PRECON_Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Usage_kW</th>\n",
       "      <th>AC_DR_kW</th>\n",
       "      <th>UPS_kW</th>\n",
       "      <th>LR_kW</th>\n",
       "      <th>Kitchen_kW</th>\n",
       "      <th>AC_DNR_kW</th>\n",
       "      <th>AC_BR_kW</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date_Time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-07-15 00:00:00</th>\n",
       "      <td>1.7310</td>\n",
       "      <td>0.0006</td>\n",
       "      <td>0.2575</td>\n",
       "      <td>0.3531</td>\n",
       "      <td>0.3518</td>\n",
       "      <td>0.0097</td>\n",
       "      <td>0.0001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-15 00:01:00</th>\n",
       "      <td>1.7415</td>\n",
       "      <td>0.0006</td>\n",
       "      <td>0.2854</td>\n",
       "      <td>0.3504</td>\n",
       "      <td>0.3485</td>\n",
       "      <td>0.0097</td>\n",
       "      <td>0.0002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-15 00:02:00</th>\n",
       "      <td>1.7391</td>\n",
       "      <td>0.0006</td>\n",
       "      <td>0.2836</td>\n",
       "      <td>0.3520</td>\n",
       "      <td>0.3477</td>\n",
       "      <td>0.0097</td>\n",
       "      <td>0.0002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-15 00:03:00</th>\n",
       "      <td>1.7371</td>\n",
       "      <td>0.0006</td>\n",
       "      <td>0.2864</td>\n",
       "      <td>0.3504</td>\n",
       "      <td>0.3466</td>\n",
       "      <td>0.0096</td>\n",
       "      <td>0.0002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-15 00:04:00</th>\n",
       "      <td>1.7268</td>\n",
       "      <td>0.0006</td>\n",
       "      <td>0.2819</td>\n",
       "      <td>0.3491</td>\n",
       "      <td>0.3464</td>\n",
       "      <td>0.0097</td>\n",
       "      <td>0.0002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Usage_kW  AC_DR_kW  UPS_kW   LR_kW  Kitchen_kW  \\\n",
       "Date_Time                                                             \n",
       "2018-07-15 00:00:00    1.7310    0.0006  0.2575  0.3531      0.3518   \n",
       "2018-07-15 00:01:00    1.7415    0.0006  0.2854  0.3504      0.3485   \n",
       "2018-07-15 00:02:00    1.7391    0.0006  0.2836  0.3520      0.3477   \n",
       "2018-07-15 00:03:00    1.7371    0.0006  0.2864  0.3504      0.3466   \n",
       "2018-07-15 00:04:00    1.7268    0.0006  0.2819  0.3491      0.3464   \n",
       "\n",
       "                     AC_DNR_kW  AC_BR_kW  \n",
       "Date_Time                                 \n",
       "2018-07-15 00:00:00     0.0097    0.0001  \n",
       "2018-07-15 00:01:00     0.0097    0.0002  \n",
       "2018-07-15 00:02:00     0.0097    0.0002  \n",
       "2018-07-15 00:03:00     0.0096    0.0002  \n",
       "2018-07-15 00:04:00     0.0097    0.0002  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('House1.csv', index_col=0, parse_dates=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total Usage</th>\n",
       "      <th>Drawing_AC</th>\n",
       "      <th>UPS</th>\n",
       "      <th>Living Room</th>\n",
       "      <th>Kitchen</th>\n",
       "      <th>Dining Room AC</th>\n",
       "      <th>Bedroom AC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date_Time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.860305</td>\n",
       "      <td>0.000373</td>\n",
       "      <td>0.115003</td>\n",
       "      <td>0.086087</td>\n",
       "      <td>0.120222</td>\n",
       "      <td>0.002845</td>\n",
       "      <td>0.116772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.749009</td>\n",
       "      <td>0.000330</td>\n",
       "      <td>0.107357</td>\n",
       "      <td>0.053110</td>\n",
       "      <td>0.106579</td>\n",
       "      <td>0.002313</td>\n",
       "      <td>0.100877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.685416</td>\n",
       "      <td>0.000326</td>\n",
       "      <td>0.107008</td>\n",
       "      <td>0.046530</td>\n",
       "      <td>0.100006</td>\n",
       "      <td>0.002295</td>\n",
       "      <td>0.066708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.656099</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.106059</td>\n",
       "      <td>0.042460</td>\n",
       "      <td>0.095639</td>\n",
       "      <td>0.002124</td>\n",
       "      <td>0.052308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.642652</td>\n",
       "      <td>0.000311</td>\n",
       "      <td>0.105013</td>\n",
       "      <td>0.042104</td>\n",
       "      <td>0.092595</td>\n",
       "      <td>0.002073</td>\n",
       "      <td>0.044017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.610509</td>\n",
       "      <td>0.000307</td>\n",
       "      <td>0.102799</td>\n",
       "      <td>0.043191</td>\n",
       "      <td>0.090125</td>\n",
       "      <td>0.002202</td>\n",
       "      <td>0.039293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.537123</td>\n",
       "      <td>0.000278</td>\n",
       "      <td>0.100091</td>\n",
       "      <td>0.052963</td>\n",
       "      <td>0.086485</td>\n",
       "      <td>0.002453</td>\n",
       "      <td>0.030108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.522758</td>\n",
       "      <td>0.000213</td>\n",
       "      <td>0.098395</td>\n",
       "      <td>0.075484</td>\n",
       "      <td>0.107133</td>\n",
       "      <td>0.004299</td>\n",
       "      <td>0.011482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.623943</td>\n",
       "      <td>0.001369</td>\n",
       "      <td>0.130857</td>\n",
       "      <td>0.126306</td>\n",
       "      <td>0.172940</td>\n",
       "      <td>0.007916</td>\n",
       "      <td>0.004610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.598369</td>\n",
       "      <td>0.004862</td>\n",
       "      <td>0.126729</td>\n",
       "      <td>0.116273</td>\n",
       "      <td>0.128648</td>\n",
       "      <td>0.006170</td>\n",
       "      <td>0.008825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.589931</td>\n",
       "      <td>0.001552</td>\n",
       "      <td>0.111899</td>\n",
       "      <td>0.048662</td>\n",
       "      <td>0.123365</td>\n",
       "      <td>0.007430</td>\n",
       "      <td>0.010353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.613082</td>\n",
       "      <td>0.002920</td>\n",
       "      <td>0.106237</td>\n",
       "      <td>0.058000</td>\n",
       "      <td>0.119392</td>\n",
       "      <td>0.014206</td>\n",
       "      <td>0.016936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.589812</td>\n",
       "      <td>0.000683</td>\n",
       "      <td>0.101857</td>\n",
       "      <td>0.076636</td>\n",
       "      <td>0.115407</td>\n",
       "      <td>0.021852</td>\n",
       "      <td>0.030245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.594534</td>\n",
       "      <td>0.000214</td>\n",
       "      <td>0.098371</td>\n",
       "      <td>0.091912</td>\n",
       "      <td>0.118774</td>\n",
       "      <td>0.024168</td>\n",
       "      <td>0.018320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.612474</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>0.101676</td>\n",
       "      <td>0.096465</td>\n",
       "      <td>0.125621</td>\n",
       "      <td>0.028421</td>\n",
       "      <td>0.016174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.644338</td>\n",
       "      <td>0.010708</td>\n",
       "      <td>0.104178</td>\n",
       "      <td>0.099740</td>\n",
       "      <td>0.123654</td>\n",
       "      <td>0.028154</td>\n",
       "      <td>0.033141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.701587</td>\n",
       "      <td>0.025833</td>\n",
       "      <td>0.107355</td>\n",
       "      <td>0.119028</td>\n",
       "      <td>0.127012</td>\n",
       "      <td>0.038227</td>\n",
       "      <td>0.036504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.809941</td>\n",
       "      <td>0.016810</td>\n",
       "      <td>0.117765</td>\n",
       "      <td>0.181206</td>\n",
       "      <td>0.142585</td>\n",
       "      <td>0.032665</td>\n",
       "      <td>0.019581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1.017599</td>\n",
       "      <td>0.010871</td>\n",
       "      <td>0.144368</td>\n",
       "      <td>0.212562</td>\n",
       "      <td>0.167951</td>\n",
       "      <td>0.041647</td>\n",
       "      <td>0.027593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1.211490</td>\n",
       "      <td>0.009040</td>\n",
       "      <td>0.166792</td>\n",
       "      <td>0.234216</td>\n",
       "      <td>0.182970</td>\n",
       "      <td>0.043967</td>\n",
       "      <td>0.053940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1.327361</td>\n",
       "      <td>0.007060</td>\n",
       "      <td>0.189454</td>\n",
       "      <td>0.245038</td>\n",
       "      <td>0.193719</td>\n",
       "      <td>0.045517</td>\n",
       "      <td>0.067414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1.277201</td>\n",
       "      <td>0.005404</td>\n",
       "      <td>0.222761</td>\n",
       "      <td>0.239453</td>\n",
       "      <td>0.184950</td>\n",
       "      <td>0.034234</td>\n",
       "      <td>0.031849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1.134525</td>\n",
       "      <td>0.001429</td>\n",
       "      <td>0.193384</td>\n",
       "      <td>0.219293</td>\n",
       "      <td>0.171137</td>\n",
       "      <td>0.018740</td>\n",
       "      <td>0.024305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.993754</td>\n",
       "      <td>0.000422</td>\n",
       "      <td>0.138280</td>\n",
       "      <td>0.145390</td>\n",
       "      <td>0.146594</td>\n",
       "      <td>0.005851</td>\n",
       "      <td>0.082832</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Total Usage  Drawing_AC       UPS  Living Room   Kitchen  \\\n",
       "Date_Time                                                             \n",
       "0             0.860305    0.000373  0.115003     0.086087  0.120222   \n",
       "1             0.749009    0.000330  0.107357     0.053110  0.106579   \n",
       "2             0.685416    0.000326  0.107008     0.046530  0.100006   \n",
       "3             0.656099    0.000319  0.106059     0.042460  0.095639   \n",
       "4             0.642652    0.000311  0.105013     0.042104  0.092595   \n",
       "5             0.610509    0.000307  0.102799     0.043191  0.090125   \n",
       "6             0.537123    0.000278  0.100091     0.052963  0.086485   \n",
       "7             0.522758    0.000213  0.098395     0.075484  0.107133   \n",
       "8             0.623943    0.001369  0.130857     0.126306  0.172940   \n",
       "9             0.598369    0.004862  0.126729     0.116273  0.128648   \n",
       "10            0.589931    0.001552  0.111899     0.048662  0.123365   \n",
       "11            0.613082    0.002920  0.106237     0.058000  0.119392   \n",
       "12            0.589812    0.000683  0.101857     0.076636  0.115407   \n",
       "13            0.594534    0.000214  0.098371     0.091912  0.118774   \n",
       "14            0.612474    0.000221  0.101676     0.096465  0.125621   \n",
       "15            0.644338    0.010708  0.104178     0.099740  0.123654   \n",
       "16            0.701587    0.025833  0.107355     0.119028  0.127012   \n",
       "17            0.809941    0.016810  0.117765     0.181206  0.142585   \n",
       "18            1.017599    0.010871  0.144368     0.212562  0.167951   \n",
       "19            1.211490    0.009040  0.166792     0.234216  0.182970   \n",
       "20            1.327361    0.007060  0.189454     0.245038  0.193719   \n",
       "21            1.277201    0.005404  0.222761     0.239453  0.184950   \n",
       "22            1.134525    0.001429  0.193384     0.219293  0.171137   \n",
       "23            0.993754    0.000422  0.138280     0.145390  0.146594   \n",
       "\n",
       "           Dining Room AC  Bedroom AC  \n",
       "Date_Time                              \n",
       "0                0.002845    0.116772  \n",
       "1                0.002313    0.100877  \n",
       "2                0.002295    0.066708  \n",
       "3                0.002124    0.052308  \n",
       "4                0.002073    0.044017  \n",
       "5                0.002202    0.039293  \n",
       "6                0.002453    0.030108  \n",
       "7                0.004299    0.011482  \n",
       "8                0.007916    0.004610  \n",
       "9                0.006170    0.008825  \n",
       "10               0.007430    0.010353  \n",
       "11               0.014206    0.016936  \n",
       "12               0.021852    0.030245  \n",
       "13               0.024168    0.018320  \n",
       "14               0.028421    0.016174  \n",
       "15               0.028154    0.033141  \n",
       "16               0.038227    0.036504  \n",
       "17               0.032665    0.019581  \n",
       "18               0.041647    0.027593  \n",
       "19               0.043967    0.053940  \n",
       "20               0.045517    0.067414  \n",
       "21               0.034234    0.031849  \n",
       "22               0.018740    0.024305  \n",
       "23               0.005851    0.082832  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "by_hours_df = df.iloc[:, 0:].groupby(df.index.hour).mean()\n",
    "# Rename the applicances according to the metadata provided, for more readability\n",
    "by_hours_df = by_hours_df.rename(index=str, columns={\n",
    "   \"Usage_kW\":\"Total Usage\",\n",
    "    \"AC_DR_kW\":\"Drawing_AC\",\n",
    "    \"UPS_kW\":\"UPS\",\n",
    "    \"LR_kW\":\"Living Room\",\n",
    "    \"Kitchen_kW\":\"Kitchen\",\n",
    "    \"AC_DNR_kW\":\"Dining Room AC\",\n",
    "    \"AC_BR_kW\":\"Bedroom AC\",\n",
    "    \n",
    "})\n",
    "# The data frame aggregated by hours of a day looks like:\n",
    "by_hours_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1e6f4a53408>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set size of plot\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(11.7, 8.27)\n",
    "# Stackplot\n",
    "ax.stackplot(list(range(24)), np.transpose(by_hours_df.values), labels=by_hours_df.columns.values)\n",
    "plt.xlabel('Hour in a day', fontsize=18)\n",
    "plt.ylabel('Kilo Watts averaged per hour', fontsize=18)\n",
    "plt.xticks(np.arange(0, 24, 1.0))\n",
    "ax.legend(loc=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Bedroom AC')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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4PADTgKuABcCNIrJgwG6DFdbvBT6nqvOBC4Hb/RxrxrDqxg4AjlmAa6LsD9uOsaemhS9fdTbjc9L53YdXcOXCyXzrL2V8d/MevxU8Qi2oAFdEfiMidSKyc5D7r3FnIV5z69y9xd9+JrG9dqwRgPctL+Xy+ZP4zT8P0drVO+rHC6C1pIjIT90Zsh0istTdPugMmIh8Q0Qq3XP1NRFZNeoBmrBrc8+f463xFeBu3boVoMu9vNsNbMApit9vsML6qlqtqtvd2y3AbmBqpMZuYp93BvfYyY4oj8SMZS2dPXz/b3tZNr2Qd54zBYCM1GTu/sBSblwxjZ89fYAvP/QGvWG+AhfsDO7vgCuHuP9J4DxVXQx8BKfMiBljXj/WSG56CjPHZfOJS2fT2N7D/S8eGdVjBdha8ipgjvt1K3CPu324GbAf+eSZbRzVAE1EeD8gnWiLr0WLbhF936i8gqGD1IGF9QEQkRnAEuAlfwdZ8fyxqbrJZnBN9P3s6QMcb+3ma1cvOK2ucnKS8F/XLeKTl87m99uO8fNnD4Z1HEEFuG5B50GTx1W1VU/NQ2fjdD0xY8yOiibOLc0nKUlYXFrAxXPG88vnDtLZ4xnxYwXSWhJnRuw+dbwIFIjIFJsBSxz9AW6czeAOclnO70afwvpfGrA9B3gI+LSqNg/yPL9Q1WWqumzChAn+djEJpq9P+0uEVTZ0ROQSsDEDHTvZzq+fP8R1S6ZyXmnBGfeLCJ99xzyWTS9k4xvVYR1L2HNwReQ6EdkD/BVnFnew/WzGIQF19njYXd3MeSUF/dv+7dI5HG/tZsPWoyN+vABbS04Fjvn8fMYs2SAzYJ9wUxp+IyKF/p7fztPo6/H00d3rXNo6Hmdl50pKSgDSfDcBVQP3G6ywvoik4gS396vqw+EdrYknx9u66PEosyfm0NXbR31LfP1umMRw5+Y9JAl88cp5Q+53xYJJ7KpqpqoxfOk0YQ9wVfVPqno2cC3OgonB9rMZhwRUVt1Mb59yrk+Au2JmEStmFvHzZw/S1TuyWdwAW0v66zXZf+AgM2D3AGcBi4Fq4AeDPL+dp1HW5pO/fSLOFpktX74cIENEZopIGrAGpyh+vyEK6wvwa2C3qv4wcqM28cA7e7tiZhFgaQom8rYdPslfd1Rz61vPYkp+5pD7XjZ/EgBP7q4N23giVkXBTWc4S0TGR+o5TfTtcBeYLR5wqeLfLp1NdVMnD28fWV28AFtLVgClvofhzpINNgOmqrWq6lHVPuCXnGo5aWKM7wLFeGsckpKSAnAUeBwnReZBVd0lImtFZK2722CF9d8M3ARcaoshzUBVjU6Ae4E3wLWFZiaC+vqUb/2ljEl56ax926xh9z9rQjYzx2fzxO7wNYBICdsjAyIyGzigququZE8DTgxzmEkgr1c0MSkvncn5Gadtf8vs8ZxXWsDPnt7Pe88vISU5sM9avq0lp06dyoYNG3jggQcG7vYoTrrBBuACoElVq4eaAfPm6Lo/XseplpMmxrR1nZr1j7ccXFeTt1i+l6qu87l9C3DLwINU9Xn8X50wpn+B2bIZToBrtXBNJL106CSvVzTx3evPJStt+NBSRLh8/kTufeEIrV295KSHPhwNtkzYemALME9EKkTkowNmIq4HdorIa8DdwPvU3zVmk7BeP9Z4WnqCl4jwb2+fzbGTHTz6+hkpiIMKsLXkRuAgsB9nNvbj7vahZsC+KyJviMgO4O3AZ0b+ak0keGdwk5OE43GWomBMuFQ3dZKWkkRxfgYTctNtBtdE1NP76khNFladOyXgYy6fP4luTx/P7QvPepagQmZVvXGY+78DfCeY5zDxq6mjh4PH27j+/BK/9182fyLF+Rn8Y08d717qfx9/Vq1axapVp1+ZXbt2Lbfddpu3taQCtw88bqgZMFW9KeABmKjy5uAWF2TEXYqCMeFS1djBlPwMRISSwkzLwTUR9czeepbPKBrRTOz50wspyErlid21XHVO4IFxoKyTmQmbNyqaAE6roOBLRFhQnMe+2pYIjsrEO2+AO70oO15TFIwJueqmTqa4qWClhVkW4JqIqWnqZE9NC2+bO7KF1ynJSVw6byJP7akLS9MHC3BN2Lxe0QjAOSX5g+4zZ1IuB+vb+ss+GTMcb4rCtHFZdPR4aO8efVc8YxJFdWMHxe7K9dKiTKobO8PeKcoYgGf2OQvFLpk3ccTHXjZ/Eg3tPWw/2hjiUVmAa8LotWONzBqfTX5m6qD7zJuUS2+fcvhEWwRHZuLZqRncLCBuF5oZEzKePqW2pYspBadmcHv7lJrmziiPzIwFz+yrZ3JeBnMn5Yz42LfOHU9qsvD3MJQLswDXhM2Oika/nUx8zXF/IfbWWJqCCYx3Bnf6ODfAtYVmZoyrb+nC06f9tUdLCp3fjUAWmm3evJl58+Yxe/Zs7rzzzjPuF5EPuA1wdojICyJynru9VESeEpHdIrJLRD7lc8w3RKTSytklvl5PH8+VH+eSeRP81aQfVm5GKhfOGmcBrokfNU2d1DZ3cd4Q6QkAZ03IIUmg3PJwTYBauzykJkv/H3NbaGbGuiq3RFixdwa3yPndGK5UmMfj4fbbb2fTpk2UlZWxfv16ysrKBu52CHibqp6L06zpF+72XuBzqjofuBC4XUQW+Bz3I1Vd7H5tDOb1mdj16rFGWjp7R5x/6+uKBZM4WN/GgfrWEI7MAlwTJq+5DR7OHWYGNyM1mRnjs9lrAa4JUJtbM3FcjtPx1lIUzFhX7TZ58H7oKy7IJEngWMPQM7hbt25l9uzZzJo1i7S0NNasWcMjjzxy2j6q+oKqNrg/vojTOAdVrVbV7e7tFpzGJae1RDeJ7+m9dSQnCW+eM/oeXuHqamYBrgmLHRWNpCQJC6bkDbvv3Im5lNeG9pObSVxtXb1kp6cwLjsdgONtNoNrxjZvkwfvIrPU5CSm5GdScXLoGdzKykpKS081fSwpKaGycsjukh8FNg3cKCIzgCXASz6bP+GmNfxGRAoHe0ARuVVEtonItvr68NRDNeHzzL56zp9WSF7G4GtthjO1IJMFU/L4e1lou5pZgGvC4vWKRuZPySMjNXnYfedOzuXwiTY6ezzD7muMt+tNZloy2WnJNoNrxryqxk4yU5PJyzxVg3RqALVw/fVdGiyPUkTejhPgfmnA9hyc9uefVtVmd/M9wFnAYqAa+MEQY/iFqi5T1WUTJoz+MreJvLqWTnZWNvO2ecH/v10+fyLbjpykIYRrKizANSHX16fsONbEucPk33rNnZRDn8L+OpvFNcNr63ZmcAHG5aRbDq4Z86qbOphSkHFacFpamEXFMCkKJSUlHDt2rP/niooKiouLz9hPRM4FfgVco6onfLan4gS396vqw97tqlqrqh5V7cPpJrlitK/NxK7n9h0HCCr/1uvyBZPoU3hqb+hmcS3ANSF36EQbLV29w1ZQ8Jo3KReA8jrLwzXDa+3y+AS4aVZFwYx51U2d/ekJXqVFmdQ0d9LVO/iVseXLl1NeXs6hQ4fo7u5mw4YNrF69+rR9RGQa8DBwk6ru89kuwK+B3ar6wwHH+Lalug7YOcqXZmLY0/vqGZ+THlAq4nAWFeczKS89pNUULMA1Ife6u8BscYAB7ozx2aQmC3trbAbXDM9ZZOakvozLTue4pSiYMa66qaO/i5lXSWEWqk76wmBSUlK46667WLlyJfPnz+eGG25g4cKFrFu3DsA7LfcfwDjgZ27Jr23u9jcDNwGX+ikH9l0ReUNEdgBvBz4TshdrYoKnT3muvJ63zZ1AUtLIy4MNlJQkXDZ/Es/srR/yQ9lIBN402JgAvX6skay0ZM6aEFjR59TkJGaNz7FSYSYgbV29ZKc5b13jc9LY4XbMM2Ys6vH0UdfSxZSCATO4hc7Px062M3N89qDHr1q1ilWrTi9Tu3btWm677bZ6AFW9Bbhl4HGq+jzgN7JR1ZtG9ipMvHm9opHG9p6Q5N96rZhRxAMvHeXYyXZmT8wN+vFsBteE3GsVTZwzNZ/kEXyqmzs510qFmYC0dp3KwS3KTuNkWzd9fWculjFmLKht7kQVigfM4Ja6nf6Gy8M1ZjSe2VtPksDFs0dfHmyg8TlOZZxQLRy2ANeEVHdvH7urmgNOT/CaOzGHioaO/jasxvijqv11cMFZZNbbpzR39kR5ZMZER3WTWwN3wAzupLwMUpNl2EoKxozG0/vqOa+0gMLstJA9ZpH7WCdDtK4iqADXrW9XJyJ+E8gHa/FnEteh4210e/pYUDyypPO5k70LzSwP1wyuo8dDn9I/gzvebfZgebhmrKpq9NbAPX0GNzlJKC7I5NgwtXCNGamTbd3sqGjkkrkTQ/q4/c17YiHABX4HXDnE/YO1+DMJyvtmOn3c4Dlf/sx1Kynsq7E0BTO4VneG33eRGVi7XjN2eWdwJw8IcMEpFTZcNzNjRuq58npUCWn+LUBhVmi7UwYV4Krqs8DJIe732+LPJC5v7/OSwsxh9jzdtKIs0lOS2Gd5uGYIbV3O6tqcjFNlwiB0n/iNiTc1TZ3kpqeQ66eTVGlRJpWWomBC7Jm99RRlp3Hu1MBq3QcqLSWJvIwUToaoO2Ukc3D9tvjzsnZ9iaGioYOM1CTGjTAvJzlJmDMpxxaamSF5c7S9VRT6A1ybwTVjVFWj0+TBn5LCLI63dtPebWsbTOi8dOgkF501LiTlwQYal5MeMykKARmsxZ8va9eXGCoaOigpzBq03eNQ5k7MpbzWcnDN4E6lKLhVFLLiMgc3T0T2ish+EfnywDuHWrsgIlcOdawZe6qbOpmS7/+KmfdKmlVSMKFysq2bysYOzguwU+lIeSvjhELYA9zBWvyZxFTR2D7i9ASvuZNzqWnupKndVsQb//pncN0ANyU5icKsVE6E6JJWuHk8HoBpwFXAAuBGEVkwYDe/axdEJBm4e5hjzRhT3dRB8SAzuN5SYbbQzITKrqomwOk8Fg5F2WmxkYM7nMFa/JnE5czgjjLAneQ0hthnLXvNIFoHBLjgXtKKkxncrVu3AnSp6kFV7QY2ANf47jPE2oUVwP6hjjVjS1evh+Ot3YPO4JYWWi1cE1o7K5sBWBimAHd8CNuvB1smbD2wBZgnIhUi8lERWSsia91dBmvxZxJQS2cPje09lLhvqiPVX0nB8nDNIPoXmfkGuCH8xB9ulZWVAL6DrQCmDnGI79qFqcCxERxrElyNtwaunwoK4AQLGalJNoNrQmZnVROlRZnkZ525qDEUirLTaGgPTfOeoFr1quqNw9zvt8WfSUyVbj3G0c7gTi3IJDst2UqFmUGdSlFI7t82Pied3TXN0RrSiKj6fdP2u9Fn7cJbvJtGcOytwK0A06ZNG/E4TXyoanQC3OIC/++5IkJJYZY1ezAhs6uyKWzpCQBF2el43OY9BVnBNZGwTmYmZCpOegPc0c3gighzJuWyzxaamUG0DqiiAE4lhXiZwS0pKQHwfdcuAaoG7jfI2oUKoHS4Y8EW7Y4VNc3Oe66/GrhepYWZlqJgQqK5s4fDJ9pZFOLyYL68FZhCkaZgAa4JmdHWwPU1b1KupSiYQbV29ZKVlnxaeZpx2ek0dfTQ4+mL4sgCs3z5coAMEZkpImnAGuBR332GWLvwMjBnqGPN2NI/gztIDi44C80sRcGEQlmVN/92ZJ1KR+JU6UcLcE0MGW0NXF9zJuVwoq2b41bX1PjR1tV72gIzOPWG2BAHzR5SUlIAjgKPA7uBB1V1VyBrF1S1F/jEwGMj/RpM7Khu6qAgK5XMtORB9yktzKK5s5emDqtOY4Kzs9KpoBCuBWbg5OACIWn2YAGuCZlgauB6zZtsC83M4Fq7eskdEOCOz4m7WrhNqjpXVc9S1W8DqOo6VV3n3r5FVQtVdbH7tcx7oKpuHHisGbuqGwevgevlvaI22Czu5s2bmTdvHrNnz+bOO+884/7R1GUWkSIReUJEyt3vhaN7hSaW7KpqZnJeBhNy08P2HP3t1y1FwcSSYGrgevVXUhhioVkAb8giIj9133R3iMhSd3upiDwlIrtFZJeIfMrnGHtDjgP+Z3C9b4g262/GlqqmToqHyL+FU7Vw/eXhejwebr/9djZt2kRZWRnr16+nrKxs4G6jqcv8ZeBJVZ0DPOn+bOLczsomFk0NX3oCQGG2U53hpKUomFhS0dDRX3dxtCbmppOfmcq+Ov8LzQJ8Q74KmON+3Qrc427vBT6nqvOBC4Hb7Q05vrR1eU6roAA+ixLiZwbXmJCobhq8Ta/XqVq4Z87gbt26ldmzZzNr1izS0tJYs2YNjzzyyGn7jLIu8zXAve7te4FrR/jSTIxp7+7lQH1rWNMTANJTkslNT7EZXBM7TtXADW4GV0SchWaDzOAG8oaM8+Z6nzpeBApEZIqqVqvqdgBVbcHJY5zqc4y9Ice41q7e02rgwqkZXMvbNmNJR7eHxvaeYVMU8jJTyE1P8ZuiUFlZSWnpqcIcJSUl3lrNgwm0LvMkVa0GcL9PHOwBReRWEdkmItvq6+uHfC0menZXt9CnhLWCgte4EDV7sADXhIT38tdoS4T5mjMph721LX5rhgb4hjxsQXwRmQEsAV5yNwX0hmxvxtHV1n1mikJeRgqpyRKy7jfGxIPqJuc9d7A2vV4iQklRFsf8pCj4e48dbA2FT13mL3k3+dltxNX5raRdfOhv0RvmFAVwFprZIjMTM04FuMHN4IKz0Kyls5ea5s4z7gvwDXnIN14RyQEeAj6tqiPqEGBvxtHlLwdXRBiXnc4Jm8E1Y0i128Vsct7w77lTCzKpajwzwC0pKeHYsVNzARUVFRQXF5+x3yjqMteKyBT32ClA3bCDNDFtZ2UT47LTmJw39AeqUCjKDk37dQtwTUiEogau16mWvWfm4Qb4hjzoG6+IpOIEt/er6sM++9gbchzwl6IA8dXswZhQ8Aasw83gAhRmpfotE7Z8+XLKy8s5dOgQ3d3dbNiwgdWrV5+2zyjrMj8K3Ozevhk4I4/MxJedlc0snJofVJWkQI3LthQFE0MqGjrITE3ur2EXjKEqKQTyhozz5vpBt5rChThlmarF+c38NbBbVX/o5xh7Q45hvZ4+Onv6Tuti5jUuJ53jlqJgxpD+GdxhqigAFGSl0th+ZoCbkpLCXXfdxcqVK5k/fz433HADCxcuZN26dQDeS1Sjqct8J3CFiJQDV7g/mzjV1ethX20Li8LY4MHXuJw0Gtq6B2ttHrAz/1IYMwoVDU6JsFB8uivKTmNCbjp7/dTC9X1D9ng8fOQjH/H3hrwRWAXsB9qBD7vb3wzcBLwhIq+5276iqhtx3oAfFJGP4hTif2/QL8SEVFu3B+CMKgrgfOI/WG8tns3YUd3UwficNNJTBm/y4JWfmUpHj4euXs8Z+69atYpVq1adtm3t2rXcdttt9eDUZQZu8fe47nvnRj/bTwCXBfpaTGzbV9NKb59GZIEZODFAb5/S3NFLflbqqB/HAlwTEk6Th+DTE7zmTcpl7yCVFAJ4Q1bg9oHHqerz+M/PtTfkONDa1QvgP0Uh21IUzNhSFUCTB6/8TCdIaOroYWLu8AGxMb52ugvMzolQgNvfrretK6gA11IUTEh4u5iFytxJuZTXteDpC+4ShUkcbW6AO3CRGTgpCh09Htq7eyM9LGOiorqpgykBpCcA5Gc5AUOztes1o7Czsom8jJSQTmINpcjtZnYyyLSzoAJcEfmNiNSJyM5B7j9bRLaISJeIfD6Y5zKxq7mzh6aO4Gvg+jp7ci6dPX2Dtpc0Y0//DG6G/0VmYM0ezNjQ16dUNHQwNcD3XN8ZXGNGamdVM4sitMAMTjXvCbb9erAzuL8Drhzi/pPAJ4HvB/k8JoZVhrAGrtfcyc5CM395uGZsahsiRWF8jvcN0UqFmcRX1dRBe7eHORNzA9q/wA1w/S00M2YoPZ4+dlc3Ryz/Fk5NWER1BldVn8UJYge7v05VXwbstyqBhbIGrteciTmA/0oKZmzqT1HwV0XBvaRlM7hmLCh3SyjOmZQT0P42g2tG60B9K929fSyMUAUFoL8aU7DNHmImB9c6RMUvbw3c0qLQzeBmp6dQWpRpM7imX2uXU0VhsDq44CxKMCbRldc574veiYDhFGTZDK4ZnZ2VTi+kSM7gpqckk5OeEnQt3JgJcK1DVPyqaOggKy2ZwiBWO/ozVCUFM/acWmTmr0yYM4MbbM6WMfFgX20rE3LTKcgKrO54bobN4JrR2VnZRHZaMjPHZUf0eYtCUBknZgJcE7+OnQxdDVxfcyflcuh4G129npA+rolPrUNUUchMSyY7LdlSFMyYUF7XytwA0xMAkpOEvIwUC3DNiO2qamJBcR5JSZFZYOY1Lictujm4xkDoS4R5zZucS2+fcuh4W8gf28Sftq5eUpKE9BT/b1vjctItRcEkPFVlf21LwAvMvPIHaddrzGD6+pRdVc0sLI5ceoJXKNr1BlsmbD2wBZgnIhUi8lERWSsia937J4tIBfBZ4KvuPpHLVDYR4e1iFmrzvJUULE3B4AS42ekpg14pGJdjzR5M4qtq6qSt2xPwAjOvgsw0Gtvt98ME7tCJNtq7PRHNv/Uqyk4LepFZUJ3MVPXGYe6vAUqCeQ4T25o6emju7A1LgDtrfA4pScI+W2hmgJauXr8LzLzGZaf3L3g0JlGV13oXmI1wBjfTZnDNyOysdDqYLZoa+XnJoux0TrZ1o6qjTn+0FAUTlHDUwPVKS0li5vhsm8E1gHcGd/A2o+NDkLNlTKzrLxEWYAUFr/zMVBotwDUjcPSEM2Ewc3xkF5iBk6LQ41GaO0ffndICXBMU74xZuFr4zZ2ca6XCDABtXZ6hZ3DdALfP2jubBFZe18L4nHQKswOroOCVn5VqrXrNiNS1dFGQlUp6yuATC+ESimYPFuCaoFSEcQYX4OxJuRw72dFfIsqMXa1uDu5gxmWn09unNHfG/B/xPBHZKyL7ReTLA+8cqsW5iHxGRHaJyE4RWS8iGZEbtokF+2pbRzx7C6dSFFTtA6AJTG1zJxNz06Py3KFo9mABrglKuGrgenlb9pbXtYbl8U38aBsuBzcnNP3Lw8nj8QBMA64CFgA3isiCAbv5bXEuIlPd7ctUdRGQDKwJ95hN7FBV9o+wRJhXQWYqPR6lvfv0soubN29m3rx5zJ49mzvvvPOM4wb7wCUi80TkNZ+vZhH5tHvfN0Sk0ue+VSMesIm6upYuJuVF5zN0KLpTWoBrguKtoBDqGrhe8yY5Aa617DVtw8zgjs/xviHGbqmwrVu3AnSp6kFV7QY2ANf47jNMi/MUIFNEUoAsoCrMQzYxpLqpk9auXmZPGtkCM/Dfrtfj8XD77bezadMmysrKWL9+PWVlZQMP9fuBS1X3qupiVV0MnA+0A3/y2eVH3vtVdeOIB2yirr6liwnRmsHt705pAa6JknDVwPUqLcoiIzWJPRbgjnmtAc7gBls7MZwqKysBfAdYAUwN5FhVrcQJMo4C1UCTqv7N377W+jwxea9kzR1FioK/dr1bt25l9uzZzJo1i7S0NNasWcMjjzxy2nHDfODyugw4oKpHRjwwE5NUlbqWTibmRmsG13JwTZSFqwauV3KSMGdirpUKG+NUlbZuz5BVFE61643dGdxB8h8DSooUkUKc2d6ZQDGQLSL/MsjzWOvzBNRfImwUM7h5fmZwKysrKS0t7f+5pKTE+yFspNYA6wds+4SI7BCR37jnrl/2YSw2NbT30OPRqOXgZqQG353SAlwzat4auKVhnMEFp+GDVVIY27p6+/D06ZApCkXZaaQmC1WNnREc2ciUlJQA+C5/LyHwNIPLgUOqWq+qPcDDwJtCO0ITy8prWxmfk9a/AGckCjKdY5o6TgUM/j5wjTTdTETSgNXAH3w23wOcBSzGudrwg8GOtw9jsamuxXkfjVYOLjhpCrbIzETFqRq44ZvBBScPt76ly2qcjmGtbhWNoVIUkpOEqQWZHIvhZg/Lly8HyBCRmW5gsAZ4NMDDjwIXikiWOFHIZcDu8IzUxKJ9dS3MHkV6AjhlwuD0GdySkhKOHTvW/3NFRQXFxcUjfeirgO2qWuvdoKq1qupR1T7gl8CKUQ3aRE1dsxNYTsyLzgwuOM0eLAfXRMWx/hq44Z3B9VZSsDSFsctbJi47bejmi6VFWVScjN0ANyUlBZxA9XGc4PRBVd0VSItzVX0J+COwHXgD5/37F9F4HSbyVJX9ta0j7mDmVZB5Zg7u8uXLKS8v59ChQ3R3d7NhwwZWr1490oe+kQHpCSIyxefH64Cdoxq0iZq6FjfAjVKKAsD47ODarwfVqteMbRURnMEF2FvTwoWzxoX1uUxsanG72QyVogBOgLvpjepIDCkYTaq6zHeDqq7zuT1oi3NV/Trw9fAOz8Si2uYuWrp6R1UiDCArLZmUJDltBjclJYW77rqLlStX4vF4+MhHPsLChQtZt24dwARwPnAB24A8oM8tBbZAVZtFJAu4AvjXAU/3XRFZjJNfftjP/SbG1TY7KQrRWmQGTtrZrqrmUR9vAa4ZtYqGdrLTkvtX54bLpLx08jJSLA93DGsLIEUBoLQwi4b2nmErLhgTb7xXsGaPcgZXRPy26121ahWrVp1epnbt2rXcdttt9TDsB6524IxZB1W9aVSDNDGjvqWL3PQUMtMi38XMq8jtTqmqoypFaikKZtS8JcLCVQPXS0Q4e3Ke1cIdw9q63QA3Y7gZXOdqwrEYTlMwZjT6S4SNcgYXnDzcJmvXawJQ19IZ1fxbcEqFdXv6+tdgjJQFuGbUKhs6KC6IzOWLuZNz2FvbYm0mx6jWLqf7Us4QZcIAphU5+eBHLcA1Caa8toWi7DTG5Yw+6MjPTKXZAlwTgLrmrqimJ4CzyAxG380sqADXrW9XJyJ+E8jF8VO35/oOEVkazPOZ2FLV1MHUMOffes2blEtLZy81zbFbAsqET/8iswBSFMBmcE3iKa9rZc4oKyh4FWSmnrbIzJjB1LV0RX8GN8jmPcHO4P4OuHKI+68C5rhft+LUxjMJoK2rl8b2HooLIhPgznUXmllHs7Ep0AC3ICuVnPSU/gWQxiQCVWVfbQtzgkhPAGcG11IUzHBUldrmzqhWUIDgu5kFFeCq6rM4faoHcw1wnzpeBAoGlA8xcaq6yQkgpkY4wLU83LGpNcAyYSJCaVGWpSiYhFLX0kVLZ++oS4R5FWSl0dhu9cTN0Jo7e+nq7Ytqkwegv6HJaJs9hDsHdypwzOfnQfuuW7u++OLtFhWpGdzC7DQm5qazt7aFzZs3M2/ePGbPns2dd955xr5DpcYMllYjIt8QkUoRec39WnXGA5uoaevqJTM1meSk4Rc0lhZmWoqCSSj7+lv0BjeDm5eZSktXL54+W8tgBlfvdjGbEPUZXG/79eikKAzH318j/83YrV1fXKlqdGZwIxXggtuyt7qR22+/nU2bNlFWVsb69espKysbuOtQqTG/Y/C0mh+p6mL3a2Oox29Gr7XLM2x6gldpURbHGtptQaJJGOW1TgWFoGdwM1NRhZZOS1Mwg+vvYhblRWaZaclkpSVHJ0UhABVAqc/PI+m7bmJYVWMHSQKTIvgJ79OXz+E9pV3Mnj2bWbNmkZaWxpo1a3jkkUcG7jpoakwAaTUmBrV19Q5bQcFrWlEWnT191LeOvoe5MbGkvK6FwqxUxruLbkYrP/PMdr3GDFTrzuBGe5EZOGkKsRrgPgp80L1kfCFOB5+YbzNkhlfZ2MnkvAxSkiNXae786UXk9rVQWnrqM1NJSQmVlZUDdw04NWaAT7gpDb8RkUJ/O1gqTXS0dvWOYAbXWwvXFpqZxFDutugNtua4tymPVVIwQzk1gxv9AHdcdlp0qiiIyHpgCzDP7Zf+Ud+e6sBG4CCwH/gl8PFgns/EjqrGjoimJ3j5u+zs500/4NQYH/cAZwGLgWrgB4M8v6XSRMFIAlxvLdyKBsvDNfFPVZ0SYUHm34LN4JrA1LV0kZWWHBPdIIuy0zgxyqtxQY1eVW8c5n4Fbg/mOUxsqmrq4LySgog/b0lJCceOnZqcraiooLi4eOBuI06NUdVa720R+SXwl6AHa0KmrauXyQGu6C1xa+EePWEBrol/9S1dNHX0BF0DF04FuAPb9Rrjq66li4m56WHvUhqIouz0UZcHtU5mZsT6+pTqxs6ozOAuX76c8vJyDh06RHd3Nxs2bGD16tUDdxtxasyA8nXXAX6bl5joaBvBDG5GajITctM5ZjO4JgGcatEb3AIzcFr1gs3gmqE5NXCju8DMa3yOk6IwmkXD0Z9/NnHneFsX3Z4+pkaoTa+vlJQU7rrrLlauXInH4+EjH/kICxcuZN26dQDenIGNwCqc1Jh24MPe4920mkuA8SJSAXxdVX8NfFdEFuOkMhwG/jVCL8kEYCRVFMBJU7AcXJMIvCXCZocyRcFq4Zoh1Ld0saA4L9rDAJwUhe7ePtq6PSNOmbAZXDNika6BO9CqVavYt28fBw4c4I477gBg7dq1APXgpMao6u2qepaqnqOq27zHquqNqjpFVVNVtcQNblHVm9x9z1XV1bYYMraMpIoCOLVwrdmDSQT7alvJz0xlQk7wC37SU5LJTE0+bQY3gLriZ4vIFhHpEpHPD7jvsIi84dYO3+azvUhEnhCRcve730W7JjbVNXcyKUZmcPubPYyiFq4FuGbEolED14xdnj6lo2dkM7ilRVlUN3XQ4+kL48iMCb/y2hbmTsoJWT6kb7tej8cTSF3xk8Ange8P8pBvd2uHL/PZ9mXgSVWdAzzp/mziQFtXL23dnpgoEQYwzi2Nd3wU3cwswDUjZgGuiaS2bqdN70guT5UWZdGnUO1ebTAmHp2qoBB8/q1XQVZqf5mwrVu3DltXXFXrVPVlYCSJu9cA97q37wWuDX7kJhLqWmKnRBic6mZmM7gmIiobO8hJTyEvw1K4Tfi1dTkB7ohmcL2VFCxNwcQxbwWFuSGooOCV5zODW1lZGUhd8aEo8DcReUVEbvXZPsmb5uV+nxj0wE1E1Da7TR5iLUVhFLVwLUIxI1bV2MGU/IyYKCFiEt+oAlxvswerpGDi2L7a0FVQ8CrITO3/4BdgXfGhvFlVq0RkIvCEiOxxu0UGzA2MbwWYNm3aSA41YdA/gxtjKQqjafZgM7hmxKqiVCLMjE2tXR6AES0ym5KfSUqScMxmcE0c81ZQCGWKgm8OboB1xQelqlXu9zrgT8AK965ab+lF93vdEI9hzXNiSJ07gxsri8yy0lLISE0aVbMHC3DNiEWri5kZm1o73RnctMBncJOThKlWScHEufK6FgqzUhnvzmKFgm8OboB1xf0SkWwRyfXeBt7BqfrhjwI3u7dvBh458xFMLKpv6SItJYm8zNi5wD8uO31UKQoW4JoR6ezxcKKtOyo1cM3Y1OqmKOSMMOd7WlEWxxpishZunojsFZH9InLG6vJhyjIViMgfRWSPiOwWkYsiN2wTaftqnQVmoUwHy89MpaPHQ1ev57S64vPnz+eGG244o664iEx2a4Z/FviqiFSISB4wCXheRF4HtgJ/VdXN7tPcCVwhIuXAFe7PJg44TR5io4uZ1zi32cNIxU6IbuKCVVAwkebNwR1pke+Swiwe31UTjiGNmsfjAZgGLMBpKf2yiDyqqr61mbxlma718xA/ATar6ntEJA3ICu+ITbSoKvtqW1h9XuApA4Hob/bQ0cPE3GRWrVrFqlWrTttn7dq13Hbbbd664jU47c4HagbOG2TsJ4DLQjluExneNr2x5AMXTCM1eeTzsRbgmhGJdpMHM/Z4y4SNZJEZOAvNTrZ1j6jNb7ht3boVoEtVDwKIyAackkr9Aa6bz1gnIu/0PdadNXsr8CF3v27AWlIlqLqWLlo6e0O6wAwgP8tJd2ju6ImZlfImdtS1dDEnhFU7QuF9y0e3+NBSFMyIeGdwp1qAayKkdZQzuNOKnMnNWKqk4JZg8g1KK4CpAR4+C6db329F5FUR+ZWb+3gGEblVRLaJyLb6+vqgxmyi49QCs9AGG94ZXG8erjG+6twUhURgAa4ZkcrGDkRgUp598jeR0dbVS3KSkJ4ysrer/lq4J2InwPVXlgmnlmggUoClwD2qugRoY5AOUbYyPf6Fo0QYOGXCgNPa9RoDzhqb5s5eJibI3/egAlwRuXKYxRKFIvInEdkhIltFZFEwz2eir6qxg4m56aSNMNgwZrTaujxkpyWPeNFDaf8MbuwsNCspKQHwXRJfAlQFeHgFUKGqL7k//xEn4DUJqLy2haLsNMbnhHY2Ld8CXDOIumanFNeEsT6DKyLJwN3AVTgLJm4UkQUDdvsK8Jqqngt8EGeBhIljVU1WIsxEVmtX74jTEwAKs1LJSU+JqVq4y5cvB8gQkZnuIrE1OCWVhuUu9jkmIvPcTZfhk7trEsu+2paw5EIWZFmKgvGvrsWtgWszuKwA9qvqQXexg3exhK8FwJMAqroHmCEik4J4ThNl1dbkwUTYaBeJiQglhZkxFeCmpKQAHAUeB3YDD6rqLhFZKyJrYciyTAD/BtwvIjuAxcB/Rfo1mPBTVcprW0OengCQm2EzuMa//i5mCTKDG8zS4qnAMZ+fK4ALBuzzOvBunFp5K4DpOJfkagc+mLXri32qSmVjB5cvsM8oJnJag6iCUFqUxZETbSEeUdCaVHWZ7wZVXedze7CyTKjqa8Ayf/eZxFHT3ElLVy9zQ7zADJwmKHkZKRbgmjN4u5glSoAbzAyuv4S4gYsl7gQKReQ1nJmHV4Fefw9miyJi38m2brp6+yjOT4zLFyY+jDZFAdxmDyc7BlvcZUxM8i4wC2WLXl/5WakW4Joz1LZ0kZIkFGaFrnNeNAUzg1sBlPr8fMZiCVVtBj4MIM4KkUPul4lDVgPXRENbV++oZxRKCzPp6PFwvLU7YRZOmMRX7i0RFqZ6pPmZqTS2Wwllc7q65i4m5KaTlBQ7XcyCEcwM7svAnKEWS7htJb0fBW4BnnWDXhOHKq2LmYmCti4POempozq2NAZr4RoznPLaVsZlpzEuxBUUvAoy02wG15yhrqUzYUqEQRABrqr2Ap9giMUSwHxgl4jswam28KlgB2yix5o8mGhwUhSSR3Vsf7OHGFpoZsxw9tW1hLzBg6/8zFQaLcA1A9THYJveYATVv1JVNwIbB2zzXSyxBZgTzHOY2FHV2EFmanJ/mRljwk1Vg2q1W1JoAa6JL6rK/tpWrlsaaIO7kcvPSqXZAlwzQG1zJ+dPL4z2MELGqvWbgDk1cDNGXHDfmNHq6u2jt09HHeBmpiUzITedYydjp9mDMUOpbnIqKIRrgRl4c3B7bPGl6dfd20dDew8Tcy1FwYxBlVYD10RYW5dTdGW0VRTAWWhmObgmXuxzF5jNDdMCM3Da9fb2Ke3dnrA9h4kv9a1ODdxJeYmTohA3Ae4/9x/nb7tqoj2MMa2qscPyb01EtXU5f4BHO4MLzkKzo5aiYOJEuVsiLBxNHrx82/Vu3ryZefPmMXv2bO68884z9hWRs0Vki4h0icjnfbaXishTIrJbRHaJyKd87vuGiFSKyGvu16qwvRgTEv01cC3AjbxfPHuQHz6xL9rDGLO6ej3Ut3TZDK6JqNb+GdzRLTIDZ6FZdVMn3b19oRqWMWFTXtfC+Jx0CrPDV4vUu47iREsnt99+O5s2baKsrIz169dTVnZG9+eTwCeB7w/Y3gt8TlXnAxcCt4vIAp/7f6Sqi92vjYwhm3dWs7emJdrDGJFTXcwsRSHilkwrYG9tS/8fPBNZNU1WA9dEXlu38/sezAzukmkFePqUv+8+o4GiMTFnX21rWDqY+cpzZ3C3vPgSs2fPZtasWaSlpbFmzRoeeeSR0/ZV1TpVfRnoGbC9WlW3u7dbcKophW9lXJxQVT734Ov86/9uo7MnflJAEq2LGcRVgFuIKuw41hjtoYxJ/TVwrYuZiaCWTudvam7G6Ct3vG3uREoKM7n3hcMhGpUx4aGq7K9rDVuDB6+CTGd2+MixY5SWnurXVFJSQmVl5YgfT0RmAEuAl3w2f0JEdojIb0Rk0KX5InKriGwTkW319fUjfu5Y09jeQ1u3h8Mn2ln3zIFoDydgdS1dJAlhq70cDXET4C4uKQDgVQtwo8K6mJloaGhzAtzCIErTJScJN104nZcOnWRPjfWZMbGrqqmT1jBXUACnTBhAu58roiOtkiMiOcBDwKd9GjndA5wFLAaqgR8Mdryq/kJVl6nqsgkTJozouWORdzJoUl46P3v6AIePt0V5RIGpa+5ifE46yQnSxQziKMDNz0pl1oRsXj3aEO2hjEneJg+TY2AGN4BFESIiPxWR/e4MwlKf+34jInUisnPAMUUi8oSIlLvfE6cYYBxrcNuJFgTZG/2GZaWkpyRx35YjoRiWMWHRX0Eh3AGum6KQlj+eY8eO9W+vqKiguLg44McRkVSc4PZ+VX3Yu11Va1XVo6p9wC+BFSEaesyraHD+Vv7XdeeQlpzEfzy6Ky7KsTldzBJn9hbiKMAFWFJayGvHGuPiZEk0VY0djM9JJyN19It9QsHj8QSyKOIqnAYjc4BbcWYTvH4HXOnnob8MPKmqc4An3Z9NlDW295AkkBtEDi5AYXYa1ywu5k/bK61FqYlZ5f0BbnhTFLLTkklJEgqmz6e8vJxDhw7R3d3Nhg0bWL16dUCPIc5U76+B3ar6wwH3TfH58TrgtAmFROadwV0yrZDPvWMuz+6rZ9PO2K8AVdvclVALzCDeAtxpBRxv7e7/hGQip7Kxg6kF0T/5t27dOuyiCOAa4D51vAgUeN9wVfVZnFXB/o651719L3BteF6BGYmG9m4KstJICsFlsw9eNIOOHg9/2HZs+J2NiYJ9ta1MyE0P+orFcESE/MxUWrqVu+66i5UrVzJ//nxuuOEGFi5cyLp16wAmuPtOFpEK4LPAV0WkQkTygDcDNwGX+ikH9l0ReUNEdgBvBz4T1hcUQyobnI6fhVmp3HThdBYW5/HNx8pifoF8XYK16YU4DHABtluaQsRVNXbERP5tZWVlIIsipgK+UUwFw6/unaSq1eCsDgYm+tsp0RZExLrG9p6QtYZeNDWfZdML+d8Xj9DXZ1eBTOwpr20J++ytV35WKk0dPaxatYp9+/Zx4MAB7rjjDgDWrl0LUA+gqjWqWqKqeapa4N5uVtXnVVVU9dyB5cBU9SZVPce9b7X3vXUsqGxsZ2phJiJCSnIS/3ntImpbOvlxDJc57e7t40SbBbhRNW9SLpmpybx6tDHaQxlTVJWqGOli5i89xc+iCH/TfSGJaBJtQUSsa2jvpjCEs1kffNMMjpxo55ly+3BiYouqUl7XypyJ4c2/9crPTKWp3dJ1Qq1yQEOkJdMKWbN8Gr994TC7q2NzketLh06gCue4i/kTRVwFuCnJSZxbkm+VFCKssb2Hjh5PTAS4JSUlgSyKqABKfQ8DqoZ56FpvGoP7vS740ZpgNbT3BFVBYaArF05mQm4691nJMBNjqpo6ae/2MCdCM7gFmamWjx4GVY2dTC08/W/ll66cR35mKl/9886YvHq0eWcNWWnJXDxnfLSHElJxFeCC82morKoprgooxztv0nws5OAuX748kEURjwIfdKspXAg0BXCJ7FHgZvf2zcAZib0m8hrdHNxQSUtJ4v0rpvH0vvq4Kd9jxgbv+ThrfIRSFDJTaezojshzjRXt3b2cbOs+o6V9QVYan7liLq8caWBXVWzN4vb1KU+U1XLJvAlRX0QeakEFuCJypYjsdcsxnbHqXETyReQxEXnd7VX94WCeD5w83B6PxtxJksi8JcJiYQY3JSVl2EURwEbgILAfp0TNx73Hi8h6YAswz10s8VH3rjuBK0SkHLjC/dlEWWOIZ3AB3n/BNJJF+L8XrWSYiR2HTzgB7ozxWRF5voKsNEtRCLGq/smgM/9WnjM1H4Bat2NYrHj1WCN1LV2sXDg52kMJuVHX3hGRZOBunGCgAnhZRB5VVd+aTbcDZar6LhGZAOwVkftVddQfG5eUFgDw6tEGzp9upUojYXd1CyIwY3x2tIcCwKpVq1i1atVp29auXcttt93mXRShOOfeGVT1xkG2nwAuC/FQTRA6ezx09HhCvqJ8Ul4GVy6azIPbjvHZd8wlKy24EmTGhMKRE+2kpyQxKUKlmvIyU2np6sXTpwlV3D+avBWeBqYoAIzPcd7Hjrd2RXRMw3l8Vw2pycLbz/a7rjquBTODuwLYr6oH3YB1A06pJV8K5Lr18nJwyjMFVStjYl4GUwsyec3ycCPmlaMNzJ2YS14Q7VKNGalGd3YpVFUUfN38phk0d/by51eHS80Oi7xhrnydLSJbRKRLRD7v5/5kEXlVRP4SmeGaSDh8vI3p47JCUhIvEAWZqaieaodtglc5xAzueLcFbiwFuKrK47tqeNNZ4xPy73swAW4gpZjuAubjLPB5A/iU29nkDCMpv7R4WoFVUoiQvj7l1aMNLLXZchNh3i5moayi4LVseiHzp+RFPE3B4/EATMNpRrIAuFFEFgzY7STwSeD7gzzMp4Dd4RqjiY7DJ9qYPi5yV8m83cxsoVnoVDZ0kJIkTMo7cxY+IzWZ3IwUjrfGTt7z3toWjpxoT8j0BAguwA2kFNNK4DWgGKcn9V1ugegzDxxB+aUlpQVUNnZQF2O5LInoQH0rLZ29LHVrEBsTKafa9IZ+ZkFEuHFFKWXVzeysbAr54w9m69atAF1DXflS1TpVfRk4I/IQkRLgncCvIjBcEyF9fcqRE+3MGBeZ/Fs4FeA2Wh5uyFQ2djA5P2PQlI8JOenUt8TODO7mnTWIwBULJkV7KGERTIAbSCmmDwMPux2l9gOHgLODeE7AqaQAWLmwCHjliNNUw/KdTaR5//CGYwYX4JrzppKeksSGl4+G5fH9cZuS+E7hBNKExNePgS8Cfq+EeVlDkvhS29JJV29fRGdwvR8cbQY3dCobOvymJ3iNz0mnPoZSFB7fVcuy6YVMSLAGD17BBLgvA3NEZKaIpAFrcEot+TqKu3BHRCYB83BWtwdlYXEeqcliaQoRsP1oA4VZqcyMkQVmZuwIZ4oCOJ2c3nnOFB55tYqO7siUHfTXqIQAm5CIyNVAnaq+EsDzWEOSOHL4eDtARN9n+2dwLcANmarGDr8LzLzG56bFTA7u0RPt7K5uTtj0BAgiwFXVXuATwOM4+WAPquouEVkrImvd3b4FvElE3gCeBL6kqseDHXRGajILivN51Vr2ht0rRxpYOq3QX7cwY8IqnIvMvN63vJSWrl42vhGZTqIlJSUAvhF7IE1IvN4MrBaRwzipDZeKyP+FdIAmKo64JcKmRzJFwWZwQ6rH00dNcyclw8zgHo+RFIXHd9UAWIA7GFXdqKpzVfUsVf22u22dqq5zb1ep6jvcntSLVDVkb8ZLSgvYUdFEr2fIK3UmCI3t3Ryob7MFZiYqGtq6yUxNDmvx8RUzi5g5Ppvfv3xs+J1DYPny5QAZw1z58ktV/11VS1R1hnvcP1T1X8I2WBMxh0+0k5acxJT8yNUaL8hM48tXnd1fetMEp6apkz4dul78hJx0mjt76eqNfqOqx3fVsGBKHqVFkftQFWlx18nMa8m0Ajp6POytbYn2UBKWN8d5iS0wM1HQ2BH6Jg8DiQjvW17K1sMnOVDfGtbnAqdRCU7q1qBXvkRksohUAJ8Fvuo2JPG7ONckhsPH2ygtyoxoPdq0lCTWvu0sFrkNCExw+kuEDZmi4C0VFt1KCnUtnbxytCGhZ28hjgPcpd6FZpaHGzbbjzSQnCScV1IQ7aGYMSjUbXoH8+6lU0lJEh6M0CwuTuvooa581bgztXmqWuDePq11o6o+rapXR2rAJrwOn2hjRgQXmJnQq2wYvAauV38t3CinKTxRVosqrFyUmNUTvOI2wC0pzGRcdpo1fAij7UcbOHtyLtnp1unJRF5De09Y82+9JuZmcNn8iTy0vYLuXkt5MpGl6pQIi2QFBV+bN29m3rx5zJ49mzvvPLND+VCNR0TkSn9NS0SkSESeEJFy93vC57lVBtDSPla6mT2+q5YZ47KYNyk3quMIt7gNcEWEJdMKbKFZmHj6lNeONlp5MBM1De3dYaugMNCa5dM43trNP/bURuT5jPGqb+mio8fDjPGRz4X0eDzcfvvtbNq0ibKyMtavX09ZWdnA3fw2HhGRZOBu/Dct+TLwpKrOwVlgfkbHvkRT2dDB+Jz0IdcMxEI3s6aOHrYcOM7KhZMTfvF43Aa44NTDPVDfRpMVqg65vTUttHV7+lNBjIm0xgjN4AK8de4EJudlsCFyaQrGAM4CMyAqM7hbt25l9uzZzJo1i7S0NNasWcMjjzxy2j5DNB5ZAewfpGnJNcC97u17gWvD9iJiROUwJcKA/nqz0czBfWpPHT0e5R0Jnn8L8R7guqs/Xz1ms7ihtv2oNXgw0dPXpzRGcAY3OUm4YVkJz+yrp8q91GhMJBx2S4TNjEKAW1lZSWnpqX5NJSUl3mYkgZgK+H4i9G1aMklVqwHc7xMHe5BEaUpS2dgxZIkwcNv1pqdEpZtZZ4+Hnz9zgK8/uosp+RljonpGXAe4i6cVkJWW3F/PzYTO9iMNjM9Jp2SYT6TGhENLZy99Gt4auAO9d5nzh/7BbTaLayLn8PE2UpKE4oKMiD+3v8YjI7hs7W/HgJqWDBhD3DclUdWAZnDBqaQQyW5mvZ4+Nmw9yiXfe5r/3rSHJdMKuO8jK0iKYMWOaInrADcrLYVV50zhsderae/ujfZwEsr2ow0snVaQ8Dk6JjaFu4uZP6VFWbxl9nj+sK0CT9+I/04bMypHTrRTWpRFSnLk/xyXlJRw7NipD3QVFRUUFxcHengFUOrzs2/TkloRmQLgfq8LfrSx63hrN929fRTnD/8hZXxOWkSqKKgqm3fWsPLHz/Llh99gcn4GG269kN99eAVzEnxxmVdcB7gANywrpbWrl01v2CxuqJxo7eLwiXZLTzBR0x/gZkduBheczmaVjR08sy+h/x6bGHL4RFtEO5j5Wr58OeXl5Rw6dIju7m42bNjA6tWrAz38ZWDOIE1LHgVudm/fDDzi5/iEcaoG7vD/j+Nz0sO+yKy5s4dPrH+Vtf/ndPVe9y/n86ePv4kLZ40L6/PGmrgPcJfPKGTGuCy7rBhC293awtbBzERLY4e3TW/kZnDBaVtZnJ/BumcORvR5zfAqGzu4+Lv/4O9liVPpwlsiLFo1cFNSUrjrrrtYuXIl8+fP54YbbmDhwoWsW7cOYAIM3nhEVXuBTzCgaYn70HcCV4hIOXCF+3PCCqQGrteE3PSwLjLbUdHI1T99ns07a/jilfN4/NNv5cpFiV8xwZ+4D3BFhPcuK+WlQyc5fLwt2sNJCNuPNpCaLJxjHW5MlDRGIUUBIDU5iVsunsXWQyd55YgtXo0lb1Q0cexkB7c/sJ2XD5+M9nBC4kRbN61dvVGbwQVYtWoV+/bt48CBA9xxxx0ArF27FqAehm48oqobBzYtcbefUNXLVHWO+z0x/sMGUdnoVMIIKAc3J52mjp6Qt+tVVX7z/CGuv+cFej19PPivF/LxS2ZHJfUlViTEK79+aQlJAn98pSLaQ0kIrxxpYEFx/pD1/IwJp4Y2dwY3M7IpCgBrVpRSkJXKumcORPy5zeCqm5xZsvE56Xz0dy+zp6Z5mCNi3xG3goJ1MYtvlQ0d5KankB/A+5W3Fu6JEM7iNrZ387H7XuGbfynjbXMn8NdPXsz504tC9vjxKiEC3Mn5Gbx17gT++IotDglWj6ePHRWNnG/1b00UNbZ3IwJ5UQhws9JSuPmiGTxRVkt5bUvEn9/4V9XYQXpKEhtuvZDMtGRu/s1WKhraoz2soBw+7q2BG70ZXBO8QCsoQOi7makqH/jVSzyzr46vXb2AX35wGYXZkb3yFasSIsAFZ7FZTXMnz+8/Hu2hxLU91S109vSxdHpBtIdixrCG9h7yM1NJjlIpm5vfNIOM1CR+/qzl4saKqqZOigsyKS3K4t6PrKCj28MHf72VE1FuexqMwyfaSE4SSgJYnGRiV0VDR0D5t+CUCYPQBbhbD51kV1Uz37pmER99y8wxmWs7mKAC3MH6UPvc/wURec392ikiHhEJy7z5ZfMnUpiVaovNgvTKESdVyioomGiKZJtef4qy01izfBp/frXSGj/EiKrGjv5asWdPzuPXH1pOZWMHH/ndy7R1xWeZyMMn2plakElaSsLMNY1JzrkZWIA7wduutyU0KQoPbD1KbkYK1yyeOvzOY8yof6uG6UMNgKp+T1UXq+pi4N+BZ8KVbJ6eksy1S6byxK5aGtqi1wYv3m0/2siU/Aym5FuDBxM9kWzTO5hbLp6JAr967lBUx2EcVY0dFPu8Ly2fUcTd71/KzqpmPvvga9EbWBCORLFEmAmNls4emjt7A05R8LbrDUWzh5Nt3Wx6o4Z3L5lKZpqtmRkomI+NQ/Wh9udGYH0Qzzes955fSrenj0deC7jVoPGhqrxypIGlln9roizaM7gAJYVZXHNeMRtePmofmqOsx9NHXUsXUwbMkl2+YBIfu3gWT5TV0uSWlosXqsqh4222wCzO9dfADXAGNyM1mZwQtet96JUKuj19vP+C6UE/ViIKJsAdqg/1aUQkC7gSeGiwBwtFP+oFxXmcMzWfB7dZNYXR2HroJJWNHbxtbny2SzSJIxZmcAH+9W1n0d7t4b4tR6I9lDGtpqkTVZjqp53tJfMm0KfO+1c8aWzvoaUzuiXC4sE3Ht3FD/+2N9rDGFR/DdwRtLUfn5MWdA6uqrJ+61HOn17IvMljozPZSAUT4I6kD/W7gH8OlZ4Qqn7UNywroay6mZ2VTaN+jLHq3i2Hyc9M5V3nBdyq0ZiwaIyBGVyAeZNzuezsifzuhUPWDjyKvHnQ/vIcl0wrID0liRcPnoj0sIJy2EqEBeTg8Tae3BO7nQW9M7glAc7gQmi6mb148CQHj7fx/hXTgnqcRBZMgDtUH+qB1hDm9ASv1edNJS0lyWrijlB1UweP76plzfJSy+UxUdXd20dbtycqNXD9ue2Ss2ho7+HBl20Ba7RUN3UC+F0bkJ6SzPnTC9lyIE4D3PE2gzuUBVPyKK9tpbu3L9pD8auyoYO05KT++raBCEU3swe2HiUvI4V3njslqMdJZMEEuEP1oe4nIvnA24hQL+r8rFRWLpzMQ9srbPXzCNz/4lH6VPmXCy2Xx0SXt4tZQYzUclw2o4hl0wstTSGKKvtncM9MUQC4aNY4dtc095878eDw8XZEsBJhw5g/JZduTx8H6lujPRS/KtzqHkkjKGk4Pic9qBzcE61dbN5ZzbuXllhDpiGMOsAdrA+1iKwVkbU+u14H/E1VI9ZH91OXzUEVbrl3m11WDEBnj4f1W49y2dmTKC2K/TfbzZs3M2/ePGbPns2dd57Z4lwcP3XL1+0QkaU+9/ktbSci3xCRSp+ydqsi9HLMAA3tzmKhwhjIwfW6fMEkDh5vi6sAKpFUN3VQkJVKVlqK3/svPGscqs5l23hx5EQbxfmZFqAMY2FxHgC7q2Ozc11lQ+BNHry87XpHOyv90PYKejzKBy6w9IShBFV8z18falVdp6rrfPb5naquCXagIzF7Yg7/c+MS9tQ087kHX6fPupsNaeMb1Zxo6+ZDb5oR7aEMy+PxcPvtt7Np0ybKyspYv349ZWVlA3e7Cpjjft0K3AMBlbb7kbesnapuDPuLMX41uEFkLOTgenn/yO6qis0/somuqrHztBJhA51XUkBmanJc5eEePtFu6QkBmDEum/SUJMpi9HevckD5ukCMz3Xe2060jXwW11lcdozlMwqZM8kWlw0lYatLv/3siXxl1Xw27azhx0+WR3s4Me3eFw5z1oRs3jx7XLSHMqytW7cye/ZsZs2aRVpaGmvWrOGRR87IfrkGuE8dLwIFIjKFkZe2G9Paunrp9UQ+760/RSGGZnAXFucDhGrxat4wDXLOFpEtItIlIp/32V4qIk+JyG4R2SUinwrFYOLBcIX001KSWDYjvvJwnRq4tsBsOCnJSZw9OZfdNbEX4Hb1eqhv6RrVDC6MrtnDlgMnOHS8jRttcdmwEjbABfjoW2by3vNL+OmT5Tz2+mDr38a2V4828HpFEze/aUZctPirrKyktPTU2saSkhIqK8+oezxYCbvhStt9wk1p+I2I+C0GHIpydvFAVVn542f54RP7Iv7cp1IUYmcGtyg7jakFmewMchbJ4/EATGOIBjnASeCTwPcHbO8FPqeq84ELgdv9HJuQfLuYDebCWePYW9sSF617m9p7aGjvYYaVCAvI/Cl5lFU1oxpbV2OrG53Fj4HWwPWaEES73vu3HiU/M5VV59jisuEkdIArIvzndYtYNr2Qz//hdXZUNEZ7SDHnvi1HyElP4d1LS6I9lID4e4PzE5gPVsJuqNJ29wBnAYuBauAHgzx/SMrZxbpDx9uoaOjgmX2RD+JjMUUBnDSFXUHO4G7duhWga6irCKpap6ovAz0Dtler6nb3dgvO2oeE78/p7RQ1XCvUi85yrkC9FAf1cL0VFGJhBne0axpEZJ7PmoXXRKRZRD7t3hfSNQ0LivNoaO+htjm2Prz0N3kY4Qyut13vSBeaHW/t4m+7arjeFpcFJKEDXHBKyKy76XzG56Tzsfu2UeOWmzHOL9dfdlTxnvNLyEn3v3gj1pSUlHDs2KlJ2IqKCoqLz6jbO1gJu0FL26lqrap6VLUP+CVOOsOY9erRRsBZ2NHSGdkOUU3tPaSnJMVcubpFU/M5dKKN1q7RL1x1rzb4XpcctEHOUERkBrAEeGmQ+xPmSoO3RNhwAe45U/PJTkuOizSFWKmBG8yaBlXd612zAJwPtAN/8jkuZGsaFkxxcuDLqmOrvr23yUNJwchm4r0pCiNt1/un7ZX0eJQbV5QOv7NJ/AAXnJPpVzcvo6Wzlyt/8iy/ef5QzNbUi6T1W4/S41E+eFH8lAZbvnw55eXlHDp0iO7ubjZs2MDq1asH7vYo8EF35uFCoElVqxmitJ2bo+t1HbAz/K8mdm0/2gBAn54KdiMlFtr0+rNoah6qwa3mHuQS64iuu4pIDk5XyE+rqt/BJNKVhv4mD/lDpyikJiexbEYRW+JgodmRE+0ATIty1Zog1zT4ugw4oKphqaV3tjfAjbGFZkdPOqXeJg9zbg6UmZZMdlryiFMU/vJGNedMzbfFZQEaEwEuODk8D3/8TSwqzuebfynjih89w8Y3qmMupydSejx93P/SEd46dwKzJuREezgBS0lJ4a677mLlypXMnz+fG264gYULF7Ju3ToA71/yjcBBYD/ObOzHYfDSdu4x3xWRN0RkB/B24DORe1WxZ/vRRpZMKyBJYNvhyF7ybYiRNr0DhWKhWUlJCYBv9D5Ug5wziEgqTnB7v6o+POqBxJGqxsBmcMFJU9hf10pdS2xfqTt8oo3JeRlRv0oR5JoGX/6aOQ27pgECu9qQk57C9HFZ7K5uGfoFRdhLh06wqDiftJSRh1LjR9jsoaKhndePNXLVOZNH/Fxj1ZgJcAHOnpzH/350Bb/78HIyUpL5+P3buf6eF3jlSOznbIXa5p011DZ3cXMczd56rVq1in379nHgwAHuuOMOANauXQtQD+DONNzulq87R1W3eY/1V9rO3X6Tu++5qrranfEdk9q6etlb08zFcyawoDiPbUcaIvr8je3dMRngTsxNZ3xOOjsrRz+LtHz5coCM4Rrk+CNOsvmvgd2q+sNRDyLOVDd1kCTOv/9wLprl5OHGcj1cVeW1o43MmRT9iYUg1zR4908DVgN/8Lk/oDUN7hgCutowf3IeZTFUC7els4dXjzbyljnjR3X8hJx0jo8gB3fzzhoAVi2yxWWBGlMBLji/vJfMm8jGT13Md64/h4qGDq6/Zwubd46deOZ4axf/+dcyzpqQzSXzJkZ7OCbGvF7RSJ/CkmkFLJtexKtHG+mJYLmwhvaemExREBEWTc1jV9XoZ3BTUlIAjjJEgxwRmSwiFcBnga+KSIWI5AFvBm4CLh1LDUkqGzuYnJdBSvLwf64WFueRm54S03m4OyqaOHi8jXfGwCr4INc0eF0FbFfVWu+GcKxpWFCcx+ETbbQFkQMfSi8ePElvn3LxKAPc8TnpI8rB3bSzhgVT8pgxPvoLE+PFmAtwvZKThPctn8ZTn7+E80ry+cIfd3DkRMSarUWNp0/51IZXaWzv4X9uXEryCNoLmrHBm3O7tLSQZTMK6ejxRDT3zZnBjb0AF2BRcT7lda109niCeZimoRrkqGqNqpaoap6qFri3m1X1eVUV9yrDmGlIMlwNXF8pyUmsmFnESzGch/unVytJS0niqhgIcINc0+B1IwPSE8KxpmH+FCcHfk9NbKQpPF9eT2ZqMudPHzT7Ykjjc9MCzsGtaerklSMNrLL0hBEZswGuV3Z6Cne9fykC3P7A9mD/cMW8n/x9H//cf4JvXbOIBW53JmN8bT/SwFkTssnPSmXZ9CIAXo5QHq6q0tjeE1Nten0tmpqHp0/ZGyN/ZEdLVXmirDYuWg9XN3UyZQR1Ri86axwHj7dR2xx7ebg9nj4ee72Ky+dPJD8z+ud4MGsaAEQkC7gCGJgPHvI1DQtirGXvc+XHuWBWEekpo8ujHp+TTmN7T0BXxza5V5hj4UNRPBnzAS5AaVEWP7hhMTsrm/n2X3dHezhh88y+ev7nqf285/wSblhuZUbMmVSVV481smSaMysxOT+D0qJMth2OTB5uS1cvvX0akykK4LPQLIg0hVhwoL6Nj923jd/883C0hzKkvj6lurFz2CYPvi5083BjMU3h+fLjnGjr5trFsVO+OMg1De2qOk5VT/uFCMeahuL8DPIyUmIiD7eioZ2Dx9u4eM7oK5R4S4WdCGCh2aY3apg3KZez4mhBeCywANd1xYJJ3PrWWfzvi0dC1vXsR0/s45fPHgzJYwWrqrGDT294lXmTcvnWNYuiPRwTo46caOdkWzdLp5267LZ8ehHbjpyMSMWRxjan5m4sLjIDKCnMJD8zNaiFZrFg9sQcVi6cxG//eYjmCNc5HonjbV10e/pG1Clq/pQ88jJiMw/34VcrKchKtbUPoyAiLCjOi4lSYc+XHwcYdf4tBN7NrK65k5ePnLTqCaNgAa6PL6ycx/nTC/nyQzs4WN8a1GN19ni45+kDfHvjbu5+an+IRjg6PZ4+PvHAdrp7+7j7A0ujXprGxC5v/dul0wv6ty2bUcTx1u7+2p3h1NgRm13MvETE6WgW5zO4AP926RxaOnu5N4Zncb2tUKfkBx7gJicJF8waF3P1cFs6e/jbrhquPnfKqMpKGVgwJZ+9NS14+qJb3vO58uNMyktnzsTRz6iOD7Cb2eO7alAlJhYlxhv7LfORmpzEXe9fQlpKEh+/P7h83NeONdLt6WPepFy+9/hefvvPQ6N6nN3VzbR3B7dq9M5Ne9h+tJHvvOdcu8RhhrT9aAM56SnMmXiqkPjyGc5sbiTycBvaY3sGF5yOZnuqWyJaWSIcFk3N5/L5E/nV84eC6s4WTv1NHkaQogBOubCjJ9v7W6nGgsd31dLV28d1S+KjLXosmj8ll44eT38nuGjw9Cn/PHCci+dM8FdSLWATAuxmtvGNGmZPzLHmDqMQVIArIleKyF63R/WXB9nnEreczS4ReSaY54uEKfmZ/Oh9i9lT0xJUPu7Lh04iAg987ALesWAS/++xMh58+djwB/q494XDXPWT57jh51s42TbyxSBdvR6+8egufv38IT70phlcfe4Z5V+MOc2rRxs5rzT/tOoaZ03IoSArdcg83L4+pS8EsyreRU+xWkUBnFJU3Z4+9tcFd5UnFvzbpXNo6ujhvi2Hoz0Uv6rcNr0jSVEAZ6EZwD/3Hw/5mEbrT69WMK0oi6XTCqI9lLgVCwvNdlY20djeE1R6AjhVFGDoFIXjrV28dOgEqxZZesJojDrAFZFk4G6cGngLgBtFZMGAfQqAnwGrVXUh8N7RDzVyLpk3kRtXTOP3246NemZj6+GTzJuUy7icdP7n/Uu4eM54vvzwjoDze3/29H6+/uguVswsory2lTW/2DKi7jyHjrdx/T0v8LsXDvPhN8/gjnfOH9XrMGNHe3cve2paTsu/BUhKEs6fVsjLgzREUVX+9f9e4YO/2Rr0GBravCkKsT2DC8F1NIsV55UW8La5E/jVc4eCvlIUDlWNHWSmJo+44sC8SbnMmpDNT58sj4m6qTVNnbxw4ATXLpka1KzfWDd7Yg4pSRLVPNznyp1ua2+eHVyAm5WWQlZaMsdbBp+8enxXDX1q1RNGK5gZ3BXAflU9qKrdwAacntW+3g88rKpHAVS1Lojni6h3L51Kd28fT+6uHX7nAXo9fbxypIEVM50SS+kpyfzipmWcP72Qz/z+Nf5eNvhjqirff3wv3928l2sWF3P/LRfw2w8tp6Khg/f9/MX+S3ZDeeS1Sq7+6XMcO9nBLz+4jK+/ayGpARRJN2Pb68ea8PQpS/zMMC2bUcTB+jZO+JlteHpvPU+U1fL8/uMcOxlcnq43RSEWSigNZua4bLLTktkVA4tdQuGTl83hZFs39794NNpDOYNTAzdjxEFhUpLwnevPpbKxg+9s3hOm0QXukdcqUYXrlsRO9YR4lJ6SzOyJOVGdwX2u/DgLi/P6c2iDMSE3fcgZ3E1v1DBzfDZnT7b0hNEIJuoJpD/1XKBQRJ4WkVdE5IODPVgg/agj6fxphUzKS2fTGzUjPnZXVTPt3R6Wzyjq35aZlsyvP7Sc+VPy+Pj92/nCH17n+fLjpyXLqyrf/EsZdz21nxtXlPLDGxaTmpzEm2aP538/uoLjLV28d92WQRtStHf38sU/vs6nNrzG/Cl5bPrUxVyxYNLIX7wZk1495qQgLCk9s3C5Nw93YNveHk8f//nXMqbkOzmSj+0IrgJJY3s3eRkpAXWtipakJGH+lLyEmMEFOH96IW+ZPZ6fP3uQju7YqgNe1dQZcJOHgZbPKOLDb5rJfVuORL2iwp9erWRxaQEzrQtV0BZMiV7L3rauXrYfbRh1e96BxuekD7rI7GRbN1sOnuCqRZNt1n+UgvkrMmR/alcKcD7wTmAl8DURmevvwQLtRx0pSUnCVYum8NTeuhFf4vIuxvHO4HrlZaRy30dWsHpxMRvfqOZffv0SF/zXk3z9kZ28cuQk//7wG/z2n4f5yJtn8l/XnXNaHuT504t44GMX0tbdyw0/38Lemhb21rTw0CsV/L/HdnHDui2s+PaT/OGVCj7x9tlsuPXCUf9hMGPT9iONzBqfTWH2mfmv55Tkk5aSxCsDAtz1W49yoL6N/7d6IUumFfDoa8EFuA3tPX6fP9YsmppPWXVz1Fdzh8onL5vD8dYu1m+NrVncqsYOikdQQWGgL6ycx/RxWXzpoR1RS8HYXd3MnpoWm70NkQXFedQ2d/m9mhRuLx06QY9HeWsQ9W99jc8ZvJvZE2U1ePqUVZaeMGrBBLjD9af27rNZVdtU9TjwLHBeEM8ZUVctmkxXbx//2DOyzIqXDp1k+rgsJuWdufK3MDuN77/3PF752hX87ANLWTa9kPUvH+P6e7aw4eVj/Nuls/na1fP9fmI7pySf3996EZ4+WPnjZ1n542f53B9eZ/3Wo/T29fHupVPZ8LEL+fzKeTE9A2Zij6ry6tEGFg+yACY9JZnzSvJPq6TQ1N7Dj57Yx0WzxnHFgkmsPq+YPTUtlNeOvstXQwy36fW1sDiP9u7oruYOpRUzi7hgZhE/f/ZAzHRz7Or1UN/SFdQH9cy0ZL57/bkcPdnOdzfvDeHoAvfnVytJSRKuPtcClVBYMMW70Czy3QSf3XecjNSkUbfnHWh8zuApChvfqGFaURYLrePoqKUEcezLwBwRmQlUAmtwcm59PQLcJSIpQBpwAfCjIJ4zopbNKGJCbjob36jmXecFVoGgr0/Zdvgkl88fOjUgIzWZVedMYdU5U9z6iLUkJTFsCZl5k3N56LaL+NOrlcwYl82iqXnMHJ9z2myvMSN19GQ7JwY0eBho2YwifvWccxk7My2Z//lHOY0dPXzV/UD2znOn8K2/lPHY61V89h3zRjWOxvYexuXEfoDru9AsUUrvfeqyObz/Vy/xh23HuOmiGdEeDrVNzh/+KSMsETbQBbPG8aE3zeB3LxzmqkWTucDtdBYJnj7lkdeqeNvcCYwLQc6mcRp5AJRVN4UsVSBQz5XXs2LmODJSQ1NLfnxOOg1uu17fdTIVDe38c/9xPvqWmZaeEIRRB7iq2isinwAeB5KB36jqLhFZ696/TlV3i8hmYAfQB/xKVXeGYuCRkJwkXLVoMg9uO0Z7dy9ZacP/c+2vb6WhvYflA9IThpKbkcr15wdeG3H6uGw+fbnfTA9jRuXVo40AQwe40wu552nl9YpGJuVlcO+Ww9xwfml/+9qJuRlcOGscj+2o5jNXzB3VG3NjRzezgyieHimzJ+aQlpLErqpmromhtqvBuOiscSybXsidm/bw6OtVTMhNZ0JOOuNz0pmQm87cybmcOzU/YleHvDVsR1oizJ8vXjmPf+yp44sP7WDzp94asWY3f9h2jJrmTr56tVWxCZXC7DSm5GdEfAa3qrGDA/Vt3LhiWsge09vN7GRbd/8VX1Xl3x9+g/SUJG66aHrInmssCmYGF1XdCGwcsG3dgJ+/B3wvmOeJplXnTOG+LUd4ak897wzgEtPWQ84l3AtGEOAaE23bjzaQlZbM3EmDB5fey3LbDp9kR0UTaclJfG7l6R+0Vp9XzJcffoOdlc2cU5I/4nE0tvXEdAUFr9TkJOZPzk2YhWbgdGm78/pz+J9/7Ke2uZO9NS38s/UETR2nWvlmpyWzfGYRF80ax4WzxrGwOC9sAW91k7fJQ/ABblZaCt+5/lxu/OWLfO/xvfzHuxYMf1AQVJWfPFnOj/9ezooZRbbYN8TmT4l8y95T7XlDt0bIt5uZN8D9w7YKnis/zreuXURJYVbInmssCirAHQuWzyhifI6TphBogDsxN51pRXZimvix/WgD55UUDBmsFGSlMXdSDg+8dJSqpk6+sHIeE3NPv3x85aLJfO2RnTy2o2rEAW6Pp4+Wrt6YbdM70ILifP66owpVTZjLiLMn5vKTNUtO29bV66GuuYsdFU1sOXicLQdO8PRep9JNbkYKbzprHG+dO4G3zplAaQjf97wlEb0VOoJ10VnjuOnC6fz2hUNcMKuIlQvDUzy/s8fDlx7awSOvVXH90hL+692LSE+x9uihtGBKHs/uq6ezxxOydIHhPLf/OBNz04ecBBipCW6zB283s5qmTr711zIumFnEB0I4UzxWWYA7jOQk4cpFk3jolcr+3MPBqCpbD51kxcyihPmDZxJfe3cvu6tbWPu2WcPuu2xGEQ+8dJSpBZl89C0zz7i/ICuNt86ZwGOvV/HlK88maQS54Y1uDdzC7NifwQVYNDWP9VuPUtHQEdLALtakpyRTWpRFaVFW/4f8upZOXjx4khf2H+e58uM8vsup7T1rQjZvnTOBd503hfOnB3cVq7Kxk3HZaSENYL6yaj47Kpv41IZXefBfL+LckoKQPTY4naduvW8b24828sUr53Hb286yvwVhMH9KHr19yr7alpD/H/rT16c8X17P28+eGNL/T+8M7vGWLlSVO/70Bj2ePr5z/bkjeu80/tlS+wCsOmcKHT0ento7dDWFioYOapo7zygPZkwse6PCbfDgp/7tQN7Umy9eOW/QwONd5xVT3dTJK0cHb+3rTzy06fW1yM093lWVOGkKgZqYm8Hq84q58/pzef5Lb+fvn30rX7t6AaWFWazfepTr79nC7Q9sD6gxzWCqmzpCXuowMy2ZX37wfMZlp/PRe7f15/mGwr7aFq69+5+UVTdzzweW8vFLZsdFcLt582bmzZvH7NmzufPOO8+4Xxw/FZH9IrJDRJb63HdYRN4QkddEZJvP9iIReUJEyt3voSk74Fo2o5D0lCTu+NNOWjp7hj8gSI++XkVDew+Xnj0xpI/bH+C2dvPo61U8uaeOz79jHjOsXnJIWIAbgAtmjmNcdhp/faN6yP28+bcW4Jp4suWgUwTfXwezga4+t5g/rL2I1UNUFbliwSQyUpNGXBPX28Usltv0+po3OZf0lCQ2vHyMvgSphzsaIsLsibl89C0zufcjK3jtP97BZy6fy9/LarnsB89w1z/KR1V6rKqxI2TpCb4m5mbw2w8vp7Pbw0d++3LQAVJfn/K/Ww5z7d3/pKu3j9/felHctFb1eDzcfvvtbNq0ibKyMtavX09ZWdnA3a4C5rhftwL3DLj/7aq6WFWX+Wz7MvCkqs4BnnR/DplJeRnc8y9L2V3dzC33bgtrabvG9m6+9ZcyFpcWcNWi0P6/Zqc77Xr31DTz9Ud3sWRaAR9+85lXxszoWIAbgOQkYeWiyTy1p27ITj9bD50kPzOVuROtrZ6JD8dOtvOLZw/y1gDLGCUnCctnDJ2Ck52ewmXzJ7HxjWp6PX0Bj6XBncGNlxzcjNRk7njnfJ7eW889zxyI9nBiRmZaMp+6fA5Pfu5tXDJvAt//2z7e8aNneaKsFtXAPwhUNY6+i9lw5k7K5Wf/spT99a3c/sCrIzpPfR072c77f/UiX3tkF+dPL+TRT7yZ80oLQjvYMNq6dSuzZ89m1qxZpKWlsWbNGh555JGBu10D3KeOF4ECERku0rsGuNe9fS9wbUgHDlx69iR+cMN5bD18kk88sJ2eUf4fDue/N+6hsaOH/373OWEpxzk+J51HXquivcvD995zrpX8DCELcAP0znOm0N7t4Zl9g6cpvHz4JMumF1rujIkLfX3KF/74Okki/Pe7zwnpY7/r3GJOtHXzwghapJ5KUYiPGVyAmy6czurzivnB3/byz/3Hoz2cmFJSmMU9/3I+999yAWkpSXzsvm18Yv2rp1VlGExzZw+tXb0UB1kDdygXz5nAf167iGf31fP1R3eNKPju61Pu23KYlT9+lp2Vzdz57nO47yMrmBJE17VoqKyspLT0VL+mkpISKisrB+42FTjm83OFuw2c7qV/E5FXRORWn30mqWo1gPt90Gv7InKriGwTkW319fUjGv81i6fyzWsW8ffddXzxjztCfiXlpYMn+P22Y9xy8cz++ruhNt6t+/2py+cw2ybHQsoC3ABdMLOIouw0/vpGjd/761o6OXi8zdITTNz4v5eO8OLBk3z1nfNDUmvU1yXzJpCbnsJjrweepnAqRSE+ZnDBuTz/3+8+h1kTcvjk+lepaeqM9pBizptnj2fTpy7mCyvn8fjOGlb95LnTOuL5483dDXe78RtXTONf3zaL+186GvAsfEWDM2v7H+6s7eOfeStrVkyLi3zbgfwF9X5eh78X5j3wzaq6FCeN4XYReesoxvALVV2mqssmTBh5Ca6bLpzOF1bO40+vVvL/HhvZB5WhdPV6+Mqf3qC0KJNPXxa+uvPnlhSwbHoht751+EW+ZmQswA1QSnISKxdO4sndtX7zfbYddhbUjKTBgzHRcuREG/+9cQ9vnTuB9y0vHf6AEcpITeYdCyezeVcNXb2B5cc1tveQmixkRagIf6hkp6ew7l+W0tHjCfRSaZ6I7HUX7ZyRmygiZ4vIFhHpEpHPD7jvyqGOjVWpyUnc/vbZ/PG2N5GcJLzv51v40RP7Bk0NqG50PiiEO8AF+NLKs3nXecV8d/NefvC3vUMGSDsqGrn27hdOm7UN9YfDSCopKeHYsVOTsxUVFRQXn5FfXwH4vkmUAFUAqur9Xgf8CVjh7lPrTWNwv4+s3/0IffySs/jYxTO5d8sRvrN5L54QzOSue/ogB+rb+NY1i8LaGOQbqxfyh7UXndbJzISG/YuOwCo3TeEXzx484xdo66GTZKYm96+sNiZWOakJO0hJEu589zlhm3lavbiYls5efvREeUBBbmN7NwVZaXE5EzZ7Yi53Xn8u24408J1Newbdz+PxAEzDmfFaANwoIgO7DpwEPgl833ejiCQDdw9zbExbXFrAXz/5Fq5dPJWfPFnOml+8SEVD+xn7easbFEfgkn9SkvDj9y3mfctK+Z9/7Ofrj+7ye6n7qT11vO/nL5KeksSfb39T3M7a+lq+fDnl5eUcOnSI7u5uNmzYwOrVqwfu9ijwQbeawoVAk6pWi0i2iOQCiEg28A5gp88xN7u3bwbOSOwNJRHhK6vmc+OKaax75gA3/HwLB+pbR/14B+pbufup/bzrvGIumRfaygn+xPt5FKsswB2Bi2aN421zJ/DDJ/ax+q7n2eZzmW3roZMsmVZAWor9k5rYdt+Ww2w9dJKvXb0grDNkbz5rHO86r5h1zxzgqp88N2yOakN7d9xUUPBn9XnF3HzRdH71/CE2DVJxZevWrQBdqnpQVbuBDTgLcvqpap2qvgwMTFZdAewf6th4kJuRyg/ft5gfv28xe2paWPmjZ/nWX8pOC3SrGjtISZL+VqbhlpzkdHH717fO4r4tR/jMg6+dNhO/futRbrlvG2dNzOZPt78pYXIlU1JSuOuuu1i5ciXz58/nhhtuYOHChaxbtw7Amy+wETgI7Ad+CXzc3T4JeF5EXge2An9V1c3ufXcCV4hIOXCF+3NYiQj/dd0ifvS+89hf18qqnzzHL/1MRg3HW482IzWJr1mL5bhmjR5GICU5id99eDl/faOab/91N+9Zt4V3L5nKx98+m901zXzqsjnRHqKJsi0HTvDo65XkpKeQk55KTkYKuRkp5KankJaShIjzRixAkggikCyCiJAkzmxSkns7uf+2uLfdY8U9FvpvZ6Qmk5GaRGZq8pDdyA4fb+POzXu4ZN4E3rusJKz/FinJSfzPjUu4fulUvv7oLj7wq5e4+twpfPWdC5jsp/xTQ3tP3NTAHcxX3jmf1yqa+MIfdzB/St4Z9SzdBTzdPpsqgAsCfHh/i338Husu+LkVYNq02OyIdO2SqSydVsgPn9jLvS8c5ncvHGbVOVP42MUzqW7qZHJ+RkRXlIsI/75qPgVZaXxn8x5aOnu5+/1Lufup/dz11H4umTeBu9+/lOz0xPqzuWrVKlatWnXatrVr13LbbbfVA6iTs3H7wONU9SBwnr/HVNUTwGWhH+3QRITrlpTw5rPG85U/7eTbG3ezcWc133vPecyeOHQHss4eD/vrWnl8Vw0vHjzJf113zhmdGk18Sazf1AgQEa4+t5hLz57I3U/t55fPHuKR16tQhRUzLP82EjZv3synPvUpPB4Pt9xyC1/+8umpiOJc7/kJsApoBz6kqtvd+65070sGfqWqd7rbi4DfAzOAw8ANqjqyTgU4C1Ce3F1HS2cvHWGszTiU1GQhIyWZ3IwUinLSGJedzrjsNMblpPHiwZOkJifx32FMTRjoknkTefzT41j3zAF+9vQBntpTx00XzSA3IwVVxdMHfaocrG/j/OkFERlTuKSnJPOzDyzll88e7O8t72uQ/M5Ap5iGWuwz8Hl+AfwCYNmyZTFbpHfauCx+vGYJX7zybH73wmHWv3SUx16vIjVZAmo8Eg63XXIW+Zmp3PHnN7j4u//geGs3a5aX8p/XLhryw6OJHRPzMvjlB8/n0der+Pqju1j10+c4f1qhM9mQkep+TyFJhP11reypaebwifb+2d63zB7PmjCsTTCRZQHuKGWlpfCFlWfz3vNL+dZfythT08KSadF5Qx5LvIXJn3jiCUpKSli+fDmrV69mwYLTUhF9C5NfgFOY/AKfHMYrcGa/XhaRR1W1jFOFye90F+98GfjSSMf33mWlvHeZ88bY6+mjrctDS1cPLZ29dPf2oThBjvM+6nzv63O+qyoe9d2meNzvfUr/bQBVJyhUBY8qXb19dHZ76Ozx0OF+NXf0crKtixNt3eyva+VEWxd9Ct97z7kRL2eUkZrMpy+fy3VLpvL/Hitj3SAr1hdHKagJpakFmXxj9UK/95WUlAD4TlP3L9gJwKCLfeJdcUEmX1k1n3+7dDa/f/kY//viES6cFb0Jg/dfMI28zBS+/NAbfO6KuXzi0vjoSmZOERGuWTyVi84axw8e38eB+laOnGinpbOHlq5eWrt6UYVpRVnMm5zLO8+ZwrzJecybnMvM8dlW7jMBWIAbpBnjs/n1h5ZHexhjhm9hcqC/MPmAALe/MDnwooh4C5PPwM1hBBARbw5jmfv9Evf4e4GnGUWA6yslOYn8rCTyYyivtNfTF9VZqOnjsvnNh5b3VyJJ9knJGAsBxPLlywEyRGQmUAmsAd4f4OEvA3NGeWxcyM1I5ZaLZ3HLxdEvmXT1ucWsWjTFAp04NzE3g++859wztvf1Kb19autmEpgFuCau+CtM/tJLLw3cbbDC5EPlMJ5WmFxE/C6djYfcxqHEyiXWjNT4KgUWKikpKQBHgcdx0mR+o6q7RGQtgKquE5HJwDYgD+gTkU8DC1S1WUQ+MfDYKLyMMcOC28SVlCSk2f9vQgsqwB0sn9Hn/ktwyoMccjc9rKrfDOY5zdgWZGHygHMYh3j+uMhtNDGtSVWX+W5Q1XU+t2tw0g/OoKobcVa1G2OMGcKoA9xh8hl9PaeqVwcxRmP6BVmYPG2Q7eAWJndnb8NemNwYY4wx4RPM9cqEqMlo4kswhcnxyWEUkTScHMZHfY6JWGFyY4wxxoRPMCkKgdZkvMgtBF0FfH6wnLF4z200keFbmNzj8fCRj3xksMLkq3AKk7cDHwZQ1d4hchjvBB4UkY/i5Ei+N3KvyhhjjDGhFEyAG0g+43Zguqq2isgq4M84pZvOPNByG02ARluY3L3Pbw5jtAqTG2OMMSb0gklRGLYmo6o2q2qre3sjkCoi44N4TmOMMcYYY4YUTIA7VD4jACIy2e0qhYiscJ/vRBDPaYwxxhhjzJBkkNaRgR3spB38mFP5jN8eUM/xE8BtQC/QAXxWVV8I4HHrgSN+7hoPHB/1gGOfvb7gTFfVCcPvFhp2nia0cL7GWDlPIfH/L+31jV5Ez1Ow99RoDyKMonKeBhXgRpqIbBtYPzKR2OtLDIn+OhP99cHYeI2Q+K/TXl9iSPTXaa8vPGKjrZExxhhjjDEhYgGuMcYYY4xJKPEW4P4i2gMIM3t9iSHRX2eivz4YG68REv912utLDIn+Ou31hUFc5eAaY4wxxhgznHibwTXGGGOMMWZIFuAaY4wxxpiEEhcBrohcKSJ7RWS/iHw52uMJBRH5jYjUichOn21FIvKEiJS73wujOcZgiEipiDwlIrtFZJeIfMrdnjCv0Z9EO1ftPI3/1+iPnafxxc7TxDhPwc7VSL7GmA9wRSQZuBu4ClgA3CgiC6I7qpD4HXDlgG1fBp5U1TnAk+7P8aoX+JyqzgcuBG53/98S6TWeJkHP1d9h52m8v8bT2Hkal+w8TYzzFOxcjdhrjPkAF1gB7FfVg6raDWwAronymIKmqs8CJwdsvga41719L3BtJMcUSqpararb3dstwG5gKgn0Gv1IuHPVzlMgzl+jH3aexhk7TxPjPAU7V93dIvIa4yHAnQoc8/m5wt2WiCapajU4JwkwMcrjCQkRmQEsAV4iQV+ja6ycqwn5f2jnacJJyP9DO08TUkL+P0b7XI2HAFf8bLPaZnFCRHKAh4BPq2pztMcTZnauxik7T+08jQd2ntp5Gi9i4VyNhwC3Aij1+bkEqIrSWMKtVkSmALjf66I8nqCISCrOCX6/qj7sbk6o1zjAWDlXE+r/0M5TO0/jgZ2nCXueQoL9P8bKuRoPAe7LwBwRmSkiacAa4NEojylcHgVudm/fDDwSxbEERUQE+DWwW1V/6HNXwrxGP8bKuZow/4d2ntp5Gg/sPE3o8xQS6P8xps5VVY35L2AVsA84ANwR7fGE6DWtB6qBHpxPqh8FxuGsLix3vxdFe5xBvL634FxO2gG85n6tSqTXOMjrTqhz1c7T+H+Ng7xuO0/j6MvO08Q4T93XZOdqhF6jteo1xhhjjDEJJR5SFIwxxhhjjAmYBbjGGGOMMSahWIBrjDHGGGMSigW4xhhjjDEmoViAa4wxxhhjEooFuMYYY4wxJqFYgGuMMcYYYxKKBbjGGGOMMSahWIAbYSIyTURaRSR5FMd+Q0T+LxzjMvFHRNaJyNdCva8x8UJEVERmR3scxpjYYwFumIjIYRG53OfnNSLSAMxU1RxV9bjbnxaRW6I2UBOT3POnQ0RaRKRRRF4QkbUi0v87q6prVfVbgTzeSPYd4ThnuEFGq/t1WES+HOrnGS23j32fiPzMz315IvJjETnqjn2/+/P4aIx1LPA5r1tFpEFE/ioipdEeV7iIyO9EpFdEiv3ct1JEnnV/x+tF5BkRWR2NcRqTiCzAjQARuRm4G3inqj4T7fGYuPEuVc0FpgN3Al8Cfh3dIQ2qQFVzgPcAXxORK6I9INcHgQZgjYikezeKSBpOP/SFwJVAHvAm4ASwIgrjHEve5Z4rU4Ba4H/C8SSjuUoW4ufPBq4HmoAPDLjvPcAfgPuAEmAS8B/AuyI8TGMSlgW4YSYitwI/AFaq6gs+M14pIvJt4GLgLndG4y73mIUi8oSInBSRWhH5is9DponIfe6n/l0issznuYpF5CF3NuCQiHzS575viMiDgx1rYpeqNqnqo8D7gJtFZBH0zw79p3v7EhGpEJHPiUidiFSLyIe9jzHCfceJyGMi0iwiL4vIf4rI8wGOdRuwC1jsPlaSiHxVRI64z3WfiOT7PNdq91xsdK9mzPe577CIfEFEdohIm4j8WkQmicgm9xz+u4gUDjOkDwJfBXo4PXj4IDANuE5Vy1S1T1XrVPVbqroxkNdqgqOqncAfgQXebSKSLiLfd2fVa8VJrcn0uf8L7vlaJSIf8X089xy/R0Q2ikgb8HYRme+eV43uebbaZ/9893ysd8/Pr4p7hUREPiQi/xSRH7nHHhSRN7nbj7nn8s3DvMTrgUbgm0D/viIiwA+Bb6nqr9zf7z5VfUZVPzbaf09jzOkswA2v24BvAZe5f/hPo6p3AM8Bn3DTFj4hIrnA34HNQDEwG2emyWs1sAEoAB4FvEFxEvAY8DowFbgM+LSIrBzuWBMfVHUrUIHzocifyUA+zv//R4G7hwgAh9r3bqDN3edmfP44D0dELgQWAfvdTR9yv94OzAJyOHXOzgXWA58GJgAbgcfc2VWv64ErgLk4Aeom4CvAeJz3r08yCBG5GGd2bAPwIE5Q63U5sFlVWwN9bSa0RCQL50Pbiz6bv4Pzf70Y571vKs7MJiJyJfB5nPNhDs7/4UDvB74N5AIv4bwn/g2YCPwbcL+IzHP3/R+c34FZwNtwzo8P+zzWBcAOYBzwAM55tNwd17/gTEzkDPESb8Y5vzcAZ4vIUnf7PKAUJ7g3xoSJBbjhdQXOm/cbIzjmaqBGVX+gqp2q2qKqL/nc/7yqbnRzeP8XOM/dvhyYoKrfVNVuVT0I/BJYE8CxJn5UAUWD3NcDfFNVe9xZyFacP6YB7yvOZd3rga+raruqlgH3BjCu4yLSAWwBfgb82d3+AeCHqnrQDSb/HSddIAUnuPmrqj6hqj3A94FMnFQBr/9R1VpVrcT5MPiSqr6qql3An4AlQ4zpZmCTqjbgBChXichE975xQHUAr8uE3p9FpBFoxnmP/B70z2x+DPiMqp5U1Rbgvzj1HnYD8FtV3amqbcA3/Dz2I6r6T1XtwwmSc4A73ffEfwB/AW50z/P3Af/uvscexrnSdpPPYx1S1d+675e/xwlKv6mqXar6N6AbJ9g9g4hMw/lQ94Cq1uJMUng/KI5zv9v5Z0wYWYAbXmtxZiN+5b55B6IUODDE/TU+t9uBDDdYmA4Uu5fTGt0/IF/Bye0a7lgTP6YCJwe574Sq9vr83I7zB34k+04AUoBjPvf53h7MePf4zwOXAKnu9mLgiM9+R9zHnzTwPjcoOYbzGr1qfW53+PnZ7+tzL2u/F7jffewtwFGcGT5wcm2nBPC6TOhdq6oFQDrwCeAZEZmMc+5lAa/4vIdtdreDc774nou+55WX7/3FwDH3vPI9ZirO+ZrGmefmUOcebrDqu22w36+bgN2q+pr78/3A+0UkFefcAzv/jAkrC3DDqw4nVeBinFktf3TAz8eAs0bxXMdwZhwKfL5yVXXVKB7LxCARWY7zBzigfNhRqgd6cS7tewW0yl1VPar6A6AT+Li7uQrnw5fXNPfxawfe534ILAUqRzt4H9fhLBz7mYjUiEgNzr+dN03h78BKcRYCmShwz5eHAQ/wFuA4TtC40Oc9LN9dkAbOjKfvuTjN38P63K4CSsWn8oh7TKX7XD2ceW6G4twD5zyb5XPu/RAnqL4K2Ivzfn19iJ7LGOOHBbhhpqpVwKXAlSLyIz+71OLkgHn9BZgsIp92F1zkisgFATzVVqBZRL4kIpkikiwii9ygyMQxccpZXY2Ty/d/qjqSlJcRcS/HPgx8Q0SyRORsTs9dDcSdwBdFJAMnB/Ez4pTrysG55Px7d/b4QeCdInKZO7P1OaALeCEEL+Vm4DfAOTiXqhcDbwYWi8g5OCk6x4CHRORscRbDjRORr4iIfSiMAHFcAxTizHb24aRV/cibSiIiU33WETwIfEhEFrj5u18f5ilewskl/6KIpIrIJTh53Bvc8/xB4Nvue+x04LNA0HXGReQinEmKFZw69xbhpMncrKrqPtfXROTD7u93koi8RUR+EezzG2McFuBGgKoewwly3wP894C7fwK8R5yakD91886uwHkjrgHKcXK5hnsOj3vMYuAQzgzFr3AWUZj49JiItOAEYnfgzAJ9eOhDQuITOOdNDU4guB4n8AzUX3FKc30MJ8j8X+BZnPOyE2exD6q6F2exzv/gnK/vwikh1R3M4EXEu8jyx6pa4/P1Cs4l75vdHN7LgT3AEzj5oFtxZtleGuShTWg8JiKtOP/m38b5/9jl3vclnAWKL4pIM85M+zwAVd0E/Bj4h7vPP4Z6Evc8Wo0za3oc5yraB1V1j7vLv+EEwAdxroo8gHO+ButmnFzgN3zPP5z3+qtFpEhV/4iTA/wRnJnmWuA/gUdC8PzGGECcD5PGGOOfiHwHmKyqAVdTMMYYY6LJZnCNMadxL9mf615CXoFTRuxP0R6XMcYYEyhbQW+MGSgXJy2hGGeh5A+wS6fGGGPiiKUoGGOMMcaYhGIpCsYYY4wxJqHEZIrC+PHjdcaMGdEehokzr7zyynFVnTD8nqFh56kZDTtPTTyI9HlqTKjFZIA7Y8YMtm3bFu1hmDgjIv46G4WNnadmNNySgHuBZOBXqnrngPvPBn4LLAXuUNXvu9tLgfuAyUAf8AtV/clwz2fnqRmNSL+fGhNqMRngGmNMIvJ4POB0zFoAVAAvi8ijqlrms9tJ4JPAtQMO7wU+p6rbRSQXp6XtEwOONcYYg+XgGmNMxGzduhWgS1UPuo0INgDX+O6jqnWq+jJOK1nf7dWqut293QLsxmk/bIwxZgALcI0xJkIqKysBfDu1VTCKIFVEZgBLGKTrmojcKiLbRGRbfX39KEZqjDHxzQJcY4yJkEHKMo6oVqOI5AAPAZ9W1eZBnucXqrpMVZdNmGDrhIwxY48FuMYYEyElJSUAab6bgKpAjxeRVJzg9n5VfTi0ozPGmMRhAa4xxkTI8uXLATJEZKaIpAFrgEcDOVZEBPg1sFtVfxi+URpjTPyzKgrGGONDVXFiydBLSUkBOAo8jlMm7DequktE1rrPvU5EJgPbgDygT0Q+jVN14VzgJuANEXnNfcivqOrG0Yylu7ePPlUyUpODeEXGGBObbAbXRMT/vniEK3/8LD2evmgPxZhBPV9+nOXffpK9NS3hfJomVZ2rqmep6rfBCWxVdZ17u0ZVS1Q1T1UL3NvNqvq8qoqqnquqi92vUQW3R060sejrj7PxjepQvi5jjIkZFuCaiPjDtmPsqWnhmb22otvEpv11Ldx2/yscb+1iR0VjtIcTViWFWaQkC68fa4z2UIwxJiwswDVhV9vcyY6KJgAefrUiyqMx5kwn27r5yO+2kZ7ivCVWN3VGeUThlZwknDM1n9cswDXGJCgLcE3Y/WNPHQBvnj2Ov5fV0djePcwRxkROV6+Hf/3fbdQ0d/KLDy5jQm46VY0d0R5W2C2eVkBZdTOdPZ5oD8UYY0LOAlwTdk/urqWkMJN/v2o+3Z4+/rLD8v5MbFBV/v2hN3j5cAM/eO95LJ1WSHF+BpVjIMBdUlpAj0fZXe23lK4xxsQ1C3BNWHV0e3iu/DiXz5/EwuI85k3K5aHtlqZgYsPPnj7Aw69W8tkr5vKu84oBKC7IHBMzuOeVFgBYmoIxJiFZgGvC6p/7j9PV28dl8yciIrx76VRePdrIwfrWaA/NjHEb36jme4/v5bolU/m3S2f3b3cC3M7Buo4ljCn5mUzKS7eFZsaYhGQBrgmrJ/fUkpOewgUzxwFw7ZKpJAk8vL0yyiMzY9mJ1i6+9NAOlk4r4M7rzzmt7m1xQSYdPR6aOnqiOMLIOK+kwGZwjTEJyQJcEzZ9fcqTu+t469zxpLmr0yflZfCWORP406uV9PUl9gyZiV0//ns57d0evvuec0lPOb3RQXF+BsCYyMNdPK2AwyfabeGnMSbhWIBrwmZnVRN1LV1cPn/SaduvXzqVysYOXjx0IkojM2NZeW0LD2w9ygcumMbsibln3F9ckAlAVWNilwoDWFxSAFgerjEm8ViAa8Lm77vrSBJ4+7yJp21/x4LJ5KSn8NArlqZgIu/bG3eTlZbMpy+f6/f+UwFu4s/gnlOSjwi8fqwp2kMxxpiQsgDXhM3fy2o5f3ohhdlpp23PTEvmnedMYdPOatq7e6M0OjMWPbOvnqf31vPJS+dQNOC89BqXnUZaShJVTYkf4OZmpDJ7Qg6vHWuI9lCMMSakLMA1YVHV2EFZdTOXDUhP8Hr30qm0d3vYvLMmwiMzY1Wvp4///EsZ08dl8cE3TR90v6QkYUp+xphIUQBYXOosNEv0qhHGmLHFAlwTFk+63csunz/R7/3LZxRRWpRp1RRMxKx/+Rjlda38+1Xzz1hYNlBx/tiohQvOQrOG9h6OnRwbr9cYMzZYgGvC4sndtUwfl8VZE3L83p+UJFy3pIR/Hjg+ZgIJEz3NnT386Il9XDCziJUL/V9V8DVWmj2AUyoM4FVLUzDGJBALcE3ItXf38sKBE1w+f9Jp9UUHun7pVFThz6/ZLK4Jr7v/sZ+G9m6+dvWCIc9Jr6kFGdQ2d9Lr6YvA6KJr3uRcMlKTbKGZMSahWIBrQu658uN0u93LhjJ9XDbzp+Txz/3HIzQyMxYdPdHOb/95mOuXlrBoan5Ax0wpyKRPobalK8yji77U5CQWFefbQjNjTEKxANeE3N/LasnNSGH5jKJh910xo5BXjzbSMwZmykx0PLajim5PH59/x7yAjxlLpcLAWWi2s6rZfg+NMQnDAlwTUn19ylN767hk3kRSk4c/vZbNKKK928Pu6uYIjM6MRQfr25iUl85kt0NZIKYWOPuOlQD3vNICunv72FPdEu2hGGNMSFiAa0Jqd00zx1u7ufTsCQHtv+z/t3fn8W3eVaL/P0eSJVve7dhZbCfO1jRpmqatXdJloBszbVnKMhTKQIE7TOmlpax3LtzLZX4z987CDFOg7F2AgRbaAgUKdIBSKNAhaZKmadLsibPYTmI73i3ZWr+/Px7JcRwvWi0/0nm/Xn7VlvRIXzWP5aOj8z2nuRqAbcf041GVHcd6fSxfUJrUMYsrC2eaGVgZXICdHQM5XYdSSmWKBrgqo146MQDA5UtnL08AK5BorC5h+7G+LK5KFbKjZ5IPcEs9LipLigomg9tYXUJtqZudsd9fpZSyu4QCXBG5SUQOiMhhEfnkFNdfKCKbRSQgIp+YdN1HRWSPiLwiIt8XkcQ/J1S2s7N9gNpSN001JQkf09pcw7Zj/ZloNF8xy3kqInJ/7PpdInLZpOudIvKSiPw83YWo+WHQH6LPF6S5NrkAFwqrVZiIsLGpipc1g6uUyhOzBrgi4gS+AtwMrANuF5F1k27WB9wLfG7SsQ2xy1uMMesBJ/CODKxbzVM72wfY2FSVUCumuJbmas6MBDje60/5cSORCMBSZj5PbwZWx77uBL426foPA/tSXoSad472+gCSzuCCVYfbWSABLlhlCkd6RhgaC+V6KUoplbZEMrhXAIeNMW3GmCDwGHDrxBsYY7qNMduAqV4ZXUCJiLgAL3AyzTWreWpwNMTh7pHxer5ExbstbEujTGHr1q0AgZnO09jP3zGWLUCViCwGEJFG4HXAQykvQs07x86kHuAuqSrh1GBh1OCCtdHMGNil/XCVUnkgkQC3AWif8HNH7LJZGWM6sbK6J4BTwKAx5tfJLlLZw67Yx5sbl1YlddyqujIqS4rYnsZGs87OToDghIumOk9nOpe/APwtMGOfJBG5U0S2i8j2np6elNer5sbRMz5EYGmtN+ljF1eWMDgaYiQQzsLK5p/4RDMtU1BK5YNEAtypPmtOqFhSRKqxsmbLgSVAqYi8a5rbauBgc/ENKhtifygT5XAILcuq2XY89QzuNPW7ky+c8lwWkdcD3caYFxN4nAeMMS3GmJa6usQ6RajcOXrGR0NVCR6XM+ljl8RahZ3KfJnCbLXiM+1pmHE/RDoqvUWsWFA6vlFUKaXsLJEAtwNomvBzI4mXGdwIHDXG9BhjQsCTwFVT3VADB/vb2T7AyrpSKkuKkj62pbmGth4fvSOpTY5qbGwEcE+8iPPP0+nO5auBN4rIMazShutF5JGUFqLmlVRahMU1xIY9ZLION8Fa8en2NCSyHyItG5uq2Nk+kIkNn0oplVOJBLjbgNUislxE3FibxJ5K8P5PAJtExCvWrqMb0E08eckYw872AS5dWp3S8a2xfrjbj6dWptDa2gpQPMt5+hRwR6ybwiaskplTxphPGWMajTHNseN+a4yZ8pMGZR/GmJRahMXFp5llsg43kVrxGfY0zLofIl1rFpVzZiRQMGUZSqn8NWuAa4wJA/cAv8IKTp8wxuwRkbtE5C4AEVkkIh3Ax4BPi0iHiFQYY14AfgjsAHbHHu+BLD0XlUMd/aP0+oJJbzCLu7ixErfLkXI/XJfLBdYbqmnPU+BpoA04DDwIfDClB1O20OsLMjwWTqlFGEB9uQenQzLaKizBWvHppLwfIlH1FR4AuodT+yRFKaXmC1ciNzLGPI0VHEy87OsTvj+N9XHvVMf+HfB3aaxR2cCOE1bmNdUA1+NyckljZboTzQaNMS0TL5h0nhrg7pnuwBjzHPBcOotQ80M6HRQAXE4HC8s9GS1RSLBWfDoJ74cQkTuxWuGxdOnSBO8eFpZbdcfdQwFW1pUlfJxSSs03OslMZcTO9gGKixxcuKg85ftoaa7hlc5BRoORDK5MFaq2NANcyPywhwRrxaeT8H6IVPc0nM3gFk57NKVUftIAV2XEzvYBLm6oxOVM/ZRqba4mHLVqeZWayRPb2vnsL/fPeJtjZ3y4HEJjdeJT9SbLdC/cBGvFp5POfoiE1FeczeAqpZSdaYCr0hYMR9lzcijl8oS4y5daAx9SrcNVhePHL3Xy8B+PMhaaPtt/rNfH0hpvWm+6llSVcGpgjGg0M10FEqkVn2FPw5T7ITKysJhyj4viIodmcJVStpdQDa5SM9l3aohgOJpyB4W4Sm8RaxaWsy3FTgqqcJzo8xOMRNnVMcgVy2umvE1bj4/mNMoTwOqFG4xEOeMLUB+rT82A2WrFZ9rTcN5+iEwSEerLi+nSDK5SyuY0g6vS9lKaG8wmammuZsfxfiIZypip/BOKRDk1aNXFTjfe2RjD8V5/yh0U4pZUWuUNJwcKJ6O5sMKjGVyllO1pgKvStrN9gPpyD4sr089wtTbXMBIIs//0UAZWpvLRqYEx4u9/pitn6RoKMBqKsLwu3QxurBdu5qeZzVv15cVag6uUsj0NcLPonu/t4EvPHsr1MrJuZ/sAG5uqsGZ5pKclPvAhvXZhKo+d6PMDsGJBKdunyfa3nRkBYHmaGdxsTDOb7+orPNoHVyllexrgZtGLx/t58UR+B2r9viDHev1sXFqVkftrqCphcWXxtB89K9XebwW4b760geGxMAe7hs+7zbEz1m3SzeBWlLjwup0FVaJQX17MSCCMT6eZKaVsTAPcLPIFwvT7J0/bzC87OwaAzNTfgrXJpaW5hm3H+qZriq8KXHufH5dDeMMlS4Cp63CPnhnB43KwuCK9shkRyXgv3PmuvlynmSml7E8D3CwxxuALRhjwB2e/sY3tPDGAQ2BDY1XG7rO1uZquoQAd/YUTVKjEnejz01BdwrJaL4sqiqecfnf0jJ9ltV4cjvTLZqxeuIVzLi4c74VbOFlrpVT+0QA3SwLhKJGoYSDPM7gvtQ9wwcJyyjyZ6zi3dnEFcHYSlVITtfeP0lTtjWX7q9l29Pxs/7FeX1oTzCZqqCqms5BKFGLTzLo0g6uUsjENcLMkXr82NBbK25ZXxhhejm0wy6SlNV7g7GYipSbq6PPTFDtHWptrOD00dk62PxI1nOj1p90DN25xZQlnRgIzDpXIJ+MlCprBVUrZmAa4WeILWH8MjYHB0fzM4h4942NwNJTxALeuzIPH5aBdA1w1iS8QptcXpKnG6m7Q2hybfnf8bB3uyYFRgpEoKzIU4MZbhZ3O4Mje+ayypAi3y0GPZnCVUjamAW6W+IJndyDnax3uzvYBgIx1UIhzOISmGi8nejXAVeeKd1BoqrYyuGsWlVPucbH16Nk63KOx0pZ0hzzELamyalILZaOZNc3MQ5dmcJVSNqYBbpZMbLGTr50UdrYPUOp2srq+POP33VRdMh7MKBXX3mcFmfEyFqdDuLy5+pyBD/EAN3M1uLFpZgWSwQVro5l2UVBK2ZkGuFkyEsj/DO6ek0Nc1FCJMwM71SdbGsvgaqswNVG8LjtegwtWmcKh7hH6fdbv2dEzPkrdTupitaTpWlRZWBlcsOpwNcBVStmZBrhZ4g+e3ZCSrxncE31+mmu9s98wBU01XoYD4bytX1apae/zU+p2Uu0tGr+sZVls+t1xq0zh6BkfzQtKMzJZD8DjcrKgzFNwAa6WKCil7EwD3CzJ9wzuWChCz3CAxursBLjaSUFNpaPf6qAwMXi9pKkKt9MxXqaQyRZhcVarsAIKcCuKGR4LMxosjM4RSqn8owFulvjPCXDzLwsZb8sU382eaUtrNcBV5zsxoUVYXHGRk4sbK9l6rI9gOEpH/2jGA9zCnWamWVyllD1pgJslvljmo9zjoj8PM7iTd7NnWvx+45uKlDLG0N43OuU519JczSudgxzqHiYSNRnroBC3sKK4oNpm1cenmRXQc1ZK5RcNcLNkJBCmyCnUVXgYyMM60ngGN1slCqUeF7Wlbs3gqnG9viCjoQhLp/jU4IrmGkIRw09e6gRgeV1mA9yaUjdDY2GC4WhG73e+WlgRH/agAa5Syp40wM0SfyCM1+2iqqQoL2twO/r8uF2O8Y8ys6GpxqvDHtS4qTooxF0e22j243iAm+EMbm2ZG4A+X/79Lk+lvtzK4OpGM6WUXWmAmyUjgQhlHhfVXjf9vvzL4Lb3+2msKsGRhRZhcUtrvJrBVePaZwhwq7xu1iws58xIkCpvEdWl7ow+dm2p9Uau11cYGc1qbxFFTtESBaWUbWmAmyX+YJhSj5Mqrzs/M7j9ozRUZ2eDWVxTjbWxJxwpjI+F1czGNzZOUxbT0mxlcTNdfwuwIJbB7R3Jv9/lqVjTzIp1k5lSyrY0wM2SkViJQrW3KC9rcNun2M2eaUtrvISjhlMFNEFKTe9Er58FZR5K3M4pr29trgEyN8FsoppYRrhQMrgAdeUercFVStmWBrhZ4guEKfO4qPIW4Q9GCITzp5/kSCBMvz+UtQ4KcfEAWutwFVhlMTO1pWtdbgW4KzO8wQygtixWolAgGVywNpppBlcpZVcJBbgicpOIHBCRwyLyySmuv1BENotIQEQ+Mem6KhH5oYjsF5F9InJlphY/n/mDEbxuq0QB8qsXbkesRVhjlksUdNiDmqi93z9+TkyloaqEb72vlXdtWpbxx64odlHkFHoLZJMZWBvNujSDm7dGAmFed/8f+fmuk7leilJZMWuAKyJO4CvAzcA64HYRWTfpZn3AvcDnpriLLwK/NMZcCFwC7EtrxTYxEsvgVudhgBvvTZvtEoXFlSW4HKIBriIciXJyYGzWTw2uW1M//qYyk0SEmlI3vSOFE/DVl3sYHA0xFsqfT5/UWUOjIfacHGJkLDz7jZWyoUQyuFcAh40xbcaYIPAYcOvEGxhjuo0x24BzojgRqQBeDTwcu13QGDOQiYXPd/5ghNJYiQKQV8MexnezZzmD63QIDdUltPfrsIdCd2pwjEjUZG1yXiJqSz0FVqJgtQorpAEXhSQ+Tr6s2JXjlSiVHYkEuA1A+4SfO2KXJWIF0AN8S0ReEpGHRGTKAjkRuVNEtovI9p6engTvfv4aCYTxepzjAW4+dVLo6B+lpMg5vvEmm7RVmIKZW4TNldoyd6ZKFCpmKfkSEbk/dv0uEblswnUfFZE9IvKKiHxfRIozsaCp1FXouN58Njxm5aPKi4tyvBKlsiORAHeqRqcmwft3AZcBXzPGXAr4gPNe0AGMMQ8YY1qMMS11dXUJ3v38FIpECYajlLnPlij051OJQmyzj0j2euDG6bAHBROGPGR5Y+NMakvdaXdRiEQiAEuZueTrZmB17OtO4GsAItKAVQrWYoxZDziBd6S1oBksjA170E4K+WkoVppQrhlclacSCXA7gKYJPzcCiValdwAdxpgXYj//ECvgzWv+gFWz5s3bGlz/nAUaS2u89PmC4x+nqcLU3u/H6RAWV2YtYTmr2rL0SxS2bt0KEJip5Cv283eMZQtQJSKLY9e5gBIRcQFeEn8tTlr9eAZXA9x8NBwLcCs0wFV5KpEAdxuwWkSWi4gbK2PwVCJ3bow5DbSLyJrYRTcAe1NaqY2MBGO1TR4nxUUO3C5H3pQoGGPo7B/NegeFuHggrVncwtbeN0pDVQkuZ+46G9aWufEHI4wGU9901dnZCTDxxWCqkq8py8KMMZ1YG3lPAKeAQWPMr6d6nEyUfNV43bgcouN685SWKKh8N+tfC2NMGLgH+BVWB4QnjDF7ROQuEbkLQEQWiUgH8DHg0yLSEdtgBvAh4FER2QVsBP4pC89jXvHHso2lHhciQrW3KG82mQ2OhhgOhOesFlJbhSmw/v1zucEMrBIFSG/YgzFTVndNvnDKsjARqcbK7i4HlgClIvKuaR4n7ZIvh0OsYQ+awc1L8QxumUczuCo/JXRmG2OeBp6edNnXJ3x/Gqt0YapjdwItqS/RfuIfp5e6rf+91V533tTgxluENc5hiYL1uAkFuBUicgCrNvEhY8y/TLxSrKLhLwK3AH7gvcaYHbGNOn8APFi/Ez80xvxdxp6ESltHv58b1y7M6RpqS88Oe0j1/G9sbASYuDtzqpKv6crCbgSOGmN6AETkSeAq4JGUFpOA+nKPZnDz1MhYGKdD8E4zGVApu9NJZlngi9XglsbeGVeWFDGYJwFufMjDXGXTKr1FVBS7Zs3gprN5BwgA1xtjLsH6lOEmEdmUqeeg0uMPhjkzEsxpBwWwShQA+tLopNDa2gpQPEvJ11PAHbFuCpuwShFOYZUmbBIRb+zN2g1kua94XXmxtgnLU8NjIcpinzIqlY80wM0CX6wGN/7O2Mrg5keJQvv4FLO5CzaW1s7eSSGdzTuxn0ditymKfSXaKURl2VwNFplNPIN7Jo1hDy6XC6xAddqSL6xPy9qAw8CDwAcBYpt1fwjsAHZjvX4/kPJiEmCN69UANx8Nj4W1g4LKa3p2Z4EvcG5tU3VpEf3H8yOD2943SkWxi8qSuduY0FTt5WDX8Iy3mWbzzqsm3Wy6ns6nYhP7XgRWAV+Z0PnjHCJyJ1b2l6VLlyb+JFTK5mqwyGziGdwM9MIdNMacU7Y1qeTLAHdPdWCsdGbOymfqy4vp8wUJhqO4XZoPySdDY2HdYKbymr5iZYEveG6JQpXXzeBocLoNJrbS0e+f80za0hov7f2jRKPT//9LZ/NO7PiIMWYjVr3jFSKyfprHyZt+zXYR/9RgaY4zuF631RUlnRIFu1kYaxXWU0AjigvF8FhIM7gqr2mAmwW+8S4KVolCVUkRoYgZD3ztrH0OW4TFNdV4CYajM35UmubmnXGxUdLPATelvGCVUSf6/HjdczM5byYiQm2pJ60SBbuJ98LVjWb5ZyQQplw7KKg8pgFuFvgCYUSgpOhsDS5Av80zP8YYK4M7x9OkEmkVls7mHRGpE5EqABEpwdqtvj/Tz0Olpr1vlKZq77zYDFNb5k572IOd1Os0s7ylNbgq32mAmwW+QIRS99ndqVVeq87J7tPMzowEGQtF57xEoSmBVmHpbN4BFgO/i/Vq3gY8Y4z5eeafiUpFLspippOJcb12Es/g9gxrBjffWCUKWoOr8pe+fcsCXyA8Xp4AVg0uwMCovTM/ZzsozG2JQkNVCSIJDXtIafOOMWYXcGkm1qoyyxjDiT4/V66szfVSAKgp9XDg9MwbHvNJbakHh0CXZnDzijFGM7gq7+nZnQW+YHh8gxlAdSyDa/dhD+O72ec4m+Z2OVhSWaLjevPcvd9/iaNnfGxorGRDYyUXN1SxIDYed67LYqazoMzNGZ+1YXQ+lExkm9MhLCjz0K0Z3LwyFooSjhrN4Kq8pgFuFvgC4fEpZjAhg2vzXrgd/fEpZnPfrqmppkTH9eaxjn4/T718kuULSnnq5ZM8+sIJAFwOK4jMdQeFuNoyN8Fw1NqgUyDBwcKKYu2Fm2eGx6xkS5lmcFUe07M7C3yByKQShfyowe3o91Nb6sbrnvvTZmmNl98f7Jnzx1Vz4zd7uwB4+D0tNNeWcrzPz66OAXZ3DHJqaIzW5TU5XqGlJjbsoc8XLJgAt77cw8lBzeDmk+FYp58KDXBVHtOzOwt8wTCLKorHfy5yOijzuGw/zay9b5TGHGXSmqq9dA0FGAtFKC7S2en55pl9XaysK2VFXRkAyxeUsnxBKbdubMjxys4VH/ZwZiTIstrSHK9mbtRXFPNyx0Cul6EyaHjMCnC1BlflM+2ikAXWJrNzXziqvEV5kcHN1TSppbXe8TWo/DI4GuKFtj5eu25RrpcyqwWxDG5vIfXCLfdwZiRIKBLN9VJUhsRLFArlUwhVmDTAzQJfMHJegFvtdds6gxuJGjoHRmnM0WafpgR64Sp7eu5AN+Go4bXrFuZ6KbOqiWVwC2maWbxVWCENuMh3msFVhUAD3CywNpmd+zG63TO4XUNjhCKGppocZXDHe+GO5uTxVfb8em8XC8o8XNpUleulzKo2Nk2tt4AC3IU67CHvjG8y00lmKo9pgJth0ajBP0UGt8rrtnUXhXgHhVy1a6otdVNS5NQMbp4JhCP8/kAPN66tx+GY/223iouclHlcBZXN1HG9+edsBldLFFT+0gA3w/yhCMA5XRTA6oVr5z648R60uWgRBiAiLK3xaoCbZ7a09TESCNuiPCGuptRdWCUK8QyutgqbV7qGxvDFuiEkKx7gagZX5TMNcDMs/oIzVQZ3aCxEJGpysay0tff7EYGGHAW4YNXh6rCH/PLM3tOUFDm5etWCXC8lYbVlbnpHCifAXVDmRkQD3PkkGjW88cvP8/lnDqZ0/PBYmDKPC6cNPjVRKlX69i3D4gHu5HfGVSVFGANDoyGqY3V8dtLRP8rC8mI8rty16PqHWy/SFmF5xBjDb/Z28+oLFtjq37W21FNQ3TxcTgcLyjycHND69/li/+lhuoYCHOtN7TwcHgvpBjOV9zSDm2G+gFWiMHkYQnVpfFyvPTM/7X3+nJUnxC2pKqHGhm8O1NR2dw5yemjMFu3BJqotsBIFgPVLKni5fSDXy1AxW9p6AehJsRZ8eCysAa7KexrgZtjIeInC5C4KVmBm1zrcjv7R8VZdSmXCM3u7cAhcf2F9rpeSlNoyK8CN2rTcKBUtzTUc6h6hv8AC+/lqczzATXHj33AgpPW3Ku9pgJth/mAswHWfX6IAMDhqvz8QoUiUU4OjORvyoPLTM3u7aGmusV1WvrbMQzhqGBqz55vVVLQ2W6OStx/vz/FKVDRq2Hq0D7AyuMYk/0ZrZCysHRRU3tMAN8NGptlkVh3P4Prs90fx1MAYUUPOhjyo/NPe52f/6WH+3EbdE+LivXDPFNBGsw2NlbidDrYf68v1UgrevtNDDI6G2NBYSShiGBxN/m+KliioQqABbob5g1YN7uSPf8YDXBvW4LbHNtQ05mjIg8o/v97bBWCr9mBxtQU4zay4yMnFjZVs0wA35zYfscoT3rBhCZBad4shzeCqAqABbobFuyh4J9Xglhe7cAi2nGbW1jMCQHNtaY5XovLFM3tPc8HCMpbZ8JyqLbUGH/QW0LAHsMoUdncOMhbr9a1yY0tbH8sXlHJxYyUAPSkEuMNjISo0g6vynAa4GTZeojCpBtfhECpLihiwYQ3uyx2D1Ja6WVxZnOulqDww4A+y7Vi/LbO3YPWFBThTQBlcgNbmakIRw07tppAzkajhhaO9bFpRQ1259Uarezi5jWbBcJRAOKqbzFTeSyjAFZGbROSAiBwWkU9Ocf2FIrJZRAIi8okprneKyEsi8vNMLHo+8wcjFBc5pmygXe1127KLwq6OATY0ViKiTcFV+n6zr5tI1HDjWnsGuPE+1n0FVIMLcPmyagCtw82hfaeGGB4Ls2lFLfWxADfZDG48CaM1uCrfzRrgiogT+ApwM7AOuF1E1k26WR9wL/C5ae7mw8C+NNZpGyOB8LTvjKu8RQzYrAZ3JBDmUPcIlzRV5XopKg8Ew1G++rvDrKgr5ZLGqlwvJyVFTgeVJUX0+lIuUaiYJWEgInJ/7PpdInLZhOuqROSHIrJfRPaJyJWpLiJZVV43FywsY9sx7aSQK/H+t5tW1FLmcVFc5Eg6wB2Odf/QGlyV7xLJ4F4BHDbGtBljgsBjwK0Tb2CM6TbGbAPOS0+KSCPwOuChDKx33vMHwud1UIir8rptV4P7SucgxmDbYETNL49sOU7bGR//+5a1OGw8JjTVcb2RSARgKTMnDG4GVse+7gS+NuG6LwK/NMZcCFzCHCcOWppr2HG837Yjx+1u85FeViwoZWFFMSJCXbkn6U1mw2OawVWFIZEAtwFon/BzR+yyRH0B+FsgOtONROROEdkuItt7enqSuPv5ZSQQOW+KWZyVwbVXgLurYwCw2gQplY4Bf5AvPnuIa1YtsN1wh8lqS90pZXC3bt0KEJgpYRD7+TvGsgWoEpHFIlIBvBp4GMAYEzTGDKTxNJJ2RXMNw4Ew+08PzeXDKqz6261H+3jVitrxy+rLi5PO4A5pBlcViEQC3KnSLAm9fReR1wPdxpgXZ7utMeYBY0yLMaalrq4ukbufl3yBMGWTOijEWTW49ipReLljkIaqEmrLPLleirK5L/zmEMNjIT79+rW2r+euLfWklMHt7OwEmHjgVAmD6ZIKK4Ae4FuxPQ0PiciUbSiylTBoaY7X4WqZwlzbe3KI4UCYK1eeDXDryjSDq9R0EglwO4CmCT83AicTvP+rgTeKyDGsTMX1IvJIUiu0GX8wPG0Gt9pbhD8YIRC2T5udXR0DbNT6W5WmIz0jPLLlOG9vXcqFiypyvZy01Za56U2hi8I0U6cmXzhdUsEFXAZ8zRhzKeADzqvhjT1OVhIGDVUlLK4s1n64ObC57QwAm5bXjF9WV+5JoQZXA1xVGBIJcLcBq0VkuYi4gXcATyVy58aYTxljGo0xzbHjfmuMeVfKq7WBmTaZVcaGPQzapEyhdyRAe9+olieotP3TL/ZRXOTkY6+9INdLyYjaUuvTmGRrURsbGwEmziaeKmEwXVKhA+gwxrwQu/yHWAHvnBERWppr2HasL6URsSp1W9r6WFFXSn3F2XaN9eUeBkdDSSVNRrREQRWIWQNcY0wYuAf4FdaGhieMMXtE5C4RuQtARBaJSAfwMeDTItIRqxcrOP5ghNJpSxSsFxS7tArb1TkIwAbdYKbS8PyhMzy7v5t7rl813rvT7mrLPBiT/GTC1tZWgOJZEgZPAXfEuilsAgaNMaeMMaeBdhFZE7vdDcDetJ5IClqbq+kaCtDRPzrXD12wwpEo2472ceWE+ltg/PcpmSyuZnBVoUjoDDfGPA08Pemyr0/4/jRWlmGm+3gOeC7pFdrMSGCmEgV7jevd1T6ICOMTc5RKViRq+H+/2EtTTQnvu7o518vJmPi43t6RIAuSqE93uVwAJ7ASBk7gm/GEAYy/rj4N3AIcBvzA+ybcxYeAR2PBcduk6+ZEa7P1Efm2Y3001Xjn+uEL0p5Y/e2mSQFufcXZALexOrF/i+FAmOIiB0VOnfOk8pu+hcsgY0xsk9k0JQolVgbXLp0UXu4YYFVdmU68USl7fFs7+08P89W/ugyPa+pPNuyoJjbsweqkUJ7s4YPGmJaJF0xKGBjg7qkONMbsBFqmum6uXLCwnPJiF9uO9fOWy2bMa6gMife/fdWKmnMuryuzyhWSy+CGtDxBFQR9C5dBgXCUqAHvdCUKsT+Kdhj2YIyJTTCryvVSlE2NhSLc98wBrmiu4eb1i3K9nIyKZ21T6aRgd06HcPmyap1oNoe2tPWysq6U+vJzx6WfHdebeIA7NBamXJMWqgBogJtB8RGI02U87VSDe3JwjDMjQS5p0vIElZoDp4c5MxLkvVc3274t2GS18QzuSMrTzGyttbmGQ90j9KfQSUIlJxyJsu1Y/zntweJqy9yIJJfBHRkLa/2tKgga4GaQP2DtZC2dpga3pMiJ2+WwRQZ3V/sAoBvMVOoOdA0DsHZx/u03rfJagUUqrcLyQbwOd/tx7Yebba+cHGJkivpbsMZG13jdSWVwtURBFQoNcDMonsGdrouCiFBVYo9pZjs7BihyCmsXJ11fqBQAB08P43E5WJqHG5GcDqHGm1ov3HywobESt9OhZQpz4IV4/e3y8wNcSL4X7rBmcFWB0AA3g3zBeIA7/YuHXaaZ7WofZO3iirzaGKTm1oGuYVYvLMPpyK/yhLjaMnfBligUFzm5uLFSBz7MgcPdI9SVe6ZtsVdX7qEnifNQA1xVKDTAzSBfLIM7XZswgCrv/M/gRqOGVzoHdcCDSsvBrmEuWJi/nwDUlLoLcpNZXEtzNbs7BxkL2Wcyox219/tpqi6Z9vq6cg89Q2MJ39/wWIgyj5YoqPynAW4G+WI1uDO11aryFs37DG7bGR/DgbAd628rROSAiBwWkfNGmMYa598fu36XiFwWu7xJRH4nIvtEZI+IfHjul55fBvxBuoYCrMnjALe2zENfgZYoALxqeQ2hiGHzkd5cLyWvtfeNzthvuL68mJ6RQEKT5SJRgy8Y0QyuKgga4GbQ2RKF6T/Wr/a6GRid3xncl2MbzC6xUYAbiUQAlgI3A+uA20Vk3aSb3Qysjn3dCXwtdnkY+LgxZi2wCbh7imNVEg52jQBwwaL8DXAXlLo5U6AlCgDXrKpjQZmbR184keul5K1wJMrpoTGaZhjiUFfuIRQxDCbwdyW+T0QDXFUINMDNoHiJwnRdFMDafT3gD87rOe67Ogbwup2sqi/L9VIStnXrVoCAMabNGBMEHgNunXSzW4HvGMsWoEpEFsfGoO4AMMYMY42kbpjD5eedg7EOCvmcwa0p9TA0FiYYjuZ6KTnhdjm4raWJ3+7v4uSAju3NhlODY0Sihqaa6UsU6pPohTs8ZgXBFdpFQRUADXAzaDzAnXGTWRGhiPUx0Xz1cscg6xsqbbU5qLOzE2Di58UdnB+kNgDtM91GRJqBS4EXpnocEblTRLaLyPaenp40V52/DnYNU+5xsbiyePYb21R8XO98LznKptuvWIoBHtuqWdxsaO/zA8yawYXEeuEOj2kGVxUODXAzyBeMUOQU3K7p/7dWeePjeufnH8VgOMreU0NcYrMNZtNkxCdfOFXEPn4bESkDfgR8xBgzNM3jPGCMaTHGtNTV1aW63Lx34LTVQSHfBjxMtCAW4BZymUJTjZdrL6jjsW3thCKFmcnOpvb+WIA7Qw3u2Wlms280iwe4ZRrgqgKgAW4G+QLhGbO3YJUoAPO2k8KB08MEw1HbbTBrbGwEcE+8CDg56WYdQNNUtxGRIqzg9lFjzJPZW2n+M8ZwsGuYNXlcfwtWiQIU5rjeid61aRndwwF+s7cr10vJO+19ozgdMuMnIfVJZXCtvzs66EEVAg1wM2gkEJ6x/hZgUYX1QjVf+0e+3DEAwMamqpyuI1mtra0AxSKyXETcwDuApybd7Cngjlg3hU3AoDHmlFhpxoeBfcaY++Z04XmoZyRAvz+U1y3C4GyJQiF3UgC4dk09DVUlPPLC8VwvJe+09/tZXFmMyzn9n+oyj4viIkdCAa5uMlOFRAPcDPIHIjN2UABrAtDVq2q575mDCX2kNNd2dQxQ7S2icYa+i/ORy+UCOAH8CmuT2BPGmD0icpeI3BW72dNAG3AYeBD4YOzyq4F3A9eLyM7Y1y1z+gTyyMHTVgeFfN5gBrAglsEt5BIFsKa63X5FE/91uJe2npFcLyevtPf5Z30tFhHqy4sT2mQ2pDW4qoBogJtBvuDsJQoiwj/cup5AKMo//WLfHK0scbs6BtnQWGXX2slBY8wFxpiVxph/BDDGfN0Y8/XY98YYc3fs+ouNMdtjlz9vjBFjzAZjzMbY19O5fCJ2diDWQSGfW4QBVJS4KHJKUlOk8tVtrU24HML3tGVYRrX3j864wSwu0XG92kVBFRINcDPIl0CJAsDKujI+8JoV/GTnSf505MwcrCwxD/zhCPtPD3P1qqlnniuViIOnh6ktdbOgbOrRovkinjnrGdIAt768mL+4aBE/eLFDJ5tlyFgoQs9wYMYNZnF1ZYkGuGGKnIJnho3QSuULPcszyJdAiULc3detYmmNl//zk1ey3kczkZ67//GnY/zT0/t5/YbF/PU1K7K6HpXfDuT5iN6J6is8dM3DUqNc+KtNSxkcDfGLXadyvZS80NFv9RaeqQduXH2FJ+E+uGUel10/oVMqKRrgZtBIAl0U4oqLnPz9rRdxpMfHg39sy9qaDnYNs/EfnuFTT+6mf5rNMI9tPcHfPbWHP1+3kM+/faOt+t+q+SUaNRwqgA4KcYsqiunSDC4AV66oZUVdqW42y5DxFmGJlCiUeRgcDREIz5w9HxkLawcFVTA0wM0gfzCxEoW469bUc/P6Rdz/7KHxht6Z9pXfHWY0FOGJ7e1c/+/P8cS2dqLRsxndH7/Uwad+vJvXXFDHl955KUUz7NZVajadA6P4gpGCyeAurCima0gzuGCVbPzVq5bx0okB9pwczPVybK+jb/YeuHGJDnsYHgvrBjNVMDSaySCrRCG5F4/PvGEdLofwd0/tyfj43hO9fn728knee1UzP//QNaysK+Nvf7SLt31jM3tPDvH07lN8/ImX2bS8lm+8+3I8rsTKK5SazviI3kX2GfOcjvoKD8NjYfzBcK6XMi/85WWNeFwOHtmim83S1d4/itvloC6BWvb6Cg1wlZpMA9wMCYajBCNRSt3JBYmLK0v46Gsv4Lf7u/nVnsw2Sv/GH47gcjj462uWs3ZxBU984Er+7S83cPSMjzd8+Xnu/f5LXLa0mofe00JxkQa3Kn3xDgqrCyWDW271te7WMgUAKr1FvOWyRp7Y3s5LJ/pzvRxbi7cIcyRQMlZXZp2HswW4Q2MhLVFQBUMD3AyJZ3CSzeACvPeqZi5cVM5nfvpKxj7u7B4e4wcvdvDWyxtZGBsu4XAIb2tp4rcffw3vvGIpr76gjm++rzWlNSs1lYOnh1lSWVwwbYjiv1tapnDWJ2++kEUVxXz4sZ3jgwVU8tr7/QnV38LZDO5sG82Gx8KU6+u9KhAa4GZI/IW8LIUXD5fTwRfesZGRQJgPfPfFjLTZefj5o4QjUe56zfkdEaq8bv7vm9bzzfe2FkwgoubGga6RvO9/O9HCWGDRlcAO9kJRWVLE59++kY5+P5/56Su5Xo5ttfeNJtRBAaCm1I1IIiUKIS1RUAVDA9wM8QetoNSbYJuwyS5cVMF9t13CzvYB/vePX0mrHndwNMSjW07wug1LWFZbmvL9KJWMcCTKke6RvJ9gNlF9PIM7qBncia5YXsM916/myR2d/HRnZ66XYztDYyEGR0MJZ3CLnA5qvO4Zh44YYxgJaBcFVTgSCnBF5CYROSAih0Xkk1Ncf6GIbBaRgIh8YsLlTSLyOxHZJyJ7ROTDmVz8fBLP4Kbzcf9N6xfz4RtW86MdHXzzv46lfD/f3XyMkUCY//6alSnfh1LJOt7nJxiJFkwHBYCKYhfFRY5kSxQqZnk9FRG5P3b9LhG5bNL1ThF5SUR+nu76s+ne61dx2dIqPv3jV7LWJSZftSfRQSGurtwzYy24PxghanRMryocswa4IuIEvgLcDKwDbheRdZNu1gfcC3xu0uVh4OPGmLXAJuDuKY7NC/6AlcFNpk3YVD58w2r+4qKF/OMv9vLHQz1JHz8ajPDN/zrGdWvqWLekIq21KJWMg6djI3oLKMAVEatVWIIlCpFIBGApM7+e3gysjn3dCXxt0vUfBubfnO9JXE4HX3zHpRjgo4/vJBzJ7kCbfNLeZw15aKxOrEQBYuN6Z8jgDo9ZSRjN4KpCkUgG9wrgsDGmzRgTBB4Dbp14A2NMtzFmGxCadPkpY8yO2PfDWC/KDaks9Iu/OcS//Of+VA6dE2czuOl1I3A4hPtu28jq+nLu+d5LHDvjS+r4x7edoM8X5IPXrUprHUol60DXMCKwqr4wWoTFLSxPvBfu1q1bAQIzvZ7Gfv6OsWwBqkRkMYCINAKvAx7K1PqzqanGy/9703q2H+/ny787nOvl2EZHEkMe4qyx0dOfh8Nj1p9nzeCqQpFIgNsAtE/4uYMUglQRaQYuBV6Y5vo7RWS7iGzv6Tk/c9l2ZoQnd3RkvFdspvjS2GQ2WanHxYN3tCACf/Od7eMvTLMJRaI8+MejtDZX09pck/Y6lErGwa5hltV4KUmyVZ7d1Vd46E4wwO3s7ASYOFJwqtfTmV5zvwD8LTBjOnS219O59KZLG3jzpQ3c/+whbR2WoI7+Uco8Lqq8iWdb4xnc6f5GDsUyuGUa4KoCkUiAO1UTvqSiTBEpA34EfMQYMzTVbYwxDxhjWowxLXV1dedd39pcQ/dwgBPztJYr3ibMm2aJQtzSWi9ffedltJ3x8dHHXz5n+th0frrzJJ0Do3zwWs3eqrl34PRwQZUnxC2MjetN5M33NLeZfOGUr7ki8nqg2xjzYgKPM+Pr6Vz7h1svoqKkiIefP5rrpdhCvAeuSOJj0+vKPYQihsHRqRMi8U8ZKzTAVQUikQC3A2ia8HMjcDLRBxCRIqzg9lFjzJPJLe+sK5ZbGcmtR/tSvYusGonV4GYigxt31aoF/J/XreU3+7r4wm8Oznjb9j4///ar/axdXMG1a3L/B00VlrFQhGO9ftYUUIuwuIUVHkZDEYYT6Pna2NgI4J54Eee/nk73mns18EYROYZV2nC9iDyS+srnTnlxEW+8ZAm/3ts1bQCmzmrv9ye1wQygvnzmXrhnSxS0BlcVhkQC3G3AahFZLiJu4B3AU4ncuVhvPx8G9hlj7kt9mbCqrozKkiK2H5ufH3H5g2EcAsVFme289p6rmrmtpZH7f3uYp3efmvI2pwZHuf3BLQTCUT7/9kuSetevVCa09fiIRE3BZnCBhMoUWltbAYpneT19Crgj1k1hEzAY28/wKWNMozGmOXbcb40x78rcM8mut17WSDAcnfZ1TFmMMVYP3CTqb8HK4ML0vXDPbjLTDK4qDLNGY8aYMHAP8CusTWJPGGP2iMhdInIXgIgsEpEO4GPAp0WkQ0QqsDIO78bKNOyMfd2S0kIdQmtzNduOzdcMbphStyvjwaWI8H/ftJ5Ll1bx8SdeZt+pcys8uofH+KsHX2DQH+K7/+1VXLhIOyeouXcwNqK3EDO49eXxaWazd1JwuVwAJ5jh9RR4GmgDDgMPAh/M/Krn3obGSlbWlfLkjo5cL2VOJbtvpNcXZDQUSXjIQ9zZDO7Ub7Q0g6sKTUJv5YwxT2O96E687OsTvj+N9THaZM8zdT1ZSlqba/jNvm56hgPj71bnC18gnLWRtx6Xk2+863Le8OXn+ZvvbOepe66hptRNny/Iux56gdNDY3z3r6/g4sbKrDy+UrM50DVMkVNoLsDBIuPTzBLvhTtojGmZeMGk11MD3D3THRhjngOeS2KZOScivOWyRv7tVwc43usriCE0X33uMN/6r2P84kPXjA8Fmc14D9wsZHBFwFtUWJtAVeGy1SSz1lgd7vZ5mMX1BSMpTzFLRH1FMd94dwvdwwHufnQHvSMB3v3wCxzv9fPQe1q4fJl2TVC5c+D0MMsXlOJ22eolJSPiJQqJZHAL3ZsvbUAEntyR/9PNvvTsIf71lwfoGQ6wLYnSuvZ+qwdusjW4ZR5r6MhMAW6Zx4XDoSVsqjDY6q/R+iWVFBc52DofA9xAOKMbzKaysamKf37zxWxu6+W6zz3Hwa5hvvHuy7lq5YKsPq5Ss9lzcpCLlhTmJwilHhflHley08wK0pKqEq5aWcuTL83flo+Z8MXfHOLfnznIrRuXUOQUdncOJnxsPIObzJAHsDLk9eXFM2wyC1Oh5QmqgNgqwHW7HGxsqpqXG838gQjeOej/+dbLG7nz1SvwByN8+Z2Xce2a+qw/plIz6RkO0DUU4KICnpxXX+GZtvZRneutlzXS3jeaVFbTTj7/zEE+/5uDvPWyRu67bSNrFpXzShIBbkf/KLWl7pRK3urKPTNkcEO6wUwVFFsFuABXNNew5+TgeE+/+WJkDjK4cf/rlrXs+Mxr+YuLFs3J4yk1kz0nrT/ehZrBhbO9cNXs/uKiRXjdzrzbbGaM4b5nDvLFZw/xtssb+de/3IDTIVzcUMnuzsGEM9Yd/X4akyxPiKufMcANa4CrCortAtzW5TVEDew4Pr/e/fuC2dtkNhX9qEnNF3tOWp091hVwBtcKcDWDm4hSj4ub1y/mF7tOMRaK5Ho5GXP/s4e5/9lD3NbSyGffagW3AOsbKhkcDdHeN5rQ/cSHPKSirtwzfYlCIDRnSRil5gPbBbiXLq3GIcy7dmG+QCRjU8yUspM9JwdZWuOlsqRw33RZ43oTm2am4K2XNTAcCPPrvV25XkpGjAYj3P/bQ7zu4sX8y1s2nLOR6+IG65ONROpwI1FD50DyPXDj6so8DI6GCITPf+NgZXAL93dUFR7bBbhlHhcXLamcdxPNrE1m2n5FFZ49J4dY31C42VuAheXFBCNRBvw6pSsRm1bUsqSyOG/KFPaeGiISNdy6ccl5XQrWLCpPeKNZ19AYoYhJugduXH3F9K3CRrREQRUY2wW4YPXD3dk+QDAczfVSAOtd92hIM7iq8AyOhjje6y/o+luY0CpMN5olxOEQ3nxZA3842JPQBLj5Lr6JbKpe5B6XkzWLytndOTDr/aTaAzeuMXbcro7zg2nN4KpCY8sA94rl1QTC0aRar2STP2hteNP6JlVo9sbqbwu5gwJMHPagG80S9ZbLGoka+OnOk7leStp2dw6yoMzNommGOVzcUMkrnUOzlrCk2gM3btOKWppqSnj4+aPnXD4WihCMRDWDqwqKLQPc+FCD+VKH6wtY9U5zuclMqflAOyhYzg57sH82cq6srCtjY1MVP5oHZQpPbG/nZy+nHmi/0jnI+obKaUe1J7rRrL3PjwgsqUps6tlkTofw365ezovH+9lx4uxG7OExKwlToQGuKiC2DHDryj2sWFDKtnlSh+uLZXBLtQZXFZg9J4dYWOGZd6Oz51r8+XcNaoCbjDdcsoT9p4c5NZhYh4FsiEYN//z0Pj77y/0pbRIcC0U41D0yvplsKoluNGvv97OoohiPK/W/Jbe1NFFR7OKhP7aNXzY8ZtWGl2mAqwqILQNcsOpwtx/vJxrN/a5lX6wnb6nW4KoCU8gTzCYqLnJS5S3SGtwkbYjVrO47NZSzNRzoGqbfH6Kjf5QjPb6kj49vMFs/Q4Ab32i2a5Y63I7+1DsoxJV6XLzzVcv45Sunx2t64xncco/W4KrCYd8Ad3kNg6MhDnWP5Hop4yUKXs3gqgIyGoxwuHuE9QVefxu3sFyHPSRrzaJyAPadGs7ZGjYf6R3//rkD3UkfP77BbIYAN77RbLaJZh19fhpT7KAw0XuvasYhMl6LGx+MpDW4qpDYN8BtrgZg6zyow41ncHWTmSok+08PETWwTjO4QLwXrmZwk1FRXERjdUlOM7ib23pZVutlZV0pvz/Yk/TxuzsGqS11s7hy5rrZ2TaaBcNRTg2NpZ3BBVhUWcwbL1nCE9vbGfSHxksUtIuCKiS2DXCX1nipL/fMizrcszW4GuCqwvFKrINCoffAjdNxvam5cFEF+0/nJoMbiRq2tPVy5Yparl1TzwtH+xgNJjddbfcsG8ziZttoZo3zheULSpN6/Om8/89W4A9G+N7WEwyNaQZXFR7bBrgiQuvyGrYd68v59KDxLgpag6sKyN6Tg1SWFNFQlf5HqvlgYYWHnpEAkXmwL8BO1i0up61nJCdje/eeHGJ4LMyVK2u5dk0dwXCUzW1nEj4+kQ1mcRsaqgCmrcN9ZMtxyjwubly3MOHHn8m6JRVcvaqWb//pKP2+IKABriostg1wAa5oruHU4BidA7nbgQswErA+/tEuCjlXISIHROSwiHxy8pViuT92/S4RuWzCdd8UkW4ReWVul2xfr3RaE8xmy1wVikUVxUSihl6fZnGTceHiCqIGDnXN/X6KeDB75YpaWptrKCly8vsDiZcpJLLBLO6CRWXTTjTrGQ7wi12n+MvLGzNa6vb+P1tB11CAx7e3A1pGpwqLrQPc1marH+4fDib+jjsbTvT5qSh26YtHDkUiEYClwM3AOuB2EVk36WY3A6tjX3cCX5tw3beBm7K+0DwRikQ5cHqY9Vp/O64+1gu3W8sUkrJ2sVXikos63M1HellRV0p9RTHFRU6uXFnLc0nU4c40wWyymTaaPb7tBMFIlHdfuSzxxSfg2gvqWF1fRluPD6/bictp6z/5SiXF1mf72sXlXLSkggf/2EY4kruxvUe6faysL9NMVg5t3boVIGCMaTPGBIHHgFsn3exW4DvGsgWoEpHFAMaYPwC5L+i2iUNdIwQjUdZpB4VxOuwhNctqvJQUOdl3em4D3HAkyrZj/Vy5onb8smvX1HG818/RM4m1C4tvMFsyywazuIsbKtndMXhOWV0oEuWRLSf4s9ULWFlXltyTmIWI8P4/Ww5oeYIqPLYOcEWEe29YzdEzPn62K3fjHo/0jGT8hUklp7OzEyA44aIOoGHSzRqA9lluMyMRuVNEtovI9p6e5Hdc54tXYhPMEvlotlDouN7UOBzCmkXlc57B3d05yEggzFUrF4xf9poL6oDE24UlusEs7uKGKobGwpyI9acFeGZvF6eHxnjPlc2JLz4Jt25sYEGZWzsoqIJj6wAX4LVrF3LhonK+9NvDOdncMTQWons4wKp6DXBzaZqNhpMvnOqvUFInjTHmAWNMizGmpa6uLplD88rek0N43U6W12Zmx3c+WFDmQUQzuKlYu7iCfaeG53TD8J9i/W83ragZv2xZbSnLFyTWLiyZDWZxU000+48/HaOxuoTrLqxP+H6SUVzk5N/+8hLuvWF1Vu5fqfnK9gGuw2Flcdt6fPxi96k5f/wjsUETmsHNrcbGRgD3xIuAyWn9DqBpltuoBLzSOci6xRU4HFqWE1fkdFBb6qFbp5klbe3icgZHQ5yewzcHW9p6WbOwnNqyc8dMv+aCOjYf6Z21q8O+JDaYxU3eaLb/9BAvHO3jjiuX4czi79J1F9bzxkuWZO3+lZqPbB/gAtx00SJW15fxpWcPzfno3vhox5V1msnKpdbWVoBiEVkuIm7gHcBTk272FHBHrJvCJmDQGDP374psLho17D01xEVaf3uehRUeLVFIwVxvNAuGo2w/1s+VK2vPu+7aNXUEwlG2tPVOceRZyWwwi4tvNNvdYR37H386jsfl4LaWplmOVEolKy8CXIdD+NANqznUPcIv95ye08c+0jNCkVNoqkl/+oxKncvlAjgB/ArYBzxhjNkjIneJyF2xmz0NtAGHgQeBD8aPF5HvA5uBNSLSISJ/PZfrt5OjvT78wQgXaf3teaxhD5rBTdZcj+x9uWOA0VCETSvOD3A3rajF43LMWqawu3OQmiQ2mMVd3FDFK52DDPpD/OSlTt60sYEqr3v2A5VSScmLABfgdRcvZkVdKffPcRb3SPcIy2pLKdL2K/PBoDHmAmPMSmPMPwIYY75ujPl67HtjjLk7dv3Fxpjt8QONMbcbYxYbY4qMMY3GmIdz9STmuz2xCWaawT1fghnclPo1i0iTiPxORPaJyB4R+XA2nkMuzPXI3s1HehE5t/42rrjIyaYVtbP2w93VkdwGs7iLGyoZGgvz788cYDQU4Y6rMtsaTCllyZuozOkQPnT9KvafHuaZfV1z9rhWBwUtT1CFY0/nIG6ng9X15bleyrxTX15Mry9AaJq2hWn2aw4DHzfGrAU2AXdPcaxtzeXI3s1Helm7qGLazOm1a+poO+PjRK9/yuvPbjBL/k1efKPZd7ccp7W5mou0l7RSWZFQgCsiN82ScbhQRDaLSEBEPpHMsZn0hg1LaK71cv+zh+ZkN24oEuV4r183mClbi0QNfb7g7DeMeeXkIBcsKsPtypv3xxmzsKIYY+DMyNRZ3HT6NRtjThljdgAYY4axSnGSanM3n83VyN6xUIQXT0xdfxt37Rqro8FzB6duFxbfYJZMB4W4+EYzY+COLLUGU0olEOCKiBP4CjNnHPqAe4HPpXBsxricDu65fjV7Tg7x2/2J9TFMx4k+P+Go0RZhytY++8v9XPUvz7I/gUb7xhj2nBzSCWbTmK0Xbqb6NYtIM3Ap8MJUj2PHfs1zNbJ3x4l+guEoV80Q4DbXella4522TCG+wSyVPtAel5O1iyuoL/dw0/pFSR+vlEpMIimYK4DDM2UcjDHdxphtQCjZYzPt1o1LWFrj5Qu/OZT1vriHtUWYsrlQJMoPX+xgLBTl7kd34AuEZ7x958AoA/6QbjCbxmzTzDLRr1lEyoAfAR8xxkz5rsSO/ZrnqpPCliO9OARal59ffxsnIly7po4/TdMubHfnINXeIhqqSlJawz+9+WIevKNF924olUWJ/HalM/0p4WMzlXEocjr42GsvYHfnIF977nDK95OIIz1WgLtCa3CVTf3+QA99viB3vnoFR8/4+PRPXpm2vMcYw0N/PArABg1wp1Qfy+B2TxPgptuvWUSKsILbR40xT2ZizfPFXI3s3dzWy8UNlVTMMtnr2jV1jIYi3PfMQQLhc4Pc3Z1DXNxYlfJ49vUNlVzSVJXSsUqpxCQS4KYz/SnhYzOZcbh14xLetHEJ9z1zkK1H+9K6r5kc6faxsMKjIxCVbf34pU5qS938j79Yw0duvIAfv9TJE9vbz7tdNGr4zE/38O0/HeOOK5exIYnen4WkttSD0yHTliik069ZrGjqYWCfMea+7D2L3JiLkb3+YJid7QNsmqE8Ie7Vq+t4y6UNPPCHNm754h/H/5aMhSIc6hpOaYOZUmruJBLgpjP9KSeTo0SE//fmi1lWW8q9338pqQ00ybA6KGh5grKnwdEQz+zr4g2XLKHI6eDu61ZxzaoFfOane84JMiJRw//80S6+u+U4H3j1Cv7+jRelnLnKd06HUFfmmXYiV5r9mq8G3g1cLyI7Y1+3ZO/ZzL1sj+zddqyfUMRw5RT9bydzOR3c9/aNfPt9rQTCUW77xmY+9eRuth7tI5ziBjOl1NxJJMDdBqyeJeOQjWPTUuZx8aXbL6XPF+QTP3g5471xjTEa4Cpb+8/dpwiGo7zpUqtqyOkQPv/2jVSUFHH3ozsYCYQJRaJ85PGd/ODFDj58w2o+efOFGtzOYmHlrMMeUurXbIx53hgjxpgNxpiNsa+ns/+M5k62R/Z+50/HqCh2ccUM9beTXbumnl9/9NXc+eoVPL7tBO/79jYgtQ1mSqm5M2uAa4wJA/cwQ8ZBRBaJSAfwMeDTsUlQFdMdm60nM9n6hko+/fq1/HZ/Nw8/fzSj990zEmB4LKw9cJVtPflSJysWlHLJhHKDunIP97/jUo71+vjUk7u553s7+NnLJ/nkzRfy0ddeoMFtAhaWe+jWcb0pyeZGsx0n+nl2fzcfeM1KvG5XUsd63S7+1y1reeqea1i7uJwVC0pT3mCmlJobCf2Wx7IET0+67OsTvj+NVX6Q0LFz6d2blvGnw7189pf7aWmu5tKl1Rm53yPdPgBWabN7ZUPtfX62Hu3j41MErVeurOWjN17Avz9zEIC/f+NFvOeq5hys0p4WVhSz9Vj2av/z2cSRvddfuDCj9/35Zw5SU+rmvWmcy+sbKvnZPdcQiRp9s6fUPJf3PUpEhM/+5QYWVhRzz/deYtA/uZNZauIdFFbWawZX2c9Pd3YCjJcnTPbB61bx/muW84W3b9TgNkkLKzwM+ENZH1iQj7I1sndLWy9/PHSG//6alZR6ksveTiYiuLS9l1LzXkH8llaWFPGld15K19AYH3hkOyOz9PpMxOHuEbxuJ4tifS+VsgtjDD9+qZMrmmtoqvFOeRunQ/j069dNGwCr6dXHXhN6hrVMIRWZHtlrjOG+Xx+kvtzDuzYty9j9KqXmt4IIcAEuW1rN5952CduO9fOuh15gwJ9eZ4X4BjP9mErZze7OQY70+HjzZRq8ZsPN6xex9X/foDWaKcr0yN7nD59h67E+7rl+FSVuZ0buUyk1/xVMgAvWx7Ff+6vL2HtyiLd/Y8u0zdgT0dbj0w1mypae3NGJ2+nglvWLc72UvFReXER9eTEOh775TUUmR/YaY/jcrw+ypLKYt7c2zX6AUipvFFSAC/DnFy3iW+9rpb3fz9u+sZn2Pn/S9+EPhukcGNUWYcp2QpEoP3v5JDesrafSqwNK1PyTyU4Kz+7r5uX2Ae69YTUel2ZvlSokBRfgAly9agGPvP9V9PuC3PaNzRzuTi5T0NYT76CgAa6ylz8e6qHXF+TNWlur5qn4yN69aQa40ajhvmcOsqzWy1svn7LJj1IqjxVkgAtWTe7jH7iSUMRw2zc2s6WtN+Fjz3ZQ0ABX2cuTOzqp9hZx7Zr6XC9FqSk5HMIVy2v4xe5TadXh/nLPafaeGuIjN66mSLseKFVwCvq3fu3iCn5w15VUlRTxzge38NXnDic08exIjw+HwLLaqXegKzUf9fmCPLO3i9dvWILbVdC/+mqe++C1K+kZDvDY1hNJH2uM4b8On+Ff/nM/q+rLeOMl+mmFUoWo4P/KLV9Qyk/vuZqbL17Mv/7yAH/zne2zdlg40jPC0hqv1nQp2zDG8KkndxE1RlslqXnvVStqedXyGr72+yMJZ3FDkSg/fqmDW+5/nr966AX8wQj/cOtFOHWzn1IFqeADXLB2PX/59kv5+zdexB8O9fC6+5/n5faBaW9/pHtEN5gpW3l8Wzu/2tPF//iLNePTopSazz58w2q6hgL8YHv7jLcbCYT5xu+P8Gef/R0fffxlwpEo//rWDTz/P6/jqpUL5mi1Sqn5RgPcGBHhPVc184O7rgLgbV/fPOXHY5Gooe2MT+tvlW209Yzw9z/by1Ura3n/NStyvRylEnLlylpallXz1eeOEAhPncUNhCO8++EX+Of/3M+KulK+9b5WfvWRV3NbaxPFRfoJm1KFTAPcSTY2VfHzD13DppW1fPLJ3eMjTeM6+0cJhqPaA1fZQigS5SOP78TtcnDfbRu1N6uyDRHh3htWc2pwjB+92Hne9cYYPvOTPbx0YoAv3X4p3/ubTVy3pl7PcaUUoAHulKpL3Tzw7su5YnkNn/jBy/zp8Jnx6+IdFLRFmLKDL/zmILs6BvmXt1zMokodK63s5c9WL2BjUxVf+d1hQpHoOdc98sIJHt/ezj3XreINlyzJ0QqVUvOVBrjTKC5y8uC7W1i+oJQPfPfF8abj8QB3xQINcNX59p0a4p+f3sexM75cL4UX2nr56nNHeHtLEzdfrFPLlP2ICB++YTWdA6P8eMfZLO7Wo338/VN7uP7Cej762gtyuEKl1HylAe4MKr1FfPt9V1DqcfHeb22lc2CUIz0j1Ja6qS5153p5ah568Xg/Dz1/lGs/9xzvfvgFfvnK6fMyT3NhcDTERx/fybIaL595w7o5f3ylMuXaNXVsaKzky7Es7qnBUT746IssrfHy+bdv1C4JSqkpuXK9gPluSVUJ3/5vrbzta5t5zze3UuR0aAcFNa13bVrGa9ct5PFt7Xx/6wnueuRFFlZ4eHtLE69aUYvTIbgcgiP23yKng0UVxVR5ixBJ/Q/1WCjC/tPD7Dk5yJ6TQ2xp66V7OMCP/vtVlHr011zZl4hw7/Wref93tvPE9nYe39bOWCjKY3deTmWJjptWSk1N//Il4MJFFXzjjst57ze3EYxEuf2KplwvSc1jCyuKufeG1Xzw2pU8d6CHR184zpd+d5j7f3t42mPKPS4aa7w0VZewtMbLwopiStxOSoqc4//1FDkYGg3TMzxG93CA7qEA3cNjdPSP0nbGRyQ2pKSi2MVFSyr5yI0XcElT1Rw9a6Wy54a19axbXMGnf/IKxsCDd7Swql7b3SmlpqcBboKuWrmAf7/tEj70/ZdYu7gi18tRNuByOrhx3UJuXLeQkwOjtPf5iRhDJGoIRw3RqCEQjo5f194/ytEzPv5wqIex0MxlDQ6BBWUe6is8LKst5ab1i7hoSQUXLamksbokrWywUvONiPCRG1dz53df5CM3rua16xbmeklKqXlOA9wkvOGSJaxvqKShqiTXS1E2s6SqhCUJnjfGGIYDYcZCEcaCUUZDEesrGKG82EV9hYfaUo/WHqqC8ucXLeKPf3sdjdX6+quUmp0GuElavkD736rsEhEqiouoKNb6QqUmaqrx5noJSimb0C4KSimllFIqr2iAq5RSSiml8ooGuEopNbcqROSAiBwWkU9OvlIs98eu3yUil0247qaZjlVKKWXRAFflEw0c1LwWiUQAlgI3A+uA20Vk8iSOm4HVsa87ga8BiIgT+MosxyqllEIDXJUnNHBQdrB161aAgDGmzRgTBB4Dbp10s1uB7xjLFqBKRBYDVwCHZzlWKaUUGuCqPKGBg7KDzs5OgOCEizqAhkk3awDap7jNdJefR0TuFJHtIrK9p6cn3WUrpZTtaICr8oIGDsoOjDFTXjzp56kaHJsZLp/qcR4wxrQYY1rq6uqSW6RSSuWBedkH98UXXzwjIsenuGoBcGau1zOH9PmlrhpYMumyrAQOwAMAItKj52neytZzLAVWTvi5ETg56TYdQNMUt3FPc/mMZng9hfz/t9Tnl7plWbpfpebEvAxwjTFTphxEZLsxpmWu1zNX9Pmldd9XAv/fhIuyHjjoeZq/svUcRcQFHBSR5UAn8A7gnZNu9hRwj4g8BrwKGDTGnBKRHmD1LMeeZ7rzNLaevP631OenVOHSEgWVL7YR++MvIm6sP/5PTbrNU8AdsW4Km4gFDgkeq1TajDFh4B7gV8A+4AljzB4RuUtE7ord7GmgDTgMPAh8cKZj5/gpKKWULczLDK5SyTLGhEUk/sffCXwzHjjErv86VuBwC1bg4AfeN9OxOXgaqgAYY57GOhcnXvb1Cd8b4O5Ej1VKKXU+uwW4D+R6AVmmzy8N8yhw0H9H+yuE5wj5/zz1+SlVoGSaXb1KKaWUUkrZktbgKqWUUkqpvKIBrlJKKaWUyiu2CHBF5CYROSAih0Xkk7leTyaIyDdFpFtEXplwWY2IPCMih2L/rc7lGtMhIk0i8jsR2Scie0Tkw7HL8+Y5TiXfzlU9T+3/HKei56m9FOp5qlQ65n2AKyJO4CvAzcA64HYRWZfbVWXEt4GbJl32SeBZY8xq4NnYz3YVBj5ujFkLbALujv275dNzPEeenqvfRs9Tuz/Hc+h5aksFd54qla55H+ACVwCHjTFtxpgg8Bhwa47XlDZjzB+AvkkX3wr8R+z7/wDeNJdryiRjzCljzI7Y98NYfTsbyKPnOIW8O1f1PAVs/hynoOepzRToeapUWuwQ4DYA7RN+7ohdlo8WxgYPEPtvfY7XkxEi0gxcCrxAnj7HmEI5V/Py31DP07yTl/+GBXSeKpUWOwS4MsVl2tvMJkSkDPgR8BFjzFCu15Nleq7alJ6nep7aQYGdp0qlxQ4BbgfQNOHnRuBkjtaSbV0ishgg9t/uHK8nLSJShPVi/Kgx5snYxXn1HCcplHM1r/4N9TzV89QOCvA8VSotdghwtwGrRWS5iLiBdwBP5XhN2fIU8J7Y9+8BfprDtaRFRAR4GNhnjLlvwlV58xynUCjnat78G+p5quepHRToeapUWmwxyUxEbgG+ADiBbxpj/jG3K0qfiHwfuBZYAHQBfwf8BHgCWAqcAN5mjJm8ccIWROQa4I/AbiAau/h/YdWN5cVznEq+nat6ntr/OU5Fz1N7KdTzVKl02CLAVUoppZRSKlF2KFFQSimllFIqYRrgKqWUUkqpvKIBrlJKKaWUyisa4CqllFJKqbyiAa5SSimllMorGuAqpZRSSqm8ogGuUkoppZTKK/8/dYwHsTNlvekAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(11.7, 8.27)\n",
    "\n",
    "plt.subplot(241)\n",
    "# Usage of various appliances\n",
    "plt.plot(list(range(24)), by_hours_df['Total Usage'].values)\n",
    "plt.title('Total Usage')\n",
    "\n",
    "plt.subplot(242)\n",
    "# Usage of various appliances\n",
    "plt.plot(list(range(24)), by_hours_df['Drawing_AC'].values)\n",
    "plt.title('Drawing_AC')\n",
    "\n",
    "plt.subplot(243)\n",
    "# Usage of various appliances\n",
    "plt.plot(list(range(24)), by_hours_df['UPS'].values)\n",
    "plt.title('UPS')\n",
    "\n",
    "plt.subplot(244)\n",
    "# Usage of various appliances\n",
    "plt.plot(list(range(24)), by_hours_df['Living Room'].values)\n",
    "plt.title('Living Room')\n",
    "\n",
    "plt.subplot(245)\n",
    "# Usage of various appliances\n",
    "plt.plot(list(range(24)), by_hours_df['Kitchen'].values)\n",
    "plt.title('Kitchen')\n",
    "\n",
    "plt.subplot(246)\n",
    "# Usage of various appliances\n",
    "plt.plot(list(range(24)), by_hours_df['Dining Room AC'].values)\n",
    "plt.title('Dining Room AC')\n",
    "\n",
    "plt.subplot(247)\n",
    "# Usage of various appliances\n",
    "plt.plot(list(range(24)), by_hours_df['Bedroom AC'].values)\n",
    "plt.title('Bedroom AC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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