diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 9d99ffe..e2e0b66 100644
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -21,7 +21,9 @@
     "%matplotlib inline\n",
     "\n",
     "import numpy as np\n",
-    "import pandas as pd"
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
    ]
   },
   {
@@ -39,9 +41,398 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "websites = pd.read_csv('../data/website.csv')"
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL</th>\n",
+       "      <th>URL_LENGTH</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CHARSET</th>\n",
+       "      <th>SERVER</th>\n",
+       "      <th>CONTENT_LENGTH</th>\n",
+       "      <th>WHOIS_COUNTRY</th>\n",
+       "      <th>WHOIS_STATEPRO</th>\n",
+       "      <th>WHOIS_REGDATE</th>\n",
+       "      <th>WHOIS_UPDATED_DATE</th>\n",
+       "      <th>...</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>APP_BYTES</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>REMOTE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>REMOTE_APP_BYTES</th>\n",
+       "      <th>APP_PACKETS</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>M0_109</td>\n",
+       "      <td>16</td>\n",
+       "      <td>7</td>\n",
+       "      <td>iso-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>263.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10/10/2015 18:21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>700</td>\n",
+       "      <td>9</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>832</td>\n",
+       "      <td>9</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>B0_2314</td>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache/2.4.10</td>\n",
+       "      <td>15087.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>19</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>B0_911</td>\n",
+       "      <td>16</td>\n",
+       "      <td>6</td>\n",
+       "      <td>us-ascii</td>\n",
+       "      <td>Microsoft-HTTPAPI/2.0</td>\n",
+       "      <td>324.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>B0_113</td>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>162.0</td>\n",
+       "      <td>US</td>\n",
+       "      <td>AK</td>\n",
+       "      <td>7/10/1997 4:00</td>\n",
+       "      <td>12/09/2013 0:45</td>\n",
+       "      <td>...</td>\n",
+       "      <td>22</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3812</td>\n",
+       "      <td>39</td>\n",
+       "      <td>37</td>\n",
+       "      <td>18784</td>\n",
+       "      <td>4380</td>\n",
+       "      <td>39</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>B0_403</td>\n",
+       "      <td>17</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>124140.0</td>\n",
+       "      <td>US</td>\n",
+       "      <td>TX</td>\n",
+       "      <td>12/05/1996 0:00</td>\n",
+       "      <td>11/04/2017 0:00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4278</td>\n",
+       "      <td>61</td>\n",
+       "      <td>62</td>\n",
+       "      <td>129889</td>\n",
+       "      <td>4586</td>\n",
+       "      <td>61</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1776</th>\n",
+       "      <td>M4_48</td>\n",
+       "      <td>194</td>\n",
+       "      <td>16</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>Barcelona</td>\n",
+       "      <td>17/09/2008 0:00</td>\n",
+       "      <td>2/09/2016 0:00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>186</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1777</th>\n",
+       "      <td>M4_41</td>\n",
+       "      <td>198</td>\n",
+       "      <td>17</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>Barcelona</td>\n",
+       "      <td>17/09/2008 0:00</td>\n",
+       "      <td>2/09/2016 0:00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>124</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1778</th>\n",
+       "      <td>B0_162</td>\n",
+       "      <td>201</td>\n",
+       "      <td>34</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>Apache/2.2.16 (Debian)</td>\n",
+       "      <td>8904.0</td>\n",
+       "      <td>US</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>15/02/1999 0:00</td>\n",
+       "      <td>15/07/2015 0:00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6631</td>\n",
+       "      <td>87</td>\n",
+       "      <td>89</td>\n",
+       "      <td>132181</td>\n",
+       "      <td>6945</td>\n",
+       "      <td>87</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1779</th>\n",
+       "      <td>B0_1152</td>\n",
+       "      <td>234</td>\n",
+       "      <td>34</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>cloudflare-nginx</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>US</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>1/04/1998 0:00</td>\n",
+       "      <td>9/12/2016 0:00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1780</th>\n",
+       "      <td>B0_676</td>\n",
+       "      <td>249</td>\n",
+       "      <td>40</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>Microsoft-IIS/8.5</td>\n",
+       "      <td>24435.0</td>\n",
+       "      <td>US</td>\n",
+       "      <td>Wisconsin</td>\n",
+       "      <td>14/11/2008 0:00</td>\n",
+       "      <td>20/11/2013 0:00</td>\n",
+       "      <td>...</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2314</td>\n",
+       "      <td>25</td>\n",
+       "      <td>28</td>\n",
+       "      <td>3039</td>\n",
+       "      <td>2776</td>\n",
+       "      <td>25</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1781 rows × 21 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          URL  URL_LENGTH  NUMBER_SPECIAL_CHARACTERS     CHARSET  \\\n",
+       "0      M0_109          16                          7  iso-8859-1   \n",
+       "1     B0_2314          16                          6       UTF-8   \n",
+       "2      B0_911          16                          6    us-ascii   \n",
+       "3      B0_113          17                          6  ISO-8859-1   \n",
+       "4      B0_403          17                          6       UTF-8   \n",
+       "...       ...         ...                        ...         ...   \n",
+       "1776    M4_48         194                         16       UTF-8   \n",
+       "1777    M4_41         198                         17       UTF-8   \n",
+       "1778   B0_162         201                         34       utf-8   \n",
+       "1779  B0_1152         234                         34  ISO-8859-1   \n",
+       "1780   B0_676         249                         40       utf-8   \n",
+       "\n",
+       "                      SERVER  CONTENT_LENGTH WHOIS_COUNTRY WHOIS_STATEPRO  \\\n",
+       "0                      nginx           263.0           NaN            NaN   \n",
+       "1              Apache/2.4.10         15087.0           NaN            NaN   \n",
+       "2      Microsoft-HTTPAPI/2.0           324.0           NaN            NaN   \n",
+       "3                      nginx           162.0            US             AK   \n",
+       "4                        NaN        124140.0            US             TX   \n",
+       "...                      ...             ...           ...            ...   \n",
+       "1776                  Apache             NaN            ES      Barcelona   \n",
+       "1777                  Apache             NaN            ES      Barcelona   \n",
+       "1778  Apache/2.2.16 (Debian)          8904.0            US             FL   \n",
+       "1779        cloudflare-nginx             NaN            US             CA   \n",
+       "1780       Microsoft-IIS/8.5         24435.0            US      Wisconsin   \n",
+       "\n",
+       "         WHOIS_REGDATE WHOIS_UPDATED_DATE  ...  DIST_REMOTE_TCP_PORT  \\\n",
+       "0     10/10/2015 18:21                NaN  ...                     0   \n",
+       "1                  NaN                NaN  ...                     7   \n",
+       "2                  NaN                NaN  ...                     0   \n",
+       "3       7/10/1997 4:00    12/09/2013 0:45  ...                    22   \n",
+       "4      12/05/1996 0:00    11/04/2017 0:00  ...                     2   \n",
+       "...                ...                ...  ...                   ...   \n",
+       "1776   17/09/2008 0:00     2/09/2016 0:00  ...                     0   \n",
+       "1777   17/09/2008 0:00     2/09/2016 0:00  ...                     0   \n",
+       "1778   15/02/1999 0:00    15/07/2015 0:00  ...                     2   \n",
+       "1779    1/04/1998 0:00     9/12/2016 0:00  ...                     0   \n",
+       "1780   14/11/2008 0:00    20/11/2013 0:00  ...                     6   \n",
+       "\n",
+       "      REMOTE_IPS  APP_BYTES  SOURCE_APP_PACKETS  REMOTE_APP_PACKETS  \\\n",
+       "0              2        700                   9                  10   \n",
+       "1              4       1230                  17                  19   \n",
+       "2              0          0                   0                   0   \n",
+       "3              3       3812                  39                  37   \n",
+       "4              5       4278                  61                  62   \n",
+       "...          ...        ...                 ...                 ...   \n",
+       "1776           0          0                   0                   3   \n",
+       "1777           0          0                   0                   2   \n",
+       "1778           6       6631                  87                  89   \n",
+       "1779           0          0                   0                   0   \n",
+       "1780          11       2314                  25                  28   \n",
+       "\n",
+       "      SOURCE_APP_BYTES  REMOTE_APP_BYTES  APP_PACKETS  DNS_QUERY_TIMES  Type  \n",
+       "0                 1153               832            9              2.0     1  \n",
+       "1                 1265              1230           17              0.0     0  \n",
+       "2                    0                 0            0              0.0     0  \n",
+       "3                18784              4380           39              8.0     0  \n",
+       "4               129889              4586           61              4.0     0  \n",
+       "...                ...               ...          ...              ...   ...  \n",
+       "1776               186                 0            0              0.0     1  \n",
+       "1777               124                 0            0              0.0     1  \n",
+       "1778            132181              6945           87              4.0     0  \n",
+       "1779                 0                 0            0              0.0     0  \n",
+       "1780              3039              2776           25              6.0     0  \n",
+       "\n",
+       "[1781 rows x 21 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "websites = pd.read_csv('../data/website.csv')\n",
+    "websites"
    ]
   },
   {
@@ -67,18 +458,280 @@
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1781 entries, 0 to 1780\n",
+      "Data columns (total 21 columns):\n",
+      " #   Column                     Non-Null Count  Dtype  \n",
+      "---  ------                     --------------  -----  \n",
+      " 0   URL                        1781 non-null   object \n",
+      " 1   URL_LENGTH                 1781 non-null   int64  \n",
+      " 2   NUMBER_SPECIAL_CHARACTERS  1781 non-null   int64  \n",
+      " 3   CHARSET                    1774 non-null   object \n",
+      " 4   SERVER                     1605 non-null   object \n",
+      " 5   CONTENT_LENGTH             969 non-null    float64\n",
+      " 6   WHOIS_COUNTRY              1475 non-null   object \n",
+      " 7   WHOIS_STATEPRO             1419 non-null   object \n",
+      " 8   WHOIS_REGDATE              1654 non-null   object \n",
+      " 9   WHOIS_UPDATED_DATE         1642 non-null   object \n",
+      " 10  TCP_CONVERSATION_EXCHANGE  1781 non-null   int64  \n",
+      " 11  DIST_REMOTE_TCP_PORT       1781 non-null   int64  \n",
+      " 12  REMOTE_IPS                 1781 non-null   int64  \n",
+      " 13  APP_BYTES                  1781 non-null   int64  \n",
+      " 14  SOURCE_APP_PACKETS         1781 non-null   int64  \n",
+      " 15  REMOTE_APP_PACKETS         1781 non-null   int64  \n",
+      " 16  SOURCE_APP_BYTES           1781 non-null   int64  \n",
+      " 17  REMOTE_APP_BYTES           1781 non-null   int64  \n",
+      " 18  APP_PACKETS                1781 non-null   int64  \n",
+      " 19  DNS_QUERY_TIMES            1780 non-null   float64\n",
+      " 20  Type                       1781 non-null   int64  \n",
+      "dtypes: float64(2), int64(12), object(7)\n",
+      "memory usage: 292.3+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites.info()\n"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your comment here"
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL_LENGTH</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CONTENT_LENGTH</th>\n",
+       "      <th>TCP_CONVERSATION_EXCHANGE</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>APP_BYTES</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>REMOTE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>REMOTE_APP_BYTES</th>\n",
+       "      <th>APP_PACKETS</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>969.000000</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1.781000e+03</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1.781000e+03</td>\n",
+       "      <td>1.781000e+03</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1780.000000</td>\n",
+       "      <td>1781.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>56.961258</td>\n",
+       "      <td>11.111735</td>\n",
+       "      <td>11726.927761</td>\n",
+       "      <td>16.261089</td>\n",
+       "      <td>5.472768</td>\n",
+       "      <td>3.060640</td>\n",
+       "      <td>2.982339e+03</td>\n",
+       "      <td>18.540146</td>\n",
+       "      <td>18.746210</td>\n",
+       "      <td>1.589255e+04</td>\n",
+       "      <td>3.155599e+03</td>\n",
+       "      <td>18.540146</td>\n",
+       "      <td>2.263483</td>\n",
+       "      <td>0.121280</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>27.555586</td>\n",
+       "      <td>4.549896</td>\n",
+       "      <td>36391.809051</td>\n",
+       "      <td>40.500975</td>\n",
+       "      <td>21.807327</td>\n",
+       "      <td>3.386975</td>\n",
+       "      <td>5.605057e+04</td>\n",
+       "      <td>41.627173</td>\n",
+       "      <td>46.397969</td>\n",
+       "      <td>6.986193e+04</td>\n",
+       "      <td>5.605378e+04</td>\n",
+       "      <td>41.627173</td>\n",
+       "      <td>2.930853</td>\n",
+       "      <td>0.326544</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>16.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>39.000000</td>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>324.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>49.000000</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>1853.000000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>6.720000e+02</td>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>9.000000</td>\n",
+       "      <td>5.790000e+02</td>\n",
+       "      <td>7.350000e+02</td>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>68.000000</td>\n",
+       "      <td>13.000000</td>\n",
+       "      <td>11323.000000</td>\n",
+       "      <td>22.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>2.328000e+03</td>\n",
+       "      <td>26.000000</td>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>9.806000e+03</td>\n",
+       "      <td>2.701000e+03</td>\n",
+       "      <td>26.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>249.000000</td>\n",
+       "      <td>43.000000</td>\n",
+       "      <td>649263.000000</td>\n",
+       "      <td>1194.000000</td>\n",
+       "      <td>708.000000</td>\n",
+       "      <td>17.000000</td>\n",
+       "      <td>2.362906e+06</td>\n",
+       "      <td>1198.000000</td>\n",
+       "      <td>1284.000000</td>\n",
+       "      <td>2.060012e+06</td>\n",
+       "      <td>2.362906e+06</td>\n",
+       "      <td>1198.000000</td>\n",
+       "      <td>20.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        URL_LENGTH  NUMBER_SPECIAL_CHARACTERS  CONTENT_LENGTH  \\\n",
+       "count  1781.000000                1781.000000      969.000000   \n",
+       "mean     56.961258                  11.111735    11726.927761   \n",
+       "std      27.555586                   4.549896    36391.809051   \n",
+       "min      16.000000                   5.000000        0.000000   \n",
+       "25%      39.000000                   8.000000      324.000000   \n",
+       "50%      49.000000                  10.000000     1853.000000   \n",
+       "75%      68.000000                  13.000000    11323.000000   \n",
+       "max     249.000000                  43.000000   649263.000000   \n",
+       "\n",
+       "       TCP_CONVERSATION_EXCHANGE  DIST_REMOTE_TCP_PORT   REMOTE_IPS  \\\n",
+       "count                1781.000000           1781.000000  1781.000000   \n",
+       "mean                   16.261089              5.472768     3.060640   \n",
+       "std                    40.500975             21.807327     3.386975   \n",
+       "min                     0.000000              0.000000     0.000000   \n",
+       "25%                     0.000000              0.000000     0.000000   \n",
+       "50%                     7.000000              0.000000     2.000000   \n",
+       "75%                    22.000000              5.000000     5.000000   \n",
+       "max                  1194.000000            708.000000    17.000000   \n",
+       "\n",
+       "          APP_BYTES  SOURCE_APP_PACKETS  REMOTE_APP_PACKETS  SOURCE_APP_BYTES  \\\n",
+       "count  1.781000e+03         1781.000000         1781.000000      1.781000e+03   \n",
+       "mean   2.982339e+03           18.540146           18.746210      1.589255e+04   \n",
+       "std    5.605057e+04           41.627173           46.397969      6.986193e+04   \n",
+       "min    0.000000e+00            0.000000            0.000000      0.000000e+00   \n",
+       "25%    0.000000e+00            0.000000            0.000000      0.000000e+00   \n",
+       "50%    6.720000e+02            8.000000            9.000000      5.790000e+02   \n",
+       "75%    2.328000e+03           26.000000           25.000000      9.806000e+03   \n",
+       "max    2.362906e+06         1198.000000         1284.000000      2.060012e+06   \n",
+       "\n",
+       "       REMOTE_APP_BYTES  APP_PACKETS  DNS_QUERY_TIMES         Type  \n",
+       "count      1.781000e+03  1781.000000      1780.000000  1781.000000  \n",
+       "mean       3.155599e+03    18.540146         2.263483     0.121280  \n",
+       "std        5.605378e+04    41.627173         2.930853     0.326544  \n",
+       "min        0.000000e+00     0.000000         0.000000     0.000000  \n",
+       "25%        0.000000e+00     0.000000         0.000000     0.000000  \n",
+       "50%        7.350000e+02     8.000000         0.000000     0.000000  \n",
+       "75%        2.701000e+03    26.000000         4.000000     0.000000  \n",
+       "max        2.362906e+06  1198.000000        20.000000     1.000000  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your comment here\n",
+    "websites.describe()\n"
    ]
   },
   {
@@ -104,18 +757,54 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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6OnLq1Ck0Go3e9mJiYsjLyytWfirLz8+PsWPHsm7dOvr371/sfTMzM0BbPgqPcS/tRk1lVKZMl+dzeFgWi07wVx59+vThgw8+4OTJk2WOky78fS/K0Pe9KFNTU90kcoVVdwW8IurVq8fmzZsBuHbtGrt372bp0qXk5OSwcePGGotLCPHfIi3SQgghyhQQEIBGo2H69Onk5OQUez83N5e9e/cC6Lppf/HFF3pp/v77b4KDg+nRo0el4/Dx8aFRo0ZcuHCBxx57zOCr8LOVC1MoFGg0mmKzjn/22Wfk5+frLSvaSlWah/tTdH+/++470tPTq7S/ZXnxxRcZNGgQr732WolpHla6iu73J598UixtRfa7LJ999hlffPEFH374IT/99BNJSUlMmTKlzHw9evQgLS2NPXv26C3//PPPde9Xl7feeoucnBzd7OOFPZyZ/eLFi3rLH5bz6lKVMl2ajh07Ymtry8aNG9FoNBXKO2/ePCwtLXWTuRWl0Wh0j7/q0KED5ubmxcr/vXv3OHr0aJmfl6enZ7FjfPToUdLS0ioU8z/F29ubV199lebNm3Pu3LmaDkcI8R8iLdJCCCHK1KFDBz7++GNmzZpFmzZtmDlzJk2bNiU3N5fz58+zadMmmjVrxqBBg/Dx8eGZZ57hgw8+QKlU0q9fP92s3R4eHsybN69KsXzyySf069ePPn36MHnyZGrXrk1CQgLBwcGcO3eOb775xmA+GxsbunTpwurVq3FycsLT05PffvuNzZs3Y2dnp5e2WbNmAGzatAlra2vMzMzw8vIy2C27V69e9OnTh4ULF5KSkkKnTp10s3a3atWKCRMmVGl/S9O7d2969+5daprGjRvToEEDXnnlFTQaDQ4ODuzdu5dDhw4VS9u8eXMA3nvvPSZNmoSxsTE+Pj4VrshdunSJF154gUmTJukqz5s3b2bEiBGsX7+euXPnlph34sSJfPTRR0yaNImwsDCaN2/On3/+yYoVK+jfvz89e/asUCyl8fLyYubMmbz33nvF3uvfvz8ODg5MnTqVN954AyMjI7Zt20Z4eHi1bf+hypbp0lhZWbF27VqmTZtGz549mT59Oq6urty4cYMLFy7w4YcflpjXy8tLN2u4n58fs2fP1j0r/OrVq2zZsgWNRsOwYcOws7PjtddeY9GiRUycOJGxY8cSHx/PsmXLMDMzY8mSJaXGOWHCBF577TVef/11unbtytWrV/nwww8NPnbr33Dx4kVmz57NyJEjadSoESYmJhw9epSLFy/q9WQRQgipSAshhCiX6dOn065dO959913eeecdoqKiMDY2xtvbm6eeeorZs2fr0n788cc0aNCAzZs389FHH2Fra0vfvn1ZuXKlwcpoRXTr1o3Tp0+zfPly5s6dS2JiIo6Ojvj6+jJq1KhS83711VfMmTOHl19+mby8PDp16sShQ4eKTVTk5eXF+vXree+99/D39yc/P5+tW7cafLSWQqFgz549LF26lK1bt7J8+XKcnJyYMGECK1asMPjc7X+TsbExe/fuZc6cOTz77LMYGRnRs2dPDh8+rDfpGWgnxgoICGD79u18+umnqNVqjh07hr+/f7m3l56ezqhRo/Dy8mLDhg265cOHD+e5557j5ZdfpmPHjrRr185gfjMzM44dO8bixYtZvXo1sbGx1K5dm5deeqnMSlllvPrqq2zdupWUlBS95TY2Nuzfv5+5c+cyfvx47OzsmDZtGv369WPatGnVGkNVynRppk6dSq1atXjnnXeYNm0aGo0GT09PvS7+JRk4cCCXLl1i7dq1bNy4kfDwcJRKJV5eXvTt25fnn39elzYgIAAXFxfef/99du3ahbm5Of7+/qxYsaLMR18tWLCAlJQUtm3bxpo1a2jXrh27d+9myJAhld7vqnBzc6NBgwZs2LCB8PBwFAoF9evXZ+3atXr7LIQQCk1F+/sIIYQQQgghhBD/j8kYaSGEEEIIIYQQogKkIi2EEEIIIYQQQlSAVKSFEEIIIYQQQogKkIq0EEIIIYQQQohH0u+//86gQYOoVauWbgLQsvz222+0adMGMzMz6tevX6lnxEtFWgghhBBCCCHEIyk9PZ2WLVuW+li/wm7fvk3//v154oknOH/+PIsWLeKFF17gu+++q9B2ZdZuIYQQQgghhBCPPIVCwQ8//MDQoUNLTLNw4UJ++ukngoODdctmzJjBhQsXCAwMLPe2pEVaCCGEEEIIIcR/QnZ2NikpKXqv7Ozsalt/YGAgvXv31lvWp08fzpw5Q25ubrnXY1RtEQkhhBBCCCGEeOT9bOxTY9v+e/FYli1bprdsyZIlLF26tFrWHxUVhaurq94yV1dX8vLyiIuLw93dvVzrkYq0EP/DavIkWFEDckMJ6v1ETYdRbn4H/+DVbTk1HUaFvDXZhP5PX6rpMMrtly3N6Tf5Yk2HUW6/bmtBn0lBNR1GuR3Y7segZ4PLTvgfsveTJo9cmRgw7XJNh1FuP3/WjKGzrtV0GBWyZ4P3I1WOH8Uy3G3UqZoOo9yO7X6clbvzazqMCgkYparpEP5zAgICmD9/vt4yU1PTat2GQqHQ+/vhaOeiy0sjFWkhhBBCCCGEEP8Jpqam1V5xLszNzY2oqCi9ZTExMRgZGeHo6Fju9UhFWgghhBBCCCGEjsK4/C2zj5oOHTqwd+9evWUHDx7ksccew9jYuNzrkcnGhBBCCCGEEEI8ktLS0ggKCiIoKAjQPt4qKCiIu3fvAtqu4hMnTtSlnzFjBnfu3GH+/PkEBwezZcsWNm/ezEsvvVSh7UqLtBBCCCGEEEIIHaXRo9MifebMGbp166b7++H46kmTJrFt2zYiIyN1lWoALy8vfvnlF+bNm8dHH31ErVq1eP/99xk+fHiFtisVaSGEEEIIIYQQjyR/f3/dZGGGbNu2rdiyrl27cu7cuSptVyrSQgghhBBCCCF0FMYyArgscoSEEEIIIYQQQogKkIq0EEIIIYQQQghRAdK1WwghhBBCCCGEzqM02VhNkRZpIYQQQgghhBCiAqRFWgghhBBCCCGEjsJYWqTLIi3SQgghhBBCCCFEBUhFWgghhBBCCCGEqADp2i2EEEIIIYQQQkcmGyubVKRFtfH398fPz4/169frLd+zZw/Dhg1Do9Gwbds2pkyZonvPxcWFdu3a8fbbb9O0aVPd8smTJ5OUlMSePXsqHIenpydz585l7ty5xd4LCwvDy8vLYL7AwEDat2+vi7FPnz7s379f935SUhL29vYcO3YMf39/3fJjx46xdu1aTp06RWpqKrVr1+axxx7jueeeo27duiVu76ElS5YwefJkvLy8OH/+PH5+fnrvl3Rcq8qh82PUf3Eqtq2bYVbLhTPDZxH905HS8zzRFt81r2Dl24js+zHcXPsZdzft1EvjNqw33kvnYNGgLhk37xL6+rtE/3i42uJ2HDQUl5FjMXZwJOtOGBEfv0/65YslpncaNAynIU9i4upOTkw00V9/TuLhAwX71G8QDj37YOZZH4DM66FEbt1ERmhwtcTbzkfJE81UWFlATKKGX07ncydGYzCtlTn0a6uilqMSRxs4Gazml9P5eml86yro2kKFg40ClQLiUzX8dVlN0C11tcQLMG6IC327OmBloSL0VgYbvrjP3fvZpebp1MaGCcNccXc2ITI2h+3fRxN4LsVg2lH9nZk8wo09h+LY9HVk9cQ81JV+XR2wstTG/NHnEWXH/JgNE4e54e5iQmRMDtu/i+JESTEPcGbKSHf2HIzlk6+qHvP4oW7093fEylJFyM0MPtpxjzsRWaXm6fyYLROfdNfFu+27SE6cTdZb54Rhbnp5EpJyGTvnSpXjHTvQiT5P2GFloeLa7Uw2fh3F3cicUvN0bGXNuMHOuDsbExmby44fYzkZlKp7v18XO/p1tcfV0RiAu5HZ7NwXx9kr6VWOFx69MvHUYBf6drHXfu9uZ/Lxl2V/7zq2tmHCUBfd9+7zH6IJPF9wjPv7O9Df30F3jO/cz+brvTGcvZxW5XjHDHCkdydbLC2UXA/L4pNdMYSXUSY6+Fnx1CBH3JyMiYrL5Yuf4jl1oSAW34bmDOtlTwMPMxzsjFj5SQSnLlRPeZAyXFx1l+FJI2szsIcL1lZGBF9P473NYYTdyyw1T5fH7Zky2oNarqbcj85m89fh/Pl3ou79rz/0w83FtFi+PQeieW9zWKVjbd1AweM+CqzMITYZDgepuRdnOK2lGfRoqcDNXoGDNZy5ruFwUPHfcVNj6NpcgU9tBWYmkJQOR4PU3IyqdJjiP066dot/nY2NDZGRkdy/f5+ff/6Z9PR0BgwYQE5O6T9o1enw4cNERkbqvdq0aaN738jIiCNHjnDs2LFS17NhwwZ69OiBo6Mju3btIjg4mB07dtCxY0fmzZuHh4eH3jZefPFFmjZtqrfspZde+qd31yCVpQUpF0O5MueNcqU396xD272bSPjzLH+2HcqNdzbS9N3FuA3rrUtj196PVl+9S8SXP/JHmyFEfPkjrb9ej127FtUSs13X7tSe8QLRX+0gdOZU0i9doP7y1Rg7uxhM7zhwKO5PP0vUjq2ETJ9A1I4t1Jk9H5v2HXVprFr6kXj8MDcXvMD1uTPIiYmmwcq1GDs6VTneZp5K+rdTcfxiPht+yuVOjIaJvYywtTSc3kgF6Vnw28V8ohIMV7Yzc+D4xXw2/ZzLhz/lcu66mmGdVTSsVT13jkf0c2JYbyc+/uI+c9+8QWJyHstf8sLcrOSfi8YNLHhlRl2OnkjiuSU3OHoiiYAZdfGpb14sbSNPc/p2deBWeOkXVxUxsr8zT/ZxYsMXEcxZdp3E5DxWLKhfZswBM+tx5EQis16/zpETiQTMqmcwZm8vc/r5O3LrbvXEPKq/C0/2deajHfd4fuk1EpNzWbmgQanxNmlgwaJZnhw5kcCs10I5ciKBxbM88alvoZcu7F4mY164rHvNeDWkyvEO7+PI0J4OfLIzmvkrw0hMyeONuXUxNy05Xp/65rw8vTbHTiXzwpu3OXYqmYXP1Mbb00yXJi4pj+0/xDBvRRjzVoRxMSSDxbM8qOtuUuWYH7UyMaKvE8N6ObLxq0jmvXWTxORc3prvWeoxblzfnFee9eBoYBKzl93gaGASrzxbFx+vgnjjEnPZ9l0Uc966yZy3bnIxJI3XZtelbq3iFZOKGNbLnsHd7di0O4YF79wlMSWPZc/Xwcy05POQj5cZL0115/jpFOauuMPx0yksmOZOo0JlwsxEwe172WzaHVOl+IqSMvzPl+ExQ9wZOcCd97eEMSPgMglJuax+tXGp8fo2suL1uY049Hsc0xZc4tDvcSyZ15AmDQt+JGcEXObJ6ed0rxff1N7kPh4YX+lYm3go6Omn4ESwhi0H1dyL0zD6CSU2FobTGykhIxtOBGuITjKcRqmEsV2V2Foo+P6Emk9+VfPrGTWp1fdT969TGCtq7PWokIq0+NcpFArc3Nxwd3fnscceY968edy5c4fQ0NB/LQZHR0fc3Nz0XsbGxrr3LS0tmTJlCq+88kqJ67h7966u5Xv79u10794dLy8vOnbsyJw5czhz5gwqlUpvG1ZWVhgZGRVbVhNiD/zOtSXridpzqFzp6z0zhqy7kVx9cQVpIbcI3/It4du+p/78p3VpvJ6fRNzhE9xctYn00FvcXLWJuKMn8Xx+UrXE7Dx8NAn7fyZh/z6yw+8QsfEDcmNjcBo0zGB6hx69if/lJ5J+O0pOVCRJx4+QsH8fLqPG6dLcfftN4vfuIfPWDbLD7xK+fhUolFi1amNwnRXRqamSs9fVnL2uJjYZfjmdT3I6tPNRGUyflKZNE3RTTXau4XXejtIQfFdDbDIkpEJgsJroRA31XKvndD60lxM798Vw4lwKdyKyWbv5HqYmSvwftysljyPnr6ax+5dY7kVls/uXWIKC0xjSS/9mhJmpkpef8eD97fdIS88vYW2ViLm3Ezv3xnDi7IOYPw3H1FSJf/tSYu7txLkrqez+OZZ7kdns/lkb89DezsViXvBsXd7beo+0jOqJeWgfZ3b+FM1fZ5O5E5HFmk/vYmqipFt7+xLzDOvjzLkrqezaF0N4ZDa79sUQdDWVYX30483Ph8TkPN0rObXqMQ/u4cDuX+MJPJ/K3fvZvLstElMTJV3b2ZSYZ0gPB4KC0/l2fzz3onP4dn88F0LSGdzDQZfm74tpnL2czv2YHO7H5LDjx1iystUGL/or6lErE0N6OrLr51jt9+5+Nuu2RGiP8eO2Jefp5cT5q2l882sc96Jy+ObXOC6EpDGkp6MuzekLqZy5lMb96BzuR+fw+Q8xZGWraVy/hBpDOQ3qbs83+xM4GZTG3cgc3vs8GlMTBV3allwmBnW3Jygkg+8OJBIRnct3BxK5GJLBoG52ujTnrmbw1d54TgZVvcW8MCnD/3wZHtHfjS9+iOCP04mEhWfy9kc3MTNV0rNzyTelRwxw48zFZL7ac5/w+1l8tec+5y6nMHxAQc+a5NQ8EpNzda8Ore2IiMriwtXUEtdblnbeCi7c1nDhtob4VDgcpCElE1o1MFyBS87Qprl8R1Pib3NLL20r9Hd/qYmIh5QMuBcHMcmG04v/DVKRFjUqKSmJr776CkCvIvtfsHTpUi5dusS3335r8P3vvvuO3NxcXn75ZYPvKxSPzh218rBr70fs4b/0lsUe/APbNs1QGGlHidi39yPu8J96aeIO/YF9h1ZV3r7CyAiLRt6knjuttzz17N9Y+jYznMfEBHWOfjc4dU4OFj5NQGW4Mqs0NUVhZER+auV/pAFUSqjlqODGff0u1zfuq6nrUn1lo767AicbBWFRVe/a7eZsjIOdMeeuFFzE5uVpuBSaTpOGJV94N25gwbnL+sfr3OVUfBvo55k1vhanL6YSdLV6uj1qYzbRxlxo+7l5Gi6FpOFbSsxNGlpwrkj31rOXUovt53MTavH3hRSCrlbPhb2bswmOdsacLRpvaBq+jUroqgA0aWiplwfgzOVUfBvq56ntZsJX65uyfU0TAmbWw825ai1jrk7GONgacf6qfpm4fC2Dxg1Kriw0rm/O+SKf8/kr6TRpYPgzUSrgicdsMDNREHKrak04j1yZcDL8vbtc1veuvrne5wJw7kpaiXmUCujS1hYzEyXBNzMqHa+ro7ZMBAUXrCMvT8Pl65k0rm9WYj4fLzOCgouUieB0GldDpbM0Uob/+TLs7mKKo70JZy4U1Bpz8zRcuJpKU5+SGwt8va04c1G/pvn3hWSaelsbTG+kUtDrCSd+PRZb6ViVSnCzh9vR+r2+bkdpqONY+d/mRrUURMRr6N1awQuDlUzro6RDEwX/Y5eCoggZIy3+dcnJyVhZWaHRaMjI0P4QDx48mMaNG/9rMXTs2BGlUv8+UnJyMqpClatatWoxZ84cFi9ezNChQ4ut49q1a9jY2ODmVnDn9LvvvmPSpILW18DAQJo3b16luDIzM4uNm64Jpq5OZEfrDyDKiYlHaWyMiZM92VGxmLo5kR2t390qOzoeUzf9u+GVobKxRaEyIjcxUW95bmIi1vYOBvOknjmNY99BJJ/4g8zr1zBv5INDn/4ojY0xsrUjL6F41zD3qTPIjYsl9dyZKsVrYQoqpYK0ItdT6ZkarMyrdg/T1BheHmWMkQrUGtgbmM/NSMNdwSvC3kZ7MyspJU9veVJKHi6OJd/osrc1MpjH3rbgJ6ZLO1sa1jNnzhs3qhxn0W0DJBqMueRKZEkxOxSKuevjtjSo5pgddPHqN2skpuSWHW+yfp6k5Fy9YxxyK53VmzK5F5WNvY0RYwe78e6rjXhmUQiplewBYG+jXX9Sin7+pNQ8XBxKLhN2NiWUCRv9G1j1apmyeqEnJsYKMrPVLN94r8xxtmXG/IiViYfxGtq2cxnfu8Rk/TyJyXm6z+yherVNWRtQHxNjJZnZat7acJfwyNLH2ZbGzlb7GSal6m87OTUP5zLKRHKRcpSckl+sTFQ3KcP/wnnNTnscE4ucoxKTc3F1KjleBztjEpOK5EnK1a2vqM7t7LGyNGL/8cpXpC1MQKlUkF5kSor0bO1Y6Mqys4R6Lgqu3NGw+w819lYK+rRWoFTAX1er/vtcE2SysbJJRVr866ytrTl37hx5eXn89ttvrF69mo0bN/6rMezatYsmTZroLVMZaKFcuHAhn3zyCVu2bGHUqFHF3i/a6tynTx+CgoKIiIjA39+f/PyKXbwaimvcuHElpC6QnZ1Ndrb+hZGpadXGwBmkKfJj8HD/Cy83lKbosmqMQRuC4fVHfbkNI3sHvN/7BBTaSnfCwV9xHT0O1MU/G5eRT2Hv35MbC15Ak/sPjdmvht+lnFz46KdcTIwVNHBX0K+disQ0DbejKnac/dvb8fzEWrq/l6y/Axj4CA0sK6rY2wqFbpmTvTHPjnXn1XVh5OZVrSx062DH85Nq6/5e8m6YdvtFV6soqVQUMFhUH/zfycGYZ5+qxeI1t8nNrXzM3TrYM2dyHd3fr6279WDjRcMtO2BDx7jwwjMXC1qvwoCrN26xbXUTenV24PsD5bvw7NrOhufGuev+fuPDcO22DZWJMtZVPN7iyyKis5nz1i0sLVR0bGXNvMm1CFh7p0IVkUetTPg/bsvsCQXfu6XvP/jeFU1YiXOFwtAxjsrh+TduYmmupFMbW+Y/XYeFq26XuzLdpa01M8e66v5+6+MISgq44ueJsj+TipIyXCTLP1CGe3Z2ZP4zBROpBqwMrXy8RbOU8sH07+bMqaAk4hNL6F9dBVX9aVYotHOc/HpWg0YDUYkarMyhvY/ika1Ii7JJRVpUGxsbG5KTiw8GSUpKwsamYBySUqmkYcOGADRu3JioqChGjx7N77///q/F6uHhoYuhNHZ2dgQEBLBs2TIGDhyo916jRo1ITk4mKipK1yptZWVFw4YNMTKq3FfLUFzm5mV3e1u5ciXLli3TW7ZkyRLaVioKw7Kj44q1LJs4O6DOzSUnPkmbJioOUzf98VCmLg7FWrIrIz8lGU1+HsYO+q3PRnb25BVppX5Ik5ND+Lq3CX9vNcb2DuQmxOPYfzD56enkFSmrziPG4Dp2PDcWziPr9s0qx5uRDflq7Q9pYZZmCtIyq/ajqkE7Pho0RCVocLZV0KW5ittReWXk1HcqKIXQWwXdM40f3H0u2tJla6BlpjBDrWB21iqSHqyjkac59rbGvP96QdlWqRQ087ZkUHdHhjxzGXU5D8nJ8ymE3Cwes0ORmO2si7fgFovZVj9mW+uCdTyM+YOljYrH3MOJwdMulSvmk+eTCb1Z0D3U2FjbG8He1piEwvHaGBVrfSoer34rTVl5snPUhN3LorZb+W+qnb6QxrXbtwri1ZUJld62bK1LLxPalruiZcKoWKtgXj5ExuYCudy4k0UjT3MGd3fgoy/LP83to1YmTgWlElroHKM7xjbF4y27TBQ5xga+q3n5GiJjtJW6G3ey8PY0Z0hPRz7ccb/sYIHTF9O4FlbQfPcwXm35K/g8ba1VxVqpC0tKycOuSGuurbWqWJmoKinD/3wZ/utMIlevF3QLN3lwXnOwMyahUAuzvY1xsVbqwhIMtD7b2RqTYCCPq5MJrVvYsmTN9bIDLEVGDqjVmmKtzxamFGulroi0TMjX6N9MiE/R9kBTKkFdfQ/W+NcoVNIiXRYZIy2qTePGjTlzpnh32L///hsfH58S882bN48LFy7www8//JPhVdrzzz+PUqnkvffe01s+YsQIjI2Neeedd2oosgIBAQEkJyfrvQICAqp1G0kng3Dq0VFvmXOvziSfvYwmT/sjnXgyCKcenfTSOPXsTGLg+SpvX5OXR8b1a1i31r89YN26LelXL5eeOT+f3LhYUKux9+9ByqkTer92ziPH4jZuEjcXvUTm9eqZ9C5fDffjNTSspX+abVhLyd0SHn9VWQq0M35XVGaWmsiYHN3r7v1sEpJyae1bMKbNSKWguY8lwTdKHlMZcjODVk31x7S1bmbN1QcXhkHBacx87Rqzl17Xva7dzuD4ySRmL71e7kp0aTEX3r6RSkHzxlZcLSXm4BsZtG6qP3avdTMr3X4GXU1jxuJQnnv9mu517VYGx04m8dzr18odc2aWWjcR0f2YHO5EZBGflEvrZkXi9bHi6vWSx44H30indZFj3KaZNVdvlJzH2EiBRy1TvQvbMuPNVhMZm6t73Y3MISE5D78mBWOxjVTQzNuCkJsljwMNuZWplwegla9lmWNzFYqCSkS5Y37UykR2SfHqf++alfW9u5WJn69+vK18rUrNA0AFj3FWtoao2FzdK1xXJgrG3RqpoFkjc0JulVwTCb2dhV9j/TLh18SyyuOJi5Iy/C+d16Kzda+we5nEJ+bwWIuCyfGMVApa+lpzJbTkcdhXr6XRprn+hHqPtbDlyrXic5T07eZMUnIugecM3zgvL7UaohLBy1X/M/JyVXAvvvK/zffiNdgXGQ7uYK0gNVPzSFaiRflIi7SoNrNmzeLDDz/kueee45lnnsHc3JxDhw6xefNmduzYUWI+Gxsbpk2bxpIlSxg6dKiuu3RycjJBQUF6aR0cHKhbt26ZsURERBTLWzhffHw8UVH6d4vt7OwwMys+QMbMzIxly5bx3HPPFVvf2rVrmTNnDgkJCbpnQSckJPDFF18AhruL/xNMTU0r3JVbZWmBZcOCY2LhVQeblo3JSUgmKzwSn7fmY1bblQtTFgJwZ9NO6s0aR5PVrxC+eTd27VvhMWU458e/qFtH2Ief0/7oF9R/aTrRe4/gOqgHTj06EOj/VLXsZ+x3u6j78qtkXAsh/eoVHAcMxtjFhbh9ewBwf/pZjB2duLt6OQCmtT2waNyE9OCrGFlb4zx8NGaeXrr3Qdud223SVO68/QY50VEYPRhvrc7MRJ1VtQu8v66oGfGEiog4DeGxah7zVmFrCX+Hals0erVWYWMB3/1Z0MLh5qAt/yZGYGmq/Ts/XztLN0CX5koi4jQkpGpQqcC7thK/hkp+CqyeVp09h+IYNdCFiJgc7kdnM3qAC9k5ao6fStKleXFaHeITc9n2XTQAPx6KZ9Ur9RnRz4mT51Np38oavyZWLHhb2+qWmaXmToR+N9KsbDUp6fnFllcq5oNxjB7kwv3obCKisxk90IXsbDXHTxaKebqHNuZvox7EHMfqgAaM7O9M4PkUOrSyoZWvNS+tuFFyzDlqUtPyqhzzngOxjBnoSkR0NhFR2Ywd5Ep2jppjJwsuEBc8U5e4xFy2fhP5YB9jWbOoEaP6uxB4PpkOrWxp5WvN/OUFrTPTx9Ti5PlkYuJzsbMx4qnBrliYqzj0Z0KV4v3pSAIj+zlxPyaX+zE5jOrnSHaOmt9OFzybdt5kd+KT8vh8T6wuz9sv1WN4H0dOBaXyuJ81LZtYsnBVmC7PhKHOnL2cRlxiHuamSrq0taGZtwVL3w+vUrzw6JWJHw/HM6q/84OKSQ6jBjhrj/Gpgp4z85+uTXxSHtu/137vfjocxzsv12dEXydOBqXQ3s8GvyZWvPxOQWvsxGGunL2cSmxCLuZmSrq2s6W5jyWvrw+rUrx7jyYyoo8D92NyiYzJYURfB7JzNPz+d0GZmDPJjfikPL74Udsjae+xRFbM82BYL3tOX0yjXQsrWja2IGBtwedtZqrAvdAEeS6OxnjVMSU1PZ+4xIr1uClMyvA/X4a//SWKccNqcS8yi3tRWYwfVousbDWH/yzokRbwXH1iE3L57Gvt8fnulyjeW+bLmCHu/PV3Ip3a2tOmuQ0vvH5Vb90KBfT1d+bAb3HVUik9fU3DoHYKIhMhIk6DXwMFNhZw/qa2It21uQJrc9h3uqBi7WKn/dfESNt67WKnvWEe/6AInbuhoU1DBb1aKTh7XYO9NXRsouDM9Ue3W7dSWqTLJBVpUW08PT35448/WLx4Mb179yYrKwtvb2+2bdvGyJEjS807Z84c3n//fb755hvdWOTjx4/TqpX+bM+TJk1i27ZtZcayZs0a1qxZo7ds69at+Pv7A9CzZ89ieb7++mvGjBljcH2TJk1i7dq1XL2qf3J//vnnadKkCevWrWPEiBGkpKTg6OhIhw4d2L9/f4UmGvu32bZpRocjBTc4fNcsAiD88++5ODUAU3dnzD0Kxpllht3j70HP4Ls2gHozx5F9P4Yr85YT9cNBXZrEwPOcHzcfn2Vz8Vn2Ahk3wzn/1DySTl+slpiTfjuKysYGt3GTMXJwJOvObW69+jK5MdoLS2MHR0xcCsbyoVTiPHw0HnXqosnPI+3Cea7PnUlOdMFNFKdBQ1GamOD1+lt624rasYWoHVurFO/lMDUWptDNT4W1uYroRA07DueR9KAR0doC7Kz0f6hmDy7o5lbbCVo20I5/XvuttlXRxEjBoA4qbC0gNx/ikjV883s+l8Oq55b3t7/GYWqi5LnxtbCyVBF6K4NX194mM6tg/c4OxnoXM8E3M3h7410mPunKhGGuRMbk8PbGu4RWc0tTSb75JRYTEyXPTaytjflmBovX3NKL2cXRGE2hXgjBNzJ4++O7TBzuyoQntTGv/PjOvxLz7l9iMDFRMntiHawtVITcyiBg9c0ix9hE7xhfvZHBig1hTB7uzsThbkTG5LBiQ5he13wne2MCZnpiY60iOTWPkBsZzH3jGjHxVRtP+N2BeEyMFcx8yg0rCyXXbmfy+nvhZGbrl4nCXRpDbmWy6rMIJgxxZtxgZ6Jic1j1aYReF2E7ayPmT6mFg60R6ZlqwiKyWfp+eLGZnSvjUSsT3+6Pw8REyaxxD793mby2Lkz/GDua6B3j4JuZvLMpnAlDXRk/1IWo2Bze2RRO6O2CeO1tjHhxap2CY3wvi9fXh1V55vwfDiViaqLk2TEu2jIRlsXSD+6RlV2op4+9EZpCTZyht7JYsyWScYOceGqQE1FxOazZHMn1QmWiYV0z3prnoft76ggXAI4GJvP+juhKxytl+J8vwzt/1D5SbO40T6wtjQi+kcaC5SH68TqZ6rV6X7mWxhvrbzB1TB2eHl2H+1HZvLH+BsFFetq0aW6Lm7NplWbrLiw4XIO5CXTyVWBlpiA2GXb/oSblwenUygxsLPQHa0/tXdAw4u6goGk9SErX8PHP2v1LzYRdv6vp4adkah8FqZnw93UNJ0Me3Yq0KJtCo6nOWYCEEP8lPxuX3KX+v2ZAbihBvZ+o6TDKze/gH7y67R+akOwf8tZkE/o/fammwyi3X7Y0p9/k6rkJ82/4dVsL+kwKqukwyu3Adj8GPRtc02FUyN5PmjxyZWLAtDKGnvyH/PxZM4bOulbTYVTIng3ej1Q5fhTLcLdRp2o6jHI7tvtxVu6u3nH3/7SAUf9O78WK+rNl6xrbducL52ps2xUhLdJCCCGEEEIIIXQUSunaXRaZbEw8Ur788kusrKwMvpo2bVrT4QkhhBBCCCH+H5AWafFIGTx4MI8//rjB94yNjQ0uF0IIIYQQQpSfQiXtrWWRirR4pFhbW2NtbV12QiGEEEIIIYT4h8itBiGEEEIIIYQQogKkRVoIIYQQQgghhI48R7ps0iIthBBCCCGEEEJUgLRICyGEEEIIIYTQkcdflU1apIUQQgghhBBCiAqQFmkhhBBCCCGEEDoyRrps0iIthBBCCCGEEEJUgFSkhRBCCCGEEEKICpCu3UIIIYQQQgghdBTStbtM0iIthBBCCCGEEEJUgLRICyGEEEIIIYTQUSilvbUscoSEEEIIIYQQQogKkIq0EEIIIYQQQghRAQqNRqOp6SCEEEIIIYQQQvw3nOvRuca23frInzW27YqQMdJC/A8L6v1ETYdQbn4H/+BnY5+aDqPcBuSGsvFATUdRMTP6QP+nL9V0GOX2y5bm9Jt8sabDKLdft7Wgz6Sgmg6j3A5s92PQs8E1HUaF7P2kySNXJgZOv1rTYZTbvk99GTrrWk2HUSF7Nng/UuX4USzDvSecr+kwyu3gjlZ8f1pd02FUyJPtpIPwo0oq0kIIIYQQQgghdJTy+KsyyS0QIYQQQgghhBCiAqRFWgghhBBCCCGEjkIpLdJlkRZpIYQQQgghhBCiAqQiLYQQQgghhBBCVIB07RZCCCGEEEIIoaNQSntrWeQICSGEEEIIIYQQFSAt0kIIIYQQQgghdGSysbJJi7QQQgghhBBCCFEBUpEWQgghhBBCCCEqQLp2CyGEEEIIIYTQUaqka3dZpEVaCCGEEEIIIYSoAGmRFkIIIYQQQgihI5ONlU1apIUQQgghhBBCiAqoVIv05MmT2b59OytXruSVV17RLd+zZw/Dhg1Do9Gwbds25s6dS1JSUrH8dnZ2rF+/nsmTJwOgUGjveAQGBtK+fXtduuzsbGrVqkVCQgLHjh3D399fLz2ASqWiVq1ajBgxgpUrV2JqagrAtm3bmDJlSrFtm5qakpWVpbcfhdczYMAAVqxYgb29fbmOxfnz53nttdc4ffo0KSkpuLm58fjjj/PRRx/h5OREWFgYXl5eevvevHlz3nzzTbp27VosjsL69OnD/v379ba1YsUKfv/9d5KTk6lbty5du3ZlwYIFeHt767Z1/vx5/Pz89NbVu3dvjhw5wl9//aV3jB9uPykpiT179pRrnw0dg8rG5e/vj5+fH+vXr9db/tVXXzFhwgSmT5/Oxo0b9d47fvw43bp10/3t4OBAy5YtefPNN+nUqVOx+J555hk2b97Ml19+yZgxY4q9f+PGDZYvX86hQ4eIjY2lVq1atG/fnhdffJHLly8bLEeFHTt2jLCwsGorb2WVqerkOGgoLiPHYuzgSNadMCI+fp/0yxdLTO80aBhOQ57ExNWdnJhoor/+nMTDB3TvO/QbhEPPPph51gcg83ookVs3kREaXOVYHTo/Rv0Xp2LbuhlmtVw4M3wW0T8dKT3PE23xXfMKVr6NyL4fw821n3F30069NG7DeuO9dA4WDeqScfMuoa+/S/SPh6sc70MX/viSM0c2k54Si6NbI7oOX0SdBo8ZTHv9wkEu/vk1sfeCyc/LwdG9Ee37zcazyRO6NHGR1wn85X1iwq+QkhBB12EBtO42udriBRg3xIW+XR2wslAReiuDDV/c5+797FLzdGpjw4Rhrrg7mxAZm8P276MJPJdiMO2o/s5MHuHGnkNxbPo6snpiHupKv64OWFlqY/7o84iyY37MhonD3HB3MSEyJoft30VxoqSYBzgzZaQ7ew7G8slXVY95/FA3+vs7YmWpIuRmBh/tuMediKxS83R+zJaJT7rr4t32XSQnzibrrXPCMDe9PAlJuYydc6XK8Y4d6ESfJ+ywslBx7XYmG7+O4m5kTql5OrayZtxgZ9ydjYmMzWXHj7GcDErVvT+iryMdW1lT282EnBwNIbcy2fZ9DBHRpa+3vB61MvHUIGf6dCk4xh9/FVVmvB1bWzN+iEvBMd4TQ+D5gmPcr6s9/f3tcXU0BuDu/Wy+3hfH2ctpVY53zABHeneyxdJCyfWwLD7ZFUN4GWWig58VTw1yxM3JmKi4XL74KZ5TFwpi8W1ozrBe9jTwMMPBzoiVn0Rw6kJ6lWMFKcOGVHcZnjDMjf7dnB6c19L5cHv5zmuTRrjj7mJKZEw2276J5K9C57UJw9yY8KS7Xp6EpFzGPH+5SrEGHv6KP37eQmpyLC61GzJwfABePoZ/my//fZBTR3YSeTeEvNwcXOo0pOew2Xi36KyX7s/92zl1ZCdJ8ZFYWtvTrG1v+oyaj7GJaZVirSkKpbS3lqXSR8jMzIx33nmHxMTEagnEw8ODrVu36i374YcfsLKyMph+69atREZGcvv2bTZs2MCOHTt466239NLY2NgQGRmp97pz545emr59+xIZGUlYWBifffYZe/fuZdasWeWKOSYmhp49e+Lk5MSBAwcIDg5my5YtuLu7k5GRoZf28OHDREZG8ttvv2FjY0P//v25fft2sTgKv77++mvd+/v27aN9+/ZkZ2fz5ZdfEhwczI4dO7C1teW1114rNc67d+8SGBjI7Nmz2bx5c7n2rbyqEldptmzZwssvv8zOnTuLHcuHQkNDiYyM5Pjx4zg7OzNgwABiYmL00mRkZLBr1y4WLFhgcN/PnDlDmzZtuHbtGp988glXr17lhx9+oHHjxrz44ouMHj1a7zPp0KED06dP11vWsWNHoHrKW0XKVFXZde1O7RkvEP3VDkJnTiX90gXqL1+NsbOLwfSOA4fi/vSzRO3YSsj0CUTt2EKd2fOxad9Rl8aqpR+Jxw9zc8ELXJ87g5yYaBqsXIuxY9VvAKgsLUi5GMqVOW+UK725Zx3a7t1Ewp9n+bPtUG68s5Gm7y7GbVhvXRq79n60+updIr78kT/aDCHiyx9p/fV67Nq1qHK8AKHnfuH49ytp13sm417eQ+0Gbdjz8XRSEu4bTB9x42/q+nRk6IxNPLXge+o0epwfN80kJvyqLk1eTia2jnXoPOhFLGycqyXOwkb0c2JYbyc+/uI+c9+8QWJyHstf8sLcrOSfi8YNLHhlRl2OnkjiuSU3OHoiiYAZdfGpb14sbSNPc/p2deBWeGa1xTyyvzNP9nFiwxcRzFl2ncTkPFYsqF9mzAEz63HkRCKzXr/OkROJBMyqZzBmby9z+vk7cutu9cQ8qr8LT/Z15qMd93h+6TUSk3NZuaBBqfE2aWDBolmeHDmRwKzXQjlyIoHFszzxqW+hly7sXiZjXrise814NaTK8Q7v48jQng58sjOa+SvDSEzJ4425dTE3LTlen/rmvDy9NsdOJfPCm7c5diqZhc/UxtvTTJemmbcFPx9PZMHbYbz23l1USnhjTl1MTarenfBRKxPD+zoytJcDG7+KYv7y2yQm5/HmvNKPceP65ix8pg7HTibx/Bu3OHYyiYXP1MHbqyDe+MRctn8Xw9zlt5m7/DYXQtJ59TkP6taq2oX9sF72DO5ux6bdMSx45y6JKXkse74OZqYlf3Y+Xma8NNWd46dTmLviDsdPp7BgmjuNCpUJMxMFt+9ls2l3TInrqQwpw//CeW2AC0/2c+HDz8N5fkkoicl5vL2wYenntYYWLJ7txZG/Epm5OIQjfyWyeLYXjRsUP6+Nnn1J93p2UdXOaxdP/sLPX7xNtyHP8vyb3+Pp04Ztq58lKc7wb/Pt0DM0bNaRSS99wuw3v6VBk8f5fN0s7ocV/Daf/2svB3avo8ew55j/zs88Oe0tLp76lQO711UpVvHfVumKdM+ePXFzc2PlypXVEsikSZPYuXMnmZkFX+gtW7YwadIkg+nt7Oxwc3PDw8ODgQMHMnjwYM6dO6eXRqFQ4ObmpvdydXXVS2Nqaoqbmxt16tShd+/ejB49moMHD5Yr5hMnTpCSksJnn31Gq1at8PLyonv37qxfv566devqpXV0dMTNzY0WLVrwySefkJGRobedh3EUfj1spczIyGDKlCn079+fn376iZ49e+Ll5cXjjz/OmjVr+OSTT0qNc+vWrQwcOJCZM2eya9cu0tOr5+5uVeMqSVhYGCdOnOCVV16hcePGfPvttwbTubi44ObmRvPmzXn11VdJTk7m1KlTemm++eYbfH19CQgI4K+//iIsLEz3nkajYfLkyTRq1Ig//viDAQMG0KBBA/z8/FiyZAk//vgj5ubmep+JiYkJFhYWxZZB9ZS3ipSpqnIePpqE/T+TsH8f2eF3iNj4AbmxMTgNGmYwvUOP3sT/8hNJvx0lJyqSpONHSNi/D5dR43Rp7r79JvF795B56wbZ4XcJX78KFEqsWrWpcryxB37n2pL1RO05VK709Z4ZQ9bdSK6+uIK0kFuEb/mW8G3fU3/+07o0Xs9PIu7wCW6u2kR66C1urtpE3NGTeD5v+LxTUeeObaVZ++E07zgSR7cG+A9fjLW9Gxf//Npgev/hi2nbczpu9Vpg7+JJ50HzsXOux63LR3Vp3Oq1oMvQhfi0GYCRkUm1xFnY0F5O7NwXw4lzKdyJyGbt5nuYmijxf9yulDyOnL+axu5fYrkXlc3uX2IJCk5jSC/9GyhmpkpefsaD97ffIy09v/pi7u3Ezr0xnDj7IOZPwzE1VeLfvpSYeztx7koqu3+O5V5kNrt/1sY8tLf+zQkzUyULnq3Le1vvkZZRPTEP7ePMzp+i+etsMncisljz6V1MTZR0a19yT6hhfZw5dyWVXftiCI/MZte+GIKupjKsj368+fmQmJyneyWnVj3mwT0c2P1rPIHnU7l7P5t3t0ViaqKkazubEvMM6eFAUHA63+6P5150Dt/uj+dCSDqDezjo0ix9P5wjgcncjcwh7F4267dH4uJoTMN6ZiWut7wetTIxpIcDu36JI/B8KnfuZ7Nu633tMX685GM8uKcD56+m882v8dyLyuGbX7XHeEjPgmN8+mIaZy6ncT86h/vROezYE0tWttpgxaoiBnW355v9CZwMSuNuZA7vfR6NqYmCLm1LjndQd3uCQjL47kAiEdG5fHcgkYshGQzqZqdLc+5qBl/tjedkUNVbzAuTMvzPl+FhfV34+sco/jqTTNi9LFZ/cgdTEwXdO5R2XnPh3OVUdu6NJjwym517ozl/NZVhffRv6Ofna4qc1/KqFOsfv27nsa5P0tZ/JC61GzBo/CJsHd04eWSnwfSDxi+i68BpeNRvjpObJ31GzcPRrS7B54/p0ty9EUS9Rq3x6zgQe+faeDfvRMsOA4i4XfUeQeK/q9IVaZVKxYoVK/jggw+4d+9elQNp06YNXl5efPfddwCEh4fz+++/M2HChDLzXrt2jWPHjvH4449XKYZbt26xf/9+jI2Ny5Xezc2NvLw8fvjhBzQaTbm3Y2GhvdOWm5tbrvQHDhwgLi6Ol19+2eD7dnZ2JebVaDRs3bqV8ePH07hxY7y9vdm9e3e5Y/2n4irNli1bGDBgALa2towfP77MVvSMjAxdb4ain93mzZsZP348tra29O/fX6/XQ1BQEFeuXOHFF19EaaD7SmXjLy9D5a2yZaqiFEZGWDTyJvXcab3lqWf/xtK3meE8Jiaoc/S7lKlzcrDwaQIqlcE8SlNTFEZG5KemGnz/n2TX3o/Yw3/pLYs9+Ae2bZqhMNKOarFv70fc4T/10sQd+gP7Dq2qvP38vByiw69Qr7F+16+6jTtx//b5cq1Do1aTm52OmaVdleMpDzdnYxzsjDl3peAiNi9Pw6XQdJo0tCgxX+MGFpy7rP8Zn7ucim+RVoVZ42tx+mIqQVer52aeNmYTbcyFtp+bp+FSSBq+pcTcpKEF54p0bz17KbXYfj43oRZ/X0gh6Gr1XNi7OZvgaGfM2aLxhqbh28iylHgt9fIAnLmcim9D/Ty13Uz4an1Ttq9pQsDMerg5V+1mi6uTMQ62Rpy/ql8mLl/LoHGDkitjjeubc77I53z+SjpNGpT8mViaa8/DqenqKsX8qJUJVyft9+78lYLj9fAYl3a8Gte30PtcAM5dSaNJCZ+LUgFd2tpgZqIg5Gblezi5OmrLRFBwwTry8jRcvp5J4/olVyB9vMwICi5SJoLTaVzFSn1ZpAzX3HntYkjp5zXfhpacvazf7fzspZRieWq7mfL1+834fJ0vi57zrNJ5LS8vh/thV2jUXH8oYKNmnbh7vXy/zWq1muysDMyt7HTLPL1bExF2hfCb2uFxCTHhhF74HR+/rpWOtaYplIoaez0qqtT5fdiwYbrWu+owZcoUtmzZAmhbUfv374+zs+Gui2PHjsXKygozMzN8fHxo2rQpAQEBemmSk5OxsrLSe/Xu3Vsvzb59+7CyssLc3JwGDRpw9epVFi5cWK5427dvz6JFi3jqqadwcnKiX79+rF69mujo6BLzpKenExAQgEql0o2RLhxH4debb74JwPXr1wFo3LhxueIq7PDhw2RkZNCnTx+AclVMy6uicXXs2LHYPv7xxx96adRqNdu2bWP8+PEAjBkzhsDAQG7cuFFsfXXq1NGt591336VNmzb06NFDL76TJ08yevRoQLvvW7duRa1WVyr+slRHeatMmaoMlY0tCpURuUWGZuQmJmJk72AwT+qZ0zj2HYR5I28AzBv54NCnP0pjY4xs7QzmcZ86g9y4WFLPnanW+MvD1NWJ7Og4vWU5MfEojY0xcdLeITd1cyI7Ol4vTXZ0PKZuVe8ynZmeiEadj4W1o95yS2snMlJjy7WOs8e2kJudiXerflWOpzzsbbQ3dZJS9O/2J6XkYW9b8pQa9rZGZebp0s6WhvXM2fZtVDVGjG4biQa3X/JN0ZJidigUc9fHbWlQz5yt1Rizgy5e/RupiSm5ZR/jZP08Scn6eUJupbN6010WrbnJ+i3h2Nsa8+6rjbC2NHyjqzzsbbTrT0rRb7VKSs3TvWeInU0JZcKm5FimjnTlyvWMMseAluVRKxMP4622712Rz6VebVO++aAxP3zchFnj3Vm+4V6ZY5lLY2er/QyTirQKJpejTCQXKUfJKfmllonqIGX4Xziv2WljSix6jiorXjsjEpP1401M1i/3ITczWLXxDgGrbvDu5nDsbY1Y/7o31laVKzcZqUmo1flY2ej3mLKydSQ1Oa6EXPr+/HUrOdkZtGjXV7esZYcB9Br+Ap+8OZ7Fk5uz+sXe1G/SDv9B0ysVp3g0VPnxV++88w7du3fnxRdfrHIw48eP55VXXuHWrVts27aN999/v8S07777Lj179iQ/P58bN24wf/58JkyYwM6dBd0yrK2ti3X3NjfXv/vYrVs3Pv74YzIyMvjss8+4du0azz//fLljXr58OfPnz+fo0aOcPHmSjRs36ibeat68uS5dx44dUSqVZGRk4O7uzrZt2/TefxhHYQ4O2gpNVVomN2/ezOjRozF60AI3duxYFixYQGhoKD4+PpVeb2Xi2rVrF02aNNFbNm7cOL2/Dx48SHp6Ov36aSsOTk5O9O7dmy1btrBixQq9tH/88QeWlpacP3+ehQsXsm3bNr3W3c2bN9OnTx/dBF39+/dn6tSpHD58mN69e+viLzx5XVVUV3krb5kqLDs7m+xs/R/uhxPvlarIZ6g9FIY/16gvt2Fk74D3e5+AQlvpTjj4K66jx4G6eNcwl5FPYe/fkxsLXkCTWz0Tr1RY0TL68LMuvNxQmursDVCkfGnLXdllLuTsPgJ//ZDB0zcUq4xXF//2djw/sZbu7yXr7zyIUT+dwsCyooq9rVDoljnZG/PsWHdeXRdGbl7Vjm23DnY8P6m27u8l74Zpt190tYqSSnIBgx/9g/87ORjz7FO1WLzmNrm5lY+5Wwd75kyuo/v7tXW3Hmy8aLhlB2zoGBdeeOZiQWtQGHD1xi22rW5Cr84OfH+gfDdvuraz4blxBRP7vPFhuHbbhspEGesqHm/JeWaMdcWztikLV98pIUXJHrUy4f+4Dc+NL/jeLfvgrnbbxcOt8PdOYWAfI6KyeeGNm1haqOjU2oZ5T9fildVh5a5Md2lrzcyxBcOU3vo4wvDGUVTiPFH2Z1JRUoaLZPkHynD3jvbMmeKh+/vVtYbPayUsKjPewpn+vljQYh12L4vgG+lsW+NL784OfLe/fOc1g4r+DGs05boeDAr8mcPff8TEeR9iZVvw23wr+DTHfvqEIZNfw6NBS+Kj77D3i5Uc2bOBHkPLN/fSf82j1DJcU6pcke7SpQt9+vRh0aJFulm4QTvxUlpaGvn5+agKdfvMz88nLS0NW1vbYutydHRk4MCBTJ06laysLPr160dqCV1C3dzcaNiwIQA+Pj6kpqYyduxY3nrrLd1ypVKp+39JLC0tdWnef/99unXrxrJly3StweXh6OjIyJEjGTlyJCtXrqRVq1asWbNGbybuXbt24evri52dHY6OxS+KC8dRlLe3tgUwJCSEDh06lDuuhIQE9uzZQ25url4lPT8/ny1btvDOO++Ue13VEZeHh0exfSxa0dyyZQsJCQm67u+gbaU+f/48b775pl5Z8vLyws7ODm9vb7Kyshg2bBiXL1/G1NSU/Px8Pv/8c6KionQ3EUC775s3b6Z37966+IODg4vNJl4Z1VneylOmClu5ciXLli3TW7ZkyRKGlhBHfkoymvw8jB30W5+N7OzJK2ECQU1ODuHr3ib8vdUY2zuQmxCPY//B5Kenk5ecrJfWecQYXMeO58bCeWTdvllCFP+s7Oi4Yi3LJs4OqHNzyYlP0qaJisPUTf+utKmLQ7GW7Mowt7RHoVSRkaK/roy0eCysS598LfTcLxz6ajEDnn6Pej4dS01bFaeCUgi9VdA909hI+6Npb6vfSmBroGWmsMTk4i07dtYqkh6so5GnOfa2xrz/esH3Q6VS0MzbkkHdHRnyzGXU5bymO3k+Ra9b6sOYHYrEbGddvAW3WMxFWvtsrQvW8TDmD5Y2Kh5zDycGT7tUrphPnk8m9GZB91BjY21HMHtbYxIKx2tjVKz1qXi8+i07ZeXJzlETdi+L2m7ln1jq9IU0rt2+VRCvrkyo9LZla116mTDUMmpnbVSsVRDgmTGutGthTcCaO8QnVXzs46NWJk4FpRF6q+C8qCsTNlX/3hn6XPLyITI2F8jlxp0sGnmaMbiHIx99Ub5Zmk9fTONaWMHMyw+Pr7b8FXyettaqYq3UhSWl5GFXpDXX1lplsExUhZThf74MB55LJuSGgfOaXfHzWqnxJuXhYFfkGJdxXsvKVhN2L5NaFTivFWZhbYdSqSKtSOtzWkoCVjal37S+ePIXvv/sVZ56/l0aNtP/bT707fu06jSYtv4jAXDz8CYnO5Mftiyh2+AZBocQikdftXyqb7/9Nnv37uXEiRO6ZY0bNyY/P5/z5/XHG5w7d478/PwSW0Offvppjh8/zsSJE/UqTWV5mLbwZGWVsWTJEtasWcP9+4Zn7iuLiYkJDRo0KDahl4eHBw0aNDBYiS5L7969cXJyYtWqVQbfN/SIMYAvv/ySOnXqcOHCBYKCgnSv9evXs337dvLyqjZZQ2XjKkl8fDw//vgjO3fu1Is3KCiItLQ0fv311xLzTpgwAbVazYYNGwD45ZdfSE1N5fz583rr+eabb9izZw/x8fH4+fnh6+vL2rVrdd29qxJ/ZZSnvJVUpgoLCAggOTlZ71V0qENhmrw8Mq5fw7p1W73l1q3bkn61jEdK5OeTGxcLajX2/j1IOXVC75ay88ixuI2bxM1FL5F5PbT0df2Dkk4G4dRD/4fOuVdnks9eRvOg7CeeDMKph/44KaeenUkMLN84qdKojExw9WjKnVD9cdp3Q05Qy6vkMdghZ/dx4MtX6DdpLfWb+lc5jtJkZqmJjMnRve7ezyYhKZfWvgVPSzBSKWjuY0nwjZLHVIbczKBVU2u9Za2bWXP1wYVhUHAaM1+7xuyl13Wva7czOH4yidlLr5e7El1azIW3b6RS0LyxFVdLiTn4Rgatm+o/FaJ1MyvdfgZdTWPG4lCee/2a7nXtVgbHTibx3OvXyh1zZpaa+zE5utediCzik3Jp3axIvD5WXL1e8nc8+EY6rYsc4zbNrLl6o+Q8xkYKPGqZkpBUvvk4ADKz1UTG5upedyNzSEjOw69JwZhFI5V2tuKQmyX/3obcytTLA9DK15LgImNznx3jSkc/axa/e4fo+PLHqRfzo1Ymih7jh/H6Fj/GRY9XYSG3MvTyALTytSK4lM8FtL2wjI3L39KUla0hKjZX9wrXlYmCG95GKmjWyJyQWyU/6ij0dhZ+jfXj9WtiScit6pvBH6QM/5fOay0al35eu3ojXS8PQJtmNqXm0Z7XzEioxA0LACMjE2p5NuX65RN6y29cPkHdRiX/NgcF/sw3mxYxeuZqGvv5F3s/JyezWIu2Qql60Avtn5vzRtSsKrdIAzRv3pxx48bxwQcf6Jb5+vrSr18/nn76adatW0eDBg24efMm8+fPp1+/fvj6+hpcV9++fYmNjcXGpuSZFEFbyYmKikKtVnP9+nXeeOMNvL299boOazQaoqKKjwFxcXEp8c6Qv78/TZs2ZcWKFXz44YelxrBv3z527tzJmDFj8Pb2RqPRsHfvXn755Zdij/IqS3Z2drFYjYyMcHJywtLSks8++4yRI0cyePBgXnjhBRo2bEhcXBy7d+/m7t27el3aH9q8eTMjRoygWTP9yaPq1avHwoUL+fnnnxkyZAigHd8bFBSkl87BwaHUmaIrG1dJduzYoWuJLfr5DBw4kM2bNzNw4ECDeZVKJXPnzuWtt97i2WefZfPmzQwYMICWLVvqpWvatClz587liy++YM6cOWzdupWePXvSpUsXFi1aROPGjUlLS2Pv3r0cPHiQ3377rdzxV0d5q2yZMjU1LV9X7kJiv9tF3ZdfJeNaCOlXr+A4YDDGLi7E7dsDgPvTz2Ls6MTd1cu126jtgUXjJqQHX8XI2hrn4aMx8/TSvQ/a7txuk6Zy5+03yImO0o23Vmdmos6q2sWSytICy4YF5dHCqw42LRuTk5BMVngkPm/Nx6y2KxemaMec39m0k3qzxtFk9SuEb96NXftWeEwZzvnxBcNQwj78nPZHv6D+S9OJ3nsE10E9cOrRgUD/p6oU60Otu01h/46XcfVohrtXKy6d2EVqYiQtOmufZ/7nT2tJS46m7wTtzaiQs/s4sGMh/sMX4e7ZkvQUbbc1I2MzTM21Fxv5eTnER93U/T8tOZqYe8GYmFpg51yvyjHvORTHqIEuRMTkcD86m9EDXMjOUXP8VJIuzYvT6hCfmMu277Rj9388FM+qV+ozop8TJ8+n0r6VNX5NrFjwtjbOzCw1dyL0hx5kZatJSc8vtrxSMR+MY/QgF+5HZxMRnc3ogS5kZ6s5frJQzNM9tDE/GBf446E4Vgc0YGR/ZwLPp9ChlQ2tfK15acWNkmPOUZOallflmPcciGXMQFciorOJiMpm7CBXsnPUHDtZ0BtkwTN1iUvMZes3kQ/2MZY1ixoxqr8LgeeT6dDKlla+1sxffl2XZ/qYWpw8n0xMfC52NkY8NdgVC3MVh/5MqFK8Px1JYGQ/J+7H5HI/JodR/RzJzlHz2+mCLpfzJrsTn5TH53tidXnefqkew/s4cioolcf9rGnZxJKFq8J0eWaOdaNLOxuWb7hHZpZa11qZkakmpwrdTuHRKxM/HklgZH8nbcUkOoeR/Z20x/hUwTGe/3Qt4hPz2P6D9tFQPx1J4J0FngzvW3CM/ZpY8nKhYzxxmAtnL6cRm5CLuZmSLm1taOZjwZL1d6sU796jiYzo48D9mFwiY3IY0deB7BwNv/9dEO+cSW7EJ+XxxY/alr+9xxJZMc+DYb3sOX0xjXYtrGjZ2IKAteG6PGamCtwLTSTl4miMVx1TUtPziUus/M1/KcP/fBn+YX8MYwe5cj9KG++YQa5k52g4GljovPZsPeITc9iyu+C8tnZxI0YNcCHwXDIdWtvSqqk189+6psszfWwtTp5PITY+R3teG+KmPa/9EV8shvJ6ot8kdm98hTpezajb0I/Tx3aTFB/J4z20c+rs37WOlMRoRs3Q9twMCvyZbz55hYHjA6jbsCWpSdoyYmxihpmF9re5Satu/PnrNmrVa6Lr2n3o2/dp0robSuU/Ow/AP0W6dpetWirSAG+++Wax2aB37tzJ0qVLmTlzJvfu3aNOnToMHDiQpUuXlrgehUKhG9NamilTpujSu7m50aVLF1asWKHXjTclJQV3d/dieSMjI3Fzcytx3fPnz2fKlCksXLgQDw+PEtP5+vpiYWHBiy++SHh4OKampjRq1IjPPvusXLONF7Z///5isfr4+BASon1W3pAhQzhx4gQrV67kqaeeIiUlBQ8PD7p3717s+dkAZ8+e5cKFC3z66afF3rO2tqZ3795s3rxZV5E+fvw4rVrp34mbNGkS27ZtKzXuisZVmi1btjBs2DCDlc7hw4czevToUifdevrpp1myZAkffPABP//8M1999VWxNAqFgieffJLNmzczZ84c2rVrx5kzZ1i+fDnTp08nLi4Od3d3OnbsyPr16ysUf3WUt+osU2VJ+u0oKhsb3MZNxsjBkaw7t7n16svkxmiPsbGDIyYuhR7fpVTiPHw0HnXqosnPI+3Cea7PnUlOdMHNA6dBQ1GamOD1uv5nH7VjC1E7KnZzqSjbNs3ocGSH7m/fNYsACP/8ey5ODcDU3Rlzj4Ljnxl2j78HPYPv2gDqzRxH9v0YrsxbTtQPBY8bSww8z/lx8/FZNhefZS+QcTOc80/NI+n0xSrF+pBP6/5kpSdy6sAG0pNjcHT3ZuiMTdg4aMfCpafEkppY0L3y0l+7UKvzOPrNGxz9puB52b7thtFn/NsApCXH8OWqobr3zh7dwtmjW6jTsB0jXyg4PpX17a9xmJooeW58LawsVYTeyuDVtbfJzCroteHsYEzhThzBNzN4e+NdJj7pyoRhrkTG5PD2xruEVnNLU0m++SUWExMlz02srY35ZgaL19zSi9nF0VhvXofgGxm8/fFdJg53ZcKT2phXfnznX4l59y8xmJgomT2xDtYWKkJuZRCw+maRY2yid4yv3shgxYYwJg93Z+JwNyJjclixIUyva76TvTEBMz2xsVaRnJpHyI0M5r5xjZhKtpI99N2BeEyMFcx8yg0rCyXXbmfy+nvhZGbrl4nCYx1DbmWy6rMIJgxxZtxgZ6Jic1j1aYReF+H+/tpJ/1a+pH8DaP22+xwJ1B8uUlGPWpn4bn88psZK7TG2VBF6K5PX371b7BgXbjEMuZnJqk33GD/UhfFDXIiKzeGdTfe4drsgXjsbFfOfroWDrRHpmdqu/kvW3y02e3ZF/XAoEVMTJc+OcdGWibAsln5wj6zsQr2T7I3QFAo49FYWa7ZEMm6QE08NciIqLoc1myO5XqhMNKxrxlvzCq67po7QPgbpaGAy7++o/KSbUob/hfPazzGYmiiZPdnjwXktnYBVN0qN9+r1dFZ8FMbkEe5MGuFOZHQOyz+6rdfN3dnBhEWzHpzXUvIIvpnBnKVVO6+1aN+f9LQkjuzZQGpSLK51GjH5pY3YO2l/m1OTYkmKL/htPn10F+r8PH7a/iY/bS8Yite681BGPqt9DHC3ITMABQe/fZ+UxGgsbRxo4udP75FzKx2n+O9TaP7JZ+wIIWpUUO8najqEcvM7+Ac/G1dtArx/04DcUDYeqOkoKmZGH+j/9KWaDqPcftnSnH6Tq+emxr/h120t6DMpqKbDKLcD2/0Y9GxwTYdRIXs/afLIlYmB06/WdBjltu9TX4bOulZ2wv+QPRu8H6ly/CiW4d4Tqj7c6d9ycEcrvj9dtceP/duebPffHD99fVz/Gtt2oy9/qbFtV8R/85MTQgghhBBCCCH+o6QiXYovv/yy2HOBH76aNm1a0+H94/6/778QQgghhBD/HylVihp7PSqqbYz0/6LBgwfz+OOPG3yv8POK/1f9f99/IYQQQgghhDBEKtKlsLa2xtrauuyE/6P+v++/EEIIIYQQQhgiFWkhhBBCCCGEEDry+KuyyRhpIYQQQgghhBCiAqRFWgghhBBCCCGEjkIp7a1lkSMkhBBCCCGEEEJUgFSkhRBCCCGEEEKICpCu3UIIIYQQQgghdGSysbJJi7QQQgghhBBCCFEB0iIthBBCCCGEEEJHWqTLJi3SQgghhBBCCCFEBUiLtBBCCCGEEEIIHXn8VdnkCAkhhBBCCCGEEBUgFWkhhBBCCCGEEKICpGu3EEIIIYQQQggdmWysbAqNRqOp6SCEEEIIIYQQQvw3hM8aXmPb9tjwXY1tuyKkRVqI/2Gvbsup6RDK7a3JJmw8UNNRlN+MPvCzsU9Nh1EhA3JDmb0uuabDKLcP59syct7tmg6j3L5514tRL4bVdBjltnutJ9OWx9V0GBXy2WInnluTVNNhlNtHL9kx94O0mg6j3NY/b8WLG9JrOowKWTvLkqlvxtZ0GOW2+TXnR64M95kUVNNhlNuB7X50HvRbTYdRIX/u7VrTIRgkk42VTY6QEEIIIYQQQghRAVKRFkIIIYQQQgghKkC6dgshhBBCCCGEKKCQycbKIi3SQgghhBBCCCFEBUiLtBBCCCGEEEIIHXn8VdmkRVoIIYQQQgghhKgAqUgLIYQQQgghhBAVIF27hRBCCCGEEELoyHOkyyZHSAghhBBCCCGEqABpkRZCCCGEEEIIoSOTjZVNWqSFEEIIIYQQQogKkBZpIYQQQgghhBA6Mka6bHKEhBBCCCGEEEKICpCKtBBCCCGEEEIIUQHStfsRFBUVxfLly/n555+JiIjAxcUFPz8/5s6dS48ePQA4ceIEb731FoGBgWRmZtKoUSMmT57M3LlzUalUunUpFApMTU0JDQ2lXr16uuVDhw7Fzs6Obdu2oVCUPtnApEmTSk339ddfM2bMGI4fP063bt1o2rQpFy5c0IvDzs6O9evX4+npSbdu3Urd3tatW5k8eXKJ7z/cTmJiInZ2dsXeX7p0KcuWLSu23MfHh5CQEAD8/f357bffdLE/tH79etavX09YWJhuWU5ODu+99x5ff/01oaGhGBkZ4enpyaBBg5g1axabNm0yuL3Cbt++zbZt29izZw9BQUF674WFheHl5cX58+fx8/MrdT0V1c5HyRPNVFhZQEyihl9O53MnRmMwrZU59GuropajEkcbOBms5pfT+XppfOsq6NpChYONApUC4lM1/HVZTdAtdbXFfOGPLzlzZDPpKbE4ujWi6/BF1GnwmMG01y8c5OKfXxN7L5j8vBwc3RvRvt9sPJs8oUsTF3mdwF/eJyb8CikJEXQdFkDrbpOrHKdD58eo/+JUbFs3w6yWC2eGzyL6pyOl53miLb5rXsHKtxHZ92O4ufYz7m7aqZfGbVhvvJfOwaJBXTJu3iX09XeJ/vFwleN96ImWJvR4zBRbSwWR8Wq+O57JzYj8EtM3rKPiya7muDsqSU7TcPhMNn9ezNFL49/KhCdammBvoyQ9U8P5a7n89GcWeSWvtsJG9rGjZwdrrMyVXL+bzWffxXMvKrfUPI+3sGBMP3tcnYyJjsvl618SOX0pQy9N707WDOlmi52NintRuWzdE0/Irewqxdq7ozWD/W2wszHiXlQO235MIOR2yetsUt+USYMdqONmQmJKHj8dS+FQYKr+vjS3YHRfu4J9+TWJvy9nlLDGivFvY0af9ubYWSm5H5vPzkNpXA/PKzG9d10jRve0opaziqRUNftPZvLbuSzd+x1bmPL0IOti+Wa8HVctZeIJPxN6tjXF1lJJZFw+3x4ruwwP9zfH3UlFcpqaQ39n8+eFgjI8Z7QV3h7FL5cu38rl4+/Tqx4w0Km5Ed1bmWBjqSAqQc0Pf2Rz637J580GtZQMfcIUNwclyekajp7L4cTlgs9EqYRebYxp28QYW0sFMUlq9v6VQ8jd6vnSdWxqhH8rY2wstPH++FcOtyMNx2ttoWBwRxPqOCtxslPw58U8fvwrp1i65vVV9G1ngpOtgrhkDb+eyuHy7eqJt1sbM/p0sMDOWklEbB47D6RzPbzk84N3XWNG97aktrMRSalqfj2RoVeGO7Uw5ekhNsXyPbsi9v9tGQYYP9SN/v6OWFmqCLmZwUc77nEnIqvUPJ0fs2Xik+64u5gQGZPDtu8iOXE2WW+dE4a56eVJSMpl7JwrVY736bH1GNzHHWsrI65eS2Xdxuvcvlv6ebNrRyemjfOktrs5EZGZfLrjNr+fjNe9b26uYvo4T7p0cMLe1phrt9J479ObhFxPLWWt/00y2VjZpCL9iAkLC6NTp07Y2dmxatUqWrRoQW5uLgcOHOC5554jJCSEH374gVGjRjFlyhSOHTuGnZ0dhw8f5uWXX+bkyZPs3r1br9KrUCh4/fXX2b59u8FtRkZG6v6/a9cuXn/9dUJDQ3XLzM3Ndf/funUrffv21ctftDJ78+ZNPv/8c6ZMmVJsWx07dtTb3pw5c0hJSWHr1q26Zba2tmUcpbI1bdqUw4f1Kx9GRvpfBzMzM1599VWGDx+OsbGxwfVkZ2fTu3dvLl68yLJly+jUqRO2trbcvHmTPXv28MEHH7B48WJmzJihy9O2bVueeeYZpk+frlvm7Oxc5X2qqGaeSvq3U7H3ZD53Y9S09VExsZcR7+/JJdnA76qRCtKz4LeL+XT0NdyZJTMHjl/MJy5ZQ74afOooGdZZRVqWhhv3DVfQKyL03C8c/34l3UcuoVb91lz6ayd7Pp7OxEU/Y+NQq1j6iBt/U9enI50GzsPU3IYrp77nx00zGTt/Ny4evgDk5WRi61gHb7++HP9hZZVjfEhlaUHKxVDubf+eNt98WGZ6c886tN27ifDN3xA0aQH2HVvT7IMl5MQmEPXDQQDs2vvR6qt3ubbkPaJ+PIzbkJ60/no9gf5PkXT6YpVjbu1tzHB/M3YdyeTW/Xw6tzBh1jBL3tqeSmJq8c/P0UbBzGGWnLiUw/Zfc6hfS8XoHuakZaoJuq69qH+ssTFDnjDjy4OZ3Lqfh4u9igl9tOeM738r/QKrvIZ0t2Wgvy0ffRVLZGwuw3vZ8doMN+asvEdWtuFy513PlHkTXdj5q7by3K65BfMmufDa+5HcuKut1Hb0s2TKUEc+/TaO0NvZ9OpozeJn3Jj39j3ikip3tdzBz4LJQxz47Pt4Qm9n07ODNYumuzJvVQTxBtbp7GBEwDRXjpxK44Ov4vDxMmXak46kpOVz6kGlv1E9U+ZOcGbX/iROX86gXTML5k105vUPI7lxt3iFpSLaNjFhTC9Lvtyfxo3wPLq0NmPOGFte/ySRhJTiFScnWyVzRtvye1AWn/2YSkMPI8b1tSI1Xc250IJYMrLUvLoxUS9vdVRAWvsYM6KbObsOZ3IzIo/OLU15brgVb25NMVyGbZXMGm7FXxdz2PZLBg1qGzG6pzlpGRqCrmsrWp/+mI5RoVOepbmCgEnWnA8t/UZNebVqZMSwJ0z59ng2tyPz6djMmGcHmbPyywyS0orH7GCj4JnB5py8kssXB7Pwclcxwt+UtEwNF29qD+KA9ia08TFi19FsYhLVNK6r4ukBZrz3TSYRcVW7senXUMWQziZ8/3sOt6Py6eBrzPSBZqz6OtNgvEYqSMvScPhcLl1bGL7srOeqZEJvU/afzuXyrTya1TdiYm9TPvwhi7sxVYu3ra8pY/pY8cUvady4l0vX1mbMfcqW1z5OMFyG7ZTMHWvL7+cz+WxPKg3rGDO+vxVpGWrOhuiX4cUbEvTy/n8twwCj+rvwZF9n1n56l3tR2Tw12JWVCxow9ZVgMrMMf4ZNGliwaJYn27/XVp47trFl8SxP5i+/Tuitggpt2L1MXll1U/e3Wl3164lxwz0YPbQOy9eHEh6RwaTR9Xj3jRaMnfk3mZmGP8imPjYse9mXz764ze8n4+jS3ok3Fvoya2EQV69pK8qvPO9N/XqWvLkuhLiEbPr4u7L+zRaMn/U3cQlVOx+L/x7p2v2ImTVrFgqFgtOnTzNixAi8vb1p2rQp8+fP5+TJk6SnpzN9+nQGDx7Mpk2b8PPzw9PTk2nTprF9+3a+/fZbdu/erbfO559/ni+++IJLly4Z3Kabm5vuZWtri0KhKLbsITs7O7333NzcMDMzK7a9JUuWkJVV/CLaxMREL6+5uTmmpqbFllWVkZFRsTidnJz00owdO5bk5GQ+/fTTEtfz7rvv8ueff3L06FFeeOEF2rRpQ8OGDenTpw8ff/wxK1aswMrKSm87KpUKa2vrYsv+bZ2aKjl7Xc3Z62pik+GX0/kkp0M7H8OxJKVp0wTdVJNdwm/v7SgNwXc1xCZDQioEBquJTtRQz7V6TjXnjm2lWfvhNO84Eke3BvgPX4y1vRsX//zaYHr/4Ytp23M6bvVaYO/iSedB87Fzrsety0d1adzqtaDL0IX4tBmAkZFJtcQJEHvgd64tWU/UnkPlSl/vmTFk3Y3k6osrSAu5RfiWbwnf9j315z+tS+P1/CTiDp/g5qpNpIfe4uaqTcQdPYnn85OqJebubUwIvJxD4OVcohPUfHc8i8RUNU+0NHxcOrc0JTFFmy46QU3g5VxOXs6hRxvTgphrqbh1P58zIbkkpGgIuZPHmZBc6rpWX5kf0NWG7w8lcfpSBuFRuXz4VSymJgo6t7YqNc/Fa5nsOZLM/Zhc9hxJ5vK1TAZ0LWhlGuhvw9FTqRw9lUZETC7b9iQQl5RH707FW6LKa2AXW46eLljn9h8frLNj8RZagN4drIlLymP7jwlExORy9FQax06nMci/IIYBXR7sy9EH+3I0mcvXsxjQpfJxPtTrcXP+DMrij6BsIuPz2XUoncSUfPxbmxlM37W1GQkp2nSR8fn8EZTNnxey6NO++Hk7JV2j96oOPR4zJfBSDicu5WjL8LFMbRn2MzWYvnNLE20ZPpZJdIKaE5dyCLyUQ4+2BekzsjSkZBS8GtczJicXzl2rnotifz9jTl3N4+TVPKITNfzwRw5JaRo6Nzd8A7dTM2OSUrXpohM1nLyax6mreXRvVfA9fczHiMNncgm+k098ioa/LucRejefbq0Mr7MiurQ05nRwHqeC84hJ1PDjX9p4OzYzXElOTNXw4585nA3NI7OEQ9alpTHXwvM5ei6XmCQNR8/lcj0iny4tqx5v7/bm/HE+iz+CsoiMy2fnwXQSUvLxf8zwtYR/G3PiU7TpIuPy+SMoiz+DsujTwaJYWinDBYb2cWbnT9H8dTaZOxFZrPn0LqYmSrq1ty8xz7A+zpy7ksqufTGER2aza18MQVdTGdZHv3EhPx8Sk/N0r+TUqt+xGDm4Np/vvsvvgXHcvpvB8ndDMDVV0burS4l5Rg2pzZmgRL74Npy79zL54ttwzl5IYtTgOgCYmCjp2tGZDVtvceFKMhGRWWz5+g6R0VkM61/8Zv9/nUKpqLHXo0Iq0o+QhIQE9u/fz3PPPYelpWWx9+3s7Dh48CDx8fG89NJLxd4fNGgQ3t7efP21fqWjY8eODBw4kICAgH8s9sLmzp1LXl4eH35YditdTbKxsWHRokW88cYbpKcb7vr09ddf06tXL1q1amXw/bK6xdcUlRJqOSq4UaTr4I37auq6VF/M9d0VONkoCIuqetfu/LwcosOvUK9xZ73ldRt34v7t8+Vah0atJjc7HTNLuyrHU93s2vsRe/gvvWWxB//Atk0zFA96S9i39yPu8J96aeIO/YF9B8PlryJUSvBwVRF8R7/LbvCdPLxqGb5A9nIvnv7qnTzquqp4ONnnrYh8PFxU1HPTVpwdbRU09TLiyu2SuwZXhIujEfY2RlwIzdQty8uHqzey8PEyfOEJ4O1pppcHICg0Ex9PbQXRSAX165gWS3MxNBMfz5LXWxqVCurXMeFCqP5NxIuhWbrtFtWonikXi6QPCs2kvocpqgfH2LueKRev6ae5EJqJdz3D6yx3vEqo527Eldv6d86u3MqlQR3DFZwGdYy5cqt4+nruRrp4AUxNFLwz255Vz9vz/CgbPKrhxoquDIcVKcNhedQvoQzXdzcymL5eoTJcVIfmJpwNySGnGhrzVEqo46Ik5K5+DCF38/B0N3xMPN1UBtN7uCh1MRupFOTm61fscvM01K9VteOsUkIdZyWh4foVmdDwfDyr8BnWc1Vyreg67+ZTz61ql6m6MnxLv8J49WYODesYLhMNahtx9aZ++ss3cwyW4VXPO7B6jgMvjLahrlvVO3k+imUYwM3ZBEc7Y85eLui+nJun4VJoGr6Nil+vPtSkoaVeHoAzl1Pxbaifp7abCV+tb8r2NU0ImFkPN+eq3fSu5WqGk4Mpp88X9IrJzdMQdDmJZo1LvgHZrLENp8/r90I4dT6BZk20eVQqBUYqBTk5+tc82TlqWvhWvTel+O+RivQj5MaNG2g0Gho3blximmvXrgHQpEkTg+83btxYl6awlStXsn//fv74448qxTh27FisrKz0Xrdu3dJLY2FhwZIlS1i5ciXJycklrOmfdenSpWJxTps2rVi6WbNmYWZmxrp16wyu59q1a/j4+OgtGzZsmG6dHTt2rHJcTZs2rdA6ysPCFFRKBWn6dQTSMzVYmVetIm1qDK+NM2bZRGMm9DRi36l8bkZW/U59ZnoiGnU+FtaOesstrZ3ISI0t1zrOHttCbnYm3q36VTme6mbq6kR2dJzespyYeJTGxpg4ae/om7o5kR0dr5cmOzoeU7eqDw2wMlegUipILdKqkpqhwcbCcJmwsVSQmlEkfboGlUqhK0dnQ3P5+UQW80Zb8t4cG5ZNteFaeB6H/q7aOOOH7Ky1F+9FWyiS0/J175WUr1ie1HzsbLR5rC1VqFQKkoqkSSqUpqJsHqwzOa38sdrZqAymN1IpsLZU6falOuN8yMpCiUqpICVN/6IwJV2NrVVJZUJJSnqR9GlqjFQKrB6Uo6i4fLbuTeOD3Sl8uieV3DwNr0yyw8W+apckD8twSob+9lMz1NhYGo7X2lJBapH0KRlqvTJcWD03FbWdVZy4VD0teZYPv3dFv0eZJX/vrC0UpGYW/56qVAqszLR5Qu7m4e9njJOtAgXg7aGimZdRiceh3PGaKR78duhvPy1Dg3UJ8ZaHwX0q5RiUf70PynCRMpmcrsHWynB5s7HSjjsvLCX9YRnW5omMz2fLT6m8vzuZTd+nkpsPr0y2w8Whit+5R7AMAzjYaiv5iSn6NfPElFzsbUu+wWBva0RSsn6epGT9PCG30lm96S6L1txk/ZZw7G2NeffVRrrzX6XitddWxBOS9I9BYlKO7j2D+exMSEwqso9Jubo8mZn5XApOZvKYejg6mKBUQm9/F3y9rXEsZb3i0SVjpB8hGo32xF6eVs6HaQ0tN5Tf19eXiRMnsnDhQk6cOFHpGN9991169uypt8zDw6NYuqlTp7Ju3TreeecdVqxYUentVZaPjw8//fST3jJr6+JdK01NTXnjjTeYPXs2M2fONLiuosdzw4YNpKen8/777/P7779XOa6IiAj8/f1LzZednU12tn7FxNTUFKjgRUg1NEbn5MJHP+ViYqyggbuCfu1UJKZpuB1VPd3eKHK8tWW97MBDzu4j8NcPGTx9Q7HK+H9G0e/tw30tvNxQmhK+79VBAZS69jJCblRHRZ/HTdl1JJM7Ufk42SkZ4W9OSrqG/acqXpnu3NqSZ0cVDMNY+Wm0oTC0kZdxWAwdtmLnzqL7V0K+ijC43Qqkf1jaS8tTncWi6GrKWreh9FCQ59b9PG7dL2hBuxGeymvT7OjR1pyvD1bDxEcGP9dSkpdwfA2tp2NzEyJi87kTVY0z5RlQ6e/dg7+//z2bMT3MWDTeAg0Qn6zhVHAujzepeldpMHA8q6Mj0z/wXStx3WV+P/Tf1H3nHmS6FZHHrYiHZTifG+G5vD7dnh5tzfj6wP9+Ge7WwZ45k+vo/n5t3S2D21OU5zxcdIFCP8+ZiwUt1mHA1Ru32La6Cb06O/D9gfLdRO/V1YUFz3nr/n75jUuGN64oz+9G8QSFF725LoSAOT78uL0Defkart1M5dBvMXg3KHmo0X/WI/Yc6Q0bNrB69WoiIyNp2rQp69ev54knnigx/ZdffsmqVau4fv06tra29O3blzVr1uDoWP5rRKlIP0IaNWqEQqEgODiYoUOHGkzj7a09UQQHBxtsDQ0JCcHX19dg3mXLluHt7c2ePXsqHaObmxsNGzYsM52RkRFvvfUWkydPZvbs2ZXeXmWZmJiUK06A8ePHs2bNGt566y08PT313mvUqJFupu+H3N3dAXBwcKiWuIpOgmbIypUri80MvmTJEvBcZDB9RjbkqzVYFRkiZmlWvKWhojRox0eDhqgEDc62Cro0V3E7qmpdec0t7VEoVWSk6LfaZqTFY2HtVEIurdBzv3Doq8UMePo96vlUrJfAvyU7Oq5Yy7KJswPq3Fxy4pO0aaLiMHXT31dTF4diLdmVkZapIV+twbpIq4eVRfHWsodS0g2nz8/XkJ6lzTOgoxmng3MJvKy9i38/To2pcRZje5pz4FR2WdcsxZy5ksGNNRG6v42MtNu3s1aRlFJwYWhrpSQpreQLRUMttrbWKpJTtS07qen55OdrSkhTuQvQlIfrLNL6bGtV8jqTUoq3VttYqcjL15CWnl+wLxVYZ3mlZajJVxdvubO2UJY4HjQlXY2tZZH0lkry8jWkl3Bu0QBh9/Oq3Jr3sAzbWCqBgn23tlCWWIZT0x+mRy99fr6GtCz9PMZG0KaxCfv+KtKVpwrSH37virS8WpmX/L1LNdD6a2Wu/71Lz4LNP2dhpNKe15PTNQzqaEK8gcm1KhRvVsXjLY+S9qloK3XF16stwzZFyrCNRfFW6odS0ipbhnNxdajaZfWjUoZPnk8m9GbBDQNjY+327W2NSUgu+K23szEiMaXk3/7E5DzsbfVv7pSVJztHTdi9LGq7lX+IzZ+n47l67Yzub5MH8TrYmxCfWNAqbW9rXKyVurAEAy3W9nbGJBbKcz8qi+cDLmBmqsTSwoj4xByWvdyEyOjqmVxTGLZr1y7mzp3Lhg0b6NSpE5988gn9+vXj6tWr1K1bt1j6P//8k4kTJ/Luu+8yaNAgIiIimDFjBtOmTeOHH34o93YfrVsN/885ODjQp08fPvroI4NjdpOSkujduzcODg6sXbu22Ps//fQT169fZ+zYsQbX7+HhwezZs1m0aBH5+f/s3XaAkSNH0rRp0zIfDVXTlEolK1eu5OOPP9Z77BVou7IfOnSI8+fLN0b3nxIQEEBycrLeq7Qx7/lquB+voWEt/VNAw1pK7pbw+KvKUqAdb1pVKiMTXD2acidUfxzx3ZAT1PIqeYxwyNl9HPjyFfpNWkv9pv5VD+QfknQyCKce+pV8516dST57GU2e9qIi8WQQTj066aVx6tmZxMCql798NYRH59O4rv6FYON6Rty+b/ii5nZkPo3r6advUs+Iu9H5qB9co5oYK4q1lqjVaAtGJVqxsrI1RMXl6V73onJJTMmjhU/BXSEjFfg2NCO0lEdKXQvLooW3/p2klj7mhIZpL3by8uHWvexiaVp4mxMaVrlu6fn5cOteDi289ccut/A20223qOt3soulb+ljxq3wbPIfHONrd7JpbmCd1+5U7cItXw13IvPw9dK/0PX1MubmPcODK2/eyy2WvqmXMXci83TxGuLhqn1sT1XjDY/Op7FnkTLsaaTXAl7Yrci8YumbeBpxp1AZfqiNjwlGKvj7avXNdJyvhnsxanyKPJrIp64RYZGGf4fDovLxKfo9rWtEeIy6WMx5+dpuzEoltGhgVOXHSeWr4V6sGm8P/ZO6dx0VYdGVX/edaAPr9FBxp4rzazwsw03r61d+fOubcOOe4TJxMyIP3yLpm9Y3KbsMuxkVG4ZRmXgfhTKcmaXmfkyO7nUnIov4pFxaNyvo2WekUtDcx4qr10tuoQ++kU7rpvq9Ads0s+bqjZLzGBsp8KhlSkJS+fchMzOfiMgs3ev23QziErJp61cwEZqRkQK/ZnZcDkkpcT2XQ1L08gC0a+XA5eDiebKy1cQn5mBtaUS7Vg78eSq+WJr/OoVCUWOvilq3bh1Tp05l2rRpNGnShPXr1+Ph4cHHH39sMP3Jkyfx9PTkhRdewMvLi86dO/Pss89y5swZg+lLIhXpR8yGDRvIz8+nXbt2fPfdd1y/fp3g4GDef/99OnTogKWlJZ988gk//vgjzzzzDBcvXiQsLIzNmzczefJkRowYwahRo0pcf0BAAPfv3y/2aKjySkpKIioqSu9V0kRdAG+//TZbtmwpNU1lXbp0iaCgIL3XQ3l5ecXijI6OLnFdAwYM4PHHH+eTTz7RWz5v3jw6dOhA9+7dee+99zh37hy3b9/mwIED/Prrr//abNympqbY2NjovbRdu0v21xU1bRopad1QibOt9hnRtpbwd6j2QqBXaxXDO+vH7+agwM1BgYkRWJpq/3YuNH9Gl+ZKGrgrsLcCJ1vo6KvEr6GSoJvV8xzp1t2mcDnwWy4Hfkt81E2Of7+C1MRIWnTWPuv7z5/Wsn/Hy7r0IWf3cWDHQroOXYi7Z0vSU2JJT4klO7Ogq1h+Xg4x94KJefCs6bTkaGLuBZMUe6dKsaosLbBp2Riblto5DSy86mDTsjFmHtoeCz5vzafl1nd06e9s2ol5vVo0Wf0KVo3rU2fycDymDOfWui26NGEffo5Tr07Uf2k6lj71qf/SdJx6dCDsA8OPrquoo2dz6NjchPZNjXF1UPJkVzMcrJX88eB5pIM7mzKhb0HF8s8L2TjYaNO5Oihp39SYDs1MOHK2oKJ5+VYunVuY0MbHGEcbBY3rGjGwkymXbuZWW7fNn39L4cmetrRrboGHmzHPjXUmO0fDn+fSdGlmP+XEUwMKLoB+/j2Flj7mDOluSy0XY4Z0t6W5tzk//1ZwQbTveAo92lvTrZ0VtV2MmTTUASd7Iw6eqPzzQPf9nkyPxwutc7A9TvZGuudCj+1vx3NjC3odHAxMxcneiImD7antYky3dlZ0b2fN3uMFcf7yRwotvc0Z0s1Guy/dbLT78nvJF4TldehUJk/4mdGppSnujipG97TEwVbF8QfP1H3S34KnBxV0WfztXBaOtipG9bTE3VFFp5amdPYz48DJghawQU+Y07S+MU52SjxcVUweaIWHq5Hec3or68iZbDo2N6FDMxNcHZQM99eW4T8vaMvk4CfMmNivYPblPy/kaMuwv7YMd2hmQofmJhwxMIa/Q3MTLtzI1bX6VpfjQbm0b2rE402McLVXMLSzCfZWCv560ItjYAcTxvUqOJ//dTkXe2ttOld7BY83MeJxXyOOni9oFavnqqRFAxWONgrq11IyY7AZCoX2O15Vv1/I5fEmRrRrbISLvYLBnUywt1YQ+OA51v3bGzO2h35FtJajklqOSkyNtS3NtRyVuNoXXCz/cTEXbw8V3VoZ42KnoFsrY7zrqPj9QtVvWhw8mckTrczo3NIMdycVo3tpy/BvZ7Vl8snulkwdUlCZO342E0dbbTp3JxWdW5rxRCszDgQWPI5pcBcLvTI8ZZC2DB8/+/+zDAPsORDLmIGudGxjS73aZrw0vS7ZOWqOnSyY0GvBM3WZMtK9IM/BWNo0s2ZUfxc83E0Z1d+FVr7W/FCoy/b0MbVo7mOJq5MJPvUteHW2JxbmKg79qT/pV0V981MEE0bWpUt7R7zqWrB4rg/Z2fkc/C1Gl+bVeT48O9FLL0/bVg6MG+5B3TrmjBvuwWMt7dj90z1dmnat7Hm8tT3urmY85mfP+ytaEh6Rwc+Ho6oU7/832dnZpKSk6L2KDmF8KCcnh7Nnz9K7d2+95b179y5xuGrHjh25d+8ev/zyCxqNhujoaL799lsGDBhQoTila/cjxsvLi3PnzrF8+XJefPFFIiMjcXZ2pk2bNrq7LiNGjODYsWOsWLGCLl26kJmZScOGDVm8eDFz584t9U6Pg4MDCxcuZNEiw12Cy2Lo2dArV67klVdeMZi+e/fudO/enYMHD1Zqe6Xp0qVLsWUPx7ZcuXJF1wX7IVNTU4OP5HronXfeKdZd3szMjCNHjrB+/Xq2bt1KQEAAarUaLy8v+vXrx7x586phT/4Zl8PUWJhCNz8V1uYqohM17DicR9KDexrWFmBXZEKh2YMLWppqO0HLBtrxz2u/1V7smBgpGNRBha0F5OZDXLKGb37P53JY9VSkfVr3Jys9kVMHNpCeHIOjuzdDZ2zCxqE2AOkpsaQmFjyH/NJfu1Cr8zj6zRsc/eYN3XLfdsPoM/5tANKSY/hy1VDde2ePbuHs0S3UadiOkS/sqHSstm2a0eFIQX7fNdrvVPjn33NxagCm7s6YexSUwcywe/w96Bl81wZQb+Y4su/HcGXect0zpAESA89zftx8fJbNxWfZC2TcDOf8U/Oq5RnSAOeu5WJprqBfezNsLBVExqvZ8EO67tmlNpZKHKwL7r/Gp2j4+Id0hnc154mWJiSna/j2WJbuGdIA+09mo9HAwE6m2Fppn216+VYue/+qvm5uPx5NxsRYwbQRjliaK7lxJ5u3NkbpPUPayd5Ir+J+LSyb9TtiGNPPnjH97ImKz+Xd7TG6Z0gDnAhKx8pSyYg+dtjbGBEemcOKTdHEJVZ+mEJgUAbWFgkM72WHvY2K8MgcVn4WTVyi9gaWvY0RTnYFP82xCXms/CyaSUMc6NPJhsTkPLbuSdA9Q1q3L1/EMqafPaP7avdl/Y7YKj9DGuDv4BwsLdIZ1NkCWysl92PzeW9nsu75u7ZWShxtC264xSWreW9XMqN7WdGtjRlJaWq+Ppiu9wxpC1MlE/tbYWOpJDNbw92oPFbtSC6x50NFnAvNxdI8k34dHpThuHw2fJ9GQor2w7e1VGJvU6gMJ6vZ8F0aw7uZ08XPlOR0Nd8czdQ9f/chF3slDesY8cE3aVS389fzsDCDPu1MdN+7T/ZmFvreKbAv1DU5IUXDpp8yGfqEKZ1bGJOcpuH737N1z5AGba+M/u1NcbRRkJ2rnX3/i0OZJT5+qiKCbuRjYZpDr8eMsbE0ITJezWf7skh88AxpGwsFdkW6Ur84uuAGnIcLtPY2IiFFzfIvtJXZsCg1XxzMpt/jJvRtZ0x8ioYdh7Kr/AxpgL+vZmNlrmBQF20ZjojN472vk4lP1q7bzkqJQ6EyEZekZv3XyYzpbUm3x8xJSlXz1f40vWdIm5sqmDTAGhurQmV4e9L/2zIMsPuXGExMlMyeWAdrCxUhtzIIWH1T7xnSzg4meq3kV29ksGJDGJOHuzNxuBuRMTms2BCm9wxpJ3tjAmZ6YmOtIjk1j5AbGcx94xox8VW7yfLld+GYmiiZP7MR1lbGXL2WwrzXL+o9Q9rV2YzCj6y+HJLC0lVXmT7Bi2njPImIyuT1VcG6Z0gDWFka8exEL5ydTElJzeW3E3Fs2nGb/Pzqv3nxT1PU4BjpkoYsLl26tFjauLg48vPzcXV11Vvu6upKVJThGxgdO3bkyy+/ZPTo0WRlZZGXl8fgwYP54IMPKhSnQlPSrFRCiEfeq9uqb1bOf9pbk03YeKCmoyi/GX3gZ2OfshP+hwzIDWX2upqZKb8yPpxvy8h5t2s6jHL75l0vRr0YVtNhlNvutZ5MW1718fX/ps8WO/HcmqSaDqPcPnrJjrkf/DMVl3/C+ueteHFD9fcQ+yetnWXJ1DfLN+nUf8Hm15wfuTLcZ1JQTYdRbge2+9F50G81HUaF/Lm3a02HYFDc61NrbNvWizcYnETXUG/L+/fvU7t2bU6cOEGHDh10y5cvX86OHTuKzWUEcPXqVXr27Mm8efPo06cPkZGRLFiwgLZt27J58+Zyxykt0kIIIYQQQggh/hNKqjQb4uTkhEqlKtb6HBMTU6yV+qGVK1fSqVMnFixYAECLFi2wtLTkiSee4K233irWa7UkMkZaPHL69etX7FnLD1818SgtIYQQQggh/pcolIoae1WEiYkJbdq04dChQ3rLDx06ZPAJRgAZGRkoi3RdfzivUUU6a0uLtHjkfPbZZ2RmGn50Q2UeOSWEEEIIIYR4NM2fP58JEybw2GOP0aFDBzZt2sTdu3eZMWMGoJ1MOSIigs8//xyAQYMGMX36dD7++GNd1+65c+fSrl07atWqVe7tSkVaPHJq165d0yEIIYQQQgjxv6sGJxurqNGjRxMfH88bb7xBZGQkzZo14//Yu+voKK63gePfuHtCjDhJgOBS3N0pbkUKlALFKRRogRq0FIoUKRQv7u4Oxd1CgmvcXff9I2XDshsjtCm/9/mcs+ews8+deXa4mZ07986dffv24ebmBkBQUBDPnj1Txvft25e4uDjmz5/PmDFjsLS0pGHDhvz88885bUIjaUgLIYQQQgghhPhgDRkyhCFDhmj8bOXKlWrLhg0bxrBhwwq1zQ/nUoMQQgghhBBCCPEfID3SQgghhBBCCCGUCjrp1/9H0iMthBBCCCGEEEIUgPRICyGEEEIIIYRQ0tKS/ta8yB4SQgghhBBCCCEKQHqkhRBCCCGEEEJkk3uk8yQ90kIIIYQQQgghRAFIQ1oIIYQQQgghhCgAGdothBBCCCGEEEJJS1v6W/Mie0gIIYQQQgghhCgA6ZEWQgghhBBCCKGkJZON5Ul6pIUQQgghhBBCiALQUigUiqJOQgghhBBCCCHEf0PML8OKbNsWX/5WZNsuCBnaLcT/sJaf3irqFPJt3/KyH1y+X/waU9RpFMj80Rbs1fMt6jTyrVVaALFXDxd1GvlmXqkJR28lF3Ua+daorCGPHj4s6jQKxNPL64OrwwfMSxV1GvnWPNafR31bF3UaBeK5cs8HVY8/xDp86k5CUaeRb3X9TGjR92ZRp1Eg+1eWK+oUNNOSgct5kT0khBBCCCGEEEIUgPRICyGEEEIIIYRQksnG8iY90kIIIYQQQgghRAFIj7QQQgghhBBCiGza0t+aF9lDQgghhBBCCCFEAUhDWgghhBBCCCGEKAAZ2i2EEEIIIYQQQklLSyYby4v0SAshhBBCCCGEEAUgPdJCCCGEEEIIIbLJZGN5kj0khBBCCCGEEEIUgDSkhRBCCCGEEEKIApCh3UIIIYQQQgghlLS0ZbKxvEiPtBBCCCGEEEIIUQDSIy2EEEIIIYQQIpuW9LfmJd97SEtLK9dX3759Abh27RqdO3fG3t4eQ0NDfHx8GDhwIIGBgQA8efJEpZyVlRV169bl5MmT+U46ODiYYcOG4enpiYGBAS4uLrRp04ajR4+qxJ09e5aWLVtiZWWFoaEhZcuWZdasWWRkZKh9N0NDQ54+faqyvH379srv1aZNGxo3bqwxn3PnzqGlpcXVq1fVvt+br/PnzwOwcuVKleX29va0adOGO3fuqKw3NDSUQYMG4erqioGBAQ4ODjRr1oxz586p5XD27Fl0dHRo3ry5clnfvn3z/H97Hde+fXuV9T1//pz+/fvj5OSEvr4+bm5ujBgxgoiICJW4+vXro6WlxYYNG1SWz5kzB3d3d437621v74/XL0NDQwAyMjKoWbMmHTt2VCkXExODi4sLX3/9tXLZ1q1bqV+/PhYWFpiamlKuXDm+++47IiMjlduytLTUmIeWlhY7duxQW/7ZZ5+ho6Oj9h0Bpk6dipaWFp9//rnK8uvXr6OlpcWTJ09Ulm/dupWGDRtiZWWFsbExvr6+fPrpp1y7di3f++Of0LNdMf78tSTbf/fjp3EeuDoZ5FmmVmVzfv/Bm52L/fj9B29qVDLPMbZLSzv2LS/LZ90d/9/lW6e8PlP7mzF7uDnjepri5ayTa3yJ4jqM62nK7OHmTP3UjNrl9NVi6lfU55u+pvw63JzvB5rRoZ4hurmvNl+sa1ehyvZFNHp6mlZpAdi3bZR3mTpVqX1hK83jbtIg4Aiun3VTi3H4uCl1b+ylefwt6t7Yi307zcfSd7H50CnaDZ9Crd4j+WTiz1y79yDH2Ct3A6na/Qu115OXwSpxcQmJ/Lx8I80HT6RW75F0HvM9f127k8NaC+7kgY18M6QFw7tXZfq4bjy4ezXH2Af+V5k5qQ9f9q3LiB4f8e3wdhzd/adKzLXzR/hpXHfG9K7NyJ7VmDa2CxdO7n5v+e7Zs4e+/frRtl07hg0fzu3bt/NV7s6dO7Rq3ZqhX3yh9ll8fDwLFiygR8+etG3Xjs8GDeLipUuFzvVDrMMALgO6U/fmYZqEXqfGyS1Y1aica7zrwB7UvrSHJiHXqHNlH07d26l8rqWri9f4IdS9cZAmodep+dd2bBvXfm/5mjdsicsvS3H/YxvOU+dg6OOXa7xpjfo4f/cb7ou34DpnNXb9R6BtYqb83PGr6Xiu3KP2chg15b3kK3X4n6/Dx/dv4qvPWzO4a3W+H9uDwFyOa/f9r/HThH6M7N2AId1q8M2wDhzevUYl5q9juxjYoZLaKy015b3l3LO9PWtml2LHkjL8/JVn/s4lqpiz+Ecfdv1RhsU/+lAzt3OJVnbsX1mOQT3ez7mP+O/Jd0M6KChI+ZozZw7m5uYqy+bOncuePXuoXr06KSkprF27Fn9/f/78808sLCz45ptvVNZ35MgRgoKCOHnyJObm5rRs2ZLHjx/nmceTJ0+oXLkyx44dY8aMGdy6dYsDBw7QoEEDhg4dqozbvn079erVo3jx4hw/fpx79+4xYsQIfvzxR7p164ZCoVBZr5aWFpMnT85xu/379+fYsWNqjW2A5cuXU6FCBSpVqqT2/d58Va6c/cP4ev+9evWKvXv3kpCQQKtWrUhNTVXGdOzYkRs3brBq1SoCAwPZtWsX9evXVzYK385h2LBhnDlzhmfPngEwd+5cle0DrFixQm3Z2x49ekSVKlUIDAxk/fr1PHjwgN9//52jR49So0YNte0bGhry9ddfk5aWluP+y8vb9SkoKEi5r3V0dFi1ahUHDhxg7dq1yjLDhg3D2tpa+f82adIkunbtStWqVdm/fz+3b99m1qxZ3Lhxgz///FPjdvOSmJjIxo0b+fLLL1m2bJnGGENDQ5YtW6a8WJST8ePH07VrVypUqMCuXbu4c+cOS5YswcvLi4kTJ+Z7f7xvnVrY8nFTWxatecXI7x8QFZPOj2M9MDLM+fBQ0suYrz535djZaIZOecCxs9FM+NwVX08jtVhvdyOa17Pm0fOk/3f5VvLRo2N9Qw5eSOanNfE8fJnOkI9NsDLTfN+RjbkWgz824eHLdH5aE8/Bi8l0amBIBe/swUNVSurRro4h+8+n8MPKONYeSqKyrx5taxf+QouOiTGxNwO4M+K7fMUbuRen6u4lRJ65wpmq7Xnw8+/4zZ6Ew8dNlTGW1StQcd1sXq7dyenK7Xi5dieV1s/B8qNyhc730Lkr/Lp6K/3aN2PN9K+o4OvFiJ8WEhyufox805Zfv2H/omnKl4tjMeVnaenpDJ02n6CwSH4e2Z8tsyYzaWAP7KwtCp0vwOW/DrBl5QyadxjIhF82UqJUJRZMG0JkmObjsYGBEfVadGPU98uZPGc7zTsNZPeG+Zw5vEUZY2JqQfOOAxg7bTWTZm2heoN2/LlgCnev/1XofE+ePMniJUvo1rUr83/7DT8/P76ZPJnQ0NBcyyUkJDBz1iwqVKig9llaWhoTJ00iJDSUSRMn8seSJQwfPhxbG5tC5/uh1WEAhw4tKPXTVzyauZiztTsQde4KlbcuxrC45pNvl/7d8JkyigfTF3CmWhvuT5tP6ZnfYNe8vjLG+5sRuPTrwt0vf+TMR615vnwjFdf+hlm5UoXO1+SjOtj0GEj07k28nDyc5MA7OIyeio61ncZ4A+/S2A0cRdypQ7yYNJSQBT9h4OGD3afDlTEhv/3I0xG9lK/nE4egyMgg/tKZQucrdfifr8OXzhxk44qZtOrYn8mz1uFdqiLzfhhGRC7HtQYtu/LlD0v5bt5WWnXqz451Czl1aKvqdzM2ZeayQyovPf28G7v50bmlHR2a2bJwzUtGfHufqJh0pn3pmee5xITBbhw9G8WQyfc5ejaKCUPcNJ5L+HgY0aK+DY+evZ9znyKhrVV0rw9Evod2Ozg4KP9tYWGBlpaWyrLExET69etHy5Yt2b59u3K5h4cH1apVIzo6WmV9NjY2ODg44ODgwOLFiylevDiHDh1i0KBBueYxZMgQtLS0uHjxIiYmJsrlfn5+fPrpp0DWwW/gwIG0bduWJUuWKGMGDBiAvb09bdu2ZdOmTXTt2lX52bBhw5g1axZjx46lbNmyattt3bo1xYoVY+XKlUyZkn2F9HVDa9q0aRq/X07e3H+Ojo6MGjWKtm3bEhAQQNmyZYmOjubMmTOcOHGCevXqAeDm5sZHH32ktq6EhAQ2bdrEpUuXCA4OZuXKlUyePBkLCwssLFRP/iwtLXPNC2Do0KHo6+tz6NAhjIyyDg6urq5UrFgRLy8vJk2axKJFi5Tx3bt3Z/fu3fzxxx8MGTIk13XnZ39o4u3tzfTp0xk2bBgNGjTg0qVLbNiwgYsXL6Kvr8/FixeZNm0ac+bMYcSIEcpy7u7uNGnSRK3+5dfmzZspXbo0EyZMwNHRkSdPnqj1tPv6+lKsWDG+/vprNm3apHE958+fZ8aMGcydO5fhw7NPHjw8PKhXr57GCzt5/T+9L+2b2LJhTyhnr8YCMGvZC9bNKUX9apbsP6m5QdK+iQ3X7sazaV8YAJv2hVHG14R2TWyZsfi5Ms7QQJtxn7kwb9ULurUupnFd/8v5Nqysz7nbqZy7nXWRaeuJZEq56VKnvD67zqhfVa9d3oCo2Ey2nkgGICQyEzd7HRpVNuD6/XQAPJx0ePQqg8v3stYZGZvO5XtpuDkUvks67OApwg6eyne822fdSH4WxN0xWce/+HuPsKhcFs/RnxK8/VBWvsP6EH7kLA9nZB2LH85YgnXdj3Af1ofrn4wpVL7r9h6jXYMatG9YE4AxfTpx/qY/Ww6f5ou3eujeZG1uhpmJscbPdh0/R2x8Isu/HYPu3938jnbWhcrzTcd2/0nNhh9Tq3EHADr3G8fd62c5dWgT7XuOUIt38SyFi2d248emmDPXzx/lgf9VajfpBIBPmaoqZRq26smFE7t46H+N0hVqFSrf7du307RpU+Vop88HDeLq1avs3buXfv365Vhu3m+/0aB+fbS1tTn392is1w4dOkRcXBy/zpqFrm7WaYi9vX2h8nztQ6vDAO5f9OHF6m28WJ11ceTeV9OxbVQL1/7dCPx2tlq8U7e2PF+xkeBt+wFIevICy6rl8Rw1gLADJ5Qxj2YuJvxQ1r54vmwDto1q4TGsLzcHji9UvhbN2hN36jBxp7L2T8S6PzAqUwnzhi2J2rJKLd7Qy5f08FBij2SNkkgPDyH2xH4sW2SPMstMiFcpY1KtLorUFBIuFr4hLXX4n6/Dh3evpXaj9tRp8jEA3fp/yZ3r5zh5cAsdeg1Ti3f1LImrZ0nle9tiTlw9f4z7/teo21R19KGFlW2h89OkfVNbNuwO5eyVv88l/njOunmlqV/dkv0ncjiXaGrL1TtxbNr797nE3jDKljSlfVM7fv79mTLO0ECbLwe5MnfFC7q3fT/nPuK/6b0Nfj948CDh4eGMGzdO4+c5DacFMDbOOqHJq0czMjKSAwcOMHToUJVG9NvbOHToEBEREYwdO1Ytpk2bNvj4+LB+/XqV5TVr1qR169ZMmDBB47Z1dXXp3bs3K1euVGn0bN68mdTUVHr27Jlr7rmJjo5m3bp1AOjp6QFgamqKqakpO3bsICUl92EsGzduxNfXF19fX3r16sWKFSvUGmb5FRkZycGDBxkyZIiyEf2ag4MDPXv2ZOPGjSrrNzc3Z+LEiXz33XckJCS803bzY9iwYZQvX57evXvz2WefMXnyZOWV4rVr12JqappjQz63+pebZcuW0atXLywsLGjZsiUrVqzQGPfTTz+xdetWLuUwrGv9+vW55vd6mP2/zcFOD2tLPa7eyT6JSU9XcCsggVIlNDc0IOuq7NXbcSrLrt6Oo7SXapkhvZy4eDOO63ffT734kPLV0QYXex38n6arLPd/mo6Hk+ZrmB6O6vF3n6bjaq+D9t9H60cvM3AppqNsONtYaOHnocudx+lvr+4fZ1m9AmFHVHs9ww6dxqJyGbT+Prm0ql6B8COqJ8Phh09jVaNiobadlp7OvcfPqfZWD1u1cqW4GZj76KZeE36m+eCJDP5hHpfvqI4kOXX1FmW9Pfh5xUaaDZpA1y9/ZMWOg2RkZhYqX4D0tDSePfKnVPkaKstLla/Bo4Ab+VrH80f+PA68gXfpKho/VygU3Lt5gZBXTyhROvfhwXlJS0vj/oMHKqOtACpVrMhdf/8cyx06dIigoKAcfxfPX7hAqVKlWLBwId179ODzwYPZsHGj2m1X/4airMMAWnp6mFfwI/yYag7hx/7Csprm9Wvr65ORkqqyLDMpGYvKZZU5axvok5Gseu6QmZyCVfXC1Ql0dDFwL0Hi7Wsqi5NuX8OwREmNRZIf+KNrZYtRuaw6q2NuiUmVWiTevJzjZszrNCX+wikUhRzGK3X4n6/D6WlpPH3oT+ny1VWW+1WowcN7+TuuPXt0j4cBN/F565iVkpzE+M9a8uWA5sz7cTjPHt0rdL4ADnb6WecSb5wXpKUruHUvntK5nEuUKmHM1duqF32u3IpTO/8Y+okTl27Ecv2uaqz43/PeGtL3798HoGRJzQfSnCQkJDBhwgR0dHSUPa85efDgAQqFIs9tvB5iW6qU5iFMJUuW1DgMd/r06Rw4cIDTp09rLPfpp5/y5MkTTpw4oVy2fPlyOnTogJWVlUpszZo1lY3h1683D7AxMTGYmppiYmKClZUVGzZsoG3btsrvpqury8qVK1m1ahWWlpbUqlWLiRMncvPmTbW8Xjf2AJo3b058fLza/eL5df/+fRQKRY77rlSpUkRFRREWFqayfMiQIRgaGvLrr7++03Zf7483X02bNlWJ0dLSYtGiRRw9ehR7e3u++uorlbw9PT2VFyIKui1TU1O1uPv373P+/HnlyIXXFykyNZxQV6pUiS5duqjk9KbAwEA8PT2VV64Bfv31V5Xtx8TEFGh/vA9W5ln7KzpWtREWHZuOlUXOA1asLHTzLFP3IwtKuBmxckvw28X/X+RraqSFjrYWcQmqF7XiEhWYG2u+cGJuokVc4lvxCQp0dLQwNcoqcyUgjb1nkxnV1YS5I8z5tr85gc/TOXzp/d03ll8G9rakhISrLEsNjUBbTw9926xjooGDLSkhqnMrpIREYOCgeRhofkXHxpORmYm1hZnKchsLMyJiYjWWsbG0YOKA7vw8agAzRg3AzdGeIT/+xlX/7PuqX4ZGcOziNTIzFcwZP5j+Hzdj7d6jLN9+sFD5AsTHRZGZmYGZherwT3MLG2Kjw3MolWXiZ00Y3q0KP33Vg7rNuip7tF9LSohjVK/qDOtWhYXTv6DLp1+pNdgLKjY2lszMTKzeuhBpaWVFVFSUxjIvX75kxcqVjPvyS3R0NI+SCA4O5syZM2RmZvLdt9/SrVs3tm3bxoaNGwuV77soyjoMoG9jibauLqmh6jkY2GvuiQs/eobivTthXqE0AOYV/XD+pAPa+vro21gpY9y/6IuxlxtoaWHToCbFWjYsdM46ZuZo6eiQEav6/58RG4WOhZXGMikP7hG6eCb2g8fhsXQHbvPWkJmYQPia3zXGG3j4oO/iTtzJQ4XKFaQO/xt1OD4umszMDMwtVY9rZhbWxERH5FAqy5cDmjO4SzV+GNeLBs27KHu0ARyc3ek3bCpfTJjDwNHT0NMz4OeJnxLy6lkua8yf17/9URrPC3I+j8zpXML6jXOJetUs8HIzYsV7PPcpKlpa2kX2+lC8t1m7C9oDWrNmTbS1tUlMTMTR0ZGVK1dqHFKtaRv57b3LKSeFQqFxHaVLl6Z3796MHz+es2fPqn1esmRJatasyfLly2nQoAEPHz7k9OnTHDqkfrDfuHGjWmP0zQOymZkZV69eJT09nZMnT/LLL7/w+++qPyodO3akVatWnD59mnPnznHgwAFmzJjB0qVLlZOgBQQEcPHiRbZt2wZkNcC7du3K8uXLc5wcrTBy+j8wMDDgu+++44svvmDw4MEFXu/r/fGmt3vEIevChbGxMY8fP+bFixfKYdY5/Z/md1uQNXz8TcuWLaNZs2bY2madzLRs2ZL+/ftz5MgRjY3aH374gVKlSnHo0CGKFVMfyvN2fp9++ilt27blwoUL9OrVS6W+5nd/vJaSkqI2csHAQP0+ovrVLRnW20n5fsqcrPuu3/5T0dKw7G1qH2tpKZfZWukxqLsjX//6hLT0dxsd8SHmmx9amnJ509vf7e9q8/r7eRfXoVk1AzYeTeJpcAa2ltp0qm9EbIKCAxf+/ca0+n+GlvpyTTHvOGrmbW//1ed2LHB3ssfdKXv4ZTkfT0Iio1iz5wiVSpXIKp+ZiZW5GRMHdkdHW5tSnq6ERcXw556jDOzY4v3k/FZ+ChRoqX0TVaO/X0FKchKPA2+yc+1c7BxdqVo7Ox8DIxMm/LKJlOREAm5dYOuqWdjaF1cb9v1e8s1hH2dkZPDzjBn06tmT4sWL57g+RWYmlpaWDB82DB0dHby9vYmMiGDL1q307NGj0PkWWBHXYY20tHI8h3k4YxEG9rZUP7oBtLRIDY3g5dodeI4agOLvC/b+46ZR5rfvqHN5LwqFgqTHz3mxdjvFe36scZ0F9nZqWjkf2fScXLDp+RlRuzaQdOsqOpbWWHfth22foYQvn6cWb1a3CanPn5DyOPd5RwpC6nAOMe+xDqvvzrzPy8b9uIyU5EQeBd5i25+/YefoQrU6WUPwvXzL4eWbfQ93iZIV+H5sD47t20D3AZpHv+akQQ1LhvVxVr6fMvtJVoZq9TiP32cNZbTeKGNrrcegHk5MmvmYtLR/9lxC/De8t4a0j48PAPfu3aNGjbyvgm/cuJHSpUtjaWmJTT4nZ/D29kZLSwt/f3+1WaY15eLv70/NmjXVPr937x6lS5fWWPbbb7/Fx8dH4+zNkDXp2BdffMGCBQtYsWIFbm5uNGqkPqOii4sLJUqUyDFHbW1t5eclS5YkODiYrl27cuqU6n0xhoaGNGnShCZNmjB58mQGDBjAlClTlA3pZcuWkZ6ejrNz9gFCoVCgp6dHVFSUWk95XkqUKIGWlhZ3797VuI/v3buHlZWVsnH5pl69ejFz5kx++OGHfM/Y/dqb+yMn586dY/bs2ezfv58ZM2YoG7VaWlr4+Phw5swZ0tLS8uyVzs+2MjIyWL16NcHBwSq9yBkZGSxbtkxjQ9rLy4uBAwfy1VdfqU1M5u3trZafpaUllpaWvHjx4p1yfNP06dP59ttvVZZl3cuveq/RheuxBDxKVL7X0836kbOy0CUqJvsqq4W5+lXXN0XFpGNlrnr4sDTTIfrvdXi7G2Floce8ydnfQUdHizI+JrRpaEO7z26TmY/fmA8t3zfFJynIyFRgZqJ6ImFqrN7r/Fpsgub4jAwFCclZZVrVNOSif5ryvutX4ZkY6CXTvbERBy+k5HkS8D6lhISr9Wjo21mTmZZGakR0VkxwOAYOqscLg2LWaj0oBWVpboqOtjYRMapD9iNj47E2N8uhlLqyJdzZfyb7lgwbSwt0dXXQ0c6+Iu7u7EBEdCxp6eno6b77z6apmRXa2jpqvc9xMZGYWeb+O2hrn3VS7+zmTVxMBHs3LVJpSGtra1PM0RUAF4+SBL98zMHtywrVkDY3N0dbW5vIt3ruYqKjNd4uk5SUxP3793n48CEL/55HQ6FQoFAoaNW6NT/+8AMVKlTAytoaXV1dlYvLLi4uREVF5esY/j4VZR0GSI2IJjM9Hf1iquvXt7MmNVRzb15mcgq3h37NnRFT0S9mQ0pwGC79upAeG09qRNb/VVpEFNd6DEPbQB89a0tSgkLx+XYMiU9fFirfjLhYFBkZar3POmaWZMREayxj2bozyQ/8idmfdcGfF08IT0nGedIMorb+SUZMdv3S0jfAtFpdIrev1biugpI6HJ0V8w/WYVMzS7S1dYiJUq2vcTFRmFvkPr+EnX3WuWtxN29ioyPZvXGxsiH9Nm1tbTxK+BEaVPAe6fPXYrn3UP1cwvqtcwlLM12iY3K+zTQqRn30m4VZ9jpen0v8NjW7Y0Z5LtHIlrYDbhX4XKJIfUCTfhWV99Z33rRpU2xtbZkxY4bGz9+e7MnFxQUvL698N6IBrK2tadasGQsWLNB4L+7rbTRt2hRra2tmzZqlFrNr1y7u379P9+7dNW7DxcWFL774gokTJ2q816VLly7o6Oiwbt06Vq1aRb9+/d7L/a2jRo3ixo0bKhO1aVK6dGnld09PT2f16tXMmjWL69evK183btzAzc1NZYbr/LKxsaFJkyYsXLiQpCTVmQaDg4NZu3YtXbt21fidtbW1mT59OosWLVJ77FNhJSUl0adPHwYNGkTjxo1ZunQply5dYvHixQD06NGD+Ph4Fi5cqLF8QScb27dvH3FxcVy7dk1l327evJkdO3aoPQbstcmTJxMYGKj2qKzu3bvnml9hTZgwgZiYGJWXpvv9k5IzCQpNVb6evUohMjqNSqWzh7br6mhR1tcE/weJauVfu/cwkYp+qo2VSmXMuPv3D9V1/3gGfxPIF1PvK1+BjxM5cT6aL6bez/cPyYeW75syMuF5SAYlXVV/dEu66fL4leZG/+OgDEq6qcaXctPlWUgGr+8o0NfTUrsinplJVtfsv/ybF33+OraNVC9W2jWpTcyV2yjSs75j1Pnr2DZSnfDKtnFtos6p3mNZUHq6upT0cOHCTdV75i7eukc5H498ryfgyQtsLbMnZSzv68mL4DCVWzieBYVia2leqEY0gK6eHq6epfC/qTpx0b2b5/H0LZ/v9SgUCtLzmFMkPzF50dPTw7tECZXH8wFcvXaN0hpu/zE2NmbRwoUsmD9f+WrZsiXFixdnwfz5yluX/EqX5tWrVyr7+OXLl1hbW/+rDRAo2joMoEhLI/b6HWwbquZg26Am0RdyX78iPZ2UVyGQmYljx5aEHjyh1l2WmZJKSlAoWrq62LdrQujed7vtSykjnZQnDzDyq6Cy2MivAskPNN+/qq1vAG/fEvX6/VvnEiYf1QY9PeLPHi9cnn+TOvzP12FdPT3cvErhf+OCyvK7N87jVTL/xzUUCtLTUnP5WMGzxwHvNPlYTucSb54X6OpoUbakKXdzOZfwf5BIJT/VWwErlTFVnn9cvxvP55MCGDo5UPkKfJTI8fPRDJ0c+GE1okW+vLeGtImJCUuXLmXv3r20bduWI0eO8OTJEy5fvsy4cePUnrP7rhYuXEhGRgYfffQRW7du5f79+/j7+zNv3jxlT7iJiQmLFy9m586dfPbZZ9y8eZMnT56wbNky+vbtS6dOnejSpUuO25gwYQKvXr3iyJEjap+ZmprStWtXJk6cyKtXr5Q9w2+LiIggODhY5ZWcnJzjNs3NzZW9zQqFgoiICBo2bMiaNWu4efMmjx8/ZvPmzcyYMYN27bJmo92zZw9RUVH079+fMmXKqLw6deqU4+Oa8jJ//nxSUlJo1qwZp06d4vnz5xw4cIAmTZrg7OzMjz/+mGPZVq1aUa1aNWUDN78UCoXa/goODlb+SH311VdkZmby888/A1mziM+aNYsvv/ySJ0+eUK1aNcaNG8eYMWMYN24c586d4+nTpxw9epTOnTuzapX6TKK5WbZsGa1ataJ8+fIq+7Vjx47Y2dmxZs0ajeXs7e0ZPXo08+apDlerUaMGY8aMYcyYMYwePZozZ87w9OlTzp8/z7Jly9DS0kL7jR6wvPbH2wwMDDA3N1d5aRrarcmOw+F0aV2MGpXMcXM2YHT/4qSkZnLiQrQyZsyA4vTtmD0kdufhCCr5mdKphS3FHQzo1MKWCqVM2Xk46+p2UnImT1+mqLySUzKJTcjg6cvCDT/+kPI9diWVmmX1qe6nh721Nh3qGWJtps3pG1knC21rG/BJ8+wh+2dupGBtnhVnb61NdT89apTR5+iV7BxuP0qjdjl9KvvqYWOuRUlXXVrXMuDWw7RCj9LTMTHGvHxJzMtnnSwaexTHvHxJDF2yHsPj+8Noyq/4WRn/dMkGjNycKPXLV5iW9KR434649OvIo1+XK2OezF+NbZNaeI4diImvJ55jB2LbqAZPfivY36QmPVo1ZOfxs+w6fo7HL4P5dfVWgsMj6di4DgDz1+9kysLVyvh1+45z4tINngWF8vB5EPPX7+TYxet0blZXGdOxSR1i4hOYtWoLT4NCOHP1Nit3HKJz07pq238XDdt8wtmj2zh7dDtBLx6xZcUvRIUHUadpZwB2rJ3LynmTlPEn92/g5uUThAY9JTToKeeO7eDI7tV8VLeVMubAtmX43zhHeMgLgl8+5uju1Vw4uUcl5l19/PHHHDx4kIOHDvHs2TMWL1lCWFgYLVu2BLIeqThz5kwg62Kqu7u7ysvSwgJ9fX3c3d0xNMx6RFurVq2Ii4vj98WLefHiBRcvXmTjpk20bt260Pl+aHU4a/2rKN67I869OmDi40nJ6V9hWNyRZ8uz7rf1mTKKsot/UsYbl3DHsWsbjL3csKhclvIrZmFa2pv7b8zwbVGlHPZtmmDkXhyrGpWpsm0JWlraPJ77bucFb4o5uAPzek0xq9MEPcfi2HQfgK6NHXHH9wFg1akPdgNHK+MTrl/EpHJNzBq0QNfOHoMSpbDp+RnJDwPIiFadHdmsTlMSr54nM0F1pElhSB3+5+twkzY9OX10O2eO7iDoxSM2Lp9JZHgw9f6egXvbmt9YNjf7MbjH92/kxqWThLx6RsirZ/x1dCeHdv1JtXotlTG7Ni7m9rWzhAW/4NnjAFYt+JYXTwKp16zTe8l5x6FwurYpRs3X5xIDipOSksmJ89HKmDEDXejbKfsJKjsPh1OpjBmdW9pR3NGAzi3tqFjajB2HsuYN0ngukZpJXHx6oc99xH/TexvaDdCuXTvOnj3L9OnT6dGjB7Gxsbi4uNCwYUN++OGH97INDw8Prl69yo8//siYMWMICgrCzs6OypUrqzySqVOnThw/fpxp06ZRt25dkpKSKFGiBJMmTWLkyJG59iJbW1szfvx4tWf7vta/f3/l8F5XV1eNMZruT16/fj3dunXLcbsjRoxg3rx5bN68mXbt2lGtWjVmz57Nw4cPSUtLw8XFhYEDByrzWrZsGY0bN1Z7xBVk3V89bdo0rl69qjZbZV68vb25fPkyU6dOpWvXrkRERODg4ED79u2ZMmUK1ta5D9X5+eefNQ6pz01sbCyOjurPzAwKCiIgIIAFCxZw4sQJldnaBw4cyJYtW5RDvH/++WcqV67MggUL+P3338nMzMTLy4tOnTrRp0+ffOcSEhLC3r17lTOpv0lLS4sOHTqwbNkylcdsvenLL79k0aJFahdOZs6cyUcffcSiRYtYvnw5iYmJ2NvbU7duXc6dO4e5uXm+9sf7fizWlv3hGOhrM7SXE6YmOgQ8SuTrWY9JSs5utNtZ66l0KPg/TOSn35/Ru4M9n3xsT1BoKj/9/oyAR//88xI/pHyvBqZhYqRFi+qGmJtoERSRycLtCUTFZbV4zU20sTbLvoASEatg0fYEOtYzok55fWISFGw5nqx89BXAgfMpKBTQupYBFqZGxCcquP0ojd1/5XyhLr8sKpehxtHsZ66Xnpl1rHm+ehs3+0/AwNEOI5fsepn05AWX2nxG6VkTcBvck5RXodwZ9aPykSsAUeeuca3naHy/HYnvt8NJfPicaz1GEX1RfeLEgmpaozIxcQks3baf8OhYvFwcmTN+iPJxVeHRsSrPlE5PT2fu2u2ERcZgoK+HZ3FH5owbTK2KfsoYBxsrfpswlNl/bqPH+OnYWVnSrUV9erdtUuh8AarUak5CXAz7tiwhNioMR9cSDJm4ABu7rLkAYqPCiQrPnqQmU5HJzrXziAh9ibaOLnb2xWnfc4Ty0VcAqSlJbPhjGtGRIejpG2Dv5EHf4T9SpZbmIZIFUa9ePeLi4li3bh2RkZG4u7vz3bffKh/1ExkVRehbk0/mxc7Ojh9/+IHFS5YwZOhQbGxsaNeuHZ07Ff4E+UOrwwDB2/ajZ21JifFDMHCwI+7ufa50+pzk568AMHCww+iNZ0praWvj8UVfTLw9yExLJ/L0BS407k7Ss1fKGG0DA7y/GY6RuwsZCYmEHTrFzc/Gkx5T+AZqwsXTRJiaYdmuG7oW1qS+fErwr1NJj8iqB7qWVujaZA81jj9zFG1DIywat8amW38yExNI8r9J5KaVKuvVs3fCyNePoF++LnSOb5I6/M/X4aq1mxEfF8OeTX8QExWOk6sXwyfNw6ZY1nEtOiqcyDePa5kKtq2ZT3joS3T+Pq516DVM5dFXSQlx/LnoB2KjIzAyNsXF05cvf/gDD+8y7yXnzfvC0NfXZmhv56xziYeJTJr5SOVcopiNnspcBf4PEvlp0TN6d7Tnkw5Z5xLTFz39V859ioKW9ocz6VdR0VK863OShBD/eS0/vVXUKeTbvuVlP7h8v/g1Ju/A/5D5oy3Yq+db1GnkW6u0AGKvHi7qNPLNvFITjt4q/AWNf0ujsoY8eviwqNMoEE8vrw+uDh8w1/wUjP+i5rH+POpb+F7Vf5Pnyj0fVD3+EOvwqTv/3KNN37e6fia06Pt+LhD8W/avLJd3UBFIXDa5yLZt3P+7Itt2QbzXHmkhhBBCCCGEEB+49zAH1P+6/1Sf/bNnzzQ+3/f169mzwj87Tvz7/Pz8cvw/fZcJ0YQQQgghhBCiKP2neqSdnJy4fv16rp+LD8++fftIy2H22Nf3KAkhhBBCCCH+I+Qe6Tz9pxrSurq6BXp2rvgwuLm5FXUKQgghhBBCCPHeyKUGIYQQQgghhBCiAP5TPdJCCCGEEEIIIYqYTDaWJ+mRFkIIIYQQQgghCkB6pIUQQgghhBBCKGnJZGN5kj0khBBCCCGEEEIUgDSkhRBCCCGEEEKIApCh3UIIIYQQQgghsmlJf2teZA8JIYQQQgghhBAFID3SQgghhBBCCCGyacvjr/IiPdJCCCGEEEIIIUQBSENaCCGEEEIIIYQoABnaLYQQQgghhBBCSUsmG8uT7CEhhBBCCCGEEKIAtBQKhaKokxBCCCGEEEII8d+QvHFGkW3bsOu4Itt2QcjQbiH+h7Xoe7OoU8i3/SvLfXD5dh71uKjTKJDNsz2IvXq4qNPIN/NKTdir51vUaeRbq7QAFh0o6izyb3BziPpxcFGnUSBWkxYRe+VgUaeRb+aVm5H419aiTiPfjGt1ZP+1tKJOo0BaVNT7oOrxh1iH1//14fS5da+lRZ12p4s6jQI5vbNOUacg3pE0pIUQQgghhBBCZJN7pPMke0gIIYQQQgghhCgAaUgLIYQQQgghhBAFIEO7hRBCCCGEEEJk09Iq6gz+86RHWgghhBBCCCGEKADpkRZCCCGEEEIIkU1b+lvzIntICCGEEEIIIYQoAGlICyGEEEIIIYQQBSBDu4UQQgghhBBCZJPnSOdJ9pAQQgghhBBCCFEA0iMthBBCCCGEECKbtjz+Ki/SIy2EEEIIIYQQQhSA9EgLIYQQQgghhMgm90jnSfaQEEIIIYQQQghRAP/ve6T79u3LqlWrANDV1cXa2ppy5crRvXt3+vbti/bfDyN3d3dn5MiRjBw5EoBr167xzTffcPHiRWJjY3FwcKBatWosWLCA+fPn8+233+a63cePH+Pu7p7j51OnTlWuQ0tLCwcHBxo0aMBPP/2Ei4uLMq5+/fqcPHlSrfygQYP4/fffleUBzp07R/Xq1ZUxKSkpODk5ERkZyfHjx6lfv77ysz179jBz5kyuXLlCRkYGfn5+DB06lL59+6rll9t3XLlypcY4X19f7t27l2PZJ0+e4OHhkev6p0yZwtSpUzl+/Di//PILFy5cICkpCXd3d1q0aMHo0aNxdnbmxIkTNGjQQFnO1taWKlWq8NNPP1G+fPlctwGq+1hfXx83Nzf69u3L+PHj0dHRASAjI4N58+axYsUKAgMDMTQ0pEaNGnz99dfUqlVLua6VK1fSr18/5ftixYrx0Ucf8dNPP+Hn56f8v8pJnz59WLlyZZ45F1TP9va0qGeNqYkOAY8SWbD6Jc9epeRaplYVc3p/7IBjMX2CQlNZtTWYs1djNcZ2aWVHv86O7DgUxuJ1Qf/v8u3czJLGNcwwNdLm/rMUlm6N4EVwWq5lqpUzplsLK+xt9QgJT2P9vigu3kpUiWlay4x2DSywNNfhRXAaK3ZEcO9R7vshL5sPnWLNnqOER8fgWdyR0b07UrFkCY2xV+4G8vn389TXMfNr3J0dlO/jEhJZuHE3xy/dIC4hESc7G0b26kCtin6FytW6dhU8x/THolIZDJ2KcbnjEEJ2Hc29TJ2qlJ75FaalvUl5FcrDWUt5tmSDSozDx03xmToCYy9XEh8+I2DybEJ2HilUrm+6cXotV44tIyE2DBsHb+p1mIizVxWNsQ9uHOLmmfWEvfQnIz0Va0dvqjf/AvdSdZQxEUH3ObdvHiEv7hAX+ZK6H0+gUv2+7y1fg8p1MajeBG1TCzLCgkg6vJn05w80xhq37o1B+RpqyzPCXhG75PvsdVZtiEHlumibW6FIiifV/xpJx3dARnqh8918+PTfdTgWT2eHv+uwl8bYK3fv8/kPv6mv45dJuDvbK9/HJSSycNMejl+6mV2He7YvdB1+bdOx86w6cJrw6Di8nIsxtnsrKvlo/g28fO8RA2csVVu+7ceReDgWAyAtPYPl+06w569rhEbF4uZgy4jOzalV1ue95Hvm0AaO7V5BbHQYDsVL8HHv8XiVqqwx9tG9q+xe9yshrx6TlpKMlZ0TNRt1pn6r3sqYoOcP2L95Ps8f3SUq/BXte4+nfstP3kuuIHUY/vk6fPHYOs4eWEZcdBjFnEvQvPtE3Hw0H9fuXjnE5eMbCH7mT3p6KsWcS1C/3ReUKFNHJS4pMZZjW+fgf/UwSQkxWNkVp2nX8fiUq/decu7XzZW2zRwwM9HlbmAcvy5+yJPnibmWqVfDhgE93XFyMORVcDJL1jzh9PkI5ec62tCvuxtN6hXDxlKPiKhU9h8LZdWmZygU7yVt8R/y/74hDdC8eXNWrFhBRkYGISEhHDhwgBEjRrBlyxZ27dqFrq7qbgoNDaVx48a0adOGgwcPYmlpyePHj9m1axeJiYmMHTuWzz//XBlftWpVPvvsMwYOHKhcZmdnl2defn5+HDlyhMzMTB4+fMjQoUPp0qUL586dU4kbOHAg3333ncoyY2NjlfcuLi6sWLFCpSG9fft2TE1NiYyMVIn97bffGDlyJOPHj2fhwoXo6+uzc+dOPv/8c27fvs3MmTML9B1ff483vb1P3+bi4kJQUHYDZubMmRw4cEBlPaampixevJghQ4bQp08ftm7diru7O8+ePWP16tXMmjWLX3/9VRkfEBCAubk5z549Y/jw4TRv3px79+5hYWGRay6QvY+Tk5PZs2cPw4cPR0dHh/Hjx6NQKOjWrRtHjhzhl19+oVGjRsTGxrJgwQLq16/P5s2bad++vXJd5ubmBAQEoFAoePnyJePGjaNVq1YEBgaqfOeNGzcyefJkAgIClMuMjIzyzLWgOre0o0MzW2Ytfc7L4BS6t7Vn2peeDJwQQFJypsYyJb2MmTDYjdXbshqjNSuZM2GIG2OnPSDgUZJKrI+HES3q2/DoWZLGdf2v59uuoQWt61uwYF0YQWFpdGxiyTefOzBi+guSUzT/qvq4GTCqdzE27M9qPH9U1phRfYrxzbwgHjzLaijXrGBCv/Y2/LElnIDHKTSpacakzxwY9dMLwqMz3inXQ+eu8OvqrYz/tCvlfT3ZduQMI35ayKaZX+Nga51juS2/foPJG3XTytxU+e+09HSGTpuPtbkZP4/sTzFrK0IiojA2MninHN+kY2JM7M0AXqzaRuXN8/OMN3IvTtXdS3i+bDPX+3yJVc1KlPltCqlhkQRvPwSAZfUKVFw3m8ApcwneeQSHdo2ptH4O5+r3IPrizULnHHB1Hye3T6dh5yk4eVTi5tkN7Ph9IJ9M2Iu5tZNa/IuHl3AtWZOarUdhYGTO3Qvb2PXHYLqN3kSx4qUBSEtNwsK2ON4Vm3Ny+/RC5/gmvVKVMWrSmcQDG0h//hCDSnUw7TaUmMXfoYiNUotPPLwpqzHxmrY25gMmkep/VblI368qRg3bk7DnTzJePETb2h6TNlmNqqQjWwqV76FzV/l19TbGf9qZ8j6ebDv6FyN+XsSmXybmXodnfY2JkaHyvVodnr4Qa3NTfh7xKcWsLf+uw4aaVlVgBy/e5Jf1e5nwSVsqlHBj64mLfDF7FVt/GImjjWWO5XZMG43JG39HVmYmyn8v3H6Yveeu803fj/FwsOPsnUDGzF/DyomfU9JNvZ4VxNWz+9m+6ic69f8aD9+KnD2ymcU/fc6EWbuwsnVUi9c3MKJ2sx44ufqgb2DE44CrbFr6HfoGRtRs3BnIqsM2xYpToXpTdqyeUaj83iZ1+J+vw7cv7uPA+um0+mQyriUqcfnERtbM/oyhP+zB0ka9vj0NuIynX00adRyFobEZ185sY93cIQz8eiOOblnHtfT0VP6c+Skm5jZ0GTIXcyt7YiKDMTA0UVvfu+jRoThd2zkzbW4gz18l0aeLK7O/K0OPIVdIStL8G+rna8bUL0uxbO0TTp2PoG51G777siRDJ9zkbmBc1no7utCuuSPT5gTw+HkiJUuYMWG4N/EJ6WzZ8+q95P6vyaNzR0hDGgADAwMcHLJ6T5ydnalUqRLVq1enUaNGrFy5kgEDBqjEnz17ltjYWJYuXapsEHp4eNCwYUNljKlp9gFMR0cHMzMz5TbyS1dXV1nGycmJgQMHMnz4cGJjYzE3N1fGGRsb57nuPn36MG/ePObMmaNsjC1fvpw+ffrw/ffZV1ifP3/OmDFjGDlyJNOmTVMuHzNmDPr6+gwfPpzOnTtTrVq1fH/HN79Hfuno6KiUMTU1VVvPixcvGD58OMOHD2f27NnK5e7u7tStW5fo6GiVdRYrVgxLS0scHByYNWsWtWvX5vz58zRr1izPfN7cx1988QU7d+5kx44djB8/nk2bNikvurRp00ZZZsmSJURERDBgwACaNGmCiUnWwf/1CAMAR0dHRo0aRdu2bQkICKBs2bLK8hYWFiqx/5T2TW3ZsDuUs1eyemdn/fGcdfNKU7+6JftPROZY5uqdODbtDQNg094wypY0pX1TO37+/ZkyztBAmy8HuTJ3xQu6ty32/zLfVvXM2XY4WtmbPH9dGEu/d6V2JVOOnIvLsczNwCR2HI0BYMfRGPy8DGlVz5y5f2Z9h9b1zTl2IY5jF+IBWLkjkvIljWhay5x1e9VPDvNj3d5jtGtQg/YNawIwpk8nzt/0Z8vh03zRvV2O5azNzTAzMdb42a7j54iNT2T5t2PQ1c0aweFol/PJYEGEHTxF2MFT+Y53+6wbyc+CuDsm69gWf+8RFpXL4jn6U2VD2mNYH8KPnOXhjCUAPJyxBOu6H+E+rA/XPxlT6JyvnliBX/WOlKmR1YCo32EST++d4eZf66ndRn399TtMUnlfq81oHt4+yqPbx5QNaQe3cji4lQPgzO5Zhc7xTYbVGpF6/Syp1/8CIOnwZvQ8S2FQqS7JJ3aqF0hJRpGSrHyr51MeLSNjUm9kXwDWKe5J+vOHpN25BEBmTCSpdy6j4+Re6HzX7TtOu/rVad/g7zrcuyPnb95jy5EzfNGtbY7lrM1Nc67DJ84TG5/A8qmj3nsdBlhz8Azt61SmQ92qAHzZozXn7txn8/ELDO+U8++TtbkJZsaaL67uOXuNAa3rU6ecLwBdilXn3O37/HnwDD9+1qVQ+Z7Yu5pqDTpQo2EnADr0+Yp7N/7izOENtOk+Si2+uEcpinuUUr63KebMzYtHeHTvirIh7epVFlevrN+/3evmFCq/t0kd/ufr8LmDK6lUpyOV62b9f7boMZGHd85w+fh6GndSP6616DFR5X3jjqMJuHaMgBvHlQ3pa6e3kZQQQ/+J69HR1QPA0tb5veXcpY0zqzc/59Tfvck/zglg56rqNKlrx66DwRrLdG7rzOXrUazZ+gKANVtfUKGMBZ3bOPHtrKxOjzK+Zpy5EMG5K1m/w8GhKTSqY0fJEqYa1yk+bHKPdA4aNmxI+fLl2bZtm9pnDg4OpKens337dhT/0jiN4OBgtm3bho6OjnI4cUFUrlwZDw8Ptm7dCmQ1mE+dOsUnn6gOndqyZQtpaWmMHTtWbR2DBg3C1NSU9evXv9uXeM82b95Mamoq48aN0/i5paVljmVfX0xIS8t9eG1u5V+XXbduHT4+PiqN6NfGjBlDREQEhw8f1rie6Oho1q1bB4Cent475VIYDnb6WFvqcfV2doMuLV3BrXvxlC6h+QcZoFQJY67ejldZduVWHKXeKjP0Eycu3Yjl+l3V2P8v+Raz0cXKXJcbAdm92+kZcPdBMr4eOffI+rgbqpQBuB6QhK97Vu+Brg54FjdQi7kZkISv+7v19Kalp3Pv8XOqlSulsrxauVLcDHyca9leE36m+eCJDP5hHpfvBKp8durqLcp6e/Dzio00GzSBrl/+yIodB8nI1Dx64J9kWb0CYUf+UlkWdug0FpXLoPX3RVGr6hUIP3JGJSb88GmsalQs9PYz0lMJfX4HN9/aKsvdfGsR9PhavtahyMwkLTkBQ2PLQueTJ20ddBxdSXt8V2Vx2iN/dIt75msV+hVqkv74Hpmx2Re50p8/RMfRFR0nt6zNWNqiV8KPtAe3CpVudh0uqbK8WtmSedfhiTNoPuRrBv84X70OX7n9dx3eTLPPJ9F13HRW7Dj0XupwWno6/k9fUcPPW2V5db8S3HjwNNey3abOp8mo6Qz6ZSmX/B+qrVf/rd8UAz09rt1/Uqh809PTePH4LiXL1VRZXrJcTZ4E3sjXOl489udx4HW8Smse9vteSR0G/tk6nJ6eyqund/Dyq6Wy3MuvFs8f5O+4lpmZSUpyAkYm2SMEA64fo7hXBfau+Y5fRtZiwTdtOLXndzIz323E1Zsc7Q2xsdbn0rXsi85p6Qqu34mhTEnzHMuV8TXj0nXVC9UXr0WplLnpH0vlcpa4OGWdZ3q5m1CutLmyYf1B0dYuutcHQnqkc1GyZElu3lQfyle9enUmTpxIjx49+Pzzz/noo49o2LAhvXv3xt7eXsOa3s2tW7cwNTUlMzOTpKSsE+bhw4crezZfW7hwIUuXqt4vtWDBAvr06aOyrF+/fixfvpxevXqxYsUKWrZsqTbEPDAwEAsLCxwdNQzP0tfH09OTwMBAtc/y8z3e1K1bN7WcC+r+/fuYm5trzDU3ERERfPvtt5iZmfHRRx8VqGxmZiaHDh3i4MGDyvvlAwMDKVWqlMb418vf3GcxMTGYmpqiUChITMzqpWzbti0lS5bUuI5/kpVF1iEgKlb1nq7o2HSK2ejnWi5aQxlri+xDSr1qFni5GTHiO833of1/yNfSLOuiV0yc6g9/THwGtlY5H34tzXTUy8RlYGmetT4zEx10dLSIfism+o2YgoqOjScjMxNrCzOV5TYWZkTEaL6X3MbSgokDulPK05XUtDT2nb7EkB9/4/dvRlCpVNZ91S9DI7gcFkjzWlWZM34wz4NDmbFiE+kZmQzs2OKdcn1XBva2pISEqyxLDY1AW08PfVsrUoLDMHCwJSUkQiUmJSQCA4e8b8fJS1JCFIrMDIzNbVSWG5vZkhgXlq91XDm+nLTUJHwq/vP7TsvYFC1tHTLjVUdOKBLi0DbN+5YYLVNz9Lz8SNixXGV52t3LJBubYtZ7LKCFlo4OyVdOknLuUKHyjY5LyKUOax79YWNpzsQB3Sjl4UJqWjr7zlxiyLQF/P71sDfqcDiX70bSvFYV5owbxPPgMGas3Ex6ZgYDOxTu/yEqLvHvnFV/I23MzYiIua+xjK2FGd/0+ZhS7k6kpmWw99w1Bs1czh/jBlDZN+u+6hplvFlz6AyVfN1xsbPmov9DTl73L3TDKSE2iszMDMwsVOuwmYUNsdHhOZTKMmVII+JjI8nMyKB5pyHKHu1/ktThf74OJ8ZlHddM3qoTJuY2xMfkXideO3dwBWkpifhVzc4lKuw5j/3PU656G3qOXExEyFP2rfmOzMwM6rcdWqicbayyLjJFxqh2pkRFp+JQLOfh7taW+kRGq5aJjE7D2ir7/GPt1heYGuuyZkFlMjMVaGtr8ceaJxw9nb9jvPiwSEM6FwqFIsfJn3788UdGjx7NsWPHOH/+PL///jvTpk3j1KlTKsNzC8PX15ddu3aRkpLCzp072bx5Mz/++KNaXM+ePZk0SXX4X7Fi6sNSe/XqxVdffcWjR49YuXIl8+apTxKUl9z2SU5ef483mZmZ5RD9z+VSvHhxABISEvD29mbz5s0a95Mmry9WpKamAvDJJ58wZcqUfG/7zTzNzMy4evUq6enpnDx5kl9++UU5Mdy7SklJISVFdZIpAwP1nskGNSwZ1id7aNSU2U8A1CfA0IK8xlq8XUbrjTK21noM6uHEpJmPSUt791EbH1q+tSuZMKiLrfL99D9CsratFpl3wpoGu6iNgHn7O+VQriDe/ovK7e/M3cked6fsi4flfDwJiYxizZ4jyhM4RWYmVuZmTBzYHR1tbUp5uhIWFcOfe47+6w3prIQ0VIS3l2usLO9z9JHaXtawTN29K3s4f2A+bQcsxNjMJs/49+fdKppBuRookpNIC1DtqdR19cawVvOse1ZfPkbH2g7jJl1Q1I4h+cz+Qmer9da+VKDIce+q12EPQiKiWLP3WHYdViiy6vCAbqp1eO+xQjdCcsxZocjx9kR3RzvcHbMv7JQv4UpIZAyrD55WNqS/7N6a71dtp8PE2WhpaVHczpq2tSqx66+rmlda4IQ17OM8fo+HT11FSnIiT+/fZPf62dg6uFK5Vsv3k0+epA7/23U467CW93Ht1vk9nNg5n27DFmD6xkVGhSITE3Mb2vT9Dm1tHZzcyxAXHcrZA8sL3JBuUs+OsYOzR32M//7O642ofgctDb+zb8nr56FRHTua1C/Gd78G8PhZAt4epgzr70l4ZCoHjocWKG/x3ycN6Vz4+/vnOnO0jY0NnTt3pnPnzkyfPp2KFSsyc+ZM5SzghaWvr0+JElkHQT8/P+7fv8/gwYP5888/VeIsLCyUcbmxsbGhdevW9O/fn+TkZFq0aEFcnOoVTh8fH2JiYnj16hVOTqoTRKSmpvLo0SOVe8EL+j3ep9e5BgUF5atX+vTp05ibm2NnZ6dyj3l+vL5YYWBggJOTk8rweh8fH+7evauxnL+/PwDe3tkHcG1tbeX+KFmyJMHBwXTt2pVTp/J/r+fbpk+frjY7elZDv4PKsvPXYrn3MHtGSj3drB85awtdomKye2wtzXSJjsl52HtUTLqyd/g1C7PsdXi7G2FlocdvU7O/t46OFmV8TGjTyJa2A26RmY92yYeW7+U7iTyY+VL5XvfvfC3NdIiOze49tjDVJjo+5+FpmnqWLcx0iInL6k2KS8ggI0ORQ8y7DXuzNDdFR1tbrdcjMjYea/P8X/gqW8Kd/WcuKd/bWFqgq6uDzhtDtdydHYiIjiUtPR29PCYefJ9SQsLVepb17azJTEsjNSI6KyY4HAMHW5UYg2LWaj3Z78LIxAotbR0SY1XXlRgXgbGZbQ6lsgRc3ceR9ZNo1W8urr41c419XxSJ8SgyM9A2NefNWqVlbEZmguZRCm/SL1+T1FsX4K2hmIb12pJ666LyntXMsFck6Rlg3LInyWcOkPdlMc0szUz+rsOquUXGxKv18OWmrLc7+89cVr63sTRHV+efqcNWZsaa/+7i4rE2z/89lWU9Xdh3/rryvbW5KbOHfUJKWhox8YnYWZozb8tBnGyt3jlXABNzK7S1dYh7q/c5PiZSrZf6bTbFsi5mO7n6EBcTwYEtC//xhrTU4Sz/ZB02Nss6rr3d+5wQF6HSMNbk9sV97Fz5NV0Gz8HLT/W4ZmZhh7aOHtra2b9zdo5exMeEkZ6eiq5uzqPQ3nbmYiR3A7IvIunpZe0Ha0t9IqKyzx0sLdR7nN8UGZ2q7M1+zcpCj6joVOX7wX09WLv1ubIH+tHTROztDOjVyeXDa0jLZGN5+nAGof/Ljh07xq1bt+jYsWO+4vX19fHy8iIhIeEfy+mbb75h/fr1XL367leUP/30U06cOEHv3r013mvdsWNHdHV1mTVLfcKa33//nYSEBLp37/7O23+fOnXqhL6+PjNmaJ7h8+3Jxjw8PPDy8ipwIxqyL1a4uLio7bdu3bpx//59du/erVZu1qxZ2NjY0KRJkxzXPWrUKG7cuMH27dsLnNdrEyZMICYmRuU1YcIEtbik5EyCQlOVr2evUoiMTqOiX/YPtK6OFmVLmnL3Qc6PgPB/kEglP9WTvEplTPH/u8z1u/F8PimAoZMDla/AR4kcPx/N0MmB+WqUfoj5JqcoCA5PV75eBKcRFZtOOd/sCYF0daB0CUMCHuf8mKrAJ8mU81GdRKi8rxEBT7ImwEnPgEcvUtRiyvkYEfDk3R5/paerS0kPFy7cVH0s3cVb9yiXw2N4NAl48gJby+whk+V9PXkRHEbmG0NKnwWFYmtp/q82ogGiz1/HtpHqyZpdk9rEXLmNIj3rokrU+evYNlK918+2cW2izuXvXr/c6OjqU8zFj2cBqvdpPws4i6NHzvdg37uyh0PrvqJ571l4+NUvdB75lplBRtAzdD1Ub13R8yhF+otHuRbVdfVGx7oYKTfOqn2mpacPCtUhxorX9aMQ523KOnwrQGX5xdvvUoezfyfK+3jyIiT8H6nDerq6lHJz4vxd1VtKzt95QPkSbvlez71nr7DV0NAy0NOjmJUF6RmZHL1ym/oVNd+GlF+6unoU9yhNwC3Vp4cE3DqHu0/ej5N8TaFQkJ6WmndgYUkdBv7ZOqyrq4+Tmx8P76rup4d3zuJSIufj2q3ze9ixbAIdP5uJT/n6ap+7eFciMvSpSs4RIU8wtbArUCMaICkpg5fBycrXk+eJRESmUrVC9oUlXV0tKvhZcPtezhdYbgfEUaW86sWoqhWsVMoY6mu/XTWyhnhLm/R/kvRIkzUsNjg4WOXxV9OnT6d169b07t1bLX7Pnj1s2LCBbt264ePjg0KhYPfu3ezbt48VK1b8Y3l6enrSrl07Jk+ezJ49e5TLExMTCQ5WnWHQwMAAKyv1K8/NmzcnLCwsx8akq6srM2bMYOzYsRgaGvLJJ5+gp6fHzp07mThxImPGjKFatWoFyjs9PV0tPy0trULfT+7i4sLs2bP54osviI2NpXfv3ri7u/PixQtWr16NqampxgsC71u3bt3YvHkzffr0UXv81a5du9i8ebPafe1vMjc3Z8CAAUyZMoX27dsXeOg8ZP1/axrKnR87DoXTtU0xXoWk8DIkha6ti5GSksmJ89HKmDEDXYiISmPllqz/x52Hw/llghedW9px7losNSqaU7G0GWOnZZ0MJiVn8vSlaoMuOTWTuPh0teX/6/nuPRlLh8YWBIelERSWRofGlqSkKjhzNXtCsy962BIZk6GcbXvvqVi++8KRdg0tuHQ7kapljCnrY8Q387Ifj7bnRCzDetrx8HkKgU9SaFzTDFsrXQ6d1XwfXX70aNWQKQtWU9rTlbI+Hmw/+hfB4ZF0bJz1bM/563cSFhXDt0Oyjovr9h3Hyc4az+KOpKVnsP/MRY5dvM7Po7KfdNCxSR02HTzJrFVb6NK8Hs+Dwli54xBdmxf+OaA6JsaYlHBVvjf2KI55+ZKkRsaQ/DwI3x9GY+hsz41+4wF4umQDbkN6UuqXr3i+bBOW1Svi0q8j13plzyr7ZP5qqh9bg+fYgYTsPop9m0bYNqrBufo9Cp0vQKX6/Ti4Zhz2rmVwdK/IrbMbiYsKolytbkDWrNsJMSE065V1gfDelT0cWjOeeh0m4uhenoTYrF4OXT1DDIyyGk4Z6alEBGdNNpWZnkpCTAihL/zRNzDG0i7/jTFNki8cxaRdXzKCnpL+4jEGFWujbWFF6tXTABjWb4e2mSWJu1VHYulXqEX6y8dkhqk/7iXt/k0MqzUiPeQFGS8fo21th1G9NqTdv1noIfQ9WjZgysI/Ke3pQllvD7YfO0tweBQdG2VN8DZ/wy7CImP4dkjWRJvr9h/HydYGz+IOpGVksP/MJY5dvMHPI/sr19mxSW02HTrFrNXb6NKsLs+Dw1i58zBdm9ctVK6v9WpWm6//2Expd2fKebmy7eQlgiNj6FQ/aw6PeVsOEhoVyw8Ds2ZEXnvoL5xsrfB0LkZ6egZ7z13n6JU7zByaXUdvPXxOaHQMvi5OhEbHsHjnUTIzFfRtUfic67fqzdoFE3Dx9MPdpzznjmwhKjyIWo27ArB7/WxiIkPpNTTrUWynD67HytYRe6eshuCjgKsc37OSOs2z801PTyP4RVYdzshIIyYyhBdP7mFgaIydgyuFIXX4n6/DNZr1Zdsf43FyL4OLVwWunNxETGQQVepnHdeObJlFbFQoHQb+DGQ1orcv+4rm3SdS3Ks8cTFZxzU9PUMMjbOOa1UbdOfikTUcWP8jHzXqRWTIU07vXUy1Ru/n+eKbdr+kVycXngcl8eJVEp90ciElNYPDp7LvZZ400ofwiFQW//kEgC27X/LbtPL06FCcMxciqF3NhirlLRk6IXs+pbOXIvmkswshYck8fp6It6cpXdsVZ+8RzTOB/6dpSX9rXqQhDRw4cABHR0d0dXWxsrKifPnyzJs3jz59+qCtYea40qVLY2xszJgxY3j+/DkGBgZ4e3uzdOlStVmw37cxY8ZQq1YtLly4oGzQ/vHHH/zxxx8qcc2aNePAgQNq5bW0tLC1zX0I4ahRo/Dy8mLmzJnMnTuXjIwM/Pz8WLRoEf369Stwznfu3FEbem1gYEBycnIOJfJvyJAh+Pj4MHPmTD7++GOSkpJwd3endevWjB49utDrzw8tLS02bdrE3LlzmT17NkOHDsXAwIAaNWpw/Phxateunec6RowYwbx589i8eTNduhTu0SQFtXlfGPr62gzt7YypiQ4BDxOZNPORyjOZi9noqdw35P8gkZ8WPaN3R3s+6WBPUGgq0xc9VXsms+QLO4/FoK+nxYBONpgYafPgaQo//B6s8gxpWytdlXOvwCcpzPkzlG4trOjWworgiDRmrwpVPkMa4Oz1BExNtOnUzBIrc12eB6UybUkI4VGqk6oVRNMalYmJS2Dptv2ER8fi5eLInPFDlI9JCY+OJTj8jZlr09OZu3Y7YZExGOjr4VnckTnjBlOrop8yxsHGit8mDGX2n9voMX46dlaWdGtRn95tcx6lkV8WlctQ42j2rS6lZ2Y9UuX56m3c7D8BA0c7jFyyjz1JT15wqc1nlJ41AbfBPUl5FcqdUT8qH30FEHXuGtd6jsb325H4fjucxIfPudZj1Ht5hjSAb6WWJCdEcf7gQhJjQrFx9KHdoCWYW2fNBZAQG0ZsVPYFk1tnN5KZmc7xLd9xfMt3yuWlPvqYZj1/AiA+JpR1v7RXfnbl2HKuHFuOc4mP6DxM9Vaggkrzv0KSsQmGtVtlDY8NCyJ+wwLlDMbaphZoW7z1GB0DQ/RLViTx0CaN63x9D6lRvTZom1miSIwn9f4tzY8iKqCmNSoRE5/A0m0HCY+Owau4I3PGfa5ahyOyZ89NT89g7rodb9RhB+Z8OUi9Dn81hNlrttHjq5+ws7KgW/N69G7buND5AjT7qBwx8Yks2XWM8Jg4Sjjb89vIPsph2OExcQRHRivj0zIymL1pH6FRsRjo6+HlVIx5I/soH3UFkJKexoJth3kZFoWxoT61yvry/YAuOT4uqyAq1WxBYnwMB7f+Tmx0GI4u3gz6ahHWdlm3g8VGhRMVnl2HFYpM9qyfQ2TYS7S1dbC1d6F195HUbJz9WxcTGcrMr7InHzu+ZyXH96zEq1QVhk1ZWah8pQ7/83W4zEctSYyP5uSuBcTHhFHM2ZueIxcrH1cVFxNGTGT2BYnLJzeSmZHOvjXfsW9N9nGtfK32fNw/67hmYe3IJ2OWcWDDTyya3A5zK3uqNf6E2i0Hvpec1217gYG+NmMGlcDUVBf/wDhGT7mt8gxpe1sDld7l2/fi+HbmPQb0dGNADzdeBicz5Zd7ymdIA8z+4yEDergx+vMSWFnoER6Zys6DQazc+Azxv0dL8W89v0kI8a9r0ff9nPz/G/avLPfB5dt5VO6PI/mv2Tzbg9irmh/F9l9kXqkJe/V88w78j2iVFsAi9euX/1mDm0PUj4OLOo0CsZq0iNgrB4s6jXwzr9yMxL+2FnUa+WZcqyP7r73bYyGLSouKeh9UPf4Q6/D6vz6cpkL3WlrUaXe6qNMokNM76xR1CholHyjc03UKw7D5gLyD/gOkz14IIYQQQgghhCgAaUgXEVNT0xxfp09/WFfS3tXp06dz3Q//X3IQQgghhBBCfFjkHukicv369Rw/c3Z2zvGz/yVVqlTJdT/8f8lBCCGEEEKI/xR5/FWepCFdRP6J5yp/aIyMjIp8P/wXchBCCCGEEEJ8WKQhLYQQQgghhBAimzz+Kk+yh4QQQgghhBBCiAKQhrQQQgghhBBCCFEAMrRbCCGEEEIIIUQ2mWwsT9IjLYQQQgghhBBCFID0SAshhBBCCCGEyKYt/a15kT0khBBCCCGEEEIUgPRICyGEEEIIIYRQUsg90nmSHmkhhBBCCCGEEKIApCEthBBCCCGEEEIUgAztFkIIIYQQQgiRTUv6W/Mie0gIIYQQQgghhCgA6ZEWQgghhBBCCJFNeqTzpKVQKBRFnYQQQgghhBBCiP+GpBPri2zbRvW7F9m2C0J6pIX4H9asz/WiTiHfDq6q8MHl22XMk6JOo0A2zXLn6K3kok4j3xqVNWTRgaLOIv8GN4e9er5FnUa+tUoLoOeEl0WdRoGsne7MWf+4ok4j32qWMmPP1fSiTiPfWlfSZcbWzKJOo0DGddSm16RXRZ1Gvq350emDq8PR144VdRr5ZlmxIXU/PlPUaRTIqe21izoF8Y6kz14IIYQQQgghhJJCS6vIXu9i4cKFeHh4YGhoSOXKlTl9+nSu8SkpKUyaNAk3NzcMDAzw8vJi+fLlBdqm9EgLIYQQQgghhPggbdy4kZEjR7Jw4UJq1arF4sWLadGiBXfv3sXV1VVjmS5duhASEsKyZcsoUaIEoaGhpKcXbASRNKSFEEIIIYQQQmT7gCYb+/XXX+nfvz8DBgwAYM6cORw8eJBFixYxffp0tfgDBw5w8uRJHj16hLW1NQDu7u4F3u6Hs4eEEEIIIYQQQvxPS0lJITY2VuWVkpKiMTY1NZUrV67QtGlTleVNmzbl7NmzGsvs2rWLKlWqMGPGDJydnfHx8WHs2LEkJSUVKE9pSAshhBBCCCGEyKalVWSv6dOnY2FhofLS1LMMEB4eTkZGBvb29irL7e3tCQ4O1ljm0aNHnDlzhtu3b7N9+3bmzJnDli1bGDp0aIF2kQztFkIIIYQQQgjxnzBhwgRGjx6tsszAwCDXMlpvTVKmUCjUlr2WmZmJlpYWa9euxcLCAsgaHt6pUycWLFiAkZFRvvKUhrQQQgghhBBCiP8EAwODPBvOr9na2qKjo6PW+xwaGqrWS/2ao6Mjzs7OykY0QKlSpVAoFLx48QJvb+98bVuGdgshhBBCCCGEyKatXXSvAtDX16dy5cocPnxYZfnhw4epWbOmxjK1atXi1atXxMfHK5cFBgaira1N8eLF87+LCpSpEEIIIYQQQgjxHzF69GiWLl3K8uXL8ff3Z9SoUTx79ozPP/8cyBoq3rt3b2V8jx49sLGxoV+/fty9e5dTp07x5Zdf8umnn+Z7WDfI0G4hhBBCCCGEEG9Q5HB/8X9R165diYiI4LvvviMoKIgyZcqwb98+3NzcAAgKCuLZs2fKeFNTUw4fPsywYcOoUqUKNjY2dOnShR9++KFA25WGtBBCCCGEEEKID9aQIUMYMmSIxs9WrlyptqxkyZJqw8ELSoZ2CyGEEEIIIYQQBSA90kIIIYQQQgghsmlJf2teZA8JIYQQQgghhBAFID3S4h/Tt29fVq1aBYCOjg5OTk60atWKadOmYWVlBYC7uztPnz5VKzt9+nS++uornjx5goeHBzo6Ojx9+hRnZ2dlTFBQEC4uLmRkZPD48WPc3d2Vn61atYoFCxZw584dtLW1qVixIuPGjaN169ZqueVEoVDkGNesWTMOHDiQ5z5wd3dn5MiRjBw5Uu37GhkZ4enpybBhwxg0aBAAGRkZzJgxg1WrVvH06VOMjIzw8fFh0KBB9OvXL8/tvate7R1oWd8GUxMd7j1MZMGfL3j6MjnXMrWrWNC7gyOOxfQJCk1l5dYgzl6JUVnnJx87qJSJjE6j+4g7/6/ybVrTjLb1zbE01+VFcCord0Zy73FKjvGlPA3o09aa4g76RMWms+t4LIfPxanEVCtrTNfmltjb6hESnsb6/dFcup1YqDxfO3lgI0d2rSQmKhxHFy869x1HidKVNMY+8L/KjjVzCXn5mNTUZKxtHandpBON2nyijLl2/ggHty0jLPg5GRlpFHN0o1GbT6hWr817yffG6bVcObaMhNgwbBy8qddhIs5eVTTne+MQN8+sJ+ylPxnpqVg7elO9+Re4l6qjjIkIus+5ffMIeXGHuMiX1P14ApXq930vuVrXroLnmP5YVCqDoVMxLnccQsiuo7mXqVOV0jO/wrS0NymvQnk4aynPlmxQiXH4uCk+U0dg7OVK4sNnBEyeTcjOI+8lZ4DG1U1oVccUSzMdXoam8eeeGAKepOYYX9JDn16tLHAupkd0XAZ7TsZx9GJ2/WxQ1ZjaFY1xcdAD4PHLVDYejOXRi7T3ku+xfZvZv+NPoqPCcXbxpEf/Mfj4VdQYG3j3OptXzyPo5VNSU5KxsXOgfrMONGvbUyUuMT6OrWsXcuX8MRLi47Czd6Jr35GUr1L7veT816H1nNizgtjoMByKl6Bd76/wLFlZY+yje1fYu/5XQl89JjUlGSs7J2o06ky9ln1U4m5eOMSBzb8RHvIcW3sXWnQdQdmqjd9LvnfPr+PW6eUkxYVhWawE1VtNwMFD899dYmwoF/bNIOLVHWIinuJXoxfVW09Uidn7R2+CH19SK1vcty7N+iwudL6NqxnTsnZ2HV6zN5aAp7nUYXd9erY0z67Dp+M59kYdrlLakLb1TbG31kVHB0IiMth3Jp6/ricVOlf4MOvwlkMnWbP7MBHRMXgUd2RU785ULKX5WbxX7gQy5PvZass3zpqCu3PW7/CeE+f4/vfVajGnVs/DQF/vveTcr6srbZraY2aiy9378cxe8pAnz3P/La1X3Yb+PdxwcjDkVXAyf6x9yukLEcrPdbShXzdXmtQthrWlHhFRaew/HsLqzc9RKN5L2v8ahfRI50ka0uIf1bx5c1asWEF6ejp3797l008/JTo6mvXr1ytjvvvuOwYOHKhSzszMTOW9k5MTq1evZsKECcplq1atwtnZWWUWPoCxY8cyf/58fvjhB9q3b09aWhpr1qyhXbt2zJ07ly+++IK5c+fy008/Kcs4OjqyYsUKmjdvnuN3eFN+HxKvyevvGx8fz8qVK/n888+xtLSka9euTJ06lSVLljB//nyqVKlCbGwsly9fJioq6p23l5cuLYvRobkds/54xovgFHq0tWf6l170/8qfpORMjWVKeRkzcYg7q7ZlNUZrVrZg0hB3Rv94n4BH2T9CT14k8dWMh8r3mZmF/xX5kPKtUcGYvu2sWbotgoDHKTSuYcbEgfaMmvGSiOgMtXg7a10mDLDn6IV4flsXjq+HAQM62BAbn8GFW1l5ersZMPITOzYeiObi7UQ+KmPMqN52TJ4fxINnOZ8Y5sflvw6wZeUMug2YhGfJCpw5vIUF04bwzeztWNs5qsUbGBhRr0U3nN28MTAw4sG9a6xf/D0GhkbUbtIJABNTC5p3HIC9swe6unrcunKKPxdMwczCmtIVahUq34Cr+zi5fToNO0/ByaMSN89uYMfvA/lkwl7MrZ3U4l88vIRryZrUbD0KAyNz7l7Yxq4/BtNt9CaKFS8NQFpqEha2xfGu2JyT26cXKr+36ZgYE3szgBertlF58/w8443ci1N19xKeL9vM9T5fYlWzEmV+m0JqWCTB2w8BYFm9AhXXzSZwylyCdx7BoV1jKq2fw7n6PYi+eLPQOVcva8QnrSxYsTOawKepNKxmwri+NoybHUpEjIY6bKXDl31tOH4pkYUbo/Bx06dfO0tiEzK5dCfrYlcpTwPO3Uxi9e4YUtMVtK5rylef2jJ+TghRsZr/hvPrwplDrFs+i08GfYV3yfKcOLiNX78fzo+/bcbGzkEt3sDQkEYtu+DinlWHA/2vs2rRNAwMjKjfrAMA6Wlp/DJ1KOYWVgwd9zNWNvZEhodgaGRcqFxfu3ZuPztX/0SHT7/Bw7ci545s4o+fBjFu5i6sbNXrsb6BMbWa9sDJ1Rd9QyMe37vKlmXfom9gRI1GXQB4EnidP+eNpXnnYZSp2ojbl46yeu4Yvpj6J24lyhUq30c393Fh70/UbPsN9m6VuHdxIwdXDaLjyN2YWqrnm5GRhqGJNeXrD+L2X+oNI4DGPeeRkZF9ISUlMZrtv32MRxn13+SCqlbWkF4tLVi5OyarDlc15ss+1oyfG5ZjHR7bx5oTlxJZtDkaHzd9+raxIO6NOpyQlMmuE/G8CksnPUNBRV9DPutgSWx8Jrce5HyhND8+xDp8+OxlZq/azLj+3Sjn68X2I6cZ9dMCNsyajIOtdY7lNv86FRNjQ+V7S3PVcz8TI0M2z56q+n3fUyO6x8fOdGnrxPTf7vP8VRK9O7nw61Q/eg69SlKyer0A8PM1Y8rYkixbl9V4rlPNhm/H+jJ04k3872c9j7hHh+K0bebItHmBPHmWiG8JUyYM8yYhMYMte169l9zFf4dcahD/KAMDAxwcHChevDhNmzala9euHDp0SCXGzMwMBwcHlZeJiYlKTJ8+fdQasytXrqRPH9Ur8OfPn2fWrFn88ssvjB07lhIlSlCqVCl+/PFHRo4cyejRo3n+/DkWFhYq2wOwtLRUW/bmd3jz9bpH/V28/r4lSpTghx9+wNvbmx07dgCwe/duhgwZQufOnfHw8KB8+fL079+f0aNHv/P28tK+mR0bdoXw15UYnr5MZuYfzzDQ16ZB9Zy/48fN7Lh6J46Ne0J5HpTCxj2hXL8bx8fN7FTiMjIgKiZd+YqJ0/zj9L+ab+u6Fhy7GMexC/G8DE1j1c5IwqPTaVrTTGN80xpmhEens2pnJC9D0zh2IZ7jF+NpU99cGdOqrjk3A5PYcSyGV6Fp7DgWw+37ybSqa65xnQVxbPef1Gz4MbUad8CxuCed+43D0saBU4c2aYx38SxF1dotcHIpgU0xZ6rVbU2p8jV54H9VGeNTpioVqjXCsbgndg4uNGzVE2c3bx76Xyt0vldPrMCvekfK1OiMtYMX9TtMwtTKgZt/rdcYX7/DJKo0GoiDWzmsirlTq81oLO3ceHT7mDLGwa0cddqNx7dSK3R09Qud45vCDp4icMocgnfkb5ZQt8+6kfwsiLtjphF/7xHPl2/h+cpteI7+VBnjMawP4UfO8nDGEhICHvFwxhLCj53HfVifXNacfy3qmHLicgInLifyKiydNXtiiIjJoHF1E43xjaqZEBGdwZo9MbwKS+fE5UROXkmkVd3sOr9wYxRHzifwNCiNoLB0lm6LRlsL/Lze/QLla4d2rqVu43bUa9IeJxcPegwYg7WtPccObNEY7+ZZkup1m+Ps6oWtvRM167ekTMUaBN7Nrp+nj+4kIS6GYRNm4V2qArbFHPEpXQFXD59C5wtwau8qPmrQkeoNO2Hv7EX7PhOwtHHk7OGNGuOLe5SiUq1WOLiUwNrOmcp12uBbrhaP72X/3Z3a/yc+ZWvQqP1A7J09adR+IN5+1Ti1T3NDtiBun1mFT+UO+FbtjGUxL6q3noiJhQP+FzZojDezcqZGm4l4V2qPvqGpxhgDY0uMzeyUr5cPzqKrZ4hH2WaFzrdFLVNOXEnMrsP7YomIyaBRNc2NyIYfGWfV4X2x2XX4aiIta2fn7v84lct3k3kVlk5oZAYHzyXwPCQNX/fCHzM+xDq8fu9R2jaoSbuGtfFwdmR0ny7Y21ix9fCpXMtZWZhhY2mhfOloqzZLtLS0VD63sbR4L/kCdG7tzJ9bnnPqfASPnyUybV4gBgY6NKlrl0sZJy7fiGLtthc8e5nE2m0vuHIzhs5tskdL+vma89fFCM5fiSI4LIWT5yK4dD0aXy/Ndf8/TUur6F4fCGlIi3/No0ePOHDgAHp6Bb+a2LZtW6Kiojhz5gwAZ86cITIykjZtVIeHrl+/HlNTU+VQ6TeNGTOGtLQ0tm7d+m5f4B9iaGhIWlrWlXgHBweOHTtGWFjYv7JtBzt9bCz1uHI7e+hwWrqCWwHxlPbWfKIMUKqEiUoZgMu34yhdQrWMs4M+6+b4sWpmKSYMdsPBrnAnGR9Svjo64FlcnxsBqkPObwYk4+tuqLGMt5sBN9+Kvx6QhKeLATp/H6193Ay4GagacyMgCR83zevMr/S0NJ498qdU+Roqy0uVr8GjgBv5WsfzR/48DryBd2nNQzwVCgX3bl4g5NUTSpTWPGw1vzLSUwl9fgc3X9VhiW6+tQh6nL9GuiIzk7TkBAyNLQuVyz/FsnoFwo78pbIs7NBpLCqXQUs3a0CZVfUKhB85oxITfvg0VjU0DwMtCB0d8HDS49Z91R62W/dT8HbV/Lfh7aqvFn8zMBkPZz1lHX6bgZ4WOjpaJCQVbgRIeloaTx7ew69CdZXlfhWq8/Be/nrnnz66x4N7N/Etk10/r108hVfJcqxZ/DMj+jTl6+Fd2LN5OZkZhb8wmJ6eyovHd/EtV1NluW+5mjwJvJ6vdbx47M+TwGt4lsr+u3t6/zo+b6+zfC2e3s/fOnOSkZ5K+Ks7OHurjiZxLlGL0KeFvzj2WuDlrXiWa4mefuF6TF/X4dtv9RLffpBLHXbRV4u/dT8l1zrs56mPg60u9x4XblTQh1iH09LTuff4GdXKlVZZ/lG5UtwKfJRr2U++mkbLz8cz9Ps5XL4ToPZ5UnIK7b6YROshExj98wICHj8vdL4AjvYG2Fjrc+l69BvfQ8GNOzGUKan5Qjdk9Ui/WQbg4vUoyvhml7nlH0ulcpYUd8r6TfZyN6FsKXPOX4l8L7mL/xYZ2i3+UXv27MHU1JSMjAySk7NO/n/99VeVmPHjx/P111+rlatfv77yvZ6eHr169WL58uXUrl2b5cuX06tXL7VGeWBgIF5eXujrq/9AOjk5YWFhQWBg4Dt9h7dz/uabbwq0nrelp6ezZs0abt26xeDBg4GsfdOpUyccHBzw8/OjZs2atGvXjhYtWhRqWzmxtsg6BETFqt6bGBWbRjGbnBuRVha6RMeolomOScPKIvuQcu9RAr8sSeJFcApW5rp0b+vA7K+9+WziPeIS3u3H+0PK19xEBx0dLWLiVcvGxGdgaaajsYyluQ4xAerxujpamJnoEB2XVTb6rZ7y6LgMLM01rzO/4uOiyMzMwMzCRvV7WNgQGx2ea9mJnzUhPjaKjMwMWnX+nFqNO6h8npQQx8RBTUhLS0NbW5tuAyaqNdgLKikhCkVmBsbmqvkam9mSGJe/C1FXji8nLTUJn4r/zN9XYRnY25ISorrvU0Mj0NbTQ9/WipTgMAwcbEkJiVCJSQmJwMAh516V/DIz1v67DqsOt46Jz8DCTHPvsYWZDjHxyW/FZ/5dh7WJjlMfut2tuTmRsRncfpD7PAd5iYuLJjMzA3NL1aGkFhbW3I7KvQ6P7t+SuJisOty+62fUa9Je+VlYyEv8b12mRt3mjPpmLiFBz/hzyQwyMjNo13VgzivNh4TYrJxN3/q7M7WwIS4m95y/G9qQ+NhIMjMyaNZpCNUbdlJ+Fhcdrva3bJaPv+W8JCdGo8jMwMjUVmW5kZkNSfcLt+7Xwp7fJCrkPnU6/FDodWXX4bePq5lYmmo+ZlqY6RDz1sWg7ONwdh02MtDit/H26OpqkZkJK3dHc/th4YZ1f4h1ODo2nozMTKwtVBugNhZmnI+O0VjG1sqcCQN7UtLTlbS0dPafvsAXP8xl0eRRyvuq3Zzt+WZwb7xcnUlITGLj/uMMnPILa37+GlfHYoXK2cYy63whMlr1vCAyOg0Hu5xHxlhb6hP1Vpmo6DSsrbLPP9Zue4GJsQ5rfqtMZqYCbW0t/lj7lKNn3s/fh/hvkYa0+Ec1aNCARYsWkZiYyNKlSwkMDGTYsGEqMV9++SV9+/ZVWfbmpGKv9e/fnxo1ajBt2jQ2b97MuXPnSE9PL1A+CoUCrQIOGXn9Hd5kbZ3zPT95eX3hICUlBX19fb788ktlD3rp0qW5ffs2V65c4cyZM5w6dYo2bdrQt29fli5dmuM6U1JSSElR/QHXdB93gxpWjOhbXPn+m1//vlr8VkeQFlpqy96m9rGWapnLN7N7gJ8Adx88YuUvpWhS25ptB/PX0PnQ8tW4XQ155Zbq2/Gva2tuZbS0NG/nXbz996FAkbV/czH6+xWkJCfxOPAmO9fOxc7Rlaq1sxunBkYmTPhlEynJiQTcusDWVbOwtS+OT5mq7yPjt94rNCxTd+/KHs4fmE/bAQsxNrPJM77IqFUILfXlmmLe46w2b69JS9PCXApoSvm11nVNqVHemB/+CCOtYIfzHL1dXxUo8hwqOGHaHyQnJfEo8Bab/5xPMcfiVK/b/O+8FZhbWNF3yCS0dXRwL1GK6Mgw9u/4s9CNkJxyRpF3zkOnrCY1OZGn92+wd8NsbOxdqVSrlcpa1Vf5noZMqv3Z5e/vLj8CLm/Fyt4bO5fC3cv9JrW6p/V3vchv/N/f7c3lyakKJs0Pw8BACz9PA3q2sCAsMgP/QvZKZ23tA6zDar8dOdc3NycH3Jyyb6Er6+NJSEQUa/ccVjaky3p7UtbbUxlT3teL3hOms/ngccb07Vqg3JrUtWPM5yWU78f/+HoSUdX/6PwcOhWK3Ms0rG1L03rF+G52AE+eJVLCw4Rh/T2JiErlwPHQAuVd1GSysbxJQ1r8o0xMTChRIuvgNW/ePBo0aMC3337L999/r4yxtbVVxuSmTJkylCxZku7du1OqVCnKlCnD9evXVWJ8fHw4c+YMqampar3Sr169IjY2Fm9vzbNI5uc7vA+vLxwYGxvj6Oio9kOjra1N1apVqVq1KqNGjWLNmjV88sknTJo0CQ8PD43rnD59Ot9++63KsilTpgDtVZadvxZDwMME5Xs9vayDpJWFHpEx2Wexlua6RMXmfFYbFZOOlYXqaIC8yqSkZvLkRTLODvm/D/JDy/dNsQkZZGQo1HqfLUx1crz3OjpWvbfa3FSH9AwF8X/3ir/ulc7vOvPL1MwKbW0dtR6ruJhIzCxzb2ja2mdd7HB28yYuJoK9mxapNKS1tbUp5ugKgItHSYJfPubg9mWFakgbmVihpa1DYqxqvolxERib2eZQKkvA1X0cWT+JVv3m4upbM9fYopQSEq7Ws6xvZ01mWhqpEdFZMcHhGDiofl+DYtZqPdnvIi4xM6sOm6qeTJmb6qj1Ur8WE5eBxdt12EQ7qw4nqpZpWceUtvXNmL4snOfBhW9Fm5lZoq2tQ0y0ag99bEwUFnnUYTv7rIu3Lu4liImOYOeGJcpGiKWVLTo6umjrZH8vx+IexERFkJ6Whu473K70mol5Vs5v9z7Hx0ZiZp57zjbFsv7uHF19iIuJ4NDWhcqGtJmlrYZ1Rqj1UheUobElWto6JMWprjspPhIj08JfkEpPTeLRzX1Uajws7+B8UNZhMx0guyfRwkQ71zpsaaZa5y1M1euwQgEhkVnH3WdB6TgX06VNPVP8H7/7EN4PsQ5bmpuio61NRHSsyvLImDisLfI/d0cZbw8OnL6Y4+fa2tqU9nLjeVDBG6NnLkZyNzD71oPX5xLWlvpERGXXCysLPaJicr4QEhmdqtL7DGBpoUdUdHaZIX08WLvtBcf+7oF+9CwRBztDenYo/sE1pEXe5FKD+FdNmTKFmTNn8urVu81c+Omnn3LixAk+/fRTjZ9369aN+Ph4Fi9Wf1zGzJkz0dPTo2PHju+07ffl9YUDJyenfPUOlC6ddd9RQkJCjjETJkwgJiZG5fXmDOevJSVn8io0Vfl6+jKZiOg0KpXJHpKlq6NFWV9T7t7PeXv+DxKo5Kc6jKtyGTPuPsi5jJ6uFi5OBmpDqXLzoeX7powMePQilXI+qvcul/MxJOCJ5iGs95+mqMWX9zXk0fMUMv4+fwt8mkJZDesMfFq4YbG6enq4epbC/+Z5leX3bp7H07d8vtejUChIT8t9n+UnJi86uvoUc/HjWYDqPcTPAs7i6JHz/cH3ruzh0LqvaN57Fh5+9QuVwz8t+vx1bBupNvTtmtQm5sptFH+Pxok6fx3bRqr3q9o2rk3UucLfr5qRAY9fpVHGW/ViUtkSBtzPYYb4+89SKVvirXhvAx6/TFPWYYBWdUz5uKEZM1aE8/jl+3nsla6eHu5eJblz/YLK8rvXL+BVsgC9mwqU81YAlChZnpCg52RmZn+B4FfPsLSyLVQDBEBXV5/iHqUJvHlWZXngrbO4+1QowJoUpKdl/5+4eVcg8NY51XXePIubd0HWqU5HVx9bJz9ePlDN99WDsxRzK/x9+Y9uHSAzI5USFd/P4/GUdfitOlkmtzr8PFVj/Nt1WBM9ncL1yn+IdVhPV5eSHq5cvOWvsvziLX/K+njmUEpdwOPn2Fjl3PBWKBQEPnmBjVXBJxxLSs7gZXCy8vXkeSIRkalUKW+pjNHV1aK8nwW378XluJ47AXFUfaMMQNUKltwOyC5jYKCt9sSPjL+HeH9wZLKxPElDWvyr6tevj5+fH9OmTVMui4uLIzg4WOUVGxursfzAgQMJCwtjwIABGj+vUaMGI0aM4Msvv2TWrFk8fPiQe/fu8fXXXzN37lxmzZqFi4tLgXJOSUlRyy88/J+516VTp07Mnj2bCxcu8PTpU06cOMHQoUPx8fGhZMmSOZYzMDDA3Nxc5ZXfR3TtOBhGt9b21KxsgZuzIWMHupKSmsnx89mP3PryM1f6dc5+/NGOQ2FULmNGl5bFcHE0oEvLYlQsbcb2N4ZAD+zmRFlfE+xt9fH1NObrL9wxNtLh8JnCTbjxIeW751QMjaqZ0eAjU5yL6dGnrRW2VrrK50J3b2nJ0O7ZvYmHzsVha6VL77ZWOBfTo8FHpjT8yIzdJ7L/HvadjqW8jxHtGpjjVEyPdg3MKetjxN5Tmv9mCqJhm084e3QbZ49uJ+jFI7as+IWo8CDqNO0MwI61c1k5b5Iy/uT+Ddy8fILQoKeEBj3l3LEdHNm9mo/qZg8vPbBtGf43zhEe8oLgl485uns1F07uUYl5V5Xq9+P2+S3cOb+FyOCHnNw2jbioIMrV6gbAmd2zOLhmnDL+3pU9HFoznrrtxuPoXp6E2DASYsNISco+CcpITyX0hT+hL/zJTE8lISaE0Bf+RIepP+++oHRMjDEvXxLz8ll/y8YexTEvXxJDl6y66vvDaMqv+FkZ/3TJBozcnCj1y1eYlvSkeN+OuPTryKNflytjnsxfjW2TWniOHYiJryeeYwdi26gGT35bVeh8AfafjqdBFRPqVTbGyU6XXq0ssLHU4eiFrItQXZuZ83nn7Bnzj15IwMZKh56tLHCy06VeZWPqVzFh76nsfdy6rimdm5qzZEsUYVEZWJhqY2GqjYF+4U+emrbryakjOzh1ZCevnj9m/bJZRIQH06BZ1gXUzX/O5485k7Pz3beJ6xdPEfzqGcGvnnH66C4O7PyTGvWzR1Q0aN6RhLgY1i2dSfDLp9y4fIa9W1bQsGXnQucLULdVHy4c38qF49sIefmQnat/Iio8iBqNs4av7l0/m3ULsy+Mnjm0jjtXjhMW9JSwoKdcPLGdE3tWUrl2a2VMnRa9CLx5lmO7lhLy8hHHdi0l8PZ56rbsXeh8y9TuQ+DlrQRe3kp06EPO751OfEwQJT/KyvfSwV85uXm8SpmIV/5EvPInPTWR5IQoIl75ExXyQG3dgZe34lqqEYbG7/5kjLft/yue+pWNqVvZCCc7XXq2NMfGQkf5bPMuTc0Y1MlSGX/sYiI2ljr0bGGOk50udSsbUb+yMfvOxCtj2tQ1pYyXAXZWOjja6tKilgm1Kxrz143CP0f6Q6zD3Vs1Yuexv9h1/CyPXwYxe9VmQsKj6NC4DgAL1u9g6oKVyvj1+45y8tJ1ngWF8uj5Kxas38Hxi9fo3Ky+Mmbplj2cv3GXlyFhBD55zg+L/yTw6XM6NK77XnLevOclvTq5UKeaDR6uxkwY5k1KSgaHT2WfF0wc7sNnvdyU77fseUWVClb0+NgZV2cjenzsTJVylmze/VIZc/ZSJJ90cqF6ZSsc7AyoU82Grm2dOX1edZSB+N8gQ7vFv2706NH069eP8eOzfmgnT57M5MmTVWIGDRrE77//rlZWV1cXW9vch23OmTOHcuXKsWjRIr755hu0tLSoVKkSO3bsUJvlOz8OHDiAo6PqM3R9fX25d+9egdeVl2bNmrF+/XqmT59OTEwMDg4ONGzYkKlTp6Kr+8/8uW7aF4q+vjZf9C6OmbEO9x4lMuGXhyrPZLaz1ueNC9ncfZDItIVP6NvRkd4dHQgKTWXawicqz2S2tdJjwmB3zM10iIlL596DREZ+F0hoROF6nz6kfM9dT8TMOJKOTSyxMtfheVAq05eGEB6VNRzQylwXW8vs/9ewyHSmLw2hTztrmtUyJyomnRU7IpXPkAYIfJLCnDVhdGthRdfmVgRHpDHnz7BCP0MaoEqt5iTExbBvyxJio8JwdC3BkIkLsLHLejZsbFQ4UeHByvhMRSY7184jIvQl2jq62NkXp33PEcpnSAOkpiSx4Y9pREeGoKdvgL2TB32H/0iVWoV/PqxvpZYkJ0Rx/uBCEmNCsXH0od2gJZhbZw1xTIgNIzYqSBl/6+xGMjPTOb7lO45v+U65vNRHH9OsZ9Zz5eNjQln3S3vlZ1eOLefKseU4l/iIzsP+LFS+FpXLUONo9jpKz5wIwPPV27jZfwIGjnYYuWQfa5KevOBSm88oPWsCboN7kvIqlDujflQ+Qxog6tw1rvUcje+3I/H9djiJD59zrceo9/IMaYDzt5IwNdHm40ZmWJrp8CIkjV9WRhD+93PQLc20sbHMHi4aUawGzgABAABJREFUFpXBLysj6NXKgibVTYiKzWD17mjl83cBGlc3QU9Xi5G9VIeqbj0Sy7ajOfcG5Ue12k1JiI1h18alxESF4+zqxahv5mJbLGu/xkSGExGWXYcVmZlsWTOfsJBX6OjoYOdQnE6fDFM+fxfAxs6BMVPns375r3wzsjtW1nY0ad2Nlh3ezyPGKtZoQWJcNIe3LSI2OgxHF28GjP8d69d/d9FhRIdn12NFpoJ9G+YQGfYSbW0dbOxdaNV9FNX/foY0gIdPRXoN/4X9m37jwKbfsLF35ZPhMwv9DGkAz3ItSU6M5tqxhSTGhWFl703TPr9jZpX1d5cUF0Z8dJBKmR3zs/dn+Ms7PLyxB1NLJ7qOO6pcHhP+mJCnV2jeL+f5QN7FhVvJmBnH8HGDN+rw6kgilHVYB1sL1To8c1UkvVqZ0/h1Hd4bo1KHDfS16NvWAmsLHVLTFLwKS2fR5igu3CrcyCD4MOtwk5pViIlPYPnWvYRHx+Lp4sjsr4biaJf1Nx4RFUNIePZF6fT0DOat2UZYZDQG+np4FHfk1/FDqVWxjDImLiGJ6X+sJSI6FlNjQ3zcXVg8ZQx+JdzfS87rtr/EQF+H0Z95YWqqi//9OMZ8e0flGdL2dgYq90TfDojj21n3GNDDjf7d3XgVkszUWQHKZ0gDzPnjEQN6uDL6My+sLPQIj0pl16EgVm56PzOOi/8WLcXbd80LIf5nNOtzvahTyLeDqyp8cPl2GfOkqNMokE2z3Dn6Hk70/i2Nyhqy6EBRZ5F/g5vDXj3fok4j31qlBdBzwsu8A/9D1k535qx/4Rrb/6aapczYc/U9zaL2L2hdSZcZW/MYv/wfM66jNr0mvdvtYkVhzY9OH1wdjr52rKjTyDfLig2p+/GZvAP/Q05tr513UBGIu1x0P8BmVQp/sf3fIEO7hRBCCCGEEEKIApCGtBDvaO3atZiammp8+fn5FXV6QgghhBBCvBOFllaRvT4Uco+0EO+obdu2VKtWTeNneoWcBVMIIYQQQgjx3yUNaSHekZmZGWZmZnkHCiGEEEIIIf6nSENaCCGEEEIIIUQ2LbkDOC+yh4QQQgghhBBCiAKQHmkhhBBCCCGEEEoKPpxJv4qK9EgLIYQQQgghhBAFID3SQgghhBBCCCGUFHKPdJ5kDwkhhBBCCCGEEAUgDWkhhBBCCCGEEKIAZGi3EEIIIYQQQohsMrQ7T7KHhBBCCCGEEEKIApAeaSGEEEIIIYQQSgotefxVXqRHWgghhBBCCCGEKABpSAshhBBCCCGEEAUgQ7uFEEIIIYQQQijJc6TzpqVQKBRFnYQQQgghhBBCiP+GyJuni2zb1uXqFNm2C0J6pIX4H9ZmkH9Rp5BvuxeX+uDyHfBjeFGnUSBLJ9ny6OHDok4j3zy9vIj6cXBRp5FvVpMW0XPCy6JOI9/WTndmr55vUadRIK3SArj/8GlRp5Fv3l5uPH0QUNRp5JtbCV+Gzowu6jQKZMFYyw+qHn+Idbj7uGdFnUa+rZ/hysdf3C/qNApk+3zvok5BM5lsLE/SZy+EEEIIIYQQQhSA9EgLIYQQQgghhFCSe6TzJntICCGEEEIIIYQoAGlICyGEEEIIIYQQBSBDu4UQQgghhBBCKCmQycbyIj3SQgghhBBCCCFEAUiPtBBCCCGEEEIIJZlsLG+yh4QQQgghhBBCiAKQhrQQQgghhBBCCFEAMrRbCCGEEEIIIUQ2LZlsLC/SIy2EEEIIIYQQQhSA9EgLIYQQQgghhFBSSH9rnmQPCSGEEEIIIYQQBSA90kIIIYQQQgghlBRyj3SepCEt/jPOnj1LnTp1aNKkCQcOHFAuf/LkCR4eHsr3lpaWlC1blu+//5569eoB0LdvX1atWgWArq4uLi4udOjQgW+//RYTE5Nct/v2+vX09HB1daVv375MmjSJNWvW8Pnnn3Pjxg1KlCihjHv16hV+fn5MnTqVkSNH5rqNFStW4O7uToMGDTR+HhQUhIODAwkJCXz33Xds3ryZV69eYWZmhp+fH2PHjqV169a5bqMwure2pVkdS0yNdQh8nMTv64N5FpSaa5maFc3o2dYORzs9gsLS+HNnGOevxyk/b1HXkhb1rLC30QPgWVAKG/aEc+VOwn8y307NbahZ0QxnB31SUxXce5TEym2hvAzJfb15qV/ZkGbVjbA01eZVWAYbDsdz/3l6jvE+rrp0bWyKk50O0XGZHDifxMmrydnfo5wBn7YxUyv3+U/hpGcUKlUA9uzZw5atW4mMjMTNzY1Bn31GmTJl8ix3584dxo0fj7u7Owvmz1f5LD4+nlWrVvHX2bPEx8fj4ODAgAED+Khq1ULna1C5LgbVm6BtakFGWBBJhzeT/vyBxljj1r0xKF9DbXlG2Ctil3yfvc6qDTGoXBdtcysUSfGk+l8j6fgOyMj5/60gGlc3oVUdUyzNdHgZmsafe2IIeJJzPSvpoU+vVhY4F9MjOi6DPSfjOHoxUfl5g6rG1K5ojItD1t/a45epbDwYy6MXaYXO1bp2FTzH9MeiUhkMnYpxueMQQnYdzb1MnaqUnvkVpqW9SXkVysNZS3m2ZINKjMPHTfGZOgJjL1cSHz4jYPJsQnYeKXS+AHv37GLb1s1ERkbi6ubGwM8GU6ZM2TzL3b1zh6/Gj8HN3Z3f5v+uXH7k8CHmzJ6pFr9txx709fXfS8679uxj87ZtREZG4ebqyuDPBlC2jF+e5e7cvcuY8RNxd3Pj9/lzlcvHfjWRm7duq8V/VKUKP3w7udD51qmgT+OqBliYaBMUnsGW40k8fJnzAahEcR061jfC0VaHmPhMDl9K4cyN7Do/oqspPi7qp6S3H6WxaFvhfjOkDv87dbhJDVNa1zPH0kyHFyFprN4VRcCTlBzjS3ka0Ku1FcXt9YiKzWDPyViOnI9Xfl7cXo9OTS3wdNbHzlqX1bui2H8mLsf1vYuuLa1pWssCEyNt7j9NZsnGMJ4H5/6bX72CKT1aWeNgq0dweBprd0dw4WZ2HS3tZUj7xlZ4uRpibaHL9CWvuHiz8Oc94r9JGtLiP2P58uUMGzaMpUuX8uzZM1xdXVU+P3LkCH5+foSGhjJx4kRatmzJ7du3lY3g5s2bs2LFCtLS0jh9+jQDBgwgISGBRYsW5Wv7r9efkpLCmTNnGDBgAI6OjvTv35/t27fTp08fTp8+jbZ21h0Rn332GRUrVuTzzz+na9euyvWMGDGC2NhYVqxYoVxmYWHBhQsXAAgICMDc3Fxl28WKFQPg888/5+LFi8yfP5/SpUsTERHB2bNniYiIKODezL+OzWxo39iaOauCeBmSSteWNnw30pXBkx+RlJKpsYyvpxHjBjqzZlcY56/FUb2iGeM/c2b8jCcEPslq9IVHp7NqeyhBoVkn841qWDBpiAsjf3iUZ6O3KPIt42PM3hNR3H+ShLaOFr3b2fHdCFeGTH1ISqrinXKtWkqfbk1MWHsgngfP06lbyZAR3SyYvDiKyFj1XG0ttBnR1YJT15NZujOOEi669GxuSlxCJlcDsvdZYnImX/8epVL2fTSiT548yeIlSxg6ZAilS5dm3/79fDN5Mot//11ZRzVJSEhg5qxZVKhQgejoaJXP0tLSmDhpEpaWlkyaOBFbW1vCwsMxNjIqdL56pSpj1KQziQc2kP78IQaV6mDabSgxi79DERulFp94eFNWg/g1bW3MB0wi1f+qcpG+X1WMGrYnYc+fZLx4iLa1PSZtegOQdGRLoXOuXtaIT1pZsGJnNIFPU2lYzYRxfW0YNzuUiBj1/0Q7Kx2+7GvD8UuJLNwYhY+bPv3aWRKbkMmlO1l1t5SnAeduJrF6dwyp6Qpa1zXlq09tGT8nhCgN9awgdEyMib0ZwItV26i8eX6e8Ubuxam6ewnPl23mep8vsapZiTK/TSE1LJLg7YcAsKxegYrrZhM4ZS7BO4/g0K4xldbP4Vz9HkRfvFmofE+dPMEfS35n8JBhlC7tx/79e5k6eRILf1+aZx3+ddYMyleoSHS0et0xNjZm8ZLlKsveVwPkxKnT/P7HUoYN+Ry/UqXYe+AAk6Z8y9JFCyhWzC7XnGfMmkPFCuWJiopW+WzypAmkp2Vf+ImNi+PzL4ZTt3atQudbyVePTg2M2HgkiYcv06ld3oChHU35fkUsUXHqx0obC22GdDTlr5uprNyXiJezLl0bGxGfqOD6/azfhz92JqD7xs2GJkZaTOhjxrWAwl8Mkjqc5Z+sw9XLG9O7jRXLd0QS8CSFxtVM+aq/HWNnBRERrfm4Nu5TO45fiGfBhnB83Q34tL01sfEZXLydlJWbnhahkelcuJnIJ22s3kueb/q4sRVtG1jy25oQXoWm0am5NVOHOTP0uyckp2j+zff1MGRsPwfW7Y3gwo14qpU3ZWx/Ryb++pz7T7MuGhgaaPPkZSrHzscyfqDTe89b/LfIPdLiPyEhIYFNmzYxePBgWrduzcqVK9VibGxscHBwoFy5cixevJjExEQOHTqk/NzAwAAHBwdcXFzo0aMHPXv2ZMeO/2PvvqOjKt4Gjn+3pJdNTwgJCSGVGkClN+kdpDdBAZGudFAElCIICoIgSGhKl16kKgpSFEjooSR0Qnqv294/FjYsuyENRX7vfM7Zc+DuzNxnb2bv3rlT7s4ix/C0fB8fH/r06UPdunU5f153gb18+XJu3brF119/DcCaNWs4fvw4q1ev1u/36cvKysrktqfc3NwM3vPw8NA3zvfs2aO/SeDr60vNmjUZOXIk/fv3L8FRLZoOTZ3Y8ksip8LTufcol2/WxGBhLqXRW/YF5unY1ImIa5n8fCCRB7F5/HwgkQuRmXRo6qRP8/fFDM5dzuRRXB6P4vL4cVc8ObkagvxK14D6p+Kd/u19jp5K5V5MHnce5LJwbQxuzmb4+1iWONbmtaw4EZHD8YhcYhLVbD6cSXKamsY1TJfZqIYlSWm6dDGJao5H5HLiQg4taxsfs7RMrcHrZdixYwctWrSgVatWlCtXjg+HDMHV1ZV9+/a9MN+3ixfTpHFjQoKDjd47dOgQ6enpfDZ1KpUqVcLd3Z3KlSrh5+dX6ngtazUlL+IkeRF/okl8TPbhrWjSkrGo0dB0htwctJlp+pe8jA8SK2vyLpzSJ5F5+aG6H4Xyyt9oUpNQ3b5G3pWzyMr4lDpegNYNbDl2NpNjZ7N4FK/ip72pJKaqaVbb9MiZprVsSExR89PeVB7Fqzh2Novfz2XRtmH+qISlm5M5cjqTuzFKYuJVrNyeglQClSpYlDre+IN/cGPaQh7vPFyk9D4f9CTnXgxXx84mIzKa+6t+5v6a7fiNeV+fpvzI/iQcOUnUvBVkXo8mat4KEn49je/I0p/ndu7YRvMWrWjZqjXe5crxwZChuLi6sn/fnhfmW7J4IY0aNyE4OMTk+xKJBEcnJ4PXy7Jtxy5atWhG65YtKFfOm6EfDMbVxYU9+/e/MN/CJUtp0rghIcFBRu/Z29nh5OSof50PD8fSwoIGDUrfkG76hgWnLuVx8lIesUkatv2WTXK6hgahputb/WrmJKfp0sUmaTh5KY9Tl/Jo+mZ++qwcLWlZ+a9gHzPylHD+RulGBIGow0/9k3W4bQM7fvs7g9/+yuRRnIp1e1JITFHTvLatyfTNatuRmKxm3Z4UHsWp+O2vTI6dzaBto/zf8egHeWzYl8KpC1moVC/nN+5Z7Zo48PPBZE5fyOReTB7f/hiLhZmEhm8Yj/jS52nswIXILLYfSuZhrJLth5K5eD2L9k3yG/rnr2axYW8ipy+8/r3QWon0lb1eF69PpML/tM2bNxMUFERQUBB9+/Zl9erVaLUFnzitra0BXW9XQaysrF74/oucPXuW8+fPU6tWLQBcXV1Zvnw5U6dO5fDhw3z88ccsWrQIH5+Xc3H9lIeHB/v37yc9/eUOXyqIu4sZTgo54Vfzh1OpVFou38giuELBDd5gPyvCrxr+SIRfySSkgrXJ9FIJNHjDHktzCZHR2f/5eAFsrHSnx/TMkvXoyaTgU0bOlduGdfBKtJIKXmYm81TwMuNKtHF6nzJyZM+crS3MJcwd4ci8kY6M7G6Pt7usRDE+S6lUcvPWLWrUqGGwvUb16ly9dq3AfIcOHSImJoY+ffqYfP/0mTOEhITw3dKl9Ordmw+HDmXT5s2o1aXsQpfKkJUph/L2VcPPEX0NuVfRGunmoXVR3Y5Ek5ak36a6H4WsTDlknrrvttTBBTP/SihvXSpdvIBMBuU9zbh003C446WbuQSUM90zFFDO3Cj9xRs5lC9rZlAnnmVhJkEmk5CZ/fIvPgvjUDuU+CN/GmyLP3QcRc3KSOS6QXCOtUNJOHLCIE3C4eM41qleqn0rlUpu3bpJ9efqcPXqNYm8drWAXHD40EEex8TQu0+/AtNkZ2fzXv++9O/XmxnTphIVZXr6QElivnnrFjWqG372mjWqc/VaZIH5Dh4+QkxMDP169yrSfg4cOkKjhg2wsiz5jUHQnde83WVcu2M4zeHaHRV+nqYHOfqVkZtM7+MuQ1pAHa5TxZxzkXnklb5DuthEHS4emQzKlzXn4o0cg+0Xb+YQ6Gv65kqAjzkXbxqmv3A9Bz8v8wLPay+Tu7McJ4WciMj8KTIqlZYrt7IJfsHN/qDylgZ5ACKuZRHkV7rvlfD6EkO7hf+EsLAw+vbtC+iGaGdkZHD06FGaNWtmlDYzM5PJkycjk8n0c6Sf99dff7FhwwaaNm1a5Bjq1q2LVColLy8PpVLJBx98wLvvvqt/v1OnTnTv3p1WrVrRrl07BgwYULwP+YSXl5fB/8uWLcv169cBWLFiBX369MHZ2Zlq1apRv359unbtSr16pe9FMMXRXncKSEkzbNSkpKtwczLd2ANwsJeTkmZ4YZSSpsLR3rBB5+NpwVcTfTE3k5Cdq2HW9w+4X4ph3f90vM8a2M2dKzezuPeo4DleL2JrLUUmlZCWYdgQT8vUoLA1vYCHvY2UtOca7mkZGuQyCbbWElIztDxOULN6TwYP4lRYWUho+qYVk/o7MOOHZOKSSz6MNy0tDY1Gg6ODg8F2B0dHkpONhwkCPHz4kNVr1vDVvHnIZKaP5ePHj7lw4QJNmjTh8xkzePjoEUuXLkWtVtOnd+8SxyuxtkUilaHJMLzppM1MR2qrKDy/rT1mFSqRudNwqKPy6llyrG2xe3ccIEEik5Fz7ndyTx0yXVAx2FlLkckkpD5XJ1Iz1CjsTF9wKuxkpGbkPJdeVyfsbKSkpBv/zXu2sicpTc3lWzlG7/3TLNxdyI1NMNiWF5eI1MwMcxdHch/HY+HhQm6s4XSV3NhELDwKHsZcFPl12HAYqKOjI+dfUIfXrglj7ryvC6zDXt7efDxmHD6+5cnKymL3rh1MGPcx3y75nrJly76kmB0MY3ZQGA3Xzo/5EWFr1vL1vC8LjPlZkddvcOfuXcaMHlmqWAFsrSS681qWYb1Lz9Jgb2P6ktLORkL6c+nTsjTIZBJsrSRGI2p8PGSUdZWx/qBhg+XfIupw8djbyJ6c1wx/l1PT1SjsTDcwHexkpKY/f15Tv/C89jI5PL2WSH/uuiBdjatTwU0jB3s5KenPX3+ocbQr/c3s/yItYrGxwoiGtPDKXb9+nb/++ovt27cDusXCevTowapVqwwa0k8bullZWZQpU4Y1a9ZQpUr+4ht79+7F1tYWlUqFUqmkY8eOLF68uMhxbN68mZCQEJRKJZcuXWLUqFE4Ojry5Zdf6tNMnTqVdevWMXXq1BJ/3uPHj2Nnlz90SC7P/xo2bNiQ6OhoTp8+zZ9//smvv/7KokWLmDFjxgv3mZubS26uYYPPwsL4wrzRW/YM71NG///Pl9wH4PnOfwlQWF+W0fsS420PY3MZPTMaG2sZdavb8fEATyYvuFvkxvS/He9TH/Zyx7esBRO/ulukOIuzX4nEOP7C0kN+nuhHKqIf5f/437qfztRBDjR904qNh0o/lEzy3CqdWq3WaBuAWq1m7rx59O3Tx+jmkEF+jQYHBwdGjRyJTCYjICCApMREft62rVQN6Wf28NwH4MUH+AmLqnXQ5mSjvH7BYLu8XACW9Vrp5l0/vI3MyRXr5t3R1k8l58QvLyFeE39jUxtfkOH5OvGsdg1tqVPNmpk/xKN8OWujFZ/RF9REwKbSFOHvViQm67BxMrVazfx5c+jd513KvqAOBweHGAyXrVixEqNHDWPvnp0M+XD4Swr5+ZjB1DWsWq1mzlfzebdPb7yK2AA6cOgwvj4+BAcFvoRInwZoYtOLzmsmvqYFlVO3ijkP49XcffwSFn4oKVGHi6+Uh+Ppx3tZh/BZDd+w48Ne+fPLZy179GRnxjEUtv/nR0sW5fpD+N8lGtLCKxcWFoZKpTK4K6rVajEzMzPoCdu8eTMVK1bEwcEBZ2dno3KaNGnCsmXLMDMzw9PTEzOzgnsoTfH29tavyh0SEkJ0dDRTp05l+vTpWD4ZDve00fts47e4ypcvj8NzvQ/PMjMzo0GDBjRo0IBJkyYxc+ZMPv/8cyZOnFjgwiBz5sxhxowZBtumTZsG9DDY9teFDG7cjs7fl1z30+WokJH8TI+tws64B/dZut5cw2PgYCc36ilWqSEmXgkouXU3hwBfKzq87cR36x8XWParjBfgg57uvFXVjsnz75KYUvKWSEaWBrVGi8LWcJyanbW0wDnNaZkaFDbPpbeRolJrCxymqwXuPFLh5lS6O+L29vZIpVKSnuv1SE1JMVlfs7OzuXnzJlFRUSx9sqCfVqtFq9XStl07Zs2cSWhoKI5OTsjlcoOeEm9vb5KTk1EqlcX+nj6lzcpAq1EjtbXn2b+ixNoOTWZaofnNq9Ul79IZ0BjWActGHci79Bd5EbqhnZr4R2SbWWDdpg85Jw5Qmkum9CwNarUWh+fqhL2tzKiX+ildr47h39b+SZ3IeK6Xr00DWzo0tmNOWAL3H7+aVnRubIJRr5y5qxMapZK8xBRdmscJWHi4GKSxcHMy6gUsrqd1ODk5yWB7SkoKDs/18MHTOnyDqKhbfL9MtwjV0zrcoV0rvpg5h2qhxkN1pVIpAQFBPHr4sFTxPhvz89+7lNRUo17qpzHfuHmLW1HRLFm23CDmVu07MWfmDKpXq6ZPn5OTy7E/jtO/78u4aQUZ2VrUGi32NlJ45ptnZy0lPcv0dyM982l6DNKr1VoycgzzmMmhZrA5e/8s+RSg0hJ1uHjSMtWo1Vrj85StjLQM0zdDUkyd12xlJs9rL8NflzL0C4tC/rWEg72c5GeuAxR2MlLTC76BY+paQmEnM+qlFv7/EA1p4ZVSqVSsW7eOBQsW0KJFC4P3unTpwvr16/WPffL29qZChQoFlmVjY2PweKrSkslkqFQq8vLy9A3pV6FixYqoVCpycnIKbEhPnjyZMWPGGGyzsLCg66hog23ZuRqy4w1/pJJSVYSG2BB9X9ejLZfpVrBeuz2uwJgio7MJDbFh19H8H/vqFW24FvXioXgSSf4PWFH82/EO6elOnVA7Jn99l9jE0k3OU2vgboyKiuXNCH9mxe2K5c2IKGABnagHSqoFGP6NK5U3426MCvULri283WU8jC/dD7mZmRkB/v6Eh4dTr25d/fbz4eHUqV3bKL21tTXLli412LZ33z4uXLjAJ1Om4OHhoYu/YkV+O3YMjUajX1Tv4cOHODk5lbgRDYBGjTrmHvLyIQa9ymblQ8i7ceEFGXW9zjInNzIunDR6T2JmDlrDg63VPPl/Kbse1Gq4/UhJ5QALzl7Nv6ir4m/BuWumh2HfvJdHjWDD80+VAAtuP1Qa1Im2DWzp9LYdc1clcPvhK5hY+kTK6Qjc2ho+5s+1eX1Sz11Gq9I17pNPR+DStB63F63Vp3FpVp/kU+Gl2reZmRn+/gFEhJ+nbt36+u0R4eepVdv4sWfW1tYsWbrcYNv+fXu4eCGCSVOm6uvw87RaLbejo/DxLW/y/eLGHODvz/nwCOrXzY/xfHgEdWq/ZTLm5d8ZjrTas28/ERcvMnXyJDw83A3e++P4CZRKJU2bNC51rKA7r92PVRPsK+fCrfx6Fuwr5+It0/UuOkZFlQqG3/UQXzl3Y9Vonjuv1QwyRy6Dv6+KOvy61GG1WvfIvaoBlpy9kn8DpEqAJeeumL4muHk3jxoVDeciVw20JPpB3gt/60oqJ1fL41zDOpWUqqJasDW3H+RfS1Tyt2LdroJvhly/nUO1YGv2/Jai3xYabM316H9/Gs2/4XVa9OtVEQ1p4ZXau3cvycnJDBw4EIXCcF5j165dCQsL+0efn/ysxMREHj9+jEql4tKlSyxatIgmTZoYPaqqtOLi4sjJMTzpOjs7Y2ZmRuPGjenVqxdvvPEGzs7OXL16lSlTphQah4WFhcmh3EWx+2gS3Vq78ChOyaO4PLq3diY3T8Pvf+X36n08oAyJKSrW7YzX5/lynA9dWjpzJiKdWqF2VAuxYeK8O/o8/Tq5cu5yBgnJKqwspDR8057KgdZM//Z+ieL8p+Md2suDhm/ZM2vpA7JzNDg8mT+dla0hT1my1tPhM9kM7GjHnRgV0Q9UNKxuiZNCxrEnz4V+p7E1DnZSVu3RLZ72+/kc3n7Diu7NbDgenoOfl5z6oZas2JE/D7h9AyuiH6qITVLr50h7u8vZcLD0w7o7d+7M/AULCAgIICQ4mF8OHCA+Pp42bdoAuuehJyYmMm7cOKRSKb6+vgb5HRQKzM3NDba3bduW3Xv28P3y5XRo355Hjx6xecsWOnToUOp4c84cxabjANQxd1E9uI1F9fpIFY7knT8OgGXjjkjtHMjas9Ygn3loPVQPb6OJf2RUpvLmRSxrNUUV+wD1w9tInVyxatQe5c2LL2XM4S/HMxja3ZHbD5TcvJfH22/Z4Owg4+gZ3d+vR0t7HO1lfL9V10N59EwmzevY0Ketgt/+yiSgnDmN37Bhyab8m0LtGtrStbk9321KIj5ZrR8FkZOnLfGj256S2Vhj45//KELr8l7YVwsmLymVnPsxBM0cg2VZdy68NxGAuys24TOsDyFfTeJ+2BYcalfH+70uhPcdqy/jzpJ11P71J/zGDSZ2z1Hc2zfFpWkdTjUufa9pp85d+HrBPPwDAgkJrsiBA/uIj4+jTRvd78ia1WEkJiYydtyEJ3XYsCGhUDhgZm5usH3D+h8JCg6hrGdZ3fzS3TuJjo7iw2EjSh0vQJfOHZm34BsCA/ypGBzMvgMHiYuPp12b1gCErVlLYmISE8Z+jFQqpbyv4SKXDg4KzM3MjbYDHDh8mLp1ar/U37GjZ3Pp38aae4/VRD9SUb+qOU52Uk5c0DVIOjSwxMFWyrpfdI2oExfyaFTdgncaW/LnxTz8POXUqWLO6r3Gjaw6Vcy5cEtJZs7LGywr6vA/X4f3HU9neA9noh/kceNeLk1r2eLiINM/F7pnKwWOCjnLNuvmlR85nU6Lerb0befAr39lEFjOgiZv2rJ4Q34jViYDLzfdDRi5XDcSzaeMGTl5WmITSz/iZu9vKXRt4UhMXB4x8Uq6tHQiV6nlj7P5v7ej+rmTlKrip926uPceS2HWR150bubIX5cyeKuKLVWDrZnydf51jaW5BA/X/BtH7s5m+JY1JyNLQ0Lyq5pvI/xTRENaeKXCwsJo1qyZUSMadD3Ss2fPJikpyUTOl+/pfGyZTEaZMmVo06YNs2bNeun7CQoyflTJqVOnqF27Ni1btmTt2rVMmTKFrKwsPD09adeuHZ999tlLj+OpbQcTMTeTMLS3B7bWUm7czuazRfcNnsns6mRm0IaIjM5m3sqH9OvoSp8OrjyOz2PeDw8Nhk452MkZ854nTgo5mdka7jzMZfq394m4VroG3z8Vb5vGumFzc8YZXowuXPOIo6dSSxTr39fysLHOpH19axS2Uh7Fq1m0KVX/DGmFrRRnRf7wtoRUDYs2p9KjuS1NalqSkqFh46FMg2dIW1tIebeNLfY2UrJztdx7rGLej6ncflT6H+hGjRqRnp7Ohg0bSEpKwtfXl89nzMDdXdfLlZScTFx8fLHKdHV1ZdbMmSxfsYJhw4fj7OxMx44d6da1a6njVV47R7a1DZb12+qGeMfHkLHpO/0q3FJbBVLFc494sbDEPLg6WYe2mCzz6Txoq0btkdo5oM3KIO/mJXKO7Sp1vACnL2VjayOlc1M7HOxkPIhV8tWaRBKePGvVwU6Ks0N+nYhPVvPVmkT6tlXQvLYNyWm6R8Y8fYY0QLPaNpjJJXzU13DKy7YjaWw/WronAChqVqbO0R/1/684fwoA99dt5+LAyViUccXKO38dg+w7D/i7/QdUXDAZn6F9yH0Ux5WPZ+mfvwuQfCqc8D5jCJrxEUEzRpEVdZ/w3h+X+vm7AA0bNSY9PY1NG9aTlJSEj68P02fMxO1JHU5OTiI+vuDRK6ZkZmaw5NuFJCcnY2NjjV8Ff76ct4CgIOPHvZVE44YNSEtLZ/3GzbqYfXyYOeMz3J88MzgpqfjfO4AHDx9y+cpV5sycUXjiYjh/XYmNVTat61hibyMhJkHN0u0ZJKXpTroKGymO9vk9WYmpGpZuy6BLEysahlqQmqlh66/Z+mdIP+XmKMXfS87irRm8TKIO//N1+PSFLOyspbzTTIGDvYz7j5XMXRWff16zl+Hy3Hlt3qp4+rV3pEVdO5LT1Kzdnax/hjSAo72MLz/O/7u0b2RP+0b2XI3K4Yvlxfv8puw4koy5uYQPerhhay3l5p0cZix5aPAMaVcnucG1xPXbOSxY/Zje7Zzp1c6Z2AQlC1bF6J8hDVDBx5KZo/Pnq7/fRTdN4NfTaSz+KbbUcf+btKYm5gsGJNoXPWNIEITXWvshBT+26L9mz/KQ1y7eQbNKNx/u37byExeio6JedRhF5lehAsmzhr7qMIrM8ZNl9Jlc+jmH/5b1c8qyz8z4xt5/WVvldW5GlX4RwH9LQAUf7t66/qrDKDIf/yCGz0951WEUy3fjHF6revw61uFeE+696jCKbOO8cnQecfNVh1EsO5YEvOoQTHp4o/SPfSypsoFVCk/0HyB6pAVBEARBEARBEAQ98firwolZ5ML/vA8//BBbW1uTrw8//PBVhycIgiAIgiAIwmtG9EgL//M+//xzxo0bZ/K9l72QmCAIgiAIgiAI//tEQ1r4n+fm5obbk0VbBEEQBEEQBEF4MfH4q8KJIyQIgiAIgiAIgiAIxSB6pAVBEARBEARBEAQ9sdhY4USPtCAIgiAIgiAIgiAUg2hIC4IgCIIgCIIgCEIxiKHdgiAIgiAIgiAIgp5YbKxw4ggJgiAIgiAIgiAIQjGIHmlBEARBEARBEARBTyw2VjjRIy0IgiAIgiAIgiAIxSB6pAVBEARBEARBEAQ9MUe6cOIICYIgCIIgCIIgCEIxiIa0IAiCIAiCIAiCIBSDGNotCIIgCIIgCIIg6InFxgoneqQFQRAEQRAEQRAEoRgkWq1W+6qDEARBEARBEARBEP4boqKjX9m+K/j5vbJ9F4cY2i0I/8NaD7j4qkMosl/WVH3t4h0+P+VVh1Es341zYJ9Z0KsOo8jaKq+Tdu7gqw6jyOxrtuTktfRXHUaR1Q2x42bU3VcdRrEEVPB57erwAfuQVx1GkbVKu8adQR1fdRjF4rtyF7eibr/qMIrMv0L5164OX7oV+6rDKLIq/u60HXT5VYdRLPtWVn7VIQglJIZ2C4IgCIIgCIIgCEIxiB5pQRAEQRAEQRAEQU+rFYuNFUb0SAuCIAiCIAiCIAhCMYgeaUEQBEEQBEEQBEFPK/pbCyWOkCAIgiAIgiAIgiAUg+iRFgRBEARBEARBEPS0iDnShRE90oIgCIIgCIIgCIJQDKIhLQiCIAiCIAiCIAjFIIZ2C4IgCIIgCIIgCHpiaHfhRI+0IAiCIAiCIAiCIBSD6JEWBEEQBEEQBEEQ9ESPdOFEj7QgCIIgCIIgCIIgFINoSAuCIAiCIAiCIAhCMYih3YIgCIIgCIIgCIKeGNpdONEjXQpxcXEMGTKEcuXKYWFhgYeHBy1btuTUqVP6NCdPnqRNmzY4OjpiaWlJlSpVWLBgAWq1Wp/mzp07SCQSIiIijPbRqVMnBgwYoP9/48aNkUgkSCQSzM3NqVChApMnTyY3N9cg361bt3jvvffw8vLCwsKC8uXL06tXL86ePatP87Sc51+bNm0q1nEICgrC3Nychw8fGr33bLwWFhYEBgYye/Zs/ec/duyYwb5dXV1p3bo1Fy5cKNK+Cyv/qRYtWiCTyTh9+rTJcsLDw+nWrRvu7u5YWloSGBjI4MGDuXHjBmD6b5Senk7jxo0JDg7m/v37wIuP6YABAwp8/+kLilavXrY+ndz56ZsQdq6ozNxJfpTztCg0T7037Fk+K5DdP1Rm+axA6tawLzBt97au/LKmKkN6l/l/F2+DUHNmDLZj4UcKJva1pUJZ2QvT+3vJmNjXloUfKZgxyI761cwN3h/dw5bvxjkYvYa+Y1PqWJ3qv8EbO5bR9O5x2iqv496haeF5GrxJ/TPbaJV+kSbXj1Dug55GaTw6t6DhhX20yrhEwwv7cO/YrNSxPrX18HE6jp5Ovf5j6DdlHuGRUQWmPXf1Jm/2HmX0uvMw1iBdemYWc1dvodWwT6nXfwzdxs3iz/ArLy3mX/dvZfwHHRjcrS7Tx/TlxpXwAtPeuBrBrEnvM6JfUz7oXo/Jw7twcPd6o3RZGen8uHwuH73XksHd6jJlRFcunD3xUuLdt3c3A9/rR+eObRk9ahiXL18qUr6rV67QoV0rRo740GD7kcOHaNemhdErLy+v1LG+jnUYwHtQLxpePEzzuAjq/P4zjnVqvjB9ucG9qf/3XprHhtPg3H48e3U0eF8il1Nh4jAaXjhI87gI6v65A5dm9V9avHaNW1N2zgp8lm2lzNQFWARUfGF6m1qN8Jy2kHLfbcFr/mqc3xuF1MbOII3Uygan3kPwmr8an2Vb8fxiCVZVXnwcimrv3j28/15/OnVsz6hRI7h8+XKR8l29coX27dowYsQwg+2HDx+ibZtWRq//z3X4wN4dDHu/O706NWPCqEFcvVy067jIq5fo3r4J40a8b7D9/t3bfDXrU4a+152ubRuyd+eWlxovQO8ObqybH8T2pRWZM758ka4l6tawZ9nn/uxcVpFln/tTp7phPW7T2Ikl0/3ZujiErYtDmD/Zj5qVbV967MJ/g+iRLoUuXbqgVCpZu3Ytfn5+xMbGcvToUZKSkgDYsWMH3bt357333uO3337DwcGBI0eOMGHCBE6fPs2WLVv0jafiGDx4MJ9//jl5eXn8/fffvPfeewDMmTMHgLNnz9K0aVMqV67M8uXLCQ4OJj09nV27djF27Fh+//13fVmrV6+mVatWBuU7ODgUOZYTJ06Qk5NDt27dWLNmDZ988kmB8ebk5LB3715GjRqFTCZj4sSJ+jTXr1/H3t6ee/fuMWrUKFq1akVkZCQKhaLIx6Og8u/du8epU6cYMWIEYWFh1K5d2yD/3r176dKlCy1btmT9+vVUqFCBuLg4tm7dytSpU9m8ebPRPuPj42ndurX+GLi4uOjfK+iYtm7dmi+//FK/rUyZMibTFlavXrZubVx5p6ULC1be5+HjXHp1cGf2eD8GT75Odo7GZJ7gCtZMHurDuu2POXk+jbo17Jk8zIdxs29xPTrbIG1geStaN3Ym+l62ybL+l+OtEWRG1yZWbD6STdRDFfWrWTC8iy1frE4jOV1rlN5ZIWVYF1v+vJjHmv1ZVCgrp0czKzKytETcVALww65M5M/cArWxkjC5vx3h15WljldmY03axes8WLudmluXFJreyteLN/es4H7YViL6j8exbg0qL55GXnwSj3ccAsChdijVN3zDjWmLeLzrCB4dm1Fj40JONe5Nyl8XSxXvoVPn+Xrddia+341qgX5sP/ono+cuY8tXU/BwcSow388LPsXGylL/f0f7/IscpUrF8DlLcbK3Ze7o93FzciA2MRnrZ9KXxpkTh9iwagH9hkwiILgaxw5u5+svRjFr8VacXT2M0ltYWtK0TXe8fQOwsLDixrUI1i6bjYWFFY1bvgOASqnkq+nDsVc4MnzCXByd3UlKiMXSyrrU8f7x+zF+WPE9Q4eNpGLFSvzyyz6mf/YJS79fiZubW4H5MjMz+XrBPKqFViclJdnofWtra5avWGWwzdzc3Chdcb1udRjA453WhHw5iatjviD59Hm83+9BzW3LOfFWe3IexBil9x7Yk8BpH3N51Geknr+EomZVKn/7OcrkVOIPHAMgYOpoPHu05/Koz8i8EY1L0/pUX7+Y0817k37xWqnitX6zPk49B5K4fjm5t65h17Al7qM/4+FnI1AnJRilt/APwWXgaJI2ryL7wl/IHJxx7jcU5/4jiF+qu25BJsd9zAzU6anEfz8XVVIicicXNDmlPw//8fvv/LBiOcOGDSekYiUO/LKfaZ99yrLvVxRahxcsmE9oaCjJKSnGx8HamuUrVhps+/9ah//84yhrfljMoGFjCA6pzOEDu5k9bQLfLFuHq5t7gfkyMzNYvGAWVUJrkJpseJ7Izc3B3cOTOvWbsOaHxaWO8XldW7nQubkz36x+yMPHufRo58rMMb4M+eQm2bkFXEv4WTFpiDc/7ozlVHgadarbM2lIOSbMjeb6bV1dTUhWsmbbYx7F6W6qNKvrwNQR5Rj1eRT3HuWaLPe/SqsVPdKFEQ3pEkpJSeHEiRMcO3aMRo0aAeDj48Nbb70F6E7AgwcPpkOHDqxYsUKfb9CgQbi7u9OhQwe2bNlCjx49ir1va2trPDx0F1zlypVjw4YNHDp0iDlz5qDVahkwYAABAQEcP34cqTT/ijs0NJTRo0cblOXg4KAvqyTCwsLo3bs3jRo1Yvjw4UyZMsXo5sCz8Y4YMYJdu3axc+dOg4a0m5ubPpYFCxZQv359Tp8+TcuWLYt1PEyVv3r1atq1a8fQoUN56623WLhwITY2ut67rKws3nvvPdq0acOOHTv0ZZYvX55atWqRYuLH8/79+zRv3pwyZcqwe/du7OwM70YWdEwtLS2Nbgw8n7awevVP6NTChU174jh5Lg2ABT/cZ8O3FWlc24FfjpluvHdq4cL5K+ls2RcPwJZ98VQJtqVTC1fmfn9Pn87SQsr4IeVYtPoBvToUfMHyvxpv0zcsOHUpj5OXdD+o237LpqKvnAahFuw+nmOUvn41c5LTNGz7TfeDHJuURzl3GU3ftNA3pLNyDBvgNYPNyVPC+Rul7wmJP/gH8Qf/KHJ6nw96knMvhqtjZwOQERmNomYV/Ma8r7+AKz+yPwlHThI1T3cejJq3AqeGb+E7sj8R/caWKt4N+3+jY+PadGpSF4Cx73bh9MVIfj5yghE9OxSYz8neFjsb043M3cdOk5aRyarpHyOX60YPlHEtuFFeXId2radhs440at4JgN6DxnI54hS/HviZbv1GGKX38QvGxy9Y/38Xd0/Onf6NG1fD9Q3p40d3kZmeyidfrkIu1/2su7i9nNEfO3dso3mLVrRspbtx+MGQoZw/f5b9+/Yw4L2BBeZbsnghjRo3QSqVcvr0SaP3JRIJjk4v77g+9brVYQDfEf15sG47D9b9DEDkpDm4NK1HuYE9uTHjG6P0nj07cH/1Zh5v/wWA7DsPcHizGn4fD9I3pD17diB6/nISDumOxf2wTbg0rUf5kQO4OHiiUZnFoWjekfQTR8g4fhiApM1hWFaujl3j1qRs/9EovYVfEKqEONKP7gXQ/fv3gyhavaNPY1e/GVIbW2K+nAhPRpSpk+JLFedTO3Zsp0WLls/U4Q85d/4c+/ftZcB77xeYb8nib2ncuDFSqZRTp41HhEkkEpxEHQZgz44tvN2iLc1atgPgvQ9GEXHuLw7t30mfAUMKzLd8yXzqN26GVCrl71OGI2j8A0PwDwwBYP2a5aWO8XkdmzmzeV88J8/rriW+XvWQ9V8H06iWggN/GN/8A+jY3IXwqxls/UV3w2jrLwlUCbKhYzNn5v3wAIC/LqQb5Fm3I442jZ0I9rN+7RrSQuHE0O4SsrW1xdbWlp07dxoNqwY4dOgQiYmJjBs3zui99u3bExgYyMaNG0sdx4ULF/jzzz8xMzMDICIigitXrjB27FiDRvRTxeltLkx6ejpbt26lb9++NG/enMzMTI4dO1ZoPisrK5TKgnvPrKysAF6Ypqjla7VaVq9eTd++fQkODiYwMJAtW/KHBx08eJCEhAQmTJhgsqznj9f169epV68ewcHBHDhwwKgRXVqF1auXzcPVHCcHM85fzj/xK1VaLkVmUNG/4N6sEH9rzl/OMNh27lI6Ic/lGd7Pk78vpBFx1TDt/4d4ZVLwdpdx7Y7KYPu1Oyr8PE3fw/QrIzeZ3sddhomvMwB1qphzLjKPvNJ3SBebQ+1Q4o/8abAt/tBxFDUrI3nSoHOsHUrCEcMLpITDx3GsU71U+1aqVETevk+tqsEG22tVCebijdsvzNt3yjxaDfuUobOWcPbKDYP3/jh3mSoB5Zm7eistP/yEHhPmsHrnIdQa0z0UxaFSKrkTFUmlUMNRMZVCaxMVWbReobvRkdyKvEhQ5fwhr+F//UGF4Kr8tHwuo/u34NNR3dm7dRWa56a4FJdSqeTWrZtUr1HDYHv16jWJvHa1wHyHDx3kcUwMvfv0KzBNdnY27/XvS/9+vZkxbSpRUbdKFWtJvco6DCAxM8M+tBIJvxrGkPDrnzjUMl2+1Nwcda7hjTNNdg6KmlX0MUstzFHnGP6GaHJycaxdyqHSMjnmPhXIuRJhsDnnSgSWFYJNZsmNikTu6KIfpi21V2BTsy7ZF/OnmlmFvklu9HWcew/B++u1eM74FkWbriAp3WVqQXW4RvUaXLtWcM/84UOHiIl5RO8+fQtMk52dzYD+7/Juv75Mn/bZ/9s6rFQqib51g2rV3zTYXq3Gm1y/VvAQ+l8P7yc25hHdew8odQzF5eFipruWuJL/W69Sabl8PdPouuBZwX5WhD93fXD+SkaBeaQSaPimAktzKdeisl5O8MJ/imhIl5BcLmfNmjWsXbsWBwcH6tWrx5QpU7h4UXcx9HRubUhIiMn8wcHB+jTFtXTpUmxtbbGwsCA0NJT4+HjGjx8PwM2bN/XlF0WvXr30jbenr+jo6CLl3bRpEwEBAVSqVAmZTEbPnj0JCwsrML1Go+HAgQMcPHiQpk1Nz/lJTExkxowZ2NnZFbsX1lT5R44cISsrS9+z3bdvX4MYi3u83n33XSpUqMC2bduwsDA9l6Y0x7SwevWyOSp0P7LJaYaNt5Q0FY4KsxfmSzGRx0mR30BsVEtBBR8rVv/8+P9lvLZWEmRSCWlZhg2w9CwN9jamh0vZ2UhIfy59WpYGmUyCrZVxHh8PGWVdZfoe73+bhbsLubGGQznz4hKRmplh7uKoS+PhQm5sokGa3NhELDxcS7XvlPRM1BoNTgrDm1nOCjsSU9NN5nF2sGfKoJ7M/Wgg8z4aiE8ZN4bN/o7z1/IvgB/GJfDrXxFotBoWThjCwE4tWL//V1btPFiqeAHS01PQaNTYOxj2YikUTqQmGw+JfdaYgW0Y3LUOM8a9S9PW3fQ92gDxsQ85e/IoGo2aj6cuon23gRzYvZ49P68quMAiSEtLQ6PR4OjgaLDd0dGR5GTTPTYPHz5k7Zowxo2fhExmej0AL29vPh4zjqnTZjB+4mTMzM2YMO5jk+ts/NNeZR0GMHd2QCqXkxdnHIOFu4vJPAlHT+D1blfsQ3Xzku2rV6Jsv3eQmptj7uyoT+M7YgDWFXxAIsG5SV3c2rxd6phltvZIZDLUaSkG29VpKcgUjibz5EZFEr/ya1yHjMfn+22U+3odmqxMEjfmj9Yzc/HApmZdkEqJXfQ5qXu3Yt+iI4q23UoV79M67PBcHXZwdCQ52fQIpocPH7JmzSrGj59YYB329vbm4zFj+WzadCZMnIS5uTnjx439f1mH09NS0WjUKJ47xgoHJ1IKOMYxD++zfs1yRo+fikz27w+OfXotYeq6wNG+4HgcFXKSUw3zJKca5/Epa8HPS0LY+X0lhvfzZObSe9yPef16o7VIXtnrdSGGdpdCly5daNu2LcePH+fUqVMcOHCAefPmsXJl/pwZrdZ4HuTT7SWZHw3Qp08fPvnkE9LS0pg7dy729vZ06dLFYH9FLfubb76hWTPDBSe8vb2LlDcsLIy+ffPv1vbt25eGDRuSkpJi0JO7dOlSVq5cqV+Eo1+/fkybNs2gLC8vL0A3JD4gIICtW7e+cO7Ss15UflhYGD169NAPd+zVqxfjx4/n+vXrBAUFFfj3KUjHjh3ZsWMH27Zto3v37ibTlOaYwovr1bMLzz0rNzfXqAfbVEO/SR0HRvYvq///tG/uAGB0GCRQ2JF5Po/kmTwuTmYM6e3JJ/Nvo1QW7xi/zvGa3nHhsbzoPf032USeulXMeRiv5u7j0vU8loqpA/v8dpMH/+UcZ8lzP7jaF/wE+3q64+uZP1+vamB5YhOT+Wnfr9QI8X8SqhZHezumDOqJTColxK8c8cmp/LjvVwa/0/ofi5lCztmTZ/9ATnY20TcusfXHJbiV8aJ2w1b6mO0VjgwY9glSmQxf/xBSkuL5ZeePdOwx+CUE/Fy8Wq3JcNVqNfPnzaF3n3cp++ScbkpwcAjBwfk3mStWrMToUcPYu2cnQz4cXvp4i+sV12GTJJICf5+i5i3Dwt2F2kc3gURCXlwiD9fvxO/jQWifjEK4NmE2lRd/ToOz+9BqtWTfvs+D9Tvw6tP55cRXjONhVsYbp16DSdmzmewr55EpnHDqNgDnvkNJXLtEn1+dlkriuqWg1ZB3NwqZgyP2LTuTutd4nZLier6+FnQNplar+Wrel/Tp06+Ydbgio0aNYM+eXXz44bAC8/1j/gN12Oh4ak2f19RqNQu/+oLufd7Hs2zRr41Ko3EtBSP6eer/P/3bu7oQn09YgstyiYnrj4eP8xj5eRQ2VlLq1VQw5n0vJs67/Vo2poUXEw3pUrK0tKR58+Y0b96czz77jEGDBjFt2jQWLlwIwLVr16hbt65RvsjISCpW1N1NfjpvNjU11ShdSkoKPj4+BtsUCgX+/rqLvp9++olKlSoRFhbGwIEDCQwM1O83NDS00Pg9PDz0ZRXH1atXOXPmDH///bfBXGe1Ws3GjRsZOnSoftvThr+FhQWenp4m7/AeP34ce3t7XF1dsbcveDVlUwoqPykpiZ07d6JUKlm2bJlBjKtWrWLu3Ln64xUZGUmdOnUK3deUKVOoWrUqffr0QavVmpzjXtJj+qyC6lVBDek5c+YwY8YMg226mwnvGGw7HZ5G5DPDi8zkul8Np+fusjrYyUlJLXiscHKqSn9H9ymFXX4ZAb5WOCrMWDw9QP++TCahcqAN7Zu60GHQJTRF+P1+3eJ9Vka2FrVGi72NFMhv6NpZS0nPMl1YeubT9BikV6u1ZDw3N9pMrpsfvffPl7OIW0nkxiYY9WiYuzqhUSrJS0zRpXmcgIWHYc+ahZuTUQ9KcTnY2SCTSklMTTPYnpSaYdRL/SJVAnz55UT+EFNnB3vkMhmyZ8bS+5b1IDElDaVKhZm85D+bdnYOSKUyUlMMe4bSUpNRODi/MK+ru+6GkrevP6kpiezatELfkHZwdEEmkyN95txaxqs8qcmJqJRK5GYFj9Z4EXt7e6RSqVHPne5mqXHvY3Z2Njdv3iAq6hbfL9M1kLRaLVqtlg7tWvHFzDlUCzUeSiqVSgkICOLRK+jNe5V1GCAvMQWNSoW5m2H55q5O5MUlmsyjycnl8vBPuTJ6OuZuzuQ+jsf7ve6o0jLIS9SNFFAmJhPeeyRSC3PMnBzIjYkjcMZYsu6W7hirM9LQqtVGvc8yO4VRL/VTijZdyL11jbSDunVIlA/ukpibQ5lJX5Kycz3q1GTUqcm6mwDa/BE5ypgHyB2cQCYHtcpk2YXJr8OGIyhSX1iHbxIVFcWyZd8B+XW4fbs2zJw5m2omrq2kUimBAYE8evioRHGWxquuw3b2CqRSmVHvc2pqssljnJOdRdTNSG5H3SRs2UIAtFoNWq2W7u2bMHXmfKpUezmrtT91JiKd67fzn+jw9FrC0d74WuL5EW/PMnUt4WBvPOJNpdYS82SxsVt3cwj0taJjM2eW/Pjv14/SeJ16hl8VMbT7JatYsSKZmZm0aNECJycnFixYYJRm9+7d3Lx5k169egG6YXKurq78/fffBumys7O5cuUKQUFBBe7PzMyMKVOm8Omnn5KVlUVoaCgVK1ZkwYIFaEzM6TO1eFZJhIWF0bBhQy5cuEBERIT+NWHCBKPh3U8b/t7e3gUOkypfvjwVKlQodiP6ReWvX78eLy8voxgXLlzI2rVrUalUtGjRAhcXF+bNm2eybFPH69NPP+WLL76gT58+L2Wee1E8rVcFmTx5MqmpqQavyZMnG6XLztEQE5enf917lEtSipLqlfIbHnKZhCrBtly9VfB8nmu3sqhRyfBxDjUq23LtSZ6Iqxl8+Ml1hn92Q/+6EZ3Fb6dTGP7ZjSI3Sl+3eJ+l1sD9WDXBvoY/usG+cqIfmf6hjo5RGaUP8ZVzN1bN81/nmkHmyGXw99VXMDn6iZTTEbg0NbxR6Nq8PqnnLqNV6T5j8ukIXJrWM0jj0qw+yacKfuRTUZjJ5QSX9+bMpesG2/+6HEnVwPJFLuf6nQe4OOSfd6oF+vEgNsHg/HkvJg4XB/tSNaIB5GZm+FYI5krEGYPtVyPOUCG4atEL0hquIeEfXI3YmPsGMT9+dA8HR5cSN6JB9/vi7x9ARPh5g+0R4ecJDjF+3JG1tTVLli7n2yXL9K/Wbdri5eXFt0uWEVTAFBqtVsvt6CgcnV58M+Gf8CrrMIBWqSQt4goubxvG4NKkLilnXly+VqUi91EsaDSU6dKGuIPHjHoYNbl55MbEIZHLce/YnLh9R0sXsFpF3t0oLCtWM9hsWTGUnKhIk1kk5hbGPZ/6uqq7UM+5dQ0zNw+DHky5uyeqlKQSN6Ihvw6Hhxsey/DwcJNT76ytrflu6fcsXrJU/3pahxcvWfrCOhwdHfWPLD5WmFddh83MzPDzD+Ri+FmD7RfDzxIUUtkovZW1DV9/t4b5i8P0rxatO+LpVY75i8MICHrxo9RKIju3oGuJ/OsCuUxC5SAb/XWBKZHR2YRWNLyWqF7R9oV5AJDkN96F/y2iR7qEEhMT6datG++//z5Vq1bFzs6Os2fPMm/ePDp27IiNjQ3Lly+nZ8+efPDBB4wYMQJ7e3uOHj3K+PHj6dq1q8HQ4HHjxjF79mzc3d2pW7cuycnJzJ07F7lcbjB82pTevXszZcoUli5dyrhx41i9ejXNmjWjYcOGTJkyheDgYDIyMtizZw+HDh0yePxVSkoKjx8bzgm1s7PTr2ptilKp5Mcff+Tzzz+ncmXDk+SgQYOYN28eFy5coFq1agWU8O8ICwuja9euRjH6+PgwceJE9u3bR8eOHVm5ciXdunWjQ4cOjBo1Cn9/fxISEtiyZQv37t0z+VztSZN08//69euHRqOhT58++vdKckyfKqxeFcTCwqLAOduF2XkogR7t3XgUm8vD2Fx6tHMjN1fDsdMp+jRjB3uTmKxkzZP5w7sOJ/DV5Ap0a+OqfwRE9Yp2jJutm2uanaPh7kPDIUw5eRrSM1RG2/+X4z16Npf+bay591hN9CMV9aua42Qn5cQFXZkdGljiYCtl3S+6H+ETF/JoVN2Cdxpb8ufFPPw85dSpYs7qvcY/0nWqmHPhlpLMnJc3NE9mY42Nfzn9/63Le2FfLZi8pFRy7scQNHMMlmXdufCebhTK3RWb8BnWh5CvJnE/bAsOtavj/V4XwvvmrwJ7Z8k6av/6E37jBhO75yju7Zvi0rQOpxr3LnW8vds0YdrSH6no502VgPLs+PUkjxOS6dJU97zcJZt2E5+UyoxhukWvNvzyG54uzvh5eaBUq/nlxN/8+tcF5n6Uv/p0l+b12XLoDxas2073lg25/zieNbsO06NVw1LHC9CiYx9+WPgZvv4h+AdV5fdD20lMeEyTlrrpOVt/XEJKYhyDP/ocgKP7t+Ds4oGHly8AN69FcGDXjzRtmz8apkmrLhzdt5kNK+fTrG0PYmPus+/n1TRrV/ynQjyvU+cufL1gHv4BgYQEV+TAgX3Ex8fRpo1udd41q8NITExk7LgJSKVSfH0Nb2IoFA6YmZsbbN+w/keCgkMo61mWrKwsdu/eSXR0FB8OM161vLhetzqsK38tVVd8Ser5y6T8FYH3e92x9CrDvVW6Ic2B0z7GwtOdS0Mm6T6Tvy+KmlVIPXsRMwd7fEcMwLZiAJc+nKQvU/FGVSzLuJN26RqWZdzxnzwciUTK7UUFr2NSVKmHd+E68CPy7twiN/o6tg1bIndyIf3YAQAc3umH3MGZhFULAci+8DfO7w7HrnErsi+HI3NwxKnHIHKjb6BO1fViph87gH3Tdjj1HETar/swcyuDQ9tupD1Z6bs0Ond+hwULviIgIIDg4BAOHPjlSR1uC8Ca1aue1OHxT+qwr0F+B4XiSR3O375h/U8EBQfj+aQO79m9i+joaIb+P63D7Tt3Z/GCWfgFBBEUXInDB/aQEB9Hiza665b1a5aTmJjAqLGfIJVKKefrZ5Df3sEBczNzg+1KpZIH9+4AoFIpSUpM4HbUTSytrCjjWfCw+6LadSSR7m1ceRSby6PYPLq3dSU3T8PvZ/JHh455vyyJKSrWbo8FYPeRBOZO8KNrKxdOR6RRO9Se0BBbJszNXwfn3c7unLucTnySEitLKY3eUlAlyIbPFt4pdcz/NtEjXTjRkC4hW1tbatWqxTfffENUVBRKpRJvb28GDx7MlClTAOjatSu//fYbs2fPpmHDhmRnZ+Pv788nn3zCRx99ZDCfZNy4cdja2jJ//nyioqJwcHCgdu3a+iHPL2Jubs6IESOYN28eH374IW+99RZnz55l1qxZDB48mISEBMqUKUPdunX1Q86fevoM6mfNmTOHSZMmGW1/avfu3SQmJtK5s/Fcq4CAAKpUqUJYWBjffvvtC+P+J507d44LFy7www8/GL1nZ2dHixYtCAsLo2PHjnTs2JGTJ08yZ84cevfuTVpaGt7e3rz99tvMnDmzwH2MHz8emUxG//790Wg09Ounu1gvyTF9qij16mXbuj8ec3Mpw98ti62NjOtRWXwyP9rgmcxuzmYG8/Wu3criy2X3eLeLO/3ecScmLo85y+4aPZP5/3u8568rsbHKpnUdS+xtJMQkqFm6PYOkNF1sChspjvb5A4MSUzUs3ZZBlyZWNAy1IDVTw9Zfs/WPvtJ/Pkcp/l5yFm99OauhP6WoWZk6R/MfX1Nxvq7O3V+3nYsDJ2NRxhUr7/zHKmXfecDf7T+g4oLJ+AztQ+6jOK58PEv/yBWA5FPhhPcZQ9CMjwiaMYqsqPuE9/74pTy7tEWdGqRmZLJy+0ESUlKp4FWGhRM+1D+uKiEljceJ+UM6VSo1izbsJD4pFQtzM/y8PFg4fgj1qlfSp/FwdmTxpGF889N2ek/6EldHBT1bNeLdDs2M9l8Steq3IDMtld2bV5KanEDZchX4eOoi/eOqUpMSSIzPvxGn1Wj4+aclxMc+QiaT4erhRdd+I/WPvgJwdvVg7PQlbFz1NVM/6oWjkyvN2/WkzTv9Sx1vw0aNSU9PY9OG9SQlJeHj68P0GTNxc9fNNU9OTiI+Pq5YZWZmZrDk24UkJydjY2ONXwV/vpy3gKCgoi36+CKvWx0GeLz9F8ycHPCfOAwLD1fSr97kXNcPybmvGwZq4eGKlVd+zBKplPIjBmATUB6NUkXS8TOcadaL7Hv5w0alFhYETB2Fla836sws4g/9wcUPJqIqYCG+4sj6+wRJNnY4tO+BTOFE3qO7xC76XP+4KrnCEblz/jDijJO/IrG0wq5JWxy7vY8mO5OcyIsk/7xWn0adnEDs19Nw6jGQstMXoUpOJO3IHlJ/2V7qeBs2akRaehobN6wnKSkZH18fZsz4Ql+Hk0pQhzMyM1n87bf6OlyhQgXmzvvqhSMIi+p1rMP1GjYlPS2NnzeuJTkpkXI+5ZkyYy6ubrrHeyYnJZIQH1usMpOTEhg/Kv8m5+7tm9i9fRMVq4Ty+Zelv778+UAC5uZShvXx1F1LRGcz9es7Bs+QdnU2NxhMcS0qm7kr7tOvkzt9O7nxOD6PuSvu658hDbrh4mMHeuGkkJOZreHOgxw+W3iHiKsFjyoUXl8SbXFXWxIE4bXResA/s9r3P+GXNVVfu3iHz0951WEUy3fjHNhnVvoLvX9LW+V10s6VfrXsf4t9zZacvFb6hsq/pW6IHTej7r7qMIoloILPa1eHD9ibfnrHf1GrtGvcGVTw6Kf/It+Vu7gV9eJH3v2X+Fco/9rV4Uu3itcIfpWq+LvTdlDBj936L9q30ngI/H/Bq/y7V/F3LzzRf4CYIy0IgiAIgiAIgiDoabWSV/YqiaVLl1K+fHksLS2pWbMmx48fL1K+P//8E7lcXqRFmp8nGtKCSa1btzZ6FvLT1+zZs/+VGI4fP15gDLa2toUXIAiCIAiCIAjC/7TNmzfz0Ucf8cknnxAeHk6DBg1o3bo19+7de2G+1NRU3n33XZo2bVqi/Yo50oJJK1euJDvb9PzRf2tVyjfeeIOIiIh/ZV+CIAiCIAiCIOhoXqPFxr7++msGDhzIoEGDAFi4cCEHDx5k2bJlzJkzp8B8Q4YMoXfv3shkMnbu3Fns/YqGtGBS2bJlX3UIWFlZlfp5zIIgCIIgCIIgvD5yc3PJzTV8akpBT6jJy8vj3LlzRov6tmjRgpMnTxa4j9WrVxMVFcVPP/30wsWFX0QM7RYEQRAEQRAEQRD+E+bMmYNCoTB4FdSznJCQgFqtxt3dcIEyd3d3o8fRPnXz5k0mTZrE+vXrkctL3q8seqQFQRAEQRAEQRAEvVf5HOnJkyczZswYg22meqOf9exjhQG0Wq3RNgC1Wk3v3r2ZMWMGgYGBpYpTNKQFQRAEQRAEQRCE/4SChnGb4uLigkwmM+p9jouLM+qlBkhPT+fs2bOEh4czYsQIADQaDVqtFrlczqFDh3j77beLtG/RkBYEQRAEQRAEQRD0SvoYqn+bubk5NWvW5PDhw3Tu3Fm//fDhw3Ts2NEovb29PZcuXTLYtnTpUn799Vd+/vlnypcvX+R9i4a0IAiCIAiCIAiC8FoaM2YM/fr144033qBOnTqsWLGCe/fu8eGHHwK6oeIPHz5k3bp1SKVSKleubJDfzc0NS0tLo+2FEQ1pQRAEQRAEQRAEQe9VzpEurh49epCYmMjnn39OTEwMlStXZv/+/fj4+AAQExNT6DOlS0I0pAVBEARBEARBEITX1rBhwxg2bJjJ99asWfPCvNOnT2f69OnF3qd4/JUgCIIgCIIgCIIgFIPokRYEQRAEQRAEQRD0XpfFxl4l0SMtCIIgCIIgCIIgCMUgeqQFQRAEQRAEQRAEvddpsbFXRfRIC4IgCIIgCIIgCEIxiIa0IAiCIAiCIAiCIBSDRKvVal91EIIgCIIgCIIgCMJ/w1+Rqa9s328FK17ZvotDzJEWhP9hbQddftUhFNm+lZVpN/jqqw6jyPb+UJGPFme86jCKZeFIWw7Yh7zqMIqsVdo1sv7c9qrDKDLrel3Ye171qsMosnY15Ny9df1Vh1EsPv5Br10d3mcW9KrDKLK2yuvc6NXqVYdRLIEbD7xW9fh1rMMnrma+6jCKrH5Fm9fq2gd01z/C60k0pAVBEARBEARBEAQ9zasO4DUg5kgLgiAIgiAIgiAIQjGIHmlBEARBEARBEARBT6sVj78qjOiRFgRBEARBEARBEIRiEA1pQRAEQRAEQRAEQSgGMbRbEARBEARBEARB0NMihnYXRvRIC4IgCIIgCIIgCEIxiB5pQRAEQRAEQRAEQU8sNlY40SMtCIIgCIIgCIIgCMUgGtKCIAiCIAiCIAiCUAxiaLcgCIIgCIIgCIKgJxYbK5zokRYEQRAEQRAEQRCEYhA90oIgCIIgCIIgCIKeRvuqI/jvEz3SgiAIgiAIgiAIglAMoke6BAYMGMDatWsBkMlkeHp60rZtW2bPno2joyMAvr6+3L171yjvnDlzmDRpEnfu3KF8+fLIZDLu3r1L2bJl9WliYmLw9vZGrVZz+/ZtfH199e+tXbuW7777jitXriCVSqlevToTJkygXbt2RrEVRKvVFpiuZcuWHDhwoMjHYvbs2UydOpVZs2YxadIkg/fWrFnDe++9p/+/h4cHDRo0YO7cuZQvXx4wPE5WVlb4+fkxcuRIhgwZUui+i1I+wIYNG+jXrx+DBw/m+++/NyonLS2NuXPnsm3bNu7cuYODgwOVK1dm2LBhdO7cGYlEQuPGjQkNDWXhwoX6fIsWLWLChAmsXr2a3r17v/CYTpo0iSZNmrzw86xevZoBAwawfPlyli5dyq1btzAzM6N8+fL07NmTiRMnFnpMSqp3BzdaNXTE1lrG9dvZLFv/iHuPcl+Yp24Ne/p1cqOMqzkx8Xms2xHLqfB0/fttGjvRprET7s5mANx9lMvGPXGcu5xR+njbu9KyoQO21jJu3M5m2YbHRYjXjr4d3SjjakZMvJIfd8YZxNu6kSNtGjvq4733KJeNexNKHW+9KnLerm6OvY2Ex0kadhzPJfqRpsD0FTyldGpggYeTlNRMLb+ez+PkZZX+fakUmtc0480QMxQ2EuJSNOz5M4/Ie+pSxfmU96BelB/1PhYermRcu0XkpDkknzpXYPpyg3tT7oPeWJUrS86DGKLmL+fRxl369yVyOX5jP6Bs745YlHEn8+ZtbkxbQMKREy8l3i2/nmbtgeMkpKRToawb43q1pUZgeZNpz0ZGM3jeSqPt22d9RPkybgAoVWpW7T/G3j/DiUtOw8fDhdHdWlGvSuBLiRfgz0MbObZ3NWkp8Xh4+dPx3Un4Bdc0mTY68hz7Nn5N3KPb5OXm4OjqSZ2m3WjUpr9BuotnDnFg62ISYu/j4u5N6x6jqfJms5cS7+69+9m6fTtJScn4lCvH0A8GUaVypULzXbl6lbETp+Dr48P3Sxbpt4+bNIWLly4bpX/rjTeYOeOzUsf7OtVhp/pv4Dd2IIoalbH0dONsl2HE7j764jwN3qTi/EnYVgwg91EcUQtWcm/FJoM0Hp1bEDh9NNYVypEVdY/rn31D7K4jpY73KUXzdji164rMwYm8B3eJX/c92devFJjerl4TnNp3w8zDE01WFpkXzhK//gc0GfnnYIfWnXBo1g65iyvq9DQyzhwnYdNqtEplqeMVdfifPQ8D/PrLFg7uXEdKcgJlvf3oOXAcgRVrmEx782o4P//4LTEP7pCXl4OzaxkatXiHFh36GqTLykxn+09LOH/mNzIz0nB186T7e2OoWrP+S4n5dbv2+beJOdKFEw3pEmrVqhWrV69GpVJx9epV3n//fVJSUti4caM+zeeff87gwYMN8tnZ2Rn839PTk3Xr1jF58mT9trVr11K2bFnu3btnkHbcuHEsWbKEmTNn0qlTJ5RKJT/99BMdO3Zk0aJFjBgxgkWLFvHll1/q85QpU4bVq1fTqlWrAj/DsywsLIp1HFavXs2ECRNYtWqVUUMawN7enuvXr6PVaomMjGTIkCF06NCBiIgIZDIZkH+cMjIyWLNmDR9++CEODg706NGj0P0XpfxVq1YxYcIEli1bxtdff421tbU+f0pKCvXr1yc1NZWZM2fy5ptvIpfL+f3335kwYQJvv/02Dg4ORvudNm0aX331FTt27KBNmzb67QUdUxsbG2JiYvTbRo8eTVpamkFahUJBWFgYY8aM4dtvv6VRo0bk5uZy8eJFrl69WuixKKmurVzo3NyZb1Y/5OHjXHq0c2XmGF+GfHKT7FzTDb5gPysmDfHmx52xnApPo051eyYNKceEudFcv50NQEKykjXbHvMoLg+AZnUdmDqiHKM+jyr0h+pFurRyplNzJ75Z/YhHsXn0aOvCFx+X48NPo14Y78QPvPhpl67xXKe6HRM/8GLCvDvceBJvYrKStdvieBSvi7dpHQWfDvdm9BfRJY63eoCczg0s+PlYLrdj1NStbMaQ9lbMWZ9FSobxmCknewkfdLDi9BUlPx3KoXwZGV0bW5CRreVilK6h3La2OTWD5Gz+NZe4ZA3B5WS839aSRVuzeZhQcAO9KDzeaU3Il5O4OuYLkk+fx/v9HtTctpwTb7Un50GMUXrvgT0JnPYxl0d9Rur5SyhqVqXyt5+jTE4l/sAxAAKmjsazR3suj/qMzBvRuDStT/X1izndvDfpF6+VKt6Df13kq437mNyvA6H+Pmw79hcjvlnLtpkfUcbZocB8O2ePwcYq/1znaGej//fSHYfZdyqCqQM6U97DlZNXbjB2yU+smfIhwT6epYoXIPzUL+xa9yXvvD+V8kHVOXVkCz98OYQJ83fj6GJcvrmFNfVa9MazXBDmllbcjjzPz2EzMLewok7T7gDcuRHBj9+Oo1W3kVR+symX/z7KukVjGTH9R3z8q5Yq3mN/HOf7H1YyctiHVAoJYd+BA3wybQYrl32Hm5trgfkyMzOZt2Ah1UOrkZycYvDeZ59MRqXMvzmUlp7OhyNG0bB+vVLFCq9fHZbZWJN28ToP1m6n5tYlhaa38vXizT0ruB+2lYj+43GsW4PKi6eRF5/E4x2HAHCoHUr1Dd9wY9oiHu86gkfHZtTYuJBTjXuT8tfFUsULYFu7IW7vDiF21XfkXL+Colkbyk6ayZ1xH6BKjDdKbxlUCY9h44hft4KM86eRO7ngPnAkHh98xKOvvwB0DW2Xnu8Tu/xrsm9cw7xMWTyGjgUg/scVpYpX1OF/tg4D/HXiIJtWzafvB5PxD67G74e2sfCLkXzx7c84u5YxSm9uacXbbXrg5ROAhaUVN6+Gs+77WVhYWtGoRRcAVEolC6YPxU7hxNDx83B0diM5IRZLKxuj8kridbv2Ef6bxNDuErKwsMDDwwMvLy9atGhBjx49OHTokEEaOzs7PDw8DF42NoYngP79+xs1vNasWUP//oa9DadPn2bBggV89dVXjBs3Dn9/f0JCQpg1axYfffQRY8aM4f79+ygUCoP9ATg4OBhte/YzPPt62qNeFL///jvZ2dl8/vnnZGZm8scffxilkUgkeHh4UKZMGZo0acK0adO4fPkyt27dMjpO/v7+zJw5k4CAAHbu3FmkGAor/86dO5w8eZJJkyYRHBzMzz//bJB/ypQp3LlzhzNnztC/f38qVqxIYGAggwcPJiIiAltbW4P0Wq2WkSNHsmjRIg4dOmTQiIaCj6m5ubnBNisrK6O0VlZW7Nmzh+7duzNw4ED8/f2pVKkSvXr14osvvijS8SiJjs2c2bwvnpPn07j7KJevVz3EwlxKo1qKgvM0dyH8agZbf0ngweM8tv6SwIXIDDo2c9an+etCOmcvZfAoNo9HsXms2xFHTq6GYD/rAsstUrxNndi8P4FT4em6eFc/ehKvfYF5OjRzIvxqJlt/SXwSbyIXIjPp2MwpP96LGZy9nB/vjzvjycnVEORnVeJYG4eaceaqitNXVcQma9lxPI+UDC31q5iZTF+vshkp6bp0sclaTl9Vceaqirerm+vTvBEk58hZJdfuqklM0/LnZRXX76lpUt10mcXhO6I/D9Zt58G6n8m8EU3kpDnkPHxMuYE9Tab37NmB+6s383j7L2TfecDjbft58OM2/D4eZJAmesEKEg79QfadB9wP20TC0ROUHzmg1PH+dPAEnRrU5J2Gb+Ln6cb43u3wcFKw9bczL8znZG+Di8JO/5JJ838K954MZ2DbRjSoGoSXmxPdm9SmTuUAfjz4cnpu/ti3lreadKH2211xL1uBTv0n4+BchpOHN5tM71U+hBr12uLh7Y+Ta1lqNmhPUNV63I48n1/mLz8SWKUOTTsNxr2sH007DSagUi3+2L+u1PFu27GLVi2a0bplC8qV82boB4NxdXFhz/79L8y3cMlSmjRuSEhwkNF79nZ2ODk56l/nw8OxtLCgQYPSN0Jetzocf/APbkxbyOOdh4uU3ueDnuTci+Hq2NlkREZzf9XP3F+zHb8x7+vTlB/Zn4QjJ4mat4LM69FEzVtBwq+n8R3Z/wUlF51j23dI/e0gab8dIO/RfeLXLUeZGI9D83Ym01v5B6OMjyXl4C5U8bHkXL9C6tH9WPjlj/KwCggh58YV0k8eQ5UQS9al86SdPGaQpqREHf5n6zDAod3radC0Ew2bd8bT249eA8fj5OzOsQM/m0zv4xdMrQatKFuuAi5untRp3JbKoXW4cTVcn+bE0V1kpqcxYtICAkJCcXHzJKBidbzLv5zRQa/btY/w3yQa0i9BdHQ0Bw4cwMys+BeyHTp0IDk5mRMndBdpJ06cICkpifbt2xuk27hxI7a2tiaHPI8dOxalUsm2bdtK9gFKKCwsjF69emFmZkavXr0ICwsrNI+Vla5RonzBUC1LS8sXvl+c8letWkXbtm1RKBT07dvXIEaNRsOmTZvo06cPnp7GPUG2trbI5fmDNlQqFf369WPr1q38/vvv1K//coYWPcvDw4PTp0+bnBbwT/BwMcPJwYzzV/KHHKlUWi5fzyTEv+CTfrCfFeFXDYcpnb+SUWAeqQQavqnA0lzKtaisEsfr/iTe8CuZhvHeyCKkwovitTYdbwXTjWRdvPZYmkuILGG8Mil4uUmJvKcy2B55T4VvGZnJPL4eMpPpvd2kPG3ryWUSlGrD3mylSoufp+kyi0piZoZ9aCUSfv3TYHvCr3/iUKu6yTxSc3PUuXkG2zTZOShqVkHy5LsjtTBHnWN4F16Tk4tjbdNDmYtKqVJx7e4j6lQKMNheu5I/F269+PvTc/oSmn88hyFfreTva1FG5Zo/dy63MDMj/OadUsULoFLl8eD2VYKq1jXYHlS1LnduRBSpjAe3r3HnRjh+IW/ot929GUHg82VWq8fdm0UrsyBKpZKbt25Ro7rh379mjepcvRZZYL6Dh48QExNDv969irSfA4eO0KhhA6wsLUsV7+tWh0vCoXYo8UcMP1/8oeMoalbWx+tYO9RoyG7C4eM41jF9DIpFJseyfABZF88bbM66eB7LwBCTWbJvXEXu5IJN6Ju6IhQO2NaqT2b4X/lprl/BonwAlhV0jSQzNw9sQt80SFMSog7/83VYpVRyN+oalUJrG2yvGFqHW5EXilTG3ehIbl2/SFCl/Hgi/v6dCkFVWL/iSz4e0Iypo7qx7+cwNOrST2N63a59XhWtVvLKXq8LMbS7hPbu3YutrS1qtZqcnBwAvv76a4M0EydO5NNPPzXK17hxY/3/zczM6Nu3L6tWraJ+/fqsWrWKvn37GjXKb9y4QYUKFTA3N+d5np6eKBQKbty4UaLP8HzMU6dOLTRvWloa27Zt4+TJkwD07duXevXqsXjxYuztTfcMPnjwgK+++govLy8CA43vKKpUKn766ScuXbrE0KFDi/VZTJWv0WhYs2YNixcvBqBnz56MGTOGW7du4e/vT0JCAsnJyQQHBxep/B9++AGACxcuFJinNMcUdEPG33nnHXx9fQkMDKROnTq0adOGrl27IpW+/PtejgrdKSAlzbDxlpKmwtW54BtDjgo5yamGeZJTVTjaG55SfMpasGCyH+ZmUrJzNcxceo/7MSUf2vSieN0KiddUHlPxzp9UHnMzCdm5GmYtfcD9GMMLlKKysZIgk0pIzzJs9KZna7G3Nv0jYWctIT37ufRZWmQyCbaWEtKytETeU9E41Iyoh2oSU7UEeMuoXF5OaauHubMDUrmcvLgEg+15cYlYuLuYzJNw9ARe73Ylbu8R0iKuYl+9EmX7vYPU3BxzZ0dyY+NJOHoC3xEDSD55lqzoezg3roNbm7eRyErX8E9Oz0Kt0eCkMPy+OdvbkZh602QeF4UdU/t3JsTXkzylmn2nwhkyfxU/TBhEzSDdvOo6lQP46dAJagT54u3qxF/Xovg94hpqTemGzQNkpqWg0aixVTgbbLdVOJOemlBALp3Ph79NRloSGrWall2HUfvtrvr30lMSsHuuTDuFM2kpLy6zMGlpaWg0Ghyfm97i6KAwGur61MOHjwhbs5av532pn17zIpHXb3Dn7l3GjB5Zqljh9avDJWHh7kJurPHnk5qZYe7iSO7jeCw8XMiNTTRIkxubiIVHwcOYi0pmb49EJkOVmmywXZ2ajFzhZDJPzs1rPF4yjzKjJiMxM0cil5Nx9hRxa5bq06Sf+h2ZvQLv6QsACRK5nJTDe0jevaVU8Yo6/M/X4fR03XnN3sHwHKRwcOJySmIBuXTGDWpFemoyao2ajj2G0LB5Z/178bEPuXbpb2o3bM3oqd8S++g+61d8iVqtpkOPD0oV8+t27SP8d4mGdAk1adKEZcuWkZWVxcqVK7lx4wYjRxqeRMePH8+AAQMMtj27qNhTAwcOpE6dOsyePZutW7dy6tQpVCqVUboX0Wq1SCTFu4Pz9DM8y8nJ9A/h8zZs2ICfnx/VqlUDIDQ0FD8/PzZt2sQHH+Sf4FJTU7G1tUWr1ZKVlUWNGjXYvn27wQ2BpzcccnNzMTc3Z/z48UVabKyw8g8cOEBmZiatW7cGwMXFhRYtWrBq1Spmz56NVqtrsBT1uNWvX5+IiAg+/fRTNm3aZNBb/VRpjino5rSfOnWKy5cv8/vvv3Py5En69+/PypUrOXDgQIGN6dzcXHJzDU/Spua7N66lYES//N736d/qeu6MZuuW4GagRGJczsPHeYz8PAobKyn1aioY874XE+fdLvIPSuNa9gzvmx/vjMX3TMYrAbSFPKbBKI/JeHMZ9XkUNtYy6tWw5+P3PZn01Z0SN6ZNkZiI5UWBPq2eTzdv/yOXnk0tmdLXGi2QmKrlzDUltUJKP7TbJIlE/115XtS8ZVi4u1D76CaQSMiLS+Th+p34fTwI7ZNeg2sTZlN58ec0OLsPrVZL9u37PFi/A68+nU2WWezwnqusunOh6bS+ZVzxLZPfmKjmX47YpFTWHTyub0iP79WOL9bu4J0p3yCRSPBydaJDvRrs/vO86UJfQsxotRQY9BPDp60jLyeLuzcvsG/TNzi7l6NGvbYGpRoX+XLu6j9fjlZrtDsA1Go1c76az7t9euNl4rfOlAOHDuPr40Nw0MtbzM3If7wOF9vzn0V/ktC+OE1hJ8nSeEH55mXL4TZgKInbN5B58RxyBydc+wzCfeAoYld8A4BVSFWcOvXUzbu+FYm5uyeu/T/EqXMySTs2vITwRB3+t+twUa5LJ84KIzcni6jrl9j242LcynhTq4FuTR+tRoO9won+Qz9FKpPhW6EiKUnxHNy1rtgN6dft2ue/4p88ZfyvEA3pErKxscHf3x+Ab7/9liZNmjBjxgyDuawuLi76NC9SuXJlgoOD6dWrFyEhIVSuXJmIiAiDNIGBgZw4cYK8vDyjXulHjx6RlpZGQIDhEMfifIbiWrVqFVeuXDFoTGo0GsLCwgwa0nZ2dpw/fx6pVIq7u7vRHHHIv+FgbW1NmTJlinXx96LyV61aRVJSksHiYhqNhvDwcL744gtcXV1xdHTk2rWiLbRRpUoVFixYQLNmzejevTubN282GjlQmmP6rMqVK1O5cmWGDx/OiRMnaNCgAb///nuBK3/PmTOHGTNmGGybNm0a0NVg25mIdK7fzh/KaibXHWtHe8O7rA52cpLTCr6Zk5yq0t/R1eexN+71Vam1xDxZcOPW3RwCfa3o2MyZJT8+KrBsw3gzuB79TLxmUpPxKkzs2yje5+4YK+xMxQsx8UpAya27OQT4WtKhqTPf/WS8wEthMrO1qDVa7J7rfba1Mu6lfio9y3R6tVpLZo4uT2YOhO3LQS4DG0sJqZla2tc1JzGtdD2meYkpaFQqzN0Mez3MXZ3IizPdq6DJyeXy8E+5Mno65m7O5D6Ox/u97qjSMshL1PVYKROTCe89EqmFOWZODuTGxBE4YyxZdx+WKl5HO2tkUimJqekG25PSM3Cyty0gl7Eqft7sPx2h/7+TvS3fjOxHrlJJakYWrg72fPvzQTxdir5+REFs7B2QSmVGvc8ZaUnY2TsXkEvH2c0LgDLlAklPTeTQtqX6hrSdg4uJMhONeqmLy97eHqlUSlKyYe9jSmqqUQ8fQHZ2Njdu3uJWVDRLli0HdBfTWq2WVu07MWfmDKo/ufkKkJOTy7E/jtO/b+9SxfnU61aHSyI3NsGoZ9nc1QmNUkleYoouzeMELDwMj4GFm5NRT3ZJqNPS0KrVyBWG3weZvQOqtGSTeZw69iD7+lWS9+rmy+bdu01sbg7lpi8gYcta1ClJOHd/l7Tjv5L2m+6pIXn37yCxtMR90CiSdm4s8RW9qMP/fB22s9Od19Ke631OS03GvoBRCk+5uutuVnj5BJCWmsSuTcv1DWmFowsyuRzpM73mnl7lSU1OQKVUIi/GdMrX7dpHeH2IOdIvybRp05g/fz6PHpXsS/L+++9z7Ngx3n//fZPv9+zZk4yMDJYvX2703vz58zEzM6NLly4l2ndxXbp0ibNnz3Ls2DEiIiL0rz/++IO///6by5fzHwkhlUrx9/fHz8/PZCMa8m84eHp6FrsHpaDyExMT2bVrF5s2bTKIMSIigoyMDH755RekUik9evRg/fr1Jv9umZmZRiMDQkND+fXXXzlx4gTdunUr8Vzu4qhYsaI+noJMnjyZ1NRUg9ezK8E/lZ2rISYuT/+69yiXpBQl1SvlNzzkMgmVg2y4dqvg+TyR0dmEVjRsrFSvaPvCPABI8n/AiiI7V0NMvFL/0sdbMf9vLZdB5UDrF84/iozOMsijjzcq+8XhSiSYmZWsV0+tgQdxGoK8DX90g8rJuRNjeo7XncdqgsoZpg8uJ+d+nIbnRxar1JCaqUUqhaoV5Fy+Xbp5Y1qlkrSIK7i8bTjX1qVJXVLOhBeQ60lelYrcR7Gg0VCmSxviDh4zuvDV5OaRGxOHRC7HvWNz4va9+BE/hTGTywnx8eT01VsG209fuUU1f58ilxN57xEuCjuj7RZmZrg5KlCpNRw9d5nG1U3P/ywOudwcr/IVuXHxpMH2G5dO4hsYWoyStKiU+aMkfAJCuXHplGGZF0/iE1CcMo2ZmZkR4O/P+fAIg+3nwyOoGGI8vcXa2prl3y1m2eJF+lfb1q3w8irLssWLCA4yXLTpj+MnUCqVNG3SuFRxPvW61eGSSDkdgUtTw8/n2rw+qecuo33ye5V8OgKXpoaLXrk0q0/yqRcfgyJRq8i5fRPrqobzda2rVCfnhumb0hJzC9A+dwJ7ekJ7cnqVFpRGIqFE3YRPiDr8z9dhuZkZPhVCuHLBcJHHqxdO4x9crYBcpj6A4XnNP6QacTH30Tzz4/f40V0Uji7FakTD63ftI7w+RI/0S9K4cWMqVarE7NmzWbJE9wiL9PR0Hj9+bJDO2tra5BziwYMH061bN5OPWgKoU6cOo0ePZvz48eTl5Rk8/mrRokUsXLgQb2/vYsWcm5trFJ9cLsfFxfQ8nKfCwsJ46623aNiwock4w8LC+Oabb4oVy8v2448/4uzsTLdu3YyGQ7dr146wsDDatWvH7NmzOXbsGLVq1WLWrFm88cYbmJmZcfz4cebMmcPff/9t9DepWrUqv/32G2+//TZdu3Zl69at+lECJT2mTw0dOhRPT0/efvttvLy8iImJYebMmbi6ulKnTp0C81lYWBT70WVP7TqSSPc2rjyKzeVRbB7d27qSm6fh9zOp+jRj3i9LYoqKtdtjAdh9JIG5E/zo2sqF0xFp1A61JzTElglzo/V53u3szrnL6cQnKbGylNLoLQVVgmz4bOGdEsWpj/doEt3auPAoTrciZrc2Lk/iTXsmXk8Sk1Ws3RGni/doEnPH+9KllTNnItKpFWpHaIgNE+blx/JuZzfOXc7Qx9vwTXsqB1kzbeG950MosmMRSvo0t+B+nJo7j9XUqWSGo62EPy/rbsC0q2OOwlbC+sO64V5/XlZSv6oZneqbc+qKEl8PGbUqyll3MEdfpo+7FIWthIfxGhS2Elq9ZY5EAr+eK/3w8ztL1lJ1xZeknr9Myl8ReL/XHUuvMtxbpVtROnDax1h4unNpiO5Rd9b+vihqViH17EXMHOzxHTEA24oBXPow/1F4ijeqYlnGnbRL17As447/5OFIJFJuLyp8ccLC9G1Zn09/2EpF37JUrVCO7b//zeOkVLo2fguAb38+SFxyGjMHdwNg/aE/8XRxxK+sGyqVmn2nIjh67grzh+f3Jl2Kuk9cSipB3p7EpaSyfNdRNBotA1obn+9KomHb/mz8bhJefpXxDazG6aNbSU6IoU4z3eP+9m38htTkOHoPmwPAiUMbcHQug5unHwC3r5/n2N411G+ZH3OD1n1ZOqM/v+5eSaWab3Pl3K/cuHyaEdN/LHW8XTp3ZN6CbwgM8KdicDD7DhwkLj6edm10U2bC1qwlMTGJCWM/RiqVUt7X8CaGg4MCczNzo+0ABw4fpm6d2gWuq1ESr1sdltlYY+NfTv9/6/Je2FcLJi8plZz7MQTNHINlWXcuvDcRgLsrNuEzrA8hX03iftgWHGpXx/u9LoT3HfvMMVhH7V9/wm/cYGL3HMW9fVNcmtbhVOOX02uavG87ZYaPJyf6Jjk3rqFo2hozFzdSjuwDwKXne8gdnXm8bD4AmefP4D54NIpmbcm6eA6ZgxNu735I9q1I1MlJ+jQObTqTeyeK7FuRmHt44tztXTLPnTZuYBeTqMP/bB0GaNGhDysXTcW3QggVgqryx+HtJCU8plFLXQfPth8Xk5wUx6DRulGbv+7fjJOrB2XK6qbU3LwWzsFdP/J2m/zHnjZp1Y2j+zazMewrmrbpSWzMPfZvW0XTtqZXLy+u1+3a51XQiOdIF0o0pF+iMWPG8N577zFxou4H77PPPuOzzz4zSDNkyBC+//57o7xFaWwtXLiQqlWrsmzZMqZOnYpEIqFGjRrs3LnTaJXvojhw4ABlyhg+3y8oKIjIyIJXsszLy+Onn37Sf8bndenShTlz5jB37txix/MyrVq1is6dO5ucU9ylSxd69OhBbGws7u7unD59mi+//JKZM2dy9+5dHB0dqVKlCl999RUKhenHIFSqVInffvuNpk2b0qVLF/2K6SU5ps9q1qwZq1atYtmyZSQmJuLi4kKdOnU4evQozs6lG6ZZkJ8PJGBuLmVYH09sbWRcj85m6td3DJ6j6OpsbnBj+1pUNnNX3KdfJ3f6dnLjcXwec1fc1z9HEXRDpsYO9MJJISczW8OdBzl8tvAOEVcL7lkvim0HErEwkzK0t4c+3s++uWcYr5MZmmfijYzKZt6KB/Tt5Ebfjk/jfaB/hjSAg72MMe97GsQ7beE9Iq6VPN7wmyqsLaHlW+bY20iISdSwfE82yem64OxtJDja5tfRpDQtK3Zn06mBBfWrmpGaoWX7H7n6Z0iDrge+TW0LnO0l5Crh2l0VPx3OJvslTON+vP0XzJwc8J84DAsPV9Kv3uRc1w/Jua8bsWHh4YqVV379lkillB8xAJuA8miUKpKOn+FMs15k38sf4SG1sCBg6iisfL1RZ2YRf+gPLn4wEdVzQ7JLouVbVUnNyGLF7l9JSE3Hv6w7iz/qrx+GnZCazuOkFH16pVrNN1v2E5echoW5GRU83fj2o/40qJrfy5SrUvLd9sM8jE/G2tKcelWC+GJQd+ysS/4YtGdVr9OarPQUDm9fRlpKPGW8Axg08XucXHXz99JS4klJyJ9KoNVo2b9pIUnxD5FKZTi7e9O218fUfvIMaYDygdXpO+orftmymANbFuPsXo5+o+aX+hnSAI0bNiAtLZ31GzeTlJSEj48PM2d8hrubGwBJScnExRs/O7gwDx4+5PKVq8yZOaPwxMXwutVhRc3K1Dmaf8Oj4vwpANxft52LAydjUcYVK+/8eLPvPODv9h9QccFkfIb2IfdRHFc+nqV/hjRA8qlwwvuMIWjGRwTNGEVW1H3Ce3/8Up4hDZBx+g/i7OxxfqcPMgdH8u7f5eHcqagSdDcuZQ5OyF3c9OnT/jiM1MoKh5YdcO07GE1WJllXLpCwIb8Rl7hjA1q0OHfvj9zJGXVaKpnnz5CweU2p4xV1+J+twwBv1W9JRnoqe7b8QGpyAmXLVWD0p9/i4qY7r6UkJ5AUn9/JoNVq2fbjEhLiHiKTyXH18KJLv5H6Z0gDOLl4MGbad2xevYBpH/fA0cmNZu160brzgJcS8+t27SP8N0m0Ba1eIAjCa6/toMuFJ/qP2LeyMu0GX33VYRTZ3h8q8tHijMIT/ocsHGnLAfvSD1H+t7RKu0bWn//uY/1Kw7peF/aeL95Cka9Suxpy7t66/qrDKBYf/6DXrg7vMzN+DvF/VVvldW70avWqwyiWwI0HXqt6/DrW4ROvUSOwfkWb1+raB3TXP/9FRy6+usXRmlUt2SjLf5uYIy0IgiAIgiAIgiAIxSAa0oKR9evXY2tra/JVqVKlfy2OSpUqFRjH+vXr/7U4BEEQBEEQBOH/E6321b1eF2KOtGCkQ4cO1KpVy+R7zz/u6Z+0f//+AlfFdnd3/9fiEARBEARBEARBeJZoSAtG7OzssLMzfhzMv83Hp+iPsBEEQRAEQRAEQfi3iIa0IAiCIAiCIAiCoKcVj78qlJgjLQiCIAiCIAiCIAjFIHqkBUEQBEEQBEEQBD3Na7To16sieqQFQRAEQRAEQRAEoRhEQ1oQBEEQBEEQBEEQikEM7RYEQRAEQRAEQRD0tFqx2FhhRI+0IAiCIAiCIAiCIBSD6JEWBEEQBEEQBEEQ9LRisbFCiR5pQRAEQRAEQRAEQSgG0SMtCIIgCIIgCIIg6GkQc6QLI3qkBUEQBEEQBEEQBKEYRENaEARBEARBEARBEIpBDO0WBEEQBEEQBEEQ9MRiY4WTaLXiMAmCIAiCIAiCIAg6e86pXtm+29d8Pfp6X48oBUEokU7DbrzqEIps59LA1y7esUszX3UYxbJgmA3RA9q96jCKzG/NXn4JV77qMIqsdXUz5m3TvOowimxCFynD56e86jCK5btxDtwZ1PFVh1Fkvit3caNXq1cdRpEFbjzAPrOgVx1GsbRVXn+t6vHrWIe/P/iqoyi6D1tC6wEXX3UYxfLLmqqvOgSTtFqx2FhhxBxpQRAEQRAEQRAEQSgG0ZAWBEEQBEEQBEEQhGIQQ7sFQRAEQRAEQRAEPY1YRatQokdaEARBEARBEARBEIpB9EgLgiAIgiAIgiAIeuK5ToUTPdKCIAiCIAiCIAiCUAyiIS0IgiAIgiAIgiAIxSCGdguCIAiCIAiCIAh6WsRzpAsjeqQFQRAEQRAEQRAEoRhEj7QgCIIgCIIgCIKgJx5/VTjRIy0IgiAIgiAIgiAIxSB6pAVBEARBEARBEAQ98firwokeaUEQBEEQBEEQBEEoBtGQFgRBEARBEARBEIRiEEO7/yPi4uKYOnUqv/zyC7GxsTg6OlKtWjWmT59OnTp1ADh58iQzZ87k1KlTZGdnExAQwIABA/joo4+QyWQA3Llzh/LlyxMeHk5oaKjBPjp16oSDgwNr1qwBoHHjxvz+++8AmJmZ4e3tTffu3Zk+fToWFhb6fLdu3WLWrFkcPnyY+Ph4PD09qV27NmPHjuWNN94AQCIxvUT+xo0b6dmzZ5GPQ1BQELdv3+b27duULVvW4L1n4zU3N8fHx4cBAwYwceJEZDIZx44do0mTJvr0Li4uvPHGG3z55ZdUq1at0H0/W75EIsHV1ZWGDRsyf/58bGxsqFy5MqNGjWLKlCkG+bp3787t27eJiYnh4cOHBZbfqFEjjh07hq+vL3fv3jV6f86cOUyaNAmAbdu2MW/ePCIjI9FoNJQrV45WrVqxYMGCQj9HSfRs60yLegpsrKXcvJPD8s1x3I/Je2GeOqG29G7vjIeLGY8TlPy0O5EzFzL071f0t6Jzc0cqeFvi5CBnzvKHnLmQ+f8u3rqV5DSuboa9tYTHSRp2/ZnH7RiNybR21hI61DXHy1WKi4OEExdV7PrT+HNV8ZPR6i1zXBQSElK1/HImj8u31aWOFcD+7TYoWr+DzMEJ5cN7JG74gZwbVwpMb1unMYrWXTBzL4MmO4vsS+dI3LQKTWY6AGUmzcEquIpRvqwLf/P4mxmljvfEoU38umc1aSnxeHj50/ndiVQIqWkybXTkefZs+JrYR7dR5ubg6OpJ3abdaNz2XX2amPu3+GXrEu5HXyU54RGd3p1I4zb9Sh3ns66e3sCl46vITo/Hwc2f2m0n41H+DZNps9LiOLN/HomPrpCaeJdKdfpSu53hOWjfD+/y+PbfRnm9ghrSsv/yUsfbINScZm9aoLCREpOg5uffsol6WHB98/eS0aWxFWVcZKRmaDj8dy4nLuTX49E9bAn0Nr78uBytZNn20n/n7Bq3xr5lZ+QOjuQ9ukfSpjByb14tML1NrUYoWnVG7uaJJjuT7CvhJG9Zra/DAFIrGxw698W6Rm1kNrYoE2JJ3rKa7EvnSh0vgKJ5O5zadUXm4ETeg7vEr/ue7OsFf+/s6jXBqX03zDw80WRlkXnhLPHrf0CTkR+zQ+tOODRrh9zFFXV6GhlnjpOwaTVapbLEcTrVfwO/sQNR1KiMpacbZ7sMI3b30RfnafAmFedPwrZiALmP4ohasJJ7KzYZpPHo3ILA6aOxrlCOrKh7XP/sG2J3HSlxnM972XUYoEkNCxqEmuNoJyUzW0v4jTx2Hc9B9RJOxa9jHb5wfD1nj4aRmRaPs0cAjbpMwauC6fPazQuHuHhiI/EPrqFW5eFcJoDarUfgG9JAn+bSyS1c/WsniTE3AXDzrkT99mPw8Kn6UuIF6NPJndaNnLC1kXE9Oovv1j3k3qPcF+ap94Y973b2oIybOTFxeazd9piT59NMpu3e1pX3upVh56F4lm+IeWlx/1vE0O7CiR7p/4guXbpw4cIF1q5dy40bN9i9ezeNGzcmKSkJgB07dtCoUSO8vLz47bffiIyMZPTo0cyaNYuePXuiLWFtHzx4MDExMdy6dYt58+bx3XffMX36dP37Z8+epWbNmty4cYPly5dz9epVduzYQXBwMGPHjjUoa/Xq1cTExBi8OnXqVORYTpw4QU5ODt26ddM39guK9/r164waNYpPP/2U+fPnG6S5fv06MTEx7Nu3j+TkZFq1akVqamqxjsfDhw/ZtWsX9+/fp2/fvri4uLBixQpmzJjBpUuX9Ol//vln9uzZw7p16wgPD9d/7m3bthnEEhMTw/bt2/X5Pv/8c6NjNXLkSACOHDlCz5496dq1K3/99Rfnzp1j1qxZ5OW9uKFYUp2bO9LhbQdWbIlj/Nx7JKepmDHSC0uLgp8fGFTeknEDy3DsrzQ+mn2XY3+lMX5QGQJ8LfVpLM0l3H6Qy4otcf9v4w31l9GxvjlHzyn5ems2t2M0DG5niYOt6VjlMsjI0XLkvJKYBNONbR93Kf1aWHDuhooFm7M5d0PFuy0sKOdW+tO5zVsNcO49mJQ9W3j42ShyblzBY8x0ZE6uJtNbBFTEdfDHpP9xiAefDCf2uy+xKB+I6/uj9GliF8/i7ui++tf9KcPQqtVk/H2i1PGeP/kLO9Z+SfPOgxn35Vb8gmuw/MsPSU4wfcFibmFF/Za9GTltLZMW7KZF5w/Yv2UxJ49s1adR5mXj7OZF+94fYe/gUuoYnxd9cT9n9n1JaOMhdBqxHQ/fmhxcO4SMlEcm06vVSixtnKjWeAhOHsEm0zTr8y29Jv+hf70zejcSqYzylVuVOt4aQWZ0bWLFwdO5zFmXzq2HaoZ3scXRznQddlZIGdbFllsP1cxZl87BM7l0e9uK0AAzfZofdmUyeWmq/jVzdRpqjZbw6yVv4D1l/WZ9nHoOJHX/Vh59/jG5N67iPvozZE6m/5YW/iG4DBxN+okjPJo2gvjv52Hh649z/xH5iWRy3MfMQO7iRvz3c3nwyTAS136HKjmx1PEC2NZuiNu7Q0jcuYl7k4eTff0yZSfNRO5s+ntnGVQJj2HjSP3tIHfGD+HRollYVgjE44OP9Gns6jXBpef7JG77iTtjPyB2+TfY1WmES8/3ShWrzMaatIvXuTL68yKlt/L14s09K0g6cY4Tb3bi1tzvqfTNJ3h0bqFP41A7lOobvuHh+l0cr9mRh+t3UWPjQhzeejkNpn+iDr8ZYkbHhpbsP5nDF6vT+elgFjWCzenYwNJkmcXxOtbh6+f3c2z7HN5qMZQ+E3ZStkJNdi4bTFqS6fPaw1t/Uy6oLp0+XEHv8dvxCqjFrhVDibuff7Pgwc0zBNdsS9eR6+g5ZhP2jmXYvvR9MlJiX0rM3dq48k5LF5b+9JDRM26SnKpi9ng/rCwL/i0NrmDN5KE+HD2ZzLDPbnL0ZDKTh/kQ5GdllDawvBWtGzsTfS/7pcQr/DeJHun/gJSUFE6cOMGxY8do1KgRAD4+Prz11lsAZGZmMnjwYDp06MCKFSv0+QYNGoS7uzsdOnRgy5Yt9OjRo9j7tra2xsPDA4By5cqxYcMGDh06xJw5c9BqtQwYMICAgACOHz+OVJp/cgkNDWX06NEGZTk4OOjLKomwsDB69+5No0aNGD58OFOmTDHq6X423hEjRrBr1y527tzJxIkT9Wnc3Nz0sSxYsID69etz+vRpWrZsWazjUaZMGYYPH86HH34IQIcOHejduzfvvvsuf/31FykpKQwbNow5c+YQEhJiUI6Tk5NBLM+zs7Mr8Fjt3buX+vXrM378eP22wMDAYt2UKI72bzuy9UASpyN0vbOL1sWy9ks/Gr5pz6ETpm9AtH/bkYjILLYdTAZg28FkKvlb076JA1+vfgzA+atZnL+a9f863obVzPjrmooz11QA7Pozj6ByMupWlrP/tHGjITldy64TuhsmbwWbPj03rGbGjftqfj2vy//reSUVPKU0rGbGT4dffCe9MIqWnUj/4zDpfxwCIHHDD1hVroH9221I/nmtUXrLCkGoEuJIO7IHAFVCLGnHfsGhdRd9Gk1mhkEem1oN0eblkvlX6RvSx/ato1aTd6jzdlcA3uk/icgLf3Li8Cba9/rYKL1X+RC8yud/V53dynLxryNER56jbrNuAJSrUIVyFXQ96Hs2LCx1jM+7fGItgTXfIehN3f5qt5vCg5t/cu3MJt5sOcYovZ1jWeq01/VA3zi33eh9AAtrB4P/R1/cj9zMkvJVCj/nFabpGxacupTHyUu6erntt2wq+sppEGrB7uM5RunrVzMnOU3Dtt90F4+xSXmUc5fR9E0LIm7q6mxWjuGN35rB5uQp4fyN0t8sVDTvSPqJI2QcPwxA0uYwLCtXx65xa1K2/2iU3sJPV4fTj+4F0P3794MoWr2jT2NXvxlSG1tivpwIal13ozopvtSxPuXY9h1SfztI2m8HAIhftxzrqjVxaN6OhE2rjdJb+QejjI8l5eAuXczxsaQe3Y9j+275aQJCyLlxhfSTx558rljSTh7DskJQqWKNP/gH8Qf/KHJ6nw96knMvhqtjZwOQERmNomYV/Ma8z+MduvNM+ZH9SThykqh5uuubqHkrcGr4Fr4j+xPRb2yBZRfVP1GHy3vKiX6o4myk7v9JaRrORebh41H6y+rXsQ6f/201lWt3oUpdXR1s3OUT7kae4OKJjdTvYPw3bNzlE4P/128/hqhLR4m+/Ctu3hUBaN3fcARes14zuRlxkHs3TlHxrU6ljrlTCxc27Ynj5Dldb/KCH+6z4duKNK7twC/HkgrMc/5KOlv26Y7dln3xVAm2pVMLV+Z+f0+fztJCyvgh5Vi0+gG9OriVOtZXRaMtuINC0BE90v8Btra22NrasnPnTnJzjS+EDx06RGJiIuPGjTN6r3379gQGBrJx48ZSx3HhwgX+/PNPzMx0d10jIiK4cuUKY8eONWhEP2WqgVhS6enpbN26lb59+9K8eXMyMzM5duxYofmsrKxQvmCYmpWV7i7hi9IUJCkpia1bt1KrVi39tkWLFpGUlMQXX3zBsGHDqFy5stENhdLy8PDgypUrXL58+aWWa4q7sxlOCjkR1/IbkCqVlss3swn2K/jOelB5SyKuGQ7BDL+WSbCJu7Iv0+sUr0wKXq5Srt83HOd3/b4aX3dZicv1cZdy4/ky76nx8Sjl6Vwmx8LXn6zL4Qabsy+HY+lvuic059Y15I4uWFXVDd+T2Ttg80Y9si6eLXA39g1akHHmD7R5pWv0q1RKHty+SnDVugbbg6vW5c6NC0Uq48Hta9y+EUGFiqaHH75salUeCY+uUDagnsH2sv71iLsbXkCu4rtxdht+VdtgZm5dqnJkUvB2l3Htjspg+7U7Kvw8TTcY/MrITab3cZdh4mcEgDpVzDkXmUdeaTukZXLMfSqQcyXCYHPOlQgsK5iuw7lRkbo6XEU3HUBqr8CmZl2yn6nDVqFvkht9HefeQ/D+ei2eM75F0aYrSF7CJZRMjmX5ALIunjfYnHXxPJaBISazZN+4itzJBZvQN3VFKBywrVWfzPC/8tNcv4JF+QAsKwQCYObmgU3omwZp/g0OtUOJP/Knwbb4Q8dR1KyMRK6rQ461Q0k4YnhjLeHwcRzrVC/1/v+pOhz1QIW3uxwfD9253FkhpVJ5My5Hl7ISv4Z1WK3KI/b+FXyC6xtsLxdcj0e3i3Ze02o0KHMzsbRxKDCNKi8btUaFpbWiNOEC4OFqjpODGecv5w99V6q0XIrMoKJ/wefNEH9rzl82vDl87lI6Ic/lGd7Pk78vpBFx1TCt8L9H9Ej/B8jlctasWcPgwYP5/vvvqVGjBo0aNaJnz55UrVqVGzduABj1ej4VHBysT1NcS5cuZeXKlSiVSvLy8pBKpXz33XcA3Lx5U19+UfTq1Us/V/upixcv4ufnV2jeTZs2ERAQQKVKlQDo2bMnYWFhBnOen6XRaDh06BAHDx7ko48+MpkmMTGRGTNmYGdnp+/dL8zT46HVasnKyiIwMJCDBw/q37e3t2f16tW0aNECGxsbLl68WOD88BeZOHEin376qcG2vXv30rhxY0aOHMnx48epUqUKPj4+1K5dmxYtWtCnTx+Duesvg4NC9/dKSTe8aEhNV+HqZGYqiy6fvZzUNMPGXGqaGkf7kjcQi+J1itfGUoJMKiEj27D3LSNLi513ye/y2llLSH+uzPRsLfbWpbtzLLOzRyKToU5LNtiuTktGpqhhMk/urUjils/HfegEJGbmSORyMs+fJuGn702mtygfiLm3L/Grvi1VrACZacloNGrsFM4G2+0UzqSlJLww77RhTclIS0KjVtOq6zB9j/Y/LScrBa1GjZWt4RBNKztnsm++OOaiir9/keTYmzR4Z2apy7K10tXhtCzDaQbpWRrsbUxfPtjZSEh/Ln1algaZTIKtlYS0TMO66+Mho6yrjPUHSz8aRGb7tA6nGGxXp6UgUziazJMbFUn8yq9xHTIeidwMiVxOVvgZEjfmj/4yc/FAHuxGxunfiV30OWZunjj1+QCkMlL3bi5dzPa6mFWpz33vUpORK5xM5sm5eY3HS+ZRZtRk/fcu4+wp4tYs1adJP/U7MnsF3tMXABIkcjkph/eQvHtLqeItLgt3F3JjDet2XlwiUjMzzF0cyX0cj4WHC7mxhkOMc2MTsfAwPbS9OP6pOnzuuhJb62zG9LJFAshkEv6IyOXwX6W7Qfg61uHszGS0GjXWdobnYhs7F+6mF63X+9xvq1DmZhNYvXWBaU7sXoCtwp1yQXULTFNUjgrd3z45zfBaIiVNhZuz+QvzpZjI46TIr0uNaimo4GPF6M9vlTpO4b9PNKT/I7p06ULbtm05fvw4p06d4sCBA8ybN4+VK1fq0xQ0D1qr1ZaoMQfQp08fPvnkE9LS0pg7dy729vZ06dLFYH9FLfubb76hWbNmBtu8vb2LlDcsLIy+ffvq/9+3b18aNmxISkqKQc/304bu0/nC/fr1Y9q0aQZleXl5Aboh8QEBAWzduhU3t6INrXl6PABiY2OZPXs2LVq04Ny5c9jZ2QHw9ttvU7t2bUJDQ/Hx8SlSuc8bP348AwYMMNj2dHE1Gxsb9u3bR1RUFL/99hunT59m7NixLFq0iFOnTmFtbXy3NDc312g0g6lGd8M37Rjay13//5nLniyOZlS1JIUuMmEii/G2Unrd4jW53+d38jJGSj1XpsTUfl5S2UgkJjbqmHl649znA5J3byL70nlkDk449XgPl/7DSTDRWLZr2Jy8+3fIvV2yG38mPXd+0lL4+XDU9LXk5mRx9+ZF9mz8BhePctSs1+blxVSY58PTak1sLJnrZ7fh6B6Aq/fLW5DH1J//RfXt+ff0n8xEnrpVzHkYr+bu45ezWJ7pACQFBmxWxhunXoNJ2bOZ7CvnkSmccOo2AOe+Q0lcu0SfX52WSuK6paDVkHc3CpmDI/YtO5e6EVKgF8RsXrYcbgOGkrh9A5kXzyF3cMK1zyDcB44idsU3AFiFVMWpU09iV31Hzq1IzN09ce3/IU6dk0naseGfibkgpv4ez28vxt+sZDEUHtaL3nu+Dgd4y2lV25LNR7K5E6PC1UFG17etSK2t4cDp0jWmTQfwGtTh58/FRTyvRZ7by6lfltBh8FKjxvhTfx/5gcjz++g2ch1ys+J3KDSp48DI/vkL2E775s6TGJ9LWITrApN/mif/dnEyY0hvTz6Zfxul8vVfqUssNlY40ZD+D7G0tKR58+Y0b96czz77jEGDBjFt2jQWLlwIwLVr16hb1/hOXGRkJBUr6uaUKBS6IS+mFtdKSUkxavgpFAr8/f0B+Omnn6hUqRJhYWEMHDiQwMBA/X6fXwHcFA8PD31ZxXH16lXOnDnD33//bTDXWa1Ws3HjRoYOHarf9rSha2Fhgaenp1EPOMDx48ext7fH1dUVe3v7YsXy7PHw9/cnLCyMMmXKsHnzZgYNGqRPJ5fLkctL/vVxcXEp9FhVqFCBChUqMGjQID755BMCAwPZvHkz771nvFjMnDlzmDHDcAVk3Q2G3gbb/rqYwY07+XPCzOS6HzkHeznJz/TYKuxkRr2+z0pJU+HwXG+uwk5GStpLvBh+DeN9VmaOFrVGi91zPcW2VhLSs0r+65SeVUCZ2aX7xVOnp6FVq416PWR2DqhTU0zmcWjXjZxb10j95cnc3Qd3SMjNoewn80je9iPqZ3rZJOYW2NZqSNKO9aWK8ykbe0ekUhnpz/U+Z6QmGfVSP8/ZTXezzbNcIOmpiRz4eem/0pC2tHZAIpWRnW4Yc3ZGEla2L465KFR52URf3E+NZiNLXRZARrauDtvbSIH874qdtbTAOpye+TQ9BunVai0Zz82NNpPr5kfv/fPlLMajziioDiuMevieUrTpQu6ta6Qd3AGA8sFdEnNzKDPpS1J2rkedmow6NRmtWg3a/F5KZcwD5A5OIJODuuBzT6Exp+lilj8fs70DqudGhzzl1LEH2devkrz3ZwDy7t0mNjeHctMXkLBlLeqUJJy7v0va8V/1867z7t9BYmmJ+6BRJO3c+K9dIefGJhj1LJu7OqFRKslLTNGleZyAhYfhKA0LNyejnuyS+KfqcLt6lvx1NX/e9aMEDeZm0LuFNQdP55b4Ju3rWIetbByRSGVkpRn+vbIyErG2e/GCjdfP7+fwhk9o+/4ifAroaT57NIy/Dy/nneGrcS1btBGSzzsdnkZkVP6ol6fXEk4KOcmp+Z/dwU5OSmrBw/OTU1X63uynFHb5ZQT4WuGoMGPx9AD9+zKZhMqBNrRv6kKHQZfQiMbp/xQxR/o/rGLFimRmZtKiRQucnJxMPvpo9+7d3Lx5k169egHg6OiIq6srf/9t+CiU7Oxsrly5QlBQwQuNmJmZMWXKFD799FOysrIIDQ2lYsWKLFiwAI3GeAXhlJSU0n3AJ8LCwmjYsCEXLlwgIiJC/5owYQJhYWEGaZ82dL29vU02ogHKly9PhQoVit2INuXpPrKzX+2qi76+vlhbW5OZafrRMJMnTyY1NdXgNXnyZKN0OblaHscr9a/7MXkkpaoIDcnv5ZbLoHKAFZHRxouwPHX9dg6hwTYG20JDbIiMfrnH6XWL91lqDTyI1xDobVhPA71k3IkteQP+bqyJMr1l3H1sepXvIlOryL1zC6tKoQabrSqFknMr0mQWqbkFPH9u+D/27js6iupt4Pg3u+m9kgIhIQQSehMpUqU3aUqvIlVBRZQmIEhRBEWqIF06gnTpXZpA6DUJNQnpvSe77x+BDctuQsKikd/7fM6Zo5m9d/bZ5c7s3Lnt2d8vtE5YvV0PTExIOnXEsDifMjY2oUSp8ty+elpr/+2rp/Eu+/Ll7p5Rq9VkZf4zM+K/SGlsirNHBUICT2ntDw08RTEvw8eDBl/diyo7A99q7Qw+FuSU4Ufh2fh7a984+nsbExyq/8Y7OCxLJ305b2MehGfrFJUafqYYK+HvG4bP1p0TcBYZD4IwL6/9729evippQfrLsJGpmW6lUhNoThlOC7yJSTE3rTJt7OpBVlyMQRWQZzGn3buLZWXtf3/LStVIu3Mzn5jzOu9y/qPIK42REa+r90NBxJ25hHMT7QqSS7N6xF+4hjor57uLPXMJ5yba8wY4N61H7GnD5w34p8qwqTE6FSLN34Z8vW9gGVYam+LqWYEHt7XHwj+8dQqPUnlf125d2MW+tWNo1Xc2PhUa6U1z/tBSzu5bSMchS3ErqbuMYkGlpqkIi8jQbA9D04mJy6RaBRtNGmOlEZX8rbkRmPcwk5uBKVSvYK21r3pFa24+zXPpRhJDxt/m44l3NNud4BSOnInj44l33rhKtFpddNubQirS/wHR0dG8++67rFmzhitXrnDv3j02b97MzJkzad++PVZWVixevJjt27czaNAgrly5wv3791m2bBn9+vXj/fffp0uXLprjjRo1iunTp/Pbb78RFBTE+fPn6dOnD8bGxlrdp/Xp0aMHRkZGLFy4ECMjI1asWMGdO3do0KABe/bsITg4mCtXrjBt2jTat2+vlTcuLo4nT55obXlV/J7JzMzkt99+o3v37lSsWFFr++ijj7hw4QKXLxds4qDXISUlRRP75cuXGTZsGObm5jRv3vzlmQshMTFR57tKSMiZOfKbb77hq6++4ujRo9y7d4+AgAA+/PBDMjMzadasmd7jmZmZYWtrq7UVdDz1zsOxvN/CkVpVrCnpbsqIPm6kZ6g5/nfuuoif9nWjV/vcJ8s7j8RStZwlHZs5UNzVhI7NHKjib8nOI3GaNOZmRpQqYUapEjlxFHMyoVQJM5wdDOsI8ybFe/xyJrXKGfO2vzHFHIx47x1THGyMOH0t58aldW0TujfRHo/l4aTAw0mBmUlOS7OHkwJXh9ybnxNXMinrqaRxNROK2RvRuJoJZUsoOX7Z8MpI/L5t2DZsjk39Zpi4l8Cp+0cYO7mQeGQPAA7v98VlYO7M0smXzmFVoy42jVth7OKKmW85nHoOIi3oNtlx2rOe2tRvTsrFM1rrmhqqUZs+nDm8hTNHtvIkJIg/Vn1PbFQY7zTNWcFg5/qfWLMg94HSiX3ruXbhKJFhD4gMe8DZo39wZNdK3qrfVpMmKyuTx/dv8fj+LbKzM4mPCefx/VtEPnmo8/6vomK9vtw5v4U757cQFxHEmd0zSIoPw//tnJj/3vcjxzaP1soTHXqT6NCbZGWkkJYcS3ToTWLDdcff3Tm/hZLlmmBuqX8s5as4dD6dupVMqVPRFFdHBZ0bmeNoo+Dk5Zzuq+/VN6dPq9wHWycvZ+Boq6BTI3NcHRXUqWhKnUqmHPpbt7trnUqmXA7MJDnt9d01xR/Yjk39Zli/0wQT9xI4dB2AsaMziUdzWmbtO/XG+cPPNOlTL/+NZbXa2DRqibGzK2a+/jh2H0h68B2y43PKcOLRvSisbXHs9hHGrh5YVKqBfZsPNOeFoWJ3b8WucUtsGzXH1MMTl96DMHEuRtzB3QA4d+uP29DcyUaTL57FuuY72DVtg0kxN8zLlqdY36GkBt4iOzZGk8auaRts6jTE2MUVy0rVcPqgD8kXzuhWsAtBaWWJbRV/bKvktAxaliqBbRV/zD3dAfCbOpIqK77XpH+wZAMWXh6U+2EM1v4+lOjXGc/+nQn+cbkmzf35q3Fu9g4+owZi5eeDz6iBODepw/15uisFvIp/ogxfDc6ifhUzaviZ4GSnwN/LmHbvmHM1KNPgSsCbWIarN+7PtdO/c+3070Q/CeLo1ukkxoZRuV43IGd8897fvtKkv3VhF/t+G03DDqNx965CckIkyQmRpKfm/j78ffBXTu2aQ/Me07F1Kq5Jk5Fu+FrzANv2R9G1XTHqVrfFq7gZIz8qQXq6iqNn4jRpvhjoSb/3c1dY2X4giuoVbfigtQsl3M34oLUL1crbsG1/zljw1DQVD0LStba0DBWJSVk8CHkNXf7Ff4507f4PsLa2platWvz0008EBQWRmZmJp6cnAwcOZNy4nGVP3n//fY4cOcL06dNp0KABqamp+Pr6Mn78eD777DOtMYGjRo3C2tqaWbNmERQUhL29PbVr19Z0ec6Pqakpn3zyCTNnzmTIkCG8/fbbnD9/nmnTpjFw4ECioqJwd3enbt26mi7nz+TV5XjMmDF5vt+OHTuIjo6mY8eOOq+VKVOGSpUqsWzZMubONXxyooL49ddf+fXXX4Gc1v3KlSuzZ8+efFvyX8XEiROZOHGi1r7Bgwfzyy+/0LBhQxYsWECfPn0IDw/HwcGBatWqsX///tceB8AfB2IxM1UwuFsxrC0V3LmfxjfzHpOWnns34OJgjPq5R6m3g9OYtTyMnu2c6dHOmSdRGcxaFsbd57ph+5Y0Z+rnuWPkB7yfM0798Ol45v726utAvknxXgrMxtIsg2ZvmWBrZUpYtIqlu9KITcqJzdbSCHtr7eeZX3TNnUncsxhUL2tMTIKKaWtyWs/vP1GxZn86rWqZ0vJtE6IT1Px2IJ2HEQa2SAPJ504QbW2DfftuGNs5khHygCc/fkNWdM5NgrG9g9batkknD6Ewt8CuaVucug1AlZJM6s0rxGxaqXVcE1cPLPwqEPaD9gR7hqpetxUpSfHs2/ILCXGRuHuWYfCYRTi6eACQEBultaa0Wq1i1/o5xESGoFAocXb1pG33z6jbNPdBZHxMBLPG5E4+dmTXSo7sWknpcm8xfJL253oVPpVbk5YSR8DhhaQkRuLgWobmfX/BxiFn/F5qYiRJcdrrYG+bn7uMTVTIdYIu78La3oOuXx3KjTvqHuEPLtCy/1Jep4u3M7GySKVVHXNsrYwIi8pm4dYkYhJyyrCdlQIH29wyHB2vYuGWJDo3tqBBVTPik1VsPpyqWTbomWIOCnxLGDNv8+ud1Tbl75PEWNlg364rSjtHMkIfEP7zFM1SP8Z2Dhg75T5kSzp1GCNzC2wat8Hhgw9RpSaTduuK1nJv2bFRhP84CceuAyj+zc9kxUaTcHBn7pAGAyWdOU6EjS1OnXqitHcg49EDQr6fQFZUzpr2SntHjJ1z5/lIOH4AhYUF9i3ew6XXQFQpyaRcv0zUutweXNF/rEONGqcufTF2dCI7IZ7ki2eJ2rjSoFjtalSkzqHcJZjKz8q5R3m0eitXBozFzN0Fi6eVaoDU+4/5u90gys8ei9fQnqSHRnD982mapa8AYk8HENBzJH6TP8Nv8ghSgh4R0ONz4s5dMSjWZ/6JMrz3dBqo1bSrZ46dtYKkVDVXgzLZeTLvnlEF9SaWYb/qrUlLjuXsvoUkx0fg5F6WDkOWYOuYc11LTogkMTb3unb1r42oVFkc3jyFw5tz1yQv/3ZHWvT6DoArJ9eTnZ3JruUjtN6rdstPqNPa8OErm/dEYmqq4OM+xbG2UnI7KIXxs4JJTcv9LS3mZKI1P9HNwBS+W/SQPp1d6d3JlbCIDGYsesDtf7B3W1F601rQi4KROq8ZrIQQb7wOw17jpE7/sG0Ly75x8X6x8PU8Gf+3zB5mRXC/ti9P+B/hs3IXfwa8pm6//4JW1UyYucXwBxr/lq86K/h4VlxRh1EoC0bZc/+j9i9P+B/hvXQ7d7q3LOowCqzs+r3sNnn9D2z/SW0yb79R5fhNLMO/7Ht5uv+KIS2gVb/X8xDm3/Lnytc4OeRrtOZE0VURe9V/M9awlq7dQgghhBBCCCFEIUhFWvzjWrVqhbW1td5t+vTp/0oMJ06cyDMGa2vrlx9ACCGEEEKI/yfUaqMi294UMkZa/OOWLl2a56zXjo6O/0oMb731FpcuXfpX3ksIIYQQQgjxv00q0uIfV7x48aIOAQsLi1da41oIIYQQQoj/b2QWrZeTrt1CCCGEEEIIIUQhSEVaCCGEEEIIIYQoBOnaLYQQQgghhBBCQ9aRfjlpkRZCCCGEEEIIIQpBWqSFEEIIIYQQQmjIZGMvJy3SQgghhBBCCCFEIUiLtBBCCCGEEEIIDWmRfjlpkRZCCCGEEEIIIQpBKtJCCCGEEEIIIUQhSNduIYQQQgghhBAasvzVy0mLtBBCCCGEEEIIUQjSIi2EEEIIIYQQQkMmG3s5aZEWQgghhBBCCCEKwUitlucNQgghhBBCCCFy/Hqw6N57YNOie+/CkK7dQvwPazf4ZlGHUGA7F5d74+Id8G1kUYdRKMsmuBAcFFTUYRSYT+nSxE4bWtRhFJjD+EX0Gh9a1GEU2JppHuw28SvqMAqlTeZtAoPuFXUYBeZbuhQPAm8XdRgF5uXrx8ez4oo6jEJZMMr+jSrHb2IZ7jHmcVGHUWDrvitBx0/uFnUYhfLH/DJFHYJeKlVRR/DfJ127hRBCCCGEEEKIQpAWaSGEEEIIIYQQGjL49+WkRVoIIYQQQgghhCgEaZEWQgghhBBCCKEhLdIvJy3SQgghhBBCCCFEIUhFWgghhBBCCCGEKASpSAshhBBCCCGE0FCpi257FQsXLqRUqVKYm5tTo0YNTpw4kWfarVu30qxZM1xcXLC1taVOnTrs27ev0O8pFWkhhBBCCCGEEG+kjRs38tlnnzF+/HgCAgKoX78+rVq14uHDh3rTHz9+nGbNmrFnzx4uXLhA48aNadeuHQEBAYV6X5lsTAghhBBCCCGEhrpIZxszKlTqH3/8kQEDBvDRRx8BMGfOHPbt28eiRYuYMWOGTvo5c+Zo/T19+nS2b9/Ozp07qVatWoHfV1qkhRBCCCGEEEL8J6Snp5OQkKC1paen602bkZHBhQsXaN68udb+5s2bc+rUqQK9n0qlIjExEUdHx0LFKRVpIYQQQgghhBD/CTNmzMDOzk5r09eyDBAVFUV2djaurq5a+11dXXny5EmB3m/27NkkJyfTpUuXQsUpXbuFEEIIIYQQQmgUZc/usWPHMnLkSK19ZmZm+eYxMtLuDq5Wq3X26bN+/Xq++eYbtm/fTrFixQoVp1SkhRBCCCGEEEL8J5iZmb204vyMs7MzSqVSp/U5IiJCp5X6RRs3bmTAgAFs3ryZpk2bFjpO6dothBBCCCGEEEJDpSq6rTBMTU2pUaMGBw4c0Np/4MAB6tatm2e+9evX069fP9atW0ebNm1e5SuSFumi1q9fP1atWgWAUqnEw8ODNm3aMH36dBwcHADw9vbmwYMHOnlnzJjBmDFjuH//PqVKlUKpVPLgwQOKFy+uSRMWFoanpyfZ2dncu3cPb29vzWurVq1iwYIFXL9+HYVCQbVq1fjqq69o27atTmx5UavVeaZr0aIFe/fuLfB3MX36dCZMmMC0adMYM2aM1msrV66kf//+mr/d3NyoX78+33//PaVKlQK0vycLCwt8fHwYPnw4gwcPful7v3h8Kysr/Pz8GD9+PJ06dWLAgAGcO3eOCxcuYGpqqkm3Z88e2rdvT4sWLdi9e3e+73Hv3j1WrlzJ5MmTdV7z8/Pj1q1bAAQHBzN+/HiOHTtGTEwMzs7O1KhRgx9++IGyZcu+9LO8iu5tnWlR3x5rSyV37qXyy/onPAzLyDdP3Wo29HzPBXcXE8IiM/lteyRnLiVqXm/VwJ5WDR1wdTIB4GFYOht2RXHhevJ/Mt73WzpRt5oNxd1MychQcys4lZVbIwgJz/+4L9O4hjkt6lhib6MgJDKLDfuSufsoM8/0ZUua0LW5FcVdjIlLVPHnqRSOXUzTvP5OZTM+bG+rk2/w9Eiysg0KFYBdu3bx+5YtxMTE4OXlxeBBg6hYseJL812/fp2vRo/G29ubBfPna72WlJTEqlWr+OvUKZKSknBzc+Ojjz7i7Zo1DY7XrEYDzGo3Q2FtR3ZkGKkHNpP1KFBvWsu2fTCrUkdnf3ZkKAlLvs09Zs13MavRAIWtA+rUJDJuBpB6ZBtkZxkcL0DTWpa0rmeNvY2SkIhM1uxO4PaDvMuZv7cpPVvbUryYCXGJ2ew6kcThcyma198qb857jaxxdTRGqYTw6Gz2nEzir0upBsfqWO8tfL4YgF31iph7FON852GE7ziUf576NSk/awzW5cuQHhpB0OylPFyyQSuNW8fmlP3mUyxLlyQl6CG3J/5E+PaDBscLsGvXTrZu+Z2YmBhKenkxaNCQApXhG9evM3r0l3h5ezN//kLN/gMH9jPnpx910v+xbYfW74Ehduzaw+atW4mJicWrZEmGDvqIShUrvDTf9Rs3+GL0OLy9vPhl/s+a/aPGjOPK1Ws66d9+6y2mTp5ocLz1q5rStKYZdlYKwqKy+f1IKkEheV+AfEso6dzIAndnJfFJKg78nc7Jy9plvnF1M+pXNcXBRkFyqpqAOxlsP5Fm8HVNyvC/U4ab1raibQObnOtaeCard8Vx+34+17VSpvRuY09xVxPiErLZeTyRQ2dz7w8a17SifnVLPN1y7iHuPc5g4754gh7n/ftZWF1bO9L8HTusLBTcfZDGko2RPHqS/29+7arW9GjjiJuzCU+iMlm7M5qzV3LjLl/anA5NHShd0hxHO2NmLAnl3BXD73tE/kaOHEnv3r156623qFOnDkuWLOHhw4cMGTIEyOkqHhISwurVq4GcSnSfPn34+eefqV27tqY128LCAjs7uwK/r7RI/we0bNmSsLAw7t+/z9KlS9m5cyfDhg3TSjNlyhTCwsK0tuHDh2ul8fDw0BSQZ1atWqVVsX5m1KhRDB48mC5dunD58mXOnTtH/fr1ad++PfOf3gT//PPPWu8HsGLFCp19z3+G57f169cX6ntYsWIFX331FcuXL9f7uq2tLWFhYYSGhrJu3TouXbrEe++9R3Z27q/ss+/pypUrdOjQgSFDhrBx48YCvf+z44eFhREQEECLFi3o0qULt2/fZs6cOSQmJjJp0iRN+ri4OAYNGsT48ePZsGGD1mcvUaKEzr+Zp6cnABUqVND5rk6ePAnkzDzYrFkzEhIS2Lp1K7dv32bjxo1UrFiR+Pj4Qn2fBdW5hRMdmjqyeEM4I2fcJzYhiymflcTCLO/Lg5+PBV8NLM6Rs/GM+PYeR87GM3pQccp6m2vSRMVlseqPCD6ffp/Pp9/nyq0Uxg/zpKS7YT/a/1S8FctasvtoLF9+d58JPz9EqYApn5bEzLRwSzA8r2Z5M7q1sGb3yRQm/xrL3YeZfNbDDkdb/bE62yv4rLsddx9mMvnXWHafTKFHS2tq+Gt/ZylpKj7/MUprex2V6GPHjrF4yRK6de3K/HnzqFChAhMmTiQiIiLffMnJycyaPZuqVavqvJaZmcm48eMJj4hg/Lhx/LpkCSNGjMDZycngeE3K1cCi2Qek/bWXhKXTyXoUiHW3jzGyddCbPuXAJuLmjM7d5o5FlZJExs2LmjSmFWpi8W4HUk/sJmHxZJJ3rcG0fA0sGncwOF6AWpXM6dXajh3Hkvh6QSS372fwZV9HnOyUetO7OCgZ1deR2/cz+HpBJDuOJdGnjR01K+SW3eRUFTuOJjF5cRTj5kVy/EIKgzrZU8m3YN3i8qO0siThym2ufzqlQOktvEtQc+cSYk5e4GTNDgR+/wsVfhqPW8fc2VTta1el2rqfCFm7nRM12hOydjvV18/B/u3KBsd7/Ngxfl2ymK5duzF33gIqVqjIpIlfF6gMz549S28ZBrC0tOS3Neu0ttdVATl6/AS//LqUHl27sGjuHCpVLM/4SZOJiIh8acwzZ8+hWtUqOq9NHD+WDb+t0mxLFs5HoVDQoN47Bsdb3c+E9xtbsO9MOjNWJxIYks3Hna1xsNF/rXSyUzCsszWBIdnMWJ3IvrPpfPCuBVXLmGjS1CxnQvsG5uw5lca3KxJZsy+F6v6mtK9vrveYhSFlOMc/WYZrV7agT1t7th1JYNzccG7dT2d0f+d8r2tf9Xfm1v10xs0NZ9vRBPq2s6dmRQtNmvI+Zpy6nMLUJZFMWhhBVHw2Ywa44JDH72dhdWzqwHuN7fl1UwRf/fCI2IRsvhleHHOzvH/z/UqZM6q/G0f/TuTz7x5y9O9ERg1wp4xX7rXW3EzB/ZAMft2U/7/Xm0CtLrqtsLp27cqcOXOYMmUKVatW5fjx4+zZswcvLy8gp2Hx+TWlFy9eTFZWFh9//DHu7u6a7dNPPy3U+0pF+j/AzMwMNzc3SpQoQfPmzenatSv79+/XSmNjY4Obm5vWZmVlpZWmb9++rFixQmvfypUr6du3r9a+M2fOMHv2bH744QdGjRqFr68v5cqVY9q0aXz22WeMHDmSR48eYWdnp/V+APb29jr7nv8Mz2/PWtQL4tixY6SmpjJlyhSSk5M5fvy4ThojIyPc3Nxwd3encePGTJo0iWvXrhEYmNv69Ox78vX1ZerUqZQpU4Zt27YVKIZnx3dzc6NMmTJMnToVhULBlStXsLGxYeXKlcyePZuzZ88C8Nlnn+Hu7s7XX3+NtbW11mdXKpU6/2ZKZc4PirGxsc535ezsDMCNGzcIDg5m4cKF1K5dGy8vL9555x2mTZtGzdfQeqfPe00c2fRnNKcDEnkYms5PK8MwM1XQ8G3dVs9n2jdx5NLNZH7fG83j8Ax+3xvN5VvJvNckd9mAv68kceFaMqERGYRGZPDb9kjS0lX4+VjkedyijPebuY84dDqeh2EZ3H+czpxVYRRzMsHX69Vv5JrXtuBEQBonLqURFpXNhv3JxCRk0+gt/d9BoxoWRCfkpAuLyubEpTROXkqjRR1LnbQJyWqt7XX4448/aN68OS1btqRkyZIMGTwYFxeXl/a2mDtvHo0bNaKcv7/Oa/v37ycxMZGJEyZQoUIFXF1dqVihAj4+PgbHa16rCRmXTpFx6S9U0U9IPbAZVUIsZtUb6M+QnoY6OUGzGbt7YWRhScbl05okyhI+ZD0KIvP636jiY8i6d5OM6+dRunsZHC9Aq3esOXohhaPnUwiNzGLNngSi47NpUkv33xjg3bctiY7LZs2eBEIjszh6PoVjF1NoXc9ak+bmvQzO30gjNDKLiJhs9p1O5lF4Jn7eht8kR+47zp1Jc3iy7cDLEwNeg7qR9jCMG19MJ+lWMI+W/86jlVvxGfmhJk2p4X2JOniKoJlLSL4dTNDMJUQdPoP38L75HLlg/vhjK82bt6BFy1aULFmSQYOH4Oziwp7du/LNN3/eXBo1aoS/fzm9rxsZGeHo6Ki1vS5b/thOy+ZNadWiOSVLejJ00EBcnJ3ZuWdPvvnmzF9I40YNKOfvp/OarY0Njo4Omu1iQADmZmbUr294RbrJW2acvprBqasZhMeo2HIkldhEFfWr6n9wU6+KKbEJOenCY1ScuprB6asZNKmZm76UhzHBIVmcv5VJTIKKWw+yuHArg5JuhneclDKc458sw63r2XD0fDJH/865rv22K57o+Gya1rbSm75JLWui47L5bVd8znXt7xSOnk+mbf3c69qCjTEcPJPMg7BMQiOz+HVLLEZGUNHX8IcrAG0b2/P7vljOXE7mYVgGc38Lx8zEiAZv2eSdp5E9l2+lsHV/LCHhmWzdH8uV2ym0a5x7v3vxRgrrdkVz5rK0Qv/bhg0bxv3790lPT+fChQs0aJB7L7By5UqOHj2q+fvo0aOo1WqdbeXKlYV6T6lI/8cEBwezd+9eTExMXp74Be+99x6xsbGa1s2TJ08SExNDu3bttNKtX78ea2trvV2ev/jiCzIzM9myZcurfYBXtGzZMrp3746JiQndu3dn2bJlL81jYZFTGcnMzLubj7m5eb6v5yU7O1vTXb169eoANGrUiGHDhtG3b182b97Mpk2bWL16NcbGr2+EhIuLCwqFgt9//12rpf2f4upsgqOdMQE3kjT7srLUXLuTgn/pvCu8/j4WBNzQ/pEIuJ5MudL6KwMKI6j/li3mpkbcCn717qb/VrwAVhY5l8fE5EIO1nlKqQAvd2OuB2t3E7sRlIFvCf1lpnRxY24Eaae/FpSBl7sxyueu1mamRswc7sgPnzoyoqvta7nZzMzM5G5goKa8P1O9WjVu3LyZZ779+/cTFhZGz5499b5+5uxZypUrx4KFC+neowdDhg5lw8aNhpdvhRKle0ky793Q/hzBNzEuUbBKumnVumTdu4UqIUazL+tREEr3kig9cirOCntnTHwrkBl41bB4AaUSSnmYcC1Qey3Ma4HplCmpv9JbxtNUJ/3Vu+mUKm6iVSaeV8HHFDdnY27dM2xYwquwr12VyIN/ae2L3H8CuxoVMXp6rXSoXZWogye10kQdOIFDnWoGvXdmZiaBgXepplOGq3MznzJ8YP9+wsJC6dGzV55pUlNT6de3D3169+KbSRMJCtI/fOBVYr4bGEj1atqfvUb1aty4eSvPfPsOHCQsLIzePboX6H327j9Iwwb1sTA3rBKiVICnq5Kb97WHOdy8n4WPh/7rkI+7sd70Xq5KFE/LcNDjLDxdjfFyy3ng7GSnoEIpE64Fv75uvAUlZbhwlEooVdyEK3fTtPZfvZtGWS/9D1fKeJly9YX0V+6mUaqEaZ7XNTMTI4yVRiSlvNpv8vNcnYxxtDPm0q3cITJZWWquB6bin8/Dfr9S5lp5AC7dTMHP5/VU7sWbR8ZI/wfs2rULa2trsrOzSUvLubD8+KP2WJbRo0fz9ddf6+Rr1KiR5m8TExN69erF8uXLqVevHsuXL6dXr146lfI7d+5QunRpvV16PDw8sLOz486dO6/0GV6MecKECS/Nm5CQwJYtWzSLpvfq1Yt33nmHefPmYWurv5Xx8ePH/PDDD5QoUULvuOGsrCzWrFnD1atXGTp0aIE+Q3x8vOYzpKamYmJiwpIlSyhdurQmzYwZM9i3bx/dunVj9uzZlCun/8lvfq5evarzXXXr1o2lS5dSvHhx5s6dy1dffcXkyZN56623aNy4MT179nwtLXgvcrDNuQTEJWhXauISsyjmmPfDHHtbY+IStG+M4hKycLDV7sbl5WHGD6O9MTUxIjVdxbRfHvPoJWOZizLe5w34wJXrd1N4GJqeZ5r82FgqUCqMSHihIh6frKaitf47BVtrBfEvtC4nJKswVhphbakgPklFWHQ2y3ck8jgiCwtTBU1rWTCmnz3fLIklIubVK6cJCQmoVCoc7O219ts7OBAbG6s3T0hICCtWruSHmTM1PS5e9OTJEy5fvkzjxo2ZMnkyIaGhLFy4kOzsbHr26PHK8RpZWmOkUKJKStTar05ORGH98vFNRta2mJSuQPI27aEkmTfOk2ZpjU2fUYARRkolaReOkX56v/4DFYKNpQKl0oj4JO1/p/gkFfbW+r8/Oxsl8XfTX0ifjbHSCBsrBXGJOeXLwsyIeaNdMTY2QqWClTvjuBb0amXXEGauzqSHR2nty4iIRmFigqmzA+lPIjFzcyY9PForTXp4NGZuLga997MybG+v3RsqpwzH6M0TEhLCypXLmTlzVp5l2NPTk89HfoG3dylSUlLYsX0bX476gnnzF+odOvUqMb943jnY2xEbG5dHzKEsW7mKH2d+l2fMz7t1+w73Hzxg5KfDX5r2ZawtjHKuay9UZhJTVNha6b+ltLEyIvGF9AkpKpRKI6wtjEhIVnPhdibWlqmM7G6NEaBUGnH8UjoHzkkZhv92GdZc1xJf+K1LVGFXVv9vnb21git60r94XXtet1Z2xMRncy0wTee1wrJ/di+R+MJ9QWI2Lo55V43sbY2JS3zx/iMbB5uXn4dvIlURLn/1ppCK9H9A48aNWbRoESkpKSxdupQ7d+7ojH/+8ssv6devn9Y+fRe/AQMGUKdOHaZPn87mzZs5ffo0WVmFmyCnoOuu6fsMzytot6F169bh4+NDlSo547yqVq2Kj48PGzZsYNCgQZp0zyq6arWalJQUqlevztatW7UeCDx74JCeno6pqSlffvllgSYbg5xu4Rcv5oyVTElJ4eDBgwwePBgnJydNq76FhQVffPEFn3/+eaHHUTzj5+fHjh07dN77mY8//pg+ffpw5MgRzp49y+bNm5k+fTo7duygWbNmeo+Znp5Oerr2DYe+ZQMavm3Lxz3dNX9Pmf8I0B2PYgS87Pqp87qR7r6Q8HQ+nRqMlaWSutVs+LyfB2NnPyhwZfrfjveZId1d8S5uxugfdCf5K7QXYzV62fgf7RefnYnqp5mCQ7IIDnl2TmcT+CiTiQMdaFLTnPX7DO9KVtB1GLOzs/l+5kx69exJiRIl8jyeWqXC3t6eEcOHo1QqKVOmDDHR0fy+ZYtBFenn3uGFD0CBBliZVa6DOi2VzNuXtfYblyyD+TstSdm7gayQeygdXbBs1gV1vXjSTv75GuLVE54RqPMpwbofx0hnf1qGmvHzIzEzM6KCjxk9W9kRGZPNzSJoldY9QY109+tL85oWLX2xuOZXhn+Y+R09e/ameD5l2N+/nFZ32fLlyzNixCfs3LmdIUOG5ZmvcDG/eN6Re/K/EPOMH2bRp2cPShSwArR3/wG8vbzw93uNk1Xq+afK759P3zX7+eOU8TSmZW1zNh5M5X5YFi72St5/14L42ir2nvn3K9NShl+Dl/ww61wG9XzFz7RtYE3dKpZ8uySSzFeY87HBWzYM6Z67PvC0RaF6gyjIz4darfsbLfXN/7+kIv0fYGVlha+vLwBz586lcePGTJ48mW+/zZ1F1tnZWZMmPxUrVsTf35/u3btTrlw5KlasyKVLl7TSlC1blpMnT5KRkaHTKh0aGkpCQgJlypR55c9QWMuXL+f69etaXaRVKhXLli3Tqkg/q+gqFApcXV11xohD7gMHS0tL3N3dC/VAQKFQaH2GypUrs3//fr7//nut7vHGxsYolcpCP2x4xtTU9KXflY2NDe+99x7vvfceU6dOpUWLFkydOjXPivSMGTN0ZgPPmRitq9a+c5eTuHMvWPO3iXHOZ3CwUxL7XIutnY1uC+7zclpztS8f9jbGOi3FWdkQFpkJZBL4II0y3ha8964jC9Zqr/WXl387XoBB3Vx5u7INY2c9IDru1WdpTkxRka1SY/tC67OtpW4r9TMJSSrsrLTT21gpyMpWk5yq/6daDdwPzcQ1n6foBWFra4tCoSDmhdbn+Lg47F9oLYOcXht3794lKCiIhU8foj0bY9SmbVumTZ1K1apVcXB01Jwzz3h6ehIbG0tmZuYrDWMBUKckoVZlo7C25fl/RSNLG1TJCS/Nb1qlLhlXz4JKuwyYN3yPjKvnyLiU07VTFRlKqokZlq17knZyL4bcMiWmqMjOVmNvowRyu6zaWeX0NtAnPjEbexvtMmFnnVMmnu/iqFZD+NMeCQ/DsihezJh2Da25eU9/K9Y/JT08SqdVztTFEVVmJhnRcTlpnkRh5uaslcasmKNOK2BhPSvDL/agyCnDunN2PF+GFy1aAOSW4XZtWzN16nSq6Jm4SaFQULZMWUJDQg2K9/mYXzzv4uLjdVqpn8V8524ggUHBzF+0WCvmlu06MGPqZKpVyZ18LC0tnaPHT9C31+t4aAVJqeqc65qVAp4782wsFSSm6D83EpOfpUcrfXa2mqS0nDxt3zHn3I2ccdcAoVEqTE2gR3NL9p1J/1crKlKGC+fZdc1Oz3Uqr+taXJJK57pmq+e6BtCmvjXtG9syfWkkj568Wlf/c1eTuHM/tyX72b2Eva0xsc/dB9jZKIlPzLtnl757CTsbpU4r9f+K1/Rc6H+aVKT/gyZNmkSrVq0YOnQoHh4ehc7/4YcfMmzYMJ0W4me6devG3LlzWbx4sU7L96xZszAxMaFz586vFHthXb16lfPnz3P06FGtFuy4uDgaNGjAtWvXNEs+vFjR1aegDxwKSqlUkppq+BIyhjAyMsLf31/T9V2fsWPHMnLkSK19ZmZmvD8iWGtfarqK1EjtH6mY+CyqlrMi+FHOU39jZc4M1qu25j3j5K3gVKqWs2L7odyb9GrlrbgZlJJnnpzPkvsDVhD/dryDu7lSp6oNY398QHi0YWPzslXwICyLCj6mBNzObRUs72NKwB39rYRBIVlUKWMK5LYsV/Ax5UFYFtn5DAvzdDMmJMKwpZlMTEwo4+tLQEAA7zy37uLFgADq1K6tk97S0pJFCxdq7du1ezeXL19m/LhxmskIK5Qvz5GjR1GpVCieDogMCQnB0dHxlSvRAKiyyQ57iHGpclqtyialypFx53I+GXNanZWOxUi6rHtOGZmYglr7y1Y/W9TSwKaH7Gy4F5pJRV8zzt/Ivamr6GvGhZv6uyvefZRBdX/t8XcVfc24F5KZb5kAMFG++ozzryruzCWKtWmstc+lWT3iL1xD/bR3VOyZSzg3eYd7P+cum+jctB6xpwMMem8TExN8fcsQEBBA3bq5k2oFBARQO48yvGDhL1r7du/exZXLlxg77mutCTWfp1arCQ4Owtu7lEHxPou5jK8vFwMuUa9u7tJsFwMuUaf223pjXrxgnta+nbv3cOnKFSaMHYObm6vWa8dPnCQzM5MmjRsZHCvkXNcehWfj723M5cDca6S/tzFXAvVfM4PDsqhUWvtcL+dtzIPwbM16sabGut1INX//y01+UoYLJzsb7oVkUsnXnPPXn7+umXPhhv77p7sPMqhezhzIXY2kchlz7j3O0LqutW1gTYd3bfluWRT3Ql79NzktXc2TdO38MfFZVPG35N7j3HuJCr4WrN6e98OQ2/fSqOJvyc4jcZp9Vf0tuR1seHdz8WaSivR/UKNGjahQoQLTp0/XLEWVmJioWePsGUtLS71jiAcOHMgHH3ygtxUJoE6dOnz66ad8+eWXZGRk0KFDBzIzM1mzZg0///wzc+bM0SzVVFDp6ek68RkbG2tmo87LsmXLePvtt7Vm1ns+zmXLlvHTTz8VKpZXpVarNZ8hNTWVAwcOsG/fPiZONHzNzedlZWXpfFdGRka4urpy6dIlJk2aRO/evSlfvjympqYcO3aM5cuXM3r06DyPaWZmprcrd0HsOBTDB62cCY3IJDQigy6tnEjPUHHsXG6r3uf93ImOy2L1tkhNnu9GedG5hRNnLyVSq6oNVcpZMXrmfU2e3h1cuHAtiajYLCzMFDSoaUvFspZ8M/fRK8X5T8c7tLsbDd62ZdrCx6SmqbB/On46JVVFRuar3cXtP5PKRx1suB+aRVBIJg2qmeNop+TYhZybi07vWuFgo2DZ9pxxvkcvpPLuWxZ0bWbF8YA0Shc3oX41c5Zszf1s7zWwJOhxJuEx2ViYGdH0bQs8XY1Z+2eS3hgKo2PHjsyaPZsyZcpQzt+fP/fuJTIyktatWwM5S9RFR0czatQoFAqF1rr0APZ2dpiammrtb9OmDTt27uSXxYt5r107QkND2bhpE++9957B8aadPYRV+35khz0g6/E9zKrVQ2HnQMbFEwCYN2qPwsaelJ3a69ybVn2HrJB7qCJ1W2My717BvFYTssIfkx1yD4WjCxYN25F598preTz/519JDH3fgeCQDAIfZtK4piVOdkoOPV0XuktzGxxslSz+PQ6Aw+dSaFbbip6tbDlyPgXfkiY0qmHJgk25LVbtGlhzLyST8JgsjJVGVPUzo141S1buMHzJPKWVJVa+JTV/W5YqgW0VfzJi4kl7FIbf1JGYF3flcv+c69ODJRvwGtaTcj+M4dGyTdjXroZn/84E9PpCc4z781dT+/AafEYNJHznIVzbNcG5SR1ONzK81bRjx07Mnv0DZcqUwd+/HHv3/klkZAStW7cBYOWK5URHR/PFqC/zLMMmL5ThdWvX4Ofvj4dHcVJSUti5YzvBwcEMHfaJwfECdO7Ynpmzf6JsGV/K+/uze+8+IiIjadu6FQDLVq4iOjqGr774HIVCQSlv7Rnk7e3tMDUx1dkPsPfAAerWqZ3nfCOv4tD5dPq2tuThk2yCQ7OoV9kURxsFJy/nVEjeq2+OvbWC1X/mlOmTlzNoWM2MTo3M+etKBj4extSpZMqKXbkPMq8GZ/FuDTMeh2dz/0k2LvYK2r1jztWgTINPOynD/3wZ3nMykWFdHAkOyeDugwzerWWFs71Ssy501xa2ONopWfT0unXobBLN61rRq40dh88lU8bLlEZvWTFvQ+7D7rYNrPmguR3zN8QQGZuF3dPeXWkZatIzDL8W7zoSx/vNHQiLyCAsMpPOLRxJz1Rz/HzuvBsjersSE5/Fmh054+F3HY1j2mcl6NjUgXNXk3i7kjWV/S0Z92PufY25qRFuLrkPjlydTPAubkpSioqoWMMeeIv/HqlI/0eNHDmS/v37aypPEydO1KnQDR48mF9++UUnb0EqsHPmzKFy5cosWrSICRMmYGRkRPXq1dm2bZvOLN8FsXfvXtzd3bX2+fn5cetW3rOOZmRksGbNmjwriJ07d2bGjBl8//33hY7nVSQkJGg+g5mZGV5eXkyZMiXfCuyruH79us53ZWZmRlpaGiVKlMDb25vJkydz//59jIyMNH9//vnnrzWOZ7bsi8bUxIihPdywtlRw514qE39+RGp67mNhF0cTrZuZW8GpzFwaQu/2LvR8z4UnkRnM/DVEq+uUvY0xI/t74GhnTHKqivsh6Xwz9xGXbho2jvefird1o5xuczNGad+MzlkZyqHTr1Yh+ftGOtYWRrRrYImdtYKQyCx+Xh9PdHxOrPbWCq01paPiVMxZH0+35lY0fsuCuEQV6/YmceFWbgu2hZkRfdvYYGutIDVdzcMnWcxcFce9UMN/oBs2bEhiYiLr1q0jJiYGb29vpkyejKtrTitXTGwsEZH5r237IhcXF6ZNncriJUsY9vHHODk50b59ez54/32D4828eYFUSyvM67XJ6eIdGUbShgWaWbgV1nYo7F6Yq8HMHFP/aqTs36T3mM/GQVs0bIfCxh51ShIZd6+SdnS7wfECnL2aho1lPB0b22Bvo+RxeCY/rI4hOi6na6C9jRLn59ZejYzNZtaqGHq1saVpbStiE7JZvTuev59r+TEzNaLfe3Y42inJyFQTGpnFos2xnL1qeCuJXY2K1Dn0m+bv8rPGAfBo9VauDBiLmbsLFp6517PU+4/5u90gys8ei9fQnqSHRnD982k8+SN3srbY0wEE9ByJ3+TP8Js8gpSgRwT0+Jy4c1cMjrdBw4YkJCawft1aYmJi8fL2YvLkbymmKcMxREYWbn3XpORk5s2dS2xsLFZWlpQuXZrvZ/6An5/uslOvolGD+iQkJLJ2/UZiYmLw8vJi6uSJuBbLGdMZE1P48w7gcUgI167fYMbUyS9PXAgXb2diZZFKqzrm2FoZERaVzcKtScQk5Fx07awUWmv9RserWLglic6NLWhQ1Yz4ZBWbD6dy6W5uC+He02mgVtOunjl21gqSUtVcDcpk50kpw29CGT5zJRVryzg6NbHNua49yWTmyiiinl3XbJU42edWOSJjs5m5Iorebe1pVsea2IRsVu2M4+9ruS3YzepYY2JsxOe9nLTea8vBBLYcfPnwnZf542AspqZGDOpaDGtLBXfvpzF5fghp6bk3Dy6Oxlr3ErfvpTF7xRN6tHWie1snwqMymb08jLsPcsfxl/YyZ+qnuePVP+ycM0zg8JkE5q0JNzjuf5O6SGcb+/d7VL0KI/WLo+aFEP8z2g3Oe7mM/5qdi8u9cfEO+LbwN7dFadkEF4KDgoo6jALzKV2a2GkFm3X/v8Bh/CJ6jTd8zOG/Zc00D3abvJ4b6X9Lm8zbBAbdK+owCsy3dCkeBN4u6jAKzMvXj49nxRV1GIWyYJT9G1WO38Qy3GPM46IOo8DWfVeCjp/cLeowCuWP+YWbl+jfMmur4UuNvapRnd6MFZqlRVoIIYQQQgghhIYsf/Vyb0Z1X7yx1q5di7W1td6tQoUK/1ocFSpUyDOOtWvX/mtxCCGEEEIIId580iIt/lHvvfcetWrV0vuaQTP2FtKePXvIzNQ/4+Oz8Z9CCCGEEEIIWf6qIKQiLf5RNjY22NjYFHUYeHnpzmYqhBBCCCGEEK9CunYLIYQQQgghhBCFIC3SQgghhBBCCCE0VDLb2EtJi7QQQgghhBBCCFEI0iIthBBCCCGEEEJDJht7OWmRFkIIIYQQQgghCkEq0kIIIYQQQgghRCFI124hhBBCCCGEEBrStfvlpEVaCCGEEEIIIYQoBGmRFkIIIYQQQgihoZIm6ZeSFmkhhBBCCCGEEKIQpCIthBBCCCGEEEIUgnTtFkIIIYQQQgihoVYVdQT/fdIiLYQQQgghhBBCFIKRWi0jyYUQQgghhBBC5Ji8JrPI3ntSL5Mie+/CkK7dQvwPa9XvSlGHUGB/rqz8xsX78ay4og6jUBaMsme3iV9Rh1FgbTJvk3BhX1GHUWC2NVpw6mZiUYdRYHXL2XA36EFRh1EoZUp7vXFleK9tuaIOo8BaJtzk/kftizqMQvFeup3AoHtFHUaB+ZYu9caV4auB4UUdRoFV8nWlzUfXijqMQtm9tGJRhyBekVSkhRBCCCGEEEJoqGSM9EvJGGkhhBBCCCGEEKIQpCIthBBCCCGEEEIUgnTtFkIIIYQQQgihIfNRv5y0SAshhBBCCCGEEIUgLdJCCCGEEEIIITRU0iD9UtIiLYQQQgghhBBCFIJUpIUQQgghhBBCiEKQrt1CCCGEEEIIITTU0rf7paRFWgghhBBCCCGEKARpkRZCCCGEEEIIoSGrX72ctEgLIYQQQgghhBCFIC3SQgghhBBCCCE0VDJG+qWkRVoIIYQQQgghhCgEaZEWBjt16hT169enWbNm7N27V7P//v37lCpVSvO3vb09lSpV4ttvv6Vhw4YA9OvXj1WrVgFgbGyMp6cnnTp1YvLkyVhZWeX7vgU5PsDjx4/x8fHBx8eHW7du6RxHrVbz66+/smzZMq5fv46xsTG+vr706tWLQYMGYWlpyTfffMO2bdu4dOmSJt+JEydo164dvXv3Zu7cuaxatYr+/fvrHN/MzIy0tDSMjIzy/Tx9+/Zl5cqVHDlyhClTpnD58mXS0tIoXrw4devWZdmyZRgb/zOnbM8OrrRq6Ii1lZLbwSksWB3Cw9D0fPO885YtfTq64V7MlLCIDFZtecKpiwl603Zp40L/D9zZtj+SxevC/l/FW7+qKU1rmmFnpSAsKpvfj6QSFJKdZ3rfEko6N7LA3VlJfJKKA3+nc/Jyhub1T7taU9ZTtxxcC85k0dZkg2J1rPcWPl8MwK56Rcw9inG+8zDCdxzKP0/9mpSfNQbr8mVID40gaPZSHi7ZoJXGrWNzyn7zKZalS5IS9JDbE38ifPtBg2J9ZvOBE6zZdYiouAR8irsxsk9nqvmX1pv2wo27DJk6T/cYP4zHu7ir5u/E5BQWbtrFkb+vkJicgoeLE5/17MA71Sq8lpgP79nMn9t+Iy42iuKePvQY8AVlK1TTm/bOjUtsXj2XsJAHZKSn4eTiRqMWnWjxXk+tdClJiWxZu5ALZw6TnJSIi6sHXft9RpW36hkc7+5dO9i6ZTMxMTGU9PJi4KChVKxY6aX5bly/zpjRX+Dl7c28+b9o9h88sJ85P83SSb912y5MTU0NivVNLMMAnh91p9SIDzFzcyHpZiC3xswg9vSFPNOXHNiDkoN6YFGyOGmPwwiatZjQ9ds1rxsZG+PzxSCK92iPmbsryXfvcWfSbKIOnnwt8do0aoVti44Y2zuQEfqQmA3LSL97I8/0VrUaYteyI8bFPFClJpN6PYDYTStQJSdq0igsrLDv2AvL6rVRWlmTGRVO7KYVpF7N+3soqF27drJ1y++aMjxo0BAqVqz40nw3rl9n9Ogv8fL2Zv78hZr9Bw7sZ85PP+qk/2Pbjv+3ZXjvrj/YsXU9sTExeJb0pt+g4ZSvWOWl+W7duMrE0SMo6VWKWfOXa/Y/enCPDWuWERx4h8iIJ/Qb+AltO3R5bfEC9HivGC0bOGBtqeT2vVQWrQ196b1E3eq29O5QDHcXU8IiM1j9RzinA3LLcetGjrRu5IirkwkAD0LTWb8zggvXkl5r7OK/QVqkhcGWL1/O8OHDOXnyJA8fPtR5/eDBg4SFhXHs2DFsbW1p3bo19+7d07zesmVLwsLCCA4OZurUqSxcuJBRo0YV+P1fdvyVK1fSpUsXUlJS+Ouvv3Ty9+7dm88++4z27dtz5MgRLl26xIQJE9i+fTv79+/X+567d++mRYsWfPrpp8ybN09TSba1tSUsLExre/DgAYDWvjlz5uik/fnnn7l+/TqtWrWiZs2aHD9+nKtXrzJv3jxMTExQqVQF/k4K44PWLnRq4czCNSF8OvkusfFZTP/SBwvzvC8P/qUtGTvUi0OnYhk28S6HTsUydpgXfj4WOmnLlrKgVSMngh+m/r+Lt7qfCe83tmDfmXRmrE4kMCSbjztb42Cj/6GKk52CYZ2tCQzJZsbqRPadTeeDdy2oWsZEk+bX7cmMXRiv2aauSCBbpSbgdqbB8SqtLEm4cpvrn04pUHoL7xLU3LmEmJMXOFmzA4Hf/0KFn8bj1rG5Jo197apUW/cTIWu3c6JGe0LWbqf6+jnYv13Z4Hj3n77Ij6u30r9Dc9ZM/4qq/qX59PtFPImKyTff77O/5s+FUzWbp7uL5rXMrCw+nrGQsMgYvv/0Q36f9TXjP+qGi6O9wfECnD25n3XLZ9P2gw+Z/ONaypavxo/fjiA68one9Gbm5jRp3YWx05Ywfd5m2n0wgK1rF3F031ZNmqzMTH745mOiIkL5+KvvmbFgC/2GfY2DUzGD4z1+7Ci/LvmFLl17MHfeIipUqMQ3E8cTERGRb77k5GR+nD2TKlX1PyCwtLTktzUbtDZDKyDw5pVhALdOrSj33RiCZy3mVL1OxJ6+QI0tizEv4a43veeAbpSd9DmBMxZwslY77k6fT/lZE3Bp2UiTpsyET/Hs34UbX07j5NttebR8I9XWzsOmcjmD47WsWQ/HbgOI37OZ0Cmfk37nBq6fTkTp6Kw3vZlvOZwHfEriyYOETvqEyF9mYubti1PfT3ITKY1xHTkZY+diRP7yPY/HDyN61QKyYqMNjvf4sWP8umQxXbt2Y+68BVSsUJFJE78uUBmePXsWVatW1ft6Thlep7X9fy3Dfx0/xMpf59Gpax9+mLuUchUrM33SV0RGhOebLzk5iXmzp1GpanWd19LT03B186Bnv8HYOzi+ljif935LZzo2c+KXdWF8PjWI2PhMpo70xsIsn3sJHwvGDPbk8Ok4PpkcyOHTcYwZXBK/Urn3ElGxmazc8oRPpwbx6dQgrtxKYsInJSnpYfbaP8M/Ta1WF9n2ppCKtDBIcnIymzZtYujQobRt25aVK1fqpHFycsLNzY3KlSuzePFiUlJStCqoZmZmuLm54enpSY8ePejZsyfbtm0rcAz5HV+tVrNixQp69+5Njx49WLZsmVbeTZs2sXbtWtavX8+4ceOoWbMm3t7etG/fnsOHD9O4cWOd91u3bh2dOnXiu+++Y/LkyVqvGRkZ4ebmprW5uua0dD2/z87OTietnZ0dBw4cwN3dnZkzZ1KxYkVKly5Ny5YtWbp06Wv5gdanQ3NnNuyM4NSFBB6EpDP710eYmSloVNs+3zwXryeyaXckj8PS2bQ7kks3k+jQ3EUrnbmZgi8Hl+TnFY9JSsm7FfZ/Nd4mb5lx+moGp65mEB6jYsuRVGITVdSvqv8HtV4VU2ITctKFx6g4dTWD01czaFIzN31KmpqElNzN38uEjEy4eCdD7zELI3Lfce5MmsOTbQcKlN5rUDfSHoZx44vpJN0K5tHy33m0cis+Iz/UpCk1vC9RB08RNHMJybeDCZq5hKjDZ/Ae3tfgeNftOUL7RrXp0LgupYq78UWfzrg6OfD7S1rdHG2tcba31WxKRe5P4Y6jZ0hISmbWyIFU8fPB3cWRqv6lKetV3OB4AfZvX0uDpu1p2KwDHp6l6PHRFzg6u3J47+9603v5+FO7QUuKlyyNs6sHdRu1pmK1Oty5EaBJc+LQdpIT4xk+djZlylXFuZg7ZctXpWSpsgbHu+2PLTRr3pIWLVvhWbIkgwYPxdnFhT27d+abb/68OTRs1Bh/f/0VNyMjIxwcHbW21+FNK8MA3p/05fHqrTxe/TvJd4K5NWYGaSFPKDmgm970Ht3e49GKjTzZ+iep9x/zZMseHv+2BZ/PP9JKEzx7CVH7j5N6/zGPlm0g6tBJSg3vZ3C8ds3ak3jyIEknDpAZ9piYjcvIio3CplErvenNfPzIioog8dAusqIiSA+8SeKxfZh5+2rS2NRrisLKmogF00kPvEV2TCTpgTfJfHzf4Hj/+GMrzZu3oEXLVpQsWZJBg4c8LcO78s03f95cGjVqlG8ZdnR01NpehzexDO/8YxPvNm9D0xZtKVHSm/6DRuDk7ML+Pdvyzbd4/izqNWpKWX/d3j6+ZcvRZ8Aw6jVsgonJ67//ad/UiY27Izl1MYEHoen8uDwEM1MFDWvZ5Z2nmTMBN5LY/GcUj59ksPnPKC7fSqJ9UydNmnOXEzl/NYnQ8AxCwzNY/UcEaekq/H0sX/tnEEVPKtLCIBs3bsTPzw8/Pz969erFihUr8n2SZGmZcyHJzMy79czCwiLf1/Pz4vGPHDlCSkoKTZs2pXfv3mzatInExNwuOGvXrsXPz4/27dvrHMvIyAg7O+0L6oIFC+jfvz/Lli1jxIgRrxRjftzc3AgLC+P48eOv/dh638/FFEd7Ey5ey/1OMrPUXL2VRHnfvC/65XwtufhCN6ULVxMp90Kej3t78PflBC7deD1dmt6keJUK8HRVcvN+ltb+m/ez8PHQ30Xfx91Yb3ovVyWKPK7WdSqZcuFWBhmGN0gXmn3tqkQe1O7lEbn/BHY1KmL0dBiCQ+2qOt1Jow6cwKGO/pbKgsrMyuLWvUfUquyvtb9WJX+u3LmXR64cvcbNpOWwrxk6bT7nr9/Reu34hWtUKlOK71dspsWQ8XT9agYrtu0n+zX0CMnKzOR+0C0qVK2ttb9C1doE3bpSoGM8CL5F4K0r+FWsodkXcO44pf0rs2bx93zatzlfj+jCrs3LUWUb9jAoMzOTwMC7VKuu3VpUrVoNbt3Muxvvgf37eBIWRo+evfNMk5qaSv++vejbuweTJ00gKCjQoFhfVVGWYQAjExNsq1Yg6rB2DFGH/8K+lv7jK0xNyU7XfnCmSk3DrkYlTcwKM1Oy07S7qKrS0nGoXQODKI0x9SpN2vVLWrvTrl/CvLS/3izpQbcwdnDGolLOeyts7bCqUZfUK+c1aSyq1iQ9+DZOPQbj+eMqPCbPxa71+2Bk2G1qXmW4erXq3Lx5M898B/bvJywslB49e+WZJjU1lX59+9Cndy++mTTx/20ZzszMJDjwDlWq1dTaX6V6TW7fvJZnvsMH9hAeFkqXHv0MjqGw3JxNcu4lruf+1mdlqbl2O1nnvuB5/j4WBLxwf3DxelKeeRRG0KCmHeamCm4Gpbye4P9FalXRbW8KGSMtDLJs2TJ69cr5oWnZsiVJSUkcOnSIpk2b6qRNTk5m7NixKJVKrTHMzzt37hzr1q2jSZMmhY5F3/GXLVtGt27dUCqVVKhQAV9fXzZu3MhHH+U8ub979y5+fn4FOv7Nmzf55JNPtD7zi+Lj47G2ttbaV7du3Ty7iL/ogw8+YN++fTRs2BA3Nzdq165NkyZN6NOnD7a2tgU6RmE42OVcAmITtCtvcQlZFHPK+wmwg50xcXryONrlXlIa1rKjtJcFn055fTcXb1K81hZGKBVGJKRo/yIkpqiwtdJ/6bWxMiLxhfQJKSqUSiOsLYxISNZ+SOXlpqS4i5K1+4rmB9rM1Zn08CitfRkR0ShMTDB1diD9SSRmbs6kh2t3z0wPj8bMTbs3QGHFJSaTrVLhaGejtd/Jzobo+ES9eZzsbRn3UTfKlfIkIzOLPSf/Ztj0Bfzy9XCql8tpHQuJiOL8jRhavvMWc74azKMnkcxcuZksVTYDO+lvcSuoxMQ4VKpsbO21W67s7By5FhuVR64cIwe0JjE+lmxVNh26DqJhsw6a1yLDQ7h59Tx1GrTk8wk/Ex72kN+WzCRblU37rgNfOd6EhARUKhUO9g5a+x0cHLgYG6s3T0hICKtWLuP7mT+iVCr1pinh6cnnI0fh5V2KlJQUdmz/g69Gfc7c+b9QvPjrafkvqKIswwCmTvYojI3JiNCNwcxVf1fpqEMnKdHnfSJ2HSTh0g1sq1WgeO9OKExNMXVyID08kqhDJ/H+pB+xp86TEvwQp0Z1KNb6XYzy+DcpKKW1LUZKJdkJcVr7sxPiUNo56M2THnSLyKU/4jL4S4yMTTAyNiYl4CzR65do0pg4u2HsX4ykM8cI/3kKJsU8cOw5CBRK4ndtfOV4n5Vh+xfKsL2DA7Gx+oeAhISEsHLlcmbOnJVnGfb09OTzkV/grSnD2/hy1BfMm7/w/10ZTkyIR6XKxu6F79jO3pG4PL7jsJBHrF25mG9nzkep/PerIs/uJfTdF7g4mejLoskXG6+dJzY+Cwdb7c/gVdyM2WN9MDVRkJquYurChzwKy3/stXgzSUVavLLbt29z7tw5tm7NGatnbGxM165dWb58uVZFum7duigUClJSUnB3d2flypVUqpQ7Uc2uXbuwtrYmKyuLzMxM2rdvz7x5uhMC5SWv48fFxbF161ZOnsx9CturVy+WL1+uqUir1eqXTgL2TIkSJbC3t2fmzJm0atUKd3fd8Ws2NjZcvHhRa5+Fhe443LwolUpWrFjB1KlTOXz4MGfOnGHatGl8//33nDt3Tu97AqSnp5Oern2RNjPT7T7cuI49w/vm/shP+uk+ADqdCIzgZSNUXsxj9FweZ0cTBvfwYPyse2RmvvpYlzctXv1v/PJY8ntNUzr15KlbyZSQyGwePHk93eZfib4v9sX9er/81/M9G6F9/qpRk9cZ7e3hirdH7qRilcuWIjw6ljW7D2sq0mq1GgdbG8Z91A2lQkE5n5JExsbz2+7DBlek84uZl1yHxk7/lbTUVILvXGXzb/Mp5l6C2g1aamK2tXOg37DxKJRKvH3LERcTyZ/bfjOoIp0b8AvxqtV6w83OzmbWzBn06NmH4iVK5Hk4f/9yWt1ly5evwKcjhrFr5zYGD/nY8HgLq4jLsF5GRnn27gqauQgzV2dqH9oARkZkREQTsnYbPp9/hPppL4SbX02n4rwp1D+/G7VaTeq9Rzxe+wclenZ8PfEV4vswcffEsftA4nZuJPX6RZR2jjh+0A+nXkOJXjVfkz87IZ7o1QtBrSLjQRBKewdsW3Q0qCL9fHja4ev/7c/OzuaHmd/Rs2fvQpbh8owY8Qk7d25nyJBhBsdbaP+BMqzzfar1X9eys7OZ88O3dOn5IR7FPV/b++enUS07Puntofn7m7k5c9fofPqC3Q5qZ9Fz/xHyJIPhU4KwslDwTg07Rn5YgtEz70ll+n+QVKTFK1u2bBlZWVlaT1/VajUmJibEPtdasXHjRsqXL4+9vT1OTk46x2ncuDGLFi3CxMQEDw8PTEzyfhqoT17HX7duHWlpadSqVUsrPpVKxY0bNyhfvjxly5bNt3vX82xsbDh48CDNmzenUaNGHDlyBA8PD600CoUCX1/fPI5QcMWLF6d379707t2bqVOnUrZsWX755RedMdnPzJgxQ+e1SZMmAZ209p0JSODWc92LTIxzfjUcX3jKam9jTFx83n2FY+OzNE90n7GzyT1GGW8LHOxMmPdNGc3rSqURFcta0a6JM+99dJWCLE/4psX7vKRUNdkqNbZWCiC3omtjqSAxRf/BEpOfpUcrfXa2mqQ07TwmxlDD35Rdf72eSdxeRXp4lE6LhqmLI6rMTDKi43LSPInCzE27Zc2smKNOC0ph2dtYoVQoiI7Xnnk9Jj5Jp5U6P5XKePPnydwupk72thgrlVrjpr2LuxEdl0BmVhYmBsycb2Njj0KhJD5Ou2UoIT4WO3vda+PzXFxzrrOe3r7Ex0WzfcMSTUXa3sEZpdIYxXOtZ+4lShEfG01WZibGhbymPmNra4tCodBpuYuLi9Np4YOcrq53794hKCiQXxblVJCeTRzzXtuWfDt1ht7JxxQKBWXK+BEaEvJKcRqiKMswQEZ0HKqsLEyLaR/f1MWRjAj9E22p0tK59vHXXP/0G0yLOZH+JBLP/l3ISkgiIzrntzczOpaAHsNRmJli4mhPelgEZSd/QcoDw77j7KQE1NnZOq3PShs7nVbqZ+xadyY98CYJ+/7Iie3xA6LT03Af8x1x29aSHR9LdnxszkOA5/p0ZoY9xtjeEZTGkJ2l99gvk1uGtXtQxOdbhu8SFBTEokULgNwy3K5ta6ZOnU4VPZOPKRQKypYpS2hI6CvFaYiiLsM2tnYoFEqd1uf4+Fi933FaagpBd29xL+guyxbNAUCtVqFWq+nSrjETps6iUhUDhyC84OylRG7fC9L8/exewsFW917ixR5vz9N3L2Fvq9vjLStbTVhEzvCLwAdplPW2oH1TJ+b/9u+XD0Oo3qBJv4qKVKTFK8nKymL16tXMnj2b5s2ba73WuXNn1q5dS9u2bYGcLlClS+tfjgbAysrKoMpnXsdftmwZX3zxBf369dPaP2LECJYvX86sWbPo0aMH3bp1Y/v27TrjpNVqNQkJCVrjpB0cHDh48CAtWrTQVKb/6W5cDg4OuLu7k5yc99JGY8eOZeTIkVr7zMzM6DD4tta+1DQVqWnaY+ti4jKpVsGGoIdpABgrjajkb83yTXkv+3QzMIXqFazZtj/3R7h6RWtuBuZUei/dSGLIeO33HjnAk0dP0tm8O6LAldI3Ld7nZavgUXg2/t7GXA7MreT7extzJVB/pT84LItKpbUrPeW8jXkQns2LQ3Rr+JlirIS/bxTB4Oin4s5colgb7Qn5XJrVI/7CNdRZOTcWsWcu4dzkHe79vEqTxrlpPWJPB2AIE2Nj/Et5cvbqbRrXzF1i5dy1WzSo8fKlmZ65ff8xzva5wyaqlPVh36kLqFQqFE8r0w/DInC2tzWoEg1gbGKCd2l/rl86S43aud/bjUtnqVpL/3AXvdTa80z4+lfhzPG9WjE/CX2IvYPzK1eiAUxMTPD1LcOlgIvUrZu7jNalgIvUql1HJ72lpSXzFy7W2rdn906uXL7EmHETcHNz0/9x1GruBQfh5V1K7+v/pKIswwDqzEwSLl3H+d26ROzKXYrIuXFdInYfzj9vVhbpoTmzIrt3bk3EvqM6LYyq9AzSwyIwMjbGtX0znmzdq+dIhZCdRcaDIMzLVyEl4Ixmt3n5qqRcOqs3i5GpGToXMM3fORWatMCbWNdqoNVKauzqQVZczCtXoiG3DAcEBFC37jua/QEBAdSuXVsnvaWlJQsW/qK1b/fuXVy5fImx477OtwwHBwfh/f+wDJuYmODjW5YrAeepVbeBZv+VgPPUrK27/J6FpRU/LliptW/f7m1cvXKRUWOnUMxNf887Q6Smq0iN0HcvYU3wo9x7iYp+Vqz4Xf8KCgC3glOpWt6abQdyH3JVK597L5Eno9zKu/jfIhVp8Up27dpFbGwsAwYM0JmQ6/3332fZsmWainRRuHTpEhcvXmTt2rX4+2tPgNK9e3fGjx/PjBkz6NKlC3/88Qfdu3dnwoQJNGvWDBcXF65evcpPP/3E8OHD6dChg1Z+Ozs79u/fT8uWLTWV6RJPu4Cp1WqePNG9CBcrVkxzg5ufxYsXc+nSJTp27Ejp0qVJS0tj9erVXL9+Pd/u7mZmZnq7chfEtv1RdG1XjNDwdELC0+nathjp6SqOnonTpPlioCfRsZmsfPoDs/1AFD+MLc0HrV04HZBAnWq2VCtvw6jpOeOLU9NUPAjR7sKUlqEiMSlLZ///cryHzqfTt7UlD59kExyaRb3KpjjaKDh5OeeY79U3x95aweo/c36ET17OoGE1Mzo1MuevKxn4eBhTp5IpK3bp/kjXqWTK5cBMktNe3xNjpZUlVr4lNX9bliqBbRV/MmLiSXsUht/UkZgXd+Vy/9EAPFiyAa9hPSn3wxgeLduEfe1qePbvTECvLzTHuD9/NbUPr8Fn1EDCdx7CtV0TnJvU4XSjHgbH26N1YyYt/I3yPp5UKlOKPw6f4klULJ2b5Ny8zd+wg8iYeCYPy5n0at2fR/BwdsKnhBuZ2dn8efJvDp+7zPefDdAcs3Ozemzaf5zZq7fSpUUDHj2JZOX2A3Rt2UBvDIXVvH1Pfp0zEW/fcvj6VebY/q1ERz2hcYvOAGz+bT5x0REM/Cxn6ZtDezbh5OyGWwlvAO7evMTe7b/RpE1XzTEbt+zMod0bWbd0Fk3bdCU87BG7f19B07Zddd6/sDp07MyPs2fiW6Ys5fzLs3fvbiIjI2jdOuf6vnLFMqKjo/li1FcoFAqdioSdnT0mpqZa+9et/Q0//3IU9yieM750xzaCg4MYMuwTDPWmleGc46+i8pLviL94jbhzl/Ds3wXzEu48XJ7TpbnspM8x83Dl6uAxOZ/J1xu7GpWIP38FE3tbvD/ph3X5MlwdMkZzTLu3KmPu7krC1ZuYu7viO/ZjjIwU3Pt5md4YCiP+wHZcBnxGxv1A0oNvY92gBcaOziQezamk23fqjbG9E1HL5wCQevlvnPp8jE2jlqReC0Bp74Bj149ID75DdnxOK2bi0b3YNmmLY7ePSDi8G5Ni7ti3+YCEQ/nPrF0QHTt2YvbsHyhTpgz+/uXYu/fPp2W4DQArVyx/Woa/fFqGvbXy29vZPS3DufvXrV2Dn78/Hk/L8M4d2wkODmbo/9My3K5jF+bNnoZPGT/8/CtwYO9OoiIjaN46p4Fi7crFREdHMeKL8SgUCkp6+2jlt7W3x9TEVGt/ZmYmjx/eByArK5OY6CjuBd3F3MICd4+8u90X1PaD0XRp7UJoeDqh4Rl0aeNCeoaKY2fjNWlGflic6LgsVm3NeWC142AU33/lw/stnTlzKYHaVW2pWs6ar74P1uTp09GVC9cSiYzJxMJcQcO37ajkZ8XEOfcNjvnf9iYtQ1VUpCItXsmyZcto2rSpTiUaclqkp0+fTkxM/mu5/pOWLVtG+fLldSrRAB06dGDo0KHs3LmTTp06sW7dOpYsWcLy5cuZOnUqxsbGlClThj59+tCiRQu9x7e1tWXfvn20atVKU5mGnIlN9I1jDgsLy/NJ9vPefvttTp48yZAhQwgNDcXa2poKFSqwbdu2PCdoM9TmPZGYmir4uE9xrK2U3A5KYfysYFLTclsQijmZaF1Qbwam8N2ih/Tp7ErvTq6ERWQwY9EDbgf/892M36R4L97OxMoilVZ1zLG1MiIsKpuFW5OISciJzc5KgYNt7gOW6HgVC7ck0bmxBQ2qmhGfrGLz4VQu3dVudS7moMC3hDHzNr+e2dCfsatRkTqHftP8XX7WOAAerd7KlQFjMXN3wcIzt3yn3n/M3+0GUX72WLyG9iQ9NILrn0/jyR+5k+vFng4goOdI/CZ/ht/kEaQEPSKgx+fEnSvYLNX5aV6nOvFJySzduo+ouHhKl3BnzldDcHfJmcwrKi6BJ9G5XTqzsrL5ed02ImPiMTM1waeEG3O+HMw71XKXXnFzcmDemGH8tGYrPcZ8h4uDHd1aNqTPe7oTKL6KWvWak5wQz46NS4mPjaJ4ydJ8PuFnnIvlfK/xMVFaa0qrVSp+XzOfyPBQlEolLm4leL/3cBq1yB224eTixhffzGf98h+Z8Fl3HBxdaNa2G607Gb60TYOGjUhMTGDDurXExMTg5e3FN5OnUuzpsn6xsTFERua/Hu+LkpOTmD93DrGxsVhZWeJT2pfvZs7Gz0//rM+F8aaVYYAnW//ExNEe39HDMHNzIfHGXS68P4S0RzndQM3cXLB4bk1pI4WCUp/0w6pMKVSZWcScOMvZpt1JfZjbbVRhZkaZCSOw8PYkOzmFyP3HuTJoNFl5TMRXGCl/nyTGygb7dl1R2jmSEfqA8J+nkB0TCYCxnQPGTrndiJNOHcbI3AKbxm1w+OBDVKnJpN26Quzvua2j2bFRhP84CceuAyj+zc9kxUaTcHAn8X9u1Xn/wmrQsCEJiQmsX7eWmJhYvLy9mDz5W00ZjnmFMpyUnMy8uXM1Zbh06dJ8P/OHAk9emp83sQy/06AJiQkJ/L5+FbEx0ZT0KsW4yd/jUiznvic2JpqoyPzXlH5RbEwUX47Ifci5Y+sGdmzdQPlKVZny3VyDY/59bxSmpgqG9fTIuZcITmXCj/dJTc+9l3BxMtXq5HEzKJXvlzyidwdXenUoxpPIDL5f8ojb93LvJRxsjfliQAkc7YxJTlVx/3EaE+fc59KNvHsVijeXkVoeNwjxP6tVv9fzI/lv+HNl5Tcu3o9nxRV1GIWyYJQ9u00Mv9H7t7TJvE3ChX1FHUaB2dZowambhldU/i11y9lwN+hBUYdRKGVKe71xZXivrf51iP+LWibc5P5HustB/pd5L91OYFD+S979l/iWLvXGleGrgYWrBBelSr6utPko72W3/ot2L61Y1CHo9fn81/uwvjB++sT65Yn+A2QdaSGEEEIIIYQQohCkIi3+s4YMGYK1tbXebciQIUUdnhBCCCGEEOL/KRkjLf6zpkyZwqhRo/S+Zmtrq3e/EEIIIYQQwjAy+PflpCIt/rOKFStGsWLFijoMIYQQQgghhNAiFWkhhBBCCCGEEBpqlTRJv4yMkRZCCCGEEEIIIQpBKtJCCCGEEEIIIUQhSNduIYQQQgghhBAaKplt7KWkRVoIIYQQQgghhCgEaZEWQgghhBBCCKEhk429nLRICyGEEEIIIYQQhSAt0kIIIYQQQgghNKRF+uWkRVoIIYQQQgghhCgEqUgLIYQQQgghhBCFIF27hRBCCCGEEEJoSM/ul5MWaSGEEEIIIYQQohCkRVoIIYQQQgghhIZMNvZyRmq1Wr4lIYQQQgghhBAADPk+tsje+5fRDkX23oUhLdJC/A9r3OVsUYdQYEc21aJ574CiDqPA9v9WjRZ9LxV1GIWyb1VVjl9PLuowCqxBBSvW//XmPOvt/o4RcQGHizqMArOv9i7dv3pY1GEUyvqZJbkaGF7UYRRYJV9XTt54c865euWt+GVfUUdROENaQI8xj4s6jAJb912JN64M7zbxK+owCqxN5m2G/hBX1GEUyqIv7Ys6BPGKpCIthBBCCCGEEEJDOi2/nEw2JoQQQgghhBBCFIK0SAshhBBCCCGE0FDJZGMvJS3SQgghhBBCCCFEIUiLtBBCCCGEEEIIDRkj/XLSIi2EEEIIIYQQQhSCVKSFEEIIIYQQQohCkK7dQgghhBBCCCE01DLZ2EtJi7QQQgghhBBCCFEI0iIthBBCCCGEEEJDWqRfTlqkhRBCCCGEEEKIQpCKtBBCCCGEEEIIUQjStVsIIYQQQgghhIZK1pF+KWmRFkIIIYQQQgghCkFapN8A/fr1Y9WqVQAYGxvj6OhI5cqV6d69O/369UOhyHke4u3tzYMHDzh9+jS1a9fW5P/ss8+4dOkSR48eBSA5OZkpU6awefNmQkNDsbGxoUKFCowaNYq2bdsWKKbr168zefJkjhw5QkJCAiVLlqRbt26MHTsWS0tLTTojIyP++OMPOnTooJX/xZie/4zPa9GiBXv37tX6fADm5uZ4eXkxYMAARo0axd27d6latSpLly6lR48emvwqlYp69erh6urKH3/8kefnMTIyyvfz9u3bl5UrV+p8nmf5XvzO09PT8fDwICYmhiNHjtCoUaN832f9+vV069YNgMWLF7Nw4UICAwMxMTGhVKlSdOvWjdGjR+cboyH6flCctk2KYWNtzM27Sfy87D73H6fmm6dBLQf6d/XEw9WM0PB0lq1/xMm/Y3M/0/yquBUz08m3bV84Py+7b1C8vTu60bqxM9ZWSm4FJTN/1WMehKTlm6feW3b0fd8d92JmhEWks3JzGH9diNc6Zu9O7lp5YuIy6Tb8mkGxAvTq4EbrRk5P401hwW8Fi7dPJ3fci5kSFpHByi1hnHou3l4d3Ojd0U0n3u6fXjco1iN/bmLf9tXEx0bh4elD1w9HUbZ8db1p794MYMvquTwJuU9GRhpOLu40aN6JZu16adL8dXgHK+d/o5N34YbTmJjqlo/COnd4Haf2LiMxLpJixX1p2X0cXmXf0pv2xoX9nD+ygScPb5KVlUGx4r40av8JvhXra6VLTUng8JY53Lx4gNTkeBxcStC862jKVm5ocLwAv+8/xpqdB4iOi6dUCXc+7/MB1cqV0Zv2wvU7DPv2J539G2dPwrt4zr//rqOn+faX1Tppjq+ei5mpicHxNqtjTduGttjbKHkcnsnqHbHcvp+eZ/pyPmb0autACVcTYhOy2XUsgYNnkjSvl3A14f3mdvgUN8XF0ZjVO2L582SiwXE+s3fXH+zYup7YmBg8S3rTb9Bwyles8tJ8t25cZeLoEZT0KsWs+cs1+x89uMeGNcsIDrxDZMQT+g38hLYdury2eAEO/7mJfdtWExcbRXFPH7oNyOe8uxHA77/NJexx7nnXsHknmr/XSytdSnIiW9fM5+LZIyQnJeBSzIMu/UdSuUY9g+O9fGIt5w8tIzkhEie3MjTsPI4SpfWfd3cv7+fKyfVEPr5JdlYGTu5lqN3qE7zL5Z53V09t4sa5bUSH3QWgmGcF6rUbiZtXZYNjBWha24q2DWywt1ESEp7J6l1x3L6fkWd6/1Km9G5jT3FXE+ISstl5PJFDZ5M1rzeuaUX96pZ4uuWcX/ceZ7BxXzxBjzNfS7xvUhl2rPcWPl8MwK56Rcw9inG+8zDCdxzKP0/9mpSfNQbr8mVID40gaPZSHi7ZoJXGrWNzyn7zKZalS5IS9JDbE38ifPvB1xIzQIOqpjSraYadtYKwqGw2H04lMCQ7z/RlSih5v7EF7s5K4pNU7D+XzonLuWXo867WlC2pW626GpTJwq3JOvvfBDLZ2MtJRfoN0bJlS1asWEF2djbh4eHs3buXTz/9lN9//50dO3ZgbJzzT2lubs7o0aM5duxYnscaMmQI586dY/78+ZQvX57o6GhOnTpFdHR0gWI5c+YMTZs2pWnTpuzevRtXV1fOnTvHF198weHDhzly5Aimpqav/BmfZ2amfaM9ZcoUBg4cSFpaGgcPHmTo0KHY2toyePBgvvvuO4YPH07jxo1xd8+pEM2ePZvAwEC2bduW73uHhYVp/n/jxo1MnDiR27dva/ZZWFjkmdfT05MVK1ZoVaT/+OMPrK2tiYmJ0Um/YsUKWrZsqbXP3t4egGXLljFy5Ejmzp1Lw4YNSU9P58qVK9y4cSPf+A3Rrb07H7Rx5/uFQTwKS6N3p+L88LU/fT67TGqaSm+e8mWsmfhZGZZvfMyJczHUf9uRSZ/7MmLiDW4G5vxgDBl7DYUi98FBqZIWzJ5QjqOnC1bO8tKlTTE6tSrGrCUPCHmSTo/2bnw32pcPv7qRZ7zlfC0Z/0kpVm0J46/zcbzzlj3jPynFyKl3uBWUokl3/3Eqo78L1Pyt0n+4wsXbuhidWrow+9eHPH6STo/3XJnxZWkGjLmZd7ylLRk3zJtVW3Mqz3Vr2DF+mDcjp93ldrB2vGNmBj0Xr2E/en+f3MfGFbPoOXAsvuWqcGzfFuZOHc7kn3/HycVdJ72ZmQWNW3elhFcZzMwtCLwZwG+/TMPMzIIGzTtr0llYWvPtvK1aeV9HJfrauT3sXT+DNr0nUtK3OuePbmTNT4P4eOou7J08dNI/uH0enwp1adL5c8wtbQg4uZV1Pw9j4NcbcfcqD0BWVga/zfoQK1snugz7GVsHV+JjnmBmbmVwvAAHTp3np1Wb+WpANyr7leaPgyf4/LsFbJg9ETdnxzzzbf7xG6wszTV/29vaaL1uZWHO5p++0dr3OirRtatY0qedA8u3xXD7fjpNa1kzZoALo2aHER2ne9Pp4qDkqw9dOHI2iQUbovDzNuPDDo4kJGVz7lrOwzlTEyMiYrI4eyWF3u0cDI7xeX8dP8TKX+fx0bCR+JeryIG9O5g+6St+WrQal2KueeZLTk5i3uxpVKpanfjYWK3X0tPTcHXzoE69xqz8dd5rjRfg3Ml9bFg+i16DxuLrX4Vj+7cw59vhfDtX/3lnam7Bu8+dd3dvBLD6l2mYmVvQ8Ol5l5WZyexvhmJj58jQL2fi4FSM2KhwzC0ML8e3L+7h6NYZvPvBJDx8qnP1rw1sWzSQPuN2Y+uoe96FBP5NSb+6vNP2c8wsbLl+divblwyl+8hNFPPMOe8e3z2Lf402uJeqjrGJKecPLmXrwg/pM3Y31vZ5/7sVRO3KFvRpa8/y7bHcuZ9Bk1pWjO7vzJc/hhMdn0cZ7u/MkXPJLNgYQ1lvUz5s70BCsoq/n5bh8j5mnLqcwt0dGWRmqWnb0IYxA1z46qcnxCYY9sPxppVhpZUlCVdu83jVVmpsnv/S9BbeJai5cwmPlm3mUt8vcahbnYrzJpERGcOTP/YDYF+7KtXW/cSdST/zZPtB3No3pfr6OZxu1IO4c1cMjrmGnwkfvGvBhgOpBIVkUb+KGR+/b82U5QnEJur+jjrZKfi4szV/Xclgxe4UShc3plszC5JS1QTcyXl4snh7MsbK3DxW5kaM72fDxduv5+GK+G+Srt1vCDMzM9zc3ChevDjVq1dn3LhxbN++nT///JOVK1dq0g0ePJgzZ86wZ8+ePI+1c+dOxo0bR+vWrfH29qZGjRoMHz6cvn37vjQOtVrNgAEDKFeuHFu3buXtt9/Gy8uLDz74gJ07d3L69Gl++km39aQwn/H5zcFB+ybLxsYGNzc3vL29+eijj6hcuTL79+dceIcPH07VqlUZOHAgALdu3WLixIksWbKEYsWK5fvez7+nnZ0dRkZGOvvy0rdvXzZs2EBqam4L7vLly/P8Pu3t7XU+p7l5zg3yzp076dKlCwMGDMDX15cKFSrQvXt3vv3225d/ga/o/dZurPkjhBPnYrn/KJXvFgRhbqagaT3nvPO0ceP8lXjWbQvlUWga67aFcvFaAp3b5LaQxidmERufqdnqVLcn5Ekal28Y1vLUsWUx1m9/wl/n47n/OI0fFj/AzNSId+vkfUPesUUxLl5LZMPOcB6FpbNhZzgBNxLp2EK7XGRnq4mNz9Js8YlZBsUK0KGFCxt2hPPXhXgehKQx69eHmJkqaFw7v3hduHg9kY27IngUls7GXRFcupFIxxYuL8TLC/Hm/TS9IA7sXEu9Jh2o36wj7iV86DbgSxycXDm273e96Uv6+FOrfkuKlyyNczEPajdsQ4Wqdbh7M0AnrZ2Ds9b2Opzet5Lq9TtTo8EHuHiUplWPcdg5unH+yHq96Vv1GEe9Vh9RvFQlnFy9adp5JE6uXty+fESTJuDEVlKT4+n2yXxKlqmOvXNxvMrWwK2k/2uJef3uQ7zXuC7t361HqeLujOzbBVcnB7YcOJ5vPgc7G5zs7TSbUqH9821kZKT1upN93teswmhT34Yjfydx5FwyoRFZrN4ZR3RcNs1qW+tN37S2DdGx2azeGUdoRBZHziVz9HwSbRraatIEP85g3e44Tl9OISvr9bZ47PxjE+82b0PTFm0pUdKb/oNG4OTswv492/LNt3j+LOo1akpZ/wo6r/mWLUefAcOo17AJJiaFf0j8Mvt3rKV+kw40aNYRD08fug/4EkcnV47u1X/eeb1w3tVp1IaKVetw50bueXfy0HaSExP4ZMxsypSrinMxD8qUr4ZnqbIGx3vxyAoq1u5Mpbof4ORWmkadx2Pj4MaVk/rPu0adx1Oz6UDcvCrjUMybeu1GYu/iRfC1w5o0rfrOpkr9nhQrUQ5H19I07T4VtUrFwzunDY63dT0bjp5P5ujfKYRGZvHbrnii47NpWlv/Q4UmtayJjsvmt13xhEZmcfTvFI6eT6Zt/dwyv2BjDAfPJPMgLJPQyCx+3RKLkRFU9DXXe8zCeNPKcOS+49yZNIcn2w4UKL3XoG6kPQzjxhfTSboVzKPlv/No5VZ8Rn6oSVNqeF+iDp4iaOYSkm8HEzRzCVGHz+A9/OX3qQXR5C0zTl3N4K+rGTyJUbH5SCqxiSoaVNX/gLd+FVNiEnPSPYlR8dfVDE5dzaBpzdz0KWlqEpJzt3LeJmRkwsU7efd8+K9Tq9VFtr0ppCL9Bnv33XepUqUKW7fmtvR4e3szZMgQxo4diyqP5jQ3Nzf27NlDYmLhKzSXLl3ixo0bjBw5UtOl/JkqVarQtGlT1q/X/2P6OqnVao4ePcrNmzcxMclpdTEyMmLFihWcOHGCX3/9lX79+tG1a1edbuWvW40aNShVqhRbtmwB4NGjRxw/fpzevXsX+lhubm6cOXNG04X9n+ZezAwnB1POX87tMpyZpebyjUQq+Om/UQYoX9aa81fitfb9fTmeCmVt9KY3VhrRrL4zfx6JNCheNxdTnOxNuHAtt+xmZqm5ciuJ8mXybmkp72vFhWsJWvsuXE3QyVPczYz1cyuy+sfyjPvYGzcXw2448or36u384y3na6WVB+D8tUTK+74Yrynr5lRg1axyjB3qZVC8WZmZPAi6SfkqtbX2V6hah6Bblwt0jIfBtwi6fYWy5Wto7U9PS2X0oNZ8+VFL5k4bwcPgW68cpyberAxCH1yndIV3tPaXrvAOjwJ1K/L6qFQq0tOSsbDKrXTevnSYEqWrsnvNFH747B0WTGjH8V2/oFIZ9pACIDMri1v3HlKrcnmt/W9XLsfVO8H55u09Zjqth4zm42/ncP76bZ3XU9PSaf/JeNoOG8vI7xdw+94jg+NVKqFUcVOu3NEehnDlbhplvfXfcJbxMuXKXe30l2+n4VPCFOU/fMeRmZlJcOAdqlSrqbW/SvWa3L6Z9xCNwwf2EB4WSpce/f7ZAPV4dt5VqKp93pWvWofAAp53D4JvEXj7Cn4Vcs+7S38fo7RfJdYu+Y7P+zVlwogP2P37MlTZhpXj7KwMwh9dx8tfu3t4Sf93CL1XsPNOrVKRmZ6MuZV9nmmyMlLJVmVhbmnYA6GcMmyiUyav3k2jrFfeZfjqXd0yXyqfMmxmYoSx0oikFMNao9/EMlxY9rWrEnnwL619kftPYFejIkZPe1c61K5K1MGTWmmiDpzAoU41g99fqYCSbkpu3Nd+UH7zfhY+xfV31PXxMObmC+lv3M/Cy1WJIo8yUbeSKedvZZAhDdL/06Qi/Ybz9/fn/v37Wvu+/vpr7t27x9q1a/XmWbJkCadOncLJyYmaNWvy+eef89dff+lN+6I7d+4AULzdboIAAL5uSURBVK5cOb2vlytXTpOmsHbt2oW1tbXW9mJL7OjRo7G2tsbMzIzGjRujVqsZMWKE5vWSJUsyZ84chgwZQmhoKD///PMrxVJY/fv3Z/nynPFIK1asoHXr1ri4uOhN2717d53PGRyccxM9adIk7O3t8fb2xs/Pj379+rFp06Y8H4oYytE+5yFEbLz2lT42PhNHu7y7hTramxAb90KeuEzN8V5U720HrK2M2XvUsIp0XvHGJWThkE+8DvbGxMZr/wjGxmfhYJf7o3krKIWZvzxg7MxAflr2CAc7Y+ZMLIuNtfLFwxU83qfHj0144btKyNR6b5147YyJe/EzxmvnuRWczA9LHjJuVhBzlj/Cwc6En74ug43Vq8WblBiHSpWNrb2T1n4bO0fi4/Lvjv/lRy0Z2qUWU7/qReOWXajfrKPmNbfi3vQf/g2fjJ3DwJHTMTEx4/txHxIe+vCV4nwmJTEWtSobKzvteK1snUiKjyrQMU7vW0FmegoVarbS7IuNfMSN8/tQq1T0/GwxDdoO4fS+FRzf9YtB8QLEJSSRrVLhaKf9wMnJzobouHi9eZwdbBk7sCffjRzE9yMH4+XhyidTfybg5l1NGq/irkwY2ocfvhzKt8M/xNTEhIGTfuBhWIRB8dpaKVEqjYhP0q58xSdmY2ejv5zZ2yh1ekbEJ2VjrDTCxuqfveVITIhHpcrGzl67t4edvSNxsbrDbADCQh6xduViPv1yAkrlvz/aLTGP887O/uXn3aiPWjL4g1p8+2Uv3m3VhQbPnXeR4SGcP30IlUrFpxPm0vaDj9i3fQ27fl9mULypyTnnnaXNC+edjTMpiQW7vl84spzM9FTKVmuVZ5qTO2ZjbedKSb+6BsVrY6nIKcOJ2r+h8Ykq7Gz0l0d7a4Xe9PmV4W6t7IiJz+ZaYP5zX7zMm1iGC8vM1Zn0cO1rdEZENAoTE0ydcz63mZsz6eHa5T89PBozN/33VYVhbWGEUmFEYrL2v3Fisgo7K/3z2Nha6U+vVBphbaGbx8tNSXEXJX9deXNbo0XB/PfPOJEvtVqtM4GVi4sLo0aNYuLEiXTt2lUnT4MGDQgODubMmTP89ddfHD58mJ9//pnJkyczYcIEg+N5lfHRAI0bN2bRokVa+xwdtccMfvnll/Tr14/IyEjGjx/Pu+++S9262j+0/fv3Z8KECYwYMSLfLtmvU69evRgzZgzBwcGsXLmSuXPn5pn2p59+omnTplr7PD09AXB3d+f06dNcu3aNY8eOcerUKfr27cvSpUvZu3evTi+AZ9LT00lP157858Xx5QBN6zkxclApzd9jZ+S0bOn0ojGCl3Ws0clipGfnU60bu3D2UhzRsYV7NPtuXQc+7e+p+fvr2cH63zzvt859/YUEL8b795XcFuv7j9O4GZjMylnlaV7PkS17C3aD2LiOA5/2K6H5e8KP+uM1KsAXrPOykXae81dyW6zvAzcCg1n5Qzma1XNk675Xf2ChOx+e7jXmRV9NW0Z6WgrBd66y9bd5uLh7Uqt+zjwApf0qU9ovd8IgX/+qfDuqB4f3bKD7R1+9cpyaeHkhNrXeD6Hj6pldHN0+n27DF2Btm1spUKtVWNk60a7fFBQKJR7eFUmMi+DU3uU0eu9jg+MF3UkH1Xr2PePl4YaXR+6QiUplfQiPjmXtrgOaCcoqlfGhUhkfTZoqfqXpM3YGm/cd4Yt+ur8Bhabn3ClMz7tnn+zf6q2n812q1XrLRHZ2NnN++JYuPT/Eo7inzutFSd9v+4tGPz3vgm5fZctv8yj23HmnVqmwtXOk79CvUSiVeJcuT1xMJPu2r+a9roMMD/DFMqxWw4vnoh63Luzi9J/zeW/gQp3K+DN/H/yVWxd388Hw1RibGD6Xgl75/F6h56VnH1dfGW7bwJq6VSz5dkkkmYaPBnr6fm9+Gc6X3h/kF/brS/MaLyK6v7H5H15f+ry8U9mUkMhsHjwxvCdTUTJ03pX/D6Qi/Ya7efMmpUqV0tk/cuRIFi5cyMKFC/XmMzExoX79+tSvX58xY8YwdepUpkyZwujRo/OtCJcpk3PjduPGDapWrarz+q1btyhbNncMlo2NDfHxui0tcXFxOpVcKysrfH1983xvAGdnZ3x9ffH19WXLli34+vpSu3ZtnYqpsbGxZgK2f4OTkxNt27ZlwIABpKWl0apVqzy7zru5ub30c1asWJGKFSvy8ccfc/LkSerXr8+xY8do3Lix3vQzZsxg8uTJWvsmTZoEaD/x/+t8LDfu5s6ea2qSUzF3tDch5rkWZgdbE51W3+fF6Gl9trczIUZPHldnU6pXtmPSrLs6r73M6Yvx3ArMne3S5Gm8DvYmxDzXwmxvq9uC+7zYuCwc7bXLg72tMbEJed/1pKWruP84FQ+3gt/InQmI53aQnnjtdOPN771zWstf+H5fkic9Q8X9x2kUL0S8z7O2sUehUBIfq90KkBgfi61d3pNgAbi4FgeghFcZEuJi2LlxseaG/kUKhYJSvhWICDOsRdrSxgEjhVKn9Tk5MVqrYqzPtXN72L7ya7oMnUPpCtoP4mzsXFAoTVAocltcXdxLkxQfSVZWBsbGr9593t7WGqVCQXSc9jCDmPhEHO1s88ilq2KZUuw9cS7P1xUKBeVLe/HIwBbphORssrPVOq3PttZKEpL03yDG6WmttrVWkpWtNrjb68vY2NqhUCh1Wu7i42Oxf6GFDyAtNYWgu7e4F3SXZYvmADkPUtRqNV3aNWbC1FlUqlJDJ99rjfnpeZfwQutzQmHPu/gYtm/IPe/sHJxRGhujUOb+W3iUKEV8bBRZmZkYm7zaRHQWVjnnXUqC9nmXkhSNpU3+cx/cvriHA+vG0+bDn/HKo6X5/KFl/H1gMZ0+XoFLccPnJUhMUT0tw9oPoe2sFcQn6S+PcUkq7F9Ib2ut0FuG29S3pn1jW6YvjeTRE8P78L6JZbiw0sOjdFqWTV0cUWVmkhEdl5PmSRRmbtrlyayYo05L9qtISlWTrVJja6UAcq9jNpYKElL0VxwTkp+lRyt9draapFTtPCbG8Ja/KTtP5r/yifjfIF2732CHDx/m6tWrdO7cWec1a2trJkyYwLRp00hISNCTW1v58uXJysoiLS3/bknVqlXD39+fn376Sae78eXLlzl48CD9+vXT7PP39+fvv//WSqdWq7lw4QJ+fn4vjSs/Dg4ODB8+nFGjRv0nJib48MMPOXr0KH369EGpfPXuwC8qXz5nPGVyct7LJ4wdO5b4+HitbezYsTrpUtNUhIana7b7j1OJjs3grcq5DzWMlUZUKW/D9dtJOvmfuXEniRqVtB+EvFXZjut3dB8etGzsQlx8Jqcvxuq89jKpaSpCIzI024OQNKLjMqleMbdrrLHSiMr+1ty4m/f3cyMwWSsPQI2KtvnmMTE2wtPDnJi4gjcxFDTeSn75x3szMJnqFV6M14YbgS+L10zrgUhhGJuY4FW6HDcvn9Xaf+PyGUr7v3zZFQ21mqzMvLuzqdVqHt67bfCEY8bGpnh4VSDoximt/UHXT+Hpm/c4uqtndrFt2Vg6D5pF2SqNdF73LFOdmIgHWte36PD7WNu5GFSJBjAxNsa/VEnOXb2ptf/c1ZtUKuuTRy5dt+89wskh74q3Wq3mzv3HODkY1iMnOxvuhWRQuYz2BEqVyphzJ4/lr+4+yKDSC+krlzUn+HEG2f9sPRoTExN8fMtyJeC81v4rAefxK1dRJ72FpRU/LljJrHnLNFvzVu3xKFGSWfOWUcavvE6e1+3ZeXddz3nna8B551uuChFhj7TK8ZPQB9g5OL9yJRpAaWyKq2cFHtzWHg728NYpPErlfd7durCLfWvH0KrvbHwqNNKb5vyhpZzdt5COQ5biVrLSK8f4vJwynEmlFyYBq+hrzp0HeZfhFycNq1zGnHsvlOG2Dazp2MSW75dHcS/k9QyEfRPLcGHFnbmEcxPtBykuzeoRf+Ea6qyc39vYM5dwbqI9/4Vz03rEni7YOPz8ZKvg4ZNsynlpP1wv52VMcIj+3/vg0Cyd9OW9jXkQnq2zukcNP1OMlXDuxps/OFqtUhfZ9qaQFuk3RHp6Ok+ePNFa/mrGjBm0bduWPn366M0zaNAgfvrpJ9avX0+tWrU0+xs1akT37t156623cHJy4saNG4wbN47GjRtja5t/q4iRkRFLly6lefPmdO7cmbFjx+Lm5sbZs2f54osvaNGiBYMHD9akHzVqFH379sXf35/mzZuTmprKkiVLCAoK4uOPtbtJPvuMzzM2NsbZOe8b7o8//pjvv/+eLVu28P777+cb+z+tZcuWREZGvvQ7jIuL0/mcNjY2WFlZMXToUDw8PHj33XcpUaIEYWFhTJ06FRcXF+rUqZPnMc3MzPR25S6I3/c8oWdHDx6HpfH4SRq9OnqQlq7i4MncJ79jP/YhMiaTpetzJjDasucJP08uT7f27vz1dyzv1HSgRiVbRkzUXqbLyAhaNnJh37Go17KUFMAfeyPo3s6V0CfphISn062dK+kZag6fzq2ofznYi+jYDJZvylnWbNv+SGaPL0OXNsU4fTGeOtXtqFbBhpFTc8fzD+zuwZmABCKjM7C3NaZHezcsLZQcOGHYcl3b9kXSra0rIeHphDxJp3s7V9IzVBw581y8g0oSFZvJis258c4aV4YurYtxOiCeOtXsqFbehpHTclv1B3bz4ExAPBHRmTnxvueaE+9J/ePoCqJZu54smzsBL99ylParzPH9W4mJeqJZUmfrmnnERkcw4NOcuQuO/LkRR2c33Irn9IoJvBnA/h2/0bh1bnfiHRsX41O2Eq7uJUlNTebw7vU8vn+HnoPGvHKcz9Rp0Y+tv47Gw7sinqWrcuHYJuJjwnirUc6a7Ad/n01CbASdBn4P5FSi/1g2hpbdx1GidBUS43O6wJuYmGNumfPgombj7pw7uIa966fxdpNexIQ/4MTuxdRqUvjJA/Xp3qYJ3yxYib+PF5XKlmLbwZOER8XSqWnOmroL1m8jMiaObz7uB8D6PYfwcHGiVAkPsrKy+PPkOY6cC+C7kbndc5f+vouKZXzwdHMhOTWNjXuPcOfBI778sJvB8e4+kcjHXZ0IfpzBnYfpNKlljbO9UrMudLeWdjjYGbNoY855cvBMIs3fsaZXW3sOn0uibEkzGte0Zt663OuJUgkliuVU5oyNwcFOiZe7CWkZasKjDesb265jF+bNnoZPGT/8/CtwYO9OoiIjaN66PQBrVy4mOjqKEV+MR6FQUNJb+wGGrb09piamWvszMzN5/PA+AFlZmcRER3Ev6C7mFha4e5TAUM3f68nSnyfgXfrpeXfg6XnXIue82/LbPGJjIvjo6Xl3eM9GHF3ccH963t29GcC+7b/x7nPnXeOWH3Bo90bWL/uBJq27ER72kD1bltOkjeFlonrj/uz97StcPSviXqoaV09tJDE2jMr1co59csdskuLDadl7JvC0Ev3baBp1Hoe7dxWSE3LOO2MTc8wscs67vw/+yundP9Oq72xsnYpr0piYWWJqZtiSXXtOJjKsiyPBIRncfZDBu7WscLZXataF7trCFkc7JYs25VyTD51NonldK3q1sePwuWTKeJnS6C0r5m3Ivba2bWDNB83tmL8hhsjYLOysc9ql0jLUpGcYVgl408qw0soSK9+Smr8tS5XAtoo/GTHxpD0Kw2/qSMyLu3K5/2gAHizZgNewnpT7YQyPlm3CvnY1PPt3JqDXF5pj3J+/mtqH1+AzaiDhOw/h2q4Jzk3qcLpRD4NifebQ+XT6tbHkwZNs7oVmUa+KKQ62Ck5cznm40r6+OfY2ClbtyVlu8sTlDBpVM6NzY3P+upxBKQ9j6lYyZfmuFJ1jv1PZlMt3M0lOe3Mqg+LVSUX6DbF3717c3d0xNjbGwcGBKlWqMHfuXPr27ZvnuFkTExO+/fZbevTQvvC0aNGCVatWMW7cOFJSUvDw8KBt27ZMnDixQLG88847nDlzhsmTJ9OqVSvNWsmffPIJP/30k1ZrbJcuXVCr1cyaNYvx48djbm5OtWrVOHHiBF5eXno/4/P8/Py4dSvvGX5dXFzo3bs333zzDZ06dcrzu/g3GBkZ5Vvpf6Z///46+2bMmMGYMWNo2rQpy5cvZ9GiRURHR+Ps7EydOnU4dOgQTk75d1d9VRu2h2FmquCzj7yxsTLmZmASX067pbXGcTFnM55/QHj9ThJT5gQyoFsJPuxagtAn6UyZE6hZQ/qZGpXscHMxM3i27udt2h2BmamCT/p5YmOp5FZwMmNnBmrH62Si1Uvhxt1kpi+4T7/33en7vjth4RlMW3BPaw1pF0dTxg3zxtZGSXxCFjeDUvj0mztERBv2VHnTnghMTRV80qfE03hTGPtDkFa8Lo6mWg8abgSmMH3hffp1dqdPZzfCIjKYvvC+1hrSzg4mjB36NN7ELG4FpvDZFMPirVmvBUmJ8eza9CvxsVF4lCzNiPFzcSqWszZsXGwUMVG5D4FUKjVb18wnKiIEpdIYF9cSdOo1XGsN6dTkRH5bNJWEuGgsLK3x9PHjy6m/UqqMbutKYVV8uzUpSXEc27GApPhIihUvQ8/PFmPvnNPlNTE+kviYUE3688c2osrOYs+aKexZM0Wzv8o7Heg44DsA7Bzd6f3FMvZu+I5FE9tj6+BKraa9qdd6oMHxAjSr+xbxScks37KbqLgEfDzd+WnMx7i75Jzf0bHxhEfl3rBnZWUzd81WImPiMDM1oVQJd34c/THvVMv9/hKTU5nx61qi4xKwtjSnrLcniyd9QQVfb4PjPXM5BRtLBZ2a2mFvq+TRk0y+Xx5J1NM1pO1tlTjb517zI2Ozmbk8kt7tHGhe14bYhGxW7YjVrCEN4GCr5LvPc6/17Rra0q6hLTeC0vh2sWHd0d9p0ITEhAR+X7+K2JhoSnqVYtzk73EpljPOPDYmmqjI8EIdMzYmii9HDND8vWPrBnZs3UD5SlWZ8l3e82EU1NtPz7udT8+74iVL8+nXc3F+/ryLzD3v1Go1W3577rxzK0Hn3sM1D7wAHJ3dGDlpARtXzGbS511xcCxG07bdadWxn8Hx+lVvTVpyLGf3LSQ5PgIn97J0GLIEW8ec8y45IZLE2DBN+qt/bUSlyuLw5ikc3px73pV/uyMteuWcd1dOric7O5Ndy0dovVftlp9Qp/Vwg+I9cyUVa8s4OjWxxd5GyeMnmcxcGaVVhp2eG/oTGZvNzBVR9G5rT7M61jlleGecZg1pgGZ1rDExNuLzXtq/y1sOJrDl4Mt7AebnTSvDdjUqUufQb5q/y88aB8Cj1Vu5MmAsZu4uWHjmnu+p9x/zd7tBlJ89Fq+hPUkPjeD659M0a0gDxJ4OIKDnSPwmf4bf5BGkBD0ioMfnr2UNaYALtzOxskilTV1zbK2MCIvKZsGWJGIScu4b7KwVOD7XvT86XsWCLUm8/64FDauaEZ+kYtOhVM0a0s8Uc1DgW8KYnzfl3aNP/G8xUv8X+sSKN5pKpWLAgAHs27ePY8eOacZRi6LXuMvZlyf6jziyqRbNexvebevfsv+3arToe6mowyiUfauqcvx63t3D/2saVLBi/V9vzk9U93eMiAs4/PKE/xH21d6l+1eGjVX/t62fWZKrgYWrRBSlSr6unLzx5pxz9cpb8cu+oo6icIa0gB5jHhd1GAW27rsSb1wZ3m1i2FC8f1ObzNsM/SGuqMMolEVf2hd1CHoV5Xm17jvDe/v8G2SMtDCYQqFg2bJljB49mhMnThR1OEIIIYQQQgjxj5Ku3ULLiRMnaNUq77Udk5L0d1dRKBR8+umn/1RYBnv48KFm0i59bty4QcmSJfN8XQghhBBCiP8v1K9rcpv/YVKRFlreeustLl26VNRhvHYeHh75fi4PD49/LxghhBBCCCHEG00q0kKLhYXFS9c4fhMZGxv/T34uIYQQQgghxL9PKtJCCCGEEEIIITRUb9B6zkVFJhsTQgghhBBCCCEKQSrSQgghhBBCCCE01Gp1kW2vYuHChZQqVQpzc3Nq1Kjx0pWEjh07Ro0aNTA3N8fHx4dffvml0O8pFWkhhBBCCCGEEG+kjRs38tlnnzF+/HgCAgKoX78+rVq14uHDh3rT37t3j9atW1O/fn0CAgIYN24cI0aMYMuWLYV6X6lICyGEEEIIIYTQUKvURbYV1o8//siAAQP46KOPKFeuHHPmzMHT05NFixbpTf/LL79QsmRJ5syZQ7ly5fjoo4/48MMPmTVrVqHeVyrSQgghhBBCCCH+E9LT00lISNDa0tPT9abNyMjgwoULNG/eXGt/8+bNOXXqlN48p0+f1knfokULzp8/T2ZmZoHjlIq0EEIIIYQQQoj/hBkzZmBnZ6e1zZgxQ2/aqKgosrOzcXV11drv6urKkydP9OZ58uSJ3vRZWVlERUUVOE5Z/koIIYQQQgghhMardLF+XcaO/T/27josqqyPA/h3hu4QFRVEDEJduzsw11VUDBQUwTWwE2OFNXctbF2DASwUbBe7xcICVFAMBETAIqXhvn/wcnWYGRgM7h3293kenve9MevX8TJzzz3n/M58zJw5U2yfmppaia8RCARi2wzDSOwr7Xxp+0tCDWlCCCGEEEIIIbygpqZWasO5iJGREZSUlCR6n9+9eyfR61zE2NhY6vnKysqoVKmS3DlpaDchhBBCCCGEEFYBU8DZT1moqqqiefPmOH/+vNj+8+fPo127dlJf07ZtW4nzz507hxYtWkBFRUXuP5sa0oQQQgghhBBCFNLMmTOxa9cuiEQiREREYMaMGYiJicGECRMAFA4VHzVqFHv+hAkTEB0djZkzZyIiIgIikQheXl6YPXt2mf5cGtpNCCGEEEIIIUQhDRs2DB8/fsSSJUsQHx+Phg0b4tSpUzAzMwMAxMfHi60pbW5ujlOnTmHGjBnYsmULqlevjo0bN2Lw4MFl+nOpIU0IIYQQQgghhMVlsbFv4erqCldXV6nHfHx8JPZ17twZDx48+K4/U8AUlSgjhBBCCCGEEPKfN3Dyc87+7KOb63H2Z5cF9UgTUoH95Z/PdQS5zR+qhCPBZSswwaVBrYTo8NtVrmOUSdDJzujjFMZ1DLmd9mmEjgOucx1DbtePd0SngUFcx5DbtaMdOL1R+hZHN9fDr2Mfcx1DboG7GipcXkX6jAAKPycU6TpWxGt44upkrmPIbdscfQSqWHIdo0x+zX3GdQSpFK1HmgtUbIwQQgghhBBCCCkD6pEmhBBCCCGEEMKi2b+lox5pQgghhBBCCCGkDKghTQghhBBCCCGElAEN7SaEEEIIIYQQwiooUJwCsFyhHmlCCCGEEEIIIaQMqEeaEEIIIYQQQgiLlr8qHfVIE0IIIYQQQgghZUANaUIIIYQQQgghpAxoaDchhBBCCCGEEBbDULGx0lCPNCGEEEIIIYQQUgbUI00IIYQQQgghhEXFxkpHPdKEEEIIIYQQQkgZUI80IYQQQgghhBAW9UiXjhrShJSRQCAo8fjo0aPh4+NTPmG+U7M6ArS2FEBbA3ifAlwIKcCbD9LP1VIHujcWwNhAAEMd4N5zBhdCJD9k1VSAzr8IYFlDAHVVIPkzcCmkAC8TfkzmWxf243qgCGkp71GlRl30c5gPc8sWUs99fPcc7lw8gPiYp8jLzUEVk7qwGTgZFo06iJ0XdMYXdy4eQPLHeGjpGKBhy57oNXQmVFTVfkhmZ3sz9O9VDTraygiPTIPnP88RFZNR4ms6tzPC2JG1UKOaBuLiM7FzTxSu3f7IHtfQUMLvI2uhU1sjGOipIPJVOjbsfImnz9O+O+9I26ro09kQ2lpKePYqA1t2xyHmbXaJr2nfQhejBhqjWhVVxL/Lge/hBNx8kCr13KG/VsaYIdVw7Nx7bN8f/915AWDM8Jro38sYOlr/f4+3v8Tr2FLe47aVMHZkLVQ3VsfbhCzs2Psa1796j5WEwBh7M/ToXAWV9FXwMSkHpy+9g69/DJjvvL8YM6wmfutZtTDv83Ss2yFH3jaV4DLCjM27c180rt8plnd4TfToVAWG+ir4mJSL05cTsTsg9rvzDutriJ7t9aClIcTz6CzsOPgesQk5Jb6mTRNtjPjVEMZGKkj4kIt9Jz/iTthn9nj9OuqwtTFAnZrqMNRTxl873iL4q+Pfa0T/KujdyQDamkp4FpWJbfvelnodt2umC0fbKqhWWRXx73Ow+2gibj388jvVt4sh+nYxRNVKKgCA6LfZ8Dv5Dvcfp//n8ira5wRdw4V+1jXRqYkqerRUg562EPEf8hFwKRMv4vJlnl/PRAl2XTVQzUgJKekFOBecjeuhX/49ZgzThkVNyWbKo5e52Hrk+95jww4tUHuWC/SaNYR69Sq4N9gViSculvyaji1Rf808aNevh+y37/By7S7E7Dggdo7xwJ6w+HMaNOvURMbLGDxzX4fE4xe+KyvhNxraTUgZxcfHsz/r16+Hrq6u2L4NGzZwHVEu1qYC2DQR4GYEA9G5Arz5wGBYRyF0NaWfrywEMrKBmxEMEpOlnyMUAvadhdDTFODIzQJsP12A0/cKkJb5YzKH3T6FwL1/o+uA8Ziy9AhqWTaHz+rxSP7wVur5Uc/uoW7Ddhg9ezsmLz2EOtatsdvTFW9fh7PnPLxxEmf9PdF94CTMXBmIQWOXIezOaZz19/whmUcONsUwWxN4bn+BsTMf4GNSDtYtaQQNDSWZr2lgqYvFc+vj7OVEOE29h7OXE7HErT7qW+iw58ybYoGWTQ2w1PMpRk25h7sPk7B+aSMYGap+V94hfStjUC8jbN0bh2mLnyMpJQ8r5tSGhrrsrwurOpqYP9EMF28mwdX9OS7eTMJ8VzNY1taQONfCXAN9ulTCq5gfdFEAGDHIBMMG1MC67S/x++wQfErOxbolDUt5j3Xw5xxrnL2ciDHTHhS+x3OsxN7jEYNNMaB3Nazf/gIOk+9jm+9r2A+sgcG/Vv++vANrYGj/6li/8xXGzQ3Fp6QceP7ZABrqJef1mG2Fs1fewXnGQ5y98g6LZ1vCup622PvQv1c1rNv5Eo5THmDb7ijY235/3oE2BujfVR87/d9h7upYJKXm488pNaCuJvuhoqW5OmaPMcaVu2mY8XcMrtxNw2yXaqhn9uXhlLqaEK/jcrDT/9135ZPGrrcRBvaohH/2x2PGspdISsnFspm1oKFWwnVcWwPzxpvi0q1kTF78ApduJWPe+JqwNP9yHX9IyoXP4QRMW/YS05a9RNjTdCyaXBM1q3/fQzdFy6tonxN0Df/ca6K5pQqGdNPAmdvZWOGbhhdv8jHJThsGOtLf30p6QkwarI0Xb/KxwjcNZ25nY2h3DTS1UGHP2X78M9y2prA/S0SpyC9g8OBZ7jfnLKKkpYnUsGd4Mm2JXOdr1DJBy5M78CnoPoJa2uLFyn/QYN1CGA/syZ6j36YJmu5fh7h9x3G9+QDE7TuOZn7rod+q0XfnJfxFDWlCysjY2Jj90dPTg0AggLGxMapWrYoOHTpg586dYuc/fvwYQqEQL1++BFDYo71t2zb06dMHGhoaMDc3R0BAgNhr4uLiMGzYMBgYGKBSpUoYMGAAXr9+/UP/Hq0sBAiNYhAaxeBjGnAhhEFqJtC0jvQvvpSMwnMeRzPIlvE91ti8sBf68I0CxH0EUjOANx+Adyk/JvP1075o0XkQWnYZgio16uA3hwXQq2SM2xcPSD3/N4cF6NxvLExr/wIj41roNXQGKhnXRMTDy+w5MS9CYFavGZq06weDyjVg8Ut7NG77K+KinvyQzEP618Bu/xhcu/UBUTEZWL7uKdTUlNCzcxWZrxk6oAbuhSRh76FYxLzJxN5Dsbgfmoyh/U0AAKqqQnRuVxlbvV8h9EkK4uKzIPKLRnxiFgb2/b5Gk21PIxw4+Q4376ciOi4ba3fGQk1NiC5t9Et8zYMnafAPfI838dnwD3yPkIh02PasLHaeupoQc8bXxAbvN0jPkN1TUVZDf6uB3QGxuHb7Y+F7vP4Z1FSV0KNTZZmvGdL//+/x4TeIicvE3sNvcD8sGUN++/L+NbTUQdCdj7h1PwkJ77Jx5eYHBD9MhlVdbZn/XXkM6VcDew59ybtiYyTU1ErJ26867oUmYd+Rwrz7jrzB/bAUDPmtBntOA0td3Aj+iNv3k5DwPhtXb33E3ZBkWNb5vrz9uurj0Nkk3A79jJj4HGzckwg1FQE6tdCR/Zou+gh9moEj55IQl5iLI+eSEPYsA791NWDPeRCegf3/fsTt0B/Xg1dkgE0lHAx8j5sPUhH9NhueojioqQrRubWe7Nf0MMLD8HQEnP6ANwk5CDj9AaFP0zHAphJ7TnBoGu49SsfbxBy8TczB7qPvkJVdAKvaMp5AVtC8ivY5Qdfwz70murdQw81HObjxKAcJnwoQcDkTSWkF6NREeuO8Y2NVfEorPC/hUwFuPMrBzUc5sGn55fyMLAapn7/8WNdSQU4u8CCy5FEE8nh/9hoiPdYj4dh5uc43GzccWTHxCJ+1AulPXyFWdAixPkdQe6Yze475lNH4cOEmXq7agc/PXuHlqh34cOk2ak0Z/d15uVLAFHD2oyioIU3IDyIQCODs7Axvb2+x/SKRCB07dkSdOnXYfYsWLcLgwYMRGhoKBwcH2NvbIyIiAgCQkZGBrl27QltbG9euXUNQUBC0tbXRu3dv5OR8/xcIUNhzbGwARCWKj/eMSmBgUqnkoeslqVddgLiPDHo2E2BqfyHG9hKirbUApYyGl0teXg7evn6Cer+0F/8zG7ZHzPOHcv03CgoKkJ2VAQ1tfXZfLYtmiHv9BLEvwwAAn97F4lnoNVg26fzdmatXVYeRoRqCHyax+3LzGIQ8TkZDK12Zr2topYvgh5/E9t15+AkNrQtfo6QkgLKSADk54l822TkFaFRf9k1WaYwrq8JQXwUPHn8ZBpibx+DR03TUryv7Jsu6riYeFBsWeP9RGqyLvWaSY3XcDU1FSPj3DystUq2qOioZquJu8ff4SUrJ77GlDu6GJIntC36YJPaasIhUNG+kD9Pqhb05dWppoVF9Xdy6L/66suVVK8wbkiyWN/RJChpayb6pb2CpI/YaAAgOSUJDyy+veRSRimaN9GFSXZ3N+4u1Lm7fF7+WyqJqJWUY6ikj5OmXYed5eQyevMiElZSexCKW5upirwGAkIgMWNZW/+Ys8jI2Uim8jp98uc7y8hg8fvZZ4pr8mlVtDTwsdm0+eJIu8zVCAdCppR7UVYWIeFnysPwKlVfBPifoGv6514SSEKhprITw13li+yNe56F2DekzSGtXV0ZEsfPDX+fBrKoShDJaJu1+UcW9pznI+f4O6TLTb9ME7y/cENv3/tx16DVvCIFy4d/RoE0TfLgQJHbOh/PXYdC2abnlJOWP5kgT8gONGTMG7u7uCA4ORqtWrZCbm4u9e/di9erVYucNGTIEY8eOBQAsXboU58+fx6ZNm7B161YcOHAAQqEQu3btYudje3t7Q19fH1euXEHPnj0l/tyy0lQFhEIBPmeJ7/+cXTgX+lvpawFmVQR4Es3A/3oBDLQF6NVMAKEAuBH+fZM0M9KSUVCQD21dI7H92nqVkJYiY2J3MUGnvZGTnYFGrXqz+xq3/RWf05KwfakDGDAoyM9D6+7D0eW3378rLwAYGhQOs/6ULP4AJCk5B1WryH6jDfVVkZQsfreQlJzL/vcyM/PxKCIFTsPN8PpNBpKSc2DTqQrqW+jgzdtvHwppoFf4lZCUKn6Dk5yahyqVZA8ZN9BTRrKU1xjqffmK6dxaD3XMNDBtyYtvzidNJYPCoYCfUoq/XzkwLuU9/lTsPf701XsMAPsOv4G2pjL2bmmOggIGQqEAO/e+xsXr7789r37RNSH5ZxtXlj20srRrAgD2HXkDLU0l7N30Vd590bgYJN/vhzT6uoX/hslpxf590/JR2VD2LYS+rjKS08R7E5PT8mGgI3v4+o9SdB1LuyYrV1KR9hL2dUkp4q9JSsmDga7439OshhrWzq8NVRUhMrMLsGxrDGLjS563WhHzKsrnBF3DP/ea0NYQQEkoQNpn8Qe7aZ8LoKcl/f3V1ZJ+vpKSANoaAqR+Fr9fMDNWQo3KSthz5tsfAH0PtapGyE4U/xzNefcRQhUVqBoZIDvhPdSMjZCd+FHsnOzEj1Azlj3SiO+o2FjpqCFNyA9UrVo1/PrrrxCJRGjVqhX+/fdfZGVlYciQIWLntW3bVmI7JCQEAHD//n28ePECOjrivVNZWVns8PDisrOzkZ0t/iWopqaGsv6Kf2/HsUAAfM4CTt9nwDBAQhIDbQ2gjaXguxvSX/6QYtsMU2oBOAAIuRWIC0e2YNSMzdDW+zLM7VVEMC6f2I4BTotgWqcxPiZG4+Tev3Dx2FZ0t3UtU7QenatgziQLdnvukkf/z1j87yCQ3FcMI6U61Ne7lno+xfxpljju2xZ5+QwiX6bh/NV3sCjDMN6ubfUxZfSXocEe615L/DmFeUuNK/Gar/+KRoYqGD+iOhauiUJu7vddBz06V8bsifXYbbelT6QGEAikv4elZv5qX/eOldGjSxUs8XyGqJjPqGeujSkutfHhUw7OXJZvTmSPTpUxa0LdL3mXF00ZkJa35P9W8b9P8dd062CEnp2rYMm6Z3gdk4G65lqY4lIbH5Pkz9uphQ4m2H+ZdrB821tpcSHAN+SV/M/8EF1a62Gy45ch+X9ujC7884uf+A0fcNJ+VeMScjBlyUtoaQjRvrkeZjqbwG1VlNwNEUXLq2ifE3QNF3vJT7gmpJGWtaT3tyx/t/aNVBH3Ph/RCT9uSlCZSbt4i+8v7UuFVDjUkCbkBxs7diwcHR2xbt06eHt7Y9iwYdDULH3uUVFjsKCgAM2bN8e+ffskzqlcWfqTzb/++guLFy8W2+fh4QG1+ouknp+RAxQUMBK9z5pqkOilLov0TCCfEf/e+JjKQFtDCKEQKPiOaS+aOvoQCpWQXqz3OT31E7R1K8l4VaGw26dwZNcfGDFlHeo2bCd27PyhjWjavj9adil82GFsaoGc7EwcFXmga/8JEMoaZyZFUPBHhEfeY7dVVQpfa2igio9JX3qlDfRUJHqpv/YpOUespxEADPRVkPTVa94mZGHK/FCoqwmhpamMj0k5WDzXGvGJ8v8D3n6YiqdfDedTUS68Bg2L9Wro6ygjOUX2eLqklDy2B6WIns6X/0a9Whow0FPBpj+/NICVlARoaKGF37obof/YR5D3wXdQ8CeEP3vwJXPRe6yvio9JXzLq60n2OH/tU3IO25tdxEBP/D2e6GSOfYdj2R7oV9EZqFpZDQ52pnI3TIOCPyE88svUA1l5DfRUkJRStmtCv1he19Hm2HfkDS79vwf6VUwGjCurY+QgE7nzBj9KR+TrL9dQ0TWhr6uMpNQvN7F6OkpISZN9U5ucKtkLpqejJNHD9yPcCUnDs6gvDxmLMhvoSl7HxXtRvybtOtbXlexFzctnEP+u8H1/EZ0Fi1oaGGBTCZv3SC96qOh5Fe1zgq7hn39NfC09k0F+AQNdLSGAL++NjqYQqRnS/8FSPxedD7Hz8/MZpGeKv0ZFGWhhpYqTQT+uQGVZZSd+kOhZVq1siILcXOR8TC48J+ED1IzFR8ypVTGU6MkmFQvNkSbkB+vbty+0tLSwbds2nD59Gs7OzhLn3L59W2LbysoKANCsWTM8f/4cVapUQd26dcV+9PSkz3+dP38+UlJSxH7mz58vM2NBAZCQBJhXFX8EbF5VgDcfv/3p6ZuPDAyKdYga6giQlsl8VyMaAJSVVVG9VgM8f3xTbP+LxzdRs57sOUghtwIRsGMBhk1cDasmXSSO5+RkSvRoC4RK/++JKNt7kZmZj7j4LPYnKiYDHz5lo2WTL8VplJUFaNJQH4+fSl/yBQAeP00Vew0AtGpqiMcRkq/Jyi7Ax6Qc6Ggpo1VTQwTd+Shxjsy8WQWIf5fD/sS8zcan5Fw0bfBlNISykgC/WGkj/IXsIXURLzLQrIH4P3yzhtqI+P9rQsLTMWHhM0xyj2R/Il9l4PLtZExyj5S7EQ38/z1OyGJ/Xsdm4OOnHMn3uIFeye/xszS0aCz+HrdsYiD2GnVVIYrXPCkoYCAsQ69QZpb0vC0a64vlbdxAD4+fyl667MmzNLT86jWFefXx+NmX16ipCVFQ7M3M//8Qb3llZTNI+JDL/sQm5OBTSh4aW315GKisBDSoq4Gnr2Tf2D6LyhJ7DQA0sdLEs1ff8aROhsxsWdfxl2tSWUmAhpZa7DUpzdNXmWhSX/w6blpfu8TXAAAEXxo+FTKvgn1O0DX886+Jr+UXADEJ+bA2E2/AW5sp41Wc9Eb/q7d5EufXr6WM6MR8iXuF5paqUFYCgsM5mBz9f8m3Q2DUXfwhfOUeHZBy/zGYvMK/Y9LtEBh1F6/hYmTTAUm35KvhwkdMQQFnP4qCGtKE/GBKSkpwcnLC/PnzUbduXYlh3AAQEBAAkUiEyMhIeHh4IDg4GJMnTwYAjBw5EkZGRhgwYACuX7+OqKgoXL16FdOmTcObN2+k/plqamrQ1dUV+ykc2i1bcCSDxuYCNDIXoJIO0L2JALqawMOXhXcrnX8RoF8r8S/WKvqFP6rKhb3XVfSBSl/Vc3rwgoGGKtCjqQCG2kCdakA7awEevPgxQ5s69hmNe1cO497Vw3gX9xL/7v0LyR/j0br7MADAmYOe8P/HjT0/5FYgArbPQ98Rc1GzbmOkJb9HWvJ7ZGV8aXxYN+2KOxcPIPRWID69e4Pnj27g/KGNsG7WFULh98+FCzgRB8chNdGpTSWY19TEwumWyM7Ox7mrX3oI/5hhifGjzMVe07KpIUYONkVNEw2MHGyKFo314X/iy79/q6YGaN3MANWqqqNFEwNsXNEYsXEZCLzwfQt2Hzv3AcN+q4J2zXRhVkMNM8eaIDu7AFduJ7PnzPrdFE52xuz28fMf0KyhDob0rQyTamoY0rcymtbXwbFzhT25mVkFiI7LFvvJyilAWnoeouO+fShhEf+TcXCwM0XH/7/HC6ZaIDsnH+evfZnLvHC6BcY71mK3D52MQ8umBhgxyAQ1a2hgxCATtGisj4CTX3pkbt79BMchpmjb3ADGVdTQsU0lDBtgIrae97cI+Pf/eVsX5p0/pR6ys8XzLphqgXEOZl/y/vsWLZoYYMTAGoV5B9ZAi0b6CDgZJ57XzhRtmhvAuLIaOrauhGH9a4itjf0t/r2cDLueBmjdSAs1q6liiqMxsnMZXLv35fdoqmNVOPT/MjLk3yvJaGKliYE2BqhRVQUDbQzQyEoTJy9/KdSmripArRqqqFWjsKe9aiUV1KqhCiOD7x8sd/zCRwztWxltm+rArLoaZjjXQHZOAa7e+bKEwEznGhg9qCq7feLCBzSrrw273kYwMVaFXW8jNLHWxvELX96/UQOrokE9TVSppAKzGmoYNbAKfrHUwuU7yf+pvIr2OUHX8M+9Ji7ey0b7Rqpo21AVxoZC2HVVh4GuENdDC//dBnRUx+i+Xx5KXA/NgaGuEIO7qsPYUIi2DVXR7hdVXLgr+e/cvpEqQp/n4nPWjxsiraSlCd3GVtBtXNiBoWluAt3GVlA3rQYAsFw2E429V7LnR+84AA2z6rBePQ/aVrVh4jQYpmMG45WniD3n9ebdMOrRHrVn/w4ty9qoPft3GHVvi9ebfH9YbsI/NLSbkJ/AxcUFK1askNobDQCLFy/GgQMH4OrqCmNjY+zbtw/169cHAGhqauLatWtwc3PDoEGDkJaWhho1aqB79+7Q1ZVdhbisImILG73t6wugrS7A+xTA/3oBUv//4FpbHdDVFJ8R5tLzS8OymqEADcyA5M8MtgUWPj1MywQOXitA9yZCuPQSIC0TuPucwe2nP+YLsFGbvvicnoyLx7YiLfk9qprUg9Psf2BgVDh/Ly35PZI/xrPnB186iIL8PJzwXYoTvkvZ/c062GLI+L8AAF0HTAAgwLlDG5GalAgtXUNYN+mCnkOm/5DM+w7HQk1ViJkT60FHWwXhkamY4R6GzMwvQ+CqVlYX6215/DQVf64Kx++O5hg7shbiEjLhvioC4ZFfbvq0tZQxfpQ5KhupITUtF1dvfsCOPVHIz/++9zrg1HuoqgoxaVQNaGsp4dnLDCxc8wqZWV+eEFeppCI2dzDiRQb+3haDUYOrwnFQVcS/y8Ff26LxrITenh9p/5E3UFMVYtb4utDWVkZEZBpmejwWf4+N1MR6lx8/TcPiNU8xdqQZxo4wQ1xCFjxWPxV7j9ftfImxI8wwc0JdGOip4MOnHBw/Gw+fgzHfl/doHNRUlTBzXJ3CvM/TMGvxE2RmfX1NqIm9x4+fpWHx2qcYO8IMLvZmeJuYhT/XPkPE8y8VetfvfIWxI2pi5rg6hXmTcnDiXDx8/GO/K+/RC0lQVRVg3LAq0NYU4vnrLCzeHIes7C/5Khsqi03peBaVhbXeCRjRrxLs+1VC4odcrBXF43n0lxvlOmbqWDbNhN12Hlw4dPLS7VRs2pv4XZkPnfkAVVUhXEdWL7yOX2VikedrZGZ/uQgqV1IVyxzxMhMrd8TC0bYqHGyrIOF9DlbuiMWzqC/XsYGuMma5mMBQTxmfMwvw+k0W3Ne/Rkj49y1/pGh5Fe1zgq7hn3tN3H+WCy2NTPzaTh26WgLEf8jHlsPp+JRaGE5PWwhDnS99dx9TCrDlcDrsummgcxM1pKQXwP9iJh5Givc6VzEQoq6JMjb4/7iVHgBAr3lDtL24h92uv2YBACB29xGEucyHWrXK0Ph/oxoAMl+/wd3fxqH+2vkwmzgS2W/f4cmM5Ug4eo49J+nWQzwcOROWi6fDcvFUZLyMxcMRM5AcHPZDs5cnKjZWOgFTWjUWQkiZ3bhxA126dMGbN29QtWpVsWMCgQBHjx6Fra3tT8/xlz+HhTnKaP5QJRwJVpzhPINaCdHht6tcxyiToJOd0cdJcb7UT/s0QscB17mOIbfrxzui08Cg0k/kiWtHO2Dg5OdcxyiTo5vr4dexj7mOIbfAXQ0VLq8ifUYAhZ8TinQdK+I1PHF1Mtcx5LZtjj4CVSy5jlEmv+Y+4zqCVDb290o/6Se54NeCsz+7LKhHmpAfKDs7G7GxsVi0aBGGDh0q0YgmhBBCCCGE75jiRUKIBJojTcgP5OfnB0tLS6SkpGDVqlVcxyGEEEIIIYT8BNQjTcgP5OTkBCcnpxLPodkUhBBCCCGEKDZqSBNCCCGEEEIIYRVfTpFIoqHdhBBCCCGEEEJIGVCPNCGEEEIIIYQQFlNAxcZKQz3ShBBCCCGEEEJIGVBDmhBCCCGEEEIIKQMa2k0IIYQQQgghhMVQsbFSUY80IYQQQgghhBBSBtQjTQghhBBCCCGExTBUbKw01CNNCCGEEEIIIYSUAfVIE0IIIYQQQghh0Rzp0lGPNCGEEEIIIYQQUgbUkCaEEEIIIYQQQsqAhnYTQgghhBBCCGExBVRsrDTUI00IIYQQQgghhJQFQwghcsrKymI8PDyYrKwsrqPIhfL+fIqWmfL+fIqWmfL+XIqWl2EULzPl/fkUMTP5+QQMw1BJNkKIXFJTU6Gnp4eUlBTo6upyHadUlPfnU7TMlPfnU7TMlPfnUrS8gOJlprw/nyJmJj8fDe0mhBBCCCGEEELKgBrShBBCCCGEEEJIGVBDmhBCCCGEEEIIKQNqSBNC5KampgYPDw+oqalxHUUulPfnU7TMlPfnU7TMlPfnUrS8gOJlprw/nyJmJj8fFRsjhBBCCCGEEELKgHqkCSGEEEIIIYSQMqCGNCGEEEIIIYQQUgbUkCaEEEIIIYQQQsqAGtKEEEIIIYQQQkgZUEOaEELId2MYBu/eveM6BiGEEPJD5OXl4cKFC9i+fTvS0tIAAG/fvkV6ejrHyQhfUNVuQgghpdLU1ER0dDQqV64MAOjduze8vb1RrVo1AEBiYiKqV6+O/Px8LmMSHsjLy0NWVha0tbW5jkJ4ICsrCwcPHsTnz5/Ro0cP1KtXj+tICqugoAAFBQVQVlZm9yUmJuKff/7B58+f0b9/f3To0IHDhBVHdHQ0evfujZiYGGRnZyMyMhK1a9fG9OnTkZWVhX/++YfriIQHqEeaEEI4EBYWJtcPX2RlZeHr5643btxAZmam2Dl8ey7r7OzM9iIouujoaISHh6OgoIDrKKxTp05hz549YvuWL18ObW1t6Ovro2fPnkhKSuIonXR37tzB6dOnxfbt3r0b5ubmqFKlCsaNG4fs7GyO0pXN1atXcerUKV69x3PmzMG0adPY7ZycHLRt2xa///47FixYgKZNm+LWrVscJlRsLi4ucHV1ZbfT0tLQsmVLbNmyBWfPnkXXrl1x6tQpDhOWDR+v4SLTpk1DixYtkJSUBA0NDXb/wIEDcfHiRQ6TET5RLv0UQsh/0cyZM+U6z9PT8ycnkd+nT5+QkZEBExMTdt+TJ0+wZs0afP78Gba2thgxYgSHCb9o0qQJBAIB2/gUCAQAChujRfsFAoFC9fAW/R34wtfXF3///Td0dHS4jiI3X19fJCUlYfr06ey+cePGwcvLCwBgaWmJs2fPwtTUlKOEX6xZswaDBw9mt2/evAl3d3csWbIE1tbWWLhwIZYuXcqrz4g///wTXbp0QZ8+fQAAjx49gouLC5ycnGBtbY3Vq1ejevXq+PPPP7kN+pXVq1cjPT0dixcvBlD4GdGnTx+cO3cOAFClShVcvHgRDRo04DImAOD06dNYsWIFu71v3z5ER0fj+fPnqFmzJpydnbFs2TIEBgZymFLcixcvkJKSgubNm7P7Ll68iGXLlrHfGwsWLOAw4Rc3btzA5s2b2e3du3cjLy8Pz58/h56eHtzc3LB69Wr07duXw5SSFOkaLhIUFIQbN25AVVVVbL+ZmRni4uI4SkX4hnqkCSFSPXz4UOxn06ZNuHnzpti+kJAQrmOKmTRpkthN+7t379CxY0fcvXsX2dnZcHJykuhB40pUVBRevXrF/q+GhgYuX74ssZ98O771kMvjn3/+gZ6eHrt95swZeHt7Y/fu3bh79y709fXZm1GuPX78GO3atWO3Dx06hB49emDhwoUYNGgQ1q5di5MnT3KYUFJISAi6d+/Obh84cACtW7fGzp07MXPmTGzcuBH+/v4cJpTk5+eH+vXrs9uHDh3CtWvXcP36dXz48AEtWrTgzTURExMjlvXcuXOws7ODmZkZBAIBpk2bhocPH3KYUNKcOXNw7NgxdjsqKgq//fYbVFVV0bZtW/z1119Yv349Z/m+FhcXJzY0/uLFixg8eDD7mTF69Gg8efKEq3gyKdI1XKSgoEDqg+w3b94o1MNZ8nNRjzQhRKrLly+Lbevo6GD//v2oXbs2R4lKd/v2bXh7e7Pbu3fvhqGhIUJCQqCsrIw1a9Zgy5YtcHR05DBlITMzM7FtgUAAExMTif18IRAIxHqci2/zlSJk/FpkZCRatGjBbh8/fhz9+/fHyJEjAQArVqzAmDFjuIonJi0tDZUqVWK3g4KCYGdnx243aNAAb9++5SKaTElJSahatSq7ffXqVfTu3ZvdbtmyJWJjY7mIJlNUVBQaNWrEbp86dQqDBw9G+/btAQB//PEHhgwZwlU8MUKhUOwB1u3bt7Fo0SJ2W19fn3fDeO/du4e5c+ey2/v27YOFhQXOnj0LAGjUqBE2bdokNkqEK+rq6mJTam7fvo3Vq1eLHedjISxFuoaL9OjRA+vXr8eOHTsAFH6XpKenw8PDg3c9/oQ71CNNCKkwEhISYG5uzm5funQJAwcOZAuz9O/fH8+fP+cqnkJjGAYWFhYwNDSEoaEh0tPT0bRpU3bbysqK64hSfZ1Z1g+fZGZmQldXl92+efMmOnXqxG7Xrl0bCQkJXESTUL16dURERAAA0tPTERoayt4YA8DHjx+hqanJVTypqlatiqioKACF83cfPHiAtm3bssfT0tKgoqLCVTypcnNzoaamxm7funVLbCRA9erV8eHDBy6iSbCysmJHITx58gQxMTHo2rUrezw6OlrsQQYffPjwQWw60OXLl/Hbb7+x2126dMHr1685SCapcePG7Kiq69evIzExEd26dWOPv3z5EtWrV+cqnkyKdA0XWbduHa5evYr69esjKysLI0aMQK1atRAXF4eVK1dyHY/wBPVIE0IqDF1dXSQnJ7O9usHBwXBxcWGPCwQChSkkxDdf9/QrksWLF4sNleY7MzMz3L9/H2ZmZvjw4QOePHkiVoU3ISGBN38fOzs7TJ8+HQsWLMCpU6dgbGyMNm3asMfv3bsHS0tLDhNK6t27N+bNm4eVK1fi2LFj0NTURMeOHdnjYWFhqFOnDocJJdWtWxfXrl1D7dq1ERMTg8jISHTu3Jk9/ubNG7GRAVyaM2cO7O3tERgYiCdPnqBv375iDzdPnTqFVq1acZhQkqGhIeLj42FqaoqCggLcu3cPM2bMYI/n5OTwZprIokWL0LdvX/j7+yM+Ph5OTk7sygkAcPToUbGHWXyhSNdwkerVqyMkJAR+fn548OABCgoK4OLigpEjR4oVHyP/bdSQJoRUGK1atcLGjRuxc+dOHDlyBGlpaWJP6yMjI3lRpEkWPg9DHj16NNcRvsnw4cNRpUoVrmPIbdSoUZg0aRKePHmCS5cuwcrKSqwI0s2bN9GwYUMOE37h4eGBt2/fYurUqTA2NsbevXuhpKTEHvfz8xPr2eODZcuWYdCgQejcuTO0tbXh6+srVkxIJBKhZ8+eHCaUNHHiREyePBnXr1/H7du30bZtW7H5ppcuXULTpk05TPjF4MGDcerUKQQGBqJnz56YMmWK2HFNTU2xqtN80LlzZyxduhRbt25FQEAACgoKxHrRw8PDUatWLe4CfqVr1664f/8+zp8/D2NjY4nh0E2aNOHdgwpAsa7hr2loaMDZ2RnOzs5cRyE8RetIE0KkKr70Urt27eDv7y82BA6A2LwnroWEhMDGxgZpaWnIy8vDggULsHTpUva4o6MjtLS0eLH+Y9OmTcUazmFhYbCyspKoEPrgwYPyjiaXtLQ0sV4aoVDIu3WDlZSUEB8fr1AN6YKCAnh4eODff/+FsbExPD09YW1tzR4fMmQIevfuLTbSgpRdSkoKtLW1xRr+QGHlf21tbYnfQ655eXmx14SHhweMjY3ZY66urujRowcGDhzIYULFFRUVhR49eiAqKgpCoRAbN27ExIkT2eO2trYwNzfHunXrOExZyNnZGRs2bFDIYlelXcM2NjYYNGgQhwklPXv2DJs2bUJERAQEAgGsrKwwefJk3k5lIuWPGtKEEKmEQqHY8kxf4/PyTO/fv8fNmzdhbGyM1q1bix0LDAxE/fr1xYYackXeCqUeHh4/OYl8QkJCsHDhQnbZGh0dHWRkZLDHBQIBbt26hZYtW3IVUYJQKERCQkKJDelDhw6JFcgi8nv37l2J721+fj7u37/Pqx4yRXy4snv3bgwbNkxsjilfrVq1ClOmTGGHvl67dg2tW7dms6elpcHNzQ1bt27lMqaE3NxchIeHo3LlyhJzjENDQ2FiYsKLoceKeP0qqkOHDsHe3h4tWrRg6yjcvn0bd+/exf79+3lXHI1wgxrShBCpoqOj5TqPr1WmZYmLi0ONGjW4joGYmBiYmJhAKFSMmo8uLi6oW7cu5s+fD6CwIb19+3bUqFEDDMNAJBKBYRjeLC9WJC8vD8+ePYOKigosLCzY/cePH4e7uzuePn3Ku3nzAQEBOHbsGHJzc2FjY4Nx48ZxHUmq4jf11tbWOHv2LGrWrAkASExMRPXq1Xn1sE2ehyt8o0iNp+JZdXV1ERISwq72wMdrQpEo4vULAP7+/rC1tWVHerx+/RqmpqbsiJCMjAxs3rxZrHo612rXrg0HBwcsWbJEbL+Hhwf27NlDy1MSAFS1mxAig6+vLypXrgwzM7MSfxRFQkICpkyZgrp163IdBQBgbm7OuyqlJblx44ZY0SsAaNOmDTp37owuXbpg0qRJuHbtGkfppIuIiICFhQUaNWoEa2trDBo0CImJiejcuTNGjx6NHj164MWLF1zHFLNjxw4MGzYM9+7dw7NnzzBx4kT24QXfFH8O/+bNG+Tl5ZV4Dik7RXoPi2dVhOz169fHp0+f2O1x48bh/fv37Pa7d+94VX2ez7U0ZLG3t0dycjK73ahRI7GH9Wlpabz7nEtISMCoUaMk9js4OPBm5QTCPSo2RgiRavHixZgwYQKvbiBKk5ycjEmTJuHcuXNQUVHBvHnzMHnyZPz5559Ys2YNGjRoAJFIxHVMAIpxg/m12NhYtqcRAJYsWQIjIyN2u1q1akhMTOQimkxubm4wNzfHxo0bsW/fPhw8eBCPHz+Gg4MD/v33X17OM9y0aRMWLlzIzu338fHBlClT8Ndff3Gc7Nvw8ab/7NmzpVY+79+/fzmlkQ8f38eK4unTp2IPgA4cOIB58+ahcuXKAAo/q7OysriKJ8HCwqLU6+HrBwN8oIgPWLp06YLr169LPHwPCgoSq/RP/tuoIU0IkUoRvuiKW7BgAa5du4bRo0fjzJkzmDFjBs6cOYOsrCycPn1abLkNUjZqamp48+YNOwrh6+VhgMKGNt8eugQHB+PUqVNo1qwZOnTogIMHD2LOnDn4/fffuY4m06tXrzBmzBh229HREePGjUNCQoJYcR7y7UqrQM/H2g9OTk6lzpE+cuRIOaWp2GTVBeELRVvST1H1798fbm5uuH//Prus3+3btxEQEIDFixfjxIkTYueS/yZqSBNCZOLTzYM8AgMD4e3tDRsbG7i6uqJu3bqwsLDA+vXruY4m1a5du0qtdD116tRySlOypk2b4tixYzLXKD1y5Ajvli959+4dOx9eX18fmpqavH+YkpmZKXZNKCkpQU1NTaywG18IBAKkpaVBXV2dLT6Ynp6O1NRUAGD/l28UcY6pjo6Owqxd+/XnWl5eHnx8fNjRK2lpaVxGqxAUbUk/RVW0TNvWrVsliuN9vYQbHx+8kfJDDWlCiEzdu3eHsnLJHxN8Wp7p7du37NqUtWvXhrq6OsaOHctxKtn++ecfieV3viYQCHjTkHZ1dcXw4cNRq1YtTJw4kS2Slp+fj61bt2LTpk3Yv38/xynFCQQCsWJuQqEQKioqHCaST/EHLMUbIwA/HrAwDCNWwI1hGLGHKUWNaz7hWx55bdy4USEaTzVr1sTOnTvZbWNjY4kChF9PEeEDgUAgcV3w9Trhay55fD2loqCgABcvXsTjx48BQGz+NF8UFBRwHYEoAKraTQiRSigUYtasWaX2mPJleSagsPcuISGBndumo6ODsLAwXix3VZwiVl91c3PD6tWroaOjg9q1a0MgEODly5dIT0/HzJkzsXr1aq4jihEKhdDT02NvPpOTk6GrqytRKZ1P8wlr1apV6s2yQCDgRcXYq1evynUen0YBKOLvnSJV7VZEQqEQDRs2ZB8ah4WFwcrKiq0wnZeXhydPnvCi11ERr18Acq1Owbee3aioKF7eOxB+oR5pQohMc+bMUagvbIZhxOYSZmVlYcKECdDS0hI7jw9zCRWxZ2HlypUYOHAg/Pz88Pz5cwBAx44dYW9vz84h4xNvb2+uI5TZ69evuY4gt+joaIVZ37jI6NGjFWaIdBFF6u/o1q0bjhw5An19fa6jyK34w+ABAwZInDN48ODyilOi0npJGYbB+/fvefe9rYi9u3Xr1kWnTp3g4uICOzs7qKurcx2J8BD1SBNCpFLEXpCvizSVhA8NLEXtWSCkiCJ+RijierZXr15F+/btS51mwweK+LkWExMDExMTuXpNuaapqYno6Gh21FXv3r3h7e2NatWqAaB1un+kx48fQyQSYd++fcjOzsawYcPg4uKCVq1acR2N8Ag1pAkhUiniDZEiWbx4MebMmcO7SteyxMTEyHUe3+Y/AoUFvM6fP4/IyEgIBAJYWFjAxsaGlz2TGzdulOs8PsyRVsTPiOKNf11dXYSEhKB27doA+NkQ6du3L/z8/Nj5pcuXL8ekSZPYXt+PHz+iY8eOCA8P5zBloYpwTfBZ8fdXR0cHoaGhYtdvtWrVeNcDfO3aNbnO69Sp009OUnZ5eXk4efIkfHx8cPr0adSrVw8uLi5wdHRkH2iQ/y5qSBNCpIqOjkbNmjXZIcjF54gpKSmhQYMGXMX7Zu/evePFDVN8fDw2b96M5cuXAwA6dOggVplZSUkJx44dY6tOc00oFEodjv51QSmBQCC2HisfnDhxAmPHjsWHDx/E9hsZGcHLywu//fYbR8mkk2dOHl/mSAuFQiQmJirUzaQ8DRG+NaQVqfEvFArx/PnzUq8JXV3dckpUOkVq/Cvi9QuIf3/IanbwbY50cdnZ2di6dSvmz5+PnJwcqKioYNiwYVi5ciU7IoD89/B/nBAhhBMxMTGws7PD3bt3AQBt2rRBRkYG+yUoEAhw9uxZ2NjYcBlTjCINe9u2bZtYpdLQ0FA4OzvD0NAQAHD69GmsW7cOa9as4SihuIcPH0rdzzAMDhw4gI0bN5ZamK683bx5E3Z2dujfvz9mzZoFa2trAEB4eDjWrl0LOzs7XLlyBW3btuU46RdRUVFcRygTWt/45yve8OB7/8fXldyLK3rwxofPYFJ+DAwMoKOjAycnJzg6OoqtQMB39+7dg0gkwoEDB6ClpYXZs2fDxcUFb9++hbu7OwYMGIDg4GCuYxKOUEOaECLVli1b4OjoKLbv8uXLMDMzA8Mw2LhxI7Zt28arhnRWVpbYTeaNGzeQmZkpdg5fbkJPnDghUeV62rRpbM9CmzZtMHPmTN40pBs3biyx78KFC5g3bx4iIyMxd+5czJ49m4Nksi1btgxjxozB9u3bxfa3a9cO7dq1w/jx47F06VKcOnWKo4Tf75dffsGpU6dgamrKyZ+vSOsbk/Jx6NAh9oGgoii+5Jw0fJhOUXypLmlLd/FRfHw8jh49CpFIhFWrVqFv375wcXFB7969eZff2dkZGzZswM6dO+Ht7Y1nz56hb9++2L17N/r27cvOpTc3N8f27dthZWXFcWLCJWpIE0KkunfvHqZPny62z8TEBGZmZgAAR0dH/Prrrxwk+z58+dJ+/fo16tSpw2736NFDrLq4paUlb3sn79+/j3nz5uH69esYO3YsTp06xcthkbdu3cLKlStlHp80aRKvlmb6Fq9fv0Zubi5nf76irG/8NUVbz1aR1jkGgPbt2yvcNfHPP/+wBeekEQgEvGhIF63dXvTvn56ejqZNm7KNO748KC5OVVUVw4YNw7BhwxAbGwtvb29MnjwZ2dnZGD16NBYvXsybYnq+vr74+++/sW3bNjg7O2PMmDEwNjaWem7NmjXh5eVVzgkJn/DjqiWE8E5cXJzYvB9fX1+xLxNDQ0N8/PiRi2gVQl5eHlJSUtjt4sNfk5KSeFdF9sWLF1i4cCEOHz6MoUOHIjw8nO1B56OsrKwS52Lq6ekhOzu7HBNVLHxuzJVk9OjRYtvjx4/nKIl8SlvWj67h73fv3j2FaPzzYcWJ72Vqagp3d3c4OjrCxcUFf//9N2bNmsWbUQxFDyOKlngsiaqqqsTnCflvoYY0IUQqHR0dREVFsT3QgwYNEjseFRXFq4IxgGINe7O0tMTNmzfRtGlTqcevX79e4lzD8ubq6govLy907doV9+7dQ5MmTbiOVCoLCwtcunRJ5rJoFy9eRN26dcs5VcXB196vkvCtmrE8Ro0aJfY55uDgIPUcPqhRo0aJPbvk+8jTaIuLiyuHJN8mOzsbhw8fhkgkwq1bt/Drr78iMDCQN43oIny9byD8Qw1pQohUrVu3xu7du9GlSxepx318fNC6devyDVUKRRr2Nnz4cLi7u6Njx45o1KiR2LHQ0FAsXrwY8+bN4yidpH/++Qfq6up49+4dnJ2dZZ734MGDckxVMicnJ8yePRtVq1ZF3759xY4FBgZi7ty5WLhwIUfpFN+GDRtgYGDAdYwyiYuLK7US/r59+zBy5MhySlQ6Hx+fUs/hS7X8atWq4ePHj6hUqRLXUSqkadOmYcOGDTKPx8XFoWvXroiMjCzHVKULDg6Gt7c3Dhw4AHNzczg5OcHf3593DegiX99HyPLp06dySkP4jBrShBCpZs6cCRsbG1SqVAlz5sxhh729e/cOK1euxN69e3Hu3DmOU4pTpGFv06dPx7///ovmzZujR48esLS0hEAgwNOnT3H+/Hm0bdtWYo46lzw8PLiOUGbTpk3DzZs30a9fP1haWopV7X7+/DlsbW0xbdo0jlMqLg8PD5w4cQLe3t4wMTHhOo5cevTogRs3bsh8ALB//36MGTOGVw3pAwcOYPjw4TKP5+bmws7ODsePHy/HVNLVqlULTZs2xd9//40pU6ZwHUcu/fr1492KA7Ls3r0blSpVgru7u8Sxt2/fomvXrjLn83KpTZs2qFmzJqZOnYrmzZsDAIKCgiTO69+/f3lHk2rx4sVsHQVCSsQQQogMW7ZsYVRVVRmhUMjo6+szBgYGjFAoZFRVVZlNmzZxHU/C1atXmdzcXK5jyC07O5v566+/mMaNGzMaGhqMhoYG06hRI+avv/5isrKyuI5XYRw4cIDp378/Y21tzVhbWzMDBgxg/Pz8uI71Q2hrazMvX77k5M+Oi4tjfv31V0ZfX5/ZvXs3JxnKqnPnzkyrVq2Y9PR0iWN+fn6MiooK4+npyUEy2dTU1JgzZ85IPZabm8sMGDCAqV69ejmnki0gIICpUqUKY2Njw8TGxnIdp1QqKirMkiVLmPz8fK6jlOratWuMpqYms3nzZrH9b9++ZSwsLJh27dpJvba5JhAISv0RCoVcx2QYpjBrYmIi1zGIghAwDI/GOhJCeCc2NhaHDh1iC2/Uq1cPdnZ2nC23UxIlJSXEx8crRNGYiiQpKQl79+6Fl5cXQkJCuI7zn7J//34MGDBArOJ7efPx8cHMmTPRpUsX/PHHHxLVd4tPXeBSeno6unTpAn19fZw+fRoqKioAAH9/fzg4OGDFihW8W8Ztw4YNWLhwITtSpUh+fj7s7Oxw69YtXLlyhVfL8Lx//x6TJk3C+fPn4ejoKHFNeHp6cpRM0qlTpzB+/HhUr14de/bs4VVtCmkCAwMxePBgeHt7w97eHgkJCejSpQsMDAxw/vx5held5yu6jyBlwnVLnhBCfhR6kly+zp8/zwwfPpxRV1dnTExMmKlTp3IdSUx+fj6zatUqpl27dkzLli2Z+fPnM5mZmVzHKlGfPn2Y5ORkdnvZsmVMUlISu/3hwwfG2tqag2QlO3/+PKOkpMQIhUK2d4lPvUxfe/fuHWNlZcUMGjSIKSgoYPz9/RkVFRXm77//5jqaTO7u7oyBgQHz6NEjhmEYJi8vjxk0aBBTpUoV5smTJxynk5SXl8e4u7szysrKTIcOHZguXbqwP127duU6noTk5GRm9OjRjJaWFrNx40au45Rq3759jLq6OuPt7c1YWVkxLVu2ZFJSUriOVSHQfQQpC+qRJoRIde3aNbnO69Sp009OIj+hUIjExERUrlyZ6yilMjc3L7WYiUAgwMuXL8spkXxiYmLg7e0Nb29vpKenIykpCf7+/hg8eDDX0ST89ddf+OOPP9C9e3doaGjg7NmzGDVqFHbs2MF1NJmK94bo6uoiJCSEXWYsMTER1atXR35+PpcxxXh6emLRokUYMmQIFi1aJNH7WFT5n09iY2PRoUMH1K1bF0FBQXB3d+d94bkpU6bg8OHDuHLlChYuXIgrV67g0qVL+OWXX7iOJubJkydwdHREUlISRCIRunbtynUkuR06dAjDhw+HlpaWRPVxvhWX2rp1K6ZMmYJmzZrhwoULvJ7Te+LECbnO48scaULkRQ1pQohUJa1hXNQAFAgEvKkWCxRmHjduHDQ1NUs8jw/DCkuqvPr69Wts374d2dnZvGkw+fv7Y9euXbhx4wb69u0LBwcH9OnTB1paWggNDUX9+vW5jijB0tIS06ZNg6urKwDgzJkzsLW1RWZmJm+XNxEKhUhISGAb0jo6OggNDeVlQ/rVq1cYNWoUXr58iX/++QcDBgzgOlKpwsLC2P//9OlTjBo1Cra2tliwYIHYeXwajv41R0dHHDp0CNra2rh48SLvcv7999/4888/MWLECGzYsAE6OjpcR5Lb3bt32aXGZs2aJfFAiA/rBTdt2lTssys8PBympqYS7zOfVk8ASr6fKCIQCHjxuUZIWVDVbkKIVElJSVL3Z2RkYMOGDdi4cSN7c88njx49gqqqqszjfGlASasW/enTJyxduhTbtm1D69atsXLlSg6SSTdixAjMnTsXhw8fVpib4+joaPTr14/d7tWrFxiGwdu3b0tdAomUrlGjRujduzeOHTsGIyMjruPIpUmTJhAIBGAYhv1ff39/BAQEsMvj8e2GfubMmez/19fXB8MwaNKkicSyWHx5QBgQEIDffvuN6yhyy8vLg4eHB9asWYNJkyZhxYoVUFdX5zqWVLa2tmLbivDwClDM9dsJkQc1pAkhUhUfJlZQUACRSITFixdDKBRiy5YtvHhCX9zRo0cVrkhIZmYmPD09sXr1atSqVQtHjhyRWPeYa87Ozti6dSuuXr0KR0dHDBs2jPdrCOfk5EBDQ4PdFggEUFVVRXZ2NoepSiYQCCQe9vDl4U9x//zzDxwcHCT25+TkICcnh5dFj6KioriOUGYPHz4U227bti3y8vLE9vPlGnn8+LHEGtKfP3/GwYMHkZmZiZ49e6JevXocpZOuWbNmSE9Px7lz59C5c2eu45RIEZchBAq/PxRthAIh8qCh3YSQUh05cgQLFizA+/fvMX/+fEyZMgVqampcx5KgaNU28/PzsXPnTixevBjq6upYsmQJHBwceHNTXFxmZib8/f0hEolw584d9OrVC4GBgQgJCUHDhg25jidB2lD/LVu2wMHBQexBER968ooIhUL06dOH/f06efIkunXrxlblzs7OxpkzZ3jTY+rt7Y0HDx6gTZs2GDlyJObPnw9PT0/k5eWhW7duOHDggETDilRcsbGxcHBwYK8JLy8v9OjRg131QUNDA6dPn+ZVbY2xY8di/fr1vHzwU1xWVhbOnTuHrl27SjRKU1NTceXKFfTq1Yt338+K9t1MiLyoIU0Ikenq1atwc3PDo0ePMG3aNLi5ufG6oEnx+aV85u/vjz/++AMpKSlYsGABJk6cWOKQdL55/vw5RCIRdu/ejfT0dPz666+ws7PDoEGDuI7G6tKli1wF3S5dulROiUrn5OQk14MUb2/vckhTsuXLl2P58uVo164dHj58iKFDh+LYsWOYPn06hEIhNm7ciH79+mHbtm1cR2U9f/4c7u7u2L59O3R1dcWOpaSkYOLEiVi2bBnvpq2kpqZCW1tbYq5pQUEB0tPTJf4uXBk6dChiY2MxadIkBAQEIDIyEnXq1IGXlxeEQiFcXV3x8eNHXv3OAYXXRVhYGJo1awZzc3MEBgZi5cqVyMzMZOfQ8+EB54YNG3DixAlcvHhR6nEbGxvY2tpi8uTJ5ZysZIr03UxIWVBDmhAiVd++fXHx4kWMGTMGf/75J4yNjbmOVCpfX18MHz6cd0/jpREKhdDQ0IC9vX2JN8F86i2VpqCgAIGBgfDy8sLp06d5PWya/Fj16tXDkiVLYG9vj3v37qF169Y4ePAg7OzsAACnT5/GhAkTEB0dzXHSL8aNGwd9fX2sWrVK6nE3NzekpqbyqvF/9OhRuLm5ISQkRKKQYkZGBpo2bYo1a9bwYl6ysbExTpw4gVatWuHTp08wMjLCjRs32PWvQ0ND0b17d3z48IHjpF8cPXoUQ4cOhVAohEAgwI4dOzBu3Dh07doVSkpKOHv2LJYtWwY3Nzeuo6JVq1ZYtGiRzH/rf//9F0uWLEFwcHA5JyuZIq2oQUhZUEOaECKVUCiEsrIytLS0SnwSz6clQe7fv4/Zs2fj+PHjUnubbG1tsX79ejRu3JijhF8oYm9pad69e6fQPQ7Fl5rigiINgVRTU8OLFy9gamrKboeFhcHS0hIAEBcXB3Nzc+Tk5HAZU4yVlRX27NmDli1bSj1+//59jBgxAs+ePSvnZLL17NkTQ4cOxdixY6UeF4lEOHjwIM6ePVvOySQpKSnh7du3qFq1KgBAW1sbYWFhvKw6X6RFixbo1asXli1bBh8fH7bg2PTp0wEAO3bswLp16xAREcFtUAAGBgYIDQ1FzZo1pR6PiYlB48aNZRYL5YpQKISenl6p33l8up8gRB5UbIwQIhUfho6WlaenJ7p16ya1h1dPTw89evTA6tWrsXfvXg7Sibty5QrXEcpEnnVABQIBL3rFvhUfnivzIYO8cnNzxUZ/qKqqQkVFhd1WVlbmVYMJKKzkXtJDCiMjI8TGxpZjotI9fvwYW7dulXm8U6dO+OOPP8oxkWxF1dCL8GE4dGmePXuGgwcPQiAQYPTo0fj9999hY2PDHu/ZsyfbqOZaXl4e3r9/L7Mh/f79e14tSfm1xYsX83pqGCHfghrShBCp+FiRuzS3b98ucfjdb7/9hl27dpVjooqj+LIrRUsHFd/Ht4YT+bnCw8ORkJAAoLAR9fTpU6SnpwMAr4bvFtHT08PLly9hZmYm9fiLFy94M9+4SFJSUomNo9zcXF71QLq7u7ND0HNycrB8+XK2AZWRkcFlNKk+f/7MFu4qmnLz9RB6DQ0N3kxZadCgAS5cuIDmzZtLPX7+/Hk0aNCgnFPJZ/jw4Qox0oaQsqCGNCFEquDgYDRv3hxKSkoAJHsasrOzcfz4cQwdOpSriBLi4uJKXF5DW1sb8fHx5ZhItvr16yMoKAiGhoYACuduLl++nJ1D9u7dO9SqVYs3N57F1wHV0dFBaGgo74oyVQRnz54tteemf//+5ZSmZN27dxd7oFK0bvfXazXzSadOnbBp0yZ069ZN6vGNGzeiY8eO5ZyqZLVq1cK9e/dgZWUl9fi9e/dkPhgob506dRIbFt+uXTu8evVK4hw+Kb7knLQl6PjC2dkZM2fORIMGDdjftSInT57EsmXLeFlXg6/vJyHfi+ZIE0KkKj5Xs/j8UT7OdTM1NcXOnTvRu3dvqcdPnz6NcePG8WLoZvEqptLe32rVqkk0YPmiIjak+fB3Kl6VWRq+9PzLW0SML408oHBN5rZt26Jfv36YO3cuO5/76dOnWLVqFQIDA3Hz5k00a9aM46RfLFy4EHv37kVwcDA797hIQkICWrduDQcHByxfvpyjhIqt+Pzd5ORk6Orqsr+LDMMgNTWVF79zAODg4ID9+/fDysoKlpaWEAgEiIiIQGRkJIYOHQo/Pz+uI0ooa9XuN2/eoHr16nJ9HhLCJeqRJoRIVfwZm7Rnbnx7DmdjY4Ply5dLbUgzDIMVK1aIzX3jE2nvJT3FL198eb8VZZmYsjaQXV1dsWTJEhgZGf2kRKVr2rQpDh06BGdnZxw9elTsWKVKleDv78+rRjQAzJs3D8ePH0e9evXg4OAg1njat28fTE1NMW/ePK5jfhM+FPhTtHoge/fuRf/+/bF//35ERkaCYRhYWlpi8eLFvBoh9rWyPhCuX78+59cFIfKghjQh5JvxpeFR5I8//kDz5s3RunVrzJo1S+yGc+3atYiMjFS4myZSfvjwYIhvv1M/0t69ezF79mxOG9JA4fDz6OhonDlzBi9evADDMLCwsEDPnj0llpfiAx0dHdy4cQPz58/HwYMH2fnQBgYGcHBwwIoVK0qc0sJnfPidK2s9ED8/P/Tv3x9aWlo/KVHphg4dKrXRnJ+fj5MnT0rUtFA0fLguCJEHNaQJIRVGnTp1cOHCBTg5OWH48OFso4RhGNSvXx/nz59H3bp1OU5ZSNo8PEVqRPF5HuHX0tLScPv2beTm5qJVq1YlNuJOnz6NGjVqlGM6SRX5BpJPfzcNDQ0MHDhQbF9BQQFOnjwJLy8vHDt2jJtgMujp6WHr1q3YsmULPnz4AIZhULlyZfZ38P3797RGbzkZP348Wrduzave0qdPn0IkEsHX1xdJSUm8WnKOkIqMGtKEEJkUrSIvULgm6OPHjxESEoLnz5+zvU1NmjThOpoYhmHQvXt3KCsXfgxnZmbit99+g6qqKgDwbgkTAwMDsYZzeno6mjZtKjGHjU/rgIaFhaFPnz5ISEgAwzDQ1dXFoUOHZA7v79ChQzknlDR69GhoaGhwHeM/5fnz52KNkF69enEdSSaBQMA2mBmGwalTp7Br1y4EBgbyprJ0RceXB0KfP3/GwYMH4eXlhdu3b6Nr165Yvny5wvdGE6JIqCFNCJFJ0Sryfq1JkyZijeekpCTs3bsXXl5eCAkJ4SxXEQ8PD7HtAQMGSJwzePDg8opTqvXr13MdoczmzZuHmjVrIiAgAOrq6li8eDEmT56Mp0+fch1NpqKpB3FxcTh8+DAiIyMhEAhgYWGBQYMGcd5jXlFkZmbC39+fbYTk5+dj3bp1cHZ2hra2NtfxSvTq1Su24Z+eno5ff/0VBw4c4DoWKSe3bt3Crl274O/vj3r16mHkyJG4c+cONm7ciPr163Mdj5D/FGpIE0KkioqK4jrCD3HhwgV2qKaRkREGDRrEdSQAkg1pvlPEdcXv3buHU6dOoUWLFgAAkUiEKlWqID09ndeNpa1bt2LmzJnIycmBnp4eWzV4zpw58PT0hKurK9cRFVZwcDB27dqFgwcPwsLCAg4ODggICICJiQlsbGx4e11kZWXh0KFD2LVrF27fvo0ePXogPj4eISEhaNiwIdfxvhmfH8byUf369ZGRkYERI0bgzp07bMNZUYvNyULXBVEUVFeeECKVmZlZiT+6urq4evUq1zGliomJweLFi1GrVi0MHz4c/v7+2Lt3L2JjY7Fhwwau48klNDSUXcObD5KSkrBp0yakpqZKHEtJSZF5jEsfPnxAzZo12e1KlSpBU1MT79+/5zBVyQIDAzF16lRMnjwZcXFxSEpKQnJyMuLi4uDq6opp06bh1KlTXMdUWO3atYOWlhaCg4Nx9+5dTJs2TWJJKb5xdXVF9erVsWXLFgwZMgRxcXE4efIkBAKBwi8PxJdh0orixYsX6NSpE7p27Qpra2uu4/w0dF0QRaHYn8CEEM7ExMRgzJgxXMcQ4+/vj549e8La2hqPHz/Ghg0b8PbtWwiFQoW86eDTzcTmzZtx7do16OrqShzT09PD9evXsWnTJg6SySYQCJCWlobU1FSkpqYiJSVFYh/fGv+rVq3CvHnzsGbNGlSrVo3dX61aNXh6esLNzQ0rV67kMOG3c3BwkHr9lKdu3brBy8sLS5YswZkzZ3j1OybLjh07MHHiRJw7dw6TJk1CpUqVuI5UorS0NJw/fx6nTp0qtZYGHwr8KZKoqChYWlpi4sSJMDExwezZs/Hw4UPe9+AOHjwYHz9+lPv88PBwXq0/T4gs1JAmhFQYI0aMQIsWLZCQkICAgAAMGDCALd6liPh0c3T48GFMmDBB5vHx48fj0KFD5ZiodEWF5gwMDGBgYABDQ0O2SJqBgQH09fVhYGDAdUwxDx8+hKOjo8zjjo6OePDgQTkmki0jIwOTJk1CjRo1UKVKFYwYMaLEhtO2bds4X/rq3LlzePLkCdsYqVatGqZNmwaAX79vX9u9ezeCg4NRrVo1DBs2DP/++y/vihEWCQsLg5WVFXr37o1+/fqhbt26uHDhgszzO3ToADU1tXJM+P3MzMygoqLCyZ9do0YNLFy4EC9evMCePXuQkJCA9u3bIy8vDz4+PoiMjOQkV2ni4+PRoEEDnDx5Uq7zTU1NeTUiixBZBIwiPI4lhPBOaGgomjVrhvz8fK6jsMaNGwd/f380aNAAjo6OGDZsGAwMDKCiooLQ0FCFKsTCt/dXR0cHT548ERsq/bWYmBg0bNiQVz288k496Ny5809OIj9tbW2EhYXJXFrn1atXaNSoEVs9n0tz5szB1q1bMXLkSGhoaGD//v3o0qULAgICuI4mt/Pnz0MkEuHYsWMwNTWFnZ0d7Ozs0KxZM66jSXj9+jVbZCwjIwOfPn3CwYMHYWdnx3U0Vt++fZGUlIS1a9eyBf6ePXvG6wJ/ABAQEIBjx44hNzcXNjY2GDduHNeR5JaSkoJ9+/ZBJBLhwYMHaNiwIcLCwriOJYZhGKxZswYeHh6wt7fH+vXrFXbtc0K+Rg1pQsg34VtDr0hRNV6RSIQ7d+6gV69eCAwM5F1RntIanGFhYejcuTNv3l99fX2cOXMGbdq0kXr89u3b6N27N5KTk8s3WAXTunVrDB8+HDNmzJB63NPTEwcPHsSdO3fKOZmkOnXqYPny5Rg+fDiAwkJe7du3R1ZWlsL1JhVV9ReJRAgLC+PN7500DMPg7NmzEIlEOHHiBFtEcePGjVxHQ5UqVcQK/H38+BFVqlRBSkoKbwu57dixAxMmTEC9evWgrq6Ox48fY+7cufjrr7+4jiZVdHQ0zp07h9zcXHTp0kXsAXFISAhEIhEvrgVpnj59ijFjxiA+Ph5Tp05ll38sMnXqVI6SEfJtqCFNCJGqtC/iuLg4rFmzhtc3nEXrw+7evZtdJsbOzo4XlbuFQmGJQ0mLlhfjy/vbtWtXtG7dGn///bfU425ubggODsbly5fLOZlsb9++haenJ9zd3SXm5qakpGDZsmWYPXs2r4pN+fr6YuLEiVizZg3GjRvH3mjm5eVh+/btbC+wk5MTt0EBqKqqIioqSmyOq4aGBiIjI2FqasphMtkKCgqwdu1asd5Hd3d3qKurs+c8ePCAdz3SDMPgxYsXyM3NhYWFBXtdfPr0Cbt374a3tzdCQ0M5Tln4uZaQkIAqVaqw+3R0dBAWFgZzc3MOk8n2yy+/wNbWFkuXLgUA+Pj4YMqUKUhLS+M4maRr166hb9++yMjIAAAoKyvD19cX9vb2HCeT365duzBhwgRUq1ZNrCEtEAjw6tUrDpMRUnbUkCaESCXvTY8iLJNVUFCAwMBAeHl54fTp08jOzuY6ksINOz58+DCGDx+OdevWYeLEiWyPY35+PrZu3YpZs2Zh//79vBpmOnv2bKSmpmLHjh1Sj0+YMAF6enq8K941e/ZseHp6QkdHB3Xq1AEAvHz5Eunp6Zg6dSrWrVvHccJCSkpKSEhIQOXKldl9fG80/fXXX/jjjz/QvXt3aGho4OzZsxg1apTMa4QPXr9+jQEDBuDx48cACuePHjlyhHeNfaDwmoiMjGSvCYZhYGpqiqCgINSqVYs9j+uic1/T0tLCo0eP2OkU+fn50NDQQExMDIyNjTlOJ65z587Q1dXF9u3boaGhgfnz5yMwMBCxsbFcRytVYmIixo4di6CgIKxfv14hl1QkpDhqSBNC/jMyMzOxefNmzJkzh+soZfb3339jwoQJ0NfX5yzDwoUL8ddff0FHRwe1a9eGQCBgG3hz5syR2VvNlYYNG+Kff/5Bhw4dpB6/efMmfv/9dzx58qSck5Xu9u3b8PPzw/PnzwEAFhYWGD58uMyh9VwQCoXo06ePWLGokydPolu3btDS0mL3HTlyhIt4UllaWmLatGnsWtxnzpyBra0tMjMzeVtsbNiwYQgJCYGHhwfU1dWxevVq5OfnIzg4mOtoEqSNtCkaXfP1/+fLSBtAdi96aGiozFoFXDE0NMS1a9fYaUqfP3+Grq4uPnz4wLvCiV87cOAAJk+ejKZNm0IkEvF2xAohZUUNaULID/HLL7/g1KlTnH9BfvjwAXfu3IGKigq6d+8OJSUl5ObmYuvWrfj777+Rm5tb6pIsfKSrq4uQkBDOb+yCg4Oxb98+vHjxgq2KPWLECLRq1YrTXNJoaWkhIiKixAJp1tbW+Pz5czknqxjkXf7O29v7JyeRn7q6OiIjI9lrgmEYqKur49WrV7xdhql69erw8/NjR6e8efMGZmZmSE9Ph4aGBsfpxCnaSBugsCG9bNkysTncbm5umDNnjliVeT7M31XEofNA4Wfx33//jSlTpnAdhZAfSrn0UwghpHSvX79Gbm4upxlu3ryJX3/9lV0vuEWLFvD29oatrS0KCgqwcOFCODs7c5rxW3H9zNPd3R3u7u5o1aqV1EZzTEwMXFxccP78eQ7SSaehoYHXr1/LbEi/fv2adw2RmJgYuc6T9XcqT3xqIMsrJydH7N9cIBBAVVWVF9M9ZElISICVlRW7bWJiAg0NDSQmJooNl+YDPjWQ5VWzZk3s3LlTbJ+xsTH27NnDbgsEAl40pIHCNZYTEhLYbYZhEBERITanu1GjRlxEkykkJAT16tWTefzIkSP4888/eVdtnJDSUEOaEFJhLFq0CL169cIff/wBkUiE9evXo1+/fvjzzz/h6OjI26GbisDHxwcnT57E7t278csvv4gd27FjB2bPno327dtzlE661q1bY8+ePejUqZPU47t37+ZdT/rXvUpFD0++vm75NjS2pArCfLVo0SJoamqy2zk5OVi+fDn09PTYfZ6enlxEk0ogEEAoFIrtEwqFnD9ck6ZomaOSirnxzevXr7mOUCbdu3eX+Lfv168fBAIB7z4fitSrVw87d+7EuXPnoKKigmnTpqF169a4dOkSZs2ahWfPnsHR0ZHrmISUGQ3tJoT8EHyYU2ZkZISrV6+iQYMGyMjIgI6ODg4cOIAhQ4ZwlulH4fr9TU1NxeTJk+Hv7w8PDw+4ubnhzZs3cHZ2xr1797BmzRqMHTuWk2yyXL58GT169MD06dMxZ84ctjp3YmIiVq1ahQ0bNuDcuXPo1q0bx0m/UFZWhomJCZycnPDbb79JLA9TpHHjxuWcTJIiVhDu0qVLqQ/UBAIBLl26VE6JSicUCqGnpyeWOzk5Gbq6umIN7E+fPnERT4wiFnMDZFdF55vo6Gi5zjMzM/vJScpmzZo1WLBgARo1aoSIiAgAhTU3PD09MWXKFEyaNElsGD0hioIa0oSQH4Lrhh4gOX9MR0cHDx8+RN26dTnL9KPw4f0FgOPHj2P8+PEwNjZGVFQU2rZti507d3I+N16W7du3Y9q0acjNzYWuri4EAgFSUlKgoqLCViDnk4SEBPj6+sLHxwdJSUlwcHCAi4sLrK2tuY4mQZErCCsSX19fuc7jQxVkRSzmJq0q+uHDh9G8eXOOk30/V1dXLFmyhPNGqrW1NebMmQNnZ2dcuXIF3bp1Q7du3XDo0CFOC2gS8r2oIU0I+SH40ND7eukVWcuuAPxaekVefHh/gcKGnqOjIy5evAgtLS0cP36cVz26X1uyZAlmz56NpKQk+Pv7ixVIs7Ozg4mJCdcRSxQUFARvb28EBASgfv36cHFxgYuLi8QwX64oagXhsuBLkb+y8PPzQ//+/cUqp5cXRSzmpkhV0cuKL9evpqYmnj59yl4XampquHbtGlq3bs1pLkK+FzWkCSE/BB8aesWXXvl62ZWvt/kwf2z37t0YNmyY2NJBJenbty+8vLxQrVq1n5xMNj8/P0yePBlNmjTB1q1b4eXlhQ0bNmDChAn4+++/eVe4S0lJCfHx8WIVbhVRYmIi7O3tcfXqVbx//x6GhoZcRwKguBWEy4IPn2tlxWXjSSgUIjExUWJtcT6/h4pUFb2s+PLeSxstxodchHwvfk4CIYTwXmxsLDw8PCASiQAUDqEtmoPKlcuXL3P655fFmDFj0Lt3b7kbeadOnfrJiUpmZ2eHs2fPYsWKFewSJqtWrcLAgQPh5OSE06dPw9fXF23btuU059cU/TnxzZs3IRKJEBAQAEtLS2zZsoV3wyAVsYJwRcf1da9oxdwUqSq6Itu1axe7xFheXh58fHwkhpzzpTI6IfKiHmlCyDcJDQ1Fs2bNeNG7Wxbv378X6y3hirTePD5r3749fH19pc43z8rKgpubG7Zt24acnBwO0kknrXeM7+Lj47F79254e3sjKSkJI0eOhIuLCxo0aMB1NAlFI0BKuo3gywiQb6WIPWdcZpanmBvAr4eeSkpKSEhIEPuc0NXVRWhoqMKPrODL9VurVi25ivy9evWqnBIR8mNQjzQhpMJjGAanT5/Grl27EBgYyJs1Y/lafEea69evy5ybq66ujg0bNmDw4MHlnKp03bt3L7UC74MHD8opTenMzMxQvXp1jB49Gv3794eKigry8/Ml1lflQy9vVFRUqeckJSWVQxLCF1euXOE6QpkV1U34+vM4PT0dTZs25V1VdEWlaEuMESIvakgTQiqsV69eQSQSwdfXF+np6fj1119x4MABrmOxnJycSp0jfeTIkXJKUzJ5Clx9PTySL3r16sUOJ1QEeXl5iImJwdKlS7Fs2TIAkkN1+dLLK2uJnZSUFOzbtw9eXl4ICQnhRdZvpUgPuxTBo0eP4OXlhfXr13MdheXt7c11BEKIgqKGNCGkQsnKysKhQ4ewa9cu3L59Gz169EB8fDxCQkLY6sJ8oaOjozDFbDQ1NREdHc0Of+zduze8vb3Z4meJiYmoXr067xpNc+bMUZjh84B8vbx8denSJYhEIhw5cgRmZmYYPHgwdu3axXWs70Kz375famoq/Pz84OXlhXv37vFiNMXX5Fk2LC8vrxyS/HgODg68WKWib9++8PPzY+fJL1++HJMmTWJrPnz8+BEdO3ZEeHg4hykJKTtqSBNCpBo0aFCJx5OTk8snSBm4urriwIEDsLS0hIODAw4fPoxKlSpBRUWFN0sGfW3jxo0K08jLysoSa1TcuHEDmZmZYufwrdGhiL2Jsnp5+erNmzfw8fGBSCTC58+fMXToUOTm5uLw4cOoX78+1/GkSktLw+3bt5Gbm4tWrVqVuMbu6dOnebtskyxmZmZQUVHhOgauXr0KLy8vHD58GFlZWZgzZw72798vtc4CX4WHh8PLywt79+5FYmIi13GQkZGBOXPm4NixY8jNzYWNjQ02btwo8xretm1bOSeU7uzZs2JTqlauXAl7e3u2IZ2Xl4dnz55xlI6Qb8e/O0tCCC/o6emV+GNmZoZRo0ZxHVPMjh07MHHiRJw7dw6TJk1CpUqVuI4kkyI28krDt78T3xr28li1apXYA4pr166J3YCmpaXB1dWVi2gS+vbti/r16yM8PBybNm3C27dvsWnTJq5jlSgsLAxWVlbo3bs3+vXrh7p16+LChQsyz+/QoYPcS9T9TAEBARg5ciSGDh2KHTt2lHju48ePYWpqWk7JxMXHx2PFihWoW7cuhg8fDiMjI1y9ehVCoRCjRo1SiEZ0eno6du3ahbZt26JRo0a4c+cO5s2bx3UsAICHhwd8fHzw66+/wt7eHufPn8fEiRO5jlWq4p/FivjZTIhUDCGEVBD79u1jbGxsGC0tLWbo0KHMyZMnmdzcXEZZWZl58uQJ1/HECAQCJjExkesYciueV1tbm3n58iW7nZCQwAiFQi6iyfT69WumoKBA7vN1dHTE/k5cEAqFYu9z8Ux8ep+VlJSYGTNmMJGRkWL7+fj7VqRPnz5MmzZtmBs3bjD3799n+vfvz1haWnIdq0Tbt29nBAIBY2FhwTRq1IgRCoXMvHnzuI4llZqaGuPg4MCcOXOGyc/PZ/fz+Zoocv36dWb06NGMtrY288svvzBKSkpMUFAQ17HE1K5dm/Hz82O379y5wygrKzN5eXkcpiqdIn5/ECIP6pEmhHyzQ4cOcR1BzIgRI3D+/Hk8fvwYVlZWmDRpEqpVq4aCggLezb26fPkyDA0NuY4hN4FAINbjXHybj8zMzMqUkeFBL0nxDHzIJMv169eRlpaGFi1aoHXr1ti8eTPev3/PdawS3bt3D5s2bUK7du3QrFkziEQiPH/+HOnp6VxHk2nTpk1YuHAhnj17htDQUHh5eWHz5s1cx5LKzMwMQUFBuHbtGiIjI7mOI5dVq1bBysoKw4cPR+XKlREUFISwsDAIBAIYGBhwHU9MbGwsOnbsyG63atUKysrKePv2LYepSift+4Lv3x+EyIPWkSaEyFQ0b0lFRQUWFhbs/uPHj8Pd3R1Pnz7lzVJS0jAMg7Nnz0IkEuHEiRMwMjLCoEGDsHHjRq6jYffu3XKdx5fh80KhEHp6euzNT3JyMnR1ddm55wzDIDU1lXfFxsqCD2uuFl9fvHgmPhZ1y8jIwIEDByASiRAcHIz8/Hx4enrC2dkZOjo6XMcTI239dh0dHYSFhfF2zWAtLS08evSIvQby8/OhoaGBmJgYGBsbc5xO0o0bN+Dl5YWAgABYWFjAwcEBc+fORVhYGKytrbmOJ0FZWRlubm5YsmQJlJSU2P0qKioIDQ3l1Vx/aWte8/36BQp/7/r06cNOkzh58iS6desGLS0tAEB2djbOnDnDq881QuRBDWlCiFTh4eHo168foqOjAQADBgzAtm3bMHToUISGhmLs2LGYNm0aZ3PxyurTp0/YvXs3vL29ERoaynWcEns6BAIBPn/+jLy8PN7cWPj6+sp1njwVcPmKGtLf79mzZ/Dy8sKePXuQnJyMHj164MSJE1zHYikpKSEyMpJtiDAMA1NTUwQFBaFWrVrseXyodFxEVuOf62u1NOnp6fDz84NIJMKdO3fQuXNnjBgxAra2tmINQa6tWLECPj4+yMrKgr29PRwdHdGwYUNeNqSLN0gByUYpwJ9lE4uMGTNGrvNoKTKiaKghTQiRqn///vj8+TNmzJiBffv24eDBg6hbty4cHBwwY8YM3vU0VRTx8fFYvHgxRCIRunXrhjNnznAd6Zv4+fmhf//+Yjd3fMeHxolQKMSyZcvYta/d3NwwZ84ctipvWloa3N3deduQLpKfn4+TJ0+yo0H4QigUSgwpZRiG3Vf0//n0/ha/JgDJ6wIApk6dykU8uURERLAPWD59+oTc3FyuI0m4evUqRCIRDh8+jDp16uDJkye4evUq2rdvz3U0FjVICeEXakgTQqQyNjbGqVOn0KxZMyQnJ8PQ0BDbt2/H77//znU0mWbOnFnqOQKBAGvXri2HNGWTlpaGlStXYsOGDWjQoAH++usvdO3aletY30xXVxchISG87jErjg+Za9WqJdfcQUVeb5pLV69eleu8zp07/+Qk8pPnmhAIBHj16lU5Jfp2eXl5OHHiBLu84t9//40JEyawyyDxQVpaGvbt2wdvb2/cv38frVq1gp2dnVzfL4SQ/xZqSBNCpBIKhYiPj0fVqlUBANra2njw4IHYXGm+Kd7wDAoKQvPmzaGhocHuEwgEuHTpUnlHkyknJwebN2/GihUrYGRkhGXLlsHOzo7rWN+ND727ZaUomePi4hRubWNCpOHDw6uSPHr0CF5eXti/fz/evXvHdRwAQHR0NM6dO4fc3Fx06dKFV0PPZenatavUh0F6enqwtLTEpEmTFGaaGCFfo4Y0IUSq4kVNdHV1ERoayuuCJsXxuWHEMAx2794Nd3d35OXlwcPDAy4uLmLFbhQZn997WYKCgtCyZUterBssTUJCAlasWIGdO3eKrTVN5McwDNasWYNjx44hNzcXNjY2cHd3h7q6OtfRSsQwDF68eIHc3FxYWFhAWVmZ60g/hKJ8TuTm5kJFRQUA8Msvv+DUqVOcNPyuXbuGvn37IiMjA0BhoTRfX1/Y29uXe5aymDFjhtT9ycnJuH//Pl69eoWgoCA0adKkfIMR8r3KcaktQogCEQgEjL6+PmNgYMAYGBgwAoGA0dPTY7eLfvis+FqVfPLLL78wmpqajJubGxMfH8+kpKRI/VFUfHjvra2tmY8fP7Lbv//+O/Pu3Tt2OzExkdHQ0OAimkxJSUnMiBEjGCMjI6ZatWrMhg0bmPz8fGbRokWMhoYG06JFC2b//v1cx1RYK1asYIRCIdOjRw+mf//+jJqaGvP7779zHatEUVFR7PrRQqGQMTMzY+7du8d1rB+CD58TZcVl5k6dOjH9+vVj4uLimE+fPjHjx49nTExMOMnyI7m6ujJ9+vThOgYhZUY90oQQqSpClWY+93YULRsFSF9Pk+Fh0aOy4MN7X7zacfFhpImJiew643zh6uqKkydPYtiwYThz5gwiIiLQq1cvZGVlwcPDg1dzdxWRpaUlpk2bBldXVwDAmTNnYGtri8zMTN6uazts2DCEhITAw8MD6urqWL16NfLz8xEcHMx1tO/Gh8+JsuIys6GhIa5du4aGDRsCAD5//gxdXV18+PCBd2tel0VYWBh69eqF+Ph4rqMQUiYVY2wQIeSH43MDuSK4fPky1xH+c6Q9N+Zb4ykwMBDe3t6wsbGBq6sr6tatCwsLC6xfv57raBVCdHQ0+vXrx2736tULDMPg7du3vJ13fv36dfj5+bEPUVq1agUzMzNkZmaK1X8gFV9ycrLYMmhaWlrQ1NREcnKyQjekNTQ0kJWVxXUMQsqMGtKEEKmkLRMDFPbqWVpaYu7cuWzlVb4ICwsT22YYBk+fPkV6errY/kaNGpVnLKkqes+imZkZO6eQyO/t27ds8aDatWtDXV0dY8eO5ThVxZGTkyNRfFBVVRXZ2dkcpipZQkICrKys2G0TExNoaGggMTFRbO1r8t8QHh6OhIQEdpthGERERCAtLY3dx4fvuLI4d+4crwuZEiILNaQJIVIdOXJEakM6OTkZwcHBcHBwgK+vL4YMGcJBOumaNGkCgUAg1vNY1PtUtJ8vw6X9/f1ha2sLVVVVAMDr169hamrKFhvLyMjA5s2bMXfuXC5jfrPHjx9zHQECgUDiGuZbD3RxBQUFYg8glJSUFGotbkWwaNEiaGpqsts5OTlYvnw59PT02H2enp5cRJNKIBCITQUBCh90VoSZeR07dqRe9TLq3r27xL/916Ms+PId9zVZa8mnpKTg7t278PLygo+PT/mGIuQHoDnShJBvsmXLFuzevRt37tzhOgorOjparvPMzMx+cpLSKSkpIT4+vsT5u9WrV+fNDZG5ublca9m+fPmynBKVTigUomHDhmyF47CwMFhZWbEPL/Ly8vDkyRPevMdAYeY+ffqwlcNPnjyJbt26STSmjxw5wkU8hdelSxe5HqbwaeqFUCiEnp6eWO7k5GTo6uqKNbA/ffrERTwxFf0BIcDtHGl5vuOSkpJ4V/26+IOgIjo6OrCyssLs2bN59VCeEHlRQ5oQ8k2eP3+OVq1aISkpiesoCql4IaziN2d8a0hv2LBB5rHXr19j+/btyM7O5k1eAFi8eLFc53l4ePzkJPIbM2aMXOd5e3v/5CSELxSp8KOiPSD8Fvv378eAAQN4NVIkJSUF+/btg5eXF0JCQhT6/SVEkdDQbkLIN8nMzOTd2qvPnz+Hu7s7tm/fDl1dXbFjKSkpmDhxIpYtW6ZQFWL5Ytq0aRL7Pn36hKVLl2Lbtm1o3bo1Vq5cyUEy2caMGQMTExOZvSF8RA1kbj169AheXl68Ku4mTwM5Ly+vHJKUrnjfjCL01fTt2xd+fn7s0P7ly5dj0qRJ0NfXBwB8/PgRHTt2RHh4OABgxIgRXEWVcOnSJYhEIhw5cgRmZmYYPHgwdu3axXUsQv4zFOfughDCKzt37kTTpk25jiFm9erVMDU1lWhEA4Cenh5MTU2xevVqDpJVLJmZmVi+fDlq166Ny5cv48iRI7h69SratGnDdTQx5ubm+PDhA9cxCM+lpqZi+/btaNWqFRo3bowrV65wHUlu4eHhmDVrFm8rjiuCs2fPihWbW7lypdgw+by8PDx79oyLaFK9efOGfSBsb28PAwMD5Obm4vDhw1i2bBnvvpeL5OXlYfXq1WjWrBm0tbVhaGiINm3aYPv27QrxwIUQaahHmhAi1cyZM6XuT0lJwb179/Dy5Utcv369nFOV7Nq1a9izZ4/M40OHDuVVb8LZs2fZXpCCggJcvHiRLdKVnJzMYTLp8vPzsXPnTixevBjq6urYtGkTHBwceFvAi27OSEmuXr0KLy8vHD58GFlZWZgzZw7279+PunXrch2tROnp6Thw4AC8vLxw9+5dtGnTBvPmzeM6lsJSpF70vn37IigoCP369cOmTZvQu3dvKCkp4Z9//uE6WokyMzPRo0cP3Lp1CzY2NujUqRO7qoarqytOnjyJEydOICoqCtevX4eTkxPXkQmRCzWkCSFSPXz4UOp+XV1d9O7dG66urrwo2vW16OhosTU2izMyMkJsbGw5JipZ8SGb48ePF9vmUwPV398ff/zxB1JSUrBgwQJMnDiRLShEiKKIj4+Ht7c3RCIRPn/+DHt7e1y9ehVt27bFqFGjeN2IDgoKwq5du3D48GGYm5sjPDwcV69eRfv27bmOJkbRHhAqknPnzmHq1KmYOHEi6tWrx3Ucuf3111+IjY3Fw4cPJZbmCg0NRf/+/TFjxgwcPnwYbm5uHKUkpOyoIU0IkYpPVWvlpaenh5cvX8ps4L948ULqsG8uFBQUcB2hTIYPHw4NDQ3Y29sjOjpaZg8Yn5YNAoBdu3ZBW1u7xHOmTp1aTmkI18zNzTFkyBBs2bIFPXr0UIj586tWrYJIJEJ6ejrs7e0RFBSExo0bQ0VFBQYGBlzHk6BIDwgBxVom7/r16xCJRGjRogWsrKzg6OiIYcOGcR2rVAcOHICnp6fU9a0bN26MNWvWYNiwYRgzZgymTJnCQUJCvg1V7SaEVBhDhw5Fbm4ujh49KvX4gAEDoKqqioCAgHJOJsnZ2RkbNmyAjo4O11HkIs+yQQKBAJcuXSqnRKUTCoUwMTFhl96RRiAQ4NWrV+WYinDJ0tISOTk5GDFiBBwdHWFlZQUAUFFRQWhoKOrXr89xQknKyspwc3PDkiVLxK5lPmdWJKUtOZednY0zZ87wqhJ2RkYGDhw4AJFIhODgYOTn58PT0xPOzs68/E5RV1fH8+fPYWpqKvV4bGwsatWqxav3mBB5UEOaEFJhPHz4EG3btkW/fv0wd+5cWFpaAgCePn2KVatWITAwEDdv3kSzZs04Tiq5TAz58YovMUYIANy4cQNeXl4ICAiAhYUFHBwcMHfuXISFhcHa2prreBJWrFgBHx8fZGVlwd7eHo6OjmjYsCE1pH8QJycnuXqg+VpR/9mzZ/Dy8sKePXuQnJyMHj164MSJE1zHElOlShWcPn0azZs3l3r87t276Nu3L96/f1/OyQj5PtSQJoRUKP/++y+cnZ3x8eNHsf2VKlXCrl270L9/f46SiVP0Rt6HDx8gEAhQqVIlrqPIRA8rSEnS09Ph5+cHkUiEO3fuoHPnzhgxYgRsbW1RuXJlruNJuHr1KkQiEQ4fPow6dergyZMnvJsjff/+fcyePRvHjx+XugShra0t1q9fj8aNG3OUsOLKz8/HyZMnIRKJeNeQHjZsGPLy8nD48GGpxwcPHgwlJSX4+/uXczJCvg81pAkhFU5mZibOnDmDFy9egGEYWFhYoGfPntDU1OQ6GksoFCIxMZGXN+yyJCcnY+HChTh48CCSkpIAAAYGBhg+fDiWLVvGrrvKF4r+sIKUn4iICLZX79OnT8jNzeU6kkxpaWnYt28fvL29cf/+fbRq1Qp2dnYyV1ooTyNGjIC1tTUWLVok9fiKFSsQHh6OvXv3lnMy2eiB288XHh6O1q1bo0GDBpg5cyY7pSI8PBzr1q1DeHg4bt++jQYNGnCclJCyoYY0IeQ/65dffsGpU6dkztv6mYRCIfT09EodUvj1eqZc+vTpE9q2bYu4uDiMHDkS1tbWYBgGERER2L9/P0xNTXHz5k1eFT9avHgx5syZw6sHKITf8vLycOLECQwaNAgA8Pfff2PChAm8e0hU5NGjR/Dy8sL+/fvx7t07ruOgTp06OHr0qNSiUkBh3gEDBvCqLgE9cCsft2/fhouLCyIiItjvPYZhYGVlhV27dqFdu3YcJySk7KghTQj5z9LR0UFoaChq165d7n+2UCjE+vXr2WViZCleAZcr06dPx8WLF3HhwgVUrVpV7FhCQgJ69uyJ7t27Y926dRwllO3u3bvw8/NDZGQkBAIB6tWrhxEjRqBFixZcRyM8p6uri5CQEE4+I8oiNzcXKioqALh9QKiuro6IiAiYm5tLPR4VFYX69esjMzOznJPJRg3p8hUSEoLIyEgAQL169dC0aVOOExHy7Wj5K0II4cjw4cMV5ubt2LFj2L59u0QjGgCMjY2xatUqTJgwgXcN6blz52LNmjXQ1tZG7dq1wTAMrly5gg0bNmD27NlYuXIl1xEJjylKX0NRIxoAXr9+zdnQ9MqVK+PZs2cyG9JPnz6FkZFROacq3ddrX8vCl/oaiq5JkyZo0qRJiecoygMsQqghTQghHODrOqWyxMfHlzh/rWHDhkhISCjHRKXz9fXFpk2bsHHjRowfP55tbOTm5mLbtm1wc3NDgwYNMGrUKI6TElIx2NjYYPny5ejdu7fEMYZhsGLFCtjY2HCQrGSljfwRCAS0NFM5UpQHWIRQQ5oQQjigaDcKRkZGeP36NUxMTKQej4qK4l0F7y1btmDFihWYPHmy2H4VFRVMnToVeXl52Lx5MzWkCflB/vjjDzRv3hytW7fGrFmzYGlpCYFAgIiICKxduxaRkZG8XEaKhnYTQr6FkOsAhBDyX1RQUKBQN269e/fGwoULkZOTI3EsOzsbixYtktoLxaUnT55gwIABMo/b2triyZMn5ZiIkIqtTp06uHDhAj5//ozhw4ejWbNmaNq0Kezt7ZGRkYHz58+jbt26XMcUo2ijgwgh/EE90oQQwgFnZ+dSzxEIBPDy8iqHNKVbvHgxWrRogXr16mHSpEliy5ds3boV2dnZ2LNnD8cpxSkpKUlt+BfJzc2FkpJSOSYipOJr0aIFHj9+jIcPH4otQVg0LzYjI4NXlfQVbXQQIYQ/qCFNCPnPiI2NhYeHB0QiEQDILJ5VHorWYZYmPz8fFy5cQHZ2Nm8a0iYmJrh16xZcXV0xf/589uZTIBCgR48e2Lx5MydVgkvSvHlz7Nu3D0uXLpV6fM+ePWjWrFk5pyKKpGPHjtDQ0OA6hkJq2rSpWEXmrKwsbNmyBatXr+ZVPYXRo0fTvzHP0CgBoiho+StCyH9GaGgomjVrxuuiMcePH8eCBQvw9u1buLm5Yd68eVxHkpCUlITnz58DAOrWrQtDQ0OOE0n377//wtbWFjNnzsSsWbPYhyYJCQlYu3Yt1q9fj6NHj6Jfv34cJyXlxd/fH7a2tlBVVQVQWOHa1NSUHZmQkZGBzZs3Y+7cuVzG/C779+/HgAEDoKWlVe5/dk5ODhYvXoxz585BRUUFc+fOha2tLby9vbFw4UIIBAJMnjwZ8+fPL/dspYmLi8Phw4fZZfIsLCwwaNAg1KhRg+to/zlcLk1JSJkwhBDyHxESEsIIhUKuY0gVFBTEtG/fntHU1GTmzp3LfPr0ietIFcLGjRsZVVVVRigUMgYGBoyBgQEjFAoZFRUVZt26dVzHI+VMKBQyiYmJ7LaOjg7z8uVLdjshIYF3nxF9+vRhkpOT2e1ly5YxSUlJ7PaHDx8Ya2trDpJJmj9/PqOrq8sMHjyYMTY2ZpSVlZlx48YxFhYWjI+PD5OTk8N1RKm2bNnCqKmpMQKBgNHX12f09PQYgUDAqKmpMVu2bOE6XoWVm5vLpKWlSey/fv06k5WVxUEiQsqGhnYTQgiHnjx5gnnz5uHMmTMYNWoUDhw4ILMyNpcGDRok13lHjhz5yUnKZsqUKRg4cCACAgLYXnQLCwsMHjyYd0PRyc/HFBuEV3ybj86ePYvs7Gx2e+XKlbC3t4e+vj4AIC8vD8+ePeMonTh/f3/4+Phg4MCBCA0NRdOmTZGamoonT55AWZmft5yBgYGYOnUqpk+fjlmzZqFatWoACpf8W716NaZNm4ZatWqhb9++HCdVXKdOncLHjx/h6OjI7lu+fDmWLl2KvLw8dOvWDQcPHoSBgQEAoEOHDlxFJaRM+PmpRgghFVxsbCzc3d2xd+9e9OvXD2FhYbC2tuY6lky6uroKO2/NxMQEM2bM4DoGId9EkRr/sbGxaNmyJQCgcePGUFVVhZubG28b0QCwatUqzJs3D8uWLRPbX61aNXh6ekJTUxMrV66khvR3WLNmDQYPHsxu37x5E+7u7liyZAmsra2xcOFCLF26FJ6enhymJKTs+PvJRgghZVRar2lycnL5BJFD0fqqs2bNQrt27fD8+XO2x/Rr/fv35yCdJB8fH64jlNm1a9fkOq9Tp04/OQkh/w25ubns/HOgcM12PT09DhOV7uHDh9ixY4fM446OjtiwYUM5Jqp4Hj9+jLVr17Lbhw4dQo8ePbBw4UIAgLq6OqZNm0YNaaJwqCFNCKkwSrth09PTw6hRo8opTcmysrIAFPaGyCIQCHhTGE1JSQnx8fEKtfZ1ly5d2F50Wb14fHqPSfk4e/Ys+1lRUFCAixcv4vHjxwD49bCtiEAgkBgNwufRIe7u7uzyVjk5OVi2bJnEZzOfGkwFBQVQUVGReVxFRYXXowAUQVpaGipVqsRuBwUFwc7Ojt1u0KAB3r59y0U0Qr4LNaQJIRWGt7c31xHkVlBQwHWEMlHEG0kDAwPo6OjAyckJjo6OMDIy4joS4YHRo0eLbY8fP15sm2+NVIZh4OTkBDU1NQCFD+EmTJjAVuX+ev401zp16iQ2X7tdu3Z49eqV2Dl8e38bNGiA48ePy5z+cezYMTRo0KCcU1Us1atXR0REBGrWrIn09HSEhoZi3bp17PGPHz/yam1xQuRFDWlCyH9CQUEBAgMD4eXlhWPHjnEdh5SD+Ph4HD16FCKRCKtWrULfvn3h4uKC3r178+5mnpQPRXuABQCjRo0Su14dHByknsMHV65c4TpCmbm6umLixIlQU1PDuHHj2PnceXl52L59O/744w9s3bqV45SKzc7ODtOnT8eCBQtw6tQpGBsbo02bNuzxe/fuwdLSksOEhHwbWkeaEFKhPX/+HCKRCL6+vkhKSkKvXr141ZAOCAiAn58fu3ZpvXr1MGLECLFhb3wgFArh6+tb6vB5vszpLi42Nhbe3t7w9fVFdnY2Ro8ejcWLF/O6CBIhpHzMnj0bnp6e0NHRQZ06dQAAL1++RHp6OqZOnSrWe0rKLiMjA+PHj8e///4LY2Nj7NixAx07dmSPd+3aFb1794abmxuHKQkpO2pIE0IqnMzMTPj7+8PLywu3b99Gfn4+1q1bB2dnZ2hra3MdD0Bhz5i9vT0CAgJgYWEBKysrMAyDp0+f4sWLFxgyZAj8/Px403MqFApLPUcR5htHRUXBxcUFV69exfv372FoaMh1JFKO7t+/j9mzZ+P48ePQ1dUVO5aSkgJbW1usX78ejRs35iihJEWqT+Ds7Cx1v56eHiwtLeHg4MCbz+Dibt++DT8/P7Fl8oYPHy7Wc0oIIV+jR/GEkAojODgYu3btwsGDB2FhYQEHBwcEBATAxMQENjY2vLqBW79+PS5cuIATJ06gX79+YsdOnDiBMWPGYMOGDZg+fTo3AaVISEhQiJv54rKzs3H48GGIRCLcunULv/76KwIDA6kR/R+0du1adOvWTaIRDRQ29nr06IHVq1dj7969HKSTTpH6O5KSkqTuj4qKwr59+7B06VJcv34dtWvXLudkpWvTpg01mgkhZUI90oSQCkNZWRlTpkzBhAkTxOZbqaioIDQ0FPXr1+cwnbhGjRph+vTpMntwvLy8sH79ejx69Kick0mnSL1iRYKDg+Ht7Y0DBw7A3NwcTk5OcHBwoAb0f1idOnVw9OhRNGrUSOrxR48eYcCAARIFsrgkFAoV9iHW1zIzM9n53v7+/lzHYcXExMh1Xs2aNX9ykoqra9eupY6uEggEuHjxYjklIuTHoB5pQkiF0a1bN3h5eeHdu3dwdHREr169eDM0urjnz5/DxsZG5nEbGxtMnjy5HBOVTJ5nriEhIWjSpMnPDyOnNm3aoGbNmpg6dSqaN28OoHDZleL4Oq+b/HhxcXHQ0dGReVxbWxvx8fHlmEg+Xy/ZJQvfr2MNDQ24ublh0KBBXEcRY25uzv7/os+5r783GIZRiGkrfFbS90Jqair8/Px4VX2eEHlRQ5oQUmGcO3eOLSo1ceJEZGZmYtiwYQD4t+SKhoYGkpOTZfZypKamQkNDo5xTyTZ69GipeVJSUrBv3z7s2rULoaGhvLvZjImJwdKlS2Uepxvk/5bKlSvj2bNnYo2nrz19+pSXy6QVX7KrOEW5jg0NDXm3VrdAIICJiQmcnJzw22+/UQHCn0Basba8vDxs2bIFy5cvR40aNUr8nCaEr2hoNyGkwjp//jxEIhGOHTsGU1NT2NnZwc7ODs2aNeM6Gn799VfUrFkT27Ztk3p8woQJiI2NRWBgYDknk8+lS5cgEolw5MgRmJmZYfDgwRg8eDCaNm3KdTRCZBozZgxevHiB69evSxxjGAadOnVC3bp1ebUmfUUZ2g0Ae/fuxdq1a/Hw4UOuo7ASEhLg6+sLHx8fJCUlwcHBAS4uLrC2tuY6WoW1b98+uLu7IzMzE3/88YfYsmOEKBJqSBNCKrykpCTs3bsXIpEIYWFhvOi5uXnzJrp06QJbW1vMnj2brdodERGBtWvX4vjx47h8+TLat2/PdVTWmzdv4OPjA5FIhM+fP2Po0KH4559/eDf/nBBZXr58iebNm8PS0hKzZs2CpaUlBAIB+3sXGRmJe/fuoW7dulxHZSlSfYKwsDCp+1NSUnD37l2sWLECy5Ytw4QJE8o5mXyCgoLg7e2NgIAA1K9fHy4uLnBxcZFr1QJSujNnzmDevHmIiorC7NmzMXPmTGhpaXEdi5BvxxBCyH/I/fv3uY7AOnLkCGNkZMQIhUKxn0qVKjGHDh3iOp6YPn36MDo6Ooy9vT3z77//Mnl5eQzDMIyysjLz5MkTjtNJN3HiRCYtLY3d3r17t9h2UlIS06dPHy6iEQ7dvXuXadCgASMQCNjfOYFAwDRo0IAJDg7mOp4EgUDAJCYmch1DLkXvqUAgkPipUqUKs2rVKq4jyiUhIYHp2rUrIxQKmY8fP3IdR+HduXOH6dKlC6Ours5Mnz6def/+PdeRCPkhqEeaEFJhyOoNKU5WxV4uZGRk4OzZs2Jrl/bs2ROampocJxOnrKyMqVOnYuLEiahXrx67n48V0YsU78nT1dVFSEgIu/ROYmIiqlevzosRCqT8PXz4EC9evADDMLCwsGALImVkZPDq92/MmDHYuHFjiUXS+CI6Olrqfj09Pejr65dvmG9w8+ZNiEQiBAQEwNLSEs7Ozhg3bhz1SH8noVAIDQ0NjB8/HrVq1ZJ53tSpU8svFCE/ADWkCSEVhlAohEAgKLHCNF+K8ly6dAmTJ0/G7du3Jda0TUlJQbt27fDPP/+gY8eOHCUUd+vWLYhEIvj7+8PKygqOjo4YNmwYqlevztuGdPG5pTo6OggNDaWGNJEqKysLW7ZswerVq5GQkMB1HAlxcXE4fPgwIiMjIRAIYGFhgUGDBqFGjRpcR1No8fHx2L17N7y9vZGUlISRI0fCxcUFDRo04DpahVGrVi25lr/i07JzhMiDGtKEkApDVm9IcWZmZj85Sen69++Prl27YsaMGVKPb9y4EZcvX8bRo0fLOVnJMjIycODAAYhEIgQHByM/Px+enp5wdnbmXY8ZNaRJcTk5OVi8eDHOnTsHFRUVzJ07F7a2tvD29sbChQshEAgwefJkzJ8/n+uoYrZu3YqZM2ciJycHenp6YBgGqampUFVVhaenJ1xdXbmOKCYgIAB+fn5so79evXoYMWIE7OzsuI4mQVVVFdWrV8fo0aPRv39/qKioSD2PTyOZCCH8QA1pQgjhgJmZGc6cOSOzMuzTp0/Rs2dPxMTElHMy+T179gxeXl7Ys2cPkpOT0aNHD5w4cYLrWCxqSJPiFixYgC1btqBHjx64ceMGPnz4AGdnZ1y5cgULFizAiBEjZDakuBIYGIgBAwZg+vTpmDVrFqpVqwagsCd19erV2LRpE44fP46+fftynBQoKCiAvb09AgICYGFhwRZRfPr0KV68eIEhQ4bAz8+PV8sRfj1suyhX8VtjvoxkUmQFBQXw8fHBkSNH8Pr1awgEAtSuXRuDBw+Go6Mjr64JQuRFteYJIRXG8+fP4e7uju3bt0sdLj1x4kQsW7aMbUhxKTExscQbdmVlZbx//74cE5WdpaUlVq1ahb/++gsnT56ESCTiOpIEd3d3dr5rTk4Oli9fDj09PQCFvevkv8Xf3x8+Pj4YOHAgQkND0bRpU6SmpuLJkye8XX5n1apVmDdvHpYtWya2v1q1avD09ISmpiZWrlzJi4b0+vXrceHCBZw4cQL9+vUTO3bixAmMGTMGGzZswPTp07kJKEVUVBTXESo8hmHw22+/4fTp02jcuDF++eUXdpUKJycnHDlyBMeOHeM6JiFlRj3ShJAKY9y4cdDX18eqVaukHndzc0NqaqrMtZvLU506dbBmzRoMHDhQ6vEjR45g9uzZNGfsO3Tp0kWuXo7Lly+XQxrCB2pqanj58iVMTEwAAOrq6rh9+zZbaIyPdHV1cffuXVhaWko9/uzZM7Ro0QJpaWnlnExSo0aNMH36dDg7O0s97uXlhfXr1+PRo0flnIxwydvbG9OmTcPx48fRtWtXsWOXLl2Cra0tNm/ejFGjRnGUkJBvQ2UICSEVxrVr1zBkyBCZx4cOHYpLly6VYyLZ+vbtC3d3d2RlZUkcy8zMhIeHh0SPDpfu3LmD06dPi+3bvXs3zM3NUaVKFYwbNw7Z2dkcpZPuypUruHz5cqk/5L8jNzcXqqqq7LaKigo7QoGvCgoKShy9oqKiUmKBxfL0/Plz2NjYyDxuY2ODFy9elGOi0q1atQqZmZns9rVr18Q+y9LS0ng3B13R+Pn5YcGCBRKNaADo1q0b5s2bh3379nGQjJDvQz3ShJAKQ0NDA0+fPpVZTCw6OhrW1ta8GNKbmJiIZs2aQUlJCZMnT4alpSUEAgEiIiKwZcsW5Ofn48GDB6hatSrXUQEAffr0QZcuXeDm5gYAePToEZo1awYnJydYW1tj9erVGD9+PP78809ug5bR3bt30bJlS65jkHIiFAoxbtw4drj/li1b4ODgINGY9vT05CKeVK1bt8bw4cNlFib09PTEwYMHcefOnXJOJsnQ0BBXrlyRWZjr0aNH6Ny5Mz59+lTOyWSjZfJ+PmNjY5w5c0bmyI+HDx+iT58+vKyWT0hJ+DkhiBBCvoGenh5evnwpsyH94sULibnTXKlatSpu3ryJiRMnYv78+WyPkkAgQK9evbB161beNKIBICQkBEuXLmW3Dxw4gNatW2Pnzp0AAFNTU3h4ePCyIZ2eng4lJSVoaGiw+0JCQrBo0SKcOnWKbpD/Qzp16oRnz56x2+3atZOYPsG3okeurq6YOHEi1NTUMG7cOHYud15eHrZv344//vgDW7du5ThlobZt22Lbtm0yp89s2bIFbdu2LedUJSven0T9Sz/ep0+fSvw+q1q1KpKSksoxESE/BjWkCSEVRqdOnbBp0yZ069ZN6vGNGzfyZl1moLBy96lTp5CUlIQXL16AYRjUq1cPBgYGXEeTkJSUJHYjdPXqVfTu3ZvdbtmyJWJjY7mIJtObN28wbNgw3L59m+35X7ZsGSZMmAA/Pz8MGDAAQUFBXMck5ejKlStcRyiz0aNH49GjR+yyXHXq1AEAvHz5Eunp6Zg6dSqcnJy4Dfl/CxcuRJcuXfDx40fMnj2brdodERGBtWvX4vjx4zSd4j8oPz+/xGJ+SkpKyMvLK8dEhPwY1JAmhFQY8+fPR9u2bWFnZ4e5c+eyxXmePn2KVatW4ezZs7h58ybHKSUZGBjwfnhx1apVERUVBVNTU+Tk5ODBgwdYvHgxezwtLY13ywbNmzcP6enp2LBhAw4fPowNGzbg6tWraNy4MSIjI2Fubs51RELksmbNGtjZ2cHPzw/Pnz8HUPjgcPjw4WjTpg3H6b5o164dDh48iHHjxuHw4cPsfoZhYGhoCD8/P7Rv357DhIQLDMPAyckJampqUo/zrb4GIfKihjQhpMJo2rQpDh06BGdnZxw9elTsWKVKleDv749mzZpxlE6x9e7dG/PmzcPKlStx7NgxaGpqivXuh4WFsT1lfHH58mX4+/ujffv2sLOzQ/Xq1TFkyBDMmzeP62iEI7KqSevp6cHS0hIODg7Q1tYu51TyadOmDa8azbIMHDgQvXr1wtmzZ9lGv6WlJXr27Ck2vYJPdu3axf675+XlwcfHB0ZGRgDAi2roim706NGlnkMVu4kiomJjhJAKJzMzE2fOnGGHS1tYWKBnz55sgSFSdu/fv8egQYNw48YNaGtrw9fXV2zpru7du6NNmzZYvnw5hynFKSkpIS4uDsbGxgAALS0t3Lt3D9bW1hwnI1yRtdxccnIynjx5AhUVFVy/fp0Xa80XiYmJkeu8mjVr/uQkpbtz5w4+ffqEPn36sPt8fX3x559/4vPnz7C1tcWmTZtk9kxyoVatWnLNi6f1pgkhxVFDmhBCiNxSUlKgra0NJSUlsf2fPn2Ctra22NJCXFNSUkJCQgIqV64MANDR0UFYWBgN6SZSZWZmYtSoURAIBPD39+c6Duvr37WvixJ+vU8gEPCiaJ606v7NmzfH6NGjFbq6f1xcHGrUqMF1DEIIz1BDmhBSYfTt2xd+fn7sUjbLly/HpEmToK+vDwD4+PEjOnbsiPDwcA5TVlyHDh2CnZ0d1zFYQqEQDRs2ZIvchIWFwcrKSqKx/+DBAy7iER66d+8eBg0aJHcvcHlQVlaGiYkJnJyc8Ntvv8ks2tS4ceNyTiapWrVqOHnyJFq0aAGgsPjY1atX2aJ+AQEB8PDwUJjP4ISEBKxYsQI7d+4UW2uaEEIAmiNNCKlAzp49K1a0ZOXKlbC3t2cb0nl5eWJL35CyKXr/VFRUYGFhwe4/fvw43N3d8fTpU141pD08PMS2BwwYwFESoigMDQ2RnJzMdQwxb968ga+vL3x8fPDPP//AwcEBLi4uvJyioIjV/ZOTkzFp0iScO3cOKioqmDdvHiZPnow///wTa9asQYMGDSASibiOSQjhIWpIE0IqDFoP9OcJDw9Hv379EB0dDaCwUbpt2zYMHToUoaGhGDt2LP7991+OU4or3pAuzY0bN9CiRQtezd8k5evmzZu8K5pnbGwMNzc3uLm5ISgoCN7e3mjdujXq168PFxcXuLi4QCgUch0TgGJW91+wYAGuXbuG0aNH48yZM5gxYwbOnDmDrKwsnD59Gp07d+Y6IiGEp6ghTQghpFTz5s2Dubk5Nm7ciH379uHgwYN4/PgxHBwc8O+//0JHR4friN+tT58+CAkJ4VWhKfJjhYWFSd2fkpKCu3fvYsWKFVi2bFk5p5Jfhw4d0KFDB6xYsQL29vaYMGECBg8eDENDQ66jAVDM6v6BgYHw9vaGjY0NXF1dUbduXVhYWGD9+vVcRyOE8Bw1pAkhFYZAIJCovipPNVZSuuDgYJw6dQrNmjVDhw4dcPDgQcyZMwe///4719F+GBrBUPE1adIEAoFA6r915cqV4ebmhgkTJnCQTD43b96ESCRCQEAALC0tsWXLFnbqCh8sW7YMgwYNQufOndnq/l/XJBCJROjZsyeHCSW9ffsW9evXB/C/9u48qMrrDuP4c+/FBQyXQkWUihZUIC7UMZO0mFpJQo0SxNpWLbiwqKlN1LFtxnGZaDJWZ9ToGB2LDhHQTkVDJFVLqxmXihWtaV1rcItLcMEVFBeIcG//6HgTBAIm8b7cl+9nxhnf95w/nlFBfvf8zjlSWFiYWrdurXHjxhmcCoAnoJAGYBpOp1MpKSmu1tyKigpNmDBBbdq0kaQa+6fxeK5eveo6tfY73/mOfHx8aHmEx6nvCiM/P78mVZB+2eXLl7VmzRplZWWptLRUI0eOVGFhoXr06GF0tFoCAwO1e/fuek/3z83NbXL3dDscjhrt5jabzfV/BgB8FQppAKaRnJxc43nUqFG15owZM8ZdcUzFYrHU2IdptVqb3F5HoCGdO3c2OsJj69y5s4KDg5WcnKyEhAS1aNFC1dXVtdrUo6KiDEpY28ObEx7VVFrQv6yhD2AfysvLMyIegCaM668AAA2yWq3y8/NztcqXlZXJbrfXOuTo5s2bRsT7Vvj6+urw4cPskW4GcnNzlZOTo5MnT8pisahbt25KSkpqUqfOP/Tlr7GHX3+P/ujWVO6R9kSpqamNmpeVlfWEkwDwNKxIAzCV8+fP66OPPtKDBw8UExPj2vuGb6Y5/BDJfnrzczgcSkxMVG5ursLDwxUZGSmn06ljx45pxIgRGjZsmHJycprUv4X62tHx7WgO39sAPBkU0gBMo6CgQHFxcbp3754kycvLS6tXr1ZiYqLByTzfo23znuCzzz5TSEhIo4siGrTMb8mSJdq2bZs2bdqk+Pj4GmObNm1Samqq3n33XU2ZMsWYgHXwxHZ0AGgOmsbFgwDwLXjzzTf1wgsv6MKFC7px44bS0tI0depUo2OZwv79+2u0jj5adFZWVur99993d6yvFBoaqmvXrjV6fnl5OW3dJpedna2FCxfWKqIlKSEhQQsWLNCqVasMSFa/BQsW6P79+67ngoKCGgcnlpeX67XXXjMiGgA0a+yRBmAaAQEBKigoUM+ePSVJd+/eld1u1/Xr1+Xv729wOs9ms9l0+fJltWvXTpJkt9tr3Ll85coVBQcHN6l9mlarVSUlJa7MgLe3t06cOKFOnTrVOX7+/HlFRkbWKFyN5olfewDQHLAiDcA0ysrKahRNbdq0kY+Pj8rKyowLZRKPfuZa12ewfC6Lps7b2/srvx/cvn1b3t7e7gvUCI352gMAuB97pAGYyieffKKSkhLXs9PpVFFRkcrLy13vmtI1MWbSlA5oeui9995r8N7ayZMnuykNjBYdHa309HSlp6fXOb58+XJFR0e7ORUAwBNRSAMwlZdeeqnWik18fLwsFoucTifXxDQzK1askM1mq3fcYrFQSDcjM2fOVExMjG7cuKE33njDdWp3UVGRFi1apI0bN2rnzp1GxwQAeAAKaQCmwTUxT9aXV/udTqeOHz+uO3fuSJKuX79uZLR6/fvf/2aPNFz69u2r9evX69VXX9WGDRtc751OpwICApSTk6Pnn3/ewIR1+3JnRVVVlbKzs9W2bVtJqtFtAwBwHw4bAwA0yGq1ulb1H9VUV/sfPaQJeOjevXvaunWrTp06JUmKiIjQgAEDmtz+aEn6/ve/36htE3yQCADuxYo0ANO4efOm7t27p44dO7reHTt2TO+8847u3r2rn/3sZ0pKSjIwoefyxB/S+ZwYj/rXv/6lmzdvatCgQRo6dKgkafXq1ZoyZYrre8SyZcvUqlUrg5N+4dy5cw3OuXjx4pMPAgCogUIagGm8/vrr6tChgxYvXixJunr1qvr166fg4GB16dJFKSkpqq6u1ujRow1O6nlKS0vVu3dvo2M8ltmzZzd40Bial7feeksxMTEaNGiQJOno0aMaP368kpOT9fTTT2vhwoUKDg7WW2+9ZWzQRiopKdG8efOUkZHRpK7sAoDmgOuvAJjGvn37lJCQ4Hpes2aNAgICdOjQIW3cuFHz5s3T8uXLDUzoufr06aNnnnlG6enpunXrltFxGmXSpEm6efNmjXfHjh1Tamqqhg8frrVr1xqUDEY5dOiQXnrpJdfzunXr9NxzzykjI0O/+93vtHTpUr3//vsGJqytrKxMI0eOVGBgoIKDg7V06VI5HA7NmjVLYWFh2rt3rzIzM42OCQDNDoU0ANMoKSlRaGio63nHjh0aOnSovLz+33yTkJDg2hOJx7Nnzx716dNH06ZNU4cOHTRq1Kgmf7rx66+/7upOkL7oUPj4449VWVmplJQU/elPfzIwIdyttLRUQUFBruddu3Zp4MCBrudnn31WxcXFRkSr14wZM1RQUKDk5GQFBATot7/9reLj4/XPf/5Tf//73/Xxxx8rMTHR6JgA0OxQSAMwDbvdrrKyMtfz/v379aMf/cj1bLFYVFlZaUAyzxcdHa2MjAyVlJQoPT1dFy5cUGxsrLp06aK5c+fqwoULRkeshQ4FPCooKMi13//zzz/XgQMHatwbXV5erhYtWhgVr075+fnKysrSO++8o02bNsnpdCo8PFw7duxQ//79jY4HAM0WhTQA03juuedcbY8ffPCBysvL9eKLL7rGT548qZCQEAMTej5vb28lJyfrH//4h06ePKnExEStXLlSoaGhiouLMzpeDXQo4FEDBw7UtGnTtHv3bk2fPl0+Pj7q16+fa/zIkSPq0qWLgQlru3Tpkrp37y5JCgsLU+vWrTVu3DiDUwEAKKQBmMacOXO0ceNGeXt7a8SIEZo6dar8/f1d4+vWrWMF51vUpUsXTZs2TTNnzpTdbtfWrVuNjlQDHQp41B/+8AfZbDb1799fGRkZysjIUMuWLV3jmZmZGjBggIEJa3M4HDVWyW02m9q0aWNgIgCAxKndAEykd+/eKioqUmFhodq3b68f/vCHNcZ/9atfuVZ28M3s2rVLmZmZ2rBhg2w2m4YPH66xY8caHauGhx0KGRkZysvLo0MBCgwM1O7du3Xr1i099dRTstlsNcZzc3Ob3EnvTqdTKSkpriu5KioqNGHChFrFdF5enhHxAKDZsji5aBNAM9WrVy/97W9/o5hqpOLiYmVnZys7O1tnz55V3759NXbsWA0fPrxJrpAdOnRIsbGxKi8vV1VVlWbMmKE5c+a4xkePHq02bdpoxYoVBqYEvlpqamqj5mVlZT3hJACAL6OQBtBs+fr66vDhwwoLCzM6SpP305/+VDt37lRgYKDGjBmjtLQ0RUREGB2rQdeuXau3QyE/P1/du3evsY8aAACgMWjtBgA0yNvbWxs2bFB8fHytdtimLDAwUEOGDKlz7JVXXnFzGgAAYBYU0gCABm3atMnoCI9t6dKljZo3efLkJ5wEAACYDa3dAJotWrsbLy0trcE5FotFq1atckOaxmlMy7bFYtGZM2fckAYAAJgJK9IAgAaVlpbWO1ZdXa1t27apsrKySRXSZ8+eNToCAAAwKQppAECDPvzwwzrfb9y4UTNmzFCrVq00a9YsN6dqmMPhUHZ2tvLy8nTu3DlZLBaFhYXpF7/4hUaPHi2LxWJ0RAAA4IGsRgcAAHe6ePGi6/crV65UUFCQgWk81549e/TjH/9YSUlJio+P15kzZzRt2jSjY9XgdDo1ePBgjRs3ThcvXlSvXr3Uo0cPnTt3TikpKRo6dKjREQEAgIeikAbQLJSUlGjSpEnq2rWr611SUlKTvP+4KTt27JgGDx6smJgYRURE6MSJE5o/f778/f2NjlZLdna2du/ere3bt+vgwYPKycnRunXrdPjwYW3btk07duzQmjVrjI4JAAA8EIU0ANMoKyvTyJEjFRgYqODgYC1dulQOh0OzZs1SWFiY9u3bp8zMTKNjeqTi4mKlpqaqd+/e8vLy0pEjR7Rq1Sp17NjR6Gj1ysnJ0YwZM/TCCy/UGnvxxRc1bdo0/fnPfzYgGQAA8HSc2g3ANF577TVt3rxZI0aM0JYtW1RUVKSXX35ZFRUVmj17tvr37290RI/l4+Mji8WiSZMmqW/fvvXOS0hIcGOqr9a+fXtt2bJFvXv3rnP84MGDGjRokEpKStwbDAAAeDwKaQCm0blzZ61atUqxsbE6c+aMunbtqsmTJ2vJkiVGR/N4VmvDDUwWi0XV1dVuSNM4LVu21Pnz59WhQ4c6xy9duqTQ0FBVVla6ORkAAPB0nNoNwDQuXbqk7t27S5LCwsLUunVrjRs3zuBU5uBwOIyO8Niqq6vl5VX/f3M2m01VVVVuTAQAAMyCQhqAaTgcDrVo0cL1bLPZOEysGXM6nUpJSVGrVq3qHGclGgAAfF0U0gBM49HCqaKiQhMmTKhVTOfl5RkRzxRyc3OVk5OjkydPymKxqFu3bkpKStIvf/lLo6PVkpyc3OCcMWPGuCEJAAAwG/ZIAzCN1NTURs3Lysp6wknMx+FwKDExUbm5uQoPD1dkZKScTqeOHz+u06dPa9iwYcrJyZHFYjE6KgAAwBNHIQ0AaNDixYs1d+5crV69WvHx8TXGNm3apNTUVL355puaMmWKMQEBAADciEIaQLNy9epVtWvXzugYHicqKkpTpkxRWlpaneOrVq3SkiVLdPToUTcnAwAAcL+G7zMBAA/h4+Oja9euuZ4HDhyoy5cvu56vXLlS71VI+GqnTp1SbGxsveOxsbE6ffq0GxMBAAAYh0IagGlUVFToy002e/bs0f3792vMoQnn6/H29lZZWVm947dv35a3t7f7AgEAABiIQhpAs8JhWF9PdHS00tPT6x1fvny5oqOj3ZgIAADAOFx/BQBo0MyZMxUTE6MbN27ojTfecJ3aXVRUpEWLFmnjxo3auXOn0TEBAADcgkIagGlYLJYaK86PPuPr69u3r9avX69XX31VGzZsqDHm7++vnJwcPf/88walAwAAcC9O7QZgGlarVX5+fq7iuaysTHa7XVbr/3exOJ1O3b59W9XV1UbG9Gj37t3T1q1bderUKUlSeHi4BgwYIB8fH4OTAQAAuA8r0gBMIysry+gIpufj46OhQ4caHQMAAMBQrEgDABq0Y8cOTZw4Ufv27ZPdbq8xduvWLfXt21crVqxQv379DEoIAADgPpzaDcD0zpw5o2PHjsnhcBgdxWMtWbJE48ePr1VES5Kfn59+/etfa/HixQYkAwAAcD8KaQCm8fnnn2v27NkaPHiw5s6dq+rqaiUmJqpbt26KiopSz549de7cOaNjeqTDhw9r4MCB9Y4PGDBA//nPf9yYCAAAwDgU0gBMY/r06UpPT1dQUJAyMzP185//XAcPHtTatWu1bt06eXl5aebMmUbH9EhXrlxRixYt6h338vLStWvX3JgIAADAOBw2BsA0PvjgA2VnZysuLk4nT55UZGSk8vPzNWjQIElSu3btNHLkSINTeqbvfe97Onr0qLp27Vrn+JEjR9ShQwc3pwIAADAGK9IATOPSpUv6wQ9+IOn/1zK1atWqRuEXHh6ukpISo+J5tLi4OM2aNUsVFRW1xu7fv6/Zs2crPj7egGQAAADux6ndAEzDarWqpKRE7dq1kyT5+vrq8OHDCgsLk/T/9uTg4GDukf4arly5oj59+shms2nixImKiIiQxWJRUVGRli9frurqah04cEBBQUFGRwUAAHjiaO0GYCpbt26Vn5+fJMnhcGj79u3673//K0kqKyszMJlnCwoKUmFhoX7zm99o+vTpevgZrMVi0csvv6w//vGPFNEAAKDZYEUagGlYrQ3vVrFYLKxIf0OlpaU6ffq0nE6nunXrJn9//1pzLly4oODg4Eb9nQAAAHgaCmkAwLfObrfr0KFDrrZ6AAAAM2GpAADwreMzWgAAYGbskQZgGgUFBY2a95Of/OQJJwEAAICZUUgDMI2YmBhZLBZJ9a+IskcaAAAA3xSFNADT8Pf3l6+vr1JSUjR69Gi1bdvW6EgAAAAwIfZIAzCNy5cva/78+dq7d6969eqlsWPHqrCwUHa7XX5+fq5fePIedgYAAACYEYU0ANNo2bKlRowYoa1bt+rEiROKiorSxIkTFRISopkzZ6qqqsroiM0Gh40BAAAz4/orAKZ29uxZjR07Vrt27dK1a9cUEBBgdCSPdf78eX300Ud68OCB+vfvrx49etQ7t7i4WMHBwbLZbG5MCAAA4B7skQZgOpWVldqwYYMyMzO1d+9evfLKK8rPz6eI/gYKCgoUFxene/fuSZK8vLy0evVqJSYm1jk/JCTEnfEAAADcihVpAKaxf/9+ZWVlad26dQoNDVVKSopGjRpFAf0t6N+/v+x2u1auXClvb29Nnz5d+fn5Ki4uNjoaAACA21FIAzANq9WqTp06KTk5Wc8880y98xISEtyYyhwCAgJUUFCgnj17SpLu3r0ru92u69evy9/f3+B0AAAA7kUhDcA0rNaGz0/kHumvx2q1qqSkRO3atXO98/X11ZEjRxQaGmpgMgAAAPdjjzQA03A4HEZHMLVPPvlEJSUlrmen06mioiKVl5e73kVFRRkRDQAAwK1YkQYANMhqtcpisdR5rdXD96z2AwCA5oIVaQCmsWbNmjrf+/n5KSIiQpGRkW5OZB5nz541OgIAAECTwYo0ANOo79CrO3fuyOFwKC4uTmvXrpWvr6+bkwEAAMBMGj6ZBwA8RGlpaZ2/KisrtW/fPn322Wd6++23jY7pkU6dOqXExETdvn271titW7eUlJSkM2fOGJAMAADA/SikAZie1WrVs88+q0WLFmnz5s1Gx/FICxcuVEhIiOx2e60xPz8/hYSEaOHChQYkAwAAcD8KaQDNRteuXXXhwgWjY3ikgoICDRs2rN7x4cOHa8eOHW5MBAAAYBwKaQDNxqeffqqOHTsaHcMjnT9/vsYd0o9q27atiouL3ZgIAADAOBTSAEzP6XTqwIED+v3vf6/BgwcbHccj+fn56dNPP613/PTp03W2fQMAAJgRp3YDMA1/f39ZLJZa7+/cuaPq6moNHDhQ69ev11NPPWVAOs82fPhwPXjwQB9++GGd40OGDFHLli2Vm5vr5mQAAADuRyENwDSys7PrLKTtdrsiIyP19NNPG5DKHA4ePKjo6GjFx8dr6tSpioiIkCQdP35cCxYsUH5+vgoLC9WnTx+DkwIAADx5FNIAgEb561//qrS0NN24caPG++9+97t67733lJCQYFAyAAAA96KQBmAaVqu1zhXpL7NYLKqqqnJTIvNIS0vTu+++Ky8vL23ZskWnT5+W0+lUeHi4BgwYIB8fH6MjAgAAuA2FNADT+Mtf/lJvIV1YWKhly5bJ6XTq/v37bk7m+Ww2my5fvvyVJ3cDAAA0FxTSAEzt+PHjmj59ujZv3qyRI0dqzpw56tSpk9GxPI7ValVJSQmFNAAAgLj+CoBJXbp0SePHj1dUVJSqqqp06NAhrV69miL6G2iobR4AAKC58DI6AAB8m27duqV58+Zp2bJl6t27t7Zv365+/foZHcsUwsPDGyymb9686aY0AAAAxqGQBmAaCxYs0Pz589W+fXvl5ORoyJAhRkcylbffflt+fn5GxwAAADAce6QBmIbVapW3t7diY2Nls9nqnZeXl+fGVObAHmkAAIAvsCINwDTGjBnDPt4nhD9XAACAL7AiDQBoECvSAAAAX6CQBgAAAADgMXD9FQAAAAAAj4FCGgAAAACAx0AhDQAAAADAY6CQBgAAAADgMVBIAwAAAADwGCikAQAAAAB4DBTSAAAAAAA8BgppAAAAAAAew/8AsJe+/GkY+tQAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "numeric_columns = websites.select_dtypes(include=['int64', 'float64'])\n",
+    "\n",
+    "correlation_matrix = numeric_columns.corr()\n",
+    "\n",
+    "plt.figure(figsize=(10, 8))\n",
+    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\", linewidths=0.5)\n",
+    "plt.title('Correlation Matrix of Numeric Columns')\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your comment here"
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"'\\nURL_LENGTH y Number_Special_Characters \\nTCP_CONVERSATION _EXCHANGE con SOURCE_APP_PARKETS, con REMOTE_APP_BYTTES, con APP_PACKETS\\nAPP_BYTTES con REMOTE_APP_BYTTES,\\n\\n\""
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your comment here\n",
+    "''''\n",
+    "URL_LENGTH y Number_Special_Characters \n",
+    "TCP_CONVERSATION _EXCHANGE con SOURCE_APP_PARKETS, con REMOTE_APP_BYTTES, con APP_PACKETS\n",
+    "APP_BYTTES con REMOTE_APP_BYTTES,\n",
+    "\n",
+    "'''"
    ]
   },
   {
@@ -135,9 +824,44 @@
    "cell_type": "code",
    "execution_count": 7,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1781 entries, 0 to 1780\n",
+      "Data columns (total 21 columns):\n",
+      " #   Column                     Non-Null Count  Dtype  \n",
+      "---  ------                     --------------  -----  \n",
+      " 0   URL                        1781 non-null   object \n",
+      " 1   URL_LENGTH                 1781 non-null   int64  \n",
+      " 2   NUMBER_SPECIAL_CHARACTERS  1781 non-null   int64  \n",
+      " 3   CHARSET                    1774 non-null   object \n",
+      " 4   SERVER                     1605 non-null   object \n",
+      " 5   CONTENT_LENGTH             969 non-null    float64\n",
+      " 6   WHOIS_COUNTRY              1475 non-null   object \n",
+      " 7   WHOIS_STATEPRO             1419 non-null   object \n",
+      " 8   WHOIS_REGDATE              1654 non-null   object \n",
+      " 9   WHOIS_UPDATED_DATE         1642 non-null   object \n",
+      " 10  TCP_CONVERSATION_EXCHANGE  1781 non-null   int64  \n",
+      " 11  DIST_REMOTE_TCP_PORT       1781 non-null   int64  \n",
+      " 12  REMOTE_IPS                 1781 non-null   int64  \n",
+      " 13  APP_BYTES                  1781 non-null   int64  \n",
+      " 14  SOURCE_APP_PACKETS         1781 non-null   int64  \n",
+      " 15  REMOTE_APP_PACKETS         1781 non-null   int64  \n",
+      " 16  SOURCE_APP_BYTES           1781 non-null   int64  \n",
+      " 17  REMOTE_APP_BYTES           1781 non-null   int64  \n",
+      " 18  APP_PACKETS                1781 non-null   int64  \n",
+      " 19  DNS_QUERY_TIMES            1780 non-null   float64\n",
+      " 20  Type                       1781 non-null   int64  \n",
+      "dtypes: float64(2), int64(12), object(7)\n",
+      "memory usage: 292.3+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "websites.info()"
    ]
   },
   {
@@ -146,7 +870,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your comment here"
+    "# Your code here\n",
+    "websites.drop(columns=['TCP_CONVERSATION_EXCHANGE'], inplace=True)\n"
    ]
   },
   {
@@ -154,6 +879,62 @@
    "execution_count": 9,
    "metadata": {},
    "outputs": [],
+   "source": [
+    "websites.drop(columns=['REMOTE_APP_BYTES'], inplace=True)\n",
+    "websites.drop(columns=['APP_PACKETS'], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "websites.drop(columns=['REMOTE_APP_PACKETS'], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "websites.drop(columns=['URL_LENGTH'], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Your comment here\n",
+    "numeric_columns = websites.select_dtypes(include=['int64', 'float64'])\n",
+    "\n",
+    "correlation_matrix = numeric_columns.corr()\n",
+    "\n",
+    "plt.figure(figsize=(10, 8))\n",
+    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt=\".2f\", linewidths=0.5)\n",
+    "plt.title('Correlation Matrix of Numeric Columns')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Print heatmap again\n"
    ]
@@ -169,11 +950,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 14,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1781 entries, 0 to 1780\n",
+      "Data columns (total 16 columns):\n",
+      " #   Column                     Non-Null Count  Dtype  \n",
+      "---  ------                     --------------  -----  \n",
+      " 0   URL                        1781 non-null   object \n",
+      " 1   NUMBER_SPECIAL_CHARACTERS  1781 non-null   int64  \n",
+      " 2   CHARSET                    1774 non-null   object \n",
+      " 3   SERVER                     1605 non-null   object \n",
+      " 4   CONTENT_LENGTH             969 non-null    float64\n",
+      " 5   WHOIS_COUNTRY              1475 non-null   object \n",
+      " 6   WHOIS_STATEPRO             1419 non-null   object \n",
+      " 7   WHOIS_REGDATE              1654 non-null   object \n",
+      " 8   WHOIS_UPDATED_DATE         1642 non-null   object \n",
+      " 9   DIST_REMOTE_TCP_PORT       1781 non-null   int64  \n",
+      " 10  REMOTE_IPS                 1781 non-null   int64  \n",
+      " 11  APP_BYTES                  1781 non-null   int64  \n",
+      " 12  SOURCE_APP_PACKETS         1781 non-null   int64  \n",
+      " 13  SOURCE_APP_BYTES           1781 non-null   int64  \n",
+      " 14  DNS_QUERY_TIMES            1780 non-null   float64\n",
+      " 15  Type                       1781 non-null   int64  \n",
+      "dtypes: float64(2), int64(7), object(7)\n",
+      "memory usage: 222.8+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites.info()"
    ]
   },
   {
@@ -187,20 +999,894 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CHARSET</th>\n",
+       "      <th>SERVER</th>\n",
+       "      <th>CONTENT_LENGTH</th>\n",
+       "      <th>WHOIS_COUNTRY</th>\n",
+       "      <th>WHOIS_STATEPRO</th>\n",
+       "      <th>WHOIS_REGDATE</th>\n",
+       "      <th>WHOIS_UPDATED_DATE</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>APP_BYTES</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>M0_109</td>\n",
+       "      <td>7</td>\n",
+       "      <td>iso-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>263.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10/10/2015 18:21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>700</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>B0_2314</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache/2.4.10</td>\n",
+       "      <td>15087.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>B0_911</td>\n",
+       "      <td>6</td>\n",
+       "      <td>us-ascii</td>\n",
+       "      <td>Microsoft-HTTPAPI/2.0</td>\n",
+       "      <td>324.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>B0_403</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>124140.0</td>\n",
+       "      <td>US</td>\n",
+       "      <td>TX</td>\n",
+       "      <td>12/05/1996 0:00</td>\n",
+       "      <td>11/04/2017 0:00</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4278</td>\n",
+       "      <td>61</td>\n",
+       "      <td>129889</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>B0_2064</td>\n",
+       "      <td>7</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>SC</td>\n",
+       "      <td>Mahe</td>\n",
+       "      <td>3/08/2016 14:30</td>\n",
+       "      <td>3/10/2016 3:45</td>\n",
+       "      <td>6</td>\n",
+       "      <td>9</td>\n",
+       "      <td>894</td>\n",
+       "      <td>11</td>\n",
+       "      <td>838</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1773</th>\n",
+       "      <td>M4_39</td>\n",
+       "      <td>16</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>Barcelona</td>\n",
+       "      <td>17/09/2008 0:00</td>\n",
+       "      <td>2/09/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>186</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1775</th>\n",
+       "      <td>M4_45</td>\n",
+       "      <td>17</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>Barcelona</td>\n",
+       "      <td>17/09/2008 0:00</td>\n",
+       "      <td>2/09/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>186</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1776</th>\n",
+       "      <td>M4_48</td>\n",
+       "      <td>16</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>Barcelona</td>\n",
+       "      <td>17/09/2008 0:00</td>\n",
+       "      <td>2/09/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>186</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1777</th>\n",
+       "      <td>M4_41</td>\n",
+       "      <td>17</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>Barcelona</td>\n",
+       "      <td>17/09/2008 0:00</td>\n",
+       "      <td>2/09/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>124</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1779</th>\n",
+       "      <td>B0_1152</td>\n",
+       "      <td>34</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>cloudflare-nginx</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>US</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>1/04/1998 0:00</td>\n",
+       "      <td>9/12/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1145 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          URL  NUMBER_SPECIAL_CHARACTERS     CHARSET                 SERVER  \\\n",
+       "0      M0_109                          7  iso-8859-1                  nginx   \n",
+       "1     B0_2314                          6       UTF-8          Apache/2.4.10   \n",
+       "2      B0_911                          6    us-ascii  Microsoft-HTTPAPI/2.0   \n",
+       "4      B0_403                          6       UTF-8                    NaN   \n",
+       "5     B0_2064                          7       UTF-8                  nginx   \n",
+       "...       ...                        ...         ...                    ...   \n",
+       "1773    M4_39                         16       UTF-8                 Apache   \n",
+       "1775    M4_45                         17       UTF-8                 Apache   \n",
+       "1776    M4_48                         16       UTF-8                 Apache   \n",
+       "1777    M4_41                         17       UTF-8                 Apache   \n",
+       "1779  B0_1152                         34  ISO-8859-1       cloudflare-nginx   \n",
+       "\n",
+       "      CONTENT_LENGTH WHOIS_COUNTRY WHOIS_STATEPRO     WHOIS_REGDATE  \\\n",
+       "0              263.0           NaN            NaN  10/10/2015 18:21   \n",
+       "1            15087.0           NaN            NaN               NaN   \n",
+       "2              324.0           NaN            NaN               NaN   \n",
+       "4           124140.0            US             TX   12/05/1996 0:00   \n",
+       "5                NaN            SC           Mahe   3/08/2016 14:30   \n",
+       "...              ...           ...            ...               ...   \n",
+       "1773             NaN            ES      Barcelona   17/09/2008 0:00   \n",
+       "1775             NaN            ES      Barcelona   17/09/2008 0:00   \n",
+       "1776             NaN            ES      Barcelona   17/09/2008 0:00   \n",
+       "1777             NaN            ES      Barcelona   17/09/2008 0:00   \n",
+       "1779             NaN            US             CA    1/04/1998 0:00   \n",
+       "\n",
+       "     WHOIS_UPDATED_DATE  DIST_REMOTE_TCP_PORT  REMOTE_IPS  APP_BYTES  \\\n",
+       "0                   NaN                     0           2        700   \n",
+       "1                   NaN                     7           4       1230   \n",
+       "2                   NaN                     0           0          0   \n",
+       "4       11/04/2017 0:00                     2           5       4278   \n",
+       "5        3/10/2016 3:45                     6           9        894   \n",
+       "...                 ...                   ...         ...        ...   \n",
+       "1773     2/09/2016 0:00                     0           0          0   \n",
+       "1775     2/09/2016 0:00                     0           0          0   \n",
+       "1776     2/09/2016 0:00                     0           0          0   \n",
+       "1777     2/09/2016 0:00                     0           0          0   \n",
+       "1779     9/12/2016 0:00                     0           0          0   \n",
+       "\n",
+       "      SOURCE_APP_PACKETS  SOURCE_APP_BYTES  DNS_QUERY_TIMES  Type  \n",
+       "0                      9              1153              2.0     1  \n",
+       "1                     17              1265              0.0     0  \n",
+       "2                      0                 0              0.0     0  \n",
+       "4                     61            129889              4.0     0  \n",
+       "5                     11               838              0.0     0  \n",
+       "...                  ...               ...              ...   ...  \n",
+       "1773                   0               186              0.0     1  \n",
+       "1775                   0               186              0.0     1  \n",
+       "1776                   0               186              0.0     1  \n",
+       "1777                   0               124              0.0     1  \n",
+       "1779                   0                 0              0.0     0  \n",
+       "\n",
+       "[1145 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites[websites.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Your comment here\n",
+    "websites.drop(columns=['CONTENT_LENGTH'], inplace=True)\n",
+    "\n",
+    "#ELIMINAMOS LA COLUMNA CONTENT_LENGTH, TIENE UN PORCENTEJE \n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your comment here"
+    "columns_to_fill = ['WHOIS_COUNTRY', 'WHOIS_STATEPRO','SERVER','CHARSET']\n",
+    "websites[columns_to_fill] = websites[columns_to_fill].fillna('Others')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "websites['DNS_QUERY_TIMES'] = websites['DNS_QUERY_TIMES'].fillna(0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CHARSET</th>\n",
+       "      <th>SERVER</th>\n",
+       "      <th>WHOIS_COUNTRY</th>\n",
+       "      <th>WHOIS_STATEPRO</th>\n",
+       "      <th>WHOIS_REGDATE</th>\n",
+       "      <th>WHOIS_UPDATED_DATE</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>APP_BYTES</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>M0_109</td>\n",
+       "      <td>7</td>\n",
+       "      <td>iso-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>10/10/2015 18:21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>700</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>B0_2314</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache/2.4.10</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>B0_911</td>\n",
+       "      <td>6</td>\n",
+       "      <td>us-ascii</td>\n",
+       "      <td>Microsoft-HTTPAPI/2.0</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>M2_17</td>\n",
+       "      <td>5</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>nginx/1.10.1</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>8/11/2014 7:41</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>213</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>M3_75</td>\n",
+       "      <td>5</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>nginx/1.10.1</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>8/11/2014 7:41</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>62</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1588</th>\n",
+       "      <td>B0_566</td>\n",
+       "      <td>18</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10</td>\n",
+       "      <td>6</td>\n",
+       "      <td>4576</td>\n",
+       "      <td>55</td>\n",
+       "      <td>49426</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1603</th>\n",
+       "      <td>B0_2094</td>\n",
+       "      <td>15</td>\n",
+       "      <td>us-ascii</td>\n",
+       "      <td>Microsoft-HTTPAPI/2.0</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>636</td>\n",
+       "      <td>8</td>\n",
+       "      <td>630</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1611</th>\n",
+       "      <td>B0_300</td>\n",
+       "      <td>19</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1948</td>\n",
+       "      <td>23</td>\n",
+       "      <td>12186</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1675</th>\n",
+       "      <td>M0_113</td>\n",
+       "      <td>20</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>Apache/2.2.29 (Unix) mod_ssl/2.2.29 OpenSSL/1....</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2790</td>\n",
+       "      <td>26</td>\n",
+       "      <td>23294</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1746</th>\n",
+       "      <td>B0_84</td>\n",
+       "      <td>21</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>Apache/2.2.15 (Red Hat)</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>3</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3718</td>\n",
+       "      <td>51</td>\n",
+       "      <td>44519</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>139 rows × 15 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          URL  NUMBER_SPECIAL_CHARACTERS     CHARSET  \\\n",
+       "0      M0_109                          7  iso-8859-1   \n",
+       "1     B0_2314                          6       UTF-8   \n",
+       "2      B0_911                          6    us-ascii   \n",
+       "8       M2_17                          5       utf-8   \n",
+       "9       M3_75                          5       utf-8   \n",
+       "...       ...                        ...         ...   \n",
+       "1588   B0_566                         18       utf-8   \n",
+       "1603  B0_2094                         15    us-ascii   \n",
+       "1611   B0_300                         19       UTF-8   \n",
+       "1675   M0_113                         20  ISO-8859-1   \n",
+       "1746    B0_84                         21       utf-8   \n",
+       "\n",
+       "                                                 SERVER WHOIS_COUNTRY  \\\n",
+       "0                                                 nginx        Others   \n",
+       "1                                         Apache/2.4.10        Others   \n",
+       "2                                 Microsoft-HTTPAPI/2.0        Others   \n",
+       "8                                          nginx/1.10.1        Others   \n",
+       "9                                          nginx/1.10.1        Others   \n",
+       "...                                                 ...           ...   \n",
+       "1588                                             Apache        Others   \n",
+       "1603                              Microsoft-HTTPAPI/2.0        Others   \n",
+       "1611                                             Apache        Others   \n",
+       "1675  Apache/2.2.29 (Unix) mod_ssl/2.2.29 OpenSSL/1....        Others   \n",
+       "1746                            Apache/2.2.15 (Red Hat)        Others   \n",
+       "\n",
+       "     WHOIS_STATEPRO     WHOIS_REGDATE WHOIS_UPDATED_DATE  \\\n",
+       "0            Others  10/10/2015 18:21                NaN   \n",
+       "1            Others               NaN                NaN   \n",
+       "2            Others               NaN                NaN   \n",
+       "8            Others    8/11/2014 7:41                NaN   \n",
+       "9            Others    8/11/2014 7:41                NaN   \n",
+       "...             ...               ...                ...   \n",
+       "1588         Others               NaN                NaN   \n",
+       "1603         Others               NaN                NaN   \n",
+       "1611         Others               NaN                NaN   \n",
+       "1675         Others               NaN                NaN   \n",
+       "1746         Others               NaN                NaN   \n",
+       "\n",
+       "      DIST_REMOTE_TCP_PORT  REMOTE_IPS  APP_BYTES  SOURCE_APP_PACKETS  \\\n",
+       "0                        0           2        700                   9   \n",
+       "1                        7           4       1230                  17   \n",
+       "2                        0           0          0                   0   \n",
+       "8                        0           0          0                   2   \n",
+       "9                        0           0          0                   2   \n",
+       "...                    ...         ...        ...                 ...   \n",
+       "1588                    10           6       4576                  55   \n",
+       "1603                     7           4        636                   8   \n",
+       "1611                     3           4       1948                  23   \n",
+       "1675                     0           3       2790                  26   \n",
+       "1746                     3           8       3718                  51   \n",
+       "\n",
+       "      SOURCE_APP_BYTES  DNS_QUERY_TIMES  Type  \n",
+       "0                 1153              2.0     1  \n",
+       "1                 1265              0.0     0  \n",
+       "2                    0              0.0     0  \n",
+       "8                  213              2.0     1  \n",
+       "9                   62              2.0     1  \n",
+       "...                ...              ...   ...  \n",
+       "1588             49426              8.0     0  \n",
+       "1603               630              0.0     0  \n",
+       "1611             12186              4.0     0  \n",
+       "1675             23294              4.0     1  \n",
+       "1746             44519              4.0     0  \n",
+       "\n",
+       "[139 rows x 15 columns]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "websites[websites.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1781 entries, 0 to 1780\n",
+      "Data columns (total 15 columns):\n",
+      " #   Column                     Non-Null Count  Dtype  \n",
+      "---  ------                     --------------  -----  \n",
+      " 0   URL                        1781 non-null   object \n",
+      " 1   NUMBER_SPECIAL_CHARACTERS  1781 non-null   int64  \n",
+      " 2   CHARSET                    1781 non-null   object \n",
+      " 3   SERVER                     1781 non-null   object \n",
+      " 4   WHOIS_COUNTRY              1781 non-null   object \n",
+      " 5   WHOIS_STATEPRO             1781 non-null   object \n",
+      " 6   WHOIS_REGDATE              1654 non-null   object \n",
+      " 7   WHOIS_UPDATED_DATE         1642 non-null   object \n",
+      " 8   DIST_REMOTE_TCP_PORT       1781 non-null   int64  \n",
+      " 9   REMOTE_IPS                 1781 non-null   int64  \n",
+      " 10  APP_BYTES                  1781 non-null   int64  \n",
+      " 11  SOURCE_APP_PACKETS         1781 non-null   int64  \n",
+      " 12  SOURCE_APP_BYTES           1781 non-null   int64  \n",
+      " 13  DNS_QUERY_TIMES            1781 non-null   float64\n",
+      " 14  Type                       1781 non-null   int64  \n",
+      "dtypes: float64(1), int64(7), object(7)\n",
+      "memory usage: 208.8+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "websites.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>APP_BYTES</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1.781000e+03</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1.781000e+03</td>\n",
+       "      <td>1781.000000</td>\n",
+       "      <td>1781.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>11.111735</td>\n",
+       "      <td>5.472768</td>\n",
+       "      <td>3.060640</td>\n",
+       "      <td>2.982339e+03</td>\n",
+       "      <td>18.540146</td>\n",
+       "      <td>1.589255e+04</td>\n",
+       "      <td>2.262212</td>\n",
+       "      <td>0.121280</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>4.549896</td>\n",
+       "      <td>21.807327</td>\n",
+       "      <td>3.386975</td>\n",
+       "      <td>5.605057e+04</td>\n",
+       "      <td>41.627173</td>\n",
+       "      <td>6.986193e+04</td>\n",
+       "      <td>2.930520</td>\n",
+       "      <td>0.326544</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000e+00</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>6.720000e+02</td>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>5.790000e+02</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>13.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>2.328000e+03</td>\n",
+       "      <td>26.000000</td>\n",
+       "      <td>9.806000e+03</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>43.000000</td>\n",
+       "      <td>708.000000</td>\n",
+       "      <td>17.000000</td>\n",
+       "      <td>2.362906e+06</td>\n",
+       "      <td>1198.000000</td>\n",
+       "      <td>2.060012e+06</td>\n",
+       "      <td>20.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       NUMBER_SPECIAL_CHARACTERS  DIST_REMOTE_TCP_PORT   REMOTE_IPS  \\\n",
+       "count                1781.000000           1781.000000  1781.000000   \n",
+       "mean                   11.111735              5.472768     3.060640   \n",
+       "std                     4.549896             21.807327     3.386975   \n",
+       "min                     5.000000              0.000000     0.000000   \n",
+       "25%                     8.000000              0.000000     0.000000   \n",
+       "50%                    10.000000              0.000000     2.000000   \n",
+       "75%                    13.000000              5.000000     5.000000   \n",
+       "max                    43.000000            708.000000    17.000000   \n",
+       "\n",
+       "          APP_BYTES  SOURCE_APP_PACKETS  SOURCE_APP_BYTES  DNS_QUERY_TIMES  \\\n",
+       "count  1.781000e+03         1781.000000      1.781000e+03      1781.000000   \n",
+       "mean   2.982339e+03           18.540146      1.589255e+04         2.262212   \n",
+       "std    5.605057e+04           41.627173      6.986193e+04         2.930520   \n",
+       "min    0.000000e+00            0.000000      0.000000e+00         0.000000   \n",
+       "25%    0.000000e+00            0.000000      0.000000e+00         0.000000   \n",
+       "50%    6.720000e+02            8.000000      5.790000e+02         0.000000   \n",
+       "75%    2.328000e+03           26.000000      9.806000e+03         4.000000   \n",
+       "max    2.362906e+06         1198.000000      2.060012e+06        20.000000   \n",
+       "\n",
+       "              Type  \n",
+       "count  1781.000000  \n",
+       "mean      0.121280  \n",
+       "std       0.326544  \n",
+       "min       0.000000  \n",
+       "25%       0.000000  \n",
+       "50%       0.000000  \n",
+       "75%       0.000000  \n",
+       "max       1.000000  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "websites.describe()"
    ]
   },
   {
@@ -214,7 +1900,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -256,11 +1942,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "replace_values = {\n",
+    "    \"Cyprus\": \"CY\",\n",
+    "    \"us\": \"US\",\n",
+    "    \"se\": \"SE\",\n",
+    "    \"United Kingdom\": \"GB\",\n",
+    "    \"[u'GB'; u'UK']\": \"GB\"\n",
+    "}\n",
+    "\n",
+    "\n",
+    "websites['WHOIS_COUNTRY'] = websites['WHOIS_COUNTRY'].replace(replace_values)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Others', 'US', 'SC', 'GB', 'UK', 'RU', 'AU', 'CA', 'PA', 'SE',\n",
+       "       'IN', 'LU', 'TH', 'FR', 'NL', 'UG', 'JP', 'CN', 'SI', 'IL', 'ru',\n",
+       "       'KY', 'AT', 'CZ', 'PH', 'BE', 'NO', 'TR', 'LV', 'DE', 'ES', 'BR',\n",
+       "       'KR', 'HK', 'UA', 'CH', 'BS', 'PK', 'IT', 'CY', 'BY', 'AE', 'IE',\n",
+       "       'UY', 'KG'], dtype=object)"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "websites['WHOIS_COUNTRY'].unique()"
    ]
   },
   {
@@ -278,11 +1998,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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idgf7pk2biouLi3z33Xd2rd+yZUtJSEiw+fm7pFRVfvjhB8mbN6/UrFlTRMSYZC+1ERqXLl1K9ycnO3XqJA0bNpRJkybJvXv37KprWqydMQ0bNpRXX31VFi9eLJcuXZJJkyZluWwAQMoI9gCALBkwYIAkJCTIrFmz5Oeff5YePXpIzpw5jcctFotxVc7q4MGDaYZNK+vQ3YMHD9osfzD4tG7dWpydneXUqVMpXt21zsqdmldeeUVy5colQ4YMMSaqS0pVZc2aNSIiUr9+ffHw8JAVK1bYrHPx4kX5/fffpXnz5jb1P378uE24v3Hjhmzfvj3dbU+NPVfx3dzcJDAw0Pid8LR+GcBa3we3Z/Xq1XLnzh2b7ckoa1ifMmWK5MiRw2aovfX/rb9XntVg7+rqKq+99pqEhobKrFmzkj1+7do1GTt2rPj6+soLL7yQajm3b9+WqKioFB+z3jri7+9vV538/PzkhRdekPXr18tnn32W4jqnTp0y9u8XXnhBChYsKGPHjpVr164lW3fmzJly9OhRGT16tLi4uIjI/Vn1ixcvLl9//XWyDo1///1XNm3aJC1atEi3rm+//bZcuHBB5s2bZ9e2ZUSvXr0kKChIPv74Y7tuKwEAZFzqY7MAALBDrVq1pEqVKjJ37lxRVZth+CIiHTp0kDfeeEMmTZokgYGBcuzYMZk6daqULFky3Rnb27VrJ3nz5pUBAwbI1KlTxdnZWZYuXSoXLlywWa9EiRIydepUGTdunJw+fVratGkjPj4+cvXqVfn7778lV65cRoBMScmSJWXVqlXSvXt3qVatmgwbNkyqV68uIvdn+f/0009FVaVz586SJ08emTBhgrz++uvSt29fefbZZ+XGjRsyZcoUcXd3t7kq2adPH/noo4+kd+/eMnDgQLlx44bMnDlTvLy8Mvo2GypXriwi94NY27ZtxcnJSapUqSJvvvmmXLx4UZo3by5FihSRW7duyXvvvScuLi42V8of1LJlS2ndurWMGTNGIiMjpWHDhnLw4EGZNGmSVK9eXfr06ZPpujZp0kScnJxkzZo1yYba58mTR6pWrSpr1qwRFxcXadiwYaZfx2rMmDFy4MAB47/du3cXb29vOXjwoMyaNUtu374ta9euTfMn9Y4dOyatW7eWHj16SGBgoBQqVEjCw8Plp59+kkWLFklQUJA0aNDA7jrNmTNHTp8+Lf3795f169dL586dxdfXV65fvy4bN26UJUuWyKpVq6RKlSqSJ08e+fbbb6VDhw5Ss2ZNee2116Rq1aoSGRkpX375paxcuVK6d+8ur732ms1rzJ49W7p16ybNmzeXgQMHip+fn5w4cUJmzJghrq6uMmHChHTr2bBhQ+nUqZN8//33dm9bRrz99ttSt25deeONN2Tx4sXZ8hoA8J/2yKbtAwD8z3jvvfdURLRChQrJHouJidFRo0Zp4cKF1d3dXWvUqKHfffddspnhVZPPiq96f2b4Bg0aaK5cubRw4cI6adIkXbx4sc2M6FbfffedNm3aVL28vNTNzU2LFy+uzzzzjP766692bcepU6d0yJAh+sQTT6ibm5t6eHhohQoVdOTIkclea/HixVqlShV1dXVVb29v7dSpkx45ciRZmcuWLdPy5curu7u7VqhQQb/88stUZ8WfNWtWsuc/+J7ExMToCy+8oAUKFFCLxWK8D2vXrtW2bdtq4cKF1dXVVQsWLKjt2rXTLVu2pLvd0dHROmbMGC1evLi6uLhooUKF9KWXXtLw8HCb9TIyK75VnTp1VER01KhRyR4LDg5WEdGGDRsmeyyt90RVddasWSnuA4mJibpy5UoNCgrSPHnyqKurq5YsWVJfeuklPXfuXLJyHtym8PBwffPNN7VZs2bGe5krVy6tVq2avvnmm3r37t0Mbb/q/V+CWLZsmTZr1kzz5s2rzs7OWqBAAW3btq1+/vnnmpCQYLP++fPndejQoVqqVClj/2rSpImuWLFCExMTU3yNX3/9VVu1aqV58uRRZ2dnLVSokPbu3VtPnDiRbN2ks+In9c8//6iTk1OWZ8VP7TPr2rWrOjs768mTJ22Wi4gOHTo0xecAAOxjUU3lRjQAAAAAAPDY4x57AAAAAABMjHvsAQAAMighISHV2fdF7k8a6eTk9BBrBAD4L+OKPQAAQAaVLl1aXFxcUv3Lyq8JAACQUVyxBwAAyKAff/zR5mcMH5T0FwAAAMhuTJ4HAAAAAICJMRQfAAAAAAATYyi+nRITE+Xy5cvi6ekpFovlUVcHAAAAAPA/TlXl9u3b4u/vLzlypH5dnmBvp8uXL0vRokUfdTUAAAAAAP8xFy5ckCJFiqT6OMHeTtZJcC5cuCBeXl6PuDYAAAAAgP91kZGRUrRo0XQnZSXY28k6/N7Ly4tgDwAAAAB4aNK7HZzJ8wAAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxJwfdQXMrkTIT3atd3ZG+2yuCQAAAADgv4gr9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJPdJg/+eff8qTTz4p/v7+YrFY5LvvvrN5XFVl8uTJ4u/vLx4eHhIUFCRHjhyxWScmJkaGDx8u+fPnl1y5cknHjh3l4sWLNuuEh4dLnz59xNvbW7y9vaVPnz5y69atbN46AAAAAACy3yMN9nfu3JGqVavK/PnzU3x85syZMmfOHJk/f77s2rVL/Pz8pGXLlnL79m1jneDgYFmzZo2sWrVKtm7dKlFRUdKhQwdJSEgw1unZs6fs379f1q1bJ+vWrZP9+/dLnz59sn37AAAAAADIbhZV1UddCRERi8Uia9askaeeekpE7l+t9/f3l+DgYBkzZoyI3L867+vrK2+//bYMGjRIIiIipECBArJ8+XLp3r27iIhcvnxZihYtKj///LO0bt1aQkNDpUKFCrJz506pW7euiIjs3LlT6tevL0ePHpWyZcvaVb/IyEjx9vaWiIgI8fLyMpaXCPnJruefndHe3rcCAAAAAIBUc+iDHtt77M+cOSNhYWHSqlUrY5mbm5sEBgbK9u3bRURkz549EhcXZ7OOv7+/VKpUyVhnx44d4u3tbYR6EZF69eqJt7e3sU5KYmJiJDIy0uYPAAAAAIDHzWMb7MPCwkRExNfX12a5r6+v8VhYWJi4urqKj49PmusULFgwWfkFCxY01knJ9OnTjXvyvb29pWjRolnaHgAAAAAAssNjG+ytLBaLzb9VNdmyBz24Tkrrp1fO2LFjJSIiwvi7cOFCBmsOAAAAAED2e2yDvZ+fn4hIsqvq165dM67i+/n5SWxsrISHh6e5ztWrV5OV/++//yYbDZCUm5ubeHl52fwBAAAAAPC4eWyDfcmSJcXPz082btxoLIuNjZU//vhDGjRoICIiNWvWFBcXF5t1rly5IocPHzbWqV+/vkRERMjff/9trPPXX39JRESEsQ4AAAAAAGbl/ChfPCoqSk6ePGn8+8yZM7J//37JmzevFCtWTIKDg2XatGkSEBAgAQEBMm3aNMmZM6f07NlTRES8vb1lwIAB8uqrr0q+fPkkb968MmrUKKlcubK0aNFCRETKly8vbdq0kYEDB8pHH30kIiIvvviidOjQwe4Z8QEAAAAAeFw90mC/e/duadq0qfHvkSNHiohIv379ZOnSpTJ69GiJjo6WIUOGSHh4uNStW1c2bNggnp6exnPeffddcXZ2lm7dukl0dLQ0b95cli5dKk5OTsY6K1eulBEjRhiz53fs2FHmz5//kLYSAAAAAIDs89j8jv3jjt+xBwAAAAA8TKb/HXsAAAAAAJA+gj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAE3usg318fLyMHz9eSpYsKR4eHlKqVCmZOnWqJCYmGuuoqkyePFn8/f3Fw8NDgoKC5MiRIzblxMTEyPDhwyV//vySK1cu6dixo1y8ePFhbw4AAAAAAA73WAf7t99+Wz788EOZP3++hIaGysyZM2XWrFny/vvvG+vMnDlT5syZI/Pnz5ddu3aJn5+ftGzZUm7fvm2sExwcLGvWrJFVq1bJ1q1bJSoqSjp06CAJCQmPYrMAAAAAAHAY50ddgbTs2LFDOnXqJO3btxcRkRIlSsgXX3whu3fvFpH7V+vnzp0r48aNky5duoiIyLJly8TX11c+//xzGTRokERERMgnn3wiy5cvlxYtWoiIyIoVK6Ro0aLy66+/SuvWrR/NxgEAAAAA4ACP9RX7Ro0ayW+//SbHjx8XEZEDBw7I1q1bpV27diIicubMGQkLC5NWrVoZz3Fzc5PAwEDZvn27iIjs2bNH4uLibNbx9/eXSpUqGeukJCYmRiIjI23+AAAAAAB43DzWV+zHjBkjERERUq5cOXFycpKEhAR566235NlnnxURkbCwMBER8fX1tXmer6+vnDt3zljH1dVVfHx8kq1jfX5Kpk+fLlOmTHHk5gAAAAAA4HCP9RX7L7/8UlasWCGff/657N27V5YtWyazZ8+WZcuW2axnsVhs/q2qyZY9KL11xo4dKxEREcbfhQsXMr8hAAAAAABkk8f6iv1rr70mISEh0qNHDxERqVy5spw7d06mT58u/fr1Ez8/PxG5f1W+UKFCxvOuXbtmXMX38/OT2NhYCQ8Pt7lqf+3aNWnQoEGqr+3m5iZubm7ZsVkAAAAAADjMY33F/u7du5Ijh20VnZycjJ+7K1mypPj5+cnGjRuNx2NjY+WPP/4wQnvNmjXFxcXFZp0rV67I4cOH0wz2AAAAAACYwWN9xf7JJ5+Ut956S4oVKyYVK1aUffv2yZw5c+T5558XkftD8IODg2XatGkSEBAgAQEBMm3aNMmZM6f07NlTRES8vb1lwIAB8uqrr0q+fPkkb968MmrUKKlcubIxSz4AAAAAAGb1WAf7999/XyZMmCBDhgyRa9euib+/vwwaNEgmTpxorDN69GiJjo6WIUOGSHh4uNStW1c2bNggnp6exjrvvvuuODs7S7du3SQ6OlqaN28uS5cuFScnp0exWQAAAAAAOIxFVfVRV8IMIiMjxdvbWyIiIsTLy8tYXiLkJ7uef3ZG++yqGgAAAADgf1BqOfRBj/U99gAAAAAAIG0EewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDEMhXsS5UqJTdu3Ei2/NatW1KqVKksVwoAAAAAANgnU8H+7NmzkpCQkGx5TEyMXLp0KcuVAgAAAAAA9nHOyMo//PCD8f/r168Xb29v498JCQny22+/SYkSJRxWOQAAAAAAkLYMBfunnnpKREQsFov069fP5jEXFxcpUaKEvPPOOw6rHAAAAAAASFuGgn1iYqKIiJQsWVJ27dol+fPnz5ZKAQAAAAAA+2Qo2FudOXPG0fUAAAAAAACZkOmfu/vtt9/k9ddflxdeeEGef/55mz9HunTpkvTu3Vvy5csnOXPmlGrVqsmePXuMx1VVJk+eLP7+/uLh4SFBQUFy5MgRmzJiYmJk+PDhkj9/fsmVK5d07NhRLl686NB6AgAAAADwKGQq2E+ZMkVatWolv/32m1y/fl3Cw8Nt/hwlPDxcGjZsKC4uLvLLL7/IP//8I++8847kyZPHWGfmzJkyZ84cmT9/vuzatUv8/PykZcuWcvv2bWOd4OBgWbNmjaxatUq2bt0qUVFR0qFDhxRn9gcAAAAAwEwsqqoZfVKhQoVk5syZ0qdPn+yokyEkJES2bdsmW7ZsSfFxVRV/f38JDg6WMWPGiMj9q/O+vr7y9ttvy6BBgyQiIkIKFCggy5cvl+7du4uIyOXLl6Vo0aLy888/S+vWre2qS2RkpHh7e0tERIR4eXkZy0uE/GTX88/OaG/XegAAAAAAiKSeQx+UqSv2sbGx0qBBg0xXzl4//PCD1KpVS7p27SoFCxaU6tWry8cff2w8fubMGQkLC5NWrVoZy9zc3CQwMFC2b98uIiJ79uyRuLg4m3X8/f2lUqVKxjopiYmJkcjISJs/AAAAAAAeN5kK9i+88IJ8/vnnjq5LMqdPn5aFCxdKQECArF+/XgYPHiwjRoyQzz77TEREwsLCRETE19fX5nm+vr7GY2FhYeLq6io+Pj6prpOS6dOni7e3t/FXtGhRR24aAAAAAAAOkalZ8e/duyeLFi2SX3/9VapUqSIuLi42j8+ZM8chlUtMTJRatWrJtGnTRESkevXqcuTIEVm4cKH07dvXWM9isdg8T1WTLXtQeuuMHTtWRo4cafw7MjKScA8AAAAAeOxkKtgfPHhQqlWrJiIihw8ftnksvUCdEYUKFZIKFSrYLCtfvrysXr1aRET8/PxE5P5V+UKFChnrXLt2zbiK7+fnJ7GxsRIeHm5z1f7atWtp3k7g5uYmbm5uDtsWAAAAAACyQ6aC/aZNmxxdjxQ1bNhQjh07ZrPs+PHjUrx4cRERKVmypPj5+cnGjRulevXqInL//v8//vhD3n77bRERqVmzpri4uMjGjRulW7duIiJy5coVOXz4sMycOfOhbAcAAAAAANklU8H+YXnllVekQYMGMm3aNOnWrZv8/fffsmjRIlm0aJGI3B8dEBwcLNOmTZOAgAAJCAiQadOmSc6cOaVnz54iIuLt7S0DBgyQV199VfLlyyd58+aVUaNGSeXKlaVFixaPcvMAAAAAAMiyTAX7pk2bpjnk/vfff890hZKqXbu2rFmzRsaOHStTp06VkiVLyty5c6VXr17GOqNHj5bo6GgZMmSIhIeHS926dWXDhg3i6elprPPuu++Ks7OzdOvWTaKjo6V58+aydOlScXJyckg9AQAAAAB4VDL1O/avvPKKzb/j4uJk//79cvjwYenXr5+89957Dqvg44LfsQcAAAAAPEz2/o59pq7Yv/vuuykunzx5skRFRWWmSAAAAAAAkAmZ+h371PTu3Vs+/fRTRxYJAAAAAADS4NBgv2PHDnF3d3dkkQAAAAAAIA2ZGorfpUsXm3+rqly5ckV2794tEyZMcEjFAAAAAABA+jIV7L29vW3+nSNHDilbtqxMnTpVWrVq5ZCKAQAAAACA9GUq2C9ZssTR9QAAAAAAAJmQqWBvtWfPHgkNDRWLxSIVKlSQ6tWrO6peAAAAAADADpkK9teuXZMePXrI5s2bJU+ePKKqEhERIU2bNpVVq1ZJgQIFHF1PAAAAAACQgkzNij98+HCJjIyUI0eOyM2bNyU8PFwOHz4skZGRMmLECEfXEQAAAAAApCJTV+zXrVsnv/76q5QvX95YVqFCBVmwYAGT5wEAAAAA8BBl6op9YmKiuLi4JFvu4uIiiYmJWa4UAAAAAACwT6aCfbNmzeTll1+Wy5cvG8suXbokr7zyijRv3txhlQMAAAAAAGnLVLCfP3++3L59W0qUKCGlS5eWJ554QkqWLCm3b9+W999/39F1BAAAAAAAqcjUPfZFixaVvXv3ysaNG+Xo0aOiqlKhQgVp0aKFo+sHAAAAAADSkKEr9r///rtUqFBBIiMjRUSkZcuWMnz4cBkxYoTUrl1bKlasKFu2bMmWigIAAAAAgOQyFOznzp0rAwcOFC8vr2SPeXt7y6BBg2TOnDkOqxwAAAAAAEhbhoL9gQMHpE2bNqk+3qpVK9mzZ0+WKwUAAAAAAOyToWB/9erVFH/mzsrZ2Vn+/fffLFcKAAAAAADYJ0PBvnDhwnLo0KFUHz948KAUKlQoy5UCAAAAAAD2yVCwb9eunUycOFHu3buX7LHo6GiZNGmSdOjQwWGVAwAAAAAAacvQz92NHz9evv32WylTpowMGzZMypYtKxaLRUJDQ2XBggWSkJAg48aNy666AgAAAACAB2Qo2Pv6+sr27dvlpZdekrFjx4qqioiIxWKR1q1bywcffCC+vr7ZUlEAAAAAAJBchoK9iEjx4sXl559/lvDwcDl58qSoqgQEBIiPj0921A8AAAAAAKQhw8HeysfHR2rXru3IugAAAAAAgAzK0OR5AAAAAADg8UKwBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBipgr206dPF4vFIsHBwcYyVZXJkyeLv7+/eHh4SFBQkBw5csTmeTExMTJ8+HDJnz+/5MqVSzp27CgXL158yLUHAAAAAMDxTBPsd+3aJYsWLZIqVarYLJ85c6bMmTNH5s+fL7t27RI/Pz9p2bKl3L5921gnODhY1qxZI6tWrZKtW7dKVFSUdOjQQRISEh72ZgAAAAAA4FCmCPZRUVHSq1cv+fjjj8XHx8dYrqoyd+5cGTdunHTp0kUqVaoky5Ytk7t378rnn38uIiIRERHyySefyDvvvCMtWrSQ6tWry4oVK+TQoUPy66+/PqpNAgAAAADAIUwR7IcOHSrt27eXFi1a2Cw/c+aMhIWFSatWrYxlbm5uEhgYKNu3bxcRkT179khcXJzNOv7+/lKpUiVjnZTExMRIZGSkzR8AAAAAAI8b50ddgfSsWrVK9u7dK7t27Ur2WFhYmIiI+Pr62iz39fWVc+fOGeu4urraXOm3rmN9fkqmT58uU6ZMyWr1AQAAAADIVo/1FfsLFy7Iyy+/LCtWrBB3d/dU17NYLDb/VtVkyx6U3jpjx46ViIgI4+/ChQsZqzwAAAAAAA/BYx3s9+zZI9euXZOaNWuKs7OzODs7yx9//CHz5s0TZ2dn40r9g1fer127Zjzm5+cnsbGxEh4enuo6KXFzcxMvLy+bPwAAAAAAHjePdbBv3ry5HDp0SPbv32/81apVS3r16iX79++XUqVKiZ+fn2zcuNF4TmxsrPzxxx/SoEEDERGpWbOmuLi42Kxz5coVOXz4sLEOAAAAAABm9VjfY+/p6SmVKlWyWZYrVy7Jly+fsTw4OFimTZsmAQEBEhAQINOmTZOcOXNKz549RUTE29tbBgwYIK+++qrky5dP8ubNK6NGjZLKlSsnm4wPAAAAAACzeayDvT1Gjx4t0dHRMmTIEAkPD5e6devKhg0bxNPT01jn3XffFWdnZ+nWrZtER0dL8+bNZenSpeLk5PQIaw4AAAAAQNZZVFUfdSXMIDIyUry9vSUiIsLmfvsSIT/Z9fyzM9pnV9UAAAAAAP+DUsuhD3qs77EHAAAAAABpI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJub8qCuA5EqE/GTXemdntM/mmgAAAAAAHndcsQcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABM7LEO9tOnT5fatWuLp6enFCxYUJ566ik5duyYzTqqKpMnTxZ/f3/x8PCQoKAgOXLkiM06MTExMnz4cMmfP7/kypVLOnbsKBcvXnyYmwIAAAAAQLZ4rIP9H3/8IUOHDpWdO3fKxo0bJT4+Xlq1aiV37twx1pk5c6bMmTNH5s+fL7t27RI/Pz9p2bKl3L5921gnODhY1qxZI6tWrZKtW7dKVFSUdOjQQRISEh7FZgEAAAAA4DDOj7oCaVm3bp3Nv5csWSIFCxaUPXv2SJMmTURVZe7cuTJu3Djp0qWLiIgsW7ZMfH195fPPP5dBgwZJRESEfPLJJ7J8+XJp0aKFiIisWLFCihYtKr/++qu0bt36oW8XAAAAAACO8lhfsX9QRESEiIjkzZtXRETOnDkjYWFh0qpVK2MdNzc3CQwMlO3bt4uIyJ49eyQuLs5mHX9/f6lUqZKxTkpiYmIkMjLS5g8AAAAAgMeNaYK9qsrIkSOlUaNGUqlSJRERCQsLExERX19fm3V9fX2Nx8LCwsTV1VV8fHxSXScl06dPF29vb+OvaNGijtwcAAAAAAAcwjTBftiwYXLw4EH54osvkj1msVhs/q2qyZY9KL11xo4dKxEREcbfhQsXMldxAAAAAACykSmC/fDhw+WHH36QTZs2SZEiRYzlfn5+IiLJrrxfu3bNuIrv5+cnsbGxEh4enuo6KXFzcxMvLy+bPwAAAAAAHjePdbBXVRk2bJh8++238vvvv0vJkiVtHi9ZsqT4+fnJxo0bjWWxsbHyxx9/SIMGDUREpGbNmuLi4mKzzpUrV+Tw4cPGOgAAAAAAmNVjPSv+0KFD5fPPP5fvv/9ePD09jSvz3t7e4uHhIRaLRYKDg2XatGkSEBAgAQEBMm3aNMmZM6f07NnTWHfAgAHy6quvSr58+SRv3rwyatQoqVy5sjFLPgAAAAAAZvVYB/uFCxeKiEhQUJDN8iVLlkj//v1FRGT06NESHR0tQ4YMkfDwcKlbt65s2LBBPD09jfXfffddcXZ2lm7dukl0dLQ0b95cli5dKk5OTg9rUwAAAAAAyBYWVdVHXQkziIyMFG9vb4mIiLC5375EyE92Pf/sjPZ2v1Z2lAkAAAAAMJfUcuiDHut77AEAAAAAQNoI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACbm/KgrgOxXIuQnu9c9O6N9NtYEAAAAAOBoXLEHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMX7HHplSIuQnu9Y7O6N9NtcEAAAAAP7buGIPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAx50ddAcCqRMhPdq13dkb7bK4JAAAAAJgHV+wBAAAAADAxgj0AAAAAACZGsAcAAAAAwMS4xx7/s+y9Z1+E+/YBAAAAmBdX7AEAAAAAMDGu2AMZwMz9AAAAAB43XLEHAAAAAMDECPYAAAAAAJgYwR4AAAAAABP7T91j/8EHH8isWbPkypUrUrFiRZk7d640btz4UVcL/3GOvm8/O34NIDvmFvivbjcAAADgaP+ZK/ZffvmlBAcHy7hx42Tfvn3SuHFjadu2rZw/f/5RVw0AAAAAgEz7z1yxnzNnjgwYMEBeeOEFERGZO3eurF+/XhYuXCjTp09/xLUD8F/xXx2pwHY7pszs2G4AAGB+/4lgHxsbK3v27JGQkBCb5a1atZLt27en+JyYmBiJiYkx/h0RESEiIpGRkTbrJcbctasODz4vLY4u097ysqNMtvvhl8l2P/wy2e6HXybb7bgyK01ab9d6h6e0tvu1HV2mveVlR5ls98Mvk+1++GX+r2038L/Eej5X1TTXs2h6a/wPuHz5shQuXFi2bdsmDRo0MJZPmzZNli1bJseOHUv2nMmTJ8uUKVMeZjUBAAAAAEjmwoULUqRIkVQf/09csbeyWCw2/1bVZMusxo4dKyNHjjT+nZiYKDdv3pR8+fKl+hyR+z0qRYsWlQsXLoiXl5dD6u3oMs1Qx+wo0wx1zI4yzVDH7CjTDHXMjjLNUMfsKNMMdcyOMs1Qx+wo0wx1zI4yzVDH7CjTDHXMjjLNUMfsKNMMdcyOMs1Qx+wo0wx1zI4yM1Keqsrt27fF398/zfX+E8E+f/784uTkJGFhYTbLr127Jr6+vik+x83NTdzc3GyW5cmTx+7X9PLyctiOlF1lmqGO2VGmGeqYHWWaoY7ZUaYZ6pgdZZqhjtlRphnqmB1lmqGO2VGmGeqYHWWaoY7ZUaYZ6pgdZZqhjtlRphnqmB1lmqGO2VGmGeqYHWXaW563t3e66/wnZsV3dXWVmjVrysaNG22Wb9y40WZoPgAAAAAAZvOfuGIvIjJy5Ejp06eP1KpVS+rXry+LFi2S8+fPy+DBgx911QAAAAAAyLT/TLDv3r273LhxQ6ZOnSpXrlyRSpUqyc8//yzFixd36Ou4ubnJpEmTkg3jf5zKNEMds6NMM9QxO8o0Qx2zo0wz1DE7yjRDHbOjTDPUMTvKNEMds6NMM9QxO8o0Qx2zo0wz1DE7yjRDHbOjTDPUMTvKNEMds6NMM9QxO8rMjjr+J2bFBwAAAADgf9V/4h57AAAAAAD+VxHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYwhf/iHI//xW22cuS2h4eHS2xsrMPKy07/5c/8v+TevXsi4tjPOzEx0WFlJcU+icw6e/as/Pnnn4+6GoDpXLt2TaKioh51NdJllvODWerpCAT7bPS470iPe/1ERCIjIyU2NlYsFku21Pdxeg/Onz8vp06dkqNHj4qIOHybs6vh70hhYWFy+/Zth2370aNHpXPnzrJ///6sVy4bXbp0SSIiIsRisZjic3IU67Y+Tt/D1Diqjnv27JEiRYrIlStXxGKxOKTM0NBQ+fDDD40OA0f4999/RUQcVkeR+5/3f2n/NpurV6/K9evXs1yOqkpMTIw89dRTsn37dgfULPXXwaN3+/ZtiY6OftTVeCSuXbsmV69edWiZN2/elL59+8qwYcMcFu4vXLjgkO+21eXLl+XmzZsOPT9khwsXLkh8fLzD6nnz5k2HnmezA8HewS5fvizff/+9XLt27ZHu8Gmd8OLi4kREHBoiLl++LFu3bpWEhASHlCcicuXKFXn66adl8eLFEhMT45Cwd/nyZVm/fr2sXbtWIiMjs63DIKNWrlwpXbp0kTp16kjr1q1l1qxZIuKYRvWJEyfk2LFjkiNHDoc2qo8fPy5ff/21w8qLiIiQ5557Tnr16mWE3Kx8NgcOHJC6devKn3/+KXv27HFYPZNyxL5z+/ZtGThwoLRv317Cw8Md/jllB0d8z8+dOyfTpk0zAu7j8D1MifUk7ojv4oEDB6RZs2bSu3dvKVSoUJbLs5ZZsWJFuXfvnri7uzukzCtXrki7du3kyJEjDilPROT06dMybtw4GTBggKxdu9YhZR4/flx++uknh+yPV65ckXXr1skvv/wiFy5ccEDt/s+FCxfkwIEDDi3z6NGjsnDhQoeVFxERIZUrV5Zt27ZluSyLxSJubm5SrVo1OXnypIg4rmP53LlzsmzZMuN1Htfjhtlk9n28cuWKtGnTRlauXPnYh/tjx47JqlWrHFbezZs3pW7durJjxw4Rcdw+7uXlJbVq1ZJTp05JSEiI3L59O0vlhYWFSf369eXQoUMOqd/+/fulQYMG8tdffzmkvNRk9bt9+/ZtadOmjXz11VcOqc/evXuldOnScvjwYYeUFxoaKh9//LFDykqKYO9AR44ckbZt28rq1auzfYdPifVLsHv3bvn999/lzp07ydb5559/pE+fPjJjxgxJTEw0GqtZOSAdOXJEOnToIG+88Ybs3bs30+U8KG/evOLk5CQrVqyQlStXZjncHzx4UJo2bSrBwcEydOhQeeaZZ4xwn1VZOQB99NFH8vzzz8tzzz0nM2bMkKZNm8rEiRNl+fLlWa5XfHy8TJ06VcqXLy///POPw0JjdHS0PPnkk3Lu3Lksl2WVO3duadGihdy6dUuGDh2apXB/4MABqVevngwYMEBatWrlkF7v8+fPy6JFi2Tu3LnG8FJH7Du5cuWSrl27ipOTk/Tu3Vtu3rz52IX7q1evyo4dO4xA5uTklOX6rVq1Sj755BP54IMP5OrVqw5ppF+4cMGht12cPHlSxowZI59++mmWywoNDZWGDRvK0KFDZe7cuVmvnPxfA2vs2LEycuRIh5Qpcr/z9/DhwxIeHu6Q8g4ePCjNmzeXW7duScOGDaVZs2ZZLvPAgQNSrlw5OXPmjDg5OWWprEOHDklgYKCMGTNG2rdvLwMHDpTNmzdnuY4iIvv27ZOKFSvKqVOnHFKeqkpcXJz07dtXLl686JAyRUS8vb2lRIkSEhkZKSJZaxNYv8f+/v7GaKkcObLe3IyLi5P3339fJk+eLIsXLxYRx4X7rJaRnR0MD5btiNeKi4uT6OhoiYiIkLi4uEyfywoVKiQ+Pj7y/vvvyzfffOPQcH/x4kVZsmSJvPfee8ZIxsxKTEyU1atXS8+ePR3SthK530YtUaKEzJ07V+Li4hyyjyckJIizs7OMHz9e2rVrJwcOHJDx48en2J63V0xMjMTGxkqpUqWyvO9YzzndunWTtm3bZqmsB127dk02b94sq1atknv37mW5fWUdOXTr1q0s1+3AgQMSFBQkAwYMkFq1ahnlZ9b+/fulZs2aEhERkeW6JaNwiMOHD6uPj4+OHDlSjx07luzxxMTEbH19a/mrV6/WfPny6YwZM/TMmTM268THx+uwYcO0QoUK2rRpU61evbq++eabevDgQZv1EhIS7H7dw4cPa548efS1117TAwcOpFm3jIiPj1dV1Xv37mnXrl21du3a+sknn+i9e/cyVeb+/fvVw8NDQ0JC9MyZM/rll19qQECA7tq1K8N1U1UNDQ3V999/X//4448U622vL774Qi0Wi/7222/GsmPHjukTTzyhgwcPzlTdHnTixAl9+umn1dPTU48cOaKqGfuMU1OhQgX9/PPPVTXr+7f1+fHx8Tp//nytX7++9urVS2/dupXh8pN+1qqqPXr00AEDBhjlZ8aBAwe0ePHiWqdOHS1SpIh6enrq6tWrM1VWUtb6xMTE6Oeff65BQUHasWNHY7sz8zk5+lhz8OBBrVKlipYpU0bd3d21WbNmRr2z+lqTJk3S6tWr69ixY/Xq1atZKvPUqVNqsVh07ty5GhMTk6V6qd7f7qJFi+rzzz9v7OeZtX//fs2XL596eXnp2bNnjeVZef8OHTqkOXPm1EmTJtks/+yzz/Tvv//OdLnx8fEaExOj9evX1y+++CLL9Tx58qQWKlRIR48ebVNOVsrct2+f5syZU19//fVMl2F14MABzZkzp44dO1YvX76sa9asUVdXVx05cmSWy96/f7/mzp1bR48eneWyHlSnTh2dM2eOqjruO9+2bVvt16+fQ8pSVf3rr7+0SpUqeuPGDYfV8fDhwzp06FCtXr26fvjhh8byjJZ/9OhR/eWXXzQiIiLTZaiqzfMdcV590MmTJ/XNN9/UQYMG6VdffaX//vtvlssMDQ3Vvn37avXq1bVUqVJarVo1/eabb4xjsD3OnDmjH3zwgZ46dUpVVbt27aoVK1bUzz77TO/evZvlOh4+fFgrV66svXv31qlTpyZ7PDOf1fXr13XChAlqsVh06dKlWaqf9bNeuXKlli9fXv/880+b5RmVdHuSnr9atmypfn5+Onz4cI2MjMxUPXfv3q0FChTQ8PDwTNXN6ujRo+rl5aVvv/22UbajHDlyRBs1aqTdunXTyZMn2zyWmdexPmfIkCH60ksvqapqXFxcpupmbVM+eL65cuVKpsuznnOyA8HeAW7duqVNmzbVV199Ndljd+7cyfKXyV4bNmxQT09PXbRokc2B1doIT0hI0M8++0wrVKigsbGx+umnn2qfPn3U29tbJ02apOvWrbMpL70D540bN7RevXr62muvJXvszp07mW7EJQ15qqrR0dFGuF+8eHGGG+1HjhxRLy8vI+hZ1ahRQ2fNmqVjxozRrVu3alRUlF3l3blzR2vXrq3VqlXTGjVqaN++ffX333/PcGiMjIzUwMBALVOmjG7fvl1V/2/bW7VqpS+++GKGykvLyZMntVOnTg4J93FxcRofH69lypTRn376SVUz37C8fv263rx502ZZbGyszp8/X+vWrZvhcL9v3z51cXHRcePGGcuef/55bdq0aabqp/p/B+GQkBCNiorSbdu2aYkSJbROnTp68+bNTL2PSU8wSffn7t27q5ubmz755JPG+2Jv+cePH9e//vpLVR3X0N+3b596eHjomDFjdM+ePbp06VK1WCw6fPjwLJWbdPvfeecdLVOmjL7++usaFhamqpmv/4QJE9Td3V0/+OCDLIX748ePa8GCBTUkJCRTjamkrCF02LBhWrJkSW3cuLEePnw4S2WGhYWpp6entmrVyua9mjFjhlosFmM/yAzr/vb0009rz549bZZlxrhx47Rdu3ZZfh+tDh48qLly5dLx48fbLF+1alWGG1r//POPOjs7Jzt3ly1bVmvUqGH3OSElBw4cUA8PD5tjkarq7t27bcJgRlnPM9WrV9fFixerquO+7zNmzND27dtn6rnHjx/X9u3ba3BwsH777be6fft23bt3r3p7e+uePXuyXLek23j06FEdPHhwsnBvr5s3b6qzs7N6eHjo0KFDdfTo0Xrv3j2btpI9Ll++rG3atLGpgyPDzv79+9XPz0/btWunAQEB6u3traNHj9bo6OhMl3nw4EH18fHR/v3767vvvqtvvPGGBgUFqbOzs77yyit67tw5u8ooU6aMdu7cWX/44Qdj+TPPPKMVKlTIcrg/cuSI+vj46OjRo/X69evG8q+//lq//PLLDJeXtG1248YNHTdunEPCver9jp0nnnhCn3/++UyXcfToUZ0zZ06yrDBnzhzjs6pfv74OHTrU7uNo0s603bt3a968ebPUKXTgwAH19vZWi8ViHHdUHbO/Hzp0SPPly6djxoyxuTC6YcMG4z2x93Ws22z975QpU7RixYqZrts///yjLi4uOmHCBJvlEydO1MKFC2f4vHbw4EH18PBIVt4333xjdA5lFcHeAU6dOqXlypXTX375xVj2559/6sSJE7V06dJatmxZ/fTTT1U1e6/cDx48WPv27auqqlFRUbp3714dOXKkvv7663ro0CFjvbZt2+rUqVM1NjZWVVU3bdqkrq6u6u3trZ06ddKff/7Z5mCamtOnT2vVqlV19+7dxrJt27bptGnTtFSpUtqxY0d999137a5/SsEkabjv1q2b1q5dW3/88Ue7y0xMTNSnn35a3d3d9bfffjPKffPNN9XFxUWbNWumlStXVldXV/34449tXjstffv21ZYtW+qVK1e0a9eu2qxZM61Tp47++uuvevHixWR1eNCOHTv0ypUrun//fu3YsaM2bdrU2H9Wr16tFotFt2zZYvd2JnX+/Hn97rvvkgXmc+fOafv27dXT09PYHzJyUD516pSeOHFCVe/3VObJk0fXr1+fqTqq3v+8nZycNCAgQFu1aqWrVq2yCSRLly7VBg0aaI8ePew6uEdGRmr79u2Njibr+z5z5kytU6dOis9Prwf33Llz6uPjo3369LFZXr9+fX3iiSc0MjIyWRnp7T8nT57UsWPHamhoqM3y2bNnq4+Pj44ZM0YbNWqk7dq1y1C4f+GFF9RisSTrJMqsU6dOaY4cOWyuloSHh2uxYsX0qaeeSra+PR2B1nUSEhKMbZo9e7ZaLBatWLGijh07Nsvh/s0331QnJ6dMh/uEhAQNCQnRvn37akJCglGPq1ev6r59+3TZsmV6+fJluzryjh8/rh4eHsY+GRYWpoULF9bGjRsbHWyZ1blzZ61WrZouX75cVe+/j/ny5dMNGzZkuKwzZ87o2rVrdffu3cZ3bdKkSfr0009nqY4JCQnapEkTHThwYIqPW99b60is9Fy8eFEtFovR4WBl7dDISIBMSEjQn376SS0Wi86ZM8cI22+99ZZaLBatUaOG9uzZU9944w1j5IL1nJmeEydOaO7cuZN1zk6ZMkX9/Pz0/PnzdtfTKun58fbt21qsWDFduXJlhsuxOnXqlA4fPly//fZbPXTokN69e1f/+OMPLVKkiF6+fDlDZV27dk3ff/99LV26tA4aNEhLly6tXl5e2rhxY7VYLDpv3rxMd7RFR0cbx4rUwv0nn3yS4XIHDx6szz77rC5btkzr1q2r1apVS3HkYWrH3tjYWA0LC9Mnn3xSGzdubBMSHRF2rB1YkyZNMva7Zs2aabFixYzzQkaPkVeuXNEKFSokG0GSmJior732mlosFn3jjTc0Pj4+1W0IDQ1VHx8fDQkJ0UuXLiV7vEePHlq2bNlMh/vw8HBt1qyZvvTSSzbH2OnTp6uzs7PWqlXLZgRVWu9B0g601MK99fhpjwffE+vnsnLlSi1cuLBu27bN7rKsEhMTddWqVWqxWHT69OlGnWfMmKE+Pj5G2Hvrrbe0Xr16OmLEiHQ7Bm/duqUFChQwrgjv379fCxcurNevX8/UqEXrFethw4bpjBkz1NPTU+fNm2c8npX9/cqVK1q1alUdMmSIzfKZM2eqs7OztmnTxu520NGjR3X06NG6bNky3bp1q6qqfv/999qiRQtjX8zod+a9995Ti8Wi3377rbFs+vTp6uvrq2vXrs1QWZcvX9YiRYoku9D05ptvqo+Pj+7bty9D5aWGYJ8FZ8+e1cTERL1586aWLVtW58+fr9HR0Tp//nytUaOGtmnTRkeOHKkjRoxQJycnm+HWjmDdQf/66y89fPiwDh48WDt37qzr16/X/v37a5s2bbRMmTJau3ZtrV69utFgW7BggbZt29Yo56WXXtISJUroTz/9pC1atNBSpUpp/fr1NS4uLsUvwfHjx/X333/XkydPqsVi0TVr1hjl1q5dWxs1aqTDhw/Xdu3aaY0aNfTXX39Nd1sSEhL0pZdeSjGYWA9Ed+/e1SZNmmiDBg0y9D7dvHlTg4KCtGHDhrpjxw596623NF++fPrzzz/rnTt3VFW1Z8+eWrBgwWRhODWXL1/WOnXq6F9//aVRUVF69uxZHT16tLq6umrt2rX1gw8+MALKg86cOaO1a9fWTp066bVr1/TAgQParl07bdu2rY4bN069vb2NHtGMHjAvX76s+fPnV4vFosWKFdPnn39e58yZY+yrly5d0l69emnu3LmNYGHPgT4+Pl6ffvppzZkzpx4/flxVVfPmzWucdDITwtavX68Wi0UDAgK0Tp06Wr9+ffX09NTWrVvr+PHjdf/+/Tpx4kTt0KGDPv/882mezK5fv667d+/Wzz77LNljX331lRYuXFhv375t0zB/5513dOrUqanW/e7du/rLL79o5cqVtVu3bsYtK9OnT1eLxaKVK1fWDh06aIcOHXTu3Ll66NAhu4Z6rV69Wl1dXfXll182OkqsJ/HNmzer6v2GQoMGDbRjx47pdrJZh3YnJCRoz549NVeuXEYDI63PJa196+bNmzpr1izNmzevTbC3BqgnnnhCJ0yYoMHBwXry5Ml0e62TNjSSfgbW7+KmTZt06tSpGR6Wv3nzZv3555+TLX/jjTfUyclJP/zww0w1Lp966int3Lmz8e9vv/1We/furV5eXurl5aVFihTR33//Pd06/vbbbzp//nxV/b+RGVkJ9ykNf61atap269bNZv9JWqd169aleixSvd8YslgsWqtWLc2ZM6eWL19eW7dure3atbPpBMwI676VkJCg9erVM4ZCpnasCQ4O1o0bN9pVduXKlbVChQpGw+3tt9/W/PnzZ6hD4+DBg8btOfPmzVOLxaILFizQyZMnq4+Pj65YsUI3bdqkixYt0meeeUZ9fX21ZMmSOnz4cLuOdWvXrlUnJyd97bXXbL7jBQoUSHF/tceLL75oc34sUqSIce7NqBMnTui0adM0MDBQK1asqLly5dLSpUtr3bp11cPDwxhRYs/558iRI9q4cWN98skn9dlnn1XV++Hs7NmzunbtWu3fv796enrqsmXLMnyl+dy5c1qrVi3dtGlTquH+hRde0EaNGiW7LS411k6kjz/+WHv37m0sX7x4sQ4dOlRdXV01JCQkzSvDFy5c0GeeeUb379+vV65c0Z49e2r9+vVtwn3SfT0uLi5DnU6pdWD16dNHnZ2dde/evTadjvaef3/55RetVauW0bGUtINV9f6w5dy5cye7jdPq7t27+swzz+jQoUNtlsfGxuqZM2eMETMvvviililTRlesWGG0sewVGhqqpUqVsrlosGTJEs2bN68uWLBA+/Tpo02aNEm3U+vSpUvavn17XbBggbHswXA/ZswY9fHxsevYcfr0aa1Xr55+8803xnfaav/+/VqqVCnjQpa97bakx6H3339fLRaLfvDBBzp16lTNmzevTb1iY2N1+vTpWq5cOX3ttdfS/cw//PBDdXNz0ylTpuiPP/6oAQEBeu3aNY2Li9PY2FiNjIzUqKgoTUhI0FOnTqX63QwNDVWLxWIMQ79y5YpOmjTJYeH+xx9/1OrVq9ucC+fPn2/c4tukSRPt0KGDXZ1ZkydP1u7du2uRIkW0UKFCWrFiRS1VqpRaLBajcza9MlIyduxYdXFx0XXr1unMmTOTfTZWabVRY2Ji9N9//9UOHTpoYGCgLlu2TFXvd2Dkz58/2YjpzNZVlWCfaffu3dN69epp6dKlVVV19OjRWqhQIS1atKh6eHjo7NmzbYJThQoVUhyynlU///yzurm56c6dO/Xzzz/XqlWrat68efXZZ5/VefPmacOGDbVChQqaP39+4wB78+ZNLVq0qH788cc6ePBgLVSokHGveUJCgv7222+pHtj37dunuXLlMhqrL7/8slosFq1QoYK6urrq9OnTdf/+/ap6/8px3rx59b333rNrW65evar9+/dPMZhYA9OZM2fU3d093ZP4xYsXdeXKlfrBBx9odHS0Xr9+XevXr6+FCxdWLy8v4+q4tfx58+Zp2bJlUx2qdP78ef3444917ty5xgmnZ8+eNp/pkCFDtHjx4vr666+rj4+PlilTJtV7KxctWqRBQUHavXt3vXbtmu7fv1/btm2r7u7uOmzYMGO9jBwsY2Ji9MaNG9q+fXutXLmyNmrUSMeOHauFChXSMmXKaI0aNfTdd9/VxYsXa+vWrbVQoUIpzgfxIOvQvDNnzmjbtm21WLFiumXLFm3evLmuXLlSL168qAcPHtR//vlHz507p8eOHdP169frtWvXUizv2rVrumvXLr148aJu3rxZixUrpuPHj9etW7fq7t27NSQkRCtXrqyVK1dWPz8/9ff3V4vFoiNGjEjxIHfkyBGtV6+etm/fXjt37qzx8fE2661du1Z9fHxswueECRM0R44cyeaXsNq1a5exP3z11VfarFkz7d69uw4bNkwLFCigX3zxhV64cEF//PFHffvtt7Vo0aLq6+urrVu3TjW8WLc7LCxM169fr4ULF9Zx48bpqFGjkl1pTUhI0C+++EIrVKig3bp1S3U/uHfvntatW1dLlSqliYmJmpCQoN27d7f5DiV9bkxMjI4cOTLNnuHQ0FDt0KGD/v333/rWW29p+fLldcaMGTpnzhzNmzevzps3T3/++WedOXOm1qpVS8uWLasFCxbUhQsXplqm6v81NKwdBTNmzNC8efPaBJ2JEydq7dq1dcSIEanuP1bffvutWiwWtVgsKfac9+/fX/Pmzavvv/++XVcLExMTjePM5MmTNSgoSN955x197bXX1N/fXwcOHKhff/213rt3TwMDA7VevXqplvXPP//o+PHjk12ZzUq4T234a8+ePdVisejo0aOThZ/XX39dixYtqhcuXEi13M8++0wbN26st27d0oMHD+rmzZt15MiR+uKLL6qXl1ey4ZHpOXPmjC5atMgIMh07dtQyZcro7du3VTX5Me3EiRPatWtX47yRksTERJvPsE6dOlq+fHl96aWXNF++fCl2mu/cudO4jSep/fv3q5OTk06cONFYNnfuXGNf+u6772zWv3fvnl64cEEnTJiQrEGfluXLl6u/v7+OHTs2xe+41cmTJ9Ms58yZM3rr1i2Njo7W3r17a65cufT333/X5s2b67Rp0/TQoUP6+++/65YtW3Tfvn26detW/eKLL5KNCLKKjo7W5s2ba7FixYxl27Zt0w0bNmhISIjWrFlTS5cubRz30zoHWefYef311/X06dPG9+fBDs6XXnpJ3d3ddeXKlRnuaAsICNBy5crp1q1bUwz3Bw8e1AoVKug777yTZjnWzm2r8PBwLVKkiM0tHV27dtW8efPq008/rUWKFNFatWrZXKmzOnXqlNatW1fbtWunhw8f1suXL6cY7q377bBhw7RRo0YZui3zwQ6smTNnao4cObRo0aLapUsXfeKJJ7R37976yy+/2N35NmfOHC1SpIjxXUxaT9X759I8efIYoxcfFBsbq40aNdL333/fWLZu3ToNDg42Ojy7dOmiqqoDBw5UX19fu4fOW0PR119/rS4uLjajeE6cOKE7duxQ1fv7XM+ePbVMmTJpzpF09epVbdGihTZt2tRmREfS8/PZs2e1Q4cOOmbMmHTr98svv2jr1q01X758Wr16dX3rrbdsjquvv/66FihQwO7ROCkdh959990Uj0PWOsfGxuo777yTavv8/PnzumjRIp07d65u2bJFf/jhB82RI4c2bNhQPT09NW/evBoQEKDly5c38soTTzyhlSpVSnHfvHz5svbv318HDRpks9yR4X7ChAn6xBNP2CxbsGCBMTrpq6++0kaNGmnTpk1TPXYcO3ZMX331Ve3Ro4d+/PHHevfuXb169ap+/fXXumDBAm3WrJm2atXK5rtsT2BOuq9YR7Q4OzuneLFyypQpNiOhk0raEWg9VjRu3Fi7dOmi+fPnT/H8tWnTpnTrlxqCfSYlJibqli1btHz58hoYGKiqqtu3b9fPPvss2Zfu+vXr2qhRI2M4vqPcuHFDp0+fbkxkoXq/EXDo0CGbE+6LL76ozZs319u3bxsn3AULFqibm5uWLl3aGEqf3pcy6b3GVlFRUfrLL7/o/PnzbRo9iYmJev36dQ0MDNRVq1bZvU1Xr141Gi8PBpOEhATdtWuXVqlSxbhqnJLDhw9rtWrVtFevXjaN3Vu3bhmjGDZs2GDzpR0+fLjxHj3owIEDWqJECa1WrZp6enpq7ty59csvv9Tdu3ert7e3njhxQl944QUtVKiQ7t27V1XvN9beeuutZPVMejBZsmSJNmrUSLt3765Xr17Vw4cPa9u2bbV58+YZHuJuPXDs27dPr1y5or1799aWLVvqqlWrNC4uTnft2qXPP/+8tmnTRp2dnbV8+fJqsVi0XLlyGhsbm+pB7t69e1qnTh3jwHvu3Dlt3bq15s6dWy0WixYvXly9vb3Vzc1Nc+bMqT4+PporVy7Nly+fzSRhVkeOHNGGDRtqy5YtjSuiS5Ys0SJFiujQoUNtJu/ZsmWLLlq0SFu1aqWVK1dOMQAl3c/PnTuX4j588OBBm+Gv48ePVw8PD5tbSJLav3+/enp62nSwfP7559qoUSN1dXW1uQJgdfXqVf31119T3S9T2u6lS5dqwYIF1cXFRZcsWWKsa90v4+Pj9euvv071JK76f8ehihUras2aNZOFe2uj0NrAtHbEpRXslyxZYty6cPnyZZ06daqWLl1aLRaLUV5Sv/32m06cODHF+8YfbGj8+OOPmiNHDm3cuLEWLFjQCDpJg8CoUaM0MDAwzWC/Z88ezZcvn65du1Zfe+01zZkzp03YVb1/oi1UqJDmz58/3ZE4x44d02HDhulTTz2lCxcu1HPnzmm3bt20cuXKWrp0af36669thidbb+9IqaERExOjtWvXNkY2BAcHp3gMDAsLU39/f23atGmqE49apTf8tVevXlquXDldtmyZ0YFrnW8gvQlC33zzTa1Vq1aKHVKrVq3SwoUL64gRI+wKtUk7H6y3TG3fvl29vb1tRkCo/t+xcOLEidqkSZNUJ+6yfjadO3fWadOmGcutw7xTut0rJCREK1SokGwfOnLkiLq7uxsTDiY9XnzyySdqsVh01qxZNo1ce4eu3rlzR//991+b27F++OEHzZ8/vzo5Odl8x63bPmnSpDTnH4iNjdWgoCD19/fX8PBwvXfvnvbo0cNo/BcvXlwLFiyoHh4emjt3bvX19dU8efJovnz5Uu0wSEhI0D///FPLlSun1atXT3bMvHTpkjZu3FiLFy9ubEdKx9UbN24Yo/OSSnouSfq9Hj58uFoslkzdI12rVi0tXbq0btmyxaY9YPXMM88YgTIl1gsxJUqUsKnf8uXLtWvXrhodHa39+vXTQoUK6YkTJ/TWrVu6d+9ebdOmTar7/fHjx7V169baqlUrm3Bfr14942pcYmKiDh06VF1cXOy6Yp9WB5Y1AISFhWliYqIuXLhQBw4cqE5OTlq/fn29ceNGimUm7dD45JNP1NXVNdURGYmJiZo/f36dMWNGimVFRERouXLldODAgRoaGqrTpk3TsmXL6tNPP63vvfeefvLJJ1q8eHGdMmWKqqr269fPGF2UltDQUG3WrJlev35d9+7dq66urine/27djiVLlmjdunWT3fZoZd3vwsLC9Omnn9bGjRvbhPuk+2WPHj30ySefTLVuDx7jN2zYoOPGjdPcuXNr1apVtVevXnrmzBndtm2bNm3a1LjolVZ72t7jUNKOyfSOQw+2Uz09PfXTTz/Vn3/+WZ2cnLRChQq6YMEC/fjjj/Wzzz7TRYsW6ZIlS/TLL7/Uo0ePpljm8ePHNTAwUNu3b5/s1tCwsLAUw709gTnpPjljxgz18vJKtfM5ISFBR4wYoU2bNk3xlq39+/drgQIF9Mknn9Tu3burk5OTzpw502adv/76Szt37qyBgYH6/fffp1m30NBQDQkJ0VOnTiXroHzzzTfVYrHo119/bbN80qRJad4KllpHoJeXl80krdb9YOLEierp6ZnhW6KsCPaZkHT4044dO/SJJ57QunXrprpDW3ukUgo6mXXkyBF1dXXVkiVLGicRK+sJt0ePHjp69Gj18vLSAwcO2NRv7969WrBgQWPSl/RCvXXm4AdnhVy3bl2qB9fx48drQEBAqj2YSb9ASXu5rl69agwptg4ttZo4caLWr18/1Ua/9dcJXnvtNZt1vv32W926daveuXPHuNpmvco3ZcoUzZ07d4q93tbtHjNmjN68eVN37typvXv31nz58umuXbt0wIABWrBgQS1ZsqTRw5hSwyOplMJ9t27d9OrVq7p//35t3769tmjRIt0DUFIPHjguXryoPXv21Nq1a9vcjxYTE6N//fWXfvTRR9q9e/d07+mxBscKFSpo7dq1VfV+51GPHj3Uw8NDP//8cw0LC9PDhw9raGioHjx4UI8ePZpi+HgwhCc9aFqvbo0YMUL/+ecfm+dFRUWlOJzPnoal6v1wmStXLt25c6dOnTpV3dzcUg31D+7nScvasGGDNmnSRLt06WIEsYSEhHRPuGlt9zfffKN+fn46cuRIm06BjNwHl5CQoDt27NAyZcqkGO6tHWRDhgxRDw8Po/MpNdOmTdMaNWoY+29YWJhOnTpVy5QpYzMDe3rDalNqaCxZssRoaCQdBqtq29hKa5KfEydO6MSJE43RMAkJCTpo0CDNlSuX/vDDD0ZDbMyYMbphw4Z0Q721YfDUU09p9+7dNUeOHEYjMCoqKsUJ1AYMGKC9evVKdSTAzJkzdc6cObpx40adNGmSent767PPPqvvv/++zXHh8uXL6ubmpm3btk21rIwOf/3mm280JCRE3d3dU93Pk352U6dO1WbNmtk8/mD4KVGihA4YMCDNRnpqnQ93797VmTNnqoeHh7Zq1Uq3bNmiN2/e1G3btunLL79snJ9SkvSz6dGjh7q4uNiE+4YNG2rp0qX1zz//NN5Xa4fGg78McOjQIc2fP7+WL1/eWBYXF2fzeViv3E+bNi3Fq/2pOXbsmPbt21fLlSun7u7u6unpqT179tTz58/r1q1btWDBghocHGwz8mHixImaI0eOdAPfoUOHtFatWlqpUiW9efOmRkVF6YgRI9Risehnn32mkZGRev78eb1w4YJeuHBBL1++nOr358G2izXcP3jb26lTp7RZs2bq6emZ4rFc9X4bpHTp0rp58+YUz3UpDRMfNWpUqiMJrM6cOaPvvvuuvvnmm/rNN98Yy2vXrq2lS5fWrVu3Gu2F+Ph4jY2N1WeeeUbfeOONVMu0nscqVapks73bt2/XMmXKaKVKlbREiRIZ/pWc1MJ9/fr19dNPP9VXX33VrmOuauY6sFTvd3KmFoqsHRrFihXTxMREvXLlihYrVkw7d+5sdKRZ38u4uDi9fPmyNmjQINVhwar3O3KdnZ21ePHi6unpqR9++KHR+REbG6utWrVKdgtBeqxBXfV+6CtVqpS2aNEi2Sge6+f22muvaadOnZJ9R5Me11IL90l/iUZV9bnnntNx48al2H6/ePGidu3aNcUrqhcvXtQpU6ZotWrV1N/fX/v27av58uXTVq1apbmt2XEcSqmd2qdPHy1QoIAePHhQP/vsM82RI4dNALfXiRMntE2bNtq6detUw33evHmThenUPLhP7t69W318fHTUqFHGtlo/u6Qz2w8ePDjZOdI6Qam1vWb95a/g4OBkHTJbt27Vbt26adWqVVO9N96eTvmRI0eqi4uLcSvIxIkT1c3NLd3jeNJjxaFDh4yc06BBA5tO3/Hjx6d57rYHwT4DkobPpEPCduzYoWXLltVq1arZHBy2bdumw4cPVx8fH7sO7PZIWr716tvUqVNtDgpHjhzRokWLav369bV27dqpHhxHjhyZ4lWNB50/f17z58+v3bp1s1k+depULVKkSLIg9ueff+qrr76qefLkSTU4pvQFSnoPTFRUlPbp00ednJx02rRpOnfuXB05cqT6+Pik2gi8ceOGNmnSJNl9kNb7gps0aaI7duzQqKgoDQoK0sDAQH3mmWdS/RJZt7tr1642y7/77jv19PTUvXv36uLFi9VisRiNSHvvh0ntyr31nvt69epleObxtBoZmZlc6MFGoHW+BtX795u1bdtWS5YsadNQS60zI7UQ/mC4z8jVQXsbljdu3NBy5cpp7dq107xSn9p+Pnv2bGOUyhdffKHNmjXTTp06GcP40/rMs2O7r1y5YgxLtIqNjdW//vpLS5curTVq1LAJ997e3tquXTvNnTt3qief1ILeg+G+fPnyNrN8p9YBkVZD49ChQ/rpp59qjhw59M0337R5/9Lr0IiIiNBatWppgQIF9JVXXjGWW6+MOTs765NPPqkdOnRQLy+vVK9EJK3ngw2DoUOH6ssvv2x0JiXdtyIjI/X111/X/PnzJzvuJbVp0yb19vY2gsLly5d18uTJ6u7urnXq1NEPPvjA2H+uXbuW5gikjAx/tU6gmNZnbW2sWkdLTJo0ydjnrdsaHx9vs48uWrRIK1SokOq9+ql1PlhvD9q2bZsuWrRIq1evrhaLRV1cXLR8+fIpnp+s0mq0Jb2XMSgoSEuUKKF79+7VCRMmpNhxZx1tZr36PWLECOOxBycKe++994xZkO2Zvf7AgQNaqFAhHTx4sC5dulRDQ0N1zJgxWrJkSS1btqyeOnVK161bp4UKFdLhw4fr5cuX9Y033ki3MZh0osnQ0FCtX7++1qpVS8PDwzUqKkp79eqlXl5eNo3t1I5FabVdHgz31v8eP35c27Vrl+oxaeXKlers7GxTzwfduXMnQ2H5wIEDWrRoUW3UqJGWKlVKc+bMaVwBVVWtW7euBgQE6Lfffqu3bt3SO3fu6MSJE7Vo0aKp3i6SXmfG66+/btzekNpz05LSebdv377q5eWlrq6udl2pt7cDK7URC6lJ2qFRq1YtVb3fcevl5aWDBg1K1vazXoRK69Yd1fvnyt27dyfrQEpISNCuXbvq+PHjNTEx0e720LRp07RmzZrG8d86sqtz587GnBKq98+no0aN0jx58iQbIWY9riX9HJOG+y5dumjjxo2N0QjXrl3TyZMnq6+vb6qdTadOndL69etr+/btbUarWb9P1s9g1qxZ2r9/f2MkzbVr11Lc9uw4DqXWTl2zZo3mzp3baCt89NFHmiNHDn3rrbfsngTU6vjx40a4f3DUXlhYmL722mtatGhRvXnzZrqfedJ90tqZM2jQIHVxcdHp06fbjJa6c+eOhoSEqK+vb7JzeWrb3b17d61ataqWK1dO27RpYxOa//zzT+3bt2+aF1lT65SfN2+e8flMmjRJPTw8tGXLlporVy67Q3habfSvvvpKp02bluVQr0qwt9vZs2c1ODjYJlQmPUHu3LlTK1SooM2bN1fV+wGgadOm2rJlyyz/tJH1NVIydOhQdXNzs5lEx3rCPXjwoF6+fDnVE+68efO0atWq6Q6Vt0721rFjR+NLPX36dM2fP7/NLwGo3r8y3rx5c23UqFGq9y9bpfQF6tGjhy5YsMCo89y5c7Vy5cpap04d7dGjR5rv5T///KOlS5fW33//3Xj+woUL1cXFRRcsWKAtW7bUVq1a6fbt2zUqKkpr1KihHh4eqXY+JN3upI2nbdu2qZeXl9EgrVevXrIZPe2R9DP99NNPjXB//fp1PXPmTKZ+czOtA0dKE8ulJK1GYNJwf/bsWW3VqpWWLFky3fuE0wrhSRsAK1as0GLFiulzzz2X7hC+jDQsO3TooN7e3mnex5vafu7l5WVzT9WqVau0VatW2rRp03S/247e7vPnz2u+fPnUYrFoUFCQjh07Vn/77TdjKO/ff/+t1apV06pVq2piYqLGx8dr165d1d3dPdXOxbSCXtLGxqVLl3Tq1KlasWJFffnll9Osoz0NjUWLFmmOHDl0+vTpGbo3b+/evRoQEKBVq1ZN9nkuWLBA+/btqz179kz3vlN7GgZt27Y1Zk1eunSp9unTR4sVK2ZXR+2oUaO0V69eRqdJ9+7dtVy5cvrcc89pUFCQ0chKT0aHvw4dOjTNbbc2Vtu2bat79uzR119/PdmvPiRlvUqS1pWjtDofcufOreXLl9emTZtqVFSU/vbbb7p06VLdt29fmnOapPfZNG/e3Lj9okmTJmqxWNTT0zNZkNq1a5e6uLjo5MmTNT4+Xj/66CPNnz9/mo1q62SW6U1cae3AGjt2bLLj9ZdffqlVq1bVOnXqaFRUlH711VdaokQJLV++vObMmdOu0RRJj8WvvvqqWiwWrV69ut68eVPv3bunzz77rHp7eycb2ZaUvW2XFi1aJHtuWuegbdu2qbu7u81V9Qe9//772rJlS7vmuLC+lyEhIRoTE6P79+/XihUraqVKlWxGBbZq1UrLly+vRYsW1TZt2miJEiVSPIen15lRpUoVTUxM1KNHj2qdOnWM+28zM2t40vPukSNH9PLly/rCCy+k2fmXdLsz0oG1bdu2DB0vrSO6AgICtHHjxqp6/4q3t7e3li1bVufNm6dTp07VF198UfPkyZPpi1AxMTE6fvx49ff3T7Oj0iq1zmTr+79ixQp1dXXVUqVKaa9evbRfv37aoUMHLVy4cIp1TC2EJw33gwYN0vLly6u3t7cGBQVpQEBAmm0C1dRD7YNz+fzzzz965MiRVLc9u45DabVTvb29bX5pyHohKr35KFKSVri/evWqXT+ll9Jo56CgIFW9f2y3jur69ttv9a233tI+ffpovnz5UuwcS629ljNnTp06daouXrxYy5cvrwEBATb7S3ojDVPrlHdzczM65Y8ePaqzZ89WFxeXDH9fUusIzJs3r7q4uGQ51KsS7O128OBBLVmypA4ePNimMW/9EsbGxur333+vFSpUMO6P3rFjR5Z+N9LK+mXYunWrzpgxQ8eOHasrVqwwHh88eLB6eHgYQ7ftOeF++OGH2qJFC23fvr1dB2Hrl7pjx446cOBALVCgQIr3ga9bt05PnjyZ6v2SSdnzBbp27ZrGxMRoTExMupPuLF++XJ2cnGwOthcuXDBmbj906JA2b95cq1evrmFhYRoeHp7ub7Zat7tVq1b6zz//aGRkpBYsWFBHjRqlqvc/m5kzZ2rVqlXTnQQpJSmF+z59+hgNmaw2MpIeOMqXL28zKiIl9jQCrT2hqvdPZg0bNtRKlSqlea++vSH84sWLumbNGi1fvnyaM3mr2t+wbNWqlb7//vt2XQ1/cD8vWLCgsZ8nrfOyZcu0Y8eO6V7ZcPR2nz17VqtVq6Zly5bVWrVqab9+/dTd3V2rVaumvXv31i+//FK/+uorDQgIMDoZo6Oj0ywzo0HvlVde0SZNmqQ60udhNDQOHDigVapU0RdeeCHFzhV7vjcZaRj88MMPOnz4cA0ODrbreKl6fxKo+vXra3x8vA4YMEB9fX2Nup48eVIXLFhg98R5jh7+euLECW3durV26dJFa9asqdWrV9c+ffpo37599bnnntOePXtq7969tUuXLvrSSy/ZzMCdkvQ6HxYvXqwlS5Y0fn4pPfZ+NiVKlDCO4U8//XSKAe+PP/6waTzfunXLrkZ1erdwpNT5kHQCRtX7nVe5cuXSRYsWqer9+2dLliyZ6qizlK46qt6f+T9fvny6ePFirVmzpjEs/969e9q+fXstXLhwqufHjLRdrBN22XOl9eLFi1qwYEHt2LGjzRWwpM999dVXNSQkJN3yUuvIadasmRYuXFivXLliM//N+vXr9Z133tGvvvoqxatv9pzHypcvb5zHunbtqjVq1Eh3m9NiHeFQt25dPXLkiF3hO6MdWIGBgerj46M7d+5Mtcy0RnSVKFFCmzRpoqr3f52lTZs26u/vr9WqVdP+/ftn+ic4ly9friNGjFBfX1+7gk56o4as+8u2bdt04MCBWq1aNQ0MDNQJEyak2c5KLXxaO3kiIyP1wIED+sorr+j27dvtnugurVAbHR2twcHB2qlTpzSvhGfXcShp/VJrpya1bNkyuzqc0nqd1q1bZ+in/dLqZCtdurTx82+zZ8/WatWqac6cOY1O8LTqmrS99sILL9i011TvzwllsVj0o48+ytB22tMpv3z58gxNhvlgvZN2BF66dMnujkB7EOwzYN++fVqjRo1kjUnrjmr9bdnUJh7JitWrV6uXl5f26dNHO3furOXKlbP5jeEhQ4aol5eXfvXVV3adcF9++WV96623MtTze+zYMW3ZsqUx67+1zKSTIBUpUiRDO3taX6AmTZpojhw57H4/t2zZom5ubrp69WqjblbW7Vy0aJHWrl073UCW1PHjx7Vt27bGSTU4ONjm8dDQUC1evHiGykwqaT0/+eQTrVu3rvFzd5n5qQtrnZMeOC5evKgDBw5McyI2VfsbgeXKlTPuUzpw4EC6J0h7Qvh7772nLVu2VNW0rw5a2bOfBwcH6+TJkzP0Pqa0n1s9OCw7Pdmx3SdOnNDOnTtrp06ddOfOnXru3Dn94osvtGHDhlqnTh318PDQSpUqqcViSXNCqQfLTC/oWa+aPPPMM+l2ujyMhsbevXuN43FmG6T2NgxWrVqlsbGxGf65LusxzN/fP90rQ+lx9PDXo0ePatu2bTV37tyaL18+HTx4sLZu3Vrbtm2rzzzzjHbu3Fk7dOiQ7sgrK3s6H/r27Wv39tr72SQdJZAe63sTERGRaqM6pXvDU5JaB9aDz23SpIk+9dRTxr9TmqDVytrJ1q5dO5sOjbx58xo/B/jPP/9o9erVtVq1anrjxg2NiYlJdZ4bK3vbLrNmzUqznAetXr1a3dzctE+fPjbfwTt37ujYsWO1ePHidv2iQkodOdOmTVOLxaJVq1bVVq1aaYsWLTQkJET379+f7rHX3vNYmTJldNOmTbp582YtVaqUMTFdZoWGhurTTz+d7gUDq8x0YDVv3jzVTmp7RnRZR0Amfc6Dk/ZlxNGjRzUoKEg7d+5s93E8o53JGRk6ntYV9vj4eB01apQ+/fTTKU7EltFyrb944OTklKErt448DiWtX2rt1Kz8znxKr9OhQwetV69esg6klNjTyRYQEKCdOnUyHj99+rTGx8fb9RmllktiY2P14sWLWrVq1WST3aUnrU75EydO6Lx587I8EjszHYH2IthnUGqNybi4OL179662b98+3auiGXXy5EktVaqUfvDBB6p6/0Dq4+NjM2u36v2Zkf39/fX27dvpnnCLFSuW7v2nqdWlVatW2rZtW+NKuKqmem9jehx5VevChQspBr2kXn31Ve3atatdoSyp48ePa7NmzbR48eI2P7VnvTqT0d9qfVDSg3f79u1tDnKZlfTAERoaavfVf3sbgUl/jSE99l7dsf4+q70nM3sallndzx+8hzUjDb/s2u6jR49q69attWXLljaThIWHh+tnn32m48aN0xo1amSosZFe0Hvqqae0ffv2dp/QHkZDY+/evcZtOulNypWa9BoGVapU0a+++ipDZVo/x59++knLlClj3CqVldCQkowOf33QiRMntH379tqyZUu7A3xaHN35kJFGW0bf26SN6qTzNWRE0sZ+ave6BwUFZWg0hbXMTp06pTo6LjQ0VEuUKKENGjSw+7uUHW2XhIQE/fDDD9XZ2VnLli2rzz33nL700kvasWNHLViwYIaOPw925BQoUEBXr16tV69e1T///FMXLVqkZcuW1UKFCmndunXTHCGmav95bM6cOXrnzp105xqyV0YDsiM7sDIyoisoKMjm/cvKsenq1asZmmxSNf3O5GeffVZ79+6tnTp10iFDhiS7kp2WtEJ4jhw50p002J5yN23apKNHj7Z7csTUOOI4lLR+KbVTHX3eCQ0N1WeeecauDix7O9nKli1rjBiytlXtrXdauaRkyZJ2j8xIypGd8qnJaEegvQj2mWA9QT733HPGFzomJkYnTpyoxYsXd+js96r3Z26tUqWKqt4/cBctWtTmdyWT9kpaZ0h25An3QUkPbnv37tW33347SxM+OPIL9M0336irq2uyoBcREaGvvfaa+vj4ZLqnLensoCn97FdWWQ9iQ4cO1R49emS6Bz2pzB44MtIIdGQIz8jvZas+vP08K593dmy3tX6tW7fW1q1bp3iPbWbmaHB00HsYDY2///5bAwMDM/3TMKrZ0zBQvX9f5xNPPGHzW9mOktHhr6k5duyYsR8l3XZVx3xOWe18yK7PRvX+eeHjjz9Wi8Vi8zOuGZHacSIhIUEvXLigbdu2NX66KysdGtYyk65z+vTpDNU1u9ouf/31lz7zzDNavXp1bdSokY4ZMyZTn3XS7U5p9MDt27d1+/btdv2Emmr657F27doZs1s/So7swMrIiK4Hf4LyYXP0qKGksiOEW8vt0KGD+vj42D05YnoccRyyyu52qlVG2qfZNWIoqdRySUY/74fVKW/liHb+gwj2mbR//35t3LixlitXTjt16qRdunTRokWLZronMCVJ7zMKCgrSv//+W4sWLaovvvii0aO1b98+HTp0aKpXqxx1wn2Q9eBm/R3uzIT67PgCxcfHG0GvXLly+vzzz+ugQYO0Q4cO6ufn57CDur3DkDLq33//1YYNG6Y78VdGZPbA4ehGYHaG8Ozez7PyeT+szoeM3POWFkcHvYfR0MjoEPmUOKph8KDly5drrly5bOYWyKrMDH9NS9L9PK37dzPKUZ0P2fXZqN6//WXp0qWZ6lxLqX5Jr9yPGTNGq1atmqnbtFIbNZTV0S7Z1XZx1Cic1LY7Mx2Vqumfx9K7Pe1hcWQHVnaM6Mouju5MTio7Qrjq/fe3Y8eODpkY28oRxyGr7G6nZsbDGO3siFxilZ2d8tmNYJ8F586d03nz5mnXrl112rRpmQ4SSYcmptRwPnXqlPr6+qrFYtEXX3zR5rHg4GBt2rRpmrNmOvLejaQcdXDLji/Qzp07tUuXLlq1alVt1KiRhoSE2DV5mj0yMgwpMxwRUhwlOxqB2RXCs2s/d9Tn/Th3PqRVpiOC3uPY0EiJIxsGVhcvXtSgoKBMz8GRmswMf02Lo49r2dX54MjPxsoRV2NS6nzInTt3lkahOWrU0IMc1XZJylHDulUdv90P40KMIziyAys7RnRll+wcNZQdIVw1Y/f928uRV4Wzu52aGQ9jtLMjP+/s6JR/GAj2jwHrbLbWK6tbtmzR2bNn6wcffGBMivPjjz+qi4uLDh48WLdu3aq7d+/WV155Rb29vdPt5XTkCfdBjjq4ZccXKDMzytsrO4bPPK6yoxGYHSE8O/dzR33ej3vnQ3aW+Tg2NFKSHQ3Bx6mzLi2OPq45uvMhuxrpjpIdnQ9m6RRzNEdvd3acx7KDI/eh7BjRlV2ya9SQavaEcDN4HNupD6OTzVGfd3Z1ymc3gv0j9tlnn6mfn58xy/RXX32luXPn1mrVqmlAQICWKlXKmPxr9erVWqxYMS1cuLCWL19ea9eu/dj1OGdWdnyBsjPoIWv+q5+NGTofsrPMx7GhkZL/akPQDB73zyY7Oh/M0inmaP/V7XbkPmSmjqH/6uf9X2OWTjZV83TKJ2VRVRU8Mn/++aeEhIRIVFSU/PzzzzJv3jypWLGi9O7dW/bv3y+TJk2Sbdu2yc6dO6Vs2bJy6dIlCQ8PF1dXVylQoID4+Pg86k1wmHv37om7u/ujrgYAAJkWFxcnLi4uDi0zNjZWXF1dHVqmGfxXt9uR+9DRo0dlwoQJ8s4770ixYsUcUmZ2+a9+3oCjEOwfA9u3b5fRo0fL1atXpVixYvLOO+9ItWrVRETk5MmT8vLLL8u2bdvkr7/+krJlyz7aygIAAMA0CMzAf0OOR12B/5rExEQREUnan9KgQQP54IMPJCAgQP7880/j4JuYmChPPPGEvPfeexIYGCjly5eX06dPP5J6AwAAwHwI9cB/A8H+IcuRI4ecP39eNm7cKCIiy5cvl169ekmVKlVk3LhxUrNmTenYsaP8+++/kiNHDlFVeeKJJ2TmzJnStWtXiYuLe8RbAAAAAAB4nDAU/yFLSEiQJ598Uq5evSpt2rSRt99+WxYsWCCDBg0SEZEdO3bI6NGj5ebNm7Jp0yYpWLCgqKpYLJZsuW8PAAAAAGBuBPtHpHLlynLkyBEZOXKkzJ492+ax7du3S0hIiERERMj69evFz8/vEdUSAAAAAPC4Yyh+NrPeUx8dHS0xMTFy/PhxuXnzpuTOnVuqVKkiO3fulLVr1xrridy/5/7tt9+W+Ph46dy5syQmJgr9LwAAAACAlHDFPhslJiZKjhw5JDQ0VMaPHy/Hjx+Xo0ePSmBgoJQtW1bmz58vzZs3l+joaBk3bpy0a9dOcuT4v76W0NBQcXd3l5IlSz7CrQAAAAAAPM6cH3UF/lepquTIkUMOHTokjRs3lt69e0u7du0kT548snz5clm4cKHcvXtXVqxYIX379pVp06aJqsqTTz4pISEhcuXKFVm2bNmj3gwAAAAAwGOOK/bZ6N9//5XWrVtL69atZfr06TbLv/rqKxk5cqS8+OKLMmfOHGnfvr1cunRJ8uTJI6GhofLTTz9J/fr1H2HtAQAAAABmwBX7bHTx4kWJi4uTXr16SUJCgjg5OUliYqIUKFBAevfuLeHh4fLGG29I9+7d5euvv5YlS5ZIVFSUfPLJJ1KuXLlHXX0AAAAAgAlwxT4bLV26VF566SWJjo4WETF+ts7qzJkzUr16dQkJCZGQkJBHVU0AAAAAgIkxK342euKJJ0REZPXq1SIiNqFeRKRkyZJSqlQpuXr16kOvGwAAAADgfwPBPhuVKFFCvLy85LPPPpPz588by60/bRceHi4eHh5Ss2bNR1VFAAAAAIDJEeyzUZEiRWThwoWybt06mTBhghw5ckRExPhJuzlz5sjly5elcePGj7KaAAAAAAAT4x77bJaQkCCLFy+WYcOGSenSpaVhw4ZSqFAhOXv2rPzyyy/y66+/SvXq1R91NQEAAAAAJkWwf0j++usvmTlzphw7dkzy5Mkj1apVk2HDhjH7PQAAAAAgSwj2D1FCQoLkyJFDLBaLJCYmGkPyAQAAAADILJLlQ2QN9SLJZ8gHAAAAACAzuGIPAAAAAICJccUeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAA8ZB9++KF4enpKfHy8sSwqKkpcXFykcePGNutu2bJFLBaLHD9+XEqUKCFz585NVt7kyZOlWrVqNstu3rwpwcHBUqJECXF1dZVChQrJc889J+fPn7dZr3///vLUU08Z/7527ZoMGjRIihUrJm5ubuLn5yetW7eWHTt22L19+/btk65du4qvr6+4u7tLmTJlZODAgXL8+HGb9ZYtWyZ16tSRXLlyiaenpzRp0kTWrl1rs87SpUslT548Kb5Onjx5ZOnSpca/LRaLuLu7y7lz52zWe+qpp6R///7GOmn9pbRe7ty5pWrVqsZr/fHHH+Li4iJbt261eZ07d+5IqVKl5JVXXrH7vQIAwBEI9gAAPGRNmzaVqKgo2b17t7Fsy5Yt4ufnJ7t27ZK7d+8ayzdv3iz+/v5SpkwZu8u/efOm1KtXT3799Vf54IMP5OTJk/Lll1/KqVOnpHbt2nL69OlUn/v000/LgQMHZNmyZXL8+HH54YcfJCgoSG7evGnXa69du1bq1asnMTExsnLlSgkNDZXly5eLt7e3TJgwwVhv1KhRMmjQIOnWrZscOHBA/v77b2ncuLF06tRJ5s+fb/e2PshiscjEiRNTffzKlSvG39y5c8XLy8tm2XvvvWesu2TJErly5YocOHBAunfvLs8995ysX79eAgMDZfjw4dK/f3+5c+eOsf7o0aPFzc1Npk+fnun6AwCQGc6PugIAAPzXlC1bVvz9/WXz5s1Sr149Ebkf4Dt16iSbNm2S7du3S4sWLYzlTZs2zVD548aNk8uXL8vJkyfFz89PRESKFSsm69evl4CAABk6dKj88ssvyZ5369Yt2bp1q2zevFkCAwNFRKR48eJSp04du1737t278txzz0m7du1kzZo1xvKSJUtK3bp15datWyIisnPnTnnnnXdk3rx5Mnz4cGO9t956S+7duycjR46UTp06SdGiRTO03SIiw4cPl3feeUdGjRollStXTva49f0QEfH29haLxWKzLKk8efIYj73++uvyzjvvyIYNG+T/tXd/IU29DxzHP4Uro5FiVhL9IV2lKyFKiArcZtoQIi8GlgURVpgVdCG6FDOCMJDEghLKLioqJQlGESkNtjItMFK8CKnEIJCiP1Qqmjb9XYTjN5xf/yTf/eT3fsG52Hmec57nnLvPnj/HbrertLRUdXV1cjqdunTpkjwej6qqqtTU1KTw8PBJ9xsAgL/BiD0AACFgtVrl8Xj8vz0ej6xWqywWi//8wMCAnj9/PqlgPzQ0pJqaGu3bt29UYJ03b56OHj2q+vr6oCPwRqNRRqNRLpdLv379mvQz1dfX68uXLyooKAhaPjKlvrq6WkajUTk5OaPq5OXlaXBwUPfu3Zt0+5K0detW7dy5U4WFhVO6Phifz6e7d+/q27dvMhgMkqTw8HDdvHlTV69elcvlUnZ2toqKipSUlDRt7QIAMFEEewAAQsBqtaqxsVG/f/9Wd3e3WlpalJycLIvFIq/XK+nPyHZfX19AsHc6nf4APnKUlpb6yz9//qzv378rISEhaLsJCQkaHh7Wu3fvRpWFhYXp+vXrunHjhiIjI7Vt2zYVFRWpra1tQs/09u1bSVJ8fPw/1nvz5o3i4uI0Z86cUWVLly5VRETEqPX4k3Hu3DnV1dWpoaFhyveQpKysLBmNRs2dO1e7d+9WVFSUDh065C9PSkpSYWGhHA6HFi5cqOLi4r9qDwCAqSLYAwAQAjabTb29vWpublZDQ4PWrFmjxYsXy2KxqLm5Wb29vfJ6vVqxYoViY2P91+Xn56u1tTXgOHLkyITbHR4elvRnLXowDodDXV1dun//vux2u7xerzZu3BiwSd149/5bw8PDY/ZvIsxms/bv3y+n0/lX/aioqFBra6seP36sDRs2qKKiQiaTKaBOcXGxhoaGdPLkSYWFscIRABAaBHsAAELAZDJp2bJl8ng88ng8/jXtMTExWrVqlRobG+XxeJSSkhJwXXR0tEwmU8ARFRXlL1+0aJEiIyP1+vXroO22t7dr1qxZiouLG7Nv4eHhSktLU0lJiZqamnTgwAGdPn163Gca2eCvvb193HodHR0aGBgYVdbV1aWfP39q9erVkqQFCxaop6dHPp8voJ7P51NPT48iIiKCtnHmzBm1tLTI5XKN2++xxMTEyGQyyWazqba2VseOHRv1Xkem5hPqAQChRLAHACBEbDabvF6vvF6vrFar/7zFYlF9fb1evHgx6Y3zZs+erczMTN25c0cfP34MKOvr61NlZaXsdnvAnwHjMZvNAbu/j2XHjh2Kjo5WWVlZ0PKRzfP27Nmjnp4eXblyZVSd8+fPy2AwyOFwSPozrd/n86mlpSWg3qtXr+Tz+bR27dqgbS1fvlzHjx9XUVHRqD8FpsJkMsnhcEzr2n0AAKYLwR4AgBCx2Wx69uyZWltb/SP20p9gX1VVpf7+/kkHe+nP7vIxMTFKS0vTo0eP9OHDBz19+lR2u12Dg4O6fPly0Ou+fv2qlJQU3bp1S21tbers7FRtba3KysqUkZExbrvz58/XtWvX9PDhQ+3atUtut1vv37/Xy5cvVVBQ4F8ysGXLFp04cUL5+fkqLy9XR0eH2tvbVVxcrIsXL6q8vNy/I77ZbFZ6erqys7PldrvV2dkpt9utgwcPKj09XWazecz+FBYWqqurS263e9LvMJi8vDw9ePAg4DOFAAD8LyDYAwAQIjabTX19fTKZTFqyZIn/vMViUXd3t+Li4qb0ybfo6Gj/aH9OTo5iY2OVmZmp2NhYNTc3B6zZ/29Go1GbN29WRUWFkpOTtX79ep06dUqHDx+e8LflMzIy1NTUJIPBoL179yo+Pl5ZWVn68eOHzp4966934cIFVVZWqqamRomJidq0aZOePHkil8sV8Ak8SaqpqVFqaqpyc3NlNpuVm5ur7du3q7q6+h/7EhUVJafTqf7+/gn1fTyJiYlKTU1VSUnJtNwPAIDpMmt4una6AQAAAAAA/zpG7AEAAAAAmMEI9gAAYEJu374to9EY9Fi3bl2ouwcAwP8tpuIDAIAJ6e7u1qdPn4KWGQwGrVy58l/uEQAAkAj2AAAAAADMaEzFBwAAAABgBiPYAwAAAAAwgxHsAQAAAACYwQj2AAAAAADMYAR7AAAAAABmMII9AAAAAAAzGMEeAAAAAIAZjGAPAAAAAMAM9h8gl5wZN5pHEgAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "\n",
+    "\n",
+    "\n",
+    "value_counts = websites['WHOIS_COUNTRY'].value_counts()\n",
+    "\n",
+    "# Plotting the bar chart\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "value_counts.plot(kind='bar')\n",
+    "plt.xlabel('WHOIS_COUNTRY')\n",
+    "plt.ylabel('Count')\n",
+    "plt.title('Value Counts of WHOIS_COUNTRY')\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.show()"
    ]
   },
   {
@@ -294,13 +2037,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 26,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "WHOIS_COUNTRY\n",
+       "US        1106\n",
+       "Others     306\n",
+       "OTHER      110\n",
+       "CA          84\n",
+       "ES          63\n",
+       "AU          35\n",
+       "GB          25\n",
+       "PA          21\n",
+       "JP          11\n",
+       "UK          10\n",
+       "IN          10\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "top_10_values = value_counts.nlargest(10).index\n",
+    "\n",
+    "websites['WHOIS_COUNTRY'] = websites['WHOIS_COUNTRY'].apply(lambda x: x if x in top_10_values else 'OTHER')\n",
+    "\n",
+    "websites['WHOIS_COUNTRY'].value_counts()\n",
+    "\n"
    ]
   },
   {
@@ -316,11 +2088,182 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>URL</th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CHARSET</th>\n",
+       "      <th>SERVER</th>\n",
+       "      <th>WHOIS_COUNTRY</th>\n",
+       "      <th>WHOIS_STATEPRO</th>\n",
+       "      <th>WHOIS_REGDATE</th>\n",
+       "      <th>WHOIS_UPDATED_DATE</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>APP_BYTES</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>M0_109</td>\n",
+       "      <td>7</td>\n",
+       "      <td>iso-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>10/10/2015 18:21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>700</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>B0_2314</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache/2.4.10</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>B0_911</td>\n",
+       "      <td>6</td>\n",
+       "      <td>us-ascii</td>\n",
+       "      <td>Microsoft-HTTPAPI/2.0</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>B0_113</td>\n",
+       "      <td>6</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>US</td>\n",
+       "      <td>AK</td>\n",
+       "      <td>7/10/1997 4:00</td>\n",
+       "      <td>12/09/2013 0:45</td>\n",
+       "      <td>22</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3812</td>\n",
+       "      <td>39</td>\n",
+       "      <td>18784</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>B0_403</td>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>US</td>\n",
+       "      <td>TX</td>\n",
+       "      <td>12/05/1996 0:00</td>\n",
+       "      <td>11/04/2017 0:00</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4278</td>\n",
+       "      <td>61</td>\n",
+       "      <td>129889</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       URL  NUMBER_SPECIAL_CHARACTERS     CHARSET                 SERVER  \\\n",
+       "0   M0_109                          7  iso-8859-1                  nginx   \n",
+       "1  B0_2314                          6       UTF-8          Apache/2.4.10   \n",
+       "2   B0_911                          6    us-ascii  Microsoft-HTTPAPI/2.0   \n",
+       "3   B0_113                          6  ISO-8859-1                  nginx   \n",
+       "4   B0_403                          6       UTF-8                 Others   \n",
+       "\n",
+       "  WHOIS_COUNTRY WHOIS_STATEPRO     WHOIS_REGDATE WHOIS_UPDATED_DATE  \\\n",
+       "0        Others         Others  10/10/2015 18:21                NaN   \n",
+       "1        Others         Others               NaN                NaN   \n",
+       "2        Others         Others               NaN                NaN   \n",
+       "3            US             AK    7/10/1997 4:00    12/09/2013 0:45   \n",
+       "4            US             TX   12/05/1996 0:00    11/04/2017 0:00   \n",
+       "\n",
+       "   DIST_REMOTE_TCP_PORT  REMOTE_IPS  APP_BYTES  SOURCE_APP_PACKETS  \\\n",
+       "0                     0           2        700                   9   \n",
+       "1                     7           4       1230                  17   \n",
+       "2                     0           0          0                   0   \n",
+       "3                    22           3       3812                  39   \n",
+       "4                     2           5       4278                  61   \n",
+       "\n",
+       "   SOURCE_APP_BYTES  DNS_QUERY_TIMES  Type  \n",
+       "0              1153              2.0     1  \n",
+       "1              1265              0.0     0  \n",
+       "2                 0              0.0     0  \n",
+       "3             18784              8.0     0  \n",
+       "4            129889              4.0     0  "
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites.drop(columns=['WHOIS_STATEPRO', 'WHOIS_REGDATE', 'WHOIS_UPDATED_DATE'])\n",
+    "\n",
+    "websites.head()"
    ]
   },
   {
@@ -334,11 +2277,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 28,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "URL                           object\n",
+       "NUMBER_SPECIAL_CHARACTERS      int64\n",
+       "CHARSET                       object\n",
+       "SERVER                        object\n",
+       "WHOIS_COUNTRY                 object\n",
+       "WHOIS_STATEPRO                object\n",
+       "WHOIS_REGDATE                 object\n",
+       "WHOIS_UPDATED_DATE            object\n",
+       "DIST_REMOTE_TCP_PORT           int64\n",
+       "REMOTE_IPS                     int64\n",
+       "APP_BYTES                      int64\n",
+       "SOURCE_APP_PACKETS             int64\n",
+       "SOURCE_APP_BYTES               int64\n",
+       "DNS_QUERY_TIMES              float64\n",
+       "Type                           int64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites.dtypes"
    ]
   },
   {
@@ -350,11 +2320,303 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 29,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>CHARSET</th>\n",
+       "      <th>SERVER</th>\n",
+       "      <th>WHOIS_COUNTRY</th>\n",
+       "      <th>WHOIS_STATEPRO</th>\n",
+       "      <th>WHOIS_REGDATE</th>\n",
+       "      <th>WHOIS_UPDATED_DATE</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>APP_BYTES</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>7</td>\n",
+       "      <td>iso-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>10/10/2015 18:21</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>700</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache/2.4.10</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>6</td>\n",
+       "      <td>us-ascii</td>\n",
+       "      <td>Microsoft-HTTPAPI/2.0</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>6</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>nginx</td>\n",
+       "      <td>US</td>\n",
+       "      <td>AK</td>\n",
+       "      <td>7/10/1997 4:00</td>\n",
+       "      <td>12/09/2013 0:45</td>\n",
+       "      <td>22</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3812</td>\n",
+       "      <td>39</td>\n",
+       "      <td>18784</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Others</td>\n",
+       "      <td>US</td>\n",
+       "      <td>TX</td>\n",
+       "      <td>12/05/1996 0:00</td>\n",
+       "      <td>11/04/2017 0:00</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4278</td>\n",
+       "      <td>61</td>\n",
+       "      <td>129889</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1776</th>\n",
+       "      <td>16</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>Barcelona</td>\n",
+       "      <td>17/09/2008 0:00</td>\n",
+       "      <td>2/09/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>186</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1777</th>\n",
+       "      <td>17</td>\n",
+       "      <td>UTF-8</td>\n",
+       "      <td>Apache</td>\n",
+       "      <td>ES</td>\n",
+       "      <td>Barcelona</td>\n",
+       "      <td>17/09/2008 0:00</td>\n",
+       "      <td>2/09/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>124</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1778</th>\n",
+       "      <td>34</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>Apache/2.2.16 (Debian)</td>\n",
+       "      <td>US</td>\n",
+       "      <td>FL</td>\n",
+       "      <td>15/02/1999 0:00</td>\n",
+       "      <td>15/07/2015 0:00</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6631</td>\n",
+       "      <td>87</td>\n",
+       "      <td>132181</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1779</th>\n",
+       "      <td>34</td>\n",
+       "      <td>ISO-8859-1</td>\n",
+       "      <td>cloudflare-nginx</td>\n",
+       "      <td>US</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>1/04/1998 0:00</td>\n",
+       "      <td>9/12/2016 0:00</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1780</th>\n",
+       "      <td>40</td>\n",
+       "      <td>utf-8</td>\n",
+       "      <td>Microsoft-IIS/8.5</td>\n",
+       "      <td>US</td>\n",
+       "      <td>Wisconsin</td>\n",
+       "      <td>14/11/2008 0:00</td>\n",
+       "      <td>20/11/2013 0:00</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2314</td>\n",
+       "      <td>25</td>\n",
+       "      <td>3039</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1781 rows × 14 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      NUMBER_SPECIAL_CHARACTERS     CHARSET                  SERVER  \\\n",
+       "0                             7  iso-8859-1                   nginx   \n",
+       "1                             6       UTF-8           Apache/2.4.10   \n",
+       "2                             6    us-ascii   Microsoft-HTTPAPI/2.0   \n",
+       "3                             6  ISO-8859-1                   nginx   \n",
+       "4                             6       UTF-8                  Others   \n",
+       "...                         ...         ...                     ...   \n",
+       "1776                         16       UTF-8                  Apache   \n",
+       "1777                         17       UTF-8                  Apache   \n",
+       "1778                         34       utf-8  Apache/2.2.16 (Debian)   \n",
+       "1779                         34  ISO-8859-1        cloudflare-nginx   \n",
+       "1780                         40       utf-8       Microsoft-IIS/8.5   \n",
+       "\n",
+       "     WHOIS_COUNTRY WHOIS_STATEPRO     WHOIS_REGDATE WHOIS_UPDATED_DATE  \\\n",
+       "0           Others         Others  10/10/2015 18:21                NaN   \n",
+       "1           Others         Others               NaN                NaN   \n",
+       "2           Others         Others               NaN                NaN   \n",
+       "3               US             AK    7/10/1997 4:00    12/09/2013 0:45   \n",
+       "4               US             TX   12/05/1996 0:00    11/04/2017 0:00   \n",
+       "...            ...            ...               ...                ...   \n",
+       "1776            ES      Barcelona   17/09/2008 0:00     2/09/2016 0:00   \n",
+       "1777            ES      Barcelona   17/09/2008 0:00     2/09/2016 0:00   \n",
+       "1778            US             FL   15/02/1999 0:00    15/07/2015 0:00   \n",
+       "1779            US             CA    1/04/1998 0:00     9/12/2016 0:00   \n",
+       "1780            US      Wisconsin   14/11/2008 0:00    20/11/2013 0:00   \n",
+       "\n",
+       "      DIST_REMOTE_TCP_PORT  REMOTE_IPS  APP_BYTES  SOURCE_APP_PACKETS  \\\n",
+       "0                        0           2        700                   9   \n",
+       "1                        7           4       1230                  17   \n",
+       "2                        0           0          0                   0   \n",
+       "3                       22           3       3812                  39   \n",
+       "4                        2           5       4278                  61   \n",
+       "...                    ...         ...        ...                 ...   \n",
+       "1776                     0           0          0                   0   \n",
+       "1777                     0           0          0                   0   \n",
+       "1778                     2           6       6631                  87   \n",
+       "1779                     0           0          0                   0   \n",
+       "1780                     6          11       2314                  25   \n",
+       "\n",
+       "      SOURCE_APP_BYTES  DNS_QUERY_TIMES  Type  \n",
+       "0                 1153              2.0     1  \n",
+       "1                 1265              0.0     0  \n",
+       "2                    0              0.0     0  \n",
+       "3                18784              8.0     0  \n",
+       "4               129889              4.0     0  \n",
+       "...                ...              ...   ...  \n",
+       "1776               186              0.0     1  \n",
+       "1777               124              0.0     1  \n",
+       "1778            132181              4.0     0  \n",
+       "1779                 0              0.0     0  \n",
+       "1780              3039              6.0     0  \n",
+       "\n",
+       "[1781 rows x 14 columns]"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites.drop(columns=['URL'])"
    ]
   },
   {
@@ -366,11 +2628,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 30,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here"
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "CHARSET\n",
+       "UTF-8           676\n",
+       "ISO-8859-1      427\n",
+       "utf-8           379\n",
+       "us-ascii        155\n",
+       "iso-8859-1      134\n",
+       "Others            7\n",
+       "windows-1251      1\n",
+       "ISO-8859          1\n",
+       "windows-1252      1\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites['CHARSET'].value_counts()"
    ]
   },
   {
@@ -384,11 +2668,152 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 31,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['nginx', 'Apache/2.4.10', 'Microsoft-HTTPAPI/2.0', 'Others',\n",
+       "       'Apache/2', 'nginx/1.10.1', 'Apache', 'Apache/2.2.15 (Red Hat)',\n",
+       "       'Apache/2.4.23 (Unix) OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'openresty/1.11.2.1', 'Apache/2.2.22', 'Apache/2.4.7 (Ubuntu)',\n",
+       "       'nginx/1.12.0',\n",
+       "       'Apache/2.4.12 (Unix) OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'Oracle-iPlanet-Web-Server/7.0', 'cloudflare-nginx', 'nginx/1.6.2',\n",
+       "       'openresty', 'Heptu web server', 'Pepyaka/1.11.3', 'nginx/1.8.0',\n",
+       "       'nginx/1.10.1 + Phusion Passenger 5.0.30',\n",
+       "       'Apache/2.2.29 (Amazon)', 'Microsoft-IIS/7.5', 'LiteSpeed',\n",
+       "       'Apache/2.4.25 (cPanel) OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'tsa_c', 'Apache/2.2.0 (Fedora)', 'Apache/2.2.22 (Debian)',\n",
+       "       'Apache/2.2.15 (CentOS)', 'Apache/2.4.25',\n",
+       "       'Apache/2.4.25 (Amazon) PHP/7.0.14', 'GSE',\n",
+       "       'Apache/2.4.23 (Unix) OpenSSL/0.9.8e-fips-rhel5 mod_bwlimited/1.4',\n",
+       "       'Apache/2.4.25 (Amazon) OpenSSL/1.0.1k-fips',\n",
+       "       'Apache/2.2.22 (Ubuntu)', 'Tengine',\n",
+       "       'Apache/2.4.18 (Unix) OpenSSL/0.9.8e-fips-rhel5 mod_bwlimited/1.4',\n",
+       "       'Apache/2.4.10 (Debian)', 'Apache/2.4.6 (CentOS) PHP/5.6.8',\n",
+       "       'Sun-ONE-Web-Server/6.1',\n",
+       "       'Apache/2.4.18 (Unix) OpenSSL/1.0.2e Communique/4.1.10',\n",
+       "       'AmazonS3',\n",
+       "       'Apache/1.3.37 (Unix) mod_perl/1.29 mod_ssl/2.8.28 OpenSSL/0.9.7e-p1',\n",
+       "       'ATS', 'Apache/2.2.27 (CentOS)',\n",
+       "       'Apache/2.2.29 (Unix) mod_ssl/2.2.29 OpenSSL/1.0.1e-fips DAV/2 mod_bwlimited/1.4',\n",
+       "       'CherryPy/3.6.0', 'Server', 'KHL',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips mod_fcgid/2.3.9 PHP/5.4.16 mod_jk/1.2.40',\n",
+       "       'Apache/2.2.3 (CentOS)', 'Apache/2.4',\n",
+       "       'Apache/1.3.27 (Unix)  (Red-Hat/Linux) mod_perl/1.26 PHP/4.3.3 FrontPage/5.0.2 mod_ssl/2.8.12 OpenSSL/0.9.6b',\n",
+       "       'mw2114.codfw.wmnet',\n",
+       "       'Apache/2.2.31 (Unix) mod_ssl/2.2.31 OpenSSL/1.0.1e-fips mod_bwlimited/1.4 mod_perl/2.0.8 Perl/v5.10.1',\n",
+       "       'Apache/1.3.34 (Unix) PHP/4.4.4', 'Apache/2.2.31 (Amazon)',\n",
+       "       'Jetty(9.0.z-SNAPSHOT)', 'Apache/2.2.31 (CentOS)',\n",
+       "       'Apache/2.4.12 (Ubuntu)', 'HTTPDaemon',\n",
+       "       'Apache/2.2.29 (Unix) mod_ssl/2.2.29 OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'MediaFire', 'DOSarrest', 'mw2232.codfw.wmnet',\n",
+       "       'Sucuri/Cloudproxy', 'Apache/2.4.23 (Unix)', 'nginx/0.7.65',\n",
+       "       'mw2260.codfw.wmnet', 'Apache/2.2.32', 'mw2239.codfw.wmnet',\n",
+       "       'DPS/1.1.8', 'Apache/2.0.52 (Red Hat)',\n",
+       "       'Apache/2.2.25 (Unix) mod_ssl/2.2.25 OpenSSL/0.9.8e-fips-rhel5 mod_bwlimited/1.4',\n",
+       "       'Apache/1.3.31 (Unix) PHP/4.3.9 mod_perl/1.29 rus/PL30.20',\n",
+       "       'Apache/2.2.13 (Unix) mod_ssl/2.2.13 OpenSSL/0.9.8e-fips-rhel5 mod_auth_passthrough/2.1 mod_bwlimited/1.4 PHP/5.2.10',\n",
+       "       'nginx/1.1.19', 'ATS/5.3.0', 'Apache/2.2.3 (Red Hat)',\n",
+       "       'nginx/1.4.3',\n",
+       "       'Apache/2.2.29 (Unix) mod_ssl/2.2.29 OpenSSL/1.0.1e-fips mod_bwlimited/1.4 PHP/5.4.35',\n",
+       "       'Apache/2.2.14 (FreeBSD) mod_ssl/2.2.14 OpenSSL/0.9.8y DAV/2 PHP/5.2.12 with Suhosin-Patch',\n",
+       "       'Apache/2.2.14 (Unix) mod_ssl/2.2.14 OpenSSL/0.9.8e-fips-rhel5',\n",
+       "       'Apache/1.3.39 (Unix) PHP/5.2.5 mod_auth_passthrough/1.8 mod_bwlimited/1.4 mod_log_bytes/1.2 mod_gzip/1.3.26.1a FrontPage/5.0.2.2635 DAV/1.0.3 mod_ssl/2.8.30 OpenSSL/0.9.7a',\n",
+       "       'SSWS', 'Microsoft-IIS/8.0', 'Apache/2.4.18 (Ubuntu)',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips PHP/5.4.16 mod_apreq2-20090110/2.8.0 mod_perl/2.0.10 Perl/v5.24.1',\n",
+       "       'Apache/2.2.20 (Unix)', 'YouTubeFrontEnd', 'nginx/1.11.3',\n",
+       "       'nginx/1.11.2', 'nginx/1.10.0 (Ubuntu)', 'nginx/1.8.1',\n",
+       "       'nginx/1.11.10', 'Squeegit/1.2.5 (3_sir)',\n",
+       "       'Virtuoso/07.20.3217 (Linux) i686-generic-linux-glibc212-64  VDB',\n",
+       "       'Apache-Coyote/1.1', 'Yippee-Ki-Yay', 'mw2165.codfw.wmnet',\n",
+       "       'mw2192.codfw.wmnet', 'Apache/2.2.23 (Amazon)',\n",
+       "       'nginx/1.4.6 (Ubuntu)', 'nginx + Phusion Passenger',\n",
+       "       'Proxy Pandeiro UOL', 'mw2231.codfw.wmnet', 'openresty/1.11.2.2',\n",
+       "       'mw2109.codfw.wmnet', 'nginx/0.8.54', 'Apache/2.4.6',\n",
+       "       'mw2225.codfw.wmnet', 'Apache/1.3.27 (Unix) PHP/4.4.1',\n",
+       "       'mw2236.codfw.wmnet', 'mw2101.codfw.wmnet', 'Varnish',\n",
+       "       'Resin/3.1.8', 'mw2164.codfw.wmnet', 'Microsoft-IIS/8.5',\n",
+       "       'mw2242.codfw.wmnet',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips PHP/5.5.38',\n",
+       "       'mw2175.codfw.wmnet', 'mw2107.codfw.wmnet', 'mw2190.codfw.wmnet',\n",
+       "       'Apache/2.4.6 (CentOS)', 'nginx/1.13.0', 'barista/5.1.3',\n",
+       "       'mw2103.codfw.wmnet', 'Apache/2.4.25 (Debian)', 'ECD (fll/0790)',\n",
+       "       'Pagely Gateway/1.5.1', 'nginx/1.10.3',\n",
+       "       'Apache/2.4.25 (FreeBSD) OpenSSL/1.0.1s-freebsd PHP/5.6.30',\n",
+       "       'mw2097.codfw.wmnet', 'mw2233.codfw.wmnet', 'fbs',\n",
+       "       'mw2199.codfw.wmnet', 'mw2255.codfw.wmnet', 'mw2228.codfw.wmnet',\n",
+       "       'Apache/2.2.31 (Unix) mod_ssl/2.2.31 OpenSSL/1.0.1e-fips mod_bwlimited/1.4 mod_fcgid/2.3.9',\n",
+       "       'gunicorn/19.7.1',\n",
+       "       'Apache/2.2.31 (Unix) mod_ssl/2.2.31 OpenSSL/0.9.8e-fips-rhel5 mod_bwlimited/1.4',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips PHP/5.4.16',\n",
+       "       'mw2241.codfw.wmnet',\n",
+       "       'Apache/1.3.33 (Unix) mod_ssl/2.8.24 OpenSSL/0.9.7e-p1 PHP/4.4.8',\n",
+       "       'lighttpd', 'mw2230.codfw.wmnet',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips', 'AkamaiGHost',\n",
+       "       'mw2240.codfw.wmnet', 'nginx/1.10.2', 'PWS/8.2.0.7', 'nginx/1.2.1',\n",
+       "       'nxfps',\n",
+       "       'Apache/2.2.16 (Unix) mod_ssl/2.2.16 OpenSSL/0.9.8e-fips-rhel5 mod_auth_passthrough/2.1 mod_bwlimited/1.4',\n",
+       "       'Play', 'mw2185.codfw.wmnet',\n",
+       "       'Apache/2.4.10 (Unix) OpenSSL/1.0.1k',\n",
+       "       'Apache/Not telling (Unix) AuthTDS/1.1',\n",
+       "       'Apache/2.2.11 (Unix) PHP/5.2.6', 'Scratch Web Server',\n",
+       "       'marrakesh 1.12.2', 'nginx/0.8.35', 'mw2182.codfw.wmnet',\n",
+       "       'squid/3.3.8', 'nginx/1.10.0', 'Nginx (OpenBSD)',\n",
+       "       'Zope/(2.13.16; python 2.6.8; linux2) ZServer/1.1',\n",
+       "       'Apache/2.2.26 (Unix) mod_ssl/2.2.26 OpenSSL/0.9.8e-fips-rhel5 mod_bwlimited/1.4 PHP/5.4.26',\n",
+       "       'Apache/2.2.21 (Unix) mod_ssl/2.2.21 OpenSSL/0.9.8e-fips-rhel5 PHP/5.3.10',\n",
+       "       'Apache/2.2.27 (Unix) OpenAM Web Agent/4.0.1-1 mod_ssl/2.2.27 OpenSSL/1.0.1p PHP/5.3.28',\n",
+       "       'mw2104.codfw.wmnet', '.V01 Apache', 'mw2110.codfw.wmnet',\n",
+       "       'Apache/2.4.6 (Unix) mod_jk/1.2.37 PHP/5.5.1 OpenSSL/1.0.1g mod_fcgid/2.3.9',\n",
+       "       'mw2176.codfw.wmnet', 'mw2187.codfw.wmnet', 'mw2106.codfw.wmnet',\n",
+       "       'Microsoft-IIS/7.0',\n",
+       "       'Apache/1.3.42 Ben-SSL/1.60 (Unix) mod_gzip/1.3.26.1a mod_fastcgi/2.4.6 mod_throttle/3.1.2 Chili!Soft-ASP/3.6.2 FrontPage/5.0.2.2635 mod_perl/1.31 PHP/4.4.9',\n",
+       "       'Aeria Games & Entertainment', 'nginx/1.6.3 + Phusion Passenger',\n",
+       "       'Apache/2.4.10 (Debian) PHP/5.6.30-0+deb8u1 mod_perl/2.0.9dev Perl/v5.20.2',\n",
+       "       'mw2173.codfw.wmnet',\n",
+       "       'Apache/2.4.6 (Red Hat Enterprise Linux) OpenSSL/1.0.1e-fips mod_fcgid/2.3.9 Communique/4.2.0',\n",
+       "       'Apache/2.2.15 (CentOS) DAV/2 mod_ssl/2.2.15 OpenSSL/1.0.1e-fips PHP/5.3.3',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips PHP/7.0.14',\n",
+       "       'mw2198.codfw.wmnet', 'mw2172.codfw.wmnet', 'nginx/1.2.6',\n",
+       "       'Apache/2.4.6 (Unix) mod_jk/1.2.37',\n",
+       "       'Apache/2.4.25 (Unix) OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'nginx/1.4.4', 'Cowboy', 'mw2113.codfw.wmnet',\n",
+       "       'Apache/2.2.14 (Unix) mod_ssl/2.2.14 OpenSSL/0.9.8a',\n",
+       "       'Apache/2.4.10 (Ubuntu)', 'mw2224.codfw.wmnet',\n",
+       "       'mw2171.codfw.wmnet', 'mw2257.codfw.wmnet', 'mw2226.codfw.wmnet',\n",
+       "       'DMS/1.0.42', 'nginx/1.6.3', 'Application-Server',\n",
+       "       'Apache/2.4.6 (CentOS) mod_fcgid/2.3.9 PHP/5.6.30',\n",
+       "       'mw2177.codfw.wmnet', 'lighttpd/1.4.28', 'mw2197.codfw.wmnet',\n",
+       "       'Apache/2.2.31 (FreeBSD) PHP/5.4.15 mod_ssl/2.2.31 OpenSSL/1.0.2d DAV/2',\n",
+       "       'Apache/2.2.26 (Unix) mod_ssl/2.2.26 OpenSSL/1.0.1e-fips DAV/2 mod_bwlimited/1.4',\n",
+       "       'Apache/2.2.24 (Unix) DAV/2 PHP/5.3.26 mod_ssl/2.2.24 OpenSSL/0.9.8y',\n",
+       "       'mw2178.codfw.wmnet', '294', 'Microsoft-IIS/6.0', 'nginx/1.7.4',\n",
+       "       'Apache/2.2.22 (Debian) mod_python/3.3.1 Python/2.7.3 mod_ssl/2.2.22 OpenSSL/1.0.1t',\n",
+       "       'Apache/2.4.16 (Ubuntu)', 'www.lexisnexis.com  9999',\n",
+       "       'nginx/0.8.38', 'mw2238.codfw.wmnet', 'Pizza/pepperoni',\n",
+       "       'XXXXXXXXXXXXXXXXXXXXXX', 'MI', 'Roxen/5.4.98-r2',\n",
+       "       'Apache/2.2.31 (Unix) mod_ssl/2.2.31 OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'nginx/1.9.13', 'mw2180.codfw.wmnet', 'Apache/2.2.14 (Ubuntu)',\n",
+       "       'ebay server', 'nginx/0.8.55', 'Apache/2.2.10 (Linux/SUSE)',\n",
+       "       'nginx/1.7.12',\n",
+       "       'Apache/2.0.63 (Unix) mod_ssl/2.0.63 OpenSSL/0.9.8e-fips-rhel5 mod_auth_passthrough/2.1 mod_bwlimited/1.4 PHP/5.3.6',\n",
+       "       'Boston.com Frontend', 'My Arse', 'IdeaWebServer/v0.80',\n",
+       "       'Apache/2.4.17 (Unix) OpenSSL/1.0.1e-fips PHP/5.6.19',\n",
+       "       'Microsoft-IIS/7.5; litigation_essentials.lexisnexis.com  9999',\n",
+       "       'Apache/2.2.16 (Debian)'], dtype=object)"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "websites['SERVER'].unique()"
    ]
   },
   {
@@ -400,11 +2825,153 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 32,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your comment here\n"
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['nginx', 'Apache/2.4.10', 'Microsoft-HTTPAPI/2.0', 'Others',\n",
+       "       'Apache/2', 'nginx/1.10.1', 'Apache', 'Apache/2.2.15 (Red Hat)',\n",
+       "       'Apache/2.4.23 (Unix) OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'openresty/1.11.2.1', 'Apache/2.2.22', 'Apache/2.4.7 (Ubuntu)',\n",
+       "       'nginx/1.12.0',\n",
+       "       'Apache/2.4.12 (Unix) OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'Oracle-iPlanet-Web-Server/7.0', 'cloudflare-nginx', 'nginx/1.6.2',\n",
+       "       'openresty', 'Heptu web server', 'Pepyaka/1.11.3', 'nginx/1.8.0',\n",
+       "       'nginx/1.10.1 + Phusion Passenger 5.0.30',\n",
+       "       'Apache/2.2.29 (Amazon)', 'Microsoft-IIS/7.5', 'LiteSpeed',\n",
+       "       'Apache/2.4.25 (cPanel) OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'tsa_c', 'Apache/2.2.0 (Fedora)', 'Apache/2.2.22 (Debian)',\n",
+       "       'Apache/2.2.15 (CentOS)', 'Apache/2.4.25',\n",
+       "       'Apache/2.4.25 (Amazon) PHP/7.0.14', 'GSE',\n",
+       "       'Apache/2.4.23 (Unix) OpenSSL/0.9.8e-fips-rhel5 mod_bwlimited/1.4',\n",
+       "       'Apache/2.4.25 (Amazon) OpenSSL/1.0.1k-fips',\n",
+       "       'Apache/2.2.22 (Ubuntu)', 'Tengine',\n",
+       "       'Apache/2.4.18 (Unix) OpenSSL/0.9.8e-fips-rhel5 mod_bwlimited/1.4',\n",
+       "       'Apache/2.4.10 (Debian)', 'Apache/2.4.6 (CentOS) PHP/5.6.8',\n",
+       "       'Sun-ONE-Web-Server/6.1',\n",
+       "       'Apache/2.4.18 (Unix) OpenSSL/1.0.2e Communique/4.1.10',\n",
+       "       'AmazonS3',\n",
+       "       'Apache/1.3.37 (Unix) mod_perl/1.29 mod_ssl/2.8.28 OpenSSL/0.9.7e-p1',\n",
+       "       'ATS', 'Apache/2.2.27 (CentOS)',\n",
+       "       'Apache/2.2.29 (Unix) mod_ssl/2.2.29 OpenSSL/1.0.1e-fips DAV/2 mod_bwlimited/1.4',\n",
+       "       'CherryPy/3.6.0', 'Server', 'KHL',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips mod_fcgid/2.3.9 PHP/5.4.16 mod_jk/1.2.40',\n",
+       "       'Apache/2.2.3 (CentOS)', 'Apache/2.4',\n",
+       "       'Apache/1.3.27 (Unix)  (Red-Hat/Linux) mod_perl/1.26 PHP/4.3.3 FrontPage/5.0.2 mod_ssl/2.8.12 OpenSSL/0.9.6b',\n",
+       "       'mw2114.codfw.wmnet',\n",
+       "       'Apache/2.2.31 (Unix) mod_ssl/2.2.31 OpenSSL/1.0.1e-fips mod_bwlimited/1.4 mod_perl/2.0.8 Perl/v5.10.1',\n",
+       "       'Apache/1.3.34 (Unix) PHP/4.4.4', 'Apache/2.2.31 (Amazon)',\n",
+       "       'Jetty(9.0.z-SNAPSHOT)', 'Apache/2.2.31 (CentOS)',\n",
+       "       'Apache/2.4.12 (Ubuntu)', 'HTTPDaemon',\n",
+       "       'Apache/2.2.29 (Unix) mod_ssl/2.2.29 OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'MediaFire', 'DOSarrest', 'mw2232.codfw.wmnet',\n",
+       "       'Sucuri/Cloudproxy', 'Apache/2.4.23 (Unix)', 'nginx/0.7.65',\n",
+       "       'mw2260.codfw.wmnet', 'Apache/2.2.32', 'mw2239.codfw.wmnet',\n",
+       "       'DPS/1.1.8', 'Apache/2.0.52 (Red Hat)',\n",
+       "       'Apache/2.2.25 (Unix) mod_ssl/2.2.25 OpenSSL/0.9.8e-fips-rhel5 mod_bwlimited/1.4',\n",
+       "       'Apache/1.3.31 (Unix) PHP/4.3.9 mod_perl/1.29 rus/PL30.20',\n",
+       "       'Apache/2.2.13 (Unix) mod_ssl/2.2.13 OpenSSL/0.9.8e-fips-rhel5 mod_auth_passthrough/2.1 mod_bwlimited/1.4 PHP/5.2.10',\n",
+       "       'nginx/1.1.19', 'ATS/5.3.0', 'Apache/2.2.3 (Red Hat)',\n",
+       "       'nginx/1.4.3',\n",
+       "       'Apache/2.2.29 (Unix) mod_ssl/2.2.29 OpenSSL/1.0.1e-fips mod_bwlimited/1.4 PHP/5.4.35',\n",
+       "       'Apache/2.2.14 (FreeBSD) mod_ssl/2.2.14 OpenSSL/0.9.8y DAV/2 PHP/5.2.12 with Suhosin-Patch',\n",
+       "       'Apache/2.2.14 (Unix) mod_ssl/2.2.14 OpenSSL/0.9.8e-fips-rhel5',\n",
+       "       'Apache/1.3.39 (Unix) PHP/5.2.5 mod_auth_passthrough/1.8 mod_bwlimited/1.4 mod_log_bytes/1.2 mod_gzip/1.3.26.1a FrontPage/5.0.2.2635 DAV/1.0.3 mod_ssl/2.8.30 OpenSSL/0.9.7a',\n",
+       "       'SSWS', 'Microsoft-IIS/8.0', 'Apache/2.4.18 (Ubuntu)',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips PHP/5.4.16 mod_apreq2-20090110/2.8.0 mod_perl/2.0.10 Perl/v5.24.1',\n",
+       "       'Apache/2.2.20 (Unix)', 'YouTubeFrontEnd', 'nginx/1.11.3',\n",
+       "       'nginx/1.11.2', 'nginx/1.10.0 (Ubuntu)', 'nginx/1.8.1',\n",
+       "       'nginx/1.11.10', 'Squeegit/1.2.5 (3_sir)',\n",
+       "       'Virtuoso/07.20.3217 (Linux) i686-generic-linux-glibc212-64  VDB',\n",
+       "       'Apache-Coyote/1.1', 'Yippee-Ki-Yay', 'mw2165.codfw.wmnet',\n",
+       "       'mw2192.codfw.wmnet', 'Apache/2.2.23 (Amazon)',\n",
+       "       'nginx/1.4.6 (Ubuntu)', 'nginx + Phusion Passenger',\n",
+       "       'Proxy Pandeiro UOL', 'mw2231.codfw.wmnet', 'openresty/1.11.2.2',\n",
+       "       'mw2109.codfw.wmnet', 'nginx/0.8.54', 'Apache/2.4.6',\n",
+       "       'mw2225.codfw.wmnet', 'Apache/1.3.27 (Unix) PHP/4.4.1',\n",
+       "       'mw2236.codfw.wmnet', 'mw2101.codfw.wmnet', 'Varnish',\n",
+       "       'Resin/3.1.8', 'mw2164.codfw.wmnet', 'Microsoft-IIS/8.5',\n",
+       "       'mw2242.codfw.wmnet',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips PHP/5.5.38',\n",
+       "       'mw2175.codfw.wmnet', 'mw2107.codfw.wmnet', 'mw2190.codfw.wmnet',\n",
+       "       'Apache/2.4.6 (CentOS)', 'nginx/1.13.0', 'barista/5.1.3',\n",
+       "       'mw2103.codfw.wmnet', 'Apache/2.4.25 (Debian)', 'ECD (fll/0790)',\n",
+       "       'Pagely Gateway/1.5.1', 'nginx/1.10.3',\n",
+       "       'Apache/2.4.25 (FreeBSD) OpenSSL/1.0.1s-freebsd PHP/5.6.30',\n",
+       "       'mw2097.codfw.wmnet', 'mw2233.codfw.wmnet', 'fbs',\n",
+       "       'mw2199.codfw.wmnet', 'mw2255.codfw.wmnet', 'mw2228.codfw.wmnet',\n",
+       "       'Apache/2.2.31 (Unix) mod_ssl/2.2.31 OpenSSL/1.0.1e-fips mod_bwlimited/1.4 mod_fcgid/2.3.9',\n",
+       "       'gunicorn/19.7.1',\n",
+       "       'Apache/2.2.31 (Unix) mod_ssl/2.2.31 OpenSSL/0.9.8e-fips-rhel5 mod_bwlimited/1.4',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips PHP/5.4.16',\n",
+       "       'mw2241.codfw.wmnet',\n",
+       "       'Apache/1.3.33 (Unix) mod_ssl/2.8.24 OpenSSL/0.9.7e-p1 PHP/4.4.8',\n",
+       "       'lighttpd', 'mw2230.codfw.wmnet',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips', 'AkamaiGHost',\n",
+       "       'mw2240.codfw.wmnet', 'nginx/1.10.2', 'PWS/8.2.0.7', 'nginx/1.2.1',\n",
+       "       'nxfps',\n",
+       "       'Apache/2.2.16 (Unix) mod_ssl/2.2.16 OpenSSL/0.9.8e-fips-rhel5 mod_auth_passthrough/2.1 mod_bwlimited/1.4',\n",
+       "       'Play', 'mw2185.codfw.wmnet',\n",
+       "       'Apache/2.4.10 (Unix) OpenSSL/1.0.1k',\n",
+       "       'Apache/Not telling (Unix) AuthTDS/1.1',\n",
+       "       'Apache/2.2.11 (Unix) PHP/5.2.6', 'Scratch Web Server',\n",
+       "       'marrakesh 1.12.2', 'nginx/0.8.35', 'mw2182.codfw.wmnet',\n",
+       "       'squid/3.3.8', 'nginx/1.10.0', 'Nginx (OpenBSD)',\n",
+       "       'Zope/(2.13.16; python 2.6.8; linux2) ZServer/1.1',\n",
+       "       'Apache/2.2.26 (Unix) mod_ssl/2.2.26 OpenSSL/0.9.8e-fips-rhel5 mod_bwlimited/1.4 PHP/5.4.26',\n",
+       "       'Apache/2.2.21 (Unix) mod_ssl/2.2.21 OpenSSL/0.9.8e-fips-rhel5 PHP/5.3.10',\n",
+       "       'Apache/2.2.27 (Unix) OpenAM Web Agent/4.0.1-1 mod_ssl/2.2.27 OpenSSL/1.0.1p PHP/5.3.28',\n",
+       "       'mw2104.codfw.wmnet', '.V01 Apache', 'mw2110.codfw.wmnet',\n",
+       "       'Apache/2.4.6 (Unix) mod_jk/1.2.37 PHP/5.5.1 OpenSSL/1.0.1g mod_fcgid/2.3.9',\n",
+       "       'mw2176.codfw.wmnet', 'mw2187.codfw.wmnet', 'mw2106.codfw.wmnet',\n",
+       "       'Microsoft-IIS/7.0',\n",
+       "       'Apache/1.3.42 Ben-SSL/1.60 (Unix) mod_gzip/1.3.26.1a mod_fastcgi/2.4.6 mod_throttle/3.1.2 Chili!Soft-ASP/3.6.2 FrontPage/5.0.2.2635 mod_perl/1.31 PHP/4.4.9',\n",
+       "       'Aeria Games & Entertainment', 'nginx/1.6.3 + Phusion Passenger',\n",
+       "       'Apache/2.4.10 (Debian) PHP/5.6.30-0+deb8u1 mod_perl/2.0.9dev Perl/v5.20.2',\n",
+       "       'mw2173.codfw.wmnet',\n",
+       "       'Apache/2.4.6 (Red Hat Enterprise Linux) OpenSSL/1.0.1e-fips mod_fcgid/2.3.9 Communique/4.2.0',\n",
+       "       'Apache/2.2.15 (CentOS) DAV/2 mod_ssl/2.2.15 OpenSSL/1.0.1e-fips PHP/5.3.3',\n",
+       "       'Apache/2.4.6 (CentOS) OpenSSL/1.0.1e-fips PHP/7.0.14',\n",
+       "       'mw2198.codfw.wmnet', 'mw2172.codfw.wmnet', 'nginx/1.2.6',\n",
+       "       'Apache/2.4.6 (Unix) mod_jk/1.2.37',\n",
+       "       'Apache/2.4.25 (Unix) OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'nginx/1.4.4', 'Cowboy', 'mw2113.codfw.wmnet',\n",
+       "       'Apache/2.2.14 (Unix) mod_ssl/2.2.14 OpenSSL/0.9.8a',\n",
+       "       'Apache/2.4.10 (Ubuntu)', 'mw2224.codfw.wmnet',\n",
+       "       'mw2171.codfw.wmnet', 'mw2257.codfw.wmnet', 'mw2226.codfw.wmnet',\n",
+       "       'DMS/1.0.42', 'nginx/1.6.3', 'Application-Server',\n",
+       "       'Apache/2.4.6 (CentOS) mod_fcgid/2.3.9 PHP/5.6.30',\n",
+       "       'mw2177.codfw.wmnet', 'lighttpd/1.4.28', 'mw2197.codfw.wmnet',\n",
+       "       'Apache/2.2.31 (FreeBSD) PHP/5.4.15 mod_ssl/2.2.31 OpenSSL/1.0.2d DAV/2',\n",
+       "       'Apache/2.2.26 (Unix) mod_ssl/2.2.26 OpenSSL/1.0.1e-fips DAV/2 mod_bwlimited/1.4',\n",
+       "       'Apache/2.2.24 (Unix) DAV/2 PHP/5.3.26 mod_ssl/2.2.24 OpenSSL/0.9.8y',\n",
+       "       'mw2178.codfw.wmnet', '294', 'Microsoft-IIS/6.0', 'nginx/1.7.4',\n",
+       "       'Apache/2.2.22 (Debian) mod_python/3.3.1 Python/2.7.3 mod_ssl/2.2.22 OpenSSL/1.0.1t',\n",
+       "       'Apache/2.4.16 (Ubuntu)', 'www.lexisnexis.com  9999',\n",
+       "       'nginx/0.8.38', 'mw2238.codfw.wmnet', 'Pizza/pepperoni',\n",
+       "       'XXXXXXXXXXXXXXXXXXXXXX', 'MI', 'Roxen/5.4.98-r2',\n",
+       "       'Apache/2.2.31 (Unix) mod_ssl/2.2.31 OpenSSL/1.0.1e-fips mod_bwlimited/1.4',\n",
+       "       'nginx/1.9.13', 'mw2180.codfw.wmnet', 'Apache/2.2.14 (Ubuntu)',\n",
+       "       'ebay server', 'nginx/0.8.55', 'Apache/2.2.10 (Linux/SUSE)',\n",
+       "       'nginx/1.7.12',\n",
+       "       'Apache/2.0.63 (Unix) mod_ssl/2.0.63 OpenSSL/0.9.8e-fips-rhel5 mod_auth_passthrough/2.1 mod_bwlimited/1.4 PHP/5.3.6',\n",
+       "       'Boston.com Frontend', 'My Arse', 'IdeaWebServer/v0.80',\n",
+       "       'Apache/2.4.17 (Unix) OpenSSL/1.0.1e-fips PHP/5.6.19',\n",
+       "       'Microsoft-IIS/7.5; litigation_essentials.lexisnexis.com  9999',\n",
+       "       'Apache/2.2.16 (Debian)'], dtype=object)"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your comment here\n",
+    "websites['SERVER'].apply(lambda x: 'Microsoft' if 'Microsoft' in x else 'Apache' if 'Apache' in x else 'nginx' if 'nginx' in x else 'Other')\n",
+    "websites['SERVER'].unique()"
    ]
   },
   {
@@ -418,22 +2985,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "def classify_server(server_name):\n",
+    "    if 'Microsoft' in server_name:\n",
+    "        return 'Microsoft'\n",
+    "    elif 'Apache' in server_name:\n",
+    "        return 'Apache'\n",
+    "    elif 'nginx' in server_name:\n",
+    "        return 'nginx'\n",
+    "    else:\n",
+    "        return 'Other'\n",
+    "\n",
+    "\n",
+    "websites['SERVER'] = websites['SERVER'].apply(classify_server)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [],
-   "source": [
-    "# Count `SERVER` value counts here\n"
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "SERVER\n",
+       "Apache       643\n",
+       "Other        505\n",
+       "nginx        435\n",
+       "Microsoft    198\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Count `SERVER` value counts here\n",
+    "websites['SERVER'].value_counts()"
    ]
   },
   {
@@ -445,11 +3039,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "website_dummy = pd.get_dummies(websites, drop_first=True)"
    ]
   },
   {
@@ -461,11 +3056,439 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 36,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n"
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>NUMBER_SPECIAL_CHARACTERS</th>\n",
+       "      <th>DIST_REMOTE_TCP_PORT</th>\n",
+       "      <th>REMOTE_IPS</th>\n",
+       "      <th>APP_BYTES</th>\n",
+       "      <th>SOURCE_APP_PACKETS</th>\n",
+       "      <th>SOURCE_APP_BYTES</th>\n",
+       "      <th>DNS_QUERY_TIMES</th>\n",
+       "      <th>Type</th>\n",
+       "      <th>URL_B0_10</th>\n",
+       "      <th>URL_B0_100</th>\n",
+       "      <th>...</th>\n",
+       "      <th>WHOIS_UPDATED_DATE_9/09/2013 0:00</th>\n",
+       "      <th>WHOIS_UPDATED_DATE_9/09/2015 0:00</th>\n",
+       "      <th>WHOIS_UPDATED_DATE_9/09/2015 20:47</th>\n",
+       "      <th>WHOIS_UPDATED_DATE_9/09/2016 0:00</th>\n",
+       "      <th>WHOIS_UPDATED_DATE_9/10/2015 0:00</th>\n",
+       "      <th>WHOIS_UPDATED_DATE_9/11/2015 0:00</th>\n",
+       "      <th>WHOIS_UPDATED_DATE_9/11/2016 0:00</th>\n",
+       "      <th>WHOIS_UPDATED_DATE_9/12/2015 0:00</th>\n",
+       "      <th>WHOIS_UPDATED_DATE_9/12/2015 14:43</th>\n",
+       "      <th>WHOIS_UPDATED_DATE_9/12/2016 0:00</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>7</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>700</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1153</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>6</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1230</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1265</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>6</td>\n",
+       "      <td>22</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3812</td>\n",
+       "      <td>39</td>\n",
+       "      <td>18784</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4278</td>\n",
+       "      <td>61</td>\n",
+       "      <td>129889</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1776</th>\n",
+       "      <td>16</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>186</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1777</th>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>124</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1778</th>\n",
+       "      <td>34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6631</td>\n",
+       "      <td>87</td>\n",
+       "      <td>132181</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1779</th>\n",
+       "      <td>34</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1780</th>\n",
+       "      <td>40</td>\n",
+       "      <td>6</td>\n",
+       "      <td>11</td>\n",
+       "      <td>2314</td>\n",
+       "      <td>25</td>\n",
+       "      <td>3039</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1781 rows × 3471 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      NUMBER_SPECIAL_CHARACTERS  DIST_REMOTE_TCP_PORT  REMOTE_IPS  APP_BYTES  \\\n",
+       "0                             7                     0           2        700   \n",
+       "1                             6                     7           4       1230   \n",
+       "2                             6                     0           0          0   \n",
+       "3                             6                    22           3       3812   \n",
+       "4                             6                     2           5       4278   \n",
+       "...                         ...                   ...         ...        ...   \n",
+       "1776                         16                     0           0          0   \n",
+       "1777                         17                     0           0          0   \n",
+       "1778                         34                     2           6       6631   \n",
+       "1779                         34                     0           0          0   \n",
+       "1780                         40                     6          11       2314   \n",
+       "\n",
+       "      SOURCE_APP_PACKETS  SOURCE_APP_BYTES  DNS_QUERY_TIMES  Type  URL_B0_10  \\\n",
+       "0                      9              1153              2.0     1      False   \n",
+       "1                     17              1265              0.0     0      False   \n",
+       "2                      0                 0              0.0     0      False   \n",
+       "3                     39             18784              8.0     0      False   \n",
+       "4                     61            129889              4.0     0      False   \n",
+       "...                  ...               ...              ...   ...        ...   \n",
+       "1776                   0               186              0.0     1      False   \n",
+       "1777                   0               124              0.0     1      False   \n",
+       "1778                  87            132181              4.0     0      False   \n",
+       "1779                   0                 0              0.0     0      False   \n",
+       "1780                  25              3039              6.0     0      False   \n",
+       "\n",
+       "      URL_B0_100  ...  WHOIS_UPDATED_DATE_9/09/2013 0:00  \\\n",
+       "0          False  ...                              False   \n",
+       "1          False  ...                              False   \n",
+       "2          False  ...                              False   \n",
+       "3          False  ...                              False   \n",
+       "4          False  ...                              False   \n",
+       "...          ...  ...                                ...   \n",
+       "1776       False  ...                              False   \n",
+       "1777       False  ...                              False   \n",
+       "1778       False  ...                              False   \n",
+       "1779       False  ...                              False   \n",
+       "1780       False  ...                              False   \n",
+       "\n",
+       "      WHOIS_UPDATED_DATE_9/09/2015 0:00  WHOIS_UPDATED_DATE_9/09/2015 20:47  \\\n",
+       "0                                 False                               False   \n",
+       "1                                 False                               False   \n",
+       "2                                 False                               False   \n",
+       "3                                 False                               False   \n",
+       "4                                 False                               False   \n",
+       "...                                 ...                                 ...   \n",
+       "1776                              False                               False   \n",
+       "1777                              False                               False   \n",
+       "1778                              False                               False   \n",
+       "1779                              False                               False   \n",
+       "1780                              False                               False   \n",
+       "\n",
+       "      WHOIS_UPDATED_DATE_9/09/2016 0:00  WHOIS_UPDATED_DATE_9/10/2015 0:00  \\\n",
+       "0                                 False                              False   \n",
+       "1                                 False                              False   \n",
+       "2                                 False                              False   \n",
+       "3                                 False                              False   \n",
+       "4                                 False                              False   \n",
+       "...                                 ...                                ...   \n",
+       "1776                              False                              False   \n",
+       "1777                              False                              False   \n",
+       "1778                              False                              False   \n",
+       "1779                              False                              False   \n",
+       "1780                              False                              False   \n",
+       "\n",
+       "      WHOIS_UPDATED_DATE_9/11/2015 0:00  WHOIS_UPDATED_DATE_9/11/2016 0:00  \\\n",
+       "0                                 False                              False   \n",
+       "1                                 False                              False   \n",
+       "2                                 False                              False   \n",
+       "3                                 False                              False   \n",
+       "4                                 False                              False   \n",
+       "...                                 ...                                ...   \n",
+       "1776                              False                              False   \n",
+       "1777                              False                              False   \n",
+       "1778                              False                              False   \n",
+       "1779                              False                              False   \n",
+       "1780                              False                              False   \n",
+       "\n",
+       "      WHOIS_UPDATED_DATE_9/12/2015 0:00  WHOIS_UPDATED_DATE_9/12/2015 14:43  \\\n",
+       "0                                 False                               False   \n",
+       "1                                 False                               False   \n",
+       "2                                 False                               False   \n",
+       "3                                 False                               False   \n",
+       "4                                 False                               False   \n",
+       "...                                 ...                                 ...   \n",
+       "1776                              False                               False   \n",
+       "1777                              False                               False   \n",
+       "1778                              False                               False   \n",
+       "1779                              False                               False   \n",
+       "1780                              False                               False   \n",
+       "\n",
+       "      WHOIS_UPDATED_DATE_9/12/2016 0:00  \n",
+       "0                                 False  \n",
+       "1                                 False  \n",
+       "2                                 False  \n",
+       "3                                 False  \n",
+       "4                                 False  \n",
+       "...                                 ...  \n",
+       "1776                              False  \n",
+       "1777                              False  \n",
+       "1778                              False  \n",
+       "1779                               True  \n",
+       "1780                              False  \n",
+       "\n",
+       "[1781 rows x 3471 columns]"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "website_dummy "
    ]
   },
   {
@@ -479,13 +3502,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
     "from sklearn.model_selection import train_test_split\n",
+    "X = website_dummy.drop('Type', axis = 1)\n",
+    "y = website_dummy['Type']\n",
     "\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
    ]
   },
   {
@@ -499,12 +3525,80 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;standardscaler&#x27;, StandardScaler()),\n",
+       "                (&#x27;logisticregression&#x27;,\n",
+       "                 LogisticRegression(max_iter=1000, solver=&#x27;saga&#x27;))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[(&#x27;standardscaler&#x27;, StandardScaler()),\n",
+       "                (&#x27;logisticregression&#x27;,\n",
+       "                 LogisticRegression(max_iter=1000, solver=&#x27;saga&#x27;))])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(max_iter=1000, solver=&#x27;saga&#x27;)</pre></div></div></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "Pipeline(steps=[('standardscaler', StandardScaler()),\n",
+       "                ('logisticregression',\n",
+       "                 LogisticRegression(max_iter=1000, solver='saga'))])"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "\n",
+    "pipeline = make_pipeline(StandardScaler(), LogisticRegression(solver='saga', max_iter=1000))\n",
+    "\n",
+    "pipeline.fit(X_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Veronica\\anaconda3\\Lib\\site-packages\\sklearn\\linear_model\\_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "  n_iter_i = _check_optimize_result(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {color: black;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression()</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "LogisticRegression()"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "from sklearn.linear_model import LogisticRegression\n",
+    "logistic_model = LogisticRegression()\n",
+    "logistic_model.fit(X_train, y_train)"
    ]
   },
   {
@@ -516,11 +3610,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Your code here:\n",
+    "\n",
+    "y_pred = pipeline.predict(X_test)\n",
     "\n"
    ]
   },
@@ -533,12 +3629,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[305   1]\n",
+      " [ 22  29]]\n",
+      "0.9355742296918768\n"
+     ]
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "from sklearn.metrics import confusion_matrix, accuracy_score\n",
+    "\n",
+    "conf_matrix = confusion_matrix(y_test, y_pred)\n",
+    "\n",
+    "acc_score = accuracy_score(y_test, y_pred)\n",
+    "\n",
+    "\n",
+    "print(conf_matrix)\n",
+    "print(acc_score)\n"
    ]
   },
   {
@@ -550,7 +3664,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -569,12 +3683,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-7 {color: black;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-7 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-7 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-7 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-7 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-7\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KNeighborsClassifier(n_neighbors=3)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" checked><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KNeighborsClassifier</label><div class=\"sk-toggleable__content\"><pre>KNeighborsClassifier(n_neighbors=3)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "KNeighborsClassifier(n_neighbors=3)"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "#%pip install numpy scikit-learn\n",
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "from sklearn.metrics import confusion_matrix, accuracy_score\n",
+    "\n",
+    "\n",
+    "knn3 = KNeighborsClassifier(n_neighbors=3)\n",
+    "\n",
+    "knn3.fit(X_train, y_train)"
    ]
   },
   {
@@ -586,12 +3723,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Veronica\\anaconda3\\Lib\\site-packages\\sklearn\\base.py:464: UserWarning: X does not have valid feature names, but KNeighborsClassifier was fitted with feature names\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[302   4]\n",
+      " [ 20  31]]\n",
+      "0.9327731092436975\n"
+     ]
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "\n",
+    "y_pred_knn3 =  knn3.predict(np.ascontiguousarray(X_test))\n",
+    "\n",
+    "conf_matrix_knn3 = confusion_matrix(y_test, y_pred_knn3)\n",
+    "acc_score_knn3 = accuracy_score(y_test, y_pred_knn3)\n",
+    "\n",
+    "print(conf_matrix_knn3)\n",
+    "\n",
+    "print(acc_score_knn3)"
    ]
   },
   {
@@ -605,12 +3768,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\Veronica\\anaconda3\\Lib\\site-packages\\sklearn\\base.py:464: UserWarning: X does not have valid feature names, but KNeighborsClassifier was fitted with feature names\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[300   6]\n",
+      " [ 21  30]]\n",
+      "0.9243697478991597\n"
+     ]
+    }
+   ],
    "source": [
     "# Your code here:\n",
-    "\n"
+    "knn5 = KNeighborsClassifier(n_neighbors=5)\n",
+    "\n",
+    "knn5.fit(X_train, y_train)\n",
+    "\n",
+    "y_pred_knn5 =  knn5.predict(np.ascontiguousarray(X_test))\n",
+    "\n",
+    "conf_matrix_knn5 = confusion_matrix(y_test, y_pred_knn5)\n",
+    "acc_score_knn5 = accuracy_score(y_test, y_pred_knn5)\n",
+    "\n",
+    "print(conf_matrix_knn5)\n",
+    "\n",
+    "print(acc_score_knn5)"
    ]
   },
   {
@@ -622,7 +3814,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -645,7 +3837,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -655,9 +3847,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "ironhack-3.7",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "ironhack-3.7"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -669,9 +3861,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }