diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb
index b43a31e46cacdb3c8ea236d7d0b08738bcbc7a93..7f4c0c58f3a1388aaadda044984d1f948cc106ee 100644
--- a/module3/exo3/exercice.ipynb
+++ b/module3/exo3/exercice.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,417 +44,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "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>1958-03-29</th>\n",
-       "      <th>316.19</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1958-04-05</td>\n",
-       "      <td>317.31</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1958-04-12</td>\n",
-       "      <td>317.69</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1958-04-19</td>\n",
-       "      <td>317.58</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1958-04-26</td>\n",
-       "      <td>316.48</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1958-05-03</td>\n",
-       "      <td>316.95</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1958-05-17</td>\n",
-       "      <td>317.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>1958-05-24</td>\n",
-       "      <td>317.99</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>1958-07-05</td>\n",
-       "      <td>315.85</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>1958-07-12</td>\n",
-       "      <td>315.85</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>1958-07-19</td>\n",
-       "      <td>315.46</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>1958-07-26</td>\n",
-       "      <td>315.59</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>1958-08-02</td>\n",
-       "      <td>315.64</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>1958-08-09</td>\n",
-       "      <td>315.10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>1958-08-16</td>\n",
-       "      <td>315.09</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>1958-08-30</td>\n",
-       "      <td>314.14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>1958-09-06</td>\n",
-       "      <td>313.54</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>1958-11-08</td>\n",
-       "      <td>313.05</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>1958-11-15</td>\n",
-       "      <td>313.26</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>1958-11-22</td>\n",
-       "      <td>313.57</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>1958-11-29</td>\n",
-       "      <td>314.01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>1958-12-06</td>\n",
-       "      <td>314.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>1958-12-13</td>\n",
-       "      <td>314.41</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>1958-12-20</td>\n",
-       "      <td>314.77</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>1958-12-27</td>\n",
-       "      <td>315.21</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>1959-01-03</td>\n",
-       "      <td>315.24</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>1959-01-10</td>\n",
-       "      <td>315.50</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>1959-01-17</td>\n",
-       "      <td>315.69</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>1959-01-24</td>\n",
-       "      <td>315.86</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>1959-01-31</td>\n",
-       "      <td>315.42</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>1959-02-14</td>\n",
-       "      <td>316.94</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3327</th>\n",
-       "      <td>2023-06-10</td>\n",
-       "      <td>424.01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3328</th>\n",
-       "      <td>2023-06-17</td>\n",
-       "      <td>422.93</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3329</th>\n",
-       "      <td>2023-06-24</td>\n",
-       "      <td>422.21</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3330</th>\n",
-       "      <td>2023-07-01</td>\n",
-       "      <td>422.80</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3331</th>\n",
-       "      <td>2023-07-08</td>\n",
-       "      <td>422.32</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3332</th>\n",
-       "      <td>2023-07-15</td>\n",
-       "      <td>421.43</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3333</th>\n",
-       "      <td>2023-07-22</td>\n",
-       "      <td>420.74</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3334</th>\n",
-       "      <td>2023-07-29</td>\n",
-       "      <td>420.88</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3335</th>\n",
-       "      <td>2023-08-05</td>\n",
-       "      <td>420.39</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3336</th>\n",
-       "      <td>2023-08-12</td>\n",
-       "      <td>420.30</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3337</th>\n",
-       "      <td>2023-08-19</td>\n",
-       "      <td>418.96</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3338</th>\n",
-       "      <td>2023-08-26</td>\n",
-       "      <td>418.84</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3339</th>\n",
-       "      <td>2023-09-02</td>\n",
-       "      <td>418.50</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3340</th>\n",
-       "      <td>2023-09-09</td>\n",
-       "      <td>418.28</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3341</th>\n",
-       "      <td>2023-09-16</td>\n",
-       "      <td>418.52</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3342</th>\n",
-       "      <td>2023-09-23</td>\n",
-       "      <td>417.77</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3343</th>\n",
-       "      <td>2023-09-30</td>\n",
-       "      <td>417.89</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3344</th>\n",
-       "      <td>2023-10-07</td>\n",
-       "      <td>418.10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3345</th>\n",
-       "      <td>2023-10-14</td>\n",
-       "      <td>418.82</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3346</th>\n",
-       "      <td>2023-10-21</td>\n",
-       "      <td>418.85</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3347</th>\n",
-       "      <td>2023-10-28</td>\n",
-       "      <td>418.62</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3348</th>\n",
-       "      <td>2023-11-04</td>\n",
-       "      <td>419.07</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3349</th>\n",
-       "      <td>2023-11-11</td>\n",
-       "      <td>419.41</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3350</th>\n",
-       "      <td>2023-11-18</td>\n",
-       "      <td>421.18</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3351</th>\n",
-       "      <td>2023-11-25</td>\n",
-       "      <td>421.22</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3352</th>\n",
-       "      <td>2023-12-02</td>\n",
-       "      <td>420.28</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3353</th>\n",
-       "      <td>2023-12-09</td>\n",
-       "      <td>421.23</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3354</th>\n",
-       "      <td>2023-12-16</td>\n",
-       "      <td>422.57</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3355</th>\n",
-       "      <td>2023-12-23</td>\n",
-       "      <td>422.06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3356</th>\n",
-       "      <td>2023-12-30</td>\n",
-       "      <td>421.76</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>3357 rows × 2 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      1958-03-29   316.19\n",
-       "0     1958-04-05   317.31\n",
-       "1     1958-04-12   317.69\n",
-       "2     1958-04-19   317.58\n",
-       "3     1958-04-26   316.48\n",
-       "4     1958-05-03   316.95\n",
-       "5     1958-05-17   317.56\n",
-       "6     1958-05-24   317.99\n",
-       "7     1958-07-05   315.85\n",
-       "8     1958-07-12   315.85\n",
-       "9     1958-07-19   315.46\n",
-       "10    1958-07-26   315.59\n",
-       "11    1958-08-02   315.64\n",
-       "12    1958-08-09   315.10\n",
-       "13    1958-08-16   315.09\n",
-       "14    1958-08-30   314.14\n",
-       "15    1958-09-06   313.54\n",
-       "16    1958-11-08   313.05\n",
-       "17    1958-11-15   313.26\n",
-       "18    1958-11-22   313.57\n",
-       "19    1958-11-29   314.01\n",
-       "20    1958-12-06   314.56\n",
-       "21    1958-12-13   314.41\n",
-       "22    1958-12-20   314.77\n",
-       "23    1958-12-27   315.21\n",
-       "24    1959-01-03   315.24\n",
-       "25    1959-01-10   315.50\n",
-       "26    1959-01-17   315.69\n",
-       "27    1959-01-24   315.86\n",
-       "28    1959-01-31   315.42\n",
-       "29    1959-02-14   316.94\n",
-       "...          ...      ...\n",
-       "3327  2023-06-10   424.01\n",
-       "3328  2023-06-17   422.93\n",
-       "3329  2023-06-24   422.21\n",
-       "3330  2023-07-01   422.80\n",
-       "3331  2023-07-08   422.32\n",
-       "3332  2023-07-15   421.43\n",
-       "3333  2023-07-22   420.74\n",
-       "3334  2023-07-29   420.88\n",
-       "3335  2023-08-05   420.39\n",
-       "3336  2023-08-12   420.30\n",
-       "3337  2023-08-19   418.96\n",
-       "3338  2023-08-26   418.84\n",
-       "3339  2023-09-02   418.50\n",
-       "3340  2023-09-09   418.28\n",
-       "3341  2023-09-16   418.52\n",
-       "3342  2023-09-23   417.77\n",
-       "3343  2023-09-30   417.89\n",
-       "3344  2023-10-07   418.10\n",
-       "3345  2023-10-14   418.82\n",
-       "3346  2023-10-21   418.85\n",
-       "3347  2023-10-28   418.62\n",
-       "3348  2023-11-04   419.07\n",
-       "3349  2023-11-11   419.41\n",
-       "3350  2023-11-18   421.18\n",
-       "3351  2023-11-25   421.22\n",
-       "3352  2023-12-02   420.28\n",
-       "3353  2023-12-09   421.23\n",
-       "3354  2023-12-16   422.57\n",
-       "3355  2023-12-23   422.06\n",
-       "3356  2023-12-30   421.76\n",
-       "\n",
-       "[3357 rows x 2 columns]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "raw_data = pd.read_csv(data_file, skiprows=44)\n",
     "raw_data"
@@ -462,12 +54,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "unhashable type: 'numpy.ndarray'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-21-86c098ada4f0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Visualizar el conjunto de datos\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m6\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mraw_data\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'CO2 Concentration'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'CO2 Concentration Over Time'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Year'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36mplot\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m   3361\u001b[0m                       mplDeprecation)\n\u001b[1;32m   3362\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3363\u001b[0;31m         \u001b[0mret\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3364\u001b[0m     \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3365\u001b[0m         \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_hold\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwashold\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/__init__.py\u001b[0m in \u001b[0;36minner\u001b[0;34m(ax, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1865\u001b[0m                         \u001b[0;34m\"the Matplotlib list!)\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mlabel_namer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__name__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1866\u001b[0m                         RuntimeWarning, stacklevel=2)\n\u001b[0;32m-> 1867\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1868\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1869\u001b[0m         inner.__doc__ = _add_data_doc(inner.__doc__,\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mplot\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1526\u001b[0m         \u001b[0mkwargs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnormalize_kwargs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_alias_map\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1527\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1528\u001b[0;31m         \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_lines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1529\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_line\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1530\u001b[0m             \u001b[0mlines\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m_grab_next_args\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    404\u001b[0m                 \u001b[0mthis\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    405\u001b[0m                 \u001b[0margs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 406\u001b[0;31m             \u001b[0;32mfor\u001b[0m \u001b[0mseg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_plot_args\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mthis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    407\u001b[0m                 \u001b[0;32myield\u001b[0m \u001b[0mseg\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    408\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m_plot_args\u001b[0;34m(self, tup, kwargs)\u001b[0m\n\u001b[1;32m    381\u001b[0m             \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mindex_of\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    382\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 383\u001b[0;31m         \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_xy_from_xy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    384\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    385\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcommand\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'plot'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36m_xy_from_xy\u001b[0;34m(self, x, y)\u001b[0m\n\u001b[1;32m    214\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxaxis\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myaxis\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    215\u001b[0m             \u001b[0mbx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxaxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate_units\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 216\u001b[0;31m             \u001b[0mby\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myaxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate_units\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    217\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    218\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcommand\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m'plot'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/axis.py\u001b[0m in \u001b[0;36mupdate_units\u001b[0;34m(self, data)\u001b[0m\n\u001b[1;32m   1467\u001b[0m         \u001b[0mneednew\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconverter\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mconverter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1468\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconverter\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconverter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1469\u001b[0;31m         \u001b[0mdefault\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconverter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdefault_units\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1470\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mdefault\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munits\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1471\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_units\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdefault\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/category.py\u001b[0m in \u001b[0;36mdefault_units\u001b[0;34m(data, axis)\u001b[0m\n\u001b[1;32m    113\u001b[0m         \u001b[0;31m# default_units->axis_info->convert\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    114\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munits\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 115\u001b[0;31m             \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_units\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mUnitData\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    116\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    117\u001b[0m             \u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munits\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/category.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data)\u001b[0m\n\u001b[1;32m    180\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_counter\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mitertools\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    181\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 182\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    184\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/matplotlib/category.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, data)\u001b[0m\n\u001b[1;32m    197\u001b[0m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0matleast_1d\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mobject\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    198\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 199\u001b[0;31m         \u001b[0;32mfor\u001b[0m \u001b[0mval\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mOrderedDict\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfromkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    200\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mVALID_TYPES\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    201\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"{val!r} is not a string\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mTypeError\u001b[0m: unhashable type: 'numpy.ndarray'"
+     ]
+    },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1080x432 with 1 Axes>"
       ]
@@ -492,22 +105,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1080x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Visualizar el conjunto de datos\n",
     "plt.figure(figsize=(15, 6))\n",
@@ -522,23 +122,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "            indicated  by  the  date  in  the.1  first  column.  \".1\n",
-      "\"                                                                   \n",
-      "1958-03-29     316.19 NaN  NaN   NaN NaN    NaN    NaN      NaN  NaN\n",
-      "1958-04-05     317.31 NaN  NaN   NaN NaN    NaN    NaN      NaN  NaN\n",
-      "1958-04-12     317.69 NaN  NaN   NaN NaN    NaN    NaN      NaN  NaN\n",
-      "1958-04-19     317.58 NaN  NaN   NaN NaN    NaN    NaN      NaN  NaN\n",
-      "1958-04-26     316.48 NaN  NaN   NaN NaN    NaN    NaN      NaN  NaN\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Cargar datos desde el archivo CSV local\n",
     "file_path = \"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/weekly/weekly_in_situ_co2_mlo.csv\"  # Reemplaza con la ruta correcta a tu archivo\n",
@@ -550,7 +136,7 @@
     "if not os.path.exists(data_file):\n",
     "    urllib.request.urlretrieve(file_path, data_file_co2)\n",
     "\n",
-    "data_co2 = pd.read_csv(file_path, skiprows=43, sep=r'\\s+', engine='python', parse_dates=[0], index_col=[0])\n",
+    "data_co2 = pd.read_csv(file_path, skiprows=44, sep=r'\\s+', engine='python', parse_dates=[0], index_col=[0])\n",
     "\n",
     "# Verificar los primeros registros de datos\n",
     "print(data_co2.head())"
@@ -558,31 +144,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "data_subset = data_co2.dropna()"
+    "data_co2_subset = data_co2.dropna()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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r5s2bx+zZsxulFxQUWC3HFjc3N8t1XFwcKSkpBAUFkZiYSFpams33rtcWqG+Po6Mj165dazGvEEIIIYQQ17Pt8DlmJx1gWYyB6UN73e7qtAkZ+WtlY8eOpaqqijVr1ljS9u3bx65du4iNjSU9Pd2ym2VFRQXPPfccL730EgCnTp0iJiaGpKQky4hXU/7+/oSGhrJw4UJLgJSbm8vmzZsZPXo0KSkplJeXU1ZWxqZNm4iIiLBZV09PT3r06MGHH34IQFVVFeXl5UyYMIG3336b0tJSAAoLCzl//nyL7fbw8KCkpMTm85KSErp37051dTXJycnXfa9///4UFBSQl5cHQFJSEmPGjGmxDkIIIYQQQnwbZy6VMzvpAAA7j7b8e++dTIK/VqaUYtOmTWzbts1yFMMrr7yCj48PLi4ubN68mSVLltCvXz8MBgNhYWE888wzgGmny+LiYp566imMRmOj9XMNrV27lqKiIvr06YPBYCAhIQEfHx9CQkKIi4tj6NChhIeHEx8fT3BwcIv1TUpK4s0337QcL1FUVERUVBQzZsxg+PDhGAwGpk6d2mJgB6aRvTlz5lg2fGlq8eLFhIeHM378ePr3729Jnz59OitWrCA4ONiy2QyYpqCuX7+eRx99FIPBgIODQ6NNdIQQQgghhGgtX5y+bLkurbLfWWXqTp7TGhoaqvfv398o7fDhwwwYMOA21ejOVFJSYpl2ak/u1u+FtLQ0IiMjb3c1RCuQvrQv0p/2RfrTfkhf2pdv25+vbMkmcU8BAMaenUh5emTrVqwNKaUOaK2tjxo1ISN/QgghhBBCiLvaocJvLNdfnL7MiQtljZ6fLC7jSmX1ra5Wq5PgTwghhBBCCHFXK79aQ2e39pb7P5tHAeuMWZHG5D+k3+JatT4J/oQQQgghhBB3tfMlVYwf2JVnftAHaLzzfG2t6frUxfLbUrfWJMGfEEIIIYQQwi5V19ReN8+1mlqKy6q419OZn48PwNutPVcq6zd9KWlwXXG1pk3qeatI8CeEEEIIIYSwO6nZRfT91VamrP53i/k2f3EWreFejw44OCj8urhR9E2l5fmGvacAiBrYFaXatMptrs2DP6WUo1Lqc6XUh+b7FUqpI0qpLKXUJqVUpwZ55yml8pRSR5VSE9q6bkIIIYQQQgj79MkR03l9n5+6TNU16yN2F8uu8j/vZwLg08kZgMvlV/nseDFl5iMfln98BIDpQ3vi7OTY1tVuU7di5O954HCD+23AIK31YOAYMA9AKTUQmA4EAg8Aq5VSd+RXt6ioiOnTp+Pv78/AgQOZOHEix44dAyA7O5uxY8cSEBBA3759Wbx4sWVOcXJyMoMHD7acuZeZmWm1/NLSUmbPnm05R3D06NFkZGTcsvZZk5iYyNmzZ2/6vZSUFHJyciz3CxYsYPv27a1ZNSGEEEIIcZcp+qaSd/edttxnn71iNV/I4m2W6/s6uQLg18UNgAMnLzXK287hzp802aYtUEr1ACYBa+vStNapWuu6ibP/AXqYrx8G3tVaV2mtTwB5wNC2rF9b0FozZcoUIiMjyc/PJycnh6VLl3Lu3DkqKiqIjo5m7ty5HDt2jMzMTPbs2cPq1asB8PPzY9euXWRlZfHyyy8za9Ysq58RHx+Pt7c3ubm5ZGdnk5iYyIULF25lM5tpKfirqbE9N7pp8Ldo0SLGjRvX6vUTQgghhBB3j925Xze6P1BwyUbOevd5uQCw8tEgoH7ksE63js6tVLvbp00PeVdKbQR+A3gA/6u1ntzk+T+Av2mt/6qUWgX8R2v9V/OzdcBWrfXGJu/MAmYBdO3adci7777b6DM7duxInz592qpJ17Vr1y5+85vf8PHHHzd79pe//IX09HTeeustS9rx48eZNGkShw8fbpT30qVLDBs2jKNHjzZKP378OA8//DBffPEFjo7NB0ZXrVpFUlISAI8//jhPP/00J0+e5JFHHmH48OFkZGTQvXt33n33XVxcXMjPz+eFF16guLgYR0dH/vznP9O7d29+//vf8/e//52rV68yefJkfvWrX9ks51//+hc/+9nP6N69Oy4uLmzfvp2wsDBmzpzJJ598wqxZsygtLWX9+vVUV1fTu3dv3nrrLb788kseffRROnbsiKenJ0lJSfz2t7/lgQce4Ec/+hFpaWnMnz+fa9euERISwu9+9zs6dOjAoEGD+PGPf8zHH39MdXU1f/nLXwgICGj2tcjLy+Obb75plm7vSktLcXd3v93VEK1A+tK+SH/aF+lP+yF9eeeortXsOXuNYd3a0aGd9cV3paWlqA5uPL2jfmfObm6Krq4O/PeQxsFbrdY8+a/6fIkPuFmu5+4up5enA08ZnYlPLSOws2Oz978vfvCDH9zwIe/t2qoSSqnJwHmt9QGlVKSV578CrgHJdUlWimkWmWqt3wLeAggNDdWRkY2LPnz4MB4eHqabrXOh6Mtv3QaruhngwWU2Hx8/fpyhQ4fW16GB/Px8hg0b1uhZUFAQZWVlaK3x9PS0pP/pT39i4sSJzco5efIkwcHBdOrUiaYOHDjAhg0b2LdvH1prwsPDmTBhAl5eXuTn5/O3v/0No9HItGnTSE1NZebMmcyePZvnn3+eGTNmUFlZSW1tLenp6Zw6dYoDBw6gtSY6OprPP/+cXr16WS3nJz/5CevWrWPlypWEhpq+75RSdOzYkc8++wyA4uJinn32WQDmz5/Pe++9x7PPPsvDDz/M5MmTmTp1KgBOTk64uLjg5OTEU089xY4dOwgICODxxx/nr3/9Ky+88AJKKe677z6++OILVq9ezRtvvMHatWubfT2cnZ0JDg622Vf2Ki0tjaY/F+LOJH1pX6Q/7Yv0p/2Qvrxz/L/Uo6w/lMf6Q1f54GcjGHK/V7M8aWlpxH1cf0B773vc6N3FncLLFURGRjTKO/eDLKCchAg//ieqX6P1fF2z/42zixOjIkK59vFWfhDUm8jI5oMNd5q2nPY5EohWShUA7wJjlVJ1o3pPAJOBWF0/9HgG6Nng/R7AzS8i+x7TWqNsbBHUMH3nzp2sW7eO5cuX31T56enpTJkyBTc3N9zd3YmJieHTTz8FTFNKjUYjAEOGDKGgoICSkhIKCwt56KGHAFOw5OrqSmpqKqmpqQQHBxMSEsKRI0fIzc21WY4tjz32mOX60KFDREREYDAYSE5OJjs7u8W2HD16FD8/P8uI3hNPPMHu3bstz2NiYm6oDkIIIYQQwj783yd5lus9edaXPG04XNXoPvWF0XRxb8+F0sbpX575xrImcEb4/c02cvF0bkdxaRWbPi8E4P7Ort+5/t8HbTbyp7WeR/1mLpGYpn3OVEo9APwCGKO1bnhS4hZgg1LqNcAH6Avs/U6VaGGErq0EBgayceNGm88aBjBgGil0d3e3jPBlZWURHx/P1q1b6dy5s9UyMjMzqa2txaHJotOWpvB26NDBcu3o6EhFRYXN/Fpr5s2bx+zZsxulFxQUWC3HFje3+qHzuLg4UlJSCAoKIjExkbS0NJvvXa8tUN8eR0dHrl271mJeIYQQQghxZ6upbfy74dkGRzE0lHqy/vfCaaE9aOfowH2dXPi6pIqSymo8nJ2A+gPbf/FAf8sGLw0F9ejEqp15vLgxCwBjz+ajjHei27FlzSpMawC3KaW+UEq9CaC1zgbeA3KAj4GntdZ33CmKY8eOpaqqijVr1ljS9u3bx65du4iNjSU9Pd2ym2VFRQXPPfccL730EgCnTp0iJiaGpKQkq2vYAPz9/QkNDWXhwoWWACk3N5fNmzczevRoUlJSKC8vp6ysjE2bNhEREWG1HABPT0969OjBhx9+CEBVVRXl5eVMmDCBt99+m9LSUgAKCws5f/68zXIAPDw8KCkpsfm8pKSE7t27U11dTXJy8nXf69+/PwUFBeTlmf7Ck5SUxJgxY1qsgxBCCCGEsE8lldWN7k9cKLWaz8OpYR7T9M9B93UEIKfBjp+Fl03B37TQHljzo2CfRve+djLyd0uCP611Wt1mL1rrPlrrnlpro/nfnAb5XtVa+2ut+2mtt96KurU2pRSbNm1i27ZtlqMYXnnlFXx8fHBxcWHz5s0sWbKEfv36YTAYCAsL45lnngFMO10WFxfz1FNPYTQaLevnmlq7di1FRUX06dMHg8FAQkICPj4+hISEEBcXx9ChQwkPDyc+Pv66a96SkpJ48803LcdLFBUVERUVxYwZMxg+fDgGg4GpU6e2GNiBaWRvzpw5GI1Gq6OBixcvJjw8nPHjx9O/f39L+vTp01mxYgXBwcHk5+db0p2dnVm/fj2PPvooBoMBBwcH5syZ06xcIYQQQghh/5595/NG98fOlTYbDbxQWkVJNYwOuAeArp6mDVrqgr8vC00bAWqt+fvBQvp388Dbrb3Vz/O/p34ToDdiQ2wu3brTtOlun20tNDRU79+/v1Ha4cOHGTBgwG2q0Z2ppKTE6gY1d7q79XtBFq7bD+lL+yL9aV+kP+2H9OXtVVOrWZd+nMfCetHRxclmHv9f/tNyHzfCl8Q9BWx6agTBveqnYyZnnORXmw6xPi6MS+VX+WH/rnR0NZU54jc7GNyjE2/+ZAjHvy5l7P/bxeKHA/nJcF+bdUv6z0k2ZJxi01MjvteHuyulbv9un0IIIYQQQgjRkhlr/kPGiYt8WXiF//ux9Rlr+wouWq7fnDmEPve6kbingBMXyhoFf7/adAiAPve609O78TTNYb07k27eJOZIkWlG2/XW8f1k2P38ZNj9N9+o77E7/5h6IYQQQgghxB1Ha03GCVNgd+ZSuc1809/6j+W6e0dnenm74encjn/nFVvN3zTwA9ORD+dLqii/eo0jRSU4KOjb9e4731GCPyGEEEIIIcQt98au+v0ePj91meqa2mZ5Kqsb7//o0t6R9u0c8L/XnXNX6nf8rLpmyjelj/Wpo706m3b0PFlcztGiK/h2cfteT+VsKxL8CSGEEEIIIW65T481Pqtvf8GlZnmuVNTv8vnc2D4EdDXtU9HZrQPFZVctz859YzrHz9vZ+sYsA7t7AvDKlmw+yy/G2LPTd6v8HUqCPyGEEEIIIcQtd8V8fMMDgd0AOHiqefB3qdyU58UJ/fh5VD9Lehf39hQ3OLj94+yvALjf03p40+ded5wcFRknLnKl8hqj+nRpnUbcYST4E0IIIYQQQrSab8qruXqt+RTOhrTWnLhQRi9vV16fbqSTqxNffdP4uLDaWs2TifsAGGM+vqFOZ/f2XCy7Sq35uIfP8ovp19WDXp62p3IunWKwXA/uISN/opUUFRUxffp0/P39GThwIBMnTuTYsWMAZGdnM3bsWAICAujbty+LFy+2HNaenJzM4MGDLWfuZWZmWi2/tLSU2bNnW84RHD16NBkZGbesfdYkJiZy9uzZm34vJSWFnJwcy/2CBQvYvn17a1ZNCCGEEELcIiWV1QQtSuXVj3Js5im8XEFyxinKr9Ywc1gvnJ0c8eviRnaDQ9gBThSXUXjZFBDWTfes09mtA9dqNYWXK9Bak/d1qdWNXhqqO+8PoHcXt5ttml2Q4K+Vaa2ZMmUKkZGR5Ofnk5OTw9KlSzl37hwVFRVER0czd+5cjh07RmZmJnv27GH16tUA+Pn5sWvXLrKysnj55ZeZNWuW1c+Ij4/H29ub3NxcsrOzSUxM5MKFC1bz3iotBX81NTVW06F58Ldo0SLGjRvX6vUTQgghhBBtL8ccwP35s5NWN3ABmP7WZ8xPMR3L0MW9AwAhvbw4/NUVGp5Bvte8E+jw3p1p365x2BLU0xTIvfrRYU4Wl3P6YgVD/Vo+uqH3PaaAb3pYTxwc7OPQ9pslwV8r27lzJ05OTsyZM8eSZjQaiYiIYMOGDYwcOZKoqCgAXF1dWbVqFcuWLQNgxIgReHmZvmmHDRvGmTNnmpWfn59PRkYGS5YswcHB1H29e/dm0qRJALz22msMGjSIQYMG8frrrwNQUFDAgAEDSEhIIDAwkKioKCoqTH9FycvLIzo6mqCgIEJCQsjPN+26tGLFCsLCwhg8eDALFy5ssZyNGzeyf/9+YmNjMRqNVFRU4Ovry6JFixg1ahTvv/8+a9asISwsjKCgIB555BHKy8vZs2cPW7Zs4cUXX8RoNJKfn09UCOkyAAAgAElEQVRcXBwbN24EYMeOHQQHB2MwGHjyySepqjLN6/b19WXhwoWEhIRgMBg4cuRIK/agEEIIIYT4tnYcOW+53nqoyGqe0xfrp3fWjcb19HKhsrqWC6WmTVwOFX7DvL9/CcDq2JBmZQy53xtnJwfOXC7nvf2nLWkt6dDOkYJlk1j2yOCbaJF9setD3pfvXc6Ri60bGPT37s8vhv7C5vNDhw4xZMgQq8+ys7ObPfP396e0tJQrV67g6elpSV+3bh0PPvig1TKMRiOOjs3nMx84cID169eTkZGB1prw8HDGjBmDl5cXubm5vPPOO6xZs4Zp06bxwQcfMHPmTGJjY3n++eeZMWMGlZWV1NbWkpqaSm5uLnv37kVrTXR0NLt376ZXr142y1m1ahUrV64kNDTUUh9nZ2fS09MBKC4uJiEhAYD58+ezbt06nn32WaKjo5k8eTJTp05t1JbKykri4uLYsWMHAQEBPP7447zxxhu88MILAHTp0oWDBw+yevVqVq5cydq1a232iRBCCCGEuDX+c7yY9o4OXK2p5ezliuvm73uv6ay9uimbpy+Vc49HB/LOl1ryeLm1t/rumIB7OFpUwuo00+CF/z1ufHHiu7bAvsnI3y2ktUYp60PMDdN37tzJunXrWL58+U2Vn56ezpQpU3Bzc8Pd3Z2YmBg+/fRTwDSl1Gg0AjBkyBAKCgooKSmhsLCQhx56CDAFa66urqSmppKamkpwcDAhISEcOXKE3Nxcm+XY8thjj1muDx06REREBAaDgeTkZLKzs1tsy9GjR/Hz8yMgIACAJ554gt27d1uex8TE3FAdhBBCCCHErVNwoYxpYT0Y0N2Tf2U3H/k7/nV9ULflmZGW34F732MKArNOXwbAxq/Mjbi1b0dBcf3h8J1crQeJop5dj/y1NELXVgIDAy3TFq09axjAABw/fhx3d3c8PEyLWLOysoiPj2fr1q107tzZahmZmZnU1tZapn3WaThHuqkOHTpYrh0dHamoqLCZX2vNvHnzmD17dqP0goICq+XY4uZWv5A2Li6OlJQUgoKCSExMJC0tzeZ712sL1LfH0dGRa9eutZhXCCGEEEK0vTOXyrlSeY2eXq64tm9H4r8LqKnVODZYX5e4pwCANY+HNtpx06+LGz4dnfnCHPzV1Lb8uyBASVX974Bp/xvZOo2wczLy18rGjh1LVVUVa9assaTt27ePXbt2ERsbS3p6umU3y4qKCp577jleeuklAE6dOkVMTAxJSUmWEa+m/P39CQ0NZeHChZYAKTc3l82bNzN69GhSUlIoLy+nrKyMTZs2ERERYbOunp6e9OjRgw8//BCAqqoqysvLmTBhAm+//Talpaa/zBQWFnL+/Hmb5QB4eHhQUlJi83lJSQndu3enurqa5OTk677Xv39/CgoKyMvLAyApKYkxY8a0WAchhBBCCHH7jFq+EzBN4exzjztXa2o5fbG8UZ7ss1cY6uvN+IFdm73fr5sH6XnF1NZqcs3TPt+dNczm55WZg7+Jhm743qW7d94sCf5amVKKTZs2sW3bNstRDK+88go+Pj64uLiwefNmlixZQr9+/TAYDISFhfHMM88App0ui4uLeeqppzAajY3WzzW0du1aioqK6NOnDwaDgYSEBHx8fAgJCSEuLo6hQ4cSHh5OfHw8wcHBLdY3KSmJN99803K8RFFREVFRUcyYMYPhw4djMBiYOnVqi4EdmEb25syZY9nwpanFixcTHh7O+PHj6d+/vyV9+vTprFixguDgYMtmM2Cagrp+/XoeffRRDAYDDg4OjTbREUIIIYQQ3w+bPj/Ds+98brnvfY8b/ua1fA3X7mmtyT1XQt+u7lbLGT+wGxdKqzh9qZx9Jy4S0qsTw3o3nwlXZ8mPBvHgoG4sv4s3cLlZ6nrT677PQkND9f79+xulHT58mAEDBtymGt2ZSkpKLNNO7cnd+r2QlpZGZGTk7a6GaAXSl/ZF+tO+SH/aD+nL66u4WsP7B07z46G9cHJsPnbkO/ejRve5rz5IeVUNQYtS+dXEASSM7g3A+ZJKhr66g4UPDeS/Rvo1K+fzU5eYsnoPf5wRws/f+4KZw+7n5ckDb6qud2N/KqUOaK2tjxo1Yddr/oQQQgghhBDfXm2tZsCCjwHTDLefDLv/uu84OTrQ0dWBji5OnGow7TPvnGkUsM+91kf++nXzoH07B9amH6fqWi3BvTpZzSe+PZn2KYQQQgghhLBqvXmDFoClHx2+qXc7ujhxpbLacp9V+A0AgT4dreZ3bd+OBwK78fkp06Yvwb1aPrRd3DwJ/oQQQgghhBBWZZ25bLmuqK5pFMxdj4dzO0oq63fkPFT4Dfd1csHbxrl9AD8d5Uf7dg5EDeyKT0fnb1dpYZNM+xRCCCGEEOIuU1Z1DWcnx0bHMFjj3M6x0f3Bk5eI7Hev5b7h/iELJg/k69Iqy3322Stkn73C6Yvl9PR2JfvsFQJ9PFv8vKCendj3y3G4O7ezeT62+PZk5E8IIYQQQoi7SM7ZKwQu/Be//kf2dfPWNtkc8uzlykb3WWe+sVw/OcqPXzxQv6v7f430BSDt6Hm2ZJ7lxIUy7vXswPV0dHW6blAqvh0J/oQQQgghhLiLTPzDpwD85bOTXL1WazNfyueFvH/gjOW+vaMDBcVljfL83ye5Nt9fMHkg93h04OCpy2z54iwA00J7fpeqi+9Igr82UFRUxPTp0/H392fgwIFMnDiRY8eOAZCdnc3YsWMJCAigb9++LF682DJcnpyczODBgy1n7mVmZlotv7S0lNmzZ1vOERw9ejQZGRm3rH3WJCYmcvbs2Zt+LyUlhZycHMv9ggUL2L59e2tWTQghhBBCmF2raRzsfVl42UZOeOFvX1iut/98DL06u1JwoT74+6a8mu2HzwOmM/eaUkoR0qsTB09dwtEB+nX1YHAP2cHzdpLgr5VprZkyZQqRkZHk5+eTk5PD0qVLOXfuHBUVFURHRzN37lyOHTtGZmYme/bsYfXq1QD4+fmxa9cusrKyePnll5k1a5bVz4iPj8fb25vc3Fyys7NJTEzkwoULt7KZzbQU/NXU1Nh8r2nwt2jRIsaNG9fq9RNCCCGEEHCx7Gqj+69LqqzmO3u5wnKdHB9On3vd8e3s1mjkb8zKnZbrqUN6WC0nuJcXJ4vLSTv6NV5uTt+l6qIVSPDXynbu3ImTkxNz5syxpBmNRiIiItiwYQMjR44kKioKAFdXV1atWsWyZcsAGDFiBF5epi1thw0bxpkzZ5qVn5+fT0ZGBkuWLMHBwdR9vXv3ZtKkSQC89tprDBo0iEGDBvH6668DUFBQwIABA0hISCAwMJCoqCgqKkw/0Hl5eURHRxMUFERISAj5+fkArFixgrCwMAYPHszChQtbLGfjxo3s37+f2NhYjEYjFRUV+Pr6smjRIkaNGsX777/PmjVrCAsLIygoiEceeYTy8nL27NnDli1bePHFFzEajeTn5xMXF8fGjRsB2LFjB8HBwRgMBp588kmqqkz/4+Tr68vChQsJCQnBYDBw5MiRVuxBIYQQQog7yx925PLBgea/N1rzzDufA/DEcNN5fSculFvNN2LZJ5brIfebfj/17ezKyeJyamtNs9Yul5t2/vzt1ME4Ozk2LwQIMR/XUHWtlh5erjdUR9F27Hq3z6KlS6k63LqBQYcB/en2y1/afH7o0CGGDBli9Vl2dnazZ/7+/pSWlnLlyhU8Pet3P1q3bh0PPvig1TKMRiOOjs1/wA4cOMD69evJyMhAa014eDhjxozBy8uL3Nxc3nnnHdasWcO0adP44IMPmDlzJrGxsTz//PPMmDGDyspKamtrSU1NJTc3l71796K1Jjo6mt27d9OrVy+b5axatYqVK1cSGhpqqY+zszPp6ekAFBcXk5CQAMD8+fNZt24dzz77LNHR0UyePJmpU6c2aktlZSVxcXHs2LGDgIAAHn/8cd544w1eeOEFALp06cLBgwdZvXo1K1euZO3atTb7RAghhBDCnr22zbS8KCqwKx7OtkfX8s6XsPfERQDC/LzZefRrDhV+0yzfwVOXLNefzRtrCez6dnWn6lotpy6W49vFzZJn3ICuNj8zpMFB7XPG+N9gi0RbkZG/W0hrbXPL2obpO3fuZN26dSxfvvymyk9PT2fKlCm4ubnh7u5OTEwMn35qWtDr5+eH0WgEYMiQIRQUFFBSUkJhYSEPPfQQYArWXF1dSU1NJTU1leDgYEJCQjhy5Ai5ubk2y7Hlscces1wfOnSIiIgIDAYDycnJZGe3vLvU0aNH8fPzIyAgAIAnnniC3bt3W57HxMTcUB2EEEIIIe4WhldSyTxtew3fuNfqf5eqqdX08nbl6LmSZvne2nXcct29o4vlun8300DFMfM7Pb1dmBJ8X4vn9rVzdOAx8yYvPb1dbOYTt4Zdj/y1NELXVgIDAy3TFq09axjAABw/fhx3d3c8PDwAyMrKIj4+nq1bt9K5c2erZWRmZlJbW2uZ9llHN9mKt6EOHeq31XV0dKSiosJmfq018+bNY/bs2Y3SCwoKrJZji5tb/V+E4uLiSElJISgoiMTERNLS0my+d722QH17HB0duXbtWot5hRBCCCHuFntPXCSo5/U3VanVmlBfL17fnms5h6/OV1dMxzl0cW98LINPJ1Pwlnu+lKhA07TPji7XX8e3NMbA3Af706Gd9amh4taRkb9WNnbsWKqqqlizZo0lbd++fezatYvY2FjS09Mtu1lWVFTw3HPP8dJLLwFw6tQpYmJiSEpKsox4NeXv709oaCgLFy60BEi5ubls3ryZ0aNHk5KSQnl5OWVlZWzatImIiAibdfX09KRHjx58+OGHAFRVVVFeXs6ECRN4++23KS0tBaCwsJDz58+32G4PDw9KSpr/5ahOSUkJ3bt3p7q6muTk5Ou+179/fwoKCsjLywMgKSmJMWPGtFgHIYQQQoi7kWv7+qBqw95TN/ROL29XRgfcA8Dhr65Y0s9eriDz9GUeNvqQ9mJko3c6u7Wnz73upHxeSGV1DSWV17jH4/rn9jk6KLxaGB0Ut44Ef61MKcWmTZvYtm2b5SiGV155BR8fH1xcXNi8eTNLliyhX79+GAwGwsLCeOaZZwDTTpfFxcU89dRTGI3GRuvnGlq7di1FRUX06dMHg8FAQkICPj4+hISEEBcXx9ChQwkPDyc+Pp7g4OAW65uUlMSbb75pOV6iqKiIqKgoZsyYwfDhwzEYDEydOrXFwA5MI3tz5syxbPjS1OLFiwkPD2f8+PH0719/+Of06dNZsWIFwcHBls1mwDQFdf369Tz66KMYDAYcHBwabaIjhBBCCCFMrl6r5ekf+NPFvT1nLlnfwKWhTq5ODLnfm/7dPFAKvmyw7q9uo5cHB3XDvUPjSYIODoqYkPvIPV9Kjjlg7Obp3IotEW1NXW963fdZaGio3r9/f6O0w4cPM2DAgNtUoztTSUmJZdqpPblbvxfS0tKIjIy83dUQrUD60r5If9oX6U/7caf3ZdW1GvrN/5gXxvXFxcmR32w9wpevRDXb+GXe37N4Z+9pANY+Hsq4gaZNWn70x3/j5Kh4f84ItNb4zfsnYDrXr8+97s0+b8fhc/z0z/sJ9/Mm48RFPn3pB42mjN5ud3p/fhtKqQNaa+ujRk3IyJ8QQgghhBB3qPX/LgDgn19+xX1epjV5hZcbz8K6XH7VEvhNCb7PEvgBDOjuSd5501KfK5X1+yj43+OGNQFdTQMGGScuYriv4/cq8BPXJ8GfEEIIIYQQd6jK6hoAfDu7WTZkKbzUOPj73LwD6JD7vfj1w4GNnvnf48al8moull21HPj+++lGmzvU39epfsfOAd3tb+aYvZPgTwghhBBCiDvQ6YvlVJiDv9/EGOjRyfrI35mLpnWAq2ND8GwyHdTfPLUz/+tSLpSagr+mu3w25OCg+N1jQXi7tSchonfrNETcMnZ91IMQQgghhBD2KuK3OwHo0M4Bb7f2aA1Ojoqzlysb5fvPiYu0b+fAPVaCuj73mIK/Y+dKLMc2tBT8AUwJ7sGU4B6t0QRxi8nInxBCCCGEEN8zldU1JP3nJNU1tdfN6+zkiFIKBwdFR5f2fFNRbXm2LeccH2V9RY9OLjg4NJ/K2cPLBU/ndhwq/IajRabd3W/k+AZxZ5KRPyGEEEIIIb5HjhaVMOH13QC4d3C87iibW4Nz/jxd2nGlsj74e3rDQQCeHOVn9V2lFIN7dGLviYucu1JFUM9OeMuZfHZLRv7aQFFREdOnT8ff35+BAwcyceJEjh07BkB2djZjx44lICCAvn37snjxYsth7cnJyQwePNhy5l5mZqbV8ktLS5k9e7blHMHRo0eTkZFxy9pnTWJiImfPnr3p91JSUsjJybHcL1iwgO3bt7dm1YQQQggh7igfHyqyXG/LOXfd/H/4cf25zse/LuOjrK84bV7nZ+zZCYAZQ3vZfN+vixv5X5dRWnWNpyP9v221xR1Agr9WprVmypQpREZGkp+fT05ODkuXLuXcuXNUVFQQHR3N3LlzOXbsGJmZmezZs4fVq1cD4Ofnx65du8jKyuLll19m1qxZVj8jPj4eb29vcnNzyc7OJjExkQsXLtzKZjbTUvBXU1Nj872mwd+iRYsYN25cq9dPCCGEEOJOUVNbP9Xz4MnLVvOUNBjdC/X1tlz/yOgDwBenL6O1Zu+Ji0we3N3qlM86nd3rR/oMPTp+63qL7z8J/lrZzp07cXJyYs6cOZY0o9FIREQEGzZsYOTIkURFRQHg6urKqlWrWLZsGQAjRozAy8sLgGHDhnHmzJlm5efn55ORkcGSJUtwcDB1X+/evZk0aRIAr732GoMGDWLQoEG8/vrrABQUFDBgwAASEhIIDAwkKiqKigrTLlB5eXlER0cTFBRESEgI+fn5AKxYsYKwsDAGDx7MwoULWyxn48aN7N+/n9jYWIxGIxUVFfj6+rJo0SJGjRrF+++/z5o1awgLCyMoKIhHHnmE8vJy9uzZw5YtW3jxxRcxGo3k5+cTFxfHxo0bAdixYwfBwcEYDAaefPJJqqpMO1D5+vqycOFCQkJCMBgMHDlypBV7UAghhBDi9qpbszfR0I1zJZVcvdZ83d8fduRafXfJFAMAZy9X8GXhNwB4OLe80mtaaE/LdTdP529VZ3FnsOs1f5++d4wLp0tbtcwuPd2JmBZg8/mhQ4cYMmSI1WfZ2dnNnvn7+1NaWsqVK1fw9PS0pK9bt44HH3zQahlGoxFHR8dmzw4cOMD69evJyMhAa014eDhjxozBy8uL3Nxc3nnnHdasWcO0adP44IMPmDlzJrGxsTz//PPMmDGDyspKamtrSU1NJTc3l71796K1Jjo6mt27d9OrVy+b5axatYqVK1cSGhpqqY+zszPp6ekAFBcXk5CQAMD8+fNZt24dzz77LNHR0UyePJmpU6c2aktlZSVxcXHs2LGDgIAAHn/8cd544w1eeOEFUz906cLBgwdZvXo1K1euZO3atTb7RAghhBDi++DMpXIqq2voc2/L5+N9ceYbQnp1YkJgN/75ZRGf5n7NDwfUH8x++mI5Ow6fB+DX0Y3P7XNr74iTo+JSebXlvL8ftzDlE8CnkwtKmc4KtHW+n7APMvJ3C2mtbf5ANUzfuXMn69atY/ny5TdVfnp6OlOmTMHNzQ13d3diYmL49NNPAdOUUqPRCMCQIUMoKCigpKSEwsJCHnroIcAUrLm6upKamkpqairBwcGEhIRw5MgRcnNzbZZjy2OPPWa5PnToEBERERgMBpKTk8nOzm6xLUePHsXPz4+AAFOg/cQTT7B7927L85iYmBuqgxBCCCHE98Wo5TsZ99puCi6UtZgv8/RlfDu78cCgbnRydSI541Sj5/NTDnH8Qhkd2jnwxAjfRs+UUnRybc+lsqucvmRa99fDy/W6dctcGMWWZ0beXIPEHceuR/5aGqFrK4GBgZZpi9aeNQxgAI4fP467uzseHqa/AGVlZREfH8/WrVvp3Lmz1TIyMzOpra21TPusU7dxjDUdOtRv2evo6EhFRYXN/Fpr5s2bx+zZsxulFxQUWC3HFjc3N8t1XFwcKSkpBAUFkZiYSFpams33rtcWqG+Po6Mj165dazGvEEIIIcTttr/gouX6SNEVfLu4Wc33l88KAMg9X0qHdo78sH9X0vO+bpTnrPkQ99ljrG/O0tPLhbyvSymtusZ9nVxuaPfOpoe/C/skI3+tbOzYsVRVVbFmzRpL2r59+9i1axexsbGkp6dbdrOsqKjgueee46WXXgLg1KlTxMTEkJSUZBnxasrf35/Q0FAWLlxoCZByc3PZvHkzo0ePJiUlhfLycsrKyti0aRMRERE26+rp6UmPHj348MMPAaiqqqK8vJwJEybw9ttvU1pqmjJbWFjI+fPnW2y3h4cHJSUlNp+XlJTQvXt3qqurSU5Ovu57/fv3p6CggLy8PACSkpIYM2ZMi3UQQgghhPg+ulx+lalvfma533XM9kZ9H2Z9BdSv+/Pt7Mq5K1WWgA9Mh7AH9ezEz8db/30x1NebAycv8dGXXxHcq1NrNEHYiTYP/pRSjkqpz5VSH5rvvZVS25RSueb/ejXIO08plaeUOqqUmtDWdWsLSik2bdrEtm3bLEcxvPLKK/j4+ODi4sLmzZtZsmQJ/fr1w2AwEBYWxjPPPAOYdrosLi7mqaeewmg0Nlo/19DatWspKiqiT58+GAwGEhIS8PHxISQkhLi4OIYOHUp4eDjx8fEEBwdbLaNOUlISb775puV4iaKiIqKiopgxYwbDhw/HYDAwderUFgM7MI3szZkzx7LhS1OLFy8mPDyc8ePH079/f0v69OnTWbFiBcHBwZbNZsA0BXX9+vU8+uijGAwGHBwcGm2iI4QQQghxp/jP8WLAtBPnyD6d+TT3a5t5r5iDvrpNXup26Xzunc8teS6VX8Xb1fZI3YODulmug3t52cwn7j7qetPrvvMHKPVzIBTw1FpPVkr9FriotV6mlJoLeGmtf6GUGgi8AwwFfIDtQIDW2uY5AaGhoXr//v2N0g4fPsyAAQPaqjl2qaSkxDLt1J7crd8LaWlpREZG3u5qiFYgfWlfpD/ti/Sn/bgVfek79yMAPnx2FB8fKuKNXfkcXfwA7Rybj8NErthJQXE5//fjYB4K8uF8SSVDX93BkyP9WPDQQF5LPcofPskjNrwXr5p39rRmwu92c/RcCR8+O4pB9909xzfcjT+bSqkDWmvro0ZNtOnIn1KqBzAJaLgV48PAn83XfwZ+1CD9Xa11ldb6BJCHKRAUQgghhBDie+fs5Qp8535E2tGWl8fUudejA/d5uVBTqym6UtnoWdW1Gp7ecJCC4nJ+FunPQ0E+5necaeegcHYy/dr+5u7jAIxrsPunNR89N4qPX4i4qwI/cX1tPe3zdeAloOHhJF211l8BmP97rzn9PuB0g3xnzGlCCCGEEEJ872ww78KZ8nnhDeX3dmtPDy8XAMsxDHWSPjvJR+b1ftPDejZ61qGdA1XmaaCTDd0B+EH/e2lJO0cH+nfzbDGPuPu02W6fSqnJwHmt9QGlVOSNvGIlrdmcVKXULGAWQNeuXZvtGtmxY8frrk8TjdXU1Njl16yysvK6u4rao9LS0ruy3fZI+tK+SH/aF+lP+/Fd+nLjXtNRChe+Pn9DZaR/upuiMlMQt/2zg1Scql+3l/ZlFQAvD3PmxJf7ONHgPQdqOHHyNGlp58k/U8n9ng7y/WeD/Gy2rC2PehgJRCulJgLOgKdS6q/AOaVUd631V0qp7kDdOPkZoOGfOXoAZ5sWqrV+C3gLTGv+ms7pPXz4sF2uX2tL9rrmz9nZ+bob3tiju3Guu72SvrQv0p/2RfrTfnzbviyrusa5f/0LgOr2nkRGDreaT2uNw7/+yVORfYiM7EdldQ1zP/0Y966+REb2BUxTPuM+/hiAn/7oh83KKPn4Iz45fY3XfzqWqi8+o4+PC5GRYTdd57uB/Gy2rM2mfWqt52mte2itfYHpwCda65nAFuAJc7YngM3m6y3AdKVUB6WUH9AX2NtW9RNCCCGEEOLb2n/yElqDp3M7Mk5cZNcx6zt4ll+toVaDu7NpzMXZyZF7PTpQeLnckudYkel4rUnmKZ22JP67gCNFJfS+x/oZgUJcz+04528ZMF4plQuMN9+jtc4G3gNygI+Bp1va6VMIIYQQQojb5Ym3TWMUs0b3Bkxr9po6fbGc//7bFwB4NTiaoYeXC2carPk7fsEU/D31A+uHtr84oR8Ar207BkAn1+sf2i6ENbck+NNap2mtJ5uvi7XWP9Ra9zX/92KDfK9qrf211v201ltvRd3aQlFREdOnT8ff35+BAwcyceJEjh0z/bBmZ2czduxYAgIC6Nu3L4sXL7Yc1p6cnMzgwYMtZ+5lZmZaLb+0tJTZs2dbzhEcPXo0GRkZt6x91iQmJnL2bLNZuteVkpJCTk6O5X7BggVs3769NasmhBBCCNFmHhjUne4dnenU5Ny9mlpNxG93kppzDgDVYHuL+7xc2ZNfTMVV0zjHv/Mu4Oncjr73Wl+G8/QP+jCst7fl/sdDe7V2M8Rd4naM/Nk1rTVTpkwhMjKS/Px8cnJyWLp0KefOnaOiooLo6Gjmzp3LsWPHyMzMZM+ePaxevRoAPz8/du3aRVZWFi+//DKzZs2y+hnx8fF4e3uTm5tLdnY2iYmJXLhw4VY2s5mWgr+aGtsDuE2Dv0WLFjFu3LhWr58QQgghxI04e7mCmtqWz8H+LL/Ycu3eoR2d3dtzpOhKozxZZy43un842MdyHdTDdPzCvgLTGEjKF2fp5Nqe9u1s/2ru2t40bXRkn854u8nIn/h2JPhrZTt37sTJyYk5c+ZY0oxGIxEREWzYsIGRI0cSFRUFgKurK6tWrWLZsmUAjBgxAi8vLwCGDRvGmTNnmpWfn59PRkYGS5YswcHB1H29eykYN2oAACAASURBVPdm0qRJALz22msMGjSIQYMG8frrrwNQUFDAgAEDSEhIIDAwkKioKCoqTFMN8vLyiI6OJuj/s3fn4VFWZ+PHvyf7HkLCFgIkBMISQhYSgshWlKCAWBCUgtVUQah7F321tWKBWi3U17elqA0ILT9qW7EspUVZZC0SNgUJWxYCJBACYclkm2zn98czmWTIzCRYghDuz3Xl8lnOPHMeHwhzzznnvmNjSUhIIDs7G4D58+eTlJRE//79mT17ttPrrFy5kn379jFt2jTi4uIoLy8nPDycOXPmMGTIED7++GPS0tJISkoiNjaWhx56iLKyMnbt2sXatWt56aWXiIuLIzs7m9TUVFauXAnA5s2biY+PJyYmhieeeAKz2ciCFR4ezuzZs0lISCAmJoZjx47dwCcohBBCiDvVqaJSBr/1OR9sz3bYZtuJC3wvbbd1P8TPg4HhwRzOL+ZqeZX1+J6TRmC3/7V7yX1rLJ5urtZzjyR1QSnYf+oyl0orqayubVT371q7so0v+tv5eX6jexMCWjbb57duy7I/Ungq54Zes3237nwn1f6IHMDhw4cZMGCA3XMZGRmNzkVGRlJSUkJxcTEBAfW1WJYsWcL9999v9xpxcXG4uro2Ord//36WLl1Keno6WmuSk5MZPnw4QUFBZGZm8tFHH5GWlsbDDz/MJ598wqOPPsq0adN44YUXmDp1KhUVFdTW1rJhwwYyMzPZs2cPWmvGjx/P9u3b6dq1q8PrLFy4kAULFpCYmGjtj5eXFzt37gSgqKiIGTNmAPDaa6+xZMkSnnvuOcaPH8+4ceOYNGmSzb1UVFSQmprK5s2biYqK4rHHHuO9997jxRdfBCAkJIQDBw6waNEiFixYwOLFix0+EyGEEEKI5tiRaQRYX56+4rDNRZPZup3+s3twc3Whs6V23/9tyuT1B/oCxgiiv5cbwXaCNX8vd3p18OfA6cskhRvTOec92M9p3743sCtL/5PL3O86byeEMzLydxNprVHKXjlDbI5v2bKFJUuW8Pbbb1/X9Xfu3MmECRPw9fXFz8+PiRMnsmPHDsCYUhoXFwfAgAEDyM3NxWQykZ+fzwMPPAAYwZqPjw8bNmxgw4YNxMfHk5CQwLFjx8jMzHR4HUceeeQR6/bhw4cZOnQoMTExrFixgoyMDKf3cvz4cSIiIoiKigLg8ccfZ/v27dbzEydObFYfhBBCCCGa43xxBa+tPgxArZNpn3/+IhcAXw9XOgR4AfC9gUa1sivlldZ2J4vKCA30dnidhG5B7Mi8yBc5RsDZVNH218b25es3UvD3cnfaTghnWvXIn7MRupYSHR1tnbZo71zDAAYgJycHPz8/a529Q4cOMX36dNavX09wcLDdaxw8eJDa2lrrtM86dYlj7PH0rP/WydXVlfLycofttda8+uqrzJw50+Z4bm6u3es44utbn4Y4NTWV1atXExsby7Jly5osvunsXqD+flxdXamurnbaVgghhBCiKaeK6ksvbD5WyOH8q/TrHGjTJvtCCQfzrgKQMec+63EfDzeiQwO4WmZM+yyvrGF3ThGPJndz+H5xXdrwl/TTrP7yLEE+7oT4OV/H5+qiJPAT/zUZ+bvBRo4cidlsJi0tzXps7969bNu2jWnTprFz505rNsvy8nKef/55Xn75ZQBOnz7NxIkTWb58uXXE61qRkZEkJiYye/Zsa4CUmZnJmjVrGDZsGKtXr6asrIzS0lJWrVrF0KFDHfY1ICCAsLAw1q1bB4DZbKasrIzRo0fz4YcfUlJipB3Oz8+nsLDQ6X37+/tjMpkcnjeZTHTq1ImqqipWrFjR5Ot69+5Nbm4uWVlZACxfvpzhw4c77YMQQgghxDdVYjYCt999Lx5vd1cWbDjeqM3ZK46/9A7y8eBSmTHytzf3EpXVtQyLCnHYvr8l6Uv+lXL6dQ50ODtMiBtJgr8bTCnFqlWr2Lhxo7UUwxtvvEFoaCje3t6sWbOGefPm0atXL2JiYkhKSuLZZ58FjEyXRUVFPP3008TFxdmsn2to8eLFFBQU0KNHD2JiYpgxYwahoaEkJCSQmprKwIEDSU5OZvr06cTHxzvt7/Lly3n//fet5SUKCgpISUlh6tSp3HXXXcTExDBp0iSngR0YI3uzZs2yJny51ty5c0lOTmbUqFH07t3benzKlCnMnz+f+Ph4a7IZMKagLl26lMmTJxMTE4OLi4tNEh0hhBBCiOaoqKqxZtV0Jj3HaNO3UwCPJHVhd05Ro+mfdaODf5ia0Oj1Xdp6k1VYQk2t5mervgYgOjSwUbs6fp71E/CeHBLR9I0IcQOopqbX3coSExP1vn37bI4dPXqUPn36fEs9uj2ZTCbrtNPW5E79s7B161ZGjBjxbXdD3ADyLFsXeZ6tizzP28cbazNYtiuXjT8aRs8OjT/v1D3L8Ff+BcDuV+9hy/FCXv3H1+x4+Tt0aetjbVvXJufNMbi42I7UfbzvDC+tPMTnPxnOyN9uc9iuzpWySuLmbAQg962x//2NCuDO/LuplNqvtbY/anQNGfkTQgghhBCtVs7FUgByG6zpc6ZDgCexYW0Ao/h6nfMNSjHYC+iiLIHlifMlTtvV8fdyJyk8iD9+336WeCFaggR/QgghhBCi1amqqeXX649SF34dO1fssO3mo+cBeDAuFKUUfTr5Exroxa4GxdwPWRK9vPtInN1r9GjvB8Cnh88BMOfBaKf9c3VRfDxrMCnRHZt1P0LcCBL8CSGEEEKI20plda3TcgwA209c4INtOWw7cQGA3248YTdhS56plif/ZCwj2pd7GTByOHQN9uHc1fr2X+ddwdVFMdpBsObr6UbnNt6s/uosAPf1k6BO3Hok+BNCCCGEELeNvbmXiHptvTWpiiMebo0/5g79zZZGx177T32A1zHQy7odEeLLsXMmzNU1lFfW8LvPs+jcxhtvD1eH75nfILhs7+/lsJ0Q3xYJ/oQQQgghxG2hvLKGye9/AcBf955xOvpXWV3b6FjNNe2ramzbvPNwrHV7UPdgTOZqTl4s5dQlY91gYniQ0/6lDg4H4FcT+jltJ8S3pVUXeRdCCCGEEK2HqaLKZv9iqdnhCNuOzPpkLblvjeXpFfs5XmBbuqrgan0Sl6nJXekW7Gvdj2xnrOHLuVBqLcvwvYFdnfbvjfHR/GxMH7ujjkLcCuRPZgsoKChgypQpREZG0rdvX8aMGcOJEycAyMjIYOTIkURFRdGzZ0/mzp1rLda+YsUK+vfvb625d/DgQbvXLykpYebMmdY6gsOGDSM9Pf2m3Z89y5Yt4+zZs9f9utWrV3PkyBHr/uuvv86mTZtuZNeEEEII0UqUmKsBeCA2FIC8y/aLrheaKli2KxeoT9AS6O3B1fJqm3bzP6sv5B7fpY3NuYgQIxDMuVBizfTZ3t+zyT5K4CduZfKn8wbTWjNhwgRGjBhBdnY2R44c4c033+T8+fOUl5czfvx4XnnlFU6cOMHBgwfZtWsXixYtAiAiIoJt27Zx6NAhfvGLX/DUU0/ZfY/p06fTtm1bMjMzycjIYNmyZVy8eNFu25vFWfBXU1Pj8HXXBn9z5szh3nvvveH9E0IIIcTtr9RsfKbo1cEYlct3EPwN/NVm6/aDcUag6OfpysUSs8100LUHjc8ua5+9m0kDwmyu4WsZ7Vuw4QSFJjMg6/jE7c9p8KeUClNK/VQptUYptVcptV0ptUgpNVYpJYGjHVu2bMHd3Z1Zs2ZZj8XFxTF06FD+8pe/cPfdd5OSkgKAj48PCxcu5K233gJg8ODBBAUZc8kHDRpEXl5eo+tnZ2eTnp7OvHnzcHExHkH37t0ZO9YoDvrOO+/Qr18/+vXrx7vvvgtAbm4uffr0YcaMGURHR5OSkkJ5ufHLMisri/HjxxMbG0tCQgLZ2dkAzJ8/n6SkJPr378/s2bOdXmflypXs27ePadOmERcXR3l5OeHh4cyZM4chQ4bw8ccfk5aWRlJSErGxsTz00EOUlZWxa9cu1q5dy0svvURcXBzZ2dmkpqaycuVKADZv3kx8fDwxMTE88cQTmM3GL97w8HBmz55NQkICMTExHDt27AY+QSGEEELcql5bbSR56dUxAKUg87ypUZu5647Y7CtlFHvYnXMJgN9/ngmAuboGpWBYmBv9w9pY29lzKO8K7fw9nSZ7EeJ24HDNn1JqKdAZWAe8DRQCXkAUcB/wc6XUK1rr7Tejo9/ElX9mU3m29IZe0yPUlzYPRDo8f/jwYQYMsF+sMyMjo9G5yMhISkpKKC4uJiAgwHp8yZIl3H///XavERcXh6tr418++/fvZ+nSpaSnp6O1Jjk5meHDhxMUFERmZiYfffQRaWlpPPzww3zyySc8+uijTJs2jRdeeIGpU6dSUVFBbW0tGzZsIDMzkz179qC1Zvz48Wzfvp2uXbs6vM7ChQtZsGABiYmJ1v54eXmxc+dOAIqKipgxYwYAr732GkuWLOG5555j/PjxjBs3jkmTJtncS0VFBampqWzevJmoqCgee+wx3nvvPV588UUAQkJCOHDgAIsWLWLBggUsXrzY4TMRQgghxO0vq7CEg5Zae707+tO/cyDpJy81ardk50nr9rrnhli3zdXGqOFJS9H3w/nFaA2x7RwHdG880Jc3/nmEzzLO8+gg5+v9hLgdOBu9+63WOkVr/Tut9S6tdZbW+rDW+h9a6+eAEcD1L/K6g2mtHX6r1PD4li1bWLJkCW+//fZ1XX/nzp1MmDABX19f/Pz8mDhxIjt27ACMKaVxccac9wEDBpCbm4vJZCI/P58HHngAMII1Hx8fNmzYwIYNG4iPjychIYFjx46RmZnp8DqOPPLII9btw4cPM3ToUGJiYlixYgUZGRlO7+X48eNEREQQFRUFwOOPP8727fXfM0ycOLFZfRBCCCHErS/vchn/b/cph+e/PH2Ze9/ZZt3v3MabPp0CyCoscfia9J/dQ7/Ogdb9RdMSAOja1sd6TYDINo4/Did0C8LD1YXwYB9eSundvJsR4hbmcORPa33Y2Qu11pVA1g3v0Q3kbISupURHR1unLdo71zCAAcjJycHPzw9/f38ADh06xPTp01m/fj3BwcF2r3Hw4EFqa2ut0z7r1CWOscfTs36BsqurK+Xl5Q7ba6159dVXmTlzps3x3Nxcu9dxxNe3PmNWamoqq1evJjY2lmXLlrF161aHr2vqXqD+flxdXamurnbaVgghhBC3LlNFFUPeNurvhQV5M6JX+0Ztth6/YLPv4qLoFOhNUWkl5uoaPN3qR++iOvgRHuxLhwDb9Xk92vsT1cGPg3lXANh/6jJd2nrTxtNx8Nc/rA3H591HrQZXF8fTQoW4XTS5bk8pNU4p9aVS6pJSqlgpZVJKFd+Mzt2ORo4cidlsJi0tzXps7969bNu2jWnTprFz505rNsvy8nKef/55Xn75ZQBOnz7NxIkTWb58uXXE61qRkZEkJiYye/Zsa4CUmZnJmjVrGDZsGKtXr6asrIzS0lJWrVrF0KFDHfY1ICCAsLAw1q1bB4DZbKasrIzRo0fz4YcfUlJifJuWn59PYWGh0/v29/fHZGo8776OyWSiU6dOVFVVsWLFiiZf17t3b3Jzc8nKMr5fWL58OcOHD3faByGEEELcfv78Rf2IX+rSvXbb2Mug2SHA+CJ4QYOMnbkXSzlxvoSIdr6N2gPEhrUh83wJWmsOnL5MQlfndfvAmJ0lgZ9oLZqTtOVd4HEgWGsdoLX211oHNPWiO5VSilWrVrFx40ZrKYY33niD0NBQvL29WbNmDfPmzaNXr17ExMSQlJTEs88+CxiZLouKinj66aeJi4uzWT/X0OLFiykoKKBHjx7ExMQwY8YMQkNDSUhIIDU1lYEDB5KcnMz06dOJj4932t/ly5fz/vvvW8tLFBQUkJKSwtSpU7nrrruIiYlh0qRJTgM7MEb2Zs2aZU34cq25c+eSnJzMqFGj6N27ftrElClTmD9/PvHx8dZkM2BMQV26dCmTJ08mJiYGFxcXmyQ6QgghhGgd3tua3WQbzwbB3/uPGtM3B0eGAJC2o36N34gFWwHo2d7f7nUi2vlSaDKTWVjC+WJzs4I/IVoT1dT0OqXUFuAerXWt04bfgsTERL1v3z6bY0ePHqVPnz7fUo9uTyaTyTrttDW5U/8sbN26lREjRnzb3RA3gDzL1kWeZ+siz/PGMFfX0Ou1T22O5b41tlG7pf85yS//eaTR+SeX7SW3qJTNPxlBdU0tPX6+HoAvXh1Jp0DvRtf59HABs/7ffoZFtWP7iQuse24IFzO/lGfZityJfzeVUvu11vZHja7RnJG/l4F/K6VeVUr9uO7nv+uiEEIIIYRorQquVvCHLVnWDJuOfHn6is1+Gx93u+0uWOrsvf+obdb0Pp0COFVURnllDQWWQuxvTYyxG/gBDI9qR/cQX7afMNYQ9u7Y+r78FsKZ5gR/vwLKMMo8+Df4EUIIIYQQopG/7j3N/M+Os+w/uU7bPbPigHX7f+7rzZWyKmYt32/TxlxdwyLL1ND7+nW0OTegWxDVtZqDeVfIsxR8Dwvycfh+3h6uvDvFyFr+5JAI3FylbLW4szjM9tlAW611Sov3RAghhBBC3PbM1TVcKq0E4Nfrj3Fv3w5EtvOz27bI0m7ZD5II8vEA4NOMAps2P/n7QQD8vRp/bO3R3rju6aIyNMZSprAg+6N+dfqHteHInNE2GUKFuFM05+uOTUopCf6EEEIIIUSTnvrzfpsMnvf8dpvddpXVRjqJ50b2YESv9sR2aYO7q6JzG9vg7et8o7D7v55rnMG8U6AXbi6KnIulzF13lGBfD2sdP2d8PNwkg6e4IzUn+HsG+FQpVWEp8yClHoQQQgghhF3bTlxouhFYi7q3b1CP78kh3Sk0VVBdU59nsKKqhocTw+ga3Dioc3N1oXOQN3tOFlFiria5e1tcJKgTwqEmgz9LaQcXrbWXZVtKPQghhBBC3EEyzl5l1Zd5HLaMwl2PLm0bT8M0VVQxZ52RvfM7vdpZj/frHEBVjSbjrDHOUFurOV9sxtfT8UqlDv5eHLAkjpmc2OW6+yfEnaRZq1yVUhOVUu8opX6rlPpuS3fqdldQUMCUKVOIjIykb9++jBkzhhMnTgCQkZHByJEjiYqKomfPnsydO9darH3FihX079/fWnPv4MGDdq9fUlLCzJkzrXUEhw0bRnp6+k27P3uWLVvG2bNnr/t1q1ev5siRI9b9119/nU2bNt3IrgkhhBDivzT2dzv50d8OMu73OymrrG726yYNCKO6pnFZsZ2ZF63bDRO0xIa1AeDIOSP4+3j/GcB+kfc6ieH1tfqkbp8QzjWZ8EUptQjoAXxkOTRLKTVKa/1Mi/bsNqW1ZsKECTz++OP89a9/BeCrr77i/PnzdOnShfHjx/Pee++RkpJCWVkZDz30EIsWLeKZZ54hIiKCbdu2ERQUxPr163nqqafsBnXTp08nIiKCzMxMXFxcyMnJ4ejRozf7Vm0sW7aMfv36ERoa2uhcTU0Nrq72F1WvXr2acePG0bdvX8AodC+EEEKIW9fiHSd5/p6ejY5fLDGTe7HUuj99SASuLoqi0kq01ihVPx3zH1/mA+B3zYhe5zbeKAXnrhiZO3fnXALgme/0cNifH4+Kol/nQDoEeBHobb9UhBDC0JyRv+HAaK31Uq31UmAMMKJFe3Ub27JlC+7u7syaNct6LC4ujqFDh/KXv/yFu+++m5QUI3+Oj48PCxcu5K233gJg8ODBBAUZ31gNGjSIvLy8RtfPzs4mPT2defPm4eJiPL7u3bszdqxR8PSdd96hX79+9OvXj3fffReA3Nxc+vTpw4wZM4iOjiYlJYXycuOXalZWFuPHjyc2NpaEhASys41UyvPnzycpKYn+/fsze/Zsp9dZuXIl+/btY9q0acTFxVFeXk54eDhz5sxhyJAhfPzxx6SlpZGUlERsbCwPPfQQZWVl7Nq1i7Vr1/LSSy8RFxdHdnY2qamprFy5EoDNmzcTHx9PTEwMTzzxBGazUeMnPDyc2bNnk5CQQExMDMeOHbuBT1AIIYQQDdVl7qyTfrLIbrvR/7udSe9/Yd3vGOhFsJ8HldW1bDhy3npca83Rc8UM7RnC7p/dY3MNFxeF1vC7z7PQWvPVmSuM6tuBAC/HQZ2bqwtjYjoxoJuM+gnRlOaUejgOdAXq0jZ1AQ61WI9uoPXr11NQUNB0w+vQsWNH7r//fofnDx8+zIABA+yey8jIaHQuMjKSkpISiouLCQioX0q5ZMkSu++TkZFBXFyc3ZG0/fv3s3TpUtLT09Fak5yczPDhwwkKCiIzM5OPPvqItLQ0Hn74YT755BMeffRRpk2bxgsvvMDUqVOpqKigtraWDRs2kJmZyZ49e9BaM378eLZv307Xrl0dXmfhwoUsWLCAxMREa3+8vLzYuXMnAEVFRcyYMQOA1157jSVLlvDcc88xfvx4xo0bx6RJk2zupaKigtTUVDZv3kxUVBSPPfYY7733Hi+++CIAISEhHDhwgEWLFrFgwQIWL17s8JkIIYQQwr6Kqhq83J2XPPhgW7bNvouyn1Cl6JogcUJ8Zw5b1u79cm0Go6ONGn2nL5WRd7mcGUO7Nxr5a+jIuWJOXixl0oCwJu9DCNE8zRn5CwaOKqW2KqW2AkeAdkqptUqptS3au1bm2ikPDTU8vmXLFpYsWcLbb799XdffuXMnEyZMwNfXFz8/PyZOnMiOHTsAiIiIIC7OKGo6YMAAcnNzMZlM5Ofn88ADDwBGsObj48OGDRvYsGED8fHxJCQkcOzYMTIzMx1ex5FHHnnEun348GGGDh1KTEwMK1asICMjw+m9HD9+nIiICKKiogB4/PHH2b59u/X8xIkTm9UHIYQQQti3+eh5ev/i0yaTuPh4GAHaL8b1ZXhUO4rLqxq1qctfUOfInNEE+3kyrGcIAHdFhljPnSoqA6BXR3+n77vcUi4ivkubJu5ECNFczRn5e73Fe9FCnI3QtZTo6GjrtEV75xoGMAA5OTn4+fnh72/8Ajx06BDTp09n/fr1BAcH273GwYMHqa2ttU77rHPtL96GPD09rduurq6Ul5c7bK+15tVXX2XmzJk2x3Nzc+1exxFfX1/rdmpqKqtXryY2NpZly5axdetWh69r6l6g/n5cXV2prm7+wnMhhBBCGFM5n/zTPgBOnDfRr3Ogw7bm6hpcXRQ/GBzOwTNX2HbiAuk5RSR3r/+cUmK2/be4LmBUShEdGkChqcJ6btuJC7goiOpgP/hb/Fgi0/+8j7/uPYO7q6K/BH9C3DDNKfWwDWPqZyAQABzXWm+r+2npDt5uRo4cidlsJi0tzXps7969bNu2jWnTprFz505rNsvy8nKef/55Xn75ZQBOnz7NxIkTWb58uXXE61qRkZEkJiYye/Zsa4CUmZnJmjVrGDZsGKtXr6asrIzS0lJWrVrF0KGNC6LWCQgIICwsjHXr1gFgNpspKytj9OjRfPjhh5SUlACQn59PYWGh0/v29/fHZDI5PG8ymejUqRNVVVWsWLGiydf17t2b3NxcsrKyAFi+fDnDhw932gchhBBCNM9vNxy3bn9pKZNgT1VNLdkXSugU6IWLi+KpYd0B+DTDdllNZqHxmeH7g7rxwfdtl7jEdWnDvtzLaK2prK5l1Zf5pPTtSFtfD7vveU+f9tbt+C5BTqeGCiGuT5PBn1JqOrAHmAhMAnYrpZ5o6Y7drpRSrFq1io0bN1pLMbzxxhuEhobi7e3NmjVrmDdvHr169SImJoakpCSeffZZwMh0WVRUxNNPP01cXJzN+rmGFi9eTEFBAT169CAmJoYZM2YQGhpKQkICqampDBw4kOTkZKZPn058fLzT/i5fvpz333/fWl6ioKCAlJQUpk6dyl133UVMTAyTJk1yGtiBMbI3a9Ysa8KXa82dO5fk5GRGjRpF7969rcenTJnC/PnziY+PtyabAWMK6tKlS5k8eTIxMTG4uLjYJNERQgghxDd3uax+fd7y3acwV9fYbffEsr18lnGesCCjVl+/zoH0aO9HwdUKm3afHTaCwZnDu1vX9tWJCPGlvKqGq+VV7My6wKXSSiYkdHbYN6UU3UOM2UN9OjmfGiqEuD6qqel1SqnjwGCtdZFlPxjYpbXudRP651RiYqLet2+fzbGjR4/Sp0+fb6lHtyeTyWSddtqa3Kl/FrZu3cqIESO+7W6IG0CeZesiz7N1ud2f52Mf7uFqeRXTkrvy8spDrH7mbuLsTK8Mf+VfAIzt34k/TE0A4PtL0jFVVLP6mbsBKK6oIvlXmxnSM4S0xxp/cb3+63P8cMUB1j57N+9sPMHOzIt8/cZovD0cJ5r5/eZMfrvxBD8cEcn/3NfbYbsb4XZ/lsLWnfg8lVL7tdb2R42u0ZyEL3lAw2EfE3Dmm3RMCCGEEEJ8+8rM1fh6uDI40li311TSlwdj6+v4dgzwshn5O5x/lfKqGh4d1M3ua+vW7I1f+B925xQR7OfhNPAD6BDoBUC3tj5O2wkhrk9zJlHnA+lKqTWABh4E9iilfgygtX6nBfsnhBBCCCFusBPnTSR3D6ZzG28Cvd3JONs4+KtL4vI/9/UmpcFUzk5tvCk0VVBdU4ubq4s1K2ffTgGNrgEQagnkACqqavnxqIgm+zcpIYy2Ph6M7N2+ybZCiOZrzshfNrAaI/ADWAOcA/wtP0IIIYQQ4ltWWV1L4ryN/GDpHqftPtmfR3FFNVfLq1BK0bujPyfOlzRqN+jNzQCEB9uOvnUK9KJWw4USMwDHC4wJYu38PbFHKUV6g2Luw6OaDuhcXBT39u2Ai4v9EllCiG+myZE/rfUvb0ZHhBBCCCHEN3O+uIJkS7C25fgFPj1cwH39OjZqd6Wskl+vPwbAy6ON9A1BPh7kXLQN/sora6wjf12vCf46Wkbyzl6pIMjHg1OXynhuZA+n/esQ4MUnP7yLe85CPAAAIABJREFUmtqm6/sJIVqOw5E/pdQflVIxDs75KqWeUEpNa7muCSGEEEKI5lj1Zb7N/qeHz9ltN3fdUS6WmBnXvxOJ4W0Bo47fifMlXG1QvP2t9Uet292CfW2u0ckS/K3cn0fG2avU1Gp6OqjZ19CAbm0ZGNG2eTckhGgRzkb+FgG/sASAh4ELgBfQE6Pe34fACscvF0IIIYQQN4PbNdMj7U3jzLtcxicH8gB4ekT9SN2W4xcAWPqfk7x4bxQXS8z8ybKOb9KAsEZ19rpakrB8tOc0NbW1uLsqRvRqd+NuRgjRYhyO/Gmtv9JaPwwkAX8AdgBrgela61it9f9prc2OXq+U8lJK7VFKHVRKZSilfmk5HqeU2q2U+koptU8pNbDBa15VSmUppY4rpUbfsLu8yQoKCpgyZQqRkZH07duXMWPGcOLECQAyMjIYOXIkUVFR9OzZk7lz51qLta9YsYL+/ftba+4dPHjQ7vVLSkqYOXOmtY7gsGHDSE9Pv2n3Z8+yZcs4e/bsdb9u9erVHDlyxLr/+uuvs2nTphvZNSGEEOK2tenIeXZlXWyyXanZqNPn4+HKD+4OJ+tCSaPafSv3G4HfWxNj6Btan5xlSlIXALIshdq/yC4CYNbwSBZMjm30Xj4ebrxkmTL693159OscSICX+/XemhDiW9BkwhetdYnWeqvW+iOt9Wqt9fFmXtsMjNRaxwJxwH1KqUHAb4Bfaq3jgNct+yil+gJTgGjgPmCRUsp5HuBbkNaaCRMmMGLECLKzszly5Ahvvvkm58+fp7y8nPHjx/PKK69w4sQJDh48yK5du1i0aBEAERERbNu2jUOHDvGLX/yCp556yu57TJ8+nbZt25KZmUlGRgbLli3j4sWm/2FoSc6Cv5oa+4VjoXHwN2fOHO69994b3j8hhBDidnPBZGb6n/cxdXE6RSUOv28HwFRRhbe7K0fm3MfQniFUVteyO+eSTZtzVypo5+/JlIFdbY7P/W4/BnQLItMyWlheafy7PS3Ztl1DSeH10zcHdA26rvsSQnx7mpPt8xvRhro5B+6WH235qfu6KRCoixgeBP6qtTZrrU8CWcBAbjNbtmzB3d2dWbNmWY/FxcUxdOhQ/vKXv3D33XeTkpICgI+PDwsXLuStt94CYPDgwQQFGb9ABw0aRF5eXqPrZ2dnk56ezrx583BxMR5f9+7dGTt2LADvvPMO/fr1o1+/frz77rsA5Obm0qdPH2bMmEF0dDQpKSmUl5cDkJWVxfjx44mNjSUhIYHs7GwA5s+fT1JSEv3792f27NlOr7Ny5Ur27dvHtGnTiIuLo7y8nPDwcObMmcOQIUP4+OOPSUtLIykpidjYWB566CHKysrYtWsXa9eu5aWXXiIuLo7s7GxSU1NZuXIlAJs3byY+Pp6YmBieeOIJzGbjH77w8HBmz55NQkICMTExHDt27AY+QSGEEOLW8Oo/vrZuL9hwwmG7nZkX+WjPabq3M9bmDY4MwcfDlY1HCqxttNZkFppobycjp7urCwMj2pJ9oYTK6lqKK4y1f85G82K7BJLStwPd2/ny3fjO131vQohvR3Pq/H1jlpG7/UAP4A9a63Sl1IvAZ0qpBRjB52BL887A7gYvz7Mc+8ZOnJiLqeRo0w2vg79fH6KifuHw/OHDhxkwYIDdcxkZGY3ORUZGUlJSQnFxMQEB9VMwlixZwv3332/3GnFxcbi6Nh4U3b9/P0uXLiU9PR2tNcnJyQwfPpygoCAyMzP56KOPSEtL4+GHH+aTTz7h0UcfZdq0abzwwgtMnTqViooKamtr2bBhA5mZmezZswetNePHj2f79u107drV4XUWLlzIggULSExMtPbHy8uLnTt3AlBUVMSMGTMAeO2111iyZAnPPfcc48ePZ9y4cUyaNMnmXioqKkhNTWXz5s1ERUXx2GOP8d577/Hiiy8CEBISwoEDB1i0aBELFixg8eLFDp+JEEIIcTs6VlBs3f5oz2l+PdFuHj4+2J5NoLc7Sx5PAsDL3ZW4Lm04nF//+k8PF3Dg9BUeHWR/NK9XB3+qazW5RaVcKq0EwM/L8cdETzdX/vhYosPzQohbU4sGf1rrGiBOKdUGWKWU6gc8BfxIa/2JUuphYAlwL2CvkIu+9oBS6inLNejQoQNbt261OR8YGIjJZNSbqayqpKam+sbdkOWadde3p6KigspK+23MZjNms9nuuZKSEpQy/hds376dtLQ0Pvvss0Zty8vLqa6utnuNTZs2MWbMGGprawEYO3YsGzduZMyYMXTr1o3IyEhMJhP9+vXj+PHjnD17lry8PMaMGWNzvXXr1vHZZ58RGxtr7dvXX39N27Zt7V7HZDJRU1NDaWmp9Tpaa8aOHWvd37NnD3PnzuXq1auUlpZyzz33YDKZqKqqory83Nqubv/AgQN07dqVTp06YTKZmDx5MmlpaTz55JNorUlJScFkMtG7d28+/vhju/8/KioqGv35uBOUlJTckffdGsmzbF3kebYuLf08K2s0eZfLSenmxoZTxmcZR++XW1BOB2/FsS93UzcXxrvKzJfnqtmyZQtKKT7NNAK6u3wv2r1Oicn47LDk37v5V04lvYJc2LF9242+rVuS/N1sXeR5Otdk8KeUigJeAro1bK+1HtncN9FaX1FKbcVYy/c48ILl1MdA3ZBNHtClwcvCqJ8S2vBafwT+CJCYmKhHjBhhc/7o0aP4+xvphvtFz21uF2+YAQMGsG7dOmsfGoqPj2f79u0253JycvDz8yM0NBSAQ4cO8fzzz7N+/XrCw8MbXSMxMZFXX30VX19f67TPOp6ennh6elqv7+npiZeXF35+fnh7e1uP+/j4UFJSgp+fH0opXF1dbfrk7u7Oz372M2bOnGlz/dzcXLvX8ff3x9XVFV9fX+s5pRQdOnSw7j/99NOsXr2a2NhYli1bxtatW/H398fd3d3mmnX7Pj4+Nv3y8fHBzc0Nf39/lFIEBwfj7+9PQEAAWmu7/7+9vLyIj4939Khara1bt3Lt3wtxe5Jn2brI82xdWvp5PvLBF0AZvSPDOVB0mosllSTdNQTfazJvaq0p3bGJIeEdGDGiv/X4KY9cNp/OIHrAXbQP8GLt+a8IDSxi7Kjv2H0/rTXzD2zkb8eNIHHeI8k26/paM/m72brI83SuOWv+PgYOAK9hBIF1P04ppdpZRvxQSnljjO4dwwjohluajQQyLdtrgSlKKU+lVARGSYk9zb+VW8PIkSMxm82kpaVZj+3du5dt27Yxbdo0du7cac1mWV5ezvPPP8/LL78MwOnTp5k4cSLLly8nKirK7vUjIyNJTExk9uzZ1iyhmZmZrFmzhmHDhrF69WrKysooLS1l1apVDB061GFfAwICCAsLY926dYAxMllWVsbo0aP58MMPKSkxlmzm5+dTWFjo9L79/f2djoiaTCY6depEVVUVK1asaPJ1vXv3Jjc3l6ysLACWL1/O8OHDG7UTQgghbidaaxZtzSL3YqnTduknjWQt7q4uvPuI8UXm3txLjdrlFpVxqbSSfp0DbY5HtvMDIOuC8W/5gdOXCWvr0+j1dZRSNnX+4ru0acbdCCFuN80J/qq11u9prfdorffX/TTjdZ2ALUqpQ8BeYKPWeh0wA/itUuog8CaWKZxa6wzg78AR4FPgGcu00duKUopVq1axceNGaymGN954g9DQULy9vVmzZg3z5s2jV69exMTEkJSUxLPPPgsYmS6Liop4+umniYuLs1k/19DixYspKCigR48exMTEMGPGDEJDQ0lISCA1NZWBAweSnJzM9OnTmxz5Wr58Oe+//761vERBQQEpKSlMnTqVu+66i5iYGCZNmuQ0sANITU1l1qxZ1oQv15o7dy7JycmMGjWK3r17W49PmTKF+fPnEx8fb002A8ao3dKlS5k8eTIxMTG4uLjYJNERQgghbkfvbsrkN58eZ8SCrdYvcZ2p0ZrenYzZLSftBIwLPze+JB0cGWJzPLK9kfwl+0IpZ6+Uk1tURo/2fs3q49CeIbi5tlhOQCHEt0g19YtHKfUGUAiswijfAIDWuvHXTzdZYmKi3rdvn82xo0eP0qdPn2+pR7cnk8lkd9rk7e5O/bMg0x1aD3mWrYs8z9blmz7P8Ff+Zd3e8fJ36OJgNG7obz7nzKVydrz8HcKCvOn/xgYmJnTmlw/2s7a5YDIz6Neb8fN046vXR1lzB4Axwthv9meMjwtldHRHUpfu5W9PDSK5e7DDvl0urWTJzpM8f09PPNzunOBP/m62Lnfi81RK7ddaNysDU3P+Zj+OMc1zF0bmzv3APqevEEIIIYQQNkrMtknohv5mi912pooqrpRWMSG+M13a+qCUIjzEl5NFZTbtth4vpKZWs2J6sk3gB8ZMpNLKGj7ac4bjBcbsnagOzr/oDfL14Keje91RgZ8Qd5omE75orSNuRkeEEEIIIVqz88UVTbapqdXEvLEBgMTw+uLpHQK82HT0PFmFJnq0N4K45btP0aWtN306Bdi9VkznQL7Ov8qv1xs5QIN8Pf7bWxBC3Oaa/GpHKeWulHpeKbXS8vOsUspx1U8hhBBCCNHIPkvClpdG97Iey7tsO5rXMKlLw2yb5mojDcJblkCu4GoFh/Ku8vhd4bi62KuWhU1Nv1hJ4CKEoHnTPt8DBgCLLD8DLMduWc1ZQC1aN/kzIIQQ4lZSXVPLPw+eA+DRQd2sxz89XGDTbs1XRpWr7w/qRs8GCVp++7BRezcsyFgjuP/UZaA+q6c9fp7139W/Pu7OWwMvhGisOUXek7TWsQ32P7dk6rwleXl5UVRURHBwcKP57+LOoLWmqKgILy+vb7srQgghBADD528l/0o5SeFBBHq7M65/J9YdOkdxRf06wKPnivloz2kAZj/Q1+ZzTHt/L8KDfbhYYuTee+YvBwDw83L8US7Quz746x7SvEyfQojWrTnBX41SKlJrnQ2glOoO3LIlGMLCwsjLy+PChQvfdlduGxUVFa0uUPLy8iIsLOzb7oYQQohWTmvNU8v380V2ERt+NIzQNt522+VfMcog1a3Xe/eROHZkXrSZ9vn3fWcACPHzsFtqoVOgN2cu2U4T7d3RcRKXujWDHQO8ZL2fEAJoXvD3Eka9vhxAAd2AH7Ror/4L7u7uRERIjprrsXXr1ibrAQohhBCisS/PXGHjkfMADH7rc3LfGtuoTcOlCOP6dwLAzdWFXh38ybtcXxvX290VgL0/v9fue8V2acP727IpMVcT4ufBqL4d8fdynIbBy92VzT8Zjo+H6/XfmBCiVWpOts/NSqmeQC+M4O+Y1trcxMuEEEIIIVq9o+eKbfbN1TV4utkGW/M/Ow7Ai/f25O4e9cXYw4K82Z1TBMCl0koWbc0GcLhspW4N4JlLZVwsqSS4GaN5ztYECiHuPA6DP6XUSK3150qpidecilRKobX+Rwv3TQghhBDilnY43zb4y7lQalN64XxxhTWou3YELizIm7NXK6isruXkxdIm3yvE3xOA/9uUCUCcZPAUQlwnZ9k+h1v++4Cdn3Et3C8hhBBCiFtaqbmatV/lM6h7WxZMNnLjLdySZdNmzj+PANClrTePDw63Odcx0Fgf+OO/f0XB1aZrAIb4GSN9n2YUoBQ2o4hCCNEcDoM/rfVsy+YcrfUPGv4Ac29O94QQQgghbq7PMgoIf+Vf/HzV107bHT1XTGllDamDw3kwLhQAl2umbF4uqwRg/QvDGk0HbeNjrNdbd+gc564aa//+8fRgh+8X4udps+0ta/mEENepOXX+PrFzbOWN7ogQQgghxK1g8Y4cAFakn3bYRmttPR8e4ou7qwvf6dWOrMISm3Z5l8sZ178Tfp6NV9rcF90RgNHRHcgqLMHf0414J1M5G67xe2po9+bfkBBCWDhb89cbiAYCr1n3FwC0rroAQgghhBAYQd3e3MvW/crqWjzcbL8rr66pZeuZalYdyQegi6XwelRHf/6TVUR1TS1uri6cLirj9KUyJg+wX3rIxUUxpEcIn2UY2UIfjAt1WqPYzdWFk78eQ1llDb52gkkhhGiKs5G/Xhhr+9pgu94vAZjR8l0TQgghhLi5thwvtNmfu+5IozbvbsrkT0eM6ZyLpiVYA7G4sDZU1tRy4PQVAHZmXQRgWFQ7h+/n61k/dfO5kT2b7J9SSgI/IcQ35mzN3xrL+r5x16z5e15rvesm9lEIIYQQosWdL67gN58aZRk++P4AAA6fvdqo3b+/PmfdHhPTybodHRoIwKkiI3Pnqi/zAAgP9nX4ns/fYwR8L43uRY/2UpZBCNGymvPV0ZdKqWcwpoBap3tqrZ9osV4JIYQQQtwgW44XsmL3KaI6+PPTlF64uNifWvnuphMcKzABMDq6I98b2IUNlimZDXVv50vOxVL+88pIm+Mh/saavKJSY1TwUmklvTr4E+jjuBB7dGig3cLwQgjREpqT8GU50BEYDWwDwgBTS3ZKCCGEEMKRq2VVnDjfvI8i1TW1/GDpXjYdLWTR1mwmf/CF3XYVVTV8tOcMAE8OiQCMEbui0kqullfZtNt/6jKDOrnSuY23zTV8PNzwdnelqMRMUYmZ7AulUotPCHFLaU7w10Nr/QugVGv9J2AsENOy3RJCCCGEsG/S+7tI+d/t/H3vmSbbFprMNvv7T1222+6djSes26+N7QNARIgxXTO3QQH29YfPcbmsiqGd7Y/mBXi7kbbjJK+vzQCgUxvJkSeEuHU0J/ir+7rrilKqHxAIhLdYj4QQQgghnMi0lFN4+ZNDLP8i12nb339uFF33dndlYkJnlIISc3WjdnVB4f/c19uacbMu+DvZIPjbkXmRED8P+gbb/whVXaMB+NchY13g9wZ2beZdCSFEy2tO8PdHpVQQ8BqwFjgCvN2ivRJCCCGEsENrbbP/izUZTtvXJV3Z/eo93NunA1rD6aKyRu083VyI6RzID0dEWo91DfZBKcixBH9aa/afukxM50CHJRl6drBN2tLGyXo/IYS42ZwGf0opF6BYa31Za71da91da91ea/3BTeqfEEIIIYTV+WJzo2O7si/abau1pqKqlvuiOxLo406HAGMK5u8/z7Rpd+ZSGbuyi/g63zazp6ebK2FB3tZpn8fPmzhVVEZSRFuH/Qvx82x0DSGEuFU4Df601rXAszepL0IIIYS4g10tq7JZX2dP9gVjyuf42FDrlMqpaemN2q09eJaIV/8NgI+HEYBFWUblGgZ51TW1PGxJAjPcTj2+yHZ+HLdkAD1lGTEc1tNx3b4f3B1h3Z7koLi7EEJ8W5oz7XOjUuqnSqkuSqm2dT8t3jMhhBBC3FFSl+1hxIKtlFfW2D1fXVNrDf5+NqYPr9zX23ru2umgr685bN1+anh3APy93HkgNhTXBqUeVu7P49zVCgCW/SCp0Xsmdgvi+HkTV8oqOXulHIDQa7J8NjSgWxCrn7kbgPuiOzq+WSGE+BY0p85fXT2/Zxoc00D3G98dIYQQQtyJducU8eXpKwAczLvCoO7Bjdr8cMUBNh4x6u6F+Hng5upCiJ8nF0vMXCqtJLjBlMu2Ph5cKTNy1vXq4G89HhroxWcZFdTWalxcFMUVRpvfPNTf7jq+pHDj++59uZfZkWlMLw1qYh1fXJc2HHojhQAvWe8nhLi1NGfkr4/WOqLhD9C3pTsmhBBCiDtDoamCKX/cbd3POFtst11d4Afg5mp8hJn33WgA6+gdQHlljTVJy65XRtoEdX1DA6isruVgnhFovvnvYwBMTrQ/RTO2Sxs8XF3YeOQ8nx8rpJ2/p8NkLw1J4CeEuBU1J/jb1cxjQgghhBDXLW17js3+7pwiu+283Bt/bGlvSeJSaKoP/uoCu5S+HRpN0bzLMqL41ZkrmKvrp5c6Cui83F2J69KGv+0zagr+ZFSU03sRQohbmcNpn0qpjkBnwFspFQ/U/VYMAHxuQt+EEEIIcQcoKq20bj+UEMY/D52loqoGL/f6TJmni8qoqKpt9NogHw8ArpZXWY/95O8HAXhzYkyj9u38PfH3cuPkxVLOXDISuEyM7+y0f9/p3Z49uZcASAyXtAdCiNuXszV/o4FUIAx4p8FxE/CzFuyTEEIIIe4gF0uM4G/NM3dz6lIZnxzIY9GWLH6c0sva5t3NJwBYODWe6NBA6/E23sb0ygWfnWBCfBg1tZr8K+WEBno1KrsAxghft2AfcovKSD9pBHTPjuzhtH/xXdtYt7u0dZzsRQghbnUOgz+t9Z+APymlHtJaf3IT+ySEEEKIVqCmVlNWWY2/k/Vvn+zPY/uJC8R3bUNslzbWWnzrvj5nDf601qTnXCI6NIBx/UNtXh9gCf7yLZk4c4uMtX4/cjI9s2tbH/79dQF+nq6E+HkQEeLr9D7iurRheFQ7YsMCpW6fEOK21pxsn+uUUlOB8IbttdZzWqpTQgghhLi9VVTVMOZ3O8i5UErWr+63Jmi51j++zAMg54IRtHUM9OKhhDC2Z16wtjlzqZz8K+XMGhHZ6PWuLoqx/TvxdZ5Ru2/NV2cB6NMpwGHfokMD+ffXBfz76wISuwU1mcDFy92VPz0x0GkbIYS4HTQn4csa4EGgGiht8COEEEIIYdcnB/KsAV32BccfG7qHGIXX7+5RX9qhTyd/LpjMXDCZgfoEMIMi7K+36x7iS/6VckwVVaRb2va0FHS355GkLtbt2C5tHLYTQojWpjkjf2Fa6/tavCdCCCGEaDXqRuIAMs5epVdH/0Ztams1y3efAmDB5Fjr8cj2RuB2+lIp7fw92X2yiGBfD3q0tx/Q3d0jhN9/nsXunEucOG/i4cQwp9MzQ/w8CfR252p5FU8OifhG9yeEELejZpV6UEo1TpclhBBCiDtKba3m1/8+yvECU5NtT5w3kRQehKebC/tOXbbb5sszV6zbPh7130d38DfW/e3NvWxd7zeoe7DD6Zl1a/b+k3WRy2VVTqd81tnz83vI/NX9jUpBCCFEa9ac4G8IsF8pdVwpdUgp9bVS6lBLd0wIIYQQt5aciyV8sD2H0e9ut6mRdy2tNVmFJUR18OfePh34294zNnX4wEgGs/Q/J+2+vluwUVHq2Lli8i4b6/2SuzsuseDtYYzyLduVC8CIXu2bvBdPN1fcHaxDFEKI1qo5v/XuB3oCKcADwDjLf4UQQghxh9Bac+872637f951ymHbCyVmiiuq6dnej5nDu1NTq/nHgXybNv/++hzrDp0jOaIt+1+71+acr6cbfToFUFRaWb/er3swjvi4207x7NpWyhELIYQ9Ta7501qfUkoNAXpqrZcqpdoBjldRCyGEEKLVefvT4zb7x5xM/Vyx+zQAPdr70z+sDeHBPuw5eYlZw+uzdWYWlqAUrJiebDcT6NFzxQBU12ja+nrQ08F6P6DR611dnGfvFEKIO1WTI39KqdnA/wCvWg65A/+vJTslhBBCiJsj87yJXVkXnbapqdW8vy0bgLAgb/p1DiCz0H7w9/mx8/zf5kwAa4KWhK5BHM6/atOu4Go5wb6eDktA1Pkip4j7+nVsshxDnX89P6RZ7YQQ4k7UnGmfE4DxWMo7aK3PAo1TdgkhhBDitrLmq3xG/e92pi5OJ/tCicN2k9/fBYCfpxv/fHYII3u151DeVS6VVjZq+8SyfYCRUbNDgCcA0Z0DKTSZKSw21v2Vmqv5+748ujsprv7yfb2s2y/e07PJe/nRvVF8mJpIdGhgk22FEOJO1Zzgr1JrrQENoJRy/JtaCCGEELeFrEITL/z1K+v+j/9+0GHbA6eNrJx/mJZAkK8HAyOM9Xd1UzPrVNXUWrf3vXavdbSuX6iRfXPrcaNw+8mLRt2/u3uEOHzPRwd1s263D/Bq8n5euLcnI3t3aLKdEELcyZoT/P1dKfUB0EYpNQPYBKS1bLeEEEII0ZIqqmpt9tv6uDtoV5/Vc1hPI1jr08mYAHRt8Lc395Lda8SEGaNx204Ywd/pS2UA3NvXcVbOAC93nh/Zg7/PvMthGyGEENenOQlfFiilRgHFQC/gda31xhbvmRBCCCFaTFllfVAXEeLLkXPFVNfUNlqDd8BSo290dAfrSF6wnyft/T050iD4KzRVMDUtHYCtPx1hcw0fDzeG9Agh/0o5AGcswV+XJrJy/jill9PzQgghrk9zEr5EADu01i9prX8K7FRKhbd0x4QQQghx/QqLK7hYYm6yXW6RMfXyx6Oi+NGoKM4Xmzl0TVIWwBrgzftujM3xzkHeFBbXv8/vLEleHkoII9zOWr6OgV6ct6z5+/xYIR5uLgR42R9tFEII0TKaM+3zY6Dh3JAayzEhhBBC3GIGvrmZxHmbOHe13GEbc3UNL688BMDo6I4M6RGCUrAz0zbrZ2V1Lct25dKlrTft/D1tzn15+go7sy5ytbzK5vicB6PtvmeQjzuXyyqprqkl/eQlKqtr7bYTQgjRcpoT/Llpra3pvCzbHi3XJSGEEEL8t378N8cJXC6Y6kfs/L3caOvrQb/QQHZkXrBpt/qrfPIul/PzMX0dXivzvFHyIf9yOX07BeDraX9Fibm6loqqWj7LOA/A5AFhzb4XIYQQN0Zzgr8LSqnxdTtKqQcB5wWBhBBCCHHT1dRq6/YXOUUO22VfKLVut/U1vs8dGNGWQ3lXqW1wjSNni/F0c2F0dOMsmnWJWPKvlFNTq8k4W0x4iOM1fHU1/z78z0kApjXI5imEEOLmaE7wNwv4mVLqtFLqDEbB95lNvUgp5aWU2qOUOqiUylBK/bLBueeUUsctx3/T4PirSqksy7nR3+SGhBBCiNamsroWo+qScy99bDvad6qo1G67xz/cY932cncFILKdH+bqWs5Z1uWBkcSlcxtvuwXW+1syeG4/cZHsCyUUmsxOSy1MiO8MwP5Tl/Fwc6GnJRgUQghx8zQZ/Gmts7XWg4C+QF+t9WCtdVYzrm0GRmqtY4E44D6l1CCl1HeAB4H+WutoYAGAUqovMAVCyGooAAAgAElEQVSIBu4DFimlXL/RXQkhhBCtyMMffMF3F+1y2qaqppZ/fJkPwMpZxqjcmq/ONmrXMIj8MDXRul03anfSMipYXVNLes4l+lhq9F3Ly92VToFeHDlXzJ6TRomH+K5tHPbPz9MNNxcjiIwNC3Q4PVQIIUTLafI3r1LKE3gICAfc6r7901rPcfY6S2H4Esuuu+VHAz8E3tJamy3tCi1tHgT+ajl+UimVBQwEvri+WxJCCCFuvtyLpbT182h2BsuZy/dxT58OPJzYxWm7EnM1X50xiqxfLasi0EE9vrryCU8OiSAxvC092vtxKK9x9s53Np6wtms4UtclyAj+zlrKMXyRU0RRaSUP9A912LdhPdux5XghB89cIcjHne52snzWUUrh7eGKqaKabsGO2wkhhGg5zfnabQ1wFdiPMZrXbJaRu/1AD+APWut0pVQUMFQp9SugAvip1nov0BnY3eDleZZj117zKeApgA4dOrB169br6ZKwo6SkRP4/tiLyPFsPeZa3l9RPSwnzU8wbYn/dW93zNNdoFn1l5uCFGv4/e/cdJ1dZNXD89+xs771kN1uzm03vlZACCQQCIk2qoiCooNJefBFEpagIvAgoKiiIKFUBKSGBBLIE0nvdtN1stvdeZts87x936k7ZqNmQbM7388nHO3fO3rmXCYaT5zznfLSvhsT2Ip/XfWSjo2vnHX/5lBvGBXmMW1/ZB0CsuYqCgloSTGa2FXe4/R56db2RJMaYKykoqLWf7+w1VgS37T1AYkcRL+zpJtgEfjWFFNQf8PiZXU091Lb18o9t5eTF+PHZZ5/5fJYJsbC+ErL96k/739vy7+fwId/l8CLfp2/Hk/ylaa2X/icX11r3A5OVUtHAO0qp8dbPjAFmAzOAN5VS2YD7hgJjpXDgNZ8HngeYPn26Xrhw4X9ya8JJQUEB8s9x+JDvc/iQ7/L00WruhZUfU96uvX5ntu/zd58eZlfdIfv5BQsWeNxTZ/PNlcvtx21+ESxcONdz3L1G3JKzZ5KXFMERUzEblhcybtoc+5iGlq5eGlZ+zKVTUvn+FZNdft5i0fDJh2xtDOChr5/NDwtWc+GkVM47d7LbZ9kEptXzXpEx2P2nl81gXm6811iAmXP7+Oe2cq6blYHJz/sznw7k38/hQ77L4UW+T9+Op+HLeqXUhMHDvNNaNwMFGHv5yoG3tWEzxgzBeOt559qXNMB9s4IQQghxirnquY2DB1l19fa7vK5t815UU1LvaNiyeEwiFc3eZ/fZJFoTvXEjjIYseysdpZ93vrETwGP3Tj9rMlZU18HG4kZazX1cMD7F52flJUcAxn6+wRI/gNBAf74xJ/O0T/yEEOJ0dTzJ3zxgm7UD526l1B6l1O7BfkgplWBd8UMpFQIsBg4A/wLOsZ7Pw5gZWA+8B1ytlApSSmUBucBmT9cWQgghTiWFVa3HHTtwKPqB6javsS+tLwFg8shoJqRGU9ViprfffTj6tX9yJJ9RIcaewIlpUQQH+FFwwFHaWWPt5Ll4jPeunACvby4FIMvHHj6A+PAgHr1sAi/cMN1nnBBCiFPD8ZR9XvAfXjsF+Kt1358f8KbW+gOlVCDwolJqL9AD3GBtDrNPKfUmsB/oA26zlo0KIYQQp6z6dteVu23HGpmWEesx1mLRrN5f63Luz58XsyAvwS22q6ffnvy9evMs3txSBhgD2kdEh9jjjtS2s77ImOn3k2Vj7CWkYUH+jE6KoNi6eqi1pqrFzFXTR+Jv8vx3v5dNSeXtHRWs2FsNQHx4oM9nB7h6ZvqgMUIIIU4NxzPq4RgQDVxs/RVtPTfYz+3WWk/RWk/UWo+3dQfVWvdora+3npuqtf7U6Wd+obXO0VqP1lqv+M8fSwghhDg5/lDgaNgSEeTPn9Ye9RpbWN1KdauZ/7tyEiWPLgPA2/i+Umv3TjDKJcOtXUTv+afrLL8XvjA+75b52Xz77GyX99JiQ+1dQHeUNdPY0cP0zBiv92cr4wRIjgy2ryIKIYQYHgZN/pRStwOvAInWX39XSv1gqG9MCCGE+DJprY9rsLot+XrsiomcMyaRXeXNXmPXHzFW6GbnxAFwbn4ijR09HmNtyd+fv2GUVM7KMlYTG9pd48ubOkmICOK+C8e4XSPQ5EdJQyeHa9rYVtIE+C757OlzlJTmp0T4bEQjhBDi9HM8e/5uAmZprX+qtf4pRpfOm4f2toQQQogv14LHC8j68Yc0d3pOzgDazI79e1+bPpLxI6KoajF7TOj2N/Tziw8LARgRFQxATFggTR6ub+7t51cfFhJo8uOsUUYjlZGxoczIjCF6wJy/otp25o3y3GxlRqaRMB6saeNAdRvx4UHEhHkv5ZxrTUrTY0P5+cXjvMYJIYQ4PR3Pnj8FOO+968fzWAYhhBBiWOjps9hX3v70eTH3nJ/vMc65NBMcDVLKGjuJHZBkFTY6/ii1rajFhgXS2NGD1tpllS3/gZX245BAk/04IjiA6haz/XVnTx+VLWavw9UXjDb2Erab+9hV3syktCgvT2yYnhlL0S8vlG6cQggxTB3Pyt9fgE1KqZ8rpX6OMYj9hSG9KyGEEOJL9OuVjqHmhVXeu3E+tfowAL+/bioAKdHGil6lh5EM5j6jhDTMKZmLCQ2ku89CZ48jMTQ7jYKwlXrapEaHUFzfTpc1/nBNOwDZCeEe78+2Z+/et/dQVNfOlPRor89iI4mfEEIMX8fT8OVJ4FtAI9AEfEtr/dRQ35gQQghxIr25pYzPDtUNGmexaPs+PjC6a3qzan8NgL0007ba1zxgnMP20iZWHesD4NP/WWg/nxEXCsCBaseoiKI6I6G7c3Eef71xpst1ZmbFYu61sLHY2Dv4xZF6+3lPnBNNreG8cclen0UIIcTw5zX5U0rNUEpdAKC13q61fkZr/TQwUik17aTdoRBCCPFfslg0P3prNze8uJnMe5f7jM2+70P78bSMGPZUtPDxvmqfP2NbYbP978BZfv/cVg4YHTmTIoPt58emRAJQUu8oHz1SayR/F0xIJjjAhLMx1vh/7awAYEdpE9kJYSRYB7sPpJTipxeNtb/OTfS8QiiEEOLM4Gvl73Gg0MP5/db3hBBCiNNCeZNrGWZHd5/HOOfunjfMyWDZhBQA/rbRfcKRxWLE2mIAQqzJ2otOK4daaz47WMeURJNbR86YUGOl8O5/OMY3fHawjkB/PzLj3PfxjUoMJ8jfj0CTH1prtpc2MzXd++gGcKwuLpuQIt07hRDiDOcr+YvTWpcMPKm1PgLEDdkdCSGEECfYwRrXfXtPrjrkMe75tcX24wsnpHDjvCyiQgJcRiAA1LaamfnLTwA4b5xjdIItuapt67YnkiUNnVQ0dzEh3nUVDyAi2NF3rd2akG491sTCvAQC/T3/EZ2TEE5jRw+ljZ00dvQMuo/vnPxEXv32LH59xUSfcUIIIYY/X8lfiI/3PLcVE0IIIU6i0oZOlu+uGjRue6kx427dvecAxmw+5zENNm9vN8opL5uayqxs4+85W7p62XS0kZ1ljvl9972zh/p2Yy/gxRNHuFzj15dPAKCorgPAvj8vP9Y9+fPzU/YxDRVNXewub6a0sZNpGd5X8/JTIth8tJG/rCsBGHTlTynF3FHxhAcdT4NvIYQQw5mv5G+1UuoXakCNiFLqQeDTob0tIYQQwreWrl7mP76G217dzsq9vhPALw7XM25EJKnRIUwaaayUVTmNTLCJCw8kPzmCJ7822e298ibHvrzVhbUAXDNzJH4DumOOTrbt4zOSv4/2VZMWE0JKmOeSy4cuMebpbSlptCefl09L8/osc3Piaevu46X1JQDkJUV4jRVCCCGc+Ur+7gaygSNKqbesv44Ao4G7TsrdCSGEEF783Wkf3quby3zG1rV125ur/GSZse9uYPLX3NnDtmNNTB2w6hZoMv6obDP32a9l84BTMxWbFOsA96pWM1UtXRQcrGNaRozX/Xa2vX1vby+3J3Tx4Z4buIBjQDzAt87KlNEMQgghjpvXGhCtdQdwjVIqGxhnPb1Pa13s7WeEEEKIk+Xxjw7aj4/UeJ/F938fH6S61Wzvspls/d+BA9offH8/3X0Wvj47w+X8xvvOZerDq+xJ3/4qYyzDXUvyCA10/2M0PjwIpaCotp0vDhujJbLjw4EWj/dnWzncXmqUleYn+17JiwoNsB/ffm6uz1ghhBDC2fHM+SvWWr9v/SWJnxBCiC+d8369e84fTWWLmbIByRzAQ+/v57efHgFg2USjK2dipLGq9rJ1lQ2Mjpwr91YzOzvWPk7BJjYskLykcLaUNAKwocjYw3fDnEyP92byU2gNL60voavXaBTzvYU5Pp8nNdqxzf7Vm2f7jLWtCn5nfjbR1m6hQgghxPEYNPkTQgghTiV9/RYm/PxjAGZlxbJ4jNFt8zGnlUAwOnK+uM4YuRAWaLIndUH+JlKjQ+i3OMY6tJr76Ort55z8RI+fOSMzll3Whi+fHapjTnacywrcQLaGLRuK6pnvo3OnzWTrPsS7l+TZB8V7kxQZzNp7FvGjpfk+44QQQoiBJPkTQghxyqhr6+a9XZUu8/YGOlTTbj/+3sIcRlkHl7+/q9Ilbu3hevvx3789y+W9peOTqWzpsn/OpwdqAO/NU5Ijg40Esaefotp2JqZF+XyOu8/LA6C3XzMz03c3TgB/k1H6OSfn+CYppceFyl4/IYQQ/zbp+yyEEOKUcdNft7C7vIVPCmt4+uopHmMOVLfaj5OjgjH5KRaPSXIZxQCO7pw7f7rErTwyLSYEc6+Fxo4e4sKDeH1zGfHhgczPTfD4mXHWUss9FS309FvIivc98WhElKOM0zYywpefLBvL1PQYnyMehBBCiP+W15U/pdQEpdRGpVSZUup5pVSM03ubT87tCSGEOFNorTlQbTRueXen99W/u97cZT82GqnA2JQIGju66et3DGN/avVhAI/74mx77Cqau6hq6WLT0UbykyPdxjbYxIcb13hpvVFGmjlI8pcRF2pvLDN2wB5CTxIigrhhbqbXjqBCCCHEieCr7PMPwM+BCcAh4AullG3HuveNDkIIIcR/YHtpEz19FrKtidWWkia3GHNvv/343dvOsu+lS4kOwaKh1tqR02LxXjYKkBpjJH/lTV2s3FsNwNm58V7jbSt/H+4xYgc2hRlIKcXrt8zmre/NIUyGqwshhDhF+Er+wrXWK7XWzVrrJ4DvAyuVUrMB33+qCiGEEP+my/+wAYD7rXP4Pthd6RZT0mAMTl86Ltk+rB0g17rvz9aRs6K5C4DbFnnuspkWHQrAoysOcKyhk/Agf26Zn+313pIiHXP3Lp2SSlTI4H8HmhkfxrSM2EHjhBBCiJPFV/KnlFL2He1a6zXA5cDfgAyvPyWEEEJYFdW1M/XhVdzzj12DrsbZpESFkBEXSnNnr9t7eyuM/X4/HDDfztYt8/bXdwKwutBo4OJtD19kiLEaV9rYyY7SJrITwnyWXKbFhHLRxBQunjSCJ66cdFzPIYQQQpxqfCV/vwbGOJ/QWu8GzgXeHsqbEkIIMTz87N19NHb08I9t5eyt9DzkHHDZ35efHEFTRw/v7XJf+Xtk+X4At4Yr/ibXP84+3ldDRLA/k9Oj8UQpZR+psKu8hYsnjhj0WX537VR+e80U6bIphBDitOU1+dNav6q13giglApXSoVZz5dqrW8+WTcohBDi1NJm7uWYtfxyMOuLHOMWlu+u8hr3whdGI5WHLhmHn5+iu89o3LKpuMEeo7WmubOX+PAgQgJNbte4aV4WACX1HWw62sB1szII8nePs/nZxWPtxxMGGd0ghBBCDAc+5/wppb6nlCoFjgFlSqljSqlbT86tCSGEOBXd/85eFjxewBdOc/Q8eXVTKbZKz7k5cXy413vy98jyQsDRSOUbc4zdBVc9v9Eec7TeSDjvWJyLJxNSjQRu4RMFWDRcNDHF5/3ZunGCMcRdCCGEGO58jXr4CXAxsFBrHae1jgUWARdY3xNCCHGG6emz2Msxr39hk8/Y+97ZA8Ar357F7Ow4ypu6aOzo8fkzo5ONIevpsaFu7605WAfAWaM8d+UcOCPPdi1vpmbEcMOcDN6+da6UcgohhDgj+Fr5+zpwmda62HbCevw14BtDfWNCCCFOPb9Zfei4Y5eMTQKMZG1mVixaw94K131/tW1mvvu3bQDkJYUTGWx00bxulqOvWHFdO23mXh7+wNjvlxnnnhgCpEQ5VvLiwgIJMPksbiHA5MeDl4xnaroMVhdCCHFm8Pkno9ba7OFcF2DxEC6EEOI0pLXmvV2VtJrdu2s66+mz8IeCIpdzdda5ep70WzTjU40yziRriWV9u2v8uiP1rNxnzM67c3Ge/bzzsPXypi72VxpdPr8zP9trV07npi+v3DzL57MIIYQQZyJfyV+5UurcgSeVUucA3jduCCGEOK28u7OSH762gwff2+8zbn+VkYCdNzaJ578+DYCNTg1ZBurs6SM0wBipkBhhzMk7UtvuElPR1GU/njugnPPd284CoKGjmwPVbQDcaG3q4s2rN8/i2/OyyE/2PYRdCCGEOBP5Sv5+CDynlHpJKfUDpdT3lVJ/BZ7HGPguhBBiGPh4v7Hy9tb2cnr6vBd2bDvWBMBDl4xnUX4iIQEm+7mBPjtUx8biRoKtXTnDgvxZNDqBd3ZUuMSVNXYRHx5IyaPL3Aanp8WEAFBc10FhVSuxYYH2JNKbuTnx/OSisT5jhBBCiDOVr1EP+4DxwFogE8i2Ho+3vieEEOI0p7VmS4kjgXt5Q4nX2O2lTYyICiY5KpgAkx+TRkaxvdRz8veTfxnNXg7XtNnPTc+MparFTEd3n/16b2wtIyEi2OM1Iq3J4G8/PUJhdRv5yRE+B7ELIYQQwjdf3T5HAdO01i9qre/WWt+ltX4BmKGUyjl5tyiEEGKolDZ2UtfWzSNfHU9qdIjXZA6MZi3OQ9OnZcSwr7KVrp5++zmLRfPjt/dQ1miUc87OjrO/lxlnDGY/1tAJwPvWrqF3LXHs9XPm3LBlV1kz40ZIKacQQgjx3/BV9vkU0ObhfJf1PSGEEKcorTUtXb4buAD2Vb8ZmbHMyYnjk8Jaj6WfhVWtHGvodNlLNyE1in6L5nCt44+KHWVNvLa5FIDFY5L45aUT7O9lxhtdOkusA+LbzH0kRQbZu4J68sw1U+zHzh1AhRBCCPHv85X8ZWqtdw88qbXeilEGKoQQ4hT16IoDTH14FR9bO2l6s6m4gchgf3ITwzknP5HuPguF1sYuzi54+nPAdXZeVnw44Bi+DvDBbqMfWESQP7+9Zgoh1j1/ACOts/tW7DXu6UB1KxmxYT7vb1aWY/h6ZrzvWCGEEEL45iv587wJwxByom9ECCHEiVHV0sVza4vpt2h+++kRn7FrD9dxdl4Cfn7KPu9uXVG91/iZmY5kLMM6b6+k3ijjtFg0f1lXAsCquxa4JH6AfYbf+7sq+fRADXsrWpk7Kg5fbCMiBmv0IoQQQojB+Ur+tiilbh54Uil1E7Bt6G5JCCHEf+PlDccAyE0MZ19lC7VtbiNbAThY3UZNazeT0qIASI4KZlRiODtLm13ibPsAL5yQTExYoP18cICJEVHB9jJO2zgGgOhQ186dNrcuNLaM3/jSVpSCq2ekD/o8a+9ZxIrbzx40TgghhBC++Ur+7gC+pZQqUEr9n/XXZ8C3gdtPzu0JIYT4d20oamB2diy/u3YqGvj7xlK3GHNvP+c/tRaASyan2s9nxoXZG7KAsXfwlpeNv+/70fn5btfJSgijsKoVrTVlTcbP/fH6qQQHmNxiAb5/zij7cWp0CMlRvopMDOlxocSFy8qfEEII8d/yNeqhRms9F3gQKLH+elBrPUdr7XsTiRBCiBNq4eNryLx3OS9+cdRnXGdPHzvLmhkRHcLo5AhGJ0Wwr6LFLW51YY392FZaCZAaHczBmjbq27sBOFTTTn17N1dOS/O4527puGQOVLfxg9d2cKCqDaVgXm6C1/sLDfS3HydIKacQQghxUvla+QNAa71Ga/1b669PT8ZNCSGEcFViXY176IP9PuN+s+oQYKzsgZHYlTd1ucR0dPfx/Vd3AFD40FKX97ITjCYum4obAbjjjZ0A3L441+Pnzc8zEr0Pdlext7KFrPgwwoP8PcbafGd+NgAhXlYHhRBCCDE0Bk3+hBBCfLlsiZzN7vJmL5HgZx2Cbpudl50QxsGaNpo6euwxP3xth/14YFOWZRNTAKhv70Zrbe/8mRYT6vHzRkQ7+n/trWhhQmrUoM9zx+I87l6S5zLGQQghhBBDT5I/IYT4kryy6Rh7PZRkDrTe2n3zzsVGQvfezkqvsV29/QSYFKMSjZEM0zKMDp6rnMo8N5cYq3pvfW+O28/HhgZi8lPUtpmpbTNKP21NWjwJMPnxzbmZAFS1mJnu1A3Um5BAEz84N5d42ccnhBBCnFSS/AkhxJfgh6/t4P539nLRb79gV5n3lbyK5i5ufGkr0aEBfHdhNuNTIzlY0+Yx9oUvjvLyhmP09mv7OYWxEvijfzrGtgb5m7hm5kimZbgnan5+ivjwQOrauu3z+2Zn+x7H4Lx378ppaT5jhRBCCPHlkeRPCCFOsq6eft7b5Vi98zWL7187KgB4+JLxBPmbGJ0UycFqz8nfwx72A05JjwbA389IAnv6LNS3d5Mc6X1ca0JEELVt3ZRYk7+sQYarJ1hX8IID/Lx2+RRCCCHEl0+SPyGEOIHMvf1ue/QGWnu4DoCIYH/Ozo2nvKnTY1xbj+bxjw4SFmji4kkjABiTEkFtWzebjza6xY9JiQRcyzlte/L6LBpzbz81rcbMvxQfIxYSI4Kpbe3m3rf3DBrr/Llfmz7SZ5wQQgghvlyS/AkhxAmyoaiB/AdWkv/ASp9xe8pb8FOw/YEljE2JpKiunebOHre4D4qNcx09jmTyK5ONJPC9XRUusTtKmyisauWGORkeyzkBjtS2s8maNI5KCvd6fwnhQey3NnoB8Df5/qNiQloUr948i58sG+szTgghhBBfLkn+hBDiBGjq6OGaP220vy6ua/cYp7Xmd2uOEBJgIsDkx5ycOHr7NYdq3OO7+tx/PjEimCnp0RypdY2/7s+bAAjzMGbhl5dOAIwRD3srWggNNDFlZLTXZ7Fox57Bn118fAnd3Jx4Av3ljxQhhBDiVDZkf1IrpYKVUpuVUruUUvuUUg8OeP9/lFJaKRXvdO7HSqkjSqmDSqnzh+rehBDiRJvy8CqX1/sqWz3G2c7bVvPykoyunFtK3Ms4qzssANxz/miX86MSwimq67C/bu/us++1+56HzpxjUozPaDX3sWJvFdMyYlDWkRCedDqVrV43K8NrnBBCCCFOL0P517TdwDla60nAZGCpUmo2gFJqJLAEKLUFK6XGAlcD44ClwO+VUtI5QAhxyrNYHCtl189OB+CZTw57jL3ot18AcG5+ImDsyUuODGZfpevIh5bOXoqbLdx8dha3LRrl8l5OYjh1bd20dPUC8MGuSho7enj127OICA5w+0zbauD20iZqWru5YpCOnJdNSQXggYvGymqeEEIIMYwM2Z/q2mCrSwqw/rL9F9JvgB85vQa4BHhda92ttT4KHAFmDtX9CSHE8Wgz97J6f43PmDJrwxal4JGvGiWWpY2em7jY3L9sjP24utXMh3uq6emz2M898+lh+jRcNHGE28+OSjD26xVZS0uX76kiPMifOTmeRzKEWFcF/1BQhL+fYmaW71l8545JouTRZdw0L8tnnBBCCCFOL+6bQ04g68rdNmAU8KzWepNS6itAhdZ614Cyo1Rgo9Prcuu5gde8BbgFICkpiYKCgiG6+zNHe3u7/HMcRuT7PHHaezTf/9RI4v53RjBj4jwXI2yvMTbn/WRWMAUFBVySE8B7Rb2s/nSNfcTCQMf2bqF0QOnlOx8VkBRm/J3cF/u6yAjXNBXtpKDI9WfrreWgy9dupSLRn88PdzIq2o/PPvvM42d1O839y4tRHNyxiYODPLs48eTfzeFFvs/hQ77L4UW+T9+GNPnTWvcDk5VS0cA7SqmJwP3AeR7CPf0XknY7ofXzwPMA06dP1wsXLjxxN3yGKigoQP45Dh/yfZ443/nbVsBI/sJH5LBwTqbHuI0rDuDvV8xVFywgPMifsqAS3i3ax8QZc0iMcIxJ+MfWMmA3P7t4LIvOcqyq3auKeHTFAVLzJjIvN57tpU0cXLmec9MDPH6X5t5+7v18JbGpWUSnRQGb+cHSiSyc7Pb3ZXZ75/Xxh4IjfHVyKrnWfYbi5JJ/N4cX+T6HD/kuhxf5Pn07KZs5tNbNQAFGaWcWsEspVQKkAduVUskYK33OQ6LSgEqEEOJL8O7OCj7a5yj3fODdfS5lmc4Kq1rJT4kg3Lq3LjLE2He3oajBJe7vG48BcNlU1z13F01MAbDP+/twdxUA52e6798D7M1dXt5QQpG16+eMTN+lnOFB/txzfr4kfkIIIcQZbCi7fSZYV/xQSoUAi4EdWutErXWm1joTI+GbqrWuBt4DrlZKBSmlsoBcYPNQ3Z8Q4sz1xeF6Cqs8d+O0efiD/W7nSho63M69uaWMzw7VsbfCcb2ObqNb5u2v77SfK23oZFd5Cz9ZNoaoENekLjkyGJOfsu8drGoxkx0fRmKo7/+Lrmnt5ufv77dfQwghhBDCl6Fc+UsB1iildgNbgFVa6w+8BWut9wFvAvuBlcBt1rJRIYQ4Icy9/azYU8X1L2zigqc/9xkbGxYIQE5CGP+67SwASupdk7++fgs/emu3288uGZsE4NJYZV1RPQCLrF0+nfmb/EiJCqa8qQuAQzVtZMWHHe9jAeDnZW+hEEIIIYTNUHb73K21nqK1nqi1Hq+1fshDTKbWut7p9S+01jla69Fa6xVDdW9CiDPTL5YX8r1Xtttf28osPbENXf/tNVPJjAsF3Ff+yqzJGsBrN5dtiVgAACAASURBVM+2HydEBDEpLYotJY1UNBsx64saSIwIIttLUhcW6M+7OyupbTNzuLadKeneh7AD/OLS8fbj28/N9RkrhBBCCAEnac+fEEJ82bTW/M26585m8ZOeu2N29vTZj8eOiCQ6NJDYsECKal2Tvwff3wfAw18d7zZm4crpI9EaVu2rpt+i2VDUwJycOK/D1W1J4gufHwVgQZ77CqGzs3Li7ccT06J8xgohhBBCgCR/QohhoLOnz2szFptyp1W61XctACDHOi/PWW+/hWfXHAFgdrajbDMmNIA3tpZh7nVUo9uOL53i3mXzulnpBJr8qGo189a2curbu7lwQorX+/vj9dMAeG5tMVEhAYwdEenzeRIjg+zH545J8hkrhBBCCAGS/AkhTnNvbStn7E8/Iv8B35XitmYqN83LYlRiODMyY+jo7nOL+3BPFc+uMQbrPXXVFPv5bmtyaevg2dLVy66yFq6aPtLe5dOZUoqMuFAOVbfxz+3l5CaGc95Y70naWaPiyE4wSkJnZ8diGmQPX2ig8ZlXTR/pM04IIYQQwkaSPyHEaW3F3moALBp2lzd7jXtpXQkAN1hn9c3OjqOkodMtAbSNTpieEUNylKOD5qvfNvb0HahuA2BHaRNdvf18ZfIIr585bkQk64sa2FLSyLKJKV5LPsFIFm1dQM8aFe81ztmRX1zAry6bcFyxQgghhBCS/AkhTludPX32hC84wI9nPjnsMe7Pnxfz8X5jZl9KtJHQ2Uo+q1q6XGKL6jpIjgzmtVtmu5xPjwslOTKYI9bkcGdZM0r53m+XHBVCd58FreH8ccmDPk9Xj1FGOjfn+JI/f5OfdPkUQgghxHGT5E8Iccrp6bOw7kj9oHE7SpupbevmD9dN5dIpqWw91oTW2i3ukeWFAMwbFU+Ayfi/Pdueui0lTS6xB2vaGJ8aaY9zFhUSQHt3LwAbixsYmxJJRLDnQewAgf6Oa+QnDz5c/TdXTeYH54wiJ+HfG/MghBBCCHE8JPkTQpxyfrP6ENf9eRPbjjX5jLM1ZpmZFcuYlEiaO3vZVd7iEuNc1nnrwhz7cW5iOFEhAS6lom9uLeNIbTtjUzw3WwkLMtHe3Udfv4VdZS3MyIz1GGczwlo2+uBXxvks+bQZkxLJ3eeNPq5YIYQQQoh/l3uXAiGE+BJ9vK+aPxQYDVe2H2tiWkaM19j11uYrceFBzM42Ri18UljD5JGOGXkbixvsx5OdZucppRifGsneilb7uVc2lQJww9xMj58XFuRPq7mPQzXtdPX2u3yOJ1dOH0lwgImLJ3nfFyiEEEIIcbLIyp8Q4pRh7u3nlr9ts7/+xYeFXmNbzUb55S3zswHIS4ogMy6U4jrXWXw3/XUrAH/6xnR7h0yb8SOi2FPRQqu5lzZzL3srWrhtUQ5x4UF4EhUSwP7KFraUNAIMmvyZ/BRfnZI6aOdOIYQQQoiTQZI/IcSQq24xc8mz67jzjZ0+48oaO93O2YafD3S4xui6OdOp9HJEdIhLA5fefsfsv7Nz3ZuoLBidAMDKvdV8friefov22WlzTk4cvf2an71nDHfPiAv19ThCCCGEEKcUSf6EEEPKYtHMf3wNu8qaeWdHBS2dvV5jd5YZ+++euWYKH985H4DPD9V5jD1UY3TdHO3USCUpMpia1m77670Vxv6/X146geAAk9s1ZmXFEWjyo6iunb9tOEZooImp6d7LTM8b69qxU/bmCSGEEOJ0IsmfEOLf1m/RPLbyAG9sKR00dkNxAz19jhW436w+5DHO3NvPPf/cDUBqdDC5ieEkRQbxhYeun6v21/Djt/cQEeRPanSI/XxSZDC1bWYsFqPjp608c4mX4eomP0VCRBClDZ1sO9bEldPSPCaJNgkRjnLQd26d6zVOCCGEEOJUJA1fhBD/the+KOb31qYs5+QnuSRFA9nKM21sq3sD/W3DMftxQngwSikmpUWzv6rVLfbJVUYC+ejlE13m3KVEBdPbr3ljaxnXzExnY3Ej2fFhPu8vKTLIPij+3DGek0Rn912YT6DJjyk+VgiFEEIIIU5FsvInhACgrq2bzHuXM/dXn3iclefs2TVF9uP1Rb7n8e0oayYkwMSen5/HFdPSqPSyh6/N7CgHTbfupctPjqCkvgNzb7/9veoWM4VVrZw/LollE1NcrnHBBKMs8+UNx+jtt7CxuIF5Hvb6Oevtdzzr3Jw4n7EAt8zP4ZtnZQ0aJ4QQQghxqpHkTwgBwHOfGQldZYuZuvZur3HbS5to6XIkare/vtNnsri1pIlzxiQSERxAVnwYtW3dLrP3ALTWPPOpMbPvsSsm2s+PHRGJRUOh0+rfv3ZWAHjcm5cYEcw1M9MprGrl9c2ldPYMPo6hz+K4d38Pg92FEEIIIYYL+S8dIQSdPX38dUOJ/fXB6javsdf+aSMAwQGO//s4WOM5/lcfFlLR3MV066y+9FhjRe9Yg2tXT1sp6LSMGL42faT9vK20cnupo1R0V1kzKVHBfGdBDp4ZydwD7xodOcenRnl9FoBHvjoOgO8syPYZJ4QQQghxupPkTwhBWWMXvf2an140FoCvv7DZa6y512jecu/SfP5+0ywAVu+vcYurbTPz3NpiAKZnGOMY4q3z867780aX2BteND7vz9+Y7nI+KTKYuLBAl32DR2rbfSZ0AU6rdzMzY8lLivAaCzAtI5aSR5fx4wvG+IwTQgghhDjdSfInhODB941VsrykCGz9U5z32dlorUmNDiE6NICvz8lkXm48SsETHx9yK/18+APHgPYJaUayFhZkdNJschr3UFzXTqu5jynp0cSEBbp9Znx4EE2dPQDUtpopqmtnTEqk12cZN8Lx3tUzR3qNE0IIIYQ400jyJ8QZrrffwvqiBsAou3z8ikmA0VhloEt/v56K5i5umZ+NyZol2nK+8ibXRi4N1n2Df3JazXNO2vqsA9j3Vhr7+R69bCKeBAea+GhfDRaLZuuxJiwaFuQleH0e57LRc/ITvcYJIYQQQpxpJPkTYphq7+5j27FGVuyp8hm37VgTAGfnxhMSaCIu3Fh9K2ty3ZfXb9H2vXnOCZaNbXXOpq6tm6Xjkl1m7AWY/HjqqskAFFYZpZxbjjYSaPIjw9rhc6AEa6locX07L60vITU6hPGp3lf+lFIkWkc7RIe6ryQKIYQQQpypJPkTYpi6963dXP6HDXzvle20Oo1RGGjV/hoCTIo/XD8NgBHWoem//PCAS1xNq7ES+MtLJ9j37gG8fONMAA7VtNvPvb29nMO17R7LOG178CqajeRyxd4qzh+f7HW4+q2LjMYui59cy+GaNhaOTiDI3/sgdoAPbz+bVXfO9xkjhBBCCHGmkeRPiGFIa81ypxW/4roOj3HVLWZeXHeU2dlxhAf5A0ZylpcUTk2r2WUf39F64xoDV+jmjYonKiSAHaXGCmJLVy93vbkLgCVj3csuY60J4fu7qihv6qS+vYcJPlbyRjs1bGnq7LUnp77EhweRO0ijFyGEEEKIM40kf0KcRt7YUsqCx9d4bMbirKGjB62xl1wecJqT52zV/mq0hv9dmu9y/sazsmjs6HGUZpY08trmUgJMyqWhCoCfnyIrPoySBiM53FvRAsBzX5/GOflJDBQTFgDA8j1VzPv1GgByE70namFB/pztNKg9OTLY+4MLIYQQQgivJPkT4jTyv2/t4VhDJ197boPPuBLrKt3VM0YSHx7IH6wD3AdaVVjLyNgQt4RurPV1RXMX5t5+rvzjBj7YXcW8UfEe99FlxoVSUm+Ucf7gtR0A5Cd7Tug8lWzOyo71+TxpMY7VxrEjvK8SCiGEEEII7yT5E+JLdPPLW8m8dzn7Kz2vzDmrbXN039xd3sL6I/VeY20lmjkJ4QT5mzjW0Gk/Z3O4po21h+q4cEIKSimX92yra7vKmjngNPD9rFHxeJIZH0Zli5EoNnYYjV98lWdeOS3Nfvz01ZMJDfT3GgvQ2mXsWXziykk+xzwIIYQQQgjvJPkT4gTr7bdgsehB4z4prGGVdTj6hc987jYnb6CB+/ae+Pigx7gjTf18tK8afz9FWkwIP1lmDC9f9ESBS9zvC4oIDTRx/awMt2skRgaTFR/GrvJmthxttJ+fkh7t8TOz4sPQGlburQbg7iV5LsPWB7pmVrrjmiNjvMbZ/GjpaC6fmsZFE1MGjRVCCCGEEJ5J8ifECbbgsTVc8uy6QeM+2lft8vqhD/b7jLclfy99awZgNFbx5JFNZlYX1hIbFoi/yY9zx7jvuwPYfLSRhaMTGBnrecTC0foOPj9cz0vrS8hPjmDtPYuYluG5PHNhntHY5f539gCwdHyyz2eZlBZNXFggM7NiSYsZvIFLRlwY//e1SV47ggohhBBCiMFJ8ifECdTS2Utli5k9FS28saXUZ+ybW8tdXv9lXYnX1b9PCmu4z5pYTcuI4Y7FuRTVddDZ0+f2+Ta1bcaQ9UB/P/toBlujmOoWMxXNXV6TOYBlE4xVtormLgJMfqR7mcMHEBVqNHHp6OknyN9v0E6bJj/FtgeW8OZ35uDnp3zGCiGEEEKIE0OSPyFOoAVPrLEfP/i+95W8fqey0KO/upCx1n1sde3dbrHNnT3c9Net9tcRwQEkRhh78hraXQerryty7AO8dEqq/fiBi4zSz9JGoynLw8uNe5uZ6T35u3NJrv34m3MzvcYNNMPHNYUQQgghxJdHkj8hTqBmp5W3zp5+qlvMHuM2FjfYj5VS3LZoFIC9WYpNb7+FyQ+tAoyxDZ/dsxAAf5OxWnbHGzvtsU0dPdz6ynYAtty/mCeunGR/b9yIKAA+3leN1pp11mYx433M17N12AwwKS53atDizTPXTGHJ2CSevXbqoLFCCCGEEOLkk+RPiCGQnRAGwMq9VR7fv+mvWwDsyZxt8Pm/dlS6xNW1OVYCf335RDLijOt29Rjlm9uONdnff2l9CQBfywsgISIIk1M55ajEcLLjw9he2szrW8po7uzl0impbl0+nQUHmPjVZRNY/sOzB31egK9MGsGfvjHdXgIqhBBCCCFOLZL8CTEIc28/X3tuA1f+cb3PLp6fHjA6d35vYQ6f3LWAMSmRvLLJfd+fxaIx91oAx+ra9Eyj42VNq+tK4VvbjH2Bf/nmDHuCCHDldGMlLi8p3H5u09EGxqZEcmG2+xw+gOjQAD49UMsnhbUA3DQvy8dTG66ZmU7eIPv3hBBCCCHE6UGSP3FGOlDdal89G8zVz29k89FGtpQ0sfZwnde4v6wrAeDms7NRSnHZlFQO17a7lX5+/cVNgFEmaVudCzD5MW9UPIVVjnl/Wmve3lFBbmI4c3LiXK4RGujP12dnUNlsxtzbz9H6DjYWN5IYGeT1/raXNgOwutBIUsenRh3X8wshhBBCiOFBkj9xximsamXpU58z5qcraTN7Hpdg09Hdx86yZvvr3eUtHuMsFs3O0maun51uX6EbO8LYT3eswTGfr727j3VHjP1+c7JdE7pxIyI5UN3GoRpjqPrh2naO1ndww9xMjyMOpmfG0N7dR2ljp30P32IvYx2EEEIIIYSQ5E+ccfY4JXBvbCnzGfv4R66D1J9cdcjjOIZjjZ20dfcxwWk1LS7cSAKdE8aKpi7H+2Gu5ZlXTh8JwF/WHQXg6dWHUQrOG+s5oYsONX6+zdxLcV0HIQEmrp2Z7jEWjNJRmx9fkO81TgghhBBCDE+S/IlhQWvNnW/sZOXe6kFj1xystR8X1bX7jD1ca6zC7f75eYy27n0b2JHzSG0bi54oAGBCarT9fEqkMbz8/d2OJi6fHTI++4krJ7nNtxuVGE5sWCCtZmN23+aSRmZmxpIYGezx3iKD/QFjfMOL646SFR/mc2beovxE+7HzGAghhBBCCHFmkORPnPY6uvvI+vGHvLOjgu/+fZvLDD1PPj9cz3Wz0slOCLMnWt6uu+5IA1dMSyMyOID7lxmz8naUNrvE/W3DMftxrlMDlqjQAJIjg4mxrtD19lt4dVMpk0ZGc4WX0QkjY0JoN/fR0N5NXVs3S7ys+gFEhhhdNTcVNwJw4YRkX48NwB2Lc5mZGUtChPe9gUIIIYQQYniS5E+c9mwjDmzWOw06H6izp4/27j5GRIdQ19bN8t2eRzEAPPDuXgCmpBureXNy4ggwKbaVNrnE2Qan37k4jwCT679SWfFhdPYYCebeihZKGjq5duZIr5/Z06/57FAd0x5ZDcDEtGivsemxoQT5+/G6tXT1ggkpXmNt7licx5vfneNzxIMQQgghhBieJPkTp71V+43ulV+dPAKA/ZWtbjFaa/r6Ldz95i4AIoL9abOu+jV39rjFd/X08/b2CgCWWZOqAJMfI2NCXRq4FNW1s+ZgHRFB/ty+ONftOoH+fmwpaaKlq9e+YrggL9Etzsa52yfADOsICE8CTH4sm+hI+LLjw7zGCiGEEEIIIcmfOK1ZLJpDNW18c24mT109BYBfrTjgFvfQB/sZdf8KVlj3BM7NieNnF48F4LND7uMbHl6+HzD21UWFOIaWJ0YGuQxe324dsv7jC8d4vD/btSc9+DFbShpJjQ4hOcrzHj6Ay5z24k1IjRp0he6e80cDRpIpq3lCCCGEEMIXSf7Ef2VLSSOrrStvJ9K7OytY+tRaNhQ1+Iwra+qks6ef/GSjGcukNKPb5sBh6bYZfDajEiO4fnYGgSY//rWjwuW993ZV8qp1OPsndy90Sariw4Oodrr2/qpWggP8uGqG51LOhaMT7Mcr9lazwOm1J49ePpHVd83nT9+Yzmu3zPYZC5ASFcLaexbx+Y8WDRorhBBCCCHObJL8if/YM58c5so/buDbL2+lzLrvzZfuvn7ufnMXf/682Gdcq7mX21/fyYHqNq7500bue2cP5l7PA9mX7zH27OWnGDP1HrjIWM3bM2Ae36SRjr1zO3+6BDDKJi+flsbaw/W0dxsloH39Fn742g4A3r3tLLfGKFPSYyhr7OJovVH6ue1YExNTo+3D2gd69tqpLq/n58b7fPZAfz9GJUawZGwS4UH+PmNt0uNCSfLSEVQIIYQQQggbSf7Ef+zJVYfsx87jE7x5fOVB3tpeziPLC132zQ00cM/eq5tK+X1BkVtcWWMnj608SEpUsH3Fb+yISPwU7K5wTf7azL1kxIWy/t5z7PPxAC6amEK/RbOlxOiYuc660hgR5O+SMNrYOmp+uKeK9u4+9la0MDsnzi3OJizIn8evmGh/PSfbd/InhBBCCCHEUJHkT7jo7bfw6YEaLIOMSwAICTBx/ex0/P0UVS1mn7EFB2v58xdHOX+cMbrgAx9dNm2z9248K4uZWbEAHK5pc4uz7ae7ddEoe2lmaKA/uYkR7Cl3jGOoaumiuK6DCyekMCI6xOUaU9NjCDApNh81kj/bqt9bt871eG8pUSHkJ0fw+EcH2V/ZikXD5JFRHmNtzh1jPPN3FmQTFRrgM1YIIYQQQoihMmTJn1IqWCm1WSm1Sym1Tyn1oPX840qpA0qp3Uqpd5RS0U4/82Ol1BGl1EGl1PlDdW9nmsHm3tk8ueoQufev4MaXtvLKpmM+Y7v7+unq7Sc5Mpi48EDqnZqgDFTX1s3//GMXo5MiePrqKaRGh3DIQzIHcKyhg/vfMUYs3HP+aN78zhxmZMbQ5KEj5x8/KyIjLpRrBuy3m5AWxZ6KFrQ2nvuldSUoBZdPdZ+tFxJocungaSvzzE0Md4u1OVBt3PsznxwGYGyK7+QvNiyQzfedy71L833GCSGEEEIIMZSGcuWvGzhHaz0JmAwsVUrNBlYB47XWE4FDwI8BlFJjgauBccBS4PdKKdMQ3t8Z4dVNpeTc96G9gYkvtmQG4B/byn3GHq4xVudSokJIjw3liHW1biCLRfM//9hFm7mP3147heAAE/HhgTR19nqM/8dWx+eGBBpff3RoIM0D4ssaOylv6uLrszPwHzBbLzcxnPr2Hjp6+tFa8+qmUhbkJTDKS0I3IjqEimZj5bKpo4drZo48rs6ZXxypZ0RUMEmRgw9MT4wMlm6cQgghhBDiSzVkyZ822DKCAOsvrbX+WGvdZz2/EbAtx1wCvK617tZaHwWOADOH6v5OZ0dq2/jhazs8lkIOVGDdi/fkqoM+45wbqpj8FLvLW1jrYQSCzWMfGdcbnRzBtIxY9la00NXj3pTlxXVH+exQHT+5aCx5SUZHzl3Wazd2uK7mdfX087s1RwC4dla6/Xx0SIBb8mfrAjo/z717Zniw0SilpauXiuYu2rr7OCff+2y9pMhgdpU109jRQ0NHDxlxvuflXTbVMY6hp98iSZ0QQgghhDgtHF87wf+QdeVuGzAKeFZrvWlAyI3AG9bjVIxk0Kbcem7gNW8BbgFISkqioKDgBN/1qa2jV3PbJ0Znzfd2VfLSUt+Jysf7jXLG+vYeXn7vE9Ij3RdT29vbueW51QBMSzJxRW4gP/6ii4ff3sr9s0Pc4i1as/5wJ6H+UH94B8FtffT2a156v4AxcY7rN3RZ+NXaLqYmmkjrKqag4KjLdf7ywVqmJTl+C+6uM/5O4KLsAM6LabB/t20NPTS097p8169uM1bqju3bSmWha/J1rNK4zpInPuWqfKO5i199MQUFJR7/GXU2GUno1IdXAeDfVEJBQZnHWICzIy28bT2ODeg75X4Ptre3n3L3JP4z8l0OL/J9Di/yfQ4f8l0OL/J9+jakyZ/Wuh+YbN3X945SarzWei+AUup+oA94xRruafnEbbOa1vp54HmA6dOn64ULFw7FrZ+yHnp/P+BIonw9/982HgP22l/XBKXyjYXu+85Wf7qGteVGQvnczYuIDw9ia+cuNhTVe7z+nz8vpk8X8uilk1g4LY1p5l6e3bWK1rBUFjpd/50d5fTrXTxy9VzGjoi0n1+Z38rSpz4nMX0UC+dk2s/v+eQwcIhfXL/IpTHKfo6wsuQgqWOmkZsUwYaiBnau3Ii/n2LJOe7z7dp2VcLuHXT2QUBsGoH+JVyzbJHXcQw5EztZ8dga++ubLjnH52pev0VT0LyT/ORIrpyeRnz44GWfJ1NBQYHP3xfi9CHf5fAi3+fwIt/n8CHf5fAi36dvQ5r82Witm5VSBRh7+fYqpW4ALgLO1bauHMZKn3PnjjSg8mTc3+nkxXVHBw+yeuBfRuI3PSOGmLBA3thSxl1LRrslQcdaLQDMyIyxJzLx4YHUd/SgtXZJhMoaO/nlh4UAnGft3BkRHEBOQjgHq13LUHeUNhMWaGK0dQC7TW5iBH4KKp06hJY1dvJ/qw6RHBns1hFzTLKROO6vaiU0yJ9r/mQsED97nesMPRvn5yuuayczLtRr4geQGh1CfHgQ9e3dzBsVP2gZp8lP8fTVU3zGCCGEEEIIcaoZym6fCbZOnkqpEGAxcEAptRT4X+ArWmvnyeDvAVcrpYKUUllALrB5qO7vVPLkqkNk3rucwqpWn3E9fRb78Y+Wjgbgi8P1HmNbzY49cldMS2PxmETq23uoaOpyi61sN67768sd8+hyEsPp6bOw3rq3DozmLV/53RdYNDx2+UQigwNc4o/UOpq+aK3ZUNTApJHuA9BNfoop6TEUHHTsKfx9wRGX53Jma9Ry++s7qWx23P95Y5M8PvvSccn4+ymUgtWFtYMOQPfzU3xzbgYAN87L9BkrhBBCCCHE6Woou32mAGuUUruBLcAqrfUHwO+ACGCVUmqnUuqPAFrrfcCbwH5gJXCbtWx02LN12bzg6c99ztezJT6/vnyCPfG6/oWB2ygNhdZB6dfMTOeqGSNJjzX2BpY1dbrEmXv72VjVR6DJj/TYUPv5CyekANiHnwNsL22iqbOXBXkJLk1PAEYlhFPW1GlvHHOwpo3Dte1cYL3OQBeMT6awqpVjDR30WzQr9lazaHQCl3kYxxAe5Fig/r21IczKO872ukLn56fQgG1NubXLc2dRZ99ZkMPrt8xm0WjvjWGEEEIIIYQ4nQ1lt8/dWuspWuuJWuvxWuuHrOdHaa1Haq0nW3991+lnfqG1ztFaj9ZarxiqextqbeZenvusiG/9ZfCFy9o21+Ho+yq9r/7d/PJWAOLCgpiTE+fzuraumXcuzkUpRWyY0fjkjjd2usQ9/MF+9jVY6NfaZWRCeJA/oYEm2s199nNrD9fjp+CZq6e4jVcYlRiO1lBcZzSY+WhvDX4KzveyOrfEen7t4Xo+2ldNc2evPeEcKCLYkfytsa4WJkX4Xs27/8Ix9uPnvzHdZyxAgMmP2dlx0rlTCCGEEEIMW0O58ndGslg08x9bw69WHGDNwToa2r0PPweY9ctPADh/XBJ+CpbvqfIY12bu5bC1rDI7IYychHDuWJyLUq5jGgAqmrv4/HA9N5+dRaK15DEyxEig6tq6XcpHvzhilI3etSTP7TM7e/p5aX2JI/ZwHRPTot325IGjNNM2729/VQuZcWH2zx9oZEwoASZFeVMnt76yHcClKYwzf5Mff73RdepHtId7cHbjvCxumJPBnYvzBi37FEIIIYQQ4kwgyd8JVtbU6TLAfOuxJq+xbeZee2nidxfkkBoTQk2r2WPs/761G4BxIyLJTjASrewEY7WtpKHDJfb9XUafnAV5jhLGCKf9ebbSzyO17Rxr6GRpZgC3Lszx+Ll9Fk1lcxdFde3sLGtmfm68x7is+DD8lHFNc28/6440MD0zxuuz+/kpEiOCee6zYvs52xxATxbkJdhXABeNTjiuFboHLxnP7YtzB40TQgghhBDiTCDJ3wlW1+a60rfNS/JXVNfOhJ9/bH89JiWShPAgvjhSj6MBqqGwqpUP91QDuAwrT4sxZvB9eqDWfq6ssZNHVxwAIC853H4+LNDE1PRoAI5aSzPve2cPADNTTB6TqUcvmwDA61vKeHLVIcKD/Ll+TobH5wkOMGHRxv7FlXurae/u45LJbmMaXbQ47cXbdN+5BJh8/3Zss5ag3n2ee1MYIYQQQgghhG+S/J1gzqt+OQlh6pCyUwAADMlJREFULg1TnNn2xgHcd2E+wQEmZmXHUdfWTUWza0fO21/fARirft9zWqHLjDOauPxrR4X93KubS1EK1vzPQhKd9sUppfj9ddMAqGkzY+7tZ/PRRvwUZEe5D34HuHpmOnOy4/j0QA27y5uZn5fgck1v7nhjJwkRQczO9r0vMcDkSDiPpzTzimlGM5j0uNBBIoUQQgghhBADSfJ3gjV19gBw+7m5nDcumR2lzS5jF2z2VrQAsOrO+dwy30jolo5LBmB3eYs9rt+iKa7rIDTQxD+/O5fQQEfzk9iwQOLCAu2dPC0WzT+3lXNufhJZ8WFun2krm+zo7rN//h2L3ff6ORsRHcLeilbKGrsY7aMs07iWo8Ty/HFJPmfrAQT5G0nnY04jJnz59eUT+fxHi1xGTAghhBBCCCGOjyR/J9ic7Dievnoy31uYY1/5mvjzj+nrdzRZMff287R1vEOmU5KWnxJBgEmxq7zZfu65tUX0WTQXTUwhJNB9hS4rPozOHqMccndFC3Vt3Vw00XPXzNBAE0rB29sruOKPGwC4dIrv0kzne5lsLRv15sZ5WfbjjFj35HOgQH/jt5+vvYHOTH6KkbGy6ieEEEIIIcR/QpK/E2xkbCiXTE4lOMDk0hxll9Nq3tvbHWWazvvcgvxN5CSEU2Tt6mnu7eexlQcBuHXhKI+fFxbkT0e3kfy9tqkUP2U0R/FEKYUCDlS3AZASFWzfN+jN/cscIxPmjfLc7MUmMjiAzfedy7KJKXxtxkifsQA/vWgsCRFBjIj2fQ9CCCGEEEKI/54kf0NIKcUr354FwFvby+3n/7bxGH4KPvjBPLefiQwJYHVhLQer23hvp9G18+zceJcVQmfRoQFUtpjp6bPwxtYychMjiLHO9PMc73hvzf8sHLRr5uwsY/Xy8qlpx9VhMzEymGevnUpUyOClmYvHJrHl/sUEB3jecyiEEEIIIYQ4cST5G2JnjYonNTqEskZjvMLWkkYKq1r5xpxMxqdGucVfON7Y9/fnz4vZUWZ0Cv3NVZO9Xn/eqHjq2rp5avUhAK6cnubzfq6dmQ5AbmL4cSVdIYEm1t17Dr++fMKgsUIIIYQQQohTlyR/J8HMrFiOWEs539hSBsDiMUkeY6+2Jmf/2FbOlpImFuQlEB8e5PXaV0xLIyMulN8XFAEw30vJp81N87K4ZPII3vjOnOO+/9ToEPwHGcMghBBCCCGEOLXJf9GfBKMSw6lqMdPe3UebuY+MuFDmeRmW7rwad6S2nWkZvpuhKKVItzZBmZ+X4HNQOkBMWCBPXz2FWB+loUIIIYQQQojhR5K/k8A2IuGRD/azp6KFMcmRPuOf+/o0+/HI2MGboXx+uB6ANg8jJYQQQgghhBACJPk7KRblJ3LjWVm8sbWMiuYuFoz2XZp53lhHSeiCvMRBr3/fhfkA3LXE98w+IYQQQgghxJnLf/AQ8d8y+Sl+evFYlk1M4V87KrzO4bNRSnHvBfmkRAUfV3nmLfNz7IPihRBCCCGEEMITSf5OomkZMYPu4bP57gJJ5oQQQgghhBAnjpR9CiGEEEIIIcQZQJI/IYQQQgghhDgDSPInhBBCCCGEEGcASf6EEEIIIYQQ4gwgyZ8QQgghhBBCnAEk+RNCCCGEEEKIM4Akf0IIIYQQQghxBpDkTwghhBBCCCHOAJL8CSGEEEIIIcQZQJI/IYQQQgghhDgDSPInhBBCCCH+v717DbWsrOM4/v3p8TpmF80YU9NAAzNNm0xK0ixvRJmI5iUS9EWCgUYgThlh9kItQsIXJaUIlZpmVGiKhmRqVN4dL+UlL6ODk4mMjqSO8+/Fek5tj3OOs4/T7NXe3w8sznOetdbDs/mxz9n/vZ69tqQJYPEnSZIkSRPA4k+SJEmSJkCqatRzmLck/wAeG/U8xsDWwDOjnoTWGfMcH2Y5XsxzvJjn+DDL8TKJeb6nqt65Ngf+Xxd/WjeS3FpVi0Y9D60b5jk+zHK8mOd4Mc/xYZbjxTzn5rJPSZIkSZoAFn+SJEmSNAEs/gRwwagnoHXKPMeHWY4X8xwv5jk+zHK8mOcc/MyfJEmSJE0Ar/xJkiRJ0gSw+BtDSS5MsjzJkoG+PZL8Mck9SX6TZMuBfbu3ffe2/Zsm2TzJVUkeaP1nj+bRaJg8kxyX5M6BbXWSD5pnfwyZ50ZJLm799ydZ3PrNsweGzHLjJBe1/ruS7N/6zbInkmyf5Ib2XLs3ySmt/x1JrkvyYPv59oFzFid5KMlfkxzc+sx0xIbNMslW7fgXkpw/MI5Z9sA88jwwyW3t7+1tSQ5o/eYJUFVuY7YBHwf2ApYM9P0F2K+1TwDOau0p4G5gj/b7VsCGwObAJ1rfxsAfgENH/dgmcRsmzxnnfQB4pLXNsyfbkM/PY4FLBzJ8FNjRPPuxDZnlycBFrb0NcBvdG7Bm2ZMNWAjs1dpvAf4G7AqcC5ze+k8HzmntXYG7gE2AnYCH/f/Zj20eWS4A9gVOAs4fGMcse7DNI889gW1bezfgSfP87+aVvzFUVTcCz87ofh9wY2tfBxzR2gcBd1fVXe3cf1bVq1X1YlXd0PpeBm4HtvufT16vM2Seg44BLmljmGdPDJlnAQuSTAGbAS8DK8yzH4bMclfgd+285cBzwCKz7I+qWlZVt7f288D9wLuBw4CL22EXA59r7cPo3px5qar+DjwE7G2mozdsllW1sqpuAv41Yxyz7IF55HlHVT3V+u8FNk2yiXl2LP4mxxLgs619JLB9a+8CVJJrk9ye5LSZJyZ5G/AZ2gsX9cJseQ76PK34G2SevTRbnlcAK4FlwOPAd6vqNcWGefbObFneBRyWZCrJTsCHmPG8Ncv+SLIj3dWDPwHvqqpl0L0IpbtyC92LzycGTlva+gbHMdMRW8ss12Ycs+yBeeR5BHBHVb00Y5yJzdPib3KcAJyc5Da6S+Yvt/4puqUOx7Wfhyf55PRJ7YrDJcD3q+qR9TtlzWG2PAFI8hHgxapaMqPfPPtptjz3Bl4FtqVbVvbVJO+dPsk8e2m2LC+kKw5uBc4DbgFWTZ9klv2RZAvgF8CpVbVirkPX0PefW6ib6egNkeUbjWOWPTBsnkneD5wDfGlG/0TnOTXqCWj9qKoH6JZ4kmQX4NNt11Lg91X1TNt3Nd1nWKbfCbkAeLCqzlu/M9Zc5shz2tGs4aof5tlLc+R5LHBNVb0CLE9yM7AImP5nZZ49M1uWVbUK+Mr0cUluAR4cONUseyDJRnQvLn9aVVe27qeTLKyqZUkWAstb/1Jee/V2O+Cpgd/NdISGzPKNmOWIDZtnku2AXwJfrKqHZww30Xl65W9CJNmm/dwAOAP4Qdt1LbB7uwPSFLAfcF879tvAW4FT1/+MNZc58pzuOxK4dMY55tlTc+T5OHBAOguAfYAH2rHm2UOzZdn+xi5o7QOBVVXl39oeSRLgx8D9VfW9gV2/Bo5v7eOBXw30H51kk7aUd2fgz20sMx2heWQ511hmOWLD5tmWdF4FLK6qm2eMNfF5+iXvYyjJJcD+wNbA08A3gS3o7jYHcCXdE6La8V8AFtMtV7m6qk5r75g8QfdCc3qd9PlV9aP19TjUmUee+wNnV9U+A2OYZ08Mk2db4nIR3c1CQne3yO+YZz8MmeWOdG+2rQaeBE6sqsfMsj+S7Et397976HIC+BrdZ4t+DuxA94bMkdOfvU3ydbqlvqvolqL91kxHb55ZPgpsSXcXyOforuCvwCxHbtg8k5xB97p2cHXFQXTZTnyeFn+SJEmSNAFc9ilJkiRJE8DiT5IkSZImgMWfJEmSJE0Aiz9JkiRJmgAWf5IkSZI0ASz+JEmaoX234k1JDh3oOyrJNaOclyRJb4Zf9SBJ0hok2Q24HNgT2BC4Ezikqh5+E2NOVdWqdTRFSZKGYvEnSdIskpwLrAQWAM9X1VlJjqf7IveNgVuAL1fV6iQXAHsBmwGXVdW32hhLgR8ChwDnVdXlI3gokiQxNeoJSJLUY2cCtwMvA4va1cDDgY9W1apW8B0N/Aw4vaqeTTIF3JDkiqq6r42zsqo+NooHIEnSNIs/SZJmUVUrk1wGvFBVLyX5FPBh4NYk0F3le6IdfkySE+n+t24L7ApMF3+Xrd+ZS5L0ehZ/kiTNbXXbAAJcWFXfGDwgyc7AKcDeVfVckp8Amw4csnK9zFSSpDl4t09Jktbe9cBRSbYGSLJVkh2ALYHngRVJFgIHj3COkiStkVf+JElaS1V1T5IzgeuTbAC8ApwE3Eq3xHMJ8Ahw8+hmKUnSmnm3T0mSJEmaAC77lCRJkqQJYPEnSZIkSRPA4k+SJEmSJoDFnyRJkiRNAIs/SZIkSZoAFn+SJEmSNAEs/iRJkiRpAlj8SZIkSdIE+DdeYbitzq/OowAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 1080x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Visualizar el conjunto de datos\n",
     "plt.figure(figsize=(15, 6))\n",
@@ -597,22 +170,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1080x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Visualizar el conjunto de datos\n",
     "plt.figure(figsize=(15, 6))\n",