diff --git a/lec7.ipynb b/lec7.ipynb
index 9d69734..bc7c7b5 100644
--- a/lec7.ipynb
+++ b/lec7.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Управление потоком жидкости"
+    "## Управление каденсом велосипедиста"
    ]
   },
   {
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -125,7 +125,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -134,13 +134,13 @@
        "(<Figure size 640x480 with 1 Axes>, <Axes: >)"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -172,7 +172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -197,14 +197,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Пример расчета выходной переменной influx на основе входных переменных level и flow\n",
+    "#### Пример расчета выходной переменной cadence на основе входных переменных speed и target\n",
     "\n",
     "Система также формирует подробный журнал выполнения процесса нечеткого логического вывода"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -354,7 +354,7 @@
        "np.float64(35.97074517705886)"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -371,14 +371,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### Визуализация функции принадлежности для выходной переменной influx\n",
+    "#### Визуализация функции принадлежности для выходной переменной cadence\n",
     "\n",
-    "Функция получена в процессе аккумуляции и используется для дефаззификации значения выходной переменной influx"
+    "Функция получена в процессе аккумуляции и используется для дефаззификации значения выходной переменной cadence"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -412,7 +412,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -452,34 +452,34 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>17944</th>\n",
-       "      <td>14426</td>\n",
-       "      <td>2010</td>\n",
-       "      <td>1.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10224</th>\n",
-       "      <td>1568</td>\n",
-       "      <td>2011</td>\n",
-       "      <td>2.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15926</th>\n",
-       "      <td>3136</td>\n",
-       "      <td>2012</td>\n",
-       "      <td>3.5</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>559</th>\n",
-       "      <td>10976</td>\n",
-       "      <td>1995</td>\n",
+       "      <th>3329</th>\n",
+       "      <td>188</td>\n",
+       "      <td>2009</td>\n",
        "      <td>2.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>15725</th>\n",
-       "      <td>21169</td>\n",
-       "      <td>2012</td>\n",
-       "      <td>1.6</td>\n",
+       "      <th>15830</th>\n",
+       "      <td>16621</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>2.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3384</th>\n",
+       "      <td>3293</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>5.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1672</th>\n",
+       "      <td>59464</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>2.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10342</th>\n",
+       "      <td>8500</td>\n",
+       "      <td>2006</td>\n",
+       "      <td>1.5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -488,34 +488,34 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>574</th>\n",
-       "      <td>10663</td>\n",
-       "      <td>2011</td>\n",
-       "      <td>1.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8337</th>\n",
-       "      <td>45</td>\n",
-       "      <td>2007</td>\n",
-       "      <td>1.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14664</th>\n",
-       "      <td>34497</td>\n",
-       "      <td>2011</td>\n",
+       "      <th>8472</th>\n",
+       "      <td>470</td>\n",
+       "      <td>2015</td>\n",
        "      <td>3.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>12408</th>\n",
-       "      <td>43905</td>\n",
-       "      <td>2010</td>\n",
-       "      <td>3.5</td>\n",
+       "      <th>7958</th>\n",
+       "      <td>6586</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>1.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>10796</th>\n",
-       "      <td>12858</td>\n",
+       "      <th>272</th>\n",
+       "      <td>16308</td>\n",
+       "      <td>2008</td>\n",
+       "      <td>2.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4525</th>\n",
+       "      <td>7683</td>\n",
        "      <td>2013</td>\n",
-       "      <td>1.6</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5251</th>\n",
+       "      <td>7997</td>\n",
+       "      <td>2004</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -524,17 +524,17 @@
       ],
       "text/plain": [
        "       Price  Prodyear  Engine volume\n",
-       "17944  14426      2010            1.8\n",
-       "10224   1568      2011            2.4\n",
-       "15926   3136      2012            3.5\n",
-       "559    10976      1995            2.5\n",
-       "15725  21169      2012            1.6\n",
+       "3329     188      2009            2.5\n",
+       "15830  16621      2005            2.4\n",
+       "3384    3293      2014            5.7\n",
+       "1672   59464      2016            2.2\n",
+       "10342   8500      2006            1.5\n",
        "...      ...       ...            ...\n",
-       "574    10663      2011            1.3\n",
-       "8337      45      2007            1.3\n",
-       "14664  34497      2011            3.0\n",
-       "12408  43905      2010            3.5\n",
-       "10796  12858      2013            1.6\n",
+       "8472     470      2015            3.0\n",
+       "7958    6586      2014            1.4\n",
+       "272    16308      2008            2.2\n",
+       "4525    7683      2013            2.0\n",
+       "5251    7997      2004            2.0\n",
        "\n",
        "[15389 rows x 3 columns]"
       ]
@@ -579,71 +579,71 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>9398</th>\n",
-       "      <td>3293</td>\n",
-       "      <td>2010</td>\n",
-       "      <td>1.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7548</th>\n",
-       "      <td>8154</td>\n",
-       "      <td>2008</td>\n",
-       "      <td>3.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3040</th>\n",
-       "      <td>25089</td>\n",
-       "      <td>2013</td>\n",
-       "      <td>1.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3395</th>\n",
-       "      <td>17346</td>\n",
-       "      <td>2012</td>\n",
-       "      <td>1.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6379</th>\n",
-       "      <td>65052</td>\n",
-       "      <td>2018</td>\n",
+       "      <th>13393</th>\n",
+       "      <td>3763</td>\n",
+       "      <td>2016</td>\n",
        "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>4751</th>\n",
+       "      <td>470</td>\n",
+       "      <td>2011</td>\n",
+       "      <td>2.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11945</th>\n",
+       "      <td>706</td>\n",
+       "      <td>2010</td>\n",
+       "      <td>1.3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5150</th>\n",
+       "      <td>470</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10864</th>\n",
+       "      <td>5488</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>2.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5180</th>\n",
-       "      <td>7056</td>\n",
-       "      <td>2010</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9497</th>\n",
-       "      <td>28225</td>\n",
-       "      <td>2011</td>\n",
-       "      <td>2.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13141</th>\n",
-       "      <td>11917</td>\n",
-       "      <td>2003</td>\n",
-       "      <td>2.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17474</th>\n",
-       "      <td>28225</td>\n",
-       "      <td>2013</td>\n",
-       "      <td>1.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2493</th>\n",
-       "      <td>3136</td>\n",
+       "      <th>5343</th>\n",
+       "      <td>7840</td>\n",
        "      <td>1998</td>\n",
        "      <td>2.8</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9938</th>\n",
+       "      <td>19444</td>\n",
+       "      <td>2013</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6576</th>\n",
+       "      <td>26343</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12789</th>\n",
+       "      <td>39750</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>1.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5395</th>\n",
+       "      <td>18189</td>\n",
+       "      <td>2012</td>\n",
+       "      <td>1.9</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>3848 rows × 3 columns</p>\n",
@@ -651,17 +651,17 @@
       ],
       "text/plain": [
        "       Price  Prodyear  Engine volume\n",
-       "9398    3293      2010            1.8\n",
-       "7548    8154      2008            3.3\n",
-       "3040   25089      2013            1.8\n",
-       "3395   17346      2012            1.6\n",
-       "6379   65052      2018            2.0\n",
+       "13393   3763      2016            2.0\n",
+       "4751     470      2011            2.4\n",
+       "11945    706      2010            1.3\n",
+       "5150     470      2019            2.0\n",
+       "10864   5488      2014            2.5\n",
        "...      ...       ...            ...\n",
-       "5180    7056      2010            2.0\n",
-       "9497   28225      2011            2.0\n",
-       "13141  11917      2003            2.4\n",
-       "17474  28225      2013            1.8\n",
-       "2493    3136      1998            2.8\n",
+       "5343    7840      1998            2.8\n",
+       "9938   19444      2013            2.0\n",
+       "6576   26343      2017            3.0\n",
+       "12789  39750      2017            1.6\n",
+       "5395   18189      2012            1.9\n",
        "\n",
        "[3848 rows x 3 columns]"
       ]
@@ -707,7 +707,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -737,7 +737,7 @@
     },
     {
      "data": {
-      "image/png": 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IK0qM/vrrL3r06MGQIUM4cuQI3t7e1KpVi7t37772+r///jv9+vXT1z979ixz5szR9zFgwABswfvZ0tCuQg7Gb7jAhTuPjQ5HCCFEIroZeJNOmzuRO1VuxlQcg4Odg9EhWaUk0QZ2D1QjRCVKlGDKlCn6fFRUlB4F6tq1q06AXtWlSxedEG3evPn5ZT179mT//v3s2rUrRo8ZGBhIypQpCQgIwM3NDUsTEh5Jvcm7cHG0Y1mncjjaGz7oJ4QQIoHdD75Pi7UtdAPHBXUWkNoltdEhWS3DPlXDwsI4fPgw1atX//9g7Oz0+b179772NmXLltW3eTbdduXKFdasWUPdunXf+DihoaE6GXrxZMlcHO0Z39ybs76Pmbr1ktHhCCGESGBB4UF03tyZ4Ihg3dVakiIrTYz8/f2JjIwkQ4YML12uzvv5+b32Np988gnfffcd5cuXx9HRkZw5c1K5cuW3TqWNHDlSjxA9O6kRKUtXJFMqOlXOyZQtlzh1O8DocIQQQiSQ8KhwemzvwbXAa0yrNo1MKTIZHZLVs6h5mG3btjFixAimTZuma5KWLl3K6tWrGTZs2Btv079/fz1t9ux086Z1bK/RtWpucmdIQc+FxwmNiDQ6HCGEEPFMVboM3TOU/b77mVB5AvnT5jc6JJtgWOWWu7s79vb23Llz56XL1XkPD4/X3mbQoEG0aNGCL774Qp8vXLgwT58+pX379gwcOFBPxb3K2dlZn6yNk4OdnlJrMGUXEzddpG/tfEaHJIQQIh5NPjpZ9ysaVWEUZTzLGB2OzTBsxMjJyYnixYu/VEitiq/V+TJlXv8HEBQU9K/kRyVXii3uQJ8/oxvdqudh5vbLHLnx0OhwhBBCxJM/z/3J7JOz6Vm8Jx/k+MDocGyKoVNpaqn+7NmzmT9/vl5t1rFjRz0C1KZNG/3zli1b6qmwZ+rXr8/06dP5888/uXr1Khs3btSjSOryZwmSrfmyYg4KZ0pFr4XHCQ6TKTUhhLB0m65vYsT+EXyW/zNaFWxldDg2x9AmCB999BH37t1j8ODBuuC6aNGirFu37nlB9o0bN14aIfrmG1MzK/X/27dvky5dOp0UDR8+HFvlYG/HuGZFqPvjLsasP8eQ+gWNDkkIIUQcHb5zmL47+lIrWy16l+gtDRxtrY+RESy9j9Gb/LTzCt+vPssf7UpTJmdao8MRQggRS5ceXqLlupbkT5NfL8t3sncyOiSbZFGr0sSbtSmXnZLZ0tB78XGehEYYHY4QQohY8HvqR4dNHciYPCMTq0yUpMhAkhhZCXu7JIxtVoT7T8IYseas0eEIIYSIocCwQDpu6ohdEjs9UpTCKYXRIdk0SYysSNa0yRnwQX5+33+D7RfuGR2OEEKI/xAaGcpXW77ibtBdZlSfQfpk6Y0OyeZJYmRlPiuVhQq53em7+AQBweFGhyOEEOINIqMi6b+zP6f8TzG12lRypMphdEhCEiPro1YwjG5ShKehEXy38ozR4QghhHgNte5pzMExbL6xmTEVx1A0fVGjQxL/kMTICnmmSsrg+gVYcuQWG8+83FlcCCGE8X4+9TO/n/udgaUGUjVLVaPDES+QxMhKNS2eiWr50tN/6UkePA0zOhwhhBD/WHl5JROPTOTLIl/SPG9zo8MRr5DEyIqn1EZ+WJiIqCgGrThldDhCCCGA3bd3M3j3YD7M/SGdi3Y2OhzxGpIYWbH0bi5817AQq0/4svK4j9HhCCGETTt9/zTdt3WnrFdZBpUeJF2tzZQkRlaufpGMfFA4ox41uvs4xOhwhBDCJt0MvEmnTZ3IlSoXYyuOxcHO0B25xFtIYmTl1DeSYY0K4WCXhAFLT+mVEEIIIRLP/eD7uqu1atw4pdoUkjkmMzok8RaSGNmANMmdGN64MJvO3mHpkdtGhyOEEDYjKDyILpu78DT8qW7gmMYljdEhif8giZGNqFXQgw+LeTF05Wl8A4KNDkcIIaxeeFQ4Pbf35ErAFb3VR6YUmYwOScSAJEY2ZEj9giR3cqDP4hMypSaEEAlIvcd+u+db9vnsY0KVCeRPm9/okEQMSWJkQ1Imc2RUk8LsvOjPb/tvGB2OEEJYrclHJ7Pi8gqGlR9GWc+yRocjYkESIxtTOW96/lcyMyPWnOXG/SCjwxFCCKvz17m/mH1yNj2K96BejnpGhyNiSRIjGzTwgwK6ILvX4uNERcmUmhBCxJfN1zczfP9wPsv/Ga0LtjY6HBEHkhjZIFdnB8Y0LcKBqw+Yu+ea0eEIIYRVOHLnCH129KFmtpr0LtFbGjhaKEmMbFTZnO60LpuNMevOcfneE6PDEUIIi3b50WW6bOmCd3pvRpQfgV0S+Xi1VHLkbFjf2vnwTJWUnguPExEZZXQ4Qghhkfye+ukGjh7JPZhUZRJO9k5GhyTegSRGNiypkz0/NPPmxK1HzNp5xehwhBDC4gSGBdJxU0eSkITp1abr7tbCskliZOOKZ01N+4o5mbjxIuf8Ao0ORwghLEZoZChfb/mau0F3dVfrDMkzGB2SiAeSGAm618hNdvfkekotXKbUhBDiP0VFRzFg5wBO+p/U+5/lSJXD6JBEPJHESODsYM+45t6c93vMlC2XjA5HCCHMvqv1mINj2HRjE6MrjqZY+mJGhyTikSRGQivklZLOVXIxZeslTt4KMDocIYQwW3NPz+W3s78xsNRAqmWpZnQ4Ip5JYiSe61I1F/k8UtBz0TFCwiONDkcIIczOyssrmXB4Au2LtKd53uZGhyMSgCRG4jlHezs9pXbNP4gJmy4YHY4QQpiVPbf3MHj3YBrnakyXol2MDkckEEmMxEvyebjRrUZuZu+4wuHrD4wORwghzMKZ+2fovq07ZTzLMKjMIOlqbcUkMRL/0r5CDrwzp6LXohMEh8mUmhDCtt18fFP3KsqZKic/VPoBRztHo0MSCUgSI/EvDmpKrZk3Po+CGb3unNHhCCGEYR6EPKDDxg66caNalp/MMZnRIYkEJomReK0c6Vz1liHz9lxjz2V/o8MRQohEFxQeROdNnXka/pTp1aeTxiWN0SGJRCCJkXgjtclsqexp6L3oBE9CI4wORwghEk14VDi9tvfiSsAVplWfRuYUmY0OSSQSSYzEG9nZJWFsU28eBoUxfPUZo8MRQohEa+A4bO8w9vrsZUKVCRRIW8DokEQiksRIvFWWtMkY+EF+/jhwk23n7xodjhBCJLgpx6aw7NIyviv3HWU9yxodjkhkkhiJ//RJySxUyO1O3yUnCAgKNzocIYRIMAvPL2TWiVl0L96d+jnrGx2OMIAkRuI/qX4do5sUISgskm9XnjY6HCGESBCbb2xm+P7hfJr/U9oUbGN0OMIgkhiJGPFMlZQh9Quy9Oht1p/2Mzoc6xUVBX9+CgtbQfBDo6MRwmYcvXuUvjv6Uj1LdfqU6CMNHG2YJEYixpq850X1/BkYuOwkD56GGR2Oddo/A86tgstbYGYl8DlqdERCWL3Ljy7TZXMXCrsXZkSFEdglkY9GWyZHX8SY+gY14sNCREZF883yk3rlhohH/hdh87dQqgN02AnJ0sCcmnBgtlomY3R0QlilO0/v0GFTBzIkz8CkqpNwtnc2OiRhMEmMRKykT+HCsEaFWHPSj5UnfI0Ox3pERsCyDuDmBdWGQOps8Pl6eK8VrOkFS9pC6GOjoxTCqgSGBeqkSJlebTpuTm5GhyTMgCRGItbqFfGkXpGMDFp+iruBIUaHYx32TAKfI9B4Bjj9s+WAgzN88AM0/RkurIdZVeCO9JMSIj6ERoby9ZavuRt0lxnVZ+gRIyEUSYxEnAxrWAhHezv6L5UptXd25zRsHQllv4LMJf/980JNoP02sHeC2VXh2O9GRCmE1YiKjmLAzgGc9D/J5KqT9eawQjwjiZGIk9TJnRj1YWE2n7vL4sO3jA7HckWEwbIvIW0uqDLgzddzzw1fbDIlScs7woouEB6cmJEKYRXUF7kxB8ew6cYmRlcYzXsZ3jM6JGFmJDEScVa9QAaaFs/EdyvPcPuRfEjHyc4f4O5ZaDzdNHX2NmqKrdFUaDgVTi6Cn6qD/6XEilQIqzD39Fx+O/sbA0oOoFrWakaHI8yQJEbinQyuXwBXFwf6Lj4hU2qxdfsI7PgBKvQCz2Ixv12xz+CLzRARArMqw+llCRmlEFZj5eWVTDg8gXaF2/FRvo+MDkeYKUmMxDtxc3HUXbF3XfLn1/03jA7HcoSHmKbEMhSEir1if3uPQtBuK+SuDotaw5o+pmk5IcRr7bm9h8G7B9MoVyO6FutqdDjCjEliJN5ZxTzp+LRUFkauOcv1+0+NDscybB0OD65A45lg7xi3+3Bxg6Zzoe4PcOhnmFsbHklyKsSrztw/Q/dt3SntWZrBZQZLV2vxVpIYiXgxoG5+0ro60WvRcd0AUrzFjf2wZ7Kp2DpDgXe7L/UGX7IdtF0PT+7BjApwfl18RSqExbv5+CYdN3UkR8ocjKs0Dke7OH4RETZDEiMRL5I7O/BDU28OXX/I3N1XjQ7HfIU9heUdINP7puX58cWrOHy5HbKUhj8+go1DTE0jhbBhD0Ie0GFjB1wdXZlafSrJHP/pESbEW0hiJOJNqRxp+bxcdsasP8+lu9Kl+bU2fQuBvtBoBtjZx+99qy1EPv4DanxnGpFa0MD0WELYoKDwIDpv6syT8CfMqDGDNC5pjA5JWAhJjES86l0rL5lSJ6XnwuNEREYZHY55ubIdDsyE6kPAPVfCPIadHZT7GlqvMtUwzawAV7YlzGMJYabCo8Lptb0XVwKuMK36NDKnyGx0SMKCSGIk4pWLoz3jmnlz8nYAM7ZfNjoc8xESCCs6Q9byUPLLhH+8rGXhy52mVW8LGsH2MRAliaqwfqptyLC9w9jrs5cJlSdQMG1Bo0MSFkYSIxHvimVJTYdKOZm0+SJnfAKNDsc8bBgIQQ9MDRrVqE5icE0Hny2FSn1h6wj4rQk89U+cxxbCIFOOTWHZpWV8V+47ynqVNTocYYEkMRIJ4uvqucmZzpUeC48RFmHjIxUXNsCRBVDre0idLXEfW9UxVekPny0B3+OmVWtqVZwQVmjh+YXMOjGLbu91o37O+kaHIyyUJEYiQTg72PNDM28u3X3C5C0XsVnBD2HlV5CzKhRvY1wcuapBh12QKgvMq2sqzpZO5cKKbL6xmeH7h/NJvk/4vNDnRocjLJgkRiLBFPJKSdequZm27TLHbz7CJq3tC2FB0GCKqeeQkdw8TUXZpTvBhm/gz08h2EaPi7AqR+8epe+OvlTLUo0+JfpIA0fxTiQxEgmqU5WcFMjoRs9FxwkJj8SmnF0JJ/6COqMhpRdmQXXZrjnMtKz/+i6YWRF8jhodlRBxdvnRZbps7kJh98KMrDAS+/hugyFsjiRGIkE52tsxrrk3N+4HMX7jBWyGKnJe2Q3y1gXvjzE7+erClzsgaWqYUxMO/iRTa8Li3Hl6hw6bOpA+WXomVZ2Es72z0SEJKyCJkUhweTKkoEfNPMzeeYWD1x5g9VSCsboHREdBvYnGT6G9iSoEb7sB3msJq3vC0nYQ+sToqISIkcCwQDpu7qj/Pb36dNyc3IwOSVgJSYxEomhXIQfFMqfSe6kFhVn5VhWnlsCZFfDBOEiRAbPm4GyKs8kcOL8WZleBO2eMjkqItwqLDKPb1m56xGhG9Rl4JPcwOiRhRSQxEonC3i4J45oX5U5gCKPWnsNqPfYzjb4U/BAKfYjFKNwU2m8DOweYXRWO/WF0REK8VlR0FAN2DeDEvRNMrjqZnKlyGh2SsDKSGIlEk909Of1q52PB3uvsvuRvnVNoK78GeyfTKIylcc8NX2w2JXRqo9sVXSA82OiohHipq/XYg2PZeH0joyuM5r0M7xkdkrBChidGU6dOJVu2bLi4uFCqVCkOHDjw1us/evSIzp07kzFjRpydncmTJw9r1qxJtHjFu2lZJhtlcqSlz+ITPA4Jx6oc+w0urIMGP5o2dLVETsmg0TRTe4GTi+CnGnBftnYR5mHe6Xn8evZXBpQcQLWs1YwOR1ipOCdGmzdvpl69euTMmVOf1L83bdoUq/v466+/6NGjB0OGDOHIkSN4e3tTq1Yt7t69+9rrh4WFUaNGDa5du8bixYs5f/48s2fPxsvLTJZCi/9kZ5eEMU2L8CgojO9XncVqPLoJ6/pD0U8hbx0s3nstTKNH4UEwsxKcXm50RMLGrby8kvGHx9OucDs+yveR0eEIKxanxGjatGnUrl2bFClS8PXXX+uTm5sbdevW1SNAMTV+/HjatWtHmzZtKFCgADNmzCBZsmT8/PPPr72+uvzBgwcsX76ccuXK6ZGmSpUq6YRKWI7MaZIxqF4B/jp0k63nXp8EW9wU2t9dwDkF1B6J1fAoZKo7Ul2zF7UyNauMCDM6KmGD9vjsYfDuwTTK1YiuxboaHY6wckmi1aRtLGXKlIl+/frRpUuXly5XSdGIESO4ffv2f96HGv1RSZAa+WnUqNHzy1u1aqWny1asWPGv26jEK02aNPp26ufp0qXjk08+oW/fvtjbv76pV2hoqD49ExgYSObMmQkICNDJnDCG+rNrM++g3mR2Q/eKpErmhMVSPYBUwbXasFUlEdZGvUUcmA3rB0DGItBsnmlrESESwZn7Z2izro2uJ/qx6o842jkaHZKwcg5xuZFKXNSI0atq1qypk5SY8Pf3JzIykgwZXl7OrM6fO/f6VUtXrlxhy5YtfPrpp7qu6NKlS3Tq1Inw8HA9Hfc6I0eO5Ntvv41RTCLxqJb9oz4sQs0J2xn692kmflwMi/TgCmwYBO9/bp1JkaL6MJVqD17FYVFr00a0H86CPLWMjkxYuZuPb9JpUydypMzBuErj4iUpioqK0p89wjw5ODgYvqVLnBKjBg0asGzZMnr37v3S5WoUR9UaJRT1B50+fXpmzZqlR4iKFy+uR6fGjh37xsSof//+uo7p1REjYTyPlC5827Ag3f86Tu1CHtQulBGLEhUJyzuBa3qoMQyrl6k4fLkdlneE35tD+R5QZSDYx+ltRIi3ehDygI6bOpLcMTlTq08lmWOydx6lVjMFQUFB8RajiH8qKVKzQSpBMkqcHlnVAw0fPpxt27ZRpkwZfdm+ffvYvXs3PXv25Mcff3x+3a+++uq19+Hu7q6Tmzt37rx0uTrv4fH6Zl1qJZqjo+NL02b58+fHz89PT805Of17OkatXFMnYZ4aFfVi7Uk/Bi47xfvZ0uDuakHHat90uLEPWq8GZ1dsglptp/ZZ2/MjbP4Obh6ApnMghTTYE/EnKDxI73/2OOwxv9b9lTQu777K81lSpEoo1GeF0aMS4vXJ68OHD/WsVNq0aQ07RnGqMcqePXvM7jxJEj399SZqeX7JkiWZPHny8xGhLFmy6NolVcP0qgEDBvD777/r+7SzM9WNT5o0idGjR+Pj4xOjmNSIUcqUKaXGyIzcexxKrYk7KJktDdM/e88y3rDunTdNKZX4AmqPwCZd2w2LP4foSFPn7ByVjI5IWIGIqAi+3vo1h/wO8XPtnymYtuA736f6bFFfoNV7vqurjXyJsVDBwcE6OVJlNW+qHU5w0Qb6888/o52dnaPnzZsXfebMmej27dtHp0qVKtrPz0//vEWLFtH9+vV7fv0bN25Ep0iRIrpLly7R58+fj161alV0+vTpo7///vsYP2ZAQIBKBPX/hflYfcInOmvfVdHLj96KNnsR4dHRMytHR/9YPDo6LCjapj2+Gx09r3509NBU0dHbxkRHR0YaHZGwYFFRUdGDdg2KLjq/aPTuW7vj7X7DwsKib9++HR0aGhpv9ykShjpG6lipY2YUQ4sDPvroI+7du8fgwYN1Nl+0aFHWrVv3vCD7xo0bz0eGFFUbtH79erp3706RIkV0/yLVKiCmBd/CfNUtnJEG3p4MWn6K0jnSksHNBbO1ewL4HoO2G8ExKTbNNR20WAbbR8PW4XBjL3w4G5KnNToyYYGmHpvKskvLGFF+BGW9ysb7/VvEaLSNS2IGxyjGU2mqgHnYsGEkT578pWLmN/UnMlcylWa+VNPHGhN2UNDTjbmtS5jFC+Rf/E7CrCpQtitUf33Bv826tBmWtgMHF2g6F7KUMjoiYUEWnl/IsH3D6PZeN9oWbhuv961WLqsv4aqoV9WpCvMVbgbHKsYjRkePHtUBP/v3m5jlh5mwCKqX0agPC9N2/iEWHrrJRyXMrFeOam64rAO454HK/66Bs3mqXcGXO011R/PqQvVvoUxn03J/Id5i843NDN8/nE/yfcLnhT43Ohxh42KcGG3duvW1/xYiPlXLn4FmxTMxbNVZyuVyJ1Pqd1uiG692jIF756DdVnCwoNVziSmlF7ReBZu/hQ0DTVNrDadC0lRGRybM1NG7R+m7oy/VslSjT4k+8uX6FZUrV9ZlJhMnTjQ6FJth+CayQrxqUP0CuLk46I1mo6JivWgyYdw+DDvHQ6W+pu7P4s3sHaHm9/Dx73B1J8yqBD7HjI5KmKErj67oZfmF3QszssJI7O0MWoUkxLsmRk+fPmXQoEGULVuWXLlykSNHjpdOQrwLNxdHxjT1Zs/l+/yy77rR4UB4MCzrCB6FoXx3o6OxHPk+MDWEdEkFc2rCoZ9N24sIAdwNukuHTR1Inyw9k6pOwtleRmGFeYjTqrQvvviC7du306JFC910UYY+RXwrn9udFqWzMmrtOSrlSUc29+TGBbPle3h4zfQhr0ZDRMylyQ6frzdNq63qDtf3QL2JttMQU7yWatyoulpHRUcxvfp03JxkIUxMqP4+aiX2ypUr9R6gahN11VA5d+7cujmi2hli+vTpNG3aVF9fTcGppsm+vr76/K5du6hWrZq+H7XnqIjHxGjt2rWsXr1a73AvRELpVycfOy7eo9ei4/z1ZRns7QxIwK/vhb1Toca3kD5/4j++NXB0gQ/GQZYy8PdX4Hscmi+Q36eNCosM0w0cfZ/6sqD2AjySG9c1PTgsksv3niT64+ZM50pSp9hPG7Zu3ZqLFy/y999/61XVqlWN2lz9zJkzegVXxYoV9Y4UKjFSyc/Zs2dJmjSp3n80X758ekCjRIkSkhQlRGKUOnVqvcu9EAkpubMDPzTzpvnMvczZdYX2FXMmbgBhT037gmUuCWW6JO5jW6PCTcGjCCxsCbOrQr0J4P2x0VGJRKRGiAbsGsDxu8eZXXM2uVLnMjQelRTVm7wr0R93VdfyFPJKGavbPEuI1NZbqoxF+e2333R/v+XLl9OsWTNdqD1z5kz9sx07dlCsWDG9xZZKllRipP6vRplEAiRGqp+Raso4f/58yTxFgiqRLQ1flM/ODxsuUCVvenJnSJF4D75xCDz2g8+WgBSFxo90eaDdZljdE5Z9aZpaqzNaGmXaADXVM/bgWDZc28D4yuN5L8N7RoekR25UkmLE48aWGv1RG6uqrbSeUfuJ5c2bV/9MUUmPmmpTfYDU6JBKlJ4lRm3btmXPnj306dMnXp+LTSdGKvN8sZbo0qVLukN1tmzZ/tWE6ciRI/EbpbBpPWvmZev5e/RcdJylHcviYJ8IiymvbIODs6HOGEibyCNV1s4pOTSaDlnLwZpe4HMEms2X37OVm396Pr+e/ZWBpQZSPWt1zIGazortyI05K1y4sJ7NUUmROqnN3lVipPYTPXjwoO5F+Gy0ScRDYtSoUaOYXlWIeOXiaM+4Zt58OH0P07ddpmu13An7gCEBsKILZFObxLZL2MeyVepL1nstwLMoLGwFMytBo6lQoKHRkYkEsOrKKsYdHke7wu34OJ9Mn8ZF/vz5iYiIYP/+/c+Tm/v373P+/HkKFCigz6vBiwoVKrBixQpOnz5N+fLl9ayOKtRWU2zvv/++3r1CxFNiNGSIbH8gjOOdORWdKudk0uaLVM2fnoKeCfgtb/0ACH4ErafCC3v1iQSgWiC03wZ/dzHVHpXqCDW+AwcnoyMT8WSvz14G7R5Ew5wN6Vqsq9HhWCy18qxhw4a0a9dOJzkpUqSgX79+es9QdfkzavqsZ8+eOglydTVN2amibFWP1Lt3bwOfgeWI07v+zZs3uXXr1vPzBw4coFu3bsyaNSs+YxPiJV2r5tY1Rj0XHic0IjJhHuTCejj6K9QaDqmzJsxjiJe5uJmm0tS05cGfYG4deHTT6KhEPDh7/yzdtnajdMbSDCk7RFq7vKO5c+dSvHhx6tWrR5kyZXTd1po1a14qZ1F1RpGRkTpBekb9+9XLRDxsIvsiNVTXvn173cfIz8+PPHnyUKhQIV0137VrV12Yba5kE1nLdsYnkIZTd9G+Yg5618oXv3ce9ACmlTatnPp0kezxZYRbh2BRawh7Ao1nQZ6aRkck4ujW41t8tuYzvRz/51o/k8wxmU1vTCos51jFacTo1KlTlCxZUv974cKFuuBLVburobp58+bFd4xCPFfA042vqubWtUZHbzyM3ztf2wciQqDBj5IUGSXT+/DlDshUEn5vBpu+hcgIo6MSsfQw5KHuap3cMTlTq001NCkSIlESI5XROTub2rdv2rSJBg0a6H+rPgnPOmwKkVA6Vs5JYa+UepVaSHg8TamdWQEnF0GdseDmGT/3KeImWRr4359QfSjsngQLGpraJgiLEBQepPc/U92tZ1SfQdqkaY0OSYiET4wKFizIjBkz2LlzJxs3bqR27dr6ch8fH91XQYiEpJbrj2vuza2Hwfyw/vy73+GTe6btKvLVgyLN4yNE8a5U0bval67VSrh/CWZUgKs7jI5K/IeIqAj67OjDxUcXmVZtGpndMhsdkhCJkxipngiqKl4Vcv3vf//D29tbX666cj6bYhMiIeVKn4JeNfMwZ/dV9l+5H/c7UiV2q7qZ/q328JIpNPOSrRx02Anp85lGjnaMhagoo6MSr6HKVYftG8bu27uZUHkCBd0LGh2SEInT+Vr98efIkYMbN27ongpqe5BnVEG2dMIWiaVt+RxsOH2HXouPs+7rinoLkVhT02fnVplWRbmmS4gwxbtyTQ8tlsO2UbBlONzYZyrMTi6j0+Zk2vFpLL24lOHlh1POS/bRFDY0YqQSo1y5cunVaC8mRYrqgq129xUiMahNZdVeav6PwxixxtQSP1YCfU2dlws1hYLSwNSsqS1Zqg6EzxaDz1GYWQFuHjA6KvGPhecXMuP4DL5+72sa5DTVnAphM4mRnZ2dbjSlOm4KYbRs7snpXzcfv+2/wc6L92I3hfZ3V3BwgbpjEzJEEZ9yVYcvd0LKTKZ+R3unmo6lMMyWG1sYvn84/8v3P9oWamt0OEIYU2M0atQo3UFTLdsXwmiflcpK2Zxp6bP4BIEh4TG70dFf4NJGaDDZtApKWI6UXtB6NZTqYOpSvrCFaRsXkeiO3T2mi62rZalG3xJ9pYGjsN0Gj2oKLSgoSNcYOTk5kTTpyztjP3jwAHMlDR6t062HQdSeuJPahTz09NpbPboB08pCwYbQcGpihSgSwtlVsLwTJEsNzRdAxv849iLeXAm4Qsu1LcmVKhcza8zE2d7UwsUcmUPTQGE5xyoO1aowceLE+I9EiHeQKXUyBtXLT98lJ6ld0IPqBTK8/opqRdOKzpA0FdQamdhhiviWvx5kKAiLWsFPNaDOKCjeRlYXJrC7QXfpsLED6ZKmY1KVSWadFAmRKIlRq1at4nIzIRJU8/czs+6UH/2WnmRj1tSkTv6ajUjVXlyqH07LFaY9uoTlS5MdPt9gmlZT/aiu74V6E8DZtIGmiF+qcWPHTR2Jio5ievXppHROwA2dhTBAnLcOv3z5Mt98843uY3T37l192dq1azl9+nR8xidEjKn6hlFNihAeGcXgv1/zd3j/MmwaAiXaQQ7ZTNGqOLpAvfHw4U9wbjXMrgp3zxkdldUJiwzTm8L6PvXVXa3VPmjC+kRGRhJlw/3C4pQYbd++Xe+Ptn//fpYuXcqTJ0/05cePH2fIkCHxHaMQMZbBzYXvGhZk5XEfVp94YXuaqEhY3hFcM0CNb40MUSSkIs2g/VZIYgezq8Dxv4yOyGqoEaKBuwbqguvJVSeTK3Uuo0OyGevWraN8+fKkSpVK7y5Rr149PTihlC1blr59+750fVWjo+pzduwwdYsPDQ2lV69eeHl5kTx5ckqVKsW2bdueX1/tcaruWzVpLlCggN7yS/UqPHjwIDVq1MDd3V3X5laqVIkjR4689Fjnzp3Tsbm4uOjbqm3C1JfU5cuXP7/OzZs3ad68uX6MNGnS0LBhQ65du4ZVTaX169eP77//nh49epAiRYrnl1etWpUpU6bEZ3xCxFoDb089pfbN8pOUzJ6GdCmcTcu6Vd+bNmvBKbnRIYqElC4vtNsMq3vCsvZwYw/UHm0aVRJx9sOhH1h/bT3jK4+neIbiWIWwIPC/kPiP654HnGLeDPnp06f687ZIkSJ6IGLw4ME0btyYY8eO8emnnzJmzBi9WvzZqsC//voLT09PKlSooM936dKFM2fO8Oeff+rLly1bprfyOnnypG6/o6gFVWpXi59++kknX6on4ZUrV3TpzOTJk3UPw3HjxlG3bl0uXryoP/vVyFKjRo3IkiWLHih5/PgxPXv2/Fcxda1atShTpozeRszBwUHnD+rxT5w4oRdwWcWqNFdXV/0LzZ49u/7lqJEi1Q1bZYBqI9mQkBDMlaxKsw33n4RSc8IOimdNzczayUkysxKUbAe1hhsdmkgs6q1NtWVY0xvcc5u6m6fNaXRUFmn+6fk6MRpQaoDuV2Q1K518jsGsSokfUPvt4Fk0zjf39/fXz0V9DmfIkEEnO1u2bHmeCKlRpIoVK+pkSY38PNutQl3vmerVq+stvEaMGKFHjNq0aaMTLe9/tvh6HTW9pkZ9fv/9dz1qpUay6tevr0eEPDxM06pqxEiNMqnkSyVNv/76q06Ezp49+zxxCwsL0/ejRpVq1qxpHavS1BPy9fXVidGLjh49qofqhDBaWldnhjcuRJdfD/DowWhSp84GVQcZHZZITOpN+L2W4FkMFraEWZVN7RkKSGfm2Fh9ZbVOir4o/IVFJkX/OXKjkhQjHjcW1AiNGiVSozIqKXpW/6OSnUKFCunk4rffftOJ0dWrV9m7d6/ez1RRyZMa2cmT5+XHVNNrL276rkZu1IjUi+7cuaNridW0m6olVvejRpbU4yrnz58nc+bMz5Mi5dX9UtXAyaVLl16aXVLUAMqz6UBzE6fE6OOPP9ZzmosWLdIZoDpIu3fv1nOYLVu2jP8ohYiD2oUy8mOmbaTwP4v//9bgLlMptsmjMLTfBiu6mJpBlu4E1b8FB/Mbwjc3+3z38c3ub/Q2H18V+wqro6az3mHkJrGoUZmsWbMye/ZsPeqjPnNVQqRGXhQ1nfbVV1/pKS81mqNqgNVJUVNv9vb2HD58WP//1dmfZ1Q/wlcbdLZq1UrvcjFp0iT9+Kr2SE2JPXvcmFCPX7x4cZ24vUqNCllNYqSG3jp37qwzRZVBqoIr9f9PPvlEZ5dCmAXfE9R5sIC5dh+yfbc98/JES2deW+WS0tQAcv9M2PAN3DoITedCqsxGR2a2zj04p1eglcpYiqFlh8prxyAqMVEjMyopejZVtmvXrpeuo4qZ1SbuampLJUYvDlAUK1ZMfz6rEZ9nt4+p3bt3M23aNF1XpKgpMzVi9UzevHn1ZWpkSU3pKapg+0XvvfeernlSNUuWUr4Sp1VpashNHSQ1DLZq1So9h6gq03/55Zd/ZaRCGCIiFJZ1IEm6/ORo+i3bL9zjz4M3jY5KGEl9sJfuAJ+vg8d+po1oL240OiqzdOvxLd2rKJtbNsZXGo+jnXSLNoraaUJNec2aNUtPSalaIlWI/SK10kzV8wwaNEjX8qg2Os+oKTQ1oqSSJbWKXE21HThwgJEjR7J69eq3Pnbu3Ln157q6TzWNp+7nxZ0uVC1Rzpw59ciSKqRWidSzwZFnibS6jVrVppI3VXytHl9NzakRrlu3bmFVfYwUVYlep04dmjVr9ryyXQizsG2UabVJ4+lULpCJj0tk5vtVZ7j5IMjoyITRMr0PX+6ATCXgt6aw+TuIjDA6KrPxMOShToqSOiRlarWpJHOM+eopEf/Uxu1qNZmaClPTZ927d2fs2H9vfK0SEFXPo0aF1Gfzi+bOnasTI7ViTI3yqCRKjey8er1XzZkzh4cPH+pRnxYtWuhkRo38PKMGQlQBtZouK1GiBF988QUDBw7UP1PL95VkyZLptgHqsT788EPy589P27ZtdY2RuY4gxWlV2rNf2IQJE3RRmKISo27duulfjDmTVWk24NYhmFMDqgyAir31RY9DwvVeapnTJOX3L0pjZyfTAjZPFbDunghbhkHWctBkDqR4w1YyNiI4IpgvNnyhR4x+rfMrmd2sY6rRHFY62Yrdu3frvkZqdEuNJlnisYrTiJGqjv/66691QZgqwFYn9W+VyaqfCWGY8GA9hUbGolCu+/OLU7g4MrZpEfZdecD8vebbWEwkIjs7qNADWq00jS7OKA9Xd2KrIqIi6L29NxcfXmRatWlWkxSJhLVs2TI2btyo2/Wopfqq1qlcuXJxSoosuvh6+vTpusboxXnMBg0a6KV+Xbt25bvvvovPGIWIuc3D4NEN6LAT7F/+8y6by51WZbIyet05KuVJR450speWALKVhw67YElbWNAAqgyE8j1MiZONUBMH3+/7nt23dzO52mQKuhc0OiRhIR4/fqxXqasl/KqWSPVHUo0gLVmcXvlqqOv999//1+VqSV5EhMzVC4Nc2w37pkG1Qabux6/Rt04+PNxc6LXoOJFRcZpFFtbINT20WA4VesGW7+H35hD0AFsx/fh0llxcoleflfcqb3Q4woK0bNmSCxcu6JohVUytmkW+2B/JZhIjVYSlRo1eparmVQGYEIku9IlpL7TMpUx9at4gmZMDPzTz5ujNR8zeeSVRQxRmzs4eqg6ETxfD7cMwowLcfHnpsTVadGGRToy+fu9rGuZqaHQ4QljOVNqLywPVMjy1n8qGDRsoXbq0vkwt5VNDadLgURhi4yB4eg9aLDN9wL3F+9nS0L5CDsZvuECVvOnJ6/FyR1Zh43JXN03FLmoDc2tDjWFQuqNpub+V2Xpjq55C+zjvx7Qt1NbocISwrFVpVapUidkdJkmi+yyYK1mVZoUubYZfP4S6P5j2Q4uBkPBI6k/ehbOjHcs6lcPR3nbqSUQMRYbDpqGwdwrkr2/aTkQ1irQSx+4eo92GdlTIVIGxFcdi/x9fKCyZOax0EpZzrOK8XN9SSWJkZYIfwfSykDaXqUYkFgWzJ249ovG0PXStmotu1WO3d5GwIWdXwvLOkCwNNJ8PGd+8yaaluBJwhZZrW5IzZU5m1ZyFs70z1swcPmyF5Rwr+ZosLNv6ARASaPo2H8tVREUypaJz5ZxM2XKJU7cDEixEYeHUaNGX28A5BfxUAw7NVcu4sFR3g+7ScWNH0iVNx49Vf7T6pEiIRFmur6rP1WZ1W7du1fuvPNvp95kjR47E5W6FiJ1za+DYb9BgSpz3vOpSNTebzt6lx8JjrOxaHmcH651OEO8gTQ5ouxHW9YNV3eDGPqg3HpySY0kehz2m06ZORERHML36dFI6W8/UoBCGjhipdt5jxozRu+3Wq1dP74Hy4kmIBKeWUq/8GnLXgmKfxflunBzsGP+RN1f9nzJho6mLuxCv5egC9SfCh7NN02uzq8Ldc1iKsMgwum/tjs9TH2ZUn4FHcg+jQxIxULlyZb2rxNvqetW2HDGl9ilTt3n06FE8RWh94jRipDaOXbNmje5uKYQhVveEyDBo8OM7rxbK5+Gma4zGbThPzYIZeC9L6ngLU1ihIs1NdUYLW8LsKlB/kukyMxYVHcU3u77h6N2jzKwxk9ypZW9La+Hr66s3mhUGjxh5eXmRIoUscRYGOb0MTi+FD8ZBivj51vtlxRwUzpSKXguPExwWGS/3KayYaiDabgvkbwBL25lGL8NDMFfjDo1j3bV1jKo4ivc9/t2cV1guDw8PnJ2lTszwxEi1+1YtwK9fvx6vwQjxn57chVU9oEBDKNQk3u7Wwd6Occ28uf0omDHrLWd6RBhI1Rc1nmEaMTr2h2nj4gfm1zR0/un5LDizgH4l+1Ejaw2jwxFxoOp4+/TpQ5o0aXQiNHTo0DdOpe3Zs4eiRYvq3e3VDhXqZ+o6x44de+k+Dx8+rH+eLFkyypYty/nz5xP1OVndVJr6ZaoC7Bw5cuhf6qtL6h48sJ1W+iIRqZVAq7pDEjv4YHy8N9zLld6V3rXy8v3qs9Qs4EGZnJbd1l4kAvU3WLw1eL5nmlqbWRkaTTWtZDMDa66s4YdDP+jmjZ/k/8TocMxOcEQwVwOuJvrjZk+ZnaQOSWN8/fnz5+smy6qR8t69e2ndurUuZalRo8a/2tGoDd3r1q3L77//rgcv3lSfNHDgQD3IoZbFd+jQgc8//5zdu3e/83Oz2cRIbR57+/ZtRowYQYYMGXQ2KkSCO/EXnFsFH/0Kyd0T5CE+L5edDafv0HvxcdZ1q4irc5xeIsLWZCwCX26HFV3gr8+gdGeoPhQcnAwLaZ/vPgbuHkiDnA30dh/i31RS9NGqjxL9cf+q9xcF0haI8fXVBu1DhgzR/86dOzdTpkxh8+bN/0qMVDKkPo/VJu9qxKhAgQL6s7pdu383vh0+fDiVKlXS/+7Xrx8ffPCBHvBwcXHB1sXpXV8N1ams1dvb8hudCQsRcBvW9IEiHyXot3E7uySMbVaEOpN2MmLNWUY0LpxgjyWsjOqK3XwB7J8BG76BWweh2VxImSnRQzn34BzdtnajlEcpvTGsfHl988iNSlKMeNzYUInRizJmzKhb5bxKTYep676Y3JQsWfI/71Pdn6LuM0uWLNi6OCVG+fLlIzg4OP6jEeJNU2h/dwWnZFBndII/XNa0yelfNz+Dlp+iVkEPKuVJl+CPKayESkDUvmpe78Oi1qaNaNXyfrX/WiK59fgWHTd1JKtbVsZXHo+jnXR6fhM1nRWbkRujvFquohLdV/sHvst9Pkuc3/U+bbr4etSoUfTs2VP3Q7h//76e13zxJES8OjIfLm+GBpMhaeIsS/2sVBYq5Han7+ITBASHJ8pjCiuSuYRpI1qv4vBbU9jyPUQl/GrHhyEPdVKkPvCnVptKMsdkCf6YwnzkzZuXkydPEhoa+vyygwcPGhqTzSRGtWvX1lNp1apVI3369LqHgjqlSpVK+imI+PXwGqwfCO+1hNyJt6JGfYMa3aQIT0Mj+Hbl6UR7XGFF1N5qnyyEaoNg5zhY0BAe30nQQuIuW7oQGBaoGzi6J02YOjxhvj755BM96tO+fXvOnj3L+vXr+eGHH/TPZDo1gafS1FYgQiQ4NayrNu9MmgZqDk/0h/dMlZTB9QvQe/EJahf0oGZB6RQsYknt31ehJ2QqCUvawswK0GQOZK8Qrw8TERVB7+29ufjwIj/X+pksblInYovUxugrV66kY8eOesl+4cKFGTx4sE6YpKg65pJER1vwbohxoKb6UqZMSUBAgP4jEmZs3wxY1xdarYTsFQ0JQb08vph/iOO3HrGheyXSJDdulZGwcGq0SCVH13dD1W+gXPdYb3z8pr/Rb/d+y/JLy5lcdTIVMsVv0mUNzGHHdqP89ttvtGnTRn/mJU0a8xYBtnys4vyq3LlzJ5999pluDKWWAyq//PILu3btis/4hK3yvwSbhkLJ9oYlRc+Gn0d+WJiIqGgGrThlWBzCCqTIAC1XQPkesPk7+OMj055/72j68eksubhErz6TpEgsWLBAfw5fvXpVN3dUzZibN29uEUmRuYhTYrRkyRJq1aqlf9FHjhx5XuilMlLV20iId6KKVJd3ALeMpl4wBkvv5sKwhoVYfcKXlcd9jA5HWDI7e1PN0aeL4dYhmFnR9P84WnRhkU6Mvir2FY1yNYrXUIVl8vPz04MW+fPnp3v37jRr1oxZs2YZHZb1T6UVK1ZM/8Jbtmyp90w7fvy47oJ99OhR6tSpow+MuZKpNAuwa4LpG3WbdZClFOai829H2H3Znw3dK5I+hczXi3cUcMu0pN/nGNQcBqU6xKqb+9YbW+m2rRvN8jRjYKmBUlxr5tMzwnKOVZxGjFQTqYoV/z29oRKOR48exUdcwlbdOQNbR0CZLmaVFCnDGhXCwS4JA5ae0nUdQrwT1fix9RrTdPG6fqYtRUICYnTTY3eP0WdHH6pmrkr/kv0lKRLC6MRIbWJ36dKlf12u5jXVyJEQcRIZDsu+hDQ5oMpAzI0qvFadsDedvcOSI6a6OiHeidoypPYI0zY3V7bBrMrge+KtN7kScEUvy1eNCUdWGIm9mp4TMSJfaMxftBkcozgt11f7rnz99df8/PPP+puKj4+P7mvUq1cvBg0aFP9RCtuger3cOQ3tNoOjeU5VqSX7H77npXsblc2ZVi/pF+KdqW1uMhSEha3gp+pQd6ypd9crI0F3g+7ScWNH3F3c+bHqj7g4mOfrxNw4ODjoz6qHDx/qEgp7e3sZZTPTpOjx48f62KhjZFE1Ruomqsh65MiRBAUF6cucnZ11YjRs2DDMmdQYmSlVZ/FTNVPPlyoDMGeqE3atCTvIncGVBZ+XlDdYEX/CQ0zTaofnQpGPod54cEquf/Q47DFt1rXhYehDfqv7Gx7Jpa9WbEREROhSj7CwMKNDEW+h3k/TpEmjcwqL7GOk/sDUlNqTJ0/0Lr6urq6YO0mMzFBEKMysBPaO8MVmQ3ckj6ntF+7R6ucDfN+oEJ+Vzmp0OMLaHP8LVnWDVFn0xrRhabLTaVMnztw/w/w688mdOrfREVok9XGnOkPLnmDmy97eHrt46O+VaFNpn3/+eYyup6bYYmPq1KmMHTtWr2bz9vZm8uTJb9wR+EV//vkn//vf/2jYsKHu1yAslCq2vn8JvtxuEUmRojaW/aRUFkasOUvF3OnIklb2pBLxyPsjyOgNi1oRNasK3xSqyJHAC8ysMVOSonfwbIrGyGkaYf5ilZbNmzdPbweihiPVXO2bTrHx119/0aNHD4YMGaJ7IqnESPVIunv37ltvd+3aNT11V6GCNDSzaDcPwJ4fTdNnqsbCggyom18XZPdafJyoKOMLBoWVSZ8P2m1hXPZCrHt4ilHJ8lEibWGjoxLC6sVqKq1z58788ccfZM2aVbcYV02k1FzguyhVqhQlSpRgypQp+rwa4sycOTNdu3alX79+r71NZGSkbhegRrBUB26VqL1pxEg1n3xxp2E1labuX6bSzEBYEMwoD0lTw+frwT5OawEMtffyff43ex+D6hWgbfnsRocjrMz80/P54dAP9POowqcH/jQlS83mQxr5WxPCLEaM1JSXr68vffr00RvVqQRDtRpXO/jGpVRJ1SgdPnyY6tWr/39Adnb6vFrl9ibfffcd6dOnp23btv/5GKpAXNUUPTupmIWZUE0cA29D4xkWmRQpZXKmpU25bIxZd47L954YHY6wImuurNFJ0eeFPufTWj/CFxshJNBUj3d2pdHhCWG1Yl3hpCrFVV3Pxo0bOXPmDAULFqRTp05ky5ZNF2HHhr+/vx79yZAhw0uXq/Nv6p6teiXNmTOH2bNnx+gx+vfvr0eHnp1u3rwZqxhFArm6E/ZPh2pDwN2yayb61Mqnl+33XHiciEgp6hTvbp/vPgbuHkj9HPXp9l4304Wq5kjV4eWoCH99BusHmnp/CSHi1TuVfqvRHVXMpkaLVIKT0FR/gxYtWuikyN3dPcaJnJoye/EkDBb6GFZ0gqzlTNsgWLikTvb80MybE7ceMXPHFaPDERbu3INzdNvajZIeJfm23Lcvt4NwSQnNf4Hao2D/DJhb17S1iBDCuMRI1euoOqMaNWqQJ08eTp48qeuDbty4Eevl+iq5UasD7ty589Ll6rzqrv2qy5cv66Lr+vXr64Zd6qR2Ev7777/1v9XPhQXY8A08vQ8Np6rsGmtQPGtq2lfMycRNFzjnF2h0OMJC3X5ym46bOpLVLSvjK4/H0e41e0WpRKl0R9NegoE+MKMCXNpkRLhCWKVYfSqpKbOMGTMyatQo6tWrp6elFi1aRN26dePUd8DJyYnixYuzefPm55ep4mt1vkyZMv+6fr58+XQiduzYseenBg0aUKVKFf1vqR+yAOoN/PA806aZVlZA2r1GbrK7J6fHX8cJi5ApNRE7j0Ie0WFjB1zsXZhabSrJHU2NHd8ocwn4cgd4FYdfm8KW7yEq4UfuhbB2sVqVppKfLFmyUKxYsbd2+126dGmsluu3atWKmTNn6t5FEydOZOHChZw7d07XGrVs2RIvLy9dRP06rVu3fuuqtFdJg0cDBT+EaWUhXV5osSxWO4lbilO3A2g0dTedquSiR408RocjLERwRDBfbPiCm4E3+aXuL3rEKMZUs8Jd42HrcNP0dJM5kOLluk0hRMzFaimQSlLie/uDjz76iHv37jF48GBdcF20aFHWrVv3vCBbTdEZ3QVTxJO1/SDsCTScYpVJkVLIKyVdquZi8pZLVM+fniKZUhkdkjBzEVER9Nneh4sPLzKn5pzYJUWKen+s2Asyl4TFbWFmBWj6M2Qrn1AhC2HV3mlLEEskI0YGObsK/voUGk6DYp9izcIjo2g8bTch4VGs6loeF0fpsiteT739frv3W5ZfWs7kqpOpkOkdG9Y+vgNL2sL13VB1EJTrZjV1fEIkFnnFiISnCq3Vvk956kDRT7B2jvZ2jGtWlBv3g5iw8YLR4QgzNuP4DJZcXMLQskPfPSlS1BRai+VQvjts/hb++BiCHsRHqELYDEmMRMJb3QOiIqD+JKudQntVXo8UdK+Rh1k7r3D4unwwiX9bfGEx045Po2uxrjTK1Sj+7lg1S602GD5dDLcOwMyKcOtQ/N2/EFZOEiORsE4tgTPL4YNxNlcQ2r5iDopmTqUbPwaFRRgdjjAj225uY9i+YXyU9yPaFW6XMA+SuwZ8uRNSeMDPtWHfDDV3lzCPJYQVkcRIJBxV77C6JxRoBIWaYGvs7ZIwrpk3vgEhjFl33uhwhJk4fu84vbf3pkrmKvQv2T/eF7S8JFVmaL0GSraDdX1hUSvTtiJCiDeSxEgkDPXNdOXXYOcAH4zHVuVI50rf2vmYt+caey75Gx2OMNjVgKt02dyF/GnzM6rCKOztEqEw38EJao+E5gvg8laYVQn8Tib84wphoSQxEgnj+B9wYa2prih5WmxZ67LZKJU9Db0Xn+BxiOxtZavuBd3TDRzTuKTRK9BcHFwSN4ACDaH9NnBKDj9VhyMLZGpNiNeQxEjEP7V309q+4P0/yPcBts7OLoneS+1hUBjDV581OhxhgCdhT/RWHxHREcyoPoOUzimNCSRtTmi7Ebw/hr+7wvKOEPbUmFiEMFOSGIn4pb6BrugCTq6mjS6FljlNMgZ+kJ8/D95k6/m7RocjElF4ZDjdtnXD54kP06tPJ6NrRmMDckxqGsltPAvOrIDZ1eCetJUQ4hlJjET8OvQzXNkKDSdDUun6/KJPSmahQm53+i05QUCQTKnZgqjoKAbuHsiRO0eYVHUSeVKb0TYx3h9Bu60QHQWzKsPJxUZHJIRZkMRIxJ8HV2HDICjeBnJVNzoas6NWH41pWoSgsEiGrjxtdDgiEYw/NJ51V9cxssJISniUwOykzwfttpimvFXH7FU9IDzE6KiEMJQkRiJ+qI0sV3Q2FVrXHGZ0NGYrY8qkDK1fkGVHb7PulJ/R4YgEtOD0AuafmU/fkn2pla0WZsvZFT6cBfUmwtFf4eeapi85QtgoSYxE/Ng/w7Q/U6Pp4JzC6GjM2ofveVGjQAYGLjvJ/SehRocjEsDaq2sZe2gsbQq14dP8FrA3oOql9H4baLsBQgJgZiXT/oZC2CBJjMS7879o2pepVEfZ0TuGU2ojGhcmKjqab5af0huJCuux33c/A3YNoF6OenR7rxsWxbMofLkDslcwbfq8fiBESj2csC2SGIl3ExkByzpAykym/ZlEjKRL4cz3jQqz9pQffx/3MTocEU/OPzjP11u/pqRHSb4r+x12SSzwLdYlJXz0K9QaYRoJnvcBBNw2OiohEo0FvmqFWdkzCXyOQKMZ4JTM6GgsygdFMlKvSEYGrzjNnUApeLV0t5/c1r2KsqTIwvjK43G0d8Riqam1Mp2hzVpTX7KZFeDSZqOjEiJRSGIk4s7vFGwdCeW+hsxmuOLGAgxrWAhHezv6Lz0pU2oW7FHII93V2sneiWnVp5HcMTlWIXNJ00a0nsXg1yawZThERRodlRAJShIjETcRYbC8A7jnhsr9jY7GYqVO7sSoDwuz5dxdFh26ZXQ4Ig6CI4LpsqULAaEBzKwxE/ek7lgVtdL0k0VQdSDs/AF+aQxPpEmpsF6SGIm42TEW7p41rUJzcDY6GotWvUAGmhbPxHerznDrYZDR4YhYiIiKoM+OPlx4eIGp1aaS1S0rVsnODir2hpYrTK/7GRXg2m6joxIiQUhiJGLv9hHYOc70RqlWsYh3Nrh+AVK4ONB3yQmiomRKzRKoqc/h+4ez89ZOfqj0A4XTFcbqZa8IHXZC2lwwvz7smmDqYSaEFZHESMSO6oqrVqF5FIIKPY2Oxmq4uTgyukkRdl+6z2/7rxsdjoiBGSdmsPjCYoaUGULFTBWxGSk8TCNH5bvBpqHw5/8g6IHRUQkRbyQxErGzdTg8vAqNZ4Ilr7oxQxXzpOPTUlkYseYcl+89MToc8RZLLixh2rFpdCnahca5G2Nz7B1M7TlU7dHN/aaGkLcOGx2VEPFCEiMRczf2wZ7JUGUApM9vdDRWaUDd/KR3c6bWhB18Mf8gq074EBIuq4DMyfab2xm2bxjN8zSnfZH22LQ8NU2r1lzTw8+1YP9MNcdodFRCvJMk0Ta2RjgwMJCUKVMSEBCAm5ub0eFYjrCnMKM8JHOHz9eBnb3REVmth0/DWHHsNsuP+XDs5iNcnR2oXciDRkW9KJMzLfZ2SYwO0WYdv3ecL9Z/QVnPsrpXkb28Dv5/lerGwbB/OhRoBA0mg4u8vwrLJImRiJk1veHIL9BhF7jnMjoam3HV/6kpSTp6m2v3g0ifwpmGRT1pWNSLgp5uensRkTiuBlyl5dqWZE+ZnVk1ZuHi4GJ0SObn9HJY0cU0gtR8PnjYQEG6sDqSGIn/dmU7LGgAtUdB6Y5GR2OT1Mv0+K0AnSCtPO7D/adh5E7vSqNiXjTw9iRzGuk6npDuBd2jxdoWONs7s6DOAlI6pzQ6JPN1/zIsbAX3L0LdsVCshamTthAWQhIj8XYhgTC9LKTKCq1WmvqZCEOFR0ax65K/TpI2nL5DcHgkJbKl1knSB4UzkiqZk9EhWpUnYU9os74ND4If8GvdX8nomtHokMxfeDCs7QtH5oP3J/DBONkySFgMSYzE2/3dFU4thY67IXU2o6MRr3gaGsGGM34sO+rDrov3dP1R5bzpaVzMi6r50uPiKDUw7yI8MpyOmztyxv8M8+rMI0/qPEaHZFmO/wmrupveO5rNh3Ty+xPmTxIj8WYXNsDvzaDeRHi/jdHRiP9w93EIq4776pokNe2WwtmBOoU99EhS6expsZOi7ViJio6i/87+bLy+UW/1UcJD9gOME9Upe2FLCPSB+pOgcFOjIxLirSQxEq8X/BCmlYH0BeCzJVIjYGFUH6QVR00r2248CMLDzeV50Xb+jCmkaDsGxh0ax/zT8xlbaSy1stUyOhzLFvoEVnWDk4vg/bZQe6RsJSTMliRG4vWWtIML66HTXkjpZXQ0Io7Uy/vIjUd6FEkVbT8MCidvhhQ0LGZKkrxSJTU6RLP0y5lfGHNwDP1K9uPT/J8aHY51UB81h+eaao/UFy61ak2m54UZksRI/NuZv2FhC1N3a++PjY5GxGPR9s6L93Q90sYzfoSER1Eqexo91Va3UEZSJpNO5sq6q+vovaM3bQq1oUfxHkaHY318jsGiVqZR6UYzIF9doyMS4iWSGImXPfWHqaUgcyn4+DeZQrNST0IjWH/Kj+XHbrP7kj8OdnZUyZdOF21XyZceZwfbLNo+4HuADps66Kmz4eWHY5dEVmEmiOBHsKIznFsFZbtCtSGyxZAwG5IYif+n/hTUSNG13dB5v6lJm7B6dwND+Pu4DyuO+XDydgBuLg7ULZxRjySVzJbGZoq2zz84T+t1rSmSrghTqk7BUT6oE/79Zu9U2DQEvN6Hpj/LtL0wC5IYif93YhEs/QKazYOCNrgxpuDS3Se6HmnZ0dvcehiMZ0oXGhT1olExT/J5WO/rxeeJD5+t+Qz3pO7MrT2X5I7JjQ7JdtzYD4vbQEQINPkJclY1OiJh4yQxEiaBvjCtNOSqZvrmJmyaels4fP2hnmpbdcKXR0Hh5PNIoafaGhT1JGNK6ynafhTyiJbrWhIWGaYbOKrkSCSyp/dhaTu4vAUq9YVKfWQ/RmEYSYyEaUj794/A9xh02gfJ0hgdkTAjYRFR7Lhwj2XHbrPpzB3CIqN0XyQ1ilRbFW0ntdwpp5CIENptaMf1wOv8UvcXsrplNTok2xUVBTvHwbYRkL0ifPgTuKYzOiphgyQxEnD0V1Mh5P/+hLx1jI5GmLHHIeGs+6doe8/l+zja21EtX3pdj1Q5bzqLKtqOiIqgx7Ye7PPdx5yacyicTjY8NZu9GZe0hST20GwuZC1rdETCxkhiZOse3YBpZaFAA2g0zehohAXxCwjRvZFUknTaJ1CPHKmibTXd9n7W1GZdtK3e9obtG8bSi0v5seqPVMxU0eiQxIse+8Hiz+HGPqg2GMp+Jfs0ikQjiZGtD13/0si0G3anPeAiO4aLuLl457FOkJYf9eH2o2DdOFJ12lYjSXkypMDczDg+g6nHpvJd2e9onFsWGpilyAjYOhx2jYc8taHRdJnmF4lCEiNbdmA2rOkFLZbJShARL6Kiojn0T9H26hO+BASHUyCjm65HauDthUdKF6ND1KNEQ/YMoUvRLnzp/aXR4Yj/ojrwL20Pzm7QfB54FTc6ImHlJDGyVWqUaEZ5U2frehOMjkZYodCISLafv6eTpE1n7+rO22VzptVbkdQp5EEKl8Qv2t5xawdfbfmKJrmb8E3pb2TPOEua8l/UGnxPQK0RULKdNJ8VCUYSI1sUFQnzPoDHvtBhNzi7Gh2RsHKBqmj7pJ/uj7Tv6n2c7O2oXiADjYp6USlPOpwcEr5+5MS9E7Rd35aynmUZX3k89rIc3LJEhMHGQbB/hqnPWv0fwcVG38NFgpLEyBbtmQwbBkHr1ZCtnNHRCBvjGxDM38d8dJJ0zu8xqZI58sE/RdvFs6ZOkFGcawHXaLG2BdlTZmdWjVm4OBg/pSfi6PRyWNHF1Jm/+QLwKGR0RMLKSGJka+6dhxkVoMQXUHuE0dEIG3fOL1AXbP997DY+ASFkTpOUht6mTtu50sdP0bZ/sL/uau1s78yCOgtI6SyLDKyiFGBhK7h/ET4YB8U+MzoiYUUkMbK1VR5zakDoY+iwExytp3uxsPyi7QPXHujtSFSn7cchERTyctNTbQ28PUnvFrcRnidhT/h8/efcD76vu1pndM0Y77ELg4QHw9o+cGQBFP0U6v4ATsmMjkpYAUmMbMmOsbB1BLTdBJlkZYcwTyHhkWw7f1ePJG05d5eIqCjK5XLXSVKtQh64OjvE6H7CI8PptLkTp/xPMb/OfPKkzpPgsQsDHPsdVvWANNlNU2vuuY2OSFg4SYxshd9JmFUFyn1lapgmhAUICApn7SlfXY+0/+oDXBztqFHAg0ZFPamYJ53uvP06UdFRDNg1gA3XNjCzxkxKeJRI9NhFIrpzBha1gkAfaPAjFGpidETCgkliZCurOWZXMf273RZwcDY6IiFiTTWOVEXby4/e5vydx6RJ7qSLtlUTyfeypHqpaHv8ofHMOz2PMZXGUDtbbUPjFokk9Ams/BpOLTbVUKpl/fJeJ+JAEiNbsHkY7J4I7bZCxiJGRyPEOzvrq4q2b7PimA9+gSFkSZNMjyI1LObF3nvLGX1wNH1L9OWzAlKUa1PUx9mhn2FdP8hQEJrNg9TZjI5KWBhJjKzdrcOmguvK/aFSb6OjESJeRUZFs//qfVYc9WHNSV+CnY6Q1OsPiqduxNiqA0mXQkYMbJLPUdOqtZBH0GgG5KtrdETCgkhiZO2rNmZWBKfkpoJr+5gVrQphiXbd2keXLZ1IHV2cWxcaEhmVhPK50+mRpFoFPUgew6JtYSWCH8LyznB+tWkTWlVbaZ/43daF5ZHEyJqtH2jaD+3LHZA+n9HRCJFgzj84T+t1rSnsXpip1abyNDSaNSf99HSbagOQ1NGemgVNnbbL53Z/Y9G2sDLq423vVNg0BDKVgKY/g5un0VEJMyeJkbW6vgfm1oUa35lWoglhpXyf+OoGjmmTpmVu7bkkd0z+0s9vPQzStUgqSbp49wlpkztRr4ipaLto5peLtoWVurEPFrWByDBoMls2zRZvJYmRta7OmFEOXD2gzRqQPaGElQoIDaDl2paERobqBo7uSd3feF31Vnfmn6Ltv4/7cCcwlGxpk+lNbVWSlN395YRKWJmn/rC0HVzeCpX6QqU+8t4oXksSI2u0uicc/Q067oa0OY2ORogEERIRQrsN7bgeeF1v9ZEtZbZYFW3vu3JfJ0lrT/nxJDQC78ypaFzUk3renri7StG21W6gvXOcqdFtjkrw4U/gms7oqISZkcTI2qhvQ780gjpjoVR7o6MRIkFERkXSY1sP9vru5aeaP1EkXZF36rS96ewd3WlbddxWb4gVcrvrTW1rFMhAMicp2rY6V7bBki/AzgGazoWsZYyOSJgRSYysSUgATCtrao3f8m+wkwJTYX3UW9b3+75nycUl/Fj1Rypmqhhv9/3waRirT/rqkaRD1x+SzMler2hrWNST8rnccZCibesR6AtL2prqj6oPMa1ck3ozIYmRlSVGamnqmRWmKbTUWY2ORogEMfP4TKYcm8J3Zb+jce7GCfY4Nx+oou3bejuSy/ee4u7qRH1vT72yrUimlFK0bS0ba2/9HnZNgDx1oPF0SJra6KiEwSQxshbn18EfH0H9H6F4K6OjESJBLLu4jMF7BtO5aGc6eHdIlMdUb5GnfQJ1gqSKtu89DiWHe/J/irY9yZpWirat4v1z2Zfg4mbqlu0lm2zbMkmMrEHQA5hWGjyKwKeLZDhYWKUdt3bw1Zav+DD3hwwqPciQERtVtL3nsr+uR1p3ypenYZEUy5JK1yOpfdvSStG25Xp4HRa1hjunTPusqf3W5L3UJkliZA0Wt4VLG6HTfnDLaHQ0QsS7E/dO0HZ9W8p4lmFC5QnYm8Ey6+CwSDaevcOKo7fZfuGevqxinnR66X+N/BlI6mR8jCIOG25v+AYOzISCH0KDH8E5hdFRiUQmiZGlO70cFrWCD2dDkeZGRyNEvLsWcI0Wa1uQzS0bs2vOxsXBBXPzQBVtn/DR021HbjwiuSraLuSh65HK5kwrRduW5vQyWNEVUmSA5gtMG9IKm2EWr9apU6eSLVs2XFxcKFWqFAcOHHjjdWfPnk2FChVInTq1PlWvXv2t17dqT+7C6h6Qrx4UbmZ0NELEO/9gfzps6kBql9RMqTbFLJMiJU1yJ1qUycbSTuXY3rsyX1bKybEbj2j58wHKjNrCsFVnOHkrQNcrCQtQsDG03wbq7212NVNfOGEzDB8x+uuvv2jZsiUzZszQSdHEiRNZtGgR58+fJ3369P+6/qeffkq5cuUoW7asTqRGjx7NsmXLOH36NF5eXrYzYqQO21+fwY29pik0aVImrMyTsCd8vv5z7gff55e6v+Dpall7XKm31pO3A/Qo0srjvvg/CSVnuuR6FElNt2VOk8zoEEVMNuJe0xuO/gJFP4O6Y8FJjpu1MzwxUslQiRIlmDJlij4fFRVF5syZ6dq1K/369fvP20dGRuqRI3V7lWC9KjQ0VJ9eTIzU/Vt8YnT8L1jW3jTMW6Ch0dEIEa/CI8PptLkTp/xPMa/2PPKmyYsli4iMYvdlU6ft9af9CAqLpHjW1DpBqlc4I6mTOxkdonibY7/Dqh6QJofpPdc9l9ERCWudSgsLC+Pw4cN6Oux5QHZ2+vzevXtjdB9BQUGEh4eTJk2a1/585MiReoTo2UklRRYv0Mf0LUZNn0lSJKxMVHQUg/YM4vCdw0yqMsnikyJF1RhVypOOCR8V5dA31Zn0cVHcXBwY+vdpSgzfxBfzD7LqhI/uwi3MUNFPoN0W0ya0syrBqaVGRySsdcTIx8dHT3/t2bOHMmX+vyV7nz592L59O/v37//P++jUqRPr16/XU2lqas3qR4zU4fqtKfidgk57IdnrE0IhLNX4Q+OZe3ouYyuOpXb22lgzNb22+oSvnm47dvMRrs4O1P6naLtMzrTY28lycbMS+hhWfg2nlkDJ9lDze3CQFg3WxqI3ARo1ahR//vkn27Zte21SpDg7O+uT1TiyAC5tgk8WSVIkrM6vZ37VSVGfEn2sPilS1Ga1rcpm06er/k91p2013bb48C3Sp3DWW5GoRpIFPd2k07Y5UEv3m8yBrGVhXX+4dcjUEFJ2GrAqhiZG7u7u2Nvbc+fOnZcuV+c9PDzeetsffvhBJ0abNm2iSJG4byBpcQ3I1g+AYi0gT02joxEiXq27to4xB8fQumBrWhRoga3J7p6cbtXz8HW13By/FaATpKVHbjN751Vyp3fV9UgNvD2laNtoKkFVzR893zO1SplZARrPhLx1jI5MWFPxdcmSJZk8efLz4ussWbLQpUuXNxZfjxkzhuHDh+sptNKlS8fq8Sx2VVpUFCxoAA+vQcc9ptb1QliJA74H9LL8mtlqMqL8COySmEUnEcOFR0ax65LqtH2bDafvEBweSYlspqJt1Wk7VTIp2jZU8EPTHpXnV0O5r6HqYLC36IkYYS7L9Vu1asXMmTN1gqSW6y9cuJBz586RIUMGvdJM1SGpImpFLc8fPHgwv//+u162/4yrq6s+WW1itH8WrO0NLVdAjspGRyNEvDn/4Dyt17WmkHshplWbhqO9o9EhmaWnoRFsOOOntyPZefGerj+qnDe93o6kar70uDhKp21DqI/QvVNg4xDIXAqazgE3y2otIcwsMVLUUvuxY8fi5+dH0aJF+fHHH/VIklK5cmXd/HHevHn6vPr39evX/3UfQ4YMYejQodaZGN2/DNPLQbHP4IMfjI5GiHjj+8SXz9Z8RpqkaZhbay6uTv/95UbA3cchrDruq2uS1LRbCmcH6hT20CNJpbOnxU6KthPfjX2wqI1p5VqTnyBnFaMjEpacGCUmi0uMoiJhbh1Tl+uOu8FJdvIW1iEgNICWa1sSGhnKr3V/xT2pu9EhWaQr956w/JiPnm678SAIDzeX50Xb+TOmkKLtxPTUH5Z8AVe2QeV+ULE3mMG+fiJ2JDEyd7snmYZo26yFrP/f0kAISxYSEUK7De24FniNX+r8QraU2YwOyeKpt/KjNx/pBGnlcR8eBoWTN0MKGhYzJUleqZIaHaJtUF9md/wA20aayh7U6FFySfotiSRG5uzuWZhZEUp9aeqXIYQViIyKpMe2Huzx2cOcWnMoks5GVpUmctG2qkNadtSHjWf8CAmPolT2NHqqrW6hjKRMJnVcCU6NGqnRIztHaPqzfLG1IJIYmavIcPipummvni93gKN5bp4pRGyot5vv933PkotLdFfrSpkrGR2S1XsSGsH6U34sP3ab3Zf8cbCzo0q+dLpoWxVvS9F2Agr0hcWfw839UH0olO1qWu4vzJokRuZq22jYPhq+2AhexY2ORoh4MfP4TKYcm8LQMkNpkqeJ0eHYnLuBIaw84aun29QGtylcHPSyfzWSVDJbGinaTgiREbBlGOyeCHnrQqNpkDS10VGJt5DEyBz5HofZVaF8d6j6jdHRCBEvll1cxuA9g+lUtBMdvTsaHY7Nu3T3iV7VprYjufUwGM+ULjQo6kWjYp7k8zDT90ZLdn4tLOtg6kGnNqL1LGZ0ROINJDEyNxGhMKsyJLE3bVroIA3chOXbcWsHX235isa5GzO49GBZKWVG1EfAkRsPdYKk9m1TRdv5PFLoqbYGRT3JmFKKtuN194JFreHOKag1wtRBW14LZkcSI3Oz6VvYMxnabwOPQkZHI8Q7O3nvJG03tKVUxlJMqDwBBzvpDGyuwiKi2HHhHsuO3WbTmTuERUbpvkhqFKm2KtpOKkXb8fLld8MgODATCjWB+pNMe7AJsyGJkTm5eRB+rglVBpj6Xwhh4a4FXNO9irK4ZWF2zdkkdZDRB0vxOCScdaf8WHHMh92X/XG0t6NavvS6Hqly3nQ4O0jR9js5tRT+7gopMkLz+ZChoNERiX9IYmQuwoJMmxG6pITPN8h+O8Li+Qf7667WTvZOLKi9gFQuqYwOScSRX0CI7o2kVrad9gnUI0d1C2fU023vZ00tRdtx5X8JFraEB1fgg3FQ7FOjIxKSGJlRYrSuPxz6Gb7cCenyGB2NEO/kafhT2qxro5Mj1dXa01X2jrIWF+881gmS2rPt9qNg3ThSddpWI0l5MsiUUJy+FKt9MI/+atr2qe4P4Cgjq0aSxMgcXNsN8z4wNXEs28XoaIR4J+GR4XTe3JmT/ieZV3seedPkNTokkQCioqI5dP2hTpJU0XZAcDgFMrrpeqQG3l54pJTea7Fy9DdY3RPS5oRm88E9l9ER2SxJjIwW+gSmlwU3L2i9SvbVERYtKjqKgbsGsu7aOmZUn6ELroX1C42IZPv5ezpJ2nT2ru68XTZnWr0VSZ1CHqRwkaLtGLlzGha2gsd+0HAyFGxsdEQ2SRIjo63qDsf/NG0QmyaH0dEI8U7GHx7P3FNzGVNxDHWy1zE6HGGAQFW0fdJPL//fd/U+TvZ2VC+QgUZFvaiUJx1ODnZGh2jeQh/D31/B6aVQsr1pJsHB2eiobIokRka6tBl+/dA0p1yynbGxCPGOfjv7G6MOjKL3+71pWbCl0eEIM+AbEMzfx1TRtg9nfQNJlcxRd9pWRdvFs6aWflZvoj6WD/4E6wdAhkKmVWupshgdlc2QxMgowY9MU2hpc0GL5WAn36KE5VJTZ32296FlgZb0KtHL6HCEGTrvZyraXnH0Nj4BIWRKnVSPIqmapFzppWj7tW4fgUWtICQQGs+EvLWNjsgmSGJklGUd4dwq6LgHUmU2Lg4h3tFBv4N8ufFLamStwcgKI7FLIkm+eHvR9oFrD/R2JKpoOzAkgkJebjpJauDtSXo3Kdp+SfBDWN4Jzq+Bct2g6iBp55LAJDEywrk18Of/oOFU0/JMISzUhYcXaL22NQXcCzC92nQc7aXIVsSuaHvruXt6U9st5+4SERVFuVzuumi7diEPXJ0lAdDUx/SeH007I2QuBU1/BreMRkdltSQxSmxBD2BqKdMGgp/8JfvkCIvl+8RXN3BMkzQNc2vNxdXJ1eiQhAULCApn7SlfXbS9/+oDXBztqJ4/g65Hqpgnne68bfOu74XFbSAyHJr8BDmrGB2RVZLEKLEtagOXt0Dn/ZDCI/EfX4h4EBAaoLf6CI0M5Zc6v5AuWTqjQxJWRDWO1EXbR29z/s5j0iR30kXbqonke1lS2XbR9pN7sPQLuLIdKvc3bR8lNarxShKjxN4bR2X7TeZA4aaJ+9hCxJOQiBDab2zP1YCrLKizgOwpsxsdkrBiajWbqWjbB7/AELKkSUajop40LOZFznQ2OkoZFQk7xsK2UaZRow9nQ3J3o6OyGpIYJZbHd2BaachewdTV1Ja/8QiLFRkVSY9tPdjjs4efav2Edzpvo0MSNlS0rabY1CjSmpO+PA6NoEimlLpou763J+lS2GCvn8tbYckXYO8EzeZCltJGR2QVJDFKDOpX/OcncPOAaQpNMnthgdRbxfD9w1l0YRGTqkyicubKRockbFRIuCravqvrkbaev0tkVDTlc6fTI0m1CnqQ3JaKtgN9YPHnps+XGt9CmS7yxfsdSWKUGI79Acs7wEe/Qf56ifOYQsSzWSdmMfnoZIaWGUqTPE2MDkcI7VFQGGtO+umRJNUGIKmjPTULmjptl8/tbhtF26oYe8sw2D0J8n4AjaZB0lRGR2WxJDFKaAG3YVoZU2OuD2cl/OMJkQCWXVzG4D2D6eTdiY5FOxodjhCvdethECv+Kdq+ePcJaZM7Ua+IqWi7aGYbKNpWrWDUl3CXVKZu2Wr1s4g1SYwSkvrV/toE7p6BTnshaeqEfTwhEsCOWzv4astXNMrViCFlhlj/h4uweOpj7Ywq2j56m7+P+3AnMJRsaZPp/kgqScrunhyr9fC6qVu22pC29kh4v61MrcWSJEYJ6dBcWNUNPl0MuWsk7GMJkQBO3jtJ2w1tKZWxFBMqT8DBzoZqN4RVUPVH+67c10nS2lN+PAmNwDtzKhoX9aSetyfurlZYtB0RCusHwsHZUKgp1J8IzrLtSkxJYpRQHl6DaWVNy/Ib/JhwjyNEArkeeJ0Wa1qQxS0Ls2vOJqlDUqNDEuKdi7Y3nzUVbW87fxf14Vcht7tuIlmjQAaSOVlZ4n9qCfz9FaTICM0XQIYCRkdkESQxSghRUTC/Pjy6AZ32SKYuLI5/sL/uau1o56gbOKZSNQtCWJGHT8NYfdJXjyQduv6QZE72ekVbw6KelM/ljoO1FG37X4SFreDBFag3Hop+YnREZk8So4Swbzqs6wetVkL2ignzGEIkkKfhT2mzrg33gu/xa91f8XL1MjokIRLUzQeqaPu2Hkm6fO8p7q6qaNtTjySpXkkWX1cXFgRresOxX6FYC6g7FhxlBPhNJDFKiOx8Rnl4rxXUHRP/9y9EAgqPDKfLli4cv3ecebXnkS9NPqNDEiLRqI/D0z6BOkFSRdv3HoeSwz35P0XbnmRNa+FF20d/hdW9IG1O09Sa+r/4F0mM4rtN+8+1TBvFdtgFTsni9/6FSEDqrWDgroGsvbaWGdVn6IJrIWy5aHvPZX+WH/Vh3SlfnoZFUixLKj2KpPZtS2upRdtqtdrClqbdGBpOhoKNjY7I7EhiFJ92TYDN30GbdZBFPlSEZZlweAI/n/qZMRXHUCd7HaPDEcJsBIdFsunsHV2PtP3CPX1ZxTzp9NL/GvkzkNTJHosSEggrv4LTy6Dkl1Dze3BwMjoqsyGJUXxm4bMqQ6kOUHNY/N2vEIngt7O/MerAKHq934tWBVsZHY4QZuuBKto+4aOn247ceERyVbRdyEN32i6bM63lFG2rj/6DP8G6/pCxCDSbB6myGB2VWZDEKL7asc+uavp/+23g6BI/9ytEIlh/bT29t/emRYEW9C7R2+hwhLAY1+8/fd5p+4r/U72RbQNvT50kFfJys4yi7duHYVFr0yiS2p0hTy1snSRG8WHrSNgxFtptlhbswqIc9DvIlxu/pHrW6oyqMAq7JBbybVcIM6I+Rk/eDtCjSCuP++L/JJSc6ZLrBElNt2VOY+b1psEPYVlHuLAWyneHKt+AvZX1dIoFSYzelc9R+Kk6VOgJVQbER4hCJIoLDy/Qem1rCqQtwLTq03CylxoDId5VRGQUuy/fZ8XR26w77UdQWCTFs6bWCVK9whlJndxMX2eq/97eybDpW8hSGpr+DCk8sEWSGL1r2/WZlcDeEdptMf1fCAvg99SPT9d8Smrn1HpZvquTq9EhCWF1gsIi2HjGVLS946I/amKtcl5T0Xb1/BlwcTTDou3re2Dx5xAVAU3mQI5K2BpJjN7FxiGwb5qprihDwfgKUYgEFRAaQKu1rQiOCNYNHNMlS2d0SEJYPTW9tvqEr55uO3bzEa7ODtT+p2i7TM602NuZUT3Sk3uw9Au4ugMq94cKvcDOdqbZJTGKqxv7YW5tqDoIKvSIzxCFSDAhESG6puhywGW91Uf2lNmNDkkIm3PVXxVt39YjSdfuB5H+WdF2MS8KeppJ0XZUpKl2dtsoyFnVVJid3B1bIIlRXNurq+7WydKYehbZcJGasByRUZH03N6T3bd3601hi6YvanRIQtg09fF7/FaATpBWHvfh/tMwcqd31QmSSpTMomj78hZY8gXYO5uW9NtAjz5JjOJibV84PM/U3do9d3yHKES8Uy/z4fuHs+jCIiZWnkiVLFWMDkkI8YLwyCh2XfLXRdvrT98hODySEtlMRduq03aqZAYWbQf6wKI2cPsQVP8WynQGcxjVSiCSGMWWmnOdXx9qjYQynRIiRCHi3ewTs/nx6I8MKTOEpnmaGh2OEOItnoZGsOGMn96OZOfFe7r+qHLe9Ho7kqr50htTtB0ZbtrZYc+PkK8eNJwKSVNhjSQxio3QxzCtrKk7aKuVNlWMJizX8kvLGbR7EB29O9KpqCTzQlgStZHtqhOmJpJq2i2FswN1CnvokaTS2dNil9hF2+fWwPIO4JIKms+3yt59khjFxt9fwcnF0HE3pJGiVWH+dt7aSdctXWmUq5EeLTKLok4hRJxcufeE5f902r7xIAgPNxcaFvWkYVEv8mdMkXiv74fXYGEruHsGao+C9z+3qqk1SYxi6uIm+K0JfDAeSrRNyBCFiBen/E/x+frPKeVRiglVJuBgJ4sEhLAG6mP76M1HOkFadcJX79+WN0MKGhYzJUleqZImfBARobB+gGm/tcLNoN5EcLaOfmiSGMW0Xfq0MpAuH7RYZlWZsbBONwJv0GJtCzKlyMRPNX8iqUMivFEKIQwp2lZ1SKoeSdUlhYRHUSp7Gj3VVrdQRlImS+DGwycXw8qvwc0Tmi+A9PmxdJIYxcTSL+H8Gui0F1JmSugQhXgn/sH+tFjTQo8QLaizgNQuqY0OSQiRCJ6oou3TfrqJ5O5L/jjY2VElXzpdtK2KtxOsaNv/IixsaZpiqzcBvD/Gkkli9F/OroK/PoWG06DYp4kRohBxFhQeRJv1bbgbdFd3tfZy9TI6JCGEAe4GhrDyhK+eblMb3KZwcdDL/tVIUslsaeK/aDssCNb0gmO/wXstoc4YcLTMkWpJjN7mqT9MKw1e78P//pApNGHWwqPC6bq5K8fuHdP7n+VLk8/okIQQZuDS3Se607YaSbr1MBjPlC40KOpFo2Ke5POIh83UX3TkF1OClDa3adVa2pxYGkmM3kT9Wha1MvUt6rQfUmRIzDCFiBX1Mv5m9zesubqG6dWnUzpjaaNDEkKY4fvEkRsPdYKk9m17GBROPo8UehRJrW7LmDKeRnj8Tpmm1p7chUZToUBDLIkkRm8rKFvSFprOhUIfJmaIQsTaxMMTmXNqDqMrjKZujrpGhyOEMHNhEVHsuHCP5cdus/HMHcIio3RfpEbFPKmtiraTvmPRdkgg/N0VziyHUh2hxnfgYGD37liQxOh1HvvB1FKQs4ppbxghzNjvZ39n5IGR9Hq/F60KtjI6HCGEhXkcEs66U36sOObD7sv+ONrbUS1fej2SVDlvOpwd4li0rdKLA7NNy/ozeps+T1NlxtxJYvQq9ev442O4fQQ67YPkaY0IU4gY2XBtA7229+KzAp/Rp0Qfo8MRQlg4v4AQvaGtGkk67ROoR47qqqLtop6UiGvR9q3DsKg1hD2GxjMhTy3MmSRGrzr6G6zoBB//AflkSkKYr0N+h/hy45dUy1KNURVHYZdEtqgRQsSfi3ce6wRJ9Ui6/ShYN45UtUhqJClPhhSxu7OgB7C8I1xYB+V7QJWBYG+eTWclMXpRwC1TI0e1QV7j6UaFKMR/uvjwIq3WtiJ/2vy62NrJ3jLm7oUQlicqKprDLxRtBwSHUyCjm65HauDthUdKl5jekWkTWrUZbZYy0HQOpPDA3Ehi9Iz6NfzSGO6dNzVytNJdg4Xl83vqx6drPiWVcyq9LD+FUyy/uQkhRByFRkSy/bypaHvT2bu683bZnGn1ViR1CnmQwiUGRdvXdsPizyE6ypQcZa+IOZHE6JmDc2B1D/hsKeSqZmSIQrxRQGiAHikKjgjml7q/kD5ZeqNDEkLYqEBVtH3STydJe6/cx8nejuoFMtCoqBeV8qTDyeEt0/tP7plWfl/bCZUHQIWeYGce5QCSGCkPrsD08lCkOdSfaHSIQrxWaGQo7Te053LAZb3VR46UOYwOSQghNN+AYF20veyoD2d9A0mVzFF32lbbkRTPmpokr2uQHBUJ20fD9jGmAYnGs8xiwZMkRurAzKsHgbeh425wlmkJYX4ioyL16rOdt3fqTWGLpi9qdEhCCPFa5/1MRdsrjt7GJyCETKmT6lEkVZOUK/1rPmMvbYal7cDBxbSkP3NJjCSJ0Z4psGEgtF4N2cobHZ4Q/6JeoiP2j2DhhYVMrDyRKlmqGB2SEELEqGj74LUHOklSRduBIREU8nLTSVIDb0/Su71QtB1w21R3dPuQqRlk6U6GbcNl24lRqC/MqAAl2kLtkUaHJsRr/XTyJyYdmcTgMoNplqeZ0eEIIUScira3nrunN7Xdcu4uEVFRlMvlrou2axfywNXZASLDYfO3sGeyaXV4w6mGLISy3cTowX3cFjWB0EDosMtidwEW1m3FpRV6D7QO3h3oXLSz0eEIIcQ7CwgKZ+0pXz2StO/KA1wc7aieP4OuR6qYJx2OF9fCso6QLDU0mw+eiVs6YBYl4FOnTiVbtmy4uLhQqlQpDhw48NbrL1q0iHz58unrFy5cmDVr1sT+QfdNA99j0GiGJEXCLO26vYshe4bQJHcTOnl3MjocIYSIFymTOfJxySz82b4Me/pVpVv1PFy6+4S28w9RasRmBp3Lysn6K4l2SQVzasKhn00tdWxlxOivv/6iZcuWzJgxQydFEydO1InP+fPnSZ/+30uR9+zZQ8WKFRk5ciT16tXj999/Z/To0Rw5coRChQrFfMSof2rcqn4F1Ycm0DMTIu5O+Z/i8/WfU9KjJBOrTMTBzjw7xAohRHxRq9lMRds++AWGkCu1Az+kXEhRv8VQuDnUmwDOrlh9YqSSoRIlSjBlyhR9PioqisyZM9O1a1f69ev3r+t/9NFHPH36lFWrVj2/rHTp0hQtWlQnVzFNjC6MK06KtkvAwTmen5EQ7+Z+8H06be5EJtdMzK45m2SOyYwOSQghErVoe//VB7oeac1JX6qE72C000+EJPckde+jCf74hn4NDQsL4/Dhw/Tv3//5ZXZ2dlSvXp29e/e+9jbq8h49erx0Wa1atVi+fPlrrx8aGqpPz6iia6VeksfY/1Ennp6JEPErS4osjCgxgojgCAKDA40ORwghElXBdI4UrJmNnlUys/NCdoYeyk/z28PJHRhIihQpXt8XyRoSI39/fyIjI8mQIcNLl6vz586de+1t/Pz8Xnt9dfnrqCm3b7/99l+XX+hx4Z1iFyIhneUs2chmdBhCCGE2xqj/jE7J3bt3SZcuXYI9jtUXLqjRqBdHmB49ekTWrFm5ceOGnlKzFWoKUU1R3rx589+b51oxed7yvG2BPG953rb0vJ2cEnbTbEMTI3d3d+zt7blz585Ll6vzHh6v33FXXR6b6zs7O+vTq1RSZEt/UM+o5yzP23bI87Yt8rxti60+7yQJ3PjR0OX6KusrXrw4mzdvfn6ZKr5W58uUKfPa26jLX7y+snHjxjdeXwghhBDCYqbS1DRXq1ateP/99ylZsqRerq9WnbVp00b/XC3l9/Ly0rVCytdff02lSpUYN24cH3zwAX/++SeHDh1i1qxZBj8TIYQQQlg6wxMjtfz+3r17DB48WBdQq2X369ate15grWqB1Eq1Z8qWLat7F33zzTcMGDCA3Llz6xVpMelhpKhptSFDhrx2es2ayfOW520L5HnL87YF8rydrbuPkRBCCCGEuTCLLUGEEEIIIcyBJEZCCCGEEP+QxEgIIYQQ4h+SGAkhhBBCWHNiNHXqVLJly4aLi4vepPbAgQNvvf6iRYvIly+fvn7hwoVZs2YNlkS1MlAb8ar9Y9KnT0+jRo04f/78W28zb9483STrxZN6/pZk6NCh/3oO6jha87FW1N/2q89bnTp37mxVx3rHjh3Ur18fT09PHfOr+yGqdSNqNWvGjBlJmjSp3mPx4sWL8f7+YE7POzw8nL59++q/3eTJk+vrqJYmPj4+8f5aMbfj3bp16389h9q1a1v18VZe91pXp7Fjx1r08R4Zg8+tkJAQ/b6WNm1aXF1dadKkyb8aPL8qru8LVp0Y/fXXX7o3klrSd+TIEby9vfUms2pvldfZs2cP//vf/2jbti1Hjx7VB0edTp06haXYvn27/uPZt2+fbnap3jxr1qyp+0G9jeqY6uvr+/x0/fp1LE3BggVfeg67du1643Wt4VgrBw8efOk5q2OuNGvWzKqOtfr7Va9f9cH2OmPGjOHHH39kxowZ7N+/XycK6rWu3kzj6/3B3J53UFCQjnvQoEH6/0uXLtUfJg0aNIjX14o5Hm9FJUIvPoc//vjjrfdp6cdbefH5qtPPP/+sEx2VJFjy8d4eg8+t7t27s3LlSv2FVl1ffQH48MMP33q/cXlf+JdoK1OyZMnozp07Pz8fGRkZ7enpGT1y5MjXXr958+bRH3zwwUuXlSpVKvrLL7+MtlR3795VLRiit2/f/sbrzJ07NzplypTRlmzIkCHR3t7eMb6+NR5r5euvv47OmTNndFRUlNUea/X3vGzZsufn1XP18PCIHjt27PPLHj16FO3s7Bz9xx9/xNv7g7k979c5cOCAvt7169fj7bVijs+7VatW0Q0bNozV/Vjj8Va/g6pVq771OpZ2vF/3uaVez46OjtGLFi2Kfubs2bP6Onv37o1+nbi+L7zKqkaMwsLCOHz4sB46e0Y1h1Tn9+7d+9rbqMtfvL6isss3Xd8SBAQE6P+nSZPmrdd78uSJ3lBXbcrXsGFDTp8+jaVRQ6RqCDpHjhx8+umnuiHom1jjsVZ/87/++iuff/75W/cPsoZj/aKrV6/qhrAvHk+1/6GaKnnT8YzL+4OlvN7VsU+VKlW8vVbM1bZt2/S0S968eenYsSP3799/43Wt8XiraaTVq1frUe//YmnHO+CVzy117NQo0ovHT00HZsmS5Y3HLy7vC69jVYmRv78/kZGRz7tmP6POq1/W66jLY3N9c6f2muvWrRvlypV7azdw9caihmRXrFihP1jV7VRX8Vu3bmEp1B+7qp9RndKnT5+uXxQVKlTg8ePHNnGsFVWP8OjRI11/Yc3H+lXPjllsjmdc3h/MnZoeUDVHaor4bZuJxva1Yo7UNNqCBQv0XpmjR4/WUyt16tTRx9RWjvf8+fN1Tc5/TSdZ2vGOes3nljpGaj/VVxP+//o8f3admN7GLLcEEfFLzdmqmpn/mk9Wm+6+uPGu+qDMnz8/M2fOZNiwYVgC9ab4TJEiRfSbgRoVWbhwYYy+UVmDOXPm6N+D+mZozcda/Jv6Nt28eXNdbKo+/Kz9tfLxxx8//7cqPlfPI2fOnHoUqVq1atgC9QVHjf781+IJSzvenWP4uZVYrGrEyN3dHXt7+39VravzHh4er72Nujw21zdnXbp0YdWqVWzdupVMmTLF6raOjo4UK1aMS5cuYanUN4s8efK88TlY07FWVAH1pk2b+OKLL2zuWD87ZrE5nnF5fzD3pEj9DajC1beNFsXltWIJ1BSROqZveg7WdLyVnTt36kL72L7ezf14d3nD55Y6Rmo6VI2Ix+bz/Nl1Ynobq0+M1LBb8eLF9VDri0N06vyL35hfpC5/8fqKeqN50/XNkfrGqP64li1bxpYtW8iePXus70MNOZ88eVIvcbRUqo7m8uXLb3wO1nCsXzR37lxdb/HBBx/Y3LFWf+Pqje7F4xkYGKhXobzpeMbl/cGckyJVQ6ISY7WUOb5fK5ZATQWrGqM3PQdrOd4vjg6r56NWsFnD8Y7+j88t9VzVl7gXj59KDFWt1JuOX1zeF94UnFX5888/dQX6vHnzos+cORPdvn376FSpUkX7+fnpn7do0SK6X79+z6+/e/fuaAcHh+gffvhBV7yran5VCX/y5MloS9GxY0e96mjbtm3Rvr6+z09BQUHPr/Pq8/7222+j169fH3358uXow4cPR3/88cfRLi4u0adPn462FD179tTP+erVq/o4Vq9ePdrd3V2vbrDWY/3i6posWbJE9+3b918/s5Zj/fjx4+ijR4/qk3qrGj9+vP73s9VXo0aN0q/tFStWRJ84cUKv1smePXt0cHDw8/tQq3cmT54c4/cHc3/eYWFh0Q0aNIjOlClT9LFjx156vYeGhr7xef/Xa8Xcn7f6Wa9evfRqJPUcNm3aFP3ee+9F586dOzokJMRqj/czAQEB0cmSJYuePn36a+/DEo93xxh8bnXo0EG/z23ZsiX60KFD0WXKlNGnF+XNmzd66dKlz8/H5H3hv1hdYqSoPxD1y3RyctLLNfft2/f8Z5UqVdLLPl+0cOHC6Dx58ujrFyxYMHr16tXRlkS9mF53Usu03/S8u3Xr9vx3lCFDhui6detGHzlyJNqSfPTRR9EZM2bUz8HLy0ufv3TpklUf62dUoqOO8fnz5//1M2s51lu3bn3t3/Wz56aW5g4aNEg/J/XhV61atX/9PrJmzaoT4Ji+P5j781YfdG96vavbvel5/9drxdyft/qwrFmzZnS6dOn0lxn1/Nq1a/evBMfajvczM2fOjE6aNKleev46lni8icHnlkpmOnXqFJ06dWqdGDZu3FgnT6/ez4u3icn7wn9J8s8dCyGEEELYPKuqMRJCCCGEeBeSGAkhhBBC/EMSIyGEEEKIf0hiJIQQQgjxD0mMhBBCCCH+IYmREEIIIcQ/JDESQgghhPiHJEZCCCGEEP+QxEgIkShat25No0aNsCSVK1emW7duRochhEhEDon5YEII2zVp0iS9caQQQpgzSYyEEIkiZcqURocghBD/SabShBBERUUxcuRIsmfPTtKkSfH29mbx4sX6Z9u2bSNJkiRs3ryZ999/n2TJklG2bFnOnz//0n18//33pE+fnhQpUvDFF1/Qr18/ihYt+sapNDVN9dVXX9GnTx/SpEmDh4cHQ4cOfek+Hz16pO8rXbp0uLm5UbVqVY4fP/6fz+fChQs65nPnzr10+YQJE8iZM+fz89u3b6dkyZI4OzuTMWNGHXNERMQb71fd5/Lly1+6LFWqVMybN0//+9q1a/o6CxcupEKFCvp3WaJECR3PwYMH9e/P1dWVOnXqcO/evZfu56effiJ//vy4uLiQL18+pk2b9p/PUwgR/yQxEkLopGjBggXMmDGD06dP0717dz777DOdODwzcOBAxo0bx6FDh3BwcODzzz9//rPffvuN4cOHM3r0aA4fPkyWLFmYPn36fz7u/PnzSZ48Ofv372fMmDF89913bNy48fnPmzVrxt27d1m7dq2+3/fee49q1arx4MGDt95vnjx5dBKi4nqROv/JJ5/of9++fZu6devqxEUlWyreOXPm6ATvXQ0ZMoRvvvmGI0eO6N+VekyVAKrpxJ07d3Lp0iUGDx78UlzqvPodnj17lhEjRjBo0CD9+xFCJLJoIYRNCwkJiU6WLFn0nj17Xrq8bdu20f/73/+it27dqgqDojdt2vT8Z6tXr9aXBQcH6/OlSpWK7ty580u3L1euXLS3t/fz861atYpu2LDh8/OVKlWKLl++/Eu3KVGiRHTfvn31v3fu3Bnt5uam43tRzpw5o2fOnPmfz2vChAn6us+cP39ex3z27Fl9fsCAAdF58+aNjoqKen6dqVOnRru6ukZHRkY+j/Hrr79+/nN1+2XLlr30OClTpoyeO3eu/vfVq1f1dX766afnP//jjz/0ZZs3b35+2ciRI/Vjv/icfv/995fud9iwYdFlypT5z+cphIhfMmIkhI1ToxdBQUHUqFFDT/M8O6kRpMuXLz+/XpEiRZ7/W007KWo0R1HTampK6kWvnn+dF+/z2f0+u081ivPkyRPSpk37UlxXr159Ka43+fjjj/XU1r59+56PyqgRJzVNpaiRmTJlyuipr2fKlSunH/PWrVv/ef8xfV4ZMmTQ/y9cuPBLlz17nk+fPtXPp23bti89TzVyFZPnKYSIX1J8LYSNU4mAsnr1ary8vF76maq9efbh7Ojo+PzyZ8mEqk16Fy/e57P7fXafKi6VKKkap1epup7/omqWVE3S77//TunSpfX/O3bs+E7xqvheXVkXHh7+r+u97nf16mUvPk9l9uzZlCpV6qX7sbe3f6d4hRCxJ4mREDauQIECOgG6ceMGlSpV+tfPYzJqkTdvXl1c3LJly+eXqfPvQo3u+Pn56RqdbNmyxek+Pv30U13b87///Y8rV67oUaRnVKHzkiVLdKLzLHnZvXu3Lh7PlCnTa+9PFYH7+vo+P3/x4kU92vYu1OiRp6enjk/FK4QwliRGQtg4lQj06tVLF1yrUYzy5csTEBCgkwS1Eixr1qz/eR9du3alXbt2uuBZrVj766+/OHHiBDly5IhzXNWrV9dTXWolmyrMVgXVPj4+emSrcePG+rH+y4cffqhHidSpSpUqOgF5plOnTkycOFHH3qVLFz0dqIqme/TogZ3d66sM1AjUlClTdFyRkZH07dv3X6NecfHtt9/qFXqqpUHt2rUJDQ3VRe4PHz7U8QghEo8kRkIIhg0bpkdD1Oo0NXKhpqrUiM2AAQNiNF2mRjrU7VSCFRISQvPmzfXy/AMHDsQ5JjWKs2bNGr0ark2bNnp5u5oeq1ix4vO6nZgkffXr19fL53/++eeXfqamDdX99+7dW7cnUC0DVJ2PWk32JmpVnopFLcVXSZZaZaZWy70r1ZJAtUEYO3asjket1FM1SdJ1W4jEl0RVYBvwuEIIK6eKuVUi88svvxgdihBCxJiMGAkh3pmqs1E9kGrVqqULhv/44w82bdr0Uk8iIYSwBLJcXwjxzp5Ne6lpruLFi7Ny5Upd2KzqhBJKwYIFX1re/uLp1caOQggRUzKVJoSwSNevX3/tUnlF1SCp+iIhhIgtSYyEEEIIIf4hU2lCCCGEEP+QxEgIIYQQ4h+SGAkhhBBC/EMSIyGEEEKIf0hiJIQQQgjxD0mMhBBCCCH+IYmREEIIIQQm/wdPtfvI17NikQAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -785,7 +785,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -824,7 +824,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -850,7 +850,7 @@
        " \tOR aggregation function  : fmax]"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -881,7 +881,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1019,7 +1019,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1039,7 +1039,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1071,109 +1071,109 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>14122</th>\n",
-       "      <td>35124</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>5.7</td>\n",
-       "      <td>1083.035198</td>\n",
+       "      <th>3329</th>\n",
+       "      <td>188</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>99.900555</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5666</th>\n",
-       "      <td>26657</td>\n",
+       "      <th>15830</th>\n",
+       "      <td>16621</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>99.815314</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3384</th>\n",
+       "      <td>3293</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>5.7</td>\n",
+       "      <td>99.970383</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1672</th>\n",
+       "      <td>59464</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>1065.244754</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10342</th>\n",
+       "      <td>8500</td>\n",
+       "      <td>2006</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>99.839062</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11936</th>\n",
+       "      <td>5018</td>\n",
        "      <td>2011</td>\n",
        "      <td>1.8</td>\n",
        "      <td>99.933398</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>13023</th>\n",
-       "      <td>4200</td>\n",
-       "      <td>2001</td>\n",
-       "      <td>1.6</td>\n",
-       "      <td>99.704172</td>\n",
+       "      <th>15103</th>\n",
+       "      <td>21012</td>\n",
+       "      <td>2012</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>99.947365</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1838</th>\n",
-       "      <td>15530</td>\n",
+       "      <th>4720</th>\n",
+       "      <td>1568</td>\n",
        "      <td>2016</td>\n",
-       "      <td>2.0</td>\n",
+       "      <td>3.5</td>\n",
        "      <td>1065.244754</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3112</th>\n",
-       "      <td>32302</td>\n",
-       "      <td>2013</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>99.959694</td>\n",
+       "      <th>9631</th>\n",
+       "      <td>34811</td>\n",
+       "      <td>2012</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>99.947365</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9204</th>\n",
-       "      <td>5959</td>\n",
-       "      <td>2015</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>99.979430</td>\n",
+       "      <th>6122</th>\n",
+       "      <td>21181</td>\n",
+       "      <td>2012</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>99.947365</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3100</th>\n",
+       "      <th>3261</th>\n",
+       "      <td>23521</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>99.970383</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12788</th>\n",
+       "      <td>10349</td>\n",
+       "      <td>2009</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>99.900555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11298</th>\n",
+       "      <td>76029</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>1065.244754</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5113</th>\n",
+       "      <td>17562</td>\n",
+       "      <td>2012</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>99.947365</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12635</th>\n",
        "      <td>22580</td>\n",
-       "      <td>2017</td>\n",
+       "      <td>2016</td>\n",
        "      <td>2.0</td>\n",
-       "      <td>954.577176</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12754</th>\n",
-       "      <td>9408</td>\n",
-       "      <td>2012</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>99.947365</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14803</th>\n",
-       "      <td>6586</td>\n",
-       "      <td>2018</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>848.532066</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4756</th>\n",
-       "      <td>6586</td>\n",
-       "      <td>1999</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>99.638970</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9505</th>\n",
-       "      <td>20385</td>\n",
-       "      <td>2012</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>99.947365</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17586</th>\n",
-       "      <td>40769</td>\n",
-       "      <td>2008</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>99.881685</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13728</th>\n",
-       "      <td>8154</td>\n",
-       "      <td>2003</td>\n",
-       "      <td>1.5</td>\n",
-       "      <td>99.762966</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>944</th>\n",
-       "      <td>10036</td>\n",
-       "      <td>2002</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>99.734373</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18262</th>\n",
-       "      <td>251</td>\n",
-       "      <td>2019</td>\n",
-       "      <td>2.5</td>\n",
-       "      <td>831.412760</td>\n",
+       "      <td>1065.244754</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1181,24 +1181,24 @@
       ],
       "text/plain": [
        "       Price  Prodyear  Engine volume    PricePred\n",
-       "14122  35124      2019            5.7  1083.035198\n",
-       "5666   26657      2011            1.8    99.933398\n",
-       "13023   4200      2001            1.6    99.704172\n",
-       "1838   15530      2016            2.0  1065.244754\n",
-       "3112   32302      2013            2.5    99.959694\n",
-       "9204    5959      2015            2.5    99.979430\n",
-       "3100   22580      2017            2.0   954.577176\n",
-       "12754   9408      2012            3.0    99.947365\n",
-       "14803   6586      2018            2.5   848.532066\n",
-       "4756    6586      1999            2.0    99.638970\n",
-       "9505   20385      2012            2.5    99.947365\n",
-       "17586  40769      2008            3.0    99.881685\n",
-       "13728   8154      2003            1.5    99.762966\n",
-       "944    10036      2002            2.0    99.734373\n",
-       "18262    251      2019            2.5   831.412760"
+       "3329     188      2009            2.5    99.900555\n",
+       "15830  16621      2005            2.4    99.815314\n",
+       "3384    3293      2014            5.7    99.970383\n",
+       "1672   59464      2016            2.2  1065.244754\n",
+       "10342   8500      2006            1.5    99.839062\n",
+       "11936   5018      2011            1.8    99.933398\n",
+       "15103  21012      2012            2.5    99.947365\n",
+       "4720    1568      2016            3.5  1065.244754\n",
+       "9631   34811      2012            3.0    99.947365\n",
+       "6122   21181      2012            2.0    99.947365\n",
+       "3261   23521      2014            2.5    99.970383\n",
+       "12788  10349      2009            1.8    99.900555\n",
+       "11298  76029      2016            2.3  1065.244754\n",
+       "5113   17562      2012            1.8    99.947365\n",
+       "12635  22580      2016            2.0  1065.244754"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1220,7 +1220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1252,39 +1252,39 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>9398</th>\n",
-       "      <td>3293</td>\n",
+       "      <th>13393</th>\n",
+       "      <td>3763</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>106524.475413</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4751</th>\n",
+       "      <td>470</td>\n",
+       "      <td>2011</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>9993.339772</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11945</th>\n",
+       "      <td>706</td>\n",
        "      <td>2010</td>\n",
-       "      <td>1.8</td>\n",
+       "      <td>1.3</td>\n",
        "      <td>9991.779367</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7548</th>\n",
-       "      <td>8154</td>\n",
-       "      <td>2008</td>\n",
-       "      <td>3.3</td>\n",
-       "      <td>9988.168542</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3040</th>\n",
-       "      <td>25089</td>\n",
-       "      <td>2013</td>\n",
-       "      <td>1.8</td>\n",
-       "      <td>9995.969432</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3395</th>\n",
-       "      <td>17346</td>\n",
-       "      <td>2012</td>\n",
-       "      <td>1.6</td>\n",
-       "      <td>9994.736527</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6379</th>\n",
-       "      <td>65052</td>\n",
-       "      <td>2018</td>\n",
+       "      <th>5150</th>\n",
+       "      <td>470</td>\n",
+       "      <td>2019</td>\n",
        "      <td>2.0</td>\n",
-       "      <td>80674.546145</td>\n",
+       "      <td>77990.662719</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10864</th>\n",
+       "      <td>5488</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>9997.038307</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1294,58 +1294,58 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5180</th>\n",
-       "      <td>7056</td>\n",
-       "      <td>2010</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>9991.779367</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9497</th>\n",
-       "      <td>28225</td>\n",
-       "      <td>2011</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>9993.339772</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13141</th>\n",
-       "      <td>11917</td>\n",
-       "      <td>2003</td>\n",
-       "      <td>2.4</td>\n",
-       "      <td>9976.296566</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17474</th>\n",
-       "      <td>28225</td>\n",
-       "      <td>2013</td>\n",
-       "      <td>1.8</td>\n",
-       "      <td>9995.969432</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2493</th>\n",
-       "      <td>3136</td>\n",
+       "      <th>5343</th>\n",
+       "      <td>7840</td>\n",
        "      <td>1998</td>\n",
        "      <td>2.8</td>\n",
        "      <td>9960.397848</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9938</th>\n",
+       "      <td>19444</td>\n",
+       "      <td>2013</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>9995.969432</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6576</th>\n",
+       "      <td>26343</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>103432.672018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12789</th>\n",
+       "      <td>39750</td>\n",
+       "      <td>2017</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>90913.773797</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5395</th>\n",
+       "      <td>18189</td>\n",
+       "      <td>2012</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>9994.736527</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>3848 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "       Price  Prodyear  Engine volume     PricePred\n",
-       "9398    3293      2010            1.8   9991.779367\n",
-       "7548    8154      2008            3.3   9988.168542\n",
-       "3040   25089      2013            1.8   9995.969432\n",
-       "3395   17346      2012            1.6   9994.736527\n",
-       "6379   65052      2018            2.0  80674.546145\n",
-       "...      ...       ...            ...           ...\n",
-       "5180    7056      2010            2.0   9991.779367\n",
-       "9497   28225      2011            2.0   9993.339772\n",
-       "13141  11917      2003            2.4   9976.296566\n",
-       "17474  28225      2013            1.8   9995.969432\n",
-       "2493    3136      1998            2.8   9960.397848\n",
+       "       Price  Prodyear  Engine volume      PricePred\n",
+       "13393   3763      2016            2.0  106524.475413\n",
+       "4751     470      2011            2.4    9993.339772\n",
+       "11945    706      2010            1.3    9991.779367\n",
+       "5150     470      2019            2.0   77990.662719\n",
+       "10864   5488      2014            2.5    9997.038307\n",
+       "...      ...       ...            ...            ...\n",
+       "5343    7840      1998            2.8    9960.397848\n",
+       "9938   19444      2013            2.0    9995.969432\n",
+       "6576   26343      2017            3.0  103432.672018\n",
+       "12789  39750      2017            1.6   90913.773797\n",
+       "5395   18189      2012            1.9    9994.736527\n",
        "\n",
        "[3848 rows x 4 columns]"
       ]
@@ -1372,19 +1372,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'RMSE_train': 36049.32401271262,\n",
-       " 'RMSE_test': 36049.32401271262,\n",
-       " 'RMAE_test': 142.4884853198348,\n",
-       " 'R2_test': -1.5218160662039941}"
+       "{'RMSE_train': 34126.997123579145,\n",
+       " 'RMSE_test': 34126.997123579145,\n",
+       " 'RMAE_test': 140.19755698149206,\n",
+       " 'R2_test': -2.0018563819330226}"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }