCicnJwFAHD16tNDz27Zt05xH1apVE2+++ab49ddfC/0sdf08kpOTxfjx44Wfn59wd3cXAwYMEFeuXCm0moEQ0uoHY8eOFdWqVROOjo6iSpUqolOnTmLBggWaNp988ono1KmTqFy5snBychLVq1cX48aNE1euXNH78xJR6SiEEEKuIE1EREREVBZczYCIiIiILBbDLBERERFZLIZZIiIiIrJYDLNEREREZLEYZomIiIjIYjHMEhEREZHFsrmbJuTl5eHWrVvw9PTUectGIiIiIpKXEAKpqamoWrUq7OyKH3u1uTB769YtBAUFyV0GEREREZXg+vXrCAwMLLaNzYVZT09PAFLn6HNbTEuhUqmwa9cuhIWFwdHRUe5yrAL71LjYn8bHPjUu9qfxsU+Ny5b6MyUlBUFBQZrcVhybC7PqqQVeXl5WF2bd3Nzg5eVl9Sd4eWGfGhf70/jYp8bF/jQ+9qlx2WJ/6jMllBeAEREREZHFYpglIiIiIovFMEtEREREFsvm5szqQwiBnJwc5Obmyl2K3lQqFRwcHJCZmWlRdZszS+5Te3t7ODg4cPk5IiKyegyzBWRnZyMxMRHp6elyl2IQIQT8/f1x/fp1BhgjsfQ+dXNzQ0BAAJycnOQuhYiIyGQYZvPJy8vD5cuXYW9vj6pVq8LJycliQkxeXh7S0tLg4eFR4uLCpB9L7VMhBLKzs3H37l1cvnwZ9erVs6j6iYiIDMEwm092djby8vIQFBQENzc3ucsxSF5eHrKzs+Hi4sLgYiSW3Keurq5wdHTE1atXNZ+BiIjIGlnWv9DlxNKCC5EuPI+JiMgW8F87IiIiIrJYDLNEREREZLEYZsnsdO/eHVOnTpW7DCIiIrIADLNWQKFQwN7eHhUrVoS9vT0UCoXWNnr06HKpY8CAAejVq5fO5w4fPgyFQoE///yzXGohIiIi28DVDEwkNzcX8fHxSExMREBAAEJCQmBvb2+S90pMTEReXh5SU1Px66+/Yu7cuTh//rzmeVdXV632KpUKjo6ORq9j3LhxGDRoEK5evYoaNWpoPRcVFYWWLVuidevWRn9fIiIisl0cmTWB2NhY1KxZEz169EBERAR69OiBmjVrIjY21iTv5+/vD39/f/j5+cHLywsKhUKzLzMzExUqVMD333+P7t27w8XFBevXr8e8efPQsmVLreMsWbIENWvW1NoXHR2NRo0awcXFBQ0bNsSXX35ZZB39+/eHr68v1qxZo7U/PT0d3333HcaNG4f79+9j2LBhCAwMhJubG5o1a4aNGzcW+/kUCgW2bNmita9ChQpa73Pz5k0899xzqFixInx8fBAeHo4rV65ono+Li0P79u3h7u6OChUqoHPnzrh69Wqx70tkyR48ABo0ABQK89nc3IBNmwALu6Ee2YCC32hayhrzJOHIrJHFxsZiyJAhEEJo7b958yaGDBmCH3/8EYMGDSr3umbOnIlPPvkE0dHRcHZ2xqpVq0p8zerVqzF37lwsW7YMrVq1QkJCAiZMmAB3d3eMGjWqUHsHBweMHDkSa9aswbvvvqv5y+CHH35AdnY2hg8fjvT0dLRp0wYzZ86El5cXfvnlF4wYMQK1a9dGhw4dSvXZ0tPT0aNHD4SEhODgwYNwcHDAggUL8NRTT+Hvv/+GnZ0dBg4ciAkTJmDjxo3Izs7G0aNHbeYvq+xsYMUK4OJFIC8PqFBBChZKpfRnnTpA48bAwYPAsWNAWhqQlQVkZkrPV6kC2NkBSUnArVvSc05OQM2agI8P4OkJBAQA3t7AjRuA+tS3swNq1AB69gS6d5fv89sif3/g9m25qygsIwMYNkzaYmIAGf4qJCqkqH8LFApFoX/LyTwxzBpRbm4upkyZovPkF0JAoVBg6tSpCA8PN9mUg6JMnTrV4BD93nvv4ZNPPtG8rlatWjhz5gxWrlypM8wCwNixY/Hxxx8jLi4OPXr0ACBNMRg0aBAqVqyIihUrYvr06Zr2r776Knbs2IEffvih1GF206ZNsLOzw1dffaX5Syk6OhoVKlRAXFwc2rZti+TkZPTv3x916tQBADRq1KhU72VpHj4E+vcH/vvPuMfNzAT+/lu/th98IIXeVauAcj7tbZK5BtmCBg9moCX5lTSowUBrGTjNwIji4+Nx48aNIp8XQuD69euIj48vx6okbdu2Naj93bt3cf36dYwbNw4eHh6abcGCBbh06VKRr2vYsCE6deqEqKgoAMClS5cQHx+PsWPHApAC//vvv4/mzZvDx8cHHh4e2LVrF65du1bqz3bixAn8+++/8PT01NRZqVIlZGZm4tKlS6hUqRJGjx6NPn36YMCAAYiMjERiYmKp389SJCUBKSnm8ZXu/fvACy/IXYX1e/DAMoKs2ksvmcf5SbZJ32/nbOVbPEvGMGtE+gYkOYKUu7u71mM7O7tCv22qVCrNf+fl5QGQphqcPHlSs50+fRpHjhwp9r3GjRuHmJgYpKSkIDo6GjVq1EBoaCgA4JNPPsFnn32GGTNmYN++fTh58iT69OmD7OzsIo+n6zfjgrW2adNGq86TJ0/iwoULiIiIACCN1B4+fBidOnXCd999h/r165f4OSxZXh5w757cVejG8FI2ubnAd99JU0C8vaV93t7SYx8feWsz1J07gAy/2xMVCqie4FfVloxh1ogCAgKM2s6UqlSpgqSkJK2QePLkSc1/+/n5oVq1avjvv/9Qt25dra1WrVrFHnvo0KGwt7fHhg0b8M0332DMmDGavzji4+MRHh6OF154AS1atEDt2rVx8eLFEmvN/wvAxYsXkZ6ernncunVrXLx4Eb6+voVq9Vb/aw+gVatWmDVrFg4dOoSmTZtiw4YNevWVJbp7V+4Kinb4sNwVWK7YWMDBAXj+ebkrMR4b+JKEzEzBIOsNYA+ATWCgtVQMs0YUEhKCwMDAYieTBwUFISQkpJwrK6x79+64e/cuPvroI1y6dAlffPEFfv31V6028+bNw8KFCxEZGYkLFy7g1KlTiI6OxqefflrssT08PPDcc89h9uzZuHXrltY6t3Xr1sXu3btx6NAhnD17FpMmTUJSUlKxx+vZsyeWLVuGP//8E8ePH8eLL76otbTY8OHDUblyZYSHhyM+Ph6XL1/GgQMHMGXKFNy4cQOXL1/GrFmzcPjwYVy9ehW7du3ChQsXrHrebFaW3BUUrYQft9nZuFH+VQDU2+DBcveG8ZnB7/ZkQ3QF2V0A2gPoBqCGjteQ+eMvIUZkb2+PyMhIDBkypNBX4+r/gZYsWVLuF3/p0qhRI3z55Zf44IMP8N5772Hw4MGYPn261ioH48ePh5ubGz7++GPMmDED7u7uaNasmV535xo3bhy+/vprhIWFoXr16pr977zzDi5fvow+ffrAzc0NEydOxMCBA5GcnFzksT755BOMGTMGXbt2RdWqVREZGYkTJ05onndzc8PBgwcxc+ZMDBo0CKmpqahWrRpCQ0Ph5eWFjIwMnDt3Dt988w3u37+PgIAAvPLKK5g0aVLpOs8CODvLXUHRDh0CcnKkr5jv3gWOH5cCrrc30KwZ0LkzULWq1PbWLan9zZvSlp4uXRHv7g60aAE0bw6cPi2twBAQAHTsKF30VqUKUK0aEBJStovOOFXOtHx9pZ8RUXkoLsjeA9ATQNFXhJBZEzYmOTlZABDJycmFnsvIyBBnzpwRGRkZZXqPmJgYERgYKABotqCgIBETE1Om4xYnNzdXPHz4UOTm5prsPWyNJfdpbq4Qx45liF9/PSNq1MgQ0oJZ8m6urtliy5YtwtU1u9zeMzBQiNL+byd3f5lrnxpzM+FfiaWSnS31Z3Z2ttylWA1z6dP8/x4DEN6A+OPxiXgXEM0KPJ9/Myfm0p/lobi8VhBHZk1g0KBBmq+8y+MOYEQF2dkBlSub70Vg5eXGDemr+fnzgbfekkZ5ExOlUVz1iGBcHLBvH3D9OhAYCFSsCPz2m6xl2wQuy0XlRZ8R2VNFvFYIYdLayDgYZk3E3t4e3blSPMnI31/6mp6/QwFz5wL/+5/2Sgo+PtLc4rQ0+eqyNa6uQFQU8H//x/OSyoeua1gaAmgKBllrwjBLZMUqVgQSEqQAYcgdwG7fBi5flrt64yq4JNj9+/LUYQvu3wcqVZK7CrJ1RV2M/QeAfgAegEHWWjDMElk5JydAj2v28NRT0p+5udJtaIlKw8+PQZbkp2tqgR+AC48fHyjmtQyylodLcxGRlvh4aeUAIkP5+Vne0mtkfW4W+AtMPUf2IIDGJbyWQdYycWSWiLRwEXsyhJ0dUL8+8PvvHJEl+ZV0sVdxU7UZZC0XwywRaeEi9lSSN98EPvrIuMfMzZVWloiLkx537y5t+S8Uy80F9uwBPvkEePBAWo+4cWOpjY+PNDJccH3h3Nwn3zYkJUmvs7OTjh0Sor3CRceOxv1MVL64aoHtYpglIi0hIVIg4FQDKsjODnjjDeMH2dhYYOJE7YvyFiyQAuqqVdISXrGxwPDhQGbmkzYnTgDbthU+XmAgEBkp/feUKdISbQUtWCB9nry8J/vq1gUWLzbOZ6LyxSBr2xhmiUiLvT2wdKnl3Dq1USPg7Fm5q7Aufn5Sv/r6SiOZ7u7SLzmvvipdUGhMsbFFn2v370vPvfkm8PHH+h9Tvb5wSfIHWUBayg6QAjLXwLUcDLLEC8DIYPPmzUPLli01j0ePHo2BAweWex1XrlyBQqHAyZMnTfo+tWvXxpIlS0z6HuZm0CBpUXsfH7krKVpQkFTjmTPmX2tZKBTSFhNT+B5a6rtAJycb995cSUnA/v3Ad98Bu3cDW7ZII7LGDrK5udLIaUnKa7RUnWveeqvwUm5kOfIA5IBB1pYwzFqJMWPGoGLFirC3t4ejoyNq166N6dOn49GjRyZ/78jISKxZs0avtuUVQAGgWbNmGD9+vM7nNm7cCEdHR9y+fdvkdViqQYOk9Wb37AFeew3w8noSrOzspD+LY2enPd9R3d7FBahdW/rTzg5wcAAcHZ+0d3eXNm9voEoVoF49oH9/aa3czz4D1q+Xgtbly09Gz/LX6ulpmv4wNRcXaQQyMFB7f2Ag8OOP1jlSGB+vewpAQeWdOW7ckGojy5QK4CkAIWCQtRWcZmAi6osO8t8609R3vAkNDcXatWuRm5uL+Ph4jB8/Ho8ePcLy5csLtVWpVHB0dDTK+3p7exvlOMY2btw4vPvuu1i6dCnc3Ny0nouKikL//v3h5+cnU3WWwd4eCA2VNvUcxNJSqYDt26XQaaRTT4u61ubNpSvrLUXr1tL8zbAw6TMsXFj+f3fIxZxXzjDn2qgwbwDhANY+fpwK4JyOdjdu3EC1atXKrS4qHxyZNYHYWKBmTaBHDyAiQvqzZk1pvyk5OzvD398fQUFBiIiIwPDhw7FlyxYAT6YGREVFoXbt2nB2doYQAsnJyZg4cSJ8fX3h5eWFnj174q+//tI67qJFi+Dn5wdPT0+MGzcOmfmvwEDhaQZ5eXn48MMPUbduXTg7O6N69ep4//33AQC1atUCALRq1QoKhULrlr/R0dFo1KgRXFxc0LBhQ3z55Zda73P06FG0atUKLi4uaNu2LRISEortjxEjRiArKws//PCD1v5r165h3759GDduHC5duoTw8HD4+fnBw8MD7dq1w549e4o8pq6RZaVSCYVCgTj1ZdgAzpw5g379+sHDwwN+fn4YMWIE7t27p3n+xx9/RLNmzeDq6gofHx/06tWrXEbRLUluLrB3L/D229L/Rz17Sleu+/oCbm5PRnPt7KTR2ObNpTZZWXJXrr/AQODoUaBv3yeB1d5eutJ+2LDCV/NbG3NeOcOca7N1U6ZMgUKh0GzeAHYD+AbAqyW8lkHWOnFk1shiY4EhQwp/LXbzprS/PL8udHV1hUql0jz+999/8f333yMmJgb2j/+FfPrpp1GpUiVs374d3t7eWLlyJUJDQ3HhwgVUqlQJ33//PebOnYsvvvgCISEhWLduHZYuXYratWsX+b6zZs3C6tWr8dlnn6FLly5ITEzEuXPS78hHjx5F+/btsWfPHjRp0gROjyfhrV69GnPnzsWyZcvQqlUrJCQkYMKECXB3d8eoUaPw6NEj9O/fHz179sT69etx+fJlTClhsp2Pjw/Cw8MRHR2NUaNGafZHR0fDz88Pffv2xenTp9GvXz8sWLAALi4u+OabbzBgwACcP38egQW/79VTYmIiunXrhgkTJuDTTz9FRkYGZs6ciaFDh2Lfvn1ITEzEsGHD8NFHH+HZZ59Famoq4uPj+bVXPrqubi9OWhpwqqjvE81YZKT8YTUjQ5pGsnmzdItjc5wrqlCU71SDwEBpRJzMj66LvXYDaAdpjmxcMa9V/ztEVkjYmOTkZAFAJCcnF3ouIyNDnDlzRmRkZJTq2Dk5QgQGFn1ZhUIhRFCQ1M7YRo4cKfr16ydyc3OFEEL88ccfwsfHRwwdOlQIIcTcuXOFo6OjuHPnjuY1e/fuFV5eXiIzM1PrWHXq1BErV64UQggRHBwsXnzxRa3nO3ToIFq0aKF5PGrUKBEeHi6EECIlJUU4OzuL1atX66zz8uXLAoBISEjQ2h8UFCQ2bNigte+9994TwcHBQgghVq5cKSpVqiQePXqkeX758uU6j5Xfr7/+KhQKhbh06ZIQQoi8vDxRs2ZNMWvWrCJf07hxY/H555+L3Nxc8fDhQ1GjRg3x2WefFVn/w4cPBQCxf/9+IYQQ77zzjggLC9M65vXr1wUAcf78eXHixAkBQFy5cqXIGoyhrOezsWVnZ4stW7aI7OzsYtvFxBjzUibz3Dw9pc9pqJwcIfbvF2LDBunPjAz9+jQnR4g9e4SYPVuI4cOFiIiQ/rtTJ/n7Qp/tzTfL533c3KT+jIkpvj9Jf/r+f68PAFqbNyCOPv7h3QVEswLPF9ysgTH709wVl9cK4sisEZV0MYMQwPXrUrt8364bzc6dO+Hl5YWcnByoVCqEh4fj888/1zxfo0YNVKlSRfP4xIkTSEtLg0+By8AzMjJw6dIlAMDZs2fx4osvaj0fHByM/fv366zh7NmzyMrKQmhoqN513717F9evX8e4ceMwYcIEzf6cnBzNfNyzZ8+iRYsWWnNfg4ODSzx2WFgYAgMDER0djffeew/79u3DlStXMGbMGADAo0ePMH/+fPz888+4desWcnJykJGRgWvXruldf0EnTpzA/v374eHhUei5S5cuISwsDKGhoWjWrBn69OmDsLAwDBkyBBUrViz1e1oLfa9utwSenkDlykB6unSRW1AQUKcOMGqUNB3C0BHZ2NjCa6bqsy6qoaPc5ujCBWk1h4LrzBYlKAhQL0BS1DqzQOF1ZtXfQA8YUKZyyQRKGpEtbtUCABBCmKw2kh/DrBHpe8GAqS4sCAkJwcqVK+Hs7IyqVasWusDL3d1d63FeXh4CAgK05nqqVahQoVQ1uLq6GvyavMf/mqxevRodOnTQek49HaK0fxHZ2dlh9OjRWLNmDebPn4/o6Gh07doV9erVAwC8+eab2LlzJxYvXoy6devC1dUVQ4YMQXZ2dpHHK1hP/qkc6s8zYMAAfPjhh4VeHxAQAHt7e+zevRuHDh3Crl278Pnnn+Ptt9/GH3/8oZlTbKv0vbrdHOzfb5pfSnUpavpSSeuiFreGqyX56Sdg40ZpOomhdwALDzfsDmA7d8r6UUmHgkHWEdI6skUFWXt7e+Tm5sLe3h7//PMPGjRoUG61kjwYZo1I3wsGTHVhgZubG+rWrasJXCVp3bo1kpKS4ODggJo1a+ps06hRIxw5cgQjR47U7Dty5EiRx6xXrx5cXV2xd+9enctiqefI5uabmOfn54dq1arhv//+w/Dhw3Uet3Hjxli3bh0yMjI0gbm4OvIbM2YMFixYgNjYWMTGxmLFihWa5+Lj4zF69Gg8++yzAIC0tDRcuXKlyGOpR7YTExPRqlUrACi0zFjr1q0RExODmjVrwsFB9/9iCoUCnTt3RufOnfHuu++iRo0a2Lx5M6ZNm6bXZ7JWlnQFuSG1RkYCU6cavwZ1uH3hBWnuqzV7801g2TKgTx9p05f6grqi5H+uwO+lZAYKBlkAUAHYBKAWgFAUHpHNyckxfWFkVriagRGFhEgXDhS1/qZCIX39ZS4XFvTq1QvBwcEYOHAgdu7ciStXruDQoUOYM2cOjh8/DkC6ajQqKgpRUVG4cOEC5s6di3/++afIY7q4uGDmzJmYMWMG1q5di0uXLuHIkSP4+uuvAQC+vr5wdXXFjh07cPv2bSQ/XvV93rx5WLhwISIjI3HhwgWcOnUK0dHR+PTTTwEAERERsLOzw7hx43DmzBls374di/VcSb1WrVro2bMnJk6cCEdHRwwZMkTzXN26dREbG4uTJ0/ir7/+QkREhGakWBdXV1d07NgRixYtwpkzZ3Dw4EHMmTNHq83kyZPx4MEDDBs2DEePHsV///2HXbt2YezYscjNzcUff/yBDz74AMePH8e1a9cQGxuLu3fvolGjRnp9HmtmSVeQ61urQmGaIGtrLl6UuwIqb7qCrNpnABqi+KkFZDsYZo3I3v7JWpwF/x9UP16yRP6rl9UUCgW2b9+Orl27YuzYsahfvz6ef/55XLlyRbP+6nPPPYd3330XM2fORJs2bXD16lW89NJLxR73nXfewRtvvIF3330XjRo1wnPPPYc7d+4AABwcHLB06VKsXLkSVatWRXh4OABg/Pjx+Oqrr7BmzRo0a9YM3bp1w5o1azRfu3t4eGDbtm04c+YMWrVqhbffflvn1/hFGTduHB4+fIjnn39ea97tZ599hooVK6JTp04YMGAA+vTpg9atWxd7rKioKKhUKrRt2xZTpkzBggULtJ6vWrUqfv/9d+Tm5qJPnz5o2rQppkyZAm9vb9jZ2cHLywsHDx5Ev379UL9+fcyZMweffPIJ+vbtq/fnsUTqmRve3k9uvlBw69FD3hr1YcgvpSXdWIL093hmENkIXXNkVzz+U+2Bjte99tprJqyKzJVC2Nis6JSUFHh7eyM5ORleXl5az2VmZuLy5cuoVasWXFxcSv0eui7UUF+QYKplufLy8pCSkgIvLy+9pxlQ8Sy9T411PhvDjBnAsmUqbNy4HcOG9UNGhgnumlCOmjaVNvXd0GrUALp0Af76C1i7Frh6Vbrwy9RcXa2nT0uSng6UYkq+QVQqFbZv345+/foZ7aYytq40faoryO4C0B7ALwD6F/Naa480tnSOFpfXCuKcWRMYNOjJRQe2cBcfouLMmAF8/LHpg0h5On1a2qh8hIdb1/lDRSsuyN4DMKuY1yZa0qR7MiqGWRMp6aIDIluQnS0FWaLSCg8HHt/IkKxcSUG2uOW33Nzc4O/vb9L6yHxZ3nenRGQxCtyRmKhEdnbSElsTJ0pTCxhkbUNZgyxvB27bODJLRCbz+N4bZEMCA6ULYcvrtt1k+XStWrAW+gXZxMREjsgSR2aJyHTq1JG7AipvN25IN3iIjZW7ErIERS2/NQNSgC0uyAohGGQJAMMsEZnQyy/LXQHJQQhpbd1890YhKmRQMcP35wG0QPFBlkiNYZaITMbJSbpzE9me69elFV2IirJ582bNf3sDiAPQK9/zRcXV+vXrm64oskicM0tEJvXRR9Kfy5bJWweVP66URPrIf7FXLQD1AGQX0/78+fPlURZZEI7MEpHJffQRcPeu3FVoc3EBKlQAWreW/iTjs6TbE5M8Cq5a0B/FB1lOLyBdGGapRKtWrUJQUBDs7OywZMkSucsxibi4OCgUCiiVSgDAmjVrUKlSpTIdc82aNajAlKTh5CT9mZwszakUovRTEMp6m9iYGCAjA3j4EDhxArh3D9izB5g9Gxg2DAgNBQYMkLZ+/YBq1YAqVYCqVYEOHYCePYHnn5faDh8uvW77dmDhQqBRI8DNzfAaHRwAZ2ftz1ixonT7X0dHackqS6LvLX/Jdg1/+mm9l9+qX78+gywVidMMrMSYMWOwdu1aAICDgwOCgoIwaNAgzJ8/H+7u7qU+bkpKCl555RV8+umnGDx4MLy9vUt+UQnWrFmDqVOnaoJjce3GjBmjeezv74+QkBB8+OGHqFWrVpnrKM5zzz2Hp556Su/2NWvWxNSpUzF16lStY/Tr188E1VkP9RSETz8t/mIhe3vt5wMDpdtDA9J6pPfva7f38JD+TEvT3u/jA6xaVXjZKHt7KcCGhhr8EbT07Qu89VbZjqEP9V3VzNndu0D+v3rs7IC8PGlzc5P6PDsbyMqS7u7Vpg0wcybQtSvwxRfS+rJ5eUClSlJbT0+gRQvA3x+4cwd48EA6Zvfu0sY7LJq3V155BatWrdI8njx8ONbfuQOg5CDLEEslYZi1IqGhoVi7di1yc3MRHx+P8ePH49GjR1i+fLnBxxJCIDc3F9euXYNKpcLTTz+NABm+M/Ty8sL58+chhMC5c+cwadIkPPPMMzh58iTsC/zrpa7ZwaHsp7WrqyucnZ2RkpJSpmO48h6cJfroI2DBAukGCxcvSiOS7dpJo6ZVqkijop06AYcO6b49dHg4EBcnbcCTcAPo3m8OoSc398ntrn19pX1JSVIArFgROHJEWuLq1i3p81erBnh5SY8DA6WbCvTtCxw4IO/nKE5mZtHPJSdrP1apgP37pa04335beN+CBUX/kkLmY926dVqPK6t/mD4+6Hn/PoMslY2wMcnJyQKASE5OLvRcRkaGOHPmjMjIyCj8wrS0oreC7Ytrm56uX1sDjRw5UvTr10/k5uZq9o0fP174+/sLIYTIy8sTH374oahVq5ZwcXERzZs3Fz/88IOm7f79+wUAsWPHDtGmTRvh6OgooqKiBKQLSjXb5cuXhRBCbN26VbRu3Vo4OzuLWrVqiXnz5gmVSqU53sOHD8WECROEr6+vcHZ2Fk2aNBHbtm3TvE/+be7cuTo/U3R0tPD29tbat379egFAnDt3TmfN+/btK/GzCiHEL7/8IurVqydcXFxE9+7dRXR0tAAgHj58qPXeDx8+1PTpTz/9JNq0aSOcnZ2Fj4+PePbZZ4UQQnTr1q3QZyqq/i+//FLUrl1bODo6ivr164u1a9dqPQ9ArF69WgwcOFC4urqKunXrip9++knz/IMHD0RERISoXLmycHFxEXXr1hVRUVE6+6/Y81kG2dnZYsuWLSI7O1vuUmQVEyNEYKB6okXZNldXqU9dXbMNel3lykK0aCFEhw5C1K4thIeHEI6OQri6CuHtLUSlSkJUqSJtlSoJ4elpnHpNvcXElO1nw3PU+FxdXR+fo65af0faA+JLQDR7/Pfls88+q/W8+u9X0mZL52hxea0gjszqS/29pS79+gG//PLksa+vdB9GXbp1ezJUBAA1a0oT9goywm+jrq6uUKlUAIA5c+YgNjYWy5cvR7169XDw4EG88MILqFKlCrp166Z5zYwZM7B48WLUrl0bLi4u2LNnD3r16oWjR48iKCgIVapUwc6dO/HCCy9g6dKlCAkJwaVLlzBx4kQAwNy5c5GXl4e+ffsiNTUV69evR506dXDmzBnY29ujU6dOWLJkCd59913NFakexfWtjs8EQPO5CtZcoUKFEj/r9evXMWjQILz44ot46aWXcPz4cbzxxhvFvu8vv/yCQYMG4e2338a6deuQnZ2NXx7/zGNjY9GiRQtMnDgREyZMKPIYmzdvxpQpU7BkyRL06tULP//8M8aMGYPAwED06NFD027+/Pn46KOP8PHHH+Pzzz/H8OHDcfXqVVSqVAnvvPMOzpw5g19//RWVK1fGv//+i4yMDL37j+QVGyvdUEDOwSaFQpqWsXKl/iOZGRnS1ABzN2WKNFJvDqPvJN0QIf+3U+4A0iGl1VwA6mWox40bh1jeZYPKohzCtVkp9chsccMB/fppt3VzK7ptt27abStX1t3OQAVHZv/44w/h4+Mjhg4dKtLS0oSLi4s4dOiQ1mvGjRsnhg0bJoR4MjK7ZcsWrTYJCQlaI7JCCBESEiI++OADrXbr1q0TAQEBQgghdu7cKezs7MT58+d11qprxFKfdtevXxcdO3YUgYGBIisrS2fN+nzWWbNmiUaNGom8vDzN8zNnzix2ZDY4OFgMHz68yFpr1KghPvvss2Lr79Spk5gwYYJWm//7v/8T/fKdPwDEnDlztD6PQqEQv/76qxBCiAEDBogxY8YUWUd+HJk1Lzk5xhuRLevIrEIhRFCQVJM+Jk+Wf9RV323//tL/jGz9HDWmvXv3CgCakVl/FxfxByBWA0IB7W+ybDCKlJotnaOGjMyazfWxCxcuhEKh0LqARpcDBw6gTZs2cHFxQe3atbFixYryKTAtregtJka77Z07Rbf99Vfttleu6G5XCjt37oSXlxdcXFwQHByMrl274vPPP8eZM2eQmZmJ3r17w8PDQ7OtXbsWly5d0jpG27ZtS3yfEydO4H//+5/WsSZMmIDExESkp6fj5MmTCAwMNMrC1snJyfDw8IC7uzuCgoKQnZ2N2NhYOKkvjS9Qsz6f9ezZs+jYsaPWbRSDg4OLrePkyZMILePVQWfPnkXnzp219nXu3Blnz57V2te8eXPNf7u7u8PT0xN3Hl8o8dJLL2HTpk1o2bIlZsyYgUOHDpWpJio/8fHSPFhzIIRhNzW4eNG09RgT17Y1D/n/vnRIS8O2rCy0BzAQQJBcRZHVMotpBseOHcOqVau0/hHX5fLly+jXrx8mTJiA9evX4/fff8fLL7+MKlWqYPDgwaYt0pAVAUzVtgQhISFYuXIlnJ2dUbVqVTg6OgKQ+g2QviqvVq2a1muc868FBOi18kFeXh7mz5+v81aELi4uRr3oydPTE3/++Sfs7Ozg5+ens778+/Ly8gAU/1lFKb7jNdZnKngfciFEoX3qn1v+16g/V9++fXH16lX88ssv2LNnD0JDQzF58mQsXrzYKPWR6ZhjyNK3pnr1gF27TFuLsXBtW/PiLQQ6zZ+PikJoVi24JndRZHVkH5lNS0vD8OHDsXr1alSsWLHYtitWrED16tWxZMkSNGrUCOPHj8fYsWP5D/ljbm5uqFu3LmrUqKEViBo3bgxnZ2dcu3YNdevW1dqCggz/Hbl169Y4f/58oWPVrVsXdnZ2aN68OW7cuIELFy7ofL2TkxNy9bxpu52dHerWrYvatWvrFbT1+ayNGzfGkSNHtF5X8HFBzZs3x969e4t8Xp/P1KhRI/z2229a+w4dOoRGjRoV+7qCqlSpgtGjR2P9+vVYsmSJ1nI3ZL7MMWTpW5O5LwOmFhjItW3NiTeAbVlZqHjxYrHLb40dO7Z8CyOrI/vI7OTJk/H000+jV69eWLBgQbFtDx8+jLCwMK19ffr0wddffw2VSlVoRAsAsrKykJWVpXmsXmpJpVJpXUSk3ieEQF5enmYkzNKo68/P3d0db7zxBl5//XXk5OSgS5cuSElJweHDh+Hu7o5Ro0ZpXlPws+vaP2fOHDzzzDMIDAzEkCFDYGdnh7///hunT5/Ge++9h5CQEHTt2hWDBw/G4sWLUbduXZw7dw4KhQJPPfUUqlevjrS0NOzevRstWrSAm5sb3HRcXZL/vXXRVZs+n3XixIn45JNP8Prrr2PixIk4ceIE1qxZo3Ws/O8phMA777yD3r17o3bt2njuueeQk5ODHTt24M3Hq/7XqFEDBw4cwNChQ+Hs7IzKlSsXqv+NN97A888/j5YtWyI0NBQ///wzYmNjsWvXrkJ9XvAzq/fNnTsXrVu3RpMmTZCVlYVt27ahUaNGOvsoLy8PQgioVKpCy5jJQf3/W8H/72xFx45A3brS8lrGugDM1VWl9ae+FAppua+OHaVlsfRp36OHtGSYOYuMfLKWbWnY+jlaVjdu3ECHDh2Qnp6O6l5eiElNRVshkOXpiWcVCvyrUkHXd1wrVqxgn+vJls5RQz6jrGF206ZN+PPPP3Hs2DG92iclJcHPz09rn5+fH3JycnDv3j2d66AuXLgQ8+fPL7R/165dhQKUg4MD/P39kZaWhuzs4m6oZ37UP/TU1FSdz0+fPh1eXl5YuHAhrly5Am9vb7Ro0QKvv/46UlJSkP549YXU1FTY5bvV0KNHjwBII+jqXwSCg4OxadMmzRX3Dg4OqF+/PkaMGKFpExUVhXfeeQcRERFIT09HrVq1MHfuXKSkpKBp06YYM2YMnn/+eTx48AAzZ87EWzpWms/MzIQQosi1XouquaTPWqFCBXzzzTd4++23sXz5crRu3Rpz5szBK6+8ojmW+r3Vx2/dujXWrFmDjz/+GB9++CE8PT3RqVMnTJo0CYC0osLrr7+OevXqISsrCw8fPixUf8+ePbFw4UJ8/PHHmDp1KmrUqIFly5ahdevWWp8xIyND67EQApmZmUhJSYEQArNmzcK1a9c0c6NXrVqls4+ys7ORkZGBgwcPIicnR2cfymH37t1ylyAbU32JFBVVuj7duVP/tlOmSJu527697Mew5XO0rFavXg0AqPzXX2j9v/8hy80Nh957D9Nr1izyNduN8UOzMbZwjqYXtSqUDgpRmgmERnD9+nW0bdsWu3btQosWLQAA3bt3R8uWLYu8ZWr9+vUxZswYzJo1S7Pv999/R5cuXZCYmAh/f/9Cr9E1MhsUFIR79+7By8tLq21mZiauX7+OmjVrwsXFxQifsvwIIZCamgpPT89CczCpdCy9TzMzM3HlyhUEBQWZxfmsUqmwe/du9O7dW+e3KLZi2zbpTlc3b5b9WK6uKkRF7cbYsb2RkaFfnwYGAosWSbfqLcm2bcCIESWPJNepI42GJiYWf7MEQwQESLfErVhRWmrLwwNo1kxa+fDuXemmGnZ20rSCLl2MsxwXz9HS8fHx0fkLc7/cXNx2ccH0tWsxduzYQssIJhe8ewaVyJbO0ZSUFFSuXBnJycmF8lpBso3MnjhxAnfu3EGbNm00+3Jzc3Hw4EEsW7YMWVlZhb4a9ff3R1JSkta+O3fuwMHBAT4+Pjrfx9nZudBFToB0kU3BEyE3NxcKhQJ2dnZaI32WQP01s7p+KjtL71M7OzsoFAqd57qczK0efWRnS3cou3RJCm4vvwyoF9TIfzevgncn02XQIGkt1LLcAaxyZWlTf6n1zDOOGDzYEWfOAFu3SnfY8vMD2rd/ctezO3f0q08tN1caiS1pcEShkN7v/HnplrN6Tocv0X//SZ+xdWvg1Cnps586Bbi4SMtzDxsGnD0r3fp27VopdHfrJt0p7uZN4PZtaT3d0tzy1hLPUbm8//77mm8EvR9v6gu8YgC4Pu70jIwMTZjdu3cvevbsWe61WhNbOEcN+XyyhdnQ0FCcOqU9FXzMmDFo2LAhZs6cqXOOX3BwMLZt26a1b9euXWjbtq3V/1CJSB4zZgCffqod0qZPB6ZNk+acTpmiveRWYKA0d7O4GxLY2z+55a4uo0bpV1tEhPS1+qpVgKMj0L+/VK8x6LuUmHqZrzffNF6QVTt6VNoKOnQI2LBBe9+6dVKw1jWKzFvemkb+b6y8AewGUAVAdwBXC7T18PAw6GtjIkPINtzk6emJpk2bam3u7u7w8fFB06ZNAQCzZs3CyJEjNa958cUXcfXqVUybNg1nz55FVFQUvv76a0yfPl2uj0FEVmzGDOlK/oIhLTdX2j94cOHAd/OmdJcvS7+hkaFLiZnDWrTFTYe4f1/6eVn6z8Vc6Aqy7QB4AND1hTCDLJmSWX93mpiYiGvXnqxIV6tWLWzfvh1xcXFo2bIl3nvvPSxdutT0a8wSkc3JzpZGZA2lDlRTpxp/pLI8GbqUWO3apqnD2KZMseyfizlYuXKl5r/zB9nilt/StWINkbHIvjRXfnFxcVqP1csl5detWzf8+eefJq1DpmviiIyK53HZfPll6UNP/jtsFTedwJyFhEhTJkqaaqBQSO2eeQYorxsylsWNG5b9czEHL774IgD9gywA/PHHH+VSG9kmsx6ZLW/qebf8OoSsgfo85nzy0ilwp+dSMce7funL3l6a+6vPQh5LlgBKpakrMh5L/rmYC0OCLAAEBgaWR1lko8xqZFZu9vb2qFChAu7cuQNA+lrEUpZkysvLQ3Z2NjIzMy3yyntzZKl9KoRAeno67ty5gwoVKpjFDRMsUZ06ZT+GOd71yxCDBgE//lj4Ije1oCApyA4aBBT4Ys2sWfrPxRw4AnBByUHWwYExg0yPZ1kB6rVq1YHWUgghkJGRAVdXV4sJ4ObO0vu0QoUKOtdeJv28/LK0akFpphqov3q3hlur5l9K7OZNafmwKlWk5cLyL/Ol77QEuVnLz0VOK1aswIsvvoieAPwA/FNEuwULFmDGjBm8KQKZHMNsAQqFAgEBAfD19bWo28WpVCocPHgQXbt25dfKRmLJfero6MgR2TJycpKW3/r44+LbFVwOSv17z5IlxlnI3xyUtJSYuk1kpLRigDmLjLSen0u5UyqBvXsxadIkvPjii7gHaWS2KG+//bZF/TtKlothtgj29vYWFQbs7e2Rk5MDFxcXiwte5op9Sh99JP1ZcJ1Ze/vi15lVf/VuawYNAmJigIkTpaWwyltR68wCXGe2zJRKICxMulNHdDSEEMV+Y8ULUKk8McwSERXjo4+kRfeLugNY/rt5GXKHLWulnpYQFwfs2SPd9ODOHekOZk2aAJUqad/JrEoV6W5df/4JXL0KpKVJjwHpTl+dOkl3/nr0CMjKKnwHsEOHpDuPGfMOYFRA/iDr4yPdlg1SYF25cqVmdQNAmoIwadIkmQolW8UwS0RUAicnad1YXfT5Ct7W2NsDoaHSZkr9+xfex5+FkRUMsvv2Ac2ba56eNGkSwyvJznIu0SYiIqLyU0KQJTIXDLNERESkLSODQZYsBsMsERERaXNxAXr3ZpAli8AwS0RERNoUCunKx1OnGGTJ7DHMEhERkTRH9vXXAfUt3RUK3i6NLAJXMyAiIrJ1+S/2unUL+O47uSsi0htHZomIiGxZwVUL3n5b7oqIDMIwS0REZKu4/BZZAYZZIiIiW8QgS1aCYZaIiMgWPf88gyxZBYZZIiIiW/T++0C9egyyZPG4mgEREZEtatMGOHMGcGAUIMvGkVkiIiJboFRKd/X6448n+xhkyQrwLCYiIrJ2+S/2unwZOHeOQZasBkdmiYiIrFnBVQtiYxlkyaowzBIREVkrLr9FNoBhloiIyBoxyJKNYJglIiKyRgsWMMiSTeCkGSIiImu0YAGQmAjMnMkgS1aNYZaIiMhapKcDrq6AQgG4uADffit3RUQmx2kGRERE1kCpBLp1k0ZihZC7GqJywzBLRERk6dQ3RDh+HIiKkqYXENkIhlkiIiJLlj/Iqi/2qlpV7qqIyg3DLBERkaXSFWR5sRfZGIZZIiIiS8QgSwSAqxkQWaSNG4GICHne29MT6NxZ+jfTyQno3l3a7O3lqYfIFigUikL7xJYtwIkTDLJk8xhmiSyMjn/TylVqKrBjh7QB0lKWPj7AqlXAoEHy1kZkjXQFWQBQDBwIsX490KwZgyzZNE4zILIgcgfZoty/DwweDMTGyl0JkXUpGGS9Afjmf/6FFxhkyeYxzBJZiI0b5a6gZFOmALm5cldBZB10BdldAPYD8CumHZGt4TQDIgsh1xxZQ9y4AcTHS3Noyfzk5gJxcdIGFJ7vnJsr/fwSE4GAAKBtW2D6dGD/fml+dESEtO/OHSApCbh3D7h5EwgKktbqt7eX9t+6Bfz5J3D9OlCzJjBqlPT8oUNPjh0SwnnWxTl69KjWY3WQbQ/gHoDKAG6Xf1lEZolhloiMimu1m6fYWGDiRGlKiFr++c6ANLJ+40bRx5g9u+jnPvhA9/7ff5fuqKpQaN+UKjAQiIzkPGtdihqRVQfZngD+Kf+yiMwWwywRGVVAgNwVUEGxsdKcZl3U851NreDdVW/eBIYMAX78kYE2P32C7KnyL4vIrHHOLJGF2LBB7gpKFhgofX1M5iM3F3jtNbmrKEwdbqdO5TxrtZKmFjDIEunGMEtkIYYNk7uCkkVGch6kuYmPl0ZBzZEQ0rza+Hi5KzEPHTp00HrsCWlubElBVhQc9iayMZxmQGRBhDDP5bm4zqz5soQ5zJZQoxxuAOgOaYT2dBFtGGSJGGaJLI4QvAMY6c8S5jBbQo3lxRtAB0jTCwDg+uNNFwZZIgnDLJEFGjbMMqYdkPxCQoBq1cxzqoFCwXnW+R3fswe5vXqhNYD/A7CliHZ//PEH2rdvX36FEZk5zpklIrJi9vbA0qX6tS3PKSzq91qyhKP6AAClEm1mzUJ7AEoAl4ppyiBLpI1hlojIyg0aBMTESHObC/LxkZ6LiZFGcE2lYFAODOSyXBpKJRAWBhw7Bvj48GIvIgNxmgERkQ0YNAgIDy/+DmDh4bwDWLkrEGSxbx/+bt4cR48e1VrdgFMLiIrGMEtEZCPs7YHQUGkr6vmCtyJescJ478/bHBeQllYoyKJ5cwDSVAKOwhLph9MMiIiI5ODmJg11FwiyRGQYhlkiIiI52NkBy5ZJczIYZIlKjWGWiIiovCiVwJw5gEolPbazA6pXl7UkIkvHObNERETlIf/FXrdvA6tXy10RkVXgyCwREZGpFVy14NVX5a6IyGowzBIREZmSjuW3OEeWyHgYZomIiEyFQZbI5BhmiYiITEEI4NlnGWSJTIxhloiIyBQUCmDuXGm1AgZZIpPhagZERESm0r07cPGidD9gIjIJjswSEREZi1IJDBgA/PPPk30MskQmxZFZIiIiY8h/sdd//wGnTkk3RSAik+L/ZURERGVVcNWCjRsZZInKCf9PIyIiKgsuv0UkK4ZZIiKi0mKQJZIdwywREVFpzZ7NIEskM4ZZIiKi0lq0SFq9gEGWSDZczYCIiMgQWVmAs7P0315ewNat8tZDZOM4MktERKQvpRIICZFGZInILDDMEhER6SP/xV6LFwN378pdERGBYZaIiKhkulYtqFJF7qqICAyzRERExePyW0RmjWGWiIioKAyyRGaPYZaIiKgov/zCIEtk5rg0FxERUVGGDweSk4EuXRhkicyUrCOzy5cvR/PmzeHl5QUvLy8EBwfj119/LbJ9XFwcFApFoe3cuXPlWDUREVk1pVLa1F5+mUGWyIzJOjIbGBiIRYsWoW7dugCAb775BuHh4UhISECTJk2KfN358+fh5eWleVyFV5QSEZEROKSlwb5vX8DODti1C6hQQe6SiKgEsobZAQMGaD1+//33sXz5chw5cqTYMOvr64sK/AuGiIiMSalEp3nzYPfvv9Ic2Vu3GGaJLIDZzJnNzc3FDz/8gEePHiE4OLjYtq1atUJmZiYaN26MOXPmoEePHkW2zcrKQlZWluZxSkoKAEClUkGlUhmneDOg/izW9Jnkxj41Lvan8bFPjUiphN1TT6Hiv/9C+PggZ+dOoF49gH1bJjxHjcuW+tOQz6gQQggT1lKiU6dOITg4GJmZmfDw8MCGDRvQr18/nW3Pnz+PgwcPok2bNsjKysK6deuwYsUKxMXFoWvXrjpfM2/ePMyfP7/Q/g0bNsDNzc2on4WIiCyPQ1oaOs2bh4r//ossT08ceu89pNSsKXdZRDYtPT0dERERSE5O1ppaqovsYTY7OxvXrl2DUqlETEwMvvrqKxw4cACNGzfW6/UDBgyAQqHA1q1bdT6va2Q2KCgI9+7dK7FzLIlKpcLu3bvRu3dvODo6yl2OVWCfGhf70/jYp0agVMK+b1/YnTgB4eODuHfeQYcJE9ifRsJz1LhsqT9TUlJQuXJlvcKs7NMMnJycNBeAtW3bFseOHUNkZCRWrlyp1+s7duyI9evXF/m8s7MznJ2dC+13dHS0yhPBWj+XnNinxsX+ND72aRkolcDNm8DjqQUpN26wP02AfWpcttCfhnw+2cNsQUIIrZHUkiQkJCAgIMCEFRGROVEo5K6gsAoVpGVIN24EPDzkroZ0Ueg4cYQQ0rzY/fuB7GygUSPgxg0ZqiOispA1zM6ePRt9+/ZFUFAQUlNTsWnTJsTFxWHHjh0AgFmzZuHmzZtYu3YtAGDJkiWoWbMmmjRpguzsbKxfvx4xMTGIiYmR82MQUTkxxyALSIN7P/8MeHoC7doBR4/KXRHlVzDIegNo8ni/EAJo2FB6wgYuqiGyRrKG2du3b2PEiBFITEyEt7c3mjdvjh07dqB3794AgMTERFy7dk3TPjs7G9OnT8fNmzfh6uqKJk2a4JdffinygjEish7mGmQLOnYMaN+egdZc6AqyuwA0AzAA+QItEVksWcPs119/Xezza9as0Xo8Y8YMzJgxw4QVEZE5spQgq3bsGJCWxikHcisqyLYHcA/AnXztGGiJLJest7MlIrJWI0bIXQHlVzDI9gRwStaKiMhYGGaJiEzg0iW5KyA1Blki68YwS0RkAnXqyF0BAYAnGGSJrB3DLBGRCaxbJ3cFBADpAP4DgyyRNTO7dWaJiAoSwrIuAmvXjhd/mQMhBBQKBV4AUB3A5WLaEZHl4sgsEVkES8kbXGfWDCiVwKJFQF4ehBDIBYMskTXjyCwRWQxzHaHlHcDMiFIJhIVJ66PduwcsXqwZoS2IQZbIOjDMEpFFYf6gIuUPsj4+wMiRmqcYXImsF6cZEBGR5SsYZPftA5o3l7sqIioHDLNERGTZGGSJbBrDLBERWa68PKB/fwZZIhvGMEtERJbLzg54800gIIBBlshG8QIwIiKybOHhQO/egJub3JUQkQw4MktERJZFqQSGDAEu51s9lkGWyGZxZJaIiCxH/ou9rlyR/jTHxYeJqNxwZJaIiCxDwVULoqIYZImIYZaIiCwAl98ioiIwzBIRkXljkCWiYjDMEhGReZs6lUGWiIrEMEtERObt44+BHj0YZIlIJ65mQERE5icnB3B4/E9UlSpSkCUi0oEjs0REZF6USqBzZ2D1arkrISILwJFZIiIyH0qldDev48elmyL83/8BFSrIXRURmTGOzBIRkXnIH2R9fIA9exhkiahEHJklIjKR3FwgPh5ITAQCAoCQEGl/XJy0AUD37tJmb1/4tfq0A4DffgOSkp68h6425ubBgwfo1q0bbt26hapVq+Lg1q2oOHTokyDLi72ISE8Ms0REJhAbC0yZAty48WSfjw+QlQWkpT3Zt2CBtH/VKmDQoCevnTgRuH+/+HbbtknB9emngYwMaV9gIBAZ+aSNOfL398ft27c1j3MfPMC/tWujHcAgS0QGY5glIjKy2FhgyBBACO39+cNpwf2DBwMxMdLjwYP1azdiBLBhg3abmzel9/7xR/MMtAWDLAA8D6AdgHsA/k8I7GeQJSIDMMwSERlRbq40IlswyOrjtdf0b6dQ6H4PIaTnpk4FwsPNa8rBgwcPCgVZAFgJoCKAXwCcevAADx48QKVKlcq7PCKyULwAjIjIiOLjtacWGOLmTWnTp11x7yEEcP26VIs56datm+a/vQG45ntuEYBTOtoREZWEI7NERKWUkQG8/jrw88/6hdDylpgodwUShUKh9dgbwC4AKQCeAZBRoP2tW7fKpzAisgocmSUiKoWBAwE3N2DlSvMMsgAQESF3BUUH2fYAWgII0vGaqlWrmrwuIrIeDLNERAYaOBD46Se5q9CPnYx/yxcXZO8B6Anggo7XHThwwOS1EZH1YJglIjJARoblBFlAmj/777/l/776BNlThV8GPz8/XvxFRAZhmCUiMsCbb8pdgeEaN5b3/Q0JsklJSeVZGhFZAYZZIiIDXLwodwWGU6nkff/qAOqh6CDbtGlT3L9/n0GWiEqFYZaIyAD16sldgeEcHeV9/1MAeqHoEdlTp05xagERlRrDLBGRAT7+WO4KDHfmTPm/pzek1QrU/oTuIEtEVFYGh9nr16/jRr7Vuo8ePYqpU6di1apVRi2MiMgcubpKd9ayFAoFULduOb+pUgllu3aIgzRPtjiiNLdKIyLKx+AwGxERgf379wMAkpKS0Lt3bxw9ehSzZ8/G//73P6MXSERkbrZssYxAq1AAeXnl/KZKJRAWBhw7Bm8fn0I3RMiPQZaIjMHgMHv69Gm0by/9rv3999+jadOmOHToEDZs2IA1a9YYuz4iIrO0ZQuQng5MmgRUqyZ3NYVdvChvkIWPD7BvH/4uIrAyyBKRsRh8O1uVSgVnZ2cAwJ49e/DMM88AABo2bIhEc7l3IhFROXB1BVaskO/9VSpg+3YgOVn+i7x0BVk0bw6AwZWITMvgkdkmTZpgxYoViI+Px+7du/HUU08BkO6l7ePjY/QCiYjIzCUnFxlkiYhMzeAw++GHH2LlypXo3r07hg0bhhYtWgAAtm7dqpl+QERENsTZGahUiUGWiGRh8DSD7t274969e0hJSUHFihU1+ydOnAg3NzejFkdERBbAxUWaRHztGlC/vtzVEJGNKdU6s0IInDhxAitXrkRqaioAwMnJiWGWyIJs3Chd7V5em7e39L7e3kW3cXUFWrYEfvkFyM2VtXtIB4VCodkqKBR4VaEA1PNhXVwYZIlIFgaPzF69ehVPPfUUrl27hqysLPTu3Ruenp746KOPkJmZiRVyXg1BRHpRKOSuQLfMTOCvv4D+/aULmjZtAgYNkrsqAqQgq+YNYBekNWTn2tlhPi/wIiIZGTwyO2XKFLRt2xYPHz6Eq6urZv+zzz6LvXv3GrU4IjI+cw2yBalUwODBQGys3JVQUUH2HoDNBZ4nIipvBo/M/vbbb/j999/h5OSktb9GjRq4efOm0QojIuPbuFHuCgz36qvSDQrs7eWuxDYVF2R74sktahUKBZfgIiJZGDwym5eXh1wdk9lu3LgBT09PoxRFRKYRESF3BYa7dQuIj5e7CiouyBIRycngMNu7d28sWbJE81ihUCAtLQ1z585Fv379jFkbEREAgPdjkZcdgB1gkCUi82TwNIPPPvsMPXr0QOPGjZGZmYmIiAhcvHgRlStXxkZL/A6TiMxeQIDcFdi2PAArANQC0BsMskRkXgwOs1WrVsXJkyexceNG/Pnnn8jLy8O4ceMwfPhwrQvCiMj8bNhgeVMNqlYFQkLkroK+ARALIFXuQoiICjA4zAKAq6srxo4di7Fjxxq7HiIyoWHDLC/Mfv45L/6ShVIJvPoqRGIiFI+HxosLsrz4i4jkYnCYXbt2bbHPjxw5stTFEJHpCWEZy3NxnVkZKZVA797A8ePA1asQeXlQ2BV9iQWDLBHJyeAwO2XKFK3HKpUK6enpmjuAMcwSmT8hpGW6zG2U1sUFaNAAeP994KmnOCIri/xB1scHWLYMeLzslq71ZBlkiUhuBofZhw8fFtp38eJFvPTSS3jzzTeNUhQRmd6wYdJWXlQqYPt2IDlZGnUlM1QwyO7bBzRvrnmawZWIzJHBS3PpUq9ePSxatKjQqC0REVmIEoIsEZG5MkqYBQB7e3vcunXLWIcjIqLyNGkSgywRWSSDpxls3bpV67EQAomJiVi2bBk6d+5stMKIiKgcffwxcOUKsHo1gywRWRSDw+zAgQO1HisUClSpUgU9e/bEJ598Yqy6iIjI1PLyAPUqBdWrA0eOWMZSF0RE+RgcZvPy8kxRBxERlSelEnj6aeD114EhQ6R9DLJEZIFKddMEIiKyYEolEBYGHDsG/Pcf0Lcv4O4ud1VERKWiV5idNm2a3gf89NNPS10MERGZWP4g6+MD7NzJIEtEFk2vMJuQkKDXwXQtqE1ERGaiYJDlqgVEZAX0CrP79+83dR1ERGRKDLJEZKWMts4sERGZsa++YpAlIqtUqgvAjh07hh9++AHXrl1Ddna21nOxsbFGKYyIiIxo2jTg3j0gIoJBloisisEjs5s2bULnzp1x5swZbN68GSqVCmfOnMG+ffvg7e1tihqJiKg0UlIAlUr6bzs7YNEiBlkisjoGh9kPPvgAn332GX7++Wc4OTkhMjISZ8+exdChQ1G9enVT1EhERIZSKoFevYDnn38SaImIrJDBYfbSpUt4+umnAQDOzs549OgRFAoFXn/9daxatcroBRIRkYHyX+x14ABw9arcFRERmYzBYbZSpUpITU0FAFSrVg2nT58GACiVSqSnpxu3OiIiMoyuVQvq1pW7KiIikzH4ArCQkBDs3r0bzZo1w9ChQzFlyhTs27cPu3fvRmhoqClqJCIifXD5LSKyQXqH2ZMnT6Jly5ZYtmwZMjMzAQCzZs2Co6MjfvvtNwwaNAjvvPOOyQolIqJiMMgSkY3SO8y2bt0arVq1wvjx4xEREQEAsLOzw4wZMzBjxgyTFUhERHo4dw44fZpBlohsjt5zZn///Xe0bt0ab731FgICAvDCCy+U+c5gy5cvR/PmzeHl5QUvLy8EBwfj119/LfY1Bw4cQJs2beDi4oLatWtjxYoVZaqBiMgqdOwIbN/OIEtENkfvMBscHIzVq1cjKSkJy5cvx40bN9CrVy/UqVMH77//Pm7cuGHwmwcGBmLRokU4fvw4jh8/jp49eyI8PBz//POPzvaXL19Gv379EBISgoSEBMyePRuvvfYaYmJiDH5vIiKLp1TCI//fvd27M8gSkc0x+AIwV1dXjBo1CqNGjcKlS5cQHR2NlStXYt68eejduze2b9+u97EGDBig9fj999/H8uXLceTIETRp0qRQ+xUrVqB69epYsmQJAKBRo0Y4fvw4Fi9ejMGDB+t8j6ysLGRlZWkep6SkAABUKhVUVrT2ovqzWNNnkhv71LjYn0amVMKub190+fdf5LRvD7RsKXdFFo/nqPGxT43LlvrTkM+oEEKIsrxZWloavv32W8yePRtKpRK5ubmlOk5ubi5++OEHjBo1CgkJCWjcuHGhNl27dkWrVq0QGRmp2bd582YMHToU6enpcHR0LPSaefPmYf78+YX2b9iwAW5ubqWqlYhITg5paeg0fz4qXryILE9PHHrvPaTUrCl3WURERpOeno6IiAgkJyfDy8ur2LYGj8yqHThwAFFRUYiJiYG9vT2GDh2KcePGGXycU6dOITg4GJmZmfDw8MDmzZt1BlkASEpKgp+fn9Y+Pz8/5OTk4N69ewgICCj0mlmzZmHatGmaxykpKQgKCkJYWFiJnWNJVCoVdu/ejd69e+sM9WQ49qlxsT+NRKmEfb9+sLt4EcLHB4feeQcdJkxgnxoBz1HjY58aly31p/qbdH0YFGavX7+ONWvWYM2aNbh8+TI6deqEzz//HEOHDoW7u7vBhQJAgwYNcPLkSSiVSsTExGDUqFE4cOBAkYFWoVBoPVYPLBfcr+bs7AxnZ+dC+x0dHa3yRLDWzyUn9qlxsT/LQKkEnn4aOH4c8PFBzs6dSLlxg31qZOxP42OfGpct9Kchn0/vMNu7d2/s378fVapUwciRIzF27Fg0aNCgVAXm5+TkhLqP707Ttm1bHDt2DJGRkVi5cmWhtv7+/khKStLad+fOHTg4OMDHx6fMtRARmS1d68g2agSU4uJbIiJroneYdXV1RUxMDPr37w97e3uTFSSE0LpgK7/g4GBs27ZNa9+uXbvQtm1bq/8NhYhsnJ0d4OCgvY6sDVwEQkRUEr3D7NatW43+5rNnz0bfvn0RFBSE1NRUbNq0CXFxcdixYwcAab7rzZs3sXbtWgDAiy++iGXLlmHatGmYMGECDh8+jK+//hobN240em1ERGbFywvYsQO4eVMakSUiIgBluADMGG7fvo0RI0YgMTER3t7eaN68OXbs2IHevXsDABITE3Ht2jVN+1q1amH79u14/fXX8cUXX6Bq1apYunRpkctyERFZNKUS+OknYNQo6bGXl7QREZGGrGH266+/Lvb5NWvWFNrXrVs3/PnnnyaqiIhsQRHXi5qBPAAbAIyDN7KxG0A7QAq1U6bIWRgRkdnS+w5gRETWwHyDLCD9lfwCvJGE3aiDdgDuAUCPHvKWRURkxhhmichmmHeQlXhDid0IQztcwj14oicARYsWcpdFRGS2ShVm161bh86dO6Nq1aq4evUqAGDJkiX46aefjFocEZGxWE6Q7Y12OI578EFPxOMUnAAUvZY2EZGtMzjMLl++HNOmTUO/fv20bl9boUIFLFmyxNj1ERHZBEdkYxfC8gXZfTiFFgA+kbs0IiKzZnCY/fzzz7F69Wq8/fbbWuvNtm3bFqdOnTJqcUREtkIFJ2zEMNxF5cdBtvnjZ+rKWhcRkbkzOMxevnwZrVq1KrTf2dkZjx49MkpRRES2aAleR0OcyxdkAeBf2eohIrIEBofZWrVq4eTJk4X2//rrr2jcuLExaiIisgneUGIFJsEbSs2+B1Dfmls83t6QoTIiIsth8Dqzb775JiZPnozMzEwIIXD06FFs3LgRCxcuxFdffWWKGomIykwI87oIzBtK7EIY2uMYAnED/fFLvmfF4z+3AMiW9ggBIiIqzOAwO2bMGOTk5GDGjBlIT09HREQEqlWrhsjISDz//POmqJGIyCjMJdDmD7L34INZWKij1RYAgwAwyBIRFadUdwCbMGECJkyYgHv37iEvLw++vr7GrouIyCTkDrQFg6z2xV5P7gDGEVkiIv2U6aYJlStXZpAlIosjhEzbQyWU7aQgCx8fVP5rH/4WzfO1sYMQL0CILAghGGSJiPRg8MhsrVq1il28+7///itTQUREVmvUKOCYFGSxbx/QvHnJryEiomIZHGanTp2q9VilUiEhIQE7duzAm2++aay6iIisz0cfAZcvA+vXM8gSERmJwWF2ypQpOvd/8cUXOH78eJkLIiKyKvkn6TZoAJw8CdiVaYYXERHlY7S/Ufv27YuYmBhjHY6IyPIplUD37sDu3U/2McgSERmV0f5W/fHHH1GpUiVjHY6IyLIplUBYGHDwIDBuHJCVJXdFRERWyeBpBq1atdK6AEwIgaSkJNy9exdffvmlUYsjIrJI6iCrvtjr558BZ2e5qyIiskoGh9mBAwdqPbazs0OVKlXQvXt3NGzY0Fh1ERFZpoJBlqsWEBGZlEFhNicnBzVr1kSfPn3g7+9vqpqIiCwTgywRUbkzaM6sg4MDXnrpJWRx7hcRUWFLljDIEhGVM4MvAOvQoQMSEhJMUQsRkWWbMwd48UUGWSKicmTwnNmXX34Zb7zxBm7cuIE2bdrA3d1d6/nm/AuciGxJairg7i4tueXgACxfLndFREQ2Re8wO3bsWCxZsgTPPfccAOC1117TPKdQKCCEgEKhQG5urvGrJCIyR+o5sk2bAl99xTVkiYhkoHeY/eabb7Bo0SJcvnzZlPUQEVmG/Bd7/fcfcO0aULOm3FUREdkcvcOsEAIAUKNGDZMVQ0RkEXStWsAgS0QkC4O+E8t/swQiIpvE5beIiMyKQReA1a9fv8RA++DBgzIVRERkthhkiYjMjkFhdv78+fD29jZVLURE5u3ECSAhgUGWiMiMGBRmn3/+efj6+pqqFiKiMklLAyIigMOHgXv3ynKkPB377ACEoj9icfV+DZxqYXiQfXzpARERGZHeYZbzZYnInLVvL337bxxPLifwhhLeSMY1SBe//owBpT6qQsFAS0RkbHpfACb4NzARmSnjBtknvKHEbvTGQXRFTRhnWUKOCxARGZfeI7N5ebq+diMikldammmDbDscxz34wBOpRjs2R2iJiIyHt6shIos2YoTxj1kwyPbEPpwCL/YiIjJHDLNEZNEuXTLu8RhkiYgsC8MsEVm0OnWMdywGWSIiy8MwS0QWbd064x3LESo4I4tBlojIgjDMEpFF8/AA2rUzzrHuoQpCsRfdEWfSIMuLv4iIjIdhlogs3tGjpQ+03lBiEGI0j++hCv5BUyNVVhiDLBGRcTHMEpFVOHoUSE0FBgwAKlfW7zXeUGIXwhCDIRiFNfmeydOxlR2DLBGR8THMEpHV8PAAtm4F7t6VgmOx20MllO3C0B7HAB8frPmrdb7n7XRsehyzhI2IiIyPYZaIbI9SCYSFSXdb8PEB9u0DmvNiLyIiS8QwS0S2hUGWiMiqMMwSke3IyGCQJSKyMgyzRGQ7XFyAPn0YZImIrAjDLBHZDoUC+N//gNOnGWSJiKwEwyxRAQ8eAE2bPlneydtbykDmsFHJFAqF1lZBoQBefx1IT1c3APz95S2SiIiMhmGWKB9/f+kb6H/+AVQquaspzBwDrb5B3Ntbam/aXw7yAOQ+3v6DNzyxCwCWLAHGjJGri4iIyIQYZoke8/cHbt+Wu4qSmVOgNadaJHaazRsVsQsN0R7APQDNv/9e3tKIiMgkGGaJIE0tsIQgq2YOIdIcaiiK+s5e7XEM9+CDnjiIU5CmIBARkXVxkLsAInPQrZvcFRiuPHJZUXetMudMWDjI7sUpNAfgBSBF7vKIiMjIODJLBODWLbkrME/mHFqLsgnP5wuy+3AKLQAoAPwpd2lERGQCDLNEAKpWlbsC82VpgfZtvI8LqPc4yOZffquKbDUREZHpcJoBEYADB6RVDEg3hQLIyQHs7eWupCgC0ugr8CfaoDHOILfQX293y70qIiIyPY7MEgGoVAnw85O7CvPm4ADExspdRWHeUGI3eqMDjmj2aQdZ8XhrDVHUJGAiIrJYHJkleiwpyXKW55LL4MFATIx0YZg5TD9QB9l2OI5auIyGOIccOOZroQ6vDyFEshwlEhGRiXFkliifpCTg/n2gSRPA0bHk9rbo5ZeB3NyiVzooL/mD7D344FlsLhBk1R5CiErlXh8REZUPhlmiAipVAk6fBu7dkx4nJ0vBzVhbaqq8n6+sbt+WphyU78hsntbmjQdaQbYn9uAUmhZqJ43MVuLtgYmIrBjDLFE58/AA2rWTuwpLk//OXinYjT75guw+nEJLrTbaW9EYaImILB/DLJEMjh5loC2tOVhQIMg2L/lFxWCgJSKybAyzRDI5ehTYtEnuKizPHCzAt4gwSpBVY6AlIrJcDLNEMnruObkrsAyuSId6ZYIsuOAFfGu0IEtERJaNYZZIZnKvCmDuvKHEAXTDR5iBJ0ttERERSRhmicyAEMDPP8tdhfnJv/zWGESjKm7JXRIREZkZhlkiM/H008ZdAky9Xbwo9ycrnYLryPbEPtxCNbnLIiIiM8MwS2Tl6ta1vAucdAVZU86R5VQPIiLLxTBLZAPy8iwn0DLIEhGRIRhmiWxEXp405cDcQ203HEAbnCgQZAve2SvPKO/FIEtEZPkc5C6AiMpP3bpSqJWDSgVs3y7dHtjRsbiW4cC361C5WTP83Vw9Isvfu4mISDeGWSKSn1IJZGUBfn7S4+HDZS2HiIgsB4c7iEheSiUQFgb06AEkJcldDRERWRiGWSKSjzrIHjsG3LkD3Lsnd0VERGRhGGaJSB75g6yPD7BvH9C0qdxVERGRhWGYJaLypyvINjfd8ltERGS9ZA2zCxcuRLt27eDp6QlfX18MHDgQ58+fL/Y1cXFxUCgUhbZz586VU9VEVCYMskREZESyhtkDBw5g8uTJOHLkCHbv3o2cnByEhYXh0aNHJb72/PnzSExM1Gz16tUrh4qJqMzS0oD79xlkiYjIKGRdmmvHjh1aj6Ojo+Hr64sTJ06ga9euxb7W19cXFSpUMGF1RGQSgYFAXJw0QtusmdzVEBGRhTOrdWaTk5MBAJUqVSqxbatWrZCZmYnGjRtjzpw56NGjh852WVlZyMrK0jxOSUkBAKhUKqhUKiNUbR7Un8WaPpPc2KdGpFQi99AhAI/7099f2ti3ZcJz1LjYn8bHPjUuW+pPQz6jQgjzuKGjEALh4eF4+PAh4uPji2x3/vx5HDx4EG3atEFWVhbWrVuHFStWIC4uTudo7rx58zB//vxC+zds2AA3NzejfgYiKswhLQ2d5s+H96VLOD5jBhI7dpS7JCIiMnPp6emIiIhAcnIyvLy8im1rNmF28uTJ+OWXX/Dbb78hMDDQoNcOGDAACoUCW7duLfScrpHZoKAg3Lt3r8TOsSQqlQq7d+9G79694Vj8vUJJT+zT0vH29n7y30JgW1YW2goB4eODuHfeQYcJEwr1Z76XmKVt24ASZj7JgueocbE/jY99aly21J8pKSmoXLmyXmHWLKYZvPrqq9i6dSsOHjxocJAFgI4dO2L9+vU6n3N2doazs3Oh/Y6OjlZ5Iljr55IT+1R/CoVC89/eAH4C0BbAPQDeO3ci5caNQv2Z7yVmq1cv6U/z+NW/MJ6jxsX+ND72qXHZQn8a8vlkXc1ACIFXXnkFsbGx2LdvH2rVqlWq4yQkJCAgIMDI1RGRIQoG2V0A2kMKsj0BeIeE6HhNORVnJJZWLxGRLZB1ZHby5MnYsGEDfvrpJ3h6eiLp8X3Zvb294erqCgCYNWsWbt68ibVr1wIAlixZgpo1a6JJkybIzs7G+vXrERMTg5iYGNk+B5Gtyx9k3VE4yJ4C4FroNeVVnXHt2wf07Cl3FUREpCZrmF2+fDkAoHv37lr7o6OjMXr0aABAYmIirl27pnkuOzsb06dPx82bN+Hq6oomTZrgl19+Qb9+/cqrbCIqRjqA4wBq40mQtSahoeY73YCIyBbJGmb1ufZszZo1Wo9nzJiBGTNmmKgiIiorAeAVAIsAXJe5FiIisn6yzpklIuvgDWABnvx2LMAgS0RE5cMsVjMgIgumVGI3gHYA/ABMkLkcU9u7V+4KiIgoP47MElHpKZVA795oB+lir6UGvNRS553y4i8iIvPCMEtEpfM4yOL4ccDHB5X/+qvYi73Ut6vOz9ICraXVS0RkCxhmichwBYIs9u0Dmjcv8qLO4i72tISAuHevZdRJRGSLOGeWiAwjBDBwYKEg++Rpw1MfgyIREZUWR2aJyDAKBTBvHlC9eqEgS0REVN44MktkZYx3Z608HfvUv/92hyMuQtXCSe+juboCGzcapTAiIiINjswSWRHj3iLWTrN5IwXb8Aya4LTmWRX0D7L5eXsbpzoiIiKAI7NEVsO4QfYJbyixC2Foj2Oohctojr+RB/syHVOh4DxZIiIyDo7MElmB8giy9+CDYdhY5iCrVqeOUQ5DREQ2jmGWiHQqGGR7Yh9OwXgXe/33n9EORURENoxhlogKMXWQJSIiMhaGWSIq5APMZpAlIiKLwDBLRIW8hUXYigEmDbK1a5vksEREZGO4mgGRFRCi7BeBOSEL2XAGAKTCC+HYaoTKinbpkkkPT0RENoIjs0RWoixLXXlDiXiEYCYWGa+gYnBZLiIiMhaGWSIrUpqQmP9ir+lYjMq4+/iZPB1b2SUnG+UwREREABhmiayOEAZsD5VQtpOCLHx8UPmvfbgrqjx+3k7HZuDx820MsUREZAoMs0S2SqkEwsKAY1KQxb59QHOuWkBERJaFYZbIFjHIEhGRlWCYJbJF27czyBIRkVXg0lxEtigiQprE2rkzgywREVk0jswSWSmFQqG1VVAopOkFai+9VGSQbddOWrfWmJu3t3Rsb++yH8vd3fT9R0REloEjs0RWSFHgDgreAHYBOFqxIto/fAhUqFDMa01amlGkp0t1cr1aIiLiyCyRlSkqyLYHUBtA44oVi3mtKSszPkurl4iIjI9hlsiKFBdk7wHoCeCsjnaANLXAEnHKARGRbWOYJTIxY889LXrLA5Cr2bxxH7vQ7nGQ9UFPJOBUvufVr1M7flyO3im79HS5KyAiIjlxziyRCZXv1+BPfjeVblH7FNrj2OMguw+noPtiL849JSIiS8aRWSITkXM+ZxXcRRCulxhk1Tj3lIiILBVHZolMQO5w+C/qoTvi4IysEoOspXNzk7sCIiKSE8MskZXwhhJNcRq/owsA4AIayFxR+Xj0SO4KiIhITgyzRFbAG0rsRm80xWkMwDbsRa9SHUcI+UeVDcG5vpYpNxeIjwcSE4GAACAkBLC3197v6yu1vXNHuuvy338Dv/0m/fLSti3QqxfQvbv0uuKOqX4uLk7aAOl1ISHAoUPa7YnIMjHMElk4dZBth+O4Bx/cgW+ZjieEtEyXOa9u4ObGEVlLFRsLTJkC3LjxZF9gIDBsGLBxo/b+ouzZAyxaJIXcVaukfbqOGRkp/ffEicD9+0+eW7AAsLMD8vIKt1cHYCKyHAyzRBasYJDV52Kv4pRlVLakUVKVCti+HUhOBhwdS/8+ZLliY4EhQwqfKzduAB9/bPjx7t8HBg/W/dzNm0U/B2gHWXX7ESOADRsMr4OI5MXVDIhMoDy+/jZ2kC0rS5qeQOUvN1caPS2vqSGGvk/+9rm5xq2FiEyLYZbIREz5j7YnUswqyKox0FJR4uP1m0IgJ/X/s4cPy1sHERmGYZbIhIwTaAsfJB1uuIQ6ZhVk1RhoSZfERLkr0F9SktwVEJEhOGeWyMRKG2ifhMLC6TAXDngB61Ed13AZtUtdG1F5CQiQuwL9+fvLXQERGYIjs0QWwhtKvIWFUEC6ciUXDgyyZDFCQqQVA8x55F5dW3CwvHUQkWEYZoksgDeU2IUwLMRsLMZ0ucshMpi9/ZOlskwRaAse09D3yN+ey3MRWRaGWSIz1bu39Kc3HmIXwtAex3APPliD0bLWRVRagwYBP/4IVKumvT8oCHjzTWnk1hA+PkBMjLQVPGZg4JPnfHwKv9bOrnD7desMe38iMg+cM0tkpnbtAioolNiFPpoga24Xe+nCu3JRcQYNAsLDdd+ta+HC0t8BrKhjqp/T5w5geXnSWshEZFkYZonMlVIJZbsw4BiDLFkXe3spUOq7HwDCwoDpxcywKe619vZAaKi05VewfcEbKRCRZeA0AyJzlJcH9O8PHDsG+Pjg7Y7qIJunYzMPDLJERCQHhlkic2RnJ00iDAgA9u3DysPNIQQghJ2ODWaxERERyYFhlqgUVq6Urn42zpanYwMUA8PhlvgvFC2al+q4REREtoBhlshACgXw4ovGPKIdADt4IwU/YChq4qrmmQy4lfqoDLRERGQLeAEYkQFMFRDV68i2xzHUxBW0wzHouvOXoRQKTgEgIiLrxpFZIj2tXGma4+YPsvfgg7GIgjGCrBpHaImIyJoxzBLpybhTCyQFg6wlLL9FRERkThhmiWTCIEtERFR2DLNEMvkMrzPIEhERlRHDLJGeVqww7vHexMfYi54MskRERGXAMEukp0mTyn4Me+Ro/vs+KqMX9po8yHI1AyIismYMs0QGKEsw9IYSv6ELxmO18QoqAYMsERFZO4ZZIgMJYfiUA/XFXh3xB97H2/CGMt+zeTo249RJRERk7RhmiUph0iQpLOq1PVRC2U5atQA+PvD9aw+UokK+NnY6NgOOX8RGRERkCxhmiUxJqQTCwoBjUpDFvn1Ac17sRUREZCwMs0SmwiBLRERkcgyzRKby3XcMskRERCbmIHcBRFZr4kTgwQPg6acZZImIiEyEYZbImJRKwMkJcHMDFApg1iy5KyIiIrJqnGZAZCxKJdC7NzBgAJCeLnc1RERENoFhlsgY1EH2+HHgr7+Aa9fkroiIiMgmMMwSlVX+IKu+2KthQ7mrIiIisgkMs0RloSvI8mIvIiKicsMwS1RaDLJERESyY5glKq1r14B//2WQJSIikhGX5iIqrebNgT17AEdHBlkiIiKZMMwSGUKpBP77D2jdWnrcpo2s5RAREdk6TjMg0pdSCYSFAd27A0eOyF0NERERgWGWSD/qIHvs2JM7fBEREZHsZA2zCxcuRLt27eDp6QlfX18MHDgQ58+fL/F1Bw4cQJs2beDi4oLatWtjxYoV5VAt2az8QZYXexEREZkVWcPsgQMHMHnyZBw5cgS7d+9GTk4OwsLC8OjRoyJfc/nyZfTr1w8hISFISEjA7Nmz8dprryEmJqYcKydb4ZCWBvt+/RhkiYiIzJSsF4Dt2LFD63F0dDR8fX1x4sQJdO3aVedrVqxYgerVq2PJkiUAgEaNGuH48eNYvHgxBg8ebOqSyZYkJ6PT/Pmwu3iRQZaIiMhMmdVqBsnJyQCASpUqFdnm8OHDCAsL09rXp08ffP3111CpVHB0dNR6LisrC1lZWZrHKSkpAACVSgWVSmWs0mWn/izW9JnkprKzQ7aHB4SPD3J27gQaNQLYv6XGc9T42KfGxf40PvapcdlSfxryGRVCCGHCWvQmhEB4eDgePnyI+Pj4ItvVr18fo0ePxuzZszX7Dh06hM6dO+PWrVsICAjQaj9v3jzMnz+/0HE2bNgAN17EQyWwy86G6927eFStmtylEBER2Yz09HREREQgOTkZXl5exbY1m5HZV155BX///Td+++23EtsqFAqtx+o8XnA/AMyaNQvTpk3TPE5JSUFQUBDCwsJK7BxLolKpsHv3bvTu3bvQ6DQZQKmE3bffIu/ll6HKycHu3bvRafRo9qkR8Bw1PvapcbE/jY99aly21J/qb9L1YRZh9tVXX8XWrVtx8OBBBAYGFtvW398fSUlJWvvu3LkDBwcH+Pj4FGrv7OwMZ2fnQvsdHR2t8kSw1s9VLpRK4OmngWPHYJ+cDDwe/WefGhf70/jYp8bF/jQ+9qlx2UJ/GvL5ZF3NQAiBV155BbGxsdi3bx9q1apV4muCg4Oxe/durX27du1C27Ztrf4HSyZUcPmtZ5+VuyIiIiLSg6xhdvLkyVi/fj02bNgAT09PJCUlISkpCRkZGZo2s2bNwsiRIzWPX3zxRVy9ehXTpk3D2bNnERUVha+//hrTp0+X4yOQNeA6skRERBZL1jC7fPlyJCcno3v37ggICNBs3333naZNYmIirl27pnlcq1YtbN++HXFxcWjZsiXee+89LF26lMtyUekwyBIREVk0WefM6rOQwpo1awrt69atG/78808TVEQ2JTcX6NuXQZaIiMiCyToySyQre3vgpZcAX18GWSIiIgvFMEu2beRI4OJFBlkiIiILxTBLtkWpBEaMAPIv72ZF6w0TERHZGrNYZ5aoXOS/2OvqVeDAAUDHjTaIiIjIcnBklmxDwVULli1jkCUiIrICDLNk/bj8FhERkdVimCXrxiBLRERk1Rhmybq9+CKDLBERkRVjmCXr9vHHQIcODLJERERWiqsZkPXJywPsHv+eFhQEHD7Mi72IiIisFEdmyboolUCXLsAPPzzZxyBLRERktTgyS9ZDqQR69waOHwcuXwb69QPc3eWuioiIiEyII7NkHfIHWR8fYOdOBlkiIiIbwDBLlq9gkOXFXkRERDaDYZYsG4MsERGRTWOYJcv21VcMskRERDaMF4CRZZs2Dbh3D4iIYJAlIiKyQQyzZHmSkwFXV8DJSVpPdtEiuSsiIiIimXCaAVkW9RzZ558HsrPlroaIiIhkxjBLlkOpBMLCgGPHgIMHgWvX5K6IiIiIZMYwS5Yhf5BVX+xVt67cVREREZHMGGbJ/OkKsrzYi4iIiMAwS+aOQZaIiIiKwTBL5u3cOeD0aQZZIiIi0olLc5F569gR2L4dqFSJQZaIiIgKYZgl86NUAklJQMOG0uPu3eWshoiIiMwYpxmQeVHPke3aVZpeQERERFQMjsySbNLS0jBixAhcunQJderUwbrPP4fHoEFPLvbKy5O7RCKbk5sLxMcDN28Cd+8CVaoA1aoBISGAvX3htnFx0gZIX6J07164HRGRKTHMkizat2+PY8eOaR5fO3UKZ7ZsQXuAF3sRySQ2FpgyBbhxo/BzgYFAZCQwaNCTthMnAvfvP2mzYIH0v++qVU/aERGZGqcZULkrGGS9AewC0B7APQAR/v4MskTlLDYWGDJEd5AFpP1DhkjtYmOBwYO1g6za/fvSc7Gxpq2XiEiNYZbKVVpaWrFBtieAjf/8g7S0NHkKJLJBubnSiKwQxbcTQmr32mslH3PKFOm4RESmxjBL5WrEiBFaj3MBqPAkyJ4qoh0RmU58fNEjsgXduCHNp9WnXXx82eoiItIH58xSubp06ZLW4zQATwEIBHCumHZEZDqJiZZ1XCKi/DgyS+WqTp06hfalQTvIFtWOiEwjIMCyjktElB/DLJWrdevWGbUdEZVdSIi0WoFCUXLbwEBpqS592oWElL02IqKSMMxSufLw8EC7du2KbdOuXTt4eHiUU0VEZG8vLbtVEoVCard0acltIyO53iwRlQ+GWSp3R48eLTLQtmvXDkePHi3nioho0CDgxx+lEVVdgoKk5wcNkraYGGlN2YJ8fKTnuM4sEZUXXgBGsjh69GjhO4CtW8cRWSIZDRoEhIfrdwcwdVveAYyI5MYwS7Lx8PDA5s2b5S6DiPKxt5cCqb5tQ0OljYhILpxmQEREREQWi2GWiIiIiCwWwywRERERWSyGWSIiIiKyWAyzRERERGSxGGaJiIiIyGIxzBIRERGRxWKYJSIiIiKLxTBLRERERBaLYZaIiIiILBbDLBERERFZLIZZIiIiIrJYDLNEREREZLEc5C6gvAkhAAApKSkyV2JcKpUK6enpSElJgaOjo9zlWAX2qXGxP42PfWpc7E/jY58aly31pzqnqXNbcWwuzKampgIAgoKCZK6EiIiIiIqTmpoKb2/vYtsohD6R14rk5eXh1q1b8PT0hEKhkLsco0lJSUFQUBCuX78OLy8vucuxCuxT42J/Gh/71LjYn8bHPjUuW+pPIQRSU1NRtWpV2NkVPyvW5kZm7ezsEBgYKHcZJuPl5WX1J3h5Y58aF/vT+NinxsX+ND72qXHZSn+WNCKrxgvAiIiIiMhiMcwSERERkcVimLUSzs7OmDt3LpydneUuxWqwT42L/Wl87FPjYn8aH/vUuNifutncBWBEREREZD04MktEREREFothloiIiIgsFsMsEREREVkshlkiIiIislgMsxbi4MGDGDBgAKpWrQqFQoEtW7YU2z4uLg4KhaLQdu7cufIp2MwtXLgQ7dq1g6enJ3x9fTFw4ECcP3++xNcdOHAAbdq0gYuLC2rXro0VK1aUQ7XmrzT9yXO0eMuXL0fz5s01i6MHBwfj119/LfY1PD+LZmh/8vw0zMKFC6FQKDB16tRi2/Ec1Z8+fcrzVMIwayEePXqEFi1aYNmyZQa97vz580hMTNRs9erVM1GFluXAgQOYPHkyjhw5gt27dyMnJwdhYWF49OhRka+5fPky+vXrh5CQECQkJGD27Nl47bXXEBMTU46Vm6fS9Kcaz1HdAgMDsWjRIhw/fhzHjx9Hz549ER4ejn/++Udne56fxTO0P9V4fpbs2LFjWLVqFZo3b15sO56j+tO3T9Vs/jwVZHEAiM2bNxfbZv/+/QKAePjwYbnUZOnu3LkjAIgDBw4U2WbGjBmiYcOGWvsmTZokOnbsaOryLI4+/clz1HAVK1YUX331lc7neH4arrj+5Pmpn9TUVFGvXj2xe/du0a1bNzFlypQi2/Ic1Y8hfcrzVMKRWSvXqlUrBAQEIDQ0FPv375e7HLOVnJwMAKhUqVKRbQ4fPoywsDCtfX369MHx48ehUqlMWp+l0ac/1XiOliw3NxebNm3Co0ePEBwcrLMNz0/96dOfajw/izd58mQ8/fTT6NWrV4lteY7qx5A+VbP189RB7gLINAICArBq1Sq0adMGWVlZWLduHUJDQxEXF4euXbvKXZ5ZEUJg2rRp6NKlC5o2bVpku6SkJPj5+Wnt8/PzQ05ODu7du4eAgABTl2oR9O1PnqMlO3XqFIKDg5GZmQkPDw9s3rwZjRs31tmW52fJDOlPnp8l27RpE/78808cO3ZMr/Y8R0tmaJ/yPJUwzFqpBg0aoEGDBprHwcHBuH79OhYvXmxTJ7g+XnnlFfz999/47bffSmyrUCi0HovHN9AruN+W6dufPEdL1qBBA5w8eRJKpRIxMTEYNWoUDhw4UGQA4/lZPEP6k+dn8a5fv44pU6Zg165dcHFx0ft1PEeLVpo+5Xkq4TQDG9KxY0dcvHhR7jLMyquvvoqtW7di//79CAwMLLatv78/kpKStPbduXMHDg4O8PHxMWWZFsOQ/tSF56g2Jycn1K1bF23btsXChQvRokULREZG6mzL87NkhvSnLjw/nzhx4gTu3LmDNm3awMHBAQ4ODjhw4ACWLl0KBwcH5ObmFnoNz9HilaZPdbHF85QjszYkISGBX+M8JoTAq6++is2bNyMuLg61atUq8TXBwcHYtm2b1r5du3ahbdu2cHR0NFWpFqE0/akLz9HiCSGQlZWl8zmen4Yrrj914fn5RGhoKE6dOqW1b8yYMWjYsCFmzpwJe3v7Qq/hOVq80vSpLjZ5nsp26RkZJDU1VSQkJIiEhAQBQHz66aciISFBXL16VQghxFtvvSVGjBihaf/ZZ5+JzZs3iwsXLojTp0+Lt956SwAQMTExcn0Es/LSSy8Jb29vERcXJxITEzVbenq6pk3BPv3vv/+Em5ubeP3118WZM2fE119/LRwdHcWPP/4ox0cwK6XpT56jxZs1a5Y4ePCguHz5svj777/F7NmzhZ2dndi1a5cQguenoQztT56fhit45T3P0bIrqU95nkoYZi2EevmNgtuoUaOEEEKMGjVKdOvWTdP+ww8/FHXq1BEuLi6iYsWKokuXLuKXX36Rp3gzpKsvAYjo6GhNm4J9KoQQcXFxolWrVsLJyUnUrFlTLF++vHwLN1Ol6U+eo8UbO3asqFGjhnBychJVqlQRoaGhmuAlBM9PQxnanzw/DVcwePEcLbuS+pTnqUQhxOPZ10REREREFoYXgBERERGRxWKYJSIiIiKLxTBLRERERBaLYZaIiIiILBbDLBERERFZLIZZIiIiIrJYDLNEREREZLEYZomIiIjIYjHMEhFZmHnz5qFly5aax6NHj8bAgQPLvY4rV65AoVDg5MmT5f7eRERqDLNEREYyevRoKBQKKBQKODo6onbt2pg+fToePXpk0veNjIzEmjVr9GrLAEpE1sZB7gKIiKzJU089hejoaKhUKsTHx2P8+PF49OgRli9frtVOpVLB0dHRKO/p7e1tlOMQEVkijswSERmRs7Mz/P39ERQUhIiICAwfPhxbtmzRTA2IiopC7dq14ezsDCEEkpOTMXHiRPj6+sLLyws9e/bEX3/9pXXMRYsWwc/PD56enhg3bhwyMzO1ni84zSAvLw8ffvgh6tatC2dnZ1SvXh3vv/8+AKBWrVoAgFatWkGhUKB79+6a10VHR6NRo0ZwcXFBw4YN8eWXX2q9z9GjR9GqVSu4uLigbdu2SEhIMGLPERGVDkdmiYhMyNXVFSqVCgDw77//4vvvv0dMTAzs7e0BAE8//TQqVaqE7du3w9vbGytXrkRoaCguXLiASpUq4fvvv8fcuXPxxRdfICQkBOvWrcPSpUtRu3btIt9z1qxZWL16NT777DN06dIFiYmJOHfuHAApkLZv3x579uxBkyZN4OTkBABYvXo15s6di2XLlqFVq1ZISEjAhAkT4O7ujlGjRuHRo0fo378/evbsifXr1+Py5cuYMmWKiXuPiKhkDLNERCZy9OhRbNiwAaGhoQCA7OxsrFu3DlWqVAEA7Nu3D6dOncKdO3fg7OwMAFi8eDG2bNmCH3/8ERMnTsSSJUswduxYjB8/HgCwYMEC7Nmzp9DorFpqaioiIyOxbNkyjBo1CgBQp04ddOnSBQA07+3j4wN/f3/N69577z188sknGDRoEABpBPfMmTNYuXIlRo0ahW+//Ra5ubmIioqCm5sbmjRpghs3buCll14ydrcRERmE0wyIiIzo559/hoeHB1xcXBAcHIyuXbvi888/BwDUqFFDEyYB4MSJE0hLS4OPjw88PDw02+XLl3Hp0iUAwNmzZxEcHKz1HgUf53f27FlkZWVpArQ+7t69i+vXr2PcuHFadSxYsECrjhYtWsDNzU2vOoiIygtHZomIjKhHjx5Yvnw5HB0dUbVqVa2LvNzd3bXa5uXlISAgAHFxcYWOU6FChVK9v6urq8GvycvLAyBNNejQoYPWc+rpEEKIUtVDRGRqDLNEREbk7u6OunXr6tW2devWSEpKgoODA2rWrKmzTaNGjXDkyBGMHDlSs+/IkSNFHrNevXpwdXXF3r17NVMT8lPPkc3NzdXs8/PzQ7Vq1fDff/9h+PDhOo/buHFjrFu3DhkZGZrAXFwdRETlhdMMiIhk0qtXLwQHB2PgwIHYuXMnrly5gkOHDmHOnDk4fvw4AGDKlCmIiopCVFQULly4gLlz5+Kff/4p8pguLi6YOXMmZsyYgbVr1+LSpUs4cuQIvv76awCAr68vXF1dsWPHDty+fRvJyckApBsxLFy4EJGRkbhw4QJOnTqF6OhofPrppwCAiIgI2NnZYdy4cThz5gy2b9+OxYsXm7iHiIhKxjBLRCQThUKB7du3o2vXrhg7dizq16+P559/HleuXIGfnx8A4LnnnsO7776LmTNnok2bNrh69WqJF1298847eOONN/Duu++iUaNGeO6553Dnzh0AgIODA5YuXYqVK1eiatWqCA8PBwCMHz8eX331FdasWYNmzZqhW7duWLNmjWYpLw8PD2zbtg1nzpxBq1at8Pbbb+PDDz80Ye8QEelHITgRioiIiIgsFEdmiYiIiMhiMcwSERERkcVimCUiIiIii8UwS0REREQWi2GWiIiIiCwWwywRERERWSyGWSIiIiKyWAyzRERERGSxGGaJiIiIyGIxzBIRERGRxWKYJSIiIiKL9f9rxKFroy2e4AAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Metric Results Across Folds: ----\n",
      "{'mean_squared_error': [0.051827064038488656], 'root_mean_squared_error': [0.22765558204992176], 'mean_absolute_error': [0.1524344070406574], 'r2_score': [0.4320040579247001]}\n",
      "True values: [2.15818065 2.22795189 2.29070772 ... 2.22795189 2.61445676 2.38347679]\n",
      "Predictions: [2.2484229  2.26695022 2.40162797 ... 2.2994889  2.29364598 2.34675233]\n",
      "Average MSE score: 0.051827064038488656\n",
      "Average r2 score: 0.4320040579247001\n",
      "Average baseline MSE: 0.09124548293272468\n",
      "Average baseline r2: 0.0\n"
     ]
    }
   ],
   "source": [
    "test_years = [2017]\n",
    "true_values, predicted_values = train_test_model(test_years, LinearRegression(), X.values, y.values, metrics = metrics)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5d1a573-1481-4369-9cf7-c36c0bc0362c",
   "metadata": {},
   "source": [
    "### Test on 2015-2017"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "0022f533-ef07-41df-b8f3-f863a802ff14",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- Year = 2015 --- \n",
      "MSE: 0.049038598063627384\n",
      "r2 score: 0.4582821121997448\n",
      "Baseline MSE: 0.09052423626392993\n",
      "Baseline R2: 0.0\n",
      "\n",
      " --- Year = 2016 --- \n",
      "MSE: 0.05249819915053568\n",
      "r2 score: 0.43277314255500043\n",
      "Baseline MSE: 0.09255238615993443\n",
      "Baseline R2: 0.0\n",
      "\n",
      " --- Year = 2017 --- \n",
      "MSE: 0.05268596960748541\n",
      "r2 score: 0.4225909281851158\n",
      "Baseline MSE: 0.09124548293272468\n",
      "Baseline R2: 0.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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2228bI0eONAIDAx3qsrKyjIceesho3LixYbPZjBEjRhiff/55meN4/Phx48EHHzS8vLwMDw8Po2/fvkZ6eroRGBho//NWXj8nTpwwYmJijLZt2xru7u5Gw4YNjTvuuMOYP3++cfHixaseVwCoLRbDuMrjwgAAAAAAtYbvtAEAAACAiRHaAAAAAMDECG0AAAAAYGKENgAAAAAwMUIbAAAAAJgYoQ0AAAAATIwf177BSkpKlJmZKQ8Pj2r/wVQAAAAANw/DMHT69GkFBASoXr0r308jtN1gmZmZat68eW23AQAAAMAkMjIy1KxZsyuuJ7TdYB4eHpIunRhPT89a7gYAAABAbcnPz1fz5s3tGeFKCG03WOmUSE9PT0IbAAAAgKt+bYoHkQAAAACAiRHaAAAAAMDECG0AAAAAYGKENgAAAAAwMUIbAAAAAJgYoQ0AAAAATIzQBgAAAAAmRmgDAAAAABMjtAEAAACAiRHaAAAAAMDECG0AAAAAYGKENgAAAAAwMUIbAAAAAJgYoQ0AAAAATIzQBgAAAAAmRmgDgP8xxSVGbbfgwGz9AABws6lf2w0AAKqXUz2LJq5J07c5Z2q7FbX2aai/DO9Q220AAHBTI7QBwP+gb3POaH9mfm23AQAAqgHTIwEAAADAxAhtAAAAAGBihDYAAAAAMDFCGwAAAACYGKENAAAAAEyM0AYAAAAAJkZoAwAAAAATI7QBAAAAgIkR2gAAAADAxAhtAAAAAGBihDYAAAAAMDFCGwAAAACYGKENAAAAAEyM0AYAAAAAJkZoAwAAAAATI7QBAAAAgIkR2gAAAADAxAhtAAAAAGBihDYAAAAAMDFCGwAAAACYGKENAAAAAEyM0AYAAAAAJkZoAwAAAAATI7QBAAAAgIkR2gAAAADAxAhtAAAAAGBihDYAAAAAMDFCGwAAAACYGKENAAAAAEysVkPbxYsX9cc//lFBQUFydXXVr371K7344osqKSmx1xiGobi4OAUEBMjV1VU9e/bU/v37HfZTWFio8ePHy9vbW+7u7ho0aJCOHz/uUJObm6vo6GjZbDbZbDZFR0fr1KlTDjXHjh3TwIED5e7uLm9vb02YMEFFRUUONV999ZXCwsLk6uqqW265RS+++KIMw6jeAwMAAAAA/1WroW3WrFl64403tGjRIn399deaPXu25syZo4ULF9prZs+erfj4eC1atEi7d++Wn5+fevfurdOnT9trJk2apMTERK1Zs0bbt2/XmTNnFBkZqeLiYntNVFSU9u7dq6SkJCUlJWnv3r2Kjo62ry8uLtaAAQNUUFCg7du3a82aNXr//fc1efJke01+fr569+6tgIAA7d69WwsXLtTcuXMVHx9fw0cKAAAAQF1lMWrxNlFkZKR8fX21dOlS+7IHH3xQbm5uevfdd2UYhgICAjRp0iQ9++yzki7dVfP19dWsWbM0ZswY5eXlqWnTpnr33Xc1bNgwSVJmZqaaN2+ujz76SH369NHXX3+tdu3aaefOnercubMkaefOneratav+85//KDg4WB9//LEiIyOVkZGhgIAASdKaNWsUExOjnJwceXp6avHixXr++ed14sQJWa1WSdKrr76qhQsX6vjx47JYLFf9zPn5+bLZbMrLy5Onp2e1Hk8AKDXgtU+1PzO/ttvQ7QGeWj/h3tpuAwAAU7rWbFCrd9p69OihjRs36tChQ5KkL7/8Utu3b1f//v0lSYcPH1Z2drYiIiLs21itVoWFhWnHjh2SpD179ujChQsONQEBAQoJCbHXpKamymaz2QObJHXp0kU2m82hJiQkxB7YJKlPnz4qLCzUnj177DVhYWH2wFZak5mZqSNHjpT7GQsLC5Wfn+/wAgAAAIBrVb82B3/22WeVl5entm3bysnJScXFxXrllVf0yCOPSJKys7MlSb6+vg7b+fr66ujRo/YaFxcXeXl5lakp3T47O1s+Pj5lxvfx8XGouXwcLy8vubi4ONS0bNmyzDil64KCgsqMMXPmTE2fPv3qBwMAAAAAylGrd9r+/ve/a8WKFVq1apW++OILLV++XHPnztXy5csd6i6fdmgYxlWnIl5eU159ddSUzi69Uj/PP/+88vLy7K+MjIwK+wYAAACAX6rVO21/+MMf9Nxzz2n48OGSpPbt2+vo0aOaOXOmRo4cKT8/P0mX7mL5+/vbt8vJybHf4fLz81NRUZFyc3Md7rbl5OSoW7du9poTJ06UGf/kyZMO+/nss88c1ufm5urChQsONaV33X45jlT2bmApq9XqMJ0SAAAAACqjVu+0nT17VvXqObbg5ORkf+R/UFCQ/Pz8lJKSYl9fVFSkrVu32gNZp06d5Ozs7FCTlZWl9PR0e03Xrl2Vl5enXbt22Ws+++wz5eXlOdSkp6crKyvLXpOcnCyr1apOnTrZa7Zt2+bwMwDJyckKCAgoM20SAAAAAKpDrYa2gQMH6pVXXtH69et15MgRJSYmKj4+XoMHD5Z0acrhpEmTNGPGDCUmJio9PV0xMTFyc3NTVFSUJMlms2nUqFGaPHmyNm7cqLS0NI0YMULt27fX/fffL0m67bbb1LdvX40ePVo7d+7Uzp07NXr0aEVGRio4OFiSFBERoXbt2ik6OlppaWnauHGjpkyZotGjR9uf5BIVFSWr1aqYmBilp6crMTFRM2bMUGxs7DU9ORIAAAAAKqtWp0cuXLhQf/rTnzR27Fjl5OQoICBAY8aM0Z///Gd7zTPPPKNz585p7Nixys3NVefOnZWcnCwPDw97zfz581W/fn0NHTpU586dU3h4uBISEuTk5GSvWblypSZMmGB/yuSgQYO0aNEi+3onJyetX79eY8eOVffu3eXq6qqoqCjNnTvXXmOz2ZSSkqJx48YpNDRUXl5eio2NVWxsbE0eJgAAAAB1WK3+TltdxO+0AbgR+J02AADM76b4nTYAAAAAQMUIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAKgxTRtaVVxi1HYbdmbqBQCAa1W/thsAAPzv8nStL6d6Fk1ck6Zvc87Uai+tfRrqL8M71GoPAABUBaENAFDjvs05o/2Z+bXdBgAAN6Vanx75ww8/aMSIEWrSpInc3Nx01113ac+ePfb1hmEoLi5OAQEBcnV1Vc+ePbV//36HfRQWFmr8+PHy9vaWu7u7Bg0apOPHjzvU5ObmKjo6WjabTTabTdHR0Tp16pRDzbFjxzRw4EC5u7vL29tbEyZMUFFRkUPNV199pbCwMLm6uuqWW27Riy++KMNgug0AAACAmlGroS03N1fdu3eXs7OzPv74Yx04cEDz5s1To0aN7DWzZ89WfHy8Fi1apN27d8vPz0+9e/fW6dOn7TWTJk1SYmKi1qxZo+3bt+vMmTOKjIxUcXGxvSYqKkp79+5VUlKSkpKStHfvXkVHR9vXFxcXa8CAASooKND27du1Zs0avf/++5o8ebK9Jj8/X71791ZAQIB2796thQsXau7cuYqPj6/ZAwUAAACgzqrV6ZGzZs1S8+bNtWzZMvuyli1b2v/bMAwtWLBAU6dO1ZAhQyRJy5cvl6+vr1atWqUxY8YoLy9PS5cu1bvvvqv7779fkrRixQo1b95cGzZsUJ8+ffT1118rKSlJO3fuVOfOnSVJS5YsUdeuXXXw4EEFBwcrOTlZBw4cUEZGhgICAiRJ8+bNU0xMjF555RV5enpq5cqVOn/+vBISEmS1WhUSEqJDhw4pPj5esbGxslgsZT5jYWGhCgsL7e/z85keBAAAAODa1eqdtnXr1ik0NFQPP/ywfHx81KFDBy1ZssS+/vDhw8rOzlZERIR9mdVqVVhYmHbs2CFJ2rNnjy5cuOBQExAQoJCQEHtNamqqbDabPbBJUpcuXWSz2RxqQkJC7IFNkvr06aPCwkL7dM3U1FSFhYXJarU61GRmZurIkSPlfsaZM2fap2TabDY1b968qocLAAAAQB1Uq6Ht+++/1+LFi9WmTRt98sknevLJJzVhwgS98847kqTs7GxJkq+vr8N2vr6+9nXZ2dlycXGRl5dXhTU+Pj5lxvfx8XGouXwcLy8vubi4VFhT+r605nLPP/+88vLy7K+MjIyrHBUAAAAA+P9qdXpkSUmJQkNDNWPGDElShw4dtH//fi1evFiPPfaYve7yaYeGYZQ7FbGimvLqq6Om9CEkV+rHarU63JkDAAAAgMqo1Ttt/v7+ateuncOy2267TceOHZMk+fn5SSp7FysnJ8d+h8vPz09FRUXKzc2tsObEiRNlxj958qRDzeXj5Obm6sKFCxXW5OTkSCp7NxAAAAAAqkOthrbu3bvr4MGDDssOHTqkwMBASVJQUJD8/PyUkpJiX19UVKStW7eqW7dukqROnTrJ2dnZoSYrK0vp6en2mq5duyovL0+7du2y13z22WfKy8tzqElPT1dWVpa9Jjk5WVarVZ06dbLXbNu2zeFnAJKTkxUQEODwABUAAAAAqC61Gtp+//vfa+fOnZoxY4a+/fZbrVq1Sn/72980btw4SZemHE6aNEkzZsxQYmKi0tPTFRMTIzc3N0VFRUmSbDabRo0apcmTJ2vjxo1KS0vTiBEj1L59e/vTJG+77Tb17dtXo0eP1s6dO7Vz506NHj1akZGRCg4OliRFRESoXbt2io6OVlpamjZu3KgpU6Zo9OjR8vT0lHTpZwOsVqtiYmKUnp6uxMREzZgx44pPjgQAAACA61Wr32m7++67lZiYqOeff14vvviigoKCtGDBAj366KP2mmeeeUbnzp3T2LFjlZubq86dOys5OVkeHh72mvnz56t+/foaOnSozp07p/DwcCUkJMjJycles3LlSk2YMMH+lMlBgwZp0aJF9vVOTk5av369xo4dq+7du8vV1VVRUVGaO3euvcZmsyklJUXjxo1TaGiovLy8FBsbq9jY2Jo8TAAAAADqMItR+iQN3BD5+fmy2WzKy8uz38EDgOo24LVPtT+z9n8XctCd/nrtkY6m6Of2AE+tn3BvrfYAAMAvXWs2qNXpkQAAAACAihHaAAAAAMDECG0AAAAAYGKENgAAAAAwMUIbAAAAAJgYoQ0AAAAATIzQBgAAAAAmRmgDAAAAABMjtAEAAACAiRHaAAAAAMDECG0AAAAAYGKENgAAAAAwMUIbAAAAAJgYoQ0AAAAATIzQBgAAAAAmRmgDAAAAABOrUmg7fPhwdfcBAAAAAChHlUJb69at1atXL61YsULnz5+v7p4AAAAAAP9VpdD25ZdfqkOHDpo8ebL8/Pw0ZswY7dq1q7p7AwAAAIA6r0qhLSQkRPHx8frhhx+0bNkyZWdnq0ePHrr99tsVHx+vkydPVnefAAAAAFAnXdeDSOrXr6/BgwfrH//4h2bNmqXvvvtOU6ZMUbNmzfTYY48pKyuruvoEAAAAgDrpukLb559/rrFjx8rf31/x8fGaMmWKvvvuO23atEk//PCDHnjggerqEwAAAADqpPpV2Sg+Pl7Lli3TwYMH1b9/f73zzjvq37+/6tW7lAGDgoL05ptvqm3bttXaLAAAAADUNVUKbYsXL9Zvf/tbPf744/Lz8yu3pkWLFlq6dOl1NQcAAAAAdV2VQts333xz1RoXFxeNHDmyKrsHAAAAAPxXlb7TtmzZMv3zn/8ss/yf//ynli9fft1NAQAAAAAuqVJoe/XVV+Xt7V1muY+Pj2bMmHHdTQEAAAAALqlSaDt69KiCgoLKLA8MDNSxY8euuykAAAAAwCVVCm0+Pj7at29fmeVffvmlmjRpct1NAQAAAAAuqVJoGz58uCZMmKDNmzeruLhYxcXF2rRpkyZOnKjhw4dXd48AAAAAUGdV6emRL7/8so4eParw8HDVr39pFyUlJXrsscf4ThsAAAAAVKMqhTYXFxf9/e9/10svvaQvv/xSrq6uat++vQIDA6u7PwAAAACo06oU2krdeuutuvXWW6urFwAAAADAZaoU2oqLi5WQkKCNGzcqJydHJSUlDus3bdpULc0BAAAAQF1XpdA2ceJEJSQkaMCAAQoJCZHFYqnuvgAAAAAAqmJoW7Nmjf7xj3+of//+1d0PAAAAAOAXqvTIfxcXF7Vu3bq6ewEAAAAAXKZKoW3y5Mn6y1/+IsMwqrsfAAAAAMAvVGl65Pbt27V582Z9/PHHuv322+Xs7Oywfu3atdXSHAAAAADUdVUKbY0aNdLgwYOruxcAAAAAwGWqFNqWLVtW3X0AAAAAAMpRpe+0SdLFixe1YcMGvfnmmzp9+rQkKTMzU2fOnKm25gAAAACgrqvSnbajR4+qb9++OnbsmAoLC9W7d295eHho9uzZOn/+vN54443q7hMAAAAA6qQq3WmbOHGiQkNDlZubK1dXV/vywYMHa+PGjdXWHAAAAADUdVV+euS///1vubi4OCwPDAzUDz/8UC2NAQAAAACqeKetpKRExcXFZZYfP35cHh4e190UAAAAAOCSKoW23r17a8GCBfb3FotFZ86c0bRp09S/f//q6g0AAAAA6rwqTY+cP3++evXqpXbt2un8+fOKiorSN998I29vb61evbq6ewQAAACAOqtKoS0gIEB79+7V6tWr9cUXX6ikpESjRo3So48+6vBgEgAAAADA9alSaJMkV1dX/fa3v9Vvf/vb6uwHAAAAAPALVQpt77zzToXrH3vssSo1AwAAAABwVKXQNnHiRIf3Fy5c0NmzZ+Xi4iI3NzdCGwAAAABUkyo9PTI3N9fhdebMGR08eFA9evTgQSQAAAAAUI2qFNrK06ZNG7366qtl7sIBAAAAAKqu2kKbJDk5OSkzM7M6dwkAAAAAdVqVvtO2bt06h/eGYSgrK0uLFi1S9+7dq6UxAAAAAEAVQ9tvfvMbh/cWi0VNmzbVr3/9a82bN686+gIAAAAAqIqhraSkpLr7AAAAAACUo1q/0wYAAAAAqF5VutMWGxt7zbXx8fFVGQIAAAAAoCqGtrS0NH3xxRe6ePGigoODJUmHDh2Sk5OTOnbsaK+zWCzV0yUAAAAA1FFVCm0DBw6Uh4eHli9fLi8vL0mXfnD78ccf17333qvJkydXa5MAAAAAUFdV6Ttt8+bN08yZM+2BTZK8vLz08ssv8/RIAAAAAKhGVQpt+fn5OnHiRJnlOTk5On369HU3BQAAAAC4pEqhbfDgwXr88cf13nvv6fjx4zp+/Ljee+89jRo1SkOGDKnuHgEAAACgzqrSd9reeOMNTZkyRSNGjNCFCxcu7ah+fY0aNUpz5syp1gYBAAAAoC6rUmhzc3PT66+/rjlz5ui7776TYRhq3bq13N3dq7s/AAAAAKjTruvHtbOyspSVlaVbb71V7u7uMgyjuvoCAAAAAKiKoe2nn35SeHi4br31VvXv319ZWVmSpCeeeILH/QMAAABANapSaPv9738vZ2dnHTt2TG5ubvblw4YNU1JSUrU1BwAAAAB1XZW+05acnKxPPvlEzZo1c1jepk0bHT16tFoaAwAAAABU8U5bQUGBwx22Uj/++KOsVmuVGpk5c6YsFosmTZpkX2YYhuLi4hQQECBXV1f17NlT+/fvd9iusLBQ48ePl7e3t9zd3TVo0CAdP37coSY3N1fR0dGy2Wyy2WyKjo7WqVOnHGqOHTumgQMHyt3dXd7e3powYYKKioocar766iuFhYXJ1dVVt9xyi1588UW+xwcAAACgRlUptN13331655137O8tFotKSko0Z84c9erVq9L72717t/72t7/pjjvucFg+e/ZsxcfHa9GiRdq9e7f8/PzUu3dvhx/wnjRpkhITE7VmzRpt375dZ86cUWRkpIqLi+01UVFR2rt3r5KSkpSUlKS9e/cqOjravr64uFgDBgxQQUGBtm/frjVr1uj99993+H5efn6+evfurYCAAO3evVsLFy7U3LlzFR8fX+nPCwAAAADXqkrTI+fMmaOePXvq888/V1FRkZ555hnt379fP//8s/79739Xal9nzpzRo48+qiVLlujll1+2LzcMQwsWLNDUqVPtP9i9fPly+fr6atWqVRozZozy8vK0dOlSvfvuu7r//vslSStWrFDz5s21YcMG9enTR19//bWSkpK0c+dOde7cWZK0ZMkSde3aVQcPHlRwcLCSk5N14MABZWRkKCAgQJI0b948xcTE6JVXXpGnp6dWrlyp8+fPKyEhQVarVSEhITp06JDi4+MVGxsri8VSlUMJAAAAABWq0p22du3aad++fbrnnnvUu3dvFRQUaMiQIUpLS1OrVq0qta9x48ZpwIAB9tBV6vDhw8rOzlZERIR9mdVqVVhYmHbs2CFJ2rNnjy5cuOBQExAQoJCQEHtNamqqbDabPbBJUpcuXWSz2RxqQkJC7IFNkvr06aPCwkLt2bPHXhMWFuYw/bNPnz7KzMzUkSNHrvj5CgsLlZ+f7/ACAAAAgGtV6TttpSHpzTff1PTp069r8DVr1uiLL77Q7t27y6zLzs6WJPn6+jos9/X1tT/sJDs7Wy4uLvLy8ipTU7p9dna2fHx8yuzfx8fHoebycby8vOTi4uJQ07JlyzLjlK4LCgoq9zPOnDnzuo8TAAAAgLqr0nfanJ2dlZ6eft3TATMyMjRx4kStWLFCDRo0uGLd5eMYhnHVsS+vKa++OmpKH0JSUT/PP/+88vLy7K+MjIwKewdwcyou4aFEAACgZlTpO22PPfaYli5dqldffbXKA+/Zs0c5OTnq1KmTfVlxcbG2bdumRYsW6eDBg5Iu3cXy9/e31+Tk5NjvcPn5+amoqEi5ubkOd9tycnLUrVs3e82JEyfKjH/y5EmH/Xz22WcO63Nzc3XhwgWHmtK7br8cRyp7N/CXrFZrlZ+oCeDm4VTPoolr0vRtzpla7aNncFP9oU/bWu0BAABUryqFtqKiIr311ltKSUlRaGio3N3dHdZfyxMVw8PD9dVXXzkse/zxx9W2bVs9++yz+tWvfiU/Pz+lpKSoQ4cO9nG3bt2qWbNmSZI6deokZ2dnpaSkaOjQoZKkrKwspaena/bs2ZKkrl27Ki8vT7t27dI999wjSfrss8+Ul5dnD3Zdu3bVK6+8oqysLHtATE5OltVqtYfKrl276oUXXlBRUZFcXFzsNQEBAWWmTQKom77NOaP9mbX7vdVWTd2vXgQAAG4qlQpt33//vVq2bKn09HR17NhRknTo0CGHmmudNunh4aGQkBCHZe7u7mrSpIl9+aRJkzRjxgy1adNGbdq00YwZM+Tm5qaoqChJks1m06hRozR58mQ1adJEjRs31pQpU9S+fXv7g01uu+029e3bV6NHj9abb74pSfrd736nyMhIBQcHS5IiIiLUrl07RUdHa86cOfr55581ZcoUjR49Wp6enpIu/WzA9OnTFRMToxdeeEHffPONZsyYoT//+c88ORIAAABAjalUaGvTpo2ysrK0efNmSdKwYcP02muvVTg98Ho888wzOnfunMaOHavc3Fx17txZycnJ8vDwsNfMnz9f9evX19ChQ3Xu3DmFh4crISFBTk5O9pqVK1dqwoQJ9qdMDho0SIsWLbKvd3Jy0vr16zV27Fh1795drq6uioqK0ty5c+01NptNKSkpGjdunEJDQ+Xl5aXY2FjFxsbWyGcHAAAAAKmSoa30wRulPv74YxUUFFRbM1u2bHF4b7FYFBcXp7i4uCtu06BBAy1cuFALFy68Yk3jxo21YsWKCsdu0aKFPvzwwwpr2rdvr23btlVYAwAAAADVqUq/01bq8hAHAAAAAKhelQptFoulzPe3+D4XAAAAANScSk+PjImJsT/C/vz583ryySfLPD1y7dq11dchAAAAANRhlQptI0eOdHg/YsSIam0GAAAAAOCoUqFt2bJlNdUHAAAAAKAc1/UgEgAAAABAzSK0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMRqNbTNnDlTd999tzw8POTj46Pf/OY3OnjwoEONYRiKi4tTQECAXF1d1bNnT+3fv9+hprCwUOPHj5e3t7fc3d01aNAgHT9+3KEmNzdX0dHRstlsstlsio6O1qlTpxxqjh07poEDB8rd3V3e3t6aMGGCioqKHGq++uorhYWFydXVVbfccotefPFFGYZRfQcFAAAAAH6hVkPb1q1bNW7cOO3cuVMpKSm6ePGiIiIiVFBQYK+ZPXu24uPjtWjRIu3evVt+fn7q3bu3Tp8+ba+ZNGmSEhMTtWbNGm3fvl1nzpxRZGSkiouL7TVRUVHau3evkpKSlJSUpL179yo6Otq+vri4WAMGDFBBQYG2b9+uNWvW6P3339fkyZPtNfn5+erdu7cCAgK0e/duLVy4UHPnzlV8fHwNHykAAAAAdVX92hw8KSnJ4f2yZcvk4+OjPXv26L777pNhGFqwYIGmTp2qIUOGSJKWL18uX19frVq1SmPGjFFeXp6WLl2qd999V/fff78kacWKFWrevLk2bNigPn366Ouvv1ZSUpJ27typzp07S5KWLFmirl276uDBgwoODlZycrIOHDigjIwMBQQESJLmzZunmJgYvfLKK/L09NTKlSt1/vx5JSQkyGq1KiQkRIcOHVJ8fLxiY2NlsVhu4NEDAAAAUBeY6jtteXl5kqTGjRtLkg4fPqzs7GxFRETYa6xWq8LCwrRjxw5J0p49e3ThwgWHmoCAAIWEhNhrUlNTZbPZ7IFNkrp06SKbzeZQExISYg9sktSnTx8VFhZqz5499pqwsDBZrVaHmszMTB05cqTcz1RYWKj8/HyHFwAAAABcK9OENsMwFBsbqx49eigkJESSlJ2dLUny9fV1qPX19bWvy87OlouLi7y8vCqs8fHxKTOmj4+PQ83l43h5ecnFxaXCmtL3pTWXmzlzpv17dDabTc2bN7/KkQAAAACA/880oe3pp5/Wvn37tHr16jLrLp92aBjGVaciXl5TXn111JQ+hORK/Tz//PPKy8uzvzIyMirsGwAAAAB+yRShbfz48Vq3bp02b96sZs2a2Zf7+flJKnsXKycnx36Hy8/PT0VFRcrNza2w5sSJE2XGPXnypEPN5ePk5ubqwoULFdbk5ORIKns3sJTVapWnp6fDCwAAAACuVa2GNsMw9PTTT2vt2rXatGmTgoKCHNYHBQXJz89PKSkp9mVFRUXaunWrunXrJknq1KmTnJ2dHWqysrKUnp5ur+natavy8vK0a9cue81nn32mvLw8h5r09HRlZWXZa5KTk2W1WtWpUyd7zbZt2xx+BiA5OVkBAQFq2bJlNR0VAAAAAPj/ajW0jRs3TitWrNCqVavk4eGh7OxsZWdn69y5c5IuTTmcNGmSZsyYocTERKWnpysmJkZubm6KioqSJNlsNo0aNUqTJ0/Wxo0blZaWphEjRqh9+/b2p0nedttt6tu3r0aPHq2dO3dq586dGj16tCIjIxUcHCxJioiIULt27RQdHa20tDRt3LhRU6ZM0ejRo+13x6KiomS1WhUTE6P09HQlJiZqxowZPDkSAAAAQI2p1Uf+L168WJLUs2dPh+XLli1TTEyMJOmZZ57RuXPnNHbsWOXm5qpz585KTk6Wh4eHvX7+/PmqX7++hg4dqnPnzik8PFwJCQlycnKy16xcuVITJkywP2Vy0KBBWrRokX29k5OT1q9fr7Fjx6p79+5ydXVVVFSU5s6da6+x2WxKSUnRuHHjFBoaKi8vL8XGxio2Nra6Dw0AAAAASKrl0Fb6EI+KWCwWxcXFKS4u7oo1DRo00MKFC7Vw4cIr1jRu3FgrVqyocKwWLVroww8/rLCmffv22rZtW4U1AAAAAFBdTPEgEgAAAABA+QhtAAAAAGBihDYAAAAAMDFCGwAAAACYGKENAAAAAEyM0AYAAAAAJkZoAwAAAAATI7QBAAAAgIkR2gAAAADAxAhtAIA6oWlDq4pLjNpuw85MvQAAzK1+bTcAAMCN4OlaX071LJq4Jk3f5pyp1V5a+zTUX4Z3qNUeAAA3D0IbAKBO+TbnjPZn5td2GwAAXDOmRwIAAACAiRHaAAAAAMDECG0AAAAAYGKENgAAAAAwMUIbAAAAAJgYoQ0AAAAATIzQBgAAAAAmRmgDAAAAABMjtAEAAACAiRHaAAAAAMDECG0AAAAAYGKENgAAAAAwMUIbAAAAAJgYoQ0AAAAATIzQBgAAAAAmRmgDAAAAABMjtAEAAACAiRHaAAAAAMDECG0AAAAAYGKENgAAAAAwMUIbAAAAAJgYoQ0AAAAATIzQBgAAAAAmRmgDAAAAABMjtAEAAACAiRHaAAAAAMDECG0AAAAAYGKENgAAAAAwMUIbAAAAAJgYoQ0AAAAATIzQBgDADda0oVXFJUZtt2Fnpl4AAGXVr+0GAACoazxd68upnkUT16Tp25wztdpLa5+G+svwDrXaAwCgYoQ2AABqybc5Z7Q/M7+22wAAmBzTIwEAAADAxAhtAAAAAGBihDYAAAAAMDFCGwAAAACYGKENAAAAAEyM0AYAAAAAJkZoAwAAAAATI7QBAAAAgIkR2gAAAADAxAhtAAAAAGBihDYAAAAAMDFCGwAAAACYGKENAAAAAEyM0AYAAAAAJkZoAwAAAAATI7QBAAAAgIkR2gAAAADAxAhtAAAAAGBihDYAAAAAMDFCGwAAAACYGKENAACYRnGJUdstODBbPwDqpvq13QAAAEApp3oWTVyTpm9zztR2K2rt01B/Gd6httsAAEIbAAAwl29zzmh/Zn5ttwEApsH0SAAAAAAwMUIbAAB1WNOGVr63BQAmx/RIAADqME/X+qb5HlnP4Kb6Q5+2tdoDAJgRoQ0AAJjie2StmrrX6vgAYFZMj6yC119/XUFBQWrQoIE6deqkTz/9tLZbAgAA1cxsU0fN1AuAG4s7bZX097//XZMmTdLrr7+u7t27680331S/fv104MABtWjRorbbAwAA1cRMU0fN9vMDxSWGnOpZarsNSebqBagphLZKio+P16hRo/TEE09IkhYsWKBPPvlEixcv1syZM2u5OwAAUN3MMHW09K6fWcKJWcLs3S299KfI22u1h8uZ6TzhfwehrRKKioq0Z88ePffccw7LIyIitGPHjnK3KSwsVGFhof19Xl6eJCk/n9+fAf7XNG8oXWjsVKs9NLWWKD8/3xS9mK0feqGXm7mfVo3qqeDMab2x5Ttl5p2r1V7a32LTw6HNVXj2jC6cL6jVXpwuuprmuEhSG5+GiuocaJrQRoA0v9JMYBgVT3+2GFergF1mZqZuueUW/fvf/1a3bt3sy2fMmKHly5fr4MGDZbaJi4vT9OnTb2SbAAAAAG4iGRkZatas2RXXc6etCiwWx3+xMAyjzLJSzz//vGJjY+3vS0pK9PPPP6tJkyY6ffq0mjdvroyMDHl6etZoz6ia/Px8zpHJcY7Mj3Nkfpwj8+McmR/nyPzMeI4Mw9Dp06cVEBBQYR2hrRK8vb3l5OSk7Oxsh+U5OTny9fUtdxur1Sqr1eqwrFGjRpL+f/jz9PQ0zR8clI9zZH6cI/PjHJkf58j8OEfmxzkyP7OdI5vNdtUaHvlfCS4uLurUqZNSUlIclqekpDhMlwQAAACA6sKdtkqKjY1VdHS0QkND1bVrV/3tb3/TsWPH9OSTT9Z2awAAAAD+BxHaKmnYsGH66aef9OKLLyorK0shISH66KOPFBgYWOl9Wa1WTZs2rcz0SZgH58j8OEfmxzkyP86R+XGOzI9zZH438zni6ZEAAAAAYGJ8pw0AAAAATIzQBgAAAAAmRmgDAAAAABMjtAEAAACAiRHabqBXXnlF3bp1k5ubm/0Htq8mJiZGFovF4dWlS5eabbSOq8p5MgxDcXFxCggIkKurq3r27Kn9+/fXbKN1WG5urqKjo2Wz2WSz2RQdHa1Tp05VuA3XUs16/fXXFRQUpAYNGqhTp0769NNPK6zfunWrOnXqpAYNGuhXv/qV3njjjRvUad1VmXO0ZcuWMteLxWLRf/7znxvYcd2ybds2DRw4UAEBAbJYLPrXv/511W24jm6syp4jrqMba+bMmbr77rvl4eEhHx8f/eY3v9HBgwevut3Nch0R2m6goqIiPfzww3rqqacqtV3fvn2VlZVlf3300Uc11CGkqp2n2bNnKz4+XosWLdLu3bvl5+en3r176/Tp0zXYad0VFRWlvXv3KikpSUlJSdq7d6+io6Ovuh3XUs34+9//rkmTJmnq1KlKS0vTvffeq379+unYsWPl1h8+fFj9+/fXvffeq7S0NL3wwguaMGGC3n///Rvced1R2XNU6uDBgw7XTJs2bW5Qx3VPQUGB7rzzTi1atOia6rmObrzKnqNSXEc3xtatWzVu3Djt3LlTKSkpunjxoiIiIlRQUHDFbW6q68jADbds2TLDZrNdU+3IkSONBx54oEb7Qfmu9TyVlJQYfn5+xquvvmpfdv78ecNmsxlvvPFGDXZYNx04cMCQZOzcudO+LDU11ZBk/Oc//7nidlxLNeeee+4xnnzySYdlbdu2NZ577rly65955hmjbdu2DsvGjBljdOnSpcZ6rOsqe442b95sSDJyc3NvQHe4nCQjMTGxwhquo9p1LeeI66h25eTkGJKMrVu3XrHmZrqOuNN2E9iyZYt8fHx06623avTo0crJyantlvALhw8fVnZ2tiIiIuzLrFarwsLCtGPHjlrs7H9TamqqbDabOnfubF/WpUsX2Wy2qx5vrqXqV1RUpD179jj8+ZekiIiIK56P1NTUMvV9+vTR559/rgsXLtRYr3VVVc5RqQ4dOsjf31/h4eHavHlzTbaJSuI6unlwHdWOvLw8SVLjxo2vWHMzXUeENpPr16+fVq5cqU2bNmnevHnavXu3fv3rX6uwsLC2W8N/ZWdnS5J8fX0dlvv6+trXofpkZ2fLx8enzHIfH58KjzfXUs348ccfVVxcXKk//9nZ2eXWX7x4UT/++GON9VpXVeUc+fv7629/+5vef/99rV27VsHBwQoPD9e2bdtuRMu4BlxH5sd1VHsMw1BsbKx69OihkJCQK9bdTNdR/dpu4GYXFxen6dOnV1ize/duhYaGVmn/w4YNs/93SEiIQkNDFRgYqPXr12vIkCFV2mddVNPnSZIsFovDe8MwyizDlV3rOZLKHmvp6seba6lmVfbPf3n15S1H9anMOQoODlZwcLD9fdeuXZWRkaG5c+fqvvvuq9E+ce24jsyN66j2PP3009q3b5+2b99+1dqb5ToitF2np59+WsOHD6+wpmXLltU2nr+/vwIDA/XNN99U2z7rgpo8T35+fpIu/WuNv7+/fXlOTk6Zf73BlV3rOdq3b59OnDhRZt3Jkycrdby5lqqHt7e3nJycytyxqejPv5+fX7n19evXV5MmTWqs17qqKueoPF26dNGKFSuquz1UEdfRzYnrqOaNHz9e69at07Zt29SsWbMKa2+m64jQdp28vb3l7e19w8b76aeflJGR4RAOcHU1eZ6CgoLk5+enlJQUdejQQdKl75Bs3bpVs2bNqpEx/xdd6znq2rWr8vLytGvXLt1zzz2SpM8++0x5eXnq1q3bNY/HtVQ9XFxc1KlTJ6WkpGjw4MH25SkpKXrggQfK3aZr16764IMPHJYlJycrNDRUzs7ONdpvXVSVc1SetLQ0rhcT4Tq6OXEd1RzDMDR+/HglJiZqy5YtCgoKuuo2N9V1VGuPQKmDjh49aqSlpRnTp083GjZsaKSlpRlpaWnG6dOn7TXBwcHG2rVrDcMwjNOnTxuTJ082duzYYRw+fNjYvHmz0bVrV+OWW24x8vPza+tj/M+r7HkyDMN49dVXDZvNZqxdu9b46quvjEceecTw9/fnPNWQvn37GnfccYeRmppqpKamGu3btzciIyMdariWbpw1a9YYzs7OxtKlS40DBw4YkyZNMtzd3Y0jR44YhmEYzz33nBEdHW2v//777w03Nzfj97//vXHgwAFj6dKlhrOzs/Hee+/V1kf4n1fZczR//nwjMTHROHTokJGenm4899xzhiTj/fffr62P8D/v9OnT9r9vJBnx8fFGWlqacfToUcMwuI7MoLLniOvoxnrqqacMm81mbNmyxcjKyrK/zp49a6+5ma8jQtsNNHLkSENSmdfmzZvtNZKMZcuWGYZhGGfPnjUiIiKMpk2bGs7OzkaLFi2MkSNHGseOHaudD1BHVPY8Gcalx/5PmzbN8PPzM6xWq3HfffcZX3311Y1vvo746aefjEcffdTw8PAwPDw8jEcffbTMI5W5lm6sv/71r0ZgYKDh4uJidOzY0eERyyNHjjTCwsIc6rds2WJ06NDBcHFxMVq2bGksXrz4Bndc91TmHM2aNcto1aqV0aBBA8PLy8vo0aOHsX79+lrouu4ofTz85a+RI0cahsF1ZAaVPUdcRzdWeefm8v9fu5mvI4th/PfbdgAAAAAA0+GR/wAAAABgYoQ2AAAAADAxQhsAAAAAmBihDQAAAABMjNAGAAAAACZGaAMAAAAAEyO0AQAAAICJEdoAAAAAwMQIbQAA3AAWi0X/+te/rrj+yJEjslgs2rt3b7WO27JlSy1YsKBa9wkAuLEIbQAASIqJiZHFYpHFYlH9+vXVokULPfXUU8rNza2W/WdlZalfv37Vsi8AQN1Sv7YbAADALPr27atly5bp4sWLOnDggH7729/q1KlTWr169XXv28/Prxo6BADURdxpAwDgv6xWq/z8/NSsWTNFRERo2LBhSk5Otq9ftmyZbrvtNjVo0EBt27bV66+/bl9XVFSkp59+Wv7+/mrQoIFatmypmTNn2tdfPj1y165d6tChgxo0aKDQ0FClpaU59JKQkKBGjRo5LPvXv/4li8Vif//dd9/pgQcekK+vrxo2bKi7775bGzZsqKajAQAwC+60AQBQju+//15JSUlydnaWJC1ZskTTpk3TokWL1KFDB6WlpWn06NFyd3fXyJEj9dprr2ndunX6xz/+oRYtWigjI0MZGRnl7rugoECRkZH69a9/rRUrVujw4cOaOHFipXs8c+aM+vfvr5dfflkNGjTQ8uXLNXDgQB08eFAtWrS4rs8PADAPQhsAAP/14YcfqmHDhiouLtb58+clSfHx8ZKkl156SfPmzdOQIUMkSUFBQTpw4IDefPNNjRw5UseOHVObNm3Uo0cPWSwWBQYGXnGclStXqri4WG+//bbc3Nx0++236/jx43rqqacq1e+dd96pO++80/7+5ZdfVmJiotatW6enn366sh8fAGBShDYAAP6rV69eWrx4sc6ePau33npLhw4d0vjx43Xy5EllZGRo1KhRGj16tL3+4sWLstlski49yKR3794KDg5W3759FRkZqYiIiHLH+frrr3XnnXfKzc3Nvqxr166V7regoEDTp0/Xhx9+qMzMTF28eFHnzp3TsWPHKr0vAIB5EdoAAPgvd3d3tW7dWpL02muvqVevXpo+fbr9rtWSJUvUuXNnh22cnJwkSR07dtThw4f18ccfa8OGDRo6dKjuv/9+vffee2XGMQzjqr3Uq1evTN2FCxcc3v/hD3/QJ598orlz56p169ZydXXVQw89pKKiomv/0AAA0yO0AQBwBdOmTVO/fv301FNP6ZZbbtH333+vRx999Ir1np6eGjZsmIYNG6aHHnpIffv21c8//6zGjRs71LVr107vvvuuzp07J1dXV0nSzp07HWqaNm2q06dPq6CgQO7u7pJU5jfcPv30U8XExGjw4MGSLn3H7ciRI9f5qQEAZkNoAwDgCnr27Knbb79dM2bMUFxcnCZMmCBPT0/169dPhYWF+vzzz5Wbm6vY2FjNnz9f/v7+uuuuu1SvXj3985//lJ+fX5knQEpSVFSUpk6dqlGjRumPf/yjjhw5orlz5zrUdO7cWW5ubnrhhRc0fvx47dq1SwkJCQ41rVu31tq1azVw4EBZLBb96U9/UklJSQ0eEQBAbeCR/wAAVCA2NlZLlixRnz599NZbbykhIUHt27dXWFiYEhISFBQUJElq2LChZs2apdDQUN199906cuSIPvroI9WrV/av2oYNG+qDDz7QgQMH1KFDB02dOlWzZs1yqGncuLFWrFihjz76SO3bt9fq1asVFxfnUDN//nx5eXmpW7duGjhwoPr06aOOHTvW2LEAANQOi3EtE+sBAAAAALWCO20AAAAAYGKENgAAAAAwMUIbAAAAAJgYoQ0AAAAATIzQBgAAAAAmRmgDAAAAABMjtAEAAACAiRHaAAAAAMDECG0AAAAAYGKENgAAAAAwMUIbAAAAAJjY/wMqhXuhi2bqaAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Metric Results Across Folds: ----\n",
      "{'mean_squared_error': [0.049038598063627384, 0.05249819915053568, 0.05268596960748541], 'root_mean_squared_error': [0.22144660318827963, 0.22912485493838436, 0.22953424495592245], 'mean_absolute_error': [0.15037616516741625, 0.1542764953225224, 0.15400208114555375], 'r2_score': [0.4582821121997448, 0.43277314255500043, 0.4225909281851158]}\n",
      "True values: [2.15818065 2.22795189 2.29070772 ... 2.22795189 2.61445676 2.38347679]\n",
      "Predictions: [2.24916367 2.27902832 2.40717769 ... 2.31123369 2.27063871 2.33019417]\n",
      "Average MSE score: 0.051407588940549497\n",
      "Average r2 score: 0.43788206097995364\n",
      "Average baseline MSE: 0.09144070178552967\n",
      "Average baseline r2: 0.0\n"
     ]
    }
   ],
   "source": [
    "test_years = [2015, 2016, 2017]\n",
    "true_values, predicted_values = train_test_model(test_years, LinearRegression(), X.values, y.values, metrics = metrics)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ml-env [~/.conda/envs/ml-env/]",
   "language": "python",
   "name": "conda_ml-env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}