diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb
index a35162509ffafcda2fa857057f319b54ecee320c..f9e85ea5d4746f43d230c66f7d40e522b48b167b 100644
--- a/module3/exo3/exercice.ipynb
+++ b/module3/exo3/exercice.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 409,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,233 +35,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 410,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(756, 10)\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
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-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>Excel</th>\n",
-       "      <th></th>\n",
-       "      <th>[ppm]</th>\n",
-       "      <th>[ppm]</th>\n",
-       "      <th>[ppm]</th>\n",
-       "      <th>[ppm]</th>\n",
-       "      <th>[ppm]</th>\n",
-       "      <th>[ppm].1</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>1</td>\n",
-       "      <td>21200</td>\n",
-       "      <td>1958.0411</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>2</td>\n",
-       "      <td>21231</td>\n",
-       "      <td>1958.1260</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>3</td>\n",
-       "      <td>21259</td>\n",
-       "      <td>1958.2027</td>\n",
-       "      <td>315.70</td>\n",
-       "      <td>314.44</td>\n",
-       "      <td>316.19</td>\n",
-       "      <td>314.91</td>\n",
-       "      <td>315.70</td>\n",
-       "      <td>314.44</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>4</td>\n",
-       "      <td>21290</td>\n",
-       "      <td>1958.2877</td>\n",
-       "      <td>317.45</td>\n",
-       "      <td>315.16</td>\n",
-       "      <td>317.30</td>\n",
-       "      <td>314.99</td>\n",
-       "      <td>317.45</td>\n",
-       "      <td>315.16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>5</td>\n",
-       "      <td>21320</td>\n",
-       "      <td>1958.3699</td>\n",
-       "      <td>317.51</td>\n",
-       "      <td>314.71</td>\n",
-       "      <td>317.86</td>\n",
-       "      <td>315.06</td>\n",
-       "      <td>317.51</td>\n",
-       "      <td>314.71</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>751</th>\n",
-       "      <td>2020</td>\n",
-       "      <td>8</td>\n",
-       "      <td>44058</td>\n",
-       "      <td>2020.6230</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>752</th>\n",
-       "      <td>2020</td>\n",
-       "      <td>9</td>\n",
-       "      <td>44089</td>\n",
-       "      <td>2020.7077</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>753</th>\n",
-       "      <td>2020</td>\n",
-       "      <td>10</td>\n",
-       "      <td>44119</td>\n",
-       "      <td>2020.7896</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>754</th>\n",
-       "      <td>2020</td>\n",
-       "      <td>11</td>\n",
-       "      <td>44150</td>\n",
-       "      <td>2020.8743</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>755</th>\n",
-       "      <td>2020</td>\n",
-       "      <td>12</td>\n",
-       "      <td>44180</td>\n",
-       "      <td>2020.9563</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>756 rows × 10 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                   Excel                 [ppm]      [ppm]         [ppm]  \\\n",
-       "0    1958    1     21200   1958.0411    -99.99      -99.99       -99.99   \n",
-       "1    1958    2     21231   1958.1260    -99.99      -99.99       -99.99   \n",
-       "2    1958    3     21259   1958.2027    315.70      314.44       316.19   \n",
-       "3    1958    4     21290   1958.2877    317.45      315.16       317.30   \n",
-       "4    1958    5     21320   1958.3699    317.51      314.71       317.86   \n",
-       "..    ...  ...       ...         ...       ...         ...          ...   \n",
-       "751  2020    8     44058   2020.6230    -99.99      -99.99       -99.99   \n",
-       "752  2020    9     44089   2020.7077    -99.99      -99.99       -99.99   \n",
-       "753  2020   10     44119   2020.7896    -99.99      -99.99       -99.99   \n",
-       "754  2020   11     44150   2020.8743    -99.99      -99.99       -99.99   \n",
-       "755  2020   12     44180   2020.9563    -99.99      -99.99       -99.99   \n",
-       "\n",
-       "         [ppm]         [ppm]      [ppm].1  \n",
-       "0       -99.99        -99.99       -99.99  \n",
-       "1       -99.99        -99.99       -99.99  \n",
-       "2       314.91        315.70       314.44  \n",
-       "3       314.99        317.45       315.16  \n",
-       "4       315.06        317.51       314.71  \n",
-       "..         ...           ...          ...  \n",
-       "751     -99.99        -99.99       -99.99  \n",
-       "752     -99.99        -99.99       -99.99  \n",
-       "753     -99.99        -99.99       -99.99  \n",
-       "754     -99.99        -99.99       -99.99  \n",
-       "755     -99.99        -99.99       -99.99  \n",
-       "\n",
-       "[756 rows x 10 columns]"
-      ]
-     },
-     "execution_count": 410,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "try:\n",
     "    raw_data = pd.read_csv(\"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/\"\n",
@@ -289,19 +65,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 411,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Index(['    ', '   ', '   Excel', '          ', '   [ppm]', '    [ppm] ',\n",
-      "       '      [ppm]', '    [ppm]', '       [ppm]', '    [ppm].1'],\n",
-      "      dtype='object')\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "raw_data_1 = raw_data.copy()\n",
     "print(raw_data.columns)\n",
@@ -310,126 +76,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 412,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <th>Yr</th>\n",
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-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>1</td>\n",
-       "      <td>21200</td>\n",
-       "      <td>1958.0411</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
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-       "      <td>-99.99</td>\n",
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-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>2</td>\n",
-       "      <td>21231</td>\n",
-       "      <td>1958.1260</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "      <td>-99.99</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>3</td>\n",
-       "      <td>21259</td>\n",
-       "      <td>1958.2027</td>\n",
-       "      <td>315.70</td>\n",
-       "      <td>314.44</td>\n",
-       "      <td>316.19</td>\n",
-       "      <td>314.91</td>\n",
-       "      <td>315.70</td>\n",
-       "      <td>314.44</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>4</td>\n",
-       "      <td>21290</td>\n",
-       "      <td>1958.2877</td>\n",
-       "      <td>317.45</td>\n",
-       "      <td>315.16</td>\n",
-       "      <td>317.30</td>\n",
-       "      <td>314.99</td>\n",
-       "      <td>317.45</td>\n",
-       "      <td>315.16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>5</td>\n",
-       "      <td>21320</td>\n",
-       "      <td>1958.3699</td>\n",
-       "      <td>317.51</td>\n",
-       "      <td>314.71</td>\n",
-       "      <td>317.86</td>\n",
-       "      <td>315.06</td>\n",
-       "      <td>317.51</td>\n",
-       "      <td>314.71</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     Yr  Mn  Date 1     Date 2      s1      s2      s3      s4      s5      s6\n",
-       "0  1958   1   21200  1958.0411  -99.99  -99.99  -99.99  -99.99  -99.99  -99.99\n",
-       "1  1958   2   21231  1958.1260  -99.99  -99.99  -99.99  -99.99  -99.99  -99.99\n",
-       "2  1958   3   21259  1958.2027  315.70  314.44  316.19  314.91  315.70  314.44\n",
-       "3  1958   4   21290  1958.2877  317.45  315.16  317.30  314.99  317.45  315.16\n",
-       "4  1958   5   21320  1958.3699  317.51  314.71  317.86  315.06  317.51  314.71"
-      ]
-     },
-     "execution_count": 412,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "raw_data_1.head()"
    ]
@@ -443,7 +92,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 413,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -486,252 +135,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 414,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Yr</th>\n",
-       "      <th>Mn</th>\n",
-       "      <th>Date 1</th>\n",
-       "      <th>Date 2</th>\n",
-       "      <th>s1</th>\n",
-       "      <th>s2</th>\n",
-       "      <th>s3</th>\n",
-       "      <th>s4</th>\n",
-       "      <th>s5</th>\n",
-       "      <th>s6</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>6</td>\n",
-       "      <td>21351</td>\n",
-       "      <td>1958.4548</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>317.24</td>\n",
-       "      <td>315.14</td>\n",
-       "      <td>317.24</td>\n",
-       "      <td>315.14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>10</td>\n",
-       "      <td>21473</td>\n",
-       "      <td>1958.7890</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>312.44</td>\n",
-       "      <td>315.40</td>\n",
-       "      <td>312.44</td>\n",
-       "      <td>315.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>73</th>\n",
-       "      <td>1964</td>\n",
-       "      <td>2</td>\n",
-       "      <td>23422</td>\n",
-       "      <td>1964.1257</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>320.01</td>\n",
-       "      <td>319.36</td>\n",
-       "      <td>320.01</td>\n",
-       "      <td>319.36</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>74</th>\n",
-       "      <td>1964</td>\n",
-       "      <td>3</td>\n",
-       "      <td>23451</td>\n",
-       "      <td>1964.2049</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>320.74</td>\n",
-       "      <td>319.41</td>\n",
-       "      <td>320.74</td>\n",
-       "      <td>319.41</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75</th>\n",
-       "      <td>1964</td>\n",
-       "      <td>4</td>\n",
-       "      <td>23482</td>\n",
-       "      <td>1964.2896</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>321.83</td>\n",
-       "      <td>319.45</td>\n",
-       "      <td>321.83</td>\n",
-       "      <td>319.45</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Yr  Mn  Date 1     Date 2  s1  s2      s3      s4      s5      s6\n",
-       "5   1958   6   21351  1958.4548 NaN NaN  317.24  315.14  317.24  315.14\n",
-       "9   1958  10   21473  1958.7890 NaN NaN  312.44  315.40  312.44  315.40\n",
-       "73  1964   2   23422  1964.1257 NaN NaN  320.01  319.36  320.01  319.36\n",
-       "74  1964   3   23451  1964.2049 NaN NaN  320.74  319.41  320.74  319.41\n",
-       "75  1964   4   23482  1964.2896 NaN NaN  321.83  319.45  321.83  319.45"
-      ]
-     },
-     "execution_count": 414,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "data[data.isnull().any(axis=1)]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 415,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "        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>Yr</th>\n",
-       "      <th>Mn</th>\n",
-       "      <th>Date 1</th>\n",
-       "      <th>Date 2</th>\n",
-       "      <th>s1</th>\n",
-       "      <th>s2</th>\n",
-       "      <th>s3</th>\n",
-       "      <th>s4</th>\n",
-       "      <th>s5</th>\n",
-       "      <th>s6</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>3</td>\n",
-       "      <td>21259</td>\n",
-       "      <td>1958.2027</td>\n",
-       "      <td>315.70</td>\n",
-       "      <td>314.44</td>\n",
-       "      <td>316.19</td>\n",
-       "      <td>314.91</td>\n",
-       "      <td>315.70</td>\n",
-       "      <td>314.44</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>4</td>\n",
-       "      <td>21290</td>\n",
-       "      <td>1958.2877</td>\n",
-       "      <td>317.45</td>\n",
-       "      <td>315.16</td>\n",
-       "      <td>317.30</td>\n",
-       "      <td>314.99</td>\n",
-       "      <td>317.45</td>\n",
-       "      <td>315.16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>5</td>\n",
-       "      <td>21320</td>\n",
-       "      <td>1958.3699</td>\n",
-       "      <td>317.51</td>\n",
-       "      <td>314.71</td>\n",
-       "      <td>317.86</td>\n",
-       "      <td>315.06</td>\n",
-       "      <td>317.51</td>\n",
-       "      <td>314.71</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>6</td>\n",
-       "      <td>21351</td>\n",
-       "      <td>1958.4548</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>317.24</td>\n",
-       "      <td>315.14</td>\n",
-       "      <td>317.24</td>\n",
-       "      <td>315.14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>1958</td>\n",
-       "      <td>7</td>\n",
-       "      <td>21381</td>\n",
-       "      <td>1958.5370</td>\n",
-       "      <td>315.86</td>\n",
-       "      <td>315.19</td>\n",
-       "      <td>315.86</td>\n",
-       "      <td>315.22</td>\n",
-       "      <td>315.86</td>\n",
-       "      <td>315.19</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     Yr  Mn  Date 1     Date 2      s1      s2      s3      s4      s5      s6\n",
-       "2  1958   3   21259  1958.2027  315.70  314.44  316.19  314.91  315.70  314.44\n",
-       "3  1958   4   21290  1958.2877  317.45  315.16  317.30  314.99  317.45  315.16\n",
-       "4  1958   5   21320  1958.3699  317.51  314.71  317.86  315.06  317.51  314.71\n",
-       "5  1958   6   21351  1958.4548     NaN     NaN  317.24  315.14  317.24  315.14\n",
-       "6  1958   7   21381  1958.5370  315.86  315.19  315.86  315.22  315.86  315.19"
-      ]
-     },
-     "execution_count": 415,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "data.head()"
    ]
@@ -746,157 +161,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 416,
+   "execution_count": null,
    "metadata": {
     "scrolled": true
    },
-   "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>index</th>\n",
-       "      <th>Yr</th>\n",
-       "      <th>Mn</th>\n",
-       "      <th>Date 1</th>\n",
-       "      <th>Date 2</th>\n",
-       "      <th>s1</th>\n",
-       "      <th>s2</th>\n",
-       "      <th>s3</th>\n",
-       "      <th>s4</th>\n",
-       "      <th>s5</th>\n",
-       "      <th>s6</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>period</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1958-03-01</th>\n",
-       "      <td>2</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>3</td>\n",
-       "      <td>21259</td>\n",
-       "      <td>1958.2027</td>\n",
-       "      <td>315.70</td>\n",
-       "      <td>314.44</td>\n",
-       "      <td>316.19</td>\n",
-       "      <td>314.91</td>\n",
-       "      <td>315.70</td>\n",
-       "      <td>314.44</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1958-04-01</th>\n",
-       "      <td>3</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>4</td>\n",
-       "      <td>21290</td>\n",
-       "      <td>1958.2877</td>\n",
-       "      <td>317.45</td>\n",
-       "      <td>315.16</td>\n",
-       "      <td>317.30</td>\n",
-       "      <td>314.99</td>\n",
-       "      <td>317.45</td>\n",
-       "      <td>315.16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1958-05-01</th>\n",
-       "      <td>4</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>5</td>\n",
-       "      <td>21320</td>\n",
-       "      <td>1958.3699</td>\n",
-       "      <td>317.51</td>\n",
-       "      <td>314.71</td>\n",
-       "      <td>317.86</td>\n",
-       "      <td>315.06</td>\n",
-       "      <td>317.51</td>\n",
-       "      <td>314.71</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1958-07-01</th>\n",
-       "      <td>6</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>7</td>\n",
-       "      <td>21381</td>\n",
-       "      <td>1958.5370</td>\n",
-       "      <td>315.86</td>\n",
-       "      <td>315.19</td>\n",
-       "      <td>315.86</td>\n",
-       "      <td>315.22</td>\n",
-       "      <td>315.86</td>\n",
-       "      <td>315.19</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1958-08-01</th>\n",
-       "      <td>7</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>8</td>\n",
-       "      <td>21412</td>\n",
-       "      <td>1958.6219</td>\n",
-       "      <td>314.93</td>\n",
-       "      <td>316.19</td>\n",
-       "      <td>314.00</td>\n",
-       "      <td>315.29</td>\n",
-       "      <td>314.93</td>\n",
-       "      <td>316.19</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            index    Yr  Mn  Date 1     Date 2      s1      s2      s3  \\\n",
-       "period                                                                   \n",
-       "1958-03-01      2  1958   3   21259  1958.2027  315.70  314.44  316.19   \n",
-       "1958-04-01      3  1958   4   21290  1958.2877  317.45  315.16  317.30   \n",
-       "1958-05-01      4  1958   5   21320  1958.3699  317.51  314.71  317.86   \n",
-       "1958-07-01      6  1958   7   21381  1958.5370  315.86  315.19  315.86   \n",
-       "1958-08-01      7  1958   8   21412  1958.6219  314.93  316.19  314.00   \n",
-       "\n",
-       "                s4      s5      s6  \n",
-       "period                              \n",
-       "1958-03-01  314.91  315.70  314.44  \n",
-       "1958-04-01  314.99  317.45  315.16  \n",
-       "1958-05-01  315.06  317.51  314.71  \n",
-       "1958-07-01  315.22  315.86  315.19  \n",
-       "1958-08-01  315.29  314.93  316.19  "
-      ]
-     },
-     "execution_count": 416,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df = data.dropna().copy()\n",
     "df = df.reset_index().copy()\n",
@@ -918,22 +187,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 417,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1080x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df['s1'].plot(title = 'concentration de CO2',);\n",
     "df['s1'].plot(figsize=(15, 10),).grid(linestyle='--', linewidth=1);"
@@ -949,22 +205,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 418,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1296x360 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from scipy import stats\n",
     "\n",
@@ -1001,22 +244,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 423,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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tMXEngO9BlBzU8WWIsj8AMAOiYoBDjb2NIAiCIAiCIAiCIIhRSt5wNcwYuwpAA+d8I2NsgWb/DwDEAfzV2aRpJlAyhDF2LYBrAaC4uPi86dNlJaKSkhIAQFtbm7utsLAQhYWFaG1thWUJ+0g0GkVJSQk6OzvR2ysrJo0bNw6JRAIdHR3utuLiYuTn56O5udndFovFMGbMGHR0dKCvr8/dXlZWht7eXnR2drrbxowZg2g0itbWVndbfn4+iouL0dbWhkQiAQCIRCIYN24curu70d3dTfeUhnuKx+Po6ekZVfc0Gp8T3VP67ikajSKRSIyqexqNz8m5p6qqquOc88kghp1JkybxysrKlM7p7u5GYWHh8HQoyyBZSEgWEpKFF5KHhGQhyQZZbNy4Man5yLAZJgC8D8BHGGMfgqh3O44x9hDn/HOMsS9A1Li9lMt6pTUAZinnz4SooeuBc34PgHsA4Pzzz+cbNmxIqVNLlizBokWLUr6Z0QjJwgvJQ0KykJAsJCQLSTbIgjFWne4+5AqVlZWg+cjAIVlISBYSkoUXkoeEZCHJBlkkOx9h0i4wfNgeE9dzzq9ijF0B4DcALuacH1OOOQvAwxB5JcoBvALgdM55IqzdgRgmmpubUVZW1v+BOQDJwgvJQ0KykJAsJCQLSTbIgjG2kXN+frr7kQvQfGRwkCwkJAsJycILyUNCspBkgyySnY8Mp8dEGHcBKADwEmMMANZyzr/GOd/BGHsMwE6IEI9vmIwSBEEQBEEQBEEQBEFkPyNRLhSc85Wc86vsz6dxzmdxzufZ/76mHHcL5/xUzvlszvnz4S0OnFWrVg1Hs1kJycILyUNCspCQLCQkCwnJghgsNIYkJAsJyUJCsvBC8pCQLCSjSRYjYpggCIIgCIIgCIIgCILQQYYJgiAIgiAIgiAIgiDSRs4ZJmbPnp3uLmQMJAsvJA8JyUJCspCQLCQkC2Kw0BiSkCwkJAsJycILyUNCspCMJlmMSFWO4WIgWbAJgiAIIhegqhwjB81HCIIgCEJPsvORnPOYWL58ebq7kDGQLLyQPCQkCwnJQkKykJAsiMFCY0hCspCQLCQkCy8kDwnJQjKaZJFzhomenp50dyFjIFl4IXlISBYSkoWEZCEhWRCDhcaQhGQhIVlISBZeSB4SkoVkNMki5wwTBEEQBJFOXt97DL1xK93dIAiCILKU2uYu7K1vS3c3CGJIyTnDRGlpabq7kDGQLLyQPCQkCwnJQkKykAxUFruOtOKae9fjZ8t2DHGPiGyD3icJyUJCspCQLLyo8njf7a/i8jteS2Nv0guNDclokgUlvyQIgiCIEeLZrUfwjYffxrRxhVj7/UuH9VqU/HLkoPkIQRAjSeWNzwIADt7+4TT3hCD6h5JfhrB58+Z0dyFjIFl4IXlISBYSkoWEZCEZqCz2NgjX28bO3qHsDpGF0PskIVlISBYSkoUXkoeEZCEZTbLIOcNEdXV1uruQMZAsvJA8JCQLCclCQrKQDFQWexvaAQC9cQstXX0AgNue34XP/HHtkPWNyA7ofZKQLCQkCwnJwotOHtns+T4YaGxIRpMscs4wQRAEQRDpYl99u/u5rrkLALC9tgUdvYl0dYkgCILIUrr66LeDGD2QYYIgCIIgRoB4wsKB4x2Yf8oEAEBtkzBM7G/owKmTxqSzawRBEEQW0t4TT3cXCGLIyDnDxMKFC9PdhYyBZOGF5CEhWUhIFhKShWQgsjjU2InehIWLz5gCAKhr6UJ7TxxHW7tx6pSxQ91FIsOh90lCspCQLCQkCy86eXT05KbHBI0NyWiSRc4ZJlpaWtLdhYyBZOGF5CEhWUhIFhKShWQgsnj0rcMAgMvOnIL8vAhqm7pw8HgHLorswCWNjw11F4kMh94nCclCQrKQkCy86OTRkaMeEzQ2JKNJFjlnmFi3bl26u5AxkCy8kDwkJAsJyUJCspD0J4v/Xl6Fv6yVCan6EhYeXX8IV88tx+lTS1BeWoja5i5YGx/Eg7HbcXLN34G+7uHuNpFB0PskIVlISBYSkoUXnTzauoffMME5x576toxKtEljQzKaZJFzhgmCIAiCGE564gncvXI/fvT0djS0CmPDWwcb0dodx1VnTwcAzCgtwCU1v8fZb/8Qa6x3If7FF4BYYTq7TRAEQWQJ+XlChRsJj4kbntiKhXe8hl1H2ob9WkRuQ4YJgiAIghhCdtS1up+31ggXS2dCd37FeKC3Eze23YaPdT6BtRMW4frYDzG2dEJa+koQBEFkH8X5UQBAR+/wGyae2FgDAGjt7hv2axG5Tc4ZJubOnZvuLmQMJAsvJA8JyUJCspCQLCRz585FQ2s31r5zIrDv7eom93OtXRK0+kQHSgryMMFqBP78Iby77XX8LH4Nfh37d5RPLBmxfhOZA71PEpKFhGQhyTZZ3PPaflTe+OywhTyo8siPChWuewTLhVpW5oRyZNvYGE5GkyxyzjBRWVmZ7i5kDCQLLyQPCclCQrKQkCwklZWV+Px96/Gpe9aipcu7irSxugkzxxehIC+iGCY6saDsKNifLgWO7cGaC36H++JX4q3qZlRMLE7HLRBpht4nCclCQrKQZJss7nx5LwDgWFvPsLSvyoMx8X/CGpZLaYlnkGEi28bGcDKaZJFzhoklS5akuwsZA8nCC8lDQrKQkCwkJAvJkiVLUHVUhGe8vveYu51zjg3VTTi/YjxmlBWhtkkYJqbXr8IvWxcDnANfXo7i91ztnnPSBDJM5CL0PklyXRbxhIWvPPAWNh1qynlZqGSbLGaNF9/l1Y2dw9K+Th4Ja+QsE4kMMkxk29gYTkaTLHLOMEEQBEEQg6VDcZJ4u7rZ/VzT1IVjbT04r3ICZowvQk1TJ3pW341bum9BS3EF8NVXgeln45TJY9xzyDBBELnNocZOvLyrAd/52+Z0d4UYBDPHFwEQHnLDTcR2mRhJY4HOY4JznlEhHqmw4WAj7l99IN3dIBTIMEEQBEEQKXJcqexZZ4drAKL6BgCcd9J4zCqN4bMnfoeCl27CK9a52HXlo8A4UZVjXGHMPYcMEwSR2/Ta/vgFeTQtz2aml4nKSodOdAz7texIjhENr9B5Z3z3b5txyvefG7E+DCX/8r9rcPPSnenuBqGQl+4OjDRTp05NdxcyBpKFF5KHhGQhIVlISBaSRFEZgHZMHVeAuhZhmOhLWPjlC7tRMbEYs8dz/HvtD1DB38SmWdfga3s/iLUV0z1tPPn1i/DCjnqcc9L4NNwBkW7ofZLkuix6+hzDRDTnZaGSbbKI2l4MXcOUkFKVB7OvZQ1Tok0dOiPI05vrUm5n/YFGvH2oCZ+/qALF+QNTRbNtbAwno0kWOWeYmD9/frq7kDGQLLyQPCQkCwnJQpKLsvj9in14eN0hPPDlC3DalLHu9qJJMwFU4YKTJ+LNfccBiMobR1q68YcPT0b0/iswq3k3bur7N9SxT6EovxGTxxZ42j6vYgLOq6AyoblKLr5PYeS6LJzKCvl5kZyXhUq2ySJhGwn6EsNjLNDJY2Q9JobmWrc/vwtvH2rG9NJCLJo3Y0BtZNvYGE5Gkyxyzmds7dq16e5CxkCy8ELykJAsJCQLSS7K4v7VB1Db3IXHNhz2bH+76gDKimOYPXUsTnT0orsvgX0NHZjH9uGyNz8DtNRiz2V/xiOJS7GxugnTSgvdFS6CAHLzfQoj12XRaRsmCvIiOS8LlWyThVMhIz5MCSlVebhVOYbJCKJjqAwunb1ivDueQgMh28bGcDKaZJFzhon6+vp0dyFjIFl4IXlISBYSkoUkF2XhTJxe2yMrb1gWx6Yj3Thjaglm2MnOapu7ENn+OP6W/3NEC4qBf3sRpe++HADQ3hPH9NKike88MSgYY1HG2CbG2LLhaD8X36cwcl0WHT1xAMIwkeuyUMk2WXDbY2K4ElKq8nANEymGctQ0DTwx51BXABmMt0e2jY3hZDTJIucMEwRBEASRDN19CbTZCsPRVpnt8uVd9TjWzXDN/AqUlxaBwUJs5S+wsOqH2Bk5HZGvrgCmzMG0cYUozo8CAKaVFqblHohBcR2AXenuBDH66eyRoRxE9uIYJIYrlEPFsRGkYgR5ZVc93v9fK/DSzoEpsiZDAk/BQMLciiIjV+rUxFBVFalp6sQfVu5PSRYmdtS1eJJr5wL0DUgQBEEQGho7egEA5aWFaO7sQ09cKA8Prz+E8fkcV757GmaOsfCH2G9x0o4/4MWChfjtjF8CYyYCEJMvxyAxnQwTWQVjbCaADwP4U7r7Mpqpa+4askl8NtPR63hMRNPcE2IwJIbZY0LFGsC19tS3AxBlMnXsP9bueu/oMF0rlX6ko6KIiaHqx+fvXY//Wl6FY+09Q9Leh//nDbz39leHpK1sIecME4sWLUp3FzIGkoUXkoeEZCEhWUhyTRYn2oVh4szp4wAAx9rEZGNnXSsuefcs5LXVovypf8blkQ1YUfldfLfry6ic4q2wEYuIn9lLzxw9WbNzhDsBfA/AsC3p5dr75GdjdSPee/ureGJjTc7LwlEG8/MiOS8LlWyTheV6TAS/Nn6yZDu++7fNgzJaqPJw2kmlvZJCUfOgtTtofDjc2IlLf70Ktz9fFXp+3OAJkopy74ahDJEsBkuq/dhwsBFxzTOusb0boiOcTyrb3hMTOVeV4+DBg6isrEx3NzICkoUXkoeEZCEhWUhyTRbHO4Qh4szp4/BKVQOOtfWgtCiGhrYevKd3M/DHn4PFe3BD7AdoiP8TOnqP41SlcgcA3PmpedhZ14p5s8rScQvEAGCMXQWggXO+kTG2wHDctQCuBYDy8nIsWbLE3XfxxRcDAFatWuVumz17NubMmYPly5ejp0eMrdLSUixYsACbN29GdXW1e+zChQvR0tKCdevWudvmzp2LyspKz3WmTp2K+fPnY+3atZ4440WLFuHgwYPYsmWLu+3CCy9EaWkpXnzxRXdbRUUF5s2bh5UrV6KlpQUAUFBQgCuuuAJVVVXYvXv3sN3TG0cZgCg2HW5Gfu3babun1u44Nq1bndbntHl7FYAIDh86hC1bgDPOOCNjntNA7ymTx95w3dOJxhIAwNH6Brdd554eWCP6U9FXjZNLvPf0+lGG9Q0R3POJ05K+J8sqBgDs3rsPS5bsSeqe9uxoABDF7v0HAbzHc0/PH44AiKCpo9tzfkVFhft5y7ZtWHJiq+c5OTyzdBkWXpLcc2pvzwcAHKqpxZIl2wb0nKZNm4ajR48OauypfS8dk9zY29cC/G5nHm744Gyc2rPP85x648JY8dzzyzEuP/V7Co49oaaPhvcpaTjnWfvvvPPO46ny9NNPp3zOaIVk4YXkISFZSEgWklyTxUNrD/KKxcv4s1vreMXiZXz59iN8y+Em/p2bFvO+n0zg/M65nDdU8Y/fvZpXLF7GKxYv46v3HUt3t10AbOAZ8Fudbf8A3AagBsBBAEcBdAJ4yHQOzUdS57433uEVi5fxHz+9LSVZNLb38KaOniHpw976Nl6xeBn/21uHhqS9gfLjp7fxisXL+Hcf3ZTz40Il22TxH3/dyCsWL+P/9ue3Avuc34g39gZ/I5x9/aHK45yfvcgrFi/jP1myPen+vbjjKK9YvIx/4b51gX2/WLaDVyxexn+2dEdo/+5esS90X0tXb9L9uPp3r/OKxcv4Xa/uTfocP4MdG/GE5fa9sT3575MH14h5wY1Pbg3sc9o70tyVdHuvVtVrZa621x/Z8J4kOx/JuVAOgiAIgvCji61dUdWAGWVFOPckEZ7R0NqF2IqbcUf+H9BQfDrw1VeBybNRXiYrbpw22esxQWQfnPObOOczOeeVAD4F4FXO+efS3K1Rh+PuHoumNhU95+cv4ZyfvzQkfXDyyNz3xoEhaW+gOOUT+zIk5p4YGE4oh6lcaCohD0daunDTU9twuDFYSWMgOSa4fU67JpTD6Zc/REFNDGlKVplKAkk3x8QIljr109krZZDKM2npFN8ZZcWx0GNSKRf7nUc34943DuCdY+1JnzOaIcMEQRAEkdM0d/bi0l+vwuInt7rbOOdYs/8EFsyejElj8zGWdeGi9d/GmfvvwxPscrx1+g1A8QQAcEuGji3Iw+SSgrTcA0FkKl954C08uOZgYLuZs0CXAAAgAElEQVRTuSAvRcMEAPAh0mecKhhVR9uGpsEBkghRConsIpm8D6lUonhtzzE8sv4QvvfE1sA+d8ykoFQ7h7ZrEly6+TF87anlSE3XSqUfzpE6WVTe+Cx+tnRn0m0NlC7bGCj6kXzfmzr7AABlReGGiVSKjZx7kgjzXLH7WD9H5gY5Z5i48MIL092FjIFk4YXkISFZSEgWktEqi+e3HwUArN533N12tLUbHb0JzJlWgry2Gvy94Gac0vQG7ox9Ba+cciMuvOh97rFTbWNEaVHMLYNGjA445ys551cNR9uj9X3y8/KuBvx4yY7AdsdjIj/KArJYuqXOTTaroq5yDgUjUT0hGRzlL27xnBkXyZBtsnCGky75pYPJS4D7LG5OM209QhlW5eEcmoqngtN+m8FjIpHw94FrP/uvncq71J9R5b7V/XswJTs2OOfYUx80PHb3yWeUiodDs22YKIyFV9BJpGA5dRYzTNVQ+iPb3hMTOWeYKC0tTXcXMgaShReSh4RkISFZSEarLLbWiERREcbcids7xzoAAPN4FXDPBzCdncBvptyCuzouReXksR5ZnDFVJDy77rLTR7jnRDYzWt+nZIkrHhOqLLr7EvjWI5twya9WBs45pHFpHwzWULleDBLVYyLXx4VKtskimfAK0z7/Ltme+FuVx0A8JhyFubW7T3Ntx2PC0m7XXasnLo8diGFiMIbBZMfG4xtqsPCO1/DG3uOe7aoxwt+PQyc68esXd2uNPi1dQnYm41MqXjGOeAfjLZVt74mJnDNMqBlMcx2ShReSh4RkISFZSEarLGrtEl8nOnrdVdp9De34eOQ1vPuVa4DCcfjFtP/BE82zEbc4ppcWemRx0akTseamS/DJ82elpf9EdjJa3ycV02qummNClYWzva0nHji/tqlrSPs30h4TF9zyMj529+rAdlXJzIVxkSzZJgvnOfYZvCJMeUT8K/fSMCG2q/JwjAypGNdMHh2OodDv0aG+I37luatvYOEQFtcbVVLx/kh2bGw63AQAOHiiw7Pdc1++6/5wyXb87tV92FzTHGivzTbqmPruF293XwL/t2q/Vu6JEFmkQra9JyZyzjBBEARBECq1TZ0Ybyey2nmkFUjEMWPdz/Dr/P8FTpoPfOUVJCacjqOt3QCAaeMKPeczxjC9tCjQLkHkOuqKqh9HeYtFveFPqsLQ65vI9xraGwipKEJDQUNbD94+FFR2pEJLOSaymeQ8JkwJJP3HhrfHB6DQcteYoeuX/lpqn/zX6h6gYSLsWqmEQCRLb1y0me/LZRP3GBK81x1XaJfpPO41ZgDhHg5q3/3tPbL+EG57vgr3apLsWoZnnIuQYYIgCILICe58eQ9uesqbRIxzjtrmLlx25lQAwP5Dh2E99HFc1vIk3pz0L2CfewoonoCKicXuOWoVDoIgwlEVFz9hSrhpJXOoFZdM0QWGwrWdSD9uOMQAc0wEPSbE/7pxIcdM8sYs5xx/LgtAvlv+vpsUbtVQOJAknGEeIoD5u0PH/av1lS3cXDZ5XpVXvRf/PVdOHAMAOHhCEzrGnHOSz8VRaifK3FbbEmgu4coi3AMjl5Li5pxhoqKiIt1dyBhIFl5IHhKShYRkIclmWbR09eHOl/fikfWHPZOXEx296O6zcOb0cXhfSQMWrf8cWPWbuKHvWtRddDMQFROKs8plDOe00sKslgWRGeTCGOoyKBeOUmJx7pGFpwqAX0kaYsXdZOg41taDZ7ceGbJrmbwzpFLIc2JcJEu2ySKZvA/+MawaCfw2BmfMOKeo8jAZLcJwDtWdEg/pu8lQqCr0Q+Exod5/f8kgVVk0d/bi5qU7ce1fNgaOCytLbDIkFBeIxJbaMq0h3k0eDwzf98rYAuGBsa8+aDgJ85hQ2+vux1Ms294TE8NumGCMRRljmxhjy+y/JzDGXmKM7bX/H68cexNjbB9jbDdj7IPD0Z958+YNR7NZCcnCC8lDQrKQkCwk2SyLt6ub3M9q9Y299kThgt41+FP8JuQlurH50ofweGIBZo2XnhFnlY9zP08ck5/VsiAyg1wYQ6ZVT8fFOmF5ZeFdyfQpLkPtMWFQpv7jrxvxjYffxvH2YHWQgdBuqCgiFVorJ8ZFsmSbLBzF2qSk+3NMqMa78BwT4n9HHgOthiENHcFzrBDDhHqsv2JH7yANE37vEcvgneFHHRuHG0XumaimKlaY90rcYHBxZKELHetLwoATMLjY91XTFDR0hIVxqbJQS5vqyLb3xMRIeExcB2CX8veNAF7hnJ8O4BX7bzDG3gXgUwDOAnAFgLsZY+G1WAbIypUrh7rJrIVk4YXkISFZSEgWkmyWhTohaFDKEO4+0oxvRZ/Cu1/7Oo7mn4RvjP0NdubNAQDMmiDDN6aMK8TXF5yKp/7jvWCMZbUsiMwgF8ZQMh4TCcvyyMI0wR9qj2a1fb+R4kRHLwCgyf4/WSyLaw0yLZ3BSgj+fsQTPCfGRbJkmyzCwiE8x/j2dfQoeRr85UJ9hglHHqko8CrOeTr7nusxYfBSCnpMDK4fphwTpiShgHdsONV6ppcVBo7rdZJ6GsJGwr5ndAYcJ3QmEPKSxPeWzkPL/4wdPB4T/YS1ZNt7YmJYDROMsZkAPgzgT8rmRQAesD8/AOCfle2Pcs57OOcHAOwDcMFQ96mlJRjfk6uQLLyQPCQkCwnJQpINsognLOxrCNYsr2nqQn5eBJNLClBvJ7FETzvmrv0O/l/sCfCz/xX3nX43dneORU1TF2JRhqm+JJeLr5iDc08STn7ZIAsis8mFMdTd13+sfdziHlmYYr+HOlmlVxHyXqvMjgtv7go3KOj4wdPbMedHywNx/M3JGCZ8ssh1MlEWnHO8uOOoVhFPJvllKuEQrpu/3a4jD0+40wBCObT7QrwYvAp3eDJav+IPAFfc+Rpue35XYHtYyAtXmvB7Z7R09uF7T2xxDXzq2HANE6VBw0Sf3Ue/94N6n4F7NlQ8CateYio/arntBZoL9VRJpGCYyMT3ZKDkDXP7dwL4HoASZdtUzvkRAOCcH2GMTbG3zwCwVjmuxt7mgTF2LYBrAaC8vBxLlixx91188cUAgFWrVrnbZs+ejTlz5mD58uXo6RGrZCtXrsSCBQuwefNmVFdXu8cuXLgQLS0tWLdunbtt7ty5qKys9Fxn6tSpmD9/PtauXYv6+np3+6JFi3Dw4EFs2bLF3XbhhReitLTUU8qloqIC8+bNw8qVK93BVFBQgCuuuAJVVVXYvXt3yvdUWlqa8j0BcO9rtNzTYJ6TKo/Rck+DeU7Nzc2j7p4G8pwAOS5Gyz0N9DkByPh7eu5QBC/URvDYF87CkT2yT7vrJ2BmWRH6utqxbd8hvPTYW7iw+nc4u70aT5Z9EXmRD6Ch9ghOtDNUn+jA5DExLFv6jPGeNm/enJHPyRl7BDFSJCyOaCToRu1MqDUe1uiJi31+Y0OyyS8552C+hldUNeDck8aj1K6y0x+q8SCe4ChQZsVlxfkAgMYUPSYeWX8IgFhNzs+T/WvuCm9HekzkTpK7bOWlnfW49i8bccMHZ+MbHzjNs0/mHwi3AARX000hAN525XXC2zNhyqkic0yEexaYjCp+JT6esFB1tA1VR9tw05Vn+trU991rcPH24/ntR/DYhhpEIwy3fexszz5nsaEgL+ho7/QxlWSVpkoZoaEXhmciPVWS95hQ/zZVNxptDJthgjF2FYAGzvlGxtiCZE7RbAs8Qc75PQDuAYDzzz+fL1q0KHCSbtsVV1wBAFi+fDkWLBDdmTdvXiAup6ioSHu+btv8+fMD2yorK12lv7/znX6ozJkzB3PmzEnqfOeeVFK5J2cCrZLt9zSY56STB5Dd9xR2fn/3tHz5cpSVlYWen4331N/5Yfd09OhRz77RcE8DfU7Lly/P+Ht69J61AE7gSE/Mc/69d72BGeOLUDB5LCY2rMHlB36D3ngcX+xbjB98+huYM20cWtYcxAu1O7C1pgWnTBmHRYsuD+3T8uXL3Wtm2nMC9GOPyCwKCgrS3YUhob61Gxfe+gp++S9n4xPnz/LscwwTsUjQQdcJ84hb3CMLj2HCEHftV/xPtPfgS39+C+87bSL++pXkxr/avF/RcDwmTrSnZphQ21MrAbR2GXJMKMkv/eNiyeZaXPfoZrx54yVprQj0od++jpMnj8HvP3PuiF0zE98RZwRuVPIWOUgl0+ApZHDZD1NOnWMceQw0lEOnGIddS9d+oCqH8s74PQgON3WFXsvpv9/4YLrW5BJx76v3nQDgHRvOu6vz2pCGifBqI/7zwhKBqtv8hg6Px4Q/JMeXxFS3zyT3/nLrZOJ7MlCGM5TjfQA+whg7COBRAJcwxh4CUM8Ymw4A9v8N9vE1ANRftJkA6oa6U7oJYK5CsvBC8pCQLCQkC0k2yKIwJn7WttVI10bOOQ4c68ApE4uxqHcZbun4MTBmMu467R5sip2L06cIp75JY8WPe01TF2aONysA2SALIrMZLWPISQ55y3NBl23H+BCL6pLSyZVCVRYJn/FBRV059isaTub6d451JN1307Ucr4vGjoElv/T3z5R3QLpzW4Fx8diGwwCA/ZpSiCPJziOtQ1qlJBky8R0pKRRrurUaxdt5xMaSoIGV+/AQAMeQ4BjoHHmYSniaMB2bCFG4jR4T8XBlfF+DGK8Tx+SHXstUoSTYD/H/YTtflDo2wsIrAJljIpgTov/QC117jgHCZFQJeLg4ni+6pKO+Z6xrr79wnUx8TwbKsBkmOOc3cc5ncs4rIZJavso5/xyAZwB8wT7sCwAcH9RnAHyKMVbAGDsZwOkA1g91v6qqqoa6yayFZOGF5CEhWUhIFpJskEVts5gs7jra6m471taDnp4ufPbYr3F17R1YkTgHHZ9fjlXHx+HsmaWuC/qs8TLZpZr4Ukc2yILIbEbLGIrY4RS6HApOjom8aHC6qbpLq7LwTsjDJ+th+SciuriRECzDtZwM/8dT8JhQY8FNruN+4iGyAIA+u3pJnsbrZGddK17bc0zb5qPrD2FnXat2X6qYVtqHk0x8R5xhoquw4MjJn6/EW0XDUGYyJLTBGUuOPNRcDEOVY0IaC/zvnHKtgLEtvO9HW8Rv8RRfribAkFfBmJDSCYcQf6tjo89NSBm8wbBQDtXoEPau6jwwEiFGEJMhwfL1XX+tcFn0l1snE9+TgTISVTn83A7gcsbYXgCX23+Dc74DwGMAdgJYDuAbnHNzto8BoMb85jokCy8kDwnJQkKykGS6LPoSFg6eEJNFddV03bZdeCT/Fzij9u/YPfvruLbvuzjcmYcDx9px6uSx7nGnTB7jfu7PMJHpsiAyn2wbQxurm/CuHy/HCV/5TJPCLT0mgtPNBJcTclUW5hwT8nOvT0ly4rA1+nso3rARvWLQX+I5XR8As+t4WD/6EjwwLhylSw1bcfjQ/7yOz98XXMPrS1i48alt+NgfVifddxOmMJThJBPfEWeFu0NTwjHME8CUrNI43u0h1JuwwLkcGx6lNQWjkWpg8hubEiFeAqb+9SYSofucv3VmwrC8CuqfplwXgHdsyES6GkNCWE6IJIwgeo8Jsc3//WOsymF4RmElZtXkn/0ZnzLxPRkoI2KY4Jyv5JxfZX8+wTm/lHN+uv1/o3LcLZzzUznnsznnz49E3wiCIIjRQdWRNvTGLcyeWoIjLd3o7I0DNRtw4Usfw7sih9D10fvR+b7F4Ihga00LWrvjOHmSNEaMUTLfXXjyhHTcAkFkLHe9uhedvQm8fajZs92kGPUYQjnCEsyZjAXeUA7vPseAoPOY6OpN4ImNNaHKmGhPr2iYEhn6MYWamAw4Ye7cYptzXvKeIEeaRTLAoXJ0ONbePTQNjQKMBibFw4GHKL6pJL/kIQYNT3hFCuPTdC03d0IKZTUdbx4gPImtvuSmXvH3ejCl4nHkhFeEX8v/PsY919LfsynHhP9dDXs+/fU9EXKtVDwmRhPp8JggCIIgiCFn02GRjOxj54qCTs2v/xH8/ivRbUXx/AUPoGjuxzDTDtd4fe9xAPAYJgBgmu126i8VShC5TnuPWDUfW+DNm26adDurijpjQeiE3JD80mNIiId4TGiu9f2/b8P1j2/B1hpvWb0wxU/th24VNoxkDB3+66rX7tPI0k3sl0LFDqd84lAly2xoHViejdGISUm0PMqpst0wzpJJfgn4KmCkkBjR0z+PR4LeKOAv02n2mLBC9/lDL7z9CPOYMBglDffZGzcZ9qxAX/3XDjPS6L7bnPZS8XxJJuloMIQmXLajmZwzTDgl2wiShR+Sh4RkISFZSDJFFt19Cdz01FY3uRYgfvj/uvYQTp08BhdVjMWteX9E+es3omXqfFzdewsmnnY+AGDS2HwUxaJ4fa+Iy/YbJl747j9h04+C1Tj8ZIosiOwl28ZQe4/e+8GrTPhWEW3lQpf2wTnUsrhHFh5lLElFDZDlRzVVS7HuHZHJ31/S1FSVw3JXv5M3CJg8Okwrz6r3iH9c9IYoQiakYWJoDKzH7ZKp+ZqQnOEkE98Rs+eL/KyOG6OxTVWQuX/MqO3JsWEyMJhIxkASeOdMHhMhxhK1PR4ssBhq9EvWswTwjg3XY0KXY8K5r3h4e2FGGt27H+aBYUp+mZy3lP+c5M4HMvM9GSg5Z5ggCIIgspsH1xzEI+sP4+6V+9xtNU1d2F3fhq+fW4QzX/g0PpO3AltO/jc8+57fogVjcfoUkUuCMYaZ44vQ3NmHvAgLVN8oLYphvCaLOEHkOh22x0QwUZz87F+VdCbv2lXTsKRvBiVOnfAHckz0hXtM1LV0a89JGFZonb9TCeUweUzEDTHj6gptwJvCPs/fdxPH2oSHw8QxQ1NG0PFOSSGv6KjFpCOGKdaq/h149oYEklbIeBpoVQ4riXcrbHuEaapyGDwmnPP83eOcu9uM92swWvhx31Wjh0MKSUdNHhMhIV7mJKahXQ9Nfhk3VA0ZzeScYWLVqlXp7kLGQLLwQvKQkCwkJAtJpshizX6x+nnohMyKvqOuFRewXVi07jPIO7Eb30z8J5ZN+gr2NHRiTH4U00vlyqFjjDhpQrG2WkAyZIosiOwl28ZQu2uYCI9Bd4wDDs7kXRtn7rpzWx5ZmEp4mvZJj4lw7dkf/mHMCWHI+xCGsWqI0ne/kUHtx6srX/PscxWrkPvV98MKXLM/OOf46TM7sOtIsJKH085IF+fIxHdElanfiBQWimAyJCSThBEQ48mRh2VQgs19l5/DFOEwQ2F+XiQQbtAbD1eenXbCSmfqrqX+6Q8p8Y9ldWw475q/f4BqYEy+HGdYmJl6ntHzxRDKEchzE2KYMBmz/GTiezJQcs4wQRAEQWQ3R+zVz601LWJywDkKNt6Dv+bfimhxGdhXXsHO0otR19yNvQ3tOG1qCZiirDhx1/4wDoIgwgk1TCiT5p6430sgPAzBDV/w7TJN8E2GBFmVI9wwYYozDysZmFryS+VaBtdxv4HEo7j6Lteb0CtCLV3B8qxuP0JWpE20dsXx5zcP4srfvq5pL9zAlGskM2YA74q/SQk2rbR7PAjURJP29miEaZ9xQ2u3tpqMyUMoLCGlc05+NBLY15uEt4fJI8qY+DawT34OzdGiDeWwc0wY3sdEmPeIz9DBOQ+9likkx/idphhovfdkBY7JBcgwQRAEQWQVdc1dGFuQh96EheqjJ4C/fw0fOPBrrI+dh8i1rwJT5qC8rAi1zV3Y29DuhnE4nGSXAl141tR0dJ8gshJnddRUBtOvDJmSyCVCJuRe5SSF5JduKEf/9+DgjbkPq8oxRMkvkywZ6ReV0y+/m3pLZ7hhQq0OkSzmcqbi/9xRj8LxeAj5vFYsLsNdwpKdBlfaw70OwrxsnONiUb1h4oJbX8GX7n8rsJ2bxrtrSPAr6eL//LyoMcdEmMdEIDTE8I4YvUdM+TEMCWIH5jHhPVd/TuoeGLp9Vsi1TPlARjM5Z5iYPXt2uruQMZAsvJA8JCQLCclCkgmy6OiJo7U7jovPmIyZ7BgmPf4RYOvfcG/s03ik8jagsBSASPq280grjrX1BAwT11xUgSe/fhH+9R9OGnA/MkEWRHaTiWPIsjiufXCDmyxSR69hsu73mDBVlFBXaFVZmFek1X542+xOIpTDaJgI9ZgYWChHQHFR2vf3Qz3v5FNP8+xzDDB+GXb2SqU4EFLgGoQG1vfwVd3UFKSN1U042jLwUqMZ+Y7w8PFuce4mCA3LCZFKjgl/KIcjD2dzLBoJVVrXaN5h43h3PHNClOqCvIimXGj/OSb8BjVzElj5OWgg8b4/6tjoC+m718MhPMdE0FCo9/TynBPIMRGeCNRUBjWsbLLafn/lQjPxPRkoOWeYmDNnTrq7kDGQLLyQPCQkCwnJQjLSsthW04IDxzs82460dAEAPj5+L57J/wEK2w6h+5OP4BftV+P0aaXucTPKit3J/+lTvYaJ4vw8nFcxYVB9o3FBDJZMHEONnb14cWc9vv7Xt0OPCeRpMKwgy9jv4MRaJsfjHlkYk19yr3KikpTHRGDVNNhXfz8GWvUg4DreTylRR6E9+ZRTPfv6QhQr8yrs4PoeUAoH6Er+8T+8iff/16spn3fyTc/iVy/szsh3RH0Mfg+hhMVRkBdxP6vbdZ/726f+2ZewXHk4zyM/Gsz7kGzfwzwmOPcn7rSvlRc0gvSGGF9E+6l7KiRjKHTaVMdGWFWOuBX+zpnydCSTRyKQJ8aYR0TpU1gumxS8LPxk4nsyUHLOMLF8+fJ0dyFjIFl4IXlISBYSkoVkJGXBOcfVd72BD/xqpWf73qNt+PfoUnzgra+hkU3Anafcg90lF4FzYPa0Evc4tUze6VNKMNTQuCAGSyaOIWcubCq+EFQ05OdgjolwBVmdkKuy8CjwxpAH7z43+aXBMqFb4Xb7GnKtlMIhklSEdNcqiIkp+cuvrvDscxSZQPlRw+qtc2ld+cRk+m5SClNlIG7onAN3rdiXke+IKaeKZXHk50UBeJ+XKZGh0cDkG0+OPJxxG4sGvRj83jNh+0zhRLoQDZFjIugR5ZQP9udpCMtZocrCFK5hDGuJW56xIb9n9N8/QNDTy+T94L4/Bi+GsCo+ur4nk5ckLIRGHGM2Pqmy2NfQhpuX7tC+s3987R388oUqY1vpJucMEz09PenuQsZAsvBC8pCQLCQkC8lIykL1lKg6ameJ72lD5Ypv4KbYI7DO/Ah+OOkObOuahN31bQC8hokZZUXaz0MFjQtisAz3GDpwvAO/e2WvUVHx40xmTWUhTSuggaocphwTljxflYXJY8K02trd51SiCO+7KYQizCNhoKEcJg+HQD84R4Gt0Hb19Hr2yRh0Q99DPBz8yk6yfR9Kw0SqeBT/DPyeVZ+jf7xbPMRjIsnKG35jm98Dx5GHm2MiL5hjQv27q9efAyO5Z6zre0FM4zER5yiMRe3jPLtCQ6GSNsQYcjj0JizP2OgL8ZhQvRrMuT30708wb4al/ew/1u89Yg5fsa9lCA3xfwV19Sbw6XvWYvdRMfdRZXH941tx/+qD2uo6tzy3C79fsT+wPZPIOcMEQRAEkTks334U1z26KaA8qfGxbx1sAhqqkPi/BTijaSUeGPNlRD/xZ0wcPwG1zV3YfbQNhbGIm9QSAE6eLCpuLJpXblxBJYjRymf/uBa/fmkPmg1JEv1IJcJQctM3gVbfXX8oh1qVI6y0YrIKknqObp9zbVN5T5NhIrxKQfLKvSmxn8mt3BMCEGIDMK20h5VWTKmiiCGUY7BFAXQVIn71wm58/aGNge1+F/lMQ5VTt2+8JzhHfp4mx4Th2XtW4QPPWH9dNyFlNKJRguXn1m7vu+8N5UjOg8AN5dB4Z/QlLBQ5homQ0BCTIdMU8mDypvC/x26Cy4DHhPw7zNMrGmGh3iNh3wl5unOS9PYILUts/K7znrPpUBPWvHMCP16yHX7KimMAZPWybCPnDBOlpaX9H5QjkCy8kDwkJAsJyUIyHLL42kMbsWRzHWqaujzb177TiKnjCjBhTD7Y9ieBP16CvvZGfLb3+zj9oz8AGEN5WSFqm7uwp74Np00Zi6higJheWoTXbvgA7vzXeUPeZ4DGBTF4hnsMnejo7f8gH37XdB2mFdCw5JdA0JPBmbwnOPfIwqvAhxst/EpDT0jVEE/SvIRf4TYbC3R9MGFy2U42lKN4jDf0zPFeCbYnP4etLqfi6ZBsVYFUPHAcGlqDng93rdiH57cfDWxXx1A6v2cPHu/AT5/ZYUxkGPCYsOAamFQZGqtNaPI56P6OW/I9MYVyJFv1IpC/xVKMKupqvZPPQpNjoi9hoSg/6vbPc1/2eLW49z7U/BhGjyjD+9OX8H5nOO9G0OtAfff9crfAmL6ySZjHkdNeYSwauJY5j4i+T+o+U/JL/76SQmF8aOsWJZxVWUwvFR6iTj4uHW3dyRurR5qcM0wsWLAg3V3IGEgWXkgeEpKFhGQhGWpZqKto6w80up8TFsea/cfxvpPH4baih/C5mpuBae/B78+4H9vy3oP5p0wEIEI0euMWNh9q9nhLOJw0sRjM5JM+CGhcEINluMdQmKJuwjlW99o4hj9jKEcg+WX4KryajV6VhTd3QvIJ5hwlMWDMMJQYNeWzCEveZ8K4MqoaEpR+cM5hcbihHPPOPc9znvMojC7xAY8J/TnJ9t2Uf8Av9+oTHXh8w2F09sZD204lpERdDU/n9+yi36/Gn988iDqfgmca7wlPKIfeY8LoqdDPqrkjD5OxwGgcM1UHscyJO/N1VTkSMmmr36jifbc0OSs07RnLmSp/9sYtz9gIK6mrjn//ux+3OKKMIS8SCcgpHmJUcbYXaORuMiQYDUIhniWmZ+V8F7f1CAODKoup4woAAHXN4R4Tg6mUM9zknGFi8+bN6e5CxkCy8ELykJAsJCQLyVDLYm99u/t5W22L+/m1PccQbT+KHx3/Hj7Y/tt/3JwAACAASURBVDQejlwFfHEZ1p0owOxpJW5oxql2GdC2nviw5JEwQeOCGCwjNYb8k3XjsY5hQrPP2eZfefRU5ejzT/71yhngdWFWZZFs8sswBc8UrmGqyqFbQdZdx4S5yoeiJGkUv0LbY2JX1W5vP7i5f2KffnU5NY8J+dl4LV+btz1XhRue2IqlW+oMbSffD/UZpfN7tqVLKH1+BxFV1N2aHBMylEOvqAZX0xWvItN4T8j3hCseE9ynPCeSUIKd9vzXKnATd1qBc/KjEU2ID0csGvQQ8fddJwutUcVkHFNDORKWZ2y4yS8NYTI6w140whCNsNAwFH8/nPvXlU415grpx1vKf77/uLBrOR4TqiyitlW5oc1gmGglw0TGUF1dne4uZAwkCy8kDwnJQkKykAy1LPbYSStjUYbaZrkqtem1Z/Bc4Q9Q1roHS8+4BT/s+gwSLA+7j7ZhzvRx7nFnTNUnuxwJaFwQg2WkxlAqORIcpV7nMREeMy4/B0M5+p+QWxb3yMKc/BKu4uePrXeUC5NHh99oYVLUXI+JJMJbdNdK1nMjoSh+AFB75Ii+PaORJiz5ZSqGCdNKO5R93mt12J4Snb3BPBKyfykYJhTZZML3rL/vYTlVOOfgXBmfIYqqSYEPekzI1fGE8p44j8CtiOHJPxFuiFOb15ULdcNQPIYE8b/Ow8HiHHlRBsb6M6roDR3GHBOGUI7euOUZG859Bo2V8vss8L2Q4MiLMMSiwXwRVsi7JY2I0dByq7p+GL2bQgygpmSajgdKu22Y8Hx/cvm96ifP8bToDvduSjc5Z5ggCIIgMoM99W3Ij0bw3lMniRwTnKNv1W9wXe314IVlYNeuQPMpV8PiwP5j7Wjp6sMpk8a4508pKXA/l4+wYYIgsoVUciT0uh4TXsuEo3QBQUVdnQD7kxyqCklYgsbUFDWOAluB95cnDAu9UNvwG04SFncn62GVLfzbTfhLGnqvJT97VqTtjwVuEkH9cQEjTRKK0EBDOUyJB/2KVYTpQ3y4oT0TfrmlG1MeBNVDSC2rCeiTX0YjLLiqb1BALc5d44MuZ4XjrRDmkWHK0+BPcMk53DwnnmsZPBwsDjDG9Mkg+/GYcKp88BCjSsAQZ0os6xgmfPfrXLc4Fg2Ga1gcEddjIjnPjbgii0CYh0Zm+vvSv8cmD4ywfBY6g5/rLWV45XTvY0NrN5Zsrg0/aYQgwwRBEASRFnbUteL0qWNRMbEYzU3HgUc/i9iKm/G8dSE2LnwSmDzbNT6ss6t0VE6UhgnGGL75gdMwaWw+3j2DklEShI7UckyICavfYyLZMpj+fcl4TATcqA2KVcKSrvJhMd6mhJnBFWSlvZA4c/92E0YvhhClyzmu0PUEkcJPNplmWMJPnQLCOdeuppqesUmxkrlHkjcwmcg0w4TJ80UdT25ZzTzHwBQ0JOi8BLwKaPBdyNcYH9RKGYE2DHkawjw3nHMK86KB8+R9BcNGLM4RYdAq92obYaEh4m/v/crP4WNQHSOWxWW4U6Aqh9hRlJ+nzeGQFxE5JoweE1qjilMiVf/sUvGYUI0MYcY8v8HK9J3kysLwve8PNQGAT/9xLa57dHOgxOxIk3OGiYULF6a7CxkDycILyUNCspCQLCQDlUU8YWHZ1jrv6qnFselQE845qQxnxw7jYWsx+N4XsO09N+Gbfd9CZfk0ANIrYp2dHNMpA+pw/QdnY8MPLx9xjwkaF8RgGYox1N2XwPee2GKMJ05FsXa8IfyRHF5lzKT4+1cs9TkmnISPznZVFt4Y9KARRLdKDCg5JlIJ5bCUGPmQeHxdqdOExXH/6gMBDxGvkUbfP8DrdeL3mJh37rnynH5i5HX3KPqu7wMAfPvRzfjH/16RYnvh+8I8JrwKp3efP2mkSm9C7suE79mALMJCFJSQB8DvJSD3pZr8Mj9PVr1w5KEmv/Sfp4q6N64fF+Kc4LvpekzockJockkIwwRDlGm8Djw5S/Sy8Pejv+ScDn0Jy5WFYyiLRRn6Et531dlXnB/VelJFI5EkPCaCBhZtyEuIgUXcl3LdJBP6mvOSeP/2fH8awricLbrfhP3HOjznp4ucM0y0tLT0f1COQLLwQvKQkCwkJAvJQGXx6FuH8c2HN+G+1QfcbfuPtaOjN4FFeB0f3fhFFLFeHLzqMbxU8lFEGEPFRFFlY8Z4YXB4ZVcD8iIMs8YHq2+kAxoXxGAZijG0dEsdHttQg/9evjv0GF0ogl+hdnBDOXwuE5ZHyQh32TeFUXgVEHlMwuIeWbgl+fKC2fLVkoZBDwyZYyJs5TEQXmEnwItFWWhVDtGmd9/Tm2px89KduHvFvkD/wq7lrNA6fZTX8So7LW0yKbD67MJWWnX9k+7hwWe/dEsdapu7PJWQ/H03xs+HGLrMpSm953T0hBsmepQ8J+n6ntUptw5e5V7jFaFRuE2VKIxJEzlHvpNHwrJceTinxDQVMYweE/15AhhKnWpzZ1hwPSbC3kfAK0Njex4PBJMBVMrCuY9C27DnNQKIP4RhwtdegiMagTYMJazChppjAvA/Y8u9r1STXzpeR2FhPWG5MxzU98TNWWHwmDAZH1IJuxoOcs4wsW7dunR3IWMgWXgheUhIFhKShWSgslhu16p/dqtM6vbOkUb8Iu9e/MPmm9A1ZR6u6rkVewvOQtXRNlRMHOP+8E8eW4BJYwvQ1ZfAaVPGupOZdEPjghgsQzGGnMm2o/Dq8CuFr1bVY86PlmPL4WZNe/rJbJhbNuBTkP0l+UI8Jvxu/qosnIl1QSyqje93E/6FGBI4D5/g6/I+RJySgYbcGX5FoLGjFwDQ7lOwjSEvFne/1/o0/XOUwl1Ve/TtmdzyQ4xFOiOCM1Q6erwJ8AYcNuLms0jey6JdSb7n90ZxnlGUsbR9z4aFF/j/9nhF+J5jWCiH6f3RKa2qIc6Rh/M8dBUx+ntWzvPXeWq4CrfmvXU9QXxGhggTeRr8yrg6HHSKvrbvIUYf51pqe44s3HCNWLCiiHMfRfnRoCcV58hzPSaSM6qpRlP1XtR9BVFzCVf1u8TxHNOG5IQ8U/8+wPtbkkziW10oV1jbI01mzPAIgiCIUUlfwsKGarEyt6e+XUxCm6pxzsufwufyXkHf/G+h59NP4ThKUdPUhe21LZ58EYwxnFUuKnHMnlaivQZB5Cpx143ZO50zVbZYf6AJAPDGvuOB9sLi+9V5e3B1Xt0XzDER5gKu66toTyp4umR7+ZoYfsCnQKiKkCEcwrLsVVNNZn5v6IVPeU7I1VFv/wyGCc7dkqDaUA7nvkLkGfSYUD/rFRedt0xoTgjTM1E9ZkIURpPC7V+hbevpU8739s/xmIjoSsOMEMZ8GyHPWE0SKfbpPRKMHhOa8a4LXZJeB0EjndmTRvHo0PS9wNh3e3wq+ziHbZjQKePmHBOuASfEOyHgtRN2j06OlpgMeZH7xGcnlMPvSeWUC002P4o/x4TOIBTLi2ifo9snNemo/VHnBWYyWJmMDo6oTSF8Jo8Jv9xHGjJMEARBEEPCxupGHG/v8WzbdaQV3X0WLjh5Arr6Emje9DTwf/+IcZ2HcGPe9xC74heYUFKMolgU22pbUNfSjffMGOdp42PnzgAAzD9l4ojdC0FkA44hwWSY8K8Uji+OAQCa7FV/T3tuKId3e1jCP0BOyAtjEW2OCVPcujgmqBQwpl9dtrgwJGjjwkO8C0x9T3COKGP9rmT7FXxH7n7DRFhcPSAUMEe504VyOEYLnSu6/xzAXMHA+VO3+hmaE8JjfEpOGVevZcox4Vek1Ooo/vNMJWtHClMYilrJxeRZkAgJX9ApmbrKG4AvdMngdeApF2p8VnpDobvab0rcGRLmEbHDIUyhF7pcM6kaLMPyT/g9JuIeY57l7uM8qOxHIwx50eB3icWlZ5Hanj/HhM54oC+DGmI0DYwZ/f2bjLB+pMdE0MDgGGYy2WMiL61XTwNz585NdxcyBpKFF5KHhGQhIVlITLKwLI6P/2EN8qMR7LnlSnf79tpWAMDH5k7BZYd/h/HPPAtMn4f/6PgmEmUVAIRXxMzxRXh5Vz0AYM40r2Fi0bwZ+PB7piMvmjm2dBoXxGAZijHkKPWxPK8WZ6psMX5MPgCgsTNomOgLUQqTqcpRGNMnmBtXGENbdxxdSl4Lfxy8KgtH8dMpDAlLGBJ0Me0eY4Rn8i+36/I+MCauZc7h4PcEsQ0TUZ/c+zGCFGrLMYr/HaWwfOYsd58pz4U374PeaOEkA1RzhjgeE7r+uZ+TVKwAqez4vUo8eQ9SqNjhhnJEWNq+Z80KMhCJMMSY1yDkfJTGJ71yHxzTFmLRCBJWQit3VWl15OGutEeDXgf9PSudx4Q/x4TnXbJ81/IbJuz30b8KH/aMk80xoTNYOgkuE8p3hvMu6t4tp42i/Dx3n/14bG8pfVUOJ4Smu8/S9l2Xi8MxqIZ9b0lZhHuPqM+EK884GLbmfXf935/+vvkxGR9SSZY8HGTOLG+EqKysTHcXMgaShReSh4RkISFZSEyyqLerAvQmLNQ1d7nb3znWjspYIz66+Vpcm/cs9lR8Cu2few6rjhXjnFll7nEVE8egzY47Pm3K2ED7mWSUAGhcEINnKMaQMymPRXwr94YEeM4kWOcx4ZYL9dXlMIYoOB4TeUHDRF/Cwrgi4aHRqeQ0cJTWCBMTYVUWCYu77uG6vAWRCBMrtAZXb51ipeu7qpz4vSIS6uqyrx9hnipqGUfdtRylVTWQuKErtmJVNkF6hqnPzuTabipP6NdBwj0mzEph2LXcUA5TwkyDouY3WjgGkyhjgXfEsjiWbqkzrvimQjxhaRPB9hfKEWEQCq0pRMGjtIr/86ORgBFJrtxrFGTuzcXgyMO5Viwv6DGhNq+rUGPyVNB5NxmTenKxsBDmweRcSw1dMlblMIYnSeNIXyIoCze8wpMTQjRYbO9T5RG3LLtcqP67xHlXPbKwD4tpDEJx26Aai0YCHkyimpDjZRPuMaF7JrGo2egDeH9LXI8JjYHB2eLfFZYsOB1k1kxvBFiyZEm6u5AxkCy8kDwkJAsJyUJiksXhxi7lc6f7ecyhFViSdxPyG3fjW33fwrIZ/4mtR7tgceCck1TDhKi2URiLYNq4wmHo/dBC44IYLEMxhhylKc+/cm9QMp2Ja2NnH/yEhXKYVu7VUI6Ax0SCo7RIrFZ29CoeE4rreF/C8sgi4U7wmVYZD/OYCMsx4U3cGVT8nKoc/om8MCQ4ipAv3MD+2z+FlzHoQaOK47KfF2E+13ave/jGTZu19+FXGLhhZVw91N93x0Xdn+zTFN9vSrTp5rNIIfmlNwwlPJTD/448sOYgvvXIJjz5dg2Ggi8/sAFzfrQ8sN0UhuKMwbyoNzdBwOsgJMxDF64RjTDEIkybgLVACQ1x5CGV1mDYiMlbyuLmfAb5USeUwxSiIs/jnCMaWpWDu4aOPu21NAYcQ8iLxblrfEhYXJGF2K+TuxvmkW97scS99+V4e+i8pdx8MIaKIl6jimPkZNpktNIgFDRK6r1RxP+xvEjAeOeXjfqeDCT5ZY/GUJoucs4wQRAEQQw9hxRjRF1LF5CIw3rpp/huw/fRFpsMdu1KbBj7AdQ2d2NfgyiH967pMmRjpl0WdFxhDBFDhQGCICRuKEfIyr04JmgsAIBmTShHePLLcMXU2VUYi6LX587fl7BQViRCRzp7pceE6iWgi7mPuBP8oMIQiehXaD3eBZpVzgjTewlEGOzV6uBKdkEs6Jbv3BegLz8KSIOL51q2t0fMtzLuHOas0IYpxaZQE1NZSL+cBpL80lMuVhPaAAQNHd5zDN4UId4oUc3vwJ76NgBeRWowvLbnGACgobXbs72/8o7yOYYr8GEhALrxnhdhiOXpc6roqldI5T6Ym8Kbi0GjIBtCKFxDQgqlRN2qHBovAV2VD2POCudaGs+S/rw9dHJy5FmcH3yPneSX2tALpe+eRLWKF4P/WnHXYBU0SiZCvkt4wHtEf18mj6Owih26cqHO0PAbH0xGxJGGDBMEQRBE0jR29OJoS3dg+8HjHe7n5vrDwIMfQWT1HXg4/gFs/9BTwKTTUF5WhNrmThw43oEx+VFMLilwzzl7pvCeuH7h7OG/CYLoB8bYLMbYCsbYLsbYDsbYdenukw5n4u1X4kwKrTMJ1bmwO+2ZlWC9QpvvU6w454hbHKV2KEeHUlrT0Zec+Gl1niwSXDoT/KCiFmWO+3X4KmKfJgSiSJMDw1VONJn5LXXV1Hdel+39EchZYfAeUVfa1fPiPo8Jb5lFQyiH57hwRcO/LyzHhDGUwxDK45YmNXhZJBtzr/ZLV5XjeLswpk2086QMlvJS4Z23/mCjt38GDxHO1ZVx1XtA/G8q/ajPMWF7TESDyWOdfRGmNyToKnZ4Et9qvGLyTR4dmlV9kYdFhK7427csEcqRFwl6N8UT+vfH5IHhfNR5TCQ8RhXv94za94Tn3Rf7pGHCG4YijJx6L5ZCba4Qu3/RYJiHfI46T6+QEB9D39WwMH8p1rByyGofU8kxYfKyGWlyLvnl1KlT092FjIFk4YXkISFZSEgWkoLSyTj35y9hSkkBVt94iWeVdv3BRpw9sxTljevwiQ3/A7BePFnxY9x68N3YenYlAKC8rAhbDjejMBZFxcQxnoRs51WMx5YfL0SpXTEg06FxMeqJA/h/nPO3GWMlADYyxl7inO8cqgsMxRhyJtqmZIWB2H/7T90E1FFkwhJcin3BSXxEU0XDmRg773SYxwQATJoyRemfDOXo7tPFfofHtMvkeEElTiTnDMopwuy4cE3sv64EIQC02/kyzIlA9Svt+b6Vdke0jiyKx8iyyM51Y5pypt5V/eTybQBwv3dNz9gfc28ZFBdnl06p9t+HPCe8vR4llMP/jpywqz4NlVfd5JIC1LV0o9kX1hRWAQIQcpJjRqNkahR/6SUQtQ1xMiGp8JjQG8A4h22IE8qzIw/XsGdQdnV9tzgQjUQ0hg5vewGF2/aK8O9z8m1EGIN/gd7ieuXeL6e4Zl9MV9lCMap4ZOHru3otx6hUqMkx4YSh6IycntK+Bm+PQCLQEE8v1VNFZ6Qp0CXFtT/qShknfG2o74nzrprKfoZ5Wfg/p4Oc85iYP39+uruQMZAsvJA8JCQLCclCwiafAgBoaOvBK7sa3O0PvHkQGw4cxw35T+Fu6+doYaXAV1fgb73vxexpJe4kctb4ItQ1d2FvfTtOnjwm0H62GCUAGhejHc75Ec752/bnNgC7AMwYymsMxRhKysMhZPXbrwR52jMpwbqSm5Ggcu/0oaTAzjGheEw4MdNO+MJ551/gOc9JfqlLBhgJyaQfT6iKUDCsQ1c1RBomNGEjIcqJei/+kAKnS2EeE25yvHhQEXBWTafPmBnoe4Gt0Pr755BKfgdnl7E8qqkCSIgRJBDKYeiDNweIf58cg/53pNFO2Dpkq7q2ccAYuhJ4t4QiLnJMBMe7zsPBmFfBEiU3xRgMvlsRpTyuIw9Vgfe35/F80TwTJ3RJVzVEW21CUbgD17LfHxEOYTLsBT0BCjR954rirwtfyLNlG08osvB5YHgNJ+J/NyzD97ycMBTdu1CgMWY415KhHN59MpQj+BxNYSi6JLvOvjxNmIy/DfU9ccaG6R0xV1AZmjCpgZJzhom1a9emuwsZA8nCC8lDQrKQkCwkqzfvcj9vq212Py9dvRkPxm7DP9bdi7VjL8PXi34FPnk2qo60Ys40ufp32pSxiFsctc1dOHli0DCRTdC4yB0YY5UAzgGwbijbHYox5CjGxgoVIS77OldfZ9U7kBhRia3WGS0iTMTIq6vmztw3lhdBYSyi95iwlYk166RoXQVek0TOsmSyPV2OicJ8jYu168UQEl4REjaSsPSGDvXvsHCIwryoNv+EE9PudSm3ZWvLovrQYXkdy1nxjfRjfNIbSHR9d6toBFZ15WdTe/7nHx7Koe+r2gfdeU778QQPvCOuYWKIlCfH8cJU1USXvyMaQSDHhHNPcjwFDRO6lXHHY8LvgeFcK8LkKrwjj2D4gt4I5K8OoYZCmcqFenJCOB4TtjLuTQbpGGL03wtuQkqdIU5X5UPZFxyDjiyE0cKRhd+LoU/TXkGIJ0jE9szSeWcUaYwZrndTSBiK054pEahO7rocE1wJoQl7R5w21PfEzTFhMC5nssdEzoVy1NfXp7sLGQPJwgvJQ0KykOSiLA43duIva6txwwdne8I1qo+3ozg/hmnjCrG/QeSUaNi8HH9o/zbGx7qBq+7Ci4fPwYFNtTjS0o3W7jjmKAkuT58ijRSVk7LbMJGL4yIXYYyNBfAkgO9wzlt9+64FcC0AlJeXezKjX3zxxQCAVatWudtmz56NOXPmYPny5ejpES7pK1euxIIFC7B582ZUV1e7xy5cuBAtLS1Ypyjsc+fORWVlpec6dUdFNZvqmlosWVIlj33fZe7nLdu2Y0njNlx44YX/n703j7PjOMtGn6ruc84skkb7LmtsyZa8xFZiOVYcB8t2EpSN+QiQC5cELktCgMsX4Lt8ZIEvwEdCgBAuNyzZCAFCEhJCUIjjlURekshLbMm2LMmLrM3al5nRaLZzTtf9o/qtemvpo5FszWL1+/v5p/Hp09XV1dV9+n3qeZ8HXV1d2PL44wASjNQb2LJlC9asWYNNmzahr68Pu56XALR15o4dO7Bz504AwP7TAJCimkj0nRowfVi1apV+kc0ynDh6GCdHhD2nrVsBANuf2oZUSfQNjuDQoUN48MEHcXhIt4emptAfPHzUtHnoSAekTNDf14sTvSPm856eHgwNj+Do4EkMDwns2TuAQ4cWoqurC3fddRdODyWoSQDQNd50Tjt6BYAEbZUEh/uGnPEbGZ0LlTXRe+Ik6pnAxo0bsWrVKnNe/b3HAUg8+tgW3LDi9eY6HT2eABAYHqmbcwKALQf1sWoViX1H+s2xFixYgCxT6O/rw+jQKHbvPY2NG/egp6cHBw4cBAA8tHkzEiHRN3AaQ0NDuOuuu/DkCd2eyJrOOQHAzoOWYfbY409g1rHHzdwbrdvShDvvuhuvvcbOveHhBgCB5/fsBXC5OaeHj+pjAcDJvn5nnE6dmm3AoAcfegTN5zV9fN26dTg1oMWMjxw7gY0bN6Knpwe7d+/G3Zu3gtKMk7195pwA4LHj9libH3wYO6HbqNVqqDeX6WtTr+Pw4cPYuHGjuZ9G6nUAAg898kOsajsV3E9dXV1ndT9RQcjjTzyBjccfN+f0wx8+asd26+P4udd0Y/fu3di6dSt275EYGRaYXpUYGW2YcTqQ3yOJEJAqw86nn8HG0Z2o1WrI5lwBANi/ZzcAiY3/+S386C36nPbt34/BQYFUACdqOgGlc+ofSHDs6DCSROLQkSM4nPVh48aNePSwHr/TA/qRdO999+OFrfqcmsrabT+1fSc2Tz+BdevWYfPmzThy5CgyJaCaOnGlc6L7e+j0gDnnGUf0/XvoeBcSKbDtiScAAJvuvQ9H5tWwYcMGDA+P4MCBfvSNCgxKhd5evWBx7733on8gQbUxAHqe0Dltza89JeOb7r0Pe/PXhJEZlwMAhgZO4fDQKWzcuNE89w4cPIRTdQEoYN8LL+Dw6AA2b96MR547DCA1Y7v/hQPY99h9+roe0MeSSjOc/uu7m/DcdGD58uXIlMJAfx8a/Q30nRa44447sGHDBuzYsQOj9QZOHjsMQKKvfwC9vb2499578Uh+jxw7qhmj39/8IF7YqsGyFw60QYoEQ6cHcKx/2MyLN77xjRgaHsFAXz8AgSef2o7dl1TQ3d2NO+68C0CKo4cOApBoZhk2b96Mw4cPY8deCaE0o+PUwKBzP/aKi8zf37rt2+hIYZ7lh4/ovg0ODTvn9NT2naD78fTQsDknAOgdgdn2A3ZOZ3s/+b9PdD+dDQh/wQETZZRRRhlltI73fvGH2HagH+svm4cbVs41n58YBpbMbEf33E7sOtIH/Nf/xrz7/wLPqsU40fNVrLpmHRYPPIdTww08nIuJXc4YEyvmWzDi4rkd43dCZZRxDiGEqECDEv+ilPp3f7tS6jMAPgMAa9euVT09PUEbsc82bNgAQFu8rV+/HgCwZs0arFmzxvlee3t7dH/+2cYvPAwcOIKFCxeh5823mM+fOzpg/r5s1eXoufVS8/9XXHEVvrF7OzIIc0zqx6Z/3QIcfQH1psLq1auxevVqAMDj+3vx549/D+3VBKmsoKfnVtNe85ltqFZSLFsyFyNHBrB+vU64rnzFK4CvH8QrrroKj57ajZEmsHDhQvT09ODpw6fw0S33YUZnB4AhNJU9r+985THsG+zF/HlzcLzRj56e9eZYaaWCxbMXYfjYaSxcMA0LFy40Y/LhrXdh9rQajh8ZQL2pzDl17TyCv9v+MNoqCZpKOOP3tc89iGoFmLNgAXoHR9HTc6M+p3zV8KLFC/F03xFcfuUrnOv09/seAAb60IQw5wQAR+/fhW/s3o62NEFbRyd6em624/Tw/Zg/exaGxCDmz52Gnp5rAQDzFywE8Dxee8MN+MKzjyDL6uba1548iM/ufBQzOtvQyOw5AcDz9zwN7H5GX+PVV6Dn5pVmm5SJ+fumm2/Fyvk6Wd2wYQN+5wd3As0G5i9c7JzTyCP78C/PanCjvXMaem6y43T7P/8QtfQ0BkebuHrNK9GzdpnZ1t7RCfT2o3N6F3p6XgcA6O7uxs3tc/DRLTpB7Jg23ZnPYusBfOHpx/TxX3Ut1iyz1tHf+48nAQAKEkDTuV7VtIKRZgNXX7MGq1dfZM7Jj7HeT0IciI7fNWvWAHdvAgBcfsWV5py6u7tx71e3YH/9BNprVWSw82nbgT786eMPQAiBaiXF8ouXoufH9L5fenCvbuuylbjv0C5s2PBmU7q4YOEiDB0bRFs1QS3/jM7p4zu/g0ULZ+PZU0cxa/YcAH3o6enBqc178K+7nsS8ObMAy3HNTQAAIABJREFU7MZrbnit+a1+4dlj5jwuXrEC69ZpUGTdunWYtfUHEABOHhlAI8vMOT2xvw9//vgDmD9nFoA9uPyKq9DzI7p087FvboPcux/XvnIN8MhmvOaGG/GaFXMAAJVqFcuWzEM1dzWZOVNfx56eHvzpU/+FixbPwNN9R9BoKnNOlScO4vNPP2oWPV7z2hux7hLd3mfv2wUAmDdnFhIp0NNzgzmXufMXoDJUR+/RAX3PZM9i3bp16Fjai48/8T0ztnPnL8ANr9Hjfvi+5/Afe3ZgRqd2/Vp3w424Pj9W9oPvY87s2Zg3vYZje05iwwZ9r65evRqQu9C9bBEeP3EAlVo7Zs6ciZ6eHtR/uB9ffHYrLlqyGMBRXLv2Orw2H/f7v7YVz546htkzZ2AYNXMvAEClUsX8uXOwb/AkVl66Ct3d3QCAW1//evzRY5tw8fKL8Ojx/U6Jys47duC7h3YhTQRqbTVn7u6+5xnz949ueBPuv+d2M9/nzJkHHDoEmVawYcOPmnPqXnEpfvvBO/LrVjPnBAD7Tw7iw49+FwBw7drrnPc+4Nx/nyjOpmyxJTAhhGgD8FYArwOwGMAQgCcB3KaU2jbmo5RRRhlllDElQimFbQf0Ksz3nztufqCUUjg4JLBmYQeunj6A9z77fuD+ndi+4MfwE3v+Gx5ZvRYAsKhLvwCQBsVlDJjoqKZYd8lsbN51AivmTUMZZZxrnO/3E6GV6f4ewHal1CdebHvnK8hZoxVt16dzE009ZlfPxTS5QJ+lRCcYabhuHlkWt8EkKzwpBDqrKU6PsFIOj9ruOExQewV2oeSIENMtsPaEITW5vZJE9RFIST9ukRi3C6XtMdcDINez8LY1mq21OKTMhficMgzb3gAbP6C1JWyrUgS6RkUlPrxPZlsu3jc42iy0LmxlCdpaTNPvn9WY8Oco6SX71+NcgxgTrVwKYuUVVJLjWl3qfxMZsRINLDLdcggtihpqHWS5noUpXZK0D5VWFVuJxvqulEKayOD+CYQ7fe2E/Hz99kmzIqbT4Nrtjs2Vg/djpB4+Z2JilfRnJaLTYK144zaooqAsrJlZfZlRr6wFsGVXvtWp1b8J7wU6VqzUpMihRIh4mUwz0gY/lj8OYdstysImaymHEOIPALwNwCbousojANoAXAbgY/lLwf9QSj1+/rv50kUMyblQoxwLN8rxsFGOhY0LbSyohhcAtu63OhI7Dp3CsWGBd87ahnWP/z4aYhSDb/sUPvX0aszuO4nOXODuklzU8ptbD2DprHbMaHMFLb/4S9djz4lBzOx4aezeJioutHkxmWKc3k9eC+BdAJ4QQmzJP/ugUurbL6JNJ16KOVTkyuHahRbrT3Dwwd9WbypUU72Ni+MFCbLStfqVRDqJOr0gSwG0VxMMsUTDr/2+9dY32PaYiFxcDDDuytHIMpNMxOrWtcaEC7hk+d9+MuEDJ0VCkTEdCdrPd6mg+v5KIh2wiPQCyEp0+cUXR/qeBM4RpFkhIv1rKd5YoDHRyhI0UyqqP6D7T/v4CTzrw1kk/vz/3/q2tznbjJNFRLj1XIKmfivXkDDxy8EH6QFMRmMiTHa59aPfpsqTe18Ulfohjc6AMs+MsST3QHze1tLQHte/H5tNt71EMlcOT1eDgJOhetj3GCAQCD5GEuZaKh0gk/qYSolE6vu45+09bntR0MfeP/54GFtiz+pUKYVMgYGcEVeOmL0n05AJnGsyDez5YKsvOuo/F2QOxLSyC82Ucn5LijRfisAr//8nWmOilfjlw0qpa5VS/0Mp9SWl1D1KqW8ppT6hlHobgJ8FMOXeLHfv3j3RXZg0UY6FG+V42CjHwsaFNhZ7TwwC0C/x9DcAPPTsQXw4/Uesf/R9GOpcireOfgQHL3obnjkygEsXWPbD6oUzMC0HKVYvnAE/0kS+LNgSF9q8mGRx3t9PlFIPKKWEUupqpdSa/L+XDJQAXpo5ZMQqWzosFK9W+64SPIFwVzn1vzFROkpcqqkIXvyBeBJnX8j1y//ufVbwsZHxhCGyWi3i2/QqZzFjwiYn7ks9AQJxwczQVYC3WSh+GXEAcdgZMQAnF0082WulTKiNWhpZhc1ggY4ICGKdA8IxbNV3IL7aWsQeoWvpgzROct9i9TZkvth2nnt+t7OtCEg4UxQlW/RxwOhgX4+LMCKYM3S+UStRH+jyVsZpH/+a0JwhoIOeGbR7DOg4k7WryF05Ym4YxDqoe+2RAGd4LA0WxYFCFU3uQ1AlZCRUI3ah5FBSyR1AaCyUD0w0w7GgxH/UByYifac/488L5McSwbYmu46+Ra8FLaQHdFB7caBDCgFZwBzjf/PfkrGIX7YCJiaaMVEITCilbmu1o1LqiFLqkZe+S+c3tuZiTGWUY+FHOR42yrGwcaGNxb6TQwCAG1fOxQsnh/SP6PHncMv33olfSO8Erv9VbHvT17BbLcLh/mE8d3QAly2w5RqJFLh6aRcAoHvOy1dH4kKbF5MpXi7vJ2OdQ8cGRvAn396O933lMVO6QdEoYEzwpLDVyvhIPU6j122r4PNaJQmV/jPFkrEwyRCxxN9LGLZt3+HsF6PKU995okahlEK9aZPnGI0+prJvwQI3KaREuq2olKMgGefU8ZB1YGn+0VIOoctXjhw7brbR+bdXQrvQjCVqsZISGovAscVQvYvBrJhNa2xFmvoR+7x1e2x+evvx+bVl6xPONuL2nE3ydN/TR7Hig9/G9oP9wbaiJK5V302i7jFfMnYd08RPdr2Vdt8dghgTkTkjGUhHzwxTUnDGUg6f3WJBvyKr05hjh8uY8IA9GZZX0H7VCNDRyimDJ+oxQJX64YyFB9L4VqdAnPnUzEGVIvZIWwTMMKUmSeJ8l/pHDAef+dJU+li+Y4cBaaJ2oTCAkD+2fn/5bwltUqp4HheVf+htLw0b6VzjjHahQoi1QohvCCEeFUI8LoR4Qggxpco3yiijjDLKCKN3cNSsNlDsPqbdNm5YMReNTKHvoS8Bn/4RzBg+iD+q/hbwpo9h7kzNhHhsby9GG5kRVqP43Q2r0VFNcMvq+eNzImVckHGhvJ98c8sBfPq+Xdi45QCePTLgbKMX7daJVSvGhA902G1ubbX+txZjTGRcOyFMMmLJeOYlDLz7TaXtQlMZS05gLQMjx2qvhkBCyJjgiQaz+CuwGPX34W0GK9yMCeKvcjayzI6FA6rofxOpLRl9vQ3qe+waJ0KgmoYr7aQJ4Y9FlqnC0gvnuJGENpb46WPF22tZDsGTJH+cvOvD41xKOZ48oF1M/vLup4NtBlRpZcUaG/dcA8VhvrDk3tdcsCyBEDjL8vIkn3FkthkdhPD+IVYMH2v+d2x+xoATW3YVgn5mHxnTQVDRfeh7qdFviZRDxMpQGOASZUxEEnWzTxreqz6A4wMJuuxGBucEIKqPEbAzvH4YVkTMYpZKcmJlLQVjYTQwAk2IcDz9c9b9i3/Pby+myzFRMRZXjn8B8DsAngAwwd0to4wyyijjpYjbnziI//vLj+H1l8/Hp9+11n7+5CFcvbQLV8xN8KfpZzDnzk0YXXI9Njz3Tlw3Xytuz51WAwBs3qVX9i71gIlrls3Etj/8Uad2vYwyzkNcEO8nsQTHblPRz53EKkiQOTDhl3IwxkSEdVBLJTJlhd5oW4yKzjUmQnFJ5O0lzv9T32NgAW1LpBaKjIEvbZFVfa4xAYRidklObXfYItRepDSEtxlb1ZUCBixw9CwyonrHE1opgIqU0TKCWiqj5RAkOuoLbWYqTvNvqSPB+hFLxglECssD8rFoUcrRSsMhqIX36PE86BflbMQv53Tqqq79ORuQB42Nf//wvC0OFhQLXMaSZ84E8I+nlAXbYiKrVG4QA87ijAm3r07fMwIf3GNxcCwAGD3GhAsy2FKOKICTEIgYKQtLCKTh/VB5qUlBGZcMj2WAhIL5TqVkgM9IsKVVsQQ+xiyxQAeVtYSlF1XvWWfGggArp3QFeXvhdSR2S1GZDG/bGSd+bzUV8sraQKizcJ8JZkyMBZg4qpT65nnvyTjF9ddfP9FdmDRRjoUb5XjYKMfCxst1LL72w/1oZgp3bjuM3sFRzOyoYtuBPmw/2I9P3lLFtXe9Ha9OnsW2le/Brit/AwefewI//lptHTiro4pUCtz/jLYl8xkTAF72oMTLdV5MsZjS7ydjnUOtHBbGwphoWcrhMSac/Rrhi6zRGcgy1HJLSkoYyFWAknGH2l4kLpknaqtyS0balhasPFKikUqJwUaxy4dbhmJZB/54mOTEo3PTYYsYE0anISJ+SWNBx64wN4NEhpR9J6FNBLqmz7Z9b9rV21hyr7U9YiUAnDERB7YKhTvTuHuJdT2IAxBhXX34nVg/AvFLtu2aNa+MHutsBPqou34feDutHUX8cUdU5JAn9yRW6feb5oLP6ImJx9J+UlqGAz0z6FgxbQJbbhDXHiGgMObsYLQznPZgEngA3jkTo0MGyS6BKgEo2YolwFgRMUA1ERbo8Mcidu/rcgggMfejO05RhggxXyJaIfS1mAMIARMx0V4S2S1iZhW6tRSUcvgMD/5bUsT2GavGxESLX44FmPiwEOJzAP4LwAh9GPP05pGrYt8HoJYf59+UUh8WQqwB8CloBe0GgF9TSj2U7/MBAL8EoAngvyul7jz7U2odXV1dL3WTUzbKsXCjHA8b5VjYeLmOxYHeIVO3+uyRAaztno1vbnkB76p8B2996ItAWxd+rvFBvGLujyE7NIhqIrF25UIA+iXlysUzsHV/HxZ3tWG657xxIcTLdV5MsTin95PJEmOdQ3yl3H9Zt64cxYlVK/HLYU9jgieFMVs7Y+/pJBN2pVUp6+bhiAGmcQozAR1t7VaPppEpo7cQuGhkLJlwVrX1/7RXwlVYLkgJIGAriEgy4TMm/ASP2g8SycwmJ3q/zFkNTaQMbVWdFVoJkdhXcwuqxMQvVaH4ZZEQaNZiXnBRwhgrIpVSJ5nBSja1V5zsnEm8jwe/Du2dLuhtrE7PYlW3FZhRtK0lsMeAhNg9Qsl97BwtQ8i9JkIUlHKY+a7nDD0zeMmD/n93H0Bfx6guSYTh4Aiw+owEdr56PNxzlkIgibFsFC/xClkH8XIIWEeeyDXhIA2Nha/f4TISXOHO8Lxi5wszFr5+y5lKLwiwCu4RZZ2GotojUb0NPe5SnIkx4f6WuIyJOCgZlobEwYyJiDNqTAD4BQBrAGyAtud6G7R3+JliBMAtSqlraH8hxDoAfwbgD5VSawD8r/z/IYS4AsBPA7gyP9bfCiGSszudM8ddd931Ujc5ZaMcCzfK8bBRjoWNqT4WvYOjge0WALzQO4QfuWweAOi69aGTuPWJ/4n/nXwOYvkNEO99APtmXoe9Jwax6+gAls/pwHfuucfs/+qL9areighb4kKIqT4vXiZxru8nkyLGOodcxoQPTCjnX7OP86LpJ6D271BjgiXnkZW9Ivs/KWwST21SF6QEKlK4ZR4e0PHgQ1ar1FK24/oTRLGOrfjGXAB8xoRP2yZXjnokOSmyyKSX/8HRkHFCyRjgsU5IKNBLdqhpYkwcPHyEbaNSjjhjgko5Yg4bUTHAFgk3dzCI6UhIiYCWz8ciSIKd48ZBEN2P4nKiTffdH23TBzpaBfUvxpigbvjtqYLkjtoxCXzkHiE729i41yIr40rx1fmQdWLnuzLPDAtMhCUFDsBUwPao+FoHjCUQll54c9pJrGHuVbc8RWuZtBK+jVluKqXyeSaCOWPu1XxsaSxasRgMWBBxFLFCuhpQpTEwtq8RQdLWVqc5mBG5R3g/YiBNrAwlY+N3JoYD/y0pAhlalXJMNcbENUqpV5xtw0rf1aTSVMn/U/l/5CHXBeBA/ncPgK8opUYAPC+EeBbAqwH84GyPXUYZZZRRBrD9YD/e9Ff3Y8OVC/Gpd11rPu8fruPUcAPXdc/GA88eQ2PXA8ADH8Grhg5i49xfQc/PfgyQEstmP4+9JwYxNNrExXM7AfSaNt6xdhn2HB/E/3Hdsgk4szLKAHCO7ydTLbKCl0vArv6fzYovT9ACV46mMtTmWAmAcb3wXq6lEKbsYbieYXqbPY6MJSfeC74v+Nierzzq/mdIpF1pNiu+EdeQonINwLIpRhvuS7guvZBOGQq1FyuH4ONxatgFfZt58kSlHP6Kut4W1yYgd4MRDsRQPX5qkyfJkiw6VlgCwKjtkaQ1ek5G9C+eWNF1bDWfeP8y75rGjuX3SffLTc54UDtnI35J7cfyLQN0nEWiRuOeRrQYAJjk2dcfIO0Ev81MKVQi2g6AHicSQGx4CTwQZ0zweytI7rN4e9SdWIkKlTwYRkIjcl4FmhoGcIloOBQJSMYYHbQtprnQqr1MWbAF8IVg7bOJ9quytuOivfrfSoQxwW1kM+9eVQqG7eH3r6jvvEwmvEfC8fTbDMeCX1NnlynHmNicsxnOOoQQiRBiC4AjAO5WSj0I4DcB/LkQYh+AjwP4QP71JQD2sd3355+VUUYZZZRxDkHilHdsO+SsAO05NggAuGhmig+1fx3/545fQ5ZU8fbRP8Tzq39ZL40BuGh2B54/ehp7jg/i4nmdTtuXLpiOz/zcWtx6+YJxOpsyygjinN9PplI4jAl/dTmLa0wU0XkB9yU0EL/MskJbTcBqLsTU6EnFnixNXftENxk3K4WVEJjgonT+sbiVaKxUIMaKsNsiqv15wlBLbRkK9QFAXnoRUrOpT0P1ZrACSiyG4Fhsmys86I4THwubZIZj0cxgSwoiIENU/JL9HWNZAFSiEM4nvnLvbgv7G/zdgk0Rjq2rb+D3Q39n7MkTfTW2EtwsaM+1Mw3HwoizFiT3gVhlZkUs/eMViccC+XyPOVEwYUTdfghaFJXkmHKDCItB5MKtI75ArAcU2mPpeSsLBClJU6WVVbAPaBCYEfadSk2k1wcPmGiGwEkSYZYQg8lek8zpu5QClTQ+TpXIWPDSKsADJQm0kHGr4KhriGpRJtMCOCt69scYMrx/RdvGO8bCmLgRwM8LIZ6HLs8Q0ISIq8+0o1KqCWCNEGImgG8IIa4C8B4Av6WU+roQ4h0A/h7A62HFdp0m/A+EEO/J28DixYuxceNGs+2mm24CANx7773ms1WrVmH16tW44447MDKiS1A3bdqE9evXY8uWLdizZ4/57hvf+Eb09fXhwQcfNJ9dc8016O7udo6zYMECrFu3Dps3b8bhw4fN5z09Pdi9e7fjJ3v99dejq6vLodksX74ca9aswaZNm9DXp22MarUaNmzYgB07dmDnzp1nfU5dXV1nfU4AzHm9XM7pxVynJUuWOPu/HM7pxVyn3t7el905nct1Aux9MtXO6ftbtpvPvnLbd/Ezb70FW7ZswSc27UO3OIpX3/n7mFd/DndXX4/dc96Bxw9Owyv37MDu3VV0d3fj1MHncWpEv+jXTh/B8pXLJ/ycJtPc27Jly6Q+pwsgzvn9ZDLE8uXLx/S9IjouwF054uUaWhgxnlQDFkQw25pam2BgpBFlHRjxS+/lXzMmPGCCJWpVT9jPZ2DMnjvP2UZ2obpP4Qu+X3ftAyetGBN+3xOvDIVT4KkfAZ0/s8ySgeEGZuXOD0b8Mk+SOCOlkZ8XEOpcANaxo1JtM9to1TRNLPuhCipx4UCH2z+l4nahrbRHnDKZAneImCCp8gCIfChbunLwQ/tj22jqc84UMH/hInebYUycBTBhGBMRYCKL3z/8f2PbbFlLPLlPpcQQu7eapvyjSKBRM19iZSMEQAzVlXlmUAKfkH2qB1gBxaUcBILEWAeJFGivJBgedfvOSzl8AELmjImYPawQkfKF/GtFApLGIjPKVLFsDzMWmddeBDSNaUwQO8Mpu6qysYiU19Bcr0UcRYwGBh2LOWJwIVC/5AWIM7PoWsUYEz6wxX9LCsUvWwCFk4kxMRZgYsOLPYhSqlcIsSlv6+cBvC/f9DUAn8v/3g+Ac4KXwpZ58LY+A+AzALB27VrV09MTHC/22YYN4WmsWbMGa9ascT5rb2+P7h/7bN26dcFn3d3dJuk/0/7r168PPlu9ejVWr149pv3Lc3ppz2nhwoVYu3Zt8N2pfE5F+5fndGGcU9vsRcA+/RidufxyAPqcLr/jP/Dptk+jPavgC4s/jM+dXIMPXnM58OSj+KkNN6F7iRZSetPrrsM3/+VRAMBP3XIdls3uCI4x3uf0crxO43VOL8N40e8nExn+9S0Kp5TDS4TohTIUF8xLG2KODS1WzZuZQns1Agh4q5yxOm6y6iRBTUcMsGBFldpbepH7Yk1JOhChX0cE+hqmf6G4oK8x4WtdSCFMP6gMxQcLYhT7me0VHD89ioERBkzk9HDqh2+fKqVAVYioaCLVu1eZEKgpoYiJ9zEQZHAo1LqI6WPwHJvrX1DfjcZAxGFDMEFS/1ixv1u6ALQs5dCsndOjTVyy8lKnPdrtbMQv6VixleAizQpXJDTseyVn0ox6IBfAGBM+08dhTHi6CjnzJVP2flJKWZ2BPLmnZ4YpyYiUhvBSjthKOyX+sXKARGhgwgFVvPvRF4O0pVUuk4LGInS2cJNxHyBJzP0dKSfKmRvDDWXGItS/8VkRLlhgt+lniQERm00AFeferxaUcsREgJWiUpjwGWlKOXww6wxjoa9VayAhyxRexX5L+Fdj7kT8uLH2fCBuvOOMpRxKqT0A5kBrQPwYgDn5Zy1DCDEvZ0pACNEOzYrYAQ023JR/7RYAz+R/fxPATwshakKIiwFcCuChszudM8emTZte6ianbJRj4UY5HjbKsbAxlcfiYO8QLl+kJX32nxwChvvQ/Nov4QPDf4nj0y4FfvUBHL7ozTjcP4znjmhJoEtYyQYHIpbOap/SY/FSRzkWEx/n+n4yWWKsc8hZXWYvjfyFuWhFOmYz6dqFhsKDHRW9ZtVKrNKn20vJGBNG/NK+4KcBnTvvX/5C/sST25xjpYkVv4yJVVZ8F41m5rTXClTxdQF0KYcn3JnvnhYwErIM6OrQbkT9w3WnvUTaY3HGhKHle0AHXQ4tnCfQ29fPzhfOKmzTB4RoVTeiMRGt4WdJa8xiVEoEdfD8vOJWiPZvhxLOE6RIexQxRk97VV+Phx95NNr2uYhf+skY/6wVcFKkt+HPQQMwRTQmmplruRmj7Fe8xNok9znQNdrIzDPDMClEpL3MJrt+kqlUfOWeMxzaqy4wQceKsh8yvU8iRXQeyNyaNKZzciaNiUy584SLXzYzZcaCu9pIEUvu4yU01B4JTxLg4rpyFIAq3j50zlKyMg/vnEl/IgZKxsQ0qUwmkfIMQIJyfksItNLtxfVlWolfTjRj4ozAhBDifwH4R+gf/7kA/kEI8XtjaHsRgO8KIR4H8DC0xsS3ALwbwF8IIbYC+Cjysgyl1DYAXwXwFIA7APx6XgrykgbRbcsox8KPcjxslGNhYyqMxdZ9vfjY7TsCWvbBvmGsXjgd09tSYP9DwKduhHzqG/iL+k/iiTd8CZh5ERZ1taHeVHho9wks6mpDR9US6VYtnI6ff81y3P6+10EIMSXGYryiHIuJjxfxfjIpYqxziCcXRStgReBDLY2XIRSJOjYyhbZqaDPpl174yT0vh7ClHB7rIMtMEmGFFvU+A4NDzrEcUTpvhTGROokbjYwFJX/1SNJF51X3kolECAO4EFBDL/S04usnwo0sw8x2DUxwAcywPZcST0BHM1OBCwAlLqMNNymUAkiKaPSy2GYyJlRKwEatEuoZmHINTx/BnBdpE/ggg7KJUBFLwk+QGzx5ipRyUN9PDZwuaO8sgAka58hCMH0WWqDa+eTfW4qNBU+euTaBrzFhrmO0pCBno1CySxbAbF60VSSG65l5ZhAzJ96eTfyjOg3C2o/y/tH5tlUSDI26jAkCQHyrW+M0I+PgA4GSMV0Fk4z7ZWEFZSNW/FKfF40FfcUeKwTvRBQs0tfEL3niYrSaLRVq41jWVsi+ipXr8DIpn0kBFDMmZAFjwhWyVM5vSVOpQmYb/w4PZ9tZgH7nI8ZSyvEzAF6plBoGACHExwA8CuCPW+2klHocwCsjnz8A4NpwD0Ap9REAHxlDn8ooo4wyysjjj297Cg/vPolaKvFbb7gMANA3VMcLvUNYMacNr2zbiJ99+svAzKW4be3n8cn7K3hgmbb7XDhD1zN/79ljeM2KOU67lUTiD3uuGt+TKaOMscc5vZ9MtSiivbs6BfFyjVpEY6KpFNoregXWd3PQNPoQtKA+GPHLWCkHc+UAXI2JSqLFJYkNwfvHv0vHSqUtr6DkniwIpSkpCKnolBhE7ULTUBizmcFlTJi+20Qt9ZITotjP7NDlGxyYCBkYmfmc6NxcHK8mE3elPafzO2PrlHLExfYCkEEV2IWa65jgFGN6UHtShokkjYce9xDoUgqoSN2HWLIrRDyxqqU62Q51UzLMyEGfpjcW/Ds8RhsZ3vrJ+9GzZgl+/eaV3nlRP8OEywBlkdIVgIC98P5xtAny6+gCcTIAUhKmMeHrDCTSCpz6TjvERhquh4AVzQufWUB9jzFByL7Xvw8AW8rhHCszeti6fCVSyiFleE6AtTr1WQdCxAUktVOGBXCCRD0CCNhxzwESr/SC2oqCRex+HPXHPb8f3fO17fnMJy4sGp6XssyxCIgUE/rlQEeRRS+NmbMt0/e+vrfijImWDKHJzpgAsBtAG/v/GoDnzktvxiFqtdpEd2HSRDkWbpTjYaMcCxuTfSwGRxvYsk8LlT510FKAH9/fiyU4inft/HX83PC/YFPldcB7H8B/HFuK5XM6sHSWLtNYPLMdgP7BvWTutJbHmuxjMZ5RjsWkiN2Ywu8nY51D/J2U04CdUo4Cgcu2ShK1urTWmeFqtRGJjFB/DWPCU5wn0TwgZEwIAceSj/oA2JVCkdh1skZTJwydOXtrMF+95VoMgY0fJVYyLJUgoUo61miQTNgSFSpDofE0x3KwJr64AAAgAElEQVQSJP2vZUzYBJ/GwmpWNM3nAAyNHrArtMaVI0+6MmW14HkNP++XHg9GNw9KOVQhVR7QAFPM9rPQeYNR7GP17nR9YwlyNcI40QKnMrCtpP7SXJJpxfk89jegy2mePjyAP79zJ/woct5wthXoZmgBSf/+IQDMvSY8uffHyXfRiInHWicXmhd5e/l8Gmlk5plBSbVpL3KNaxHxS+VoQoTXSkrkwER4fwOhA0ymwNgIYR+kEDlzIwTUhLDn5RyLjW3MbjfJS43sWCDve6g9w8saYtsSwZ4LBCIyUKUS2HtqQAjQYFwopFvgJkRMr8QHTjigGup00DX2p26WMfBGKee3RN/7xaw3ftyxbBvvGAtjYgTANiHE3dAuGW8A8IAQ4v8DAKXUfz+P/XvJIyYydqFGORZulONhoxwLG5N9LJ47ctq8yDx/zNJej23+Cm6vfRTT+yS+0f1hfGjXFdhWm4Et+05i/ar55nsLu2xed4lnCerHZB+L8YxyLCZFTOn3k7HOoWaWaVeLZua8QMY0ICgoQWyrJCax59/tqMaBCS1+GSkB8BgO/gtvpSLDUg6WnFSkZWG0VZJAsO7SVZfbvucv+NRHA0zwhMFbyeb2hL5+QoMSEKO+HyYTviZE009OnPb036QxMTDCSjmyeGkIX/2u8H7UvBVaKVFta7f9y6w1JW/H9F3q5HnUBxmyYvtEQLNHSDyVr04Ta+O0P2dYYhUDNDQbpRll91TT0H7U1NxHSiX0HNF9v2aNJV67uhRxhhCgk28hhPP//jj4fSyiyscEJAOnFLKYNdc4ngRzAUn//nGBiVgph2YxbNjwJrMPJff+/OSCilEBycjKPb9XfY0J2gdwrT8V65+CLWuRLJEmsMB3hpH5nPOBCc6KABBqquQ6LM1Mmecnt9uteK4xHFRJfRaL8gFLDwA1QrBuORbNrUrql6gQSBPXuWlVQhMD/Xj5TyhGqwwYlLGxoD7WYqBkfqwY8DilNCYAfAPABwF8F8AmAB8CcDuAH+b/TanYsWPHRHdh0kQ5Fm6U42GjHAsbk30sdh3TopW3rp6PvccH0RzsRfb1d+PHn/s9HGtbDvHeB3By5Y9jcLSJvScGcWxgFCvmWWbEnFxNHgAumdeaMTHZx2I8oxyLSRFT+v1krHOomYV10EDxahgAJ/GPMSaqqYQQoStHPcvQnotfuqUcMO3pY3srmVIy1kGslMNlCfgMjAOHDjntpYlAR40YE418H72dEpDRZqhZIfIV0FGvzEWDGeFqtXYpCMUvOTsj9VdG8z+n5f3j9fiUWBW1l0q3BICPLa22Do+OsvasWwcQqbmPOAdQP1oxJgh8ClbuZViLT+dsE9pIKUeBEwGgr3GRDWZMz4IsawFgz7799vMxUtGLXEP8z/V5xdkUphyiEmd7OHM6C1fafZcK2ifm1kIr48Q6MRoTDCyoVRKMNDJs3749PxZMcl/xyw0IEEpkoBdA88nXTuBAXFslLn4JABWmZ+ICasJpxymvCNhNVrNCn1fT2SaFKNBUYfoYTWWen+6xfCYIzLGKhDut24jbd2KC+CwG3p5zrEwZXQrAtyyOl6AZlo0kUMUHJnLGhF+uwUq1mplyfkuyDFFgguZFJZFBe+eq33I+YiyuHP8I4MsAHoOu3fyyUuof6b/z3cGXOriv/IUe5Vi4UY6HjXIsbEz2sXju6GlIAdy0ah7WZNug/u4GiCe/jr9qvB2Pvf7LwOyLjbvGA88eAwB0z7FuG3xl6bruWS2PNdnHYjyjHIuJj6n+fjLWOZSxFbBmpJSjmsjAPtHaZ8YE8OwKrZvAax0Esgv1yyEAK1bpU8e5+OVI3U3GhbO67K4G03kdOnzUaU8Kgc48eT494jMmbD0+naepaRdhmUcz8wABP0li+hg+wyEmtEn96CRgoh4KBZ6JgcHH15Zy6MRqZNQV0+RaAn5tvYwkmbRfKrVLQQzAaktDYKKV+CUXOYwxJuicHFG+FnPQaC5EXD4aWWZKOfa9cMA5jvlOC8vS2FgAcYtRW+YRgndAnDFhARwXjLEMBxE4m5AuhZ0XoV5E1ZufXKeB9tu242m9T2ZLCjRjJkx2q5FSDqvv4DOOYPpO+jOcTWLEL6U9FgcefdtSbj/qjyE5lAA5Y4I71yirS8Hbo7/TxJaN0POTA5YaRHSfW/SKE2MkcAcdc15eWZjvZmFKOTxtFwu2FbgJyRhwYp9pYf9yxxMRY0zY8rimUs5viQNKRrR2KoloKX55No435yPOWMohhHgzgE9D120KABcLIX5FKXX7+e5cGWWUUUYZreOxvSexcnYV6/f+Dd5Z/SxGcRF+8CNfxF/eqXDbEi1wuXSWpgY/8EwOTMx1Sza+9O7rMaOt4jhylFHGZI8L5f2kmcWpufRS3BZZ1eWlHDHGRCK1TR5/sabv0XMgZkfaijFByS6VcrhggVsL74tfOiKHeVJNq/pDnsYErdxTH7XQIMy2MFHLcivOUGPCakK4fed07moiXKHRpl15JJE5eyzXOpWLX1L/nFIO/7ykdMaCawLocQ8ZE75AHxcJTWVcbK9WCcEna2kZZ9lQ3wcZcAIQMBGKOjqsnaKSAulbJCrUGWOC59X8e357/H/9e4FyMKXs3Pf3iwExAFCNsj0s+ADY+4Rf4yDJzNyygRFPUNGdFxYQoPbaDCBo+8edMmJCsNWI+GXGruOoB9DpY1lgcrjeRGctBYmi+sfiGjK+bal7r4ZCtXQJ2nImCEUzB06MxoTH6tC2qsK9v1k/0og1KdfH8MEifX+7ZW0cAA3YUvm10u25IAOVeaQRxkRhCY3Pzsjc+5hKOTLllihlSplnYMz6sxVbqpomwbxwS7BCAG88YyxvoZ8AcLNS6lkAEEKsAHAbNF2yjDLKKKOMcYgXeofwG196FL904yV4y9WLAAD7Tgzi0LNb8KXZn8W87c/gS82bMXP9n+PJo02kchdWztelGT4wsZwxJgDghhVzx/FMyijjJYsL4v2kmSnDVOAvwvTi21lLC+nrUWBCIbeZdBNaLpjpH4sr/fNj07GIwiyFdeUwK8gyrLs2pQ2JhBRwBB+bnvjlaVPKYVeQ6QW93lBA1RXvqybheaUFpRxUolDzEkbOmKh6q7pWyJJsHH3aO+A7ivjCnbpfIZsi9YTuLCAQX0GWec19I1MmceGr32mB/oBJdINSjnDl1m4LmQDkUBLrn2IJchFjQhQwOogx4QBWBWVM/LyAELTw2RSJTIL9wgRe/6udQ1y9DQ0KhAwHv/zHTYJd5sOIx1QSQmsWAAgYCVIKtBlgz/ab7oFqEuo06OQ+VuKTz+kcLKA5w/tOYz+UAxMOCJLaZFyxeeazkQyLgcYiohVB4+uXciQsuQ/BHV0a5ANx1A9f24PADDo3uhcIvBMifC74oIrPsiAGhq9nQX23ZU3xMqmYowidM4FSeptXJpMxkVmlnVXoHHlwhp1bWsUYExHAimIqaEwcoR/9PHYBOHKe+nPe46abbproLkyaKMfCjXI8bJRjYWOyjMU3Ht2PR/f24re/ukV/kGU4evdf4lvVD2FWdgKDP/HP+GDj3dh/WmL7wX6snD/NrAJOb6tgZkcFp0YaWDCjds7MiMkyFpMhyrGYFDGl30/GOoeamaXKO84E+YtvZy11Xu4BF0gI6Nx5oh5oMTTdpDAmrlmLWW4qZcACbmvIE+RK6iVx+TZa8V+ybJnTHmdMxMQvjbUi1fdzRoJXemEV8QvELyUChoMPJMTGIkmkFgocHUMph9OeW9POE7w0kVBCsvaKNSYoYTRlMt5qNZVexOrM2yKuLE2WFMaALhIDrDvJjv7XMCaclVf9b1TnhNHeY24bdO1XrLzM2cf/Hu+f2XYWZR5ZATAxNgFJ957M2JyOlQ1QSVMihXO/KuW6OfiMBCnsfffKta/O93HLIQKgUBS4q7BSDmKQOMdibB/OVDICkk4pB+tfpcjZAlE9CxeY8NkUBZoqyt5bI42meX46QJxnrUmMI913EV4raUVxY64ciYxbggLImUpe/1gZSvya+CCN7bvP9CJmCbFV/PuYnqnNTDm/JS5jIgQlfStb3nY1kVPClWObEOLbAL4KrXr9UwAeFkK8HQCUUv9+HvtXRhlllFEGgO/s0PnWSCPDqSN7MP3238Crnr8X98trceOvfRnt0+ajs3onDvYNY/vBU1h3yWxn/6Wz2tE7WEf3nNbOG2WUMYXigng/0S+8MhBio5fYabUUe33bT5aAhlaimbHJc0o58pfY9krceQPgTg/+Cqg0xyPLTZ64VLyXde5gUPE0DRoZCUjqJG7QY0zwVcS6t7psSlRY4tdoeglDZEXVuGh49p5pnrj4CTygE1B+vnTOMtdO0AloTGPCY0wwGr1vT6hyFkNRzX0tZQlyU6GSuEmmL1ZpEv+KCxTxsYgntLp/1TSk5QOIr3AbcCwJXD4yluzy/lHbhrXjnC87jwKAwT8nf5u/gkybYuCd7nvI9lDKZQEFpQ0GEApX06nN0UgpRyEDQ3ANFAukOFoHDdc5Qkprq+mPhQsUKqRsziTCAoIcYKTkmAutckcJ6rs/361ThjvuwoxF4rKRMjiuHDSGpjxJCtRycCwAVSLilw6owpgCPiMKYKUcbNwrUgZz2inlcK6xV2aWedc4ogfDn4P+cyZTtsSDnyf9HXsm0H7VpPUzvMguNDbfxzvGwphoA3AYwE0A1gM4CmA2gLcBeOt569l5invvvXeiuzBpohwLN8rxsFGOhY3xHotTw/XwpStT2HHoFJbNbsdb5Q/Q/rkbofY/jI8k78VXL/04xPQFEEJg8cx2bHuhH4f6h3H5ohlOG/OmaZ/rFwNMlPPCRjkWkyKm9PvJWOcQlUr4tGJK8qfVUow2rEMF7QPY+n6+LcsKSh6a9OKaQIqQ5i8YfT10h9B/VxNp6MgOkOC9KPNEPZHCcV+gJE4IbRkail+yl/+G255OnkMggRgdPLHiWgxFpRxSEgMjUsohNbskxpigsQ9KOTx9DGdbnuxmyo4dgQVWY4L3Iy/J8RIhnjDGnAMAXsrhgyBx5w2ygfRp9DQNYhoT3NkiVk4UE9q0JUi6vZ3PPMO26X9jFqNjYUX421yWRcjoACgRD49FIJLe10t2I4yJsHzBA4QkwnIIzmLIGRM/eOhhtk8OFqSh4GMxYwJOuYF1ANHbpbDHGuSMCQJBWCkHTREhhCk1o/nulFf4Gi38HqnIkD3CgLjY2BKI+J1N95lzon6kifSARwuqJIzt44AqQQmNHfck0KywguExbQ8pQlCA63fESkN030JmFteYAEKHEn7P8d+SrIAxQceKMSY4aOFvG+84I2NCKfUL49GRMsooo4wLPZRSeMUf3IU3v2Ih/vZnrzWf7zs5iHS0H3/X/nVcNXgHjndcjdNv+Rt89u/34aNMH+LiuZ2466nDABAAE1cvnYnv7jyK11+xYHxOpowyznNcKO8nRTR6W8phSy+I8s1XfImyzVXcK1IGrhz0kp0m9IIf6jTY1Xk/8dcvwlyYjrMYfGtFXsddSVzBRzoWAHSwUglnJdOzVuQgSDWV6B1yEz9qr8KSJGfVNNH2qb6jCDEmoqucIrRW5EKBPAHlSv9hKYcGfbhwXiNTqOZ6EzHxUOpHIsIkjpcUxGrugbjGBM2zioyUcihrTTriMUT0uEaAiRarsAR0+MwCX+eE4wX0vSJBV78Nu83+7bNlivah/61VZCAGaCj7rbRCCqwfgZAlQOUGBiwwwJ7ezhk9tBsvUagkwgPiXJ0LzlDwQZUQBOHWxPY+oTmdSomBZsPZJxFWU8Xoy7C+V7xnSeDK4YM0EY0JrldjgTg7FjTuFela3SplQRVug8tZSkEpB++7DBlM+dcDhxoCn/xnpNWkEci8a8KZJSGTxgUlM+/eIm2MgP2gFCu5cwFpQF/7kUa4DxB3chnvKGRMCCF+Twgxu8X2W4QQk35FoowyyihjqsS+E0MAgG8/ccj5EXrhsbtxe+39uPLE3fjL+k/gX6/+LB47PQcAcO1ya/G5Ihe7BEJg4lfXr8D3338L3lACE2VM8bjQ3k+MDV3ivnTTCyTZVvov+IC19/QZDrGaZm4nV/XtBDM3YQjsQvO3ySpb9aOXf6ppB6y+AxeyTBNhgAlLbdbH6aymTPwSZlvVSwrdlUdXRK7BEqsK0zvgiaQwteuZMxZEU4+JhKaJpti7doecMWH1NqifSaTvXKDPp7CT3WFMH8MmQnFhUdI08EEkAGjzVon1tnyVWMZXVBMp8hXu2CpsmCTRNa2lBc4wedIVY3TQGHE8gwtSxrQTKALGRAEzguMNRWKA/n0AMCDBK09ytEKkcDQcHMZExQd3CFDzrj1j5lhXDpuw0zzzGUK0cm9LAGy/ASop8MUqOejnCtz6DiCjPutAWsaRf++TxoQvpJvjmBqkiZS1WI2JENgjkIZucc5I8DUh6FkHkGOH23enlCN4LmiWRdB3Nu6heGzEgYiPu8d+yNiciTG9eNmaD3RZMBBOuHahIRBXSWTg5MFBxMnMmHgCwH8KIYah/cGPQtMmLwWwBsA9AD563nv4EseqVasmuguTJsqxcKMcDxvlWNgYz7F48kCf+XvXsQGsnFUBvvsRrPv+J7FfLkTzF+7A5z9/Ej8x0ERTDQIALpptHTZWzLPAxLzpNafttkqCxTPbX1T/ynlhoxyLCY2XxfvJWOcQ10jwAQFAswqAXGixzW7jpRf1ZsYsGK11ofsiTMmzDCz+KLEiy03f6cEwJhJpkme+kum/XPNVxFRKTJs+w/mcvs/FJXnC0MpasZombsLdtIwJLd4XrkgDbpJEL+ppolX7/WSH9muvJDg2MOpsq6U8AQ3p4WEph7VbTL2k0Iy7B2ZQm9yxw7diJYZLzJ6wLZ8zMSFQvw4egHEwiOkjAIgmSSa5j6zCEljkU+/pT0qsZs+Zy/bRjdc8cVMaJwqf7VFYytGCMcGp7YVWpwUlOS79XruA8JKCuOBjWMrBV9OpvGL+oiX5Pra9SiJxqm4tXGnOJIwVkcjEFaMtLIUKRTg5qFJNrc4NL6GgFXoC6dxyIo8lkHnlTnXXlUMyTZqg9Isda1n3JUE/fDtbl+1hyyj4vR8yJtyxcO85OCCiC1rk5RreM5IfS/p6MJy5kbrWw/oa2+vsl4BwwVn+W5JlIeuFn1clEc7cB5j4ZUTsdbyjEJhQSm0EsFEIcSmA1wJYBKAfwBcBvEcpNTQ+XXxpY/Xq1RPdhUkT5Vi4UY6HjXIsbIznWDy8+4T5++SzDwGPfQg4uh1fbtyKkVv/CL940VWYN20Tjg6MYHC0gXnTa0aoCgDWXTIbVyyacd5YEeW8sFGOxcTFy+X9ZKxzyIoSSscy0QITxJgItQ64MCLfluarnAMj/CVe/5vmiXCgpN+iPcOYYCwMnuxQEheUXuQrjB3TZjjnFGNMOOUfRdaKEYYDB06qLOnmonmAaw1JL+q6fCEJEnggt1asJo6dZJCAetR2pwzFK+UAuG6B7aND849Rx71EyPSdSiUiNpttEao3nzMxlwpaQY4xJlIZB05oHGK6D6kUDr2ejkPjIAQwc/acsL1KgsH6aNCePcew9IIiBjD5f7t9T+I6DTK8F5reuPPPqOyG2gztQkOwwC0Z0tvmLlhktvF5ezyY72EffJFVoOh+DNlIvJSDa7RQe5QIjwTCtxzoUKimwtHHiDFwSHfG6XszZGcsvajbO1ao4aCUBYk4O8fXuBEiBJhom8/osfeqDMHbyDOSA6oEauixTZxjVRKJ/iH7PNaaLzIqcqkUYyllyvkt0aUcYWmVy5iAE3ReqZQBA2O844zil0qpZ5RSX1BK/YlS6v9VSt05VX70Y3HHHXdMdBcmTZRj4UY5HjbKsbAxXmORZQp3PHkI1y6dht9M/w3X3v0OYLgXt139SXyo8Ut4y7UrAQBzp9dw9NQI9p0YwrJZLgNi6awOfPt9r8NvveGy2CFedJTzwkY5FhMfU/39ZKxziBwMEik8pXf9otnuWV0CNjnxV2EBVspR4DZBddfcCo80AUx7mbtfahJ/rtqPvD0RCMJxy8A0kdh/4KDTB6MxUUuMCJ9TrmFo9LEaeRHYexJwUlTKAcQZDonUjIkRXvLStH1sS12NiTABHUMpB1uR9hMyAiYM8yUQTWTlNRGKvV6tDudMW8QSlhLQhK1wO2OYr1Y3M8VWg2mllZIk2H143XpMQJJYQJFSDpk7Ijz9zHNmG7UR06xwdCQiehZ+G27f48CJ3eaOBSVxvosGCcQKLlYaKeWopr7go+vWEtNoIZbAI49tMcfi7fkr4zHLTT4vAgcQ5350gTPOcKgwMVBfHwEAu39s330tDtehJA7S+FasljFh9Sy+e98D7nlFdHhIWJT67pfJyPx68WehD6jye4GPeyB+WfCM5ICqFbF1r4kvzEtjKIUwYIYPMtAzt5kp57ekmXHxy8h8L7ALtaDkxCITY3HleFnFyMjIRHdh0kQ5Fm6U42GjHAsbL/VYZJnCR257Cu/+p0dw4rRd9dm6vxfT+5/B5+rvx2+m/45ts14P/NoP8O2hq7BsdjsWzNAc7XnTazg2MIK9JwadMo7xiHJe2CjHoowXG2OdQw1D53dXA+nllko5HJChafcBYpoQYSmHr1QfMCZ4SUZBHTcX1PRpyryPTvmCFKg3XKYCtddRTRx3ACBnHaRhUkjbYpoQvNQkVMvXx2rjQELTAhO1PGHgyQnt1+YzJjKeuNikm9fIByUAvIafLChNMmnBEb4P9Z+zKXz70VgpB+1OK/AxtwS/Dp5rE/haAkEpB0vg6c9ahB6e5aKEvkMAB4QSKVwbzMwyJvz2XPFLnzFh//aBGCCeqNHXaN7yzaS5ECTPLOE2q9wsibclQ6EuiYwAHRwopOs1mDOcmsp1hwiBOHvvc5BLtxfRmFD2fmwFnHG7WAM+CG5n6vbd1UcJQRrOUnLGVsbntNaYyF1DRkadfhgXGg80pXHnTim+lk3VEaptwXxRrJQjUiZFgrOAfYY4JW0FDjpFz2Mhiq14aVwzpcxvCR2rFrELpd1j5RrGYlaGjjfjHRccMFFGGWWUMR4xONoIKKWALtf47P3P4+6nDuNfH96nP8ya6L3n4/hW9UPoqh/BH7R/AH8963eA9ll48kAfrlrcZfafN62G/SeHcKBvCMvGGZgoo4wyxj84vTkmZmY0JnzGhAhp/rSNVvZiiRrRr2MaE1Hbysw6flTTiDie4AJzlv3AVzJ98Us6Tkc1tclYjG7u0ehFREQuy7grRyjO6TAm/Br5/FhKuQko7ddeSby6cFccLyaoZ8AiU8oBQw+n0jx+zrxu3V9Rjbly8BXawI7TY0wEQoFMmyAsAbDX0R8nu3obMnBirAM+n2LinCS0ykEFI+gac/ko0JHwt/n3gWnPY4jwMhS/TcNUkWFyb5Jgz1aXWE/Ups8ScIRlg1Ijm4zTVOPMHB+Io35wnQv6XLeHENhjJQo+cMbPq5pYICEz9xwMo4P64ThleI48vkNJgzNwFLznTMj2qBk2gHC2URLP54biTBDGzuGaFXReMaZXjLnhlHJEGUxFAJMItDM4uFNN/bIWlzHhO2z4wBP/O81dhnyQBtD3Pp8vuj1eWlUCE+MaXV1dZ/7SBRLlWLhRjoeNcixsnOtYvPmv7sfaj9yDU8N15/Mt+3oB6B/f548NAMefAz6/ATfv/Ws8Uns15K8/iL0LbsXeE0MYHG1gz/FBx2FjzbKZGG1kUArjDkyU88JGORZlvNgY6xwytcs+LT8jYCLXmPBF5CI0f9pGL8L+ijlgaeWx+mlBoIX3MswZE/UInTtkTNjV5UQKyKQCgDleGGAiwWDdK+XgOg2m3t09lus2krEERMAv5bCaEAmGPeZGKkN2Bi8BaavIwC6UU71HG2FyYsT2IuKC09v0tewftpaMLvU+BBIC0USTnBTPGcOY8ICpRFiB09j5mgTUS55tkmSas8BEUuwMw1klvD06r7RSNdu4lWis1ISiZSmHl9wBBawIYmfEbBeVq53Ak2cC2wJ9B8WBiSQo5XA0JiLAHiXjabXNHovuuag7RMxG1gUeAa9cgzF9AJ/hoNvuqKVmvtPwu6UcLruJyit4P3yHEr2fnbsxlgBnS9Gxqu0dQT8qnk2r63hjmTEcfABcZxMOIvqivYqzm7znYJZ584Jde8AVvvXPSwgSdbXXUSkXlHQ1JpRtSynzW+JY1soC4duKDO4RKuWYDIyJVq4cAAAhxDwA7wbQzb+vlPrF89et8xfr16+f6C5MmijHwo1yPGyUY2HjXMbi5OlR7D6uXTNuf+IQ3nHdMrPt8f19WDqrHYtnVLF6z5eBv/sCVFrFB/AbEKvegRs652LZrEN4+PkTeP7YaQCu28b6VfPM38tmjS8wUc4LG+VYTHxM9feTsc4hI3LorQbSC2QhY4JT7yPb/ASe3keJfu0KLYKtPMpg5dmKX4pAUI/X4/NEXbJEqL1rZt4HFyzQjAmvlKNFMi5ZeQCNG9fA4ICLATMiFPsokNDI0FF1+0HJDgFBjrAfEyW05RXSOhiwRIjGdka7BmgI0Dbil7FSjoKSAl4OkyYiqiPSloYaE81MO4r4SaHjYOAzJvJtlSSePAlWxkNOBPS9aioder3+3F6TRAosWLTInq8BCywbwQAiDivCTax4+6MRxoStx9fuFbFtTQ/YkwKBdoIPtgEuI8GwBCohZZ8zaXwwi+5jIYDFy5abbaYMIQkZGAnTmAjKF0SoMaHZNxZQA5hGApvTndUE9abCaCPzdF3cedHS5UPB6TvfRgwHAgQo8edsKbp/Lrv8Ku+8SOCSjwVnsdgyD7+UI1rmwUAVuv4Zay8qECxDVw7+nEkj84KOH2hWKNIKiWtMmLnfVFh/63rTP973GBspZt+bZQpJkusY1d1t4x1jYUxsBNAFbb91G/tvSsaWLVsmuguTJsqxcKMcDxvlWNg4l+3GbmYAACAASURBVLHYlQMKAHD7kwedbVv39+LmBcP46MDv4RdP/R3QfSP2//R38JXh1+DKJRr1Xja7A6dGGoZd0T3XAhAzO6pYmoteXjRnfIGJcl7YKMdiUsSUfj8Z6xwywETRClgEmKBVXaKADzc4m8KKMMYcFmib70RhVoPZKrdSBADExC9Ze4E4nnKAjt7+U+Zc9Wc2ERptZqg3s2A1HYhbK/pWebzUJE1ExGJUn1dbJQlq5DljIigBiayOcmE/nmjYxIqvEtPKszJ6ATM8xoTRfSgQMeWuHLFx9+04TfmCKeXgiRUJZrosG9segpVxy5iIuwDwMXIEUykBTWRU0DWR2jLy8NHjZlvDJFbhsVxWhF/KYf+Oil+2qMdv1feKN04+2Mb76DImYnahjI3klxRIYaxa9x44BCAXzGSr/bFSk2BuUoIcuX9Iz0D33dUf4XO6s6bn5+mRhsfocJ9BqtWxMluGwh07TN85IOBrMbD7++nndkXOy2UxKAaa8uenBX3sOcdKtVLv+vNx0om/+zx25ntQWoUAROTMjaAkJ3OFVF2NCRiwqt7MzG+J71BSj8xpYhz5TCICs6ZCKUeHUup3lVJfVUp9nf477z07T7Fnz56J7sKkiXIs3CjHw0Y5FjbOZSx2HR0AALy6eza27Os1lNPjp4ZxQ/+38fv7fhkXDe/E79bfjeF3fAV37dc/6jeu1J7tVKJx39NHAQDdczqd9jf++mvxiXdcgyUzXVeO8x3lvLBRjsWkiCn9fjLWOcRrl2M1w50Ru1Ba1a15K5mALW2oRbQYABKXjGhMsITbr1t3kvGIur0vmugIBSYCg8MjzjnRqqTRXBhtOqvpoU6DC6ro8WDsjIhQIF+FBShhDNkZNZNYuSuqMccBnoByRgpPrGgshuvhWExv8xkTcGj5o14i5CSgXiIUs+MMSjm865/EmACR6+i7l8SYCwSOxQRTSXOhEjAmiGWjx7bv1EDQd0qC/flJEdTPK8XAh3CfIgcD14rVzjNF5xVZ7bdCi26bfOWeO1EopZApV8iy2M42wfHeft0eAwrDhNbS8vWxw/ZijCO/lIOXItA2etacHrXAhBAcePRLOWLJOCuvCBw74u4VPnsEAA4eOWb6R/2IsQS4+KVv4elsi8x3v4zCLaERrJRMmZIcAhN84c6YLkmTXZOY+KUu5QjvLZprBHLRb4lfyhETlqV7P+bIM1U0Jr4lhHjzee9JGWWUUcYUi0Yzwx/951PYeeiU8/kTL/ShrSLxlqsX4eRgHXtPDAL9BzHyTz+JP6t8FkNzX4Hv3Pwf+NfmzTjQN4x7nz6KS+dPQ/dcDUBQicb9zxzDghk1s0pBMWdaDW9/1dLxOckyypi8cUG8n5AwWaWAlh9z5SBGQluEMdHMcsvAPHGmpJ6/4Bcp/QNwBBW5ngHgJ+N6X78cgvpnV5el+a7fHj37BkcbDuvAUMDNyz87lseYaGRW/DLK6GClHMNM1FGKfCxSl2LfyNyXf/4Zp3pz1gk/L0rkbBJnqf9GY2Io15jI7Gq6bydotEcKXDli4pfUz/YC8cuY84pTAuABE5Qr0fXiq7C6vIUlnz7tPV+h9Ved6ZqkUrhsBw9Uie3Hv8fPq5qGyRgXv+Tjxvtnr284p1MfEFLuPcLb1EAHzPFGPJ2GqB1n5s7Ptoq04pcsQa6m+v7hugXxucmBhJCpwLVRaKw4EANo+15AA4UclEy851NLdlPm3vuABRhNMh4BM6g9YhzR4460GIDQKYOXoVQYG8A4zYjwmRZz5XBKXlh7DQ/kjD0jY9o4HOii50w1F2HNTB9z8UsPYKJ+0HN1JAIuW6vTSBlXhC2VZfY6TrTGxFiAifdB//gPCyFO5f/1n++OlVFGGWVM9ti86wQ+/73n8fa//Z75TCmFe546jBtXzsNVS7oAKJx+8J+Av70es48+iM9N+xVMe8+3MXPxSgDAgd5hPH3oFF6xxArhLZutmRCDo82ALVFGGWWYuCDeT4hmW02TKDDRHtOYyLwVbs85IsmTe6W4sJveTvRr/1g8cQlpyoyRELELpdW4mPhlKq37QswuFKBEyG6rRIAOwAUtnGM5fY8nE1yUsMH2IfHGmGhmzBHD0MPTCDuDkkymZ0FaDIAGDKRQjsaESXaS0MHCTZ7C1eWYpSFgk5Ng1VSIIIl3V6tprrkr49ayVAXtxS1rYdgevtMIHYu7tfC+G8ZE5s53Ct8NK1PK6lJ4jg2AqzFh9slcEcYgySwAx/gKPG/TKeWoyIBxQok1BwR9vZW2SuK4cvB7DvBAP6YxEThARMACzvbgjjf+PUJA4YBTyqHb5UyQmNAmLw3iApLuGHpMFcY4AYhx5DmUcAaGB8TxMpQaE6o17bF7yxfG5KUcLmMCZh8ChDhTgcaw7o27lHxe2Hs1uI7sORMTMbX76ZIshynH++6NhdWXcRlg5lg5O6PplUKNd5wRmFBKTVdKSaVUW/73dKXUjDPtN1njjW9840R3YdJEORZulONhoxwLG63G4q6ndL3n6dEmjg9oKvK2A/040DeMN165AEvkcfxD5c9wxUPvx+icy7Fh5E+QvOZXkSSJKcPYcagfh/qHsXKBFbic3lbBzA5N6b1k3uQBJsp5YaMci4mPqf5+MtY5RMKKgcidchkT3JVD5S+1lICONDznCMG0EwLnCISr8w79OqQ9G0ZCrHyBb2vYJI6/xLd3dDr7UGJCjiODI02nPVq5HWDuFbrvBQ4grA9B8mQSP7YtQm33AZf0TKUcEVcOm5zahILvI4TAjLYqTpHGhPJp/jzxd0EaSkJcRkeRAF6xZoXfnmUJWH0MHxCifTIPfCiyrKWEkSeEvH9CaKr87LlW7Jn6Q33wGQ4UgSuHUuY+aETAjJg+BgFCaeInyJZ1EGOWcD0D/v2M6YhUE2uRaZNW2iaYtkO+jTF6Zs1dkLfn3ldAON99+1FeNhBlMTBQhbQL/IS7k9+Pef/MeXksICB+/V32lT/XlAP4NaPgmN7n4hWXmrHgpSGNgFmg/57ZUUX/cB2NZhYAhYm0WiyWOcZFTO31p/OdloM0J06PGlDX6E8kkVIO5161DAxeSga4jjeO+KVy5ydZp47UM/Nb4pfQ+EChEEA1UgpFvzFThTEBIcSPCSE+nv/31vPdqfMZfX19E92FSRPlWLhRjoeNcixstBqLx/fbbTvyco57th+GFApvHr0LC764HtfLHdh0yf+DTa/5B+xWi3D1Us2MWDCjDUIA9+Y6EpfNn+603ZG/SE0mxkQ5L2yUYzE5Yiq/n4x1DhGtvOaL3OUvyx0V0pgIgQRTyhGxEvUV8TkTQAvqeSuPMlKr3XST+2pkpZAnLs5Ld/4GmkhhmQpNuyINaPFLQNe08xf8Wpqgo5qgb6hu+ge44ngxO87OWorTIyTciLw9/W+tkhgWA7FUqN+8Pcf1IpKcysj5+jXtvgMIHUufs0D/sD0vKxQYK6/htPcQEAqo7QSqJNoRIy6aGBfT5HPGgjvUt3jyxFkHfD5pBwydtPpOBNT3SiIxxOy2fVAlJmTJ+833s9cwHItYexZUcceWs4qsDoIdp4QlyLwv/sq97osVdKXLz60/OTsD0CDjaabFYpkKnr5DnuxWPNYBL+Wwq/OWkUDnA9i55oMjBILGGRN2TvPz8q8/d+XwHTsIZEgKSjk4cHZqcMhsM+MnteCjKU9jZSNzOqtQCugbqodMFcYUcLR2PNBKMUDolRdpJ6Ef7jkRlN3oeR32PSivYQwMH2CiUo6Y+CVtq6USI83M/Jbwe1VbBXtgG2OwxJyafJeciYgzAhNCiI9B0yWfyv97X/7ZlIwHH3xworswaaIcCzfK8bBRjoWNorFoZgo7D51Cz5rFAIDtBzWDfPdzO/BvnR/HtLt+G2LRGvx08gncNf2/4alDAxACuGKRBiaqqcTirnbc/4wWcLqUMSYA4EevWogZbSneeOXC83VqZx3lvLBRjsXEx1R/PxnrHGpm2srNt/ekJDBWypEpV2jRBy1SGTILjICkCCn2Tg06SyZ9xgS36uSlHEDIIHDEL4eG8367CTw5jgyNuowJAJjZXkFvDkxQThkr86DzBYBptQQDI3XTBzpfINeYaDSZ04gFW3h7UfHLSK0+B2l87QzuAKKUTUwBAPURnB6xTBDbnnDEKg2QYAT13GPF6NxugidC8IknLhEXkraKO59ozrRiHcQcRWil2HeaaXpJ4fHeXud8aez89vhx/RXfLOPgQwiCUGlAbHU5KNVhCa0QAtNqKQZGLPPFrqZTAh+yYnh5la9z4pRJmeQ+nzNpgqMnes35UnsWfOQgCEv6facMpvlSZ9dRsoywks8by5hAfl5W88W/V7nbCL9HAmtSD2xztqlcgDVS8kD9oAR6z74XzHn5Ypp0KTlYNKuzCgA4OTgaPEsSKaL3T2D7yoCEVyyZiVoq8cM9JyOlHMIBrGjcfcCKPwejOjyMteHfW1Lk5TP1zPyW8PtH3/theV9Mb4V+LyYDMJGe+St4M4A1SqkMAIQQ/wjgMQDvP58dK6OMMsqYzLH3xCCG6k28duVc3P/MMew6cgrq4b/HRw5+UP+ovuUvgGt/EfVPfg9H+ofRP1TH0lntJokAdJnGC71DqKUSS2e51p8fftuV+PDbrhzv0yqjjKkUF8T7Cb28xtT3NTVXr37HtsUYEw1iTHigBReQ5FoM1AdeykEvr7SSbBgTrESgZSlHIEpnj0PHAHQypvvYNDXz9CLf1VFF76AGGYyYnYwwHJr2WNNqFQzXM5fOzRJGpXSC7+hS+PajDIypeGwFv2acQJooCFK3Og18tToRceo4X00H3HIIfZ4hkBAK4MFsC3REfCAhUvJCSTy/jnSu/Nj8vPzSENpG4Jgv2krHqiYSTWXHxYhfRlw03FIOlzGRKWXsUWM19zRfXHFBr+9egkzXuKu9gt6hUb0Pu46Bu0rmunIA+r6juSUdYCJcuQc006Ke2flGSS6BRcPMwlWyUi2/REFKGEFXPqepD4Cda/75UgnVaS5+Ke15jXpMmqhzDb+3IuMbc8PwGUfVRKKZNc040e3DgYREJg6wN7tDAxMnTtfNfctFOEl/whXudEEBpyQnlZjdqZ9BymOWpAzY5eU/sfZ8IdBAK0SEwASNk9Yr4RoTjDERlH4pVzi4Gf5eTBVXDgCYyf7uKvxWGWWUUcbLMG57/KApuaAghsTlC2fg2hl9eOfTvwFx22/j0eZK3Hbj14HrfhmQEgtm1HC4fwTPHhnAynkuK2JF/v+XzJvmvJiWUUYZY46X/fsJvcj7SRwvN+BWl4BNrCiJG66HCW2sphnIE5eI+CWtYqaJrcemXM4yJuxqe5BM5LRj3gfdngD13Be/rLEVeu7KAWjGRP+Qy36Qwtp7cnYG9a+TEiuuWUEr0kyPQyfpup2YmKbuRyjSx5PTGEjjWpO6CQhFIt3SAWc13UvGo1oCPmPCW2mlMfR1RCh59pNFTuf3bSFpm59w6WOR7WfeP88hQAqBjqrWW7DJuD1WJRFgU9DahUZABl7KwT+ncfLnOn0O2OvrMzdiY8ttaQFgZkcFfYOWtUOfE7PAaIVkrisHoOcT19TQfRHgZQ38WLU0MePBnWYI6OBAl1OqFRGkpG1DHBzjwESe1HLmA8DsQke4XWh+XixJ5swSX5zVtQsNWR0xUVm/H5VEoGFYERzY8ZkWlnEyq1ODRSdOjziOItRuwM4QTEDUsTM1w5SXvGXO+QI5q8y7f1wGhj0v/1k3zO4tbsXKn8c0Tvw5wo9FZWZN757j5SnkhGK2ydwlZwowJv4EwGNCiO8CEAB+BMAHzmuvzmNcc801E92FSRPlWLhRjoeNcixsLFl5BX7ynx8FAOz+2FvM5zsO9iMRGVbv/TL+uvfDaCiBp1/9x3jXfRfjK92rzfcWTG/Dky/0oX+4gR+5bJ7T9hWLtE7f2uWzxuFMXnyU88JGORaTIqb0+8lY51Cm7Eutv8LNmQojjTDxIy0BR/wyT2iLShQoAfWtJC3DwVKE6YWdAySATjRoEZuvchY5ZQiZ5udKbATptDdSz8wLNe3X1V7BrmMD5pxoW4zhQAkG2XEOMM2KgGLf0IwK464RoV/TOftUb6eUIw1BFQ6CjHgr3BQzpnU6pQMExKRSONR7orAHpRxOTbuMsgQoQQnFL11wyW0vLG0IxC+5xgQlQp7AIX0vkRYMGhxtoqtdOseqJBLVtjazDyVMpiwjC0EGPQ4eYyJTqNWKdSmMK4fXPyHCe8RnEMzssOVEnOZP84wYE74rB6DBHaXS/HwjpRweaNFWkZCVmukr3SOGMcH0HVIpC0EVei7Mn17DCyetToNkGbfWagjFLzuqCRIpcGq4HlhucnFevs0vJ3PvfQKtOGNCJ91ChBa4XPdl5uw5Qd99oU2aZwAwu9MyJuZMqzl952UPzrMkMt8rrOaFtDj8Z0klkWEph+QMEQs++YyOk6ctC0wKa+07VHeBZyrl6B2qm98S516N6MtI9nwcbfrtiUnBmDgjMKGU+rIQYhOA66B/+H9XKXXofHfsfEV3d/dEd2HSRDkWbpTjYaMcCxu7Bu2L0WgjMy8xR/dsx793/Bkqd23Drq51+IXj78T/1XUjgKdwyVwrWLlgRg3HBjTV02dM/PirlmDF/E6sWTY1gIlyXtgox2Li43y+nwghNgD4KwAJgM8ppV5y7YqxziESCkykcOuCnVVT6VmCutaUw/VIQhtQh/W+pD/gW0nSS7+2rfRW0306skMD19/hjA/f4o+OTe3Su78pRWk00Z7pvxOeFJpSjrwfBcmkEdOs8RVft++07ZnDA2g0lTkXXziRJyEBNTvjiZpNDBsREMRdTbdJ4bTOdkcvgDNOoqwIv5yk6W5reKumpu+pqzFRVMrhuAp4oA+Nu+9eQe1JEQoc8nOm0sbhehNd7RUHHKukEpA2TTGMCeMqEGdMhK4cOfglXDCDdrF2obw9T0jVu0dozsxsr2JHX7/pA12rzmoKISxjwlkZZ6UcGZu3ehxFoatNLU3QhC1xoHvfd95pZgq1VDj3ov7cPVb33E7sOT5o9nEYE6lOrPn1APQKfld7JReQdNurVexzhs+Z9jZiKZHTTFi+YOaap2VjWAwe46iSSNTarZMP3T6px5jgGhMz263GhM++4uVpNKeFCO09fRBRg60qYETxZyTXColpllDfZ08j4CQvDcqf09wymYJb+47Um+a3hLNifH0ZsoS14pcqaC/xdCkmIgpLOYQQq/N/XwVgEYD9APYBWJx/NiVj48aNE92FSRPlWLhRjoeNC3EsRhpN7DsxGHx+z+Yt5u+nD58CsiYa3/sb/K/978Zlag/Q8zf43vWfwp7GbDz0/AlMq6WYN71m9pk3wwIbK+a7wEQlkbh2+ewpU8ZxIc6LoijHYuLifL+fCCESAH8D4E0ArgDwM0KIK15su36MdQ5RsktiipQsuKUcvp+9XWl3rClZYlqNMAsAayfItRF8hgPR8inRS4NEQwWJVRFjIk0kRuqu7WeMMeG//Hex1WoOgvjJZKOZmfY4xd5X5n/9FQsws6OCrz6yD/WMARMFq+a8fp6zFQgE4f3wqej8emUKzmr1iWNH3cQqtprOV3UjfTD9k6H4pRDWmcEHumKlHLx8oVpwrGq0lEMnoDGdE17KAWhxU9pHXxN9rN7+AbOP0ZiouKvi/nE5+MCPVZGhqwkQ15gwrKKicqf8cnV1VIwzDJ/TUmphTGv7GhG/bDSD9hyNCY+R0FaR6D89ZM6RnCvaUlf8klwvTIlK4A6hj9U9pwO7j5/O++7OwVRq0MpnTAC6hOrkYD0Qt+Vzmt8jdM8NMJCGu1fQ+QA2eaZ9OeDH+1FJJHbt2WvOS/rtRTRaODPG1+/g7jC+RovuH813WxpCbXJ3Fe7KYks5XJYSb48DVnM69Xvj8dMj9rykFQCm+0cpZcqkajnYS78lHEjSrhzhnG5lFTzZxS9/G8B7APxFZJsCcMt56VEZZZRRxgTEH39rO/558x7c/z9vxrLZVojy+Ij9zt7tD+Oqb38U6Qs/xL3ZK5G+7a9w0yuvwdIdRwAAm3YexaULpjk/XAsYSLHSAybKKKOMc4rz/X7yagDPKqV2AYAQ4isAeqCdP8Y9AheNZoY2mRjbT0AnOz7DwZQNMMYETzSC1WC+Ws3KFxKZOBZ/PNn1wYI2Rjvm9oSAL37pttdU+oXbMgvgtDfSaAZ07o5KapL+LHZerFbfr/0/PdIw36P2ZrRVMG9aLafYW7ClCMBx7P8iKvt8DP0Er63ia0yYSwcp4NDKef28OSdHiyFMxkz/Er3qrPLSBN8FwHf54CyQELAqthKlhJAzFyjpIlYEp6LTsdor7mqwz0bh5AffRcMRA8z/rHklSLQflajEHEr8BJ76LkTcKQFgrJ12zdrRyaJXktNWMbavXBTVAdv8eyQJE2Tar72SYJRpTFTYXAJs4kquF0XaI3Ss5XM6ceTUfgzXmzkjijEmElf8krMpunJdDd81pMbub8NgksKyR0ZCkMbONTt3OZMqNgdpP3rcUZIOhOfs2xwLoQEon/nCGRO+Rgtg70elrKMIYO8h/1rxcreYy4dbaqI/m9VRgRAwDFs6L1PKMUrABMw10WBQWNJEbKlhR0cifg/r/ay2By+LmogoBCaU+v/Ze9PoOo7zTPipXu6CHSQIgjtIiiK1kdRmUrJlUTstL3AmiZPxsR2fyXH8OYk9/jzJ5MuMc2Jnn4zjLHZmssx4ScaJ7USeIHZkrRZl7TtlbVxEcd83AAQucJfu/n5Uv1VvVdcFaVkQAKrfc3gI3L7dXVVd3ej3qed9nuSX0h/flSTJBN8mhCg5dskjjzzymJWRJAm+/fR+AMDXH92Dz75HL46enBB45/J2vP3wV3Hbw4NASxfuXvN7+PjW5Xj+Yvm9xd1lAPLFi3QjKHoZY6KzHE51V/LI47yPN+H9ZBEkA4PiAIANb8Bxf+wg60oSOgNSYCL0DRvMYmiWcvCVwlLoG8J4gJnAV60k07b4K4U+ojg2xS8teriy4yQNh7RUgifchcDDaJWvmsrPF3aVkUDgtRNjGep44Al4Qq4G23XcXFSRJ3h2MkmlMHb7ujz5POYrxX4KusSJLk/Q1OcsgEP9jmJmj2oBGs0YExNNhAd9AVRZqQx3bOB0eHk8nXC56vF5+wJfZGj0LueVjN0q66+fXg872XWWQ6SAkL2iz89VsurnDSq67xnABAEHpNHAhUB1mYfZJ36ugNX9u9pusz1c4J1LY6IRJ2q+c2ZBeykwSjm0xkS2lMNgxTSIqWJuay0GqMUygW5EWjfFZqTYbih22Q3NtVbGViGnHgqaG3apFiDBmOOj1QyLgQsxcvaV5wm0FQKnQ0kW6DLvb82YMO+fQuAjSp/8pMUgj2eXXpjXJPAE6nGWCcLFLzmrKLCAk0wpR+ClIKw5Tka5G4Eg/HgKBDGtTrtbCjg5WjX6FfoeQl+gkrlHkHHl4PMzw5aKCaDLAhMEuMx0xgTFowBsaqTrs1kR8+fPn+4mzJjIx8KMfDx0vNXG4qVDI+oP6kuHRtTn9SjGkuoOfOHUV9GLffhB8Sbc+Ct/i2/902u4oLeCzhb5YrsoBSYA4JKFJjCxLGVffOaWC6e6G1Meb7V5MVnkYzEjYqreT4Tjs8zbmhDilyCZG1i4cKFRmnH99dcDAB588EH12erVq7FmzRrcddddqFbly+eWLVuwadMmbN26FXv37lXfvfXWWzE8PIzHHn8CQICd27fhwv5FAIB//d6daA+BXa95iBqpfeN4BftHh1QbkqQPjVoVg4ODmKj42Lv/DI4cWQi/JOuyX3n5JUQHEwCSdbBlyxY8vXMEgI+HfvhDhL1r1LnaQuD0aR895QBDQ0M4fuQwTo8LDA4OIujpBwA8v3Ur6q89id1nACDAaLWBw0eOQCBRbfJFH8YmahgcHMSRYx7iRGDPnj14xwW9AID/cccP0F0EAB+B5+Hxxx/H0aNHEQgfL23bgSXXSoG3++67F3OKwI5DAoCPM2MVbNu+Ax5km9p7FwMAXnx5GwoHn0W94WPvnt0ALsKR/XKMH3r8KXQV5LnGx8YwOPgwAODMiI/hMEKp3IrK6Igcv4bsUz2KsXXrVjz3/D4APu69+y70r5V41Q8feRRHXpDjOTI8DAB47pmnAfi45/4f4Fgi/y489+wzqJw+jkP7PZypyGlWGR/HmTNjapyKhRJGGxEGBwcxVvFxYP8Ytm6VpSWnhmSbKmmbPCGwbds2eEjw8rYdGBzfhrEeCZhveeAH2HFKjtFLr2zDuksvxq5du4FYUr/Hxwqol+eouVer+diz+zXEG+U8e/rZ51A4+Cz2j8pz+Z4cXw8+Xt62A493nAZ6VwEAnnz8MQh4eGXbduCWC7Fnzx7sP3AAlYrAlh/cCyDAmcqE6mOt5uPUyRNoKSwAANz/4EM40JngxWFZZ79v724c2LsPUSzPef3112OsIkstH3vkIQAB9uzdh+svnIe77roLL7xWA+BDJBEa6XWi+2nkjI9kXgs8kWDnrt0YHNwFAJjoXgEA2LntZTnvH3kU3olebNy4EceOn8D4WBVb7r9P3iNRjD179uAHTzwPIMDzW5/DO5eECCDfG/7vd+/E4SMeGl5R3de1sVHsrgzjrrvuQpQkGB46jcHBQRwck+N5avgMhloSdf+0HH4O45Uu1KMEd911F546IPv01JNPYPntN2L45FEAwD//y7+iWveBJMKRI0fwwEPyGfHkM8/h6h7Jfjh65AjuvfuQfHbs2g1c048fvfCCvFZPPoGxnQnCvvUAgO/e+X0cOeqhFgkcOXIEnZ2dODM8hOpogrvvPZxee9mn4eFhjJ70cHhUC5U++shDOPwj4PBBD+O1EoaGhvDc1q3yHrnnHrztstVoKwXYvmsvBgdfxVjFx7GjdQDrsGP7KwCAp555Fv7+ZxDFRYxXKhgcHESjN71jWQAAIABJREFU7uPV13Zjz542RLF8x3r4hw9ibxtQGy+iWCzi8ccfx+49x1Gtynni918NALjn3vvQ1wLUGz4qY2MYHx/HPffcAyQ+tm/fibnxEABg63PPYv9zozi438PomEzYjx0/oZ5bx8bltTo5NILBwSdw+rQPVIawbds2rFmzBkOnTmC4muDue+UcDzyBrVu3YujkCUxE6fPogqvkOD36MHaX5fGOHT8BYBn27duHifRZOn/+fMxtLWDnviMYHHwN41Ufe3fvAXAZCr7AS9t2YrC6PXVmCRBFDRzcuwdj4/I5snXrVgTzlst796knceKYwKma7NO2bduwZ+9eVCcEHnrwAQABTo+MqvvxyFEPYalFgRn0eWdn56R/n5544gn12bp169Df32/8HZw/fz42btyIxx9/HOcak2lM9AkhrgRQFkJcLoS4Iv23CUBLs/1memzcuHG6mzBjIh8LM/Lx0HG+jkWSJNhx9IyqmaW468Uj8D2BWy+eL3UkAGBiGEf/4Zfx9/7n0e5H+OryP8GvNz4BtM7Fy4dGsHaRdiZsKWiM9/KlppBld2sBL37+NnzqplVT17E3Kc7XefF6Ih+L6Ys34f3kAIAl7PfFAA7ZX0qS5G+SJLkqSZKrFixYgIGBAfWvq6sLXV1dxmdr1shkf/PmzeqzTZs2AQDWr19vfLdcLqOvrw/vevd7AABrL70EC3qlq8+NN9+KgYEBLFm6FKWiTITmdnWis3uu2j+KE5TLJQwMDKB3bje6enrR19eHQkESStZedhluvUlWvNQaMTZt2oT16y8HANxwwyYU0lXum2+9DQMDA2hr70CxGKKrqwtLlyxGuaUVAwMDWLqsHwBw9ZVXYGBgALffIo85OtFAT28vfN/XfSqESOBhYGAAc+b0YF7PXPT392Pp3BZ0tYQozV+Oq65+GwApSrdx40YMDAygtVTAkv7lip3xrttkm9ZedhkAIAxLWLlqFXxfHvvytfLz/pUXYGBgAAkELrxgpRznS1YDAFZddBk2pPdwR0e7auOc7i60tLSiEcfomdMtP3+fvAbVRoz169fj4ksuBQC8+923o7Usx/Pqt23A7e+R35s7R/4NeMe18vjXvuOdWLJ0GQDgbVdfjYGBAVy0+gLEQo5xoVDCvHn62i3s60WUAAMDAygUS1jevwzr169H6AsUy3LcN29+FwC5wrlmzRq0FEIs6V+BgYEBFEsyibv1lpux9tJLAAArV0lgfOmyfhTCEAMDA5jb3YVaFKu5J3wfqy5YibYWuf8ll63FwMAArnunBNk8IdtUKoToX7ESGzduVKur173j7Qh8DytXyb9z/f396FuwEB3t7Xj/e28HAETptadzLZjfq2jql1+1QV7T1F1g5YoVWL1qJeAH6n4Ki0UEnsBNN8h7Zv6CRep+Wn2RBGM6Wkuox4lxP7W0tqEQBCiFARYtWao+75knAbEr1q+V13DDBvVc754zF+3tbXjP7ZvVPdLf348bb7oZAHDllVegr68PLSV5/918y63omdeLtjYJ/G3atAlLF/ai3N6NzZs3I4oTzOuR1/i2W24CAATFElrb2mUbrrg8vSadqEUxNm/ejHXp/XhN2qYL+pcCAG64+TYk8FAqhOjr68PAe+T4rr74UvT39yOKEyxetBDvf6+cj4uWyP0uukTOhWuukfcVrZzfePMtmDt3Hnp75qKvrw/lchm98+aie04PbrjxpvTaC2zatAkDAwO4dPUK1JJAaXLccP31GBgYwIUrl6MeJejq6sJll8kxfdfmzVizZg3aigE6e+arOb1ooQSk1l0m76VL166T92oCtLfJOd5aLmPxkqXo7+9XbIYbbpBt6O7sQGt7BzZu3IglS5aitVyWx04ZCdddfwMGBgYA4aGjvQ3ldHsplHN3Wb9M4N921VUYGBjAyhX9CAryWnbNmYMgfW69/93y+sd+AQMDA2jv6MDCBQvUs3zRgvlobe/ADTfeqO7H9evXY+GCPrR1dmJgYABBKMG266+7Du9Nr9WXHjmCKE6wcPFitKX93bhxI7paQnjlNrlfEGLlSgmetZVCLFi8DAMDA3h3+pwpFEJctHoVIiHbun79enU/XrNxAxYvWoiWVlk+vGbNGixasgStLS3YfMstAICwWNbPvbk9aGttge95SAC8973vO6e/T/wzEuDkn9H99OO8LzUFJgDcBuALkH+QvwhZy/knkLWd/+WczzDD4sdBbc73yMfCjHw8dJyvY/G1R/fg1j/9oSrboHhyzylctqgTG1bMxcmxGka2DgJ/uRELd30LX4tvh/+rj2N08fVy20QdR0YmsGxuq3GMn7tqCT60cSkuZYAFBdU1z/Y4X+fF64l8LKY1pvr95CkAq4QQy4UQBQA/D+Bf34DjGnEuc4g0BULfRStnNOrQ8rNnlOMSK/NQFGaBLGXfEL8UmW0ufQRlF2ppOIxW60gSsza9YFG9A1asHSLCeC3KaBYAuuxBK/NDjQm1gfeXO0dI/QlNl+auHNrJQ4+3l+pd1CNdJlPI0M3NOm7ZhqzYZ5EJRU4mBNqItRUqAJw+edKggSvXkEKAsZpZykH9aisFjjIP4bRPpP4WrLIHOldoz7OMI4Ku/aeEMfCF0Sc6l1nKwcRZU7HFckGeK1PKkZYiVNk+VG5AY2WUXqhSDj/jKkAWlC77RLlPVmOCyiEm0xeR/db7ZpwtLL0I7qADSI0Ju7yCa0wk1rn0vdVAI+auHCSmyXRJPJHRW1DHE/a8TgxbWt4Oe94CQHspxJlqQ7k6OEs5rNKLtlKgy7jO4spB2+zyCn680Pdw8vRwuo3pXDAXH9qPt91PXWoyZWGeYAKceoyU7StrOz9emM5523Un9N06PATEAVo3h88Zbu+bsOdWOfQz94jPxC8fe+wxNX50LtKXoYibzGneZ9vVZDpiMo2JrwP4uhDip5MkueNNbNOUxtGjR6e7CTMm8rEwIx8PHefrWNzx7AEAwD88uR8/d7VcRYjiBC8eHMbPXrkYq8pj+HL45+j4lyeQ9F6Mj038RxwPF+GjLR3o65R/BJ/ZcxoAsHRu2Tj2f/uZtW9iT6Ynztd58XoiH4vpi6l+P0mSpCGE+FUAd0PahX4lSZKX3ujznMscokSvEHgZUceIaSdk7UK1vWcx8DFUqaX7ZDUmXGr0Sn+ioQX1NNDheEm2NBzOTDRUQkjBBTq5yB0A+EmESlrrLo/H9kuBEJeSPpCCAux4XGOCXtS5a0gx1bqwkxN5bNnXRhQrJhyJwnFAiI4ZWokpbx8fQ5XAs3bECZTzCW9DrTqORkpd50BCd2sBp5WVoAkWtBV14ueyM+XigqbLh+nK4Yus84Y97oZzhDqXh3LBNwUuY3L/kNoUXGOiEcfwhUA5HeMJW/wy1bogUVQhhLLH1RaOWdG/ZuKXBGjULCAGaK4x4Rn3gZnccxFGINU5SUydBpXcp+AY1xcBpLaLvo5gY6v1B/i5yMGEdCsIFCmkVqim+KXWF6k5tA7oXACUyGUY6puuFHo4NeYWvyRWAj0bODiasVVNd2srBhjh9riWWKV2qbAFLvW85e0IAw/j1VSzgoEqlPhP1CLDvYIiSMGOLDDhKZtd/twqBh4CT2hHEQYWANqVI6t/4zmcXCRY8Nl3X4Tf+7dXUlFaU78jDDxDS4I2lQsBe+ZCHY/m58EjUoCdg08cbAGkwKVL3FZuk2Kq1Lfp1Jk46zJekiR3CCHeDeASACX2+e9MZcPyyCOPPN7o2Jd6dr9yaERayPkeXjs+ikqtgffGP8Dld/93NLwKdlzyaYi3fwr3/8Xj+LkV8o/Bgk75ovjE7lMAgKVzZm1FWx55nBcxle8nSZLcCeDOn/Q4P2nQy2PB97K2lVayYyddnOFASaEGErJAR8KS3Tmtkn58crSGC3pNxkQ59JVCPK3uKYG+Ahe/zCZq3N2AJ+NFHxirNYxEl6IU+KhOJn4ZxQZ7hLM91D6MnUFJvM06ANIEJZbuICFndBir37HajyfJtgCeFiWMM6KeHBTiq9+ABEf4aislY3NaCxirRdJmkoQHGWMiA0wIocZRJXiWI0Kdq/YnbtFEe9zlKnGS9puv3voGKyJJ3TCEECilIoH0ObEztCuHTvzoXHqMEhQCoexxQ88ETgANkNgsENpG+zUiE7yj/vC+qHH3skKqNljA7SklC0SflxgaNjhG4p3VemQkrdSWesNKaNNjEtuH7Enpesjx1WMvk2ctBJt1+UB6LvM+Me65VDBX7WOxBGT7Y7NfgY9GCurZwFlHKcShoXHVDjWXrGvJk3EXY0IJy/oCRM7h90iZuwJZbBTZVglA2Pc+Z9OQ2DCNLWcjkVsLBT3TaJw4y8oWCNaAavrMSMFMDt5yNw/OliqHXsZSVwh9DamvfH66xC89gQwjSvWZi+VOozPHZKUcAAAhxF8B+DkAn4QUhPpZAMumuF155JFHHm9oDFfqGJloYPX8dtSiGHtPSZDi1e0v4BvhH+Cq538L8byLcHvtD/Hwgo/iwV2SIXFRl3xA93XKvOepPRKYWNKdAxN55DGd8VZ4P6HEMfS9zOqtofQfmLT3iL1AS0u5FEhgjAROKad9APlS29Mm663Juk66AOiEmxgMLnX71oKPMxMNg8UAWHahFoW54CXKHQAwk4li6GGiEWWSE8MRI9H9FelKYrWJ3SEl8bbSvzy2fCmvNWK1Ik1tt1eyfU8nyQ2W7BCewR0n+D4ASwqj2BhbOf4wkiRa8e1KxZaHmFUjNbGtyBwgHKUmKkmKEjMJZqAUUcfJeYMnSHJcodqecQDxhFEyBKRAByWMBTNxluPErBDrek7TueyV3ThO4PuMbm6t+NL1aFiMCdrGnRJ42wl8MOxH07lLjA979ZvG3QDHLLCNaPl2cl9k97FOMokJkD2XXYZEwAQHzjj4yBPrwBcOoEOzDqjtsWWD2VLwUWGlVUZyn3Z+wmJMcKDT3q+16LNSDgfjhJXKcBZDxnKTAXt0KfnxyJrWdPHR/SKww773fcYusEHTtmJglHLYzzQCF42xZXNNX39z/OwSNLnNLAGhTZyNxEFOBTwqYEKfK/CFCd4lFvjgAOKo35F1D72ZcVZgAsC1SZJ8BMDpJEk+D+AamKJQsyoGBgamuwkzJvKxMCMfDx2zfSyGKjUDDQaA/aclEHHjRVLw6tXDp4CH/xQ3PfB+rPNeQ3z7FxH84vdxwF+CIyMTePHgMBZ1lfHRD8ixIGDimb2nUQw8zGsvvok9mhkx2+fFGxn5WMyImNXvJ+cyh2qRfBkNeSkHt8FkL+pcYyKxNCEmrMTPM5LCbMKogYlquk0nmSVmd+gqh2grBRidyNonFuxSDrZt2aI+mQhZL/GALlOxk5PA16utdjJRSG0X7dpvINVqYIwJo5TDE00ZEy4rRE1Fz46FSpJqkbEPjQWAtD49NjQ1LrxgpQYFGPg0p0WyWE6N1TIMjHbGmOAsFjsJ4RazBd9D3QEw0NjWWILEx93WTpDfF5lSDk6jl2yK7D6kj0D78WtiMzeIMeGqg49iXSPP6eu8HdlSDs2y4OehfTw2TrZdqLASayoPMJNWYdD8bc0Swy7UoTFhz3ey99SMiSzDgfrFrxUvkwAYa4fdPzY4RpoGrvub+qwZE1QypoFOm1lSCn0TlEybrhhHUWyAY4BpF+pi7ZRaWlV/VQJvMCbMa0XHbMQaSFClVZ7JmDCAzGKgSjnqkaWNk86N2Dpe4DfXCuGMiSwwoe9JU2MiQKVmPadZWcatt21WYwFQKYen2F163DnLywFasOfZdMW5ABPkEV4RQiwEUAewfOqaNLWxZ8+e6W7CjIl8LMzIx0PHbB6L4fE61v/Ovfitf3nR+HzPyTEAwHWrenCF2IGr7/4p4L7P4bnwcvza/L+B97ZfhPB8LOgs4dDQOHafrKC/p0WNRVsxUEJIS+e0GH/s3ioxm+fFGx35WMyImNXvJ+cyh4gyX0i1EQCuMcFXYX0DmIgSUxOCVjf5C36QlodUbIqwJ8sGPKGBCU6/LrNkMrISZECu7FKpBKcpF3xfaSrw5AkAknoVlVqDJQxm0mXoNPg6mQD0yqMttFmLokzCAEjghDQw7G2eSIGJyAQLioFZyuF7cjU9YC/59op0KdAry3wfIFvfz5OdyugIo7BrMKMrBSZOV2pZcUGWPPF28NVZIKVzs+SOGDk2SONMkJ2lHLqspWSVcnBQRYJjlsBlykiQpUEW20NoYIIzCFyCnrTN89K22RoTaSIcNmFMkOZDZgWZgUi1hk4WqX0AjLYkiYsxwYUR5XdFKlpY5SwgxUbR2iPUHLpeLSljYmSinh7fnO9VI/Fn16oJ24PPQRvYKxcCQ4zWs/oFaE0Luk2UdkbDrZ3BxVR5qUToC9R5f1nJQ7NSjtDXGhOJ9awDTGDCBh45Y0ILbXpI1LiboGm7VSYVsucCMalsALTAtUIyZSOaoWPry4SeyZigTSbjSM8Z2nf33n3GNhdDSDMmXAwhszRtOjUmzgWY+K4QogvAfwfwLIA9AP7xbDsJIUpCiCeFEM8LIV4SQnyebfukEGJ7+vkfs89/Uwjxarrtth+/O2eP559/fioOOysjHwsz8vHQMZvH4ttPSceNbz29X/3xAYAnd5/C/HAcG176XXyn+DkE9RE0PvANfLjyaSxZdoH63oLOMg4PT2D38VH0z201xmJByppY8hbVl5jN8+KNjnwsZkS8rveTmRLnMoeUxkQgUPDlSzfXaeB161SuAZgiclwY005AywV3Uuh7AnNaizh+RjMmstoJkTO5L6TJUK0Rq1VZ2QcmSmm9kFdGTqNSyzpvUPsn6rF6yaYXa73amiihRaMNDrV8QCbxY7WGShw4AOF7AnGSOFZGTfFLm7XhEr8kxsR4LTL2ofYBUKwO3r4Tx4/r1Vs27qT7cXqsnrmO7aVQMybYNeHACR1PJa2BYGUS8tycYt+wElpeAmA7lASeMFbt5Ti5EyubYu+iqZM+AqD1B2hV382YSHUkWLvVtiRRK8gNawUZ0PPSPh7XA7FdOTQtX6g2cjBQjqFMTvW80G2yWUAuwEqzYuQ+NmPCXrnnpQhci8Eu5RCsXwAUq4PPwZaC1KwhsMMs5ZA/E9iZYUw0ogyjh4t6kuaHMU6NOAOc+B4vh4DRDglMpEKw7FlnsJQcZVyhpTGRFeGM3YwJdW/Fhl4NAT+KpcRAlay2h8mYkICQ6QpkCMuy+cRL9fh1JJDkhZdeNs5FoGnmHknLtGRfGGiRgnf282I6YlLxSyGEB+D+JEmGANwhhPgegFKSJMPncOwqgBuTJBkVQoQAHhZCfB9AGcAAgLVJklSFEL3puS6GtOS6BMBCAPcJIS5MkiRqcvw88sgjj0xs3T+kfn71+CgunN8OJAkKr3wHd4dfgf/cML7pvxdb+38ZH+q8BLXGw7hscZfaZ0FXCd9/4QjG6xGW97QCp/Sx57UXsePoKJZ0m44ceeSRx5sbP+H7yawJbRfqKuVIjLp1SoIouaYXUGJMJEmSSRiolhzICvv1tBVMxoSdcDelesuV4lojVvZ9gAlMcKo8ABR8GKUcHCygpCuKYwhhrtzTOJDQotonEGZSyI7XVgyw+0SkaM480fBTxkQ9yoIqdWvlHrAFOG3GhLl66xntM5NCW/wySvuUMCYIaUwMj9cz15GSpzhOjESI08YB8zry1XRbs4IzDzICjawen5eNlEIfp1LXENpPrWQHmrXTsNouGRNZdkYYpGNrMQFc4pdUGsTtFvk2IaQNamWcl5oQY6KJKwfTTrBLOWxnCzk/YQETItUfoHnG55NkOBEDQzMmeNJqrcITA6dGgABnMWg9AdP1IgsiZfQdUqCQt51KIsaqJiuC70elOdyVAzDdcHipWS1llWS1OEynDKESeA22ZBk9pvglNZ1YSlz8kj9nSEvCBixNvRoTLGgrhdibCqc34kQxtQA9dwh0U2yugJdy6HPz77jYGQEHcBKzZMhVkkPHpL6ajAkTiKNnLoEWkbGNQIsZzphIkiSG9Aan36vn+kc/kTGa/hqm/xIAnwDwR0mSVNPvHUu/MwDgm+k5dgN4FcDbfpzO5JFHHm+duPOFw/jz+3ZmPn/58IhyzNh5dBQ49RqqX3s/PjvxJ6i1LgA+9gC+PfcT2F/x8MJB+Thbt7hT7b+gs6RWb9b0dRjH3nlUPtLefkHPlPQpjzzyOLf4Sd5PZlNQUmYAExG3BZTfKzMWA2Amz6XQR5KkSTBb4QYkyFCxKcLpm2F7KVCJCV/VV3TpmhuYIIX7aiNyMiaqUZQmT7qfRQ9GKYcttkd06cA6DyBp9Jn6flLLt/oLyFKTMxP6XDzR8DytMeGqJZfnS5okNGbbPU+KcBKAw8EWslwkVgcHTjxBZRKmboFR/pFhTMh1Ru5swu1MjVXYSco1XMKYrtVqVQLCrj8v11DnYmCWchWw5oxkTKRUeVYqwZN+uU1ef53YZROrwBeqRp8iSUio1GRT0I8uxkTMGC4FXwqpymO5V7+lK4cFjqX6DtScwEpoeSmHDbbVo6xzBP1PLIYMeBeZAI78XJZJUJ9obKlf/FxmKQcBEw1jH37ejF1okHXE4MwNACk44bbctMeCizfacyb0PZChTMyOF/geQl/INliMEzpmM/FLGgte7gQAbUVfiV9GkXmvEkhD74y0jRgiScKBQho/dq7EZo+I1OHH3MflUOJ7DORIx4LfqzZjopnjidxfgnccNJmuOJdSjnuEED8tXkdBtRDCF0JsBXAMwL1JkjwB4EIA1wkhnhBCPCiEuDr9+iIA+9nuB9LP3tDYsGHDG33IWRv5WJiRj4eOmTIWSZLgteOjzm2//I1n8af37cCxkQn12Wi1gd0nxvCetQtQEA10PfMXwP+4Bt7Bp/Db9V/AsQ/8G7BwPea1S4ryjw4MobMcGtafZAsKAJct6jTG4r/cfhFW9bbhxjW9U9DbmR8zZV7MhMjHYkbE634/mQlxLnOIVrQLDvFLnuy2UCJR07XQnAYMyISGVpNV3borYbRWOWmbDUxUG5FTQDL0ZFJbbcRqFRUwk3Fb/HLlssWIE6iyEpMuLVgCb65+AvSCbyc7ckU6svoLyESjUmtkrE4BmTTIUo44k/jxWn2dZOik1lbfByRgRJR9m7It255lTPQvXSqPGWlbTd5O41wkjJjqD4xVI2M12K4ZtxkTzRM/BxWd2BRBlmnhKuWIEzNpnWhWTsTsZxMGjimNCWZN6rHyFJsx4QvTHtPY5rlr7vm1sF0+nPoIjgRZtiWr00DijdQevk2WXmnxSxf4ZLNiqN8KmPDNc5m6JBxEsks5dL/oXK5SDgAqIXeJX9qMCQLHRpUjj9pFsz3q2bEgLQ49FroNms1lPpvCwEOcprA2G6keJfifW3bhSPpuaN/fUZwtu6KxiOIsSGOIX8axIYpL4M64xWIJ+b1qAUzcwtcGVJWTiwWococSXspBz59LLl1rbZP7kG4GnY+XmnDnDSqv8dXzbPrELyct5UjjMwBaATSEEBOQllxJkiQdk+8GpGUY69Ma0P8rhLg0PWc3gI0ArgbwbSHEivS4mUPYHwghfgnALwHAwoULMTg4qLZdf/31AIAHH3xQfbZ69WqsWbMGd911F6pVSUns7OzEpk2bsHXrVuzdu1d999Zbb8Xw8DCeeOIJ9dm6devQ399vnGf+/PnYuHEjHn/8cRw9elR9PjAwgD179hh1oxs2bEBnZyfuuece9dmyZcuwfv16bNmyBcPDcoGnWCxi8+bN2LZtG7Zv3/6m9Il/dr706Se5TsVi0dj/fOjTbLlOp1uXITy9G2Onjxt9+uL3nsWXHjmCj6+JcHF3ovp0x7/dA3p8ffWeZ/AbP/N2bNmyBc/tHwYQYNH+7+Pu0v/G8r37cajrany+/mE8PDEX/7FNYGhoCKMnDuPASYHK6Bms6JJCltSnvacFAPlHefeOl4w+3Xbrrdi4YDX+7XvffUtep3Xr1p13fTofrxP16S0Qr/v9ZCZEZ2fnWb9DyVchFaoETGCCXsjLBfk81AkeE8ZkbAp7Vb8lDFAhMMN6gS74nqpn5y/rSvm+5nblCFIgoSZiBYoAdimHuVLY3SEV9sny0tZjaMQSVAktsIDGwU5OCFShF2ye+JcLUuGeEkZuC+qlK4mNyHTlsOn8tI9ZL26OH43VeC1CIfAyDiW0XyOKzUSoRYLjlPzbNP9GFOvV7yYJshDaNhUAE0Y0BQQpObLBArkCLz+zXQUKDtDC96SI5QQXYGXgE9dAcTMmzATUMzQmNDgWpFR0bu8IaCaIDT4AtBpsskBoH0ADdy6XAtqudV2g2sf7QAkox0jpmhBYY1jgBr6lMUH7aPCOzmWv6lctbQdAg4E0hrwkp2kph60x4SzlkPfjZOKXdA8QMDEyUc+ANDQWpJPAQYti6hrkAtvGqragq9ynkLJRiJHAWQwUX390j3E8ajsvuyIAlLuDZDUmQozXI73NuI9NZyN7bIlJw8/B9SziOFsmY7TP088Zmp8Jm4PqHmpNHUrYuXiZme/5xv3oYkwQq0i2bfoYE2cFJpIkaf9JT5IkyZAQYguAzZBMiO8k8kn3pBAiBtCTfs5tvhYDOOQ41t8A+BsAuOqqqxKX3Zbrs82bpZXK4OAgNm3aBABYv3491q9fb3yvXC4793d9tnHjxsxn/f396O/vP6f9qR081qxZgzVr1pzT/tQnHj9On1zHne19+kmu0+Dg4HnXp2b7n61Pg4OD6Orqarr/G9mnbUdG8PN/9hDevXYB/vKD5ne/t/2M/E7ch98c0JVdfRdvBJ5+GgAQtcxRfTr84PP4g+2/jQ8efAAn/F78Xutv47Of/gx+9If3Y9NF3ZjT3Q0AuO6Ki/HI97eh0gBuXjff6NMNE3WcGHwJH9q4FOuXzcHevXuN9s6k63S2/d/oudfsHpnNfQJe33UaHBxU55wtfTrf4o14P5nOuOeee85qGVpzlHJygrrfAAAgAElEQVRw20pK1EkYT60wco0Jw8YvmxQOVVIROYt+XQy0xZ8hMOcQv7RLL8ZqEZJGrL4LQIt3Opwodm7fBsDPKP3L44m0lMMUnlOggEOwjkT/XMr8tBpMgnamvoNAnK5yhwywkO4lWlxS0es9KSYnE3xkzlUKZSmH7wtnokZMEN6GV3duB6DHPuMAYQAJ1lhE5vHmpoKZhu2rYj4wUMVKCguBBhJswIqDFqbGhKeAMToXdcvlUuCz+URz0GUXSvOdj3vgZR02pF2oZzApACidjpBZMdI+1Ff+O2AyhGx9ETkW6Rj65hjatHxAswT4fC8yzQXqL2+LoVmS7iaEgECihGyN+RQIg5GiwSdWDmEBHbztdsJNpRyjDqCQ+qGEMdP9OkpSA2VkvDEJSJOCbexcHaUQIxP1zFhwYMJ+bulxSjJlYRTd6dznwAQBWvYc5Lavtu5DGzFBqo1UFLd5KQeNDd1/tSjLirGdfAKhjxekwIQCTQlI8E07U3k8ff6HH30MVywfMO4f2ypYiiWnQEcKSlLEMQz9HhvcezPjrKUcQoj7z+Uzx3fmpUwJCCHKAG4GsA3AvwC4Mf38QgAFACcA/CuAnxdCFIUQywGsAvDkuXcljzzymI1x/ytSZmb38THj8zMTdew+IT/bf7pibHvx0DCEAHrbizg4NC4h5Oe/hdsffB8+EDyI5JpP4osX/j2+O7EWp8ZqODw8gcuXaoHLC+e3qZ8XW0KWHaUQf/pz63HlsjlvaD/zyCOPNzZe7/vJbArtyuGyC9UrhWULmOCMhCIrvbAdFjhd2kW/5hZ/9D5ectiFZi3vYqkx4WBM1BtZmzxKLJrVz9cdCby2akyMFW7V9sjtykEgzsh4lqbuewJRQhoTtvilLnvwDeDEdl/gwIRkA0SRewWZ2mgKcEJtA/S14noGGaV/LqjHEvjedukkRe4qHMDhjISMuKBlP2meK5uok/gliazSNn6ujIAkL+WwXDk8IdBRlgnhmdQeM2ZgVmgBEFHMdCQsGroq5XCAGfxa2CvIHKSpNbL9ldekeQmAYhZYWgyAdlloXsqRGMwXCk/we8Q8F1H9uX2mqRViAh3aGSZbhtJS0Mm43fYME4SAiXIKTEzUpa6HdT8aY8G2dZZDDI/XM/OMu2G42Fx0PFu/haItLW8y71VTaJN2s8srePvayaZ13AFkEgBhgTQGwGSxPfhzy54zZBdbj8x5FjpKOXipFs0jPp+4YxBt4+wbmyFk6rrMQMaEEKIEoAVAjxCiG7rUogPSNeNssQDA14UQPiQA8u0kSb4nhCgA+IoQ4kUANQC/kLInXhJCfBvAywAaAH4ld+TII4/zP57bdxoAcHh4HAlD2bcdkWyJ5T2tODI8YWx76dAIVvS0oq+zhODEK8DXPgvsfQS745X40RV/iY/c9h703LsDx7aexI6j8jgr52kwYlWvXmh9q1p/5pHHbI034P1k1oR25RDOUg5KYlusUo6Y2WcSY0LSpeX3ucMGZ1lkkqdGrOnSdLyQidw1KeUgsMBZyhFFKcigt9nAhAGQpCvdUWTuw8Uv7VXOgu9hZNytI0FlLyNpwsuZEZ7QtqChkTAIE6Thq8EpEONiZ5BNpr2PITwYmyUqtHtNjYXJzmjEDqFAzzxeoJLFAIXAc9q+hlYbAD0vigyYyAo0CjUvtTWpZ4isFgMf3MLVZU2qyok4OMZ0BrrKcsV7qFJX56J9fC/rKkC6FHVWTpIkWn+EOyXY/coIdzKGUDHwVVKacY5QczAx9pF9dusPABIsHGHJuC7lMEty+PFoXFQph6XD4nLlKASeSu4ztq/W9TfmbWiyisxyiJQxQcwNBiQAwMhEI6OpYmsx8HN1lkMcGh7PMLZaC0GqixM7y3/oeLykjceEVV5BbecaE4pBwBhHMSuDAzRj4nTK6uHj7rP9+FiEDBSwtXuMUo7EdnKxymRYqUmcSHCOxkkwIEEBEwx80swM/feCTmW7ctD15yUt0xWTlXJ8HMCnIf/IPwP9h38EwF+e7cBJkvwIwOWOz2sAPtRkn98H8PtnO/ZPEsuWLZvKw8+qyMfCjHw8dLyZY7ErZUqcrtQxPF5HV4t8GXn50AgA4IbVvfjKI7txptpQVMGXDg7jHUtLePepr+Dtp/4JGO/Ezg2/h596sB//cNk1AICFnSUkCfDYrpMAgBXzWtU5F3VplsSS7smBiXxe6MjHQkc+FtMaP9H7yUyJc5lDlJwWfE8J/xnABGM+AKb4JeXbnDFhMxxaWH1/bNGvaaVYU8BNdka1HmVW84F0RT0trzCACUbNtxOh3nk9wK7TqDYi+J4w2kGlHPU4tlYX6cU7MVwU5DbP0H0wXDkUY0ImvDyB8j0uLshBFd+s4bf0Jzj9mgMdpUBqTNhK/1xvIzMWPXOB14ZUAsrbJy0UXeJ9OgnhNrJCCPS2F3HMwZgwhRbl8XkZz9A4MRVgtMPp5uFpwGqiLoEJbuFa8HVpirLPTA9YKugSHj4/O1N7VNUOBpxxtwneLzn3+EowtV2yKWyWBY1heylUzAx9LvlzmYl6JupesMYwJiBBHUIBW1ULYJLj66n7ANAJstKYiLIMIfqei1VE1poKiGHX8eRozWi7zc6gcxnaKHYph3V/A5Kt4AlTnLW9GOAMMSYc890FFnSUQ4yMNzJlMq1FbVlqA6q0rVKL0IhjtAQ6nb125Vw8uuukArvMUg6T3UTnyjKO9JgT4ELzkF8TOrbNmOBAh/3MNUo5rHPRNq3fYc4LKv+gttMxe3r7VPvpXAHbBzDvnyxjAoaw7HQyJpqWciRJ8udJkiwH8GtJkqxIkmR5+m9dkiRffhPb+IaGXbP7Vo58LMzIx0PHVIzFeC0yViQA+aK871QFK1PQ4ODQuNr28qERzGktYN0SKRB3ZFgqLJ88M4ErzjyA3977C7j+5LfwT9H1qH3iKTzW9V4k8NSxFqTgw8OvnkDoCyxmAITnCfz1h6/Elcu6DcDCFfm80JGPhY58LKYvzpf3k3OZQ7yUg/7ntHLXCiJto5dmkzFhAxNa/NKukSeNCb2P/JwzJmxaPkAMAlkL7yrlkLoKsfGCv3JFPwC5Cutbq8Qk0li3BCm5gjwJHPJzkX6D3T4aq5GJuhJT1McU6u9UaK1IVw2mijlOVXauwAFaZCnbQo0hYCY7K5YvU2Mhj2eyRPgKsgKGrBIAfi5yoaK26310UmVrVlCpATC5xgRPrKnEh4MMWgxQGK4mvO3clYOXL7QXAwgBDKcr1aZNq4esi4aQdotOVoQcI9c2zwM6SoFiRdhtL6Y6Iby/KqFVK8xZ1kHQZPVbjW8jyoA0vLxCMoSseyEVzbSPp1lK8nfOiLJBHzqkrY/Bz2UDnaYNqk6e7RIKAhm4QKzch8CMrD5GRzkw2CM2A2O01mDlEDRn5LZKrYHIAkH+5iNXAeAWnjZjQoNIivmigASHK0fKmCAdFIPpZYFPdE14KYc93+0SNPecsTQmWKkJFzGla9G/fIXczrbZIEPGlcMq5fAEMuUf0xFn1ZhIkuRLQohrhRAfFEJ8hP69GY2bitiyZct0N2HGRD4WZuTjoWMqxuK6P34A7/rzh4zP9p2sIIoTXLdqHgDg8JC2/nzlyAguXtCBhSnAcHh4Aji+A/HfDeDLhS8haZuP+679B/xm/WM42mjFa8fH0FrwMa+9CABYkmpHPLP3NJbNbTUe/gBw2yV9uOMT16qX7GaRzwsd+VjoyMdi+mO2v5+cyxyyV+G5hSe3z2wt0Is6AyZoRZqLVVoJqFwNjhVF2F7lrDayL9YlRVGPM8kEoBPAaiNCMdDP1+IkLIHtr7wMQL7g289qTm+2kww5Rkm6Op9tu06cedJF2gUNI7mT46JFBDnzocjKALi4IKCtH11lI0Sxt61O6dgqeWLt2LFtm+qv3XZa6cy4aDAKtm0/Ore1iJNjJHDaRGPCqu8vhlz41FrxdZRyeEKyQ3i7+Rws+lrs0V79bin4qNSjdLVft8/zBFoCvVLNE8aM9Wesa+TjxLRIpGPZuhSmnkWoSnvoXBw4mWgC0gS+mYB61rUHeILM55MEGGxGTxhogMmeMwCQRA3mymHOJ2IpyXPJz0uBZzCieNtFmti6gDMq5SCXHNvZApDJs11C0V4KMDJRzzAw1FgQi4Gdq7McohbFCiDNWuA2DDFSQAMnspTDfGYo/QnHuUhjwh5bXWYWG6AUoDUmqKTIVcphC4HapVXyMxMQjNLrJVzjZIEqnBGlGUza3vPZrdJBjAuIagBEO8o0deWIyS5Un2e64lzEL/8ewBcAvAPS3vNqAFdNcbumLMjSLY98LOzIx0PHGz0W47UIJ0ar2H1iTL3sAMCu46MAgHdc0ANA6kwA8sVm25EzuHhhB/o6SihjAvOe+EPgf16L8okX8WfFj6P8yw+ivGIDAMm02HV8FCvmtamH/JI5Leohu6JnclbEZJHPCx35WOjIx2L6Y7a/n5zLHKJESgETTESQixxq8UuqJ2fUe27TaSWg9gt5hnXABSRZMhb6QgnPAWZiTTT7WqOJXaiDpj4xLgWOqZSDB09qbFFMQK9W21T5moNGDeikRjImzNdgl/sAnUuJjlor2QXfXP3mgAZR7G02iqK2O/QHqmosHO4LKVvBBhJ0QpEdi0KgWQQcELKFFvlxuMbE5MKYsSq9oTlIwE6cmDX3SaLbx49H2hQSSLLsVv1EW9bGzFXAlVh5pkWibIO5umy4cjBnho5SqEp7ABjijZzRYTtHmBT7bDkRoC0y7evvArNCCyzirAMA0pXDOS8E6o0ky0axSrX4NjofJc8uVpFb/LI5Y6IUSvaQLRCrHYXc4pcAVMkJXUPFmKg2MhotmtERKeFT3j4hwEo5dDtIANUGOpRjkEMINKMxYWjjmPPNLq2qs+en7cqh2E2TzBmuMQFolgX1i441OiafGREDLfS9kJZysLKRwPMQWSAdMY7kcaaPMXFWu1DIP/IXJ3Q35pFHHnn8mPHc/tPq5x8dGMJV/dLxgvQlNqyYg9AXOJSWazy08wRqjRjXXTAXfYfuxX3FX8eiXScRrf0gbnrmnfipt10OPwgUm+LQ0Dh2HRvFhhVz1XlC30NfRwkHh8axgglf5pFHHudNnPfvJ5SEhIwizEUY6cW0xSrlsAXwAAkI0Iuvq97ZZh0UVQlIlhJdSpO1qOxgTHjEmLBKORhNObEE5ohXMRljYrweZejrsq9ZwTrSmHAxOlqYK4fNmDBLUkwQpM7G3QBBQg/Vuk4yTb0N4aT5F2zGhEP80jXuZHeYEb+0E1q2jyeESsIjNk48eVK154b4pSlISV1uCQPFeuFJIXdrAagcIu2vg9quypAYo4dELClaA1P8kpeuNGzxSyHUNdN19VD9CjwJjtC14OUwHeUQ+09p9y9+vSi552wPnWTqVWlb8NG2yMwKy2pgT7uNyP+VW4t1LwjBnwm8xEeOhz3fzTIZarvZRrqWgdU+IaDsOg3GBNOKsdsnE/84fTZl730tfqn3aWUMJj5ONmOCzwst9tuQ4BhrnxACxcBDxQEI+Z7ndN7IWKeybcQEGnPZC6c/0zNZa0Jw/RbzuUD7RA6WmtKYsJxcVImFVcqhnoHpteUOINwxhrZN5srhMcaEbbn7ZsZZGRMAXgTQN9UNebOiWCxOdxNmTORjYUY+Hjpe71jsPjGGO545kPn8wR3H1c+vpG4bALDr2CgWdJbQXgoxv6OEQ6nGxA+2HcUlpeN4+xP/D8J//gjGRBv+auVfYsc1/w1How5ctEC6aizolFZo24+ewaHhCVzQawIQc9ukkOa6xZ2vqz9APi945GOhIx+LGRGz+v3kXOZQPYpR8D3FBCsEHqpEo49Mh4XQFxhzlHIYopNNqOiUTNisA8CtpE/0dpcdZ5DqMTTixCjlUC4FjhKFUlGumlbrkwATtciySDRXHvluxCxx6T7oUo56poa/GWOCl9DYq62kMeESvySKvb0KS2NRcTAmSoV0LFwr4x4BHWZ7+UqnvfrN68klc8NsA2eWcNFE0jKwXQVaGDuHJ4WTlXLYYp+yX2l/Lc0Sfg1aQ8FEOHXyHHi2kKXJmOAMEepXGJir2zxRoxIEfjxqRin0ESdynLhmBR/3eroKb5cN8PEwNCao/McaWzuhtfVWfCE0A8OaF6SPwLdxBoPrXiUmkGRYmcl9S+i7xS893S/7XlWlRhaQMJn4peeZ10UDExoQsOdFC7NHtsVoAXn/u0o5Ql9kBGJ5+ySrDEbbiyngNlrNjjsdQ4lf+vZ1zI47t+SMLZaaDWbx+S730WLEEnyQn3u+fKYpRo9wsIcYk8p2taF7gc4/0xkTPQBeFkI8CaBKHyZJ8r4pa9UUxubNm6e7CTMm8rEwIx8PHa9nLBpRjBu+sAWAdMC4fGm32vbAtmO4duVcPL9/CLuOjarPf3RwGGv6JMiwsLMsNSZqFVy87cv4HXwH3v4SsPmP8GtPXoQ5jRbMPyKdOi5e0AFA/tHtaSvgoR0nAACrLGDiD//dZdh9YgybL339uUs+L3TkY6EjH4sZEbP6/eRc5lC9ERsijEYpR4beHGCcCVlqu8NsKYe9QltPk10nMNGEMTHRxC409D2VcNNLPcBcChwsgY0b3gY8/zhqUZyxSOTU8VIYqs/1KmJ2lVM5iqj26XO1pAmPvVrp6gf/mbQsOFOFxkmWcmRBEKKOZzUm5M/jtWzit+FtV+HLLzzJ3BfM1Wq+aqrt/1hNuwWCeAyY4EwALrSoVnOZ4CMX++Rt5EKrvCSnVLCACTYHbQcIIFtORKUIPGFcurAPu09IZmXDOp4pfql1JOg81AZ5Ls2AqUcxSqG0M6X+ylIOLX6ZsHtLMTpqMRt3of4nFkvWRpYEH7P3T1ZYNgtMuBgTba0tGEkXcELfmhdRtlRLOeiktpu8XQBQ8IWTmSP3DXByrJrZpssyYnSUsyCiC2CaTPyS5g9dM/pdl3JEGV2XDDBhPTOKoS5hMV05hBKQDJr0KU4SBCLL9qAyOUNj4hxKObigK+87WQzboC7A2VK6dEnuYzEm0u2XXLYWABc41eKX58SYiGEwJma0xgSAzwF4P4A/APAn7N+sjG2pqFAe+VjYkY+HjtczFoeYcOUdz2rWxP5TFew4OoqbLpqPlb1teDUFJoYqNbx6bFSVdSzoLGL1qfsQf+kqfLj2LezuvQn45NPAxk+gt7MNh4cm8MrhMygEHpYzzYiFXWW8fFgCFqvmtxttumRhJ96zdqEhLvTjRj4vdORjoSMfixkRn8Msfj85lzlUi2K1sg2k2gksYTSZAD4Tv2ye7ABML4I5W3B7R0C/rI87bPfK6Ys/r9OnsJN2ioyCPfveoQP7AVDdejbZUdsM/QZ6ic7qKoRpAl+zEgYAaGGCx3aNvEu8kPfDVY9P16QemXRuILVOdQjq2aUc/FyHDhxQ/QWySRyttPJtXBwv4w7ByhYiB1jABfo4aEFilbY2AbdqjNlqtWZMZDUmjBVph2YFANSiyAAzAGC8Mmqs+AZNEyvJBLGTMX4uNUaR3kaXqqMcoBbFhshlBohJS02A7Hx3OSxoQC07Bws2m8Kyhaw3EkRxnCk1ihp1tgLP55nUdcmASA4HHUMPJvAUMyYLTHgZi1Hqr+tnOgaJs7rADBf7io5t26ryUg57TnNNHRsoBOQ9WXE4ihDTxj5ekbOHHE4ZgSdYKQcru0p/rFlsj8lKq7iNp81S48Ki1F57n4QBE3S+AwcPATAZQhy4BUwg2+XK4XsatJrprhwPAtgDIEx/fgrAs1PcrimL7du3T3cTZkzkY2FGPh46Xs9Y7D0lVzWEAF48OKI+35KWcdy4phcr57Wp1Q8q77hyWTdw9CV85vB/wu/WvoBK0IEPVH8LR2/5MtAumQ4Lu0o4PDyOVw6P4ML5bcbL6cJOqTNRCDzlxPFGRj4vdORjoSMfi+mP2f5+ci5ziEo5KAoWMGGABam7AQDDPtOVFNqWkS4ByYJVbmAwJgq+sh8Vwla+zwpe8s9dVPQD+/bKbZNoTFTq7lKORpTIcXIIbTqTe9/TInC2K4cjSZBt0Ku6LnYGFzK0bUZdFp7kiKDHVp/r0IF9aizsdpBdqE3Z5+J4dvt4Eh8liYMtk50XxHQxXFkUgyBNGGsNuapPpRy2XShL/GkOGywBAi2sUiM+TpXREeYAEhtATMNZymEmVoZ9IksW1T5pG9qZ0KLcple4zeQexljItnhpKQeMRRDbLtRZAkAJrW+ORT12MyYa9Zo+Pk/8UwBM0/zNazJej7SQrqWd0owx0RJqUr19/7g+pzY1Iml16tJUIfaIbdELMJ0Gl/hlppRDuxDZ5wLkPUnJva2PocqdDKCIiV9a2wAJXIxVsyU5vgWq0DUpWKCfC3yQDBdYz1z5s81S03oRsTEH6dl48PARACYQx5+PAIz5mXHlII0JBnBOV5wVmBBCfAzAPwP46/SjRQD+ZSoblUceeczc2HNiDFf87r2GbgQA7EuFozZf0oftR86ol49n9pxCb3sR/XNbsKirjCMjE2hEMf7usb1Y25Ngw7Y/Av7qOvSN78J/rf8H/PXqr+DJ5CJcyNgPC7vKGJlo4Kk9p3BRX4dxXhLAXNHTmlGwziOPPM7feCu8n9QaiVFSwLUO7CSupeCjkiZWnIrurO93Uo7tUg6Tmm8KwmnKdobh4EhI+LkmrAQE0KuaVUfdOnflsIUgAfmCX48SJ8OBVmhtAMIWAbWPae/Dyx6yq61+qhdA/eKsDkmxbziSJ54UmmKV8n+3+KVnMByy7Ids+zwhVMLSrLzC1qyga09OGXwbF1qNHcwCVylHgTFObLYHJWMSOLMSSQFWumQmag2rRp6cNwAmfmkkcelcZ2wKlwYGAIM9pDQwarp0iRNtAp+VcnDGkcWKsUt8+PkyGhMOQUrZD/O8+niS3UCgC32Ptz2Ks/cdlV7wNlDQ9bS3hcZ9m71/IsWYMAEQAJqd4WBg1CzGRDHw4KdMBbvEx/cEQpGociK7HcXAd5agBVR2E7tLOWoOcAyQpSEVx71qgyo2sDfheEZy9kNszRnNmDDPZevpyHFiQpopxkBYg89KORQoGetzBb5mUSVJIsWIhdC2w9OoMXEub/G/AuDtAEYAIEmSnQB6p7JReeSRx8yNbz29H6fGavjP//y88fm+kxUUAg+bVs/DeD1SCtfP7hvClcu6IYTAou4yojjB4dNjuOTwHfjmxC9DPPW/gKv+Ax67/V58I7oZW3aeQnspQG+7FoYj8GGiHhvaFQDQ3SJrjm3hyzzyyOO8j/P2/WTbkRHsOj6aZQL4JmPCACbCQK3A81W6wJP2eS77TF3KkRjUdjoXwGz3LCo1vXTbq4s8MadVT34u5wpy+v9kjIlqIzZAGiGEXCmOmzMmKo4yFH7M0CrlcK3yAlmhyIzDAhMC5UlIGEiKva0HQm1wJU+U91UdiVDoi3TV1GRnGPRwRykHZ0zYJRTcvYSGg4CdaiNibAq5jdf3N5h1qkv80i4nosSP95lWq5WAJE++hU62OWMi8E3xSxIk5WAV9Veey0z6aZ8MSMOcV5TGhKOUw14BrzuYKnRNXMm4Xb6gxokBODLhtuYnG5vJtAloXnPHExovk2kxicYEK3nyHMmzax8qoeJJMOBiMOltNnuEji+EQGvBd4pfyu9pRk8WmNClHLbGRCPVYXGLX0YZrR06nirlcDBGakynBQC6W6Tw+ulKLSO0OVkJmp4zblcO0segcaP7n3AEuo+FQJYhZGhMeAZgQefizKvpinMBJqpJkijukBAiADB9Lf4J4/rrr5/uJsyYyMfCjHw8dEw2Fo+8KoUmj5+pKjsxQFp8XrygA0vmtACQFp6nx2rYd6qCdUu6AACLu8u4UmxH+9/fgt/x/hfOtF8AfPyHwLu/gHnzZdnGCweHceH8doPqt6irpH5+54U9RnveddkCvHfdQvzuwKU/Ya/dkc8LHflY6MjHYkbErH4/mWwOffqbW/HHd21DrTF5KYdBby7qVcI40S/8lMC7Sjkms8nTyX3WJo9cOZyMCZY9tZeYWKVnJk98v40brgYA5+rnZNTx0BeoN2LDClV+bq1WZ45JL+iTMSZMQAhwr6gqhwVH4hemjAkbLADk+I47XDnedvVVAFjSaq1QN+Ks0r9hW3k28UuXA4SlnaCAiToTEFWMCaLRNwy9De2ukS01KljADrXL2OZgo/QvXawZEzHvr1kjT33mIqByn2wpBzEtmoE01Ha7lGOCa6pYyb29Ys7Ht5lWCJAtAbBLhux529GumaSho9TItiblLBYCdvi7lWTtuDUmWjhjwgLH7H7w7zUczxJbX8YAC0hA0iGM2VYMpPhlnG1fIQwRJ1lhWWDyUo5GnGQYTLa7ik2+LQaeYqM5GRORCah2t4QQAjgxWssKXHocZLDK4DwNwsr22oyJ2ND9oOP2L18JAAYbKaO3YoHVWoeFjscFhWc2MPGgEOK/ACgLIW4B8E8Avju1zcojjzxmYsRxgp1HR9HTVkCcAHtOSFbEA9uO4eXDI3jfuoVK8+Hg0LgSpbxkYQcwcgjrn/x13FH8PJKxE/jV2ifx2ru/DfRdBkBrRQBZd40l3RLsmNNawOL0Z4oLetvwpX9/ObpbC1PT6TzyyGOmxnn7fuIJ+eJYj2JlcwgAhcDXpRw2YyIVv+ROBGq/VMyQaPmaIqxr8snLnoIzFQDzBbqUil/aq4H82IAUFVR98gQ8wVeJPec+WWZB80QoTEtbMlockySFvG/82ICdxDhWVMnG0UhMTbtQo5TDF4gTOMepwNxLXEmrC8CRQIcu5bBFE5sxJozkxAalGkkGLCiGrJTDYgkYjghMeLBorYoTPZyfy6kxwcQvbTHAkDEjGrFelSZRUQpKuiYVv2R0ePkd5gxizfWElY2UeSmHQwwyDDylnWC3HdC6Ci6mQcZmkjmHOEE6fp9YpRzGuXyr7XXTQUW3UZcT2c7IKucAACAASURBVPOTl3LYVqJ85d1uny5RyCbwtiWoPK/83xaQBKQAJpVyuEBE13wH3KK7/PNqwywLM+5vJwPDV/ojZtmVvo62e053SwEnR6vZUg42FrbNsSpps56RdD1JH0OeWz/H6B7lpRxz0nfig6mLC3++c40JDlZrXYoZrDEB4P8DcBzACwA+DuBOAJ+dykZNZTz44IPT3YQZE/lYmJGPh45mY3Hg9DjG6xFuv2wBAGDXcemw8b8f3o1lc1vwwQ1L0dcp2Q2Hhyfw8qERFFDHFfu+CnzpKrS9dif+ovF+vA9/hu/F12AlAyC6WvTKmu2u0dtRwlc/ejUe+LVNb2Q3zynyeaEjHwsd+VjMiJjV7yeTzaHAl8mkzQToKAU4OVpVbglGeUUYqLp/ABn2g0wKzVVEu97ZFLG0kieuMRH6GK+5X+K5iwhnTMhjunUVnn7qSfWzK4Hn+9vb6lGMmlXmMZlwJ6B1MLLJDv9OloGhEkauxRGadqGm+KVmHriYJS79gWeffkru41hBlglFnGVMMNFHe7XaYExw7RHfTMYAs75ftoHKdfR1MUo5WFLoeQJFlqRHLOkqOspGdCmHZkxwQACQbi3kDhJZoIot3ifFL9OkL9bgHfWLX0MAxsp46GBMaNZBOpfqbtAv9D2noKsWv3QxX8zSEbomlBzKccrOmTNntLC4mzFhtoNrTPCyG7Vf4L4fAa0zYveLf9dmFtBzy2Yk2Laak7EEMsBELevKAUgh0DjOzne77TZAC0hWj+mSotsghYOtZ1CgQcTAYjBRv+zn1tzWAk6O1jLlGp4nS+siR9vVvLCsU/V5zFIO+nznrtcAaIBCCMlQXtBZwhOvnZLb2BhKsNKyAxbcLnRmMybKAL6SJMnPJknyMwC+kn6WRx55nMdxeHhc1dRRPLNPPuA2XyrLLshhY8fRM7i6fw5KoY9S6KOnrYDDQxVg+524v/QbaH3o94GVN0D8yhP4u9KHsX9UoK0YYB7TkRBCoLMsX2JXW8AEANywpldtzyOPPPLAefx+4gmZeNmlHJcs7MTIRAP7TlUyK6AtBV++xFvlGgAHJsykMFQJrVSId9Gv9Uqmbl8p1LoKWfFLE0gxtwkndZwTF7JlF25mBbW/1kik+CVjlpytlIMS0YxdaDPGhOUqYduF1qNEuwo4mCDVRuTUuRh3uHLQoW0rSWpTPUoQWYmLWoWNs+3jjIko5mU8jlIOi/0gRT0Tow2GVaOVgJZCX2kqNNOYsEEQEr+s0tjyFWSRpG1MjJVnEhWlIPYDp8nLNqRjykGLKAvSFB0aE8rVhjs2OEs53GUDGbDAJfgYZQENcvlwJePNNCbsshGl+8EZE1HsAPaEEqO1k/sCu59c+iiyDbZGi+e0waSv0dibzxn5f61pKUfDALnUMQVjCFnMJ86YcFkAT1hCuka5mxPo0JoMzZgv9jNmblsBp8ZqzusYpuOUEfUk7RHrGamYEXFilHLQOeMk/T+9f4SQJTtXLOvGjw4Opd/BpIwJ3xPs78HMBibuh/mHvgzgvqlpTh555DETIk6Aa/7wB/jg3z5ufP4PT+zDip5WbFw+Fz1tBew/VcFwpY5jZ6pG+cU1rYfxoR2fwscO/lf4YQH40HeAn/8GMGc5FqWWnst7WjOo9F9/+Ep84WfX4ZqVc6e+k3nkkcdsj/P2/STwpJOCLeq4dnEnAOBHB4YNqjygSzn4iysFuXnQ+yb3swegkgn+SG6mlg9Iivh4uoKcFb/Uv58rY4K/t9srj5OVclC/6o1YJZAAKytowpjQJQFW4udI9gBzRT1OTDCGVmfHUi0Oo71sJdZeXS4EnhM4od1dAE6Y2h1SUqFsXxUF20zg5fEEo3pnWQJyH/1dahsgEySXCwnA9TYYaBH6Cmzh9oSmxgSMfnHxS1sfg6Z+LWWq8Bp5vqpL7AcNPmhwhPrFQTjaR4E0rH3qeDariLE9DJ2GwHOKOhJAN5ldKCWgtsApAWD2/BRMQscuHZDnMksATI2JH6+UgyfgGRaTAvay91UjLXdy2Wo6SzmoHCLKjkVrUYpf2uVTcj80ZUyEjnPLdmugxn5uKfDW6crhLg3hpRw2SDOntYBTFTcw4bNxcgE4TRkTMQf2dFkNPdfttneUQozXOAsI6ri6vEt+JoRQz+FoJtuFAiglSTJKv6Q/t0zy/Rkdq1evnu4mzJjIx8KMfDx0eD3LAADPHxjGcKUOQP5Rfn7/MG6+eD48T2Bxdwv2n65g57EzAFJXjDNHgcFfxZ8PfwqLq6/ic42P4ltXfhO44CZ17L4OyZJYMa81c96NK+biZ65cnHmIT2fk80JHPhY68rGYETGr308mm0OeJ9XjpQ2mflUjt6LTFan5aWpMBKilQpCAQ2OClXLQCiNXbk+a1IUrJgB72S+HPhpxgqpjpdAQjQzM18yQr9Cy/VavukDvbydBlmaDfTwlfjkJY6KZxsRkNfyhkzGRZPQiqI9j1YZDXFCvmtvsDM6Y4Oe9cJUUsiNxafua8HIIO3FpJn6ZJNkkzhZalN81+1tPrU5dgn9RjAwIUgrNUg4FgnA7U9uVg4tfWgyMhX3z5X4NU9sj8IWxqqvFL6ltpuOAJ3gbOEhD4IhV5pGY5wKkzSiBfrb4pVNjIjDBApfOgEtXoRB4TGPCnDPtba2qP04mgAV0le1SDodtblNWke8GH/hxm+k+NKyE236WTLYtw8BRTBrzXKVCAVEqfpmxVXWAB4Ap6GuPhQQ5I8ROVw4NevLnsRL1jLLAYzHwmwIdEhgwLXDl53QvWK4cNK8dVsG+J9DVPQeAqSMh2+Cp5whnZ/ipVg3AnGtSoMMuk3qz41yAiTEhxBX0ixDiSgDjU9ekqY01a9ZMdxNmTORjYUY+HjqOxR3q5+1HJfCw+8QYalGMixbIMoslc1qw/9Q4Xjk8giJquHr/14AvXQE8/494ovcDuG7ii/ha41ZctHiOcewFqcjlDatnh6tfPi905GOhIx+LGRGz+v1ksjnEGRMuzYJxBxOAav+pBM9eaa81YkZHNpNTWmm3bRABnSDzbUQRH602sgyHSYBl3xPOevyL1miQxhaknMyVg5I4W/xS2e45kh15DnfSZWpscIBFJ5I21buQnmu85gBpWP28SztDXQ/W54tWX2i0PWsXmmSSe0oo6nGSWV1WSU2SmCwBJrRolyhwB4sojg2qvFpVTbIgTSl1awFgWKTyGn7uHCDHVidjdgnA4oWybLRmAS7SXcEhfmlR0bmoZ0Z/whDn5DoX0i1BWG2vG0Kg6tSGs4V5/5hggTGGjDFBK9/8eNolB0Z0trelxzbTN23Fa7lykKOIoySHzqUYVvY9EpjXh0cpZRC4mApkaWmXSgjhBmImAyZ8z308ACiVCoyBYY8HH2v9eYGBRRnGhK/L3VyuHHZ7ef9lKYddJsOPl33ORHGcYanZ4pd0TG3rHGcEWENPoKOrGwAyDAzu4sRBC7O8y7wfeZnHdMS5ABOfBvBPQoiHhBAPAfgWgF+d2mZNXdx1113T3YQZE/lYmPFWHI/hSh37T1Uyn295dpv6mba/ckQCFGv6JGixpLuMQ0MVeC9/Bw+Ufh0dj/4BsPx64FeexAuX/gZGIP+AXryg0zj2J2+8AP/nFzfg/ZcvmpI+vdHxVpwXzSIfCx35WMyImNXvJ5PNIXo5rDViRT8Gsquw/IWXaNujExKYEPYLapS1tOQvvJFlXTfpSiYDQSZjTNgReJ4TLHjgvnt1H+06eJYUOFkHdemW4LILdek0yDaaCTgFT7Q4wKLKDRwroPxczWxJq404k2RyhgdPrLb84H61j9xmfq8RJ4gc1qSBp8s8bPFLAArQcAstmrX/3D7RXpFW9PE4peyzbXKFVib3SZIt5WhEzOrUUeZhgyrbX35JbmvExkp26Gm3DiDLmKCEVTEchFBADN0DVI9vtiExnA0AG6QxV6tpX1e5RsYu1KkxkU1oSUdECkia206eOK6+Y+8DZDVVKKEer0m70CxLIJtkq/an53YBE2QZmy2FkivxLqFNXwgGJPB9JgEmUnciV3I/MTbG9jHbx8fNZrcA8ppkRXuFs5wIMIEJo0zEIYRpHi9rnQqkwEAKFBr3qrDGQj2nUgA5TpAoDSF93td27wGAjK0quTGReCydy2esCDqeUPeWN60aE8HZvpAkyVNCiDUAVgMQALYlSVKf8pZNUVSr1eluwoyJfCzMeCuOxwf++jFsP3oGO3//XcZL3eGxGOsWd+FHB4ex/7QEJrYfGUHgCVWCsc7bhW8Gn8NV+3dgT7gC+OBXgOXvBAAs7DqkjrVkjqlFN7etiHesKmK2xFtxXjSLfCx05GMx/THb308mm0O+JxDH5MphrpgD2hbQdt4AGGjB3oVp5cx2c+AJaJKYK7QZurmlMQFIYMJeaaVfW5ndIG+/Cyyo12ugV9KClWXw47jo5sQQMYEJM1Gz8rtzYkyYGhN6LOxyA0pcx+tRBuigdtiClHY/eTvqNTkWbrtQtysHfY8SIVv8ktpgJ3gktMiV/nnfVWLloOxHsUzWbf2Jal2v6vJVWNmGGHFMwIg5Ri4QJIkaAHzGmKDj2uKXMunitoqApql7nr6GLueNIisn0ewRc/zoHrHH3WBMWMCeJ+AsXTK1CbJzmsprMmUUSQzAc+yjE25Az0nllFJv4soxCRvp9ZRyBOn8tEsKqC31RhbYUawDh8YEuXxwdouOxGk9LH9n53WWcmSBCWI4JA5XjmYOJS6xYH08/yyMiaxFs+1QYovbNqIEIr3WnO1Ta8jSPtt+tBBIRowU2jQ1aZQrhzWnJWgxszUmAOBqAGsBXA7g3wshPjJ1TcojjzzejBitNlSZxsM7Txjbjk1IZsT89hL2n5LM6B1HR7G8pxXFscPAHR/DbY9+EMvEUfzn+sfwjbV/p0AJQLtq/LsrFmUe8HnkkUceb2Ccl+8nfurKYZcoTCaoZyv9284RkjEhyw2EYzU4Y/FHdPNGNukiKveogzHRWpQAw6/fltXQCHw3Y4K/jNqMCVqdBZBR3y/4HsbSshYXs0KLC7oBg8kYEy5XDtJIMJgV6fcqtUa2DMXh0OHqp0kVl/83tQtljg3Caq9L/JISmMhhMcuFFnn/eSLkKgGQK9nZ1eBiqjHBtR2M4znKUIwyD9uyNj2tvfJs18FTiQq1s57RmGDbIp2QuUo5ePkH31Znwp1GssvsQu0cPkjFSvkY8J9dbg4F30O9EUvQx5pPnrU/RYadYTGpxuuSMWHfW5MCEymQ43qHI3ZWhgngC8SJHKsMm4IxJmz7TMCtP+GljIlm4pfNGBOGcKdxrbT4ZdaFROtZZFw5mPglHzN+W7jGj6x4nQBOZIIF/Hi2voxmtiWZcqJC4CF9zGXuHw1Wm0A2L9fI3vvetJZynJUxIYT4ewArAWwFEKUfJwD+bgrbNWXR2dl59i+9RSIfCzPO5/EYrtTR2WKqo798SPthP7vvNG5YIzUfTo5WMVoXWNnbit0nx7D3pLQE3X/kGP7f0p3Al/4ZSGIMXfkpbHpkHcZQxhcXdRvHXjW/Hc/+1i3obpn99p7n87z4cSMfCx35WEx/zPb3k8nmENVWy1IO/iIsafSuUo5AJVcOujmrd+YJA18NbsQmrXwynQbNmIjQZT3nNyyfg/s+805c0Ju1fQ48xphg7ejq6kToV1Lbz2wpB1GSQy+7rZIyJgocSEiTKi1KaLaj2Wqwi4rPf1aJSxPdj2YAiH1sAEY/SbMDALo7OwBUmtiFeopZkEl2Ut2FKJPcp8BElHUwII2OZjaytbMwJqI4QSk0GRMnR2sZBoZmTCSZRIhbNdrt62hrAVBVAJNa8bWACQKLNDuESjl0vzS4pEs5bJ0LrrfBxQU9gRS4Q7pNj0Uh8JwMJkDfd3wM+M/VRpQBH7jGhD0/i4UQQJaZE1iAZWDdqyR+2YwVIdsEc1t6TNfSEt3/ZYsVxVlWNsPB94TS93ADqlmRXSp5cDpvBD7TrDAb7xLXBEzwMstwEE0ZQs3YTQZjwnXtlYipDaqITEmTPLYGyPi5uDNMaDEm2ksBIshncOb+tkSAOVBI96GtMULOKtMVZwUmAFwF4OKE7u5ZHps2bZruJsyYyMfCjPN1PL7z7AF85tvP485PXYeLF2pRSwIcAClsSfHsPul5fPnSbuw+MYb7XjyE6pNfxdfHPof5lSHg0p8Gbv4cWtoWY+yR7wOAcVyKOa2FKerRmxvn67x4PZGPhY58LGZEzOr3k8nmEAETtisHIJPdqsPiz37Bd4mg1SNz9Zv71tejBOVC9sW96tKzYKUcPe3ms14I4QQlAPmC7QI6Nm3aBP/+76f9zaZCxVC+5LtcOUYdpRwqUUsp2/aqrxaVsxIGx3gCZuLaiBNDf4I7gGRq/5us3AJmssNXZG+44QYE996pwSerlIcEKTOr5p6skbd1H2icbTo3td1Ixi1gouEor6BjEmPCcAEIpQuAndzzFV9baBNgVo1WEnfl+nXAs09qdxV2vCittxdCgiSGwGWUXQ0mBkCDMSbskiZZygHjXEAKCMUxhPAghC1WqfUuMpabxMyx5iBnI7kEJJuBTwv65gNHDjkYEykQ1+RenWjEqMdJBtAoGMCZG1RzkV5JaLe7xbz3fZZYuxgOrlKOjK6CMNsUpboPdjlWV2cH28fcxu9D3ozJgEIC9mJH2Qi/P4uhu6wjo9+RCou6xiLwhdM9SdmFKick8znF7x9qY0cpRCGQ5dHNGBM2sEdaNYDpXENtm+nily8C6JvqhrxZsXXr1uluwoyJfCzMOF/H428f2g0AGHz+oPH53pMV+J7AtSvnYu9JLYD58M7jCDzgsoUduB7P4f80/hOKd34aB5J5ePyGfwR+5itA11IUAg8fvbYfn755lSrdOB/jfJ0XryfysdCRj8WMiFn9fjLZHPLTlUKpMZGlX7ss/rIicuY+cjXQTO61qJp0tuAJt1q9c2hM0Mv5mWojk1hNFpRQ2m3funWrFttziGcSBbyrbLIzQlbKYQATXHTSpktAMyqo7ES3r8lKK6P626KEdK5KLcpcq2CSRIj3kzMmtm7dCt8Tis5tunJ4CixwOZSQjohL/LLuuI6kMUELpFnxy9SVwwVMOKwaSfzSZkU4GRM2MBFFGWBi7+7XAGgmgAZOTAAiTvUnFABiWSFK1xJzPvMElAtw2qUcQKrtkWpxZIEEBuY1AcBsAUl1r0bZsS0GvgR3HIDQ8JBcOMqKX1qMCba9lDImnGAWa3unfW8FxJhwA4UAMqxYOr7rvgvSZxDgZo+4mSVpMu4Sv6xUmEike3wBt8aE/R36XZdJWf1lGhNFi8HG+8eDxs9VNuILaXNsH4O+l9GYUEChFIHl/eoohzhySjKg49itO2TbJhuuHLYjjyemVfzyXICJHgAvCyHuFkL8K/2b6oZNVezdu3e6mzBjIh8LM87H8RitNrAj1ZF44rVTxra9pyr/P3tvHh/FcaaPP9Vz6xpdICEEEqcEGJABAz6Rj2DixFa8cRLna2ezSbw5dxPndq5NsrvZJJtrsznWyW+T7CabTeIcXjk+MElssLEtMBhxGCQuSwiEJHSNzhnNTPfvj57qrq6ubiSkkUZQz+fDh5k+qqverh71+9bzPi/m54ewdG4OWrqHoWkaIqNx/GZfG96cfxLB/30Tth36MHxI4JcVX8Gbx76EuStvsrTxpbtW4cHbll/WOhKX47y4VEhbmJC2yAjM6vcTtznklMoB6A6tq9J/6qXWVpWDrppaHC6T3p5IakJHeiwhyFt3WDW8GJxWLFtbWw1mAO/cs2Mq4Jh4fq8Z6GDt5GccNZF4H3UYswNWKjrrxFhWxS2MCWtwx+1a48nhB4Ag4/i0trbC51GETBVWGNEpMMGWBNXH6hawIoawJGCu2FJHSC/F6p7Kwe7Ty4UyzhPj7ABmWVp2n9EPQcWTngsdAOzaCQajgwr42cQvU8EHGnBRCFOWlO4zhQJ9zEq/yq0gA/r9pxoTNubLRdID2P7yx4k0JkxNCHtVjtGRIQB2zRSjNKmgxGzQp/9exEXil0zfCzn2g5HKIXi8aUAonzvHCAjG7UwQhRAm9cLczgZp+LF5FEVP5RCIacbHYkLBTMBZlNISVBAwVaiGA898Yc9zSuXgyyQbaRRjSVt7HkWst8GncvDisazGBD0tN+hFZEQXv0xy4pdsVRa2v/Tvi5aqDML2g9VFmQmMJ5XjS+nuhISExOSgaRp+/8o53LC0GKXhoLF9X0svkqqGhYVZOMOUBdU0DYfO9mN5SQ4WFGRhMJbAQDSBY0cP4ev4d9SNvAh0FaP7pq9g644FyG0Lwe9NoqIoeyaGJyEhISHCl2a6A+mCRyGGY+r38C/Q4ioArDMJ2FfOaEUJkY5EIqkirqqWVT/eoWVfoIM+Z2fMDVYxSHGevCgwQd+T+RRBizCohTFhrhRm++2vuvTlnmdMOI2F1Sfgc//p55GxJObkih1GwL6aTvurEGvARu8/wVDM7nTRPHhReoVxjzWx+KXhCPGpHIwzbpTwNBx/zaZLQo8zxC9tjImkYV/aD0UhIASpcxSbPXQmDQ0WMNtTH81KM9YVZFYvgpY/tWxnKmwYrBdBVQ5FIUaQRpRq4lXM6iV8SgE7B3knnvbTiTERS6iWZwnQAxMjY0mhxoTCnW/0gXdAmU7SQAdgDSgC1memIJtnTOjXED0RdEWf15cxGRP2qhceBUJnnGdMsPalK/ti8UtNmP7Btslfi4pfsn01vytIJBOp6kTOgQlRSg5gZ7GYpZ2Ttt8tPTBhrf4C2FM5aD/ofYvGk8gNei3Xzgv6EE0pLPFByQDHmOADhXGmPK6ZdmUGTWYCF2VMaJq2C0ATgNzUv2OpbRISEhmCHUc78YnfHsRDfzhk2X6wLQJCgDfVlKF3eAyDUb2S3qkLw2jtGUFt1VzMyw8ijCEknvoMNjx+O7Yq+/Dq3LuADx9A/pYPgnh86BuJY+mcnAm9gEpISEikE5fz+4mHEONl0pbK4SXCVA5bIIE5zZ+qhhHnaPlmKofOmPALVvjHBPRrVvTOXsbPGW6pDbT/LJOAB5/TztrG77WPS9VgExcETBvl2AIT4uv6mNQQfuWZpWzbnB0XxgR1JoM+j0ADw8n5cc5bZwUkFcE9Fq0uO4lfGloNNDXEVo5RzJgIpCobUCYDz9wQVeUw27MHXOit4x0rHxNQAxjxy5S9eZo6m8pBdQ74VXhaDSPJ5fDT6+k0evvKvXvJTWughz9uTKAxEfJ5EB1LOogm6v/bnWozIMDvN8UvRXPG/M4/C6IAIQVlsGRx4pd0nqiaIFWCsM64PWAXFzAmaFlNvhIOoDuwovQPvQ0mMMEyhJjfiAAXEKLaHrxuin6svfQxf13eXgEmOCpiHIm0gNiAlUKs892jEIyMJW2BhLyQF6MJfcGRZxzxVTnoLvr7PRpPMs++2YeZZExcNDBBCHkrgL0A3gLgrQD2EELuSXfH0oWtW7fOdBcyBtIWVsxme2w/otMdG073GD/UAPBa9xDKwiFUz9PFKSlr4pmmTgDALUvzUNP2CzwXeBCFh3+Cl7Jvw9/kPIzF7/oxEMyD16MYLImq0stXR8INs3leTDWkLUxIW8w8Zvv7idsc0itvOAQmmFQORRG91NpXTQOMuCC7Om+mcugaE7yeASB++WdXXvmVQjeIAimAbguvgxPHgk/lEFXOAGCp3sEzMwBzxZdnU/AOOAWtHBEzcvjt19I0warpODQmgpzTs3XrVkdmiUVok+sr1Sbglfl5cUErdZwYTABAsKKqakiqqo2mbohfanaNCarDwbZjnmOnjtPjKDuDndM33nC9pe9Gzj2TggSYARKz32a6BqA7vx6FpBzCpLHP4limGCd8Dj/AaLRMUGOC7rMxJph7ws+LLL8HI3ExY6KyYqE+fgGLCmAZE+Z+Pb0mKRSWZfvuJBArStWlzw+rvcD3yxZUYRxet3Khoood8YQ9vWLOnDmOgQmRbgPA6brwfVcY8UuuvYBX/LsgSqWjoEGQ0TFxYMKVPZK0VkgihCDLpzNfTPFLfV9u0AcVZtDCOl6TacG2TwMT0bhAqNajGOV2ZwLjSeX4HIBrNE3rAgBCyBwAfwbwu3R2LF2IRCIIhUIz3Y2MgLSFFbPZHjTgEI2raO0ZxrKUGOVr3cNYPCcbCwuzAABtvSNYVRbGM0c78MHC/Sj7xaeBSBueUWswfMPn8a8HPFhTnm+xxeLibJzsGsKykpyZGdwMYzbPi6mGtIUJaYuMwKx+P3GbQ7r4YSqVg3sp9imKWdmCW9UF7MJp+j7dseJLBiqKWQoxnrSq9tPDRFU0WGd6YowJ8epyJBKxVXAQgc+DZ21jDVKYbfM6EgCMAAOfypEXdH4t9nn0l3++7+wqLF/O1JovL3YKbQKHkQh3j6x9AMxqIyz8XgUjIwnbSjvvxDtpVgDmfNIZBkQ4Z2gbSU2fN4pgXojs5E1VAjCENrmgharZxSVHhnVNBZMFxDE6DCFLaypHwkjlsF7LnxL7BGBfXWaCD/o55ni9HoK4qkETOK18OV8WRmDCgTERS9gDTJThQIid7ZOI61oCtjQoOi8EjAma4uPzKLbzaP945oN+Hp0Ltl0oS6UMF+VwGhMOTB/+u4hlIvqdsYiEch3R1ARiAjaXWz/Ye8UzJrwpnRPAHmDiAzAUfFoUCzMoYO87G5gQsUdEYwr59XlBg200YJQX1NNpBqMJqKpmuV+8+CX9jaX3Ww9mWH8X/ua6CsfxTgcuypgAoNA/+in0jPO8jMSePXtmugsZA2kLK2aDPY6ci+DIuYht+5neEaxMsSJOdul/yFVVw+kLw6gsysbCIj0w0do9jOGjf8Ln2z+ET418C8gqRPId9Xhv8tPYP1qGtt5RVJXkWmzxj3VX4SO3LsM968qnYYSZh9kwL6YL0hYmpC0yAml5PyGEfIMQ0kQIOUQIeZQQkj/ZNkVwaXaSdQAAIABJREFUm0O8w8TC5yW2FTD9s35cTLAy7vcqUDXdERIxMKioI+vQE6I7eqKXdScxuIuBbZ9dXd2zZ8+4UjlCnAPFUtGdRAj5vHrATGvg6evFOQHnvnsVw+H2cg63qA/6dztzwWgvdR94B2TPnj1WOwnajybsaSP+VEUMnglAb7doddlI5XDQVUikghY2jYkUY0IVMCYAYGQskWrDzphIciu+dJ9REYG51pFDB/W+c7opRioHU/KQsiL47YDpXPsY55NPy/B5TPvp/bMGnKgt+OnO3iv+HlO78XOa9lOU8hDy6+kwojSPrk6dHSvSRwBMLQ5eKyapanoaF3cfaSUOUWCCzk9RYOIf7lyJ/7hvHdaUW38anZxs/ruIFSEqn2lJeeEDeH19Quee/86LAFPwLAh6//XzLbscGRPstURlnem4bOKXhDClU8X95u9xVkp7hA+25YX037DIaNyWWmVqj1jtFPLp54yMJWwslruvLscdq+c5jjfdGA9jYjsh5GkAv0p9fxuAp9LXJQkJCSe88Xu7AQBH//F2ZKUoqKNjSVwYjOGtG8px9PyAEZg43T2EwVgCq8vDyAv6cEOoBbft+yayh15BPinGazf9GxbVvhMeRcHiObvw+KF2AMDykhzEhsxrloaD+Ojrlk/vQCUkJCQujnS9n/wJwGc0TUsQQr4O4DMAPj0F7Y4bTivygDWVQ/QiGxPoT/gNh1G80h5LqIgn7KVJPUxggl1sJYToK7uC/Gk3uDEI3FI5nvzwjTh6fsC23aIxwdHSac44z4oAYAiL8mwKfgWYhd+jYDSecrgdrstT5dmVRyeNCRHjRMRc0ds3Kft8e0a6zsXELwUpCkJnPGW/hKohi9eYILqzy+tP0FXo4Zh4fiZUs/woLyJIS4la01D0/3mH0SwLquqVBTQqsElS5Q5NJgXbD39KAwMQMCZoVROBxoTXw5QLdWFM8FPXqQSuG7OABtJUze6c0lacUoZEqRyelHCnL6nZUnJqq+bgo7ctFzJijVQOgfxllt+L1wucVze9Db4Ki7GdS2th5wUbtLBrVujpU6JriVgXgJXRZEtDYVhqbqwYHh5CkIQ9eOd3Cd5aNCa4IIpCxNo4QZ/HwnCgp1FhzZ7hmM4cEqSuGOVCOcYEZeaIxjxTGI/45ScB/AjAGgBrAfxY07RPpbtjEhISVrQxVTWeaTIXCU906eVAV8zLQ2leEC09+nH7WvoAAJtzuoBf34f/0T6LOSOn8KfKj+P2xLdRvuWdxpvm1QsK0D2kUwRpGoiEhIREJiNd7yeapu3QNC2R+toAYNrpYqI8YQq2Koeo7J7hxAlKWg6PJS1OL5ByaJOpUqJ8dQiWMaHwL8riFX83WHLQHRgEItG9lWV5uGe9/Tb4LrICCohXg6lTwActsgQVPNj2hIwJB9YGYGV48HbKT61WU3YBC1NLweqomRoTAiHDVIDJSfxSRJX3efSVW1F6haGrINA6sIpfmtups0fHZBe41K/F33tWGNOSxpL6yOtjUMeWihUCZptej6llYAQmjGojJoWeL/3pVczgiMgWtGIHr7ngtwSpuGfVK15NF2nDUGRZ5gx3HqF9Fc91kfilV2ErqPDpCwo+ctsy4Qq5WyqHE5wCAgCnx+AQwLCLfTozJth+ieaTaB+tDgPYfy+8jIaMW1UOHkaJXc627LwQlQu9WEUREWNC14TQv9N5SFlePUNj9sAEJ35Jd1lTOSDsx0zB0dKEkKWEkOsBQNO0P2ia9jFN0z4KoIcQsmTaejjFWLt27Ux3IWMgbWFFptvjQFu/8ZmyIgDg+RPdAIBNi4owLz+IzoEoAODVY0fw/dCPseDXtwKvPYfHi9+NtwYfxm/IHZhfnG/5Q7m+ssD4XFGYlfG2mE5IW5iQtjAhbTFzmOb3k3cjTSxRtznEBhX4VXh95d4ucOmmMWFSehO2F96A14NYXEUiqdo0ElitC1H1AHrMeGF16M1rrV271jUw4QT25V+0AgrYBS4B04Fzczh4BNhUDsv9EetcANY0Ev5a8/L1PP2+kbhl+9q1a4327boU+vdoPGkLItEAk5P4paiMLCvqqB8Ly75EUhNWh/Awzi7rkNFg1bAw5cVkHfAyIobGBBcsWHPVKgCsoCt12lKMCdWuCUFLewJmKgd1DCkrAtBTOXjmQkJlyidyAZxEUu+fm/glH5ii/bRvt7MCKIIuwrLzSktsfWOPMwOWHNtD1RBPqrbfEjcYqRzjPsOdCcJXaDG2M4fZq9qYgQmeWVRUaL638uwC9neR97cpy0JUlUNUKUM/1llzgU8vorAwaVw0JvhrUbvZA1ZejIwlGHaTvr0oxZjoHR4Tlu8FnMUvaVlatr2Zhlsqx78B+Kxg+0hq351p6VGaUVlZOdNdyBhIW1iRKfboiETRcLoHb7p6vmU7ZUwU5/hx6sKwsf2Zpi5cNT8Pc3IDKM0L4kJHG5JPfBL/cPongOIBue7vgBs+hmPPd+HkrtMYVAdQs9CaF3hL9Vzjs9ejZIwtMgHSFiakLUxIW8woJv1+Qgj5M4BSwa7PaZpWnzrmcwASAH7p0MZ7AbwXAMrKylBfX2/s27JlCwBg165dxraqqipUV1dj+/btiMViAICWlhbU1taisbERra2txrGax4yv7H95L0ZPali7di0qKyvR290Fuq50vOkYtiyfg4aGBhxu6QTgRfPJ0wAUdHd1of7oiwCAV7sIAA+GYwmoo4NGXysqKuD3KmhrPw9VA06eaMZ27TVs27YNTU1NSCbiGEvqb6xDQ4Pwq1FjTImYBwCBR1EsYwqHw8Ixbd26FfFY1Pj+l6efxLoafUwHDx7EYL/e3pmW08CmhWhoaEBnZ6dxfF1dHVpaWnDw4EFjWzS02Pi885k/IezXx1RTUwNN1VftezrbsX37BWNMzc3NyEoqABQko8Po749b7hN9NebH5PMo6OnXGYqHDx5EfUcjtm7dit6eHuPMzvZzaGkpRGVlJerr61NOrt5edsBrGdOFUXMfO3c2bdpkrhqqSdTX1xtjOt50DADQOzAENaDfFzqmc2cUDI0QqBpBfCxmtNncr9976pAfbDyAQPsrCIfD8HvyMTQaRVNTMwgIHnvsMWzduhWRSARjsVGcbmlF3zDBnJRGK21zIOKBEvcjqWro6uxAff1J3S69+rXOtOtj3Pfyy4id0vQxEaCl9Qwu+AAtSdDY2Iiamhrs3LkTkb4hDBINQ1EFXoUYYxpJ6DYaGtHnzYFXXoGnbT+O9enXiSc1PP30jpQdjmGncg5eD0FHVxfq60/g5Qupscdi6OgYQnRkGK1tQ6ivP4PRWBY8nhxjTMODHnRrUYNl8cq+fdBaaHWREgyNjOK1wQuIRgnq6+uxadMmhMNhHGp8BYDu6LWcPomNizbqY4pE0HNBn2cBr2KMCQB6Y+a97+/rNfpQVVWFLH/YmAvNx45iJzlrPE/dXR0APOjq7MTo6CgikQj27NljzDOaavTkE48bpVa7LuQgqWoYjY2h7Uwr6utfAyB+nuiYduzYgXPDeptjY/ozQMcEAIFAwPI8UXgXrDE+nzh+HPWjTcbv3vCgmYr1wvPP4dZbbjZ+IxR4oEJPY+jo6DD0d4500vus4mzbGdTXtwAASkpKkJebA0Dvz96GBgw0acaYDh08ZNyT7q4uFBXmY8cOfZ7QawW8HsuYzrb5jIDW0aNHUN93GID+Wz42ar5z19fXW37L1WQCAEFXx3kAa4wxtQ6Z9zg+FrU842PRfCMwQZ/HkpISbN68GdDU1DH6OXRMkZ4u9MQIDh/pAZ3T9U8/CVUDCDx49dQZJLUghofM3/dR6EGLsx0XAJjPT+XqjQCA3Q17EfYDgAdnz7YBS4vH/VtO5x4F/fvEjpOOqaGhAeOFW2CiUtO0Q/xGTdP2EUIqx32FDAO9yRLSFjwyxR7v/OleNHcOYu2CfCwqzja2n+0bQVG2H1fND+NUijFxYTCGV8704cFblwPRCN4+9HNsGPwVlH0J/CZ5E0pe/0XcuvlqAEBF4TASqoZz/aN464YFlmsW5wTw9o0LsCBVvSNTbJEJkLYwIW1hQtpiRjHp9xNN025z208IeSeANwK4VdPoGputjR8D+DEAbNiwQRPNB9G2bdu2AdDnUG1tLQCgpqYGNTU1xjGndpgv+1tuuA7XLS02vpeXzcPRft3xW7VqJQBg8+bNmL98BF9pfBal8xcAXecwv2weNl6vrzhrB87hV6caEY2rqJxXjLq6zUZ7/mefQ3a4EOi4gNWrVmLbzUsBANXV1cgKncXwoP6SWpgfRn6W3xjTj1qeR9f5AWT5PMaYWPBjAoC8nGwA3cjye/BXb3qDZV/J3GKcGuzBiqplxph4VFZWWoKCv93XBuAMAODOO15vKSeaHQxicCyKqqWV2LZttTGm6upq1L4ujlfa+rB4vh6UZ+/Tq75jGEuo2LZtleXa3zq8G0ktACCODevXoS6VWlI+rxSA7twtrqww+kfb/GjDE3p/Al5sXmuOKRpP4p8bt9uuX19fD793DgAg4Pehru6Nxr6aNauBxn0gXj+KCrItY3r1yWNouNACQEV2Vgh1t+ptvniqGz88tsdwhDZsWIe6q/W+P/W7QyAeL5Ysq8SzHaeNa4VCIYRzc1A6P4ye9kjqvpn9/Hn7iwj6FCT6+lA+vwx1d6wAAOQ1deE/m19GbrgAQDuuu3YTbqnWV/l93ibMm1+Owmw/9vedNeZGbW0tHj7+ElQV6OsehqIQY0yP/CHl5Ci6u7Lxmg24c20Zik924+GmPUgkVdxy2+uA55/G6lWrULtlCby7/4T8wiLU1dUivv8s/ufkQWSHQigtKkJRQRjFeUHU1V2D7xx/Fh5CjDH97OwLyAl6jRXkTRuvMXQUfv/TvVB8fpTPW4D2RC/q6m4x7sm1mzbiv0/sBwCsXlltjAkAtg/ux5G+Dvg8ijEmADgfGcWXX3kGADB3jvV5bG8yg3FrVl+F2hv14FtNTQ1Ce/S5npNfhFAohFAoZPT/43ueMFJy7q67y6D6H3uqCYmW1+D1erBsSQXq7jLnNf88UdTV1eFE5yD+9dBzCAaCljGxYMcEAC+c7DY+r1pRjbpblxnfC/LDODOkBwFuubnWGFNNTQ0+ufcpvUSmR0FpaakxptG9Z/DI6cNIqBoWL6pAXZ0Z+PjOC38EDdDeeL35G1lZWYkN67349Wn9mSybVwpFMe/zp15+CrGEioBXQe115piOPnkMz5w9DQBYu3o16q5fZOwrjpvuMvusbtu2DZ/ZuwOjI3EsXFBuGdOx8wP49uHnAQDZWVmW8/743y8j3qUH29avX4c6Rlze5/UimkggNycbdXU3G2NaXNGHgbZ+rFi5EI+dadKf8VSbX9j/OLw5BdB6R5AfzkNdnV5mt294DA+99CeEcsMAIsbz0xHRr71i9VosLMzCD47uxaLKCmNMPES/5ezcYyHaJvotd4JbYCLosk/WSJOQSANGxhJo7tRXZP5yrBMP3GiuBp3tG0V5YRaWzslBw+keqKqGZ5o64dfGcG/8UeC7P8RNo314XN2MkesewmefHcGzS03RShp0ACAUOvrqX62xbZOQkJDIQKT1/YQQsg262OUWTdNGLnZ8OmChkTtoJwBiMUme9g6YtOLhsYQ9F9qrGGKFPB3ZQrnmRfpSdGCRuKQTKCWar4ahX3viqRws7V1U/g8Qp3KEs3y4uWqubTsAfDblZNv7R9A7bLeTm8YEi2xO6yLoQg+nbfJ6IJZUDkFO+5igSgGlkQvFL726wCVfoYJeK55w0JhIiV+qqvVadI6YuiTW+ZkQVPIA9Hk8kkikxCXN7YbGBDcuoyyoQBOCVhMBTI0J2g0fY6MENy6qMWGew9gpJagpEr8MMvPOlrJBy4Vy2910FWjFBNG+7NSuwahAl8SjOApIJpIqEgqx2d0NRhMToPiL5gL/3echNp0ORQGQdNZbAOwpD5YUEBdxUT6Vw5+qvuH0e8FfF7hIKgczLhbW32m+787aPV5ujlOEOPFLdlw5Xj0IkVTdNSbovhAjfmmkLmW6xgSAlwkhf8tvJIS8B8D+9HVJQuLyRzyp4ucvtWAwas0t3fNar/F5f2uf8VnT9NKf5QUhLJmbg2hcRXvvAGINP8HzwY+jZM9XgPnrsevm3+Hv4h/GY21ZyPJ7UMEEIyqKzM/LBYEJCQkJiVmCdL+ffB9ALoA/EUIaCSEPT0GbEwL7UupUhg6wil8aIoeCPHOqxRCNqwKNCQXDRnlHFwfKQRAuJ+D80s6DlicUBR98DroKbmCde77yAX3RdhO0nAj8XkUo6sjqcrgFVUQBnJ+8cwOe+siNtu30PvDOAnsf3atD2AMnYvFLxQg+2B0kBQlVRSJpF02kQpYJVRXqJVDnX6QxIbqWRyFIarBpVjiJX1JHVFRRhGpFALDt4zUmRFoMqgrLOca+pIakJtAf8DrPQTqnbdVuBJUnKFjBVD54RQMTA9y7I3ttUbUbVdOdU94ZdwPliU3EXXXTzjDESXmBEWbfeKtrANbARJAbF1/pwtLH1D0J2jRpnMUqXcUvuTkpOkekCeKkZ+GkMRHyexAdSwor6HgVGEK17LX4wATtIluVg9esmGm4/Vo/COBRQsh9MP/QbwDgB3B3ujuWLpSUlMx0FzIG0hZWTKc9frr7NXz1qSZ0DkTxydtNGtyLJ7vh9yq4bkkRmjsGje1Hzg3gXP8oPnjzEiwpCuIezy4U/ezT+OvhNrSEVgFv+zlQeQNCr/UCeAm7T3ZjTXnY8gM1LxzE4uJsnO4eRkVRNtwg54YJaQsT0hYmpC1mFGl9P9E0belk2xgP3OaQ5eXS5uywjhv7cqpvFzmFltJ1ApG27qFYqm1nxgT/okxX7ibCmCjI0lMt6Oo9RUlJCXyDeh/pCvh4wDokvGNAV81FVTkuBdaqHFangzrqfGlXFiLmxq0r7HOgpKQEgT69/ZCfu/cu9zHgILZnil9qtn2UZZHUNLuoo1cxql6IqnJEE6kynYJrxbgVWnoOrXrBO2Ns5Qh237ySuQB6bavLdJ7qwQLNti9BxS/5cqEeM7jEi3p6FX0fL6apt5kqq6ppNgeOdfZ5BzYvqAfinEQx9XOs85MVTA1xgYkFJYXAsQiGhIwJ8Uo7/a5q9qohbqC/QXmpYOJ44FYel7YnYm04VaJwY0zkZGUBiNqu63QNY1/qxorEL43rTqAqhzHvuGtaSqfa2B7O43IKTAR9HkQT4ioaAZ83JdxqDex5FV23g5aRNavaKPB5CEbiSWEVmpmEo6U1TevUNO06AF8G0JL692VN067VNK1jero39ZhInsvlDmkLK6bTHo8dbAcAPNt0wbL94NkIVpXlYU15Plp6ho0o567jXVCg4k3KC1j/+O34pu9HGFJy8K74J/F/634GVN4AQA8+ULD6FIAeNd7+4E14/lM3X5QqK+eGCWkLE9IWJqQtZg6Xy/uJ2xyyBhXsDqN5nH2VnFdgB5zTP/T2FaOKgm1l1y0wkYotTCwwoTs5CS74sHnzZssq+Hjhlg4xlnJOsybA6HADpYADzs5fwJUxMb5+bN68GcFUMIV3TN0CRY6MCRqwoqwDnjGRYh3wTG6folcOSKiaoOqBWVVAVDo1RvdZUl4UI/VC5LSabApz+7XXXquXVjRSOaxjSqgMY0IxnS6DFcHR1P1eM5WD7wcNnBipHHz1ktS1eEeSXXnnAxCFKc0T3udjH0F+tT/Lwpiw7rtp83oAwGBMVGJWzJhg2S5uqUY8Fhdn4zOvr8Z/3Ld+3OewgTSbw82Uc+VB+2xjFgh+3yjKykztYt5Obk42DfTaghkOJUyB8dnNlk7ikhpifY6t7TjZyUN05osolSMvLzc1d61zixACv5et4mSeFPJ5MBJLCOf7TOKiltY07VlN076X+vfMdHQqnZiIMujlDmkLK9JhD5FmWjSeRFOKDXGia9Cst61qONo+gKvKwlhekgNVA17rHgZUFb6mejwTegjZT3wAij+EDyQ+hi+V/ADPJq/G/AIzRWNuXsD4LGJF+L2KRWvCCXJumJC2MCFtYULaYuYx299P3OYQ7xSxYBkU7EvoeMqFAoKXbo+C4ZSjY8/Vdl71oyvLucHxBybyHRgTDQ0NRv/pyv54wNOxWVCtjaliTFhsKHDUgYmncojQ0NBgBCT4wIRb3rrTPaa30KlcqKoBcUGwwCglqtrTfzwKMVKGFEGwRJQ/TzUckpoTYyK1jzmnoaHBUrLWXPE154rBcEjtKw0HcT5VNp2nqeu6GSabwpoyRVM57CvIbKlTu/6As+NPA3FUw8Vsz5kxwQbb+MDbySONcIJT2gg7xomUxyWE4H1blqA07CbpY0WIYQXZHGvKihA8I86MCfsxFF2dZgyatyH/W8WC9ou3hVv6HM9aY0Ede3684y2datfboIwJPjVND6Zpmh5EZM8bGR5yZCPp5aXtz+qc3AA6B2KzLzBxuYEtPXWlQ9rCiqm2h6ZpuP8ne/C5Rw9bAhRHzkWQVDVsWT4H8aSGrkH9D+jJC0MYiiWwen4YZfkhABrirz4G7Uc34H1d/6T/gXrLf4G8bzcOZN2AA239AIByJjDB/jgvKr54AMIJcm6YkLYwIW1hQtpCYrJwm0Pj15iwfxZpTAQuksoxMiYWv3QTs6OsB1GKghPoCnKCCz50dnYaTriqTiAw4ZIzTwUC5+df+t9CFux98HFOA/0TzwuVshhvYIK1Be+YugWYnGj0fIqPhUnjNeeMaJV4LKnZUh5oG6KUIeoQioJjhvilo8aEPW2ks7MTXiYwwTu3iVT6h75PP6e8IMsor87T1P1ej8mYSGq2oAplbQC8xgRNa7E7kuyzxTuwtErMEMdwGC9jgg9M9fd0wQn0uXbTaZgIY+JSwPbXJlbpksrB6oOw8CjOgbjoiKlLzAcZ+MAhC4Pd5HUJ+nHnE0Jw3ZIi/Pvbr7a1R3+u+N8EPrAl6gNgD6I4iV9S+yUEwYdkPG6wfezPsUeYWrWwMAtnekeMSi4Zn8oxWRBCgoSQvYSQg4SQVwkhX+b2f4IQohFCipltnyGEnCSENBNCbk9X3yQkpgPNnYN44WQPfrnnjMGQAIDGVEDhDWv0MlRn+0YBAM+f0MssXbu4EIt6d+OP/s9hze4PIREdxUfGPog/1z4KrLobUBTMyQ2gPVXup7zAKkJPf6A3LSpK7wAlJCQkJNICN2eCffn3ChzQaMKug2DRmHBxaG2rrS6ClMlULselpHKIdCQ+eXsV7tu0EHfVlI27PbdUDoqlc6dG7NktKKBBH48bYyJrHH2loM5qyO/sPI03lYOeIkrlMMQ0E0mBqKOCWCoHXSRkKGJF8IwJqwYKZUWIHTW64ity1IxrEavTplcUgeVaCwpD6B0ewxBLUzcYLWZb9qocuthnUrCC7PcQQ2OCv8XsHOTZAFRjYpgLTFgYEz5nxgR//wHg229di+0P2gVTqWPM25YNNqY7MMEGVXimEu2GKJWD9tnPMx+Y7vK2ZYdpq7Dh4mTTZ0gkEmqeb7fT//7tZty11v7bpDkyJpzFL11FPRXxby6dj6JnRCGaGZgQPMdGKgezb0FhFtr6RoSaKjOJqZEqFiMG4BZN04YIIT4AuwkhT2ma1kAIWQDgdaDFpwEQQlYCuBfAKgBlAP5MCFmuaVpS1LiERKbjyUPnjc+vdQ9jxbw8ALqORFk4iHULCwAAZ/tGcE1lIV462Y17ws1Y8IdvA+f2YZDMxZOLv4D+ZXejvr4JH15mimTNydVTNvKCXltg4rfvvxYKISnWhYSEhITEbAO7Usg7u1lMIMAqoqb/bzAmWIfEshpo15gw9jm8QIuo0XSlbbzaCYCZyiEKFuRn+fGVu1ePuy3A7pCIQFkak4WFMcE5IZQx4eb48c6JGwzGhG1Vl3VonOnmfLoGYArgifbF4kkxYyLhXJVjPIEJPs9+NJ4qTSpwxuKCwInehoKxVLCN1ZEAxOKXC1Ppqm29I0Zggo45wGpMaNZxeT0kRZW3joX2IWGIXzozJnjQoB3VcDHGyzQRdCklKgq8/dW6cuG1nBxujyVtJL3eJ9s+DcqY/UjdO4HTT+9rfog/h2WjcHPGct2Jp3IkVGs6mbW6zvifVTpf+N9VN8YEu4/vKh98o6Bf40m7HowCpBhHdkaPXg5aD4yxpl9QkIXBaAL9I2Op9i9zxoSmYyj11Zf6R0Pk3wHwKeY7ANQB+LWmaTFN014DcBLAxqnuV11d3VQ3OWshbWHFVNvjySMduGq+HoygtEIAaGzrw9oF+UZA4WzPCLRTO/Gh1r/HN2NfBgY7gDu/i3eEfoAd/ltx4OwQirL9WMyIWRalXrTWlOfbfoTWlOfjqvnhSfVdzg0T0hYmpC1MSFtITBZuc4h9x+Xp4exKpPUFl8DnIYa2gqX6gitjwjkIQo8V+BIGY+JiYsos/F4F//3ujfj5e6yvd5f6PLkxJv7mukrUVs25pHZFCLgwJowVX4FDMxENDkC3BRW/5O1uCTBxfXCaFzTIQUvCWnVJUoyJuCosgxlLqLaSoLT9MUG6hpcPTAg0JhKqKmZFCFJD6urqOPHLlNPGOJd8usacHH3hpnd4zAiesdUI4hbxS+uY4pZUDqZ/HoK4Qw6/2xwMh/R7z1dsYN/beMYECz6Vw+05uVhVDiD9gQl2XPy8N8tq2p8Reu/ys6yBCauwqrXvK1ZUGee6pa/wuCcV2OG1M3ih1vGCBr/4eyxisxn946rVWPY5MSYUc87zc3BeaQnUlD4K33VdY8L+N4HeH5rylimBiXQyJkAI8UAv5bUUwA80TdtDCLkLwDlN0w5yDtV8AKwS1NnUNr7N9wJ4LwCUlZWhvr7e2LdlyxYAwK5du4xtVVVVqK6uxvbt2xGL6eWwwuEwamtr0djYiNbWVuPYrVu3IhKJYM+ePca2tWvXorKy0nKdkpISbN68GQ0NDZYc0bq6OrS0tODsjMRIAAAgAElEQVTgwYPGtk2bNiEcDmPHjh3GtoqKCtTU1GDnzp2IRCIAgEAggG3btqGpqQnNzc1yTDMwpsHBQRw9enTCY0qqwHU33ICgz2OMaTQBnOzy4tPbqnG6cwDPvXIUpf1HQEJ5aOsdxS0LfHj6iT9im+9V3P7SF0F2n8A8rQC/z/tr+BdtgXrWh3DIh/ZIFOe7elDk1fDYY48ZY8JwDwCgcKwT9fX1V9R9kmOauTGVlpaio6PjshrT5Xif6JgkMhstLS2orKwU7nNT0medFWHuv0h40IWm7FZK1BSls7+olxdk4Xjn0ITFJbcstwcL3GzhBjfxyy/dtWrC7bnB52LDkN+L4bGkMEjzl49vQffg2Liv09LSYnNIzT44B0dY5opl1T11fwyBU8HKcFTAmAj4FETjenlC0TyLGcECO2XdCI5ZqiooKQ0HEbXdrHjC7mtpabGkchgBhlS78aRZRYP2kaY/jIwlmVSO1Ji8CmJxFZpGK4BYAz1UgJPvhz8V0NAEtnBLG1gyJwef3lbtmp7kFizggx5uzwl1pt0q66Q7lYNFrgNjgmffAKbDzAcm3ESAB1N/c0VBCFHwg+Kd11Xi3o0LbbZlgxF8kMENTqKeisPvr34O88w4lAvlx0uP0zUmrH2IRaNIqCTFArIzJmilJmufUmwpwd+LmURaAxOpNIwaQkg+9JrjawB8DsBWweEii9iSEDVN+zGAHwPAhg0bNFH0ULRt27ZtAID6+nrU1tYCAGpqalBTU2M5LhQKCc8XbROV+qqsrBT+aIjOp/1gUV1djerq6nGdT8fEYiJjErU728c0mfu0Z8+eSxrTZx89jIe+uxe/f/91xvmvtkeAl3ejoigLi0vy4M0OoK5uI55t6gKwF28vO4/q5h+iznMA3ZiDpvVfQt0Llfjlm7dgQ2UhAOCZXx/AvpY+9Ix58P9qKlB350rj+l+490bc0z6AayoLjR+aqbxP9fX1yM/Pdzx/Ju+T0/npmnutra2W4y+HMV3qfaJBMB6zeUzApd2n+vp645qzZUwSmYWDBw+6BCbYz7wD6nXc51XM1TEv51gZx3AvyW6MCfpd9M76nbfW4LkTF4QVoCYKN1u4YSKU68nCLYBDyySKAhNzc4OYmzv+ygYHDx5EaJ5dZI+/Lu/QZjEipKwDYjAmYjRYYJ5DxxRNCAITFxFFNQNgTP8oY0JQAYQ6/iKdBpGOBKDbwqPkIhqzljs0GBNJhjGROi/LCEwkzAobqX1BnwfRRNI4h1+RT6SqHtj7rkDT9Mom/LPAs1b5fR+oXeK4n/bJCbzGhNtzQlNC+EChdc5MTYWa8SAvxDEmGJ0PHnRfHpfKwfadP6+z8zwAj7BihpOYJqDfE5HNfQKnfTzIC/rQPTTm+lvkVm1EVKFGP4ZjTKS+JpKqLbA3OBBBMhCGqmnCVA5a6cga6LEGESeSapZOTEvoTNO0fgA7oadrLAJwkBDSAqAcwCuEkFLoDIkFzGnlANqno38SEpeKwWgc/7vnDMYSKh4/bE7Xtl5d0HJBQRYWFOgCM1BVDDb+AY/7P4fqZ/8WGOnFL0s+gXsDP8SzuXchBj+WleQabZTlh3CufxTRuIrq0lzLdfOCPmxaXJQxPyQSEhISElMH0aoiBeus2CjxqTx5wKox4XVJAWBf7J2qcohe1MNZPtwpEIObTrg5hVMNt1Kd1PmfqhVp6jgRbs2O7QMf7GAdUr6qi0chRmUI0Sq0nsph7UPA6zEp4K5UdDuLwwgysBoTHmKkXvDzVpSuwY7FJn5ppHIwqRcGY8KbGlPSJmQZ9HmgaWDGZQ2c6P2DzU5ew4mz0+gnC1fGxATmE/1dsDEBXNhX6YSNMeGgnQCYpWzzQ1Y9GI9in6tme/r/YjFNGiicOPPBqU0n0GCKiFVmtsezWFjGhPVYp+olVsYE9/wQPTVJFTxbfgeWlVGtx2AjOXZ/WpG2GUoImZNiSoAQEgJwG4ADmqbN1TStUtO0SujBiHWapnUAeAzAvYSQACFkEYBlAPamq38SElOBl071GJ9buoeNz2f7dE2JBYUhLCwIYHX/M9Aevh53NX0aBd4YUPdD4O/3o63yLWiNJNDcMYDSvCDCTLS4jMl/q+ICExISEhISly/cxNvY6g42oUAHwTVrGoJ9RY2CX1E1tROmz6HJVFjLCdpTOYCps5MTrZptvzQcsOxjGROiwAnVmBA5e8JUDjdRVIf5ZJSsddGYUDW7+KVHIULRSfqdBi2oP2emcqg2gUv6fIyMJQ3GBL0eHRNlgvDCnUlWY8KixZG+wIQbY2IiK/c0MMWzLCypHNP4HOdy1XrcgpxU54BP5RAJtVLQPaJAh5vQphPcygG7gb63u6VCuDEmbGkeDmwPIzCRtKdyEJISv3RI5eDbZtuPCZhKM4l0ztB5AJ4lhBwC8DKAP2ma9rjTwZqmvQrgEQBHAWwH8KF0VOTYtGnTVDc5ayFtYYWbPc5HRvH17U2W4AMANJzuRcCr4MZlxWjpNutm/+GVcyjP8yF84lF84Og78F3Pd5FMxPFZ8mF8f8X/AlffB3h8KC8IIZ7UsPtkD5aVWFXK2aoay0umNzAh54YJaQsT0hYmpC0kJgu3OeT2ksumcvACc05l6Hwuq6bs9xzOmaD70r3SOhueJzdHPZSqDjKRlVYnuNmCdehL8qyMCVZjooCrRBL0eUxlfgGdWyR+yd5z/v6zTowimHOicqEehRgMBzeBRnbebtq0CV7FpKLTfYpCDCYFL37JakzwJUFpEGDI0NuwOr6WVA5BACcmSHmZLCYiSOk2N+jYbKkcM6QxYau84sKYGEkFzZwqeQB29sPiRZWp9gSaFTQwMYHxWsUvx3+PaWBiNJ5wPMZNY8JWUcSRMaH/LxK/nDunOMWYsKeGsPdcFGwTlRGeSaRthmqadkjTtKs1TVujadpVmqb9o+CYSk3TupnvX9E0bYmmaVWapj2Vjn6Fw5OrVnA5QdrCCjd7fPhXB/AfO0/hU787ZNn+ypk+1CzIR1VJLlp6hqGqGo6392JF5+N40vsJkEffC6/Xiw+NfRj11/0e/zu6GasXFhvn08oc3UMxW/BhdaqyxvKSHGEt63RCzg0T0hYmpC1MSFtITBZuc8jN+WH/HtgZDuLVMcXFOWFXbLO40p90hTXdDs1knqfvvG0tfvv+a6ewN2K4CU/SVA5aqnUyCIfDdoE1AfiqAqwQaEGWNTAR8iuMxoR9BV1ULtRNe8SpFCKdc26MCSEVnTmO3RcOh60lR5l9OUEvhmIJRuDSZEUoRC+PmlQ1y/lBQ2/DHqTx0FQOzZ6PT1f5xxKqrVTjZOHGmODh9pxkOaVyuOiSTCfoFBIxJj7/Bl1DbVGxVa/GLZUjOyuUas+FMTGBAINIFHY8oFoakZG4S9tiVgQABH3iZ0tUohdIMSa49oIBv8lG4rrO3nPRnL6SGBMZCVZR/UqHtIUVTvaIxpPY39oHADh6fsCIpquqhuOdg1gxLw+VxdlAIoqB3T/Gwl9twbf8D8MfygHe9j/ovO8veELdjMcO6ar/NQvyjbbLC7KMz8s5xsTcvCAOfOF1+OUD0y9iJ+eGCWkLE9IWJqQtJCYLtznkpvTvVgXD4sSNIx0AsLIuHBkTaaaAT+Z5uvvqclyTEo1OJ9zEL2kaBdUumAwuZotVZXoZ8hJOY4J1Vgo5xkTI5xHqKvjcxC8ZB9fGmHBgOPB56xaNiRTzQS9p6ByYYOf+jh07LN/ZMeYGvRiMJpBIWoUsCSHI8nsZxoTZd+oE0iCNRVyRYXQAHLNEMZklU8WYoA6jKFjA64pRuM0NGhzjK7pMt8bENZUFQsfeTK+w77t/cwWa/mkbVqbmNoVTahoAHG86prcn+G1yqybkBGtJ5fGfV1Wq95nX1GDBt8fOO79nfIwJqqeTFFTl6Ghv1yvKCJ4tSyqHYp/TY1T8MkMCE2mtyiEhMdvw671ncP3SYiwoNAMGzR2DUDXgxmXFeP5EN85HoijLD6GtbwQjY0lcVUSwofN/8Hzgx8h/ph/nc1bhwfgn8P33fwbweVGeSIIQYNfxCwj6FEsAgjImAFiELyl4OqaEhISExOUPN1otqyXAw1xtI47CkH6OZcG+UPPlN6crlWM2wCp+abXH5sWFeOLweUsK5mRw7eIihHwePHDjItu+n73rGrx0qsf1/SDMVTdgnVWR+GU8aWcxWBkTzoEES946o8UAWJ2rgFfBWCIpzIP3OAQf3K6VG/BhMBo3GA6WEqk+D0bjCQS8Hut2r5UxYQ2w6JU3+NQQffxMKofgufrJOzdMuOJFQZYfHQNRIWOi/u+uN9JXxguqc8K3N93lQh95n5i9ZKRyOLARRHYQBdEo6B7RzxxdQJzIeAMugUc33LdxIUpyA7htRYnjMXx77LMWcGJMOJwTFzCOFAJH/RYnxgSvMTGBWExaIQMTEhIpdIwAX/3DYZTmBdHw2VuN7UfPDwAA7lpbhudPdONE1xDK8kPY+coxfNz7CO7e9Sw8YxE8r16FQ9d+A7/tXoTTZBgBn/54BbwelIX1Chur54ctNLagz4OV8/IQT6q4qkxSwyUkJCQkJsGYYAITTuCdTJYxwb/U0tU8GZhwXnkE9BXfa5cUY+ncHP60S8Kc3ACO/ZO9jDCgV+Ooq5nvej7fP9bpc8rbd0vl4Ff1LQ69INVCtArr9yoYS6pQBY6VKB3E3Ce2e27Qi4HRhDCQkOX3YGQsCYUQocaEIQQqqLwhqlLA7hMF/G51cUqdkJ/lQ8dAVOhYB7weBCboodHgE//oT3e5UKeA6KWwGJx0cgAgPxWXm5NjFYEF9MoV+rXGH2BgnxERC8MJikKwdVWp6zE2xgQXsGPhVL2EdimRtGtM0MCEBvvz41iVg0lP4vfNJK64wERFRcVMdyFjIG1hRUuyAMAgOgai6B0eM6iQR9sHkBvw4oZlujZEz7lTwMlv4G17fwa/Nw5lyZ1Qr/8oHni4E3+tVeBEV5dNL6I4N4Bz/aOWNA6KP/79DRnzg0Ah54YJaQsT0hYmpC0kJgu3ObSwMAsFWT7cLnjh9XkUvHldOe5cO8+2j74Au72Q80GGvKDzqyBdzUt3bvpseJ78Fq0CbvWWkCkLSqTDFpbABBssYJ0WG2PC2VGzOPQi8cuknTHh9yi6WKWQMSF2nioqKuDpjBrfrakcPpztGzGcUD4wMTqWRMjHMSa4VA5RCklMINzpY/Lxpyqr6cZlxWjqGHQNNPJwmxt0KBpHtPC4OMHTiYsxJkRwE7+8fe0CbNhYhsriLP40Y17zmhVucBO3nSxsjAnLPfEI9/HPCA34JFTNxm4I5+UiOTgGTbMHpizil8w+m/ilTOWYGdTU1Mx0FzIG0hZWXEiGAAwCAI53DmLz4iIAOmNiRVkeSqKt+Lb/YdQ99wI0QvDH5PUYWv8hvOtNt0MBMD9/J17rHkFLzzDeuMb6wrhl+Ryc7BzEX60rt10304ISgJwbLKQtTEhbmJC2kJgs3ObQgsIsHPiHrY77v/XWtcLtlO7s9neFd054JXwW9AV/IiuIl4LZ8DxZqlSk0R7psIUllcNSqtCZBcJSzF01JtxKEHJOsarpAqH2wIS47ZqaGnj37zH7y+zLS2lMqILV8ZBf19RIqJpl7vLilyJNlnjS3ne2jaly4D69rRp3ri3D0rnjr7p2KXPDUpFnBsv+Xgpjgj2WF828+uqrHc+rLM7GD+9bhxuXFTsew4MN3k2kTOt44FaFhn+26O+zvSpHKjAhYEyUzp2L5Jk2/TgXjQmL+KViFb/MlMDEFcfN27lz50x3IWMgbWHFwZYL2FBRAAA40akHKLoGoiDnXsGXR78K5T824/XKHjwXfhOa37obn4y/DyVL1hjnl+QF8dKpbqiaXS/iY69bjlf/cRtWzLMK+2Qq5NwwIW1hQtrChLSFxGSRjjlEV/XdVvz4IIObaBt9qU33K+tseJ5YuznR1acCk7HFnz+2BX/5+BbbdraSi9MqNJ/rHmDG61aVw1pRQ/+frtwSYnfARuN2nQYnxsTOnTsdK3bo4pdxIWMi6PUgGk/axAApY2LI0Jiwr5KLgipsAGOqyip6PQrWlNtZtG5wmxtOU9JNv2M6cSmVMtgYBh9Uudhzcsfqea6/bTzY+T+RPo4HfKBDVGKXggoQ26ty6P+Lqtq0n2tDUtM1JuypHOJnn09dypRF0iuOMRGJRGa6CxmDK9EWqqrhI79phM9D8O23mpHn0bEkukdV3L9sDpo7BvXAxKlnMPrYv+B33peRHM0HtnwKDx5fj65kDu4d1OlhbKBhXjiIl07r9EA+lWO24UqcG06QtjAhbWFC2kJiskjHHPKPgzFhLxfqvEY1XdTv2fA8pZs1QjEZWzilk4wnlYO/1+NmTDCfCSHwKHpZUH5l3AhMjNkrgHgdgg+RSARexaTjWzUmfBiKmVU5+D7FElqqKoedNj8i1JiwriCz/h3LOpjJleVLmRsTSZ1IJ6jdJuIAs/OTH8dU/2awwr8TYXWMB26MCR5U3NiZMWGvyhEfG0NC9UIh7owJceoS1YMZz0jSjysuMCFxZWPn8S788WA7AOCDtUuNP+Inu4aggaBqjh9/nf0S7j1aDzSeRp5SiJ9mvQfv/siXgUAu8nsO4ZXmLhw4049wyIfKIjO3rSRVU5yQieW1SUhISEhITAWo8+wamOAcbLfVfyl6aWI228KayiFOUeCrtbC57/ycEelKsN9FZQtpe6PxpGvlDbsTJ9bByAl6oWpMWgbXp6Sm0975ah0AMOSiMWGsIAuEMfXtyGjwtTwyZSWcTqGJBPiyGQXQdAcGWZbElDMmuHvgpitC9/HPiKkxIRa/VFUNIMS2zymVg9pTF3RNLwtsIpi9v7KXiEDArt56peJytsW+ll58+FcHEOVqiu99rc/4/MLJbuPz6bPteK/nj7htx1Z8cuQ7UJMJqHf9ALckv4fTy98FBHQGxPyCEC4MxvDS6R5cvTDf8iDPSwUm8oK+Wf0CA1zec2OikLYwIW1hQtpCYrJIxxyiL5tuK3582T03TBdjYjY8T9OVn58OW4T8Yufe51J5I+jCmPBbhALFQQveGbOmclj7Z9GiYK4bCAQsVT/YS9G5PhqnQQZrWkZSVXXGhEVjgopfioMZgJjang6NiUuB29yorZoLAHgDp3HGV7OYKZzsGgIAVBTZxSqd4LOkE3GBril+Ttj3+al20nm2h5uuD52jSVW1bPcYgQl7KofP60FC1VLCstb2HBkTTGlfUQncmUJmzNZpxLZt4vJLVyIuZ1v88xPH8NjBdvzn86ct218504e1C/KRn+VDU8cA0H8G2P5ZbNtxCz7r+xWUuVX42aJv4s34Ftoq7kZfjGD1fLOMZ3mBXqO8tWcEa+Zby3tuXFSI+fkh3HvNgvQPMM24nOfGRCFtYULawoS0hcRkkY455L8ExgQAPP3gTXjxoVvsx6ZeavlV2KnGbHiepmvBIR22cGZMOIvwUUq5fhwv0CcW0wRMB8qJUq5p9n3sfGXn57Zt2xzZGT7DsUparkuvnUhqqZQSO2Ni2NCYEKwgJ/X2CBHbaSZ1GtzmxvKSXLR87Q1Yt7DAst2TIRSPt12zAFcvzMfbNy68pPP5OTgbfjMo+OBdrkslJDpHo3FrYIJOu0RSs+mJVC1bBkAvGWqrrsPYLSQoGzyWUGd0TvO44gITTU1NM92FjMFst8XoWBJffeoYugajlu2xRBJHzw8AAPa1mgyJeFLFobP9WL+wANsKO/D65s8D362BtudhPO+5Bh8MfQPKOx9DZP4WdA/Hcey8LoDJKiaXF5iR3qpSq5BldWkeXnjoFnzmjhVTPtbpxmyfG1MJaQsT0hYmpC0kJot0zCHfOMQvRSyIqtJclOWHbNtZ4bR0YjY8T9OlMZEOWwQFDglgXU3n50U2E5hwqhwA2J0uj8McZM/hnSeLDgTT16amJkfxS6MCSMqBYx1wr0KgarrGBB988CiEEb8cH2PCKZ1kunEpc8OJwTLduKW6BI9+8HrLXJwIeNbBbPjNoOADxXkhZ8YEfU5owI3CSOVI2qva9PZ0244z2vOJn3H67MeSasboSwBXYGCiubl5pruQMZgtthiOJYw/FCx+/Nxp/GjXafzk+dcs2090DhnHn+kZMbYfa+/H5uR+fPDMg/ha999jXWwvsPkDOHTPc3hg8H0oLNLrxdOUjBdP6Q/6kjmmXgRlTABAVenU1CzPRMyWuTEdkLYwIW1hQtpCYrJIxxwaj8bERBzs6WIJzIbnaTbbgnUGWedEUYjhsAY4jYmsgPndRqN3qWDgcRA5dKKU899ZxkRzc7MzYyLlWEVTDhx/XELVkEiqNoc86FUwPGZP5XDTmPB7xekk041LmRt0GG6r9LMBPNNrNvxmUNgrITnfC/ocxjjGBJ37olSO3p4LtuMoWLuxzAi2KodM5ZCQmABqv7kTb3n4Rdv2Px/rBAAcONNv2U7ZErevKkFb3wiSY6PAKz/Hgl/fiv/yfwMFo214YfGDuDb6PYze/I84NKAHGJbl6WTVxXP0708e7kBRth/5WX6j7XnhIFaV5SEc8qGiSApcSkhISEhkDqhmwESqcrhhmkgCswJTLYg3nWAp3LyTRB0Ufl6wxwU8zsKYbMoHYM49G2NinOVH3fQsRIKU1IHj2RRJ1c6YAPQgzUhK/NLqqNFUDntVDm+GVOW4FNCg1D3ry2e4J5MDX3JzNsHGmHDRmKBBv1hCnMqRVO1VOdjvbgFBFj6HgMVMY3aHzyQue3REorgwGMOFwRiaOgZQnUqfGEuoaO7QUy0a2/oRSySNP5SHz0YQ8nlw+0INVzX/Bvj2h4BoLyK+JfhR6GN46KOfRdehTgwePYjzkVE0dQwiL+hF2K9H0FfOy4NCgO6hGK5fWmTpDyEEj//9DRgZS04brVNCQkJCQmI8oKtjbiUCJxKYINDb0bR0q0xkPnjnfDYh5FIFgN5aN6FTn5cLMjDHhjhqPnWMeMq+W/lRr0tKCX2383sVYSDBiTGRVHWNCb5/QZ/HSOVwZUwIVpeB6UvpmSrkBX145QuvQ75L+sBswGwODPJ9d6vKQec/L95PA2LxpGpL12DjCnzczOn33qnk70xjdj1dU4AtW7bMdBcyBrPBFvtae43PB9tMZsTxzkGMJVW8Yc08jCVVQw9CVTWcO7Ib/5X3I7xp5zZ8yFOP/uJ1GLu/HltH/hmJVW8BPD6U5ukpGecjUTR3DKK6NA+1tbo9sgNeVKbKfa6cZ9WRAPTgBFvC6HLEbJgb0wVpCxPSFiakLSQmi3TMIfoCnOVz/huViY7VbHieqHOe7nf4dNiCd85Z0JCTa2CCmzNs0IEPelAnx8Z88IjTSfT2xIGJLVu2GO3w59BAgpPGhBNjIuBThOKXhmaFIJWDHb9bkCfduNS5UZjtz6hV8UsBX11kNvxmUPBsD7eqH0YqB8+YYFI5+Dm9fOlS4zOfluFUTYgNymUSCyjz/jpJSDDY19KHgFdBwKvgaPuAsb3hdA8A4N3XVwIADp+5ABz+HaIP34KfJj6NdbE9GKl5N2rHvo2nV38HTcEajCU1XJ1SKy7L13Uk2vtH0dw5iOWcXkTtcr3sEg1QSEhISEhIZDqoA+XmPE1XCdDLDfQF/83rZh8l3k1wkLJh3OaFm5AlvxpsalY4p2S4VQBxEtrkHSyvSyCBakwkVZHGhAfDY0njOKM9JucesK48s4GJrEsUb5SYHGZzYGUiwqPU79i4qNCy3ajKIUjlcGM/ODEmCDH1ZWRgYgaxa9eume5CxmA22GJfay/WLSzAVfPDBisCAJ4/0Y2lc3OwrljDR/yPoW7n64HfvweJoW58Mf5OdD7QiNCd/4oOZR5ae4dx6GwEALCmXC/xWZIXBCHA/tY+DEYTqCrNs9jjU9uq8Pk3rMDdV8+f3gFnCGbD3JguSFuYkLYwIW0hMVmkYw4ZgQkX58lpBc0N6U7kmA3Pk9ej4MAXXoev/tXqtF4nHbZwC1R5jECC8zFuSv82WrlDewGXwETIIs5pft61a5fxnfed6FynlHfeOVNVDYmkSGNCLMJJ00nGUlUKiEDPAphZxsRseE6mGg/fvx53rC61bZ9NthAFJr75lrX4xXs22rYvKs7GCw/dgg9sWWLZrjBVOfhn7tTJE7bjKNxS9+i8ziQS3eXNR5eYNRiMxnFhMGYITwJ6NY5j5wfxwdol6IhEseu4qTo7evYw/iX8DMh3/oyPKlEc9a7Dynu+jy/sn4OGRB++VDIHhBCUF4bQ2j2C/uE4CrJ8RlWNoM+DeXlBPP1qBwCgujQX7Z1mf4I+Dx64cfH0DF5CQkJCQmIKQF9C3V5GJ7LyuL6yAAsKQ/jobcsn3bfLAQXZ/osflIFgnXEe2X4vovGxCWmPuAUxDMaEz5kxwZ8f8jsHLczvHDMj5VRFUwwHLxdkSKRSOfg0FDawYCkDymhMuFU2mMnAxJWIbVeVYttV9sBEOvDsJ2qNNJ+pBF9SF3AXI50vKN1MAw6qZk8nY7/z+1xTtBQFUagZxZiQgQmJGYemabjpX59F30gcp/7lDuMPQmNbP5KqhvUVBThyLoKewRHEjjwGsvfHeER9HolIAKi5F1/ouAH7R+fhyaobse/RZ7ChotCIJlYWZaO1dwSapmF1eb4lylhZnI0XT+kpIcvn5qJ9+ocuISEhISExZaC0ejfxy4kgL+jD85+6ZUrakpg5UEaCyP/ICnjQMzyxFB+3Y6mTM5FUjhCTymHThLiIeF9MwJhQiCl+aWNMMEERNmbhY1I5bAwRpg9uwoUSsxuL0pS+PRW/x26VN9gnxB5Uc2FLeWQqx4yjqqpqpruQMcgUW5zuHkbfSByALmpJsa+lD4QA64vjuK37F3gu8CACv3sHtO4T+Hr8Xux/8wvAXf8OUrISZ/tGcD4yinP9o1hfUWC0sbAwC8c7B3G8cxBrU2kcFLTc57xwEOEsX0JJD0EAACAASURBVMbYIxMgbWFC2sKEtIUJaQuJySIdc4iuDvNCcQDwo3esx9s2LJjya04F5PNkIh22oIEJEaWcCqVOjDFxcXq4WypHgGcxOKQeVVVVGec5pXLEEuLUC138UqAx4WMDEwLGRFK1CQiybYdchGXTDfmcmJhNtpiKqhcKF3hjUVY2T3gccJFUDuXi5aWnG1ccY6K6unqmu5AxmG5bjIwl8MjLbXj7poWWP1hn+0aNz/tb+7BiXh6gaRg4/hx+mvN/yP3BS6hW49itrkLnDV/GTqzDj3a24L2VFQCA8oIQBqIJPNukp3psqDQDExVFWUiqenbs6vnWwMSqMr3iRjyp75dzw4S0hQlpCxPSFiakLSQmi3TMIfqCyZd3BIDbV5Xi9lXTQ4meKOTzZCIdtggYgQm7k5IV0PeJ0jNefOgWXBiMObYnAnX2ncp+6ufz4pfi9qqrq9HceE64jwYcovGkbVy0XKhIY4K9ts9SySOlMSFI5WAxk6kc8jkxMZtsMRWVkNhgBM/oWVA+H0CX7TjAPTDhMzQmMicwccUxJrZv3z7TXcgYTLctHj1wDl/641H88+PHLNvb+83AxJHXzgEv/wTaf1yHL3R9DJuTrwDXPIDBB17C/fHP4eXgdXj88AVsWlRk5HqWF2QBAOobzyHk8+iBjRQqi0xa1pryfMt137KhHBsrC/HgbcsAyLnBQtrChLSFCWkLE9IWEpNFOuYQDbSLHNBMhnyeTKTDFtl+DzwKweffuMK2jwYFVM0ucVqWH8LaBfm27W6MCerr8w4RGwTgBVid2tu+fbspfsntszAmuNM9hCChqkiomo1GzzIm2H6wVTnc/LSZTOWQz4mJ2WSLqfD73XQkDh88aHy2lQsdB7spgzI5rjzGRCxmj/xeqUiHLY6dH8BTh8/j/msrMDc3aNnX3KGnaTx34oJl+7m+UVQp5/Cp4t3Y3LwDaB5FtGgVvhT/W9zwpvfhzmuWIRdAQdZZ/PeLLWiPRPHBm82avVTQcs9rvdi8uNASmVzDpG+U5AUs1w14PXjk/dca3+XcMCFtYULawoS0hQlpC4nJIh1zKJ7UhQD5Eo6ZDvk8mUiHLbweBaf+5Q7hPlqqcyRVQnNc7bl4Wl4HxgS7yss7S/wKMEUsFkOeT5zKQZ2qmANjQtX0Cgb8PlZjwssGJljxS5fnx63iTbohnxMTs8kWTvN7ImCZEHzwIZmIA9DnJZ/K4V4GWBG2N5OYXSF1iYzHj3adwr8/cxIff+SgbR8t2XmmdwRDsQSQjEN79f9w+74H8LT/k6gdfBJPJ9dj8P6n8Nv1v8RvkjejZolZrrOiKBvtkSjCIR/qasqM7ZQxAQAbKqx1f4tyAtj96Zux/cEbp+SHQUJCQkJCIlORMAIT8vVOYnx44xo9P33JnPEL/7m9T9E4gFu6h1tVD9uxDnOZBhJigtQLS5DBpVwoG8DzsO25jE+KX0qMF1MppsnOY1uJXuYrH/Sjz8LykhzwoPsyKZXjimNMhMPhix90hWAytvj13jMYiiVsJTWPtA8AAJ4/0Y2OSBSlYZ01ca5/FAfP9uOq+Xnobz+FgSe+iJzTvwMZ6kCBVow/zf8AfBveiY89chqP+ldg/5kWlOQFDDYEoD/gjW39qC7Ntbx0FWT5jM/rGX0JCjZw4QY5N0xIW5iQtjAhbWFC2kJiskjHHDJSOWZZYEI+Tyam2xZ1NfNx64oS5ASmxiWgQQe3ldrxCm2Gw2GbHgUFXe2NxpO2IIjCCFm6iV+y75L081hSdS2pO5MaE/I5MTEbbPH7D1yHc4yO3mTAxiL46ZmbkwVAZ5D4ObYPIQSPvO9aLJ0rCEx4FOOYTMEVF5iora2d6S5kDC7VFklVw0N/OAwAePvGhcgOUBpgAqcuDOHaxUV46XQPmjsHjcDEbxtO43ZlL77q34+wfzfIIQBLb8Mvkh/F108txP5334623hEAp9HSM4zD5yJYw5X3fMe1FXj0wDncumKupT+EEHzxzpXY19qHzYuKLmlMgJwbLKQtTEhbmJC2MCFtITFZpGMO0VQON6p9JkI+TyZmwhaXEpT4/BtWYFWZ3TnMC+mLRVMRmKitrcWRczrblnAqE0YqR0JFFtd/Ov/jSc2WlsH2iw1MWMuNOvcpawarcsjnxMRssEVhth+FKT28yYJN5eAFLmvWrgX27wUgZsttXFRo26YfSxkTU9LFKUEGdWV60NjYONNdyBhcqi0a2/qNz39p6rJs1zRdVBIAjncMAj2nkHj6H3B/wx142PdvyB86he8l78bPNjwG7b7f4uHzy3Hd0rkIeD1YUJgFhQBHzg3gte5hXMX9wVu3sAAvPnQL3n39Iluf3nX9Ivzg/62bVCRbzg0T0hYmpC1MSFuYkLaQmCzSMYdurtYD91uWz5nyttMJ+TyZmC22eODGxbh2iX0xKMelygeFW9CCRWNjo2MQgzpgCVWzBeLYIANfOpdtjz2ObUOUykEru80kY2K2zI3pwJVmC3au8qkXLadPGZ8nksZH25EaEzOI1tbWme5CxuBSbfFyS6/x+bnjppDl3td6QQhw2/J8/L+sl1G75z3A99ZBafg+DiSX4NjN/wny0SP4Zeg+NEfzcbJrCOf6R40XqYDXg/KCLDx5+Dw0DVhdnme7dll+KG0UVTk3TEhbmJC2MCFtYULaQmKySMccuqayEC1fe4OwkkImQz5PJma7LSj7Iimo8kEhCjY89Ppq/MMbV1q2tba2GkEM3neyMhycAxO8E+cU6GDfLUWpHP/97o345QObxs32SAdm+9yYSlxptnDTkeju6jQ+TyQwQYN2mZT6d8WlckiMH7FEEofPRrC+osCSUrGvpQ+LirOxYl4uXjrVY2w/e7wR3wo/gbwf/B3+Re1F1+hc4ObP44uta/Gnsx68dNMtACEoyw+hPTKKl07r5964rNhoo7I42wh28IwJCQkJCQkJCQmJzEVOQE/lGIomHI/hy4UCwPu3LBEeSwMLtnKhDBOCLwnqdWBCAM6Om9cl0AHotPzrlxbbtktITAcsVW24Ocx+9XvHz36gz00mVXHKnBCJRMbh2zuO456HX8JPdr9m2X7obD+uXpCPJXNy0D8Qgdr4K6g/2YZvdv0t6qJ/BCpvwH9WfBNvID8AtnwSuzp8qFlg6kWU5Qdxrn8UR9sHUJjtx/x8U+BycUrBtjgngLl51nKjEhISEhIS0wVCyCcIIRohRHojEhLjRE5QX/McijkHJpwELScCr6CihvmdSddw0ZiwnuMczJCQmGl4XMrtso/TRBgTlCmRSVWcMqcn04StW7fOdBcyBlu3bsX5yChu+tdnsb+117JPVTU8sq8NAPDUkQ5je9/wGLoGo9gSOoW6M19Fg+8DUP7v/Rjrb8fX4vdi1xt3AW/7BcYW3YwLw3G09Y7gTO8IahaatNKycAjt/aN4tX0AK+flWaKAVCxz8RSW2Bkv5NwwIW1hQtrChLSFCWmLyxuEkAUAXgfgTLquIeeQCWkLE7PdFqWpRSWRFgN1+AOe8ek0bN26FWXhEO7btBA/+ZtrrG15nAMJrJ/F7xOxNfjjeAZGpmC2z42pxJVmC8UlMHHTDdcbnycUmFAoYyJzwgGZ05NpQiQSmekuZAwikQh+2XAGZ3pH8P89Z2VFnO4eRt9IHCGfB03nB6CqGhA5i8E/fQ3P+D+OulfejcqOp7E9eQ1O3vEb/Gzd7/Fw8i6srV4OAFhUpAcW6hvPAQBqmHzXsvwQonEVh89FsLLMqiNxc9VcrJyXh6+9eXU6hy6EnBsmpC1MSFuYkLYwIW1x2eM7AD4FwDlRfpKQc8iEtIWJ2W6L119Vin9+01X4yK3LbPvm5AYAjN/xj0QiUBSCr9y9GivmWd8XvQwrwq4xYe7jAxFOGhGEEIM14VUy0z2a7XNjKnGl2YKd4nwgYWx02HGfG7zGfM+cQFxmPnlpxJ49e2a6CzOCHzx7Eo8fards27Nnj6Hz0NIzbNl36KxeeeP+DXNxa+J5xH52F/Cdq7Cw8Vu4QAow9Pp/x/H79+OTiffjVHYN9rb0YencHBTl6H90KlOMh0cPnINCTDVjQA9MUKzk/tBUlebiyY/ciMVz7PV2040rdW6IIG1hQtrChLSFCWmLyxeEkLsAnNM07WA6ryPnkAlpCxOz3RaKQnD/5goEfXZWxK/fuxlfvHOlUWb+YnCzhUchhrPmpjER4PrhJl7pUTIv557FbJ8bU4krzRZsqhE/h48cNCuUODGCRKBBDN8MCrrykOKXVwAaTvfgG083AwCuXlhgaDpoGnC8cxAAcKJrCPGkqk9STUPn0d34euC3ePORPfD6BxHtnY/EDZ/A7c/Oxw0br8GmTVdhzmAMANARieJI+wBuWmaWJ6tMMSZOXRhGdWmu5Y8QqynBMyYkJCQkJCTSDULInwGUCnZ9DsBnAVyUJ0wIeS+A9wJAWVkZ6uvrjX1btmwBAOzatcvYVlVVherqamzfvh2xmP73c+fOnaitrUVjY6NFZX7r1q2IRCKWl++1a9eisrLScp2SkhJs3rwZDQ0N6Ow0ldnr6urQ0tKCgwfN2MqmTZsQDoexY8cOY1tFRQVqamqwc+dOYwUyEAhg27ZtaGpqQnNz84THFA6HJzwmAMa4LpcxXep9AoDR0dHLakz0PjXu/jMKAdTXHxr3mOrr6x3H5FMUjCVVDEYiqK+vN8bUdsYcz6uHGjG6eo4xppP/f3t3Hh91de9//PVJCAkBEnYIWwLIIqAEjSKKghtirWJtaa212ta22uXWa++1lS5XW1tbbfW2t/5srd3svXVrtQWtIkgFRWWXXRDEsIawJkASsp7fH/OdnJlskI1MMu/n45EHw/nOd/L9vnOSnDk5y1GIfPsTeU8JQXlxcVFUeazUvcjrjbefETXvCehw99TQ12nx8rWE621ZSVHUz4jIfoWVK5bybumxU7qnfXl7gAT27d3D5s2prXpPp8pcA9v5xLqcnBy3cuXKRp0zZ84cZs6c2UpXFJsemreZxxaF9rh99KaJfPTsgQA8+dwc7l3diQmD01m7u5A37xjFkN3/xK15Cju4hTJLpmLMtdy2djQfvW4WYwf24GOPvc1vbj6HGeMzqKpynHXfq1x2Zn9eXLuX711zJl+8eHj158350QIOHi/jcxdmcd9146rLDxeVcc79CwDY9uOrY2abmnisG/VRFp6y8JSF1x6yMLNVzrmctr6O9sTMzgIWAsVB0WBgL3C+c25ffeepPdI8ysJTFt7Jshj7X/MoLqvknKE9eOGrfp79y+vz+OpfVgPw68+cw9VnZVQfe3fnET722NsA5P70mqjXO/u+Vzl6ooLzh/Xiudsnt+SttAjVDS/esth/9ATnP7AQgO9+5Ey+dIl/v/XcC3P41vJQp8XK711Bn2D0+sl887k1vLB6D7POHczPZk1o+YuOcKrtkbgbMTFhQusGH4s27ztGVu9UdhwuZmv+cX+gzzC6s4U7e28hOf9vDP7TJsBR1C+HH5Z/iQs+ehszJ41hxdpXmFhQSnllaHpHeH/0hARj9IDuvLg2NEWk5vy/MQPSWLLtIFNqbK/Uq2tnfvaJszl/WK+Y6ZSA+Kwb9VEWnrLwlIWnLDom59x6oF/4/2aWC+Q45w629OdSHfKUhacsvJNlUd+aEIlRUzlObY0JiNylIDancqhuePGWRUIDUznOmXA2LN8ENG6NifCWu7H0XizuOibCQwZj3YcHi8hIT6k1R885x9rdhUwYnB61mwVAWUUVZrUr5ea8o5w3rBcO2Lr/GFSUUfzeq2S98zgrUpaRsqWMD60/a4bfzsRrvsx9/zrOK/vyuPeckSQmGBk9Uth9pITCknLSuyRVr7gMMCYjjdU7Qx0WNdeLeOKWHD48WMSZGd1r3d+snCHNiadVtJe6cTooC09ZeMrCUxbSXKpDnrLwlIV3sizC7d2aa1VGbq2Y0qnGGhMNvAnrFOOLX6puePGWRUO7cowYngWEOiYas8ZEeG2WzjHUEReb33mtKHLuS6w6dqKcS3++iH9/Zk2tYy+uy+P6//cWv18SvYtGQXEZ5/34NS556HX2FZ6oLs8rLGFv4QnOGpjG9O47uHrHz+Dh0aQ+fzPjytayZ9gncLe9xrX2P/wj/bMc6zqUf67L47rsgdXrQgzq0YU9BSXkHioiq0/XqA6Rc4f2rH7cs2vnqGvq0jmRsQPTanWgxKr2UDdOF2XhKQtPWXjKIj4457JaY7QEqA5FUhaesvBOlkX19qM1Oh8SE5s4YiLGF79U3fDiLYvIjTNqdj7MnTu3+nFj6m64Yy+WRkzEzpVItRW5hwGYt7H2dNZ/BjtrPLtiV1T5ut2FFJaUk1d4gkdf31pdvubdFdzV6a/csvJ6vrvvTq4oWwgjLuNPw37GpRW/Yvgtj2FDziOrT1c+PFTMitzDlJRXct2EQdWvMbhnKruPFJN7sJhhvVOjPu+M8aG1wyJ33RARERERaU3hTobUztEdE1G7ctQcMdHQrhzBm7rEGNo+UQQansoRqTF113fExU53QKtN5TCzFOANIDn4PH9zzt1rZj8DrgXKgA+AzzvnCoJzZgO3AZXAN5xzr7bW9cWCwpJyyiurai1Ssmz74erH+4+eoF8wdeLYiXIWbTkAwM7DxVRVueqKunHvUQAuHtmHVes2UNX3dRI2vsDVe99leicjoc80Fg36Il97dxBvXzOTuX9cTr/UI9WjGbJ6d2X9nkLeywut5DpukJ+WMahHF/KPhlZondVncNS1dk3uxKv/fgl9ukWPlhARERERaS3hDokuNaY9R03lqLldaANvwmJxzr0INDyVI1JjRqmHO+JiaYRQa37nlQKXOecmANnADDO7AFgAjHfOnQ28D8wGMLOxwI3AOGAG8JiZ1d4EuZnCW8ycLpVVjr0FJbXKq6oclz+8mJwfvUZRaUXUsa37/QKVOw8XVz9+7b18SiuquOGcQZRWVJF31E/Z2L59G3d2W8gjx77FK1V3kLDg++Acv0m5jbsGPY3d8g9Kxn6SIrqw63AxW/YdY2Rfv23nsD5d2X2khA17ChnUowtpKUnVxwb39M8bN7D2yIjRA7rT+xRXgI1lp7tuxDJl4SkLT1l4ykKaS3XIUxaesvBOlkVq59DfV7vUGDERtfhlp1OfyhE+LylGR0yobnjxlkXUVI4adbipWYQ78GJpxESrXYkLCb/DTgo+nHNuvnMu/E58KaGtuABmAs8450qdcx8C24DzW/q6LrjggpZ+yQb9etE2Lvzpv9gV0cEA8M72Qxw8HhqFMDfY1SJs+4HjjBkQWjAysmPipbV5ZKSn8PFzQpHt2b0DVvyO0t/N4MEdn+Kuit+T4kp4qPyTbJq1mGO3vsaDhZczfNgIIDQlA2Dp9kMUlVUyLXtk9Wtn9u5KZZXjtffyay1WOSiiYyI72JGjIzrddSOWKQtPWXjKwlMW0lyqQ56y8JSFd7IswiMmak3lSGxgxMQpdEzE6ogJ1Q0v3rKIHDGRXKN+NjULF/wbS1OXWvU7z8wSzWwNsB9Y4JxbVuMpXwBeCR4PAiIXTtgdlLWopUuXtvRLcuxEOTMfXcLbH9ReH+vVjfkAvLH1QFT5G1sP0CnB6JKUyMrcI9XlpRWV7DpSwtRRfTHzHROFxeW8sfUAHz8zlXH7/sH/Jj1AzvMXwj//g9KCfH5ZcQMffmoRubMW8Fjl9exiAOt3F+Kc70wIj3xYsCl0TRWHdlR/3mF9Qp0W5ZWOMQOid9cYm5FG/7Rkxg9Ko2/39j8yoj6tUTfaK2XhKQtPWXjKQppLdchTFp6y8E6WRXgKR62pHBG7aqTUXPyyoakc4cUAY+iNWiTVDS/esojsmEiq0bnW1Cxc0DMRS3sUtOp2oc65SiDbzHoAfzez8c65DQBm9l2gAvhL8PS6YnE1C8zsy8CXAQYOHBi1KuvUqVMBWLx4cXXZ6NGjGTNmDPPmzaO0NDRCYdGiRUybNo01a9awY4d/cz59+nQKCwtZtsz3n0yYMIGsrKyoz9O/f38uuOACli5dSn5+PhuPGGt3J3LTE8tYdMc41q5dW/3co8XdAPjr4nV02xfaZSMzM5OlHxxneLrRmXLe3LSLefPymDFjBvOWrqeyylGat5X0pAS27SugIH8nC555lMcTljF1zXoSqWRIwgBeTrmW1MzzeGLPUNYlJHLn6GwWLVsNwGtLllNSCZBIRnIZc+bMwTlITkhk2YehNSw6lxyuvq8uPfpWX/Px3VuYM2czADNnzqRg/17uGVuEUcScOXOYNGkS6enpzJ8/v/qczMxMsrOzWbRoEYWFhQAkJyczY8YMNm/ezJYtWxr9dUpPT2/Rr1PYzJkzyc3Njfo6TZo0ifz8/KjzO8I9NefrVFBQ0OHuqSlfp8h60VHuqalfp/z8/A53T835Oq1Zsyam70liW2Sdi3fKwlMW3smyCK+z1qVz9NuZyDUmai5+2dAcfD9iIobeqUVQ3fDiLYuGduUIZdH4t/QueJttdb4FbxvmXK33/q3ziczuBYqccz83s1uBO4DLnXPFwfHZAM65nwT/fxW4zzn3Tn2vmZOT41auXNmo65gzZw4zZ85s4l3U7eH5W/jVv7YBsP6+6XQP1mc4UlTGxPsXAJDZO5XFd18KQHllFeP+61U+f1EWCQnGE29s5/0fXU1CgvHov7by8/nvs+qb2fz1/x5n0om3mFixFqrK2UtfMi68CRt/A1c9U8iQ3qk8cUsOUx58nTMz0vjdrTlUVjlGfvdlvnbpGSzdfogjxeW89s2p1dd61X+/wZb8Y2Skp3DP2OPVWTjnGDb7ZQDe/NalDOkVvftGPGiNutFeKQtPWXjKwmsPWZjZKudcTltfRzyIlfZIe6UsPGXhnSyLL/95JfM35fOD68Zx64VZ1eWb9h7lI//zJgAf/uQjtTojsu75JwC5P70mqnzWb95mRe4RPndhFvddN66F7qLlqG548ZZF5Pu0V+68mDMz/Oj2OXPmcOc7oY6JmnW6IT955T0eX7yde64ewx1TR7TsBddwqu2R1tyVoy9Q7pwrMLMuwBXAg2Y2A/g2MDXcKRGYCzxlZo8AA4GRwPLWur6WtG53YfXjDw4UVU+dCI9MmDqqL4vfP8CxE+V0T0nigwPHKausYuzANAqKy6mochwsKiW5eB9Fbz7GS2kr6f3rDdzhqthNf7jwK9y9MZM9Xcfx1PTJAGT1Xcm2/cfZuPcoewpKuPPy0HoRiQlGn27JLNt+mBW5R5h99Zioax3Sqwtb8o+R2TsV8Itsmhn/d9skUpIS4rJTQkRERETan5pTOfqn+WnH9Y2QmDy8d62y8HoUsbRLgQhE1+OG1klplPBUjpZ5tRbRmmtMZACvm9k6YAWhNSZeAh4FugMLzGyNmf0GwDm3EXgO2ATMA74WTAVpUc3pXXt6+U6eWrazVvm2/ceZMDi0W8XW/GPV5Uu3HyIlKYFPnz8EgPfzQx0By4MOi3ED0xmWkM/tiS/S7c8zSP/1BL7t/sCI1BNwyd38Jfspppx4hOJp9zL30CDOjNgRI7N3V3YdKeGtbaF1LS4d06/62JkZaSzPDX2OySOif/CO6h9a2DK1c6daWUwZ2YecrF5NSKZjiKee15NRFp6y8JSFpyykuVSHPGXhKQvvVLOouSvHyXaKW3/fdJ78Qu319cPTPiLXqIglqhtePGdRcypHU7M4PXMmGqc1d+VY55yb6Jw72zk33jn3w6D8DOfcEOdcdvBxR8Q5P3bOjXDOjXbOvVL/qzddbm5uk847cKyU2S+s5zt/X8+7O/1ilUWlFewpKOHSMf1ITDByDxVVH1u6/RDnZvbkjH6hzoBdh4vBOVYsW8L9PV5ixPPTuWTedGYnPU15RTkLB97B1ZWP0OnflsGl3yE1cwJgvPH+QUorqqKG7QxMT6GsooqF7+1naK/UqEUpz83sWf14WJ+uUffxiXNDO3qM7NetyVl0VMrDUxaesvCUhacspLlUhzxl4SkL72RZhP+I3NhdBbqnJNX5V+dwB0esjphQ3fDiOYuuydETHnJzc1n+nct581uXNup1wss5xNLil7HZJdiKIhczq6mqyvGDFzfywxc31To2b0Ne9eOt+/0UiC3BCIkxA7rTr3sy+UdDC5gdPF7K5n3HmDy8N4PTOjE5YSOZK39E5S+z+VXB17j5xNNYchpHp/6Qi078krmTnuJX5dfRffDY6lWBhwZTKuZv2gcQtY3nwB6hHTaW5x5m4tDoLTwjR0mE17sIG963GwvuuoS7rhzVYBbxSHl4ysJTFp6y8JSFNJfqkKcsPGXhnSyL8KJ9dS2X9/xXJvOLT2U36vN1rt6VIzbfHqluePGcRa+unaP+v3btWvqlpTR5Kn4sLX7ZqrtytDfbDx7nj2/lAvDFi4dVv/kHWLXjCL27dqagpJydh/zSGHPX7KVzYgLnD+tNv7QU8o+eAOCNddv4aMI73Lz3OVJ+8TpPdy6kfG9nDvWfzC/KL+fGz97O2WNG07XKcWDhPD7Yf5xNeUf5XMTiPUN6Bh0TG/NJSjRG9qvdMQFw8Ui/owZATjBiYlDEcyKN7N+9znIRERERkfbu3MxenJvZuHM6xfiuHCItKe62C21vdkR0OCzZepBPnhdaG6K4rIIl2w5xXlYvNuUdZcfh0PNOlFfy93f3cNX4AfTq2plxXQ4zeP9iePLHXPfhEm7oXInb2wfGfJSHPhzGhpRzGTqgL3P27uEHI/1ilWMz0nh+1W7KKqoYP8ivI9G3ezLJnRI4XlrB2Iy0qGFng3v6TodLRvWJug8z493vX9nyAYmIiIiIxIDxg9KYt3EfA9JTWuT1wh0SnRo5NUTkdPjpDWcxYUiPkz/xFMXiGhNx1zExadKkeo/tDDocEgze3OY7Jh5fvJ2Dx0u5fuJAisoq2BmsI7FwUx7DT2zi20n74LGv8sD+0BSQqqOj+EPVNSSOuYbbbpwFCYns1aMyJgAADtVJREFUe3YN27YfYsfxg0we0bt6ugbAhMHprNlVAMDZER0TZsbgnl344EBRreka6V2S+M/poxgzII1+3Wv/QO5ZY5hPY7OIR8rDUxaesvCUhacspLlUhzxl4SkL72RZfGXaGUwZ2bd6N7zmCrfNG7tmxemiuuHFYxY3nj+0zvKmZlHXFKi2FpuTqFpRenp6vcd2Hi4mtXMiM7MH8da2g1RVhb5ib249QPaQHswYn8GYtFLGHZwHf7uNaXMv5O/J9zJo428htTdLht/FtNKHef2Kl3ig7EZGnHsZJIQW0hncK5W9hSfYcaiYKWdEj3A4J2KxytA2nt7EoT2j/g0zM75+2UiuGNu/VbKIR8rDUxaesvCUhacspLlUhzxl4SkL72RZJCZYi3VKhF8PYvMNG6huRFIWXnOzqG9L3bYQdx0T8+fPr/fYrsPFDO2VypQz+nC4qIxNeUc5XlIKe1Zxd/IL8NtL+c7G63iAX1G1fRGLqrL5U8b3sbu3wede4uBZXyLXZfDqxtBilWcP9j8sh0YsSDKlxpoQF0V0VNSsHD+54SyeuCWH67MHNuu+69JQFvFIeXjKwlMWnrLwlIU0l+qQpyw8ZeGd7izCUznKq6pO6+c9VaobnrLwmprFF6Zkcdag9FZ5j9lUcTeVoyEPz8rmSHEZqZUFzExYQue5/0vnI0t5IekIbrfB4Bw+GPd17lrdn5uuvpbZf9/IwzkTILUXQPVqqC+v38egHl2iVk0dErEmxIi+0Vt49umWzOcvyqo1KgJCw8qubMaoCBERERERaVhSsBtHRWWMDpkQaUGDe6by4r9NaevLiKKOiQjpG/5E+tpnYM8qftnZcexAOlt6TuaP+WfwwN13kpLej8p9x1i/6g3+vHQXAJeM8qMfwtMwjpdWcGHElp0AYwemcX5WL/7zqtF1Dpm599pxrXhnIiIiIiJSn/CIiYoqdUyItIW465jIzGxg76D8jYCDafdw/5ZBLC0ZQnpKCkUDKkhJ7wfAGf260S25E+/lHaV/WjJ9uydXn947YoRE5O4aAN1Tknjujsktei/N1WAWcUh5eMrCUxaesvCUhTSX6pCnLDxl4Z3uLMK7cVRUxuZUDtUNT1l4HSmLuOuYyM7Orv/gNY9AMIyr8uhGclfuosvxCqaN9qMiEhOMnKyeLNpygBF9u0WdHt5FY/eREsYNTGuV629JDWYRh5SHpyw8ZeEpC09ZSHOpDnnKwlMW3unOIjH8HiBGR0yobnjKwutIWcTd4peLFi2q/2CCjyOzdypFZZUcPF7K6P7do5521bgBAJRW1O5Rffb2yXz2gkwm15jKEYsazCIOKQ9PWXjKwlMWnrKQ5lId8pSFpyy8051FUnjxyxhdY0J1w1MWXkfKIu46JgoLC0/peWdmhEY8pHdJ4sIzojsZPjZxEJOG9eIbl4+sdd6gHl24//rxpHaO/cEop5pFvFAenrLwlIWnLDxlIc2lOuQpC09ZeKc7i/DWo+dl1V6MPhaobnjKwutIWcT+u+c2MmlYL5Z8+1IGpKXQKTG6/yYlKZFnb4+t9SJERERERKRpcrJ6sfr7V0btqicip0/cdUwkJyef/EmE14tIbeWraVunmkW8UB6esvCUhacsPGUhzaU65CkLT1l4bZFFLHdKqG54ysLrSFmYc7E5j+pU5OTkuJUrV7b1ZYiIiMQcM1vlnMtp6+uIB2qPiIiI1O1U2yNxt8bE5s2b2/oSYoayiKY8PGXhKQtPWXjKQppLdchTFp6y8JRFNOXhKQuvI2URdx0TW7ZsaetLiBnKIpry8JSFpyw8ZeEpC2ku1SFPWXjKwlMW0ZSHpyy8jpRF3HVMiIiIiIiIiEjsUMeEiIiIiIiIiLSZuFv8sqCggB49erTSFbUvyiKa8vCUhacsPGXhtYcstPjl6aP2SPMoC09ZeMoimvLwlIXXHrLQ4pciIiIiIiIiEvPirmNi8eLFbX0JMUNZRFMenrLwlIWnLDxlIc2lOuQpC09ZeMoimvLwlIXXkbKIu44JEREREREREYkd6pgQERERERERkTbTrhe/NLMDwI5GntYHONgKl9MeKYtoysNTFp6y8JSF1x6yyHTO9W3ri4gHao80m7LwlIWnLKIpD09ZeO0hi1Nqj7TrjommMLOVWqU8RFlEUx6esvCUhacsPGUhzaU65CkLT1l4yiKa8vCUhdeRstBUDhERERERERFpM+qYEBEREREREZE2E48dE79t6wuIIcoimvLwlIWnLDxl4SkLaS7VIU9ZeMrCUxbRlIenLLwOk0XcrTEhIiIiIiIiIrEjHkdMiIiIiIiIiEiM6BAdE2b2BzPbb2YbIsommNk7ZrbezF40s7SgPMvMSsxsTfDxm6C8e0TZGjM7aGa/aKt7aqrGZBEcOzs4tjE4nhKPWZjZZ2rcc5WZZcdpFklm9mRQ/p6ZzQ7K4zGLzmb2x6B8rZlNC8o7ShZDzOz14Ou80czuDMp7mdkCM9sa/Nsz4pzZZrbNzLaY2VVBWbvPo7FZmFnv4PnHzezRiNdp91lI0zXy54vaI2qPqD2C2iOnmIXaI2qPdPz2iHOu3X8AlwDnABsiylYAU4PHXwDuDx5nRT6vgddcBVzS1vfWyll0AtYBE4L/9wYS4zGLGuedBWyP43pxE/BM8DgVyAWy4jSLrwF/DB73C+45oQNlkQGcEzzuDrwPjAUeAu4Jyu8BHgwejwXWAsnAMOCDjvIzowlZdAWmAHcAjzbwuu0uC300qx6pPdK0LNQeUXukrnqh9ojaI2qPxFF7pEOMmHDOvQEcrlE8GngjeLwA+Pipvp6ZjST0Tf9mi1zgadTILKYD65xza4NzDznnKiNPjKMsIn0aeLpmYRxl4YCuZtYJ6AKUAUcjT4yjLMYCC4Pz9gMFQNRe0e08izzn3Org8THgPWAQMBN4Mnjak8D1weOZhBqJpc65D4FtwPmRr9le82hsFs65IufcEuBEfa/ZXrOQplN7xFN7xFN7xFN7xFN7xFN7xIvn9kiH6JioxwbguuDxLGBIxLFhZvaumS02s4vrOPfTwLMu6F7qAOrLYhTgzOxVM1ttZt+q49x4ySLSp6ijIUD8ZPE3oAjIA3YCP3fO1fzFGS9ZrAVmmlknMxsGnEvtOtMhsjCzLGAisAzo75zLg9AvSEK/zCD0i3FXxGm7g7JI7T6PU8ziVLT7LKRFqD3iqT3iqT3iqT3iqT2i9ki1eGuPdOSOiS8AXzOzVYSGwZQF5XnAUOfcROCbwFMWMccxcCN1/yJor+rLohOhoT+fCf79mJldXuPceMkCADObBBQ75zbUcW68ZHE+UAkMJDQ87j/MbHiNc+Mliz8Q+mW3EvgF8DZQUePcdp+FmXUDngf+3Tl3tKGn1lFW85dcu86jEVmcinadhbQYtUc8tUc8tUc8tUc8tUfUHgHisz3Sqa0voLU45zYTGhqImY0CrgnKS4HS4PEqM/uAUE/9yuC5E4BOzrlVbXHdraG+LAj9gFvsnDsYHHuZ0Fy3hcH/4ymLsDq/ceMsi5uAec65cmC/mb1FaLjg9uC5cZOFc64CuCv8PDN7G9ga8f92n4WZJRH6xfcX59wLQXG+mWU45/LMLAPYH5TvJvovNIOBvRGv1a7zaGQWJ3utdp2FtBy1Rzy1Rzy1Rzy1Rzy1R9Qegfhtj3TYERNm1i/4NwH4HhBe7bqvmSUGj4cDIwl+wAXqnM/XntWXBfAqcLaZpQbz96YCmyJOjacswmWzgGfqODWestgJXGYhXYELgM0Rp8ZNFsH3Rtfg8ZVAhXOuw3yPmJkBvwfec849EnFoLnBr8PhWYE5E+Y1mlhwMJR0JLI84r93m0YQsTqbdZiEtS+0RT+0RT+0RT+0RT+0RtUfiuj3iYmAFzuZ+EAo7Dygn1IN2G3AnoVVM3wd+Cljw3I8DGwnN1VoNXFvjtbYDY9r6nk5HFsHzbw7y2AA8FOdZTAOW1vNacZMF0A34a1AvNgF3x3EWWcAWQgsPvQZkdrAsphAa+rgOWBN8fITQivgLCf01ZiHQK+Kc7xJa/XoLcHVHyaOJWeQSWrjseFCXxnaELPTRrHqk9kgTsgier/aIf/401B4BtUfUHlF7JK7aI+HKLiIiIiIiIiJy2nXYqRwiIiIiIiIiEvvUMSEiIiIiIiIibUYdEyIiIiIiIiLSZtQxISIiIiIiIiJtRh0TInJSZnaRmV3c1tchIiIi8UvtEZGOSx0TIoKZVZrZGjPbYGZ/NbPUiGMTgc8DSxs4/3dmNrYRn+9zZvZo865aREREOhK1R0TilzomRASgxDmX7ZwbD5QBd4QPOOfedc590TlXXteJZpYYHN90ui5WREREOiS1R0TilDomRKSmN4EzAMzsZjNbHvz14nEzSwzKj5vZD81sGTDZzBaZWU5w7NNmtj74a8eD4Rc1s8+b2ftmthi4KKK8r5k9b2Yrgo+LEBERkXin9ohIHFHHhIhUM7NOwNXAejM7E/gUcJFzLhuoBD4TPLUrsME5N8k5tyTi/IHAg8BlQDZwnpldb2YZwA8INQCuBCKHWf4S+G/n3HnAx4HfteY9ioiISGxTe0Qk/nRq6wsQkZjQxczWBI/fBH4PfBk4F1hhZgBdgP3BcyqB5+t4nfOARc65AwBm9hfgkuBYZPmzwKig/ApgbPA5ANLMrLtz7lgL3ZuIiIi0D2qPiMQpdUyICARzOiMLLPSb+Unn3Ow6nn/COVdZR7nVURbm6ilPACY750pO7VJFRESkg1J7RCROaSqHiNRnIfAJM+sHYGa9zCzzJOcsA6aaWZ9g/uengcVB+TQz621mScCsiHPmA18P/8fMohokIiIiEtfUHhGJA+qYEJE6Batafw+Yb2brgAVAxknOyQNmA68Da4HVzrk5Qfl9wDvAa8DqiNO+AeSY2Toz20TECtwiIiIS39QeEYkP5lx9o5lERERERERERFqXRkyIiIiIiIiISJtRx4SIiIiIiIiItBl1TIiIiIiIiIhIm1HHhIiIiIiIiIi0GXVMiIiIiIiIiEibUceEiIiIiIiIiLQZdUyIiIiIiIiISJtRx4SIiIiIiIiItJn/DyHL3AzxX00uAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 1296x360 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from scipy.optimize import curve_fit\n",
     "\n",
@@ -1056,155 +286,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 318,
+   "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>index</th>\n",
-       "      <th>Yr</th>\n",
-       "      <th>Mn</th>\n",
-       "      <th>Date 1</th>\n",
-       "      <th>Date 2</th>\n",
-       "      <th>s1</th>\n",
-       "      <th>s2</th>\n",
-       "      <th>s3</th>\n",
-       "      <th>s4</th>\n",
-       "      <th>s5</th>\n",
-       "      <th>s6</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>period</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1958-06-01</th>\n",
-       "      <td>5</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>6</td>\n",
-       "      <td>21351</td>\n",
-       "      <td>1958.4548</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>317.24</td>\n",
-       "      <td>315.14</td>\n",
-       "      <td>317.24</td>\n",
-       "      <td>315.14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1958-10-01</th>\n",
-       "      <td>9</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>10</td>\n",
-       "      <td>21473</td>\n",
-       "      <td>1958.7890</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>312.44</td>\n",
-       "      <td>315.40</td>\n",
-       "      <td>312.44</td>\n",
-       "      <td>315.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-02-01</th>\n",
-       "      <td>73</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>2</td>\n",
-       "      <td>23422</td>\n",
-       "      <td>1964.1257</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>320.01</td>\n",
-       "      <td>319.36</td>\n",
-       "      <td>320.01</td>\n",
-       "      <td>319.36</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-03-01</th>\n",
-       "      <td>74</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>3</td>\n",
-       "      <td>23451</td>\n",
-       "      <td>1964.2049</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>320.74</td>\n",
-       "      <td>319.41</td>\n",
-       "      <td>320.74</td>\n",
-       "      <td>319.41</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-04-01</th>\n",
-       "      <td>75</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>4</td>\n",
-       "      <td>23482</td>\n",
-       "      <td>1964.2896</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>321.83</td>\n",
-       "      <td>319.45</td>\n",
-       "      <td>321.83</td>\n",
-       "      <td>319.45</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            index    Yr  Mn  Date 1     Date 2  s1  s2      s3      s4  \\\n",
-       "period                                                                   \n",
-       "1958-06-01      5  1958   6   21351  1958.4548 NaN NaN  317.24  315.14   \n",
-       "1958-10-01      9  1958  10   21473  1958.7890 NaN NaN  312.44  315.40   \n",
-       "1964-02-01     73  1964   2   23422  1964.1257 NaN NaN  320.01  319.36   \n",
-       "1964-03-01     74  1964   3   23451  1964.2049 NaN NaN  320.74  319.41   \n",
-       "1964-04-01     75  1964   4   23482  1964.2896 NaN NaN  321.83  319.45   \n",
-       "\n",
-       "                s5      s6  \n",
-       "period                      \n",
-       "1958-06-01  317.24  315.14  \n",
-       "1958-10-01  312.44  315.40  \n",
-       "1964-02-01  320.01  319.36  \n",
-       "1964-03-01  320.74  319.41  \n",
-       "1964-04-01  321.83  319.45  "
-      ]
-     },
-     "execution_count": 318,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df = data.reset_index().copy()\n",
     "df['period'] = pd.Series([datetime.date(y,m,1) for y,m in zip(df['Yr'],df['Mn'])])\n",
@@ -1216,155 +300,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 319,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\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>index</th>\n",
-       "      <th>Yr</th>\n",
-       "      <th>Mn</th>\n",
-       "      <th>Date 1</th>\n",
-       "      <th>Date 2</th>\n",
-       "      <th>s1</th>\n",
-       "      <th>s2</th>\n",
-       "      <th>s3</th>\n",
-       "      <th>s4</th>\n",
-       "      <th>s5</th>\n",
-       "      <th>s6</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>period</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2019-09-01</th>\n",
-       "      <td>740</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>9</td>\n",
-       "      <td>43723</td>\n",
-       "      <td>2019.7068</td>\n",
-       "      <td>408.55</td>\n",
-       "      <td>412.06</td>\n",
-       "      <td>408.52</td>\n",
-       "      <td>412.05</td>\n",
-       "      <td>408.55</td>\n",
-       "      <td>412.06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-10-01</th>\n",
-       "      <td>741</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>10</td>\n",
-       "      <td>43753</td>\n",
-       "      <td>2019.7890</td>\n",
-       "      <td>408.43</td>\n",
-       "      <td>412.07</td>\n",
-       "      <td>408.67</td>\n",
-       "      <td>412.29</td>\n",
-       "      <td>408.43</td>\n",
-       "      <td>412.07</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-11-01</th>\n",
-       "      <td>742</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>11</td>\n",
-       "      <td>43784</td>\n",
-       "      <td>2019.8740</td>\n",
-       "      <td>410.28</td>\n",
-       "      <td>412.56</td>\n",
-       "      <td>410.29</td>\n",
-       "      <td>412.54</td>\n",
-       "      <td>410.28</td>\n",
-       "      <td>412.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-12-01</th>\n",
-       "      <td>743</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>12</td>\n",
-       "      <td>43814</td>\n",
-       "      <td>2019.9562</td>\n",
-       "      <td>411.85</td>\n",
-       "      <td>412.78</td>\n",
-       "      <td>411.88</td>\n",
-       "      <td>412.79</td>\n",
-       "      <td>411.85</td>\n",
-       "      <td>412.78</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>744</td>\n",
-       "      <td>2020</td>\n",
-       "      <td>1</td>\n",
-       "      <td>43845</td>\n",
-       "      <td>2020.0410</td>\n",
-       "      <td>413.37</td>\n",
-       "      <td>413.33</td>\n",
-       "      <td>413.11</td>\n",
-       "      <td>413.05</td>\n",
-       "      <td>413.37</td>\n",
-       "      <td>413.33</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            index    Yr  Mn  Date 1     Date 2      s1      s2      s3  \\\n",
-       "period                                                                   \n",
-       "2019-09-01    740  2019   9   43723  2019.7068  408.55  412.06  408.52   \n",
-       "2019-10-01    741  2019  10   43753  2019.7890  408.43  412.07  408.67   \n",
-       "2019-11-01    742  2019  11   43784  2019.8740  410.28  412.56  410.29   \n",
-       "2019-12-01    743  2019  12   43814  2019.9562  411.85  412.78  411.88   \n",
-       "2020-01-01    744  2020   1   43845  2020.0410  413.37  413.33  413.11   \n",
-       "\n",
-       "                s4      s5      s6  \n",
-       "period                              \n",
-       "2019-09-01  412.05  408.55  412.06  \n",
-       "2019-10-01  412.29  408.43  412.07  \n",
-       "2019-11-01  412.54  410.28  412.56  \n",
-       "2019-12-01  412.79  411.85  412.78  \n",
-       "2020-01-01  413.05  413.37  413.33  "
-      ]
-     },
-     "execution_count": 319,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df.tail()"
    ]
@@ -1378,254 +316,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 320,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>index</th>\n",
-       "      <th>Yr</th>\n",
-       "      <th>Mn</th>\n",
-       "      <th>Date 1</th>\n",
-       "      <th>Date 2</th>\n",
-       "      <th>s1</th>\n",
-       "      <th>s2</th>\n",
-       "      <th>s3</th>\n",
-       "      <th>s4</th>\n",
-       "      <th>s5</th>\n",
-       "      <th>s6</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>period</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1958-03-01</th>\n",
-       "      <td>2</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>3</td>\n",
-       "      <td>21259</td>\n",
-       "      <td>1958.2027</td>\n",
-       "      <td>315.700</td>\n",
-       "      <td>314.44</td>\n",
-       "      <td>316.19</td>\n",
-       "      <td>314.91</td>\n",
-       "      <td>315.70</td>\n",
-       "      <td>314.44</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1958-04-01</th>\n",
-       "      <td>3</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>4</td>\n",
-       "      <td>21290</td>\n",
-       "      <td>1958.2877</td>\n",
-       "      <td>317.450</td>\n",
-       "      <td>315.16</td>\n",
-       "      <td>317.30</td>\n",
-       "      <td>314.99</td>\n",
-       "      <td>317.45</td>\n",
-       "      <td>315.16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1958-05-01</th>\n",
-       "      <td>4</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>5</td>\n",
-       "      <td>21320</td>\n",
-       "      <td>1958.3699</td>\n",
-       "      <td>317.510</td>\n",
-       "      <td>314.71</td>\n",
-       "      <td>317.86</td>\n",
-       "      <td>315.06</td>\n",
-       "      <td>317.51</td>\n",
-       "      <td>314.71</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1958-06-01</th>\n",
-       "      <td>5</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>6</td>\n",
-       "      <td>21351</td>\n",
-       "      <td>1958.4548</td>\n",
-       "      <td>316.685</td>\n",
-       "      <td>314.95</td>\n",
-       "      <td>317.24</td>\n",
-       "      <td>315.14</td>\n",
-       "      <td>317.24</td>\n",
-       "      <td>315.14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1958-07-01</th>\n",
-       "      <td>6</td>\n",
-       "      <td>1958</td>\n",
-       "      <td>7</td>\n",
-       "      <td>21381</td>\n",
-       "      <td>1958.5370</td>\n",
-       "      <td>315.860</td>\n",
-       "      <td>315.19</td>\n",
-       "      <td>315.86</td>\n",
-       "      <td>315.22</td>\n",
-       "      <td>315.86</td>\n",
-       "      <td>315.19</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-09-01</th>\n",
-       "      <td>740</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>9</td>\n",
-       "      <td>43723</td>\n",
-       "      <td>2019.7068</td>\n",
-       "      <td>408.550</td>\n",
-       "      <td>412.06</td>\n",
-       "      <td>408.52</td>\n",
-       "      <td>412.05</td>\n",
-       "      <td>408.55</td>\n",
-       "      <td>412.06</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-10-01</th>\n",
-       "      <td>741</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>10</td>\n",
-       "      <td>43753</td>\n",
-       "      <td>2019.7890</td>\n",
-       "      <td>408.430</td>\n",
-       "      <td>412.07</td>\n",
-       "      <td>408.67</td>\n",
-       "      <td>412.29</td>\n",
-       "      <td>408.43</td>\n",
-       "      <td>412.07</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-11-01</th>\n",
-       "      <td>742</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>11</td>\n",
-       "      <td>43784</td>\n",
-       "      <td>2019.8740</td>\n",
-       "      <td>410.280</td>\n",
-       "      <td>412.56</td>\n",
-       "      <td>410.29</td>\n",
-       "      <td>412.54</td>\n",
-       "      <td>410.28</td>\n",
-       "      <td>412.56</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2019-12-01</th>\n",
-       "      <td>743</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>12</td>\n",
-       "      <td>43814</td>\n",
-       "      <td>2019.9562</td>\n",
-       "      <td>411.850</td>\n",
-       "      <td>412.78</td>\n",
-       "      <td>411.88</td>\n",
-       "      <td>412.79</td>\n",
-       "      <td>411.85</td>\n",
-       "      <td>412.78</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-01</th>\n",
-       "      <td>744</td>\n",
-       "      <td>2020</td>\n",
-       "      <td>1</td>\n",
-       "      <td>43845</td>\n",
-       "      <td>2020.0410</td>\n",
-       "      <td>413.370</td>\n",
-       "      <td>413.33</td>\n",
-       "      <td>413.11</td>\n",
-       "      <td>413.05</td>\n",
-       "      <td>413.37</td>\n",
-       "      <td>413.33</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>743 rows × 11 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            index    Yr  Mn  Date 1     Date 2       s1      s2      s3  \\\n",
-       "period                                                                    \n",
-       "1958-03-01      2  1958   3   21259  1958.2027  315.700  314.44  316.19   \n",
-       "1958-04-01      3  1958   4   21290  1958.2877  317.450  315.16  317.30   \n",
-       "1958-05-01      4  1958   5   21320  1958.3699  317.510  314.71  317.86   \n",
-       "1958-06-01      5  1958   6   21351  1958.4548  316.685  314.95  317.24   \n",
-       "1958-07-01      6  1958   7   21381  1958.5370  315.860  315.19  315.86   \n",
-       "...           ...   ...  ..     ...        ...      ...     ...     ...   \n",
-       "2019-09-01    740  2019   9   43723  2019.7068  408.550  412.06  408.52   \n",
-       "2019-10-01    741  2019  10   43753  2019.7890  408.430  412.07  408.67   \n",
-       "2019-11-01    742  2019  11   43784  2019.8740  410.280  412.56  410.29   \n",
-       "2019-12-01    743  2019  12   43814  2019.9562  411.850  412.78  411.88   \n",
-       "2020-01-01    744  2020   1   43845  2020.0410  413.370  413.33  413.11   \n",
-       "\n",
-       "                s4      s5      s6  \n",
-       "period                              \n",
-       "1958-03-01  314.91  315.70  314.44  \n",
-       "1958-04-01  314.99  317.45  315.16  \n",
-       "1958-05-01  315.06  317.51  314.71  \n",
-       "1958-06-01  315.14  317.24  315.14  \n",
-       "1958-07-01  315.22  315.86  315.19  \n",
-       "...            ...     ...     ...  \n",
-       "2019-09-01  412.05  408.55  412.06  \n",
-       "2019-10-01  412.29  408.43  412.07  \n",
-       "2019-11-01  412.54  410.28  412.56  \n",
-       "2019-12-01  412.79  411.85  412.78  \n",
-       "2020-01-01  413.05  413.37  413.33  \n",
-       "\n",
-       "[743 rows x 11 columns]"
-      ]
-     },
-     "execution_count": 320,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df = df.interpolate(method='linear', limit_direction='forward',limit=3)\n",
     "df"
@@ -1633,254 +326,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 321,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1964-01-01</th>\n",
-       "      <td>72</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>1</td>\n",
-       "      <td>23391</td>\n",
-       "      <td>1964.0410</td>\n",
-       "      <td>319.5700</td>\n",
-       "      <td>319.5300</td>\n",
-       "      <td>319.37</td>\n",
-       "      <td>319.32</td>\n",
-       "      <td>319.57</td>\n",
-       "      <td>319.53</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-02-01</th>\n",
-       "      <td>73</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>2</td>\n",
-       "      <td>23422</td>\n",
-       "      <td>1964.1257</td>\n",
-       "      <td>320.2425</td>\n",
-       "      <td>319.4975</td>\n",
-       "      <td>320.01</td>\n",
-       "      <td>319.36</td>\n",
-       "      <td>320.01</td>\n",
-       "      <td>319.36</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-03-01</th>\n",
-       "      <td>74</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>3</td>\n",
-       "      <td>23451</td>\n",
-       "      <td>1964.2049</td>\n",
-       "      <td>320.9150</td>\n",
-       "      <td>319.4650</td>\n",
-       "      <td>320.74</td>\n",
-       "      <td>319.41</td>\n",
-       "      <td>320.74</td>\n",
-       "      <td>319.41</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-04-01</th>\n",
-       "      <td>75</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>4</td>\n",
-       "      <td>23482</td>\n",
-       "      <td>1964.2896</td>\n",
-       "      <td>321.5875</td>\n",
-       "      <td>319.4325</td>\n",
-       "      <td>321.83</td>\n",
-       "      <td>319.45</td>\n",
-       "      <td>321.83</td>\n",
-       "      <td>319.45</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-05-01</th>\n",
-       "      <td>76</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>5</td>\n",
-       "      <td>23512</td>\n",
-       "      <td>1964.3716</td>\n",
-       "      <td>322.2600</td>\n",
-       "      <td>319.4000</td>\n",
-       "      <td>322.34</td>\n",
-       "      <td>319.49</td>\n",
-       "      <td>322.26</td>\n",
-       "      <td>319.40</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-08-01</th>\n",
-       "      <td>79</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>8</td>\n",
-       "      <td>23604</td>\n",
-       "      <td>1964.6230</td>\n",
-       "      <td>318.6900</td>\n",
-       "      <td>320.0000</td>\n",
-       "      <td>318.24</td>\n",
-       "      <td>319.58</td>\n",
-       "      <td>318.69</td>\n",
-       "      <td>320.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-09-01</th>\n",
-       "      <td>80</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>9</td>\n",
-       "      <td>23635</td>\n",
-       "      <td>1964.7077</td>\n",
-       "      <td>316.7100</td>\n",
-       "      <td>319.6500</td>\n",
-       "      <td>316.64</td>\n",
-       "      <td>319.60</td>\n",
-       "      <td>316.71</td>\n",
-       "      <td>319.65</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-10-01</th>\n",
-       "      <td>81</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>10</td>\n",
-       "      <td>23665</td>\n",
-       "      <td>1964.7896</td>\n",
-       "      <td>316.8700</td>\n",
-       "      <td>319.9100</td>\n",
-       "      <td>316.59</td>\n",
-       "      <td>319.62</td>\n",
-       "      <td>316.87</td>\n",
-       "      <td>319.91</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-11-01</th>\n",
-       "      <td>82</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>11</td>\n",
-       "      <td>23696</td>\n",
-       "      <td>1964.8743</td>\n",
-       "      <td>317.6800</td>\n",
-       "      <td>319.5800</td>\n",
-       "      <td>317.76</td>\n",
-       "      <td>319.64</td>\n",
-       "      <td>317.68</td>\n",
-       "      <td>319.58</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1964-12-01</th>\n",
-       "      <td>83</td>\n",
-       "      <td>1964</td>\n",
-       "      <td>12</td>\n",
-       "      <td>23726</td>\n",
-       "      <td>1964.9563</td>\n",
-       "      <td>318.7100</td>\n",
-       "      <td>319.4900</td>\n",
-       "      <td>318.89</td>\n",
-       "      <td>319.66</td>\n",
-       "      <td>318.71</td>\n",
-       "      <td>319.49</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>12 rows × 11 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            index    Yr  Mn  Date 1     Date 2        s1        s2      s3  \\\n",
-       "period                                                                       \n",
-       "1964-01-01     72  1964   1   23391  1964.0410  319.5700  319.5300  319.37   \n",
-       "1964-02-01     73  1964   2   23422  1964.1257  320.2425  319.4975  320.01   \n",
-       "1964-03-01     74  1964   3   23451  1964.2049  320.9150  319.4650  320.74   \n",
-       "1964-04-01     75  1964   4   23482  1964.2896  321.5875  319.4325  321.83   \n",
-       "1964-05-01     76  1964   5   23512  1964.3716  322.2600  319.4000  322.34   \n",
-       "...           ...   ...  ..     ...        ...       ...       ...     ...   \n",
-       "1964-08-01     79  1964   8   23604  1964.6230  318.6900  320.0000  318.24   \n",
-       "1964-09-01     80  1964   9   23635  1964.7077  316.7100  319.6500  316.64   \n",
-       "1964-10-01     81  1964  10   23665  1964.7896  316.8700  319.9100  316.59   \n",
-       "1964-11-01     82  1964  11   23696  1964.8743  317.6800  319.5800  317.76   \n",
-       "1964-12-01     83  1964  12   23726  1964.9563  318.7100  319.4900  318.89   \n",
-       "\n",
-       "                s4      s5      s6  \n",
-       "period                              \n",
-       "1964-01-01  319.32  319.57  319.53  \n",
-       "1964-02-01  319.36  320.01  319.36  \n",
-       "1964-03-01  319.41  320.74  319.41  \n",
-       "1964-04-01  319.45  321.83  319.45  \n",
-       "1964-05-01  319.49  322.26  319.40  \n",
-       "...            ...     ...     ...  \n",
-       "1964-08-01  319.58  318.69  320.00  \n",
-       "1964-09-01  319.60  316.71  319.65  \n",
-       "1964-10-01  319.62  316.87  319.91  \n",
-       "1964-11-01  319.64  317.68  319.58  \n",
-       "1964-12-01  319.66  318.71  319.49  \n",
-       "\n",
-       "[12 rows x 11 columns]"
-      ]
-     },
-     "execution_count": 321,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "d = df[(df.Yr >= 1964) & (df.Yr < 1965)]\n",
     "d"
@@ -1888,20 +336,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 426,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.08390542740841234"
-      ]
-     },
-     "execution_count": 426,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "data_cube = df.copy()\n",
     "popt, pcov = curve_fit(func_cube,data_cube['Date 2'],data_cube['s1'])\n",
@@ -1916,104 +353,57 @@
     "dt"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Utilisation de la fonction np.fft.fft pour transformer le signal temporel en signal fréquentiel à l’aide de la transformée de Fourier rapide. Le résultat s1_fft est un tableau de nombres complexes. La densité spectrale de puissance est calculée à l’aide de la formule Γx=|X|2T. Les fréquences sont ensuite calculées à l’aide de la fonction np.fft.fftfreq."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 429,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<StemContainer object of 3 artists>"
-      ]
-     },
-     "execution_count": 429,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1296x720 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "s1 = data_cube.co2 - data_cube.co2.mean()\n",
     "\n",
     "# calcul de la transformee de Fourier et des frequences\n",
     "s1_fft = np.fft.fft(s1)\n",
+    "\n",
     "n = s1.size\n",
     "dt = 1/12\n",
-    "freq = np.fft.fftfreq(n, d=dt)\n",
+    "pds_s1 = (dt/n) * np.abs(s1_fft)**2  # densité spectral de puissance\n",
+    "freq = np.fft.fftfreq(n, d=dt)       # fréquences associées\n",
     "\n",
+    "freq = freq[:n/2]\n",
+    "pds_s1 = pds_s1[:n/2]\n",
     "# affichage de la transformee de Fourier\n",
     "plt.figure(figsize=(18, 10))\n",
-    "plt.stem(freq, abs(s1_fft.real), label=\"real\")\n"
+    "plt.stem(freq, pds_s1, label=\"PSD\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finalement, seules les « moitiés droites » des tableaux sont conservées car les gauches contiennent les fréquences négatives. Ces opérations sont réalisées àl’aide duslicingpython (tranchage)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 431,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<StemContainer object of 3 artists>"
-      ]
-     },
-     "execution_count": 431,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.stem(freq[0:100], abs(s1_fft.real[0:100]), label=\"real\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 407,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      " Estimation de la frequence lente : 12.0 \n",
-      " Esitmation de la fréquence rapide : 744.0\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "array([ 1,  2, 62])"
-      ]
-     },
-     "execution_count": 407,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "type(s1_fft.real)\n",
     "N = (len(s1_fft.real)+1)/2\n",
@@ -2024,31 +414,6 @@
     "f_rapide = indide_f[0][-1] * (1/dt)\n",
     "print(f' Estimation de la frequence lente : {f_lente} \\n Esitmation de la fréquence rapide : {f_rapide}')\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 384,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "372.0"
-      ]
-     },
-     "execution_count": 384,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {