diff --git a/P0. Data preparation.ipynb b/P0. Data preparation.ipynb
index fb58504..8d96904 100644
--- a/P0. Data preparation.ipynb	
+++ b/P0. Data preparation.ipynb	
@@ -9,10 +9,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
+    "# if you don't have some library installed try using pip or pip3 to install it - you can do it from the notebook\n",
+    "# example: !pip install tqdm\n",
+    "# also on labs it's better to use python3 kernel - ipython3 notebook\n",
+    "\n",
     "import pandas as pd\n",
     "import numpy as np\n",
     "import scipy.sparse as sparse\n",
@@ -50,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -129,7 +133,7 @@
        "4   166   346       1  886397596"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -147,7 +151,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -176,14 +180,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 1152x576 with 1 Axes>"
+       "<matplotlib.figure.Figure at 0x7fdb49170278>"
       ]
      },
      "metadata": {
@@ -223,9 +227,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 1152x576 with 1 Axes>"
+       "<matplotlib.figure.Figure at 0x7fdb4186b860>"
       ]
      },
      "metadata": {
@@ -482,10 +486,10 @@
        "1   2   GoldenEye (1995)  01-Jan-1995 NaN   \n",
        "2   3  Four Rooms (1995)  01-Jan-1995 NaN   \n",
        "\n",
-       "                                                  4   5   6   7   8   9   ...  \\\n",
-       "0  http://us.imdb.com/M/title-exact?Toy%20Story%2...   0   0   0   1   1  ...   \n",
-       "1  http://us.imdb.com/M/title-exact?GoldenEye%20(...   0   1   1   0   0  ...   \n",
-       "2  http://us.imdb.com/M/title-exact?Four%20Rooms%...   0   0   0   0   0  ...   \n",
+       "                                                  4   5   6   7   8   9  ...  \\\n",
+       "0  http://us.imdb.com/M/title-exact?Toy%20Story%2...   0   0   0   1   1 ...   \n",
+       "1  http://us.imdb.com/M/title-exact?GoldenEye%20(...   0   1   1   0   0 ...   \n",
+       "2  http://us.imdb.com/M/title-exact?Four%20Rooms%...   0   0   0   0   0 ...   \n",
        "\n",
        "   14  15  16  17  18  19  20  21  22  23  \n",
        "0   0   0   0   0   0   0   0   0   0   0  \n",
@@ -596,12 +600,312 @@
        "      <td>Crime, Drama, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>6</td>\n",
+       "      <td>Shanghai Triad (Yao a yao yao dao waipo qiao) ...</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>7</td>\n",
+       "      <td>Twelve Monkeys (1995)</td>\n",
+       "      <td>Drama, Sci-Fi</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>8</td>\n",
+       "      <td>Babe (1995)</td>\n",
+       "      <td>Children's, Comedy, Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>9</td>\n",
+       "      <td>Dead Man Walking (1995)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10</td>\n",
+       "      <td>Richard III (1995)</td>\n",
+       "      <td>Drama, War</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11</td>\n",
+       "      <td>Seven (Se7en) (1995)</td>\n",
+       "      <td>Crime, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12</td>\n",
+       "      <td>Usual Suspects, The (1995)</td>\n",
+       "      <td>Crime, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>13</td>\n",
+       "      <td>Mighty Aphrodite (1995)</td>\n",
+       "      <td>Comedy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>14</td>\n",
+       "      <td>Postino, Il (1994)</td>\n",
+       "      <td>Drama, Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>15</td>\n",
+       "      <td>Mr. Holland's Opus (1995)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>16</td>\n",
+       "      <td>French Twist (Gazon maudit) (1995)</td>\n",
+       "      <td>Comedy, Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>17</td>\n",
+       "      <td>From Dusk Till Dawn (1996)</td>\n",
+       "      <td>Action, Comedy, Crime, Horror, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>18</td>\n",
+       "      <td>White Balloon, The (1995)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>19</td>\n",
+       "      <td>Antonia's Line (1995)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>20</td>\n",
+       "      <td>Angels and Insects (1995)</td>\n",
+       "      <td>Drama, Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>21</td>\n",
+       "      <td>Muppet Treasure Island (1996)</td>\n",
+       "      <td>Action, Adventure, Comedy, Musical, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>22</td>\n",
+       "      <td>Braveheart (1995)</td>\n",
+       "      <td>Action, Drama, War</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>23</td>\n",
+       "      <td>Taxi Driver (1976)</td>\n",
+       "      <td>Drama, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>24</td>\n",
+       "      <td>Rumble in the Bronx (1995)</td>\n",
+       "      <td>Action, Adventure, Crime</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>25</td>\n",
+       "      <td>Birdcage, The (1996)</td>\n",
+       "      <td>Comedy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>26</td>\n",
+       "      <td>Brothers McMullen, The (1995)</td>\n",
+       "      <td>Comedy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>27</td>\n",
+       "      <td>Bad Boys (1995)</td>\n",
+       "      <td>Action</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>28</td>\n",
+       "      <td>Apollo 13 (1995)</td>\n",
+       "      <td>Action, Drama, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>29</td>\n",
+       "      <td>Batman Forever (1995)</td>\n",
+       "      <td>Action, Adventure, Comedy, Crime</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>30</td>\n",
+       "      <td>Belle de jour (1967)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>1652</th>\n",
+       "      <td>1653</td>\n",
+       "      <td>Entertaining Angels: The Dorothy Day Story (1996)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1653</th>\n",
+       "      <td>1654</td>\n",
+       "      <td>Chairman of the Board (1998)</td>\n",
+       "      <td>Comedy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1654</th>\n",
+       "      <td>1655</td>\n",
+       "      <td>Favor, The (1994)</td>\n",
+       "      <td>Comedy, Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1655</th>\n",
+       "      <td>1656</td>\n",
+       "      <td>Little City (1998)</td>\n",
+       "      <td>Comedy, Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1656</th>\n",
+       "      <td>1657</td>\n",
+       "      <td>Target (1995)</td>\n",
+       "      <td>Action, Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1657</th>\n",
+       "      <td>1658</td>\n",
+       "      <td>Substance of Fire, The (1996)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1658</th>\n",
+       "      <td>1659</td>\n",
+       "      <td>Getting Away With Murder (1996)</td>\n",
+       "      <td>Comedy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1659</th>\n",
+       "      <td>1660</td>\n",
+       "      <td>Small Faces (1995)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1660</th>\n",
+       "      <td>1661</td>\n",
+       "      <td>New Age, The (1994)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1661</th>\n",
+       "      <td>1662</td>\n",
+       "      <td>Rough Magic (1995)</td>\n",
+       "      <td>Drama, Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1662</th>\n",
+       "      <td>1663</td>\n",
+       "      <td>Nothing Personal (1995)</td>\n",
+       "      <td>Drama, War</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1663</th>\n",
+       "      <td>1664</td>\n",
+       "      <td>8 Heads in a Duffel Bag (1997)</td>\n",
+       "      <td>Comedy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1664</th>\n",
+       "      <td>1665</td>\n",
+       "      <td>Brother's Kiss, A (1997)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1665</th>\n",
+       "      <td>1666</td>\n",
+       "      <td>Ripe (1996)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1666</th>\n",
+       "      <td>1667</td>\n",
+       "      <td>Next Step, The (1995)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1667</th>\n",
+       "      <td>1668</td>\n",
+       "      <td>Wedding Bell Blues (1996)</td>\n",
+       "      <td>Comedy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1668</th>\n",
+       "      <td>1669</td>\n",
+       "      <td>MURDER and murder (1996)</td>\n",
+       "      <td>Crime, Drama, Mystery</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1669</th>\n",
+       "      <td>1670</td>\n",
+       "      <td>Tainted (1998)</td>\n",
+       "      <td>Comedy, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1670</th>\n",
+       "      <td>1671</td>\n",
+       "      <td>Further Gesture, A (1996)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1671</th>\n",
+       "      <td>1672</td>\n",
+       "      <td>Kika (1993)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1672</th>\n",
+       "      <td>1673</td>\n",
+       "      <td>Mirage (1995)</td>\n",
+       "      <td>Action, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1673</th>\n",
+       "      <td>1674</td>\n",
+       "      <td>Mamma Roma (1962)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1674</th>\n",
+       "      <td>1675</td>\n",
+       "      <td>Sunchaser, The (1996)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1675</th>\n",
+       "      <td>1676</td>\n",
+       "      <td>War at Home, The (1996)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1676</th>\n",
+       "      <td>1677</td>\n",
+       "      <td>Sweet Nothing (1995)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>1677</th>\n",
        "      <td>1678</td>\n",
        "      <td>Mat' i syn (1997)</td>\n",
@@ -637,31 +941,131 @@
        "</div>"
       ],
       "text/plain": [
-       "        id                                      title  \\\n",
-       "0        1                           Toy Story (1995)   \n",
-       "1        2                           GoldenEye (1995)   \n",
-       "2        3                          Four Rooms (1995)   \n",
-       "3        4                          Get Shorty (1995)   \n",
-       "4        5                             Copycat (1995)   \n",
-       "...    ...                                        ...   \n",
-       "1677  1678                          Mat' i syn (1997)   \n",
-       "1678  1679                           B. Monkey (1998)   \n",
-       "1679  1680                       Sliding Doors (1998)   \n",
-       "1680  1681                        You So Crazy (1994)   \n",
-       "1681  1682  Scream of Stone (Schrei aus Stein) (1991)   \n",
+       "        id                                              title  \\\n",
+       "0        1                                   Toy Story (1995)   \n",
+       "1        2                                   GoldenEye (1995)   \n",
+       "2        3                                  Four Rooms (1995)   \n",
+       "3        4                                  Get Shorty (1995)   \n",
+       "4        5                                     Copycat (1995)   \n",
+       "5        6  Shanghai Triad (Yao a yao yao dao waipo qiao) ...   \n",
+       "6        7                              Twelve Monkeys (1995)   \n",
+       "7        8                                        Babe (1995)   \n",
+       "8        9                            Dead Man Walking (1995)   \n",
+       "9       10                                 Richard III (1995)   \n",
+       "10      11                               Seven (Se7en) (1995)   \n",
+       "11      12                         Usual Suspects, The (1995)   \n",
+       "12      13                            Mighty Aphrodite (1995)   \n",
+       "13      14                                 Postino, Il (1994)   \n",
+       "14      15                          Mr. Holland's Opus (1995)   \n",
+       "15      16                 French Twist (Gazon maudit) (1995)   \n",
+       "16      17                         From Dusk Till Dawn (1996)   \n",
+       "17      18                          White Balloon, The (1995)   \n",
+       "18      19                              Antonia's Line (1995)   \n",
+       "19      20                          Angels and Insects (1995)   \n",
+       "20      21                      Muppet Treasure Island (1996)   \n",
+       "21      22                                  Braveheart (1995)   \n",
+       "22      23                                 Taxi Driver (1976)   \n",
+       "23      24                         Rumble in the Bronx (1995)   \n",
+       "24      25                               Birdcage, The (1996)   \n",
+       "25      26                      Brothers McMullen, The (1995)   \n",
+       "26      27                                    Bad Boys (1995)   \n",
+       "27      28                                   Apollo 13 (1995)   \n",
+       "28      29                              Batman Forever (1995)   \n",
+       "29      30                               Belle de jour (1967)   \n",
+       "...    ...                                                ...   \n",
+       "1652  1653  Entertaining Angels: The Dorothy Day Story (1996)   \n",
+       "1653  1654                       Chairman of the Board (1998)   \n",
+       "1654  1655                                  Favor, The (1994)   \n",
+       "1655  1656                                 Little City (1998)   \n",
+       "1656  1657                                      Target (1995)   \n",
+       "1657  1658                      Substance of Fire, The (1996)   \n",
+       "1658  1659                    Getting Away With Murder (1996)   \n",
+       "1659  1660                                 Small Faces (1995)   \n",
+       "1660  1661                                New Age, The (1994)   \n",
+       "1661  1662                                 Rough Magic (1995)   \n",
+       "1662  1663                            Nothing Personal (1995)   \n",
+       "1663  1664                     8 Heads in a Duffel Bag (1997)   \n",
+       "1664  1665                           Brother's Kiss, A (1997)   \n",
+       "1665  1666                                        Ripe (1996)   \n",
+       "1666  1667                              Next Step, The (1995)   \n",
+       "1667  1668                          Wedding Bell Blues (1996)   \n",
+       "1668  1669                           MURDER and murder (1996)   \n",
+       "1669  1670                                     Tainted (1998)   \n",
+       "1670  1671                          Further Gesture, A (1996)   \n",
+       "1671  1672                                        Kika (1993)   \n",
+       "1672  1673                                      Mirage (1995)   \n",
+       "1673  1674                                  Mamma Roma (1962)   \n",
+       "1674  1675                              Sunchaser, The (1996)   \n",
+       "1675  1676                            War at Home, The (1996)   \n",
+       "1676  1677                               Sweet Nothing (1995)   \n",
+       "1677  1678                                  Mat' i syn (1997)   \n",
+       "1678  1679                                   B. Monkey (1998)   \n",
+       "1679  1680                               Sliding Doors (1998)   \n",
+       "1680  1681                                You So Crazy (1994)   \n",
+       "1681  1682          Scream of Stone (Schrei aus Stein) (1991)   \n",
        "\n",
-       "                             genres  \n",
-       "0     Animation, Children's, Comedy  \n",
-       "1       Action, Adventure, Thriller  \n",
-       "2                          Thriller  \n",
-       "3             Action, Comedy, Drama  \n",
-       "4            Crime, Drama, Thriller  \n",
-       "...                             ...  \n",
-       "1677                          Drama  \n",
-       "1678              Romance, Thriller  \n",
-       "1679                 Drama, Romance  \n",
-       "1680                         Comedy  \n",
-       "1681                          Drama  \n",
+       "                                            genres  \n",
+       "0                    Animation, Children's, Comedy  \n",
+       "1                      Action, Adventure, Thriller  \n",
+       "2                                         Thriller  \n",
+       "3                            Action, Comedy, Drama  \n",
+       "4                           Crime, Drama, Thriller  \n",
+       "5                                            Drama  \n",
+       "6                                    Drama, Sci-Fi  \n",
+       "7                        Children's, Comedy, Drama  \n",
+       "8                                            Drama  \n",
+       "9                                       Drama, War  \n",
+       "10                                 Crime, Thriller  \n",
+       "11                                 Crime, Thriller  \n",
+       "12                                          Comedy  \n",
+       "13                                  Drama, Romance  \n",
+       "14                                           Drama  \n",
+       "15                                 Comedy, Romance  \n",
+       "16         Action, Comedy, Crime, Horror, Thriller  \n",
+       "17                                           Drama  \n",
+       "18                                           Drama  \n",
+       "19                                  Drama, Romance  \n",
+       "20    Action, Adventure, Comedy, Musical, Thriller  \n",
+       "21                              Action, Drama, War  \n",
+       "22                                 Drama, Thriller  \n",
+       "23                        Action, Adventure, Crime  \n",
+       "24                                          Comedy  \n",
+       "25                                          Comedy  \n",
+       "26                                          Action  \n",
+       "27                         Action, Drama, Thriller  \n",
+       "28                Action, Adventure, Comedy, Crime  \n",
+       "29                                           Drama  \n",
+       "...                                            ...  \n",
+       "1652                                         Drama  \n",
+       "1653                                        Comedy  \n",
+       "1654                               Comedy, Romance  \n",
+       "1655                               Comedy, Romance  \n",
+       "1656                                 Action, Drama  \n",
+       "1657                                         Drama  \n",
+       "1658                                        Comedy  \n",
+       "1659                                         Drama  \n",
+       "1660                                         Drama  \n",
+       "1661                                Drama, Romance  \n",
+       "1662                                    Drama, War  \n",
+       "1663                                        Comedy  \n",
+       "1664                                         Drama  \n",
+       "1665                                         Drama  \n",
+       "1666                                         Drama  \n",
+       "1667                                        Comedy  \n",
+       "1668                         Crime, Drama, Mystery  \n",
+       "1669                              Comedy, Thriller  \n",
+       "1670                                         Drama  \n",
+       "1671                                         Drama  \n",
+       "1672                              Action, Thriller  \n",
+       "1673                                         Drama  \n",
+       "1674                                         Drama  \n",
+       "1675                                         Drama  \n",
+       "1676                                         Drama  \n",
+       "1677                                         Drama  \n",
+       "1678                             Romance, Thriller  \n",
+       "1679                                Drama, Romance  \n",
+       "1680                                        Comedy  \n",
+       "1681                                         Drama  \n",
        "\n",
        "[1682 rows x 3 columns]"
       ]
@@ -685,7 +1089,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "if not os.path.exists('./Datasets/toy-example/'):\n",
+    "    os.mkdir('./Datasets/toy-example/')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/P1. Baseline.ipynb b/P1. Baseline.ipynb
index c5a0c3e..bacfb2d 100644
--- a/P1. Baseline.ipynb	
+++ b/P1. Baseline.ipynb	
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -134,7 +134,7 @@
        "4   560    24       2  879976772        559         23"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -145,7 +145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -155,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -189,17 +189,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<3x4 sparse matrix of type '<class 'numpy.longlong'>'\n",
+       "<3x4 sparse matrix of type '<class 'numpy.int64'>'\n",
        "\twith 8 stored elements in Compressed Sparse Row format>"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -214,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -257,7 +257,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -283,7 +283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -307,7 +307,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "563 ns ± 16.7 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)\n",
+      "472 ns ± 7.02 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)\n",
       "Inefficient way to access items rated by user:\n"
      ]
     },
@@ -325,7 +325,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "70.8 µs ± 2.93 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
+      "57.3 µs ± 6.26 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n"
      ]
     }
    ],
@@ -350,7 +350,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -384,7 +384,7 @@
        "matrix([[ 8,  3, 11]])"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -398,7 +398,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -411,7 +411,7 @@
     {
      "data": {
       "text/plain": [
-       "array([2.66666667, 1.5       , 3.66666667])"
+       "array([ 2.66666667,  1.5       ,  3.66666667])"
       ]
      },
      "metadata": {},
@@ -427,9 +427,9 @@
     {
      "data": {
       "text/plain": [
-       "matrix([[2.66666667, 0.        , 0.        ],\n",
-       "        [0.        , 1.5       , 0.        ],\n",
-       "        [0.        , 0.        , 3.66666667]])"
+       "matrix([[ 2.66666667,  0.        ,  0.        ],\n",
+       "        [ 0.        ,  1.5       ,  0.        ],\n",
+       "        [ 0.        ,  0.        ,  3.66666667]])"
       ]
      },
      "metadata": {},
@@ -445,9 +445,9 @@
     {
      "data": {
       "text/plain": [
-       "matrix([[2.66666667, 2.66666667, 2.66666667, 0.        ],\n",
-       "        [0.        , 1.5       , 0.        , 1.5       ],\n",
-       "        [3.66666667, 0.        , 3.66666667, 3.66666667]])"
+       "matrix([[ 2.66666667,  2.66666667,  2.66666667,  0.        ],\n",
+       "        [ 0.        ,  1.5       ,  0.        ,  1.5       ],\n",
+       "        [ 3.66666667,  0.        ,  3.66666667,  3.66666667]])"
       ]
      },
      "metadata": {},
@@ -468,7 +468,7 @@
        "        [-1.66666667,  0.        ,  1.33333333,  0.33333333]])"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -498,7 +498,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -556,7 +556,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "if not os.path.exists('./Recommendations generated/'):\n",
+    "    os.mkdir('./Recommendations generated/')\n",
+    "    os.mkdir('./Recommendations generated/ml-100k/')\n",
+    "    os.mkdir('./Recommendations generated/toy-example/')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -605,7 +618,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -642,7 +655,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -744,18 +757,18 @@
        "</div>"
       ],
       "text/plain": [
-       "   0   1         2   3         4   5         6   7         8   9   ...  11  \\\n",
-       "0   1   5  3.529975  10  3.529975  25  3.529975  32  3.529975  33  ...  44   \n",
-       "1   2   1  3.529975   2  3.529975   3  3.529975   4  3.529975   5  ...   6   \n",
+       "   0   1         2   3         4   5         6   7         8   9     ...     \\\n",
+       "0   1   5  3.529975  10  3.529975  25  3.529975  32  3.529975  33    ...      \n",
+       "1   2   1  3.529975   2  3.529975   3  3.529975   4  3.529975   5    ...      \n",
        "\n",
-       "         12  13        14  15        16  17        18  19        20  \n",
-       "0  3.529975  46  3.529975  50  3.529975  52  3.529975  55  3.529975  \n",
-       "1  3.529975   7  3.529975   8  3.529975   9  3.529975  11  3.529975  \n",
+       "   11        12  13        14  15        16  17        18  19        20  \n",
+       "0  44  3.529975  46  3.529975  50  3.529975  52  3.529975  55  3.529975  \n",
+       "1   6  3.529975   7  3.529975   8  3.529975   9  3.529975  11  3.529975  \n",
        "\n",
        "[2 rows x 21 columns]"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -773,7 +786,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -792,7 +805,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -865,7 +878,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -1033,7 +1046,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1057,7 +1070,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1076,7 +1089,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -1133,7 +1146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -1147,10 +1160,10 @@
     {
      "data": {
       "text/plain": [
-       "0.7524871012820799"
+       "0.75248710128207985"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1180,24 +1193,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "RMSE: 1.5186\n",
-      "MAE:  1.2188\n"
+      "RMSE: 1.5190\n",
+      "MAE:  1.2222\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "1.2187837474576546"
+       "1.222159317007133"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/P1. Introduction and baseline.pdf b/P1. Introduction and baseline.pdf
new file mode 100644
index 0000000..f5d5846
Binary files /dev/null and b/P1. Introduction and baseline.pdf differ
diff --git a/P2. Evaluation.ipynb b/P2. Evaluation.ipynb
index 747bbea..8152ff0 100644
--- a/P2. Evaluation.ipynb	
+++ b/P2. Evaluation.ipynb	
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 1,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -83,7 +83,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -126,12 +126,15 @@
        "0  0.949459  0.752487"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "# in case of error (in the laboratories) you might have to switch to the other version of pandas\n",
+    "# try !pip3 install pandas=='1.0.3' (or pip if you use python 2) and restart the kernel\n",
+    "\n",
     "estimations_metrics(test_ui, estimations)"
    ]
   },
@@ -144,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -159,7 +162,7 @@
        "       [ 77, 313, 475, ...,  11, 591, 175]])"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -180,7 +183,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -263,14 +266,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 7832.26it/s]\n"
+      "943it [00:00, 9409.37it/s]\n"
      ]
     },
     {
@@ -334,7 +337,7 @@
        "0  0.095957  0.043178  0.198193  0.515501  0.437964  "
       ]
      },
-     "execution_count": 41,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -395,7 +398,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -442,12 +445,14 @@
        "0           1.0       0.033911  2.836513  0.991139"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "# in case of errors try !pip3 install numpy==1.18.4 (or pip if you use python 2) and restart the kernel\n",
+    "\n",
     "import evaluation_measures as ev\n",
     "import imp\n",
     "imp.reload(ev)\n",
@@ -465,14 +470,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 8174.46it/s]\n"
+      "943it [00:00, 8290.29it/s]\n"
      ]
     },
     {
@@ -551,7 +556,7 @@
        "0  0.437964           1.0       0.033911  2.836513  0.991139  "
       ]
      },
-     "execution_count": 43,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -573,29 +578,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 8620.89it/s]\n",
-      "943it [00:00, 7627.42it/s]\n",
-      "943it [00:00, 8642.57it/s]\n",
-      "943it [00:00, 7752.46it/s]\n",
-      "943it [00:00, 8864.93it/s]\n",
-      "943it [00:00, 8549.57it/s]\n",
-      "943it [00:00, 5768.05it/s]\n",
-      "943it [00:00, 8257.83it/s]\n",
-      "943it [00:00, 7608.73it/s]\n",
-      "943it [00:00, 8086.29it/s]\n",
-      "943it [00:00, 9124.19it/s]\n",
-      "943it [00:00, 8456.44it/s]\n",
-      "943it [00:00, 8696.29it/s]\n",
-      "943it [00:00, 8500.80it/s]\n",
-      "943it [00:00, 9023.45it/s]\n",
-      "943it [00:00, 8529.05it/s]\n"
+      "943it [00:00, 9608.49it/s]\n",
+      "943it [00:00, 9837.12it/s]\n",
+      "943it [00:00, 10292.46it/s]\n",
+      "943it [00:00, 9906.94it/s]\n",
+      "943it [00:00, 9162.09it/s]\n"
      ]
     }
    ],
@@ -614,7 +608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -652,18 +646,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_RP3Beta</td>\n",
-       "      <td>3.702446</td>\n",
-       "      <td>3.527273</td>\n",
-       "      <td>0.282185</td>\n",
-       "      <td>0.192092</td>\n",
-       "      <td>0.186749</td>\n",
-       "      <td>0.216980</td>\n",
-       "      <td>0.204185</td>\n",
-       "      <td>0.240096</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_TopPop</td>\n",
        "      <td>2.508258</td>\n",
        "      <td>2.217909</td>\n",
@@ -676,42 +658,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_SVD</td>\n",
-       "      <td>0.952784</td>\n",
-       "      <td>0.750597</td>\n",
-       "      <td>0.095228</td>\n",
-       "      <td>0.047497</td>\n",
-       "      <td>0.053142</td>\n",
-       "      <td>0.067082</td>\n",
-       "      <td>0.084871</td>\n",
-       "      <td>0.076457</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_SVDBaseline</td>\n",
-       "      <td>0.930321</td>\n",
-       "      <td>0.734643</td>\n",
-       "      <td>0.092683</td>\n",
-       "      <td>0.042046</td>\n",
-       "      <td>0.048568</td>\n",
-       "      <td>0.063218</td>\n",
-       "      <td>0.082940</td>\n",
-       "      <td>0.068730</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_SVDBiased</td>\n",
-       "      <td>0.940375</td>\n",
-       "      <td>0.742264</td>\n",
-       "      <td>0.092153</td>\n",
-       "      <td>0.039645</td>\n",
-       "      <td>0.046804</td>\n",
-       "      <td>0.061886</td>\n",
-       "      <td>0.079399</td>\n",
-       "      <td>0.055967</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Ready_Baseline</td>\n",
        "      <td>0.949459</td>\n",
        "      <td>0.752487</td>\n",
@@ -724,18 +670,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_SVD</td>\n",
-       "      <td>0.939326</td>\n",
-       "      <td>0.740022</td>\n",
-       "      <td>0.074549</td>\n",
-       "      <td>0.031755</td>\n",
-       "      <td>0.038425</td>\n",
-       "      <td>0.050562</td>\n",
-       "      <td>0.065665</td>\n",
-       "      <td>0.050602</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_GlobalAvg</td>\n",
        "      <td>1.125760</td>\n",
        "      <td>0.943534</td>\n",
@@ -749,74 +683,14 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>1.518551</td>\n",
-       "      <td>1.218784</td>\n",
-       "      <td>0.050583</td>\n",
-       "      <td>0.024085</td>\n",
-       "      <td>0.027323</td>\n",
-       "      <td>0.034826</td>\n",
-       "      <td>0.031223</td>\n",
-       "      <td>0.026436</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNN</td>\n",
-       "      <td>1.030386</td>\n",
-       "      <td>0.813067</td>\n",
-       "      <td>0.026087</td>\n",
-       "      <td>0.006908</td>\n",
-       "      <td>0.010593</td>\n",
-       "      <td>0.016046</td>\n",
-       "      <td>0.021137</td>\n",
-       "      <td>0.009522</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNNBaseline</td>\n",
-       "      <td>0.935327</td>\n",
-       "      <td>0.737424</td>\n",
-       "      <td>0.002545</td>\n",
-       "      <td>0.000755</td>\n",
-       "      <td>0.001105</td>\n",
-       "      <td>0.001602</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.000930</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNNBaseline</td>\n",
-       "      <td>0.935327</td>\n",
-       "      <td>0.737424</td>\n",
-       "      <td>0.002545</td>\n",
-       "      <td>0.000755</td>\n",
-       "      <td>0.001105</td>\n",
-       "      <td>0.001602</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.000930</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNN</td>\n",
-       "      <td>1.023495</td>\n",
-       "      <td>0.807913</td>\n",
-       "      <td>0.000742</td>\n",
-       "      <td>0.000205</td>\n",
-       "      <td>0.000305</td>\n",
-       "      <td>0.000449</td>\n",
-       "      <td>0.000536</td>\n",
-       "      <td>0.000198</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_TopRated</td>\n",
-       "      <td>1.033085</td>\n",
-       "      <td>0.822057</td>\n",
-       "      <td>0.000954</td>\n",
-       "      <td>0.000188</td>\n",
-       "      <td>0.000298</td>\n",
-       "      <td>0.000481</td>\n",
-       "      <td>0.000644</td>\n",
-       "      <td>0.000223</td>\n",
+       "      <td>1.518964</td>\n",
+       "      <td>1.222159</td>\n",
+       "      <td>0.046554</td>\n",
+       "      <td>0.020603</td>\n",
+       "      <td>0.023679</td>\n",
+       "      <td>0.031216</td>\n",
+       "      <td>0.028970</td>\n",
+       "      <td>0.021179</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -830,61 +704,27 @@
        "      <td>0.000644</td>\n",
        "      <td>0.000189</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_IKNN</td>\n",
-       "      <td>1.018363</td>\n",
-       "      <td>0.808793</td>\n",
-       "      <td>0.000318</td>\n",
-       "      <td>0.000108</td>\n",
-       "      <td>0.000140</td>\n",
-       "      <td>0.000189</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                 Model      RMSE       MAE  precision    recall       F_1  \\\n",
-       "0         Self_RP3Beta  3.702446  3.527273   0.282185  0.192092  0.186749   \n",
-       "0          Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
-       "0            Ready_SVD  0.952784  0.750597   0.095228  0.047497  0.053142   \n",
-       "0     Self_SVDBaseline  0.930321  0.734643   0.092683  0.042046  0.048568   \n",
-       "0      Ready_SVDBiased  0.940375  0.742264   0.092153  0.039645  0.046804   \n",
-       "0       Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
-       "0             Self_SVD  0.939326  0.740022   0.074549  0.031755  0.038425   \n",
-       "0       Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
-       "0         Ready_Random  1.518551  1.218784   0.050583  0.024085  0.027323   \n",
-       "0          Ready_I-KNN  1.030386  0.813067   0.026087  0.006908  0.010593   \n",
-       "0  Ready_I-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
-       "0  Ready_U-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
-       "0          Ready_U-KNN  1.023495  0.807913   0.000742  0.000205  0.000305   \n",
-       "0        Self_TopRated  1.033085  0.822057   0.000954  0.000188  0.000298   \n",
-       "0      Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
-       "0            Self_IKNN  1.018363  0.808793   0.000318  0.000108  0.000140   \n",
+       "             Model      RMSE       MAE  precision    recall       F_1  \\\n",
+       "0      Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
+       "0   Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
+       "0   Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
+       "0     Ready_Random  1.518964  1.222159   0.046554  0.020603  0.023679   \n",
+       "0  Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
        "\n",
        "       F_05  precision_super  recall_super  \n",
-       "0  0.216980         0.204185      0.240096  \n",
        "0  0.141584         0.130472      0.137473  \n",
-       "0  0.067082         0.084871      0.076457  \n",
-       "0  0.063218         0.082940      0.068730  \n",
-       "0  0.061886         0.079399      0.055967  \n",
        "0  0.061286         0.079614      0.056463  \n",
-       "0  0.050562         0.065665      0.050602  \n",
        "0  0.041343         0.040558      0.032107  \n",
-       "0  0.034826         0.031223      0.026436  \n",
-       "0  0.016046         0.021137      0.009522  \n",
-       "0  0.001602         0.002253      0.000930  \n",
-       "0  0.001602         0.002253      0.000930  \n",
-       "0  0.000449         0.000536      0.000198  \n",
-       "0  0.000481         0.000644      0.000223  \n",
-       "0  0.000463         0.000644      0.000189  \n",
-       "0  0.000189         0.000000      0.000000  "
+       "0  0.031216         0.028970      0.021179  \n",
+       "0  0.000463         0.000644      0.000189  "
       ]
      },
-     "execution_count": 60,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -895,7 +735,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -934,19 +774,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_RP3Beta</td>\n",
-       "      <td>0.339114</td>\n",
-       "      <td>0.204905</td>\n",
-       "      <td>0.572157</td>\n",
-       "      <td>0.593544</td>\n",
-       "      <td>0.875928</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.077201</td>\n",
-       "      <td>3.875892</td>\n",
-       "      <td>0.974947</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_TopPop</td>\n",
        "      <td>0.214651</td>\n",
        "      <td>0.111707</td>\n",
@@ -960,45 +787,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_SVD</td>\n",
-       "      <td>0.109075</td>\n",
-       "      <td>0.050124</td>\n",
-       "      <td>0.241366</td>\n",
-       "      <td>0.520459</td>\n",
-       "      <td>0.499470</td>\n",
-       "      <td>0.992047</td>\n",
-       "      <td>0.217893</td>\n",
-       "      <td>4.405246</td>\n",
-       "      <td>0.953484</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_SVDBaseline</td>\n",
-       "      <td>0.098937</td>\n",
-       "      <td>0.044405</td>\n",
-       "      <td>0.203936</td>\n",
-       "      <td>0.517696</td>\n",
-       "      <td>0.469777</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.058442</td>\n",
-       "      <td>3.085857</td>\n",
-       "      <td>0.988824</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_SVDBiased</td>\n",
-       "      <td>0.102017</td>\n",
-       "      <td>0.047972</td>\n",
-       "      <td>0.216876</td>\n",
-       "      <td>0.516515</td>\n",
-       "      <td>0.441145</td>\n",
-       "      <td>0.997455</td>\n",
-       "      <td>0.167388</td>\n",
-       "      <td>4.235348</td>\n",
-       "      <td>0.962085</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Ready_Baseline</td>\n",
        "      <td>0.095957</td>\n",
        "      <td>0.043178</td>\n",
@@ -1012,19 +800,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_SVD</td>\n",
-       "      <td>0.077117</td>\n",
-       "      <td>0.031574</td>\n",
-       "      <td>0.165509</td>\n",
-       "      <td>0.512485</td>\n",
-       "      <td>0.414634</td>\n",
-       "      <td>0.981866</td>\n",
-       "      <td>0.080087</td>\n",
-       "      <td>3.858982</td>\n",
-       "      <td>0.975271</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_GlobalAvg</td>\n",
        "      <td>0.067695</td>\n",
        "      <td>0.027470</td>\n",
@@ -1039,80 +814,15 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>0.054902</td>\n",
-       "      <td>0.020652</td>\n",
-       "      <td>0.137928</td>\n",
-       "      <td>0.508570</td>\n",
-       "      <td>0.353128</td>\n",
-       "      <td>0.987699</td>\n",
-       "      <td>0.183261</td>\n",
-       "      <td>5.093805</td>\n",
-       "      <td>0.908215</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNN</td>\n",
-       "      <td>0.024214</td>\n",
-       "      <td>0.008958</td>\n",
-       "      <td>0.048068</td>\n",
-       "      <td>0.499885</td>\n",
-       "      <td>0.154825</td>\n",
-       "      <td>0.402333</td>\n",
-       "      <td>0.434343</td>\n",
-       "      <td>5.133650</td>\n",
-       "      <td>0.877999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNNBaseline</td>\n",
-       "      <td>0.003444</td>\n",
-       "      <td>0.001362</td>\n",
-       "      <td>0.011760</td>\n",
-       "      <td>0.496724</td>\n",
-       "      <td>0.021209</td>\n",
-       "      <td>0.482821</td>\n",
-       "      <td>0.059885</td>\n",
-       "      <td>2.232578</td>\n",
-       "      <td>0.994487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNNBaseline</td>\n",
-       "      <td>0.003444</td>\n",
-       "      <td>0.001362</td>\n",
-       "      <td>0.011760</td>\n",
-       "      <td>0.496724</td>\n",
-       "      <td>0.021209</td>\n",
-       "      <td>0.482821</td>\n",
-       "      <td>0.059885</td>\n",
-       "      <td>2.232578</td>\n",
-       "      <td>0.994487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNN</td>\n",
-       "      <td>0.000845</td>\n",
-       "      <td>0.000274</td>\n",
-       "      <td>0.002744</td>\n",
-       "      <td>0.496441</td>\n",
-       "      <td>0.007423</td>\n",
-       "      <td>0.602121</td>\n",
-       "      <td>0.010823</td>\n",
-       "      <td>2.089186</td>\n",
-       "      <td>0.995706</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_TopRated</td>\n",
-       "      <td>0.001043</td>\n",
-       "      <td>0.000335</td>\n",
-       "      <td>0.003348</td>\n",
-       "      <td>0.496433</td>\n",
-       "      <td>0.009544</td>\n",
-       "      <td>0.699046</td>\n",
-       "      <td>0.005051</td>\n",
-       "      <td>1.945910</td>\n",
-       "      <td>0.995669</td>\n",
+       "      <td>0.050489</td>\n",
+       "      <td>0.019185</td>\n",
+       "      <td>0.123856</td>\n",
+       "      <td>0.506812</td>\n",
+       "      <td>0.322375</td>\n",
+       "      <td>0.987805</td>\n",
+       "      <td>0.184704</td>\n",
+       "      <td>5.103172</td>\n",
+       "      <td>0.906873</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -1127,62 +837,27 @@
        "      <td>1.803126</td>\n",
        "      <td>0.996380</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_IKNN</td>\n",
-       "      <td>0.000214</td>\n",
-       "      <td>0.000037</td>\n",
-       "      <td>0.000368</td>\n",
-       "      <td>0.496391</td>\n",
-       "      <td>0.003181</td>\n",
-       "      <td>0.392153</td>\n",
-       "      <td>0.115440</td>\n",
-       "      <td>4.174741</td>\n",
-       "      <td>0.965327</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                 Model      NDCG       mAP       MRR      LAUC        HR  \\\n",
-       "0         Self_RP3Beta  0.339114  0.204905  0.572157  0.593544  0.875928   \n",
-       "0          Self_TopPop  0.214651  0.111707  0.400939  0.555546  0.765642   \n",
-       "0            Ready_SVD  0.109075  0.050124  0.241366  0.520459  0.499470   \n",
-       "0     Self_SVDBaseline  0.098937  0.044405  0.203936  0.517696  0.469777   \n",
-       "0      Ready_SVDBiased  0.102017  0.047972  0.216876  0.516515  0.441145   \n",
-       "0       Ready_Baseline  0.095957  0.043178  0.198193  0.515501  0.437964   \n",
-       "0             Self_SVD  0.077117  0.031574  0.165509  0.512485  0.414634   \n",
-       "0       Self_GlobalAvg  0.067695  0.027470  0.171187  0.509546  0.384942   \n",
-       "0         Ready_Random  0.054902  0.020652  0.137928  0.508570  0.353128   \n",
-       "0          Ready_I-KNN  0.024214  0.008958  0.048068  0.499885  0.154825   \n",
-       "0  Ready_I-KNNBaseline  0.003444  0.001362  0.011760  0.496724  0.021209   \n",
-       "0  Ready_U-KNNBaseline  0.003444  0.001362  0.011760  0.496724  0.021209   \n",
-       "0          Ready_U-KNN  0.000845  0.000274  0.002744  0.496441  0.007423   \n",
-       "0        Self_TopRated  0.001043  0.000335  0.003348  0.496433  0.009544   \n",
-       "0      Self_BaselineUI  0.000752  0.000168  0.001677  0.496424  0.009544   \n",
-       "0            Self_IKNN  0.000214  0.000037  0.000368  0.496391  0.003181   \n",
+       "             Model      NDCG       mAP       MRR      LAUC        HR  \\\n",
+       "0      Self_TopPop  0.214651  0.111707  0.400939  0.555546  0.765642   \n",
+       "0   Ready_Baseline  0.095957  0.043178  0.198193  0.515501  0.437964   \n",
+       "0   Self_GlobalAvg  0.067695  0.027470  0.171187  0.509546  0.384942   \n",
+       "0     Ready_Random  0.050489  0.019185  0.123856  0.506812  0.322375   \n",
+       "0  Self_BaselineUI  0.000752  0.000168  0.001677  0.496424  0.009544   \n",
        "\n",
        "   Reco in test  Test coverage   Shannon      Gini  \n",
-       "0      1.000000       0.077201  3.875892  0.974947  \n",
        "0      1.000000       0.038961  3.159079  0.987317  \n",
-       "0      0.992047       0.217893  4.405246  0.953484  \n",
-       "0      1.000000       0.058442  3.085857  0.988824  \n",
-       "0      0.997455       0.167388  4.235348  0.962085  \n",
        "0      1.000000       0.033911  2.836513  0.991139  \n",
-       "0      0.981866       0.080087  3.858982  0.975271  \n",
        "0      1.000000       0.025974  2.711772  0.992003  \n",
-       "0      0.987699       0.183261  5.093805  0.908215  \n",
-       "0      0.402333       0.434343  5.133650  0.877999  \n",
-       "0      0.482821       0.059885  2.232578  0.994487  \n",
-       "0      0.482821       0.059885  2.232578  0.994487  \n",
-       "0      0.602121       0.010823  2.089186  0.995706  \n",
-       "0      0.699046       0.005051  1.945910  0.995669  \n",
-       "0      0.600530       0.005051  1.803126  0.996380  \n",
-       "0      0.392153       0.115440  4.174741  0.965327  "
+       "0      0.987805       0.184704  5.103172  0.906873  \n",
+       "0      0.600530       0.005051  1.803126  0.996380  "
       ]
      },
-     "execution_count": 61,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1200,14 +875,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "3it [00:00, 4090.67it/s]\n"
+      "3it [00:00, 1651.52it/s]\n"
      ]
     },
     {
@@ -1255,37 +930,37 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Self_BaselineUI</td>\n",
-       "      <td>1.648337</td>\n",
-       "      <td>1.575</td>\n",
+       "      <td>1.612452</td>\n",
+       "      <td>1.4</td>\n",
        "      <td>0.444444</td>\n",
        "      <td>0.888889</td>\n",
        "      <td>0.555556</td>\n",
        "      <td>0.478632</td>\n",
        "      <td>0.333333</td>\n",
        "      <td>0.75</td>\n",
-       "      <td>0.72055</td>\n",
-       "      <td>0.62963</td>\n",
-       "      <td>0.666667</td>\n",
-       "      <td>0.722222</td>\n",
+       "      <td>0.676907</td>\n",
+       "      <td>0.574074</td>\n",
+       "      <td>0.611111</td>\n",
+       "      <td>0.638889</td>\n",
        "      <td>1.0</td>\n",
-       "      <td>0.777778</td>\n",
+       "      <td>0.888889</td>\n",
        "      <td>0.8</td>\n",
-       "      <td>1.351784</td>\n",
-       "      <td>0.357143</td>\n",
+       "      <td>1.386294</td>\n",
+       "      <td>0.25</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "             Model      RMSE    MAE  precision    recall       F_1      F_05  \\\n",
-       "0  Self_BaselineUI  1.648337  1.575   0.444444  0.888889  0.555556  0.478632   \n",
+       "             Model      RMSE  MAE  precision    recall       F_1      F_05  \\\n",
+       "0  Self_BaselineUI  1.612452  1.4   0.444444  0.888889  0.555556  0.478632   \n",
        "\n",
-       "   precision_super  recall_super     NDCG      mAP       MRR      LAUC   HR  \\\n",
-       "0         0.333333          0.75  0.72055  0.62963  0.666667  0.722222  1.0   \n",
+       "   precision_super  recall_super      NDCG       mAP       MRR      LAUC   HR  \\\n",
+       "0         0.333333          0.75  0.676907  0.574074  0.611111  0.638889  1.0   \n",
        "\n",
-       "   Reco in test  Test coverage   Shannon      Gini  \n",
-       "0      0.777778            0.8  1.351784  0.357143  "
+       "   Reco in test  Test coverage   Shannon  Gini  \n",
+       "0      0.888889            0.8  1.386294  0.25  "
       ]
      },
      "metadata": {},
@@ -1369,41 +1044,41 @@
        "      <th>0</th>\n",
        "      <td>0</td>\n",
        "      <td>30</td>\n",
-       "      <td>4.375000</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>4.0</td>\n",
        "      <td>60</td>\n",
-       "      <td>4.375000</td>\n",
-       "      <td>50</td>\n",
-       "      <td>3.375000</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>10</td>\n",
        "      <td>40</td>\n",
-       "      <td>4.166667</td>\n",
+       "      <td>3.0</td>\n",
        "      <td>60</td>\n",
-       "      <td>3.166667</td>\n",
+       "      <td>2.0</td>\n",
        "      <td>70</td>\n",
-       "      <td>3.166667</td>\n",
+       "      <td>2.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>20</td>\n",
        "      <td>40</td>\n",
-       "      <td>5.333333</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>4.0</td>\n",
        "      <td>70</td>\n",
-       "      <td>4.333333</td>\n",
-       "      <td>0</td>\n",
-       "      <td>3.333333</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "    0   1         2   3         4   5         6\n",
-       "0   0  30  4.375000  60  4.375000  50  3.375000\n",
-       "1  10  40  4.166667  60  3.166667  70  3.166667\n",
-       "2  20  40  5.333333  70  4.333333   0  3.333333"
+       "    0   1    2   3    4   5    6\n",
+       "0   0  30  5.0  20  4.0  60  4.0\n",
+       "1  10  40  3.0  60  2.0  70  2.0\n",
+       "2  20  40  5.0  20  4.0  70  4.0"
       ]
      },
      "metadata": {},
@@ -1447,31 +1122,31 @@
        "      <th>0</th>\n",
        "      <td>0</td>\n",
        "      <td>60</td>\n",
-       "      <td>4.375000</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>10</td>\n",
        "      <td>40</td>\n",
-       "      <td>4.166667</td>\n",
+       "      <td>3.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>20</td>\n",
        "      <td>0</td>\n",
-       "      <td>3.333333</td>\n",
+       "      <td>3.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>20</td>\n",
        "      <td>20</td>\n",
-       "      <td>2.333333</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>20</td>\n",
        "      <td>70</td>\n",
-       "      <td>4.333333</td>\n",
+       "      <td>4.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1479,11 +1154,11 @@
       ],
       "text/plain": [
        "   user  item  est_score\n",
-       "0     0    60   4.375000\n",
-       "1    10    40   4.166667\n",
-       "2    20     0   3.333333\n",
-       "3    20    20   2.333333\n",
-       "4    20    70   4.333333"
+       "0     0    60        4.0\n",
+       "1    10    40        3.0\n",
+       "2    20     0        3.0\n",
+       "3    20    20        4.0\n",
+       "4    20    70        4.0"
       ]
      },
      "metadata": {},
@@ -1532,7 +1207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1571,148 +1246,148 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>269</th>\n",
-       "      <td>523</td>\n",
+       "      <th>24754</th>\n",
+       "      <td>105</td>\n",
        "      <td>5</td>\n",
-       "      <td>Toy Story (1995)</td>\n",
-       "      <td>Animation, Children's, Comedy</td>\n",
+       "      <td>Gattaca (1997)</td>\n",
+       "      <td>Drama, Sci-Fi, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>31247</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Grease (1978)</td>\n",
-       "      <td>Comedy, Musical, Romance</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>35233</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Much Ado About Nothing (1993)</td>\n",
-       "      <td>Comedy, Romance</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>35436</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Fantasia (1940)</td>\n",
-       "      <td>Animation, Children's, Musical</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36537</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Shine (1996)</td>\n",
-       "      <td>Drama, Romance</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37146</th>\n",
-       "      <td>523</td>\n",
+       "      <th>37073</th>\n",
+       "      <td>105</td>\n",
        "      <td>5</td>\n",
        "      <td>Contact (1997)</td>\n",
        "      <td>Drama, Sci-Fi</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>38982</th>\n",
-       "      <td>523</td>\n",
+       "      <th>40592</th>\n",
+       "      <td>105</td>\n",
        "      <td>5</td>\n",
-       "      <td>Full Monty, The (1997)</td>\n",
-       "      <td>Comedy</td>\n",
+       "      <td>Titanic (1997)</td>\n",
+       "      <td>Action, Drama, Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1197</th>\n",
-       "      <td>523</td>\n",
+       "      <th>46032</th>\n",
+       "      <td>105</td>\n",
        "      <td>5</td>\n",
-       "      <td>Four Weddings and a Funeral (1994)</td>\n",
-       "      <td>Comedy, Romance</td>\n",
+       "      <td>L.A. Confidential (1997)</td>\n",
+       "      <td>Crime, Film-Noir, Mystery, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>44756</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Butch Cassidy and the Sundance Kid (1969)</td>\n",
-       "      <td>Action, Comedy, Western</td>\n",
+       "      <th>17916</th>\n",
+       "      <td>105</td>\n",
+       "      <td>4</td>\n",
+       "      <td>English Patient, The (1996)</td>\n",
+       "      <td>Drama, Romance, War</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>45918</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Wallace &amp; Gromit: The Best of Aardman Animatio...</td>\n",
-       "      <td>Animation</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>46339</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Grand Day Out, A (1992)</td>\n",
-       "      <td>Animation, Comedy</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50119</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Mrs. Brown (Her Majesty, Mrs. Brown) (1997)</td>\n",
+       "      <th>23767</th>\n",
+       "      <td>105</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Chasing Amy (1997)</td>\n",
        "      <td>Drama, Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>50338</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Close Shave, A (1995)</td>\n",
-       "      <td>Animation, Comedy, Thriller</td>\n",
+       "      <th>47003</th>\n",
+       "      <td>105</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Cop Land (1997)</td>\n",
+       "      <td>Crime, Drama, Mystery</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>52950</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Kolya (1996)</td>\n",
-       "      <td>Comedy</td>\n",
+       "      <th>48891</th>\n",
+       "      <td>105</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Lost Highway (1997)</td>\n",
+       "      <td>Mystery</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>53361</th>\n",
-       "      <td>523</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Multiplicity (1996)</td>\n",
-       "      <td>Comedy</td>\n",
+       "      <th>67355</th>\n",
+       "      <td>105</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Good Will Hunting (1997)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54121</th>\n",
+       "      <td>105</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Boogie Nights (1997)</td>\n",
+       "      <td>Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>55439</th>\n",
+       "      <td>105</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Seven Years in Tibet (1997)</td>\n",
+       "      <td>Drama, War</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>69687</th>\n",
+       "      <td>105</td>\n",
+       "      <td>3</td>\n",
+       "      <td>Wag the Dog (1997)</td>\n",
+       "      <td>Comedy, Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7321</th>\n",
+       "      <td>105</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Saint, The (1997)</td>\n",
+       "      <td>Action, Romance, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45056</th>\n",
+       "      <td>105</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Tomorrow Never Dies (1997)</td>\n",
+       "      <td>Action, Romance, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>64052</th>\n",
+       "      <td>105</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Alien: Resurrection (1997)</td>\n",
+       "      <td>Action, Horror, Sci-Fi</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "       user  rating                                              title  \\\n",
-       "269     523       5                                   Toy Story (1995)   \n",
-       "31247   523       5                                      Grease (1978)   \n",
-       "35233   523       5                      Much Ado About Nothing (1993)   \n",
-       "35436   523       5                                    Fantasia (1940)   \n",
-       "36537   523       5                                       Shine (1996)   \n",
-       "37146   523       5                                     Contact (1997)   \n",
-       "38982   523       5                             Full Monty, The (1997)   \n",
-       "1197    523       5                 Four Weddings and a Funeral (1994)   \n",
-       "44756   523       5          Butch Cassidy and the Sundance Kid (1969)   \n",
-       "45918   523       5  Wallace & Gromit: The Best of Aardman Animatio...   \n",
-       "46339   523       5                            Grand Day Out, A (1992)   \n",
-       "50119   523       5        Mrs. Brown (Her Majesty, Mrs. Brown) (1997)   \n",
-       "50338   523       5                              Close Shave, A (1995)   \n",
-       "52950   523       5                                       Kolya (1996)   \n",
-       "53361   523       5                                Multiplicity (1996)   \n",
+       "       user  rating                        title  \\\n",
+       "24754   105       5               Gattaca (1997)   \n",
+       "37073   105       5               Contact (1997)   \n",
+       "40592   105       5               Titanic (1997)   \n",
+       "46032   105       5     L.A. Confidential (1997)   \n",
+       "17916   105       4  English Patient, The (1996)   \n",
+       "23767   105       4           Chasing Amy (1997)   \n",
+       "47003   105       4              Cop Land (1997)   \n",
+       "48891   105       4          Lost Highway (1997)   \n",
+       "67355   105       4     Good Will Hunting (1997)   \n",
+       "54121   105       3         Boogie Nights (1997)   \n",
+       "55439   105       3  Seven Years in Tibet (1997)   \n",
+       "69687   105       3           Wag the Dog (1997)   \n",
+       "7321    105       2            Saint, The (1997)   \n",
+       "45056   105       2   Tomorrow Never Dies (1997)   \n",
+       "64052   105       2   Alien: Resurrection (1997)   \n",
        "\n",
-       "                               genres  \n",
-       "269     Animation, Children's, Comedy  \n",
-       "31247        Comedy, Musical, Romance  \n",
-       "35233                 Comedy, Romance  \n",
-       "35436  Animation, Children's, Musical  \n",
-       "36537                  Drama, Romance  \n",
-       "37146                   Drama, Sci-Fi  \n",
-       "38982                          Comedy  \n",
-       "1197                  Comedy, Romance  \n",
-       "44756         Action, Comedy, Western  \n",
-       "45918                       Animation  \n",
-       "46339               Animation, Comedy  \n",
-       "50119                  Drama, Romance  \n",
-       "50338     Animation, Comedy, Thriller  \n",
-       "52950                          Comedy  \n",
-       "53361                          Comedy  "
+       "                                    genres  \n",
+       "24754              Drama, Sci-Fi, Thriller  \n",
+       "37073                        Drama, Sci-Fi  \n",
+       "40592               Action, Drama, Romance  \n",
+       "46032  Crime, Film-Noir, Mystery, Thriller  \n",
+       "17916                  Drama, Romance, War  \n",
+       "23767                       Drama, Romance  \n",
+       "47003                Crime, Drama, Mystery  \n",
+       "48891                              Mystery  \n",
+       "67355                                Drama  \n",
+       "54121                                Drama  \n",
+       "55439                           Drama, War  \n",
+       "69687                        Comedy, Drama  \n",
+       "7321             Action, Romance, Thriller  \n",
+       "45056            Action, Romance, Thriller  \n",
+       "64052               Action, Horror, Sci-Fi  "
       ]
      },
      "metadata": {},
@@ -1754,71 +1429,71 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>521</th>\n",
-       "      <td>523.0</td>\n",
+       "      <th>103</th>\n",
+       "      <td>105.0</td>\n",
        "      <td>1</td>\n",
        "      <td>Great Day in Harlem, A (1994)</td>\n",
        "      <td>Documentary</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1463</th>\n",
-       "      <td>523.0</td>\n",
+       "      <th>1046</th>\n",
+       "      <td>105.0</td>\n",
        "      <td>2</td>\n",
        "      <td>Tough and Deadly (1995)</td>\n",
        "      <td>Action, Drama, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2405</th>\n",
-       "      <td>523.0</td>\n",
+       "      <th>1988</th>\n",
+       "      <td>105.0</td>\n",
        "      <td>3</td>\n",
        "      <td>Aiqing wansui (1994)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3347</th>\n",
-       "      <td>523.0</td>\n",
+       "      <th>2930</th>\n",
+       "      <td>105.0</td>\n",
        "      <td>4</td>\n",
        "      <td>Delta of Venus (1994)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4289</th>\n",
-       "      <td>523.0</td>\n",
+       "      <th>3872</th>\n",
+       "      <td>105.0</td>\n",
        "      <td>5</td>\n",
        "      <td>Someone Else's America (1995)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5231</th>\n",
-       "      <td>523.0</td>\n",
+       "      <th>4814</th>\n",
+       "      <td>105.0</td>\n",
        "      <td>6</td>\n",
        "      <td>Saint of Fort Washington, The (1993)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6173</th>\n",
-       "      <td>523.0</td>\n",
+       "      <th>5755</th>\n",
+       "      <td>105.0</td>\n",
        "      <td>7</td>\n",
        "      <td>Celestial Clockwork (1994)</td>\n",
        "      <td>Comedy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7116</th>\n",
-       "      <td>523.0</td>\n",
+       "      <th>6698</th>\n",
+       "      <td>105.0</td>\n",
        "      <td>8</td>\n",
        "      <td>Some Mother's Son (1996)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9010</th>\n",
-       "      <td>523.0</td>\n",
+       "      <th>8592</th>\n",
+       "      <td>105.0</td>\n",
        "      <td>9</td>\n",
        "      <td>Maya Lin: A Strong Clear Vision (1994)</td>\n",
        "      <td>Documentary</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8056</th>\n",
-       "      <td>523.0</td>\n",
+       "      <th>7638</th>\n",
+       "      <td>105.0</td>\n",
        "      <td>10</td>\n",
        "      <td>Prefontaine (1997)</td>\n",
        "      <td>Drama</td>\n",
@@ -1829,31 +1504,31 @@
       ],
       "text/plain": [
        "       user  rec_nb                                   title  \\\n",
-       "521   523.0       1           Great Day in Harlem, A (1994)   \n",
-       "1463  523.0       2                 Tough and Deadly (1995)   \n",
-       "2405  523.0       3                    Aiqing wansui (1994)   \n",
-       "3347  523.0       4                   Delta of Venus (1994)   \n",
-       "4289  523.0       5           Someone Else's America (1995)   \n",
-       "5231  523.0       6    Saint of Fort Washington, The (1993)   \n",
-       "6173  523.0       7              Celestial Clockwork (1994)   \n",
-       "7116  523.0       8                Some Mother's Son (1996)   \n",
-       "9010  523.0       9  Maya Lin: A Strong Clear Vision (1994)   \n",
-       "8056  523.0      10                      Prefontaine (1997)   \n",
+       "103   105.0       1           Great Day in Harlem, A (1994)   \n",
+       "1046  105.0       2                 Tough and Deadly (1995)   \n",
+       "1988  105.0       3                    Aiqing wansui (1994)   \n",
+       "2930  105.0       4                   Delta of Venus (1994)   \n",
+       "3872  105.0       5           Someone Else's America (1995)   \n",
+       "4814  105.0       6    Saint of Fort Washington, The (1993)   \n",
+       "5755  105.0       7              Celestial Clockwork (1994)   \n",
+       "6698  105.0       8                Some Mother's Son (1996)   \n",
+       "8592  105.0       9  Maya Lin: A Strong Clear Vision (1994)   \n",
+       "7638  105.0      10                      Prefontaine (1997)   \n",
        "\n",
        "                       genres  \n",
-       "521               Documentary  \n",
-       "1463  Action, Drama, Thriller  \n",
-       "2405                    Drama  \n",
-       "3347                    Drama  \n",
-       "4289                    Drama  \n",
-       "5231                    Drama  \n",
-       "6173                   Comedy  \n",
-       "7116                    Drama  \n",
-       "9010              Documentary  \n",
-       "8056                    Drama  "
+       "103               Documentary  \n",
+       "1046  Action, Drama, Thriller  \n",
+       "1988                    Drama  \n",
+       "2930                    Drama  \n",
+       "3872                    Drama  \n",
+       "4814                    Drama  \n",
+       "5755                   Comedy  \n",
+       "6698                    Drama  \n",
+       "8592              Documentary  \n",
+       "7638                    Drama  "
       ]
      },
-     "execution_count": 66,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1913,29 +1588,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 8687.43it/s]\n",
-      "943it [00:00, 7296.38it/s]\n",
-      "943it [00:00, 8704.77it/s]\n",
-      "943it [00:00, 8001.89it/s]\n",
-      "943it [00:00, 8997.15it/s]\n",
-      "943it [00:00, 8387.52it/s]\n",
-      "943it [00:00, 8062.71it/s]\n",
-      "943it [00:00, 7400.45it/s]\n",
-      "943it [00:00, 7525.94it/s]\n",
-      "943it [00:00, 8338.86it/s]\n",
-      "943it [00:00, 8715.87it/s]\n",
-      "943it [00:00, 8283.65it/s]\n",
-      "943it [00:00, 8345.05it/s]\n",
-      "943it [00:00, 7972.31it/s]\n",
-      "943it [00:00, 8179.38it/s]\n",
-      "943it [00:00, 8320.16it/s]\n"
+      "943it [00:00, 9023.32it/s]\n",
+      "943it [00:00, 9004.98it/s]\n",
+      "943it [00:00, 8532.40it/s]\n",
+      "943it [00:00, 8974.06it/s]\n",
+      "943it [00:00, 8818.01it/s]\n"
      ]
     },
     {
@@ -1982,27 +1646,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_RP3Beta</td>\n",
-       "      <td>3.702446</td>\n",
-       "      <td>3.527273</td>\n",
-       "      <td>0.282185</td>\n",
-       "      <td>0.192092</td>\n",
-       "      <td>0.186749</td>\n",
-       "      <td>0.216980</td>\n",
-       "      <td>0.204185</td>\n",
-       "      <td>0.240096</td>\n",
-       "      <td>0.339114</td>\n",
-       "      <td>0.204905</td>\n",
-       "      <td>0.572157</td>\n",
-       "      <td>0.593544</td>\n",
-       "      <td>0.875928</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.077201</td>\n",
-       "      <td>3.875892</td>\n",
-       "      <td>0.974947</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_TopPop</td>\n",
        "      <td>2.508258</td>\n",
        "      <td>2.217909</td>\n",
@@ -2024,69 +1667,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_SVD</td>\n",
-       "      <td>0.952784</td>\n",
-       "      <td>0.750597</td>\n",
-       "      <td>0.095228</td>\n",
-       "      <td>0.047497</td>\n",
-       "      <td>0.053142</td>\n",
-       "      <td>0.067082</td>\n",
-       "      <td>0.084871</td>\n",
-       "      <td>0.076457</td>\n",
-       "      <td>0.109075</td>\n",
-       "      <td>0.050124</td>\n",
-       "      <td>0.241366</td>\n",
-       "      <td>0.520459</td>\n",
-       "      <td>0.499470</td>\n",
-       "      <td>0.992047</td>\n",
-       "      <td>0.217893</td>\n",
-       "      <td>4.405246</td>\n",
-       "      <td>0.953484</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_SVDBaseline</td>\n",
-       "      <td>0.930321</td>\n",
-       "      <td>0.734643</td>\n",
-       "      <td>0.092683</td>\n",
-       "      <td>0.042046</td>\n",
-       "      <td>0.048568</td>\n",
-       "      <td>0.063218</td>\n",
-       "      <td>0.082940</td>\n",
-       "      <td>0.068730</td>\n",
-       "      <td>0.098937</td>\n",
-       "      <td>0.044405</td>\n",
-       "      <td>0.203936</td>\n",
-       "      <td>0.517696</td>\n",
-       "      <td>0.469777</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.058442</td>\n",
-       "      <td>3.085857</td>\n",
-       "      <td>0.988824</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_SVDBiased</td>\n",
-       "      <td>0.940375</td>\n",
-       "      <td>0.742264</td>\n",
-       "      <td>0.092153</td>\n",
-       "      <td>0.039645</td>\n",
-       "      <td>0.046804</td>\n",
-       "      <td>0.061886</td>\n",
-       "      <td>0.079399</td>\n",
-       "      <td>0.055967</td>\n",
-       "      <td>0.102017</td>\n",
-       "      <td>0.047972</td>\n",
-       "      <td>0.216876</td>\n",
-       "      <td>0.516515</td>\n",
-       "      <td>0.441145</td>\n",
-       "      <td>0.997455</td>\n",
-       "      <td>0.167388</td>\n",
-       "      <td>4.235348</td>\n",
-       "      <td>0.962085</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Ready_Baseline</td>\n",
        "      <td>0.949459</td>\n",
        "      <td>0.752487</td>\n",
@@ -2108,27 +1688,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_SVD</td>\n",
-       "      <td>0.939326</td>\n",
-       "      <td>0.740022</td>\n",
-       "      <td>0.074549</td>\n",
-       "      <td>0.031755</td>\n",
-       "      <td>0.038425</td>\n",
-       "      <td>0.050562</td>\n",
-       "      <td>0.065665</td>\n",
-       "      <td>0.050602</td>\n",
-       "      <td>0.077117</td>\n",
-       "      <td>0.031574</td>\n",
-       "      <td>0.165509</td>\n",
-       "      <td>0.512485</td>\n",
-       "      <td>0.414634</td>\n",
-       "      <td>0.981866</td>\n",
-       "      <td>0.080087</td>\n",
-       "      <td>3.858982</td>\n",
-       "      <td>0.975271</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_GlobalAvg</td>\n",
        "      <td>1.125760</td>\n",
        "      <td>0.943534</td>\n",
@@ -2151,128 +1710,23 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>1.518551</td>\n",
-       "      <td>1.218784</td>\n",
-       "      <td>0.050583</td>\n",
-       "      <td>0.024085</td>\n",
-       "      <td>0.027323</td>\n",
-       "      <td>0.034826</td>\n",
-       "      <td>0.031223</td>\n",
-       "      <td>0.026436</td>\n",
-       "      <td>0.054902</td>\n",
-       "      <td>0.020652</td>\n",
-       "      <td>0.137928</td>\n",
-       "      <td>0.508570</td>\n",
-       "      <td>0.353128</td>\n",
-       "      <td>0.987699</td>\n",
-       "      <td>0.183261</td>\n",
-       "      <td>5.093805</td>\n",
-       "      <td>0.908215</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNN</td>\n",
-       "      <td>1.030386</td>\n",
-       "      <td>0.813067</td>\n",
-       "      <td>0.026087</td>\n",
-       "      <td>0.006908</td>\n",
-       "      <td>0.010593</td>\n",
-       "      <td>0.016046</td>\n",
-       "      <td>0.021137</td>\n",
-       "      <td>0.009522</td>\n",
-       "      <td>0.024214</td>\n",
-       "      <td>0.008958</td>\n",
-       "      <td>0.048068</td>\n",
-       "      <td>0.499885</td>\n",
-       "      <td>0.154825</td>\n",
-       "      <td>0.402333</td>\n",
-       "      <td>0.434343</td>\n",
-       "      <td>5.133650</td>\n",
-       "      <td>0.877999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNNBaseline</td>\n",
-       "      <td>0.935327</td>\n",
-       "      <td>0.737424</td>\n",
-       "      <td>0.002545</td>\n",
-       "      <td>0.000755</td>\n",
-       "      <td>0.001105</td>\n",
-       "      <td>0.001602</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.000930</td>\n",
-       "      <td>0.003444</td>\n",
-       "      <td>0.001362</td>\n",
-       "      <td>0.011760</td>\n",
-       "      <td>0.496724</td>\n",
-       "      <td>0.021209</td>\n",
-       "      <td>0.482821</td>\n",
-       "      <td>0.059885</td>\n",
-       "      <td>2.232578</td>\n",
-       "      <td>0.994487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNNBaseline</td>\n",
-       "      <td>0.935327</td>\n",
-       "      <td>0.737424</td>\n",
-       "      <td>0.002545</td>\n",
-       "      <td>0.000755</td>\n",
-       "      <td>0.001105</td>\n",
-       "      <td>0.001602</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.000930</td>\n",
-       "      <td>0.003444</td>\n",
-       "      <td>0.001362</td>\n",
-       "      <td>0.011760</td>\n",
-       "      <td>0.496724</td>\n",
-       "      <td>0.021209</td>\n",
-       "      <td>0.482821</td>\n",
-       "      <td>0.059885</td>\n",
-       "      <td>2.232578</td>\n",
-       "      <td>0.994487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNN</td>\n",
-       "      <td>1.023495</td>\n",
-       "      <td>0.807913</td>\n",
-       "      <td>0.000742</td>\n",
-       "      <td>0.000205</td>\n",
-       "      <td>0.000305</td>\n",
-       "      <td>0.000449</td>\n",
-       "      <td>0.000536</td>\n",
-       "      <td>0.000198</td>\n",
-       "      <td>0.000845</td>\n",
-       "      <td>0.000274</td>\n",
-       "      <td>0.002744</td>\n",
-       "      <td>0.496441</td>\n",
-       "      <td>0.007423</td>\n",
-       "      <td>0.602121</td>\n",
-       "      <td>0.010823</td>\n",
-       "      <td>2.089186</td>\n",
-       "      <td>0.995706</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_TopRated</td>\n",
-       "      <td>1.033085</td>\n",
-       "      <td>0.822057</td>\n",
-       "      <td>0.000954</td>\n",
-       "      <td>0.000188</td>\n",
-       "      <td>0.000298</td>\n",
-       "      <td>0.000481</td>\n",
-       "      <td>0.000644</td>\n",
-       "      <td>0.000223</td>\n",
-       "      <td>0.001043</td>\n",
-       "      <td>0.000335</td>\n",
-       "      <td>0.003348</td>\n",
-       "      <td>0.496433</td>\n",
-       "      <td>0.009544</td>\n",
-       "      <td>0.699046</td>\n",
-       "      <td>0.005051</td>\n",
-       "      <td>1.945910</td>\n",
-       "      <td>0.995669</td>\n",
+       "      <td>1.518964</td>\n",
+       "      <td>1.222159</td>\n",
+       "      <td>0.046554</td>\n",
+       "      <td>0.020603</td>\n",
+       "      <td>0.023679</td>\n",
+       "      <td>0.031216</td>\n",
+       "      <td>0.028970</td>\n",
+       "      <td>0.021179</td>\n",
+       "      <td>0.050489</td>\n",
+       "      <td>0.019185</td>\n",
+       "      <td>0.123856</td>\n",
+       "      <td>0.506812</td>\n",
+       "      <td>0.322375</td>\n",
+       "      <td>0.987805</td>\n",
+       "      <td>0.184704</td>\n",
+       "      <td>5.103172</td>\n",
+       "      <td>0.906873</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -2295,88 +1749,34 @@
        "      <td>1.803126</td>\n",
        "      <td>0.996380</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_IKNN</td>\n",
-       "      <td>1.018363</td>\n",
-       "      <td>0.808793</td>\n",
-       "      <td>0.000318</td>\n",
-       "      <td>0.000108</td>\n",
-       "      <td>0.000140</td>\n",
-       "      <td>0.000189</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000214</td>\n",
-       "      <td>0.000037</td>\n",
-       "      <td>0.000368</td>\n",
-       "      <td>0.496391</td>\n",
-       "      <td>0.003181</td>\n",
-       "      <td>0.392153</td>\n",
-       "      <td>0.115440</td>\n",
-       "      <td>4.174741</td>\n",
-       "      <td>0.965327</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                 Model      RMSE       MAE  precision    recall       F_1  \\\n",
-       "0         Self_RP3Beta  3.702446  3.527273   0.282185  0.192092  0.186749   \n",
-       "0          Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
-       "0            Ready_SVD  0.952784  0.750597   0.095228  0.047497  0.053142   \n",
-       "0     Self_SVDBaseline  0.930321  0.734643   0.092683  0.042046  0.048568   \n",
-       "0      Ready_SVDBiased  0.940375  0.742264   0.092153  0.039645  0.046804   \n",
-       "0       Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
-       "0             Self_SVD  0.939326  0.740022   0.074549  0.031755  0.038425   \n",
-       "0       Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
-       "0         Ready_Random  1.518551  1.218784   0.050583  0.024085  0.027323   \n",
-       "0          Ready_I-KNN  1.030386  0.813067   0.026087  0.006908  0.010593   \n",
-       "0  Ready_I-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
-       "0  Ready_U-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
-       "0          Ready_U-KNN  1.023495  0.807913   0.000742  0.000205  0.000305   \n",
-       "0        Self_TopRated  1.033085  0.822057   0.000954  0.000188  0.000298   \n",
-       "0      Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
-       "0            Self_IKNN  1.018363  0.808793   0.000318  0.000108  0.000140   \n",
+       "             Model      RMSE       MAE  precision    recall       F_1  \\\n",
+       "0      Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
+       "0   Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
+       "0   Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
+       "0     Ready_Random  1.518964  1.222159   0.046554  0.020603  0.023679   \n",
+       "0  Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
        "\n",
        "       F_05  precision_super  recall_super      NDCG       mAP       MRR  \\\n",
-       "0  0.216980         0.204185      0.240096  0.339114  0.204905  0.572157   \n",
        "0  0.141584         0.130472      0.137473  0.214651  0.111707  0.400939   \n",
-       "0  0.067082         0.084871      0.076457  0.109075  0.050124  0.241366   \n",
-       "0  0.063218         0.082940      0.068730  0.098937  0.044405  0.203936   \n",
-       "0  0.061886         0.079399      0.055967  0.102017  0.047972  0.216876   \n",
        "0  0.061286         0.079614      0.056463  0.095957  0.043178  0.198193   \n",
-       "0  0.050562         0.065665      0.050602  0.077117  0.031574  0.165509   \n",
        "0  0.041343         0.040558      0.032107  0.067695  0.027470  0.171187   \n",
-       "0  0.034826         0.031223      0.026436  0.054902  0.020652  0.137928   \n",
-       "0  0.016046         0.021137      0.009522  0.024214  0.008958  0.048068   \n",
-       "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
-       "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
-       "0  0.000449         0.000536      0.000198  0.000845  0.000274  0.002744   \n",
-       "0  0.000481         0.000644      0.000223  0.001043  0.000335  0.003348   \n",
+       "0  0.031216         0.028970      0.021179  0.050489  0.019185  0.123856   \n",
        "0  0.000463         0.000644      0.000189  0.000752  0.000168  0.001677   \n",
-       "0  0.000189         0.000000      0.000000  0.000214  0.000037  0.000368   \n",
        "\n",
        "       LAUC        HR  Reco in test  Test coverage   Shannon      Gini  \n",
-       "0  0.593544  0.875928      1.000000       0.077201  3.875892  0.974947  \n",
        "0  0.555546  0.765642      1.000000       0.038961  3.159079  0.987317  \n",
-       "0  0.520459  0.499470      0.992047       0.217893  4.405246  0.953484  \n",
-       "0  0.517696  0.469777      1.000000       0.058442  3.085857  0.988824  \n",
-       "0  0.516515  0.441145      0.997455       0.167388  4.235348  0.962085  \n",
        "0  0.515501  0.437964      1.000000       0.033911  2.836513  0.991139  \n",
-       "0  0.512485  0.414634      0.981866       0.080087  3.858982  0.975271  \n",
        "0  0.509546  0.384942      1.000000       0.025974  2.711772  0.992003  \n",
-       "0  0.508570  0.353128      0.987699       0.183261  5.093805  0.908215  \n",
-       "0  0.499885  0.154825      0.402333       0.434343  5.133650  0.877999  \n",
-       "0  0.496724  0.021209      0.482821       0.059885  2.232578  0.994487  \n",
-       "0  0.496724  0.021209      0.482821       0.059885  2.232578  0.994487  \n",
-       "0  0.496441  0.007423      0.602121       0.010823  2.089186  0.995706  \n",
-       "0  0.496433  0.009544      0.699046       0.005051  1.945910  0.995669  \n",
-       "0  0.496424  0.009544      0.600530       0.005051  1.803126  0.996380  \n",
-       "0  0.496391  0.003181      0.392153       0.115440  4.174741  0.965327  "
+       "0  0.506812  0.322375      0.987805       0.184704  5.103172  0.906873  \n",
+       "0  0.496424  0.009544      0.600530       0.005051  1.803126  0.996380  "
       ]
      },
-     "execution_count": 72,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/P2. Evaluation.pdf b/P2. Evaluation.pdf
new file mode 100644
index 0000000..87c69c6
Binary files /dev/null and b/P2. Evaluation.pdf differ
diff --git a/P3. k-nearest neighbours.ipynb b/P3. k-nearest neighbours.ipynb
index a8ac072..09ab5e4 100644
--- a/P3. k-nearest neighbours.ipynb	
+++ b/P3. k-nearest neighbours.ipynb	
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -154,7 +154,7 @@
        " [20, 10, 5.0, 20, 5.0]]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -185,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -202,14 +202,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 8845.73it/s]\n"
+      "943it [00:00, 10667.92it/s]\n"
      ]
     },
     {
@@ -288,7 +288,7 @@
        "0  0.003181      0.392153        0.11544  4.174741  0.965327  "
       ]
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -306,29 +306,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 7423.18it/s]\n",
-      "943it [00:00, 7890.87it/s]\n",
-      "943it [00:00, 7370.82it/s]\n",
-      "943it [00:00, 8035.93it/s]\n",
-      "943it [00:00, 8071.70it/s]\n",
-      "943it [00:00, 7893.80it/s]\n",
-      "943it [00:00, 8159.55it/s]\n",
-      "943it [00:00, 7982.77it/s]\n",
-      "943it [00:00, 7514.53it/s]\n",
-      "943it [00:00, 8047.34it/s]\n",
-      "943it [00:00, 7874.80it/s]\n",
-      "943it [00:00, 7657.62it/s]\n",
-      "943it [00:00, 8281.73it/s]\n",
-      "943it [00:00, 8253.33it/s]\n",
-      "943it [00:00, 8332.31it/s]\n",
-      "943it [00:00, 8348.73it/s]\n"
+      "943it [00:00, 8975.00it/s]\n",
+      "943it [00:00, 10288.02it/s]\n",
+      "943it [00:00, 9740.46it/s]\n",
+      "943it [00:00, 10104.74it/s]\n",
+      "943it [00:00, 10418.45it/s]\n",
+      "943it [00:00, 10339.85it/s]\n"
      ]
     },
     {
@@ -375,27 +365,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_RP3Beta</td>\n",
-       "      <td>3.702446</td>\n",
-       "      <td>3.527273</td>\n",
-       "      <td>0.282185</td>\n",
-       "      <td>0.192092</td>\n",
-       "      <td>0.186749</td>\n",
-       "      <td>0.216980</td>\n",
-       "      <td>0.204185</td>\n",
-       "      <td>0.240096</td>\n",
-       "      <td>0.339114</td>\n",
-       "      <td>0.204905</td>\n",
-       "      <td>0.572157</td>\n",
-       "      <td>0.593544</td>\n",
-       "      <td>0.875928</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.077201</td>\n",
-       "      <td>3.875892</td>\n",
-       "      <td>0.974947</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_TopPop</td>\n",
        "      <td>2.508258</td>\n",
        "      <td>2.217909</td>\n",
@@ -417,69 +386,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_SVD</td>\n",
-       "      <td>0.952784</td>\n",
-       "      <td>0.750597</td>\n",
-       "      <td>0.095228</td>\n",
-       "      <td>0.047497</td>\n",
-       "      <td>0.053142</td>\n",
-       "      <td>0.067082</td>\n",
-       "      <td>0.084871</td>\n",
-       "      <td>0.076457</td>\n",
-       "      <td>0.109075</td>\n",
-       "      <td>0.050124</td>\n",
-       "      <td>0.241366</td>\n",
-       "      <td>0.520459</td>\n",
-       "      <td>0.499470</td>\n",
-       "      <td>0.992047</td>\n",
-       "      <td>0.217893</td>\n",
-       "      <td>4.405246</td>\n",
-       "      <td>0.953484</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_SVDBaseline</td>\n",
-       "      <td>0.930321</td>\n",
-       "      <td>0.734643</td>\n",
-       "      <td>0.092683</td>\n",
-       "      <td>0.042046</td>\n",
-       "      <td>0.048568</td>\n",
-       "      <td>0.063218</td>\n",
-       "      <td>0.082940</td>\n",
-       "      <td>0.068730</td>\n",
-       "      <td>0.098937</td>\n",
-       "      <td>0.044405</td>\n",
-       "      <td>0.203936</td>\n",
-       "      <td>0.517696</td>\n",
-       "      <td>0.469777</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.058442</td>\n",
-       "      <td>3.085857</td>\n",
-       "      <td>0.988824</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_SVDBiased</td>\n",
-       "      <td>0.940375</td>\n",
-       "      <td>0.742264</td>\n",
-       "      <td>0.092153</td>\n",
-       "      <td>0.039645</td>\n",
-       "      <td>0.046804</td>\n",
-       "      <td>0.061886</td>\n",
-       "      <td>0.079399</td>\n",
-       "      <td>0.055967</td>\n",
-       "      <td>0.102017</td>\n",
-       "      <td>0.047972</td>\n",
-       "      <td>0.216876</td>\n",
-       "      <td>0.516515</td>\n",
-       "      <td>0.441145</td>\n",
-       "      <td>0.997455</td>\n",
-       "      <td>0.167388</td>\n",
-       "      <td>4.235348</td>\n",
-       "      <td>0.962085</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Ready_Baseline</td>\n",
        "      <td>0.949459</td>\n",
        "      <td>0.752487</td>\n",
@@ -501,27 +407,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_SVD</td>\n",
-       "      <td>0.939326</td>\n",
-       "      <td>0.740022</td>\n",
-       "      <td>0.074549</td>\n",
-       "      <td>0.031755</td>\n",
-       "      <td>0.038425</td>\n",
-       "      <td>0.050562</td>\n",
-       "      <td>0.065665</td>\n",
-       "      <td>0.050602</td>\n",
-       "      <td>0.077117</td>\n",
-       "      <td>0.031574</td>\n",
-       "      <td>0.165509</td>\n",
-       "      <td>0.512485</td>\n",
-       "      <td>0.414634</td>\n",
-       "      <td>0.981866</td>\n",
-       "      <td>0.080087</td>\n",
-       "      <td>3.858982</td>\n",
-       "      <td>0.975271</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_GlobalAvg</td>\n",
        "      <td>1.125760</td>\n",
        "      <td>0.943534</td>\n",
@@ -544,128 +429,23 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>1.518551</td>\n",
-       "      <td>1.218784</td>\n",
-       "      <td>0.050583</td>\n",
-       "      <td>0.024085</td>\n",
-       "      <td>0.027323</td>\n",
-       "      <td>0.034826</td>\n",
-       "      <td>0.031223</td>\n",
-       "      <td>0.026436</td>\n",
-       "      <td>0.054902</td>\n",
-       "      <td>0.020652</td>\n",
-       "      <td>0.137928</td>\n",
-       "      <td>0.508570</td>\n",
-       "      <td>0.353128</td>\n",
-       "      <td>0.987699</td>\n",
-       "      <td>0.183261</td>\n",
-       "      <td>5.093805</td>\n",
-       "      <td>0.908215</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNN</td>\n",
-       "      <td>1.030386</td>\n",
-       "      <td>0.813067</td>\n",
-       "      <td>0.026087</td>\n",
-       "      <td>0.006908</td>\n",
-       "      <td>0.010593</td>\n",
-       "      <td>0.016046</td>\n",
-       "      <td>0.021137</td>\n",
-       "      <td>0.009522</td>\n",
-       "      <td>0.024214</td>\n",
-       "      <td>0.008958</td>\n",
-       "      <td>0.048068</td>\n",
-       "      <td>0.499885</td>\n",
-       "      <td>0.154825</td>\n",
-       "      <td>0.402333</td>\n",
-       "      <td>0.434343</td>\n",
-       "      <td>5.133650</td>\n",
-       "      <td>0.877999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNNBaseline</td>\n",
-       "      <td>0.935327</td>\n",
-       "      <td>0.737424</td>\n",
-       "      <td>0.002545</td>\n",
-       "      <td>0.000755</td>\n",
-       "      <td>0.001105</td>\n",
-       "      <td>0.001602</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.000930</td>\n",
-       "      <td>0.003444</td>\n",
-       "      <td>0.001362</td>\n",
-       "      <td>0.011760</td>\n",
-       "      <td>0.496724</td>\n",
-       "      <td>0.021209</td>\n",
-       "      <td>0.482821</td>\n",
-       "      <td>0.059885</td>\n",
-       "      <td>2.232578</td>\n",
-       "      <td>0.994487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_I-KNNBaseline</td>\n",
-       "      <td>0.935327</td>\n",
-       "      <td>0.737424</td>\n",
-       "      <td>0.002545</td>\n",
-       "      <td>0.000755</td>\n",
-       "      <td>0.001105</td>\n",
-       "      <td>0.001602</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.000930</td>\n",
-       "      <td>0.003444</td>\n",
-       "      <td>0.001362</td>\n",
-       "      <td>0.011760</td>\n",
-       "      <td>0.496724</td>\n",
-       "      <td>0.021209</td>\n",
-       "      <td>0.482821</td>\n",
-       "      <td>0.059885</td>\n",
-       "      <td>2.232578</td>\n",
-       "      <td>0.994487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_U-KNN</td>\n",
-       "      <td>1.023495</td>\n",
-       "      <td>0.807913</td>\n",
-       "      <td>0.000742</td>\n",
-       "      <td>0.000205</td>\n",
-       "      <td>0.000305</td>\n",
-       "      <td>0.000449</td>\n",
-       "      <td>0.000536</td>\n",
-       "      <td>0.000198</td>\n",
-       "      <td>0.000845</td>\n",
-       "      <td>0.000274</td>\n",
-       "      <td>0.002744</td>\n",
-       "      <td>0.496441</td>\n",
-       "      <td>0.007423</td>\n",
-       "      <td>0.602121</td>\n",
-       "      <td>0.010823</td>\n",
-       "      <td>2.089186</td>\n",
-       "      <td>0.995706</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_TopRated</td>\n",
-       "      <td>1.033085</td>\n",
-       "      <td>0.822057</td>\n",
-       "      <td>0.000954</td>\n",
-       "      <td>0.000188</td>\n",
-       "      <td>0.000298</td>\n",
-       "      <td>0.000481</td>\n",
-       "      <td>0.000644</td>\n",
-       "      <td>0.000223</td>\n",
-       "      <td>0.001043</td>\n",
-       "      <td>0.000335</td>\n",
-       "      <td>0.003348</td>\n",
-       "      <td>0.496433</td>\n",
-       "      <td>0.009544</td>\n",
-       "      <td>0.699046</td>\n",
-       "      <td>0.005051</td>\n",
-       "      <td>1.945910</td>\n",
-       "      <td>0.995669</td>\n",
+       "      <td>1.518964</td>\n",
+       "      <td>1.222159</td>\n",
+       "      <td>0.046554</td>\n",
+       "      <td>0.020603</td>\n",
+       "      <td>0.023679</td>\n",
+       "      <td>0.031216</td>\n",
+       "      <td>0.028970</td>\n",
+       "      <td>0.021179</td>\n",
+       "      <td>0.050489</td>\n",
+       "      <td>0.019185</td>\n",
+       "      <td>0.123856</td>\n",
+       "      <td>0.506812</td>\n",
+       "      <td>0.322375</td>\n",
+       "      <td>0.987805</td>\n",
+       "      <td>0.184704</td>\n",
+       "      <td>5.103172</td>\n",
+       "      <td>0.906873</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -714,62 +494,32 @@
        "</div>"
       ],
       "text/plain": [
-       "                 Model      RMSE       MAE  precision    recall       F_1  \\\n",
-       "0         Self_RP3Beta  3.702446  3.527273   0.282185  0.192092  0.186749   \n",
-       "0          Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
-       "0            Ready_SVD  0.952784  0.750597   0.095228  0.047497  0.053142   \n",
-       "0     Self_SVDBaseline  0.930321  0.734643   0.092683  0.042046  0.048568   \n",
-       "0      Ready_SVDBiased  0.940375  0.742264   0.092153  0.039645  0.046804   \n",
-       "0       Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
-       "0             Self_SVD  0.939326  0.740022   0.074549  0.031755  0.038425   \n",
-       "0       Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
-       "0         Ready_Random  1.518551  1.218784   0.050583  0.024085  0.027323   \n",
-       "0          Ready_I-KNN  1.030386  0.813067   0.026087  0.006908  0.010593   \n",
-       "0  Ready_U-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
-       "0  Ready_I-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
-       "0          Ready_U-KNN  1.023495  0.807913   0.000742  0.000205  0.000305   \n",
-       "0        Self_TopRated  1.033085  0.822057   0.000954  0.000188  0.000298   \n",
-       "0      Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
-       "0            Self_IKNN  1.018363  0.808793   0.000318  0.000108  0.000140   \n",
+       "             Model      RMSE       MAE  precision    recall       F_1  \\\n",
+       "0      Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
+       "0   Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
+       "0   Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
+       "0     Ready_Random  1.518964  1.222159   0.046554  0.020603  0.023679   \n",
+       "0  Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
+       "0        Self_IKNN  1.018363  0.808793   0.000318  0.000108  0.000140   \n",
        "\n",
        "       F_05  precision_super  recall_super      NDCG       mAP       MRR  \\\n",
-       "0  0.216980         0.204185      0.240096  0.339114  0.204905  0.572157   \n",
        "0  0.141584         0.130472      0.137473  0.214651  0.111707  0.400939   \n",
-       "0  0.067082         0.084871      0.076457  0.109075  0.050124  0.241366   \n",
-       "0  0.063218         0.082940      0.068730  0.098937  0.044405  0.203936   \n",
-       "0  0.061886         0.079399      0.055967  0.102017  0.047972  0.216876   \n",
        "0  0.061286         0.079614      0.056463  0.095957  0.043178  0.198193   \n",
-       "0  0.050562         0.065665      0.050602  0.077117  0.031574  0.165509   \n",
        "0  0.041343         0.040558      0.032107  0.067695  0.027470  0.171187   \n",
-       "0  0.034826         0.031223      0.026436  0.054902  0.020652  0.137928   \n",
-       "0  0.016046         0.021137      0.009522  0.024214  0.008958  0.048068   \n",
-       "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
-       "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
-       "0  0.000449         0.000536      0.000198  0.000845  0.000274  0.002744   \n",
-       "0  0.000481         0.000644      0.000223  0.001043  0.000335  0.003348   \n",
+       "0  0.031216         0.028970      0.021179  0.050489  0.019185  0.123856   \n",
        "0  0.000463         0.000644      0.000189  0.000752  0.000168  0.001677   \n",
        "0  0.000189         0.000000      0.000000  0.000214  0.000037  0.000368   \n",
        "\n",
        "       LAUC        HR  Reco in test  Test coverage   Shannon      Gini  \n",
-       "0  0.593544  0.875928      1.000000       0.077201  3.875892  0.974947  \n",
        "0  0.555546  0.765642      1.000000       0.038961  3.159079  0.987317  \n",
-       "0  0.520459  0.499470      0.992047       0.217893  4.405246  0.953484  \n",
-       "0  0.517696  0.469777      1.000000       0.058442  3.085857  0.988824  \n",
-       "0  0.516515  0.441145      0.997455       0.167388  4.235348  0.962085  \n",
        "0  0.515501  0.437964      1.000000       0.033911  2.836513  0.991139  \n",
-       "0  0.512485  0.414634      0.981866       0.080087  3.858982  0.975271  \n",
        "0  0.509546  0.384942      1.000000       0.025974  2.711772  0.992003  \n",
-       "0  0.508570  0.353128      0.987699       0.183261  5.093805  0.908215  \n",
-       "0  0.499885  0.154825      0.402333       0.434343  5.133650  0.877999  \n",
-       "0  0.496724  0.021209      0.482821       0.059885  2.232578  0.994487  \n",
-       "0  0.496724  0.021209      0.482821       0.059885  2.232578  0.994487  \n",
-       "0  0.496441  0.007423      0.602121       0.010823  2.089186  0.995706  \n",
-       "0  0.496433  0.009544      0.699046       0.005051  1.945910  0.995669  \n",
+       "0  0.506812  0.322375      0.987805       0.184704  5.103172  0.906873  \n",
        "0  0.496424  0.009544      0.600530       0.005051  1.803126  0.996380  \n",
        "0  0.496391  0.003181      0.392153       0.115440  4.174741  0.965327  "
       ]
      },
-     "execution_count": 8,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -802,7 +552,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -828,7 +578,7 @@
     "algo = sp.KNNBasic(sim_options=sim_options)\n",
     "\n",
     "helpers.ready_made(algo, reco_path='Recommendations generated/ml-100k/Ready_I-KNN_reco.csv',\n",
-    "          estimations_path='Recommendations generated/ml-100k/Ready_Baseline_I-KNN_estimations.csv')"
+    "          estimations_path='Recommendations generated/ml-100k/Ready_I-KNN_estimations.csv')"
    ]
   },
   {
@@ -840,7 +590,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -849,27 +599,10 @@
      "text": [
       "Computing the cosine similarity matrix...\n",
       "Done computing similarity matrix.\n",
+      "Generating predictions...\n",
+      "Generating top N recommendations...\n",
       "Generating predictions...\n"
      ]
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-10-dd4f59625a08>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m helpers.ready_made(algo, reco_path='Recommendations generated/ml-100k/Ready_U-KNN_reco.csv',\n\u001b[0;32m---> 11\u001b[0;31m           estimations_path='Recommendations generated/ml-100k/Ready_Baseline_U-KNN_estimations.csv')\n\u001b[0m",
-      "\u001b[0;32m/mnt/c/Users/rkwie/Repositories/Warsztaty z uczenia maszynowego - systemy rekomendacyjne/helpers.py\u001b[0m in \u001b[0;36mready_made\u001b[0;34m(algo, reco_path, estimations_path)\u001b[0m\n\u001b[1;32m     61\u001b[0m     \u001b[0mantitrainset\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrainset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuild_anti_testset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# We want to predict ratings of pairs (user, item) which are not in train set\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     62\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Generating predictions...'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 63\u001b[0;31m     \u001b[0mpredictions\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0malgo\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mantitrainset\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     64\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Generating top N recommendations...'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m     \u001b[0mtop_n\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_top_n\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpredictions\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.local/lib/python3.6/site-packages/surprise/prediction_algorithms/algo_base.py\u001b[0m in \u001b[0;36mtest\u001b[0;34m(self, testset, verbose)\u001b[0m\n\u001b[1;32m    165\u001b[0m                                     \u001b[0mr_ui_trans\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m                                     verbose=verbose)\n\u001b[0;32m--> 167\u001b[0;31m                        for (uid, iid, r_ui_trans) in testset]\n\u001b[0m\u001b[1;32m    168\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mpredictions\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    169\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.local/lib/python3.6/site-packages/surprise/prediction_algorithms/algo_base.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    165\u001b[0m                                     \u001b[0mr_ui_trans\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m                                     verbose=verbose)\n\u001b[0;32m--> 167\u001b[0;31m                        for (uid, iid, r_ui_trans) in testset]\n\u001b[0m\u001b[1;32m    168\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mpredictions\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    169\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.local/lib/python3.6/site-packages/surprise/prediction_algorithms/algo_base.py\u001b[0m in \u001b[0;36mpredict\u001b[0;34m(self, uid, iid, r_ui, clip, verbose)\u001b[0m\n\u001b[1;32m    103\u001b[0m         \u001b[0mdetails\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    104\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 105\u001b[0;31m             \u001b[0mest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mestimate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miuid\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0miiid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    106\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    107\u001b[0m             \u001b[0;31m# If the details dict was also returned\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.local/lib/python3.6/site-packages/surprise/prediction_algorithms/knns.py\u001b[0m in \u001b[0;36mestimate\u001b[0;34m(self, u, i)\u001b[0m\n\u001b[1;32m    109\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m         \u001b[0mneighbors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msim\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mx2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m         \u001b[0mk_neighbors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mheapq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlargest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mneighbors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m         \u001b[0;31m# compute weighted average\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/usr/lib/python3.6/heapq.py\u001b[0m in \u001b[0;36mnlargest\u001b[0;34m(n, iterable, key)\u001b[0m\n\u001b[1;32m    567\u001b[0m     \u001b[0;31m# General case, slowest method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    568\u001b[0m     \u001b[0mit\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0miter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miterable\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 569\u001b[0;31m     \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0melem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0melem\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0melem\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mit\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    570\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    571\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/usr/lib/python3.6/heapq.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    567\u001b[0m     \u001b[0;31m# General case, slowest method\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    568\u001b[0m     \u001b[0mit\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0miter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miterable\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 569\u001b[0;31m     \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0melem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0melem\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0melem\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mit\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    570\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    571\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.local/lib/python3.6/site-packages/surprise/prediction_algorithms/knns.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(t)\u001b[0m\n\u001b[1;32m    109\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    110\u001b[0m         \u001b[0mneighbors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msim\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mx2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myr\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 111\u001b[0;31m         \u001b[0mk_neighbors\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mheapq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlargest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mneighbors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    112\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    113\u001b[0m         \u001b[0;31m# compute weighted average\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
     }
    ],
    "source": [
@@ -883,7 +616,7 @@
     "algo = sp.KNNBasic(sim_options=sim_options)\n",
     "\n",
     "helpers.ready_made(algo, reco_path='Recommendations generated/ml-100k/Ready_U-KNN_reco.csv',\n",
-    "          estimations_path='Recommendations generated/ml-100k/Ready_Baseline_U-KNN_estimations.csv')"
+    "          estimations_path='Recommendations generated/ml-100k/Ready_U-KNN_estimations.csv')"
    ]
   },
   {
@@ -895,9 +628,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Estimating biases using als...\n",
+      "Computing the msd similarity matrix...\n",
+      "Done computing similarity matrix.\n",
+      "Generating predictions...\n",
+      "Generating top N recommendations...\n",
+      "Generating predictions...\n"
+     ]
+    }
+   ],
    "source": [
     "import helpers\n",
     "import surprise as sp\n",
diff --git a/P3. k-nearest neighbours.pdf b/P3. k-nearest neighbours.pdf
new file mode 100644
index 0000000..7f917e8
Binary files /dev/null and b/P3. k-nearest neighbours.pdf differ
diff --git a/P4. Appendix - embeddings in high demensional spaces.ipynb b/P4. Appendix - embeddings in high demensional spaces.ipynb
index 2fae83b..66bb58d 100644
--- a/P4. Appendix - embeddings in high demensional spaces.ipynb	
+++ b/P4. Appendix - embeddings in high demensional spaces.ipynb	
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -11,10 +11,10 @@
        "['dimensions: 1, cases when observation is the nearest: 0.0%',\n",
        " 'dimensions: 2, cases when observation is the nearest: 0.0%',\n",
        " 'dimensions: 3, cases when observation is the nearest: 0.0%',\n",
-       " 'dimensions: 10, cases when observation is the nearest: 10.0%',\n",
-       " 'dimensions: 20, cases when observation is the nearest: 61.0%',\n",
-       " 'dimensions: 30, cases when observation is the nearest: 96.0%',\n",
-       " 'dimensions: 40, cases when observation is the nearest: 98.0%',\n",
+       " 'dimensions: 10, cases when observation is the nearest: 14.000000000000002%',\n",
+       " 'dimensions: 20, cases when observation is the nearest: 65.0%',\n",
+       " 'dimensions: 30, cases when observation is the nearest: 100.0%',\n",
+       " 'dimensions: 40, cases when observation is the nearest: 100.0%',\n",
        " 'dimensions: 50, cases when observation is the nearest: 100.0%',\n",
        " 'dimensions: 60, cases when observation is the nearest: 100.0%',\n",
        " 'dimensions: 70, cases when observation is the nearest: 100.0%',\n",
@@ -22,7 +22,7 @@
        " 'dimensions: 90, cases when observation is the nearest: 100.0%']"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/P4. Matrix Factorization.ipynb b/P4. Matrix Factorization.ipynb
index cd7f7d3..a8e4857 100644
--- a/P4. Matrix Factorization.ipynb	
+++ b/P4. Matrix Factorization.ipynb	
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -121,14 +121,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Epoch 39 RMSE: 0.7493723517098142. Training epoch 40...: 100%|██████████| 40/40 [02:06<00:00,  3.16s/it]\n"
+      "Epoch 39 RMSE: 0.7480082047970615. Training epoch 40...: 100%|██████████| 40/40 [01:21<00:00,  2.05s/it]\n"
      ]
     }
    ],
@@ -139,24 +139,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f39a01f7c50>"
+       "<matplotlib.legend.Legend at 0x7f77ab510e48>"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<matplotlib.figure.Figure at 0x7f77a9afdba8>"
       ]
      },
      "metadata": {
@@ -176,24 +176,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x7f399be5f518>"
+       "<matplotlib.legend.Legend at 0x7f774c4e3fd0>"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<matplotlib.figure.Figure at 0x7f77a08e7748>"
       ]
      },
      "metadata": {
@@ -220,7 +220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -236,14 +236,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 4912.25it/s]\n"
+      "943it [00:00, 8982.19it/s]\n"
      ]
     },
     {
@@ -289,40 +289,40 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.9144</td>\n",
-       "      <td>0.718047</td>\n",
-       "      <td>0.103393</td>\n",
-       "      <td>0.043404</td>\n",
-       "      <td>0.05292</td>\n",
-       "      <td>0.070119</td>\n",
-       "      <td>0.093455</td>\n",
-       "      <td>0.074901</td>\n",
-       "      <td>0.107441</td>\n",
-       "      <td>0.05077</td>\n",
-       "      <td>0.200719</td>\n",
-       "      <td>0.518433</td>\n",
-       "      <td>0.4772</td>\n",
-       "      <td>0.866384</td>\n",
-       "      <td>0.145743</td>\n",
-       "      <td>3.860721</td>\n",
-       "      <td>0.972299</td>\n",
+       "      <td>0.914856</td>\n",
+       "      <td>0.718384</td>\n",
+       "      <td>0.100424</td>\n",
+       "      <td>0.040859</td>\n",
+       "      <td>0.050523</td>\n",
+       "      <td>0.067431</td>\n",
+       "      <td>0.090665</td>\n",
+       "      <td>0.068368</td>\n",
+       "      <td>0.101328</td>\n",
+       "      <td>0.047917</td>\n",
+       "      <td>0.183792</td>\n",
+       "      <td>0.517141</td>\n",
+       "      <td>0.459173</td>\n",
+       "      <td>0.860551</td>\n",
+       "      <td>0.146465</td>\n",
+       "      <td>3.853236</td>\n",
+       "      <td>0.971798</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "     RMSE       MAE  precision    recall      F_1      F_05  precision_super  \\\n",
-       "0  0.9144  0.718047   0.103393  0.043404  0.05292  0.070119         0.093455   \n",
+       "       RMSE       MAE  precision    recall       F_1      F_05  \\\n",
+       "0  0.914856  0.718384   0.100424  0.040859  0.050523  0.067431   \n",
        "\n",
-       "   recall_super      NDCG      mAP       MRR      LAUC      HR  Reco in test  \\\n",
-       "0      0.074901  0.107441  0.05077  0.200719  0.518433  0.4772      0.866384   \n",
+       "   precision_super  recall_super      NDCG       mAP       MRR      LAUC  \\\n",
+       "0         0.090665      0.068368  0.101328  0.047917  0.183792  0.517141   \n",
        "\n",
-       "   Test coverage   Shannon      Gini  \n",
-       "0       0.145743  3.860721  0.972299  "
+       "         HR  Reco in test  Test coverage   Shannon      Gini  \n",
+       "0  0.459173      0.860551       0.146465  3.853236  0.971798  "
       ]
      },
-     "execution_count": 18,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -341,29 +341,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 4816.30it/s]\n",
-      "943it [00:00, 4733.95it/s]\n",
-      "943it [00:00, 4623.19it/s]\n",
-      "943it [00:00, 5099.59it/s]\n",
-      "943it [00:00, 4968.40it/s]\n",
-      "943it [00:00, 5056.01it/s]\n",
-      "943it [00:00, 5009.35it/s]\n",
-      "943it [00:00, 3610.70it/s]\n",
-      "943it [00:00, 4280.45it/s]\n",
-      "943it [00:00, 4473.91it/s]\n",
-      "943it [00:00, 4438.83it/s]\n",
-      "943it [00:00, 5165.96it/s]\n",
-      "943it [00:00, 5259.28it/s]\n",
-      "943it [00:00, 4607.07it/s]\n",
-      "943it [00:00, 4329.45it/s]\n",
-      "943it [00:00, 4693.81it/s]\n"
+      "943it [00:00, 9603.22it/s]\n",
+      "943it [00:00, 8786.72it/s]\n",
+      "943it [00:00, 8141.95it/s]\n",
+      "943it [00:00, 8884.14it/s]\n",
+      "943it [00:00, 10117.77it/s]\n",
+      "943it [00:00, 8687.46it/s]\n",
+      "943it [00:00, 10361.84it/s]\n",
+      "943it [00:00, 10162.64it/s]\n",
+      "943it [00:00, 8493.19it/s]\n",
+      "943it [00:00, 9153.50it/s]\n"
      ]
     },
     {
@@ -410,27 +404,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_RP3Beta</td>\n",
-       "      <td>3.702446</td>\n",
-       "      <td>3.527273</td>\n",
-       "      <td>0.282185</td>\n",
-       "      <td>0.192092</td>\n",
-       "      <td>0.186749</td>\n",
-       "      <td>0.216980</td>\n",
-       "      <td>0.204185</td>\n",
-       "      <td>0.240096</td>\n",
-       "      <td>0.339114</td>\n",
-       "      <td>0.204905</td>\n",
-       "      <td>0.572157</td>\n",
-       "      <td>0.593544</td>\n",
-       "      <td>0.875928</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.077201</td>\n",
-       "      <td>3.875892</td>\n",
-       "      <td>0.974947</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_TopPop</td>\n",
        "      <td>2.508258</td>\n",
        "      <td>2.217909</td>\n",
@@ -452,87 +425,24 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_SVD</td>\n",
-       "      <td>0.952784</td>\n",
-       "      <td>0.750597</td>\n",
-       "      <td>0.095228</td>\n",
-       "      <td>0.047497</td>\n",
-       "      <td>0.053142</td>\n",
-       "      <td>0.067082</td>\n",
-       "      <td>0.084871</td>\n",
-       "      <td>0.076457</td>\n",
-       "      <td>0.109075</td>\n",
-       "      <td>0.050124</td>\n",
-       "      <td>0.241366</td>\n",
-       "      <td>0.520459</td>\n",
-       "      <td>0.499470</td>\n",
-       "      <td>0.992047</td>\n",
-       "      <td>0.217893</td>\n",
-       "      <td>4.405246</td>\n",
-       "      <td>0.953484</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_SVDBaseline</td>\n",
-       "      <td>0.913380</td>\n",
-       "      <td>0.719974</td>\n",
-       "      <td>0.105726</td>\n",
-       "      <td>0.045055</td>\n",
-       "      <td>0.054233</td>\n",
-       "      <td>0.071579</td>\n",
-       "      <td>0.096674</td>\n",
-       "      <td>0.075899</td>\n",
-       "      <td>0.119979</td>\n",
-       "      <td>0.059709</td>\n",
-       "      <td>0.251389</td>\n",
-       "      <td>0.519270</td>\n",
-       "      <td>0.476140</td>\n",
-       "      <td>0.999788</td>\n",
-       "      <td>0.115440</td>\n",
-       "      <td>3.578129</td>\n",
-       "      <td>0.980463</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_SVD</td>\n",
-       "      <td>0.914400</td>\n",
-       "      <td>0.718047</td>\n",
-       "      <td>0.103393</td>\n",
-       "      <td>0.043404</td>\n",
-       "      <td>0.052920</td>\n",
-       "      <td>0.070119</td>\n",
-       "      <td>0.093455</td>\n",
-       "      <td>0.074901</td>\n",
-       "      <td>0.107441</td>\n",
-       "      <td>0.050770</td>\n",
-       "      <td>0.200719</td>\n",
-       "      <td>0.518433</td>\n",
-       "      <td>0.477200</td>\n",
-       "      <td>0.866384</td>\n",
-       "      <td>0.145743</td>\n",
-       "      <td>3.860721</td>\n",
-       "      <td>0.972299</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_SVDBiased</td>\n",
-       "      <td>0.940375</td>\n",
-       "      <td>0.742264</td>\n",
-       "      <td>0.092153</td>\n",
-       "      <td>0.039645</td>\n",
-       "      <td>0.046804</td>\n",
-       "      <td>0.061886</td>\n",
-       "      <td>0.079399</td>\n",
-       "      <td>0.055967</td>\n",
-       "      <td>0.102017</td>\n",
-       "      <td>0.047972</td>\n",
-       "      <td>0.216876</td>\n",
-       "      <td>0.516515</td>\n",
-       "      <td>0.441145</td>\n",
-       "      <td>0.997455</td>\n",
-       "      <td>0.167388</td>\n",
-       "      <td>4.235348</td>\n",
-       "      <td>0.962085</td>\n",
+       "      <td>0.914856</td>\n",
+       "      <td>0.718384</td>\n",
+       "      <td>0.100424</td>\n",
+       "      <td>0.040859</td>\n",
+       "      <td>0.050523</td>\n",
+       "      <td>0.067431</td>\n",
+       "      <td>0.090665</td>\n",
+       "      <td>0.068368</td>\n",
+       "      <td>0.101328</td>\n",
+       "      <td>0.047917</td>\n",
+       "      <td>0.183792</td>\n",
+       "      <td>0.517141</td>\n",
+       "      <td>0.459173</td>\n",
+       "      <td>0.860551</td>\n",
+       "      <td>0.146465</td>\n",
+       "      <td>3.853236</td>\n",
+       "      <td>0.971798</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -579,23 +489,23 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>1.518551</td>\n",
-       "      <td>1.218784</td>\n",
-       "      <td>0.050583</td>\n",
-       "      <td>0.024085</td>\n",
-       "      <td>0.027323</td>\n",
-       "      <td>0.034826</td>\n",
-       "      <td>0.031223</td>\n",
-       "      <td>0.026436</td>\n",
-       "      <td>0.054902</td>\n",
-       "      <td>0.020652</td>\n",
-       "      <td>0.137928</td>\n",
-       "      <td>0.508570</td>\n",
-       "      <td>0.353128</td>\n",
-       "      <td>0.987699</td>\n",
-       "      <td>0.183261</td>\n",
-       "      <td>5.093805</td>\n",
-       "      <td>0.908215</td>\n",
+       "      <td>1.518964</td>\n",
+       "      <td>1.222159</td>\n",
+       "      <td>0.046554</td>\n",
+       "      <td>0.020603</td>\n",
+       "      <td>0.023679</td>\n",
+       "      <td>0.031216</td>\n",
+       "      <td>0.028970</td>\n",
+       "      <td>0.021179</td>\n",
+       "      <td>0.050489</td>\n",
+       "      <td>0.019185</td>\n",
+       "      <td>0.123856</td>\n",
+       "      <td>0.506812</td>\n",
+       "      <td>0.322375</td>\n",
+       "      <td>0.987805</td>\n",
+       "      <td>0.184704</td>\n",
+       "      <td>5.103172</td>\n",
+       "      <td>0.906873</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -620,27 +530,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_U-KNNBaseline</td>\n",
-       "      <td>0.935327</td>\n",
-       "      <td>0.737424</td>\n",
-       "      <td>0.002545</td>\n",
-       "      <td>0.000755</td>\n",
-       "      <td>0.001105</td>\n",
-       "      <td>0.001602</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.000930</td>\n",
-       "      <td>0.003444</td>\n",
-       "      <td>0.001362</td>\n",
-       "      <td>0.011760</td>\n",
-       "      <td>0.496724</td>\n",
-       "      <td>0.021209</td>\n",
-       "      <td>0.482821</td>\n",
-       "      <td>0.059885</td>\n",
-       "      <td>2.232578</td>\n",
-       "      <td>0.994487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Ready_I-KNNBaseline</td>\n",
        "      <td>0.935327</td>\n",
        "      <td>0.737424</td>\n",
@@ -683,27 +572,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_TopRated</td>\n",
-       "      <td>1.033085</td>\n",
-       "      <td>0.822057</td>\n",
-       "      <td>0.000954</td>\n",
-       "      <td>0.000188</td>\n",
-       "      <td>0.000298</td>\n",
-       "      <td>0.000481</td>\n",
-       "      <td>0.000644</td>\n",
-       "      <td>0.000223</td>\n",
-       "      <td>0.001043</td>\n",
-       "      <td>0.000335</td>\n",
-       "      <td>0.003348</td>\n",
-       "      <td>0.496433</td>\n",
-       "      <td>0.009544</td>\n",
-       "      <td>0.699046</td>\n",
-       "      <td>0.005051</td>\n",
-       "      <td>1.945910</td>\n",
-       "      <td>0.995669</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_BaselineUI</td>\n",
        "      <td>0.967585</td>\n",
        "      <td>0.762740</td>\n",
@@ -750,61 +618,43 @@
       ],
       "text/plain": [
        "                 Model      RMSE       MAE  precision    recall       F_1  \\\n",
-       "0         Self_RP3Beta  3.702446  3.527273   0.282185  0.192092  0.186749   \n",
        "0          Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
-       "0            Ready_SVD  0.952784  0.750597   0.095228  0.047497  0.053142   \n",
-       "0     Self_SVDBaseline  0.913380  0.719974   0.105726  0.045055  0.054233   \n",
-       "0             Self_SVD  0.914400  0.718047   0.103393  0.043404  0.052920   \n",
-       "0      Ready_SVDBiased  0.940375  0.742264   0.092153  0.039645  0.046804   \n",
+       "0             Self_SVD  0.914856  0.718384   0.100424  0.040859  0.050523   \n",
        "0       Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
        "0       Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
-       "0         Ready_Random  1.518551  1.218784   0.050583  0.024085  0.027323   \n",
+       "0         Ready_Random  1.518964  1.222159   0.046554  0.020603  0.023679   \n",
        "0          Ready_I-KNN  1.030386  0.813067   0.026087  0.006908  0.010593   \n",
-       "0  Ready_U-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
        "0  Ready_I-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
        "0          Ready_U-KNN  1.023495  0.807913   0.000742  0.000205  0.000305   \n",
-       "0        Self_TopRated  1.033085  0.822057   0.000954  0.000188  0.000298   \n",
        "0      Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
        "0            Self_IKNN  1.018363  0.808793   0.000318  0.000108  0.000140   \n",
        "\n",
        "       F_05  precision_super  recall_super      NDCG       mAP       MRR  \\\n",
-       "0  0.216980         0.204185      0.240096  0.339114  0.204905  0.572157   \n",
        "0  0.141584         0.130472      0.137473  0.214651  0.111707  0.400939   \n",
-       "0  0.067082         0.084871      0.076457  0.109075  0.050124  0.241366   \n",
-       "0  0.071579         0.096674      0.075899  0.119979  0.059709  0.251389   \n",
-       "0  0.070119         0.093455      0.074901  0.107441  0.050770  0.200719   \n",
-       "0  0.061886         0.079399      0.055967  0.102017  0.047972  0.216876   \n",
+       "0  0.067431         0.090665      0.068368  0.101328  0.047917  0.183792   \n",
        "0  0.061286         0.079614      0.056463  0.095957  0.043178  0.198193   \n",
        "0  0.041343         0.040558      0.032107  0.067695  0.027470  0.171187   \n",
-       "0  0.034826         0.031223      0.026436  0.054902  0.020652  0.137928   \n",
+       "0  0.031216         0.028970      0.021179  0.050489  0.019185  0.123856   \n",
        "0  0.016046         0.021137      0.009522  0.024214  0.008958  0.048068   \n",
        "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
-       "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
        "0  0.000449         0.000536      0.000198  0.000845  0.000274  0.002744   \n",
-       "0  0.000481         0.000644      0.000223  0.001043  0.000335  0.003348   \n",
        "0  0.000463         0.000644      0.000189  0.000752  0.000168  0.001677   \n",
        "0  0.000189         0.000000      0.000000  0.000214  0.000037  0.000368   \n",
        "\n",
        "       LAUC        HR  Reco in test  Test coverage   Shannon      Gini  \n",
-       "0  0.593544  0.875928      1.000000       0.077201  3.875892  0.974947  \n",
        "0  0.555546  0.765642      1.000000       0.038961  3.159079  0.987317  \n",
-       "0  0.520459  0.499470      0.992047       0.217893  4.405246  0.953484  \n",
-       "0  0.519270  0.476140      0.999788       0.115440  3.578129  0.980463  \n",
-       "0  0.518433  0.477200      0.866384       0.145743  3.860721  0.972299  \n",
-       "0  0.516515  0.441145      0.997455       0.167388  4.235348  0.962085  \n",
+       "0  0.517141  0.459173      0.860551       0.146465  3.853236  0.971798  \n",
        "0  0.515501  0.437964      1.000000       0.033911  2.836513  0.991139  \n",
        "0  0.509546  0.384942      1.000000       0.025974  2.711772  0.992003  \n",
-       "0  0.508570  0.353128      0.987699       0.183261  5.093805  0.908215  \n",
+       "0  0.506812  0.322375      0.987805       0.184704  5.103172  0.906873  \n",
        "0  0.499885  0.154825      0.402333       0.434343  5.133650  0.877999  \n",
        "0  0.496724  0.021209      0.482821       0.059885  2.232578  0.994487  \n",
-       "0  0.496724  0.021209      0.482821       0.059885  2.232578  0.994487  \n",
        "0  0.496441  0.007423      0.602121       0.010823  2.089186  0.995706  \n",
-       "0  0.496433  0.009544      0.699046       0.005051  1.945910  0.995669  \n",
        "0  0.496424  0.009544      0.600530       0.005051  1.803126  0.996380  \n",
        "0  0.496391  0.003181      0.392153       0.115440  4.174741  0.965327  "
       ]
      },
-     "execution_count": 37,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -830,7 +680,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -850,7 +700,7 @@
        "       [0.6       , 0.8       ]])"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -863,7 +713,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -898,125 +748,137 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>257</td>\n",
+       "      <td>916</td>\n",
        "      <td>1.000000</td>\n",
-       "      <td>258</td>\n",
-       "      <td>258</td>\n",
-       "      <td>Contact (1997)</td>\n",
-       "      <td>Drama, Sci-Fi</td>\n",
+       "      <td>917</td>\n",
+       "      <td>917</td>\n",
+       "      <td>Mercury Rising (1998)</td>\n",
+       "      <td>Action, Drama, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>221</td>\n",
-       "      <td>0.739090</td>\n",
-       "      <td>222</td>\n",
-       "      <td>222</td>\n",
-       "      <td>Star Trek: First Contact (1996)</td>\n",
-       "      <td>Action, Adventure, Sci-Fi</td>\n",
+       "      <td>914</td>\n",
+       "      <td>0.991506</td>\n",
+       "      <td>915</td>\n",
+       "      <td>915</td>\n",
+       "      <td>Primary Colors (1998)</td>\n",
+       "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>63</td>\n",
-       "      <td>0.736794</td>\n",
-       "      <td>64</td>\n",
-       "      <td>64</td>\n",
-       "      <td>Shawshank Redemption, The (1994)</td>\n",
+       "      <td>908</td>\n",
+       "      <td>0.990078</td>\n",
+       "      <td>909</td>\n",
+       "      <td>909</td>\n",
+       "      <td>Dangerous Beauty (1998)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>1162</td>\n",
-       "      <td>0.736777</td>\n",
-       "      <td>1163</td>\n",
-       "      <td>1163</td>\n",
-       "      <td>Portrait of a Lady, The (1996)</td>\n",
-       "      <td>Drama</td>\n",
+       "      <td>690</td>\n",
+       "      <td>0.989487</td>\n",
+       "      <td>691</td>\n",
+       "      <td>691</td>\n",
+       "      <td>Dark City (1998)</td>\n",
+       "      <td>Film-Noir, Sci-Fi, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>125</td>\n",
-       "      <td>0.736246</td>\n",
-       "      <td>126</td>\n",
-       "      <td>126</td>\n",
-       "      <td>Spitfire Grill, The (1996)</td>\n",
-       "      <td>Drama</td>\n",
+       "      <td>359</td>\n",
+       "      <td>0.988384</td>\n",
+       "      <td>360</td>\n",
+       "      <td>360</td>\n",
+       "      <td>Wonderland (1997)</td>\n",
+       "      <td>Documentary</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>309</td>\n",
-       "      <td>0.734523</td>\n",
-       "      <td>310</td>\n",
-       "      <td>310</td>\n",
-       "      <td>Rainmaker, The (1997)</td>\n",
-       "      <td>Drama</td>\n",
+       "      <td>810</td>\n",
+       "      <td>0.987781</td>\n",
+       "      <td>811</td>\n",
+       "      <td>811</td>\n",
+       "      <td>Thirty-Two Short Films About Glenn Gould (1993)</td>\n",
+       "      <td>Documentary</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>1605</td>\n",
-       "      <td>0.733826</td>\n",
-       "      <td>1606</td>\n",
-       "      <td>1606</td>\n",
-       "      <td>Deceiver (1997)</td>\n",
-       "      <td>Crime</td>\n",
+       "      <td>917</td>\n",
+       "      <td>0.986770</td>\n",
+       "      <td>918</td>\n",
+       "      <td>918</td>\n",
+       "      <td>City of Angels (1998)</td>\n",
+       "      <td>Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>238</td>\n",
-       "      <td>0.731338</td>\n",
-       "      <td>239</td>\n",
-       "      <td>239</td>\n",
-       "      <td>Sneakers (1992)</td>\n",
-       "      <td>Crime, Drama, Sci-Fi</td>\n",
+       "      <td>869</td>\n",
+       "      <td>0.986746</td>\n",
+       "      <td>870</td>\n",
+       "      <td>870</td>\n",
+       "      <td>Touch (1997)</td>\n",
+       "      <td>Romance</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
-       "      <td>222</td>\n",
-       "      <td>0.724939</td>\n",
-       "      <td>223</td>\n",
-       "      <td>223</td>\n",
-       "      <td>Sling Blade (1996)</td>\n",
-       "      <td>Drama, Thriller</td>\n",
+       "      <td>756</td>\n",
+       "      <td>0.986005</td>\n",
+       "      <td>757</td>\n",
+       "      <td>757</td>\n",
+       "      <td>Across the Sea of Time (1995)</td>\n",
+       "      <td>Documentary</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>266</td>\n",
-       "      <td>0.724812</td>\n",
-       "      <td>267</td>\n",
-       "      <td>267</td>\n",
-       "      <td>unknown</td>\n",
-       "      <td>unknown</td>\n",
+       "      <td>732</td>\n",
+       "      <td>0.985919</td>\n",
+       "      <td>733</td>\n",
+       "      <td>733</td>\n",
+       "      <td>Go Fish (1994)</td>\n",
+       "      <td>Drama, Romance</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   code     score  item_id    id                             title  \\\n",
-       "0   257  1.000000      258   258                    Contact (1997)   \n",
-       "1   221  0.739090      222   222   Star Trek: First Contact (1996)   \n",
-       "2    63  0.736794       64    64  Shawshank Redemption, The (1994)   \n",
-       "3  1162  0.736777     1163  1163    Portrait of a Lady, The (1996)   \n",
-       "4   125  0.736246      126   126        Spitfire Grill, The (1996)   \n",
-       "5   309  0.734523      310   310             Rainmaker, The (1997)   \n",
-       "6  1605  0.733826     1606  1606                   Deceiver (1997)   \n",
-       "7   238  0.731338      239   239                   Sneakers (1992)   \n",
-       "8   222  0.724939      223   223                Sling Blade (1996)   \n",
-       "9   266  0.724812      267   267                           unknown   \n",
+       "   code     score  item_id   id  \\\n",
+       "0   916  1.000000      917  917   \n",
+       "1   914  0.991506      915  915   \n",
+       "2   908  0.990078      909  909   \n",
+       "3   690  0.989487      691  691   \n",
+       "4   359  0.988384      360  360   \n",
+       "5   810  0.987781      811  811   \n",
+       "6   917  0.986770      918  918   \n",
+       "7   869  0.986746      870  870   \n",
+       "8   756  0.986005      757  757   \n",
+       "9   732  0.985919      733  733   \n",
        "\n",
-       "                      genres  \n",
-       "0              Drama, Sci-Fi  \n",
-       "1  Action, Adventure, Sci-Fi  \n",
-       "2                      Drama  \n",
-       "3                      Drama  \n",
-       "4                      Drama  \n",
-       "5                      Drama  \n",
-       "6                      Crime  \n",
-       "7       Crime, Drama, Sci-Fi  \n",
-       "8            Drama, Thriller  \n",
-       "9                    unknown  "
+       "                                             title  \\\n",
+       "0                            Mercury Rising (1998)   \n",
+       "1                            Primary Colors (1998)   \n",
+       "2                          Dangerous Beauty (1998)   \n",
+       "3                                 Dark City (1998)   \n",
+       "4                                Wonderland (1997)   \n",
+       "5  Thirty-Two Short Films About Glenn Gould (1993)   \n",
+       "6                            City of Angels (1998)   \n",
+       "7                                     Touch (1997)   \n",
+       "8                    Across the Sea of Time (1995)   \n",
+       "9                                   Go Fish (1994)   \n",
+       "\n",
+       "                        genres  \n",
+       "0      Action, Drama, Thriller  \n",
+       "1                        Drama  \n",
+       "2                        Drama  \n",
+       "3  Film-Noir, Sci-Fi, Thriller  \n",
+       "4                  Documentary  \n",
+       "5                  Documentary  \n",
+       "6                      Romance  \n",
+       "7                      Romance  \n",
+       "8                  Documentary  \n",
+       "9               Drama, Romance  "
       ]
      },
-     "execution_count": 33,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1075,7 +937,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1109,7 +971,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1136,29 +998,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 4850.60it/s]\n",
-      "943it [00:00, 4963.77it/s]\n",
-      "943it [00:00, 4500.32it/s]\n",
-      "943it [00:00, 5033.32it/s]\n",
-      "943it [00:00, 4491.41it/s]\n",
-      "943it [00:00, 5213.78it/s]\n",
-      "943it [00:00, 4930.11it/s]\n",
-      "943it [00:00, 4835.44it/s]\n",
-      "943it [00:00, 4567.62it/s]\n",
-      "943it [00:00, 4836.97it/s]\n",
-      "943it [00:00, 3965.34it/s]\n",
-      "943it [00:00, 4790.98it/s]\n",
-      "943it [00:00, 4721.85it/s]\n",
-      "943it [00:00, 4756.99it/s]\n",
-      "943it [00:00, 5004.97it/s]\n",
-      "943it [00:00, 4844.54it/s]\n"
+      "943it [00:00, 8010.33it/s]\n",
+      "943it [00:00, 7939.12it/s]\n",
+      "943it [00:00, 8331.15it/s]\n",
+      "943it [00:00, 8696.10it/s]\n",
+      "943it [00:00, 8172.62it/s]\n",
+      "943it [00:00, 8807.34it/s]\n",
+      "943it [00:00, 8646.67it/s]\n",
+      "943it [00:00, 7192.36it/s]\n",
+      "943it [00:00, 8888.67it/s]\n",
+      "943it [00:00, 8736.94it/s]\n",
+      "943it [00:00, 8047.44it/s]\n",
+      "943it [00:00, 8326.85it/s]\n"
      ]
     },
     {
@@ -1205,27 +1063,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_RP3Beta</td>\n",
-       "      <td>3.702446</td>\n",
-       "      <td>3.527273</td>\n",
-       "      <td>0.282185</td>\n",
-       "      <td>0.192092</td>\n",
-       "      <td>0.186749</td>\n",
-       "      <td>0.216980</td>\n",
-       "      <td>0.204185</td>\n",
-       "      <td>0.240096</td>\n",
-       "      <td>0.339114</td>\n",
-       "      <td>0.204905</td>\n",
-       "      <td>0.572157</td>\n",
-       "      <td>0.593544</td>\n",
-       "      <td>0.875928</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.077201</td>\n",
-       "      <td>3.875892</td>\n",
-       "      <td>0.974947</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_TopPop</td>\n",
        "      <td>2.508258</td>\n",
        "      <td>2.217909</td>\n",
@@ -1248,86 +1085,44 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_SVD</td>\n",
-       "      <td>0.951985</td>\n",
-       "      <td>0.749904</td>\n",
-       "      <td>0.105832</td>\n",
-       "      <td>0.054287</td>\n",
-       "      <td>0.059099</td>\n",
-       "      <td>0.074448</td>\n",
-       "      <td>0.093562</td>\n",
-       "      <td>0.085108</td>\n",
-       "      <td>0.124663</td>\n",
-       "      <td>0.060089</td>\n",
-       "      <td>0.275660</td>\n",
-       "      <td>0.523903</td>\n",
-       "      <td>0.527041</td>\n",
-       "      <td>0.999682</td>\n",
-       "      <td>0.214286</td>\n",
-       "      <td>4.410890</td>\n",
-       "      <td>0.953748</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Self_SVDBaseline</td>\n",
-       "      <td>0.913380</td>\n",
-       "      <td>0.719974</td>\n",
-       "      <td>0.105726</td>\n",
-       "      <td>0.045055</td>\n",
-       "      <td>0.054233</td>\n",
-       "      <td>0.071579</td>\n",
-       "      <td>0.096674</td>\n",
-       "      <td>0.075899</td>\n",
-       "      <td>0.119979</td>\n",
-       "      <td>0.059709</td>\n",
-       "      <td>0.251389</td>\n",
-       "      <td>0.519270</td>\n",
-       "      <td>0.476140</td>\n",
-       "      <td>0.999788</td>\n",
-       "      <td>0.115440</td>\n",
-       "      <td>3.578129</td>\n",
-       "      <td>0.980463</td>\n",
+       "      <td>0.952889</td>\n",
+       "      <td>0.750674</td>\n",
+       "      <td>0.098834</td>\n",
+       "      <td>0.047899</td>\n",
+       "      <td>0.053663</td>\n",
+       "      <td>0.068581</td>\n",
+       "      <td>0.087876</td>\n",
+       "      <td>0.076831</td>\n",
+       "      <td>0.113446</td>\n",
+       "      <td>0.054127</td>\n",
+       "      <td>0.242918</td>\n",
+       "      <td>0.520677</td>\n",
+       "      <td>0.488865</td>\n",
+       "      <td>0.998091</td>\n",
+       "      <td>0.204906</td>\n",
+       "      <td>4.440336</td>\n",
+       "      <td>0.952374</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Self_SVD</td>\n",
-       "      <td>0.914400</td>\n",
-       "      <td>0.718047</td>\n",
-       "      <td>0.103393</td>\n",
-       "      <td>0.043404</td>\n",
-       "      <td>0.052920</td>\n",
-       "      <td>0.070119</td>\n",
-       "      <td>0.093455</td>\n",
-       "      <td>0.074901</td>\n",
-       "      <td>0.107441</td>\n",
-       "      <td>0.050770</td>\n",
-       "      <td>0.200719</td>\n",
-       "      <td>0.518433</td>\n",
-       "      <td>0.477200</td>\n",
-       "      <td>0.866384</td>\n",
-       "      <td>0.145743</td>\n",
-       "      <td>3.860721</td>\n",
-       "      <td>0.972299</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Ready_SVDBiased</td>\n",
-       "      <td>0.940375</td>\n",
-       "      <td>0.742264</td>\n",
-       "      <td>0.092153</td>\n",
-       "      <td>0.039645</td>\n",
-       "      <td>0.046804</td>\n",
-       "      <td>0.061886</td>\n",
-       "      <td>0.079399</td>\n",
-       "      <td>0.055967</td>\n",
-       "      <td>0.102017</td>\n",
-       "      <td>0.047972</td>\n",
-       "      <td>0.216876</td>\n",
-       "      <td>0.516515</td>\n",
-       "      <td>0.441145</td>\n",
-       "      <td>0.997455</td>\n",
-       "      <td>0.167388</td>\n",
-       "      <td>4.235348</td>\n",
-       "      <td>0.962085</td>\n",
+       "      <td>0.914856</td>\n",
+       "      <td>0.718384</td>\n",
+       "      <td>0.100424</td>\n",
+       "      <td>0.040859</td>\n",
+       "      <td>0.050523</td>\n",
+       "      <td>0.067431</td>\n",
+       "      <td>0.090665</td>\n",
+       "      <td>0.068368</td>\n",
+       "      <td>0.101328</td>\n",
+       "      <td>0.047917</td>\n",
+       "      <td>0.183792</td>\n",
+       "      <td>0.517141</td>\n",
+       "      <td>0.459173</td>\n",
+       "      <td>0.860551</td>\n",
+       "      <td>0.146465</td>\n",
+       "      <td>3.853236</td>\n",
+       "      <td>0.971798</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -1352,6 +1147,27 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
+       "      <td>Ready_SVDBiased</td>\n",
+       "      <td>0.939807</td>\n",
+       "      <td>0.741610</td>\n",
+       "      <td>0.082078</td>\n",
+       "      <td>0.032691</td>\n",
+       "      <td>0.040611</td>\n",
+       "      <td>0.054503</td>\n",
+       "      <td>0.073391</td>\n",
+       "      <td>0.051400</td>\n",
+       "      <td>0.088531</td>\n",
+       "      <td>0.039739</td>\n",
+       "      <td>0.188187</td>\n",
+       "      <td>0.512998</td>\n",
+       "      <td>0.423118</td>\n",
+       "      <td>0.995864</td>\n",
+       "      <td>0.172439</td>\n",
+       "      <td>4.176612</td>\n",
+       "      <td>0.963967</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
        "      <td>Self_GlobalAvg</td>\n",
        "      <td>1.125760</td>\n",
        "      <td>0.943534</td>\n",
@@ -1374,23 +1190,23 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>Ready_Random</td>\n",
-       "      <td>1.518551</td>\n",
-       "      <td>1.218784</td>\n",
-       "      <td>0.050583</td>\n",
-       "      <td>0.024085</td>\n",
-       "      <td>0.027323</td>\n",
-       "      <td>0.034826</td>\n",
-       "      <td>0.031223</td>\n",
-       "      <td>0.026436</td>\n",
-       "      <td>0.054902</td>\n",
-       "      <td>0.020652</td>\n",
-       "      <td>0.137928</td>\n",
-       "      <td>0.508570</td>\n",
-       "      <td>0.353128</td>\n",
-       "      <td>0.987699</td>\n",
-       "      <td>0.183261</td>\n",
-       "      <td>5.093805</td>\n",
-       "      <td>0.908215</td>\n",
+       "      <td>1.518964</td>\n",
+       "      <td>1.222159</td>\n",
+       "      <td>0.046554</td>\n",
+       "      <td>0.020603</td>\n",
+       "      <td>0.023679</td>\n",
+       "      <td>0.031216</td>\n",
+       "      <td>0.028970</td>\n",
+       "      <td>0.021179</td>\n",
+       "      <td>0.050489</td>\n",
+       "      <td>0.019185</td>\n",
+       "      <td>0.123856</td>\n",
+       "      <td>0.506812</td>\n",
+       "      <td>0.322375</td>\n",
+       "      <td>0.987805</td>\n",
+       "      <td>0.184704</td>\n",
+       "      <td>5.103172</td>\n",
+       "      <td>0.906873</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
@@ -1415,27 +1231,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Ready_U-KNNBaseline</td>\n",
-       "      <td>0.935327</td>\n",
-       "      <td>0.737424</td>\n",
-       "      <td>0.002545</td>\n",
-       "      <td>0.000755</td>\n",
-       "      <td>0.001105</td>\n",
-       "      <td>0.001602</td>\n",
-       "      <td>0.002253</td>\n",
-       "      <td>0.000930</td>\n",
-       "      <td>0.003444</td>\n",
-       "      <td>0.001362</td>\n",
-       "      <td>0.011760</td>\n",
-       "      <td>0.496724</td>\n",
-       "      <td>0.021209</td>\n",
-       "      <td>0.482821</td>\n",
-       "      <td>0.059885</td>\n",
-       "      <td>2.232578</td>\n",
-       "      <td>0.994487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Ready_I-KNNBaseline</td>\n",
        "      <td>0.935327</td>\n",
        "      <td>0.737424</td>\n",
@@ -1478,27 +1273,6 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>Self_TopRated</td>\n",
-       "      <td>1.033085</td>\n",
-       "      <td>0.822057</td>\n",
-       "      <td>0.000954</td>\n",
-       "      <td>0.000188</td>\n",
-       "      <td>0.000298</td>\n",
-       "      <td>0.000481</td>\n",
-       "      <td>0.000644</td>\n",
-       "      <td>0.000223</td>\n",
-       "      <td>0.001043</td>\n",
-       "      <td>0.000335</td>\n",
-       "      <td>0.003348</td>\n",
-       "      <td>0.496433</td>\n",
-       "      <td>0.009544</td>\n",
-       "      <td>0.699046</td>\n",
-       "      <td>0.005051</td>\n",
-       "      <td>1.945910</td>\n",
-       "      <td>0.995669</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
        "      <td>Self_BaselineUI</td>\n",
        "      <td>0.967585</td>\n",
        "      <td>0.762740</td>\n",
@@ -1545,61 +1319,49 @@
       ],
       "text/plain": [
        "                 Model      RMSE       MAE  precision    recall       F_1  \\\n",
-       "0         Self_RP3Beta  3.702446  3.527273   0.282185  0.192092  0.186749   \n",
        "0          Self_TopPop  2.508258  2.217909   0.188865  0.116919  0.118732   \n",
-       "0            Ready_SVD  0.951985  0.749904   0.105832  0.054287  0.059099   \n",
-       "0     Self_SVDBaseline  0.913380  0.719974   0.105726  0.045055  0.054233   \n",
-       "0             Self_SVD  0.914400  0.718047   0.103393  0.043404  0.052920   \n",
-       "0      Ready_SVDBiased  0.940375  0.742264   0.092153  0.039645  0.046804   \n",
+       "0            Ready_SVD  0.952889  0.750674   0.098834  0.047899  0.053663   \n",
+       "0             Self_SVD  0.914856  0.718384   0.100424  0.040859  0.050523   \n",
        "0       Ready_Baseline  0.949459  0.752487   0.091410  0.037652  0.046030   \n",
+       "0      Ready_SVDBiased  0.939807  0.741610   0.082078  0.032691  0.040611   \n",
        "0       Self_GlobalAvg  1.125760  0.943534   0.061188  0.025968  0.031383   \n",
-       "0         Ready_Random  1.518551  1.218784   0.050583  0.024085  0.027323   \n",
+       "0         Ready_Random  1.518964  1.222159   0.046554  0.020603  0.023679   \n",
        "0          Ready_I-KNN  1.030386  0.813067   0.026087  0.006908  0.010593   \n",
-       "0  Ready_U-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
        "0  Ready_I-KNNBaseline  0.935327  0.737424   0.002545  0.000755  0.001105   \n",
        "0          Ready_U-KNN  1.023495  0.807913   0.000742  0.000205  0.000305   \n",
-       "0        Self_TopRated  1.033085  0.822057   0.000954  0.000188  0.000298   \n",
        "0      Self_BaselineUI  0.967585  0.762740   0.000954  0.000170  0.000278   \n",
        "0            Self_IKNN  1.018363  0.808793   0.000318  0.000108  0.000140   \n",
        "\n",
        "       F_05  precision_super  recall_super      NDCG       mAP       MRR  \\\n",
-       "0  0.216980         0.204185      0.240096  0.339114  0.204905  0.572157   \n",
        "0  0.141584         0.130472      0.137473  0.214651  0.111707  0.400939   \n",
-       "0  0.074448         0.093562      0.085108  0.124663  0.060089  0.275660   \n",
-       "0  0.071579         0.096674      0.075899  0.119979  0.059709  0.251389   \n",
-       "0  0.070119         0.093455      0.074901  0.107441  0.050770  0.200719   \n",
-       "0  0.061886         0.079399      0.055967  0.102017  0.047972  0.216876   \n",
+       "0  0.068581         0.087876      0.076831  0.113446  0.054127  0.242918   \n",
+       "0  0.067431         0.090665      0.068368  0.101328  0.047917  0.183792   \n",
        "0  0.061286         0.079614      0.056463  0.095957  0.043178  0.198193   \n",
+       "0  0.054503         0.073391      0.051400  0.088531  0.039739  0.188187   \n",
        "0  0.041343         0.040558      0.032107  0.067695  0.027470  0.171187   \n",
-       "0  0.034826         0.031223      0.026436  0.054902  0.020652  0.137928   \n",
+       "0  0.031216         0.028970      0.021179  0.050489  0.019185  0.123856   \n",
        "0  0.016046         0.021137      0.009522  0.024214  0.008958  0.048068   \n",
        "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
-       "0  0.001602         0.002253      0.000930  0.003444  0.001362  0.011760   \n",
        "0  0.000449         0.000536      0.000198  0.000845  0.000274  0.002744   \n",
-       "0  0.000481         0.000644      0.000223  0.001043  0.000335  0.003348   \n",
        "0  0.000463         0.000644      0.000189  0.000752  0.000168  0.001677   \n",
        "0  0.000189         0.000000      0.000000  0.000214  0.000037  0.000368   \n",
        "\n",
        "       LAUC        HR  Reco in test  Test coverage   Shannon      Gini  \n",
-       "0  0.593544  0.875928      1.000000       0.077201  3.875892  0.974947  \n",
        "0  0.555546  0.765642      1.000000       0.038961  3.159079  0.987317  \n",
-       "0  0.523903  0.527041      0.999682       0.214286  4.410890  0.953748  \n",
-       "0  0.519270  0.476140      0.999788       0.115440  3.578129  0.980463  \n",
-       "0  0.518433  0.477200      0.866384       0.145743  3.860721  0.972299  \n",
-       "0  0.516515  0.441145      0.997455       0.167388  4.235348  0.962085  \n",
+       "0  0.520677  0.488865      0.998091       0.204906  4.440336  0.952374  \n",
+       "0  0.517141  0.459173      0.860551       0.146465  3.853236  0.971798  \n",
        "0  0.515501  0.437964      1.000000       0.033911  2.836513  0.991139  \n",
+       "0  0.512998  0.423118      0.995864       0.172439  4.176612  0.963967  \n",
        "0  0.509546  0.384942      1.000000       0.025974  2.711772  0.992003  \n",
-       "0  0.508570  0.353128      0.987699       0.183261  5.093805  0.908215  \n",
+       "0  0.506812  0.322375      0.987805       0.184704  5.103172  0.906873  \n",
        "0  0.499885  0.154825      0.402333       0.434343  5.133650  0.877999  \n",
        "0  0.496724  0.021209      0.482821       0.059885  2.232578  0.994487  \n",
-       "0  0.496724  0.021209      0.482821       0.059885  2.232578  0.994487  \n",
        "0  0.496441  0.007423      0.602121       0.010823  2.089186  0.995706  \n",
-       "0  0.496433  0.009544      0.699046       0.005051  1.945910  0.995669  \n",
        "0  0.496424  0.009544      0.600530       0.005051  1.803126  0.996380  \n",
        "0  0.496391  0.003181      0.392153       0.115440  4.174741  0.965327  "
       ]
      },
-     "execution_count": 40,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/P4. Matrix Factorization.pdf b/P4. Matrix Factorization.pdf
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diff --git a/P5. Graph-based models.pdf b/P5. Graph-based models.pdf
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diff --git a/P5. Graph-based.ipynb b/P5. Graph-based.ipynb
index 8d134d5..2ef1971 100644
--- a/P5. Graph-based.ipynb	
+++ b/P5. Graph-based.ipynb	
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -97,7 +97,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -111,14 +111,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "943it [00:00, 7582.24it/s]\n"
+      "943it [00:00, 8810.70it/s]\n"
      ]
     },
     {
@@ -197,7 +197,7 @@
        "0  0.875928           1.0       0.077201  3.875892  0.974947  "
       ]
      },
-     "execution_count": 44,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -229,7 +229,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -238,29 +238,29 @@
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      ]
     },
     {
@@ -509,7 +509,7 @@
        "0  0.868505      0.999576       0.156566  4.060156  0.969203  "
       ]
      },
-     "execution_count": 35,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -535,16 +535,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 7,
    "metadata": {
     "scrolled": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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1cX8JgbSssNhzqIUbfvwCd39oCjfMUP8ikUQ42UqI3tbZw+LIkSO8733vY9GiRcc0GcrJyeHCCy/k29/+NuvXr2fJkiXHHF9SUsItt9zCLbfcwqRJk465WZbe9b2n32DF5n383zvmhh2KSFoJ6/rcaeHChfzDP/wDzz77LPX19V3jDz30EPv372fs2LEAHDp0iMWLF3PXXXeFFeo7uPtSYGm3sa/Gve+xwZG7twN/08P4DmIVFz0d8yXgS2cSr0hvamlrZ9/hVuobW6k/3Ep9Ywv7Dreyt7GVfYdb3h4/3MK+xlYOt77dZyEzw/jAtFF8bu44ygsjIZ7FyQvzWtl9pY3OzwMGDADA3bnyyitZvHjxMfutWbPmhN99xx138P73v5+lS5cye/ZsnnjiiXdUWRxPbm5u1/vMzEza2tpO6rgzkZYJi+KCPDIzjG37jpx4ZxHpkyKRCPfeey/XXXcdn/nMZ47Z9sUvfpFLL72UaDR6zPjjjz/OFVdcQXZ2Nrt27aK+vp5Ro0bx2muvJTP0tFEWjfD7VTtpbesgJystC/5E0tItt9xCQUEBkydP5tlnn+0aX7x4MY8//jgXXxxr7bB582bmzZuXUgkLkf6kta2D/Uda2RskHo6biDjcyr7GVhpaev7lNDvTKByQS3RADoUDcxhTGKFwYOzzsIE5DI3ksPytfdz/4lZ+++pOPnTBKD47dxxl0b6RuAjDtm3beOGFF7j44ov59a9/zSWXXMKrr77atX3WrFncdtttbNq0iXPOOYfDhw+zc+dOzjvvPGpra3nppZeYMWMGDQ0N75gS8uabbzJ58mQmT57MSy+9xGuvvXbMtOc5c+Zw//33M3fuXF5//XW2bdvGeeedxyuvvJK084+XlgmL7MwMSgrylLAQ6eemTZvGlClTWLx4MXPmdDVjZ+LEicesDtLpySef5O/+7u+6ssz33HMPI0eO5LXXXntHD4uvfOUrKbv8U19RHo3Q4VBzoIkxwwaEHY6IJElpaek7ltfbsmULW7duPWY507FjxzJkyBBefPFF4NgeFgC/+93vGDNmTFJiFukL2to72HcklniIJRx6TkR0vj/U3HMCIivDGDogh8IgAVExtKAr+RCfiIgOyKVwYA6DcrPeURHQ3VUTR/K3l57FD599k1+v2MZvXtnJ9ReWctvl5yhx0YPzzjuPRYsWccsttzBhwgQ+/elP8/3vf79re1FREffddx833XRT1/Tlb3zjG5x77rk8+OCDfPazn6WpqYn8/HyefvrpY777e9/7HsuWLSMjI4OJEycyf/58amtru7Z/5jOf4dOf/jSTJ08mKyuL++6775jKimQzdw/th/eW6dOne2fX/5N183++SGNLG7+7bXaCohJJPxs2bGD8+PFhhxGans7fzF529+khhZRUp3otXrF5Hzf8+AV+ectM3nuuOtuLJFK6XJ91HT71e2LpHw63tHH5t55lT0PLO7ZlGLHqh7gqiFgy4p3Jh8IBOQzOyyYj490TEGdi18FmfvTsJhav2I7jXH9hGbfPPYdRBfknPjjBUuFauWXLFhYsWNCnpyX35rU4LSssIFaK/OS6XWGHISKStsqDJyqqdhMRETkzT2/YzZ6GFj53xTjOHznomEREQX5iExCnauSQPP752kn87WVn88Nlb/LgS9t55OXt3DC9jNsuP4eSFEhcSOpI24RFeTRC/eFWGlvaGJibtn8NIiKhGT4ol5ysDLbvV8JCRETkTFRV11A8JI/PXzEupZIT76Z4SD7/ct0kPn3Z2SxatomHVm7n4ZU7+MiMMj5z+dkUD0nPxMWYMWP6dHVFb0vbLmedT/a268meiEgoMjKMsqH5ug6LiIicgYNHjvKn1+tYMKW4zyQr4pUU5HPXByaz7B8u40MXlrJ4xTYuvftZvvb7tew+1Bx2eBKytE9YbK3XjbJIb+oPfXFOR7qe95kqj0Y0JUQkSfr7daq/n5/I8TyxbhdH253KipKwQzkjpUMj/OsHY4mLD14wivtf3Macu5fx9SXr2JPExIWuJWemt//+0j5hoSd7Ir0nLy+P+vr6tLvQuzv19fUnvYa1vK0sGmGbEsciCdffr8+6Dks6W1Jdw5jCCJNHDQk7lF5RFo3wbx+awh+/eBnXTS3hv5dvZc7dy7izaj17GhKbuOjv18pES8S1OG2bNwyJZDM4L0tP9kR6UWlpKTt27KCuri7sUJIuLy+P0tLSsMPoc8qjEQ41t3HwyFGGRLLDDkek30qH67Ouw5KO6hpa+N8393Lb5eeccGnRvqa8MMLd11dw2+Xn8P0/buK+/93Mr1ds5WOzRvM3l57NsIG9v9RmOlwrE623r8Vpm7CA2H8ESliI9J7s7GzGjh0bdhjSh5TFrRQyOdI/ngyJpCJdn0X6p8fW1tLh9PnpIO9mdOEAvvXhIHHxzBv87PnN/Gr5Nj5+8Whufe9ZFPZi4kLXytSTtlNCIPZkT1NCRETCo6VNRURETt+SVTWcP3IQ544YFHYoCTd22AC+85GpPPWFS3nfxBH89Lm3mHP3Mv7tsdfYd7g17PAkQdI6YVEWjbBjfxPtHZqjJCIShjIlLERERE7LzgNNrNy6v19XV/Tk7KKBfO/GaTz595cyb/wIfvznN5nzzT9y9+OvsV+Ji34nrRMW5dEIre0dWi5HRCQkA3OzKByQo4SFiIjIKfrD6hoAFkwpDjmScJwzfCD33jSNJz//Xi4/fzg/+tObzLl7Gd96YiMHjihx0V+kfcIC9GRPRPo/Myszs2Vmtt7M1pnZ3wXjUTN7yszeCP4cGoybmd1rZpvMbLWZXZCo2Mo0PU9EROSULamuoaKsgNGFA8IOJVTjRgziB39xAU98/r1cem4RP1i2iTnfXMZ3ntzIwSNHww5PzpASFihhISJpoQ34ortPAGYBt5nZBOAO4Bl3Hwc8E3wGmA+MC163Aj9KVGDlUTVAFhERORVv1TWyduchKtO0uqIn544YxKKPXsDjn5/DJeOGce8fN3HJ3X/ku0+9zsEmJS76qrROWJQU5JOZYXqyJyL9nrvXuvsrwfsGYAMwCrgW+EWw2y+A64L31wK/9JjlQIGZJeSuqDwaoeZAE23tHYn4ehERkX7n0dW1mMGCKenVv+JknD9yMD+6+UKWfm4O7zm7kH9/5g3mfPOP/PvTb3CoWYmLvibhCYt3KUP+upntNLNVweuauGO+FJQhbzSz9yUqtuzMDEoK8vRkT0TSipmNAaYBLwIj3L022LQLGBG8HwVsjztsRzDW/btuNbOVZrbydNcsL49GaOtwag+qn5CIiMiJuDtLqmuYOSbKyCF5YYeTsiaUDObHH5vOo5+9hIvOKuS7T7/OnG8u4/vPvEGDEhd9RjIqLI5XhgzwXXefGryWAgTbbgQmAlcDPzSzzEQFp1JkEUknZjYQ+B/g8+5+KH6buztwSssmuftP3H26u08vKio6rZg6VwpRtZuIiMiJvbargU17GtNudZDTNWnUEH768VjiYsaYoXz7qdeZc/cyFi3bRGNLW9jhyQkkPGHxLmXIx3Mt8IC7t7j7ZmATMDNR8ZWr2ZuIpAkzyyaWrLjf3X8TDO/unOoR/LknGN8JlMUdXhqM9bqyaD6gfkIiIiIno6q6hswMY/6kkWGH0qdMGjWE//zEDJbcPpsLyodyzxMbueyeZ9mlCs+UltQeFt3KkAFuD7rP/7yzMz0nWYbcW8qiEfY2tiq7JiL9mpkZ8DNgg7t/J27TEuATwftPAL+PG/94sFrILOBg3NSRXlU8JJ+sDFPCQkRE5ATcnarVNVxyzjAKB+aGHU6fNKW0gJ//5QweuHUWextb+N2qhDyPkV6StIRFD2XIPwLOBqYCtcC3T/H7znjeNLy9UoiqLESkn5sNfAyY26130L8BV5rZG8C84DPAUuAtYlVuPwU+k6jAMjOM0qH5SliIiIicwKrtB9i+r0nTQXrBrLMKmVpWwJJVNWGHIu8iKxk/pKcyZHffHbf9p8CjwceTKkN2958APwGYPn36Kc25jhe/tOn44sGn+zUiIinN3Z8H7Dibr+hhfwduS2hQcco0PU9EROSEqqprycnK4KqJI068s5xQZUUJ//LoejbtaeSc4QPDDkd6kIxVQnosQ+62PN4HgLXB+yXAjWaWa2ZjgXHAikTFpwoLEZHwqQGyiIjIu2vvcB5dXcPl5xUxOC877HD6hQVTijGDR1eryiJVJWNKyPHKkO82szVmthq4HPh7AHdfBzwErAceB25z9/ZEBTckP5tBeVm6URYRCVF5NML+I0e1PrqIiMhxrNi8jz0NLZoO0otGDM7jorFRllTXECsulVST8Ckh71KGvPRdjrkLuCthQcUxMz3ZExEJWXy128SSISFHIyIiknqqVtcQycnkivM1HaQ3VVaU8OXfrmV97SHdg6SgpK4SkqqUsBARCVeZpueJiIgc19H2Dh5bU8uVE0aQn5MZdjj9yvxJxWRlGFXVCVkMTc6QEhbEEhY79jXR0aEyIBGRMJQXvt0AWURERI71/Ka97D9ylMopmg7S26IDcrhk3DCqNC0kJSlhQezJXmt7B7sbmsMORUQkLQ3Oy6Ygks32fU1hhyIiIpJyqqprGJyXxZxzh4UdSr9UOaWEnQeaeGXbgbBDkW6UsCBuadN6PdkTEQmLpueJiIi8U/PRdp5ct5v5k4rJzdJ0kES4auIIcrIyqKrWaiGpRgkLYLRKkUVEQlc2NKIeFiKS0szsajPbaGabzOyOHrZ/wczWm9lqM3vGzEbHbbvbzNaZ2QYzu9fMLBi/MFg5b1O38aiZPWVmbwR/Dk3emUoqeXbjHhpb2rQ6SAINystm7nnD+cOaWtrVJiClKGEBlBTkk2Fq9iYiEqayaIQd+5t0oyAiKcnMMoFFwHxgAnCTmU3otturwHR3nwI8AtwdHPseYDYwBZgEzAAuDY75EfDXwLjgdXUwfgfwjLuPA54JPksaqqquZdjAHGadFQ07lH6tsqKEuoYWXnyrPuxQJI4SFkB2ZgYlBfmqsBARCVF5Zz+hQ+onJCIpaSawyd3fcvdW4AHg2vgd3H2Zu3feUC4HSjs3AXlADpALZAO7zawYGOzuyz3W7e+XwHXBMdcCvwje/yJuXNJIY0sbT2/YzfsnF5OVqV/dEmnu+cMZkJNJ1WpNC0kl+rc+UB6NsFUJCxGR0HT1E9K1WERS0yhge9znHcHY8XwKeAzA3V8AlgG1wesJd98QHL/jON85wt0711ncBYw40xOQvufp9btpaevQdJAkyM/J5MoJI1i6ZhetbR1hhyMBJSwC5VHNnRYRCZMSFiLSX5jZzcB04J7g8znAeGIVF6OAuWY252S/L6i+6HG+nJndamYrzWxlXV3dGccuqaWquoaSIXlcUK4WJslQWVHCwaajPL9J/y2lCiUsAmXRCHsbWznc0hZ2KCIiaam4II/MDFPyWERS1U6gLO5zaTB2DDObB3wZWOjuLcHwB4Dl7t7o7o3EKi8uDo4vjTs8/js7p4wQ/Lmnp6Dc/SfuPt3dpxcVFZ32yUnqOXCklT+/UUdlRQkZGRZ2OGlhzrgihuRnU1Vde+KdJSmUsAh0Ptnbvl83yiIiYYj1E8pThYWIpKqXgHFmNtbMcoAbgSXxO5jZNODHxJIV8QmGbcClZpZlZtnEGm5uCKZ8HDKzWcHqIB8Hfh8cswT4RPD+E3HjkiYeX7uLo+2u6SBJlJOVwfxJI3ly3S6aWtvDDkdQwqJLVylyvW6URUTCUh6NKGEhIinJ3duA24EngA3AQ+6+zszuNLOFwW73AAOBh81slZl1JjQeAd4E1gDVQLW7VwXbPgP8J7Ap2OexYPzfgCvN7A1gXvBZ0kjV6hrGDhvAxJLBYYeSViorSjjc2s6yjT0WNUmSZYUdQKrQ3GkRkfCVRyM8tX532GGIiPTI3ZcCS7uNfTXu/bzjHNcO/M1xtq0kttRp9/F64IoziVf6rj0NzbzwZj23zx1HrPhGkmXWWYUMG5hLVXUN10wuDjuctKcKi0BBJJtBuVmaOy0iEqLOfkJHWtVPSERE0tfS1bV0OFRO0S/MyZaZYSyYUswzr+2hoflo2OGkPSUsAmZGmUqRRURCVTY06Ce0rynkSERERMJTtbqW84xnA1cAACAASURBVEcOYtyIQWGHkpYqK4ppbetQ1WcKUMIijuZOi4iES9PzREQk3e3Yf4SXt+5n4VQ12wzLtLKhjCrIp6q6JuxQ0p4SFnHKCyNs399ER0ePy1yLiEiCKWEhIiLp7tHVsSU1K6coYRGWjAxjQUUxz72xl/2HW8MOJ60pYRGnPBqhta2DPQ0tJ95ZRER6nfoJiYhIuquqrmFqWQFlQRJfwlE5pYS2DuextbvCDiWtKWERR0/2RETCpX5CIiKSzt6sa2RdzSEWVqi6ImwTSwZz1rABmhYSMiUs4ihhISISPvUTEhGRdFVVXYMZvF+rg4TOzKisKGH55nr2HGoOO5y0pYRFnJKCfDIMttUfDjsUEZG0VV4YYfu+I+onJCIiacXdqaqu4aKxUUYMzgs7HCG2Woj7231FJPmUsIiTk5VB8ZB8PdkTEQlRWTRCS1sHdY3qJyQiIuljfe0h3qw7zMKKUWGHIoFzhg9ifPFgqlZrWkhYlLDoRqXIIiLh0vQ8ERFJR1XVtWRlGFdPGhl2KBJnYUUJr247oIbgIVHCoptYwqIp7DBERNJWV8KiXjcGIiKSHjqng1wybhjRATlhhyNxFgT9RFRlEQ4lLLopL4ywt7GFI61tYYciIpKWRhXkY6YKCxERSR+vbDvAzgNNWh0kBZVFI0wrL6CqWn0swqCERTed6x1vV5WFiEgocrIyKB6cx/b9SliIiEh6qKquIScrgysnjAg7FOnBwooSNtQeYtOehrBDSTtKWHSjudMiIuEri0Y0V1RERNJCe4fzhzW1zD1vOIPyssMOR3rw/snFmMESVVkknRIW3ShhISISPjVAFhGRdPHiW/XUNbSwcKqmg6Sq4YPzmDW2kEera3DXsuvJpIRFN0Mj2QzMzdKTPRGREJVHI+w+1ELz0fawQxEREUmoqtU1DMjJ5PLzhocdiryLhVNLeGvvYdbVHAo7lLSihEU3ZkaZnuyJiISqvDBW7bZDfSxERKQfa23r4LG1u7hywgjyczLDDkfexdUTR5KVYVRVa7WQZFLCogejlbAQEQlVmabniYhIGnh+Ux0HjhzVdJA+YOiAHOaMG8ajq2vp6NC0kGRRwqIH5YWxZm/6F1FEJBxd/YTqlbAQEZH+q6q6liH52VxyTlHYochJWDi1hJ0Hmnh1+/6wQ0kbSlj0oCwaoaWtg7rGlrBDERFJS4UDcojkZLJNS0yLiEg/1Xy0nSfX7WL+pJHkZOnXsr5g3vgR5GZlsGSVpoUki/7L6IFWChERCZeZaaUQERHp1/742h4Ot7azsELTQfqKQXnZzD1/OH9YU0tbe0fY4aQFJSx60Jmw2KpSZBGR0JRFI1qxSURE+q2q6hqGDczlorMKww5FTkFlRQl7G1t5cfO+sENJC0pY9GBUQT5mqrAQEQlTZ4WF1jsXEZH+pqH5KH98bQ8LphSTmWFhhyOnYO75wxmQk6lpIUmihEUPcrIyKBmSryd7IiIhKhuaT9PRduoPt4YdioiISK96av1uWto6qNR0kD4nLzuTqyaO5LG1tbS2aVpIoilhcRxl0XxVWIiIhKi8UP2ERESkf6qqrmFUQT4XlBeEHYqchsqKYg41t/HcG3Vhh9LvKWFxHGr2JiISrs5+Qqp2ExGR/mT/4Vaee2MvCyqKMdN0kL7oknOKKIhks6Ra00ISTQmL4yiPRqhraKGptT3sUERE0lLp0KDCQg2QRUSkH3ls7S7aOlyrg/RhOVkZzJ80kqfW79bviwmmhMVxlHU+2duvG2URkTDkZWcyYnCuqt1ERKRfqaqu4ayiAUwoHhx2KHIGKqeUcKS1nT++tifsUPo1JSyOo7MUWU/2RETCo+l5IiLSn+w51MzyzfVUTinRdJA+7qKzCikalMuS6p1hh9KvKWFxHF0JC90oi4iEpiwaUQ8LEUkZZna1mW00s01mdkcP279gZuvNbLWZPWNmo4Pxy81sVdyr2cyuC7Y9FzdeY2a/C8YvM7ODcdu+mtyzlUR4dHUt7mh1kH4gM8N4/+Rilm2s41Dz0bDD6beUsDiO6IAcBuZmKWEhIhKi8miE2kPNtLRpfqiIhMvMMoFFwHxgAnCTmU3otturwHR3nwI8AtwN4O7L3H2qu08F5gJHgCeDbXPitr0A/Cbu+57r3Obudyby/CQ5qlbXMKF4MOcMHxh2KNILKitKaG3r4Kl1u8MOpd9SwuI4zExP9kREQlYejeAOO/c3hR2KiMhMYJO7v+XurcADwLXxOwSJic6bx+VAaQ/fcz3wWNx+AJjZYGLJjN/1euSSErbvO8Kr2w6ouqIfuaC8gFEF+VotJIGUsHgX5dF8VViIiIRI0/NEJIWMArbHfd4RjB3Pp4DHehi/EVjcw/h1wDPufihu7GIzqzazx8xs4qkGLKmlanXsl9oFU4pDjkR6i5lRWVHC85v2su9wa9jh9EtKWLyLzmZv7h52KCIiaakzYaFqNxHpS8zsZmA6cE+38WJgMvBED4fdxLGJjFeA0e5eAXyf41RemNmtZrbSzFbW1dX1RviSIFXVtVxQXtC1GqH0D5UVxbR3OI+trQ07lH4p4QkLMyszs2VBA6J1ZvZ3wXjUzJ4yszeCP4cG42Zm9wbNjFab2QWJjvF4yqMRWto62NPQElYIIiJprWhQLrlZGaqwEJFUsBMoi/tcGowdw8zmAV8GFrp795vIG4DfuvvRbscMIzbl5A+dY+5+yN0bg/dLgexgv2O4+0/cfbq7Ty8qKjq9M5OE27SngQ21hzQdpB+aUDyYs4sGsGSVpoUkQjIqLNqAL7r7BGAWcFvQoOgOYmVv44Bngs8Qa2Q0LnjdCvwoCTH2qEylyCIioXq7n5B6WIhI6F4CxpnZWDPLITa1Y0n8DmY2DfgxsWTFnh6+o3sVRafrgUfdvTnuu0ZasO6lmc0kdt9e3ytnIkm3pLqWDIP3azpIv9M5LWTFln3sOth84gPklCQ8YeHute7+SvC+AdhAbL7ftcAvgt1+QWzeHsH4Lz1mOVAQlM8lXdfc6XolLEREwtI5PU9EJEzu3gbcTmw6xwbgIXdfZ2Z3mtnCYLd7gIHAw8FSpF0JDTMbQ6xC4089fH1PfS2uB9aaWTVwL3Cja55yn+TuPFpdw6yzChk+KC/scCQBKitKcIc/rNG0kN6WlcwfFlyopwEvAiPcvfOf6C5gRPD+eA2Nkv5Pf9TQfMxUYSEiEqbyaISXNu/D3QkeNoqIhCKYmrG029hX497Pe5djt3CcJp3uflkPYz8AfnCaoUoKWVdziLf2Huav33tW2KFIgpxdNJCJJYNZUl3Dpy4ZG3Y4/UrSmm6a2UDgf4DPd+t+TJAtPqWMcTIaDOVmZVI8OE/N3kREQlQWjdDQ0saBI0dPvLOIiEiKqaquISvDmD9pZNihSAJVVpRQvf2AqvN7WVISFmaWTSxZcb+7/yYY3t051SP4s3Oe30k1NEpWg6EylSKLiIRKS5uKiEhf1dHhPLq6lveeW0RBJCfscCSBOper7Vy+VnpHMlYJMeBnwAZ3/07cpiXAJ4L3nwB+Hzf+8WC1kFnAwbipI0mnudMiIuFSwkJERPqqV7fvZ+eBJior1GyzvysdGuHC0UOpqlbCojclo8JiNvAxYG7QfGiVmV0D/BtwpZm9AcwLPkNsXuBbwCbgp8BnkhDjcZVHI+xpaKGptT3MMERE0lZZNB9QwkJERPqeJatqyM3K4MoJmg6SDiqnFPPargZe390Qdij9RjJWCXne3c3dp7j71OC11N3r3f0Kdx/n7vPcfV+wv7v7be5+trtPdveViY7x3ZQXxp7s7divG2URkTBEcrIYNjBX/YRERKRPaWvv4A9rarli/HAG5iZ1rQMJyTVTiskweFRVFr0maU03+yqVIouIhK88mq/rsIiI9Ckvbt7H3sZWKqeUhB2KJMnwQXlcfHYhS6pr0CrEvUMJixNQwkJEJHzqJyQiIn3NklU1DMzN4vLzh4cdiiRR5ZQSttQfYe3OQyfeWU5ICYsTiA7IYUBOpm6URURCVBaNUHOgiaPtHWGHIiIickKtbR08traWqyaMIC87M+xwJImunjSS7EzTaiG9RAmLEzAzyqIRzZ0WkT7NzH5uZnvMbG3c2NfNbGe3hsid275kZpvMbKOZvS+cqN9WFo3Q4VB7oDnsUERERE7ouTfqONTcRmWFpoOkm4JIDu8dV8Sj1TV0dGhayJlSwuIklEcjbK1XwkJE+rT7gKt7GP9ufENkADObANwITAyO+aGZhfp4SNPzRESkL1lSXUNBJJtLxg0LOxQJQWVFCTUHm3l52/6wQ+nzlLA4CZ1zp9U4RUT6Knf/M7DvJHe/FnjA3VvcfTOxZaZnJiy4k6CEhYiI9BVNre08tX438ycVk52pX7fS0bwJI8jNyqBKq4WcMf0XdBLKCyO0tHVQ19ASdigiIr3tdjNbHUwZGRqMjQK2x+2zIxh7BzO71cxWmtnKurq6hAU5YnAeOZkZSliIiEjK++NrezjS2k5lRXHYoUhIBuZmMW/8CJauqaVN/bfOiBIWJ6FMT/ZEpH/6EXA2MBWoBb59ql/g7j9x9+nuPr2oqKi34+uSmWGUDs1XPyEREUl5S6p3MnxQLheNLQw7FAlRZUUxextbeeGt+rBD6dOUsDgJKkUWkf7I3Xe7e7u7dwA/5e1pHzuBsrhdS4OxUJVpaVMREUlxh5qPsmxjHe+fUkxmhoUdjoTosvOGMzA3S9NCzpASFidhVEE+ZkpYiEj/YmbxtaofADpXEFkC3GhmuWY2FhgHrEh2fN2VK2EhIiIp7ql1u2lt69DqIEJediZXTRzB42t30dLWHnY4fZYSFichLzuTkYPzdKMsIn2WmS0GXgDOM7MdZvYp4G4zW2Nmq4HLgb8HcPd1wEPAeuBx4DZ3D/3/tOXRCAebjnLwyNGwQxEREenRkuoaSofmM62sIOxQJAVUVpRwqLmNP7++N+xQ+qyssAPoK8qiEc2dFpE+y91v6mH4Z++y/13AXYmL6NR19hPavv8IQyJDQo5GRETkWPsOt/L8pr3c+t6zMNN0EIFLzhnG0Eg2VdU1XDlhRNjh9EmqsDhJKkUWEQmX+gmJiEgqe2xtLe0dTuUUTQeRmOzMDOZPLuap9bs50toWdjh9khIWJ2l0NMLuQy00Hw29KlpEJC2VRfMBJSxERCQ1LVlVwznDBzK+eFDYoUgKqZxSQtPRdp7ZsCfsUPokJSxOUnlh7Mnejv26URYRCcOgvGyGRrKVsBARkZSz62AzK7bso3JKiaaDyDFmjo0yfFCuVgs5TUpYnKQylSKLiISuXP2EREQkBf1hTS3uUFlRfOKdJa1kZhgLppTw7MY6DjWrcfipUsLiJHXNna7XjbKISFjUAFlERFLRkuoaJo0azFlFA8MORVJQZUUxre0dPLF2V9ih9DlKWJykwgE5RHIy2aobZRGR0JRHI+zY30R7h4cdioiICBB7oFm9/YCabcpxTS0roCyaT9Xq2rBD6XOUsDhJZqZSZBGRkJVHI7R1OLUHm8IORUREBICq1bHeBAsqlLCQnpkZlVNK+L+b9lLf2BJ2OH2KEhanoExLm4qIhEpLm4qISKqpqq5h+uihjCrIDzsUSWGVFSW0dzhLNS3klChhcQrKg4SFu0qRRUTC0NkAWdVuIiKSCl7f3cBruxqoVHWFnMD5IwdxzvCBWi3kFClhcQrKoxGaj3ZQpzIeEZFQFA/JIyvDVGEhIiIp4dHqGjIMrpms1UHk3ZkZCytKeGnLPk1tPQVKWJyCcj3ZExEJVVZmBqOG5rNtn/5HLyIi4XJ3llTX8J6zh1E0KDfscKQPWDClGHf4g5pvnjQlLE5BmeZOi4iErlz9hEREJAWs3XmILfVHqKxQdYWcnLOKBjJp1GBNCzkFSlicgtKhsUY62+r1ZE9EJCylQ7Vik4iEw8yuNrONZrbJzO7oYfsXzGy9ma02s2fMbHQwfrmZrYp7NZvZdcG2+8xsc9y2qcG4mdm9wc9abWYXJPds5USqVteQnWlcPVEJCzl5CytKqN5xkK31h8MOpU9QwuIU5GVnMnJwnp7siYiEqDwaYd/hVhpb2sIORUTSiJllAouA+cAE4CYzm9Btt1eB6e4+BXgEuBvA3Ze5+1R3nwrMBY4AT8Yd9/91bnf3VcHYfGBc8LoV+FGCTk1OQ0eHU1Vdw6XnFjEkkh12ONKHvH9KrEGrqixOjhIWp6g8qid7IiJhUj8hEQnJTGCTu7/l7q3AA8C18TsEiYnOi9NyoLSH77keeCxuv+O5FvilxywHCsxMj/JTxMvb9lN7sFmrg8gpG1WQz/TRQ6mqVh+Lk6GExSkqL9TcaRGRMJWrn5CIhGMUsD3u845g7Hg+BTzWw/iNwOJuY3cF0z6+a2ad3RtP9edJElVV15CXncG88SPCDkX6oIVTS9i4u4GNuxrCDiXlKWFxisqjEXYdaqb5aHvYoYiIpCVVWIhIqjOzm4HpwD3dxouBycATccNfAs4HZgBR4B9P8WfdamYrzWxlXV3dGcUtJ6etvYOla2q5YvwIBuRmhR2O9EHzJxWTYZoWcjKUsDhFnTfKO/ar8aaISBiGRLIZnJelCgsRSbadQFnc59Jg7BhmNg/4MrDQ3Vu6bb4B+K27H+0ccPfaYNpHC/BfxKaenPTPc/efuPt0d59eVFR0Gqclp+qFt+rZ29hK5RRNB5HTUzQol/ecPYyq1TW4e9jhpDQlLE7R20ubqquriEhYND1PRELwEjDOzMaaWQ6xqR1L4ncws2nAj4klK/b08B030W06SGdfCjMz4DpgbbBpCfDxYLWQWcBBd9ek9xRQVV3DoNwsLjtPCSI5fQsrSthaf4Q1Ow+GHUpKU8LiFHXNna7XjbKISFjKo0pYiEhyuXsbcDux6RwbgIfcfZ2Z3WlmC4Pd7gEGAg8HS5R2JTTMbAyxiok/dfvq+81sDbAGGAZ8IxhfCrwFbAJ+CnwmEeclp6alrZ3H1u7iqokjycvODDsc6cPeN3Ek2ZnGklWaFvJuNOnqFA0bmEN+dibb9mlKiIhIWMqiEZ5ev4eODicjw8IOR0TShLsvJZZIiB/7atz7ee9y7BZ6aJrp7nOPs78Dt51urJIYf9pYR0NzG5UVWrBFzsyQSDaXnlvEo6tr+adrxut+5jhUYXGKzExP9kREQlYejdDa3sHuhuawQxERkTSyeMU2hg/KZfY5w8IORfqByooSdh1qZuXW/WGHkrKUsDgNZdGIutOLiISobKim54mISHJt33eEZ1+v48YZZWRn6tcoOXPzxo8gLzuDJdXv6KcrAf2Xdho6KyzU0VVEJBxd/YSUPBYRkST59YptGHDjzPKwQ5F+YkBuFleMH8HSNbtoa+8IO5yUpITFaSiP5tN0tJ29ja1hhyIikpZKCvLJMFTtJiIiSdHS1s5DL21n3vgRlBTkhx2O9CMLK0rYd7iV/32zPuxQUpISFqehvFBP9kREwpSTlUHxkHxdh0VEJCkeX7uL+sOt3DxrdNihSD9z6blFDMrNYkm1VgvpiRIWp6GzFFlP9kREwlMejbB9v1ZsEhGRxLt/+TZGF0a4RM02pZflZWdy1cSRPLF2Fy1t7WGHk3KUsDgNpUNVYSEiEjat2CQiIsmwcVcDK7bs46MXlWvpSUmIyopiGlra+NPGurBDSTlKWJyGvOxMRg7O042yiEiIygsj1DW00NSqpxEiIpI497+4lZysDD58YVnYoUg/NfucYUQH5GhaSA+UsDhNerInIhKuss7peft1LRYRkcQ43NLGb17ZyYLJxQwdkBN2ONJPZWdmMH/SSJ7ZsIcjrW1hh5NSlLA4TWXRiHpYiIiEqGtp03pdi0VEJDF+v6qGxpY2Pqpmm5JglRUlNB1t5+kNe8IOJaUoYXGayqMRdh1qpvmoSpFFRMLQlbBQ8lhERBLA3fnV8q2MLx7MBeUFYYcj/dzMMVFGDM5lySpNC4mnhMVpKi/Mxx12qEO9iEgohkayGZibpYSFiIgkxCvbDrC+9hA3zyrHTM02JbEyMowFU0r40+t7OHjkaNjhpAwlLE6TljYVEQmXmVE6NF/XYRERSYj7l29lYG4W100dFXYokiYqK0o42u48sX5X2KGkDCUsTlOZSpFFREKnBsgiIpII+w+38uiaWj4wbRQDcrPCDkfSREXpEMqjEaq0WkiXhCcszOznZrbHzNbGjX3dzHaa2argdU3cti+Z2SYz22hm70t0fKeraGAuedkZulEWEQlRZ8LC3cMORURE+pGHX95Oa1sHN6vZpiSRmVFZUcz/vlnP3saWsMNJCcmosLgPuLqH8e+6+9TgtRTAzCYANwITg2N+aGaZSYjxlJmZnuyJiISsvDBCS1sHdQ36n7qIiPSOjg7n/he3MWPMUM4bOSjscCTNVFaU0N7hPLamNuxQUkLCExbu/mdg30nufi3wgLu3uPtmYBMwM2HBnaFyLW0qIhKqzul52/frWiwiIr3j+U172Vp/RNUVEorzRw5mdGGEP7+xN+xQUkKYPSxuN7PVwZSRocHYKGB73D47grGUVKZSZBGRUGlpUxER6W2/Wr6VwgE5XD1pZNihSJqaOSbKS1v20dGh3zPDSlj8CDgbmArUAt8+1S8ws1vNbKWZrayrq+vt+E5KeTTCkdZ26g+3hvLzRUTS3aiCfMxgW72WmBYRkTNXe7CJpzfs5oYZZeRmpeTMdEkDM8dGOXDkKJvqGsMOJXShJCzcfbe7t7t7B/BT3p72sRMoi9u1NBjr6Tt+4u7T3X16UVFRYgM+Dj3ZExEJV152JiMH5+k6LCIivWLxiu048Bczy8MORdLYRWMLAXhx88l2Vui/QklYmFlx3McPAJ0riCwBbjSzXDMbC4wDViQ7vpM1ujCYO60bZRGR0JSpn5CIiPSCo+0dPLBiG5edW9TVI0kkDGXRfEYMzuUlJSxI+KLCZrYYuAwYZmY7gK8Bl5nZVMCBLcDfALj7OjN7CFgPtAG3uXt7omM8XaVDgwqLet0oi4iEpTwa4Xk1phIRkTP09Prd7Glo4V/VbFNCZmbMHFvIis37cHfMLOyQQpPwhIW739TD8M/eZf+7gLsSF1HvycvOZMTgXJUii4iEqDwaYdehZpqPtpOXrfnGIiJyev57+VZGFeRz2XnDww5FhJljhlJVXcP2fU2UF6ZvxU+Yq4T0C+XBSiEiIhKOsmg+ADv2q/GmiIicnjfrGvnfN+v5i4vKycxI36fZkjpmBn0sVmxJ72khSlicoTIlLEREQtXZAFl9LERE5HTdv3wb2ZnGDdPLTryzSBKMGz6QIfnZrNhcH3YooVLC4gzFlyKLiEjylWnFJhEROQNNre088vJ23jdxJEWDcsMORwSAjAxjxpgoL23ZH3YooVLC4gyVRyO4w84DKkUWEQlD0cBc8rIzlLAQEZHTUrW6hkPNbdysZpuSYi4aG2Xz3sPsaWgOO5TQKGFxhsr1ZE9EJFRmpn5CIiJy2u5fvpVxwwdy0dho2KGIHGNG8O/kS5vTt8pCCYszpLnTIiLhK49GdB0WEZFTtmbHQap3HOSjF5Wn9dKRkpomlgwmkpOZ1n0slLA4Q0WDcsnNymBbvW6URUTCUhYkLNw97FBEpB8zs6vNbKOZbTKzO3rY/gUzW29mq83sGTMbHYxfbmar4l7NZnZdsO3+4DvXmtnPzSw7GL/MzA7GHfPV5J5tevjV8q3kZ2fywQtLww5F5B2yMzO4oHwoL25O35VClLA4QypFFhEJX3k0wuHWdvYdbg07FBHpp8wsE1gEzAcmADeZ2YRuu70KTHf3KcAjwN0A7r7M3ae6+1RgLnAEeDI45n7gfGAykA/8Vdz3Pdd5nLvfmaBTS1sHm47y++qdXDethMF52WGHI9KjmWOjbNzdwMEjR8MOJRRKWPQCJSxERMKlfkIikgQzgU3u/pa7twIPANfG7xAkJjovRMuBnh7bXw881rmfuy/1ALDiOMdIAvzmlR00H+3goxep2aakrhljorjDyq3pWWWhhEUvUCmyiEi4lLAQkSQYBWyP+7wjGDueTwGP9TB+I7C4+2AwFeRjwONxwxebWbWZPWZmE089ZDked+f+F7cxtayASaOGhB2OyHFNKy8gO9NYsUUJCzlNowtViiwiEqbSoWqALCKpw8xuBqYD93QbLyY29eOJHg77IfBnd38u+PwKMNrdK4DvA787zs+61cxWmtnKurq63jqFfm/5W/vYtKdRS5lKysvLzmRKaQEr0rSPhRIWvUBP9kREwpWfk0nRoFxdh0UkkXYCZXGfS4OxY5jZPODLwEJ3b+m2+Qbgt+5+tNsxXwOKgC90jrn7IXdvDN4vBbLNbFj3n+fuP3H36e4+vaio6PTOLA39avlWhuRns2BKcdihiJzQzLFR1uw4SFNre9ihJJ0SFr1ACQsRkfCpn5CIJNhLwDgzG2tmOcSmdiyJ38HMpgE/Jpas2NPDd9xEt+kgZvZXwPuAm9y9I258pAXrbJrZTGL37em7tmEv2nOomSfW7eLDF5aSl50ZdjgiJzRzbJS2DufVbfvDDiXplLDoBSpFFhEJX3k0wvZ9TWGHISL9lLu3AbcTm86xAXjI3deZ2Z1mtjDY7R5gIPBwsBRpV0LDzMYQq9D4U7ev/g9gBPBCt+VLrwfWmlk1cC9wo6thWq948KXttHU4H9V0EOkjLhw9FDPScnnTrLAD6A/yczIZPiiXrfVKWIiIhKUsGuF3q3bS2tZBTpby8SLS+4KpGUu7jX017v28dzl2Cz006XT3Hu/H3f0HwA9ON1bpWXuHs3jFNi45Zxhjhw0IOxyRkzI4L5sJxYN5KQ0bb+qOrpeoFFlEJFzl0QjusPOAqixERKRnf3xtDzX/j707D4/zru+9//6O9rFkSyMr3qSxFLIvjm0sOQtLCIYSCkl6SGlSEhJO2pxD4ZzreTjtVc7DdaAPnF6lTc/THgrtAVqyECBlCYmBbBypIQAAIABJREFUhJCGUCCJt8RO4jgJMbFsyfsiedf+ff6YW85YkW3J1szvnpnP67p0aeZ33zPzGVv+6fZ3fsv+Pm65PB06isiktLemeG5LDwNDI6c+uYioYDFF0tHWpiIiEsboekLqi0VE5ETuX7GZWdOrWHbhrNBRRCZlaVuKvsER1m/bHzpKXqlgMUVaUkm2H+ijf6j0Vm4VEYkDLYAsIiIns2XvEX752m5uak9TXqb/BklhWdKaAii57U31L3WKHBuK3KOhyCISP2b2DTPbZWbrs9pSZva4mb0WfW+I2s3MvmRmG83sBTNbHC75xJ1VV0VleUIjLEREZFzfWrWZhBk3d2g6iBSeproqzm6axmoVLOR0pBv1yZ6IxNo9wPvGtH0aeMLdzwWeiO4DXAucG33dCfxTnjKekUTCaGmoUT8sIiJv0j80zPfWdPOeC2cxe0Z16Dgip2VpW4rVnfsYGSmdDYNUsJgimjstInHm7r8ExpbkrwfujW7fC9yQ1X6fZ6wA6s1sTn6SnhktgCwiIuN59MUd7Ds8wC3aylQKWHtrigN9Q7y682DoKHmjgsUUaaqtoqo8oQtlESkks9x9e3R7BzC6Atk8oCvrvG7G2YoPwMzuNLM1ZrZm9+7duUs6QelUki17j+BeOp88iIjIqd2/YjNtM6dx5VsaQ0cROW0dbaW3joUKFlMkkTBa9MmeiBQoz/wPf9L/y3f3r7n7Endf0tTUlINkk9OSSnKwf4j9RwdDRxERkZh4efsB1mzu4SNL0yQSFjqOyGlrbkgyd0a1ChZyeuankmzZp0U3RaRg7Byd6hF93xW1bwVass5rjtpir0U7hYiIyBj3r9hMVXmCG9/aHDqKyBnraEuxqnNfyYwmVcFiCrWkknTt01BkESkYy4Hbotu3AQ9ntX802i3kcmB/1tSRWNPWpiIiku1Q/xAPrd3KBxbMpT5ZGTqOyBlrb0ux+2A/nXtL41pHBYsplE4lOdQ/RM8RDUUWkXgxs+8AzwDnm1m3md0BfBF4j5m9BiyL7gM8ArwObAS+DvxJgMinRSMsREQk2w/XbuXwwDC3XK6tTKU4LI3WsSiV7U3LQwcoJtmf7KWmqYIrIvHh7jef4NC7xznXgU/kNlFu1FaV0zitUjs2iYgI7s63Vmzm4rnTWdhSHzqOyJR4S1MtqWmVrNy0jw+3t5z6AQVOIyymULoxU7DYvPdw4CQiIqUrMz1P6wmJiJS6Zzf38MqOg9xy+XzMtNimFAczo721gdWdpTHCQgWLKdTSkClY6JM9EZFw0tqxSUREyCy2WVdVzvUL54aOIjKlOtoa2bLvCNv3F/8HNCpYTKGayjKa6qp0oSwiElA6lWRr71GGhkdCRxERkUD2HurnkRd38B8WzyNZqVnwUlw6WjPrWJTC9qYqWEwxfbInIhJWOpVkeMTZvr8vdBQREQnke892MzA8wkcunx86isiUu3BOHbVV5SUxLUQFiymW1txpEZGgtFOIiEhpGxlxvr1yC0vbUpw3qy50HJEpV16WYPH8Bo2wkMlrSSXZtv8oA0MaiiwiEsLoAsgqWIiIlKZfvrabLfuOcItGV0gRW9qW4jc7D9FzeCB0lJxSwWKKpVNJ3GFrr0ZZiIiEMHt6NRVlpoKFiEiJun/FFmbWVvE7F88OHUUkZ9qjdSyKfVqIChZTLK2hyCIiQZUljHn1NeqHRURK0Nbeo/z8lZ38QXszleX6r44UrwXNM6gsT6hgIZOjgoWISHgtqaS2mBYRKUHfWbkFB27uSIeOIpJT1RVlLGypL/p1LFSwmGJn1VVRWZ7QhbKISEDasUlEpPQMDI3wwOourjn/LJobkqHjiORcR2uK9dsOcLh/KHSUnFHBYoolEpa5UN6rC2URkVDSqSS9RwbZf3QwdBQREcmTn23YwZ5D/VpsU0pGR1uK4RHnuS09oaPkjAoWOaBP9kREwhqdnqfRbiIipeP+FZtpbqjhHec1hY4ikheL5zeQMIp6WogKFjmQjuZOu3voKCIiJaklKlh096hgISJSCjbuOsiK1/fxh0vTlCUsdByRvKitKueSeTNUsJDJaUklOdg/RM8RDUUWEQkh3agFkEVESsn9K7ZQUWZ8eElL6CgiedXemmJtVy/9Q8Oho+SEChY5oJ1CRETCml5dQX2yQv2wiEgJODIwxA+e6+baS+Yws7YqdByRvOpoSzEwNMKL3ftDR8kJFSxyQAULEZHwMusJHQ0dQ0REcuxHz2/jYN+QFtuUktTemgJgZZFOC1HBIgdaUjWAFnsTEQmpJVpPSEREitv9K7Zw3qxa2lsbQkcRybvUtErOPau2aNexUMEiB5KV5cysrdLWpiIiAbU0JOnuOcLwiBZAFpGpYWbvM7NXzWyjmX16nOOfMrMNZvaCmT1hZvOj9neZ2bqsrz4zuyE61mZmK6Pn/Fczq4zaq6L7G6Pjrfl8r4Xi+a5eXty6n1svn4+ZFtuU0tTRluLZzT1Fec2jgkWOpFM1mhIiIhJQOpVkcNjZcaAvdBQRKQJmVgZ8BbgWuAi42cwuGnPaWmCJuy8Avg/8DYC7P+nuC919IXANcAT4WfSYvwb+zt3PAXqAO6L2O4CeqP3vovNkjPtXbCZZWcYNi+aFjiISTEdbikP9Q7y8/UDoKFNOBYscycydVsFCRCSUY+sJabSbiEyNDmCju7/u7gPAA8D12SdEhYnRTmcF0DzO89wIPOruRywzJOAaMsUNgHuBG6Lb10f3iY6/2zSE4Di9RwZY/vw2blg0j7rqitBxRIIZXceiGKeF5LxgYWbfMLNdZrY+qy1lZo+b2WvR94ao3czsS9HQtxfMbHGu8+VKOpVk+/6jDAyNhI4iIlKSRgsWWsdCRKbIPKAr63531HYidwCPjtN+E/Cd6HYj0OvuQ+M857HXi47vj86XyPef7aZ/aIRblmqxTSltc+traG6oUcHiNN0DvG9M26eBJ9z9XOCJ6D5khtidG33dCfxTHvLlREsqyYjDtl6tUC8iEsKc+mrKEqbRbiKSd2Z2C7AEuGtM+xzgUuCxKXytO81sjZmt2b1791Q9bey5O99euYXF6Xoumjs9dByR4DraUqzu3Id7ca1jkfOChbv/Ehhb6ske4jZ26Nt9nrECqI869oKjrU1FRMKqKEswt75a/bCITJWtQEvW/eao7Thmtgz4DHCdu/ePOfxh4IfuPhjd30vmerd8nOc89nrR8RnR+cdx96+5+xJ3X9LU1HRab6wQPf3bvby+57C2MhWJdLSm2Ht4gN/uPhw6ypQKtYbFLHffHt3eAcyKbk92qF1szW+cBqhgISISUjqVpKtH/bCITInVwLnRrh6VZKZ2LM8+wcwWAV8lU6zYNc5z3Mwb00HwzEehT5JZ1wLgNuDh6Pby6D7R8Z97sX10egbuX7GZhmQF77+0ID/bFJlyHW3FuY5F8EU3o4530p1v3Ie/nVVXRWV5QnOnRUQCSqeS6odFZEpE60h8ksx0jpeB77r7S2b2eTO7LjrtLqAW+F60femxgka0LWkL8O9jnvrPgU+Z2UYya1T8S9T+L0Bj1P4p3phCXfJ2HujjZxt28vtLWqiuKAsdRyQW2mZOY2ZtFas7i6tgUX7qU3Jip5nNcfft0ZSP0Qr0hIbaQWb4G/A1gCVLlsSu2pxIGC0N2tpURCSkllSSPYcGONw/xLSqUL/yRKRYuPsjwCNj2j6bdXvZSR7byTgjh939dTI7kIxt7wN+/wziFq0HVnUxPOL8YUc6dBSR2DAzOtoaNMJiimQPcRs79O2j0W4hlwP7s6aOFBxtbSoiEtaxnUI0LUREpCgMDY/wnVVbePu5M2mdOS10HJFY6WhNsbX3KN1FdN2Tj21NvwM8A5xvZt1mdgfwReA9ZvYasCy6D5mK9evARuDrwJ/kOl8upVNJtuw9UnQrtYqIFIqWhmgB5L3F84tbRKSUPfHKLnYc6NNimyLjaI/WsSimaSE5Hx/r7jef4NC7xznXgU/kNlH+tKSSHOwfovfIIA3TKkPHEREpOdqxSUSkuNy/YjNzZlTz7gvOCh1FJHYumD2duupyVm3q4fcWNYeOMyWCL7pZzHShLCISVn2ygrqqci28KSJSBDr3HOZXr+3hpvY05WX6b4zIWGUJY8n8BlZtetMOyAVL/9JzKN2ogoWISEhmRovWExIRKQrfWrmZ8oRxU0fLqU8WKVEdbY38dvdh9hzqDx1lSqhgkUPH5k7rQllEJBgtgCwiUvj6Bof53rPdvPfiWcyaXh06jkhsdbQ1ALCmSNaxUMEih6ZVlTOztlJDkUVEAko3JunqOcrIiBZAFhEpVD95YTu9Rwa5ZakW2xQ5mUvn1VNVnmBlkWxvqoJFjmkosohIWC2pJANDI+w6WBxDI0VEStH9KzdzdtM0rnhLY+goIrFWWZ5gcbqhaHYKUcEixzQUWUQkLC2ALCJS2F7atp+1W3r5yNL5mFnoOCKx196WYsO2AxzsGwwd5YypYJFj6VSSbb1HGRweCR1FRKQkjRYsND1PRKQw3b9iC9UVCW5cXBzbNIrk2tK2FCMOz27uCR3ljKlgkWPpVJIRh229R0NHEREpSfPqazDTCAsRkUJ0sG+Qh9dt5YML5jIjWRE6jkhBWJSupzxhrCqCdSxUsMgxDUUWEQmrsjzB3Bk1GmEhIlKAfrh2K0cGhrnlci22KTJRycpyLpk3oyjWsVDBIsfSjSpYiIiE1txQo35YRKTAuDv3r9jMpfNmcFlLfeg4IgWloy3F81376RscDh3ljKhgkWOz6qqpLEvoQllEJCAtgCwiUnhWd/bwm52HuOXydOgoIgWnozXFwPAI67p6Q0c5IypY5FgiYTSnatiyVxfKIiKhpFNJdh3s5+hAYX/KICJSSu5fsZm66nI+eNnc0FFECk57awozWF3g61ioYJEH+mRPRCSs0el53T3qi0VECsGeQ/08un47H1rcTLKyPHQckYIzI1nB+bPqWFXg61ioYJEH6VSSLXuP4O6ho4iIlKQWLYAsIlJQ/nV1F4PDrukgImegoy3Fs5t7GBoeCR3ltKlgkQfpVJKD/UPsPzoYOoqISEnSjk0iIoVjaHiEb6/cwuVnpzjnrLrQcUQKVntriiMDw7y07UDoKKdNBYs80Cd7IiJhNU6rJFlZpn5YRKQAPL5hJ1t7j3L7lW2ho4gUtI62FEBBb2+qgkUe6JM9EZGwzIx0KkmX+mERkdi7+6lOmhtqeM9Fs0JHESlos6ZXM78xycoCXnhTBYs80AgLEZHwWlJJuvYdDR1DREROYv3W/azq3MdtV7RSlrDQcUQKXkdritWd+xgZKcz1FFWwyIPaqnIap1Xqkz0RkYBGd2zSAsgiIvF1z9OdJCvL+HB7S+goIkWhoy1F75FBNu4+FDrKaVHBIk9atLWpiEhQ6VSSo4PD7Dk0EDqKiIiMY8+hfpav28aHFjczo6YidByRojC6jkWhTgtRwSJP5jeqYCEiElJLqgbQ9DwRkbj69sotDAyPcNuVraGjiBSNdCrJrOlVrFbBQk4mnUqyrbePwQLeA1dEpJCNLoCs6XkiIvEzMDTCN1ds5h3nNXHOWbWh44gUDTOjvTXFqk37CnJarAoWedKSSjI84mzv7QsdRUSkJDU3aAFkEZG4enT9dnYf7OdjV7WGjiJSdJa2pdhxoI/unsJbfFwFizzR1qYiImFVV5Qxa3qV+mERkRj6xlOdnD1zGu88tyl0FJGi017A61ioYJEnowWLzfsOB04iIlK60loAWUQkdp7b0sPzXb3cflUrCW1lKjLlzjurjhk1FazatDd0lElTwSJPZk2vprIsoQtlEZGAWlJJrWEhIhIzdz/VSV1VOR9a3Bw6ikhRSiSM9tYGVnf2hI4yaSpY5ElZwmhuqNGFsohIQOlUkh0H+ugbHA4dRUQKkJm9z8xeNbONZvbpcY5/ysw2mNkLZvaEmc3POpY2s5+Z2cvROa1R+6/MbF30tc3MHorarzaz/VnHPpuv95lPO/b38eiL2/lwewvTqspDxxEpWh1tKTbtOcyug4W1pqIKFnnUoqHIIiJBpVNJ3GFrb+EtOiUiYZlZGfAV4FrgIuBmM7tozGlrgSXuvgD4PvA3WcfuA+5y9wuBDmAXgLu/3d0XuvtC4BngwazH/Gr0mLt/PidvLLD7V2xm2J3brmgNHUWkqHW0NQKwelNhjbJQwSKP0qkkW/aqYCEiEooWQBaRM9ABbHT31919AHgAuD77BHd/0t1HO5gVQDNAVNgod/fHo/MOZZ1HdM504Brgody+jfjoGxzm26u2sOzCWaQbk6HjiBS1i+dOp6airODWsVDBIo/SqSQH+obYf2QwdBQRkZI0WrDoVsFCRCZvHtCVdb87ajuRO4BHo9vnAb1m9qCZrTWzu6IRG9luAJ5w9wNZbVeY2fNm9qiZXXymbyBulq/bxr7DA9rKVCQPKsoSvHV+A6sKbB0LFSzyqEWf7ImIBNVUV0VVuRZAFpHcMrNbgCXAXVFTOfB24E+BduBs4PYxD7sZ+E7W/eeA+e5+GfAPnGDkhZndaWZrzGzN7t27p+w95Jq7842nNnHB7DquOLsxdByRktDemuKVHQcK6gN0FSzySEORRUTCMjOtJyQip2sr0JJ1vzlqO46ZLQM+A1zn7v1RczewLppOMkSm+LA46zEzyUw5+clom7sfcPdD0e1HgIrovOO4+9fcfYm7L2lqajrT95g3K17fxys7DnL7la2YaStTkXzoaEvhDms27wsdZcJUsMij0bl5ulAWEQknnUqyZZ8W3RSRSVsNnGtmbWZWCdwELM8+wcwWAV8lU6zYNeax9WY2WlG4BtiQdfxG4Mfufmz5fjObbdH/5M2sg8x1e2FNPj+Ju5/aREOyghsWnWxWjYhMpUXpeirKjFWdKljIOGqrymmcVqmChYjEipl1mtmL0bZ5a6K2lJk9bmavRd8bQuecKulUkq59R3D30FFEpIBEIyM+CTwGvAx8191fMrPPm9l10Wl3AbXA96I+dXn02GEy00GeMLMXAQO+nvX0N3H8dBDIFDHWm9nzwJeAm7xIOq6ufUf4t5d3cnNHmuqKsUt5iEiuVFeUsaC5nlWbCqdgoc2O86wlulAWEYmZd7n7nqz7nyaz+NsXzezT0f0/DxNtarWkkhzqH6LnyCCpaZWh44hIAYmmZjwypu2zWbeXneSxjwMLTnDs6nHavgx8+XSzxtl9z3RiZtx6xfzQUURKTkdbiq//8nWODgxTUxn/gqFGWORZWnOnRaQwXA/cG92+l8zq9UVB6wmJiIRzuH+IB1Z3ce0ls5kzoyZ0HJGS09GaYmjEWbulMHYLUcEiz9KpJFt7jzI0PBI6iojIKAd+ZmbPmtmdUdssd98e3d4BzBrvgYW4Or0KFiIi4Tz4XDcH+4a0lalIIG9tbcCMglnHQgWLPEunkgyPONt6+059sohIfrzN3RcD1wKfMLN3ZB+M5kyPO2+6EFenb0llPtHT9DwRkfwaGXHufrqTBc0zWJwumqWRRArK9OoKLpw9vWDWsVDBIs9a9MmeiMSMu2+Nvu8Cfkhma72dZjYHIPq+68TPUFiSleXMrK1iy171wyIi+fSrjXt4ffdhPnaVtjIVCamjLcVzW3oYGIr/qH8VLPJMW5uKSJyY2TQzqxu9DbwXWE9mq77botNuAx4OkzA30qka9cMiInl291ObaKqr4ncvnRs6ikhJ62hL0Tc4wvpt+0NHOSUVLPJs9vRqKspMF8oiEhezgF9H2+atAn7i7j8Fvgi8x8xeA5ZF94tGOpWkq0f9sIhIvvx29yF+8epublk6n8py/RdEJKT21hRAQUwL0bameVaWMJobtLWpiMSDu78OXDZO+17g3flPlB/pVJLlz29jcHiEijJdOIuI5Nq9T3dSWZbgD5emQ0cRKXlNdVWcPXMaqzft4z+/8y2h45yUrtICaNHWpiIiQTWnkow4bOs9GjqKiEjR2390kO8/280HLptDU11V6DgiQmZayOrOfYyMjLuuemyoYBGA5k6LiISlrU1FRPLne2u6ODIwzH+8qi10FBGJdLSlONA3xKs7D4aOclIqWASQTiXZf3SQ/UcGQ0cRESlJKliIiOTH8Ihz7zOdtLc2cMm8GaHjiEikUNaxUMEigNELZS34JiISxqzp1VSWJVSwEBHJsSde3knXvqN8TKMrRGKluaGGuTOqVbCQN0unpgH6ZE9EJJTMAsg1WgBZRCTH7n6qk7kzqnnvRbNCRxGRLGZGe1uKVZ37cI/vOhZBCxZm1mlmL5rZOjNbE7WlzOxxM3st+t4QMmMutKRqABUsRERC0gLIIiK59fL2Azzz+l5uvaKVcu3IJBI7HW0pdh/sp3NvfK+H4tBzvMvdF7r7kuj+p4En3P1c4InoflGpq64gNa1SF8oiIgGlU0m2xPgXtIhIobvnqU6qKxLc3NESOoqIjKMjWsdidYynhcShYDHW9cC90e17gRsCZsmZllRSQ5FFRAJKp5Ic6BvSAsgiIjmw7/AAD63byu8taqY+WRk6joiM45yzaklNq2SlChYn5MDPzOxZM7szapvl7tuj2zuAopzwlk4l2axP9kREgmnRTiEiIjnznVVb6B8a4WNXtYaOIiInYGa0tzawulMFixN5m7svBq4FPmFm78g+6JnVP8ZdAcTM7jSzNWa2Zvfu3XmIOrXSqRq29h5laHgkdBQRkZKkrU1FRHJjcHiEbz6zmbedM5PzZtWFjiMiJ9HemmLLviPs2N8XOsq4ghYs3H1r9H0X8EOgA9hpZnMAou+7TvDYr7n7Endf0tTUlK/IUyadSjI84myP6Q+GiEixG10AWVtMi4hMrZ+u38GOA33cfmVr6CgicgpL2xoBWBXTURbBChZmNs3M6kZvA+8F1gPLgdui024DHg6TMLc0FFlEJKy66goakhXqh0VEptjdT21ifmOSay44K3QUETmFC+fUMa2yjFWb9oaOMq6QIyxmAb82s+eBVcBP3P2nwBeB95jZa8Cy6H7R0VBkEZHw0loAWURkSj3f1ctzW3q57YpWEgkLHUdETqG8LMFbW1OsiunCm+WhXtjdXwcuG6d9L/Du/CfKrzkzaihPmAoWIiIBtaSSvLh1f+gYIiJF456nO6mtKuf3lzSHjiIiE9TR2sDf/mw3PYcHaJgWr119Qi+6WbLKEkZzQ40KFiIiAaVTSbb2aAFkEZGpsOtAHz9+YRs3vrWZuuqK0HFEZII6onUs4rhbiAoWAbVoKLKISFDpVJIhLYAsIjIl7l+5haER5zYttilSUBY0z6CyLKGChRwvnUpqhIWISECj6wmpeCwicmb6h4b59srNvOv8s2ibOS10HBGZhOqKMha21MdyHQsVLAJKp5L0Hhlk/9HB0FFEREqSdmwSEZkaP3p+O3sODfCxq1pDRxGR09DRlmL9tgMc7h8KHeU4KlgENL9Rn+yJiIQ0Z0a1FkAWETlD7s7dT23i3LNqeds5M0PHEZHT0N6WYnjEeW5LT+gox1HBIqAWDUUWEQmqvCzBPC2ALCJyRtZs7uGlbQe4/apWzLSVqUgheuv8BhJG7KaFqGARkIYii4iEl9YCyCIiZ+TupzYxvbqc31s0L3QUETlNtVXlXDx3hgoW8obp1RU0JCtUsBARCagllaSr52joGCIiBWlr71Eee2knN3ekSVaWh44jImegoy3F2q5e+oeGQ0c5RgWLwLRTiIhIWC0NSfYdHuBgnxZAFpGTM7P3mdmrZrbRzD49zvFPmdkGM3vBzJ4ws/lZx9Jm9jMzezk6pzVqv8fMNpnZuuhrYdRuZval6LVeMLPF+Xqfk3HfM524O7deMf+U54pIvLW3phgYGuHF7v2hoxyjgkVgLSpYiIgE9cbWphplISInZmZlwFeAa4GLgJvN7KIxp60Flrj7AuD7wN9kHbsPuMvdLwQ6gF1Zx/7M3RdGX+uitmuBc6OvO4F/mur3dKaODgzzwKoufufi2TQ3JEPHEZEz1N7aAMDKGE0LUcEisHQqydaeowwNj4SOIiJSktJaT0hEJqYD2Ojur7v7APAAcH32Ce7+pLuPdiYrgGaAqLBR7u6PR+cdyjrvRK4H7vOMFUC9mc2Zwvdzxn64div7jw7ysavaQkcRkSnQWFvFuWfVsrpTBQuJpFNJhkac7fv7QkcRESlJae3YJCITMw/oyrrfHbWdyB3Ao9Ht84BeM3vQzNaa2V3RiI1RfxlN+/g7M6s6zdfLK3fnnqc3cfHc6cc+lRWRwtfelmJNZw/DIx46CqCCRXC6UBYRCWtGsoLp1eUaYSEiU8bMbgGWAHdFTeXA24E/BdqBs4Hbo2P/Hbggak8Bfz7J17rTzNaY2Zrdu3efefgJemrjXn6z8xC3X6mtTEWKydK2FIf6h3h5+4HQUQAVLILT1qYiIuGlG7WekIic0lagJet+c9R2HDNbBnwGuM7d+6PmbmBdNJ1kCHgIWAzg7tujaR/9wN1kpp5M+PXc/WvuvsTdlzQ1NZ3RG5yMu5/aROO0Sj542dy8vaaI5F57awogNtubqmAR2JwZ1ZQnTBfKIiIBpVNJjXQTkVNZDZxrZm1mVgncBCzPPsHMFgFfJVOs2DXmsfVmNlpRuAbYED1mTvTdgBuA9dE5y4GPRruFXA7sd/ftuXlrk9O55zA/f3UXH1maprqi7NQPEJGCMbe+huaGGhUsJKO8LMG8hhoVLEREAmpJJenuORqb+ZoiEj/RyIhPAo8BLwPfdfeXzOzzZnZddNpdQC3wvWiL0uXRY4fJTAd5wsxeBAz4evSYb0VtLwIzgf8ZtT8CvA5sjM79k1y/x4m695lOyhPGLZdrK1ORYtTRmmJ15z7cw18XlYcOIPpkT0QktHQqycDwCDsP9DG3viZ0HBGJKXd/hEwhIbvts1m3l53ksY8DC8Zpv+YE5zvwidMOmyMH+wb53ppufvfSOZw1vTp0HBHJgY62FA/b5fhaAAAgAElEQVSu3cpvdx/mnLNqg2bRCIsYSKc0d1pEJCRtbSoiMjHff7abQ/1D3K6tTEWKVntbZh2LOGxvqoJFDKRTSXqODHKgbzB0FBGRktTSoIKFiMipjIw49z7dyaJ0PQtb6kPHEZEcOXvmNGbWVsZiHQsVLGJAW5uKiIQ1t76GhEG3+mERkRN68tVddO49wsc0ukKkqJkZHW0pFSwko0UFCxGRoCrLE8yZoQWQRURO5p6nO5k9vZprL5kdOoqI5Fh7a4qtvUfp7gl7baSCRQykGzMFi817daEsIhKK1hMSETmx13Ye5Fev7eHWK+ZTUab/QogUu46YrGOh3iYGpldXUJ+s0IWyiEhAmYLF0dAxRERi6e6nO6ksT3BTe0voKCKSBxfMnk5dVTmrNvUEzaGCRUzokz0RkbDSjUn2HOrnyMBQ6CgiIrHSe2SAB5/r5oaFc2msrQodR0TyoCxhLGltYNWmvUFzqGAREy2ppNawEBEJ6I31hDTKQkQk2wOru+gbHNFimyIlpr0txW93H2bPof5gGVSwiIl0Kkl3z1GGRzx0FBGRkjS6Y5NGu4mIvGFoeIRvPrOZy89OceGc6aHjiEgeLY3WsVgTcB0LFSxiIp1KMjTibN+vT/ZEREJQwUJE5M0e37CTrb1HNbpCpARdOq+eqvIEKwNub6qCRUzoQllEJKyGZAW1VeWanicikuXupzppbqhh2YWzQkcRkTyrLE+wKF0fdKcQFSxiIn1s7rQulEVEQjAzWrQAsojIMeu37mdV5z5uu6KVsoSFjiMiAXS0NbJh2wEO9g0GeX0VLGJizoxqyhOmC2URkYBaGmrUD4uIRO5+qpNkZRkf1lamIiWrozXFiMOzm8Nsb6qCRUyUlyWY11DDFq1OLyISTDrascldCyCLSGnbc6ifHz2/jQ8tbmZGTUXoOCISyOL59ZQnjFWB1rFQwSJG0hqKLCISVLoxSf/QCLsPhtu+S0QkDr69cgsDwyPcflVr6CgiElCyspyL580Ito6FChYx0hJ9siciImG0aAFkEREGhkb45orNvPO8Jt7SVBs6jogEtrQtxfNd++kbHM77a6tgESPpVJJ9hweCLWgiIlLqtGOTiAg88uJ2dh/s1+gKEQGgvTXFwPAI67p68/7aKljEiC6URUTCmldfg5n6YREpXe7O3U9t4uyZ03jnuU2h44hIDLS3NgCwOsA6FipYxIi2NhURCau6oozZ06tVsBCRkvXcll6e797P7Ve1ktBWpiIC1CcruWB2HasCrGOhgkWMaO60iEh4Wk9IRErZPU93UlddzocWN4eOIiIx0t6a4tnNPQwNj+T1dVWwiJEZNRXMqKlQwUJEJCDt2CQipWrH/j4efXE7f7CkhWlV5aHjiEiMdLSlODIwzEvbDuT1ddUTxcz8xiQPPreVrn1HWdhSz6J0PQtb6qlPVoaOJiJSEtKpJDsP9NM3OEx1RVnoOCIiefPNFZ0Mu/PRK1pDRxGRmOloSwGwunMfl7XU5+11VbCImf/xgYv4/ppu1nX18qXXXsM90942c9pxBYwLZk+nslwDZEREptroekL/+ORGOtoauWBOHTNrqwKnEhHJrb7BYb69cgvLLpxFujEZOo6IxMys6dXMb0yyctM+/ujtZ+ftdVWwiJn21hTtrZnq1aH+IV7o7mXtll7WdfXy6417+OHarQBUlie4ZO50FqUbWNiSKWI0N9RgpsWRRETOxOJ0A/Pqa/jSzzcCGwGYWVvFhXPquGB2HefPns4Fs+s456xajcAQkaLx8Lqt9BwZ5GPaylRETqC9NcUTL+9kZMTztiivChYxVltVzpVvmcmVb5kJZLaZ2tp7lHVdvayLihj3r9jMv/x6E5C5oM4ehbGgeQZ11RUh34KISMFJNyZ56tPXsPdQP6/uOMjLOw7yyvYDvLLjIPc9s5n+ocxiU2UJ4+yZ07hgTqaAkSloTGfOjGoVj0WkoGS2Mu3kgtl1XHF2Y+g4IhJTt1/Zyn9YNA/P42uqYFFAzIzmhiTNDUk+sGAuAIPDI7yy/SDrunpYGxUy/u3lndH5cO5ZtVERIzMS47xZdZRpiyoRkVNqrK3iynOquPKcmcfahoZH6Nx7hFd3HOSVHQd4eftB1m7p4UfPbzt2Tl11ORfOns4FUQHjgjl1nD+rTgvYiUhsrXh9H6/sOMhff+hSFVxF5IQumTcj76+pq6cCV1GW4NLmGVzaPINbr8i07T8yyLruTPFibVcPP9uwk++u6QYgWVnGpfNmHCtgLErXM2t6dcB3ICJSOMrLEpxzVi3nnFXL7y6Yc6z9QN8gvxkzGuPB57ZyqH/zsXPmNya5YHZUxJhdxwVzppNOJVVEFpHg7n5qEw3JCq5fOC90FBGR46hgUYRmJCt453lNvPO8JiAzzG/z3iOs6+pl7ZYe1nX18i+/fp3B4cxgnjkzqo9NI1nY0sCl82ZQU6l52SIiEzW9uoIlrSmWRGsQAYyMZKbxvZJVxHh5xwEe37CTkWgsZU1FGefNruPC2XXHihgXzK7TzlAikjdd+47w+Ms7+fg736J1eUQkdlSwKAFmRuvMabTOnMYNizKV877BYTZsP3BsQc91XT088uIOIDMv+4LZdccW81yUrufsmbVTsrCKuzM84gyNjP0+kvk+fHz78Njjxz1u5Nj5ftxrjPO6Y2ZajT1nvHlYPt4TnfQ53nz+KZ5CCkhFWYIPXjY3dAwpIImE0ZJK0pJK8p6LZh1rPzowzGu7DvLK9kwB45XtB3nspR08sLrr2Dmzp1cfm1IyujbG2U3TqCib/O5Q2f3uwHCm3xwaHmFwJPo+7AxG7YMjxx8fHBphaCRzzrHv0fmDwyMMZT3H8MgbHV52f5jdD47tEo8/Nv6Jx/fv4z/vm8879Z+LFKbfuXgWS7XGwpS69+lOEmbcesX80FFERN5EBYsSVV1RxuJ0A4vTDcfa9hzqP7aY57quXpav28a3Vm4BMnOyz59VR8LsWPFg2N8oMIxbfBhxhoezig9+/AWtSCGZXl2ugoVMiZrKMhY017Og+Y09zN2dXQf7jx+Nsf0AT23cc2w0XEWZ8ZamWqbXVDAUFQveKDa8UVQYGs4qTERFhnxIGMfNfc8ucWdPiTfGFL9t3JsnfIyd4PzMsfFfX4rH2U3TghYszOx9wP8GyoB/dvcvjjn+KeCPgCFgN/Af3X1zdCwN/DPQQqbG9n537zSzbwFLgEFgFfCf3H3QzK4GHgY2RU//oLt/firfz+H+If51TRfXXjKbOTNqpvKpRUSmRGwLFqf6hSBTb2ZtFcsumsWy6JPAkRHnt7sPZRbz7Opl465DJAyS5eWUJYzyhGW+lxlliQRlBmWJRKa9LOt4wt5oH71f9ub2suPON8oTiXHOH9MefSXGLBA13npRb76wPdUZbz7nZBfH4z/D+Fmk8Iz9GROZSmbGrOnVzJpefWw6H8DA0Aiv7zl0bDTGqzsOcmRgmGRlOeVlmf6woswoL8t8r0gkKC8zKsoyfWt5WYLK6Hj5mOMV0ePfuD/2nNHnf+M1yhN23P2KrAxaqE+KnZmVAV8B3gN0A6vNbLm7b8g6bS2wxN2PmNnHgb8B/iA6dh/wl+7+uJnVAiNR+7eAW6Lb3yZT8Pin6P6v3P0DuXpPuw7285amWj52VVuuXkJE5IzEsmAxwV8IkmOJhHHurDrOnVXHh5e0hI4jInmmwnF4leWJaJHO6dyAFsMTCawD2OjurwOY2QPA9cCx61N3fzLr/BVEhQgzuwgod/fHo/MOZT3mkdHbZrYKaM7hezhO28xpPPSJq/L1ciIikzb5ybD5cewXgrsPAKO/EEREJA+yCsfXAhcBN0cX3CIipWoe0JV1vztqO5E7gEej2+cBvWb2oJmtNbO7on72GDOrAG4FfprVfIWZPW9mj5rZxWf+FkRECktcCxaT/YUgIiJTS4VjEZHTZGa3kFmX4q6oqRx4O/CnQDtwNnD7mIf9I/BLd/9VdP85YL67Xwb8A/DQCV7rTjNbY2Zrdu/ePaXvQ0QktLgWLE5JnbOISE5NqHCsvlhESshWMgtmjmqO2o5jZsuAzwDXuXt/1NwNrIuKwENkig+Lsx7zOaAJ+NRom7sfGJ06Ek0bqTCzmWNfz92/5u5L3H1JU1PT2MMiIgUtrgWLU/5CUOcsIhKe+mIRKSGrgXPNrM3MKoGbgOXZJ5jZIuCrZIoVu8Y8tt7MRjvKa4jWvjCzPwJ+B7jZ3Ueynmu2RavZmlkHmev2vTl5ZyIiMRXXgsUpfyGIiEhOTeiTRBGRUhGNjPgk8BjwMvBdd3/JzD5vZtdFp90F1ALfM7N1ZrY8euwwmekgT5jZi2Q2Fvt69Jj/A8wCnoke89mo/UZgvZk9D3wJuMndtT+8iJSUWO4S4u5DZjb6C6EM+Ia7vxQ4lohIKTlWOCZTqLgJ+MOwkUREwoqmZjwypu2zWbeXneSxjwMLxmkf93rc3b8MfPm0w4qIFIFYFixg/F8IIiKSHyoci4iIiEhosS1YiIhIWCoci4iIiEhIcV3DQkRERERERERKmAoWIiIiIiIiIhI7KliIiIiIiIiISOyoYCEiIiIiIiIisaOChYiIiIiIiIjEjrl76AxnzMx2A5tP46EzgT1THGcqKNfkxTWbck1eXLOdbq757t401WHi6DT74mL7+86HuGaLay6IbzblmrzTyaZ++NTi+neuXJMX12zKNXlxzZbXa+KiKFicLjNb4+5LQucYS7kmL67ZlGvy4potrrkKXVz/XOOaC+KbLa65IL7ZlGvy4pytkMX1z1W5Ji+u2ZRr8uKaLd+5NCVERERERERERGJHBQsRERERERERiZ1SL1h8LXSAE1CuyYtrNuWavLhmi2uuQhfXP9e45oL4ZotrLohvNuWavDhnK2Rx/XNVrsmLazblmry4ZstrrpJew0JERERERERE4qnUR1iIiIiIiIiISAwVfcHCzN5nZq+a2UYz+/Q4xz9lZhvM7AUze8LM5sclW9Z5HzIzN7O8rMY6kVxm9uHoz+0lM/t2HHKZWdrMnjSztdHf5/vzlOsbZrbLzNaf4LiZ2Zei3C+Y2eJ85Jpgto9EmV40s6fN7LI45Mo6r93MhszsxrjkMrOrzWxd9LP/7/nIVQzi2hfHtR+eaDb1xce9biz74rj2wxPJlnWe+uIiENd+eCLZss7TNfEEcqkfPq1suiaeZK689cPuXrRfQBnwW+BsoBJ4HrhozDnvApLR7Y8D/xqXbNF5dcAvgRXAkjjkAs4F1gIN0f2zYpLra8DHo9sXAZ15+rt8B7AYWH+C4+8HHgUMuBxYmY9cE8x2Zdbf47X5ynaqXFl/5z8HHgFujEMuoB7YAKSj+zn/2S+Gr7j2xXHthyfxZ6a++PjXjWVfHNd+eCLZsv7O1RcX+Fdc++GJZovO0zXxxHOpH558Nl0TT+7PK2/9cLGPsOgANrr76+4+ADwAXJ99grs/6e5HorsrgOa4ZIt8AfhroC9Guf4Y+Iq79wC4+66Y5HJgenR7BrAtD7lw918C+05yyvXAfZ6xAqg3szlxyObuT4/+PZLHn/8J/JkB/BfgB0A+fr6ACeX6Q+BBd98SnZ+3bAUurn1xXPvhiWZTX5z9ojHti+PaD0evrb64dMS1H55QtoiuiSeeS/3wJLPpmvh4ceqHi71gMQ/oyrrfHbWdyB1kqn75cMps0TCpFnf/SZ4yTSgXcB5wnpk9ZWYrzOx9Mcn1F8AtZtZNpgL5X/KQayIm+3MYSj5//k/KzOYBvwf8U+gsY5wHNJjZL8zsWTP7aOhABSKufXFc+2FQX5wLhdAXx6YfBvXFRSau/TDEty9WPzz1CqEfhhj1xeqHoTxXT1xozOwWYAnwztBZAMwsAfx/wO2Bo4ynnMwQuKvJVB9/aWaXuntv0FRwM3CPu/8vM7sC+KaZXeLuI4FzxZ6ZvYtM5/y20Fkifw/8ubuPmFnoLNnKgbcC7wZqgGfMbIW7/yZsrOIRp7445v0wqC8uKjHsh0F9cUmKUz8Mse+L1Q8XmRj2xSXfDxd7wWIr0JJ1vzlqO46ZLQM+A7zT3ftjkq0OuAT4RfTDORtYbmbXufuagLkgUw1d6e6DwCYz+w2Zznp14Fx3AO8DcPdnzKwamEkeh0+dwIR+DkMxswXAPwPXuvve0HkiS4AHop/9mcD7zWzI3R8KG4tuYK+7HwYOm9kvgcsAXSSfXFz74rj2wxPJBuqLJyu2fXFM+2FQX1xM4toPTySbroknn0v98GmIaV9c8v1wsU8JWQ2ca2ZtZlYJ3AQszz7BzBYBXwWuy/McyJNmc/f97j7T3VvdvZXMXKp8XCSf8s8MeIhMJRkzm0lmSNDrMci1hUyVDzO7EKgGduc410QsBz4arYx8ObDf3beHDgWZVaSBB4Fb4/TJlLu3Zf3sfx/4kxh0zAAPA28zs3IzSwJLgZcDZyoEce2L49oPnzJbRH3x5MSyL45rPwzqi4tMXPvhU2bTNfFp5VI/PElx7YvVDxf5CAt3HzKzTwKPkVld9Rvu/pKZfR5Y4+7LgbuAWuB7UeVqi7tfF5NseTfBXI8B7zWzDcAw8Ge5rkJOMNd/A75uZv83mcWGbnfPLFubS2b2HTK/rGZaZq7g54CKKPf/ITN38P3ARuAI8LFcZ5pEts8CjcA/Rj//Q+6e863CJpAriFPlcveXzeynwAvACPDP7n7Sbagkvn1xXPvhSWRTX5wlrn1xXPvhCWYLQn3x1ItrPzyJbHmnfnjy4toPTzCbroknkSuf/bDl4WdXRERERERERGRSin1KiIiIiIiIiIgUIBUsRERERERERCR2VLAQERERERERkdhRwUJEREREREREYkcFCxERERERERGJHRUspOiZ2Q1m5mZ2QXS/1cxOuu3ORM4REZGJUT8sIhKe+mIpRCpYSCm4Gfh19F1ERPJP/bCISHjqi6XgqGAhRc3MaoG3AXcAN41z/HYze9jMfmFmr5nZ57IOl5nZ183sJTP7mZnVRI/5YzNbbWbPm9kPzCyZn3cjIlJ41A+LiISnvlgKlQoWUuyuB37q7r8B9prZW8c5pwP4ELAA+H0zWxK1nwt8xd0vBnqjcwAedPd2d78MeJlMxy8iIuNTPywiEp76YilIKlhIsbsZeCC6/QDjD4F73N33uvtR4EEy1WeATe6+Lrr9LNAa3b7EzH5lZi8CHwEuzklyEZHioH5YRCQ89cVSkMpDBxDJFTNLAdcAl5qZA2WAA18Zc6qf4H5/VtswUBPdvge4wd2fN7PbgaunLrWISPFQPywiEp76YilkGmEhxexG4JvuPt/dW929BdgEtIw57z1mlorm490APHWK560DtptZBZlqsoiIjE/9sIhIeOqLpWCpYCHF7Gbgh2PafgD89zFtq6L2F4AfuPuaUzzv/wBWkunEX5mCnCIixUr9sIhIeOqLpWCZ+9iRPyKlIxq+tsTdPxk6i4hIKVI/LCISnvpiiSuNsBARERERERGR2NEICxERERERERGJHY2wEBEREREREZHYUcFCRERERERERGJHBQsRERERERERiR0VLEREREREREQkdlSwEBEREREREZHYUcFCRERERERERGJHBQsRERERERERiR0VLEREREREREQkdlSwEBEREREREZHYUcFCRERERERERGJHBQsRERERERERiR0VLEREREREREQkdlSwEBEREREREZHYUcFCRERERERERGJHBQsRERERERERiR0VLEREREREREQkdlSwEBEREREREZHYUcFCRERERERERGJHBQuR02RmvzCzP4pu325mvw6dSUREREREpFioYCEiIiIiIiIisaOChRQ9MysPnUFERDLMrNPMjprZoayvuSc5/2tm9qqZjZjZ7XmMKiJSNE6j711oZs+a2ZHo+8KsY39hZoNjnuvs/LwTKTUqWEhRijrlPzezF4DDZvY2M3vazHrN7Hkzuzrr3JSZ3W1m28ysx8weitobzOzHZrY7av+xmTWHek8iIkXkg+5em/W17STnPg/8CfBcnrKJiBSrCfW9ZlYJPAzcDzQA9wIPR+2j/nXMc72e+/hSilSwkGJ2M/C7wNlkOt3/CaSAPwV+YGZN0XnfBJLAxcBZwN9F7QngbmA+kAaOAl/OV3gREQF3/4q7PwH0hc4iIlIirgbKgb939353/xJgwDVBU0lJUsFCitmX3L0LuAV4xN0fcfcRd38cWAO838zmANcC/9nde9x90N3/HcDd97r7D9z9iLsfBP4SeGeoNyMiIiIikgcXAy+4u2e1vRC1j/qgme0zs5fM7OP5jSelRAULKWZd0ff5wO9H00F6zawXeBswB2gB9rl7z9gHm1nSzL5qZpvN7ADwS6DezMry9QZERIrUQ1l98kOhw4iIlIiJ9r21wP4xbfuBuuj2d4ELgSbgj4HPmtnNU55WhMxQH5FiNVoV7gK+6e5/PPaEaIRFyszq3b13zOH/BpwPLHX3HdFiQ2vJDIkTEZHTd4O7/1voECIiJWaife8hYPqYtunAQQB335DV/rSZ/W/gRuA7U5JSJItGWEgpuJ/MsLXfMbMyM6s2s6vNrNndtwOPAv8YLbJZYWbviB5XR2bdil4zSwGfC5RfRERERCRfXgIWmFn2h3QLovbxOPpAT3JEBQspetE6FtcD/w+wm8yIiz/jjZ//W4FB4BVgF/B/Re1/D9QAe4AVwE/zl1pERCCzWr2ZVZO5GK6Iis66fhERyZ1fAMPAfzWzKjP7ZNT+cwAzuz76oM/MrAP4r2QWuBeZcnb8WioiIiIiuWNmncAfTXRKiJn9gjcvePwud//F1CYTESlep9H3LgL+GbgIeBm4w93XRse+A7wXqAK6gX+MdhIRmXIqWIiIiIiIiIhI7GhIpYiIiIiIiIjEjgoWIiIiEoyZfcTMDo3zdaLF3URE5Ayp75VCoSkhIiIiIiIiIhI75aEDTIWZM2d6a2tr6BgiIm/y7LPP7nH3ptA58kF9sYjEkfphEZHwTrcvLoqCRWtrK2vWrAkdQ0TkTcxsc+gM+aK+WETiSP2wiEh4p9sXaw0LEREREREREYkdFSxEREREREREJHZUsBARERERmQAze5+ZvWpmG83s0+Mc/5SZbTCzF8zsCTObn3Xsp2bWa2Y/HvOYX5nZuuhrm5k9FLVfbWb7s459NvfvUEQkXopiDQsRiYfBwUG6u7vp6+sLHSXvqquraW5upqKiInQUEZEJKbY+O9f9sJmVAV8B3gN0A6vNbLm7b8g6bS2wxN2PmNnHgb8B/iA6dheQBP5T9vO6+9uzXuMHwMNZh3/l7h+Y8jcjInlVbP3tyUx1X6yChYhMme7uburq6mhtbcXMQsfJG3dn7969dHd309bWFjqOiMiEFFOfnad+uAPY6O6vA5jZA8D1wLGChbs/mXX+CuCWrGNPmNnVJ3pyM5sOXAN8bGpji0hoxdTfnkwu+mJNCRGRKdPX10djY2NRd8TjMTMaGxtLomouIsWjmPrsPPXD84CurPvdUduJ3AE8OonnvwF4wt0PZLVdYWbPm9mjZnbxeA8yszvNbI2Zrdm9e/ckXk5E8qWY+tuTyUVfrIKFiEypYu+IT6RU37eIFLZi6rvi9F7M7BZgCZlpIBN1M/CdrPvPAfPd/TLgH4CHxnuQu3/N3Ze4+5KmpqbTjSwiORanPiqXpvp9qmAhIiIiInJqW4GWrPvNUdtxzGwZ8BngOnfvn8gTm9lMMlNOfjLa5u4H3P1QdPsRoCI6T0SkZKhgISJyCvfccw+f/OQnAfiLv/gL/vZv/zZwIhGR4lBWVsbChQuPfXV2do573t69e3nXu95FbW3tsf44gNXAuWbWZmaVwE3A8uwTzGwR8FUyxYpdk3juG4Efu/uxcdRmNtuijyrNrIPMdfveM3wPIlKiJtrfAvzVX/0V55xzDueffz6PPfbYsfbW1lYuvfRSFi5cyJIlS/KQWotuikgRc3fcnURCtVkRkTiqqalh3bp1pzyvurqaL3zhC6xfv57169fnIdmbufuQmX0SeAwoA77h7i+Z2eeBNe6+nMwUkFrge1GtYYu7XweZ7UuBC4BaM+sG7nD30f8J3AR8ccxL3gh83MyGgKPATe7uuX2XIlKsJtrfbtiwgQceeICXXnqJbdu2sWzZMn7zm99QVlYGwJNPPsnMmfkb7KWreBEpKp2dnZx//vl89KMf5ZJLLuELX/gC7e3tLFiwgM997nPHzrvvvvtYsGABl112GbfeeisAP/rRj1i6dCmLFi1i2bJl7Ny5M9TbEBGRLNOmTeNtb3sb1dXVQXO4+yPufp67v8Xd/zJq+2xUrMDdl7n7LHdfGH1dl/XYt7t7k7vXuHtzVrECd7/a3X865rW+7O4Xu/tl7n65uz+dr/cpIqXr4Ycf5qabbqKqqoq2tjbOOeccVq1aFSyPRliISE78vz96iQ3bDpz6xEm4aO50PvfBcRdJP85rr73Gvffey//P3n3HR1XlfRz/nPSeQHqhBBIICZAGSBVFqgoIiAV1V1fXXlbU3fXxWddtz6591VUX+6690CIioAgCAiKk0UIvySQkISG9zsx5/sjIRhYlQJI75fd+veZF5t47N9/hBTc3vznnd2pqavjkk0/YsmULWmtmzJjBunXrCA0N5c9//jMbN24kLCyMyspKAMaOHcvmzZtRSvHaa6/xxBNP8PTTT3fqexBCCHtk1DW7sbGRtLQ0AOLj41m8eHGnZhBCCHtj79dbk8nEyJEjTz6Pi4vDZGpr16OUYvLkySiluO2227j11ls76R38OClYCOFCymubeXvzEdbvK+d/LxtEZp+eRkfqEn369GHkyJE8+OCDrFq1ivT0dADq6urYt28feXl5zJ079+Rwtp492/4eioqKuPrqqykpKaGlpaXT1o8WQgirVXPweB35RdXkF1Wz3VTNBfE9+fXUJKOjGaqjQ5SFEI6nscXCF7tLyco1cbiiAdzJkgMAACAASURBVF9Pd3y93PGzPXw9PfD1csPPywNfz3bb2z3/wfFeHvjZzuHt4eYyq250ls643m7YsIHY2FjKysqYNGkSSUlJXHjhhZ2U8PSkYCGEC9hzrJbXNxxkSU4xLRYrIX6eXPvqtzw9N5XpqTFd8j07MhKiq/j7+wNtPSwefvhhbrvtth/sf+GFF077unvuuYf58+czY8YM1q5dy2OPPdbVUYUQTkhrTdGJRltxooq8oip2mGqoazYD4OflTnSwDy+tPUDfMH+uGtbrDGfsekZes4UQzsNssfLNgQqW5phYufMY9S0WooJ8SO8dQlOrhYYWC5X1LRSdsNDYYqGhxUxjq4WmVutZfR83ha0A4nGyoOHjefrihq+X+8mv/WzHf18IiQ72JSEioIv+Nk7P3q+3sbGxFBYWnnxeVFREbGzsyX0AERERzJo1iy1btkjBQghxbrTWrNt3nNfWH2T9vuP4eLpx1fA4bhoTTw8/L27991bueT+Ho5UN3HlRf6esUk+ZMoXf/e53XHfddQQEBGAymfD09GTChAnMmjWL+fPnExoaSmVlJT179qS6uvrkhfhf//qXwemFEI6irLaJ/MLvixNtoycq61sA8HJ3Y1B0ILPSYxkaF8zQuBASIgLQWnPjm9/xv0t2kBQVyNC4EIPfhRBCnButNXlF1SzJMbEsv4Tjdc0E+ngwPTWGGWkxXBAfirvbT99nWq2aRltBo7HFQkOr+eTXbc8tNLa0bTt5TIuFxlZzu6/b/jzR0Hry2O9fa7Gevl+tUvDmjcO5aGBEV/zVOKQZM2Ywb9485s+fT3FxMfv27WPEiBHU19djtVoJDAykvr6eVatW8eijj3Z5HilYCOFkmlotLMkx8fqGQ+wrqyMi0JuHpgxk3oje9PD3OnncO7dcwK8/yefJlXs4WtHAn2cNxtPdufrwTp48md27dzNq1CgAAgICeOedd0hJSeGRRx5h/PjxuLu7k56ezltvvcVjjz3G3Llz6dGjBxMmTODQoUMGvwMhhL2pbmxle1E1eUVV5BdVkV9UTUl120qUbgoSIwK5JCmCob1CSI0LZmBUIN4e7qc5k+L5a9OZ/sIGbn97G1n3jCUswLt734yD6du3LzU1NbS0tLBkyRJWrVpFcnKy0bGEcFkHy+tYmlvMUtuUDy8PNy5JimBmWiwXJ4X/yLXv9NzcFP7eHvh7d82vpy1m638VQhpaLDz0SR5/+7yAcYnhZyyquIqUlBSuuuoqkpOT8fDw4MUXX8Td3Z3S0lJmzZoFgNlsZt68eUydOrXL8yhnWB1p2LBheuvWrUbHEMJQx+uaeXvTEd7ZfISK+hYGRQfxy3HxXD40Bi+P0xcirFbNs1/u5YWv9jM2IYyXrs8gyMfznDPs3r2bQYMGnfPrHd3p3r9SapvWunsWqjaYXIuFs2loMbOzuIa8wqqT0zsOVzSc3N831I+hcSEMjQsmtVcIKTFB+Hmd3c32DlM1c17eSEbvHrx98wg8urFw7IzXbLkOy3VYdK2y2iY+zSthaa6J/KJqlIJR/UK5Ii2WKYOjCPY99/tIIyzLL+bu93J48sqhzO3C6XnOeL39KZ15LZYRFkI4uL2ltby+/hCLc020mK1ckhTBzePiGdUv9IzTPNzcFA9MHkivnn78z6LtzHlpI2/eNJy4Hn7dlF4IIexDi9lKwbGak4WJ/KJq9pbW8v0o4qggH4bGBTN3WK+2qR2xIQT7nf+N+eDYYP5v1hAe+DiPx1cU8MhlMmJACGFfaptaWbmzlKW5Jr7ZfxyrhpSYIB65dBDTU2OICjZ2ueHzcdmQaF6NO8jTq/YyPTUGH8+OjwoR3UMKFkI4IK016/cd57UNh1i3txwfTzfmZsbxi7Hx9A8/+8ZBVw3rRVyIL7e9s40rXtzI6z8fRmovmU8thHBOFqvmQHndD0ZO7C6ppcXS1vSth58nQ+NCmJwceXIERURQ192Qz8mMI7+oilfXH2JIXAgzuqgZsiNYuXIlv/nNb36wTZY7FaL7tZitfL23nCW5Jr7cVUqz2Uqvnr7ceVECV6THkBARaHTETqGU4uFLB3HNK5t545tD3HlRgtGRuo2jXG+lYCGEA2lqtbA0t60/xd7SOsJ/pD/FuRidEMaiO0Zz01vfcfUrm/j71elMHRx11ufRWjtlA88zcYbpdUI4I601Rysb2pph2ppi7jRVU99iAcDfy53BscHcOKZv29SOuBDievh2+3XskcuS2VVSw28+yWdAZABJUUHd+v3txZQpU5gyZYrRMYRwSVarZuuREyzJNbF8ewlVDa309Pfi6uG9mJkWS0bvEKe8xxvZL5SJgyJ4ec0Brhnem57neU/tKBzleisFCyEcwPG6Zt7ZfIS3N/2nP8XTc1O5PDX6rBoanUliZCCL7xzDLf/eyh3vbuORSwdx89j4Dv9w8vHxoaKigtDQM09HcSZaayoqKvDxcdwhkUI4m6ZWC29vOsKCdQc5XtcMgJeHG8nRQVyZGcfQuBBSewUTHxZgF43WvDzcePG6DC5/fgO3vb2NrLvGdsqUkzNxpiKzFI6FODcFx2pYklPMp3nFmKoa8fV0Z3JKJFekxTI2MczpmrKfzm+mJjHl7+t44at9XbbsqDNdb39KZ1+LpWAhhB3bW1rLGxsOsSinrT/FhKQIbhkbz6j+XVcQCA/05oNfjmT+R7n8+bPdHKlo4PfTkzvUCC4uLo6ioiLKy8u7JJs98/HxIS4uzugYQrg8s8XKwuwi/v7lPkqqmxiXGMbUwYmkxoUwIDLwR5sQ24OIQB9evj6Ta17ZxK8+zOH1nw/HrQuLKc5UZJbCsRBnx1TVSJZthY+CY7W4uynGJYbx0JSBTEqO7LLVOuxVYmQgVw3rxTubj3DT6Hh6h3ZuPzdnut7+lK64FrvWv0QhHMD3/Sle33CIr/eW4+3hxpWZcfxiTDwJEWffn+Jc+Hq58+K8DB5fUcCCdQcpOtHAC/MyCDjDDy9PT0/i4+O7JaMQQrSntWblzmM8uXIPB8rrSesVwtNXpTK6f5jR0c5KZp8e/H56Cv+7ZAd//3Iv8ycP7LLv5WxFZikcC/HTqhpaWL79GEtyTWw5VAlAeu8Q/jAjhcuGRrv80sr3TxrAklwTT67awwvXpnfquZ3tevtTOvtaLAULIexEU6uFrNxiXt9wiD2ltYQHevPg5AHMu6CPIXPp3NzamhD1DvXj0aU7mfvPTbxx4zCig327PYsQQvyUjfuP8/jKPeQVVpEQEcA/r89kSkqkw36Kdd0FvckrrOL5r/YzJC6EScmRXfJ9pMgshPNrarWwencZS3JNrN1TRqtF0y/cn/mTBjAzLYY+of5GR7QbkUE+/HJcP174aj+3jI3v1Ab0cr09d1KwEMJgFXXNvLP5KG9vPszxuhaSogJ5am4q0zu5P8W5uu6CPsT18OOud7O54sVveP3nwxkcG2x0LCGEYHtRNU+sLGD9vuPEBPvwxJVDmZ0e26EpbPZMKcWfrhjMntJa5n+Yy5K7x5zTClBCCNdksWo2HahgSa6JFTuOUddsJiLQm5+P6ssV6bGkxAQ5bEG3q916YT/e+/Yo/7d8Nx/cOlL+nuyAFCyEMMi+0lre+OYQC7Pb+lNcPDCcW8b1Y3QX9qc4V+MHhPPx7aP4xVvfcdWCTfxjXjoTkrrmEz8hhDiTg+V1PP3FXj7LL6GHnyf/e9kgrh/ZBx9P44u8ncXH052Xr89k+gttTTiX3DXmjNPyhBCubc+xWj78rpBP84spr20m0NuDaYOjuCI9lpH9Qu2iwbC9C/Tx5L6JiTy6dCdr9pTJ/a4dkJ98QnQjrTUb9h/ntfX/6U8xJyOOm8f2tfv1rAdFB7HkrjH84q3vuOVfW3lsRgo/G9XX6FhCCBdSWtPEc6v38eF3hXh7uHHvhARuubAfQT5dv5qGEWJDfPnHvHSuf+1bHvo4j5euy7C7grYQwj6U1zYz4x8b0BouGhjOFemxTEiKcKpCbne5dkRv3vzmMH/7vIDxAyKk0GMwKVgI0Q2azRaW5hbzxoZDFByrJSzAmwcmDeC6kcb0pzhXkUE+fHTbKO77IIdHl+7kSEUD/3PpILmQCyG6VHVDKy9/fYC3Nh7CYtVcf0Fv7p6QSHig8zeIG90/jIenDeIvy3fzz68PcsdF/Y2OJISwQ5/lF9NstvL5feMYFB1kdByH5unuxkNTBnLnu9ks3FbEVcN7GR3JpUnBQoguVFHXzLvfHuXfm45wvK6ZpKhAnrxyKDPSYuyiP8W58Pf2YMENw/jTsl28vuEQRysbeO6aNPy85HIihOhcjS0W3tp4mJfX7qe22czM1BjmTxrY6cvN2btbxsWTb6rmyZUFDI4NYlxiuNGRhBB2ZmleMUlRgVKs6CTTBke1rTb1xR6mp8bg6+WY9+3OQH7DEKILNLSYefaLvfx70xGabf0pbh7bjzEJ9tef4ly4uykem5FCn1A//rRsF9e8spnXfj6MiMDOW3NZCOG6Wi1WPtpayHNf7qOstpkJSRE8OHkgyTGueSOulOLxOUPYe6yWe97P4dO7x9Krp2sVbYQQP66wsoGco1X8ZmqS0VGchlKK/7l0EFct2MQb3xzirosTjI7kshy7jbYQdmjd3nImP7uOV9cfYnpqDF/Ov5A3bxrB2MQwpyhWtHfTmHheuWEY+0rrmPXiRvYcqzU6khDCgVmtmmX5xUx+dh2PLN5Br55+fHTbKN64cbjLFiu+5+flwYIbMrFaNbe9vY3GFovRkYQQdiIrrxiA6anRBidxLiPiezIpOZKX1x6goq7Z6DguSwoWQnSSE/UtPPBRHj97YwteHm58dNsonpqbavfNNM/XxORIPr59FK0WK1e+vJF1e8uNjiSEcDBaa9btLWfGixu4+70cvNzdeO1nw/jk9lGMiO9pdDy70TfMn+euSWf3sRoeWbwdrbXRkYQQdiArt5jMPj2I6yEjrzrbb6Ym0dhq4YWv9hsdxWVJwUKI86S1JiuvmInPfM3SXBN3X5zA8nvHudRN9uDYYJbcNYbYHr7c9NZ3fLDlqNGRhBAOIrewinmvfsvP3tjCifpWnrkqleX3jWNicqTTjUrrDBcnRXD/xAEsyjHxr42HjY4jhDDYnmO17CmtZWZajNFRnFJCRABXD+/FO5uPcPh4vdFxXJL0sBDiPBRXNfK7JTtYXVBGalww79xygcs2O4oJ8eXj20dx13s5/HbRdo5UNvDQ5IG4yQoiQojT2F9Wy1Mr97Ji5zFC/b34/fRk5l3Q22EbEnenuy9OIL+omj9/tpvkmGCXKpALIX4oK8+Eu5vi0iEyHaSr/OqSRBZnm3hy5R5evC7D6DguR0ZYCHEOrFbN25sOM/nZdWw8UMH/XjaIRXeOcdlixfcCfTx54+fDmHdBb15ee4B73s+hqVXmWQsh/qO4qpFff5LH5GfXsX5fOb+amMjXv76Ym8bES7Gig9zcFM9cnUrvnn7c+W42x6qbjI4khDDA96N8R/cPJSzA+Zd5NkpEkA+/vLAfn20vIefoCaPjuBwpWAhxlvaX1TJ3wSZ+t3Qn6b1DWHX/hdwyrh/uMpIAAA93N/5yxWD+59IkPttewrxXN0ujIiEEJ+pb+Mtnu7joqbUsySnmxtHxrPv1xfxq4gACvGXA59kK8vFkwQ2ZNLaYuePdbTSbpTgshKvJKayisLKRmWmxRkdxerde2I+wAC/++nmB9A/qZlKwEKKDWsxWnvtyH5c+t4ED5XU8PTeVf/9ihCwtdxpKKW69sD8vX5fBzuIaZr20kf1ldUbHEkIYoL7ZzAur93HhE2t4bcMhpg+NYfUD43l0ejKh8ongeUmMDOSpuankHK3iD5/uMjqOEKKbZeUW4+XhxpSUSKOjOL0Abw/umziALYcqWb27zOg4LkU+0hCiA7KPnuC3C/PZW1rHjNQYHp2eLEPvOmDakGiign345b+3Mvulb1hwwzBG9Q81OpYQohu0mK188N1Rnl+9n+N1zUxKjuTByQMZGOXcKyd1t2lDornjov68vPYAqXHBXD28t9GRhBDdwGyxsiy/hAkDIwj08TQ6jku4Zngv3txwiL+tKOCigeF4uMtn/91B/paF+An1zWb+8OlO5ry8kdomM6//fBjPX5suxYqzkN67B4vvHENEkA8/e+NbFm4rMjqSEKILWa2aJTkmLnlmLY8u3Um/MH8W3jGKV382TIoVXeTByQMZlxjG75bsJLewyug4QohusPlgJcfrmmV1kG7k6e7Gr6cmsb+sjo/lfrbbSMFCiB+xdk8Zk59dx1sbD3PDyD6suv9CLhkkQ+7ORa+efiy8fTTD+/bkgY/zeOaLvTL/Twgno7VmTUEZlz6/nl99mEuAtydv3jScD28bSWYfWcWiK7m7KZ6/Jp2IIG/ueGcbx6VvUJdRSk1VSu1RSu1XSv32NPvnK6V2KaXylVKrlVJ92u1boZSqUkotO+U1bymlDimlcm2PNNt2pZR63va98pVSsjyBOCkrz0SAtwcXJ0UYHcWlTEmJJLNPD575Yi8NLWaj47gEKVgIcYrK+hZ+9UEON775Hb5e7nx82yj+OHOwDLc7T8F+nrx10wiuzIzj+dX7uP/DXGkSJ4STOFJRz9ULNnPTW9/R0GLhuWvS+OyesVw8MAKlpCFxd+jh78U/r8+ksr6Fu9/LxmyxGh3J6Sil3IEXgWlAMnCtUir5lMNygGFa66HAJ8AT7fY9CdzwI6d/SGudZnvk2rZNAxJtj1uBlzvnnQhH12y28PmOY0xOicTHU1ZX6k5KKR6elkR5bTOvrz9kdByXIAULIWy01izNNTHxma/5bHsJ916SyGf3jmVYX/lksLN4ebjx5JVDeWjKQJbkFnPDa1s4Ud9idCwhxHn66/ICdpXU8KeZKXw5fzwz02Jxk5WTut3g2GD+OnsImw9W8rfPC4yO44xGAPu11ge11i3AB8DM9gdorddorRtsTzcDce32rQZqz+L7zQT+rdtsBkKUUtHn9Q6EU1i7p5zaJrOsDmKQYX17MiUlkn9+fUBGtHUDKVgIARSdaOCmt77jvg9y6d3Tj2X3jGP+pAF4e0jVurMppbjr4gSeuyaN3MIqZr+8kcPH642O5dA6MET5QqVUtlLKrJS68pR9TyildiqldtuGHivb9rW2c34/RFnGnIrTqmpo4auCMuYOi+OGUX3x8pBbCyPNzojjxtF9eW3DIZbmmoyO42xigcJ2z4ts237MzcDnHTz3X2zTPp5VSn3fKOtsv59wEVl5xYT6ezFGGpkb5tdTk2gyW3l+9T6jozg9uasQLs1i1bz5zSEmP7uOLYcq+f30ZBbeMVoaw3WDmWmxvPvLC6hqaGHWS9+w9XCl0ZEcUgeHKB8FbgTeO+W1o4ExwFBgMDAcGN/ukOvaDVGWNbzEaS3LL6HFYmVORtyZDxbd4pHLBjGib09+szCf3SU1RsdxSUqp64FhtE0DOZOHgSTarsE9gd+c5fe6VSm1VSm1tby8/KyzCsdS12zmy12lXDokWlapMFD/8ACuHdGL9749ysHyOqPjODX5Vy5c1t7SWq7850b+8Okuhvftyar7L+SmMfG4yzDmbjO8b08W3TmGED8v5r32LVl5xUZHckQdGaJ8WGudD5w6qV0DPoAX4A14AqVdH1k4k8U5JhIjAkiJCTI6irDxdHfjH9elE+zryW1vb6OqQabedRIT0Kvd8zjbth9QSk0EHgFmaK3POF5ca11im/bRDLxJ23W9w99Pa/2K1nqY1npYeHh4h9+McExf7DpGs9kqq4PYgfsuGdA23XnlHqOjODUpWAiX02y28OwXe7ns+fUcPl7P369O462bhhPXw8/oaC4pPsyfRXeMJi0uhHvfz+HtzUeMjuRoznnIsNZ6E7AGKLE9Vmqtd7c75E3bdJDffT9V5FTyyZ5rO1JRz7YjJ5iVESvNNe1MRKAPL12XSUl1I/d9kIvFKiszdYLvgESlVLxSygu4Bshqf4BSKh1YQFuxokMj077vS2G7zl4B7LDtygJ+ZlstZCRQrbUu6Zy3IhxVVm4xsSG+ZPTuYXQUlxce6M2tF/bj8x3H2HbkhNFxnJYULIRL2Xakksue38Bzq/dx2ZBovpw/nivS5UbbaD38vXj7lhFckhTBH7J28u3BCqMjuQSlVAIwiLZP7WKBCUqpcbbd12mthwDjbI/TdraXT/Zc2+IcE0rBFdL4zS5l9unBYzNS+HpvOX//cq/RcRye1toM3A2sBHYDH2mtdyql/qiUmmE77EkgAPjYVvA9WdBQSq0HPgYuUUoVKaWm2Ha9q5TaDmwHwoA/27YvBw4C+4FXgTu79h0Ke1dZ38L6fce5PDVaGhvbiV+O60dYgDd/+3w3WkthuCt4GB1AiO5Q12zmyRUF/HvzEaKDfHjzpuFcPFB6CNoTbw93/n5NGjP/8Q13vZfDsnvGEhXsY3QsR9ChIcM/YhawWWtdB6CU+hwYBazXWpsAtNa1Sqn3aBui/O9OSy0cntaaxTkmRsaHEhPia3Qc8SPmjehNfmE1L3y1n8GxwUxJiTI6kkPTWi+nrZDQftuj7b6e+BOvHfcj2yf8yHYN3HVuSYUzWr69BLNVMzNVisT2wt/bg/snJfLI4h18sauUyXKN7XQywkI4va8KSpn8zNf8e/MRfj6qL6vmj5dihZ0K9PFkwQ2ZNLSYuePdbTSbLUZHcgRnHKL8E44C45VSHkopT9oabu62PQ8DsG2/nP8MURYCgOyjVRypaGBWhtw42zOlFH+YmUJqXDAPfJTH/jJpDieEo8rKKyYhIoBB0dIc3p5cPawX/cL9+duKAsyWU9uFifMlBQvhtCrqmrn3/Rx+8dZW/L09+OT20Tw2I4UAbxlYZM8SIwN5am4qOUer+NOyXUbHsXsdGaKslBqulCoC5gILlFI7bS//BDhA2zDkPCBPa/0pbQ04Vyql8oFc2kZsvNqd70vYv8U5RXh7uDFtsHyaZO98PN15+fpMvD3cuO3trdQ1m42OJIQ4S8VVjWw5VMmM1BiZymxnPNzd+O3UJA6W1/Ph1sIzv0CclfMqWCilpiql9iil9iulfnua/RcqpbKVUmal1JWn7HtcKbXD9ri63fZ4pdS3tnN+aPvEUIgO01qzKLuIic98zec7SvjVxEQ+u3ccmX2kOZGjuHRINLeN78c7m4/ysVz4z0hrvVxrPUBr3V9r/Rfbtke11lm2r7/TWsdprf211qFa6xTbdovW+jat9SCtdbLWer5te73WOlNrPVRrnaK1vk9rLcNdxEnNZgvL8kuYkhJFoI+n0XFEB8SE+PKPeRkcrmjgwY/yZK61EA5mWX7bSmozUmV1EHs0KTmS4X178OwX+6iXonCnOueChVLKHXgRmAYkA9cqpZJPOewocCPw3imvvQzIANKAC4AHlVLfr4f2OPCs1joBOAHcfK4ZhesprGzgZ29sYf5HecSH+bP83nH8amLbkkPCsTw0eSBjEkJ5ZMkOdpiqjY4jhGhnTUE5VQ2tMh3EwYzqH8rD05JYsfMYL609YHQcIcRZyMorJjUumL5h/kZHEaehlOLhSwdxvK6ZV9cfNDqOUzmf3+JGAPu11ge11i3AB8DM9gdorQ9rrfOBUyfzJAPrtNZmrXU9kA9MtS3nNIG2YcoA/6JteSchfpLFqnl9wyEmP7uO7CMn+OPMFD65fTSJkTLHz1F5uLvx/DXphPl7cdvb26isbzE6khDCZnFOEWEB3oxLCDM6ijhLN4+NZ3pqDE+t2sO6vbIUsRCO4EB5HTtMNUyX0RV2LaN3D6YNjuKVdQcpr202Oo7TOJ+CRSzQfqx2kW1bR+TRVqDwszV2u5i2LvehQJVtTvZPnlMpdatSaqtSamt5ufzAdWUFx2qY/fJG/rRsFyP79WTV/PH8bFRfWe7JCYQGePPPGzIpt/UjsVhlCLMQRqtqaOGrgjJmpMbg4S6j1xyNUorH5wxhYGQg97yfQ2Flg9GRhBBnkJVbjFJIwcIBPDRlIC1mK8+tlqWkO4shdxpa61W0LQm1EXgf2ASc1fxorfUrWuthWuth4eHhXZBSOIKqhhbmvLSRwsoGnrsmjTduHE6sLK/nVIbGhfDnmYPZsP84T63aY3QcIVzesvwSWi2a2TIdxGH5eXmw4IZMtNbc+vY2GlukRY0Q9kprzad5xYyMDyUySJZ7t3f9wgOYd0Fv3t9SyIFyWZWpM5xPwcJE26iI78XZtnWI1vovWus0rfUkQAF7gQogRCn1/TIOZ3VO4Xo+zSumvsXCv38xgplpsdI12UldNbwX8y7ozctrD7BiR4nRcYRwaYtzTCRGBJASE3Tmg4Xd6hPqz3PXplNwrIaHF+VLE04h7NQOUw0Hj9czI01GVziKey9JxMfDjSdWFBgdxSmcT8HiOyDRtqqHF3ANkNWRFyql3JVSobavhwJDgVW67aflGuD7FUV+Diw9j4zCyX2SbSIpKlBunF3A76cnk9YrhAc+ymN/mVSshTDCkYp6th05wawMKRA7g4sHRjB/4gCW5Bbz1sbDRscRQpxGVp4JT3clS0g7kLAAb24f35+VO0vZerjS6DgO75wLFrY+E3cDK4HdwEda651KqT8qpWYAKKWGK6WKgLnAAqXUTtvLPYH1SqldwCvA9e36VvwGmK+U2k9bT4vXzzWjcG77y+rIK6xiTkac3Di7AG8Pd16+PgMfT3due3srtU2tRkcSwuUszjGhFFyRJtNBnMVdFycwKTmSP3+2m28PVhgdRwjRjtWq+TSvhPEDwgnx8zI6jjgLN4+LJyLQm/9bvltGsJ2n8+phobVerrUeoLXur7X+i23bo1rrLNvX32mt47TW/lrrUK11im17k9Y62fYYqbXObXfOg1rrEVrrBK31XK21tFgVp7Uouwg3BTPTZYicq4gO9uUf8zI4XNHAgx/nyQ8AIbqR1prFOSZG9QslRnoFOQ03N8UzV6XSp6cfN+zyvQAAIABJREFUd72XTUl1o9GRhBA2Ww5XcqymSZptOiA/Lw/unzSA7KNVrNxZanQchybtvYVDsljbbpwvHBBORKA0IHIlo/qH8vC0JFbuLOXlrw8YHUcIl5F99ARHKhqYlS6jK5xNoI8nr/wsk8YWC3e8k02zWZpwCmEPsvKK8fV0Z1JypNFRxDmYmxlHQkQAT6wooNViNTqOw5KChXBImw5UUFLdxJyMOKOjCAPcPDae6akxPLVyD+v3ybLGQnSHRdkmfDzdmDYk2ugoogskRATy9FWp5BZW8VjWzjO/QAjRpVrMVpZvL2FSciR+Xh5nfoGwOx7ubvx2ahIHj9fzwXeFRsdxWFKwEA5pUXYRgT4eUnF2UUopHp8zhMSIQO59P4fCygajIwnh1JrNFpbllzA5OYoAb7lxdlZTB0dz+/j+vL+lUPpZCGGwDfvLqWpoZYZMB3FolwyKYER8T577ci91zeYzv0D8FylYCIdT12zm8x3HuHxoND6e7kbHEQbx8/LgnzdkYrZq7nh3G02tMoRZiK6ypqCc6sZWZmXIdBBn96uJiUQGefPEyj3SJ0gIA2XlFhPs68mFA8KNjiLOg1KK/7l0EMfrWnhl3UGj4zgkKVgIh/P59hIaWy0yHUQQH+bP369OY4ephkcW75CbayG6yOKcIsICvBmXEGZ0FNHFfDzdufeSRLYdOcFXBWVGxxHCJTW2WFi1q5RLh0Th5SG/rjm6tF4hXDY0mlfXHaSspsnoOA5H/gcIh7Mo20TfUD8y+/QwOoqwA5cMiuS+SxJZmF3EO98eNTqOEE6nqqGFrwrKmJkWg4e73Da4gquG9aJvqB9PrtyD1SqFYCG625e7S2loscjqIE7kockDabVYefbLfUZHcThy5yEcStGJBjYdrGB2RhxKKaPjCDtx3yWJXDwwnD9+upNtR04YHUcIp/JpfgmtFi2rg7gQT3c37p80gIJjtXyaX2x0HCFcTlZeMZFB3lwQH2p0FNFJ+ob5c/3IPny0tZD9ZbVGx3EoUrAQDmVxtglAbpzFD7i5Kf5+dTrRwb7c+e42ympluJ0QnWVxdhEDIgNIiQkyOoroRtOHxjAoOohnvtgry/EJ0Y2qG1r5ek85lw+Nwd1NPpxzJvdMSMDX053HV+wxOopDkYKFcBhaaxblmLggvie9evoZHUfYmWA/TxbckEl1Yyt3v5sjN9hCdILDx+vJPlrFrHQZ1eZq3NwUD00ZwJGKBj7aKsvxCdFdVuwsocVildVBnFBogDd3XNSfL3aVsuVQpdFxHIYULITDyD5axaHj9czJlGab4vQGRQfx+JyhbDlcyf8t3210HCEc3uIcE0rBFely4+yKLh4YQWafHjy/ep+sxCREN8nKK6ZvqB9D44KNjiK6wC/GxBMZ5M3/Ld8tzeI7SAoWwmEszC7Cx9ONaYOjjI4i7NjMtFh+MSaeN785zJIck9FxhHBYWmuW5JoY1S+U6GBfo+MIAyil+PWUgZTWNPOvjYeNjiOE0yuraWLTgQpmpMbIqDYn5evlzgOTBpJbWMXnO44ZHcchSMFCOISmVgvL8oqZmhJFoI+n0XGEnXv40iRGxPfkt4vy2VVcY3QcIRxS9tETHKlokJ5BLu6CfqGMHxDOy18foKap1eg4Qji1ZfklWDXMSJNRbc5sTmYcAyIDeGJFgUxh7gApWAiHsHp3GTVNZpkOIjrE092Nf8xLJ9jXk9vf2UZ1g9xkC3G2FmWb2ka1DYk2Ooow2ENTBlLV0Mqr6w4aHUUIp5aVV0xydBAJEYFGRxFdyN1N8dtpSRyuaOD9LUeNjmP3pGAhHMLC7CKignwY3T/M6CjCQUQE+vDSdZmUVDdy34c5WK0yT1CIjmo2W1iWX8KUlCgCvD2MjiMMNjg2mMuGRvP6hkOU1zYbHUcIp3S0ooHcwioZXeEiLh4Ywch+PXnuy33Uyui1nyQFC2H3ymub+XpvOVekx8ryTuKsZPbpwe+np7B2Tzl/X73P6DhCOIw1BWVUN7bKdBBx0gOTBtBstvLimv1GRxHCKWXltfXdmi6rg7gEpRQPTxtERX0Lr8jotZ8kBQth95bmmrBYNVdmyo2zOHvXXdCbKzPjeH71Pr7cVWp0HCEcwqJsE2EB3oxNkFFtok2/8ADmZsbx3rdHKTrRYHQcIZxOVl4xw/v2IDZEmhy7itReIUxPjeHV9QcprWkyOo7dkoKFsHsLs02kxgXLfD5xTpRS/PmKwQyODeL+D3M5dLze6EhC2LUT9S2s2VPGzLQYPNzlNkH8x72XJIKC576UEWtCdKaCYzXsLa1jhoyucDkPTR6Ixap59ou9RkexW3InIuzaruIadpfUMDtDmm2Kc+fj6c4/r8/Ew11x+9vbqG82Gx1JCLu1bHsJrRYt00HEf4kJ8eWGkX1YmF3E/rJao+MI4TSW5hbj7qa4VJocu5zeoX5cP7IPH20tZF+pXFdPRwoWwq4tyi7C011JxVmct7gefjx/bTr7ymr5zcJ8tJYmnEKczuLsIgZEBpASE2R0FGGH7ryoP76e7jy9yjU/DVRKTVVK7VFK7VdK/fY0++crpXYppfKVUquVUn3a7VuhlKpSSi075TXv2s65Qyn1hlLK07b9IqVUtVIq1/Z4tOvfoehuWms+zStmTEIYoQHeRscRBrhnQiL+Xh48vqLA6Ch2SQoWwm6ZLVaW5BYzISmCHv5eRscRTmBcYjgPTUliWX4Jr284ZHQcIezO4eP1ZB+tYnZGHEpJk2Px30IDvLllXD8+33GM/KIqo+N0K6WUO/AiMA1IBq5VSiWfclgOMExrPRT4BHii3b4ngRtOc+p3gSRgCOAL3NJu33qtdZrt8cfOeSfCnmQfraLoRCMz5cM5l9XT34s7Lu7Pl7vL2Hywwug4dkcKFsJurdtXzvG6ZpkOIjrV7eP7MTUlir9+XsDGA8eNjiOEXVmUY0IpmCnL6omfcMu4eHr4efLkyj1GR+luI4D9WuuDWusW4ANgZvsDtNZrtNbfdyXdDMS127ca+K8x31rr5doG2NL+NcL5ZeWa8PZwY3JKpNFRhIF+MSae6GAf/rp8t4wCPoUULITdWphtooefJxcPjDA6inAiSimenDuUvqF+3PNeDsVVjUZHEsIuaK1ZkmNidP9QooOlS734cYE+ntx1cQLr9x13tcJvLFDY7nmRbduPuRn4vKMnt00FuQFY0W7zKKVUnlLqc6VUyo+87lal1Fal1Nby8vKOfjthB8wWK59tL2FCUgSBPp5GxxEG8vF0Z/6kAeQVVfPZ9hKj49gVKVgIu1Td0MoXu0qZmRaLl4f8MxWdK9DHkwU3DKPZbOWOd7NpNluMjiSE4bYdOcHRygZmpcuHu+LMrh/Zh+hgH55YsUc+DTwNpdT1wDDapoF01EvAOq31etvzbKCP1joVeAFYcroXaa1f0VoP01oPCw8PP5/YopttOljB8boWGdUmAJidEUdSVCBPrNhDi9lqdBy7Ib8JCru0bHsxLWYrszOkS73oGgkRATw1N5W8wioey9pldBwhDLcox4SPpxtTB0cZHUU4AB9Pd+67JJHcwiq+2FVqdJzuYgJ6tXseZ9v2A0qpicAjwAytdXNHTqyU+j0QDsz/fpvWukZrXWf7ejngqZQKO/f4wt4szS0m0NuDi2Q0sQDc3RS/nZbE0coG3v32iNFx7IYULIRdWpRtIjEigCGxwUZHEU5s6uAo7ryoP+9vOcoHW44aHUcIwzSbLXyWX8KUlCgCvD2MjiMcxJWZccSH+fP0qr1YrC4xyuI7IFEpFa+U8gKuAbLaH6CUSgcW0FasKOvISZVStwBTgGu11tZ226OUrfutUmoEbfft0pHPSTS1Wli54xiTU6Lw8XQ3Oo6wE+MHhDO6fygvfLWfmqZWo+PYBSlYCLtz6Hg9246cYE6mdKkXXe+ByQMZlxjGo0t3klvoWh3vhfjemoIyqhtbmZUuo9pEx3m4uzF/0gD2lNaSlfdfAw2cjtbaDNwNrAR2Ax9prXcqpf6olJphO+xJIAD42LYU6cmChlJqPfAxcIlSqkgpNcW2659AJLDplOVLrwR2KKXygOeBa7TMv3Eaa/eUU9tslukg4geUUjw8bRCV9S28ISvaASAfowi7syi7CDcFV6TJjbPoeu5uiueuSWf6Cxu4851tfHrPWFkHXbicRdkmwgO9GZsgo83F2blsSDQvrz3AM1/s5bIhMU7fd8o2NWP5Kdsebff1xJ947bgf2X7a+3Gt9T+Af5xbUmHvsvJMhAV4Mbp/qNFRhJ0ZEhfMuMQwPtlWxL0TEnFzc+0PcJ37p4pwOFarZlG2iTEJYUQF+xgdR7iInv5eLLghk4r6Fu55PwezRRodCddxor6FNXvKmJkag4e73BaIs+Pmpnho6kAKKxv58DuZWidER9Q2tbJ6dxmXDomW6644rdkZsRSdaOS7w5VGRzGc/A8RduXbQ5WYqhq5MlO61IvuNTg2mL/MGsLGAxU8uXKP0XGE6DbL8otptWhmSZNjcY4uGhDOiL49ef6r/TS0mI2OI4Td+2JXKc1mq0wHET9qSkoUfl7uLM5x/ul2ZyIFC2FXFmYXEeDtweRk6VIvut+VmXFcP7I3C9Yd5LN8WQNbuIZFOSYGRgaSHB1kdBThoJRS/HrqQMprm3lr42Gj4whh95bmFhMb4ktG7x5GRxF2ys/Lg6mDo/gsv4SmVovRcQwlBQthNxpazHy+vYRLh0Th6yXdkoUxHr08hfTeITz0SR57S2uNjiNElzp0vJ6co1XMyoiVJsfivAzr25MJSRH8c+0Bqhuks70QP6airpkN+48zPTVGrrviJ83JiKO22cyXu11m6ejTkoKFsBsrdx6jvsXCnAyZDiKM4+XhxsvXZeLn5cFtb2+TJaWEU1ucY0IpZFiy6BQPTh5ITZOZBesOGB1FCLu1fMcxLFYt111xRiP7hRIV5MOibNeeFiIFC2E3Fm4z0aunL8P79jQ6inBxUcE+vHRdBoWVDTzwUR5Wq6wiJ5yP1polOSZG9w8lOtjX6DjCCSTHBDEjNYY3vzlMWW2T0XGEsEtZuSYSIwJIigo0Ooqwc+5uiivSY/l6bznH65qNjmMYKVgIu1Bc1cg3B44zKz3O5ZfuEfZhRHxPHrlsEF/sKuWltfuNjiNEp9t25ARHKxuYnS6j2kTnmT9pAC0WKy9+JddNIU5lqmrku8MnmCHTQUQHzc6IxWLVZOUWGx3FMFKwEHZhSa4JrWGOdKkXduTG0X2ZmRbD01/sZe2eMqPjCNGpFmab8PV0Z+pgaXIsOk/fMH+uGtaL97YcpbCyweg4QtiVZXltv3TOkOkgooMGRAYyODbIpVcLkYKFMJzWmoXbihjetwd9Qv2NjiPESUop/jp7CAMjA/nVh7nSz0I4jaZWC5/lFzMlJRJ/bw+j4wgnc98libgpxbNf7jU6ihB2ZWluMam9QuR+V5yVWelxbDdVs89Fm8FLwUIYLq+omgPl9cyWZpvCDvl5ebDghkwenzOUIB9Po+MI0SnWFJRR02Rmllx3RReICvbh56P7sjjHJKstCWGzv6yOXSU1zEiV0RXi7MxIjcHdTbHIRUdZSMFCGG5RdhHeHm5cNjTa6ChCnFafUH+mpMiweeE8FuWYCA/0Zkz/UKOjCCd1x/j+BHh58NTKPUZHEcIuZOUVoxRMl/tdcZbCA725MDGMJTkml2wELwULYahms4WsvGImp0TJp9dCCNENTtS3sHZPGTNTY/Bwl9sA0TV6+Hvxywv7sWpXKTlHTxgdRwhDaa3JyjUxql8oEUE+RscRDmh2Rhwl1U1sPlhhdJRuJ3cqwlBrCsqoamiVZptCCNFNluUX02rRzJLrruhivxgbT6i/F0/KKAvh4rabqjlc0SDTQcQ5m5QcSaC3BwuzXW9aiBQshKEWZrcNSx6bEGZ0FCGEcAmLckwkRQWSHB1kdBTh5AK8Pbjr4gQ2Hqhgw77jRscRwjBZucV4uiumDZbpIOLc+Hi6c+mQaFbsKKGhxWx0nG4lBQthmIq6ZtYUlDErPVaGJQshRDc4dLyenKNVzEqPRSlldBzhAq4b2ZuYYB+eXFmA1q4391oIi1XzaX4x4wdEEOwn05/FuZuVEUt9i4VVO0uNjtKt5LdEYZisvGLMVs0c6VIvhBDdYnF2EUrBzDSZDiK6h7eHO7+aOIC8ompWuthNthAAWw5VUlrTzIw0mQ4izs+Ivj2JDfF1udVCpGAhDLMwu4iUmCAGRgUaHUUIIZye1prFuSbG9A8jKliavonuMzsjlv7h/jy9ag8WF+xwL1xbVl4xfl7uTBwUYXQU4eDc3BSz0mPZsK+cspomo+N0GylYCEPsOVbLDlONjK4QQohusvXICQorG5mVLqMrRPfycHfjgckD2VdWx2IX+2RQuLYWs5Xl20uYlByJn5eH0XGEE5iVEYtVw9LcYqOjdBspWAhDLMouwsNNyfA4IYToJouyTfh6ujN1cJTRUYQLmjY4iiGxwTz7xV6azRaj4wjRLdbvK6e6sVVWBxGdpn94AGm9QliYXWR0lG5zXgULpdRUpdQepdR+pdRvT7P/QqVUtlLKrJS68pR9Tyildiqldiulnle27l9KqbW2c+baHjJ+ysmYLVYW55i4aGA4YQHeRscRQgin19Rq4bP8YqakROLvLZ/yie6nlOKhKQMxVTXy/rdHjY4jRLfIyismxM+TcYnhRkcRTmR2RiwFx2rZVVxjdJRucc4FC6WUO/AiMA1IBq5VSiWfcthR4EbgvVNeOxoYAwwFBgPDgfHtDrlOa51me5Sda0Zhn745UEFZbbNMBxFCiG6ypqCMmiYzs+W6Kww0LjGMkf168o81+6lvdq1l+YTraWgxs2pnKdMGR+PlIYPaRee5fGgMnu6KxTmuMcrifP73jAD2a60Paq1bgA+Ame0P0Fof1lrnA9ZTXqsBH8AL8AY8AWkd7SIWbisi2NeTCdJ8SAghusWiHBMRgd6MSQgzOopwYUopfj01ieN1Lbz5zSGj4wjRpb7cXUZjq0Wmg4hO19Pfi4sGRrAktxiz5dRfs53P+RQsYoHCds+LbNvOSGu9CVgDlNgeK7XWu9sd8qZtOsjvlCwU71RqmlpZufMY01Oj8fZwNzqOEEI4vcr6FtYUlDEzLQZ3N/mRKoyV0bsHEwdFsmDdQaoaWoyOI0SXycotJirIhxHxPY2OIpzQnIxYymub+eZAhdFRupwh45OUUgnAICCOtiLHBKXUONvu67TWQ4BxtscNP3KOW5VSW5VSW8vLy7sjtugEn28vodlslekgQgjRTZblF2O2amaly3VX2IcHpwygrtnMP78+aHQUIbpEVUMLX+8t4/Kh0VIoFl3i4qQIgn09WewCzTfPp2BhAnq1ex5n29YRs4DNWus6rXUd8DkwCkBrbbL9WUtb74sRpzuB1voVrfUwrfWw8HBpZOMoFm4z0S/cn7ReIUZHEUIIl7Ao20RSVCDJMUFGRxECgKSoIGamxvDWxkOU1TQZHUeITrdixzFaLVpWwxNdxtvDncuHRrNi5zHqnLwn0PkULL4DEpVS8UopL+AaIKuDrz0KjFdKeSilPGlruLnb9jwMwLb9cmDHeWQUduRoRQNbDlcyJyMOmekjhBBd72B5HbmFVcxK79CMTSG6zf2TBmC2aJ7/ap/RUYTodFl5xcSH+TMkNtjoKMKJzc6IpanVyoodx4yO0qXOuWChtTYDdwMrgd3AR1rrnUqpPyqlZgAopYYrpYqAucACpdRO28s/AQ4A24E8IE9r/SltDThXKqXygVzaRmy8eq4ZhX1ZlFOEUsiNsxCdrIuWmM5USm23nfPkduFYluSYUApmpsl1V9iXPqH+XDOiFx9sKeRIRb3RcYToNKU1TWw6WMH01Bj5gE50qYzePegT6sciJ58Wcl49LLTWy7XWA7TW/bXWf7Fte1RrnWX7+jutdZzW2l9rHaq1TrFtt2itb9NaD9JaJ2ut59u212utM7XWQ7XWKVrr+7TWlvN9k8J4WmsWZZsY3T+UmBBfo+MI4TS6cInpl4FfAom2x9SueQeiq2itWZxrYmxCGFHBPkbHEeK/3DshEQ93xbNf7DU6ihCdZll+CVojq4OILqeUYlZ6LJsOVlBc1Wh0nC4jiwKLbvHd4RMcrWyQZptCdL5OX2JaKRUNBGmtN2utNfBv4Ioufh+ik209coLCykYZ1SbsVkSQDzeOjmdpXjEFx2qMjtMhHRjRNl8ptUspla+UWq2U6tNu3wqlVJVSatkpr4lXSn1rO+eHtqnWKKW8bc/32/b37er3J85fVl4xKTFBJEQEGB1FuIDZ6XFoDUtyO9pK0vFIwUJ0i4XbivDzcmdKSpTRUYRwNl2xxHSs7TxnfU5hPxZlF+HrKdddYd/uGN+fAG8Pnlq5x+goZ9TBEW05wDCt9VDapkA/0W7fk5x+9bvHgWe11gnACeBm2/abgRO27c/ajhN27PDxevIKq2R0heg2vUP9GNanB4uzTbR9xuR8pGAhulxTq4XPtpcwbXA0/t4eRscRQticYYnpjp5Dlpi2Q02tFpbllzB1cJRcd4VdC/bz5Pbx/flydxnbjlQaHedMOjKibY3WusH2dDNt19fv960Gatsfb+sPNIG24gbAv/jPiLaZtufY9l8i/YTs26d5xQBcLgUL0Y1mZ8Sxr6yOHSbHGKl2tqRgIbrcSttyO3My5QNaIbpAVywxbaLdTfZPnVOWmLZPXxWUUdtklukgwiHcOLovYQFePLFij71/Qni2I9pupu26+lNCgSpbM/tTz3ny+9n2V9uO/wEpHNsHrTVL84oZ0bcnsdKvTXSjy4ZE4+XuxqIc52y+KQUL0eUWZpuIDfFlZPx//YwVQpy/Tl9iWmtdAtQopUbaPs37GbC0K8KLrrEo20REoDdjEsKMjiLEGfl7e3D3xQl8e6iS9fuOGx2nUyilrgeG0TYNpEtJ4dg+7C6pZX9ZHdPTZHSF6F7Bfp5MTI4gK7eYVsup7cocnxQsRJcqrWliw75yZqXH4uYmoxiF6GxdtMQ0wJ3Aa8B+2zFn+pRQ2InK+hbW7injivRY3OW6KxzEtRf0JjbElydX2vUoiw6NaFNKTQQeAWZorZvPcM4KIEQp9f3crfbnPPn9bPuDbccLO5SVV4y7m+LSwdI3SHS/WelxVNS3sH6f842ykomtokstyTFh1TA7Q4YlC9FVtNbLgeWnbHu03dff8cMpHt9vtwC3/cg5t9K21KlwMMvyizFbtUwHEQ7F28Od+ycN4MGP8/h8xzEuHRJtdKTTOTmijbZiwjXAvPYHKKXSgQXAVK112ZlOqLXWSqk1wJW09cT4Of8Z0ZZle77Jtv8rbcfVHFdmtWo+zStmXGIYoQHeRscRLmj8gHB6+nuxMNvEhKRIo+N0KhlhIbqM1pqF2UVk9A6hX7gs7SSEEN1hUbaJpKhABkUHGR1FiLMyKz2WxIgAnlq1B7MdDmvuyIg22qaABAAfK6VylVInp+gppdYDH9PWPLNIKTXFtus3wHyl1H7aelS8btv+OhBq2z4f+K9lVIV9yD56AlNVo6wOIgzj5eHG9KHRfLGrlOrGVqPjdCopWIgus7O4hr2ldczO+K8PdoUQQnSBA+V15BZWyag24ZDc3RQPTB7IwfJ6FmV3tHdw99JaL9daD9Ba99da/8W27VGtdZbt64la60itdZrtMaPda8dprcO11r5a6zit9Urb9oNa6xFa6wSt9dzvp5ForZtszxNs+w8a8Z7FmWXlFePt4cZkWUZaGGh2RhwtZiufby8xOkqnkoKF6DKfbCuyVfuk2iyEEN1hSY4JNwUz06RgIRzTlJRIUnuF8Pcv99LUajE6jhBnZLZY+Sy/hImDIgmQZaSFgYbGBdMv3J9FOfZZ8D1XUrAQXaLFbCUrr5hJgyIJ9vM0Oo4QQjg9q1WzOMfEmIQwIoN8jI4jxDlRSvHrKQMprm7i3W+PGh1HiDP65kAFFfUtTJfpIMJgSinmZMSx5VAlhZUNRsfpNFKwEF3i673lVNa3yLBkIYToJluPnKDoRKM02xQOb0xCGGMSQnlxzX7qms1GxxHiJ2XlFhPo7cFFA2VJWWG8mbZldZc40SgLKViILrFwWxFhAV5cOEAu3kII0R0W5xTh5+XOFJlDLZzAg5MHUlnfwuvrDxkdRYgf1dRqYeXOY0wdHIWPp7vRcYQgrocfI/v1ZFGOyZ6XiD4rUrAQne5EfQurC0qZmRaLp7v8ExNCiK7W1GphWX4JU1Oi8Jc51MIJpPfuweTkSF5df5AT9S1GxxHitNYUlFHXbGZGmkwHEfZjdnoch47Xk1tYZXSUTiG/TYpO92l+Ma0WLdNBhBCim3xVUEZtk5lZct0VTuTBKQOpbzHz8tcHjI4ixGll5RUTFuDFqH6hRkcR4qRpQ6Lw9nCz29WWzpYULESnW5htIikqkJSYYKOjCCGES1iUXURkkDej+4cZHUWITjMgMpBZ6bH8a+NhjlU3GR1HiB+obWpldUEZlw+NwUNGFAs7EujjyeSUKD7NL6bFbDU6znmT/12iU+0vqyOvsIorM+OMjiKEEC6hoq6ZtXvKmZkWi7ubMjqOEJ3q/okDsGrNc6v3GR1FiB9YubOUFrNVVgcRdml2RixVDa2s2VNmdJTzJgUL0akWZhfh7qZkLp8QQnSTZfklmK1aVgcRTqlXTz/mjejNR1sLOXS83ug4QpyUlVdMXA9fMnqHGB1FiP8yLiGMsABvFjvBtBApWIhOY7FqluSYuDAxjIhAH6PjCCGES1iU0zYNb1B0kNFRhOgSd09IxMvdjWe+2Gt0FCEAOF7XzDf7jzMjNQalZGSbsD8e7m7MTIthdUEpVQ2O3bhYChai02w6UEFJdRNzZDqIEEJ0iwPlbdPw5mTIdVc4r/BAb/6fvTsPr7q88///fGcnQMIS1gQIOwKyg6yKG2KrLO5UCy6trVMsXDjwAAAgAElEQVRnOtN2pu2vM9ra6VzT6bfTTqfW6iiIu3VBUbGKCyoQNlkFBEL2hCUQCISQ5eTcvz9yaI8pQhZyPifnvB7XdS7P+WzndZJ488k793L39Eze2FbCzpJyr+OIsGLHAer8Tj2KJazNH5tObZ3jze0HvI7SIipYyAXzyuYiOibFcdVFPbyOIiISFV7bUkyMwVzdNEuEu3fGQNI6JLK9SAUL8d7yrSUM6dGBYT3Vs03C14jeKQzt0ZFXNxd5HaVFVLCQC6Ki2sefPzvIdaN6kxQf63UcEZGI5/c7lm0pZtqgNLqnaBieRLbU5Hg++ZfLWTCpr9dRJMoVHatkU/4x5o7RvEES3syM+ePS2VxwnLw2PAeQChZyQby94wCna+u4abwabxGRUNiYV0bRsdPcME7trkSHdgn6g4h479XAJIbXj1LPNgl/88akY1Y/31VbpYKFXBCvbC4is2sy4/p29jqKiEhUWLalmOSEWK4Z0dPrKCIiUcFX5+e59QXMGJxG367JXscROa+eqUlMG5jGsi1FOOe8jtMsKlhIixUdq2RdThk3jMvQTMkiIiFQVVvHWzsOMHtET5IT4ryOIyISFVbuOsTBE1UsnJLpdRSRRrthXDqFZafZlH/M6yjNooKFtNiZ9X3nj1W3ZBGRUHh/92FOVvmYr+EgIiIhszQrj/RO7bhiWHevo4g02jUjetIuPvYvw5naGhUspEWcc7y6pZjJA7rQp4u6xomIhMKyLUX0SElk6sA0r6OIiESFPQdPsi6njK9P6UdsjHoUS9vRPjGOa0f25M3tJVTV1nkdp8lUsJAW2VxwnNwjp7hhXIbXUUREosLRimpW7Sll3ph03TSLiITIU1l5JMTFcMuEPl5HEWmy+ePSOVnl4/3dh72O0mQqWEiLvLK5iHbxsXzl4l5eRxERiQpvbj+Az+80HEREJEROVNWybEsxc0b3pkv7BK/jiDTZ1IFp9EhJZNmWIq+jNJkKFtJsVbV1vLmthNkje9IhUZO+iYiEwqubi7ioVwrDeqZ4HUVEJCq88mkRlTV1LNJkm9JGxcYY88aks2pPKUcrqr2O0yQqWEizvbf7ECeqfNyo4SAiIiGxv7SCbUXl3KBJjkVEQsLvdzydlc+YPp24OCPV6zgizXbDuAx8fscb20q8jtIkKlhIs726uZieKUlMGdjV6ygiIlFh2eZiYgzmjuntdRQRkaiwZv8Rco6cYtHUfl5HEWmRoT07MrxXCq9uaVurhahgIc1SerKaj/aWMn+cJn0TEQkFX52fZVuKmTYoje4pSV7HERGJCkvX5tO1fYLma5OIcMO4dLYXlZN9+KTXURpNBQtplte3FlPnd9yoSd9ERELivd2HKD5+mtsv6et1FBGRqFBYVsn7nx9iwaS+JMbFeh1HpMXmjOlNbIzx6ua208tCBQtpllc2FzM6I5VB3Tt6HUVEJCosXpNHRud2XD28p9dRRESiwjPr8zHgayoUS4To3jGJGYPTeG1LMX6/8zpOo6hgIU22q+QEuw+c4MbxmmxTRCQUPisuZ0NuGYumZGoYnohICFTV1vGnjYXMGt6T3p3aeR1H5IK5YVwGJeVVrMs96nWURlHBQprslc1FxMca14/SpG8iIqGwZE0eyQmx3DKxj9dRRESiwhvbSjhWWctCTbYpEWbW8B50SIxjWRsZFqKChTSJr87P61uLuWJYdzq3T/A6johIxCs9Wc0b20q4aXwGqe3ivY4jEtXMbLaZ7TGzbDP70Vn2f8/MdpnZdjN738z6Be1bZGb7Ao9FgW0dzWxr0OOImf02sO9OMysN2veN0H3S6OacY2lWHoO7d2DKAK2GJ5ElKT6Wr1zckxU7DnC6ps7rOOelgoU0ycf7SjlSUcON4zQcREQkFJ5dn09NnZ87p2Z6HUUkqplZLPAwcC0wHFhgZsMbHLYFmOCcGwW8DPxX4NwuwIPAJcAk4EEz6+ycO+mcG3PmAeQDrwZd78Wg/Y+36geUv9hSeJzPik+wcEo/zDQMTyLP/LEZnKqp491dB72Ocl4qWEiTvPJpMV3aJzBzaHevo4iIRLxqXx3PrMvn8qHdGNCtg9dxRKLdJCDbOZfjnKsBXgDmBh/gnPvQOVcZeLkOOPMXnmuAlc65MufcMWAlMDv4XDMbAnQHPmnFzyCN8HRWPh0S45ivP9BJhLqkfxfSO7VrE6uFqGAhjVZeWcvK3YeYM7o3CXH60RERaW1vbjvAkYoa7p7e3+soIgLpQGHQ66LAti9zD/B2E869jfoeFcFT998YGF7ysplpEpsQKD1ZzVvbD3DT+Aw6JMZ5HUekVcTEGPPG9uaTfaUcPlnldZxz0m+d0mhv7iihxufXcBARkRBwzrF4TS6Du3dg+qA0r+OISBOY2R3ABOBXTTjtNuD5oNdvAJmB4SUrgaVf8l73mtkmM9tUWlra3MgS8OLGAmrq/NwxWZNtSmSbPzYDv4PlW0u8jnJOKlhIo73yaRFDenRgZHqK11FERCLexrxj7Cw5wV3T+msMtUh4KAaCezlkBLZ9gZldBfwEmOOcq27MuWY2Gohzzn16Zptz7mjQ+Y8D488Wyjn3mHNugnNuQrdu3Zr+qeQvfHV+nl1fwPRBaQzqrmF4EtkGde/A6IzUsB8WooKFNEpOaQWbC45z47gM3TiLiITAkjW5dEqOZ/7Yc/U4F5EQ2ggMNrP+ZpZAfY+I5cEHmNlY4FHqixWHg3a9A8wys85m1hmYFdh2xgK+2LsCM+sV9HIOsPuCfRI5q/d2H+JAeRULp6h3hUSHG8ZlsOvACT4/eMLrKF9KBQtplOc3FBAbY8zTjbOISKsrLKvknZ0HWTCpL+0SYr2OIyKAc84H3E99oWE38Cfn3E4ze8jM5gQO+xXQAXgpsBTp8sC5ZcDPqS96bAQeCmw74xYaFCyAfzCznWa2DfgH4M5W+mgSsHRtPumd2nHlRT28jiISEteP7k1cjLEsjHtZaCYZOa+Kah8vbCjkKxf3okdKktdxREQi3tPr8jEzvq4x1CJhxTm3AljRYNsDQc+vOse5i4HFX7JvwFm2/Rj4cbPDSpPsPXSSrJyj/MvsocTGqDexRIczqz++trWYf5k9LCx/9lvUw8LMZpvZHjPLNrMfnWX/pWa22cx8ZnZTg33/Faga7zaz31lgnIGZjTezHYFr/mW7eOelTYWcrPZxj2apFxFpdaeqfTy/oYBrR/akd6d2XscREYkKT2flkxAXw60TtBiLRJcbxqVz6EQ1a/cf8TrKWTW7YGFmscDDwLXAcGCBmQ1vcFgB9d3Xnmtw7lRgGjAKGAlMBC4L7H4E+CYwOPD4whrVElp1/vpZ6sf368yYPp28jiMiEvFe3VzEySofd01TkVhEJBROVNXyyuYirh/Vm64dEr2OIxJSVwzrTkpSXNhOvtmSHhaTgGznXI5zrgZ4AZgbfIBzLs85tx3wNzjXAUlAApAIxAOHApMLpTjn1gXWoH4KmNeCjNJCK3cdorDstHpXiIiEgN/vWLImj9EZqYzrqyKxiEgovPppEZU1dZpsU6JSUnwsXx3Vmz9/dpBT1T6v4/yNlhQs0oHCoNdFgW3n5ZzLAj4EDgQe7zjndgfOL2rONaV1LF6dS0bndswarsmHRERa20f7Ssk5coq7p2spUxGRUHDO8dS6fEb36cRo9SaWKHXjuHRO19bx588Oeh3lb3iySoiZDQIuon4N6nTgCjOb0cRr3Gtmm8xsU2lpaWvEjHrbi46zIa+MO6dmEherBWVERFrb4tW5dO+YyLUje53/YBERabE12UfJKT3FIvWukCg2vl9n+nZJZtmW8BsW0pLfQouB4FlpMgLbGmM+sM45V+GcqwDeBqYEzs9ozDWdc4855yY45yZ069atyeHl/J5YnUuHxDhunajJh0REWtu+Qyf5ZN8RFk7pR0KcisQiIqGwNCuPru0T+MrFKhRL9DIz5o9NZ83+IxwoP+11nC9oyR3RRmCwmfU3swTgNmB5I88tAC4zszgzi6d+ws3dzrkDwAkzmxxYHWQh8HoLMkozHSyv4q3tB7hlQh86JsV7HUdEJOItWZtHQlwMCyb19TqKiEhUKDpWyfu7D3HrxD4kxcd6HUfEU/PHpuMcvL61xOsoX9DsgoVzzgfcD7wD7Ab+5JzbaWYPmdkcADObaGZFwM3Ao2a2M3D6y8B+YAewDdjmnHsjsO/vgMeB7MAxbzc3ozTf0qw8/M5x17RMr6OIiES845U1vLq5iPlj0jVDvYhIiDy7vgCA2ydrOIhIZlp7xvfrzKubi6hf/yI8xLXkZOfcCmBFg20PBD3fyBeHeJzZXgd860uuuYn6pU7FI5U1Pp5bX8A1I3rSp0uy13FERCLe8xsKqar1c9f0TK+jiIhEharaOl7YUMDVw3uQ3qmd13FEwsL8sen862ufsbPkBCPTU72OA3g06aaEt1c+LaL8dK2WMhURCQFfnZ+ns/KYOrArw3qmeB1HRCQqvLn9AMcqa1k0JdPrKCJh47pRvUiIjeHVzeEz+aYKFvIFfr9j8Zo8RmekMr5fZ6/jiIhEvHd2HqKkvIq7pqlILCISKk9n5TGoewemDOzqdRSRsNEpOYErhnVn+bZifHV+r+MAKlhIAx/uOUzukVPcPb0/9fOeiohIa1q8Jpd+XZO5Ylh3r6OIiESFrYXH2VZUzsIp/XS/K9LADePSOVJRwyf7jngdBVDBQhp4YnUuvVKTtLSTiEgIbCs8zqf5x1g0JZPYGN00i4iEwlNr8+iQGMcN4/5mqj2RqDdzaHc6J8fz6pbwGBaigoX8xa6SE6zdf5RFUzOJj9WPhohIa1uyJpcOiXHcPEE3zSIioXCkopo3tx/ghnHpdEhs0foDIhEpIS6G60f35t2dBzlRVet1HBUs5K+eWJ1Lu/hYFkzs63UUEZGId+hEFW/tOMDNEzLomBTvdRwRkajw4sZCaur8LJyipUxFvsz8selU+/z8ecdBr6OoYCH1Dp+s4o1tJdw8IYPUZN04i4i0tmfW5ePzO+6cmul1FBGRqOCr8/PsunymDerKoO4dvY4jErbG9OnEgLT2vLK5yOsoKlhIvWey8qn1+zVLvYhICFTV1vHs+gKuHNaDfl3bex1HRCQqvLf7MCXlVSzUUqYi52RmzB+bzvrcMoqOVXqaRQULoaq2jmcCN87903TjLCLS2pZvLaHsVA13T8v0OoqISNR4el0evVOTuFKrMomc17yx6QC85vHkmypYCMu2FFN2qoZ7pqt3hYhIa3POsXhNLsN6dmTKwK5exxERiQrZh0+yJvsot0/uR5wmlxc5rz5dkpnUvwuvbinGOedZDv3fGuWccyxencvwXilMHtDF6zgiIhEvK+conx88yV3TMjHTUqYiIqHwVFY+CbEx3Daxj9dRRNqMG8elk1N6im1F5Z5lUMEiyn287wj7Dldwz/T+unEWEQmBJWvy6NI+gblj0r2OIiISFU5W1fLKp0VcN6oXXTskeh1HpM249uJeJMbFsMzDyTdVsIhyT6zOpXvHRK4f3dvrKCIiES//6Cne232Ir03qS1J8rNdxRESiwrItxZyqqWOhVmUSaZKUpHiuHt6D5dtKqPH5PcmggkUU23voJB/vLWXhlH4kxOlHQUSktS1dm0+sGV+f0s/rKCIiUcE5x9K1eYzOSGVMn05exxFpc24Yl86xylo+2lvqyfvrt9Qotnh1LolxMXztEt04i7RlZjbbzPaYWbaZ/egs+y81s81m5jOzm4K2X25mW4MeVWY2L7DvSTPLDdo3JpSfKRKdrKrlT5sK+eqoXvRISfI6johIVFi7/yj7S09pKVORZpoxuBtpHRJ41aNhIXGevKt47mhFNa9uKebGcRl0aZ/gdRwRaSYziwUeBq4GioCNZrbcObcr6LAC4E7gB8HnOuc+BMYErtMFyAbeDTrkn51zL7de+ujy8qdFVFT7uGuaVmQSEQmVp7Lq5w366qheXkcRaZPiY2O4fnRvnl1XQHllLanJ8SF9f/WwiFLPri+gxufnnumZXkcRkZaZBGQ753KcczXAC8Dc4AOcc3nOue3AuQYf3gS87ZyrbL2o0cvvdzy5No9xfTupS7KISIgUHz/Nyl2HuHViH80bJNICN47LoKbOz5s7SkL+3ipYRKFqXx1PZeUzc2g3BnXv6HUcEWmZdKAw6HVRYFtT3QY832DbL8xsu5n9xszOOq26md1rZpvMbFNpqTdjG9uCDz4/TP7RSu6ert4VIiKh8uy6fABuv6Svx0lE2rYRvVMY3L0DyzYXh/y9VbCIQsu3lnCkopp7dOMsIoCZ9QIuBt4J2vxjYBgwEegC/PBs5zrnHnPOTXDOTejWrVurZ22rlqzNpVdqEteM6Ol1FBGRqFBVW8cLGwu56qIeZHRO9jqOSJtmZtwwLoNN+cfIP3oqpO+tgkWUcc7xxOpchvboyPRBaV7HEZGWKwb6BL3OCGxriluAZc652jMbnHMHXL1qYAn1Q0+kGT4/eII12UdZOCWT+Fj9sysiEgordhyg7FSNJtsUuUDmje2NWf0ywaGkO6cok7X/KJ8fPMnd0zMxM6/jiEjLbQQGm1l/M0ugfmjH8iZeYwENhoMEel1g9Q3FPOCzC5A1Kj25Jo+k+BgWTOpz/oNFJKw1YlWm75nZrsBwuvfNrF/QvkVmti/wWBS0fVXgmmdWZeoe2J5oZi8G3mu9mWWG4jNGiqVZ+Qzo1p5pg7p6HUUkIvRKbcfUgV1ZtqUY51zI3lcFiyjzxOpcurZPYO6Y5gxxF5Fw45zzAfdTP5xjN/An59xOM3vIzOYAmNlEMysCbgYeNbOdZ84P3AD3AT5qcOlnzWwHsANIA/69tT9LJCo7VcOyLcXcMC6DTslakUmkLQtalelaYDiwwMyGNzhsCzDBOTcKeBn4r8C5XYAHgUuo77H2oJl1DjrvdufcmMDjcGDbPcAx59wg4DfAL1vpo0WcbYXH2VZ4nEVT9Ac6kQvp7mn9uXViH2rqzjWP+4WlZU2jyP7SCt7//DDfvXKwZkoWiSDOuRXAigbbHgh6vpH6oSJnOzePs0zS6Zy74sKmjE7Pbyig2ufnrqmZXkcRkZb7y6pMAGZ2ZlWmvywjHVgu+ox1wB2B59cAK51zZYFzVwKz+dvJjoPNBX4aeP4y8HszMxfKP222UU9l5dM+IZYbxukPdCIX0pUX9eDKi3qE9D3VwyKKLFmTS0JsDHdM7nf+g0VEpEVq6/w8lZXHjMFpDO6hFZlEIkBTV2W6B3i7kecuCQwH+Tf7a5eAv5wT6E1XDvzN+Aat1vRFRyuqeWN7CTeMy6BjUrzXcUSkhVSwiBLHK2t45dNi5o7pTbeOZ12dUERELqAVOw5w6EQ1d0/Tikwi0cbM7gAmAL9qxOG3O+cuBmYEHl9vyntptaYvenFTITU+Pwun6A90IpFABYso8dyGAk7X1nHPDN04i4iEwuI1eQxIa89lQ/QLhEiEaNSqTGZ2FfATYE5gpaVznuucO/Pfk8Bz/HVVpr+cY2ZxQCpw9AJ9lohU53c8u66AqQO7qmebSIRQwSIK1Pj8LF2bx/RBaQzrmeJ1HBGRiLe54BjbCo9z57RMYmI04ZtIhDjvqkxmNhZ4lPpixeGgXe8As8ysc2CyzVnAO2YWZ2ZpgXPjgev466pMy4Ezq4ncBHyg+SvO7f3dhyg+flq9K0QiiCbdjAJnuiX/5w2jvI4iIhIVlqzJo2NSHDeOO+tcpyLSBjnnfGZ2ZlWmWGDxmVWZgE3OueXUDwHpALwUmIqiwDk3xzlXZmY/p77oAfBQYFt76gsX8YFrvgf8X+CYJ4CnzSwbKKO+QCLn8FRWPr1Sk7gqxJMCikjrUcEiwjnneGJ1LgO6qVuyiEgoHCg/zYodB7h7WibtE/XPrEgkacSqTFed49zFwOIG204B47/k+Crql6OWRsg+fJLV2Uf452uGEherTuQikUL/N0e4jXnH2FFczt3T+qtbsohICDydlY9zjoVTMr2OIiISNZ7OyichNoZbJ/Y5/8Ei0maoYBHhHv8kh07J8eqWLCISAqdr6nhuQwGzhvekT5dkr+OIiESFimofr2wu5qujepHWQavhiUQSFSwiWP7RU6zcfYjbL+lLu4RYr+OIiES817YWc7yylrumZXodRUQkaizbXERFtU+TbYpEIBUsItiSNXnExZi6JYuIhIBzjiVrchnRO4VJ/bt4HUdEJCo451ialc+ojFTG9OnkdRwRucBUsIhQJ6pqeWlTIdeN6k2PlCSv44iIRLw12UfZe6iCu6b1J7A6gIiItLKsnKNkH67g65P7qe0ViUAqWESoFzcUcqqmjnum9/c6iohIVFi8Jpe0DglcP7qX11FERKLGU2vz6Zwcz/Wje3sdRURagQoWEchX5+fJtXlc0r8LI9NTvY4jIhLxco+c4oPPD3P7Jf1IjNOcQSIioVB8/DTv7jrIrRP7khSvtlckEqlgEYH+vPMgxcdPq3eFiEiIPLkml4TYGG6f3NfrKCIiUeO59fkA3H6J2l6RSKWCRQR6YnUu/bomc+VFPbyOIiIS8cpP1/LSp0VcN7oX3TtqziARkVCo9tXxwoZCrhjWQ8tIi0QwFSwizKf5x9hScJy7p/UnNkYTD4mItLaXNhVSWVPH3dPUq01EJFRW7DjA0VM1LJqqpUxFIpkKFhFm8epcUpLiuGl8htdRREQiXp3f8eTaPCZlas4gEZFQWro2nwHd2jNtYJrXUUSkFalgEUGKjlXy9mcHWDCpL+0T47yOIyIS8VbuOkTRsdPcNS3T6ygiIlFje9FxthYe5+uT+xGjHsUiEU0FiwiydG0eZsaiqZleRxERiQpL1uSS3qkdVw/XnEEiIqHyVFY+yQmx3KgexSIRTwWLCFFR7eOFDYVcO7InvTu18zqOiEjE21lSzvrcMhZN7UdcrP45FREJhbJTNSzfVsIN49JJSYr3Oo6ItDLdYUWIP20s5GS1j2/MGOB1FBGRqLBkTR7JCbHcOkHL6YmIhMqLGwup8flZOCXT6ygiEgIqWESAOr9jydpcxvfrzJg+nbyOIyIS8Y5UVLN8awk3jssgNVl/4RMRCYU6v+OZdflMHtCFIT06eh1HREJABYsIsHLXIQrLTnPPdC2pJyISCs+uK6Cmzs+dmmxTRCRkPvj8MMXHT7NIvStEooYKFhFg8er6Sd9madI3EZFWV+2r45n1+cwc2o2B3Tp4HUdEJGo8lZVHr9QkTXQsEkVaVLAws9lmtsfMss3sR2fZf6mZbTYzn5ndFLT9cjPbGvSoMrN5gX1Pmllu0L4xLckY6bYXHWdDXhl3TcvUpG8iIiHw1vYDlJ6s5u5p6tUmIhIq+0sr+GTfEb42qa/ueUWiSFxzTzSzWOBh4GqgCNhoZsudc7uCDisA7gR+EHyuc+5DYEzgOl2AbODdoEP+2Tn3cnOzRZMnVufSITGOWyf28TqKiEjEc86xeE0ug7p3YMbgNK/jiIhEjaez8omPNW6bpImORaJJS8qTk4Bs51yOc64GeAGYG3yAcy7PObcd8J/jOjcBbzvnKluQJSodLK/ire0HuGVCHzpqWScRkVa3Kf8YnxWf4K5pmZiZ13FERKJCRbWPVz4t4qsX96Jbx0Sv44hICLWkYJEOFAa9Lgpsa6rbgOcbbPuFmW03s9+Y2VlbJTO718w2mdmm0tLSZrxt27c0Kw+/c9ylSd9EREJiyZpcUtvFc8PYDK+jiIhEjWVbijlZ7WPh1Eyvo4hIiHk6AMzMegEXA+8Ebf4xMAyYCHQBfni2c51zjznnJjjnJnTr1q3Vs4abyhofz60vYNbwnvTpkux1HBGRiFd0rJI/f3aQBZP60i4h1us4IiJRwTnH01l5jExPYWyfTl7HEZEQa0nBohgInjghI7CtKW4Bljnnas9scM4dcPWqgSXUDz2RBl75tIjy07V8Y4YmfRMRCYWns/IxMxZO6ed1FBGRqLEup4y9hypYOEVD8USiUUsKFhuBwWbW38wSqB/asbyJ11hAg+EggV4XWH2LNA/4rAUZI5Lf71i8Jo/RGamM79fZ6zgiIhGvssbH8xsKmD2yJ707tfM6johI1HgqK49OyfHMGd3b6ygi4oFmFyyccz7gfuqHc+wG/uSc22lmD5nZHAAzm2hmRcDNwKNmtvPM+WaWSX0PjY8aXPpZM9sB7ADSgH9vbsZI9eGew+QeOcXd0/ur0iwiEgKvbC7mRJWPuzVnkIhIyBwoP827uw5x68Q+JMVrKJ5INGr2sqYAzrkVwIoG2x4Ier6R+qEiZzs3j7NM0umcu6IlmaLBE6tz6ZWaxFcu7uV1FBGRiOf3O55ck8uojFTG9VWvNhGRUHlufQF+57jjEg3FE4lWnk66KU23s6SctfuPsmhqJvGx+vaJiLS2j/eVsr/0FHdPU682EZFQqfbV8fyGAq4c1l0TzItEMf3G28YsXp1Hu/hYFkzs63UUEZGosGRNHt07JqpXm4hgZrPNbI+ZZZvZj86y/3tmtsvMtpvZ+2bWL2jfIjPbF3gsCmxLNrO3zOxzM9tpZv8ZdPydZlZqZlsDj2+E5lOGh7d3HORIRQ0Lp2R6HUVEPKSCRRty+GQVb2wr4eYJGaQmx3sdR0Qk4mUfruCjvaV8fXI/EuL0T6ZINDOzWOBh4FpgOLDAzIY3OGwLMME5Nwp4GfivwLldgAeBS6hfAe9BMzszxuz/OeeGAWOBaWZ2bdD1XnTOjQk8Hm+tzxZunHMsWZtH/7T2TB+U5nUcEfGQ7r7akGey8qn1+7lrmpYyFREJhSfX5pIQF8PXLlGvNhFhEpDtnMtxztUALwBzgw9wzn3onKsMvFzHX+dyuwZY6Zwrc84dA1YCs51zlc65DwPn1gCb+ZL536LJupwythUe557p/YmJ0VA8kWimgkUbUVVbxzPr68fx9U9r73UcEZGIV15ZyyufFjNvTG+6dkj0Oo6IeGHFIoYAACAASURBVC8dKAx6XcRZJpAPcg/wdmPPNbNOwPXA+0GbbwwML3nZzPo0N3hb84dV2aR1SOSm8VFfuxGJeipYtBHLthRTdqqGe6YP8DqKiEhUeGFjAadr69SrTUSazMzuACYAv2rk8XHA88DvnHM5gc1vAJmB4SUrgaVfcu69ZrbJzDaVlpa2PLzHPisu55N9R7h7eqaWMhURFSzaAucci1fnMrxXCpMHdPE6johIxPPV+Vm6No8pA7pyUa8Ur+OISHgoBoJ7OWQEtn2BmV0F/ASY45yrbuS5jwH7nHO/PbPBOXc06PzHgfFnC+Wce8w5N8E5N6Fbt25N/Ejh55GP9tMxMY47JmspUxFRwaJN+HjfEfYdruCe6VpST0QkFN7ddYiS8irumpbpdRQRCR8bgcFm1t/MEoDbgOXBB5jZWOBR6osVh4N2vQPMMrPOgck2ZwW2YWb/DqQC/9jgWsFLE80Bdl/gzxN2co+c4u0dB7hjSj9SkjTBvIhAnNcB5PyeWJ1Lt46JXD+6t9dRRESiwuLVufTtksyVF/XwOoqIhAnnnM/M7qe+0BALLHbO7TSzh4BNzrnl1A8B6QC8FPgjU4Fzbo5zrszMfk590QPgocC2DOp7Y3wObA6c8/vAiiD/YGZzAB9QBtwZsg/rkcc+ziEuNkbFYhH5CxUswtzeQyf5eG8pP5g1REvqiYiEwNbC42zKP8a/XTecWM1OLyJBnHMrgBUNtj0Q9Pyqc5y7GFjcYFsRcNaGxjn3Y+DHLcnblhw+UcUrnxZx84QMundM8jqOiIQJ/QYc5havziUxLoavXaJxfCIiofCblXvpnBzPrROjZkJ+ERHPPbEmF5/fz72XaoJ5EfkrFSzC2NGKal7dUswN4zLo0j7B6zgiIhFvU14ZH+0t5duXDaRDojohioiEQvnpWp5dV8BXR/WmX9f2XscRkTCigkUYe3Z9ATU+P/dMz/Q6iohIVPj1u3tJ65DIwimZXkcREYkaz6zLp6Lax7cvU+8KEfkiFSzCVLWvjqey8rlsSDcGde/odRwRkYi3NvsIWTlH+c7lA2mXEOt1HBGRqFBVW8fi1blcNqQbI3qneh1HRMKMChZhavnWEo5UVPONGf29jiIiEvGcc/x65V56pSaxYFJfr+OIiESNlzYVcvRUDffNHOh1FBEJQypYhCHnHE+szmVoj45MH5TmdRwRkYi3am8pn+Yf4/4rBpEUr94VIiKh4Kvz8+jHOYzr24lL+nfxOo6IhCEVLMJQ1v6jfH7wJHdPzySwHreIiLQS5xz//e5e+nRpx83jtTKIiEiovLXjAEXHTnPfzEG65xWRs1LBIgw9vjqXru0TmDsm3esoIiIR791dh9hRXM53rxxCQpz+WRQRCQXnHI+s2s/g7h24clh3r+OISJjSnVmY2V9awQefH+aOyf3ULVlEpJX5/fW9KwaktWfemN5exxERiRqr9pTy+cGTfPuygcTEqHeFiJydChZh5onVuSTExnDH5H5eRxERiXhv7jjAnkMn+cerhxAXq38SRURC5ZFV++mdmsQcFYtF5Bx0dxZG9h46yYsbC7l5QgbdOiZ6HUdEJKL56vz89r29DO3Rkesu7uV1HBGRqLEpr4wNeWV889IBxKtYLCLnoBYiTDjneOD1z+iYFMf3Zw31Oo6ISMR7bWsJOaWn+Kerh6g7sohICD2yaj+dk+O5daImOhaRc1PBIky8uf0A63LK+MGsoXRpn+B1HBGRiFZb5+d/3t/LyPQUrhnRw+s4IiJR4/ODJ3j/88PcObU/yQlxXscRkTCngkUYOFXt4xdv7WZkegoLJvX1Oo6ISMR7aVMRhWWn+f6soVpKT0QkhB79KIfkhFgWTdV8bSJyfipYhIHffbCPgyeq+NmckcSqW7KISKuqqq3jfz/Yx7i+nZg5pJvXcUREokZhWSXLt5XwtUl96ZSsHsUicn4qWHgs+3AFi1fncvP4DMb36+x1HBGRiPf8hgIOlFfxA/WuEBEJqcc/ySHG4J4Z/b2OIiJthAoWHnLO8bM3dpIUH8sPrx3mdRwRkYh3uqaOhz/cz5QBXZk6KM3rOCIiUeNIRTUvbCxk/th0eqW28zqOiLQRKlh46M+fHeSTfUf4/tVDSOugZUxFRFrbU1l5HKmo5vuzhngdRUQkqixdm0dNnZ97Lx3odRQRaUNUsPDI6Zo6fv7mLob17MgdkzXpkIg0n5nNNrM9ZpZtZj86y/5LzWyzmfnM7Kag7Zeb2dagR5WZzQvs629m6wPXfNHM2vxg44pqH3/8aD+XDenGhMwuXscREYkaJ6tqWbo2j2uG92RQ9w5exxGRNkQFC488/GE2JeVVPDR3JHGx+jaISPOYWSzwMHAtMBxYYGbDGxxWANwJPBe80Tn3oXNujHNuDHAFUAm8G9j9S+A3zrlBwDHgnlb7ECGyZHUuxypr1btCRCTEnt9QwIkqH9+eqd4VItI0+k3ZA3lHTvHYxznMH5vOpP76K5+ItMgkINs5l+OcqwFeAOYGH+Ccy3PObQf857jOTcDbzrlKq5+J8grg5cC+pcC8Cx89dMora3nskxyuHt6DURmdvI4jIhI1qn11PP5JLlMHdmVMH7W/ItI0KliE2JmJNhPiYvixJtoUkZZLBwqDXhcFtjXVbcDzgeddgePOOV8Lrxk2/u+THE5W+fje1epdISISSss2F3P4ZDV/N3OQ11FEpA1SwSLE3tt9mA/3lPKPVw2me0qS13FERDCzXsDFwDvNOPdeM9tkZptKS0svfLgL4GhFNUvW5HLdqF5c1CvF6zgiIlGjzu949OMcLk5PZdqgrl7HEZE2SAWLEKqqreOhN3cyuHsHFk3N9DqOiESGYqBP0OuMwLamuAVY5pyrDbw+CnQys7jzXdM595hzboJzbkK3bt2a+Lah8ejHOZyureMfr1LvChGRUHpn50Fyj5zivpkDqR9tKCLSNCpYhNAfP9pPYdlpfjZ3BPGaaFNELoyNwODAqh4J1A/tWN7Eayzgr8NBcM454EPq57UAWAS8fgGyhtzhE1UsXZvHvLHpmpleRCSEnHM8smo//dPac82Inl7HEZE2Sr81h0hhWSWPrNrPdaN6MXVgmtdxRCRCBOaZuJ/64Ry7gT8553aa2UNmNgfAzCaaWRFwM/Come08c76ZZVLfQ+OjBpf+IfA9M8umfk6LJ1r7s7SGP6zaj8/v+O6Vg72OIiISVdZkH2VHcTnfunQAsTHqXSEizRN3/kPkQnjozV3Exhg/+epFXkcRkQjjnFsBrGiw7YGg5xupH9ZxtnPzOMuEms65HOpXIGmzio+f5rn1BdwyIYN+Xdt7HUdEJKr8YVU23TsmMn9cm56zWUQ8ph4WIfDhnsOs3HWIv79iML1S23kdR0QkKvz+g30A3H+FeleIiITS1sLjrN1/lG/M6E9iXKzXcUSkDVPBopVV++r42fKdDOjWnnum9/c6johIVMg/eoqXNhWxYFIf0jupUCwiEkp/XLWflKQ4vnZJP6+jiEgbp4JFK3v8k1zyjlby0+tHkBCnL7eISCj8z/v7iI0xvnP5IK+jiEgEMbPZZrbHzLLN7Edn2f89M9tlZtvN7H0z6xe0b5GZ7Qs8FgVtH29mOwLX/J0FltMwsy5mtjJw/Eoz6xyaT9ky2YcreGfXQRZNzaRDokafi0jL6DfoVlR8/DT/+8E+Zo/oyaVDwnO5PxGRSJN9uILXthSzaGom3VOSvI4jIhHCzGKBh4FrgeHAAjMb3uCwLcAE59wo4GXgvwLndgEeBC6hfn6gB4MKEI8A3wQGBx6zA9t/BLzvnBsMvB94HfYe+3g/iXEx3Dk10+soIhIBVLBoRb94axcA/3qdJtoUEQmV3763l6T4WL516QCvo4hIZJkEZDvncpxzNcALwNzgA5xzHzrnKgMv1/HXCY+vAVY658qcc8eAlcBsM+sFpDjn1gWWlH4KmBc4Zy6wNPB8adD2sHWg/DTLthRz64Q+dO2Q6HUcEYkAKli0ktX7jrBix0G+M3MQGZ2TvY4jIhIVdh84wZvbD3D3tP66WRaRCy0dKAx6XcRZVlkKcg/w9nnOTQ88P9s1ezjnDgSeHwR6nO1NzOxeM9tkZptKS0sb8zlazROf5OJ38I0ZKhiLyIWhgkUrqPH5eWD5Z/Trmsw39Rc+EZGQ+c3KvXRMiuObulkWEQ+Z2R3ABOBXF+J6gd4X7kv2Peacm+Ccm9Ctm3dDkI9X1vDchgLmjO5Nny76Y52IXBgqWLSCJWtyySk9xU+vH0FSvJZyEhEJhe1Fx3l31yG+OWMAqcnxXscRkchTDPQJep0R2PYFZnYV8BNgjnOu+jznFvPXYSMNr3koMGSEwH8PX4DP0GqWrs2nsqaOb12mgrGIXDgqWFxgB8ur+J/393HVRd25fFh3r+OIiESNX7+7l87J8dw1LdPrKCISmTYCg82sv5klALcBy4MPMLOxwKPUFyuCCwzvALPMrHNgss1ZwDuBIR8nzGxyYHWQhcDrgXOWA2dWE1kUtD3sVNb4eHJtLlcO686wnilexxGRCNKigkUjlna61Mw2m5nPzG4K2n65mW0NelSZ2bzAvv5mtj5wzRcD/yC0Gf+xYjc+v+OB60Z4HUVEJGpsyivjo72lfPuygXRMUu8KEbnwnHM+4H7qiw+7gT8553aa2UNmNidw2K+ADsBLgXvc5YFzy4CfU1/02Ag8FNgG8HfA40A2sJ+/znvxn8DVZrYPuCrwOiy9uLGQY5W13DdzoNdRRCTCNHtx5KClna6mfoKgjWa23Dm3K+iwAuBO4AfB5zrnPgTGBK7ThfoG+t3A7l8Cv3HOvWBmf6R+wqJHmpszlLL2H2X5thK+e+Vg+nbV2D0RkVD59bt7SeuQyMIpmV5HEZEI5pxbAaxosO2BoOdXnePcxcDis2zfBIw8y/ajwJUtyRsKtXV+/u/jHCZmdmZCZhev44hIhGlJD4vGLO2U55zbDvjPcZ2bgLedc5WBrnBXUL9uNbSRJZygvrF+cPlnZHRup+qyiEgIrc0+QlbOUb5z+UDaJWjeIBGRUFq+tYSS8ir+buYgr6OISARqScGiqUs7fZnbgOcDz7sCxwNd7lpyzZB7KiufvYcqeOC64ZpoU0QkRJxz/HrlXnqlJrFgUl+v44iIRBW/3/HHj/YzrGdHZg71boUSEYlcnk66GZjx+GLqxwI29dywWXP68MkqfrtyL5cN6cbVw8+6RLaIiLSCVXtL+TT/GPdfMUjFYhGREHv/88PsO1zBfTMHUt9RWkTkwmpJwaJRSzudxy3AMudcbeD1UaCTmZ2ZW+NLrxkua04D/OeKz6n2+fnpnBFqrEVEQsQ5x3+/u5c+Xdpx8/g+5z9BREQuGOccf1iVTUbndnz14l5exxGRCNWSgsV5l3ZqhAX8dTgIzjkHfEj9vBYQ5ks4AWzMK+PVLcV889L+9E9r73UcEZGo8e6uQ+woLue7Vw4hIU6rdIuIhNL63DK2FBznW5cOIC5WbbCItI5mty6NWdrJzCaaWRFwM/Come08c76ZZVLfQ+OjBpf+IfA9M8umfk6LJ5qbsbX56vw88PpOeqcm8Z3LNdGQiEio+P31vSsGpLVn3pjeXscREYk6j6zaT9f2Cdw8QT3cRKT1NHtZU2jU0k4bqR/WcbZz8zjLhJrOuRzqVyAJe89tKGD3gRP84fZxJCe06EspIiJN8OaOA+w5dJLfLRirv+yJiITYzpJyPtpbyj9fM1TzB4lIq9JdXjMdrajm/72zh+mD0rh2ZE+v44iIRA1fnZ/fvreXoT06cp3GTYuIhNwfP8qhQ2Icd0zu53UUEYlwKlg00y///DmVNXX8dM5wTbQpIhJCr20tIaf0FP909RBiYtT+ioiEUv7RU7y1vYTbJ/cltV2813FEJMKpYNEMWwqO8adNRdwzvT+Dunf0Oo6ISNSorfPzP+/vZWR6CteM0DLSIiKh9tjHOcTFxHDPtP5eRxGRKKCCRRPV+R0PvL6THimJ/P2Vg72OIyISVV7aVERh2Wm+P2uoereJiITY4ZNVvPRpETeOz6B7SpLXcUQkCqhg0UQvbCxgR3E5/99XLqJDoibaFBEJlaraOv73g32M69uJmUO6eR1HRCTqLFmTh6/Oz7cuHeB1FBGJEipYNMGxUzX86p09XNK/C3NGaxk9EZFQen5DAQfKq/iBeleIiITciapansnK59qLe5GZ1t7rOCISJVSwaIJfvbuHk1U+Hpo7UjfLIiIhdLqmjoc/3M/kAV2YOijN6zgiIlHnmXX5nKz2cd9lA72OIiJRRAWLRtpRVM7zGwpYNCWToT010aaISCg9lZXHkYpqvj9rqNdRRESiTlVtHYtX5zFjcBoj01O9jiMiUUQFi0bw+x3/9vpndG2fyD9erYk2RURCqaLaxx8/2s9lQ7oxMbOL13FERKLOy58WcaSimvtmqneFiISWChaN8PKnRWwtPM6Prx1GSpLWmxYRCaUlq3M5VlnL964e4nUUEZGo46vz89jHOYzp04kpA7p6HUdEoowKFudRXlnLL//8ORP6deaGcelexxERiSrllbU89kkOVw/vweg+nbyOIyISdVZ8dpCCskrumzlQc7iJSMhpXc7z+O+VezhWWcNTcyepkRYRCbH/+ySHk1U+9a4QEfGAc45HVu1nYLf2XH1RD6/jiEgUUg+Lc9hZUs7T6/K5Y3I/RvTWBEMiIqF0tKKaJWty+eqoXlzUK8XrOCIiUWfV3lJ2HzjBty8bSEyM/nAnIqGngsWXcM7x4Os76ZScwPev1qz0IiKh9ujHOZyureOfrtJkxyIiXnhk1X56pSYxd4yGRYuIN1Sw+BLLthSzKf8YP5w9lNRkTbQpIhJKh09UsXRtHvPGpjOou5aSFhEJtU/zy9iQW8Y3ZgwgIU6/MoiIN9T6nMXJqlr+Y8XnjOnTiZvH9/E6johI1PnDqv34/I7vXqneFSIiXnhkVQ6dkuO5baLuhUXEOypYnMVv39vH0VPVPDR3hMbriYiEWPHx0zy3voBbJmTQr2t7r+OIiESdvYdO8t7uQyyakkn7RM3RLyLeUcGigT0HT/Lk2jxum9iXURlaQk9EJNR+/0E2APdfod4VIiJe+ONH+2kXH8udUzO9jiIiUU4FiyDOOR5c/hkdk+L4l2s00aaISKjlHz3FS5sKWTCpD+md2nkdR0Qk6hQdq2T51hIWTOpL5/YJXscRkSingkWQN7YfYF1OGT+YNVQNtIiIB/7n/X3ExhjfuXyQ11FERKLS45/kAvCNGf09TiIiooLFX1RU+/jFW7sYmZ7Cgkl9vY4jIhJ1sg9X8NqWYhZNzaR7SpLXcUREos7Rimpe2FjAvLHp9FYvNxEJAypYBPzvB/s4dKKah+aOJFYTbYqIhNxv39tLUnws37p0gNdRRETOysxmm9keM8s2sx+dZf+lZrbZzHxmdlODfb80s88Cj1uDtn9iZlsDjxIzey2wfaaZlQfte6C1P9/StXlU1fr59mVqh0UkPGjaX+r/qvfEJ7ncPD6DcX07ex1HRCTq7D5wgje3H+D+ywfRtUOi13FERP6GmcUCDwNXA0XARjNb7pzbFXRYAXAn8IMG534VGAeMARKBVWb2tnPuhHNuRtBxrwCvB536iXPuutb4PA1VVPtYmpXPrOE9GNS9YyjeUkTkvKK+h4Vzjp8u30lyQiw/vHaY13FERKLSb1bupWNSHN+cob/qiUjYmgRkO+dynHM1wAvA3OADnHN5zrntgL/BucOBj51zPufcKWA7MDv4ADNLAa4AXmutD3AuL2wooPx0Ld+eOdCLtxcROauoL1j8+bODrM4+wvdnDSVNf9UTEQm57UXHeXfXIb45YwCpyfFexxER+TLpQGHQ66LAtsbYBsw2s2QzSwMuB/o0OGYe8L5z7kTQtilmts3M3jazEc0Nfj7Vvjr+75McJg/oot7GIhJWonpISGWNj5+/uYthPTty+yWaaFNExAu/fncvnZPjuWtaptdRRERahXPuXTObCKwFSoEsoK7BYQuAx4Nebwb6OecqzOwr1Pe8GNzw2mZ2L3AvQN++zbuffX1LCYdOVPOrm0Y363wRkdYS1T0s/vDhfkrKq/j5vJHExUb1l0JExBOb8sr4aG8p375sIB2T1LtCRMJaMV/sFZER2NYozrlfOOfGOOeuBgzYe2ZfoNfFJOCtoONPOOcqAs9XAPGB4xpe9zHn3ATn3IRu3bo19TNR53f88eP9jOidwozBf3N5ERFPRe1v6blHTvHYxznMH5vOxMwuXscREYlKv353L2kdElk4JdPrKCIi57MRGGxm/c0sAbgNWN6YE80s1sy6Bp6PAkYB7wYdchPwpnOuKuicnmZmgeeTqL9vP3pBPkmQlbsOklN6ivtmDiTwdiIiYSMqh4Q45/jZGztJiIvhx5poU0TEE2uzj5CVc5QHrx9Ou4RYr+OIiJyTc85nZvcD7wCxwGLn3E4zewjY5JxbHhj2sQzoDFxvZj9zzo0A4oFPAgWBE8Adzjlf0OVvA/6zwVveBNxnZj7gNHCbc85d4M/EH1btp1/XZK4d2etCXlpE5IKIyoLFrgMnWLWnlH/96kV0T0nyOo6ISFR6cm0evVKTWDBJcwiJSNsQGJqxosG2B4Keb6R+qEjD86qoXynky6478yzbfg/8vgVxz2tnyQm2F5XzH/MvJjZGvStEJPxEZcFiRO9U3rh/OsN6aY1pERGv/G7BWHJKT5EUr94VIiJeGJmeyop/mMGAbu29jiIiclZRWbAAuDgj1esIIiJRLSk+luG9U7yOISIS1dQOi0g4i9pJN0VEREREREQkfKlgISIiIiIiIiJhRwULEREREREREQk7KliIiIiIiIiISNhRwUJEREREREREwo4KFiIiIiIiIiISdlSwEBEREREREZGwo4KFiIiIiIiIiIQdFSxEREREREREJOyoYCEiIiIiIiIiYUcFCxEREREREREJOypYiIiIiIiIiEjYMeec1xlazMxKgfxmnJoGHLnAcS4E5Wq6cM2mXE0Xrtmam6ufc67bhQ4TjprZFkfa9zsUwjVbuOaC8M2mXE3XnGxqh88vXL/nytV04ZpNuZouXLOF9J44IgoWzWVmm5xzE7zO0ZByNV24ZlOupgvXbOGaq60L169ruOaC8M0WrrkgfLMpV9OFc7a2LFy/rsrVdOGaTbmaLlyzhTqXhoSIiIiIiIiISNhRwUJEREREREREwk60Fywe8zrAl1CupgvXbMrVdOGaLVxztXXh+nUN11wQvtnCNReEbzblarpwztaWhevXVbmaLlyzKVfThWu2kOaK6jksRERERERERCQ8RXsPCxEREREREREJQypYiIiIiIiIiEjYifiChZnNNrM9ZpZtZj86y/7vmdkuM9tuZu+bWb9wyRZ03I1m5swsJMvHNCaXmd0S+LrtNLPnwiGXmfU1sw/NbEvg+/mVEOVabGaHzeyzL9lvZva7QO7tZjYuFLkame32QKYdZrbWzEaHQ66g4yaamc/MbgqXXGY208y2Bn72PwpFrkgQrm1xuLbDjc2mtvgL7xuWbXG4tsONyRZ0nNriCBCu7XBjsgUdp3viRuRSO9ysbLonbmKukLXDzrmIfQCxwH5gAJAAbAOGNzjmciA58Pw+4MVwyRY4riPwMbAOmBAOuYDBwBagc+B19zDJ9RhwX+D5cCAvRN/LS4FxwGdfsv8rwNuAAZOB9aHI1chsU4O+j9eGKtv5cgV9zz8AVgA3hUMuoBOwC+gbeN3qP/uR8AjXtjhc2+EmfM3UFn/xfcOyLQ7Xdrgx2YK+52qL2/gjXNvhxmYLHKd74sbnUjvc9Gy6J27a1ytk7XCk97CYBGQ753KcczXAC8Dc4AOccx865yoDL9cBGeGSLeDnwC+BqjDK9U3gYefcMQDn3OEwyeWAlMDzVKAkBLlwzn0MlJ3jkLnAU67eOqCTmfUKh2zOubVnvo+E8Oe/EV8zgL8HXgFC8fMFNCrX14BXnXMFgeNDlq2NC9e2OFzb4cZmU1sc/KZh2haHazsceG+1xdEjXNvhRmUL0D1x43OpHW5iNt0Tf1E4tcORXrBIBwqDXhcFtn2Ze6iv+oXCebMFukn1cc69FaJMjcoFDAGGmNkaM1tnZrPDJNdPgTvMrIj6CuTfhyBXYzT159Arofz5PyczSwfmA494naWBIUBnM1tlZp+a2UKvA7UR4doWh2s7DGqLW0NbaIvDph0GtcURJlzbYQjftljt8IXXFtphCKO2WO0wxLXWhdsaM7sDmABc5nUWADOLAf4buNPjKGcTR30XuJnUVx8/NrOLnXPHPU0FC4AnnXO/NrMpwNNmNtI55/c4V9gzs8upb5yne50l4LfAD51zfjPzOkuwOGA8cCXQDsgys3XOub3exooc4dQWh3k7DGqLI0oYtsOgtjgqhVM7DGHfFqsdjjBh2BZHfTsc6QWLYqBP0OuMwLYvMLOrgJ8AlznnqsMkW0dgJLAq8MPZE1huZnOcc5s8zAX11dD1zrlaINfM9lLfWG/0ONf/z959h1dVZQ0c/q10IAmQSiChBQiEDqEJDFJFUVRQUMHuqNhQrPNhYSwz6jDqMGIvqIhgF7ECKoqAdJBeBEIChoRIIEBIW98f95AJMUAo4dwk632ePN57zj7nrhMv+56su/fa1wMDAVR1vogEARGcweFTR1Gm96FbRKQN8BpwrqrudjseRxIw1XnvRwDniUi+qn7qblikALtVdT+wX0R+BNoCdpN8bN7aF3trP1yW2MD64hPltX2xl/bDYH1xZeKt/XBZYrN74hOPy/rhk+ClfXGV74cr+5SQRUBTEWkkIgHAZcD04g1EpD3wMjD4DM+BPGZsqpqlqhGq2lBVG+KZS3UmbpKP+zsDPsWTSUZEIvAMCfrNC+JKxpPlQ0RaAEFAejnHVRbTgaucyshdgSxV3el2UOCpIg18DFzpTd9M3GzsygAAIABJREFUqWqjYu/9D4FbvKBjBvgM6CEifiJSHegCrHU5porAW/tib+2Hjxubw/riE+OVfbG39sNgfXEl46398HFjs3vik4rL+uET5K19sfXDlXyEharmi8htwDd4qqu+oaqrReRRYLGqTgf+BQQDHziZq2RVHewlsZ1xZYzrG2CAiKwBCoB7yzsLWca47gZeFZG78BQbukbVU7a2PInIe3g+rCLEM1fwEcDfifslPHMHzwM2AQeAa8s7phOI7WEgHHjBef/nq2q5LxVWhrhccby4VHWtiHwNrAQKgddU9ZjLUBnv7Yu9tR8+gdisLy7GW/tib+2HyxibK6wvPv28tR8+gdjOOOuHT5y39sNljM3uiU8grjPZD8sZeO8aY4wxxhhjjDHGnJDKPiXEGGOMMcYYY4wxFZAlLIwxxhhjjDHGGON1LGFhjDHGGGOMMcYYr2MJC2OMMcYYY4wxxngdS1gYY4wxxhhjjDHG61jCwlR6InKRiKiINHeeNxSRYy67U5Y2xhhjysb6YWOMcZ/1xaYisoSFqQouB+Y6/zXGGHPmWT9sjDHus77YVDiWsDCVmogEAz2A64HLStl/jYh8JiI/iMhGEXmk2G5fEXlVRFaLyLciUs055q8iskhEVojIRyJS/cxcjTHGVDzWDxtjjPusLzYVlSUsTGV3IfC1qm4AdotIx1LadAaGAm2AS0UkydneFJioqi2BPU4bgI9VtZOqtgXW4un4jTHGlM76YWOMcZ/1xaZCsoSFqewuB6Y6j6dS+hC4maq6W1UPAh/jyT4DbFHV5c7jJUBD53ErEflJRH4FRgAtyyVyY4ypHKwfNsYY91lfbCokP7cDMKa8iEgY0AdoLSIK+AIKTCzRVI/y/FCxbQVANefxJOAiVV0hItcAZ5++qI0xpvKwftgYY9xnfbGpyGyEhanMLgHeUdUGqtpQVeOALUBciXb9RSTMmY93EfDzcc4bAuwUEX882WRjjDGls37YGGPcZ32xqbAsYWEqs8uBT0ps+wj4W4ltC53tK4GPVHXxcc77EPALnk583WmI0xhjKivrh40xxn3WF5sKS1RLjvwxpupwhq8lqeptbsdijDFVkfXDxhjjPuuLjbeyERbGGGOMMcYYY4zxOjbCwhhjjDHGGGOMMV7HRlgYY4wxxhhjjDHG61jCwhhjjDHGGGOMMV7HEhbGGGOMMcYYY4zxOpawMMYYY4wxxhhjjNexhIUxxhhjjDHGGGO8jiUsjDHGGGOMMcYY43UsYWGMMcYYY4wxxhivYwkLY4wxxhhjjDHGeB1LWBhjjDHGGGOMMcbrWMLCGGOMMcYYY4wxXscSFsYYY4wxxhhjjPE6lrAwxhhjjDHGGGOM17GEhTHGGGOMMcYYY7yOJSyMMcYYY4wxxhjjdSxhYYwxxhhjjDHGGK9jCQtjjDHGGGOMMcZ4HUtYGGOMMcYYY4wxxutYwsJUaCLykog8VIZ2q0Xk7DMQkjHGmKMQkR9E5Abn8TUiMtftmIwxxhjjvSxhYSo0Vb1ZVR8rQ7uWqvrDGQjJGGOMMcYYV4nIVhHZJSI1im27QUR+cB6riOwXkWwR2S0is0VkeCnnOUdEfhSRfSKSLiJzRGRwsf0xIvKqiOxwzvWbiEwSkeZn5EJNpWcJC+M6EfFzO4bKQER83Y7BGFM5WL/8P/a7MMZUYL7A6GPsb6uqwUACMAl4XkQeObxTRC4BPgDeBmKBaOBh4AJnfzgwD6gO9ARCgA7AHKD/ab4WU0VZwsKUGyez+zcRWSMif4jImyISJCJni0iKiNwvIr8Db4qIj4g8ICKbnSzv+yISVuxcPURknojsEZHtInKNs32SiDzuPI4QkRlOm0wR+UlEfIrF0s95HCgizzmZ4B3O40Bn3+HY7nay0jtF5NoyXOt5znXuE5FUEbnH2f6nIc9ORrtJsfhfEpGZzrFzRKRBsbbNnX2ZIrJeRIYV2zdJRF4UkS9FZD/Q+yT/VxljzOF+8n4RWQnsL9Hvrig+rU5Ewpw+fYfTv3/qbK/t9MPpzvYZIhJ7CjGJiDzr9Md7ReRXEWnl7CuaXuI8P6K/dfraO5xv+zJE5F+HPxOc/deJyFonzm9K9L0qIreKyEZg48nGb4wxLvsXcI+I1DpWI1XNUNV3gFHA30QkXEQEeAZ4TFVfU9UsVS1U1Tmq+lfn0LuAvcCVqrpZPfao6puq+t/yvDBTdVjCwpS3EcA5QDzQDHjQ2V4HCAMaADcCtwMXAb2AusAfwEQA5ybyK+C/QCTQDlheymvdDaQ4baKB/wO0lHZjga7OedoCnYvFdTi2mkA94HpgoojUPs51vg7cpKohQCvgu+O0L24E8BgQgee63gUQzxC+mcAUIAq4DHhBRBKLHXsF8ASejLbNBTfGnKrLgUFAY+Az4HE8ffU9wEciEum0ewfPN2ot8fRPzzrbfYA38fTt9YGDwPOnEM8A4C94Pj9qAsOA3Sdw/MVAEp5v/C4ErgMQkQvxfEYMwfOZ8RPwXoljLwK6AIkYY0zFtBj4AU8fXhafAX547o0TgDjgw2O07wd8oqqFpxCjMcdkCQtT3p5X1e2qmonnD+vLne2FwCOqekhVDwI3A2NVNUVVDwHjgEucobhXALNU9T1VzVPV3apaWsIiD4gBGjjtflLV0hIWI4BHVXWXqqYDfweuLHGeR51zfAlk4+m0jyUPSBSRUFX9Q1WXHv9XU+QLVf3Rue6xQDcRiQPOB7Y6Wep8VV0GfARcWuzYz1T1ZyfjnXMCr2mMMaWZoKrbgZHAl6r6pdO/zMRz43ueiMQA5wI3O/1dnqrOAXD6549U9YCq7sPT7/c6hXjy8CRkmwOiqmtVdecJHP+UqmaqajLwHP/7DLoZ+KdzvnzgH0C74qMsnP2ZzmeUMcZUVA8DtxdLOB+VquYBGXgS1eHO5mP1uRHA74efiMhgZ1TePhH59hRiNqaIJSxMedte7PE2PKMnANJL/IHdAPjE6eT2AGuBAjwjJeKAzWV4rX8Bm4BvnSHADxylXV0nltLiAtjt3MAedgAIPs5rDwXOA7Y50zq6lSHew4p+R6qaDWQ68TQAuhz+nTi/lxF4RoD86VhjjDkNDvcpDYBLS/Q/PfAkheOATFX9o+TBIlJdRF4WkW0ishf4EaglJ1ljR1W/wzNCYyKwS0ReEZHQk7geOLKvbwD8p9i1ZQKCZ2RdaccaY0yFpKqrgBnA0e6Li4iIP55RZ5n8bzRbzDEO2V18v6pOV9VaeKaKBJxszMYUZwkLU97iij2uD+xwHpcc+bAdOFdVaxX7CVLVVGdf/PFeSFX3qerdqtoYGAyMEZG+pTTdgedmtbS4ToqqLlLVC/EMjf4UeN/ZtR/PsGkARKROKYfHFdsfjCervQPPdc8p8TsJVtVRxV/6VOI2xpgSDvcp24F3SvQ/NVT1SWdf2FHmRN+NZ0RaF1UNxTOdAzzJgJMLSHWCqnbEMzWjGXCvs+uI/pUjk7mHHe0zaDueaXzFr6+aqs4r/tInG7MxxniZR4C/cmRStjQXAvnAQmA9nr5y6DHazwYuKl4fyJjTzd5cprzdKiKx4imgORaYdpR2LwFPHB6OKyKRzhxj8NR06Cciw0TEzykE1K7kCUTkfBFp4hQJysIzQqO0OXXvAQ86rxGBZ6jc5JO9QBEJEJERIlLTGUq3t9jrrgBaikg7EQnCM9WlpPOc4nYBeGpZLHCGZM8AmonIlSLi7/x0EpEWJxurMcaU0WTgAvEsZ+cr/yuYHOtMyfgKT02d2k7fdDgxEYKnbsUep99/5CjnLxOnz+vifOu3H8jhf/3rcmCIM6qjCZ6aQyXd68QYh6dS/uHPoJfwFJZr6bxOTRG5tJTjjTGmwlPVTXj6vztK2y+eQsoj8Ixme8qZ3qfAGOAhEblWRELFUyS/h4i84hz6DFAbeEdE4sUjBE+dOGNOC0tYmPI2BfgW+A3PtI7Hj9LuP8B0PNM59gEL8BQ7w5l7fB6eb+4y8dykti3lHE2BWXhqTswHXlDV70tp9zieudgrgV+BpceIq6yuBLY6Q6BvxjN1A1XdADzqxLWR0gtjTsFzU58JdMQzdxxn/vcAPMU2d+CZI/gUEHiKsRpjzDE5SdPDhSnT8XzLdi//u2+4Ek99iXXALuBOZ/tzQDU8c6AXAF+fYiihwKt4CjFvwzP8+F/OvmeBXCANeAunYHEJnwFL8HxufIGnQDKq+gme/nSq02+vwlOXwxhjKqtHgRoltq0QkWw8U6pvAO5S1YcP71TVD4HheAoW78DT3z6Op29FVTPwFLLPwXOPuw9PfxuCZ8URY06ZlF6T0JhTJyJbgRtUdZbbsXgrEZkEpKjqg8dra4wxpuxERIGmzjeLxhhjjKmAbISFMcYYY4wxxhhjvE6ZEhYiMlBE1ovIptJWXhCRMSKyRkRWisjs4suCicjVIrLR+bm62PYfnHMud36inO2BIjLNea1fRKThqV+mMadORFaLSHYpPyPcjs0YYyoqEel5lL412+3YjDHGGOOu404JcZYi2wD0B1KARcDlqrqmWJvewC+qekBERgFnq+pwp+DWYiAJT7XtJUBHVf1DRH4A7lHVxSVe7xagjareLCKXARer6vDTdL3GGGOMMcYYY4ypAMoywqIzsElVf1PVXGAqnkJcRVT1e1U94DxdAMQ6j88BZqrq4fXaZwIDj/N6F+IpngXwIdDXWfXBGGOMMcYYY4wxVYRfGdrUw1Md/LAUnNUbjuJ6PMudHe3Y4uv/vikiBcBHwOPO8jlFx6hqvohkAeF4Ko6XKiIiQhs2bFiGSzHGmDNryZIlGaoa6XYcZ4L1xcYYb2T9sDHGuO9k++KyJCzKTERG4pn+0asMzUeoaqqzVu9HeJZIe/sEXutG4EaA+vXrs3jx4uMcYYwxZ56IbHM7hjOlYcOG1hcbY7yO9cPGGOO+k+2LyzIlJBWIK/Y81tlWMoB+wFhgsKoeOt6xqnr4v/uAKXimnhxxjIj4ATXxrLt+BFV9RVWTVDUpMrJKJM2NMcYYY4wxxpgqoywJi0VAUxFpJCIBwGXA9OINRKQ98DKeZMWuYru+AQaISG0RqQ0MAL4RET8RiXCO9QfOB1Y5x0wHDq8mcgnwnR6vMqgxxhhjjDHGGGMqleNOCXHqSNyGJ/ngC7yhqqtF5FFgsapOB/4FBAMfOPUxk1V1sKpmishjeJIeAI8622rgSVz4O+ecBbzqtHkdeEdENgGZeBIkxhhjjDHGGGOMqULKVMNCVb8Eviyx7eFij/sd49g3gDdKbNsPdDxK+xzg0rLEdSx5eXmkpKSQk5NzqqcyLgkKCiI2NhZ/f3+3QzHGnCTri91jfagxxhhzZtl9z+m//zitRTe9SUpKCiEhITRs2BBbFbXiUVV2795NSkoKjRo1cjscY8xJsr7YHdaHGmOMMWdeVb/vKY/7j7LUsKiQcnJyCA8Pr5JvlMpARAgPD6/S2UljKgPri91hfagxxhhz5lX1+57yuP+otAkLoMq+USoL+/9nTOVg/5bdYb93Y4wx5syr6p+/p/v6K3XCwhhjjDHGGGOMMRWTJSyMMcYYY4w5RSIyUETWi8gmEXmglP03i8ivIrJcROaKSGKJ/fVFJFtE7inrOY0xpiQR4e677y56Pn78eMaNGwfAuHHjqFevHu3ataNp06YMGTKENWvWFLXNy8vjgQceoGnTpnTo0IFu3brx1VdfAZCdnc2oUaOIj4+nQ4cOdOzYkVdffZXyZgmLCmbx4sXccccdR92/Y8cOLrnkkjMYkTHGVD2TJk3itttuAzwf/uPHj3c5ImOMm0TEF5gInAskApeXTEgAU1S1taq2A54Gnimx/xngqxM8pzHGHCEwMJCPP/6YjIyMUvffddddLF++nI0bNzJ8+HD69OlDeno6AA899BA7d+5k1apVLF26lE8//ZR9+/YBcMMNN1C7dm02btzI0qVL+frrr8nMzCz367GEhcsKCgpOqH1SUhITJkw46v66devy4YcfnmpYrjnR34cxxpwIVaWwsNDtMMpNfn6+2yEYU1V1Bjap6m+qmgtMBS4s3kBV9xZ7WgPQw09E5CJgC7D6RM5pjDEl+fn5ceONN/Lss88et+3w4cMZMGAAU6ZM4cCBA7z66qv897//JTAwEIDo6GiGDRvG5s2bWbhwIY8//jg+Pp4UQmRkJPfff3+5XgtU4mVNi/v756tZs2Pv8RuegMS6oTxyQctjttm6dSsDBw6kY8eOLF26lJYtW/L222+TmJjI8OHDmTlzJvfddx9hYWE88sgjHDp0iPj4eN58802Cg4NZtGgRo0ePZv/+/QQGBjJ79myWLFnC+PHjmTFjBnPmzGH06NGAZ+jPjz/+yO7duzn//PNZtWoVOTk5jBo1isWLF+Pn58czzzxD7969mTRpEtOnT+fAgQNs3ryZiy++mKeffrrUaygoKOD6669n8eLFiAjXXXcdd911F2effTbjx48nKSmJjIwMkpKS2Lp1K5MmTeKTTz4hKyuL1NRURo4cySOPPALA5MmTmTBhArm5uXTp0oUXXngBX19fgoODuemmm5g1axYTJ06kR48ep/X/lTHGO7jZF59zzjl06dKFJUuWMGzYMGbMmMGhQ4e4+OKL+fvf/w7A22+/zfjx4xER2rRpwzvvvMPnn3/O448/Tm5uLuHh4bz77rtER0efUIwTJkzgpZdews/Pj8TERKZOncq4ceMIDg7mnns8I79btWrFjBkzAEr93KhevTpLlixhzJgxZGdnExERwaRJk4iJieHss8+mXbt2zJ07l8svv/yIYaDGmDOmHrC92PMUoEvJRiJyKzAGCAD6ONuCgfuB/sA9xZqX6ZzGGO/k1n0PwK233kqbNm247777jtu2Q4cOrFu3jk2bNlG/fn1CQ0P/1Gb16tW0bdu2KFlxJlWJhIWb1q9fz+uvv0737t257rrreOGFFwAIDw9n6dKlZGRkMGTIEGbNmkWNGjV46qmneOaZZ3jggQcYPnw406ZNo1OnTuzdu5dq1aodce7x48czceJEunfvTnZ2NkFBQUfsnzhxIiLCr7/+yrp16xgwYAAbNmwAYPny5SxbtozAwEASEhK4/fbbiYuL+1P8y5cvJzU1lVWrVgGwZ8+e417zwoULWbVqFdWrV6dTp04MGjSIGjVqMG3aNH7++Wf8/f255ZZbePfdd7nqqqvYv38/Xbp04d///vdJ/Y69UfahfOZuzMDfV+jTPKrKVws2xm0bN27krbfeYu/evXz44YcsXLgQVWXw4MH8+OOPhIeH8/jjjzNv3jwiIiKKhjj26NGDBQsWICK89tprPP300yfcVz355JNs2bKFwMDAMvWhpX1ujB49mttvv53PPvuMyMhIpk2bxtixY3njjTcAyM3NZfHixSf+izFnTG5+IenZh0jbm8OuvTmk7T1EZEggPZtGEBLk73Z45gxR1YnARBG5AngQuBoYBzyrqtknc78gIjcCNwLUr1//9AVrKpwvf91JtQBfOjcMo0ag/ZlXlYWGhnLVVVcxYcKEP/0NWZKqHnN/aZ544gk++OADdu3axY4dO042zDKpEu/ksmShyktcXBzdu3cHYOTIkUXTOYYPHw7AggULWLNmTVGb3NxcunXrxvr164mJiaFTp04ApWa6unfvzpgxYxgxYgRDhgwhNjb2iP1z587l9ttvB6B58+Y0aNCgKGHRt29fatasCUBiYiLbtm0rNWHRuHFjfvvtN26//XYGDRrEgAEDjnvN/fv3Jzw8HIAhQ4Ywd+5c/Pz8WLJkSdH1HDx4kKioKAB8fX0ZOnTocc/r7VL3HGT22jRmrd3Fgs27yS3wDDtvG1eLsee1oHOjMJcjNMZdbvbFDRo0oGvXrtxzzz18++23tG/fHvAUkNq4cSMrVqzg0ksvJSIiAoCwMM+/15SUFIYPH87OnTvJzc2lUaNGJ/zabdq0YcSIEVx00UVcdNFFx21f2ufGwIEDWbVqFf379wc8o99iYmKKjjn8mWLOvIJCZXf2IdL2epIRafs8yQhPUiKH353Hu/fnlnq8v6/QtXE4/ROj6dsimnq1jn1jabxWKlD8RirW2XY0U4EXncddgEtE5GmgFlAoIjnAkrKcU1VfAV4BSEpKOvG/PEylsHpHFre8uxQAPx+hXVwtzmoSwVnx4bSvX4tAP1+XI6x63LzvAbjzzjvp0KED11577THbLVu2jKSkJJo0aUJycjJ79+7909+eiYmJrFixgsLCQnx8fBg7dixjx44lODi4PC8BqCIJCzeVzJQffl6jRg3Ak9Hq378/77333hHtfv311+Oe+4EHHmDQoEF8+eWXdO/enW+++eZPoyyO5vC8JPAkDI4277l27dqsWLGCb775hpdeeon333+fN954Az8/v6J54Dk5OaVeY/HnqsrVV1/NP//5zz+9RlBQEL6+Fa8TLSxUVqTsYfbaXcxam8a63z0FaRpF1OCqbg3o2yKa1D0HGf/Neoa9PJ8BidHcf25z4iPL/x+2qVpEZCDwH8AXeE1VnyyxfwxwA5APpAPXqeq2YvtDgTXAp6p6m7OtIzAJqAZ8CYzWk0nBe4nife7f/vY3brrppiP2//e//y31uNtvv50xY8YwePBgfvjhh6Iq2yfiiy++4Mcff+Tzzz/niSee4Ndffz2iD4Uj+9Gj9aEtW7Zk/vz5x7w+c/qoKn8cyHOSDv8bFZHm/HfXPk9CIn3fIQpL/MsQgYjgQKJDA6lbM4h2cbWIDg2kTmgQ0aFBRIUGEhkSyNaMA8xam8bMNWk8/NlqHv5sNYkxofRLjKZ/i2ha1Qu1EXoVxyKgqYg0wpNUuAy4ongDEWmqqhudp4OAjQCq2rNYm3FAtqo+LyJ+xzunMYdNXrCNIH8f/nt5B5Ym/8G8TRk8/91GJszeSJC/D50ahnFWvCeB0apeTXx9rG+p7MLCwhg2bBivv/461113XaltPvroI7799lv+/e9/U716da6//npGjx7Nyy+/TEBAAOnp6fzwww9ceumlJCUl8eCDD/LYY4/h6+tLTk7OSY3OOFGWsChnycnJzJ8/n27dujFlyhR69OjBsmXLivZ37dqVW2+9lU2bNtGkSRP2799PamoqCQkJ7Ny5k0WLFtGpUyf27dv3p+E8mzdvpnXr1rRu3ZpFixaxbt062rVrV7S/Z8+evPvuu/Tp04cNGzaQnJxMQkICS5cuLXP8GRkZBAQEMHToUBISEhg5ciQADRs2ZMmSJXTu3PlPRT5nzpxJZmYm1apV49NPP+WNN96gevXqXHjhhdx1111ERUWRmZnJvn37aNCgwcn8Wl1zIDefnzZmMHttGt+tSycj+xA+AkkNw/i/85rTt0X0nxISg1rH8MbPW3jxh80MePZHruhcn9H9mhIRHHiUVzGm7IpVke+PZ37zIhGZrqprijVbBiSp6gERGYWnOn3xr+QfA34sceoXgb8Cv+BJWAykWPX6iuqcc87hoYceYsSIEQQHB5Oamoq/vz99+vTh4osvZsyYMYSHh5OZmUlYWBhZWVnUq1cPgLfeeuuEX6+wsJDt27fTu3dvevTowdSpU8nOzqZhw4ZFNSuWLl3Kli1bio4p7XMjISGB9PT0ou15eXls2LCBli3d/famIlJV9ubkH5mA2JfDrqJkhGd7+r5DRSPligurEUBUSCDRoUE0rxPiJCCCiHa2RYcGEREcgJ/v8ef5RoUE0blRGP93Xgs2p2cza00as9amFf2RUSc0iL4touiXGE23xuEE+Ve85H5Voar5InIb8A2e5PEbqrpaRB4FFqvqdOA2EekH5AF/4JkOcsLnLNcLMRVS1sE8Pl22g4va1aN/YjT9E6OLtv/y227mbd7NvM0ZPPX1OgBCgvzo2jic7vHhnNUkgqZRwZYcraTuvvtunn/++SO2Pfvss0yePJn9+/fTqlUrvvvuOyIjIwF4/PHHefDBB0lMTCQoKIgaNWrw6KOPAvDaa69x77330qRJE8LDw6lWrdpR6yCeTpawKGcJCQlMnDiR6667jsTEREaNGnXEN3mRkZFMmjSJyy+/nEOHDgGeN0qzZs2YNm0at99+OwcPHqRatWrMmjXriHM/99xzfP/99/j4+NCyZUvOPfdcdu7cWbT/lltuYdSoUbRu3Ro/Pz8mTZp0xMiKskhNTeXaa68t+ibw8AiJe+65h2HDhvHKK68waNCgI47p3LkzQ4cOJSUlhZEjR5KUlFR0XQMGDKCwsBB/f38mTpxYIRIWO7MOMnvtLmavTePnzbvJzS8kJNCPXgmR9GsRzdkJkdSqHnDU46sF+HJr7yYM7xTHhNkbefeXZD5Zlsqos+O5rnsjqgXYDag5JUVV5AFE5HAV+aKEhap+X6z9AmDk4SfOSIpo4GsgydkWA4Sq6gLn+dvARVSChMWAAQNYu3Yt3bp1AyA4OJjJkyfTsmVLxo4dS69evfD19aV9+/ZMmjSJcePGcemll1K7dm369OlzRGKhLAoKChg5ciRZWVmoKnfccQe1atVi6NChvP3227Rs2ZIuXbrQrFmzomNK+9wICAjgww8/5I477iArK4v8/HzuvPNOS1gcx54Dubw+dwtbdx8olozIISfvz4mIkCA/J+EQSJdGYZ4kRGhg0baoEM/IiPIaVh0fGUx8r2Bu6hXP7uxDfL8+nVlr0vhkWSrv/pJM9QBf/tI0kn6J0fRpHkVYjaN/7hh3qOqXeBK8xbc9XOzx6DKcY9zxzmlMSR8tSeFgXgEjux55X12zmj8DWtZhQMs6AKTvO8S8zRnM3+xJYsxckwZ4RoSdFR9O9ybhnBUfQVxY9TN+Deb0yc7OLnocHR3NgQMHip6PGzfumKNFAwICePrpp0tNRISGhvLyyy+f1ljLQirwCN8iSUlJWrLY2Nq1a2nRooVLEXls3bq1aMWOqmLSpEksXrz4T5m8k+XG/8fCQmXVjixmOUmK1U513/ph1T3fdLWIplPwmAAZAAAgAElEQVTDMAL8Tq5K7ub0bJ76ah3frkmjTmgQdw9oxpAOsTY0r5ISkSWqmlSO578EGKiqNzjPrwS6HJ7aUUr754HfVfVxEfEBvsOTwOiHZxTGbSKSBDypqv2cY3oC96vq+ceKxVv74orkdH9uVOXf/w/rd3HfhyvZvT+XuNrVnAREEHWcJETxURFRoYFUD/DO73By8gqY/9vuotEXaXs9I/s6NqhNvxbR9Ev888g+c6Ty7oe9SWn9sKncVJW+/55Dzer+fHJL9xM6dnvmAeZv3s3PmzOYt3k36fs8X57GhVXjrMYRnNUknG7x4USFlG3Kuanan7vFlfZ7ONm+2Ds/nY05w3LyCvh5U0ZRkmLXPs8NYYf6tbl/YHP6tYiiyWkaLhcfGcwrVyWxcEsmT3y5lns/XMkbP2/l/85rTs+mkafhaowpnYiMxDOKopez6RbgS1VNOdn3tlWnN97mQG4+//xyHe8s2Eaz6GDevLYTLevWdDuskxbk70vvhCh6J0Tx+EWtWJW6l5lr05i1Jo1/frWOf361jsYRNeiXGE2/FtF0qF+rTNNRjDGVw7zNu/ktYz/PDGt7wsfGhVUnLqw6wzrFoaps2pXNvM27+XlTBl+t2sm0xZ5VdZtFBxfVv+jSOJya1WxlI3PmWMKiHDVs2LBCja7o0qVL0bSUw9555x1at25d5nNcc801XHPNNac5svKxa28Os9d5EhRzN2WQk1dIcKAff2kWQd/m0fQu5yG3nRuF8ektZzFj5U6e+nodV76+kF7NIvnbec1pXufPq8IYcxRlqkzvzJseC/RS1cP/0LsBPUXkFiAYCBCRbDwFPIsvO3TUavdWnf5/br31Vn7++ecjto0ePfq41bmLq2ifG95mWfIfjHl/BVt37+evPRtx94CESlX3QURoHVuT1rE1GdO/Gal7DvLd2jRmrt3Fmz9v4ZUff6N2dX96N4+if4toejaLJNiWNjSmUnt7/lbCagRwXuuY47Y9FhGhaXQITaNDuPqshhQUKqt3ZBUlMKYuSmbSvK34CLSuV5Nu8RF0bxJOUoMwm95cgqpW6Zogp3sGR6X+FKvqb5YT9csvv7gdwhFO95tdVVm9Y6+nHsW6NFamZAFQr1Y1hifF0bdFNF0ah53RZZ9EhAva1mVAy2jemb+N/363ifP+8xOXdIxlTP8E6tS0IXjmuMpSmb498DKeqSO7Dm9X1RHF2lyDZ0rIA87zvSLSFU/RzauA0pfRKIOq0hdPnDjR7RCOUBmmfJZVXkEh/529kYk/bKZOaBBTbuhKt/hwt8Mqd/VqVePKbg25sltD9uXk8dPGDGatSeO7dbv4eGkqAb4+dIsPd0ZfRBFT05ZMNaYy2Zl1kJlr0rjxL/GnPTnr6yO0ia1Fm9ha3NwrnkP5BSxP3lNUwPO1n37jpTmbCfD1oX39WpzlJDDaxtXCvwqP8goKCmL37t2Eh4dXiXufklSV3bt3l3nlyrKotAmLqv5mqehO15v98Nzf2WvT+G7tLnZk5SAC7eJqce85CfRtEUVCdIjr75FAP19u6NmYSzrG8vx3m3h7/jamr9jBjT0bc2OvePuGzBxVGSvT/wvPCIoPnPd6sqoOPs6pb+F/y5p+xUkW3LS+2B3lccPgrTbt2sdd01bwa2oWQzvE8sjgREKDqt5w5ZAgf85rHcN5rWPILyhkybY/ipZMfejTVTz0KbSqF+qpe9EimpZ1bclUYyq6935JRoERXcp/Smagny9dGnumhNzVvxn7D+WzaGtmUQ2M52Zv4NlZUD3Al86Nwjgr3lPAMzEmFJ8qVKctNjaWlJQU0tPT3Q7FNUFBQcTGxh6/YRlV2qKbeXl5pKSkHLG2valYDr/Z/f1P7MYzfd8hvl+3i1nOVI8DuQVUD/ClZ9MI+raIpndCFJEh3r2k6PbMAzz9zXo+X7GDiOBA7urflOFJcTYvuQKq6sXerC92z8n2oRVFYaHy1vytPPnVOqoH+PLPIa0Z2OrUhkRXRqrK5vT9zHLqXixJ/gNViKkZVFRIult8+BkdXXimVfV+2FROufmFdH/qO1rXq8kb13RyOxz2HMhlQdESqrvZtMuzUkWt6v50bRRO7+aRnNs6pkomlI3HyfbFlTZhYaoOVWXd7/uYvTaNWWt3sSJlzxE3Y31bVNz165dv38M/vljLwq2ZNIkK5oGBzenbIsq+FatA7EbZmNNvZ9ZB7v1gJXM3ZdCneRRPDm1tVezLqPiSqT9uTOdAbgE1Anz5SzPPUt3lXb/JDdYPm8poxsod3DZlGW9e04nezaPcDudP0vbmeEZfbPKsQJK65yCBfj70T4xmaIdYejaNsC/iqhhLWFjnXCXl5BUw7OX5RfUo2sbWpG+LaPq2iCIxpnIMd1VVZq5J48mv1vFbxn66NApj7KAWtImt5XZopgzsRtmY00dVmb5iBw99uor8QuXBQYlc3jmuUvT1bjjakqk9m0by/BXtCakk34RaP2wqo2Evz2dn1kHm3NPb66dcqCorU7L4eGkK01fs4I8DeUQEB3Jhu7oM6VCv0tyzm2OzZU1NlfTN6t9ZmZLFveckcGnHWKJCK983bCLCgJZ16N08iqkLk3lu1kYGP/8zF7aryz0DEogLq+52iMYYU+72HMhl7Ker+GLlTjrUr8Wzw9vRILyG22FVaKUtmfrN6t95cc5m7v1gJS+O7GB/RBjjhdb/vo+FWzL527nNvT5ZAZ572bZxtWgbV4uxgxKZsyGdj5ak8Pb8rbw+dwvN64QwpEM9LmxXj+hKeC9vTo0lLEyF9t7CZOqHVWdUr/gK0WGfCn9fH67s1pCL2tfj5Tm/8epPv/HVqt+59qyG3NK7ia2JbYyptOZsSOe+D1ewOzuXe89J4Ka/NLahxKdZ8SVTa1bz54kv1/LKj79xU694t0MzxpQwecE2Avx8uDQp7viNvUyAMy2kf2I0ew7kMmPlTj5emsI/vlzHk1+to3uTCC7pGMuAxDq2XKoBLGFhKrDf0rNZ8Fsm9w1MqPTJiuJCgvy555wERnStz7+/3cArP/3GtMXbub1PU67s2oAAP7uJN8ZUDgdy8/nnl+t4Z8E2mkYF8/rVnWhVr6bbYVV6N/RsxLLtf/DU1+toHVuTs+Ij3A7JGOPIPpTPx0tTOL9NTIWvN1OregAjuzZgZNcGbMnYzydLU/hoaSqjpy6nRoAv57aOYUiHenRtFF6l7vXNkSxhYSqsqYu24+cjXNLx9C2bU5HE1KzG+Evbcl33Rvzzq7U8NmMNb83byv0Dm3Ne6zo2jNcYU6EtS/6DMe+vYEvGfm7o0Yh7zkmokMWTKyIR4elL2rL+933cPmUZM+7oQUzNam6HZYwBPlmWyv7cAq7s2sDtUE6rRhE1GDMggTv7NWPR1kw+XprKF7/u5MMlKdSrVY2L2tfl4vaxNIkKdjtUc4bZV7GmQjqUX8CHS1Lonxhd5SvDJ9YN5Z3ru/DWdZ2p5u/LrVOWMuTFeSzemul2aMYYc8LyCgp5ZuYGLnlpPofyCpjy1y48eH6iJSvOsOBAP16+siM5eQXc8u5ScvML3Q7JmCpPVXln/lZa16tJu7jKWXzdx0fo0jicpy5pw6Kx/ZhweXuaRgfz4g+b6ffMHC6c+DNvz9/KH/tz3Q7VnCGWsDAV0rer08jcn8vlneu7HYrX6NUski9H9+TpoW3Ysecgl7w0n5vfWcKWjP1uh2aMMWWyaVc2Q1+cx4TZG7mwXV2+vusvNh3BRU2iQnj6krYsS97DE1+scTscY6q8hVsy2ZCWzZVdG1SJkbTVAnwZ3LYuk67tzIK/9eXBQS3IzS/k4c9W0/kfs7jx7cV8vep3DuUXuB2qKUc2JcRUSO8tTCa2djV6NLEb2eJ8fYRhneI4v20Mr/20hZfnbGbW2jRGdKnPHX2bEh4c6HaIxhjzJ4WFylvzt/LkV+uoHuDLiyM6cG7rGLfDMsCgNjEsS27Ea3O30L5+bS5qX8/tkIypst5ZsI3QID8uaFvX7VDOuKjQIG7o2ZgbejZmzY69fLIshU+X7+DbNWnUqu7PBW08S6S2i6tVJZI5VYklLEyFsyVjP/M27+bec6pWsc0TUT3Ajzv6NuXyzvV5btYGJv+SzMdLUxnVO57rujeyodXGGK+xM+sg936wkrmbMuidEMlTQ9tUyiWqK7L7z23OytQsHvh4JQl1QmgRE+p2SMZUObv25fD1qt+5+qyGVX71jMS6oSTWTeT+gc2ZuymDj5em8v7i7byzYBuNI2owpEM9Lmpfj9ja1d0O1ZwGNiXEVDhTFyXj6yNcWkWLbZ6IyJBAnri4Nd/c2ZMujcN4+uv19Bn/A58sS0FV3Q7PGFPFfbY8lXOe/ZGlyX/wj4tb88Y1nSxZ4YX8fX14/or2hAb5M2ryErIO5rkdkjFVzrSF28kvVEZWsmKbp8LP14ezE6KYcHl7Fj/Yj6eHtiEyJJDx326gx1PfM/zl+by/aDv7cqzPqsgsYWEqlNz8Qj5cnEK/FlF2U3sCmkSF8NrVnXjvr10JDw7krmkr+HzlTrfDMsZUUXsO5HLblKWMnrqcJlHBfHlHT67oUt+G8XqxqJAgJo7oQMofB7nngxUUFlrS25gzJb+gkCkLk+nZNIJGETXcDscrhQT5M6xTHNNu6sZP9/Xm7v7N2LXvEPd9tJKkx2dxx3vL+GH9LvILrIBwRWMJC1OhzFyTxm4rtnnSusWH8+mt3WkTW5PHZ6yxjLMx5oybsyGdc577ka9X/c695yTw/k3daGg34BVCp4Zh/N95LZi5Jo0X52x2OxxjqoxZa3exMyun0i1lWl7iwqpze9+mfHd3Lz655SyGJcUxZ0M617y5iG5PfscTX6xh7c69bodpysgSFqZCeW9hMvVqVaNn00i3Q6mwfH2Exy5sRXr2IZ6btdHtcIwxVcTB3AIe/mwVV7+xkNAgfz69tTu39m6Cn6/dilQk13ZvyAVt6/Lvb9czd2OG2+EYUyVMXrCNujWD6NM8yu1QKhQRoX392jx2USsWju3LSyM70j6uFpPmbeXc//zEuf/5ibfnb7Vp0l7O7hJMhbFt937mbsrgsk5x+FqxzVPSNq4Wl3Wqz6R5W1n3u2WYjTHla/n2PQya8BNvz9/G9T0a8fntPWhVr6bbYZmTICI8OaQ18ZHB3DF1Gal7DrodkjGV2ub0bOZuyuCKLvUtwXsKAv18GdiqDq9clcQv/9ePRy9siZ+P8PBnq/lhfbrb4ZljsHe9qTCmLtruKbaZFOd2KJXCfeckEBrkx8OfrrbMsjGmXOQVFPLMzA0MfXEeOXkFTLmhCw+dn2grFVVwNQL9eOnKjuTmF3LL5CUcyi9wOyRjKq13FyTj7ysM72TToU+XsBoBXNWtIR+NOovQID8+X7HD7ZDMMVjCwlQIufmFfLB4O32aR1GnphXbPB1q1wjggXObs3BrJp8sS3U7HGNMJbNpVzZDX5zHhNkbubBtXb668y+c1STC7bDMaRIfGcz4S9uwIiWLRz9f43Y4xlRKB3Lz+WDJds5tFUNkSKDb4VQ6AX4+DGxVh2/XpJGTZ4lXb1WmhIWIDBSR9SKySUQeKGX/GBFZIyIrRWS2iDQotu9qEdno/FztbKsuIl+IyDoRWS0iTxZrf42IpIvIcufnhtNxoaZim702jYzsXK6wYpun1aUd42hfvxb/+HKtLVNnjDktCguVST9vYdCEn0jOPMALIzrwzPB21Kzm73Zo5jQb2CqGm3o15t1fkvlwSYrb4RhT6UxfvoN9Oflc2c2KbZaX89vUJftQvk0L8WLHTViIiC8wETgXSAQuF5HEEs2WAUmq2gb4EHjaOTYMeAToAnQGHhGR2s4x41W1OdAe6C4i5xY73zRVbef8vHbyl2cqiykLk6lbM4i/NLNim6eTj1OAM3N/Ls98u97tcIwxFdzOrINc9cZCxn2+hm7x4Xx75184r3WM22GZcnTvgAS6NQ5n7Ce/snpHltvhGFNpqCpvz99G8zohJDWoffwDzEk5Kz6csBoBzFhp00K8VVlGWHQGNqnqb6qaC0wFLizeQFW/V9UDztMFQKzz+BxgpqpmquofwExgoKoeUNXvnWNzgaXFjjHmCNszD/DTxgyGd6pvxTbLQat6NRnZtQHvLNjGqlS72TTGnJzPlqdyzrM/smTbHzxxcSvevKYTUaE2ha+y8/P1YcLl7aldPYCbJy8h64CN1jPmdFi2fQ9rdu5lZNcGiNj9b3nx8/Xh3FZ1mL12Fwdy890Ox5SiLAmLesD2Ys9TnG1Hcz3wVVmPFZFawAXA7GKbhzrTSz4UEauwWMVNXZSMj8CwTpbTKi93D0ggrEYAD322isJCK8BpjDkxk37ewuipy4mPCubL0T0Z0cVusKuSyJBAJo7owO9ZOdz1/nL7HDHmNHhn/jaCA/24qP2x/uwyp8P5bepyMK+A2Wt3uR2KKcVpLbopIiOBJOBfZWzvB7wHTFDV35zNnwMNneklM4G3jnLsjSKyWEQWp6fbnKPKKq+gkPcXp9CneRQxNau5HU6lVbOaP387twXLkvfYPGRjzAlRVSb/kkz7+rX44KZuNIqo4XZIxgUdG9TmofMT+W7dLp7/fpPb4RhToe3OPsQXK3cytEM9ggP93A6n0uvcKIyokECbFuKlypKwSAWKj3KIdbYdQUT6AWOBwap6qIzHvgJsVNXnDm9Q1d3Fjn8N6FhaUKr6iqomqWpSZKTVNaisZq9NI33fIS63YpvlbkiHenRqWJsnv17HngO5bodjjKkg1v2+j027shnSvh5+vrb4WFV2ZdcGXNy+Hs/O2sCcDfZlkjEn6/3FKeQWFDKyqxXbPBN8fYTzWsfw/fp09uXYtDZvU5Y7i0VAUxFpJCIBwGXA9OINRKQ98DKeZEXxsTTfAANEpLZTbHOAsw0ReRyoCdxZ4lzFq3MNBtae2CWZymTKwu3E1AyilxXbLHciwqMXtiLrYB5Pf2MFOI0xZfP5ih34+gjnWnHNKk9E+MfFrUmIDmH01GVszzxw/IOMMUcoKFTe/WUbXRuH0TQ6xO1wqowL2tYlN7+QmWvS3A7FlHDchIWq5gO34Uk0rAXeV9XVIvKoiAx2mv0LCAY+cJYine4cmwk8hifpsQh4VFUzRSQWz2iMRGBpieVL73CWOl0B3AFcc7ou1lQsnmKb6QxLirNv7c6QFjGhXN2tIe8tTGbF9j1uh2OM8XKqyucrd3BWfDgRwYFuh2O8QLUAX14a2ZGCQuWWd5eSk1fgdkjGVChzNuwi5Y+DXNm1oduhVCkd6teiXq1qzFi50+1QTAll+itQVb9U1WaqGq+qTzjbHlbVw4mJfqoaXWwp0sHFjn1DVZs4P28621JUVVS1RcnlS1X1b6raUlXbqmpvVV13+i/bVATTFm1HgGGdrO7qmXRX/6ZEBAfy0GerKLDCacaYY1iRksX2zINc0Lau26EYL9IwogbPDGvHr6lZjJu+2u1wjKlQ3p6/jaiQQAa0jHY7lCpFRDi/TQw/bki3qdFexr62Nl7JU2xzO2cnRFGvlhXbPJNCgvx5cFALVqZkMXVRstvhGGO82PTlOwjw9eGclnXcDsV4mf6J0dzaO56pi7YzzT5LjCmTbbv3M2dDOpd3ro+/jS4+485vU5f8QuWb1b+7HYopxv4lGK/03bpd7LJim64Z3LYu3RqH8/TX69mdfej4BxhjqpyCQmXGyh30SoikZjV/t8MxXmhM/wR6NIngoc9W82tKltvhGOP1pvySjI+I3f+6pFW9UBqEV+fzFTYtxJtYwsJ4pfcWJhMdGkjvBCu26QZPAc6W7D+Uz9NfWwFOY8yfLdqaya59h2w6iDkqXx/hP5e1I6JGAKPeXcIf+22YtTFHk5NXwLTF2xmQGE2dmkFuh1MliQgXtKnLvM0ZZNgXdl7DEhbG66T8cYA5G9IZbsU2XdU0OoTrezRi2uLtLNn2h9vhGGO8zPQVO6jm70u/FlFuh2K8WHhwIC+M7MiuvYe4c9pyq41kzFF8sXInew7kcaUtZeqq89vGUKjw1SqbFuIt7K9B43XeX7QdsGKb3uCOvk2pExrEQ5+uIr+g0O1wjDFeIq+gkK9+3Um/xGiqB/i5HY7xcu3iavHI4ETmbEhnwuyNbodjjFd6e8E24iNr0C0+3O1QqrSE6BCaRgXz+YodbodiHJawMF4lv6CQaYu306tZJLG1q7sdTpVXI9CPh85PZM3Ovbz7ixVN81YiMlBE1ovIJhF5oJT9Y0RkjYisFJHZItLA2d5ARA4vLb1aRG4udswPzjmXOz/2Nbop8vOmDP44kMcFbWLcDsVUEFd0rs/QDrH8Z/ZGvluX5nY4xniVlSl7WLF9D1d2bYCIuB1OleZZLaQui7Zm8ntWjtvhGCxhYbzM9+vTSdtrxTa9yXmt69CzaQTjv11P+j6bz+dtRMQXmAicCyQCl4tIYolmy4AkVW0DfAg87WzfCXRT1XZAF+ABESlekGBEsaWnd5XrhZgKZfqKHYQE+dHL6gyZMhIRnri4FYkxodw5dTnJuw+4HZIxXmPygm1U8/dlSMdYt0MxeKaFqMIXv1rxTW9gCQvjVd5bmExUSCB9mtuXud5CRPj74Jbk5BXwz6/Wuh2O+bPOwCZV/U1Vc4GpwIXFG6jq96p6+K+DBUCssz1XVQ9noQKxzwRTBjl5BXy7Oo2BLesQ6OfrdjimAgny9+WlkR0BuHnyEnLyClyOyBj3ZR3I47PlO7iofT1Cg2zFJW8QHxlMYkwoM1batBBvYDenxmuk7jnID+t3MSwpztae9jKNI4O58S+N+XhpKgu3ZLodjjlSPWB7secpzrajuR746vATEYkTkZXOOZ5S1eKfzm8600EeEhujahw/rE8n+1C+rQ5iTkr98Oo8d1k71uzcy4OfrkLVinCaqu2DJds5lF9oxTa9zPltY1iWvIftmTYazG32V6HxGu8v2o4Cw63Yple6rXdT6tWqxkOfriLPCnBWSCIyEkgC/nV4m6pud6aKNAGuFpFoZ9cIVW0N9HR+rjzKOW8UkcUisjg9Pb18L8B4hc9X7iC8RgBnWWE4c5L6NI/mjr5N+XBJCu8t3H78A4yppAoLlckLtpHUoDaJdUPdDscUc0EbT1LepoW4zxIWxivkFxTy/uLt9GwaSVyYFdv0RtUCfHn4gkTWp+3jrXlb3Q7H/E8qUDzLF+tsO4KI9APGAoOLTQMp4oysWIUnOYGqpjr/3QdMwTP15E9U9RVVTVLVpMhIq2dQ2e0/lM/stWmc1zrGlp02p2R036b8pVkk46avZsX2PW6HY4wr5m7KYOvuA1zZzUZXeJu4sOq0jatl00K8gN1tGK8wZ0M6O7NyuKKzja7wZgMSo+mdEMlzszaSttcqJ3uJRUBTEWkkIgHAZcD04g1EpD3wMp5kxa5i22NFpJrzuDbQA1gvIn4iEuFs9wfOx5PMMFXcrLVp5OQV2nQQc8p8fYT/DG9HZEggoyYvIXN/rtshGXPGvbNgG+E1AhjYqo7boZhSXNAmhlWpe9mSsd/tUKo0S1gYr/DewmQiggPp2yL6+I2Na0SEcYNbkltQyBNfWAFOb6Cq+cBtwDfAWuB9VV0tIo+KyGCn2b+AYOADpybF4YRGC+AXEVkBzAHGq+qveApwfuPUtliOZ8TGq2fuqoy3+nzFDmJqBpHUoLbboZhKoHaNAF4a2ZGM/bnc8d4yCgqtnoWpOlL3HGT22jSGd4qzAsZeapCzdPeMFTbKwk2WsDCu25l1kO/W7WJYUqwV26wAGoTXYFSveKav2MG8TRluh2MAVf1SVZuparyqPuFse1hVpzuP+6lqdLElSgc722eqahtVbev89xVn+35V7ehsa6mqo1XVyvlXcXsO5DJnQzrnt4nBx8dqsJrTo3VsTR67sCVzN2Xw7MwNbodjzBnz3i/JAFzRpb7LkZijialZjU4NazNjpdWxcJP9dWhc9/6iFAoVLutkHXZFMerseOqHVeehz1aRm28FOI2pCr5Z/Tt5BWrTQcxpN7xTfYYnxfH895uYuSbN7XCMKXeH8guYuiiZPs2jia1ttdu82QVt67I+bR8b0va5HUqVZQkL46qCQmXaomR6No2gfrh12BVFkL8v4wYnsjl9P2/8vMXtcIwxZ8DnK3bSILw6revVdDsUUwn9/cKWtK5XkzHvL2erzRc3ldzXq34nIzvXim1WAOe2isFHbFqImyxhYVz144Z0dmTlcEVnG11R0fRpHk3/xGj+M2sjO/YcdDscY0w52rUvh3mbM7igTV1EbDqIOf2C/H15YUQHfH2Emycv4WCuzUIzldfkBdtoEF6dnk0i3A7FHEdkSCDd4sP5fOVOVK3OjhssYWFcNcUpttkv0YptVkQPn5+Iojz+xRq3QzHGlKOvfv2dQoXB7Ww6iPl/9u49vsryzvv955fzgSSQA5CEQ0JAkEPCGUI9gFWLCtiDttpq7fmgzsyzu+d5pn06T7u30772numzn5n2qVqdmR5Gq06ltQpi1SJ4KCAQJIGASBIgCQkkIQkJCTmua/+RhY0UZAWS3Ovwfb9eebnWte775rte6HLld1/X7xo5k9OT+JfPzOfQyXb++3P79MuBhKWD9W3sOtrCPcumqh9QiFhTmMORpg7K69q8jhKRVLAQz5w43cVr7zZwp5pthqzJ6Uk8uGo6m/ad4I33Gr2OIyIjZENpHTMnpHDVhBSvo0iYWzlzPP/lo1fx3DvHeXLHMa/jiAy7J3ccIz4mijsXT/I6igRo9ZyJxEQZG8q0LMQL+i1RPPPs7hr6fY67lkz2Oopcga9eN438zGS+/0I53X2awisSbo63nmX3sRbWFmV7HUUixF/dMJ1VM7N4aOMB9lS3eB1HZNi0dfXy3DvHWVeUw9ikOK/jSIDGJcdxzYxMXtSyEE+oYCGe6Pc5ntlVwzXTM5makex1HLkC8THR/N/r5nCkqYN/faPK6zgiMhJNz/oAACAASURBVMzONRrT7iAyWqKijH/5zAImpiVw/5N7aDrT7XUkkWHx3J7jdPb0q9lmCFpTmENty1n21rR6HSXiqGAhnnjzcCPHW89yt5pthoXrrsri1nkT+emWCmqaO72OIyLDaENZHUWT0lRcllGVlhTLo59bREtnD3/11Dv09WsLbQltzjme2HGMoklpFE4a63UcGaKb50wgLjqKDaX1XkeJOCpYiCee3llNRnIcN6nZZtj4+9tmE2XGQxvVgFMkXFQ1nmH/8TbNrhBPzM1N44efmMf2qlP8z1fe8zqOyBXZUdVMRcMZ7lmu2RWhKDUhlutnZvHivjp8Pi0LGU0qWMioa2jr4o8HG7hj8STiYvSvYLjIGZvIX390Bq8eOMlr7570Oo6IDIMNpfWYDUyFFfHCHYsm8dllU/jZ65X8Yf8Jr+OIXLYndhxlbFKsCsAhbE1hNifbutl1tNnrKBFFvy3KqHu2pNbfbFPLQcLNlz6Sz/TxY/j+C+V09aoBp0goc87xQulxluSlMzEtwes4EsG+v3Y2RZPS+NtnS6lqPON1HJEhO9nWxcvlJ/n04skkxEZ7HUcu041XTyAhNoqNZVoWMppUsJBR5fM5nt5ZzYqCDPIztR463MTFRPHQ7XOoaT7Lo1srvY4jIlfg3RPtVDZ26G6geC4+JppH7llEQmwU26tOeR3ngsxstZkdMrMKM/v2BV7/hpntM7O9ZvaWmc32jy/1j+01s1Iz+8Sgc44OOmf3aL4fGV5P76ym3+f43DLdrAtlyfExfHTWBF7aX6++OqNIBQsZVW9VNFHbomab4WxFQSbrinJ49PVKjp3q8DqOiFymF0rriI4ybp070esoIuSOTWTz/7mSzy0LvvX/ZhYNPAzcAswG7j5XkBjkKefcPOfcfOCfgP/lH98PLPaPrwYeM7OYQeetcs7Nd84tHtl3ISOlt9/H0zuruf6qLDUvDgNri7JpOtPDjiotCxktKljIqHp6ZzXpyXHcPEfNNsPZd2+7mrjoKL7/Qrn2qxYJQc45NpTW8ZHpmWSMifc6jggAaYmxXke4mKVAhXOuyjnXAzwD3D74AOdc26CnyYDzj3c65/r84wnnxiV8/PHASU62dXOvmm2GhZUzx5McF83Gsjqvo0QMFSxk1DS0d/HqgZPcsWgS8TFavxfOJqQm8F9unMHWQ428ckANOEVCzd6aVmpbzrK2MNvrKCKhIBeoGfS81j/2AWb2gJlVMjDD4q8HjS8zs3JgH/CNQQUMB7xiZiVm9rURSy8j6j+2HyN3bCKrZo33OooMg4TYaG6aPYGX9p+gp0/LQkaDChYyataX1NLnc9y1ZLLXUWQU3Lcij5kTUnhowwHO9qgBp0goeaG0jrjoKG6eo+UgIsPFOfewc64A+Dvg7weNv+2cmwMsAb5jZue63F7jnFvIwFKTB8zsugtd18y+Zma7zWx3Y2PjCL8LGYqKhna2V53ic8unEB1lXseRYbK2KIfTZ3v5U0WT11EiggoWMip8PsczO2tYPi2daVljvI4joyA2Oop/+Phcjree5adbDnsdR0QC1O9zvFhWz8qZWcE8BV8kmBwHBt+NmeQfu5hngI+fP+icOwicAeb6nx/3/7MBeI6BpSd/wTn3uHNusXNucVZW1mW9ARkZT+6oJi46ik8v1s26cHLtjCxSE2LYoGUho0IFCxkV2ypPUd3cqWabEWZpfjqfXJjL429UUamt6ERCws4jzTS0d2t3EJHA7QJmmFm+mcUBdwEvDD7AzGYMenobcNg/nn+uyaaZTQVmAUfNLNnMUvzjycDNDDTolBDR0d3Hb0tquXXeRDLVCyisxMVEsXruRF4pP0lXr2YRjzQVLGRUPL2zmnFJsXxM04sjznduuZqE2Gj+LzXgFAkJG8rqSIyN5qNXa721SCD8PSceBF4GDgK/cc6Vm9lDZrbOf9iDZlZuZnuBbwH3+cevAUr9488B9zvnmoAJwFtmVgrsBF50zv1hFN+WXKHn99bR3t3HvcVqthmO1hTmcKa7j9ff0zKskRZz6UNErkxjezcvl5/gCyvySIhVs81Ik5USz9/ePJPvv1DOpn0nuE1N/ESCVm+/j5f21XPT7AkkxekrgkignHObgE3njX1v0OO/uch5TwBPXGC8Ciga5pgySpxz/Mf2o8zOTmXhlHFex5ERsKIgg/TkODaU1umG7AjTDAsZcb/d42+2qeUgEetzy6YwOzuVf9h4gI7uvkufICKeeKuiiZbOXi0HERG5AiXHWnj3RDv3Fk/FTM02w1FMdBS3zJ3I5oMNdPbou+1IUsFCRtRAs81qluanM328mm1Gqhh/A84TbV38ZLMacIoEqw2ldaQmxHDdVZleRxERCVlP7DhGSnwMt89X8TecrSnM4WxvP6+92+B1lLAWUMHCzFab2SEzqzCzb1/g9W+Z2QEzKzOzzf6mQedeu8/MDvt/7hs0vsjM9vmv+RPzlx/NLN3MXvUf/6qZaR5VCNtRdYqjpzr5rGZXRLxFU8fx6cWT+Pe3jvDeyXav44jIebp6+3ml/CSr504kPkbL90RELkfTmW427avnU4smaWldmFuan874lHg2lGq3kJF0yYKFmUUDDzOwB/Rs4G4zm33eYe8Ai51zhcB64J/856YD3weWMbAV0/cHFSAeBb4KzPD/rPaPfxvY7JybAWz2P5cQ9dTOatISY1k9V2u7BP5u9SyS42P43vP71YBTJMhsPdTAme4+LQcREbkC/7mrht5+xz3L1Wwz3EVHGbfOy2bLoUbau3q9jhO2AplhsRSocM5VOed6GNg7+vbBBzjntjjnOv1PdzCw/zTAx4BXnXPNzrkW4FVgtZllA6nOuR1u4LeW/+DP+1HfDvzK//hXXGCfagkNp84MNNv81MJJarYpAGSMiee/rZ7JjqpmXlA1WiSobCitJyM5juJpGV5HEREJSf0+x1NvV/OR6RlaCh0h1hbl0NPn49UDJ72OErYCKVjkAjWDntf6xy7my8BLlzg31//4Qtec4Jyr9z8+wcC2Tn/BzL5mZrvNbHdjo7aTCUa/3VNLb7/j7qWTvY4iQeSuJVMonJTGD148qGq0SJA4093HHw+e5NZ52cREq72ViMjleO3dBo63nuVeza6IGAunjCV3bCIby+ovfbBclmH9VmJm9wCLgR8Nx/X8sy8uOG/cOfe4c26xc25xVlbWcPxxMoycczy9s4YleeOYMSHF6zgSRKKjjH+4fS5NZ7r551fVgFMkGPzxwEm6+3ysU4M4EZHL9sSOY0xIjefGqy94v1XCkJlxW2E2bx5upLWzx+s4YSmQgsVxYPAt8kn+sQ8wsxuB7wLrnHPdlzj3OH9eNnL+NU/6l4zg/6faroagHVXNHGnq4G4125QLKJo8lruXTuFX249ysL7N6zgiEW9DaR3ZaQksmqI+1yIil+NoUwdvvNfIZ5dO1Uy1CLO2MIfefsfL5Se8jhKWAvmvaRcww8zyzSwOuAt4YfABZrYAeIyBYsXgAsPLwM1mNs7fbPNm4GX/ko82M1vu3x3k88Dz/nNeAM7tJnLfoHEJIU/vrCY1IYZb52V7HUWC1H/72EzSEmP5H79XA04RL7V29vDG4UbWFGYTFWVexxERCUm/fvsYMVGmpdARaG5uKlMzkrQsZIRcsmDhnOsDHmSg+HAQ+I1zrtzMHjKzdf7DfgSMAZ41s71m9oL/3GbgHxgoeuwCHvKPAdwP/BtQAVTy574X/y9wk5kdBm70P5cQ0tzRwx/2n+CTarYpH2JsUhzfXj2L3cda+O2ev5i0JSKj5A/7T9Db71hX9GHtqURE5GLO9vTzm921fGzuRManJngdR0aZmbG2MIc/VTTRdKb70ifIkAS0ObBzbhOw6byx7w16fOOHnPtz4OcXGN8NzL3A+Cngo4HkkuD0uz219PT7tBxELumORZN4Zlc1/8+mg9w0ewJpibFeRxKJOBvK6sjLSGJubqrXUUREQtKGsjpOn+1Vs80ItqYom59uqeCl/Sf078Ew0wIrGVbOOZ7aWc2iqeOYOVHNNuXDRUUZD90+l5bOHv6/Vw55HSdkmdlqMztkZhVm9u0LvP4tMztgZmVmttnMpvrHp5rZHv/MuHIz+8agcxaZ2T7/NX/iX74nYaahvYvtladYW5SD/opFRC7PkzuOMWP8GJblp3sdRTwyc0IK08ePYUNpnddRwo4KFjKsdh5ppqpRzTYlcHNz07h3+VSe3HGM/cdPex0n5JhZNPAwcAswG7jbzGafd9g7wGLnXCGwHvgn/3g9UOycmw8sA75tZue2iXgU+Coww/+zekTfiHhiU1k9PgfrirQ7iIjI5SitaaWs9jT3Fk9V4TeCnVsWsutoMyfburyOE1ZUsJBh9fTOalISYrhNzTZlCL5180zSk+P4+9/vx+dTA84hWgpUOOeqnHM9wDPA7YMPcM5tcc51+p/uwL9Lk3OuZ9CuTvH4/5/g36Ep1Tm3w7+99H8AHx/5tyKjbUNZPbMmpmj7aRGRy/TEjmMkx0XziQXqAxTp1hRl4xy8qOabw0oFCxk2LR09bNp/gk8uyCUxTs02JXBpibF855ar2VvTym/31HodJ9TkAjWDntf6xy7my/y5yTFmNtnMyvzX+EfnXJ3//MF/ERe9ppl9zcx2m9nuxsbGy3wL4oXalk5KjrWwVrMrREQuS0tHDxtK6/jEwlxSEtSHK9IVZI1hdnYqG8q0LGQ4qWAhw+Z37xynp8/H3cu0HESG7pMLc5mWlcwGVaVHjJndAyxmYGcnAJxzNf6lItOB+8xswlCu6Zx73Dm32Dm3OCsra3gDy4g6t/3a2kIVLERELsezJTV09/m4R00WxW9NUTbvVLdS09x56YMlICpYyLBwzvH0zmoWTBnLrInqNC9DZ2ZcOz2TXUea6enzeR0nlBwHBm/6Psk/9gFmdiPwXWDdoGUg7/PPrNgPXOs/f9KlrimhbUNpHUWTxzIlI8nrKCIiIcfnczy5o5qleen67ivvWzNv4CbAi/t0A264qGAhw2L3sRYqGs6o2aZckeKCDM729lNW2+p1lFCyC5hhZvlmFgfcBbww+AAzWwA8xkCxomHQ+CQzS/Q/HgdcAxxyztUDbWa23L87yOeB50fn7choqGw8Q3ldG2sL1W9IRORyvHG4kermTu4p1uwK+bMpGUkUTR7LRi0LGTYqWMiweOrtalLiY1ijL79yBZblZ2AG2ytPeR0lZDjn+oAHgZeBg8BvnHPlZvaQma3zH/YjYAzwrH8L03MFjauBt82sFHgd+J/OuX3+1+4H/g2oACoZ1PdCQt+G0jrMYI2Wg4iIXJYnth8jc0w8q+dM9DqKBJm1hdnsP97GkaYOr6OEhRivA0joa+3s4cV99Xxm8WSS4vSvlFy+cclxXD0xlW2Vp/irj87wOk7IcM5tAjadN/a9QY9vvMh5rwKFF3ltNzB3GGNKkHDOsaG0jqV56UxMS/A6johIyKlp7uS1Qw08uGo6cTG6/ysfdFthNj948SAbS+v0fXYY6L8wuWK/2+NvtqnlIDIMigsyKKluoau33+soImHpYH07lY0d2h1EROQyPbWzGgN995ULyk5LZEneuPebW8uVUcFCrsi5ZptFk8cyO0cNh+TKrSjIoKfPx57qFq+jiISlDWV1REcZt8zVNGYRkaHq7uvnP3fVcOPVE8gZm+h1HAlSa4tyOHSynfdOtnsdJeSpYCFXpORYC4cbzvDZpZMvfbBIAJbkpxNlsEN9LESG3bnlINdMzyRjTLzXcUREQs7G0nqaO3q4V8025UPcMjebKIONpWq+eaVUsJAr8tTOasbEx6hxmwyb1IRY5uWmsb1KBQuR4fZOTSu1LWe1HERE5DL4fI6fvV7JzAkpfKQg0+s4EsSyUuJZPi2DjWX1OOe8jhPSVLCQy3a6s5cXy+q5fX4OyfFqtinDp7ggk701rXT29HkdRSSsbCitIy4mipvnTPA6iohIyPnjwZMcbjjD/asKiIoyr+NIkFtblENVUwfldW1eRwlpKljIZXvunVq61WxTRkBxQQa9/Y7dR9XHQmS49PscG8vqWTUzi9SEWK/jiIiEFOccD2+tZEp6ErfNy/Y6joSA1XMmEhNlar55hVSwkMsy0GyzhsJJaczNTfM6joSZJXnjiIkytqmPhciwefvIKRrbu7UcRETkMmyvPEVpTStfv34aMdH6FUoubVxyHNfMyGRjWZ2WhVwB/dcml2VPdSuHTrZrdoWMiKS4GOZPHqs+FiLDaENpPUlx0dwwa7zXUUREQs7DWyvISonnUwsneR1FQsiawhxqW86yt6bV6yghSwULuSxP76wmOS5ad+pkxBQXZLCvtpW2rl6vo4iEvJ4+Hy/tr+fGqyeQFKeeQyIiQ7G3ppU/VZziq9fmkxAb7XUcCSE3z5lAXHSUloVcARUsZMhOn+1lY1kd6+bnMkbNNmWEFBdk4HOw60iz11FEQt6fKppo7exlnYrMIiJD9siWCtISY/nsMm1lKkOTmhDL9TOzeLGsHp9Py0IuhwoWMmTP7z1OV6+Pz2o5iIyghVPGERcTxXb1sRC5YhtK60hNiOHaq7QNn4jIUBw+2c4rB05y34o83aiTy7KmMJsTbV3sPqZm8pdDBQsZEuccT71dzdzcVOZNUrNNGTkJsdEsmjJOjTdFrlBXbz8vl59g9dyJxMdoKrOIyFA8urWSxNhovrgiz+soEqJuvHoCCbFRbCit8zpKSFLBQoZkb00r755Qs00ZHcUFGRw80UZrZ4/XUURC1pZ3G+jo6WddUa7XUUREQkpNcyfPl9bx2WVTGJcc53UcCVHJ8TF8dNYEXtpfT1+/z+s4IUcFCxmSp3dWkxQXrXXQMiqKCzJwDnZUqY+FyOXaUFZH5pg4lk9L9zqKiEhIefyNKqIMvnJtvtdRJMStKcym6UwPb6s325CpYCEBa+vqZUNpPeuKckhJiPU6jkSAokljSYyNZntlk9dRRELSme4+Nh9s4NZ52cRE63/5IiKBamjv4j931/CphZPITkv0Oo6EuFWzxpMcF61lIZdB314kYM/vreNsb7+Wg8ioiYuJYnHeOLZXqY+FyOV49cAJuvt8mhUnIjJEP3/rKH39Pr5+fYHXUSQMJMRGc9PsCfyh/AQ9fVoWMhQqWEhAzjXbnJ2dSqGabcooWlGQyXsnz9DY3u11FJGQs6G0npy0BBZOGed1FBGRkHH6bC9P7jjGrfOyyc9M9jqOhIm1RTm0dvbypwrNHB4KFSwkIGW1pzlY38bdy6ZgZl7HkQhSXJABwA7NshAZktbOHt54r5E1RTlERelzW0QkUE9sP8qZ7j7uXznd6ygSRq6dkUVqQgwbyrQsZChUsJCA/GZ3DQmxUdw+X9OKZXTNzUllTHyMloWIDNFL+0/Q53OsLdTntohIoM729PPzPx1l1cwsZuekeh1HwkhcTBSr507k1fKTdPX2ex0nZKhgIZfU1dvPC6V13DI3m1Q125RRFhMdxbL8dLZXqmAhMhQbSuvIz0xmbq6+cIuIBOqZXdU0d/TwwCrNrpDht6Ywh/buPl5/r9HrKCFDBQu5pFcOnKS9q487Fk3yOopEqOKCDI40dVB/+qzXUURCQkNbF9urTrG2MFvL+EREAtTT5+PxN6pYmpfO4jxtBS3Db0VBBunJcWwsq/c6SshQwUIuaX1JLbljEymeluF1FIlQ5/pYaJaFSGBe3FePcwMNvkREJDC/33uc+tNd3L9KO4PIyIiJjuKWuRP544GTdPb0eR0nJKhgIR/qxOku3jrcyKcW5qppm3jm6ompjE2KVcFCJEAbSuuYNTGFGRNSvI4iIhIS+n2On22tZE5OKtdfleV1HAljawpzONvbz2vvNngdJSSoYCEf6nfv1OJz8CktBxEPRUXZQB8LNd4UuaSa5k72VLdqdoWIyBC8XH6CqqYO7l85XUvpZEQtzU9nfEo8G0q1W0ggVLCQi3LOsX53LUvz0pmaoT2oxVsrCjKpbTlLTXOn11FEgtqL+wbWxWp3EBGRwDjneHhLBdMyk1k9d6LXcSTMRUcZt87LZsuhRtq7er2OE/RUsJCL2lPdSlVTh5ptSlBQHwuRwLywt475k8cyJSPJ6ygiIiHh9fcaKa9r4xvXFxCtJdAyCtYWZdPT5+OPB096HSXoqWAhF7W+pJbE2GhuLcz2OooIM8aPIXNMHNsqm7yOIhK0KhrOcKC+TctBRESG4JGtlWSnJfDxBbleR5EIsWDyOHLHJrKhVLuFXEpABQszW21mh8yswsy+fYHXrzOzPWbWZ2Z3nPfaP5rZfv/PZwaNv2lme/0/dWb2e//4SjM7Pei1713pm5Sh6+rtZ2NpHbfMm8iY+Biv44hgZiyflsH2qlM457yOIxKUNpbVYQZrVGgWEQnI7qPN7DzSzFevnUZcjO7lyuiIijJuK8zmzcONtHb2eB0nqF3yv0oziwYeBm4BZgN3m9ns8w6rBr4APHXeubcBC4H5wDLgb80sFcA5d61zbr5zbj6wHfjdoFPfPPeac+6hy3pnckVeLj9Be3efloNIUCkuyOBkWzdHmjq8jiISdJxzvFBax7L8dCakJngdR0QkJDyytZL05DjuWjrZ6ygSYdYW5tDb73i5/ITXUYJaIGXEpUCFc67KOdcDPAPcPvgA59xR51wZ4Dvv3NnAG865PudcB1AGrB58gL+AcQPw+8t8DzIC1pfUMmlcIsvzM7yOIvK+FQWZAGxTHwuRv3Cgvo2qxg4tBxERCdCBujZee7eBL67IIylOM4pldM3NTWVqRhIby7Qs5MMEUrDIBWoGPa/1jwWiFFhtZklmlgmsAs4vX34c2Oycaxs0VmxmpWb2kpnNudCFzexrZrbbzHY3NjYGGEcCUdd6lrcqmvjUwklEqfGQBJG8jCQmpiZoe1ORC9hQWk90lHHLXC0HEREJxKOvVzImPobPF+d5HUUikJmxpjCbbZWnaDrT7XWcoDWiC7Wcc68Am4BtwNMMLP3oP++wu/2vnbMHmOqcKwL+NxeZeeGce9w5t9g5tzgrK2vYs0ey5945jnPwqYVaDiLBxcxYUZDBjkr1sRgsgD5D3zKzA2ZWZmabzWyqf3y+mW03s3L/a4P7DP3SzI4M6ic0fzTfkwyNc44NpXVcMz2T9OQ4r+OIiAS9o00dvFhWx+eWTyEtKdbrOBKh1hbl0O9zvLRfy0IuJpCCxXE+OCtikn8sIM65H/p7UdwEGPDeudf8sy6WAi8OOr7NOXfG/3gTEOs/TkaBc45nd9ewLD9dW+JJUFpekMGpjh7eO3nG6yhBIcA+Q+8Ai51zhcB64J/8453A551zcxhYrvcvZjZ20Hn/dVA/ob0j+kbkiuypbuV461nWaTmIiEhAHnujkpjoKL58Tb7XUSSCzZyQwvTxY9hYWud1lKAVSMFiFzDDzPLNLA64C3ghkIubWbSZZfgfFwKFwCuDDrkD2Oic6xp0zkQzM//jpf6Mmv89SkqOtXD0VKeabUrQKp420Fdlu7Y3PSeQPkNbnHOd/qc7GCg845x7zzl32P+4DmgANGUtBG0orSMuJoqb5kzwOoqISNA7cbqL9SW1fHrxJManqEmxeMfMWFuYw86jzZxs67r0CRHokgUL51wf8CDwMnAQ+I1zrtzMHjKzdQBmtsTMaoE7gcfMrNx/eizwppkdAB4H7vFf75y7+OByEBgoYuw3s1LgJ8BdTnO/R836klqS4qK5dZ7WQEtwmpyexOT0RDXe/LOh9hn6MvDS+YP+AnEcUDlo+If+pSL/bGbxF7qY+gl5r9/neHFfPatmZpGaoGnNIiKX8m9vVuFz8PXrCryOIsKaomycgxfVfPOCAmqH61+asem8se8NerwL/x27847pYmCK8sWuu/ICYz8FfhpILhlenT19bCyr59Z52STHq1OyBK/iaRm8XH6Sfp8jWo1hA2Zm9wCLgevPG88GngDuc86d2+3pO8AJBooYjwN/B/zFNtPOucf9r7N48WIVlz3wdtUpGtu7WVcUaD9sEZHI1dLRw6/frmZdUQ6T07X8WbxXkDWG2dmpbCyr40taovQXRrTppoSWl8tPcKa7T8tBJOitKMjk9NleDta3Xfrg8BdQnyEzuxH4LrDOOdc9aDyVgT5C33XO7Tg37pyrdwO6gV8wsPREgtCGsjqS4qK5YdZ4r6OIiAS9X2w7ytnefr65UrMrJHisKcpmT3UrtS2dlz44wqhgIe9bX1LL5PRElualex1F5EMVF5zrY6FlIQTQZ8jMFgCPMVCsaBg0Hgc8B/yHc279eedk+/9pDGw/vX9E34Vclp4+Hy/tP8FNsyeQGBftdRyRiBbAjk3fMLN9/p2X3jrXINnMlg7akanUzD4R6DVlaM509/GrbUe5afYErpqQ4nUckfetmTfQNFvLQv6SChYCQG1LJ9sqT3HHwslEaYq9BLkJqQlMy0xme5UKFoH0GQJ+BIwBnvV/IT5X0Pg0cB3whQtsX/prM9sH7AMygR+M1nuSwL1V0UhrZ692BxHxWIA7Nj3lnJvnnJvPwG5N/8s/vp+BnZzmM7Bj02NmFhPgNWUInnr7GKfP9nK/ZldIkJmSkUTR5LFsKNNuIedTowIB4Hd7juMcfHKh1kBLaCguyOD5vXX09fuIiY7s2msAfYZuvMh5TwJPXuS1G4Yzo4yMDaX1pCbEcO0Mbe4i4rH3d2wCMLNzOzYdOHeAc27wOsZkwPnHB88BTzg3Hsg1JXBdvf3825tH+Mj0DBZMGed1HJG/sLYwmx+8eJCjTR3kZSZ7HSdoRPa3fAHAOcf6klqKp2Wo+ZCEjOKCDM5097Hv+Gmvo4h4oqu3n1fKT3DL3GziYvS/cxGPBbRjk5k9YGaVDMyw+OtB48v8u+ztA77hnz031F2g5EP8dk8tDe3d3L9yutdRRC7otsKBXRo3apbFB+gbjrDraAvVzZ1qtikhZfm0gT4W2t5UhhXGlgAAIABJREFUItVr7zbQ0dPPWi0HEQkZzrmHnXMFDOy89PeDxt92zs0BlgDfMbOEQK+p7aUvra/fx2OvV1E0eSwr/H2wRIJNdloiS/LGsaFUfSwGU8FCWF9SQ3JcNLfMm+h1FJGAZY6JZ+aEFHaoj4VEqA2ldWSOiX+/Ca2IeCqgHZsGeYaBhsYf4Jw7CJwB5gZ6Tefc4865xc65xVlZWh52IS/uq6e6uZP7VxYw0EtaJDitKczh0Ml23jvZ7nWUoKGCRYTr7OnjxbJ6bivMJilOLU0ktBQXZLDraDM9fT6vo4iMqvauXl57t4Hb5k0kWo2SRYJBIDs2zRj09DbgsH8838xi/I+nArOAo4FcUy7N53M8sqWSGePHcNPVE7yOI/Khbpk3kSiDjaVaFnKOChYR7qV9J+jo6eeORZMvfbBIkCkuyKCr18femlavo4iMqlcPnKS7z6flICJBIsAdmx40s3Iz2wt8C7jPP34NUOoffw643znXdLFrjuLbCguvvdvAoZPtfHNlgXbCk6A3PiWB5dMy2FhWj3Pu0idEAN1Sj3DrS2qZmpHEkjx1S5bQszw/AzPYXnmKpfnpXscRGTUbSuvIHZvIQnW6FwkaAezY9DcXOe8J4IlArymBc87x8NYKJo1LVIFXQsbaohy+87t9HKhvY05OmtdxPKcZFhGsprmT7VWnuGPhJK3nk5CUlhTLnJxUtlU2eR1FZNS0dPTw5uEm1hRm626hiMiH2FHVzDvVrXz9umnERvgW6BI6Vs+ZSEyUsWmfmm+CChYR7bd7ajGDT2p3EAlhxdMyeKe6la7efq+jiIyKP5SfoM/ndLdQROQSHtlaQeaYeO5crKXPEjrGJcdROCmNHVXNXkcJCipYRCifz/HbPbWsKMggd2yi13FELltxQQY9/T72HGvxOorIqHhhbx3TMpOZk5PqdRQRkaBVVtvKm4eb+PI1+STERnsdR2RIluSnU1arG3KggkXE2nm0mZrms9yh2RUS4pbkpRMdZWyr1PamEv4a2rrYceQUa4pytJRPRORDPLKlkpSEGO5ZPsXrKCJDtiw/nd5+xzvVaiyvgkWEWl9Sy5j4GFbPyfY6isgVSUmIZV5uGturVLCQ8Pfivnqcg3VF+uwWEbmYioZ2Xj5wgvuK80hJiPU6jsiQLZqajhnsOqplISpYRKCO7j427atnTWE2iXGaIiehb0VBBqU1rXR093kdRWREPb+3jquzU5k+PsXrKCIiQevRrVXEx0TxxY/keR1F5LKkJcYyc0KKChaoYBGRNu2rp7OnX8tBJGwUF2TQ53P6UJewtvtoM3trWrlTn90iIhdV29LJ83uPc/fSKWSMifc6jshlW5afTsmxFvr6fV5H8ZQKFhFofUkt+ZnJLJo6zusoIsNi8dR0YqNNy0IkrD28pYL05DjuWqpu9yIiF/Ovb1RhBl+9dprXUUSuyJL8dDp7+imva/M6iqdUsIgw1ac6eftIM3csmqSGbRI2EuOiWTB5HNvVeFPCVHndabYcauRLH8kjKS7G6zgiIkGp6Uw3z+yq4RMLcsnRLngS4pbmpQPqY6GCRYRZv6cWM/jEglyvo4gMq+UFGew/fprTZ3u9jiIy7B7ZUklKfAz3Fud5HUVEJGj9/K0j9PT7+Pr1BV5HEbli41MTyMtI4u0jKlhIhPD5HL8tqeWa6ZmqOkvYWVGQgc/Bzgj/UJfwU9Fwhk3767m3eCppiep2LyJyIW1dvTyx/Ri3zs2mIGuM13FEhsWSvHR2H23G53NeR/GMChYRZMeRUxxvPatmmxKWFkwZS3xMlJaFSNj52euVxMdE8aVr8r2OIiIStJ7Yfoz27j6+uVKzKyR8LMlPp6Wzl8rGM15H8YwKFhFkfUktKfExfGzORK+jiAy7+JhoFk0dp8abElZqWzr5/TvHuWvJFDLV7V5E5ILO9vTz87eOcP1VWczNTfM6jsiwWZY/0McikpeFqGARIc509/HSvhOsKcohITba6zgiI2JFQQYH69to7ujxOorIsHjc3+3+a9ep272IyMX8ZncNpzp6uF+zKyTMTElPYnxKfEQ33lTBIkJsKqvnbG+/loNIWCsuyADgbc2ykDDQ0N7FM7tq+OSCSeo7JCJyEb39Ph5/o4rFU8ex1H83WiRcmBlL8tPZeaQZ5yKzj4UKFhFifUkt07KSWThlrNdRREZM4aSxJMVFs019LCQM/PtbR+jr92k9tojIh3h+bx3HW89y/6oCzMzrOCLDbll+OvWnu6htOet1FE+oYBEBjjZ1sPNoM3csmqQPcglrsdFRLMlLVx8LCXmtnT08uf0YawpzyMtM9jqOiEhQ8vkcj26tYNbEFFbNHO91HJERsSRvYOZQpC4LUcEiAvx2Ty1RBp9coOUgEv6KCzKoaDhDQ3uX11FELtuvth2jo6ef+1dpdoWIyMW8cuAElY0dPLBqum7KSdiaOSGF1IQYdkZo400VLMKcz+f4bUkt18zIYmJagtdxREbcCn8fC21vKqGqo7uPX2w7wo1XT2DWxFSv44iIBCXnHA9vqSQvI4lb52V7HUdkxERFGUvy0tmpGRYSjrZXnaLudJeabUrEmJOTRkpCDDu0LERC1FNvV9Pa2csDml0hInJRb1U0se/4ab5xfQHRUZpdIeFtSX46VY0dNJ3p9jrKqFPBIsytL6klJSGGm2dP8DqKyKiIjjKW5Weo8aaEpK7efh5/s4qPTM9gwZRxXscREQlaD2+pYEJqPJ9YmOt1FJER934fiwhcFqKCRRhr6+rlpf31rCvKISE22us4IqOmuCCDY6c6qWuNzG7KErrWl9TS2N7NAyunex1FRCRolRxrYUdVM1+9dhrxMfqOK+FvXm4aCbFREbksRAWLMLaprJ6uXp+Wg0jEKZ6mPhYSenr7ffzs9UoWTBlLsb8Xi4iI/KVHt1YwNimWu5dO8TqKyKiIi4liweRxEblTiAoWYWx9SS0FWcnMnzzW6ygio2rWxBTGJcVqWYiElA2lddS2nOWBlep2LyJyMe+eaOOPBxv44op8kuNjvI4jMmqW5KdzoK6N9q5er6OMKhUswtSRpg52H2vhzsWT9cVXIk5UlLF8WgY7qk7hnPM6zogzs9VmdsjMKszs2xd4/VtmdsDMysxss5lN9Y/PN7PtZlbuf+0zg87JN7O3/df8TzOLG833FGl8PscjWyuZNTGFj1493us4IiJB69GtlSTHRXPfiqleRxEZVcvy0/G5gSVRkUQFizC1vqSGKINPLFAjIolMKwoyON56lurmTq+jjCgziwYeBm4BZgN3m9ns8w57B1jsnCsE1gP/5B/vBD7vnJsDrAb+xczOTcn6R+CfnXPTgRbgyyP7TiLbKwdOUNFwhvtXaXaFiMjFHDvVwYbSOj63fCpjk1RHl8iyYMpYYqIs4paFBFSwCODu3XVmtsfM+szsjvNe+0cz2+//GXz37pdmdsTM9vp/5vvHzcx+4v+zysxs4ZW+yUjT73P8bs9xrrsqiwmpCV7HEfHEuR4AEdDHYilQ4Zyrcs71AM8Atw8+wDm3xTl3rnKzA5jkH3/POXfY/7gOaACybOA35hsYKG4A/Ar4+Ii/kwjlnOOnWyrIy0jitnnZXscREQlaj71RRUxUFF++Jt/rKCKjLikuhjm5aeyMsJ1CLlmwCPDuXTXwBeCp8869DVgIzAeWAX9rZqmDDvmvzrn5/p+9/rFbgBn+n68Bjw71TUW6bZVN1J/uUrNNiWgFWWPISolne1XYFyxygZpBz2v9YxfzZeCl8wfNbCkQB1QCGUCrc64vwGvKFXjjcBP7j7fxzZUFREdpdoWIyIWcbOti/e5a7lg8STfkJGIty0+ntOY0Xb39XkcZNYHMsAjk7t1R51wZ4Dvv3NnAG865PudcB1DGwLTjD3M78B9uwA5grJnpltMQrC+pJS0xlhuvnuB1FBHPmBnF0zLYVhkZfSwCYWb3AIuBH503ng08AXzROXf+5/ilrvk1M9ttZrsbGxuHL2wEefi1CrLTEvjEAhWZRUQu5t/fOkKfz8fXr5vmdRQRzyzJS6en30dZ7Wmvo4yaQAoWQ717N1gpsNrMkswsE1gFTB70+g/9yz7+2czih/Ln6UvyhZ0+28sf9p9gXVEOCbHal1oiW3FBBo3t3VQ2dngdZSQd54Ofq5P8Yx9gZjcC3wXWOee6B42nAi8C3/UXiQFOMVAsPtd+/YLXBHDOPe6cW+ycW5yVlXXFbybS7DzSzM6jzXztumnExaitlIjIhbR29vDkjmOsLcphakay13FEPLN46jgAdh4J+xnE7xvRb0fOuVeATcA24GlgO3Bu/sp3gFnAEiAd+LshXltfki/gxbJ6uvt8Wg4iwkDjTYDtlU0eJxlRu4AZ/l094oC7gBcGH2BmC4DHGChWNAwajwOeY2BW27l+FbiBKSlbgHM9ie4Dnh/RdxGhHt5SQUZyHHctmeJ1FBGRoPWrbcfo7OnnmysLvI4i4qlxyXHMnJDCzqORs1NIIAWLgO7eXYxz7of+HhU3AQa85x+v9y/76AZ+wcDSkyv+8yLd+pIaZowfQ+GkNK+jiHhuSnoSOWkJYd3Hwt9n4kHgZeAg8BvnXLmZPWRm6/yH/QgYAzzrb3J8rqDxaeA64AvnN0BmoIj8LTOrYKCnxb+P1nuKFPtqT/P6e4186Zp8EuM0I05E5EI6uvv4xbYj3Hj1eGZNTL30CSJhbkn+OPYca6Gvf0ireENWzKUP+fPdOwYKB3cBnw3k4v6GnWOdc6fMrBAoBF7xv5btnKv3d6P/OLDff9oLwINm9gwDjTpPO+fqh/KmIlVl4xn2VLfy32+dpW3xRBjoY7G8IIOthxrx+RxRYdrQ0Dm3iYHZbIPHvjfo8Y0XOe9J4MmLvFbFnwvJMgIe2VpBSkIM9xZP9TqKiEjQenpnNa2dvdy/arrXUUSCwpK8dJ7cUc3B+nbmRcBN6kvOsAjk7p2ZLTGzWuBO4DEzK/efHgu8aWYHgMeBewZ1nf+1me0D9gGZwA/845uAKqAC+Ffg/mF4nxFhfUkt0VHGx+ermb/IOSsKMmnu6OHQyXavo4i8r6KhnT+Un+ALK/JITYj1Oo6ISFDq7uvnX9+sYvm0dBZOGed1HJGgsDQ/HYCdRyNje9NAZlgEcvduFwNLN84/r4uBnUIudM0bLjLugAcCySV/1u9z/G5PLddflcV4bfUk8r7i9/tYnOLqbE0lleDwyNZKEmKi+eJH8r2OIiIStJ7bc5yTbd38zzuLvI4iEjSy0xKZnJ7IziOn+PI14f89Qi3Jw8RbFU2cbOtWs02R8+SOTWRqRlJY97GQ0FLT3Mnze+v47LIppCfHeR1HRCQo9fX7ePT1SublpnHN9Eyv44gElSV56ew+2sLAvf7wpoJFmFhfUsvYpFg+evV4r6OIBJ3iaRnsqDpFvy/8P9Ql+D32RiXRZnz12mleRxERCVqb9p/g2KlOHlhVoN5sIudZlp/OqY4eKhs7vI4y4lSwCAOnO3t5ufwEtxflEB+jTvMi5ysuyKC9q48DdW1eR5EI19DWxW921/KpRZOYmKbleyIiF+LzOR7ZUkFBVjI3z57odRyRoLMkz9/H4kj497FQwSIMbCiro6fPxx2LJl/6YJEIVDxtoI/Ftsomj5NIpPu3t47Q1+/jG9drdoWIyMW8cuAE755o58EbpoftDl8iVyI/M5nMMfHsioDGmypYhIH1JbXMnJDC3Fw1FBS5kPGpCRRkJauPhXiqpaOHJ3ccY11RDlMzkr2OIyISlHw+x483V5Cfmczawhyv44gEJTNjaf44zbCQ4FfR0M7emlbuXDxJ6/tEPsSKgkx2HWmmt9/ndRSJUL/cdpTOnn6+uXK611FERILWqwdPcrC+jQdXTScmWr+qiFzMkrx0jree5XjrWa+jjCh9CoS4Z0tqiY4ybp+f63UUkaBWXJBBR08/ZbWnvY4iEehMdx+/3HaUm2dPYObEFK/jiIgEJeccP9l8mLyMJG6fr9kVIh9maf5AH4tdYT7LQgWLENbX7+O5PcdZNTOLrJR4r+OIBLXl/j4WO7QsRDzw6x3HOH22lwdWaXaFiMjF/PFgA+V1bTyg2RUilzRrYiop8THsDPM+FvokCGFvVjTR0N7NHYsmeR1FJOilJ8cxa2KKGm/KqOvq7edf3zzCtTMyKZo81us4IiJByTnHjze/x5T0JD6xQDOHRS4lOspYlBf+fSxUsAhh63fXMi4plhtmTfA6ikhIKC7IYPfRFrr7+r2OIhHk2d01NJ3p5n71rhARuajX3m1g/3H1rhAZiqX56VQ0nKG5o8frKCNGnwYhqrWzh1cPnOT2+bnExeivUSQQKwoy6e7zsbe61esoEiF6+3387PUqFk0dx/Jp6V7HEREJSgOzKw4zOT2RTyzU7AqRQC3N8/exCONlIfpNN0RtKK2jp9+n5SAiQ7A0P50og22V6mMho+P5vXUcbz3LA6sKtJOTiMhFbD3USFntaR5YOZ1Yza4QCdi8SWnExUSF9bIQfSKEqPUltcyamMKcnFSvo4iEjLTEWObkpLFdjTdlFPT7HI9sreDq7FRWzRzvdRwRkaDknONfNh8md2win1yoG3EiQxEfE82CyWM1w0KCy3sn2ymtPc2diyfrjp3IEK0oyOCd6hbO9qiPhYysl8tPUNXYodkVIiIf4vX3GimtaeWBVdO1zFnkMizNT6e8ro0z3X1eRxkR+lQIQetLaomJMu1PLXIZlhdk0NvvKDnW4nUUCWPOOR7eUsG0rGRumZvtdRwRkaB0rndF7thELXMWuUxL8tLp9zn2hOl3WxUsQkxfv4/f7TnOqlnjyRwT73UckZCzJC+dmChje5W2N5WRs/VQI+V1bXzz+gKiozS7QkTkQt483MQ71a18c2WBZleIXKaFU8cRHWVhuyxEnwwh5o3DjTSd6VYVWuQyjYmPoXBSmhpvyohxzvHTLRXkjk3k4wvU7V5E5ELOza7ITkvgzsX6XityucbExzAnJzVsG2+qYBFint1dS0ZyHDfMUgM3kctVXJBBWe3psF3rJ956+0gzJcda+Pr109TtXkTkIv5UcYqSYy3cv7KA+Jhor+OIhLQleem8U9NKd1/49WjTN6kQ0tLRwx8PnuT2+bn6EixyBVYUZNLvc+wK00q0eOvhLRVkjonn04snex1FRCQoDcyueI+JqQl8eok+K0Wu1NL8dHr6fOyrPe11lGGn33pDyAuldfT2Oy0HEblCi6aOIy46StubyrArrWnlzcNNfOXafBJidcdQRORCtleeYtfRFr6p2RUiw2JJXjowMMsz3KhgEULWl9QyOzuV2TmpXkcRCWkJsdEsmDKW7epjIcPska0VpCbE8LllU7yOIiIStP5l82EmpMbzGc2uEBkW6clxTB8/Jiwbb6pgESLePdHGvuOn1ZRIZJgUF2Swv+40pzt7vY4iYeK9k+28XH6SL3wkn5SEWK/jiIgEpR1Vp9h5pJlvXF+gmWgiw2hpfjolR1vo9zmvowwrFSxCxPrdtcRGG7fPV8d5keFQPC0D5+DtI5plIcPj0a2VJMVF88UVeV5HEZFRZmarzeyQmVWY2bcv8Po3zGyfme01s7fMbLZ//CYzK/G/VmJmNww6Z6v/mnv9P2HRcf3HfzxMVko8dy/VTDSR4bQ0L5327j4O1rd5HWVYqWARAnr7ffx+73FumDWe9OQ4r+OIhIX5U8aSEBul7U1lWFSf6uSF0jo+t2wK4/Q5LRJRzCwaeBi4BZgN3H2uIDHIU865ec65+cA/Af/LP94ErHXOzQPuA54477zPOefm+38aRu5djI6dR5rZXnVKsytERsCS/IE+FuG2LEQFixDw+qFGms70cMcirfMTGS7xMdEsnprODjXelGHwszcqiTbjK9dO8zqKiIy+pUCFc67KOdcDPAPcPvgA59zgW57JgPOPv+Ocq/OPlwOJZhY/Cpk98ePN75E5Jl59fkRGQO7YRHLHJqpgIaPv2ZIaMsfEsXJmltdRRMJKcUEG755o59SZbq+jSAg7cbqL9btruXPxJCakJngdR0RGXy5QM+h5rX/sA8zsATOrZGCGxV9f4DqfAvY45wb/T+kX/uUg/8PMbDhDj7bdR5v5U8UpvnH9NM2uEBkhS/PT2XmkGefCp4+FChZB7tSZbjYfbODj83OJjdZfl8hwKi7IAGBHVXhVomV0/dubVfQ7xzeuL/A6iogEMefcw865AuDvgL8f/JqZzQH+Efj6oOHP+ZeKXOv/ufdC1zWzr5nZbjPb3djYODLhh8GPNx8mc0wcn1s21esoImFrSV46TWd6ONLU4XWUYaPfgIPcC6V19Pkcn1qk3UFEhtu83DSS46LZXtXkdRQJUc0dPfz67WpuL8phcnqS13FExBvHgcHrdif5xy7mGeDj556Y2STgOeDzzrnKc+POueP+f7YDTzGw9OQvOOced84tds4tzsoKztm4JcdaePNwE1+7bhqJcZpdITJSloZhHwsVLILc+pJa5uamcnV2qtdRRMJObHQUS/PT1XhTLtsv/3SEs739fHOlZleIRLBdwAwzyzezOOAu4IXBB5jZjEFPbwMO+8fHAi8C33bO/WnQ8TFmlul/HAusAfaP6LsYQT/efJiM5DjuWa7ZFSIjqSArmYzkON4+ooKFjIIDdW2U17Vxp5ptioyY4oIMqho7ONnW5XWUyxbAdnrfMrMDZlZmZpvNbOqg1/5gZq1mtvG8c35pZkcGbac3fzTeSyhp7+rll9uOsnrORGZMSPE6joh4xDnXBzwIvAwcBH7jnCs3s4fMbJ3/sAfNrNzM9gLfYmBHEPznTQe+d972pfHAy2ZWBuxlYMbGv47i2xo271S38MZ7jXz1umkkxcV4HUckrJkZi/PGhdUMC31qBLH1JbXERhvrinK8jiIStlYUZAKwo+oUt8//ix5pQW/Qdno3MdDobZeZveCcOzDosHeAxc65TjP7JgMN3z7jf+1HQBIfXDd9zn91zq0fufSh7ckd1bR19fHAquleRxERjznnNgGbzhv73qDHf3OR834A/OAil100bAE99OPNh0lPjuNeza4QGRVL8zN4ufwk9afPkp2W6HWcK6YZFkGqp8/H7/ce58arJzAuOc7rOCJh6+rsVFITYthWEbLLQgLZTm+Lc67T/3QHA+urz722GWgfrbDhoqu3n39/q4rrrspi3qQ0r+OIiASlvTWtbD3UyFeuzSc5XvdJRUbD0ryBPhY7w2RZiAoWQWrroQaaO3q4Q802RUZUdJSxbFoG26tCtmAR0HZ6g3wZeCnAa//Qv4zkn80s/nIDhqP/3FVD05keHtTsChGRi/rJ5sOMTYrl88V5XkcRiRhXZ6eQHBcdNstCVLAIUs+W1JI5Jp7rrwrObs8i4WRFQQbVzZ3UtnRe+uAQZmb3AIsZWAZyKd8BZgFLgHQGtuG70DVDYju94dTT5+Ox1ytZkjfu/W7cIiLyQWW1rbz2bgNfvXYaYzS7QmTUxERHsSgvnV1HWryOMixUsAhCTWe62fJuA59cmEtMtP6KREZacUEGANtDc7eQgLbTM7Mbge8C65xz3Ze6qHOu3g3oBn5BCG+nN9x+/85x6k53qXeFiMiH+Mnmw6QlxvL5YvWuEBltS/PGcehkOy0dPV5HuWIB/TYcQAf668xsj5n1mdkd5732j2a23//zmUHjv/Zfc7+Z/dy/ZRNmttLMTg/qlPy98/+8cPf83jr6fI5PLdRyEJHRcNX4FDKS40J1WUgg2+ktAB5joFjREMhFzSzb/08DPk4Ib6c3nPp9jkdfr2RubqpmwImIXMT+46f548EGvnJNPikJsV7HEYk4S/x9LHYfC/1ZFpcsWAzqQH8LMBu428xmn3dYNfAF4Knzzr0NWAjMB5YBf2tmqf6Xf83AdON5QCLwlUGnvumcm+//eWiobyrUrS+ppXBSGjMnaps8kdEQFWUsn5bB9spTOOe8jjMkAW6n9yNgDPCsvxD8fkHDzN4EngU+ama1ZvYx/0u/NrN9wD4gk4t3sY8om/bVc6SpgwdWTmegliMiIuf78ebDpCbEcN9H8ryOIhKRiiaPJS46Kiz6WASyoOz9DvQAZnauA/37W+Y55476X/Odd+5s4A3/F+o+/17Sqxn4Qv3+1k9mtpNBXesj2f7jpzlY38Y/3D7H6ygiEWV5QQYv7qvn2KlO8jKTvY4zJAFsp3fjh5x77UXGbxi2gGHCOcfDWyooyErmY3Mmeh1HRCQolded5tUDJ/k/bryKVM2uEPFEQmw0RZPTeDsMdgoJZEnIUDvQD1YKrDazJDPLBFbxwbXW+JeC3Av8YdBwsZmVmtlLZhZRv7mvL6klLjqKtUU5XkcRiSgr/H0stoVmHwsZBa+928C7J9q5f+V0oqI0u0JE5EJ+svkwKQkxfEGzK0Q8tTQ/nfLjp+no7vM6yhUZ0Y6OzrlXGLjrtw14GtgO9J932CMMzMJ40/98DzDVOVcE/G/g9xe6djh2pu/o7uO3e2q5ec4ExibFeR1HJKJMy0xmfEp8qPaxkBHmnOOnWyqYNC6RdfNVUBYRuZCD9W28XH6SL30kn7REza4Q8dKSvHT6fI53qlu9jnJFAilYBNSB/mKccz/096K4CTDgvXOvmdn3gSzgW4OOb3POnfE/3gTE+mdnnH/dsOtM/+zuGtq7+vjSNfleRxGJOGbGioLQ7GMhI2971SneqW7l69cXEKvdm0RELugnmw+TEh/Dlz6i77IiXls0dRxRBjtDvI9FIN+6LtmB/mLMLNrMMvyPC4FC4BX/868AHwPuds75Bp0z0d+Vnv+fvTuPj6o8+z/+ubKRsJOwhyVhK7KJkrCJimsVFbRqxRWFuqOt1i7W36M+9rGbrdZWWhdwbcV9wYoiKsi+BEVkEQlJgLATdkLIdv/+mIGOMZAEkzknM9/365VXZ865z5nvJOnlcOU+9zGzgcGMEf8nz7KV+ZD3AAAgAElEQVRyx7Nz8zi5U3NO7tTC6zgiUWlI1xR27D9E9rb9XkcRn/nHjLW0atKAywdouSURkcp8vWUvHyzfwg2npNGsoWZXiHitSWI8vdo3ZXE9X8eiyoZFdVagN7NMM8sHLgeeMrMVwcPjgdlmthJ4GrgmeD6AJ4E2wPwKty+9DFhuZl8CfwNGuyj4c+fHq7ayfmch44Z18TqKSNQa0iUwmUuXhUiopRt2Myd7Bzeemk5ifKzXcUREfOnvn2TTuEGcZgqL+EhmWjKfr99FcWnFe2PUH9W5S0h1VqBfTCV3+XDOFRG4U0hl56z0tZ1zTwBPVCdXJJk0O5fU5kn8sHcbr6OIRK2OyUmkNk9iXnYB1w1J8zqO+MSEGdk0S4rnqkGdvY4iIuJL32zdx9Tlm7l9eDetwybiIwPTknlubh5fbdzDgM71cxa/LsT1ga/y97Aobyc3nJJGnK6NFvGMmTGkawoLcgsoL4/4iV1SDV9v2cv0lVu54ZQ0GjeoVo9fRCTq/O2TNTSMj2WcZleI+EpmejIAi+vxOhb617EPTJqTQ6OEWH6c2bHqwSJSp4Z2TWF3YQlfb9nndRTxgX/OXEujhFiuH5rmdRQREV9as3Uf73+1mTFD02jRSLMrRPykZeMGdGnViEX1eB0LNSw8tmVPEf9ZtpkfZ3akaaIWKBLx2pCuKQDMW7vD4yTitbwdB3jvy01cM7izpjiLiBzF3z/NJik+lp+cqnXYRPxoYFoyWXk76+3sYTUsPPbC/DzKneOGoZpCJ+IH7ZolkZbSkAVaeDPqPTVrLXGxMZriLCJyFNnb9vPesk1cNySNZM2uEPGlgenJ7C0qZfXW+jl7WA0LDxUWl/LywvWc26stnVIaeh1HRIKGdG3JwpydlJbV3xWV5fvZvOcgbyzJ54qMjrRumuh1HBERX3ri0zUkxsVy46lq7Ir4VWZaYB2L+npZiBoWHnpzST57DpYwTkVexFeGdE1h36FSVmza63UU8cgzs3JxDm4+XVOcRUQqk7N9P1O+3MR1QzqT0riB13FE5Cg6tEiiXbNEFtXThTfVsPBIebnj2bl5nNihGRn19BYzIpFqSJfAOhbzdVlIVCrYf4iXF61jVP9UOrTQ7DcRkco88Wk2DeJiufE0NXZF/MzMGJiezOLcnThX/9axUMPCIzNWbyN3xwHGDkvHzLyOIyIhWjVpQPfWjZm3Vg2LaPTUrByKS8u5dXhXr6OIiPhS7o4DvLN0I9cM7kRLza4Q8b3MtGS27TvEuoJCr6PUmBoWHpk4O5d2zRIZ0bed11FEpBJDuqaQlbeT4lKtYxFNtu0t4sX5eVzcP5VurRt7HUdExJee+DSbhLgYbjpNjV2R+mBgenAdi3p4WYgaFh5YsWkP83MKGDM0jfhY/QhE/Gho1xQKi8tYlr/b6ygSRv+YuZaSMsdPz+7udRQREV9aVxCYXXH1oM60aqLZFSL1QbdWjWnRMJ7F9XDhTf1r2QPPzskjKT6WKzM7eR1FRI5iUHoKZjBfl4VEjU27D/LywvX8OKMDnVMaeR1HRMSXnvg0m7gY06LEIvVITIyRkZasGRZStW17i5jy5UYuz+hAs4bxXscRkaNo0SiBE9o21cKbUeTvn2YDMP5Mza4QEanM+oJC3vpiI1cN6kTrJrrls0h9MjAtmXUFhWzbW+R1lBpRwyLMXlqwjtJyxw2n6FamIn43pGsKWet2UVRS5nUUqWPrCwp5PWsDVw7sSGrzJK/jiIj40oQZ2cTGGLecrrUrROqb+rqOhRoWYVRUUsa/FqzjrJ5tSG+p6cYifjekSwrFpeV8sV7rWES6xz9ZQ2yMcfsZ3byOIiLiSxt2FvLm5/lcNbATbZpqdoVIfdO7fVMaJsSyqJ6tY6GGRRi99flGdhWWMG6YZleI1AcDuyQTYzB/7Q6vo0gdyt62n7e/yOe6IZ1prQ/hIiKV+sfMbGJMsytE6qu42BhO7tRCDQupXHm549m5ufRu35TBXZK9jiMi1dA0MZ6+qc20jkWEe/yTNSTGx+pDuIjIUeTvKuT1rHxGD+xI22Zq7IrUVwPTk1m9dR97Cku8jlJtaliEyWdrtpO9bT/jhqVjZl7HEZFqGtK1JUs37KawuNTrKFIHvt6yl/e+3MQNp6SR0li35xMRqcw/Zq4lxoxbh6uxK1KfZaYl4xxkras/syzUsAiTZ+fk0rpJAy7s197rKCJSA0O6plBS5sjK2+V1FKkDj03/hiYN4rjxVN2eT0SkMht3H+T1rA38OLMD7ZppUWKR+uykTs2Jj7V6tfCmGhZhsHrLPmav2cGYoWkkxOlbLlKfZHRuQVyM6bKQCPRV/h6mrdjKT07tQvOGCV7HERHxpX/ODNzy+dbhWpRYpL5LjI+lX4fm9WodC/3rOQwmzckhMT6GqwZ28jqKiNRQowZx9O/YnHlr1bCINI9OX03zhvGMHZbmdRQREV/avOcgry3O5/IM3fJZJFJkpiXzVf4eDhaXeR2lWtSwqGM79h/inaWbuPTkDrRopL/gidRHQ7qmsOtAMcWl5V5HkVqyZN1OZqzezs2ndaVJYrzXcUREfOmfM9ficNymtStEIsbA9BaUlju+2FA/LndWw6KO/WvBOopLyxmrW5mK1Ft3ntWdz34xXJd0RZC/fPQNLRsnMGZoZ6+jiIj40pY9RbyyaAOXDehAhxYNvY4jIrVkQOdkzKg3l4Xo03cdKiop46X56zjjB63o2qqx13FE5DjFx8bo7j4RZN7aHcxbW8Ctw7vRMCHO6zgiIr705GdrKXeO27R2hUhEaZYUT8+2TVlcTxbeVMOiDk1ZuomCA8X8RKvPi4j4gnOORz/6hrZNE7l6kNYVEhGpzNa9Rby8aD2XntyBjsmaXSESaQamteDzdbspKfP/5c5qWNQR5xyT5uTSs20ThnZN8TqOiIgAs9bsIGvdLm4/sxuJ8bFexxER8aUnP1tLWbnj9jM0u0IkEg1MT+FgSRnLN+7xOkqV1LCoI3Oyd7B66z7GDkvXVHIRqVNmdp6ZrTazbDP7dSX77zazlWa2zMw+MbPOIfs+NLPdZvafCsekm9nC4DlfNbN6v2qwc46/fLSa1OZJXJHR0es4IiK+tG1vES8vXM8lJ6XSKUWzK0QiUWZ6C4B6cVmIGhZ1ZNKcXFo2bsCo/u29jiIiEczMYoEJwPlAL+BKM+tVYdgXQIZzrh/wBvCnkH2PANdWcuo/Ao8557oBu4BxtZ093D5etY1l+Xv46VndtYCqiMhRPDUrh9Jyx3jNrhCJWK2bJJLeshGLcv1/pxB9YqsD2dv2MXP1dq4d3JkGcZpyLCJ1aiCQ7ZzLcc4VA68Ao0IHOOdmOOcKg08XAB1C9n0C7Asdb4FpYWcSaG4AvABcXDfxw6O8PDC7Ii2lIT86OdXrOCIivrR93yH+vXAdo/q3J61lI6/jiEgdykxrweK8nZSXO6+jHJMaFnVg0pw8EuJiuHqwFnQTkTqXCmwIeZ4f3HY044APqjhnCrDbOVda1TnN7CYzyzKzrO3bt1czcvh9sHwLX2/Zx13n9CAuVv/pExGpzNOz1lJcWs4dZ3b3OoqI1LHMtGT2HCxhzbb9Xkc5Jn1qq2U7DxTz1uf5/OikVFo2buB1HBGRI8zsGiCDwGUgtcI597RzLsM5l9GqVavaOm2tKit3PDp9Nd1bN+bCfrpMT0SkMjv2H+KlBesY1T+VdM2uEIl4g9IDN4ZY5PN1LNSwqGX/XrCOQ6XljB2W7nUUEYkOG4HQFSQ7BLd9i5mdDdwHjHTOHarinAVAczOLO9Y564t3l25k7fYD3H1OD2JjtAiyiEhlnpmVQ3FpOePP1NoVItGgY3ISbZo2YFGuGhZR41BpGS8uWMep3VvSo00Tr+OISHRYDHQP3tUjARgNTAkdYGYnAU8RaFZsq+qEzjkHzAAuC24aA7xbq6nDpKSsnMc/WUOvdk35Ye+2XscREfGlgv2HeHH+Oi46sT1dWzX2Oo6IhIGZkZmWzOLcnQQ++vmTGha16D9fbmb7vkP85NQuXkcRkSgRXGdiPDANWAW85pxbYWYPmdnI4LBHgMbA62a21MyONDTMbDbwOnCWmeWb2Q+Du34F3G1m2QTWtJgUprdUq95cks+6gkJ+fm4PYjS7QkSkUs/MzqWotIw7NLtCJKoMSk9my94i8ncd9DrKUcVVPUSqwznHxDm5dG/dmNO6t/Q6johEEefcVGBqhW33hzw++xjHnnqU7TkE7kBSbx0qLePvn2bTv2NzzuzZ2us4IiK+tPNAMS/Oz+PCfu3p1lozhEWiSWZ6MgALc3fSMbmhx2kqpxkWtWR+TgGrNu9l3LB0AncEFBERL726eAMbdx/k5+f2UF0WETmKibNzOFhSxp2aXSESdXq0bkKzpHgW+3gdCzUsasmzc3JJbpTAxScd626CIiISDkUlZTzxaTYD05IZ1k2z3kREKrPrQDEvzMtjRN92dNf6ayJRJybGyExrwWIf3ymkWg0LMzvPzFabWbaZ/bqS/aeZ2edmVmpml1XY90czWx78uiJke7qZLQye89XgYnGYWYPg8+zg/rTv9xbrXs72/Xy8ahvXDOpEYnys13FERKLevxasY9u+Q5pdISJyDPsPlTKkawp3ntnd6ygi4pHMtGRydhxg274ir6NUqsqGhZnFAhOA84FewJVm1qvCsPXA9cDLFY69ADgZ6A8MAu4xs6bB3X8EHnPOdQN2AeOC28cBu4LbHwuO87Xn5uaREBvDNUM6ex1FRCTqHThUyj9nruXU7i0Z1CXF6zgiIr7VMbkhE8dk8oO2ml0hEq0Or2ORlbfL4ySVq84Mi4FAtnMuxzlXDLwCjAod4JzLc84tA8orHNsLmOWcK3XOHQCWAedZ4M9dZwJvBMe9AFwcfDwq+Jzg/rPMx38e211YzBtL8hnZvz2tmyR6HUdEJOo9Py+PggPF3H1OD6+jiIiIiPhan/bNSIqPZZFP17GoTsMiFdgQ8jw/uK06viTQoGhoZi2BM4COBG6Rtzt4O76K5zzyesH9e4LjfenlRes5WFLG2FPSvY4iIhL19haV8PSsHM7q2ZqTOrXwOo6IiIiIryXExXBSp+b1umFx3JxzHxG41d48YDIwHyirjXOb2U1mlmVmWdu3b6+NU9ZYcWk5L8zL45RuKfRq37TqA0REpE5Nmp3LnoMl3KXZFSIiIiLVkpmWzKote9lbVOJ1lO+oTsNiI4FZEYd1CG6rFufcw865/s65cwADvgEKgOZmFlfJOY+8XnB/s+D4iud92jmX4ZzLaNWqVXXj1KqpX21m695DjBum2RUiIl7bdaCYSXNyOb9PW/qkNvM6joiIiEi9MCg9GedgiQ/XsahOw2Ix0D14V48EYDQwpTonN7NYM0sJPu4H9AM+cs45YAZw+I4iY4B3g4+nBJ8T3P9pcLyvOOeYNCeXLq0aMbxHa6/jiIhEvadn53CguFSzK0RERERq4KROLYiLMRb58PamVTYsgutIjAemAauA15xzK8zsITMbCWBmmWaWD1wOPGVmK4KHxwOzzWwl8DRwTci6Fb8C7jazbAJrVEwKbp8EpAS33w185zaqfrA4bxdfbdzD2FPSiYnx7ZqgIiJRYfu+Qzw/N4+RJ7anRxutdi8iIiJSXUkJsfRJbcZiH65jEVf1EHDOTSWwFkXotvtDHi8mcFlHxeOKCNwppLJz5hC4A0llx1xenVxemjg7h+YN47n05O+8bRERCbMnP1vLodIyfnpWd6+jiEgUMrPzgMeBWGCic+4PFfbfAtxOYC23/cBNzrmVZnYO8AcgASgGfuGc+zR4zADgeSCJwOfwn/px1rGIRIZB6ck8OzeXopIyEuNjvY5zRJ0uuhmp1hUcYPqqrVw1sBNJCf75YYqIRKMte4p4acE6Lj25A11aNfY6johEGTOLBSYA5xP4Q92VZlbxD3YvO+f6Ouf6A38CHg1u3wFc5JzrS+CS6JdCjvkncCPQPfh1Xt29CxGJdplpyZSUOZZu2O11lG9Rw+I4PDc3j7gYY8zQNK+jiIhEvQkzsnHOcadmV4iINwYC2c65HOdcMfAKMCp0gHNub8jTRoALbv/CObcpuH0FkGRmDcysHdDUObcgOKviReDiun4jIhK9MtICt4P322Uh1bokRP5rz8ESXsvawIX92tOmaaLXcUREotqGnYW8sng9P87oSMfkhl7HEZHolApsCHmeDwyqOMjMbiewPlsCcGYl57kU+Nw5d8jMUoPnCT1naq0lFhGpoHnDBHq2beK7hTc1w6KGXl28nsLiMt3KVETEB/7+6RrMjPFndvM6iojIMTnnJjjnuhJYeP7/he4zs97AH4Gba3peM7vJzLLMLGv79u21E1ZEolJmWjKfr9tFaVm511GOUMOiBkrLynl+bh6D0pPpk9rM6zgiIlEtd8cB3vx8I1cP6kS7ZklexxGR6LUR6BjyvENw29G8QsjlHWbWAXgbuM45tzbknKErux/1nM65p51zGc65jFatWh1HfBGRgMz0ZA4Ul7Fy896qB4eJGhY18MHyLWzaU6TZFSIiPvD4x9+QEBvDrcO7eh1FRKLbYqC7maWbWQIwGpgSOsDMQhfZuQBYE9zeHHgf+LVzbu7hAc65zcBeMxtsZgZcB7xbt29DRKLdwLRkABb5aB0LNSxqYNKcXNJSGnLWCW28jiIiEtXWbN3Hu19u4rqhnWndROsJiYh3nHOlwHhgGrAKeM05t8LMHjKzkcFh481shZktJbCOxZjD24FuwP1mtjT41Tq47zZgIpANrAU+CNNbEpEo1bZZIp2SG/qqYaFFN6tpybpdLN2wm/8d2ZvYGPM6johIVHvs429olBDHLadpdoWIeM85NxWYWmHb/SGPf3qU4/4P+L+j7MsC+tRiTBGRKmWmJfPp11txzhGY4OUtzbCopklzcmiaGMdlAzpUPVhEROrMik17mPrVFsYOS6dFowSv44iIiIhEjEHpyewqLCF7236vowBqWFTLhp2FfLh8C1cO6kSjBpqUIiLipcemf0PTxDitJyQiIiJSyzLTg+tY+OT2pmpYVMPz8/IwM8YMSfM6iohIVFu6YTcfr9rGzad3pVlSvNdxRERERCJKWkpDWjZuwGKfrGOhhkUV9hWV8OriDYzo2472zXXbPBERL/3lo9UkN0rg+qFpXkcRERERiThmxqD0ZN8svKmGRRVey8pn/6FSTT0WEfHYotydzF6zg1tP76rL80RERETqSGZaCzbtKSJ/V6HXUdSwOJaycsdzc3PJ6NyC/h2bex1HRCRqOef480eradWkAdcM7ux1HBEREZGIdWQdCx/MslDD4hg+WrGF/F0HNbtCRMRjc7MLWJS7k/FndCMpIdbrOCIiIiIRq2fbpjRJjGOxDxbeVMPiGCbNyaVjchLn9m7rdRQRkajlnOMv01fTvlkiowd29DqOiIiISESLjTEyOrfQDAs/W7phN1nrdnH90HRiY8zrOCIiUWvG6m18sX43d5zVnQZxml0hIiIiUtcGpqewdvsBduw/5GkONSyOYtKcXBo3iOPHGR28jiIiErWcc/zlo2/olNyQywaoHouIiIiEw8D0FgBkeXxZiBoWldi0+yBTv9rM6MyONEmM9zqOiEjUmrZiCys27eWnZ3UnPlb/yRIREREJh76pzWkQF8Oi3F2e5tCnv0q8MC8P5xxjhqZ5HUVEpEpmdp6ZrTazbDP7dSX77zazlWa2zMw+MbPOIfvGmNma4NeYkO0zg+dcGvxqHa73c1hZuePR6d/QtVUjLj4pNdwvLyIiIhK1EuJiOKlTcxblFXiaQw2LCg4cKuXlRes5r09bOiY39DqOiMgxmVksMAE4H+gFXGlmvSoM+wLIcM71A94A/hQ8Nhl4ABgEDAQeMLMWIcdd7ZzrH/zaVsdv5Tv+s2wT32zdz8/O7qG1hERERETCbGBaMis37WVfUYlnGdSwqOCNJfnsKypl3LAuXkcREamOgUC2cy7HOVcMvAKMCh3gnJvhnCsMPl0AHF4M4ofAdOfcTufcLmA6cF6Ych9TaVk5f/14DT3bNuGCvu28jiMiIiISdTLTkyl38Pn63Z5lUMMiRFm549m5ufTv2JwBnVtUfYCIiPdSgQ0hz/OD245mHPBBNY99Lng5yP+YWVinOLz9xUZydxzgrnN6EKPZFSIiIiJhd3KnFsTGGItyvbssRA2LEJ+s2sq6gkLGDUv3OoqISK0zs2uADOCRagy/2jnXFzg1+HXtUc55k5llmVnW9u3bayVncWk5j3+yhr6pzTi3V5taOaeIiIiI1EyjBnH0ad+UxR4uvKmGRYhJc3JJbZ7E+X3aeh1FRKS6NgIdQ553CG77FjM7G7gPGOmcO1TVsc65w/+7D3iZwKUn3+Gce9o5l+Gcy2jVqtX3fCsBry/ZQP6ug9x9bg/CPLFDREREREJkpiWzNH83RSVlnry+GhZByzfuYWHuTsYM7Uycbp0nIvXHYqC7maWbWQIwGpgSOsDMTgKeItCsCF08cxpwrpm1CC62eS4wzczizKxl8Nh44EJgeRjeC0UlZfz9k2wGdG7B8B610wARERERkeMzMD2Z4tJyluXv8eT19S/zoElzcmmUEMsVmZ28jiIiUm3OuVJgPIHmwyrgNefcCjN7yMxGBoc9AjQGXg+uSTEleOxO4LcEmh6LgYeC2xoQaFwsA5YSmHXxTDjez+RF69myt4ifa3aFiIiIiOcy05IBWJy305PXj/PkVX1my54i3vtyE9cM7kyzpHiv44iI1IhzbiowtcK2+0Men32MY58Fnq2w7QAwoJZjVqmwuJQJM9YypEsKQ7u2DPfLi4iIiEgFLRol0L11Yxbl7uT2M8L/+pphAbw4P48y57jhlDSvo4iIRK0X569jx/5D/PzcHl5HEREREZGggenJLFm3i7JyF/bXjvqGRWFxKS8vWs+5vdrQOaWR13FERKLSvqISnvpsLaf3aEVGcOqhiIiIiHhvYHoy+w+Vsmrz3rC/dtQ3LN78fCO7C0sYN6yL11FERKLWc3Pz2FVYotkVIiIiIj5zeB2LRbnhX8ciqhsW5eWO5+bk0je1GZlpLbyOIyISlfYUlvDM7BzO6dWGfh2aex1HREREREK0b55EhxZJaliE28xvtpGz4wA/OTVdq9GLiHjkmdk57Csq5e5zNLtCRERExI8GpiWzOG8nzoV3HYuoblhMnJ1L26aJjOjbzusoIiJRqWD/IZ6bm8sF/dpxQrumXscRERERkUpkpidTcKCYtdsPhPV1o7ZhsXLTXuatLeC6oZ2Jj43ab4OIiKeempXDwZIy7jq7u9dRREREROQoBqYH1rFYnBfey0Ki9l/qz87NJSk+lqsGdvI6iohIVNq2t4gX5+dx8UmpdGvdxOs4IiIiInIUXVo2omXjBBaHeR2LajUszOw8M1ttZtlm9utK9p9mZp+bWamZXVZh35/MbIWZrTKzv1lAEzNbGvK1w8z+Ghx/vZltD9n3k9p5q/+1bV8RU5Zu4rIBHWjeMKG2Ty8iItXwj5lrKSlz/PQsza4QERER8TMzI6NzMgvD3LCIq2qAmcUCE4BzgHxgsZlNcc6tDBm2HrgeuKfCsUOBU4B+wU1zgNOdczOB/iHjlgBvhRz6qnNufE3fTHUZxtWDO3Ht4M519RIiIlKFoV1TaNWkAZ1TGnkdRURERESqcMnJqfRq35TSsnLiwrSsQpUNC2AgkO2cywEws1eAUcCRhoVzLi+4r7zCsQ5IBBIAA+KBraEDzKwH0BqYfVzv4Di0atKABy7qHa6XExGRSpzbuy3nqhSLiIiI1As/7N2WH/ZuG9bXrE5bJBXYEPI8P7itSs65+cAMYHPwa5pzblWFYaMJzKgIvT/KpWa2zMzeMLOO1XktEREREREREYkcdTqPw8y6AScAHQg0Oc40s1MrDBsNTA55/h6Q5pzrB0wHXjjKuW8ysywzy9q+fXvthxcRERERERERz1SnYbERCJ3l0CG4rTouARY45/Y75/YDHwBDDu80sxOBOOfcksPbnHMFzrlDwacTgQGVndg597RzLsM5l9GqVatqxhERERERERGR+qA6DYvFQHczSzezBAIzIqZU8/zrgdPNLM7M4oHTgdBLQq7k27MrMLN2IU9HVhgvIiIiIiIiIlGgyoaFc64UGA9MI9A8eM05t8LMHjKzkQBmlmlm+cDlwFNmtiJ4+BvAWuAr4EvgS+fceyGn/zEVGhbAncHboH4J3Eng7iMiIiIiIiIiEkWqc5cQnHNTgakVtt0f8ngxgUtFKh5XBtx8jPN2qWTbvcC91cklIiIiIiIiIpEpPDdPFRERERERERGpATUsRERERERERMR31LAQEREREREREd9Rw0JEREREREREfEcNCxERERERERHxHTUsRERERERERMR31LAQEREREREREd8x55zXGb43M9sOrDuOQ1sCO2o5Tm1Qrprzazblqjm/ZjveXJ2dc61qO4wfHWctjrSfdzj4NZtfc4F/sylXzR1PNtXhqvn1Z65cNefXbMpVc37NFtbPxBHRsDheZpblnMvwOkdFylVzfs2mXDXn12x+zVXf+fX76tdc4N9sfs0F/s2mXDXn52z1mV+/r8pVc37Nplw159ds4c6lS0JERERERERExHfUsBARERERERER34n2hsXTXgc4CuWqOb9mU66a82s2v+aq7/z6ffVrLvBvNr/mAv9mU66a83O2+syv31flqjm/ZlOumvNrtrDmiuo1LERERERERETEn6J9hoWIiIiIiIiI+FDENyzM7DwzW21m2Wb260r2321mK81smZl9Ymad/ZItZNylZubMLCyrsVYnl5n9OPh9W2FmL/shl5l1MrMZZvZF8Oc5Iky5njWzbWa2/Cj7zcz+Fsy9zMxODkeuama7OpjpKzObZ2Yn+iFXyLhMMys1s8v8ksvMhpvZ0uDv/mfhyBUJ/FqL/VqHq6FJLYsAACAASURBVJtNtfhbr+vLWuzXOlydbCHjVIsjgF/rcHWyhYzTZ+Jq5FIdPq5s+kxcw1xhq8POuYj9AmKBtUAXIAH4EuhVYcwZQMPg41uBV/2SLTiuCTALWABk+CEX0B34AmgRfN7aJ7meBm4NPu4F5IXpZ3kacDKw/Cj7RwAfAAYMBhaGI1c1sw0N+TmeH65sVeUK+Zl/CkwFLvNDLqA5sBLoFHxe57/7kfDl11rs1zpcg++ZavG3X9eXtdivdbg62UJ+5qrF9fzLr3W4utmC4/SZuPq5VIdrnk2fiWv2/QpbHY70GRYDgWznXI5zrhh4BRgVOsA5N8M5Vxh8ugDo4JdsQb8F/ggU+SjXjcAE59wuAOfcNp/kckDT4ONmwKYw5MI5NwvYeYwho4AXXcACoLmZtfNDNufcvMM/R8L4+1+N7xnAHcCbQDh+v4Bq5boKeMs5tz44PmzZ6jm/1mK/1uHqZlMtDn1Rn9Ziv9bh4GurFkcPv9bhamUL0mfi6udSHa5hNn0m/jY/1eFIb1ikAhtCnucHtx3NOAJdv3CoMltwmlRH59z7YcpUrVxAD6CHmc01swVmdp5Pcj0IXGNm+QQ6kHeEIVd11PT30Cvh/P0/JjNLBS4B/ul1lgp6AC3MbKaZLTGz67wOVE/4tRb7tQ6DanFdqA+12Dd1GFSLI4xf6zD4txarDte++lCHwUe1WHUY4urqxPWNmV0DZACne50FwMxigEeB6z2OUpk4AlPghhPoPs4ys77Oud2epoIrgeedc38xsyHAS2bWxzlX7nEu3zOzMwgU52FeZwn6K/Ar51y5mXmdJVQcMAA4C0gC5pvZAufcN97Gihx+qsU+r8OgWhxRfFiHQbU4KvmpDoPva7HqcITxYS2O+joc6Q2LjUDHkOcdgtu+xczOBu4DTnfOHfJJtiZAH2Bm8JezLTDFzEY657I8zAWBbuhC51wJkGtm3xAo1os9zjUOOA/AOTffzBKBloRx+tRRVOv30Ctm1g+YCJzvnCvwOk9QBvBK8He/JTDCzEqdc+94G4t8oMA5dwA4YGazgBMBfUg+Nr/WYr/W4epkA9XimvJtLfZpHQbV4kji1zpcnWz6TFzzXKrDx8GntTjq63CkXxKyGOhuZulmlgCMBqaEDjCzk4CngJFhvgbymNmcc3uccy2dc2nOuTQC11KF40Nyld8z4B0CnWTMrCWBKUE5Psi1nkCXDzM7AUgEttdxruqYAlwXXBl5MLDHObfZ61AQWEUaeAu41k9/mXLOpYf87r8B3OaDwgzwLjDMzOLMrCEwCFjlcab6wK+12K91uMpsQarFNePLWuzXOgyqxRHGr3W4ymz6THxcuVSHa8ivtVh1OMJnWDjnSs1sPDCNwOqqzzrnVpjZQ0CWc24K8AjQGHg92Lla75wb6ZNsYVfNXNOAc81sJVAG/KKuu5DVzPVz4Bkzu4vAYkPXOxdYtrYumdlkAv+xammBawUfAOKDuZ8kcO3gCCAbKARuqOtMNch2P5AC/CP4+1/qnKvzW4VVI5cnqsrlnFtlZh8Cy4ByYKJz7pi3oRL/1mK/1uEaZFMtDuHXWuzXOlzNbJ5QLa59fq3DNcgWdqrDNefXOlzNbPpMXINc4azDFobfXRERERERERGRGon0S0JEREREREREpB5Sw0JEREREREREfEcNCxERERERERHxHTUsRERERERERMR31LAQEREREREREd9Rw0IinpldbGbOzHoGn6eZ2TFvu1OdMSIiUj2qwyIi3lMtlvpIDQuJBlcCc4L/KyIi4ac6LCLiPdViqXfUsJCIZmaNgWHAOGB0JfuvN7N3zWymma0xswdCdsea2TNmtsLMPjKzpOAxN5rZYjP70szeNLOG4Xk3IiL1j+qwiIj3VIulvlLDQiLdKOBD59w3QIGZDahkzEDgUqAfcLmZZQS3dwcmOOd6A7uDYwDecs5lOudOBFYRKPwiIlI51WEREe+pFku9pIaFRLorgVeCj1+h8ilw051zBc65g8BbBLrPALnOuaXBx0uAtODjPmY228y+Aq4GetdJchGRyKA6LCLiPdViqZfivA4gUlfMLBk4E+hrZg6IBRwwocJQd5Tnh0K2lQFJwcfPAxc75740s+uB4bWXWkQkcqgOi4h4T7VY6jPNsJBIdhnwknOus3MuzTnXEcgFOlYYd46ZJQevx7sYmFvFeZsAm80snkA3WUREKqc6LCLiPdViqbfUsJBIdiXwdoVtbwL3Vti2KLh9GfCmcy6rivP+D7CQQBH/uhZyiohEKtVhERHvqRZLvWXOVZz5IxI9gtPXMpxz473OIiISjVSHRUS8p1osfqUZFiIiIiIiIiLiO5phISIiIiIiIiK+oxkWIiIiIiIiIuI7aliIiIiIiIiIiO+oYSEiIiIiIiIivqOGhYiIiIiIiIj4jhoWIiIiIiIiIuI7aliIiIiIiIiIiO+oYSEiIiIiIiIivqOGhYiIiIiIiIj4jhoWIiIiIiIiIuI7aliIiIiIiIiIiO+oYSEiIiIiIiIivqOGhYiIiIiIiIj4jhoWIiIiIiIiIuI7aliIiIiIiIiIiO+oYSEiIiIiIiIivqOGhYiIiIiIiIj4jhoWIiIiIiIiIuI7aliIiIiIiIiIiO+oYSESwswam9l+M/ugkn15ZnYwuH+rmT1vZo29yCkiUp8E62exmbWssP0LM3NmlhasqcXBGrvTzKabWc+QsdebWVlw/14z+9LMLgz/uxERqT+C9ffso+wzM8sxs5XVOS5Yh+eEPE8wswfNbI2ZHQge86yZpdX2+5DopYaFyLddChwCzjGztpXsv8g51xg4GcgA/l84w4mI1GO5wJWHn5hZX6BhhTF/CtbYVGAjMKnC/vnB/c2BfwCvmFnzuossIhLRTgNaA13MLPM4jn8DGAlcBTQDTgSWAGfVWkKJempYSEQLdnp/YWbLgp3fSWbWxsw+MLN9ZvaxmbUIOWQM8CSwDLjmaOd1zm0EPgD61O07EBGJGC8B14U8HwO8WNlA59xB4DWg/1H2lwfP1wjoXrsxRUSixhjgXWBq8HG1BWdfnAOMcs4tds6VOuf2OOcmOOcqNptFjpsaFhINLiVQUHsAFxFoNPwGaEXg/wN3AphZZ2A48O/g13WVnIvg2I7ACOCLOswtIhJJFgBNzewEM4sFRgP/qmygmTUiMBsj+yj7Y4EbgBJgXd3EFRGJXGbWELiM/37uHW1mCTU4xdnAIufchrrIJ3JYnNcBRMLg7865rQBmNhvY5pz7Ivj8bf47be1aYJlzbqWZ7QH+ZGYnHR4b9I6ZlQJ7gPeB34XtXYiI1H+HZ1l8BqwicNlHqHvMbDzQlEAjYlSF/YPNbDeBmRWlwDXOuW11G1lEJCL9iMBl0B8R+DdhPHAB8HY1j08BNtdNNJH/0gwLiQZbQx4frOT54YUzryPQYT58ycdnfHd63MXOuebOuc7OuduC05ZFRKR6XiJwrfP1VH45yJ+dc82BNAL1+QcV9i8I7m8BTAFOrbOkIiKRbQzwWvBSjiLgTb79ubeUQBMjVDyBmW0ABUC7Ok8pUU8NCxHAzIYSuA76XjPbYmZbgEHAVWammUgiIrXAObeOwOKbI4C3jjFuPfBT4HEzS6pk/37gVuBaMzupjuKKiEQkM+sAnAlcE/K59zJgRMjdnNYTaB6HSue/l+F9DAwMnkukzqhhIRIwBpgO9CKwyFt/AgtqJgHne5hLRCTSjAPOdM4dONYg59x0YBNw01H27wQmAvfXekIRkcgSb2aJh78IrAH0DYFZbIc/9/YA8vnv3ZxeBX5mZj2Dtz/NAMYCrwA45z4m8Nn5bTMbYGZxZtbEzG4xs7HhfXsSyfSXY5GAHwPXOee2hG40s5cINDPe8ySViEiEcc6trcHwR4BHzezJo+z/K7DWzPo555Z9/3QiIhFpaoXna4HHK/nc+ySBz71/B54hcPnde0AbAs2M+5xzH4YcchlwH4HmRjtgB4EmxkN18B4kSplzzusMIiIiIiIiIiLfoktCRERERERERMR31LAQEREREREREd9Rw0JEREREREREfEcNCxERERERERHxHTUsRERERERERMR3IuK2pi1btnRpaWlexxAR+Y4lS5bscM618jpHOKgWi4gfqQ6LiHjveGtxRDQs0tLSyMrK8jqGiMh3mNk6rzOEi2qxiPiR6rCIiPeOtxbrkhARERERERER8R01LERERERERETEd9SwEBERERERERHfiYg1LETEv0pKSsjPz6eoqMjrKHUqMTGRDh06EB8f73UUEZHviIZarDosIn4SDXW3MrVdi9WwEJE6lZ+fT5MmTUhLS8PMvI5TJ5xzFBQUkJ+fT3p6utdxRES+I9JrseqwiPhNpNfdytRFLdYlISJSp4qKikhJSYnoQm1mpKSkRF0HXUTqj0ivxarDIuI3kV53K1MXtVgNCxGpc9FQqKPhPYpI/RbpdSrS35+I1D/RWJdq+z2rYSEiEuLiiy9m8ODB39r24IMPkpqaSv/+/enTpw9TpkzxKJ2ISP1lZlxzzTVHnpeWltKqVSsuvPBCAJ5//nlatWpF//796dmzJ4899tiRsaF1uFevXkyePDns+UVE6pvGjRsfdd/PfvYzUlNTKS8vP7LtwQcf5M9//vO3xqWlpbFjxw4AtmzZwujRo+natSsDBgxgxIgRfPPNN3UTPkgNCxGRoN27d7NkyRL27NlDTk7Ot/bdddddLF26lNdff52xY8d+q7iLiEjVGjVqxPLlyzl48CAA06dPJzU19VtjrrjiCpYuXcrcuXN5+OGH2bBhw5F9h+vwu+++y80330xJSUlY84uIRIry8nLefvttOnbsyGeffVatY5xzXHLJJQwfPpy1a9eyZMkSfv/737N169Y6zaqGhYhEvLy8PHr27Mn1119Pjx49uPrqq/n444855ZRT6N69O4sWLQLgrbfe4qKLLmL06NG88sorlZ7rhBNOIC4u7kinWUREqm/EiBG8//77AEyePJkrr7yy0nEpKSl069aNzZs3f2df9+7dadiwIbt27arTrCIikWrmzJn07t2bW2+9tdoz1mbMmEF8fDy33HLLkW0nnngip556al3FBHSXEBEJo/99bwUrN+2t1XP2at+UBy7qXeW47OxsXn/9dZ599lkyMzN5+eWXmTNnDlOmTOF3v/sd77zzDpMnT+b++++nTZs2XHrppfzmN7/5znkWLlxITEwMrVq1qtX3ISISLl7W4tGjR/PQQw9x4YUXsmzZMsaOHcvs2bO/M279+vUUFRXRr1+/7+z7/PPP6d69O61bt66V7CIidc3LuluZww3jUaNG8Zvf/IaSkpIqb0O6fPlyBgwYcFyv931ohoXUe2XlzusIUg+kp6fTt29fYmJi6N27N2eddRZmRt++fcnLy2Pr1q2sWbOGYcOG0aNHD+Lj41m+fPmR4x977DH69+/PPffcw6uvvhqViyiJHI1zjnLVYqmGfv36kZeXx+TJkxkxYsR39r/66qv069ePbt26cdttt5GYmHhk32OPPUbv3r0ZNGgQ9913Xzhji0iEKimLvkt8i4uLmTp1KhdffDFNmzZl0KBBTJs2DTj6gplefu7VDAup19Zs3cePn5pPvw7N+b+L+9AxuaHXkeQYjrcLXBsaNGhw5HFMTMyR5zExMZSWlvLaa6+xa9euI/eM3rt3L5MnT+bhhx8GAtdO33PPPeEPLlIPPDr9G56fl8cdZ3ZjzNA0GsTFeh1JjsHLWgwwcuRI7rnnHmbOnElBQcG39l1xxRU88cQTZGVlce655zJy5Ejatm0L/LcOT5kyhXHjxrF27dpvNTRERKqjvNzx2ZrtPDsnl4U5O3loVG9GD+xUp6/pdd0NNW3aNHbv3k3fvn0BKCwsJCkpiQsvvJCUlJTvXIq3b98+mjdvTu/evXnjjTfCnlczLKTe2nWgmHEvZAGQlbeTcx+bxTOzciiNwk6pfH+TJ0/mww8/JC8vj7y8PJYsWXLUdSxE5L/ydhzgyc/WkhQfy++mfs25j83iw+VbcE4zLqRyY8eO5YEHHjjyYbkyGRkZXHvttTz++OPf2Tdy5EgyMjJ44YUX6jKmiESYg8Vl/HvhOs796yxueG4x32zdR5/Upvz6ra/487TVUfPfrcmTJzNx4sQjn3lzc3OZPn06hYWFnHbaaUyZMoV9+/YBgfXdTjzxRGJjYznzzDM5dOgQTz/99JFzLVu2rNLL+mqTGhZSL5WUlXPrv5ewZW8Rk67PZPrdp3NKtxQenrqKURPm8lX+Hq8jSj2Sl5fHunXrvnU70/T0dJo1a8bChQs9TCbif7+buoqE2Bj+c8cwXhw7kAZxMdzyryVc+cwClm9ULZbv6tChA3feeWeV4371q1/x3HPPHfngHOr+++/n0Ucf1R2bRKRK2/YW8edpqxn6h0+47+3lJMXH8tcr+jP7l2fy2s1DuHJgR56Ykc1dry7lUGmZ13FrVWFhIR06dDjy9bvf/Y4PP/yQCy644MiYRo0aMWzYMN577z369evH+PHjGTZsGP379+fJJ59k4sSJQOCykLfffpuPP/6Yrl270rt3b+69994js+DqikVCJykjI8NlZWV5HUPCxDnHfe8s5+WF63n0xyfyo5M7HNn+wfItPDBlBQX7DzH2lHTuOqcHjRroyicvrVq1ihNOOMHrGGFR2Xs1syXOuQyPIoWVanH0mZe9g6smLuQXP/wBt5/RDYDSsnJeWbyBR6d/w67CYi4f0IF7fvgDWjfR1H0vRUstVh1WHRY5bPnGPTw7J5f3lm2itNxxzglt+MmpXchMa/GtNRmcc/xj5loembaawV2SeeqaDJo1PPYClNURLXW3MrVZizXDQuqdF+ev4+WF67nl9K5HmhUQ6PqN6NuOj+8+ndEDOzFxTi7nPjaLGau3eZhWRCQylZU7HvrPSlKbJzFuWPqR7XGxMVwzuDMz7hnOT4al8/YXGznjkZlMmJFNUUlk/eVK5DAzO8/MVptZtpn9upL915vZdjNbGvz6Sci+P5rZ8uDXFZUc+zcz21/X70EkEpSVOz5asYUrnprPhX+fw7QVW7h6UGdm3jOcp6/LYGB68ncWkDQzbj+jG4+P7s+Sdbu49Ml55O8q9OgdSEVqWEi9MnvNdh76z0rOPqE1v/zhDyod0ywpnt9d0pfXbxlCUkIsNzy3mDsmf8H2fYfCnFZEJHK9lrWBr7fs494RPUmM/+4im82S4rnvgl5Mv+t0TunWkkemreasv3zGe19uiprrhCU6mFksMAE4H+gFXGlmvSoZ+qpzrn/wa2Lw2AuAk4H+wCDgHjNrGnLuDKBFXb8HkfruwKFSnp+by5l/mclNLy0hf9dB7htxAvPuPYsHR/amc0qjKs8xqn8qL44dxLa9RVzyj3m6xNwn1LCQeiNn+35u//fndGvVmL+OPomYmGPfXiczLZn37xzGXWf3YNryLZz96Ge8tniDPiiLiHxP+4pK+MtHq8no3IIL+rY75ti0lo14+roMXr5xEE2T4rlj8hdc/uR8vtywO0xpRercQCDbOZfjnCsGXgFGVfPYXsAs51ypc+4AsAw4D440Qh4BflkHmUUiwqbdB/n91FUM/v0nPPjeSlIaJTDhqpP57BfDufG0LjRLqtmlHUO6pvDmrUNJiI3hiqfnM+NrzdT2mhoWUi/sKSzhJy9kERcbw8QxGTSu5roUDeJi+enZ3Zn602H8oE0TfvnmMq58ZgE52zWzMpyioUkUDe9R5LAJM9ayY38x91/Uq9r3Zh/atSX/uWMYf7y0L3kFhYyaMJe7X13Klj1FdZxWDov0OuXh+0sFNoQ8zw9uq+hSM1tmZm+YWcfgti+B88ysoZm1BM4ADu8bD0xxzm2u5FwiUe2L9bsY//LnnPqnGUyck8tpPVrx1m1Deeu2U7igXzviYo//n7nd2zTh7duH0qVVI8a9sJh/L1x33OeK9Lpbmdp+z1qNUHyvtKyc8ZM/Z8OuQv79k8F0TG5Y43N0a92EV24azKtZG/jd1FWc9/hs7jijGzef3pWEOPXt6lJiYiIFBQWkpKRU+x829Y1zjoKCAhITtaigRL71BYU8OyeXH52cSr8OzWt0bGyMcUVmJy7o155/zMhm4pxcPli+hZtP78LNp3UlKeG7l5ZI7Yj0WlwP6vB7wGTn3CEzuxl4ATjTOfeRmWUC84DtwHygzMzaA5cDw6s6sZndBNwE0KlTpzqKL+K90rJypq3YyqQ5OXy+fjdNEuMYNyydMUPTSG2eVKuv1bpJIq/eNIQ7Jn/BfW8vJ3/XQX5x7g+qnOEdKtLrbmXqohbrLiHiew9OWcHz8/L446V9uSLz+/+HeNu+Iv73vZW8v2wz3Vs35g+X9mVA5+RaSCqVKSkpIT8/n6KiyP4ramJiIh06dCA+/ttTD7U6vUSaW/+1hJmrtzPjnuG0bfb9PpBs2FnIHz78mveXbaZds0R+ed4PGHViao0+EEr1REMt9qoOm9kQ4EHn3A+Dz+8FcM79/ijjY4Gdzrlmlex7GfgXYMAk4PAPrBOQ45zrdqwsqsMSifYWlfDqog08Py+PjbsP0jmlITcMTeOyjI7VnnV9vErLynlgygr+vXA9F53Ynj9f3o8GcdVrrkdD3a1MbddizbAQX3t54Xqen5fHuGHptdKsgEDHdMJVJ/Ojk7byP+8s57In53P1oE788ryeNE38/rcwkm+Lj48nPT296oEi4nsLcgr4YPkW7j6nx/duVgB0TG7IhKtO5vqhO/ntf1Zy16tf8vy8ddx/4QlqJNcy1eI6tRjobmbpwEZgNHBV6AAzaxdyacdIYFVweyzQ3DlXYGb9gH7AR865UqBtyPH7q2pWiESa9QWFPDs3l9ezNnCguIxB6ck8cFEvzjqhDbFhamzHxcbwfxf3oWNyQ/7wwdds3VvE09cOoHnDhCqPVd2tHWpYiG8tyCng/neXc3qPVtx7fs9aP/9ZJ7RhcJcU/vLRNzw/L5fpK7fyvyP7cF6ftlUfLCISZcrKHb/9z0raN0vkxlO71Oq5M9OSeee2U3j7i438adrXXPrP+Vx0Ynt+dd4P6NCi5pcBioSTc67UzMYD04BY4Fnn3AozewjIcs5NAe40s5FAKbATuD54eDwwOzhdfC9wTbBZIRKVnHMsztvFpDk5fLRyK7FmXHRie8YNS6dP6ncmJYWFmXHL6V1JbZ7Ez1/7kh/9cx4v3DDwuC5Tl5rTJSHiS+sLChk1YQ7JjRJ4+/ZT6nzmw5cbdvPrt75i1ea9nNurDf87qjftmtXutXASnXRJiESK17I28Ms3lvH46P6M6l/ZeoK1o7C4lCc/y+HpWWtxDm48tQu3Du9Kozqe9iuRS3VYxP+KS8uZ+tVmJs3J5auNe2jeMJ6rB3XiuiFptGnqn7VpFuXu5MYXs4iPNSaNyeTEjjVbyymaHW8t1mqD4jv7ikoY98Jiyh1MHJMZlss0TuzYnCnjT+He83sya812znl0Fi/Oz6OsvP439EREvq/9h0p5ZNpqTurUnJEntq/T12qYEMfd5/Tg058P5/w+bXliRjbD/zyT17I2UK6aLCISUXYXFjNhRjan/ulTfvbqUgqLS3n4kj7M//VZ/OKHPX3VrAAYmJ7Mm7cOJSkhltFPL2D6yq1eR4p4aliIr5SVO376ylJydhzgn1efTHrLRmF77fjYGG4+vSvTfnYaJ3Vqzv3vruCyJ+fx9Za9YcsgIuJH/5yZzfZ9h/ifC6t/G9Pvq33zJP46+iTevm0oHVok8cs3lnHRE3NYkFMQltcXEZG6s3b7fu57+ysG//4THpm2mh5tmvDcDZlMv+t0rh7U2dd3jerWujFv3XoKPdo05uaXsnhxfp7XkSKa5leKr/zpw6/59Ott/PbiPgzt1tKTDJ1TGvHi2IG8s3Qjv/3PKi782xxuOb0r48/sRmK8f4uniEhd2LCzkGdm53Jx//ac3KlF2F//pE4teOvWoby3bDN/mLqK0U8v4Lzebbl3RE86p4SvqS0iIt+Pc4652QVMmpPDjNXbSYiL4ZL+qYwdls4P2jbxOl6NtGrSgMk3DebOyV9w/7sryN91kF+f11N3uaoDaliIb7yxJJ+nZuVw7eDOXDu4s6dZzIxLTurA6T1a8/D7q3hiRjbvf7WZhy/pw9Cu3jRSRES88McPvybG4Jfn1f7ix9VlZow8sT3n9mrDM7Ny+Odna/n00W3/n737jo+qSv84/jnpPSEkkEZNQgmBBAiIIL2IokTAhqLYFQVUdFddV11dy66uYlmsWLAhCChFBBQpCiKQkEJCCxAgCSEhIYX0ZM7vjwz7i4i0lDvleb9e88rMnbmX72gyc+eZc57D7YM68sCICFnhSQghLFhVbR1Lk3L46JeD7M4tJcDLhYdGRTJlQAcCvFyNjnfRPFyceO+WOJ5dnsb7Gw+QfaKCV6+PkS84m5gULIRFSDhUyN+WpDIoojVPXx1ldJz/8fd04dXrY5jYJ5S/fZPKTR/8xnV9w/jbld1p5Xnu5YyEEMKabc8sZEXKUR4cGUmIn/GNiN2cHZkxMpLr+7XjldV7eP/nAyxKyGLWmC7c2K99iy1zJ4QQ4vxszjjOE9+kcqignG5B3rx8bS/Gx4TYzId6RwfFs+N70K6VBy+s3MWxkko+uDVOPic0IelhIQyXdaKcez9LIMTPjTk39cHZ0fJ+LQdFBLD6oSFMGxbOkh3ZjHptA0uTsrGFVXaEEOJMTCbNcyvSaevjyr1Dm3YZ08Zq6+PGf66LYdkDlxEe6MWT3+xk3Js/88u+40ZHE0IIQX0zzb98ncxNc39DAZ/c3o/vHxzM9XHtbKZYcYpSiruHdGbOTX1IyS5m0jubOVRQZnQsm2F5nwyFXSmrquXuTxOoqjUxd2o//Dwstxrp5uzIY2O7sWLGZYT5e/DgV0lM/XgbRwrLjY4mhBBN7psd2aRkFfPY2G54uFjmgMyeH4MlpQAAIABJREFUYb4suHcA79zch7LqWqZ8+Bt3zdvGgfyTRkcTQgi7pLVmRUoOo17bwJId2UwbFs6qh4YwrGubFmvabJRxvYL58q5LKCyvZuLbm9lx+ITRkWxCowoWSqmxSqk9SqkMpdTjZ7h/llIqXSmVopRaq5Tq0OC+qUqpfebL1Abb15uPmWS+tGlMRmG5TCbNrIVJ7Mkt4a3JvYlo42V0pPPSPdiHJdMG8o+ro0jILGTM7I28v3E/tXUmo6MJIUSTKK+u5eXVu4kJ8+Wa2FCj45yVUooregbzw8NDefyKbmw5UP+6/NzydIrLa4yOJ4QQdiOnqIK75m1n+pc7CPFzZ9n0QTw2tpvNjag4m7iO/iyZNhBPVycmf7CF1Wm5RkeyehddsFBKOQJzgCuAKGCyUur05gM7gDitdS9gEfCyeV9/4BngEqA/8IxSqmHr8Zu11rHmS97FZhSWbfaPe1mddownx0UxrKt11aUcHRS3DerED7OGMiiiNS+u3E38nE2kZhUbHU0IIRrt3Q0HOFZSxdNXR1lNx3M3Z0fuGxrOukeHcV1cOz7ZfJCh/1nHx5sOkpFXSnl1rdERhRDCJplMmk9/zWT0axvYvL+Av4/rzpJpA+kR4mt0NEN0DvRiyf0D6Rbkw32fJ/DxpoNGR7JqjRnj2R/I0FofAFBKfQXEA+mnHqC1Xtfg8VuAKebrlwM/aK0Lzfv+AIwF5jcij7AiS5OyeeunDG6Ia8cdgzoaHeeihfi588Gtcazamcszy9KIn/MLdwzqxMOju+DpaplDqIUQ4myyiyp4b8N+ro4JoW8Hf6PjXLBAb1demtiTWwZ04Pnv0nl2+f9OS/DzcCbUz50QP3fzTzdC/TzMP90J8HK1mgKNEEJYgr3HSnl8cQqJh4sYHBnAixN60s7fw+hYhgvwcmX+3QN48KsdPLs8nawTFTx5ZXd5j7kIjflEFQocaXA7i/oRE3/mTuD7s+zbcMzpx0qpOmAx8LyWzoY2JelIEX9ZlEL/jv7885poq5/Pdmo48sCIAF5etZu5vxzk+525PD8hmuFWNnJECCFeXrUbgMfGdjU4SeNEhfjwxV2XkJJVTGZBGdlFFeQUVZB9ooLDBeX8ur+Ak1W/H3Xh7KgI9nVvUNRwq//Zqv52iK877i72M7RZCCH+TFVtHXPW7eed9Rl4uTox+4YYrokNtfrz+qbk7uLIO1P68s8V6Xz4y0GyT1Tw+o2xdjVFpim0yFfASqkpQBww9DwefrPWOlsp5U19weIW4NMzHPMe4B6A9u3bN2Fa0Zxyiyu559PttPF25Z0pfXBxsp2+r77uzrwwoSfX9A7liSWp3P7xNq6IDuKRMV2tpj+HEMK+JRw6wdKkHKYPjyCslfV/Q6aUIqadHzHt/M54f0llDdkn6gsZOUUVZBdVmn9WsHn/cY6VVGI67SsTf0+X/43I+P+RGv//M8DLRU7YhRA2bXtmIY8vSSUj7yTXxIbw1FVRtPZyNTqWRXJ0UPxjfA/a+Xvw/Hfp3PTBFj64NU7+e12AxhQssoF2DW6Hmbf9jlJqFPAkMFRrXdVg32Gn7bseQGudbf5ZqpT6kvqpJ38oWGit3wfeB4iLi5MRGFagorqOez7bTllVLZ/eOdBm/1D7dfTnu5mX8f6GA7y7YT+r03KZ0DuMB0dG0r619X8AEELYJpNJ888V6QR6uzJtWLjRcVqEj5szPsHOdA/2OeP9NXUmjpVUklNUSXZRuflnfXHjQH4ZP+87Tnl13e/2cXFyIMTX7YzFjNBW7gT7usm3a0IIq1RaWcO/V+3m8y2HCfVz55Pb+1ldHzqj3HlZJ0L93HjwqyQmvbOZT27vT8cAT6NjWYXGFCy2AZFKqU7UFyBuBG5q+AClVG/gPWDsac0zVwMvNmi0OQZ4QinlBPhprY8rpZyBq4AfG5FRWAitNX9ZlExqdjEf3BJHt6AznxzaClcnR2aMjOSmS9rz3sYDzNucydKkbK6La8eMERGE+LkbHVEIIX5neUoOSUeKeOXaXtKDx8zZ0YGwVh7m0SZ/7OehtaakopZs86iM/x+pUf9z47588kqrOH1ia4CXCyF+7twxqBPX9LbsVViEEAJgTVouTy9NI6+0kjsGdeKRMdKv7UKNjQ7my7vduPvT7Ux4exNzp8ZZZa+olnbRv2Va61ql1HTqiw+OwEda6zSl1HPAdq31MuAVwAv42jw88rDWerzWulAp9U/qix4Az5m3eQKrzcUKR+qLFR9c9LMTFuOtnzJYkXKUx6/oxqiotkbHaTGtvVz525XdueuyTsxZl8GXWw+zOCGLmy5pz/3Dw2nj7WZ0RCGEoKK6jn99v5voUB8m9QkzOo7VUErh6+GMr4czUSFnLsRX19aP0mjYQyOnuIKtBwt58ptUhnYJpJWnSwsnF0KI85NXWsk/lqWxMjWXbkHevHtLX2L/ZJqdOLe+HVqxZNpAbvt4K5M/+I03bojlip7BRseyaMoW+lnGxcXp7du3Gx1D/InvU48y7YtEJvYO5dXrY+x6bm/WiXL++1MGXydk4eyomDqwI/cNCZeTVRumlErQWscZnaMlyGux9Xrjx33M/nEvC++9lP6d5NuelrA7t4Sxr//MzBERzBpj3Q1OLZ28Dgtx4bTWLNh2hBdX7qKy1sSDIyO5Z0hnnB1tp/+ckQrLqrlr3jZ2HCniySu7c+dlnWz+M9LFvhbLb5xoVjuzi5m1MJne7f14cWJPm/9DPJewVh78a1Iv1s4aypXRwby/8QCDX17Haz/spbiixuh4Qgg7dLS4gnc37OfKnkFSrGhB3YJ8GNsjiI83Z1JSKa//QgjLcfB4GZM/2MLjS1LpHuzDqgcH88DwCClWNCF/Txe+vHsAY3sE8fx3u3h2eTp1p3d5FoAULEQzyiut5O5Pt9PKw5n3bukrTcYa6BjgyWs3xLLmoSEM7RLIm2v3MeTldcxZl0HZacvsCSFEc3pl1R7qTJonruhudBS7M31EBKWVtczblGl0FCGEoKbOxJx1GVz++kbSckp4aWJP5t89gM6Bstpdc3BzdmTOTX2467JOfLI5k/s+T6DitEbOQgoWoplU1tRx72cJFJXX8P6tcdKr4U9EtvVmzs19+G7mZfTr2IpXVu9hyMvrmPvzASpr5AVLCNG8ko8UsWRHNncO7kQ7f1nFqKVFh/oyslsbPtx0kJNSrBZCGCj5SBFXv/ULr6zew8hubVg7ayiT+7fHwcG+R0c3NwcHxd+viuKZq6P4cdcxbvxgC8dPVp17RzsiBQvR5LTW/G1JKjsOF/Ha9TFEh/oaHcni9QjxZe7Ufnxz/0CiQnx4/rtdDHl5HZ/9mklVrRQuhBBNT2vNcyvSCfBy5X47WcbUEs0YGUlReQ2fbzlkdBQhhB0qr67lnyvSmfD2Jk6UV/PeLX15Z0pf2vjIl40t6fZBnXh3Sl/25JYw8e3N7M8/aXQkiyEFC9Hk3tt4gCU7spk1uot0vb1Avdu34rM7L+GrewbQsbUnTy1NY8R/NrBw2xFq60xGxxNC2JAVKUdJOHSCR8d0wdvN2eg4diu2nR+DIwP4YOMByqtllIUQouVs2JvPmNkb+fCXg9x0SXt+mDWUy3sEGR3Lbl3eI4j5dw+grKqWSe9sZsfhE0ZHsghSsBBN6sf0Y/x71W6u6hXMjBERRsexWgM6t2bBvQP49I7+BHi78tfFKYx6bQPf7siWhjxCiEarrKlfxrR7sA/XxbUzOo7dmzkykoKyar787bDRUYQQdqCwrJqHFyQx9aOtuDo58PV9l/L8NT3xkeK14Xq3b8WS+wfi4+bMPZ8lkFdaaXQkw0nBQjSZ3bklPPjVDnqG+vLKtfa9fGlTUEoxpEsg394/kLm3xuHu4sRDC5IY+/pGvk89ikkKF0KIizT35wNkF1Xw1FXdcZT5yYbr19GfAZ39eX+j9C8SQjQfrTXf7Mhi5KvrWZGSw8yRkax8cDD9OsoKUZakQ2tPPrg1jpOVtUz/cofdj7KWgoVoEgUnq7hr3nY8XZ14/5Y43F1kRZCmopRiVFRbvptxGXNu6oNJa6Z9kcjV//2Fn3YfQ2spXAghzl9eSSVvr9/P5T3aMjA8wOg4wmzmyEjySqtYuP2I0VGEEDboSGE5Uz/exsMLkukY4MmKGYOZNboLrk5yzm6JugZ589LEnmw9WMgrq/cYHcdQTkYHENavutbEtM8TyS+tYsG9lxLkK016moODg2Jcr2DGRgexNCmb13/cxx2fbKd3ez8eGd2VQRGtZVSLEOKcXlm9h5o6E3+7UpYxtSSXdm5NXIdWvLt+Pzf2a4+Lk3ynJIRovDqT5uNNB3l1zV4cFDw7vgdTBnSQ0XVW4JreoSQcOsF7Gw/Qu70fY6PtszegvBuKRtFa89S3O9maWcjL1/Yitp2f0ZFsnqODYmKfMNY+MpSXJvYkt7iSKR/+xo3vb2HrwUKj4wkhLFhqVjGLErO4fVAnOrT2NDqOaEApxYyRkeQUV7I4McvoOEIIG5CeU8LEtzfx/He7uDS8NT/MGsrUgR2lWGFF/n5Vd2La+fHo1ykcsNOVQ6RgIRrlo02ZLNh+hOnDI4iPDTU6jl1xdnRgcv/2rHt0GP+4Oor9+WVc/96v3PrRVpKPFBkdTwhhYbTW/HNFOv4eLkyXpsgWaUhkADFhvsxZl0GNnc9ZFkJcvMqaOl5etZvx//2F7KIK3prcmw+nxhHi5250NHGBXJ0cefvmPjg7KqZ9nmiXq0lJwUJctPV78njhu3Qu79GWWaO7GB3Hbrk5O3LboE78/Nfh/O3KbqRmFRE/ZxN3zdtOek6J0fGEEBbi+525bM0sZNaYLtIJ3kIppZgxIpKsExV8uyPb6DhCCCv06/4CrnjjZ95ev58JvUP5cdZQro4JkWnDVizUz503buzN3rxSnvxmp931r5OChbgoGXknmfHlDroG+fDa9bE4yNAyw7m7OHLPkHB+fmwEj4zuwm8HC7jyzZ954MtEMvJKjY4nhDBQZU0dL32/i25B3twgy5hatJHd2xAV7MPb6/fLMtZCiPOmtebppTuZ/MEW6kyaz++8hFeui8HPw8XoaKIJDOkSyMOjuvDNjmw+t7MlsKVgIS5YUXk1d83bhquzAx/c2hdPV+ndakm8XJ2YMTKSX/46gunDI1i3O48xszcya2EShwrKjI4nhDDAx5syOVJYwVNXReHkKG/9lkwpxcyRERw8XsaKlByj4wghrETi4SI+/fUQk/u3Z/VDQ7gsUlaBsjXTh0cwvGsgzy1PI8mOpn/LWYu4IDV1Ju7/IpGcokreu6UvYa08jI4k/oSvhzOPXt6Vn/86nDsv68R3KUcZ+eoGnliSQnZRhdHxhBAtJK+0kjnrMhjVvQ2DIuQE1hqMiQqia1tv/vtTBiYZZSGEOA+LE7Nwc3bgb1d2w91Fliq1RQ4Oitk3xNLWx437P0+gsKza6EgtQgoW4oI8tzydzfsLeHFiT/p28Dc6jjgPrb1ceXJcFBv/OpybL2nPooQsRr66noPHZbSFEPbgtTV7qaypk2VMrYiDg+KBERHsyzvJqrRco+MIISxcZU0dK5JzGNsjCG/pUWTT/DxceOfmvhwvq+bBr3bYxdRBKViI8/bZr5l8tuUQ9w7pzLV9w4yOIy5QWx83no2PZvVDQ6iuNbFEls0Twual5RSzYPsRpg7sSOdAL6PjiAswrmcwnQM9eXPtPhllIYQ4q7W78iiprGWSnJ/bhZ5hvjw3vgc/7zvOG2v3GR2n2UnBQpyXn/fl84/l6Yzo1oa/ju1mdBzRCJ0DvRgUEcDSpBy76zIshD05tYypn7szM0dEGh1HXCBHB8UDwyLYnVvKj7uOGR1HCGHBFidmEeTjxsBwmfZnL27o147r+obx5tp9rNudZ3ScZiUFC3FOqVnF3PdZApFtvHjjxlgcZUUQqzc+JoTDheV21bBHCHuzJv0YWw4UMmt0F3w9ZIiwNYqPDaG9vwdv/ZQhBWYhxBnll1axYW8+1/QOlXN0O6KU4p/XRNM92IeHFiRxpLDc6EjNRgoW4qwyj5dx28db8fNwYd4d/WVenI24PDoIFycHliZJB3ohbFFVbR0vrtxFZBsvJvdvb3QccZGcHB14YHg4qdnFrN+bb3QccRZKqbFKqT1KqQyl1ONnuP82pVS+UirJfLmrwX3/VkrtNF9uaLD9C/MxdyqlPlJKyUmY+IOlSdnUmTTX9g01OopoYW7Ojrw7pQ8mrZn2RQKVNXVGR2oWUrAQfyqvtJJbP9qKSWs+vbM/bX3cjI4kmoiPmzMju7VhRcpRautMRscRjXSxJ8pKqeENtiUppSqVUteY7+uklPrNfMwFSilZyN2KzNucyaGCcv4uy5havQm9wwj1c+ettftklIWFUko5AnOAK4AoYLJSKuoMD12gtY41X+aa9x0H9AFigUuAR5VSPubHfwF0A3oC7sBdZzimsHOLErKICfMloo230VGEATq09mT29bHszC7h2eVpRsdpFnIWI86otLKG2z/eRn5pFR/d1o9wadZmc+JjQzh+sopfDxQYHUU0QmNOlLXW605tA0YA5cAa8+P/DczWWkcAJ4A7m/u5iKZx/GQVb63NYHjXQIZ2CTQ6jmgkFycH7hsWTuLhIjbvl9drC9UfyNBaH9BaVwNfAfHnuW8UsFFrXau1LgNSgLEAWuuV2gzYCkhHRfE7aTnF7M4tlWabdm5UVFseGB7O/K1HWLj9iNFxmpwULMQfVNXWcd/nCezJLeXtKX3o3b6V0ZFEMxjWtQ3erk4yLcT6NeZEuaFrge+11uVKKUV9AWOR+b55wDVNklY0u9k/7KW8po4nx52pbiWs0XV9w2jr48qbdtAN3kqFAg0/JWSZt51uklIqRSm1SCnVzrwtGRirlPJQSgUAw4F2DXcyTwW5BVjV9NGFNVuckI2zo+LqXiFGRxEGmzW6K4MiWvPUtztJyyk2Ok6TkoKF+B2TSfPIwmQ2ZRTw70m9GN61jdGRRDNxc3ZkbHQQq3bm2uycNzvRmBPlhm4E5puvtwaKtNa15zgmSql7lFLblVLb8/Nljr3RdueWMH/rYW4Z0IGINjIyzla4OTty75BwfjtYyG8yKs5aLQc6aq17AT9QXwhGa70GWAlspv41+Ffg9Dflt6kfhfHzmQ4sr8P2qabOxNKkbEZ2a0srT5m1ae8cHRRv3NibVh4uTPs8keKKGqMjNRkpWIj/0Vrz3Ip0VqQc5fErusnwMjsQHxvKyapam18OSZz5RPkUpVQw9XOkV1/ogbXW72ut47TWcYGBMv3ASKeWMfV2c+ahUbKMqa2Z3L89AV4uvPVThtFRxB9l8/tREWHmbf+jtS7QWleZb84F+ja47wXz9LzRgAL2nrpPKfUMEAjM+rN/XF6H7dPGvfkUlFXL+br4nwAvV+bc3IecogoeWZiEyWQbfY+kYCH+550N+/lkcyZ3XtaJe4d0NjqOaAGXhrcmwMuVZckyLcSKNepE2ex64But9alyfAHgp5Ry+rNjCsuzdlcemzIKeGhUJH4e8m2brXF3ceSeIZ35JeM4iYdPGB1H/N42INLcrNiF+hFryxo+wFwYPmU8sMu83VEp1dp8vRfQC3MvIXOD5MuByVpr6ZAtfmdxYhb+ni4M6ypFKvH/+nZoxd/HdefHXXm8s2G/0XGahBQsBABfbz/Cy6v2EB8bwpNXdqd+CruwdY4Oiqt6BbN2dx4llbYzdMzOXPSJcgOT+f/pIJgbvK2jvq8FwFRgaRPnFk2outbECyt30TnQkykDOhgdRzSTmy/pQCsPZ96SXhYWxTx9bjr1o9R2AQu11mlKqeeUUuPND5uplEpTSiUDM4HbzNudgZ+VUunA+8CUBtPx3gXaAr+aV3J6uoWekrBwReXV/Jiex/iYEJxlJShxmqkDOzI+JoRX1+xhU8Zxo+M0mvyGC37afYzHl6QyODKAV66NwcFBihX2JD42hOpaE6t35hodRVyERp4oo5TqSP0IjQ2nHfoxYJZSKoP6nhYfNufzEI3z2ZZDHDxexlPjouTk1YZ5ujpx1+DOrNuTT2qWbTVVs3bmFT26aK3DtdYvmLc9rbVeZr7+hNa6h9Y6Rms9XGu927y9UmsdZb4M0FonNTimk/l4p1Z4es6YZycszfKUo1TXmbhWpoOIM1BK8dLEnoQHejFz/g6OFlcYHalR5KzGziUcOsH9XyQSFezDO1P64uIkvxL2JradH+39PWRaiBW72BNl832ZWuvQ04cbm1cd6a+1jtBaX9dgSomwMIVl1bzx416GdAmUocF24NZLO+Dj5sRbP8koCyHs1eKELLq29aZHiI/RUYSF8nR14p0pfamsqeOBLxKprrXeWWXy6dSOZeSVcue8bQT5uPHx7f3wcnU6907C5iiliI8NYVPGcfJKK42OI4S4QK//uJey6jr+Pk6m89kDbzdnbh/UiTXpx9h1tMToOEKIFrY//yRJR4qY1DdUXvPFWUW08eLla2NIPFzEiytPnw1sPaRgYadyiyu59cOtODk48OkdlxDg5Wp0JGGg+NgQTBq+SzlqdBQhxAXYe6yUL347zE3929OlrbfRcUQLuWNQJ7xcnfivrBgihN1ZnJCFg4JrYs+42rgQvzOuVzB3XtaJTzZnWu1oailY2KHi8hqmfrSVkspaPrm9H+1bexgdSRgsoo03UcE+LE2yzhcyIezV89/twsPFkYdHdzE6imhBvh7OTB3YgZU7j5KRV2p0HCFEC6kzab7Zkc2QLoG08XEzOo6wEo9f0Y24Dq14fHEK+45Z33uGFCzsTGVNHXd/up0Dx0/y/i19iQ71NTqSsBDxsSEkHSniUEGZ0VGEEOdh3Z48Nu7N58GRkfh7yjKm9ubOyzrj7uwooyyEsCNbDhRwtLiSSX2k2aY4f86ODsy5uQ8eLo7c93kCJ6tqz72TBZGChR2prTMxc/4Oth0q5LXrYxkYEWB0JGFBro4JAWCZjLIQwuLV1Jl4fkU6nQI8ufXSjkbHEQbw93RhyoAOLEvO4eBxKTQLYQ8WJ2Th7ebE6Ki2RkcRVqatjxtvTe5DZkE5jy1KoX4Fe+sgBQs7obXmqaVprEk/xjNXRf3vw6kQp4T4udO/kz/fJmVb1YuYEPboiy2H2J9fxt+u7C6rO9mxuwZ3wtnRgbfXySgLIWzdyapavt+Zy1W9gnFzdjQ6jrBCl4a35q+Xd+W71KN8tCnT6DjnTc5y7MTrP+5j/tbD3D8snNsGdTI6jrBQ8bEh7M8vI106zwthsYrKq5n94z4GRbRmVPc2RscRBmrj7cbk/u35Zkc2RwrLjY4jhGhG36cepaKmTqaDiEa5Z0hnxkS15aWVu9iWWWh0nPMiBQs78PmWQ7yxdh/X9Q3jL5d3NTqOsGBXRgfj5KBkWogQFuz1H/dRWlnD38dFyZJ2gvuGhuOgFG+v3290FCFEM1qcmEXH1h707dDK6CjCiiml+M/1MYS1cueBLxLJL60yOtI5ScHCxq3aeZSnlu5kRLc2vDSxp5zcirNq5enC0C6BLE/OwWSSaSFCWJqMvJN8vuUQN/ZvT/dgH6PjCAsQ5OvGdXFhLEo4Qk5RhdFxhBDN4EhhOVsOFDKxT5icy4tG83Fz5p0pfSmprGHG/ERq60xGRzorKVjYsC0HCpj5VRKx7fyYc1MfnBzlf7c4t/GxIeQUV7L90AmjowghGtBa888V6bg7OzJLljEVDUwbFo7W8N4GGWUhhC36Zkc2ABN6hxqcRNiK7sE+vDihJ1sOFPKfNXuNjnNW8gnWRu3OLeHuT7fT3t+Dj6b2w91FmvOI8zOqe1vcnR1ZmpRtdBQhRAPzNmeyYW8+s8Z0IcDL1eg4woKEtfJgUp8w5m87Ql5JpdFxhBBNSGvNksQsBnT2p52/h9FxhA2Z2CeMmy9pz7sb9rM6LdfoOH9KChY2KOtEOVM/2oqnixPz7uhPK08XoyMJK+LpWr9c1nepR6mutewhYkLYi9SsYl5cuZuR3dpw28CORscRFuj+4eHUmTTvbzxgdBQhRBNKPHyCzIJyabYpmsXTV0cRE+bLowuTLXaJbClY2JjCsmpu/WgrFdV1zLujP6F+7kZHElYoPjaEovIafsnINzqKEHavtLKG6fMTae3lwn+ui5H5y+KMOrT2JD4mhC9+O8zxk5bfRE0IcX4WJWTj7uzIFT2DjY4ibJCrkyNvT+mLk6Ni2ucJVFTXGR3pD6RgYUPKq2u5/ZNtZJ+oYO7UfnQN8jY6krBSgyMD8fNwZqmsFiKEobTWPLEklawTFbw5ubeMmBNndf/wCCpr65j780GjowghmkBlTR0rUnK4IjoIL1cno+MIGxXq587rN/Zmz7FSnvwmFa0tq/G+FCxsRE2difu/SCQ1q4i3Jvemfyd/oyMJK+bi5MCVPYNZk3aM8upao+MIYbe+2naEFSlHmTW6C/06yuu6OLuINl6M6xnMZ79mcqKs2ug4QohG+iH9GKWVtUyU6SCimQ3tEshDI7uwZEc2X249bHSc35GChQ3QWvP44lTW78nnhQk9GdMjyOhIwgbEx4RQUVPHD+nHjI4ihF3anVvCP5alMTgygGlDw42OI6zEjBGRlFXX8fEmGWUhhLVbnJhFsK8bl4a3NjqKsAMzRkQwrGsgzy5LJ/lIkdFx/kcKFjbg36v2sDgxi4dHdWFy//ZGxxE2ol9Hf4J93Vgm00KEaHFlVbU88EUiPu7OvHZ9LA4O0rdCnJ+uQd6M7RHEx5szKamsMTqOEOIi5ZVUsnFvPhN6h+Io7wGiBTg4KGZfH0ugtyv3f5FoMSP1pGBh5T785SDvbtjPlAHtmTkywug4woY4OCjGx4SwYW++xbxgCWEvnl6axoHjZbxxQ/2JgxAXYvqICEora5m3KdPoKEKIi/RtUjYmDZP6ynQQ0XJaebrwzpQ+5JdW8eCCJOpMxvezkIKFFVualM0/V6RzRXQQz45jq0SDAAAgAElEQVSPls7xosmNjw2h1qRZufOo0VGEsBuLErJYnJjFjBGRDIwIMDqOsELRob6M7NaGDzcd5GSV9CESwtporVmckE1sOz/CA72MjiPsTK8wP/4xvgcb9+bz1k/7jI4jBQtr9fO+fB79OplLOvkz+4ZYGSommkVUsA8RbbxktRAhWkhG3kme+nYnAzr78+DISKPjCCs2Y2QkReU1fPbrIaOjCCEuUFpOCXuOlcroCmGYyf3bcW3fMN5Yu4/1e/IMzSIFCyuUmlXMfZ8lEB7oxfu3xuHm7Gh0JGGjlFLEx4SwLbOQnKIKo+MIYdMqa+qY/mUi7i6OvHFjbylEi0aJbefH4MgA5v58QFZ7EsLKLE7MwsXRgat7BRsdRdgppRT/jI+mW5APDy1I4khhuWFZpGBhZTKPl3Hbx1vx83Bh3h398XV3NjqSsHFXx4SgNaxIkVEWQjSnZ5enszu3lNeuj6Gtj5vRcYQNeHBkJAVl1Xz5m2UtUSeE+HM1dSaWJeUwKqoNfh4uRscRdszdxZF3bu5DnUlz/xeJVNbUGZJDChZWJK+0kls/2opJaz69s7+c0IoW0THAk5h2fjItRIhmtCw5h/lbD3Pf0HCGdW1jdBxhI+I6+nNp59a8v/GAYSeaQogLs35PPgVl1UzsLdNBhPE6Bnjy6nUxpGYX89yKdEMySMHCSpRW1nD7x9vIL63io9v6SQMe0aLiY0JIyykhI6/U6ChC2JzM42X8bUkqfTu04pExXYyOI2zMjJER5JVWsXD7EaOjCCHOw+KELFp7ujC0a6DRUYQAYEyPIKYNC+fL3w6zKCGrxf99KVhYgaraOu77PIE9uaW8PaUPvdu3MjqSsDNX9QrGQcEyGWUhRJOqqq1j+vxEHB0Ub07ujbOjvC2LpnVp59bEdWjFu+v3U11rMjqOEOIsTpRVs3b3MeJjQ+X9QFiUR0Z34dLOrXnym1TSc0pa9N+WvwQLZzJpHlmYzKaMAv49qRfDZaiwMEAbHzcGhgewNDkHrY1fj1kIW/HSyt3szC7hP9fFEOrnbnQcYYOUUswYGUlOcSWLE1v+mzEhxPlbnpJDTZ1mUt9Qo6MI8TtOjg68Obk3fh7OTPsioUWXzJaChQXTWvPcinRWpBzliSu6ydJGwlDjY0M4VFBOclax0VGEsAmr03L5ZHMmdwzqxOiotkbHETZsSGQAMWG+zFmXQU2djLIQwlItTsiiW5A3PUJ8jY4ixB8Eervy9s19uPmS9ni6tNwqlVKwsGDvbNjPJ5szufOyTtwzpLPRcYSdGxsdhIuTA0uTso2OIoTVO1JYzl++TqZXmC+PX9HN6DjCximlmDkykqwTFXy7Q17DhbBEGXmlJGcVc618QSksWN8O/twzJBylWm7pdSlYWKivtx/h5VV7iI8N4ckru7foL4UQZ+Lj5syIrm1YnnyUOpNMCxHiYtXUmZgxfwdaw38n98HFSd6KRfMb0a0NPUJ8eHv9fnkNF8ICLU7MxtFBER8r00GEaEjOkizQT7uP8fiSVAZHBvDKtTE4OEixQliG+NgQjp+s4tf9BUZHEcJq/Wf1HpKOFPGvSb1o39rD6DjCTiilmDEigoPHy1iRIg2UhbAkdSbNN4nZDO0SSKC3q9FxhLAojSpYKKXGKqX2KKUylFKPn+H+WUqpdKVUilJqrVKqQ4P7piql9pkvUxts76uUSjUf801lZ0MLEg+f4P4vEokK9uGdKX3lmzdhUYZ3a4O3q5NMCxHiIq3bncd7Gw8wZUB7xvUKNjqOsDNjooLo2tab//6UgUlGWQhhMTbvP05uSSWT+sh0ECFOd9GfhpVSjsAc4AogCpislIo67WE7gDitdS9gEfCyeV9/4BngEqA/8IxS6tRane8AdwOR5svYi81obU6UVXPfZwm09XHj49v74eXqZHQkIX7HzdmRy6ODWLUzl8qaOqPjCGFVjhZXMGthEt2CvPn7uNPfLoVofg4OigdGRLAv7ySr0nKNjiOEMFuckIWPmxMju8tqgEKcrjFf3/cHMrTWB7TW1cBXQHzDB2it12mty803twCnyoaXAz9orQu11ieAH4CxSqlgwEdrvUXXr534KXBNIzJaDa01T36byonyat6+uQ8BXjIcTFim+NgQSqtqWb8nz+goQliN2joTD85PoqrWxJyb++Dm3HLdtYVoaFzPYDoHevLm2n0yykIIC1BaWcOqtFyuigmR9wYhzqAxBYtQ4EiD21nmbX/mTuD7c+wbar5+vse0Gd/syGZlai6zRneVpYyERbu0c2sCvFxZlixzoIU4X2+s3cfWzEJemBBNeKCX0XGEHXN0UDwwLILduaX8uOuY0XGEsHvfp+ZSWWOS6SBC/IkWaZCglJoCxAGvNOEx71FKbVdKbc/Pz2+qwxoi60Q5zyxNo39Hf1m+VFg8J0cHruoVzI+78iitrDE6jhAW75d9x/nvugyujwtjQm85IRXGi48Nob2/B2/9lEH9gFbRWOfR1+02pVS+UirJfLmrwX3/VkrtNF9uaLC9k1LqN/MxFyilXFrq+YiWsygxi04BnvRp72d0FCEsUmMKFtlAuwa3w8zbfkcpNQp4Ehivta46x77Z/P+0kT89JoDW+n2tdZzWOi4wMPCin4TR6kyaWQuT0cCr18fgKCuCCCswPjaE6loTq9Pk2zkhziavtJKHFiQREejFP8b3MDqOEEB94fmB4eGkZhezfq91f+ljCc6zrxvAAq11rPky17zvOKAPEEt9b7dHlVI+5sf/G5ittY4ATlA/WlnYkCOF5Ww9WMikPqHY2ToDQpy3xhQstgGR5uqvC3AjsKzhA5RSvYH3qC9WNJzwvhoYo5RqZW62OQZYrbU+CpQopQaYVwe5FVjaiIwWb+7PB9h6sJB/jO9BO39Z3k5Yh97t/Gjn7y6rhQhxFnUmzcMLkjhZVcOcm/vg4SKNlIXlmNA7jFA/d95au09GWTTeOfu6nUUUsFFrXau1LgNSqO/rpoAR1DetB5iHnfR1sydLErNRCibIdBAh/tRFFyy01rXAdOqLD7uAhVrrNKXUc0qp8eaHvQJ4AV+bh78tM+9bCPyT+qLHNuA58zaA+4G5QAawn//ve2Fz0nNK+M+aPYztEcSkPnbRqkPYCKUU8TGhbMo4Tn5p1bl3EMIOvbM+g00ZBTw7vgdd2nobHUeI33FxcuC+YeEkHi5i8/4Co+NYu/Pt6zZJKZWilFqklDo10jiZ+gKFh1IqABhO/Sjk1kCR+Xz7bMcUVkprzZIdWVzauTWhfu5GxxHCYjWqh4XWeqXWuovWOlxr/YJ529Na61OFiVFa67YNhr+Nb7DvR1rrCPPl4wbbt2uto83HnK5ttOxfWVPHwwuS8PNw4cWJPWUYmLA68bEhmDR8lyLNN4U43W8HCnjth73Ex4ZwfVy7c+8ghAGu6xtGWx9X3li7z+go9mA50FFr3Yv61fHmAWit1wArgc3AfOBX4ILWDbelvm72ZPuhExwqKJdmm0KcQ4s03RR/9OqaPew5VsrL1/bC31N6KAnrE9nWm+7BPiyV1UKE+J2Ck1XM/GoHHVp78sIEKUgLy+Xm7Mi9Q8LZerCQ3w7IKItGOGdfN611QYNebnOBvg3ue8H8xd5oQAF7gQLATynl9GfHbLC/TfR1szeLE7LwcHFkbHSQ0VGEsGhSsDDA5v3HmfvLQW4Z0IHhXdsYHUeIixYfG8KOw0UcLig3OooQFsFk0jzydTInymv470298XKVvhXCsk3u354AL1fe+inD6CjW7Hz6ugU3uDme+unUKKUclVKtzdd7Ab2ANeYRxuuAa837TMXG+7rZk8qaOr5LOcrY6CA85X1CiLOSgkULK66o4dGFyXRq7cnfruxudBwhGuXqmBAAliVL800hAOb+coD1e/J5alx3eoT4Gh1HiHNyd3HkniGd+CXjOImHTxgdxyqdZ1+3mUqpNKVUMjATuM283Rn4WSmVDrwPTGnQt+IxYJZSKoP6nhYftswzEs1tdVoupVW1XCvTQYQ4JylYtLBnlu7kWGkVs2+Ixd3F0eg4QjRKqJ87/Tv6821SjnSZF3Yv8fAJXl61hyuig5gyoIPRcYQ4bzdf0oFWHs68Jb0sLtp59HV7QmvdQ2sdo7UerrXebd5eqbWOMl8GaK2TGhzzgNa6v7nf23UNppQIK7c4MZtQP3cGdG5tdBQhLJ4ULFrQ8uQcvk3KYeaISGLa+RkdR4gmMT42hIy8k+w6Wmp0FCEMU1xew4wvdxDk68a/JvWSvhXCqni6OnHX4M6s25NPalax0XGEsGnHSir5ZV8+E3qH4uAg7xVCnIsULFpIbnElf/92J7Ht/HhgeLjRcYRoMlf2DMbJQbFUpoUIO6W15i+LkskrreS/N/XB193Z6EhCXLBbL+2Aj5sTb/0koyyEaE7f7sjGpGFiH1mlVojzIQWLFmAy1Z/MVteamH1DLE6O8p9d2A5/TxeGdAlkRfJRTCaZFiLsz7zNmaxJP8ZjY7sRK6PnhJXydnPm9kGdWJN+jF1HS4yOI4RN0lqzODGLPu396BzoZXQcIayCfHJuAfN+zeTnfcd56qooOgV4Gh1HiCYXHxtCdlEFCdKwTdiZ1KxiXly5m5Hd2nDnZZ2MjiNEo9wxqBNerk78V1YMEaJZ7MwuYe+xk0zqK802hThfUrBoZvuOlfKv7+tPZif3b3fuHYSwQqO6t8XN2YGlSTItRNiP0soaps9PpLWXC/+5Lkb6Vgir5+vhzJQBHVi58yiFZdVGxxHC5ixOzMLFyYGreoYYHUUIqyEFi2ZUXWvioQVJeLo6SRM2YdM8XZ0YHRXEdylHqakzGR1HiGanteaJJalknajgzcm9aeXpYnQkIZrEkC4BaA2p2dJ8U4imVF1rYmlSNqO7t8XXQ3odCXG+pGDRjN5Yu5e0nBL+NbEngd6uRscRolnFx4RworyGX/YdNzqKEM1u/tYjrEg5yqzRXejX0d/oOEI0mehQXwB2SsFCiCa1bk8eJ8prmNRXmm0KcSGkYNFMtmcW8s76/dwQ144xPYKMjiNEsxvSJRBfd2eZFiJs3q6jJTy7PI3BkQFMGyqrPgnb4uPmTKcAT1neVIgmtjghiwAvV4ZEBhodRQirIgWLZnCyqpaHFyYR1sqDp66OMjqOEC3CxcmBK3sGsyb9GOXVtUbHEaJZlFXVMv3LRHzcnZl9QywODjLVT9ie6FBfmRIiRBMqLKtm3Z48rokNkdUChbhA8hfTDJ5bnkb2iQpeuz4GL1cno+MI0WLiY0Mor67jx115RkcRolk8vTSNA8fLeOPGWAK8ZKqfsE09Q33ILqqQxptCNJHlyTnU1GlZHUSIiyAFiya2Oi2XhduzmDYsnDiZ1yzsTP+O/gT5uLFMpoUIG7QoIYvFiVnMHBHJwPAAo+MI0Wx6hvoB0nhTiKayODGLqGAfugf7GB1FCKsjBYsmlFdayRNLUokO9eHBkV2MjiNEi3NwUIyPDWH9nnxOyDdzwoZk5JXy1Lc7GdDZn5kjI42OI0Sz6hFa/6FKGm8K0Xj7jpWSklUsoyuEuEhSsGgiWmseX5xKWVUtr98Qi4uT/KcV9ml8TAi1Js33O3ONjiJEk6isqeOBL3bg4eLIGzf2xlH6Vggbd6rxZkpWkdFRhLB6ixKzcHRQxMeGGB1FCKskn6qbyJdbD/PT7jyeuKIbEW28jY4jhGF6hPgQHugpq4UIm/Hs8nT2HCvltRtiaevjZnQcIVpEdKgvO7NLjI4hhFWrM2m+3ZHNsC6B0vdIiIskBYsmcPB4Gc+v2MXgyABuvbSj0XGEMJRSivjYULZmFnK0uMLoOEI0yrLkHOZvPcy0YeEM7SJL0Qn7IY03hWi8XzKOc6ykSqaDCNEIUrBopNo6Ew8vSMLFyYFXro2RJe6EoH5aiNawIvmo0VGEuGiZx8v425JU+nZoxazR0pdI2BdpvClE4y1OyMLX3ZmR3dsYHUUIqyUFi0aas24/SUeKeGFCNEG+MlRYCICOAZ7EhPmyNFmmhQjrVFVbx/T5iTg6KN6c3BtnR3m7FPblVOPNVOljIcRFKamsYXVaLlfHBOPq5Gh0HCGslpyBNULSkSLe/GkfE3qHclUvaaQjREPjY0PZmV1CRt5Jo6PYPKXUWKXUHqVUhlLq8TPcf5tSKl8plWS+3NXgvvZKqTVKqV1KqXSlVEfz9k+UUgcb7BPbcs/IeC+t3M3O7BJevS6GUD93o+MI0eJONd6UERZCXJzvU49SVWtiUh+ZDiJEY0jB4iKVV9fy8IIk2nq78o/xPYyOI4TFubpXMErV9wAQzUcp5QjMAa4AooDJSqmoMzx0gdY61nyZ22D7p8ArWuvuQH8gr8F9f2mwT1JzPQdLUlpZw9NLd/LJ5kzuvKwTo6LaGh1JCMNI400hLt7ihGw6B3oS287P6ChCWDUpWFykF1fuIrOgjFevj8XX3dnoOEJYnDY+bgwMb82ypGy01kbHsWX9gQyt9QGtdTXwFRB/PjuaCxtOWusfALTWJ7XW5c0X1bKt3XWMMbM38tmWQ9w+qCOPje1mdCQhDNUr1JfsogoKTlYZHUUIq3K4oJytmYVM6hOGUtLfTojGkILFRVi3J4/Ptxzmrss6cWl4a6PjCGGx4mNCySwoJyVLhhQ3o1DgSIPbWeZtp5uklEpRSi1SSrUzb+sCFCmlliildiilXjGP2DjlBfM+s5VSNrseW35pFdO/TOTOedvxcXNmybSBPHN1D1yc5C1S2LfoUF9AGm8KcaEWJ2ahFEzsc6a3YyHEhZCzsQtUWFbNXxel0C3Im0cv72p0HCEs2uXRQbg4OrA0SaaFGGw50FFr3Qv4AZhn3u4EDAYeBfoBnYHbzPc9AXQzb/cHHjvTgZVS9yiltiultufn5zfbE2gOWmsWbj/CqNc2sCbtGI+O6cLyGZfRu30ro6MJYRFONd7cKQULIc6byaRZsiOLQeEBBPtKDyQhGksKFhdAa80TS1IoLq9h9g2x0vFXiHPwdXdmeLdAlqfkUGeSaSHNJBto1+B2mHnb/2itC7TWp8Z0zwX6mq9nAUnm6SS1wLdAH/M+R3W9KuBj6qee/IHW+n2tdZzWOi4wMLDJnlRzO1RQxpQPf+Ovi1Lo2tablQ8OZvqISBlVIUQD0nhTiAu3LbOQI4UVMrpCiCYiZ2YXYFFCFqvTjvHo5V3oHuxjdBwhrEJ8bCj5pVVsOVBgdBRbtQ2IVEp1Ukq5ADcCyxo+QCkV3ODmeGBXg339lFKnKg0jgPSG+6j6ybfXADub7Rm0oNo6E+9t2M/lr28k5UgxL0yI5qt7BhDRxsvoaEJYpJ7SeFOIC7I4MQtPF0fGRgcZHUUIm+BkdABrcaSwnGeXp3NJJ3/uvKyz0XGEsBojurXBy9WJpUnZDIoIMDqOzdFa1yqlpgOrAUfgI611mlLqOWC71noZMFMpNR6oBQoxT/vQWtcppR4F1poLEwnAB+ZDf2EuZCggCbivJZ9Xc9iZXcxji1NIyylhTFRbnouPJsjXzehYQli0nqG+LEvOoeBkFa29bLaVjRBNoqK6jpWpuVzRMxgPF/mYJURTkL+k81Bn0sxamIQCXr0+BkcH6fYrxPlyc3bk8h5BfL8zl+fio3FzlqlUTU1rvRJYedq2pxtcf4L6nhRn2vcHoNcZto9o4piGqaiu4/Uf9zL3l4P4e7rw7pQ+jI0OPveOQojfNd4c1rWNwWmEsGxr0nM5WVXLpD5hRkcRwmbIlJDz8P7GA2zLPMGz8T0Ia+VhdBwhrE58bAillbWs32NdTRmF9duUcZzLX9/IexsPcH1cGD/OGirFCiEugDTeFOL8LUrIItTPnUs6+RsdRQibISMszmFndjGv/bCHcT2DmdBbmucIcTEGhrcmwMuF5ck5MqdTtIii8mpe+G4XXydk0SnAk/l3D5BlqIW4CNJ4U4jzk1tcyaaM40wfHoGDjMYWoslIweIsKmvqeHhBEq08XHj+mmjqp3gLIS6Uk6MDV/UKYf7Ww5RW1uDt5mx0JGGjtNZ8l3qUfyxLo6i8hgeGhzNjRKRMRRKiEXqG+pJw6ITRMYSwaN/syMakYaJMBxGiScmUkLN4edUe9uWd5JXrYmjl6WJ0HCGs2tUxIVTVmliTdszoKMJG5RRVcPen25n+5Q5C/NxZNv0y/nJ5NylWCNFIPUN9yS6qoOBk1bkfLIQd0lqzODGLuA6t6BjgaXQcIWyKFCz+xKaM43y06SBTL+3A0C6B595BCHFWfdr7EdbKnaXJOUZHETbGZNJ8+msmo1/bwKaMAv4+rjvf3D+IqBBZflqIptCw8aYQ4o9SsorJyDspoyuEaAYyJeQMistreGRhMuGBnjx+RXej4whhE5RSxMeG8O6GA+SXVhHoLcvjicbbd6yUx5ekknDoBIMjA3hxQk/a+UtzZCGaUsPGm7JSiBB/tDgxCxcnB8b1kqbOQjQ1GWFxBk8t3cnxk1W8fkNv3F1kKLEQTSU+NpQ6k2Zl6lGjowgrV1Vbv1TplW/+zIH8k8y+IYZP7+gvxQohmoGPmzOdpfGmEGdUVVvHsuQcxkS1xdddenQJ0dRkhMVpliZlsyw5h0fHdKFnmK/RcYSwKV3aetMtyJulSdlMHdjR6DjCSiUcKuTxxansyzvJNbEhPHVVFK29ZMSOEM0pOtSX7ZmFRscQwuKs251PUXkNk/rKdBAhmoOMsGggp6iCp77dSZ/2ftw3NNzoOELYpPjYUBIPF3G4oNzoKMLKlFbW8PTSnVz77q+UV9fx8e39eP3G3lKsEKIF9Az1Jae4UhpvCnGaxYlZBHq7MjgiwOgoQtgkKViYmUyaR79OptakmX1DLE6O8p9GiOZwdUz9/M7lKdJ8U5y/tbuOMWb2Rj7bcojbBnZkzcNDGC5z6YVoMdJ48+yUUmOVUnuUUhlKqcfPcP9tSql8pVSS+XJXg/teVkqlKaV2KaXeVEop8/bJSqlUpVSKUmqVUko+EVuYgpNVrNudx4TeofLZQYhmIn9ZZh9vzmTz/gKeviqKDq1lOSIhmktYKw/6dWzFtzuy0VobHUdYuPzSKqZ/mcid87bj4+bMkmkDeebqHni6yoxGIVpSdIPGm+L3lFKOwBzgCiAKmKyUijrDQxdorWPNl7nmfQcCg4BeQDTQDxiqlHIC3gCGa617ASnA9OZ/NuJCLEvOodakmSSrgwjRbKRgAezJLeXfq3YzqntbbujXzug4Qti88bGh7Ms7ye7cUqOjCAultWbh9iOMem0Da9KO8eiYLiyfcRm927cyOpoQdsnb3HgzJUsKFmfQH8jQWh/QWlcDXwHx57mvBtwAF8AVcAaOAcp88TSPuPABZGiihVmcmEV0qA9dg7yNjiKEzbL7gkVVbR0PLUjCx82Jf03qiXkUnhCiGY3rGYyTg2Jpkpx7iT86VFDGlA9/46+LUuja1puVDw5m+ohIXJzs/i1LCENFh/rKCIszCwWONLidZd52uknm6R2LlFLtALTWvwLrgKPmy2qt9S6tdQ0wDUilvlARBXzYjM9BXKA9uaXszC6R0RVCNDO7P/ub/cM+dh0t4V8TexEgjduEaBH+ni4MjgxgeXIOJpNMCxH1autMvLdhP5e/vpGUI8W8MCGar+4ZQEQbL6OjCSGQxpuNtBzoaJ7e8QMwD0ApFQF0B8KoL3KMUEoNVko5U1+w6A2EUD8l5IkzHVgpdY9SartSant+fn7zPxMB1I+ucHJQjI8JMTqKEDbNrgsWWw8W8t7G/Uzu345RUW2NjiOEXYmPDSW7qILEwyeMjiIswM7sYuLnbOKl73czODKQH2YN5eZLOuDgIKPehLAU0njzT2UDDecUh5m3/Y/WukBrfarSMxfoa74+AdiitT6ptT4JfA9cCsSa99uv6xs+LQQGnukf11q/r7WO01rHBQYGNtVzEmdRW2fimx3ZDOvaRlaqEqKZ2W3BorSyhocXJNHe34O/jztTXyQhRHMaHdUWN2cHmRZi5yqq63hp5S7i52wir7SKd27uw/u39CXI183oaEKI05xqvJkqfSxOtw2IVEp1Ukq5ADcCyxo+QCkV3ODmeGCX+fphzE02zaMqhprvywailFKnKhCjG+wjDPZLxnHyS6u4tu+ZZv4IIZqS3bZZf3Z5OkeLK/j6voHSbV4IA3i6OjGqe1u+Sz3K01dH4SzLgdmdTRnHeWJJKocLy5ncvx2Pj+2Or4ez0bGEEH/iVONNGWHxe1rrWqXUdGA14Ah8pLVOU0o9B2zXWi8DZiqlxgO1QCFwm3n3RcAI6ntVaGCV1no5gFLqWWCjUqoGONRgH2GwxYnZ+Hk4M7ybLK8tRHOzy0/qaTnFLErIYuaICPp2kI7zQhglPjaUFSlH+SXjOMO7ypu+vVmRkoOjg2L+3QO4NLy10XGEEOchOtSX7ZmFRsewOFrrlcDK07Y93eD6E5yhB4XWug6490+O+S7wbtMmFY1VUlnDmrRcbujXDlcnR6PjCGHz7LJg0SPEl/l3DyCuoxQrhDDS0C6B+Lo7sywpRwoW/8fevcfZVdf3/n99MjNJSEISkhkumYQkZIZCbkQIAZIBFKsCVtBKLWhVkFZ7zg89pxV+SD31gnpObY8/ezi1FQRFq9yKt6AoUgtKuJlwS0gCJCQhFwK5kEDul8n398desdtxkkwymVlr7/16Ph77wd7rNu89Gb6z5rPX+nxr0KffOZ76PkH/Bk/4pEoxqXkIM595mXWbd9isXDVp5tMvs2P3HmcHkXpJzV6Dfda44V6CLuWsb30fLpx0LPfNf4VtO9vzjqNeNqhfvcUKqcJMGmnjTdWuPXsS33p4KZOahzA5+39BUs/yL3ZJubrolGa27mzn3xe+mncUSdIBTBhRarz5rI03VYN+tWgtL67dwpVtY4lwFiupN1iwkJSraWOHcezg/s4WIkkVwMabqmW3PLSUYwb348JJxx14Y0mHhQULSbmq658KVtQAACAASURBVBO865Tj+NULa9i4dWfecSRJBzCxeQjPWrBQjXnulTeYtXgdHzprDH3r/RNK6i3+3yYpdxdPaWZXe+Jnz76SdxRJ0gFMHjmEl1/fzrrNO/KOIvWab85aSv+GPnzgjOPzjiLVFAsWknI3YcRgTmgayI+fXpV3FEnSAUxstvGmasu6zTv40dMvc8lpIxk6oG/ecaSaYsFCUu4igotPaebxpa/xyuvb844jSdoPG2+q1nz3sZfYuXsPV8wYm3cUqeZYsJBUCBdNGUFK8JO5Nt+UpCKz8aZqyfZd7Xz3sZc476SjGdc0KO84Us2xYCGpEMY2DuSkY4/kgefX5B1FknQANt5UrZj59Mus27yTK9u8ukLKgwULSYXR1tLI7GUb2L6rPe8okqT9sPGmakFKiW8+vJSTjj2S6eOG5x1HqkndKlhExPkR8XxELI6IT3Wy/pyIeDIidkfEJR3WfTkins0ef1q2/NaIWBoRT2ePKd3JKKlytLU2snP3Hn6z9LW8o0iS9sPGm6oFDy9ez3OvbOIjbWOJiLzjSDXpkAsWEVEHfA24ABgPXBYR4ztsthy4HLitw77vBE4FpgBnAFdHxOCyTa5JKU3JHk8fakZJlWXa2GH0revDw4vX5R1FkrQfNt5ULbhl1hIaB/XlolNG5B1FqlnducJiGrA4pbQkpbQTuAO4uHyDlNKylNJcYE+HfccDv04p7U4pbQHmAud3I4ukKjCgbz2njh7KQ4ssWEhSkdl4U9Vu8ZrNPPD8Wj545hj6N9TlHUeqWd0pWDQDK8per8yWdcUzwPkRMSAiGoG3AKPK1n8pIuZGxFcjol83MkqqMGe3NrFg9Rus975oSSq0SSOHWLBQ1frWw0vpW9+HD5x5fN5RpJqWS9PNlNIvgHuBR4DbgUeBvV32rgNOAk4HhgHXdnaMiPhoRMyJiDlr167t+dCSesWMlkYAHn5xfc5JJEn7M6l5CKttvKkqtGHLTr7/5EreM6WZxkF+dirlqTsFi1X87lURI7NlXZJS+lLWo+JtQAAvZMtXp5IdwLco3XrS2f43pZSmppSmNjU1HfKbkFQsk5qHMLh/PbMWWYiUpCKz8aaq1W2/Wc72XXv4iFOZSrnrTsFiNtAaEWMjoi9wKTCzKztGRF1EDM+eTwYmA7/IXh+X/TeAdwPPdiOjpApT1yeYPq6RWYvWkVLKO44kaR9svKlqtHP3Hr79yDLObm3kD449Mu84Us075IJFSmk3cBVwH7AQuCulND8iro+IiwAi4vSIWAn8CXBjRMzPdm8AHoqIBcBNwJ9lxwP4XkTMA+YBjcAXDzWjpMrU1trIy69vZ+m6LXlHkSTtw5H9GzihaSBzvcJCVeSn815mzaYdXl0hFUR9d3ZOKd1LqRdF+bLPlD2fTelWkY77bac0U0hnxzyvO5kkVb62vX0sFq/jhKZBOaeRJO3LpOYh/Gbpa3nHkA6LlBK3zFpKy9GDOLfVW86lIsil6aYk7c/o4QMYedQRTm8qSQVn401Vk98sfY1nV73BR2aMpU+fyDuOJCxYSCqgiODs1kYeXbKe3e178o4jSdoHG2+qmtwyaylHDWjgj09tzjuKpIwFC0mFNKOlkU3bd3tvtCQV2IQRg4mAeTbeVIVbtm4L9y98lQ+cMZr+DXV5x5GUsWAhqZCmj2skAmZ5W4gkFdaR/RsY2zjQKyxU8W59ZBn1fYIPnTU67yiSyliwkFRIwwb2ZcKIwcxabMFCkopsUvMQnrVgoQr2+rZd3DVnBe+aPIKjB/fPO46kMhYsJBVWW0sTTy3fwJYduw+8sSQpFzbeVKW7c/Zytu5sdypTqYAsWEgqrLaWRna1J6fMk6QCs/GmKtnu9j18+5GXOPOEYb/9WZZUHBYsJBXW1DFH0a++j9ObSlKB2XhTlezn819h1cZtXNl2Qt5RJHXCgoWkwurfUMe0scN42D4WklRYNt5UJbv5oaWMGT6At550dN5RJHXCgoWkQpvR0sjzr25izRvb844iSdoHG2+qEj3x0gaeXrGRK2aMpU+fyDuOpE5YsJBUaG0tjQDOFiJJBba38ebaTTbeVOX45qylDO5fzyWnjcw7iqR9sGAhqdDGHzeYYQP7WrCQpAKblDUr9CoLVYqVG7bys2dXc9m04xnYrz7vOJL2wYKFpELr0yeYPm44sxatI6WUdxxJUicmNA8pNd60YKEK8e1HlhERfHj6mLyjSNoPCxaSCq+tpZE1m3aweM3mvKNIkjoxqF+9jTdVMTbv2M0dv1nBhZOOY8TQI/KOI2k/LFhIKry21lIfC6c3laTisvGmKsVds1ewacdurmwbm3cUSQdgwUJS4Y08agBjGwc6vakkFZiNN1UJ2vckvvXIUk4bfRRTRg3NO46kA7BgIakizGgZzmNL1rOrfU/eUSRJnajlxpsRcX5EPB8RiyPiU52svzwi1kbE09njz8vW/X1EzI+IhRFxQ0REtrxvRNwUES9ExHMR8d7efE/V6v4Fr7LitW1eXSFVCAsWkipCW0sTW3a289TyjXlHkSR1olYbb0ZEHfA14AJgPHBZRIzvZNM7U0pTssfN2b7TgRnAZGAicDpwbrb9p4E1KaUTs+P+qmffSW345qylNA89grePPybvKJK6wIKFpIpw1rjh9Amc3lSSCqqGG29OAxanlJaklHYCdwAXd3HfBPQH+gL9gAbg1WzdR4D/BZBS2pNS8hdgN81b+Tq/WfYaV8wYQ32dfwZJlcD/UyVVhCFHNDB55FBmLVqbdxRJ0j5Mah7CvJU1V7BoBlaUvV6ZLevovRExNyLujohRACmlR4EHgNXZ476U0sKI2Ntc4QsR8WRE/FtEdHpJQER8NCLmRMSctWv9Hbk/t8xawsC+dbzv9FF5R5HURRYsJFWMtpZGnln5Om9s35V3FElSJyY1D+GVN2y82Yl7gDEppcnA/cC3ASKiBTgZGEmpyHFeRJwN1GfLHkkpnQo8Cvzvzg6cUroppTQ1pTS1qamp599JhXrl9e38ZO5q/vT04xncvyHvOJK6yIKFpIrR1tpI+57EYy+uzzuKJKkTNdp4cxVQ/pH9yGzZb6WU1qeU9lZxbgZOy56/B3gspbQ5pbQZ+BlwFrAe2Ar8INvu34BTeyZ+bfj2o8vYkxJXzBiTdxRJB8GChaSKcerxR3FEQ53Tm0pSQdVo483ZQGtEjI2IvsClwMzyDSLiuLKXFwELs+fLgXMjoj4iGig13FyYUkqUrsp4c7bdW4EFPfcWqtvWnbu57fHlvH38sYwaNiDvOJIOggULSRWjb30fzjhhGA9ZsPgd3ZxO7/iI+EU2nd6CiBiTLR8bEY9nx7wzOwmXpP3a23hzbg31sUgp7QauAu6jVIi4K6U0PyKuj4iLss0+kU1d+gzwCeDybPndwIvAPOAZ4JmU0j3ZumuBz0XEXOCDwCd75Q1Voe8/uYrXt+3iyrOdylSqNPV5B5Ckg9HW0sgXf7qQlzduY8TQI/KOk7uy6fTeRqnR2+yImJlS6vhJ3J0ppas6OcR3gC+llO6PiEHAnmz5l4GvppTuiIivA1cC/9Iz70JSNZncPITHlryWd4xelVK6F7i3w7LPlD2/Driuk/3agY/t45gvAecc3qS1Z8+exLdmLWXyyCFMHX1U3nEkHSSvsJBUUdpaGwGnNy1zyNPpRcR4oD6ldD9Adg/11ogI4DxKn/xBqTncuw9/dEnVaKKNN1UgD76whiXrtnBl21hKv94kVRILFpIqyh8ccySNg/oxa5EFi8whT6cHnAhsjIgfRMRTEfEP2RUbw4GN2WXO+zum0+lJ+j012nhTBXXLrKUcO7g/F0467sAbSyocCxaSKkpE0NYynIcXr2PPnpR3nErR6XR6lG4LPBu4GjgdOIH/vK+6S5xOT1JHextv1lIfCxXTgpff4OHF6/nw9DE01Plnj1SJ/D9XUsVpa21i/ZadPPfKpryjFEF3ptNbCTyd3U6yG/gRpWnz1gNDI6J+X8eUpH0Z1K+eExoH1tpMISqgbz68lCMa6nj/tOPzjiLpEFmwkFRx2lpKfSyc3hTo3nR6sykVJvZeGnEesCCbTu8B4JJs+YeBH/dQfklVaFLzEG8JUa7WbNrOzKdf5pLTRjJkQEPecSQdIgsWkirOsUP603L0IKc3pXvT6WXd6a8GfhkR84AAvpHtcy3w1xGxmFJPi1t66z1Jqnw23lTevvvYcna27+GKGWPyjiKpG5zWVFJFamtp5I7Zy9m+q53+DXV5x8nVoU6nl627H5jcyfIllGYgkaSDVt548y0nHZ1zGtWa7bva+d5jL/HWk47mhKZBeceR1A1eYSGpIrW1NLJ91x6eXL4h7yiSpA5svKk8/fjpVazfspMr28bmHUVSN1mwkFSRzhw3nLo+4fSmklRANt5UXlJK3DJrKScfN5izxg3PO46kbrJgIakiDepXz5tGDbXxpiQVlI03lYeHFq3jhVc3c2XbWCIi7ziSusmChaSK1dbayNxVr7Nx6868o0iSOtjbeHPNpu15R1ENuWXWUhoH9eNdpxx34I0lFZ4FC0kV6+zWRlKCR19cn3cUSVIH5Y03pd6weM0mfvXCWj501mj61dd2Q26pWliwkFSxJo8cyqB+9U5vKkkFtLfx5ryVb+QdRTXillnL6Fvfhw+ccXzeUSQdJhYsJFWshro+nHnCcBtvSlIB2XhTvem1LTv5wZMr+eM3NTN8UL+840g6TCxYSKpobS3DWf7aVpav35p3FElSBzbeVG+57fGX2LF7Dx9xKlOpqliwkFTR2lqbAJjlbSGSVDg23lRv2LG7nW8/+hLnnNjEicccmXccSYeRBQtJFW1c00COHdzf6U0lqYAmjxwK2HhTPesnz6xm7aYdXOnVFVLVsWAhqaJFBG2tjTz84jra96S840iSykwYMdjGm+pRKSVumbWU1qMHcU5rY95xJB1mFiwkVbyzWxvZuHUXC172hFiSimSgjTfVwx5b8hoLVr/BR9rGEhF5x5F0mFmwkFTxpo8rfaLy0OK1OSeRJHU0qXkI81ZtzDuGqtQts5YybGBf3vOm5ryjSOoBFiwkVbymI/tx0rFHOr2pJBXQxOYhvPrGDhtv6rBbum4Lv3zuVT5wxvH0b6jLO46kHmDBQlJVaGtpZM6yDWzb2Z53FElSGRtvqqd86+Gl1PcJPnjm6LyjSOohFiwkVYW21kZ2tu9h9rLX8o4iSSpj4031hNe37uLf5qzkolOaOXpw/7zjSOohFiwkVYVpY4fRt66P05tKUsH8Z+NN+1jo8Ll99nK27Wp3KlOpylmwkFQVBvSt59TRQ3nIPhaSVDilxpveEqLDY1f7Hr79yDLOOmE440cMzjuOpB5kwUJS1Ti7tYkFq99g/eYdeUeRJJWZNHKojTd12Pzs2VdY/fp2r66QaoAFC0lVY0ZLaXrTh19cn3MSSVK5Sc1DABtvqvtSStwyayljGwdy3klH5x1HUg+zYCGpakxqHsLg/vXMWrQ27yiSpDJ7G2/OXWnBQt3z5PINPLNiI1fMGEOfPpF3HEk9zIKFpKpR1yeYPq6RWYvWkVLKO44kKbO38aZXWKi7bn5oKUOOaOCS00bmHUVSL7BgIamqtLU28vLr21m6bkveUSRJZSaPHGrjTXXLite2ct/8V7hs2vEM6FufdxxJvcCChaSq0ra3j4XTm0pSoUxsHmLjTXXLrY8so08EH54+Ou8oknqJBQtJVWX08AGMPOoIpzeVpIKx8aa6Y9P2Xdw5ewUXTjqO44YckXccSb3EgoWkqhIRnN3ayKNL1rO7fU/ecSRJGRtvqjvumrOSzTt2O5WpVGMsWEiqOjNaGtm0fTdz/RRPkgpjYL96xjUN8goLHbT2PYlvPbyUqaOP4pRRQ/OOI6kXdatgERHnR8TzEbE4Ij7VyfpzIuLJiNgdEZd0WPfliHg2e/xp2fKxEfF4dsw7I6JvdzJKqj3TxzUSAbO8LUSSCmVS8xAbb+qg/WL+K6zcsM2rK6QadMgFi4ioA74GXACMBy6LiPEdNlsOXA7c1mHfdwKnAlOAM4CrI2JwtvrLwFdTSi3ABuDKQ80oqTYNG9iXCSMGM8vGm5JUKL9tvPlGdTXe7MKHeJdHxNqIeDp7/HnZur+PiPkRsTAiboiI6LDvzIh4tjfeR1HdMmspo4YdwdsnHJt3FEm9rDtXWEwDFqeUlqSUdgJ3ABeXb5BSWpZSmgt0vJF8PPDrlNLulNIWYC5wfjZAnwfcnW33beDd3cgoqUa1tTTx1PINbNmxO+8okqTM3sab1XSVRRc/xAO4M6U0JXvcnO07HZgBTAYmAqcD55Yd+4+BzT38FgrtmRUbmfPSBi6fPpa6PnHgHSRVle4ULJqBFWWvV2bLuuIZSgWKARHRCLwFGAUMBzamlPb+hXEwx5Sk32praWRXe+I3S1/LO4okKbO38WY1FSzowod4+5GA/kBfoB/QALwKEBGDgL8GvnjYE1eQW2YtZVC/et43dWTeUSTlIJemmymlXwD3Ao8AtwOPAu0Hc4yI+GhEzImIOWvXru2BlJIq2dQxR9Gvvo/Tm0pSgVRp482ufoj33oiYGxF3R8QogJTSo8ADwOrscV9KaWG2/ReArwBb9/fFq/mcePXr27h33mr+9PRRHNm/Ie84knLQnYLFKkpXRew1MlvWJSmlL2WXxL0NCOAFYD0wNCLqD3TMlNJNKaWpKaWpTU1Nh/QGJFWv/g11TBs7jFmLq+vkTZIqXY023rwHGJNSmgzcT+m2ZyKiBTiZ0jlvM3BeRJwdEVOAcSmlHx7owNV8TvztR15iT0pcPn1M3lEk5aQ7BYvZQGs2q0df4FJgZld2jIi6iBiePZ9M6b69X6SUEqUq894ZRT4M/LgbGSXVsBktjbzw6uaqa+4mSZWsChtvHvBDvJTS+pTSjuzlzcBp2fP3AI+llDanlDYDPwPOyh5TI2IZMAs4MSIe7LF3UEBbduzmtsdf4h0TjmXUsAF5x5GUk0MuWGR9Jq4C7gMWAnellOZHxPURcRFARJweESuBPwFujIj52e4NwEMRsQC4Cfizsr4V1wJ/HRGLKfW0uOVQM0qqbW0tjQDOFiJJBVKFjTcP+CFeRBxX9vIiSufOUJpR79yIqI+IBkoNNxemlP4lpTQipTQGaANeSCm9uYffR6F8/8mVvLF9t1OZSjWu/sCb7FtK6V5KvSjKl32m7PlsSlXmjvttp9RFubNjLqHUvEiSumX8cYMZNrAvsxav449PtVmXJBVBeePNt558TN5xui2ltDsi9n6IVwd8c++HeMCclNJM4BPZB3q7gdeAy7Pd76Y0Q948Sg04f55Suqe330PRbNvZzo2/WsIpo4Zy2uij8o4jKUfdKlhIUpH16RNMHzecWYvWkVKiw9T2kqQcVGPjzS58iHcdcF0n+7UDHzvAsZdRmvK0ZvzLg4tZtXEb/9/7TvF3t1TjcpklRJJ6S1tLI2s27WDxmpqexl6SCmVS8xDmrqyegoUOn+Xrt/L1Xy/h4ikjOOOE4XnHkZQzCxaSqlpba6mPhdObSlJxTGwewppNVdV4U4fJ9T9ZQEOf4G8uPDnvKJIKwIKFpKo28qgBjG0caONNSSqQySOrrvGmDoMHnlvDvy98lU+8tZVjBvfPO46kArBgIanqzWgZzmNL1rOrfU/eUSRJlJoi7228KQHs2N3O5++ZzwlNA7lihjODSCqxYCGp6rW1NLF1ZztPLd+YdxRJEv/ZeHOefSyUufmhpSxbv5XPvWsCfev9E0VSiaOBpKp31rjh9Am8LUSSCmRS8xCvsBAAq1/fxj/9x2LeMeEYzjmxKe84kgrEgoWkqjfkiAYmjxzKrEVr844iScrYeFN7femnC9mTEv/jnePzjiKpYCxYSKoJbS2NPLPydd7YvivvKJIkbLypkkdeXMdP5q7mv7x5HKOGDcg7jqSCsWAhqSa0tTbSvifx2Ivr844iScLGm4Jd7Xv4/MwFjDzqCP7y3HF5x5FUQBYsJNWEU48/iiMa6uxjIUkFYeNN/eujL/H8q5v4zB+Np39DXd5xJBWQBQtJNaFvfR/OOGGYBQtJKhAbb9autZt28NX7X+CcE5t42/hj8o4jqaAsWEiqGW0tjSxZu4WXN27LO4okiVLBwsabtenLP3+O7bvb+ey7xhMReceRVFAWLCTVjLbWRsDpTSWpKCbZeLMmPbl8A3c/sZIr205gXNOgvONIKjALFpJqxh8ccySNg/oxa5EFC0kqgr2NN+fax6JmtO9JfPbH8zlmcD8+fl5L3nEkFZwFC0k1IyJoaxnOw4vXsWdPyjuOJNW8vY03n/UKi5px5+wVzFv1On9z4ckM7FefdxxJBWfBQlJNaWttYv2WnTz3yqa8o0iSgMk23qwZG7fu5B/ue45pY4dx0Skj8o4jqQJYsJBUU9pa9vaxWJtzEkkSwMSs8earNt6sel/5xQu8sX03n79ogo02JXWJBQtJNeXYIf1pOXoQsxavzzuKJImyxpv2sahqz656ne89/hIfPHM0Jx83OO84kiqEBQtJNaetpZHfLF3P9l3teUeRpJq3t/Gmt4VUr5QSn505n6MG9OWv3nZi3nEkVRALFpJqTltLI9t37eHJ5RvyjiJJNc/Gm9Xvh0+t4omXNnDt+Scx5IiGvONIqiAWLCTVnDPHDaeuTzi9qSQVhI03q9em7bv4Xz97jlNGDeWS00bmHUdShbFgIanmDOpXz5tGDeXhxRYsJKkIbLxZvW745SLWbd7B9RdNoE8fG21KOjgWLCTVpLbWRuauep2NW3fmHUWSap6NN6vT4jWb+NbDy/jTqaM4ZdTQvONIqkAWLCTVpLNbG0kJHnmx8mcLiYjzI+L5iFgcEZ/qZP3lEbE2Ip7OHn9etq69bPnMsuW3RsTSsnVTeuv9SKo9Nt6sPiklPjdzAQP61nHNO/4g7ziSKlR93gEkKQ+TRw5lUL96Zi1ex4WTjss7ziGLiDrga8DbgJXA7IiYmVJa0GHTO1NKV3VyiG0ppX0VI65JKd19GONKUqcG9qunxcabVeXnz77CrMXruP7iCQwf1C/vOJIqlFdYSKpJDXV9OPOE4dXQeHMasDiltCSltBO4A7g450ySdNAmNQ9hrgWLqrBtZztf+MkCTjr2SN4/7fi840iqYBYsJNWstpbhLH9tK8vXb807Snc0AyvKXq/MlnX03oiYGxF3R8SosuX9I2JORDwWEe/usM+Xsn2+GhGdfjwWER/N9p+zdu3a7r0TSTVtYvMQ1tp4syr884OLefn17Vx/8UTq6/xzQ9KhcwSRVLPaWpsAmFX9s4XcA4xJKU0G7ge+XbZudEppKvB+4B8jYly2/DrgJOB0YBhwbWcHTindlFKamlKa2tTU1GNvQFL1s/FmdXhp/RZu/PUS3j1lBNPGDss7jqQKZ8FCUs0a1zSQYwf3r/TpTVcB5VdMjMyW/VZKaX1KaUf28mbgtLJ1q7L/LgEeBN6UvV6dSnYA36J064kk9Zjxxw2mj403K94XfrKAhj7BdReenHcUSVXAgoWkmhURtLU28vCL62jfk/KOc6hmA60RMTYi+gKXAjPLN4iI8q6iFwELs+VH7b3VIyIagRnAgvJ9IiKAdwPP9vD7kFTjBvarZ1zTIAsWFew/nnuVf1+4hk+8tZVjBvfPO46kKmDBQlJNO7u1kY1bdzH/5co8QU4p7QauAu6jVIi4K6U0PyKuj4iLss0+ERHzI+IZ4BPA5dnyk4E52fIHgL8rm13kexExD5gHNAJf7J13JKmWTWoeYsGiQu3Y3c719yzghKaBXDFjbN5xJFUJpzWVVNOmj2sESn0sJo8cmnOaQ5NSuhe4t8Oyz5Q9v45ST4qO+z0CTNrHMc87zDEl6YAmNg/hB0+t4tU3tvsJfYW5+aGlLFu/le98ZBp96/1MVNLh4WgiqaY1HdmPk449shqmN5Wkimfjzcr08sZt/NN/LOb8Ccdyzok2YJZ0+FiwkFTz2loambNsA9t2tucdRZJqmo03K9OX7l3InpT49DtttCnp8LJgIanmtbU2srN9D7OXvZZ3FEmqaTberDyPLF7HT+eu5r++uYVRwwbkHUdSlbFgIanmTRs7jL51fSp9elNJqgqV2HgzIs6PiOcjYnFEfKqT9ZdHxNqIeDp7/HnZur/PGiMvjIgbomRARPw0Ip7L1v1d776jrtnVvofP3TOfUcOO4GPnnpB3HElVyIKFpJo3oG89p44eykP2sZCk3E1sHsLaTTt49Y3teUfpkoioA74GXACMBy6LiPGdbHpnSmlK9rg523c6pSmlJwMTgdOBc7Pt/3dK6STgTcCMiLigh9/KQfvOoy/xwqub+dt3jqd/Q13ecSRVIQsWkgSc3drEgtVvsG7zjryjSFJNm1x5jTenAYtTSktSSjuBO4CLu7hvAvoDfYF+QAPwakppa0rpAYDsmE8CIw978m5Yu2kH/3j/C5x7YhNvG39M3nEkVSkLFpIEzGgpTW/6yIvrc04iSbVt/IhS4825lXNbSDOwouz1ymxZR++NiLkRcXdEjAJIKT0KPACszh73pZQWlu8UEUOBdwG/7OyLR8RHI2JORMxZu3Zt999NF33558+xfXc7n33XeCKi176upNpiwUKSKN0zPbh/PbMW9d7JniTp9w3oW2q8+WzlFCy64h5gTEppMnA/8G2AiGgBTqZ09UQzcF5EnL13p4ioB24HbkgpLenswCmlm1JKU1NKU5uaemdK0Sde2sDdT6zkz88+gROaBvXK15RUmyxYSBJQ1yeYPq6RWYvWkVLKO44k1bQKa7y5ChhV9npktuy3UkrrU0p77zm8GTgte/4e4LGU0uaU0mbgZ8BZZbveBCxKKf1jjyQ/BO17Ep+d+SzHDu7PVW9pyTuOpCpnwUKSMm2tjbz8+naWrtuSdxRJqmmTRlZU483ZQGtEjI2IvsClwMzyDSLiuLKXFwF7BGpLYQAAIABJREFUb/tYDpwbEfUR0UCp4ebCbJ8vAkOA/97D+Q/KHbOX8+yqN/ibd57MwH71eceRVOUsWEhSpi3rY+H0ppKUr0nNpcabcyug8WZKaTdwFXAfpWLDXSml+RFxfURclG32iWx60meATwCXZ8vvBl4E5gHPAM+klO6JiJHApynNOvJkx6lQ87Jhy07+4b7nOWPsMN41+bgD7yBJ3WRZVJIyo4cPYORRR/DQonV88KwxeceRpJq1t/HmvFWvV8QMFCmle4F7Oyz7TNnz64DrOtmvHfhYJ8tXAoXrZPmV+59n0/bdfP7iCTbalNQrvMJCkjIRwdmtjTz64np2t+/JO44k1awqbbxZ0Z5d9Trfe3w5HzxzNCcdOzjvOJJqhAULSSozo6WRTTt2V9J0epJUlSaNLDXetBFy/lJKfHbmfIYN6Mtfve3EvONIqiEWLCSpzPRxjUTArEX2sZCkPE1q3tt4c8eBN1aP+uFTq3jipQ1ce8FJDDmiIe84kmqIBQtJKjNsYF8mjBjMLBtvSlKu9jberKDpTavSpu27+J/3PseUUUO55NSReceRVGMsWEhSB20tTTy1fANbduzOO4ok1azyxpvKz//590Ws37KD6y+eQJ8+NtqU1LssWEhSB20tjexqT/xm6Wt5R5GkmmXjzfwtenUTtz6yjEtPH8XkkUPzjiOpBlmwkKQOpo45in71fXjIPhaSlKtJI4cwd6WNN/OQUuJz98xnYL96rnnHSXnHkVSjLFhIUgf9G+qYNnYYsxavzTuKJNW0Sc1DWLfZxpt5+Nmzr/Dw4vVc/fYTGTawb95xJNUoCxaS1IkZLY288Opm1ryxPe8oklSzbLyZj607d/PFnyzg5OMG8/4zRucdR1INs2AhSZ1oa2kEcLYQScqRjTfz8S8PvsjLr2/n+osnUGejTUk5smAhSZ0Yf9xghg3sa8FCknI0oG89LUcPYt7KjXlHqRnL1m3hxl8t4T1vaub0McPyjiOpxlmwkKRO9OkTTB83nFmL1tnsTZJyNLF5CPNWveFY3Eu+8JMFNNQF111go01J+bNgIUn70NbSyJpNO1i0ZnPeUSSpZtl4s/f8x3Ov8svn1vDf/rCVowf3zzuOJFmwkKR9aWvN+lg4vakk5cbGm71j+652Pn/PAsY1DeTy6WPzjiNJgAULSdqnkUcNYGzjQPtYSFKObLzZO26ZtZSX1m/lcxdNoG+9fyJIKoZujUYRcX5EPB8RiyPiU52sPycinoyI3RFxSYd1fx8R8yNiYUTcEBGRLX8wO+bT2ePo7mSUpO6Y0TKcx5asZ1f7nryjSFJNsvFmz1u1cRv/9z8Wcf6EYzm7tSnvOJL0W4dcsIiIOuBrwAXAeOCyiBjfYbPlwOXAbR32nQ7MACYDE4HTgXPLNvlASmlK9lhzqBklqbvaWprYurOdp5Z7oixJebHxZs/6nz9dSErwP/7o5LyjSNLv6M4VFtOAxSmlJSmlncAdwMXlG6SUlqWU5gIdP5pMQH+gL9APaABe7UYWSeoRZ40bTp/A20IkKUc23uw5jyxex0/nreb/eUsLI48akHccSfod3SlYNAMryl6vzJYdUErpUeABYHX2uC+ltLBsk29lt4P87d5bRTqKiI9GxJyImLN27dpDeweSdABDjmhg8sihzFrkOCNJebHxZs/Y1b6Hz86cz/HDBvDRc07IO44k/Z5cOupERAtwMjCSUpHjvIg4O1v9gZTSJODs7PHBzo6RUroppTQ1pTS1qcl77ST1nLaWRtZu3sHO3faxkKQ8jB8xmCMa6njlje15R6kqL67dzNrNO/jbPxpP/4a6vONI0u+p78a+q4BRZa9HZsu64j3AYymlzQAR8TPgLOChlNIqgJTSpoi4jdKtJ9/pRk5J6pZPvLWVT779RPZxwZckqYcN6FvPvM+9nfo6Z684nE46djAP/b9vYVC/7vxJIEk9pzuj/mygNSLGRkRf4FJgZhf3XQ6cGxH1EdFAqeHmwux1I0C2/I+AZ7uRUZK6rW99H4sVkpQzixU948j+Df6Ok1RYhzzyp5R2A1cB9wELgbtSSvMj4vqIuAggIk6PiJXAnwA3RsT8bPe7gReBecAzwDMppXsoNeC8LyLmAk9TumLjG4eaUZIkSZIkVaZuXf+VUroXuLfDss+UPZ9N6VaRjvu1Ax/rZPkW4LTuZJIkSZIkSZXPa+skSZIkSVLhWLCQJEmSJEmFY8FCkiRJkiQVjgULSZIkSZJUOBYsJEmSJElS4ViwkCRJkiRJhWPBQpIkSZIkFY4FC0mSJEmSVDgWLCRJkiRJUuFYsJAkSZIkSYUTKaW8M3RbRKwFXjqEXRuBdYc5zuFgroNX1GzmOnhFzXaouUanlJoOd5giOsSxuNr+vXtDUbMVNRcUN5u5Dt6hZHMcPrCi/pub6+AVNZu5Dl5Rs/XqOXFVFCwOVUTMSSlNzTtHR+Y6eEXNZq6DV9RsRc1V6Yr6fS1qLihutqLmguJmM9fBK3K2SlbU76u5Dl5Rs5nr4BU1W2/n8pYQSZIkSZJUOBYsJEmSJElS4dR6weKmvAPsg7kOXlGzmevgFTVbUXNVuqJ+X4uaC4qbrai5oLjZzHXwipytkhX1+2qug1fUbOY6eEXN1qu5arqHhSRJkiRJKqZav8JCkiRJkiQVkAULSZIkSZJUOFVfsIiI8yPi+YhYHBGf6mT9X0fEgoiYGxG/jIjRRclWtt17IyJFRK9MH9OVXBHxvuz7Nj8ibitCrog4PiIeiIinsn/PC3sp1zcjYk1EPLuP9RERN2S550bEqb2Rq4vZPpBlmhcRj0TEKUXIVbbd6RGxOyIuKUquiHhzRDyd/ez/qjdyVYOijsVFHYe7ms2x+He+biHH4qKOw13JVradY3EVKOo43JVsZdt5TtyFXI7Dh5TNc+KDzNVr43BKqWofQB3wInAC0Bd4BhjfYZu3AAOy5/8FuLMo2bLtjgR+DTwGTC1CLqAVeAo4Knt9dEFy3QT8l+z5eGBZL/1bngOcCjy7j/UXAj8DAjgTeLw3cnUx2/Syf8cLeivbgXKV/Zv/B3AvcEkRcgFDgQXA8dnrHv/Zr4ZHUcfioo7DB/E9cyz+3a9byLG4qONwV7KV/Zs7Flf4o6jjcFezZdt5Ttz1XI7DB5/Nc+KD+3712jhc7VdYTAMWp5SWpJR2AncAF5dvkFJ6IKW0NXv5GDCyKNkyXwC+DGwvUK6/AL6WUtoAkFJaU5BcCRicPR8CvNwLuUgp/Rp4bT+bXAx8J5U8BgyNiOOKkC2l9Mjef0d68ee/C98zgI8D3wd64+cL6FKu9wM/SCktz7bvtWwVrqhjcVHH4a5mcywu/6IFHYuLOg5nX9uxuHYUdRzuUraM58Rdz+U4fJDZPCf+XUUah6u9YNEMrCh7vTJbti9XUqr69YYDZssukxqVUvppL2XqUi7gRODEiHg4Ih6LiPMLkutzwJ9FxEpKFciP90KurjjYn8O89ObP/35FRDPwHuBf8s7SwYnAURHxYEQ8EREfyjtQhSjqWFzUcRgci3tCJYzFhRmHwbG4yhR1HIbijsWOw4dfJYzDUKCx2HEY6nvqwJUmIv4MmAqcm3cWgIjoA/x/wOU5R+lMPaVL4N5Mqfr464iYlFLamGsquAy4NaX0lYg4C/jXiJiYUtqTc67Ci4i3UBqc2/LOkvlH4NqU0p6IyDtLuXrgNOCtwBHAoxHxWErphXxjVY8ijcUFH4fBsbiqFHAcBsfimlSkcRgKPxY7DleZAo7FNT8OV3vBYhUwquz1yGzZ74iIPwQ+DZybUtpRkGxHAhOBB7MfzmOBmRFxUUppTo65oFQNfTyltAtYGhEvUBqsZ+ec60rgfICU0qMR0R9opBcvn9qHLv0c5iUiJgM3AxeklNbnnSczFbgj+9lvBC6MiN0ppR/lG4uVwPqU0hZgS0T8GjgF8CR5/4o6Fhd1HO5KNnAsPliFHYsLOg6DY3E1Keo43JVsnhMffC7H4UNQ0LG45sfhar8lZDbQGhFjI6IvcCkws3yDiHgTcCNwUS/fA7nfbCml11NKjSmlMSmlMZTupeqNk+QDfs+AH1GqJBMRjZQuCVpSgFzLKVX5iIiTgf7A2h7O1RUzgQ9lnZHPBF5PKa3OOxSUukgDPwA+WKRPplJKY8t+9u8G/msBBmaAHwNtEVEfEQOAM4CFOWeqBEUdi4s6Dh8wW8ax+OAUciwu6jgMjsVVpqjj8AGzeU58SLkchw9SUcdix+Eqv8IipbQ7Iq4C7qPUXfWbKaX5EXE9MCelNBP4B2AQ8G9Z5Wp5SumigmTrdV3MdR/w9ohYALQD1/R0FbKLuT4JfCMi/opSs6HLUyq1re1JEXE7pV9WjVG6V/CzQEOW++uU7h28EFgMbAWu6OlMB5HtM8Bw4J+zn//dKaUenyqsC7lycaBcKaWFEfFzYC6wB7g5pbTfaahU3LG4qOPwQWRzLC5T1LG4qONwF7PlwrH48CvqOHwQ2Xqd4/DBK+o43MVsnhMfRK7eHIejF352JUmSJEmSDkq13xIiSZIkSZIqkAULSZIkSZJUOBYsJEmSJElS4ViwkCRJkiRJhWPBQpIkSZIkFY4FC1W9iHh3RKSIOCl7PSYi9jvtTle2kSR1jeOwJOXPsViVyIKFasFlwKzsv5Kk3uc4LEn5cyxWxbFgoaoWEYOANuBK4NJO1l8eET+OiAcjYlFEfLZsdV1EfCMi5kfELyLiiGyfv4iI2RHxTER8PyIG9M67kaTK4zgsSflzLFalsmChancx8POU0gvA+og4rZNtpgHvBSYDfxIRU7PlrcDXUkoTgI3ZNgA/SCmdnlI6BVhIaeCXJHXOcViS8udYrIpkwULV7jLgjuz5HXR+Cdz9KaX1KaVtwA8oVZ8BlqaUns6ePwGMyZ5PjIiHImIe8AFgQo8kl6Tq4DgsSflzLFZFqs87gNRTImIYcB4wKSISUAck4GsdNk37eL2jbFk7cET2/Fbg3SmlZyLicuDNhy+1JFUPx2FJyp9jsSqZV1ioml0C/GtKaXRKaUxKaRSwFBjVYbu3RcSw7H68dwMPH+C4RwKrI6KBUjVZktQ5x2FJyp9jsSqWBQtVs8uAH3ZY9n3gug7LfpMtnwt8P6U05wDH/VvgcUqD+HOHIackVSvHYUnKn2OxKlak1PHKH6l2ZJevTU0pXZV3FkmqRY7DkpQ/x2IVlVdYSJIkSZKkwvEKC0mSJEmSVDheYSFJkiRJkgrHgoUkSZIkSSocCxaSJEmSJKlwLFhIkiRJkqTCsWAhSZIkSZIKx4KFJEmSJEkqHAsWkiRJkiSpcCxYSJIkSZKkwrFgIUmSJEmSCseChSRJkiRJKhwLFpIkSZIkqXAsWEiSJEmSpMKxYCFJkiRJkgrHgoUkSZIkSSocCxaSJEmSJKlwLFhIkiRJkqTCsWAhSZIkSZIKx4KFJEkqhIg4PiI2R0Rd3lkkSVL+LFio5kTEsoj4ww7LLo+IWWXrt2Unza9ExK0RMSiftJLUe/Ie/1JKy1NKg1JK7Qe7b0S8OSJWHo4cEfFgRPz54TiWJHWUjbF7H3vKxt3NEfGBQzieY5aqlgULqXPvSikNAqYAbwKuyzmPJPUWxz9J6kFZYXZQNtYuJxt3s8f38s53uEVEfd4ZVLksWEj7kVJ6BbiP0om7JNWMzsa/iDgzIh6JiI0R8UxEvLls3bCI+FZEvBwRGyLiR2Xr/iIiFkfEaxExMyJGdPY1I2JMRKS9J7fZp4ZfiIiHI2JTRPwiIho72W8g8DNgRNmnlCMiok9EfCoiXoyI9RFxV0QMy/bpHxHfzZZvjIjZEXFMRHwJOBv4p+w4/3RYvqGSdAA9OWZFRFvZ+L0iIi7Plg+JiO9ExNqIeCki/keWo1+27cSyYzRlV4Mcnb3+o4h4OtvukYiYXLbtsoi4NiLmAlsior7svW2KiAUR8Z6y7esi4isRsS4ilkbEVR1+HwyJiFsiYnVErIqIL4a3D9YECxbSfkTESOACYHHeWSSpN3Uc/yKiGfgp8EVgGHA18P2IaMp2+VdgADABOBr4arbfecD/At4HHAe8BNxxEFHeD1yRHbNv9nV/R0ppS5b15bJPKV8GPg68GzgXGAFsAL6W7fZhYAgwChgO/CWwLaX0aeAh4KrsOFcdRFZJ6o4eGbMiYjSlou7/BZooFaKfzlb/3+y4J2Rf90PAFSmlHcAPgMvKDvU+4FcppTUR8Sbgm8DHsjw3AjMjol/Z9pcB7wSGppR2Ay9SKq4MAT4PfDcijsu2/QtK4/gU4NTs+1DuVmA30ELp6r+3A94GUwMsWKhW/SirBm+MiI3AP3eyfhOwAlgDfLbXE0pSPvY1/v0ZcG9K6d6U0p6U0v3AHODC7ITzAuAvU0obUkq7Ukq/yvb7APDNlNKT2QnwdcBZETGmi3m+lVJ6IaW0DbiLg7vi7S+BT6eUVmZf+3PAJdkndrsonWS3pJTaU0pPpJTeOIhjS9Lh1lNj1vuBf08p3Z6Nz+tTSk9nVyhcClyXUtqUUloGfAX4YLbfbdn68uPclj3/KHBjSunxLM+3gR3AmWXb35BSWpGN36SU/i2l9HL2O+ROYBEwLdv2fcD/yd77BuDv9h4kIo4BLgT+e0ppS0ppDaWieHk2VSkLFqpV704pDd37AP5rJ+uPBN4MnAT83iXIklSl9jX+jQb+pEOxt43SVROjgNeyk8yORlC6qgKAlNJmYD3Q3MU8r5Q93wocTBPQ0cAPy/IuBNqBYyhdEXIfcEd2G8vfR0TDQRxbkg63nhqzRlG6uqGjRqCBsjE6e753fH4AGBARZ2RF5inAD8uyfrLD74RRlMb8vVaUf7GI+FDZLSQbgYn85++YER22L38+Osu5umzfGyldeacqZ8FC2o/sE8Jbgf+dcxRJ6lWdjH8rgH8tL/amlAamlP4uWzcsIoZ2cqiXKZ1sAr/tNzEcWHW4I3eybAVwQYfM/VNKq7JPGT+fUhoPTAf+iNKl0Ps6liT1tJ4as1YA4zpZvo7SlRujy5YdTzY+ZzM23UXp1o7LgJ+klDaVHfNLHbIOSCndXnas3+bKbkv5BnAVMDz7wPBZILJNVgMjy/Yd1SH/DqCx7GsNTilNOMD7VhWwYCEd2D8Cb4uIU/IOIkm9rHz8+y7wroh4R9YcrX+UphIdmVJaTen+6H+OiKMioiEizsmOcTtwRURMye5t/p/A49mlx4fTq8DwiBhStuzrwJeyE+W9DeMuzp6/JSImZZdEv0HppH1P2bFOOMz5JOlAemrM+h7whxHxvqz55fCImFJWkPhSRByZfd2/pjTe73Ub8KeUbu+7rWz5N4C/zK6+iIgYGBHvjIgj95FhIKUCxtrs/VxB6QqLve4C/ltENGfF72v3rsh+x/wC+EpEDM6ago6LiHP3855VJSxYSAeQUloLfAf4TN5ZJKk3lY9/KaUVwMXA31A64VwBXMN/nkt8kNIJ9HOUel/89+wY/w78LfB9Sp+gjaMH7jtOKT1HqTiyJLtkeATwf4CZwC+yvhyPAWdkuxwL3E3pxH8h8CtKl1yT7XdJlGY7ueFwZ5WkfeiRMSultJxSD4hPAq9Rari594O4jwNbgCXALEpFiW+W7ft4tn4EpcL03uVzKDXK/CdKzUEXA5fv642llBZQ6o/xKKUCyyTg4bJNvkGpKDEXeAq4l1KTzfZs/YcoNV5ekH29uyndkqgqFyl51aMkSZIkqRgi4gLg6yml0QfcWFXNKywkSZIkSbmJiCMi4sLslpVmSjNU/fBA+6n6eYWFJEmSJCk3ETGA0m0uJwHbgJ8C/83ppmXBQpIkSZIkFY63hEiSJEmSpMKpzzvA4dDY2JjGjBmTdwxJ+j1PPPHEupRSU945eoNjsaQichyWpPwd6lhcFQWLMWPGMGfOnLxjSNLviYiX8s7QWxyLJRVR3uNwRJxPadrJOuDmlNLfdVh/DvCPwGTg0pTS3WXrjgduBkYBCbgwpbRsX1/LcVhSUR3qWOwtIZIkSVIPiIg64GvABcB44LKIGN9hs+XA5cBtnRziO8A/pJROBqYBa3ourSQVT1VcYSFJkiQV0DRgcUppCUBE3AFcDCzYu8HeKyYiYk/5jllhoz6ldH+23eZeyixJheEVFpIkSVLPaAZWlL1emS3rihOBjRHxg4h4KiL+Ibti43dExEcjYk5EzFm7du1hiCxJxeEVFpJytWvXLlauXMn27dvzjtIt/fv3Z+TIkTQ0NOQdRZJUHeqBs4E3Ubpt5E5Kt47cUr5RSukm4CaAqVOnpo4HqZbfs9XK8wdp/yxYSMrVypUrOfLIIxkzZgwRkXecQ5JSYv369axcuZKxY8fmHUeSVByrKDXM3GtktqwrVgJPl91O8iPgTDoULA54kCr4PVutPH+QDsxbQiTlavv27QwfPryiT6IiguHDh/vplSSpo9lAa0SMjYi+wKXAzIPYd2hE7J0G8DzKel90VTX8nq1Wnj9IB2bBQlLuquEkqhregyTp8Eop7QauAu4DFgJ3pZTmR8T1EXERQEScHhErgT8BboyI+dm+7cDVwC8jYh4QwDcOJYe/o4rLfxtp/7wlRJIkSeohKaV7gXs7LPtM2fPZlG4V6Wzf+4HJPRpQkgrMKywk1bxBgwb9zutbb72Vq666CoDPfe5zNDc3M2XKFMaPH8/tt9+eR0RJkirS+vXrmTJlClOmTOHYY4/97e/UKVOmsHPnzgPu/+CDD/LII4/0QlJJReQVFpJ0AH/1V3/F1VdfzaJFizjttNO45JJL7OYtSVIXDB8+nKeffhoofQgwaNAgrr766i7v/+CDDzJo0CCmT5/eUxG7pL29nbq635tVVlIP8woLSeqi1tZWBgwYwIYNG3r9a0fENyNiTUQ8u4/1ERE3RMTiiJgbEaeWrftwRCzKHh8uW35aRMzL9rkhshtpI2JYRNyfbX9/RBzV8+9QklQrnnjiCc4991xOO+003vGOd7B69WoAbrjhBsaPH8/kyZO59NJLWbZsGV//+tf56le/ypQpU3jooYd+5zibN2/miiuuYNKkSUyePJnvf//7ANx+++1MmjSJiRMncu211wLw9a9/nWuuuea3+5ZfTfnd736XadOmMWXKFD72sY/R3t4OlK7A/OQnP8kpp5zCo48+yvXXX8/pp5/OxIkT+ehHP0pKpVlkZ8+ezeTJk5kyZQrXXHMNEydOBEpFjmuuuYbTTz+dyZMnc+ONN/bgd1WqTl5hIakwPn/PfBa8/MZhPeb4EYP57Lsm7Hebbdu2MWXKlN++fu2117jooot+b7snn3yS1tZWjj766MOasYtuBf4J+M4+1l8AtGaPM4B/Ac6IiGHAZ4GpQAKeiIiZKaUN2TZ/ATxO6f7q84GfAZ8CfplS+ruI+FT2+toeel+SpF6S1+/ZciklPv7xj/PjH/+Ypqb/n707D4+yPvc//r6zZyAkmbAnwyoKiAjIKti6S7UuYFu17seqPVbt6qmntZ7+tJ7a033x9NS21qVWaj1qFWm1WjyKJhRkFRBIwpKFJZkkEMiefH9/zIRGZAnZnlk+r+viIvPM8zxzj15k+eT7ve9B/PGPf+Sb3/wmjz32GA8//DDbtm0jNTWVmpoasrKy+PznP3/UVRkPPvggmZmZrF+/HoDq6mrKy8v5+te/znvvvUd2djYXXnghL774IldeeSVz5szh+9//PsCh1920aRN//OMfeeedd0hOTuaOO+7g6aef5oYbbuDgwYPMmjWLH/7wh6H3OnEi998faj9y/fXXs3jxYi699FJuvvlmfv3rXzNnzhzuvffeQ/X99re/JTMzkxUrVtDY2MjcuXO58MILNcJU5AQosBCJM3v2N/DI0kL+bf54+qfqUwBAenr6oeWqEPqty8qVKw89/vGPf8zvfvc7tmzZwssvv+xFiTjn3jKzUcc45XLgSRf6dU+BmWWZ2TDgbOBvzrkqADP7GzDfzN4EBjjnCsLHnwSuIBRYXB6+DuAJ4E16IbB4/J1tFBRX9fRtRaSbhmWl8a1LJpKQoOkF0vMaGxt5//33ueCCC4DQKoRhw4YBMHnyZK699lquuOIKrrjiiuPe6/XXX2fRokWHHmdnZ/PWW29x9tlnM2hQaBrstddey1tvvcUVV1zBmDFjKCgoYNy4cXzwwQfMnTuXRx55hPfee48ZM2YAoV9itP9iIjExkSuvvPLQ/ZcuXcp//dd/UVdXR1VVFaeeeipnnXUWtbW1zJkzB4DPfvazLF68GIDXXnuNdevW8dxzzwGwb98+tm7dqsBCotazK0pYsb2K7y48jaTEvtmsoZ9WROLMg4s3snjdLsYNyeD62SO9LudDTuQ3NH2pvYfFSy+9xC233EJRURFpaWlel3W4XKCkw+PS8LFjHS89wnGAIc65XeGPdwNDjvaiZnYbcBvAiBEjTqjgigONbKs8eELXiEjv2t/QzF83NPAvc0cT8Pu8Lkd6WCR8nXXOceqpp5Kfn/+R51555RXeeustXn75ZR566KFDKyd6ytVXX82zzz7L+PHjWbBgAWaGc44bb7yR7373ux85Py0t7VDfioaGBu644w5WrlxJIBDg29/+Ng0NDcd8PeccP//5z7nooot69H2IeGXJ+7sora7vs7ACFFiIxJUV26tYvG4XZvDCqtKICywi3WWXXcZvf/tbnnjiCW6//Xavy+kTzjlnZu4Yzz8KPAowffr0o553JPdcNJ57LhrfzQpFpCct21rJdb9dTkl1nQIL6RWpqalUVFSQn5/PnDlzaG5uZsuWLUyYMIGSkhLOOecc5s2bx6JFizhw4AAZGRns33/kbSwXXHABjzzyCD/5yU+A0JaQmTNncvfdd1NZWUl2djbPPPMMd911FwALFizgoYceYvXq1Xzve98D4LzzzuPyyy/ny1/+MoMHD6aqqora2lpGjvzw90jt4cTAgQM5cOAAzz33HJ/61KfIysoiIyOD5cuXM2vsN1qSAAAgAElEQVTWrA+t+Ljooov45S9/ybnnnktycjJbtmwhNzeXfv369fh/V5He1tzaxoptVSycdsQpzL1GTTdF4kRbm+OBlzcyLDONu84dx6qdNWzXb7dP2P3338+PfvQj2travC7lcGVAoMPjvPCxYx3PO8JxgD3h7SSE/97bSzWLSIQZEQ4pSqrqPK5EYlVCQgLPPfccX//61zn99NOZMmUK7777Lq2trVx33XWcdtppTJ06lbvvvpusrCwuvfRSXnjhhSM23bzvvvuorq5m0qRJnH766SxdupRhw4bx8MMPc84553D66adzxhlncPnllwOhLSMTJkxgx44dzJw5Ewj1pfjOd77DhRdeyOTJk7ngggsONQHtKCsri1tvvZVJkyZx0UUXHdpCAqFeFbfeeitTpkzh4MGDZGZmAvC5z32OiRMnMm3aNCZNmsTtt99OS0tLb/2nFelV68v2cbCpldljcvr0da29u200mz59uuu431xEPupPK0u457l1/PTqKcwc7efMh//OXeeO4ysXnOxpXZs2bWLChAme1tBTjvRezOw959z0nrh/uIfFYufcpCM8dwlwJ3AxoaabP3POzQw33XwPaJ8asgo4wzlXZWb/AO7mn003f+6cW2Jm3weCHZpu+p1z/3a8+vS5WCT6Nbe2ccp9f+GOs0/iaxed4nU5PaInPw9HuiN9Ho6lr7OR6sCBA/Tv3x+Ahx9+mF27dvHTn/6009fr/5FEg0eWFvL9Vzfz3n3nk9M/9YSv7+rnYm0JEYkDBxpb+K9XNzN1RBaXnT4cM+PMsTm8uLqML58/jvA0S4lgZvYMoUaYA82slNDkj2QA59z/EAocLgYKgTrg5vBzVWb2ILAifKsH2htwAncQmj6STqjZ5l/Cxx8GnjWzW4AdwGd6872JSORITkxgWGY6JdVaYSHSWa+88grf/e53aWlpYeTIkTz++ONelyTS4wqKg5wyJKNLYUV3KLAQiQP/vbSQitpGfn3D9EPhxIKpeXztT2t5b0c100f5Pa5Qjsc5d81xnnfAF47y3GPAY0c4vhL4yGoN51wQOK9rlYpItAv407UlROQEXHXVVVx11VVelyHSa5pa2li5vZqrZgSOf3IPUw8LkRhXUlXHb5ZtY+HUXKYEsg4dnz9pKGnJCfzvqrJjXN03YmFrWiy8BxERgEC2j5Lqeq/LkB6kr1GRS/9vJBqsK62hvrnv+1eAAguRmPfdv2wi0Yx/m//haQz9U5OYf+pQXllXTkNzq0fVhUaGBYPBqP6C7ZwjGAxG4qhTEZETFvD7qKht9PRrg/ScWPg6G6v0/YNEi/yiIGYwa3Tfr8rWlhCRGFZQHGTJ+t185YKTGZr50S+GC6bl8eKacpZ+sJdPnDbMgwohLy+P0tJSKioqPHn9npKWlkZeXt+OeRIR6Q0BfzoApdV1nDQ4w+NqpLti5etsrNL3DxIN8ouDjB86gOx+KX3+2gosRGJUa3iM6fDMNG772JgjnjN3bA6DM1L531VlngUWycnJjB492pPXFhGRjwpkt482rVdgEQP0dVZEuqOxpZX3dlRz7ayRnry+toSIxKjn3ith46793HvxBNKSE494TlJiApdPGc6bm/dSdbCpjysUEZFINMIfCix2qvGmiEjcW7OzhsaWNuaM7fv+FaDAQiQm1TY08/1XNzN9ZDaXTj72yokFU/NoaXMsXlfeR9WJiEgkG5SRSmpSgiaFiIgI+cWh/hUzPZoqqMBCJAb9YmkhlQeauP/SiYfGmB7NxOEDGD80IyKmhYiIiPfMjLzsdEqqFViIiMS7/KIgpw4fQKYv2ZPXV2AhEmN2BA/yu2XbuXJaHpPzso5/AbBwWi5rS2ooqjjQy9WJiEg0CPh9lFRptKmISDxraG5l9c4a5ngwzrSdAguRGPOfSzaRlGj82/xTOn3N5VNySTB4cbVWWYiISKjxplZYiIjEt1U7q2lq9a5/BSiwEIkp7xZV8uqGPXzhnJMYMqDzM72HDEhj7kkDeX5VGW1tmtMuIhLvAv50ahta2FfX7HUpIiLikYKiIAkGMzzqXwEKLERiRvsY09ysdG6Zd+LjyxZOy6Wspp4V26t6oToREYkmh0abapWFiEjcyi8OclpuJhlp3vSvAAUWIjHjjytK+GB3Ld84xhjTY7no1KH4UhJ5QdtCRETiXiA82lSTQkRE4lN9UytrSmqY7eF2EFBgIRIT9jc088PXNjNzlJ+LTxvapXv4UpKYP2kor6zbRUNzaw9XKCIi0eRQYKEVFiIicWnljiqaW52nDTdBgYVITPj5G1upquvcGNNjWTg1j9rGFl7ftKcHqxMRkWiTmZ7MgLQkdmqFhYhIXCooDpKUYJ72rwAFFiJRb1vlQR5/dzufPiOPSbmZ3brXnLE5DBmQygurtC1ERCTeabSpiEj8yi8KMjkvk36pSZ7WocBCJMo99MomUpMS+dpFnR9jejSJCcYVU3N5c0sFlQcae6A6ERGJVhptKiISnw42trCudB+zPd4OAgosRKLasq2VvL4pNMZ0cEbnx5gey8KpebS2OV5eW94j9xMRkegU8KdTWl2vcdciInFmxfYqWtocczxuuAkKLESiVktrGw8u3kjAn87Nc0f12H1PGZrBxGEDNC1ERCTOBfw+mlraqNCKOxGRuJJfHCQ50Zg+0tv+FaDAQiRqPbOihM17avlmF8eYHsvCabmsK91H4d7aHr2viIhEj0C2RpuKiMSjguIqpgSySE/p2Z8xukKBhUgU2lfXzI9e28zsMX4uOrVrY0yP5bIpw0kweF7NN0VE4lbAnw5otKmISDypbWjm/bLI6F8BCixEotLP/r6Vmvpm7v/kqd0aY3o0gzPSOGvcIF5cXaa9yyIicSrv0AoLTQoREYkXK7ZX0drmmBMrgYWZzTezzWZWaGb3HuH5EWa21MxWm9k6M7s4fDzZzJ4ws/VmtsnM/r2z9xSJZ0UVB3ji3e1cPSPAxOEDeu11Fk7LpXxfAwXbgr32GiIiErnSkhMZnJHKTm0JERGJG/lFQVISE5g2MtvrUoBuBhZmlgg8AnwCmAhcY2YTDzvtPuBZ59xU4Grgv8PHPw2kOudOA84AbjezUZ28p0jceuiVTaQnJ/LVC7s/xvRYLpw4lP6pSbygbSEiInEr4Peph4WISBwpKK5i6oisHu+R11XdXWExEyh0zhU755qARcDlh53jgPZfA2cC5R2O9zOzJCAdaAL2d/KeInHp/7ZU8PcP9nLXeScxsH9qr75Wekoin5g0lL+8v5v6ptZefS0REYlMgezQaFMREYl9++qb2VC+LyLGmbbrbmCRC5R0eFwaPtbRt4HrzKwUWALcFT7+HHAQ2AXsBH7gnKvq5D0xs9vMbKWZrayoqOjm2xCJfC2tbXxn8UZG5vi48cxRffKaC6blcqCxhdc27u6T1xMRkcgS8PvYta+e5tY2r0sREZFe9o9tVbQ5IqbhJvRN081rgMedc3nAxcBTZpZAaCVFKzAcGA181czGdPamzrlHnXPTnXPTBw0a1Bt1i0SUp5fvZOveA3zz4gmkJvXNEq3Zo3MYnpnGC6u1LUREJB4Fsn20OSiv0SoLEZFYl18UJDUpgakjsrwu5ZDuBhZlQKDD47zwsY5uAZ4FcM7lA2nAQOCzwF+dc83Oub3AO8D0Tt5TJK7U1DXx49e3MPekHC6YOKTPXjchwbhiai5vb61kb21Dn72uiIhEhrz20aaaFCIiEvPyi4OcMTK7z3452hndDSxWAOPMbLSZpRBqqvnSYefsBM4DMLMJhAKLivDxc8PH+wGzgQ86eU+RuPKT17eyv76Zb31yYq+MMT2WhdNyaW1zvLSm/Pgni4hITAm0jzatVuNNEZFYVlPXxAe790fMONN23QosnHMtwJ3Aq8AmQtNANpjZA2Z2Wfi0rwK3mtla4BngJuecIzQJpL+ZbSAUUvzOObfuaPfsTp0i0axwby1PFezgmpkjGD+098aYHs1JgzM4LTdT20JEROLQsMw0khJMk0JERGJcQXEVzsHsCGq4CZDU3Rs455YQaqbZ8dj9HT7eCMw9wnUHCI027dQ9ReLVg4s34UtJ5CsXnOxZDQun5fL/Xt7I5t21nDI0w7M6RESkbyUlJjA8K52dCixERGJaQXGQ9ORETs+LnP4V0DdNN0Wki5Zu3sv/bangi+eNI6eXx5gey6WnDycxwXh+dalnNYiIiDcC/nRKNNpURCSm5RcFmT4qm5SkyIoIIqsaETmkOTzGdMzAftwwZ5SntQzsn8rHTx7En1eX09rmPK1FRET6ViDbR6lWWIiIxKzggUY276mNqHGm7RRYiESop/J3UFRxkG9eMiEiks6F03LZvb+B/KKg16WIiEgfCvh9BA82cbCxxetSRESkFyzfVgXAnAjrXwEKLEQiUvXBJn7y+hbOGjeQc8cP9rocAM6fMISM1CRtCxERiTN52aHRpqXaFiIiEpPyi4L4UhI5LTfT61I+QoGFSAT68etbONjU6skY06NJS07k4tOG8df3d1PXpN+yiYjEi4A/PNpU20JERGJSfnGQGaP8JCdGXjwQeRWJxLkte2p5evlOrp01gpOHRNZEjoXTcqlrauXVDbu9LkVERPpIIDscWFQrsBARiTV7axso3HsgIreDgAILkYjinOPBxRvpl5LIl8/3bozp0cwY5Sc3K53nV5V5XYqIiPSRgf1TSE9OpKRKW0JERGLN8uJw/4oIbLgJCixEIsrfP9jL21sr+dL5J5PdL8Xrcj4iIcFYMDWXdwor2bO/wetyRESkD5gZAX86O7UlREQk5uQXB8lITeLU4QO8LuWIFFiIRIimlja+88omxg7qx/VzRnpdzlEtmJZLm4M/r9EqCxGReBHI9lGqLSEiIjGnoCjIjNF+kiKwfwUosBCJGE/mb2db5UHu++TEiGx4027soP6cHsjSthARkTgS8PsoqarDOed1KSIi0kP27G+guPJgxG4HAQUWIhEheKCRn76xlY+fPIhzTomMMabHsnBqLh/srmVj+X6vSxERkT6Ql53OwaZWquuavS5FRER6SH5RECBiG26CAguRiPCjv22hrqmVb31ygteldMqlpw8nKcF4YXWp16WIiEgf0GhTEZHYU1AcZEBaEhOGRWb/ClBgIeK5Tbv288w/dnL97JGcNDiyxpgejb9fCmefMpg/rymntU3Lg0VEYp1Gm3admc03s81mVmhm9x7h+Y+Z2SozazGzTx3h+QFmVmpmv+ibikUkXuQXB5k5OofEBPO6lKNSYCHiIecc33llIwPSk/nS+eO8LueEXDktl721jbxTWOl1KSIi0ssC/nQAjTY9QWaWCDwCfAKYCFxjZhMPO20ncBPwh6Pc5kHgrd6qUUTiU3lNPTuCdRG9HQQUWIh46m8b9/BOYZAvn38yWb7IG2N6LOdOGMyAtCSeX6VtISIisS4jLZlsX7JWWJy4mUChc67YOdcELAIu73iCc267c24d0Hb4xWZ2BjAEeK0vihWR+HGof0UEN9wEBRYinmlsaeWhJZsYN7g/184a4XU5Jyw1KZFLJg/n1Q17ONjY4nU5IiLSy9onhcgJyQVKOjwuDR87LjNLAH4IfO04591mZivNbGVFRUWXCxWR+JJfHCTbl8z4oZG9JV2BhYhHnnh3OzuCdXzrkxMjdu7x8Vw5LZf65lb++v5ur0sREZFeFshWYNHH7gCWOOeOuZTROfeoc266c276oEGD+qg0EYl2BcVBZo3OISGC+1eAAgsRT1QeaOTnbxRy7vjBfOzk6P3m4oyR2Yzw+3he00JERGJenj+dspp6NVs+MWVAoMPjvPCxzpgD3Glm24EfADeY2cM9W56IxKOSqjpKq+uZPcbvdSnHpcBCxAM/fG0z9c2tfPOS6BhjejRmxhVTc3m3KMiufWrEJiISywLZPppbHXv2N3hdSjRZAYwzs9FmlgJcDbzUmQudc9c650Y450YR2hbypHPuI1NGREROVH5xuH/F2IEeV3J8CixE+tiG8n0sWlHCjWeOYuyg/l6X020Lp+biHPx5TbnXpYiISC8K+MOjTbUtpNOccy3AncCrwCbgWefcBjN7wMwuAzCzGWZWCnwa+JWZbfCuYhGJBwVFQXL6pXDykMj/WSTJ6wJE4olzjgde3khWejJ3nxtdY0yPZtTAfkwbkcXzq0q5/WNjMIvsfXAiItI1gezwaNPqemZ5XEs0cc4tAZYcduz+Dh+vILRV5Fj3eBx4vBfKE5E445yjoDjI7DE5UfF9u1ZYiPShVzfsZvm2Kr5y4Slk+pK9LqfHLJiWx5Y9B9hQvt/rUkREpJfkZqdjphUWIiLRbGdVHeX7GqKifwUosBDpMw3NoTGmpwzJ4JoZgeNfEEUunTyM5ETjhdWd7SMmIiLRJjUpkaED0iipVmAhIhKt8ova+1fkeFxJ5yiwEOkjv3tnOyVV9VE9xvRosnwpnDt+MH9eU05La5vX5YiISC/RaFMRkeiWXxxkUEZq1PTSi62fmkQi1N7aBn7x962cP2EI88ZFfjferlgwNY/KA428XVjpdSkiItJL8vzplFRpKpSISDRyzpFfFD39K0CBhUif+MGrm2lqbYv6MabHcs74QWT5knlhlbaFiIjEqkC2jz21DTS2tHpdioiInKBtlQfZW9vInDHRsR0EFFiI9Lr3y/bxp/dKuXnuaEYP7Od1Ob0mNSmRT04exqsbdlPb0Ox1OSIi0gsCfh/OQVm1VlmIiESb/OJQ/4poabgJCixEelX7GFO/L4U7zz3J63J63YKpeTS2tPGX93d7XYqIiPSCjqNNRUQkuuQXBRkyIDWqfomqwEKkFy1Zv5t/bK/iqxeewoC02BljejTTRmQxKsenbSEiIjEq4PcBGm0qIhJtnHMUFFcxJ4r6V4ACC5Fe09Dcyn8u2cT4oRlcFWNjTI/GzFgwNY/84iBlNfrtm4hIrBkyII3kRNNoUxGRKFO49wCVBxqjZpxpOwUWIj1s974GXlxdxp1/WE1ZTT33XzqRxIToSTG7a8HUXABeXK1VFj3JzOab2WYzKzSze4/w/Egze8PM1pnZm2aW1+G575nZ++E/V3U4fq6ZrQoff8LMksLHs83shfC9/mFmk/rmXYpIpEtMMPKyfZRqUoiISFQpCPevmDMmuiYWJnldgEi027WvnuXFVRQUBykoDrI9GPqtU0ZaEp//+FjOHBtdnxS6a0SOjxmjsnlhdRl3nD02qpacRSozSwQeAS4ASoEVZvaSc25jh9N+ADzpnHvCzM4Fvgtcb2aXANOAKUAq8KaZ/QU4ADwBnOec22JmDwA3Ar8FvgGscc4tMLPx4dc+r0/erIhEvLzsdHZqS4iISFTJLw4yPDONgD/d61JOiAILkRNUXlPP8m1BCoqqKNgWZEc4oBiQlsTM0TlcN3sks8fkMGHYgLhaWdHRgql5fOOF9awv28fkvCyvy4kFM4FC51wxgJktAi4HOgYWE4GvhD9eCrzY4fhbzrkWoMXM1gHzw+c0Oee2hM/7G/DvhAKLicDDAM65D8xslJkNcc7t6a03KCLRI+D3sb5sl9dliIhIJ7W1hfpXnH3KoKj7ZaICC5HjKK+pP7R6Yvm2qg8FFLPG5HC9AoqPuOS0YXz75Q08v6pMgUXPyAVKOjwuBWYdds5aYCHwU2ABkGFmOeHj/2FmPwR8wDmEgo5KIMnMpjvnVgKfAgKH3ettM5sJjATyAAUWIkIg20dNXTO1Dc1kxEFDaRGRaLdlby1VB5uYMya6+leAAguRjyirqWd5OKAoKK46tOw1Mz2ZmaP93DBnFLPH+Bk/VAHF0WT6kjl/wmBeXlvONy+ZQHKi2uX0ga8BvzCzm4C3gDKg1Tn3mpnNAN4FKoD88HFnZlcDPzazVOA1oDV8r4eBn5rZGmA9sLrDcx9iZrcBtwGMGDGit96biESQ9uXEJVX1TByuwEJEJNLlF4X6V8xWYCESfcpq6ikoCgcU24KUhBuJZaYnM2u0n5vOHMXsMTmMH5pBggKKTlswNY8l63fz1pYKzpswxOtyol0Z/1z9AKHVDh/qauqcKye0KgIz6w9c6ZyrCT/3EPBQ+Lk/AFvCx/OBs8LHLwRODh/fD9wcPm7ANqD4SIU55x4FHgWYPn266/Y7FZGIF8gOjzatrmPi8AEeVyMiIsdTUBwkLzv90GjqaNKtwMLM5hNafpwI/MY59/Bhz48g1NQtK3zOvc65JWZ2LXBPh1MnA9Occ2vM7E1gGNDefvpC59ze7tQp0lFpdR0F4SaZyzsEFFm+UEBx85mjFVD0gI+fPAh/vxSeX12mwKL7VgDjzGw0oaDiauCzHU8ws4FAlXOujVAvisfCxxOBLOdc0MwmE/p8+1r4ucHOub3hFRZf55+hRhZQ55xrAj5HqAfG/j54nyISBdq/4S1R400RkYjX1uZYvq2KC6L0+/EuBxad7Fp/H/Csc+6XZjYRWAKMcs49DTwdvs9pwIvOuTUdrrs2vKdapNtKqupYvu2fUzxKq0MBRbYvtMXjX+aGAopThiig6EkpSQlcOnkYz6woYV99M5npWjbcVc65FjO7E3iVUPj7mHNuQ3iyx0rn3EvA2cB3zcwR2hLyhfDlyYR6UQDsB64LN+AEuMfMPkloxPUvnXN/Dx+fADwRvtcG4JZef5MiEjWyfcn0S0k89PVUREQi16bd+6mpa2bO2OjbDgLdW2HRma71DmhfK5gJlB/hPtcAi7pRh8iHlFTVHeo/UVAcpKzmnwHFrNE5fG7eaGaPzeHkwQooetuCaXk8kb+Dv6zfxdUz1d+gO5xzSwiFvh2P3d/h4+eA545wXQOhqR9Huuc9fHi1W/vxfMLbQ0REDmdmBPw+rbAQEYkC7f0r4jGw6EzX+m8Dr5nZXUA/4Pwj3OcqQkFHR78zs1bgf4HvOOc+si9ajd6k3a599by9tTK0xaO46kMBxewxOdx6lgIKr5yel8mYQf14fnWZAgsRkRgS8PvYXnnQ6zJEROQ4CoqrGJXjY1hmuteldElvN928BnjcOfdDM5sDPGVmk8J7rDGzWYT2Sb/f4ZprnXNlZpZBKLC4Hnjy8Bur0ZsAvLl5L7c99R5NLW34+6Uwa7Sf2z42htljchg3uL8CCo+ZGQun5vKD17ZQUlUXlY1+RETkowLZPpZtrcQ5R3jLmYiIRJjWNsfybUEuOW2Y16V0WXcCi+N2rSe073k+hJYYm1kaMBBob6J5NfBMxwucc2Xhv2vD3exncoTAQqQ9rBg3uD8//MzpWkERoS6fEgosXlxdxl3njfO6HBER6QEBfzr1za1UHmhiUEaq1+WIiMgRbCzfT21DS9RuB4FQo7WuOtS13sxSCIUPLx12zk7gPAAzmwCkARXhxwnAZ+jQv8LMksKd7jGzZOCTwPuIHGbp5r3c9uR7nDykP09/bhbjhw5QWBGhAn4fs0b7eWF1GUfY3SUiIlGo42hTERGJTPnFlQDMGROHgUW4y3x71/pNhKaBbDCzB8zssvBpXwVuNbO1hFZS3NShH8XHgJL2pp1hqcCrZrYOWENoxcavu1qjxKalm/dy+5PvcfLQ/vz+lllk+VK8LkmOY+G0XIorD7K2dJ/XpYiISA/QaFMRkciXXxRkzKB+DB6Q5nUpXdatHhad6Fq/EZh7lGvfBGYfduwgcEZ3apLYtvSDvdz+lMKKaPOJ04Zx/5838PyqUqYEsrwuR0REuikvO9S8TaNNRUQiU0trGyu2V3PZlOFel9It3dkSItKn/v7BHm5/6j1OGZrB07fMVlgRRQakJXPBxCG8vLacppY2r8sREZFu6peaxMD+KVphISISod4v38+Bxpao3g4CCiwkSryxaQ+ff2oV44dl8PtbZpHpS/a6JDlBC6flUl3XzP9tqfC6FBER6QF52T71sBARiVD5RUEAZiuwEOldb2zaw7/+PhRWPPUvCiui1VnjBpHTL4XnV5V6XYqIiPSAgN/HTq2wEBGJSPnFQcYN7h/1k5wUWEhEe2PTHj7/+/dCYYVWVkS15MQELpsynDc27WVfXbPX5YiISDcFstMpr2mgpVVb/UREIklzaxsrt1dF9TjTdgosJGK9vjEUVkwcNiAUVqQrrIh2C6fm0dTaxivrd3ldioiIdFPA76O1zbFrX4PXpYiISAfrSvdR19Qa9dtBQIGFRKi/bdzDvz4dCiueVFgRMyblDmDc4P7aFiIiEgMC2eHRpupjISISUQqKY6N/BSiwkAj0t417uOPp95g4PFNhRYwxMxZMy2Xljmp2BA96XY6IiHRDwB8ebVql0aYiIpEkvyjI+KEZ+PtF/1RFBRYSUV7bsPtQWPHULTMVVsSgK6bkYgYvrC7zuhQREemG4VnpJJhWWIiIRJLGllZW7qiKidUVoMBCIshrG3bzhT+s4tRwWDEgTWFFLBqelc6cMTm8sLoM55zX5YiISBclJyYwLDOdEk0KERGJGOtK99HQ3BYTDTdBgYVEiNDKilBY8aTCipi3YGouO4J1rNpZ43UpIiLSDQF/OiXV2hIiIhIp8ouCmMGs0X6vS+kRCizEc6+Gw4rT8hRWxItPnDaMtOQENd8UEYlygWyfVliIiESQ/KIgE4YOIMsX/f0rQIGFeOyv7+/mC+1hxb8orIgX/VOTuOjUoSxet4vGllavyxERkS4K+H3srW2koVmfy0VEvNbQ3Mp7O6tjZjsIKLAQD/31/V3c+Yd/hhUZCiviyoKpueyrb2bpBxVelyIiIl10aFKIGm+KiHhu9c4amlramBMjDTdBgYV4JBRWrGaywoq4Ne+kgQzsn6ptISIiUSyQ7QOgRKNNRUQ8V1AcJMFgRoz0rwAFFuKBv6wPhRWnB7J4QmFF3EpKTOCKKcNZunkv1QebvC5HRES6IOAPBxZaYSEi4rn84iCnDs8kMz12fr5SYCF96i/rd3HnMworJGTBtFyaWx2L1+/yuhQREemCQf1TSUlKUKR5vIsAACAASURBVONNERGPNTS3smZnTUz1rwAFFtKHloTDiinhsKJ/apLXJYnHJg4bwClDMrQtREQkSiUkGIHsdG0JERHx2Hs7qmlqja3+FaDAQvrIkvW7uOuZ1UxVWCEdmBkLp+WyemcN2yoPel2OiIh0QcDv05YQERGP5RcFSUwwpo/K9rqUHqXAQnrdK+tCYcW0EVk8rrBCDnP5lFzM4IXVZV6XIiIiXRDI9mlLiIiIxwqKg0zKzYy5LfcKLKRXLV5Xzt2LQmHF725WWCEfNTQzjbljB/LC6lKcc16XIyIiJyjgT2d/Qwv76pq9LkVEJC7VNbWwtrQm5raDgAIL6UWL15XzxUVrFFbIcS2clktJVT0rd1R7XYqIiJygQ6NNtS1ERMQTK7dX09zqYq7hJiiwkF7y8tpQWHHGiGweV1ghx3HRqUNJT07k+VXaFiIiEm0OjTbVthAREU/kFwdJSjCmj4yt/hWgwEJ6wctry/nSH9dwxshsfnfzDPoprJDj6JeaxPxJQ1m8rpyG5lavyxERkROgFRYiIt4qKA5yeiArJn/uUmAhPeqlteV8cdHqUFhxk8IK6byF03KpbWjhtY17vC5FREROQKYvmYy0JI02FRHxwIHGFtaV7mP2GL/XpfQKBRbSY15aW86XFq1m+ii/wgo5YWeOHcjogf24509rWfSPnWrAKSISRUZotKmIiCdWbK+itc0xZ8xAr0vpFQospEf8eU0ZX1q0mhmj/DyubSDSBYkJxp8+P4eZo/3c+/x6vvTHNRxobPG6LBER6QSNNhUR8UZBUZDkROOMGOxfAQospAf8eU0ZX/7jGmaM8vO7m2fgS1FYIV0zsH8qT9w8k3suOoWX15Zz2c+XsbF8v9dliYjIcQT86ZRW19PWptVxIiJ9Kb84yNRANukpiV6X0isUWEi3vLg6FFbMHK2wQnpGQoLxhXNO4plbZ3OwqYUr/vsd/rBcW0RERCJZwO+jsaWNigONXpciIhI39jc0835Z7PavAAUW0g0vri7jK8+uYdboHB67SWGF9KxZY3JYcvdZzB6TwzdeWM/di9ZQ29DsdVkiInIEhyaFaFuIiEifWbGtijYHs8fmeF1Kr1FgIV3ywurSQ2HFb2+arrBCekVO/1Qev2kG91x0CkvW7+LSny/j/bJ9XpclIiKHCfjTAY02PRIzm29mm82s0MzuPcLzHzOzVWbWYmaf6nB8ipnlm9kGM1tnZlf1beUiEunyi4KkJCUwbURs9q8ABRbSBS+sLuWrz67VygrpE+1bRBbdNpuG5jYW/vJdnirYoS0iIiIRJO/QCguNNu3IzBKBR4BPABOBa8xs4mGn7QRuAv5w2PE64Abn3KnAfOAnZpbVuxWLSDTJLw4ybUQWacmx2b8CFFjICXp+VSlfeXYts8eEwopYbe4ikWfGKD9LvngWZ47N4Vsvvs+dz6xmv7aIiIhEhLTkRAZlpGpLyEfNBAqdc8XOuSZgEXB5xxOcc9udc+uAtsOOb3HObQ1/XA7sBQb1TdkiEulq6prYuGt/zI4zbafAQjrt+VWlfPVPazlzbA6/vVFhhfQ9f78UHrtxBl+fP56/vr9bW0RERCLICL9PW0I+Khco6fC4NHzshJjZTCAFKDrCc7eZ2UozW1lRUdHlQkUkuvxjWxXOEdMNN0GBhXRSflHwUFjxmxsUVoh3EhKMfz17LH+8bTZNLW0s/O93eTJ/u7aIiIh4LJCdri0hvcDMhgFPATc759oOf94596hzbrpzbvqgQVqAIRIv8ouDpCYlMGVEbO8UU2AhnfLyunL6pSQprJCIMX2UnyV3n8W8cQO5/88b+MIfVmmLiIiIhwJ+H7v21dPc+pGfqeNZGRDo8DgvfKxTzGwA8ArwTedcQQ/XJiJRLL8oyPRR2aQmxfbPZgospFOWba1k9pgchRUSUbL7pfCbG6bzjYvH8+qGPXzyZ8tYV1rjdVkiInEpkO2jzUF5jVZZdLACGGdmo80sBbgaeKkzF4bPfwF40jn3XC/WKCJRpupgEx/srmXOmNgdZ9quW4FFJ8Y0jTCzpWa2OjyO6eLw8WvNbE2HP21mNiX83Blmtj58z5+ZmXWnRum+ncE6dlbVMe+k2P8HIdEnIcG47WNjefb22bS0tnHlL9/l8Xe2aYuIiEgfy2sfbaptIYc451qAO4FXgU3As865DWb2gJldBmBmM8ysFPg08Csz2xC+/DPAx4CbOnzPPMWDtyEiEeYf24IAzI6DwKLL8yg7jGm6gFADoRVm9pJzbmOH0+4j9In5l+ERTkuAUc65p4Gnw/c5DXjRObcmfM0vgVuB5eHz5wN/6Wqd0n3LCisBmDdO+yIlcp0x0s8rd5/FPc+t5dsvb6SguIrvfWoymenJXpcmIhIXAu2jTdV480Occ0sIfU/b8dj9HT5eQWiryOHX/R74fa8XKCJRJ78oSHpyIpPzYrt/BXRvhcVxxzQBDhgQ/jgTKD/Cfa4JX9veVGiAc67AhX49+iRwRTdqlB7wTmElQwekMXZQP69LETmm7H4p/PqG6dx3yQRe37SHS372NmtKtEVERKQvDMtMIzHBNNpURKSX5ReH+lekJMV+h4fuvMPOjGn6NnBdeJnbEuCuI9znKuCZDvcsPc49AY1w6iutbY53iiqZe9JAtDtHooGZ8bmzxvDs5+fgHHz6f97lsWXaIiIi0tuSEhMYnpVGSbW2hIiI9JbKA41s2XOAOWNjfzsI9H7TzWuAx51zecDFwFNmdug1zWwWUOece/9Eb6wRTn1jY/l+auqaOWvcQK9LETkh00Zk88rd8/j4yYN5YPFGbn/qPfbVaYqIiEhvGuH3aYWFiEgvKigO9a+Ih4ab0L3AojNjmm4BngVwzuUDaUDHn3yv5p+rK9rv2XEP3wmNfpKe93ZhaPXKmWq4KVEoy5fCr284g/sumcDSzXu5+Gdvs3pntddliYjErEC2j1L1sBAR6TUFxUH6pSQyKTfT61L6RHcCi86MadoJnAdgZhMIBRYV4ccJhLofL2o/2Tm3C9hvZrPD00FuAP7cjRqlm94prGT80AwGZ6R5XYpIl7RvEfnT58/EDD79P/n85u1ibREREekFAb+PygNN1DW1eF2KiEhMyi8KMmO0n+TE2O9fAd0ILDozpgn4KnCrma0ltJLiJvfPnxI+BpQ454oPu/UdwG+AQqAITQjxTENzKyu2VzP3JG0Hkeg3JZDFK3edxbnjB/OdVzZx65PvUVPX5HVZIiIxJS9bo01FRHrL3v0NFFUcjJvtINCNsabQqTFNG4G5R7n2TWD2EY6vBCZ1py7pGSu2V9HU0sY89a+QGJHpS+ZX15/B4+9u5z+XbOKSny3jZ9dM5YyR2V6XJiISEwL+8GjTqjpOGZrhcTUiIrElv71/RZw03ITeb7opUWxZYSXJicas0X6vSxHpMWbGzXNH89znzyQhAa76VT6PvlVEW5u2iIiIdFcgOxxYqI+FiEiPKygOkpGaxKnD46N/BSiwkGNYtrWSaSOy8aV0ayGOSEQ6PZDF4rvO4vwJQ/jPJR9w65MrqT6oLSIiIt0xsH8K6cmJ2hIiItILCoqrmDnaT2KCeV1Kn1FgIUdUdbCJDeX7maf+FRLDMtOT+eV10/h/l53K21srueRnb/PejiqvyxIRiVpmRl52ulZYiIj0sN37GthWeTCutoOAAgs5incKKwHUv0Jinplx45mj+N9/PZOkxAQ+86sC/uf/tEVERKSrRvh9lFQpsBAR6Un5xaGfz2bHUcNNUGAhR/FOYSUZaUmcFifzfUVOy8tk8d3zmH/qUB7+ywf8yxMrqNIWERGRExbw+yitrtf4aBGRHpRfFCQzPZmJwwZ4XUqfUmAhH+Gc4+2tlcwZk0NSnMz3FQEYkJbMLz47lQcvP5V3C4Nc/NO3WbFdW0RERE5EXnY6BxpbqKlr9roUEZGY0d6/IiGO+leAAgs5gh3BOspq6jlL20EkDpkZ188ZxfN3nElqcgJXP1rAf79ZqC0iIiKd1D7adKe2hYiI9Iiymnp2VtUxJ862g4ACCzmCt8P9K+aq4abEsUm5mSy+ax7zJw3lv/66mZsfX8GBxhavyxIRiXgabSoi0rPyi4IAcddwE0DzKuUj3tlaSW5WOqMH9vO6FBFPZaQl84trpjJnTA5vbq7Al5zodUkiIhEv4E8H0GhTEZEekl8UJNuXzClDMrwupc8psJAPaW1zvFtUyfxJQzGLr/1RIkdiZlw3eyTXzhqhfxMiIp2QkZZMli9ZKyxERHqAc46C4iCzx+TEXf8K0JYQOcz6sn3sb2hh3rhBXpciElG8DivMbL6ZbTazQjO79wjPjzSzN8xsnZm9aWZ5HZ77npm9H/5zVYfj55rZqvDxJ8wsKXw808xeNrO1ZrbBzG7um3cpIrEikK3RpiIiPaG0up6ymvq4G2faToGFfMg74f4VZ8bh/iiRSGVmicAjwCeAicA1ZjbxsNN+ADzpnJsMPAB8N3ztJcA0YAowC/iamQ0wswTgCeBq59wkYAdwY/heXwA2OudOB84GfmhmKb34FkUkxowIjzYVEZHuief+FaDAQg7z9tYKJg4bwMD+qV6XIiL/NBModM4VO+eagEXA5YedMxH4e/jjpR2enwi85Zxrcc4dBNYB84EcoMk5tyV83t+AK8MfOyDDQstK+gNVgDqOikin5fnTKauu14QlEZFuyi8OMrB/CuMG9/e6FE8osJBD6ppaWLWjhnkaZyoSaXKBkg6PS8PHOloLLAx/vIBQ4JATPj7fzHxmNhA4BwgAlUCSmU0PX/Op8HGAXwATgHJgPfBF51xbz74lEYllgWwfTa1t7Klt8LoUEZGo5ZwjvyjIrDE5nm9P9ooCCznkH9uqaGptY57GmYpEo68BHzez1cDHgTKg1Tn3GrAEeBd4BsgPH3fA1cCPzewfQC3QGr7XRcAaYDihrSS/MLMBR3pRM7vNzFaa2cqKioree3ciElUC/tBo051B9bEQEemq7cE6du9viNv+FaDAQjp4p7CSlMQEZozye12KiHxYGf9c/QCQFz52iHOu3Dm30Dk3Ffhm+FhN+O+HnHNTnHMXAAZsCR/Pd86d5ZybCbzVfhy4GXjehRQC24DxRyrMOfeoc266c276oEFq1isiIYHs8GhT9bEQEemyguJw/woFFiLw9tZKzhiZTXpKoteliMiHrQDGmdnocPPLq4GXOp5gZgPDjTQB/h14LHw8Mbw1BDObDEwGXgs/Hhz+OxX4OvA/4et3AueFnxsCnAIU99q7E5GYk5udjhmaFCIi0g35RUEGZaQydlA/r0vxjAILAaCitpEPdteqf4VIBHLOtQB3Aq8Cm4BnnXMbzOwBM7ssfNrZwGYz2wIMAR4KH08G3jazjcCjwHXh+wHcY2abCDXifNk5196080HgTDNbD7wBfN05V9m771JEYklqUiJDMtIoqVZgISLSFc458ouDzInj/hUASV4XIJHh3aLQzyLqXyESmZxzSwj1ouh47P4OHz8HPHeE6xoITQo50j3vAe45wvFy4MJuliwicS7gT6e0SltCRES6oqjiIBW1jXE7zrSdVlgIAMu2VpKZnsyk3EyvSxEREZEYEPD7tMJCRKSL8sP9K+K54SYosBBCy42WFVZy5tgcEhPid7mRiIiI9JxAto/d+xtobGk9/skiIvIhBcVBhg5IY1SOz+tSPKXAQiiuPMiufQ3qXyEiIiI9JuD34RyU1zR4XYqISFRxzrG8OMicsfHdvwIUWAihcaag/hUiIiLSc9pHm+7UpBARkROyde8BKg80xfU403YKLIS3t1YS8KczMid+x+WIiIhIzwr4Q8uYNdpUROTE5BeF+lfEe8NNUGAR91pa2ygoCmp1hYiIiPSoIQPSSE40Nd4UETlBBcVBcrPSyQuvVItnCizi3NrSfdQ2tjDvpEFelyIiIiIxJDHByM3SaFMRkRNR29DMO4WVzB6j/hWgwCLuvVNYiZmWG4mIiEjP02hTEZET84ulhexvaOHGM0d6XUpEUGAR55ZtreTU4QPw90vxuhQRERGJMQG/Tz0sREQ6aUfwIL9btp0rp+UxOS/L63IiggKLOHawsYVVO6u1HURERER6RSDbR3VdMwcaW7wuRUQk4j30yiaSEo1/m3+K16VEDAUWcWz5tiAtbU4NN0VERKRXBPyhhnFaZSEicmzvFlby2sY9fOGckxgyIM3rciKGAos4tmxrkNSkBKaPyva6FBEREYlBgWyNNhUROZ6W1jYeWLyRvOx0bpk32utyIooCizi2rLCCGaP8pCUnel2KiIiIxKCAPxRY7FRgISJyVItWlPDB7lq+cfEE/Wx2GAUWcWrv/ga27DnAvHHaDiIiIiK9I9uXTL+UREqrNdpURORI9tU386O/bWHmaD+fmDTU63IijgKLOPVOUSWA+leIiIhIrzEzTQoRETmGn7+xleq6Ju7/5ETMzOtyIo4Cizj19tZKsn3JTBw2wOtSREREJIblZfsoqVZgISJyuOKKAzz+7nY+c0aASbmZXpcTkRRYxCHnHO8UVnLmSQNJSFCKJyIiIr1nhN9HSVU9zjmvSxERiSgPvbKJtOREvnaRxpgeTbcCCzObb2abzazQzO49wvMjzGypma02s3VmdnGH5yabWb6ZbTCz9WaWFj7+Zviea8J/BnenRvmowr0H2LO/kbO0HURERER6WcCfTn1zK8GDTV6XIiISMd7aUsEbH+zlznNPYlBGqtflRKykrl5oZonAI8AFQCmwwsxecs5t7HDafcCzzrlfmtlEYAkwysySgN8D1zvn1ppZDtDc4bprnXMru1qbHNuywlD/irkKLERERKSXdRxtOrC/vikXEWlpbePBxRsZmePj5rmjvC4nonVnhcVMoNA5V+ycawIWAZcfdo4D2pskZALl4Y8vBNY559YCOOeCzrnWbtQiJ2DZ1kpG5vgOjRoTERER6S3t32+UaFKIiAgATy/fyda9B/jGxRNITdIY02PpTmCRC5R0eFwaPtbRt4HrzKyU0OqKu8LHTwacmb1qZqvM7N8Ou+534e0g3zK1Su1Rza1tFBQHNR1ERERE+kRedjqAJoWIiAA1dU38+PUtnDk2hwsnDvG6nIjX2003rwEed87lARcDT5lZAqGtKPOAa8N/LzCz88LXXOucOw04K/zn+iPd2MxuM7OVZrayoqKil99G7FhTUsPBplYFFiIiItIn+qUmkdMvRYGFiAjwk9e3sr++mW9pjGmndCewKAMCHR7nhY91dAvwLIBzLh9IAwYSWo3xlnOu0jlXR2j1xbTweWXhv2uBPxDaevIRzrlHnXPTnXPTBw0a1I23EV+Wba3EDM4cq8BCRERE+kaeX6NNRUQK99byVMEOrp45ggnDBhz/AulWYLECGGdmo80sBbgaeOmwc3YC5wGY2QRCgUUF8Cpwmpn5wg04Pw5sNLMkMxsYPj8Z+CTwfjdqlMMsK6xkcm4mmb5kr0sRERGROBHITqekSj0sRCS+Pbh4E76URL56wclelxI1uhxYOOdagDsJhQ+bCE0D2WBmD5jZZeHTvgrcamZrgWeAm1xINfAjQqHHGmCVc+4VIBV41czWhY+XAb/uao3yYbUNzawpqWHeOK2uEBERkb4zwu+jvKae1jbndSkiIp5Y+sFe/m9LBV88bxw5mpjUaV0eawrgnFtCaDtHx2P3d/h4IzD3KNf+ntBo047HDgJndKcmObrlxVW0tjmNMxUREZE+FfD7aGlz7NpXT162ppSJSHxpbm3jwVc2MmZgP26YM8rrcqJKbzfdlAiyrLCStOQEzhiZ7XUpIiIiEkcC4ZAiHreFmNl8M9tsZoVmdu8Rnv9YeGpei5l96rDnbjSzreE/N/Zd1SLSk57K30FxxUG+eckEUpL0I/iJ0H+tOLKssJKZo3M061dERET6VMAfHm0aZ403zSwReAT4BDARuMbMJh522k7gJkLN5jte6wf+A5hFqAn9f5iZfuskEmWqDjbxk9e3cNa4gZw7frDX5UQdBRZxYte+egr3HuAsbQcRERGRPjY8K50EIx5Hm84ECp1zxc65JmARcHnHE5xz251z64C2w669CPibc64q3P/tb8D8vihaRHrOj/+2hYNNrRpj2kUKLOLEO4VBAPWvEBERkT6XnJjAsMz0eAwscoGSDo9Lw8d6+1oRiQCbd9fy9PIdXDtrBCcPyfC6nKikwCJOLNtaQU6/FMYP1T8UERER6Xt52emUVMdfD4veZma3mdlKM1tZUVHhdTkiEuac48HFG8lIS+bL52uMaVcpsIgDzjmWFQaZe9JAEhK0DElERET6XsDvi8cVFmVAoMPjvPCxHrvWOfeoc266c276oEGDulyoiPSs1zftZVlhJV86fxzZ/VK8LidqKbCIA5v31FJ5oJF52g4iIiIiHhnh97G3tpGG5lavS+lLK4BxZjbazFKAq4GXOnntq8CFZpYdbrZ5YfiYiES4xpZWHnplIycN7s91s0d6XU5UU2ARB5ZtrQRg7jgFFiIiIuKN9kkhpXG0LcQ51wLcSSho2AQ865zbYGYPmNllAGY2w8xKgU8DvzKzDeFrq4AHCYUeK4AHwsdEJMI9+e4OtgfruO+SCSQn6kfu7kjyugDpfcsKKxkzsB+5WelelyIiIiJxKpDtA0KjTU8a3N/javqOc24JsOSwY/d3+HgFoe0eR7r2MeCxXi1QRHpU5YFGfvbGVs4+ZRBnn6Ixpt2luCfGNbW0sby4inlaXSEiIiIeCvhDgUVp/PWxEJE48sPXtlDf3Mp9l0z0upSYoMAixq3eWU19c6vGmYqIiIinBvVPJSUpgZ0KLEQkRm0s388fV+zk+jkj42olWW9SYBHjlhVWkmAwZ2yO16WIiIhIHEtIsNBo06r46WEhIvHDOccDizeQmZ7Ml87TGNOeosAixi0rrOT0QBYD0pK9LkVERETiXCDbR0m1VliISOx5dcNuCoqr+MoFJ5Pp089ePUWBRQzbV9/M2pIaztJ2EBEREYkAAX86JdoSIiIxprGllYeWbOKUIRlcM3OE1+XEFAUWMaygOEibQ/0rREREJCKM8PvY39DCvvpmr0sREekxjy3bTklV/f9n787joyzP/Y9/LpJAEiAbm0ASiQiyL4JQEfdq0Vqt1rrVtlhba621tdYe++s5todzerra1p5aPe77blVacatLZVdQQNkDCgQQSNghgSzX7495gmPKkpBknmcm3/frlRczzzbfmQx3nrnmfu6bfz9nIOmaxrRF6dVMYdOWl5PdPo2RxflhRxERERH5ZGpT9bIQkRSxcUcVf359OZ8d2J0T+3ULO07KUcEihU0vLWdsSQHt0/VrFhERkfDtm9pU41iISIr43ctL2Vtbx081jWmr0CfZFLV2ayUry3fpchARERGJjE96WGimEBFJfh+s3cZTc8uYOK4PJV07hh0nJalgkaKmLy8HULckERERiYzc7Aw6Z6azWpeEiEiSc3f+828LKchuz/dO7xd2nJSlgkWKmlpaTrfOHejfo1PYUURERET20dSmIpIKXnh/Pe98tIUbzjyGnExNY9paVLBIQXV1zozScsYf3RUzCzuOiIiIyD6a2lREkl1VdS2/nLKEgT1zuPi4orDjpDQVLFLQko93ULFrr8avEBERkcgpys+mbEsl7h52FBGRw3L31JWs3VrJf5wzkLR2+oK4NalgkYKmlW4CYLwKFiIiIhIxxV2y2VNTx6Yde8KOIiLSZBu2V/GXN1fwucE9GNdXn7damwoWKWhaaQVHd+/EEbmZYUcRERER+ZR9M4VoHAsRSUK/fmkJNbXOT8/WNKaJoIJFiqmqruXtDyvUu0JEREQiqaggC9DUpiKSfOat2cpf313LN8aXUNwlO+w4bYIKFinm3dVbqKquU8FCREREIqmwvoeFBt4UkSTi7kz620K6durAtacdHXacNkMFixQzbXk5ae2MsUcVhB1FRERE5F9kZqTRrXMHVqtgISJJZPL8dby7eis//twxdOqQHnacNkMFixQzvbSckUV5dNZcwCIiIhJRRflZGsNCRJJG5d5afvXiEgb3yuHCUYVhx2lTVLBIIVt372XB2m2azlREREQiraggW2NYiEjS+L+3VrB+WxU/+8Jg2mka04RSwSKFzFxRgTuc2E8FCxEREYmuovxs1m+rpLq2LuwoIiIHtW5rJXf8cwWfH9qTMSW67D7RVLBIIVNLy+nUIZ3hRXlhRxERERE5oOKCbOoc1m+tCjuKiMhB/fqlJdQ53HTWgLCjtEkqWKSQ6aXlfOaoAjLS9GsVERGR6Cqsn9pU41iISITNXbWF5+et46oTj6KoQNOYhkGfbFPEms27WVWxW+NXiIiISOQVaWpTEYm4urrYNKbdO3fgO6f0DTtOm6WCRYqYVloOaPwKERERib6euZmktTP1sBCRyHpu3lrml23j3yYMoKOmMQ2NChYpYlppOT1yOtC3W6ewo4iIiIgcVHpaO3rlZbJaM4WISATt2lPDr19awvDCXM4f2TvsOG2aChYpoK7OmVFazviju2GmaXZEUpGZTTCzpWZWamY37Wf9kWb2mpktMLM3zawwbt2vzeyD4OfiuOWnmdm7wfIHzCw9WH6jmc0Lfj4ws1oz07DYItKiivKzdUmIiETSHf9cwYbte7j5C4M0jWnImlWwaMQJdLGZvWFm7wUn0WfHrRtmZjPNbKGZvW9mmcHyUcH9UjP7k+kT+CEtWr+dLburGd+vS9hRRKQVmFkacBtwFjAIuNTMBjXY7HfAg+4+DJgE/DLY9/PAscAIYCzwIzPLMbN2wAPAJe4+BFgFfB3A3X/r7iPcfQTwE+Cf7r65tZ+niLQtRfnZlOmSEBGJmLItu7nzrZWcO7wXo47U9zVhO+yCRSNPoP8deNLdRwKXAH8J9k0HHgaudvfBwClAdbDP7cC3gH7Bz4TDzdhWTF0eG7/ihL4av0IkRY0Bzk/KsQAAIABJREFUSt19pbvvBR4HzmuwzSDg9eD2G3HrBwFvuXuNu+8CFhBrV7sAe919WbDdq8CX9vPYlwKPtdgzEREJFBVkUb5zL7v31oQdRURkn1++uAQzTWMaFc3pYdGYE2gHcoLbucC64PaZwAJ3nw/g7hXuXmtmPYEcd5/l7g48CHyxGRnbhOml5RzTozPdczLDjiIiraM3sCbuflmwLN584ILg9vlAZzPrEiyfYGbZZtYVOBUoAsqBdDMbHexzYbB8HzPLJlbceKYFn4uICMC+KQLLtmgcCxGJhrc/3MwLC9bz7ZP60isvK+w4QvMKFo05gf45cLmZlQFTgO8Fy/sDbmYvB9dP/zjumGWHOKbEqaqu5e2PNms6UxH5EXCymb0HnAysBWrd/RVi7e8MYj0lZgbLnVjPtz+Y2dvADqC2wTG/AEw/2OUgZnaVmc0xszmbNm1q8SclIqmrvmChcSxEJArq6pxJf19Iz9xMrj5Z05hGRWsPunkpcL+7FwJnAw8F102nA+OBrwT/nm9mpzflwDpJjpnz0Rb21tRpOlOR1LaWT/d+KAyW7ePu69z9guASvJ8Gy7YG//4iGJPiDMCAZcHyme5+oruPAd6qXx7nEg5xOYi73+nuo919dLdu3Q7/GYpIm1OUr4KFiETH0++W8cHa7dx01gCy2qeFHUcCzSlYHPIEGrgSeBJiJ8ZAJtCVWM+Jt9y93N13E/v279hg/8K4/fd3TILj6SQZmFq6iYw0Y0yJBoQRSWHvAP3MrMTM2hMrJEyO38DMugYFYYgNlHlvsDwtuDQEMxsGDANeCe53D/7tAPwbcEfc8XKJ9dR4vhWfl4i0YV07tScrI401uiREREK2c08Nv315KSOL8zh3eK+w40ic5hQsDnkCDawGTgcws4HEChabgJeBocE11enETooXuft6YLuZfSaYHeRr6GT5oKaXljOyOJ+OHdLDjiIircTda4BribWdi4kNZrzQzCaZ2bnBZqcAS81sGdAD+EWwPAOYamaLgDuBy4PjAdxoZouJDcT5N3evH7QTYuNgvBIM1Cki0uLMjML8LFarh4WIhOy2N0rZtGMPP/vCYDRJZbQc9qdcd68xs/oT6DTg3voTaGCOu08GbgDuMrPriQ3AOTG4bnqLmf2eWNHDgSnu/kJw6GuA+4Es4MXgR/Zj8669LFy3nes/2z/sKCLSytx9CrHeaPHLbo67/TTw9H72qyI2U8j+jnkjcOMB1t1PrC0WEWk1RQXZuiREREK1umI390z9kAtG9mZEUV7YcaSBZn0t34gT6EXACQfY92FiU5s2XD4HGNKcXG3FjBXluMN4jV8hIiIiSagoP4u3P9yMu+tbTREJxf9MWUxaO+PHEzSNaRS19qCb0oqml5bTOTOdYb1zw44iIiIi0mRFBdns3FPD1t3VYUcRkTZo5ooKXlr4Mdec0pcjcjPDjiP7oYJFknJ3pi4v5/ijupCepl+jiIiIJJ99U5tu0WUhIpJYtXXOpL8vondeFt866aiw48gB6JNuklq9eTdlWyp1OYiIiIgkrU+mNtVMISKSOBt3VPHNB95h8frt/OTsAWRmaBrTqNLUEklq6vJyAE44WgULERERSU5FBVmAeliISOK8vPBjfvLX99m1p4aff2EQnx/aM+xIchAqWCSp6aXl9MrN5KiuHcOOIiIiInJYOmdmkJedoZlCRKTV7dxTw39OXshTc8sY0juHP148gqO7dw47lhyCChZJqLbOmbGigjMH9dCI2iIiIpLUivKzWa2ChYi0onc+2swPn5zH2i2VXHvq0Vx3ej/ap2t0hGSggkUS+mDtNrZVVmv8ChEREUl6RQVZLF6/I+wYIpKC9tbU8cd/LOOOf66gMD+bJ799PKP7FIQdS5pABYskNK1U41eIiIhIaijKz+YfizZSV+e0a6eeoyLSMpZv2MEPnpjHwnXbuXh0Ef/xhUF06qCPv8lGv7EkNG15OQN75tC1U4ewo4iIiIg0S2FBNntr69iwo4qeuVlhxxGRJFdX5zww8yN+9eISOnVI586vjuLMwUeEHUsOkwoWSaZyby1zV23h6+OODDuKiIiISLMVF3wytakKFiLSHOu3VXLjUwuYVlrO6QO686svDaNbZ33Jm8xUsEgyb3+0mb21dYzv1y3sKCIiIiLNVpQfTG26eTdjSnRtuYgcnr/NX8dPn32f6lrnf84fyqVjijRBQQpQwSLJTC8tp31aO8ZosBgRERFJAb3zszCDNVs0U4iINN22ympufv4Dnp+3jhFFefzx4hH06dox7FjSQlSwSDJTl5cz6sh8stqnhR1FREREpNk6pKfRo3MmazZXhh1FRJLMjNJybnhqPht37OGHZ/TnmlP6kp6m6UpTiQoWSaR85x4Wr9/OjZ87JuwoIiIiIi2mqCBLPSxEpNGqqmv53ctLuXvahxzVtSN//c44hhflhR1LWoEKFklkuqYzFRERkRRUlJ/NzJUVYccQkSSwaN12rn9iHks37OCrnzmS/3f2QPU+T2EqWCSR6aXl5GSmM7R3bthRRERERFpMYUE2H89by56aWjqk64OHiPyr2jrn7qkrueWVZeRmZ3DfFcdx6jHdw44lrUwFiyTh7kxbXs64vl1Ja6fRbkVERCR1FOVn4Q7rtlZRosHyRKSBsi27+eGT83n7w81MGHwE/3PBUAo6tg87liSARiRJEh+W72LdtirG99PlICIiIpJaiguygdjUpqnGzCaY2VIzKzWzm/azvoOZPRGsn21mfYLlGWb2gJm9b2aLzewnic4uEjZ355m5ZZz1x6ksWred3315OLdffqyKFW2IelgkiWnB+BXjNX6FiIiIpJii+oJFig28aWZpwG3AGUAZ8I6ZTXb3RXGbXQlscfejzewS4NfAxcCXgQ7uPtTMsoFFZvaYu3+U2GchEo4tu/by/559nxc/+JgxfQq45aLh+9oKaTtUsEgS05aXU5ifxZFd9J9UREREUkuPnEwy0iwVpzYdA5S6+0oAM3scOA+IL1icB/w8uP008GczM8CBjmaWDmQBe4HtCcotEqo3l27kx08vYMvuvdx01gC+deJRuiy+jVLBIgnU1NYxc2UFnx/ak9jfLxEREZHUkdbO6J2XklOb9gbWxN0vA8YeaBt3rzGzbUAXYsWL84D1QDZwvbtvbvXEIiGq3FvLL19czIMzV9G/Ryfuu+I4BvfShANtmQoWSWDB2m3sqKrR+BUiIiKSsooKsilLwTEsmmEMUAv0AvKBqWb2j/reGvXM7CrgKoDi4uKEhxRpKQvKtvKDJ+axctMurhxfwo2fO4bMDM0a1NZp0M0kMH15OWYwrq8KFiIiIpKaCvOzWZ16BYu1QFHc/cJg2X63CS7/yAUqgMuAl9y92t03AtOB0Q0fwN3vdPfR7j66W7durfAURFpXTW0d//vaci74ywwq99byyDfH8h/nDFKxQgAVLJLC1NJyBvfK0Wi4IiIikrKKCrLYsruanXtqwo7Skt4B+plZiZm1By4BJjfYZjLw9eD2hcDr7u7AauA0ADPrCHwGWJKQ1CIJsqpiFxf930xueXUZZw/tyUvfP4kTNMmAxNElIRG3a08N763ewjfGl4QdRURERKTVFOV/MrXpwJ45IadpGcGYFNcCLwNpwL3uvtDMJgFz3H0ycA/wkJmVApuJFTUgNrvIfWa2EDDgPndfkPhnIdLy3J3H31nDf/19EentjFsvGcF5I3qHHUsiSAWLiHv7w81U17qmMxUREZGUVlyQegULAHefAkxpsOzmuNtVxKYwbbjfzv0tF0l25Tv3cNMz7/OPxRs44egu/O7Lw+mZmxV2LIkoFSwiblppOe3T23Fcn4Kwo4iIiIi0mqL6gsWWlJvaVEQCry7awE3PLGDHnhpuPmcQE8f1oZ2mK5WDUMEi4qYtL+e4PvkadEZERERSWn52Bh3bp7Em9QbeFGnzdu2p4b/+vojH31nDoJ45PHbJCPr36Bx2LEkCKlhE2MYdVSzdsIMvjhwQdhQRERGRVmVmsalNt6hgIZJKZq6o4Ka/LmD15t1855S+XP/Z/rRP19wP0jgqWETY9NJyAI1fISIiIm1CYX62eliIpIj3y7bx21eW8tayTRTmZ/HEVcczpkSXuUvTqGARYdOWV5CXncHgXqkz8JSIiIjIgRQVZDG9tBx3x0zXtYsko+UbdvD7V5fx4gcfk5edwf87ewBf/UwfstrrEndpOhUsIsrdmV5azgl9u2ogGhEREWkTivKzqayupWLXXrp26hB2HBFpgjWbd/PHfyzn2ffKyMpI4/un9+PKE0vIycwIO5okMRUsImrFpp18vL2K8f10OYiIiIi0DUVxU5uqYCGSHDZur+LPb5Ty2NuraWfGleNL+M4pR1PQsX3Y0SQFqGARUdOWa/wKERERaVuK46Y2HVmcH3IaETmYLbv2csdbK3hgxkfU1DoXH1fE907rxxG5mWFHkxSigkVETSst58gu2fu+aRARERFJdYX5WQAaeFMkwnbuqeHeaR9y11sr2bm3hi+O6M0PPtuPI7t0DDuapCAVLCKouraOWSs3c+6IXmFHEREREUmYjh3S6dKxvaY2FYmgqupaHp61ir+8uYLNu/Zy5qAe3HDmMRxzROewo0kKa1bBwswmALcCacDd7v6rBuuLgQeAvGCbm9x9ipn1ARYDS4NNZ7n71cE+bwI9gcpg3ZnuvrE5OZPN/DVb2bmnRpeDiIiISJtTWJDNms2Vh95QRBKiuraOp+eW8afXlrN+WxXjj+7Kjz53DCOK8sKOJm3AYRcszCwNuA04AygD3jGzye6+KG6zfweedPfbzWwQMAXoE6xb4e4jDnD4r7j7nMPNluymlZZjBuP6dgk7ioiIiEhCFeVn8f7abWHHEGnz6uqcvy1Yx+9fXcaqit2MLM7jlouGM66vvlSVxGlOD4sxQKm7rwQws8eB84D4goUDOcHtXGBdMx6vzZi2vJyhvXPJy9bIuiIiItK2FBVk89IHH1Nb56RpaneRhHN3/rF4I7e8spQlH+9gwBGduefrozltQHfM9H9SEqs5BYvewJq4+2XA2Abb/Bx4xcy+B3QEPhu3rsTM3gO2A//u7lPj1t1nZrXAM8B/u7s3I2dS2VFVzXtrtvLtk44KO4qIiIhIwhXlZ1NT56zfVklhvgYfF0mkGaXl/Oblpcxbs5WSrh3506UjOWdoT9qpeCghae1BNy8F7nf3W8zseOAhMxsCrAeK3b3CzEYBz5nZYHffTuxykLVm1plYweKrwIMND2xmVwFXARQXF7fy00ic2Ss3U1vnGr9CRERE2qSigvqZQlSwEEmU91Zv4XevLGV6aQU9czP51QVDuXBUIelp7cKOJm1ccwoWa4GiuPuFwbJ4VwITANx9ppllAl2DQTT3BMvnmtkKoD8wx93XBst3mNmjxC49+ZeChbvfCdwJMHr06JTpgTGttJzMjHYce6TmHhcREZG2pziY0n3Nlt0cj8bzEmlNSz7ezi2vLOPVRRvo0rE9N58ziMvGFpOZkRZ2NBGgeQWLd4B+ZlZCrFBxCXBZg21WA6cD95vZQCAT2GRm3YDN7l5rZkcB/YCVZpYO5Ll7uZllAOcA/2hGxqTy5tKNPPr2ak7p302NhIiIiLRJvfKyaGdQtllTm4q0lo/Kd/GHfyxj8vx1dOqQzo/O7M8VJ5TQsUNrd8AXaZrDfke6e42ZXQu8TGzK0nvdfaGZTSLWU2IycANwl5ldT2wAzonu7mZ2EjDJzKqBOuBqd99sZh2Bl4NiRRqxYsVdzXqGSeKNpRv59oNz6dejE7+5cFjYcURERERCkZHWjp65WazZoqlNRVra+m2V/Om1Up6cs4aMNOPqk/vy7ZOO0mD/ElnNKqG5+xRiU5XGL7s57vYi4IT97PcMsfEpGi7fBYxqTqZk9MaSjXz7oVix4pFvjlWDISIiIm1aYX4Wa9TDQqTFVOzcw+1vruDBWatwdy4fW8x3Tzua7p0zw44mclDq8xOy+mJF/yM68fCVKlaIiIiIFBVkM3X5prBjiCS97VXV3D31Q+6ZupLK6lq+dGwh153ej6ICDWgryUEFixC9vmQDVz/0rooVIiIiInGK8rPZsH0PVdW1GtdL5DBU7q3lgZkfccc/V7B1dzWfH9qT68/oz9HdO4UdTaRJVLAIyWuLN/Cdh1WsEBEREWmofmrTsi2V+oAl0gR7a+p44p3V/On1Ujbt2MMpx3TjR2cew5DeuWFHEzksKliEoL5YccwRnXn4yrHkZmeEHUlEREQkMuKnNlXBQuTQqqpr+dv8ddz62nLKtlQypk8Bf/nKsRzXpyDsaCLNooJFgr22eANXPzyXgT1zeOgbKlaIiIiINFR/fb2mNhU5uI/Kd/Ho26t5as4atuyuZkjvHH5x/lBO6tcVMws7nkizqWCRQP9YtIHvPKJihYiIiMjBdOvUgfbp7TS1qch+VNfW8driDTwyezVTl5eT1s44c1APLhtbzAl9u9KunQoVkjpUsEiQVxdt4Jr6YsWVY8nNUrFCREREZH/atTNNbSrSwLqtlTz+9moef2cNG3fsoVduJjec0Z+LjiuiR46mJ5XUpIJFAtQXKwb1zOFBFStEREREDqkoP5s1W1SwkLatts55a/kmHpm1iteXbMSBU4/pzlfGFnPKMd1JU28KSXEqWLSyVxZ+zHcffZdBvXJ58BtjVKwQERERaYSigizmrdkadgyRUGzasYcn56zhsbdXU7alkq6dOvCdU/pyyXHF+8Z4EWkLVLBoRSpWiIiIiByeovxstlVWs62yWudQ0ia4OzNXVvDI7NW8/MHH1NQ54/p24SdnDeSMQT1on94u7IgiCaeCRSt5ZeHHXPPIuwzunctDV44hJ1N/aEVEREQaq/5b5DWbd5PbOzfkNCKtZ+vuvTw9t4xH317Nyk27yM3KYOK4Plw6tpi+3TStr7RtKli0gpcXfsx3H3mXIb1zeVDFChEREZEmK66f2nTLboaoYCEpxt15b81WHp61ihcWrGdPTR3HFudxy5eH8/lhPcnMSAs7okgkqGDRwl764GOufVTFChEREZHmKMqv72GhqU0ldezcU8Nz763lkdmrWbx+Ox3bp/Hl0YVcNuZIBvXKCTueSOSoYNGC6osVQwtzeeAbKlaIiIiIHK7c7Aw6Z6ZrphBJCQvXbeOR2at5/r217Npby6CeOfzP+UM5d0QvOnXQRzKRA9H/jhby0gfrufbR9xhaGBtgs7OKFSIiIiLNUpSfzZrNKlhIcqqqruXvC9bz8KxVzFuzlQ7p7fjC8F58ZWwxI4ryMNOUpCKHooJFC3jx/fV877H3GBb0rFCxQkRamplNAG4F0oC73f1XDdYfCdwLdAM2A5e7e1mw7tfA54NN/8vdnwiWnwb8DmgPzAWudPeaYN0pwB+BDKDc3U9u1ScoIrIfRQVZrNi0K+wYIk1SunEnj85ezdNz17C9qoa+3Tpy8zmD+NKxheRm63OCSFOoYNFML76/nmsfe4/hKlaISCsxszTgNuAMoAx4x8wmu/uiuM1+Bzzo7g8EhYhfAl81s88DxwIjgA7Am2b2IrATeAA43d2Xmdkk4OvAPWaWB/wFmODuq82se4KeqojIpxTlZ/Pm0k24u76NlkjbW1PHyws/5pHZq5i1cjMZacaEIT35ythixpYU6P0rcphUsGiG+mLFiKI87r/iOBUrRKS1jAFK3X0lgJk9DpwHxBcsBgE/DG6/ATwXt/ytoOdEjZktACYE2+x192XBdq8CPwHuAS4D/uruqwHcfWNrPTERkYMpKshmT00dm3bsoXtOZthxRP7Fms27efTt1Tw1Zw3lO/dSmJ/Fjyccw0Wji+jaqUPY8USSngoWh2lKcBnIiKI8HvjGGA2WIyKtqTewJu5+GTC2wTbzgQuIXTZyPtDZzLoEy39mZrcA2cCpxAod5UC6mY129znAhUBRcKz+QIaZvQl0Bm519wdb44mJiBxMUUEWAGu27FbBQiKjpraON5Zu4uFZq3hr+SYMOH1gD74ytpiT+nWjXTv1phBpKfqUfRheWLCe6x5XsUJEIuVHwJ/NbCLwFrAWqHX3V8zsOGAGsAmYGSx3M7sE+IOZdQBeAWqDY6UDo4DTgSxgppnNiuuNsY+ZXQVcBVBcXNyaz09E2qDigk+mNh11ZMhhpE2pq3M27dzD2q2VrNtayfqtVftuLyjbxsfbq+iR04HrTuvHxccV0SsvK+zIIilJn7SbqL5YMbIoj/tVrBCRxFjLJ70fAAqDZfu4+zpiPSwws07Al9x9a7DuF8AvgnWPAsuC5TOBE4PlZxLrWQGxHhwV7r4L2GVmbwHD6/dr8Lh3AncCjB492lvguYqI7FOYX1+w0Ewh0rJ2VFWzbmsV67ZWsnZrJeu3VbIuriixYXsV1bWf/rPWsX0avfOzGFaYy8+PHcxnB3YnPa1dSM9ApG3Qp+0m+PuCdXz/8XkcW5zHfVeoWCEiCfMO0M/MSogVKi4hNs7EPmbWFdjs7nXExqK4N1ieBuS5e4WZDQOGEetNgZl1d/eNQQ+LfyMoagDPE+utkU5sBpGxwB9a+TmKiPyLzIw0unXuwJotKlhI41XX1vHxtlgxYl1QiFgXFCLqb+/YU/OpfdLaGUfkZNI7L4vRR+bTMy+LXnlZ9M7LpGdu7HZOZroGzxRJMH3ibqS/zV/HD55QsUJEEs/da8zsWuBlYtOa3uvuC4OZPea4+2TgFOCXZubELgn5brB7BjA1OMHaTmy60/qztBvN7BygHXC7u78ePN5iM3sJWADUEZtG9YNEPFcRkYaK8rNYs7ky7BgSEe7Olt3V+3pGrNtayfptn/SMWLe1ko079uAN+vzlZ2fQKy+L4i7ZHN+3Cz1zM+m1ryiRRbfOHUjT2BMikaNP3Y0QX6y4/4oxdFSxQkQSzN2nAFMaLLs57vbTwNP72a+K2Ewh+zvmjcCNB1j3W+C3zYgsItIiigqymbtqS9gxJIHq6pz3125j6cc7gh4Scb0ktlVSVV33qe07pLejd14WPfMyOalft31FiJ55QVEiN4us9mkhPRsRaQ598j6E+mLFqOJ87rviOBUrRERERBKoKD+bvy9YT3VtHRkaLyBlbausZuryTby+ZCP/XLqJil17ATCD7p070Csvi4E9czh9YPd9PSN65WbRKy+Tgo7tdamGSIrSp++DmDx/HT94/D1G9yngvokqVoiIiIgkWlFBFrV1zvqtVRR3yQ47jrQQd2fphh28sWQTbyzZyNzVW6itc/KyMzi5fzdOG9CdkUX5HJGbSft0FapE2ip9Aj+A5+et5fon5qlYISIiIhKiovqZQrbsVsEiye3eW8P00greWLqRN5dsZN22KgAG98rhOyf35dQB3RhRlK+xJERkH30K34/4YsX9VxxHdnu9TCIih6O6upqysjKqqqrCjtJmZGZmUlhYSEZGRthRRFpEUYGmNk1mH5Xv4vUlG3lj6UZmr9zM3to6OrZP48R+3fj+Z7txyjHd6ZGTGXZMEYkofRJvoL5YcVyfAu5TsUJEpFnKysro3Lkzffr00fXFCeDuVFRUUFZWRklJSdhxRFpEz9xM0tqZpjZNEntqann7w82xSz2WbuTD8l0A9O3Wka8dfySnDejO6D4FusxDRBpFn8bjPPfeWn745DzGlBRw70QVK0REmquqqkrFigQyM7p06cKmTZvCjiLSYtLT2tErL1NTm0bYuq2VvLk0VqCYXlrO7r21dEhvx/F9uzBxXB9OPaa7LucRkcOiT+QBFStERFqHihWJpddbUlFRfrZ6WERITW0d767eyhtLN/LGko0s+XgHAL3zsvjSsYWcOqAbxx/VVVOJikiz6VM58Ox7Zdzw5HzGlnThnomjVawQERERiZCi/GxeW7Ix7BhtWsXOPfxzWWza0beWbWJ7VQ3p7YzRffL5yVkDOG1Ad47u3klFUxFpUW3+k3l8seLeicepEiwikmLS0tIYOnQoNTU1lJSU8NBDD5GXl9cqj3X22Wfz6KOPNvr4zz33HP3792fQoEFNfqx58+axbt06zj777CbvK5JsigqyKN+5h8q9tTpXS5C6OueDddt4Y8kmXl+6kQVlW3GHrp068LnBR3DqgO6M79eVnEwN8CsiradNFyyefa+MHz45n+OP6sI9X1exQkQkFWVlZTFv3jwAvv71r3Pbbbfx05/+tFUea8qUKU3a/rnnnuOcc8457ILFnDlzVLCQNqF+ppCyLbvp16NzyGlS1/aqaqYuK49NO7p0E+U792AGwwvzuP6z/Tn1mO4M7pVDO007KiIJ0maH5/3ruypWiIi0Nccffzxr164FYMWKFUyYMIFRo0Zx4oknsmTJEgA2bNjA+eefz/Dhwxk+fDgzZswA4Pe//z1DhgxhyJAh/PGPf9zv8fv06UN5eTkfffQRAwcO5Fvf+haDBw/mzDPPpLLy0wMGzpgxg8mTJ3PjjTcyYsQIVqxYccBMTz31FEOGDGH48OGcdNJJ7N27l5tvvpknnniCESNG8MQTT7TWSyYSCYX5sYLF6iSc2tTMJpjZUjMrNbOb9rO+g5k9EayfbWZ94tYNM7OZZrbQzN43sxad/9PdWbZhB3f8cwUX/99Mjp30Kt999F1eXbSB4/t24Q8XD2fOTz/Lc989getO78fQwlwVK0QkodpkD4sP1m7jhqfmM65vF+7+mooVIiKJ8J9/W8iiddtb9JiDeuXwsy8MbtS2tbW1vPbaa1x55ZUAXHXVVdxxxx3069eP2bNnc8011/D6669z3XXXcfLJJ/Pss89SW1vLzp07mTt3Lvfddx+zZ8/G3Rk7diwnn3wyI0eOPODjLV++nMcee4y77rqLiy66iGeeeYbLL7983/px48Zx7rnncs4553DhhRcCcPrpp+8306RJk3j55Zfp3bs3W7dupX379kyaNIk5c+bw5z//uRmvoEhyKA56WKxJsoKFmaXDOOC6AAAgAElEQVQBtwFnAGXAO2Y22d0XxW12JbDF3Y82s0uAXwMXm1k68DDwVXefb2ZdgOqWzLfk4x2cdetUAAb2zOGqk47i1AHdGVmUR3pam/1eU0QipFkFCzObANwKpAF3u/uvGqwvBh4A8oJtbnL3KUHleDGwNNh0lrtfHewzCrgfyAKmAN93d29OzoYG98rh118axheG9VKxQkQkxVVWVjJixAjWrl3LwIEDOeOMM9i5cyczZszgy1/+8r7t9uzZA8Drr7/Ogw8+CMTGv8jNzWXatGmcf/75dOzYEYALLriAqVOnHrRgUVJSwogRIwAYNWoUH3300UFzHizTCSecwMSJE7nooou44IILmv4iiCS5rp3a84eLh3NscX7YUZpqDFDq7isBzOxx4DwgvmBxHvDz4PbTwJ8tNnLlmcACd58P4O4VLR1uwBGd+c2FwzixX1d65ma19OFFRJrtsAsWjawY/zvwpLvfbmaDiBUg+gTrVrj7iP0c+nbgW8DsYPsJwIuHm/MA2blodFFLHlJERA6hsT0hWlr9GBa7d+/mc5/7HLfddhsTJ04kLy9v39gWraFDhw77bqelpf3LJSEN1dXVHTDTHXfcwezZs3nhhRcYNWoUc+fObfG8IlFmZpw/sjDsGIejN7Am7n4ZMPZA27h7jZltA7oA/QE3s5eBbsDj7v6bhg9gZlcBVwEUFxc3KZzOiUUk6prT12tfxdjd9wL1FeN4DuQEt3OBdQc7oJn1BHLcfVbQq+JB4IvNyCgiIgJAdnY2f/rTn7jlllvIzs6mpKSEp556Cohdxz1//nwgdlnG7bffDsQuI9m2bRsnnngizz33HLt372bXrl08++yznHjiic3O1LlzZ3bs2AFATk7OATOtWLGCsWPHMmnSJLp168aaNWs+ta+IpKR0YDzwleDf883s9IYbufud7j7a3Ud369Yt0RlFRFpVcwoW+6sY926wzc+By82sjFhvie/FrSsxs/fM7J9mVn/W1zs4zsGOKSIiclhGjhzJsGHDeOyxx3jkkUe45557GD58OIMHD+b5558H4NZbb+WNN95g6NChjBo1ikWLFnHssccyceJExowZw9ixY/nmN7950MtBGuuSSy7ht7/9LSNHjmTFihUHzHTjjTcydOhQhgwZwrhx4xg+fDinnnoqixYt0qCbItG2FojvwlAYLNvvNsG4FblABbHz4LfcvdzddxM7lz621ROLiESIHe7wEGZ2ITDB3b8Z3P8qMNbdr43b5ofBY9xiZscD9wBDgAygk7tXBGNWPAcMJtb17Vfu/tlg/xOBf3P3c/bz+PHd30atWrXqsJ6HiEhrMrO57j467ByJMHr0aJ8zZ86nli1evJiBAweGlKjt0usu8okw2+GgALEMOJ1YYeId4DJ3Xxi3zXeBoe5+dTDo5gXufpGZ5QOvEetdsRd4CfiDu79woMfbXzssIhIFh9sWN6eHRWMqxlcCTwK4+0wgE+jq7nvqBw5y97nACmLFirXBcQ52TIL91P1NRERERCLL3WuAa4GXiQ04/6S7LzSzSWZ2brDZPUAXMysFfgjcFOy7Bfg9sSLHPODdgxUrRERSUXNmCXkH6GdmJcSKCpcAlzXYZjWxivL9ZjaQWMFik5l1Aza7e62ZHQX0A1a6+2Yz225mnyE26ObXgP9tRkYRERERkdC4+xRil3PEL7s57nYV8OWG+wXrHiY2tamISJt02AWLYBTj+opxGnBvfcUYmOPuk4EbgLvM7HpiA3BOdHc3s5OASWZWDdQBV7v75uDQ1/DJtKYv0sIzhIiISGK5O7EZ+iQRWngmcBEREZHQNKeHRWMqxouAE/az3zPAMwc45hxi41yIiEiSy8zMpKKigi5duqhokQDuTkVFBZmZmWFHEREREWm2ZhUsREREDqawsJCysjI2bdoUdpQ2IzMzk8LCwkNvKCIiIhJxKliIiEirycjIoKSkJOwYIiIiIpKEmjNLiIiIiIiIiIhIq1DBQkREREREREQiRwULEREREREREYkcS4Xpz8xsE7DqMHbtCpS3cJyWoFxNF9VsytV0Uc12uLmOdPduLR0mig6zLU6133ciRDVbVHNBdLMpV9MdTja1w4cW1d+5cjVdVLMpV9NFNVtCz4lTomBxuMxsjruPDjtHQ8rVdFHNplxNF9VsUc2V7KL6ukY1F0Q3W1RzQXSzKVfTRTlbMovq66pcTRfVbMrVdFHNluhcuiRERERERERERCJHBQsRERERERERiZy2XrC4M+wAB6BcTRfVbMrVdFHNFtVcyS6qr2tUc0F0s0U1F0Q3m3I1XZSzJbOovq7K1XRRzaZcTRfVbAnN1abHsBARERERERGRaGrrPSxEREREREREJIJUsBARERERERGRyEn5goWZTTCzpWZWamY37Wf9D81skZktMLPXzOzIqGSL2+5LZuZmlpDpYxqTy8wuCl63hWb2aBRymVmxmb1hZu8Fv8+zE5TrXjPbaGYfHGC9mdmfgtwLzOzYRORqZLavBJneN7MZZjY8CrnitjvOzGrM7MKo5DKzU8xsXvDe/2cicqWCqLbFUW2HG5tNbfGnHjeSbXFU2+HGZIvbTm1xCohqO9yYbHHb6Zy4EbnUDh9WNp0TNzFXwtphd0/ZHyANWAEcBbQH5gODGmxzKpAd3P4O8ERUsgXbdQbeAmYBo6OQC+gHvAfkB/e7RyTXncB3gtuDgI8S9Ls8CTgW+OAA688GXgQM+AwwOxG5GpltXNzv8axEZTtUrrjf+evAFODCKOQC8oBFQHFwv9Xf+6nwE9W2OKrtcBNeM7XFn37cSLbFUW2HG5Mt7neutjjJf6LaDjc2W7Cdzokbn0vtcNOz6Zy4aa9XwtrhVO9hMQYodfeV7r4XeBw4L34Dd3/D3XcHd2cBhVHJFvgv4NdAVYRyfQu4zd23ALj7xojkciAnuJ0LrEtALtz9LWDzQTY5D3jQY2YBeWbWMwrZ3H1G/e+RBL7/G/GaAXwPeAZIxPsLaFSuy4C/uvvqYPuEZUtyUW2Lo9oONzab2uL4B41oWxzVdjh4bLXFbUdU2+FGZQvonLjxudQONzGbzok/LUrtcKoXLHoDa+LulwXLDuRKYlW/RDhktqCbVJG7v5CgTI3KBfQH+pvZdDObZWYTIpLr58DlZlZGrAL5vQTkaoymvg/Dksj3/0GZWW/gfOD2sLM00B/IN7M3zWyumX0t7EBJIqptcVTbYVBb3BqSoS2OTDsMaotTTFTbYYhuW6x2uOUlQzsMEWqL1Q5DemsdONmY2eXAaODksLMAmFk74PfAxJCj7E86sS5wpxCrPr5lZkPdfWuoqeBS4H53v8XMjgceMrMh7l4Xcq7IM7NTiTXO48POEvgj8G/uXmdmYWeJlw6MAk4HsoCZZjbL3ZeFGyt1RKktjng7DGqLU0oE22FQW9wmRakdhsi3xWqHU0wE2+I23w6nesFiLVAUd78wWPYpZvZZ4KfAye6+JyLZOgNDgDeDN+cRwGQzO9fd54SYC2LV0NnuXg18aGbLiDXW74Sc60pgAoC7zzSzTKArCew+dQCNeh+GxcyGAXcDZ7l7Rdh5AqOBx4P3flfgbDOrcffnwo1FGVDh7ruAXWb2FjAc0EnywUW1LY5qO9yYbKC2uKki2xZHtB0GtcWpJKrtcGOy6Zy46bnUDh+GiLbFbb4dTvVLQt4B+plZiZm1By4BJsdvYGYjgf8Dzk3wNZAHzebu29y9q7v3cfc+xK6lSsRJ8iFfM+A5YpVkzKwrsS5BKyOQazWxKh9mNhDIBDa1cq7GmAx8LRgZ+TPANndfH3YoiI0iDfwV+GqUvply95K49/7TwDURaJgBngfGm1m6mWUDY4HFIWdKBlFti6PaDh8yW0BtcdNEsi2OajsMaotTTFTb4UNm0znxYeVSO9xEUW2L1Q6neA8Ld68xs2uBl4mNrnqvuy80s0nAHHefDPwW6AQ8FVSuVrv7uRHJlnCNzPUycKaZLQJqgRtbuwrZyFw3AHeZ2fXEBhua6B4btrY1mdljxP5YdbXYtYI/AzKC3HcQu3bwbKAU2A1c0dqZmpDtZqAL8Jfg/V/j7q0+VVgjcoXiULncfbGZvQQsAOqAu939oNNQSXTb4qi2w03IprY4TlTb4qi2w43MFgq1xS0vqu1wE7IlnNrhpotqO9zIbDonbkKuRLbDloD3roiIiIiIiIhIk6T6JSEiIiIiIiIikoRUsBARERERERGRyFHBQkREREREREQiRwULEREREREREYkcFSxEREREREREJHJUsJCUZ2ZfNDM3swHB/T5mdtBpdxqzjYiINI7aYRGR8KktlmSkgoW0BZcC04J/RUQk8dQOi4iET22xJB0VLCSlmVknYDxwJXDJftZPNLPnzexNM1tuZj+LW51mZneZ2UIze8XMsoJ9vmVm75jZfDN7xsyyE/NsRESSj9phEZHwqS2WZKWChaS684CX3H0ZUGFmo/azzRjgS8Aw4MtmNjpY3g+4zd0HA1uDbQD+6u7HuftwYDGxhl9ERPZP7bCISPjUFktSUsFCUt2lwOPB7cfZfxe4V929wt0rgb8Sqz4DfOju84Lbc4E+we0hZjbVzN4HvgIMbpXkIiKpQe2wiEj41BZLUkoPO4BIazGzAuA0YKiZOZAGOHBbg039APf3xC2rBbKC2/cDX3T3+WY2ETil5VKLiKQOtcMiIuFTWyzJTD0sJJVdCDzk7ke6ex93LwI+BIoabHeGmRUE1+N9EZh+iON2BtabWQaxarKIiOyf2mERkfCpLZakpYKFpLJLgWcbLHsG+EmDZW8HyxcAz7j7nEMc9z+A2cQa8SUtkFNEJFWpHRYRCZ/aYkla5t6w549I2xF0Xxvt7teGnUVEpC1SOywiEj61xRJV6mEhIiIiIiIiIpGjHhYiIiIiIiIiEjnqYSEiIiIiIiIikaOChYiIiIiIiIhEjgoWIiIiIiIiIhI5KliIiIiIiIiISOSoYCEiIiIiIiIikaOChYiIiIiIiIhEjgoWIiIiIiIiIhI5KliIiIiIiIiISOSoYCEiIiIiIiIikaOChYiIiIiIiIhEjgoWIiIiIiIiIhI5KliIiIiIiIiISOSoYCEiIiIiIiIikaOChYiIiIiIiIhEjgoWIiIiIiIiIhI5KliIiIiIiIiISOSoYCEiIiIiIiIikaOChaQEM5toZtPCziEiIofPzO4ws/9o6W1FREQkOZm7h51BpNHMbDzwG2AwUAssBn4Q3P+mu48PMZ6IiByCmV0CXA8MAXYBHwIPALe7TkpEREQkjnpYSNIwsxzg78D/AgVAb+A/gT1h5hIRkcYxsxuAW4HfAkcAPYCrgROA9iFGExERkQhSwUKSSX8Ad3/M3WvdvdLdX3H3BfUbmNnvzGyLmX1oZmfFLb/CzBab2Q4zW2lm345bd4qZlZnZDWa20czWm9kVcevvN7PbzOyFYP/ZZtY3bv04M3vHzLYF/46LW/emmf2XmU0P9n3FzLq25oskIhJFZpYLTAKucfen3X2Hx7zn7l9x9z1Be/vfwfaNaZv/O6znIyIiIq1PBQtJJsuAWjN7wMzOMrP8BuvHAkuBrsQuG7nHzCxYtxE4B8gBrgD+YGbHxu17BJBLrNfGlcBtDY5/CbHeHPlAKfALADMrAF4A/gR0AX4PvGBmXeL2vSx4zO7EvkH80WG/AiIiyet4oAPwfBP2OVTbLCIiIilMBQtJGu6+HRgPOHAXsMnMJptZj2CTVe5+l7vXErseuiex7sa4+wvuviL4Nu+fwCvAiXGHrwYmuXu1u08BdgLHxK1/1t3fdvca4BFgRLD888Byd3/I3Wvc/TFgCfCFuH3vc/dl7l4JPBm3r4hIW9IVKA/aUQDMbIaZbTWzSjM7aT/7HKptFhERkRSmgoUkFXdf7O4T3b2Q2IBtvYA/Bqs/jttud3CzE0DQI2OWmW02s63A2cROnutVxJ9EA7vr92147AbregGrGsRcRezbwEPtKyLSllQAXc0svX6Bu49z97xg3f7OSQ7VNouIiEgKU8FCkpa7LwHuJ1a4OCAz6wA8A/wO6BGcHE8B7GD7NdI64MgGy4qBtS1wbBGRVDKT2CDJ54UdRERERJKDChaSNMxsQDD4WmFwvwi4FJh1iF3bE7tuehNQEwzGeWYLxZoC9Dezy8ws3cwuBgYRm81EREQC7r6V2FhAfzGzC82ss5m1M7MRQMeQ44mIiEgEqWAhyWQHsYE1Z5vZLmKFig+AGw62k7vvAK4jNn7EFmKDYE5uiUDuXkFsMM8biHVp/jFwjruXt8TxRURSibv/BvghsbZyQ/Dzf8C/ATNCjCYiIiIRZO4edgYRERERERERkU9RDwsRERERERERiRwVLEREREREEsjM7jWzjWb2wQHWm5n9ycxKzWyBmR2b6IwiIlGggoWIiIiISGLdD0w4yPqzgH7Bz1XA7QnIJCISOSpYiIiIiIgkkLu/BWw+yCbnAQ96zCwgz8x6JiadiEh0qGAhIiIiIhItvYE1cffLgmUiIm1KetgBWkLXrl29T58+YccQEfkXc+fOLXf3bmHnSAS1xSISRaneDpvZVcQuG6Fjx46jBgwYEHIiEZF/dbhtcUoULPr06cOcOXPCjiEi8i/MbFUCHmMCcCuQBtzt7r9qsP5I4F6gG7EuyJe7e1mw7jfA54n1uHsV+L67u5mNInaNdRYwpX75wXKoLRaRKEpEO9wK1gJFcfcLg2X/wt3vBO4EGD16tKsdFpEoOty2WJeEiIgkMTNLA24jNkDbIOBSMxvUYLPfEbsWehgwCfhlsO844ARgGDAEOA44OdjnduBbfDLo28EGhxMRkZY1GfhaMFvIZ4Bt7r4+7FAiIommgoWISHIbA5S6+0p33ws8TmywtniDgNeD22/ErXcgE2gPdAAygA3BwG457j4r6FXxIPDF1n0aIiJth5k9BswEjjGzMjO70syuNrOrg02mACuBUuAu4JqQooqIhColLgkREWnD9jcw29gG28wHLiB22cj5QGcz6+LuM83sDWA9YMCf3X2xmY0OjhN/zP0O9hZ/7XRxcXELPB0RkdTn7pceYr0D301QHBGRyErZgkV1dTVlZWVUVVWFHSXpZGZmUlhYSEZGRthRRKRl/Aj4s5lNBN4idh10rZkdDQwkdm00wKtmdiJQ2dgDN7x2uiVDi0jLS+XzI52/iIiknpQtWJSVldG5c2f69OmDmYUdJ2m4OxUVFZSVlVFSUhJ2HBE5tEMOzObu64j1sMDMOgFfcvetZvYtYJa77wzWvQgcDzzEJ0WM/R5TRJJTqp4f6fxFRCQ1pewYFlVVVXTp0iWl/hgngpnRpUuXlPzmRSRFvQP0M7MSM2sPXEJssLZ9zKyrmdW39z8hNmMIwGrgZDNLN7MMYgNuLg4GdttuZp+xWCP6NeD5RDwZEWldqXp+pPMXEZHUlLIFCyDl/hgnil43keTh7jXAtcDLwGLgSXdfaGaTzOzcYLNTgKVmtgzoAfwiWP40sAJ4n9g4F/Pd/W/BumuAu4kN+LYCeDEBT0dEEiBV/86n6vMSEWnLUrpgEQW/+MUvGDx4MMOGDWPEiBHMnj2bPn36UF5eHnY0EUkR7j7F3fu7e193/0Ww7GZ3nxzcftrd+wXbfNPd9wTLa9392+4+0N0HufsP4445x92HBMe8NhgATkSkRWzYsIHLLruMo446ilGjRnH88cfz7LPPMmfOHK677rpD7j9u3LgEpBQRkbCl7BgWUTBz5kz+/ve/8+6779KhQwfKy8v5/+zdd3hUZf7+8fcnk0ZHSKihE0roEDoIKiorCoigICAKoqBg3a+ra1nLqrv2BtJEmogIiIgoogJK7713KUKkFwMpz++PDP6yERQ1k5Nk7td15XLmnGdO7uGSYeae5zzn3LlzXscSERER8Yxzjo4dO9KrVy/Gjx8PwO7du5k2bRo33ngj8fHxv3uMBQsWBDqmiIhkA5phEUAHDhwgKiqKiIgIAKKioihVqhQAb7/9NvXr16dWrVps2rQJgCVLltC0aVPq1atHs2bN2Lx5MwCjRo2iU6dOtG3bltjYWB555JFffkf+/Pl5/PHHqVOnDk2aNOHgwYMA7Nq1iyuvvJLatWtz1VVXsWfPHgBuv/127rvvPpo1a0bFihWZNGlSlv15iIiIiHz77beEh4fTr1+/X7aVK1eOgQMHMmfOHK6//noAnn76aXr37k3r1q2pWLEib7311i/j8+fPn+W5RUQk6wXFDItnPlvPhv0nMvWYcaUK8q8bavzmmGuuuYZnn32WKlWq0KZNG2655RZatWoFpJUXK1asYPDgwbzyyiuMGDGCatWq8f333xMaGsrXX3/NP//5TyZPngzAqlWrWLlyJREREVStWpWBAwdSpkwZTp8+TZMmTXj++ed55JFHGD58OE888QQDBw6kV69e9OrVi5EjR3LfffcxdepUIK1ImTdvHps2baJ9+/Z07tw5U/9sREREJPvz6v3R+vXrqV+//iUdb9OmTcyePZuTJ09StWpV+vfvr8uWiogEEc2wCKD8+fOzfPlyhg0bRnR0NLfccgujRo0CoFOnTgA0aNCAXbt2AXD8+HG6dOlCzZo1efDBB1m/fv0vx7rqqqsoVKgQkZGRxMXFsXv3bgDCw8N/+SYi/bEWLlzIrbfeCkDPnj2ZN2/eL8fq2LEjISEhxMXF/TIjQ0QubkfCKVbsOep1jFznhyNnWLrriNcxRMRj9957L3Xq1KFhw4a/2teuXTsiIiKIioqiWLFiet8iIhJkgmKGxe81/YHk8/lo3bo1rVu3platWowePRrgl9NEfD4fycnJADz55JNcccUVfPLJJ+zatYvWrVv/cpzz4zM+Jiws7JdVsdNv/y3pj6V19ER+33+/3MSCbYdZ9M+ryBcRFC+bWeKZzzbw3dYE3upal7Y1S3odRyToePX+qEaNGr/MIAUYNGgQP/300wXXrrjY+x8REQkOmmERQJs3b2br1q2/3F+1ahXlypW76Pjjx49TunRpgF9mYvxZzZo1Y8KECQB88MEHtGzZ8i8dTyRYrd17nJnrD9KnZQWVFZns5c61qVGqIP0/WMHYhbu8jiMiWeTKK68kMTGRd99995dtZ86c8TCRiIhkVyosAujUqVP06tWLuLg4ateuzYYNG3j66acvOv6RRx7hscceo169en/5G4S3336b999/n9q1azN27FjefPPNv3Q8kWD12qzNFM4bRu8WFbyOkutcli+c8Xc24apqxXjy0/W8PHOTZn2JBAEzY+rUqcydO5cKFSrQqFEjevXqxX//+1+vo4mISDZjueHNYXx8vFu2bNn/bNu4cSPVq1f3KFHOpz8/EVi++wg3vbuQf7StRv/Wlf7UMcxsuXPu96/Rlwtc6LX4UiSnpPLE1HVMWPoDXRrE8EKnWoT51KeLBEJu//f9Qs9Pr8MiIt77s6/Fmt8sInIRr361haj84fRqdvFTueSvC/WF8GKnWhQvGMmb32zlp1NnGdS9PnnD9U+UiIiISDAL6FdYZuYzs5VmNv0C+yLM7CMz22Zmi82svH97eTP72cxW+X+GBDKjiMiFLNj+Ewu2H6Z/68r64JwFzIwHr67CCzfWYu6WBLoNX8zhU2e9jiUiIiIiHgr0nNv7gY0X2dcHOOqcqwy8DqQ/cXG7c66u/6dfgDOKiPwP5xyvfbWFEgUj6d64rNdxgsqtjcsytGc8mw6coPOQhew5rIX4RERERIJVwAoLM4sB2gEjLjKkAzDaf3sScJWdvz5nJskN63N4QX9uEuzmbklg2e6j3HtlZSLDfF7HCTpXxxVnfN/GHD1zjk7vLmDdvuNeRxLJVXLrv/O59XmJiASzQM6weAN4BEi9yP7SwA8Azrlk4DhQ1L+vgv9UkrlmdsHrcZrZXWa2zMyWJSQk/Gp/ZGQkhw8f1j9ef5BzjsOHDxMZGel1FBFPOOd4bdYWShfOwy3xZbyOE7QalCvCpH5NiQgN4ZahC/l+669f50Xkj8ut74/0/kVEJHcKyInZZnY9cMg5t9zMWv/Bhx8AyjrnDptZA2CqmdVwzp1IP8g5NwwYBmkrImc8SExMDHv37uVCZYb8tsjISGJiYryOIeKJWRsOsmbvcV7qXJvwUF2pwkuVixVgyj3N6DVyCXe8v5RXutShY73SXscSydFy8/sjvX8REcl9ArWSXHOgvZldB0QCBc1snHOuR7ox+4AywF4zCwUKAYddWuV/FsBfeGwHqgB/6BpNYWFhVKhQIROeiogEi9TUtNkVFaLy0UkfjLOF4gUjmdivKXeNWcYDH63i0MlE+rasSCafQSgSNPT+SEREcpKAfH3onHvMORfjnCsPdAW+zVBWAEwDevlvd/aPcWYWbWY+ADOrCMQCOwKRU0QkvRnrDrDpx5M80CaWUJ9mV2QXBSPDGN27Ee1ql+SFGZt4bvpGUlNz13R2EREREfm1LL1Wn5k9Cyxzzk0D3gPGmtk24AhpxQbA5cCzZpZE2voX/ZxzR7Iyp4gEn+SUVF6btYUqxfNzfe1SXseRDCJCfbzdtR7FCkQwcv5ODp1M5NWb6xARqkVRRURERHKrgBcWzrk5wBz/7afSbU8Eulxg/GRgcqBziYik9+mq/exIOM2QHvXxheh0g+woJMR46vo4ShSM5MUvNnH41DmG3taAgpFhXkcTERERkQDQnGcRCXpJKam8+c1WapQqyLU1SngdR36DmXF3q0q8fksdlu46ws1DFnLwRKLXsUREREQkAFRYiEjQm7R8L3uOnOHha6poMccc4sZ6MYy8vSE/HDlDp8EL2HbolNeRRERERCSTqbAQkaCWmJTCW99spV7ZwlxRtZjXceQPuLxKNB/d3ZSzySl0HrKA5buPeh1JRERERDKRCgsRCWoTluzhwPFEHr66qmZX5EA1SxdiSv/mFM4TRvcRi/h6w0GvI4mIiIhIJlFhISJB6+dzKQyas8qUCM4AACAASURBVJ3GFYrQvHJRr+PIn1S2aF4m929G1eIFuGvsMiYs2eN1JBERERHJBCosRCRojV20i4STZ3n4Gs2uyOmK5o9gfN8mXF4lmkenrOWNr7fgnPM6loiIiIj8BSosRCQonTqbzLtzttMyNopGFYp4HUcyQb6IUIbfFk/nBjG88fVW/vnJWpJTUr2OJSIiIiJ/UqjXAUREvDBq/k6Onkni4Wuqeh1FMlGYL4SXO9emRMFI3pm9jYST53i7Wz3yhPu8jiYiIiIif5BmWIhI0Dl+Jomh3+2gTfXi1C1T2Os4ksnMjL9fW5XnOtTgm00H6T5iEUdPn/M6loiIiIj8QSosRCTojJi3g5OJyTx0dRWvo0gA9Wxanne712fd/hN0HrKAvUfPeB1JRERERP4AFRYiElSOnD7HyHk7aVerJHGlCnodRwKsbc2SjOvTmISTZ+k0eAEb9p/wOpKIiIiIXCIVFiISVIbO3c7PSSk8eHWs11EkizSqUIRJ/ZvhCzFuGbqQBdt/8jqSiIiIiFwCFRYiEjQOnUxk9MJddKhbmsrFCngdR7JQleIFmNy/GSULR3L7yKVMX7Pf60giIiIi8jtUWIhI0Bg8eztJKY77r9LsimBUqnAePr67GXXLFGbghysZOW+n15FERERE5DeosBCRoLD/2M+MX7yHLg1iKB+Vz+s44pFCecMY06cR18aV4NnpG3hxxkZSU53XsURERETkAlRYiEhQePvbbTgcA66s7HUU8VhkmI9B3evTs0k5hn63g4cmruJccqrXsUREREQkg1CvA4iIBNqew2f4eNkP3Nq4LDGX5fU6jmQDvhDj2Q41KFEokpdnbubw6XO826MB+SP0z6KIiIhIdqEZFiKS6735zVZ8Ica9V2h2hfx/Zmn/T7zcuTYLth+m67CFJJw863UsEREREfFTYSEiudq2Q6f4ZOVeejYpR/GCkV7HkWyoS3wZRvSKZ/uh09z07gJ2/nTa60giIiIiggoLEcnl3vxmK5FhPvq1ruR1FMnGrqhajAl3NeH02WRuencBq3445nUkERERkaCnwkJEcq2NB07w2er93NG8PFH5I7yOI9lcnTKFmdS/GfkifHQbtogF237yOpKIiIhIUFNhISK51uuztlAgIpS+LSt6HUVyiApR+ZjSvznliubljlFLmbdVpYWIiIiIV1RYiEiutHbvcb7acJA7W1akcN5wr+NIDhJdIILxfZtQISoffUYv5bstCV5HEhEREQlKKixEJFd6ddZmCucNo3eL8l5HkRyoSL5wPuzbhErR+blzzDLmbD7kdSQRERGRoKPCQkRyneW7jzBncwL9WlWiQGSY13Ekh7osXzjj+zYmtlh+7hqznNmbVFqIiIiIZCUVFiKS67z61Rai8odzW9NyXkeRHK5w3nA+uLMxVUsU4O6xy/lm40GvI4mIiIgEDRUWIpKrLNj2Ewu2H+ae1pXJGx7qdRzJBQrnDWdcn8ZUL1mAfuOWM2uDSgsRERGRrKDCQkRyDeccr87aQomCkdzauKzXcSQXKZQ3jDF9GhNXqhD3fLCcmet/9DqSiIiISK6nwkJEco05WxJYvvsoA66sTGSYz+s4kssUyhPG2D6NqFm6EPd+sIIv1x3wOpKIiIhIrhbQwsLMfGa20symX2BfhJl9ZGbbzGyxmZVPt+8x//bNZnZtIDOKSO7gnOO1r7YQc1kebo4v43WcLGVmbf2vl9vM7NEL7C9nZt+Y2Rozm2NmMf7tV5jZqnQ/iWbW0b/vKjNb4d8+z8wqZ/Xzyo4KRoYxpncjascU4t7xK5mxVqWFiIiISKAEeobF/cDGi+zrAxx1zlUGXgf+C2BmcUBXoAbQFhhsZvqqVER+01cbDrJ233HuvyqW8NDgmTzmf30cBPwNiAO6+V9H03sFGOOcqw08C7wI4Jyb7Zyr65yrC1wJnAG+8j/mXaC7f9944ImAP5kcokBk2ukh9coUZuCHK5m+Zr/XkURERERypYC9q/d/g9cOGHGRIR2A0f7bk4CrzMz82yc4584653YC24BGgcopIjlfamra7IqKUfm4sV5pr+NktUbANufcDufcOWACaa+j6cUB3/pvz77AfoDOwBfOuTP++w4o6L9dCNCn8nTyR4QyqncjGpS9jPsnrGLaav3xiIiIiGS2QH4N+QbwCJB6kf2lgR8AnHPJwHGgaPrtfnv92/6Hmd1lZsvMbFlCQkJm5haRHObztQfYfPAk97eJJdQXPLMr/C7lNXM10Ml/+0aggJkVzTCmK/Bhuvt3AjPMbC/QE/hPpiXOJfJHhPL+HQ1pUO4yHpiwkk9X7fM6koiIiEiuEpB39mZ2PXDIObc8EMcHcM4Nc87FO+fio6OjA/VrRCSbS05J5fWvt1C1eAFuqF3K6zjZ1d+BVma2EmgF7ANSzu80s5JALWBmusc8CFznnIsB3gdeu9CBg708zhcRyqg7GtKoQhEe/GgVn6zc63UkEckhLmH9obJmNtu/HtwaM7vOi5wiIl4K1FeRzYH2ZraLtOnJV5rZuAxj9gFlAMwslLQpx4fTb/eL8W8TEfmVqav2syPhNA9eHUtIiHkdxwu/+5rpnNvvnOvknKsHPO7fdizdkJuBT5xzSQBmFg3Ucc4t9u//CGh2oV+u8hjyhofy/u2NaFKxKA9NXM2k5SotROS3XeL6Q08AE/2v3V2BwVmbUkTEewEpLJxzjznnYpxz5Ul7gf3WOdcjw7BpQC//7c7+Mc6/vav/KiIVgFhgSSByikjOlpSSypvfbKFGqYJcW6OE13G8shSINbMKZhZO2mvutPQDzCzKzM6/3j8GjMxwjG787+kgR4FCZlbFf/9qLr6AsgB5wn2816shzStF8X+TVjNx2Q+//yARCWaXsv6Q1hISkaCXpSd7m9mzZtbef/c9oKiZbQMeAh4FcM6tByYCG4AvgXudcykXOp6IBLePl+3lhyM/8/drqpK2Zm/w8a8BNIC00zk2kvZt3PoMr7etgc1mtgUoDjx//vH+S0qXAeZmOGZfYLKZrSZtDYv/C/iTyeHyhPsY0SueFpWj+MfkNXy0dI/XkUQk+7qU9YeeBnr41xKaAQzMmmgiItlHaKB/gXNuDjDHf/updNsTgS4XeczzpHtDLSKSUWJSCm9/u5V6ZQvTumpwnopwnnNuBmlvZtNvS/96O4m0qzFd6LG7uMDCxs65T4BPMjVoEIgM8zH8tnjuHrucf0xeS6qDbo3Keh1LRHKmbsAo59yrZtYUGGtmNZ1z/7OgvZndBdwFULasXm9EJHcJuuX0RSR3mLBkDweOJwb17ArJniLDfAzt2YArqkbz2JS1fLB4t9eRRCT7uZQ12/qQNusY59xCIBKIynggrSUkIrmZCgsRyXF+PpfCO7O306RiEZpVynh1ThHvRYb5GNKzAVdVK8bjn6xj7MJdXkcSkezld9cfAvYAVwGYWXXSCovguxyTiAQ1FRYikuOMWbiLn06d5WHNrpBsLCLUx+Ae9WlTvThPfrqe0Qt2eR1JRLKJS1x/6GGgr38toQ+B2/0L1IuIBI2Ar2EhIpKZTp1NZsjc7VxeJZqG5Yt4HUfkN0WE+hjcvT4Dxq/gX9PWk+ocdzSv4HUsEckGLmH9oQ1A86zOJSKSnWiGhYjkKO/P28nRM0k8fHWV3x8skg2Eh4YwqHt92tYowTOfbWDE9zu8jiQiIiKSI6iwEJEc4/iZJIZ9v4M21YtTp0xhr+OIXLIwXwhv31qP62qV4N+fb2T4dyotRERERH6PTgkRkRxjxLwdnExM5iHNrpAcKMwXwptd62G2iudnbCTFOfq1quR1LBEREZFsS4WFiOQIh0+dZeS8nbSrXZK4UgW9jiPyp4T5QnjzlrqEmPGfLzaR6hz3tK7sdSwRERGRbEmFhYjkCEO/28HPSSk82CbW6ygif0moL4TXb65DiMFLX24mNdUx4Er9fy0iIiKSkQoLEcn2Dp1IZMzCXXSsW5rKxQp4HUfkLwv1hfDazWkzLV75agupDu67SqWFiIiISHoqLEQk2xs8ZztJKY77NbtCchFfiPFKlzqYwWuztpDqHA+00fosIiIiIuepsBCRbG3fsZ8Zv3gPN8fHUK5oPq/jiGQqX4jxcuc6hJjxxtdbSXXwYJtYzMzraCIiIiKeU2EhItnaO99uA9A5/pJr+UKMl26qjc+Mt77ZSmqq4+Frqqi0EBERkaCnwkJEsq3dh0/z8bIf6N64LKUL5/E6jkjAhIQYL3aqRUgIvDN7GynO8ci1VVVaiIiISFBTYSEi2dab32zFF2Lce4Uu+yi5X0iI8XzHWpgZ787ZTqpzPNq2mkoLERERCVoqLEQkW9p26BRTV+6jT4sKFCsY6XUckSwREmL8u0NNQgyGzt1Baqrjn9dVV2khIiIiQUmFhYhkS298vYXIMB/9WlXyOopIlgoJMZ7rUBOfGcO/30mqgyfaqbQQERGR4KPCQkSynY0HTjB9zQEGXFGZovkjvI4jkuXMjKfb18DMeG/eTlKd46nr41RaiIiISFBRYSEi2c5rs7ZQIDKUvi0reh1FxDNmxr9uiMMX4i8tUt0vJYaIiIhIMFBhISLZypq9x5i14SAPXV2FQnnDvI4j4ikz44l21Qkxfjk95Jn2NQgJUWkhIiIiuZ8KCxHJVl79aguX5Q3jjublvY4iki2YGf+8rjohIcbQuTs4fTaZFzrVIjLM53U0ERERkYBSYSEi2cayXUeYuyWBR/9WjQKRml0hcp6Z8WjbauQLD+W1WVvY/tNphvZoQIlCuoKOiIiI5F4hXgcQEQFISknlv19uIip/BLc1Led1HJFsx8y476pYhvRowNaDJ7nhnXks333E61giIiIiAaPCQkQ8l5ySygMTVrF011H+0bYqecM1+UvkYtrWLMEn9zQnT5iPrsMWMWHJHq8jiYiIiASECgsR8VRySioPfLSKz9ce4Il21ekSX8brSCLZXtUSBZg2oDlNKhbl0SlreXLqOpJSUr2OJSIiIpKpVFiIiGdSUh0Pf7ya6WsO8NjfqnGnLmMqcskK5w3n/dsb0rdlBcYu2k33EYv56dRZr2OJiIiIZBoVFiLiiZRUx/99vJpPV+3n/66tyt2tKnkdSSTHCfWF8Hi7ON64pS6rfzhGh3fms27fca9jiYiIiGQKFRYikuVSUx3/mLyGKSv38fDVVbj3ispeRxLJ0TrWK82kfs1IdY7OQxbw6ap9XkcSERER+ctUWIhIlkpNdTw2ZS2Tlu/lgTaxDLwq1utIIrlCrZhCTBvQglqlC3H/hFW8+MVGUlKd17FERERE/rSAFBZmFmlmS8xstZmtN7NnLjCmnJl9Y2ZrzGyOmcWk25diZqv8P9MCkVFEsl5qquPxqev4aNkPDLyyMverrBDJVNEFIvjgzib0aFKWoXN30HvUUo6fSfI6loiIiMifEqgZFmeBK51zdYC6QFsza5JhzCvAGOdcbeBZ4MV0+352ztX1/7QPUEYRyULOOZ6ato4Pl+zhntaVeOjqKpiZ17FEcp3w0BD+3bEWL9xYiwXbf6LDoHlsPXjS61giIiIif1hACguX5pT/bpj/J+O81DjgW//t2UCHQGQREe8553h62nrGLdrD3a0q8n/XVlVZIRJgtzYuy4d9m3DqbAodB83nq/U/eh1JRERE5A8J2BoWZuYzs1XAIWCWc25xhiGrgU7+2zcCBcysqP9+pJktM7NFZtbxIse/yz9mWUJCQkCeg4j8dc45np2+gdELd3Nniwo82raaygqRLBJfvgifDWxOpWL5uWvsct78eiupWtdCREREcoiAFRbOuRTnXF0gBmhkZjUzDPk70MrMVgKtgH1Ain9fOedcPHAr8IaZ/ep6h865Yc65eOdcfHR0dKCehoj8Bc45nv98I+/P38UdzcvzeLvqKitEsljJQnmYeHdTOtUrzetfb6H/B8s5dTbZ61giIiIivyvgVwlxzh0j7ZSPthm273fOdXLO1QMeTzcW59w+/393AHOAeoHOKSKZyznHf77YxIh5O+nVtBxPXR+nskLEI5FhPl69uQ5PtKvOrA0H6TR4PrsPn/Y6loiIiMhvCtRVQqLNrLD/dh7gamBThjFRZnb+9z8GjPRvv8zMIs6PAZoDGwKRU0QCwznHyzM3M/S7HfRoUpan29dQWSHiMTPjzpYVGdO7MQdPnKX9O/P5fqtOqRQREZHsK1AzLEoCs81sDbCUtDUsppvZs2Z2/qofrYHNZrYFKA48799eHVhmZqtJm5nxH+ecCguRHMI5x2uztjB4zna6NSrLs+1rqqwQyUZaxEbx2YAWlCgYSa+RSxj+3Q6c07oWIiIikv2EBuKgzrk1XOA0DufcU+luTwImXWDMAqBWIHKJSOC9+c1W3v52G7fEl+H5jjUJCVFZIZLdlC2alyn3NOPvH6/m+Rkb2XDgBC92qkVkmM/raCIiIiK/CPgaFiISPN7+ZitvfL2Vzg1ieLFTLZUVItlYvohQBnevz8NXV+GTlfvoMmQh+4/97HUsERERkV+osBCRTDFo9jZenbWFTvVK89+baqusEMkBzIyBV8Uy4rZ4dv50mvbvzGPJziNexxIREREBVFiISCYYMnc7L8/cTIe6pXi5Sx18KitEcpQ2ccWZem8zCkSGcevwRYxbtNvrSCIiIiIqLETkrxnx/Q7+88UmbqhTildVVojkWJWLFWDqvc1pERvFE1PX8diUtZxLTvU6loiIiAQxFRYi8qe9N28n//58I+1qleT1m+sQ6tNLikhOVihPGO/1akj/1pX4cMkebh2+iEMnE72OJSIiIkFKny5E5E8ZvWAXz03fQNsaJXija12VFSK5hC/E+EfbarzdrR7r9h+n/dvzWbP3mNexREREJAjpE4aI/GFjF+3mX9PWc3Vccd7qVo8wlRUiuc4NdUoxuX8zfCFG5yELmbJir9eRREREJMjoU4aI/CHjF+/hyanraFO9GINurU94qF5GRHKrGqUKMW1Ac+qXLcxDE1fz3PQNJKdoXQsRERHJGvqkISKX7KOle/jnJ2u5omo0g7qrrBAJBkXzRzC2T2Nub1ae9+bt5Pb3l3L09DmvY4mIiEgQ0KcNEbkkHy/7gUenrKVVlWje7dGAiFCf15FEJIuE+UJ4un0NXrqpNkt2HqH9oHls+vGE17FEREQkl1NhISK/a/LyvTwyeQ0tKkcxtGcDIsNUVmQnZtbWzDab2TYze/QC+8uZ2TdmtsbM5phZjH/7FWa2Kt1Popl19O8zM3vezLaY2UYzuy+rn5dkPzc3LMOEu5twNimVToMX8MXaA15HEhERkVxMhYWI/KapK/fx90mraVqxKMN6xqusyGbMzAcMAv4GxAHdzCwuw7BXgDHOudrAs8CLAM652c65us65usCVwBngK/9jbgfKANWcc9WBCYF+LpIz1C97GZ8NbEGV4gXo/8EKXvtqM6mpzutYIiIikgupsBCRi5q2ej8PTVxF4wpFeK9XQ/KEq6zIhhoB25xzO5xz50grFjpkGBMHfOu/PfsC+wE6A18458747/cHnnXOpQI45w5lenLJsYoXjGTCXU3o0iCGt77dxl1jl3EyMcnrWCIiIpLLqLAQkQv6fM0BHvxoFfHlijDydpUV2Vhp4Id09/f6t6W3Gujkv30jUMDMimYY0xX4MN39SsAtZrbMzL4ws9hMzCy5QGSYj5c61+aZ9jWYvTmBjoPms+3QSa9jiYiISC6iwkJEfuWLtQe4b8JK6pUpzPt3NCRveKjXkeSv+TvQysxWAq2AfUDK+Z1mVhKoBcxM95gIINE5Fw8MB0Ze6MBmdpe/1FiWkJAQqPySTZkZvZqVZ1yfxhw7k0SHd+bz+RqtayEiIiKZQ4WFiPyPmet/ZOCHK6kTU4hRvRuRL0JlRTa3j7S1Js6L8W/7hXNuv3Ouk3OuHvC4f9uxdENuBj5xzqWf078XmOK//QlQ+0K/3Dk3zDkX75yLj46O/mvPRHKsppWKMv2+FlQpUYB7x6/g39M3kJSS6nUsERERyeFUWIjIL77ecJAB41dQs3QhRvduRH6VFTnBUiDWzCqYWThpp3ZMSz/AzKLM7Pzr/WP8erZEN/73dBCAqcAV/tutgC2ZmlpynZKF8vDRXU3p1bQcI+btpPvwxRw6meh1LBEREcnBVFiICADfbjpI/w+WU71kQUb3bkSByDCvI8klcM4lAwNIO51jIzDRObfezJ41s/b+Ya2BzWa2BSgOPH/+8WZWnrQZGnMzHPo/wE1mtpa0q4rcGcCnIblEeGgIz3SoyRu31GXNvmO0e2seS3cd8TqWiIiI5FD6+lREmLP5EP3GrqBqiQKM7d2YQnlUVuQkzrkZwIwM255Kd3sSMOkij93FrxfpPH/KSLtMDSpBo2O90lQrWYB+Y5fTbdgiHruuOr2bl8fMvI4mIiIiOYhmWIgEue+2JHDX2OVULpafcX0aUyivygoR+euqlSjItIEtuKJaMZ6bvoGBH67k9Nlkr2OJiIhIDqLCQiSIzd/2E33HLKNiVD4+uLMxhfOGex1JRHKRgpFhDO3RgEfaVmXG2gP+S5+e8jqWiIiI5BAqLESC1ILtP9Fn9FLKF00rKy7Lp7JCRDJfSIhxT+vKjO3TmCOnz9HhnXl8sVaXPhUREZHfp8JCJAgt2nGYPqOWUeayvHzQtzFF80d4HUlEcrnmlaOYfl8LYosXoP8HK3hhxkaSdelTERER+Q0qLESCzOdrDtB71FJKFY5kfN8mRKmsEJEsUrJQHj66uwk9m5Rj2Hc76D5Clz6V4GVmbc1ss5ltM7NHLzLmZjPbYGbrzWx8VmcUEfGaCguRIHH8TBL3T1jJveNXEFssPx/2bUJ0AZUVIpK1IkJ9PNexJq/dXIfVe49x/VvzWKZLn0qQMTMfMAj4GxAHdDOzuAxjYoHHgObOuRrAA1keVETEYyosRILA91sTuPaN7/h8zQEebFOFyf2bUaxgpNexRCSIdaofwyf3NCdPuI+uwxbx/vydOOe8jiWSVRoB25xzO5xz54AJQIcMY/oCg5xzRwGcc4eyOKOIiOdUWIjkYj+fS+GpT9fR870l5IvwMeWeZtzfJpZQn/7qi4j3qpcsyLQBLWhdtRjPfLaB+yes0qVPJViUBn5Id3+vf1t6VYAqZjbfzBaZWdsLHcjM7jKzZWa2LCEhIUBxRUS8Eep1ABEJjJV7jvLwxNXs+Ok0vZtX4JG2VYkM83kdS0TkfxTKE8awng14d+52Xv1qM5t+PMGQHg2oGJ3f62giXgsFYoHWQAzwnZnVcs4dSz/IOTcMGAYQHx+vaUoikqvoa1aRXCYpJZXXvtpM5yELSUxKYXzfxjx1Q5zKChHJtkJCjHuvqMyY3o356dQ52r8zny/X6dKnkqvtA8qkux/j35beXmCacy7JObcT2EJagSEiEjQCUliYWaSZLTGz1f5VjZ+5wJhyZvaNma0xszlmFpNuXy8z2+r/6RWIjCK50daDJ7lx8Hze+nYbHeuW5ssHL6dZpSivY4mIXJIWsVFMH9iCSsXy02/cCl7UpU8l91oKxJpZBTMLB7oC0zKMmUra7ArMLIq0U0R2ZGVIERGvBWqGxVngSudcHaAu0NbMmmQY8wowxjlXG3gWeBHAzIoA/wIak7Yg0b/M7LIA5RTJFVJTHSO+30G7t+ex/1giQ3o04NWb61AwMszraCIif0ipwnmYeHcTejQpy9DvdtDjvcUknDzrdSyRTOWcSwYGADOBjcBE59x6M3vWzNr7h80EDpvZBmA28H/OucPeJBYR8UZA1rBwact8n/LfDfP/ZDynLg54yH97NmktMsC1wCzn3BEAM5sFtAU+DERWkZxu79Ez/P3j1SzacYQ21YvxYqfaulypiORoEaE+/t2xFvXKXMY/P1nL9W9/z+DuDWhQTt9fSO7hnJsBzMiw7al0tx1p75UfQkQkSAVsDQsz85nZKuAQaQXE4gxDVgOd/LdvBAqYWVEubdVkrYgsQc85x6Tle/nbG9+zdu9xXrqpNsNvi1dZISK5xk0N0i59GhHqo+uwhYxesEuXPhUREQkiASssnHMpzrm6pC0i1MjMamYY8neglZmtBFqRttBQyh84/jDnXLxzLj46OjrTcovkBD+dOsvdY5fz949XU71UQb584HJublgGM/M6mohIpoorVZDPBrTg8tho/jVtPQ98tIoz53TpUxERkWAQ8MuaOueOmdls0k7rWJdu+378MyzMLD9wk3/sPvwLDPnFAHMCnVMkp5i14SCPTVnDiZ+Tefy66vRuUQFfiIoKEcm9CuUNY/ht8Qyes41XZ21h04GTvNujvi59KiIikssF6ioh0WZW2H87D3A1sCnDmCgzO//7HwNG+m/PBK4xs8v8i21e498mEtROJibxyKTV9B2zjGIFIvlsYAv6Xl5RZYWIBIWQEGPAlbGM6d2IQycT6fDOfGau/9HrWCIiIhJAgTolpCQw28zWkHbZplnOuekZVj5uDWw2sy1AceB5AP9im8/5H7cUePb8ApwiwWrRjsO0feN7Ji3fy4ArKjP13uZULVHA61giIlmuZWw00+9rScXofNw9djn/+WKTLn0qIiKSSwXqKiFrgHoX2J5+5eNJwKSLPH4k/3/GhUjQSkxK4dWvNjNi3k7KFcnLx/2aaZV8EQl6pQvnYWK/pjzz2QaGzN3Omr3HeKtbPaLya9FhERGR3CRgi26KyF+zbt9x2r8zj+Hf76R747LMuL+lygoREb+IUB8v3FiLV7rUYfnuo1z/1jxW7DnqdSwRERHJRCosRLKZ5JRU3vl2Kx0HzefYmSRG927EvzvWIm94wNfIFRHJcTo3iGHKPc0ICzVuGbqQMQt16VMREZHcQoWFSDay86fTdBm6kFe+2kLbmiX46sHLaVVFl+0VEfktNUoVYvqAlrSMjeapT9fz0MTV/Hzukq+ULiIiItmUvrIVyQacc4xbtJsXZmwigfXQjQAAIABJREFUPDSEt7rVo32dUl7HEhHJMQrlDWPEbfEMmr2N177ewsYDJxjSowHlo/J5HU1ERET+JM2wEPHYj8cT6fX+Up78dD0NKxRh5gOXq6wQEfkTQkKMgVfFMuqORvx4IpEb3pnHrA0HvY4lIiIif5IKCxEPTVu9n2vf+I6lO4/wXMeajL6jISUKRXodS0QkR2tVJZrpA1tQISoffccs44mpazmZmOR1LBEREfmDdEqIiAeOnTnHE1PXMX3NAeqVLcxrN9elgqYti4hkmpjL8jLx7qa8MnMzI+fv5JuNh3j+xppcWa2419FERETkEmmGhUgWm7P5ENe8/h1frvuR/7u2Kh/f3VRlhYhIAESG+Xji+jgm929GgchQeo9axv0TVnL41Fmvo4mIiMglUGEhkkXOnEvm8U/Wcvv7SymcN4yp9zbn3isqE+rTX0MRkUCqV/Yypg9syYNtqjBj7QGufv07Pl21T5c/FRERyeb0SUkkCyzffZTr3vye8Uv2cNflFZk2oAU1SxfyOpaISNAIDw3h/jaxfH5fS8oWycv9E1bRZ/Qy9h/72etoIiIichEqLEQC6FxyKi/P3ESXIQtISnF82LcJ/7yuOpFhPq+jiYgEpSrFCzC5fzOevD6OhdsPc83r3zFu0W5SUzXbQkREJLvRopsiAbL14Enun7CKDQdOcEt8GZ64vjoFIsO8jiUiEvR8IUafFhW4Jq44j01ZyxNT1zFt9X7+06kWFaPzex1PRERE/DTDQiQA5m5J4MbBCzh0MpHht8Xz3861VVaIiGQzZYrkZWyfRrzUuTabDpyg7Zvf8+6c7SSnpHodTURERFBhIZLpxi/eQ+9RSylTJC+fDWzB1XG6hJ6ISHZlZtwcX4avH27FVdWK8d8vN9Fh0HzW7TvudTQREZGgp8JCJJOkpjpenLGRf36ylstjo/i4X1NKFsrjdSwREbkExQpE8m6PBgzpUZ9DJ8/SYdB8XvpyE4lJKV5HExERCVoqLEQyQWJSCveOX8HQ73bQs0k5ht8WT/4ILREjIpLTtK1Zkq8fbMVN9UszeM52rnvze5bsPOJ1LBERkaCkwkLkL0o4eZauwxbx5fofeaJddZ7tUINQn/5qiYjkVIXyhvFS5zqM69OYpNRUbh66kCenruNkYpLX0URERIKKPlWJ/AVbD57kxsHz2fTjCYb0aMCdLStiZl7HEhGRTNAiNoqZD1xOnxYVGLd4N9e+/h2zNx3yOpaIiEjQUGEh8ict2PYTnd5dQGJSKhPvbsq1NUp4HUlERDJZ3vBQnrw+jsn9m5E/MpQ7Ri3lgQkrOXL6nNfRREREcj0VFiJ/wsRlP3DbyCWULBTJ1HubUTumsNeRREQkgOqXvYzpA1vyQJtYPl97gDavzeXTVftwznkdTUREJNdSYSHyBzjneGXmZh6ZtIamlYoyqX8zYi7L63UsERHJAuGhITzQpgrTB7akTJG83D9hFXeOXsaB4z97HU1ERCRXUmEhcokSk1K4f8Iq3pm9ja4NyzDy9oYUjAzzOpaIiGSxqiUKMKV/M568Po4F2w9z9WvfMW7RblJTNdtCREQkM6mwELkER06fo8eIxUxbvZ9/tK3Gi51qEaYrgYiIBC1fiNGnRQVmPnA5dcoU4omp6+g6fBE7fzrtdTQREZFcQ5+4RH7HjoRT3Dh4Pmv2HWfQrfXp37qSrgQiIiIAlC2al3F9GvNS59psOnCCtm98x5C520lOSfU6moiISI6nwkLkNyzecZhO7y7gVGIyH/ZtQrvaJb2OJCIi2YyZcXN8Gb5+qBVXVC3Gf77YRMfB81m//7jX0URERHI0FRYiFzF15T56vreEovnC+eSe5jQod5nXkUREJBsrVjCSIT0b8G73+vx4/Czt35nPyzM3kZiU4nU0ERGRHEmFhUgGzjne/HorD3y0ivrlCjOlf3PKFtWVQERE5NL8rVZJvn7ocjrVK82g2du57q3vWbrriNexREREchwVFiLpnEtO5eGPV/P611u4qX4MY3o3plBeXQlERET+mMJ5w3m5Sx3G9mnEueRUugxZyFOfruPU2WSvo4mIiOQYKixE/I6dOcdtIxczZcU+Hrq6Cq90qU14qP6KiIjIn9cyNpqZD1xO7+YVGLtoN9e8NpfZmw95HUtERCRHCMinMTOLNLMlZrbazNab2TMXGFPWzGab2UozW2Nm1/m3lzezn81slf9nSCAyiqS3+/BpOr27gBW7j/HGLXW576pYXQlEcgwza2tmm81sm5k9eoH95czsG/9r7Rwzi/FvvyLda+0qM0s0s44ZHvuWmZ3KqucikhvliwjlqRvimNy/GfkiQrnj/aU8+NEqjp4+53U0ERGRbC00QMc9C1zpnDtlZmHAPDP7wjm3KN2YJ4CJzrl3zSwOmAGU9+/b7pyrG6BsIv9j+e4j9B2znFTnGHdnYxpVKOJ1JJFLZmY+YBBwNbAXWGpm05xzG9INewUY45wbbWZXAi8CPZ1zs4G6/uMUAbYBX6U7djyg1WZFMkn9spcx/b4WDJ69ncFztrHqh2N8dFcTihWM9DqaiIhIthSQGRYuzflv5ML8Py7jMKCg/3YhYH8gsoj8lulr9tNt+GIKRoYypX8zlRWSEzUCtjnndjjnzgETgA4ZxsQB3/pvz77AfoDOwBfOuTPwSxHyMvBIQFKLBKmIUB8PXl2FD/s24eCJRLqPWMzhU2e9jiUiIpItBewEfTPzmdkq4BAwyzm3OMOQp4EeZraXtNkVA9Ptq+A/VWSumbW8yPHvMrNlZrYsISEhEE9BcjHnHIPnbGPA+JXULl2IKfc0p2J0fq9jifwZpYEf0t3f69+W3mqgk//2jUABMyuaYUxX4MN09wcA05xzBzIxq4j4xZcvwnu9GrLnyBl6vreE42eSvI4kIiKS7QSssHDOpfhP64gBGplZzQxDugGjnHMxwHXAWDMLAQ4AZZ1z9YCHgPFmVjDDY3HODXPOxTvn4qOjowP1NCQXSkpJ5dHJa3npy820r1OKcXc2pki+cK9jiQTS34FWZrYSaAXsA1LO7zSzkkAtYKb/fimgC/D27x1Y5bHIn9e0UlGG3RbPtkOnuO39JZxMVGkhIiKSXsAvgeCcO0baFOS2GXb1ASb6xywEIoEo59xZ59xh//blwHagSqBzSnA4kZjEHe8v5aNlPzDwysq82bUukWE+r2OJ/BX7gDLp7sf4t/3CObffOdfJXwQ/7t92LN2Qm4FPnHPnPy3VAyoD28xsF5DXzLZd6JerPBb5a1pViWZQ9/qs33ec3qOWcuacLnsqIiJyXqCuEhJtZoX9t/OQthjcpgzD9gBX+cdUJ62wSPA/1uffXhGIBXYEIqcEl71Hz3DT4AUs2nGYlzvX5uFrqupKIJIbLAVizayCmYWTdmrHtPQDzCzKP4MN4DFgZIZjdCPd6SDOuc+dcyWcc+Wdc+WBM865ygF7BiJB7uq44rzZtR7Ldx+l75hlJCal/P6DREREgkCgZliUBGab2RrS3kzPcs5NN7Nnzay9f8zDQF8zW03aG+XbnXMOuBxY41//YhLQzzl3JEA5JUis/uEYHQct4McTiYzp3Ygu8WV+/0EiOYBzLpm09SZmAhtJu/rS+gyvt62BzWa2BSgOPH/+8WZWnrQZGnOzMLaIZNCudkle6VKHBdsP03/ccs4lp3odSURExHMBuaypc24NaVOKM25/Kt3tDUDzC4yZDEwORC4JTl+u+5EHPlpJVP4IJtzVmMrFCngdSSRTOedmkLZ4cfpt6V9vJ5FWAF/osbv49SKdGcdoRVqRLNCpfgxnk1N5bMpaBn64gndurU+YL+Bn74qIiGRb+ldQci3nHCO+30H/D5ZTrURBpt7bXGWFiIhka90aleXpG+KYuf4gD01cTUpqxqvCi4iIBI+AzLAQ8VpySipPf7aecYv2cF2tErx2sxbXFBGRnOH25hVITE7lP19sIiI0hJduqk1IiNZcEhGR4KPCQnKdU2eTGTB+BXM2J9CvVSUeubaq3uiJiEiO0q9VJX4+l8Kb32wlMiyE5zrU1ELRIiISdFRYSK5y4PjP3PH+UrYeOsWLnWrRrVFZryOJiIj8KQ+0iSUxOYWhc3cQGerj8XbVVVqIiEhQUWEhuca6fcfpM3opp8+m8P7tDbm8SrTXkURERP40M+PRttU4m5TKiHk7iQzz8fdrq3odS0REJMuosJBc4ZuNBxn44UoK5wljcv9mVC2hxTVFRCTnMzP+dUMcZ5NTeGf2NiLDQhhwZazXsURERLKECgvJ8UYv2MUzn62nRqlCvNcrnmIFI72OJCIikmnMjOc71uJsUiqvfLWFyDAfd7as6HUsERGRgFNhITmWc47XZm3h7W+30aZ6cd7qVpe84fpfWkREcp+QEOOlzrU5m5zKvz/fSERoCD2blvc6loiISEDp053kSKmpjmc+W8/ohbu5Jb4ML3SqhU9XAhERkVws1BfCG13rcjY5lSc/XU9EqI+bG5bxOpaIiEjAhHgdQOSPSkpJ5eGPVzN64W7uurwi/7lJZYWIiASHMF8I79xaj5axUfxjyho+XbXP60giIiIBo8JCcpTEpBT6j1vOJyv38X/XVuWxv1XTJd5ERCSoRIb5GNYznsYVivDQxNV8ue6A15FEREQCQoWF5BgnE5PoNXIJ32w6xHMda3LvFZVVVoiISFDKE+7jvV4NqRNTiIEfrmT2pkNeRxIREcl0KiwkRzhy+hzdRyxm+e6jvHFLXXo2Ked1JBEREU/liwhlVO9GVCtRkLvHLWfe1p+8jiR/gJm1NbPNZrbNzB79jXE3mZkzs/iszCcikh2osJBs78Dxn7l56EI2/3iSYbc1oEPd0l5HEhERyRYKRoYxpncjKkbl484xS1my84jXkeQSmJkPGAT8DYgDuplZ3AXGFQDuBxZnbUIRkexBhYVkazt/Ok3ndxfy4/FERvduxJXVinsdSUREJFu5LF844+5sTOnCebjj/SWs3HPU60jy+xoB25xzO5xz54AJQIcLjHsO+C+QmJXhRESyCxUWkm1t2H+CLkMW8nNSCh/2bUKTikW9jiQiIpItReWPYHzfJkQViKDXyCWs23fc60jy20oDP6S7v9e/7RdmVh8o45z7/LcOZGZ3mdkyM1uWkJCQ+UlFRDykwkKypeW7j9B12ELCfMbEu5tSK6aQ15FERESyteIFI/ngzsYUiAyj53uL2fzjSa8jyZ9kZiHAa8DDvzfWOTfMORfvnIuPjo4OfDgRkSykwkKynblbEugxYglF80fwcb+mVC6W3+tIIiIiOULMZXn54M7GhPlC6D5iMTsSTnkdSS5sH1Am3f0Y/7bzCgA1gTlmtgtoAkzTwpsiEmxUWEi2MmPtAe4cvZQKUfmYeHdTYi7L63UkERGRHKV8VD7G922Mc45bhy/mhyNnvI4kv7YUiDWzCmYWDnQFpp3f6Zw77pyLcs6Vd86VBxYB7Z1zy7yJKyLiDRUWkm18tHQPA8avoE5MYT68qwnRBSK8jiQiIpIjVS5WgHF3NiYxOYVuwxex/9jPXkeSdJxzycAAYCawEZjonFtvZs+aWXtv04mIZB8qLCRbGPbddv4xeS0tY6MZ26cxhfKEeR1JREQkR6tesiBjezfm+Jkkuo9YzKETutBEduKcm+Gcq+Kcq+Sce96/7Snn3LQLjG2t2RUiEoxUWIinnHO8PHMTL8zYRLvaJRl+Wzx5wn1exxIREckVasUUYlTvhhw8kUj3EYs5fOqs15FEREQumQoL8UxqquPJT9cxaPZ2ujUqy1td6xEeqv8lRUREMlODckV4r1dD9hw5Q8/3lnD8TJLXkURERC6JPh2KJ5JSUnlw4irGLdpDv1aVeOHGmvhCzOtYIiIiuVLTSkUZdls82w6d4rb3l3AyUaWFiIhkfyosJMslJqVw99jlfLpqP/9oW41H/1YNM5UVIiIigdSqSjSDutdn/b7j9B61lDPnkr2OJCIi8ptUWEiWOpGYxG0jlzB78yGev7Em/VtX8jqSiIhI0Lg6rjhvdq3H8t1HuXP0MhKTUryOJCIiclEqLCTLHD51lluHL2LF7qO82bUe3RuX8zqSiIhI0GlXuySvdKnDwh2H6TduOWeTVVqIiEj2pMJCssT+Yz/TZehCth48xfDb4mlfp5TXkURERIJWp/oxvHBjLeZsTuC+D1eSlJLqdSQREZFfUWEhAbcj4RRdhiwk4cRZxvZpzBXVinkdSUREJOh1a1SWp2+IY+b6gzw0cTUpqc7rSCIiIv8jIIWFmUWa2RIzW21m683smQuMKWtms81spZmtMbPr0u17zMy2mdlmM7s2EBkla6zf///au/f4qso73+OfXwjhUpCLBBEIF68IgiAJ6kynWm0relq1reXS2gq1Om21c870csaeTm3HmZ5O25nTnpmxrbbFSy8iWq1MB0svoranKolyUawi4oWLCqKAoMGQPOePbDsxEyTQ7KyVvT/v12u/WHutZ22++5LnSX57rWftYNbV99LY1MyNl5zMjPFDs44kSZIK5v35eC4/awL/vmozf/PT1bRYtJAk5UhlkR53D3B6SmlXRPQGfhcRd6SU7mvT5m+BRSml70TERGAJMK6wPAeYBIwEfh0Rx6SUPMGyh6l/6kU+em09A/tW8sOPncSR1QOyjiRJktr5+KlH0tjUzLd+/Th9e1fw9+ce79W7JEm5UJSCRUopAbsKd3sXbu1L9gk4pLA8CNhcWD4XWJhS2gM8GRHrgBnAvcXIquJY9tgWPvGjBxg5qB8//NhJjBrcL+tIkiRpH/77GUfzalMzV9+9nr6Vvfjbd0/MOpIkScWbwyIiekXESmAL8KuU0v3tmnwZuCAiNtJ6dMWnCutHARvatNtYWNf+8S+JiIaIaNi6dWuX59fB+/dVm7n4+gaOrB7Aoo+fYrFCkqSciwgunzmBC04ew/d/9ySPbN6ZdSRJkopXsEgpNaeUpgKjgRkRcXy7JnOB61JKo4GzgR9GRKfzpJSuSSnVppRqq6uruy64/iQ3Ln+Gv1q4ghPHDOHGS05m2IA+WUeSJEmdEBF89l3HUlVZwaKGDfvfQZKkIiv6VUJSStuBZcDMdpsuAhYV2twL9AWGAZuAmjbtRhfWKee+e/cTfP7WhzjtmGqu/+gMDunbO+tIkiTpAAzuX8WZk0Zw24pNNDY5fZgkKVvFukpIdUQMLiz3A94JPNqu2TPAGYU2x9FasNgKLAbmRESfiBgPHA0sL0ZOdY2UEl/7xaP84x2P8p4TRnL1h2vpV9Ur61iSJOkgzKmrYcerTSxd81zWUSRJZa5YR1gcDiyLiNVAPa1zWPw8Iq6MiHMKbT4DXBwRq4AbgXmp1Rpaj7x4BPgFcKlXCMmv5pbEF372MN+56wk+dNIYvjV7KlWVRT9wR5IkFckpRxxKzdB+3FTvaSGSpGwV6yohq4FpHay/os3yI8Cf72P/rwBfKUY2dZ3X9rbw6UUr+fnqZ/nkaUfyuTOP9TJokiT1cBUVwazpNfzzr9byzLZXGHNo/6wjSZLKlF+F66C8+lozl/ywgZ+vfpbPnzWB/zlzgsUKSZJKxPm1o6kInHxTkpQpCxY6YDsbm/jIgvu5e+1Wvvq+yfzlqUdmHUmSJHWhwwf149Rjqrn5gQ3sbW7JOo4kqUxZsNABeWHXHuZcfR8rN2znX+dOY+6MMVlHkiRJRTC7bgzP79zDPY9vzTqKJKlMWbBQp23a/iqzvnsv61/Yxfc+Usu7p4zMOpIkSSqSM44bzrABVSxc7mkhkqRsWLBQpzy9bTcf+M7v2bprDz+66CROO3Z41pEkSVIR9e5VwftPHM2dj25hy8uNWceRJJUhCxbarxd3v8aFC5bzalMzCy85mdpxQ7OOJEmSusEHamvY25K49cFNWUeRJJUhCxZ6U41NzVxyQwObdzTy/QvrmDRyUNaRJElSNzlq+ADqxg1hUf0GUkpZx5EklRkLFtqnlpbEZ29eRcPTL/Gt2VOZPnZI1pEkSVI3m1Vbw/oXdlP/1EtZR5EklRkLFtqnb/zyMX6++lk+f9YEzp58eNZxJElSBv7blMMZ0KeShfXPZB1FklRmLFioQz+5/xm+c9cTfOikMVzytiOyjiNJkjLSv6qSc6aOZMlDz7KzsSnrOJKkMmLBQv/FXY9t4Yu3P8xpx1bzd+dMIiKyjiTpTUTEzIh4LCLWRcTlHWwfGxG/iYjVEXFXRIwurH97RKxsc2uMiPMK235ceMyHI2JBRPTu7uclKT9m19bQ2NTC4pWbs44iSSojFiz0Bo9s3smlP36QYw8byL998EQqe/kRkfIsInoBVwFnAROBuRExsV2zfwJuSClNAa4EvgqQUlqWUpqaUpoKnA68AvyysM+PgQnAZKAf8LFiPxdJ+TVl9CAmjBjIooYNWUeRJJUR/xrVHz2741U+el09h/TrzYJ5dQzoU5l1JEn7NwNYl1Jan1J6DVgInNuuzUTgzsLysg62A5wP3JFSegUgpbQkFQDLgdFFSS+pR4gIZtfVsHrjDh7ZvDPrOJKkMmHBQgC83NjE/Gvr2bVnLwvm1TFiUN+sI0nqnFFA2688NxbWtbUKeF9h+b3AwIg4tF2bOcCN7R+8cCrIh4FfdPSfR8QlEdEQEQ1bt249iPiSeor3ThtFVWWFR1lIkrqNBQvR1NzCpT9ZweNbdvHtD53IcYcfknUkSV3rs8CpEbECOBXYBDS/vjEiDqf11I+lHez7beCelNJvO3rglNI1KaXalFJtdXV11yeXlBuD+1dx5qQR3LZiE41NzfvfQZKkP5EFizKXUuKK2x/mnrVb+cp5x/O2Y/yDQ+phNgE1be6PLqz7o5TS5pTS+1JK04AvFNZtb9NkFnBbSukN0/9HxJeAauDTxQguqeeZU1fDjlebWLrmuayjSJLKgAWLMvfdu9dz4/INXPr2I5kzY0zWcSQduHrg6IgYHxFVtJ7asbhtg4gYFhGv9/efBxa0e4y5tDsdJCI+BpwJzE0ptRQluaQe55QjDqVmaD9uqve0EElS8VmwKGP/vmozX/vFo5xzwkg+885js44j6SCklPYCl9F6OscfgEUppTURcWVEnFNodhrwWESsBQ4DvvL6/hExjtYjNO5u99DfLbS9t3DJ0yuK+Twk9QwVFcGs6TX8/oltPL1td9ZxJEklzstAlKn6p17kMzevYsa4oXzjA1OoqIisI0k6SCmlJcCSduuuaLN8C3DLPvZ9iv86SScpJccHSR06v3Y03/z1Wm5u2Mhnz/QLD0lS8XiERRl68oXdXHxDA6MH9+PqD0+nT2WvrCNJkqQe4vBB/Tj1mGpufmADe5s9Y0ySVDwWLMrMi7tfY/61y6mI4Nr5dQx5S1XWkSRJUg8zu24Mz+/cwz2PezljSVLxWLAoI41NzVx8QwPP7mjkex+pZeyhb8k6kiRJ6oHOOG44wwZUsXC5k29KkorHgkWZaGlJfObmVTzw9Et8c/ZUpo8dknUkSZLUQ/XuVcH7TxzNnY9uYcvLjVnHkSSVKAsWZeLrSx/jP1Y/y/86ewJnTz486ziSJKmHm1VXw96WxK0Pbso6iiSpRFmwKAM/vv9pvnv3E1xw8hgu/osjso4jSZJKwJHVA6gbN4RF9RtIKWUdR5JUgixYlLhlj23hitvX8PZjq/nyeyYR4eVLJUlS15hdN4b1L+ym/qmXso4iSSpBFixK2JrNO7jsxw8yYcRA/u2DJ1LZy7dbkiR1nbMnj2BAn0oW1j+TdRRJUgnyL9gS9eyOV/nodfUc0q83C+bV8ZY+lVlHkiRJJaZ/VSXnTB3JkoeeZWdjU9ZxJEklpigFi4joGxHLI2JVRKyJiL/roM03I2Jl4bY2Ira32dbcZtviYmQsZS83NjH/2np272nm2vl1HHZI36wjSZKkEjW7tobGphYWr9ycdRRJUokp1tfue4DTU0q7IqI38LuIuCOldN/rDVJKf/36ckR8CpjWZv9XU0pTi5StpDU1t3DpT1awbssurp1fx4QRh2QdSZIklbApowcxYcRAFjVs4IKTx2YdR5JUQopyhEVqtatwt3fh9mbTR88FbixGlnKSUuKLP3uYe9Zu5SvvPZ6/OLo660iSJKnERQSz62pYvXEHazbvyDqOJKmEFG0Oi4joFRErgS3Ar1JK9++j3VhgPHBnm9V9I6IhIu6LiPOKlbHUfOfuJ1hYv4HL3n4Us+vGZB1HkiSVifdOG0VVZQWL6jdkHUWSVEKKVrBIKTUXTusYDcyIiOP30XQOcEtKqbnNurEppVrgg8C3IuLI9jtFxCWFokbD1q1buzx/T7N41Wa+/ovHOHfqSD7zrmOyjiNJksrI4P5VzJw0gttWbKKxqXn/O0iS1AlFv0pISmk7sAyYuY8mc2h3OkhKaVPh3/XAXbxxfovX21yTUqpNKdVWV5f3qQ/1T73IZxetYsa4oXz9/ClERNaRJElSmZldV8POxr0sXfNc1lEkSSWiWFcJqY6IwYXlfsA7gUc7aDcBGALc22bdkIjoU1geBvw58EgxcpaC9Vt3cfENDYwe2o9rPjKdPpW9so4kSZLK0ClHHErN0H7c5GkhkqQuUqwjLA4HlkXEaqCe1jksfh4RV0bEOW3azQEWppTaTsh5HNAQEatoPTLjH1NKFiw6sG3XHuZfV09FBNfOq2Nw/6qsI0mSpDJVURHMml7D75/YxtPbdmcdR5JUAopyWdOU0mo6Po3jinb3v9xBm98Dk4uRq5Q0NjVz8Q0NPLejkZ9cfDJjD31L1pEkSVKZO792NN/89VpubtjIZ888Nus4kqQeruhzWKjrtbQkPr1oJSs2bOdbs6cyfeyQrCNJkiRx+KB+nHpMNTc/sIG9zS1Zx5Ek9XAWLHqgry19lCUPPcf/Ous4zpp8eNZxJEmS/mh23Rie37mHex73Km6SpD+NBYse5kf3Pc3Vd6/nwyeP5WN/MT7rOJIkSW9wxnFosEGBAAAYA0lEQVTDGTagioXLnXzzzUTEzIh4LCLWRcTlHWz/dEQ8EhGrI+I3ETE2i5ySlCULFj3Iske3cMXtD3P6hOF86T0TvXypJEnKnd69Knj/iaP5zaNb2PJyY9ZxcikiegFXAWcBE4G5ETGxXbMVQG1KaQpwC/D17k0pSdmzYNFDPLxpB5f+5EGOO/wQ/nXuNCp7+dZJkqR8mlVXQ3NL4tYHN2UdJa9mAOtSSutTSq8BC4Fz2zZIKS1LKb1SuHsfMLqbM0pS5vyrtwfYvP1VLrq+nsH9erNgXh1v6VOUi7tIkiR1iSOrB1A3bgiL6jfwxqvXq2AU0PacmY2FdftyEXBHURNJUg5ZsMi5lxub+Oh19byyp5kF8+s47JC+WUeSJEnar9l1Y1j/wm7qn3op6yg9WkRcANQC39jH9ksioiEiGrZudaJTSaXFgkWONTW38MkfP8i6Lbv4zgXTmTDikKwjSZIkdcrZk0cwoE8lC+ufyTpKHm0CatrcH11Y9wYR8Q7gC8A5KaU9HT1QSumalFJtSqm2urq6KGElKSsWLHIqpcQXf/Ywv338Bf73eyfz1qOHZR1JkiSp0/pXVXLO1JEseehZdjY2ZR0nb+qBoyNifERUAXOAxW0bRMQ04GpaixVbMsgoSZmzYJFT377rCRbWb+BTpx/FrLqa/e8gSZKUM7Nra2hsamHxys1ZR8mVlNJe4DJgKfAHYFFKaU1EXBkR5xSafQMYANwcESsjYvE+Hk6SSpazN+bQ7Ss38Y2lj3Hu1JF8+p3HZB1HkiTpoEwZPYgJIwZyU/0GLjh5bNZxciWltARY0m7dFW2W39HtoSQpZzzCImeWP/kin7t5NTPGD+Xr508hIrKOJEmSdFAigjl1NTy0aQdrNu/IOo4kqYexYJEj67bs4uIbGhg9tB/XfHg6fSp7ZR1JkiTpT3LetFFUVVawqH7D/htLktSGBYuc2PJyIxcuWE7vXsH182cwuH9V1pEkSZL+ZIP7VzFz0ghuW7GJxqbmrONIknoQCxY5sHvPXj56XT0v7n6NBfPqqBnaP+tIkiRJXWZ2XQ07G/eydM1zWUeRJPUgFiwytre5hUt/8iCPbN7JVR+axpTRg7OOJEmS1KVOOeJQaob24yZPC5EkHQALFhlKKfG3P3uYux7byj+cN5nTJxyWdSRJkqQuV1ERzJpew++f2MbT23ZnHUeS1ENYsMjQv925joX1G7js7UfxwZPGZB1HkiSpaM6vHU1FwM0NG7OOIknqISxYZOSWBzbyz79ay/tOHMVn3nVM1nEkSZKK6vBB/Tjt2OHc/MAG9ja3ZB1HktQDWLDIwG8f38rlP13NW48axj++bwoRkXUkSZKkoptVW8PzO/dw99qtWUeRJPUAFiy62SObd/KJHz3IUcMH8O0LTqSq0rdAkiSVhzOOG86wAVVOvilJ6hT/Wu5Gm7a/yvzrljOwbyXXzZ/BIX17Zx1JkiSp2/TuVcH7TxzNbx7dwpaXG7OOI0nKOQsW3WTHq03Mv3Y5r7zWzHXzZzBiUN+sI0mSJHW7WXU1NLckbn1wU9ZRJEk5Z8GiG+zZ28xf/rCBJ1/YzdUfns6xIwZmHUmSJCkTR1YPoG7cEBbVbyCllHUcSVKOWbAospaWxOduXs1961/knz5wAn925LCsI0mSJGVqdt0Y1r+wm/qnXso6iiQpxyxYFNnXlz7G4lWb+Z8zj+XcqaOyjiNJkpS5syePYECfShbWP5N1FElSjlmwKKIb7n2K7979BBecPIZPnHpk1nEkSZJyoX9VJedMHcmSh55lZ2NT1nEkSTllwaJIfrnmOb68eA3vOG44X37PJCIi60iSJEm5MaeuhsamFhav3Jx1FElSTlmwKIIVz7zEXy1cweTRg/mXudOo7OXLLEmS1NbkUYOYMGIgN9VvyDqKJCmnivKXdET0jYjlEbEqItZExN910OabEbGycFsbEdvbbLswIh4v3C4sRsZieeqF3Vx0fQPDB/blBxfW0r+qMutIkiRJuRMRzKmr4aFNO1izeUfWcSRJOVSsr/73AKenlE4ApgIzI+Lktg1SSn+dUpqaUpoK/CtwK0BEDAW+BJwEzAC+FBFDipSzS23btYcLr11OSonrPzqDYQP6ZB1JUhmIiJkR8VhErIuIyzvYPjYifhMRqyPirogYXVj/9jaF45UR0RgR5xW2jY+I+wuPeVNEVHX385JU+s6bNoqqygoWeZSFJKkDRSlYpFa7Cnd7F25vdqHtucCNheUzgV+llF5MKb0E/AqYWYycXenV15q56PoGntvRyA/m1TF+2FuyjiSpDEREL+Aq4CxgIjA3Iia2a/ZPwA0ppSnAlcBXAVJKy9oUjk8HXgF+Wdjna8A3U0pHAS8BFxX9yUgqO4P7VzFz0ghuW7GJxqbmrONIknKmaJMrRESviFgJbKG1AHH/PtqNBcYDdxZWjQLaltk3FtblVnNL4q8WrmDVxu38y9xpnDimRxwQIqk0zADWpZTWp5ReAxYC57ZrM5H/7GOXdbAd4HzgjpTSK9E6S/DpwC2FbdcD53V5ckkCZtfVsLNxL0vXPJd1FElSzhStYJFSai58azcamBERx++j6RzglpTSAZXVI+KSiGiIiIatW7f+qXEPWkqJv/v3Nfzqkef58nsmceakEZllkVSWOlPkXQW8r7D8XmBgRBzars0c/vNIt0OB7SmlvW/ymEB++mJJPdcpRxxKzdB+Tr4pSfovin75ipTSdlq/0dvXaR1tf0kG2ATUtLk/urCu/eNek1KqTSnVVldXd1XcA3bNPeu54d6n+cu3HcGFfzYusxyS9CY+C5waESuAU2ntU/9YJI6Iw4HJwNIDfeC89MWSeq6KimB2bQ2/f2IbT2/bnXUcSVKOFOsqIdURMbiw3A94J/BoB+0mAEOAe9usXgq8KyKGFCbbfBcH8Ut0d7h95Sa+esejvOeEkfzNzAlZx5FUnvZb5E0pbU4pvS+lNA34QmHd9jZNZgG3pZSaCve3AYMj4vXLHHVYOJakrnL+9BoqAhY1eJSFJOk/FesIi8OBZRGxGqindQ6Ln0fElRFxTpt2c4CFKaU/TsiZUnoR+PvCfvXAlYV1uXLvE9v43M2rOWn8UP7pA1OoqIisI0kqT/XA0YWrelTR2q8ubtsgIoZFxOv9/eeBBe0eo+3ExxT65GW0zmsBcCFwexGySxIAIwb15bRjh3PLAxvZ29ySdRxJUk5U7r/JgUsprQamdbD+inb3v7yP/RfwX3+hzo21z7/MJT9sYOyh/bnmw7X0qeyVdSRJZSqltDciLqP1SLRewIKU0pqIuBJoSCktBk4DvhoRCbgHuPT1/SNiHK1HaNzd7qH/BlgYEf8ArAB+UOSnIqnMzaqt4eM/2sLda7dyxnGHZR1HkpQDRSlYlLLndzYyb8Fy+vXuxbXz6xjUv3fWkSSVuZTSEmBJu3VXtFm+hf+84kf7fZ+igwk1U0rrab0CiSR1izOOG86wAVXcVL/BgoUkCeiGSTdLycuNTcy7tp4drzZx7fw6Rg/pn3UkSZKkktC7VwXvP3E0v3l0C1tebsw6jiQpByxYdFJTcwuf/PGDPP78y3zngulMGjko60iSJEklZVZdDc0tiVsfdJ5fSZIFi05JKXH5Tx/it4+/wFffN5m3HeOl+yRJkrrakdUDqBs3hJvqN9BmTnZJUpmyYNEJ3/z14/z0wY389TuO4QO1NfvfQZIkSQdldt0YnnxhN8ufzN1F4iRJ3cyCxX4sXP4M//Kbx5ldW8NfnXFU1nEkSZJK2tmTRzCwTyU3NWzIOookKWMWLN7Esse28IWfPcypx1TzD+89nojIOpIkSVJJ619VyXumjmTJQ8+ys7Ep6ziSpAxZsNiHhzbu4NIfP8iEEQO56kMn0ruXL5UkSVJ3mFNXQ2NTC4tXbs46iiQpQ/4V3oENL77C/OvqGdK/imvn1TGgT2XWkSRJksrG5FGDmDBiIDfVe1qIJJUzCxbtbH/lNS68djlNzS1c/9E6hh/SN+tIkiRJZSUimFNXw0ObdrBm846s40iSMmLBoo3GpmYuvqGBjS++yvc+UstRwwdmHUmSJKksnTdtFFWVFSzyKAtJKlsWLApaWhKfWbSK+qde4v/MPoEZ44dmHUmSJKlsDe5fxcxJI7htxSYam5qzjiNJyoAFi4L/veQP/MdDz/KFs4/j3VNGZh1HkiSp7M2pq2Fn416Wrnku6yiSpAxYsAAW/O5Jvv+7J5n3Z+P42F+MzzqOJEmSgJOPOJSaof1YuNzTQiSpHJV9weKOh57l7//jEc6cdBhffPdEIiLrSJIkSQIqKoLZtTXcu34bT2/bnXUcSVI3K+uCRcNTL/I/blrJtJrB/N850+hVYbFCkiQpT86fXkNFwKIGj7KQpHJTtgWLJ7bu4mM3NDBycD++f2EdfXv3yjqSJEmS2hkxqC+nHTucWx7YyN7mlqzjSJK6UVkWLLa+vId51y6nsiK4fv4Mhr6lKutIkiRJ2odZtTU8v3MPd6/dmnUUSVI3qsw6QBZaUuKwgX354rsnMubQ/lnHkSRJ0ps447jhzBg3lL0tKesokqRuVJYFi8MO6cvNHz/FCTYlSZJ6gN69Klj08VOyjiFJ6mZleUoIYLFCkiRJkqQcK9uChSRJkiRJyi8LFpIkSZIkKXcsWEiSJEmSpNyxYCFJkiRJknLHgoUkSZIkScodCxaSJEmSJCl3LFhIkiRJkqTcsWAhSZIkSZJyx4KFJEmS1M0iYmZEPBYR6yLi8g6294mImwrb74+Icd2fUpKyZcFCkiRJ6kYR0Qu4CjgLmAjMjYiJ7ZpdBLyUUjoK+Cbwte5NKUnZs2AhSZIkda8ZwLqU0vqU0mvAQuDcdm3OBa4vLN8CnBER0Y0ZJSlzFiwkSZKk7jUK2NDm/sbCug7bpJT2AjuAQ7slnSTlRGXWAbrCAw888EJEPH0Quw4DXujqPF3AXAcur9nMdeDymu1gc43t6iB5dZB9cam9390hr9nymgvym81cB+5gspV0PxwRlwCXFO7uiYiHs8zTjfL8Oe1qPtfSVU7P99iD2akkChYppeqD2S8iGlJKtV2d509lrgOX12zmOnB5zZbXXHlyMH1xXl/XvOaC/GbLay7IbzZzHbg8ZztAm4CaNvdHF9Z11GZjRFQCg4Bt7R8opXQNcA2U1OuzXz7X0lROzxXK6/lGRMPB7OcpIZIkSVL3qgeOjojxEVEFzAEWt2uzGLiwsHw+cGdKKXVjRknKXEkcYSFJkiT1FCmlvRFxGbAU6AUsSCmtiYgrgYaU0mLgB8API2Id8CKtRQ1JKivlXrC4JusA+2CuA5fXbOY6cHnNltdcPV1eX9e85oL8ZstrLshvNnMduDxnOyAppSXAknbrrmiz3Ah84AAftmRen07wuZamcnquUF7P96Cea3hkmSRJkiRJyhvnsJAkSZIkSblT8gWLiJgZEY9FxLqIuLyD7Z+OiEciYnVE/CYiuu3SV/vL1qbd+yMiRUS3zCDbmVwRMavwuq2JiJ/kIVdEjImIZRGxovB+nt1NuRZExJZ9XUYsWv1LIffqiDixO3J1MtuHCpkeiojfR8QJecjVpl1dROyNiPPzkisiTouIlYXP/t3dkasU5LUvzms/3Nls9sVv+H9z2RfntR/uTLY27eyLc6YTP4d9IuKmwvb7I2Jc96fsGnkdP4ohz2NSV8vrGFcMeR03i6EoY3FKqWRvtE5i9ARwBFAFrAImtmvzdqB/YfkTwE15yVZoNxC4B7gPqM1DLuBoYAUwpHB/eE5yXQN8orA8EXiqm97LtwEnAg/vY/vZwB1AACcD93dHrk5m+7M27+NZ3ZVtf7navOd30np+7/l5yAUMBh4BxhTuF/2zXwq3vPbFee2HD+A1sy9+4/+by744r/1wZ7K1ec/ti3N06+TP4SeB7xaW53RHn5rhc83kd/ksnmuhXbePSRm9r90+xmX4XDMZN4v0fLt8LC71IyxmAOtSSutTSq8BC4Fz2zZIKS1LKb1SuHsfrdfBzkW2gr8HvgY05ijXxcBVKaWXAFJKW3KSKwGHFJYHAZu7IRcppXtonb17X84Fbkit7gMGR8TheciWUvr96+8j3fj578RrBvAp4KdAd3y+gE7l+iBwa0rpmUL7bsvWw+W1L85rP9zZbPbFbf/TnPbFee2HC/+3fXHP1Jmfw3OB6wvLtwBnRER0Y8auktfxoxjyPCZ1tbyOccWQ23GzGIoxFpd6wWIUsKHN/Y2FdftyEa0Vn+6w32yFQ2RqUkr/0U2ZOpULOAY4JiL+X0TcFxEzc5Lry8AFEbGR1m+CPtUNuTrjQD+HWenOz/+biohRwHuB72SdpZ1jgCERcVdEPBARH8k6UA+R1744r/0w2BcXQ0/oi3PTD4N9cY515rP8xzYppb3ADuDQbknXtfI6fhRDnsekrpbXMa4YevK4WQwHPBaX+2VN/ygiLgBqgVOzzgIQERXA/wHmZRylI5W0HqZ1Gq1V7HsiYnJKaXumqWAucF1K6Z8j4hRar11+fEqpJeNcuRcRb6d1kH9r1lkKvgX8TUqpJWdfCFUC04EzgH7AvRFxX0ppbbaxSkee+uKc98NgX1xSctgPg32xepA8jR/F0APGpK6W1zGuGBw330SpFyw2ATVt7o8urHuDiHgH8AXg1JTSnpxkGwgcD9xV+CVhBLA4Is5JKTVkmAtaK2H3p5SagCcjYi2tHUp9xrkuAmYCpJTujYi+wDC68TDWfejU5zArETEF+D5wVkppW9Z5CmqBhYXP/jDg7IjYm1L6Wbax2AhsSyntBnZHxD3ACYC/JL+5vPbFee2HO5MN7IsPVG774pz2w2BfnFed+Sy/3mZjRFTSeph5nj5bnZXX8aMY8jwmdbW8jnHF0JPHzWI44LG41E8JqQeOjojxEVFF66RDi9s2iIhpwNXAOd18btSbZksp7UgpDUspjUspjaP1nLzu6JD2+5oBP6O12klEDKP1kK31Ocj1DK3fthARxwF9ga1FztUZi4GPFGbFPRnYkVJ6NutQ0DorMXAr8OE8fTOVUhrf5rN/C/DJHPyCDHA78NaIqIyI/sBJwB8yztQT5LUvzms/vN9sBfbFByaXfXFe+2GwL86xzvwcLgYuLCyfD9yZUuuMdz1MXsePYsjzmNTV8jrGFUNPHjeL4YDH4pI+wiKltDciLgOW0jpD64KU0pqIuBJoSCktBr4BDABuLlQrn0kpnZOTbN2uk7mWAu+KiEeAZuBzxf5GqJO5PgN8LyL+mtbJa+Z1x+AcETfS2qEOK5x79iWgdyH3d2k9F+1sYB3wCjC/2JkOINsVtJ7T+u3C539vSqnol8jqRK5M7C9XSukPEfELYDXQAnw/pfSmlwNUfvvivPbDB5DNvriNvPbFee2HO5ktE/bFb66TP4c/oPWw8nW0ToA3J7vEBy+v40cx5HlM6mp5HeOKIc/jZjEUYyyOHvpaSJIkSZKkElbqp4RIkiRJkqQeyIKFJEmSJEnKHQsWkiRJkiQpdyxYSJIkSZKk3LFgIUmSJEmScseChUpeRJwXESkiJhTuj4uIN738WWfaSJI6x35YkiQdDAsWKgdzgd8V/pUkdT/7YUmSdMAsWKikRcQA4K3ARcCcDrbPi4jbI+KuiHg8Ir7UZnOviPheRKyJiF9GRL/CPhdHRH1ErIqIn0ZE/+55NpLU89gPS5Kkg2XBQqXuXOAXKaW1wLaImN5BmxnA+4EpwAcioraw/mjgqpTSJGB7oQ3ArSmlupTSCcAfaP0lXJLUMfthSZJ0UCxYqNTNBRYWlhfS8eHIv0opbUspvQrcSus3gQBPppRWFpYfAMYVlo+PiN9GxEPAh4BJRUkuSaXBfliSJB2UyqwDSMUSEUOB04HJEZGAXkACrmrXNO3j/p4265qBfoXl64DzUkqrImIecFrXpZak0mE/LEmS/hQeYaFSdj7ww5TS2JTSuJRSDfAkUNOu3TsjYmjh3OjzgP+3n8cdCDwbEb1p/WZPktQx+2FJknTQLFiolM0Fbmu37qfA59utW15Yvxr4aUqpYT+P+0Xgflp/oX60C3JKUqmyH5YkSQctUmp/FKZUPgqHEtemlC7LOosklSP7YUmStC8eYSFJkiRJknLHIywkSZIkSVLueISFJEmSJEnKHQsWkiRJkiQpdyxYSJIkSZKk3LFgIUmSJEmScseChSRJkiRJyh0LFpIkSZIkKXf+Pw7IZ1t5C6ZQAAAAAElFTkSuQmCC\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 1296x3024 with 18 Axes>"
+       "<matplotlib.figure.Figure at 0x7fd89561d7f0>"
       ]
      },
      "metadata": {
@@ -577,7 +577,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -586,41 +586,34 @@
      "text": [
       "  0%|          | 0/10 [00:00<?, ?it/s]\n",
       "0it [00:00, ?it/s]\u001b[A\n",
-      "458it [00:00, 4578.48it/s]\u001b[A\n",
-      "943it [00:00, 4542.31it/s]\u001b[A\n",
-      " 10%|█         | 1/10 [00:19<02:58, 19.88s/it]\n",
+      "943it [00:00, 8868.94it/s]\u001b[A\n",
+      " 10%|█         | 1/10 [00:09<01:28,  9.79s/it]\n",
       "0it [00:00, ?it/s]\u001b[A\n",
-      "463it [00:00, 4623.79it/s]\u001b[A\n",
-      "943it [00:00, 4327.22it/s]\u001b[A\n",
-      " 20%|██        | 2/10 [00:38<02:36, 19.53s/it]\n",
+      "943it [00:00, 8891.53it/s]\u001b[A\n",
+      " 20%|██        | 2/10 [00:19<01:18,  9.78s/it]\n",
       "0it [00:00, ?it/s]\u001b[A\n",
-      "450it [00:00, 4493.26it/s]\u001b[A\n",
-      "943it [00:00, 4423.59it/s]\u001b[A\n",
-      " 30%|███       | 3/10 [00:57<02:15, 19.30s/it]\n",
+      "943it [00:00, 8088.73it/s]\u001b[A\n",
+      " 30%|███       | 3/10 [00:29<01:08,  9.79s/it]\n",
       "0it [00:00, ?it/s]\u001b[A\n",
-      "943it [00:00, 4799.99it/s]\u001b[A\n",
-      " 40%|████      | 4/10 [01:16<01:55, 19.19s/it]\n",
+      "943it [00:00, 8451.02it/s]\u001b[A\n",
+      " 40%|████      | 4/10 [00:39<00:58,  9.80s/it]\n",
       "0it [00:00, ?it/s]\u001b[A\n",
-      "213it [00:00, 2129.95it/s]\u001b[A\n",
-      "943it [00:00, 3465.43it/s]\u001b[A\n",
-      " 50%|█████     | 5/10 [01:34<01:34, 19.00s/it]\n",
+      "943it [00:00, 8600.04it/s]\u001b[A\n",
+      " 50%|█████     | 5/10 [00:49<00:49,  9.88s/it]\n",
       "0it [00:00, ?it/s]\u001b[A\n",
-      "393it [00:00, 3924.08it/s]\u001b[A\n",
-      "943it [00:00, 4149.53it/s]\u001b[A\n",
-      " 60%|██████    | 6/10 [01:53<01:15, 18.96s/it]\n",
+      "943it [00:00, 8875.99it/s]\u001b[A\n",
+      " 60%|██████    | 6/10 [00:58<00:39,  9.82s/it]\n",
       "0it [00:00, ?it/s]\u001b[A\n",
-      "459it [00:00, 4583.01it/s]\u001b[A\n",
-      "943it [00:00, 4424.21it/s]\u001b[A\n",
-      " 70%|███████   | 7/10 [02:12<00:56, 18.76s/it]\n",
+      "943it [00:00, 8967.39it/s]\u001b[A\n",
+      " 70%|███████   | 7/10 [01:08<00:29,  9.78s/it]\n",
       "0it [00:00, ?it/s]\u001b[A\n",
-      "943it [00:00, 4770.55it/s]\u001b[A\n",
-      " 80%|████████  | 8/10 [02:30<00:37, 18.69s/it]\n",
+      "943it [00:00, 8853.26it/s]\u001b[A\n",
+      " 80%|████████  | 8/10 [01:18<00:19,  9.78s/it]\n",
       "0it [00:00, ?it/s]\u001b[A\n",
-      "943it [00:00, 5007.72it/s]\u001b[A\n",
-      " 90%|█████████ | 9/10 [02:49<00:18, 18.69s/it]\n",
-      "0it [00:00, ?it/s]\u001b[A\n",
-      "943it [00:00, 5210.56it/s]\u001b[A\n",
-      "100%|██████████| 10/10 [03:07<00:00, 18.79s/it]\n"
+      "943it [00:00, 9016.27it/s]\u001b[A\n",
+      " 90%|█████████ | 9/10 [01:28<00:09,  9.92s/it]\n",
+      "943it [00:00, 9544.19it/s]\n",
+      "100%|██████████| 10/10 [01:38<00:00,  9.86s/it]\n"
      ]
     },
     {
@@ -917,7 +910,7 @@
        "0  0.580064      0.800106       0.415584  5.563910  0.857396  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -943,16 +936,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 9,
    "metadata": {
     "scrolled": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 1296x3024 with 18 Axes>"
+       "<matplotlib.figure.Figure at 0x7fd894586dd8>"
       ]
      },
      "metadata": {
@@ -987,7 +980,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1019,148 +1012,148 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>25689</th>\n",
-       "      <td>645</td>\n",
+       "      <th>66489</th>\n",
+       "      <td>344</td>\n",
        "      <td>5</td>\n",
-       "      <td>Citizen Kane (1941)</td>\n",
+       "      <td>Postino, Il (1994)</td>\n",
+       "      <td>Drama, Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15966</th>\n",
+       "      <td>344</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Godfather, The (1972)</td>\n",
+       "      <td>Action, Crime, Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50067</th>\n",
+       "      <td>344</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Mrs. Brown (Her Majesty, Mrs. Brown) (1997)</td>\n",
+       "      <td>Drama, Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65435</th>\n",
+       "      <td>344</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Speed (1994)</td>\n",
+       "      <td>Action, Romance, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50396</th>\n",
+       "      <td>344</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Close Shave, A (1995)</td>\n",
+       "      <td>Animation, Comedy, Thriller</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13793</th>\n",
+       "      <td>344</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Local Hero (1983)</td>\n",
+       "      <td>Comedy</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25784</th>\n",
+       "      <td>344</td>\n",
+       "      <td>5</td>\n",
+       "      <td>Dead Man Walking (1995)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>46234</th>\n",
-       "      <td>645</td>\n",
+       "      <th>15447</th>\n",
+       "      <td>344</td>\n",
        "      <td>5</td>\n",
-       "      <td>Miller's Crossing (1990)</td>\n",
-       "      <td>Drama</td>\n",
+       "      <td>Blade Runner (1982)</td>\n",
+       "      <td>Film-Noir, Sci-Fi</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>29481</th>\n",
-       "      <td>645</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Psycho (1960)</td>\n",
-       "      <td>Horror, Romance, Thriller</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29861</th>\n",
-       "      <td>645</td>\n",
-       "      <td>5</td>\n",
-       "      <td>To Kill a Mockingbird (1962)</td>\n",
-       "      <td>Drama</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24699</th>\n",
-       "      <td>645</td>\n",
+       "      <th>24693</th>\n",
+       "      <td>344</td>\n",
        "      <td>5</td>\n",
        "      <td>One Flew Over the Cuckoo's Nest (1975)</td>\n",
        "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>64848</th>\n",
-       "      <td>645</td>\n",
+       "      <th>67385</th>\n",
+       "      <td>344</td>\n",
        "      <td>5</td>\n",
-       "      <td>Taxi Driver (1976)</td>\n",
-       "      <td>Drama, Thriller</td>\n",
+       "      <td>Good Will Hunting (1997)</td>\n",
+       "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>31022</th>\n",
-       "      <td>645</td>\n",
+       "      <th>55907</th>\n",
+       "      <td>344</td>\n",
        "      <td>5</td>\n",
-       "      <td>GoodFellas (1990)</td>\n",
-       "      <td>Crime, Drama</td>\n",
+       "      <td>My Life as a Dog (Mitt liv som hund) (1985)</td>\n",
+       "      <td>Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23585</th>\n",
-       "      <td>645</td>\n",
+       "      <th>23403</th>\n",
+       "      <td>344</td>\n",
        "      <td>5</td>\n",
-       "      <td>Casablanca (1942)</td>\n",
-       "      <td>Drama, Romance, War</td>\n",
+       "      <td>Eat Drink Man Woman (1994)</td>\n",
+       "      <td>Comedy, Drama</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>18551</th>\n",
-       "      <td>645</td>\n",
+       "      <th>18500</th>\n",
+       "      <td>344</td>\n",
        "      <td>5</td>\n",
        "      <td>Amadeus (1984)</td>\n",
        "      <td>Drama, Mystery</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>40333</th>\n",
-       "      <td>645</td>\n",
+       "      <th>23038</th>\n",
+       "      <td>344</td>\n",
        "      <td>5</td>\n",
-       "      <td>Exotica (1994)</td>\n",
-       "      <td>Drama</td>\n",
+       "      <td>Apt Pupil (1998)</td>\n",
+       "      <td>Drama, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>42006</th>\n",
-       "      <td>645</td>\n",
+       "      <th>57898</th>\n",
+       "      <td>344</td>\n",
        "      <td>5</td>\n",
-       "      <td>Dr. Strangelove or: How I Learned to Stop Worr...</td>\n",
-       "      <td>Sci-Fi, War</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27477</th>\n",
-       "      <td>645</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Young Frankenstein (1974)</td>\n",
-       "      <td>Comedy, Horror</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>43025</th>\n",
-       "      <td>645</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2001: A Space Odyssey (1968)</td>\n",
-       "      <td>Drama, Mystery, Sci-Fi, Thriller</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12217</th>\n",
-       "      <td>645</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Graduate, The (1967)</td>\n",
-       "      <td>Drama, Romance</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>42731</th>\n",
-       "      <td>645</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Brazil (1985)</td>\n",
-       "      <td>Sci-Fi</td>\n",
+       "      <td>Wrong Trousers, The (1993)</td>\n",
+       "      <td>Animation, Comedy</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "       user  rating                                              title  \\\n",
-       "25689   645       5                                Citizen Kane (1941)   \n",
-       "46234   645       5                           Miller's Crossing (1990)   \n",
-       "29481   645       5                                      Psycho (1960)   \n",
-       "29861   645       5                       To Kill a Mockingbird (1962)   \n",
-       "24699   645       5             One Flew Over the Cuckoo's Nest (1975)   \n",
-       "64848   645       5                                 Taxi Driver (1976)   \n",
-       "31022   645       5                                  GoodFellas (1990)   \n",
-       "23585   645       5                                  Casablanca (1942)   \n",
-       "18551   645       5                                     Amadeus (1984)   \n",
-       "40333   645       5                                     Exotica (1994)   \n",
-       "42006   645       5  Dr. Strangelove or: How I Learned to Stop Worr...   \n",
-       "27477   645       5                          Young Frankenstein (1974)   \n",
-       "43025   645       5                       2001: A Space Odyssey (1968)   \n",
-       "12217   645       5                               Graduate, The (1967)   \n",
-       "42731   645       5                                      Brazil (1985)   \n",
+       "       user  rating                                        title  \\\n",
+       "66489   344       5                           Postino, Il (1994)   \n",
+       "15966   344       5                        Godfather, The (1972)   \n",
+       "50067   344       5  Mrs. Brown (Her Majesty, Mrs. Brown) (1997)   \n",
+       "65435   344       5                                 Speed (1994)   \n",
+       "50396   344       5                        Close Shave, A (1995)   \n",
+       "13793   344       5                            Local Hero (1983)   \n",
+       "25784   344       5                      Dead Man Walking (1995)   \n",
+       "15447   344       5                          Blade Runner (1982)   \n",
+       "24693   344       5       One Flew Over the Cuckoo's Nest (1975)   \n",
+       "67385   344       5                     Good Will Hunting (1997)   \n",
+       "55907   344       5  My Life as a Dog (Mitt liv som hund) (1985)   \n",
+       "23403   344       5                   Eat Drink Man Woman (1994)   \n",
+       "18500   344       5                               Amadeus (1984)   \n",
+       "23038   344       5                             Apt Pupil (1998)   \n",
+       "57898   344       5                   Wrong Trousers, The (1993)   \n",
        "\n",
-       "                                 genres  \n",
-       "25689                             Drama  \n",
-       "46234                             Drama  \n",
-       "29481         Horror, Romance, Thriller  \n",
-       "29861                             Drama  \n",
-       "24699                             Drama  \n",
-       "64848                   Drama, Thriller  \n",
-       "31022                      Crime, Drama  \n",
-       "23585               Drama, Romance, War  \n",
-       "18551                    Drama, Mystery  \n",
-       "40333                             Drama  \n",
-       "42006                       Sci-Fi, War  \n",
-       "27477                    Comedy, Horror  \n",
-       "43025  Drama, Mystery, Sci-Fi, Thriller  \n",
-       "12217                    Drama, Romance  \n",
-       "42731                            Sci-Fi  "
+       "                            genres  \n",
+       "66489               Drama, Romance  \n",
+       "15966         Action, Crime, Drama  \n",
+       "50067               Drama, Romance  \n",
+       "65435    Action, Romance, Thriller  \n",
+       "50396  Animation, Comedy, Thriller  \n",
+       "13793                       Comedy  \n",
+       "25784                        Drama  \n",
+       "15447            Film-Noir, Sci-Fi  \n",
+       "24693                        Drama  \n",
+       "67385                        Drama  \n",
+       "55907                        Drama  \n",
+       "23403                Comedy, Drama  \n",
+       "18500               Drama, Mystery  \n",
+       "23038              Drama, Thriller  \n",
+       "57898            Animation, Comedy  "
       ]
      },
      "metadata": {},
@@ -1195,106 +1188,106 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>284</th>\n",
-       "      <td>645.0</td>\n",
+       "      <th>158</th>\n",
+       "      <td>344.0</td>\n",
        "      <td>1</td>\n",
        "      <td>Star Wars (1977)</td>\n",
        "      <td>Action, Adventure, Romance, Sci-Fi, War</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7185</th>\n",
-       "      <td>645.0</td>\n",
+       "      <th>7055</th>\n",
+       "      <td>344.0</td>\n",
        "      <td>2</td>\n",
        "      <td>Fargo (1996)</td>\n",
        "      <td>Crime, Drama, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>620</th>\n",
-       "      <td>645.0</td>\n",
+       "      <th>2769</th>\n",
+       "      <td>344.0</td>\n",
        "      <td>3</td>\n",
-       "      <td>Raiders of the Lost Ark (1981)</td>\n",
-       "      <td>Action, Adventure</td>\n",
+       "      <td>Return of the Jedi (1983)</td>\n",
+       "      <td>Action, Adventure, Romance, Sci-Fi, War</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>872</th>\n",
-       "      <td>645.0</td>\n",
+       "      <th>1078</th>\n",
+       "      <td>344.0</td>\n",
        "      <td>4</td>\n",
-       "      <td>Silence of the Lambs, The (1991)</td>\n",
-       "      <td>Drama, Thriller</td>\n",
+       "      <td>English Patient, The (1996)</td>\n",
+       "      <td>Drama, Romance, War</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2483</th>\n",
-       "      <td>645.0</td>\n",
+       "      <th>4535</th>\n",
+       "      <td>344.0</td>\n",
        "      <td>5</td>\n",
-       "      <td>Godfather, The (1972)</td>\n",
-       "      <td>Action, Crime, Drama</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6723</th>\n",
-       "      <td>645.0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>Empire Strikes Back, The (1980)</td>\n",
-       "      <td>Action, Adventure, Drama, Romance, Sci-Fi, War</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1440</th>\n",
-       "      <td>645.0</td>\n",
-       "      <td>7</td>\n",
-       "      <td>Fugitive, The (1993)</td>\n",
+       "      <td>Air Force One (1997)</td>\n",
        "      <td>Action, Thriller</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3288</th>\n",
-       "      <td>645.0</td>\n",
+       "      <th>6433</th>\n",
+       "      <td>344.0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>Pulp Fiction (1994)</td>\n",
+       "      <td>Crime, Drama</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4851</th>\n",
+       "      <td>344.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Titanic (1997)</td>\n",
+       "      <td>Action, Drama, Romance</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5110</th>\n",
+       "      <td>344.0</td>\n",
        "      <td>8</td>\n",
-       "      <td>Toy Story (1995)</td>\n",
-       "      <td>Animation, Children's, Comedy</td>\n",
+       "      <td>Full Monty, The (1997)</td>\n",
+       "      <td>Comedy</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8416</th>\n",
-       "      <td>645.0</td>\n",
+       "      <th>1553</th>\n",
+       "      <td>344.0</td>\n",
        "      <td>9</td>\n",
-       "      <td>Indiana Jones and the Last Crusade (1989)</td>\n",
-       "      <td>Action, Adventure</td>\n",
+       "      <td>Schindler's List (1993)</td>\n",
+       "      <td>Drama, War</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2062</th>\n",
-       "      <td>645.0</td>\n",
+       "      <th>6646</th>\n",
+       "      <td>344.0</td>\n",
        "      <td>10</td>\n",
-       "      <td>Back to the Future (1985)</td>\n",
-       "      <td>Comedy, Sci-Fi</td>\n",
+       "      <td>Empire Strikes Back, The (1980)</td>\n",
+       "      <td>Action, Adventure, Drama, Romance, Sci-Fi, War</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "       user  rec_nb                                      title  \\\n",
-       "284   645.0       1                           Star Wars (1977)   \n",
-       "7185  645.0       2                               Fargo (1996)   \n",
-       "620   645.0       3             Raiders of the Lost Ark (1981)   \n",
-       "872   645.0       4           Silence of the Lambs, The (1991)   \n",
-       "2483  645.0       5                      Godfather, The (1972)   \n",
-       "6723  645.0       6            Empire Strikes Back, The (1980)   \n",
-       "1440  645.0       7                       Fugitive, The (1993)   \n",
-       "3288  645.0       8                           Toy Story (1995)   \n",
-       "8416  645.0       9  Indiana Jones and the Last Crusade (1989)   \n",
-       "2062  645.0      10                  Back to the Future (1985)   \n",
+       "       user  rec_nb                            title  \\\n",
+       "158   344.0       1                 Star Wars (1977)   \n",
+       "7055  344.0       2                     Fargo (1996)   \n",
+       "2769  344.0       3        Return of the Jedi (1983)   \n",
+       "1078  344.0       4      English Patient, The (1996)   \n",
+       "4535  344.0       5             Air Force One (1997)   \n",
+       "6433  344.0       6              Pulp Fiction (1994)   \n",
+       "4851  344.0       7                   Titanic (1997)   \n",
+       "5110  344.0       8           Full Monty, The (1997)   \n",
+       "1553  344.0       9          Schindler's List (1993)   \n",
+       "6646  344.0      10  Empire Strikes Back, The (1980)   \n",
        "\n",
        "                                              genres  \n",
-       "284          Action, Adventure, Romance, Sci-Fi, War  \n",
-       "7185                          Crime, Drama, Thriller  \n",
-       "620                                Action, Adventure  \n",
-       "872                                  Drama, Thriller  \n",
-       "2483                            Action, Crime, Drama  \n",
-       "6723  Action, Adventure, Drama, Romance, Sci-Fi, War  \n",
-       "1440                                Action, Thriller  \n",
-       "3288                   Animation, Children's, Comedy  \n",
-       "8416                               Action, Adventure  \n",
-       "2062                                  Comedy, Sci-Fi  "
+       "158          Action, Adventure, Romance, Sci-Fi, War  \n",
+       "7055                          Crime, Drama, Thriller  \n",
+       "2769         Action, Adventure, Romance, Sci-Fi, War  \n",
+       "1078                             Drama, Romance, War  \n",
+       "4535                                Action, Thriller  \n",
+       "6433                                    Crime, Drama  \n",
+       "4851                          Action, Drama, Romance  \n",
+       "5110                                          Comedy  \n",
+       "1553                                      Drama, War  \n",
+       "6646  Action, Adventure, Drama, Romance, Sci-Fi, War  "
       ]
      },
-     "execution_count": 36,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1309,7 +1302,7 @@
     "display(train_content[train_content['user']==user][['user', 'rating', 'title', 'genres']]\\\n",
     "        .sort_values(by='rating', ascending=False)[:15])\n",
     "\n",
-    "reco = np.loadtxt('Recommendations generated/ml-100k/Self_RP3Beta_reco.csv', delimiter=',')\n",
+    "reco = np.loadtxt('Recommendations generated/ml-100k/Self_P3_reco.csv', delimiter=',')\n",
     "items=pd.read_csv('./Datasets/ml-100k/movies.csv')\n",
     "\n",
     "# Let's ignore scores - they are not used in evaluation: \n",