Predicting_Online_Shoppers_Purchasing_Intention.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Set Information:\n",
    "\n",
    "The dataset consists of feature vectors belonging to 12,330 sessions.\n",
    "The dataset was formed so that each session\n",
    "would belong to a different user in a 1-year period to avoid\n",
    "any tendency to a specific campaign, special day, user\n",
    "profile, or period."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Attribute Information:\n",
    "\n",
    "The dataset consists of 10 numerical and 8 categorical attributes.\n",
    "The 'Revenue' attribute can be used as the class label.\n",
    "\n",
    "\"Administrative\", \"Administrative Duration\", \"Informational\", \"Informational Duration\", \"Product Related\" and \"Product Related Duration\" represent the number of different types of pages visited by the visitor in that session and total time spent in each of these page categories. \n",
    "\n",
    "The values of these features are derived from the URL information of the pages visited by the user and updated in real time when a user takes an action, e.g. moving from one page to another. The \"Bounce Rate\", \"Exit Rate\" and \"Page Value\" features represent the metrics measured by \"Google Analytics\" for each page in the e-commerce site. \n",
    "\n",
    "The value of \"Bounce Rate\" feature for a web page refers to the percentage of visitors who enter the site from that page and then leave (\"bounce\") without triggering any other requests to the analytics server during that session. The value of \"Exit Rate\" feature for a specific web page is calculated as for all pageviews to the page, the percentage that were the last in the session. The \"Page Value\" feature represents the average value for a web page that a user visited before completing an e-commerce transaction. The \"Special Day\" feature indicates the closeness of the site visiting time to a specific special day (e.g. Mother’s Day, Valentine's Day) in which the sessions are more likely to be finalized with transaction. The value of this attribute is determined by considering the dynamics of e-commerce such as the duration between the order date and delivery date. For example, for Valentina’s day, this value takes a nonzero value between February 2 and February 12, zero before and after this date unless it is close to another special day, and its maximum value of 1 on February 8. The dataset also includes operating system, browser, region, traffic type, visitor type as returning or new visitor, a Boolean value indicating whether the date of the visit is weekend, and month of the year.\n",
    "\n",
    "<h1> Numerical Features</h1>\n",
    "<h4>Administrative:</h4> Number of pages visited by the visitor about account management.\n",
    "\n",
    "<h4>Administrative durationTotal:</h4>  amount of time (in seconds) spent by the visitor on account management related\n",
    "pages.\n",
    "\n",
    "<h4>Informational:</h4>  Number of pages visited by the visitor about Web site, communication and address\n",
    "information of the shopping site.\n",
    "\n",
    "<h4>Informational duration:</h4> Total amount of time (in seconds) spent by the visitor on informational pages.\n",
    "\n",
    "<h4>Product related:</h4>  Number of pages visited by visitor about product related pages.\n",
    "\n",
    "<h4>Product related duration:</h4> Total amount of time (in seconds) spent by the visitor on product related pages.\n",
    "\n",
    "<h4>Bounce rate:</h4> Average bounce rate value of the pages visited by the visitor.\n",
    "The value of \"Bounce Rate\" feature for a web page refers to the percentage of visitors who enter the site from that page and then leave (\"bounce\") without triggering any other requests to the analytics server during that session.\n",
    "\n",
    "<h4>Exit rate:</h4> Average exit rate value of the pages visited by the visitor. The value of \"Exit Rate\" feature for a specific web page is calculated as for all pageviews to the page, the percentage that were the last in the session.\n",
    "<h4>Page value:</h4> Average page value of the pages visited by the visitor. The \"Page Value\" feature represents the average value for a web page that a user visited before completing an e-commerce transaction.\n",
    "<h4>Special day:</h4> Closeness of the site visiting time to a special day.\n",
    "feature indicates the closeness of the site visiting time to a specific special day (e.g. Mother’s Day, Valentine's Day) in which the sessions are more likely to be finalized with transaction.\n",
    "\n",
    "<h1> Categorical Features</h1>\n",
    "<h4>OperatingSystems:</h4> Operating system of the visitor.\n",
    "\n",
    "<h4>Browser:</h4> Browser of the visitor.\n",
    "\n",
    "<h4>Region: </h4> Geographic region from which the session has been started by the visitor.\n",
    "\n",
    "<h4>TrafficType:</h4> Traffic source by which the visitor has arrived at the Web site (e.g., banner, SMS, direct).\n",
    "\n",
    "<h4>VisitorType:</h4> Visitor type as ‘‘New Visitor,’’ ‘‘Returning Visitor,’’ and ‘‘Other’’ \n",
    "<h4>Weekend:</h4> Boolean value indicating whether the date of the visit is weekend \n",
    "<h4>Month:</h4> Month value of the visit date \n",
    "<h4>Revenue:</h4> Class label indicating whether the visit has been finalized with a transaction "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1 Import Data and Python Packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"online_shoppers_intention.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>ProductRelated</th>\n",
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       "      <td>3</td>\n",
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       "      <td>0.050000</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>Returning_Visitor</td>\n",
       "      <td>False</td>\n",
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       "      <td>0.020000</td>\n",
       "      <td>0.050000</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0.024561</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "      <td>Returning_Visitor</td>\n",
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       "      <td>Returning_Visitor</td>\n",
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       "      <td>2</td>\n",
       "      <td>Returning_Visitor</td>\n",
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      "text/plain": [
       "   Administrative  Administrative_Duration  Informational  \\\n",
       "0               0                      0.0              0   \n",
       "1               0                      0.0              0   \n",
       "2               0                      0.0              0   \n",
       "3               0                      0.0              0   \n",
       "4               0                      0.0              0   \n",
       "5               0                      0.0              0   \n",
       "6               0                      0.0              0   \n",
       "7               1                      0.0              0   \n",
       "8               0                      0.0              0   \n",
       "9               0                      0.0              0   \n",
       "\n",
       "   Informational_Duration  ProductRelated  ProductRelated_Duration  \\\n",
       "0                     0.0               1                 0.000000   \n",
       "1                     0.0               2                64.000000   \n",
       "2                     0.0               1                 0.000000   \n",
       "3                     0.0               2                 2.666667   \n",
       "4                     0.0              10               627.500000   \n",
       "5                     0.0              19               154.216667   \n",
       "6                     0.0               1                 0.000000   \n",
       "7                     0.0               0                 0.000000   \n",
       "8                     0.0               2                37.000000   \n",
       "9                     0.0               3               738.000000   \n",
       "\n",
       "   BounceRates  ExitRates  PageValues  SpecialDay Month  OperatingSystems  \\\n",
       "0     0.200000   0.200000         0.0         0.0   Feb                 1   \n",
       "1     0.000000   0.100000         0.0         0.0   Feb                 2   \n",
       "2     0.200000   0.200000         0.0         0.0   Feb                 4   \n",
       "3     0.050000   0.140000         0.0         0.0   Feb                 3   \n",
       "4     0.020000   0.050000         0.0         0.0   Feb                 3   \n",
       "5     0.015789   0.024561         0.0         0.0   Feb                 2   \n",
       "6     0.200000   0.200000         0.0         0.4   Feb                 2   \n",
       "7     0.200000   0.200000         0.0         0.0   Feb                 1   \n",
       "8     0.000000   0.100000         0.0         0.8   Feb                 2   \n",
       "9     0.000000   0.022222         0.0         0.4   Feb                 2   \n",
       "\n",
       "   Browser  Region  TrafficType        VisitorType  Weekend  Revenue  \n",
       "0        1       1            1  Returning_Visitor    False    False  \n",
       "1        2       1            2  Returning_Visitor    False    False  \n",
       "2        1       9            3  Returning_Visitor    False    False  \n",
       "3        2       2            4  Returning_Visitor    False    False  \n",
       "4        3       1            4  Returning_Visitor     True    False  \n",
       "5        2       1            3  Returning_Visitor    False    False  \n",
       "6        4       3            3  Returning_Visitor    False    False  \n",
       "7        2       1            5  Returning_Visitor     True    False  \n",
       "8        2       2            3  Returning_Visitor    False    False  \n",
       "9        4       1            2  Returning_Visitor    False    False  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1.1 Describing Data and Checking Null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12330, 18)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking the shape of the data\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <th>mean</th>\n",
       "      <td>2.315166</td>\n",
       "      <td>80.818611</td>\n",
       "      <td>0.503569</td>\n",
       "      <td>34.472398</td>\n",
       "      <td>31.731468</td>\n",
       "      <td>1194.746220</td>\n",
       "      <td>0.022191</td>\n",
       "      <td>0.043073</td>\n",
       "      <td>5.889258</td>\n",
       "      <td>0.061427</td>\n",
       "      <td>2.124006</td>\n",
       "      <td>2.357097</td>\n",
       "      <td>3.147364</td>\n",
       "      <td>4.069586</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.321784</td>\n",
       "      <td>176.779107</td>\n",
       "      <td>1.270156</td>\n",
       "      <td>140.749294</td>\n",
       "      <td>44.475503</td>\n",
       "      <td>1913.669288</td>\n",
       "      <td>0.048488</td>\n",
       "      <td>0.048597</td>\n",
       "      <td>18.568437</td>\n",
       "      <td>0.198917</td>\n",
       "      <td>0.911325</td>\n",
       "      <td>1.717277</td>\n",
       "      <td>2.401591</td>\n",
       "      <td>4.025169</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>184.137500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014286</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>598.936905</td>\n",
       "      <td>0.003112</td>\n",
       "      <td>0.025156</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>93.256250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>1464.157213</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>27.000000</td>\n",
       "      <td>3398.750000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>2549.375000</td>\n",
       "      <td>705.000000</td>\n",
       "      <td>63973.522230</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>361.763742</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Administrative  Administrative_Duration  Informational  \\\n",
       "count    12330.000000             12330.000000   12330.000000   \n",
       "mean         2.315166                80.818611       0.503569   \n",
       "std          3.321784               176.779107       1.270156   \n",
       "min          0.000000                 0.000000       0.000000   \n",
       "25%          0.000000                 0.000000       0.000000   \n",
       "50%          1.000000                 7.500000       0.000000   \n",
       "75%          4.000000                93.256250       0.000000   \n",
       "max         27.000000              3398.750000      24.000000   \n",
       "\n",
       "       Informational_Duration  ProductRelated  ProductRelated_Duration  \\\n",
       "count            12330.000000    12330.000000             12330.000000   \n",
       "mean                34.472398       31.731468              1194.746220   \n",
       "std                140.749294       44.475503              1913.669288   \n",
       "min                  0.000000        0.000000                 0.000000   \n",
       "25%                  0.000000        7.000000               184.137500   \n",
       "50%                  0.000000       18.000000               598.936905   \n",
       "75%                  0.000000       38.000000              1464.157213   \n",
       "max               2549.375000      705.000000             63973.522230   \n",
       "\n",
       "        BounceRates     ExitRates    PageValues    SpecialDay  \\\n",
       "count  12330.000000  12330.000000  12330.000000  12330.000000   \n",
       "mean       0.022191      0.043073      5.889258      0.061427   \n",
       "std        0.048488      0.048597     18.568437      0.198917   \n",
       "min        0.000000      0.000000      0.000000      0.000000   \n",
       "25%        0.000000      0.014286      0.000000      0.000000   \n",
       "50%        0.003112      0.025156      0.000000      0.000000   \n",
       "75%        0.016813      0.050000      0.000000      0.000000   \n",
       "max        0.200000      0.200000    361.763742      1.000000   \n",
       "\n",
       "       OperatingSystems       Browser        Region   TrafficType  \n",
       "count      12330.000000  12330.000000  12330.000000  12330.000000  \n",
       "mean           2.124006      2.357097      3.147364      4.069586  \n",
       "std            0.911325      1.717277      2.401591      4.025169  \n",
       "min            1.000000      1.000000      1.000000      1.000000  \n",
       "25%            2.000000      2.000000      1.000000      2.000000  \n",
       "50%            2.000000      2.000000      3.000000      2.000000  \n",
       "75%            3.000000      2.000000      4.000000      4.000000  \n",
       "max            8.000000     13.000000      9.000000     20.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#describing the data\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Administrative             0\n",
       "Administrative_Duration    0\n",
       "Informational              0\n",
       "Informational_Duration     0\n",
       "ProductRelated             0\n",
       "ProductRelated_Duration    0\n",
       "BounceRates                0\n",
       "ExitRates                  0\n",
       "PageValues                 0\n",
       "SpecialDay                 0\n",
       "Month                      0\n",
       "OperatingSystems           0\n",
       "Browser                    0\n",
       "Region                     0\n",
       "TrafficType                0\n",
       "VisitorType                0\n",
       "Weekend                    0\n",
       "Revenue                    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking if data contains any NULL values\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2 Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# checking the Distribution of customers on Revenue\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (12, 4)\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.countplot(df['Weekend'], palette = 'pastel')\n",
    "plt.title('Buy or Not', fontsize = 30)\n",
    "plt.xlabel('Revenue or not', fontsize = 15)\n",
    "plt.ylabel('count', fontsize = 15)\n",
    "\n",
    "\n",
    "# checking the Distribution of customers on Weekend\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.countplot(df['Weekend'], palette = 'inferno')\n",
    "plt.title('Purchase on Weekends', fontsize = 30)\n",
    "plt.xlabel('Weekend or not', fontsize = 15)\n",
    "plt.ylabel('count', fontsize = 15)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Returning_Visitor    10551\n",
       "New_Visitor           1694\n",
       "Other                   85\n",
       "Name: VisitorType, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['VisitorType'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting a pie chart for visitors\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (18, 7)\n",
    "size = [10551, 1694, 85]\n",
    "colors = ['red', 'green', 'pink']\n",
    "labels = \"Returning Visitor\", \"New_Visitor\", \"Others\"\n",
    "explode = [0, 0, 0.1]\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.pie(size, colors = colors, labels = labels, explode = explode, shadow = True, autopct = '%.2f%%')\n",
    "plt.title('Different Visitors', fontsize = 30)\n",
    "plt.axis('off')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x22fa2d01a90>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(2,1,figsize=(10,10))\n",
    "sns.countplot(df[\"VisitorType\"],palette=\"hls\",ax=ax[0])\n",
    "sns.countplot(df[\"VisitorType\"],hue=df[\"Revenue\"],palette=\"hls\",ax=ax[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax=plt.subplots(2,1,figsize=(12,10))\n",
    "sns.countplot(df[\"Month\"],palette=\"cubehelix\",ax=ax[0]);\n",
    "sns.countplot(df[\"Month\"],hue=df[\"Revenue\"],palette=\"Blues\",ax=ax[1]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting a pie chart for browsers\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (18, 7)\n",
    "size = [7961, 2462, 736, 467,174, 163, 300]\n",
    "colors = ['orange', 'yellow', 'pink', 'crimson', 'lightgreen', 'cyan', 'blue']\n",
    "labels = \"2\", \"1\",\"4\",\"5\",\"6\",\"10\",\"others\"\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.pie(size, colors = colors, labels = labels, shadow = True, autopct = '%.2f%%', startangle = 90)\n",
    "plt.title('Different Browsers', fontsize = 30)\n",
    "plt.axis('off')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualizing the distribution of customers around the Region\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (18, 7)\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.hist(df['TrafficType'], color = 'lightgreen')\n",
    "plt.title('Distribution of diff Traffic',fontsize = 30)\n",
    "plt.xlabel('TrafficType Codes', fontsize = 15)\n",
    "plt.ylabel('Count', fontsize = 15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "May     3364\n",
       "Nov     2998\n",
       "Mar     1907\n",
       "Dec     1727\n",
       "Oct      549\n",
       "Sep      448\n",
       "Aug      433\n",
       "Jul      432\n",
       "June     288\n",
       "Feb      184\n",
       "Name: Month, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking the months with most no.of customers visiting the online shopping sites\n",
    "\n",
    "df['Month'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2    6601\n",
       "1    2585\n",
       "3    2555\n",
       "4     478\n",
       "8      79\n",
       "6      19\n",
       "7       7\n",
       "5       6\n",
       "Name: OperatingSystems, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking the no. of OSes each user is having\n",
    "\n",
    "df['OperatingSystems'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Creating a pie chart for different number of OS users have\n",
    "size = [6601,2585,2555,478,111]\n",
    "colors = ['Red','yellow','black','green','lightgreen']\n",
    "labels = '2','1','3','4','others'\n",
    "explode = [0, 0, 0, 0, 0]\n",
    "\n",
    "plt.subplot(1,2,1)\n",
    "plt.pie(size,colors = colors,labels = labels,explode= explode, shadow = True, autopct = '%.2f%%')\n",
    "plt.title('Operating System Users have',fontsize = 30)\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bi-Variate Analysis #"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1080 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# product related duration vs revenue\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (18, 15)\n",
    "\n",
    "plt.subplot(2, 2, 1)\n",
    "sns.boxplot(df['Revenue'], df['Informational_Duration'], palette = 'rainbow')\n",
    "plt.title('Info. duration vs Revenue', fontsize = 30)\n",
    "plt.xlabel('Info. duration', fontsize = 15)\n",
    "plt.ylabel('Revenue', fontsize = 15)\n",
    "\n",
    "# product related duration vs revenue\n",
    "\n",
    "plt.subplot(2, 2, 2)\n",
    "sns.boxplot(df['Revenue'], df['Administrative_Duration'], palette = 'pastel')\n",
    "plt.title('Admn. duration vs Revenue', fontsize = 30)\n",
    "plt.xlabel('Admn. duration', fontsize = 15)\n",
    "plt.ylabel('Revenue', fontsize = 15)\n",
    "\n",
    "# product related duration vs revenue\n",
    "\n",
    "plt.subplot(2, 2, 3)\n",
    "sns.boxplot(df['Revenue'], df['ProductRelated_Duration'], palette = 'dark')\n",
    "plt.title('Product Related duration vs Revenue', fontsize = 30)\n",
    "plt.xlabel('Product Related duration', fontsize = 15)\n",
    "plt.ylabel('Revenue', fontsize = 15)\n",
    "\n",
    "# exit rate vs revenue\n",
    "\n",
    "plt.subplot(2, 2, 4)\n",
    "sns.boxplot(df['Revenue'], df['ExitRates'], palette = 'spring')\n",
    "plt.title('ExitRates vs Revenue', fontsize = 30)\n",
    "plt.xlabel('ExitRates', fontsize = 15)\n",
    "plt.ylabel('Revenue', fontsize = 15)\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PTiwfVeY9lCxLy2RFqX3wdaXKAZcllqcmU8vEui75eskDZcp2JrRYcODNVfiOk5/P6IJlnQgn5KcRTvBy5Z6pwm+rN/nEzuVt+e7a47Ojeb21aD2jCu//uMTr/F+Jcmcnyh1bsOzoxLKiFx6qFO/K/5Ei3+XuhFbUyf+l/UpsL3eRZhElkjWx7C8T2xxZsGwo+Ys495XYRrIu/+eU5cmuw8eUiWefRNkfpixP7ieKnq8Q6hi5feIbRcpUJVlBlc+hOvpDA2x+gpjZoQWPk8zsMsIJc64byFTCyV1bPJV4ntYc7pDE84vdvanEtv5Q5rX2J/TtB/iDuy8rU/76+Lcv4YpIM+4+k9C8G8KO9rAi2zkp8fyqMq9ZidxntlVbBmaqsmPJN1W9oFRBD83Abo2Tw80s2Y1oYeJ5sglgtd1EqIxA8+4JK5lZA6HJHYTKVeHt82oVa1JPKxgYjFBZf5DQDBDCwfabXqQ7koW71uQGxPynh7uIlJJsmthscFQPdwN6MU4eUGyQKZp/xmlNHXNNKt909/+Uied28rdyLTdY65+8SJNmd/+QcBUGwpWi9nQo+Vsx/r5YTDGuFeQH7l2HfJcokXqxlNDUv9jAbAcQWukBXOPuH5TY1p/J7y8Oid2xauHFYvvg6KHE82b7nxhjrsvCPML4Dq11FKFLHYSWjkXFOtCNcXITMxvahtcr9LOC49Qy4F1Cy7E1Y5nXgS+s6gu5+zzyt2lva3eKpGp9drWqI/ybkKyB5l2oCuWWzSck9ZOyqM+QUp+ZS+jyc1Ci2Pfc/d4i6/cndAEC+Je7v1PmJUvVZ94lXOwE+JyZrVNkGyW7tJKvz0wmdEMqyt3/S757S7n6zJ+Lna+4+xzghTi5STsPgFrVc6iOTmNWfLKU6xv+GnCkF7kNp5mtTejftzfhwLwm+b5chdZPmZccn+DhMrGUW568c0EfMyvs41ho3cTzzcnvzJKuIp+kOImCE7I4AnFu+WISfQWLMbPPEw6aOxA+k96kj8XRGGN8u9w221HyM12vgs+0d+L5ZkDud/MCoVnsmsD/i/1GryBc+fZqBevus83sbkJFaXsz29zdXysoNor8b/HGlB3yI4QKWGfg/Pgbvy6ewGflaeArnuiLmSL5XTVV8F0lExCbpyy/jjDQbFdCH/G/JRdaGKU+V/EY7+7jC5avT7iiAfBhBfFAqND0LhJP0jNllk8hdPXpZmbd3H1xBa/dFsnPvF8F73Fg4vnmhJYWIquLtBPUXoRjwdGE/clfCGPhHOzuCwvKJiu8/y31Qu6+0MyeIFSwexHqHy+XWqdKKtn35PQrWLYNocUcwMPxZLy1kvucgRXsc5IxbE5ILLQXJ1x9vriSfW6sBxxFuGi1LaFVXC/Sk1lp9cfWqtZnN4FwEW894OTYz/9vwJhSCevWir/xfxNOkjeN4zE8lyxjZiPJj+/yr5T/qScILRO6ExJN/QiJwPFk50XgSx5uZ1zMruR/B0sr+K66Jp4Xq8/sRqhXH0PoDrRSHFPn8Dj5trs/XbB8TfLJng8ICdIyITGXcMyvRn0GwuexBgXjsFRRe5xDdVhKVnyyLSBkA18kJDJudvclaQXN7FhCxaN32vIUabfgyt2u0AnjPhTl7jPNbD7hYJZmaOJ5yVYAKQorFTn3EJpsrwvsYWaD3T05aNRRhL6VEA4Uc4q9gIXbT91K6+4vX/K2ZTUwNPG8ZCY5xcrP1N0Xm9m3CJnYToSByL4JzDKzpwg7uXvd/aVVCxcIGfFcpfl4wkBnSSWz5+4+1czOJFx56QqcCZxpZh8Qmr09Dtzt1R3oaDH51h4QmuNtSKikfIowkNHXCU2oixmaeP6t+KhU2u//H4QWVbkBvv5WsPwIIHeL2bSrEMl4dqP5gbAt8SSVO1gn91ndCJ9vexiaeH5JK9ct9x5FPlHcvfCq7kpmdi4h+X8s8DlCN7SvFhRLVn7frOAl3yQkK3Lr1iJZ0dp9T1LyhLswiV6poYnnV7dy3Wrsc24kXxcwQoJhR8LV/a6E7jkPkb8anCoOrH4rUPIWtAnVqAsNTTy/upXrJuszTWb2DUL8XYCvxMfHZvY0oT5zn7u3uIVoG1xL/or+8YQukEnl6jOzzOy7hPE5OhHqEN8zs+mEVryPE8a5aOvvsZhk4rI74bM/jnDCPxw4zcxOKZHcGZp4fhLNWzCXk/Y7v4mwz+lK+Mx+X7D8YPK/sbRWooPJJ09GUP5Cb7l4klZln1JNQxPPq3UO1WGpG8gniLtbwaOXu2/o7oe7+3UlEhV7EHaMuUTF88CvCWMGHE3YUX2BfKYS0lsP5E70l1SYkS51d4yy92ouoUvazNgtJXcAaKD5SMFQYReQmHm/g3yiYk7c7vcJO87DyX9mtydWrVXT1mKq9pm6+02EEc7vIgxOBaGlxYGEwXrGWbi3+B6r8JrE7c+Kz49N3gu6IHs+0d1TM9rufiGh6V5uDAgITfcPBy4C3jSzh82sWqNnN7n7bYnHP9z9PEK2+spY5rtm9uMS26jq7z82wc6N2L+btbxveK6SlOze0G7xFKjFqPaVaM/3KLLa8HD3m2+Rv6vYSWa2QUGx5IWPSu6ElRzVv9KLJqtqVfY9yRPuUnckKCXrfc7riePUv939L+5+MmFwzZmE5MV9ZrZesQ3Eq9QPkE9UvE84mT6dkMw6jHx9KNeisRrnFtWsz9xJaAl0G6ElJoTWivsDvwDGmtnLZrYfq+ZBQisOgKPNbOUF4fg8161oKs27ICVj/Sth8O0Hyf9+BxK6Mf4OeNXMnoytNKqioD7zT3f/FaG1459ikW8A55XYRLXrMx+T79a9vZkVtnYo16VV9ZnSPnH1GbWsqA/nkD94nOzuV6YVMrNyP/5chaRrvAVZuX/aniWWJQ/+61fQZ79SVxGaNkK4RecvAMxsI0JTNQi3v0o9UET7E07UAZ4F9nf32WkFzWzftPntpFwFIPeZznf3Va4MxiaMB8bfxa6Ez2R3QsuBRkLG/QEzO7zUVboyr7HUzG4itNwYGl8n18c4mT0veWtTd78fuD+OvZGLcRSwPSHDPgp42sxGufuzbYm1HHdfEVuk7ES4InGOmd1ZpAln8vd/qLvfnlKmta4lf/u844h9rM1sEPnE24PuPjVl3WQ8F7n7d6sQTxZK/Y8k32O/WCESkRTuPjdeed6XsL/fk3DXhZxkt4hSx/qcZCvLtnSpyKnVRbbk7d+LtRAtJ7fPWQ509/TbpNecu79uZicTLrb0J7TEO6BI8dPId4m7BvhqsfdhZoUtI1dFVT+72BL0CxZut/sZ8vWZTxO6kW5FuA39Ce5+ffEtlXyNFWb2D8KFrYGELte5cbb2If85Xl9mzKRHgUdjC9/dCPWZzxJaxTTEmJ8ws33c/ZG2xFrBe/HYymMXQuuEH5nZ7UXqT8lj6/Ft/fwKXEv+YtXKVrfxM8kllZ5294ll4rnc3b9WhXiyUGl9pprnUB2SWlas5sysO2HHDGHE59RERTSkzOZyJzlGuPNEqdftT+kDfPIfq2oDCcVxAnJX4Dcxs9x7P4l8s7BryiRa9ko8/1GxREVU7jMrJ9kaply2s3+Z5bnPtFfKlfU2c/c57n6Xu//E3XcjdAf6S1zcQMsmeq2VzIwfX+R5RQc/d5/h7re6+/fdfQThd5prAtiN0KKo3cQrkj+Ik50oPthte/z+kwN8JT+748jv64vdQ7xd/h+rJPc/UvL/I/aprnSf096DeYqsDj5KPC+8+j4t8byS7gHJMoUJ02oeB6tlcuJ5uX7sxeT2OZ3Ij1XQIbj7HeQv2nzezPYqUjQ3fznwnTJJg1WtDyW1y2fn7vPc/V53P9vdRxG6JOXqMAZcuIoDwFZSnyl2HC6M9aPY2uFH7r4zoXtDrmVkZ1rf/L9VYmvlXHfWhhKv1x71h7vJ73+SrW6/SHjvsHrXZxoo3V2jI7/HqlOyYvXXn/z3XG7wx3KtBMYmnpdr/l9u+aOJ56s8EnWBZBePE+NOLtclxCnf/3HtxPOin5mZ9STfWqNN4oCRuUGWijbFjMqNsN2en+lK7j4dOIV8P96hcYDGtm7vSSA3evSRZtalIHv+lLu3aeBSd59EGF8iNz7JZ5JdTdqDu99Dvq/qvma2e0qxqn9XcbCuXGJmCzMbHp/nKkkLgX8VWXci+YPf7vHz7yhyLSDK/X+MpPidC6BG/x8iq5HkfqCwq8eYxPO9S20kXjTJHSvn03IMiGQrp1U9DlbLePKtK/aIV+Rbq6Pvc85JPP9FkTK5+tBHpVqjxePNgGLLo+RFonLH4VrVZz5y9++Rr98OpPKxOdK29xL58VgONbNecXD33N30Wgxw3YptTyG0GM7deWeH+L/VbjzcTSc3YP6ucdD5Qsnv6tBq1LFi3fimODmU/P4jV59J3gGmcN0PyI+jM7JUN6cM5P6HBia7CaXYltJjXnT0fUtVKVmx+kuONrxRsUKxqf/pZbaVbKp+Wsz8FfP/ymzrTvJjFXzZzDYrU741biCMqAwhC3sA+Yz/Y17+tkoVfWbAd6hO39vcrRs3tyK3aYo7/9PKbOd68uNL/LA9Tzjd3YFJiVmr2qUslyHvR/i+ktnzkl1AyoljueSuAjZQm/1e8jZ3o1Nieotw1xCAEWZ2ZJVeN/lZHR8HRts6Tv/b3Uv1vf57/NsVOLdK8VRD7v9jDTPbvkS5cvucf5FvefJNMyvZOkyknsWT810SswoTDHeRv0p4opkNpLhvke/Sd5u3vO35q4nne5aI6TOErn3tLsaYu2NYb+CsNmzmBsItYCGMY1TsNoyZcPfHyN9+fWSRE9FcfWhgmYTN2RW8ZPL4U67rUK0/u3cTz1e1PpM7DvcgnEgeFp8nl7VJbNmSbPVTi+78yfrMzwoXuvs04P44uTmtG2CzlML6zIbk90l3u/tHKevk5LqsNQK/rFI81ZDb13Ul3908TZbnUB2OkhWrufjPnLtzx85mdnBhmXgAuhkYVGZbz5DvYrEt8Pu0hIWZ/ZwyLQ483Abs53GyK3BP4kpwKjPbyczOL1Umbnsu+SvIfYDLEouLDqyZkBzB+RxLuVeymR1Fyk67jXL3rm4gDF5Z+FpGaH5XaseGu78JXB4n1yN8pkW7g5hZg5ntZ2Y/KJh/iJmdUqpiYmZbEvp7QmiqN7lY2QoVNp3MZc+Xks+up8XxFTM7Pg7GWazMnsCmcfKVlIpye7iNfOV+jyKtK84if6XpSjMrmR03s43M7E9lrqQ8SD4xcwzhKkxOuaanvyN/r/FTzOycUpl/M+tnZj8ws12KlamS5L3df5UWk5l9j3DHk6LivjDXDagXcG/8HRdlZrvG/ZlI3YjHvEvJJxim0vxKHh5ukZ7rVtoXuMnCLZILt/U58oPzLSe9Kfkz5K84Hm1mO6RsZyMqbD5fRb8mf4L9IzM7vdhVYzPra2bN7h7m7u+TH6RwLcJglhsXezELPlflsR/KKXkiSr4+ZKQMshhjPpcwAGQ5ybvIlUw6VeuzM7N94/dWdEy2uN1c66D5rPot6P9B/tierM8UG+A6F8dxZvblUsd4M9uZMF4YwDvetlvqtkocEyx3t5RiSa2fkB+89M9mdkxKmZXMbIiZ/a7URTUPtyTNfRdHEu7iklNuX/An8vXSE83sgrS6fCKePmb2HVv1QePLSdZnzjOzFt1BLNy95qRSG2nPc6iOyMIFUumozGzlF+TubWpaZWGQnAvjZBPhCvwThJ3y1sCXCXdP+DvwpVjuQXdv0YcxXql9lnB7Iwg7sOsJTcjXIdxdZJe4/Y3jvLfcPbXPoZldR+hTD2FHfg+hH+UUwsFxQIxxL8L4A2+4e9kMYqwgPVAwez6wjruXHLk8VrjeJt839k1CpexdwkHzIEIXhTmEClwuAbSju48t2NZW5JsEXuLuLVpHWBgA8XXy/e0fJlxV+JjQ/O1YQnLoBsLnC3CXux+Ysq1uhBPWXGJjCaFrwBOEE9EuhO9kO8LBeW3gdnc/NLGN0wg7+sWE7+LZ+N4XEb6PnQknhrnfwJnuvspjQZjZM4QmvsvIt6q4zd2LnsSb2QXAGYQB2/5LaMo5mZDkWJvQHekg8lcfjnb31KaDZWLrRX5QuAXuXnbANTM7kXyXo4fdvcUVw4L/TQgM4qwIAAAgAElEQVSf9Z2ESt1Swh1YNickhnIHot6lWkgkPhPiNroAHwKDyiVq4pXL/5K/CjSJkMh8hfD/04fQ2mgnwoBfnYGD4mjrye3cRr7Za8nBLMuVjUmz18k3Dx9L+Fynx3lHEsbluZuQJO0DvOTuLe7+EpOrt5KvWDcRrhA/TDghayT8xrch/H8MBp6P45+IfKIl6xOkNx3uCWxGOM7kTgxXAEe4e4vb/8X/zbHkxxSYQjhWvkrYh+xFaCWXu6jxE3dPvcoZT3j/L07OJ4yLNJZQEd+FUDcxwhXc3DF3j8IBBs1sFPlm6+e4++i016u0bLww8c/EexgP3AJMJHQrHRTj259w+/iTCtbvTKjXfC7OWkZopfoYoTl/Z8KxalvCPmc9itS/KmFmo8knHUq+/1jegJfIt8A70N3vSizfjvA95MZxeIxwMegDYANC/WQ44TtfBOwA6fVVC2OZTSW85/mEMZ3Gk2+hM8vdxyTKr/JnZ2YnES5SLSV8188Sup0uJNTxdqT5be3Pc/fc77DNzOyBGHfumNsIPODuRbtMJb67BYTf+XOEu68sIXRP2Y1w7Mqd4H7V3a9oY3ytOrcws8MJv3uA59y9xd1IzOzrhP/b3PZeINxZ7+34HvoS6jO7Ej53gHVjt41irzua/O85V5/5mFCXT70DYmLdHQjfee7C22RCfWY84ffXi3Db+ZGEumIX4Bh3v6FgO8nzlA3cvejFuXJlYx39VfLj/o0HriBcZFqH0ApnFPAI4bNaG3jb3VMTde11DtXhuLseHfhBOBg6seV9G7fRQDjR9RKPWwn/uLnpB0psby/CzqLYtsYRDuAfxOnnS2zLCDuixWXiKxtXynbfLVj3ilZ8ZqMI/VWLxTGD0Fz1gsS8ESnb2Sqx/OISr3c4YUdc7PVuJpy45qbvLLGtboTRvZsq/EwvKVj/lArXayJclbEq/dZPTXmNw8qs85sKY10MfHsVYkv+b8yvcJ1OhJP93HqfLVLuaELrlErexwdAtzKvu23Kehe24r1uSziYVhLPQuDTKdu4LVGmb5nXK1uWkKyZVyKOhwi38srtl8aVeL3G+Lst9f+WfNxWjd+3Hnpk/ajw9558fAQcVWabaxO6tJXazjLgrDLb6UpIlBbbxhzCrbNHJ+aNStnOqMTy0WVes6Ky8XVnVPB5XVlk/S6ECwDLK/zcr1mF73h0Je+pYJ1jE+uMSVn+LUrXJ14lJLceyc0r8Vq/LLGdR6r92RGSXJWst4Jwq/OGKv2vnZjyGl8qs87ZFca6lDD4e1X2BRWWbyBcNMitd0CRcocQLiRU8j5mEC5QlHrdjVPWu6wV73NzwjlJJfEsBvZK2cZ1iTLrl3m9smUJyZHZJeJ4kpBImxynJ5Z4vXY5h+poj8wD0KPMF9TKHUqZbR1HyDLOJmQ53ydkPY+IyztV+oMmjKB8AfAG4YRlFmHAre8Rrrg3xNdw4P4KYlsv7qhzGfOlcbvvESow5wAjW/l+zyn4J921lesPI2SJ34nvZVbc6Z0HrBfLVCVZkSh7LflM+ofxvR8VlydPmIsmKxLb25xwMj+GcFBYRr6J438It3jdPGU9I1wp+X4s9zYh07+ccDL4PGH07K2q/FvvT/MTyNlA1zLrdCK0Ivlp/KwmEa7uLCNUtJ+O39fQVYyt1cmKuN63E+s9XGb73yZc5X8/vocl8X/hcULri32BThW+7viC3/72rXy/DYTWM9cRriDOjZ/pLMLVkisJ+5M+RdavarIi8f/4V0KrkyXATML+4mRiBZMKkhWJ7Q0mjM3xRPxfy+1zJhGaap4N7FDN37geemT5KNgnpD0WEirI9xDGsFqzwu0a4er0v+L+azEhufBKPFZsUuF2OhFuY/1kXH8R8BbwB2BYLDM6Ee+olG2MSiwfXeb1WlO2N/BdQovNZB1lIuFiwklAzzLb2JiQKH2GcEK3jHBsfYew7z8L2HoVv+PRlb6nxDqNhON8br0WJ6KEFpU3Ea4AL437zCfjZ9Ijlnkkt40yr3d0/I1NI19PdFKSFav62cXf5jYxztvi72k++frMi4RkyPAq/6/1ivHl3tsCoFcF38NO8b3cQzjWLSR/7H2W0FV44yrE1+pzC0Ir7Nx6LZJaiXI9CAmuOwh1+IXk67RPEv6fDwA6V/i6T9F8P7V7K9+rEZIo1xBaSs+J3//s+P1fTUhqFbtYUtVkRSy3PnAxYf+xmFBffTJ+bp1imbLJisT2qn4O1ZEe6gYi7SL2nXohTl7o7meUKi8iIiIiIiKSowE2pb0kx2Z4OLMoRERERERE5BNHyQppNTPb3UrcttTM/h/5UXvfIzRnExEREREREamIuoFIq5nZu4S+dfcQxnCYQRiVeWPCCOO5Ufgd+Ly735uyGREREREREZFUSlZIq8VkxZAyxRYCJ3vBLYBEREREREREylntkhX9+/f3oUOHZh3Gam3BggXMmTOHefPmsXTpUpYvX46709jYSLdu3ejduzcDBgygc+fOWYcqIiIJzz///Ex3H5B1HPVA9REREZF0ldZHOtUimFoaOnQoY8eOzToMERGRDsfMJmUdQ71QfURERCRdpfURDbApIiIiIiIiIh2KkhUiIiIiIiIi0qEoWSEiIiIiIiIiHYqSFSIiIiIiIiLSoShZISIiIiIiIiIdipIVIiIiIiIiItKhKFkhIiIiIiIiIh2KkhUiIiIiIiIi0qEoWSEiIiIiIiIiHYqSFSIiIiIiIiLSoShZISIiIiIiIiIdipIVIiIiIiIiItKhKFkhIiIiIiIiIh2KkhUiIiIiIiIi0qEoWSEiIsU1LYGPnoWls7KORERERETqSKesAxARkQ5q9gvw2D6w9CNo6AIjroQhx2UdlYiIiIjUAbWsEBGRdGNOCokKgBVLYexXw18RERERkXamZIWIiKSb/0bz6RWLYdHUbGIRERERkbqiZIWIiKTrvEbBDIMua2YSioiIiIjUFyUrREQk3da/aj495ETo3CebWERERESkrmiATRERSTfsZOi9KXxwH/TdFgYdlnVEIiIiIlInlKwQEZHi+u8aHiIiIiIiNaRuICIiIiIiIiLSoShZISIiInXBzPYzszfMbKKZnZmy/Htm9qqZjTezB81sSGLZiWb2VnycWNvIJQtnDD135UNEstU06V0WXX8tTdOmZR2K1JCSFSIiIrLaM7NG4BJgf2AL4Bgz26Kg2IvACHffBrgF+E1cd03gZ8BOwEjgZ2bWr1axS+0VJiiUsBDJzsI//oEFo89m2QP3s+DHP2LR1VdmHZLUSE2TFWbWzczGmNlLZjbBzM6J8682s/+Z2bj42C7ONzP7Y7wCMt7Mtq9lvCIiIrLaGAlMdPd33H0pcANwSLKAuz/s7gvj5DPA+vH5vsD97j7L3WcD9wP71ShuqTElJkQ6luUvPt9setmjj2QTiNRcrQfYXALs6e7zzawz8ISZ3ROX/cDdbykovz+wSXzsBFwa/4qIiIi0xiDg/cT0ZErXKU4GcnWUtHUHFa5gZl8Hvg4wePDgVYlVRESApkWLsg5BMlTTlhUezI+TnePDS6xyCPD3uN4zQF8zW7e94xQREZHVjqXMS62DmNnxwAjgt61Z190vc/cR7j5iwIABbQ5URESCxu7doUuX5jN79swmGKm5mo9ZYWaNZjYOmE5oUvlsXPSL2NXj92bWNc6r+EqGmY01s7EzZsxo1/hFRETkE2kysEFien1gamEhM9sL+AlwsLsvac26snr43btnVzRPRGqj5y/PhzXXhMZGbODa9Dz/t+VXktVCrbuB4O5NwHZm1hf4t5ltBZwFfAB0AS4DfgScSyuuZMT1GDFiRKmWGiIiIlKfngM2MbNhwBTgaODYZAEzGw78FdjP3acnFt0H/DIxqOY+hLqLrKaUnBDpOBrX6k+f312UdRiSgczuBuLuHwOPECoE02JXjyXAVYRBsEBXMkRERKQK3H05cBoh8fAacJO7TzCzc83s4Fjst0Av4OY44Pcdcd1ZwM8JCY/ngHPjPBEREWknNW1ZYWYDgGXu/rGZdQf2An5tZuu6+zQzM+BQ4JW4yh3AaWZ2A2EQrDnurpvrioiISKu5+93A3QXzzk4836vEulcCul+eiIhIjdS6G8i6wDXxXucNhKsad5rZQzGRYcA44Jux/N3A54GJwELgyzWOV0RERERERERqrKbJCncfDwxPmb9nkfIOnNrecYmIiIiIiIhIx5HZmBUiIiIiIiIiImmUrBARERERERGRDkXJChERERERERHpUJSsEBEREREREZEORckKEREREREREelQlKwQERERERERkQ5FyQoRERERERER6VCUrBARERERERGRDkXJChERERERERHpUJSsEBEREREREZEORckKEREREREREelQlKwQERERERERkQ5FyQoRERERERER6VCUrBARERERERGRDkXJChERERERERHpUJSsEBEREREREZEORckKEREREZECc6fP54M3p2cdhohI3eqUdQAiIiIiIh3JvRc+zIOXPMGKJmeDbdbjq1cfS681e2QdlohIXVHLChERERGRaMY7H3H/Hx9nRZMD8P74qTx2+dMZRyUiUn+UrBARERERiT56b3aLeTMntZwnIiLtS8kKEREREZFo2MjB9FqreZePbfbfPKNoRETql8asEBERERGJuvbowrf++SXu/+PjzJs5nxGHb8t2B26ZdVgiInVHyQoRERERkYSHL3uKcXdOAOCDN2cw8sjtMo5IRKT+qBuIiIiIiEg06aUpjL1l/MrpBbMW8vPP/CHDiERE6pOSFSIiIiIi0c1n/qfFvI+nzMkgEhGR+qZkhYiIiIhItMkuw1rMa+ysKrOISK1pzysiIiIiEh1y9r506trYbN5xFx2WUTQiIvVLyQoRERERkYTTb/sqg7Zcm14DenDkrw5k2wO2yDokEZG6o7uBiIiIiIhESxYu5S/HXcuCWQsBuPmsO+naswvDD94q48hEROqLWlaIiIiIiET/G/PeykRFzsv3vZ5RNCIi9UvJChERERGRaK0h/VrM6z90zQwiERGpb0pWiIiIiIhE/Qb1pXufbs3mDdpinYyiERGpX0pWiIiIiIhE74yZxKK5i5vNUzcQEZHaU7JCRERERCTqtVbPFvN69285T0RE2peSFSIiIiIi0Xqbr83ILw5fOd1v0Brs/tWdM4xIRKQ+6dalIiIiIiIJX/z1Qex24o7Mm7mAjXYeSqcujVmHJCJSd5SsEBEREREpsJ4G1RQRyZS6gYiIiIiIiIhIh6JkhYiIiIiIiIh0KDVNVphZNzMbY2YvmdkEMzsnzh9mZs+a2VtmdqOZdYnzu8bpiXH50FrGKyIiIiIiIiK1V+uWFUuAPd19W2A7YD8z2xn4NfB7d98EmA2cHMufDMx2942B38dyIiIiIiIiIrIaq2mywoP5cbJzfDiwJ3BLnH8NcGh8fkicJi7/nJlZjcIVERERERERkQzUfMwKM2s0s3HAdOB+4G3gY3dfHotMBgbF54OA9wHi8jnAWinb/LqZjTWzsTNmzGjvtyAiIiIiIiIi7ajmyQp3b3L37YD1gZHA5mnF4t+0VhTeYob7Ze4+wt1HDBgwoHrBioiIiEhdeveF93n6H89nHYaISN3qlNULu/vHZvYIsDPQ18w6xdYT6wNTY7HJwAbAZDPrBKwBzMoiXhERERGpD2dvfwELZi0E4JYf38WpN53EhiMHZxyViEh9qfXdQAaYWd/4vDuwF/Aa8DBwRCx2InB7fH5HnCYuf8jdW7SsEBERERGphkeveGZloiLn8q/8I6NoRETqV61bVqwLXGNmjYREyU3ufqeZvQrcYGbnAS8CV8TyVwDXmtlEQouKo2scr4iIiIjUkQkPvNFi3tKFyzKIRESkvtU0WeHu44HhKfPfIYxfUTh/MXBkDUITEREREeGgn+zNRQde3mzegA3XzCgaEZH6VfMBNkVEREREOqoNtlqPHv26N5v3pUuOKFJaRETai5IVIiIiIiLRhAfeYOHsRc3m3fjD/2QUjYhI/VKyQkREilsyAybfCvPezDoSEZGamPbG9Bbz5s2Yn0EkIiL1TckKERFJN/0huGsIPH0E3LsZvPn7rCMSEWl3nz52B6zBms3b/pCtM4pGRKR+KVkhIiLpXvk/aMo1hXaYcHZiWkRk9dSjXw8GbbXOyunGzo2MOHybDCMSEalPSlaIiEi6pR81n16+AJoWZxOLiEiNvDduCpPHT1s53bSsicevGpNhRCIi9UnJChERSTfs5ObTgw6DLv2yiUVEpEaWLV6WMm95BpGIiNS3TlkHICIiHdSmP4Bu68GH98Ea28DGp2YdkYhIuxs2cghm4J6fN2DYmtkFJCJSp9SyQkREihtyHIz8O2z6fWjsnnU0IiLt7uG/PNksUQHw2BXPZBOMiEgdU7JCRERERCT66P3ZLeYtW6JuICIitaZkhYiIiIhIdNCZe7WYN/zgrTKIRESkvilZISIiIiISdV+jO9+87gT6rN2Lrr268OnjduCo8w/KOiwRkbqjATZFRERERBI22XUYP3v2e1mHISJS19SyQkRERESkwKwpc5j47KSswxARqVtqWSEiIiIiknDBfn9h2uvTAWjs1MD3//tNBm7YP+OoRETqi1pWiIiIiIhE4+6csDJRAdC0fAWXfen6DCMSEalPSlaIiIiIiEQTHnijxbx5MxZkEImISH1TskJEREREJNrzW7u2mLf+1utkEImISH1TskJEREpbOht8RdZRiIjUxLqbDmSPb36ahsYGMBi40Vp8+5avZB2WiEjd0QCbIiKSbsEkePpImP0c9BgMO14DA0dlHZWISLs78My9OPDMvbIOQ0SkrqllhYiIpBv3nZCoAFj4How5Abwp25hEREREpC4oWSEiIuk+Htd8etFkWPJRNrGIiIiISF1RskJERNKtXdAEeo1toNvAbGIRWUVmtp+ZvWFmE83szJTlu5vZC2a23MyOKFjWZGbj4uOO2kUtWXry+ue48hv/zDoMEZG6pTErREQk3bYXAg4f3AtrbAvD/5B1RCJtYmaNwCXA3sBk4Dkzu8PdX00Uew84Cfh+yiYWuft27R6odBhnDD232fPPfmNnDj5rnwwjEhGpP0pWiIhIus69YcTlWUchUg0jgYnu/g6Amd0AHAKsTFa4+7txmW59U+fO27VlYvbRvz6jZIWISI2pG4iIiIis7gYB7yemJ8d5lepmZmPN7BkzO7RYITP7eiw3dsaMGW2NVTI2e/KcrEMQERGUrBAREZHVn6XM81asP9jdRwDHAheZ2UZphdz9Mncf4e4jBgwY0JY4pQPY7pAtsw5BRERQskJEREpZNg8+fAAWTc06EpFVMRnYIDG9PlDxj9rdp8a/7wCPAMOrGZx0LCf84fAWNeSzXzo9m2BEROqYkhUiIpJu5lNw1wbw2N5w1xB4529ZRyTSVs8Bm5jZMDPrAhwNVHRXDzPrZ2Zd4/P+wGdIjHUhq6dv3/xl1t18bfqu14d9v/NZ1lhjjaxDEhGpO0pWiIhIupfPgmWx77Yvh/E/gKYl2cYk0gbuvhw4DbgPeA24yd0nmNm5ZnYwgJntaGaTgSOBv5rZhLj65sBYM3sJeBg4v+AuIrKaWTxvMZccdTXTXvuQj6fO5b6LHuW/f3g067BEROqO7gYiIiLpFk9rPr1sDjQtgMau2cQjsgrc/W7g7oJ5ZyeeP0foHlK43lPA1u0eoHQYT147lhVNzYc0GXPTOPY5/bMZRSQiUp/UskJERNKtsU3z6R5DocuamYQiIlIrA4a13M/16Ns9g0hEROqbkhUiIpJu/sTm04umhAE3RURWY9vsvwVrb9x/5XRDpwaO/NWBGUYkIlKf1A1ERETSubectrQ7QIqIrF5++MApvPLf15k5aRafPm4EXXp0yTokEZG6o2SFiIik670pzB2fn+6xPnTqlV08IiI1MvPdj7j9vPtZPHcRK5qcPb/5maxDEhGpO0pWiIhIuhkPNp9e+C4snaVxK0RktbZ8+XJ+NeqSldN3nf8gsybP4YjzPp9hVCIi9UdjVoiISLrlCyubJyKyGrn+9NtazHv2hhcyiEREpL4pWSEiIun6bNF8urEHdBuYTSwiIjXS2NiyeqzhekREaq+myQoz28DMHjaz18xsgpmdHuePNrMpZjYuPj6fWOcsM5toZm+Y2b61jFdEpK6N+Bt0jcmJhq5hukGDzInI6u3oCw9uMW/XE3fMIBIRkfpW6zErlgNnuPsLZtYbeN7M7o/Lfu/uFyQLm9kWwNHAlsB6wANm9il3b6pp1CIi9ajf9nDg+/DxOOi1CXTpl3VEIiLtrlOnTow8Zjhj/vkiAD3X6sEBZ+2VcVQiIvWnpi0r3H2au78Qn88DXgMGlVjlEOAGd1/i7v8DJgIj2z9SEREBQkuKNUcqUSEidWPaG9NXJioAFny0kD9/8ZoMIxIRqU+ZjVlhZkOB4cCzcdZpZjbezK40s1yteBDwfmK1yaQkN8zs62Y21szGzpgxox2jlpqY/BqMuQ0WfJx1JCIiIlJnHvrzEy3mTX75gwwiERGpb5kkK8ysF3Ar8B13nwtcCmwEbAdMA36XK5qyureY4X6Zu49w9xEDBgxop6ilJm75OXxvC7jgC3DKEHjr2fLriIiIiFTJVvtt1mJez37dM4hERKS+1TxZYWadCYmK6939XwDu/qG7N7n7CuBv5Lt6TAY2SKy+PjC1lvFKDc2fDf86Lz+9aC7cck528YiIiEjdWXP9vi3mbbTLkAwiERGpb7W+G4gBVwCvufuFifnrJop9AXglPr8DONrMuprZMGATYEyt4pUaWzwPli9tPm/uzGxiERERkbq0ZN6SFvPMMus5LSJSt2p9N5DPACcAL5vZuDjvx8AxZrYdoYvHu8A3ANx9gpndBLxKuJPIqboTyGqs/2DY+nPw8oP5eXt8Jbt4REREpO4MGzmEtTcZwIdvhXHQGhqNnb44POOoRETqT02TFe7+BOnjUNxdYp1fAL9ot6CkY/n+v+GeP8KU12HEwbDLkVlHJCIiInWksVMDp950Ik9dN5Z5Mxeww6FbM2T4+lmHJSJSd2rdskKktO694bCfZB2FiIiI1LGe/Xqw97d3zzoMEZG6pg54IiKSbtlceO4r8J/14LH9YN5bWUckIiIiInVCyQoREUn30hnw7lWweBp8eB88fXjWEYmI1MzEMRN54NLHsg5DRKRuqRuIiIik+/CB5tNzXobF06HbwGziERGpkTOGnrvy+T2/foT9fzSKvb6lbiEiIrWklhUiIpKuX8Ho9903gK5rZROLiEiNnLPLhS3m3fPrR2ofiIhInVOyQkRE0m13Eay5U3jeYyjsdB1YY6YhiYi0t7nT5mcdgoiIoG4gIiJSTI/B8LlnYNkc6NQHLO3O0yIiq5ch26/HpBemZh2GiEjdU8sKEREprfMaSlSISN045YYvt5h32OjPZxCJiEh9U7JCRERERCR6Z8ykFvP+9+J7GUQiIlLflKwQEREREYl6rdWzxbzeKfNERKR9KVkhIiIiIhKtt/najDxqu5XT/Qatwe5f3TnDiERE6pMG2BQRERERSfjibw5m1xNHMm/mfDbeeSiduqrKLCJSa9rzioiIiIgU6NW/J9ZgNHbRLZtFRLKgZIWIiBS3dBbMfBLW2Ap6Dss6GhGRmrj7tw/x0KVP4iucQVuuw9f/flzqWBYiItJ+NGaFiIikm/Eo3DkYnjwY7t4I3vpT1hGJiLS76W/P5MFLnsBXOABTJnzAo5c/k3FUIiL1R8kKERFJ9/JPoGlBnHB45SfQtDjTkERE2tusyR+3mDfz3VkZRCIiUt+UrBARkXRLZjSfXj4fmhZlE4uISI30H7pWi3kaYFNEpPaUrBARkXTDvtx8er2DoUu/bGIREamRKa9/2GLe/8a+l0EkIiL1TWliERFJt+mPoNs68MG9sMa2sMnpWUckItLuxt78Yot5H0+dm0EkIiL1TckKERFJZwZDTwoPEZE60a1XtxbzTG2RRURqTrteEREREZHouIu+0GLe7l/dJYNIRETqm5IV0rGsWAFj/wN3/Bben5B1NCL1bdkcGHMS3LEOPLYPzHsz64hERGpiw52HrHzeqWsje3zjMxlGIyJSn5SskI7lsm/Abw6G634IP9gWXrgr64hE6tdLZ8Cka2DJh/Dh/fDU4VlHJCLS7t544m3eeWbSyunlS5q4+LArMoxIRKQ+KVkhHcfHH8LDV+anVzTB7b/JLh6Revfhg82n574Ci6dnE4uISI08fuWzLebNnDQrg0hEROqbkhXSgXh8JGetyCQSEQH6bd98uvsG0HWtbGIREamRPgN7tZhnDaoyi4jUmva80nH0XQd2Oz4/bQ1w4Peyi0ek3g05gWaHiQ2OAmvMLBwRkVrY8YjtWsxbsVwXT0REak23LpWO5ZSrYPsDYerrsP0BsOEOWUckUr/G/wBIVNDf+iNs9Qto7JpZSCIi7e3iI67OOgQREUHJCuloGhrh00dlHYWIACyY1Hzal8GiKdBrw2ziEREREZG6oW4gIiKSruvA5tPWCN3WySYWEZEa+do/dNFERKQjULJCRETS7fDX5mNUbHYWdOqRXTwiIjWw2ac3Y+PdhuZnGPzu3bMzi0dEpF6pG4iIiKRb7wD4/P9g+kOwxjbQb3jWEYmI1MS3rv1S1iGIiNS9NiUrzKwfsBWwAXCPu882s27AUnfda1JEZLXRYwMYemLWUYgAqn+IiIjUk1YlK8ysEfgVcCrQHXBgR2A2cCswFvhZlWMUERGROqb6h9Tam0+8w12/fpB5Mxew4+HbsO/39qChwbIOS0SkrrR2zIpfAl8DTgM2BJJ77duBg6oUl4iIiEiO6h9SMws/XsRVX7uRyS9PY860uTxw8RM884/nsw5LRKTutDZZ8SXgTHe/Cni/YNnbhAqEiIiISDWp/iE1M+nFySxdtFg2jSsAACAASURBVKzZvOduGZdRNCIi9au1yYq+hEpBmi5AY5FlIiLySdO0CMZ9F+7dAp45GhYWniOK1IzqH1IzL975Sot5742bmkEkIiL1rbXJileAQ4os2x94YdXCERGRDmP8D+Gti2Dea/D+jfDU4VlHJPVL9Q+pmXeefS/rEEREhNbfDeQ84FYz6w7cTBjgajsz+wLwDeDgKscnIiJZmXZX8+nZz8Hi6dBtYDbxSD1T/UNq5gvn7MeVJ9/YbF6Xnl0yikZEpH61qmWFu98OHAvsBdxDGODqcuAk4AR3v6/U+ma2gZk9bGavmdkEMzs9zl/TzO43s7fi335xvpnZH81sopmNN7PtW/8WRUSkTfps0Xy62zrQZc1sYpG6tqr1D5HW6D+k5X7u08fvkEEkIiL1rbXdQHD3m9x9KLAZsCuwBTDY3W+qYPXlwBnuvjmwM3CqmW0BnAk86O6bAA/GaQhNOzeJj68Dl7Y2XhERaaNtL4Tem4fnXQfAiCugobUN8kSqYxXrHyIVmz1lTot5M9+ZlUEkIpKzYsYMlj03hhWz9b9YT9pc63T3N4E3W7nONGBafD7PzF4DBhH6oY6Kxa4BHgF+FOf/3d0deMbM+prZunE7IiLSnnp/CvadAAvfg+7rQoOaQUv22lL/EGmNRfOWtJg38dl3ax+IiACw9PHHWHzVFeAOjY10/9apdN5hRNZhSQ20KllhZr8pV8bdf1jhtoYCw4FngbVzCQh3n2ZmuQ7Rg2h+i7LJcV6zZIWZfZ3Q8oLBgwdX8vIiIlIJM+g5JOsopM5Vs/4hUs7T141tMW/x3JYJDBFpf+7OkptvDIkKgKYmltxys5IVdaK1LSuOTJnXD+gDzAFmA2UrC2bWC7gV+I67zzWzokVT5nmLGe6XAZcBjBgxosVyERER+USrSv1DpBIbjtyAt5+Z1GxeQ6dW95wWkWpwxxctaj5rwfyMgpFaa+0Am8NSHn2BXYD3gOPKbcPMOhMSFde7+7/i7A/NbN24fF1gepw/Gdggsfr6gG50LSIiUkeqUf8QqZRZy+pxt17qBieSBWtooPNndms2r/Nun80oGqm1qoyU5u7PmtlvgYuBosMlW2hCcQXwmrtfmFh0B3AicH78e3ti/mlmdgOwEzBH41WIiIgIVF7/EGmNgRuv1WJej749MohERAC6nfAlGtdfn6b/vUPjppvRedfdyq8kq4VqDuv+EbBpmTKfAU4AXjazcXHejwlJipvM7GTCFZJcc8+7gc8DE4GFwJerGK+IiIh88lVS/xCp2DqfWrvFvKEj1s8gEhEBsMZGuuy1d9ZhSAZaO8BmWlq5C7A5cC4wodT67v4E6eNQAHwupbwDp7YmRhEREVm9rGr9Q6Q1li5Y2mKeN2lINBGRWmtty4r5pAxwSUhATAEOXeWIRERERJpT/UNqZvmyphbzGho1wKaISK21NlnxFVpWFhYTBsIc4+7LqhKViIiISJ7qH1Izw3YczKAt12HKhA8AaOzcwC7HaUgUEZFaa1Wywt2vbqc4RERERFKp/iG1ZAadujbmpxsaaOzcWGINERFpD21u02ZmncysR+GjmsGJiIiIJKn+Ie3t3effZ9ILU1ZOL1+ynCevHZthRCIi9alVyQoz62NmF5vZVELzy3kpDxEREZGqUf1DaqkpZcyK2VPnZBCJiEh9a+2YFX8FDgQuB14FWg6XLCIiIlJdqn9IzSxfmjLAphW7mZ2IiLSX1iYr9gW+6+6Xt0cwIiIiIilU/5Ca6btunxbz1tl0QAaRiIjUt9aOWbGAMPK2iIiISK2o/iE1s86nBrLrSSNXTg/YcC1GfW2XDCMSEalPrU1W/A44xcx0s2kRERGpFdU/pKZ2PGJbNt5lKGtv0p9dT9yRPgN7Zx2SiEjdaW03kEHAtsAbZvYw8HHBcnf3H1UlMhEREZGgKvUPM9sP+APQCFzu7ucXLN8duAjYBjja3W9JLDsR+GmcPM//f3t3HmdXXd9//PWZmawsCUsISwgEBBRUECN1q0u11h1rRUEt1KpoK9al1B+2irhVsbXWBQVUBNrKYhVBS1UEUURAAiIQhBJCgBCykEBCtsks398f5wzcWcLMJDPne5Lzej4e85h7vvece9+TZHK/93O/S0rnbekPo3rrXLeJs97+n6x/dAMAl3ziJ0yZNoVnv+EZmZNJUrOMtljxJqC3vO5Ph7g/ARYrJEnSWNrq/kdEtANnlNcvBm6MiMtSSne0nHY/8FfAyQOu3RX4BDC3fK6bymsf2aKfRrW28Lf3PV6o6PPdD15isULKpHfFCjacew499y6k45CnMvmEd9A2fXruWKrAqIoVKaU54xVEklRDj94Ky66A6c+EmUO9R5TG3xj1P44CFqSUFgJExIXA0RS7i/Q9z6Lyvt4B1/4ZcEVKaVV5/xXAK4ELxiCXauZb7/CvVaqTDWd9g557FgDQfcvv2JgSUz/44cypVIXRjqyQJDXFA9+D64+l+EAbOPhkOPxfskaStsI+wAMtx4uBP9qKa/cZo1ySpM1I3d2PFyr6dN91Z6Y0qtqoF6qKiGdGxEURcU9EdEbEkWX7ZyPiVWMfUY2yagmc+W449Y/hsn+B3sF7nUuqyB2f5vFCBcDdX4butdniqNnGoP8RQ7SlkT79SK6NiBMjYl5EzFuxYsUIH1qStDnR0UHb7P36tbUfcECmNKraqIoVZWfgJmBP4HxgQsvdncD7xy6aGun018JV34I7fw3/+RH44eeHv0bS+Nhwf//j1GUBUVmMUf9jMbBvy/EsYMkII4zo2pTS2SmluSmluTNmzBjhQ6tuvrjo1NwRJLWY8u730DZ7NgDtBz6FKSf8deZEqspoR1Z8Djg3pfRi4LMD7rsFOGJMUqmZli2Ee3/Xv+2G7+fJIgliiJmCvRurzyGNTf/jRuCgiJgTEROBY4HLRvj8PwVeERG7RMQuwCvKNm2nvrjoVJ7+iX1p26e4bQFDyqd91ix2/ORn2Omb57DDx06lbY89ckdSRUZbrHgqcFF5e+DwxzXArludSM01bQ+YvGP/tj0c5iVls+eAkfU7HAST7CAoi63uf6SUuoGTKIoMfwAuTinNj4hPRcTrASLiORGxGDgGOCsi5pfXrgI+TVHwuBH4VN9im9p+vel1b+bk8/42dwxJpehwucWmGe3f+HJgc+8eD6PY8kvaMpN3hL/6d/j2SdC1EWbsD8cN/ABNUmUOPQ1WXA0bFkPHzvDML0AMNXVfGndj0v9IKV0OXD6g7dSW2zdSTPEY6tpzgHNG8jza9v3481dy9dm/IfUm9jxoBn978QnssMvU3LEkqVFGO7LiQuBTEfHClrYUEQdT7G/+X2OWTM30J++Es5bA6TfDVxfA3ofkTiQ1152fLQoVAN1rYP4/5c2jJrP/ocosW7CCX5x5Lam3GMSz9O4VXPrpn2VOJUnNM9qRFR8HDgV+CSwt2y6lWPDqZ8A/j100NdaOuxRfkvJa/ov+x2vugI3LYbJTQVQ5+x+qzPwr/m9Q28Ib7suQRJKabVTFipRSJ/DaiHgZ8DJgd2AVcGVK6YpxyCdJymXXubB+0RPHU/eDSbtni6Pmsv+hKs1+1j6D2mbMcVk2SaraFq1SklK6ErhyjLNIkurk8C/BxmXw8DWw40HwnO9AjHb2oDR27H+oCk957v7sNnsXVt7/CADRFrz6Iy/LnEqSmmdUxYqIWESxGveFKaXfDXO6JGlbNnUWvPRXsGkNTNw5dxo1mP0PVWnlA488XqgASL2JG79/C/s+c++MqSSpeUb7Edl/A28B5kXE/5XbfT19HHKpydaugoU3Q0937iRSs214CH75crh0Gvz0MFh5Q+5Eai77H6rMLZfdPrjtR/MzJJGkZhtVsSKldHJKaX/ghRRbf/018PuIuD0iPh4RB41DRjXJld+C9+wNpzwb/u4p8OCduRNJzXXLB2F5OeJ+zR1ww3GQevNmUiPZ/1CVujp7BrX1dPl/nyRVbYsmH6eUrkspfRDYF3gJcDXwfuAPY5ZMzbNxLZz7QejqLI5X3AcXuFWilM3yq/ofr7sXOlfkySJh/0PV2OewPQe1Td5pYoYkktRsW7tS2g7AbGA/YBrQudWJ1Fyrl0Pnuv5tK+7Nk0USpMGfLtI+tfoc0mD2PzRu7r3pgUFtj61YnyGJJDXbqIsVETElIt4cEd8HlgPfBhLFkMyZY5xPTTLzAJhzZP+25x6TJ4skmDxgMbnogIg8WdR49j9UlXvn3T+oradriOKtJGlcjXY3kIuA1wCTgKuA9wGXpJQeHYdsaqJTfgzfO61Yq2Lu6+E1H8qdSGquQ/8JbngbxftB4CknQceOWSOpmex/qEq77DOd+29+MHcMSWq8URUrKD65OBn475TSw+OQR023y15w4lm5U0gCmH0c7HQILPsZTHsm7Pmq3InUXPY/VJlZz9iT3w/Y/SPaHVUmSVUbVbEipfSSccohSaqjXY4svqSM7H+oSjd9/7ZBbaknZUgiSc22JWtW7BERp0fEleVe54eV7R+IiOeNfURJktR09j9UlSNed+igNkdWSFL1RlWsiIijgAXAXwCLgAMp5o8C7AX8/ViGkyRJsv+hKj3y4JpBbanXkRWSVLXRjqz4EsXCVgcD7wFay8y/BY4ao1ySJEl97H+oMssWrBjcaK1Ckio32gU2jwSOTin1Rgzav24lsMfYxJIkSXqc/Q9Vp83KhCTVwWhHVqwGZmzmvgOAZVsXR5JUK0t+DDe+E+45C3q7cqdRc9n/UGUW3bg4dwRJEqMvVlwKfDIiDmhpSxGxO8WWYj8Ys2SSpLx+fwpc+zpYdA7c/F74xYtyJ1Jz2f9QZXbcfWruCJIkRl+sOAVYA9wB/KpsOxO4C9gInDp20SRJWd39xf7Hq66HzpV5sqjp7H+oMnP//PDcESS16H1kFeu/+mUe+/AHWH/m1+ld+1juSKrIqNasSCk9EhHPBf4SeBmwDlgFfAs4P6XUOfYRJUlZpO7BbesWwqTdqs+iRrP/oSr937X35o4gqcWGs8+i584/ANB9w/Vs7Olh6vvenzmVqjDakRWklDallL6dUnprSukVKaVjU0rfBJ4fEf/7ZNdGxDkRsTwibm9pOy0iHoyIW8qvV7fc99GIWBARd0XEn402qyRpK8TEwW3Tnll9Domt639Io7Fk/tLcESSVUk/P44WKPt3zb9/M2drejKhYERHTI+LYiPiHiHhTRExoue+YiJgHXAnMGeahzgVeOUT7l1JKR5Rfl5ePeyhwLHBYec3XI6J9JHklSWNg8szBbd0OvVR1xrD/IY3YtL13zh1BUina22nbZ59+be2zZ2dKo6oNW6yIiGcAfwC+C5wOXAxcFxH7RcS1wEXAJOBtwKFP9lgppV9RDNsciaOBC1NKnSmle4EFuI+6JFVn37f0P979j2HS7nmyqHHGsv8hjcbTXvSUQW3RPnDHXElVmfLOd9O2R/EBSts+s5h8/F/lDaTKjGTNin+mWNTqDcDvgf2ArwI3UnQSjk8p/edW5jgpIo4H5gF/n1J6BNgHuL7lnMVl2yARcSJwIsBsK22SNDae8VlonwoPXQbTnw3P+OfcidQsVfQ/pEH2f/Ysrr/g5n5tU3aanCmNpPY5B7DD578A69YRO+6YO44qNJJpIHOBj6eUbkgpbUwp3QX8DbA7RWFhazsK3wAOBI4AHgL6lp8fqoSdhnqAlNLZKaW5KaW5M2Zsbht2SdKorF0ID1wAj94CSy6BVb/NnUjNMt79D2lIi+9dMqht/aMbMiSR1CciLFQ00EiKFTOBRQPa+o5/v7UBUkrLUko9KaVe4Js8MdVjMbBvy6mzgMGvHpKk8fH7D8Pau4vbm1bBvHdB7xA7hEjjY1z7H9Lm/PqMebkjSJIY+W4gQ45oALa61xoRe7Uc/jnQt7zrZcCxETEpIuYABwF+rCdJVXmk/zBoOpdB1yN5sqipxq3/IUmS6m0ka1YA/DQihuoYXDmwPaW0x+YeJCIuAF4C7B4Ri4FPAC+JiCMoOiSLgPeUjzM/Ii4G7qDolLwvpdQzwrySpK011M4f7TtUn0NNNib9D2k0/uidh3PDtx28I0m5jaRY8cmxerKU0nFDNH/7Sc7/LPDZsXp+SdIo9AwxR3vDQ7DTgdVnURONWf9DGo05h+7PDQNmGk2YPNLP9yRJY2XY/3lTSnYWJEmF9gm5E6gh7H8ol2u+c8Ogtq6NzjySpKqNdM0KSVLTxBD17I6dq88hSRXadd/pg9piqD3qJEnjymKF6mXDY/CDz8LXjofrvpc7jdRsMcRLRNfq6nNIUoVe8JfPGdS259NcEkWSquYEPNXLv74Rbvt5cftX/wFrz4Q/fU/eTFJTTT8CVrUMh+7YCabsky+PJFWgfWL7oLaH7lieIYkkNZsjK1QfD9//RKGiz1WbXX9V0ng78H39j/c9DtqscUvavp3xpnNzR5AkYbFCdTJ5J+iY2L9tp93yZJEEC7/R//iB7w69Q4gkSZI0xixWqD523AXe+LEnjqfsDMecli2O1HibVvU/7l4HPRvzZJGkiuw8e8fcESRJWKxQ3TzvGHjai2DaTHjhW2G/w3Mnkpprzrv6H+/zRpi4S54sklSROc/Yd3Cju4FIUuWcfKz66O2F018HSxcUx1ecWYyuePvpeXNJTXXIyTB5T3jgItjt+XDwh3InkqRxN/PgGfA/f+jX1jHEopuSpPHlyArVx/KFTxQq+vz+p3mySIJHb4XbPgoP/Rju/GdY8qPciSRp3K1+8LFBbd2bejIkkaRms1ih+th1FuwwYIj57GfkySIJbj0ZNiwubnevhZv/Fnq78maSpHG28Kb7Bzem6nNIUtNZrFB9TJxcLKjZPqE43nkP+ItTs0aSGm3tPf2PNz0MXavzZJGkirg8hSTVg8UK1UdvL/zPl6Cn/OR2zXK44htPfo2k8dM+YEX89qkwafc8WSSpIns+dY/cESRJuMCm6mTZPbBiUf+226/MEkUSsPau/sc962HDQzBlrzx5JKkCu+w9bVBb+wQX2JRySV2b2PTTn9CzcCHthxzCxJe/gmj3d7IJLFaoPnafDTvtDo89/ETbnCPz5ZGarnfTyNokaTvS29M7qC31Dm6TVI2N536Hrt9cC0D3724mrVzJ5Le+PXMqVcFpIKqPCZPg7/4Ldiv3Nz/spfDWz+fNJKm/jh1yJ5CkcbXkjmWD2np7XGFTyiH19NB1w/X92rqu+02mNKqaIytUL4e/As5YBJvWw+Qdhz1d0ngaonO+canrVkjarh1w1Gzuuf6+fm0TpkzIlEZquLY2mDQZ1q97vClNmZoxkKrkyArVT1ubhQqprgYuuilJ25krvnLNoLauDW7bLOUQEbBxQ//GR1blCaPKWayQJA0tJg1ua59cfQ5JktRIPRs2FDsGturuzhNGlbNYoXp56G74whvgg0+F//wIdHXmTiQ11+xj+x/vdAhM2TNPFkmS1DjtU6YMboyoPoiysFih+kgJPv2nMO9SWHIXXPYvcME/5k4lNdeB74X2ckHNaIcDT8qbR5Iq8Pzj5+aOIKnFhFf8Wb/jiX9xTKYkqpoLbKo+ltwFD/df0Ipfng/HfzFPHqnpbv849JQLWqUeuOM0OPA90OZCc5K2X+sf3TD8SZIqM+W4tzHxDW+kZ/5ttD/zCNonTswdSRVxZIXqo3uIxat6nJMmZbP27v7Hm1ZC1+o8WSSpIisWrswdQdIAaeE9pKVLSYvuzR1FFXJkhepjn6fC1GmwvuXN0LNelS+P1HQxYARFTISJu+bJIkkV2W3/XXjw9qW5Y0gqdV72Qzov+cHjx5PffjwTX/byjIlUFUdWqD46JsBHLoU9n1IcH/laeOfX8maSmmz9gGlZaRN0rsiTRZIqssP0IRb0k5RF6u2l838v79fWefmPM6VR1RxZoXo59MXwlbuLLYrarKVJWaUhpmZtfBgmz6w+iyRVZP7P7x7+JEnVSan/cW8a+jxtd3w3qPrZtGHwQpuS6qF7Xe4EkjSudt5zx9wRJJWirY22adP7t02fvpmztb2xWKF6+c3F8K6ZcNIB8OGnw/JFuRNJajV5j9wJJGlcTZrsTgNSXaSeHnqXL+vX1vvQQ5nSqGoWK1QfnevhjONh42PF8eL58M2/yZtJUn9r7sydQJLG1bJ7XZtHqotob4eOASsXtEWeMKqcxQrVx5K7oKuzf9v//SZPFklDm7JP7gSSNK7WLlufO4KkUuruhu7u/o09vXnCqHIWK1QfU4eYfzZpavU5JJWG+ORiitNAJG3fJu44YfiTJFUiOjqIPfov7N22996Z0qhqFitUHzPnwJxn9W97zYfzZJEEDLHadpefOErazrnRgFQbKSXS+v59j7Texb6bwq1LVS8fuwJ++Hl48E6Y+3p4+btzJ5LU6tHfw05zcqeQpHEzaepENq0bYutmSdVLCTYM+KBk/YY8WVQ5ixWql512g7/8l9wpJG3OFIdeStq+PbbCT22luoi2NiY8/4V0XfPLx9sm/PGLMiZSlSxWSJJGbsqeuRNIkqQGmXz8CbTNmkXPvQvpOOSpTHjRi3NHUkUsVkiSNqMNGLDidlt7liSSVJnAdSukGomODia+9KX0HnYYbTP3JNpcdrEpLFZIkkbBvc0lbd/aJgS9m6xWSHXRPf92Npz5ddLatcT06Uw56QN0HHhg7liqgGUpSdJmDLGPeU9n9TEkqUITJrp1qVQnG847l7R2LQDp0UfZ+F//kTmRqlJpsSIizomI5RFxe0vbrhFxRUTcXX7fpWyPiPhKRCyIiFsj4sgqs0qShrBuUe4EkjSuujZ1544gqZR6ekgrlvdr633wwUxpVLWqR1acC7xyQNspwJUppYOAK8tjgFcBB5VfJwLfqCijJGlzJrsbiKTtW0pDjCqTlEW0t8OEif0bJzj6qSkqLVaklH4FrBrQfDRwXnn7POANLe3np8L1wPSI2KuapMqmtwd+cxF875Ow8KbcaSQNtO7e3AkkaVylrtwJJPVJPT3QPeCXsrcnTxhVrg5rVsxMKT0EUH7fo2zfB3ig5bzFZdsgEXFiRMyLiHkrVqwY17AaZ2f8Ffz7sfC90+CjR8FvL8mdSFKrXZ6ZO4EkjauOKXXoHkuCYmRF7Lxz/7adp2VKo6rV+X/joZacH3Jp5pTS2SmluSmluTNmzBjnWBo3jy6FX//XE8epF378b/nySBpsowVhSdu3yTtOyR1BUin19JBWr+7fNuBY2686FCuW9U3vKL/3raCyGNi35bxZwJKKs6lK0cagGlVbe5Yokjaj8+HcCaQtFhGvjIi7ysW7Txni/kkRcVF5/w0RsX/Zvn9EbIiIW8qvM6vOrursstfOw58kqRLR3g7Tp/dv3G23PGFUuToUKy4DTihvnwBc2tJ+fLkryHOB1X3TRbSdmrYHvPSvnzhua4fX/0O+PJIG2+ng3AmkLRIR7cAZFAt4HwocFxGHDjjtncAjKaWnAF8CTm+5756U0hHl13srCa0sHrjV7qZUK4891v94wO4g2n51VPlkEXEB8BJg94hYDHwC+DxwcUS8E7gfOKY8/XLg1cACYD3wjiqzKpMTz4LnHA0P3glHvhpmDexHSsoqhpqhJ20TjgIWpJQWAkTEhRSLed/Rcs7RwGnl7f8GvhbhP3pJyqVnwwboGbCg5qZNecKocpUWK1JKx23mrpcNcW4C3je+iVQ7bW3w7NcWX5Lq59HbYOqs3CmkLTHUwt1/tLlzUkrdEbEa6BtvPCcifgesAT6WUrpm4BNExIkU260ze/bssU0vSQ3UPmWINWSsITdGHaaBSJK2Fevvz51A2lIjWbh7c+c8BMxOKT0L+DDw3YgYtLCBC35vH5771iNzR5DUov2o/nXlCX8y6HNubacsVkiSRm6HObkTSFtqJAt3P35ORHQA04BVKaXOlNJKgJTSTcA9gAu4bKduvvS23BEktUhLl/Y77l3ingtNYbFCkjRyU/bMnUDaUjcCB0XEnIiYCBxLsZh3q9ZFv98EXJVSShExo1ygk4g4ADgIWFhRblVs07qu3BEklVJPD73339evreeuOzOlUdUsVqheFt4E//Q8eMcu8LUTYMNjw18jqTo77J87gbRFUkrdwEnAT4E/ABenlOZHxKci4vXlad8GdouIBRTTPfq2N30RcGtE/J5i4c33ppRWVfsTSFIDpYGz9dQklS6wKT2p3h743Gtg9bLi+Ffnw+Qd4V1n5M0l6Qn3fgcO/kDuFNIWSSldTrHbWGvbqS23N/LErmSt53wf+P64B1Q9tAG9uUNIAoiODtr23ZfeB55YH7n94EMyJlKVHFmh+lh6zxOFij5XfydPFklD6+nOnUCSxpeFCqlWpp70AdoPPRQmT6bj8COY8p6/yR1JFXFkherjvlsHt23aUH0OSZs3/em5E0iSpAaJXXel4/BnETtPo+PgQ4idB23GpO2UxQrVR7v/HKXamzwzdwJJktQgG88/j65rfglA9/XX0btiBZPf/JbMqVQFp4GoPp4+xJ7JU6ZVn0PSk/BlQ5IkVSP19tJ17TX92jZd/YtMaVQ1e52qj9VLB7d1TKg+h6TNW3/f8OdIkiSNhYjBO4J0bcqTRZWzWKH66Ooc3ObWpVK97Py03AkkSVJT9PYOLlZ0u9h3U1isUH1s2ji4rben+hySNu/RIRbClSRJksaYxQrVx6Spg9siqs8h6Un4OylJkqTxZ7FC9bF25eC2HkdWSLXStTp3AkmSJDWAxQrVx9Qh9kyONLhNUj6P3p47gSRJaoheP7hsNIsVqo9lCwe3DVxQR1JeHUMUFSVJksaB7wSazWKF6mOHXXMnkDScXZ+dO4EkSWqI6O3NHUEZWaxQfUzZaXBbx8Tqc0javDYX2JQkSdVom+h7gSazWKH6mP0MmDhgR5DDX5kni6ShTd4zdwJJktQQvd3duSMoI4sVqo+2dpgwqX/bDtPyZJE0tI0P504gFdyUCAAAF5NJREFUSZIaItp8u9pk/u2rPhbPh3WP9G/77Q/zZJE0tLV35U4gSZIaoqerK3cEZWSxQvXRuX5w28a11eeQtHmT9sqdQJIkNYUjKxrNv33Vx9J7hmh0wyKpVno7cyeQJEkNMWHSJJg8uX/jtOl5wqhyFitUH5N3zJ1A0nBW3pw7gSRJapDJHzr5iYMIpnz0H/OFUaUsVqg+7r8tdwJJw5l2YO4EkiSpQTZ+7jNPHKTEho/+v3xhVCmLFaqPPQ/KnUDScHY5MncCSZLUEF2rVw9uTE4TbwqLFaqPvSxWSLXX05M7gSRJaogJ06bljqCMLFaoPub/IncCScN56Me5E0iSpIZIQ42iiKg+iLKwWKH6eGxl7gSShpN82ZAkSdVI3d1DNDoNpCnsdao+OtflTiBpON1rcyeQJEkN0TZhwuBGR1Y0hsUK1ceRr86dQNJwwpcNSZJUjZ7OzsGNjqxoDHudqo99nz64bcrO1eeQtHlL/id3AkmS1BBDjqxQY1isUH30DjEnTVK9TN47dwJJktQQ0ebb1Sbzb1/1sWzh4LYNa6rPIWnzdj8ydwJJktQQ6xfdmzuCMrJYofpYuiB3AknDcQSUJEmqyNT95+SOoIwsVqg+dts3dwJJw+lx1x5JklSNno0bc0dQRhYrVB93XJM7gaThrHkgdwJJktQQ0dGRO4Iyslih+lizPHcCScNZ94fcCSRJUkNE7gDKqjbFiohYFBG3RcQtETGvbNs1Iq6IiLvL77vkzqlx9OzX504gaThTDsidQJIkNYQjK5qtNsWK0ktTSkeklOaWx6cAV6aUDgKuLI+1veruzJ1A0nAmTs2dQJIkNUTnypW5IyijuhUrBjoaOK+8fR7whoxZNN5WLc6dQNJwOqbnTiBJkhoipkzJHUEZ1alYkYCfRcRNEXFi2TYzpfQQQPl9j6EujIgTI2JeRMxbsWJFRXE15h57OHcCScPpcjcQSZJUjbRpU+4IyqhOk4BekFJaEhF7AFdExJ0jvTCldDZwNsDcuXPTeAXUONt5Ru4EkobTuSR3AkmS1BARLrHZZLUZWZFSWlJ+Xw5cAhwFLIuIvQDK724XsT2bOi13AknD6XA4piRJqkbnqlW5IyijWhQrImKHiNip7zbwCuB24DLghPK0E4BL8yRUJbo25k4gaThT3Q1EkiRVY8rMmbkjKKO6TAOZCVxSDvPpAL6bUvpJRNwIXBwR7wTuB47JmFHjrac3dwJJw1l5fe4EkiSpIXrWuVZWk9WiWJFSWggcPkT7SuBl1SdSFmuW5U4gaTidq3MnkCRJDTFx993pzB1C2dRiGogEwDrfBEm1t/OhuRNIkqSGeOyeBbkjKCOLFaqPB/+QO4Gk4fS4xbAkSarGlH1m5Y6gjCxWqD46JuZOIGk4k/bOnUCSJDVE6unJHUEZWaxQfTx8f+4EkobT7XQtSZJUja41a3JHUEYWK1Qfm9y6VKq/yB1AkiQ1RNukSbkjKCOLFaqPXffJnUDScNrbcyeQJEkN0bVsae4Iyshihepj6rTcCSQNZ2NX7gSSJKkpdt0tdwJlZLFC9fHUF+ROIGk4XX7CIUmSKvLoI7kTKCOLFaqP6y7MnUDScCbNzJ1AkiQ1xY475U6gjCxWqD522iN3AknDWbcgdwJJktQUixblTqCMLFaoPu6+IXcCScNamzuAJElqilmzcidQRhYrVB8z9sudQNKwJuQOIEmSGsKtS5vNYoXqY/9n5U4gaVg75A4gSZIaonfpQ7kjKCOLFaqPJXfmTiBpOJNm5E4gSZKaosst05vMYoXqY92juRNIkiRJqovp03MnUEYWK1QfD96VO4Gk4XQ+kDuBJElqivvuy51AGVmskCSN3IS9cieQJElN4W4gjWaxQvWxw7TcCSQNa1PuAJIkqSkeeyx3AmVksUL10ZtyJ5A0nK6VuRNIkqSmeMQ17ZrMYoXqo3tD7gSShuXICkmSVJFudwNpMosVqo8u3wRJ9debO4AkSWoK3x80msUK1YjTQKT6i9wBJElSU6x2zYoms1ihGvETW6n+OnMHkCRJTdHRnjuBMrJYIUmSJEmqn+SHmU1msUKSJEmSVD9dLrDZZBYrJEmSJEn109OTO4EyslghSZIkSaqfB5fkTqCMLFZIkiRJkupn1qzcCZSRxQpJkiRJUv2scevSJrNYIUmSJEmqnx2n5k6gjCxWSJKkRoiIV0bEXRGxICJOGeL+SRFxUXn/DRGxf8t9Hy3b74qIP6sytyQ11ow9cidQRhYrJEnSdi8i2oEzgFcBhwLHRcShA057J/BISukpwJeA08trDwWOBQ4DXgl8vXw8SdJ42m233AmUkcUKSZLUBEcBC1JKC1NKm4ALgaMHnHM0cF55+7+Bl0VElO0XppQ6U0r3AgvKx5MkjadzvpU7gTKyWCFJkppgH+CBluPFZduQ56SUuoHVwG4jvJaIODEi5kXEvBUrVoxhdEmSmsdihSRJaoIYoi2N8JyRXEtK6eyU0tyU0twZM2ZsQUTVwRcXnZo7gqTSzt85P3cEZWSxQpIkNcFiYN+W41nAks2dExEdwDRg1Qiv1XZkYMHCAoaUz8CChQWM5ujIHUCSJKkCNwIHRcQc4EGKBTPfOuCcy4ATgOuANwFXpZRSRFwGfDci/g3YGzgI+G1lyZWFBQqpPixQNJPFCkmStN1LKXVHxEnAT4F24JyU0vyI+BQwL6V0GfBt4D8iYgHFiIpjy2vnR8TFwB1AN/C+lFJPlh9EkqSGsFghSZIaIaV0OXD5gLZTW25vBI7ZzLWfBT47rgElSdLjtok1KyLilRFxV0QsiIhTcueRJEmSJEnjp/bFiohoB84AXgUcChwXEYfmTSVJkiRJksZL7YsVwFHAgpTSwpTSJuBC4OjMmSRJkiRJ0jjZFooV+wAPtBwvLtseFxEnRsS8iJi3YsWKSsNJkiRJkqSxtS0UK2KIttTvIKWzU0pzU0pzZ8yYUVEsjbmL0/DnSMrrGH9PJUmSNP62hWLFYmDfluNZwJJMWTTeBhYsLGBI+QwsTFiokCRJUkW2ha1LbwQOiog5wIMUe56/NW8kjSsLFFJ9WKCQJElSBrUvVqSUuiPiJOCnQDtwTkppfuZYkiRJkiRpnNS+WAGQUrocuDx3DkmSJEmSNP62hTUrJEmSJElSg1iskCRJkiRJtWKxQpIkSZIk1YrFCkmSJEmSVCsWKyRJkiRJUq1YrJAkSZIkSbVisUKSJEmSJNWKxQpJkiRJklQrFiskSZIkSVKtWKyQJEmSJEm1YrFCkiRJkiTVisUKSZIkSZJUKxYrJEmSJElSrURKKXeGMRURK4D7cufQVtsdeDh3CEmP83dy+7BfSmlG7hBNYH9ku+H/fVJ9+Pu4/RhRf2S7K1Zo+xAR81JKc3PnkFTwd1JSE/l/n1Qf/j42j9NAJEmSJElSrViskCRJkiRJtWKxQnV1du4Akvrxd1JSE/l/n1Qf/j42jGtWSJIkSZKkWnFkhSRJkiRJqhWLFZIkSZIkqVY6cgdQM0RED3BbS9MbUkqLNnPu/sCPU0pPH/9kUjNFxG7AleXhnkAPsKI8PiqltClLMEkaR/ZHpHqxP6InY7FCVdmQUjoidwhJhZTSSuAIgIg4DVibUvrX1nMiIijWNuqtPqEkjQv7I1KN2B/Rk3EaiLKJiP0j4pqIuLn8ev4Q5xwWEb+NiFsi4taIOKhsf3tL+1kR0V79TyBtfyLiKRFxe0ScCdwM7BsRj7bcf2xEfKu8PTMifhAR88rfx+fmyi1JW8r+iFQ/9kcEFitUnSnlC/ktEXFJ2bYc+NOU0pHAW4CvDHHde4Evl5+CzAUWR8TTyvNfULb3AG8b/x9BaoxDgW+nlJ4FPPgk530F+EJKaS7wZuBbVYSTpK1gf0TadtgfaTingagqQw27nAB8LSL6XuAPHuK664B/iohZwA9SSndHxMuAZwM3FqPCmELR0ZA0Nu5JKd04gvNeDhxS/h4C7BIRU1JKG8YvmiRtFfsj0rbD/kjDWaxQTh8ClgGHU4zy2TjwhJTSdyPiBuA1wE8j4l1AAOellD5aZVipQda13O6l+J3rM7nlduDiV5K2ffZHpHqyP9JwTgNRTtOAh8rFcv4SGDTPMyIOABamlL4CXAY8k2LF4DdFxB7lObtGxH7VxZaao/z9fCQiDoqINuDPW+7+OfC+voPyU0lJ2tbYH5Fqzv5IM1msUE5fB06IiOsphlyuG+KctwC3R8QtwFOB81NKdwAfA34WEbcCVwB7VZRZaqL/B/yEomO+uKX9fcALysXm7gDenSOcJG0l+yPStsH+SMNESil3BkmSJEmSpMc5skKSJEmSJNWKxQpJkiRJklQrFiskSZIkSVKtWKyQJEmSJEm1YrFCkiRJkiTVisUKaRsUEadFRGr5WhIR34+IAzNk+VpErIyICZu5/+SI6ImIEW3nFhEd5c/03rFNKkmStsYQ/Y/1EXFbRJyYO9uWioirW36e7ohYFBFnRcSMLXisg8s/o+njkVVqGosV0rZrNfC88utk4AjgyojYoeIcFwC7Aq/YzP3HAlenlB6qLpIkSRonrf2P1wFXAmdFxFuzpto6v6D4eV4C/BtwHEX/ZrQOBj4BWKyQxkBH7gCStlh3Sun68vb1EXE/cA3wauB7Feb4DXAfRVHif1rviIinAM8G3l1hHkmSNH5a+x9QfFDyfOANwHczZdpaq1p+pl9HxFTgcxGxd0ppSc5gUpM5skLaftxUft8/Ip4XEZeV00PWRcQtEfG2gRdExEsi4taI2BgRN0bEURHxcEScNuC8oyNiXnne0oj4Qt+0j5RSAi4Cjo6IyQOe4ligC/h++Tg7RcQZEXFXOXT03nIayU5P9oNFxOKI+PyAtneVQzYnt7TtFhHfjIjlZdZfR8RzBlz37oi4IyI2lD/r1RHxtCd7fkmS9KQeA/pNB42IORHxw4hYExGPRcSPyg8x+u7fv3wdf+2A686NiHktx6eVr9fPiojry/7D7yLijweGKPsG8yOiMyLui4iPbOHP8/vy+74tj/3UiLgwIh4oM8yPiA9GRFt5/0uAH5Wn31v+bItarp9dXr+qvP6nEXHIgPwfjYgFZR9mWUT8JCL23MKfQdrmObJC2n7sX35fCuwHXAucCWwEXgB8JyJ6U0oXAETEPsDlFCMj/hHYE/gvYErrg0bEmymGQp5Vnncg8DmKYufJ5WkXAB8BXkNZmCgdC/wkpfRIebwDEOXjPAzMBj4GzCmv3WJl0eKq8jn+HlgBvA/4eUQclFJaHhF/ApwBfBy4AdgZeH75XZIkjUBE9L2HmAq8Hngx8Nct90+imB7SRTG6shv4JPDLiHhGSmnVKJ9yKnAe8CWKfs4ngEsiYnZKaX35nP8A/DPwBeBqipGdn46I9Smlr43y+WYDvRQjR/vsA9xF0Vd6jGL67Scp+k2fA26m6Bf9K/BG4CGgs8y2K/BrYCXwXmA9cApFH+XglNKGiDieon/0/4D5wG7An1D0a6RGslghbcNaOgsHAF+nePH8eev6EBERwK+AWRQdhr45mB+keLF8XUppQ3nuGopREq3X/gtwfkrpb1vaO4EzIuJzKaWVKaVbIuIPFMWJvlEUhwGHAZ/tuy6ltBRofZwO4H7g6ojYJ6X04Fb8cZwAHAIcmlJaWD7+VcD/AR8CPgocBfwupXR6y3WXbcVzSpLUNLtRFCFafSWldH7L8Tso3vAf3PKafAOwEHgPxZv70ZgCfDCldFX5WA8BvwNeBPwkInamKGB8JqX0yfKaK8rpHB+LiG+klHqe5PGj7JO0UxQ5PgqcXfZbAEgpXUlRgOnrH/2aoojybuBzKaU1EXFXefrvUkqLWh7/QxRFhyP6CjURcS2wiKLIcwZFH+VnKaWvt1z3g5H+AUnbI6eBSNuuvs5CF0Wl/wDgLSmlhyJil4j4SkTc13LOiRQLP/V5DnBFX6GiNPCN+8EUnY2Lo9ilo6N8Mb8KmAw8veXcC4HXRMSO5fGxFMWQfo8ZESdEMS1lbZnr6vKug0b9J9Dfy4EbgftbcvZSFGrmlufcAsyNiC9GxB9HxMStfE5JkppmNUUf4jnAC4EPACdExCdazjkKuLmvUAGQUlpMMerzhVvwnK39BYA7yu+zyu/PoygGfG+I/srMlvM2543lc2wsMy4D/q71hIiYHBGfjIgFFCMmuig+kJnT8uHR5rwcuAJY05LtMYopvK19lFeXz3FURLQP85jSds9ihbTt6usszKV4Ed4/pfS/5X3nAm+hGBXxivK8cygKDH32pJgq8biU0kZgbUvT7uX3y3mi6NEF3Fu279ty7gUUn3y8vjx+C3BZSmld3wkRcUyZ7dfAMcAfld8ZkG1L7E7RAeoa8PWXfTlTSj8B3gW8FPglsCIivlp+8iJJkobXnVKaV35dm1L6CvBp4B/L6Q4Ae1G84R9oGcUOYqO1JqXU23eQUtpU3uzrO/T1V+bTvw/wi7K9tb8ylKt4ovhyOkWx5TMDzjmdYprH2RSLmT+n5Zzh+jC7U/SLBvZRXtqS7RyKaSBvppiquiwiPm3RQk3mNBBp29WdUpo3sLFcu+E1wEkppTNb2gcWJ5cCM4a4dseWpr45pSdSDLccqK9oQUrp7oi4CTi2HAZ5EE+sadHnGODalNJJLc/5pItrljYCA0dBDOzsrAKuB96/mev7cn6HYv2OPYC/oNiibDXF2hmSJGn07qB4nT6Q4vX4IYqpoAPN5Im+Rd9r83Cv7yPR95ivZegiyV1DtLV6pKVPdW1EzAA+GBFfSyk9ULYfA3w1pfSFvosiYqTrba2iGGn66SHuewygLMZ8CfhSROwLvI1i5MaDFGuQSY1jsULa/kyimHPZ2ddQFgReD6SW824E3hERU1qmgrye/u6ieJHcP6X0zRE89wUUi1stAx4FfjLg/imtuUqDdikZwmJg4I4dfzrg+EqKTsCilNLDwz1gSmk58I2IeBNw6AgySJKkofVNC+17Y38DcHxEzEkp3QuPL+z9fOC08pzlFKMLHn99L6eSPo/+C1uOxHXABmDvlNL/DHfyCHwCeDvFWhMfLtv69WHKEQ/HDrhu4IiPPldSjJiYP2D67ZDKAsnnI+Id2EdRg1mskLYzKaXVEXEjcGq5YGYvxYrTq+m/68W/U+yW8aOI+BLFtJBTKNaZ6C0fqzci/h74j3Lxqv+leCE+gGI/9Tf1rcJduohi6sk7gXNahmn2uQL494j4KDCP4hOQF4/gx7oE+LeIOIVite03USym2eo7FIt2XR0RX6RYxGt34LnAAymlr0TEZ4CdKNaxeJhiEa0XUuweIkmShtcREc8tb0+keC39GHBpy4KU51LsavG/EXEq0ENRpHiYYnexvj7GpcCHyjW2HqV4PR72zfxAKaVHo9h2/csRsR/F63wbxdpbL00p/fkoH29xRJwHvDsiPpVSepSiD/O+cs2KVRR9qEkDLu0bwfGeiLgQWJ9Suo1iFOfbgasi4qsUHwTNpOgD/TqldEFEnMUTo0RXU0wROYjiz1FqJNeskLZPb6WYonE+8GWKHTpaV+mm3HnjNcAeFKtNv59iRep2YE3LeRcBR1Ns0fW98ty/pSgabBrwmIuBayi2J71wiFxfL/N8qMy0N8WaEsP5BvDV8roLKdbV6LeSePlJxYsp5qd+mqJT8WWKbVF/W572W+AZFMMpf0JR3PgYxSrckiRpeNMoRjJcB/ycok9wJi2v5ymlTopFJe8Evk2x7eh9wEsGbFt6EsWCll+neC2+gGL9iFErp2ecCLwKuLR8rLdR9Eu2xOcpRkj8TXn8/vKxzqBYX+J2BvdF7qOYAvtGip/rR2X7wxQfntxJMdXjZxRbrE4Dbi0vv45id5PvUKwV9ufAu1NKP9zC/NI2L1JKw58lqREi4oUUL8R/klL6xXDnS5IkSdJ4sFghNVhEnE6xcOZSimkVHwdWAs9qXXVbkiRJkqrkmhVSs02iWGNiJsVq1D8DPmyhQpIkSVJOjqyQJEmSJEm14gKbkiRJkiSpVixWSJIkSZKkWrFYIUmSJEmSasVihSRJkiRJqhWLFZIkSZIkqVb+P4Mni+cJqU10AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1296x504 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# page values vs revenue\n",
    "\n",
    "plt.rcParams['figure.figsize'] = (18, 7)\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.stripplot(df['Revenue'], df['PageValues'], palette = 'autumn')\n",
    "plt.title('PageValues vs Revenue', fontsize = 30)\n",
    "plt.xlabel('PageValues', fontsize = 15)\n",
    "plt.ylabel('Revenue', fontsize = 15)\n",
    "\n",
    "# bounce rates vs revenue\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.stripplot(df['Revenue'], df['BounceRates'], palette = 'magma')\n",
    "plt.title('Bounce Rates vs Revenue', fontsize = 30)\n",
    "plt.xlabel('Boune Rates', fontsize = 15)\n",
    "plt.ylabel('Revenue', fontsize = 15)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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75b/t3Uc4T1f+nyJJIzG0SaqLxhefMRT3EHvKsP3N/Lz87/Pp7Ho2KCb5uL9cPzYiNmbSi6+W/x0A/n0jztNUZi6kCDqN4PbpkYJbpZ6tKIbx1cElDA0lPD4injBC2/eMwvM3hvaNoZjlcBZDM4JekM3vPbc+llbWN8XkXtX7s/2f4b1t5Syr/11uPpniZs7dUA1lx0TEjsBLy+1flX94aeWrlfX/2AQ9kp26qbI+0h8U2t0v7ufA78v1V0bEc0ZqLEkbwtAmqS6uqKw3vryvYeheS800euH2pZjWvfGYVtezUd5D6d/KzW2B70XEfq3aA0TEQRHR7GbGn6W4RxvAmyPi9BHuCUZEPDEi/jkiXjDS8w2rdyGP73H7dES0+iL+GYaGI/5DRPxHm3rGRcS7IqLZTcq7ouwRbdzD7inA15r1/kTEeyju6dZt/4+hyU2OocOhkRHx8og4sckEJtU2z6D42UDRa3PbRtbaVhY3ym5Mq/80mve2fZih1/xvEfGOkYJSRDwlIj4cEXu1apOZtzJ0belLgH9k6Mbk7YaYfo2hHskjgHPLm9y3quevIuL4iBjtXqvvV9ZPbfYHhYh4DXDySCfJ4h6GjZuUB/DNdv+mImJaRJy5nvVK6mPRu9vNSNKQ8h5rvx22e0FmtgxUEbEH604jP+JjKo89n6EZBNdQTPLwY4rrU4JiqvJnUtzcegpwc2au0ysXEftT3My58YVvkKKn4waKCQp2oPhyfSDFF/xtgKMzc+6w81Tr2b0c7lg9vndZ35PLXe/JzE83qeeAsl1j1sY7ynp+M6yegyiGlG4DvDYzLx52nrkM3aR5t3I4aFPt2kbErhQzOTZ6TxcDX6YY3roLxSQhL6QYbrqK4rqgR7s1Qcqw9/YvFK/5xsxsdbNoyun+P09x3dOPgV9R9KaspPhsHEQxCUcjfHywnCxkQ+q7h6Gf64jvddn+uQz9MeNW4Ok57ObnZeC5iKHev0UUs2T+tnwN44C/obiH2nMo/oi7X45wC4PKewJD7+Mq4K/bTRhS/lv9JUMzwt5HMdTzOmAFxQQ0kyhubTCL4n19V2b+32HnOZ2hP+ockJnzRnjOEduWQXYeMKPctYRiZs7bGZp45mUUn91tKO6p9nBmVmdErZ7vUzy+Z/PHwGXl+dZQ3BNxH4r/D0wFVmTmjq3ql6THyUwXFxeXWiwU1xhlZflMB48ZHPaYMzp8rgA+RHH9T3aw/GiEc02luBlzJ+d5BHhRk3OcX2kzcYTnuafS7j0t2u1DERo7qWcl8IIm55hbafOUNu9l27ZlTbePUMfvyzZXN96nLn6uDm/yfO9r85gTOnz/VgOfoPwj6AbWV/2ZjvheVx7zs8pjjmvR5vlt3vPq8iCwZ5vnfBJFiK0+7pL1eJ27Uwwl7KSeVRR/3Bh+jtMrbWa2eb62bYGnU/ROt6rjBoprFeeV2w+1ec53UvxxpJPXeGO3PuMuLi5b/uLwSEl1Mvz6tZbDHCt+Pmz7ik6eKAv/StHr9KHyPH+g+LK4kqKH6ocUQ80OyswXjXCuRcB+FDcy/hpFT9IfKb7QP0gR6L4KvJniS/mPOqmxxfO8gOJLPsDp5bDC4e0WUkxF/2qKa7oWA3+iuLbsgUo9b6Lo2fnJhtSznrUvpAhlH6L4IvwwxXt0A3AaMKNsMxp+xNB7BkWvxwVtHnM2xc/0ZIr7tN1KcZ+51RQ9Q9dRDEednpnvy8zsdtFtfKyyvs61bQCZ+VOKGTv/HvgGxfV3D1N8xpdTTBLzBYqezt0ys93Nz+9naGhmQ0ezb5aPvyMzDwEOA86h6P1bwdB7eiPFzczfAkzIzP/q9NwbKovJXZ4FfJKiF/KRspZ5FD/7gzKz42GvmflZipD3forP3d0UvZKPUoTDn1Bcl/h8ip58SeqIwyMlSZIkqcbsaZMkSZKkGjO0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaqxdaYI3lR22WWXnDx5cq+eXpIkSZJ6av78+fdl5vh27XoW2iZPnsy8efN69fSSJEmS1FMR0dG9IB0eKUmSJEk1ZmiTJEmSpBoztEmSJElSjfXsmjZJkiRJ/WfVqlUMDg7yyCOP9LqUTWbs2LFMnDiRrbfeeoMeb2iTJEmStMkMDg7yhCc8gcmTJxMRvS5n1GUmy5cvZ3BwkClTpmzQORweKUmSJGmTeeSRR9h55537IrABRAQ777zzRvUsGtokSZIkbVL9EtgaNvb1tg1tEXFuRNwbETe2OB4RcWZELImIGyJixkZVJEmSJKnvDQwMMH36dPbdd19e8YpX8OCDD/a6pJ7ppKftK8ARIxx/CbBXuZwAfH7jy5IkSZLUz7bbbjsWLFjAjTfeyJOe9CTmzJnT65J6pm1oy8yfAfeP0OSVwNeycDWwY0Ts1q0CJUmSJPW3gw8+mDvvvHPt9ic/+UkOOOAApk2bxoc+9CEA3v/+9/O5z31ubZvTTjuNT33qUy3bL126lKlTp/KWt7yFffbZh8MOO4yVK1cCcOihhzJv3jwA7rvvPiZPngzA6tWree9737v2XF/84hdH/bVDd65pmwDcUdkeLPdJkiRJ0kZZvXo1l19+OUceeSQAl112GYsXL+aaa65hwYIFzJ8/n5/97GfMnj2bCy+8cO3jLrroIl772te2bA+wePFi3vGOd7Bw4UJ23HFHvvGNb4xYy5e+9CXGjRvHtddey7XXXsvZZ5/N73//+9F78aVuTPnf7Kq6bNow4gSKIZRMmjSpC0+t0fS78Yf0ugRps7bHsp/3ugRps+bvIWnjbO6/h1auXMn06dNZunQp+++/Py9+8YuBIrRddtll7LfffgA89NBDLF68mOOOO457772Xu+66i2XLlrHTTjsxadIkzjzzzKbtJ02axJQpU5g+fToA+++/P0uXLh2xpssuu4wbbriBiy++GIAVK1awePHiDZ7Kv1PdCG2DwO6V7YnAXc0aZuZZwFkAM2fObBrsJEmSJKlxTduKFSt4+ctfzpw5czjppJPITE455RTe+ta3rvOYo446iosvvph77rmH2bNnA7Rsv3TpUrbddtu12wMDA2uHR2611VasWbMG4HFT9Wcmn/3sZzn88MO7/npH0o3hkZcAbypnkXw2sCIz7+7CeSVJkiT1uXHjxnHmmWdy+umns2rVKg4//HDOPfdcHnroIQDuvPNO7r33XgBmz57N3LlzufjiiznqqKMARmzfyuTJk5k/fz7A2l61xrk+//nPs2rVKgBuueUWHn744e6+4Cba9rRFxH8BhwK7RMQg8CFga4DM/AJwKfBSYAnwZ+DY0SpWkiRJUv/Zb7/9eNaznsXcuXN54xvfyKJFizj44IMB2GGHHTj//PPZdddd2WefffjTn/7EhAkT2G23Ym7Eww47rGn7gYGBls938skn87rXvY7zzjuPF77whWv3H3/88SxdupQZM2aQmYwfP55vfetbo/jKC5HZm1GKM2fOzMaMLKonryWQNs7mfi2B1Gv+HpI2Tl1/Dy1atIipU6f2uoxNrtnrjoj5mTmz3WO7MTxSkiRJkjRKDG2SJEmSVGOGNkmSJEmqMUObJEmSJNWYoU2SJEmSaszQJkmSJEk1ZmiTJEmS1FcGBgaYPn362mXp0qUt2y5dupR999130xXXRNuba0uSJEnSqLkgunu+17e/D/V2223HggULuvu8o8ieNkmSJEl9b+nSpRxyyCHMmDGDGTNm8Mtf/nKdNgsXLuTAAw9k+vTpTJs2jcWLFwNw/vnnr93/1re+ldWrV3e1NkObJEmSpL6ycuXKtUMj/+7v/g6AXXfdlR/+8If8+te/5sILL+Skk05a53Ff+MIX+Kd/+icWLFjAvHnzmDhxIosWLeLCCy/kyiuvZMGCBQwMDPD1r3+9q/U6PFKSJElSX2k2PHLVqlWceOKJa4PXLbfcss7jDj74YD760Y8yODjIq1/9avbaay8uv/xy5s+fzwEHHAAUgXDXXXftar2GNkmSJEl974wzzuDJT34y119/PWvWrGHs2LHrtHn961/PQQcdxHe/+10OP/xwzjnnHDKTN7/5zXzsYx8btdocHilJkiSp761YsYLddtuNMWPGcN555zW9Lu3WW2/laU97GieddBJHHnkkN9xwA7NmzeLiiy/m3nvvBeD+++/ntttu62pthjZJkiRJfe/tb387X/3qV3n2s5/NLbfcwvbbb79OmwsvvJB9992X6dOn89vf/pY3velN7L333nzkIx/hsMMOY9q0abz4xS/m7rvv7mptkdl+SszRMHPmzJw3b15Pnlud+d34Q3pdgrRZ22PZz3tdgrRZ8/eQtHHq+nto0aJFTJ06tddlbHLNXndEzM/Mme0ea0+bJEmSJNWYoU2SJEmSaszQJkmSJEk1ZmiTJEmSpBoztEmSJElSjRnaJEmSJKnGtup1AZIkSZK0qSxfvpxZs2YBcM899zAwMMD48eMBuOaaa9hmm216WV5ThjZJkiRJPdPtezK2uz/dzjvvzIIFCwA47bTT2GGHHTj55JMf1yYzyUzGjKnHwMR6VCFJkiRJPbRkyRL23Xdf3va2tzFjxgzuuOMOdtxxx7XH586dy/HHHw/AH/7wB1796lczc+ZMDjzwQK6++upRrc3QJkmSJEnATTfdxHHHHcd1113HhAkTWrY76aSTeN/73se8efO46KKL1oa50eLwSEmSJEkC9thjDw444IC27X70ox9x8803r91+4IEHWLlyJdttt92o1GVokyRJkiRg++23X7s+ZswYMnPt9iOPPLJ2PTM36aQlDo+UJEmSpGHGjBnDTjvtxOLFi1mzZg3f/OY31x570YtexJw5c9ZuNyY2GbVaRvXskiRJkrSZ+vjHP84RRxzBrFmzmDhx4tr9c+bM4corr2TatGnsvffenH322aNaR1S7/DalmTNn5rx583ry3OpMt6dflfpNuymHJY3M30PSxqnr76FFixYxderUXpexyTV73RExPzNntnusPW2SJEmSVGOGNkmSJEmqMUObJEmSJNWYU/6rpT0+84telyBJkqQtUGYSEb0uY5PZ2HlE7GmTJEmStMmMHTuW5cuXb3SQ2VxkJsuXL2fs2LEbfA572iRJkiRtMhMnTmRwcJBly5b1upRNZuzYsY+7ZcD6MrRJkiRJ2mS23nprpkyZ0usyNisOj5QkSZKkGjO0SZIkSVKNGdokSZIkqca8pk2SJNWSt56RpII9bZIkSZJUY4Y2SZIkSaqxjkJbRBwRETdHxJKI+ECT45Mi4icRcV1E3BARL+1+qZIkSZLUf9qGtogYAOYALwH2Bo6OiL2HNfsgcFFm7gfMBj7X7UIlSZIkqR910tN2ILAkM2/NzL8Ac4FXDmuTwBPL9XHAXd0rUZIkSZL6VyezR04A7qhsDwIHDWtzGnBZRLwT2B54UVeqkyRJkqQ+10lPWzTZl8O2jwa+kpkTgZcC50XEOueOiBMiYl5EzFu2bNn6VytJkiRJfaaT0DYI7F7Znsi6wx+PAy4CyMyrgLHALsNPlJlnZebMzJw5fvz4DatYkiRJkvpIJ6HtWmCviJgSEdtQTDRyybA2twOzACJiKkVosytNkiRJkjZS29CWmY8BJwI/ABZRzBK5MCI+HBFHls3eA7wlIq4H/gv4+8wcPoRSkiRJkrSeOpmIhMy8FLh02L5TK+s3Ac/tbmmSJEmSpI5uri1JkiRJ6g1DmyRJkiTVmKFNkiRJkmrM0CZJkiRJNWZokyRJkqQaM7RJkiRJUo0Z2iRJkiSpxgxtkiRJklRjhjZJkiRJqjFDmyRJkiTVmKFNkiRJkmrM0CZJkiRJNWZokyRJkqQaM7RJkiRJUo0Z2iRJkiSpxgxtkiRJklRjhjZJkiRJqjFDmyRJkiTVmKFNkiRJkmrM0CZJkiRJNWZokyRJkqQaM7RJkiRJUo0Z2iRJkiSpxgxtkiRJklRjhjZJkiRJqjFDmyRJkiTVmKFNkiRJkmrM0CZJkiRJNWZokyRJkqQaM7RJkiRJUo0Z2iRJkiSpxgxtkiRJklRjhjZJkiRJqjFDmyRJkiTVmKFNkiRJkmrM0CZJkiRJNWZokyRJkqQaM7RJkiRJUo0Z2iRJkiSpxgxtkiRJklRjhjZJkiRJqjGllI+nAAAPFElEQVRDmyRJkiTVmKFNkiRJkmqso9AWEUdExM0RsSQiPtCizesi4qaIWBgRF3S3TEmSJEnqT1u1axARA8Ac4MXAIHBtRFySmTdV2uwFnAI8NzMfiIhdR6tgSZIkSeonnfS0HQgsycxbM/MvwFzglcPavAWYk5kPAGTmvd0tU5IkSZL6UyehbQJwR2V7sNxX9TfA30TElRFxdUQc0exEEXFCRMyLiHnLli3bsIolSZIkqY90Etqiyb4ctr0VsBdwKHA0cE5E7LjOgzLPysyZmTlz/Pjx61urJEmSJPWdTkLbILB7ZXsicFeTNv+Tmasy8/fAzRQhTpIkSZK0EToJbdcCe0XElIjYBpgNXDKszbeAFwBExC4UwyVv7WahkiRJktSP2oa2zHwMOBH4AbAIuCgzF0bEhyPiyLLZD4DlEXET8BPgvZm5fLSKliRJkqR+0XbKf4DMvBS4dNi+UyvrCby7XCRJkiRJXdLRzbUlSZIkSb1haJMkSZKkGjO0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaoxQ5skSZIk1ZihTZIkSZJqzNAmSZIkSTVmaJMkSZKkGjO0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaoxQ5skSZIk1ZihTZIkSZJqzNAmSZIkSTVmaJMkSZKkGjO0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaoxQ5skSZIk1ZihTZIkSZJqzNAmSZIkSTVmaJMkSZKkGjO0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaoxQ5skSZIk1ZihTZIkSZJqzNAmSZIkSTVmaJMkSZKkGjO0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaoxQ5skSZIk1ZihTZIkSZJqzNAmSZIkSTVmaJMkSZKkGusotEXEERFxc0QsiYgPjNDuqIjIiJjZvRIlSZIkqX+1DW0RMQDMAV4C7A0cHRF7N2n3BOAk4FfdLlKSJEmS+lUnPW0HAksy89bM/AswF3hlk3b/BnwCeKSL9UmSJElSX+sktE0A7qhsD5b71oqI/YDdM/M7XaxNkiRJkvpeJ6EtmuzLtQcjxgBnAO9pe6KIEyJiXkTMW7ZsWedVSpIkSVKf6iS0DQK7V7YnAndVtp8A7AtcERFLgWcDlzSbjCQzz8rMmZk5c/z48RtetSRJkiT1iU5C27XAXhExJSK2AWYDlzQOZuaKzNwlMydn5mTgauDIzJw3KhVLkiRJUh9pG9oy8zHgROAHwCLgosxcGBEfjogjR7tASZIkSepnW3XSKDMvBS4dtu/UFm0P3fiyJEmSJEnQ4c21JUmSJEm9YWiTJEmSpBoztEmSJElSjRnaJEmSJKnGDG2SJEmSVGOGNkmSJEmqMUObJEmSJNWYoU2SJEmSaszQJkmSJEk1ZmiTJEmSpBoztEmSJElSjRnaJEmSJKnGDG2SJEmSVGOGNkmSJEmqMUObJEmSJNWYoU2SJEmSaszQJkmSJEk1ZmiTJEmSpBoztEmSJElSjRnaJEmSJKnGDG2SJEmSVGOGNkmSJEmqMUObJEmSJNWYoU2SJEmSaszQJkmSJEk1ZmiTJEmSpBoztEmSJElSjRnaJEmSJKnGDG2SJEmSVGOGNkmSJEmqMUObJEmSJNWYoU2SJEmSaszQJkmSJEk1ZmiTJEmSpBoztEmSJElSjRnaJEmSJKnGDG2SJEmSVGOGNkmSJEmqMUObJEmSJNWYoU2SJEmSaszQJkmSJEk1ZmiTJEmSpBoztEmSJElSjXUU2iLiiIi4OSKWRMQHmhx/d0TcFBE3RMTlEfHU7pcqSZIkSf2nbWiLiAFgDvASYG/g6IjYe1iz64CZmTkNuBj4RLcLlSRJkqR+1ElP24HAksy8NTP/AswFXlltkJk/ycw/l5tXAxO7W6YkSZIk9adOQtsE4I7K9mC5r5XjgO9tTFGSJEmSpMJWHbSJJvuyacOIY4CZwPNbHD8BOAFg0qRJHZYoSZIkSf2rk562QWD3yvZE4K7hjSLiRcD/AY7MzEebnSgzz8rMmZk5c/z48RtSryRJkiT1lU5C27XAXhExJSK2AWYDl1QbRMR+wBcpAtu93S9TkiRJkvpT29CWmY8BJwI/ABYBF2Xmwoj4cEQcWTb7JLAD8N8RsSAiLmlxOkmSJEnSeujkmjYy81Lg0mH7Tq2sv6jLdUmSJEmS6PDm2pIkSZKk3jC0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaoxQ5skSZIk1ZihTZIkSZJqzNAmSZIkSTVmaJMkSZKkGjO0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaoxQ5skSZIk1ZihTZIkSZJqzNAmSZIkSTVmaJMkSZKkGjO0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaoxQ5skSZIk1ZihTZIkSZJqzNAmSZIkSTVmaJMkSZKkGjO0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaoxQ5skSZIk1ZihTZIkSZJqzNAmSZIkSTVmaJMkSZKkGjO0SZIkSVKNGdokSZIkqcYMbZIkSZJUY4Y2SZIkSaoxQ5skSZIk1ZihTZIkSZJqzNAmSZIkSTVmaJMkSZKkGjO0SZIkSVKNGdokSZIkqcY6Cm0RcURE3BwRSyLiA02ObxsRF5bHfxURk7tdqCRJkiT1o7ahLSIGgDnAS4C9gaMjYu9hzY4DHsjMPYEzgI93u1BJkiRJ6ked9LQdCCzJzFsz8y/AXOCVw9q8EvhquX4xMCsiontlSpIkSVJ/6iS0TQDuqGwPlvuatsnMx4AVwM7dKFCSJEmS+tlWHbRp1mOWG9CGiDgBOKHcfCgibu7g+SU1twtwX6+L0Aje4IADSVs8fxfVmb+HNgdP7aRRJ6FtENi9sj0RuKtFm8GI2AoYB9w//ESZeRZwVieFSRpZRMzLzJm9rkOS1L/8XSRtGp0Mj7wW2CsipkTENsBs4JJhbS4B3lyuHwX8ODPX6WmTJEmSJK2ftj1tmflYRJwI/AAYAM7NzIUR8WFgXmZeAnwJOC8illD0sM0ezaIlSZIkqV+EHWLS5ikiTiiHHEuS1BP+LpI2DUObJEmSJNVYJ9e0SZIkSZJ6xNAmSZIkSTVmaJMkSdJ6iYhte12D1E8MbdJmJArHRMSp5fakiDiw13VJkvpDRBwYEb8BFpfbz4qIz/a4LGmLZ2iTNi+fAw4Gji63/wTM6V05kqQ+cybwcmA5QGZeD7ygpxVJfaDtfdok1cpBmTkjIq4DyMwHypveS5K0KYzJzNsiorpvda+KkfqFoU3avKyKiAEgASJiPLCmtyVJkvrIHeWw/Cx/H70TuKXHNUlbPIdHSpuXM4FvArtGxEeBXwD/3tuSJEl95B+BdwOTgD8Azy73SRpF3lxb2sxExDOAWUAAl2fmoh6XJEmSpFFkaJM2IxGxBzCYmY9GxKHANOBrmflgbyuTJPWDiDibcoh+VWae0INypL7h8Ehp8/INYHVE7AmcA0wBLuhtSZKkPvIj4PJyuRLYFXi0pxVJfcCeNmkzEhG/LmePfB+wMjM/GxHXZeZ+va5NktR/ImIM8MPMnNXrWqQtmT1t0uZlVUQcDbwJ+E65b+se1iNJ6m9TgKf2ughpS+eU/9Lm5VjgbcBHM/P3ETEFOL/HNUmS+kREPMDQNW1jgPuBD/SuIqk/ODxSkiRJbUVxR+3dgTvLXWvSL5LSJmFokzYDEfEbmszW1ZCZ0zZhOZKkPhUR8zNz/17XIfUbh0dKm4eX97oASZKAayJiRmb+uteFSP3EnjZJkiSNKCK2yszHypEfU4HfAQ8DAWRmzuhpgdIWzp42aTMSEc8GPkvxC3MbYAB4ODOf2NPCJElbumuAGcCrel2I1I8MbdLm5T+B2cB/AzMppv7fs6cVSZL6QQBk5u96XYjUjwxt0mYmM5dExEBmrga+HBG/7HVNkqQt3viIeHerg5n56U1ZjNRvDG3S5uXPEbENsCAiPgHcDWzf45okSVu+AWAHyh43SZuWE5FIm5GIeCrwB4rr2d4FjAM+l5lLelqYJGmLFhG/drIRqXcMbdJmICImZebtva5DktSfIuK6zNyv13VI/WpMrwuQ1JFvNVYi4hu9LESS1Jdm9boAqZ8Z2qTNQ/Uagqf1rApJUl/KzPt7XYPUzwxt0uYhW6xLkiRpC+c1bdJmICJWAw9T9LhtB/y5cQhIb64tSZK05TK0SZIkSVKNOTxSkiRJkmrM0CZJkiRJNWZokyTVWkScERH/XNn+QUScU9n+VES8ewPO+1C3aqycc3JE3Njt80qS+puhTZJUd78EngMQEWOAXYB9KsefA1zZg7okSdokDG2SpLq7kjK0UYS1G4E/RcROEbEtMBW4LiLeGxHXRsQNEfGvjQdHxDERcU1ELIiIL0bEQPXkEbFLRFwVES8rt9c5T9mDtigizo6IhRFxWURsVx7bPyKuj4irgHeM+rshSeo7hjZJUq1l5l3AYxExiSK8XQX8CjgYmAncABwK7AUcCEwH9o+I50XEVOB/Ac/NzOnAauANjXNHxJOB7wKnZuZ3I+KwZucpm+8FzMnMfYAHgdeU+78MnJSZB4/SWyBJ6nNb9boASZI60Ohtew7waWBCub6CYvjkYeVyXdl+B4qQNQ3YH7g2IqC4z+G9ZZutgcuBd2TmT8t9rc5zO/D7zFxQ7p8PTI6IccCOlcefB7yka69akiQMbZKkzUPjurZnUgyPvAN4D/BH4FyKnraPZeYXqw+KiHcCX83MU5qc8zGK8HU40Ahd0eI8k4FHK7tWUwTAALzhqSRpVDk8UpK0ObgSeDlwf2auzsz7gR0phkheBfwA+IeI2AEgIiZExK4UPWlHletExJMi4qnlORP4B+AZEfGBcl+r8zSVmQ8CKyLib8tdb2jVVpKkDWVPmyRpc/AbilkjLxi2b4fMvA+4rLx+7apyGORDwDGZeVNEfLA8PgZYRTFZyG0Ambk6ImYD346IP2bm55qdh6JnrZVjgXMj4s8UoU+SpK6KTEd1SJIkSVJdOTxSkiRJkmrM0CZJkiRJNWZokyRJkqQaM7RJkiRJUo0Z2iRJkiSpxgxtkiRJklRjhjZJkiRJqjFDmyRJkiTV2P8HfVxv6g6aQhQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# weekend vs Revenue\n",
    "\n",
    "data = pd.crosstab(df['Weekend'], df['Revenue'])\n",
    "data.div(data.sum(1).astype(float), axis = 0).plot(kind = 'bar', stacked = True, figsize = (15, 5), color = ['orange', 'crimson'])\n",
    "plt.title('Weekend vs Revenue', fontsize = 30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Traffic Type vs Revenue\n",
    "\n",
    "data = pd.crosstab(df['TrafficType'], df['Revenue'])\n",
    "data.div(data.sum(1).astype(float), axis = 0).plot(kind = 'bar', stacked = True, figsize = (15, 5), color = ['lightpink', 'yellow'])\n",
    "plt.title('Traffic Type vs Revenue', fontsize = 30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visitor type vs revenue\n",
    "\n",
    "data = pd.crosstab(df['VisitorType'], df['Revenue'])\n",
    "data.div(data.sum(1).astype(float), axis = 0).plot(kind = 'bar', stacked = True, figsize = (15, 5), color = ['lightgreen', 'green'])\n",
    "plt.title('Visitor Type vs Revenue', fontsize = 30)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# region vs Revenue\n",
    "\n",
    "data = pd.crosstab(df['Region'], df['Revenue'])\n",
    "data.div(data.sum(1).astype(float), axis = 0).plot(kind = 'bar', stacked = True, figsize = (15, 5), color = ['lightblue', 'blue'])\n",
    "plt.title('Region vs Revenue', fontsize = 30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1Dmq1DswRU6t1Pf5eZTpP71+7i8rmY+flYxeIj4wFIOzUZewd7bFzMA2UebJLEGs//hkATdNIik20VpEK5F+rHHEXrhF/+TrGDAPHV++ifKuc54mEK1FcP3EZzZj3uOBbrTSuXm5c2HrEWimLR9xj1ziklCoEPAn0w9w4pEwWKqX+UUr9Dvhki7+glJqllNqplNqnlKqjlFqvlDqrlBpkjimtlDpqftxXKfWTUmqdUuq0Uuq9XNvyUkq5KqV+V0odUkodVUp1VUoNx9TAs1kptdkcn6SUmq6U2g00UkpNVkrtNa+zzJx3ZyAQ+EYpdVAp5ayUClFKBSqlBud6/75KqQXmx72UUnvM6yy9Q+OT+Jd0RTwxxt4aVmSMi0YV8cwRo3yKofMOwGX4u7iMmIO+ch1rp3nX7P08yQi/nvU8MzwKe1/PPHEevZ+h4ubl+L35MuHTlwEQ/8cOjClpVN71FZW2f07U8p8wxCdZLfe74eTvTmpYdNbz1PCYrMaf/JTsEUTkX4cAcC3rT0ZCMvU+HUHTDbN4YnIP0CmL53wv7Ly9yIyIzHpuiLyO3idn/dlXKo/e14fUbXm7WjtUq4z/D5/g/7/lRM/6IKux6GFxP/tndkWeeYr41Vstmuu/5efvS9jViKzn4WHX8PMvuIHHza0wLds0ZfuWvPXZvdcLbN64zSJ5/hvFAvy4cjks6/nVK+EUC/DLN3btmm8Iv3qIxMQkVq1ak2f5y327sW79ZovlejfcfN2Jz3Y8SQiPwc3Xo8AYo8FIemIKLu6FiTh+iSqtAtHpdbgX9yagehmK+HsQfeEaXuX8KVrcC51eR5XWgRTxz7uPW4uXnxeRYbeOKVHhUXj5eeWJuR5+6zx4Pfx6Vsz5kxd4snUjAJq1fxqfAO+sOL+Sfixbt5gPfpxL9frVLFmMHNz9PLIacABiIqJxz1Vv7r4exETcqtuY8Gjc/Uwxbl5FiTN/OY2LjMXNqwgAfmUCcC1SiInfT+ftNXNo8kKzrPWVTsfMtXP5OPRzjmw7xNmDpy1VvCwefp45yhkdEYVHruOlh68n0dnKGR0ejYdf3v0t6MUWHAjZn/Xcp4Qv762dz7SVM6lcz3od2S1VdwDl61Ri5h/zGPvlJIpVuNUjVUNj3NdTeHvNHIK6t7JIufLj6edJdNit811MRDSeuerP09eT6Ihsf4/wKDyz1V/3sb1YsvNTnurYlJXzvgHAw9eD+m0a8ufX6yxcgoIV9fUgJtuxMzY8hqK5ylbU14NYc10bDUZSE1Mo5J7zwnKddg25dOw8mTcycXYzXXvvOLobk9a8y6uLRlE4W/3aSiE/dxLDbw3nSwyPobCf+23WyEYpgib1JGSWbYcW/ycZDdb7+Y957BqHgI7AOk3TTgExSqk6wPNAJaA6MABonGudy5qmNQK2AV8AnYGGwPQC3qMW0NW8va5KqRK5lrcFwjRNq6lpWjVzPh8BYUCQpmlB5jhX4KimaQ00TdsOLNQ0rZ55HWegvaZpPwL7gJ6aptXSNC012/v8CLyQ7XlXYKVSqor58ZOaptUCDEDP2/3RxL+VT+NAriuCSqdHeQeQsnACqSvex6nbMHB2tVJ+D0A+VzhjvvqdU0EDiHjvC7xfM3VVdqlZEYxGTjR6iZNN++HV/3nsSzw8vRYAlLpzfd1UvNOTFK1ZhjMfm76YKjsdng0qc2zat2xtOwnXkj6U7NrUkuneu3zLl3O5x+jBxM7Lf66vG0dPEN6lP+G9X6PIy93Bwd4yeT5Id7l/3uRcsyLGtHTST120Vob3JL99VCtgH9Xr9Sz65D0+W/YNly5eybHshS7tqVG7KksWfG6RPP+NeylbcPueFC9ZB0dHB5oH5ez9Nn7ccDIzM/n2258skuddu5vyFBAT+r8Q4iOiGbx6BsFTenNp/2mMBiNpCcn8Nulzui4cTv8fphB75TpGg+0+fN7NMTP/EFPMe6Pn8lyf51i6dhHOhZzJyMgEICYyhm71ezKw7WA+nraESQvH41Lonkfd/yt3sx/ey756k85OR5lq5Xj/5Zm823s6HYd3xq+MqXebZjQyMXg0wxsOoFyt8hSvmHe474N2v3V30wtDu2DMNLLtZ1MvjtjIGAY36s8bwSP58u3PeP2j0TgXcn5ged+OperuwtFzjGj8KhPbjeLPL9YycvmbWcumvzCBSc+MYU6fGbR8qR2V6lupMewu6uZOMd/N+ZpBjfqx7ZcttO3zDAAvTxnA1+98idGGE/bmt9/l3TdvX48BFYrTaVxPvp5gugCk1+vxCPDizL4TzGj/JudCT9FlwksPNO9/Q+VTSXfbcbD2Sy05t/lgjsYlIe7X4zghdXfgA/Pj783P7YHvNE0zAGFKqb9yrfOb+fcRoJCmaYlAolIqrYA5hDZpmhYPoJT6BygFXM62/AjwvlLqXWCNpmkFXbo1AKuyPQ9SSr2BaeiZB3AMWJ3figCapl1XSp1TSjUETmNqANsBvAbUBfaaD67OQGR+21BKDQQGAixdupSXX2hZ0NuJfBjjo7B3v3UVVVfUEy0h50HcGBeF4eJJMBrQYq5hjLyKzisA42XLXzm8VxkR0dj737qya+fvRUZkwSel+NVbCXh7CFfHQpFnm5K0ZT9kGjBEx5Oy/zjO1SuQcfmaNVK/K6lhMebJpE2c/T1Ii4jNE+f9VDUqvt6R7S+8jfGG6ctMWlgM8UcvkHLJ9K8Uvm4fHnXLc+khuqCTGXkdu2zDdPQ+3hiu37o6p1xdsC9XGr/lc03LPT3w/mA610dM5sbxU7e2c/4SWmoaDuXK5Hjd1u5n/7ypSIeniX/IhpT16deNHi+ZRi4fOnCUgGK3etP4B/hyLSLfwzfvfjCV82cv8emSr3O83qRpQ4aNHkjn9n25cSPDconfhcGD+tCvn+naxL59Byle4tZcC8WK+xMWXvDxIT09ndVrNtChQxs2bjKdRnv37sIzwS1p1eZFyyZ+FxIiYiiS7Xji5u9BYmRsvjEJETHo9DocC7uQGmfqUfnH27fqbeCqqUSfN/UYO7kplJObQgEI7N4czco9+Dr2eZZnegQDcOLQSXwCfDB9HAEvfy+irkXniL8eHoV3tiFH3v7eRJtjLp+9zBs9xwFQvEwxGrYwDe/JuJFBhnnfPHXkNGEXwyletjinDlvmeNPypbYEdTP1+jh3+AyeAbfy9fDzzOpNclNMRM4eNB7+nsRdM8UkRMVR1MeduMhYivq4k2AemhMbHs3hmETSU9NJT03nxJ5/KFmlNBHnb00In5KQwvGdx6jRrDZXTl164OVs81IwLc3lPJOrnJ5+XsTkOl5GR0Tn6Gni6e9J7LVbMU07BVG3RSDTut+a+yzzRiZJN0zDdc4dPcu1i+H4lynGuSN5Jyp/EKxRd9mHYB3aHErftwdSyL0wSbGJWdtPiI5n//rdlKtVgZN7LDOzQ9uXgmnRrTUAZw+fxjPAGzieVdb86y/b38Pfi5hrec+J237dwoTPJ/O/+d9RtkZ5Ri4YA0BhDzfqBNXFkGlg75/Wm7g5NiIGj2zHTnd/D+JylS02Ihr3AC9izcdO58IuJJuPne5+HgxZOpbPRi3k+iXTOSQpNpH0lDQOrN8DwL61O2nStbmVSlSwxIgYCmfroV7Y34Oka3k/d+anWJ3yFK9Xidq9W2Lv6oTe3o4byelsfdc6E9qLR9Nj1XNIKeUJNAc+UUpdAMZi6kGjuP0MGunm38Zsj28+z6+BLXuMIXeMuddSXUyNRLOVUpMLeN80c4MVSikn4GOgs6Zp1YHlgNNtcr5pJfAi0An4WTM1qyvgS3NPo1qaplXSNG1qfitrmrZM07RATdMCBw7Mf2I/UTDjpdPovAJQHr6gt8Ou9tNkHt2TIybzyC7sylcHQLm6ofMOwBgdkd/mbC718CkcSwdgX9wXZW9HkfZPk7gx5wcGh9K3vtwVDqrHjQumYSIZYddxbVwDAOXsiHOtSqSfy9mbwdbiDp7FtawfLiW9UfZ6inVsRMSf+3PEFKlWippz+rG7z9wcE07HHjyLfRFXHDxN3Zq9m1Ql8dRVq+Z/JzeOncSuRDHsAvzAzg7XNs1I3XJrgkMtKZkrLTpxtX0vrrbvRfqR41kNQ3YBflkTUOv9fbArXZzM8IdrP72f/RMApSjSrglxD9mQsi8//Z42TTvTpmln1v3+F527PQtAncAaJCYkEXkt7x3xxk4YhptbIaZMeCfH61WrV+adeVN4pcdQoqNsf7Vx8ZIvCazXmsB6rfntt/X07mlqBGtQvw4J8QlE5Gr4cnV1yZqHSK/X065tc06eNH3pbNO6GWPHDKHjC31JNc+rZEtXD53Fs7Qf7sW90dvrqd6hESc25DyenNiwn9qdTPPsVA1uwLm/TY0s9k4O2Ds7AlCuSTWMmQaunzEdT1w93QBwcnOlQe+W7Ftp3eFzv3z5W9ZE0TvW7aB1Z9NFoyp1qpCcmJznC2pMZAwpSalUqVMFgNadW7Ljz50AFPU0XV9TStH79Z6s/srUE7OIRxF0OtPxxr+kH8XKFCP8kuXuqrdxxbqsyYb3/7mHJp2aAVCudkVSElPyNDDERcaSlpyWNXF0k07N2L/BdG4P3biXp8zrP5Xt9f0b9lCpfhV0eh0OTg6Uq1WRsDNXKezhhot5yIu9owPVmtQg7Ixlzo3rV6zNmih675+7aNrJ1FG9Qu2KpCQm51vO1ORUKpjL2bRTEHvN5anVtDYdB3fi3X4zuZF2a346Nw+3rLrzKeGLf5kAIi9Z7lxhjbor4n3rOnDZmuVROkVSbCKOzo44uZo+ijs6O1Lt6ZpcOfngG/VuWrdiLWODRzA2eAR7/txNs6z6q1RgWU31VwmAZp2C2LvBdE70K31rTrZ6repz1XxnwNeaDGCI+WfX2r9Z/tYSqzYMAVw4dAaf0v54FfdBb29HvQ5PcmjDvhwxBzfso3EnU+/susENOfm3aY42ZzcXhn0+np/e+5az+0/mWOfQpv1UamiawL/Kk9UJO237z6Dhh87hXsaPIiW80dnrqdKhIWc2hN7VumteX8ySxiNY2mQkITO/5dhP26Rh6G7JhNQFetx6DnUGVmia9urNF5RSW4AYoJtSagWm+YaCgG8tlYT5zmIxmqZ9rZRKwjShNEAiUBjI797XNxuCoszzJnXGNGws+3r5+QmYCFwEbvaD3QT8qpSar2lapFLKAyisadpDMY5i7JR32HvgMHFxCbTo2Ish/XrTqUMbW6f17xiNpK1agsugaaDTkbF7I8aISzi064nh0mkMx/ZgOBGKXeXauIxbBEYj6b99Dim2nyQvXwYjYVOXUPrL6SidjtgfNpB++hI+I3qSeuQ0iZv24NG7PYWerImWacAQn8SVMfMB01CeYu+NoPy6RaZbof+4kfQTF2xbnlw0g5HDE76g0XfjUHodl74LIfHkVSq/0Zm4g+eI+DOUqpN7ond1ot5y0115Uq5Gs6fPXDBqHJv2DY1/mIhSEHf4PBe+zt0J0cYMRmLeXYDPondApyPpt3VknLtIkUF9uPHPKVK37ixwVcfa1fDu2w0yM9GMGjGzP8IY95Ddje0+9k8A1/rVyIiIeqh6s+X214atNG/1FNv3/0Faaiqjht66Yr9+y4+0adoZ/wBfXh/zKqdPnWNdiOmuOl988h3ffbWKSdNG4+rqwpLP5wGmeX1e6Tks3/eytrV/bKJt2+acPL6DlNRU+vcflbVs394/CazXGldXF37+6XMcHR3Q6/Vs3ryDpcu+AuDDD2bg6OjIuj++B2D37lBeGzrOJmUB0zwYayZ/QZ8V40y3sv9fCJGnr9JiZGeuHjnHiY2h7P9fCJ3nDWFkyDxS45JZOWwBAK5ebvT5chyappEYEcuPo27d8emZKS/hV8U07GjzRz9n9SiyhV1/7aFB8wZ8vf1L0tPSeXfU+1nLlq9fwoA2gwCYP+Ejxs0bg4OTI3tC9rL7L9OX7hYdg3iuj6mxc9sf2/lj5XoAajaszsuj+2AwGDAYjMwf9yGJcdY5Lx78az81g+owd+vH3DDfDv2mmWvnMjHYdIe/zycuZaD5duiHQkI5tNn0hW71xz8x7OMxNO3aguiwKD4abPqbhJ25yuEtB5i9fj5Go0bI9xu5cuoSJSqX4tV5w9AuTV31AAAgAElEQVTpdCidjt1rdnDwr/15E3vAQv/aT+2gQBZsXcKN1HQWjVmQtWzO2vmMDR4JwPKJS8y3snfgYEgoBzabcus3/VXsHOx56+tpwK1b1ldpUJWuo3pgyDRgNBpZNmExSVaaX9BSdVc/uBEterXBkGkkI+0Gi4aZjp9uXkUZscz00Vpvp+PvX7dxeIt17vAV+tc+6gTVZeHWpaSnpvPxmI+yls1Z+wFjg0cAsHziYvOt7B04kK3+eo3rQ0DZYmhGjetXI1k24WOr5H03jAYj307+lBErJqL0Onb8bzNhp6/w7MiuXDxylkMb97H9f3/Rb94wZoYsIDkuiWXDTOfy5i+1xaeUH+2Hd6b9cNPFhvm93yYxOoFV73xNv3nD6Dq5L4kxCXwx1vZl1gxGNk7+ki4r3kDpdRz53xaiT1+lyahORBw+z5mNofjVKMvzy0bgWMSF8i1r02RkJz5rZbtzm3i0qTuNs32UKKVCgHc0TVuX7bXhQBVMPXyaAzf7LH+tadqP5h5GgZqmRSml+pofDzWvewHTZNCFMA0Pq5ZPzBrgfU3TQrLF1wXmYOp5lAEM1jRtn1JqGKYhX+GapgUppZI0TSuULdcZmCbRvoBpmNpFTdOmKqU6AbOAVKAR8AcwRtO0fdlyeELTtLLZttUVGI+p91gG8Jqmabvu8CfUMqLO3SHkv8veqyyJIzrYOg2LKPzBao6WbW/rNCym2rk1/OrXw9ZpWMxzEd9ysc6jO6SzVOjGR37/LO5hvQl1relKzFHsHIrdOfA/KvPGVSaVfnSPLTMufEtQcetNomttm69soFepF+4c+B/19cWf6FLqOVunYRE/XPz1ka+7zqWetXUaFvPjxd8YULqLrdOwmOUXfuC9Ur1snYbFvHHx64frjioP2I1ze6zWAOJQtv5/6m/5WPUc0jStWT6vfZRPaPblpbM9/gLThNS5l0UB1QqIaZ9P/HrzT+73WgAsyPa8UK7lk4BJ+ay3ipxzEzXLtTzPty5N01ZiGnImhBBCCCGEEEKIx9hj1TgkhBBCCCGEEEKIx5P2H5wLyFoeqwmphRBCCCGEEEIIIURO0nNICCGEEEIIIYQQjz6j9BwqiPQcEkIIIYQQQgghhHiMSc8hIYQQQgghhBBCPPpkzqECSc8hIYQQQgghhBBCiMeY9BwSQgghhBBCCCHEo89osHUGDy3pOSSEEEIIIYQQQgjxGJOeQ0IIIYQQQgghhHj0yZxDBZKeQ0IIIYQQQgghhBCPMek5JIQQQgghhBBCiEefUXoOFUR6DgkhhBBCCCGEEEI8xpSmabbOQfx3yM4ihBBCCCGEEI8uZesELCn92Carfad1rNriP/W3lGFl4p4kjuhg6xQspvAHq8mIOmfrNCzC3qssIb5dbJ2GxTS79gM/+Pe0dRoW0yX8Gzb4drV1GhbT6tpKDpR8ztZpWEztS79Sx7+JrdOwiNDw7ZTxrGnrNCzmfPQhRpXuZus0LGbehe9pU6KdrdOwmPWX/6BXqRdsnYbFfH3xJ7qX6mjrNCziu4u/SN39h3138RdeKd3Z1mlYzGcXfmRi6R62TsNiZl741tYpWJZMSF0gGVYmhBBCCCGEEEII8RiTnkNCCCGEEEIIIYR49MmE1AWSnkNCCCGEEEIIIYQQjzHpOSSEEEIIIYQQQohHnqYZbJ3CQ0t6DgkhhBBCCCGEEEI8xqTnkBBCCCGEEEIIIR59creyAknPISGEEEIIIYQQQojHmPQcEkIIIYQQQgghxKNP7lZWIOk5JIQQQgghhBBCCPEYk55DQgghhBBCCCGEePTJnEMFksYhYXP6ynVwemEAKB0ZuzZwY9OPeWLsajXBoW130MAYdp60r963QaYPxqRZ89i6Yw8e7kX55esltk7nvnkE1aL8jJdReh3h32zi0oJfciwPeKkVAa+0BYMRQ3IaJ8csJeXUFRtle2e+QTWoPb03Sq/j3LchnFy4OsfyCq+2o2yPIIyZBtKjE9g3ajkpV6KyltsVcqbt1ve4+sc+Dkz80srZ35lnUE0qzeiL0uu4+s1fXFjwa47lJV99hmI9m6MZDNyITuCfEUtIM5ev/KQeeLeqA8C5eau49utOq+d/J4Wb1qb41AEovY7o7zdw7eNVOZZ79mqL90vt0AxGjClpXB73MWmnLwPgVLkUJWcPQVfYBYxGTnYYg5aeYYti3NbYt1+nSYtGpKWmMWXELE4cOZUn5rVxA3mmcxvcihamSfnWeZa3eKYZcz6ZQc+2/Th+6KQ10r4rU2a/SbOWTUhLTWPM0Lc4dvhEjuVOzk4s+mwOpcqUwGAwsmn9Ft6b/iEA9RvV4a2Zb1C5agWG93+TP1ZvtEURcqjctCYdJ/dBp9exa+Vf/LX4txzL9Q529Jj3GiWqlSE5LokVQz8k9sp1APwrl6TLrP44FXJGM2rMf24imekZ1H62MS2HdETTNBIiY/lmxCKSYxNtUTwABk8bRP3m9UhLTWfuqLmcOXo2T0z56uUZM28Ujk6O7PlrL4unmM59Ez4eR/GyxQFwdStEckISQ9oOpVKtirz+znAAlFJ8Nf8b/l73t9XK1HtqP2oF1SE9NZ1lYxZy4ei5PDGlq5Xl1bnDcHBy4ODmUL6a+qmpHEUKMXTRaLyLe3P9ynUWDHmflIRknnn1ORo/9zQAOjs9xcoXY3Dtl7mRls6k/83AzsEevZ2OPWt38tP8lVYpZ5+p/akVVJcbqeksHvNRvuUsU60cg+YON5dzP19O/QSABsGN6TyyGwHli/PWs2M5d8RU717FfZi7aQFhZ8MAOHPgJJ9OtN5nHUvUXZWGVRm5fBzXL0cCsHfdLn756AcAXNxc6P/uaxSvWAINWD52IWdC8x6TLcES9XeTZ4AX729cwI8ffM/vy37Ns11Lq9a0Fj0mmz5bblu5ibWLc362tHOwo/+8YZSqVpbkuCQWD51H9JXruBYtxJDFYyhToxw7fgzhmymfZq3zxvfTKOpdlBvpNwCY2/ttEqMTrFqumyo0rcEzk19Cp9exb+Vmti7O+VlT72BH53mDKVatDClxSXw/9CPirkSht9fz3Kz+FKteBk3T+H3aCs7vOp5j3V7LR+NR0oeP2rxpzSKJR4Q0DgnbUjqcOg8iZfFbaHHRuIyaR+bR3RivXb4V4uWPQ8vOpHz4BqQmowoVsWHC969jcCt6dHqWCW//dxu4suh0VHinH4defJv0sBjqrp9N1Pp9ORp/rv20nbAVGwDwbBNI+Wl9ONx9pq0yvj2dos6svmztOpuU8Bha/vE2YX+GknjqalZI3JGLbGw7CUPqDcq+1IIak7qza9CCrOXV3uzM9Z0n8tu67ekUld95hdAXZ5IWFk2D9bO5vn4fydnKl3j0ArvbjMeYeoPifVpRYXJPjgz8EK+WtXGrUYZdzd9AOdpT7+cpRG06iCEp1YYFykWno8SMVznTcwoZ4dFUWv0+8Rv2ZDX+AMT+soXor9cB4NaqPsXeeoWzL00DvY7SH47i4oj5pB6/gL5oYbQMg61KUqAnmzekZNkSPNe4G9XrVGX8O2Po88zAPHFb/9zBys9W8cvf3+VZ5uLqTPf+nTmy/5g1Ur5rzVo2oXTZkgTV60CtwOrMeH8Sz7fulSdu+aIV7Nq+F3t7O775eTlNWzzJlk07uHolgrFD32LA0D42yD4vpVO8MP0VlvSaSXxENCN/m8WxDfu5dubW/1uDF4NIjU9iVrMR1OrQiPbjevDV0A/R6XX0nP8a345aRNjxS7gULYQhIxOdXkfHyX14r9UYkmMTaT+uB036tGH9B3kvqlhDvaB6FCsTwMtP9aNy7coMmzWU158dmSdu+KyhfPjmRxwPPcGMFdMJbBbIvpB9zBryTlbMwLf6k5yQAsCFExcZ+sxwjAYjHj7uLF7/Mbs27MJosPzV3ppBdfAr48/opq9RrnZF+s4YyNSO4/LEvTzzVT4dv5gzoacY++UkajSrzeGQA3QY8jz/7DjM6sU/02Hw83QY8gIr3/mK35f+yu9LTV+ya7cIpG3/DiTHJwEwq/sU0lPS0NvpeevHmRwKOcDZA5ZtYKgVVBe/Mv6MbDqY8rUr0m/GIN7q+EaeuFdmvson4z/mdOhJ3vzyLWo2q8OhkFAun7rEvFffof+sIXnWuXYxgvHBefcDS7NU3QGc3Hucua/MyrOt3lP6cXjLAT4aPAe9vR2Ozg4WLydYtv4Aek/ux8GQUEsXI19Kp6PX9P7M7TWdmIgYJv/2Dgc37CPszK3Plk+92ILk+GTGNxtG/Q5P0mVcL5YMnU9Gega/zP2eYpVKUqxiiTzbXjbiIy4cyduAbU1Kp+gw/WU+7zWbhIhoBv82g+MbQrme7dwQ+GIz0uKTmddsFNU7NKLNuO6sHLqAwG7NAVjQdhyunm70+eJNFj87CU3TAHiiTT1upKTZpFz/KcaH7/Pdw+JfzTmklHpeKaUppSoXsPwLpVTne9hegFLqjp9slFJrlVJFb7N8hFLK5W7fN9t6fZVSAdmef6KUeuJet3Ob7V9QSh0x//yjlJqhlHJ8gNvvmD1fpdR0pVTLB7V9S9KVqoAxKhwt+hoYMsk8sBW76g1yxDg0akPG9rWQmgyAlhRvi1QfmMBa1SniVtjWaTwQbnXKk3o+grSLkWgZmUT+sgOvtoE5YrI3HuhdHLNOYA8jj9rlSLpwjeRL19EyDFz+dRfF2tTNEXP9738wpJquOsWEnsHZ3yNrWdEapXH0KkLEliNWzftuFalTnpTz10i9GImWYSDil7/xblsvR0zsjmMYzeWL338aJ39PAFwrFid253Fzj5t0Ev+5iFfzmlYvw+241KpA+oUIbly6hpaRSezqbRRpXT9HjDH7/ujsCOb90e3p2qQev0Dq8QsAGOISH8oJC5u1fYo1P5gat46EHqOwWyG8fDzzxB0JPUZUZHS+2xjy5gC+XPQt6earpw+LVu2C+Gml6erpwX1HcCtSGG9frxwxaalp7Nq+F4CMjEyOHj6Of4AvAFcvh3Hin9MYH5J6K1mrPFEXI4i5HIkhw8CB1X9TrXXO42O11oHsXbUVgMNrd1OhcVUAKj1Vg/ATlwg7fgmAlLgkNKMGSqGUwsHF9BHCqbAz8ddirViqnBq1bsjGVZsAOHHgBK5uhfDwcc8R4+HjjkshF46HmhrNN67aROM2jfJs6+n2T7P51xAA0tPSsxqC7B0drHreqNuqPttXmfI4e+AUrm6uFM1VpqI+7jgXcs7qIbJ9VQiBrRtkrb/NvP62VSEE5joGATR6rgk7f92W9Tzd/GVOb6fHzt4u67hkSdnzPHPgFC4FltOF06Gm3oXbspUz7MwVws+FWTzPe2GNusvOuZAzlRo8Qcj3pl6KhoxMUswNnJZmyfoLbN2AyEsRXDl1Od/llla2VnkiL0Zw/XIkhoxMdq/eQa3WOT+r1G5dj7/N5d+3didVGlcH4EZqOqf3nSDjITu/ZVe8VnliLl4j1nxuOLx6J1Va5/ysWaV1IKGrTMeIY2t3U65xNQB8KhTj7I6jACRHJ5CWkEyxGmUBcHBx5Mn+wWzO1YNfiHvxbyek7g5sB7o9iCQ0TQvTNO2OjUmapgVrmhZ3m5ARQL6NQ0op/W3W6wtkNQ5pmtZf07R/7pTPPQrSNK06UB8oCyy7l5XvkH9HIKtxSNO0yZqm2b4//V3QFfHEGHtrSI4xLhpVJOcXHeVTDJ13AC7D38VlxBz0letYO01RAEc/D9LDbn0BTQ+LwdEv7xfVgJfb0GD3Asq+1YszEz+zZor3xNnPg5Srt8qTEh6Ds597gfFlujcjYvMh0xOlqDmlJ4ff/tbSaf5reesrGsfblC+gRxBRfx0EIPHYRbya10Ln7IC9R2Hcn6yKU4BXgevagoOfJzfCbh1PboRHY++bd3/0eimYJ7YtIWBCX65MWQ6AY9kAQKPcV1Op9Ps8fAY9b62074mPnxfXwiKznkeGR+Ltf/f1UKlaBXwDfNi20XpDdO6Wr78P4VevZT0PD7uGn79PgfGF3QrTok1TdmzdbY307lkRXw/isv2/xYXHUMTXo8AYo8FIWmIqru6F8S7rj6bBwBXjGbVmNkGvdjDFZBr4cdKnjF33HlP3LMa3fHF2r/zLeoXKxcvPk+vZ/ueiwqPw9Mu5P3r6eREVnjPGK9d5olqDasRGxRJ24daX1Uq1KrFs4xKWbljMRxMWWqXXEIC7nwfR2coUExGNe656c/f1ICbiVt3GhEfj7meKcfMqSlykqcEuLjIWN6+cvZ0dnByo0bQ2e//YlfWa0umYuXYuH4d+zpFthzh78PQDL1duHvmU0yNXOT1ylTM6PBoPv5wx+fEu4cvstfOYvHIGleo9sGutd2TJuitfpxIz/5jH2C8nUayCqUeKd0lfEqMTGPj+UGasfZ/+7w7B0fmBXfu9LUvVn6OzIx0GP8+qD6wztDE/RX09iMlWttjwvPWYPcZoMJKamEIh9ztfeH1lzhCmrp1Dh2F33YfhgXPzdSc+27khIZ9zQ/YY07khBRf3wkQcv0SVVoHo9Drci3sTUL0MRcwXKVuO7sKOT34nIy3deoX5r9KM1vv5j7nnxiGlVCHgSaAf5sYhZbLQ3Cvmd8AnW/wFpdQspdROpdQ+pVQdpdR6pdRZpdQgc0xppdRR8+O+SqmflFLrlFKnlVLv5dqWl1LKVSn1u1LqkFLqqFKqq1JqOKYGns1Kqc3m+CRzL5rdQCOl1GSl1F7zOsvMeXcGAoFvlFIHlVLOSqkQpVSgUmpwrvfvq5RaYH7cSym1x7zO0js03mTRNC0JGAR0VEp5KKWaKaXWZHuPhUqpvtnKO1kptR3oopQaYM7/kFJqlVLKRSnVGHgWmGPOpVz2nltKqRZKqQPmXkuf3eyxZN72NKVUqHlZvr3ALE/lfSnXFTOl06O8A0hZOIHUFe/j1G0YOLtaKT9xW/lVH3mveIZ9vp7dDYZxbsY3lBrZyQqJ/Tsq390x/yu4JTs9iXvNspz82PTvW65vSyI2HSI1LMaSKd6f/ApYAL9OTXCrVY4Li0xzpMRsOUzUpgPUX/M21ZcMJ37faYyGh6xbbn7Fy6f+olas5Z+nBhE2+0t8h79oWlWvxzXwCS4Mn8upTuMo2qYhhZ6sYeGE/4V8d9K7XVUxetpw5k1d+GBzekDu5f9Pr9fz0fJ3+GLZt1y+eDXfGFu7m/IUFKPT6ylTrxLfvL6QBZ2nUL1NPSo0robOTk/jXq2Y+8x4ptYfTPiJS7QY0tFCJbgL+RQgbxnzi8n5POi5ZoT8uiXHaycPnmRgy0EMa/863V57EXtH+/vP9y7kn+/dlOnu/hFrt6zHqX0nsoaUAWhGIxODRzO84QDK1SpP8Yol7zHre3c39ZJ//d5+u3GRMQxrNIDxwaP46u3PGfbRKJwLOd9HpnfPUnV34eg5RjR+lYntRvHnF2sZudw0l4ter6d0tbJs+no9k4LHkJ6SRochL9xHCe6epeqv86ju/PHJ6qzebLZgqXpc9vqHTG47mne6vEWFelVo/ELT+0v0X7qr3AuI2f+/EBIiohmyegbPTOnNpf2nMRqM+D9RCs9Sfvyzfp+l0haPiX8z51BHYJ2maaeUUjFKqTpAaaASUB3wBf4BsncPuKxpWiOl1HzgC0yNS07AMSC/WepqAbWBdOCkUmqBpmnZ+za2BcI0TXsGQClVRNO0eKXUKEw9dG42N7sCRzVNm2yO+0fTtOnmx18B7TVN+1EpNRQYo2naPvOym+/zI7ATuDmItyswUylVxfz4SU3TMpRSHwM9gRV38wfUNC1BKXUeqHAX4WmapjUx5+Wpadpy8+MZQD9N0xYopX4D1mia9mP2/JVSTpj+3i3M9bUCGAx8YN52lKZpdZRSQ4AxQP/cb66UGggMBFi6dCnd76aA98AYH4W9+62rjLqinmgJOb9cG+OiMFw8CUYDWsw1jJFX0XkFYLxs+Str4vbSw2NwDLh1BdgxwIMbEQU3jkT+vIOK7w4AFlkhu3uXEh6DS7Fb5XHx9yDtWt7Oij5PVaXK688R8vwMjDcyAfAMrIB3g0qU69sSO1cndPZ2ZCancWSW7a6+5ZYeHp2rvjxJj8g7JMXj6eqUGfEC+56fimYuH8D5D37m/Ac/A1Bt8TBSz4VbPul7cCM8GodsvZkc/D3JiCx4f4z9bRslZg7iknndpN1HMZgn9o3fvB+XauVI2nHY0mnf0Yt9X+D5nqaeI8cOHcc34FZvGh9/H65HRBW0ag6uhVwoV7kMy38yzZHl6e3BB1+8y4i+b9psUure/brSrbfpy9ThA8fwL+abtcw/wJdrEdfzXW/W/MlcOHeJz5d+Y5U8/424iBiKZvt/K+rvQUJkbL4x8REx6PQ6nAo7kxKXRFxENGd3H8+aaPr45oMUr1aatCTTkJXoS6YeVgd/30mLwc9ZqUQmHfq0p133tgCcOnQK72z/c17+XsRcyzmcMSr8Ol7+OWOis8Xo9DqebNuYocHD832/y2cuk5aSRulKpTl92DLn/ZYvtSWoWysAzh0+g2e2Mnn4eWb1JrkpJiIaj2y9nzz8PYkzD+9LiIqjqI87cZGxFPVxJyEq51D4Rh2asPO37fnmkZKQwvGdx6jRrDZXTl16IGXLrtVL7WjezTRB/bnDp/OUMzbX8TJ3OT39PYm9dvsLIJk3Mkm6Ydpvzx89y7WLEfiXCcgz4fGDYo26S802HPnQ5lD6vj2QQu6FiYmIJiY8Oqun1561Oy3aOGSN+itfqyIN2jWmx/g+uLi5omlGMtIz+PPLtQ+wJLcXGxGNR7ayufvnrcebMbHmY6dzYReS45JybyqHOHPZ05LT2P3bNsrULM/fP2257TqWEB8RQ5Fs5wa3fM4NCeaYhKxzgwup5vKtffvrrLiBq6YSdT6CMg2rEFC9DGO2m+asc/UsQr/vJ/FptxnWKZR4ZPybYWXdge/Nj783P38a+E7TNIOmaWFA7j7ON2/PcQTYrWlaoqZp14E0lf8cQps0TYvXNC0NU0NTqVzLjwAtlVLvKqWe0jStoEloDED2W9UEKaV2K6WOAM2BqrcrqDnHc0qphkopT0wNYDuAFkBdYK9S6qD5ednbbSsfd3sJP/s3y2pKqW3m/HveKX9zvuc1Tbs5q+GXmOrqpp/Mv/djauDLQ9O0ZZqmBWqaFjhwYN5JT++X8dJpdF4BKA9f0NthV/tpMo/uyRGTeWQXduVNY4mVqxs67wCM0REPPBdx7xIPnMG5rD9OJX1Q9nb4dHySqFxXLZzL+GU99mxV56FrUMgu9uA5CpXxw6WEN8peT4nnGhK2fn+OmKLVSlH3vX7s6DOX9Gx3udjz2sf8Hvg6a+uP4NC0b7n4w7aHqmEIIOHAWVzK+uFU0lQ+v46NuZ6rvgpXK02VOf059NJ7ZERlu4uHTmHvXgiAQk+UpPATpYgOsX3DSXYph07jWMYfhxKm/dG9w1PEb8h5PHEs7Z/12K1FIOkXTPtj4tZQnCuXRjk5gF5H4YbVSDv94L+c/Rv/++Inurd6me6tXibkj22072L6Yl69TlWSEpMKnFsot6TEZFpUbU/7+l1oX78LR0L/sWnDEMBXn67kmWZdeaZZV/5cu5kXupoawWoFVicxIYnr1/I2fI2e8BqF3QoxfcJ7eZY9TC4fOot3aT88inujt9dTu0Njjm7IeTw5tmE/9TqZTss1ghtw5m/TJOEntxwmoHJJ7J0c0Ol1lGtQhYjTV4mPiMWvQjFcPUzDJyo2qZFjgmtrWP3lGoa0HcqQtkP5e/1OWnZqAUDl2pVJSUwmJveX8chYUpJTqVzb1EG5ZacW7Pzz1pCqOk/V5vLZK0Rla+T0LeGLTm/6iOpTzIfi5Ypz7fI1LGXjinVMDB7NxODR7P9zD006NQOgXO2KpCSm5PliGhcZS1pyGuVqVwSgSadm7Dcfa0I37uUp8/pPZXsdwLmwC5UbPkHon7deK+zhhoubaUYEe0cHqjWpkWPi3Qdpw4o/GB88kvHBI9n35+6sPMvXrkhKYnIB5UylvLmcucuTn8Iebiidue5K+OJXxp9rl/7bdVfE+9ZXlbI1y6N0iqTYROKvxxETHoV/WdPMFFWfrMHV05abp8ca9TetywSGNxnI8CYD+eOz1fyy6EerNgwBnD90Bt/S/ngV90Fvb0eDDk9ycMPeHDEHN+yjsbn8gcGNOPH30dtuU6fXZQ0709vpqdm8LldtNKfS1UNn8Szth7v53FCjQyNO5Do3HN+wnzqdngKganADzpnPDfZODtibhy6Wa1INY6aB62eusufrjbzb4DXeb/I6y7pMI/p8uDQM3Y7RaL2f/5h76jlkbiBpjqmRQgP0mDq0/8ztO7bfHPxozPb45vP8csgeY8gdY+4FUxcIBmYrpf682SMolzRN0wzm3J2Aj4FATdMuK6WmYuq9dCcrgReBE8DPmqZpytQ150tN08bfxfp5KKUKY2qMOYWpgSd7I13unJKzPf4C6Khp2iHz0LNmd3qrOyy/+XfO8ze2GqORtFVLcBk0DXQ6MnZvxBhxCYd2PTFcOo3h2B4MJ0Kxq1wbl3GLwGgk/bfPIcV2t+29X2OnvMPeA4eJi0ugRcdeDOnXm04d2tg6rX9FMxg5Pf5Tanw/0XQr++82k3LyCqXf6EriobNEr99HsX7tcH+qOlqmgYz4JI4PfziHtICpPAcmfMHT372J0us4//0WEk5dperYTsQcOk/4n6HUeKsHdq5ONFr2OgApV6PY0XeejTO/O5rByMnxn1Hn+wkovY6w70JIPnmFcm90IeHQOa6v30+FKb3QuzpR4xPTnWbSrkZx8KU56OztCPx1GgCZSakcGbIAzUpzgNw1g5Erby2j3FdTTbeyX7mJtFOX8RvVg5QjZ0jYsAevvs9QuElNtIxMDPHJXBxl6khpiE8m8pNfqbRmLmgaCZv3k/DX/ju8ofVt37STJi0a8evOlaSlpjF15K2752h970IAACAASURBVHy34XO6t3oZgNcnDabt861wcnbij/0/8cu3a1g69+Gd7wtg84ZtBLVqQsi+NaSmpvHGsMlZy34PMTUi+QX4MHT0QM6cOseazabrVCs++T979x0n0/U+cPxzZpvV1hbbtNVThF01UcISbRNSlCiJEtF7S/QgiBQSnQhJfNMICSLyQ9hFEKL3btUttmKttTtzfn/MWLNNi5lFnvfr5WXn3nPvPM+ce8/MnDn33J9Y/N2vVAx6lrmLPsfNrSANGtdlwLBeNK5ln0s8smMymvhlzNd0WzQCg4OBHUtCiTpxgSYDW3H+wGkO/bmL7UtCaTe1NyPCvuB6wjUW9Z0OQPKVJDZ+9TsDV05EazgSuocjoXsAWDNtGX2WjMWYmkb8xRh+HDIn13LcseEfqtWvxtd/LSQl+QZTBn+evm72/82kV5M+AMwYMZMhUwfhnMeFnaH/8E/o7S96dZvXJcwyEfUtFao9y5u9WpOWlobJpJkxchZX4u1zy+m9G3ZRKbgyUzbN5qbldui3TFw9hZEhgwH4euQ8ulluh74vbDf7Qs13dvpt9i/0nT2Eum82IPZSDNN73r4zadXGNTiwaR8pybc/5hbydqf71L4YDAaUwcD2VVvYa4e2Z8+GXQQGV+GLTXNJSU5h3pDp6es+Wv15+t3GFo6ca7kVugt7w3axN3RXei6dxnWloIcb7309mvDDZ5jcYRxP13iWVoPaYkwzYjKZWDBiboZL6GzJVnVXPeQFGrzVGGOaidQbN5nV9/Z7/rcffEXPaQNwdHIk+lxUhue0JVvV36PAZDTx3ZivGLRoFAYHA38t2cClExd4beCbhB84xd4/d7JpyXq6Tu3HR2EzSEq4xry+t9ueT/6aTZ78rjg6ORLUqDpT3/6QmIuXGbRoFA6OjhgcDBzesp+NP+bO9Kwmo4nfxnxDp0XDUA4Gdi8JI/rERRoMbMnFA6c5+ududi0Jo+XUXgwKm0pyQhI/9TWP+M3nVZBO3w5Da82VyHiWDsq99l88mdT93AFCKdUdqKy17m61bCPmkUI1MXfWeGMe7dPVcslWOOYOmRhLh0ZVrXUfy7bhmOf7yY/5sqgK2ZRZBXymtQ6zKu8MxGmtbyilXgM6aa1fs4yoaa61PmPZ9prWOr/l70LAMcydMg7A38BSrfVYpdRvwFSt9a25isKwXGamlHLHPLLmLPC+1nqHMt8ZbAXmy8qilVIeQAGt9dkcXjfr1yA/MAcwaa07KqWKAZsxj/LJA+wFxmmtv7HezrKfGMwTT8cDq4GLWutb8yDt1lp/bSn3DbDK8u84UF9rfdKyfI/WelqmmKpaXuN6Odc+APrqgGZ3KfL4KvDFb6TGnM7tMGzCyasUYT6tcjsMm6kX9TM/+7XP7TBsplXE96zzeTO3w7CZhlGL2VPcvpfG2FPQuRVU9qud22HYxO6Ivyjp+Wjdte5hOhO7j0EBD+XeG4+kqeE/0bhY09wOw2bWnP+Dt0rkXgehrX139hfalsjFOads6Mezy6XuHmM/nl3OOwG5N+mzrS0MX8rIgHa5HYbNTAz/4d4nqXwM3dj2o91ugZnnhbaP1Wt5v6NF2gKTMy1bBjwNnMB8uddxwNYXcD6HeQJmE5CKeR4dMN8B7A+lVITWOth6A611glJqviXGcMB6fOI3wFylVDLwQqbt4pVSh4FntNY7LMsOK6VGAWuVUgZLDL0xdyDlJNQy4siAeaTVh5Z9nVdKLQH2Y34N99xhH6OB7ZbnOQDcmpb/J2C+Mk/Knd4SWzrPOgM/K6UcLTlnN8eTEEIIIYQQQggh/qPuq3Mou5ElWuvp2RS1Xh9g9fc3mDtiMq+LASrkUOaVbMqvsfzL/FwzgBlWj/NnWj8KGJXNdsvIODdRvUzrXyETrfViMs4HlCPr1yCH9e9xe9LrHLfTWs/BPOooc7ktWN3KHuhktW495sm9c9y3ZSLueneKUQghhBBCCCGEeKw9hnMB2cuDTEgthBBCCCGEEEIIIZ4QuTMJ8RNKKbUdcMm0+G2t9YHciEcIIYQQQgghhBAWMnIoR9I59BBprWvkdgxCCCGEEEIIIYQQ90M6h4QQQgghhBBCCPHE09qY2yE8smTOISGEEEIIIYQQQoj/MBk5JIQQQgghhBBCiCefzDmUIxk5JIQQQgghhBBCCPEfJiOHhBBCCCGEEEII8eTTMnIoJzJySAghhBBCCCGEEOI/TEYOCSGEEEIIIYQQ4skncw7lSEYOCSGEEEIIIYQQQvyHKa11bscgHh9ysAghhBBCCCHEk0vldgC2lLz+S7t9p3Vt0O2xei3lsjJxXw6WeiW3Q7CZCqdXEebTKrfDsIl6UT+TGnM6t8OwGSevUlwb+npuh2Ez+T/99Yk/946UDcntMGzm6ROreaFIcG6HYRPbLoZSwef53A7DZg5G/U2fgDdzOwybmRm+mFeLP7lty4pzq2hX4sl9b/jh7K+8UaJ5bodhE7+cXUnLJzQ3gKVnVz6xdQfm+usZ0Dq3w7CZOeFLGBXQLrfDsJkJ4T/kdgi2JRNS50guKxNCCCGEEEIIIYT4D5ORQ0IIIYQQQgghhHjyyYTUOZKRQ0IIIYQQQgghhBD/YTJySAghhBBCCCGEEE8+mXMoRzJySAghhBBCCCGEEOI/TEYOCSGEEEIIIYQQ4skncw7lSEYOCSGEEEIIIYQQQvyHycghIYQQQgghhBBCPPlk5FCOZOSQEEIIIYQQQgghxH+YjBwSQgghhBBCCCHEk0/uVpYj6RwSuSL/i5XxG9MNDAbil6wlZu7SDOvd2zXF8+2X0UYTpuvJXBoxk5ST58HRgSIf9cO1QmlwcCDh1w3EzPk5l7K4Nx7BgZSZ0BnlYCDi+/Wcm7E8w3r/Dg3xf6cJGE0Yk25wbMg8rh+/kEvR/nujJk1l05YdeLgXYvl3c3M7nPvmUD4Il+ZdwGAgdcefpIb+kqWMY8WaODdqg9YaU0Q4KT98jsE/AJc3eoCLK2gTqeuXkrZvi/0TuIsHPffcXq2HV9c30svleSqAU836c+PIGXuncEf56lTBZ1R3lIOBhCVriP0yY/tQqG0I7u1fAZMRU9INIkZP5+bJ8+DkiN+HfclToSyYTERNmMf1HQdyKYs7Gzi+LzXr1+BG8g0+HPgxxw+eyFKm+/tdaNqyEQXcCtCgXEj68jbdWtG8bQjGNCMJcYlMHPQJkRej7Bn+HQ2fOIg6DV7gRnIKI/t9yJEDx7KU6Te8B81bNaVgoQJUL1U/w7rGzRvQa8i7aK05dvgE7/f8wF6hZ+vpupVoOaYTBgcDWxdvYN2cFRnWOzo78vbU3hSvUIqkhKss7DONuAuX09e7+3syat1UVn/xM+vnrwKgXuem1GzTAKVgy08bCFu42q45ZdZ1XDeqBFclJTmFaYO/4PTBU1nKlH6uNP2mDMQljzO7Qncy/4MvM6x/rdvrdB7VhbcqteNq/BXyFsjLwGlDKOxfGAdHA8vn/cr6n/+0V0p0GNuFwOAq3ExOYe6QGYQfPJ2lTMkKpeg+pR/OeZzZG7qLRWMXAJDPLT/9Zg2mcFFvLl+IZnqvz0i6kkS+gvno9mkffEr4kpqSyryhM7lw/BwA0/6aR3JSMiajCZPRyKhmQ+2Wa5exXalsqb+ZQ77gdDa5lqpQmr5T+uOcx4XdoTtZMHY+AG0Ht6dawxpok4nE2ERmDJ5GfHQceQvkpf8XgyjsXxiDowMrv/yVDT+vt1tOt7wztitBwVW5acntTA659bbktid0Jwstub09ohNVG1QnLTWNyLMRzBo6netXknB0cqTbpF6UrlgGbdJ8PW4+h/4+aO/UANvU3S1lKpbho+WfMrXPp2xbvdVuOd3yTN1KtB5j/uy8ZfF61mbTdnac2ie97fyqzxfEXbhMiUqlaf9RdwCUglVf/My+Nf8A4FowL29N7oF/+WJorfnfe3M4szvr+6c9lK1bkZAxHTA4GNi1OJRNc37LsN7B2ZGWU3viX6Ek1xOusbjPdBIuxODg5MCrk97F/7mSaK1ZPW4RZ/4+AkCXn0aRv3Ah0lJuAvDN25NJir1i99zE400uK7NQSl27hzJ1lFKHlFJ7lVKudoorUCkVYvW4uVJqmA2e5675PzQGA/7jehLe+QNONu6FW7O6uJQplqFI4sowTjbtw6lX+hEzbxm+I98FwC2kNsrZybyu+QA82jbBqYi33UK/bwYDZSd3YX+7ieyoMxDv12uRt1zRDEWifvmLnfUGs7PBUM7NWkGZcR1zKdiH47WQhsydOiG3w3gwyoDL691IXvAh1z/rh2NgbZR3xvpSXn441W/B9VnDSZ7Sn5srFgKgb97kxk/TSJ7Snxtfjce5+TuQJ29uZJGzf3HuJa4I49Qr/Tj1Sj8uDJ5C6oXoR65jCIMB37G9OP/uGE417UHBV+rinCm/K7+FcuaVXpxp3pfY+UvxGd4VAPfWTQA480ovznUaiffwd82fLB8xL9SvQbGSRWhV+y0mvz+F9z4amG25v9ZtpcvLPbMsP37wBJ2b9uDthu+y4feN9B7V3dYh37M6DV6geMlihDzfirFDPmL0J+9lWy5s7WbaNHkny/LiJYvxbr8OvN2sG6/VbcfHo7+wdch3pAyK1uPfYXanj5jQcBBVmtfCt0yRDGVeaF2f5MQkxtXrT+iC1bw6rF2G9S1Gd+RQ2N70x37lilGzTQM+fXUEHzV9jwr1K1M4wNcu+WSnSnBV/AL86fFiN2YNm0nPib2yLddjYm9mD5tJjxe74RfgT+V6VdLXefl5EVgniOgL0enLQjq8zPkT5xjQpC8jWw+n8+guODrZ5/fMwODK+Jb0Z1DdXnw1fA7vTMj+HHlnYg8WDJ/DoLq98C3pT6V6lQFo3usNDm45wKB6vTm45QDNepk71V/t05Kzh88wrMlA5gyaRoexXTLsb2Kb0YwIGWTXjqHKwVXwK+lP77rdmTt8Ft0mZG0zALpP7Mmc4bPoXbc7fiX9CbLkunzeLwxq0o/BIQPYuf4fWvd/E4CmHV7mwonzDGranzFvjqDjqHfsVn+3BFly63uX3LpO7Mm84bPomym3/Zv3MrBRHwY36UfEmUu80aslAC+1bQTA4Mb9GP/WGDqMegeVC+8Vtqo7AIPBwNvDO7F30x675JKZMijajO/CzE6TGN9wINWyaTtrtq7P9cQkPqjXjw0Lfuf1Ye0BuHTsPJObDWNSyHvM6DCJ9hO7YXAwf91t/UFnDm/cy7gGA5nYdCiRJy/aPTcw59dsfGcWdfqE6Q2H8lzzmhTOlF+V1vVITkzi83qD2LrgDxoPawtA1TbmH0RmNhnGN299RJORb2U4/n4eMItZISOYFTJCOobuxGSy37/HjHQO3Z/2wGda60CtdfLdCiulHB7CcwYC6Z1DWuuVWuvJD2G/uca1UjlSzkaQej4KnZpG4qpNFGj4fIYypmu3X15D3jygtfmB1ubHDgYMeZzRqWmYrl23Z/j3pWDlMiSfieTG2Wh0ahrRy7fg1aRqhjJGq1wd8rqgb+X6mKoa+BxuBQvkdhgPxFC8LKaYCHRcFBjTSNv7F47PVs9QxqlGQ1K3/gHJSQDopETz/zGX0DER5r+vxKOvJaLyu9k3gbv4V+eelULN6pLw20abx3u/XCuW4+bZS6Sej4TUNK78vokCDV7IUCZrfua/ncsUJ2mr+Uu4MS4R05Uk8jxX1m6x36sXG9fij6VrATi0+wj53fLh6e2Rpdyh3UeItfoV+JbdW/eSciPFXGbXYbz9Cts24PsQ3ORFVv5sHgWzf9chChTMj5e3Z5Zy+3cdIiY6Nsvylm+9yk9fL+NK4lUA4mLibRvwXQQEliHmbBSx56MxphrZ/dtWKjaqlqFMxUZV2b7MfC7tWf035WtWyLAu5lwUkSfOpy/zLVOE8D0nSL1xE5PRxMnth6nUOGMbZU/VG9UgdNkGAI7vOUa+gvlw93bPUMbd2528+V05tvsoAKHLNlCj8e12p8sHXflm0tcZ3vs04JrP/BtcnnyuXEu4ijHNaONszKo0rM7mZaEAnNxznLwF81EoU06FvN1xze/Kid3mkW2bl4VStVH1LNubl9cAoEjZohzaYh6NeOnURQoX9aagV+6+R1RvWIMwS6x3qj/X/Hk5bsk1bFkoNRqZ6y/Zqj3NkzeP1Uc1jWt+6/q7Zrf6u6WaVW4n9hzLsR7zZsqtmiW3fZv3YjKav9gd33MMTz9zW1S0bDEObN0PwJXYRK5fSaJ0xTJ2ycmareoOIKTTK2z7YyuJMYk2ziJ7AYFluHw2khhL27nzt61UytR2VmpUlb+XhQGwe/XfPGVpO2+1jQBOLk7p7Uqe/K6Uqf40Wxab2ytjqpHkK7nz/aFoYBliz0YRb8nvwG/beLpRlQxlnm5UlT3LNgNwaPV2SlnyK1y2CKe2mEeqJcVe4caVJPwrlrJvAuKJJp1DmSil6imlwpRSS5VSR5VS3yuzd4HWwBirZZ8qpQ4qpQ4opd602j5UKfUDcEApFWDZz1eWst8rpV5SSm1RSp1QSlW3bFddKbVVKbXH8n95pZQzMB540zJa6U2lVCel1EzLNiWUUuuVUvst/xe3LP9GKTXdsp/TSqmWluX5LeV2W2J+NRdeYpx8PUmNuD1sPi0iBiefrF8APN5+mXKh8/F9vzMR481D0BP/2ILp+g2e+vt/lP/ra2Lm/4Ix0X6Dnu6Xi68HKZduf4lJuRSHi2/WXP07N6bG9hmUGv0WJ0cutGeIwooq6IFOiEl/rBNjUW4Z68vg5Y+hsD+uvSfh2mcyDuWDsuzHUKwsysEJHRtp85jvx78596y5vVyHxN822TTWB+Ho60laxO36S42MwTGb/Nzbv0Lp9Qvwfu8dIj80X/qYcvQ0BV56HhwMOBX1IU+FMjg9Qh0ntxT29SLq0u0RFpcjYijs6/VA+2rWNoRtodsfVmj/mo9fYSIv3s4tKiIan/uogxKli1GiVHH+99uXfL/6K2oFP3/3jWzIzceDeKv2Pz4iFjcf9xzLmIwmkq9eJ597AZxdXWjY41VWT8t42eelY+cpU/0p8hXKj1MeZ54NDsLdL+sxbi+evp7EWJ1zMZGxeGZ6j/P09SQ28vbrEGtVpnrD6sRGxhKeaRTi6m9WUaxMMb7euYjpa2cyf+yXdvvhxN3XkzireouLjMXdJ2MHrLuPB3FWOcVFxOJuycnNqxAJ0eaOyYToeNwsHUDnDodTran5mCxdqSxeRQqnvw4azbDvPmDiqs+o37ah7ZLLxMPXk5hLt98TYiNj8cjUZnr4eBIbebuOYyNi8LCq43ZD3+LLbQt48bW6/DT1ewBWf/s7RcoUZcE/3/D5muksHDff7j98efp6EmuVW1xkLJ6ZcvPMlFtcREyW4xegfuuX2B22G4Dww+FUb1gDg4MB72I+lKpQGk//B2uD/w1b1Z2Hjwc1Gj/P2u/+z8YZ5KxQNm1noUznYKEc2k4wdy6NXjuFUWum8MOo+ZiMJryKe3Mt9godPuvFiN8/5q3J3XF2dbFfUlYK+riTaJXflYg4CmbKz7qMyWgi5ep18roXIPLIOZ5uWBWDgwH3ooXxf64kbn63t33j0+70Xj2Jen1ft08yjyttst+/x4x0DmUvCBgAPAOUAmpprb8CVgJDtdbtgTcwj+qpBLwEfKqU8rNsXx0YqbV+xvK4DDANqAg8BbQDagNDgBGWMkeBF7XWQcAYYJLW+qbl78WW0UqLM8U5E1ikta4IfA9Mt1rnZ3mOV4BbI41uAK9rrSsDwcAUlRtjYbOTzYeGuP/9zvHgrkR+8g2Fe5uHu+atVA5MJo6+0IFjdbvg9e7rOBXzsXe09y6bV1eTNddLX69he42+nJ7wPSUGtrBDYCJb2Z0OmY9NgwMGLz+S54zmxvdTcWnZK8PlY6qAO3na9OfGkhnZHtePnHs8925xrVQO040UUo6ftVeE9+Ee6g+I/34Vpxp0IfrTr/Hq1QaAhKVrSY2MoeSv0/AZ2Y3k3UfQdv6l+55kc4w+yGHW+I2XeKpSeb6fk/ltJfeobOrvfr5QOjo6UKJUUTq/3pP3eoxm3NQRFCiY/2GGeF+yfXvVmctks6HWvDywFRsW/M7N6ykZVkWdusi6uSvp890oen87gotHzmI05t5xem91lv0x65zHhVZ93uSHKd9lWR9UtzJnDp+mc9UODGjSj+7je6SPRLG1nOokY5l7a2usrZzzC/kK5mPS6qk06hRC+KHTGC0jHMa+MZyRLw/h444f0rBDU56q/swd9/WwZJ9G5lzvXOaHT7+j2wtd2LR8I007vgxAUN0gwg+doUu1TgxuOoB3x3e3W/2lu4fc7qXMG31aYUwzsvnXMAA2LFlHbEQMH/82lc5j3uXY7qOY0uz/BdBWdffOB1353+RvMeXi5TDZnV9Z6y7nczB870k+bDSYj5sPp0nP13F0ccLg4ECxCiXZ9N1aJr38PinJKTTu+Zotwr+7B8xPa83uJWEkRsbS87cJhHzwNud2nUgfKbWk/yxmNhnG/FbjCahWnsA36tgkfPFkkwmps7dDa30BQCm1FwgA/spUpjbwo9baCEQppTYC1YArlu2tfwY7o7U+YNnfIWC91lorpQ5Y9g3gBnyrlCqL+eOj0z3E+QLmTiqA/wGfWK1brrU2AYeVUrd6TxQwSSn1ImACigA+QI7DG5RS3YBuAPPmzaPmPQR1N6mRsRl+kXf08yI1m8sfbkn8bRP+H/bi4lBwa16Xaxt3QZoRY2wi13cdwfW5sqSef3QmVLWWEhGHi//tX2lc/D24GZlzrtG/bqHcx12BWXaITmSmE2NRhW7/AqjcPNFX4rKUMZ47BiYjOj4a0+VLGLz8MV04CS6u5HlnJClrfsB07ri9w7+rf3Pu3eLW7EUSH8FLygDSImNw9Ltdf06+XqTdIb8rqzbiO643Ee8DRhPRk+anryux+DNuns2d+Qgya9HxNZq3N39wP7L3KD7+t+dZK+znRUxUTE6bZqtancp06vcWvVoMIPVm6kON9X616dyClm+ZB7Ee3HsEX6s55Hz8vImOvPfcoi5Fs2/XIdLSjFw8F0H4qbOUKFWMg3uPPPS470VCZCzuVu2/u58nidHxmcrE4e7vSUJkHAYHA64F8pKUcI0SgWUIDKnBa8Pb41owH9qkSU1JZdOiNWxbEsq2JebLSZoNbUNCRM7HuC2EdHiZhm0bA3By/wm8rM45L19P4qIyxhMbmXE0hqevJ3FRsfiV8MW7mA9f/N8M87Z+Xny++guGNB9Eg1YvsWyOedRU5NkIos5HUbR0MU7ss0272rBDU4LbmEfsnN5/Eg+revPw9SQ+U73FRcZmGIHh4edJvCXvxJgECnm7kxAdTyFv9/RLc5KvJTNv6Mz0bab9NY/Lls8ut0YaXYlNZOea7ZQOLMvRHYdtkCk06RBCwzbmeXNO7j+Bl39hwHyOePp6ZpiUGG6N9Lpdx55+Xum5Wtu8YiMjvx7D4s9/pH6rBvwyexlgrr/o81EUKV2Uk/tsO/lvkw4hNLDkdmr/CTytcvPw9STuLrl5+HllOH7rtqhPlQbVGNd2VPoyk9HENx8uSH888ZePiQi/ZIt0srBH3ZWuWIZBM4YAUMCjIFWCq2BMM7Jjrf1GmcbfU9sZm23baS3y1EVSkm/gX64YCZGxJETGEr73JGC+jLdRLnUOXYmMw80qv4J+HlzNlN+tMlcs+bkUyEuyJb8/Przdod5t2Vhiz5i/xl2NMu/jZtIN9q3cStFKpdn7y2ZbpyOeMDJyKHvWP9UZyb4T7U4jbpLusD+T1WOT1b4/BEK11hWAZkCee472NutuZ+vnvBVre6AwUEVrHQhE3e15tNZfaq2raq2rduvW7QFCyip5/3FcAvxxKuqDcnLE7ZUXufpnxjcd5wD/9L8LBFfjpuWNN/XSZfLVrGhOytUF18DypJx+dO/sdXXPSVxL+ZGnuDfKyRHv12oRs2ZnhjKuJW9PJurZsDLJpyPsHaawMJ0/gcHLD+XuDQ6OOAbWxnj4nwxl0g5tx6H0c+YHeQtgKOyPKS4KHBzJ03EYabvCMO63/5097sW/OfcAUAq3prVJeAQvKQNIPnAcZ0t+ODlS8OUXubr+7wxlnErczi+/VX4qjwvKMsQ8X60gMJrMdzF7BCz7djkdG3WlY6OubFqzhaYtzV8Onq38NElXkrKdWygn5Z4tw3uTBzG080jiYxNsFfI9++nrZbRs0IGWDTqw4Y+NNG9lnmKvYpVnuXb1WrZzC+Vk/R+bqF7LPNlqIQ83AkoV53wudvCd3XeKwgG+eBYtjIOTA5Wb1WT/uozt/4F1O6nRoi4AQSHPc3zrIQC+aD2WD2r35YPafQlbuJq1s35l06I1AOT3LAiY72RWqUl1dq60710RVy/6nYFN+zGwaT/+XrON4BbmCVLLBZUn6er1LB0p8dHxJCclUy6oPADBLeqzY+12zh47S8fKb9GtVhe61epCTEQMA0MGkHA5gcuXLlOxViXAfJlWkdJFiTxnu8t01y36gxEhgxgRMoida7dTp0UwAGWCypF89Xp6580tCZacygSVA6BOi2B2rdsBwO4//0nf3np53oJ5cbBMyhzcpiFHdxwi+VoyLq4u5Mln/ijm4urCcy8Gcv7YOZvl+n+LVjM4ZACDQwawY+126lliLRdUnus51N8Nq/qr1yKYHevM7xt+AX7p5ao1rM7FU+bPY5cvxmSoP/9SRYiyYf1Z5zY0ZABDM+VW1pJbTvVY1iq3fyy5BdatzGs93+DjLhO4eeNm+jbOeZxxsbxXVKwdiDHNxIUT9nmvsEfd9azdlR6Wf9tWb+XL0XPt2jEE5rbTO8Avve2smk3buX/dLp5vUQ+AyiHPc8zSdnoWLZw+AbVHES98SvkTe+EyVy4nEn8pFp9S5rzL13qOyBO58/3h4r5TeAb44m7J77lmL3B03a4MZY6u20VQC/PIn2dDanDakp9TMq52aQAAIABJREFUHmecLMdf6doVMKUZuXzyIgYHA3ktl9UZHB0oXz+IqOOPxmeYR5JMSJ0jGTn04DYB3ZVS3wIewIvAUMyXjT0IN+DWp9hOVsuvAjnN7rsVaIN51FB7so5uyu45orXWqUqpYKDEA8b67xhNXBo7l4Bvx6MMBuJ/XkfKiXN4D2hP8oETXF2/A4+3XyF/rUroNCPGxGtcGPI5YL7cpcgnAyjzf7NAKRKW/knK0fBcSeNeaKOJE8MXUPGnkeZb2f8YyvVjFwh4702u7jtF7JqdFOnSFPc6z6HTjKQmXuNIv5l33/EjbOgHk/lnz34SEq7Q4LW36NXlbVo0a5zbYd0bk4mU5fNx7fqB5Vb26zFFnce5UVuMF05iPPwPxmN7cCgXSN4h09EmEzdXfQvXr+JYuS4OpZ5B5SuAYzXzl6WUxdMxXQrP3Zys/YtzDyBf9QqkRsY8siP1MJqIHDeHYgsnmG9lv3QtN0+ew6v/W9w4cIJrG7bj8XYz8tUMRKelYUy8xqX3pgDg6OlGsYUTQJtIi4zl4pDPcjmZ7G1d/zc169fg5y3fkZKcwoRBH6ev+3btfDo2Mt99rffI7jR6vQF5XF1YsXMJK3/4nQVTv6XP6B7kzefKxHljAYi6GMV7nUdl91R2t+nPrdRpUJM/ti8lOfkGo/vfvuvh0vWLaNmgAwCDRvch5I1G5HHNw597VvLL9yuZ/dlXbAn9m5r1arBi048YTUamjJ9BYnzu3a3FZDSxZMxCei8agXIw8PeSMCJPXODlga04d+A0B/7cxdYloXSY2ocPwqaRlHCNr/tOu+t+350ziHzuBTCmGVkyeiHJVzL/HmU/uzbspGpwVeZunk9Kcgozhty+Q9znf0xnYNN+AMwdOZt+UwbinMeZ3aG72BW6M6ddArBk+k/0mzKAaWtnopTi24++5qqd6nLvhl0EBlfh801zSElOYd6QGenrJq2eyoiQQQAsHDmPHpZb2e8L283eUPOcNCtn/0K/2UMIfrMBMZdimNbzUwCKlClGz6n9MBlNXDh5gfmWUURuXoUY+OX7ADg4OrBlxWb2b7TPXaJ2bdhJ5eAqzN40z3I79NuzE0xZ/QWDQwYAMG/kHMvt0J3ZHbab3aHmL7JvDetIkVJFMJk0ly9GM2/EbAB+nr6YvlP68/ma6Sil+N/kb7kaf9UuOd2y25LbTEtus61y+3T1Fwy15DZ/5BzLreyd2RO2mz2W3LqM746TsyOjvxsPmCe1/nLkHNy8CjFq0Vi01sRFxjJ94FS75nWLreruUWAymvhpzEL6LhqJwcHA1iWhRJy4wCsDW3PuwCn2/7mLLUs20GlqH8aFTed6wjUW9DW3PaWrPUXjnq9hTDOiTSZ+Gr2AJMuxt3jsQjp/0Q8HJ0dizkfzvyG5k7PJaGLVmG/ouGiY+Vb2S8KIPnGRBgNbcvHAaY7+uZtdS8JoObUXA8OmkpyQxOK+5nYon1dBOn47DK01VyPjWTpoDgAOzk50XDQMB0cHlIOBU1sOsvPHDbmSn3i8qcf9zkgPi1LqmtY6v1KqHjBEa/2KZflMYKfW+hul1DfAKq31UstcPZ8ATTGP2JmgtV6czfYBlm0qWB5b7yN9nVLqBeBb4DKwAXhbax2glPIA1mC+zOwjwBWoqrXuY9l+IeBl2a6z1vqc9XNkys0L+M2yr71ALaCp1jr8Vpm7vEz6YKlXHuTlfSxUOL2KMJ9WuR2GTdSL+pnUmNO5HYbNOHmV4trQJ3fyvfyf/sqTfu4dKRty94KPqadPrOaFIsG5HYZNbLsYSgWf3J342ZYORv1Nn4A3717wMTUzfDGvFn9y25YV51bRrsST+97ww9lfeaNE89wOwyZ+ObuSlk9obgBLz658YusOzPXXM6B1bodhM3PClzAqoF1uh2EzE8J/eDTmpLWR5F8m2a0DxPWNEY/VaykjhyxudYxorcOAMKvlfaz+7mT1t8Y8UshqNo5stw8HKlg97pTdOq31NqCc1a5GW5bHYZ7LyNo3VtvXzyaXTpke38otBvM8RVncQ8eQEEIIIYQQQgghnkDSOSSEEEIIIYQQQogn32M4F5C9yITUQgghhBBCCCGEEP9hMnJICCGEEEIIIYQQTz4ZOZQjGTkkhBBCCCGEEEII8R8mI4eEEEIIIYQQQgjx5JO7tedIRg4JIYQQQgghhBBC/IfJyCEhhBBCCCGEEEI8+WTOoRzJyCEhhBBCCCGEEEKI/zAZOSSEEEIIIYQQQognn4wcypGMHBJCCCGEEEIIIYSwM6VUE6XUMaXUSaXUsGzWf66U2mv5d1wplWC1zmi1buW/jUVGDgkhhBBCCCGEEOLJpx+dkUNKKQdgFtAQuAD8o5RaqbU+fKuM1nqgVfm+QJDVLpK11oEPLR4tt3IT904OFiGEEEIIIYR4cqncDsCWkr8babfvtK5vTbzja6mUegEYq7VubHk8HEBr/VEO5bcCH2it11keX9Na539Y8crIISGEEEIIIYQQQjz5Hq05h4oA560eXwBqZFdQKVUCKAlssFqcRym1E0gDJmutl/+bYKRzSNyXFb7tcjsEm3k18gd+9muf22HYRKuI77k29PXcDsNm8n/6K6kxp3M7DJtx8irF//m0ye0wbKZJ1E/sLvZqbodhM5XPr6Bxsaa5HYZNrDn/By8WaZDbYdjMpovr6R7QKrfDsJl54T/TskTz3A7DZpaeXUm7Ek/ue98PZ3/lzRKv5XYYNrH47HJalXhy3xd+Prviic+v6xPcds4P/5khAW1zOwyb+Sz8x9wO4YmhlOoGdLNa9KXW+kvrItlsltPIpjbAUq210WpZca31JaVUKWCDUuqA1vrUg8YrnUNCCCGEEEIIIYQQD5GlI+jLOxS5ABSzelwUuJRD2TZA70z7v2T5/7RSKgzzfEQP3DkkdysTQgghhBBCCCHEk09r+/27u3+AskqpkkopZ8wdQFnuOqaUKg+4A9uslrkrpVwsf3sBtYDDmbe9HzJySAghhBBCCCGEEMKOtNZpSqk+wBrAAViotT6klBoP7NRa3+ooagv8pDPeTexpYJ5SyoR50M9k67ucPQjpHBJCCCGEEEIIIcST79GakBqt9WpgdaZlYzI9HpvNdluB5x5mLHJZmRBCCCGEEEIIIcR/mIwcEkIIIYQQQgghxJPvERs59CiRkUNCCCGEEEIIIYQQ/2EyckgIIYQQQgghhBBPPi0jh3IiI4eEEEIIIYQQQggh/sNk5JAQQgghhBBCCCGeeNqk717oP0o6h0Su8A6uyHMfdgAHA+e+D+XEzN8yrC/dPYQS7ethSjNxM/YKewZ+SfKFGABci3gSOKUrrv6egGZb+09IPh+TC1nkzCe4IkHj30Y5GDj9QxjHMuVXtntTSrULxpRmJCX2CjsHzef6hds5OOZ3pcmmT7j4x072jPzWztHfmUP5IFyadwGDgdQdf5Ia+kuWMo4Va+LcqA1aa0wR4aT88DkG/wBc3ugBLq6gTaSuX0ravi32T+BfGjVpKpu27MDDvRDLv5ub2+HcN6/gSjw9oSM4GLjw/QbOzFiZYX1A9xCKtq+PNhq5GXuVAwPmcsNybJYb3Y7CLwWhDAZiN+3nyCN2bAIUrBdE0bFdwcFA7I/riJq9LMN6r7eaULhjU7TRhCnpBueGzebGifM4F/XmmdCZ3Dh1EYCk3cc5P2JObqSQrZ7jelC9fjVuJKcwZdAUTh48laVMmefKMGTqIFzyuLBjwz/M+cB8fI6YPYyipYoCkK9gfpKuXKNXkz7p2xX2L8z8DfP47vPvWTpvWZb92lO/8b15vn4NUpJT+GjgJxw/eCJLmXfff4cmLRuS360ATcq9kr68Uo3n6DuuN6WeLsW4XhPY+Psme4aerWfrBtJ6TGcMDgb+WryeNXOWZ1jv6OxI56l9KV6hFEkJV5nf53NiL1wmoFIZ3vqou7mQglVf/MzeNTsA6PBJT56rX4WrsYmMbzzY3ill8c7YrgQFV+Vmcgozh3zBmYOns5QpVaE0vaf0xzmPC3tCd7Jw7HwA2gxuT7WGNTCZTFyJTWTm4GnER8fhX7oIvT/rT6lnS/PjZ/9j5ZfLs+zTljqM7UJgcBVuJqcwd8gMwrPJqWSFUnSf0g/nPM7sDd3ForELAMjnlp9+swZTuKg3ly9EM73XZyRdSSJfwXx0+7QPPiV8SU1JZd7QmVw4fg6AvAXz0vXj3hQrVxwNfDl0Jid2H7N5np3GvktQcBVSklOYM2R6tnVXskJpelny3BO6i2/GfgXA8yE1aTmwDUXKFGVk86GcPmBukxycHOk2qSelKpZBm0x8M24Bh/8+aPNcstN5bFcqW/KbNWTaHY7NfjjncWF36C6+thybb4/oRJUG1UhLTSPqbCSzhk7n+pUkar9Wl1e7vZa+ffGnA3j/5UGEHz5jt7xusUV+hYt688X6mVyyvBce33Oc+SPt/174bN1A2ljazs2L1/N/2bSd70ztS4kKpbiWcJUvLW3n07Ur0uL99jg4OWJMTWPppP9xdFvG46/3/PcpXNybsY9A+wlQvm4lXh3TAYODge2LQwmdk/FzmYOzI22n9qJohZJcT7jG//pMI/5CDEGv1qJe99vvgX5PFeeLV0Zw6fBZe6cgniByWZmwP4Oi4ked2dbuEza8OJQir9ekQLkiGYokHgxnY+NRhNUfxqVVO3h2dNv0dZVn9OTk7FVseHEoG5uM5mbMFXtncGcGReVJndjc/hP+r+57FH/thSz5JRw4y59NRrGuwXAurNpBxVFtM6yv8H5LLm87as+o740y4PJ6N5IXfMj1z/rhGFgb5V00YxEvP5zqt+D6rOEkT+nPzRULAdA3b3Ljp2kkT+nPja/G49z8HciTNzey+FdeC2nI3KkTcjuMB2NQPDP5HXa2m8xfdQbj93ot8mU6Nq8cDGdr4xFsCX6fyN+2U35MewAKVS2He/XybAl+j7/qDsEtsDQeNZ/JjSxyZjBQbEJ3TnYYx5H6fXB/tQ55yhbLUCRu+UaONOzP0SYDiZr7K0XGvJO+LuVsJEebDORok4GPVMdQteBqFCnpT+c6XZj2/nT6TuqTbbl+k/ow7f3pdK7ThSIl/alaryoAk3pNpleTPvRq0octf/zFlj+2Ztiuxwfd+Cd0p83zuJvn61enaMmitKvdgU/fn8qgj/pnW27rum10f7l3luVRF6OZNPAT/ly+3tah3hNlMNB2fBdmdJrI2IYDqda8Fn5lMraXtVrXJynxGqPr9eXPBat4Y9hbAFw8do5Jzd5nQshQpneYSPuJ3TA4mD+ybVsaxvSOE+2eT3aCgqvgV9KfvnW7M3f4LLpN6Jltua4TezJv+Cz61u2OX0l/gupVBmDFvF8Y3KQfQ0MGsGv9P7Tq/yYA1xKusfCDL1k5/1e75XJLYHBlfEv6M6huL74aPod3JnTPttw7E3uwYPgcBtXthW9JfypZcmre6w0ObjnAoHq9ObjlAM16vQHAq31acvbwGYY1GcicQdPoMLZL+r46fPAu+zbuYUiDvgxrMpCLJ8/bIc8q+Jb0o3/dnswfPpsuE3pkW+7did35cvhs+tftiW9JPwIteZ4/fo4p3SdzZPvhDOUbtG0IwNDG/Znw1ljeHtUZpZRtk8mG+dj0o2/dHswbPouuOR6bPZg3fDZ96/bAzyq/fZv3MqhRX4Y06c+lMxd5vVcLAP5avpGhIQMZGjKQGQO/4PKF6FzpGLJVfgCRZyPTc8yNjiFlMNBufBemdZrImIYDqZ5N21m7dX2uJ15jpKXtbGFpO6/FX2FGl8mMazKYhYNn8s7nfTNsF9S4OinXb9gtl7tRBsXr4zvzVaeP+bThEIKa18SnTMbPZTVaB5OcmMTkegPZtGA1Lw9rB8CeFVv4PGQ4n4cM58eBs4m/cFk6hu6VyWS/f4+Zh9Y5pJS6dg9l6iilDiml9iqlXB/Wc9/lOQOVUiFWj5srpYbZ4HlyzF8pFaCUSlZK7VFKHVFK7VBKdXzIzz9AKZXX6vFqpVShh/kcD4t7UBmSzkRx/Vw0OtXIxeXb8G1cJUOZmC2HMSbfBCB+1wny+HkAUKBcEZSDA5c3mX8FMF5PSS/3qPAIKs218CiSzl1Gpxo5v+JvimTK7/LW2/nF7T6JqyU/gEIVA3DxciNy4wG7xn0vDMXLYoqJQMdFgTGNtL1/4fhs9QxlnGo0JHXrH5CcBIBOSjT/H3MJHRNh/vtKPPpaIiq/m30TeAiqBj6HW8ECuR3GAylUuQzXz0SSfNZ87kUu34pPk6oZysRtOYzJcmwmWJ17oDG4OGFwdsTg4oRydCDlcoKdM7izfIFlSQmP5Oa5KHRqGvErN+PWKOPxabqWnP63Ia8L6Ed/aPELjZ7nz2XmDo+je46Sr2B+PLzdM5Tx8HYnb/68HNlt7lT+c9l6ajZ+Icu+XnzlRUJXhN3ed+MXiDgXydnjuf+BsnbjWqxZuhaAw7uPkN8tP57eHlnKHd59hNjouCzLIy9EcfrI6UdmuHjJwDJEn40k5nw0xtQ0dv62hUqNMp5vlRpV4+9lGwHYvfpvnqpZAYDUGzcxGc0fKp1cnDMcpyd2HOF64l0/ctlFtYY1CFsWCsCJPcfIWzAfhTIdm4Usx+Zxy0iYsGWhVGv0PADJVuejS9486WleiU3k1P6TGFONdsgioyoNq7PZktPJPcdzzMk1v2v66J7Ny0KpamlrrLc3L68BQJGyRTm0xfy+funURQoX9aaglxuu+V15qsYzhP30JwDG1DSuX7lu8zyrNazOpmVhAJzYc5x8OeaZNz3PTcvCqGbJ5+LJC0ScvpRlv0XLFuPA1v2AuR6TriRRqmIZG2aSvWoNq7Mx/di8c363js2Ny0Kpbslv/+a96efgiT3H8fTzyvIctZrXYcvKzbZMI0f2yC+3lAwsw2WrtvOf37YQmKntDGxUja2WtnOXVdt5/lA4idHxAFw6fh4nFyccnc0XyrjkzUPDd5vx+4zcHSFrrXhgGWLPRhJ3PhpjqpG9v23j2Uy5PtuoCjuXmUfC7l+9nbKWXK0FNa/JnpVbsywX4n7Ze+RQe+AzrXWg1jr5boWVUg4P4TkDgfTOIa31Sq315Iew3/t1SmsdpLV+GmgDDFRKdb7XjZXZneprAJDeOaS1DtFaP1rf3Czy+LmTfCk2/XFyRJzVF9CsircLJnrDPgDylfIj9UoS1RYMoO66STwzph0Y7P+L1J24+npw/eLt/K5HxOHq655j+ZJt6xEZas4Ppaj0QXv2f/iDrcN8IKqgBzrh9uVvOjEW5eaZoYzByx9DYX9ce0/Ctc9kHMoHZdmPoVhZlIMTOjbS5jGL21x8PTKcezcuxeHim/O5V7RdMJc37AUgYecJ4rYcJnj/XIL3zyUmbD9JJ7J+MchNTr6e3Lx0+/hMjYjFydczSzmvjiE8+9dciozoxIUx89OXOxfz4ak/PqfszxPJV/3RGRXl5evJZau8YiJi8PTN+EHe09eLmIiMZbwy5V6hRgXiY+K5FG6uNxdXF1r3bMV3n39vw+jvnZevF9GXLqc/vhxxGS/fR+cLy/0q5ONBvNX5Fh8RRyEfzyxl4ix1azKaSL56nXzu5s7ngMAyfLB2KmPWTOH7UfPTv8g9Sjx9PYm1qrO4yFg8M+Xo6eNJbOTtYzMuIgZPq2Oz7dC3mLttAXVeq8viqbl/LLr7ehJnVW9xkbG4+2RsJ919PIiLtCoTEYu7JSc3r0IkWL6cJkTH4+Zl/hHk3OFwqjU1d4qVrlQWryKF8fT1xLu4D1djr9D9s75MWj2Frh/3wsXVxaY5Arj7ehBr1a7ERsbikSlPj2zzzPk9A+Ds4XCqNayOwcFA4WLelKpQGk9/+5/HHr6emfKLwSPTsenh40msVX6xEbF4ZPOeEdy6AXvCdmVZXrNZbf5akTuXr9oyP+9iPnyy+nPGLZ7IU9Xs/15obhfv3nbGZ2o787tn/OGuctPnOXfoDGk30wB4dfCbrPvqN27eSLFxBvfOzcedBKtcEyJicfNxz1TGI73MrVzzZsq10isvsFc6h+6dNtnv32PmoXcOKaXqKaXClFJLlVJHlVLfWzo23gVaA2Osln2qlDqolDqglHrTavtQpdQPwAHLqJujSqmvLGW/V0q9pJTaopQ6oZSqbtmuulJqq2V0zlalVHmllDMwHnjTMlrpTaVUJ6XUTMs2JZRS65VS+y3/F7cs/0YpNd2yn9NKqZaW5fkt5XZbYn71QV4jrfVpYBDQz7LfsUqpIVav4UFL3gGWkUazgd1AMaXUHKXUTssIrHGW8v0AfyBUKRVqWRaulPKy/D3Iss+DSqkBlmW39j3fsq+1dhzNlXVhDr/eF21Ri0KVSnJy9irzto4GPGs8xaFxP7CpySjyFfem+Jt1bRnufcs+vezzK96iFu6VSnHMkl/pTi8RuX4fyZey/ir+SLiXujM4YPDyI3nOaG58PxWXlr0yXD6mCriTp01/biyZ8ViM2niiZNuPmn0d+LWojVtgKc7MMs+XlTfAh3xl/QkL7EVYpZ541n4W9+efsl2sDyK7/LI5xmK+Xc2h2j24+NG3+PZrDUBqdBwHa7zL0aYDuTB+ISVnDMaQ3y5N4t1lc95lblOya1czpx78aj3CVmxMf9xh8Nv8+tWv3HhEhtjfT9v5WLiH4/FO74fhe08yrtEgPmo+jCY9X8fRxckGQf5L91Jndynz46ff0eOFLmxevpEmHV9+yAHev2yvgLqPesvJyjm/kK9gPiatnkqjTiGEHzqN0WjC4OBAQIVS/Pnd/zEiZDAp11NobrkUzZbupc3IPs877zd0yZ/ERsTy0W9T6DimC8d3H8WUZv8RYPdSR/fS5rzRpxWmNBObf92YYXmZwHLcTE7hvGXeKHuzVX7x0XH0fOFd3gsZyLcfLqT/9MG42vm98EHPQevc/MsWpcWw9nw34ksAij0TgHcJX/ZY5m57ZNzDeXi3z97FA0uTmpxC5PELDzk48V9kqwmpg4BngUvAFqCW1vorpVRtYJXWeqlSqgXmUT2VAC/gH6XUre736kAFrfUZpVQAUAZoBXQD/gHaAbWB5sAI4DXgKPCi1jpNKfUSMElr3UIpNQaoqrXuA6CU6mQV50xgkdb6W6XUO8B0y74A/CzP8RSwElgK3ABe11pfsXS8/K2UWqkf7NPrbsu+76Y80Flr3csS/0itdZxlVNV6pVRFrfV0pdQgIFhrnWFmZqVUFaAzUAPzR7TtSqmNQDxQFmirte6qlFoCtAC+y7R9N8yvO/PmzcPnARLNLPlSnGUyaTNXPw9uRMZnKVe4TgXK9X+Nv974EJOl1//GpTgSD4Zz/Vw0ABH/txOPKmU49+NDCOwhuR4RR94it/PL6+fBjaisg7i86zzL0/1fJez1Cen5eVYtS+Ea5Snd6SUc8+XB4ORIWtINDkxabLf470QnxqIK3f4FULl5oq/EZSljPHcMTEZ0fDSmy5cwePljunASXFzJ885IUtb8gOnccXuH/5+XEpHx3Mvj70FKNuee54sVKD3gdXa8Pg5tOTa9Q6qRuOskxuvmX9wur99LoSplif/70ZkbKzUiFmerX6id/DxJjcq5ozV+xWaKT+zBWUDfTMN48yoAyQdOkXI2gjylinB9/0lbh52tZh1foWnbJgAc33ecwlZ5efl5ERcVm6F8TMRlvPwylom1KmNwMFCrSU36hPRLX/ZUUHlqh9Smy4gu5C+YD601N2/cZOW3GSfQt6XXO77KK+3Ng3uP7j2Gt3/h9HWF/QpnyOFxkxAZh7vV+ebu50FCpsvh4iNj8fD3IiEyDoODAdcCeUlKyHjJWOSpi9xMvkGRcsU4eyDrhLP21qRDCA3aNALg1P4TePoXBo4A5tEMcZlyjI2MzTDSzcPPi7hszsvNKzYy4usxLPnc/m/oDTs0JbiNea6c0/tP4mFVbx6+nsRHZ2wn4yIzjsDw8PMk3pJTYkwChbzdSYiOp5C3O4kx5kurk68lM2/ozPRtpv01j8vno3B2dSEuIpZTe82Tr29fvdVmnUONOjTNVHe368XT15P4bOoupzxzYjKaWPThwvTH43+ZTES4fUaZNu4QwkuWejy5/2Sm/LxyODZv5+eZKb+6LYKp0qAq49qOzvJctZrV4S87X1Jmj/zSbqZxzfJeePrgKaLORuBXsginD9jvvTA+Mi7DOZhT2+nu70V8Nm2nu68HveYNZeGgmVw+FwVAqcrlKPFcKT76axYODg4U8HRjyE9j+azNWLvllZ3EyDgKWeVayM+TK5nam8TIWAr5e5Jolet1q/eJwGZySdl9e0QuP38U2eqysh1a6wtaaxOwFwjIpkxt4EettVFrHQVsBKpZbW89u9sZrfUBy/4OAestHTIHrPbtBvyslDoIfI65c+puXgBuXb/zP0tMtyzXWpu01ochvU9EAZOUUvuBP4EiVuvu171eC3VWa/231ePWSqndwB7MOd5tvGdt4FetdZLW+hrwC1DHsu6M1nqv5e9dZFNPWusvtdZVtdZVu3Xrdo8h31nC3lPkK+VL3uKFUU4OFHntBSLXZhyu61ahBJU+7cL2jlMyTDgdv/cUTm75cPY0D6csXPtZrh6/+FDielji954mf0lf8hYz51fs1ee5tCZjfoUqlKDKJ13Y0nEKKbG389vReza/V+3P6uoD2DfuB87+vPmR6RgCMJ0/gcHLD+XuDQ6OOAbWxnj4nwxl0g5tx6H0c+YHeQtgKOyPKS4KHBzJ03EYabvCMO6XN7HckLjnFHlL+eJqOfd8X6tJdKZjs0CFAJ79tCu7O3ya4dy7cTEW95pPoxwMKEcHPGo+w7UTj9a5l7TvBC4BfjgX80Y5OeLevA6J6zL+SugS4Jf+t1uDqtwIN8+D5ehREAzmt0Tn4j64lPQn5VzuXfb427er0ieR3rpmGy+1aADAU0FPcf1qEnGZv6xGx3M9KZmngsy/ObzUogHb1t5+66h5UMUYAAAgAElEQVRcJ4jzpy4QY3V5z+AWQ+lYsxMda3bi1wXL+WnmYrt2DAH8+u0KujTqTpdG3dm8ZguNW5q/uD5T+WmSriRlO7fQ4yJ830m8A/zwLOqNg5MjVZvVYt+6jBN/71+3k+dbmEe/Vg55nqNbzfPpeRb1Tp+A2qOIFz6l/Im5cJlHwf8tWs3QkAEMDRnAjrXbqdciGICyQeW5fvV6+iVVtyREx5OclEzZoPIA1GsRzD/rtgPga3U+VmtYnYuncueX73WL/mBEyCBGhAxi59rt1LHkVCaoHMl3yKlMUDkA6rQIZpelrdn95z/p21svz1swLw5O5t9kg9s05OiOQyRfSybxcgKxETH4lfIHoEKtilw8YZvXYe2iP3g/ZCDvhwzkn7XbebHF/7N33/E1Xn8Axz/nJiFGQhKRgYpROpSYUStii1GjqrZS1N5q1exQatWqVaV2q2q2qpUYbe2taidElkyJDEnu8/vjXnGz0P7cXOX7fr285D7PeZ57vjnPuDn3e85TH4CXK5cjIe5etnEm3UvkZWOc9drX59jeR2de5LHNkz4s7o06ldCnppktnsz2rNmdPpHysV8O451+bOYcX6JJfN7tfdLj8/SuTJv+7fm89yfcT8o4t6VSijdb1Mr1+YZyIz57R3t0xnth0RIuuJVyJzyX74UPrp1FjNfO6tlcO0/vPU4t47Wzqm9NLhmvnfns8zN41Th+mLmeaycePvFv/9pfGO3Vj3F1BvJ5h48IuxFs8Y4hgFtnrlHEwxXH4s5Y2Vjh2epNLuzN+Lnswt4TVGtfD4CKvl5c/eNC+jqlFBV9vTi9489crbd4fpkrc8h0MGdaDu/zqM6Re4/Yn97ktd5k39MBP03T2hqzjfyfsK6mTLsRTd/zQV27AM5AVU3TUpRSAYDtv3gfMGRXXTT+nErGjjrTfab/LpRSpYBRQHVN06KVUt88wfs/6vecuZ1yJW9US9Nzdvw3vLlhLMpKx80N/sRdus0rY94m5vR1Qn85yeuTumBVwJbqyw3fcifcjuRoj9mg17gwdR21vpuAUhBz9gYBa/flRrWfmJam59T4b6i34UOUlY4bG/dz9/JtXh/dnqgzNwj55SQVP+qMdQFb3lxmeBpPwu0Ifu85x8I1fwJ6Pck/Lidfn8nGR9n/hj7sFnmadCIt6Cppfx0j7dIprMp5kn/Ul2h6Pfd3roaEOKyreGNV+jVUATusqzcAIHnTl+iDAywb0z80evIMjp06S0zMXRq26cqA3t1o36qppav1RLQ0PX+NW0W1jeNRVjqCNvgRfymIsmM6EHvmOnf2nKD85C5YFciL54phACTdjuBk9y8I3XEYpzqvU9t/FmgaEX5nuPPLSQtHlEmanlsfLaPs2ikoKx2Rm34j6fIt3EZ2JuHsVWL3HsW5Zwvs6lRCS00lLfYegcPnAVDQ63XcRnZGS0sz7GfcEtIyZXBYytF9x6jeoDqrDn1NcmISs0fOTV+3+OeF6Y+lXzB+IaPmjCCPbV6O+x3jmN/Djlvv1t74m0xE/Sw6/NsR3mzgxYbfvyU5MYnPRsxKX7fyl6X0bmJ4atQHE/rSqG0DbPPl5fvjG9m1fjer5qzhlUrl+XjlVOwKFaRW4zfpNbIHPRr0zuntzE6fpmfjpJUMXTMBnZWO3zf7EXIliFbDOxJ47hpnfz3Ooc376DVnMNP9F3AvJp4Vgw1tW7b6KzTr34a01DQ0vZ71H63gXrTh2/zeXw6lfM3XKehgx4w/v2LH3M38vtky98GT+45TxacqCw8sJTkxmcWjvkxfN2v3PEb7Gq4jyycsMT7KPg+n/E9yys/wx0/XsT1wL10MTa9x53Y4y8YvBqCwc2E+3zGHfAXzo+n1tOjVmmGNBmaYwNpcTu87gadPVeYeWEJyYjJLRy1IX/fp7jmM9x0BwNcTlvKB8RHvZ/xPctrPcD3cvvgHhiwehU/HhkQERzC/v+E4Lla2BP3nDEGfpifoahDLTbKIVk9ezsD5w7G2sSb8ZliG9zSXU/tOUNmnKvMPfMV946PsH/h891w+9B0OwIoJXzFg9hBsbPNy2v8Ep41tV72pF+9N7YO9YyE+XPURgX/d4NPuUylUpDDj10xG0/REhUax0HiNzW0n952gsk81FhjjW2TyO521ey6jjfEtn/CV8VHveThtcmz2ntYP6zw2fLR2KpDxke6ver1OZEgk4bfCcjmqh8wV36ter9NxRGfSUtPQ6/UsG7+E+FyeAF+fpmf9pJUMWzMBZbx2Bl8JorXx2nnGeO3sPWcwnxivncuM184G3ZtRtKQrLYe8TcshbwMwt9t04iKfsScbG+nT9Gyd9A191oxDWek4ttmfsCtBNB3+NrfO3eCvX09wdLM/neYMYKz/XBJi4lk7+GFbl/Z6hdjQKKJuhVswCvE8UU9rPL9SKl7TtIJKqfrAKE3TWhqXLwSOa5r2jbEz48GwsnZAPwyTRTsCxzEMfXol0/Yexm0qGF+b7iN9nVJqK7BW07QtSqkpQE9N0zyMw9daa5rWw7h9T4zDzJRS24HvNE371rj8LWPnUvp7ZIptKFBW07TBSikfYB9QStO0gAdlcvjdZI7BA0MGzwJN01YppboCLTVNe1cpVQXD0Lkyxs1Nt6sErMHQseQMnAU+NP5uzxnjvGEsGwBUA14CvgFqYhxWBnTDMKzMdN+jgIKapk3JuZXRtrl2fsTq/7a3QtfznVsXS1fDLDqErCN+dFtLV8NsCs7aSkqE5YdbmItNkdL87PKupathNs3CNnKyxL+awu0/ocqtbTQt0dzS1TCLPbd+ol6xhpauhtkcuP0b/Tw6WLoaZrM04DveLtna0tUwm+8Dt9O55PN771sfuJWOJds8vuB/0KbAH+lQ8vm9L3wXuO25j6/Pc3ztXB7wHaM8Olm6GmbzRcCGZ+tpP09ZwoIBuTauLP/gxf+p32VuP63M1FYMnRtnMHSyjNE07f/JW5wJfKaU+h0wfcqZH/DagwmpM20zBHjPOEysGzD0Me+xDqimlDqOIYvon0y2UcY4WfZFYDPGjiHjui2Ao1LqNNAfyHYyFk3TzmAYTnYB+BrDfE4PLAN+ejAhtck2JzF0Dh3F0DG0QtO0U/+g3kIIIYQQQgghhHiOPbVhZQ+yZjRN88dkSNeDiaCNP/c0+VkDRhv/me4n8/YBQIUc9pG+TtO0P4FyJrv6yLg8iodzGT3wjcn2DbKJpWem1w9ii8AwT1EWOWUNmbxPjkO2NE1LBJrksLpCprI9syukadoCYIHJaw+Tn+cAczKVDyDj7/WLnOonhBBCCCGEEEL85+n/e4+Yzy2WzBwSQgghhBBCCCGEEBZmrgmpX0hKqTcwPPXMVLKmaV6WqI8QQgghhBBCCCGMntKcy88j6Rx6ijRNOwd4WroeQgghhBBCCCGEEE9KOoeEEEIIIYQQQgjx/JM5h3Ikcw4JIYQQQgghhBBCvMAkc0gIIYQQQgghhBDPP73MOZQTyRwSQgghhBBCCCGEeIFJ5pAQQgghhBBCCCGef5rMOZQTyRwSQgghhBBCCCGEeIFJ5pAQQgghhBBCCCGefzLnUI6UpskvRzwxOViEEEIIIYQQ4vmlLF0Bc0r4/L1c+5s2/4er/lO/S8kcEv9IYJVGlq6C2ZQ8+St7XTpauhpm0ThsE+dLt7R0NcymwvWd/OzyrqWrYTbNwjaSEnHd0tUwG5sipUk6+K2lq2E2tnW7UcqpkqWrYRY3Is9ga/uSpathNklJNxnq8fxeW+YHbKRDybcsXQ2z+S5wGz082lu6GmazOmALnUq2sXQ1zGJD4I+0K9na0tUwmx8Ct9P2pVaWrobZbL25g14eb1u6GmbzdcD3zH+pq6WrYTZDb661dBXMStPLnEM5kTmHhBBCCCGEEEIIIV5g0jkkhBBCCCGEEEII8QKTYWVCCCGEEEIIIYR4/smE1DmSzCEhhBBCCCGEEEKIF5hkDgkhhBBCCCGEEOL5p8mE1DmRzCEhhBBCCCGEEEKIF5hkDgkhhBBCCCGEEOL5J3MO5Ugyh4QQQgghhBBCCCFeYJI5JIQQQgghhBBCiOefXuYcyolkDgkhhBBCCCGEEEK8wCRzSAghhBBCCCGEEM8/mXMoR9I5JCzCtlZ1HEcNACsd8Vt/4u43G7Mtl79hXZxnTSakywDuX7xMntfL4zRxuGGlUsQsXUOi3++5WPMn4+RTifIf90RZ6bi9bh8BC7ZlWP9SvxYU69IALS2N+5F3+WvYVyQFRQBQdmJnnBtXAeD6nC2Ebfsz1+v/KAXrVcFtUl/Q6Yje/AsRX32fYb1D5+Y4dWuBlqZHn5BI8PiFJF+9RaG36lOkT7v0craveHCt1VCSLt7I7RAeqYhPJV79uAdY6Qhat48bC7ZnWO/Rz5fi6W0XxzmTtiv3UWecG1VG6XREHjjLxQmrLRHCvzbx0zkc+P0ojg6F+XHtV5auzr/y+/lrfL5hD3q9Rtu6nvT2rZ1hfUhkLBO/3k5cQhJ6vcbQ9g2oW7EsAJdvhTH9293EJyWjU4r1E3uT1+bZvk1O/uxD6jeqQ1JiEqMGfcSFs39nWG+bz5ZFX8+iZKkSpKXp+W3PfmZOm2+h2j7e7NlTadbMh4SERPr0Gcnp0+czrM+Xz5b165dQunRJ0tL07Nr1Kx99NAOAl14qxtKlX1CkiCPR0TG8995Qbt8OtUQY6V7xrkS7ST3QWek4vGkfvy7JeD2xymNN1zkDKVGhFPdi4lk9aD5RQXdwLO7MuF9nE349GIDAU1fYPGGlYRsbK96e2ouyNV9D0/TsmrWJMz8fzfXYHnhvSh+q+FQlOTGZRaPmc+P89SxlSlcow8DZQ8hjm5eTfidYNWU5AN3G96Rqw+qkpqQSFhjKotFfknD3Xvp2RdyLMPfXhWyet5Edy37MlXje8Paky6Re6Kx07N/0G7uWbM2w3jqPNX3nDMGjQmniY+JYPGgOEUF3AGg5oC313mmIPk3P2qlfc/7A6fTtlE7H1B2fEx0axdzenwHQ6/MBlKpYBoUi9EYwy0ctJDkhKVfifKDHlPfx9KnK/cRkloz6koBs2q9UhTJ8MHsIeWzzcNrvBKunrADAy7cWbw9/F/eyxfmo9Wiun7sGQJlKL/P+ZwMAUAq+n7eR43uO5F5QRr2n9KGKTzWSE5NZOGoe13M4NgfPHmo8No+z0nhsdhrZheqNvdD0emIjY1kwcj7R4VHkt8vP0HkjcHZ3RmdtxfZlW9n33W+5HRoAvaf2parx3Fswcj7Xz1/LUqb0G2UYMnsYeWzzcMLvBCsnL8uw/q2+bek5sRfdK3UhLvouNRp70WlUFzS9RlpaGl9PXcHFY3/lVkjpKnh70nnSeygrHQc3/cbuJRnPf+s81rw/ZzAlK5TmXkw8SwbNITLoDgUKF2TAklGUqliG37/3Z93klenbWNlY03Vqb8rXfB1N0/hh1npO/Jz7x2VmJb0r4j2lG8pKx4WN/hxfvCPDevca5fGe3I0ir5bgp0ELubr7WPo6O3cnGs58Hzs3RzRgW49ZxBk/kwrxb7wQw8qUUmlKqdNKqfNKqe+UUvn/j331VEot/D+2dTd57a+UuqSUOqOUOqaU8nyCffgrpao9psywfxqjUqq+UmrnP9nmX9PpcPxwMOGDxxPcvjcFmvlgU+qlrHXKnw+7Tm1JPncxfVnKtQBCug4gpNMHhA8ah9OEYWD1jB3GOsUrM3pxqvNn/FF3BK5ta1OgXLEMReLOB3Ck6TgO+4whfMcRXp7UBYAijSpjX7EUhxuM4UjzCXgMaIVVwXyWiCJ7Oh3uU/sT8N5krjYdQKFW3uQtWyJDkdjt/lxtPohrLYcQsXQLrhPeNyzf5s+1lkO41nIIQSNnkxIU/sx1DKFTvDajF8c7z+BQ3ZG4ZdN2d88H8EfT8fzu8yGhO45Q3th2hauVw6FGeX73GcMh71EU8iyDY63XLBHFv9bGtzFfzfnY0tX419L0ej5d9xOLh3Vi6/QP+PnoBa4F38lQZvmuQzSt9hqbJ/fh835t+XTdTwCkpukZv2IbE7v5snXaB6wc3Q3rZ+3akkn9RnXwKP0SPtVbMW7END7+YmK25ZYvWkOjmm1oWf8dqtXwxLth7WzLWVrTpj6ULevB66/XY+DAsXz55SfZlps3bxmVKjXAy6s5tWpVo0mT+gB89tlE1q3bQvXqTfn00/lMnz42F2ufldIpOkzrxdKeM/is8UiqtK6NS9mM15M33/EhMTaej+sPw3/lLlqN7Zy+LjIwjFm+Y5nlOza9YwigyaC2xEXG8kmD4XzWaBRXj1zEUir7VMWtlBuDvT9g6bhF9Pm4f7bl+nzyAUvHLWaw9we4lXLDs77hC5AzB08zoslgRjUbSvCN27Qd0D7Ddj0m9eaU/0mzx/GA0unoPq0Ps3t+wrjGw6jZug7uZYtnKFPvnYbci41nTP1B7Fm5k3fGdgPAvWxxvFrVYXyTYXzR42N6TO+D0j28hjR5rwXBV29n2Nf66av4qPlIJjYfQWRwBI16NDd/kCY8fariWsqN4d79WT5uMb0//iDbcr0+6ceKcYsZ7t0f11JuVDK2363LN5nTbwZ/H8nYeXDrUiATWo1knO9wZvSYxvuf9keXy9fTKj5VcSvlzkDvfnw1bhF9czg2+33SnyXjFjHQux9updypbIztx6U/MKLZEEb6DuP4b8d4Z2hHAJp3b0HQlVuMaD6USR3H02NiL6wt8CVCFZ+quHu4M6BeP5aMXUS/T7KP74NPBrBk7EIG1OuHu4c7VepXTV/n5FaESnU9CQ8KT1929vczDG86hBHNh7Jw1JcM+Hyw2WPJTOl0dJ32PnN7fsLExsPxyuY8rPtOQ+7F3mNc/cH8snInHcZ2BSAlOYUfZ29k86ffZtlvy0HtuBsZy/gGQ5jYaBiXjuR+p1dmSqeo/3EPfuwxk28bjqFc65o4vuyeoUxccCR7Ry7l0rY/smzfZO4HnFy6i28bfsimVpNIjLibW1X/b9P0uffvP+bZ/uT79CRqmuapaVoF4D6Q4e6nDHLjd9ETcM+0rIumaZWAxcCsp/Q+w4B/3QFmbnkqlCc1KJjU2yGQmsq9Pf7kq5/1j5XCA3pyd/UmtOT76cu0pGRIM5xoKk8eeAazAgtVKUvCjTASA8PRUtII/fEPnJtVz1Am+vcL6BMNccWeuIKtmxMABcoVJ/rPi8asm2Ti/gqkSINKuR5DTvJVKkdyYAgpt8LQUlKJ3XkAu8Y1M5TRxyem/6zLbwta1kYq3MqbmB37zV7ff6pwlbIk3AjN0HYuzTL2xUb9/ld628WcuIKtm6NxjYYurw26PNbo8tqgrK1IvhOTyxH8f6p5vkEheztLV+NfO38jmBJFHSnu7ICNtRXNaryO/+nLWcrFJyUb/k9MxrmwId4/L1zn5eJFKV/CBYDCBfNjpXu2b5GNm/vwwybDN4ynj5/DvpAdzi5FMpRJSkzi8CHDt4wpKamcP3sRN3eXXK/rk2jVqgnr1m0B4OjRUxQubI+ra9EMZRITk9i/35BNmZKSwqlT5yle3A2AV199GT+/QwD4+/9By5aNc7H2WZX0LMudwFAib4WTlpLGyR1/8EaTjNeTCk2qcXTLAQDO7D5CuVqvP3a/Xh18+HWxIRtV0zTuRcc9/co/oeqNa7B/ix8AV05dpoB9AQoXdchQpnBRB/IVzM/lk5cA2L/FjxpNvAA4e/A0euM9/cqpyzi5PTx+qzfxIvxmGLcu38yNUAAo7VmWsMBQ7twKIy0llSM7DlGlScb7d5UmNTi0xR+AY7v/5LVabxiXV+fIjkOk3k8lIiicsMBQSnsashIdXB2p1KAK+zf+mmFfSSb3yzy2edCyuV+aU9XGNThojOXqqcvkf0T7XTG238Et/lQztl/w1SBCjNltpu4n3U9vV5u8Nhb5rFajsRf+xmPz8qlLFLAvgEOm2BwyHZv+W/zwamL4TJNo0ja2+W3TP8pomkY+45d2tgXyER8TT1pqmrnDyaJGk5r4bdkHPD6+S8b4/Lbso0bTh5/Zek1+nzWfrsrwOS3JJHPNNn/ebD/DmVtpz7KEB4Zy51a48Tz8Hc9M52HlJtX5w3jsHt/9J68az8P7iclcOf43KSZ/OzxQt0MDdi02ZAJqmka8Ba+dD7h4liE2IIy7N++gT0nj8o7DlG5SNUOZuKAIIv6+hZZpKJTjy+7orHXcPGjIsE1JSCY1KWvcQvwTz/YnX/M4CJRVSnkopS4qpRYDJ4ESSqlOSqlzxgyjzx9soJR6Tyl1WSm1H6htsvwbpdTbJq/jTX4eY9zXGaXUDGO5asA6YxZT5nSQP4FiJts3UUr9qZQ6acx2Kpg5EKXUEqXUcaXUBaXUVOOyIRg6oPyUUn6P2pdSqplS6m+l1CGgXeb9m4u1cxFSQx9+S5EWfgerok4ZytiUL4uVS1ESD2ZN98xT4RXcvluB2+blRH46L72z6FmR19WR5ODI9NfJwZHkdXXIsbx7Zx8i9hlSz+MuBFKkgSe6fHmwcbTDofbr2LoXyXHb3Gbj6kRKyMNMjNSQCGxcnLKUc+zWgnJ+y3H98D1Cpi3Lsr5Qi7rE7jhg1rr+G3ldHUk0abuk4CjyujrmWL54Zx/uGNsu5vgVon7/C5+zX+Fz9isi/M9y70rWD83CfMKj43B1sE9/XdTBjrBMH/76t67HrsPnaDx6PgPnb2Rsp6YABIZFohR8MHc9HaetYNVPWb+he9a4uBUl5HZY+uuQ4DBc3YrmWN7O3o6GTb35/YDl0+iz4+7uSlBQSPrr27dDcXd3zbF8oUL2tGjRCD/j0OJz5/6iTRtfAN56qxn29nY4OhY2b6UfoZCLIzEm15OYkCgKuWS8nhR2cSTaWEafpicpLpECDoYOS8cSzoze9RmDN02idPVXAMhnb/jex3fkO4za+Rk9Fw3Drkih3AgnW46uTkQGPxzCEBkagWOme4KjixORoQ9/D5EhkTi6Zr1v+LzTkFP+JwDImy8vbfq347t52Q85NxcHF0eiTOKJConCIVM8pmX0aXoS4xIo6GCHg4sTUSbtHRUSiYOxvbtM6sXmz77NtvPn/VkD+fLYStzKFOPXb3abI6wcObo6Zmi/qNBIHDMdo44ujkRlab+c74sPlPF8mVl7v2TmnvmsmLAkvbMotzi6OhFhkjkaGRqZw7FpcvyGRGQ4NjuP7sqyP1dSr403G+esA2D36l0UK1uclce+Ye6eL/l66vJc79QDcHJ1IjLE9NzLel45umaKLzQCJ2OZ6o1rEBUaScDFgCz79mpakwX7ljDhm8ksHJ37w5ALZzoPo03OpezKmJ6HOXlw7Ww78l0m75xJ/0UjsbfgtfOBgq4OxAVHpb+OD4mioEvOfzOYKlzKjeS7CbRYOpROuz+mzvhOKJ0yV1WfL3ot9/79x7xQnUNKKWugOXDOuKg8sEbTtMpACvA50ADwBKorpdoopdyAqRg6hRoDjx0nopRqDrQBvIxZQTM1TfseOI4hU8hT07TETJs1A340bl8EmAg00jStinG7Edm81QRN06oBFQFvpVRFTdO+BIIBH03TfHLal1LKFlgOtALqAjl/An/aVDYXLi3jeseR/Ymek/2cJ/fP/01Ih/cJ6TaQQu91gjw25qnnv5VdfDlwbV8He88yBCwyzEMRtf8sEb+dosbO6bzx1RBij19Bn5b730j9I9l8KIr6dheXffoQOvMbnAd2zLAuX6Vy6JOSSb4cmFs1fHLZNl32F3a39nUo5FmaG4sMmRv5PVwo8LI7/p4D8K/UH6c6r+NQ8xXz1VVkoWXTVplPx5+OXqB1rUrsnTWURUPfZcLKbej1Gml6Paeu3uKz99vwzYc92HfqEkeetWGPmWR7Kc3hjxQrKyu+XD6Db5at51bg7WzLWNo/jWfNmgUsWrSKGzcMmSVjx35C3bpeHD68m7p1axIUFEKqBb7RfyDbW0HmeHKIOTY8mim1BjGrxTi2Tv+W7vMHk7dgPnRWVji4O3Hj+CW+aDmOgJOXeWt8V7PU/0mo7BstU5nsimQs025QB/Speg5uNWSUvjOiEztXbM+QxZAbsosnc11zLJNte0OlBlW5Gxmb7Vw+ACtGL2KoVx+Crwbh1Sp3h3xmH0uWQo8vk41rp68wuvEQJrQezVsD2hsyiHLRkxx3jyuzftZa+r7ZmwM/7qd5jxYAVPauTMCFG/Su3pORzYfx/rR+6ZlElpYlvmwOSk3TyGObl7cHvcOG2euy3c+RPYcZ3KA/M97/hE6jcv/68n+dhzmwsrLC0b0IV4//zdSWY7h28hLvjO/+/1f2//Uvzy8AnbUO9+rlOfjJeja2mkShl5x5rUO9p1xB8aJ5tmfafHryKaUezAp4EFiJIbsmUNO0w8bl1QF/TdPuACil1gEPzjDT5ZuAco95v0bAKk3TEgA0TYt6RNl1SqkCgBVQxbisJoZOqN+NF788GDKLMntHKdUXQzu6Gbc5m6lMTvt6BbihadoVY1xrgb6Z38C4/74AS5cupekjw34yqeF3sDYZKmBV1Jm0Ow+/lVIF8mNTxgPX5bMN650ccZ43jTvDJnH/4sMhIqk3bqIlJpGnTKkMyy0tOSSSvO4Pv73J6+5Ecmh0lnKO9d6g1LB2HG87Be1+avryG/O2cmOeIe21wpLBJF4PybKtpaSERmLj5pz+2tqtCCnhOR/esTsO4D59ALdHP1xWqFU9Yp/BIWUAySFR5DNpO1t3x2zbzqleBcoMa8vRtlPT266ob3ViT1wlLcEwZOnOb6cpXPVlog//nWV7YR4uDvaERj8cbx8eHUfRwhm/Sdx66DRLhnUCoFKZ4iSnpBIdn0BRB3uqlSuJg53h28U6b5TlYmAoXq+Wyr0AnkC33h15t5sh0fPsqQu4FXs4RMzN3YWw0DvZbvfp3EkEXL/JqqXZ/zFgKf36dadXL0N7nDhxNn2IGECxYq6EhIRlu93ixTO4ep2fW60AACAASURBVDWAhQsfzsUTEhLGu+/2A6BAgfy0adOcu3ctN2wgJjSKwibXk8JujsSGR2cp4+DuRGxoFDorHbZ2+UiIMSQhJ9w3/B90/gYRN8MoWsqNW+euk5yQxNk9hqGCp3cfoWZHn1yKyKBpd18avWsYsnf17FWcTLJbnVyLEJXpnhAZGpmerQDg5OZEdNjDMt7tfajasBpTO32Uvuxlz3LUbF6LruN6UMC+AJqmkZJ8n59XmzezJio0EkeTeBzdHInJFM+DMtHGNstnl597MfFEh0biaNLejm5ORIdHUaVRdSo3qk5FnyrY5LUhX8H89Js7hKXDv0wvq+n1HNn5O7593+Lgd35mjbFx9+Y0eLcJANfPXsnQfo6uhjpnifcR7fc4wVeDSE5MpkS5l9InrDaXZt19aWyM7erZKxRxdwYMc3I5ZROb4dg0OX7dimQb28Ft+5mwahKb5m6gQYeG/LDYMPw1NDCE8FthFCtTnKtnrpgpqoead/elsTHb9erZKxmGYTq5Zm0XQ6ZQpvMzLArXkq64lHBh7s+GY9DJrQizd89jTOsRxJgMh//r6AVcX3LDzsGeuOjcm8smOtN56ODmREyma2d0DudhTuKj40hOSOLkHsPk/cd2/0ndjg3NE8A/EB8ShZ37w6yogm6O3AvP+rkzp23vXAjk7k3Dff/aLydwrVwWNj2bn7GfJZr+2Rp18ix5UTKHHsw55Klp2mBN0x4MyLxnUuZR6R459eGmYvwdKkPPSx6TfT1pHlkXoBSwHlhksv1ekzq/pmlab9ONlFKlgFFAQ03TKgK7ANts9v+ofT22jpqmLdM0rZqmadX69s3Sd/Sv3L9wCesSxbB2dwVrawo0rU/i/odDOLT4ewQ1bM/tll253bIryecupncMWbu7pk9AbeVWFGuP4qSGWPZpNJndPXWN/KVdsX3JGWVjhWubWtzZczxDGbsKHrw6633OdJ9JiunkcTqFjYNhBGHB117C7rWSRPpn7u+znMSzl8nr4Y5NcReUjTWFWtYj7teMQ1TyeDycVsvOpzr3A0yGVilFoeZ1iHkGh5QBxBrbLp9J24XvOZGhjF0FD16f1YeT3Wdx36Ttkm5H4lDrVZSVDmVthWOt14i/8mxmaDyvXvdw52ZYFEF3oklJTePnoxfwrpSxL9/NsRBHjGn014MjuJ+SiqNdfmq/XprLQeEkJqeQmqbnxOVASj9DQzof+HblJlrU70iL+h35Zbcf7Tq2AsCz2hvE3Y3nTljWp5SMHD8QO/uCTBs/M7er+1hLl67By6s5Xl7N2b59D126GCYkrlGjMrGxcYSaDEF+YMqUUdjb2zFq1JQMy52cHNK/TR4zZiBr1mwye/0f5eaZazh7uOJY3BkrGyuqtKrF+b0Zryfn956gRnvD91CVfL248scFAAo42qUPD3AqURRnD1cibxo6yi78dpKyNQ1JzOVqVyA0l68ze9bsZrTvcEb7DufYL4fxbm/onHq5cjkS4u5l+SMuJjyaxHuJvFzZcC56t/fh2F7DH2ie3pVp0789n/f+hPsmc2VM6jCegXX6MrBOX3Z9vYMfFn1v9o4hgBtnruLi4UaR4kWxsrHGq1UdTu3NeP8+tfcYddrXB6C675tc/OO8cflxvFrVwTqPNUWKF8XFw43rp6/y3cx1DH+zL6Pq9GfJ4Llc/ONcesdQ0ZIPk7YrN6xGyDXzt+XeNT8xznc443yHc/yXI9Q1xlL2Ee2XdC+Rssb2q9u+Pif2PvrpeM4liqZPQF2kmDPupYtxJyjrufy0/bxmNyN9hzHSdxhHfzlCfeOxWa5yeRLiEojO3MFgjK1c5fIA1G/vw9G9hs80bh4PO6qrN67B7WtBANy5HUHF2oa5IAsVKYx76WKE3cydz6E/rdnNiOZDGdF8KEf2HManfQPg0fElmsTn074BR385zM1LgfSs0o1+td+nX+33iQyJYKTvMGLuxOBa8mHcpSuUwTqPda52DEF252FtTu89lqHM6b3HqWU8dqv5vsnff5zPZk8Znf7tBOVrGuZ1e632GwRfCXrqdf+nws5cp3ApV+xLOKOzsaJcq5pc3/tkk/CHnblO3kL5yedo+BKsRK3XiZLPneL/9KJkDj2JI8B84zCsaKATsAA4alzuBNwFOgBnjNsEAFWBzcBbwIOc2V+ASUqp9ZqmJSilHI3ZQ3FAlgGxmqalKKUmAteUUq8Ch4FFSqmymqZdNT55rLimaabpMfYYOrdilVIuGIbL+RvXPXifiJz2BfwNlFJKldE07Zox3tyRpifq8wUUXTQDdDrit/9MyvVACn3Qg/t/XSbxQM6Pbs9buQLOPd+F1FQ0vUbUZ1+ij3m2ZubX0vRcGvc1VTaOR1npCN7gz71LQZQZ04G7Z65zZ88JXp7cFasCtlRcMRyApNsRnO4+C52NNdW2TQUgNT6RcwMWoD1Lcyql6Qme8hUeq6ehdDqiv9tL8pWbFB3WhcRzV4j77SiO3VpSsHYltNQ00mLjCRo1N33zAjUqkBIaQcqt7LMBLE1L0/PXuFVUM7Zd0AY/4i8FUXZMB2KNbVd+chesCuTFc8UwwNB2J7t/QeiOwzjVeZ3a/rNA04jwO8OdX3LvKTtPw+jJMzh26iwxMXdp2KYrA3p3o32rp5EvmDusrXSM69yM/vM2oNfraVPbk7LFnFn0oz+ve7hT37McI99pxLTVu1i79whKKab1aoVSCvsC+ejW2IvOn6xEoaj7RlnqVXzZ0iE9kt/eg/g0roP/8Z0kJiYxZvCk9HW7/A2dSK7uRRk0si9XL19np59h/pY1Kzayae3WnHZrMT//vI9mzXz466+DJCQk0rfvqPR1R478hJdXc4oVc2Xs2CH8/fcVDh82dBZ89dVqVq3aSL16bzJ9+odomsahQ0cYOvSjnN4qV+jT9GyZtIr+a8YbHmW/2Y/QK0E0H96BW+euc/7XExze7EfXOQOZ6D+PhJh4Vg82dBqUrfEqzUd0QJ+mR5+mZ/OEFSTEGr7P2j5jPV3nDKTdpO7ER8WxfvQSi8V4ct8JKvtUY8GBr7ifmMyiUQvS183aPZfRvoZ73PIJXxkfZZ+H0/4nOeVn6CTrPa0f1nls+Git4b53+dRllk+wXDz6ND3fTlrB6DUfobPScWDzPm5fuUXb4e8ScO4qp349zoHNv9F3zhBm+i/kXkw8iwcb7nG3r9zi6M4/+GzvfNJS0/h20vJHfjutlKLv7MHYFsyHUoqbFwNYPTHrHH3mdGrfCTx9qjLvwFckJyazdNTDbKbPds9lnLH9vp7wlfFR9nk57X+C08b2q9bUi55T+2DvWIgxqz4i4K8bzOg+lfLVXuOtAe1ITUlD0/R8PXEpcbk8+e+Jfcep4lOVxQeWGh9l/zC22bvnMdLXcA9fOmGJ8VH2eTjpf5KTxti6ju1BsdLF0Os17twOZ+n4xQB89+UmBs8eytw9X6KU4tsZq3M9tgfxVfWpxpKDywyPsh/1cG6gOT/NZ0Tzocb4Fqc/yv6k34n0+HLypm8t6rdvQFpKKveT7jN7YO5/qaBP07N20gpGrJmIzkrHoc37CL4SRJvhHQk4d43TxvOwz5whfOa/gHsx8Swd/PCz5sxDi7EtmA9rG2sqN6nBnG7TCb4axPczvuX9OUPoNOk94qLu8vXoRY+oRe7Q0vT4f7SaNt+OQVnp+GvTfqIu36bmiPaEnbvBjb0ncalYmhbLh2FbKD+lGlWm5oj2rG00Fk2vceiTDbTbMA6UIvzcDc5vMG/moXj+KUtMopbblFLxmqYVzLTMA9hpfILZg2WdgXEYsm12a5o2xrj8PePyEOA0YKVp2iBjp8w2DNlDvwGDH7yPUmos0B3D09F2a5o2XinVHvgUSATeBH4CRmmadty4zUjgNU3TeiulGmCYAymvsXoTNU3brpTyf7CNUuobwAu4DiQD2zVN+0YpNRgYCIQY5x3KaV/NgHkYOpEOARU0TWv5iF+lFlil0WN/3/9VJU/+yl6Xjo8v+B/UOGwT50s/qmn/2ypc38nPLu9auhpm0yxsIykR2c9X8TywKVKapINZHzv7vLCt241STs/OUwefphuRZ7C1fcnS1TCbpKSbDPV4fq8t8wM20qHkW5auhtl8F7iNHh7tLV0Ns1kdsIVOJdtYuhpmsSHwR9qVbG3papjND4HbaftSK0tXw2y23txBL4+3H1/wP+rrgO+Z/5Ll5nszt6E31z7XM1vHf9gu1zpACn7+w3/qd/lCZA5l7hgyLgsAKmRath7D8K7MZVcBq7JZHoZhTp8HxpmsmwHMyFR+C7DFZFH9TOtnm/y8D8M8SJnfs77Jzz0zrzcuX4Ah6+lx+/oZw9xDQgghhBBCCCGEeEG9EJ1DQgghhBBCCCGEeMH9Bx8xn1telAmphRBCCCGEEEIIIUQ2JHNICCGEEEIIIYQQzz/tGXrYzzNGMoeEEEIIIYQQQgghXmCSOSSEEEIIIYQQQojnn8w5lCPJHBJCCCGEEEIIIYR4gUnmkBBCCCGEEEIIIZ57mmQO5Ugyh4QQQgghhBBCCCFeYJI5JIQQQgghhBBCiOefZA7lSDKHhBBCCCGEEEIIIV5gkjkkhBBCCCGEEEKI559eb+kaPLOUpklalXhicrAIIYQQQgghxPNLWboC5hQ3yDfX/qa1W7j7P/W7lMwh8Y+cL93S0lUwmwrXd3LqpbcsXQ2zqHxzGxdf9rV0Nczm1Su7OVni+Ww7gCq3tpF08FtLV8NsbOt2IyXiuqWrYTY2RUpTzrmapathFpfvHKeIfTlLV8NsIu5eZohHR0tXw2y+DNhEu5KtLV0Ns/khcDs9PNpbuhpmszpgC11LtrN0NcxibeAPvP0cH5vfB26Xc+8/bHXAFua+1NXS1TCb4TfXWroK5iVzDuVI5hwSQgghhBBCCCGEeIFJ55AQQgghhBBCCCHEC0yGlQkhhBBCCCGEEOL5J8PKciSZQ0IIIYQQQgghhBAvMMkcEkIIIYQQQgghxHNPntaeM8kcEkIIIYQQQgghhHiBSeaQEEIIIYQQQgghnn8y51COJHNICCGEEEIIIYQQ4gUmmUNCCCGEEEIIIYR4/knmUI4kc0gIIYQQQgghhBDiBSaZQ0IIIYQQQgghhHjuaZI5lCPpHBIWUbBeFdwm9QWdjujNvxDx1fcZ1jt0bo5TtxZoaXr0CYkEj19I8tVbFHqrPkX6tEsvZ/uKB9daDSXp4o3cDuGR7LwrU3xKH5SVjsiNewlbvCXDeqeuzXDu3twYXxK3xi4m6cotAGxfKclLnw1AZ5cf9HoutRqFlpxiiTCyVaBuVVwm9kNZ6YjZvIfIZd9lWF+4ky8OXVqCPg39vSRCPvqS+1dvgY01btMHY1vhZdDrCft4KQlHz1koipzZ1ze0HVY6IjdkbbsiXZvh3MPYdveSuGlsuzzFi/Ka30KSrt0G4N7Jy9wav8QSITzS7+ev8fmGPej1Gm3retLbt3aG9SGRsUz8ejtxCUno9RpD2zegbsWyAFy+Fcb0b3cTn5SMTinWT+xNXpv/zm1k4qdzOPD7URwdCvPj2q8sXZ1/beKno/BuVJvEhCTGDpnCX2cvZSkzfPwA2rzji31heyp71Etf7lbMhc8XTsW+kB06nY7ZHy9k/6+/52b1H+nTmRNp1MSbxIREBvcfy9kzf2VYny+fLV+v+RKPUi+RlpbGnp/8mD7lCwDe7dyWKR9/SEhwGAArl61l7ZrvsrxHbnrVuxLtJvVEZ6Xjz037+HXJtgzrrfNY03XOQEpUKM29mDi+GTSfqKA7OBZ3Zvyvcwi/HgxAwKkrbJ6wAoD+q8dhX9QBnZWOa8f+5ruPVlr0g27vKX2o4lON5MRkFo6ax/Xz17OUKV2hDINnDyWPbV5O+h1n5ZTlAHQa2YXqjb3Q9HpiI2NZMHI+0eFRALxeswK9Jr2PlY01cVF3+ajj+FyNC+ANb0+6TOqFzkrH/k2/sWvJ1gzrrfNY03fOEDwqlCY+Jo7Fg+YQEXQHgJYD2lLvnYbo0/Ssnfo15w+cxiavDeM3Tcc6rw1WVlYc++lPts7dlKsxdZvSG0+fKiQnJrNs1EICsmkvjwql6Td7MHls83Da7yTfTlkJQIFCBRm0aCTOxZ25E3SHBQO+IOHuPVr0e4tabxmuMzprK4qVLUb/yu9xLzYeAKXTMX3nTKJDo5jd69Nci7XXlD5U9qnGfeOxeSOHY3Og8dg85Xecr43H5rvGY1Ov13M3MpaFxmOzemMv3h3ZBb1ejz4tjVVTV/D38Yu5FpOp5+3ce9rnm2tpdwYsHJG+fdESLvwwdyO/fL2LdiPepUrjGug1PXERsSwftZCY8OhciTOzkt4VqT+lGzorHec3+nNs8Y4M64vVKI/35G44v1qC3YMWcmX3sfR1Q2+sIeJvw98PccGRbO89J1frLp4//51P9eL5odPhPrU/N7pPJDU0ktI/ziXu1yMkX72VXiR2uz/R638CwK5hDVwnvE/ge5OJ3eZP7DZ/APKWL0nJpR89cx1D6HSU+LgfV7tMJiUkkvI7viB279H0zh+A6B/3E7n2ZwDsG9eg2Ee9uNZ9Kljp8Jg/gsBhc0m8GIBVYTu0lDRLRZKVTofrlAHc7DmBlNAISm2ZR9y+w4bOH6O7O/yI2bAbgIINvHAZ14dbvSfh8E4zAG60HICVYyFKrJxGQLthoD1DvffGtrvS2dh2O7O2XdSP+4kwtl2hxjUoNqkX17pNBSA5MJS/mw23SNWfRJpez6frfmLpiC64ONjT+eOV1PcsRxl35/Qyy3cdomm113jHpyrXgu8waP5Gfqo4mNQ0PeNXbOOT99+ifAkXYuITsLb6b41MbuPbmM7tWzN++heWrsq/5t2oNh6lS9C4RlsqVa3A1Jnj6NCsZ5Zy+/YcYO3KTfxyJOOH6wEjevPTtr1s+GYLZcqVYvmG+TSo2jqXav9ojZp4U7qMBzU8G1O1eiVmzZ1K0wYdspRb9OVKDh08go2NDT/sWE3DxvX4be8BAH78YTdjR03L7apnS+kUHab1YlHXT4gJjWTU9s84v/c4oVdvp5ep+U4DEmLvMb3+UKq0qkXrsZ35ZtB8ACICw5jp+2GW/a4aOI+k+EQAei0ZQeUWb3Jyxx+5E1QmVXyq4lbKnYHe/ShXuTx9P+7P2Dajs5Tr90l/loxbxOWTl5i4ejKV61fhlP9Jflz6AxtmrwPAt2dL3hnakaUTlpDfvgB9P/6A6d2nEBEcQSGnQrkdGkqno/u0PszsOo2o0EimbP+cU3uPEXw1KL1MvXcaci82njH1B+HVqjbvjO3G4kFzcC9bHK9WdRjfZBiFizry4brJjPEZTEpyCjM6TyE5IQkraysmfP8xZ/1Pcu3UlVyJqZJPFVxLuTHSeyBlKpej58d9mdJmbJZy733Sj5XjlnD15GVGr55IxfqVOet/ilYD2vLX72fZsWQrrfq3pdWAdmya8S27lm5j11JDx2flhtVo9n6r9I4hgGa9WhB8NYh8BfPnSpwAlY3H5mDvfrxsPDbHZXNs9vmkP0uNx+YEk2Nz29If2GhybHYY2pFlE5Zw7vczHNt7BICSr3gwYtEYhjYckGtxPfC8nXvmON9CrwczyXdU+v7nHVnGiT1HAdi9bBs/zNkIQOOevrw1tAOrJyzLlVgzxq1o8HEPfugyg7iQKDrvmMa1vSeIuhKcXiYuOJJfRi6laj/fLNunJt1nXfMJuVnl54NkDuXosZ/slVJpSqnTSqnzSqnvlFL/+squlOqplFr4f2zrbvLaXyl1SSl1Ril1TCnl+QT78FdKVXtMmWH/NEalVH2l1M7H1P2OUuqUUuqKUmqPUqrWP3mPx7x/YaXUAJPX7kqp7x+1jSXlq1SO5MAQUm6FoaWkErvzAHaNa2Yoozd+8AXQ5bfNtgOhcCtvYnbsN3t9/6n8ni+THBDK/ZuG+KJ3HKRQkxoZypjGZ5Uvb3p89vUqk3gxgMSLAQCkxcSBXp9rdX+cfBXLcT8wmJRboZCSyt1dB7Br+GaGMlnbzvBznrIvce+P0wCkRcWiv3sP2zdezrW6P4kCmdtu+6PbTpc/77PVufUY528EU6KoI8WdHbCxtqJZjdfxP305S7n4pGTD/4nJOBe2A+DPC9d5uXhRypdwAaBwwfxY6f5bnUPVPN+gkL2dpavxf2nYzJutmwydr2dOnMeukB3OLk5Zyp05cZ47YZFZlmsaFLQrCICdfUHCQ++Yt8L/QHPfhmzeYOjMOnHsDIUK2eHi4pyhTGJiEocOGv4wS0lJ4eyZC7i7u+Z6XZ9ESc+y3AkMI/JWOGkpaZzc8QdvNKmeocwbTapxdIvhPnZ692HK1arw2P0+6BjSWVthbWONZsFrUI3GXvhv8QPg8qlLFLAvgENRhwxlHIo6kK9gfi6fNGS4+W/xw6uJ4Z6faHI9tc1vm345rfdWPQ7//CcRwREAxEbGmjuULEp7liUsMJQ7t8JIS0nlyI5DVMnUflWa1ODQFn8Aju3+k9dqvWFcXp0jOw6Rej+ViKBwwgJDKe1pyMBMTkgCwMraCitr61y9hVRt/LC+105dpoB9AQpnaq/CRR3IVzAfV08a7g2HtvhTrYlX+vYHjdsf3OJPtUz3R4A336rDn9sOpr92dHXCs0FV/Df+aoaIclbd5Ni8cuoS+XOINX+mY7N6NsdmXpNjM8nYfobledGwzPn3vJ175jrfHni99huG6/Ftwz0vKUP75sVCzYirZxliAsKIvXkHfUoal3YcpkyTqhnK3A2KIOLvWzIUSuSKJ8kcStQ0zRNAKbUO+ABIz1lTSilAaZpm7r9gewLngWCTZV00TTuulHoPmAU0fgrvMwxYCyQ8hX2Z2qRp2iAApZQP8INSykfTtCfKRVVKWWualprD6sLAAGAxgKZpwcDbT6HOZmHj6kRKyMM/SFJDIsjnWT5LOcduLSjSqw3KxpobXbP2ihdqUZfAfh+bta7/Rh5XJ+4bb6oA90MiKeBZLku5It19KdqnNcrGhqvvTgQgb2l3QKPMt1OwdrQnesdBwr/ammVbS7F2dSI15GFsKaER5KuUte0curTEsVdblI01gd3GAZD893XsGtXk7q792Lg5Y1uhLDZuziSdzdo5YSk2mdouJSSS/JWzabsevrgY2+5Kx4npy/OUcOGVn+aSFp9A8Kx13Dv6V5ZtLSk8Og5XB/v010Ud7Dh3PThDmf6t6/HB3PVs2HeMxOQUlo3oAkBgWCRKwQdz1xMdl0Cz6q/xXvOn1sctnpCLmzOhwaHpr8OCw3BxLZptR1B2FsxaytebF9Ht/XfIlz8fPdvn/jfeOXFzd+F20MPYgm+H4ebuQlhY9h1Y9oXsaNqsAcuWrElf1qp1E96sVY1rVwOYOO5Tgm+HZrttbijs4khM8MN2iQmJpGSmP1gKmZTRp+lJikuggIOhA9OphDNjds0gKT6RnV9s4vqxv9O3679mPCUrleEv/9Oc3n04F6LJnqOrExHBD9snMjQSRxcnok2GZzi6OBEZ+vC6GhkSgaPrww7NzqO7Ur+dDwlxCUx613Cvdy9VDCsbK6Zt/IR8BfOx6+sd+P/glwsRPeTg4kiUyf0gKiSKMp4v51hGn6YnMS6Bgg52OLg4ce3UZZNtI3FwcQQMGQxTd87EpaQrv337M9dP507WEICDqyORpjGFGuplOpzGwcWRqNCHx21USCQOroa62xcpnF42Jjwa+yIZs0ry2OahondlVn+0In1Z18m92PDpGvIVzGeWmHLi5OpEpMmxGRUaiZOLU4ZYnTIdm1EhETiZHJudRnfF23hsTnn34efQGk1r0mVMd+yLFOKz9yyTqfi8nXvmOt8e8GpVm8PbD2VY1n5UZ2q38yYxLoEZnSY/7ZCeSEFXB+KCo9Jfx4dE4epZ5om3t85rQ+ed09Cn6jm2eAfXfjlhjmo+f56d792fOf/0a9+DQFmllIdS6qJSajFwEiihlOqklDpnzDD6/MEGSqn3lFKXlVL7gdomy79RSr1t8jre5Ocxxn2dUUrNMJarBqwzZjFlvsP8CRQz2b6JUupPpdRJY7ZTwcyBKKWWKKWOK6UuKKWmGpcNAdwBP6WU36P2pZRqppT6Wyl1CGiXef+PommaH7AM6GvcV3pGk1KqiFIqwPhzT+N77gB+UUoVVEr9ZqzLOaXUW8ZdzgDKGH83s4ztc964D1ul1Cpj+VPGjqkH+/5BKfWzMZtp5j+J4anL5quzqG93cdmnD6Ezv8F5YMcM6/JVKoc+KZnky4G5VcMnp7JZlk18EWt281fdDwj+bDUuQ94xbGplRYFqrxEwZDaX24+lcNOaFKxd0cwV/ieyCS6b2KLX7eRaw96Ez1pFkQHvAhDz/S+GoWhb5+MyoS+JJy+ipT5DQ+bgydtu9W4u1PmA25+txtXYdinhUZz3ep+/mw8naNrXlFowEl0ufxh+nOy+4VSZYv7p6AVa16rE3llDWTT0XSas3IZer5Gm13Pq6i0+e78N33zYg32nLnHkWRvS+QJQmRsM/lHmSMu2zdi6cQf1KrWgT6ehzFo8Ldt9WsI/ic3KyoplX89l+dI1BAYYhn3u+dmPyhV88K7VmgP+f7Doq8+z3TbXZBvPY4ugaRp3w6OZXGsgM1uMZev0NfSYPxhbk+vJku6fMrHGB1jnsXmibCNzyan+/6TM+llr6ftmbw78uJ/mPVoAhqyoMhXK8sl705jWbTJvD+mIWyn3rDsyoyc5HnMsk+29xPifXs8k31EMf7MvpSu9TLFyJZ5GdZ/I/xXTE6jcqDqXj/+dPqTMs0FV7kbGZjuvkdk9wbH5uDIbZq3lgzd7c/DH/TQzHpsAR/ccZmjDAczs8ynvjuzytGr8jzxv5565zjcAKxtrKjeqztHdGYffbvliPSNq9ePPbQdo1KP5v6r3/+0J7hOPsuLNoaxvOYmfhizCe3JXCpUs+hQrJ15ET9w5pJSyBpoDD2aQ/FGcWgAAIABJREFULQ+s0TStMpACfA40ADyB6kqpNkopN2Aqhk6hxsBrT/A+zYE2gJemaZWAmZqmfQ8cx5Ap5KlpWmKmzZoBPxq3LwJMBBppmlbFuN0IspqgaVo1oCLgrZSqqGnalxgyk3w0TfPJaV9KKVtgOdAKqAv8m5z2k8ArT1DuTaCHpmkNgCSgrbEuPsBsY+bWWOCa8XeTecDxQABN094AOgGrjfUHQ1t1BN4AOiqlsnxCUUr1NXaiHV+27OmMxU0JjcTG7eFQAWu3IqSER+VYPnbHAeybZBx2VqhVPWKfwSFlYMgUyuNeJP11HjenR8YXvf0ghY0p2/dDIok/cp606Di0pPvE+p0gf4Un/wbB3FJDI7B2exibjWsRUh8R292d+7FrbBx2lqYn/NPl3Gg9mKD+09HZF+B+4O0ct7WElExtZ+PmRErYI9pu20EKNzW0nXY/1TAMEEg8d43kwBBsSxfLcVtLcHGwJzT6bvrr8Og4ihbOOMxq66HTNK3+KgCVyhQnOSWV6PgEijrYU61cSRzs8pMvrw113ijLxUDLZWW8SLr06sA2v3Vs81tHeOgdXE2GUbm4uxCeQ2ZNdt7u0prd2wzDO04fP0fevHlwcCr81Ov8pHr16YLfoW34HdpGaEg4xYo/jM29mAuhIeHZbjfny+lcvxbA0sWr05dFR8Vw/75h8v4132ymkqflOk0AYkIjKez+8Fv6wm5O3M004WlMaFR6GZ2VDlu7/CTExJN6P5WEGMMf2LfO3yDiZhjOpdwybJuanML5X4/zRuNHjpZ/6pp192X27nnM3j2PqLAoipjMWfY/9u47vqbzD+D450mImUQi20pQ1VKC2CEJYqQ2NWpXUbNmiVXUVqNq1GyrdGhpVWmVSuyZ2LRW7QxZZhIk5/fHvZKb5Ibwc3NJv+/XKy/JOc85vs+95zn3nOd+n+cUdimcMqntY9Hh0RR2ST2vFnZ1INbIeXXXhh3U1GcjRodFcWRHKInxidyJvcPpg6dwf8PDRDUyLiY8GnuDzwN7V3vi0tXNsIyFpQX5rPNzL+4useHR2Bu89/auGV+X+7fv8/f+k1TwqWTCWkCDro2Zsnk2UzbPJjYihsKGdXIpnGES3pjw6DTZJfauhYmL0JW5HRWXMjSrkJMdt6PSDjmq2cybfQbZGWW8ylK5QVXm7v6C/p8P5c1ab9F33ocvvI6PNe4awKzN85i1eZ6+rqnHpr1LYWKecmzauzoQk8mxWcNIpuyZg6dwLuGKtV32DFfOyW3PlO2tgm8lLp+8mOF4fWzfht14Na5hdJ2p3Q2LwdotNcupoKs9955hYux7EXEA3Lpyk2v7z+BUrsQLjzEn0pK1bPt51WSlcyifUuoouo6RK8AK/fLLmqY9zmWuCgRrmnZTP/RpDVAXqG6w/AGQlUcyNAC+1DTtPoCmaZnfmekyia4BI4HP9ctqoOuE2qOPuxtgrKW0U0qFAkeAchjvuMpsX2WBfzVNO6fpurVXZ6Fe6WX1q9qtBq+BAqYqpY4D29BlSzk/ZXtv4BsATdP+Bi4Dj8fJ/KVp2i1N0xKA0xh5nTRNW6ppmpemaV69e/fOYshPFn/8LHnc3chd1BmVOxe2TetyZ9uBNGWs3FO/pbD2q8qDSwZDX5TCtok3cRt3vpB4XrT7x86Rx8MVq2JOqNy5sGtWh1tbD6Ypk8c99SLfpr4XiZfCALizM5R8Zd1Rea3A0gLrGuVJOHclW+N/kvgTZ7HSv3fkzoXN23W581faIQ25S6S+dwUN3juVNw8qXx4ACtSuBEnJaSayfhncO3aOPO4G713zJ793tvW9SNC/d7nsbUA/B49VcWfyeLiReOXl6jwp5+7GlYgYrt2M5eGjJP44eAqfimmHzbna23JAP+fVxRtRPHj4CHvr/NQuV5Kz1yKJT3zIo6RkQs5epqTBhZwwnTUrf6SFXyda+HVi2+/BtGqvm5SyYpXy3L19N8tDygDCrodTs65uHodSr7ljlTcPMVHmeUILwMpla/DzboGfdws2b9pGu46tAKhStSK3b981OqQscNxgbGysGTNySprlhvMTNQ6oz9mzF0wb/FNcOXYBR3cX7Is6YpnbksrNanFi6+E0ZU5uPUy1Nj4AeAbU4NzeUwAUtLdGWeguEwoXc8LR3ZXoKxFY5c+DjaOuM8/C0oI3/SoRcSHt0FBT+2PVZoYFDGZYwGAO/nkA3zZ+AJSp9Dr379xPM6wFIDYyloR78ZSppBuC7NvGj4P6CX1dDc6nVf2rcf2CbvLZg1sP8Ea1N7GwtMAqrxVlPMtwPZs/L/49dh5nd1ccijphmTsX1Zt5cyTd+3dk6yG82/jq4g+oyZm9J/XLD1O9mTe5rHLhUNQJZ3dXLh49j7W9DfltdNNa5s5jxZu1K3Djgmm/JNm26g/GBAxjTMAwQv48mBJvqUpluH/nfobOobjIWBLuJVBKP6Tau40vIfrPwdBth6ij376OwXKAfNb5KVvjTUL/TF22duYaBtXoxRDvD1g4cA6n955g8eDPTFbXP1ZtZkTAYEakOzZf0x+bxuoafy+e1wyOzceTTbtkcmy6lEhd7lG+JLly5+JO7B2T1clQTm57pmhvj9Vo7s3+jWmHlDkb1L9SAy/CTNwOMxN+7CJ2Hi7YFHPEIrclrzerwcWtoVnaNo9tfiytdDPE5LUriJtXGaLPvVxfuopXzzPNOfSYPq3vnuGiJ2yfWZfZI/SdU/rsFyuDfWW1m60TcAzdsKqF6IZ3KXQdKh0z20gp5QEMB6pqmharlPoKyGusqLF96Se//n+7AisBj+cbSnktjMRh+Dp3AhyBKpqmPdQPPzMWt6EnvTeJBr8nkV1Pr0tK5saEL3D/ehLKwoLYH7eSeO4KToM7EX/iHHf+Ooh9l6YUrF0R7VESSbfucm343JTNC1Qrz8PwKB5ejciWcJ9ZUjLXxi2l1DcTdI+y/+EvEs5exWXou9w/cZ7bWw/i0P1trL0roj18RNKte1weOk+36a17RC7fwOu/zQZN43ZQCLe3v0Tjh5OSCZ+4mGIrJ+seZf/Tnzw4fwWHDzuTcOIcd7cfwL5LMwrU8kR79IikW3e58dFsAHIVtqXYysmgJfMoPJrrw1/CJ0YlJXN13FJKr0773rkOe5f7x89za+tBHB+/d4/0790Q3XtXsHo5XIe9i5aUpNtP4GKS4u4++f/LZrksLQh8tzF9531HcnIyLWt7UrqIIwt/Caacuxu+nmUY1q4Bk77exOqtB1BKMem9ZiilsCmQjy7+1Xl3ygoUijpvlaZuhZdrQvGnGfHxdA4dOU5c3G3qt+xMv55daNOskbnDeibBW/fg06A22w7+Qnx8AoGDJqas2xC0hhZ+uiEOI8YPolmbRuTLl5edxzbx4+oNfD5rKdPGz2Py3LH06PMuGhqjBk4wU00y2rolmAYNfTh0bBvx9+MZ1C8wZV3Q7g34ebfA1c2ZYSP6cfafC2zf9QuQ+sj6Xh90pXFAPR49SiIuNo4BH2R8ClN2Sk5K5qfxK+m3ajQWlhbsXxtM+LlrBAx5hysnLnJyWwj71gbRZc4AxgV/xv24u3w1UHfjXKraGwQMbUdyUjLJScmsHbOM+7fuYe1gS6/lH5HLKhcWlhac3XuKPWu2mq2OIdsPU9mvCot2LtE/Tnt+yrrZm+cxLGAwAEvGLNY/TtuK0OBQQoN0n2udR3WjSMkiJCdr3LweyZLRiwC4fv4aR3aEMnfLfLRkjW3fb+XK2ez9oiQ5KZlvxi9nxKpxWFhasHPtdq6fu0qrIR24dOI8R7YdZufav+g9ZxAzgxdwL+4uiwbqrlWun7vKwd/2Mm3rZyQ9SuKb8cvQkpMp5GRHr9kDsLCwRFkoDm7ay7Fs/Iw/uj2Ein6Vmb1zEQ/0j7J/bMrm2YwJGAbAl2OW0Fv/KPtjwaEcC9LdrG5ctJ6Bi4bj074+0TeimN839XPcq1F1Tuw8RmJ8Ii+DUP2xuUB/bC4yODZnbZ7HCP2xuWzMYv2j7K04EhzKEYNj061kETT9sblUf2zWaFITnzb1ePTwEQ8SHzC3v3lmZchpbc8U7Q1082CV967IV6OXpPn/3hnZGdeSbmjJGlHXb/L1mCUZYsoOWlIy28d9TetvPkJZWnDqhx1En71OzaFtiDjxLxe3huJcoSTNlg0mr21+SjaoRM2hbVjVYBT2pYvQYNp7aMnJKAsLDi3amOYpZ0I8D/W0ccRKqbuaphVMt8wd+E3TtPL6v12B/UAVIBbYgi6T56B+eWXgNrAdOKZp2gCl1FjAWtO0kUqplsDPmqYppVRjYDy6oVz3lVL2mqbF6OfdmaOfrwelVDAwXD8hdT7gAlAfiAJCgHqapp1XuiePFdU07ezjbdANg1uFroPGETgOjNQ07Sul1AmguaZp/yqlHI3tC10G1Vl0w88uKKW+09elaSavYXfAy2BCah90WVR+mqadUUotB0I0TVuslBoMDNY0zd3Idh8CpTVNG6ifO2g74AHcAUI1TSuR/v1RSg0Fymma1lMpVQbYii5zqGO6ff8GfKppWnBmxwKgnSxptIo5QvmLv3GkeIunF3wFVbqygTOvZXwEZk7xxrnNhBbLme8dQOWrG0jY9Y25wzCZvHW68DDKDHNSZJPcDiUp45i9Q3+yy9mbh3GwyThpe04Rdfssg9zbP73gK2r+pR9oXaK5ucMwmfWXf6Wbextzh2EyX19aR+cSzzTt5Stj9eX1tM3Bx+ZPl3+VtvcK+/rSOuYW72zuMExmyJXVL8dkhCYS19Ev28Z7Ffou6JV6LV/Ic4g1TQsDAoEgdJk8oZqmbdAvn4Buwuht6ObZeWwZurl+DqIbfnZPv68/gF+Bw/qhXMP15b8CvjA2IbV+DqLZ6DqLbqJ7stl3+uFX+0k3t4+macfQDSc7BawE9hisXgr8rpQKymxf+mFYvYFN+gmpszIrcnt97GeB0UAbgyeVfQr0VUrtBZ40TmMN4KWUOowui+hvfX2i0Q19O6mUmpVum0WApb7T6wegu6ZpL8fXOkIIIYQQQgghhDC7pw4jSp81pF92CSifbtm3wLdGyn4JfGlkeQS6OX0eCzRYNx3dUDHD8uuAdQaLfNOtn23w+3Z08yCl/z99DX7vnn69fvnnpM5f9KR9/UHWJpRG07Sv0HVuZbb+b3QTYz821th2mqZFoZug2tg+3k23qLx+eQK6Dq4nxpRZ1pMQQgghhBBCCJEjyKPsM/VCMoeEEEIIIYQQQgghxKspeyYg/o9QSvUA0j+jc4+maf3NEY8QQgghhBBCCCF0XsVHzGcX6Rx6gTIbQieEEEIIIYQQQgjxspLOISGEEEIIIYQQQuR8MudQpmTOISGEEEIIIYQQQoj/MMkcEkIIIYQQQgghRI4ncw5lTjKHhBBCCCGEEEIIIf7DJHNICCGEEEIIIYQQOZ/MOZQpyRwSQgghhBBCCCGE+A+TzCEhhBBCCCGEEELkeJpkDmVKaZpMyCSyTA4WIYQQQgghhMi5lLkDMKXoZj7Zdk9beOOOp76WSqnGwGeAJbBc07Tp6dZ3B2YB1/WLFmiatly/rhswVr98sqZpX/8/8UrmkHgmRe3LmzsEk7kWc5LKrt7mDsMkQsN2U7OIn7nDMJl914NoVKyJucMwmS1Xf8ejcEVzh2Ey/0Yfo4yjl7nDMJmzNw/zMOqiucMwidwOJUk8udXcYZhMnvL+Of7cOdy9o7nDMJlPL31HL/d3zB2GySy79CMdS7Q0dxgm8d3lX+hcorW5wzCZ1ZfX81EObnszL31Hi+JNzR2GyWy48huVXGqbOwyTORK+x9whmNZLlDmklLIEFgL+wDXgkFLqV03TTqcr+oOmaQPSbWsPfAx4oUviCNFvG/u88cicQ0IIIYQQQgghhBDZqxpwXtO0i5qmPQC+B1pkcdtGwFZN02L0HUJbgcb/TzDSOSSEEEIIIYQQQgiRvYoAVw3+vqZfll4bpdRxpdRPSqliz7htlknnkBBCCCGEEEIIIXI8LTn7fpRSvZVShw1+eqcLx9icROnnRNoIuGuaVgHYBjyeVygr2z4TmXNICCGEEEIIIYQQ4gXSNG0psPQJRa4BxQz+LgrcSLePaIM/lwEzDLb1Tbdt8HOGCkjmkBBCCCGEEEIIIf4LkrPx5+kOAa8ppTyUUlZAB+BXwwJKKVeDP5sDZ/S/bwEaKqXslFJ2QEP9sucmmUNCCCGEEEIIIYQQ2UjTtEdKqQHoOnUsgZWapp1SSk0CDmua9iswSCnVHHgExADd9dvGKKU+QdfBBDBJ07SY/yce6RwSQgghhBBCCCFEjqe9RI+yB9A0bTOwOd2y8Qa/BwKBmWy7Elj5omKRYWVCCCGEEEIIIYQQ/2GSOSSEEEIIIYQQQogc72XLHHqZSOaQEEIIIYQQQgghxH+YZA4JIYQQQgghhBAix5PMocxJ55Awm0nTAqnnX4f4+ASG9B/DyeNn0qzPmy8vS76cQwn3oiQlJ7Ptj2CmTZoHQK9+XenYpQ1Jj5KIjoph2MBxXL8WZo5qZGrEJx/iXb8mCfEJfDx4Kn+fOJuhTP9RvXm7bSNsClnjXbphhvX13/Zl1vLJdGrckzPH/smOsLNkyKSB1KpXnYT4BD4ZMoOzJ89lKNNnZE+atG2Ita019csEpCzv0PsdmncMIOlREnExt5gydCbh1yOyM3yj+k78gGr1qpIQn8jsobM5f/JChjKl3yrN8DlDyZM3Dwe3H2Lxx18AMHrRKIqWLApAAZuC3Lt9l36NB6Rs5+jmyLLtS1g9dw0/LVmXPRXKoo+njcS3gTcJ8QkMHzCOU8f/TrM+b768LFw5ixIexUhKSuavLTuYOekzM0WbNWOnDsenQW3i7ycwatAETh/P2HaGjO5Hy3YB2BSyoZJ73ZTlrkWcmbFgIja21lhYWDB78gJ2bNuTneE/t7FT57Bzz0Hs7Qrxy+ovzB3OM9t95DQzVv5EcnIyrevXomfrtOfEG5ExjF+0mthbd7G1zs/UD7vhUtgOgA8+WciJs5eo9EZJFozua47wsySnnTtf96lIi/FdsbC04MAPQQQtTvP0XSytctFxTj+KlvfgftxdvhnwGbHXoqjUoja+fZqmlHMtW5x5TUdz4/Rl3v96FDZOhbCwtOTfQ3+zftxKtGQtu6sGQDkfTzqM74GFpQW7fviLPxb/kmZ9LqtcvDdnICXKl+Ru3B2WDphL9LWbvOFdgTYjO2GZOxdJDx/x09Rv+HvfyTTb9l82EsfiTkxoNCw7q5RGtwnv4+lXhQfxiSwePp9LJy9mKONRvhQfzB6EVV4rjgaF8PWE5QBUD6hF2yEdcCtdlHHNR3DxROpnZvGyJeg5rS/5C+YnOVljbPPhPEx8mC116jKhJ55+lUmMT2Tp8AVG6+ReviR9Zg/U1ymUbyasAKCAbUEGLByGY1FHbl67yef9PuX+7XsAvFGjHJ3Hv4dlbkvuxNxhSvtxAMzd/QUJ9+JJTkomKSmJ8c0+ypZ6ltG3PWVpwcEfggg20vY6zOlHEX3bW2PQ9nwM2p5L2eJ81nQ0Yacv49m8Fn79WoAGtyNj+W7wQu7H3smW+hjTa2Jvqvh5kRifyGfD5nHRyHVZqbdKMWj2EPLktSIk6DDLPl6aZn3L3q3oMbYnnSu+y53Y27Tq05q6LX0BsMxlSdHSRenq2Ym7t+5mR5Uy9dHkwdR+fM/w4ZRM7xmavtMYm0LW1C7ln7K8WfsAhozvR2RYFAA/rFzHz99uzLbYRc4iw8rSUUolKaWOKqWOKaVClVK1XoKYgpVS/+hjOqSU8szCNoOVUvmzI77nUa9BHTxKFcfbK4CRQyYwbfY4o+WWLPgS3xrNaezTFq/qlfBr4A3AqeNnCKjXHv86rdn061bGTDTfxZUxtevVoHjJYrSo1YHJI2YROH240XI7/9xD14DeRtflL5CPju+35UTIKVOG+sxq1qtOMY8ivOPdmekjZ/PRtCFGy+3eupeeb2e8STt78hw9mnxAF//32b5pB/3H9jF1yE9V1a8qRTzc6FGnJ5+NnM/AqQOMlhs0dQCfjZxPjzo9KeLhhpevFwBT+02nX+MB9Gs8gD2/72bP73vTbPfBx705FHTY5PV4Vr4NvHEvWRy/qs0IHDqJyZ+ONVpu2cJVNKjRkqa+7fCq5olP/drZHGnW+TSojXvJYvhXa8W4YVOYONPowx3YvmUnbRt1y7C839Ce/L5hKy3rdWJI79F8PGOkqUN+YVoG+PPFnMnmDuO5JCUlM3XZWhaP6ccv88by++4QLlxN2+E/e9XPNPOpxrq5o+nzThPmr069GereogFTBnXN7rCfSU47dyoLRatJPVjefQaz/IdTqXktnEsXSVOmejs/4m/dY7rvEHau2Mzbo94F4MiGPcwNCGRuQCDfDVlE7LWb3Dh9GYBv+n/GnCaj+LThCArYW1Px7RrZXjcAZWHBu5N68ln3KYz3H0K15rVxLV00TRnvdvW4f+suY3wHsm3Fb7QZ1RmAu7G3+bzndCY2HsbKYQt4b+7ANNtValSNxPsJ2VYXYzz9quDi4coQn74sC1xEz8kfGC333pQ+LA9cxBCfvrh4uFLRtzIAV89eYU6f6fx94HSa8haWFvSfN4QVo79ghP8gPmk/lkcPk0xeH4CKfpVx8XBlmE9/VgR+QffJxq+vekzpw4rAxQzz6Y+LhysVfCsB0KxfK07vOc5w3wGc3nOcZv1aA5DfJj/dJ/dmzvvTGOU/mM/7fZpmf1M6jGdMwLBs6xh63PZWdJ/BbP/heDavhVO6tldN3/Zm+g5h14rNBBi0vXkBgcwLCOR7fdsLO30ZC0sLmo/vypKOk5nbZCRhZ65Qu1vGLy2zSxU/L1zd3figbm8WjlpA3yn9jJb7YEp/Fo1awAd1e+Pq7kZl3yop6xxcHfCsU4nIa5Epy35esp4hTQYxpMkgvpnxNaf2nzR7x5B3/ZoUL1mUFjXbM3n4TEbPyPyeoUuTXkbXbdmwnQ4NutOhQXfpGMoKTWXfzytGOocyitc0zVPTtIroHhk3zdwB6XXSx7QImJWF8oOBl7ZzqGGAHz99r7uwDz18HBsba5ycHdKUSYhPYO/uQwA8fPiIk8fP4OrmDMDe3YdIiE/Qb38sZfnLwrdxHX778Q8AToSewtqmIA5OhTOUOxF6iqjIaKP76DeyF18v/JbExAcmjfVZ1W1Um99/+hOAU6FnKGhbgMJO9hnKnQo9Q3RkTIbloXuPkpiQqCsTchonV0fTBpwFNRvWYNu6vwD4+8jfFLApiL2TXZoy9k525C+YnzOhusyabev+olajmhn2VbdpXYI2BKfuu1FNwq6Ec/nsZdNV4Dn5N/Fj/Q+6i4ijh09gY2uNo5F2uD+Tdvgyqt/Yh59/0D0N9FjISaxtrXF0ztj2joWc5GZExranaVDQuiAA1jYFiQy/adqAXyAvz7ewtbE2dxjP5eT5SxR3caCoiwO5c+eisXdlgg4dT1Pm4tUwqld4HYBq5csQdOhEyroaFV6nQL482Rrzs8pp587inqWJvhxOzNVIkh4mcXTjPso19EpTplzDKhxetxOA45sP8Fqt8hn2U6l5LY78mtqhnng3HgCLXJbkyp0LTTNP1pCHZ2luXg4n6mokSQ8fcWjjHjzT1c+zYVX2rtsBQMjm/ZTV1+/qqUvciowF4MbZq+TOk5tcVrpk/Tz58+L/fjM2fW7eLNIq/tXYtS4YgPNHzpLfpgCF0n3uFXKyI1/B/JwL1WVf7loXjFfD6gDcOH+NsIs3Muy3Qt1KXPn7ElfOXALgbtwdtOTsGcNRxb8au/V1unDkLAUyrVM+zofqMjN2G9TJ8DXR1bUaALVa1OXQH/uJvqHLzLgdfSsbapO5Yp6liTJoe8eMtL03Ddreic0HKG2k7Xk2r8XRx21PKVAKq/y682he63zcjog1bUWeoFrD6gSt2w7A2SP/UMCmAHbp3ks7JzvyF8zHP/rrsqB126neKLUzuefHvfhq6peZnkPqNK/Lzl93mqgGWefTyJvf1hreM1g/8z2DEC+KdA49mQ0QC6B0ZimlTiqlTiil2uuX+yqlfnu8gVJqgVKqu/73S0qpifoMpBNKqbL65QWVUl/qlx1XSrXRL2+olNqnL/+jUqqgkZj2AUUM/r/FSqnDSqlTSqmJ+mWDADcgSCkV9KR9K6WmK6VO6+P41Mj/ZxIurs7cuB6e8nfYjQhcXDO/4bSxsaZBIx927ziQYV3Hzq0J2rbLJHE+LycXByJupH5TERkWiaOrwxO2SOv18q/h7ObErm17n144mzmmq9vNsCgcXbJeN0PNOgawLyjje5rdHFwKc1N/0QcQFRZF4XR1KuziQFRY2jIOLmk/vMtXL09sVCw3LukumPPky0O7vu+weu4aE0b//JxdnQgzGJaia4dOmZa3trGmfiMf9uw0/3uWGWdXR8JvpJ5bIm5E4OySeZ3S+3zWEpq3bcLOY5tY9t1nfBKYlb548f+KiLmFs0Pqhb+zvR2R6W7AyrgXYdu+owD8deAY9+ITiLtj3m98n0VOO3faOtsRdyP1RiUuLBpbZ7t0ZexTyiQnJRN/5z757dJ2YFZsWjP1BlWv16pRTAj5goR7CRzfbJ56FnK2J8agfrFhMRRK19FcyNmeWP1nx+P6FUxXv8pNanDl1L88evAIgBbD2rN1+UYe6Dv6zMXexT6lswMgJjwae+e0nZX2zvbEhKe+BtFh0di7ZOzQNOTq4YamwahVHzN102ya9Wn1YgN/AjsjdbJLVye7dHWKCYvGTl8nG4dCxOk79eIiY7FxsAXAxcONArYFGfP9JD75bRberX1TttfQGLX6Yz75bRZ+HVOH+piSrbMdtwyOzVth0dgYaXu3DNpewlPaXvKjJH4eu4Khf8xg7MFFOJUuwsEfgkxck8wVdimc9porPJrC6a65CrsUJtrw+DQoU82/GtHh0Vw686/R/VvlzUNl3ypJCgUlAAAgAElEQVTs22z+YeNOro6EG3w2RIRFPnPnf/23ffhh+9fMWj4ZZ7esX/P8V2nJ2ffzqpHOoYzy6YeV/Q0sBz7RL28NeAIVgQbALKWUaxb2F6VpWmVgMfA4T3AccEvTtLc0TasAbFdKOQBjgQb68oeBoUb21xgwHPQ+RtM0L6AC4KOUqqBp2nzgBuCnaZpfZvtWStkDrYBy+jiybTyCUhnT7DLr2be0tGTh8pmsXLqGK5evpVnX+p2mVKhUji8+/9IkcT43I/Uji19+KqUYNnEQcyYseLExvShG37tn302j1g0oW/F11iz+4QUE9X/KwvFo/JhN+7dfC1+CN+xI+bvrsC78vPxnEsw8fCAzRg/TJ7TD+cum89XSb7l6+bqJI3t+z3JuMaZpq8b8/P1G6lZ8m14dP2TWoklG9yleMCPvUfqXfVi3VoScPk+74dM5fOo8TvaFsLSwzKYAX4Ccdu7MSn2Mn2RSfi3uWYqH8YmEn0372b6s63QmVetHLqtcRjMesoPRZp+lz4XUMm6vFaXNqE6sHq2bB6XYm+44lXDhyJaDLzTW55GVz7TnOWYtclnwetU3WPjhHCa0CcSrcXXK1a7wf0SadVk5/z/PZ4RFLgs8ypfi0x5TmNFlEi0HtcXFQ3cLMKn1aMa+PZxZ3SbToGsTXq/25v9RgyzKyjXmU9peMc9SPIhPJELf9ixyWVKjsz/z3g5kcrV+hP19Bb9+LV9g0M9GkZX3yfjxaZU3D+8MaM+3s1dnuv9q/tU4c/iM2YeUwf9/3bLzz928XbUt7et148DOw0yab3yKACGyQiakzihe0zRPAKVUTWCVUqo84A18p2laEhChlNoBVAVuP2V/6/X/hqDrYAJd51KHxwU0TYtVSjUF3gT26E8SVuiyhB5bo5QqAFgClQ2Wt1NK9Ub3Xrrq95E2Fx9qZLLv20ACsFwptQn4Ld126PfdG2DJkiVPqeqTdevZgXe7tgXg2JGTuBVxSVnn6uZMRHik0e1mzJvAvxeusOKLtCd5b58aDBzWm7ZNu/PgQfZMdPgk7bq3plWnZgCcOnYmTc+9k6sTN8OjMts0jQIF81OqrAfL1n8OQGFHe+Z9NYPB3UeabVLqNt1a0rzT2wCcOfp3mro5ujoQFZG1uj1WtU5lug/qTL82g3lopveuWbemNOnYGICzx87i6Jb6Db6DqwMx6YYcRYXdxME1bZlogzIWlhbUblyLAQGDUpaVrfQ63gHe9Bzdk4I2BdA0jQcJD/j1a/ONB+/Ssz0duuhORcePnMK1SGrGnq4dGh9GNXXueC5dvMKXS16+LKhO771Duy66i9gTR07j4uYCHAPA2c2ZyIisDw1r26k5Pdvr3sOjh0+QJ48VdoULERNlvvT6/wLnwoWIMHiNI2JicbS3TVPGyb4Qcz/SzbdwPz6RbfuPYl0gX7bG+axy4rnzsVvhMRRyS/0mv5BrYW5HxqYrE00ht8LcCo/BwtKCfNb5uR+XejPm2SztkDJDjxIfcnpbKOX9q3Bu9wmjZUwpNjwGe4P62bnaE5duuF9seDR2bg7EGtTvnr5+di729FsygpVDF3Dzii5Ds2TlMpR4qyTTdi/E0tIS68K2DP9+Ap92mJAtdfLv2oR6HXTzyFw8fo7CBp979i6FiU1Xv5jwaOwNsjUKuxYmNiLjkMc024RFc2b/Ke7oJzI+GhSKR/mSnNqT/tL0xWjQtTF+HXQZOxePn89Qp7h0x2T6Otm7FiZOP3zqdlQchZzsiIuMpZCTHbejdNmLsWHRHI+5Q2J8Ionxifx98DTF33An/N+wlP3fjr5FyJYDlPJ8jX8Opp2H6UW7FR6DrcGxaZtJ27M1aHt5jbQ9w4w9tzdLABBzRXctfnzTfvz6NjdlNTII6Po2/h0bAXD++Lm011wuhYlJd+xFh0elySYq7FKYmIhoXEu44FTMmXl/6K6jHVwdmLt5HsObDyXuZhwAdZrVZZfBl3nZrV2P1rTupHt9Tx09g4vBZ4PzM9wzANyKTb0VXb/6VwaNfXkfyvCy0JLlS7/MSObQE2iatg9wABwx1j2t84i0r2PedOsf5w0nkdoZpzDSxw9s1c935Klp2puapvU0WN8J8AC+BRYCKKU80GUj1ddn/mwy8v9num9N0x4B1YB1QEvgDyOvwVJN07w0TfPq3dv4xH5Z9fWK72nk05ZGPm35Y9N22nbQnRQre1Xgzu27RBq5SB4xeiA2NgX5ePT0NMvLvVWW6XM+5r13BxAd9eQLleyy9qv1dPTvQUf/HgT/voum7+g6Ht6qXI67d+5meZzw3Tv3qF+uKU2rvUPTau9wIvS0WTuGANZ9/QvdGvaiW8Ne7NyyhyZtdReX5Sq/wb3b94zOj5GZMuVK89H0oYzoMYbY6DhThfxUG7/+LWUS6b1b9tGgTX0AylYqy/0794hJf0EZGcv9e/GUrVQWgAZt6rPvz/0p6yvXqcTVC9eIMvhAH9ZmBN1qdadbre78vOIXvl/wg1k7hgC+WfEDb/u2523f9vy5OYjW7XUdmp5eb3Hn9l1uGmmHw0b3x9qmIJNGz8zucLNkzcofaeHXiRZ+ndj2ezCt2uue8FSxSnnu3r5rdG6hzIRdD6dm3aoAlHrNHau8eaRjKBuUK12Cy2E3uRYRxcOHj/hjdyi+XmmzDWJv3yVZP3fJ8vVbaFXPPBMVP4uceO587OqxCzi4u2Bf1BHL3JZ4NqvJqa0hacqc2hqCVxvd0wArBFTn/N7UBywopagQUJ2jG1O/B7PKnwdrx0KArsO9rJ8nkRcyzmuTHS4dO4+TuysORZ2wzJ2Lqs1qc2xr2gcLHN16mFptfACoElCDf/bqnkiWzyY/A78MZP3Mb7kQkvrZvWP1n4yo3odA7/7MeGccEf/eyLaOIYCtq34nMGAIgQFDOPznAeq08QWgdKUy3L9zL0NHSlxkLAn34ildqQwAddr4ErL1yVlPx3ccofgbJbDKa4WFpQVvVC/H9XNXTVIfgG2r/mBMwDDGBAwj5M+DeOvrVKpSGe7fuZ9JnRIopa+Tt0GdQrcdSnlNDOsasvUgr1d7AwtLC6zyWlHKsww3zl8nT7485C2gu+zOky8P5etW5No/V0xW18eu6duenb7tVWxWk9Pp2t5pg7b3lpG291ZAdY4ZtL3b4bE4v1aEAva6oWeveb9F5PnsbXubV21KmSx6/5Z9+LWpB0CZSq9z7859YtO9l7GRscTfi6dMJd1cdH5t6nHwzwNc/ucy3Sp3pnftnvSu3ZOosCiGBAxO6RjKb52fcjXKc8DgGi67rf1yfcoE0kF/7KRpu+e7ZwDSzE/k08ibf8+9fHNcileHZA49gX6OIEsgGtgJ9FFKfQ3YA3WBEUBu4E2lVB50HTP1gd1P2fWfwAB0k0ajlLID9gMLlVKlNU07r3/SWFFN01KeZahp2kOl1FjgglLqDXQZQPeAW0opZ6AJEKwvfgewBqIy2ze6oWf5NU3brJTaD5x/3tfqWW3fupN6/nXYHfI7CfHxDB2Q+rSyLTt+opFPW1zdnPlweB/Onb3IH8E/AvDV8u/47pt1jJ04jAIF8vPFl3MAuH4tjPc6DTT6f5nD7r/24V2/Jhv2/UBCfAIThkxNWffd1i/p6N8DgA/H9qVxK3/y5svL7yHr+eXb31gye6W5ws6SvX/tp1a96vy4ZzWJ8YlMHjojZd3Xfy6jW0PdN/v9x/ShYav65M2Xhw2H1/Lrt5tYMedrBoz7gPwF8jFlyQQAIq5H8FEP86bAHtx+iKr1qvLl7pUkxicwe9jclHWL/liQ8lj6z0cvYPicoVjlzcPhoEMcCjqUUs6nuQ/BBhNRvwqCtu7Cz9+b4MO/ER+fwEcDx6es2xSs60RycXNiwLDenD97kd+Cvgdg1fLv+WH1z+YK+4mCt+7Bp0Ftth38hfj4BAIHTUxZtyFoDS38OgEwYvwgmrVpRL58edl5bBM/rt7A57OWMm38PCbPHUuPPu/q5pIYOMFMNXl2Iz6ezqEjx4mLu039lp3p17MLbZo1MndYWZLL0pLR77ej7ycLSUrWaFmvBqWLu7Lwu994s3Rx/KpW4NCpc8xf/StKQeU3SzOmV7uU7buNncul6xHcT0ikQa+xTOz3LrUrZcPwjmeQ086dyUnJ/Dz+K3qtCkRZWnBobTAR567RaEhbrp74l9PbQji4NpiOc/oxKngu9+Pusnrg5ynbl6xellvhMcRcTc0atsqfl/eWD8fSKjcWlhac33uKfWu2maN6JCcl8+34FQxeNQZlacGetUHcOHeN5kPac/nEBY5tO8zutdvpOWcgU4I/517cXZYO1H121OvaGKcSLjQd1Jamg3QZ03O7fMKd6Kclm2efI9tD8PSrwrydX5AYn8iS4fNT1k3bPJfAAN3T9FaO+UL/KPs8HA0O4WiQrhPCq1F1uk/shY29LR99OY5Lp/9leteJ3Lt9j83Lf2XKxk/RNI2jQaEc2R5iNIYX7ej2ECr6VWb2zkU80D/K/rEpm2czJkD3ZNsvxyyht/5R9seCQzkWFArAxkXrGbhoOD7t6xN9I4r5fXVTcd44f53jO44wbctckpM1gr/fxrWzV3As5szgpbonWlrmsmDvhl0c33HE5PVMTkpmw/iveH9VIBYGba/hkLZc07e9Q2uD6TCnHx/p2963Bm3Pw0jbux0Zy7bP1vPB2o9JfphE7PWbrB3+hcnrkpmQ7Yfx8vPii13LSIxP5PPh81LWzf19PkOa6DJ8vxiziEGzh2CV14rQoBBCsvBk2BqNanJ05xES480779dju7fp7hl+3b9Wd88wOPWe4fttX9GhQXcAPhzXjyb6e4Y/Qn/m5283suTTlXR8/x18GnmT9OgRt+Lu8PGHr+ZTS8XLQZnrKRAvK6VUEvA4f1kBozVN26R047FmouuA0YDJmqb9oN9mJtACOAc8AH7VNO0rpdQlwEvTtCillBfwqaZpvvrJoBcCVdBlFE3UNG29UqoeMAN4/MiVsZqm/aqUCgaGa5p2WP//DQPe1DStp1LqK6A6cBFdltLj/3sg0B8I0887lGHfwCFgA7pOLaWP7+snvDxaUXvzjP3PDtdiTlLZ1dvcYZhEaNhuahbxM3cYJrPvehCNijUxdxgms+Xq73gUrmjuMEzm3+hjlHH0enrBV9TZm4d5GHXR3GGYRG6HkiSe3GruMEwmT3n/HH/uHO7e0dxhmMynl76jl/s75g7DZJZd+pGOJcw3L4wpfXf5FzqXaP30gq+o1ZfX81EObnszL31Hi+JNzR2GyWy48huVXGqbOwyTORK+J0ePu7pRyy/bOkDc9ga9Uq+lZA6lo2ma0dktNV0v2gj9T/p1HwEfGVnubvD7YcBX//tdoJuR8tvRzWOUfrlvur9nG/zePZN4Pwc+N/jb6L7RDSsTQgghhBBCCCHEf5R0DgkhhBBCCCGEECLH07RXKpknW8mE1EIIIYQQQgghhBD/YZI5JIQQQgghhBBCiBxPSzZ3BC8vyRwSQgghhBBCCCGE+A+TzCEhhBBCCCGEEELkeFqyzDmUGckcEkIIIYQQQgghhPgPk8whIYQQQgghhBBC5HiaZu4IXl6SOSSEEEIIIYQQQgjxHyaZQ0IIIYQQQgghhMjxZM6hzEnmkBBCCCGEEEIIIcR/mGQOCSGEEEIIIYQQIseTzKHMKU1mZBJZJweLEEIIIYQQQuRcObr35JKnf7bd07of3fpKvZaSOSSeSS6rIuYOwWQePbiOR+GK5g7DJP6NPkZ55xrmDsNkTkbsp26R+uYOw2R2Xv+LvHmLmzsMk0lIuIKDTRlzh2EyUbfPknhyq7nDMIk85f15GHXR3GGYTG6HkrzhVM3cYZjMmciDjHfvZO4wTGbSpTW8597W3GGYzMpLP9G5RGtzh2ESqy+v590Srcwdhsl8e/lnPnLvaO4wTGbmpe8IKB5g7jBMZvOVzTn2ngF09w05meTGZE7mHBJCCCGEEEIIIYT4D5POISGEEEIIIYQQQoj/MBlWJoQQQgghhBBCiBxPJqTOnGQOCSGEEEIIIYQQQvyHSeaQEEIIIYQQQgghcjxNk8yhzEjmkBBCCCGEEEIIIcR/mGQOCSGEEEIIIYQQIsfTks0dwctLMoeEEEIIIYQQQggh/sMkc0gIIYQQQgghhBA5XrLMOZQpyRwSQgghhBBCCCGE+A+TzCEhhBBCCCGEEELkePK0ssxJ55Awm7lzJtGkcT3ux8fTs+cQjhw9maHMpo2rcXF1JlcuS3bvPsjAQaNJTk5mxrSxvN3UnwcPHnDx4mV6vj+UW7dum6EWmft42kh8G3iTEJ/A8AHjOHX87zTr8+bLy8KVsyjhUYykpGT+2rKDmZM+A6BazcqMm/IRZcu9xqD3R/L7xm3mqEKmAqcMpU79miTEJzJm0CecOfFPhjKDAj+g+TtNsClkTbWS9dKsa9S8Pv2Gv4+mafxz+hwj+36cXaFnyaBJ/alRrzqJ8YlMGzKTsyfPZSjz/sj3aNzWn4K21jQu0zRlecXqbzFwYn9KvlGSif0ms2PTzuwMPUtmz55I48Z+3L8fT69ewziaru3ly5eXb79dTMmSJUhKSmbTpm2MGzcdgOLFi7Bkyac4ONgTGxtHjx4fcv16uDmqkampM8fSoKEP8ffjGdh3FMePnU6zPl++vKxcNR93j+IkJSWx5fcgPpnwKQAd3m3FhMkjCbsRAcCKpatZverHbK9DZnYfOc2MlT+RnJxM6/q16Nm6YZr1NyJjGL9oNbG37mJrnZ+pH3bDpbAdAB98spATZy9R6Y2SLBjd1xzh/1/GTp3Dzj0HsbcrxC+rvzB3OM9l9JRh1G1Qi4T4BEYPnMRpI+fODwP70qJdADaFrPHy8E1ZPmrSEKp5VwF0x7C9gx3VX6ufXaE/k9I+FQgY3wVlaUHoD8HsWrwxzfoS1crSZHxnnMsW58eBCzj9+0EzRfpk5X08eXd8D5SlBbt++IvNi39Jsz6XVS7enzOQEuVLci/uLosHzCH62k0KFCpIv8XD8ahQij0/BbPm4xUp23z0/UQKORbiQeIDAGZ3+YQ70dl3/dJlQk88/SqTGJ/I0uELuHTyYoYy7uVL0mf2QKzyWnE0KJRvJujiL2BbkAELh+FY1JGb127yeb9PuX/7Xsp2JSuUZsIv0/h8wBwObd6XsjxfwXzM+Gs+h7ccYNX45SatX9cJPfH0q8KD+ES+GP650fp5lC9Jn9mD9PULYZVB/QYtHIZjUSduXotkfr9PuXf7Hvms89N/3mAKuzlgmcuSTUs3sOPH7QB0GNWFSvW8APh5/lr2/7bHpPV7rIxPRVqM74qytODgD0EEL/41zXpLq1x0mNOPIuU9uB93lzUDPiP2WhSVWtTGp0/qNYtL2eJ81nQ0YacvU7FpDer1b4WytODv7UfYPP3bbKlLZvpM7ENVv6okxicyZ9gcLpy8kKFM6bdKM3T2UKzyWnEo6BBLPl6Ssq5Z92Y069aMpKQkDm0/xMqpKylTsQwDpw8EQCnFmrlr2LdlX4b9ZrecfM8gXi0yrMxElFJJSqmjBj+jnlJ+s1KqkP6nn8Fyd6VUvH4fp5VSq5RSuZ+yL3el1Lsvqi6m0KRxPV4r7UHZN73p23ckCxdMM1quw7sfUMXLn4qe9XB0tKdtW90H2ra/dlLRsx6Vq/hz7txFRo0ckJ3hP5VvA2/cSxbHr2ozAodOYvKnY42WW7ZwFQ1qtKSpbzu8qnniU782ANevhTNiwDh+Xfd7doadJXXq16S4RzECarzDhOHTGDfzI6Plgv/cRYfG72VYXtyjGO8P6kqXZr1p6fMuM8bNM3XIz6RGvWoU9SjKu95dmTVyDkOnfWi03N6t++jzdv8MyyOuRzJ1yEy2/fKXqUN9Lo0a+VG6tDvlytWlf/9RzJ8/xWi5efOWUrFiPapXb0KtWl40bOgLwLRpY1mzZh1VqzZi6tTP+OSTJ57asl2Dhj6ULOVONU9/hn44jllzJxott3D+Cmp6NcbPuyXValSmvn/dlHW/rN+Mn3cL/LxbvFQdQ0lJyUxdtpbFY/rxy7yx/L47hAtXw9KUmb3qZ5r5VGPd3NH0eacJ81en3jB0b9GAKYO6ZnfYL0zLAH++mDPZ3GE8t7r1a1GiZDEaV2/Dx8OmMX7mSKPlgv/cRftG3TMsnz5+Lq3rdaZ1vc6sXr6WrZuCTBzx81EWiqaTuvNN95ks8P+It5rXxLF0kTRlbt2I4ufhSzixYa+Zonw6ZWFB50nvM7f7FMb6D6F6c2/cShdNU6ZOu/rcu3WPQN+B/LniN94Z1RmAh4kP+WX296yd+o3RfS8dPJ8JASOYEDAiWzuGKvpVxsXDlWE+/VkR+AXdJ/c2Wq7HlD6sCFzMMJ/+uHi4UsG3EgDN+rXi9J7jDPcdwOk9x2nWr3XKNsrCgvaBXTi+82iG/bUd1pG/D5wyTaUMePpVxsXDjaE+/VgeuJj3JvcxWu69KR+wInAxQ3364eLhRkXfygA079eak3tOMNS3Pyf3nEipX8OuTbh27iqBTYbySftxdBrbHcvcufCsVwWP8iUJbDKE8S0+ommfluQrmM/k9VQWilaTerCi+wxm+w/Hs3ktnNK1sWrt/Ii/dY+ZvkPYtWIzAaN0twVHNuxhXkAg8wIC+X7IImKv3STs9GXyFypIQGAnlnaazJyGIyjoaEvpWuVMXpfMePl5UcS9CO/XfZ/5o+YzYIrx6/z+U/ozf9R83q/7PkXci+Dlq+uoq1CzAjUa1qBfo370bdCXdUvWAXD5n8t82PRDBjYZyLiu4xg4bSAWlua9Hc7J9wwvKy1ZZdvPq0Y6h0wnXtM0T4Of6U8qrGlagKZpcUAhoF+61Rc0TfME3gKKAu2e8n+7Ay9151CzZo34Zs1PABw4GIptIVtcXJwylLtz5y4AuXLlwsrKCk3TLd+6bSdJSUkA7D8QSpEirtkTeBb5N/Fj/Q+6b0qPHj6Bja01js4OacokxCewf/chAB4+fMTJ42dwdXMG4PrVG/x9+hzJyS/fsxb9Gtfl1x83A3A85BTWNgVxcCqcodzxkFNERUZnWN62cwu+/3Idt2/dASAmKta0AT8j70a12fLTnwCcDj1DQduCFHayz1DudOgZoiNjMiwPvxbBxTMX0ZI1k8f6PJo1a8iaNbqLpIMHj1CokE2Gthcfn8COHbpv0h4+fMiRIycpWlTXxt544zWCgnYDEBy8l6ZN/bMx+qdrElCftd/9DEDIoWPY2lrj7OyYpkx8fAK7dx0AdPU7fuwUbm4u2R7rszp5/hLFXRwo6uJA7ty5aOxdmaBDx9OUuXg1jOoVXgegWvkyBB06kbKuRoXXKZAvT7bG/CJ5eb6FrY21ucN4bvWa1GXDWt2581jISd3ngpFz57GQk9w0cu409Hbrhmz++U+TxPn/KupZipjLEcRevUnSwyRObNxP2YZV0pSJuxZFxN9X0bSX8zwJUNKzNJGXw7l5NZKkh484sHEPng2rpilTqWFV9q4LBuDw5n28UestAB7EJ3Lu8N881GcHvSyq+Fdjtz7eC0fOUsCmAIWc7NKUKeRkR76C+TgfehaA3euC8WpYPWX7Xfrtd60LxqthtZTtGnYP4NDv+7gddSvN/tzLl8TGoRAndh4zUa1S6eLTdZqeP3KW/E+o37lQXdbernVBKfUw3F63XFdvTdNSOn3yFsjL3bi7JD9KouhrxThz4BTJSckkxidy+cwlKvhUMnk9i3mWJupyODFXI0l6mMSxjfso19ArTZk3G1bh8Dpd5vKJzQcoXat8hv14Nq/F0V91HbT2xZ2I+jeMezG6a7Pzu09Qvkl1E9ckczUa1uCvdbov2f458g8FbApgl+69tHOyI3/B/Pwdqsuy+WvdX9RoVAOAt7u8zY+LfuTRg0cA3IrWHZeJCYkkJ+mura3yWL0U56CcfM8gXj3SOZSNlFK2Sql/lFKv6//+TinVS//7JaWUAzAdKKXPFJpluL2maUnAQaCIfht3pdQupVSo/qeWvuh0oI5+H0OUUpZKqVlKqUNKqeNKqT767V2VUjv15U4qpepkzysBRdxcuHb1Rsrf16+FUSSTm7PNv60h7Pox7ty5y7p1v2VY36N7B/7Y8nJ9g+rs6kTY9YiUv8NuRODimrHz6zFrG2vqN/Jhz84D2RHe/8XZ1ZHw65Epf0eEReLs6viELdIqUaoYJUoW55uNS1mzeTm1/WqYIszn5uDiQOSNmyl/3wy7iYOLwxO2eLW4ublw7Vpqtsn16+FP7BixtbXh7bcbEBSkS5U/ceI0LVsGANCiRWNsbKyxty9k2qCfgaubM9evpQ5zu3E9IuUCyhgbW2saNa7Hzh2paeXNmjdkx95fWblqPm5FXp5Oo4iYWzg7pF4cO9vbERmd9kasjHsRtu3TfXP/14Fj3ItPIE7fyS7My9nFifAbqZ8L4TcicXrC50Jm3Iq6ULS4G/t3HX6R4b0w1s723LqR2rl1OywGG2e7J2zxcirkbE/MjaiUv2PDorFzts+0THJSMvF37lPQ7ukdmO/N6seEzbNoNrDtiw36Kexc7Ik2qFNMeMY62TnbExOe+v7FhEVj56IrY+NQiLhI3Rc6cZGx2DjYpmzj1ag6f61O22GplKLT2O58N/Vrk9QnPTuXwsQYHHtZr5+uk9Y2Xf1s9fX78+vNuJUuysJDK5ixZR6rJq5A0zQun/6Xir6VscprhbWdNeVqlqewm+mvF2yd7dK0sVth0RnamK1BO0xOSibhzn3ypzs2KzatmdI5FH0pAsdSbtgVdcDC0oJyDb0o5Jrxi7Hs4uDiwM2w1GuxqPCoDNdiDi4ORIVHGS3j5uFGuWrlmLthLjPWzuC1Cq+llHvd83UWb1vMoj8XsWD0gpTOInPJyfcMLytNy76fV410DplOvnTDytprmnYLGAB8pZTqANhpmrYs3Xaj0GcKaZo2wnCFUiovUB34Q78oEvDXNNtWf54AACAASURBVK0y0B6Yb7CPXfp9zAV6Arc0TasKVAV6KaU80GUXbdFnJVUEMuYCm4hSGdPsMuu9D2jaiaLFK5MnjxX1/GqnWRc4ahCPHj3i22/XmyTO52WkepnWz9LSkvnLpvPV0m+5evm6iSP7/ymy/t4ZkyuXJSVKFqVHq7589ME4Js4ZjbVNwRcZ4v/lWd67V9GzHpurVn3OwoVf8u+/VwAYNWoKdepUZ//+zdSpU4Nr18J49CjJlCE/k2c5t1haWrJ05VyWLVnF5UtXAdjyRxCVyvvhU6s5O4P3svCLGSaN95kYqUf66g7r1oqQ0+dpN3w6h0+dx8m+EJYWltkUoHiSF3VuCWjVkC0bt7+03xLnlHNoVs4lz3K+eWzph58xvvEwpr8zjteqvkGt1j7/X6DPwFR16vzxe3w//Ru0dMdkg66NORoUSkzYkzPhXhRjx17686ax+j3tDq6CTyUun/qX/lV7EthkKN0n9SJfwXyc2HWMo0GhTFg/nQGfD+Vc6D8kP8qGdmm0Dlkpk1qomGcpHsQnEnH2GgDxt+/x89iVdFrwIX1//JjYa1Fm7zRJLyvnkcdlLHNZUtC2IENaDGHFlBUELgpMKfPP0X/o26Avg5sNpl3/duTO88TZOkwuJ98ziFePTEhtOvH6Tpc0NE3bqpR6B1iIrkMmK0oppY4CrwE/aZr2eBxBbmCBUsoTSALKZLJ9Q6CCUurxV1S2+n0dAlbq5zD6RdO0DJ1DSqneQG+AJUuWpF/9TPp+0I2ePTsBcPjwUYoWc0tZV6SoKzfCIjLblMTERDb+tpVmzRqx7a9dAHTp8g5vBzTAv9HTRtlljy4929Ohi258+vEjp3Atkpqt4OrmTET4TaPbTZ07nksXr/DlkjXZEufz6NCjDW07twDg5NEzuBRJ/UbD2dWJSINvbp4m4kYkx0JO8ehREtevhHHpwmVKlCzGyaNnXnjcWdWqWwuadtJlw/x99B+c3FIzoRxdHYmOyJ4LW1Pp06cr773XEYCQkOMpQ8QAihRxISyTtrdo0XTOn7/EggWpk6mGhUXQoYNuHocCBfLTsmUTbt++Y8Lon+69Xp3o0k13HjgaeoIiRVOzfdyKOBMeFml0uznzP+HihUssWZT6rXZsTFzK76u+Wsv4iSOMbWoWzoULEWEwDDMiJhZHe9s0ZZzsCzH3o14A3I9PZNv+o1gXMP0cGMK4d99rS9vOLQE4eeQ0LgZZbC5uTtzM5HPhSZq09OeTUTNfWIwv2u3wGGzdUofL2bjacycy7glbvJxiw6OxN8gCsXMtnJJVkr5MbHgMFpYW5LPOz724J2fqxUXohiMn3EvgwK+78KhYmr3rd7z4Cug16NoYvw664b8Xj59Pk9li75KxTjHh0di7pL5/9q6FiYvQlbkd9T/27ju+pvMP4PjnuTdEhJCBJEZjtOpnEzFrC2IWVVp7ryBWbao1OsSo2aKt6qC0pRo1Y9Teo1aM2AkJCZkyzu+PexM3S6N17y39vl+vvMQ5zz35fu9zznnuee5znhNB/oKORNx9QP6Cjqm3kBWvUJIhn40AIK9TXio2qEpyYhKlqpSmdLUyNO7ajFz2ubDJYUN8dByrP1r13PJr0q15mvycTPY9J1dnHmQjvwfGOolMl1+kMb96bzVkwyLDl5ChxlsN3UsW4fLJINYvWMv6BYZpEgbP9yMk+DbmFpnuGMvn5szDdHlGhoSTz92ZSOO+mStvbmJM9s1KrZ7cUpbi3PZjnNt+DIDqnRtavHOoZbeWNO3cFICgU0EUMBmV7uLqkuGzWPrRRKZlwu6EsW+TIb+LJy+iaRoOTg48vP9kjq8bl24QFxOHR2kPgk5lfPCIOb3M1wwvghdxLiBLkZFDFqaU0gFlgFggu+M1U+YcKgXUUEq1Ni73A0IxdDJ5Ajmz+rOAr8n8R8U1TduiadpuoC5wC/hGKZVhplJN0z7XNM1T0zTPfv0yn7gwuxYv+RrPat54VvNmw4bNdH3X0FdV3asKDyMfEhKS9gLO3j536lwoer2e5s0acuHCJQCaetdn9KhBtG3Xg9jYuH8U1/PyzfLVtKj/Ni3qv82WgEDavd0KgEqe5Xn0MIp7oRk7UEaOH0xehzxMG//v/aAP8MOX6+jQqBsdGnVjx6ZdtH7L0JFSoWpZoh5FZTq3UFa2b9qNV23D5I/5nfLhUaKY1b/9+Pnr9fT27k9v7/7s2byXph0MT4D6X5UyRD+MznRuoRfJ0qUrqV69OdWrN2fDhs28+257ALy8KhMZ+SjDsQcwdeooHBzyMmrU1DTLnZ0dU795HTNmMCtXrjZ7/H9lxRffpk4gHfDbNjp2fhOAqtUq8vBhFKGhGT9kjZs0HAeHvEx4L+2E3KbzEzXzacTFixmfjmItZUu9wrU797gZGkZCQiK//3GM+p4V0pR58DAqdUTJsp8282bDf9dtm/81361YmzqJ9PZNu2jT0XDurFi1nKFdeIZzJ4BHyWLky5eXEyZzSf3b3Dp5BScPV/IXKYA+h57yrWpwfutRa4f1zK6evEQhDzdcihREn8OG6q1qc2Lr4TRlTmw9Qq329QHw9KnJ+X0Zn7pqSqfXpd52prfRU7FhVW5dvGGW+FNsW/k7E3xGMsFnJEe3HKKOMd6SlV8j5lFMhs6hiLsPiIuOo2Rlw/eNddrX5+hWw9Pkjm07zBvG179hsnxEnYH41RmAX50BHArYz1eTPufolkMsHjaX4bX641dnAN9N/5o9P+18rh1DAFtXbmK8zwjG+4zgyJaDvNG+AQClKr9GbBb5xUbHUsqY3xvtG6TLr0GG5eG3wihX23CudXDJh1sJd+5eD0HpdOTJb6jPoq+/QrHXPTKdkPt5u3nyMi4erjgaj7GKrWpyNt0xdnbrUTzbGx60UN6nOpf2PZkQXClFeZ/qnPw17VO67J0dALBzsKdm1yYcWr3DzJmktXHlRnyb++Lb3Jf9m/fTqL3haYylK5cm+lF0ho6+B8a6LF3ZMM9eo/aNOLDlAAAHthygYi3Dd/CFixfGJocND+8/pFDRQqkTUBcsXJAiJYsQeiPrL6fN5WW+ZhAvNhk5ZHl+wDlgPIZROzU1TUswWf8IyPSGdU3T7hifejYO2IBhBNBNTdOSlVLdAX0W29gMDFRK7dA0LUEp9RqGDiEX4JamaV8opeyBKsDK55bpUwRs2k6zZg25cG4vMbGx9OkzInXdkcNb8Kzmjb19bn7+6UtsbXOi1+sJDNzL0s8NT/6YN/dDbG1t+X3TDwAcPHiMwUP+PU9NCty6hwZN6rDzyEZiY+MY4zs5dd1vOw0Ngqt7QYaM7Meli1fYGGjIY+WyH1i96mcqVC7LkpVzyJfPgUZN6zF87CCa1m6X1Z+zqN3b9vFGo1psOriW2Ng4Jg178vSgtdtX0qGRoY9xxKQh+LTzJpddLrYd38BP325g0afL2Bt4gFr1q7N+9/ckJScxe9pnRD6w3NNa/sqB7Qep2bA63+/9hvjYOGaOeDL11/ItS+ntbRg1M2BCPxq/2ZBcdrasPfIDv30XwJf+K3m9Ymk+XP4+efPloVaTmvQa2Z3uDXtbK50Mfv99B82aNeDs2T3ExMTSr9+o1HUHD26ievXmFC7sytixQzl/PogDBwwT6C5Z8jVffvkDdevW5IMP3kPTNP744yDDhk2yViqZ2rp5J42963H45DZiY2IZOujJUPLAP9bToE4b3NwLMXL0IC5euMyOPYZHU6c8sr7vgG4082lIYmISEQ8iGDLg33NesdHrGd+nIwM/WEhSskbbhjUoVcyNhd9v5H+litGgWgUO/xnE/FUbUAqq/K8UE/o+GVnZfeIcgm+FEhMXT+O+E3l/0DvUrvw/K2b0bEZPmcXh46eIiHhIo7ZdGNS7K+1bNbV2WNm2a9te6jauxeZDPxEXE8f4YR+krvtpxyraNTQ86WrUZF9atPPGzi4XgSd+Ze23G1j4ieEO9BbtmhLwy1arxJ9dyUnJ/Db5K7qtfA+dXsexNbu4F3SLhn7tuXX6Khe2HcO9Qgk6L/XDLl9uSjeqTEO/9izwzvzpbdaSnJTMqsnLGLFyIjq9jj/W7OB20E3a+r1N8OnLnNh2hN1rttPXfygzd35GdEQUS33npL7+4z8WkSuPHTY5bKjs7YV/1w8Iu3WPESsnorexQafXcXbvKXZ9b7nHTp/YcZSKDaowe/ciHhsfZZ9iesBsJviMBODLCUvpZ3yU/cmdxzgZaBhN8uuin/BdNIp6bzci/HYY8wd+arHYs+PEjqNUalCVObsXEx8bz9JRn6WumxHgz3gfw2fNFROWMsD4KPuTO49xwpjfhkU/MXTRKBq83Yiw22HMG2ho/3+av4YBs4cya/NclFJ8P+sbHj14RA7bHExea/iCIfZRDIuGz7HIaJvkpGTWT/6KPivHodPrOLxmJ6FBN/H268DN01c5u+0oh9fspJP/IMbsnENMRBTf+T55L4pXf53IkPvcv5H2i6E2U7rjVqYYANvm/0TY1RCs5fCOw1RrUI3le5YTHxvPnFFPjq3PNn2Gb3PD4+gXTliI32w/bHPZciTwCEcCDXOxbVm9heGfDGfR1kUkPk7Ef4Q/AGWrleWtQW+RmJCIlqyxaMIiHlr5M+jLfM0gXjzqRbwP/EWglEoCTL/a+x1YAawHvDRNe6SU8gceaZo2RSkVDHhqmhamlPoOqABswnD72UZN08oZt6swzA00BAgB1gExQCCG0UF5jLeJ/Y6h8+crYB7wIdAKwyiie0Bb489oIAGIArppmnb1KWlpNjkLP2X1iy3x8S2KO2f3Tr8Xy9Xwk5Qr9PKOIDgTeoC6hRtZOwyz2X1rO7lyFbN2GGYTF3cdF4es7op98YU9vEj8mX/3Bf3fZVuuCQlhV6wdhtnkcClBmYJef13wBXXu7iEme7xr7TDMZlrwt/TysOykz5a0IngtXV55OS8CV137iXdeedPaYZjNd9d+ZoxHZ2uHYTYfB3+PTzEfa4dhNgHXA17aawaAq+EnX+r7rs6UaGmxDpByVza+UO+ljBwyE03TspoBtIxJmREmv3uY/J7+MfTlTNZppJ2ryPSegnHGMglA+ivl8cYfU18bf4QQQgghhBBCCPEfJZ1DQgghhBBCCCGEeOlp2gs1mMeiZEJqIYQQQgghhBBCiP8wGTkkhBBCCCGEEEKIl55MuZw1GTkkhBBCCCGEEEII8R8mI4eEEEIIIYQQQgjx0kuWOYeyJCOHhBBCCCGEEEIIIf7DZOSQEEIIIYQQQgghXnrytLKsycghIYQQQgghhBBCiP8wGTkkhBBCCCGEEEKIl548rSxrMnJICCGEEEIIIYQQ4j9MRg4JIYQQQgghhBDipSdPK8ua0mRclcg+2VmEEEIIIYQQ4uX1UveeHCnS1mLXtJ43f3mh3ksZOSSeyUSPd6wdgtl8GPwdIzw6WTsMs/AP/oEhHm9bOwyzWRC8mv4eb1k7DLNZGvwjw17SfRNgXvAPDH2J98/5waupWbiBtcMwi/23AilT0MvaYZjNubuHSAi7Yu0wzCaHSwl8ivlYOwyzCbgeQB+PDtYOw2yWBa99adv2BcGr6enR3tphmM2XweskvxfYl8HrCGtaz9phmI3L5l3WDsGs5GllWZM5h4QQQgghhBBCCCH+w2TkkBBCCCGEEEIIIV56MudQ1mTkkBBCCCGEEEIIIcR/mHQOCSGEEEIIIYQQQvyHyW1lQgghhBBCCCGEeOnJ47ezJiOHhBBCCCGEEEIIIf7DZOSQEEIIIYQQQgghXnoyIXXWZOSQEEIIIYQQQgghxH+YjBwSQgghhBBCCCHES0+TkUNZkpFDQgghhBBCCCGEEP9hMnJICCGEEEIIIYQQL71kawfwLyadQ8JiXq1XAZ/J3dDpdRxdHcjuxb+mWa/PaUMH/4G4lytOTEQUq4fMJ+JmGPocetrM6IN7+eJomkbA+yu5euAcAOVa1qD+4LYovY6LO46zedb31kiN1+tVpO3k7uj0Og6s3sGOxRvSrNfntOEd/8EULVec6IgoVg6Zx4Ob9wBwe70Yb83oQ648dmjJGnPaTCAxPoHKrWvReFBbNE3j4d0HfDt8IdEPHlkjPcrUq0iHyT3Q6XXsW72DrYvXp1lvk9OGrv6DKVauBNERj1gxZB73jfkBOLo7M3GrPwFzf2T7FxsBqN+zObU6NUIp2PvDDnauCLBoTqbK1qtEx8k90el1/LF6O5sX/5JmvU1OG3r6+6bm98WQOYTfvIdHxVJ0mdnfUEjBxrk/cmLzIQC6fTyQ8g2r8ig8kmlNR1o6pTRer1eRdib757ZM9s8uJvvn18b6cypSgHHbZnP3ym0Arh0PYs2E5YbX5NDT4f1elKrxPzQtmd8+Wc3J3w9ZPDcw7J/tjPvn/tU72JbJ/mnIz1B/X5nkN36bf2p+wceDWDNhGQADvx6HQ0FHdHodlw+f58dJy9GS/x0PP/Wb5kuthtWJi43jA7+PuHgmKEOZ/u/1pnkHb/Lmy0uj13xSl3fq9xatO/uQlJhExP1Ipo/4mJBboZYM/6nGTx9J3ca1iIuNY7zvNM6evpChzLBxA2nT0QeH/HnxLF4/dfnYaX541akKgJ1dLpxcHKn+aiNLhf6PTZzhz+69h3ByzM8vq5ZYO5xs6/9+f6o1qEZ8bDz+I/25fOZyhjKlypdixOwR5MyVk8OBh1k6ZWnqulY9WtGqeyuSkpI4vOMwK2asSF1XwL0AS7Yv4ds53/LT5z9ZJB9TZetVorOxbdizejubMmkbevv78kq5EkRFRLF0iD/hN+9hnz8PAxePwqNCSfat3cl3U5anvqZay1q0GNwepddxesdR1s5aZem0APO063YOuXlnVn/cShcFDb4ds5irxzKenyyhXL1KvDO5Fzq9jt2rtxOw+Oc0621y2tDXf6ix7h6x2KTuBi8eTfEKJdm7dierpixLfU27Ue9Qu109cuezZ2DZLpZOKQ1z5Dfi64nkK+iIXq/n4uGzfDNpGVqydS6jn3d+OXPlZNCiURR8xZXkpGRObD/C2o+sc+yll8PTC/sBvii9jrhNvxG75rtMy+WsUw+HSdOIGNKPxKALYGNDnmGjsHm1NGjJRC/+jIRTJywcvXjZyG1lz0AplaSUOqGUOqOU+lEplfs5bttDKXVTKaVLt/yEUsrrKa/roZRa8LziMBelU7Sa1pOVPT5mfpPRlG9diwKlCqcpU7VjfWIjo5lTfwT7lm+i6djOAHh2agjAgmZj+arLTJpN6IJSCrv8eWg27h1WvDudz7zHkKdAPkrUKmuV3NpN68XnPWbxUZORVGldm0LpcqvesQGxkVHMqD+cXct/o+XYdwDQ6XW8O2cwaycs42Pv0SzsNI2khER0eh1tJ3dnUecP+LT5e9w+d5063ZtaPDcw5NdxWi8W9ZjJh01GULV1bVzT5VezY0NiI6N5v/4wApcH0MaYX4r2k7rz584nDZbba0Wp1akRn7QZz8zmYyjXsAoFPFwtkk96Sqej87TefNZjOlOb+FGtdW3cShVJU6Z2x4ZER0Yxqb4v25ZvpN1Yw4fCWxeuM6PVe3zoM5r53abz7vR+6PSGQ3j/2p3M7z7d4vmkp3SKt6b1YmmPWczMYv+sadw/P6w/nJ3Lf6OVSf2FXwvlE5+xfOIzNrVjCMB7yJs8Co9kekM/ZjYexaWD5yyWk6mU/Jb0mMmMLPbPGh0bEhMZzQf1h7FzeQCtTfILuxbKxz7v8bHPe6kdQwBfDp7LR83HMNN7FHmcHKjcoqbFcnqamg2rU7R4Yd6q04VZ781mzEy/TMv9sXUfvVsMzLD84pkgejYfQNcmfdjx2y4GT+xv7pCzrW6jWrxSoijNqrdnysiZTP74vUzL7dyyh7eb9siwfNbkObRr2IV2Dbuwatkatv4WaOaIn6+2Pk1Y4v+htcN4Jp4NPCnsUZg+dfswf+x8hkwfkmm5wdMHM3/sfPrU7UNhj8J41vcEoELNCtTwrsGgpoMY2Hgg65auS/O6fpP7cWTnEbPnkRml0/HutD7M7TGdSU388GpdJ0PbUKdjI6Ijoxlf35etyzfSwdg2JMQn8MvsH/hxxjdpytvnz0OHcV359N33meLth0OB/Lxeq7zFckphjnYdoMOUHpzddZIPG41gZvPRhFy6ZfZcMqN0OrpO68ucHtOZ0GQ41VvXwT1d3b3RsRHRkVGMrT+ELcs30nFsV8BQdz/P/p7VM1Zm2O6J7YeZ1ibz85IlmSu/RYNnM6X5SCZ6DyevUz6qWandM1d+v3+xgfGNhjKlxSherVqa8vUrWySfp9LpyDN4OA8njuFB3+7YNmiEvtgrGYopOzvs2rYn4dyfqctyNW8JQMSAnkSOHYl9v0GgZC6d7NBQFvt50Ujn0LOJ1TStkqZp5YDHwIDntWFN04KBG8AbKcuUUq8DeTVNs87X8c9RkUqlCL8WyoMbd0lKSOL0r/sp4101TZky3p4cX7cHgD8DDlKiVjkACrxamMt7zwAQHf6QuIfRuFcogVOxgoRfDSHmvmE0zeU/zlC2eZb9aGZTrFIpwq6FcN+Y2/Ff91HO2zNNmXLenhxetxuAUwEHedXYiVX6jQrcOX+d2+euAxATEWUYnaAUSily5rYFIFdeOyJDH1gwqyc8KpUi7Foo4cb8jv26jwre1dKUqeDtycF1uwA4HnCA0sa6S1kXdj2UkKAbqctcSxUm+HgQCXGPSU5K5tLBs1Rsavm6AyheqRR3r4UQduMuSQmJHPl1LxXT1V9F72ocMOZ3LOAArxvzS4kfIIdtTtCejCwJOnSOmMgoC2WRtVcqleLetZA09Vc+k/3zkHH/PBlwkNey0cla/a0GbFtk+KZZ0zSrjWoz5BeaLr+0+2d5b08OGevvRMABXjPZP7MSFxULgM5Gj00OGzTt3zFqqG7T2mxauwWAP4+dI08+e5wLOmUo9+exc4TfvZ9h+bF9J4iPizeUOXqWgm4FzBvwM2jYvC7r1xhGEJ48egaHfHkpUNA5Q7mTR89w7274U7fVop03AT9vMUuc5uJZqTz5HPJaO4xnUsO7BtvXbQfgwvEL2DvY41jQMU0Zx4KO5M6Tm/PHzgOwfd12ajStAUCLri34cdGPJD5OBCAyPDL1dTW9a3Ln+h2uX7xuiVQySN82HPp1L5XSnVsqeVdj37qdABwN2J/a0fM4Np5LR86TEP84TfkCxQoRevUOUfcfAnD2j1NUbV7d/MmkY452PVceO0p6lWH/6h0AJCUkEfswxgLZZFTCWHf3boQa6+4PKqfLr4q3F3uNdXckYD9lTOou6Mh5EuITMmz3yvEgIu9FmD3+v2Ku/FLaPb2x3cNK7Z458nsc95jz+w3XEkkJiVz78yqOrhnbF0uzKV2GpNu3SA65A4mJxO/cQc6adTKUy929NzE/fg+Pn5xT9MU8SDh+FAAtMoLkqChsXittsdjFy0k6h/6+PUApAKXUL0qpo0qpP5VS/VIKKKV6K6UuKqV2KqW+SBnho5QqoJRap5Q6bPypbXzJ90Ank7/RybgMpVQrpdRBpdRxpdQ2pVSh9AEppb5SSnUw+X+Uye+jjX/rlFLqfeMye6XUb0qpk8bRUG8/t3cnHYdCjkTefvJh/uGd+zgUcsqyTHJSMvGPYsjtmJeQc9cp08QTnV6HY5ECuJcvTj43J8KDQ3Ep6Ub+Ii7o9DrKeHuSz83yJ/p8hZyIMMkt4s598qXLzbRMclIycY9isXfMS4ESbmga9Fs5jhEbZ9KgfytDmcQk1k5czujfP2bqocUUKlWEg8YPXJaWr5ATD0zye3AnnHyFHLMsk5yUTOyjGOwd85LTzpYmA9oQMG9tmvK3L9yglNfr2OfPQ45cOSnboDKOVqg7gPwZ8rtP/kLOGcrcvx0GpM0PDB+yp2zxZ/Lm2Xw78YvUzqJ/i+zsn/nT1V/K/gngVLQAo3+bie/qyZSo9jpguHUAwGdkR0ZtnEmPhcPJ65LPEulkkD9Dfpnvn2mPvyf151y0AGN+m8XQ1VNS80sxcOV4Zhz9nLjoWE4EHDBzJtlTwNWF0Nt3U/9/704YBVxd/ta2WnX2YX/gwecV2j9WyLUgIbef3OIWcvsuBd0KPvN23Iu4UqSYOwf2WGfEyX+Ji6sL9+48udUoLCQMl3T7o4urC2EhYZmWcS/uTlmvssxZP4eP1nzEqxVeBcDWzpYOAzvw3dzMb6+wBMdCTjy4/STuB3fCcUx37jQtk9I25HHMuoPvbnAIriUL41ykADq9jsreXji5/b3j958wR7vuXKwgUeEP6fLpQN77bRbvzOpPTjtb8yeTCUeTNhvg/p37OGajXX9a3f2bmDO/kSsnMe/oCuKiYzlspXbP3PVn55Cbio08Obf39PML+m/SObuQfO9Jm54cdg+dS9pzgr7kq+gKFCTh4P40yxOvXDZ0JOn06Aq5YvPqa+gKPHub+V+UrFnu50UjnUN/g1LKBmgOpJxVemmaVhXwBIYqpZyVUu7AJKAG0AQwveqYB8zRNK0a0B5IuZdhDdDWuH2At4EfjL//AdTQNK2ycdmYZ4jXG3gV8AIqAVWVUnWBZsBtTdMqGkdD/Z7dbT6zTIY5ZvgmPosyx9bsJDIknIG/fojPlK5cPxpkuMB7GM2GiV/y9oKh9PlxCg9u3iM5KclcGWQpsxGc6XPLqoxOr6d4tdJ8O2wBn3WYQvmm1Xi1Vjl0NnpqdWnC7BbjmOo1kDvnr9NoUFszZfB0KtPg05fJ5IWaRgu/t9ix/Dcex8SnWRV6+RZbl2xgyKqJDP56PLfOXSPJCnUHkOmIzwz1l2kFAhB84hLve49gZuuxNBv4Jja2OcwQ5N+XVd2kLZRZEY3Iuw+YWmsIn7QYx88ffEO3eb7Y5rFDp9fj6O7M1SMX+LTlOIKPXaTNeCvNv5DpeeMvi6TO5TWl1mA+bjGWnz9YSfd5vuTKY5daZnG3GUz0GoBNzhzZGm1keXleNwAAIABJREFUEdnINzuatmvM6xVL8+3i1c8hqOcjO+fS7PB505vNv+4g2UpzZfzXZafOUsrobfTkyZcHvzZ+LJ++nHGLxgHQZUQXfln+C3ExcWaN9an+weeWrMQ8jObbiZ/Tf8EI3vvxA8Jv3rVK22eOdl2v11O0XHH2rNrKRy3GEh8bR5OBbZ5f0M8iG/WS2Xvwbxkh+pfMmN/sbh8w3KsPNjlzUMZa7Z4Z89PpdQyY78e2r37j3o1/wXx7f3UsKkWe/oOJ/nxRhmLxmwNIDrtL/gVLsR/oS+LZP8Fan6XFS0MmpH42dkqplBus9wApE3AMVUq9afy9KIaOGFdgl6Zp9wGUUj8CrxnLNAb+Z3Jic1BK5dU0LUQp9SfQSCkVCiRomnbGWKYIsFop5QbkBK4+Q9zexp/jxv/nMca4B/hUKfURsFHTtD3pX2gcCdUPYOnSpelXZ9vDkPvkc3/S6+/g5sSjuw8yLfMw5D46vQ7bvLmJjTAMftr0wZNJ4/qtm0r41RAALmw/xoXtxwDw7NwQzQqjNiJC7pPfJLf8bk48TJdbSplIY2658toRExFFREg4lw+eS70l51zgCYqU8yAuyjAUO/y6oeE68dt+GlnpQ1ZESDiOJvk5ujkTmUl+ju7ORBjzs8ubm+iIKF6pVIpKPtVpO+5d7Bzs0ZI1EuIT2L1yM/vXBLJ/jWFOkFajOxFxJ+MtMJaQEnsKRzcnItLdjvMgJBwnd5cM+ZkKuXyLx7FxFH6tKNdOX7FI7NmR2f6ZVf2l3z8BYh4b/r155iph10MpWNyNG6evEB8Tx6nNhwE4EXCQGm83sFBGaUWEhKfLzznL4y8iNb/cqfklGvO7YcyvgDG/FInxCZzZdoTyTTy58Id1vmVs370trd9tAcC5E+cp5P7km8ECbi6EhYZl9dJMVXujCj2GdmFQ++EkPM54a4ElvdOrAx26GDq+zxw/i6v7k0Gxru4FuRdyL6uXZql52yZ8MPbj5xajSKtlt5Y07WyYAy/oVBAFTG5NdHF1ITw07S1/6UcTmZYJuxPGvk37ALh48iKapuHg5EDpyqWp41OHXuN6Ye9gj6ZpPI5/zMavN5o7vVQPQsJxdH8St6ObMxHpzi0pZR48pW1I7+T2o5zcbrgVpG7nxlYZbWqOdv34pgNEhIRz7cQlwNAuWKtzKKXNTuH0lHb9Weru38Lc+SXGJ3Bi22GqNPHi7B+nnmvs2WHO/HrMHEDo1TtsXfHbc4/770gOu5dmtI/OpQDJ4U/adGWXG71HcfJ9PNew3smJvO/P4NGU8SQGXSB66cLUsvnmLCTp1k3LBf8CS34B5wKyFBk59GxS5hyqpGmar6Zpj5VS9TF09tTUNK0ihg6YXGQ+HiGFzlg+ZVuFNU1LmbAj5day1FvKjD4DFmiaVh7ob/wb6SUat40y9DzlNC5XwEyTv1dK07TlmqZdBKpiGAE1Uyk1Of0GNU37XNM0T03TPPv165d+dbbdOnkZZw9XHIsUQJ9DT/lWNTm/9WiaMue3HqVye8OUS2V9qnNln2HStRy5cpLDODS5ZJ1yJCcmcc84yaG9swMAuRzsqd61MUdWW34C0hsnL1PAwxUnY26VW9XiTLrc/tx6lGrt6wJQwac6l4y5Xdh1CvfXi5EjV050eh0lq5chJOgWkSEPcH21MPZOhiGyr9WpQKiVJna8ZszP2ZhflVa1OLU17e0ap7ceoXr7egBU9qnBRWN+cztOZUodX6bU8WXnigC2LPyZ3Ss3A5DHWHeO7s5UbObFkQ17LZjVE8EnL1HQww3nIgXR57DBs1VtTqbL79TWI9Qw5lfFpwbn9xn6bJ2LFEydgNqpsAuFSrgTdvPZL2bN6Xq6/bNKJvvnma1H8TLunxV9qhNkrD97p7woneFU5ly0IAU8XFM7LP/cfoxSNf4HwGu1yxESZJ39M7P8TqervzNbj+BlrL9KPjVS88uTIT83wq+HkjO3LQ4F8gOGbxn/16AyoZdvWzCrtNZ9/QvdvfvS3bsvuzfvpXkHbwDKVilD9MPoTOcWysprZUsxZtYIRvecwINw68+d8d2KtamTSG/ftIs2HQ1PVqtYtRyPHkb95dxC6XmULEa+fHk5cdj6twu8rDau3Ihvc198m/uyf/N+GrU3PBGudOXSRD+K5kH6DpS7D4iNjqV0ZcNcGI3aN+LAFsPtKge2HKBirYoAFC5eGJscNjy8/5AxHcbQs3ZPetbuyfoV61m9YLVFO4bA0DYU8nDDxdg2eLWqzcmth9OUObn1CLXa1wegqk/N1LbhafIa277cDvbU79qUPau3P/fY/4o52vVH9yJ5cDucgiXcAChduxwhQda5UL1qbNef1F0djqfL7/jWw9Q21p2nT03OZaPu/i3MkZ9t7lzkM2n3KjSowp3L1mnXzVV/7UZ2xi6vPd9P+9IcYf8tiRfOoy9cBF0hV7CxwbZ+Qx4fePJ5WIuJ5n7HNjzo3okH3TuReO5sascQtrZga7gczFHFE5KSSLp+zVqpiJeEjBz65/IBDzRNizFOIF3DuPwQMEcp5Qg8wnD7WMqn1S3AEOATAKVUJU3TUkYkrQNmADFAw3R/J+Us3T2LWIIxdPasAdoAKfe3bAY+UEp9q2lalFKqMJCAof7va5q2yjg/UY9nTz97kpOS2Tj5K7qvHGt4lP2andwNukUjvw7cOn2F89uOcXTNTjr4D8Jvpz+xEdGs9v0MAHsXB7p/PRZN03gU8oC1IxanbrfFlG64likGQOD8n1NHFFlSclIyP03+kn4rx6PT6zi0JpDQoJs083uLG6ev8Oe2oxxcE8g7/oMZv3MuMRFRrPSdD0Dsw2h2LfsNvw3T0TQ4F3icc4GGAV6b561jyJqpJCUk8uBWGN+PWvy0MMya35rJKxi8cjxKr+PAmp2EBN2khd9bXD99hdPbjrJvTSDd/IcwZec8oiOi+NJ33l9ut8/iEdg75iUpMYk1k1YQ+zDaAtlklJyUzA+TlzNs5QR0eh171wRyJ+gmrfze5trpy5zadoQ/1uygl78vH+z8jOiIKJb5zgGgVLXXaTawLUmJSWjJyXw3aVnqKLDe84dRukZZ8jjmZdb+Jfw6Zw1711h+3qjkpGTWTf6Sgcb988CaQEKCbtLcuH+e2XaUA2sC6eI/mInG/fNr4/5ZyqsMzUe8RXJSsmE/mLCMmEhDPW2Y9R1d/AfTbnI3ou4/4rvR1ts/105ewaDU/Az7p49x/zyz7Sj71wTS1X8Ik3bOIyYiiq+M+2dJrzL4jOhokt8XxERGk9clH32XjcEmpw06vY6L+/5k77dbrZJfevu2H6BWw+r8uHcV8bHxfDjio9R1X2/5gu7efQEYPKE/3m82IpedLeuPrGHDd7+x3P9rhkwaQG57O6YvnQpA6K1QxvScaI1UMti1bS91G9di86GfiIuJY/ywD1LX/bRjFe0aGm5dHDXZlxbtvLGzy0XgiV9Z++0GFn7yBQAt2jUl4Jd/R109q9FTZnH4+CkiIh7SqG0XBvXuSvtW1nlKZXYd3nGYag2qsXzPcuJj45kzak7qus82fYZvc18AFk5YiN9sP2xz2XIk8AhHAg0XeltWb2H4J8NZtHURiY8T8R/hb5U8MpOclMx3k5cxfOVEY9uwg9tBN2nj9zbBpy9zctsR9qzZTh//ocwwtg1LfZ/kP+uPRdjlsUOfw4ZK3l7M6foBdy7dpNOUXhQtY3ga0a/z1xJ69Y5VcjNHu/7j1C/pMdcXfQ4bwm7cZZUVP7d8O3kZI1dOQqfXsWfNDm4H3aCtXyeCT1/ixLYj7F6znX7+Q5m1cwHREVEsMam7T/5YTK48dtjksKGytxezu07j9qWbvDW2KzXavEFOO1tm7/+c3au3sX7umpciv6iIRwxbNg6bnDnQ6XWc23eawG83Wzw3c+UXGxVDK98O3L50k6m/fQLA9q83sdsKnbNpJCcRtXAu+WZ8CjodcVsCSLoWTO5uvUi8eJ7HB/Zl+VJdfkccpn8CmkZy+D0efWz9J+S+KF7Ep4hZinph7q/9F1BKRWmalifdMlvgF6AwcAEoAEzVNG2n8ZasUcBt4ByGjpgJSikXYCFQBkMHzW5N0waYbHM9UEjTtBomy9oAczB0EB0AqmmaVl8p1QPw1DRtiHGS6vUYRg9tB3xT4lVKDQP6GDcXBXTBMKH2J0Ayhs6igZqmPW0GT22ixztPWf1i+zD4O0Z4dPrrgi8g/+AfGOJhtvnGrW5B8Gr6e7xl7TDMZmnwjwx7SfdNgHnBPzD0Jd4/5wevpmZh69x2Z277bwVSpqB1njRoCefuHiIh7N9zm+jzlsOlBD7FfKwdhtkEXA+gj0eHvy74gloWvPalbdsXBK+mp0d7a4dhNl8Gr5P8XmBfBq8jrGk9a4dhNi6bd73UvSfbC71tsQ6QRqGrX6j3UkYOPYP0HUPGZfEYJqfOzHeapn1unGD6ZwwjhtA0LQzDZNNZ/Z0MN2lrmrYeQ8dP+uVfAV8Zfw/lycglgHEm5eZhmAjb1GUMo4qEEEIIIYQQQgjxHyWdQ+Y1VSnVGMP8QFswjDASQgghhBBCCCGEhcmzTLMmnUNmpGnaKGvHIIQQQgghhBBCCPE00jkkhBBCCCGEEEKIl55MSJ01eZS9EEIIIYQQQgghxH+YjBwSQgghhBBCCCHES0/mHMqajBwSQgghhBBCCCGE+A+TkUNCCCGEEEIIIYR46cnIoazJyCEhhBBCCCGEEEKI/zAZOSSEEEIIIYQQQoiXnjytLGsyckgIIYQQQgghhBDiP0xGDgkhhBBCCCGEEOKllywDh7KkNE2zdgzixSE7ixBCCCGEEEK8vF7q7pNfXTtb7Jq2Vcj3L9R7KSOHxDNpUKSJtUMwm8CbW2latLm1wzCLzTc20aZYS2uHYTbrr2+kwyutrR2G2ay9toG3Xmlj7TDM5sdr62n3EtffT9c2MMqjs7XDMItPg79nsse71g7DbKYFf4tPMR9rh2E2AdcDSAi7Yu0wzCaHSwl6eXSwdhhmsyJ4Ld092ls7DLP4OngdnV9pa+0wzOb7a78w1ONta4dhNvODV7/09de4aFNrh2E2225stnYIZpX8L+v7Uko1A+YBemCZpmmz0q0fAfQBEoF7QC9N064Z1yUBp41Fr2ua9o8+UEvnkBBCCCGEEEIIIYQFKaX0wEKgCXATOKyU2qBp2lmTYscBT03TYpRSA4GPgZTe5VhN0yo9r3hkQmohhBBCCCGEEEK89DQL/mSDF3BJ07QrmqY9Bn4A0twuoGlaoKZpMcb/HgCKPHPS2SSdQ0IIIYQQQgghhBCWVRi4YfL/m8ZlWekNbDL5fy6l1BGl1AGl1D++l1NuKxNCCCGEEEIIIYR4jpRS/YB+Jos+1zTtc9Mimbws00FHSqkugCdQz2RxMU3TbiulSgA7lFKnNU27/Hfjlc4hIYQQQgghhBBCvPSSLfi3jB1Bnz+lyE2gqMn/iwC30xdSSjUGJgD1NE2LN9n+beO/V5RSO4HKwN/uHJLbyoQQQgghhBBCCCEs6zDwqlKquFIqJ9AJ2GBaQClVGVgKtNY07a7JckellK3xdxegNmA6kfUzk5FDQgghhBBCCCGEeOklq3/Po+w1TUtUSg0BNmN4lP0KTdP+VEpNA45omrYB+ATIA/yoDLGnPLK+DLBUKZWMYdDPrHRPOXtm0jkkhBBCCCGEEEIIYWGapgUAAemWTTb5vXEWr9sHlH+esUjnkBBCCCGEEEIIIV562XzE/H+SzDkkhBBCCCGEEEII8R8mI4eEEEIIIYQQQgjx0rPk08peNNI5JCzKd9ogqjf0Ii42no/8PiHozKUMZV4r/yrvzRmNba6cHNxxiM8mLwKgZJkS+M0ahp29HSE3QpjuO4uYqBgKFSnE1zuXc+PyTQDOHjvHnHHzLJpXioHvD8CrYTXiYuOZPWI2l85kfJJgqfKlGOU/AttcthzacZjFU5YAMH7RWIqUKAKAvUMeoh9GMajZEEpXeo1hs4YCoJTimznfsu/3fZZLyqjv+/2o2sCT+Nh45o2cy5VMcitZviRDZ/thmysnRwOP8MWUtE9ubNvvTXpO7E2Xiu/w6MFDcufNjd+8URRwL4DeRscvS39m+4/bLJVSGr2m9qVyA08ex8azYNRcrp65kqFMiXIlGTx7GDlz2XI88Agrpn4BQKeR71KtSXWSk5N5GB7JgpHzeHD3Pu4lCzP402GUKFuS7z/9hg2f/2LptFL1nNqXKg2qEh8bz8JR856S31By5rLlWOBRvjTm13V8D6o2qkZiQiKh10JYOHo+MQ+jU1/n4u7CnG0LWDP3B361Uo69p/alinH/XDBqLleyyM/XWH/HAo+w3JhfZ2P9acnJRIZH8pmx/gDK1ihHr8l90Oew4dH9h0x6e7xF8ypdryJtJndDp9dxcHUggYvTPMACfU4bOvsPoki54sRERPHNkHk8uBlG5Ta1qd+/ZWo5t9eLMbfleG6fvUafr8fiUDA/Or2eq4fP89OkFWjJ/75B1qXqVcBncleUXsex1TvZs/jXNOtf8Xqd5pO7UOj1Yvzou4Czmw5ZKdKn6/9+f6o1qEZ8bDz+I/25nEW7MGL2CHLmysnhwMMsnbI0dV2rHq1o1b0VSUlJHN5xmBUzVqSuK+BegCXbl/DtnG/56fOfLJLP3zFxhj+79x7CyTE/v6xaYu1wsq1cvUq8M7knSq9jz+rtBCxOe36zyWlDH39fXilXguiIKBYP8Sf85j3s8+dh0OJRFK9Qkr1rd/LtlOWpr/H7egL5Czqi0+u5ePgcqyYtQ0u2zKVK+XqVeHdyL3R6HbtWb+e3xT9nyKef/1A8ypUgKuIRi4b4E3bzHgAtB71J3Y6NSE5KZtX7Kziz+wQ5bHMwfvUH2NjmQK/Xc3jTfn6esxqAPp8O4fXq/yPmUQwAy0Yt4PrZYIvkmaL71D5UalCVx7HxLB41n+BM2oXi5UoyYPZQcubKyYnAo3w9dRkA1X1q0cGvE+6lijCp9WiunH5y3BZ7/RV6zxxI7jy5SU7WmNh6FAnxCRbLC6BMvYq0m9wDnV7H/tU72LZ4fZr1Njlt6OI/mKLlShAd8Yivhszj/s17OBUpwPht/ty9YnhSdvDxINZMWEaOXDnptcgPl1cKkZyUzJntR/n1o+8tmlN65qi/2m3r0rLfm6mvL1bmFca3GMm1s1ctk5SJwe8PxKuhF/GxcXw8YjaXMrkmerV8Kcb4jyJnLlsO7TjEwimLASj5vxIMnzmUHLY5SUpKYv6EBVw4cYGGbRvQaVBHAGKj45g3/jOunMv4vgmRFbmt7G9SSk1QSv2plDqllDqhlKr+HLcdoJTK/xdlgo2PrEMplWSM4U+l1Eml1Ail1L+ubqs39KJw8cJ0qdOD2e/NxW/m0EzLDZ85lNlj5tClTg8KFy+MV4NqAIz6ZARfzFxO78b9+OP3vbw94K3U19wOvk3fpgPo23SA1TqGqjWoRuHi7vR8ozfz3puP74whmZYbOmMI896bT883elO4uDue9T0BmDFoFoOaDWFQsyHs3fQHezcZOoCCz19jSIuhDGo2hAldJzJspi86vWWrt2oDT9w83BlQtx8Lxy5g4PRBmZYbMH0wi8YuYEDdfrh5uFOlftXUdS5uLlR6ozJ3b6Y+gRGfbi24EXSd4c18mdBxHD0n9cYmh+X7rCs3qIpbcXd86/VnybiF9PtwYKbl+k4fyNJxC/Gt1x+34u5Url8FgPVLf2Jks6GM9hnO0e2HeWvY2wBERUSxYsrnbPji50y3ZymG/NzwrTeApeMW0jfL/AawdNwifOsNwK24G5WM+Z3cc4IR3r6MajaM21dv8eag9mle131yb47vPGb2PLJSxVh/g/+i/vpPH8jicQsZnK7+fln6EyOaDWWkz3CObD9MR2P95Xawp9+HA5jZ50OGNxnCp4M+slhOAEqneHNaT5b1+IhPmoyicutaFCpVOE2Z6h0bEBsZzaz6fuxeHkCLse8AcHz9Xub4jGOOzzi+91vEg5v3uH32GgDfDJ6Hf/OxfOo9GnunvFRsUcOieWWH0ilaTuvBNz0+ZkGTMZRvXZMC6XKPvB3Gz6OWcnq95TvLs8uzgSeFPQrTp24f5o+dz5DpmbcLg6cPZv7Y+fSp24fCHoVT24UKNStQw7sGg5oOYmDjgaxbui7N6/pN7seRnUfMnsc/1danCUv8P7R2GM9E6XR0mdaHOT2mM7GJH9Vb18G9VJE0Zd7o2IjoyGjG1fdly/KNvDW2CwAJ8Qn8MvsH1sz4JsN2Fw/2Z0rzUUzy9iOvkwPVWtS0WD7dpvVldo/pjGsynBqZ5FO3YyOiI6MYU38Im5dvpOPYrgC4lypC9VZ1GO89nE+7f0j3D/qidDoS4hOY9c5UJjUfySSfkZSvV4mSlV9N3d4PM1Yy2WcUk31GWbxjqFKDqrgWd8Ov3kC+GLeI3h8OyLRcr+n9WTZuEX71BuJa3I2KxnbhxsXr+PefxfmDaR/8o9PrGDzXj+XjlzC6yVA+eHsiiQlJZs/HlNIp3prWiyU9ZjKjyQiqtq6Na7rzY42ODYmJjOaD+sPYuTyA1sa2ASDsWigf+7zHxz7vsWbCstTlO77YyPRGI/i4xXuUqFqaMvUrWSyn9MxVf3t/2c04Hz/G+fixyG8u927etUrHkFeDahQuXpjub/RkznvzGDbDN9Nyw2YMxf+9eXR/oyeFixemmrFt6DuhDyvnrGJAs0F8/elK+o3vDUDIjVBGvDWaft4DWTXvW/w+GmaxnF4kycpyPy+af10HwotAKVUTaAlU0TStAtAYuPG8tq9pmo+maRHP8JJYTdMqaZpWFmgC+ABTnlc8z0tt75psWWsYFXLu2DnsHfLgVNApTRmngk7Y58nN2WPnANiydht1mtYCoGjJIpw8cAqAI7uPUdfnDQtG/9dqetdg27rtAJw/ft6Yn2OaMk4FHcmdJzfnjp0HYNu67dRqmvGDYd2WdQlcvxOA+Lh4kpMM3yrmsM2Jpln+G34v7+oErtsBwMXjF7B3sMcxXW6OBR3JnceOC8bcAtftoHrTJxedvaf05asZX6aJXwPs7O0AyGVvR1TEI5ISLfshC6Bak+rsXBcIQNDxC+R2sCd/uvzyG+vu4rELAOxcF0g1b0N+sVGxqeVsc+ciJcWH4ZFcPnWJJAt/cEyvWhMvdqXmdxH7LPKzM8lv17pAvLwNfd6n9pxI3QeDjl/E2c3lyba9q3P3eig3Ll63RCqZ8jKpv6ftn3bp6q96JvWXy6T+6rapy4Hf9xN2OwyAyPBIc6eSRrFKpQi/FsL9G3dJSkjixK/7KevtmaZMWe+qHFm3G4BTAQd5tVa5DNup3LoWxzc86UCJN+ars9Fjk8PGKueUv1KkUknuXwvlwY17JCUkcfrXA7zuXTVNmYibYYSev/GvjD9FDe8abDe2Cxeeeu7MzXnjuXP7uu3UMJ47W3RtwY+LfiTxcSKQdh+s6V2TO9fvcN2Kx152eVYqTz6HvNYO45mUqFSKu9dCuHfjLkkJiRz8dS+VvKulKVPZuxr71u0E4EjAfsrUMjw05nFsPEFHzpMQ/zjDduOMx5/ewsdfiUqlCL0Wwr0bocZ8/qBKunyqeHvxhzGfwwH7+Z8xnyre1Tj46x8kPk4k7OZdQq+FUKJSKQDiY+JS89Hb2PBvORyrNvFijzGXS8cvZtmu2+XJTZCxXdizbieexnbv9qWb3DGOrjFVoW5lrp8P5vq5YACiIh5ZbORXilcqleLetVDCjW3DsV/3UT5dXZb39uTQul0AnAg4wGuZtA2mEuIeE7T/TwCSEpK48edV8rs6PfU15mSu+jNVq/Ub7Nuw5/kHnw21vGuydZ3xmuj4efI42Gd6TWS4ZjBcE21dt43axmsiNA37vPYA2DvYEx5qGO189uhZoiKjUrdbwOTzmhDZIZ1Df48bEKZpWjyApmlhmqbdNo7m+Ugpdcj4UwpAKVVAKbVOKXXY+FPbuDyPUupLpdRp4wik9sblpqOCflFKHTWOCur3V4FpmnYX6AcMUQYeSqk9Sqljxp9axu1+o5Rqk/I6pdS3SqnWz/l9SsPF1YW7t5+MGgm7E4aLq0uGMvfuhKX+/96de6llrl4Ipra3oSOlfsu6FHQvkFrOtZgrn/++mLlrZ1Pe6+kNoLm4uDpz7/aT2MPuhOGcLj9nVxfC7qQt4+LqnKZMuerleBD2gNvBTxq10pVK8/m2JSzdupj54xekXqhbirOrc9q4Q8JxThe3s6sz4SHhqf8PNynj1cSL8JBwgs+l/XYm4KuNFC1VlC+PrGT+lgV8MfVzq1zoObs6E377Xur/74eE41woXX6FnAkPefIe3L8TluY96Dy6C0v2L+eNtvVY7f+t+YN+Bk6uzoSb7JvhIWE4pcvPqVC6+rsTjlO6OgZo0LERx3ceBcDWzpa2A9vx49wfzBR59ji5OhNmUn/hIeFZ5GfyHtwJS5PfO6O78Pn+5dRtW48fjPXnXrwwefLlYdoP0/lkoz/12zUwcyZp5SvkSMTtJ3UScSecfIUc05VxSi2TnJRM7KMYcjumvQiv2LImJzakHV3Td+VYph5dQlx0HKcCDpopg78vbyEnIk1yf3jnPg7pcn8RGNq0J/tmWEjm7V5YSFimZdyLu1PWqyxz1s/hozUf8WoFw6gMWztbOgzswHdzv7NAFv9N+Qs5cd/kvPngTjiOhZyyLJNy/OVx/OtOsBErJzL36HLiomM5EnDg+QaeBcd0+dy/cx/HdOdJxyzycSzkzH2T4/G+yXuhdDqmBXzKZ0dX8OcfJ7lyIii1XIdR7/DhJn/emdQDm5yWHRXs5OqUpt27HxKOU7r6cyrkxP0M7d7TO0TcirujaTB25RRm/DabVv3ffGp5c8hvct6H7LUNcY9isDfum85FCzDmt1kMXT2FEtVez7B9O4fclGtUlYt7z5gxi6czV/2ZqtmqDvuBWk0ZAAAgAElEQVTWW6dzyMXVhXsmn1vuZXI94JLus/c9k+umRVOX0G9CH747uIr+E/uybNYK0mveqRmHAg+bKYMXWzLKYj8vGukc+nu2AEWVUheVUouUUvVM1j3UNM0LWADMNS6bB8zRNK0a0B5IGcM5CYjUNK28cQTSjkz+Vi9N06oCnsBQpVTGq7V0NE27gqFuCwJ3gSaaplUB3gbmG4stA3oCKKXyAbWAgOyl//colckBkq4jIPMihjIfj5xNm+5tWBqwELs8diQkGL5JvX/3Pp283qVfs4Esen8JExeMI3ee3M89/r+USfDpOzoyew/S94U0aFOfnet3pVl24cQF+jUegG/LYXQa3JEctjn+ebzPQGVycsvYiZN5bjlz2fLWkLf5bvaqDOsr16vC1bNX6OnZjeHNhtJ/2gDs8tg9r7Cz7yn7XXbLfP/JKgbU7M2eX3bRrHuL5xzgP/NPj70U7Ya8RXJiMnt+NuyfHUd0ZuOyDcQZvzm2luzE/ldlvvtkFf1q9mb3L7tobqw/nY2ekuVKMb3nNKZ1nUKHoW/jVtz9ucb+VNk4X2SRWOqvxSqVJCE2npCLN9MU+aLbLKZ5DcImpw2l/uIbZWvITp2+qLKTR0oZvY2ePPny4NfGj+XTlzNu0TgAuozowi/Lf7H6sfcyy7y9zk6b/tf169/tQ/y8+mKTMwdlLHT8/aN8Mru+Mb5US05mss8o/Gr2o0TFVyn8WlEAfvxoFWMbDWVqmzHY589DiwGW7UTJzuetbJ1j09HZ6ChdrQwLh/kztf04PJtVp2ztCv8g0r8hG3FndQ59ePcBU2oN5uMWY/n5g5V0n+dLLpPPXTq9ju7zh7L7q98Jv3E340YsxFz1l6JkpVeJj43nppVGXmbvc0vWx2yrri1Z/P5S3qnehcXvL2XUJyPSlKtYsyLN3m7KshnLM2xDiKeRCan/Bk3TopRSVYE3gAbAaqXUWOPq703+nWP8vTHwP5OD3EEplde4vJPJdh9k8ueGKqVSWtSiwKtAeCbl0kv5YzmABUqpSkAS8Jrxb+1SSi1UShUE2gHrNE1LzLARw2ilfgBLly5Nv/ovte3emhbv+ABw/uQFCroXBAzDVl3cXAgLTZvKvTthaYZAFnArQLixzI3LNxjzruFtLlK8MDUaGYaOJjxOIOGxYSLAi6eDuH3tDkVKFOHiqYvPHO+zatW9Jc07NzP87ZMXKeD+JHYXNxfup8sv7M49XNzSlgk3KaPT66jdrBZDfDKfj+nGpRvExcThUdqDoFNBmZZ5Xny6taBJ56YAXDoVlDZuV2fuG4ewpggPSTuSxtnVmfuh4bi94krBooWY+/tnhte6uTAnYC6jWo+g0VuNWbd4LQAh1+4QeiOUIiWLEnTS/HXXrJsPjTp5A3D5VBDO7gUAw9BdJ1dn7t9Nn194mpFgTm4uGd4DgD3rdzH+y8msmWPdiRybdvOhcacmAFw6dQlnk33T2dUli/xM6s/NmQcm+dVr34CqjTx5v/Ok1GWvVnqNGs1r0WVcd+wd7NE0jYT4x/z+tVn7mQFD/TUx1t+lU0G4mNSfs6tz6oTSKdLXn7ObS5r8UuxZv4sJX05m9ZzvCb8TxqP7D4mPjSc+Np6zh/7Eo0xx7lx9+lD15yUy5D753Z/USX43Zx7efZCuTDj53Z2JDLmPTq/DLm9uYiKiUtdXapX2ljJTifEJnN12jHJNqhL0x2nzJPE3PQy5Tz6T3B3cnHh091nutraelt1a0tR47gw6FUQBtyejXF1c057zIeNoItMyYXfC2Gecf+7iyYtomoaDkwOlK5emjk8deo3rlXrsPY5/zMavN5o7vf+MByHhOJmcNx3dnIlId/yllHlgcvxFmxx/T5MYn/B/9u47PIqqb+P49+wmoZcklCTUUBSUktCbhgABiQ+ggiJSpUonFF+6gDQLQXpHQSyg8IBAFEF6712kJrQESIM0AmTn/WMny25IAH3YjYTf57q4yM6enZw7Z3Zm9uyZMxzddADfgOqc3nn8mdY9PdFp8rh5uhGbZj8ZnUEec053q9c+uo9NvJPImb0nqeTny7WzV7h9y/x+fXDvATt+2kLTbnYdnA5AQIemNNCPCxePn7M57rmlc1yIjrAdIZv2uJee6PAo/tx7iriYOACObjmMd4VSnNpl/zZMFavv91Old2yI1Y8fsXpbZrc6Njy4Z/7/yslLRF6+QUFvT66cME9a/P6k7ty6FMHWxfY/jqfliPZLVaeZ4y8pa96xGYFtmgKpnxkeHhsKehawXBqW6lZ4pM25d0GrzwyNWwVYJqfetm47Az8fYCnnXc6bQV8MYFj7kdyJjbNbnudZ1viqyT5k5NA/pGlaiqZpWzVN+wTog3lEENhub6k/G4Da+rxAPpqmFdE0LQ5zB06G26dSqj7mDqTamqZVBo4A2Z9UN6VUKcwdQTeBIOAGUBnz6CMXq6LfAm0xjyD6OoOc8zVNq6ZpWrXu3Z94VdsjVi/5xTJR9K7fdtG4VSMAylcpT0JcwiMfUKNvRpMYn0T5KuUBaNyqEbt+3wNAfvf8qflo378ta781nwTnc8uHwWDelD2Le1DEuwjhl8P/dl3/ibVL1lkmkd69YQ+NWjYEoJxvORLjEohOc7COvhlDYkIS5XzNw3gbtWzInt8fDimv8povVy5ctbnEoHCxwpYJqAsVKUTR0kW5ceWGvaMRsnQ9QU37EdS0H3s37MG/ZQMAXvJ9mYS4RGLSniTfjCEpIYmXfF8GwL9lA/b/vo+wv8LoWKUd3et2oXvdLkSGRxIUOIDYW7Hcun6LSnUrA5CvQH6KlC5KxOUIu2cD+G1pCEMCBzAkcAD7f99H/ZbmS4bK+r5MYlziIx8CYvV8ZfV89Vv6c2Cj+XIcj5KelnLVA2pw7YLtKI3MsGFpCEMCgxgSGMSB3/fiZ8n3EolxCY/J9xJg7gw6sNF89ycfP1/e6tmSz7pM4N7dh3NojH53OL3rdad3ve6sX7yWVbN+dkjHEJjbb1DgAAalab+X9PZLb/u8a7V91m/pz369/TwzaL/9G/dRvsYrGIwGXLK78JLPS1w7/8yml3uiK8cuUKCkB25FC2J0NuLTrDanNh6yKXNq4yGqtXwdgEqBNTm/+5TlOaUUlQJrcnTtHssyl5zZyFPQvC81GA2U8/fh5gXHdHb9HdeOXcStpAf59ewVm9XiTJrs/1brlq6jb9O+9G3alz0b9tBQPy687PsyCXEJGe47X9a3zYYtG7JXPy7s/X0vleuY95FFvIvg5OzEneg7fNzqYz6s+yEf1v2QNYvXsHzmcukYesYuHTtP4ZKeFChaCKOzEzWb1eXoRttLNI5uPEidlvUBqBZYmzO7H38ZTrac2cln9f6r5F+F8AvX7FL/tB7NU48jG20nMz+y8QD19DzVA2vzp57nyMaD1GxWDycXJwoULUThkp5cPHqePG55yZnXPFLbOZsLr9StxHU9T2pOMM9ldPWs/fedG5f+apls+ODv+3hNz1LmMce9uwlJlNGPe6+1rM+hjY+/6+HxbUcoXr4ELtldMBgNlK/5KtfOOe64AHD52AUKWh0bqjSrw4k0bXly40FqtDRf2OATWItz+rEht1selMH8/bF7sUIULOlJ1GXzOeWbg1qTPU9OVo1b4sA0Dzmi/cB8bKz5Zh32OLhz6Jcla/nojV589EYvdm3YTUBL/TORbzkS4hLT/UyUlJBIef0zQ0DLRuzWPxNF3oiici3ziDXfuj5c07+0KuRVkDELRjO5/xdcu+SYfYvIWmTk0D+glHoZMGmaljp0wwcIAypivnRrsv5/6hn575g7kL7QX++jadpRq+UD9OWuaUYP5QNiNE1LVEqVA554SxmlVEFgLjBT0zRNv2TsqqZpJqVUR8BoVfwbYD8QoWnaqUfX9mzt3byfmg1qsmznEpLvJvPZwC8tzy3YMJduTcx3Ipg6fDpDU2/buPUA+zabd/QN3/KnRUfzN087ft3Jr8s3AFC5VkU+HNSRlJQUUlJMTB06jbhM6Cnfv/kA1RtU5+udi0lOusuUQVMtz83+bSa93jDfpWbG8JkMDh6IS/ZsHNxygANW1wP7Nfdjqz4RdaoK1V+lda/3ePDgASaTxowRs7gTc8chmVId2nyQav7VmLtjAclJycwY/JXluam/TieoqXmk09wRs+k3JQiX7C4c3nKIQ1sefxedFdN/pN+UAUz7fSZKKZZM+po4B2cDOLz5IFX8qzJz+zySk5KZPXi65bkvQr5iSKD5G5kFI+bot7J34cjWwxzZYv6w2m5oR7xKFUEzady6dpP5w2cDkL9gfj5bG0yO3DnRTCbe7NycAY1620yA7Jh8h/D1r8aM7XO5l5TMrMEzrPJNZUhgkJ5vrn4rexeOWuXrMq4HTi7OjFo2FoCzR86yYMQch2Z4nEN6+83W22+mVftNCfmKQXr7zRsxR7+VvQuHtx7msFX7FSlVBJPefvP09rt2/ipHth1m6obpaCaNTT9udOjkv6YUE/8d/Q3dlg5DGQ0cWLGVG+eu0iSoFVdOXOL0pkPsX7GVNsG9GLp1Komx8Szr+7BtS9Usx+2IaKKtLg1wyZmdzgsHY3RxxmA0cH73KfZ8t8lhmZ6WKcXE+tHf0GHp/2EwGji8Yhu3zl2jQVBLrp24xF+bDuNVqRRt5gWRI19OXm7oS4Oglsxs/H+ZXXUbBzYfoLp/dRbtWERyUjJTBz88Lsz4dQZ9m5rvUDNrxCyCpgSRLXs2Dm45yEF93/n78t8Z8MUAZm+czYN7DwgeGJwpOf5XQz6ZzIEjx4mNvUPDt9rRq0t7WjZrktnVeixTiolloxcycOlIDEYDO1ds5vq5q7wV1JrQExc4uukg21f8QbfgfkzaOoOE2Hjm9X3Yvp/vnE323DlwcnbCt3ENgtt/SnxsHP0WDsVJf//9ufsEW7/73WF5vh29kCFLR2EwGti+YjPXzl3h7aD3CT1xniN6nu7B/fh860wSYuOZree5du4K+9ftZtLGaaQ8SOHb0QvQTCbyF3Kl25Q+GAxGlEGxf/1ujm0271c/mjaAPG55UUpx+fQlvhkx3yE5Ux3ZfAgf/6p8tX0uyUnJzLM6LkwKmcow/bi3eMRc/Vbo2Ti69RBH9eNCtSY16TS2G3nd8vHx16MIPX2JyR3GknAngZCFvzBh7ZdomsbRLYc5stmxHdemFBM/j15Mr6XDMRgN7F2xlYhzVwkMepfLJy5yctMh9qzYQvvgPozaOo3E2Hi+6Wu+k2/pGuUJHPgephQTphQTK0YsIPF2Avk93GjS9x0izl9jyPrJAOxYsoE9y9Ob8cL+7NV+AOVqvkp0eBQ3HfBFa0b2bd5PjQbVWbrza5KTkvli0BTLc3N/m81Hb5jvCjxt+AyGBA8mW3YX9m85aJlDaOr/fUWvMT0xOhm5l3yPqUPN5+XtBrQlb/489NPvjJmSkkLvN9O/E9qL7Hm8i5ijqKxyDb8j6ZeUzQDyAw+A85gvvTqIeQROIObRQm00TTuvTy49CyiPuUNuu6ZpHymlcuvLq2Ie6TNW07RVSqlQzKN84oDVQBHgL6AgMEbTtK2pZTRNi1RKpQAnMF9C9gDziKBgvUOoLLASSAS2AH01TcttleU3YLWmaXOfIrrmXzTgH/3Nngdbrm6kSbGmmV0Nu9hw5VdaFP9PZlfDbtZcXkerEvYfsp5Zfg77hXdLtHhywefUT2FreCcLt9+qsF8YXLJNZlfDLr4M/YHRJdtmdjXsZlzodwQWD8zsathNyOUQ7kdezOxq2I1zgVJ0Ltkqs6thN4tDf6ZjyZZPLvgcWhK6kjYl3srsatjND2Gr6VeydWZXw26mhy7P8u3XqNi/u4P7f7HpyoYs3X2ytEg7h3WAdLi27Ln6W8rIoX9A07RDmCdwtqHPKTRL07SxacpHYh5JlHY98UDHdJaXtHqYbm+FdRlN04zpldGfOwdYz5Q3zKq+OTHPYZS5k6MIIYQQQgghhBAi08icQy8opVQj4AwwQ9O025ldHyGEEEIIIYQQwp5MDvz3vJGRQ89QmhE//2qapm0Cimd2PYQQQgghhBBCCJG5pHNICCGEEEIIIYQQWZ7MuJwxuaxMCCGEEEIIIYQQ4gUmI4eEEEIIIYQQQgiR5cmt7DMmI4eEEEIIIYQQQgghXmAyckgIIYQQQgghhBBZ3vN4FzFHkZFDQgghhBBCCCGEEC8wGTkkhBBCCCGEEEKILE9GDmVMRg4JIYQQQgghhBBCvMBk5JAQQgghhBBCCCGyPE3uVpYhpWlaZtdBPD9kYxFCCCGEEEKIrCtLd5/MLdbOYZ9pP7qy7Ln6W8rIIfG3tCvxTmZXwW6Wha3KsvmWha3igxJvZ3Y17Ob7sP9m+XwdS7bM7GrYzZLQlVk+X7eS72Z2NexiQehPdC7ZKrOrYTeLQ3+maxbOtzD05yzffvcjL2Z2NezGuUApvvNql9nVsIu215fxcck2mV0Nu/k89AcWFM2abQfQ7eoy2mfRc2qAb8NW0abEW5ldDbv5IWx1ZlfBrmTOoYzJnENCCCGEEEIIIYQQLzAZOSSEEEIIIYQQQogsT0YOZUxGDgkhhBBCCCGEEEK8wKRzSAghhBBCCCGEEOIFJpeVCSGEEEIIIYQQIsuT229nTEYOCSGEEEIIIYQQQrzAZOSQEEIIIYQQQgghsjyTyuwa/HvJyCEhhBBCCCGEEEKIF5iMHBJCCCGEEEIIIUSWJ7eyz5iMHBJCCCGEEEIIIYR4gcnIISGEEEIIIYQQQmR5MnIoY9I5JOyu/Zgu+PhXITkpmfmDZxJ68uIjZUpWKEWPKX1xye7C0S2H+XbMIgBy5ctNn1mDKFi0ILeu3mJGry9JvJMAQPlar9JudGeMzkbiouOY0HoUztmcGbliPE4uzhidDOwP2cOqqcufq2xv9mhBnRavA2BwMlKkTBF6+n7IvbvJDs0G0GFMF3z8q3IvKZm5g2ekm8+7Qil6TOmn5zvEUqt8/WYNomDRQty6epPpvb4k4U4CufLmovsXfShcwoP7yfeZN2QmV89eBmDaznkkJSRhSjFhSklhZLMhWSpfzrw56fZZb4q9VBwNmD9kJucO/2WXbBX9fGg7ujMGo4Fty/9g/Zz/2jzv5OJE9+B+lKxQivjYOGb3CSby6i0A/tPrbV5/ryGmFBPLxi7m5Pajltcpg4Gxaz8jJiKaqV0mAdD5s154VyqNQhFx6ToLBs8kOfGuXXI5IqtzNmeGL/8Up2zOGI1GDvy6h//a+b2WkVf9fHh/9IcYjAZ2LP+D3+astnneycWJzsF9KaFnm99nKlFXb1G+XiVa/l9bjM5OpNx/wM8Tv+XMnpM2r+294P8oWLwQY5oMcmQkGxX8fPhg9IcoPV9IOvm66vkSYuOZ0yeYqKu3yJU/N73mDMa7Uml2/byV7z5ZZHnNxz+OJX/B/NxLvgfAlPafEhd1x6G5Ur3q50Mbq/b7NZ18XSztF888q3w95wymZKXS7P55K99b5av+nzq82bslymjgxOZD/Dx5maNjWdij/YKWjCB/IVcMRiNnD/zJslEL0Uz/7lP5kROD2b5rP26u+Vm9bG5mV+cf8axfiWqftkcZDJz/YSunZ661eb5c96aU+aA+pgcpJEfFsXfgfBKuReH6anGqT/oQ5zw50FJMnJq+hrBf9mVSiode8qtMi9EdUEYD+5dvYeucX2yeN7o48X5wL4pU8CYxNp7v+kwj5mokvi3q4tfjP5ZyHuWKM+0/w4kOu0HPnz6xLM/n4c7h1TtZO26pwzJlpGj9StQe2x5lNPDXD1s5Nsu27TxqvkztMe1xK1+Mzb1ncmn9ActzNYa3plgDHwCOTFvNxbWObbuKfr60/8R8/N764ybWpXP87hHcH++KpYiPiWNmnymW43ezXu/g19p8/P52zCJO6OcqGa2z57QBeFcsTcqDFC4cO8fXw+aS8iCFHHly0vOr/rh7FcTgZCBk/i/s+Gmz3bN3HNPVcg46Z/D0DM5BS/OR1TnokjELAagZWIdWQe/jVaYoo5oP4eKJCwAUKFqIKX/M4PqF6wCcP/IXi0Y8n/skkTmem8vKlFJFlVJrlFLnlFIXlFLTlFIudv6dnZRSXlaPFyqlXvmH6zIopaYrpU4qpU4opQ4opbz/wXoGKKVy/pM6ZIbK/lXw8PZkkF9vFg2bS6fx3dMt9+GEHiwaNodBfr3x8PakUn1fAJr1epvTu44zuH4fTu86TrNe7wDmD9mdxncnuOskhgYMYEavLwG4n3yfiW0+YUTTgYxoOohKfr6U9n3pucq2ft4aRgQOYkTgIFZ8tow/950m4Xa8Q7MB+PhXwcPbi4F+vVg4bA6dx/dIt1znCR+xaNgcBvr1wsPbi8r1qwDQvNc7nNx1goH1e3Ny1wlLvhZ9WhF2+hJD3whizsBpdBjTxWZ9E94fxfDAgXbvGMqMfB0+6cqxbUcY3LAvQ98I4tr5K3bJpgwGOozrxpROExgWMIBazevhVaaoTZnX32tIwu14Pq7fhw2L1vHe0PYAeJUpSs1m9RjeeABfdhxPx0+7oQwPDxWNP3yT6+ev2azr+0+/ZlTTQYxsOpCo65E06tjULrnSY4+s95PvM/mDMYxqOohRgYOo6OdDad+yDstkne2DcV2Y1mkCowOCqNG8Lp5pstV7rwGJt+MZUb8vmxato+XQdgDEx9xhRpfJjH1jEIsHzaTz1L42r/NtUsOhHXjpUQYD7cZ1ZWqnCYwMCKJmOm332nsNSbidwLD6ffl90Tre1fPdT77P6ik/smLit+mue/6A6YwJHMKYwCGZ1jGkDAbajuvKV50mMCogiBrN66XTfuZ8w+v3ZeOidbRKk++nNPly5c9Nq2Ht+bLtWD5pHETegvkpV6eiwzJZs1f7zekdzCdNBzOqcRB53PJS/c3aDsnzv3grMIC5weMzuxr/mDIoqk/syJa2n7Ou/seUbFGLvGW9bMrEnAzl16ajCGk0nMvr9+M7qg0AD5Lusaf/XNb7D2VL28+pOrY9znkz9zRVGRRvj/uQRZ0+Y0rAYHya16FQmSI2ZWq850/S7QQ+rx/EjkUhBA79AIAja3bxVeAwvgocxo9Bs4m5eovw02EkJ9y1LP8qcBgx125x8rf9mRHPhjIo6o7vyG/tP+dn/48p3aIW+dO0Xfy1KLYNnMeF1bttlhdr4IN7hZKsajKCNc3GUOmjN3HOncOBdTfQ8dNufNFxPP/XqD+1m7+GV1nbfYhf60Yk3I5nsF9vflu0ltZDOwDgVbYotZrVY2hAf77o+Ckdx3dHGQyPXefu1dv5uEFfhjUegEs2F+q/3wiARh2acu3cVUY0HcjE1qP5YGRHjM72HT/h418VD29Pgvx6smDYbLqM/yjdcp0n9GDhsNkE+fXEw9vTcg565exlgntM5sy+04+85kZYBMMCgxgWGCQdQxnQHPjvefNcdA4ppRSwClitaVpZ4CUgNzDhGazb+JinOwGWPaymaV01TXv0Xfh0WuvrqqRpWkXgbSD2H6xnAPDcdA5VDajBzpVbAbhw5Cy58uYifyFXmzL5C7mSI3cOzh8+C8DOlVup1rim5fU79NfvWLmVao1rAFCnxesc+G0vUdcjAbgTdduyvtQPPEYnI07OTqDZ561pr2zWareox541OyyPHZXtYf22AHD+yFlyPiZf6uiXHSu3WHJYv9683Jy7SNminNp1AoDrF65RsGgh8hbIZ7ccGXF0vhy5c1Cu5its/XETACn3H5B4J9Eu2Ur5lOFGWAS3rtwg5f4D9q3dSZXG1W3KVGn8cPs9ELKHV/QPmFUaV2ff2p08uPeAyKs3uREWQSmfMgC4erhRuUEVtukZUt2NT7L87JLdBc2O22Va9spq/V4zOjnZ862WIW+fMtwKiyDyyk1S7j/gwNpd+DSuZlPGp3F1dq/cBsChkL2Uq1MBgCunQrl9MwaA62ev4JzNGScX88lutpzZCejajPUzVjowzaNK+ZThZlgEt/R8+9buwidN2/k2rs5uve0OhuyhvN5295KSOXfwDPf10UH/Rt56vtT2259OPh+rfIdC9lg6eu4lJXM+nXwFixfmxqVw4qPNHV6ndx6natOa9g+TDnu1X+r+JPU458j9yT9Vzaci+fLmyexq/GPuvqWJC71B/OVbmO6nELZmL8WaVLUpc2P3n6Qkmdsr8vB5cnq6ARB3MYK4SzcASLoRy93I22R3z9y/RTGfMkSGRRB95SYp91M4tnYPr6bZd77SuCoHV24H4ETIPsro+05rPs3rcPSX3Y8sL1DSg9zu+bi0/4x9AvwNBX1Kcyf0BnF6211Ys5cSjW3bLv5qJNF/XkEz2b6XXF8qQsTeM2gpJh4kJRP952WK1a/ksLqX9inDjdBwy/F779qdVA2wPReuElCdnfq51v6QPbxa17wPqRpQg7368fvWlZvcCA2ntE+Zx67z2JbDlvVePHYOV0938wNNI7veKZY9V3YSYuMxPUixa3brzwCPPwfNaXUO+vAzxPXzVwm/eN2udRQvpueicwhoANzVNO1rAE3TUoAgoLNSqpc+oug3pdRfSinLmE+lVDul1H6l1FGl1LzUjiClVLxSapxSah9QWyk1Wh/Jc1IpNV+ZtQKqAd/pr8+hlNqqlKpmtY4JSqljSqm9SqnC+vLS+uMD+u+I16vjCYRrmmbSM1zVNC1GKdVFKTXVqs7dlFLBSqlcSqn1+vpPKqVaK6X6Ye5g2qKU2qKXb6yU2qOUOqyU+kkplVtfHqqUmqg/d1ApVUUptUEfdfWRXsZTKbVdz3dSKfXas244Vw83SwcOQHREFK6F3WzLFHYjOiLqYZnwKFw9zGXyFshPrP4BJ/ZmjKUTwcPbi1z5cjPix3F8uu4L6r1T3/J6ZTAwIWQKsw9/zYkdx7hw9NyzjmXXbKlcsrtQyc+XA7/utSxzVDYAVw93oq9b1f2p85kPtvnS5Mun57t8Ot9+8vgAACAASURBVJTqTWsBULpyWQoUKYi7/hoNjaHLPmHCui9p0CbAbtnA8fkKFS9MXNQdenzZl4khU+j2WS+y5chmn2yF3Yi23jbDo3Et7J5hGVOKiaS4RHK75sG1cJq/S/jDv0vb0Z1ZMenbdD+sdf2iN9MPLMKzdBE2fRNij1jpsldWZTAwLuRLZhxazKmdx7hox/daRvIXdrOpX0x4NPnTZMtf2I2YdLJZq9K0FpdPXeLBvQcAtBjUmo0L13LvbrKdEzxe/jRtFxP+6HswfwZt9ySdv+jFmJAvaNa31bOt9N/gatU2kH4+16doP2s3QyPwKF0E96IFMRgN+DaugZtnAfsEeAJ7tt/ApSP56tAi7iYkcTBk7xPLi/9NDg9XEq9HWx4nhkeTw9M1w/Kl2/hxffOxR5a7+5TC4OJEXOhNu9TzaeUr7Mptq33n7fAo8hZ2TVPGzVLGlGLiblwiOdNsm5X/UzvdziGf5nU4tm6PHWr+9+XydCU+/GHbJUREk+sxbWct6nQYRf0rY8zuQjbX3HjWfoVcXm5PfuEz4urhTnR4+ufIqdw83ImyaqfE1OO3hxtR4Vb7nwjz+dnTrNPoZKTuO/U5vvUIABuXhOBVpggzDixi4oapfDt2sd07pd3S+Qzhlmb/6ZbmHDQqPAo3jye3T8FihZkUEszo5eN5ufo/uuAlyzMpx/173jwvnUOvAoesF2iadge4jHnepBpAW8AHeFcpVU0pVR7zaJ26mqb5ACl6GYBcwElN02pqmrYTmKlpWnVN0yoAOYD/aJr2M3AQaKtpmo+maUnYygXs1TStMrAd6KYvnwZM0zStOmDdpbsCaKZ3xExRSvnqy38EmiulnPXHHwJfA28A1zVNq6zX6zdN06br6/TXNM1fKVUAGAk00jStil7fgVa/84qmabWBHcA3QCugFjBOf/4DYIP+96kMHOUZMw/6spV2h/s0ZdIyOBnwrlCaLz+cwGftx/FWv1Z4eHuaX2syMSJwEP1qdaO0TxmKvlT8f0iQMXtlS+XbqDpnD54h4Xa8ZZmjsgGkU/VHRiqll+9JQyx+mbOKXHlzMTEkmMadAgk9dZGUFPN8EmPeGcaINwfzWcdPCejQlHI17HdQc3Q+g9FIyQql2LTsN4YHDiI5MZnm+qVoz9r/tG2m+3eByg2qcifqdrrXxAMsHDKL/jW7cf38VWo2q/uP6v1P2CMrmN9rowMHE1S7O6Uql6XIS8WeRXX/ln+6jVrn9ypblJZD27Js+HwAir1SkkIlPDiy4V9wOYSd9qHz+09j9BuDmPzuKMpWL0+dd/z+t4r+U09T97+ZL/FOAt+NnE+PmQP5v58+JerqTVJS7PsNd0bseQwM7jCeoBrdcHJxpnw6IzrEs5X+sS79siXfqYt7pVKcnrPeZnn2QvmpM6Mne4Lm23VU81N5mjxPOL4X8ynNvaRkbpy9+kixys3S7zTKHE/fdmld236SK5uP0mLNJzSY1Zubh89hSnHc/F5PcYjLsFBG+5anWWfH8d05s+80Zw/8CZjnKLp8KpS+1bswoukgOo7rahlJZC/p1/+RQk8uk0bszWj61u7GsMCBfPvp1/SdPpAcDrxUUDz/npcJqRXp7+pSl2/UNC0KQCm1CqgHPACqAgf0N2AOIPWrjBTAejy9v1LqY8yXa7kBpwDb2dwedQ9Yp/98CEgd5lAbeEv/+XvgSzCPFFJKvYx5FFQD4A+l1Luapv2hlNoM/Ecp9SfgrGnaCaVUMvClUuozYJ2maQ+vLXqoFvAKsEvP6AJYf5WROvveCSC3pmlxQJxS6q5SKj9wAFisd0yt1jTtkc4hpVR3oDvAvHnznvAnMWvU4Q383zf/OS4eP4+718NvNd083C2jLVJFR0Th5vHw23A3T3dib5jL3ImMJX8hV2JvxpC/kCt3Is2Xj8WER3E8Oo7kpGSSk5I5s/80xcuXJOJSuGU9iXcS+XPPKSrV97VMCPy/ckS2VLWb1WPPLzvTrYc9sgEEdGhqk8/Ny6ruHu7EPEW+mBvmb7Bup8l3W8+XFJ/EvCEzLa+ZtnMet66Yh6Sn/v3uRN3m4IZ9lPYpy5n9//RKzn9XPpcc2YgOj7KM9toXsttunUPREVG4WW+bnm7E3oxOt0xMRDQGo4EceXKSEBtPTESU7d/F052Ym9FUaVQd30bVqeRfBedszuTInZMeU/sxL2i6paxmMrFv3S4Cu7dgx09b7JItLXtktZZ4J5Eze09Syc+Xa2ftM0dURmIiom3q55pOtpiIKFzTyQbm0Y295g1h8cCZ3Lpsfo+VqvISJSqWYtLOWRiNRvK452Pwj2P48v0xDstlXXfrtnP1fHQfGpNB2z1OrP4evZtwl32/7MC7chl2r9r27AM8QWrbpMooX0btl5Fjfxzi2B/m78teb9PIoR/mrNmr/VI9SL7P0U0H8A2ozumdx59p3YWtxPBoclqNGMnp6UZSRMwj5Txee5UK/Zuz8Z0JmPSRiABOuXPg/+1gjn32E1GHLzikzo9zOyKafFb7znye7txJs23ejogin5c7t/VtM3uenCRabZs+zdK/pMyzfHEMRiPXTl6yX4C/ISE8mtyeD9sul4cbCem0XUaOzviFozPMHxf8Z/bizqWIZ17HjERHROHmmfYcOc3xOzwKdy93YiKiMBgN5MyTk/jYePNyq1GTrh4PX/u4db7d/z3yuuVl2rDPLctef7cBa2evArBcKutVuggXj51/pnkDOjSlwfuNAbh4/NwjnyHSnn+kPQd1tzoHzciDew+IvxcHwKWTF7gRFoGnt5dlwmph9u++xUHmel5GDp3CfImXhVIqL1AMc0dP2o4jDXPH0RJ91I+Ppmkva5o2Rn/+rn5pGkqp7MBsoJU+F9ACIPtT1Om+9vDrrxSeoqNN07RkTdN+1TRtCDCRh51ICzHPb5Q6aghN085i7tw6AUxSSo1OZ5UKc8dYasZXNE2znt039ZoBk9XPqY+dNE3bDrwOXAO+VUp1SKfO8zVNq6ZpWrXu3dOfcDmtTUt/s0yofOj3/dRrWR+A0r4vkRiX+MjJY+zNGO4m3LVMrlyvZX0ObTR/q3140wFe01//mtXyQxv383KN8hiMBlyyu1Da5yWun79GHre85NQnQnTO5kKFepW4fv7Rb33+KUdkA8iRJyflar3C4d8fLrN3NoCNS39leOBAhgcO5ODv+3itpT8AZXxfIimDfEkJSZTR873W0j9NPv9HlufMm9My0Z//+wGc2X+KpPgksuXIRvZc5rdethzZqPi6D1f+enYdX5md7/atWKLCI/EsZZ7GrELdSlw792zbL9WlY+cpXNKTAkULYXR2omazehzZeNCmzJGNByzbb/XA2vy5+6S+/CA1m9XDycWJAkULUbikJxePnuenz78jqHZ3BtfryZy+U/lz9wlLx1ChEh6W9fo2rEb4BdsJq+3JHlnTvtdeqVuJ6w7MlCr02HkKWWWr3qwux9JkO7rxIHVamkfGVA2sxV96thx5c9L362Gs+vx7Lhx6eEe8bct+Z0jNHgyr15vP3h3FjUvXM6VjCNJru7oc3XjApow5X30AqgXW5szuk+ms6SGD0WC5bMnoZKRyg6oO79RLFZomX41mdTmWJt8xq3xVnyIfQB73vADkzJuL+u2bsGP5H8+87k/DHu2XLWd28hXMD5jbspJ/FYfuT15UUUcvksfbg1zFCmJwNlKiRS2u/n7YpoxrhRLU+Kwz2zoFk2w1ybvB2YjfogFc/GkHl9dl/ohEgKvHLlCgpAeuRQtidDZSuVltTm+0uQCB0xsPUa2l+c6wFQNrcn73KctzSikqBtbk2NpHLx3zaV6Ho2v/LaOG4Naxi+T19iCP3nalW9Ti8sbDT34h5smss+XPDYBb+WK4lSvG1W0n7FldGxePncfD25OCxcz7kFrN6nE4zT7kyKYD1NPPtWoE1ub0bnP9Dm88QC39+F2wWCE8vD25cPT8Y9fp934jKvr5MKvvVJsRjFHXbvFqXfNcS3kL5MOjlBc39S9UnqWNS3+1TBRtPgetD5jPQRPjEjL4DGF9Dmr7WSE9edzyWm4iUqhYYTy8Pblhhywi63peRg79AUxWSnXQNG2pPnfQFMyXSiUCAUopNyAJc4dLZ335GqXUVE3TburP59E0LSzNulM7giL1+XpaAT/ry+KAvzur3l6gJbAceD91oVKqChChadp1pZQBqAQcB9A0bZ9SqhhQRV+OMt8lLVrTtGX6vEWd0tQpUv9ds5RSZTRNO6/fxayo3rH0REqpEsA1TdMWKKVy6b//md6T8+jmQ1T2r8KU7bO5p9/uPdWEkCmMCDTfQvnrEfPort/u/djWw5ZJ49bOXkXf2YPxa92QqOuRTO9pvivZ9fPXOL7tCJM2TMVk0tj64yaunr1MsXIl6BHcF4N+x4J963ZxdPOhRyv2L84GUK1JTU5sP0Zy0sM+vfyFXB2WLTWfj39Vpm6fQ3JSMvMGz7A8NzEkmOGB5isYF4+YZ7nN5rGthzmq5/tl9ir6zR6Mf+uGRF6PZFrPLwAoUqYYPYP7YUoxcfX8VRboo2zyFchP0Pz/A8wf6nat2cHxbUeyTD6AJZ8soPe0IJycnbh5+YbN73yWTCkmvh29kCFLR2EwGti+YjPXzl3h7aD3CT1xniObDrJ9xR90D+7H51tnkhAbz+y+5qnPrp27wv51u5m0cRopD1L4dvSCx95GWilF9yl9yZ47B0opLv8ZypKR8+2SKz32yJq/kCvdpvTBYDCiDIr963dzzI7vtcdl+370IgYsHYEyGti1YgvXz12leVBrwk5c4Nimg+xcsZkuwX2ZsHUGCbHxzNezNejwBoVKePCffq34Tz/zvDtTM/GW7ukxpZhYNnohA5eOxGA0sHPFZq6fu8pbQa0JPXGBo3rbdQvuxyQ937y+lin6+HznbLLnzoGTsxO+jWsQ3P5TIq/dYuDSkRidnDAYDZzedZxtP2x6TC3sm+/70QsZoOfbpedroec7tukgO1b8QdfgfkxMJ9/knbPJkTsHRmcnfBrXYGr7Twk/f5X3P+lMsfIlAFg7/WduWI2YdXS+Z91+8bFx9Fs4FCcXZwxGA3/uPsHW737PlHx/x5BPJnPgyHFiY+/Q8K129OrSnpbNmmR2tZ6almLi4IglNPj+Y5TRwIUft3H77DUqDWlJ1LFLXPv9ML6j2uCUKzv15vcDIPFaFNs6BVO8WS0K1XoZF7fclGpt7mzZO2AeMaee7Zc7f4cpxcSa0d/QdekwDEYDB1Zs5ca5qzQOasXVE5c4vekQB1Zs5f3gXny8dSqJsfF83/fh8di7ZjluR0QTfeXRuZMqvVmLxR9+/sjyzKKlmNg9aglNv/sYZTDw1/JtxJy9RtXBLbl17BKXNx6mQOVSBCwcQLZ8OSke4EvVgS35ueFQDM5ONFs1CoB78Uls6TcHzYEjEU0pJpaOXsiQpaP14/cfXDt3hXcGvs+l4xc4sukA25b/wUdT+/PltlnEx8Yzq08wYD5+71u/i8mbpmN6kMKSUebjtwbprhPMdw+OvHaLT/47CYCDv+1l9fSfWD39J7pP6cvEDVNRSrF88rfEx8TZNfsR/Rz0q+1z9XPQh6OwJ4VMZVhgEACLR8zVz0GzcXTrIY5uMZ+LVGtSk05ju5HXLR8ffz2K0NOXmNxhLOVrvsq7A9uQ8iAFk8nEouFzbaanEGb//tscZB71PNwFAkDvPJkNlMM84ikEGAy0AQIxzwFUBvhe07Sx+mtaA8P08veB3pqm7VVKxWualttq3eMxd+SEAleAME3TxiilWmIe4ZOE+XKxX4HBmqYdtF6HPnn1fzRN66SUKgsswzyqZz3QXdO0IkqpNzDfXS11Btr9QC9N0+7q6xgK+Gia9r7+uAnwBeZRPveBnvrv7Qv0xjy5tb9SqgHwmdV6R2qa9otSKhSopmlapFKqk/5zH33doZhHYr0JDNHXHw900DTtceNktXYl7HMZzL/BsrBVZNV8y8JW8UGJtzO7Gnbzfdh/s3y+jiVbZnY17GZJ6Mosn69byXczuxp2sSD0JzqXzLxJn+1tcejPdM3C+RaG/pzl2+9+ZPrzpGUFzgVK8Z1Xu8yuhl20vb6Mj0u2yexq2M3noT+woGjWbDuAbleX0T6LnlMDfBu2ijYl3npywefUD2Grn8OplJ/epBLtHNYBMixs2XP1t3xeRg6hadoVoFna5fpcOzdTOz7SvGY55hE8aZfnTvN4JOaJndOWW4nt3ET101uHPnl16mija0AtTdM0pdT7mCeJRtO034DfMgxonifJ8pWapmkbgA3p1GkGMMPq8WagejrlSlr9/A3mUVZpn1ui/xNCCCGEEEIIIcQL6rnpHHqOVAVmKnOvVSzmS9wypE8MvR84pmla5kwcIIQQQgghhBBCZHEmubAsQ89951DaUTGZTb+rWOW/UT4WeMl+NRJCCCGEEEIIIYTI2HPfOSSEEEIIIYQQQgjxJHIr+4w9L7eyF0IIIYQQQgghhBB2ICOHhBBCCCGEEEIIkeXJjEMZk5FDQgghhBBCCCGEEC8wGTkkhBBCCCGEEEKILE/mHMqYjBwSQgghhBBCCCGEeIHJyCEhhBBCCCGEEEJkeSaV2TX495KRQ0IIIYQQQgghhBAvMBk5JIQQQgghhBBCiCzPJPcry5DSNPnjiKcmG4sQQgghhBBCZF1Z+sKrkSU/cNhn2vGh3z9Xf0sZOST+lndLtMjsKtjNT2FraFPircyuhl38ELaad0o0z+xq2M2qsF9onUXbDmB52Oosu22CeftsV+KdzK6G3SwLW5Vl2+9FaLs+JVtndjXsZmbocjqWbJnZ1bCbJaEr+c6rXWZXw27aXl/G/ciLmV0Nu3AuUIqRJT/I7GrYzfjQ7xlXom1mV8NuRod9x9vFm2V2Nezmv5fX0q3ku5ldDbtZEPpTZlfBrmS0Q8ZkziEhhBBCCCGEEEKIF5iMHBJCCCGEEEIIIUSWZ8rsCvyLycghIYQQQgghhBBCiBeYdA4JIYQQQgghhBBCvMDksjIhhBBCCCGEEEJkeXIr+4zJyCEhhBBCCCGEEEKIF5iMHBJCCCGEEEIIIUSWJ+OGMiYjh4QQQgghhBBCCCFeYDJySAghhBBCCCGEEFme3Mo+YzJySAghhBBCCCGEEOIFJiOHhBBCCCGEEEIIkeXJ3coyJp1DwqE+HNONKv5VSU5KZtbgaVw6efGRMqUqlKb3lH64ZM/G4S2H+HrMAgDaD+9E1YbVeXD/ATfCIpg1ZDqJdxIoWLQQX/0xk+sXrgFw9shZFoyY49BcAB3HdMXHvyr3kpKZM3g6oelk865Qmo+m9MMluwtHtxxiyZiFANQMrEOroPfxKlOUUc2HcPHEBQAKFC3ElD9mcP3CdQDOH/mLRSPmOi6UlS5julHFvxrJScnMHPwVFzNou75T+uttd5BFetu1GdSW6gE10UwmbkfdZsagacTcjCZnnpz0/2ogBb0KYnAy8sv8/7L5pz8cHQ2ATmO64qtvm3MGT0932/SuUJpeevsd2XKIb/T2q6W3X5EyRRlh1X5GZye6T+xJqUpl0Ewmvhm7iNN7Tzo0Vyp7bJ+lK5el66ReACgFP3/1Iwc37HNYpvZjuuDjX4XkpGTmD56ZbqaSFUrRY0pfPdNhvh2zCIBc+XLTZ9YgChYtyK2rt5jR60sS7yTwZo8W1GnxOgAGJyNFyhShp++HJNyON+c0GPh03efEREQzpfNEh+S0R9sBFC9Xgi6TepIzd05MJo2RzQdzP/m+QzLZo+1SlapUhjGrJzGjTzAHQvZYlufInYPP/pjOwQ37WDp6of1DAuX9KtNqdCcMRgO7l29m45w1Ns87uTjRPrg3xSuUIiE2jsV9phF99ZbleVcvd0ZuDCbkq5/4Y8E6c468Oflgcg88Xy4GGnz38RwuHT7nkDwAFf18aDu6MwajgW3L/2D9nP8+kql7cD9KVihFfGwcs/sEE6ln+k+vt3n9vYaYUkwsG7uYk9uP4pzNmeHLP8UpmzNGo5EDv+7hv1OXA9D1yz6Uq/kKiXGJACwcPJPLp0MdltWaZ/1KVPu0Pcpg4PwPWzk9c63N8+W6N6XMB/UxPUghOSqOvQPnk3AtCtdXi1N90oc458mBlmLi1PQ1hP3iuP3kszByYjDbd+3HzTU/q5dlzjnI31XWrxKBoztgMBo4tHwL2+fYtpfRxYlWwT3xquBNYmw8y/tMJ/ZqJEZnIy0mdsWrojeaphEydimX9v6JS67sdPtptOX1eT3cObZ6JyHjvnV0tEeU9qtEk0/aYzAaOPLjVnalyVq8RjmafNKOwuWKs7LvTP4M2W957oMlH1PUtwyXD57lx85fOrrqT63L2O5U1c/RZgyaxsWTFx4pU6piafpNGYBLdhcObTnEok/m2zzfovvbdBrZmQ6V2xIXc8dRVU/Xq34+vD/6QwxGAzuW/8Fvc1bbPO/k4kTn4L6U0Pej8/tMJerqLcrXq0TL/2uL0dmJlPsP+Hnit5zZY3te2XvB/1GweCHGNBnkyEgii5DLyjKBUipFKXVUKXVMKXVYKVUns+vkCL7+VfH09qSv30fMGzaLbuN7pluu24SPmDdsNn39PsLT2xOf+lUAOLbjKAMb92XwG/25fukab/dqaXlNRFgEQwKDGBIYlCkdQz7+VfHw9iTIrycLhs2my/iP0i3XeUIPFg6bTZBfTzy8PamsZ7ty9jLBPSZzZt/pR15zIyyCYYFBDAsMyrSOoSr+VfH09qK3Xw/mDptF9wzarseEnswZNovefj3w9PbCV8+3et4qBr7Rj0GBAzj4xwHe698agKYd3uTquSsMbNqf0a2H03FkZ5ycHd9nndp+/Z/Qfl0n9GD+sNn019vPx6r9pvSYzJ9p2q9hmwAAhjTpz/h2Y2g/8kOUUvYNkw57bZ9X/gpjRLNBDAsMYnLHcXSd2BOD0TGHlcr+VfDw9mSQX28WDZtLp/Hd0y334YQeLBo2h0F+vfHw9qRSfV8AmvV6m9O7jjO4fh9O7zpOs17vALB+3hpGBA5iROAgVny2jD/3nbZ0DAG80flNrp+/av+AOnu1ncFooPdXQSwaPpchAf34tPVIHtxPsXsesF/bgbnzrvWw9hzffvSR9bUa1IYz+07ZJ1Q6lEHx3rjOzO40ifEBA6navC4eZYrYlKn9XgOSbicwtn5/tiwKocXQD2yebzmqI6e22mZp9UknTm87xviGA5nUdAgR56/ZPUsqZTDQYVw3pnSawLCAAdRqXg+vMkVtyrz+XkMSbsfzcf0+bFi0jveGtgfAq0xRajarx/DGA/iy43g6ftoNZTBwP/k+kz8Yw6imgxgVOIiKfj6U9i1rWd+PE5cyOnAwowMHZ1rHkDIoqk/syJa2n7Ou/seUbFGLvGW9bMrEnAzl16ajCGk0nMvr9+M7qg0AD5Lusaf/XNb7D2VL28+pOrY9znlzZkaMf+ytwADmBo/P7Go8NWVQNBv3IUs7fc70gCFUbF6Hgmnee1Xfq0/S7QSm1h/I7kW/0mSoub2qvd8AgJlvDOWbdpN4Y0Q7lFLcS7jLrMDhln+x1yI5/dsBh2dLSxkUTT/txPcdP2d2o495tXltCpS1zXr7eiRrBs3jxJrdj7x+z/z1rA5y/Hnz31HFvypeJb3o9XoP5gydRY8J6Z+DfjShF3OGzqTX6z3wKulFlfpVLc+5exag8ms+3Lx601HVzpAyGPhgXBemdZrA6IAgajSvi2ea/Wi99xqQeDueEfX7smnROloObQdAfMwdZnSZzNg3BrF40Ew6T+1r8zrfJjVITrzrsCzPK82B/5430jmUOZI0TfPRNK0yMAyYlLaAUsro+GqBUspun8yrB9Rg28otAJw7cpZceXORv5CrTZn8hVzJkTsnZw//BcC2lVuo0bgmAMd3HMWUYrK83t2zgL2q+rdVDajBjpVbATh/5Cw5H5PtnJ5tx8qtVNOzXT9/lfCL1x1a57+jRkBNtuptd/bIX+TKmwvXNPlc07Td1pVbqNm4FgBJ8UmWctlzZkfT95aappEjdw7z8lw5iI+NJ+WBYz6gWqseUIPtevs9adtMbb/tK7dSXW+/axm0X9GyxTix+zgAd6Juk3AngVKVytgxSfrstX3eu3vP8p50zubs0KNg1YAa7NQzXXhsm+Xg/OGzAOy0ymT9NzFnrfHI76jdoh571uywPHbzcMenQVW2/rjJDonSZ6+2q/S6L5fPhHL5z1AA4mPj0EyOmaLRnm3XuFMgB37dw53I2zbrK1mhFHkL5OfE9mN2SvWokj5liAy7QdSVm6TcT+Hw2t1UalzdpkylxtXYt3IbAEdC9vJynQo2z0VevkHEuSuWZdlz56B0jfLsWb4ZgJT7KSTdSXRAGrNSPmW4ERbBrSs3SLn/gH1rd1IlTaYqjR+274GQPbxSp6K+vDr71u7kwb0HRF69yY2wCEr5mPeHqR9mjE5GjE5OlmPEv4W7b2niQm8Qf/kWpvsphK3ZS7EmVW3K3Nj9JylJ9wCIPHyenJ5uAMRdjCDu0g0Akm7EcjfyNtnd8zg2wP+omk9F8uV9fupc1KcMUWE3iNHfeyfW7qF8Y9v2Kt+4GkdWmvfvp0L2UUp/7xUsW4QLu8wjMRKi7nD3TgJelUrZvNa9pAe53fMSuv+MA9I8XhGf0sSE3iD2innbPLV2Ly8H2Ga9fTWSm2euoJkefWNd2nWK5IR/d2dCjca12LLSvM970jnoX/pxcMvKzdRoUsvyfOdPurJ04tf8G3Yu3j5luBUWQeSVm6Tcf8CBtbvwaVzNpoxP4+rs1o8Nh0L2Uk7fPq+cCuX2zRgArp+9gnM2Z5xczB/dsuXMTkDXZqyfsdKBaURWI51DmS8vEAOglKqvlNqilPoeOKEvG6iUOqn/G6Av+1gp1U//eapSarP+c0Ol1DKllFEp9Y3+mhNKqSD9+dJKqd+UUoeUUjuUUuX0TBx/MQAAIABJREFU5d8opYKVUluAz+wV1M3DnajrkZbHURGRuBV2ty1T2J2oiKiHZcKjcPOwLQPg/15Djmw9ZHlcqFhhPg+ZytjlEyhX/RU71P7x3DzcbLJFR0ThVtjNtkxhN6IfyWZbJj0FixVmUkgwo5eP5+VMyAbmtou8/vBSh6iIqAzazqp9wyNt2u6DIe2Yv2cRr7/lx4/B3wEQsmQ9RcoUZdGBb5i6YTqLxy5Ay4QDt2ua9ot6ivaLDo/C9QntF3Y6lOoBNTAYDRQsVohSFUrj7uX4Tk17bp+lfcryxcbpfL5hGgtHzLF0Ftlb2jaLjojCNU0m18e0Wd4C+YnVT7Bib8aQt0A+m9e6ZHehkp8vB37da1nW7pPO/DBxabon2PZir7bz9PZC02Do0k+YuH4KzXq8/Wwr/hj2ajvXwm5Ua1KTP5b9brMupRRtR3bih4lL7JInI/kKuxFz/WGGmPAo8hV2zbCMKcVEUlwiuVzz4JIjGwEftSBk2s825d2LFyI+6g7tvuzJ/62fzAeTe+CSI5v9w+hcC7sRbd124dG4pjkWWJdJzZTbNQ+uhd2Jvp6mTfV2VwYD40K+ZMahxZzaeYyLRx9eJtdq8AeM/zWYD0Z1snwIcrQcHq4kXo+2PE4MjyaHp2uG5Uu38eP65kc7It19SmFwcSIuNPNHL2RleQu7cttqW7sTHk3eNPsY6zKmFBPJcYnkdM1DxJ+XKR9QDYPRgGvRgnhV9Cafp+1rKzWvzYl1e/g3yOPhxu1w26x5PDLeNp9H7h7uRIWnOUdL89nAzSPNOWhEJO56meoBNYiOiCJU/zIks+Uv7GazL4wJjyZ/mv1o/sJuxKSzH7VWpWktLp+6xIN7DwBoMag1Gxeu5d7dZDsneP6ZHPjveSOdQ5kjh35Z2RlgIfCp1XM1gBGapr2ilKoKfAjUBGoB3ZRSvsB24DW9fDUgt1LKGagH7AB8gCKaplXQNK0i8LVedj7QV9O0qsBgYLbV730JaKRpmt0uUE33cpo0HQHpF7Et806fdzE9MLHjv+Ye9Zib0fSs3ZWPA4NY8uli+k8fZBmN4ijpZXukj+NpyqQRezOavrW7MSxwIN9++jV9pw90eDZ4unZ5Upnvv1hG99pd2L56G007vgmAr58voacu0aV6JwY1HUDXcT0yKd+T2yb97ffx692yYhNR4VFMWjuFjqO7cPbwGUyZMDLKXtsnwIWj5xgS0I8RzYfQoldL8wgiB0g/U9pt8sllMuLbqDpnD56xXFLm06Aqd6Jupzs3jj3Zq+0MTgZerl6eWf2DGdNyGNXeqMmrdSv9DzV9evZqu3afdObHyd8+MgKqUYc3OLrlMNFWH6Ac4Wn2GeleZappvBn0LpsXredeou1JvtFopFgFb3Ys28hnbw4lOekuAT1bPLtKP8H/1HbpZtX/M5kYHTiYoNrdKVW5LEVeKgbAT58tY2jDfoxp8TG58ufmzY8c14lp7e/s/0u+Uxf3SqU4PWe9zfLshfJTZ0ZP9gTN/1eMXsjSnmb/kUGZwyu2cjsiip5rxxP4SXsuHzr3yJceFZvV5vgv/47OoXS9ANvXI/uddHYwmqbhkj0brfq8xw9TvnNU1Z4oo/2+bZnHb8NeZYvScmhblg03z6tU7JWSFCrhwZEN+x95nRB/h0xInTmSNE3zAVBK1QaWKqVSx5Lv1zTtkv5zPeC/mqYl6GVXYe4UmgNUVUrlAZKBw5g7iV4D+gHhQCml1AxgPfC7Uio3UAf4yWqHY/1140+apj3yqVUp1R3oDjBv3ry/HbRJh0AavW+ed+X88fM2oybcPQoQfTPapnxURJSlpx/A3dOdmBsPy/i19Kdqw2qMbTPKsuzBvQfE34sD4OLJC9wIC8fTuwgXT5z/2/X9OwI6NKXB+43Nv/f4OZtsbh7uxKTJFp3mm4602dJjne3SyQvcCIvA09vLZlJZe3mjQyABer7zx89RwKsg8Cdg/hYnbT5z21m1r2eBdPPtWLONEV+PZvnUH2jwbkNWzTYPf40IC+fmlRsUKV2U88fsP7lq4w5Naajnu5Cm/TLKZ91+bk/RfqYUE0s/XWx5PG7VZMJDHXP5oCO2T2vXz18lOSmZYi8Vt9v22ajDG/jr+5OLafYnbh7ultEkqdJmcvN0J/aGucydyFjyF3Il9mYM+Qu5PnIZUu1m9djzy07L45eqlaNKo+pUrl8F52zO5MiTk55f9WfOgGnPPKcj2i46PIo/954iLsa8fzm65TDeFUpxatfxZxXDhiPazrtSafrMGAhAHrc8VPaviulBCmWqvMzL1cvTqP0bZM+VHSdnJ5IT7rL8s2V2yZoqNiIKV6+HGVw93S2XAzwsE42rlzuxEdEYjAZy5MlJQmw8JXzK4BNYk7eGtSVH3lxoJo37yfc58uteYiOiCDtqPr4dDdnn0M6h6Igo3KzbztON2PS2R68CxKTJFBMRhZtXmn1omtcm3knkzN6TVPLz5drZK9y+FQuYj4U7ftpC027N7ZguY4nh0eT0ejh6JKenG0kRMY+U8/h/9u48PKbrDeD490widpHEkgQlKD+tkhBrtRFqS2upXWsrta+xtGKntNVWLLUrSrVKS6k2VVqCUkUSS2ntYo3IKiKCzP39MdeYTBK0NRPi/TyPR+bOuTfnzXvm3Jkz55770vNUHtKCLa2nYtS/zQdwLJAX/y9GcHDaN8SG2/78/bS7FhWHs0VbK+ThSpLVa+9umWt6O81dMB8pCaYvA356717f0HvtRGLPRJkfu1d6BoODA5f+PMPjICkqDmcPq1ivJGRjjR6NZl0DaNSpCWB6D2q5lISbe8ZznGmmkNVnjCtxuJd2p3ip4szYNNu03aMI00Nm8k6LYSRczZ6/U3xUXLq+0CWTfjQ+KhaXTPpRMM2+7b9wJEuHzeHqOdMlq2WrVaD0C2X54Le5ODg4UNDNmRFfT+STjhPtFteTRHsiVwOyD5k5lM00TfsdKAIU1TclWzyd6cq1mqbdBs5imlW0G9NsIX+gHPCXpmnxQFUgFBiAaXaSAUjQ1zq6+6+SxWEtf6/l71qkaZqvpmm+vXtnvmjo/fy8IsS8UPS+zXvwa+MPwLM+FbiRlJzhA0FCdDwpySk861MBMA0G7dtiGgX39vOhVb82TOs5lVs3b5n3KeRaCIPB1JSLlSqOh5cn0eeisLUtK34yLxS9f/MfvNSmPgDl7xPbzeQUyuuxvdSmPmFb7j/CX9C1EMoiNncvD67oJwJb27QihOEBQxkeMJS9m/+gvp67Cj4VuZF0g3ir+OL1+Cr4VASgfht/9m4x3ZHFo4yHuVyNRjW5eMq0oO/VizFUebEqAM5FCuNZtgRX7JA7gM0rfuLdgEDeDQhk3+Y/eFnP3/3a5k2Ltvlym/rmtpkVpzxO5NYv+XihXlWMd9K4eMI+ixnbo30WLVXMvAB1kRJF8Sxbgqs2XOzxlxWbzItFh23eSz09pnI+FbiRdCOLmG5STo+pnkVM4b/sM/9NrGPNWzAf/6v9HOGb721b89GXDK7di8B6fZk7KJijuw/bZGAI7JO7Q9sjeKZSaZzyOGFwMFCp1vNctFjb5lGzR+6G1etHYL2+BNbry96Q3/l83CLCNu9l/pCZDK3bh8B6fflq6nJ2rgu1+cAQQOTBUxQt445byaI45HKgWvO6HNqyP12Zw1v2U6uNHwA+AbU5vtu0YPbM9hOZUG8QE+oNInRpCJvnfseOFT+TdDWR+EuxFCtr6lMrvliZKDv1KQBnDp6keBkPipQshkMuR2o1r0eEVUwRW/aZ81sjoA5/7f5T376fWs3r4ejkSJGSxShexoPTB05S0LUQ+fQFmnPlduK5F6uY7z7qXLSw+bjVGtfkwnHbtdH7iT1wmoJe7uQvVRRDLgdKt6zNhc3h6cq4VC5NzWk92N49mNTYe3dCMuRywG/JUE5/s5NzP8i3+vZw8eAp3Mq446K/9l5oXoe/t4SlK/P3ljB82pgm4T8fUIvT+msvVx4ncunn7XL1KmO8k8ZVi0Xfq7Soy6GNGRd2zi4XD57G1cudwnrbfL55bY5bxfok+mlFCMOaDWFYsyH88fMe/NuYFgq/33vQFIv3oP5tGrB38x7OHYuke7Uu9Hnxbfq8+Daxl2MYHjA02waGAM4ePEkxi360RvMXOWjVjx7Ysp+6+rmhekBtjun9aN5C+Ri0LIh1H33FqbBj5vLbV25mZK0+BNUbwLR247hy5pIMDIl/RWYOZTN93R8HILP57juAz5VSH2IaKHod6GLx3AigB6b1iYKBME3TNKVUEeCWpmlrlVKngM81TbumlDqjlGqnado3yjR9qIqmaXZbnTN8axg+/r58umMBt1JSmTviU/NzH4fMYGRAIACLxyzQb2XvxIHQcCK2mU5yPSf3wdEpF+NWTgLu3bK+Uq3n6TDsDdLupGE0Glk0ej7XLe4uZA8RW8Pw9q/OzB0LSE1JZeGI2ebnPgiZQZAe29IxC/TbTefmQGgYB/TYfJvUovukXhRydeadZeM4e/QMH3adRKVaz9NuWCdzbEtGL0h35yR7Cdu6n2r+1Zm3Y6F+K/t78U0PmcnwgKEALBwzX7+VvRPhoeGE6/F1HtWNEmVLYDRqXL0YzcLRpisav5m9mkHThzDj59kopfjiw+XmmQz2FLE1DB//6szS2+Z8i/imhczgXT1/n41ZQP/pg8lllb8aTWrxlp6/d5eNI/LoGd7vOgnnIoUZvWICmmYkLiqOOYEz7R7b3fhs0T4r+j5Hy/6tuXM7DU0zsnTsQrvl78DWMKr6V2P6jnnc0m+HftfUkOmMCTBdIbtszEJ667dDPxgazsFtpg90G+etY9C8Efh1aEjspRhm97t3C1/fJrU4vOMgqSnZf92+rXKXfC2ZkM++Z+rGT9A0jQPbwonYap8PFLbM3ePEmGZkzfilDFgxGuVgYM+aUKJOXODVwHacO3yaw7+EsXvNNroGD2RC6CySE66zbNCDBxy/mbiM7jMH4ZDLkZjz0awcYb87DRnTjHwx/jNGrhiHwcHAjjVbuXjiPK8HduTs4ZNE/LKfHWt+pXfwYD4KnUNywnXmDZoBwMUT59n7w24+2DKLtDtpfDF+MZrRSOFiLvSaPhCDwQFlUOz9cTcH9bbYd9ZQ05ckSnHu6Bk+H7PoftWzGS3NyP4xy2nw1TsoBwOnvt5O4vGLVBnZhtiDZ7i4ORyfcZ1wzJ+HeosGA3DjYizbuwfzTPPaFKtdESfXApTt8DIAe4YuJP7IuWyJ5d8YOeFD9kUcIiHhGg1bdaZ/zy60ad4ku6uVJWOakR/Gf063FaNMt7JfE0r0iYs0DGzLxcOn+fuXcMLWhNI2uD+BocGkJCSzepDpPWn+IoXotnwUmqaRFBXPt8PSv74qv1qbFW99lB1hZUpLM/LT+M95c8W7KAcDB9Zs5+qJi9Qf1oZLh85w/JdwPKuUpf2iQPI456PCKz74BbZhQaN3Aej+zTjcynnilD8PQ/d8ysZ3FnFqx+Fsjiq9sK37qe7vy/ydi0y3sh9xr58M/mkWw5oNAWDhmHnmW9mHbwszvwd93BjTjHw1fglDV4xBORjYtWYbl05coEVgByIPn+LgL/v5bc1WegYPYmropyQnXGeR3o826NqUYqXdeW1wW14b3BaAGV3eI8liQFo82JO4FpC9qOxY/PVpp5RKQ19wGtOgz2hN035UStUHRmia9ppF2WGYBoAAPtM0baa+vSGwCSisaVqyUuo4sEDTtGClVFVM6wzdnRkWpGnaT0opL0yXpHkAuYCvNU2brJT6HPhB07T0K19mpLUrbb/p6/b2TeQGOpVuld3VsIlVketpXTp7puPbw7rI7+mQQ3MHsDpyfY5tm2Bqn51Lt35wwSfUysh1OTZ/T0PuBpbpkN3VsJk5Z1fTrUyb7K6GzSw/u5YvPTtndzVs5s1LK7kdY9910OwlV5GyjC3zRnZXw2amnP2KyaXfzO5q2Mz4yC95/Znm2V0Nm/nu3EZ6lWmX3dWwmcVnv8n06pWcYmCZDnYbAJlzdvUT9beUmUPZQNO0TG9Tr2laKKZLwSy3BWOaFWRd9ldMAzx3H1ew+PkgUC2Tfc4ATTPZ3v1h6y6EEEIIIYQQQoicRQaHhBBCCCGEEEIIkeMZZUHqLMmC1EIIIYQQQgghhBBPMZk5JIQQQgghhBBCiBxP5g1lTWYOCSGEEEIIIYQQQjzFZOaQEEIIIYQQQgghcjxZcyhrMnNICCGEEEIIIYQQ4ikmM4eEEEIIIYQQQgiR4xmzuwKPMZk5JIQQQgghhBBCCPEUk5lDQgghhBBCCCGEyPE0WXMoSzJzSAghhBBCCCGEEOIpJjOHhBBCCCGEEEIIkePJmkNZU5om06rEQ5PGIoQQQgghhBA5l8ruCthSjzJt7faZdunZb5+ov6XMHBL/SOfSrbO7CjazMnJdjo1vZeQ62pZukd3VsJlvI7+nXemW2V0Nm/kmcgOtc3D+1kV+n+PbZ07uW94o/Xp2V8Nmvor8jrfKtMnuatjMsrNr6VS6VXZXw2ZWRa7nnTKdsrsaNvPR2VWMLfNGdlfDJqac/YrbMaezuxo2k6tIWQaW6ZDd1bCZOWdX0yWHnvcAvngKzn05maw5lDVZc0gIIYQQQgghhBDCzpRSTZVSx5RSJ5VSozJ5PrdSarX+/B9KqTIWzwXp248ppZr817rIzCEhhBBCCCGEEELkeI/TmkNKKQdgLtAIuADsU0p9r2naUYtiPYF4TdPKK6U6AtOADkqp54COwPOAJ/CLUqqCpmlp/7Y+MnNICCGEEEIIIYQQwr5qAic1TTutadot4GvAeq2MlsBy/edvgYZKKaVv/1rTtFRN084AJ/Xj/WsyOCSEEEIIIYQQQghhXyWA8xaPL+jbMi2jadodIBFwe8h9/xG5rEwIIYQQQgghhBA5ntGOd2tXSvUGeltsWqRp2iLLIpnsZl3BrMo8zL7/iAwOCSGEEEIIIYQQQjxC+kDQovsUuQCUsnhcEriURZkLSilHwBmIe8h9/xG5rEwIIYQQQgghhBA5nmbHfw9hH/CsUspLKeWEaYHp763KfA90039uC2zVNE3Tt3fU72bmBTwL7H3oP0QmZOaQEEIIIYQQQgghhB1pmnZHKTUQ+BlwAJZqmnZEKTUZ2K9p2vfAEuALpdRJTDOGOur7HlFKrQGOAneAAf/lTmUgg0NCCCGEEEIIIYR4Chj/27I8j5ymaSFAiNW28RY/3wTaZbHvVGDqo6qLXFYmhBBCCCGEEEII8RSTmUNCCCGEEEIIIYTI8bTHbObQ40QGh4TNdZnYE2//aqSmpLJoxBzO/nk6Q5kylcvSZ/ognPI4cWBbOF9MXAJAfucCDJw7nKIli3L1wlU+7f8JN64lU6n28wQuHsXV89EA7Nu0h/WzvwFgxm8LuJmcgjHNSFpaGuObv5NjYstXKB9vTxtAyQql0IDFI+dwMvy4zeKz1GNiL3z8fbmVksqcETM5k0msZSuXY8D0ITjlyU3Etv0snbgYgC6ju+PbsCZ3bt8hKvIyc0fO5sa1ZBxzOdL7/f6Uq1IezaixbNJijuz50y7xWHtrYi+q+VcnNSWVuSNm3Se+wTjlyU34tjCWWcRXvWEN7ty+w5XIKHN89Vr50bJ3K/P+z1Qqw7uvDuPs0TN2i+uunhN7Uc3fl1Q9f6eziG+Qnr/wbftZosfXafib1GhUC81oJDE2kU+HzyI+Oo58BfMxZOYwinoWxeDowPeLvmPrN7/aOzTgv7XPjnp8RqORa7GJzNHjq9GoFh2Hv4nRaMSYlsaySZ/x9/6/7BKPLfoWgEq1n6fz+B445HIgKS6JqR3GAfbtNwG6TuyJt391bqWksmDEp5nG51W5LH2mD9bjC2OFRXyD5w6naMliXL0Qzez+n5B8LZm8BfMxYOZQ3DyL4ODowI+LNrD9m60AdBzVBZ8GvgB8N3sNe37YZdP47qrs580b43tgcDCwY/WvhMz/Lt3zjk6O9AoeTOnKZbmekMT8gcHEXrhK/sIFGDB/JF5VyrHr21BWTvjMvE/rEW/wYms/8jnnp9/zne0Sx/10m/i2OZfzR8zOIpfl6GuRy+UTTfHUCqhL28COeJYvybgWIzl9+JR5n2f+V5qeH/QjX4F8GI0aY1uM4HbqbbvFBVDBryotx3dFORjYu3obofPTrxHq4ORIx+D+lKjsxY2E63w5cBbxF2Lwafkifn1eM5dz/98zzHptNHGRV+j3zQTzdmd3N8LX/8bGySvsFtNdz/pVIWB8VwwOBsJWb2PH/I3pnndwcqRtcD889dhWD5xNwoUYHHI50PL9t/F8wQtN0wiZtIIze/7CKX8een1jvgqCQu5uHFz/GyGTv7B3aP/Y2PeD2bFrL64uhVm/ckF2V+ehVPKrStvx3TE4GNi9eitb5m9I97yjkyNdggfwTOWyJCcksXTgLOIuXDU/7+LpxtgtwYTM/IZfF/8AgH/PAOp2aICmwaVj51g5cj537PCa6zKxJ1UtzneRWZzveuvnu4OZnO+KlCxKjNX5LqvjunkWoee0/rh6FgFN45PuU4i5cJXn6lam05juOOZy5MzhU3z2zlyMaUabxf1fzoO1AurSJrCD3ne+wxm976xcryqdRnXBIZcjabfv8OX7yzm6+7DNYhA5j1xW9hhRSqUppQ4opf5USm1UShX+D8earJR65VHW79+o6l8Ndy8PhvsNYEnQArpP6Z1pubem9mFJ0HyG+w3A3cuDKvV9AGje/3WO7jrEiPoDObrrEM37tzbvc2zfX4wJGM6YgOHmwZO7pnYcz5iA4Tb9gJMdsXWZ0JND2yN4p+FgRjcdxqWTF2wWnyUf/+p4eHkyyK8PC4Lm0ntKv0zL9Zraj4VBcxnk1wcPL0986lcD4NDOAwQ2HsjwpoO5fOYSrfu3BeCVTo0BGN5kMJM7j6fr2B4opewSkyVTfB4M8uvLwqC59Moyvr4sDJrHIL++eHh54K3Hd3DnAYY1HsSIpkO4dOYir/dvA8Bv67czMiCQkQGBfBo4k6sXorNlYKianr8BD8hfn6n9mB80lwFW+Vu/cB3Dmg5meMBQ9v+6j/ZDOgDQrOurXDhxnmHNhjC+w2i6je2BYy77f+fwX9vnhoXrGN50MCMDhhL26z7a6fEd3nXQvH3eyE/pN22QXeKxVd+Sr1A+uk/pTfDbHzCq0VA+7f9JuuPZo98E8PavhruXJ8P8+vNZ0Hx6TOmTabkeU/uyJGg+w/z64+7lSVU9Xy36t+bPXYcZVn8Af+46bI6vcddmXDhxnqBmw3ivwzjeHNsdh1yOeDeojlflsgQ1C2R8y3d4rU8r8hbIa9MYAZTBQJfJvZjRfSpjGg2lVot6eJYvma7MS+0bkpx4nVH1B7J5yQ+0H9UFgNupt/lu+ipWv59x0ODAr/uY3PJdm9f/YXj7V8fdy4NAv34sDppHzyl9My3XY2ofPguaR6BfP9y9PMy5PH/8HMF9PuTvP46mK29wMDBgZiBLRi9gZKPBvNdhLHdu/6c1Nv8xZVC8PvktlnSfxvRGI/BuUZdi5UukK1OzvT8picl8VD+QnUtCCBj1BgARG3YxMyCImQFBfB04j/gLV7l8NJLU5Jvm7TMDgoi/eJU/N/2nG8v869iaT36LFd0/YnajkbzQoi5FrWKr3r4+KYnJzKg/jN1LfqLJqE4A+HZsAMCcpqP4vPMHNB3TGaUUt5JvMjdgtPlfwsUYjm7aZ/fY/o1WAY1YEDwlu6vx0JRB0X5yD+Z1/4ApjYZRvcWLuFvlr077BqQkJjOp/hC2LQmhpd4272ozrhtHQg+YHzsXd8GvezM+ah7E+01GYDAYqN68rs1jqepfjeJeHozwG8DSoAW8lcX5rvvUPiwNms8IvwEUtzrfHdl1iJH1B3LE4nx3v+P2CR5MyMINjGo4mAkt3uVaTCJKKXpPH8zcgdMJajyUmItXeamtv83i/q/nwfPHzzGjz7QMfWdS/DU+7jGVUU2GMn/YbPrPGGKzGJ5kRjv+e9LI4NDjJUXTNG9N0ypjWol8wL89kKZp4zVN++XRVe3fqd6oJr+tDQXgVMRx8hfKT+FiLunKFC7mQt4Cec0zYH5bG4pv41rm/Xfq++9cG4pv45p2q/uD2Du2vAXyUrHWc4R+bUpr2u073Lh24xFGlLUajWoRunYbACcijpEvi1jzFcjH8fBjAISu3UaNxrUB0+DJ3W9fjkccw83DDYCSz5bi8O5DAFyLTeTGtWTKVSlvl5gs1WhUk+3m+O6Xy3vxbV+7jZp6Lg9ZxHci4jhuHkUy/I4XW7zEru932jKMLNW0yN/xiGPkL5QfF6v4XKziC127jVp6/lKup5jL5cmXB02fjatpmvlDdp78ebmecJ20O/b9AAf/vX1axpfbIr6bN25abM9tt2nItupb6rZ8mX2b9hB7KQYwveayg6l+pnydjDieZb7yFsjLCT1fO9duM8dhub9puynu9O0xD9cTrmO8k0bJZ0vx1x9HMKYZSU1JJfKvs1Tx87F5nGW9yxMdGcXV81dIu32HvRt/w6dxjXRlqjWuyS49V/tDfqdS3RcAuJWSyon9f2c6U+Z0xAkSrybYvP4Pw7Kt3T+X+Sxyea+tXjp5gcunL2U4bpWXfTj391nO/XUWgOsJSWhG+77NLuVdnpjIKOLOR5N2O42DG3/n+ca+6co817g6+9fuAOBwyB+Ur1s5w3G8W9TlwPe7M2wvUsadAm7OnNn7t20CuI+S3uWJjbxCvB7b4Y2/U6lx9XRlKjX2JWKt6Zx1JOQPyuqxFX22BKd2mWb4Jsde4+a1ZDyrlE23r1sZdwq4FeJsNsT2b/h6v4BzoYLZXY2HVsa7PDGRV4jV8xe+cTdVrPqWKo19+WPtdgAiQvZQ0aJtVmnsS8y5K0SdOJ9uHwcHA7nyOGFwMOCU14nEK/E2j6Wa1fkuX6H8OFv1Ic6ZnO+q6328+mrHAAAgAElEQVRINavzXXX9PJHVcT2fLYnB0YE/fzsIQOqNm9y6eYsCLgW5c+s2UWcuA/DnzoPUaFbbZnH/1/NgVn1n5JEzJESb8nbh+Dly5XbC0UkuFBIPTwaHHl+/A+avAZRSI5VS+5RSh5RSkyy2j1NK/a2U2qKUWqWUGqFv/1wp1Vb/uaFSKkIpdVgptVQplVvfflYpNUkpFa4/979HHYSLu6v5gwhAXFQsLsVd05cp7kpcVOy9MpdjcXE3lSlUpLC5k0uIjqdQEWdzufLVKjL1p2BGLh9LiWdLmbdraIxaOYH3fvgY/06NHnVI9+pt59iKPlOcpNhr9P5kIFNCPuHtaf3JnTe3zeKz5ObuRuyle9OR46JicSvulr5McTdioyz+HpdjcHNPXwagQftXCA8NB+Ds0bPUbFQLg4OBYqWKU7ZyOdw8Mw6s2Jqru1u6XMZGxeBqFZ9rcTdiLXIZezkW10zi82/fkIjQsAzb6zavx28bdjzCWj88V3c3YizyFxsVm0V8Fn+DyzHp4ntjZGcW/b6El1v58XXwlwCELP+REuVLsmTf58z4eTZLJy1G0+x/HfejaJ+dRnZmwe9LeKmVH6v1+ABqNqnNrF/nEbRsPPNGzrZhFPfYqm9x9/Ikv3MBxnw9mfd++Jh6reub97dXvwng4u5G3CWLuj90fKZ8OVvF56zHt3l5CJ7lSzJ33xKm/TyTFZOWoGkakUfPULV+NZzyOFHQpSDP16lsl37GpbgrcZZ5vByHi1W7LGxRxphmJCXpBgVcnpwPqa6ZtFVXq1y6WuXS1HemL2PNw8sTTYNRKybw/o/Tad7n9Udb8YfgXNyFRIt2mng5lkLFrT60Fnc1lzGmGbmZdIN8Vvmr+lqdTAeHvFvU5eAPv9ug5g9WyCq2a5fjKGSVN8syxjQjqXpsUX+do1IjXwwOBlxKFsXzBS+cPdLvW6VFHQ5nU2xPA+firsRb5C/+cizOmbTNeIv8pSTdIL9LQZzy5qZR35aEzPo2XfnEK/H8uvgH3ts9j6l7F5KSlMLfOw/ZPBYXd6t+8iH6EOvzXaJ+Pki0ON9ldVwPL09uXEtm8MJ3eC/kEzqO7ooyGEiKu4aDoyNeL5QDoGZAHVwz+aLvUfmv58GHUTOgDpFHTnPn1p3/XuEcxohmt39PGhkcegwppRyAhsD3+uPGwLNATcAbqK6Uelkp5Qu0AXyA1oBvJsfKA3wOdNA07QVM60xZXnMRo2laNWA+MMIGsWTYZv3h8WHKWDv752mG1u3DmGbD2Px5CIGL702xn9x6NGNfHcHH3abwStdmVKz53L+s/f3ZOzYHBwfKVC7Lryt/ZmzACFJv3Ex3KZpNZXKlV4Y4HqJM64HtSLuTxs7vQgHYumYLsZdjmLYxmLfGv82x8L8x3rH/JMxML2XLkMvMimSMz3jHyM7vtqfbXt67ArdSUjl//Nx/ruu/8TB1f1CZrz5eSe86PdmxfjvNur0KgI+fD2ePnKFnje4MbzaUtyf3scvlOhk8gva56uOV9K3Tk53rt9NUjw9g7897GNKwPx/1ep+Ow998VDW+L1v1LQZHA16Vy/HJW1OZ1mUyrQa3xd3LA7BfvwmZt7WMr7cHvyatVfHzIfLIGQbU6ElQs2F0n9yLvAXycnjnQQ5sC2fiug8Z+OkwToQfs08/Y6M8Pk4yr3+GQg8uY8XgaKBijUrMHRLMxDZB+DatxfMvVvkPNf0XMm2DD1PmXqFS3uW4lZLKleMZLwGv2jzzQSO7eJh2l0WZ8DWhJEbF0m/jFAImdOFc2IkM67K80LwOh76XwSFbybx/tC6TyY6axquB7di65Edu3UhN91TeQvl5oZEvE14ayJhafXHKl5sareo9ukpn4aH6wH9xPsjquAZHByrWqMSqKcuZ0Pwdij1TnJfbmS4fmztoOm+Of4uJG6ZxMzmFtDTbzYS21XnwrhLPlqLTqK58FvRkrKElHh8yz+zxklcpdQAoA4QBW/TtjfV/EfrjApgGiwoCGzRNSwFQSqVfTdCkInBG07S7qxYvx3S52kz98Tr9/zBMA0zpKKV6A70BFi5c+FBBvNK1Kf4dTd88nz50Mt03tK7ubuZvfO+Ki0o/A8PVw40EfSrrtZgEChdzISE6nsLFXLgWY7oMwvIykIPbwun+Xm8KuBTkenyS+fjXYhMJ+/kPynk/y7G96a/J/beyM7a4qFjiLsdy6sAJAPaG/G7TwaGmXQNo2NG0JtCpQydw8ywK/GWONS46Ll352KhY3Nwt/h4eRYi7cq+MX5sGVG9Yg0mdxpq3GdOMfP7eEvPjqeumcflsxmmyttCkawCv6Lk8aZVLN/ciWcR3L5duHm7Ep4vPn+oNfZnUaVyG3/Vi85f4zc6XlDXtGkAjPX8nD52giEX+3NzdiH9A/tw8iqSL766dG7YzZtl4Vs9YRYN2DVk3by0AUZGXiT5/hRLlSnLy4AkbRXXPo26fd+3csJ3Ry8azZsaqdNv/2nuE4qU9KOhSkKT4pEccjX36lvjLsRyKSyI1JZXUlFT+3nuUZyqVIerMZZv2mwCNujZLF5+rp0Xd3d2If4j47rbHRKv4EvX4/No14Pt5plPalcgorp6PxrNcSU4dPMGGOd+yYY7pm/IBswOJskM/Ex8Va1rw1ByDKwlW7fJumfioOAwOBvIWzEdywnWb1+2/aNS1GQ30197pQycytFXrvsU6l9Z9Z2biLsfy154j5tfagW3heFUuy5Fdtp/JcFdiVBzOFu3U2cONa1btNDEqFmdPNxL1/OUpmI8bFvnzbp75JWUelZ7B4ODAxT/tvwYdwDWr2Ap5uJJkFdvdMtf02HIXzEeKHttP7600l+u9diKxZ6LMj9312C5lU2xPg4SoWFws8ufi4WaePXOvTBwunm4kWPUtpb3L4x1Qi1ZBb5K3UH40o8bt1NskxSQSez6a63Gm19zBTXvxql6Rfet/e+T1f6VrU+qnOx9Y9yEPcz64d75zLuZCYnQ8zhbnu7jLsZke1yGXI5FHznD1/BUAwn7eS/lqFdi++ldOhh9nSjvTe9TKL1XF3cvzkcb9KM+D9+Pq7sawRaOYP2wW0eeiHlj+aSR3K8uazBx6vKRomuYNlAacuLfmkAI+0Ncj8tY0rbymaUvI9LvwDB5U5u5XB2lkMlioadoiTdN8NU3z7d0780XirP2yYpN5MeWwzXup16Y+AOV8KnAj6UaGDzkJ0fHcTL5JOZ8KANRrU5+wLaYFGsN/2cdL+v4vWWx3Lnpvre6yVcujDIrr8UnkzpubPPnzAJA7b24qv1yVC8ce3WyN7Iwt8WoCcZdj8ChrOlk9/2IVLlpdL/4obVoRwsiAoYwMGMrezX9Qv43pm5VnfSpmGWtKcgrP+lQEoH4bf/Zt+QMAb79qtOrXmmk9p3Dr5i3zPk55nMyXxlWp503aHSMXbBiTpZ9XhJgXi963eQ9+5vgqcCMp+T7xmXLp18affXrOvP18aNWvDdN6Tk0XH5i++anzal27rze0aUUIwwOGMtwqfxX0/Fm/CYmPjudmcgoVLPK3V8+fRxkPc7kajWpy8ZTpW/CrF2Oo8mJVwHSpj2fZElyx0xuRR9k+3bOIz730ve1elcvimMvRJgNDYJ++JWzLXirWrGRaTyKPE+W8K3Dp5EWb95sAW1b8xOiAYYwOGMb+zX/wkp6v8j4VSLlPvsrr8b3Uxt8qPv8M22MvxlBZn11SqIgzHmU9iT4XhTIYKFDYdKlPqf+V5pn/leHQjgPY2pmDJylWxoMiJYvhkMuRms3rEbFlf7oyEVv28aKeK9+AOvy1O3vu1vhPbFnxE0EBgQQFBOq5rA+YcplV33kzXS7vtcmsHNoewTOVSuOkr39SqdbzNj3fZebCwVMUKeOOS8miOORyoGrzOhzdkv6S4aNbwvBt8zIALwTU4uTuI+bnlFK8EFCLgxszzqDxblGXAxuzadYQcPHgKdwsYnuheR3+tort7y1h+LR5CYDnA2pxWo8tVx4ncunn7XL1KmO8k8bVkxfN+1VpUZdD2Rjb0yDy4CmKlnHHTc9fteZ1OWTVtxzesp9abfwA8AmozXE9fzPbT2RCvUFMqDeI0KUhbJ77HTtW/EzcpRi8fJ4lVx4nACq+WJkrFnl9lH5ZsYmxAcMZm8X5znqgKzGT8114Fuc7y+2ZHff0wZPkdy5AQddCADxX9wVz31LIzXRJmqOTI6/1e52tX/78SON+lOfBrOQrlI+Ry8bw9UdfcHz/k7Hml3i8yMyhx5CmaYlKqcHABqXUfOBn4D2l1Jeapl1XSpUAbgO/AQuVUh9gyuWrwGKrw/0NlFFKldc07STQBdiOnRzYGkZV/2pM3zGPW/qtJO+aGjKdMQHDAVg2ZuG9W1SGhnNwm2lNmo3z1jFo3gj8OjQk9lIMs/uZ7q5TM6AODTs3Ie2Okds3bzF3UDBguvZ46CL9MixHA7s37OTQ9ghswd6xASyf8Bn9Zg3FMZcj0eeupPudthS+dT/V/KszZ8dCUlNSmTfi3torH4fMZGTAUAAWj5mv3yrciYjQcCK2md5s9pzch1xOjoxbORkwLRq8aMx8nIsUZuyKiWiaRlxULLMDgzP+cjsI3xqGj78vn+5YwK2UVOaO+NT83MchMxgZEAjA4jEL9FvZO3HAKj5Hp1yMW2laDux4xHEWj5kPQKVazxN7OZZo/Vuq7BCm52+enr85FvmbHjKT4Xr+Fo6Zr9/K3onw0HDC9fg6j+pGibIlMBo1rl6MZuHoeQB8M3s1g6YPYcbPs1FK8cWHy202eHI//7V9dh7VDc+yJdD0+Bbp8dVuVge/Ng24c/sOt1JvMWPAR3aJx1Z9y6WTFzm0PYIPfp6B0agR+vUvXDh+jqKlitut37wbn7d/dWbsmE9qSioLLV5v74cEMzpgGABLxyw03/78YGg4B/T4vp+3jsHzRuDfoSExl2KY1e9jANbNXkPf6YP58OeZKKVY9eEXJMUnkSt3LsZ/OxWAlKQbzBs6w6a3J77LmGbky/GfMXzFOAwOBnau2cqlE+dpFdiRs4dPcuCX/exY8yu9gwfzYegckhOus2DQDPP+H/82nzwF8uKYyxGfxjWZ3mUyl05eoN2oLtRu+RJOeXMz/fdF7Fj9CxtmrrF5PJmJ0HM5c8cCPZf3XnsfhMwgSO87l45ZoOcyNwdCwzigv/Z8m9Si+6ReFHJ15p1l4zh79Awfdp1E8rVkQj77nqkbP0HTNA5sCydia8a13GzJmGZkw/jPeXtFEAYHA/vWhHLlxAUaB7blwuEzHP0ljH1rQukY3J93QmdwI+E6Xw2615a9av2PxKg44s5HZzh2lVdrs/Qt+/QnmTGmGflh/Od0WzHKdCv7NaFEn7hIw8C2XDx8mr9/CSdsTShtg/sTGBpMSkIyq/XY8hcpRLflo9A0jaSoeL4dNj/dsSu/WpsV2RjbvzFywofsizhEQsI1GrbqTP+eXWjTvEl2VytLxjQja8YvZcCK0SgHA3vWhBJ14gKvBrbj3OHTHP4ljN1rttE1eCATQmeRnHCdZYNm3feYkQdOEvHTH7z744cY7xi5cOQMu1bZ/r42B7eG4e1fjU/0891ii/PdlJDpjNXPd5/r57tceZw4ZHG++2HeOgZanO8+1c93WR1XMxpZNXU5o76aiFKKs4dPsU2PM6BPS7wb+mJQil9X/sxRGw7W/9fzoG+TWnSb9Lbed44l8ugZPuw6mcbdAihexoPXB7Xn9UHtAfiwy6RsuwHF4+pJvIuYvagn6dr2nE4pdV3TtAIWjzcCazRN+0IpNQR4W3/qOtBZ07RTSqmJQCcgErgKhGqatlgp9Tnwg6Zp3yqlGgKfYBpA2gf00zQtVSl1FvDVNC1GX7/oE03T6t+nilrn0nZa4yYbrIxcR06Nb2XkOtqWbpHd1bCZbyO/p13pltldDZv5JnIDrXNw/tZFfp/j22dO7lveKG3/xYLt5avI73irTJvsrobNLDu7lk6lW2V3NWxmVeR63inTKburYTMfnV3F2DJvPLjgE2jK2a+4HXM6u6thM7mKlGVgmQ7ZXQ2bmXN2NV1y6HkP4Iucf+57mKtTnlitS7ew2wDIusjvn6i/pcwceoxYDgzpj5tb/DwLyGzY/xNN0yYqpfIBO4DpevnuFvv+imnRauvfV8bi5/1A/f8UgBBCCCGEEEIIIZ44Mjj05FuklHoOyAMs1zQtPLsrJIQQQgghhBBCPG7kyqmsyeDQE07TtJw5n1gIIYQQQgghhBB2IYNDQgghhBBCCCGEyPGMciv7LMmt7IUQQgghhBBCCCGeYjJzSAghhBBCCCGEEDme3Mo+azJzSAghhBBCCCGEEOIpJjOHhBBCCCGEEEIIkeNpsuZQlmTmkBBCCCGEEEIIIcRTTGYOCSGEEEIIIYQQIseTu5VlTWYOCSGEEEIIIYQQQjzFZOaQEEIIIYQQQgghcjxNk5lDWVHyxxH/gDQWIYQQQgghhMi5VHZXwJaalWpmt8+0P53/6Yn6W8rMIfGPtC3dIrurYDPfRn5Pp9KtsrsaNrEqcj2tc3Du1kV+T7vSLbO7GjbzTeQGXn+meXZXw2a+O7cxx7fPd8p0yu5q2MRHZ1fl2NjAFN9bZdpkdzVsZtnZtQwu0yG7q2Ezs8+uZnHJztldDZvpdWElk0u/md3VsInxkV8yMAe3zTlnV3M75nR2V8NmchUpS5fSrbO7GjbzReQ6Oufg+FZGrsvuKtiUMbsr8BiTNYeEEEIIIYQQQgghnmIyc0gIIYQQQgghhBA5niYrpWRJZg4JIYQQQgghhBBCPMVk5pAQQgghhBBCCCFyPKPMHMqSzBwSQgghhBBCCCGEeIrJ4JAQQgghhBBCCCHEU0wuKxNCCCGEEEIIIUSOp2lyWVlWZOaQEEIIIYQQQgghxFNMZg4JIYQQQgghhBAix5MFqbMmM4eEEEIIIYQQQgghnmIyc0gIIYQQQgghhBA5niYzh7Ikg0PCrnpM7IWPvy+3UlKZM2ImZ/48naFM2crlGDB9CE55chOxbT9LJy4GoOPwN6nRqBZGo5FrsYnMGT6L+Og4837lqpTn/fUfM2Pgx+wJ2W23mCx1m/g23v7VuZWSyvwRszmbSXxelcvRd/pgnPI4cWBbGMsnfgZArYC6tA3siGf5koxrMZLTh0+l28/Nswif/PIp3878mh8XbbBLPJZ6TuxFNX9fUvXcnc4id4P03IVv288SPXed9NxpRiOJsYl8apW78lXK88H6jwke+DG/Z1Pu3prYi2r+1UlNSWXuiFn3aZuD9fjCWKbH12V0d6o3rMGd23e4EhnF3JGzuXEtmaIlizHz1zlcOnURgOMRx1k8Zr5d47qr56TeVNfj+3T4LE7/eSpDmbIvlGPw9KE45XEibFsYSyYsSvd8y96v031sD7pWfZOk+GvUbFSLTiPeRDNqpKWlsXTSZ/y176i9QkrHVu3z+dqV6TH+bRxyOZIUd41xHUbbNa4KflVpOb4rysHA3tXbCJ3/fbrnHZwc6RjcnxKVvbiRcJ0vB84i/kIMPi1fxK/Pa+Zy7v97hlmvjeby0Ui8W9TFv39L0OBadDyrhs7lRnySXeO6yxbxVX2tNg0GvI5yMPD31ghCPvzK3mGZVfbz5o3xPTA4GNix+ldC5n+X7nlHJ0d6BQ+mdOWyXE9IYv7AYGIvXCV/4QIMmD8Sryrl2PVtKCsnfGbeZ9jysTgXc8HBwYHj+47yxbjP0IxGe4cGQCW/qrQe3x2Dg4HfV2/ll/npz02OTo50Dh5AqcplSU5I4vOBs4i7cBXXkkUZ/Usw0acvAXA24gRrxnxGrjxO9JgXSJHSxTGmGfnz1zA2TluVHaFlULJ+FepM6oJyMHBsVSgH525M97x7rYrUmdgF10ql2DpgDmd+3Gd+ruboDpRq4A1AxKz1nN74h13r/jDK+VWhyYQuGBwMRHwdyq756eN7pub/aDKhM8X/9wxrB83hr5C95ufeWP4OJX3Kc27/cb7u8Ym9q56pSn5Vaau3zd2rt7Ilk7bZJXgAz+htc6neNu9y8XRj7JZgQmZ+w6+LfwDAv2cAdTs0QNPg0rFzrBw5nzupt+0a178x9v1gduzai6tLYdavXJDd1bmvLhN7UtW/GqkpqSwaMYfITM7lZSqXpff0QTjlceLgtnC+mLgEgPzOBRg4dzhFShYl5sJVPu3/CTeuJVO31cu82rcVAKk3bvL5mEWc++ssrh5u9JkxGOeiLmhGI9u+2sLmZT/aPD5vi/gy+5xQpnJZ+ujxHcgkvqIli3LVIr5KtZ8ncPEorp6PBmDfpj2sn/0NAL0+HoB3A1+uxSYS1HioTWMTOYNcVvYPKaXclFIH9H9RSqmLFo+dHvIY9ZVSR5RSEUopJ6VUsP74Q6XUAKXUm1ns523xu+KUUmf0n39+tFHaho9/dTy8PBnk14cFQXPpPaVfpuV6Te3HwqC5DPLrg4eXJz71qwGwYeE6hjcdzMiAoYT9uo92QzqY9zEYDHQO6s7BHRF2iSUz3v7VcffyINCvH4uD5tFzSt9My/WY2ofPguYR6NcPdy8PqurxnT9+juA+H/L3H5l/uO4yvicHQsNtVv/7qabnbsADctdnaj/mB81lgFXu1i9cx7CmgxkeMJT9v+6jvVXuugR150A25s7UNj0Y5NeXhUFz6ZVl2+zLwqB5DPLri4eXB956fAd3HmBY40GMaDqES2cu8nr/NuZ9oiKjGBkQyMiAwGwbGKrmXx3PMp70f7kP80fNpc/UzOPrO7U/80fNof/LffAs40m1+tXNz7l5FKHqS95EX4g2bzu06yCBTQYzrNkQ5oyYTf9pg2weS2Zs1T7zFcpP7yl9+eDtKQxtNJBP+k+zW0wAyqB4ffJbLOk+jemNRuDdoi7FypdIV6Zme39SEpP5qH4gO5eEEDDqDQAiNuxiZkAQMwOC+DpwHvEXrnL5aCQGBwMtxndlYacpzGj2Lpf/OseL3RrbNa67bBFfvsIFCAh6k0VvTiG48UgKFHWmfN3nsyM8lMFAl8m9mNF9KmMaDaVWi3p4li+ZrsxL7RuSnHidUfUHsnnJD7Qf1QWA26m3+W76Kla/vyLDcecNmM6EZsMZ23goBV2dqfFqHbvEY00ZFO0m92BB9w94v9Ewqrd4EXer/NVu34Abicm8V38IoUtCaKHnDyAm8gofBbzLRwHvsmbMvcGvrYt/YGrDYXz06ruUrV6RSvW97RZTVpRB8eKUbmzq8hHf+r9DuZa1KfysZ7oy1y/Gsn3YQk6tT/8FR6kG3rhVLsO6JmPY0HwiVfq+Sq4Cee1Z/QdSBkWz97rzVbePmPfKOzzfog5Fnk2fy8RLMWwYvpDDGzJ+gfP7oh9ZH5g957fMKIOi/eQezOv+AVOyaJt12jcgJTGZSfWHsG1JCC0t2iZAm3HdOBJ6wPzYubgLft2b8VHzIN5vMgKDwUD15nXtEs9/1SqgEQuCp2R3NR6oqn81int5MMJvAEuDFvDWlN6Zlus+tQ9Lg+Yzwm8Axb08qFLfB4Dm/V/nyK5DjKw/kCO7DtG8f2sArp6/wtT24xjTdBjrZ39Djw9M78/T0ox8NWU5oxoOZlKrUbzStRmez5bM9Hc+qvjcvTwY7jeAJUEL6J5FfG9N7cOSoPkM9xuAu1V8R3cdYkT9gRy1iA/g2L6/GBMwnDEBw80DQwA7vtnGx93es1lMTyqjptnt35NGBof+IU3TYjVN89Y0zRtYAMy4+1jTtFsAyuR+f9vOwIeapvkAt4G3AW9N00ZpmjZX07Qvs/jdByx+dwgQqD9u8kiDtJEajWoRunYbACcijpGvUH4KF3NJV6ZwMRfyFcjH8fBjAISu3UaNxrUBSLmeYi6XO18eLF9vzbq/xh8/7SYxJtHGUWSteqOa7FwbCsDJiONZxpe3QD5O6PHtXBuKb+NaAFw6eYHL+reo1nwb1yL6XBQXjp+3XQD3UdMid8cjjpG/UH5crGJz0WOzzF2tTHKXxyp3Ad1f4/dszl2NRjXZbm6bx8l/n9zdjW/72m3U1HN3aOcBjGlG8/5uHkXsWPsHq9m4NtvWbgUenL9jenzb1m6lZpPa5ud7THibFe8vwzJ5N2/cNP+cJ1/udM/Zk63a58stX2bPpt+JuRQDQGKsfdtoKe/yxERGEXc+mrTbaRzc+DvPN/ZNV+a5xtXZv3YHAIdD/qB83coZjuPdoi4Hvtc/0CkFSuGULzcAeQrm5dqVeNsGkgVbxOf6TDFizlwmOc40E+rkb4ep3KyWjSPJXFnv8kRHRnH1/BXSbt9h78bf8GlcI12Zao1rsks/b+wP+Z1KdV8A4FZKKif2/83tTGYl3NTbq4OjA465HLPtdVfauzxXI68Qq+cvfONuXrCK74XGvuxdux2AAyF7qJBJ/izdvnmLE78fASDtdhrnj5yhsLurbQL4B4p6l+Pa2SsknbuK8XYapzbsoXTj6unKXL8QQ9xf59GM6fPhUqEEUXv+Rkszcicllbi/zlGqfhV7Vv+BSniXI/7sFRLOm+I7snEPFRuljy/xQgzRf2eMD+DMriOkJt/MsD27lPEuT4xV26xi1TarNPblD71tRoTsoaJF26zS2JeYc1eIOpH+PZeDg4FceZwwOBhwyutEYjb1nf+Ur/cLOBcqmN3VeKBqjWrym94fntLfRztbncudi7mQt0BeToYfB+C3taFU19+LVbN4H75zbSjVG9cE4ETYMW5cSwbgZPhxXDzcAEiMjjfPTLqZfJNLJy/gWtzNZvFVt4ov6/ea6eO7+zmhulV8vnp893Ns71GuJ2TPzGDxZJLBoUdEKVVeKfWnUmoBEA54KKUWKaX267OCxuvl+gKtgclKqRXAj0B+YJ9Sqq1SaopSaqhetoJSaqtS6qBSKlwpVeY+v/8bpVQTi8drlVKNlVJ99Z83K6WOK6WCLMr0UErt1Y8/RymlbPCnMXNzdyP20r0pu2bRRxQAACAASURBVHFRsbhZdcJuxd2IjYq5V+ZyDG7u98p0GtmZBb8v4aVWfqwONo2huRZ3pWaT2mxeucmW1X8gV3dXYi9Z1D0qFtfi6d/UuhZ3JS4q1vw49nIsrg9445s7b26a93udtTNXP9oK/wOu7m7EWOQuNio2wwnU1Sp3sZdjcLXI3RsjO7Po9yW83MqPry1yV+uxyJ1butzFRsVkEZ917jK+ifBv35CI0DDz42KlivNRyAwmrZ7K/2o8Z4PaP5ibuxuxly3jy1h3V3er/EXde+3VaFSTuKhYzv51NsOxazWpzadb5zPm8wnMGTnLNgE8gK3ap6dXCQo4F2Dy11P5+Idg6rf2t3Ek6TkXdyHx0r02l3g5lkLFrd4oF3c1lzGmGbmZdIN8Luk/BFR9rY558MR4J43vxi5h2KZpjN07j2LlS7B39TYbR5I5W8QXe/YKRct54lKyCAYHA8839qWwR/YMLrgUdyXO8pxwOQ4Xq3ZZ2KKMMc1IStINCrg8+EPc8BXjmBW2lJvJKewL2fNoK/6QChd3JcEifwmXY3HOJH8JVvnLr8fnVqoo7/z4IYNXT6Bsjf9lOH7eQvmo3LA6x3f9acMoHk5+DxeuX753KXRyVBz5PVzus8c9sUcjKelfFYc8TuR2KYBHnefI75n9A16WCrq7knj5Xi6vXY6joPvDxfc4ci7uSrxF24zPom3GW7TNFL1tOuXNTaO+LQmZ9W268olX4vl18Q+8t3seU/cuJCUphb93HrJ9ME8RF3erPvMh3kfHXY7FRX8fXahIYRKjTQN2idHxFCrinOF31O/4CodCM85UL1KyKKWf9+LkgeOPJJbMuGTyOcHFKj6XB8SXoMeXYBVf+WoVmfpTMCOXj6XEs6VsFkNOodnx35NGBocereeAJZqm+WiadhEYpWmaL1AVaKSUek7TtAXcm/XTFWgBJOkzgL61Ot4qTDOTqgJ1gWiy9hnwFoBSqgjgDfyiP1cDaA9UA7orpV5QSlUFXgPq6sfPB7T7r3+A+8pk6Emz/sbzAWVWfbySvnV6snP9dpp2exWAtyb0YuWHyzFm05oLd2U2tpbhC92HKWOl7bBO/PTZRlJvZN+3cpkNG1rn7kFlvvp4Jb3r9GTH+u0003PXY0IvvnhMc2edmIf5G7Qe2A7jHSM7vzN9GxkfHUe/Om/zTkAgy99bypDZw8n7mFxOkCF/mbz4NE3DKU9u2g5sz6rpmU5o5I+f9zCoQT8+fHsqnUZ0tkldH8RW7dPg6EC5yuWZ+tZkJneZQNvBHfDw8sx4IFvJtNIPU+ZeoVLe5biVksqV4xcAU0y1Ozdi5qtBTKnZn8t/n8O/f6tHWOl/wAbxpVxL5ruxS3lzzhD6fTOB+Asx5ll9dpdpf2/dLh9cJjPTu77H0Jpv4+iUi0oPmI1jMw9xPsvqdXctOp4JdQfw0auj+O69FXSbNYg8Fn2jwcFAt9mD2fH5JmLP3++tj708RFvNwsUdf3J+6wFabphAg7kDiA4/kX1t8p94Ai+HuCvzc7p1mUx21DReDWzH1iU/cutGarqn8hbKzwuNfJnw0kDG1OqLU77c1GhV79FVWjxcf/gQ79eyUqlOZV7u0JDVH6S/XDd3vjwMXvAOX05eap6ZaQsPE9+/OSec/fM0Q+v2YUyzYWz+PITAxe/+t4qKp5osSP1ondI0bZ/F405KqZ6Y/s6emAaPHmq1VqWUC1BE07SNAJqmPWhkYAswSylVGNNla6s0TTPqncwmTdMS9ONuAF4ECgA1gf16mbzAiUzq0RvoDbBw4cKHqXo6TbsG0LCjaT2LU4dO4OZZFPgLMH3bH2exKDGYvvF3c793SY6rRxHirqQvA7Bzw3ZGLxvPmhmrKFulPIGfjgCgoGshqvlXJ+1OGvs2237Bx0Zdm9FAj+/0oRO4eVrU3d0t3aLLoH8LYjFbwc3DjfhM4rNU3rsCtZrV5Y2gbuQrlB9NM3I79Tabl4c8wkgyato1gEZ6bCcPnaCIRe7cMonNOnduHkUyjW3nhu2MWTae1TNWUa5KeYZZ5K66nru9dshdk64BvNKxEQAnD51Mlzs39yJZtM2sc+fXxp/qDX2Z1GmcedudW3e4fss0nff0n6e4EnkZD68SnD580iYxWWrWNYBGnUyTCU8eOpHuUjc394ztzjRTyOpvcCUO99LuFC9VnBmbZpu2exRheshM3mkxjISrCebyR/cewf0ZDwq6FCIp/potQwPs0z5jL8eQFHeN1JRUUlNSObr3CGUqeXH5TOaXfz5qiVFxOHvea3POHm5ci463KhOLs6cbiVFxGBwM5CmYjxsJ183Peze3uKQM8HyuNABx50wfuA/9uAf/fi1sGUaWbBEfwF+/hvPXr6b12Wp1apBtH8Tjo2JxtTwneLiSYNUu75aJ1+PLWzAfyRbx3c+d1Nsc+GUf1RrV5Ohv9p/BkBAVS2GL/BXOJH8JUXEU9nQjIZP83bll+v/8n2eIOXeFol4enD9susSj4we9uXomitCltj3PPazky3EUsJiBlt/dleSoh7+k6MCn33PgU9Ni6/5z+nPtTNQjr+N/kRQVh7PHvVwW8nAl6UrCffZ4vCVExeJi0TZdPNzMM0rulYnDxaJt3n3tlfYuj3dALVoFvUneQvnRjBq3U2+TFJNI7PloruuXrB7ctBev6hXZt/43u8aW07zStSn19fdipw+dTN9nursRb5U36/fRrh5uxOuX912LScC5mAuJ0fE4F3PhmsVyBaX+V5qe0/rzSbf3uG7Rxzo4OjB4wUh2r9/B/k2P/r3nK12b4m8Rn/XnhISHiC/BIr7CxVxIiI6nsEV8lpfGH9wWTvf3elPApSDXs+lGE08C4xM5p8c+ZObQo5V89wel1LPAEKCBpmlVgE1Ann94vIduuZqmGTHNNOoEdAeW3ec4GqavwRZbrJdUUdO0DzI57iJN03w1TfPt3TvzhdPuZ9OKEEYGDGVkwFD2bv6D+m1Ml2U861ORG0k3MnSKCdHxpCSn8KxPRQDqt/Fn3xZTZ+1exsNcrkajmlw8ZfqmeEC9XvTX/+0J2c3icQvsMjAEsGXFTwQFBBIUEMj+zX/wUpv6AJT3qcCNpORM47uZnEJ5nwoAvNSmPmFb9lofNp1J7UYzuF5vBtfrzU9LN7J+7rc2HxgCU+6GBwxluFXuKui5sz5hx+uxVbDI3V49dx5Z5K5fvV701f/9HrKbReMW2GVgCODnFSHmhaL3bd6Dn7ltZp07U9s05c6vjT/79Nx5+/nQql8bpvWcyq2bt8z7FHIthMFg6maLlSqOh5cn0efs86HgpxUhDGs2hGHNhvDHz3vwb9MAuH/+Uizy59+mAXs37+HcsUi6V/s/e/cdX9P5B3D889wMe2QgiRmzagWxtWJXKq1So7/WKqVGEEHtVVSrqF27RgdKhzatrWq1JFZRO3bIJkFIcn5/3OO6iRtSde8l/b698pJ7znPOfb55nvOcc5/7nOd0pGe97vSs153oq1EE+w8gLjIOj+IPyrVkxVI4OjvapGMIbFM//9z0B+VrvmicXyK7M2V9ynL5tO3m/bp06AzuJTxwKVIABycHqgTU4dim0DRpjm0KxbfNywBU8q/F6d1HTeuUUlTyr8Wh9XtMy25ExFKoTGFyuRpv7SlTvxLXT9umsys9a8QHkMstL2D8pr9Ox6b8uWqrlSOx7Nyh0xQs4Yl7kYI4ODlSM6A+BzbtT5PmwKZ91NPPG77+dTi++9G3UGXLmZ18BfIDxtE1lRtW46r+NERbu3DoDAVKeOCql1+1gLocSRffX5v2U7NNAwB8/GtzSi+/3K55UAbjN+RuRQtSoIQn0ReuAfBqcHuy58nJuvHLbBjNo0UeOktebw/yFC2AwcmBUq/X5sKmzD0gQhkU2fLnBsC1fFFcXyjKpd+OWDO7/9jlQ2dx9fYgvx5fhYDanEx3LD5Pzut1082sbh5OVzePbNpPLb1uVvWvzUm9bn7Wbixj6gcypn4g25eEsHHOd+xYvoGYK1F4Vy2DU3bjs2fK1avItdP2Ofayks3Lf2WkfzAj/YMJ3fgn9fX2sFTVsty6eeuhTr3467HcSbxDKf1arH4bP8L0a7GwzftM1+EvmS1383Kn//whzA+aQcS5q2n21/2TPlw5fZlfF6V9Ot/TjO/+RNGW4rP8OSFtfKEZxHd/+f1zAkDJKqVRBiUdQ+KJycgh68kL3ARuKKU8geYYO4gyRdO0WKVUlFIqQNO09Uqp7IBB07Rbj9hsCbAbOKtpmvlzql9RSuUDkoEAjLePOQJfK6Vma5oWrd+KlkPTNKt98gnbup9qDasze8d8km4nMXfQTNO6KSGfMdjf+IjFhSPm6Y+yd+bA9jAObDNeoLwztDNeJQujpWpEXr7OguFzrZXVJ3Jgayg+Davz2Y7PSbqdxHyz+D4Kmc4w/yAAloz4XH+UfTYObg/loB6fb/NadBn3Hnld8zFk6SjCj51jcqdxdoklvVC97ObqZTfbLLapIZ8RrJfd/BHz9EeFOxO2PYwws7IrXLIwqXrZzX/Gyi5sayhVG/oya8fn3L2dxJxBs0zrpoRMZ7BedgtHfK4/yt6Zg2Z1s9v4njg6OzFqpbG87j+yvnytCrQf+D9SklNITU1lwfB5JMRnblTA0xS6dT/VG/oy7/cFxkfZD3owN9C0X2YwsEV/AOaPmGt6lH3YtlBT+WWkjn9d/No0IuVeMnfv3GVqn0+sGkdGrFU/L5++xIHfwpi+YSZaqsbmbzZx4eQFm8WVmpLKD6O/oPvyYRgcDOxbvZ1rpy7RLOhNLh05x7HNoexbvZ0O03ozZPt0bsUl8FXgg7rrXesF4iNiiDG7LefG9Vg2z1jH+6vHkHovhdjLkaweZJ9HG1sjPoDXx3TGs3wxADbPXEeUnUZppKak8uXoRQQvH4XBwcDvq7dy5dRFWgV1IPzIaQ5u3s+O1VvoMa0fk7fPJjEugc8Dp5u2n7JzHtlz58DRyZGqzWoyteN4EuJu0n/RMBydnTA4GDi++wjbvrTPA0tTU1L5dvQSei8fjsHBwN7V24k4dQn/oLZcOHKWvzaHsmf1NjpO68uo7TO4FZfAF4HGtqdUzfL4D2xHakoqqSmprB6xkFvxieT3cKV5YGsiTl9m8M+TAfh92Qb22KmD7z4tJZXdo5bR4sshKIOBE6t+I/bkZaoPakPkoXNc2BSGe5WSNF00gGz5clKsaVWqD2zDt42HYnByJGCdcUTp3YTbbOs3D+0Zu61MS0nll9Ff8PbyD1AOBg6u/o3IU5fxG9iGK4fPcXJzGF6VS9JuQRDZ8+WkbJOqNAhqw+dNjbevdFkzCrdSXjjnys6AvbNYP2QBZ3bYrwMsNSWV1aOX0Gf5cJRZ3XxVr5tHNoeye/U2Ok3ry5jtM0iMS2Bp4KPnzDt/8DQHfvmDD36eTGpyKpeOnmPX15sfuc2zYvCYyew7cJi4uBs0bvUOvbt1pE3As/csm0NbQ/FpWI1Pd8zl7u0kFg6abVo3IWQqI/2DAfhixHx6TA3EKbszh7eHcWibsaP2p7nr6Dt3EA3aNyb6ShSzen0KQKv+7cjtkofOHxq/5E5JSWFMwBDK+r5A/TZ+XDgezoSQqQCsmfKlaX9P28GtoVRpWI2penwLzOKbGDKVEXp8S/X4nLM7c8gsvvVz1xFoFt9MPb6a/nVo/E5zUpJTuXfnLnMCp5n222dmEOXrVCS3Sx5m7l3I2unf8NuqLVaJ73kiI4cypjJzb7uwTCk1FkjQNO1TpVRp4Fv9SWLokzsvB6oDZzF2zHyradpKpdRK/ffvlVKOQJSmafn17Sborz9TSpUD5gOuwF2gjaZp5/V0pn2ky9N24AtN077QX78PvKTvoxSw9P4IIaVUR2AQxlFEd4EemqY9qkXU3ixun9sPbOHb8z/yVnE7zb1hZV+f/57WWbjs1p3/kbbFX7d3NqxmzfkfeKNYgL2zYTXfXVif5evnkBJv2TsbVvFJ+NdZNjYwxte1RBt7Z8NqloavpV+J9vbOhtXMDF/FwiL2mQvNFt67tJLxxd+2dzasYvT5L+mbhevm7PBV3Is6a+9sWI2Te0k6Fm/9+ITPqRXn1/FOFo5v5fl1Vn1Ikb3VKdzQZh0gey5ve67+ljJy6F/QNG2s2e+nMU4Cff+1BnTMYLt3zH5PBvKbvR5p9vsJwO9x+7hPKZUHKAasSbfqqqZpD109aJq2Alhhaf9CCCGEEEIIIURWIoNjMiZzDmURSil/4CgwRdO0xMelF0IIIYQQQgghhAAZOZRlaJoWgnHUUPrl9plMQgghhBBCCCGEEM8F6RwSQgghhBBCCCFElicTUmdMbisTQgghhBBCCCGE+A+TkUNCCCGEEEIIIYTI8jQZOZQhGTkkhBBCCCGEEEII8R8mI4eEEEIIIYQQQgiR5cmj7DMmI4eEEEIIIYQQQggh/sNk5JAQQgghhBBCCCGyPHlaWcZk5JAQQgghhBBCCCHEf5iMHBJCCCGEEEIIIUSWJ3MOZUzJH0f8A1JZhBBCCCGEECLrUvbOgDVV9ahns8+0ByJ2PVd/Sxk5JP6R90q0tXcWrGZh+BreLfGmvbNhFUvCv6VXiXb2zobVzAtfLXXzObYk/Fs6l2hj72xYzbLwtbxerKW9s2EVP1z4Cf9i/vbOhtWEXAihaxaum0vD1/JW8Vb2zobVfH3+ezoWb23vbFjNivPreKNYgL2zYRXfXVif5csuq8d3L+qsvbNhNU7uJemZha8754evsXcWrErmHMqYzDkkhBBCCCGEEEII8R8mI4eEEEIIIYQQQgiR5WkycihDMnJICCGEEEIIIYQQ4j9MRg4JIYQQQgghhBAiy0uVB3JlSEYOCSGEEEIIIYQQQvyHSeeQEEIIIYQQQgghxH+Y3FYmhBBCCCGEEEKILE8mpM6YjBwSQgghhBBCCCGE+A+TkUNCCCGEEEIIIYTI8mRC6ozJyCEhhBBCCCGEEEKI/zAZOSSEEEIIIYQQQogsT+Ycyph0DgmbqdDAhw6ju2JwMPD7qi38Ou/7NOsdnR15d1ogxSuWJCHuJgv6Tif6UiTl61emzQdv4+DkSMq9ZL6dtIK/9/wFgIOTI/8b141ytV8kVdP4fsrXhP36h81jq9jAh/+N7orSYwuxEFt3PbbEuATm9Z1G9KVIcuXPTe95g/CuXIpd327nyzGLTdsM+WYc+Qvk527SXQCmdvyQm9E3bBrXfS82qEI7Pb5dq7awcd4PadY7OjvSeVpfilUsSWLcTRb1/YyYS5EUr1KKtz/qCYBS8NNnazi0YR8AOfLm5J3J7+NVriiaprFiyDzOhZ2yeWxgnbp5X5+FH1CgWEHGNg+2ZUhpWKN+Ojg58s64bpSrXQFN01g35StCbXjsVWrgw9uj38XgYOC3VVv4ed53D8XUY1o/SuhlNrfvNKIuRQLQsvcbvNyuMakpqawct4S/dhzEo6QXvWcPNG1fsGgh1k3/ho1Lfqb1wA5Ua1qTVC2Vm1HxLBw0m7jrsTaLFeC9cT2o3tCXpNtJzAj+jLN/nXkoTalKpeg3NYhs2Z0J3bafhWMWpFnfqscbdB3ZjXeq/I+bsTd4o2drXm7lB4CDowNFShehk8/bJMQn2CIkk57jelKjYQ2SbicxLXgaZyzEVrpSaQZOHYhzdmf2bdvH/DHzTesCugQQ0DmAlJQU9m3dx5JJSyhbpSyBkwMBUErx5fQv2bNhj81ius947Bnr6Y5VWwixUE/fm9bP1LaYH3t95g02HXsrxywCwDm7M73nDqJgcQ9SU1I5uGU/33680uZxmes8tjs+Datz93YS8wbNJPyvsw+l8a5Yiven9sM5uzMHt4WybKwxnlr+dXkzqANepYsw6rXBnD1iLPt6rV6mZY83TNsXK1+c4a8Gc/7Yuaee/0oNqtJxjLGMtn+zmZ8slFHPaf3xrlSShNibzO471dSWBPRuTYP2xrZkxdjFHNlx8JH77DVjAN6VSpGSnMKZQ6dYOuxzUpJTyJEnJ70+64+bVwEMjgZCFvzI72u2PvVYH6fbuB5Ub1idpNtJzAqeYbGdKVmpFP2mDsA5uzOh20JZnK6deb3HG3QZ+S6dqrzNzVjbXLN0HNuNKg2rkXQ7iQWDZnPeQh0sUbEkPaYG4pzdmUPbwlgx1ng+y5UvN33nBONepABRlyKZ1ftTbt1IfOR+3bzc6fZxb1y93EHT+LTLBKIuRfJi3Yq8NaILjk6OnDtyhkVD5pCakvrMx1q31cu8+n4rAJJu3eGLEQu4cDwcV083ek7vR74CLmipqWz7ahMbl/78VOP5t0ZOmsaOXX/i6pKf71d+bu/sZFqFBj600687d67awgYL12VdpwWarqsXml13vvHB2zg6OZJ8L5m1k1ZwQr/u9G1ZlxZ9WmNwMHBkaxjrJtv33CCeT3JbmZUopaYrpQaYvd6glFpk9nqqUmqg5a0fud+nftWulCqhlPrr8Sn/xXsYDPxvfDdmdJnI6KZB1HytHp6li6RJU79dI27FJzDCL5DNi3+izdB3AEiIvcGsbpMZ90owS4Jn8+70QNM2r/Ztzc3oeEY26s+YJkGc/OOYNcOwSBkMvDO+O9O7TGRk0yBqvVYfr3SxvdSuMYnxiQzzC2Tj4p9oq8d2L+ke30/9htWTVljc94IBMxnrP5ix/oPt1jGkDIoO47sxu8skxjcNosZr9fAoXThNmrrtGnErPpExfv3Yuvhn3hj6NgBXTlxkcsBQJvkPYVanSbw9sQcGB2Oz025MV479dpBxjYOY2GIwEacv2zw2sF7dBKjavCZJt+7YLBZLrFU/W/ZtzY3oeIY36sfIJgM4YcNjTxkMdBr/HlO7TGRY0wHUthDTy+0akxifwBC/vmxY/BPthnYEwKt0EWoF1Gd4swF82nkCnT98D2UwEHH2CqP9BzHafxBjWg4h6U4SoRv+BCBkwQ+MbDGQ0f6DOLg1lNf7t7VZrADVG/riWcKL91/uwZyhs+k1sbfFdO9P7MPcobN5/+UeeJbwoppfddM6d093fF6qyvVL103Lvpu/jqAW/Qhq0Y8VHy/j6N6/bN4x5NvQl8IlCtP95e7MHDqTvhP7WkzXZ2IfZg6dSfeXu1O4RGF8/XwBqFynMrWb1aZ38970atKLtfPXAnD+xHn6t+xPYItARnUaReBHgaa2x1aUwUDH8e8xvctERjQd8IhjL4Ghfn3ZaFZP7yXd47upX7Nq0vKH9vvrwh8Z3rgfY14dRJnq5ajkV9Um8Vji07A6Ht6eBDXoxcJhc+k24X2L6d6d2JNFw+YS1KAXHt6eVPGrBsDFkxeY1nMyf6drP3Z9v4Nh/kEM8w9ibtBnRF66bpWOIWUw0PnD95jSeQIfNOlPnddewqtM2jJq0L4JifEJDGrQh18Xr6f90E4AeJUpQu2A+gxt2p8pnT+k84QeKIPhkfvc/f0OhjQKZFizAThnc8avQxMAmnRqweVTlxjRYiCT2o/mfyM74+Bk2+9vqzWsjlcJL3q/3JN5Q+fQc2Ivi+nen9ibeUNn0/vlnnila2fcPN2p8pJPmnbG2qo0rEYhb08GNejDkmGf03VCD4vpukzsyZJh8xjUoA+FvD2prB83Ab3f4Oiuwwz268vRXYcJ6N36sfvtOa0fIfN/YGjjfox57QNuRMWjlKLH1H7M6TuVYc0GEHU5kpfebPhcxBp58RoT241ixCsD+X7mGt79yHgcp6Sk8tWEZQxt3I9xrYbSpFOLh44Pe2vl35TPp02wdzb+EWUw8Nb4bszqMpGx+nV1+uvOeu0akRifwCj9urO12XXnnG6TGf9KMF8Ez6arft2ZK39u2gzryPS3xzOu2UDyFsjHC3Ur2jy250Wqptns53kjnUPWsxuoC6CUMgDuQAWz9XWBXXbIl114+5Qm8nwEURevk3IvmX3rd+HTzDdNGp9mNdi99jcAQkP2mhq1i0fDide/pb9y8iJO2ZxwdDZeNNVr25CQucZv5DRNIyH2pq1CMinpU5rr5yOI1GP7Y/0ufJrVSJOmarMa7F67HYD9IXsoX7cSAHdvJ3Fq/9/c00cHPYtKpCm7FPav302VdPFVaebLXj2+MLOyu3fnrulbM6dsTmh6I5k9dw5K1yzPrlXGb0ZT7qVw+8YtG0WUlrXqZrac2WnaPYCfZ621YTQPs1b9fKltI36207FX0qc0185HEHnxmh7TTqqli6las5rs1GPaF7KHF/WYqjWrwR/rd5J8N5moS9e5dj6Ckj6l02xboV4lIs9fI/qycXTAnYTbpnXZcmbD1qORazarxba1xmPl5IET5MqbC5eCLmnSuBR0IWfuHJwI+xuAbWu3Uqt5bdP6bmPe44tJS03HYHovvfYyO37cYaUIMla7WW22rN0CwIlHxpaTv/XYtqzdQm09tlc7vsqauWtIvpsMQHx0PABJd5JMbY9zNucM47amB8eesZ7+uX4nVS3U012PPPbupUl/985d0+jElHvJnD96DhcPN+sHk4HqTWvyu57/0wdOkjNvLvKnK7/8BV3IkTsnp8JOAPD72u34NqsFwJXTl7h69soj36Puay+x+8ffn37mgVI+pbkWftVURnvX76R605pp0lRrWoOda7cB8GfIHirUM5ZR9aY12au3JZEXr3Mt/CqlfEo/cp+HtoWZ9nv20ClcPPWy0zSy584BQPZc2UmMSyA1OcUqMWekZrPamWpncuTOyQm9LLet3UpNs3bm3THdWT5pKdjweKvW9EFbf0avg/nS5TtfQRdy5M7B6bCTAOxcu53qeh2sZlaHf1+7nerNaj5yv15limBwdOCvnYcA40ibu3fuktslD8l37xFx7ioAf/1+iBotavM0WSvWU6EnTKOlToedNNXL+OuxppFJdxLvcOX0JVwL2a+9scTXpxL58uaxdzb+EW/93HD/unP/+l1USXfdWaVZDfbq151hmbjudC9WiGvnrpAQY/wi+fjOn/aQuQAAIABJREFUI1R9yvVP/DdI55D17ELvHMLYKfQXcFMp5aKUygaUBw4opQYrpfYppQ4rpcbd31gp9Y5S6k+l1EGl1HyllIP5zpVS7kqpPUqpV/XXD+1HHxF0XCm1UCl1VCm1USmVQ19XXSl1SCm1B+hj7T9G/kKuxFyJNr2OvRpD/nQnmPyFXIm9EgVAakoqt2/eIrdL2ga/WovaXDh6juS7yeTImxOAVsEdGPnTx/ScM5A87vmsHMnDjLFFmV7HXo3GpZBrhmkyis2Sd6f0ZmzIFAIC33y6mf4HjOViXnbR5LcQ3/009+PLpcdXwqc0ozZOZeSGqXw1ciGpKam4FytIQvQNOn3am+E/f8w7k3vinCOb7YJKl/enXTcBXg9uz6ZF67l7J8nKETyaNern/WPvjeAOjPnpE3rNCSavDY89l3QxxVyNwSVdmblkEJNLIbc05R1j4e9RK6Aee3/cmWZZm0H/Y9ru+dR5/WXWTfvmaYf0SG4ebkRdfRBvVEQ0buk6BNw83IiOeBBXtFmamk1rEh0RTfhxyyMvnLNno5pfdfaE2P77CncPdyKvRppeR0VE4e7h/lCaqIgoi2m8vL2oULMC03+YzserP6ZM5TKmdOV8yjFv8zzmbpzL7OGzn/rtHY+TmXr6pOcGMB6HVRr7cnzXkaeX6X/I1cOVaPMYI6JxTXc8uRZyJca8bl6NxtUjbZpHqRNQn90/WKdzyMXDjZir6dqDdHlz9XAj2uz8dut+W+LhSrTZcRkbEY2Lh1um9ung6EC91n4c3n4AgE3LQvAqXZhZ+xYzacN0VoxbYvMOTTcPtzTxREdE45qunXH1cCM6wjxNlKmdqdG0JjER0YQfD7dJfu9z8Uh3nGWiDpqXSV73/KYP2/HXY03nsoz26+ntxa0bifSbP4QPQz6lw/BOKIOBmzE3cHB0xLtSKQBq+tfB1TNtW/asxmrOr0MTU700516kAMUreHP64MmnEst/2cPX1ZavO9OfG3JZuO68qF93RoZH4FGqMG5FCmBwMODTrAauns9WR96zRLPhv+eNdA5ZiaZpV4BkpVQxjJ1Ee4A/gDqAL3AY8APKADUBH6C6UuplpVR5oD1QT9M0HyAFePv+vpVShYCfgdGapv2slGpmaT968jLAHE3TKgBxQBt9+VKgn6Zpdaz0J0hDKQsL0134KAuJzC+OvMoUoc3Qt1k53Hh/u4ODA65e7pze/zcTWn7A2bCTtB3e6anmOzMel+/MpklvQf8ZjH4lmMltR1GmRnnqtm7w7zL6hDKVd0sFrKcJP3iaD5sF8/Frw3il1xs4ZnPC4OBA0Yre7Fi5kUmvfkDS7SSa92pljew/ljXqZtEXS1CwuAcH9NuS7Mka9dP82BvXcghnwk7QzobH3r+KyWJ5P/jVwcmRqk1q8GfI7jRJ1n76FQPr9mTPDzto0rnFE+X7SSkLmX64fCylMXb8tO3bnq+mZjz3QM2mNTm+/7jNbynLSGY+FN9P4+DoQO58uQl6PYjFExczbO4wU5oTB0/Qq0kvBgQMoF2fdjhlc7Jani2y0rkBwOBg4P2ZQWz+4mciL1578jz+S5bz/1Cix6fJQCmfMiTdTuLSyQtPkLvHy0Tzn2GijMouM/vsPKEHf/9xjJP7jgPGOYouHA0nsEY3RrQIpvP47qaRRPb0UH3NoC1yzp6NN/u24+upX9oqaw/y9C+vUf7pfg2ODpSrUZ6vJyxjTMAQChYrxMttjbePzQmcytujuzL2h4+5k3iblJSnO/rLWrHeV75ORV5u35hVH6W9nTVbzuz0+3wIX45fkmYkrXhCT3jdaZ7Gs0wRWptdd966kchXIxfy3uwgBq/5kOhLkaTY+AsRkTXIhNTWdX/0UF1gGlBY/z0e421nzfSf+130uTF25lQGqgP79MYhB3D/Bm4nYAvQR9O03/RlGe3nAnBO07SD+vJQoIRSKh+Q32z7FYDFTztKqR5AD4D58+dbSpIpsRExuHo96MF28XQl7npMujTRuHi5ExsRg8HBQI48OUmMM35YcfFwpff8wSwZOJvIC8YL4YTYmyTdumP6AL4/ZA/12zd64jw+qdiIaOOkhDoXT7eHJqu9n8ZSbBmJu2b8+9xJvMMfP/6Od5XS7F732yO3sQZjuZiXnZvpm6f74vQ0cY+IL+LMZZJu38GrbFHiIqKJi4gm/OBpAA6E7KWZnTqHrFE3S1YrS/FKJflo5xwcHBzI45aPQd+M5dMOY20Wl3nen3b9vH/shenH3r6QPbzUvrF1ArAgJl1MrhbKLCaDmIyxuplt60as2baV/apy/q+z3IiKt/jee37YycAlw/lu+qqnHFVa/p1epelbzQE4ffgU7mbfQLt7uBFzLW285t/gg3EUQMy1aDyLe1CwaCE++3WWcVtPd6aHfMag1wYSFxkHwEsBL/P7D7ZrW1p2aklzPbZTh09RwLOAaZ27hzvR16LTpE8/msg8TdTVKHb/YuzIO3noJJqmkdc1LzdiHszRdvH0Re7cukOJciU4ddh2k96nP/Ys1dMnOTcAdPnofa6du8qmJbafHLZppxY06tAMgLOHT+FmHqNH2uMJ9GPRvG56uhGbrv5mpG6A9W4pAz1vnmnbg7h0eYu5Go2blxuxEdEYHAzkzJOThLgE43Kz49LF48G2j9rnG/3bkdc1LzOGfWJa9nLbRqyfuw7AdBuwV6nCnD10+ukGnE6LTv5p2hnzeNw8Hi4nYztjnsadmGsxeBT3oFDRQkz/daZxuac7U0M+Y4hZO/M0Nen0Cn4dmgJw9vDptMeZhxux6c5x6eugq6cbsdeMaW5ExZGvoAvx12PJV9DF1PbHXI22uF8HJ0fOHz1n6pQN3fAnpauV5bdVWzgddpIJbUcCUPGlKnh4ez0XsQIUfaE43T7uzaedPyTBrA1ycHSg3+eD2f39Dvbb4YEvWVFcREy66+qMzw2Wrqvze7jSa/5glg6cTdSFB18OHN4SyuEtoQC89FYTm4+WfZ48j3MB2YqMHLKu+/MOVcJ4W9lejCOH7s83pICPNE3z0X9Ka5q2WF++zGx5OU3Txur7TMbYydPc7H0y2g+A+T0tKRg7BBWZnDVD07QFmqb5aprm26OH5YnvMiP80GkKlvDEvUhBHJwcqRFQj0Ob9qdJc3DTfuq2MY6Oqe5fmxO7jfMq5Mibk8Clw1j3yVecCT2RZptDW0IpV9s4lVP5epW4curSE+fxSZ07dJpCZrHVCqjHwU370qQxxuYHgK9/Hf7e/ej5vw0OBtOtBQ6ODlRpVJ3LJy9aJf+Pc/7QGQqW8MStSAEcnBzwDajL4XRld3hTKLX1+Kr51+bE7qMApuGtAK6F3SlU0ovoS5HciIwn9ko0hUp6AlCuXiUi7FB2YJ26+dvKjQyu1ZNh9fvwcdtRXDt3xS4dQ2Cd+glw0OzYe9HGx97DMdXnQLoyO7BpH/X1mGr41+G4HtOBTfupFVDfeI9+kYIUKuHJ2YMPPoDVfq0+e9envaWsUAlP0+9Vm/hy9Yz1J08PWf6zabLovRv20LCNseO7bNVyJN689dAHgtjrsdxOvE3ZquUAaNimEX9u/IPzJ87Tudo79KjXjR71uhF1NYog/wGmD2w58+SkQu2K/LFxr9Vjuu+n5T8R2CKQwBaB7Nmwh8ZtjB2L5aqWI/FmYoaxldNja9ymMXv1/O7duJcqdasAUNi7MI5OjtyIuUGhooVMbU/BwgUpUqoI12w8wuZcuralZgb1tJ7ZsXc8E8de6+C3yJEnF1+PX2qNbD/WpuW/mCaL3r/xD17S81+6allu3Ux8qPM57nosdxJvU7pqWQBeauNH6KbHj6pUSlHr1brssWLn0NlDp/Hw9qRAUWMZ1Q6oT1i69vHA5n3Ub2McGVLTvw7Hdhtv4wvbtI/aeltSoGhBPLw9OXPw9CP32aBDEyo18GFO4PQ0Iz6iL0dSoV5lAPK658OjpBfXL1i/vv6yPISBLfozsEV//tiwN007cyvT7cxeLpw4T5dqHelZrzs963Un+moUwWbtzNO2efmvjPQPZqR/MKEb/zS19aWqluXWzVsPfYEVfz2WO4l3KKXXwfpt/AjT62DY5n2mOvxSuuWW9nv20Gly5ctNHte8ALxYtxKXTxmvz/K6GW/TcnR2pGWvN9j65YbnIlY3L3f6zx/C/KAZpjmT7uv+SR+unL7Mr4vW/+tYhNH96043/dzga+G68/Cm/dTWrzur+dc2XZflyJuTvkuH8Z2Fz0R53Ix1MmfeXDTo2Jydq7bYIBqR1cjIIevaBQQDZzVNSwFilFL5Mc5B9B7GjpsPlVJfapqWoJQqDNzDODLoB6XUdE3TriulXIE8mqadx9ip8y6wRik1VNO0ycCGDPZjkaZpcUqpeKVUfU3TdmJ2y5q1pKak8tXoxQxYPsL4OPTV27hy6hKvBbXn/JEzHNq8n52rt9JtWiATt88iMS6BBYHTAWjU6RUKFvegZb83adnPOPfOdP2x7msnr6TbtEDaj+7CzZgbfDF4rrVDsRjbytGLGLh8pPGRlKu3cuXUJVoFtSf8yBkObt7PjtVbeG9aPz7SY5uvxwbwyc65ZM+dA0cnR6o2q8m0jh8SdTmSgctH4uDoiMHBwLFdh/nt6802j+1+fN+MXkLg8hEYHAzsXr2Nq6cu0TKoHReOnOHw5lB2rd5Kl2l9Gbd9JrfiElgc+BkApWq8QPNerUhJTkFLTeWbUYtJ1CcuXjV2CV0/64eDkyNRF6+zYpDty+5+fNaom88Ka9TPK6cv8e3kFXSf1o+3RnflZswNlgyeY9OYVoxexODlo4yPCF+9lcunLvJGUAfCj5zmgB5Tj2n9+GT7bBLjEpirx3T51EX+/Gk3H22aQUpyCitGL0RL1Scuzu5MxfpV+GJ42lGSbT94B8+SXmipGlGXI1k24slHUT6J0K378W3oy+e/LzQ+YnrQZ6Z103+ZSVCLfgB8PmIu/aYG4ZzdmbBtoYRu25/RLk1qN6/DwR0HSLptn7mx9m3dR42GNVj8+2KSbicxfdCDujfrl1kEtjA+iWXOiDkETQ0iW/Zs7N+2n/16bBtXbWTAlAHM3TSX5LvJTBs4DYAKNSrQtndbku8lo6VqzB0xlxs2eqz2fakpqXw5ehHBej39ffVWrpy6SCu9nh40q6eT9Xr6udmxN2XnvDTH3tSO47mdcIuAwDe5cvoSY3+eAsCWZb+ww04fAg5sDcWnYXU+2/E5SbeTmD9opmndRyHTGeYfBMCSEZ/rj7LPxsHtoRzcZvx227d5LbqMe4+8rvkYsnQU4cfOMbmTcfrFF2pVIOZqNNet2KmXmpLK8tGLGLx8tN6WbOHyqYu0HtiBc4fPcGDzPn5btYX3p/fn09/mkBCXwJy+xjp2+dRF/vh5F5M3zyQ1OYVlo4xtiQYW9wnQdWJPoi5HMua7jwDY/+tevp+5hu9nrqHH1EAmbZiOUopVk1fY/AEboVv3U72hL/N+X6C3MzNM66b9MoOBLfoDMH/EXNOj7MO2hRKml6W9HNoaik/Dany6Yy53byexcNBs07oJIVMZ6R8MwBcj5tNjaiBO2Z05vD3MNDn4T3PX0XfuIBq0b0z0lShm9fr0kfvVUlP5euIyhn41FqUU4UfOsE2/PvPv+To+jX0xKMWWlRs4lonO3mch1lb925HbJQ+dPzR+CZySksKYgCGU9X2B+m38uHA8nAkhUwFYM+XLNBOr29vgMZPZd+AwcXE3aNzqHXp360ibgOaP39COjNfVi+mvX1fv0q+rA/TrzsP6dee70wL5UL8uW6SfGxrq152v9nuTV/Xrzhn6dWe7MV0pUr4EAD/PXMP1dB194oHncS4gW1H2eILHf4U+iXQsMFPTtJH6si+AOpqmldNf9we665skAO9omnZGKdUeGIZxdNc9jLeR7VVKJWiallsp5QysB37QNG2upf1gHCn0k6ZpFfX3GgTk1jRtrFKqOrAEuIWxc+nN++keQXuvhG0f4WxLC8PX8G4J+038bE1Lwr+lV4l29s6G1cwLX43UzefXkvBv6VyizeMTPqeWha/l9WIt7Z0Nq/jhwk/4F/O3dzasJuRCCF2zcN1cGr6Wt4rb55ZeW/j6/Pd0LN7a3tmwmhXn1/FGsQB7Z8MqvruwPsuXXVaP717UWXtnw2qc3EvSMwtfd84PX2NpZqQso6R7VZt1gJyNOvBc/S1l5JAV6aOF8qZb1iXd6xnADNLRNG0V8NCkFpqm5db/v4vZrWUZ7QeoaJbmU7PfQ4EqZunGPioWIYQQQgghhBDieaZpMh9TRmTOISGEEEIIIYQQQoj/MOkcEkIIIYQQQgghhPgPk9vKhBBCCCGEEEIIkeWlyoTUGZKRQ0IIIYQQQgghhBD/YTJySAghhBBCCCGEEFmePK09YzJySAghhBBCCCGEEOI/TEYOCSGEEEIIIYQQIsuTOYcyJiOHhBBCCCGEEEIIIf7DZOSQEEIIIYQQQgghsjyZcyhjMnJICCGEEEIIIYQQ4j9MRg4JIYQQQgghhBAiy0uVkUMZUjKsSvwDUlmEEEIIIYQQIutS9s6ANXnmf9Fmn2mvxh17rv6WMnJI/COfFH/H3lmwmiHnVzKixP/snQ2rmBj+FSOzaGwAE8K/YlCJt+ydDav5NPxrZhTLusde/wsrmZ6F4wu6sJKqHvXsnQ2rOBCxC2+3KvbOhtWciz5EVPMG9s6G1bhv+I0mRZvbOxtWs/niBt4q3sre2bCar89/z3sl2to7G1axMHwN/yv+hr2zYTVfnf+Od4q3tnc2rGbl+XX0zKJ1E2B++BruRZ21dzasxsm9pL2zYFWajHfIkMw5JIQQQgghhBBCCPEfJp1DQgghhBBCCCGEyPI0TbPZz7+hlHJVSm1SSp3S/3exkMZHKbVHKXVUKXVYKdXebN0XSqlzSqmD+o/P495TOoeEEEIIIYQQQgghnh1DgS2appUBtuiv07sFdNI0rQLwCvCZUiq/2frBmqb56D8HH/eGMueQEEIIIYQQQgghsrzU52fOodcBP/33ZcB24APzBJqmnTT7/YpS6jpQAIh7kjeUkUNCCCGEEEIIIYQQz45CmqZdBdD/L/ioxEqpmoAzcMZs8UT9drPpSqlsj3tD6RwSQgghhBBCCCGEeIqUUj2UUvvNfnqkW79ZKfWXhZ/X/+H7eAIrgK6apqXqi4cBLwA1AFfSjTqyRG4rE0IIIYQQQgghRJb3byeK/ofvtQBY8Ij1TTJap5S6ppTy1DTtqt75cz2DdHmBn4GRmqbtNdv3Vf3XJKXUUmDQ4/IrI4eEEEIIIYQQQgghnh0/Ap313zsDP6RPoJRyBr4DlmuatibdOk/9fwW0Av563BvKyCEhhBBCCCGEEEJkeak2HDn0L00GViulugEXgLYASilf4H1N07oD7YCXATelVBd9uy76k8m+VEoVABRwEHj/cW8onUNCCCGEEEIIIYQQzwhN06KBxhaW7we667+vBFZmsH2jf/qe0jkkhBBCCCGEEEKILM+Wcw49b6RzSNiFd4PKNB7TEeVg4PA32/lj3vo064vULEfjMR0p8EJRfgyczcmQfWnWO+fOQbctH3Nqw342j15uy6xbVKZBZV4d3QmDg4H9q7axI108Ds6OvDmtF4UrenMrLoFv+s4k7lIUDk4OvD6pO4UreaNpGj+PW865vcfTbPvOwmBcixVkZvPHTjBvNWUaVMZfjy/0EfF56fGtSheflx5fiFl83b4ZSe4C+UlOugvAFx0nkxh9w+axpVeuQRVe12P9Y9U2ts37Mc16B2dH3prWmyJ6rCv6ziD2UhRVX6+HX8+WpnSeLxTjs5bDuXLsvK1DeKTiDSrTYKzx2Dv6zXb2z01bll41y9FgTEfcyxfll76zOW127OXxcqPxJ93J4+mKBvzQeQo3L0XZOIJHK96gMn5jO2JwMPDXN9vZly6+wnp8BcoXJaTvbE6Zxdf/3HKi/r4IwM0r0fzYbZpN855ZQyYMoF7jOty5fYcx/Sfy95GTD6XpM7QHLdu+Qt78eahXqqlpeUB7f4JG9+b6VWO5rVqylu++Wv/Q9vYy5qMP8GtSnzu37zCo7yiOHv47zfrsObIzZ8kUinsXJSUllS0bfuOT8TMAqFmnGqMmDuGFCmXo1/0Dflm/2R4hZMjJtya53g9EORi488vP3F79lcV0zvUbkHfUeOL69iD51AlwdCR3/0E4likHWiqJ82Zx7/BBG+c+Y33G9aJmo5ok3b7DJwOncvqv0w+lKVOpNEOmDcI5ezb+3Ponc8bMA6DUiyUZ8FE/nLI5k5KSwswRszlx8ASNWjWkQ+92ANxOvMOM4bM4e/ysTeO6r/PY7vg0rM7d20nMGzST8L8ezod3xVK8P7UfztmdObgtlGVjFwFQy78ubwZ1wKt0EUa9NpizR4xPF3YvUpCpW2Zx5cwVAE4fOMHiEZ/bLiigQgMfOozuisHBwO+rtvDrvO/TrHd0duTdaYEUr1iShLibLOg7nehLkZSvX5k2H7yNg5MjKfeS+XbSCv7ek3Yaiz4LP6BAsYKMbR5sy5Ae0mlsN1PZfT5oVgZlV5KeZmW3fOxiwFh2bYLa62U3hHN62VWsX4W3hnY0xf/lpGUc233EZjF1HNsNn4bVSLqdxIJBsy3GVKJiSXpODdRjCmOFHlOufLnpOyeYAkUKEHkpklm9P+XWjUTK165A0MKhRF40znW779e9fD/TOHXJe1P64NPIlxvR8QxrNsBmcVZo4EM7vX7uXLWFDRbqZ9dpgRSrWJLEuJssNKufb3zwNo5OjiTfS2btpBWc0Ounb8u6tOjTGoODgSNbw1g32eJgi2fKyEnT2LHrT1xd8vP9Stu2EeK/SSaktgGlVIpS6qD+WLr1Sqn89s6TPSmDosmHnVnT+RMWNxlC+ddq41bGK02aG1eiCQmez7EfdlvcR/3gN7n4x98W19maMigCxndlWZdPmNF0MJVfq0uB0oXTpPFt58ed+ESm+Q1k1+JfaD70LePyDsbRfrNeGcrSdz6ixYh3MM4ZZvRi8xrcvXXHdsFYcD++5V0+YWbTwVSyEF/1dn7cjk9kut9AdluIb/YrQ/ninY94JV18awbMYY7/cOb4D38mOoaUQfHG+K4s6vIxU5oOouprdSmULtZa7RpyOz6RyX5B7FgcwqtD/wfAgR92Md1/GNP9h/F10FxiL0U+cx1DyqDwm9CZ7zt/worGQyj7Wm1c0x17N69Esyl4PicsHHvNpr9P2PyfWdH4A1YFjOZ2lP3LzJwyKBrp8S1rPIRyGcS3MXg+f1uIL/nOXb5sMYIvW4x4ZjuG6jeuQ7GSRXi9TnsmDPqE4R9bfvDEjo276NjiPYvrNvywlQ5NutChSZdnqmPIr0l9SpQsRsMaAQwbOJ4Jn460mG7hnOU0qd2Kln7t8K3pQ4PG9QC4fCmCwX1H8ePaX2yZ7cwxGMjdZwA3Rg4h9r3OZGvYGIdixR9KpnLkIEerNtw7ftS0LHsLY6dz3PtdiR8aTK4evcGsHbWnmg1rUNi7MJ1f6sr0D2bQf1KgxXT9J/Vj2gcz6PxSVwp7F6aGny8A743ozvLpK3n/ld4s+3Q5PYZ3AyDi4jUGth1Mj2a9WDnjS4I+7m+zmMz5NKyOh7cnQQ16sXDYXLpNsDxdw7sTe7Jo2FyCGvTCw9uTKn7VALh48gLTek7m7z+OPbTNtfMRDPMPYph/kM07hpTBwP/Gd2NGl4mMbhpEzdfq4Vm6SJo09ds14lZ8AiP8Atm8+CfaDH0HgITYG8zqNplxrwSzJHg2705PW+ZVm9ckyc7XLQA+Davh4e3FwAa9WTRsHu9O6Gkx3bsT32fxsHkMbNAbD2+vNGU3vefHD5XdzdgbTHl3IkObD2DewJn0nm67ulmlYTU8vD0JbtCHxcM+p8uEHhbTdZ3Yk8XD5hHcoA8e3p5U9qsKQEDvNzi26zCD/PpybNdhAnq3Nm1zYt9xRvgHM8I/2NQxBLBjzTamdP7QuoGlowwG3hrfjVldJjK2aRA1LNTPeu0akRifwCi9frY2q59zuk1m/CvBfBE8m656/cyVPzdthnVk+tvjGddsIHkL5OOFuhVtGteTaOXflM+nTbB3NrKcVDSb/TxvpHPINm5rmuajaVpFIAboY+8M2ZOnTyniwq8RfzGS1HspHF+/l9JNq6dJc+NSFJF/X0RLffigKlSxBLnc8xK+w3bf1DxKEZ/SxJy/RuzF66TcS+Hw+j2Ub5Y2nvLNfAlb+zsAR0P+oJR+QipYpjBndhm/0UiMvsGdG4kUrlwSAOec2ajX3Z9ts9J+W2JrRXxKE20W35EM4jtgFl9JPb4CFuLz0uN7FhXzKU30+Qhi9FgPrt9DhWa+adJUaFad/Wt3AHA45A/KWLi4qPpaXQ78aLlj054K+ZQiPvwaNy4Yj72T6/dSMl1Z3rwURZSFY8+1jBcGRwMXfjeW571bSSTfuWuzvGeGx/22RY/vxPq9lGr2cNtiKb7nRYPm9flp9a8AHAk7Sp68eXAv6PZQuiNhR4m6Hm3r7P0rTVs0ZN0qY2fVwf1HyJsvDwUKuadJc+f2HfbuNI72uncvmb8OH8fTqxAAly9e4e9jp0hNTbVtxjPBsVx5Uq5cJjXiKiQnk7R9K8516j+ULmfnbtxa8zXcfXBsORQrwb0DoQBo8XGkJiTgWLaczfL+KHWb1WHTWuMIreMH/iZ33ly4FnRNk8a1oCs5c+fkeJhx1OimtZup17yucaWmkStPLgBy5c1F9LUYAI6FHiMhPsG03wKeaeuBrVRvWpPf124H4PSBk+TMm4v8BV3SpMlf0IUcuXNyKuwEAL+v3Y5vs1oAXDl9iatnr9g0z5nh7VOayPMRRF28Tsq9ZPat34VPunOdT7Ma7F77GwChIXtNH6QvHg0n/nosAFdOXsQpmxOOzsYbEbLlzE7T7gH8PGutDaOxzFh224DHlV0Os7Lbhm8dEh2BAAAgAElEQVSzmkDGZXf+6Dni9PgvnbyAUzZnU/zWVr1pTXbq9fHMgZPkekRMp8OMI0p3mtVH8/psrKc1H/ueJ/48RkLczacXRCZ4+5Tmuln93L9+F1XS1c8qzWqwV6+fYZmon+7FCnHt3BUSYoxfah3feYSqLWrbMKon4+tTiXx589g7G+I/RDqHbG8PYBqKoJQarJTap5Q6rJQapy/7WCnV2yzNWKVU8CPSl1BKHVdKLVRKHVVKbVRK5dDXbddnNEcp5a6UCtd/d1BKTTHbl+WvVKwgt4cLN6/GmF7fvBpDHg+XR2xhRikajnyb7ZO+tlLu/rm8hVyIv/LgQ9iNqzHkK+SaYZrUlFTu3LxFTpc8RBy/QPmmvhgcDLgUKYBXJW/yeRq3bRLcll2LfubenSTbBWOBpfjyPia+pEzEB9B6Sk/6hEzCL/AN2wTzGPkKuRBnFmvc1WjyFXJJl8bVlCY1JZXbeqzmqrSsw8FnsHMot4cLN688OPYSrsaQu1Dmjr383p4k3bjFq/P781bIBOoPfwtleDZGL9z3b+IDcMzmxP9+Gk+H78c+1Kn0rCjoWYCIK9dNr69dvU5BzwL/aB+NX23Aqq3LmLJoAoW8Cj7tLD6xQp4FuXr5mun11SvX8PDMOH958uahcfMG7Nrxhy2y968Y3NxJjXxQbqlRkRjc03Z4OJQqg6FAQe79sSfN8uSzZ4wdSQYHDIU8cCxTFkOBZ6Pc3D3cibwSaXodeTUKdw+3dGnciLoalS6NMfa5Yz+nx4jufPXHSnqOfI9Fk5c89B4tOrzCn9v2PbTcFlw9XIm+8iDvMRHRuKY7/7kWciUm4sF5I/pqNK4eadNYUqBoIT4KmcboVRMoV+PFp5fpTMhfyJUYs3Nd7NUY8hdyeyhNrB77/XNd7nTnumotanPh6DmS7yYD8HpwezYtWs9dO1+3ALh4uKWJMSYiGpd0ZeeSruxirkbj4vFwZ3tGavrX4fzRs6b4rc3FQn3MXEzGNHnd85s6tuKux5LXPZ8pXelq5Zj4yzQGLxtJ4TJFrRnGYxnr3uPrZ0y6+pnLQv28qNfPyPAIPEoVxq1IAQwOBnya1cDVM/NlLbIWTdNs9vO8kTmHbEgp5YBxxvHF+utmQBmgJsZHzP2olHoZ+Ab4DJirb9oOeOUR6S/oy9/SNO09pdRqoA0ZzFyu6wbEa5pWQymVDdillNqoadq5pxq0BYqHP1Bm9tip2qkJZ7cdTNO5ZG/KwvD+hxqDDNKErt5OgdJe9F4/gbjLUVwIPUVqSiqeLxbHrbgHIR+uJH8R+3xjavIv4gvT4+uVLj6A1f3ncPNaLM65svO/eQPwaf0SB9f9bpUQMs1iHI9PY56omE8p7t1OIuLkpaecuacgM/FlwOBowKtGOb7yH8HNy9H4z+nLi21f5uiq355yJv+FfxEfwKI6/Um8Fke+YgVo8/Vwok5cJP789cdvaEOZam8eYcfGnfz63Sbu3b3Hm51aMX7mSHq+2e9pZvGJWT60LMfm4ODAzIWT+WLBV1w8f9nKOXsKLAaXdn3unn24OXXyQ8mSNoTgWKwY+WfPJ+X6NZKPHYWUFOvl9R/ITJk9qs4GdGzJvHHz+f2XnTRo+TKDpgxkyP+GmtJVqVOFV9o3J6j1wKeb8UyynPeHEj0+TTpx12MIrPMeCXE38a5YiuCFwxjcNJDbCbf/RW4zz+Jdif+g3AC8yhShzdC3+ayj8ZaXoi+WoGBxD1Z/uAy3Iv+sw9oanjTGzJ40CpcpyltDO/HRO+OeIHdPJjPt/5OcI8L/OsuAuj1JunWHKg2rEbTwAwb59f13mf03nkLZeZYpQmuz+nnrRiJfjVzIe7OD0FI1zoSewL1YoaeZayGyBOkcso0cSqmDQAkgFNikL2+m/xzQX+cGymiatlgpVVAp5QUUAGI1TbuglOpnKT3GzqFzmqbdn6EyVH+vR2kGVFZKvam/zqfvK03nkFKqB9ADYP78+f8k5gzdjIghj9nokTyeriRci83UtoWrlaZIjXJU7dgEp1zZcXBy5G5iEjs+XvVU8vYk4iNiyOf14NuHvJ6u3LieNp4bepobETEYHAxkz5OT23HGIfMhHz7ow+uxdixR5yLwrl0er0reDNo5A4ODgVxu+ej2zUgWd7D9fcc3LMR38zHxZTOL75d08UWfiwDgpl7mdxPvcOjH3RSpUsrunUPxETHkN4s1v6fbQ2UZHxFNfi834vVYc+TJyS09VgCfgGfzljIwjqTJ4/Xg2Mvt6Uri9cwdewlXY4g8ep4bF4yjBM5sDMWjaml4hjqH/k18AInX4gCIvxDJpb3HKVih+DPROdSua2tav/0aAEcPHsfDbLRPIc+CREZkflLw+NgH80StW/kj/Ub2enoZfQIdu7WnQ0fjvBeHDxzFs/CDi3VPr0Jci4i0uN2k6aMJP3uBpfO/tEk+/63UqMg0o30M7gVIjX5QbipHThxKeJPvk8+M611dyTNuEjfHDCf51AkS588xpc03fQ4pl+3X+fxa5wD832oBwMlDJyng9aAjoICnu+nWsPsir0bhbnZbmDGNcVRAszebmian/u2nHQz85MGEt94veBM8ZQDDOo7khg1va2naqQWNOjQD4OzhU7h5Pci7q4cbsdfTxhcTEY2r2WgTN083Yq89+gus5LvJJNw1xnTurzNcOx+Bp7eXacJqa4uNiMHV7Fzn4ulKXLq4YiOicfFyJ9bsXJeon+tcPFzpPX8wSwbOJvKCcbRfyWplKV6pJB/tnIODgwN53PIx6JuxfNphrE1iAmPZNexgnID/7OHTaWI0ll3a80H6snPNRNnd39fABUOZN3AG1y9EPKXcW9ak0ytpYkpfH+MyEVOcfr11IyqO/AVdiLseS/6CLtyIigdI0yl5aFsYXT7sQW6XPCTE2vZ2svviImJwyUT9dPVyJ85C/czv4Uqv+YNZOnA2URcejEY9vCWUw1uMt+i+9FYT05eV4r8n9Tkc0WMrcluZbdzWNM0HKA4482DOIQV8pM9H5KNpWmlN0xbr674F3gTaYxxJ9Lj05mN4U3jQ8ZfMg3LObpZGAYFm+/LWNG1j+oxrmrZA0zRfTdN8e/SwPPHdP3X10FlcvD3IV7QABicHygfU5vSmsExt+1P/eXxedwDz6wexfeJXHF33u107hgAuHzqDWwkPXIoUwMHJgcoBdfh7U2iaNMc3hVKtzUsAVPCvxdndxslGnbI745QjGwCl6lckNTmFyNOX+XPlZj6u1YdP6/dnQdtxRJ+7apeOIXg4vkoW4vt7UyhV/0F8BgeD6VYsg6MD5RpV5drJizaMyrKLh87gXsIDVz1Wn4A6HE0X69FNofi2eRmAyv61OL37wcSxSikq+9fi4Pq0t4U8K64dOkt+bw/y6sde2YDanM3ksXft0Fmy5ctJDldjuRWtW4GYU8/WiI0IvW25H1+5fxBftnw5cdDnjcjukhsv37JEPyPxrV66zjSB9LZfd9Cy3SsAVKpWgYSbCf9obiHz+YkaNK/PuVP2nTR9xeJVvOrXnlf92rMxZBut2wcA4ONbiZs3Eoi89nDHV/DwPuTJm5vxwz+xdXafWPKJv3EoXARDIQ9wdCSbXyPu7t1lWq/dSiSm3evEdu5AbOcOJB8/ZuoYIls2yGY8fTtV84WUFFIu2K/cfly2nvdf6c37r/Rm14bdNG3TBIDyVV8g8eYtYtJ3nlyP4XbiLcpXfQGApm2asHujsY2MuhZNldqVAahaz4fL54xzvBT0KsDYhaOZ3H8Kl8/Z9jjctPwX00TR+zf+wUtt/AAoXbUst24mPvRhPO56LHcSb1O6alkAXmrjR+imPx/5Hnlc86IMxkuzgkUL4eHtyTWzD7HWFn7oNAVLeOJepCAOTo7UCKjHoU3706Q5uGk/dds0AKC6f21O7DbON5cjb04Clw5j3SdfcSb0hCn9bys3MrhWT4bV78PHbUdx7dwVm3YMgbHshvsPZLj/QL3sGgLGsrt985bFsrudpuwaPrbscubNyeClI/jmkxWc3G/9B6NsXv6raaLo0I1/Ul+vj6WqluVWBjHdSbxDKT2m+mb1MWzzPlN9Nq+n+Qo8eE5OySqlUQZlt44heFA/3fT66Wuhfh7etJ/aev2s5l+bv83qZ9+lw/guXf0EyOOWF4CceXPRoGNzdq7aYoNohHi+yMghG9I0LV4f/fODUmoesAH4UCn1paZpCUqpwsA9TdOuY+wQWgi4Aw30XVhM/5i3DQeqA39i7Gy6bwPQS/2fvfsOl6uq3jj+fRNKaAEUlF6lCdI7KNKkCEgvgjQFFKT+QAFpdkGKgFLFSJcgRbHQm5SIJASCgKIUBUEEDYROkvf3x95DJpebfubuOSfr8zx57j1nEn0Pt8zMOnuvJd1u+z1JSwPP236josudII8Zy60nXMxOl3wN9e/HiMF38cqTz7P+ETvw4iNP87dbhzHfikuw3QWHMfOcs/KxTVZh/cN34GebHj3p//ECxo4Zyw0n/Jy9Lzka9e/HsMF38tKTz7Px4Tvy/IineOLWYQwdfCc7nn4gR9x5Om+NfINfHHw2ALPNM5C9Lz4a27z24v/45RHnFr6aDxo7Ziy/OeHn7HXJ0WmU/USu7/B8fVe1Xd9e+fpGtV1f/5lmZK9Ljqb/DP1R/378/d5HefDK20teJpCu9boTfs5+lxyD+vfjT4Pv5N9PPsdmh+/IP0c8zWO3DuWBwXey2+kHcvSdZ/DmyNe5LF8rwBJrLcurL/6X//6z/GqT3njMWO48/mK2vTT97D121V3896/Ps/YRO/DvEU/z9C3D+OiKS/DZCw9jwJyzsvgmq7D2ETtw2SZH47Hmnu9eyfZXHgMSL414mkevvKP0JY3HY8Zy+/EXs32+vj9fdRev/PV51snX91S+vq3z9S2xySqsc8QOXLLJ0XzoYwuyyff3xWPHon79+NM5N/DfJ7uvkew9t97P+huvw6+HDObtt97mpMO+9/5jv7j15+y6yd4AHHr8gWyx3aYMmGUANw67juuuuIHzT/0Zu31pJzbYbH3GjB7NqyNHceKh3TMF5Y5b/sCGm67PnQ/+hrfeepuvHXzC+4/99s5URJpvgY/w1f/bn7/99Sl+c0e6b3LJT3/BVZddx4qrLM95l5zBnHMOZOPNNuCwow9ks/W2n9D/Xd8aO4bXf/Ij5vzeqdCvH2/f/DvGPPsMs+65L6P/+gTvDpnwasN+c83NwO/+EGzGvvIfRp3y3T4MPnF/vP0B1txoDS65ZxDvvPUOP/y/095/7Lwbz+HLm6f2iWceezZHnX4kMw+YiQfuePD9HkJnfP1HHHjSV+g/Q3/efeddzjg6rZza47DdGTjXHBzy3bS1ZcyYMRz02d4noXXSQ7cPZeUNV+NHd5/HO2+9w/lHnvX+Y9//3Rkcs+XhAPzsG+flUfYzM/zOoQy/I91UWH2ztdj7m/sx8ENz8rVBx/PMY0/zgz2/yXJrLc9OR+zGmNFjGDt2LBcdex5vvPp6rxk6YeyYsVxxwkUcdsk3UP9+3Dv4Dv715HNsc/guPDvi7zx864PcM/h2vnj6wXz3zrN5Y+TrXHDwGQBstOfmfGTR+djqkB3Z6pD0svKML3ybUV0wcbTd8Py1O+Puc/PXbtxz9fd+dzrHbpm2Kv7sG+fnr91MPHznMIbfkW4orL7ZWuz1zS/lr91xPPvY0/xgz2/xmb225KOLzc92B+/MdgfvDMAPvvBNXnvl1T65ppU2XJXT7j6Hd/Mo+5bv/u40vrHl/wEw6Bvns38eZf/wncN4OF/TDedcy8HnHMkGu2zMK/96mbO+ciqQeidtvMdmjBk9lvfefpefHDxuWudBZx3OcuuswOxzz8FZQy7kmjN+wV0dLqqMHTOWX5xwEYde8g365e/PF558jq3z9+cj+ftz39MP5tv5+/On+ftzw/z9+dlDduSz+fvzzPz9ufOJ+7DQcosB8Nuzrualp1/o6HVU4agTf8CfHnqEkSNfY+Nt9+DAL36BHbberHSs2nMNp4j1FdWxUVLdSHrd9uxtxzcAg21fKulQ4Ev5odeBPWz/Pf+9EcDLtjds+7cf+PuklUK/ydPQkHQkMLvtkyQtCwzOf/f2/L+/mKR+wHeArUmriP4DbGt7Ys9uPmXRPabpv0U3+9qzl/GNxT5fOkZHfPeZKziuodcG8J1nruDIxXYrHaNjTn3mSs5cpLk/e4f+4zLOaPD1Hf6Py1hlvvVKx+iIh168l8U/vFLpGB3z9CsP8/JmG0z6L9bUPDfdxSYLN/eNxq3/vIndFt22dIyOufLZ69lvsZ1Kx+iIC5+5ms8v2h3DKjrhimevY49Fu6R43QGXPXstBzT0exPg/Geu5r2Xnyodo2NmnGeJ7po4UrHZZl2szwogb7z5TK3+W8bKoT7QXhjKx1u3fX4mcOYE/t0nejk3ob+/QtvfObXt8yeAFdv+3nH5/Fjg2PwnhBBCCCGEEEJotOg5NGHRcyiEEEIIIYQQQghhOhbFoRBCCCGEEEIIIYTpWGwrCyGEEEIIIYQQQuNFz+UJi5VDIYQQQgghhBBCCNOxWDkUQgghhBBCCCGExotR9hMWK4dCCCGEEEIIIYQQpmOxciiEEEIIIYQQQgiNFz2HJixWDoUQQgghhBBCCCFMx2LlUAghhBBCCCGEEBovVg5NWKwcCiGEEEIIIYQQQpiOxcqhEEIIIYQQQgghNF6sG5owxbKqMAXimyWEEEIIIYQQmkulA3TSDDMt2GfvaUe/+3yt/ltGcSh0LUn7276gdI5OieurtyZfX5OvDeL66i6ur76afG0Q11d3cX311eRrg+ZfX+ge0XModLP9SwfosLi+emvy9TX52iCur+7i+uqrydcGcX11F9dXX02+Nmj+9YUuEcWhEEIIIYQQQgghhOlYFIdCCCGEEEIIIYQQpmNRHArdrOl7a+P66q3J19fka4O4vrqL66uvJl8bxPXVXVxffTX52qD51xe6RDSkDiGEEEIIIYQQQpiOxcqhEEIIIYQQQgghhOlYFIdCCCGEEEIIIYQQpmNRHAohhBBCCCGMR1J/ST8snSNMPUk7Svp6/nwhSSuXzhRC6F7Rcyh0DUkCdgeWsP0tSYsA89l+oHC0ykhaGjgKWBSYoXXe9kbFQoXJJmlmYAdgMcb/+n2rVKZpJekGYIJPBLa36cM4HSdpQT7483d3uUTVkHQK8B3gLeBGYCXgMNuXFQ1WEUnrAcNtvyFpD2BV4EzbzxaOVglJOwE32h4l6TjS9X3H9rDC0aaZpK2A39keWzpLJ0wH35u3Axu7oW8Ymvy6TNJZwGzAuraXk/Rh4Pe21ywcLUwmSYsCS9m+VdIswAy2R5XOFZorikOha0g6FxgLbJSfxOYGbra9RuFolZH0MHAeMBQY0zpve2ixUBWQNIreCwwCbHtgH0fqCEk3Aq/ywa/facVCTSNJG+RPtwfmA1rFhN2AZ2wfWyRYB0g6GdgFeIxxXz83oQAmabjtlSVtB2wLHA7cYXulwtEqIekRUsFrReBS4CJge9sbTPQf1oSkR2yvKGl94PvAqcCxttcqHG2aSboMWAe4Bhhk+/HCkSo1HXxvngYsBVwNvNE6b/vaYqEq1NTXZQCSHrK9SutjPvdw3Z8XJI1g4je1VuzDOB0jaT9gf+BDtpeUtBRwnu2NC0cLDTbDpP9KCH1mLdurSnoIwPb/JM1UOlTFRts+t3SIqtmeo3SGPrKQ7c1Lh6iS7bsAJH3b9qfaHrpBUu1X1PSwLbCM7XdKB+mAGfPHLYErbf83LcZsjNG2LelzpFUZF0naq3SoCrXelH4WONf2rySdVDBPZWzvIWkgqeA8SJKBQaTv0ybcAW/69+aHgFeA9pU0BhpRHKKhr8uydyX1IxdSJH2IiRRVamSr/PGg/PHS/HF34M2+j9MxBwFrAn8EsP2kpI+UjRSaLopDoZu8J6k/457E5iWtJGqSGyQdCFwHvP8G1fZ/y0WqXn7yGtA6tv2PgnGqdJ+kT9geUTpIB8wraQnbTwFIWhyYt3Cmqj1FKqI0sTh0g6QnSNvKDsy/P98unKlKoyQdA3wB+GR+rphxEv+mTp6XdD6wCXBy3sLamL6Qtl+TdA0wC3AYsB1wlKSzbJ9dNt00a31v7gF8qmnfm7b3KZ2hw5r8uuw80oqveSQdD+wKfK9spGnX2rIpaT3b67U9dLSke4HabvXv4R3b77Zu9EiagWYU90IXi21loWtI2p205WNV4GJgR+A421cXDVYhSU/3ctq2l+jzMB0gaRvgNGAB4CXSHv7HbS9fNFhFJD0GfAx4mvQisrVtrvZLmCVtDlxAKqBA6qt0gO2bioWqWH5zuhJwG+O/CTikWKgK5a24r9keI2k2YA7bL5bOVQVJ8wGfB/5k+w+5J92nbV9SOFolJM0KbA6MyHeH5wc+YfvmwtGmmaStgX2BJUl3+C+2/VK+5sdtL1o04DSaDr43lwbOBT5qewVJKwLb2P5O4WiVmA5el60IbJoPb7X9cMk8VZI0HPiq7Xvy8brAObYb0XQ79xIcCewJHAwcCDxm+xtFg4VGi+JQ6CqSlgU2Jr3pvq1pvQmaLu/d34j0AmQVSRsCu9nev3C0SuTGgB/QoMajMwPL5sMnmrb9akJbPWxf3NdZqpbfaB8BLGJ7/9ybYBnbvykcrTI9GnPOCvRvyLYkAHK/oaVsD8orv2a33dsb11qRdAnw094av0va2PZtBWJVLm+da29o3ISVJ0i6i9Sw+fy2vjWP2l6hbLIwOSQtD6xHWnFyr+3HCkeqjKTVgJ8Bc+ZTI4F9m9DIHyBvCfwi8BnS+6KbSL9L48176JgoDoWuIelM4Crb95XO0imSZgS+ArR6u9xJesH1XrFQFZL0oO3Vc5FoFdtjJT3QpMkYklYCPpkP/9CUu3BtxYVFbe/XxOICQO5jtnQ+/EuDfvauIjVU3TPf3Z8FuL9Bd1Ab3ZhT0onA6qSfuaUlLQBc3WPLROhCkg4gbWN5i3FbPpq08uRPttfo0dR4eIN+tzT2dZmko4G9getJxYWtgZ/bPqVkrqrlwqxsv1o6Swh1Fz2HQjcZBhyXlzBfRyoUPVg4U9XOJfUiOCcffyGf+1KxRNUaKWl24G7gckkvAaMLZ6qMpEOB/RjXiPMySRc0oGcGpAaxQ0lThQCeI/UqaExxSNKnSVtWnyG9UF5Y0l69rWiooSVt7yJpNwDbb6lZHamb3phzO2AV0vMgtv8lqRGN/iWtDZwNLAfMBPQH3nBDplgCRwLL2365dJAOeVnSkozrB7kj8ELZSJVq8uuyvYHVbL8BIOlbpOf5RhSH8mrnHUjb4GdoPeXZbkTPobzl8QOrOJpSeA7dKYpDoWvkrR0X52kKO5Caci5ie6nC0aq0Ro8RorfnVTZN8TlSE9zDSVMj5qQ5jQEhLe9dq+2F1snA/aQ3PnXX9OICpH5Yn7H9F3i/l8aVwGpFU1Xj3bxaqPUGbkma1Xi76Y05380Tr1pfv9lKB6rQj0mNcK8mrY7ak9S7rSn+TrMmJPV0EKkf3bKSnif13NujbKRKNfl12bOM39i+H+P6CjbBr4BXSQWvJj3ftaze9vkAYCfS9MAQOiaKQ6EbfYzU92QxoDF7o7Mxkpa0/XcASUswboRx7bWKJlnt+7j0Qoz/9RqTzzVB04sLADO2CkMAtv+atxQ0wUnAjaTVUJeTekw0acrQXZKOBWaRtCmpMecNhTNVaXCeVjZX3kK3L3Bh4UyVsf03Sf1tjyGNs2/S9vFjSJMs/0gDG93nCZab5IJlvyb1+cqa/LpsFDBC0o2k5/bNgXtyo2Nsf61kuAosZHvz0iE6xfYrPU79SNI9wAkl8oTpQxSHQtfIqzC2J92FGwx82/bIsqkqdxRwh6SnSEWFRWnQGzhJ2wMnAx8hXV9rmldTtg8MAv4o6bp8vC1wUcE8VTqJZhcXAB6UdBFpYhKk1W1DC+apjO2bJQ0F1ib93B3asG0uR5NW7o0ADgB+Z7tJxZNTc9HrNWAZ4ATbtxSOVZU3c6+v4flN6QtAk1ZGnQ/cTvreHFs4S+XydupBpELDhZJWBY5uwiS9rMmvy27Jf1qGlwrSIfdJ+oTtEaWDdEL+WWvpR1pJ1IjtxqF7RUPq0DUkfRn4ZcPe0HxA3iO9DOlFSKMmQkn6G7B1k6fM5Sfr9Ulfv7ttP1Q4UmUkfZhxxYUhTftZzD97B9H29SONva39z6Ck23o2Z+7tXF1JOtT2mZM6F7pPnjL3b1K/ocNJ243Psf23osEqIuk+2+uWztEpkh62vZKkzUi/P48HBtledRL/tDaa+rpM0ia2by2do1MkPUbabfA0adVe64bkikWDVUTSHW2Ho0n9Ek9tXwEdQtWiOBSKk7Ss7Sd6VMjf14SRlJI2sn17XlnzAbav7e183Ui6t4nTdSQNtP1a7of1AU0YWdz04kJTSRoAzArcAXyacdscBwK/t71coWiVkjSs55vR9ulJdSdpFON6KM1EapDbmKbNkuYFsP2f0lmqJum7pN4uNzD+trLaPy8ASHrE9op5ouydtq9rws/e9PC6TNIvgZVIvfUG2X66cKRK5cLzB9h+tq+zhNAUsa0sdIMjSCOKT+vlMQMb9W2cjtiAtOx8614eM+OmX9Xdg3mk9vWM/yK57td3BbAVaQtSe0Vd+bi2kyPaigvzSJqb8YsLCxQLViFJg23vLGkEvU/+qPNdxgOAw0hfq6GM+/q9BvykVKiq5AbpnwcWl/TrtofmAHr2Y6gt2+NtFZC0LWk6W23lhvYnAl8lfV/2kzQaOLsp04Syz+ePx7Sdq/XzQg9DJd0MLA4ck6foNWH7XONfl9neUdI8pC3U10oaSdoieLXtt8qmm3a2n5W0PrCU7UG5CD176VxV6TmNrXW+Yb8/Q5eJlUOha0gaYPvtSZ2rM0mL97xz09u5upI0qJfTtr1vn4cJkyX3k2gVF55n/Lb2hykAACAASURBVOLChbZ/XCpbVSTNb/uFJt9llHSw7SZMzRtP/potDnyf1HeoZRTwiO3RRYL1AUlDbK9dOsfUknQ4sCWwf+s5Ljf7PRe40fYZJfOFySOpH7Ay8JTtkXn78YK2HykcLUwmSQNJRcxjSX09FwZOsX1B0WDTSNKJpD48y9heWtICpMJXI1aw50birWls7zdJt93bzfQQKhHFodA1JrBt4APn6mwC1zjUdhNGaTdek7deNbW40E7Syba/PqlzdSVpBeDjpJG3ANi+pFyiMLl6bG1pNR7dwPY6hSJNM0kPAZv27F2W7+7fXPdtSS2SZiWtgF7E9v6SliK9Wf1N4WiVkHQJ8AfgD7afKJ2napKO6OX0q8BQ27Vu4Jyb3O/L+FvLnsurvx613esNk7qQNBxYBRjW+n3S2gZZNlk1JD1qe4XSOcL0JbaVheIkzQcsSBpRvArjb2uZtViwCklaFlgemLPHm4CBtL2RqztJCwFnkyZdGbiHNDXpuaLBptH0sPXK9tnTQXFhU6BnIWiLXs7VTr6D+mnS1+93pOu6B2jE10/S2qTfLcuRevL0p0E9eRh/a0ur8ejnykSpzIy9NbW3/R9JM5YI1CGDSHf2W02pnwOuBhpRHAJ+Tmrif3Ze+TWcNIyhKc3gV89/bsjHnwX+BHxZ0tW2TymWbNrtB/wUuMVtqwFsj8pDYOruXduWZABJTZqCCA2fxha6UxSHQjfYDNgbWAg4ve38KNIS2CZYhtSzZi7GfxMwivTk3RSDSP15dsrHe+RzmxZLVI1G93WBZhcXJH0FOBBYQlL7Vog5gHvLpKrcjqS7ww/Z3kfSR0lvCprix8CupDfdqwN7kqbUNILtpozObvfuVD5WN0va3iX3x8L2W7nfUiPkps13AWsAGwJfJt3sakpx6MPAqrZfh/efC38JfIr0fF+74pCk39vewvbOE/o7tn/fl5k6ZLCk84G5JO1HWiXVpOe99YG9JTVyGlvoTrGtLHQNSTvYvqZ0jk6StI7t+0vn6BRJw22vPKlzddXkrVe5WXOruLBSq7hgu7dmnbUiaU5gbnrpW9OgiUIP2F5T0lDSG7hRpG0DyxeOVglJD9pevX3LgBowQlzS2fTSJL3F9iF9GKdSksYAb/T2EDDAdiNWD0m6D9gYuNf2qpKWBK60XeuG4i2SbgNmA+4nbS+7x/ZLZVNVR9LjwEq2383HMwPDbS9X16lsdc09NfLWuc+Qfq/cZPuWwpEq0+Q+iaF7xcqh0DVsXyPps6Q7Uu3bWprUlf8hSQfxwWtsSsPmlyXtQdrbDrAbzZoo1OStV2/ZHitpdG5e+RINmbZj+1VSD4ndACR9hPT1m13S7Lb/UTJfRR6UNBdwIelu9+vAA2UjVepNSTMBwyWdArxAesNadw+WDtAptvuXztBHTgJuBBaWdDlpW3WTVoI9AqwGrED6PTpS0v1NmHaVXQEMkfSrfLw1cGXeovRYuVjTZE5J20zoQdu/ntBjdSJpi7wC6pa2c1+2fV7BWJVp+jS20J1i5VDoGpLOI/V12ZC0LHRH4AHbXywarEKSrgaeIE2N+BZpvOjjtg8tGqwikhYhbf9Yh3Q3/D5Sz6FG3OWY0NYr2zuWzFUFSeeQtnHuCvwfqbgwvEnbXSRtTdq6ugCp+LUo6eevEatrWiQtBgxs0jShfAf136R+Q4cDcwLn2P5b0WBhgiR9aGKPN2XVHkCe4LU2afXCkN56LdWdpNlJRa8jgflsz1w4UmUkrUbawiPSc3qti7aSXgF+y7gt8O1se88+jtQRedXecbZvz8dfBz5te4uyyarR9GlsoTtFcSh0jdZ2gbaPswPX2v5M6WxVaS31bbvGGUnLYDcqnS1MWpO3XrVrYnEBQNLDwEbArfnncENgN9v7F45WOUnLAEfablJPs/FIWs92I3pG5TvCX+eDqxJr+9yQ+2SYCb9BbcTKxCZPsQSQ9FXgk6TVQ88Cd5Mml91eNFiFeludYfvp0rmmlho26XdCJM1Davx+FLA5sCywq+33igarSNOnsYXuFNvKQjd5O398M1fHXwEWL5inE1pPWCPz9qQXgcXKxamGpK/ZPmVC/TPq3Dejh8ZtvZI0wReQkla1Pawv83TYe7ZfkdRPUj/bd0g6uXSoaSFpReBU0mqo60kTvc4B1gJOKxitEpL6AzuTJlreaPtRSVuRVrnNQnrh3ASXA1eRJiV9GdgL+E/RRNPIdtOev8czPUyxzGYhrbgcant06TBVa1+dQRqgMSNwGWl7YF01piH6xNh+OW+fu5W0nXrH9qlsDdD0aWyhC0VxKHSTG3LPjB8Cw0hFhgvLRqrcBflF5HHAr0l7h48vG6kSj+ePtV6KPRma2NdlYgUEk1baNMXIvCLxbuBySS+RxobX2YXAuaRmsZuTfndeAexu++2J/cOauAhYmPRzdpakZ0nbVo+2fX3RZNX6sO2LJB1q+y7grjwhqhHy895SjL8q6u5yiSrR+CmWALZ/KGkl0mh3SKuGHi4cq0rbkVdnANj+l6Q5ykaaZnvD+1v9X2o9F0iaBZjH9j8LZptmkkYx/o3ImUg36naUZNsDyySrXG/T2Jr2vih0mdhWFrqCpH7A2rbvy8czk6aZvFo2WXXyNe5oe3DpLJ0iaSfbV0/qXB0pvSpeqPWiqqlbr5os33V7C+hH6vc1J3C57do2TVePaYCS/gksZntMwViVkfQosGJesTcAeBn4mO0XC0erlKQhtteWdBNwFvAv4Je2lywcbZpJ+hJwKLAQMJzUm+f+Om+Za6cGT7EEkHQIsD9wbT61HXBBU65Z4yY9DsvT5mYjfX/WfuuOpAeBdXtMYvtDUybpTQ+aPI0tdKd+pQOEAGB7LG0rGGy/06TCELx/jV8tnaPDjpnMc7WTlypf33b8TJMKQ5JmlXScpAvy8VJ5+04j5O1Jv7I91vZo2xfbPqvOhaFsgKRVJK2atwi+DqzYdlx37+bfneS7339tWmEo+46kOUnN4I8kDWU4vGykyhwKrAE8a3tD0iqNWm+Z6+HF1kqT/Dv02ob87LV8CVjL9gm2TyAV95rUy6zn6oxbST9/TTBDqzAE6bU10KRG4pK0h6Tj8/HCkhpT+JJ0OGloxlG2j4zCUOgLsa0sdJObJe1AakLd1CVtt0g6ktRb4o3WybpPbZG0BbAlsKCks9oeGkj9t+20GyJpDdt/Kh2kAwaRtkasm4+fA64mNXusPdtjJL0pac6GFZ5fIPUDaXmx7bgJ2wKXldQqwgpYMh+LVLOt9d19SavbftB26+fsVdLEziZ52/bbkpA0s+0ncsP0pjje9tW5qfFmpB5g55L6fjWBgPaViGNoUE8b26fm1RmvkfoOndCgN+GvSNrS9u8A8g2fWr/e7OEcYCzpee7bpJsjPyEVo5tgIHCTpP8CvyCtJv134Uyh4WJbWegaeQ/xbKRiwtuMe/HflL3DrektPdV+akvuR7Ay8C3ghLaHRgF32P5fkWAVk/QYsDRpYssbNOQNKqTl57ZXV56ol889bHul0tmqImkw6a73LYxfnG1Kw/TGURphP0G2n+2rLJ0g6SFS77krgV/YfqxwpMpJuo40Av0w0pu4/wEz2t6yaLCKaNwU0u8DI2xf0f57tO4kHUFqkH5dPrUt8HPbPyqXqnPyKtNdbV9eOsu0krQ0qQfdh/Op/wB72P5ruVTVadsK2NjXLfD+4IldgB2A52xvUjhSaLBYORS6hu26NwCcpKZOb8nNKR+WdEVTRohOwBalA3TQu7lZZWsqxpLAO2UjVe63+U/jSJoVOAJYxPb+kpYClmlbkVJLreKPpJNtf739sTxp7uu9/sOayEWFZYBdgV9KepdxhaJaF75abG+XPz1J0h2kXl83FoxUtefztqRNgJNzX5fGtG2wfbqkO4H1STdE9rH9UNlU005p4uhBpEmIvybdNDiINBZ9OGmCYK3lItDqeZAGtkcWjlS193Ixr/W6ZV7SSqKmeYm0KvgV4COFs4SGi5VDoWtIus32xpM6V2eS9uztvO1L+jpLJ+Q3pN8HPs74U2lqvTKqJU/++ADb/+jrLFXLy+qPI33tbiaN8d3b9p0lc4XJI+kq0rbAPW2vkAt997c3q66z1h3iHuceacKqvXZ5FeauwM7Ai7ZrO05b0kDbr0n6UG+P1307dUsuzG5OWjX0pKT5gU/YvrlwtGmWB2k8YnuF0lmqJulXpFVs9wMbA3OTpl4dant4yWzTStJutq/MzcQ/wPZZvZ2vG0m7k1bUrAb8HNgROK4JQ1AAJH2FdH3zAr8Ermri6tLQXWLlUCguT6CZFZhHadxtay/7QNKI2CZp3wc9gPSCZBjQiOIQqW/NicAZpL4Z+9Cg3gSkVScmXdMAYHHgL8DyJUNVwfYtkoaRtl2J9AL55cKxKpW3dX7gjkhDipdL2t5F0m4Att/KE/ZqLb84PhBYoq33EMAcwL1lUnVGfiP+EeCjpC3WdW/afAWwFalo2fq92f6xCT93kLZTD7L9JIDtF0i9wGovTwl8WNIiTbgJ0sMStj8BIOmnpEmIi9geVTZWJebKH+ctmqLDbF8uaSjptbSAbW0/XjhWlRYFDqt7sTLUSxSHQjc4gNSLYAHSi8jWG5rXSI3lGsP2we3HeTrNpYXidMIstm+TpLwl4iRJfyAVjGqv9UKyJU+kOaBQnMrlyV2/BZC0jKTv227SVJrV2z4fAOwE9LqqoYaaui3wCuD3pBWJR7edH9WglSefBHYj9XJ5lNR49PC6N063vVX+2Mjt1G2eAC6QNAPpBsmVdf/a9TA/8GdJDzB+r7ZtykWqxPtb4PPAgqcbUhgCWDh/fMj2tUWTdN48wJu2B0maV9Litnvr71k7to+WtL6kfVrXB8zelOsL3Sm2lYWuIelg22eXztGXJM1IWrK9XOksVZB0L/BJ0vLX24HngR/YbtJkmvH0tt2lTnKjw1NJxdnrgbNJE0DWAk6zfUbBeB0n6R7b65fOMa2aui2w6VuTJP0T+AepIDS4iZNoJG0H3N4qmOT+J5+2fX3ZZNXKvaP2IRX67gUutH1H2VTTTtIGvZ23fVdfZ6mSpDGMK3YJmAV4kwYMQ5E0gjQk5E91fn0yKZJOJN30Wcb20pIWAK6u83bcdk2/vtCdYuVQ6CYvSprD9ihJxwGrAt+xPax0sKpIuoFx21r6kd7IDS6XqHKHkbYIHkIaK7oRacpJI+SpLS39SN+jdd/6cSFp7PL9pL4Zw0irNXa3/XbJYFXLK71a+pFedDWiEX6DtwX2tjWppQlbk9ZvbzwtaTbbb0zsH9TQibZbk66wPTK/6WlMcSg3xV02/3kZeBg4QtIBtnctGm4atReBJM0DvOIG3Fm23b90hg66hTSyfrY8Br2lVfhqyorZ7YBVSK9bsP0vSY14Ts+afn2hC8XKodA1Ws1FJa1P2kJwKnCs7bUKR6tMjztwo4FnbT9XKk+YMvkNTcto4BngmjoXUSQNb29anFcyLGZ7TMFYHZEnJbW0vn6n2v5LmUTVmV5WZzSVpHWAi0hbBhbJjakPsH1g4WjTrLfG4ZJG9NymW1eSTge2Jq2Wvcj2A22P/aWuK2clrQ38gFRk+DZpC/w8pML6nrabNHGuUfIWxzHAb4APbP9ryvO7pAdsr9k20n420iCGRgwqaPr1he4UK4dCN2k9WX0WONf2rySdVDBPJzwMLJU//2vD+hIgaXXgG6Qmeu//fmnKE5ntb5bO0AEDJK3CuBUZrwMrtpoZN2nlnu0NS2fooEavzpD0RdsXtR33J02lacrP5I+AzUgjtbH9sKRPlY1UmQdzAeUnpNVeB5NWgjXFo6TvxTd7eWzNvg5ToR8DxwJzkgpfW9geImlZ4EogikPd64+2V5P0n6YUgiZgsKTzgbkk7QfsS1oN3RS9Xd9PC2cKDRfFodBNns+/BDcBTpY0M+kOVe1Jmgm4APgc8DTpuhaVdB3wZdvvlsxXocuBo4ARwNjCWSolaS/gUKB1F/hx4CzbdZ809wJwetvxi23HJm0NrL3cD2R/0rYPSF+/C2z/tVyqSvX2u7JJz/EbS9oB+CJp9cLPgFr3POnJ9j97DJhrypu6g4Hjgavy8c2k/li1JmlRYKTtn+XjDUlNxZ8Ffmz73ZrfAJrB9s0Akr5lewiA7ScaMAix6WbOY94/Kam3lUO/LpCpMpIOI/X1+hFpMu5rpNdmJ9i+pWS2Ktk+NfcTbOT1he7UpBeOof52JvU8OTXf9Z6fVGhoguOAGWkbk5r3Df+E9KL5+ILZqvSfur/o6I2kPUn9lI4g7f0Wqd/QDyVR5wJRazWNpAE9t8dJGlAmVbXylp1rSQXaC0hfv1WAOyVt33rTU3ONXp1h+/OSdiEVnt8EdrPdpFH2/5S0LuB8M+EQUgGz9nIPpaMlzW779dJ5KjSY1BPkVUkrA1eTtsSvRGrq/6WC2arQfoPnrR6PRU+K7nYQsAdppP1OPR4zeYVijS0EnEm62fMIcB+pWNSY57yWXAy6BdKKWUm72768cKzQYNFzKBTX9Gk0AJIeBdbsuexc0uzAENsrlElWLUkbkya13EbbGO26j1KVNATY1fYzPc4vBvzC9toFYlWqt6lrdZ/E1iLp98DJPSd35R5gR9veokiwCuVeBMeTVl6KtDrjO01pbixpKeBiUnFoOeAx4IgJbOWpndzo90zG//odavuVosEqkIteP6Vh/ZTaeylJOhUYa/trkvoBw+u+nbptmlf7JC/y8QDbM5bKFiZPboh+fukcnZIL6asD6wLr5D8jbX+8aLBpJGkgqcC3IKmQd0s+Por0u+VzBeOFhouVQ6EbNH0aDaQXjR94E2P7dUlNqtDuQ7qTMyPj7jqatGqjzgb2LAwB2H4mP4nXlqT5SC9AZunRe2ggafJcEyzZszAEaQqPpAsK5Klca3VG6RwddANwkO3bcj+sI4A/AcuXjVWNPFlu99I5OuQMmtlPqf21ykbAMQC2xzZh21XDp3lNF2yfn3tEfRwY0Hb+inKpKjUL6bXKnPnPv0g3EOruUuB/pCmyXyIVhWYCPmd7eMlgofmiOBSKs71V/rh46SwdZElzM/6LyZYm9eZZqSkTaHrouaR+ch+rg82AvUnLtE9j3Pfoa6RmpE0waiKPNWVlzdLAkcBijN8MvhE9o0grL1+DNIcZOE1S3bdGvE/SWb2cfhV40Pav+jpP1RraT+l2SYNJfdvmJjVtJm+Jb0ofwVBjko4DPkO6aXcT6fn+HtJN2drKN3WWJz23/5G0rex02/8rGqw6S7ReS0v6KfAybW0pQuikKA6FriJpQT446erucokqMydpZVRvxaEmrRwaIunjth8rHaRiy0l6pJfzouYr22xfDFwsaQfb15TO0yELT+DNt0irpprgauA80vadJrzxBkDS12yfkrce72T76raH96E5BcwBpDdwrevbAfgz8EVJG9o+rFiyadfUfkqHAbsA8wPr234vn5+PNLUzhNJ2AVYGhtn+Qi5cNmGb2SLAzMCTwPPAc8DIoomq1fpdgu0xkp6OwlDoK9FzKHQNSSeTnsgeY9ybG9v+wKSFppK0vO0/l84xtSQ9DixJmsj2DunNtxvQe2HRiT1u+9m+ytIpkr4HnGJ7ZD6eG/g/202YKrTXxB7PBbJakzTU9mqlc1Stve9Vzx5YTemJBSDpduAztkfn4xlIfYc2BUbUuYdGj35K/UgrGBrRTymEbibpAdtrShoKfBp4nfT7pPZ9LvP24uVJ/YbWBVYA/gvcb/vEktmmVVu/Lxi/51frNXWt2xmE7hYrh0I32RZYxvY7k/ybzXUpaQpWXW1eOkAnTG7xR9L9ttfpdJ4O2cL2+6swbP9P0pY0YOT05BZ/JJ1t++BO5+mQGyQdCFzH+M3g697QXxP4vLfjOlsQmI20lYz8+QL5rnGtnxMb3k8JSaP44ArgV4EHSQX2p/o+VQgAPCRpLuBnpO/H10gTV2svby9+VNJI0s/bq6T+pWsCtS4ORb+vUFIUh0I3eYrUyLjWL4SnUW3f7OQJLb9twh2paVDn0e/9Jc3cKs5KmoW0bHt6sl7pANOgtTrqqLZzTWjo7wl83ttxnZ0CDJd0J+l54FPA9/IUultLBptWkpYgrRxam/Q1ux84vEFFk9NJjXCvIH3tdiVtLfsL6U35p4slC9OtvLLmpLwa+CeSbiIN16h9cUjSIaTVQuuRtmDdS/q98jOa0ZA6hGJiW1noGpKuAVbig2PQDykWqo/VfZuEpMuBY2z/o3SWEur89ZP0NWAbYBDpDdy+wK9tn1I0WB+q89evqaancdq5H8iapGt7wPa/CkeqhKQhwE+AK/OpXYGDba9VLlV1JP2x57VIGmJ7bUkP216pVLYwfWvwduPTSU2o77X9Quk8ITRJrBwK3eTX+U+or/mBP0t6gLYpUNNT36i6sn2KpBHAxqQ3p9+2fVPhWGEySdqzt/O2L+nrLFWazpbXv02afDUA+JikjzVkIINsX9p2fJmkrxZLU72xknYGfpmPd2x7LO7AhpIekLRqE1YLtbN9ROkMITRVrBwKoYu07jaWzjG1JG3Q23nbd/V1lhIkPWR7ldI5wtSp89dP0tlthwNIRb5htnecwD8JXUTSl4BDgYWA4aQtWPfb3qhosApI+gFpktAvSMWSXUhbVn8C9e+L1bZtbh3S9Q0BDidNUVrN9j0F44XpkKQZbI/ON3yWA/7OuBWYjhWyIYQJieJQKE7SYNs75yexD3xD1n3SVbu8B3x3YAnb35K0CDCf7QcKR6uMpI8Ca+TDB2y/VDJPX5K0gu1HS+eYGj2aqs5E6v/1xvQ0FUPS3rZ/XjpHFSTNCVwaq/bqIT//rQEMsb2ypGWBb9repXC0aSbp6fxp6/dLe2892657X6wQukpri7SkJXt73Pbf+zpTCKEeYltZ6AaH5o9bFU3RN84BxgIbAd8CRgHXMK6YUmt5af0PgTtJbwDOlnSU7V9O9B92uQlMo4EeY0XrWhgCsD1H+7GkbUn9T2pP0g1MZHtHq4DSlMJQ9iawVOkQYbK9bfttSeTG8E9IWqZ0qGkhaQ3gn7YXz8d7ATsAz5Aa5dZ6xVCLpHmB/YDFaHtdbXvfUpnCdE8QRaAQwpSL4lAortVMrjUuXNJAmvu9uVa+m/MQvD8ufKbSoSr0DWCN1mqh/KL5Vsb1YqilnoWT6YHt6yUdXTpHRU7NH7cnTRG6LB/vRnqjWns9CmD9SVsJBpdLFKbQc3nk9PXALZL+R5qAVWfnA5sASPoU8H3gYGBl4ALG781TZ78C/kB6rhtTOEsIAPNKmmBfHtun92WYEEJ9NPUNeKghSQeQVtO8xbg3OU0YxdzuPUn9ydeXiydjy0aqVL8e28heAfqVCtMpkj5C29j6Jkxnk7R922E/YHUa0ky11fNK0rdtf6rtoRskNaHhL4wrgAGMBp61/VypMGHK2N4uf3qSpDuAOYEbC0aqQv+21UG7ABfYvga4RtLwgrmqNqvtr5cOEUKb/sDsjL+FM4QQJimKQ6GbHAksb/vl0kE66CzgOuAjkr5LunN6XNlIlbpR0k2MG1m8C/C7gnkqJWkb4DRgAeAlYFHgcWD5krkqsnXb56NJK2o+VyZKx8wraQnbTwFIWhyYt3CmSti+q0e/rydL5gmTR9IA4MvAx4ARwEUNauDfv9UYl9Qgff+2x5r0+vM3kra03ZjnulB7L9j+VukQIYT6iYbUoWtIuhHY3vabpbN0Um402hoXfpvtxwtHmma5R8Y7+fPtgfVJ13e37euKhquQpIdJ/aJutb2KpA2B3WzvP4l/GrqApM1J21meyqcWAw6wfVOxUBXppd/XJ4Ha9/tqOklXAe+RtiVtQVrxdejE/1U9SPoGsCXwMrAIsKptS/oYcLHt9YoGrEjuSTcb8A7pazleL7oQ+lqdJ2+GEMqK4lDoGpJWAQYBfyS9yALA9iHFQlVM0pnAVbbvK52lSm2TMS61/YXSeTpF0oO2V89FolVsj5X0gO3aNm7OI9An1qy5MT9/kAqZwLL58IlWUbPu8vfkpj37fdleqWyyMDGSRtj+RP58BtKEx8aMmZa0NjA/cLPtN/K5pYHZbQ8rGi6EhpL0oaY0fA8h9K0mLesN9Xc+cDtpaX2T+vC0GwYcl18cX0cqFD1YOFMVZsqTaNbt0bsGANvXFsjUCSMlzQ7cDVwu6SXSFqw6a33/rQd8HLgqH+8EDC2SqEMkzQocASxqez9JS0laxvZvSmerwHTR76uB3mt9Ynu01KwWIbaH9HLuryWyVE3SsnmqXK/FvCh+hVKiMBRCmFqxcih0DUn32V63dI6+IOlDpJG+uwKL2K71yGlJ6wO7AzsDv+7xsJsy0lfSbMDbpG0Du5Oaxl5u+5WiwSqQm+B+xvZ7+XhG0t3+Dcsmq07ewjMU2NP2CpJmAe63vXLhaNNM0g+BFRm/39cj0Si3u0kaA7zROgRmAd4ktiZ1PUkX2N4//+7sybY36vNQIYQQwjSI4lDoGrlB87PADYy/raxxd0AkrUl687Yt8JjtrSfxT2pB0hdtX1Q6R5hykv4CrNP6eZM0NzDE9jJlk1WnbVvg+/0YJD3clK1XTe73FUK3kjTA9tuTOhdCCCF0u9hWFrrJ5/PHY9rONWqUvaSTge2BvwODgW/bHlk2VXVsXyRpXVKj3xnazl9SLFSF8pvvk4GPkN6AN+nu/g+Ah9rugm8AnFQuTke8m1cLGUDSkrQVousub9+8VtI8pG1lIYTOuw/oubWst3MhhBBCV4viUOgathcvnaEPPE1anfFy6SCdIOlSYElgODAmnzbQiOIQcAqwdRMmzPVke5Ck3wNrkb5mR9t+sXCsqp0E3AgsLOlyUp+lfYommka54e8PgP8C3wYuBeYB+kna0/aNJfOF0FSS5gMWBGbJAzVaDaMGArMWCxZCCCFMpdhWForrrYFxuyY0M55eGldKehz4uBv6i0XSblREQgAAD+tJREFUvU0Zv9wbSdsAn8qHd9m+oWSeTpD0YWBt0hu5IXUv1Ep6EDiW1P/qAmAL20MkLQtcGeOMQ+iMPIRhb2B1xjX2BxgF/LwJr11CCCFMX6I4FIqTNCh/+hFgXdLEMoANgTttT7R4VAfTS+NKSVcDh9h+oXSWTpB0JjAfcD3j98Wq/ZsAST8A1gAuz6d2Ax60fcyE/1W9SLrN9saTOlcnkoa3GmpLetz2cm2PPRTFoRA6S9IOtq8pnSOEEEKYVrGtLBRnex8ASb8hrTp5IR/PD/ykZLaq2N4/f7pFb40rC0TqlHmAxyQ9wPjFk23KRarUQNIkoc+0nTNQ++IQsCWwsu2xAJIuBh5i/B5gtZR/xmYF5smNttu3fyxQLFg1xrZ9/laPx+LuTwgdZvsaSZ8FlgcGtJ3/VrlUIYQQwpSL4lDoJov1WHHyb6Axk5KypjeuPKl0gE5qFTIbbC5S7xpI25Sa4gDgMFIhaCjjikOvUf8C9EqSXiOPQc+fk4+bVHgOoStJOo9UfN4Q+CmwI/BA0VAhhBDCVIjiUOgmd0q6CbiSdMd7V+C2spGqMb00rrR9V+kMnSRpIeBsUiNjA/cAh9p+rmiwanyfcdPKROo9VPtVQwC2zwTOlHSw7bNL56mS7f6lM4QwnVvX9oqSHrH9TUmn0YzVpCGEEKYz0XModBVJ2zGuIe7/gI/aPqhgpEo0vXGlpFH0voWlSaPekXQLcAVpIhTAHsDutjctl2raSRKwEDCa1HdIwB8bOK0MSSsAH2f87R9NmaYXQuhjkh6wvaakIcD2wCvAo7aXKhwthBBCmCJRHApdRdLKwOeBnUlj36+x/eOyqaoTjSvrrb3578TO1ZGkobZXK52jkySdCHyaVBz6HbAFcI/tHUvmCiHUl6TjSStKNyZtUzVwoe0TigYLIYQQplBsKwvFSVqatIVsN9Idt6tIhcsNiwbrgGhcWXsvS9qDtPURxn3PNsEQSWvY/lPpIB20I7AS8JDtfSR9lNQjJIQQppikfsBttkcC1+TBGgNsv1o4WgghhDDF+pUOEALwBOmO29a21889QcYUztQRuXHlLsDBpK07OwGLFg0VpsS+pFVtLwIvkIoN+xZNVJ0NSQWiv0t6RNIISY+UDlWxt/I0ttGSBgIvAUsUzhRCqKn8++S0tuN3ojAUQgihrmLlUOgGO5BWDt0h6UbgF4xr2Nw00biyxmz/A9imdI4O2aJ0gD7woKS5gAtJU8teJ6YKhRCmzc2SdgCudfRqCCGEUGPRcyh0DUmzAduStupsBFwMXGf75qLBKhSNK+tJ0tdsnyLpbHppvG37kAKxKiFpAPBl4GPACOAi26PLpuo8SYsBA203bXVUCKEP5YEMs5FWPL9FwwYxhBBCmH7EyqHQNWy/AVwOXC7pQ6QtV0cDjSkOATfklQs/BIaRG1eWjRQmw+P544MT/Vv1dDHwHvAH0uqhjwOHFk1UMUmrTuwx28P6Mk8IoTlsz1E6QwghhFCFWDkUQh/JjSvXtn1fPp6ZaFxZK5J2sn31pM7ViaQRtj+RP58BeMD2BIspdSTpjok8bNsb9VmYEEKjSBKwO7C47W9LWhiY33ZsWQ0hhFArURwKoQ9Jut/2OqVzhKkjaVjPwklv5+qkZ/66X08IIfQlSecCY4GNbC8naW7gZttrFI4WQgghTJHYVhZC34rGlTUkaQtgS2BBSWe1PTQQqHt/npUkvZY/FzBLPm5c3wxJswJHAIvY3l/SUsAytn9TOFoIob7Wsr2qpIcAbP9P0kylQ4UQQghTKopDIfStI0iNK0dLepsGvgFvqH+R+g1tQ5py1TIKOLxIoorY7l86Qx8aRPr6rZuPnwOuBqI4FEKYWu9J6k8eViBpXtJKohBCCKFWYltZCCFMJkkz2n6vdI4wdSQ9aHt1SQ/ZXiWfe9j2SqWzhRDqSdLuwC7AasDPgR2B4+rciy6EEML0KVYOhdCHJN1me+NJnQtdazFJ3ydN9BrQOml7iXKRwhR4V9IsjLvDvyTwTtlIIYQ6s325pKFA63l8W9uPT+zfhBBCCN0oikMh9AFJA4BZgXlys0rlhwYCCxQLFqbUIOBE4AxgQ2Afxn0tQ/c7EbgRWFjS5cB6wN5FE4UQmmBWoLW1bJbCWUIIIYSpEtvKQugDkg4FDiMVgp5nXEHhNeBC2z8ulS1MPklDba/WY/z7H2x/snS2MHkkfRhYm/QzOMT2y4UjhRBqTNIJwE7ANaTfK9sCV9v+TtFgIYQQwhSK4lAIfUjSwbbPLp0jTB1J9wKfBH4J3E4q9P3A9jJFg4WpImkZ4Ejb+5XOEkKoJ0mPA6vYfjsfzwIMs71c2WQhhBDClOlXOkAI05kXJc0BIOk4SddKWrV0qDDZDiNtHziE1Hz0C8BeRROFSZK0oqSbJT0q6TuSPirpGuA24LHS+UIItfYMbT3ogJmBv5eJEkIIIUy9WDkUQh+S9IjtFSWtD3wfOBU41vZahaOF0FiS/gicC9wPbA58DbgCOL51tz+EEKaGpOuBNYBb8qlNgHuAlwBsH1IoWgghhDBFojgUQh9qjdDOE69G2L6ifax26G6SVge+ASxKW0N/2ysWCxUmSdJw2yu3Hf8TWMz2mIKxQggNIOkrpOeDscAY4K32x21fXCJXCCGEMKViWlkIfet5SeeT7iyeLGlmYntnnVwOHAWMIL0RCPUwQNIqjGsE/zqwoiQB2B5WLFkIoZYkzQB8D9gXeJb0XL4waarlsbbfKxgvhBBCmGKxciiEPiRpVtK2lhG2n5Q0P/AJ2zcXjhYmg6R7bK9fOkeYMpLumMjDtr1Rn4UJITSCpDOAOYDDbY/K5waStou/afuwkvlCCCGEKRXFoRD6gKSBtl+T9KHeHrf9377OFKacpI2B3UiNjN9pnbd9bbFQYbJJGtCzx1Bv50IIYVIkPQks7R4vpCX1B56wvVSZZCGEEMLUiW1lIfSNK4CtgKGAGbe9hXy8RIlQYYrtAywLzMi4bWUGojhUD/cBPacD9nYuhBAmxT0LQ/nkGElx5zWEEELtRHEohD5ge6v8cfHSWcI0Wcn2J0qHCFNG0nzAgsAsPXoPDQRmLRYshFBnj0na0/Yl7Scl7QE8UShTCCGEMNWiOBRCH5O0IB+cdnV3uURhCgyR9HHbj5UOEqbIZsDewELAaYwrDr0GHFsoUwih3g4CrpW0L+NWBa8BzAJsVzJYCCGEMDWi51AIfUjSycAuwGOkkbeQlqZvUy5VmFySHgeWBJ4m9RwS6esXo+xrQNIOtq8pnSOE0BySNgKWJz0f/Nn2bYUjhRBCCFMlikMh9CFJfwFWtP3OJP9y6DqSFu3tvO1n+zpLmHKSvgecYntkPp4b+D/bx5VNFkIIIYQQQln9SgcIYTrzFKmZcagZSf2A39p+tuef0tnCZNuiVRgCsP0/YMuCeUIIIYQQQugK0XMohL71JjBcUs9R6IeUixQmh+2xkh6WtIjtf5TOE6ZKf0kzt1buSZoFmLlwphBCCCGEEIqL4lAIfevX+U+op/mBP0t6AHijdTJ6RtXGZcBtkgaRmsfuC1xcNlIIIYQQQgjlRc+hEEKYTJI26O287bv6OkuYOpK2ADYmNY+92fZNhSOFEEIIIYRQXBSHQugDkgbb3lnSCNKKhfHEtKv6kPRR0rhigAdsv1QyTwghhBBCCCFMqygOhdAHJM1v+4WYdlVvknYGfgjcSVp58kngKNu/LJkrTB5JoxhXnJ2J1Bz+DdsDy6UKIYQQQgihvCgOhVCApIG09fyy/d+CccJkkvQwsGlrtZCkeYFbba9UNlmYGpK2Bda0fWzpLCGEEEIIIZQUo+xD6EOSDpD0b+ARYGj+82DZVGEK9OuxjewV4vdobdm+HtiodI4QQgghhBBKi2llIfStI4Hlbb9cOkiYKjdKugm4Mh/vAvyuYJ4wBSRt33bYD1idXnqAhRBCCCGEML2J4lAIfevvwJulQ4QpI2lm2+/YPioXGNYn9Ry6wPZ1heOFybd12+ejgWeAz5WJEkIIIYQQQveInkMh9CFJqwCDgD8C77TO2z6kWKgwSZKG2V5V0qW2v1A6TwghhBBCCCFUKVYOhdC3zgduB0YAYwtnCZNvJkl7Aev22JoEgO1rC2QKk0nS2Uxk+1gUZ0MIIYQQwvQuikMh9K3Rto8oHSJMsS8DuwNzMf7WJEhFhygOdbdW0/f1gI8DV+XjnUhN4UMIIYQQQpiuxbayEPqQpO8CzwI3MP62shhlXwOSvmj7otI5wtSRdAfwGdvv5eMZgZttb1g2WQghhBBCCP/f3t2D2FWFURh+V7RQxBhFNKn8Cwr+EZRoMqghSWVhiIh/pZ2FaCNIOjvTi5WkiCKSIqSxURAjCoYBiWSCmiKEVEmjjWgTx8/inMGRDHgzwtln7nmfap89zWrmFov97d2W5ZA0oCQX1tiuqrp38DBalyQLwN2sOnlZVR81C6SZJTkH7F4pY5PcCpyqqgfaJpMkSZLacqxMGlBV3dM6g9YvycfAfcAPwHK/XYDl0MZwGDjdnyAC2AO82y6OJEmSNA6eHJIGsNYlxqt5ofHGkOQn4MHyh3PDSrIVeJKu1FusqsuNI0mSJEnNeXJIGsbKJcZ3AAt0L5YB7AVO4oXGG8VZYCtwqXUQrdsTwNP9uuju/5IkSZImzXJIGkBVvQaQ5DO6kyeX+u9twActs+ma3A78mGSRf18ofqBdJM0qyWFgJ/BJv/VmkoWqOtQwliRJktScY2XSgJKcraqHV31vApaq6qGGsTSjJHvW2q+qr4fOomuX5Aywo6r+6r+vA05X1aNtk0mSJElteXJIGtbJJJ8Dn9KNtLwCfNk2kmZlCTQXtgC/9utbWgaRJEmSxsJySBpQVb2R5HngmX7rO+DOhpE0gyS/0ZV5V/0JqKraPHAkrc97/PNaWej+Dx0pkyRJ0uRZDknDuwDsBl7q18fbxtF/qaqbW2fQ/5MkwLfALrp7hwK842tlkiRJkncOSYNIcj/dCNmrwC/AMeDtqrqraTBpQpJ8X1WPt84hSZIkjc2m1gGkifgZ2A88V1VPVdX7wHLjTNLUnEqys3UISZIkaWwsh6RhvABcBr5K8mGS/XRjLZKGs5euIDqf5EySpf4FM0mSJGnSHCuTBpTkJuAg3XjZPuAocKKqvmgaTJqAJGuOcVbVxaGzSJIkSWNiOSQ1kuQ24EXg5ara1zqPNK+S3AC8DmwHloAjVfVn21SSJEnSeFgOSZLmWpJjwBXgG+BZ4GJVvdU2lSRJkjQelkOSpLmWZKmqHunX1wOLVfVY41iSJEnSaHghtSRp3l1ZWThOJkmSJF3Nk0OSpLmWZBn4feUTuBH4o19XVW1ulU2SJEkaA8shSZIkSZKkCXOsTJIkSZIkacIshyRJkiRJkibMckiSJEmSJGnCLIckSZIkSZImzHJIkiRJkiRpwv4GD9uJPzl1Q5gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.heatmap(df.corr(),annot=True,linewidths=.05);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4 Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Administrative</th>\n",
       "      <th>Administrative_Duration</th>\n",
       "      <th>Informational</th>\n",
       "      <th>Informational_Duration</th>\n",
       "      <th>ProductRelated</th>\n",
       "      <th>ProductRelated_Duration</th>\n",
       "      <th>BounceRates</th>\n",
       "      <th>ExitRates</th>\n",
       "      <th>PageValues</th>\n",
       "      <th>SpecialDay</th>\n",
       "      <th>...</th>\n",
       "      <th>Month_Jul</th>\n",
       "      <th>Month_June</th>\n",
       "      <th>Month_Mar</th>\n",
       "      <th>Month_May</th>\n",
       "      <th>Month_Nov</th>\n",
       "      <th>Month_Oct</th>\n",
       "      <th>Month_Sep</th>\n",
       "      <th>VisitorType_New_Visitor</th>\n",
       "      <th>VisitorType_Other</th>\n",
       "      <th>VisitorType_Returning_Visitor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>2.666667</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10</td>\n",
       "      <td>627.500000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19</td>\n",
       "      <td>154.216667</td>\n",
       "      <td>0.015789</td>\n",
       "      <td>0.024561</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>738.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022222</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Administrative  Administrative_Duration  Informational  \\\n",
       "0               0                      0.0              0   \n",
       "1               0                      0.0              0   \n",
       "2               0                      0.0              0   \n",
       "3               0                      0.0              0   \n",
       "4               0                      0.0              0   \n",
       "5               0                      0.0              0   \n",
       "6               0                      0.0              0   \n",
       "7               1                      0.0              0   \n",
       "8               0                      0.0              0   \n",
       "9               0                      0.0              0   \n",
       "\n",
       "   Informational_Duration  ProductRelated  ProductRelated_Duration  \\\n",
       "0                     0.0               1                 0.000000   \n",
       "1                     0.0               2                64.000000   \n",
       "2                     0.0               1                 0.000000   \n",
       "3                     0.0               2                 2.666667   \n",
       "4                     0.0              10               627.500000   \n",
       "5                     0.0              19               154.216667   \n",
       "6                     0.0               1                 0.000000   \n",
       "7                     0.0               0                 0.000000   \n",
       "8                     0.0               2                37.000000   \n",
       "9                     0.0               3               738.000000   \n",
       "\n",
       "   BounceRates  ExitRates  PageValues  SpecialDay  \\\n",
       "0     0.200000   0.200000         0.0         0.0   \n",
       "1     0.000000   0.100000         0.0         0.0   \n",
       "2     0.200000   0.200000         0.0         0.0   \n",
       "3     0.050000   0.140000         0.0         0.0   \n",
       "4     0.020000   0.050000         0.0         0.0   \n",
       "5     0.015789   0.024561         0.0         0.0   \n",
       "6     0.200000   0.200000         0.0         0.4   \n",
       "7     0.200000   0.200000         0.0         0.0   \n",
       "8     0.000000   0.100000         0.0         0.8   \n",
       "9     0.000000   0.022222         0.0         0.4   \n",
       "\n",
       "               ...                Month_Jul  Month_June  Month_Mar  Month_May  \\\n",
       "0              ...                        0           0          0          0   \n",
       "1              ...                        0           0          0          0   \n",
       "2              ...                        0           0          0          0   \n",
       "3              ...                        0           0          0          0   \n",
       "4              ...                        0           0          0          0   \n",
       "5              ...                        0           0          0          0   \n",
       "6              ...                        0           0          0          0   \n",
       "7              ...                        0           0          0          0   \n",
       "8              ...                        0           0          0          0   \n",
       "9              ...                        0           0          0          0   \n",
       "\n",
       "   Month_Nov  Month_Oct  Month_Sep  VisitorType_New_Visitor  \\\n",
       "0          0          0          0                        0   \n",
       "1          0          0          0                        0   \n",
       "2          0          0          0                        0   \n",
       "3          0          0          0                        0   \n",
       "4          0          0          0                        0   \n",
       "5          0          0          0                        0   \n",
       "6          0          0          0                        0   \n",
       "7          0          0          0                        0   \n",
       "8          0          0          0                        0   \n",
       "9          0          0          0                        0   \n",
       "\n",
       "   VisitorType_Other  VisitorType_Returning_Visitor  \n",
       "0                  0                              1  \n",
       "1                  0                              1  \n",
       "2                  0                              1  \n",
       "3                  0                              1  \n",
       "4                  0                              1  \n",
       "5                  0                              1  \n",
       "6                  0                              1  \n",
       "7                  0                              1  \n",
       "8                  0                              1  \n",
       "9                  0                              1  \n",
       "\n",
       "[10 rows x 29 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#One hot encoding\n",
    "df1 = pd.get_dummies(df)\n",
    "\n",
    "df1.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of x:  (12330, 28)\n",
      "Shape of y:  (12330,)\n"
     ]
    }
   ],
   "source": [
    "#getting dependent and independent varables\n",
    "x = df1\n",
    "#removing the target column revenue from x\n",
    "x = x.drop(['Revenue'],axis = 1)\n",
    "\n",
    "#fixing target variable\n",
    "y = df['Revenue']\n",
    "\n",
    "#checking the shapes\n",
    "print(\"Shape of x: \",x.shape)\n",
    "print(\"Shape of y: \",y.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4> Splitting of the Data </h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Shape of x_train : (8631, 28)\n",
      "Shape of y_train : (8631,)\n",
      "Shape of x_test : (3699, 28)\n",
      "Shape of y_test : (3699,)\n"
     ]
    }
   ],
   "source": [
    "# splitting the data\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.3, random_state = 0)\n",
    "\n",
    "# checking the shapes\n",
    "\n",
    "print(\"Shape of x_train :\", x_train.shape)\n",
    "print(\"Shape of y_train :\", y_train.shape)\n",
    "print(\"Shape of x_test :\", x_test.shape)\n",
    "print(\"Shape of y_test :\", y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5 Data Modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "# Function for calculating accuracy\n",
    "def accuracy(y_test,y_pred):\n",
    "    result = confusion_matrix(y_pred,y_test)\n",
    "    acc = ((result[0][0]+result[1][1])/(len(y_test)))*100\n",
    "    return acc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "   # 5.1 Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Building Logistic Regression\n",
      "\n",
      " Confusion Matrix \n",
      " [[3003  387]\n",
      " [  74  235]]\n",
      "\n",
      " Accuracy of Logistic Regression:  87.53717220870506\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(\"\\n Building Logistic Regression\")\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "lr = LogisticRegression()\n",
    "model_lr = lr.fit(x_train,y_train)\n",
    "y_pred_lr = model_lr.predict(x_test)\n",
    "\n",
    "#Evaluating model\n",
    "print('\\n Confusion Matrix \\n',confusion_matrix(y_pred_lr,y_test))\n",
    "print(\"\\n Accuracy of Logistic Regression: \",accuracy(y_test,y_pred_lr))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5.2 Naive Bayes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Confusion Matrix \n",
      " [[2540  239]\n",
      " [ 537  383]]\n",
      "\n",
      " Accuracy of Logistic Regression:  79.0213571235469\n"
     ]
    }
   ],
   "source": [
    "from sklearn.naive_bayes import GaussianNB\n",
    "nb=GaussianNB()\n",
    "model_nb=nb.fit(x_train,y_train)\n",
    "\n",
    "\n",
    "#Evaluating model\n",
    "y_pred_nb=model_nb.predict(x_test)\n",
    "print('\\n Confusion Matrix \\n',confusion_matrix(y_pred_nb,y_test))\n",
    "print(\"\\n Accuracy of Logistic Regression: \",accuracy(y_test,y_pred_nb))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5.3 Random Forest Classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Confusion Matrix \n",
      " [[2975  303]\n",
      " [ 102  319]]\n",
      "\n",
      " Accuracy of SVM:  89.05109489051095\n"
     ]
    }
   ],
   "source": [
    "# MODELLING\n",
    "\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "\n",
    "model = RandomForestClassifier()\n",
    "model.fit(x_train, y_train)\n",
    "\n",
    "y_pred_rf = model.predict(x_test)\n",
    "\n",
    "# evaluating the model\n",
    "\n",
    "print('\\n Confusion Matrix \\n',confusion_matrix(y_pred_rf,y_test))\n",
    "print(\"\\n Accuracy of SVM: \",accuracy(y_test,y_pred_rf))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5.4 Support Vector Machine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Building Support Vector Machine\n",
      "\n",
      " Done\n",
      "\n",
      " Confusion Matrix \n",
      " [[3077  622]\n",
      " [   0    0]]\n",
      "\n",
      " Accuracy of SVM:  83.18464449851312\n"
     ]
    }
   ],
   "source": [
    "print(\"\\n Building Support Vector Machine\")\n",
    "\n",
    "from sklearn.svm import SVC\n",
    "svc = SVC()\n",
    "model = svc.fit(x_train,y_train)\n",
    "y_pred_svc = model.predict(x_test)\n",
    "print(\"\\n Done\")\n",
    "\n",
    "# evaluating the model\n",
    "\n",
    "print('\\n Confusion Matrix \\n',confusion_matrix(y_pred_svc,y_test))\n",
    "print(\"\\n Accuracy of SVM: \",accuracy(y_test,y_pred_svc))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5.5 Neural Network Approach"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ImRaN\\Anaconda3\\lib\\site-packages\\h5py\\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training The Model\n",
      "WARNING:tensorflow:From C:\\Users\\ImRaN\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "WARNING:tensorflow:From C:\\Users\\ImRaN\\Anaconda3\\lib\\site-packages\\keras\\backend\\tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.\n",
      "WARNING:tensorflow:From C:\\Users\\ImRaN\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\ops\\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "Epoch 1/100\n",
      " - 1s - loss: 2.3813 - acc: 0.8476\n",
      "Epoch 2/100\n",
      " - 1s - loss: 2.3922 - acc: 0.8469\n",
      "Epoch 3/100\n",
      " - 1s - loss: 2.2599 - acc: 0.8574\n",
      "Epoch 4/100\n",
      " - 1s - loss: 2.2087 - acc: 0.8580\n",
      "Epoch 5/100\n",
      " - 1s - loss: 2.1804 - acc: 0.8629\n",
      "Epoch 6/100\n",
      " - 1s - loss: 1.9470 - acc: 0.8732\n",
      "Epoch 7/100\n",
      " - 1s - loss: 2.0228 - acc: 0.8719\n",
      "Epoch 8/100\n",
      " - 1s - loss: 2.0570 - acc: 0.8687\n",
      "Epoch 9/100\n",
      " - 1s - loss: 2.7684 - acc: 0.8223\n",
      "Epoch 10/100\n",
      " - 1s - loss: 3.5346 - acc: 0.7741\n",
      "Epoch 11/100\n",
      " - 1s - loss: 2.3910 - acc: 0.8515\n",
      "Epoch 12/100\n",
      " - 1s - loss: 2.1247 - acc: 0.8671\n",
      "Epoch 13/100\n",
      " - 1s - loss: 2.1497 - acc: 0.8646\n",
      "Epoch 14/100\n",
      " - 1s - loss: 2.1187 - acc: 0.8655\n",
      "Epoch 15/100\n",
      " - 1s - loss: 2.0814 - acc: 0.8670\n",
      "Epoch 16/100\n",
      " - 1s - loss: 2.0185 - acc: 0.8705\n",
      "Epoch 17/100\n",
      " - 1s - loss: 2.0565 - acc: 0.8662\n",
      "Epoch 18/100\n",
      " - 1s - loss: 1.8768 - acc: 0.8774\n",
      "Epoch 19/100\n",
      " - 1s - loss: 1.9420 - acc: 0.8723\n",
      "Epoch 20/100\n",
      " - 1s - loss: 2.0106 - acc: 0.8692\n",
      "Epoch 21/100\n",
      " - 1s - loss: 1.8773 - acc: 0.8766\n",
      "Epoch 22/100\n",
      " - 1s - loss: 1.7786 - acc: 0.8818\n",
      "Epoch 23/100\n",
      " - 1s - loss: 1.4214 - acc: 0.8730\n",
      "Epoch 24/100\n",
      " - 1s - loss: 0.5097 - acc: 0.8694\n",
      "Epoch 25/100\n",
      " - 1s - loss: 0.4096 - acc: 0.8714\n",
      "Epoch 26/100\n",
      " - 1s - loss: 0.3795 - acc: 0.8671\n",
      "Epoch 27/100\n",
      " - 1s - loss: 0.3530 - acc: 0.8710\n",
      "Epoch 28/100\n",
      " - 1s - loss: 0.3499 - acc: 0.8745\n",
      "Epoch 29/100\n",
      " - 1s - loss: 0.3437 - acc: 0.8754\n",
      "Epoch 30/100\n",
      " - 1s - loss: 0.3310 - acc: 0.8752\n",
      "Epoch 31/100\n",
      " - 1s - loss: 0.3276 - acc: 0.8744\n",
      "Epoch 32/100\n",
      " - 1s - loss: 0.3135 - acc: 0.8795\n",
      "Epoch 33/100\n",
      " - 1s - loss: 0.3112 - acc: 0.8753\n",
      "Epoch 34/100\n",
      " - 1s - loss: 0.3034 - acc: 0.8807\n",
      "Epoch 35/100\n",
      " - 1s - loss: 0.3097 - acc: 0.8779\n",
      "Epoch 36/100\n",
      " - 1s - loss: 0.3033 - acc: 0.8833\n",
      "Epoch 37/100\n",
      " - 1s - loss: 0.3007 - acc: 0.8834\n",
      "Epoch 38/100\n",
      " - 1s - loss: 0.2991 - acc: 0.8822\n",
      "Epoch 39/100\n",
      " - 1s - loss: 0.3021 - acc: 0.8803\n",
      "Epoch 40/100\n",
      " - 1s - loss: 0.2885 - acc: 0.8816\n",
      "Epoch 41/100\n",
      " - 1s - loss: 0.2803 - acc: 0.8880\n",
      "Epoch 42/100\n",
      " - 1s - loss: 0.3021 - acc: 0.8825\n",
      "Epoch 43/100\n",
      " - 1s - loss: 0.2831 - acc: 0.8843\n",
      "Epoch 44/100\n",
      " - 1s - loss: 0.2759 - acc: 0.8858\n",
      "Epoch 45/100\n",
      " - 1s - loss: 0.2793 - acc: 0.8868\n",
      "Epoch 46/100\n",
      " - 1s - loss: 0.2721 - acc: 0.8882\n",
      "Epoch 47/100\n",
      " - 1s - loss: 0.2696 - acc: 0.8873\n",
      "Epoch 48/100\n",
      " - 1s - loss: 0.2742 - acc: 0.8869\n",
      "Epoch 49/100\n",
      " - 1s - loss: 0.2865 - acc: 0.8874\n",
      "Epoch 50/100\n",
      " - 1s - loss: 0.2731 - acc: 0.8881\n",
      "Epoch 51/100\n",
      " - 1s - loss: 0.2653 - acc: 0.8897\n",
      "Epoch 52/100\n",
      " - 1s - loss: 0.2757 - acc: 0.8862\n",
      "Epoch 53/100\n",
      " - 1s - loss: 0.2650 - acc: 0.8884\n",
      "Epoch 54/100\n",
      " - 1s - loss: 0.2658 - acc: 0.8881\n",
      "Epoch 55/100\n",
      " - 1s - loss: 0.2629 - acc: 0.8875\n",
      "Epoch 56/100\n",
      " - 1s - loss: 0.2635 - acc: 0.8916\n",
      "Epoch 57/100\n",
      " - 1s - loss: 0.2590 - acc: 0.8920\n",
      "Epoch 58/100\n",
      " - 1s - loss: 0.2564 - acc: 0.8898\n",
      "Epoch 59/100\n",
      " - 1s - loss: 0.2591 - acc: 0.8906\n",
      "Epoch 60/100\n",
      " - 1s - loss: 0.2581 - acc: 0.8883\n",
      "Epoch 61/100\n",
      " - 1s - loss: 0.2544 - acc: 0.8914\n",
      "Epoch 62/100\n",
      " - 1s - loss: 0.2536 - acc: 0.8941\n",
      "Epoch 63/100\n",
      " - 1s - loss: 0.2516 - acc: 0.8945\n",
      "Epoch 64/100\n",
      " - 1s - loss: 0.2586 - acc: 0.8933\n",
      "Epoch 65/100\n",
      " - 1s - loss: 0.2495 - acc: 0.8954\n",
      "Epoch 66/100\n",
      " - 1s - loss: 0.2472 - acc: 0.8946\n",
      "Epoch 67/100\n",
      " - 1s - loss: 0.2471 - acc: 0.8940\n",
      "Epoch 68/100\n",
      " - 1s - loss: 0.2461 - acc: 0.8969\n",
      "Epoch 69/100\n",
      " - 1s - loss: 0.2513 - acc: 0.8938\n",
      "Epoch 70/100\n",
      " - 1s - loss: 0.2535 - acc: 0.8973\n",
      "Epoch 71/100\n",
      " - 1s - loss: 0.2500 - acc: 0.8926\n",
      "Epoch 72/100\n",
      " - 1s - loss: 0.2475 - acc: 0.8938\n",
      "Epoch 73/100\n",
      " - 1s - loss: 0.2495 - acc: 0.8910\n",
      "Epoch 74/100\n",
      " - 1s - loss: 0.2456 - acc: 0.8969\n",
      "Epoch 75/100\n",
      " - 1s - loss: 0.2488 - acc: 0.8911\n",
      "Epoch 76/100\n",
      " - 1s - loss: 0.2414 - acc: 0.8941\n",
      "Epoch 77/100\n",
      " - 1s - loss: 0.2546 - acc: 0.8926\n",
      "Epoch 78/100\n",
      " - 1s - loss: 0.2473 - acc: 0.8954\n",
      "Epoch 79/100\n",
      " - 1s - loss: 0.2441 - acc: 0.8963\n",
      "Epoch 80/100\n",
      " - 1s - loss: 0.2458 - acc: 0.8967\n",
      "Epoch 81/100\n",
      " - 1s - loss: 0.2419 - acc: 0.8954\n",
      "Epoch 82/100\n",
      " - 1s - loss: 0.2422 - acc: 0.8942\n",
      "Epoch 83/100\n",
      " - 1s - loss: 0.2501 - acc: 0.8933\n",
      "Epoch 84/100\n",
      " - 1s - loss: 0.2452 - acc: 0.8910\n",
      "Epoch 85/100\n",
      " - 1s - loss: 0.2413 - acc: 0.8950\n",
      "Epoch 86/100\n",
      " - 1s - loss: 0.2450 - acc: 0.8910\n",
      "Epoch 87/100\n",
      " - 1s - loss: 0.2399 - acc: 0.8938\n",
      "Epoch 88/100\n",
      " - 1s - loss: 0.2437 - acc: 0.8935\n",
      "Epoch 89/100\n",
      " - 1s - loss: 0.2452 - acc: 0.8939\n",
      "Epoch 90/100\n",
      " - 1s - loss: 0.2375 - acc: 0.8985\n",
      "Epoch 91/100\n",
      " - 1s - loss: 0.2424 - acc: 0.8989\n",
      "Epoch 92/100\n",
      " - 1s - loss: 0.2426 - acc: 0.8957\n",
      "Epoch 93/100\n",
      " - 1s - loss: 0.2484 - acc: 0.8941\n",
      "Epoch 94/100\n",
      " - 1s - loss: 0.2399 - acc: 0.8957\n",
      "Epoch 95/100\n",
      " - 1s - loss: 0.2431 - acc: 0.8929\n",
      "Epoch 96/100\n",
      " - 1s - loss: 0.2449 - acc: 0.8958\n",
      "Epoch 97/100\n",
      " - 1s - loss: 0.2458 - acc: 0.8943\n",
      "Epoch 98/100\n",
      " - 1s - loss: 0.2410 - acc: 0.8986\n",
      "Epoch 99/100\n",
      " - 1s - loss: 0.2431 - acc: 0.8946\n",
      "Epoch 100/100\n",
      " - 1s - loss: 0.2356 - acc: 0.8972\n",
      "\n",
      " Done\n"
     ]
    }
   ],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dropout\n",
    "from keras.layers import Dense\n",
    "\n",
    "print(\"Training The Model\")\n",
    "classifier = Sequential()\n",
    "\n",
    "#input layer\n",
    "classifier.add(Dense(units = 128,activation = 'relu',input_dim = 28))\n",
    "classifier.add(Dropout(0.15))\n",
    "\n",
    "#First hidden layer\n",
    "classifier.add(Dense(units = 128, activation = 'relu'))\n",
    "classifier.add(Dropout(0.20))\n",
    "\n",
    "#second hidden layer\n",
    "classifier.add(Dense(units = 128,activation = 'relu'))\n",
    "classifier.add(Dropout(0.20))\n",
    "\n",
    "\n",
    "#output layer\n",
    "classifier.add(Dense(units = 1,activation = 'sigmoid'))\n",
    "classifier.compile(optimizer = 'adam',loss = 'binary_crossentropy',metrics = ['accuracy'])\n",
    "\n",
    "#fitting the data into model\n",
    "classifier.fit(x_train,y_train,batch_size = 32,epochs = 100,verbose = 2)\n",
    "print(\"\\n Done\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Confusion Matrix \n",
      " [[2937  286]\n",
      " [ 140  336]]\n",
      "\n",
      " Accurary of Neural Network:  88.48337388483374\n"
     ]
    }
   ],
   "source": [
    "#Evaluating the NN model\n",
    "y_pred_nn = classifier.predict_classes(x_test)\n",
    "print('\\n Confusion Matrix \\n',confusion_matrix(y_pred_nn,y_test))\n",
    "print('\\n Accurary of Neural Network: ',accuracy(y_test,y_pred_nn))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                Model  Accuracy\n",
      "0  LogisticRegression    87.540\n",
      "1         Naive Bayes    87.537\n",
      "2        RandomForest    89.024\n",
      "3                 SVC    83.180\n",
      "4       NeuralNetwork    88.480\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data= [['LogisticRegression',87.54],['Naive Bayes',87.537],['RandomForest',89.024],['SVC',83.18],['NeuralNetwork',88.48]]\n",
    "accuracy_compare = pd.DataFrame(data, columns = ['Model', 'Accuracy'])\n",
    "print(accuracy_compare)\n",
    "sns.barplot(x=accuracy_compare['Model'],y=accuracy_compare['Accuracy'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}