diff --git a/DBSCAN.ipynb b/DBSCAN.ipynb
deleted file mode 100644
index 8ffdd83e7d2ca7d6b4ab5cb9f16f5e7ef3a25ff5..0000000000000000000000000000000000000000
--- a/DBSCAN.ipynb
+++ /dev/null
@@ -1,1386 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "b64577ef",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pyodbc\n",
-    "import pandas as pd\n",
-    "from sqlalchemy import create_engine\n",
-    "import urllib\n",
-    "import seaborn as sns\n",
-    "from matplotlib import pyplot as plt\n",
-    "import numpy as np\n",
-    "import random"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "003c9939",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "params = urllib.parse.quote_plus(\"DRIVER={ODBC Driver 17 for SQL Server};\"\n",
-    "                                 #\"SERVER=dbserver.mif.pg.gda.pl,1433;\"\n",
-    "                                 \"SERVER=127.0.0.1,1433;\"\n",
-    "                                 \"DATABASE=silkycoders;\"\n",
-    "                                 \"UID=;\"\n",
-    "                                 \"PWD=\")\n",
-    "\n",
-    "engine = create_engine(\"mssql+pyodbc:///?odbc_connect={}\".format(params))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "6f54c133",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "query = \"\"\"SELECT rfid.*, it.*, sub.*, cl.*, dep.*, br.*\n",
-    "    FROM rfid.Logs rfid \n",
-    "    JOIN rfid.EanEpc ean \n",
-    "    ON rfid.EPC = ean.EPC \n",
-    "    JOIN dw.Item it  \n",
-    "    ON ean.EAN = it.EAN \n",
-    "    JOIN dw.Subclass sub \n",
-    "    ON sub.SubclassID = it.SubclassID\n",
-    "    JOIN dw.Class cl\n",
-    "    ON sub.ClassID = cl.ClassID\n",
-    "    JOIN dw.Department dep\n",
-    "    ON dep.DepartmentID = cl.DepartmentID\n",
-    "    JOIN dw.Brand br\n",
-    "    ON dep.BrandID = br.BrandID\"\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "8dacf9c6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = pd.read_sql_query(query, engine)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "7115d11d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def prepare_timestamp(df : pd.DataFrame):\n",
-    "    \n",
-    "    dt = df.sort_values(by=\"TIMESTAMP\").reset_index(drop=True)\n",
-    "    dt[\"HOUR\"] = dt.TIMESTAMP.astype('datetime64[ns]').dt.hour.astype(int)\n",
-    "    dt[\"MIN\"] = dt.TIMESTAMP.astype('datetime64[ns]').dt.minute.astype(int)\n",
-    "    dt[\"SEC\"] = dt.TIMESTAMP.astype('datetime64[ns]').dt.second.astype(int)\n",
-    "    dt[\"MICROSEC\"] = dt.TIMESTAMP.astype('datetime64[ns]').dt.microsecond.astype(int)\n",
-    "\n",
-    "    dt[\"MILISEC\"] = dt.MICROSEC/1000 + dt.SEC*1000 + dt.MIN*60000 + dt.HOUR*3600000\n",
-    "    dt[\"TIME_MS\"] = dt.MILISEC - dt.MILISEC[0]\n",
-    "    \n",
-    "    dt['TIME_PER_MEASUREMENT_MS'] = 0\n",
-    "    dt['NUMBER_OF_SIGNALS'] = 0\n",
-    "    dt['LENGTH_OF_MEASUREMENT'] = 0\n",
-    "    \n",
-    "    for m in dt.MEASUREMENT.unique():\n",
-    "        filtr = (dt.MEASUREMENT == m)\n",
-    "        dt.loc[filtr,'TIME_PER_MEASUREMENT_MS'] = dt[filtr].MILISEC - dt[filtr].MILISEC.iloc[0]\n",
-    "        dt.loc[filtr, \"NUMBER_OF_SIGNALS\"] = len(dt[filtr])\n",
-    "        dt.loc[filtr, 'LENGTH_OF_MEASUREMENT'] = dt[filtr].TIME_PER_MEASUREMENT_MS.max()\n",
-    "        \n",
-    "    dt[\"TIME_KMS\"] = np.floor(dt.TIME_MS/1000)    \n",
-    "    dt = dt.merge(dt.groupby(['EPC','TIME_KMS'])[\"PROXIMITY\"].max().reset_index(name=\"MAX_PROXIMITY_KMS\"), how=\"left\",\n",
-    "                                 on = ['EPC','TIME_KMS'])\n",
-    "    dt = dt.merge(dt.groupby(['EPC','TIME_KMS'])[\"PROXIMITY\"].sum().reset_index(name=\"SUM_PROXIMITY_KMS\"), how=\"left\",\n",
-    "                                 on = ['EPC','TIME_KMS'])\n",
-    "    return dt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "d9ce0df4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = prepare_timestamp(df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 616,
-   "id": "d0639b80",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "Int64Index: 502689 entries, 0 to 502688\n",
-      "Data columns (total 36 columns):\n",
-      " #   Column                   Non-Null Count   Dtype  \n",
-      "---  ------                   --------------   -----  \n",
-      " 0   EPC                      502689 non-null  object \n",
-      " 1   PROXIMITY                502689 non-null  float64\n",
-      " 2   TIMESTAMP                502689 non-null  object \n",
-      " 3   MEASUREMENT              502689 non-null  int64  \n",
-      " 4   ITEMID                   502689 non-null  float64\n",
-      " 5   EAN                      502689 non-null  object \n",
-      " 6   StyleColorSize           502689 non-null  object \n",
-      " 7   StyleColor               502689 non-null  object \n",
-      " 8   Size                     502689 non-null  object \n",
-      " 9   SubclassID               502689 non-null  float64\n",
-      " 10  ItemSeason               502689 non-null  object \n",
-      " 11  FashionLevel             502689 non-null  object \n",
-      " 12  SubclassID               502689 non-null  float64\n",
-      " 13  SubclassName             502689 non-null  object \n",
-      " 14  ClassID                  502689 non-null  float64\n",
-      " 15  ClassID                  502689 non-null  float64\n",
-      " 16  ClassName                502689 non-null  object \n",
-      " 17  DepartmentID             502689 non-null  float64\n",
-      " 18  DepartmentID             502689 non-null  float64\n",
-      " 19  DepartmentName           502689 non-null  object \n",
-      " 20  BrandID                  502689 non-null  float64\n",
-      " 21  BrandID                  502689 non-null  float64\n",
-      " 22  BrandName                502689 non-null  object \n",
-      " 23  Active                   502689 non-null  float64\n",
-      " 24  HOUR                     502689 non-null  float64\n",
-      " 25  MIN                      502689 non-null  float64\n",
-      " 26  SEC                      502689 non-null  float64\n",
-      " 27  MICROSEC                 502689 non-null  float64\n",
-      " 28  MILISEC                  502689 non-null  float64\n",
-      " 29  TIME_MS                  502689 non-null  float64\n",
-      " 30  TIME_PER_MEASUREMENT_MS  502689 non-null  float64\n",
-      " 31  NUMBER_OF_SIGNALS        502689 non-null  float64\n",
-      " 32  LENGTH_OF_MEASUREMENT    502689 non-null  float64\n",
-      " 33  TIME_KMS                 502689 non-null  float64\n",
-      " 34  MAX_PROXIMITY_KMS        502689 non-null  float64\n",
-      " 35  SUM_PROXIMITY_KMS        502689 non-null  float64\n",
-      "dtypes: float64(23), int64(1), object(12)\n",
-      "memory usage: 141.9+ MB\n"
-     ]
-    }
-   ],
-   "source": [
-    "df.info()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "8947ace6",
-   "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>PROXIMITY</th>\n",
-       "      <th>MEASUREMENT</th>\n",
-       "      <th>ITEMID</th>\n",
-       "      <th>SubclassID</th>\n",
-       "      <th>SubclassID</th>\n",
-       "      <th>ClassID</th>\n",
-       "      <th>ClassID</th>\n",
-       "      <th>DepartmentID</th>\n",
-       "      <th>DepartmentID</th>\n",
-       "      <th>BrandID</th>\n",
-       "      <th>...</th>\n",
-       "      <th>SEC</th>\n",
-       "      <th>MICROSEC</th>\n",
-       "      <th>MILISEC</th>\n",
-       "      <th>TIME_MS</th>\n",
-       "      <th>TIME_PER_MEASUREMENT_MS</th>\n",
-       "      <th>NUMBER_OF_SIGNALS</th>\n",
-       "      <th>LENGTH_OF_MEASUREMENT</th>\n",
-       "      <th>TIME_KMS</th>\n",
-       "      <th>MAX_PROXIMITY_KMS</th>\n",
-       "      <th>SUM_PROXIMITY_KMS</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>5.026890e+05</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>5.026890e+05</td>\n",
-       "      <td>5.026890e+05</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.00000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>-75.406017</td>\n",
-       "      <td>23.412382</td>\n",
-       "      <td>2.169862e+06</td>\n",
-       "      <td>83.920704</td>\n",
-       "      <td>83.920704</td>\n",
-       "      <td>18.231477</td>\n",
-       "      <td>18.231477</td>\n",
-       "      <td>2.609574</td>\n",
-       "      <td>2.609574</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>29.193547</td>\n",
-       "      <td>499773.110213</td>\n",
-       "      <td>3.721192e+07</td>\n",
-       "      <td>2.018186e+06</td>\n",
-       "      <td>100132.210719</td>\n",
-       "      <td>15383.906986</td>\n",
-       "      <td>199835.398777</td>\n",
-       "      <td>2017.68607</td>\n",
-       "      <td>-72.497318</td>\n",
-       "      <td>-398.108291</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>5.698062</td>\n",
-       "      <td>12.175284</td>\n",
-       "      <td>7.798483e+04</td>\n",
-       "      <td>142.489244</td>\n",
-       "      <td>142.489244</td>\n",
-       "      <td>8.844056</td>\n",
-       "      <td>8.844056</td>\n",
-       "      <td>0.937828</td>\n",
-       "      <td>0.937828</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>17.223297</td>\n",
-       "      <td>288469.414710</td>\n",
-       "      <td>1.121487e+06</td>\n",
-       "      <td>1.121487e+06</td>\n",
-       "      <td>81859.831696</td>\n",
-       "      <td>8217.121271</td>\n",
-       "      <td>101049.072703</td>\n",
-       "      <td>1121.48684</td>\n",
-       "      <td>5.893956</td>\n",
-       "      <td>262.167663</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>-110.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2.028742e+06</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>3.519374e+07</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>4597.000000</td>\n",
-       "      <td>53538.000000</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>-100.500000</td>\n",
-       "      <td>-2629.400000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>-79.900000</td>\n",
-       "      <td>13.000000</td>\n",
-       "      <td>2.113407e+06</td>\n",
-       "      <td>11.000000</td>\n",
-       "      <td>11.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>14.000000</td>\n",
-       "      <td>250000.000000</td>\n",
-       "      <td>3.624898e+07</td>\n",
-       "      <td>1.055248e+06</td>\n",
-       "      <td>38108.000000</td>\n",
-       "      <td>8533.000000</td>\n",
-       "      <td>127122.000000</td>\n",
-       "      <td>1055.00000</td>\n",
-       "      <td>-76.400000</td>\n",
-       "      <td>-515.900000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>-75.700000</td>\n",
-       "      <td>24.000000</td>\n",
-       "      <td>2.155604e+06</td>\n",
-       "      <td>82.000000</td>\n",
-       "      <td>82.000000</td>\n",
-       "      <td>16.000000</td>\n",
-       "      <td>16.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>29.000000</td>\n",
-       "      <td>500000.000000</td>\n",
-       "      <td>3.719645e+07</td>\n",
-       "      <td>2.002711e+06</td>\n",
-       "      <td>78477.000000</td>\n",
-       "      <td>13321.000000</td>\n",
-       "      <td>176026.000000</td>\n",
-       "      <td>2002.00000</td>\n",
-       "      <td>-72.900000</td>\n",
-       "      <td>-342.900000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>-71.900000</td>\n",
-       "      <td>33.000000</td>\n",
-       "      <td>2.226340e+06</td>\n",
-       "      <td>82.000000</td>\n",
-       "      <td>82.000000</td>\n",
-       "      <td>25.000000</td>\n",
-       "      <td>25.000000</td>\n",
-       "      <td>3.000000</td>\n",
-       "      <td>3.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>44.000000</td>\n",
-       "      <td>749000.000000</td>\n",
-       "      <td>3.815973e+07</td>\n",
-       "      <td>2.965991e+06</td>\n",
-       "      <td>139431.000000</td>\n",
-       "      <td>22217.000000</td>\n",
-       "      <td>265127.000000</td>\n",
-       "      <td>2965.00000</td>\n",
-       "      <td>-68.400000</td>\n",
-       "      <td>-225.700000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>-38.900000</td>\n",
-       "      <td>43.000000</td>\n",
-       "      <td>2.304122e+06</td>\n",
-       "      <td>630.000000</td>\n",
-       "      <td>630.000000</td>\n",
-       "      <td>41.000000</td>\n",
-       "      <td>41.000000</td>\n",
-       "      <td>6.000000</td>\n",
-       "      <td>6.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>59.000000</td>\n",
-       "      <td>999000.000000</td>\n",
-       "      <td>3.912875e+07</td>\n",
-       "      <td>3.935013e+06</td>\n",
-       "      <td>435771.000000</td>\n",
-       "      <td>35350.000000</td>\n",
-       "      <td>435771.000000</td>\n",
-       "      <td>3935.00000</td>\n",
-       "      <td>-38.900000</td>\n",
-       "      <td>-52.300000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>8 rows × 23 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           PROXIMITY    MEASUREMENT        ITEMID     SubclassID  \\\n",
-       "count  502689.000000  502689.000000  5.026890e+05  502689.000000   \n",
-       "mean      -75.406017      23.412382  2.169862e+06      83.920704   \n",
-       "std         5.698062      12.175284  7.798483e+04     142.489244   \n",
-       "min      -110.000000       1.000000  2.028742e+06      10.000000   \n",
-       "25%       -79.900000      13.000000  2.113407e+06      11.000000   \n",
-       "50%       -75.700000      24.000000  2.155604e+06      82.000000   \n",
-       "75%       -71.900000      33.000000  2.226340e+06      82.000000   \n",
-       "max       -38.900000      43.000000  2.304122e+06     630.000000   \n",
-       "\n",
-       "          SubclassID        ClassID        ClassID   DepartmentID  \\\n",
-       "count  502689.000000  502689.000000  502689.000000  502689.000000   \n",
-       "mean       83.920704      18.231477      18.231477       2.609574   \n",
-       "std       142.489244       8.844056       8.844056       0.937828   \n",
-       "min        10.000000      10.000000      10.000000       2.000000   \n",
-       "25%        11.000000      10.000000      10.000000       2.000000   \n",
-       "50%        82.000000      16.000000      16.000000       2.000000   \n",
-       "75%        82.000000      25.000000      25.000000       3.000000   \n",
-       "max       630.000000      41.000000      41.000000       6.000000   \n",
-       "\n",
-       "        DepartmentID   BrandID  ...            SEC       MICROSEC  \\\n",
-       "count  502689.000000  502689.0  ...  502689.000000  502689.000000   \n",
-       "mean        2.609574       1.0  ...      29.193547  499773.110213   \n",
-       "std         0.937828       0.0  ...      17.223297  288469.414710   \n",
-       "min         2.000000       1.0  ...       0.000000       0.000000   \n",
-       "25%         2.000000       1.0  ...      14.000000  250000.000000   \n",
-       "50%         2.000000       1.0  ...      29.000000  500000.000000   \n",
-       "75%         3.000000       1.0  ...      44.000000  749000.000000   \n",
-       "max         6.000000       1.0  ...      59.000000  999000.000000   \n",
-       "\n",
-       "            MILISEC       TIME_MS  TIME_PER_MEASUREMENT_MS  NUMBER_OF_SIGNALS  \\\n",
-       "count  5.026890e+05  5.026890e+05            502689.000000      502689.000000   \n",
-       "mean   3.721192e+07  2.018186e+06            100132.210719       15383.906986   \n",
-       "std    1.121487e+06  1.121487e+06             81859.831696        8217.121271   \n",
-       "min    3.519374e+07  0.000000e+00                 0.000000        4597.000000   \n",
-       "25%    3.624898e+07  1.055248e+06             38108.000000        8533.000000   \n",
-       "50%    3.719645e+07  2.002711e+06             78477.000000       13321.000000   \n",
-       "75%    3.815973e+07  2.965991e+06            139431.000000       22217.000000   \n",
-       "max    3.912875e+07  3.935013e+06            435771.000000       35350.000000   \n",
-       "\n",
-       "       LENGTH_OF_MEASUREMENT      TIME_KMS  MAX_PROXIMITY_KMS  \\\n",
-       "count          502689.000000  502689.00000      502689.000000   \n",
-       "mean           199835.398777    2017.68607         -72.497318   \n",
-       "std            101049.072703    1121.48684           5.893956   \n",
-       "min             53538.000000       0.00000        -100.500000   \n",
-       "25%            127122.000000    1055.00000         -76.400000   \n",
-       "50%            176026.000000    2002.00000         -72.900000   \n",
-       "75%            265127.000000    2965.00000         -68.400000   \n",
-       "max            435771.000000    3935.00000         -38.900000   \n",
-       "\n",
-       "       SUM_PROXIMITY_KMS  \n",
-       "count      502689.000000  \n",
-       "mean         -398.108291  \n",
-       "std           262.167663  \n",
-       "min         -2629.400000  \n",
-       "25%          -515.900000  \n",
-       "50%          -342.900000  \n",
-       "75%          -225.700000  \n",
-       "max           -52.300000  \n",
-       "\n",
-       "[8 rows x 23 columns]"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 584,
-   "id": "118205d4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array(['RH267-85J', 'RS483-99X', 'SB281-90M', 'RJ369-87X', 'RM119-93X',\n",
-       "       'RV167-MLC', 'RV462-87X', 'QJ677-33X', 'RH797-00X', 'RH267-55J',\n",
-       "       'SL171-99X', 'SO133-09M', 'RB254-00X', 'SF078-MLC', 'QY337-00X',\n",
-       "       'SP095-59X', 'RN633-00X', 'RH267-59J', 'RV167-87X', 'RK485-99X',\n",
-       "       'RJ365-09M', 'RH797-59X', 'SP090-90X', 'RH797-99X', 'RJ371-59M',\n",
-       "       'RV462-99X', 'RH797-81X', 'QZ555-20X', 'RJ371-53M', 'RS054-99X'],\n",
-       "      dtype=object)"
-      ]
-     },
-     "execution_count": 584,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.StyleColor.unique()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "a6409b89",
-   "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>EPC</th>\n",
-       "      <th>PROXIMITY</th>\n",
-       "      <th>TIMESTAMP</th>\n",
-       "      <th>MEASUREMENT</th>\n",
-       "      <th>ITEMID</th>\n",
-       "      <th>EAN</th>\n",
-       "      <th>StyleColorSize</th>\n",
-       "      <th>StyleColor</th>\n",
-       "      <th>Size</th>\n",
-       "      <th>SubclassID</th>\n",
-       "      <th>...</th>\n",
-       "      <th>SEC</th>\n",
-       "      <th>MICROSEC</th>\n",
-       "      <th>MILISEC</th>\n",
-       "      <th>TIME_MS</th>\n",
-       "      <th>TIME_PER_MEASUREMENT_MS</th>\n",
-       "      <th>NUMBER_OF_SIGNALS</th>\n",
-       "      <th>LENGTH_OF_MEASUREMENT</th>\n",
-       "      <th>TIME_KMS</th>\n",
-       "      <th>MAX_PROXIMITY_KMS</th>\n",
-       "      <th>SUM_PROXIMITY_KMS</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>0 rows × 36 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [EPC, PROXIMITY, TIMESTAMP, MEASUREMENT, ITEMID, EAN, StyleColorSize, StyleColor, Size, SubclassID, ItemSeason, FashionLevel, SubclassID, SubclassName, ClassID, ClassID, ClassName, DepartmentID, DepartmentID, DepartmentName, BrandID, BrandID, BrandName, Active, HOUR, MIN, SEC, MICROSEC, MILISEC, TIME_MS, TIME_PER_MEASUREMENT_MS, NUMBER_OF_SIGNALS, LENGTH_OF_MEASUREMENT, TIME_KMS, MAX_PROXIMITY_KMS, SUM_PROXIMITY_KMS]\n",
-       "Index: []\n",
-       "\n",
-       "[0 rows x 36 columns]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#do testow samego modelu\n",
-    "test = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') & ((df.MEASUREMENT == 2) | (df.MEASUREMENT == 3) | (df.MEASUREMENT == 4) | (df.MEASUREMENT == 26) | (df.MEASUREMENT == 28) ) ]\n",
-    "\n",
-    "test1 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') & ( (df.MEASUREMENT == 1) ) ]\n",
-    "test2 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') & ( (df.MEASUREMENT == 2) ) ]\n",
-    "test3 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') & ( (df.MEASUREMENT == 3) ) ]\n",
-    "test4 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') & ( (df.MEASUREMENT == 4) ) ]\n",
-    "test5 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 5) ]\n",
-    "test6 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 6) ]\n",
-    "test9 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 9) ]\n",
-    "test12 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 12) ]\n",
-    "test22 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 22) ]\n",
-    "test24 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 24) ]\n",
-    "test25 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 25) ]\n",
-    "test21 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 21) ]\n",
-    "test29 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 29) ]\n",
-    "test28 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 28) ]\n",
-    "\n",
-    "test29"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "0efd09a8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,8))\n",
-    "sns.scatterplot(x=\"TIME_MS\", y=\"SUM_PROXIMITY_KMS\", hue='EAN', data=test6)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 316,
-   "id": "77ce4d74",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,8))\n",
-    "sns.scatterplot(x=\"TIME_MS\", y=\"SUM_PROXIMITY_KMS\", hue='EAN', data=test[test.MEASUREMENT == 3])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 317,
-   "id": "cf36bdef",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,8))\n",
-    "sns.scatterplot(x=\"TIME_MS\", y=\"SUM_PROXIMITY_KMS\", hue='EPC', data=test[test.MEASUREMENT == 4])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 981,
-   "id": "6ec2a914",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,8))\n",
-    "sns.scatterplot(x=\"TIME_MS\", y=\"SUM_PROXIMITY_KMS\", hue='EPC', data=test[test.MEASUREMENT == 26])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 365,
-   "id": "71d83771",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,8))\n",
-    "sns.scatterplot(x=\"TIME_MS\", y=\"SUM_PROXIMITY_KMS\", hue='EAN', data=test[test.MEASUREMENT == 28])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "0f660799",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "\n",
-    "from sklearn.cluster import DBSCAN\n",
-    "from sklearn import metrics\n",
-    "from sklearn.datasets import make_blobs\n",
-    "from sklearn.preprocessing import StandardScaler\n",
-    "from sklearn.preprocessing import normalize"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "aa6bd73b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "11         1\n",
-       "16         1\n",
-       "36         1\n",
-       "38         1\n",
-       "111        1\n",
-       "          ..\n",
-       "322716    28\n",
-       "322717    28\n",
-       "322719    28\n",
-       "322727    28\n",
-       "322746    28\n",
-       "Name: MEASUREMENT, Length: 33389, dtype: int64"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#zbiĂłr testowy dla kilku stylokolorĂłw\n",
-    "test0 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & ((df.StyleColor == 'RH797-81X') | (df.StyleColor == 'SL171-99X') \n",
-    "                                                         | (df.StyleColor == 'RH797-59X'))]\n",
-    "caly1 = test0[['SUM_PROXIMITY_KMS','TIME_MS', 'EAN', 'MEASUREMENT','StyleColor']]\n",
-    "\n",
-    "\n",
-    "caly1.MEASUREMENT"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 951,
-   "id": "f5208208",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "def caly(x,eps, sc):\n",
-    "    DF = x[(x.StyleColor == sc)]\n",
-    "    measurements = DF.MEASUREMENT.unique()\n",
-    "    eans = DF.EAN.unique()\n",
-    "    #eps = 5000\n",
-    "    outliery = pd.DataFrame(columns = ['MEASUREMENT', 'EAN'])\n",
-    "    \n",
-    "    for i in measurements:\n",
-    "        proba = DF[ DF.MEASUREMENT == i ]\n",
-    "        X = np.asarray(proba[['SUM_PROXIMITY_KMS','TIME_MS']]).reshape(-1, 2)\n",
-    "        minimal_epc = np.floor(proba['EAN'].value_counts().min()/3)\n",
-    "\n",
-    "\n",
-    "        db = DBSCAN(eps=eps, min_samples=minimal_epc, algorithm='auto')\n",
-    "        db.fit(X)\n",
-    "        y_pred = db.fit_predict(X)\n",
-    "        clusters = pd.DataFrame(db.labels_,columns = ['CLUSTER'],index=proba.index)\n",
-    "        calosc = pd.concat([proba, clusters.reindex(proba.index)], axis=1)\n",
-    "\n",
-    "\n",
-    "     \n",
-    "        \n",
-    "\n",
-    "        if (db.labels_[db.labels_ == -1].size != 0 ) & (db.labels_[db.labels_ == -1].size > minimal_epc ):\n",
-    "            a = calosc[calosc.CLUSTER == -1 ]['EAN'].value_counts().sum()\n",
-    "            b = calosc[calosc.CLUSTER == -1 ]['EAN'].value_counts()[0]  \n",
-    "            if a - 2*b < 0:\n",
-    "                outliery = outliery.append({'MEASUREMENT': i, 'EAN': calosc[calosc.CLUSTER == -1 ]['EAN'].value_counts().index[0]}, ignore_index = True)\n",
-    "                \n",
-    "            \n",
-    "    return(outliery)\n",
-    "\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 961,
-   "id": "d4f97788",
-   "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>MEASUREMENT</th>\n",
-       "      <th>EAN</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>9</td>\n",
-       "      <td>5902805820461</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>10</td>\n",
-       "      <td>5902805820461</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>22</td>\n",
-       "      <td>5902805820447</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>21</td>\n",
-       "      <td>5902805820447</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>23</td>\n",
-       "      <td>5902805820447</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>25</td>\n",
-       "      <td>5902805820447</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>24</td>\n",
-       "      <td>5902805820447</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>26</td>\n",
-       "      <td>5902805820447</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>30</td>\n",
-       "      <td>5902805820447</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>27</td>\n",
-       "      <td>5902805820447</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>28</td>\n",
-       "      <td>5902805820447</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   MEASUREMENT            EAN\n",
-       "0            9  5902805820461\n",
-       "1           10  5902805820461\n",
-       "2           22  5902805820447\n",
-       "3           21  5902805820447\n",
-       "4           23  5902805820447\n",
-       "5           25  5902805820447\n",
-       "6           24  5902805820447\n",
-       "7           26  5902805820447\n",
-       "8           30  5902805820447\n",
-       "9           27  5902805820447\n",
-       "10          28  5902805820447"
-      ]
-     },
-     "execution_count": 961,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "caly(caly1,5000, 'RH797-81X')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9ef2c682",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "aee7e227",
-   "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>MEASUREMENT</th>\n",
-       "      <th>EAN</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [MEASUREMENT, EAN]\n",
-       "Index: []"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#pusty zbiĂłr na outliery \n",
-    "outliery = pd.DataFrame(columns = ['MEASUREMENT', 'EAN'])\n",
-    "outliery"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "53539a5c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "min_epc: 30\n",
-      "Liczba obserwacji: 528\n",
-      "Liczba outlierĂłw: 63\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 1.0, 'DBSCAN')"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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M4cPVJVS3mZdhe3UTRTXFnD6uryaHbmTWvu6bFFpt+QSruRpGno3NEb8XvbVa9PH6wHVz1id0Yti5fL5PUmi14oX76Dd1BvPuuSLoFdEYw+izb6C5qoz8/Q+j3+TjQhht9ErYX62d9SVB6xtd7QfpMsbQ4HSTZLeR7B0wq6S22ScptLIMLN1ewyFDYme0z5qmFr7ZWL5rewpyUjlkcI/omWyozP85IQBKFkPpEqyD78QWxU2AtU0t1Da76JWZTLJ9765GdgcZyDEzJ3BbudttYbPF9wWCa2c9HrCu8NGbaKoI/r0HyCoYzuif/Lw7w+pWdc0tFG6toqKxhYwkOwcW5NA7q3uvdUnYxDA4Z2jQ+j3nYVhTWsuSbdW7Bn1LT7Jx/OjebK1qP5dDq6LavZxXIEzclmHRlgq2VDX6HfdpW3UT764qZua4fhH/MTHG8k7zGYTlgpUvwIG/CE9QXdDY4uKjNTtpbNn9oz4wJ43DhvYI+L+dO3sVb/1rEY31TlJSHZx42SSOv2D/oK9zxMyxACyft5nZTxVSVVpHaloyVWX1WN7xzYfv35dr7zk+aBKJVS0NgUelrdm0suMnECE9v+OWgkipaHDy0ZrdrR3NLotP15cxeUAuI/M7no64s6JkVzD88tJ6kJvifyq8zKQs+mTsnvawqKaJ79okBfDM7fz+ypKgo6cmR8ueth/GGN5fVcymSv9JoVVji8WOmsgnOPPj23RqjP2aDR0vEwEfrvZNCgBbqxv5vqja7/Kfv7Gclx+a6xkkz0Bzo4vZ/1zEk3fMCfgaYoOcXum8/eQinrj1Y3b8WEFDjZOKkrpdSQHgx++Lue+qWVjB3vhuZoxnWIsl26pYWVxDg5+5JrrDgEMDn2uy3MGHzgZIzy8gZ+jY7gypW32zsdxv+bfbqujO4Y2i95crDN46830yknyzbJo9jbd+8r5P2Xfbqvyu32IZslICJ4YJ/QIP9BVpJbXN1HXyy7mjOvBRUTgYVxPsmNvJpaOvmaSq0UlTgOaftaX+5w6Y/a/Ffsu//3pzwNc5+fJJ1FY28vFLyzqOqbSe1YXbOlyuO1jG8PmPZczdWM7q0jp+KK7h3ZXFIdnhGH7K5aTk5gcIJHiHkuzBYzjyz69H/Og4mEDfWQNUN3XfxEsJ25QEkJmSyZcXzmdj1Y98V/It43vtz+ieY9ot19gS+Ae01unmiCE9mbup3Gd/dnjPdAbnpQdcL9K68qWM+DhQTRUgdqDjPT56Rt/eXr0zcNyBpmps6WBiGH/GHjyQ9cuK6UyHOmOgZHM1Y6cO7PLrdNWmigbK6py7hqz2bLJh3qZyfjKhf7cOV22zO5j+6Kesee3vbPvmHcSRREt9Da6G2oDrJOf05uj7ZpGaE/2jHQSbzrs7WygSOjG0Gpo7nKG5wwPWZ6c6KPfTPRCgb2YKvTJTODe3gK1VDThdhoF5aaRG+TDHWamde+sFurXtcq+k5AbvSdIqKQv2uyTk4XRVz/TAPaUCjRRqs0mXm3p69M2ksc65Z49Lv8Qm9Bvqvym1u22saPA7j4ExnjnUu3suAbsjibEX3szYC2/Gcjl599LAEzgNOeEixp7/axyp0bsT11bfrBSK/EwhmmK3devc8gndlNRZUwYGOBeRbKeX90NtE2FwXgYj8zOjPikADOuR0eGb77AJJ4wO/QQkHZGkdM9sbbY9j1zs0Gcq5E+E/S7GdtifsNmjb2jq1CQ7AwOc6D14sP/P1uQT/O+o5PX2P0FN74HZZOelM+rA/iR3Iun36JPJqEnhmawn2IyHof9oBX+B0T/5ecwkBYDDh/YkfY9Z+mwCx40K0Hy2l/SIoRPy0pM5dkQv5m+uoLHFM3NSn6wUjhwW/YeegdhtwvGj8/l0XZlPc8a4Ppn0z0kjyWYjJy16hhKXkWdhktJh+9fgbob0PsjIsxA/83JHo8OG9mR5cQ2rd9bhtgwZyXamDsqjT4BuhpfcehT11c2smL91V9nQ8b258dHTePauT1jW5lxDr/5Z3PKvMwHPDG83PXYaD/38bVr8tUcLjJlcwFV3H4etGyePD2Z4zwzK6p1+Z/DrGeI5JmyOJDL6DaG+aFO7uuTsnqRkx053cgCH3cbM8f0prm1iR3UTuWlJDO2R3u3nRXSiHkVVg5Nmt2c2KHs3T2rS3YwxYCzPfA0JwNnkomhTJb0H5JCWuftHtLHOycaVJfQdnEePPu2b+iy3xdKvNrFjQwX7TR3A8Ahe9GaMYeGWSrZUNmIw2EQQ4JgR+d0+ib0/DaXb+ezmU3yGuxC7g6PueYPsQaODrBnfdAa3PczbNpc/fHMHlU2VpDhSuHLCtVyx/9UhilApBVDV2MLOumaS7TYG5KSG9cJJy+1iwwcvULn2O7KH7MeI067GnhR9zY7hFJHEICJ/BU4DnMCPwBXGmCpv3W3AVYAb+KUx5iNv+UHAc0Aa8D7wK9NBgF1NDO+um83d8+5oV370wGN58Ni/d/p5lFIqlgVLDKFM2XOA8caY/YG1wG3eYMYC5wPjgBOBf4hIa7vAE8C1wEjv7cTuDuoP8+70W/7F1s+obKzo7pdTSqmYE7LEYIz52BjT2hl7AdB6nflM4BVjTLMxZiOwHpgqIv2AbGPMfO9RwvPAGd0ZU5OrCRPk6tnPt3zWnS+nlFIxKVy9kq4EXvXeL8CTKFpt85a1eO/vWd6OiFyL58iCQYMGdToIlxX8ysCGlsDjrKjoYzWUwfo3oKUJBh6NrffESIekVFzYp8QgIp8A/ro73G6Mme1d5nY8l6y+2Lqan+VNkPL2hcY8CTwJnnMMnY032Rb8QpqRPRK3h0Kssda+Dju+2V2w8jms9TnIIXchEt09q1RkNNdWMO+eK6ndsmZXWc6w8Uy67n6yCoZFMLLos0/fIGPMdGPMeD+31qRwGXAqcFGbk8jbgLbX4Q8AdnjLB/gp7zYry38IWj9v2zdB61V0sBrKfZNCK2c1Zt3/wh+QinrGGD696SSfpABQvWE5X995Lk2VwednSTQh27USkROB3wKnG2PaTm7wNnC+iKSIyFA8J5kXGWOKgFoRmSaeqzUuBWZ3Z0zpScGHdshOid5B71QbG98NXFfsf/A5ldi2z3sPV0ON3zpXcwMbP34pzBFFt1CeY/g/IAWY470qb4Ex5mfGmBUi8hqwEk8T0/XG7Bpo/zp2d1f9wHvrNnvOsbCnC8Ze3J0vFzNqGp0s3FJJdZOLtCQbBw3Mo283T/zRrYKdK7JcWCv/C7VbIbMfjDgzqifuUeFRvubbwJXGULkheGtCogllr6QRxpiBxpiJ3tvP2tTdY4wZbowZbYz5oE15obcpargx5hcdXcOwNx471v/8rdce8HPSk4KPmWJZFpsrGvhuWxU765q7dfzzSNlSWc97q3dS1tBCi2WoaXbz+fqygEONR4VB04NUWrCzEBpLoHQpzL8LS48iEl7e8GATHAk5g9qPqpzIEu4s3SEDD2feRd9ycL9DyEjKZFTeGD4/by7XTrwu6HoltU28umwH8zZXsKa0jk/XlfK/73dQtxfDI0cLYwzzN1X6rVtTWhd0uPFIsuUMgezBnV9h9UtYnRmdVcWFlsY6XM2+c4gMPPIM7Clpfpe3p6QydMZF4QgtZiTkkBhdZVkWry7zfx48xW7jzAmRn/pyb9Q1u3hnZXHA+gMLchjTOyuMEXWNteMb2PQxWE5I7ws1GwMvPPZy7c4a57Z89SZLn7xz1xDttqQUDvnds/QcPQmAhrIivvnTJTSWbt+1TkbfIUz+5UPkDIm+eTxCLdiVzzq6aif8WNEQsK7ZbVEWgjHlw6Gj4bSLaxqjOjHY+h8G/Q8DwOyYjwmWGDqaL1rFtOrNa1j6z9/5lFktzXzzh4s46ZlCktIySO/Vj+P//gmWZWHcLdjsDr+DMZavWcKOhR/Rb/Kx9Bo7NVybEFU0MXRCR/PTNgeYtjHapScHH6F0zzmKo1rPccHr8wNP1qJi33dP3Bqwbvnz93DgT/+y67HNZgM/1zQ5a6v46PqjMC4nABs//A9idzD90U9Iy+vT/UFHsYQ7x7A3hnQwRWevMAwdHCrBckNeiMfK706Skg3DzvRfOfIsbDbdB4pnjWXbA9ZVb1zZqeeYc+MJu5JCK+N28elN3T5kW9RLyMSweMdCjn/lKKb8Z38OeWESDy/+a9AeRjlpSeSn+5+0Zkx+JqkBpmeMBZMHBJ7e8YD+sdXN0zboKJjyO8gbA8m5kDcKpv4OW8ERkQ5NhVhm/6EB6/K85xgCqSvewpavZuNu9D8vtOVsor5kyz7FF2sS7uTzrDWv85cFf2xXPjh7CG+c8XbQk8hLt1extrQOt/GcdJ5UkMOQnv6nWowl3++oYkXJ7nGibMBRw3vRNzuKr2VQqo3a4s18/ms/e/YinPzvJTiS2zcdla1azIJ7r8ba4yjBn0PveJ5eY6d0R6hRQ08+e7ktN/cu+JPfus01m/iuuJCD+gV+8ycW5DKxIDdE0UXO/v1zmdAvh9omFw67dOuk4kqFQ1bfwRx8y79Y/PCvsFqaAHBkZHPE3S+1SwqWy8nix26mZPGcTj9/7tDE6rWUUL8AW2u3BB12e9baN4ImhngmImRH0RzPSnVVn4lHcup/lgRdpvLH5Xx95zldet6e46bhSIv9loGuSKjEkJEU/M3NSw3c3q6Uim1L/vU7tn75ZpfWGXzsuRxw9R9CFFH0SqiTz/npvclNCfzjf9mEq8IYjVIqXOpKtnQ5KSRn5SVkUoAESwwAL572GnZp34soJzmXc2efwc8+vIri+qIIRKaUCpXlz9/b5XXsqcG7qcezhGpKAuiT0ZcFlyxh9rpZvL3uLbbWbKHSWUG1swqAwpJFnPrGCfzp8Hs5afipkQ1W7WKMwXz3CNRu3l1oS4YJ12LLGxGxuCKlubGFxXPWs2rxNobv35ejzxqPzRZ7w7KEi+Vs6vI69mT/YyslgoQ7YgDPidYzRp3FJeMvp9JZ4XeZu765nRZ38KlAVfiYRff7JgXwjJG07P+wFt6LSaBB8ua+s5Jfz3iOlx+cy9IvN/G/xxZww9FP88M3idXXvitGn/WLLq+TyEcMCZkYWr286oWAdZaxWLYzeA8HFR5WSyM0Bh7sj8YSzMb3wxdQBG1ZU8rLD/qfafCfv/uIlhge7TeUeo45iOwhHQybsocRp1wRomiiX0Inhg7nBo7BEVPjUn0nZnjdPjf0cUSBr95cGWAmdMDAvPfXBKhMbDu/nw+Wm9Se/XBkZGNLSiGzYAQjZ/7M7/JpvQfSf+oJYY4yeiR0Yrh47GUB6+xiZ6IO0xwd0nt3vEyCjJ5aW9kYtL6yzRXsyuPjXx3PgvuupGbLaprKi3DV15A3ahLH/vUd3AHOPTSWF2OsxD36SujEcPiAIzm43zS/dX858q84bHrBVzSwJWdBUgfDf+eNCk8wETbhsOATFB18YmL8Hzpr9ax/0FS6rV15+Yr57PxhPhs+eM7/iu4W1r/zbGiDi2IJnRhEhMdPeIp/nvAMI3JH0iO1J0cNPIY5533JcUOOj3R4qq1pd4E9wAWKYoPRF4Q3ngiZOmMkvfpn+q0bNKYX/YboRZpt/fhu4B/3ZU/eEXTd1a//nc2fvdHdIcWEhBtEL5Dt1dvZUb+N/XsfQIpDB4+LVlZjJax4Buq2exJC3mjY7xJsSYnTtdDZ5OLdZwv5ctZKXE43jiQbR501jjOvOzgmZxIMpXcvm4jV0uy3LjknH2d1aYfPMeHKuxk6/bxujizygg2il/CJYeH2eVz/yU99ygZmDeL1M97SpiSlYtzCB6+n5LvP/NaNPvdXrHnt7x0+h9iTOO2F77s7tIgLlhgSuimpprmmXVIAz2B7V7x3cQQiUkp1pyk3/t1zZLkHe1omI0/t3BA4xt2SUNfJQIInhocXPxCwblXFSuqc/ifuUErFBpvDwcn/XkKvcYeAzY44khhw+Omc/PQibI4k+h58UueeqKOu7XEm4YbEaGt1xeqg9WWNpWQmd9AbRikV1RzJyRx6e/uT0BXrllK86MMO10/t0Tfhzt0kVhrcwyH9Dwta3zejf5giUUqFk7vFydy7LoROnGNtqghy1X2cSugjhp9NvJ7nV/jvzjZ98AxStXeSilIv3PsFCz5Yt+ux3SH87rmz6DtIu6t2xpYvZxH4EvL2jDEJddSQ0EcMyY5k3j1rDukO3/7xM4acxL1H/TVCUSkV3Ox/LvJJCgBul+FPF7+BqyWxTpLurYadWzu/sNgSKilAgh8xAPTN7MtXFy2IdBhKddrHLy0LWDfr8YWce+OhYYwmNvWbcnzQi9/aGnH6NSGOJvok9BGDUvFmzXfbIx1CTOgxciIZBZ2Yx8PuYOx5N4Y8nmijiUGpODJkbCcGHFQAHHPvrI4XcifmQHqaGJSKMYeeNjpg3Xk3Be9pp3YrW7mw44US7NxCK00MSsWYi35zJKMnF/iUicCvHz+N5JSEP23YKS2NdSx+5MYOl+s7JTEH09RPkVIx6Jd/OxljDDXlDSSnJ5GWnhzpkGKGsdx8cM0h0NF8C3YHU371SFhiijaaGFTMsJqqYcWz0FgGafkw7kpsqdmRDitiRIScXgGGIlcBbZ37bsdJAcDtomjRx/Q/eEbog4oymhhUTLCKFsGal3YX1NbDgt9jOdJh3BXY8kZGLrgIaGl28dTvP2HF/N398dMykvj5X09i2Pg+EYws+hUVftLpZb974taETAx6jqGbWJZFRX0zNY1OYnEo8/L6Zl5buo2Xl+y+fbe1MtJhAZ6rTn2SQluuBlj2OFbN5vAGFWEP/Owtn6QA0FjfwkM/f5uyHTURiio25A4Z0+llrQBTf8a7kCcGEblZRIyI9GpTdpuIrBeRNSIyo035QSLyg7fuUYmByw2NMcxZU8Kry3bw0dpS3lu9k1eWbueHHdHxo9oZ1Y1OPl5binuPfLamrJ55G8sjE1QbpjM/+mtfC30gUWL7j+Xs+DHw5+v1R+eFMZrYM/ykyyMdQtQLaWIQkYHA8cCWNmVjgfOBccCJwD9ExO6tfgK4FhjpvZ0Yyvi6w/xNFZQ1tLQrX15Sz5bK+ghE1HXzN1UErNtc1YjLbYUxGj9MJ16/bkfo44gS24MkBYBt6wK/nwocaRlMu/WZTi2bWTA8xNFEp1AfMTwM3ILvaFUzgVeMMc3GmI3AemCqiPQDso0x842nLeZ54IwQx7fPNlc1Bqz7dlt1GCPZezXNwU/E1XZQH2qSM7QTSxms2sRIDtk9UoLW9x6YuCfkO6uuaEPHC4mNqb9+PPTBRKGQJQYROR3YbozZc2CXAqBt4+g2b1mB9/6e5f6e+1oRKRSRwtLSjudsDZWOziU0uyK8p91JyY7gH4O0JHvQ+lATERhxdscLfv/P0AcTYc5mF4/9OvgcAmffcEiYooldO38I3twmjiROeOJrMvsNDlNE0WWfeiWJyCdAXz9VtwO/A07wt5qfMhOkvH2hMU8CT4JnzudOBRsCHZ0CSU+O7A9qZx1UkMvcAM1JmckOUiOcGABsAw7Hyh0NhfcEXqgl/k+6/vvuT4PWX/3H6RQM7xmmaGKP2+3mvSsPgpbmoMsNP+VKUrN7hCmq6LNPicEYM91fuYhMAIYCy7w/ngOA70RkKp4jgYFtFh8A7PCWD/BTHtXG5mewstT/uYRpg2LjgzUwL51R9c2s3WM7Uh02ThwTPWPv2DLzsRACjqMv8d/7elVh4EHyRODAozvT7Ja45v3x4g6Tgtgd7Hfur8IUUXQKyTfJGPMDsOsXRUQ2AZONMWUi8jbwkoj8DeiP5yTzImOMW0RqRWQasBC4FHgsFPF1pwMG5OE2nh48rQQ4fGgPemcFbwuOJgcNyOPAglx21DTQ2GwxIDeNtOQo/KEdNAO2BGhKGdzJ+XtjWFKynZZm/3MuiC3qO/FFXOW6pR0uM/KsXyXc/At7Cvs33xizQkReA1YCLuB6Y0zrJ/064DkgDfjAe4t6kwbmMWlg7M+cZRNhQE50X0krQ2dgKldB7R5dWLOHYhtyXGSCCgNjDL8/72Uaap0Blzli5tgwRhS/1r72EGtfe4hBx5zNxGv+FOlwIiIsicEYM2SPx/cA7RqLjTGFwPhwxKRik4ggB92E5WqCjR8BFgw9FZsjKdKhhdRd579CRXHg7s95fTI4+5d60rkjjsxcXHVVnVp2y+dvkN53MKNOuzq0QUUhvfJZxSSbIxXbyJnYRp4Z90nB7bIoL6oLWH/2L6fx59cvxKZNSR067PbnurT8mtcfDU0gUU4Tg4pJVsVarFUvY638L1bZ8kiHE1LV5Q1B60u2xsb1MtEgZ/Bojnn4I2ypmZ1a3rjaX7yaCKLw7KJSgVktDbDgHnC3aVbZWYhlS4Epv8WWFhs9wboip2d60Poxk/1e7qMCyOoziJOf/IZ3L51IwB5uXrakxBzOXI8YVGxZ+rhvUmhlNcOSR8IeTjjYHTZye/vvFCACBxw+JLwBxQGbI5kZ/5xLcm7wkWjHXvTbMEUUXTQxqJhhLBfUB5ns3lmD1RyfF7n9+fULyMpL9SmzOWzc8+ZFCd+1cm+lZPfgxH98wekvraL/4TPb1Y84/VqGnXBhBCKLPG1KUrGjM5OruBohJf7GChIR7pt9CQB1dU4yMpI0IXQDYwybv36T5vIdDJ/5U8ac9QvsDv1Z1P+AihniSMXYU8Ad4MpVsSHp+eENKszcbjdNdU0kJQkpKfHdGyvUvv/vA2x6/9+7HpevWsyPs//FsFOuZPxFv4lgZJGniUHFDMvVBOl921/c1mrY6YjEZ+uoMYbbf/Ii1eW7R/MVG9z14rnkF+REMLLY9MUd51Gz4Xu/dRvee5bBx55DVr8h4Q0qimhiUDHB2j4f1r3qp0YgtQeMPBtbz/3CHle43H3+Kz5JATzTVNx9we4JinJ7p/Pbf51Bds/ovno90irXfx8wKbT69tGbOPreN8MUUfSJz90rFVcstytAUgDsydim3RnXSQGgLMgFbq2qdjZw25kvUVsZeI4QBevefqrDZZqrIz9zYSRpYgBcbhcPLLiXn35wBctKlkQ6HLWnHUHGznc3Y5qqwhZKJLQ4uzZR0qO/fi9EkcQJW8fDyDdXlfL+1VOp3LwmDAFFn4RvSvrrgr/w6pqXdz2+6sNLsYudj879gtzU3E49x4/ltSzasvvq02QbTB/Vm5y0xLw4ptv5u26hLSvwwHLxIKmLo9wWbYyd+cYjYdQZ11K86KMOl3M11PL1bWcw/orfM+z4C8IQWfRI6COGVWUrfZJCK7dxc8aszg3hvLyo2icpADgteH/1Tioa4vsHK2z6HRakUiCtV9hCiZSCkZ0fvddmT+ivdYdyh4yl54TDO7388n//MYTRRKeE/gTd9fXvAtbVtdRR1IkJ5n8org1Y9/WGsr2KS/mypWRDXoAhpUedH7c9kdr63TNn029YbqeWPeL0+D7f0h0Ou+0pDrnjeRwZ2Z7uXR1orq0KfVBRJKGbksoag88XXd5YTr/M/gHrLSv4nM4NLbEx53MssB1wLda2r2Hju+B2QnI2jL0cW27izFh2x3Pn7Lr/4w/F/O36d9otk9c7g3N+dWg4w4pZ+WOncPJTCwH46IZjaC4vDriszZ5YP5WJtbV7OGrgsbyz4a2A9cNzh+/T8+t1qd3LNuAIGHBEpMOICsMn9OWxz69izotL+PKt1aRlJnPp7UcxeHT0TMUaS0bP/BnfP3t3gFohKb1zo7HGi4RODLdMuy1gYpgx5CTSkoKPammz2bAD/idahEF5afsUn1LB2Ow2Zlx6EDMuPSjSocS8wceew7r3nqGxZGu7umm3PROBiCIr/htng0hLSmfOuV+RlZTlU37Bfpdwz1EPdOo5Zo7v57c8PcnGtMHxNwS0UvFIbDaOf/hjJt/8OPa0LMTuIHvIWE7+9xJ6T0i8mfHEmODjkUe7yZMnm8LCwkiHwfrSGlbtrCfZYePgQXnkaldVpVQUE5FvjTGT/dUldFNSdxqRn82I/Pgb1VOpWOKsreTjG47FcjbtKhNHCic/vQh7su6sdVZCNyUppeKHsdx8eN0RPkkBwLiaee8qPQ/TFXrEoMJmY3kdi7ZUYQGpDuHEkfmkpepe3N6yLIs7znmJ6lLfsZHOv/nwhLyWoWTpV2AF6AridlFXtIlM74ipzoZavvjtmTSV7574qf8hJzP5hofCEGn00yMGFRYfripigTcpADS5DG+t2sn2qg6Gu1AB/fa0F9olBYBXHpzLsq83hT+gCKvZui5offGSLwBwOZv58OqpPkkBYMf89/n05lNCFV5M0cSgQq7R2UJlk/89ua90XJ8ObVlbyp1nv8QNxzzNrWe8wNa1pVSXN9BQG3jIlRfv/zKMEUaHrILg1x31OeBIAJY9/fuAy9Tv2EBjReAL3RKFNiWpkFu4pSpovctt4dDxffx6+q5PWPL5xl2PayuauO/qtzocO6k+SNKIV30OPMozvIXxM+KAzU5WwTAASpYGT5ob57zM2PNuCkWIMUO/jSrkdGrivbN+WZFPUmhr+7rgR1rJqYm3z2ezO5jxj68Qu++Up2JP4pRnF+967EgP3nsws8/gkMQXSxLv06PCburAXN5aURKwXo8W/JvzcvBZxoI5/Zop3RhJ7EjJ6clpL3yPMQan00lKSkq7ZQ647HYW/vVnAZ9j4FFnhjLEmKDfSBVyaclJ9AiwB3vUsM4PJ51o3K69G4Rx5IF9Oebs8d0cTWwREb9JATxNTr2nHO+3burNTyB6iKtHDCo8ZuzXly0VdczfUoVlPEOGzBiVT2pyUscrJ6ijfzKWVYu2dXm9rWsTe1rKzph206M011VT+NhN1G37kYJDTmHshTdjs+m+MmhiUGE0qEcmg3ok1iiV+2LcIYMYNKYXW1Z3bV6P5oaWEEUUX1IyczjstmcjHUZU0vSoVJQSEW751xlcctsRJKV45im2O4SDjhsWdL3YHv1MRQM9YlAqiokI004aw7STxuwqe+fpDgaN1MzQIWMMCx/+BTsLP/OWCBOu+RNDjzkronFFC00MSsWYwWPyg9anpOt5m468c/kkaGk7ppLhh6fuoHT5PKbqsBjalKRUrJlw2KCg39wL/l/nJ7pPREWFn+6RFHYrnv8+rqaGMEcUfTQxKBVjRIS/vHEhNj8HBofPHMOU40eEP6gYsvzF4JNw7Vj0cZgiiV4hbUoSkRuAXwAu4D1jzC3e8tuAq/DMivlLY8xH3vKDgOeANOB94Fcm1mcSUioEcnpl8Nin19BQ18z674vJzktlyH59Ih1WTHCkBJ+yNylNe86FLDGIyDHATGB/Y0yziPT2lo8FzgfGAf2BT0RklDHGDTwBXAsswJMYTgQ+CFWMSsW69MwUNq0s4aPnl/mUj5nSnxse0pFC/Zn0i4f48pbA/5u+Bx0bxmiiUyibkq4D7jPGNAMYY3Z6y2cCrxhjmo0xG4H1wFQR6QdkG2Pme48SngfOCGF8SsW8b95d1S4pAKxevIOn7pwTgYiiX86AYeSMOMBv3QE//yuiF7mFNDGMAo4QkYUi8qWItA7eUgBsbbPcNm9Zgff+nuXtiMi1IlIoIoWlpaUhCF2p2PDSg3MD1i39chOWpS2x/hz1x1c48v63caRlgdjIHDCSU55bwuDDT410aFFhn5qSROQToK+fqtu9z50HTAOmAK+JyDDA30AkJkh5+0JjngSeBJg8ebJ+8lVC2ra+HDoYTqmhtpnMnNTwBBRjcgeO5ORnFkU6jKi0T4nBGDM9UJ2IXAfM8jYLLRIRC+iF50hgYJtFBwA7vOUD/JQrpfy475pZHS6TlqFTp6quC2VT0lvAsQAiMgpIBsqAt4HzRSRFRIYCI4FFxpgioFZEpolneMNLgdkhjE+pmGYCTG/cqu+gbOwObS9XXRfK7qrPAs+KyHLACVzmPXpYISKvASvxdGO93tsjCTwnrJ/D0131A7RHklJ7rWRbTaRDUDEqZInBGOMELg5Qdw9wj5/yQiCxB5JXqpsYC5oaWkjVITJUF+lxplIx6hcPndSJpbRvhuo6TQxKxaj9pgyg98CsgPU2m5CariefVddpYlAqht369E8C1l3/4IlhjETFE00MSsWwlLRkHvviKkYcuPtyorw+Gdw3+yLGTB4QZE2lAtP5GFRMsiw3lK2GhiLocxC2tLxIhxQxNpuNm/5+WqTDUHFEE4OKOdbqN6C4zVAQm97FEgccfi82u/bAUWpfaVOSiinWtq99k0Ir44Jv7gx/QErFIU0MKrb8+F7gOqsJ42oMXyxKxSlNDCq2GP9TMu7irA1PHErFMU0MKrYkdXCSObVHeOJQKo5pYlCxZez5gesy+iM27U+h1L7SxKBiii1vNEy4lnbTd2QNwzbllojEpFS80d0rFXNsPcfC0Q9HOgyl4pYeMSillPKhiUEppZQPTQxKKaV8aGJQSinlQxODUkopH5oYlFJK+dDEoJRSyocmBqWUUj40MSillPKhVz4rFQfefnoRH7+4DAyceNlETr1iSqRDUjFMjxiUimHO5hauP/IpPnp+GcYNxoIP/r2U6498CleLK9LhqRiliUGpGOV2Wdx0/HMB6+++8LXwBaPiiiYGpWLUn694I2h9ZUl9mCJR8UYTg1IxyO2y2Lm5OtJhRCVjWXz35O9576opzLvv6kiHE5M0MSgVg5xNHZ8/sCcl3te7eNlc3rl4HNu+eB13Yx1l33/D2xfux48fvRTp0GJK4n1ylIoDqRlJHS5z46OnhCGS6OFqamDR/df4rVvxnz+FOZrYpolBqRgkIhxxxpiA9WdeN4Vh4/qGMaLIKyr8JGj92tlPhimS2KeJQakYdf6vj2DS9KHtyqeeMIzpF0wMf0AR1lxTGbS+asPyMEUS+zQxKBXDrvr9dLJ7JfuULfp4A9cf+RR11U0Riioy8sdPC1o/9qLfhimS2KeJQakY9vy9n1NT5vRbd+vMF8IcTWTlDBqNI6uH/0p7Epm9C8IbUAzTxKBUDFv4wfqAdcaChrrmMEYTeSc98TW5Iyb6lKXlD+D0F76PTEAxSsdKUiqO1VQ0kp6ZEukwwkZsNo7848uRDiPmheyIQUQmisgCEVkqIoUiMrVN3W0isl5E1ojIjDblB4nID966R0VEQhWfUokgvyA70iGoGBTKpqQHgD8YYyYCv/c+RkTGAucD44ATgX+IiN27zhPAtcBI7+3EEManVNyrKtVhMVTXhTIxGKB1dyUH2OG9PxN4xRjTbIzZCKwHpopIPyDbGDPfGGOA54EzQhifUnHP4dDTiKrrQnmO4UbgIxF5EE8COtRbXgAsaLPcNm9Zi/f+nuXtiMi1eI4sGDRoULcGrVQsSU6z42x0B6zP6ZURxmhUvNin3QkR+URElvu5zQSuA24yxgwEbgKeaV3Nz1OZIOXtC4150hgz2RgzOT8/f182QamYNv3CCQHrrv3LcWGMRMWTfTpiMMZMD1QnIs8Dv/I+fB142nt/GzCwzaID8DQzbfPe37NcKeXHKw9/zddvrvZbd+szZzJwZK8wR6TiRSgbIHcAR3nvHwus895/GzhfRFJEZCiek8yLjDFFQK2ITPP2RroUmB3C+JSKaYGSAsDjv/kwjJGoeBPKcwzXAH8XEQfQhPecgDFmhYi8BqwEXMD1xpjWRtLrgOeANOAD700ptYfGev9XO7eqrWgMUyQqHoUsMRhj5gIHBai7B7jHT3khMD5UMSkVLxxJ9o4XUmovaV82pWJQUnLwxDB5+rAwRaLikSYGpWLUn2dd4Lc8OdXO5XceG+ZoVDzRxKBUjMrrlcnjX13D0Wfth80GKWl2bnzsFB7++Ep0NBm1L8RzkXHsmjx5siksLIx0GEopFVNE5FtjzGR/dXrEoJRSyocmBqWUUj40MSillPKhiUEppZQPTQxKKaV8aGJQSinlQxODUkopH5oYlFJK+dDEoJRSyocmBqWUUj40MSillPKhiUEppZQPTQxKKaV8aGJQSinlQxODUkopH5oYlFJK+dDEoJRSyocmBqWUUj40MSillPKhiUEppZQPTQxKKaV8aGJQSinlwxHpAJRSnWeMYe7sVcx6YiHOJheZOSlc/afpjDygf6RDU3FEjxiUihGWZbjv6lm88rdvcDa6wEBdVTOP3PAeHzy/JNLhqTiiiUGpGLFy4Va2ravwW/fu04VhjkbFM00MSsWIBR+uDVpftLEyTJGoeKeJQakYkZwS/JRgcqqeMlTdQxODUjHiiJn7BawTgZ79ssIYjYpnmhiUihFDx/XhsNNG+6372QMzwhyNimeaGJSKIRf+5kj+8PK5DB7Ti4ycFMZNG8gjcy5n/MGDIh2aiiPaKKlUjOlVkMMtT54Z6TBUHNunIwYROUdEVoiIJSKT96i7TUTWi8gaEZnRpvwgEfnBW/eoiIi3PEVEXvWWLxSRIfsSm1JKqb2zr01Jy4GfAF+1LRSRscD5wDjgROAfImL3Vj8BXAuM9N5O9JZfBVQaY0YADwP372NsSiml9sI+JQZjzCpjzBo/VTOBV4wxzcaYjcB6YKqI9AOyjTHzjTEGeB44o806//HefwM4rvVoQimlVPiE6uRzAbC1zeNt3rIC7/09y33WMca4gGqgZ4jiU0opFUCHJ59F5BOgr5+q240xswOt5qfMBCkPto6/mK7F0xzFoEHaG0MppbpTh4nBGDN9L553GzCwzeMBwA5v+QA/5W3X2SYiDiAH8DswjDHmSeBJABEpFZHNexFjZ/UCykL4/NFMtz0x6bYnhsGBKkLVXfVt4CUR+RvQH89J5kXGGLeI1IrINGAhcCnwWJt1LgPmA2cDn3nPQwRljMkPxQa0EpFCY8zkjpeMP7rtuu2JJpG3va19SgwiciaeH/Z84D0RWWqMmWGMWSEirwErARdwvTHG7V3tOuA5IA34wHsDeAZ4QUTW4zlSOH9fYlNKKbV3pBM75QktkfcgdNt12xNNIm97WzokRseejHQAEaTbnph02xOcHjEopZTyoUcMSimlfGhiUEop5SNuE4OI5IrIGyKyWkRWicghItJDROaIyDrv37w2y3fboH8icpn3NdaJyGVh3fDdMfjb/rtFZLuILPXeTm6zfFxsv4iMbrN9S0WkRkRuTIT3Psi2x/377n39m8QzqOdyEXlZRFIT4X0PCWNMXN7wjLt0tfd+MpALPADc6i27Fbjfe38ssAxIAYYCPwJ2b90i4BA8V2Z/AJzkLf858E/v/fOBV733ewAbvH/zvPfzomT77wZu9rNs3G2/NxY7UIznQp6Eee/9bHvcv+94htTZCKR5H78GXJ5o73t33eLyiEFEsoEj8VwbgTHGaYypwnegvv/gO4Bfdw36NwOYY4ypMMZUAnPYPYJsWATZ/kDiavvbOA740RizmQR579tou+2BxNu2O4A08YyckI5nVIVEe9+7RVwmBmAYUAr8W0SWiMjTIpIB9DHGFAF4//b2Lt+dg/4Feq5wCrT9AL8Qke9F5Nk2h9Xxtv2tzgde9t5PlPe+Vdtthzh/340x24EHgS1AEVBtjPmYxHvfu0W8JgYHMAl4whhzIFCP5zAykO4c9K/TgwGGUKDtfwIYDkzE8+V5yLt8vG0/IpIMnA683tGifsribdvj/n33JruZeJqF+gMZInJxsFX8lMXktodCvCaGbcA2Y8xC7+M38PxQlngPFfH+3dlm+b0d9A/xHfQv0HOFk9/tN8aUGGPcxhgLeAqY2mb5eNp+gJOA74wxJd7HifLewx7bniDv+3RgozGm1BjTAswCDiWx3vduE5eJwRhTDGwVkdHeouPwjNvUOlAf3r+tw4a/DZzv7XUwlN2D/hUBtSIyzduWeOke67Q+V9tB/z4CThCRPO9ezAnesrAJtP2tXxCvM/HMwAdxtv1eF+DblJIQ772Xz7YnyPu+BZgmIunemI8DVpFY73v3ifTZ71Dd8Bw2FwLfA2/h6S3QE/gUWOf926PN8rfj6ZmwBm8vBG/5ZDxfpB+B/2P31eKpeA7V1+PpxTCszTpXesvXA1dE0fa/APzgLXsb6BeP24/nxGM5kNOmLCHe+wDbnijv+x+A1d64X8DT4ygh3vfuvumQGEoppXzEZVOSUkqpvaeJQSmllA9NDEoppXxoYlBKKeVDE4NSSikfmhiUUkr50MSglFLKx/8HFYHy34os0BwAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#pojedynczy test dla jednego przejścia\n",
-    "#trzeba znalezc odpowiedni eps i minimal_epc dla każdego przejścia\n",
-    "#5000 wydaje sie byc spoko, znaleźć lepszy wzor na minimal_epc niż 1/3*najmniej liczny ean\n",
-    "proba = test9\n",
-    "X = np.asarray(proba[['SUM_PROXIMITY_KMS','TIME_MS']]).reshape(-1, 2)\n",
-    "eps = 5000\n",
-    "minimal_epc = np.floor(proba['EAN'].value_counts().min()/3)\n",
-    "\n",
-    "\n",
-    "db = DBSCAN(eps=eps, min_samples=minimal_epc, algorithm='auto')\n",
-    "db.fit(X)\n",
-    "y_pred = db.fit_predict(X)\n",
-    "print(\"min_epc: %d\" % minimal_epc)\n",
-    "print(\"Liczba obserwacji: %d\" % db.labels_.size)\n",
-    "print(\"Liczba outlierĂłw: %d\" % db.labels_[db.labels_ == -1].size)\n",
-    "plt.scatter(X[:,1], X[:,0],c=y_pred, cmap='Paired')\n",
-    "plt.title(\"DBSCAN\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "886e075b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5902805820461    37\n",
-       "5902805820454    14\n",
-       "5902805820447    12\n",
-       "Name: EAN, dtype: int64"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#ilość eanów w zbiorze outlierów\n",
-    "clusters = pd.DataFrame(db.labels_,columns = ['CLUSTER'],index=proba.index)\n",
-    "calosc = pd.concat([proba, clusters.reindex(proba.index)], axis=1)\n",
-    "calosc[calosc.CLUSTER == -1 ]['EAN'].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "4c1b5516",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-11"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#wszystkie pozostałe outliery - największy\n",
-    "# jeśli są poniżej np -5 to uznaje go za outlier\n",
-    "(calosc[calosc.CLUSTER == -1 ]['EAN'].value_counts().sum() - 2*calosc[calosc.CLUSTER == -1 ]['EAN'].value_counts()[0]) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "b361ea71",
-   "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>MEASUREMENT</th>\n",
-       "      <th>EAN</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>testowy</td>\n",
-       "      <td>5902805820461</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  MEASUREMENT            EAN\n",
-       "0     testowy  5902805820461"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "if (db.labels_[db.labels_ == -1].size != 0 ):\n",
-    "    if  ((calosc[calosc.CLUSTER == -1 ]['EAN'].value_counts().sum() - 2*calosc[calosc.CLUSTER == -1 ]['EAN'].value_counts()[0]) < 0):\n",
-    "        outliery = outliery.append({'MEASUREMENT': 'testowy', 'EAN': calosc[calosc.CLUSTER == -1 ]['EAN'].value_counts().index[0]}, ignore_index = True)\n",
-    "\n",
-    "outliery"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 980,
-   "id": "a734dc84",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "sns.scatterplot(x=\"TIME_MS\", y=\"SUM_PROXIMITY_KMS\", hue='EAN', data=test9)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a7752878",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "id": "4ae2e10a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "from sklearn.datasets import make_blobs\n",
-    "from sklearn.preprocessing import StandardScaler\n",
-    "import matplotlib.pyplot as plt\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "id": "a1d298ae",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Determine centroids\n",
-    "centers = [[0.5, 2], [-1, -1], [1.5, -1]]\n",
-    "#Create dataset\n",
-    "X, y = make_blobs(n_samples=400, centers=centers, \n",
-    "                  cluster_std=0.5, random_state=0)\n",
-    "#Normalize the values\n",
-    "X = StandardScaler().fit_transform(X)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "5d9ae636",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x1a0d8a12a00>"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,6))\n",
-    "plt.scatter(X[:,0], X[:,1], c=y, cmap='Paired')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "ff096992",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "DBSCAN(eps=0.4, min_samples=20)"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.cluster import DBSCAN\n",
-    "db = DBSCAN(eps=0.4, min_samples=20)\n",
-    "db.fit(X)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "55420591",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "3bac2b43",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 1.0, 'Clusters determined by DBSCAN')"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "y_pred = db.fit_predict(X)\n",
-    "plt.figure(figsize=(10,6))\n",
-    "plt.scatter(X[:,0], X[:,1],c=y_pred, cmap='Paired')\n",
-    "plt.title(\"Clusters determined by DBSCAN\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "id": "06d34876",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "18"
-      ]
-     },
-     "execution_count": 44,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "db.labels_[db.labels_ == -1].size\n"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/DBSCAN_17.01.ipynb b/DBSCAN_17.01.ipynb
deleted file mode 100644
index 6b19d1c7d35347a6222a17e123ca2e74506ff246..0000000000000000000000000000000000000000
--- a/DBSCAN_17.01.ipynb
+++ /dev/null
@@ -1,2012 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "b64577ef",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pyodbc\n",
-    "import pandas as pd\n",
-    "from sqlalchemy import create_engine\n",
-    "import urllib\n",
-    "import seaborn as sns\n",
-    "from matplotlib import pyplot as plt\n",
-    "import numpy as np\n",
-    "import random"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "003c9939",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "params = urllib.parse.quote_plus(\"DRIVER={ODBC Driver 17 for SQL Server};\"\n",
-    "                                 #\"SERVER=dbserver.mif.pg.gda.pl,1433;\"\n",
-    "                                 \"SERVER=127.0.0.1,1433;\"\n",
-    "                                 \"DATABASE=silkycoders;\"\n",
-    "                                 \"UID=;\"\n",
-    "                                 \"PWD=\")\n",
-    "\n",
-    "engine = create_engine(\"mssql+pyodbc:///?odbc_connect={}\".format(params))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "6f54c133",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "query = \"\"\"SELECT rfid.*, it.*, sub.*, cl.*, dep.*, br.*\n",
-    "    FROM rfid.Logs rfid \n",
-    "    JOIN rfid.EanEpc ean \n",
-    "    ON rfid.EPC = ean.EPC \n",
-    "    JOIN dw.Item it  \n",
-    "    ON ean.EAN = it.EAN \n",
-    "    JOIN dw.Subclass sub \n",
-    "    ON sub.SubclassID = it.SubclassID\n",
-    "    JOIN dw.Class cl\n",
-    "    ON sub.ClassID = cl.ClassID\n",
-    "    JOIN dw.Department dep\n",
-    "    ON dep.DepartmentID = cl.DepartmentID\n",
-    "    JOIN dw.Brand br\n",
-    "    ON dep.BrandID = br.BrandID\"\"\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "8dacf9c6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = pd.read_sql_query(query, engine)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "7115d11d",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def prepare_timestamp(df : pd.DataFrame):\n",
-    "    \n",
-    "    dt = df.sort_values(by=\"TIMESTAMP\").reset_index(drop=True)\n",
-    "    dt[\"HOUR\"] = dt.TIMESTAMP.astype('datetime64[ns]').dt.hour.astype(int)\n",
-    "    dt[\"MIN\"] = dt.TIMESTAMP.astype('datetime64[ns]').dt.minute.astype(int)\n",
-    "    dt[\"SEC\"] = dt.TIMESTAMP.astype('datetime64[ns]').dt.second.astype(int)\n",
-    "    dt[\"MICROSEC\"] = dt.TIMESTAMP.astype('datetime64[ns]').dt.microsecond.astype(int)\n",
-    "\n",
-    "    dt[\"MILISEC\"] = dt.MICROSEC/1000 + dt.SEC*1000 + dt.MIN*60000 + dt.HOUR*3600000\n",
-    "    dt[\"TIME_MS\"] = dt.MILISEC - dt.MILISEC[0]\n",
-    "    \n",
-    "    dt['TIME_PER_MEASUREMENT_MS'] = 0\n",
-    "    dt['NUMBER_OF_SIGNALS'] = 0\n",
-    "    dt['LENGTH_OF_MEASUREMENT'] = 0\n",
-    "    \n",
-    "    for m in dt.MEASUREMENT.unique():\n",
-    "        filtr = (dt.MEASUREMENT == m)\n",
-    "        dt.loc[filtr,'TIME_PER_MEASUREMENT_MS'] = dt[filtr].MILISEC - dt[filtr].MILISEC.iloc[0]\n",
-    "        dt.loc[filtr, \"NUMBER_OF_SIGNALS\"] = len(dt[filtr])\n",
-    "        dt.loc[filtr, 'LENGTH_OF_MEASUREMENT'] = dt[filtr].TIME_PER_MEASUREMENT_MS.max()\n",
-    "        \n",
-    "    dt[\"TIME_KMS\"] = np.floor(dt.TIME_MS/1000)    \n",
-    "    dt = dt.merge(dt.groupby(['EPC','TIME_KMS'])[\"PROXIMITY\"].max().reset_index(name=\"MAX_PROXIMITY_KMS\"), how=\"left\",\n",
-    "                                 on = ['EPC','TIME_KMS'])\n",
-    "    dt = dt.merge(dt.groupby(['EPC','TIME_KMS'])[\"PROXIMITY\"].sum().reset_index(name=\"SUM_PROXIMITY_KMS\"), how=\"left\",\n",
-    "                                 on = ['EPC','TIME_KMS'])\n",
-    "    return dt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "d9ce0df4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = prepare_timestamp(df)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "d0639b80",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "Int64Index: 502689 entries, 0 to 502688\n",
-      "Data columns (total 36 columns):\n",
-      " #   Column                   Non-Null Count   Dtype  \n",
-      "---  ------                   --------------   -----  \n",
-      " 0   EPC                      502689 non-null  object \n",
-      " 1   PROXIMITY                502689 non-null  float64\n",
-      " 2   TIMESTAMP                502689 non-null  object \n",
-      " 3   MEASUREMENT              502689 non-null  int64  \n",
-      " 4   ITEMID                   502689 non-null  int64  \n",
-      " 5   EAN                      502689 non-null  object \n",
-      " 6   StyleColorSize           502689 non-null  object \n",
-      " 7   StyleColor               502689 non-null  object \n",
-      " 8   Size                     502689 non-null  object \n",
-      " 9   SubclassID               502689 non-null  int64  \n",
-      " 10  ItemSeason               502689 non-null  object \n",
-      " 11  FashionLevel             502689 non-null  object \n",
-      " 12  SubclassID               502689 non-null  int64  \n",
-      " 13  SubclassName             502689 non-null  object \n",
-      " 14  ClassID                  502689 non-null  int64  \n",
-      " 15  ClassID                  502689 non-null  int64  \n",
-      " 16  ClassName                502689 non-null  object \n",
-      " 17  DepartmentID             502689 non-null  int64  \n",
-      " 18  DepartmentID             502689 non-null  int64  \n",
-      " 19  DepartmentName           502689 non-null  object \n",
-      " 20  BrandID                  502689 non-null  int64  \n",
-      " 21  BrandID                  502689 non-null  int64  \n",
-      " 22  BrandName                502689 non-null  object \n",
-      " 23  Active                   502689 non-null  bool   \n",
-      " 24  HOUR                     502689 non-null  int32  \n",
-      " 25  MIN                      502689 non-null  int32  \n",
-      " 26  SEC                      502689 non-null  int32  \n",
-      " 27  MICROSEC                 502689 non-null  int32  \n",
-      " 28  MILISEC                  502689 non-null  float64\n",
-      " 29  TIME_MS                  502689 non-null  float64\n",
-      " 30  TIME_PER_MEASUREMENT_MS  502689 non-null  float64\n",
-      " 31  NUMBER_OF_SIGNALS        502689 non-null  int64  \n",
-      " 32  LENGTH_OF_MEASUREMENT    502689 non-null  int64  \n",
-      " 33  TIME_KMS                 502689 non-null  float64\n",
-      " 34  MAX_PROXIMITY_KMS        502689 non-null  float64\n",
-      " 35  SUM_PROXIMITY_KMS        502689 non-null  float64\n",
-      "dtypes: bool(1), float64(7), int32(4), int64(12), object(12)\n",
-      "memory usage: 130.9+ MB\n"
-     ]
-    }
-   ],
-   "source": [
-    "df.info()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "8947ace6",
-   "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>PROXIMITY</th>\n",
-       "      <th>MEASUREMENT</th>\n",
-       "      <th>ITEMID</th>\n",
-       "      <th>SubclassID</th>\n",
-       "      <th>SubclassID</th>\n",
-       "      <th>ClassID</th>\n",
-       "      <th>ClassID</th>\n",
-       "      <th>DepartmentID</th>\n",
-       "      <th>DepartmentID</th>\n",
-       "      <th>BrandID</th>\n",
-       "      <th>...</th>\n",
-       "      <th>SEC</th>\n",
-       "      <th>MICROSEC</th>\n",
-       "      <th>MILISEC</th>\n",
-       "      <th>TIME_MS</th>\n",
-       "      <th>TIME_PER_MEASUREMENT_MS</th>\n",
-       "      <th>NUMBER_OF_SIGNALS</th>\n",
-       "      <th>LENGTH_OF_MEASUREMENT</th>\n",
-       "      <th>TIME_KMS</th>\n",
-       "      <th>MAX_PROXIMITY_KMS</th>\n",
-       "      <th>SUM_PROXIMITY_KMS</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>5.026890e+05</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>5.026890e+05</td>\n",
-       "      <td>5.026890e+05</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.00000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "      <td>502689.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>-75.406017</td>\n",
-       "      <td>23.412382</td>\n",
-       "      <td>2.169862e+06</td>\n",
-       "      <td>83.920704</td>\n",
-       "      <td>83.920704</td>\n",
-       "      <td>18.231477</td>\n",
-       "      <td>18.231477</td>\n",
-       "      <td>2.609574</td>\n",
-       "      <td>2.609574</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>29.193547</td>\n",
-       "      <td>499773.110213</td>\n",
-       "      <td>3.721192e+07</td>\n",
-       "      <td>2.018186e+06</td>\n",
-       "      <td>100132.210719</td>\n",
-       "      <td>15383.906986</td>\n",
-       "      <td>199835.398777</td>\n",
-       "      <td>2017.68607</td>\n",
-       "      <td>-72.497318</td>\n",
-       "      <td>-398.108291</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>5.698062</td>\n",
-       "      <td>12.175284</td>\n",
-       "      <td>7.798483e+04</td>\n",
-       "      <td>142.489244</td>\n",
-       "      <td>142.489244</td>\n",
-       "      <td>8.844056</td>\n",
-       "      <td>8.844056</td>\n",
-       "      <td>0.937828</td>\n",
-       "      <td>0.937828</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>17.223297</td>\n",
-       "      <td>288469.414710</td>\n",
-       "      <td>1.121487e+06</td>\n",
-       "      <td>1.121487e+06</td>\n",
-       "      <td>81859.831696</td>\n",
-       "      <td>8217.121271</td>\n",
-       "      <td>101049.072703</td>\n",
-       "      <td>1121.48684</td>\n",
-       "      <td>5.893956</td>\n",
-       "      <td>262.167663</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>-110.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2.028742e+06</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>3.519374e+07</td>\n",
-       "      <td>0.000000e+00</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>4597.000000</td>\n",
-       "      <td>53538.000000</td>\n",
-       "      <td>0.00000</td>\n",
-       "      <td>-100.500000</td>\n",
-       "      <td>-2629.400000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>-79.900000</td>\n",
-       "      <td>13.000000</td>\n",
-       "      <td>2.113407e+06</td>\n",
-       "      <td>11.000000</td>\n",
-       "      <td>11.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>10.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>14.000000</td>\n",
-       "      <td>250000.000000</td>\n",
-       "      <td>3.624898e+07</td>\n",
-       "      <td>1.055248e+06</td>\n",
-       "      <td>38108.000000</td>\n",
-       "      <td>8533.000000</td>\n",
-       "      <td>127122.000000</td>\n",
-       "      <td>1055.00000</td>\n",
-       "      <td>-76.400000</td>\n",
-       "      <td>-515.900000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>-75.700000</td>\n",
-       "      <td>24.000000</td>\n",
-       "      <td>2.155604e+06</td>\n",
-       "      <td>82.000000</td>\n",
-       "      <td>82.000000</td>\n",
-       "      <td>16.000000</td>\n",
-       "      <td>16.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>2.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>29.000000</td>\n",
-       "      <td>500000.000000</td>\n",
-       "      <td>3.719645e+07</td>\n",
-       "      <td>2.002711e+06</td>\n",
-       "      <td>78477.000000</td>\n",
-       "      <td>13321.000000</td>\n",
-       "      <td>176026.000000</td>\n",
-       "      <td>2002.00000</td>\n",
-       "      <td>-72.900000</td>\n",
-       "      <td>-342.900000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>-71.900000</td>\n",
-       "      <td>33.000000</td>\n",
-       "      <td>2.226340e+06</td>\n",
-       "      <td>82.000000</td>\n",
-       "      <td>82.000000</td>\n",
-       "      <td>25.000000</td>\n",
-       "      <td>25.000000</td>\n",
-       "      <td>3.000000</td>\n",
-       "      <td>3.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>44.000000</td>\n",
-       "      <td>749000.000000</td>\n",
-       "      <td>3.815973e+07</td>\n",
-       "      <td>2.965991e+06</td>\n",
-       "      <td>139431.000000</td>\n",
-       "      <td>22217.000000</td>\n",
-       "      <td>265127.000000</td>\n",
-       "      <td>2965.00000</td>\n",
-       "      <td>-68.400000</td>\n",
-       "      <td>-225.700000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>-38.900000</td>\n",
-       "      <td>43.000000</td>\n",
-       "      <td>2.304122e+06</td>\n",
-       "      <td>630.000000</td>\n",
-       "      <td>630.000000</td>\n",
-       "      <td>41.000000</td>\n",
-       "      <td>41.000000</td>\n",
-       "      <td>6.000000</td>\n",
-       "      <td>6.000000</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>...</td>\n",
-       "      <td>59.000000</td>\n",
-       "      <td>999000.000000</td>\n",
-       "      <td>3.912875e+07</td>\n",
-       "      <td>3.935013e+06</td>\n",
-       "      <td>435771.000000</td>\n",
-       "      <td>35350.000000</td>\n",
-       "      <td>435771.000000</td>\n",
-       "      <td>3935.00000</td>\n",
-       "      <td>-38.900000</td>\n",
-       "      <td>-52.300000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>8 rows × 23 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           PROXIMITY    MEASUREMENT        ITEMID     SubclassID  \\\n",
-       "count  502689.000000  502689.000000  5.026890e+05  502689.000000   \n",
-       "mean      -75.406017      23.412382  2.169862e+06      83.920704   \n",
-       "std         5.698062      12.175284  7.798483e+04     142.489244   \n",
-       "min      -110.000000       1.000000  2.028742e+06      10.000000   \n",
-       "25%       -79.900000      13.000000  2.113407e+06      11.000000   \n",
-       "50%       -75.700000      24.000000  2.155604e+06      82.000000   \n",
-       "75%       -71.900000      33.000000  2.226340e+06      82.000000   \n",
-       "max       -38.900000      43.000000  2.304122e+06     630.000000   \n",
-       "\n",
-       "          SubclassID        ClassID        ClassID   DepartmentID  \\\n",
-       "count  502689.000000  502689.000000  502689.000000  502689.000000   \n",
-       "mean       83.920704      18.231477      18.231477       2.609574   \n",
-       "std       142.489244       8.844056       8.844056       0.937828   \n",
-       "min        10.000000      10.000000      10.000000       2.000000   \n",
-       "25%        11.000000      10.000000      10.000000       2.000000   \n",
-       "50%        82.000000      16.000000      16.000000       2.000000   \n",
-       "75%        82.000000      25.000000      25.000000       3.000000   \n",
-       "max       630.000000      41.000000      41.000000       6.000000   \n",
-       "\n",
-       "        DepartmentID   BrandID  ...            SEC       MICROSEC  \\\n",
-       "count  502689.000000  502689.0  ...  502689.000000  502689.000000   \n",
-       "mean        2.609574       1.0  ...      29.193547  499773.110213   \n",
-       "std         0.937828       0.0  ...      17.223297  288469.414710   \n",
-       "min         2.000000       1.0  ...       0.000000       0.000000   \n",
-       "25%         2.000000       1.0  ...      14.000000  250000.000000   \n",
-       "50%         2.000000       1.0  ...      29.000000  500000.000000   \n",
-       "75%         3.000000       1.0  ...      44.000000  749000.000000   \n",
-       "max         6.000000       1.0  ...      59.000000  999000.000000   \n",
-       "\n",
-       "            MILISEC       TIME_MS  TIME_PER_MEASUREMENT_MS  NUMBER_OF_SIGNALS  \\\n",
-       "count  5.026890e+05  5.026890e+05            502689.000000      502689.000000   \n",
-       "mean   3.721192e+07  2.018186e+06            100132.210719       15383.906986   \n",
-       "std    1.121487e+06  1.121487e+06             81859.831696        8217.121271   \n",
-       "min    3.519374e+07  0.000000e+00                 0.000000        4597.000000   \n",
-       "25%    3.624898e+07  1.055248e+06             38108.000000        8533.000000   \n",
-       "50%    3.719645e+07  2.002711e+06             78477.000000       13321.000000   \n",
-       "75%    3.815973e+07  2.965991e+06            139431.000000       22217.000000   \n",
-       "max    3.912875e+07  3.935013e+06            435771.000000       35350.000000   \n",
-       "\n",
-       "       LENGTH_OF_MEASUREMENT      TIME_KMS  MAX_PROXIMITY_KMS  \\\n",
-       "count          502689.000000  502689.00000      502689.000000   \n",
-       "mean           199835.398777    2017.68607         -72.497318   \n",
-       "std            101049.072703    1121.48684           5.893956   \n",
-       "min             53538.000000       0.00000        -100.500000   \n",
-       "25%            127122.000000    1055.00000         -76.400000   \n",
-       "50%            176026.000000    2002.00000         -72.900000   \n",
-       "75%            265127.000000    2965.00000         -68.400000   \n",
-       "max            435771.000000    3935.00000         -38.900000   \n",
-       "\n",
-       "       SUM_PROXIMITY_KMS  \n",
-       "count      502689.000000  \n",
-       "mean         -398.108291  \n",
-       "std           262.167663  \n",
-       "min         -2629.400000  \n",
-       "25%          -515.900000  \n",
-       "50%          -342.900000  \n",
-       "75%          -225.700000  \n",
-       "max           -52.300000  \n",
-       "\n",
-       "[8 rows x 23 columns]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "118205d4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array(['RH267-85J', 'RS483-99X', 'SB281-90M', 'RJ369-87X', 'RM119-93X',\n",
-       "       'RV167-MLC', 'RV462-87X', 'QJ677-33X', 'RH797-00X', 'RH267-55J',\n",
-       "       'SL171-99X', 'SO133-09M', 'RB254-00X', 'SF078-MLC', 'QY337-00X',\n",
-       "       'SP095-59X', 'RN633-00X', 'RH267-59J', 'RV167-87X', 'RK485-99X',\n",
-       "       'RJ365-09M', 'RH797-59X', 'SP090-90X', 'RH797-99X', 'RJ371-59M',\n",
-       "       'RV462-99X', 'RH797-81X', 'QZ555-20X', 'RJ371-53M', 'RS054-99X'],\n",
-       "      dtype=object)"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.StyleColor.unique()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "a6409b89",
-   "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>EPC</th>\n",
-       "      <th>PROXIMITY</th>\n",
-       "      <th>TIMESTAMP</th>\n",
-       "      <th>MEASUREMENT</th>\n",
-       "      <th>ITEMID</th>\n",
-       "      <th>EAN</th>\n",
-       "      <th>StyleColorSize</th>\n",
-       "      <th>StyleColor</th>\n",
-       "      <th>Size</th>\n",
-       "      <th>SubclassID</th>\n",
-       "      <th>...</th>\n",
-       "      <th>SEC</th>\n",
-       "      <th>MICROSEC</th>\n",
-       "      <th>MILISEC</th>\n",
-       "      <th>TIME_MS</th>\n",
-       "      <th>TIME_PER_MEASUREMENT_MS</th>\n",
-       "      <th>NUMBER_OF_SIGNALS</th>\n",
-       "      <th>LENGTH_OF_MEASUREMENT</th>\n",
-       "      <th>TIME_KMS</th>\n",
-       "      <th>MAX_PROXIMITY_KMS</th>\n",
-       "      <th>SUM_PROXIMITY_KMS</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>0 rows × 36 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [EPC, PROXIMITY, TIMESTAMP, MEASUREMENT, ITEMID, EAN, StyleColorSize, StyleColor, Size, SubclassID, ItemSeason, FashionLevel, SubclassID, SubclassName, ClassID, ClassID, ClassName, DepartmentID, DepartmentID, DepartmentName, BrandID, BrandID, BrandName, Active, HOUR, MIN, SEC, MICROSEC, MILISEC, TIME_MS, TIME_PER_MEASUREMENT_MS, NUMBER_OF_SIGNALS, LENGTH_OF_MEASUREMENT, TIME_KMS, MAX_PROXIMITY_KMS, SUM_PROXIMITY_KMS]\n",
-       "Index: []\n",
-       "\n",
-       "[0 rows x 36 columns]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#do testow samego modelu\n",
-    "test = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') & ((df.MEASUREMENT == 2) | (df.MEASUREMENT == 3) | (df.MEASUREMENT == 4) | (df.MEASUREMENT == 26) | (df.MEASUREMENT == 28) ) ]\n",
-    "\n",
-    "test1 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') & ( (df.MEASUREMENT == 1) ) ]\n",
-    "test2 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') & ( (df.MEASUREMENT == 2) ) ]\n",
-    "test3 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') & ( (df.MEASUREMENT == 3) ) ]\n",
-    "test4 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') & ( (df.MEASUREMENT == 4) ) ]\n",
-    "test5 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 5) ]\n",
-    "test6 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 6) ]\n",
-    "test9 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 9) ]\n",
-    "test12 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 12) ]\n",
-    "test22 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 22) ]\n",
-    "test24 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 24) ]\n",
-    "test25 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 25) ]\n",
-    "test21 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 21) ]\n",
-    "test29 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 29) ]\n",
-    "test28 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & (df.StyleColor == 'RH797-81X') &  (df.MEASUREMENT == 28) ]\n",
-    "\n",
-    "test29"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "eb47248a",
-   "metadata": {},
-   "outputs": [
-    {
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-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>EPC</th>\n",
-       "      <th>PROXIMITY</th>\n",
-       "      <th>TIMESTAMP</th>\n",
-       "      <th>MEASUREMENT</th>\n",
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-       "      <th>TIME_KMS</th>\n",
-       "      <th>MAX_PROXIMITY_KMS</th>\n",
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-       "    <tr>\n",
-       "      <th>46768</th>\n",
-       "      <td>3035684754501F8000B5B6E6</td>\n",
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-       "      <td>2021-10-26T09:54:09.337</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2155609</td>\n",
-       "      <td>5902805820461</td>\n",
-       "      <td>RH797-81X-S</td>\n",
-       "      <td>RH797-81X</td>\n",
-       "      <td>S</td>\n",
-       "      <td>82</td>\n",
-       "      <td>...</td>\n",
-       "      <td>9</td>\n",
-       "      <td>337000</td>\n",
-       "      <td>35649337.0</td>\n",
-       "      <td>455602.0</td>\n",
-       "      <td>17262.0</td>\n",
-       "      <td>5789</td>\n",
-       "      <td>69760</td>\n",
-       "      <td>455.0</td>\n",
-       "      <td>-83.2</td>\n",
-       "      <td>-83.2</td>\n",
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-       "    <tr>\n",
-       "      <th>47651</th>\n",
-       "      <td>3035684754501F8000B5B6E6</td>\n",
-       "      <td>-81.7</td>\n",
-       "      <td>2021-10-26T09:54:14.502</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2155609</td>\n",
-       "      <td>5902805820461</td>\n",
-       "      <td>RH797-81X-S</td>\n",
-       "      <td>RH797-81X</td>\n",
-       "      <td>S</td>\n",
-       "      <td>82</td>\n",
-       "      <td>...</td>\n",
-       "      <td>14</td>\n",
-       "      <td>502000</td>\n",
-       "      <td>35654502.0</td>\n",
-       "      <td>460767.0</td>\n",
-       "      <td>22427.0</td>\n",
-       "      <td>5789</td>\n",
-       "      <td>69760</td>\n",
-       "      <td>460.0</td>\n",
-       "      <td>-78.0</td>\n",
-       "      <td>-244.6</td>\n",
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-       "    <tr>\n",
-       "      <th>47669</th>\n",
-       "      <td>3035684754501F0000B5B614</td>\n",
-       "      <td>-82.4</td>\n",
-       "      <td>2021-10-26T09:54:14.563</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2155607</td>\n",
-       "      <td>5902805820447</td>\n",
-       "      <td>RH797-81X-L</td>\n",
-       "      <td>RH797-81X</td>\n",
-       "      <td>L</td>\n",
-       "      <td>82</td>\n",
-       "      <td>...</td>\n",
-       "      <td>14</td>\n",
-       "      <td>563000</td>\n",
-       "      <td>35654563.0</td>\n",
-       "      <td>460828.0</td>\n",
-       "      <td>22488.0</td>\n",
-       "      <td>5789</td>\n",
-       "      <td>69760</td>\n",
-       "      <td>460.0</td>\n",
-       "      <td>-82.4</td>\n",
-       "      <td>-82.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47705</th>\n",
-       "      <td>3035684754501F8000B5B6E6</td>\n",
-       "      <td>-78.0</td>\n",
-       "      <td>2021-10-26T09:54:14.690</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2155609</td>\n",
-       "      <td>5902805820461</td>\n",
-       "      <td>RH797-81X-S</td>\n",
-       "      <td>RH797-81X</td>\n",
-       "      <td>S</td>\n",
-       "      <td>82</td>\n",
-       "      <td>...</td>\n",
-       "      <td>14</td>\n",
-       "      <td>690000</td>\n",
-       "      <td>35654690.0</td>\n",
-       "      <td>460955.0</td>\n",
-       "      <td>22615.0</td>\n",
-       "      <td>5789</td>\n",
-       "      <td>69760</td>\n",
-       "      <td>460.0</td>\n",
-       "      <td>-78.0</td>\n",
-       "      <td>-244.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47711</th>\n",
-       "      <td>3035684754501F0000B5B614</td>\n",
-       "      <td>-78.9</td>\n",
-       "      <td>2021-10-26T09:54:14.754</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2155607</td>\n",
-       "      <td>5902805820447</td>\n",
-       "      <td>RH797-81X-L</td>\n",
-       "      <td>RH797-81X</td>\n",
-       "      <td>L</td>\n",
-       "      <td>82</td>\n",
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-       "      <td>14</td>\n",
-       "      <td>754000</td>\n",
-       "      <td>35654754.0</td>\n",
-       "      <td>461019.0</td>\n",
-       "      <td>22679.0</td>\n",
-       "      <td>5789</td>\n",
-       "      <td>69760</td>\n",
-       "      <td>461.0</td>\n",
-       "      <td>-75.7</td>\n",
-       "      <td>-154.6</td>\n",
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-       "    <tr>\n",
-       "      <th>...</th>\n",
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-       "      <th>55156</th>\n",
-       "      <td>3035684754501F4000B5B6E5</td>\n",
-       "      <td>-60.8</td>\n",
-       "      <td>2021-10-26T09:55:01.647</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2155608</td>\n",
-       "      <td>5902805820454</td>\n",
-       "      <td>RH797-81X-M</td>\n",
-       "      <td>RH797-81X</td>\n",
-       "      <td>M</td>\n",
-       "      <td>82</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>647000</td>\n",
-       "      <td>35701647.0</td>\n",
-       "      <td>507912.0</td>\n",
-       "      <td>69572.0</td>\n",
-       "      <td>5789</td>\n",
-       "      <td>69760</td>\n",
-       "      <td>507.0</td>\n",
-       "      <td>-60.8</td>\n",
-       "      <td>-687.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>55158</th>\n",
-       "      <td>3035684754501F8000B5B6E6</td>\n",
-       "      <td>-69.0</td>\n",
-       "      <td>2021-10-26T09:55:01.653</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2155609</td>\n",
-       "      <td>5902805820461</td>\n",
-       "      <td>RH797-81X-S</td>\n",
-       "      <td>RH797-81X</td>\n",
-       "      <td>S</td>\n",
-       "      <td>82</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>653000</td>\n",
-       "      <td>35701653.0</td>\n",
-       "      <td>507918.0</td>\n",
-       "      <td>69578.0</td>\n",
-       "      <td>5789</td>\n",
-       "      <td>69760</td>\n",
-       "      <td>507.0</td>\n",
-       "      <td>-67.9</td>\n",
-       "      <td>-511.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>55160</th>\n",
-       "      <td>3035684754501F0000B5B614</td>\n",
-       "      <td>-75.7</td>\n",
-       "      <td>2021-10-26T09:55:01.698</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2155607</td>\n",
-       "      <td>5902805820447</td>\n",
-       "      <td>RH797-81X-L</td>\n",
-       "      <td>RH797-81X</td>\n",
-       "      <td>L</td>\n",
-       "      <td>82</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>698000</td>\n",
-       "      <td>35701698.0</td>\n",
-       "      <td>507963.0</td>\n",
-       "      <td>69623.0</td>\n",
-       "      <td>5789</td>\n",
-       "      <td>69760</td>\n",
-       "      <td>507.0</td>\n",
-       "      <td>-75.7</td>\n",
-       "      <td>-248.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>55171</th>\n",
-       "      <td>3035684754501F4000B5B6E5</td>\n",
-       "      <td>-59.1</td>\n",
-       "      <td>2021-10-26T09:55:01.774</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2155608</td>\n",
-       "      <td>5902805820454</td>\n",
-       "      <td>RH797-81X-M</td>\n",
-       "      <td>RH797-81X</td>\n",
-       "      <td>M</td>\n",
-       "      <td>82</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>774000</td>\n",
-       "      <td>35701774.0</td>\n",
-       "      <td>508039.0</td>\n",
-       "      <td>69699.0</td>\n",
-       "      <td>5789</td>\n",
-       "      <td>69760</td>\n",
-       "      <td>508.0</td>\n",
-       "      <td>-59.1</td>\n",
-       "      <td>-59.1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>55175</th>\n",
-       "      <td>3035684754501F8000B5B6E6</td>\n",
-       "      <td>-67.9</td>\n",
-       "      <td>2021-10-26T09:55:01.829</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2155609</td>\n",
-       "      <td>5902805820461</td>\n",
-       "      <td>RH797-81X-S</td>\n",
-       "      <td>RH797-81X</td>\n",
-       "      <td>S</td>\n",
-       "      <td>82</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>829000</td>\n",
-       "      <td>35701829.0</td>\n",
-       "      <td>508094.0</td>\n",
-       "      <td>69754.0</td>\n",
-       "      <td>5789</td>\n",
-       "      <td>69760</td>\n",
-       "      <td>508.0</td>\n",
-       "      <td>-67.9</td>\n",
-       "      <td>-67.9</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>237 rows × 36 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                            EPC  PROXIMITY                TIMESTAMP  \\\n",
-       "46768  3035684754501F8000B5B6E6      -83.2  2021-10-26T09:54:09.337   \n",
-       "47651  3035684754501F8000B5B6E6      -81.7  2021-10-26T09:54:14.502   \n",
-       "47669  3035684754501F0000B5B614      -82.4  2021-10-26T09:54:14.563   \n",
-       "47705  3035684754501F8000B5B6E6      -78.0  2021-10-26T09:54:14.690   \n",
-       "47711  3035684754501F0000B5B614      -78.9  2021-10-26T09:54:14.754   \n",
-       "...                         ...        ...                      ...   \n",
-       "55156  3035684754501F4000B5B6E5      -60.8  2021-10-26T09:55:01.647   \n",
-       "55158  3035684754501F8000B5B6E6      -69.0  2021-10-26T09:55:01.653   \n",
-       "55160  3035684754501F0000B5B614      -75.7  2021-10-26T09:55:01.698   \n",
-       "55171  3035684754501F4000B5B6E5      -59.1  2021-10-26T09:55:01.774   \n",
-       "55175  3035684754501F8000B5B6E6      -67.9  2021-10-26T09:55:01.829   \n",
-       "\n",
-       "       MEASUREMENT   ITEMID            EAN StyleColorSize StyleColor Size  \\\n",
-       "46768            6  2155609  5902805820461    RH797-81X-S  RH797-81X    S   \n",
-       "47651            6  2155609  5902805820461    RH797-81X-S  RH797-81X    S   \n",
-       "47669            6  2155607  5902805820447    RH797-81X-L  RH797-81X    L   \n",
-       "47705            6  2155609  5902805820461    RH797-81X-S  RH797-81X    S   \n",
-       "47711            6  2155607  5902805820447    RH797-81X-L  RH797-81X    L   \n",
-       "...            ...      ...            ...            ...        ...  ...   \n",
-       "55156            6  2155608  5902805820454    RH797-81X-M  RH797-81X    M   \n",
-       "55158            6  2155609  5902805820461    RH797-81X-S  RH797-81X    S   \n",
-       "55160            6  2155607  5902805820447    RH797-81X-L  RH797-81X    L   \n",
-       "55171            6  2155608  5902805820454    RH797-81X-M  RH797-81X    M   \n",
-       "55175            6  2155609  5902805820461    RH797-81X-S  RH797-81X    S   \n",
-       "\n",
-       "       SubclassID  ... SEC MICROSEC     MILISEC   TIME_MS  \\\n",
-       "46768          82  ...   9   337000  35649337.0  455602.0   \n",
-       "47651          82  ...  14   502000  35654502.0  460767.0   \n",
-       "47669          82  ...  14   563000  35654563.0  460828.0   \n",
-       "47705          82  ...  14   690000  35654690.0  460955.0   \n",
-       "47711          82  ...  14   754000  35654754.0  461019.0   \n",
-       "...           ...  ...  ..      ...         ...       ...   \n",
-       "55156          82  ...   1   647000  35701647.0  507912.0   \n",
-       "55158          82  ...   1   653000  35701653.0  507918.0   \n",
-       "55160          82  ...   1   698000  35701698.0  507963.0   \n",
-       "55171          82  ...   1   774000  35701774.0  508039.0   \n",
-       "55175          82  ...   1   829000  35701829.0  508094.0   \n",
-       "\n",
-       "       TIME_PER_MEASUREMENT_MS  NUMBER_OF_SIGNALS LENGTH_OF_MEASUREMENT  \\\n",
-       "46768                  17262.0               5789                 69760   \n",
-       "47651                  22427.0               5789                 69760   \n",
-       "47669                  22488.0               5789                 69760   \n",
-       "47705                  22615.0               5789                 69760   \n",
-       "47711                  22679.0               5789                 69760   \n",
-       "...                        ...                ...                   ...   \n",
-       "55156                  69572.0               5789                 69760   \n",
-       "55158                  69578.0               5789                 69760   \n",
-       "55160                  69623.0               5789                 69760   \n",
-       "55171                  69699.0               5789                 69760   \n",
-       "55175                  69754.0               5789                 69760   \n",
-       "\n",
-       "       TIME_KMS  MAX_PROXIMITY_KMS SUM_PROXIMITY_KMS  \n",
-       "46768     455.0              -83.2             -83.2  \n",
-       "47651     460.0              -78.0            -244.6  \n",
-       "47669     460.0              -82.4             -82.4  \n",
-       "47705     460.0              -78.0            -244.6  \n",
-       "47711     461.0              -75.7            -154.6  \n",
-       "...         ...                ...               ...  \n",
-       "55156     507.0              -60.8            -687.6  \n",
-       "55158     507.0              -67.9            -511.7  \n",
-       "55160     507.0              -75.7            -248.7  \n",
-       "55171     508.0              -59.1             -59.1  \n",
-       "55175     508.0              -67.9             -67.9  \n",
-       "\n",
-       "[237 rows x 36 columns]"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test6"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "0efd09a8",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,8))\n",
-    "sns.scatterplot(x=\"TIMESTAMP\", y=\"PROXIMITY\", hue='EAN', data=test6)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 36,
-   "id": "77ce4d74",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 576x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "\n",
-    "sns.lineplot(x=\"TIME_SE\", y=\"SUM_PROXIMITY_KMS\", hue='EAN', data=test[test.MEASUREMENT == 3])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "52b1f7a3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 576x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "\n",
-    "sns.scatterplot(x=\"TIME_MS\", y=\"MAX_PROXIMITY_KMS\", hue='EAN', data=test[test.MEASUREMENT == 3])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "cf36bdef",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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a1W2r+e+0H+JrMNC0o4e23S4A4pIsfOKWuaTlOaN8B0IIcewI9vbS/O1v41m7FgBjnIPGW24dOl7/pS+T+9vfkvm976K0xhAfzxVt/Xzt8TXceFoJP39lG/7B3pNbziylNMOJxZaMZdq0w4rDHm+mZEEGJQsyhpWn5saTmht/dDcZRZK0TSGWwgKc55+P68W9rW3mvDxss2ZFMaqpTZnN7MgIcv2a/+SEi+ZRaJmHjh9g97pfcFZiGZ+a+b98/EQ7pUuyhxI2gIEePxuXNXLa1dMxGGWUgBBifAVCAVoGWrAYLWTGZdI60Io/5CcrLguz0XzoE8SowO7dQwmbOTcX3/YdI+p0/ul+4k85GYM10i05PdPJn687gd2dAzx8/Qn0egJkJdgoy3QSZ5U0ZV/yboyX7t3Q1wgo8A9AYi6kloFx7G+xJTub1C/dgG3WLAbeexfb7EoSLrwAS17exMV9DHi77m0AVnSuZQVruWnOTZxnz2Hx7rV8ZDKReXIWTbV9I17XVN1DwB/CapekTYio8vRAXxPYEiAxtj7vtNasb+globuF9qCRjxv7mVli5O3OJ/l37b9YnLWYM/PP5Ldrf4vL7+Likou5cc6N5Dlj6z7HSln2rnkW9vlQdvuIOsakpBFdmzlJdnKSRtYVw0nSNh7ql8O//gvKL4Z37oFQAIxmuPQPUHE5HKDffTT28nLs5eWkfflLExjwsSXBOnw9thx7GnNW/5P2OTfxXk0/OXEWkrNGfhgUzkvHYpMfASGiqn4FLL8fNj8D8Zlwzg9h1sVgio0FT9fU9VCzqYasJAdf+NdOClPtLE74gBd2PQfAouxF/OTjnwzVf6b6GRItidxedTsGdez9wWgpKCDpqqvoeeKJwYVwc1EOB9rtjlQwGEj94hcjM0LFYTv2vmMmm6cH/v1fMON8ePfnkYQNIv997mborI5qeOMpFArT1+nB1eVFh6fOOLvT8k7DYXIMPff2t+FoXo810Me7u9txJFp5u7OP/BMzUYNTvjNnJlG0MEPWcRMimnobYMWfYMOTkc/M3gZ4+kuRP4RjxKMf7+aUDBN/Xt9FKKw5abqV95pfAcBmtNHt6x7xmud3Pk+np3OyQwUg7Pfjra7Gs2kT7jVr8NfVMZ6L7BvsdtJvuZncX/+KlC9+Ecu0PPL/8mfS7/hv0m65mYJH/3bQnQzEwUkzw9HydEPLBph+HgR9w48FvTDQBunToxPbOOppHaClto/1bzbg6vIyY3EWc87KIyE1+s3Zs1Jn8cgFj/Bx88d4Q14W5JxMuHkniQO13D4/hbebetnU2c82BZd9MheTUmTkJ5AtkxCEiK6+Ztj6r+FlWkPbZig6JToxHQatNe0uH2gr3f7I4PmW3jA5idPo9nXjD/uH/UG5R74zH4d5ZPlEC3Z20vHgg1gyMuh88CGCzc0Y4hxk/eAHJJx33rCuzaNhSk8n4bzzSDjvvKEyx/z543Lu450kbUfLkQZ5iyMfNGYHBNx7j1niwZkdvdjGic8ToGFrN+8+uYNwKPIX2bo36gn6Q5x69XSMU2Ag/4yUGcxImbG3YMlX4O2fcnK+k4SUHE7KK6Pbb6DPF2Zmfgpz8hKjF6wQIsJsh4Rc6Ng+vNyeHJ14DpNSis8tKWB3RxOfnx7PHU0u3trcx/euvIHtPf9NIBygz9/H9KTpbO+J3KPFYOE/F/4ncea4SY/XvXo14a5uul55lWBzMwDhATdN3/gm1tJSmfQWAyRpO1o2J1x4D/zrdjjjm/DOz8DnAmsCXH4/pBRHO8IjFmhvx7d9O/1xuQz0hocStj22fNDMgvMLSZiK652lT4dP/AJLbz0Lg36gBxKngXPklidCiChJKYZT/guevxnCg9sLZVZC3ogtF6esE4tT+UBrqoI9/PScafxpXTdvrrFw31kP0KubiTM7+NT0T9HgasAddFOSWEJZcllUYvWsWYspI4NA/fAtngiH8Tc2StIWAyRpGw858+DqxyKzn649NdIt6syGlKJoR3bE/E1NNN1xB+E+F/avfQeDMWNEHVucGaNpCo8JsydFvoQQU5PFERlacs0/oLMm8vOauzCmPjuddjPnzc7G5U3j4oCP82Z7MTvjiY+zAfOG6pUklUQtxj1sM6bj2bABY2oqoc7hY+pM6elRikocjuj3ax0rErIgbwHkLoCCk2LqQ2c0njVr8KxajfPcpQz84i4SExXJ2cPHYJx8ZSlxibGz/YcQYgpypEDp2bD4RpjzaUiNfnJzJJw2Mw5nPMlZaYMJ29RjP+EEAs0tpN5w/bDxa2m33oK1LDqtf+LwSEubGFWgoQEAHQoTqKnG8tefc8p1X6PXY8LnCZIxLY7scvnLTAghYoUlJ4fsH/8I3+7d5N3/R8KufszZWViKSzA6oj+pTByaJG1iVLbZswHQfj+GxET8y97Av+wNzA4HtgQnWX97FLPZGOUohRBCHA5TSgqmlJRohyGOkHSPilHZ58wh4xvfoPdf/yL95q9izs0BIj/wOT/7OZY82cBeCCGEmExqPBfVm6qqqqr0ypUrox1GzNHhMIGGBsKBAAaHg7DLhTE5GbMMWBVCCCEmjFJqldZ6xDRq6R4VB6QMBiz5+XsLsmN/zTkhhBAiVkn3qBBCCCFEDJCWNiGEEEIcc5p7PGxo7KXXE2B6Zjy+QJj6bg8DviBlmfHMm5aE3RJbaVBsRSuEEEIIcQgtvR5ueWw1q3b3MCcvkcvm5fL61lber967qPDdl1fymUX5BznL1CPdo0IIIYQ4pmxs7GPV7h4Azp6ZQZ8vOCxhA/jJv7dQ3+Ue5dVTl7S0CSGEEOKY0ucNDD0OhjUwcqWMfl8QTyA0iVEdvai1tCmlfqaU2qqUWq+UekYplbTPsW8ppaqVUtuUUuftU75QKbVh8Ni9SqkpvPGlEEIIIaKhNCMeoyGSIvR6AsRZTVhNw1OeE4tTyEmamluOHUg0u0dfA2ZrrecA24FvASilyoGrgQrgfOB3Sqk9S+//HrgRKBv8On+ygxZCCCHE1FaencBfrquiMM3B06sbKEyx86NLKpieGY/JoDh/diY/vrSSeKs52qEelqh1j2qtX93n6UfAlYOPLwEe11r7gFqlVDWwSCm1C0jQWn8IoJR6BLgUeGnSghZCCCHElGcyGjhjRgZP5yXh8QfJcNrwB8MsLops4ZWdaMcag1sxTpUxbdcDTww+ziWSxO3RMFgWGHy8f7kQQgghxAgpcRaIswBgNhmIs8VHOaKjM6FJm1LqdSBrlEPf0Vo/N1jnO0AQeHTPy0aprw9SfqBr30ikK5X8/Nia0iuEEEIcd7x90FkNKAgHIeAGkw3SpoMjOdrRTQkTmrRprc852HGl1HXAJ4Cz9d5NUBuAaftUywOaBsvzRik/0LXvB+6HyN6jhx28EEIIISZHTz28/E3IOwH8LmhcAzVvRI7lnwSX/AZSS6Ib4xQQzdmj5wPfAC7WWu+7UMrzwNVKKatSqojIhIPlWutmwKWUWjI4a/Ra4LlJD1wIIYQQ46vmTehrgpb1EA7vTdgA6j6AjU9HL7YpJJpj2n4DWIHXBlfu+EhrfZPWepNS6klgM5Fu05u11nsWUvkK8BBgJzIBQSYhCCGEEBNloBMG2sGWFOmuDAyA2Q6JBWAax5mXO9+CrNnQtTNynf1tfxFO/k8wWcbvmjEomrNHSw9y7CfAT0YpXwnMnsi4hBBCCAHUL4fnboFZnwSDCdwdsOZvkfFmVdfDyV+DxHGaD1h4Kqx7DBJyIbkAtu3XJlOydNSELdjdg6+mmnBvLxiMhHp6UGYTtvJyrMXF4xPbFDJVZo8KIYQQYqrobYAnPguO1MjjlCJY8ee9x5ffD6llsPjG8ble6Tmw5XnIXQi+Psg/Eeo+jBwrOSeSJAJoDYPr6of6++l8+GEM5kgq0/PEkwTb2gAwOJ3kP/Qg9oqK8YlvipCkTQghhBDD9dRBfxvM/CS0box0i+5v/WOw8DowWY/+eskFcOVDg7NHiSRq/n6wJUaSxh2vRL7CITjhy1BwEr7qavB56f3X68SfeeZQwgYQdrnofvwJbD/8Acpw7GyzLkmbmBJ6PX42NPbS2O1heW0Xuck2Tp+eward3Wxv7eecWZksKU4hyXF8j2cQQohJYU+OdIn2NYAlDhLzRtbJWQjGcfxMdiSD44S9z91dsO5x0CF47Xugw5Hy7S/DZ58i3GfFYLOjrFaCba0jTufbuhUdDKIsx87vDUnaxJTw4vpmut0B7nllGwA3nlbMLX9fQ3OvF4CnVjXwrQtmcuNpxciWs0IIMcFSS+Hcu+DV78C5PwFvLyQVQM/uyHFHaqSVbb/P43aXj53t/YTCGrc/SLzNRLc7QLLDwsws5+H94d3bGJk5arLtTdj2+Oj3mE/+Ob0vvIAhzoFt5ixcr7w6rErSlVdgOIYSNpCkTUyiQCjM+voedrT3896ODtKdVi6Zl0OS3czKum42NPRiMRr4xrwEUpwGHur3892FSVR42yCsqe9tp6U3m+wkx/AT9zVDywYwGCJTxQ0m8PZEPkwyZ0NaWVTuVwghYkGjq5HmgWZaBlro8HaQF5/H/Iz5pC64FnKrIrNH7SkwbXHksTUB0mdExrnte55uN3c8tY6l5Vnc+8YObj2rjHte2Yo3EEm4Lp6bw/c+WU5a/Bi7U9Xg/xlG2W7KYMJaWEDyVVfh3bGDQF09Kdd/kZ4nnkQHAqR88YvEn3nm0b0xU5AkbVNN1y5o3wYDrZExBaklkVk1ozVNx5i1dd2s2NU91JoG8N6Odn55fhEGFP5gmJ9WxVPxq/9h820/GHrMQD/uP/yAkK2GlR1tBNqDdHg6KE8t5wRrJtanb4w05dsSI+MiNj8XmTYOkQ+Xa5+H3PlRumshhBhFZ03ks94cB8n54GqJdDWmlYEtYdLCaHA18HHTx6xpX8NzNZGlT2/MuoLi5Y0EaluJP+kkgm0+fNXv4jjxRAik4169Cku+i7jFBiwFBUPnWrW7G5vZxHNrmzi1LJ2/L68bStgAnl/XxBULcjl9RsbYgkucBkWnQ9AT+WM8HNx7bMlNYDDiqKrCUlpKqK8PtCbpU59CWSyYs7OPqbFse0jSNpV4e2HT0zDQBh/9fm954alw5YMQnw6Ap99P0B/CYDTgSLDg8wQJBcLEJY7DYNAJtKquhxfWD9/E4pJ5uVjfepWinLkUnzCN6R//i3BrCyW+LkyNdYRbW/D/7Rf8X8vDFCQU0DzQzJq2NQAYlZG3Zt2MtWk1nPlteP/XkQGqexI2iMxC+vA+uPSP47umkBBi3NV3u9nZ1k9Ln5d+X5Dy7AQae7z4giEqcxOZnZOIwXAMDI+oXw7P/Efks+rMb8PLd0L71sixWZfA+XeP31Iah7CxYyN2s30oYbs442zOfWo3vnefwHrhhXT8/g94Vq3ClJWFMhjo/PPeGaTm4mLy//xnLDnZANR2DJCf4mB5bRcnlaSO+LwHaHP5xh6cPSkyq7R1I1x8H9S+G+kmnf85yFs0VM2UlIQpKemI7j/WSNI2lbRtAf8ArHxgePmud6FtM37TydRv6WKgx8/m9xoxWY1UnJLD2tfq8PQHqDwjj1knZROfbItO/IcQDmuCoeE7iiXYzBjWrOC05ia6L/sc8Q078QAJ/34KQ0oK3pQUahwuNnVu4vS803mx9sWh19pNdvzdtZEnIX+k+b6/ZeSFWzdC0CtJmxBTWFOPh0fe38WGpl4+2tnF7eeUcdtja2nvj/ySNxsVf7thMYuLU6Mc6VHyu+HjP0QStrSyyH/3JGwAW56LrIs251OTEo7L78K4T/fjWeHphN+9DwBLSTF9L0Y+cxMuOJ/uxx4b9trAzp34tm0dStrmTEviF69u5+TSVNbU93BSSSrvV3cOe01RWtzhBZhSGPkCmHfN4b32GHTstR3GsqA3Mi4rOMpfIgE3zdU99LS6ee/J7XQ2DlA0J403/7qVrmY3HleA5S/Usu3jUZKWaAn4oGUjNK2B3e8zP9PIJ+bmDKvyz9X1qLOWYnzqcTJvvZb4efMA8G7YiH36dAxxcXjCkfcjvN9A1P5AP62JkQ8LlDEy1iJ1lPFrc68Bm3Pcb08IMX42NfUSbzfz0c4u4q0mBvyhoYQNIBDS/PatanyB0EHOEj1aa0LhSGz7f1YN098K9R9HHqfPgsbVI+s0rpyACEdXllyG0+wk05EJgHHf9ze09z6UxULYN/J3k96nbP60JM6fnUVlbiKBYJhTS9OZk5cIQJzFyN2XVVKRM3ldv8ciaWk7SuGwpqnXg9EAA74wYa0pSHVgNY0ycPJQUkpg+6uR7tBd7+4ttyVB5mxqnm/HkWhFazBbjXhcARjecMWGtxuZdVI2joQod5V6+yJ/TVrj0UYL6q2fUjHrMlThDXz/k7N4dVMbafEWrj2xkGRTKf1fupGBRx7Cu2UzKddfT/ejj+LbtRvn0qWUmLKJM8cRCAdItCbS6+sdusxbYRezL/oFho//AGd/F5rWwYm3wKoHI0nwgutg9hVRfCOEEGMx4AsRCkeSBIfFSJ8nMKJOU68XXzCM1XwEn68TxBv0sqFjAx80fkCiNRGX38XyluWcknsK5xWeR2Fi4fAXxGdGFo7d8A9o2xTp5uvYPrxObtWkxV+RWsGq4Cr+Z8n/8MimR9hmHiBnWh6h+gZC/f2YsrIItrQw8O57JJx/Hn3/+vfQaw1xDixle/9QTnJYuOn0Euq63JxXkYkvpDm3IhNfIIzDaiQ/xSGz/4+SJG1Hod3l5e/L60h2mAmH4ffLamh3+bioMpvbl06nOD3+8E6YNI1QxaWEC07CkFqCcdtLkDUHzvw2A44U7ElejMbBlaCDYUyWkR9ccYkWjOYp0IDaupEmi5UMewr+zU/z4dlf58HmdzDX/y//WXolV396AbbE3KEf4KTbb8P/6StQKEzZWSR/5mrQGlNWFo6OVn526j08vu0Jbpl3C2/Xv8227m2ck38Ol8y6BkNiIZSdC6EAVFwOfi8s/AIoAyTmS7eoEDGgLCOenR39xFtNtLl8FI7SjXbtiQUk2KfWz/OWzi38acOfsBvt9Pp7GfD0cU38mWT2OHFv3kSvoxtHTh7B9naU0YSlsADDohuheS107IDKT0dmubdujJxw9qeg4ORJi99sNLMkZwmdHb38aN5MQh5N0s8vpv8fj9P/wQdkfONOBt55F/fq1cSdcgqW4hL6Xngea9l0Ur90A7aSkmHnMxrU4XeBijFTWutD14pxVVVVeuXK8W9ufmpVPf9Y2cAlc3P4znMb2fetvHxBLv93+RzMprElUO6Am9d3v06vv5e36t6i29PBxdmncGLhuWizlbs/vpvLUq4mu2UG1ava6G33sPD8ArZ93EJ/d6R5Win4xK1zyS+P/pgPd/UbvOFr5ZO9nbxtNXPrxt8OO/6n037BkqKlh3XObk837qCbZFsynqCHRGsiJoP83SHEsSAc1qzY3UVt+wBPrmzAYoQLK3N48P1a+n0hbji1iCsW5JLunDpjdsM6zD+2/YO7Pr6Lm+bexM769Xxpex7Ouk4McXH0PvssqTdcj2fdetzLl4NSJF31adJuvhmzsT8ye9TigKRCcDWD0RwZ4jHJwzmadnSzY0UbAV+I9AIn616vx2pVZOSYyF8wjfyKFAx+L4b4eJTBQKivD2W3YzBPrQT6WKKUWqW1HtHkKr/xjlAorHlyZT0nFKbS1Odl/9z3hXVN/NfS6eQlO0Y/wX42dmzkrfq3aBpoYnPnZgB+0VfLp8JePm75mDpXHdt7tnN70TeZf9l8wi4j4VCYpTdU4Or04PeGyMh3kp4/NcZu1dnsdPkCuFPLeHzXP0Yc/3fDW4edtCXbk0kmGQCHeWzvqxAiNhgMisVFqZRnJXDa9DQUirR4KxfPyyEQCk+pZG0PhcKgDEOPPxVeAH/+NbZbb6X93nsxZWcT6nNFEjYArel5/AkcixaReOGFw9c5S84f9/h2tvezbHs71a39XFCZRW2HmziLkcYeDy19Xs6elcnc1Hhee3Azs07Mxu8LsXFZI64uLy6goxk2r9rMp75VRUbB3rFoxgQZlxYtkrQdIaNBMTMrgR63n9wk+4jjeUl2HJaxv72bOjdRklTC63WvDytPsadQ56oDYCAwwF3bv4tRGfnd2b/jpNyTIpVKk474PiaKyZ5MX1sf6wzxOC0jE8l4a2IUohJCTHVOuxnnPl2gSaapu6K9UorpydM5c9qZbOncwrnt0wknJhJojWypZJs1C8+aNSNe516+PJK0TaDGbg/XP7SCXZ1uPrc4nx+8sJlzyzN5alXD0LIbj35cx9NXLcRoNNDd6iYx3cH2USaz9XV6hiVtInqmwOCn2HXVCdN4e1sb+amOoRkyEEno/ucT5aTEjf3DJsORgSfowWkenuCEdRiLYfh5Qjo0aiI0leQnleAw2Xm1eyNn5Z+DUe0df2c2mLmg6IIoRieEEONjVuosvlDxBeakz8GSk0PI5cKUngaAf9curDNmjHiNffbsCY9ra0sfuzrdAKQ7rVS39WMxGUask7aypY+AP0RCqh1vv5+4pJGT2Kb6GqDHE2lpOwoVOYk8cv1idncO8M3zZ9LU68UfDDEjy8m8acmHda656XN5dsezXFtxLb9du3f8lzfo5faFt/N/K/5vqOxzsz5HcVLxuN3HRLAYLVxaehlburfQ6e7kRyf9iK1dW3GYHJw+7XRmp038h5YQQkw0i9HCgswFLMhcQDC7ndYLzifY0opj8WLcH39M4iUXY87NJdDYCIB90SIcS5ZMeFyBfZbrCA8O3xltCPtf1zfwl09X0Lazl55WN/POmcbHz+0kOLiTQdWFhaTmHOakOjFhZCLCFNLS38LO3p34Qj66fd1kx2UzM3kmNrONbV3bqHfVk+HIYGbKTBKle1EIIaacUF8fvpoadCiE9vlBgTkzk0BrG8pswlpSgiklZcLj2Nnez2W/+4BeT4D/OK2Yp1c38rkTC/jjshrc/r1rsd2+tIxbziilt82Dx+UnFAxjMBrwewLEJ9tIznJgtkr7zmQ70EQESdqEEEKIY9DGxl4e+XAX21v6ufmsEj7e2UlxejzvVndQ1+nmM4vyObc8k4yEqTfJ43gnSZskbUIIIY4zobDGHwpjNxsJhzXeYAiL0UAwrLFNoUWKxXCy5IcQQghxnDEaFPbBvUUNBjW0qsGRbNojok9mjwohhBBCxABJ2oQQQgghYoAkbUIIIYQQMUCSNiGEEEKIGCBJmxBCCCFEDJCkTQghhBAiBkjSJoQQQggRAyRpE0IIIYSIAZK0CSGEEELEAEnahBBCCCFigCRtQgghhBAxQPYeFUIIIcSYdXo66fR04g/5SbAm4Av58IV8pNhSyInPmdxguuugaQ0oBeEgDLSDPRnatoIzC4pPg/SZkxvTBJKkTQghhBBjsrZtLdu7t/Pktie5rPQyTAYTT+14iq1dW0m0JvI/i/+Hs/LPwmK0THww/W3w7E0w86JIwvb+r+Gk2+ClO/fWiUuHL74EaWUTH88kkKRNCCGEEIfU3N/M67tf5+VdL3N2/tls6dpCTW8NW7u2AtDr6+XXa37NtPhpdPu6sZvs5Cfk0+HpwBP0EAwHyXPmjV9rXNtW0CFoXAMWOxSfAWsfHV5noB0aVkjSJmJHS38Lre5WzAYzVpMVhSI3PheryTqpcYR1mHpXPe6Am9y4XFwBFz2+HtBgMBhQKhKX0+Kc1LiEEEIcWvNAM1aTlVZ3K/GWeOIt8TxX89zQ8aLEIr4696vcveJu1rWv4/Pln6ff30+aPY2HNj1EIBwgyZrEr878FQszFx59QCEvWOIgHABfCKzx4HONrOd3H/21pghJ2qYoXyBEc6+HOIsJFCTazPR6A8RbzdgtxjGdIxgOsq59Heva17G5YzOp9lT+ueOf+EN+Lii6gFvn30qeM2+C7yTCE/TwfM3z/HzFz8mKy+KamdcQJszatrWk2FL4x/Z/EAgHqMqs4nsnfo+ixKJJiUsIIcTYJFoT0VpjN9nRWuPyu8h0ZNLqbgXgyrIrWdW6inXt60i0Jg41EPxm7W+GztHj6+Fb736Lv1/4d9IcaUcXUNoMaN8GC64FixNWP0RowecxLrtnbx2DCXIXHN11phCZPToFrW/o4Z6Xt/DOjg7+46+r+OfqRr75zAbO/9W7fPXRVaxv6BnTeXb37mZnz05+vfrXTE+Zzt+3/h1fyIdG82Lti7xQ88LE3sg+tnZu5a6P7sIb8vLJkk/SMtDC79b+junJkbgC4QAAK1tX8simR4aeH0h/l4eu5n4Ger0M9PrQWk/GbQghxHGrIKGAooQivlDxBV6qfYl0RzqfK/8cJhVp/4k3x7OpcxMAhQmFbO3aij/sH3Ge5oFmOr2dh319vyfIQE/kM9/T78dlSafr0t/SmpTHO+mF/HvpN1mTP5+2M+6EtDKChSfj/+yTkD336G58CpGWtimmo9/L/3t1GwsLUrjrX1s4c2Y6r25qZXVdNwBvbWtndV0Pz99yMgWpcQc/l7eDFncL6fZ06vrqRhz/d+2/+Wz5Z0mwJEzIveyrrn/v9X0hHyajiWA4SJe3a0TdN+re4Kvzv0q6PX3Esf4eH52NLpq29+BItLLl/WbcfT4qTs2h/JRcnCm2Cb0PIYQ4XpkMJpYWLmVnz04q0yrxBX0k2ZK476z76PH1kB2XzcyUmWzo2EBdXx0XFl+I1ThyGE6mI5MUW8qYrxvwBWnZ2Ut/j4+BHh8ms5FtH7WQeJ6b72//Bl+qvAHl8RDWYb6z9nc4LU7OrjiNDn8fWW0f8o2i0zAzth6qqU6StilmV4ebZds7mDstCX8ozIwsJ69sqh5Wp9cTYGf7wCGTNofJgdPipNfXS7pjZAJUkVqBw+gY1/gPJN229/pWo5VAKEAwHCTRmjgyrrQKnObRx7V1NvazfXkbKdkO3n+qGh2OtLCtfHE34bBmycUlKIOamJsQQojjnM1kozytHICQx4symyAYRGsIGMP0+12sa1/H9u7tWI1WdvXs4rqK6/jb5r8R0iHizHHcdfJdo/5OOpC23X00V/fS2+4hNS+e95+qxmIz0ubbwtz0uWzv3oFGU5hQSEiH6PH18M+61wAwta3ihsobyI7PnpD3Y7JJ0jbFWM0GHBYjRhVJPEJhsBgN+EPhYfXGMq6tIKGAbm83CzMXEggHKE0qpbonkgAmWBK4ruI6TMbJ+RaYlTKLS0ou4bma5/io+SPmpM7hC7O/QPNAM1WZVaxsXTkU183zbsZmGtli5nUHCHiDVK9uZf45BUMJ2x4blzVReUYe8UnS2iaEEBPFX1eH6803MdgdaJ+PQGcH5qwsvOvXk+8e4Me33UGLcQC7xUGBs4BObyen5Z6GP+wn35nPNOc0QmENWmM0GggN/n4zGkcfsdXb7kVrTUedi3Ao8rkfDIRJNCTR7esmw5FBnDkOk2Hk77N0e/qkT7qbSJK0TTEzMp185fQSOgb8lGbE88qmFj6zOJ+HP9g1VOfMmelMzzz0DMsEawLzM+aTYEmgyd3EoqxFeINeTAYTJUklFCQUTOCdDJdsT+aOE+7g8rLLcfld5Dnz8Aa9Q7NHv1DxBQCKE4uZljBt1HMYPR2gDNjjzBhNCkeCmcWnQoKpEy9JbNnhwGiSYZpCCDFRQv39tP7kf7HPm0fvm29hSk7CnJtH5+9+T7C9HQD1ymvMuPhisn/8IwxWKznOyBIf4bBmdV03L6/diS8Yxh8MMyvbyZq6Xlbt7uakkhQuX5BHcXr8sGsajAod1mgFFnskbQmHNBm9Rbh8LmakzMAf8tPj66EsqYwdPTsicaD45qJvHlZX7FSnjocB3FVVVXrlypXRDmPMWno9rKnrIRgK0+sNYDcbcVhM7OocoDA1jnn5SWQn2qMd5uTa/QE8/jl6PvU2bU0+erqNTE/ZSNKym8A/AAYTgXP+D/MJnwfzsfNXlRAiNvmDIcJhjcGgQIFRGQiFw1hMsT22yrN5C3VfvZnEG27A2NVJxx//SNq3vk3HT+4aXlEpil54Hltp6VDR2vpuvv7kOpYUp/LRzi6uWTyNVze18nHt3rHNs7Kd/PX6xaQ5936Ot9f30bi9F99AALPVyMoXdxHwhTAYFEWfcKCm9+Gw2QjpEGjo9HYSDAeZmTKT8tRyzEbzhL8v400ptUprXbV/ubS0TUFZiXYuqDzOkrKD6W+HZ78KRiOJ/R8Rt+lP+E76HvEv/WckYQMIBzG/dgcULYLsOdGNVwhx3Opx+1lT101dlwez0cCK2k6WlKTy1tY22vt9XHtiIadPTyfJMQk7BkwAZTTS9t8/wNLfQVw4hLHqBDzpWSMrmkwo4/AE9b0dHZwzK5OHPtjFF08uZMAXGpawAWxpdlHT3j8saUuflgBa0d/jJeANcebnZtDb7kUpyJuZQkaB87gZyyxJm5j63J3QXQsFJ6FczZibl2Nufxvc+8081WHoa5KkTQgRNcu2tbGp2UVKnIUfvrCJ/z53Bv/z7EYCg2OxVu1ey08vr+TqRflRjvTIqGn5PPRuJ7eVl8Dz/8Rz03/RYLCRW1JGuGbHUD3L1Z9FZQ/f+cBoMBDWYDIowgfp5FNqZAKWnu8kPV8WXpcBQGLqi0uDtOnQsR2c2ZHFEn2uyJ5y+1IGSMyNToxCiONej9vP1hYX72xvp67Tjc1spNsdGErY9vjd2zX0uEeuXxYLQiYTre4gb7ntbPjUTfidibzYFODjL95J4OavY/jEJQx860e8NOtMgobhLW2nlKbx+uYWrjphGi9tbCbeauSMGcM/x6sKkynNOPjKCMczaWkTU19cGlzyG3j8Guiph7O/Bx/+Fk65HZbdA94eMFnhE7+KrJAthBBRsGf8msmgMBkVobBm/wmRiXYzn12Sz66OATr6uzEaIN1ppccdICXOSkl6HFbz1B335rCY+NyJBXQP+Pna8j6uNaZQnpPI9/7ViNM6jYzsUuq2u/nBxZk4LMNTjMq8RH599XzWNfZyQ4qDfl+QaxblU1WQzPqGXhYVpbC0PJOUOBmXfCAyEUHEjp566K0HR1qkyzQwEHkcGABHOqSWgGHqftgJIY59r21uYXNTHxaTgV+/sYOvnlHKn97ZicsXxGoy8M0LZpLptPLU6gaW13Zz+9IyfvnaDvp9QQwK7jhvBteeWEicdeq2qXS4fLy5tRW3P8RTqxu4/uRCej1BHvlwN25/kBtOKeLy+XnDxqWJw3OgiQiStAkhhBDjxO0PsqGhl8YeD1pDdZuLGVkJ7GhzkZ1oY3ltF7Nzk/jfF7dwzaJ83trWRnOvd9g5nvnqSczPT47SHYxdh8tHKBxGKUWi3USby4fZqMhKnJxF249lMntUHLneBuipg4F2SMiDnPlgkOGQQgixP4fFxOLi1FGP1bT1s6vDza6OfgCS4ywjEjaAllHKpqL9W9KmpUhKMdHkHRYH17wB2jbDS3eAtxfMdrjgHph7DUzSbgpCiONDb4eHtto+QsEwjiQLOgT93V7cLj9pufFklyZhi5v6a271tLrpaOxHAUaTIhzWdLe4sec4aOv3MjcvCYB2l4/8FAd1Xe5hr89NliWfxOjkt644ML8HXM3w0p2RhA0g4IF//xdklEPeiJZbIYQ4In2dXl783Xo8Lj9zz85HGWDrhy00bO0eqnPCJ4qouqAAwwG2O5oKeloHeOG+dVSemUdfh5eUbAfvPr4jstCuSfGJq0vwOY1cOi+HF9Y3cud5M/ntW9V09PuxGA18/5PlY9rxRhyfJGkTB9bfAp7OyOzMfYUCkS5TSdqEEOOkva6PrqYB5pyZx0CvD9DDEjaAVS/toqwqg+SsqbskREuti+TsOHasaGX2qbls+aCZ8OCiZOGgZtc/all8wyy+fGoRVyzMw6AUj395CT2eAIl2M8Xp8RiPk4VixeGTpE0cWHwm2FLAmgC+vr3lBiMk5Bz4dUIIcZiC/sim4WarkXBYEwyER9QJh/RQvanK7wlidZjpbh5AGRSe/sCw4wFfCE+tiyVzSqIUoYhlU7eNWUSfxQEJ2XDe3WCyRcqM5sjz7HlRDU0IcWxJyY7DYFQ0bO0mGAjhTLZhjRverpBVnEBCmi1KEY5NRoGThq1dFM1Nx9sfoGhu2og6eTOn/sxQMTXJkh/i0Dp3Ql8D9LdCwjTIWQDm2Nw3TwgxNemwpnFHNx89u5Nps5JJSLdjNBnY/G4TnY0DFFSmsuC8AlKyp27XKEAoGKZhazeNO7oxmgyk5cbRttvFto9bsNhNLPpEEQVz0jBP4QV0RfTJOm2StAkhxJTn9wQJ+EPY48x43IHB7lBNfJINoyl2Ood87gDhUBitQQMBbwibw4QtXv7gFYcm67QJIYSY8ix2ExZ75FdTXELsrqhvdey3NElCdOIQx5bY+bNFCCGEEOI4Ji1tQgghhDh67m6o/xi6aiClBIJeUArCIWjbCmgoPQdyF8ri7EdI3jUhhBBCHJ1wGFY/DO/+Pzj169C5I1Kuw7DsHvBHtu7i3Z/Dtc9D0anRizWGSdImhBBCiLHr3h3ZHScchLg08PVHkrJlP4WKy6CzBjxd4MwEFPj70UkFtC/4LJ70mWgdwNRXh0GZsJqs+EI+km3J2E2yfdehSNImhBBCiEPzDcDmZ8E/ACvuh+IzwdsHBSeDIyXSHWp2RHbN0aHIf0MBOudexXtlJzNgNDPgb8OpPLz64d84O/9snqt+jm3d2zg552RuX3g7ZcllhxWSPxhiV8cAXQN+whqC4TCJNjMD/hD+UJjC1Dhyk2yYTcfGEiuStAkhhBDi0JrXQOMq2P5ypJUNwJ4E3i5Y/zjMuBC2vwKVV4IjDeyJYLSyzOChPeTFqAO4Ai4e3vIwV5ZdyW/W/Ib+QKTb9N3Gd2kdaOUv5/2FJFvSmMLxBUK8uL4Jo1I09Hh4r6aTKxfkUt/ppqyvkRneTnR7Oy67HYPNRqC9DVNqGu4VKzDY7SRecjH2uXNRxthJ6GT2qBBCCCEOrX07OJKhrzGy9/Su98AaDz4X7H4fkguhbCkEfZBSCOY4/MlFrPS109jfSHV3NRajhV5fLyaDaShh22N7z3Ya+xvHHM6W3T1kmcw8ubKeeLOJVIeFAV+QnPbdlDRtp/t3vyPY0kyop5vWe+7BYLXS8t3v0vf88/Q88QS7P38tnvXrx/c9mmCStAkhhBDi0JyZoHVkW8OeekgtAWWAPWPRPvwt7HgtsntO9ZtQdi6maYtIsiQSZ44jxZ6C2RBZv85kGNnRZzFYcJgdYwrF5w4QdAXoanZzdUUu6xt7+OSsLDyBEHntdXg3bsR5zjn0/PNpCIWxlpQw8O57w08SCtH3yitH9ZZMNknahBBCCHFoOfOhpwFOuhVa1sO0xbDjdbCnRCYgAPTWw6ZnoOJSSM7H4EjmwpKLSHekk2JNYVvXNs4rPI917es4O//sYae/bcFt5DvzxxSK3xPCGgbd7cOhFHMzEwj1B0iymTEo0KEwSqlIkglgMKBDoZEnCo5SNoXJmLZjXNjnw7d7N+HeXrTfD1qjzGYsxSWY00duZCyEEEKMKiEHzrsLOnZAblVkQsL5d0e6RxdeD+WXQmAA0mdBVuXQy2anzcZmtNE60EpZchmBcABfyIfZaObCogvp9/eTn5DPzJSZGA1jG19mc5rRriDuXS4KZ6eSYDLSFgiS4QVD2QzsKkjPk/8g8ZKLUSYT3m3bSL/pP3B//PHekxgMJJx//ji/SRNL9h49hoVcLjzr1xPq7sG9dg3B5hb633gDAHNRIXn33out7PBm6gghhBBTQVdTP227XWz9qJk5Z+fT2TZAXKKVrrZ+ZqT3YWrYTaijHWW2YIiPw9/YhDkzg/63l2Gw20m+5hoc8+ehzOZDX2ySyYbxx2HS5l6/nkBjI73/fBr7/Hl03PebYccTr7ic7B/8YEp+wwohhBCH4h0I4OryEvCFsMWZ8HlCKAUKRXyqFYfTMlRXKcWenKfb2029q55QOITVZAUN/rAff9hPXnweuc7caN3Snlhlw/jjTbi3D8Jh/Lt3Y87JHnF84IMPCblcmFJSohAd6HA48l+tMRiNBIMBgjpEmDA2ow1fyIfRYCQcDqPR2M2y8KIQQoi9bHFmbHFjb3hQSrG9ezsfNn3Ipo5NpNhTKEoowhfy8cf1f6TP30eCJYGfnvpTTs2bers2SNIWI7TWbO/ejruviz7tJt7gIGyALn8PGzo2kBWXxUl5p1CcVDz0GkNSIiGXC0thAabMzBHnjDvlZIxO52TeBgDBzk4827ajQiHc69dhyc2lJtdIndPPxp7NlCSW0OvrJcmWhMVg4aPmj6jtreWi4os4v/B8suNHJqBCCCHEoQwEBljZspJ7V9/Lf8z9D9wBNx2eDh7e/DCeoAeAPn8fd75zJ09+4kmmJUyLcsTDSdIWI3Y2byZQV8v6wE5K02YQMnnZ7W/lRyt/MlQnc8sj/PmcP1GYXASAtaiIcJ+LxEsvw7N6Nc7zzsX1yqsAWEpLSbnuuknvGtVa4165Eh0K0f3XvxF/6qnUBlp53t/Exu0bmZ8xn0e3PMqV06+kdaCVp3c8TbevG4Btq7axu2833178bSxGyyGuJIQQQgzX7e2mw9OBzWSj3d1OgjWBMOGhhG2P/kA/re7WKZe0yZIfMSK8ZTuN3bs5J24hJpcHV9jDHzf/eVidVncrm1v3LhRojI/HsegErNPLcF54AUlXXcW0B/5C/l8foeDhh7CVlk72bRBsacVXXY0OBvGsW4cOBNidHCAjLoPt3dtJtiUTb4lnRcsKzEbzUMK2xzPVz9DU3zTpcQshhIh9CZYEkq3JuINukm3JAJiUacS6cVajlVR7ajRCPChpaYsRxp0NUGRBu1w4AwFMycm4A+4R9Xy+gWHPDWbz1JohqgBlQBn2/r1gwoABBYABA4FQAJvJhmGUvylMyoRByd8aQgghDl+CNYF5GfP4QsUXaB5oJhgOMjt1Nl+u/DL3r7+fkA5hUia+f+L3KUgoiHa4I0jSFiMc2XlktTRgTfJhs1uwDGg+m/NJ/rD770N1LAYLZXFT75tsX+asLKwzpqM9XhyLF4PJSEFTiA8tTZyUcxK7+nbhMDuYlz6Ppv4mChIKaHQ1ck76yZyYspAq52yyfDYCHR2E3W7MWVkYLNJVKoQQYmwq0ytJsiRR31+PRmM2mDEqI3PT5+IJepjmnEZxUvGUbCCQJT9ihKehjpbvfh/nV7+Md/cugn29hBeUs6xrBc/0vUOuOZ3rMj7JwuJTMadOvSbdfQV7evBu3YoOBPBt34ExOZmmbDP1yZrmQAfxlngUCovRgs1oZWZ9mMR+jb+2Fl9dHQlLl9Lz2ON4N23CsXgxaTf9B7ZZs6J9W0IIIcS4kHXaYjxpAwi0teHZugWDMwHdP0BIaQxWC56wD6vNSXxePqYpnrAdLu/WbbTddx+OOZW03/cbcn72M9ruvptgW9tQHUtJCQV/fSRqS5cIIUSs0n4/vt27Cbn60cEA2udHezyY83KxlpRgsFqjHeJxSdZpOwaYMzIwZ2SMKE+IQiyTxVdTTcJZZ9H92GPYZs0i2NY2LGED8NfU4K+rk6RNCCEOg/b7cS1bRqCzExUOo/1+2u+9D+12g8FAxtf/i+RrrsFglzUyp4qp12ErxD4MDgehgQGMycmE+vpG//BQSj5UhBDiMPlqa/HX1GBOSsJfW0vXAw9EEjaAcJi2n/0c347q6AYphpGkTUxptlmzGHj/PZIuu5RgUxPKasF5zjnD6iR//nNYCqb2BAwhhJhqgu3thP0BQi4Xhrh4gm3tI+oEWluiEJk4EOkeFVOaOSuLrO9+F9/u3eTe+2v89fUkXfMZ4s48k2BrK9bSEhwnnIDBZot2qEIIEVNMmVkYbFaMTifevl7MuTkEGvdZB1MpzDk50QtQjCBJm5jyLHl5WPLyoh2GEEIcU6zFRQSaZuBvacFWUYG1uISO3/+eUGcnymIh87vfxTqV1vkUh5+0KaVSgdOAOq31qvEPSQghhBATTRmNxJ92Gv66OkIuF9ofIPeXv0D7/Jhzc7AUFg5bCF1E3yGTNqXUv4Bvaq03KqWygdXASqBEKXW/1vpXExyjEEIIISaAUgqrjAmOGWNJoYu01hsHH38ReE1r/UlgMXD9hEUmhBBCCCGGjCVpC+zz+GzgRQCttQsIH20ASqn/VkpppVTaPmXfUkpVK6W2KaXO26d8oVJqw+Cxe5VS6mivL4QQQggRC8Yypq1eKXUr0AAsAF4GUErZAfPRXFwpNQ1YCtTtU1YOXA1UADnA60qp6VrrEPB74EbgIyLJ4/nAS0cTgxBCCCHEkL5m6NoJoQAEfWCNB3cnBD2QNhOy50CU2ozGkrTdAPwIOAe4SmvdM1i+BHjwKK//S+BO4Ll9yi4BHtda+4BapVQ1sEgptQtI0Fp/CKCUegS4FEnahBBCCDEeOmtg13ugNXTvhKxKWPcobB5MU0xWuOpRKFsalfAOmbRprduAm0Ypfwt460gvrJS6GGjUWq/br5czl0hL2h4Ng2WBwcf7lwshhBBCRAT90LgKGtdC5gzwDYDBGGktQ0PHdkifCQUnQ0rR8Ne2bISe3WCJg7qPIDFvb8IGkZa3F++AL70OcWlMtrHMHn3+YMe11hcf5LWvA1mjHPoO8G3g3NFeNtplDlJ+oGvfSKQrlfz8/ANVE0IIIcSxZNc78Oin4IoHoOZtSMqHtY9CwUnw4W/21suqhM88CYn7LCDs7ox0fQbckde5u0aev7sWvL1TM2kDTgTqgceAjxk9eRqV1vqc0cqVUpVAEbCnlS0PWK2UWkSkBW3aPtXzgKbB8rxRyg907fuB+wGqqqoOmNwJIYQQ4hjh64e3fwrTFsNAG1jjYKAVik6F5X8aXrdlA7RuHJ60JeZBbz1YndC6BYrPHHmNglMgPmNi7+MAxjJ7NItIq9hs4NdEJg50aK2Xaa2XHclFtdYbtNYZWutCrXUhg5MctNYtwPPA1Uopq1KqCCgDlmutmwGXUmrJ4KzRaxk+Fk4IIYQQx7NwEDzdke7NoBd0ODKhwGiOPN/f/mVZlZA9F5w5UHUdBDxw9vcjSRxAZiWc95O9zyfZWMa0hYjMGH1ZKWUFPgO8rZT6kdb6vvEOSGu9SSn1JLAZCAI3D8YA8BXgIcBOZALCcTsJIRAKY9hv9oqxpxZ6GyEhN9LEGw5F2kV9/ZCQDanTwXRUE36FEEKIqcueBEtuhle/DfM+C83rID4TNj8PMy6Erf/aW9eaABmzhr8+IRtmXACdOyOzRcNBMDug8JTI49TpED/53aJ7KK0P3XM4mKxdRCRhKyTSGvaA1rpxQqMbJ1VVVXrlypXRDmNcrKvrYXtbHw6LiX5vELPRQJfbx3nWTWRtehj/qd9BBX14AxbiDL1Y/3V95K8Og4nQOT/GWPUFsDiifRtCCCGON33Nkd9HRlOk9SscAqMNfD2RhCh9JjhSjv46Ax2w9d/QtAZKz4WwD/wecHdEuj6rX4fM2XDK7ZC74OivNwGUUqu01lUjyg+VtCmlHibSNfoSkaU4Nh70BVPQsZK0Vbf189D7tUzPdLK5qZfMRBu9niD5hg6u334TO+c+SF6pDdeAje52PyVrPofq2T3sHKEvvo6x4IQo3YEQQojj0s634dXvwZxPg8kSmaVZcjZ0bIP3fwX+AchbDBf9LNI9OR48vZFu0VAg0mqGIXJtrSONFybr+FxnAhwoaRvLmLbPA9OB/wQ+UEr1DX65lFJ94x2oOLDGbjchren3BYmzmfEFwvxjZT351n58uWeyeYsVl9tOb68iyekZkbABhDrroxC5EEKI41ZnDTz+WZhxHjQsh3WPQfp0CPTDWz+JJGwADR/DsnsgMMrYsyMwYDTRT5heA/RZHPSarXTqEH0mI9poGZdrTLaxjGk7YGI32G0qJotS7GkZDWsNSmE0KOr98WhbEq4uP2FDKsFwEG84EZ1YgOrdr6UtLme0MwshhBATo7ce/P2RSQFpZVDzJihTZAz2/na8EuneTMobeWyMuj3dvN/0Pr6wDwMGur3dFCQU0Ofv4636t6jpqeHcgnO5vOxypiVMO/QJp5BDtrQppb57gPIE4JVxj0gcUEGyHYfFhNNmJBjSxFlNXL0on3tX+WjIOom5C0FZ7RjMFrZtDNN7yv8De3LkxQYTAyf+CJ02M7o3IYQQ4vjiSANlAKM1kpDZUwA9+N/9pJcf9czM1+peo85VR11fHX9c/0dy43PZ2LmRX6z6BW/Vv0Wdq44/b/wzv1z1SzxBz1Fda7KNpXv0VKXUT/YtUEplAe9yFDsiiMNXmB7P5QvySLCZObEklZxEOxU5Tm45q4w/1E3DVJxKV8sAcSkOShak0hKqoPHs52k5/e+0X/QigTlfwJGaFO3bEEIIcTxJLYOlP4btL0eW4lh8I3RWgzMDSs7aW8/sgKU/BHviEV+q19fLw5seRmuNxWChIKGA3a7dmJSJHl/PsLqv1b1Goysm5lMOGcviuhcDTymlfqG1/i+lVBmRSQk/01r/cWLDE/ubnZvI7NyDf0OHgiF0WBMIhDGZMlGGCowmAypKG9wKIYQ4jpmtUHU9FJwI7p7IZID0WZE9jU77Bsz/fGQcW2Y55Mw7qkuZDCYSLAkYVKRNyh1wYzaYCYVDI+qaDWZMhrGkQVPHWMa0eZVSlwGPK6UeJ7JDwte01s9MeHTiiBhNRiDycyGEEEJEncUBuQsn/DJx5ji+Ou+rfNj8IWEdRmtNQUIBK1pWMCN5Btu6tw3V/XLll5nmjK0xbWNZ8uO/Bh+agTuJdIu+s+e41voXExbdODlWlvwQQgghxMH5Q342dGyg3d2OAQP9wX4y7Bn0B/ppHmim1d3KoqxFLMhYQJItKdrhjupAS36MpV1w3xGB945SJoQQQggxJViMFhZmTnyrXjSMpXv0h2M5kVLqW1rru48+JCGEEEIIsb/xHIH3KUCSNnFkOquhcS1YHTDQGdmkNzE3snJ1ZzX0NUX2fis8ZXy2ORFCCCFizHgmbTI1URyZ7jp47BpY/B/QviUyLbziCuipgzV/hdZNkXrL/whnfhtO/W8wGIedwu8N0LbbxUCPj7AGe5wJjytAd4ubpEwHudOTSUy3R+HmhBBCTCX+hga8GzfhranBMW8u2h8gHAgQ6mgn2NyCrbwcR9VCTOnp0Q51hPFM2g6987wQo2ndAMkF4O2FlX+BE26AsB+8/r0J2x7v/j+YfSWklgwrbtnpYt0bdWQVJ2IyGWir7WPjsr3r7+ROT+LcL8/G4ZQptUIIcbwK9vbS9/LLtP/8/5H1/e/jr6sj2NaGv7oG12uvDdVLvPJKMr/9LYwORxSjHWksi+uOlbS0iSMT8EYWXFQqsgedMkS2O9HhkXVDfggHhhUN9PjobOwnIc3OhrcbiE+zsfm9pmF1Grf30FHvmsi7EEIIMcX5d+2i6y8PYMrJAbOJcG8vymQalrAB9D71FP7a2ihFeWCHbGlTSi3RWn80hnP9YxziEcejzHJ47X8gbzFUXglNayC3KpLI2ZPB0723bvllkFQw7OWhYJhQMIzZasTnCaJDmnBoZMNv0D9KEiiEEGKIN+hlfft6Oj2daDS9vl7S7en0+nvp8fWwpm0NFakVnFt4LiVJJYc+4RSjA0FC/f1Y09IgHEYHAgfsJ9Te8dm4fjyNpaXt90qpPyqlkg5WSWv9v+MTkjjuZMyCT/810j1afBakzQCjBRJy4YJ7YMaFke7QU78O53wfzMPHpiWk2UnKdNBc3UNZVSZhrckuHb5rhC3eTGpu3GTelRBCxJwVLSv4qPkjmt3N/H3r31FK8WzNs6zvWM+vVv+KZQ3L+N263/HVN75KU3/ToU84xVhyc0i48EJ81dUokxmDMwEdCmIuGN4YYCkpwbJf2VQwlsV1DcBtwFeBH2ut/zoZgY0nWVw3RgR9kVmjygRBD1gTIOCGcDDSZRqXesCXdrcN0NU4QF+7B68nQHZxItWr22nY0k36NCcLLyggq/jI97MTQohjnT/k56uvf5UTsk7AE/RgNBgxKRP+sJ+HNz1MYL+hKb856zecPu30KEV75DwbNtD3r3/hq28g6fLL0T4fOuCn/4038KzfgGPJElK/dAO2srKoxXjEi+tqrcPAr5RSrwIfKqV+R6QxUUUO64Rxj1Ycn0zWyBcA8ZH/mK0HrL6v5Iw4kjPi6Otwg1IYzQYyixLxe0PEJVowmY2HPokQQhznQjqEHvwfgEajUIzWwKNjdP6hvbIS6/TpBNvbMSYno8Nhwv39xC1ZAgYjpuQklNkc7TBHNaaJCEqpG4DngO8ACVrrBK21UxI2MdUkpDlISLUTl2DFHm8hMc0uCZsQQoyBxWjhuorrCIaDJFoSWdm8kmRbMtu7tnNh8YXD6qbb0ylNKh23a7sDbnq9vfR4e+jx9NA60IrL58Llc9Hj7cEX9I3btQAMViuWvDyMcXGYnE4s2dmYs7IwZ6RP2YQNxjYR4QNgF3Cq1rplwiMSk8bV7aWvzY3fH0apwUmbIfB7giSk20nNicNsHc9VYYQQQkxli7MXYzVa6fJ28akZn6LX18vFpRfT6+slLz6P5S3LmZ06m4tLLybPmXfU1/OH/KxoWUFdXx0uv4uSpBJWt60mJz6HQChAXV8d7ze9z8zUmXy58svMTps9DncZu8Yypu1WrfV9kxTPhJAxbSP1dXho2tFDe72LUFBjsRsxmY2s+Hft0Eyak64oofKMPGmpEkKI44zWGqVG7xZVavxW+FrduprHtz1Og6uBz8/6PH/a8Cc+UfIJ3mt8D5vRxruN7w7VdZqdPHbRYxQkTr0JAuPtQGPaxtI9+sUJiEdEWVfLAPVburDFmYlLtGBQitWv7B429fnDp2vobnFHL0ghhBBRsScxU0qN+BpPK1pWUOAswGq00uHtoMPTQWN/IwsyFvBe43vD6roCLmp6a8b1+rFG+r5iTcADXbvA1zc40xIw2SGt7LD25AwFw/S0uXEkWjCajKAUocDwdcy0Bo/LP77xCyGEEIPiLfH0+HoYCAxgNVrxh/3YTXaC4SBWoxVvaPhaaTajLUqRTg1jSdrmKKX6RimX2aOTbaADWreAux2aVkP3btjyfORYbhVc9odI8jYGVruJrKJEbA4z4ZDG5w5gd5rxuPZO6TZZDDhTZb9OIYQQE2NR1iJ+tuJnlCSV4DA5OCX3FJxmJ2/UvcGV06/kb1v+NlS3Mq2SsuTxWYaj1+3D5QthNRkwKYU/rFFaowwKm8mI0z41JyOMZUzbGq31/EmKZ0IcM2Padr0P3h5Y/wSkz4Rl/zf8+Em3wjk/AsOhe729ngBN23po2dmL2WrAbDNhNBpY/cpu+rt9OBIsnHXdLPLLU8a9OVwIIYTYo7q7mtreWnwhH0nWJNrd7VhNVoLhICEdYnffboqTilmYuZDc+NyjupY/GGJ1XQ+N3R7qugYoTI3DGwzj8Qfp8wZ5bm0TVpOBr51TxunT07FbotMhecTrtIkj5GqBhpXQsT2y4n/eCdDTCH310LIebEmRsmknjP2c7i7QwUgLm2mU9cu2vwyn3Qm2Qzd+2uxmiuelk5BuI+ANYjQaUAY4/6ZKdFgTl2TFmXx8N0MLIYSYeKXJpZQmj9/yIQezsbGPFbu6+OeqBj67pIDNTb30+0NkJdj41es7hurd9LfVPPqlxZxcmjYpcY3VWJI22VP0cHn74LXvRVrE9rjhVejcCc99JTJYDCLbNF39d8iZN7bz2hPB54KEnBH7bwJQdEZkv87DkJbrPKz6QgghRKyqbusnEAqzoCAZfzCEyWigtXeArc2uEXVf2tAck0lbtlLq3gMd1FrfNo7xHBs6tg9P2NJnQjgM7/1ib8IG0NcYaY0ba9KWNhPaNkPF5dCyDopOh9plkWOpZXDCDWCQ5TmEEEKI0dgtBoxK0e8NojX4Q5qwhsRRxrClO8e2I89kGkvSdgwMBptkAc/w57bEyKq1nq5R6vaP/bzODDA7oGcnOHOg+Aw48WYw2SKJoTPzqMIWQgghjmXTM53s7nTT0e8jyRFZ7iqhIJl4q5H3azoIhCINK/FWE+eUT73fqWPZe/ThyQjkmJJaAonToLc+8rxpDRjtMPez8MGv99ZTBsiac3jntsUf/muEEEIIwYysBIIhzYwsJz0DAaZnxhPUmmBI84tPz6O2ox+n1cySklRmZU+9xTHGso3V8wc7rrW+ePzCOUYk5MBnHod3fg5170PJOZHWthkXRLov1z8Bcelw2teh4JRoRyuEEEIcNypyE6nITYx2GEdkLN2jJwL1wGPAx0TWZxOHkjUbLv8jeHrBngwmM1AKKSVQ+SlwpEW6O4UQQgghxmAsSVsWsBT4DHAN8G/gMa31pokM7Jhgso5MzJwZkqwJIYQQ4rAdchVWrXVIa/2y1vo6YAlQDbytlLp1wqMTQgghhBDAGBfXVUpZgYuItLYVAvcCT09cWOJw+Bsa8FXXEOzpxmCzYUpNJex249+9m1B7O7bKSuIWL8aYGJt9+EIIIYQY20SEh4HZwEvAD7XWGyc8KjFmgdZWOn73e7TXi21OJYacHPz19fQ88STedeuG6qXdegtpN92EMso6bkIIIUQsOvQmlfB5YDrwn8AHSqm+wS/XATaSF5PIt20b5pxsfNU78G7ZisFqJdjSOixhA+j8wx/x19dHKUohhBBCHK2xrNM2lsROREnY64WwxhAXT9jrRQeDEAyOqKcDAbTPF4UI9zHQAe3bIosMG8xgdYK3B0x2CHqhvxWcWZC7EOJlsoYQQohx5ndDywbwu6C3IbJQvTJATx3Yk6BnN1gTIP9EyCyPdrQjjKV7NOVgx7XWoyzzLyaLtbSUgfffJ+TxED9rJga7HWNqCsakJEI9PUP14k49FfO0adELdKAD3v0FoCM/HHOugk1PQ8asyA4Sr30PdDhSd/p5cPFvJHETQggxvqrfiDQSvP8rWPjFSPL22vdhyVfg6TsgPNjoYUuEL/wbsiqjGu7+xjIRYRWgGX19Ng0Uj2tE4rBYi4tJvOIKbJVz8Dc14m9owFJWRuZ3v0vvM8/gq64m/pyzSfn85zE6HNELtHUTWOMiidsFPwdPZ6QsMR+W/2Fvwgaw/ZXIX0KlZ0cvXiGEEMeW/jZoXAXWePAPRBa776yJLIhf/frehA3A2wvbX429pE1rXTQZgYgj55gzB9v06YTcHkCjlIFwURG2ytkYLBZMGRkoQ5R7uT1doHXkh8JkjrS8JeQAGvqaRtZ3SwOuEEKIcRT0gdEIIT/YEiK/k0K+yOOBzpH1B9onP8ZDOORvcqXUFQcotyilvjv+IYkjYbDZMKckY05JwZSchCU9HWt+PuasrOgnbACppeDtA2c2uLsjCVvbVjCYIhvf70sZIK00KmEKIYQ4RiXkgDUxsjd4587I75+kIqhfDmVLR9afccHkx3gIY/ltfqNS6iWl1FA3qFLqAmA9kDphkYljS0Y5lJ0Lp90BNW+B2Q6nfA18fTD3M3sTN2c2fPoRyJwdzWiFEEIcawxGqLgsMl7tk7+C5vUQlwbn/x/4euH0b0ByUeT3z1V/g7wToh3xCEprfehKSn0GuAv4O5E129KBm7XW6w76wimiqqpKr1y5MtphCABXayRR0xrMtsjerEqB0Rxpuo7PBGdmtKMUQghxLOvviExIUAYwOwZXMrBGvpQR7NFdjF4ptUprXbV/+Zh2RACeBCqA24Ee4Cyt9fbxC08cN5z7JWVJUYtECCHE8So+bfhzR1JUwjhcYxnTdgqwhkhX6DTgFuAFpdSPBre3EkIIIYQQE2wsY9p+BXxJa/0VrXW31vpZYD5gBWKie1QIIYQQItaNpXt0kdY6rJQqItJFqoEtWutvKKUemtDohBBCCCEEMLakLU4p9RegClhLZJHduUqpVcANExibEEIIIYQYNJbu0fuAzUCp1vpyrfVlQAmwAfjNRAYnhBBCCCEixtLSdrLW+gv7FujIOiE/UkrtmJCohBBCCCHEMGNpaRttz1EhhBBCCDGJxtLS9r5S6nvAj/U+K/EObmH10YRFJoQQQggxyXrdfgZ8QcIa/MEwyXFmXN4g/mCIlHgbKXGWqMU2lqTtVuAvQLVSai2R2aPziazd9qWJC00IIYQQYnJ4A0GW13bh8YewmAys3N1NeZaTOJuZNXU9PLWqAYvJwG1nl3JueRZx1rHuTzB+DnlFrXUf8CmlVAlQTqS79Bta65qJDk4IIYQQYjKsruuhqdeL2aioru9na2s/lbmJrKnr5tdvVA/Vu/2JdTz0RQtnzMiY9BjHMqYNAK11jdb6Ba3181rrGqXUDKXUnyYyOCGEEEKIybCtxUUwpEHDa1vauHB2Fh5/iGXbO0bUfWVTSxQiHNs2VnOUUq8qpTYqpe5SSmUqpf4JvEFkKRAhhBBCiJjmsBgxDk69TImzMOALApDsGDmGLTPBNpmhDRlLS9ufgL8DVwDtwGpgJ5F12345gbEJIYQQQkyKedOSCAMGpbhsfi4PvFdLSpyFpeUZWIx706UEu4lzyzOjEqPaZ0Lo6BWUWqu1nrfP83qgUGsdmuDYxk1VVZVeuXJltMMQQgghxBRW0+aiuc+LAXB5Q3gDQXKS7HS7A9S09WO3GFlUlEJ5TuKExqGUWqW1rtq/fCxTH2xKqfnsXa+tH5ijlFIAWuvV4xemEEIIIUR0lGQ4Kclwjn6wYnJjGc1YkrYW4BcHeK6Bs8Y7KCGEEEIIMdxYlvw4YxLiEEIIIYQQBzGW2aNlSqlnB2ePPqaUyp2MwIQQQgghxF5jmT36APBvIrNHVwP3TWhEQgghhBBihLGMaXNqrfcsovszpZRMPBBCCCGEmGRHMnvUvu9zmT0qhBBCCDHxxpK0NSOzR4UQQgghomoss0fPHMuJlFJLtdavHX1IQgghhBBif2PeMH4M/m8czyWEEEIIIfYxnkmbOnQVIYQQQghxJMYzaTv4JqZCCCGEEOKIjWfSJoQQQgghJsh4Jm27xvFcQgghhBBiH4ecPaqUuvxgx7XWTw/+96D1hBBCCCHEkRvLOm1PAWsHv2D4hAMNPD2+IQkhhBBCiP2NJWm7ArgKmAM8Bzymta6e0KiEEEIIIaJAh8PocHjoscFojDxXCqUUymiMWmxjWVz3GeAZpVQccAnw/5RSqcB3tNbLJjpAIYQQQoiJpgMB3Bs2EGhqwpiYRNjVR9jrw+Cwowfc9H/4IcGmJpKuuIL4M87AlJoy6TGOpaVtDy/QC/QB+YBtQiISQgghhJhknvXr8a5bhzE5mVBbK32vvIrznHPw19TQ9cCDhAcGIvVWrybjjv8m9YYbJj3GQ84eVUqdqZS6H1gFnAn8Wms9X2v9yoRHJ4QQQggxCdzr1uGr3QUGA77tO4g7+STcK1ZAODyUsO3R8Yc/EmhtnfQYx9LS9gawHngPsALXKqWu3XNQa33bBMUmhBBCCDE5DEaUwQDKAEYDaI0yGUGN3PBJmUyjlk+0sSRt1yO7HcS05h43zb1ebCYDygD+IFhMBoxKkZloI9FujnaIQgghRFQ55s/HQ2Rsm3X6dHqef4GkT3yCQGNDpMu0u3uobvptt2HOyJj0GJXWx34+VlVVpVeuXBntMCZdIBRmQ0MPa+p7SI+3EtbwcW0nhalx/PndWtr7fcydlshPL5/DrOyEaIcrhBBCRI0Oh/Fs2kSgqRljfBxht5vQgDvyeMCNb8sWAm1tJFxwAXGLTsCYmDhhsSilVmmtq0aUHyppU0q9wPCWNg10AG9prf82rlFOkOM1aatu7WNtQy8rd3UzJy+Bzc39pDut3PvGDkLhvf+kc/IS+Ov1i0l0WKIYrRBCCCHgwEnbWLpHfz5KWQrwOaXUbK31N486OjEhej0BGro95CbbCWvFB9UdXDgne1jCBrC+oY/mPq8kbUIIIcQUNpZ12kZdi00p9TyRGaWStE1RVouRRLuZDpcPHJrCtDjMxpEThpMdZhJsMq5NCCGEmMqOeMN4rXXoaC+ulLpVKbVNKbVJKXXPPuXfUkpVDx47b5/yhUqpDYPH7lUqClM3YkhekoOZWU52dw6QYDNzzqwMtrb0cmFl1lAdg4KfXFZJTpI9ipEKIYQQ4lDGsmH8aEv+JgPXApuO9MJKqTOJ7LAwR2vtU0plDJaXA1cDFUAO8LpSavpgkvh74EbgI+BF4HzgpSON4ViX5LBQnp3AF08upKPfT4YzjtwkO95giE/MycEfDFOWEc/0LGe0QxVCCCHEIYxlTNsqIpMP9rRqhYFO4G3gK0dx7a8AP9Va+wC01m2D5ZcAjw+W1yqlqoFFSqldQILW+kMApdQjwKVI0nZQiQ4LCwtTox2GEEIIIY7SWLpHrwJO1loXaa2LgB8BLUS2sTqcbbD2Nx04VSn1sVJqmVLqhMHyXKB+n3oNg2W5g4/3LxdCCCGEOOaNJWn7A+ADUEqdBtwNPExkH9L7D/ZCpdTrSqmNo3xdQiThSwaWAHcATw6OURttnJo+SPmBrn2jUmqlUmple3v7oe9SCCGEEGIKG0tLmVFr3TX4+Crgfq31P4F/KqXWHuyFWutzDnRMKfUV4GkdWShuuVIqDKQRaUGbtk/VPKBpsDxvlPIDXft+BpPKqqqqY38FYSGEEEIc08bS0mZUSu1J7s4G3tzn2NF0jz4LnAWglJoOWIgs2vs8cLVSyqqUKgLKgOVa62bApZRaMtgidy3w3FFcXwghhBAiZowl6XoMWKaU6gA8wLsASqlSIl2kR+oB4AGl1EbAD1w32Oq2SSn1JLAZCAI377O8yFeAhwA7kQkIMglBCCGEEMeFMe09qpRaAmQDr2qtBwbLpgPxWuvVExvi0Ttet7ESQgghROw5mm2s0Fp/NErZ9vEITAghhBBCHNoR74gghBBCCCEmjyRtQgghhBAx4Ghmf4opZltLH2GtcVgM+AKaAX8Qs9GAyWAg3WklNd4a7RCFEEIIcYQkaTsGdPX7eG5dEw3dHqanOyhIi2dXh5ug1vz94zo2N/dRkOLg/66Yw5IS2dJKCCGEiEXSPXoMWF3Xw2/fqkZrTVlWAhua+tjY3MsfltWwubkPgN1dbq5/eAW1HQNRjlYIIYQQR0KStmPA1pY+FuQn8351Jx39Pvo8AZIdFhq6PcPquf0h6jolaRNCCCFikSRtx4B0p42mXg8FqQ4cVhM2s5FQWGM1jfznTXJYohChEEIIIY6WjGk7BszNS+SvwKKiFNCanEQb6xt6uOGUIn73ds1QvRtPK6Y0Iz56gQohhBBTmNvvpqanBlfAhdlgxhv0kmRLwhvy0u5uJ94Sz5y0OSTZkqIS35h2RIh1x8OOCDVtLra1uLCZjaTFm3H5Qrj9IYIhTa8nQEGqg4qcBBLs0tImhBBC7K/P38eqllVs6txEVlwW7za+y9XTr6bb1829a+6lsb8RgEVZi/jxST8mx5kzYbEc1Y4IYuoryXBSkuGMdhhCCCFETKrtqaW2rxar0Uq7u50ZyTPo9feyrGHZUMIGsLxlOR82f8gVzismPUYZ0yaEEEKI416Pv4eBwAAaTZe3i5y4HALhANu6t42ou7lzcxQilKRNCCGEEIJUWyqJlkS01qQ70qnpqcFqsDIvfd6IugsyF0x+gEjSJoQQQghBaVIpZUllWAwWMuwZuINu4i3xnJxz8lDiplBcXno5i7IWRSVGmYgghBBCCAGEwiF29e2i19eLURkJhAM4zU58IR+9/l4SLYnMSJmB1TSx20LKRAQhhBBCiIMwGoyUJJVEO4wDku5RIYQQQogYIEmbEEIIIUQMkKRNCCGEECIGSNImhBBCCBEDJGkTQgghhIgBkrQJIYQQQsQASdqEEEIIIWKAJG1CCCGEEDFAkjYhhBBCiBggSZsQQgghRAyQpE0IIYQQIgZI0iaEEEIIEQMkaRNCCCGEiAGStAkhhBBCxABJ2oQQQgghYoAkbUIIIYQQMUCSNiGEEEKIGCBJmxBCCCFEDJCkTQghhBAiBkjSJoQQQggRAyRpE0IIIYSIAaZoByDGx67eXdS76gnrMCm2FHp9vcSZ4uj2d9PmbiM7Lpt5GfNItCZGO1QhhBBCHAFJ2o4BO7p38Fz1c2TGZZIfn8/69vXkJ+Szom0F9625b6jeFWVX8PWqr+O0OKMYrRBCCCGOhHSPHgO2dm1lY8dGPmr+CKvJyruN79Lj6+HBjQ8Oq/fPHf+kuqc6SlEKIYQQ4mhI0hbjQuEQXd4uMuIy6PZ24w66yYnPod/fT3+gf0T9Hm/P5AcphBBCiKMmSVuMMxqMFCYUUttTy6zUWSRbk9nVu4s0exqlSaXD6poNZqYlTItSpEIIIYQ4GpK0HQPKU8v5UuWXSLOlsa1rG1+e82X6A/18Ze5XKE8tByArLotfnPELihOLoxytEEIIIY6E0lpHO4YJV1VVpVeuXBntMCZUMBykvq8ef8iP3WTHG/ISDocJE8Yf9pMdl01mXGa0wxRCCCHEISilVmmtq/Yvl9mjxwiTwURRUlG0wxBCCCHEBJHuUSGEEEKIGCBJmxBCCCFEDJCkTQghhBAiBkjSJoQQQggRAyRpE0IIIYSIAZK0CSGEEELEAEnahBBCCCFigCRtQgghhBAxQJI2IYQQQogYIEmbEEIIIUQMkKRNCCGEECIGSNImhBBCCBEDJGkTQgghhIgBkrQJIYQQQsQASdqEEEIIIWKAJG1CCCGEEDFAkjYhhBBCiBggSZsQQgghRAyQpE0IIYQQIgZI0iaEEEIIEQNM0Q5ACCGEAAgEAjQ0NOD1eqMdihCTwmazkZeXh9lsHlN9SdqEEEJMCQ0NDTidTgoLC1FKRTscISaU1prOzk4aGhooKioa02uke1QIIcSU4PV6SU1NlYRNHBeUUqSmph5Wy7IkbUIIIaYMSdjE8eRwv98laRNCCCGOYUajkXnz5g19/fSnPwXgjDPOYMaMGcydO5eTTz6Zbdu2AZGxhd/85jcpKytj9uzZLFq0iJdeeimatyAGyZg2IYQQ4hhmt9tZu3btqMceffRRqqqquP/++7njjjt4/vnn+e53v0tzczMbN27EarXS2trKsmXLJjdoMSppaRNCCCGOc6eddhrV1dW43W7+9Kc/cd9992G1WgHIzMzk05/+dJQjFCBJmxBCCHFM83g8w7pHn3jiiRF1XnjhBSorK6muriY/P5+EhIQoRCoORbpHhRBCiGPYwbpHP/vZz2K32yksLOS+++6ju7t7coMTh0WSNiGEEOI4tWdM2x6pqanU1dXhcrlwOp1RjEyMRrpHhRBCCAGAw+Hghhtu4LbbbsPv9wPQ3NzM3/72tyhHJkCSNiGEEOKYtv+Ytm9+85sHrX/XXXeRnp5OeXk5s2fP5tJLLyU9PX2SohUHo7TW0Y5hwlVVVemVK1dGOwwhhBAHsWXLFmbNmhXtMISYVKN93yulVmmtq/avKy1tQgghhBAxQJI2IYQQQogYIEmbEEIIIUQMkKRNCCGEECIGSNImhBBCCBEDJGkTQgghhIgBkrQJIYQQgNfrZdGiRcydO5eKigq+//3vA9DV1cXSpUspKytj6dKlQ1s9LV++fGjts7lz5/LMM88MneuMM85gxowZQ8fb2tqGjj355JOUl5dTUVHBNddcM1R+5513UlFRwaxZs7jtttvYf0muW2+9lfj4+KHnP/vZz4bOP3v2bIxGI11dXQAUFhZSWVnJvHnzhu14sMfPf/5zlFJ0dHQAsGvXLux2+9D5brrppqG6q1atorKyktLS0mFxvfPOOyxYsACTycRTTz01VH//c82bNw+/309vby+f/OQnh97fBx98cOg1L7/8MjNmzKC0tJSf/vSnQ+UHeu8B7r77bkpLS5kxYwavvPLKUPm+915ZWclzzz036rF935cvfOELFBUVMW/ePGbOnMkPf/jDoWNaa77zne8wffp0Zs2axb333gvAQw89RHp6+rD73Lx5MwB1dXWce+65zJo1i/Lycnbt2jXi3+CIaK2j8gXMAz4C1gIrgUX7HPsWUA1sA87bp3whsGHw2L0MrjN3qK+FCxdqIYQQU9vmzZujev1wOKxdLpfWWmu/368XLVqkP/zwQ33HHXfou+++W2ut9d13363vvPNOrbXWAwMDOhAIaK21bmpq0unp6UPPTz/9dL1ixYoR19i+fbueN2+e7urq0lpr3draqrXW+v3339cnnXSSDgaDOhgM6iVLlui33npr6HUrVqzQn/vc53RcXNyosT///PP6zDPPHHpeUFCg29vbR61bV1enzz33XJ2fnz9Up7a2VldUVIxa/4QTTtAffPCBDofD+vzzz9cvvvji0GvWrVunP//5z+t//OMfQ/UPdK6f/OQnQ+9dW1ubTk5O1j6fTweDQV1cXKxramq0z+fTc+bM0Zs2bdJa6wO+95s2bdJz5szRXq9X79y5UxcXF+tgMDji3rdu3arz8/MP+b5cd911Q/fg8Xh0UVGR3rlzp9Za6wceeEB//vOf16FQSGu999/swQcf1DfffPOo79npp5+uX331Va211i6XSw8MDIxaT+vRv++BlXqUfCaaLW33AD/UWs8Dvjf4HKVUOXA1UAGcD/xOKWUcfM3vgRuBssGv8yc5ZiGEEFPEs2saOfmnb1L0zX9z8k/f5Nk1jUd1PqXUUEtWIBAgEAiglOK5557juuuuA+C6667j2WefBSJbPplMkS28vV4vSqlDXuNPf/oTN998M8nJyQBkZGQMXdvr9eL3+/H5fAQCATIzMwEIhULccccd3HPPPQc872OPPcZnPvOZMd3n7bffzj333DOmeJubm+nr6+PEE09EKcW11147dP+FhYXMmTMHg2FsqYRSCpfLhdaa/v5+UlJSMJlMLF++nNLSUoqLi7FYLFx99dVDrWMHeu+fe+45rr76aqxWK0VFRZSWlrJ8+fIR1+zr6xt6r8fK6/UCEBcXB8Dvf/97vve97w3d555/swPZvHkzwWCQpUuXAhAfH4/D4TisGA4kmkmbBhIGHycCTYOPLwEe11r7tNa1RFrVFimlsoEErfWHg1noI8ClkxyzEEKIKeDZNY186+kNNPZ40EBjj4dvPb3hqBO3UCjEvHnzyMjIYOnSpSxevJjW1lays7MByM7OHtbV+fHHH1NRUUFlZSV/+MMfhpI4gC9+8YvMmzePH//4x0Nditu3b2f79u2cfPLJLFmyhJdffhmAE088kTPPPJPs7Gyys7M577zzhlbJ/81vfsPFF188FMP+3G43L7/8MldcccVQmVKKc889l4ULF3L//fcPlT///PPk5uYyd+7cEeepra1l/vz5nH766bz77rsANDY2kpeXN1QnLy+PxsZDv8c1NTVDXYY333wzALfccgtbtmwhJyeHyspKfv3rX2MwGGhsbGTatGmjXuNA7/3BXgNw5plnMnv2bE4//XTuuuuuQ74vAHfccQfz5s0jLy+Pq6++eig5q6mp4YknnqCqqooLLriAHTt2DL3miSeeGNY96vF42L59O0lJSVx++eXMnz+fO+64g1AodMj3bCxMh64yYb4GvKKU+jmR5PGkwfJcIt2mezQMlgUGH+9fLoQQ4jjzs1e24QkM/0XoCYT42SvbuHT+kf9qMBqNrF27lp6eHi677DI2btx40PqLFy9m06ZNbNmyheuuu44LLrgAm83Go48+Sm5uLi6XiyuuuIK//vWvXHvttQSDQXbs2MHbb79NQ0MDp556Khs3bqSjo4MtW7bQ0BD5Nbd06VLeeecdSktL+cc//sHbb799wBheeOEFTj75ZFJSUobK3n//fXJycmhra2Pp0qXMnDmTqqoqfvKTn/Dqq6+OOEd2djZ1dXWkpqayatUqLr30UjZt2jRiXB0wpha6kpIS1q5dO6zslVdeYd68ebz55pvU1NSwdOlSTj311CO6xqFe89Zbb5GWlkZNTQ1nn302Z5xxBvHx8aO+L6eddhoQGSN45ZVX0t/fz9lnn80HH3zASSedhM/nw2azsXLlSp5++mmuv/76oaT2qquu4je/+c2wOILBIO+++y5r1qwhPz+fq666ioceeogbbrjhkO/boUxoS5tS6nWl1MZRvi4BvgLcrrWeBtwO/GXPy0Y5lT5I+YGufaNSaqVSamV7e/vR3ooQQogppKnHc1jlhyspKYkzzjiDl19+mczMTJqbm4FId+Fo3WOzZs0iLi5uKMnLzY0kjk6nk2uuuWao6y4vL49LLrkEs9lMUVERM2bMYMeOHTzzzDMsWbKE+Ph44uPjueCCC/joo49Ys2YN1dXVlJaWUlhYiNvtprS0dNi1H3/88RFdozk5OUCkK++yyy5j+fLl1NTUUFtby9y5cyksLKShoYEFCxbQ0tKC1WolNTUVgIULF1JSUsL27dvJy8sbSiQBGhoahs59uB588EEuv/xylFKUlpZSVFTE1q1bycvLo76+ftRrHOi9P9hr9lVSUkJmZubQBIHR3pf9xcfHc8YZZ/Dee+8NXWtPK+Zll13G+vXrD3qfeXl5zJ8/n+LiYkwmE5deeimrV68e25t0CBOatGmtz9Fazx7l6zngOuDpwar/ABYNPm4Apu1zmjwiXacNg4/3Lz/Qte/XWldpravS09PH65aEEEJMATlJ9sMqH4v29nZ6enoA8Hg8vP7668ycOZOLL76Yhx9+GICHH36YSy65BIh0JwaDQQB2797Ntm3bKCwsJBgMDs3KDAQC/Otf/2L27NkAXHrppbz11lsAdHR0sH37doqLi8nPz2fZsmUEg0ECgQDLli1j1qxZXHTRRbS0tLBr1y527dqFw+Ggurp6KObe3l6WLVs2FBPAwMAALpdr6PGrr77K7NmzqayspK2tbehceXl5rF69mqysLNrb24e68Hbu3MmOHTsoLi4mOzsbp9PJRx99hNaaRx55ZNi1Dkd+fj5vvPEGEOn23LZtG8XFxZxwwgns2LGD2tpa/H4/jz/+OBdffDHAAd/7iy++mMcffxyfz0dtbS07duxg0aJFI67Z1tZGbW0tBQUFB3xf9hcMBvn4448pKSkZ+jd78803AVi2bBnTp08/6H2ecMIJdHd3s6fB6M0336S8vPyw369RjTY7YTK+gC3AGYOPzwZWDT6uANYBVqAI2AkYB4+tAJYQaXV7CbhwLNeS2aNCCDH1Hc7s0WdWN+iZ//OSLvjGv4a+Zv7PS/qZ1Q1HfP1169bpefPm6crKSl1RUaF/+MMfaq217ujo0GeddZYuLS3VZ511lu7s7NRaa/3II4/o8vJyPXfuXD1//nz9zDPPaK217u/v1wsWLNCVlZW6vLxc33bbbUMzG8PhsL799tv1rFmz9OzZs/Vjjz2mtdY6GAzqG2+8Uc+cOVPPmjVL33777aPGuP/s0QcffFBfddVVw8pqamr0nDlz9Jw5c3R5ebm+6667Rj3XvjMpn3rqKV1eXq7nzJmj58+fr59//vmheitWrNAVFRW6uLhY33zzzTocDmuttV6+fLnOzc3VDodDp6Sk6PLycq31gWePNjY26qVLl+rZs2friooK/de//nXo2L///W9dVlami4uLh8V7oPdea63vuusuXVxcrKdPnz40o3XPfc2ePVvPnTtXl5eX67/85S+HfF+uu+46XVhYqOfOnatnzZqlb7nllqH77O7u1hdeeKGePXu2XrJkiV67du3Qe5+Wlqbnzp079PX+++9rrbV+9dVXdWVlpZ49e7a+7rrrtM/nG/XfQOvDmz2q9Cj9wpNBKXUK8Gsi4+q8wFe11qsGj30HuB4IAl/TWr80WF4FPATYiSRtt+ox3EBVVZVeuXLlRNyGEEKIcbJly5ahwfdj8eyaRn72yjaaejzkJNm547wZRzWeTYhoGO37Xim1Sms9YoG9qE1E0Fq/R2TdtdGO/QT4ySjlK4GRbZlCCCGOO5fOz5UkTRxXZEcEIYQQQogYIEmbEEIIIUQMkKRNCCGEECIGSNImhBBCCBEDJGkTQgghhIgBkrQJIYQQRDYKX7RoEXPnzqWiooLvf//7AHR1dbF06VLKyspYunQp3d3dACxfvnxoz8m5c+fyzDPPDJ3rjDPOYMaMGUPH992v9Mknn6S8vJyKigquueaaofI777yTiooKZs2axW233TZiq6Zbb711aEN7iGy7tOf8s2fPxmg00tXVBUQ2c6+srGTevHlUVY1YOYKf//znKKWGFgHetWsXdrt96Hw33XTTUN1Vq1ZRWVlJaWnpsLjeeecdFixYgMlk4qmnnhqqv/+55s2bh9/vR2vNbbfdRmlpKXPmzBm2S8DLL7/MjBkzKC0t5af/v717j4rqShO//z2CgSh2VFREKgSKUu5QKiLqJII2KrGD0jqGmChJZronb5s47byjK+9ktelMzNI26ZVOxo7+kk7SmkmL0Y7x1j/ipFU03vDuSDAglxgMisYbIpcqeN4/qjiCXETTaQM8n7VqUbVr7332eaqUzd7n7L1kiZneWuwBFi9ejM1mIzQ0lE8//dRMb3zu0dHR5ubzbcXlySefJDg4GLvdTlhYGC+99JL5nojwwgsvMGTIEMLDw3nzzTcBOHnyJKNGjcLLy4vXXnutWYzr6uoYOnQoP/nJT5q9d8daWrytsz10cV2llPrhu53Fdb8P9fX1UlFRISIitbW1Eh8fL3v37pX58+fL4sWLRURk8eLFsmDBAhERqaysFIfDISIi33zzjfTv3998PXbsWDlw4ECzY+Tn54vdbpeLFy+KiMi5c+dERGT37t0yevRocTqd4nQ6JSEhQbZv326WO3DggDzxxBPNFtdtsHHjRklKSjJfN14492anT5+WCRMmSGBgoJmntQVxRURGjBghe/bskfr6epk0aZK5kG1xcbEcO3ZMZs2aJWvXrjXzt1bXli1bZNKkSVJfXy979+6V+Ph4EXEtLGy1WqWwsFBqamokJiZGcnNzRURajX1ubq7ExMRIdXW1FBUVidVqNRcwbnzuJ0+elMDAwFvGJSMjwzyHqqoqCQ4OlqKiIhERee+992TWrFlSV1cnIjc+s3PnzklOTo78x3/8h7z66qvN6vztb38rjz32mEyePLnFuDa4ncV1daRNKaVUx3T8I3g9Cn7d2/Xz+EffqTrDMMyRLIfDgcPhwDAMNmzYQEZGBgAZGRl88sknAPTo0QNPT9dyp9XV1e3aSP2dd95hzpw59OnTB8DcS9MwDKqrq6mtraWmpgaHw4Gfnx/gGrGZP38+S5cubbXe1atXN9t/tDXz5s1j6dKl7WpvWVkZV69eZdSoURiGwezZs83zDwoKIiYmhm7d2teV2LBhA7Nnz8YwDBISErh8+TJlZWXk5ORgs9mwWq3cc889pKenm6NjrcV+w4YNpKen4+XlRXBwMDabrcV9RK9evWrGur2qq6sB6NmzJwDLly9n4cKF5nk2fGYDBgxgxIgRdO/evVkdpaWlbNmyhX/+53++rWPfinbalFJKdTzHP4JNc+HK14C4fm6a+507bnV1ddjtdgYMGEBycjIjR47k3Llz+Pv7A+Dv799kqnP//v1ERkYSHR3NihUrzE4cwFNPPYXdbufll182pxTz8/PJz89nzJgxJCQkkJWVBcCoUaNISkrC398ff39/Jk6caK6Sv2zZMlJTU8023Oz69etkZWWZm5qDqxM4YcIEhg8fzttvv22mb9y4kYCAAGJjY5vVU1xczNChQxk7diy7du0C4MyZM1gsN7b9tlgsnDlz5pZxLCwsNKdG58yZY9Z1//03thZvqKu1dKDV2LdVBiApKYmoqCjGjh3LokWLbhkXgPnz52O327FYLKSnp5uds8LCQtasWUNcXBwpKSkUFBTc8vx/+ctfsnTp0nZ3aNvrru2IoJRSSt2xv/4nOKqapjmqXOkxM+64Wg8PD44ePcrly5dJS0vjxIkTbeYfOXIkubm55OXlkZGRQUpKCt7e3nz44YcEBARQUVHBtGnT+OCDD5g9ezZOp5OCggJ27NhBaWkpDz74ICdOnODChQvk5eVRWloKQHJyMjt37sRms7F27Vp27NjRahs2bdrEmDFj6Nu3r5m2e/duBg0aRHl5OcnJyYSFhREXF8crr7zC1q1bm9Xh7+/P6dOn8fX15dChQ0ydOpXc3Nxm19UB7RqhCwkJ4ejRo03SWqvrTo5xqzLbt2+nX79+FBYWMn78eBITE/Hx8WkxLg899BDgukZw+vTpXLt2jfHjx7Nnzx5Gjx5NTU0N3t7eHDx4kI8//pinn37a7NS2ZPPmzQwYMIDhw4e3+bndCR1pU0op1fFcKb299NvUu3dvEhMTycrKws/Pj7KyMsA1XdgwAtNYeHg4PXv2NDt5AQGu7bV69erFzJkzzak7i8XClClT6N69O8HBwYSGhlJQUMD69etJSEjAx8cHHx8fUlJS2LdvH0eOHOHUqVPYbDaCgoK4fv06NputybEzMzObTY0OGjQIcE3hpaWlkZOTQ2FhIcXFxcTGxhIUFERpaSnDhg3j7NmzeHl54evrC8Dw4cMJCQkhPz8fi8VidiTBNe3XUPftslgsfP31183qai0daDX2bZVpLCQkBD8/P7744otW43IzHx8fEhMT+fzzz81jNYxipqWlcfz48TbPc/fu3WzcuJGgoCDS09PZtm0bTzzxxC2i0z7aaVNKKdXx3Ge5vfR2OH/+PJcvXwagqqqKzz77jLCwMFJTU1m5ciUAK1euZMqUKYBrOtHpdALw1Vdf8eWXXxIUFITT6TTvynQ4HGzevJmoKNe22VOnTmX79u0AXLhwgfz8fKxWK4GBgWRnZ+N0OnE4HGRnZxMeHs7kyZM5e/YsJSUllJSU0KNHD06dOmW2+cqVK2RnZ5ttAqisrKSiosJ8vnXrVqKiooiOjqa8vNysy2KxcPjwYQYOHMj58+epq6sDoKioiIKCAqxWK/7+/vTq1Yt9+/YhIqxatarJsW5Hamoqq1atQkTYt28f9913H/7+/owYMYKCggKKi4upra0lMzOT1NRUs0xLsU9NTSUzM5OamhqKi4spKCggPj6+2THLy8spLi7mgQceaDUuN3M6nezfv5+QkBDzM9u2bRsA2dnZDBkypM3zXLx4MaWlpZSUlJCZmcm4ceP47//+7zuK2c10elQppVTHM36h6xq2xlOk3e91pd+hsrIyMjIyqKuro76+nhkzZvCTn/yEUaNGMWPGDN59910CAwNZu3YtAJ9//jlLliyhe/fudOvWjbfeeot+/fpRWVnJxIkTcTgc1NXV8eMf/5if/exnAEycOJGtW7cSERGBh4cHr776Kr6+vkyfPp1t27YRHR2NYRhMmjSJRx555JZtXr9+PRMmTDAvmgfXdWBpaWmAqwMyc+ZMJk2a1GY9O3fuZOHChXh6euLh4cGKFSvM6dbly5fz5JNPUlVVRUpKCikpKQAcOHCAtLQ0Ll26xKZNm3jxxRfJzc1t9RgPP/wwf/nLX7DZbPTo0YP3338fAE9PT5YtW8bEiROpq6vj6aefJjIyEoDnn3++xdhHRkYyY8YMIiIi8PT05Pe//z0eHh7msZKSkvDw8MDhcLBkyRL8/PwoKipqMy7z589n0aJF1NbWMn78eH7605+abXj88cd5/fXX8fHx4Q9/+AMAZ8+eJS4ujqtXr9KtWzd+97vf8cUXX/CjH/3oVh/bHTNamhfubOLi4uTgwYN3uxl3xdVvr3O5vIraKifePbvjqKnHwxPu8e5OdaWDim+r8ejejYHW++jr3/PWFSql1PckLy/PvPi+XY5/5LqG7Uqpa4Rt/MLvdD2bUndDS997wzAOiUizBfZ0pK0Tq6qo4eu8S3z9xUWCY/tx6ex1LpRWEDrSn0tnK9m1pgBHjWs4/N5e3Zkybyi+g3xuUatSSv1AxMzQTprqUvSatk7s2zOVXL9Si2+AD9XXnXz1v98SGOFL1bUavjrxrdlhA6iqcFB05PxdbK1SSiml2qKdtk6spspJfZ3QzcMAEa5dquYeb0+kTrh2qaZZ/ivnq1qoRSmllFI/BNpp68R6D+iBVw9PrpyvoptnNwIjfbl0tpJ77u2OJaz5CtFWe7+70EqllFJKtYde09aJ+Qb4UFPlwLO7wT33euJ9vw/fflNJP0tPBtl64xhfR97nZXTzNBjxcDCDBt/eVh9KKaWU+vvRTlsnN8jWh/v696DqWi2ent3oF9iLurp6evXrTs8+9xA6ciDePbvzI99773ZTlVJKKdUGnR7tAnre50W/gF709utJH7+e9BvUi159vPEd1IsBgT/SDptSSuHaKDw+Pp7Y2FgiIyN58cUXAbh48SLJyckMHjyY5ORkLl26BEBOTo65v2ZsbCzr168360pMTCQ0NNR8v/F+pR999BERERFERkYyc+ZMM33BggVERkYSHh7O3Llzm23V9Nxzz5kb2oNr26WG+qOiovDw8ODixYuAazP36Oho7HY7cXHNVo7gtddewzAMcxHgkpIS7r33XrO+Z555xsx76NAhoqOjsdlsTdq1c+dOhg0bhqenJ+vWrTPz31yX3W6ntrYWEWHu3LnYbDZiYmI4fPiwWSYrK4vQ0FBsNhtLliwx01uLPbgWsbXZbISGhvLpp5+a6Y3PPTo62tx8vq24PPnkkwQHB2O32wkLC+Oll14y3xMRXnjhBYYMGUJ4eDhvvvkm4Nq0PiYmxqyrYQeFr7/+mqSkJMLDw4mMjOSNN95oFv87JiKd/jF8+HBRSin1w/bFF1/c1ePX19dLRUWFiIjU1tZKfHy87N27V+bPny+LFy8WEZHFixfLggULRESksrJSHA6HiIh888030r9/f/P12LFj5cCBA82OkZ+fL3a7XS5evCgiIufOnRMRkd27d8vo0aPF6XSK0+mUhIQE2b59u1nuwIED8sQTT0jPnj1bbPvGjRslKSnJfP3AAw/I+fPnW8x7+vRpmTBhggQGBpp5iouLJTIyssX8I0aMkD179kh9fb1MmjRJ/vKXv5hljh07JrNmzZK1a9ea+Vura8uWLTJp0iSpr6+XvXv3Snx8vIiIOJ1OsVqtUlhYKDU1NRITEyO5ubkiIq3GPjc3V2JiYqS6ulqKiorEarWK0+lsdu4nT56UwMDAW8YlIyPDPIeqqioJDg6WoqIiERF57733ZNasWVJXVyciNz6ziooKqa+vFxGRY8eOSWhoqIi4vguHDh0SEZGrV6/K4MGDzfNpSUvfe+CgtNCf0ZE2pZRSHdKWoi1MWDeBmJUxTFg3gS1FW75TfYZhmCNZDocDh8OBYRhs2LCBjIwMADIyMvjkk08A6NGjB56erquMqqur27WR+jvvvMOcOXPo08d1DXHDXpqGYVBdXU1tbS01NTU4HA78/PwAqKurY/78+SxdurTVelevXt1s/9HWzJs3j6VLl7arvWVlZVy9epVRo0ZhGAazZ882zz8oKIiYmBi6dWtfV2LDhg3Mnj0bwzBISEjg8uXLlJWVkZOTg81mw2q1cs8995Cenm6OjrUW+w0bNpCeno6XlxfBwcHYbLYW9xG9evWqGev2qq6uBjB3mVi+fDkLFy40z7PhM/Px8TFjWFlZaT739/dn2LBhgGvv2fDwcM6cOXNbbWiNdtqUUkp1OFuKtvDrPb+mrLIMQSirLOPXe379nTtudXV12O12BgwYQHJyMiNHjuTcuXP4+/sDrl/Ijac69+/fT2RkJNHR0axYscLsxAE89dRT2O12Xn75ZXNKMT8/n/z8fMaMGUNCQgJZWVkAjBo1iqSkJPz9/fH392fixInmKvnLli0jNTXVbMPNrl+/TlZWlrmpObg6gRMmTGD48OG8/fbbZvrGjRsJCAggNja2WT3FxcUMHTqUsWPHsmvXLgDOnDmDxXJjP1eLxdKuDkhhYaE5NTpnzhyzrvvvv79ZXa2lA63Gvq0y4NrGKioqirFjx7Jo0aJbxgVc21jZ7XYsFgvp6elm56ywsJA1a9YQFxdHSkoKBQUFZpn169cTFhbG5MmTee+995rFoaSkhCNHjjBy5Mhbxqw99EYEpZRSHc4bh9+guq66SVp1XTVvHH6DydbJd1yvh4cHR48e5fLly6SlpXHixIk2848cOZLc3Fzy8vLIyMggJSUFb29vPvzwQwICAqioqGDatGl88MEHzJ49G6fTSUFBATt27KC0tJQHH3yQEydOcOHCBfLy8igtLQUgOTmZnTt3YrPZWLt2LTt27Gi1DZs2bWLMmDHmXqEAu3fvZtCgQZSXl5OcnExYWBhxcXG88sorbN26tVkd/v7+nD59Gl9fXw4dOsTUqVPJzc1tdl0d0K4RupCQEI4ePdokrbW67uQYtyqzfft2+vXrR2FhIePHjycxMREfH58W4/LQQw8BrmsEp0+fzrVr1xg/fjx79uxh9OjR1NTU4O3tzcGDB/n44495+umnzU5tWloaaWlp7Ny5k1/96ld89tlnZhuuXbvGtGnT+N3vfvc3249UR9qUUkp1OGcrz95W+u3q3bs3iYmJZGVl4efnR1lZGeCaLmwYgWksPDycnj17mp28gIAAwDU9NnPmTHPqzmKxMGXKFLp3705wcDChoaEUFBSwfv16EhIS8PHxwcfHh5SUFPbt28eRI0c4deoUNpuNoKAgrl+/js1ma3LszMzMZlOjgwYNAlxTeWlpaeTk5FBYWEhxcTGxsbEEBQVRWlrKsGHDOHv2LF5eXvj6+gIwfPhwQkJCyM/Px2KxmB1JgNLSUrPu22WxWPj666+b1dVaOtBq7Nsq01hISAh+fn588cUXrcblZj4+PiQmJpo3FlgsFnMUMy0tjePHjzcr89BDD1FYWGje2OFwOJg2bRqPP/64ufH834J22pRSSnU4A3sOvK309jh//jyXL18GoKqqis8++4ywsDBSU1NZuXIlACtXrmTKlCmAazrR6XQC8NVXX/Hll18SFBSE0+ls8st78+bNREVFATB16lS2b98OwIULF8jPz8dqtRIYGEh2djZOpxOHw0F2djbh4eFMnjyZs2fPUlJSQklJCT169ODUqVNmm69cuUJ2drbZJnBdX1VRUWE+37p1K1FRUURHR1NeXm7WZbFYOHz4MAMHDuT8+fPU1bm2NiwqKqKgoACr1Yq/vz+9evVi3759iAirVq1qcqzbkZqayqpVqxAR9u3bx3333Ye/vz8jRoygoKCA4uJiamtryczMJDU11SzTUuxTU1PJzMykpqaG4uJiCgoKiI+Pb3bM8vJyiouLeeCBB1qNy82cTif79+8nJCTE/My2bdsGQHZ2NkOGDAHg1KlT5ojf4cOHqa2txdfXFxHhn/7pnwgPD+ff/u3f7ihWrWrp7oTO9tC7R5VS6ofvdu4e3Vy4WeI+iJOoP0aZj7gP4mRz4eY7Pv6xY8fEbrdLdHS0REZGyksvvSQiIhcuXJBx48aJzWaTcePGybfffisiIqtWrZKIiAiJjY2VoUOHyvr160VE5Nq1azJs2DCJjo6WiIgImTt3rnlnY319vcybN0/Cw8MlKipKVq9eLSKuOyh//vOfS1hYmISHh8u8efNabOPNd4++//778uijjzZJKywslJiYGImJiZGIiAhZtGhRi3U1vpNy3bp1EhERITExMTJ06FDZuHGjme/AgQMSGRkpVqtV5syZY94xmZOTIwEBAdKjRw/p27evREREiEjrd4/W19fLL37xC7FarRIVFdXk7totW7bI4MGDxWq1Nmlva7EXEVm0aJFYrVYZMmSIeUdrw3lFRUVJbGysREREyLvvvnvLuGRkZEhQUJDExsZKeHi4PPvss+Z5Xrp0SR5++GGJioqShIQEOXr0qIiILFmyxPz8ExISZNeuXSIismvXLgEkOjpaYmNjJTY2VrZs2dLiZyBye3ePGtLCvHBnExcXJwcPHrzbzVBKKdWGvLw88+L79thStIU3Dr/B2cqzDOw5kH8d9q/f6Xo2pe6Glr73hmEcEpFmC+zpjQhKKaU6pMnWydpJU12KXtOmlFJKKdUBaKdNKaWUUqoD0E6bUkoppVQHoJ02pZRSSqkOQDttSimllFIdgHbalFJKKVwbhcfHxxMbG0tkZCQvvvgiABcvXiQ5OZnBgweTnJzMpUuXAMjJyTH314yNjWX9+vVmXYmJiYSGhprvN96v9KOPPiIiIoLIyEhmzpxppi9YsIDIyEjCw8OZO3dus62annvuOXNDe3Btu9RQf1RUFB4eHly8eBFwbeYeHR2N3W4nLq7ZyhG89tprGIZhLgJcUlLCvffea9b3zDPPmHkPHTpEdHQ0NputSbt27tzJsGHD8PT0ZN26dWb+m+uy2+3U1tZy5coVHnnkETO+77//vlkmKyuL0NBQbDYbS5YsMdNbiz3A4sWLsdlshIaG8umnn5rpjc89Ojra3Hy+rbg8+eSTBAcHY7fbCQsL46WXXjLfExFeeOEFhgwZQnh4OG+++WaTWE6ZMoVRo0Y1SfvjH/9I//79zfP/wx/+0OwzuCMtLd7W2R66uK5SSv3w3c7iut+H+vp6qaioEBGR2tpaiY+Pl71798r8+fNl8eLFIiKyePFiWbBggYiIVFZWisPhEBGRb775Rvr372++Hjt2bJPFYxvk5+eL3W6XixcviojIuXPnRERk9+7dMnr0aHE6neJ0OiUhIUG2b99uljtw4IA88cQTzRbXbbBx40ZJSkoyXzdeOPdmp0+flgkTJkhgYKCZp7UFcUVERowYIXv27JH6+nqZNGmSuZBtcXGxHDt2TGbNmiVr164187dW1yuvvGLGrry8XPr06SM1NTXidDrFarVKYWGh1NTUSExMjOTm5oqItBr73NxciYmJkerqaikqKhKr1WouYNz43E+ePCmBgYG3jEtGRoZ5DlVVVRIcHCxFRUUiIvLee+/JrFmzpK6uTkRufGYiroV3LRaLhIWFmflFXIsez5kzp8V43ux2FtfVkTallFId0pVNmygYN5688AgKxo3nyqZN36k+wzDMkSyHw4HD4cAwDDZs2EBGRgYAGRkZfPLJJwD06NEDT0/XcqfV1dXt2kj9nXfeYc6cOfTp0wfA3EvTMAyqq6upra2lpqYGh8OBn58fAHV1dcyfP5+lS5e2Wu/q1aub7T/amnnz5rF06dJ2tbesrIyrV68yatQoDMNg9uzZ5vkHBQURExNDt27t60oYhkFFRQUiwrVr1+jbty+enp7k5ORgs9mwWq3cc889pKenm6NjrcV+w4YNpKen4+XlRXBwMDabrcV9RK9evWrGur2qq6sB6NmzJwDLly9n4cKF5nk23nv2z3/+M4888gjp6elkZmbe1nHuhHbalFJKdThXNm2i7FcLcX7zDYjg/OYbyn618Dt33Orq6rDb7QwYMIDk5GRGjhzJuXPn8Pf3B8Df37/JVOf+/fuJjIwkOjqaFStWmJ04gKeeegq73c7LL79sTinm5+eTn5/PmDFjSEhIICsrC4BRo0aRlJSEv78//v7+TJw40Vwlf9myZaSmppptuNn169fJysoyNzUHVwdpwoQJDB8+nLfffttM37hxIwEBAcTGxjarp7i4mKFDhzJ27Fh27doFwJkzZ7BYLGYei8XCmTNnbhnHwsJCc2pwzpw5ADz77LPk5eUxaNAgoqOjeeONN+jWrRtnzpzh/vvvb/EYrcW+rTIASUlJREVFMXbsWBYtWnTLuADMnz8fu92OxWIhPT3d7JwVFhayZs0a4uLiSElJoaCgwCzT0Fl+7LHHWL16dZP6/vznPxMTE8P06dObbG7/XeiOCEoppTqc8td/h7hHRBpIdTXlr/+O+x555I7r9fDw4OjRo1y+fJm0tDROnDjRZv6RI0eSm5tLXl4eGRkZpKSk4O3tzYcffkhAQAAVFRVMmzaNDz74gNmzZ+N0OikoKGDHjh2Ulpby4IMPcuLECS5cuEBeXh6lpaUAJCcns3PnTmw2G2vXrmXHjh2ttmHTpk2MGTOGvn37mmm7d+9m0KBBlJeXk5ycTFhYGHFxcbzyyits3bq1WR3+/v6cPn0aX19fDh06xNSpU8nNzW12XR3QrhG6kJAQjh492iTt008/xW63s23bNgoLC0lOTubBBx+8o2Pcqsz27dvp168fhYWFjB8/nsTERHx8fFqMy0MPPQS4rhGcPn06165dY/z48ezZs4fRo0dTU1ODt7c3Bw8e5OOPP+bpp59m165dnDt3jlOnTvEP//APGIaBp6cnJ06cICoqikceeYTHHnsMLy8vVqxYQUZGhrnp/HehI21KKaU6HGdZ2W2l367evXuTmJhIVlYWfn5+lLnrLSsrazI91iA8PJyePXuanbyAgAAAevXqxcyZM82pO4vFwpQpU+jevTvBwcGEhoZSUFDA+vXrSUhIwMfHBx8fH1JSUti3bx9Hjhzh1KlT2Gw2goKCuH79OjabrcmxMzMzm02NDho0CHBN5aWlpZGTk0NhYSHFxcXExsYSFBREaWkpw4YN4+zZs3h5eeHr6wvA8OHDCQkJIT8/H4vFYnYkAUpLS826b9f777/PT3/6UwzDwGazERwczMmTJ7FYLE1Gohofo7XYt1WmsZCQEPz8/Pjiiy9ajcvNfHx8SExM5PPPPzeP1TCKmZaWxvHjxwFYs2YNly5dIjg4mKCgIEpKSswpUl9fX7y8vAD42c9+xqFDh+4oZjfTTptSSqkOx7OVqcLW0tvj/PnzXL58GYCqqio+++wzwsLCSE1NZeXKlQCsXLmSKVOmAK7pRKfTCcBXX33Fl19+SVBQEE6n07wr0+FwsHnzZqKiogCYOnUq27dvB+DChQvk5+djtVoJDAwkOzsbp9OJw+EgOzub8PBwJk+ezNmzZykpKaGkpIQePXpw6tQps81XrlwhOzvbbBNAZWUlFRUV5vOtW7cSFRVFdHQ05eXlZl0Wi4XDhw8zcOBAzp8/T11dHQBFRUUUFBRgtVrx9/enV69e7Nu3DxFh1apVTY51OwIDA/nrX/8KuKY9v/zyS6xWKyNGjKCgoIDi4mJqa2vJzMwkNTUVoNXYp6amkpmZSU1NDcXFxRQUFBAfH9/smOXl5RQXF/PAAw+0GpebOZ1O9u/fT0hIiPmZNYySZWdnM2TIEMA1NZqVlWXG89ChQ2anrazRHw8bN25stiH8HWvp7oTO9tC7R5VS6ofvdu4evbxxo+TF2uWL0DDzkRdrl8sbN97x8Y8dOyZ2u12io6MlMjJSXnrpJRERuXDhgowbN05sNpuMGzdOvv32WxERWbVqlUREREhsbKwMHTpU1q9fLyIi165dk2HDhkl0dLRERETI3LlzzTsb6+vrZd68eRIeHi5RUVGyevVqERFxOp3y85//XMLCwiQ8PFzmzZvXYhtvvnv0/fffl0cffbRJWmFhocTExEhMTIxERETIokWLWqyr8Z2U69atk4iICImJiZGhQ4fKxkZxPHDggERGRorVapU5c+ZIfX29iIjk5ORIQECA9OjRQ/r27SsREREi0vrdo2fOnJHk5GSJioqSyMhI+eCDD8z3tmzZIoMHDxar1dqkva3FXkRk0aJFYrVaZciQIeYdrQ3nFRUVJbGxsRIRESHvvvvuLeOSkZEhQUFBEhsbK+Hh4fLss8+a53np0iV5+OGHJSoqShISEuTo0aNSXFwsgwYNMvM0GDp0qOzbt0+ef/55M56JiYmSl5fX4mcgcnt3jxrSwrxwZxMXFycHDx68281QSinVhry8vNsakbiyaRPlr/8OZ1kZnv7+DJj3y+90PZtSd0NL33vDMA6JSLMF9vRGBKWUUh3SfY88op001aXoNW1KKaWUUh2AjrR1duUn4XIJlH8J9wXAtQtgiQMMqDwHX+eApxcEPwhB/3C3W6uUUkqpVuhIW2d2pRS+2g2b/w2cVfB/58OP/KBbN7jyFXw0C3a/DtlL4MN/hK/23O0WK6WUUqoV2mnrzMrzoLIcrn8LzhpXmlcfqHPC8Uyod97I67gOeZvvTjuVUkopdUvaaevMHFVQXwce3cFZDZ73guc9gEBNRfP8VRf/7k1USimlVPtop60z6zcE7u3rGmXrNRAqyqD6EhgeEN7C4ogRd7ZgolJKdQbV1dXEx8cTGxtLZGQkL774IgAXL14kOTmZwYMHk5yczKVLlwDIyckx99eMjY1l/fr1Zl2JiYmEhoaa7zfer/Sjjz4iIiKCyMhIZs6caaYvWLCAyMhIwsPDmTt3brOtmp577jlzQ3twbbvUUH9UVBQeHh5cvOj64zsoKIjo6Gjsdjtxcc1WjuC1117DMAxzEeCSkhLuvfdes75nnnnGzHvo0CGio6Ox2WxN2rVz506GDRuGp6cn69atM/PfXJfdbqe2ttZ8/8CBA3h4eDQpk5WVRWhoKDabjSVLlpjprcUeYPHixdhsNkJDQ/n000/N9MbnHh0dbW4+31ZcnnzySYKDg7Hb7YSFhfHSSy+Z74kIL7zwAkOGDCE8PJw333wTgD/+8Y/079+/yXk27Lzg4eFhpjUsFPw30dLibZ3t0aUX1/36oMiRP4ms/SeR/f9HZMO/ipQeEflqn8je5SK/TxBZ8ZDI8bUiNZV3u7VKqS7sdhbX/T7U19dLRUWFiIjU1tZKfHy87N27V+bPny+LFy8WEZHFixfLggULRESksrJSHA6HiIh888030r9/f/P12LFj5cCBA82OkZ+fL3a7XS5evCgiIufOnRMRkd27d8vo0aPF6XSK0+mUhIQE2b59u1nuwIED8sQTTzRbXLfBxo0bJSkpyXzdeOHcm50+fVomTJgggYGBZp7WFsQVERkxYoTs2bNH6uvrZdKkSeZCtsXFxXLs2DGZNWuWrF271szfVl1Op1OSkpIkJSXFLON0OsVqtUphYaHU1NRITEyM5Obmioi0Gvvc3FyJiYmR6upqKSoqEqvVai5g3PjcT548KYGBgbeMS0ZGhtmeqqoqCQ4OlqKiIhERee+992TWrFlSV1cnIjc+s/fff1/mzJnT4nm29jm15HYW19W7Rzs7y3Dwi3DdHdr9XrA/AfUOEIEf3Q+2H0OPvq6HUkp1IPn7z7J3QyHXLtbg09eLUVNCGDJy4B3XZxiGOZLlcDhwOBwYhsGGDRvMDdszMjJITEzkN7/5DT169DDLVldXt2sj9XfeeYc5c+bQp08fAHMvTcMwqK6upra2FhHB4XDg5+cHQF1dHfPnz+dPf/pTk9G8xlavXt1s/9HWzJs3j6VLl7ZrO6qysjKuXr3KqFGjAJg9ezaffPIJKSkpBAUFAdCtW/sn7f7rv/6LadOmceDAATMtJycHm82G1WoFID09nQ0bNhAREdFq7Dds2EB6ejpeXl4EBwdjs9nIyckx29ng6tWrZqzbq7q6GoCePXsCsHz5cv70pz+Z59nS3rN/Lzo92hV0vxfus0APX7inB3jfB/f2ht6DoJ9NO2xKqQ4nf/9Ztn94kmsXXTdZXbtYw/YPT5K//+x3qreurg673c6AAQNITk5m5MiRnDt3Dn/3nqb+/v5Npjr3799PZGQk0dHRrFixAk/PG2MhTz31FHa7nZdfftmcUszPzyc/P58xY8aQkJBAVlYWAKNGjSIpKQl/f3/8/f2ZOHGiuUr+smXLSE1NNdtws+vXr5OVlWVuag6uTuCECRMYPnw4b7/9tpm+ceNGAgICiI2NbVZPcXExQ4cOZezYsezatQuAM2fOYLFYzDwWi4UzZ87cMo6FhYXm9OCcOXPMutavX99k6rUh/f7772/xGK3Fvq0yAElJSURFRTF27FgWLVp0y7gAzJ8/H7vdjsViIT093eycFRYWsmbNGuLi4khJSaGgoMAss2bNmibTo1VVVYCr4xcXF0dCQgKffPLJLePVXjrSppRSqsPZu6EQZ219kzRnbT17NxR+p9E2Dw8Pjh49yuXLl0lLS+PEiRNt5h85ciS5ubnk5eWRkZFBSkoK3t7efPjhhwQEBFBRUcG0adP44IMPmD17Nk6nk4KCAnbs2EFpaSkPPvggJ06c4MKFC+Tl5VFaWgpAcnIyO3fuxGazsXbtWnO0qSWbNm1izJgx9O174w/w3bt3M2jQIMrLy0lOTiYsLIy4uDheeeUVtm7d2qwOf39/Tp8+ja+vL4cOHWLq1Knk5uY2u64OaNeIYkhICEePHm2S9stf/pLf/OY3eHh4NEm/k2Pcqsz27dvp168fhYWFjB8/nsTERHx8fFqMy0MPPQS4rhGcPn06165dY/z48ezZs4fRo0dTU1ODt7c3Bw8e5OOPP+bpp582O7WPPvooy5Yta9aW06dPM2jQIIqKihg3bhzR0dHmBvTfhY60KaWU6nAaRtjam367evfuTWJiIllZWfj5+VFWVga4pgtbmh4LDw+nZ8+eZicvICAAgF69ejFz5kxycnIA14jQlClT6N69O8HBwYSGhlJQUMD69etJSEjAx8cHHx8fUlJS2LdvH0eOHOHUqVPYbDaCgoK4fv06NputybEzMzObTY0OGjQIcE3lpaWlkZOTQ2FhIcXFxcTGxhIUFERpaSnDhg3j7NmzeHl54evrC8Dw4cMJCQkhPz8fi8VidiQBSktLzbpv18GDB0lPTycoKIh169bxi1/8gk8++QSLxcLXX3/d4jFai31bZRoLCQnBz8/PvEGgpbjczMfHh8TERD7//HPzWA2jmGlpaRw/fvyW59pwHKvVSmJiIkeOHLllmfbQTptSSqkOx6ev122lt8f58+e5fPkyAFVVVXz22WeEhYWRmprKypUrAVi5cqV5LVhxcTFOp2u9y6+++oovv/ySoKAgnE6neVemw+Fg8+bNREVFATB16lS2b98OwIULF8jPz8dqtRIYGEh2djZOpxOHw0F2djbh4eFMnjyZs2fPUlJSQklJCT169ODUqVNmm69cuUJ2dnaT69MqKyupqKgwn2/dupWoqCiio6MpLy8367JYLBw+fJiBAwdy/vx56urqACgqKqKgoACr1Yq/vz+9evVi3759iAirVq1q17VwLSkuLjaPPX36dN566y2mTp3KiBEjKCgooLi4mNraWjIzM807LluLfWpqKpmZmdTU1FBcXExBQQHx8fHNjlleXk5xcTEPPPBAq3G5mdPpZP/+/ebI2NSpU9m2bRsA2dnZDBkypM3zvHTpEjU1rj8eLly4wO7du4mIiLiTkDWj06NKKaU6nFFTQtj+4ckmU6Se93Rj1JQ7n4IqKysjIyODuro66uvrmTFjBj/5yU8YNWoUM2bM4N133yUwMJC1a9cC8Pnnn7NkyRK6d+9Ot27deOutt+jXrx+VlZVMnDgRh8NBXV0dP/7xj/nZz34GwMSJE9m6dSsRERF4eHjw6quv4uvry/Tp09m2bRvR0dEYhsGkSZN45JFHbtnm9evXM2HCBPOieXBdB5aWlga4OiAzZ85k0qRJbdazc+dOFi5ciKenJx4eHqxYscKcbl2+fDlPPvkkVVVVpKSkkJKSAriW7khLS+PSpUts2rSJF198kdzc3NuOu6enJ8uWLWPixInU1dXx9NNPExkZCcDzzz/fYuwjIyOZMWMGEREReHp68vvf/77JtGtSUhIeHh44HA6WLFmCn58fRUVFbcZl/vz5LFq0iNraWsaPH89Pf/pTsw2PP/44r7/+Oj4+PvzhD38wy6xZs8YckQN46623APiXf/kXunXrRn19Pc8///zfrNNmtDQv3NnExcXJwYMH73YzlFJKtSEvL8+8+L49/tZ3jyp1N7T0vTcM45CINFtgT0falFJKdUhDRg7UTprqUvSaNqWUUkqpDkA7bUoppZRSHYB22pRSSv1gdIXrrJVqcLvfd+20KaWU+kHw9vbm22+/1Y6b6hJEhG+//RZvb+92l9EbEZRSSv0gNCzkev78+bvdFKX+Lry9vZtsE3Yr2mlTSin1g9CwS4BSqmU6PaqUUkop1QFop00ppZRSqgPQTptSSimlVAfQJbaxMgzjPPAV0A+4cJeb80OkcWmZxqVlGpfmNCYt07i0TOPSMo3LDQ+ISP+bE7tEp62BYRgHW9rLq6vTuLRM49IyjUtzGpOWaVxapnFpmcbl1nR6VCmllFKqA9BOm1JKKaVUB9DVOm1v3+0G/EBpXFqmcWmZxqU5jUnLNC4t07i0TONyC13qmjallFJKqY6qq420KaWUUkp1SB2i02YYhrdhGDmGYRwzDCPXMIyX3Ol9DcP4H8MwCtw/+zQq8/8ZhnHKMIwvDcOY2Ch9uGEY/+t+703DMAx3updhGGvc6fsNwwhqVCbDfYwCwzAy/o6n3qY24vKP7tf1hmHE3VSmU8eljZi8ahjGScMwjhuGsd4wjN6NynTqmECbcXnZHZOjhmFsNQxjUKMyXTYujd7/d8MwxDCMfo3SumxcDMP4tWEYZ9zfl6OGYTzcqEyXjYv7vefc555rGMbSRumdOi5tfFfWNPqelBiGcbRRmU4dk++ViPzgH4AB+Lifdwf2AwnAUuB5d/rzwG/czyOAY4AXEAwUAh7u93KAUe46/y+Q4k7/BbDC/TwdWON+3hcocv/s437e527H5BZxCQdCgR1AXKP8nT4ubcRkAuDpTv+NflfMuPyoUZ65jc6rS8fF/fp+4FPcazxqXEgAfg38ewv5u3pckoDPAC/3ewO6Slza+jfUKM9vgYVdJSbf56NDjLSJyzX3y+7uhwBTgJXu9JXAVPfzKUCmiNSISDFwCog3DMMf1y+pveL6xFfdVKahrnXAeHcvfyLwPyJyUUQuAf8DTPp+zvT2tBYXEckTkS9bKNLp49JGTLaKiNOdvg+wuJ93+phAm3G52ihbT1z/rqCLx8X9+nVgQaPXoHFpTVePy/8DLBGRGne+cneeTh+XW31X3G2fAax2J3X6mHyfOkSnDcAwDA/38Go5rg9pP+AnImUA7p8D3NkDgK8bFS91pwW4n9+c3qSM+5f7FcC3jbp+EFqJS2u6RFzaEZOncf0VB10kJtB6XAzDeMUwjK+Bx4GF7uxdOi6GYaQCZ0Tk2E3Zu3Rc3G89a7im1N8zblyS0tXjMgR40D11l20Yxgh39i4Rl1v8n/sgcE5ECtyvu0RMvi8dptMmInUiYsc1QhJvGEZUG9mNlqpoI/1Oy9x1Gpfm2oqJYRgvAE7gw4aklqpoI/1Oy9x1rcVFRF4QkftxxeRZd/auHJcY4AVudGAb68pxiQKWAyGAHSjDNe0FGhdPXNNzCcB84CP3SFCXiMstfg89xo1RNugiMfm+dJhOWwMRuYzrWq1JwDn3kCrunw1D0qW4rkdpYAG+cadbWkhvUsYwDE/gPuBiG3X9oNwUl9Z0qbjcHBP3Rao/AR53D79DF4sJtPld+RMwzf28K8dlCq5rbY4ZhlGCq72HDcMYSNeOyyQROef+BV0PvAPEu7N16bjgavPH7qnCHKAe1z6aXSouLfyf6wn8FFjTKFuXisnfnPwALqy71QPoD/R2P78X2IXrl++rNL0RYan7eSRNL3Qs4saFjgdw/TXUcKHjw+70OTS90PEjuXGhYzGuv6L6uJ/3vdsxaSsujd7fQdMbETp9XNr4rkwCvgD635S/08fkFnEZ3CjPc8A6jcuNf0Pu9BJu3IjQpeMC+DfKMw/XtUkaF3gG+E93+hBcU3ZGV4hLW/+GcP2/m31T/k4fk+813ne7Ae38UsQAR4DjwAlu3IXiC/wVKHD/7NuozAu47kr5EvcdKO70OHcdhcAybiww7A2sxXVRZA5gbVTmaXf6KeCpux2PdsQlDddfIDXAOeDTrhKXNmJyCtd/pEfdjxVdJSa3iMuf3a+PA5uAAI1LszwluDttXT0uwAfA/7rTN9K0E9eV43IP8N/utMPAuK4Sl7b+DQF/BJ5poUynjsn3+dAdEZRSSimlOoAOd02bUkoppVRXpJ02pZRSSqkOQDttSimllFIdgHbalFJKKaU6AO20KaWUUkp1ANppU0oppZTqALTTppTq9AzD8DUM46j7cdYwjDONXl935wkyDEMMw3i5Ubl+hmE4DMNY5n7965vKHjUMo3crx0x01/dPjdKGutP+3f06wb1f5VHDMPIMw/j19xkHpVTH5nm3G6CUUt83EfkW136ZuDtG10TkNffra42yFuFa4f5X7tf/COTeVN3rDWXb4X+BR4F33a/Tca0G32AlMENEjhmG4QGEtrNepVQXpCNtSil1QxWQZxhGnPv1o8BH36G+04C3YRh+7g3EJ+HanqfBAFwbryOuPT2/+A7HUkp1ctppU0qppjKBdMMwLEAdzTegntdoanR7O+pbh2vEbjSuLY5qGr33OvClYRjrDcP4F8MwvP8G7VdKdVLaaVNKqaaygGTgMWBNC++/LiJ29yOpHfV9hKvT9hiwuvEbIvKfuPZb3ArMdB9bKaVapJ02pZRqRERqgUPA/wv8+W9Q31nAgasj+NcW3i8UkeXAeCDWMAzf73pMpVTnpDciKKVUc78FskXkW9elaN/ZQmCAiNQ1rs8wjMnAX0REgMG4pmMv/y0OqJTqfLTTppRSNxGRXJrfNdpgnmEYTzR6PVVESm5R355W3poFvO5edsQJPC4idbfbXqVU12C4/sBTSimllFI/ZHpNm1JKKaVUB6DTo0op9R0YhjER+M1NycUiknY32qOU6rx0elQppZRSqgPQ6VGllFJKqQ5AO21KKaWUUh2AdtqUUkoppToA7bQppZRSSnUA2mlTSimllOoA/n/aTkIAsBhIMQAAAABJRU5ErkJggg==\n",
-      "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,8))\n",
-    "sns.scatterplot(x=\"TIME_MS\", y=\"SUM_PROXIMITY_KMS\", hue='EPC', data=test[test.MEASUREMENT == 4])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "6ec2a914",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,8))\n",
-    "sns.scatterplot(x=\"TIME_MS\", y=\"SUM_PROXIMITY_KMS\", hue='EPC', data=test[test.MEASUREMENT == 26])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "71d83771",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,8))\n",
-    "sns.scatterplot(x=\"TIME_MS\", y=\"SUM_PROXIMITY_KMS\", hue='EAN', data=test[test.MEASUREMENT == 28])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "0f660799",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "\n",
-    "from sklearn.cluster import DBSCAN\n",
-    "from sklearn import metrics\n",
-    "from sklearn.datasets import make_blobs\n",
-    "from sklearn.preprocessing import StandardScaler\n",
-    "from sklearn.preprocessing import normalize"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "aa6bd73b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "11         1\n",
-       "16         1\n",
-       "36         1\n",
-       "38         1\n",
-       "111        1\n",
-       "          ..\n",
-       "322716    28\n",
-       "322717    28\n",
-       "322719    28\n",
-       "322727    28\n",
-       "322746    28\n",
-       "Name: MEASUREMENT, Length: 33389, dtype: int64"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#zbiĂłr testowy dla kilku stylokolorĂłw\n",
-    "test0 = df[(df.TIMESTAMP <= '2021-10-26T10:30:00.000') & ((df.StyleColor == 'RH797-81X') | (df.StyleColor == 'SL171-99X') \n",
-    "                                                         | (df.StyleColor == 'RH797-59X'))]\n",
-    "caly1 = test0[['SUM_PROXIMITY_KMS','TIME_MS', 'EPC', 'MEASUREMENT','StyleColor']]\n",
-    "\n",
-    "\n",
-    "caly1.MEASUREMENT"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "id": "f5208208",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "def caly(x,eps, sc):\n",
-    "    DF = x[(x.StyleColor == sc)]\n",
-    "    measurements = DF.MEASUREMENT.unique()\n",
-    "    eans = DF.EPC.unique()\n",
-    "    #eps = 5000\n",
-    "    outliery = pd.DataFrame(columns = ['MEASUREMENT', 'EPC'])\n",
-    "    \n",
-    "    for i in measurements:\n",
-    "        proba = DF[ DF.MEASUREMENT == i ]\n",
-    "        X = np.asarray(proba[['SUM_PROXIMITY_KMS','TIME_MS']]).reshape(-1, 2)\n",
-    "        minimal_epc = np.floor(proba['EPC'].value_counts().min()/2)\n",
-    "\n",
-    "\n",
-    "        db = DBSCAN(eps=eps, min_samples=minimal_epc, algorithm='auto')\n",
-    "        db.fit(X)\n",
-    "        y_pred = db.fit_predict(X)\n",
-    "        clusters = pd.DataFrame(db.labels_,columns = ['CLUSTER'],index=proba.index)\n",
-    "        calosc = pd.concat([proba, clusters.reindex(proba.index)], axis=1)\n",
-    "\n",
-    "\n",
-    "     \n",
-    "        \n",
-    "\n",
-    "        if (db.labels_[db.labels_ == -1].size != 0 ) & (db.labels_[db.labels_ == -1].size > minimal_epc ):\n",
-    "            a = calosc[calosc.CLUSTER == -1 ]['EPC'].value_counts().sum()\n",
-    "            b = calosc[calosc.CLUSTER == -1 ]['EPC'].value_counts()[0]  \n",
-    "            if a - 2*b < 0:\n",
-    "                outliery = outliery.append({'MEASUREMENT': i, 'EPC': calosc[calosc.CLUSTER == -1 ]['EPC'].value_counts().index[0]}, ignore_index = True)\n",
-    "                \n",
-    "            \n",
-    "    return(outliery)\n",
-    "\n",
-    "    "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 45,
-   "id": "d4f97788",
-   "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>MEASUREMENT</th>\n",
-       "      <th>EPC</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>9</td>\n",
-       "      <td>3035684754501F8000B5B6E6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>23</td>\n",
-       "      <td>3035684754501F0000B5B614</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>25</td>\n",
-       "      <td>3035684754501F0000B5B614</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>24</td>\n",
-       "      <td>3035684754501F0000B5B614</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>26</td>\n",
-       "      <td>3035684754501F0000B5B614</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>30</td>\n",
-       "      <td>3035684754501F0000B5B614</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  MEASUREMENT                       EPC\n",
-       "0           9  3035684754501F8000B5B6E6\n",
-       "1          23  3035684754501F0000B5B614\n",
-       "2          25  3035684754501F0000B5B614\n",
-       "3          24  3035684754501F0000B5B614\n",
-       "4          26  3035684754501F0000B5B614\n",
-       "5          30  3035684754501F0000B5B614"
-      ]
-     },
-     "execution_count": 45,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "caly(caly1,5000, 'RH797-81X')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9ef2c682",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
-   "id": "aee7e227",
-   "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>MEASUREMENT</th>\n",
-       "      <th>EPC</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "Empty DataFrame\n",
-       "Columns: [MEASUREMENT, EPC]\n",
-       "Index: []"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#pusty zbiĂłr na outliery \n",
-    "outliery = pd.DataFrame(columns = ['MEASUREMENT', 'EPC'])\n",
-    "outliery"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 207,
-   "id": "53539a5c",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "min_epc: 66\n",
-      "Liczba obserwacji: 910\n",
-      "Liczba outlierĂłw: 60\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 1.0, 'DBSCAN')"
-      ]
-     },
-     "execution_count": 207,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "#pojedynczy test dla jednego przejścia\n",
-    "#trzeba znalezc odpowiedni eps i minimal_epc dla każdego przejścia\n",
-    "#5000 wydaje sie byc spoko, znaleźć lepszy wzor na minimal_epc niż 1/2*najmniej liczny epc\n",
-    "proba = test2\n",
-    "X = np.asarray(proba[['SUM_PROXIMITY_KMS','TIME_MS']]).reshape(-1, 2)\n",
-    "eps = 5000/2\n",
-    "minimal_epc = np.floor(proba['EPC'].value_counts().min()/2)\n",
-    "\n",
-    "\n",
-    "db = DBSCAN(eps=eps, min_samples=minimal_epc, algorithm='auto')\n",
-    "db.fit(X)\n",
-    "y_pred = db.fit_predict(X)\n",
-    "print(\"min_epc: %d\" % minimal_epc)\n",
-    "print(\"Liczba obserwacji: %d\" % db.labels_.size)\n",
-    "print(\"Liczba outlierĂłw: %d\" % db.labels_[db.labels_ == -1].size)\n",
-    "plt.scatter(X[:,1], X[:,0],c=y_pred, cmap='Paired')\n",
-    "plt.title(\"DBSCAN\")\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 195,
-   "id": "886e075b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "3035684754501F0000B5B614    71\n",
-       "3035684754501F8000B5B6E6     7\n",
-       "3035684754501F0000B5B632     2\n",
-       "3035684754501F4000B5B6E5     2\n",
-       "Name: EPC, dtype: int64"
-      ]
-     },
-     "execution_count": 195,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#ilość eanów w zbiorze outlierów\n",
-    "clusters = pd.DataFrame(db.labels_,columns = ['CLUSTER'],index=proba.index)\n",
-    "calosc = pd.concat([proba, clusters.reindex(proba.index)], axis=1)\n",
-    "calosc[calosc.CLUSTER == -1 ]['EPC'].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 83,
-   "id": "4c1b5516",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "18"
-      ]
-     },
-     "execution_count": 83,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#wszystkie pozostałe outliery - największy\n",
-    "# jeśli są poniżej np -5 to uznaje go za outlier\n",
-    "(calosc[calosc.CLUSTER == -1 ]['EPC'].value_counts().sum() - 2*calosc[calosc.CLUSTER == -1 ]['EPC'].value_counts()[0]) "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "id": "b361ea71",
-   "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>MEASUREMENT</th>\n",
-       "      <th>EPC</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>testowy</td>\n",
-       "      <td>3035684754501F8000B5B6E6</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  MEASUREMENT                       EPC\n",
-       "0     testowy  3035684754501F8000B5B6E6"
-      ]
-     },
-     "execution_count": 84,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "if (db.labels_[db.labels_ == -1].size != 0 ):\n",
-    "    if  ((calosc[calosc.CLUSTER == -1 ]['EPC'].value_counts().sum() - 2*calosc[calosc.CLUSTER == -1 ]['EPC'].value_counts()[0]) < 0):\n",
-    "        outliery = outliery.append({'MEASUREMENT': 'testowy', 'EPC': calosc[calosc.CLUSTER == -1 ]['EPC'].value_counts().index[0]}, ignore_index = True)\n",
-    "\n",
-    "outliery"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 129,
-   "id": "a734dc84",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x576 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,8))\n",
-    "sns.scatterplot(x=\"TIME_MS\", y=\"SUM_PROXIMITY_KMS\", hue='EPC', data=test21)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a7752878",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 37,
-   "id": "4ae2e10a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "from sklearn.datasets import make_blobs\n",
-    "from sklearn.preprocessing import StandardScaler\n",
-    "import matplotlib.pyplot as plt\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 39,
-   "id": "a1d298ae",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#Determine centroids\n",
-    "centers = [[0.5, 2], [-1, -1], [1.5, -1]]\n",
-    "#Create dataset\n",
-    "X, y = make_blobs(n_samples=400, centers=centers, \n",
-    "                  cluster_std=0.5, random_state=0)\n",
-    "#Normalize the values\n",
-    "X = StandardScaler().fit_transform(X)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 40,
-   "id": "5d9ae636",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x1a0d8a12a00>"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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KK+3ZgmtjQylFMyAgZpuuUIKBWCqnJq0/mqQ7nKC2ePJF5YF4ikcP95A2LZErpWRJhZ8LFpUVVAzUFrttt+uaYHVNEZX+2a93CyfS7GgbpCMYR9cESyv8bGwoHTaQLQQ94QRPHu0bjsbGUiY72wOkDJN1dYW3CVEsfBb+J5VCoZiXdIUSaELkdKelTcmeztDwz5E8Rp2aECyrsgrEV9cU01Tq5XRmIHFTqfesEFoAvdHk8DzEkaRNSW8kOWmxJaXkyaO9xEe5np8YiFJb7C5oR6ND07ispYKnj/eDsK4tgGWVfmqL7IXYTJJImzx4sJukYSIB05Ac7g0zGEtx7Yrqgl1nV0cgx23eMCX7ukKsrpn/6V/F7HN2fFopFIp5x2RvOC5dDIsOn1PnkpaKLDPJIreD1TWFsXqYKoF4imTapNznKlikxOvU0TWRM57HoYkp1TkF4mliNuNlDFNypDfM4nLfsMv74Z4wKVOyqMzLmppinPrke6YaSr28bn0dpwZjpE1JfYlnSuN1CsGxvvBwNG8IU0JvJMlANFkwG4eATdcqWAHaRNrANwt1foqFhfqNUCgUM0JdsWfMmh47bltfjyHB69DmVe1LJJnmiaO9hBMGmrDKy7Y0lrKsavIDkkfTXObl5bZBRsf3hJhaTZphSvK9ckNidtupQY4PRIcF3v6uEK0DMW5cXYNDm7zgcjt0lhfgtZgufdFUTsQJrNcyEE8XTGyVuB30pJO213E7VCOAIhdl/aBQKGYEXRNcvayKiQaABAK3Q8fn1OeV0JJS8viRXoLxNIaUpExJ2pRsPx2gNzJ9V3SnrvGq5dUUZwYw68KaEfiqFdVTijRZBem523UBi8t8RJJpjvVHsiJpprTmLs5m9+dMUO61f+4SCtogsKHe3uF/VXWRSiEqbFGRLYVCMWO4dM2u9t2WpGESTxl4nDppw0QIMS9uXAOxFNGUkeNuYEjJoZ4wVf7p1yaV+1zcsqZ2uH7N78oWnIOxFAe6QwTjaaqLXKyuKc6bYtSE4OLFFTxzvH+4C9ShCYrcDpy6xt7OkK1dgyElHaHYcJ3cQmRZpZ/9XaGsOkFNQJnHSYWvcKnN2mIPly2pYEfbIOGEgUvXWFNbxJo5TnMr5i9KbCkUM8yQhYEpJTVF7ilFKxYq7cH4hI/VNcHJgSgnB6L0R63Zh3XFbi5aPHWPpnAizcttATpDcRyaYHmVn3V1JZOyIkikzbxpuZjNsOipIoSwLfrvCMZ56ljfsHDqjyY52B1GEwJdg6WVfjbUZ3fbNZZ6uXlNLUf7IsRSBl6nzsHuEDvaBjFNSW5Fl2Wl4XdO7pbQH00SiKUoyYiZuY5Iepw616+s4aVTA/REkmgCmst8nF/gLkywXuPGUq/VFDCPIrGK+YkSWwrFDNIdTvDksd7h6I6UcMGiMpZULqzoQdIwiSTS+FwO3I6Ji0VNCDQBEx0vuKsjwMja7s5QgocPdXPL2rpJezUl0gYPHOwmlelMS5uS/V0hBmMprlhaNeHzVPpctvP+dAENJdPz+UoaJvs6Q7QORq3uy0o/q2qKhp+rlJIXWweyDV8z/29IiWHAoZ4wA9Hcbrsit4NNDaWkTcldu9ut92CMMKMmLDE6EdKGyeNHe+mPpYYt0so8Tq5ZXjXnXyZKvU6uW1mDmemMnGkhpISWYiKcO1+xFYpZJm2YPHG0l5Rh1fikTYkhJS+dGiAUT8318iaElJIdpwf5/e52Hjncw+/3tPNia7+t+LBjsgXeox0QJJaTfOckImRDHOmNYJhmVrbMkFakaDKvv8uhsb6uJCulqQuri3Ci4sQOw5Q8dLCbgz0hIkkjMwMyyNPH+oaPSaRN4umxo2dD3Xb90dyCbYDOYDxvZE5gpRjdusblSyoonmAX4cvtAfqiSYyh32tTMhBLsv304IQePxtoQighpJg3FERsCSHuFEJ0CyH25Nl/tRAiIITYmfn3/xXiugrFfKYtj0AwJRzrj87yaqbGge4wR/oiGBJSpjX/7kR/jN2jDEbz4XXqXLS4Al1YN3WHZhWAt5R70YXAmdnmdWo0lnhs5+uZUhLO48U18pjOUJzTgRjJTGisN5KwjagJIWwHTo/F2roSrlhSSX2Jhwqfk3V1Jdy4unZaUZxTgzGiKSPrORtS0hlKMJARThO1lxDCquuyYyj9aEdDiYfrV9Zw24Z6GkonLoxP9Edz3itTwsmBKHKiRXoKxTlEodKIPwK+DfxkjGOeklK+pkDXUyjmPSnDtM3ayMy+hcCB7lCO/5MhJYd6I2xsKJ1Q5GBxuY/6Yg9twRhIaCj14HbobDVMesIJnLpGld/FiYEobcF4jsGnJgRl3vwRl/5okseP9GJk0kamlJzXVEapx0lnKGEbLStyT74GrL7EQ33J5N3c89EdTtiamYKkL+MJ5dA1Gku9tAViYw56hvzddnXFHlsB5NAs09ixXtt85ItsjrdGheJcpSCRLSnlk0B/Ic6lUJwt1BV7sIspODRB4ySiCHOFKSUJG3NMIMc4cjxcDo0lFX6WVPqHfYicukZDqZfqIjdCCJrLfLgdWlbKSxNWDU51nrEvhil57EgvCcMkbVq2DIaEl08HqCly59R5acKyByj3njlfbyTB40d7uWdvB88c7yOQJ0JUaIrcuq1NgRAiy8z1ouZyqovc6ELgsDl+aKxRVZ7XyOXQ2NJUhi7E8Gura4L6Eg8NUxSPdXlc7Wsz76VCochmNgvkLxFCvAK0A5+UUu61O0gIcTtwO0Bzc/MsLk+hKCxDjucHe8LD0SFdE9QWuanLM1NuvjAYS/HYkZ68gsrn1Hn6eB9pQ7K4wkdLuW/aNg26JrhhZQ2vtAc4FYihIVhS4WNDfUneG3hXKG4bZTGlpC0Y59oV1bzYOkAglho2Cd26qBxTSpJpk95okmeP9w8XoIeTMdqDcV61opqKaRpgpk2T9kCcpGFSV+zJ6TRcUuFnb2e2TYHAssuoGyGCnLrGtcurCSXSRJNpBLCzPUB/1HpOjaVeLlxUPqbIWV5VRE2Rm2N9UdKmSVOpl9riqQuj85vK6DvYPVyHqAvQNMHWRWVTOp9CcbYjCpVfF0K0AH+UUq632VcCmFLKsBDiZuAbUsoV451z69atctu2bQVZn0IxV3SF4hzts0wkWyp8NJZ6J91ZN5uYUnL3no6c2XpDWB1eZ1JGuiao8Dq5dkX1jD+vZNqkJ5JA1wQ1RW5OD8Z4oXXANh3XXOblsiWVgCV8tExkZ19XiH1dVno036dfbZF70rP0TvRH2N0RJJoy8Ll0Ypk6s6GP2JU1RWzOpF5NKTneb43LCcRTw8eU+5xc1lI5obmPhikRgnFfcymt+YCHeiKkDJPGUi8b6kumbKcxRDJtcrQvwkAsSZnXybIRUcvZImWYHOuL0BGM43M5WFldNKW0qEJRKIQQ26WUW0dvn5XIlpQyOOK/7xNC/JcQokpK2Tsb11co5pLaYs+khwnPJT15a4msMTrxtJld1G1KBmIp2gLxKY2XmShHesPsOD04HI3RheCSlgrbyJZDE1lrGRpBs78rxN7OkO1Il5H05ensG3ttZ4YThxO5Bf0HusNU+V00lXp5/EhvTgG/hjVwe6IDticaSXyhdYDWgdjw2o71RWgLxLhlTR2uSdh4jMbl0FhTO3cmnsm0yf0Hu4inDAwJggQn+qNcsricRQUctq1QFIJZEVtCiDqgS0ophRAXYn2u9I3zMIVCMQekxpit53Fow+NqRpI2JW2B2IyJrYFoMiNmGA4VpZE8e6KPdbUlVqQqs92hCSp8Lpps1jLyuLGYjJeYlJJdHcEJnXfbqUEMU9IbTeZ0SprA8yf68Ti0ccV5MJ7i5bYA3ZkGg1XVRayuKcpJC0aSaU4OZHcOWg0akiN9YdbWltiePxRPsaczSCRpUFfsZtUEh1QH45bo1jIp25kcyLy/O0RsRDenxGreePHUII1l8zt6rDj3KMhfghDiF8DVQJUQ4jTwOcAJIKX8HvAm4ENCiDQQA94iVX+wQjEvqfa7bYWDLgQ1xR5CfZGcfQJ7gSKlJJK0Rt0UuaY+8/BoXyRPbRZU+CwzzSO9EVKmSXOZj+by3JutlJLkBLpAdSEmNXYlbcphu4nxiKdNnjs5kHe/CezpDI0ptiLJNA8e7CaVURlp02B3R4BQIsWFzRVZx/ZHU2iZtOVIDGlNNVhbm3v+A91BXm4bTkbQE0myryvEjatrKRnDh2tXe4AD3SFLCwt4pT3A1kXlLJ0hA9/Tg/YdmqaUBONplU5UzCsKIraklG8dZ/+3sawhFArFPMft0NjUUGpFa0YU9pd5nKyvK+F4f5TRg/WG3M9HMhhL8fTxPqKZ2iWPU+PyJZVTKjxPGmbe+qqUKWkodVNdNHbTgRACv0sfnj84GocmkBJW1RRNyqzUoQkcuiA1UZv8cYgkx/YAO9AdyoksGhKO90fZWF+KZ0Qtlt+l275uAnuriFjKyBJaI8//9PE+bl5TZ7um/miSA93hM9G6zP9vOzVAQ4kna02FIl+kTUqJU1dRLcX8QjnIKxRnMVJKYiljwpGXIVbXFHPt8ipayn00lHjY2lTGq1ZU43JoXLu8Co9Dw6GdMSW9qLksK+qRNkweOdxNKJG2xspkIlyPHu6ZUHRpNE2lXluDz6F5kxPlvMZS9FERL10ILmup4PqVNbxhQz2bJugfNoQQgrW1JQUbml0xTkSmN5K0FVC6EARHmbWWe52UuB05aWFNE6yszo3etQViea8biKfz+sO1DkRto6FCiLzmvtNlVU1RzmsusKxC/DOYvlQopoL6jVQozlJ6IwmeO9k/HFmq8ru4tKVywl1oVX43Vf5cIVPuc3Hb+nr6oknSpqTK784RQqfymHCaWDfm5VVFk3ouTWVeDvdG6M9cE6xo27ra4kl11S0q8+FYqrGrI0AokabE7WRTQ4lt2k5KyWAsRdIwqfC5xqxZWlNTlOl0DJIyJC6HRipt2g58Ho9iz9gfy6UeJwPRVI7gMqXEP8qsVQjBNcureO5EP13hRCbdq3Px4vK8JqhjkU9O5ovpzWStSHOZl/5okkM9YXQhkFiWJFcsmfjcS4VitlBiS6E4C4kmDR470puVbuoJJ3nkcA+3rKmdtvGkEMJWiA0RSxk5zvNgdS5Gxxm9Y4eWEQ2tAzFaB6M4NY3lVf5xU4d2TMQJPpxI88TRXqIpI+NKD5sbS1lZbS8ShRCsqS1mdU0RhrRmJ0aSBrs6AnSFLJGTMMwJOayfHIixqaEs7/41NcW0DsayXl9dWF2vdhEdt0Pn6uXVJNOW8Ws8nebUYJyTA1H8Lge1xW4qfS6EsMx2Xzo1aHvdCp8TRx7Bubjcx+GeSE50S0pJYwFd90cihOC8xjJW1xTTF03idehU+JzKVFUxL1FiS6E4CznaF84pipZYIqg7nJhxK4oqvxtdEzm1RQ5NTEkggSW4Wip8tFTMbFu/lJLHj/YSTqSzIjM72wKUe51jrl+McHkvcju4tMXy+TJMyX37O3NmIdoxXpq11OvkqqWVvHRqkHAijRCW2Gmp8LGvM4jLodFc5suxdXA5NA51BDIdmSPW3AElHgfXLq/G69TZ0ljKjrbs2ZeagC2NZXnXVOFzsaqmiIPd1u+dEFYU7PxFZTNSrzUSr1OnaQFMZFCc2yixpVCchYQS6bw39XwF4uMRzNgB9EaS+J06a+tK8kaIqv0uKn0ueiPJ4WiHLqDM68xxz08ZJq2DMULxFOU+y4fKrv4pkTY4ORAjljKoybjwz0QUYyCWIpYyclJghpTsbA9w3YrqSV9X1wQ3rKphd0eQU4MxBJCW0raovrZofCFcW+zhNWvrSBkmQsBzJwZ44lgfpinRNMHLbQGuXlaVJQyD8VSO0AJLhAfiaZ5vHeDqZVWsqimmsdTD8ycH6IkkLRNb4NEjPZzXWGpb6wWwqaGUlnIfpwMxNCFoLveq2imFIoP6S1AozkKq/W5OB+I5qTwpoXIK3YDBeIoHDnYPu65HkgZ9x/rYuqjMtrVfCMFVy6o41BPmeH8ECSyp8LGqujhLqIQSaR462I0hLe8uhybY5Qhww6qaLDfynrA1v1BKa/bhoZ4wFT4XVy+rshVm4USabacG6AwlhiM/W5rKcNmkwUwpaQvEOTUYxaVrlHmdeWuTeiNJXmgd4KLmscfj2OF26GxdVM7WReUAdIbiPHm0D1Nar6kG6Lpgc2PphM/p1DWO90foCJ15r4f+/6njfdy2vn7YAqMtELcdjD5EVyhOyjBx6hpCCPozxq6Wf5V1zM62AA0l3rzGq6VeJ6XKckGhyEGJLYXiLGRJhc8yfUwaw0XauhDUl7indDPc1RG0sRuQvNwWoKXCZ2sgqWtWHdNYLuMvnOwnMSJtls7UdL3SHuTCZkuUSCmtOYwjrp82JX2RJEf7wjmRlpRh8uDB7mG7CCnh5ECUwViKV6+qyRJJppQ8fqR3uNgfrAjcWKm+1sEYy6v8Y9asTYS6Yg83rKrhQHeIYDxFtd8yD/W5Jpd2O9YXzVsfNxBNUZkZUC2GQlRjPLeh1PPpwZjtYVJaz3/tHDrHzwVSSgxTomtC1YQppoQSWwrFWYhD13h1Jm11ejCGrgmWV/lZNQmzzpH0hBO22w3TspaYSroobUp6I7ljcUygdTA6LLYGYynb8UFGZr7gaLF1vD9CWmbPPTSldZ579nXic+qsqimmqdTDqcGY5eY+4vzW6Jf8GKakPRCfttgCK6168eKK8Q8cg/wTHrP3LSrzsqs9kPfYIpdjOJo4VnfhueRHLaVkf7c1SzNtyGEPupkyalWcvSixpVCcpYxOW00Hr1O3HUwtkbapuYkwlqARI/aKTFv/RM8xEEvbRnqG0p+RpEH/yX5WVRcRjKdsj3VkBl23B+M519ZEfkPNQpE2TE4OWEKwxO1gaaUv75DnpRV++qO5z0MXIstA1u9ycP6iMradGsyJ3Dk0wUWLz/yeNJbaC7OhMTznCvu7QuwZMUsznjbZdmoQp66dU6+DYvoosaVQKMZlXV0xz50cyLqha5laqKkKD10T1Ba76QolsgSNJqCl/MyNrNTjwK1rRE0j5/HLbPy6yr0OdEFOIfhIDFNyoDuUt4tNAi0VPjpDiRw7AwE0l8/cjTaWMnjwYDcJw7RSVwL2dgW5fkWNbQq4pcLH6cEYneFE5niBEHD50sqc9O6yyiIaSry0DkTpiSQwTMv4dHmVP2uOYbHbwfr6EvZ0BIdfR13A2tqSMUf2nE1IKdnXnTtL05CSXe0BJbYUk0I5yCsUinFZVOZjY32JNZpGE8MRjgumGTW7qLkCr1O3zokVYSn1ONnYcKZIXAjBFUsrcerWtQWW0KovdrPExgbC49DGFFpD6EJQ7nPmOMqDZTPRVObl8iUVw8/ZoQl0IbhoccWU0qaGKemNJBiIJcdMxb3SHsjyKTOkNTj6hdZ+2+M1IbikpZzllX6K3Q4qfE6uXlaV11nfm0mjXr6kiquWVbGxodR2YHSxy5EVATMllPvyCy1TSjqCcQ71hOkMxRd8ujFtStJ5fpEiqal19CrOXVRkS6FQ5KUvkuTkQBSwIihv2NBAJJnG49BzfJymgs+lc+u6OtoDccLJNGUeJ7U2lg4VPhe3ravnVCBGPGVSU+QeLvweSTiR5vmTgxO6tsQqUkfC7s7gcBRIE3D1sio0IWgo9fL6DfV0hhJICXXF7ilF8k4NRHmhdWA4gudxaFy1rMo2SnQ6YF+c3h9NDXcLjsRqCOghkhFooQQ8criHYreD5nIvK6qKJu11FUmmefpEtriTwJPH+nj9+jo8zuxbRzxl8PDhHmIpA1NKNCEodjt41YrqCb9ebYEYB7vDJNImjaUeVtcUF+R3bKo4NIHLoZGwSZ+XjOPyr1CMRv3GKBQKW15uG8xyBT/SG2F1TVFW1KkQDEWRxsOhayypGLsw+VhfZMIRFZ9Tp9zrpMLnYkmln65QAqdu1Wod7Yvw7AmrA7Kx1MuG+pJJjQUaSTCeslKwI9YVTho8criH142wZhjC+tnmOQhsuz4P9YSJJNNZ0TwJBBNp9naGONwT4dWrayYVjXulLX8h/e6OEBc0Z0c0t2UMVoeWYEpJIJ7i5bbAcKPDWOzpDFoeYJlQWjCR4nh/lJvW1E65JnC6CCHY1FDC9lOBrPdOF4LNBf4bUJz9qDSiQqHIYTCWyhm/Ykg5bFMwX4mljAnPI6wcMdrF69RpqfBlxtUM8EpbgHDSIJ42OdYX4YGDXWM6u6cMk9OBGO2BWE6h+tG+SI6bP1hpqs5Qbpfn0gofo63DBFBf7LH1FDs1GMubNpVYjvS72oN5125HKJnOuy+cyN4npeR0MDcaZ2YsN8YjmTbZ1xnMet1MaZnYHu4JT2rdhWZZZdHwHEldCMq9Tq5cVmlFRBWKSaAiWwqFIoe2QMxWIEgsc8zZLpJOGSaaELZiYyT1JR5aB2O2VhGjOTkYY3PKyEqx9UYSnByIZR0ngWRacqwvwmob64zWgSjPtw5kdUZesaSSuoy7vp0bPVgi5WB3iJ1tg/hcDtbUFFFb7GF9fSl9kSR9sRRIyx/L69S5KE+EyKmP/ZpIoCMUH/OY0dQVe+iP2ovq+tJsoSGH/8fm2hMIMvZHk2hC2BSiQ0cwzrq6kgmseOZoLvfRXD6zI6IUZz9KbCkUihy0TEfb6JvlUHH6bNEXSfJCaz/BuDUDsLHEy4XN5XlreZrKvOzvChGIp8YtkteFIJhIZ4mt507YF6EbUtIdTuSIrUgyzfMn+3Ou9eTxPm5bV4/LodFQ4qUtELcxhWW4EzMQT9MdTnB+UxnLKv1cu6KavmiSwViKIreD2qL8o4lWVhfRFx2wtbAYwjnJ92xtbREHu3NH+zg1kTOMWxNW6rU7nN1VKoDG0vEjQG6nljcaOVmDV4VivqLSiAqFIofmcm9eH6yJ1FcVgkgyzaNHegjErVogU1rF448d7clbl6UJwbUrqvOOkxmJKSX+ETfzYDxFdIwus2Kbc57oj+b1ADsdsCJki8q8mTRU7jEjH2uYkm2tA8RSBkIIqvxullcVUVfsGdO1vKnUy4oqP5qw9x3TRa5AGg+nrvOadXVU+V3DsxFri1zcui63xgywBLCuDQtxhybwODW2NJWNe60yj5NilyNn7boQrMozh1GhWGioyJZCochhpAGmNmQqKiUXNpfjm0Sh+FAq0u4GPRhLcbg3TDRpUF/iZmmFH8eIYugjvRHM0bMdsbryeiPJrCHLIwnEU4THGbYtgHKvi90dQVKGSXO5D49DQxfCNn0KsMLG0ytlmrajfaSUpDI1XromuG5lDUd7w5wciOHQBYFYytYk1gTu29/FjZMoaBdCcF5jGatriukMxtnfHSKUSKNnUnOLy72TFlsAPqeD61fWTOjYIreDW9fVcXIgSiCeotzrornci0Mb//u8EIKrl1fx5LFeAjErggmwtanMtuNUoViIKLGlUChsWVZZRGOJl/agVe/TWOrJ62KeSFvO7EUuBy6HxmAsxUunBuiNJIc9ubYuKh/uLGsdiPL8iA69rnCCQz0RXr2qZtgqIBBP5U0vHegO5RVbXaFEjkgbjcehMRBL0ZsZttwZSlDudeZNxS0p99lGyxpKvBzuieSkCAVW/dgQDk2wqqZ4eFzSQ4e6iadzRxWBVdD+cluAy5dUjvkcRuN16iyp9LOk0k8gliKSTFPmddp6aAFEUwavtAVoD1rjnJZVFrG2tnjKaWKnrrHcRpBOdO2vXlVLOJEmYZiUeZyzmq5WKGYaJbYUCkVePE59zDlwppS81DrAiYHocFSopcLHyf4oaTl0jNUxF0qkuX5FNcf7o7x4ajDrPIYpiSTTHOwOs77eKoiu8LloC9gXdnfnmdUI4HZoaJoYs4YpNiqqlDYlA7EUzeW+THef9VghLGF2XpN9q3+130VDiYf24JmaLF0TLK/0j9lEsKa2mGeO9+UdeD0kcKdKqdc55sDxpGHywIEuEmlrWDeGZH9XkIFokiuXVU3r2tOhyO1ganJNoZjfqJothUIxZV5pD3ByIIYpIWVKDAnH+s4IrSFMCcF4mudODrD99KDtuYZE2RBLxugAGytutajMN+bcRbD/4EubElNKrlhaSV2xmzKPkzU1xdy0ujZvRE8IwaUtFVzaUkFzmZfF5V6uXFrJeY1j+zA1lXrZMEaX3TgNhrZIKTFMOSGfseN9EVJG9ghrQ1oRvkBs/lp7KBQLFRXZUigUU0JKyZHeSE7Lfr5bvZSSU4P27uhDjLQx8LsdlLodBBK5nk+GKfnVzjYaSj1sacweN+N2aFy1tIonjvXaWkB4HJolrGxSfy6HRn2JJysFOB5CCBpLvTTmmbOYj7V1JfRFk7QF4jmzIcczbx3NqYEoL7cFiKQMnJpgdW0x62qL8xbW90SSOe8bWJG8gVhqzKiYQqGYPCqypVAopoSECflZDR8vx7aN0G1sBS5ZUoFTEzmRHlNadgynBmM8cLB7uBh9iJpiN2/c2MDKTJeeLiwRU+pxcN2KmhzTULCK+JeNkTKdCS5qrqDU68yavVjld03Kpb8zGOe5kwPD8/pSpmRfZ4jdHfmNTEs8DtvXQEqJxykW/FxDhWK+oSJbCoViSmhCUOJ2ELSJPA3dx+XwsVDudTIYy+9MvqLKz6JRthLlXhevWVvHsf4I3eGEVfw+Sgck0yZHe8OsqsmO5GhCcP6icjY2lNIfTeJ26JRlIjZXL6/miSO9w9EdU0o2N5ZS4Zt691s8ZXCwJ0xXKI7f5WB1TfG43XQuh8aNq2rojSQJJayC9vHWYJiScDKNx6Hhdujs6gjaGIJKDvSEWVdXYitwl1cVcbA7nNN5aUh4/EgfHqfGeQ2lLJ5khE2hUNgj5vM3mK1bt8pt27bN9TIUCkUeukJxnjjad6agHNA0waWLKzjeH6EjmEDXYGmFnw0NpTx6uIeBaDKry1ATcNWyqnFHoBzti7D91KBt+gus9OCG+pIJd8SZUtIVSmCYkpoi97SGHsdSBn860EXKOGMFoQvBRYvLWVxA9/EjvWF2tgUyvmOS+hIPveEkCZtRQroQvGZtXV5j0P5okudP9hNMpG2d3nUhuHxJBQ2TTI8qFOcyQojtUsqto7eryJZCoZgytcUerltZzb7OIIPxNBU+J+vqSij1OG3NT69aVsVzJ/roCicQCJy64MLm8gnNmit2O8g3oxkgnjbZcTqAQxO0TCAiowmRU5s1EE1yOhBDCMHicp+tkakdezuDJIc6+zIYUvLciX72dAap8btZW1c8qWHQo+kIxtlxOnsockcwjiNPalYT4HHmF5AVPhc3r6kjljK4Z2+nbXRsd2dQiS2FogAosaVQKKZFhc/F5UsnZhfgdmhcvbyaRNokZZj4XfqY7ugjqfa7KHLpBBPpvJYJhpTs7ghOSGyN5uW2weHh2wLY1xnkvKYyWzPT0XQE4/bzD7G6MEPxNCcHorx6de2EBdxo9nWFcgSRKSFlSHRB1mgdXROsqyuxNZO1x/4FDcbzp30VCsXEUQXyCoVi1nE7NIrcjgkLLbC6/q5dUUNTaf5RQgCRpEF3KDGpIu++SHJYaIElPQwJO04PEhtjhM8Q46Ugh5oJdrUHJrym0cRS9sJH16zatAqfE02A36lzfmMpq2smlk51j7H2tClJm/msZRUKxURRkS2FQrFgcDs0LltSiSklf9jbQSyVKwQk8MSxXsq8Tq5ZXjWhkTGtg9E8VgiCtkBs3DqwNTXFWY74dkgsp/zJ0B1KcLAnRDxt4tQ0wF74tZT7ptxJqQmBx6ERsXktdWGNR6rJ49avUCgmhopsKRSKBYcmBJsbStHzRMbSpqQ/mmRvZ2hC5xN5YmUCJhR9W1TmZU1NEZoAxxiHeyZRhH+wJ8Tjx3o5HYjTG0kyGM81G9WFYFND6bRH25R67TsghRA41dgchWLaKLGlUCgWJC0Vfi5pqchbA2VKON4fndC5Fld4bV3bpZQ0TsDgVAjBhoZSXr++gauWVdNQ4s7xsdI1wZra4gmtJ2WYvNIWzBo5ZEqr6L3C66DIpVPtd3H5koopDZkezcrqIlvB5nGesctQKBRTpyBiSwhxpxCiWwixJ89+IYT4phDiiBBilxBiSyGuq1Aozm0WlXm5YaW9SSkw4bqtcq8rU1BOxgRVoAm4sLkcj9PeOsEOl0OjptjNZS2V1Jd40ATDpqxrqotomaANRH80afucTAmapnHrunquW1lTsE7B+hIPa4cicxmDVZ9T5+qllZOqq5svDMZS7OsKcqgnPKGaO4VipilUzdaPgG8DP8mz/yZgRebfRcB3M/+vUCgU08Ll0Cj1OBkYNdNPE9BcPnExsq6uhMXlPtoCMTQhaCrz4p2E0BqJQ9e4cmkVsZRBNGlQ4nHg1Cf+3dbt0MlXlj6ZVORkWF9fyvKqInojSdwOjSq/a8EJLSkl208PcqwviiklmoCdbYNcsriCRQX0O1MoJktB/mqllE8C/WMc8jrgJ9LieaBMCFFfiGsrFArFJYsrcOliOBXm0ARFLgcb6iY+9gagyO1gVU0xK6qLpiy0RuJ16lT6XZMSWmCNFfK79JxKMl0IVlVPLBU5FTxOnaYyL9VF7gUntAC6wwmO9VvNDkMdpYaE51oHckY6KRSzyWx1IzYCp0b8fDqzrWOWrq9QKM5iSr1OXruunpMDUUKJNJU+F01l3kn4TM0vhBBcvayKx4/2EkkaaFgpxJXVfjpDcbrCceqKPXMefUoZJge6w7QORnFqghWZVOlcrelEfzSrzm0IAXSG4iwqU9EtxdwwW2LL7i/PtphCCHE7cDtAc3PzTK5JoVCcRTh1bcKjehYCfpeDm1fXEoiniSTT7OkIsL87PLx/b2eIKp+Ta1bUTLsbcSqkTcmDB7sJJ8+YzA6eGqQ3nOSC5vJZXw/kHS6gUMw5s9WNeBpYNOLnJqDd7kAp5R1Syq1Syq3V1dWzsjiFQnFuEksZRJLpSRmgTgQpJZ2hOPs6g5zoj5LOZ3k/DkIIyrxOjvdF6R81xFsCvdEU+7omZm9RaE4ORIkkjSw3f8OUHOuPELYZTj4btFT4bIWnlExoJJRCMVPMVmTrD8BHhRC/xCqMD0gpVQpRoVDMCeFEmmdO9DEYSyGwaqsuaamgyj998860KXnsSA+DsRSGKdE1wY62Qa5fUU2xZ/I2CmnDpC0Ys90ngeP9ETbUl0xz1ZOnIxi3NXHVhKA3kqRoimOJpkNtkZulFb7hAnkhLA+1ixeXT7puTqEoJAX5axBC/AK4GqgSQpwGPgc4AaSU3wPuA24GjgBR4C8KcV2FQqGYLKaUPHy4h3jKGE47hZMGjx3p5da1dZOyerBjX1eQ/mhyOOJjjbyRPHOinxtX1076fONFxQoclJswfqdVwG93ee8YA7BnEiEEWxeVs6zST3tmSPeich++AjQ7KBTToSBiS0r51nH2S+AjhbiWQqFQTIeOYJyUYeaIBCmtFNja2ulFiU70R20HZQfiKeIpY9Jizu3Q8Dp1Ikl7v6jJ2FsUkuXVRRzqDeeIvbQpccyx63y5z0W5z94VX6GYC1RcVaFQnFPEUoZtjZYhyStoJsNYkaapBKGEEFzYXG5rclrs1llfN/spROvaDvwu++/r29umPnBboTgbUYOoFQrFOUWFzwU2CTCHJqgeVbNlmFbdz2QsJBZX+DjYHcqJbpW4nVP27qor9nDjqlr2dYXojSRw6RrLqvwsrfTPqb1FvkL4vkhylleSTTRlcKArRFc4QZFLZ01tcUHq8RSKqaLElkKhOGvoCFodgJGUQbXfxfr60pzZiRU+F7XFbrpCieECb02Az6mzqMxKyQXjKV5sHaA3kgQBjSVeLmwuw+0YXyytqy2mMxgnlEiTzhTI6wIubamY1nMr9Tq5ZJrnKDQOTZCyyZnO5fDqSDLN/Qe6SBsSE2t0T0cwwcWLy2lWLvKKOUKJLYVCMS+QUnKsL8LBnjDJtEl9iYcN9SX48qSqRnO0L8z204FhU8tIMsbpQJwbV9XkdAFesbSSg91hjvZFMKWkudzHutpidE2QTJs8dKibpJERERLaAjEePpTi5jW14xp2OnWNG1bV0BGM0xdJ4nc7aC7znpXdcMur/BzqCWOM0Fu6gGVV/jlb0+6OIClDZsUtDSnZdmpwQRvdKhY2SmwpFIp5wcttAY70RoajTcf7o7QF4ty8pta2qFxKSUcwzomBqCWIgvEc93DDlOzqCHLZksqs7ZoQrKktZk1t7uibY/0RRk92kVipqe5wgtoJ+DVpQtBY6qWxQIOi5ysb6kuJJA1OB2LoQmBISUOpl431kxuTVEi6Qgnb2ri0lESTxqQtKeIpgx1tg7QF4gigudzH5sZSXGeheFbMHEpsKRSKOSeeMjjcG86qc5JAyjQ51BNmY0P2zVtKyQutA5wajI1pjSCBnkhiUmsJxtO2/lFSQiiRxkafnbPomuCyJZVEk2mCiTQlbseEI5EzhduhEU3lNjpIKSctkAxT8sDBbqupIrPteH+EvkiCG1ePH+VUKIZQ0lyhUMw5g7EUus2Ny5TWzS0+6ubZF03SOo7QGmKyHkvlXqetC7kQUOadvCnpTJFMm7zSHuCP+zp54GAXx/siBXfCnyg+l4O6Ys+cCy2A1TXFOe+fJqC+xIPLMblb3qnBGMlRNiGmtHzZOkOTE/GKcxslthQKxZzjc+m23lQAsZTJPfs6szrc2gO5KUM7dCEm7ZvVUuHDqYmsga5aRmhVzhPvprRh8sDBLg50hwgl0vRHU7x0apBtpwZzjk0Z5oReq7OFxeVe1tQUoQurUF8XUF3k5pLFk28uGIglbQW9KSWBeKoQy1WcI8z91xCFQnHOU+JxUuFz0jfCeX0IiWWU+dzJfm7JFKg7dIEmsBVoAoYjGxvrS2gqm1zdlFPXePXqWl4+PUh7MI4moKXCz6b6knmTNjreHyWWNrPnEg6ZstYV43c56I0keO5EP+GMd1iRS+eyJZUZ64uzFyEEG+pLWV1TTCCewuvU8/qBjUeJx4pyjharmhA5Xa4KxVio3xaFQjEvuHJpFc+d7Kc9GLfdH0mmiaVNfE6dxeU+9nQEc47RheCm1bVIJH6XwzYdOBF8Tj2rqD6RNkgYJrom5oXg6gzZR/Y0IeiLJJESHjnckyXGwkmDBw52c/3K6nPCc8qpa9N+novLvLzSHsA0z3Q3CsDj0KgvUYOtFRNHpREVCsW8wOXQuGpZFX5X/horPaNz/C4HFy2uQBcCpyZwZP5dvrSSYo9jOCIxXWIpg0cP9/D7PR3cu6+TP+ztpCtkLwZnE5/LQb5n53XqHOoJ503LPneyf8bWdbbh0DVuWFlDTbEbgSW0Gko9XLeyRllIKCaFimwpFIp5xfIqP3s6QlkdgQLLjHSkqWhTqZdgbYqjfVEEsKLaT21R4SI2UkoeO9JDMJ4ejmpEUwZPHOvj5tW1k7YQKCQrqvwcHWGTAWciLlV+F3s6c6N+Q4QTBmnDxKGsCyZEkdvBtcurMYcNcJXIUkwe9demUCjmFatriqktdqMLq7jZoQm8Tj3LgV1KyaNHetjfFSKWMoimDPZ0hHjiaG/BOvL6oykiSSPHs8k0JYd6wgW5xlQp8Ti5fEkFboeGQ7Pq18q9Tq5dUY0QYsz0mSZAm+NB0QsRTQgltBRTRkW2FArFvEITgquWVdEfTdIfTeJz6tSVeLJudB2hBIOxVJZzuSElfdEkPZEkNQWIcEWS9nP/JBDOs282aSj1ctt6D6F4GocusorAV1b72d8VzHp9hmgu8ynRoFDMMiqypVAo5iUVPhfLq4poKM0dsdIbTti25BumtOYZFuj6pk2UTBeiIGKuEGhCUOp15nTbuR06N66uzfIYE0CN38XWRWWzu0iFQqEiWwqFYuHhc+m2Lfm6JvA6C/MdssjtYHG5j9aB2HBtlABcDsGyyrmb/TdRSjxOXre+nnAiTSCeosjtoNQzf0xZFYpzCSW2FArFgqO5zMfOtgCjh7JoAhZN0ldrLC5qLqfC5+RQT4S0adJU6mV9XcmCGipd5HbMaTG/QqFQYkuhUCwwUoZJyjS5ZnkVz57oJ5YyAYnP5eDyJZU4tMIJISEEK6uLWVmtBiIqFIqpo8SWQqFYEKQMk+czpqcCgVMXbF1URpnXhQD8Ln1eGI4qFArFaBZOLFyhUJzTPH28j/ZgHFNanYfxtMlzJwZIGiZFbocSWgqFYt6iIlsKhWLeE06k6QknclzRDSnZ3xXi8hGjdRQLk7ZAjAPdYeJpg8YSL2tqi7JMbBWKhYwSWwqFYt4TSxloQmQ5pg8RScy955VieuztDLK3KzTcXRpOhDgxEOGm1XW4HSoBo1j4qN9ihUIx7yn1OG2FlgZUzxPPK8XUSBomezuDWTYepoRE2uRQT2gOV6ZQFA4lthQKxbzH5dBYVV2UM1zaoQtW16pOwYXMYDRl62hvSugIzv3Qb4WiEKg0okKhWBBsaiilxOPkQHeIRNqkrtjNhvrSLJf00QzGUuzrChKIp6n0uVhbW6w8p+YZHqeWU4s3hM+larYUZwfqU0ehUCwIhBAsrfSzdILu7V2hOE8c68M0JRIIxFKcHIhy/coayrzKSX2+UOJxUup1MBBNZQ391oVgdY2KWirODlQaUaFQnJVsOzWIkRFaYA2QTpuSHW2Dc7gqhR1XLa2i0u9CF+DQBE7N8lCr8qt6PMXZgYpsKRSKs460KQnl6VLsDRdmULWicHicOtevrCGSTJNIm5R6nDn1eQrFQkaJLYVCcdahCeufYVML5HKom/h8xe9y4HfN9SoUisKj0ogKheKsQ8vUd+mjdJUuBKuqi+ZmUQqF4pxFiS2FQnFWcl5jGQ2lXjQBTk2gCVha6VNF1wqFYtZRaUSFQnFWomuCy5dUEk0ZRBJpSjwONf5FoVDMCQWJbAkhbhRCHBRCHBFCfNpm/9VCiIAQYmfm3/9XiOsqFArFePicOtVFbiW0FArFnDHtyJYQQge+A1wPnAZeEkL8QUq5b9ShT0kpXzPd6ykUCoVCoVAsJAoR2boQOCKlPCalTAK/BF5XgPMqFAqFQqFQLHgKIbYagVMjfj6d2TaaS4QQrwgh/iSEWJfvZEKI24UQ24QQ23p6egqwPIVCoVAoFIq5oxBiy860ZrS7zQ5gsZRyE/At4Pf5TialvENKuVVKubW6uroAy1MoFAqFQqGYOwohtk4Di0b83AS0jzxAShmUUoYz/30f4BRCVBXg2gqFQqFQKBTzmkKIrZeAFUKIJUIIF/AW4A8jDxBC1AkhROa/L8xct68A11YoFAqFQqGY10y7G1FKmRZCfBR4ANCBO6WUe4UQH8zs/x7wJuBDQog0EAPeIqW0GaShUCgUCoVCcXYh5rPm2bp1q9y2bdtcL0OhUCgUCoViXIQQ26WUW0dvV+N6FAqFQqFQKGYQJbYUCoVCoVAoZhAlthQKhUKhUChmECW2FAqFQqFQKGYQJbYUCoVCoVAoZhAlthQKhUKhUChmECW2FAqFQqFQKGYQJbYUCoVCoVAoZhAlthQKhUKhUChmECW2FAqFQqFQKGYQJbYUCoVCoVAoZhAlthQKhUKhUChmECW2FAqFQqFQKGYQJbYUCoVCoVAoZhAlthQKhUKhUChmECW2FAqFQqFQKGYQJbYUCoVCoVAoZhAlthQKhUKhUChmECW2FAqFQqFQKGYQx1wvQKEYDxlsRR69G8KnwVUCi69Hq7twrpelUCgWEFJKUuFBdI8f3ema6+UozjGU2FLMa2ToNHLnt8BMWRtiPXDoN5ipCNqia+Z2cQqFYkHQuf0xdv3wCySC/QihsejK17H+XZ9Voksxa6g0omJeI4/fd0ZoDWEm4cT9SDM9N4tSKBQLhv5DL7PtW58g3t+FTKcwUwlOPXU3O+/4h7lemuIcQoktxfwmfNp+u5SQCMzuWhQKxYLj0N13YCbjWdvMZIKOFx8gERyYo1UpzjVUGlExv/FUQTJos0OCq2jCp5GpKLL1Eeh5BXQnNFyOaLgEIdT3DYXibCbSccJ2u+ZwER/owl1SPrsLUpyTqDuNYl4jWl4NmjN7o+aE+osRuntC55BGErnjP+D0ExDvhUgHHP098sDPZ2DFCoViPlG+YhNCy73VmUYaf+2iOViR4lxEiS3FvEZUrILVb7O6EIUOmgsar0Asu23iJ+neYaUc5YgaLzMFPa8go90FX7NCoZg/rLztg2guDyCGt+luL8tveS8Oj3/uFqY4p1BpRMW8R6s5D1m9GdIx0N0ITZ/U4+XAIauofjRCg+BJ8NUUZqEKhWLeUVTfwhVf+AX7f/l1+g7uwF1SwfJb30/z1W8c97Gxvg5OPfUHkqEBajZdQfX6S2yjZArFeCixpVgQCCHA6Zvagz2VVlRMGrn73KXTW5hCoZj3lCxayUWf+t6kHtO54zG2f/MTSNPETCc5+eivqVi1hYs+9V00Xd06FZNDSfQ5QA4exdx1B+aLX8E8/DtkYnCul3RWIxoutcRW9lZw+qFs+ZysSaFQzF+MVJId3/kURjKOmbai4kYiSv/B7bQ9e+8cr06xEFFia5YxO19E7voe9O+DaCe0P4N86d+QcdWCPFMITzliwwesKJbmBOGA4kWIzX9V0G5EaSQx257B3PNDzKN3I2O9BTu3QqGYPQYO77TdbiRinH7q7tldjOKsQMVCZxFpGnDkrmyTTmlAOo48+SBi1ZvnbnFnOaJ8BVz8eYj1gu5CFDh9KFNR5I6vQyJo1YcJHdn2NKx/H6JidUGvpVAoZhahO0Dm2adc5xVToCBf64UQNwohDgohjgghPm2zXwghvpnZv0sIsaUQ111wxHvBtKkbwoSBg7O+nHMNIQTCV11woQUgWx+F+OCZQnxpgJlCHvgZUpoFv55CoZg5KlZsQnPlWsvobi+Lr37THKxIsdCZttgSQujAd4CbgLXAW4UQa0cddhOwIvPvduC7073ugsThh3w3XlfJ7K5FUVh6X8m2lhginbDmOSoUigWD0HQu/H/fweEtQvf40JxuNJeHpstvpW7rq+Z6eYoFSCHSiBcCR6SUxwCEEL8EXgfsG3HM64CfSCkl8LwQokwIUS+l7CjA9RcMwlWErFgF/QeyO+M0F2LRtXO3MMX0yWuwaoI2MfNVhUIxf6hYsZkbvvMEndsfJRUOULX+Yoobl831shQLlEKkERuBUyN+Pp3ZNtljzgnEmndC2QrQHKB7rILtlhsR1RvnemmKaSAar7AMV7O3gr8B4SmbiyUpFIpp4vD4aLrsNSx59duV0FJMi0JEtoTNttGlhRM5xjpQiNuxUo00NzdPb2XzEOHwIDZ90LJ7SATBXzvhsTOKeUzdBRA8Dl3bzthMOIsR6/5ibtelUCgUijmnEGLrNDBywFQT0D6FYwCQUt4B3AGwdevWPP0gCx/hLgN32VwvQ1EApJGAwaOI6s3IpmsQ4TbLZqJ0iRp0rVAoFIqCiK2XgBVCiCVAG/AW4G2jjvkD8NFMPddFQOBcq9dSnJ2Y3a/AgZ9Zo3+GWP8+RNnZnXKQqQjy9FMweAg8FYimqxDFaqiv4twmERxAd7pweNXMRUU20xZbUsq0EOKjwAOADtwppdwrhPhgZv/3gPuAm4EjQBRQuZV5hjQNSEXA6Z/07MHpXzttDYp2FS2olKqMD8CBn2b7pgFyz3/DJV9EODxztLKZRSZDyG3/BqmY1YEZOI7seQW5+h1oNZvmenkKxbSQUjJ4dBcDR3bhrayn9rwr0Rxje2sNHNnFy9/7e6Ldp5BA1dqL2PKhr+AurZydRSvmPcJqEJyfbN26VW7btm2ul3FWI6VEtj4MrQ9bHZJCh+brEM3XWfMIZxjz1ONw4k8gJSCh7iLE8tfPuuCbCubJh+DE/bkzFzUXYuWbEHUXzs3CZhjz8G+h/dnc5+3wIy77kkqdKhYsZjrJ8//2QQYO70SaBpruRPf4uPxzP8Nfax+5jfV38egnb8aIR4e3Cd1BUX0LV//rH2blc1QxfxBCbJdSbh29XX0qnuPI00/CyYfASICZtv7/5EPItqdm/tpd2+H4fZlrJ60IUecLyGN/mPFrF4R0zH64Naa172ylb5/98zZTylNMsaA5eu+P6D+4AyMRw0wlSccjJAJ9bP/WJ/I+5uQj/4c0sj32pJEm2ttO/6GXZ3rJigWCElvnOq0Pn3E9H8JMQutDM35pefJBm2unoP1ZK7U4zxGVa23sHgAEnM0jepw+++3SBEeefQrFKEJtR+l46WHCHcfneinDtD7+W8xUInujNAm2HiIesJ91Gu44jplK2u6L9bQVeomKBYqajXiukwrZb0+GZ/7aiaD9dimtaJc2z389S5dBxRro339GNGouqL8Y4aud27XNIKLpGuTBX2YLZaFD6VKEq3juFqZYEKQTMV76+kfpO7gDTXdgplNUrbuIC/7mm+g2I3LGwjTS9Ox6mmhPG6UtaylfsXlaaTvTyPMlTwikYRfFhopV59O14wmMZHY0W5oGpUtGD1NRnKvM87uZYsbx1kCsO3e7r2bmr605wbBJtzk84PDO/PWniRAC1r0bendbKVGhI+ovhPKzOKoFUHMehNvh9OOWIJaGZd669l1zvTLFAmDvT/+NvgPbMFNJhoaX9e59gf2/+k/Wv+PvJnyeWF8nT3/h7STDAaSRRmgaZUvXc/Hf/fekRdsQjZfewrH7foyZzo5U+aob8FbYf4FqvvL1HLnnB5iB1HA6UXN5qNl4uTJCVQyjxNY5jlh+G3LvD7M76jQnYtltM3pdGR+wuh/tKFm6YIqshdCgehOi+tzpwhNCIJa9Btl8DYTbwFWC8NfN9bIUCwApJaee+n1O2s1MJWh97DeTEls7/uvviPd3WZ3UGQaO7OLw3d9n9Z/99ZTWt/J1f0nXjseJ9rZhxKNoLg+a7mDLR/4972McXj9Xfvk3HPjVN+jc/ii6y0PLq97MsltU073iDEpsneOIyrWw4Xbk8Xsh2g2+GsSSWxDlK2b2wuF20J1gF5o34zN77bMMmQwjO56DYCsUNSAaLkW4S2f8usLph/KVM34dxVmElLk1URmM5MT/7lPRMP2HXs4SWpARbU/8bspiy+H1c9U//5bObY/Qf/hlfNVNNF1+K66isjEf5ymtYvMHvgQf+NKUrqs4+1FiS4EoX4Eo/5vZvai3Ik8nnwZncb1TIZGJQavJoOP5zPArE/r3I08/Aef9NaKoYa6XqFBkITSNihXn0X9ox+g9VK65YMLnkWbafggcZHUGRnva6Nz2CELTqdv6KryV40dgNYeThotvpOHiGye8nkIT7Wkj0tVKceMyPOWzUNKhmHGU2FLMCcJfjyxqglBrtujSHIjGK+duYQsEGW5DvvxNq5Ega0cajDTy0P8htnx8bhanOKeQpgFCm3Bh+sb3fo6nP/82zHQKM51Ec7jQXG42vPuzE76mq6iM4sblBE/uz9ouHE7qL3w1AEfu/SEHfvWNzA7Y+/N/Z8N7Psvia/5swteZbYxkgm3f+gQ9u55Bc7owUwkaL76ZTbd/CU1Xt+uFjHr3FHmRRtJKT3XvBIcH0XA5VK4tmEmf2Hi71dXWu8fa4KlArHoLwlddkPMvVGT/Acv/LBWGqg2Ixity3OjloV/lCq2RBFuRpoHQdOt97NoG/QfAXY5ovPSs7pZUzA7du55h94+/TKTjOA5vEUtvejer3vAhW0PiVDTMqSfvom//S/jrW7j4M/9D57ZHCJzYT9nS9Sy5/q2TjuBs+dBXePqL77BEWzKO7vHhLq1i9Z/9FeH24xz41TdyUpa7f/RlajZdmbfYfa7Z89Ov0LPrGcxUYnjt7S/cj6+2mVVv+NAcr04xHZSDvMIWaaaRO/4Tol1niuc1FzRegbbs1sJey0iCmUbk8286hzBPPgwj/cc0J7hLEed/clhwSdNAPvlJMrlDe4SOuPLfwUgit38dEoOZc2qg6Yi170FUrZvpp6M4S+k7uJ3n/vm9WYXuutvD4mvfzPp3fjrr2Higlyc/8yZSkQBGMo5wONF0Bxd/+gdUrtoyrXUkw4OcfvoeIp0nKV++ifqLXo3udHHo99/j4G+/k2M2qrncrHvrp1jy6rdP67ozgTRN7v2LLbY1ba6SSm783tNzsCrFZFEO8orJ0b3DKpgf2aVoJqHtCWQiAIAMtyO7tiODrUxHtAvdpYQWIFNROHl/tn+VmYJEwIowDiE0y9cqH8IBNechhIY8/Tgk+kec0wQzhTzws5ziYoViInTvfoZn/+k9OR2FRiLOiYd/STqe3WV88DffIhHsGy6Al+kURiLGzu99ZlqfG2ClE5fe+E42vOcfaLr8VnSnZTIsTZkZATYKCVKaudvnAdJMY6ZTtvvSsVnwPVTMKEpsKWyRffty3d0BhI4cOIT5yneRO/4DeehXyJ3ftv47Fc09XjFxQqcsoTQaMwV9e4d/FEJA7fn2x6JB8SLEijdZP3a/Yo1hGo00INpZmHUrzhmiPW289PW/yokYDSF0nXh/tm9f5/ZHbY+P9XeQyOPKPl3qL7wO4bCvkqk7/9oZueZ00RwuShbZdYELKlfnBEoUCwwlthT2uErI++vRtxcCxywRMDTXMNyGPPzbWV3iVJDJELLzRWTnS/NPHDp91sibHETm/bCQpgHlq8BZbEW4NLclvIqa4Ly/RtvysTM1Xo485o7SBH1qxo+Kc5fWx3+b32UdwDTxjOr40115DIqlxEynSMcL/3foq26i/oIbEA6nVbyvO9Ccbta85eP4qhsLfr1CsfG9n0N3e4fr3oTDgcPjY907J+4/ppifqAJ5hS2i4VIrdWWOuvnrbug/lJ1eBCtS0rMTKd8+bw1JzfZn4cjvsESkAH6FXP12tJrNc7uwIYqawFNupW9H1mON6NCU6RhyxzcgMZAZaeS0nsq696JV5o4GEY1XIMPto6KUArzVCG/VjD4dxdlHrK8TmSfVJRxOlt78bjSHk74D2zBSCSpWbqHl+rdy8NffzPbR0nQ0p5tHPm51Dlas2srK227HV92Ev3bRtNbY/uKDvPzdTyM0HU13IIVG0+WvZflr3ktRfcu0zj3TVKw8j6v++bccvfdHBE8donzZBpbe/B58VcrGZaGjxJbCFuGvQ656Kxz6P6y7uQnOYsSG25Hbv2b/IGla/+ah2JKxXjj8O8saYST7f4osW45wFc3OOqSEdAx0d07XlhACNn4QufsOiPVZr6M0YcUbEKUt1uNPPACx3jPPw0wBAk7cDzZii5otEDgBnc+dqfNy+hHr3zdjz1Fx9lK94VLaX3gAI5EbjVp2y19Qu+VaHvzIVZjJhDVP0DTY+P4vUrvlGjq3P4rQHUjTxEwlSMciDH2p6Nv3PM/tewHN5cJfu5gLP/HtKYmuaE8bO/7r7zBHGaS2P3cfpUvX8+LXPkIi2E/Fis2seesnKGnKTdtJKTn5yP9x6PffJxHoo2TRCta94++oWnvhpNczFYrql7Dp/V+YlWspZg/VjagYE2mkrFoi3QVFjQghMPfcCb27yemGK16Mdv789HYyTz4Ex++137n8jWhNV8z8GnpesQRfKmwJqYbLEEtvtW2Vl5FOSEetaFcqgux4AZKDVg2W3TxJoSMu/VLeRgMZH4DgCSsdWbpk3kYfFfMbM53kyX/4c0Ltx5GZ+YG620vDRTey8b2f48EPX0kqmj1gXnN5uPpf7gIkgeP7GDy+lxMP/xIjYfN7DCA0POU1XP/Nh23/Nsbi0F3f5eBd382JvgmHE2DEdoHu8XLVl39DUf2S7HPcfQeHf/+9rPVpLg+XfuZOKlaeN6n1KM49VDeiYkoI3YkoW4oobhr21xLLb7PqizTrAwzNAboHserNc7fQ8YiNUYjb8eyMX14OHIb9P4VkwEq5milofyZvnZvw1yFKl0LgOPLFf4bWhyyneDuhNfyg/P5nwlOOqDkPUbZs1oWWTEUwTz6Euev7mEd+b0UZFQsSoTkoW7YRMkamCIGvZhHr3/UZunY+gWnT4SqNNK1P3kVR/RIaL70FaZr5hRaANElHQ/TufWHS60uGA7ZpTplOjdouMZNxDt313azjzHSSw3d/P2d9ZjLOgV9/c9LrUSiGUGlExaQRngq48LPIjuctB3h/PaL+EoS7ZPwHj0JGeyDSYdUQFdXPwGozOMdIE0a6kH37rDmRM4Q8+UBunZuZgq4Xkctem2NaClaLutz/v7mPy0FAcTPCkacQeQ6RiUHktq9mGilSMHAI2f4sbPwgomzpXC9PMUmOP/gz2p79Y5ZtSKTzJLt/9CUrzWbT4CGNNKngwPDPZUvXo7t9tqnI4cdISXywZ9Lrq9l8BScf/fWY5x6+hmnSf3hn1rZEoC+3TjVD6NRhwEpVdmx7GID6rdfN64J7xfxBiS3FlBBOH6J56i3U0kwj9/0E+vdZnXTSQBYvQmy43VZ4TBdRuhR56jHA7oPURLY9PaNiK29kTeiQDIHdc450jCG0hPVPd4LuQqx5R6FWWlDksXshFWX4dZeG9V4f/AVc+JmCTSNQzA7H/vTj3KhPKkH78/ez8vUfRNoIFd3to3bLNcM/1194Awd+8y1ifR15i+2laUwpZVe9/lKq1l1E797nh9epu7wYqYStEPTXNmf97CquyBsh9je0cOz+/2XfL7427OG1/5f/wdq3fZKlrx7/709KSToWRnd50DJpTcW5g0ojTgEZH0AOHkOmIuMfrLBFnnwQ+vdbHlBG3BIVwVbk4d8U9jqxPsyjdyPbnrLSnflIj5HWKATFzdhOzpUS3GX2jxEOe2NGAF8NYuktiFVvRVz8OYS3slArLSz9+7AVuPF+UH8/C45UNGS7XUqJq7iCJTe8Hd19JsKqu72UL99I7Xln5p3qThdXfvGXNF/9RpxFZQhNz6rN0t1emi67NUcITQQhBBd+4lts/ssvU7vlauovvIGtf/OfNFx6M5or2+pEd3lYedsHR21zs/TGd2Y9h6FjF1/7Zvb94mvWKJ100vqXSrDv518l0n16zHV17XySR/7meu7/y0u5730XsOuHX8QYYQorTYPe/S/S8dLDJIL9k37eivmPimxNAmkkrGjMwMHMjTCNbLgcsex15+Q3dJlOgDSm5v7e/qyNfUQaul9GrnrrpAtjbdcXOIF85b+Goyl5v1toTphh+wfRciOy/0C2BYPmgsXXIfQ833J9NeAuhdiodIrmQjS/ClE3O91RQ8hUFHnsHmtWJkDNJsTS1479/uvu/KIq3/NWzFsq11xI5/ZHc6JE3qp6nP4S1r7tk1Svv4STj/4KIxmj8dLX0HjpLTl/z67icja993Nseu/nSMciHP3Tj2l//k/obi9Lrn8bTVe8bsprFJpO48U30XjxTcPbqtZdzB63l9Yn7wYkTn8JG97zj7Zmoav/7GPobh9H772TVCSEr7aJ9e/8e8Ltx+3d56Wk46WHWH7LX9iuZ+Dobrb958fOOOgbaVqf+B2paIjzP/LvhNqO8dy/vJdUNGw1IKWTrHz9h1l5219O+TVQzD+U2JoE8tCvof9gpu0+03rf/izSW4VovHxO1zYeMp1Adm+HcBv4GxC15085XScTAeSBn8HgUetnfx1i9dsRRZPwgrFzp4eMfYQBFEBsHfzFqOsMfVAOCWNpCR5fNaL+kmlfbyxEUQOc91fIo/dA6KTVFdh83ZiCSQgB69+P3PktS5gOfdBXb4ba2XWUltJEvvyNjO1Epl6n8yXk4DG44O/yi+OGy+HEn7KFtdChYi1CmarOO9KJGLHeDjzlNTh9uXWOa9/2SXr3vYCRiCONFELT0BwuNr3v88NfOGs2XU7Npol/Hjq8fla94cOsesOHC/Y8RqM7XdSedzWd2x8jFQ2SjoToeP5+ajdejsPrzzpWaBorb/tLVrzudqRpoOnWbfJw29E8keY8o4EyHL77+xjJ7HmHZjJBx4sPEn/Hp3n+327PuO7LrMeUL99I9fqZ/VxSzB5KbE0QaSStb/SjfZrMJJx+HOax2JLxAWsY8ZDbu+ZCnvgTnP8Jq9h9MueSJvLlb0J8gGHxEm6ztl38jwinf8zHD1O2Cvr2kGMfUdSA0F2TWpPtOtPx3IjQELrLEivJIKJyPdRsyR9dKiCieBFi8+RuKMJfC5d8wUq5JkNQutTaNtv07bOGWcsR3WbSsLor+/dB1Qbbh4lFVyMj7dCz0xJZUoK/FrH6LbOybMXEkFJy8Hff4eg9/wOajjTSNF/9Bta/6zPDYgOgqG4x1/zrHzj6px8zcOhlihqWsOyWv6Bk0co5XP34DB7bw/Zv/b8sY9X2Fx+ke/ezLLvpnbRc/3bcJeVZjxFCIEY89/qt13HwN9/OHT0kNOovuC7vtcPtx7EbGq85XPTsfoZkaCBnv5GIcfzBnyuxdRahxNZEMfJEYiBTADx/kYd/Y3k7Df1Bm0lrGPGhXyM2TjJUPXAwc65R4XRpIDtfRCy6xvZhoxHLX4cMHLVeV5nOjJ1xIFYWyD5C6NjWSAHoHrSVf1aY68wCQtOhav3cLiLcbv83YCSsaGk+sSU0xJp3IFtuso7zVCCKm2Z4sYrJcvKR/+PoH+/MEiOtT9yFw+1j7ds+mXWst7KO9e9YWONjDt/zA6tIfiTSJB0NcujuOzjx8C+56l/uwlNWnfccRfUtrHrjRzn4228Pd2MKTWf1n/31mPVlZcs2Euk8mTP43UyncHiL8lqxpCJB2+2KhYkSWxPF6QdXsTUmJQsBZcvnZEkTpv8Aud+sJAwcREo5uXqzWL/9/D4zlT+SZIPwVsGFn0G2Pw3Bk5Z9ROMVCE/5+A+eyPl1J7JqA/TuyY5Gak5ovKwg1zin8FVZEUFj1A1Ld4M3/w0KLJ8t+vchE0GE5kRKU5mqzjMO/+G/bb2ljj/0c9a85RMIbervl5lO0v3K0yQCvVSs2kpx4+xbfkS7WvOm+mQ6RTIc4NBd32PjX/zjmOdZ8dr3U3/Bq+h4KWP9cMF1Oaaoo1l52+10vPQgxogZkLrby5Ib3kH1uouRRq43me7y0HDxjeM9LcUCQomtCSKEgJV/jtx7p9VBh8xEY5yIpbfO9fLGRmjZ6Z9htMkX9hc3Yhsx0l2IkpbJLctVhGiZuQ8UsfLPkYkBCHdkXoM0VK5DLHrVjF3zrKVqIxy5G4wUWbVvutvalwcZPIF85buWQDdTSM0FxU2w6cOIsbpDFbOKlcrKxUwlMVIJHO6pebiF2o7yzJfehZlMIE0TKU0aL7mJzbd/eVoCbrJUrt5KoPWQZcZqgzTSdO98ckLnKqpfworXfmDC1y6qX8IVn/8Fe3/+7wwcehlXcTnLXvM+Wq57M0IINrzns+z+0T9Z3YnSRHd78de30HzV6yd8DcX855z9tJOxXivqoelQtRHhLh33MaJyDZz3MeSpR61hwaVLEIuuLVg0ZsaoPg+6t2cLLqFPrQOveDGUNFujX8z0mXM5i6zC7RlCJoKWMWjfPnB4EYuuhtoLxhSLwulDbPk4MtxmzRosapiR4csy2oXs3glmGlG96axMkwnNAVv+BnnwlzBgmTtSvtyynshT7yalRO79UXY0zExC6BSy7akJp5wVM09py1r6D27P2e6trEN3TbGRRkpe/NpHSAaza5LaX3iAqvWXsOjy1051uZNm2Wvex4lHf4WZtBdbAM6i8e8BQ3S/8hTH7v9fkqEB6rZex5Ib3m7bUDBESfNKLvn0f9vua776jZQsXs2Jh39JItBH/dZX0Xjpa9BdqoHkbOKcnI1onngQWh+0/v6FACSsfDNa3QUFv9Z8QKaiyJ3fhnifJbiEbtXObP6rKdk2SCOFPPkQdL5gRYuqNiKW3DJjw5xlKoJ86StWbdyQYNRc0HAJ2vKZ+/YnIx3I4/dZaU53GWLxDYhRtVPm6Sfg2B8z35il5eXVeDnasqm3rk9qjVJacxPbnrT8yirXWet0Fc/cNYdENsISUg6vreiVkU6rMcOu89TfgHbB387YGhWTY+Dobp79p3dbNVuZe4Lu8nD+X3+dui1TE8X9h3fy7Jf/ImcoNED5yvO44vM/n9aaJ8u+X36dI/f8wDadKHQH533wX2i67DXjnmf07ETN6cZTUcvV//y7nM7GyZKKhtn383+n7dl7MY00tZuvZP27PoO3sm5a51XMHvlmI55zkS0ZbrfmzA3dMIb+7g79H7JizYwJhrlEOH2w9VMweASiXZZ/U9mKKXuDCd2JWHozLL25wCu1R7Y9DalYdmTOTELbM8jm62ZEWMhIB3L7f2QsCyQkg8h9P0Yufz1aw6XWMfFBOHbPmd8lsI5vexpZswVRvKjg68pZ5+HfQueLZwRN+7PInl1w4adncHyPsPy22p+x0oPOIuSKN6BVbxp12Bi/X6pma15RvmwDl3/hFxz67bcZPL6PovolrHzDh6lctWXS50pFguz47qfpfuWp3M69DIaNAJtpmq96Pcf+9BPM0YXywKIrX0/jpbeMe45kOMDB335neAg3WA768YFuTj72a5bd/J4pr09KybNffg+hU4cwM876Hdsfof/wy7zq6w/g8EzBz3AamOkkgRP70d1eipumfr9QWJx7Yqt7R/bNcRjNsiKov3jW1zQbCCGgfIX1b6ExeDjXcgOsKFLoNFSuKejlZDKE3PuT3IiMmYJj9yDrLrI6BPv3Ylu/ZqaR3a/MuNiSiUFrOPXI10YakI4i25/LGackI13IrpfASCCqNkxZcMvDv4Wul854ZyUDsP+nSIcPMfL3y1tjNZXE+7JPoLnO2r+zhUxp8you+Pi3pn2eF7/+UQYO78wrtDSXh6bLZr/Otah+CdXrL6Xr5ceytjdcchObP/DFcR+fioZ57ivvzxJaQ5jJOF07Hp+W2Oo/sI1wx/FhoWWd2CQdi3D62XtpuXb2Oqg7tj3Cy9/7e5Am0jTxlNdw0Se/S1HD2M0Aivyce18vx0qbzuOUKljeUbL7ZWTXNmQyPNfLmT08ldiPujHyj7qZInLgEPL5L0G0w/4AMw3JoZbsfH8+YuyoTqEInbYfQZQZ+Jy1qf1Z5PavQuuj0PYUcvcPkPv/l8mWEch0HLpetB2qLU8+kLVJCIFY/15weEFzZxpKXFC2fMZNZBVzQ6SrlYGju7IFwwh0t4/ipuUsuf6tBb1uKhKk7+AOoj1teY8Jnj5Mz97ncrZ37XicdMx+ykGsr5O25+6jZ/ezbP/OpwiePGh/ciFwV9TkbJZSkgwHMPMIz+z1HbHtTDQSMQIn9o37+EIR7jjOjm9/knQ0RDoWwUjEiHS28uyX35NjX6GYOOdcZEvUbEa2PWkz4NeEAgwilqkoCB3hKGxxo+zdi9z3Y+smLgEM5PI3ojWc/Tct0XRVJiI5yoXcX4coqi/YdaRpWAXd+dztraNgqM6tagMc+V3uIZqOqJ18+mXSuEvtbTjQYMSsRJmKWOvMSncmrQaR/gOTiwwmgxkPM5ubh82wbVHUCJd8Hnp2W48tXQIlLSolUQAi3afpeOEBpGlQd/61FDfNvQVNrL8TzeHCTOam6pzF5Wz6i/+Puq2vGncQs5SSWF8HDo8PV1HZmMcd+PU3OXrvD9EcTsx0ioqV57H1Y/9JMtSP5nTjq7ImW5x68m57ESgEnS8/TtOINKKUkn0//yrHH/wpmu5EIrOsG0ajO90sveHMMGppmuz92b9y4qFfYqZTaE4nS298F2ve/Dd5py0U1bcgdB1GLVF3e2fVNPbEI7+2EYeSdCxCz57nqdmorHOmwrTElhCiAvg/oAU4Afy5lDKnh1gIcQIIAQaQtisemy1E8SJk45VWQbFpWOJFaLDstgl1JOZDhk5bI2yi3dbPZSsQa95ekHoimYog9/0oVyAe+hVm1zZE05VWkfpZegMTRQ2w7j1WJ1w6U8BbtgxWvRk5eMSKnPgbpv/8QyfzWGRk0JxQc/7wmBnhKkKuegsc/AVZI4BabkL4CycC81LUBN4qiHSSZTKr6YjGM4N/6T9oL5DMJLL7ZavLdqK4y/NEgEVm2LbNHt0NdRP7k5fBVmTrQ1ZtYXEzovn6uXHMLxBmOkXXy08Q622ndMk6KlZtKcjf6fGHfsHen/6rNatPSg7+7r9Yfuv7WP2mvyrAqqdOyaJVtjVRmsPF4qvfOCHvqO7dz7Dz+/9AMjwIpkHlmgvY8pF/x12SO+2i7dl7OfanH1vDoTPX7TuwjQc/ciVC05GmSVHDEi74m29iJGP21g9S5hTxd+14jOMP/gwzlcRMjfXly2LDe/6R8uWWBYo0TZ76/NsYPPLK8H4zleTovT/ENNJ5DWGr1l6Er6qBcMdJpJH5rBca+iylXbt3PcO+X3yVYOsh2y9xEklSDcmeMtONbH0aeERK+RUhxKczP+ezFr5GSpn71XcO0Jbdiqw9H9m72/qWUb15WpYAMhmy5teNbHEfOGRtu+Dvp//h2rsn/0yuwFFk6BTUHkCsKpD7+jxEVK6zxtbE+0H3IHt3wYv/ghS69cHgLoONf4kYEdGZwlXG3l1zPmLlm7I2abXnI8tXQu8uME2oWjfhEUgyGUKefsJqXPBUIhZdnVPnJY0E8sQD0LXNep7VmxFLbrZsLYSATR9C7vkhhE4w7Hu15h3ZAiWvn5UAfXIfAUJ3IhdfDycfzBb/mnPanmmy/wByz/+cOW+0xyr2P++vF6SdRrSnjac//3bSsTBmOoXQdcqWrOPiT/9gWm398YFu9v70X7NEjTTSHP3jndRfeAOlzasKsfwp4SoqZelN7+b4Az8d7tYTmo7D62Ppze8e9/Hh9uO89LWPZhXQ9+57kee/8gGu+uff5hx/5I935pixSiOd9Z0p2HqIZ770Ts77y3/m1BN35R5vGlRvzB63duDX37QVjXYITSPSfWr4557dzzB4dHfOcdI0OPHQL1jz539j+/4LTeOyf/wJu370T3S8+CBSmlStvYhN7/vCmLYShaB79zO89PWPjtm4II00FVNomFBYTFdsvQ64OvPfPwYeJ7/YmleIoobJDU4eA9nxvM03JhMSAetGOs2idDl41L5AfPhSSejahmy6CuGfmxZh2fMK8tRjkAxDxWrE4uunFSm0QwgNvFXI4Ak4clfmppy5Mcd6LPPMiz47dXFbstgSJqNd0jUnrHgTWv1F9utyFUPD5ELrMjGI3PbvkE5Y723wpCUg177LKl4nY+vwyn9ZY26GUoAdzyEHDmaGPzus37FohxW5MtOW6WjbU8jyVWfSFRWr7RehOcYchJ0P0Xwd0lUCrQ9bqcHixYhlt07770ke/s2o6K20om9H70Zs/si0zj0XbP/Op4gP9pyJEqQti4XDf/hvVr/po8PHpWMR2p6/j2hPO+XLNlB73lX5B3sDndsfta0JNNJJ2p+/f07FFsCaN3+c4qblHL33hyRDg9RsvIxVb/wIntLxv9Aee+CnOak+aaQJdxwncGI/pS3ZUdh8ZqzZJzBJR8OYhkHd+a+ic/sjluASGrrTxco3fARvxZkvJ1JKQu3HJvZksSJZx+77EQ0X3kBpyxo6tj2SJ71vCa5keDDreiNxFZez9a++ZtVSSjlrxq/7fv61MYWW7vbSfM2b8FU3zsp6zkamK7ZqpZQdAFLKDiFEboWghQQeFEJI4PtSyjvynVAIcTtwO0Bzc/55U/OKcIe9GJLSisRMAyllputt3AOtrr05EFuWb9nDZ2qdOp5D9uy0BMEU06gy1otsf9Z6/cpWIOouGB5QLduetukolZAKQuiUZbo6BYTQYN37kLu/b72e0rBSzFUbENPwYJPJMPLE/Vb0S3NCw6VWujkV40z6T1pF5gf/z/LKEhoEjlq/WyOfqzQgHkAe+R0y2AqR9uwPdpmCwaPIjucQmeHoQnfBuvdaUSMhMlFSE5qvm7TrP2QK3+svgjzicypII2mNgrIjeKJg15ktkuFBBo/tybnpmqkEp5743bDYCp4+zDNfeAdmOoWRiKF7fPhrm7n8cz/F4ZmsZ5OY1VICI5kg0t2Kp7QKV/EZY2chBIsuf+2UTEsjXbkzBMGKjsX6OnLEVs2GS2l96u68zvBDSGmSGOxhy0f+jZ49z9L+/P3oLg+LrriNsqXrRj2vODJPgX9mNTB6cPSQ0G1Zg9OX/zNP6A7bdGjOcWKWmmwyRDqO591XuXorS258J/UXXD9r6zkbGVdsCSEeBuzu4J+dxHUuk1K2Z8TYQ0KIA1JK29kIGSF2B1imppO4xqwjpYk8chf07Mx3hDWaZDqkY1ad0nhoOjhm14cFMt1prQ9lRySkAek48tTjiGWTrzWw0kl3WueRBvTtQ55+DLZ8wvIMSwYZ/WFnoUHKvqtozOuF2y3x469HlC3NFHS/Yp2rbAViiuINMmnA7V+z1jyU2zhxf2avzbdfIwHxAavAPXTavoZMJjOWD/bfnjEz+xvPpEZExSq49IvQt9caKF2xen5NPtAc1u+wafOcnNMzipwLpGna3JKH9p15T3d8+1OkIqHhI414lHD7MQ7ffQdr3vxx23PXnX8te/73KznbNYdzVubpde9+hl13fpFo9ykrAicE9Vuv47wP/vOU3eaHqFp7Eb17ns8RXEYyRmlLbgPTqjd9lI7tj5KORzICyf5Vl6ZJ+YpNCCGo2XAZNRvyR6J1pzvveQA0l9vWqHVIHC268jbLz8vGImL1m/5q3OaAmUSaJsnQAA5vUVYq01vVQNgmmuf0l3DpP/x4Vkcrna2MK7aklNfl2yeE6BJC1GeiWvVAd55ztGf+v1sIcRdwITCxQVTzGHn8PuumZnfT1BxQuszqxpoOeqZlfqzCbQCE1R0320TaM8XXo74JynSO/cBYSGlCrA+pu+DAz7I7As0kxAeRpx5DLL0FylbA4NHc10SmrVTgRK6XCCBPPwkdz1liVnMAElm2HLHuvYgC+UDJzm2WaMsyZB3jW7OU4MjcsDwVmbSmneDKI7TG2C8cHqg9fwKrnn2E0JANl0L7s6NqwVyw6Nr8D5ynuEsqKGpYSrA12ypAczhpuMQyA44Hegm3H2f0Td1MJTn99D15xZanvIYN7/kHdv/on6wN0gShsfK2v5zxrrUTj/yKPT/+p+FU35CXVvtLD6M5nGz58L8OHyulpGvHY5x89NeYqSRNl99K42WvQRujTrBs+UbbyJY07VNq3sp6rvnXuzl634/o3fcivqoGAif2ER/sGS5s191eq1uzcdmEnqPQNBy+ItLRUO4+3Wn7hUBzuGi45CYAihuXsfG9n2PXnV+wuvqG3p/Xf5Dlr3nvhNYwE7Q99yf2/OTLpKIhQLDoytex/l2fRXe6WP3nH+Pl//q7rFSi7vay4nV/qYRWgZhuGvEPwLuBr2T+/+7RBwgh/IAmpQxl/vsGYHwHuXmOlCa0PZXnximsFE1zXp06YYSmj+ieHPVNSXNaaS7Nhdjw/uE026ziKskvBCcYOZG9u61OQyOVSQfYCAmZhp6dmK4SOPmAjZgQUNySeY3GjvDJcDvy5W9marMyN7qh17Z/P3LPD6xi+2m4nMtwO6TCluC0s5IQmZqc0fMqy1cihiI5leusTsus4c8TQHPCFGqxCoE008hTj2cibwbUnGfV703AzV4svRWZikHPDhAO6/GNlyMar5jxdc8EWz78bzz9xXcg0ymMZBzd48NbUceqN3wYyKSt80RPxkshLb7mTdRsvIyOFx/CNNLUnX8tRfUthX0CozBSSfb9/N/t7ROMFG3P3cfGv/j/hkfW7PnxP9E6oiC9//DLnHr6Hi759H/nvYH37HoGu6iScDjp3PEYLa/KbQLylNew7u1nRj+lYxGO3Hsnbc/dh+7y0HLdW1l8zRsn9Vzrt17HqSd/n7MO3e1h3ds+ye4f/zNg3QeE0Fjx2g9Q2rwKI5mgc4cVabv403eQigTRnG6q1l2M7pyDz+cMvXtfYOf3P5Mlpk4/9QfMVIrzPvjPNFx4A0Yizr5ffJVEsA+nt5gVt/3ltExaFdlMV2x9BfiVEOJ9QCvwZwBCiAbgB1LKm4Fa4K5MLYED+LmU8v4851s4DBUj26E50EZ0ZkkpoWs7su0p6wZfvdnqPHNMLOQult6MJCPuMudn8Y1Wh5bQoGTxtITBdBDeKmTxImt+4EjhoDknNGhYhk4j9/1k7GjPSI79Ic8EAAnB48gX/wW5/n2IMdzRLWE3Rmp24CByz52IDe+f2JpGnjsRQO76vuU5JbSM0LJJSQgdKtdn6rgywqJ4EWLNGa8eoenW4PMDP4PAMes83iorzZjPC0x3QdGi4Xqt2Ubu/oFVazb0fp5+Etm3B7b+rVXQPwZCcyDWvA25/HXDqdSZGzk085Q0r+T6bzzM6WfuIdJ1ivIVm6jf+io0h3XTdZdUULxopWVYOaLbWHO6WXTl+DM/vZX1LL3pXTO2/tFEu1qtL5l5kIZBMhLA4fUTbj/Oycd+m9XRZyRiDBzZSfeup6ndfKXtOYSmgabl1GBpmjbhejSH18/qN/3VlG0wpJQsu/nddG57hHQiOhy9010e1r/z0zRf9QZqNl1Jx4sPZgnd0OkjPP3Fd2CmUkgzjRA61RsuYevffGPMaN5scOj338spgDeScdqeu5f17/w0Tn8Ji654LU2X34qZSqA53WetldBcMa3fACllH/Aqm+3twM2Z/z4GbBp9zIJHc1qmkgmbbpii7DoteejXVuv+0A3y1MPInh1w/icnFI0SQkMsey1yyc1WSspZNGa30mwj1r/PMlwdPGbV3QgNVrwRUTr+aAd5+ok84mkUmsuq3bExzjxzMsNKub3yX0h3Oax6i1WrNLTbNJDH/gih1vGvN3AIGTyJmGBacvgae/4n1/cqBw3cpYi177Bq8sLt1qBrX3XOkcJTjtj8UcxkFPp2W92tiUDuKYUO9RdbnYzlKycsvqVpQPiUFUkqapzWB6wMtlqiMKt+L22tt+eVCacwhdO/IOu07HD6S1hyw9vz7j//o1/l6S+8HSOZyNzkXJQsWsWK105e6M80rpIKZHqsv1WJ02tZFPTue8H2d8mIR+ne+WResdV48c0cve/HmMlssSVNk7rzc241BafjpYfZ/eN/IhHoA02nqGEpMp3CW93Ails/QNU6qynEW1mXJXSjvR088dk35dhF9Ox5jpOP/rrgjvmTJdJ1yna70B3EB3tx+kusn4WYdt2dwp5zzkG+UAghYMUbLZEx2m9o2euGf5Sxvsx4k5Hu3WmID0L3jknNiBOawxJ48wzh9CM2fRiZCEI6Ct7qiYvBeD/2qRRhRXyEZomo2i3Wa5Yv7TKaxICVDtzyiWGXeXng51YkaSJIw6oLm4TYkrFeiHRgX8PnzEQvJJQuRax5hyWInP5xrUGkkYRd3810Ho5K2Wou0N2I1W+bnDkpIPv3I/f975lzOryw/v1T97QKtWL7/hgJZOA4Yp7Wi+XDNNKkY2GcvpIZq1spqm/h+m8+Sue2h4n2dVC+dAOVay+cl1EFd0kF1Rsvo2vHY7b7haahOa2ia6e/xPriNfoYhzOrc3E0RY1LWXrjuzh634+sTKrQQEo2vf8LuEsn76EnTRMjlUB3ecZ9TfsObGPHdz51JgJkpIl0tdJ02WvY/IEvjXENg6c//1ZbXy4jERtXbKXjUSLdp/CU1eAumZmmlfLlG4n1deSWX0iUncMsocTWNBBV62HjB5En/mRFXIoaES03Zd+sgifyu3f3HyhYIfZ8QLhLwF0yuQeVr8ikIEe9PkKDNe9CmCkrTeqtRLY/hwwcG2eczgjMtFVUv+ZtlhDsfWViUTSwhN5kbStSUWvddnirEZs+ZI1yco5TU5aOIztfsKJY3mor6hRpsy+KX3wDovnaSaeRZXzQ6vgc+UXBSCBf+Q5c8oWp1f+5y+yfv+bMGh8035GmyYHffJNj9/8vZjqF01fM2rd9kuYJpPamgu5y0zhiVMx8ZsuH/40nPvtGol2josOaTs3mK4c73Gq3XGMrboSms+jK22zPfez+/+XAb76FmUoiNI2KledRd/61NFx4A57yfK5C9kjT5PAf7uDIPf+DkYjh8BVTtfZCajZeRsPFN9uahB6667s5qTYzGef00/ew7u1/m9fSoWf3s6QiQdt9cKaJIGe7lBy667sc+cN/I3QdM52i/oLr2Xz7l6dlemvHqjd+hK6Xn8jUz1lfiHS3l5Vv+FDBr6WwR4mtaSLKliE2fzT/Aa584kObcAH52YxovALZ/owlVIYiLJoLGi9Hqx7VXVm7FdqfsUa5TKjGS0Is0yAb77VEi91MP/uVQfVG+7MaSStV6CrOtk/IZ+opdKhaPyHPMZkMWwOjUxHrOY7Xidr6KGLx5BsxZNeLWXVCZ3aY0LcPajZP+pxUrAHdY1lLjIxwCQ1RO3WfstnmwK+/wbE//WT4xpsM9rP7zi/i9JVQv3XmU1mFRJomvfteIHjyIL7aRdRuvnJa1gNOXxHX/Ns9PP+V9zNw+BXQNISm4atqYPPt/zR8nMPt5YKPf4uX/vNjSCOViXRLzvvQv9pGUk49dTf7/+8/stzdBw7vpGLVlkkLLYCDd/0XR+/5n+H3MBUepOPFB+na8Th7f/5VLvuHH+VYSYQ7T9qeS9MdxAd68oqtaG+7/d8SgKbRdMXrbHedeupujtzzgyyB1/HSw+hur20kLdxxnBOP/JrEYDc1m66g4eKbJlx0X9y4jCu++Av2//Lr9B9+BU9pJStu+yBNl71mQo+fSZLhAD27n0HoDmo2Xo7DM/sWRrOBElszTdkyy/9q9A1I0xH1l87ZsgqFDHdY3k2awyr895RN6vHC6YfzP2XNw+vbCw4fYtHVUJObchK6E877mOWWf+Su8SNcQofSTLu3tzpPVEtA6VKI9VhF8xJw+hHr3zs8A3Ek5umn4Ng9mfRGGlmyBLHuPVYqVXMgl78BDv6SrPdaGsAEa6hO3A/J0BmBNZ7lhxFFphOTH3yeDOVGE8Fqa0+FJ3euDFZB/19bDQ/h01ZHnbsCsfadCNfMjhspFGY6xbH7/zfrBujyOFm0qh558BeY9R5E7daCD5ofDyOV5MRDv+DU03ejaQ4Wv+rPab7q9WOm69OxCM/807sJdxzHTKXQnS6cRaVc/vmf53Uwnwi608Vl//gTAif2E2g9iL+6kYrVW4cjWVJKDv7mWxz5453WcGgjTWnTCi762+/jLi6zPeehu76bM0bHSMQ4dt+PWPX6D08qjWumUxy994e2juhmOomZTrLtGx/n2q/fnxV9K1u6nlhvbqpNmia+6vzTEcqWrCffqC9fVSNLX21fs3fkD/+d85zNVILTT9/Dhnf/Q1bEqWPbI+z49icxjTTSSNO5/VGO3Pcjlt/yXrq2P4rD66f5mjdRsWJz3nWWLFrJRZ/6Xt79c0Hr479j1w+/iNAdVhuRlFzwN9+gZtPcNPjMJEpszTBCaLD5o8i9d1rGmUKzxqSsfrttQfRCwjz6h4z9RcZp/fi9yFVvRqu1Hzos0wlk54uW072nAtF4OcJbhXCXIFa8EVaM354tdCc0XAKu4tx6uewjrVqmJqsQV7iKkbXnW3VyWY8RlsgqWwaV6xH+BvDX2aZAZP9+S2iNFHmBY8i9PxoeJyMcnsy8xlFC5tTDmPUXIgLHIdYHxY1QsSY3/de3ZwKeaqPW1foQtNw4brffSET5KmTHC7mCVQBlyyd1/ayHeysR538cmQyDNAo+smmmSUVDWT5PxRXFXPraCyzvJYcOR+9GnnwQzv9/Vtp8FpCmwbNffg+BE/uHzTRDbUfo3vkkF3z8m3kfd+DX3yB0+vCw31TaSJFOxtl5x2e55NM/mPa6SlvW5Di6A5x+5h6O3vejrOHQgZP7ef5fP0DTZa+hZuPlOZ5X8QFbi0aMRBwjGR832hHuPMmJh35OpLOVsmUb7O0pRl0v2n0Kf+0Zw+JVb/wI3TufzBJAutvL8ls/MGbReNnSdVSsPp++A9vOmJ0KDXdJBVd/5fd5H5sI9uU5oyQdCw+LLTOd5OXv/X2WeDQSMUKth9h5x2ctM1chaHv2Xla+8SOsuHX85opYXwf7f/UNul95Cqe3iKU3vouW699akNpESxAa46Ynwx0n2PXDL1q/IyPq3V76z7/mhu88MaYT/0JEia1ZQHgrEVs/ZRXLG4nMzXxhG8XJwAloe/qMcJGmFcw5+H/IijVnvKKGjk9FMk7qoeH0mGx/Fta/L6tjcKKIqvWw9l3Io/dAvM+qFypdBsFj1hicilWIJbdk3ezFyj+3uhTbnrS6AIfeg3Cb1RHYuwe5+m1omYL6nOfc+liuOJGGZTkRH0R4yqzBybZzLDV46d+QSOt3QHdbpqXnfSzbAmQqtVKnHkd2bYMtH5+4uKlca003CJ068x5qLis6WYCRTwslkjUaV1Eputs7LFA2X7Ueh9NxRnybSUimkcfuQazJ32VYSLpfeYpg68Es13IjEaP7lacYPL6XsiXrbB936ul7hp/HMKZB794XMJKJGavVGaqTGolMpwgc20Oo9RD7/+8/WHztn7P+nX8//LqWLFrJwJFXcs7lLq1Ed49t/9Gz5zle/OqHh6M+vXufz1snlU32F6qSphVc/rmfsvfnX2Xw6G7cpRUsf+3tNF/1hnHPdNEnv8ORe+7k5GO/xkynaLjoRla98cNjisSKlVvo2vE4o5tKnP5SXCNG+gRO7Lev15QmMp3ZLiVGMs7B33yLRVfeNuYcykSwnyc+80aSkSCYBslgP/t++TWCpw6y6f1Tt8BMRYLsuvMLtL/4IEiTkpa1bP7AlyhdbD+b9fQz99ga2IKgc9sjeWv7FipKbM0iYgEVCY+H7N6eJ6qkQd9+qMuObsnWhy0LgJHpMWlYHYKXfH5K3VeiasPw0OYJHa/piCU3wpIbMQ//1nIrH44iWbMJOfRrZNVG+/RM0sZyAax0ZSoMnjKro8/OV2v4tcpsNxIQ7UEe/xNixYjC69oL4fgfc6/hb8xYSti5yachEUQe/i1i/cQcqoXQYNOHrehW1zYr2lp/CdScN6HHn60ITWfNmz/B3v/9F5ApiiuLbH43TSvlPUv07nsRIx7N2S5Nk/4D2/OKrbxTBqQc0y9rPIxkgqP33knrE3chpUnTZa9lxWvfPywsksH882CHRti0PvYb6s67muoNVinF2rd9iue/8v5sB3OXh3Vv/7u8nw2BE/s5fM8P6HjxwSxxZSTjlleXyPXrGsJTWYevJrfrtrRlLZd+5s6xXwAbNIeLla//ICtf/8EJP2btWz5B374XSSdjw670usvDhvf8Y9Zz1l1epN0YKxuE7qB3z/Nj1mKdePgXpOORrNfGSMQ49dTdOUO5J4qUkue+8n4CJw4MvxeBY3t45ovv5Nqv3YenLDeLYyRiSJvpGFKapEeJ9bOBhR1eUcw/8mmmnl326bF01IpMFQBpGsjevcj2Z61asrHo22e/HjOd38urfPUZ5/fR+KwPKFF/cWb0T87qyBFgMg3tT2Pu+h6y8yXrW14gdz4ZABWrYektec4NYwkAKSUyeALZ8TwycNwy2cWyEtEaL0Pb8jG0zR9B1G6Zl5YDs03Lq/6c8z74LxTVL83vNDKJlO10cZfXDFsqjEQ4nGPaIdRfeANitJmm0ChfsRnHONGifEgpef4r7+fQ779PtPsUsZ42jt57J8988Z3DUYqq9Zfk78rNYCRitD71++GfK1efzyWfuZOK1VvRnG40hwuHt4hwxzHbG2/3rmd4+vNvo/35P9lHsUwTp68IX22ztZbMP93jw+krYevH/nPOf9eLm5Zz5Zd/Q9Nlt+Kva6Fm0xVc/Okf0HBh9sDn4kUrMmJl/PUKxLgDzPv2vZQb8cQSjMGTByb1HIYIHN9L6PQR5CijbzOV4Ll/eT9/ev+FPPDhKznwm28PC+66869Fd9ukWKWkZtPCnBoxFiqypZgSouZ8ZMfzudEtaYKd31O+9JiUVvpqEkjTsAranf7hDj8Z7UHu/JYVMcp8a5eV6xBr32WfsnX67UWeNCGPNYNofpUV0UvHsjsnl77WqiUDRHETculr4djdI4SZlhkNZJcKMKD/AHLwGHS+YBnD2tG9He2Sz2OWLIad38rzytjUmaXjyF3fs9KkQ/hqYfOHF7Q7+0zTcPGNNFx8I+auO6D/AFnvneaAuotmbS2LLruVg7/Ofc813UHdGN2Ra9/yCXr3vUgi0IsRj6K7veguD5v/8stTXkvfgZcYPL43y1PKTCUId56g6+UnqTv/Glb/2V/T9fLjmchF/nTeaIPU8uWbhiMdZjpJItDL4T/8gK6dT3LFF345XE8kpWTX/3zOtgB+JJ6yaq75t3uQUtJ34CUGDu3EXV5Dw4XXjytIZoui+ha2fCh3qPhIhBBc9Knv8fSX3kU6GsI0DZAmApGbhtM0qjfmH7INUNSwhN4D23KiftJI4x2jEWAswp0nbT9nzXSK0KnMjNxoiCN//AGBE3u56JPfpWLV+dRfcD0dLz1kpZ2FQHd6WPaav8BvE3Vc6CixpRgXmY5bnk9Cg7IVCN2JKG1BNl5hFchLExDWvX7Vm3PqtQBovBJyOgg1a0TNJAqNzc4X4fDvsNJ+hjU4eu27rAaEZIisUETfPmT7c4jG3A8fsega5IFf5NZgucvyupcLdwls/VvkqUetG7C7zPK4Ks8e/qs1XYGs3WK9ZpoLylcgX/kvCOQOHT7zxJIQHMPZ3kgi4/2w+w77/UKHqlyrCnn0DxA6nV1HFmlHHr4LseZt+a+nAECsfity57chMXimvb90CaLl1bO2BndpJRf/3ffZ9s1PWOkfKXGXVnLBJ749ZuG2q7ica//9HjpeepjAiX3461povOSmYaFhGmm6dz5J/+GdeCvrabr0lmEn8XwMHNllW3xuxKMMHHmFuvOvwV/TxDX/+geO3PMDeve9RKjtSE5KU3d7abrs1qxtvXufJ3jqYI6QC7UdpWf3M8PRjlQkSKy/a8x16m4vS15tjb4SQlC6eC1ObxGeivp5I7Qmg6ukHKfXbw3HNtLoLi9oAmmkM+OfJELTuehvvz+uHcTSG9/FqSd/jzHCpV9zOClpWUNJ09gGy/koaV5picBxMJMJevY8T/D0YUqaVnDeh75C0+Wvpe3Ze9GcThZdcRsVK8/OUgYlthRjYnbtgIO/GBGlkVZRe/lKxNLXIH11MHDAMu1suAThLrM9j6i/CBk8Ad3bz5zLVYJY9+4Jr0UOHoVDv86Opg0eRu66I5P6G10nlYSOZ8BGbFG92aot63oxe3sigDx2L2LZrbmPwRJcYvlt465VOP1QPWJK1eq3IXd8w1qTkes0Pbxe3QvG6LSJBpXrkafGGG3kKkGssCnk7dqWW7AvDejegVz91jlPpcx3hKsYLvi0Ne8x1mcZF0/VYX8aVK7eyg3ffpzg6cNouoOihqUTeu80h4vGS26m8ZKbs7an41Ge+eI7CXeesKJeLg/7f/l1LvvHH+f4T43EW1mP5nRhjIpY6S4v3qqGEcfVseE9/0C44wSP/d3rkOnsLzXe6kZqt1ydtW3g6G6MRG60yohHGTi6a1hs6W4vQtPGbNqtu+AGFl/zZ0gp2feLr3L8gZ9ZNhSpJA2X3MTmD3xxeEblQmDfz79KtKdtOFJoJK0Gn4pVW1h64ztxuL1UrbtoQs+pqGEJF37qu7xyxz8QH+yx0nabr+K8aUQ8S5pWULXmAnr3vWjrpD8SoWkEWw9R0mTNr63ZeBk140TjzgaU2FLkRcb6LKFlpoAzAkfu/gHy/I/D7h+c8WQyDWQyBCv/zN45WmhWlGDxDdZYF3cplCzJ8uYhfBrSccsx3ibtKE89apO2HJrtl6dGJCNOZDJk1Yd5qqxCeSGQyUGbJ52CtieRLa+emot6HoS3Ci7+R+jdhezda805HC2chA5VG8443UvDcl93eBBLb7H8q+zuMJrTet3tOgDz3ZEmaS9xLiOEsOwwpmGJUZB1aBqlzZPv3LXjyB//h1DbkeHanaGU3LZvfZJXfe2+vI+r33ode378ZSvtM3J4tsNB4yU35Rx/6PffR9p8QYh0tpKORbKc3L2VdeguD0YiuxlAd/vwVpzpENadLhovvdXqZkvb1B45XZQ0LUNoGsce+CknHvpFlg1F+wsP4PSXsOFdnxl+zP/f3nmH11mWf/zzvGdm7zSrSZru3dJ0ULppC1QBQfYQFAVU+LFEUBAUAWUoWwQUUBBQRtlQZguFttBdundWs9Osk5z1Pr8/3jRNet6T0YyTtM/nuryk77zPyDnfcz/3/b1dZYXkLXsdd3UlyeNmEJaYysE93+GMTSZ5/IwOGcE2Hixj55tPU7JhGfbIOIZ878ekTj2FxqpSvvvXPZSsWwqaxehUPPsXlG36Cnd1BQkjJ5MwcnKb4rnoiCYAAKRO1Y51DPjNPztsbnqIpNHTOPnhj3FXl2N1hGMN63q2b/KNj7PjjSfY/9mr+L1uwhJSqS/OC6jjQsrjckSQEluKoMiSNcE7mjY9A41VtMomlayGmGzkgFyo2mkM6Y7KRLRwVhdhCQGjW6SrFLnxKWMZUGhGS/PQH6KlHlEX02gy9BsMZ3iLLVCICSskjEVf/zej8LzJ40wOOxcteSLUB1uKEOCpgbDg7dNHg7DYDRf8xHHIr7cR4GYvNET2Qhi0yHDVd5UYcxRTpyKsYcjIdGP8U4BQkojwIB1EccOhciuts34C4oaqrNZxTIGZLQTQUF5EQ8UBwhLM7U8sdgczfv8fVj96E3WFu0FARHImJ1z7oKkv0sHdG5s77Vpdx2bHVZrXKouWOmUh373w51YjZUCgWa2kTWu9bDvux7fjKiugYsuqgGvrXg+FX7/H0DN+xu53nw00DvU0kvfZq4y55BaEZqF4zeeseexGdL8f6fey//NXQRpLa5rFisUZzow7X2zlyXUk7poqlv3mLDx11Ui/D1dJPuue+i0H922h4Mu3aKyuaKqR8lLw9TsULH8Li81hWHA4wogfNpGpNz8ZVNSJDhTHdxYhhGmX4NFisdkZef4NjDz/BsDwMvvspkX4WogtYbERkZJN3JDxwS5zzKK6ERXB8TcG6djzGzUsJst2Mv9z5Kq7kZufRe58Hbn2IfRN/wjip2K0+coNfzOK1XWPcU/dAztfQ9YeMak+bliQbkAdRlxs1EeJpt8PmgPCkw0D1erdxlKa7jGyW9teQtbkQVA/KdnGmKWuIyx2xPirwRZp+G1ZnEbsIy4y/l25FeGMRQw9G23gnOZCdpExO7ALTrMa5qjBbEVST2x6zpo+rIUVrGGIoef22ONT9H2CO8/LdofIR6YOYs6f3mD+Ix9z8kMfMfeBd5ozblJKKneup3DlB9SX5BGRkoVZ44bu8+CMN/7+dL+P2oJd+Fy1zLjzRaIzh6HZ7Gg2O5EZg8k57TK+uP08PrxqOt8+cj11B/ZhsTsZf8WdaEFq1g55c3nqDpru131e/B43us/D2idvwe9pPJyB0XWQOrrXja+xHnd1Bd8+fH2bz8neJS8YhrgtLSjcDex+7zk89bWti9H9/mZfLJD43S4qt69h/9LXg14/bfoixJFCTNNIHDOt01mt3sIZl8z02/9FdOYIwyHeamPAxNlM/+0/j8sfeiqz1UeR1XuRu96A2kLDu2ngbETm/F41QxUJo5CFy81dxoXFPOvlKm+qEWohxKq2IwuWITLnBR5fvdfo7jsS3YvctwQx9rAbshg4D1nyrWFaeqg7TLND1kK0hJHIqbcZvlHuKkTcUKOebO1DgYJR9yHzlyKyT2sabN0iI6bZjee6G5cQzRDRWXDiH4xMle6DmEHI8o3IlS1MBXctRuacgXbIBT8sASZci9z5unGexQ6pJyJyzD119PzPYe/7TY9fYszjTICJ1/Zb01FF95A552y2v/G3VkapCEFk6qAOzyI88jh3dQVf3/tjXKWFCE2g+3wkjMxFs9lb1fFodgepkxfgiI6n6JuP2fCPO9C9HqTuI3bwWKb95h/N2bC9H79kzA9syk4d+OZjyjZ+xZw/v0lESjbhiWnUHdjbaknT4ggje8GFgNHhWL55ZUDsYUnpWJ3hVGxfS9C5hoeQOnVFe9rM+JV9t8I0U4gQ6J72PaP8nkbyly1m0PwLTPePuuBGKretwVVeiO5xY7E7sYZHMuFnd5se31eIzRnNnD8vxtdQj7BYj+uh1yqzFSKkz40s24AsXYf0tq5RkHVFRranNh/QwVcP+z9B7lzcu0HGDIaE0a2tGTQ7pM00MjABWAKFFhhi5sDX5vfwuUyXGQCo2GxkoJoQjmhE7s2QNh2ciUbN16hL0ZoGMQtHDFr2QrTh5yOST0B464NkwiS4KxEx2YixV0JEGqCBLQoGLUJkLzI5p/sRmsUYZB4/3KhV2/5f47lq/p8P9ryDdJUdPicqA+2E6xCz/4o28z60IT8wHdMjPbWw970mIXno9dANIVqzr1cen6LvknPaZcQPnYDFEY6wWLE6I7BHxZF73UNHfc21f/s1dUV78btd+Brq0b1uKrevIWPmGYQlpiEsVjSbg4GzzmLClfdQvX8b6/72a7x1B/G7XeheD1U7N7Dyz1fijEvG4ggzZhy2XAZsMrzc9c4/EEIw5abHccQkYnVGYHGEo9kcpE1b1NzpOPriXxuPsXkMjcBidzLu8t8BxtJXRwxehRBtjgAKT0wzZoEeiZRotuAdo0fcJOguW3gUc/68mNxr/8qI865jwlX3MP/hjwhLSEH3eZu98/oq1rCI41pogcpshQRZsRm5+V+H/7ikjhx2HlrKZOOf+z8KLJ7WPVC8AjnoNEQQH6juRggBoy41LBQOuYynTEHEDUPGDzfsFnQ/oBsizB4B7mADjs276KQzyShKN9+L3PseYvzPD8fkiEUMOyfwSFcZNFZCZFqz9xaRaeb3FVZjSRIQcUMRk3/d1tPQO5RvMt+u+5GlawOsBtpNw1ftaBKage8jWbbBGHekOKaRuh/d5wv4kvN7GnGVFZF7/aPUFuykatcGwuIHkDLp5KP+QvTUVVO+9duAIm6/u5GKLd8w/5FP8LlqsTiczR1zez74N/4jskHS76O+eB/V+7fh9zSi+8w+S/yUNWWrIlMHseCxzyjb9DXu6grih00kMjW7+dCY7JHMuvtVdr71dw7u2UxkWg7DfnAVsTljmvaPwhYeberQ3xJ7dDzhyQOD7s9ZdDnFaz5r5f0lLFZiskfRUF6Ep9bTpgu8xRFG5py2Z8MKzcKAibMZMHE2AHnL3mDrfx/GfbAce3Q8w8+5huyTzz8ul+j6A0ps9TLSW4/c/HxgMfeO/yFjcoylorpCTP2YhNUQFL0ktqBprEvimIAvZ5Ew0vCcKvrKiCluOAyYBGseDHRgF5bWNggtKQ5M8beirrDN3dLXiPzun8aymrAYS4SpUxFDf4iwRSAz50L+ssNLocJi1Cylz2r7vr2N9AdZzpBH1zlomnkEEGDt4C9tRb/E7/Ww5aUH2P/5a+heD5Fpgxj3kztIGDGZHYv/zq53ngGhIf0+Bs48k7GX396hbru20L1uhNBMXeR8jS6EEAEeXg3lRaalCEKz4D5Yht5UO2VGS+GiWawMmBD87zkqPYcTfnG/6T6haUz91d/4+t4fI30+/H4f0utBWCyGh5XNgdAsTLrmwTZFTNzgsUy4+l42/vMPRqZJ9xE/bBK5//cXfO4GNj33R0o3fInQNBJGTKZq1waklOheN5rNTuKoqWTOPivo9Y8kf/nbbHruj83izlNTwZb/3I8QguyTz+/wdRS9hxJbvU3ZRkzHLkgdWboGkbXQWNYy842SPmN4cR9BhCcFeE7JkZcgNzxpZLykrynjFY3ICmICWb2v7Zs449rcLbf/16j7kj6a7SmKv0GGD0BkzDKWBCPSkPmfg7ceEkYhMhf0vZqlhNGw5+1Aja1ZESZmpe0SNxzT95lmRfSi+7niMFJKo4MPiEwf3GMZiHVP3krx2s/QPUadVF3hblbddxWDv3+F0Z3XooYof/nbWJzhjLnkli7d0xGbhDMuCVdpQavtwmIlNYjLfeLY6VTuWt8c5yF0nwdHXDJ7PnzByP6b/Ahpa9ByZ4nJHsnCJ76gdP0yPHUHiRsygdqCnZRv/ZbwxDRjsHMHuvbSp51G6uQF1BfvxxYR3XyOPSqOqTc/eXhMlhB4XXUc+GZJs/VD3NAJnXo/bH/1sQAHfb+7ge2vP94storXfMbWVx6ivqyAiOSBjLzgBlJOmNvheyi6F9GX13pzc3Pl6tWrQx1GtyILliH3vGO+vJU5Hy3n+8i6QuTah48o3LZByhS0YX2/i0y6a4xRPo0ViJgcSJ4YtOBc3/m64UJvikCM/SkiwXzQrvR7kMt/Y575cSagTftd4Dm6zzD0LF1vZLjSpiNiB3fwkfUset5nsO+DpqVZaXQaps9EG3zGUV1PVu9Fbnq66cuqKUOWcyZaRsfmjsnGKqjcYmRUE8f22vL1sUjV7k2sfvi65u44e2Qsudc/Qtzgjg9S7wiNVaV8cv2CwGJtoWFxOE2XyyyOME77xzdoR85R7CQV21az8r4r0f0+pM+LZndij4hh1r2vmYojb30Nn99yBp6ayuZ6KIsjjMQx0yjb+DUgg8zwszHyghsZvOjyLsXbn3nnkjFBO7xPf3EzRd9+zPonb20lyDS7k0nXPBhU/Cq6ByHEGill7pHbVWart4kfBXveDdyu2REJxlKdiEyHcVcb3Yh1Td2I6bN6dUSIGbK2ABpKITwVEWnelQNNhezZCzt20axToHA5psumOd8PKrQA8Jt0/xyisQL969/BgFxE1qkIq8MYVL3+CeM5bVpWlOWbkNkL0TLndyzeHkTLnIdMGIksWWfMPksej4gKXifSHiJmEEz/I1RtN56ruGHmo5RM0Pd/Avs/pKn1FHa+BqMuRyS28XooTPG6allx70/wNdQ1b2twN7Di3h+z4LHPTf2pjhZXWSGa1R4oUqQe4Dd1CN3nxe9uRAvvWrY3YUQuc+9/h70fv0R9cR4JIyeTOfvsVsalLbFFRDP73sXseucZild/ii0yhqx557Hx+buRwVzINQv2qPh265v6Mu6aSjb/534OfPsxAkHatFMZddHN2CNjOnyN8OSB1BfvC9gelpCK0DS2vvRgQOZL9zSy5SUltkKFElu9jAhPQqbPhsIvDneKaXZIngjRWYePix2MyL0ZKWXICx6NYcZPGSJFCGPJMyYHMeaKLlskaPZI9BNugE1PGct8xkYY9SO09oq4bRGGE31jpfl+Ty3kf4Gs2gmTboSy9a2EFmD8974PkSnT+sTSoohIReQEF7Kdvp5mNZYoO4GsLYD9SwKyr3LL8zD9jwhV89UpilZ9aJqFkLpO0aoPyZrbfdnqiJRsdBNXdRBodie6ieByxiZ1i4M4QHhSOqMvurnDxzui4xh98a8ZfbHRpFLw1btYLBbMGv8sjjAGzjqL4Wf/olsFam+i+zx8eccFNFQcaG4myP/ybap2rmfOfW+163F2iFEX/Yq1j/+qlaCy2J2MPP8GpJS4ygpMz6svbWP+qqJHUdYPIUAb/H3D1DJ1GqRMNUTL8AuCjLkJfWeJ3LXYsKE4NNdP98LB3ci9h8d6SJ8bPX8p+vrH0Tc/jzy4p/3r6n5k/QGEPRrtpHsQJ92DmHYHYuZ97QstjOdGDL/AWGIN+lb2g6sUeWAlsvDLQM8wMIrmD+5q937HC7JkdZAuTg0qNvd+QP0c98Fy/J7ATI3f48Z9sNzkjKPHER1H5pwfGoOKWyFNhZbF7mTMZbf1ic8ZMDoldbPSFiFIHj8Tv7uB9U/fTt7S1wM6GfsDB1Z/irumolXXpvR7cVUcoHRDsHKKQFJzT2bStX8xZmRabUSkZDHh6nvJmHE6QggcQWrMnLEd81BTdD8qsxUiREyOUc/Ux5FSQskak2HGPjiwCob8wPAMW/MXYzxPU52ZrNjcZMhpXh+kl22E7a8Y15E6MjIDMfrHiE42AIi4YTDpJmTeJ8a4INObGY70pgXjxlWMpVqFgW7ilQYcdWfkcU78iEnmM//sTuJHTOr2+4297HbCEtPY/f6/8FQHijmhWbBFxBCTPYJhZ/2chBEB5SW9jq+hnvXP3M6B1Z8izdJaQlC89nOk3w9Sp3zLKvZ+8goz7nixX/k31eTtMK2b070eavJ3MmDinA5fK2XSPFImmRhFA8PO/gVb/nN/q6VjiyOMEedc29mQFd2Eymz1Y6TuR9YdQDYe7Mm7BP+CPSSsDnzdSmg179vzNtLXGHCarCuCrS8YhqZ+j/HlXpOH3PDkUZnziYgURPKkwFE2rW6qB38cmvWohgwbz38Rel0xsqEicOBqfyU6y9wMVuoQP7L34+nnJIyYTPywiVhajJax2J3EDZ1AwojJnb5e48EyKnesw11dYbpfaBpDT/8pE352F9awwKVxqftJHDWFE3/zzz4htAC+ffg6ild/Zi60AHTd2NdkBeF3N1BXuJuCr97uxSi7TmRqNhZHYKOJxeZoGm3UPWSffD6jLrwJe1QsQrNgj45n1MW/JnPO2d12D0XnUJmtfopeshZ2vtosImRUppEZsndvLYMQGjI6G2r2Hrmn2RiU8k2BvmFgfGHX5h0+rglZ+IXJMpVu1F7VFcDRFIULzdzEsy0sDqMxYfzVHa6VOIQs34zc+qKxrIqORBhDrjPnI7IW9pllmc4gpW48pvJNBAyu1qyQc2a3v7+OB4QQTL35SXa9+yx7P34J6fMyYNLJjL3st516n+g+D+ueup0D3ywxiuB9HjJOOoPxP/296fu3rfe0sHTu/d4WFVu/ZfPLD1Kbv4uwhBSGn3MN6dNO6/D5rrJCKratDlJrFhy/u4GiVUu6teatp0mbegpbXv4Lurex2StMaBZskTHdassghGDQwovJXnARfk8jFruzX34mHUuozFY/RNbmw/aXjZmCfrchXKr3GUXsPYAYfl7TsORDQ55thm3CkCYTPluQL2Cpg9XELqCxCnPTVg3cNUcXZOxggi8TBmHMTxHT/2B0f3YC6SoxisX9LWY0Ig3BmfeJYfR65Dm+RmRtvjFGp48iC788LJxbmkk6YhGTfoWWMSN0wfVzqnZtZOdbT+Gtq8ZTW0XRivf56q5L8QXpEDRj638f5sC3H6N7Pfga6tC9Hgq/fpcdb5r/3SeOmorZ35nFEcbAThhotsUhu4eDuzbid7uoK9rD+r//ln2f/q/D12goLzpKU1WBPTL2KM4LHRa7k5l3vULimOnGuC7NQvKEWcz8w8tdNpY1QwiB1RGmhFYfQGW2+iGyYJl5ZshVYhScR3RfNxsYHXJM+a2xXFhXCFGZiNQTm7v3RMZMZOWWI7JbAhyxYCZk4kfAkQOgwXhM0ZmtNklfo1GPVbreEHtp0xHpMwIGcgvNCmOuQH73jPH90momoAkxg9Hihnb0KWgdU+FXQccPHRJcpBvCREqJ3PcB5H/eNLzbh0wYgxhxMcLS/R+uXaLwK/MMpafG6PxUHBVS11nz2I2t6mf8bhe1hbvY8+ELDDvzyvavISX7Pv1v68HRGAXle5e8yPCzfxFwjsXuYPL1j/LNX68xruH3gybInHsOSWOmd/FRGWx55a+B5pqeRrb97yGy5p7TYiZhcKIyhrQ5dzAYFruD7CCDmwFc5UXkLX2dxqpSksZOJzV3fo8Ims4SnpjGibc+g95UJN8VfzO/x03Zpq/wNbpIHDOtW81eFd2LElvdhKzcjjywAvwexIATIGlip5emOkxjJeaZIYuRGepmsQWHvLNONd8XOwSZ833DP0xYjKyIIwYx7irzDsvUE5EFXxhf4ofqqDQ7pJ3UaplK6j7k2oegoeJwgf6ed5DVuxGjfxx43bihcOIfoGwjctebTZknEywOxNDA+YodJlhm7hAtsnOyeBXkL20SMU1fKOXfIXe+hhhx4dHH0BOYdWqCYfdhJsIUHaLuwF68rsCMpu5xU/jVOx0SW0iJv9H8/Wx27UMkjZ3OwseXcuDbT/A11JE0bgZR6d3XmFObv9N0u6+hHq+rtkPeUfaoOAYtuIh9n74S1AvMjKz5FwStOSvd+BXf/vUadN2P9Hkp/Pp9dr37LDPueKFV7Vwo6aqJbOXO9ay67yqk9COl0dU4/IfXMvSMn3ZThIruRImtbkDf/Y7hgn7IKPPgLij+BsZdHZCB6RbiRkBNnnmHYFRG99+vA2gZs5EpU4y4bOEQmRE0dS2sTsj9FTLvM2PZyhqGyJhteI21pHS9IWxaPk7dawzGrjtgaqwqrGGQOtUY5h1MbE28rk1T1naJH24YhQYVJ0b9kxAa5H0WeJz0Qcka5NBz+lZ2K3EcFH0V2EhgjzaylP0E6fcii7+B8g1gDTcyoUfRANFdaFZb0MaPQ0OZ20NoGtFZw6nZvy1gX9zgtsc52SKie6wwOiwxjdr8HQHbNau9U95dI86/jrri/ZSuX4bUdZwJA7A6wqkr3t80UaE1wmLDGXfYxkDqOr7GeqzOCECy9ombW2Xc/G4XtQW72PfJKwHO87UFu/DU1xCTPRKro390Jes+D6vuvwqvq3XZxY7FT5AwMpf4oRNCE5giKEpsdRHZWAmFRyzr6R5j5l/FVugBx22RPsOoC/LWtc4MDZzTYYfwnkBYwwwh0pFjbRGIwafD4NMD9kndB3VFyPKNQQSNMAZPtyWYUqfB/o8ClzajMtEi0zoUY9DYUyYjC5YGDtxuPsACtQXGkqi3zvwYpFFv14fElshaiCzfZJjL6h7jcQiLseTZT2o+pN+LXPcIuEpa25Bkn4aWad4m39NEDMgkPDGNuqK9tMyIWhxhZJ18XoevM+7Hd7DiT1egez2GSapmwWJzMOay3/ZA1B1jxDnXBggbi91JxqwzO3WdNY/eSNl3Xzebv7qrypBRceSccgl7P3opoNNXs1qxNw223vvRS2x77TF8DXVYHeEMnHMWPhNfM93TSMHyd5rFlqu8iFUPXI2rNB+hWZG6nzE/+k2vFtx7XbXkf/k2tYW7iMsZQ9qJizok+Mo3rzI1yvV73OR9/poSW32QLqVdhBDnCiE2CyF0IUTQHmIhxKlCiO1CiF1CiFu7cs8+R9VOTJ9G3YOs2NQjtxS2cETuzZAxG8KSITobMfJiRHbHO4D6KnrZBuRXtyM3PAHl35kfJIThHE9TTdcR9hKydC2UfNv0i1gYosHiAHsUYtSPuhyjsDgQk24CR5Ah2UI7LIJjcjAt3LdF9rk6KGGPREy+FQafAUkTYOBcxJRb+8zsyA5RugZcpYE2JPveRx6aUBACJt/wGPboOKzOCDSbA83uJHn8TLLmdnw5O37YRGbd/SoZM04nOmskmbN+wOx7Xyd2UNd+0Pm9HvKXv836p29nx+Inaawq7fC5qZPnM+4nd+KISURYrAjNgt/rIW/pYpZcPYPCFe+3e43awt2Ubvq6VT2a1P2GeAqLRDPrnBSC1CkLyVv6OlteegBv3UGk34fXVcO+j19BBjE8PbSEKKVk5X1XUle4G7+7EV9DHX53A9/9614qd67v8OPvCnUH9vLJdQvY+vKD7P/kFTb9614+u+k0Gg+WtXtu0MYKKfE1hO59rghOVzNb3wFnA0Hb4IQQFuAJYAFQAHwrhHhbSrmli/fuG1idxpd/ABpYe+7LVNgjEYPPML4YjxFkfTFsfbGd+iDDgFSGJSHXPdZsSSGjMhEjLkZWboM97wRmxLJPQaTP7rY6OmENg+xTkDvfCLyXsECUUegvcr6PPLgT/F6aOxc1G2LYOR3KFkndb5xfvceoNYsZBNGDeizTJKwORPqM5gL//oYsC5INFVao3gsdmEzQE0Sl57Dw8c8pWbeMxoNlxA+dSEx25z3LotIHM/HqP3VbXF5XHV/eeQEN5Qfwu11oVjs7336Gabc8Q0IHDVcHzvoBGTPPZPnvL6ZqzybQ/eieBnRPA+ufuo3wpHTihowPen71vq2mhfR+TyO1hbuYfMOjrH70xqatEqFZmXLjY9jCo9j++hOBMwC9btA0jB85rTOJhwrqa/ZvpaH8QLP9QvM9vW72fvhCr2SG1j99u7EM2LTE7He70H0eNv/nASb98v42z00cNQXdF9ikY3GEkzbNvLZWEVq6JLaklFuh3ZEyU4BdUso9Tce+ApwJHBtiK34UppktzYJIndrr4fQ3ZGOl0d3nKgGvK3iXn7Aan53hKTDyUlj/KHjqaP4wrdmPXPuwkVEKqJHyQ+V2xMBuXkYaMBlK1xlf4rqnKUYNMeqyZlEnIlIg92bk/o+Npc+wRETmAkRMdruXl9V7kRufblV7JrFAzCAYd1XfqvfqK9giOfJL1kCGfEqAZrWTOnlBj96jcsc6dr/3HA0VB0gcM53Bp/0IR0xC0ON3vfMPXCX5zR5Xus8DPlj7xM3Mf/TTDot6V2k+1fu3gL/136/f42bXe88x+bqHg54bnpxh2m+i2exEpeWQPH4mc+5/m/xlb2CLiCVr3rlYbEatW9AsnK5ji4pD+jxIXUfqOmnTTiN9+vcAcNdWmXdKSknjwTKklBR+9S57P/oP3oY60qaewuBFl3fbTEa/10PVzvXNQqv59n4fJWs+a/d8e2Qsoy+5xXCJ93pA6lic4cQPO4HUyfO7JUZF99IbNVvpQH6LfxcAx4wKERYbjL8auenpJqFgDGpm+HmIcDWHqi1k9V7khicNMSSblvxMP3XtkPN9RNJ4hCMGWbIW6fcccaxsyh4FcYmvK+z2+IVmgXFXQdVOZNUOsEUiBkxCOKJbHxeW2OnOQ+l3G75p/iMd+P1Qsw+Z/xki+5QuPoJjD5F+ErJsXWB21OI0ROoxTMHyd9jwjzua5jBKavJ2kLf0deb8eTHOILPyCld+YGom6qmtwlWaT8SATJOzjP1lm1disTlJGjudxqoyNIsNnSNrpSQNZW3/7cUNGU9ESia1BbtazQzULDYy553H1v89zO73nkOz2pFSsvv955j+22eJGJBJRGo2dYW7A64ZnpTOvL98QOmG5bhrykkYnktk2uHXPy5nrKndhGZ3MuCEuXz3r7vJW7a4uTty19v/oHDF+8y+941uKaIXQhjlBuiB+zrYpThowYXED5tI3uev43XVkDplISknzOm5LnhFl2j3VRVCfAKkmOy6TUr5VgfuYfbTKGjfvBDiSuBKgMxM8z/0voaIzoIT72ryjvJBbA7C0n/mdYUKue3lI7JQQd4WUkckjkM01WnRWGGM+Qk4ztP0AWZCJ2cudhQhNIgfjuhgY0CHKd8c8Ku3GemDAytBia0ARHQWcvAPYPebTRMFpNGR2FOdwT1EXdFe6or3EZU+hIgB7U9U0H1eNj1/d6slNd3nwVtfzc43n2bs5beZnncoQ3QkUupoNvPPsL0fv8zmF+8zarQEgGDStQ+aixerncTR09qMXQjB9N8+y/qnf0fJ+i8ASVT6YCZceTc1+7ay54N/o3s96E11WA3uBlY98HPmPvAuoy+6mdWPXB9QoD/yopvRrDZSJpm7stsiohl+zrXseOOJZkGl2RyExSWTPH4mX9z2w+b7gfFcNlaWULD8bbJPPr/Nx9MSV1khO978OxXbVhOemMaQM35G0uhpaFYbyRNmUbr+i9YC02pn4MyOl4bEZI0I+toq+hbtii0pZVdzkgVAy0+LDKCojfs9DTwNkJub2/lBeSFCaBY4SpPMUCPdB42sUFhir3WdSW+9IZraQ7MbRqbO2MPbIjPAYm8aldMCiwNih0LVjtYiTrMF9Qjrs7RypzejrX3HN1r6ScgBk4xlW4sTojP7jdDyNbr49qFrqdi+xsgU+bwMmDibSdc80KZNRH3xfnSTJXjp91G64QvA/As56+Tz2fryX1rXPQmNqIyhhMUPCDi+Jn8Hm/9zv1EX5T3897fm0ZvIWXQZez98oVm8CIsVa1gEOYsua/dx26PimHLT4/g9jeg+b/Ny3Yo/XRHovSV1GioOUFu4iwETZzP5hsfY+t+HqDuwj4gBAxlx3nXNo290n4cdbz1D3mf/w+91M2DiXEZdcAPOuGSGnn4FMVkj2PPhC3hqK0nJnc+gBRdRuvFLNKutldgCYzxQ6cblHRZb9SX5LLvth/gbXUjdT/2BfVRs/ZZBp1zKiHOvZcJP72L5XZfSWFWK1P0IoRE9cCgjzru+Q9dX9C96YxnxW2CoEGIQUAhcAFzUC/dVtINsrERufh7qiwBhdMeNvKR3PInaGhptDQNnAlidiPSZhv9TS+KHQ1gi1Jcc9uASVqM7cNRlsO8DKFxuLE1aw2HwGYiEUT33WHqC2GEETwBrkHxCb0bT7xBWpzGpoJ/x3Qt/omLbGnSvu3lJrmT9F2x/40lGnndd0PNskTGtMiQtsUcHz+pmz7+Aim2rKVm3DCEEQmhYw6PIDVJjlbdscdAZhjFZI5l41b3seu9ZPDVVJI2fwfCzft4pV3OL3dnKdDSYYavQLPhchq1K8vgZJI83b+j49qHrKNu8Ar3JCqLwq3co2/QV8x58H1t4JMnjTiJ53EmtznHGJJr6ogmLlfDEjtvGbH/jCXyN9dCiCF/3edn93rPs+/QVJv3yAeY98C5lm1dQX7yf6MwRxA+b2G9sVhSdo0tiSwhxFvAYkAS8J4RYL6U8RQiRBvxDSrlISukTQlwDLAEswLNSys1djlzRJaTUjW4+90Gav9TdB42C7Cm/QTiD2Bp0E8LiQMaPgMptrU00NRtkzkfLPNk87roD0FAGwy8y7B1KVhs7kk9ADDrNqKEbfAZy0PeMeidrWL/JarREhCch02YYJqNHeoWFJSKyFoYsNkXPIHWdguVvB2RUdE8j+z/9b5tiyxmbRPzwSVRsXd3Kk8riCGPI938S9DzNYmXydQ9Tk7+Dql0bCItPIWns9KB1P/6G1uKhOXYp8XsayZz1g27thkubego1+TuaxVKLGxLTjuVFTf4OyjavbHWu1P34XHXkf/kmOadcYnpe/PBJOKLjcbkbW80I1SzWNscDHUn5llWmzxWAv9HFmsduYt5fPiB57Ekw9iTT4xTHDl3tRlwMLDbZXgQsavHv94H2DVcUvUfVTvC5CMieSD/ywArEoEWmp3UV2VCOzPvUWOJxxBkZLPdBwz5D+iFhNCJjTuB5vkajCaE2v3nGIAmjESf+wfSLQWgW0PqWj1VnEYPPhPjhRrdmQzk442DAZKNRQBXBHnNI3W/azg/G8mJ75P7fX/nmL9dwcO93zUuQQ8+8skMdkNEDhxE9cFi7x6VMnk/B1+8GLO1J3Ufy2O6Zt9iS7PkXkL/sTVzlhfjdDQjNgma1Me6K3wetNztE9f5tQSwlGqjcsS6o2BKaxvTbnuebh66lrnAPwmKYx068+l4iUzveZOGMTaKxojjo/kPiemhHxjUp+j3KQf54xVNtXoAt/U2zFzuOrN6D3PMeuIohLAkxaBEiLvCDW9YXG7MOD3lO1RcbwinndKP4PTIdEW7eNSV3vNpiRFHTL/eKLci8T47ZrjwhBMSPRMR33o9J0f/QrDZiskdSvfeIxL8QJI5uv4HbHhnLjDtfpK54P+6DZURnDu82q4JDJI+bQdLYkyjb9DV+twuEhsVmZ9hZv2g1Pqe7sDojmHXPq+R/+TYl65bijEsme8GFxGS235ASntSGpUQ78yHDk9KZc+8b1JcW4G90EZUxuNM/cIac/lPWPXlr0HmPus+Lp766U9dU9F+U2Dpeic4imM2CiO14ob+s2tlke9EkgLz1yE3PIEf+CC1pbOtj97xzRFG7NMRTwVKYdkfQWgWp+6FsfeDMPt0LRctVV57imGH8FX/gq7t/hO7zIH0+NKsdze5gzCUdH7wRmZJFZEpWj8QnNI3J1z9CybqlFK76EKsjjMzZZ7dpWtpVLHYn2SefR3YnRhuB4bgfnpxBXdGeAEuJjo7kiUg++lmzaVMW4iorZNv/HjEaCo7A4nAyYPyso77+0XBw72Y2v/BnqnZvwhYRzeBFlzN40eXmnmOKbkWJrWMAqfvhYNOyYMzgwxYJbSDCByATxxmDoA917gmrMQanE8XXcvebgZ5GutdovT9CbFG9x/winhoj9mDja6SfoMXiZhYQ/RTp9xjLq5q9X3XQKbqP2JzRzL3vbfYseZGavO3EDR7HoIUX9UjW6GgRmkbKpHmkTArNrMmOIoRg+m3Ps/6p31K68SuaLSWuugdHbBKVO9dTd2Af0RlDic3p/hm2AEO+92MGLbiQtU/+htJ1y/B7jCyXxRFG4ugTSRg1pUfua0Zd0V6+uutHRkYScB8sY/vrj9NQUczYEM7XPF5QYqufI+sOGHMEDwke6UcOPBltUPtzEsXIi5FFK4zskN8LyRMQmSd3zpm8PkhNQmOF0c7cMvVuDQefSUpdCMO2IVicFjsyPKWpa7LVHogzlhOk33BRFlZn4AX6AXrJWtjxCsY0AmlYFoy7EhGZHurQFL1MeFI6Yy65JdRhHBM4ouOYevOT+NwNSL8PW3gUXlctX/7uPGoLd3PISDl20Gim3vJ0txiWHonF7iT3//5Kybql5C19A93vZeCMM0ibekqvdh7uePPv6N7WJsl+dwP7P/sfI865BltEdJAzQ0Nd8X689TVEDxyGxd7/fSuV2OrHSKkjN/4dvHWtd+R/jozJaddoUwgNkX4SpHehE8Ye1dTReATWsECD0YHzjIxXy0yYsEJyLqItKwhADL8AueFxY7i09BvnWeyQOR9941OGtxYSGZGKGHFRl0WKlDogeuXDUNaXwPaXWz8vfjdyw9/gxD+0+9woFIq2aSmiNj3/R6rztiNbmLBW7d7I1lf+ytjLesYgVAhByglzm/2/QsHBvZsDZkGCUStYX5JHbE5o5oYeSUNlCd88+Atqi/agWSxICeMu/x0DZ50Z6tC6hPoU78/U5JmMcwF0D7Loq+53NTcjayHsevMIE1E7DJwXIFRE2nRkYwUUfmGIpUMdhUPPbvc2IjoTJt+KLPwS6oohJgtSp8OGx8FVTrPJZ12hYWkx9XaEPbLTD0dW7UDufN2Y1WhxIDNmI7JP7dElPVm80hCRR6L7oGo7JPTMEodCcaziqatm638fomjVEoSmkXHS6Yw491os9jCKVn7YSmgB6F4P+V+82WNiqz38Hjc7336avKWvo/u8pE1ZyIhz/w97VPdZ8ERlDKGuaE9AY5Tu8xCW2Dcy6FJKVt73M+oK9xjduU3bNz77eyLTBhE3ZFyb5/dllNjqz+gezKchYb5c1wOI1BORXhfkfdzkSSNg4GyEiU+WEAIx+Axk1gJwlYEjNmCOYJv3csYbdghNyKqdSHc1AW7q0o88sBKR1bnhB7ImD7npmcMZJr/byBJ6XYhh53TqWp3CU4e5I7w0hnMrFIoOo/s8fHnnBbjKCptF1b6PX6Zi22pm/uFldL/5/FSzcUO9gZSSVQ9cTeXOdc2eYPs/f43SjcuZe/+73baENuzMq5rqxg7/QNfsTtKnnoojumd9FTtKTd52XKUFRh1yC/xeN3uWvMCkIQ+EKLKuoypw+zPRWa1M95rR7L3mMC6EQMuajzjpXsTU2xAz7kUb9L02M0HCGoaIzuyU0DKlscLcvkL3gqu005eT+5eYF/sXr0T2oHgVCaON1ywgIB16w81foTiGKF79mTECp4V40n0e6g7spWLrt8QPP4GAH6lCI2lcF8opusDB3Zuo2rWhtfmq34e7upKilR90231iskcy9ea/E5mWY1h2OMIYNP9Cxv/srm67R1dx11SYW2xISWNlSe8H1I2ozFY/RlgcyGHnwI5XjSUnpPGlHZGKSJncu7FoFnDE9uo9CVaXpdmbrC06SbBif2GBxoMQ2f3FswAkjjUeS13h4eVYzQ7pM3rcyV/R/ynf+g3bX3+C+uL9xGSNZPg51xDbjrt6f8PrqqVo1Yd4aqpIGDmZuKETgtZTHty3Bb+JCazu9VCdt53xV/yB5XdeiN/rRve6jRFBjjDG/uhwR17ZdyvY88G/cddUkHLCPAadcnG3e5Y1x7t3c1ONaGv8bheVuzYwcNYPuu1eiaOnMu/B99B9HoTF1udGA8UOGmM+0NzuZMDE2SGIqPtQYqufo6VMQUZmIA+sAE8tInEsJI0/LoqqRdRAZEy2YSnRPIRXM0b0pOR2/oKR6U2Grke66uuGe3sPITQLTPgllKxGlqwBiwORNr3/zXNU9DoH1nzG2sdual4aaqwspXzzSk687Tnih04IbXDdROWOdaz888+QUkf3etBsdpLGTGfyDY+YZkEiBmRicYQFmIlabA7Ck9KJSs9h3l8/JG/p69TkbSM2ZwyZs89u7sbb9f7zbH/10ebza/J2kLfsdWbf+0abgstdU8WBb5bga6gnecLMDjnyg+HlZXxet/bi0uzOHvNLa2uoeSixR8Yw7Kyr2fnW083Pv2az44xJIGte53zW+hrCbOBmXyE3N1euXr061GEo+jBS9yH3LYHiVYbgShyDyDkdYe/8r1BZV4hc+0hgsX/6DLTBZ3Rj1ApF15FS8sl182koP9ISBeKHncCM3/8nBFEdHVLXkbovQARIXeejX87GXV3earvFEcbYH99BpknWx9dYzyfXLcBTV91cZiE0C47YROY//DGaNbi1jddVx5KfzwgwIdVsDoad/QuGBRmtU7JuGasfuR4A3e9HWCxkzfkhYy67rd3skdT9fHrDqbgqDrRqlLGGRTL/4Y+6tUi+v1Cybim7P/g3ntoqUnNPZtApl2KPbN8/si8ghFgjpQz4tX/spz8UxzRCsyJyvgc53+v6tSLTYfzPkbsWG0t6tnDImIcY2L/T14pjE93rDlrHUr1vSy9Hc3T4PW42v3gfecveQPd5iR44lHE/uZP4YRMBqN63FZ87cEnQ724g7/PXTMWW1RnBjN+/xLqnfsvB3ZsASBgxmYlX39Om0DLutwXNagsQW7rXTem6ZaZiy+duYPWjN7YqPJd+L3nL3mDApLnGoOk2EJqFk+58kXVP3krFttUgBFHpg5l49Z+OS6EFMGDiHAZMnBPiKLoXJbYUihaImEGISTeGOgyFol0OjfIxq0+yxySEIKLOs+bxmyjdsLxZ3NTkbWfFn65g9r2vNw19lohgHdfBpkoAkanZzPz9S/ga60FoHTYrtUfGBnTCGQgcsYmm55R/t9J84LW7gYIv32pXbAGExQ9g+m3P4XXVIXUf9sjYDsWr6D+obsTjGCklsmQN+uoH0Vfehb7zdaSnNtRhKRSKDiA0jZxTLsVibz01weIIY+gZ5stdfQlXWWEroXUI3eth13vPAUYHnWZifWBxhJE5+4ft3sPqjOiUK3zUwKGEJ2cE1IJZ7A5yTr3U9Byz4vbD+zpXpmMLj1RC6xhFia3jGLnnHeT2/0JdgVEYXvQ1cvX9SG99qENTKBQdYMS515I17zw0mwOLI9wQWmdeSda8jg1aDiX1pflotsBCban7qc3bCRhLbJOvf9R4bHYnILA4wkgYOZmMmd1fRymEYNqvnyYqYwgWRxjWsEgsjjBGXXILCSPMm26SxkwzzYZZHGFknHR6t8eo6J+oAvnjFOmpQ674veHi3hJhhawFaNmnhCQuhULReXyNLtzV5TjjBvSbOXKNVaV8cv0CdG/rYfLCYiV7/oWthiN76g5SuOIDPLVVJI6cTPyI3B63Lagt3I2n9iAx2SOxOsPbPLbom49Z+7dfg9TRfT4sNgdp005lwlX39Dl7BUXPogrkFa2pKwTNCv4jxJZsGhGjxJZC0W+wOsOxOjNDHUancMYlkzbtNA6sWtKquNxiczB40WWtjrVHxjJowYW9Gl9U+uAOH5s2ZQFxQz6kaMUH+BrrSZ4wi7jBY3swOkV/Q4mt4xVHjDHQOQABzv5RXKtQKPo3E668m4gBWez96EV8DfUkjJjE6EtvJTypb8zq6wxh8QMY/L3LQx2Goo+ixNZxiohIQUakGhmulqJLsyIylNWBQqHoeTSLleFn/5zhZ/881KEoFD2KElvHMWLslcgt/zYc2IUGFhti2PmIqIxQh2aKrC1AFiwzZiLGDkNkzETYIkIdlkKhUCgUbaLE1nGMsEciJvzCsHvwNUBYYpsDpEOJLN9kCMNDMyBr8pBFX0HuzV0faK1QKBSKYxJXeREFy9/GU1NF8vgZJI09ydQXradRYkthjLY5ivE2vYWUumFRobcYUCp94HMh93+EGHZO6IJTKBQKRZ+keM3nrHnsRqTuR/d52f/5a8QPP4GpNz+JZuld+aPElqLv01ABfk/gdumHyv4xlkShUPRfpK5TuuFLitctxR4Zw8BZZ/XYkGhF9+D3elj7t5tbdbr63S4qt6+h8Ov3GDjzzF6NR4ktRd/H6mweKBu4r23/G4VCoegKut/Hqgd+TuX2tfjdLoTFyu73/8WEK+8mY3rXZ7IqeoaqHevAZNSTMUbp7V4XW32zQEehaIGwR0FsDojWIzTQ7IiBc0ISk0KhOD4oWrWEyu1r8DcNxJZ+H7qnkQ3P/A6fyVxKRd9AWG0QxLTdbHJBT6PElqJfIEZdBpEZoNnA4jQMWdNnQPKkUIemUCiOYQq/ehe/uyFgu9AsVG5fE4KIFB0hfuj44HM15/Z+na9aRlT0C4QtAjHpBmR9MbirITIdYY8MdVgKheIYx+wL20CiWXs/Q6LoGEKzMPVXf2PFn36KlBLp94GAjJlnkjJpXq/Ho8SWol8hIlIgIiXUYSgUiuOErLnnUrr+i4DslrDYiB+hMut9mbgh41n4xDKK136Ot76axFHTiErPCUksSmwpFAqFQhGEpLHTGbTgIvYseRGhaYYXoRAhsQ8IhpSS6n1baKwsJTZnNM645FCH1GewOsP7RCND33inKBQKhULRBxFCMOqiX5E1/wLKN6/AFhbFgBPmYLE7Qx0aAI3V5az800+pL8lDaBZ0n4esuecw5rLbESKwG08RGpTYUigUCoWiHSKSM4hIPjfUYQSw5tGbqC3cbdQkNZG3bDExg8aQOfusEEamaIkSWwpFP0P6GpEFS6FsA1jDEOmzIGm8+hWrUBxnNFaXU7VzfSuhBYaX1J4P/63EVh+iS2JLCHEu8HtgJDBFSrk6yHH7gFrAD/iklLldua9Ccbwi/W7kmr+Au6ppTqQxoJuafYghPwhtcAqFolfxN7oQFgv4Avf5XHW9H5AiKF3NbH0HnA081YFj50opy7t4P4XiuEYWfwvug81CCwDdA4VfovtcYI9BpExGhKsCWYXiWCc8KQOrM8KkU9JKyqS5IYpKYUaXTE2llFullNu7KxiF4lhBeuvR932Evu4x9K0vImvzu+fClVtbD+RuvqEfir+BvE+Rqx9AP7Cqe+6nUCj6LELTmHDVPUaxvmZM2NDsDhzRCQw986oQR6doSW/VbEngIyGEBJ6SUj4d7EAhxJXAlQCZmZm9FJ5C0X1ITx1y9f3gazCEUbVAlm1AjrgYLXlC1y7uiMX4jRRkViQ66DrsfA2ZNA5hDeva/RSKbkRKibe+BqszTBmCdhMDJsxi1j2vsXfJi9SX5pM4+kSyTz4PW3hUqENTtKBdsSWE+AQwc5G8TUr5Vgfvc5KUskgIkQx8LITYJqX8wuzAJiH2NEBubq75YCOFog8j8z4Bb72RbTK2GKJrx/+QiWMRmqXN89tCpM9AFn9jCKo2D7RA1Q5IGn/U91IoupPiNZ+z8fm7cB+sQGgaA2efxZhLf4MlBHPqjjWi0gcz7id3hjoMRRu0K7aklPO7ehMpZVHT/5cKIRYDUwBTsaVQ9HsqNrcQWi2QPmgo65IDvohIRY68BLb/17iH30vQLJdQzcaKvkHljnWseexG/J5GwHjr5n+xGH9jPSf84v4QR6dQ9Dw9PohaCBEhhIg69N/AQozCeoXi2MQabr5d16EblvW0pPGI6X9ETLgWRl5iDOc2I25Yl++lUHQHO956ulloHUL3uClatQRPbVWIolIoeo8uiS0hxFlCiALgROA9IcSSpu1pQoj3mw4bACwXQmwAvgHek1J+2JX7KhR9GTFwDmhHLo1oEJ2FcMR0zz00CyIqA23ACTBwLmhWQ3RZHGBxIMZcgbAEEWEKRS9TX7zPdLtmtdFQVdq7wSgUIaBL6wxSysXAYpPtRcCipv/eA6jCEcXxQ9IEqCuEgqXGUp70Q3gKYvTlPXI7bdAiZMpUo0bLYoeEMQiro0fupVAcDXGDx+EqyUMeUWuo+/1EJGeEKCqFovdQRR0KRTcjhEDkfB+ZMQfqCgzvq8jUnr1nWAKEndij91AojpZhZ13NgdWf4G9swGhOB4sjjMGLLsfqjGjz3IN7vqN47VIsDifp004jPCm9FyJWKLoXIWXfbfjLzc2Vq1ebmtIrFAqFoh9Rk7eDLS8/SOXO9Tii4hhy+k/JnHtO0DFTUko2PncXBV+8id/rQbNYQGiM/9ldDJxxRi9Hr1B0DCHEGrMpOSqzpVAoFIoeJzpzGNNuCWqxGEDF1m8p+PKt5sJ63WcsQW545g4GTJiNPbJ76h8Vit6gx7sRFQqFQqHoLIVfv4ff3RiwXbNYKdu4PAQRKRRHjxJbCoVCoeh7aBqYrzAa+xSKfoR6xyoUCoWizzFwxhlYbM6A7VL3kzxuZggiUiiOHiW2FAqFQtHniB82kUGnXIJmc6BZ7VjsTjS7g4m/vB9beGSow1MoOoUqkFcoFApFn2TUhTeSOfssStYtw+Jwkjp5AY6YhFCHpVB0GiW2FAqFQtFniUwbRGTaoFCHoVB0CbWMqFAoFAqFQtGDKLGlUCgUCoVC0YMosaVQKBQKhULRgyixpVAoFAqFQtGDKLGlUCgUCoVC0YMosaVQKBQKhULRgyixpVAoFAqFQtGDKLGlUCgUCoVC0YMosaVQKBQKhULRgyixpVAoFAqFQtGDCCllqGMIihCiDNgf6jh6iUSgPNRBKLqMeh2PDdTr2P9Rr+GxQX97HbOklElHbuzTYut4QgixWkqZG+o4FF1DvY7HBup17P+o1/DY4Fh5HdUyokKhUCgUCkUPosSWQqFQKBQKRQ+ixFbf4elQB6DoFtTreGygXsf+j3oNjw2OiddR1WwpFAqFQqFQ9CAqs6VQKBQKhULRgyix1YcQQjwghNgmhNgohFgshIgNdUyKziOEOFcIsVkIoQsh+n0XzfGEEOJUIcR2IcQuIcStoY5H0XmEEM8KIUqFEN+FOhbF0SGEGCiE+FwIsbXps/S6UMfUVZTY6lt8DIyRUo4DdgC/CXE8iqPjO+Bs4ItQB6LoOEIIC/AEcBowCrhQCDEqtFEpjoLngVNDHYSiS/iAm6SUI4FpwC/7+9+iElt9CCnlR1JKX9M/VwIZoYxHcXRIKbdKKbeHOg5Fp5kC7JJS7pFSeoBXgDNDHJOik0gpvwAqQx2H4uiRUh6QUq5t+u9aYCuQHtqouoYSW32XnwAfhDoIheI4Ih3Ib/HvAvr5B7xC0d8RQmQDE4FVIQ6lS1hDHcDxhhDiEyDFZNdtUsq3mo65DSON+p/ejE3RcTryOir6HcJkm2rXVihChBAiEngduF5KWRPqeLqCElu9jJRyflv7hRCXAd8HTpbKl6PP0t7rqOiXFAADW/w7AygKUSwKxXGNEMKGIbT+I6V8I9TxdBW1jNiHEEKcCtwCnCGldIU6HoXiOONbYKgQYpAQwg5cALwd4pgUiuMOIYQA/glslVL+NdTxdAdKbPUtHgeigI+FEOuFEH8PdUCKziOEOEsIUQCcCLwnhFgS6pgU7dPUnHINsASjIPd/UsrNoY1K0VmEEC8DK4DhQogCIcQVoY5J0WlOAi4F5jV9F64XQiwKdVBdQTnIKxQKhUKhUPQgKrOlUCgUCoVC0YMosaVQKBQKhULRgyixpVAoFAqFQtGDKLGlUCgUCoVC0YMosaVQKBQKhULRgyixpVAoFAqFQtGDKLGlUCgUCoVC0YMosaVQKBQKhULRg/w/Gi0qjDDX0EwAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.figure(figsize=(10,6))\n",
-    "plt.scatter(X[:,0], X[:,1], c=y, cmap='Paired')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 41,
-   "id": "ff096992",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "DBSCAN(eps=0.4, min_samples=20)"
-      ]
-     },
-     "execution_count": 41,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from sklearn.cluster import DBSCAN\n",
-    "db = DBSCAN(eps=0.4, min_samples=20)\n",
-    "db.fit(X)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "55420591",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "3bac2b43",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 1.0, 'Clusters determined by DBSCAN')"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 720x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "y_pred = db.fit_predict(X)\n",
-    "plt.figure(figsize=(10,6))\n",
-    "plt.scatter(X[:,0], X[:,1],c=y_pred, cmap='Paired')\n",
-    "plt.title(\"Clusters determined by DBSCAN\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "41ef951f",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 97,
-   "id": "ab36fbd2",
-   "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>TIME_MS</th>\n",
-       "      <th>SUM_PROXIMITY_KMS</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>198147</th>\n",
-       "      <td>1660480.0</td>\n",
-       "      <td>-571.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>198330</th>\n",
-       "      <td>1661756.0</td>\n",
-       "      <td>-379.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>198373</th>\n",
-       "      <td>1661939.0</td>\n",
-       "      <td>-379.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>198393</th>\n",
-       "      <td>1662026.0</td>\n",
-       "      <td>-298.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>198654</th>\n",
-       "      <td>1663491.0</td>\n",
-       "      <td>-75.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>220702</th>\n",
-       "      <td>1798053.0</td>\n",
-       "      <td>-222.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>220708</th>\n",
-       "      <td>1798117.0</td>\n",
-       "      <td>-78.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>220711</th>\n",
-       "      <td>1798205.0</td>\n",
-       "      <td>-222.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>220716</th>\n",
-       "      <td>1798220.0</td>\n",
-       "      <td>-142.3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>220723</th>\n",
-       "      <td>1798317.0</td>\n",
-       "      <td>-222.9</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>259 rows × 2 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          TIME_MS  SUM_PROXIMITY_KMS\n",
-       "198147  1660480.0             -571.0\n",
-       "198330  1661756.0             -379.2\n",
-       "198373  1661939.0             -379.2\n",
-       "198393  1662026.0             -298.0\n",
-       "198654  1663491.0              -75.7\n",
-       "...           ...                ...\n",
-       "220702  1798053.0             -222.9\n",
-       "220708  1798117.0              -78.9\n",
-       "220711  1798205.0             -222.9\n",
-       "220716  1798220.0             -142.3\n",
-       "220723  1798317.0             -222.9\n",
-       "\n",
-       "[259 rows x 2 columns]"
-      ]
-     },
-     "execution_count": 97,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "test21[['TIME_MS','SUM_PROXIMITY_KMS']]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 103,
-   "id": "1c6a3aa4",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Collecting kneed\n",
-      "  Downloading kneed-0.7.0-py2.py3-none-any.whl (9.4 kB)\n",
-      "Requirement already satisfied: matplotlib in c:\\programdata\\anaconda3\\lib\\site-packages (from kneed) (3.3.4)\n",
-      "Requirement already satisfied: numpy>=1.14.2 in c:\\programdata\\anaconda3\\lib\\site-packages (from kneed) (1.20.1)\n",
-      "Requirement already satisfied: scipy in c:\\programdata\\anaconda3\\lib\\site-packages (from kneed) (1.6.2)\n",
-      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib->kneed) (2.4.7)\n",
-      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib->kneed) (1.3.1)\n",
-      "Requirement already satisfied: cycler>=0.10 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib->kneed) (0.10.0)\n",
-      "Requirement already satisfied: pillow>=6.2.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib->kneed) (8.2.0)\n",
-      "Requirement already satisfied: python-dateutil>=2.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib->kneed) (2.8.1)\n",
-      "Requirement already satisfied: six in c:\\programdata\\anaconda3\\lib\\site-packages (from cycler>=0.10->matplotlib->kneed) (1.15.0)\n",
-      "Installing collected packages: kneed\n",
-      "Successfully installed kneed-0.7.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "!pip install kneed"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 104,
-   "id": "375e8a75",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from sklearn.neighbors import NearestNeighbors\n",
-    "import plotly.express as px\n",
-    "from kneed import KneeLocator"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 208,
-   "id": "c7b703f8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "\n",
-    "neighbors = 66\n",
-    "X_embedded = test2[['TIME_MS','SUM_PROXIMITY_KMS']]\n",
-    "nbrs = NearestNeighbors(n_neighbors=neighbors ).fit(X_embedded)\n",
-    "distances, indices = nbrs.kneighbors(X_embedded)\n",
-    "distance_desc = sorted(distances[:,neighbors-1], reverse=True)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 209,
-   "id": "15270810",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "\n",
-    "kneedle = KneeLocator(range(1,len(distance_desc)+1),  #x values\n",
-    "                      distance_desc, # y values\n",
-    "                      S=1.0, #parameter suggested from paper\n",
-    "                      curve=\"convex\", #parameter from figure\n",
-    "                      direction=\"decreasing\") #parameter from figure"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 210,
-   "id": "ddc4ab80",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "5417.664855821186"
-      ]
-     },
-     "execution_count": 210,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "kneedle.knee_y"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 173,
-   "id": "7a790a32",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "kneedle.plot_knee_normalized()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "234fd0ce",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}