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handbag_data/github_datasets/Pursearch/tutorials/Handbag_Recommendation.ipynb

2934 lines

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-06T15:37:52.081683Z",
     "start_time": "2020-02-06T15:37:51.938828Z"
    }
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "from torch.optim import lr_scheduler\n",
    "import numpy as np\n",
    "import torchvision\n",
    "from torchvision import datasets, models, transforms\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import random\n",
    "\n",
    "import pandas as pd\n",
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "\n",
    "import requests\n",
    "from io import BytesIO\n",
    "from PIL import Image\n",
    "\n",
    "import seaborn as sr\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check My Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the recommendation part, we collect handbag information from Saks Fifth Evenue and Shein. <br>\n",
    "\n",
    "Before we start the similarity analysis. Let's first take a loot at our handbag data for recommendatation:\n",
    "1. **Saks Fifth Avenue**: A retailer for selling products from lucxury and designed brands.\n",
    "2. **Shein**: A on-line retailer for selling cheap clothes, handbags."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Saks Fifth Avenue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T23:45:47.284832Z",
     "start_time": "2020-02-05T23:45:47.203959Z"
    }
   },
   "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>page</th>\n",
       "      <th>product</th>\n",
       "      <th>brand</th>\n",
       "      <th>price</th>\n",
       "      <th>image</th>\n",
       "      <th>type</th>\n",
       "      <th>price_level</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.saksfifthavenue.com/saks-fifth-ave...</td>\n",
       "      <td>PVC Grid Pattern Logo Shopper</td>\n",
       "      <td>Saks Fifth Avenue</td>\n",
       "      <td>$75.00</td>\n",
       "      <td>https://image.s5a.com/is/image/saks/0400010191...</td>\n",
       "      <td>tote_bags</td>\n",
       "      <td>less 250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.saksfifthavenue.com/gucci-gg-supre...</td>\n",
       "      <td>GG Supreme Tote</td>\n",
       "      <td>Gucci</td>\n",
       "      <td>$890.00</td>\n",
       "      <td>https://image.s5a.com/is/image/saks/0400099800...</td>\n",
       "      <td>tote_bags</td>\n",
       "      <td>less 1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.saksfifthavenue.com/saks-fifth-ave...</td>\n",
       "      <td>Calendar PVC Shopper</td>\n",
       "      <td>Saks Fifth Avenue</td>\n",
       "      <td>$75.00</td>\n",
       "      <td>https://image.s5a.com/is/image/saks/0400010191...</td>\n",
       "      <td>tote_bags</td>\n",
       "      <td>less 250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.saksfifthavenue.com/mcm-large-liz-...</td>\n",
       "      <td>Large Liz Reversible Visetos Shopper</td>\n",
       "      <td>MCM</td>\n",
       "      <td>$725.00</td>\n",
       "      <td>https://image.s5a.com/is/image/saks/0400090165...</td>\n",
       "      <td>tote_bags</td>\n",
       "      <td>less 750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.saksfifthavenue.com/tory-burch-ell...</td>\n",
       "      <td>Ella Nylon Tote</td>\n",
       "      <td>Tory Burch</td>\n",
       "      <td>$198.00</td>\n",
       "      <td>https://image.s5a.com/is/image/saks/0400011415...</td>\n",
       "      <td>tote_bags</td>\n",
       "      <td>less 250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                page  \\\n",
       "0  https://www.saksfifthavenue.com/saks-fifth-ave...   \n",
       "1  https://www.saksfifthavenue.com/gucci-gg-supre...   \n",
       "2  https://www.saksfifthavenue.com/saks-fifth-ave...   \n",
       "3  https://www.saksfifthavenue.com/mcm-large-liz-...   \n",
       "4  https://www.saksfifthavenue.com/tory-burch-ell...   \n",
       "\n",
       "                                product              brand    price  \\\n",
       "0         PVC Grid Pattern Logo Shopper  Saks Fifth Avenue   $75.00   \n",
       "1                       GG Supreme Tote              Gucci  $890.00   \n",
       "2                  Calendar PVC Shopper  Saks Fifth Avenue   $75.00   \n",
       "3  Large Liz Reversible Visetos Shopper                MCM  $725.00   \n",
       "4                       Ella Nylon Tote         Tory Burch  $198.00   \n",
       "\n",
       "                                               image       type price_level  \n",
       "0  https://image.s5a.com/is/image/saks/0400010191...  tote_bags    less 250  \n",
       "1  https://image.s5a.com/is/image/saks/0400099800...  tote_bags   less 1000  \n",
       "2  https://image.s5a.com/is/image/saks/0400010191...  tote_bags    less 250  \n",
       "3  https://image.s5a.com/is/image/saks/0400090165...  tote_bags    less 750  \n",
       "4  https://image.s5a.com/is/image/saks/0400011415...  tote_bags    less 250  "
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "saks_data = pd.read_csv(\"../data/sim/shop_bag_index_final.csv\")\n",
    "saks_data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T21:52:43.601437Z",
     "start_time": "2020-01-30T21:52:43.594258Z"
    }
   },
   "outputs": [],
   "source": [
    "saks_data_grouped = saks_data.groupby(\"brand\").size().to_frame(\"size\")\n",
    "saks_data_grouped.sort_values(\"size\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T21:54:08.511276Z",
     "start_time": "2020-01-30T21:54:08.504350Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((100, 1), (2344, 7))"
      ]
     },
     "execution_count": 348,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### the number of brands & the number of bags\n",
    "saks_data_grouped.shape, saks_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T21:57:04.979909Z",
     "start_time": "2020-01-30T21:57:04.568174Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=[4,6])\n",
    "plt.barh(saks_data_grouped.index[-15:], list(saks_data_grouped[\"size\"])[-15:])\n",
    "plt.xlabel(\"Number\", fontsize=12)\n",
    "plt.xticks(size=10)\n",
    "plt.yticks(size=12)\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"graphs/saks_brands.png\", dpi=300);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Shein"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T23:45:52.545138Z",
     "start_time": "2020-02-05T23:45:52.499792Z"
    }
   },
   "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>page</th>\n",
       "      <th>product</th>\n",
       "      <th>brand</th>\n",
       "      <th>price</th>\n",
       "      <th>image</th>\n",
       "      <th>type</th>\n",
       "      <th>price_level</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://us.shein.com/Geometric-Decor-Quilted-C...</td>\n",
       "      <td>Geometric Decor Quilted Chain Bag</td>\n",
       "      <td>shein</td>\n",
       "      <td>less $50</td>\n",
       "      <td>http://img.ltwebstatic.com/images3_pi/2019/12/...</td>\n",
       "      <td>shein_crossbody</td>\n",
       "      <td>less 50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://us.shein.com/Croc-Embossed-Chain-Cross...</td>\n",
       "      <td>Croc Embossed Chain Crossbody Bag</td>\n",
       "      <td>shein</td>\n",
       "      <td>less $50</td>\n",
       "      <td>http://img.ltwebstatic.com/images3_pi/2019/11/...</td>\n",
       "      <td>shein_crossbody</td>\n",
       "      <td>less 50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://us.shein.com/Chain-Decor-Quilted-Cross...</td>\n",
       "      <td>Chain Decor Quilted Crossbody Bag</td>\n",
       "      <td>shein</td>\n",
       "      <td>less $50</td>\n",
       "      <td>http://img.ltwebstatic.com/images3_pi/2019/11/...</td>\n",
       "      <td>shein_crossbody</td>\n",
       "      <td>less 50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://us.shein.com/Croc-Embossed-Heart-Shape...</td>\n",
       "      <td>Croc Embossed Heart Shaped Chain Bag</td>\n",
       "      <td>shein</td>\n",
       "      <td>less $50</td>\n",
       "      <td>http://img.ltwebstatic.com/images3_pi/2019/12/...</td>\n",
       "      <td>shein_crossbody</td>\n",
       "      <td>less 50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://us.shein.com/Quilted-Flap-Twist-Lock-C...</td>\n",
       "      <td>Quilted Flap Twist Lock Chain Bag</td>\n",
       "      <td>shein</td>\n",
       "      <td>less $50</td>\n",
       "      <td>http://img.ltwebstatic.com/images3_pi/2019/12/...</td>\n",
       "      <td>shein_crossbody</td>\n",
       "      <td>less 50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                page  \\\n",
       "0  https://us.shein.com/Geometric-Decor-Quilted-C...   \n",
       "1  https://us.shein.com/Croc-Embossed-Chain-Cross...   \n",
       "2  https://us.shein.com/Chain-Decor-Quilted-Cross...   \n",
       "3  https://us.shein.com/Croc-Embossed-Heart-Shape...   \n",
       "4  https://us.shein.com/Quilted-Flap-Twist-Lock-C...   \n",
       "\n",
       "                                product  brand     price  \\\n",
       "0     Geometric Decor Quilted Chain Bag  shein  less $50   \n",
       "1     Croc Embossed Chain Crossbody Bag  shein  less $50   \n",
       "2     Chain Decor Quilted Crossbody Bag  shein  less $50   \n",
       "3  Croc Embossed Heart Shaped Chain Bag  shein  less $50   \n",
       "4     Quilted Flap Twist Lock Chain Bag  shein  less $50   \n",
       "\n",
       "                                               image             type  \\\n",
       "0  http://img.ltwebstatic.com/images3_pi/2019/12/...  shein_crossbody   \n",
       "1  http://img.ltwebstatic.com/images3_pi/2019/11/...  shein_crossbody   \n",
       "2  http://img.ltwebstatic.com/images3_pi/2019/11/...  shein_crossbody   \n",
       "3  http://img.ltwebstatic.com/images3_pi/2019/12/...  shein_crossbody   \n",
       "4  http://img.ltwebstatic.com/images3_pi/2019/12/...  shein_crossbody   \n",
       "\n",
       "  price_level  \n",
       "0     less 50  \n",
       "1     less 50  \n",
       "2     less 50  \n",
       "3     less 50  \n",
       "4     less 50  "
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shein_data = pd.read_csv(\"../data/sim/shop_shein_index_final.csv\")\n",
    "shein_data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T23:11:56.887095Z",
     "start_time": "2020-01-30T23:11:56.875597Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1270, 7)"
      ]
     },
     "execution_count": 370,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### the number of brands & the number of bags\n",
    "shein_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thus, we have 101 different brands (100 from saks and 1 from shein) and 3614 different handbags that can be used in recommendation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T23:29:51.643662Z",
     "start_time": "2020-01-30T23:29:51.635532Z"
    }
   },
   "source": [
    "**Handbag Recommendation** is based on similarity of trained vetcors. Now, I'm going to measure the similarity and analyze the results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get Vetcors from Trained Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T23:22:28.308023Z",
     "start_time": "2020-02-05T23:22:28.302770Z"
    }
   },
   "outputs": [],
   "source": [
    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load Data "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we loaded two dataset. One is the **shopping handbag data** from Saks Fifth Avenue and Shein. One is the **test data** in our model development."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T23:45:20.052805Z",
     "start_time": "2020-02-05T23:45:20.039663Z"
    }
   },
   "outputs": [],
   "source": [
    "### transformations \n",
    "data_transforms = {\n",
    "    'train': transforms.Compose([\n",
    "        transforms.Resize((256,256)),\n",
    "        transforms.RandomHorizontalFlip(),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "    ]),\n",
    "    'val': transforms.Compose([\n",
    "        transforms.Resize((256,256)),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "    ]),\n",
    "    'test': transforms.Compose([\n",
    "        transforms.Resize((256,256)),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "    ]),\n",
    "    \n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T23:48:37.131801Z",
     "start_time": "2020-02-05T23:48:37.079931Z"
    }
   },
   "outputs": [],
   "source": [
    "### get vectors for the shopping bags from shein and saks fifth avenue\n",
    "data_dir = '/Users/jianinglu1/Documents/GitHub/DataInsight/data/shop/'\n",
    "image_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x),\n",
    "                                          data_transforms[x])\n",
    "                  for x in ['test']}\n",
    "shoploaders = {x: torch.utils.data.DataLoader(image_datasets[x], batch_size=1,\n",
    "                                             shuffle=False)\n",
    "                for x in ['test']}\n",
    "\n",
    "test_dir = '/Users/jianinglu1/Documents/GitHub/DataInsight/data/processed/name_correct_merged/'\n",
    "test_datasets = {x: datasets.ImageFolder(os.path.join(test_dir, x),\n",
    "                                          data_transforms[x])\n",
    "                  for x in ['test']}\n",
    "testloaders = {x: torch.utils.data.DataLoader(test_datasets[x], batch_size=1,\n",
    "                                             shuffle=False)\n",
    "                for x in ['test']}\n",
    "inputs = [i[0] for i in datasets.ImageFolder('/Users/jianinglu1/Documents/GitHub/DataInsight/data/shop/test/').imgs]\n",
    "inputs_test = [ i[0] for i in datasets.ImageFolder('/Users/jianinglu1/Documents/GitHub/DataInsight/data/processed/name_correct_merged/test/').imgs]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load Trained Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we are going to use the input vector of last layer in our pretrained model as our handbag vector. The length of that vector is 2048."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-06T21:35:07.174777Z",
     "start_time": "2020-02-06T21:35:05.002951Z"
    }
   },
   "outputs": [],
   "source": [
    "### define model\n",
    "model_ft = models.resnet50(pretrained=True)\n",
    "num_ftrs = model_ft.fc.in_features\n",
    "model_ft.fc = nn.Linear(num_ftrs, 19)\n",
    "model_ft = model_ft.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-06T21:35:09.357192Z",
     "start_time": "2020-02-06T21:35:09.109160Z"
    }
   },
   "outputs": [],
   "source": [
    "### load model\n",
    "model_name = torch.load(\"../models/model_name_resnet50gpu_correct_merged\", map_location=torch.device('cpu'))\n",
    "model_ft.load_state_dict(model_name)\n",
    "model_ft.eval()\n",
    "model_test = nn.Sequential(*list(model_ft.children())[:-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on model_test, we can get the handbag vector for all handbags from our images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-06T21:35:18.376011Z",
     "start_time": "2020-02-06T21:35:18.363040Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ResNet(\n",
       "  (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n",
       "  (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "  (relu): ReLU(inplace=True)\n",
       "  (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n",
       "  (layer1): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "        (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (layer2): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "        (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (3): Bottleneck(\n",
       "      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (layer3): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "        (1): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (3): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (4): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (5): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (layer4): Sequential(\n",
       "    (0): Bottleneck(\n",
       "      (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "      (downsample): Sequential(\n",
       "        (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)\n",
       "        (1): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      )\n",
       "    )\n",
       "    (1): Bottleneck(\n",
       "      (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "    (2): Bottleneck(\n",
       "      (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n",
       "      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n",
       "      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (relu): ReLU(inplace=True)\n",
       "    )\n",
       "  )\n",
       "  (avgpool): AdaptiveAvgPool2d(output_size=(1, 1))\n",
       "  (fc): Linear(in_features=2048, out_features=19, bias=True)\n",
       ")"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_ft"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Handbags from two companies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-27T04:15:53.082620Z",
     "start_time": "2020-01-27T04:08:08.998337Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "100\n",
      "200\n",
      "300\n",
      "400\n",
      "500\n",
      "600\n",
      "700\n",
      "800\n",
      "900\n",
      "1000\n",
      "1100\n",
      "1200\n",
      "1300\n",
      "1400\n",
      "1500\n",
      "1600\n",
      "1700\n",
      "1800\n",
      "1900\n",
      "2000\n",
      "2100\n",
      "2200\n",
      "2300\n",
      "2400\n",
      "2500\n",
      "2600\n",
      "2700\n",
      "2800\n",
      "2900\n",
      "3000\n",
      "3100\n",
      "3200\n",
      "3300\n",
      "3400\n",
      "3500\n",
      "3600\n"
     ]
    }
   ],
   "source": [
    "### Get vectors for handbags from two shopping websites\n",
    "### Based on the order, the first 1270 are for shein, others are for saks fifth avenue\n",
    "vectors = []\n",
    "for idx, (inputs, label) in enumerate(shoploaders['test']):\n",
    "    if idx <= 1269:\n",
    "        x = inputs.to(device)\n",
    "        x_predict = model_test(x)[0].detach().numpy()\n",
    "        x_vec = np.reshape(x_predict,[1,2048])\n",
    "        vectors.append(x_vec)\n",
    "    if idx % 100 == 0:\n",
    "        print(idx)\n",
    "torch.save(vectors, \"shop_shein_bag_vect.pt\")\n",
    "#torch.save(vectors, \"shop_saks_bag_vect.pt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we still need to reorder the vectors to make sure the vetor is matching with the csv data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 745,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-27T21:34:44.130070Z",
     "start_time": "2020-01-27T21:34:44.103656Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "100\n",
      "200\n",
      "300\n",
      "400\n",
      "500\n",
      "600\n",
      "700\n",
      "800\n",
      "900\n",
      "1000\n",
      "1100\n",
      "1200\n"
     ]
    }
   ],
   "source": [
    "### reorder the vectors based on image names \n",
    "vectors_reorder = []\n",
    "for i in range(1270):\n",
    "    img = '/Users/jianinglu1/Documents/GitHub/DataInsight/data/shop/test/shein/' + str(i) + '.jpg'\n",
    "    index = inputs.index(img)\n",
    "    vectors_reorder.append(vectors[index])\n",
    "    if i % 100 == 0:\n",
    "        print(i)\n",
    "torch.save(vectors_reorder, \"../data/sim/shop_shein_bag_vect_reorder.pt\")\n",
    "#torch.save(vectors_reorder, \"../data/sim/shop_saks_bag_vect_reorder.pt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Handbags from my test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T18:53:53.298921Z",
     "start_time": "2020-01-30T18:51:11.396361Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "100\n",
      "200\n",
      "300\n"
     ]
    }
   ],
   "source": [
    "test_vectors = []\n",
    "for idx, (inputs, label) in enumerate(testloaders['test']):\n",
    "    x = inputs.to(device)\n",
    "    x_predict = model_test(x)[0].detach().numpy()\n",
    "    x_vec = np.reshape(x_predict,[1,2048])\n",
    "    test_vectors.append(x_vec)\n",
    "    if idx % 100 == 0:\n",
    "        print(idx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T18:57:23.414278Z",
     "start_time": "2020-01-30T18:57:23.369053Z"
    }
   },
   "outputs": [],
   "source": [
    "torch.save(test_vectors, \"../data/sim/test_vect.pt\")\n",
    "outfile = open(\"../data/sim/test_infor.csv\", \"w\")\n",
    "outfile.write(\"\\n\".join(inputs_test))\n",
    "outfile.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To do the analysis, we also get the name of handbags in my test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T20:50:40.826853Z",
     "start_time": "2020-02-05T20:50:40.818862Z"
    }
   },
   "outputs": [],
   "source": [
    "class_names = test_datasets['test'].classes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Similarity Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Load Vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T23:43:42.242710Z",
     "start_time": "2020-02-05T23:43:41.900244Z"
    }
   },
   "outputs": [],
   "source": [
    "vectors_saks = torch.load(\"../data/sim/shop_bag_vect_reorder.pt\")\n",
    "vectors_shein = torch.load(\"../data/sim/shop_shein_bag_vect_reorder.pt\")\n",
    "vectors_test = torch.load(\"../data/sim/test_vect.pt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T23:43:44.958740Z",
     "start_time": "2020-02-05T23:43:44.946360Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#saks:  2344 \n",
      "#sheins: 1270 \n",
      "#mytest: 399\n"
     ]
    }
   ],
   "source": [
    "print(\"#saks: \", len(vectors_saks), \"\\n#sheins:\", len(vectors_shein), \"\\n#mytest:\", len(vectors_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T19:02:22.603851Z",
     "start_time": "2020-01-30T19:02:22.595309Z"
    }
   },
   "source": [
    "Here, we also need to convert the shape of vectors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T23:43:49.164224Z",
     "start_time": "2020-02-05T23:43:49.066414Z"
    }
   },
   "outputs": [],
   "source": [
    "vectors_test = np.reshape(vectors_test,[399,2048])\n",
    "vectors_saks = np.reshape(vectors_saks,[2344,2048])\n",
    "vectors_shein = np.reshape(vectors_shein,[1270,2048])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check and Validate Similarity based Recommendation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T19:03:44.592453Z",
     "start_time": "2020-01-30T19:03:44.584342Z"
    }
   },
   "source": [
    "We used cosine similarity to find the most similar handbags based on input vector. <br><br>\n",
    "To analyze the similary between handbags:\n",
    "1. Use handbag vector from vectors_test as input\n",
    "2. Measure sim1 and sim2 which are the similarity between input vectors and handbag vectors from my vectors_shein and vectors_saks. \n",
    "3. Measure sim3, the similarity between input vectors and handbag vectors from my vectors_test with same handbag name, which means they are the different images for sim handbag.\n",
    "4. My reconmmendatation is based on sim1 and sim2.\n",
    "5. If the sim3 can significantly higher than sim1/sim2, that means to measure the similarity between my generated handbag vectors is able to determine the handbag similarity, which also validates my recommendation system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T20:50:27.786817Z",
     "start_time": "2020-02-05T20:50:27.781712Z"
    }
   },
   "outputs": [],
   "source": [
    "def provide_sim(input_vectors, vectors_shein, vectors_shop):\n",
    "    \"\"\"\n",
    "    Calculate similarity between input_vectors and vectors_shein, and input_vectors and vectors_shop\n",
    "    \n",
    "    \"\"\"\n",
    "    sim1 = cosine_similarity(input_vectors, vectors_reorder)\n",
    "    sim1 = np.reshape(sim1, np.shape(sim1)[1])\n",
    "    sim1_dict = [[\"sim1_\" + str(i),j] for (i,j) in zip(range(len(sim1)), sim1)]\n",
    "    sim2 = cosine_similarity(input_vectors, vectors_shein)\n",
    "    sim2 = np.reshape(sim2, np.shape(sim2)[1])\n",
    "    sim2_dict = [[\"sim2_\" + str(i),j] for (i,j) in zip(range(len(sim2)), sim2)]\n",
    "    sim1_dict.extend(sim2_dict)\n",
    "\n",
    "    return sim1_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T23:56:30.630999Z",
     "start_time": "2020-02-05T23:56:30.618862Z"
    }
   },
   "outputs": [],
   "source": [
    "def check_sim(input_vectors, vectors_shein, vectors_shop, other_vectors):\n",
    "    sim1 = cosine_similarity(input_vectors, vectors_shop)\n",
    "    sim1 = np.reshape(sim1, np.shape(sim1)[1])\n",
    "    sim1_dict = [[\"sim1_\" + str(i),j] for (i,j) in zip(range(len(sim1)), sim1)]\n",
    "    sim2 = cosine_similarity(input_vectors, vectors_shein)\n",
    "    sim2 = np.reshape(sim2, np.shape(sim2)[1])\n",
    "    sim2_dict = [[\"sim2_\" + str(i),j] for (i,j) in zip(range(len(sim2)), sim2)]\n",
    "    sim3 = cosine_similarity(input_vectors, other_vectors)\n",
    "    sim3 = np.reshape(sim3, np.shape(sim3)[1])\n",
    "    sim3_dict = [[\"sim3_\" + str(i),j] for (i,j) in zip(range(len(sim3)), sim3)]\n",
    "    \n",
    "    sim1_dict.extend(sim2_dict)\n",
    "    sim1_dict.extend(sim3_dict)\n",
    "    \n",
    "    return sim1_dict\n",
    "\n",
    "def validate_sim(input_vectors, vectors_shein, vectors_shop, other_vectors, sim_type=\"median\"):\n",
    "    sim_final = check_sim(input_vectors, vectors_shein, vectors_shop, other_vectors)\n",
    "    sim_data = pd.DataFrame(sim_final)\n",
    "    sim_data[2] = [ i.split(\"_\")[0] for i in list(sim_data[0])]\n",
    "    sim_data[\"order\"] = sim_data[1].rank(ascending=False)\n",
    "    sim_data.columns = [\"initial_index\", \"sim\", \"index\", \"order\"]\n",
    "    if sim_type == \"median\":\n",
    "        group_data = sim_data.groupby(\"index\").agg({\"sim\": np.median})\n",
    "    elif sim_type == \"max\":\n",
    "        group_data = sim_data.groupby(\"index\").agg({\"sim\": np.max})\n",
    "    elif sim_type == \"min\":\n",
    "        group_data = sim_data.groupby(\"index\").agg({\"sim\": np.min})\n",
    "    print(sim_type + \"_sim_saks:\" + str(group_data[group_data.index == \"sim1\"][\"sim\"].values[0]) )\n",
    "    print(sim_type + \"_sim_shein:\" + str(group_data[group_data.index == \"sim2\"][\"sim\"].values[0]) )\n",
    "    print(sim_type + \"_sim_othersametest:\" + str(group_data[group_data.index == \"sim3\"][\"sim\"].values[0]) )\n",
    "    return sim_data, group_data[group_data.index == \"sim1\"][\"sim\"].values[0], group_data[group_data.index == \"sim2\"][\"sim\"].values[0], group_data[group_data.index == \"sim3\"][\"sim\"].values[0]\n",
    "\n",
    "def get_test_vectors(test_vectors, bag_type, total_imgs):\n",
    "    bag_index = [idx for idx, i in enumerate(total_imgs) if i.split(\"/\")[-2] == bag_type]\n",
    "    test_index = random.sample(bag_index, 1)[0]\n",
    "    print(\"sampled index:\", test_index)\n",
    "    test_vector = test_vectors[test_index:test_index + 1]\n",
    "    other_vectors = [test_vectors[i] for i in bag_index if i != test_index]\n",
    "    return test_index, [ i for i in bag_index if i != test_index], test_vector, other_vectors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Check One Example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T23:58:50.516407Z",
     "start_time": "2020-02-05T23:58:50.501880Z"
    }
   },
   "outputs": [],
   "source": [
    "def check_single(index, bag_index, vectors_shein, vectors_shop, vectors_test, input_vector=None, other_vector=None, sim_type=\"max\"):\n",
    "    if index != None:\n",
    "        img = datasets.ImageFolder(os.path.join(test_dir, \"test\")).imgs[index][0]\n",
    "        input_vectors = vectors_test[index:index+1]\n",
    "        other_vectors = [i for idx, i in enumerate(vectors_test) if idx in bag_index]\n",
    "    else:\n",
    "        input_vectors = input_vector\n",
    "        other_vectors = other_vector\n",
    "    \n",
    "    sim_data, _, _, _ = validate_sim(input_vectors, vectors_shein, vectors_shop, other_vectors, sim_type=sim_type)\n",
    "    if sim_type == \"max\":\n",
    "        sim1_max_sim = sim_data[sim_data[\"index\"] == \"sim1\"].sort_values(\"sim\", ascending=False)[\"sim\"][0:1].values[0]\n",
    "        sim2_max_sim = sim_data[sim_data[\"index\"] == \"sim2\"].sort_values(\"sim\", ascending=False)[\"sim\"][0:1].values[0]\n",
    "        sim3_max_sim = sim_data[sim_data[\"index\"] == \"sim3\"].sort_values(\"sim\", ascending=False)[\"sim\"][0:1].values[0]\n",
    "\n",
    "        sim1_max_index = sim_data[sim_data[\"index\"] == \"sim1\"].sort_values(\"sim\", ascending=False)[\"initial_index\"][0:1].values[0]\n",
    "        sim2_max_index = sim_data[sim_data[\"index\"] == \"sim2\"].sort_values(\"sim\", ascending=False)[\"initial_index\"][0:1].values[0]\n",
    "        sim3_max_index = sim_data[sim_data[\"index\"] == \"sim3\"].sort_values(\"sim\", ascending=False)[\"initial_index\"][0:1].values[0]\n",
    "    elif sim_type == \"min\":\n",
    "        sim1_max_sim = sim_data[sim_data[\"index\"] == \"sim1\"].sort_values(\"sim\", ascending=True)[\"sim\"][0:1].values[0]\n",
    "        sim2_max_sim = sim_data[sim_data[\"index\"] == \"sim2\"].sort_values(\"sim\", ascending=True)[\"sim\"][0:1].values[0]\n",
    "        sim3_max_sim = sim_data[sim_data[\"index\"] == \"sim3\"].sort_values(\"sim\", ascending=True)[\"sim\"][0:1].values[0]\n",
    "\n",
    "        sim1_max_index = sim_data[sim_data[\"index\"] == \"sim1\"].sort_values(\"sim\", ascending=True)[\"initial_index\"][0:1].values[0]\n",
    "        sim2_max_index = sim_data[sim_data[\"index\"] == \"sim2\"].sort_values(\"sim\", ascending=True)[\"initial_index\"][0:1].values[0]\n",
    "        sim3_max_index = sim_data[sim_data[\"index\"] == \"sim3\"].sort_values(\"sim\", ascending=True)[\"initial_index\"][0:1].values[0]\n",
    "\n",
    "\n",
    "    sim1_img = \"/Users/jianinglu1/Documents/GitHub/DataInsight/data/shop/test/shop_data/\" + sim1_max_index.split(\"_\")[1] + \".jpg\"\n",
    "    sim2_img = \"/Users/jianinglu1/Documents/GitHub/DataInsight/data/shop/test/shein/\" + sim2_max_index.split(\"_\")[1] + \".jpg\"\n",
    "    if index:\n",
    "        sim3_img = datasets.ImageFolder(os.path.join(test_dir, \"test\")).imgs[bag_index[int(sim3_max_index.split(\"_\")[1])]][0]\n",
    "    else:\n",
    "        img = None\n",
    "        sim3_img = datasets.ImageFolder(os.path.join(test_dir, \"test\")).imgs[bag_index[int(sim3_max_index.split(\"_\")[1])]][0]\n",
    "    return img, sim1_img, sim2_img, sim3_img, sim1_max_sim, sim2_max_sim, sim3_max_sim\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use classic as an example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T04:28:34.980566Z",
     "start_time": "2020-02-05T04:28:34.974544Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sampled index: 154\n"
     ]
    }
   ],
   "source": [
    "bag_index, other_dict, _, _ = get_test_vectors(vectors_test, \"classic\", inputs_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T04:28:35.718909Z",
     "start_time": "2020-02-05T04:28:35.623191Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max_sim_saks:0.8386380076408386\n",
      "max_sim_shein:0.81406569480896\n",
      "max_sim_othersametest:0.9349642992019653\n"
     ]
    }
   ],
   "source": [
    "img_test, sim1_img, sim2_img, sim3_img, sim1_sim, sim2_sim, sim3_sim = check_single(bag_index, other_dict, vectors_shein, vectors_saks, vectors_test, )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, it is clearly that the max_sim has been achieved by my vectors_test, which makes sense. <br>\n",
    "Now let us check the images of these bags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T21:15:45.766507Z",
     "start_time": "2020-01-30T21:15:45.608427Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "input\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1088417B8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "saks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A2635E550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shein\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A2635E550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test\n"
     ]
    },
    {
     "data": {
      "image/png": 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fe4pHjt10Br2PXUTQUVEMBgOzb2LW529ZbiB1T/OBCanqmumlXVGZxZqAtrY2AEDhpUmIRVQA2Dh+Mt84koNrlosj2XC6N9vfWSLgDRWnwg2l7gBgYES43N+/un2lNjEkBMiLHOAl6cgAACCSgk021o8cP9ZJlBiKPNvb2Wnq6gbs9X6DqbsZAswuX5nPpx2hARMhE8NLF31GBDBwmS+Ggy4Gid14NNjevrpz7aqp2g3WEPiGU3cAuPTwo818KuxCZ95nzAwvZaIUqikAnD57UxXarqkHZdHW1c//p58jZhGJMb7YZ/jbJzeQuscYVdUAHvnoJyiENkiGvm6qtm3gJevLXA/BN48eBUIRUZFjR4/89E/95MNf+Hye5zdUQ+AbSN1VNcuyX/2lDz52/wN5GhmpCAbLZfVin9o3VhAAwI6eODEYDptq6QiPHtna39v5h//gHwK+pCj+X1FuAHU3AIEowXn/5Pmn/t2P/GjHEk1Z284CBNLQAoCJmb4UQzftVMQAn7xwqa7bjMiWszPrkxNrGx/4uf/wSx/4Bed9DBFuDBN/A6g7AhCoGiH+/f/pf7TFEpoudlHUyFHTto9+4aG6Wr5UgfcYo/fZL73/V//t+/7FqaPHui7OprMzp06V3hdA/+Tv/6Oua4BQbwx9vwHUHUwsZj77hf/4cx/6wPvvPHWync69K8j5YIJkn/vUp5969DH2rC852gwAoMuq5fLv/jf/zYioq5toUDetdt3NJ09OOHvoE/f//M/8rGPuXorX/qXyUlb3hCunUCy08Z/8L//oDa+4o97blhgVyABd5qNGqJtPf+jDJokGf32wx4t89l+zqGroOmb/v/7Df3zxoS/cceaUSFRyIcT5/v65m89kCkfHaz/7E/8uqiq+lMGpA3kpqzsAAKCoMLlfe/+vXHr48dffdtvFS09Eh+K8c7mBKVq1s3flyQuXnnqSiF8CWn4gKsLMDz/40I/9P3/kNefODTIXwRTJzGb7+0fGk9ff91oSe+zBLzzyhS9kxDcCRPNSVvdkrBPy8DP/9ie//9u/U2bzVlr1JETOOWYGtGax2Lly9eLTT8NLy8CpGTG/78d+HOruVbfeCqhVaNj5EERDfPLxx1//+teeO3du/+r2x379Qw5QVF9Kq/055YvUXQHk4JU8gS6ENgYV7duxHRphlb5Mf2NJV8wAYv+yCCZgaiACIiAA2r/sSxpy9u9loF8PX8JW7cAQgP3Tz1y22ZV7X33myUcfoVB2wcRiENEoqBHBLnz+4Sc+9hmrohCaGoCJRgsqYiImavb8r2fdlv61AnkOj/vqrw6e49UfYP3rud5xdYPTW6xu/PXfKJiACaioaQQAC+Rpd3f/Iz//i2ePbp279dYrVy4DGDNSqmoJ+tBDD7z5W167NnQPfvozAYCJXvIZ1i9q299fbdI3RFPVzHsDkBgJEKDXRgUjIkKC/q6nvoSgYBEAAA2MEHlV/psOEOvL4wGQJHUAOmhp2B/z9RURceyefuKJV9922yMPfX7Z1MwlKZhGVQMwNSHkpql+9QO/dN+3vPO2N94rJg6ckcKhYdnPeWIr3XzWL1NjD4U0rRWf9ceHLjHRjfu7Y4B958r098/WudV3qzvVvwn1XyD0g3XQwBD6Jt2q5th/9tOf2b165d1vekOWZ0899XTmfRMCIYYYLMt3r15dP7bxurvuuvT4+brtJnn2kucUPEvdV61CTTX9z7zjT37sk1ubm2dvvyVtdo4ZABgA0rDp6yEOoqUCOJf6E5ph+j2oISAhGAECGPY6DmrABni9KWM6HNP6sdTz57d09/tRiqaqwBD2p7OrV69cehIcNyEoGqRmYYBRQRHIu4vPPPWRX//Vc2+8d7UM+cL5x3KHw8HQuYzIwapRkWFika9OjAgBiAipJxgiESZfgujg0r5YvvRnL+xCn7259guorzoFQIRgyoamAAyPff4LFrvXv+6+C+cfb0Nw7Mk7DVHNuhiyQJefeProZO3iE8/Mt7cnp0+94Pv7NcnB1v3bv7R6dVfV5Lo45xBXjwmgWbb/49/5H7QL/9M//vtnb78FAHa29z71yU/t7Wy/+S1vuensGRBwRP1Oa4AKvlUwAyKIsQrBzCyKRQXTiIBM5NnlmSsZmRApgrAB9yutb/iW5Lem8aqaVtDqLaHa3p5dutIuqzbGRlAciykooCgyRTMNLZh99hOfqJsqywtAWO7O3v8v/s2I42xvrxysp0UOAM45l2VpeBMRIRE5TveNiMxM1ZjJORdFnHPOOWYHAEqAiITovCciZgYz55z3XnJnjHmWg5kCZnmBiMScnDqfZY7IMQMTM2d5johERMyASOSJHJghISJ0MRghZJkZAcAjDzx4+82nNzfG7/8PD+RFHtAADJkUrImdi65d1sF4kvvF3g6cPqUi7L6mOT36JU02v/QhHvZUf5s13qX9S0SIyHs/nc6feOL8M89cvHz58mQ0qaaLe15518c//JEf+1//t29597cy8z/9pz/ytre97bFHzz/50FP/9V//r7p5MNHYdRJi6DprItYSJRoYMwsgAebsPBKzJwRkBaddrGsPmHE+yPNJwY6QV9bqwOe2/t7oofv1Qu8OYjLBaQbd1QtPLrd33IBmEjsjVRNTiEpqqhgYAMEDXXryid3ta6fPnAWA2Ib9S5eGI54/eWE7XGDCPPciAoDsmFZurogYQLLrKqpmzjkVcc6pGSKYGRGZWlbkibTjvU9zQZgZEWOMLSo5VjXHbEjBkIjAjJnNLB1vZi7zCjAoyxgjIPjMM3si5zgjQpEIjkcba+Xa+Fu/7/tFQcwuPPzIq+849+ijDy2W86zMU1NIFSFAJmq61tgaoiLjajmHVdzxVdznFyzPuQZ++8Ulo+69r6rqV37l1z79qfuXy+XO7s6jjzza1d2bXvu6s6fO/LN/9qOK8LM/8zM/8k/+6eve8Pr/8q/8BdiDxf5i8dRCRJJdZ3YleyiNhyQhdk0jMebK7aKOoWubFrvovVdG84y5d8gu824MutPKem5DduyIiZjMp8ih36lTWV3i7ib5yg9DVcwUjJ2bz/YvP/HE0Gd7zTKaKnI0RUQDIyA1UDBEANXZ7t7OznZS9zZ0lXbRWLT15UhCvWyW3nszQ3OohEQxRmJWUxVj5hAbIlLlEINBMvZgZszeULuqZmYQAfQhRhVJZl5VsAlErBKbEIAYfR5E8jwPUYioViWiruvIsXNuoWJqxGSEqn2IpEHYuw703Ctf8fhy9qb3vrccTGZVjWqT0fAz93+KEVXNiFLMIKJBhIg7iTGGJkpdLcDALFnnr/+UnoRy9s/0xcN/XGeh4PyJ80/++P/3ff/xP/z8u77tPW3XZHn51re9/f77P2NFtnN12xX5+pnNP/RDf0IivPdbvq1+fG6IDhEA8iwnx+TYTAGRmJAIAIYEEAEYzMAimBk0nVZNF2Nd1RKjqFRNB/Uc1dxlNjTvPBC6zOMo82UBGWPmIis49I4hcxHMY0ysdUM0oH6OKEDPjDFAQETuXEAgBkcAs6tXrjx53gpeLCAyg6J0AREMMZAYoZqBWCXStU2ztwcAamCxzfNCIVcbePCWkQNkgrIoTCUEQcJBkQFYp5GATGRclkFilOid91kGAITYdaHrNPMFe5QQ86wMISKyYgD0CojsKC+IGEKHJKamQdVUJMTYeca2aYrBACmG0Ho3ApW6qvI8QyQzcM6hCZBx23mHVb0fFvNag0eb1Qt2dvXJx6rFVDOK0YhYSdTMZ14RK9WB0UJDNONOAYHZI0EDITOHgIiAooBgdF37URNmAYpmBmTJdAiAGTGAAhAaGKaQOz2fVFMFoAAIZImep8lSkiGCESqAobnDnQvTslADwvSngCnWW3m8vQPcH91/o4fWKoEc0nZyGfrLz1z6x//zP3rw/gc3ytEv/PS/X1sbjyYjYtyvKgyxvracPn1tsrGujfypP/enoQHpIjFKiAYQQ2jaliOHEBL61nVd+lQickYEmBeFc84QcVSUzMOjm4AIqQVtK9YGNVWz2HUqomCxlaaaNRoDWhlt0Ak4n41H2foQtxi86x/AKqRFRDAwQwRCQQ2i09lyd97MmvGgfPRjH93d2y0Hg041moIBGoiIAhglUATatkXERWiaukknnzl3bHNrqxg1e3MiDAQIljlG0xjjcFQAYIyBiHLm2HWZ97HpxpmPIjHGBLIgQF4MIfkzZn7sANBMu9ANHQIQgCEicQaAWYhRIhgwQhcaA8lx0Nb1aGMoYGXuYxdjF41oOBmHENlliEDMoeuQKSOPDn2ejcvBRL0D1Fkj0/l+WCBCFDWg5HEhkqgSkXcc2xAQQtS4M5ftev/yFchwfGKDRhMhEDAmIANQQOr1Kqa+8ek2IQKm/zEaYEQUgKhggGLadoAYYwRADJBwC2IGh1xm5JE9Afe+Kxoemp9jAIoGCAQApICEhqoAjCs/99AOYc8eAk56/XfJJVjtKuAI6D/93AequkOfMeHRI5uj0WA23Tt3x+3fetc91x55qlzKUR7hXHynIbTsPTIDg3M5IDjMywQecw8tRxUwUzFVgSpo1LCo2xgbiZA5RkIzNPBlQcyO2XmvzJCzh0GKtyj2wE0EgyC4CHHR1PM2LCqeunw0wCLD3BMDe04gEAAgcDdvLj/xzMUnnhmGOHIFg4OiffzDn/W5d4gmIqgqIqKqoqLIpBEOQpe6asO8hQA2b/YuXPbIbdeuHdnIvY/EdbVkBAltORwxOwPLzZAoqmR5DmIIhEyD4VBFEJGdiyEQs3OubVsT8eyc9yoyQMvLTETrqi7LQg27NpRl2XQtATDhEIZIUFXL9a0TddsiUSshL5BVRCS58gCEiHVdZ8MimmXITDhZ27r8+APv/wc/+rZ3fc/aOH/znXff/8lfjxkCkWlCx0BUmJmYurrxBIEstPGxTz3wmtP3henefjXfLvzGHbeu3XTcDTNgBgOyfvsEAGVAAFQjS9CXSTAV1Q5w2aFaaFsVoQiFy0Wl6zpCgtYAgJnrtuUy6yC6MvOFp9y5oafCQ8aAaCnYMk3k7EOKm+y7GYDiIUQ37TPGBzqNBnaY7rZCDROk5f7wn/wzRZEdPX38ZEaPP/yF4SS75ZXnzt50yjNfu3C1uXTt1Wtn81pt1pgEylEFybkUCSqCKpAaGlgEJERAxw4QjAERrCzTR5rZJMWfoqHtmqqOIBKiB2exixLNgAhTcIZmQGgI3vvAhENflEWZcx7F5rU2GtrWfJTYuR7+A0RUBWt1I9/YuG09H2bkXeyi07g0qatqGReGAGgCYAgKBkzIBKopHDSzgfrpA09M1x7Yvrzz0JOfLfJsWA62l7PcsQG5PHeE5bBEpJSOaLsOEfM865oWRPOyTOecZVkIYTqbZXnumBExJ2qbxoh9WcQQRaVuYzkoBy6TGLsYRuuTxWKRlYVjzr0DxK7tjk022mj5mBbLxXq5gSo5QBBpmwYQwbBpmsnGlpnVXWtB19Ymo/F67vPdBx/bKR5cf8WtHJXIRbE6tD7LDU1UUxZFETyRqgSx0LbTa7tlNqQRbmwdDwy6G0O72w4ZMmbPRuS8x9S8QAXUUEyjRgmAppEgIqEzUWLy4hkyYRAgdL7wA0Q0bwAGamUxAFWvsVt22mqEOpSuka5YH7oy86OcHCESAihBZASwpN4EQJD6QNn1XR3Q1FLCIaGLAqKM2GchIBdGgIQxELH7zV/5lZtuPrNz9dLNt5791m99+6DILHTXLl+6euni8tL0Xbe+9jRtSVCv6JS0icaAGQECMCAjEiKhab+O7MCRRjCAQL3xRUJU8ApInHOZlyUYGBg6NAIQwGiAYGqAEElUTFQRjTvAJix3r8Jo6MqCihzBUBQRMcvM1NSICBABzXIDT0y0DFULkYY8cm5fKkIiR13outAFw+RZqVkMIS0wFUVCjTayPGv4hF+fT44+PD0/izEbDMgxo0fmjKlpqjznQT4EAPSuC0HMoikzqQEQguN5XbVtN1pbq6olAHVtB2B5UZRF2XUdMkeJAjCvquFwFGPIB6URTjY2kFBiuHb50okTpyeD0WJRGahz2Xg8AUcaAiNpjB6IiACoGI4lSl1Xw7WNgXFUaepuWI4mkJ06cRNmo73ZdF7VrWMjjBK7rgPPKkLMahZEAKXrxCHu7eyaASKHiJiVQ0VrrRMR6CD3kRE4IGEIsQCfvAdEyrgANItK6AAgECOSWSTnxLSN0aEzFUKMqGBAngAwQ09GBWbOs5oQu9xiV3VhubRaXOaJgJjAk+XoiJI3T0YAgKtMhibUNlXigpmBqjp2njlCBANCVlBCAsYeRY7m3v3q+26+5SZXuM7arG44RuvCWsT1Iyfj+MSpweZaGOwvF+uwlRERMEQEUGADg9SXKnnhZvil8TZb72Ylv0ySuwpmogQICKppkSISAgIymgEy+Iy8ASpgDsF142KLch/QNAiIIigboSIamqqqIRpIEEBBUkBGKokFzJqmWy5DjIwsIgaGhFVdO8ciSn2KF9TUxNoyd+MRIbu8mE8XnqhYm+zsXCnIq0EQ7dqmLLIsLwC5aeo8z8nAEH0GTV2Ph6MuhOlskWXZeLKWF0XdtMuqGQyGWZYtZjN2WRtjDNHAFDTLfFQh9mJmKoYoQeaz/WOnTjRtt6xb53KUsDYst/d2uyYiIPg8RAEkBcx8HmMMEorBiPNMlg0gr61tVJP1y9eeubqzm+f+4v4O+swUkEAsEkIXOiIGgLbrcpcBkUF0xtPpbLE/z9iRy5zlMbaQIbnMERBSDkTIAJihI8wNSQnAkSIQIagAKoJ6I0SCjNGgMF/4PKXnFS33jIjkGBBEIqBDMDMh8NCRA/REYCoVYqsxdMCInoBUVvmNmKESoid2DExKKWQDNejqqshzJrd7bXvv2hUMrWNHiMdOnW6L0cVLlx5/7LEHH3jgkYcfdT/wzrcbgpJFEyM0VRXp6mY2n+/P9qeuPVVuybUZnep0mMecKUQ2MXUYxcwIEFzvGPUr75DWX18BCVDHPnOLhAnAQVxRP1bNaBGAFNFS1wBUsGCCDlzBJJoT94vdDAwTSydhlKKMZowICBYcSAShKDDOaOj9tK7BMSigMgHGaIAkZhqFmQHIe7eRGVVNu723bBvMMCjOrl1bz8tgAmAqbV5kwLSslpn3RZHN57PRaFTVVZ7lKq4cFPPt2XhtRESqevHi02o6GAzIwaKaDceDernsuo6dMzNH2FS19x4Iu7aLMY5GI2YqB8Nr13YHg0GMmpdFiPb05YtFOfDedSHWErx3ufN1XTddE6MYmIK1TTUZDn1Z7DXLKrSF8+h0XFDGbt4twLkQDRwHQMc+xhiCeO/bEBCt9MxsUWYUmsHGbeCCsuooQ0bOM9WUWCAENDXnMgUFUCYkRqPei0dCNEZCAJAI/YNRxCgQxCFZG4AZwJln5JRXx37iZ46mZAYIbGKGQD4DIjRwrViI2jZd00rX5YOSRwPzTh22EJgIENm5//STP7XT7APYU/c/3FzbE6/+2NpwfZwxf/6xJ5648OS1nZ1lVeVl4XYWu2qgCNE0YckGNhwON06eLLaO5TiILXezZXdtP8MN9DkSoJqKmKKJoAGCQ8bnUPHDsgKMktuFRIdz5vjswwgwQYoAQIYFOUPjYGirfC8CIGoQU4O08QGSJpCbAcE8onDmeLFbdaEtx8PBxsblnd3YdVFtmGVBYifCnlO4BQAhdCNEL9Y1bdQ4Xp/wYjrKRotr2zQpVNV7brvWZxmCqcRl1WWZn073y7Ks68p7t6wWR44emc2mXdcVRbm+sTafzxbL+dbmlkic7u+BgYoAWJZ5QlpfW1vWFTJpFMdcLZYG1rbdYFCaQde10+luluXs/WIxHwwGBuYzH9uuXi6KvKiqOkYpB2XTNOBJwZ65cumOk3d3XYdNO5vtHZUTGsUXrlNh4joGQALRBMssl4ssyzxh0zbl2rhqZ4vF/uQoBojoPKNXEzOj5DEC2gEkAooAiIYq/ci2FeCYnjx7hkQcEUteuEVNfn/K7xkAIyISMoGpUuIJMRoQCBogeRCxusN50ywWzXRRzxdNVQ/XJ2vHj2ajgSs8e1QQRQjS3H7m3EMf+A/Hj2z+4Hf+AFfhX/7Mv/rJn/2PSwzWdZO19cFwdMe522+/89xrXv86d+LuV+7vT+uu0RjKwaAoitF4dOb0mZvPni3Ga/Ondh7/qd9s2qbdmWbOOzTMGVYUMDUlBSNE4gStHrAPnq8WbEU+e+7fPregIRIQwSrVhImwkNBMWMUGRD3LCsDU0EwNQtex542TJ06dOnP86vZ8Og8x7E/3g0pUaUMXUSVEVV1bX+t2l3XX1k1tmTOFqqrNZJDnQoSA1bLa2Nzc29vdWFsDs2FezmYzIlosFkVRxChENN2fNk3DTBql6zoEcuRm0ykitm23sb5eVXUIHQLkWXbt2jWXZ8N8GNVijM45EcnzrK7rPM+994PBYD6fpzzgdDodjEbL+azIciaMoYsxIGIIrYoq4Gx/L8R2urszm+6PAbsgQYSYmzYAg6ihQoitGmRZhqpHNta9zybj4ZkTJ6Z7u8vd6bytIGdiZ46AWaOKCQMhIyRcS9U5T5lPz1FUwYzsEADOlG4+JFYRERoAg1pqaZN8HxQwQeAVxc7UUA1UVQTFMCq0UZZ1O1vI/qJeVtZFb9a13bLZbmYLPyjywaAcTbJRmY2HWV7cc88b7nnjm8AEqnb/wlMu8+vra29/82vf/o63Hz928uTJk2dvu21yZAMA3Lf/5/8ZmIEKIEIKC1aa2QGs33YmO7oerzZhXkNZqQMeZOCZMpfCBNQoCAwZZo4Y7FmMr+dgEq5AtBckZokPnJbXIbJeTyiAtHseTME2MyRcJWIFyQGYz/0t5277zCfuH+ejYVZW0p09fTJINETOfNW13nsAmC/mV6YNOnaZLzbWdmZ7zLy+vhl294JGEPNEbVUd2zoynU7N1HvPzMxclmXTNCLStu3G+jqoimq1XA6HoxAC9mRmLIui67qmqcvBQGOcLxZEhAjz+TzPMgBYLBaDwaCu67W1tdlsNhgM9vf3syybzWbOuclksre/z44pz+fLJRMRMRLGGGJM2C+G2BVZNiiL+upse3fvNgMgv7G1ubm1YcAuL7xzGqUsi4RUNG0lMe7u7t59192f/ujHm6aCQU4QlAHQyKECqAVGTwjGYGZROhBaUeUMAVQNVyyrZ9E9ejieAICYLUYDQGIkSvfEEBDQVFEVxCCKdRGjhEXT7c/b2SLUTQhRYvTERIhddIigbWi6sLtocF8yplExWJvweEgUHnr4M5/4/AO/+ZEPG8c/+xf+y+/9Qz842thYaRJolFaCCyqEfSetfgliSoqhgnHG+ea4u1w1VTXb5SEDmlKZmxo6ZgRDI7MUrqJneH4K4GGN/yomfq1C2fS2+KxVtPrhF70/ADGYITkwUGZ68okn6rrWJrZ117bLven+oqqiSjEY1k3rvc/z/A1veMN8e05EeVn6zAOAxLi3tzsmduxCaMtBaQbT6QwANjY2QgiUeAREIQQRGY/H8/k8huicQ8D5bFaWZdu0KS/PzHVde+e6ti3yXEWW1XLIY3bc1I2IjEaj/f39yWSyt7fHzPv7+2VZzmaztJxms5ljyrIsdJ2pIEDddQYWY8zz3Dvfzha+yLa3r25fu3pifHQ8WWPv1zc2Ns9Oto5sXHjy6fl8CT7buXbVebd9bZuZo3Xe+8wXG5tHynKwfeUydAE4EjGCkRkxoyNAAFVEYCKNUaMCMyEhIRywlfs8juLB12orm2+ASJnvMz0rOiCqgpqFiKIQBJpgXZCqrafzdraMdSMxRk/kWYnqtgOzNCnWAXtmAlPTbrGcLxZCDo7mF2V25r5zf+33f9et524tj64BWZQWhQARCIHRc+aYOHF0wYCQgFZcbAM0A4bxxvoOXg1gy7amGZvFnFDBsfUAtgVEA1S1wpljcHTQa/M5qRe9E/KCeROIiESQIvFD5SgIAF9cJJIMPPX3W6HtmvF4uFnmEOD40eNdGxazmZld293Jy6KqaibXdV2W51cvb+dlkZfFaDzuENi5jc2Nrm2vPvV0cWQyHgwWs7moEqDPfVVVIYSmaSaTyXw+994Ph8OdnZ3c+cw5Ecmcq0KY7u1nmV8sFmY2GA6zPL986VKW56pqqlleiGpdtbnzk8mk67qk36mrGRFVVZX+Zea2bYfDQdtUEmLp8xCCgZkBM7dtRzEW3jdRjmxtLdbWcMl109R1C0AhNB/60G9M9xbDcjSdTkejMtNsfW1SliWguNzHAOVghOO4e+1a3Nu1gWCZ0seCYAYE1g/gRkAG0yhmCkSgCMRG1KsK9PNCMBUBKljK9yAAGEPiIRiKgBqmfVvUQoQQoQlWd9p0cb4Mi0raVmIExNwIATWadcEIIxqBIZiCoUUNBioOkMWV95z8vh/8I0kHOoA2RjIDIodsiAqmAGzorhOlV+YSenQOXOIVHh9apg6wjUJV7bxzy1YMKCdkRjVTMaDei8kBEJD60NWwR0Z7l3ql7V9FHUd/YgiJLn/4DxGAwFajzkn7T0xLVcE5gXZWtRWILMZlOdufmUFell3ojhw9KiKG5JwbSumcu+nWW+b70yIvyZPLMVxrdq9d80W2MRkDctM25WhQVVXKx1bzKsuyoihms9l4PF4ulwAwGo+r5ZIQ8yxbTGdm6jJsutrAirKMIe7t7m1tbGRZtlgs2tiVg8FiOisHQyKcz2fOcdt2qqqqRVEAADGpGTF1IWSZr+taYiiLsk4OWNOlIFu60IEi+1bjhScem872cswRpA1VZCPnJqO1Y0dOgeLp02cWi1le5EzsvVfpzAxyRjY1laYJ1RLMsaF4NDMK0j8/A0VAZnTMQCDQx5wMyICEmpihB8x7AzRLEVSC0VQCwMr5jD0aDarYitattsGqtl1W3WIpXVRN3TvRKSioxkhikFKPCl3TVbFT7XZ2dpdVNcjLzc2t9bVXdBo0BkKviIzItII8Uv4ZAO2gvAMPeyCpIgfIEAGyIwPMGRtDRA3aLGsAYCIgl6iEFlXqLgHv6d6Yu17GAbSiB/VkoRes6Acn9qVyGN/k68zJdN5pgYgAhUidjIYbw3W9cvHqHefO7e7sLrsGHbVNCwabG+tq6oGc99t72xvrW+O1dRoOEBpM2wlRaNtRmQvYfDkv8qLtWud9URSi2rVtYvAWRVFVlZkVg0FdLaFtVc1U9+Z7o9H4+ImTV69emwwGRZbt7+/nea4mPvN5nnnv6rq+Ot1fW1vz3mWZM9M8L7Msq+uakFLSkB23IXimpmmQSFWbrtEQHHPXdSFE9ITs9vZ27rj3VXuPPmVoKoFQjTHPi+NHT0TRIi/3p7PxZDIYDGazmQEcP3ZyNpty5hF0NBqqicaOQxbnjWQRVhTldE+FgTJwjkl6EBgATARIkTkpFCIiJ0/BEihjaiAKZiQCKXIDwwAIqKAQxKo2zKvYdlK1bVVLCKuyLjCzAGZqQaIe/CxYjNLFLkiztrl54syZ0LT5WukmZUZsjED8LG79ipKTYL7n5vIfsBIMbDQau9HAas2AUSQ2bQeWMRux5T4yOgAUkzakWiUFBTElRCY0SjwNADDCtKF9fbml/RKyQzygaCjKTQSw0XDUdW3YW65vbnShW9vciHu71tj6+vr+3r73Pstz64KanTxx8om984PJBJgInUZ13qnpeDRaLJc0yBmJAHOXNVW1NllbLOZ102Tehy4sF4vJZFLXdWw7R65aLj0T+Qwq6NruiSfOx6jNcpln2fb29q233nrl6hV1YGZt2xLRaDhcLpfT6fTI1laCekajUdM0eZ6rSNu1TJxlGSGOx+Oqqpzzjp3zvlouq6ry3iNgXVV5lj/+6GNNXWcbuXOOkUdFOVvsZIiIGGIsimI8Hkyn08lkkuf53t7ueDKOqrnLGg1ukLnMY0KLoxIzgaVUDqAxMxNjUh4VUIVkahABhZiByTARIgkMAE1TksUUDcjsQK8ATUQtRKyDLKq4qLq6CXVrIR4kLxMjwMyiipopAmaOHed5nmW5mTiHG5ubbds2dTM8tcWbax1Iloz48xZI4POWrvT4ioHPMp4MZHvuwExNo8S2w/kyOOdSskEBVVAAE/qnrE6oyNAS0QEt4bSaSEpfehLPr8orerRdJ3k+16lqOjjtoQAq0AoFIe8AYDAaRQiXrlw5d/uaqK5N1vI8F5HJZBxMmrYdZXk5GFy6eAmJB5MJeKcSkdhEkHg+mw3WxnUIjrhpmlSetLuzk2fZaDBAxBDCcDBYzOdFnlfzhc+8c65pmizzG+sbROx9US3r0DQqct99921vb0eRN775TZ7dzu7uU089JVE0xptOn57P5lHFOZe89qZpMu/Ho3EIIcboveu6LkZJICDFwMxMhABNXVsbhfGWs7c88OQVAwttIIMceTKeaOhCGzY2N6qqUZXNzU0RMbPjJ07s7G5PRpO1wSjOG2NyeQbkifpyqZXficAEnoEZiEB7w21qoIJmCgAswGSOUA0Qe7KXGa7cdJSEVK48BxFuRZeNLhpZNqGutRMmROZUb5s0XkBVBRDYMRf5cDyeTCZEhGiEtqwq5/14fa1lMIcKByn659WuL1eplZwDcujXhh1O/aoKO4pY09KyKh2zZYAsqoZgQRDBoZmaEYEnRO6ZWLSi0wB81bj782j58xyGPaqlZqq+LBdN7QrbOLKlCZ80JSIRiSIuc+xcUzWieuTIkanMB5NJVGJXJFijlYAjCSIqCmYSoonGEMqiCF2XJVI7QF1Vg8GgaZo8803TRFUFWDa1aVgslutrm6IyGU9OnjzxxBNPXHzmmTe86Y1PXXjqypUra2trqpp7z4ht3UgIg+Fo0TSOORX4SZTMQKIgQNd2RJRnvu2CSHSA0kVP3LVdCJ03bNr20YcftiA+y7x3hLS1vnH+2qM+8+O1tYThjEblbDZLC35ZLSfjiUbpmjZnh0xcZOYLzFOThf5xY2LtMhsjOEQ5IIYkhkAihSgIorKR4orChIgECKKgmsB4iAKIgExBse7CvKoWC6k7iREADAmZmEhVEVBABSyCMVOe59lwOBwOUxzPTHW1aJpm6Hg2nV7Zmd/8+lO+zPArKcpXKExMqplNRksAJVJQYAgqTsHq2mXeIYlXwZ4Bw4IYAAAtiiIwAqgCsBEfJuK/cElJFuSvjF2qGZmBGIhCFEIyhGxUlGvDxWyf0YnqZG2tWS7zPFsslsyMSGC2vrYuZnv7+2UxyoejZh4JMPPZlStXhbSsA2UuSiyKwjsnKl1dd00bQoghFmUZupA5LyEOy8He7l4yS5T56f5UunptbWOxWCyrOrbtww8/NBgM7r33NefPn7+8cwUAr1y5QkR86sxkPNrd2Q1dt1hW483N0HXD4VBEAKSp68z7GGLu/Xw5b9q2LMsQOhHNfDarKscuz/JuWTt2k9FoLpeJSVXbui6zLMvyLHNNXZ8+cyZ0cTbbd84lFLUoB21TD7N8kOeXn3jq1OYtUORQllImwqP0JUgGBGSOlFAJUt0iKhinVKomsMbUUAQA0p7T8/YUQBXMxBQAVIWIGA3bEOdVtVi2bUemfZadKaVlRMVU266LqoTo86wYlMPhyDHHLkSJqrFZLoioq5r9nd3KaggRIfuK+vWV6nARDKBcH+xwFAwKhkap3K1rusbVBWeKzpgMTEGS1oMZEoCZOYfGQIZkCNRXha3W4LPO7dCy1MNoIyIhWaowePaprVKoq28RFBJf2tQREhlBPhiruo3xpBOJMTRVW7URNXhym2vri64JKq121XIxyLOCCxiWoZ477xppjx09MquWXTvNCCXIfD4v8yK0Xe6zlMli5rqqHHPXtaq6XMyZeFkvszwLTbM2HC1FYpSiLI5ubWGwE5tHfFnsz2b5cPjK4/fUy6WJEKKqXb26LaFb21jvVKvFclCWdVUDGBkyU4ydcyyxcwjrw9He/p6JRGLDzmd+vlgYAoPVdc3sy6L0BJnz+zvTUbHeVt365vpwTPPp0pNfX19PiP5isXCEhEQ+XyyWBDQeTyBjQ7WoiESZpxUsYwBAhKaIya4gOEICQwUEIEciIgKSehOZISJi2mDRQFVNDQGS/6+xgSYuq6puGxHxyCnPk+IvjRK7EEKIUdhx5n3p88JlBta1rXWhrhuJQUEG45HLvHduaLk1HcHQEnjy/PLluoilP1SAcnOEBUZp0g7ngBMkFNsY2mix7xaEhqn211StEwyCCXdVgKAYDaNh31WpR/qfU+zQK6HuaABiEJ/7sIOVAZSwIILMYcbIhHl+5Njpxx96DKIwgXbi83Jz6+i4HMW2a5uGmeqm3tpc37t29djxM1Dkljsqi2w4fObCk3u7ezwoFCGqDgYDJhoVZUqCpopp7z1oZEJHyIRdaEfjkSMCkW5RjYrhaDgqilxD0LbREHa2ryGZy1xdtyLqnCfkja2tzY2tzPmma7IiO3n8hJlJjCqa+WzFtBEJ3cBnsW2GWQYi7FhF1IyJ29C2XT0ajq5tb1dVszYotza2BoM1h4OMyxC6nf2d0XAoQdq2zbJsNp067zXGsiiPHD8xmqzVVbu1dQwcokbXKXVCQUmMDBDBmJAQmR0yE5Nj9GyOzTF6x7l3ecbMqbLOuqhVK8smVnW3rLumCW0LdYiLplvUoQ3WSVc3Vdcmp1Zt1UlLVUJsm7ZtWhX1zpVZPijKMiscUtu1TbXsFlWoa5WY+YxyD96tb21uTtZU9IV4Ds+r7giACqhoAG40cKOBYB9o9rgiYoxxWS0lRFQlRDJAURA1UVNNSQQLwUI0EYvRoljoXyApdWwWNDG9bPUiuP7qUfuUircvPsODYxCAEQgJwIAIHCmTMYGHO171KsR8a/3IzuVro0FJADvbV5fVgjyPR8MBZ5uTzdjYdNrc8ap7QcmzR/ISkSi7+967p/v78+mcDELoZrPZ/nyGSMSUQLpEPo4iVdOwc+VgMJ/NoggRFWVRDgdRIiK2bQue67YuvbeqwboliZl3XQzCsKwqZtrc3NzYWJ+Mxnu7O7n3oDooihhD2zSZ803TqmoU6ULXdp2ohqaTKE1VE2DGzsyms+m5c+dGwyHTIKhtHDl68sSZ2EmR5UePbk6XOy6HlADO8rxaLpldjHH72tXLl67UrawfOQpIQGRgaqoxpgYT0HNaDFMjKkZwhN5B5tAzMKXwjDKHjhGAonInULW2bG3ZYNVh1YUukHeUZ+AIzLq6URFYPdm0VbLjGGLoOlDzzpVFkeW5997AuhCgDbFul3XVklmR5eMB5xlmLh8N8iJX0RfiKn/lHpFihjnn6+PeHbmOkqQaIg1ti2oOqC/xUiM1E4UoEAS6CEEgKImhKIqhKMXU/k0tCoRoB62msQf9D15wHZMxezbvLCUO4ODIhM8QAQE6Bs/gKHRy+113FeOt849duOO2O5544rxKyBxneRY0MNOwKJuqzfwoc2tnX3WvRQUAQywH657zxx591GduPJ6Ueb6cLwbD4WhtPFvMJUoXuhhj17XLugLCYjBoum46mw4Gg+VymRZm6Lrlcjmfz0Vkb39XTKpqgaYEatLGriHHEQwRYxRiIuKmbQkxdCFh+aHrmKiqKlBz7KqqYmJEzLJMJHZdl0qxYghMPN7ceOzxx6ST4WAy3lh3RX7z2dvXRptdHa5evULO0FueF8vlkoiKolgslmvrazfffBNRNhisnzx9M0hqbQBp2HaiH6locqZhFZgaADgCz+YZCg+Zh8xxnlGRceadd0xEhqjGSCDq2Q2Gg2I0LIYDJoIQIYonTiRwXfWmVDWRaKqZc7nznl0CFRIwFesWghATevZl7vIMmAxRwGIU069Z3Q9Kk5BguDExpuSHaXIxkqVXlS5qFyEKpWAlCoiSKJqhKEaFKBjVglgXoYsYFVUxKgRBUTQjNRJABRTAg8pxW/WTXPEInt2ap3dl8HCzxZRkIjroMwNmPM7vev3bms529/YGG2OVMCwK1cjeRYtPP/PMbbff+YnPfP41b3gHjjMFIadiYfPosWvX9s+evdl5XswXoQmDYlBVy6CCTF3brk3WQghZnpNzahZiKMpiNBrFGMuy9M4x83w+z7JMRETEOa7qRTbII9neYh/Y2thKDB6T6y8IKCJt0zAQI2qIZVZk5Lq6SdPSZtOpc65ru67rYoyOKHfeETXLZUYMAAJ2+swZT+yzTEm5pMlkfO+rX7tzdXbffW+8cu2agYjEjY2N1Cfn2LHjztH2ztXp/vzs2TvLI8dCF1UFAIAIkZLWgvWMxdQvk6KhmKkhIjrqMUpH6ojKnIYlDAsbFbQ28OujfHOSbU782pAHhWasCNCEWLUxhKRA6bEmURGJMVl9JlLTdOsSXyPGaAB5lpdlWeS5S819olSzRV3XqZjiKwLcz6vuCiDYOxMIUK6vARMRZs7RqnmimYmIqYam09RwpsdZVUUsCkiPuVqMkMhAyeQnZ0ZXEJUoRIVo/Ss1RlXtX9dxdex/kHK3/f/6w8BSTJBSHIAKaOiBtNZ3fPt3bE9nxWi4dfrE+fPn57N5tVwaah3azeNHL1y+fPHa3ju//btjAMoAoBGoh+Nx5oeXLj3dVMuyHMauC12XF+Xe/tQ5NxgMp9NpnudmRo6NsBwO9uezuq5h1SGHiNg5731ZlqYWJZZlsTebwsCdueMsOFGN48EIg4UuimqMUVUkRlDz7DLnPTMCDofDrmnbpk05VAMTkaIoYohd0zqkGCKYOWb27vOPPASqw0GeDxkzBZI3vv7tHkefe+ALd99z3/bOfrJQXdcRYmhjU9c+d5cuXnnd694MWQHsVNU0plQoJI/RwEQlioqqCIglmi6KAaIipCCUMoelh2Gmk9K2RnRsjY+u4ZEJHZnI2gAGGRQeCV0r0HQQ1RO7zGd5dj2pBCAhMqCJxi5qkBBjjDHV0gNzVuRFnk8Go9JlGES72CyrxXTWti2u2rx9eXleZAZXCUsyI8BsYwAMLrIS9SjJyqcOXQtmzrFGQSb0q32wr9dLikoACW8ykxX784CoEwFEgQjSzMdDjcb7XiU9cW21XYkBGIj16IwdJvwgICRomBJzI9hgY/LdP/CD//7f/R/f8u633PeaVz/x2KNrmxvHjh1fzpuTR07/0x/759/z/b93/bYTzSI6RiAHgOVoeGzz6HT/8plbbn/mofMb41HdNW3blINyfzYrsxwBQtchYar3WVTVcDRqqtplWde1jklVB8MSmKum6aQpiRcU3/sHfs9r3/rufDSZ7V39+Z/4/z36mc+N3Hh9PA5tK6agmPmsk86C5T6rlktECl0HSKbqnO+6TkUGZVktFmhGjE3Xcu4YcG+6d9srboMIsreX5YXPc844QhydOnHXPa/7tY/+4olTx4+fPNHM6/2dfWLW3J175a2721cf/8L5rbWtV99zj0lkJo0GEQwFUl1mn1Y1ACDGlBE1APLcP14EQFBOkRQYkvGKjK1qaYWwEyBQAJMIEEQBiZhLn8cYWzFRlShkBgmINO00shgBp/Q8Oc+ZK4oy85kRWowxxhC6ZrGIy9py9I7tOdixXyxfLlRlAEjYOQCvZb7M0LCPL1ak3GRHY4zNYtkulrFupY5x0VktUMXYdNoFCIJiKNbbdVVQ7UPVPmBViwJ9OBvxwH5ExaAo2nNEg2AwDAadYDCM0gM+gigIYib9fiAIxmgIBkCGMpe3fff3DNY3q51ZDNW5++4cHB9funxlc7D5wff/SpkNfvCP/zGpoiczY+QSIQPD20/dsv/MwqjIy6xuawUYTyZdCHlZ+DxTMEQsfA7Sk4Wati1Hg1aCL/K267oYOmktqkoox05C96bf/d53/P4/Ojx5i4yOrt9617t/7/dunFzPSrYYmVkMTTBzmaAulovZbB9B63pBjCIiok3dmGrmMxU1NSYMMRTDourqelmVw1HXVMsrO8Ni7PMhUY7sMSOJzXd87+8jHV69sHN0cytKO8zz40eP3nruXIWt8/n5zz/zjrd+a3lsK4IRQOogqIhqar1rKqRGainuUhVV0RChi9gJdWJBVERW3Q3BsPcsiJjZsXNEEQnEpAl121YSg2onSuyzwWCwNi4GJSIQUuZ94qIBExBlzN45Xxb5ZFgMS/AUQExiDGG5XM62d6ud/TCvQug4y6B3RH5L6n79CCIE80WWT4aRFOl6NXgCCdVMRLoQuhDapgnLOtRNrJtQN1p3UjVxUduygTZYF60NFgTFQAxUQcyiaAJtoqL0Sp/8pL6/eowQpX+1EdqInWAbIAiIXP9Vyt5F0SikxtZnppAAHJL3f+ov/pX3/+qndhexasBno5tvvePnPvjBD3z0I//XH/5h8l4JAAkJRUXRQO301nGrW5F406teEcFcls0W8yzLmHhZVapKSHVTF0VuIt457zilP2PXMZKGiIZNXZflIDRdPh68/i3vFslDEMMmdnPydO7uuxddlxVFQuFEJEqsFpV3vm3bpmkRU5LeqmqZehvGGKuqMoBE018uK1Mbr62xd+uTzWtXdyeTDeezvCzReXJeFfLB+P/0Q3/64c8+fvnxK/e99r6qm80W2107H7vBQw8+snHs6Hu//3vVjAyAMCEtsEJ4k8ZTVIori9MJdYJdhDamoJOCuE58F7GL2EUWZVEUNdEESGgUXwdb1N18KVULUSWKhCgSHXExGo4318v1iRXeZT75ys6AAYnZee+dc0ApkaMh1nU925/Ot3enO3vz6Sx0XYdmjvQF5N5fULtXM0BPflIGmhMlX6JfCaBmYIRkZiFGjQLIPveJJOMIQVUhYhDoWDMm78kSSxchQaWmkDoRKJikgNPYJS+l74JnIimxTNcTVGigqQFECqb72lZCwjSSQHqqNaKRda2cufNVf+mv/a1/+N//9be+9bW33n7rv/+pn3nwocf/wT/730/e+QrpIhChQCpEADNo5cja5rHx5uMPPXburtuDamzrKMIAufemaohtbIeDwWwxLcqybhtDiCYEyIjIaM5F6UbDSYgtAq4dWZ8cOS5qogK6yLK8kXDkzJnB+mPdssu8b5tGDaIGYhKJzjlCatt6Ot0vipwIvHfb29upc22e58vZ1AAMtCjyeb30g3JzfYvNF/mYfEbeGzM6B+i6pn3F6978ne/9vn//s/+KCnvNG1+vFqazxRfuf+izn3n4b/y3/32+dVTqDoEMAYkMAY2p758KoMo9rVfBDuol7QAVADNQBSak6+2NND1d6/s/U21W1VZ3PSotokJt3SBi5opyNHJ5hrkX5hhFQjBiU1UwBtAojAjMoek0xmq5rGaLZjZvm5aIXOFsMkRHqdvnlyeofGV1T4C3ILi1skLNyEhXwEjPRb9O7DUzwH6sBRGEtiMmYBJRDUjimdjaaKKQETruKwOSrqMiEwEYIUY9uG1phAKqHaJTGlgq4cZERUWjfiszQFhxm+igqxsQc6zknne88S/91f/uH/7w3/w3P/HTN5++5Ud//F+fvPtOWXboMtI+SWUIRCQe3KC87dTNn//kB06eOHLXa1/ziY9+dDQcIcD+/nQ8GpkIKYhIkeUao2fXhBYAvPOEFNoWVBmwbRoiYECIJu1ysLFx6eKFWXXx2Nbxq1evXtudjtfWp9NLy7rpQyGwzHsVlRi7pvWesty1XZNn+XQ6PQiCq6oiYgMTtbZt2eVnb739wU8/UM/btbUjviwpy4EY2RMTAGvV/MAP/RdPXXn6/T/389/5/e/ppCn88FOfePD7f+9//vr3fHuc15RyeQiWKH1KAIZq6AClB3kPOAX9QzcDidA/n9S6UJIxUkmz3kBFNUQT1VpD1cSmDV2QGBH68LdrWiNjIp8XQ+aAjET1fNFVDYKacMaU0rOhg7auYheWi0WzWFobgNCXeTYoytPH/aBQEwR3CCf/Lak7rILJbDxIhSirOg1QTV3LcZX+RABQhACKGlkRU+60h4jQuthBDY4582pIMY0USMVK/Q0lJkDSGHvSRSKyr+plAPuhImaW+MQG6VcJdjWjVX+0ZPpSwSSjmSGjzNp7vu1tP3zTjzz42U9+y7d9W7a5FurI7BIGmq5LVMk7KRjHg9tvumX9U/knP/ih7p2vffM733H+C49cfubiaDSqqyrPMu+zpqqYgdmJBJB+L2qbhgCbpily75hV42Q8XlybPfixX6/zeNPRI/Pd7fmlS7/+sU9913u+5/4PfLgE9FkmIqnWm0flfDbzzIgYYsgyb6ZNV2e5r5Z1URQhBFNt6hoIfZFhwC6GUzedPv/oE+vjja2NY4PRSBGBGZiRxSAaZhHkL/z1/4f7u/5973vfq++5c/vp/bvvfuOf+PN/MTadAYH2VEVLmy5C2kiRUhCnAD33MdXFG0LfvitRUNVAADT1bVEDYwSLidGoIBo76Nqma7tWYyprVRM1E4kSOxAdTEY+y2htxEWWDcpqfzafzkLbICITd03bhqauK40amkZCZOeyzPlB6cp8dGwLPYHKc+jub0HdAcHAsvUhFg7b1MTI0CDEyIBuVZqeIhUBRDNUldh5IkBG0ZRQAI1mRj3lnlUMiMhxKvMyTCQ7VIkAqH1Dmes04F4frzs/CgiY8rEKBgII/fsQQV9jgIYICkRgEtlzG+TYHWdPvPps28amkwy5ZyioKWpaV4ikDDpwR86cuufcq//jL/3cZz/1YFmOBpPJWe93t3cHxVAk7u9Px6OhRokhAoBEKcuirZsyz1V0Mp4sm6VJLApPzhDDf/p3//r13/b6R7cvXr2298zFS+94z3fM92fnH3v83nN31F1bVdVwWIrpcrEcDAaL+Xwynih0sWsR0WLsTIqiYOYQgqqmwsvFohqurb313e/+9Cc//fSjT73prrdtnTjhiiIyrGrXUwtfU1Az+HN/9a/ffPet//xf/thrX/f2v/x/+xtqoKJsiKo9KGEAAIedRiAwSx4jHbSRMDWFVGukluAHMRaQhJ2riiiuAGUVjQpd24koESKhaqJAmaqETtWWMcZiOOAy90WReV+WZTYopvv7ddNYFBXpQtvUTerWxlmW5Rl7l+UFjUa8UVoqPf3a1T2R1JyJjHIcsKti6xylKJwBMPnQB+sCDZjAQFP3AAAwNKRU74hAaNhFFDU1l3skMDMgTSlbAIAo7Cg1YNK+14AB9OQvMlA1SiUjlhx6j6iAaBr7RJSBghkjmiEwICoBGYEZIHlD6zQ06h2DGhmAWYwREZTIGWBUI2EEyGN+YvNVr3rNhScuffAzH0Jzr3vL604eP5rnQ4nw1BOPF6NhNCPkGKL3vD6ZzGb7zIRoIbYuy7PRWGOo2hobO3nmyGd//XOT9Y13fve3zyO/7dZXbI3X/85/+/dOrR+vlvPQNkWRVcu5GjC5qqqc94u6Um09scVI0QbDwbLtlovFYDBU0lm1X2BWFqMTN91aBTv/0IWtfOsVd7x64+aTNChBAhADIppPxik5eJGb7/lDf/y7vu8P0KAAidoFb4iiBmboEnS7mvqUnidYGj2SmhMmgioAAjggMIsRVAwNNYpF1RhBlFQtaOgkpcvVrJMQ28CILKnRoQH3O4gCWIxxIaFpXVkMRqO8yCnzk82Noih2rm0v96bSBQ3iyfssMyZHYEzeZaUvbH1sR0tCA6WVDn0N6g69lwAuc25QRJgzUSpNd84lM2CHumKklEHK2xFiaha1ss1mhqQ98a0DI2bglDGl1FEVadX4mMl6chIAIlkqPUz2PXlPLlkfs84iAKIAEBJo7Ck4TIiE2PuVqzVpYMbEkEaFaY+fmQEjIcGqZgIBSxzwmdvvvPu+axf3n3ng4w/sXLv6xje//uZzt6nq7XfdOd3freeL5f6MHRnr/nx/NB5F0WXTZJlvuta5XDvJnEfU2c7i1Xfc9cH3/+rTF6+++t67z3/6Cz//Cx/YGK5vnr4d2jpjN5/OxqNRXTdMzB6vXLly/PhxFdvb3VmfrKHLdnf2uMjXJpMuhLZtXeZClPteey8Nhr/wUz8r0+aWV77y1ffdO9pYB+/wi6rWU8SPiIhSVey9hoBmZGl44JfLwCMc5EgwNYZY0TrURCEIiYCCdbHvPiNiUUxMRNQ0jWxIXTglikU5sMIEZJg2Y0ozHgNYiCHVAedZxszDwcDa0CExMzFngzLx6wXBe8cZu/VBWZR2uFrqa1T3ZFbJORqXQvMcSan34VNrl+QwX+/2YomYSCs170OZdKfU0tYK2qmQsGNkAsRUG0pEq+C174VnBECEvndryLAniymjgVFMvfTBnKka9cF5omL3Mw4kjVFMy7Gv3k7tElJ7t/4JJpKmKqiieQMPDoqtI6+673WhmYPhp89/7qee+vebNx27+757bzp9SkJ3+6tf8dQjjw8mw6eeeHz9yObO9m5ZDovhsGla9plFBQUVU4liOpqsvfNN3/KLv/Yrn/rNT8auOXHq1LmbzobFAmMw05xcV9UIUC+qrms31zdC2y3m+5trmyGEuq5dlo1Go+Vy6dg5Zj/I3vDGt1y+ePXBj31y/9LOK0/e8Z7f9e1nbrvdMge04ooe8knwUKe61K4Ouigh0leE7/BAw9OiSTphKgJRSTR0EaImq6b9+M6+NSIDS5QQQ0oGcz9zSm2VP+wZ4as42EIMUbSL2oWY50xMzHmWO6SmbRWBiJSAnSO0zDtjwEkGjGCael9+HdQ92WkEyNZGNW8zkvbUXsODuQ64Wlt2nQeRLqOv8F2RpwFM1QitbxIZVUWJ2RD66Q9mRKSJkcZpNwUzQ8fAhISWsqoqqToJ0ZAohUomQswgioBpzQAbpDdxff+zvkK4j32RAI37RwgJbUstUADUMY7KrZtOvw7e1iEo04UrT129cO0Xn3r/5tbG2Vtums0Wx48cQZ/d8eq7RGMxWlOxC08+OR6Pp/vTYT40oi7Grm3Ho/GyaUztO9/zu3e3t8GiEFbLquOYOVc1NRE5ZgVEz0U2iFHMdGPryO7uLhCO19f2p9P9yxdvuulmBLj3zjv3ZrNHH37igc9+vprVZ47c/B3f+b13v/YNNCjFOwDS1BzaVrMMV5dLaV9UBTMUYwMVRezLiL+8FgAhGELPFUvEDaO02aollyShloaq2k+CUlNT057vYQy4si944BQkd0BVQY2ZQLVrWgTEIk/cHRNi7wiBvAMwTO3RHUPBOPbEaC+I//sCQ1UAABCAfG20wN51wRUFtzfhz/knIqtLQgAiPsSmTLChroBcEUQyFQVBJiRCR0ikpkaQqkMAINUB9PUhKP0OqwwKYIraB7KpWyoy9Y04NG0+qsm9W6WEAWDVkGz1bYI71UzE0MSDZ2LNJ2dvenP2zkFefOwTv3nh0sVZW+3P5p/8+Gfuf/Cho0c3zpw6efaWs97TLTefXUyn73rPe7/w0BduvvW2xx89vzZav3zxmXwwnLfVaDiYz6a0nBUuix0sFnMAY6YI6oqciWMMVdtmg0HoOjV1zm3v7ZfDURtDBTY5cfQ1Z28GpMz7zz380Pxq9fTlq10rZzZOf8d7v+uN7/xWGo0gz5AwBiXn+otK3KLkcwJwnzMxAABR/JKimcNy8GAt9Xe2VK5h0nYmoqIWFdSAURU0kQKhh+GTdUvQqh0QTtQoderAHq+DVSV1EpdG8BiYmkUREYfovbcoQEh9VgXYOWRiBvHg18sXrMJfhbojAPhRIQgolhrJ9O7cCsL7Mnctzc9TBYPUwXSF02vqfYqqCtSHxWRpsIoBCfYNrVL2CQwAeWWI+nGSaEamRj2AhhojpGDWzIhQAVxPo7HUJSLlRwAOmbTkcymKtnXty6LInErqKQSQE/Bgk0+/JXvH0SNbn7n//kceffTidGegk1m3vPz0tacvXPr4J+5f25icPHLkxLFj17b3xuPxYlGdOHNqNBoO10Z1vdzanCwXi8n6ZD6bZej2dqZHTxzd3d9Dnxq4YNe2orK2uUY+824NiabT6b33vWY6nQ9GQ/B+uZy1MT7++PlLFy81VUsz8ll50+nbftc73vOu9/zufH3NcjZGM0UEVUlJH+29SYC+wWbv3+DqeXx5q7gi4mmay61iLJrSAiCpcgkQkTMHHZCRqaxQYJUEVqRpb6CmvRNFCLAKJOCQFwAAoppqu5lZRDCK895lPnSdBqOEWjOxd0TsQNRBalr6AuUFqzsigmWDHAc577OwAPaVUocLLxCQAeBQcGiraW6ixsiIrKlwNwEAlO65AR5Mde3NAwGAoEYFNnKMRuAQJc1uREPsT17VVOiAKGZgAmQIBsaGDgHMYkKHsB/vC2AkyIyQeGTYw/jagZrPHHmnZmxAnfaTiJxqyf741m2D120cP3Hr2dseeuzRJ598YntvbxtnAXQZq9lOtf3MI5/Hx4ejcjgqJ5PRsaNb5ahY35oISF5morB16rQfjTc21oe710TC2VfdNp/tbW2dfObpZ04dPznd3hlNJrOmjiGMBoMs93WMF69eocsw29kJajv7s2pWSaODbHBs68Ttp25985ve8bq3fwtPBuKMKKqqGbMAgQEZcApF+65XCAYkYARAdjDJENEOkIKVKAKs0thmiiYgZIEokqmiECkCKDEqowYFJUAG1L4+CfvhGcmlcmqSmN597UhqL4kHMd7hz73esBGMRNQ5l2fatVYbM6dt3xw74CzExiHnDmDVzunrpu4GiuaL3BUuQEgDW/BLumgcDDi3Q70+eo0HQwDHPcquFpEIAInw4O7YqrsIIvaRqhlaH8hCBDUlTpnqNJaqJxGkj4QVRqQq/VhVTRhlGnGavE9IjEz2gGky4EEk1hM8IkYxQIh9o5SUJiBy6LAckj99ery2dvK2W648ffGxx88//vT5q9tXZ00eQbqRthK72O5O51e2d84/9iQQ5GWWD7Iy82Wel4PBaDgMUfIsKwfFcjkvy/z8Y9fQcPvSfmy6RmWhsV0sYxuKLFtsz6d709B2w6Komi4rhuujI1vHt06fvOnuu197312vOXbsOA5KcWkXW7FCiSwamAFxqkLCAytuq767hxmmXyIpN5IcGBAAY9NUTZWMuiAAIZmpiKShEtTfx+RRWnroifpxYMJX/wIesGZXZ5KgvERwT+0GZFXonUjUse0Sc8FUNUYxa1UoH7gsMwB8vit5trxQdUdEMiQPflyEq02GfJCtPcQhSKkDOFC7g7/F1IMBQGNUBOBkn/v/cJUU7b3DdDdUU1QJChKiqqBzYOmuEmAfdiUrdRB6HmSjUnsTEO0fsvXhA1AqU0GM0VKH8tQBCgBUIYpLKTFJ+EwPQCGaSd+FmMqyzLOTg9GRzWM333TrPVevXnj6wjOXn7m2t72/P102VauhjrUOUq5Wu9C1i1iHBcKM2DVN7dhnWdl2jfdsKjFalmcm2rYtEAMyizlDUB2Xk1PrN69NJuPReGvr6GRta2tz6/jx4zeduXn92CnnGRnBATECM6BgH8PHHnQSSU/k4LnAqkogrYEv98STF24GiiYIqgSqEBQ4JfkQAAw9c9oeaYWHqYjBSt1FQFXTfX62uh9qxNIbuPRvD+itnmYIgZmLohiOR4vFQkWIiQQMtAHhMiP3jXBmoNeibL2s3G5+yDAgUoINvzRkfZZ1RwKVSApEKTg3AcS+aTD2F6xJJ1e9e0DAUvkUIKEoE6GYgSKRRjU00ucYoMBpPaSnJdCj62kvSYOuejoNARIQAkYDMIgYVbrAPie0Ht4x6x+IKGqaVuKJc+cKn5fleH3r2MnTt9y2N92dzvcX1/am13au7Fzdm+7uL2czDXXbRZeqTiImIsTYCDhEhULNEpwEIgoecUg5ZuvZZH0yvvnMTWdvuvnYzWc2j2wNRsM8z53LmDLnCZiA0IDMEzhCUOSUluint2Bq1pLUaKVSvalefQ/6ldr9WNruLJWwgaQCGkwRZqruI8QUWxJacuh7OPKQoJmlBvwH5q8P+vCgOV6C7w68mgPtT++QKjzyQalgoQvMDGqE1DLlkwHx9VzvV5SvwplJZ5qNijkn6iClOoykQv3Xz875H8xKTtkeUrDrcSoaA0jP4jIwJOt7jK3yy71DTgAK/TAJQlMFZWQDx6kUG57tOEHyCq1nJQCCmSKRWXJFRSMAEzBiX9ttiaEtEBwQAyVYDUR70o6mu4+QbBIyIYNTZI8FQCGj8ag4urXV1dhJt6iW81k1n+3v7+4sdmfzalm3VdV0IYhGVSXi1POIHXtPRZF754moGJSD9fHmcGNrsLl2ZGPz2FEaDYHTPoZgmhBAI4X0smjOKwNpYkworXZXEUmboZpiOvW+74P1Lz0EuwAcsl0rOSgoE0E1ADEDiwDikouDSGCSdlETlZBSSQqqXddJFzUNzepjh9XHrLLeppYWwAoxuu79IuJBptLMUkvxuq5dkbssIyQVSX+mnvPJGFYgBr4Ajf+qrDsYgB+VxgixH89g/c3p/Q6EVSLikAoCgIoS9Uz5ZK4VkTQ1TCVYTVF4jmBg5dslFDcZgKTkmCy09aZLDxn5Pnqm/gtLE1JSlJtOISooADIqqVk/ztOZmUgXyHnjlDlejVkDtORfUuq6jbYiJELuAJjU5ZIZIG+ul90WtN1NbYuhbjtpOglRokC/fhEJiR1mufeeiyLLfIZMvsghc4AOKAcGZWxNWQIRiCVnT5jUGJQUyZwZMBozAIHxypMAACQCEFAVMHcAA67U/dAorJWKrZbBFz3svkYDMIKJARJ5MBLoVjczccJMokhfeBglRhMRFe3rLM0OQeL9k019Q1dw8IHfcvD0aVWy3StPMvAtMBGIEoBjVgA/LLPJUFfZzS/SnOeUF6ruSpBKmdxk7Mucpga8Gp98QMpN89dAwIAZ03TvA39eoJ/3YGoEoMyauo6hsqXeSbjqXn19ocOKKMYGYCZdJMcpAIUIpn1jGaSEuB/0eUsOPWKPw4GZpLsizh0G/w0Ekt9JqNHQgKJZiCpEificOLcS+3WGZBAT/GaMYOYiA6I5NnRkakLRo5YZw8hHKLWPd4NB3yIzJcCQ1QKAAKjLPDIKoTGTQ8AIxgDo1JF1yTYbJABYUD1bTuaMA5sjZQEjEwICKMzMUAACopkIQ2Zqq0lxsAo84TronUAaOBjhDtBv1AfNUMGAVJ2YEiuQKiiZQap3UtAOYhCNMXZBumhmIhJigOT4Qd+4kVAVQJLjSoS9C7wyiweRmxkiepdKZrXPsiMiok8LGFGZiNhQaTJww1J77/jrbd0TQujyHDMfYkfo4FBMnTwtsLTNqfWQ+vNGQ2n6c//OxKlrfnoyuHJpUudNVE28GUu4bDQDcLhCJFO/ASTuiQCpzfuztuqDzRH6ANgOYtcDrnZaWkjYzpc5Imc+GcRe3ZMdigK6Ik1gv6DQ9R1CjMxUiCzzrjc3UalHQiBH6ud7Y3JbSSRth5YGMic00FKBGZlpADRkTNXuKZAzYAQm4kQH6u9S/2wOnhFiggI4eWlpwR+ogk+9mAFpRb5I7/EsIA8PFkh/vpR8ECLSoFHExEBUW5FOY+ikC9r7LyqrlpoIFCX2HvnBZgsgMTpKY/MQEUUVVyOMDjzSA/cdDhxjTHPmMPXuAyI/LMAD4QvGZb5aZwZM0SMO8qC1B3ZMBzhM//veaKCllNLzbzG4ElgFKwfqfjD6J73DyhBhH+CCmYgJAVPqGyZqtHJO8Xpa5fBZq9mqlc3KNTIzWu2maQcFEQAs2TOQRu3H1KaTT3wMhD5cQwRFYEIA435X0RSxHb5kAgA0NaS+JCZlVhLeweDBGNAhqNjKmlrfRQRZwQTErUwfAGCy+j3qkpgRCeVbMb1XF+5iiIiI3qu2sJrPDIAIHqBHqS3NFeiT489+RnboC0uFNCQSRZUUQECDQIga1KJZJ9LFnuub0JjEEupvGj4rPZvuIvTZGCJK9IEDXDvdvb5r1cpIQXLR0kImJOLAysMcGFaX8ILkBQORkJY7ssNsbdjwjLzrU+4rSVWt6bEnnFAFbPX4nwO4Wa1j660x2mqQWLpy0TT4d1Wml4IsRCSQKCnHBr1/YLYKiw8+LgU9yYSDWY8eae+2rhDT/rNTYgwNmkVVMGHmVYWIV5ZDDaCHRCQtPABEdNzTrZIa9+Y6kVVQ0+xY5hRprGZkQnIRYDVM01KeOZk0Q0gALFBKRcOKzInAiUmBydb2TnmKYewgfZpOxzmnZqqyYqQirp4hUcpLJNMBBqmOnfsWP/1p9DnXtKGBgKkQkohQBAxmrUI07WJoQwxBugipBcpKcRHQTChNycLeUmPfShvToasUCh7o/cETTGALrX7eW8ZVzTcQqsd8XABCPzv7hclXY90N0EABirVxzZcVAcz4eka1l1U4gtc3mQPP4dnntVoD/SNCowN2xeqPAA84nQdpEQQAVNHEj0sstethajosQeeJsZNSiJYafgCmwgKzPr1q1lflICGDY/bemRmoohrC6l5qH+mKKQES9O4HiZIjRGK8ng9Y1Qv2fUQOTqxnQfSXng5NHXIRASi16Ok9BwJzYH7VwET7lZDsweo90pWpJrLQ6oemxBBCF2PM8oGI4iFeShqlgiQpg5nQWTAGIIDD1UC2AiJXNRxmpioxYjDrRNpgQaQLEqNFwZSDSpCWJpOU2Ncp8EQzBQQiQmYEBLaYSvjMki4752KMsPKND+i0/WJAAkRbTdU1xugsL5xAaujxQqH3r07dAUEAsmHJ3hkYpaTwsw9Z2aLr6p5AlefrzZpyyj0Es1L3A79tpTsr7Yfe2yEAUVMRJuqV5JBbpaC06jqGK1wiKTauKoYPIIs+JEIQ0y5aG0JWZKRK0hNCoLftIGpBhA2ZUJOBd45iDq7f2uAge4kIjuH6TnL9QtKvARBAgSKAIrqerqxmgAYMwAQONLkpRthjQwhpBlV/qcmgGqZeF/3nmoFaIIaMnVlETA6WrZx7BTQEAdTVX32JM9ObA001x4dTpDFE7DQ2XWxaiJqgmDRUTET6Gp3Ekl355mmeZpr0kZLbyQHz3qdgD1bKfWDF+2hw5dUkbUJCwFSNSQCAnqnwAi+AynlIvhpnhtOtVh17zLCoWZ0zFLIDhCaBsIlQSpKAGTUmWo1tun5TbRXmAgAQJjMMokzEmEZEAABYqmhnTBXylroMRIU0o9PQRAARjHrXvz/MAIyIUm8zQ0rwr5oloIMQGcjQFMCYElYNQIzkjJ2ggkmfA0NVTTRXS2x7tSi9BptK5BaVlAkIyfe5EgNFAUx5qn4mlq7K5BEgfXICvByyAljqmACWMsFmKIhgqKnJAgICdIYBzIM50J4PxAkdRwNaOUhkyAhtCCG4tbGZ8cH02R4hS4uQEnkGwQxj+vj+ogzUJCVlScFEVAJF42jYxtjG1NDUgsQYUzNrMVE0pOtoIpkAIjBr30QYDx73gXLbCkHs8YCVZqfNIUVGKcrAlPNImyKDqfiy4ILIBBOn+Our7r3SIxBiPiiwcFYnF61HzOHZnjmmcSVJRVaoDqy2py9624TSHBh1ifEAfO1F+7rUhF5Zn6M1jWaK5BzRs4Krw9K7K9d3c+zZ7v3zT/NNUmbKRERD1BCJM0iFJgAHHcrteu4sWUWMYugUhIwRmS01bEdkYmQA61KwawrIDGlUep/o0dXZ6KETYzNFtkPQkq62AoRDR8KqUBr6/KitXOSUizACcsgmKWI53EoW4bm1o48SzMBUKaUyRGMXGCx2QTvBCNrFtgld14GYiYiIQRqcfCjhCHagsIBkqQDoUE8OSPszUWLFqOqB6h946s45JFSLCMn6U9Kc1U1RV+bsXN/74AXLV5lmSqRazzDM4+4iQwAw7B8GptCwv6mIaAZMQAaiq4D8eYGapH4HKp62sAMHBlJ1wGr2lYkCWirKEQBWQ4Tn6xKY9sG0HQOs9v+VI214AFMypkcnIqIYJTnV6beoPXzUB1Jg15eIpusnTspCAIiKaoSEK1IEgkV/gEbBSuO0R2MJ+h0JwBQOkb0MFfCg7/fKyU6JIet54QnnSAt3lTMCDRLa4MuBqiL0TWwBwOBQzcGz9d5SEaoqpmprEVAjM02VeJ1Ap7GLMQSNAqKpBDvVa6frMhVduSKrx3fdylw/zCxRBkII6dsDnkxSd2Z2ziGCrEyMWV80BGhoIIR+VBh8BdrPl8pXCURiX5Dh10u4uEwDGhI0cHBVBypLRInNbgAaNWVzDi4srY2DuCR9nS4srfvrnjeu4qjUwGQV3yiqgiGRiogQIWKiT0C/AJM9xhXQmU7Jnt2eYRUQY8JCnQETJe/LUq+bVKWWINGUScC+by2YEVPvj0ZBBWMDxgMyat8RnfqliMipQvHAVSaDNPEi7Y6U8mW4qhxNK8FW1h0AkQH7MVcHDcEThJCik17PEEgxIw9R09yuA0TIkFR7t6E3VYirLU8suUUKoKZBUBSixjbErpNWtBULGmMwEY19E5aDBQy9GT6g9Sasqg+TNNXZr3TDOZdsx4EOADzrrQ7CVFsxatISJyIAE0Ic5P2Rz7NbPad8leq+knx92NA1Ak2lo3Boul8i5qfDiDntd5hy8qvDDilZvzwPdB0OMW2gp6P3dxUMUv5PRFLaFnoaC6UOJ84xAUQwR0SIMXSqibBOh52ZFXCCafopANAB8UGhXixd5okwZaQAAMUO1I0Qg4pa8lnQRJNZp5TVUdVourJYCUo3AuSUklZdwW0Kgv3XZnEFxRIQ9yaLKI1BIkmjY64384GVO2SQTLKCRkkpr1VIAdLGrgu+LFUQD6hXsBo7/jwKktYKqmkUDRGCaBek62IbtRMLJl2w5LqYkYEeckG/9N0s8Z76qTXCzEnFnXPMnPT42U4mHmCRSfNXGEd/zdBbOgJPOCwEzEPfiu4FavxXre5ps8zHw84x9vc/mV892K0OXJq0vV73wg/50LBS7ue4TYeWxHXogMD6nChc/whKVk0BAZmQmJjAlBjRjJlVxFbOe3/+q3c9GJECsBqTYGZqw9GImTWKyerHPV0NmDlhYXjAz1Y1VTIwTYmVlMc0QFBkBE4AjrKxM2CwKJIomqDMHC0gkuJBoxEzTcObzciQTBkBHGDqoWOQqJC9p2Dplqpo0v6eHpTKi4iKojBVMDLjAxzXUOG6uTl0zw++FtEQLYiEoF20EEMbJURpIwTQIAoaJabsFyFFUHweZeuhsJUhS/qdZVlaHnZQn5qey8HU4gN3CK/HYcnYYQIbCF2eYeG+SkcG4KtjRPaoorKZG3Fbwsacmow6AraDxjK9WvQ9uS2k3TvV5kl/141WQ67IwCESoB6q0j38sdrnQpQskVZW0AYARgBKtXyMEYQjxADkGTEBxijqBAxIEQywb9RvfSVrGvREqa1S7LvXkmI7r9MMIrTkd6lI2m3Seus3XxVQNCQmSR3QbYU3pkANE7oCCGrmmKMoMfd+OxoxEJpENdBImjwwIiTtgTVMgwE5oEvVhoCUUqrpqauAUerQIwqAsiJGmBkbgFJTVYMsA4pgMXXsMUwLC6AvxyZNuRtSQ2RFTV2OYjSJoYvWdhDFuihNlBhFRDSmps/CHE0NlZDUBFcVIQd2tjclK98m/TTLMu9TWvc6UHNwMBGx64dUHl6W/ReMkbgQQgvduMAcXepv+EI1GOC3YN0J0UDZOyiczhQseTNfvL4PRWWrnxBS6nOZQkYwsxVEAj3u/pzbYnr3wx7OdS/PksuBSKxd7KzNMTWwRVDQaBpXTjesKq3SFLQVTM1EmBp/QlJrLIoCDFUNDvG2E02+DwCuf/wq84QAmopxlZCixoOzAwRkFo0WUKOsuu+gBBWIyW1mBkn5Z0LB3uoSMyGCp7R/971eVy1INWpq44ViIGLACTFQ6+dqmJl3TkXBtGeV9HHi9UA5xbeU0nRp6oRIGhMNTbA2SivWBQ2JPdBTHAmhnwtJuDK6PUD3JSnHVaqBENRSXdKBUZfVbKYD1WdmZoZncw4ODujVDzCYUulSs6OvIqEKAF89EIlAZKacuXxtXF/Z5+ef7IfPrkxJp9+HU4igZn3nwevlwc86+LCYwSHnvg/hAYhZxRIUQoDShiqILzLHLoSQdBGg3/2TsrJxnycHMNOQ8op902AQkfl8PvYbCoAGqZbscERlfdNhTN6QiiZAA6Tvt5xy9ikyS9plFpHZESKARoEESGN/qcwMqJ4JETWaYlLP1BuKNAo6SZRCcJ6dT7Q5B0hGsW3VgBTUQsrWYB8FaFc3IcZhmadg19BUkMh6NDOdnPOEiGoJh9EgGiK2UavWlq32Q7V6Xq9G6YNHWFGM0trR68b7i8DoHqxN7l+aiixiZgf442FttpUcfuhfrO4GgBgJXFnAVxmkJvkthqrAzOvDhnZH2NfofJFcN4Arg53cXztY0CvP7Dk9v553ccCJA8BD1n2l9LDqZSIQgYlFRSyggpEkhUsAZqLl///Le9smOZIkPex53COzqrvxMrM3e3snUhQlUvr/v0ImfZDRRDN9kEnUSaJ4FMXj3e4MgO6uDHfXB4+IiqyqBjAYAHsyxY5hu6uzMiMjPPzl8bfpDuw1WPosezucCCzLkj5On1CwkWtDZvGsmnpU+vfZ/MItMrs5AgGhOOGIIuJbD3jvcFuDUzwoGTifqzFqwQjEqRGbZc113wB1zTAeAu44pZxic1rRpcNZGqSWTFQVZoCauTCjyRLGRiTVOiJiq3Gqdjr582YfnvBY/VRbVmg1D7dkFiJZEYgiGRIm3ZJgV07ariWz6xvaNMARUZOr3ik+uku12+LNNBnUL2SrX46wRQ8PR3Y29qvGF5B7e4q+uf+Zfm8Obd7KK1F2jtDvB/SMV3rrsTQCHm/oYPNxj57IiL4KmowuJbgZKxChIqhhfooAtCmCeeto5827kcYGtQQCzkYz7RozT1B8RgzQ3yGZWljzsCcu1GCRboex+7fNLcIFMpife6C3RTaGTk3WGiMHQCeFFk5ETbJ1SIRYsgozT6oyANE8X9JBIT9tp7qtD3dkDa8EVAhnZJkUBoC6WUod3zbfLE6bPW/16dmentXULWo196ju5tYoUkSyH9O0xU2vudx/svvz0uU0wMeLnT1fPZYhGny5v19nVfcHHNMAuCaZT4wv4e4EDXF8/aCHNZ6zQlSrhjPPHpO3yL118RkMO+HAm5Ihx+CsmE75+DU1/sH73byAAtRqVk2z0fYSUPGw2ZwxtxjMJjyiG5ruHkH3p6enJQsRRqsFkuVAJqna/DsV6aBiY0Zxdhp4hIAhjQTdPHpIaL42oaqSaRuI3niCEIhG6l4BSTM5qNLWuJVBIgDPemma/jZvKyni7jU2O52q1ajmrMi4mvRPZcgQHECN2E4nCUTWqXs6+bZhczzXU0byZi7thJaING4+UJOk0e7fOu/mIF+KlKUsZUkgUlUz9GDA7fP16Ot7rdOSGY4jzpD1C7WSz68zc/4poAgejuqvwEcyYOJn9443HrMzVFuFtAaeAlDRDPt2obclO+d3Xxgr6FxziAsA3tux5hnaYks6AxCgFEWVcBGl1TivZq9eFh3jbNMWQQQl7u/u3M0JoUiRC9M/IqyfsZb+nebBxNp7xm0iUYktp/ezifh0vIb3M9XNbyDjDFL38xYxhSYDs7jZWBARQXWQKu3YRERrwpxEWg41EC6lFc8nutcOLXAoLBX304aTxWlzM7dMzzBE2Mi+y8QSoTOkFAE8smJeV0VJTwurFbRhIBFKllKWZSlaorulozsZx4qNl7LM/c7IvJkGgECsEVU23C2qV7Lk88avx93ZsthwkPX10f7DB4qkKG/lpXug4U4BSLNtcEcABD3T68Lg6syMnRY+ubdgzue+k367SyL9ERFh7pttiaYbQFctmrU6VDUVfXQJOILjU/60uszudP/l3btXy1v0yPscqbt7h5Xa2eA54AUTyUYEzLxH2COrCxEZkuBmSFfnWTEjW74v0O0WDCIHrBp6RKmfiwt0z4sMKREmomQJeX58foa9/fG1VWNz1uW907BOgzHcPZ6rPT37VjO9FDuV2gFoRjJKRqszeuD82Fn0ybOx/XYMHEiwJVsfZ9PjBhioJgwwomVyEZufFt1gm/hmAES4QO8WVXlZLfjY+DJlpmnS5f5Y8X4hieaJcTaoK19sdpJN1N+yzkKCqfN72KDpKUU3r74p1+ZffVqv1nc1S4NVMqoUjThz9+hsOH8dDmD0h93f35dSIvsA9HIRCZwlTyKJ4UfbT+/CTZji27uFigl3a9TUQxua7OqednYsSLu3P11d8/1Fu5uPzDwYBGDmIqAsy7IsR1aT5iRrX2v8wuG1hnnUak+n7BeweStjFPuxlBIcIex7kc3dB2NuQ141aheJCDNblmXbtvxTKQWTdZdqUmosSWHosZN5fQAhNDiWgpGv/CvHF+lA0c6aL3LanjV7pXrDW0bC1ZBQmHb0fBNKbmIae4xgj+iPKZWrx3XF0PbG+s50k6s5shAy+UkzNqsXb9iFnXWsd/4VgIh+eP9+uTvqskB2+lgj3ImaBxec12Z+zcTd2pr1B41Hz4yt3SeNggmvGGdyFnGDL4xT5O4ZBkfSzCh4/PDBhW/vj4h9HFWEgG7VthrP1bZTPW1h7ojNrUxMd8w2Wt94wVRj4uK9UvQNVVXO4fddfvaKiMk1Rgzw2QGfgWKSqJjNGs78voZYX90NlvUyjd4eXwpEAgGUu8Mft9MR2tIvecZZxza0TQ2M0tj9HQAynD0ndUYY23fR2eEFv//YrLpUleyIYij9VCQjvzhF7FAGkO1q4u7+niIUKtW7MTB8IuO7OavZlphvOH4Yf5pVu+g9MHIMs29Mj32M545JXtw2EvtvSfrnPx2PRy0lqmc6ZcY554GyDIk51dg2O9W61Wq1N3IMACmUdqRGMkNw86FTMEjbspYN7KmMRFqhZ4nark8jdSxRnvnzGkbuWovJOfP1tqAIBIrq8WBZaeTXjy8n9w0oxyNVqjkkAmkmNU4zNrDh3z0KAH3jPatApqTbKnog7tDdr7kmrqTnPGb52/BrEYsYQPjgQ/MNZ4ZtbrD48OGD3h0Wrkkns655/bghhebPMTG/69FYZoRH9GLITXfnXoKjW2uyl0Xj37MEIGZnpLmdnp5Op9Nf/PUfzI2e1S+ARLGqRTXbNq/1+fQcveHn9UqO2Up3ykYzey7frhm1WWQ2X6jL4nG32lpdbyTXdU1lRnr8cH/fMHfvWZepo1sDfFHNPJRrqYjy60F3fCG5t6AwX98ejw+L/mwuSmthsRFOaZp6K8zLnuLQpRIAMtLvU0Q9IbZMoO6yfDAGXNH6YGNjNdFZZqNCAhEKpEsmfSqZG02LTG/0Cx6ZvwaEogGvja8nueedrymb045inOS9v3Ccq3Fxe5EI9rqTHQFoX880TzjcLLladG1+ZqtjiYhz4Q0EfKuHsmQQQUMRomk+jPBa3cLMasv1ajiR9GhNswxu8oRigsiMgR0JTG89PhlpReM4Ys+GUlMqpaE0mA5/+6Fmf2lk+YYIiYYPs4QshL0qPJYScdNR88nxpdydEPhyt6z3K/70DoYwZr0AZnBkRzBakDibqjNG65ARAQWbWzOG5JsXEVf0jf0xmEf7PN2WeYfomRCZNhFIdjkXUUgEkwQ9Fi0Cnp5PKVCHojnmM29z6huD8oaO9OKydULPBF13owdFIOIZR5cGjIdFwNJ9BWerLc59xv6FqtA2JoIBq3Vz0zi69+YCbD0C3D0r927bNpDfYVF0KmxVAzI8pvkCx1Omn+cjPR/F8cqzdo7JipuZRT43a0HWWkmi9WLsiHG0Pq1egiU7Hb+0xh8bX67MOEKXRV/fb3/7C3tuUL4WOhDt3leK5+0ZI8nQOlDdxygvdbmgw1Qdf7pYSkx+7PGsLn+7zwtI5dMDM7mk3sLgh8cPh/ujCTIKnZlItkdF2Z0AMSnrLy7UpN/PIkhbILhL9u5pqDMBMJAt7JguTGbjnpYHlBn7iXhwH5iU+kYCr89PG/JENeaDrPnYlMYOqo5101LyPiISYSqtZ1ZbfHKu7zBeJ7q6jz2Vj/0aJn7Ti6RVT8j5jwMWXdvJpIbk9MZm1+YFG1yOB1XtZc9+9fhycm8+81dHYyy9+leu1JkcwzO+ItwpmcZzZszRrRyosoWx9Aqzk7C+Pid42WydP78gxFYvnIQLWzZS212SWVIxgLvjUUQMHu7DaJu517V5ik9xdEyUMeSARWQVG3c3D0hW4fA8CS2ZPSKasJxx+vbchJtm0Yc8BiBCD+uhTT4Y4eYe5hn1Fq235vmLJBOCHKqFjJo/nfsM64VT1dLrReC0fXm3kYs8+MWs75VStm2zPrFx/7xzqvi5eCah94fQDLe+Ld4/Pr6E3NMSTEosbx9cWiWgF6/3bCrAPLZDwWWHsTncRikbOu40L2h6dubtuaawmx+O0UFuDTjjzLfyTx4hpFJ/eXqSUrA2+HnkHNxU3y+eeyGRBqx+MYd5WZpGxxSIEU2pzeKNM0Iqs0tyLGDtaezjSpJKeTw9/vLu3U9vXolIRr2kF1o64e4EQo+HQXMB5wr3fs/MCp4x5vDSCl+syYAgLzww49Ez4jnbSCPXCV1uuDtDKnw5LHn3z5nD9fhy7g4ggPX1vZaCDd07fvuyiMhMm0HcPiWqtiUAWuWqfYlkIRs3nqgq/2/mGbOQnZ9ycQDcPVo4Js8KEshMQTZ7/epVZL+D7lQZ/OnmDW+OmaxnhX6332lQRIwwq3GNdO6e75EVW3ElQ6wHsQ1W2g4exd1fvXpFIaP1wbOsSG2WutA8hlOi8WxKpoFIKsnnuNRPyLHxvkNpafrJXtXMnfKe+Z5PjwnmyhcZwiTP//PptIW/Oh4+vfovjy8k9wAF6oHyapXXuv7RK4sBxfrpzwUaoC1ah8dgL4badb62Wx4EvGsY+bUsm2lE9Boo2WaD0cLkB/tBz/Y9q6QdMG7YQ7KQzlhaEuVQkwgESinLIh/+9IsY1sNasQPRsVfDXuL0bX32Yh3YKSHt34z5Z2sIji7fMg25IdwBCDNId0SqDd4ce+/b0EkIr26HpRRwq9WrJTDA8Go7Dw7GE0nNIB/AGSoaYBZ6ktYiLll/DERkiIVxn3lBois/84Oa0c/mpS6iMA9SejQ8JrGQxzIQrULTs+MI3hcDSnC4cX7V+NIggpy8hd4p3y7y8wlOV9DifFEndzSbL5t8IOM/0k45n42htLGV70zO72fYkuwhZi2Tpa/kzDgxeP9ZqnSEJQk0xreAi8B6AkJddIEuWjIpaWznTZV9Bm3mcaFnX3xr/BAAWhImRKTMyhjP5TLZO+RG5xFDYlycpaEbnLZtWdeoLt7KLrFlYuymMe0p06MbWYMkH5hJMKMwAi51xbHgM6FfcIHrX0mGh5sBZNcVOSFg83tFFmUSaEDvFr0vjlZK+wvGb1JmgFgOq94dTTcVNUZob+mWwFZ/Vc/4PjDCVUsvq9b1n33hH0Q0vK21tcnPGiZIIMx3W9ctyJhH2guDkyX2lwoJkpg4RKf0Km0AHh5ePf7yTt2zWeVoiDXN7ix2h2Kg+yo34864OifjJjMdDL0OFxhrT23uLxqyV9MHsjF4vJDufnd39/DwkGkZ1dN1Y1mWEVcu3vzB7ByXe012F68z5jAW//odbw4REah5NTPPhna90fQI12FHRdMDAEAgUaS8faXr2h0N34u7Y5ilBJTLj6/r4XGxQq+iOkgMXQ6QWSJAEVBQSvOIXev6M59um6eSVJwrkvekZBG7bNfZ9mN4YZK4cct89LQNuCP3Eb8xYkq307Y+3A/hdFNpOR+/Kz3npUWLSSmaZzXG+GRcPBCAIUzmy+YvzkclIp6ent68ebNt27Zt5m61tijzF33SLeZlAAnYH2x0ncenmQ9uMs//YsXmg913sPGCQNStdo9tK9ky2HzXfJiJfzge8Pu3FIqFy2cXQd2P38Dd2QqIlbevtrs/xjugWVQcygm6vdXyfxEtbKtH3l3eclKLG64smvpHKQXn4kHtJA0i2/l3oqnlcREf39h/O4Ho23m+A7lt22E9vnr1cNo2OS5WLYVM14bOOsPgtfNbnPUiAHumyP3xG0d9wH9jm2cmOg75BS7EbrinRBiLJqqZgvHDDz/UWk+nUwJ8VuvFK1yMM8/mDgfERK97Fn6boNFBiKFWzRKpn0yyxSME5AzdXJ+ZM9cTRln4w4MDDBr53ckdrYKsPBzlsOgTxFtBt4z9B8AepMncn4wQvoVJzUNEMidAMmkgV6qrPWE3YjZy5Kp5K0qKSa85B4Shx6L1qIGmwwwR5O4i+suf/v6n13+9lKhm6ZLJCOeULeMsXexQO4G85LXjfXNiGMdmgpvyxYdcGtrR9fq0kK9+tiV5QylFlaSZPX549+bt28fHx6zQa+7WASXZ891L0Tf9CVentxErR6BEm/O4YICJg3Yv4HlpYjkPj3mmQEQDYQZnmR1nyfWKqB7X7c1dha/Bz9WcrsaXknuTsgRivVs/HFU/xOrqGrBAjFRMpKnYFHmKTNVyhvIQ+V/PhiilaCnpweaoGRetct6+IdR+UiNsMGfmTiI8tNNZcq9GtVnbURrYAcrmJgufbVtUH169+vDu3evXr+GxhQlZm97fKtCxR2zPROPMQDn2R3RbFOcK9JGHQgXROgr0cIempAF5XrJJbzL19nbIY1nE3UdcFZULVVWFFFXb6rqu4V63bdgzL23joObGeph9rneHLSZlGi3cA6M4Xgfe2k9DTCFDM0bKUm6t5JKHMF3CiCA645ixeSYWlL22VbAKfjwsdwtACLTT368dXx4zg0ZSoUW24tCgWy2xkAkoIsDskW3ONKGSu/ZyUDNXyGqPiKBSikrREFiv/iU9xyXhAyTFdOfL7DTJX0Uk89AyvnIIg4hwlUwDISANkcxj4CJ0c5Bh8fDw8Hd/93crdT2sq6h5UFmzDjFb/xl2Ntz8L8ApRZF7WAiFWTVlKq0qFFERUQuXzv+GZtXlPYEe9A9EeCcOZhx1c1VrsvUiytK79Ty9/5Ba+7t371KLOSOzAwu6GsuyICFR90C0KiF7vHU4HDpxnyuuiIh7S2mcNZmmlBYND7f8cyzLYkbElqlTlNA4S7CxFEldpfF2xp1uP5R7zeRfL4MEf+X4jcgMIkLXhUWDRpUiVDAb6bm5IIu/dzykM/L8acj6oQ+kqtpiVKLhHvkzyAhYnAG4mS0NNjYqw5Cs+6wIACDTwD3LCD2vLxwWNbtu1NP2lz/+9O7dL9vT88PDwyIUb94XB6WQPVNhPN0BBZRSa6WFFNZCkJENaJWgOOmAwtdI2KcWyczPgYs2lT3cJRUnJyPcTclICkleG0KQFlGtgoh4fn5W1devXz89PfkUGDNz99mcQFc8VPX0/Iz0m5prgYicq62jgegNhpocT9O6IsJJneMF8k8iMtLSL+wckTOimFOdY28C4XAVlcOCRdeH+5QEwJfy9t9O7gCgIsfV8P5wOJo/h4PKMI/MsGcCtlmsLt8TQAKDO9sruXLWEExXXJyhjJa9OFZtVspnM2gYfMO2k0zl7EUpxuPYIYLziFYu2BCb1YXy8OrV4/v379+/t1rv7u8tXIpmMI1MIcQDUmDAtloy5/zpdDisngpV43wWkTHcEa0mGQ12Ni3a1HA6bfkWSfcN+JZshu1EiGo9bSRE1N2zpF1ZluPx+Pz8/Pz8PFbpYq8ubMH84bzaIgFkYEJiwclec2uSjm2/cWPNzSzChr4+tPah84xnDRd1RPT6UjHEMkdsWbgUyqFglbrgcLeibdmLutknx28i9zRAg4hVTmb3Ry1eSMKdIi6MzMWHn6vyo6c1+Y7HkMzqgcN1PMh9cHdmQZeRsdyVAeyzBHKhB6RFkaJqVgNkdqgkxEPS2TGETQTNXYXCDD59fHqSog9vXls1q/Xx+elUt61WqFarh3WtZqWUYV15RCG3p+ciCo+ohseTiFhE9PJHiDi562H9ZXsupbiZiFarWU0gox21W5ztzh2BIZl9dcxMS6HAzJdlCY/j/d3dfaHIhw8ftm0bfH2s00c2caxVgO4ePVrB9+Ex7O2TiMuYhSExfI8jD4vTzJSFU3RkjglVaoroYPDtPCi5qt4t9U7kuNZsrwt8afzv1+DuDty9ejjpL45Y1jU2r6fmxo+OrzeO3ugcSM9oBxkGUOU9A3rcvK1F192TEQwTKa+ZoeIcmQU8sB0n1nX1HosHIEsoSWfxzZcEemsehwAhZPjp8b2q3h0PD8f1jnHKQEJrZ2xd10EuyRQPx6NvNe2ThALXw+puZAuXqLUKnUU2NwqrVy16qlVEat1KKZtVUjLDpJTyXLd1PUSEFBEWEopSSkm3axYZdfet1qf378dR/7iROqCSs2D087FHhHnz/zeiD5SlValmiItf71ESv9NF5HA4WG29s9291soe9UQOhaoVIezt1hrF71xgjOW4mMIVPBZHNO/y51PnfvxWcqcQiIcfXy8//KxPeN6qUMtSULPJnSMisqZKl2fsNhMTBsxdYTaZ9ZGENlhIdH1NgCxW5L2oKtBEKTv2l2brw/394e7O0BooeOtsaPAwd7iDmSbTCEI1W+6CreZDE0uiUNHnbau1ihbRrAV2Dl+ZtallWRqqWErWNNYiJZUcMAIeLuRKMPuGm4uIilirOZUqfFg1jxChUFTEs5OrSqqBZK+oDGzbdtq20+nk5iPlcXB3vMzXZ22kK8po/wbo4WGQCNX2B4G4kCzL4uEePofxdUQFzycwfF3Xu7u77bQ9fviwLEsD/mHSupuDmbzV9ZIMt0zhoF10B0CKrlKOh+d6ivtXWFrXo9uo3OeN30zu2STpQd/5+7/iq8pi8FIKYBISUjM4IiLCggYRybiaysaNs/QGe9JRRIysJgyhhpbR0whdGgharWa6jYgsPOszd3f3b37/uxPct4qILftouIf5lr0RWzF1RBZBQGbOtnYW0lq/kIEw7wGJ4dVEJVp/GmASKU3p6p9s7iBlc4JWjSwRAaKGuW+SIZ4BNwvwhFaBEWhdCj3CN1vK0jpNUsNBaNABT+9dtAVzBQWsvVzx0GRmu+hi1wYTHT9EN1wI9DblkX3mKQwHrDpi1VVF6axepfdcycMvKlx7sLQwpSMiBBShCUWkN6eY6Kf/kss3QN5AQIiyhohX89erA0s0Uv+SvD0AX8dU9VgOByvyx3/4+c1f/PQctXchRSjgLkUR7idjZusUnDsF7IGCT46ddCbZQ82WUhSstT4/P2/b5ghDLIc1Sgkzmivp1QwVJZDqR4ZFRbPymwuKyEDLYTANskgxje6RkX0ljxFaM4JY2AJ0JdF0YXa7oEjJ6wslgGrZUD3cMiai668Bd68eqqVB9+gOYQKpAQJRrRWs79UBZr05E0M/sp7s3oMxOqjaZKdbhadsAbqWOL9mKo0AREXQslUzCS9nstl2OBxdIAEVlewBMUEOwzlF0lUx3LEionT3QBwOa4ryz6STl8bXIHcgiLvf/+79v/3f77cNiwYdwkg1LYsSupEsSq9Ny7nQKgcdX5z+izEIbv416dKqnU6nx8fHFIuPT09KV0qhrIsmm19UPVMKukfds5tNBJnh+M0/j73En2Njxg9zds9Amsf+oUltRjTVLVrh0nP+KzPeIeeQ9kAaE+6LKEFt/nYSEEo2xGllTaPpcjHhsGN6Mhe02K/zBdcfidKzfzSGs6JjhXnIE8NJA32Y1GhluyFLQ9y3bcuTt9W6Hg7rum5w8bMHeyZ36ZHxY07ZAFNUpZRT3Qx+WJc04F4mjc8aX4HcCTqwvn31XvXp/Qe5P0qW4InmtmyGpkoWU4gaLujtV9qIHmODK2Y/U9LYS0xEJiLhbmYZIrKUEu716TkIKQskLCJbZyELDWTQ6TCL2by22VKtC8zdTM4mXffdJj3FrUCUgVekYoLsszNFz7e/eaarWjKwxGbZskqoPWgCKXNID+e5XP3ZF5O2Ac4hhG0Cg3NfrOdQukYEIibjtSv9HWZN6Rft8xHCLiJl4vEt1TwiRjg+4OGvXr8+HA7mhvBs+WTblor7vKrbtknHPdOdQDJVdXPT41LK0ibz2yj+q5A7DODd+ly304enAynHA1RreDY1jEyXBENBarIjuZUW1LfwjKCPrZoDVC69zYBHbNvWEmfIEsBmoRUOF8126DxXubqQD8Fo5S2S3M9ZKVdVauepzoQ+hTBfhKaR3f4d3B9osRVZWAeell8Ll0gYK21B4YAt+v9apFKQjAzwRLN4AJRSzCzpuNYqPWj+csvI4Y/LT5ZlyVpr6NlDnIo1pO16tk/CNTSJHgQcDmeXVeMr969fHY/Hum0J0bSW82QrAZV716GCvNtIBgdbwRRHrIdjujv+0Sgz8OXVwVe+/09/Mrc7Dz0sVPHuuEmGgDyyKqiZLnfpsGiMvNcvurlP18+OcN9qlmPPWClEdnSvDqGgMlrj6ul7Y2spSWneKC1LWPfjNDO/8fRbB3U+CUCPKEK6QttfWwWdnHX7K3tOeuK1relHu0vvWeIR2YE9lzNtgw6QR4AgJM/AsiwEqllir6mIRy/9nw8K90z+Gus/O/9rrRn0w1ExuKPADRoXgUSIhGrubL6YsbGkdV1Vi3s8PT3XWiPcqmUv+ZT8eUC7sDwHwMqo8yGAIMIp0Dd3rZ/4PwZlBpTFTn4n5Q/3/I8fTtum22ktKoC3lLuuDXc8GEXoQe9m1y14+FqlGZJ3vp4R2fa2unuPxavZJsz8xK3ZVYh+k/PNpVelRIb5NC2hA6Z9XE8GU9yfu/fNYTd6G16GSF5fwcziAiBkQQBwCCzCENAVJQJh6Xsj6GAWomnBQYlFGL3pMQBSI0jJxtaWATKawrZGtMFeIizlBgPDNjWz5+fnGZJED0d1d4xKEJFdUOBsLX1AWLXEl7vs6i2RGekNPej67pd32f2vpeGlDPIRbNMsJfbGmpIRgaQLKPASGhuV9XfrSiTT+I30/jXIve2Hvvndj0/Hn0E+Pz1DZDmsPcW0ORTDMow2spTE0E8uuOZNChuKL/YeJQmEmXn28GpZj8nO4ipGd9z/2uPI2JWvwIQtjg9nS27cJNXUrqBj5wOJ/a/nT8/nXERaW53zMxnZtXMK6L/Qo27uQ7uMREt4DTTffr8JqF2hHzEwPqpOp6Z1HdV8Mfs+HIhupw4lJ4XAhw8fXr9+vW1bIJayzBMeDoGI6I3Zmp9xTD994RBRIRZd1sNv8Cztxlcg92i9HOLw9vXpuKrJyaqdNlWVAnQR3qvADcx6t6YzPc3kfrG1s/ekc3owa2bkojeVOtlq7FKrbqVUzwQ9bOLz/G6Re/L14aWPiAlQwGeQ++7VSVKy9lqbG1OlEWHP3Ls4rrPf8eZIIgICnRCjm9fZLSlpfTDdFm4+kfKIkLl583EqpJeSzQpC41mn06nWuq7r09PTuqzruraj1Xlct3FJnk/LmfcxXYdCohxXPZx7U/7G8VWUmWZFr6/v47jyl5pxm1HNuvzxCFLoju7+kKluzM0x02j+ehtZA/JuRVpIhrv3bl1N1stEJT4F3M7a0Ut6ywVkgS4cxndFJFWqPuePeRJIRrAlS5/p44xRNeaaa8oWlnihwl1w+vkwmBkiwF45eigk/e1y2lnGaF5eApExORPe2r6LYWrsSoSzK/3M6h779LGnp6f7+/vHx8enp6dlWThVWJmnPRjQNHoDswiAXsSLMl5sVvyrxtdAZpg4nuvDsby603fvui0S6N0JgeYKwZ65jrFTJGL3+Tz2fL0ptQOGyzXNwmvNMvNUanYq0PUZu5AqNwXL9ZTyV28Bi/IFYak3HxENhkEpJfpizDOcv3Vxh8Z3W8NJUII8u8ZqrVl7ZFKmLycwi7iP7NRM9LMMHA3gn5+fj8fj/f39hw8fIrAsDaqfH5o/uvtUEHEnVFseTDOCfjsw89WQGXhAFtH7VUREpUYWe+iBEe7RweCbd5hX+WIH2gIR0utaRW8VP652YJQeYDeeIs4BpuM+Nycg+5TTj2x2It3zxUMop+m135a4epvLVwOCk1O8bXZmwABAR7Mjbh6O68+aNAtUM4Gil+xIJV6ws1tmyXDBFF5agTm8jJMBww6LHY/HlLHbtt3d3T0/PwMZJYbMNOQuID6GUyJnw5FuBnhAjwcIv7Qm5OX4KqYqnGrhpaD8xcH/Ty4hT8I1lFFD0eLUAwyqqkDcHeluvUlScuYfEQEZUEmPUNfRoVMM4bl85szwJjMBW53VVocuKOfeV5gI+uKHMW7xeJISmZ+HmoEt/YJG1gkJkjx/KXZk0VUdQS4Hw90oV2RMgejJIRDA0b3613W89qTThiGQCaHm5yy/7APeda0LzfCasnef8Mbn7OWIx9NLKYfDIcWICAETwbqW0+kkQrOazZpyfcJb/YwWeEAEIVSn1OJKXyAf1nL39i5hSZ6LTX35+DrcnR2dPby6f6dcAhnzeyajBJTP0o8XXO8lsT4v+lmbbDlvZ9dmfpghhVYrRBkyhEXELn8PE9Ff3P+l+QzJ4OHuTVxdVMeZvxV7a2Hcv10wnRBckS8nSDSY7H83w5e0rDHGweYezro+0h+523mJMCzf63mef85ft7qFj2qSzXc7QH2fyj6m4wVk601ciqiSIkolRLjBeDyuD3fWFeaPv/XnjK9D7gIoCPdyf4y7Eo9GOJoN14twTOuSesi8zNdLPy8o9sYTWom8GBYvgAi3sHo6wUN7HG809eK8UzOkMN8ce7MJVwejEWn02uyI6zlfzxMXpwhAW5Ab5D7TzfhCDFMSYR6fs+fRywbaZOHF6AL+GV6zWRI6gsZzW+TpvWbxKL1G++FwiIinp6e7u2MS+uFwSCxoeCqGS4skRaitMWU7UwGQVrD+9MC1+7m+wDa6Gl+H3NFwv9DX935X/HFTKS0DH00dIzma8sXkGZnHS0rzBddsT2w5wg0fyNtWM4lAKYndpkdxx1T63gzO5/t8qPH5RQRBRKsa3Zvd3+aLLxyVYYVHGrV9V2+Ir4R6vIcaNHNgiNBbIy5Cd9oUo9+0nVR2STFBqMD0FkPcDVNqFsXcI7k+lRxryxgAuSzLu3fvBgcRkURm0ngYiNB8sEU125e5kqQSDsSq5Ye74fr7Crz9q5F7QEAH5CjlzTH+4VGFiBhpBx6elXz3X7pkMNf88sxxhWN9+5I1vNbMPAN6A1kuGB2u2T1uAhMGiWc8YHgWx7X54tnh0p0w6BZjY/S44pSX7Hn/3Pz/LP8NdiW+j+m7bHVQ0YtaZlJ2T8PFFVPYMYLpcyLNicE0Ly8eigKnIMqXBFdMP3MCsjJb1yMOhwPJp6fnFozU9Xu2+iY2P1azvZkSKhQJMgTKkKyKcizyqqQz4yswdgBfkbs3pESg92t1O3AZJXab/odLOjh/bY8oX5B7R/rgbjGVQBnE0SNtHAnembu7uQkV03EaKix6YHp2/cz7ZMpwFiHCxH76ZHwQekeP8hye4cuLWY3Rz4N0FJsCJoqTIevzUpzVg4b2IABRwmVEtF+4w3A2ZvocZiqNRAmaLM2svJlXDsDg4obXOzXInZNJMF/p4b0/cM0Y4QxEy6VOr1Py+1JKKQVgrRtFKZLxcdFtulJEH45cxeKLS4bdGF/FzQRgwAaI3y2+yrrphyWoSgcQRSQAA0rTmulxmTGJvuJK9ZEb5gFvjCHRGJNRQTN6HCkkgzHACJpHMEopZVlOVgeJzFIYgFA8IgSqoqq66HKy50DYqZ+vM8Q++VCdMjSHS3t3fqNOfyS1tZ2Gg4GoE9Yk6Fxgf9SdJCXrzCAiPHtpICRa6IthxxTm57peki8QduX/avQ6EoWnd3EY0JLove9xS8pRGXJvPKK/rJt4DYdE9tbLwpRjbnkYpI/kX+wiKAAJN8FdlBM2vNaMPpOvRu1fkbt3VnT36uGk4lsrfJTLy5Fz3i9Xlet7tA2IbCQxKKz9PArjD/Y2GIyW4h61tjYsspTj8bisq9bttG3JUVpN0I6W1FoFuqAgws1UBYso1yg0czfL4Afu6+rvwnWm5JILdjiJHbboMbDz1DNrvGCQMa3QEC+eeYARDifIQHhrX3r9xHkZr7kvJrDoRjjGbiPaB/PX20l4AUMDoEXzBTIpPjsbjxYd0fNCkruraAbVYEgYthKGhnDB+nBUSlzad79pfD1yDwB0hN6tcly3Jw+HaC4SqYJkvO4WUbSQu9IOe92Ow4Zz91q3jMweCdGzWpLaIQKqWuOUdHx3PBwOB5BlWdgJPWPBzwwp3DZ3hKqoFlmXEGHRRUXMvBrNqxn2SOJc2DpnOEI+cKmmYyjryDiGoZfv44rPSzgZgpgO0vg8ou0+W2T+bZq++eH8pyHr5jjT+StDLZ+/236ds7L3t42Aqtro3uGtytUcFZO5fwCq18wiX1cEkJHKZARZGfJw1Pu7SHH6heV+b4yvqLsjzSo9LLw/bH//TkRb4z0RT/DWfQJlb4AtMtosdtUlemZaeqd5tlMb+2z4SabJ9SSd5OWiKsLo9mjt2ZN5BzevXjerkjaT3elhya5/zPxQmE9tai5UW07JHzcJa4aZI4Dhe8W5I9WOuU4hErP5O99cRCLjMq7Xvlvt2J+ia1LGdCAvtKDx3Yui8rPdJXKjkn1MkI7vS/5Kr8MzLshzm8W4RzRyRJCCCFFxkeXhiENBnMvbf5XxlZUZAChaHu5O8m4R2TyWpZD0yI4soxcSBpY3sy7gHCmAqaamqiZXGKRwfmzvcWBWJxUC79+/P97dsaQ5qgOpHBhcIAh6tRCp5ic+L4KiJW+XHI8v2GScxl5F3uHuqtq5e+oAw9JtKN6sdcx3iD3FjEDClJRdqzjX2xlrOJ+QGW28Zv9j5jfnMF4T3dZ9CRmZ7787rpPcHj0xc6QGv3Ul8/LdyRDG3WKE+tdCINv4mtw9tXcC66u7k4qqGjyBKLR0gZB+WjvmuxtNPwlx89oSNjxpPcl93sJeCMA9kIGWbpa1tq1WbrqVLYvDJ3fHflPnJ6Y04IdgWbLGKYixJbjCWwZrH9s8XzaGdV1opN4n1DTeN+927c+PKcK23znLGdCIRLj9FrFyCky6BnDmd8cFqOJ+k7DyFSNexAEvyD2yFhrg5lrOwNcIN2AHwXIHKTvdXEQ2dy6yvH44IfTrwI/n8fXcTCCI4uKB+OlYDuIVoTDxWJWGOGViZVjmLA7oJYM6CDjCsi5SHXwdRFmXZV1TmXFraY75J6EgQA/btqetOmEIC5NyxKKGQG/y5jOsnhWaPGBBwKtFgZPV3bdNUkp0RuV9zHUHBlXlTIqoROu1NpLk3BxmICMqOjgYrZgNIgJuGbqoHpGOlWlz+4EIONAbvW/Y8rDUzs5xRdAXJ3MH1aMxpGQ8bubu9Mi+ETZHK6S6HI1/jZLcQub581ZiYjei2wNtYpMyM1TTXLrT6YRx3gQe5gggDqEo8fjW716rNNfEP1bujjzfiMOb+6dFYvO01CCgJdyUvrcsGdq4QvfJM3sDpXEz+HdZluPdcV1XpJQsmqUE2sPyebXa1vqLm7uWsqzLsq7YV8EdDDWrdoU7PWtfwGpNX2wwHM1Rhe6sHTbxuMMsXhKQbwh/Vy8AtOJZ6FmrSe59oaJjUJ6kTFhz/TcSaUptooPmMEecwcSs43URnIj9zX/dxrXZcXeEAt6qC7bLHOC5SOf5cblllHD3PDxwj16LHJNmNd9/sruAdA2IOE1fHeSwRHxlTQZfndyD4RFl0Xh1sF/ea1kiS4ULkd0KRkZ635GIVvXR++rkLqrq4XBY1kVLmTW8s2+fWQ0f5vH8/JSKx1lu9j5Eg6MMDt1dsBGelWWy4aOj1hChM84JBk3hyXsOs3XcUEXcLACICrPk5VmF7afrRuzh0AHcHZYRjxjlSDE1OYsIepZaa/GdmMzZ88pP5/nC0fvZ46zxX+v6yNBiNtMqpgvIVoNgfEtErLOuy2f0BMtAlFKWpYS0toqiGiq24v6HN0K6v6xCfen42uQOEC5Fyl++ef9//acf5OBT3L6Qdr6sf2Ua6Cwzm9UsyyIqyVsuqARoe2/Vnp6eTqfTYGnZc7g7Ms66/qDdBnmNpwMiHEFL8/X569BeLvD+iDgXuxu5I3uHwFiZm8SXk5Hxx0nvR6uSIHnH+T4XnBIXmGwuwlVZpSRWIlq60CwBRjmD/QpMf2/oeNPi+lSmHclWCP2YEbnX87tgglbzh1IKRVtVdCEFvogfRV/fYxQgeTlH4gvGVyZ3ZEniwPGv3v7prnivh6YUUa3Zv6Nnao+vjI1ZliXB9XQyp6qCPQGNn6vV7bTV03Z6ek7rJylSiw4JcK3XNs6HzDVAVu4S0blp9Xw9p1S9PLX+2bkGM6/9mILx8m7WbRNeehWHhMFnsPCZlYyR7RP42XS04zVouRjoi3NxG15BZ9gvwiVnyTpKKiylEvJwLPeHbJvzj527E63Wbfnx7vi71/XvntPPpkV8M0IyPgpEzeCNydkhKuuy5lokdIXkoHXX/V16jPtW6/PT0/Z88q0OM2hmHuytOgfzy9OCIXqJcCdEi7ad7GMWCDuKGXjrCxjfPGZyx8cp/qX1JIFLHXYQ+oXK/tIcfPQD68+f7/BJkuK1aB146C4Dtc0nEmOVsNF8ZZo5m4reGqiJarqIpWgp5RR2fP0qSA/oy+jnF4+vTe6BADeNhZSf7p/+4f2bWreDvA85BorAgu4hyL4UWcs5m0KTpEKRzT+6V+iCM1mq1yJudnp+3k6n7IAuAQYBllLWw0FVx2ZcRuGdk/PhAkLZ93PmlzOJR08IFEAgWbw0gJEZlD/7uEMAES0O7GyVduC96S0S7kzV69Y5iJ4O52bBDGFBBNhjZjCpLnlLbyHj7QZo3AdIbKQpgEB4etOinaNodBUR+/Lq4+Z5xkPowgiwFczAWC4ZfRE7/zIYU3vJucW5ugZEIKRIBskKe2/0sDgGfzwaoPgNvbFfHl9fmSETQcLxL17/6X/9DwtZPRx5hptyl4LKEaWz4yR3GcWX5+6QCensiT6Ryrpt2ecseXbKhZn1jdX3fYlndnBDS+EU/YJO6NyryO4e7qQAnjVOhzToXH/iYbeWJU3N6N7VcTnnX690/flfj4D7QDLmE3LxKybraOjZrRKgXD1COJTn8+sAGKiAOwKi4lnoO/m6nJe53ypGeQVVddb0t3xcprW1E4jK5qbHVVtTGnyFGnlX42uTOwmwINzj/s3Du7tij6YsdGeEZwF1kc5Q0rXBbDHFHv3pg4KbKbnzoaCbaxkJw7GvImUtuiws5ULKz+rE2B6lOpw9GHi+OK5ateQT8lPkU3Fhq31iazjSWTrmN/+J+xve1FI6JNR07rik8I8+/YKa57OEngK8V5gwTB22eoNdBO6UqOn1WwSGuY2SNa3z4UfmlfUUQRBGlFf3Kdu/AakD34K7AxDSopaHcnh7t71/XrxQPb3ekRBW7pm2ADo2xtA8F716wFmd4ORfzH+Tu1NEWp1h0aWIalkWWQq7DB1fH9vTI3Z2NtZsB2Ni8OOvZMsBTL9BAyMA7Am9f71hc/PoWnI/uuMO0wE2O2e15ZiRpfYi/eucHKg3BznK+J6jFy6uJ5sjZ0AH1/gm0brPisjFKd2/eAg1N3d0y8nXvGDwA04FWoM6Zqb2quvr+0CTTb/a0PmM8Q3IPQM56RDy7fHpbx8LFAynBwUirVyG8yySI3YwQ2NAu40ZJJisN1H5Wmv6XygqRakqRdn10ovvnid4iRnvMOz54vbz+G4CSkxN/tISfWlEB61bN5yhxgglk8CmTgT5pxEuMRsS6HZCo5bPg1Vi2AzAxWyb2q0SAYnmOr2pe2RRM6jEhL3u2DYJULPouwhUvVUc2GUwtQNw4aYiskqgF+VxTaMHcXnVVxnfhLsDIQKHrT8+POmfrO2xgYUSQl65XlrZvcT4GJqC0OOcRh1T10KZMnyzGYEEoWQpUAYR3jCfvP0c6zfCrTAREydWPegsrwTOuCPJVHXT5/+ZMF6bM0nuu5vH4O8RWQFYOKI+uWMA01J1Hv+ZzC/VbOsHZoTcjZsTredRkIPYd9odgMyESocaGsO+MB5GWFhEK3pyYylwLnc/fdh0LT2sPJRohVe+yfhG5E5AAS4/vF4XqtUnZam6pk2EgKLtVzf70iQd3vvwkEIGZ4e1e6svKSKkSAgSIOgLJqK21c6Qd+x81OGfNaL8NcHKvA7ujFYJ3t1hlpQgAW9VJweHpspltZabo5NOK0rdNSQEUbN0h9K9ubrGhMcPF4y/aeEBxE7PaWuwJxRnpA9L2bnqXknL+YGJHruIanZabnliAJBRiQzoqJTWti4XI8/wJKDIXrn+nNg7rtdAJnPli7mACIF4oT8gVsgIcfvkyv768e3IXQjo8bC+OsafKlEIjvJfkHN2PUAH3EXaOiCk033IXGelURvgCAG1p8awXUWYRXr14zYgcK3VzMC8Zjpg9ATsDFvKkP30jCU6lj0T9yfnEzr0fmmGyuZACBGAtjDZC6buV8hGJLi0t+ViuvmL02i1Yq60L2le3UJNDi092iJNIPeIXnKd0QJo2lsH0k2UxnVjHBOUP089oS12pZztplwKNaQKllcrS8N+8P8pcgcSOxThT69O7/50CASyhnrzuslUKkz6GjW2OVml7S8Bz7IyXVwOPaf1Rk1GmGEKgR5LdwPRvkZpZhdsa8bXVamL77LDyOzGn4jcPFefObLrfL6XfMr0bHO4MHF+5Uirffa7Sbfje32vuDgSQ3EiW4/LGFwcTYMXUdFuM/lerQdyMzw77QxkqgfACyVUolCX9RsBMmN8K3If8kh+em3/9y9aw4XDUAnvCbkD+nVPlC72bcrYCjA1fZA9jEl6yWnr7LAx5qYzyA4Un8Y5uKX/ac7Hix6P5VmQiAMbwTD4uE+nGEdl3OFzqLZdjOj0dg3v3Kbm+GyK6GIHaF00z/E8g7LHvzNrmH/t/KYxFQIiGmhFmppa33kFejbTXojmZIbV0ZoGJaWnwWBCX8vhbh2g6Dca35C7Jy/Qt3dxLHhXjb35AuFoQYezkoqJYqa7NFKjABCCU2VGbNs2bNnswNv28xbBjdCXi0nOT4xWEe8FUDvO7vwLGv0t45rWPz6iRUx/6jKPQPQAu3ZQ54cOxWlOVUmRdREXGZMJRTKiO1+jRbPm0ehXdDk53m6CHi9eL29rRFXKUr4tb/+m5A4AZnK3rK/vTn/8T7Vwrf3zj77WgFDQFVywhTBqNnGZEopbRDXpRLjDrhjLp8a4VbottRXd9Zsp9/O4OCpfPIbA4VTzfpgEN1Wyzxo7TknesoPHtcOAkXP+VMN8G+9gxjsge8a0OJyzi2rADCSw1VrNMshvhAl2pu+YU60DAm6I5e4oa7EMVv16rORifGNyDymO5aeHD//hl+NzAo5sQQGYlHUAnW1fmiiZgNH83KjMGJNW9pFkrTWbUOfF2S3oQkNFKseiLeEAAdJxpqoeJpmpUS0cf0ZFhv0UH7VNm2DJa4aaOl0/FCF0+S4D1mcv4H22AoPSzMFhj6Cbzx85bNw50Qak04XrREzs0PiFVjYrNugApUWwFd5o5ZtzE6OpJeFCspUqyYigBBoCCArCw+kA3VHE2bJSPVBLHB9WKFNyfyNax7cm93TElVeHuujyHlaMZPS2XEMgM5glyVvJz5lKAE0EAxGAETqgmmG2wukZxN22eeDKObJHdvbxJbkl3CE31jTJKQlx2GizorV7u0lriinu8tPLMh43ybn8uXUaRlcJai8d1UydyYT45GPm9wIwce5PusYwmfLEeGg7juh0nC7thtUMyo6IwLkWJOiEeA+xQ75khvkHASNO2B4eVhAyHcVvMb41uROBw/3hcCxbfY8ZLekGCzBAm8bYLuT4zMBurkSmKkN29RZzDPdk34WO6+3X1GdP4edpDhOTHiDSb2JLMQ0AqRsMIZY/3yrx8utG3mpOtsD+iM6m/JjMzffK43dpWRJuLbXX3Zd1RdDd0vpi7y/hHtrX2Rl6dygPR+xTor7F+Lbk7gARsvDww8Pzv/3jsumQwuyFZrp4jlEh9CJQBJ27zDTaAlAGvs4z2c1G2DAAmrE0iLKHk8wSnD1Vp7fO5tliTdfJficuFAnpFkWbUbQJX1rDLx+n3Svf0t3jas4fuQOH+jUtI6bs6QsF5iL565OPaDoemNVMsTszLSOeGeHrLkqvFhHmLiV3vW1clVjf3nNlBpb8Rq7x8fEtsPzzSNJxxPIX974C1WKz2CotGAFzZOvJOXd6j+i1nwHsN3LmArMcmGk9v56xu+GYjc+LjWx36ErCZ7LQL2BF1wR0TeLzzx85G7/qKfPIad9k7Z/z9YubtTvw1umKiN7xLxLUmuIU0IFlL1He3IUg+Lna4BePb8vdiwPgE2t5e1ge7vDze6MThCLV6FYsJTMosydC7Haaw/u9D9QmbocQcd+qwLtt2g5DytEuhrHPRA4g3IOfzQJyAjH9jBtn5SM6/UdUhY98aw4BGveZb3WRLtgEY6ZuTdhiL9RzG7Sdn/45sRLzIJlxkWa2LqUsxRyZ52b0Dl/2HPzDcnjzsMHLNwmC3I1vy90BgCwhsmr8/s4Ui4kE67bRAh5hER7wDCRANBcTz/81MSlNVxy2Y0rSKVd95uvYq8JDZzeEEXalnreLOgdyZEhnw6rZ7458Yv8PHvDY/ewfIftPjJd46sd57YVIzHEdejBmLj1qadZJLk7O508yCGcL3gZGLV/kTmXXaEQU0WUtrVMqmxFClxII1Hh9wKIA+O2p8RsDkQIAxUil/OH19m/+4X7jY3jEFpsz8+iSkjoYN746hGNekYEbnZ8GABWhgBDvse/oCAn3rU+zVXcQrb7FbVSmPbRdJk3NbfuDYJYZ31kUBFolFk6ftv8nLo7VsCUu3nGWZjMVtvv8en0m5mYebRmDqbVHD1bpkc+z3XIhJW7eGRPCE+EuIaKtD9z4rwcamVl4qMBJCMMjBI5QCE1gNQ5RfnqNQsFkzH2z8Y3JPQfpEfev7v90X+zJEBQTMyfAIr/BaUyKwLKi1rmB7Qw+RITfcqaOMbu0cjRaueyVHq1+1kSFX6ZY//ZxDSP+2uzv5DIv1Wv4FSO1ylthA8klrFarVZdCFXEJF6hGOCkgNkQclrtXD/wNRPCrxvchdwAhd0v56aH+/DOMNKrQ8DGR39jMC+tAtGU+u/36mOGFm0rnJ42hcQH7v9HFxTy9jzPCl97oMwdfdqbe1LY//fQOHQI4W5a/6g5X85EUhpesoQOoERGR/UJExFUKirXGroGIKigPBz0uicnnxL7p+C7kDiCAIuvvXz3+n3+U0CIFiCkwslt9ewdk+6ghJhf4LgMxAiQv0LqbP/fvfQxMvLws2j9fxv+udZWPXHk9z4+T+8XZ++R30woPISLQWy6PcZMvXGrqF+AYzts0g2Otrkbi69GAN5Qiqh4I1kBm63kl17cPKPQI/baxYW18J3InsMHK7x64LnAshkxrT0riXqrK1FgGEXD4Xt2OCHM/SGGH0s94Tg8NiMnf+RFO9sVyfPCzT9/hlmMrxxyI+2sn8JmKbsuJyZiI/sBhgfcJdiNnT/cXs5J9pfbuYro6VzwXccfwkDArbbioFgYrIuAq8vreBOI9R+cbj+9F7iTd5X7FH+7l336AlEBtYCTAgRB1EHAu/hbSabovf2YvS6/tD2Ak/vUlRpZvGSt+m+FNcVFf9313IGmvJgLsm4TtZ3Lz80Q5gojewygCuxXrLn1gOlGxu0PGJ7Uiw+EIIkSvqi18jjWyWyhiQAznzwIj9TZvalbNTLLGirCsa7jQK6xyWZY3d1mv73sQ+/ch91zTxcQK6z+5X/79e/G7zd67taop05p1oHHEW/fvZ2ofdUaUwxLoaky2FcjOO6iKWU0rahbUF5rABQY3p2vMR+xzTcBAE1lpLu+U+9zSwMBG9vDLTSgms4eCMIQGtJd1z7oN06q1ApB9yHyHYIbEIZksIuSqfny7+FPRl5zceTdfX6OlrOUVEVHN3F09ITYJZB3nMDvhofC+SFRQbkq/rz6+l+4OgHDEDz/8+Hj8Bzxtgl5qEEBP68uRNDpjZG0I2Wsk5WWz+Thr/GyJZIkJRRhmTjb//HFqjkwl+U6wwSdGAM6eJ75nqx+lUEivAnKGmXoU5Lx6n6lQ3Sb0uQsfWm5adLPHzNW9ebWA4l4W+cXs/sdXEMAum5h/u/H9yN1VHL7er/HDcfvje6G4+AgAnqtbOc4F1gbFt09Ehi/Qw3fFSidyz4tFCLRIpIo6s218itB3I75+5eXPHcOAAYDmLBuUNMGkL98gpy7USbsb/46l+7iFs5/R5bpd2pjRA2mqZdBAOkZUNGVLIbao9sN694cfDCjfha/n+H7kHgAdwZA/vN7+9pfjRkE3aPaEmCV8ozmWJm49Kz1ZQn9SE2fDlFPAd9bukpBRdHJIixuT3OuvadPFVSOXC744Xz/z3TH5KcxwRxqcXATz9eNFEs/LEPMYJkFqFIwJboe8YJ+go+xztso48IPiZ+T+ZgLuzHrOa+VIr9Kg+Jk9BbOOFrKDUGTOPUnGtnj5qzfL7x5qVFA//7D9xvH9yJ3AEgShv39V7wv+FOyFGpF+uH2EBnl2PowwI4sWWVprdbMp1xMRu/I9OEMH7bSMujGfL7i/z+D07+WfIguzIC54ag98/7WjxRVzl30ys/wvG1M0aJBs8acT3NJghHACoTit8fo//z0lyjfoWfCR8V3JHWQNL/eH+N29/emdUCXgtASvMLqL8UyRY70aOuOejM7N3C3CSfS0SWACgPORxGB4mWoS/M3FqT6mQfCFz6cL2mx69A+AZn/vv9pIULL7IprdBzQPzm4i528OQOTs/c0LCZUsnHEGB+dovNHs9+ZoT5weSGkow+AbeyuW4zQys0DcK6AOCp9h5c3D/V+8dVThS2DVNxnfldyrhAHHgP3VXf137+WkCi2a2FjZXTp+zEwZAn153TKcF6nAXwvZ6wc3Uy0CV2D8BS6RP7j7GTGK1m7nfFnnh9e9uC5uNYiJM/G1IsLpYbik7/OvGsh8uSHkBAoZ5kpWbBxMIVX5NA0x6TkGUECgweUzRhkcFS/nCVzOBK3QlEoWPzynKbX1naz/RvFpVQvCgoHikKgnOUiVKHhe5c1f/yUXtdiE+r0CCIDviswAJRikE+sPb073/7BVO2Ihi9IJHdk6LeiKHYydFFwRqb3a9ecZmZ3FDH2dn5Da17r7nki+whgvhT65W9c0zOrCJsFkYr54/72Vz8mptDMnSBXBSG9/YTIkSeWF5EwGP9fn6LftHwZBUc1M4qAouJAe5vfL4Q8/OEL41dphf+b4juQeQCaeRuj9Ij89bB9+PjpEenXgLtale6fn1LBcUKvnbtqffuAeZRvkfh1mM4+5yjvO2/9VCX5vO5xpcSfX2mSuofG5zOWLtukLv45veasVfgn23yD3CTcbRu3FAkb3ZrThrSebiqylqGjmM1DCxB7+6V/GvXq4MvMePrleX218V+6OBqKFqZa/fPX4//zsj6EBCFuMwD5SBYSIYPj/ohU0HVDGRR7DjcftVBeSzOr9I9bg4jJMEEREoAFHF3pyE+QjqOf6cfPVctUVbIxZ27lQndkRVUwkOGCTwWjnZw0SvP53jF3sp/fo6ik6EvvQhrPO0lnAjOHE3juW1yc7cjeVbCMsQCusUBXba3nzVz+EROttgu/K4L8jENntdAUtfPndgz6s9r4qxDups3ud0Lm7FA3zsMbUfRK7F+OCZLGvo+RT1V9RGXnybW6/AZS4OZPruOLdaGdo+u2KLj9iOF4H7t7kzR8zPbuG3RWrFxHMTu4fNb/7ao8TmEVVs905Wid0glEV5T/7gfcFnq1ovqfeDnyPbKY+AkikkIBEyF1Zf3zlDHdv3SeDATp5Ziwq8PDe+bqBj3HOmpn/m1ldeqAG38JM2dhxxJts8leNm5OZgiFu7GfsZztUgN01L09p5sfSx5kZf8YdYgRozFz81rvd+gNxRaRNf+mcJau79Q7xEk2Jpz8sx3/yk4VfNnv4XuP7cfdeZAQBZIQE/8mr+Ns/ys/yHFgI8fAwL1KampCwfFiEA9U9IkrL/NqpIkKmwuNs8Vg5Uh4kNeymMi110sTZUzvxYxHJwr9s7swmx0cHZJnAvyY6HBkr4eGzn1hEPGxXg3uimAuCuyBZTGdy/srNZNZrwn1JKScz5ejyrXff9YCmY8O9R3kIskRhv7sHhVk4Zcgcd19KyYLGjrBCLqpWn//6x3K/wjwE2MFd32l8b90dfVEs4u71w+PDwd89K8UQIprgXoPdsnS1e9a5il7pKoDYb8+8W5nF1yHhG3wr4oYXcP4rd/hx//xlaX6bL/6ayz7GX+dp37rhtUf2pfvExCPy34xK/8S0AbSw9Z1xPP49r1UAve5DqjHruorIhm0RXap9eKX3f/WjB/Rcx/97jz8DuQMAaYhSuPzVD6e///fFaRBpbeXayEALq2bNo4Rw87gMCztXpo40DwJ7s+9SMZ2Y8TUNyVR98nwHQOXFjhIv3er2dS/8ZSbT61u9pFjjlrH+0n0uCB3pYY1PzZxAFn7b3yr2AnY81MM9QlXXw0FLiQiKKMjq/MOP+uYQ1ks1fzan+Irjz0TuaOCW/uHV479bys9mHtoLbwzndhK3V0PWygNHHaULjh7ZbVgAEU2D/yMU/ynqvKWvnt2amHQJ6W1z2ItKXz+lGw/Avrr0Baxx8+kzVV1oOx/X7K+Ryhsiy7MaRtw85NMNG7g0Vn74qmdhmBdnCTEREdWmjZIAnmjlD69J6J+Jr+f4s5F7ARjwVwt/uqu//BIi0TNtGilHuFtqgiKS2BbdWknOHiRMstZqtQKMQLh7+LqSPJcw59RoaYwYfXpvRWidwcrmz9qr2rhUpm+OHQOGB3Z9vS/yhi445Udo+nPlycujf/escN+8YCQlJcU3b5Q03nzB4AHUamZVRI7HoxYNRjWLCBPZ3h5e//hQMnA7m439OcafjdzpCEctOPz0pv6799h29ISuBU5eusafMmomLae6VXPLerMAWq3IKEpTquguV2P/+FtEk0EKE/UTrWHLBWVRSP9ccm+T7yIrOnQdewyb3Ys8jED0Q9Zos9/2RXzzs0cXF7t5Xl+QUbsiWbLWz9MeHiXELmMVkV3Lj3d3UFoEuFGkIuQvXy/3haewEgGWr+y3+9zxXcl9FsohcMExgB+Oj3+xrn970gApGygwmlk1unuYuSGiiChQPavyoCs67h4ICgsAZoipEzWorSsOhZhbNUlckXgrV9t24JwVd6mdtFgdEhLpJmGGKSt62/jpXXucVqA5yzBB5piILOYAgfwqQA8BADpcOg6SlnqieANNanNFr6JDoB+eGQufH9ofHaOcb3edNVxl+A2q1SJllkgBt3CHUdDWozeekQouwrVshVSwRoEg5HHF4fevGdgKlMosEc8+7TjDaQwgsg9WnD15X2/82bi7eCDLuJVyfPs6/uM/wB2eNBMxuLu5uTPCAmENDouIWis6q09GPNyNVisAT3C3982agOYbY08Eu7HTqpOX8fynAIRTW8Vbt5hvPv99dPyb87byeeyyZQ8j7fnFTrakgvVpDeclI+Hm6A9yoc6+rXE+2eiWDVQssh4Puq5QhRJWCTzb6fD67as3b+IUUHh4vp2f5R6nfILOYV5Q2H6jdftdY2Z2GluFCAwkcPzhzYe7d16fc3vDo+HoZlldI7IbrQdA6x5W6S3jgLMjs9YayaLMpbTyyhExQLM2l73RNivZF+NCwwbOgeaJ588lW1pY7HjjTs2+T4LOMffXvaZgCjMbBueU9NuQ/Pjtc9SDCwL6OPX0WbWXvZASJClZnAxkCFnu7pa7oywF2goPhkQol9+9ArA9nkIJcUIik1OThYueg4C7mwPYmUs5992H88Q/+wh8X+7e3yocNCQm5W4i1Ld3/nSiOSBm5ls1M7hby/8IesDDvDUgB5AmbLruMJWFAJDHQ3vjT3TOehOfGYrExd5zaqidpHne8oY0X4fT7ICRccOPV/nKtNFmF6LVbPWsPjlSJfaPuPnzxZgl3nj0NXfnlQMrxU4aSiKaLyw8l8OOXtdXNTPyGBEUyt3KtbCoiHgEWCMi7ohX+vj8zDASoUEpWUZJSAgDPmctN5eJgJR9cUOOf85DcOPDl8f3IPehX7IFx4CtjFS4mWzmFvKw1iIhHm6qYqdoykwnd7jDMVgtSWmtSM8xg7kBg9QGNV+T2NjpmSjnP42fx53PH/b/Ll2j7Y+7+1+swzyr/OscvdOe1VWIHip3Se7Xa8vzod7P6tZL4YVTN185NJYGDrgGz8dGRNZ1XZYlFJUNlxQRrguXAjI4CnD4+vre77ht24pgj+AnHCRF4eFZRSH5lDTjlyGtn/HFYl5sFgCgNVu/JQMvxjfu3jFzFGcGzbT4W4+TVVRbT76ZV9p6XOQUcao2BYSl9z4syT0SXkwqL6rnVqATdHOd1n1zYuzG3CDleb0uCOLszelhBYPcSWY36djf/EJfuilY0HnwNfIdXXRcfH5zhdvPSWFs1Ww+EmJZa33pnhcHNXprPfQjKqKJS67rGqtAUskEReSwZgOsXAtzE+H6cHwf1R1Lz8kxIUOA7DGULZoGPtBT/nqHWwCSnUD7Yd7NNoiJ3D8p974tubddd4EDFjQHwCRkM1b3as+1ngxRoxzVHyW2ZXt8b5sleSNAS9pSKopBl6VFpBRFKQqGWWS/iD4YYPaQD4Q5nAxxd0KqeBMvADJTKTIYGxpAhKQjhOLdAevuratrQEgNMiNnNHuItr5l83awA3YArLYycdlMR3Cm4IwcZESYo/UuacpyXpEGHa5QVIztzISY3mckW9dGGujdjwEgTw7JbGqaIJigpT+lYubuIbBerkdKYwdofdsVQLYoD7ixblp1WbQoWuEcLh5Oy6wNfdoeveLtymPxx5OIb6mwGSk1EpURgYgKA7pFBSWb2UNoCAayw1aEOQHswqTz9WsNERFXkr3RekTvUH0tur9bSdQ08Rp+aNXcDOZu5latIqpXWFnE/CTB6uHVAlmPvIW/CKUcVFU9eisIDpi6IWiNktr1vLAdgRaYRKFSEEGVYQuGWXOqD7RvfCsAQEUUhIeZixAqiFYhaVi0Z2t4RCCzEV90eGiQe5Mws9sGYKug6O3JV9x9ZsDnZJSJvV0neuU9hByxEOc5oIORvHwEuvDJIg4ZAxNRsxtimHkVyFKWJQ9Jti0PIszrtm1ej3evQ/L3GmSoCiX3B9JiAvN0BgDx9LWHt65ebbuE3jKS6b5T/NrPjKGyRot4y0KMlwz+25N75IIOfnYO5YVH1OpmbmHVnr2KKpS1bhnom4GtIhRKWQpF5LgSpFuLKKjWPOGT4hTZnzEp/qpMnTCL0CFRdQkO8MuisVrv1eKRanqHBKQrxgJEIEN4pKcvtNdN8k4ua25m/bSfoZMLcof3MJLIf3yEsvhQ1cbBviL0FKF+zcyGLtMhbO7Vy/P5ugZ1+o1E2mE2q7VKKYUsjOpm9lzTgAJclCnuoEJ3r3Y6bVFUjuupbk4XFZJunoXRIl+LsAjQZcCToiScLRG4RvaapacMJlXPWhaG8wHZmCUn/jFY+dvr7hyKXzt6zRedP7u7uVf3sBNtLRLiZVmoouYiQqEWXcqiqlJ0U4a5msA9qlEEntUhd9gCU/XoocKYlPW0+uFOh5Bp/PrUiZutgG1L9kHLR2n97SNcSYo4Gs6d6oEklkIgwm1QXpfDZzy5TWYwbHeXVkpmmIbNAhkBJ0CrrDYztuiOTwDoTbHbSchv1bb/3cwgIrKnwOw5TtQFqfzoWYceh6s/l7XWZVlIjXCahzmrB6oFo6gsCiGFEkxAbXm480WMrkx3nJMclYEtvSKkZFhCAMrk3iCC7S3csxh8i2VIW2toNc3KUjh6xLVcpoDN43uYqiOuGj3nOoEq22r6jVIxqfTnqIciy+v7QxegAHQpRTV3U8I9QpwEt9y2Vtik4fF5lhbRccqjp8YN+FJVOESON3MQWf8nWl5mEsdQhBgRDvPKSB8ggy0Ivi3raALTgzabXmHWvJUX2tEEgISnCt74v9VaVFuh6K6mD+K+2MXu/dmrbGkpjs6meQz6BV3cn23ZjPpCGopyPlFjnmMCZlaWQhZ4pSFO4bW6I1ZHhC+hLOHm2yaicVie4amRhhuaeRrmgaJo1Ymzn7Nm+avcBCqzzkL+m4VYRM5psiOHIVMxm8o7vSD+LOTeFrSL8XQMtS0200zMA6h0NxNU+CqCRZfDYSFJmntICwewaqyAR5ixtiCCtPMGJNxNxaa646pREYnwljaCKcoPvZVNoqUC0M9LZgyrlo2NLGlH2CzhrupEJ94+mZ1ny67IvW2uu/pZs0dvn5Z5LLVLRulWHGaYqI9RYDUnXHqATl6NtE5EIvtf5bqBg6FIilEy2ed5khObzJNWa6UsS1kKgLrFZhlAkWkKkZEP1X2r67qcitawjPogm4Ke3opwC9CSWVA73zGRnHsX0KSKhPYS2jL+1kLm2+Fs5H6Dvi/GdzFVBanomohEiCx+itXVHGQYAlEXkLHQtygmLlgQqgGNMNAjSA+G08LNwqOGhwdbFJmZOzLo15wBQasSE4iQTkzJ4yyxPTfPBKnBExpUnLxRQZqrSH5K1thqa07moUopBSrcNakLM3EjQlJgwxkENRy1RkfryACsbkNn7j3BW9S+h7t5tFjMDjJ0lTC1VbTQtTZ14SJpr4hExKYdkyHpLlLYEcWokZWvzWvJI0tmtCPl7Nfpqpi3wsLdpnDj9vxBcbeUcnILs4JCl7JBhO9XPzpR5RdZ4tVaddMAHE4wvNNmL4qN0CKkWAI0FKG6pHXFfEMTyKI9CfBM68FwcQAJo1E+Teg5voubCQGCBUwb0iFYIjlWEKfWSIzm7r6ZrUapW1kWIxgiETD35y2qxeZezc3D3N3SEsguzYjIhF93J7NRGR1kIH1VObJyvvtmtrmDoWil5FqJoaQwFzqhngFXjsDmUa26h4QvRTUgoZCWqpBAqDnd04auzPrP4UF3WnEqJAOUzS3cRDW/a2zaQmpiQyQM7ntm/F0V4QTJAaGEsHSojsM/lVVkA61CGDM4A0FmOm+roddOLOi9Ti/Mg2zQKYBuArqbVSfovqRdZNWgEDDEeHLI5jWwFC90OB0e7kJVZdbAQsDbeaIHNCBBpaio0BVaSormsi4uBLvwGamfAIhs9/H5hJ7j+7Uz0CGNLethUZYA6VKdHhAzsOj2tFm4ugNupAKs8OfNnzeY11O1rTICFuFhO/4MDKQC8HANoSPcmH7ZiHAPg5ubb+5bOBgOJNjMaLWhIyJCGaoeQcs0Km5b83+JOzW8ZEvBM/ITHs7MU/WoBtCpwXAPCMSaK7HLG69bbSSrjSvPKRSYQsfGIkrzLjeve4osIEYibH7SyhWRQi4L3CtEU6pEhLnl4oVkHTG4eSnttCT+qziHm2V4WLt5gKCbncybvUABwsIEuoKhpxMj7tZgZIu9fKgCFiGdGIoIVKUIRKoyYTeKrGvRogQpkgcg3+qc7MfmQNAvKsn0/doZtJH4riILqy33B5YiAs+E5mqmeMJWsEZqMNnqqlrUGtWzVadXz7zrwQhTziVcXVQtnObCYDirmdUGmVQLCzOP2MxqArSDg4pIbagftbKIwAPmCMDo20Zzc6NZiMRSRIRFm381Mg3FAYeFklarU4OQogFaOEYIZPePZxFjsxjyekS5NHCma0ruiXgGgBDpHjCKNN1mhJ6bO1y70yWsWkYfuyQ/Da/WAjPCqMWsCoWijSW4g1BNJxMgDDNvecLIRDyvnmLNI0I1HVridqisx7C7UtUsvWPRZHvt+TjJuaGii6ZCqGtZSinLQpKLpIuagCOpnF0JQg+pzjf+ElL8vvHuQHNOMjtlQ4uoUsodF/H3rBZxrO+fH7U+HephWQ4BQKQsJUCXGraBMuo2nCG5rtmlSkClqtK9btXqZl4z+qZa3U7mZo7ajABJbZilqPmWsBfJcKDCaoX5tm3oPaDNXAWbEC4QYmM2JVYRkEVJBB1KRjiRToXFAxUuronlSKvrjw53uLkJpUeJtaWKETJJiCoCYa6SEsOECvYs9dbIlARVCXdho7VtswwlSjEoqm62WS3rCsDN6mlb19XNotamGSOquZYSQLiLdqsASJhEJJujeER4eBhqOD3jH42v7o2ZGyDwCAmBVKullCBEhaXgsGApsizlsHIR1ebBg6aU7e7nXIoGpX4hic/ju9Z3z9rN6TbM9rMgqKSWYym6LCeWx+pPW/3j3/3ygEXDjYrqDIswd3OzXp4Abl15d0NARWzbrFYhdVFz2543O9WwerItBbG7C+iBqC0rZCM2q+EeG1BbzabtdHratuq2PT9nUaeWAIsIj+r18fT4XLcPj4/vHt//8vjh6ekJgcPxcFyPx/VwdzgcD4e79XinK6Wsx4dgKYC2si0EUYqu65LBP2spTcIkTtU4WFivGkKHCAiGU5M/LoWtMhcQ4XQnSikk3TyNvWT8xNpIRUhwKct7fx/ur+8fsqzIcT2s6+pZaTYD8kh4RLXNLQs9SnNPM1RFSimLQiiEapDVXYMgTmEBLwpXAzUZkIdXMxbVUkopSyk8HvRu1VJkKVoU0vwVkAyl4SCY30zel+O7VgCWrnUAUCp6SKdrOKOUonrP4tX5p79///fv3v20wYPL3R1dNjdS71dBaWzpYF6tuqV+EwC9rLXUx6fHA9e75eFxe/do79+///D+w+ndh5/fP79/9+GX59O7dx9+eff44en09Mv29Mft8fnxyd2fT6fTdgLobqfTaauVKkJRUVUJgYpudTudTs+2ncJJmPvpdAoYCIsIOCIkQT+KiiylrOtBtWhZ7uMg3suqhxNotL6ux3J/XI+SWHvXz3qxKSzLom0WIiJFixZdSlkPUoqmj/gu5I4taE5Y1vJ6WYqWgogT4rFutm2nbau1uuBf/Ff/wt3/t3/933149+H+eHy4uxOwBN8e7u/v75dlEREW0VLgUFE6SqA5uJUeRuJuPTwc7vTuuKkYw5UoikMcH47BDBLzTB6mNkfhencsd0c5ruVYZFE2J3/M5uZXp+9LItwZQ3+m4YAjSgAe2OzD37//j//Hv//jv/nb39+9uX8f7/793/387pdFy8nqez8152XXbpeyZNRSd737uh6XBX/zN//mf/lf/+f/9Pf/4U/vfvnTh+df3v/8uD2erHo9WTS0MH3rMhrgoLknrRqKmKS+7yAtfPhphCNGIQtlOYUhEuma8pacUnvxswRt6AtcgiGU1CtUtTuYjYHMrE1EPIV4zOW5UzunmFUAqbeju5dcwtgrI4CqK3us1VpDqoMIC3OPEq/uXxP85d0vBBVcRMUDKnWVdV2z39vr4F1ZBbpyiUVPqwibI+9Uq0Je3d3/8Pr1P/vLf/rP/8l/+Z/98//81e9+OD7cH94cl4fjJtiIyuBSlkNZ79a7h7vj/X05rlgWLArxjKT/HKT8645/LOQePSAxAobKU/zp3/3H//tv/q+/+Vf/07/6b//7948fCG51Swf4AOwyxUAaKtd8y//sn/0XUp7/9f/4P7x7/37bnp/teRNHKEQDoq5uoUsJojhW69JGldoSRFQkihqbRwYtdDuyJeLBuQapLZ8tzCAMYZYVTrNVekGONDcteXXChIFg9HLrMDNVE0kDujnLOkwX43tpnuTJSVEmODQHVjWHB8PNut7/7D09V0CMZjsRSnF3UVmWhSDzPFuA8WhbvnCt1aMiAkavPeaZ1NRHlkORcljX42F9OL75qz/80//yv/6X/9V/8y/f/vjj4fUrLOpFZF307vj6x7dvf3yja9FDiaKUnpgpHU78/ye5R1fU0r56kk2BgsItnuoWS0vaEHA99dn26ML2czJ8IECrNWAqcno+PT0/n05Pvj09P9XTo22bhW9hlcmrThsjWohAoxUgMnEusFk1q1at1oTkG1DYmluyFdIIgpClgBA9iBQKVEsansjcWYLuLXNc2LTejpmeYyp7v+nuU5Ls15AB303zQ9RqJAFLqNEjymZSa4og9ipIAXit72mboG5bRiQsUkpR1QKEmyMiHRfYqjyftlrDw91+XuqWzjzDssVdDXO3agDAZw8/Ho/rUnw9xvHh/tX97376izc//LAcHlCERR/evr5/87osCwogCMYzQoECoe86Qn/n8Y+C3NEJtyfGbwDNg8jaPJ7meQCnDraOvUcL9WtBIQ5v2Gy3FvQLNMI0q9OLqgkdOzAqe2QownDAJMidETYdRZscNK0+gQV8AGn7rL+Q8xKcP5zuILc+l1yWbM0Rm4Y0UJU9CQgBaB3rhPPcar9VgiEy1uxq+P5Pgd6HJnvIcjel6JCK7HiYI+p5L7h/z+86/nGRuyEAFK+JvRlI76hjBAh/sQZV+gAHzVTAA4pgCzklJByIGmRzoxBsbv643G4CDccerpycQvSaEdOlPQ0Z0AiZnKCzsI49nU/RuNnmt4kL9Gm0F4l9NyX064FEMTLiNOPVOD0FnROIt0KtGM8nsrNZqlVBevbPobeoye4XgZOQIGqPT4ycEuEBIxRRor9O5DTyRIk6FC1+JHDuKApgf3y/6/h/AWb9tffJI91lAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A2635E550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = [\"input\", \"saks\", \"shein\", \"test\"]\n",
    "sims = [\"\", sim1_img, sim2_img, sim3_img]\n",
    "for idx, i in enumerate([img_test, sim1_img, sim2_img, sim3_img]):\n",
    "    print(labels[idx])\n",
    "    img = Image.open(i)\n",
    "    img = img.resize((250, 250), Image.ANTIALIAS)\n",
    "    display(img)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can directly tell there are certain similarities between these handbags, like texture. However, since the one from saks only has 0.67 similarity, it looks not that similar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Check All 18 Types of Handbags (1 is for other non-identified handbag)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we random sampled five examples for each type of handbags, and calculated both mean and max similarities  between examples and above mentioned dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T20:50:51.392126Z",
     "start_time": "2020-02-05T20:50:46.105839Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sampled index: 12\n",
      "median_sim_saks:0.4746139794588089\n",
      "median_sim_shein:0.48751017451286316\n",
      "median_sim_othersametest:0.8402115702629089\n",
      "sampled index: 36\n",
      "median_sim_saks:0.5464326441287994\n",
      "median_sim_shein:0.5380103290081024\n",
      "median_sim_othersametest:0.8743174076080322\n",
      "sampled index: 48\n",
      "median_sim_saks:0.529459536075592\n",
      "median_sim_shein:0.5198685526847839\n",
      "median_sim_othersametest:0.6985426843166351\n",
      "sampled index: 86\n",
      "median_sim_saks:0.6650592684745789\n",
      "median_sim_shein:0.6638483107089996\n",
      "median_sim_othersametest:0.6919897496700287\n",
      "sampled index: 127\n",
      "median_sim_saks:0.5991353094577789\n",
      "median_sim_shein:0.6063813269138336\n",
      "median_sim_othersametest:0.771167516708374\n",
      "sampled index: 145\n",
      "median_sim_saks:0.5506662130355835\n",
      "median_sim_shein:0.5331104397773743\n",
      "median_sim_othersametest:0.7415697872638702\n",
      "sampled index: 167\n",
      "median_sim_saks:0.5017785727977753\n",
      "median_sim_shein:0.5126263797283173\n",
      "median_sim_othersametest:0.6838025152683258\n",
      "sampled index: 181\n",
      "median_sim_saks:0.5464725196361542\n",
      "median_sim_shein:0.5539481937885284\n",
      "median_sim_othersametest:0.8166403770446777\n",
      "sampled index: 204\n",
      "median_sim_saks:0.5271454751491547\n",
      "median_sim_shein:0.5383694767951965\n",
      "median_sim_othersametest:0.8088690042495728\n",
      "sampled index: 214\n",
      "median_sim_saks:0.622883141040802\n",
      "median_sim_shein:0.6100814044475555\n",
      "median_sim_othersametest:0.7596423625946045\n",
      "sampled index: 237\n",
      "median_sim_saks:0.6565572619438171\n",
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      "median_sim_othersametest:0.801387757062912\n",
      "sampled index: 251\n",
      "median_sim_saks:0.4997769147157669\n",
      "median_sim_shein:0.4969700276851654\n",
      "median_sim_othersametest:0.7860381901264191\n",
      "sampled index: 275\n",
      "median_sim_saks:0.6410585939884186\n",
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      "median_sim_othersametest:0.7006968259811401\n",
      "sampled index: 329\n",
      "median_sim_saks:0.5409296154975891\n",
      "median_sim_shein:0.5290713906288147\n",
      "median_sim_othersametest:0.8053481578826904\n",
      "sampled index: 342\n",
      "median_sim_saks:0.6683485507965088\n",
      "median_sim_shein:0.6581602692604065\n",
      "median_sim_othersametest:0.8405967354774475\n",
      "sampled index: 354\n",
      "median_sim_saks:0.5413049757480621\n",
      "median_sim_shein:0.5376838147640228\n",
      "median_sim_othersametest:0.8288111388683319\n",
      "sampled index: 372\n",
      "median_sim_saks:0.514242559671402\n",
      "median_sim_shein:0.5090647339820862\n",
      "median_sim_othersametest:0.7618906199932098\n",
      "sampled index: 394\n",
      "median_sim_saks:0.5468041300773621\n",
      "median_sim_shein:0.5427929759025574\n",
      "median_sim_othersametest:0.8231303095817566\n",
      "sampled index: 18\n",
      "median_sim_saks:0.49169062077999115\n",
      "median_sim_shein:0.5025316476821899\n",
      "median_sim_othersametest:0.7259672582149506\n",
      "sampled index: 24\n",
      "median_sim_saks:0.6014489531517029\n",
      "median_sim_shein:0.5895209014415741\n",
      "median_sim_othersametest:0.8410730957984924\n",
      "sampled index: 60\n",
      "median_sim_saks:0.6107208430767059\n",
      "median_sim_shein:0.5972708463668823\n",
      "median_sim_othersametest:0.7326414883136749\n",
      "sampled index: 100\n",
      "median_sim_saks:0.8174055814743042\n",
      "median_sim_shein:0.8034862875938416\n",
      "median_sim_othersametest:0.8002829551696777\n",
      "sampled index: 128\n",
      "median_sim_saks:0.5002380311489105\n",
      "median_sim_shein:0.5182603001594543\n",
      "median_sim_othersametest:0.8215425312519073\n",
      "sampled index: 130\n",
      "median_sim_saks:0.6037742495536804\n",
      "median_sim_shein:0.5903692841529846\n",
      "median_sim_othersametest:0.8533107340335846\n",
      "sampled index: 161\n",
      "median_sim_saks:0.5299642384052277\n",
      "median_sim_shein:0.5353711843490601\n",
      "median_sim_othersametest:0.6419219672679901\n",
      "sampled index: 186\n",
      "median_sim_saks:0.6139141321182251\n",
      "median_sim_shein:0.6027849912643433\n",
      "median_sim_othersametest:0.7135982811450958\n",
      "sampled index: 204\n",
      "median_sim_saks:0.5271454751491547\n",
      "median_sim_shein:0.5383694767951965\n",
      "median_sim_othersametest:0.8088690042495728\n",
      "sampled index: 213\n",
      "median_sim_saks:0.6930511593818665\n",
      "median_sim_shein:0.6859380304813385\n",
      "median_sim_othersametest:0.7244611382484436\n",
      "sampled index: 224\n",
      "median_sim_saks:0.6099603474140167\n",
      "median_sim_shein:0.5970481336116791\n",
      "median_sim_othersametest:0.6627520322799683\n",
      "sampled index: 240\n",
      "median_sim_saks:0.5173666477203369\n",
      "median_sim_shein:0.5086182057857513\n",
      "median_sim_othersametest:0.827148824930191\n",
      "sampled index: 275\n",
      "median_sim_saks:0.6410585939884186\n",
      "median_sim_shein:0.6423517763614655\n",
      "median_sim_othersametest:0.7006968259811401\n",
      "sampled index: 331\n",
      "median_sim_saks:0.5424429178237915\n",
      "median_sim_shein:0.5431628525257111\n",
      "median_sim_othersametest:0.7602189779281616\n",
      "sampled index: 343\n",
      "median_sim_saks:0.7074861526489258\n",
      "median_sim_shein:0.7016523480415344\n",
      "median_sim_othersametest:0.7470130920410156\n",
      "sampled index: 352\n",
      "median_sim_saks:0.592609316110611\n",
      "median_sim_shein:0.5842948257923126\n",
      "median_sim_othersametest:0.8356997966766357\n",
      "sampled index: 376\n",
      "median_sim_saks:0.49384649097919464\n",
      "median_sim_shein:0.4911554902791977\n",
      "median_sim_othersametest:0.785065084695816\n",
      "sampled index: 395\n",
      "median_sim_saks:0.5411096215248108\n",
      "median_sim_shein:0.5420195162296295\n",
      "median_sim_othersametest:0.7851354479789734\n",
      "sampled index: 21\n",
      "median_sim_saks:0.507757306098938\n",
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      "median_sim_othersametest:0.8347150981426239\n",
      "sampled index: 27\n",
      "median_sim_saks:0.5709315538406372\n",
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      "median_sim_othersametest:0.848429262638092\n",
      "sampled index: 55\n",
      "median_sim_saks:0.48542942106723785\n",
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      "median_sim_saks:0.816605418920517\n",
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      "median_sim_shein:0.6029335856437683\n",
      "median_sim_othersametest:0.7128833532333374\n",
      "sampled index: 133\n",
      "median_sim_saks:0.5908549129962921\n",
      "median_sim_shein:0.5860001146793365\n",
      "median_sim_othersametest:0.7728935778141022\n",
      "sampled index: 165\n",
      "median_sim_saks:0.5450194776058197\n",
      "median_sim_shein:0.5580725073814392\n",
      "median_sim_othersametest:0.6403224766254425\n",
      "sampled index: 177\n",
      "median_sim_saks:0.5228641331195831\n",
      "median_sim_shein:0.5260079205036163\n",
      "median_sim_othersametest:0.8073148131370544\n",
      "sampled index: 189\n",
      "median_sim_saks:0.4714561253786087\n",
      "median_sim_shein:0.4836130738258362\n",
      "median_sim_othersametest:0.8446280360221863\n",
      "sampled index: 215\n",
      "median_sim_saks:0.609959214925766\n",
      "median_sim_shein:0.6092993319034576\n",
      "median_sim_othersametest:0.7421965599060059\n",
      "sampled index: 232\n",
      "median_sim_saks:0.524971067905426\n",
      "median_sim_shein:0.5333705842494965\n",
      "median_sim_othersametest:0.5515506267547607\n",
      "sampled index: 242\n",
      "median_sim_saks:0.5382546186447144\n",
      "median_sim_shein:0.5317188203334808\n",
      "median_sim_othersametest:0.8541927337646484\n",
      "sampled index: 271\n",
      "median_sim_saks:0.5392138361930847\n",
      "median_sim_shein:0.5441348552703857\n",
      "median_sim_othersametest:0.7530076205730438\n",
      "sampled index: 329\n",
      "median_sim_saks:0.5409296154975891\n",
      "median_sim_shein:0.5290713906288147\n",
      "median_sim_othersametest:0.8053481578826904\n",
      "sampled index: 343\n",
      "median_sim_saks:0.7074861526489258\n",
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      "median_sim_othersametest:0.7470130920410156\n",
      "sampled index: 365\n",
      "median_sim_saks:0.5346360504627228\n",
      "median_sim_shein:0.5295943915843964\n",
      "median_sim_othersametest:0.8246609270572662\n",
      "sampled index: 387\n",
      "median_sim_saks:0.47552141547203064\n",
      "median_sim_shein:0.47447387874126434\n",
      "median_sim_othersametest:0.7227101624011993\n",
      "sampled index: 397\n",
      "median_sim_saks:0.4993412047624588\n",
      "median_sim_shein:0.49433647096157074\n",
      "median_sim_othersametest:0.6566674709320068\n",
      "sampled index: 17\n",
      "median_sim_saks:0.49834756553173065\n",
      "median_sim_shein:0.5117425322532654\n",
      "median_sim_othersametest:0.8535023331642151\n",
      "sampled index: 32\n",
      "median_sim_saks:0.49783843755722046\n",
      "median_sim_shein:0.49126115441322327\n",
      "median_sim_othersametest:0.8669041395187378\n",
      "sampled index: 66\n",
      "median_sim_saks:0.48788072168827057\n",
      "median_sim_shein:0.4809981435537338\n",
      "median_sim_othersametest:0.7323781549930573\n",
      "sampled index: 71\n",
      "median_sim_saks:0.7766814231872559\n",
      "median_sim_shein:0.7637785375118256\n",
      "median_sim_othersametest:0.7727522552013397\n",
      "sampled index: 128\n",
      "median_sim_saks:0.5002380311489105\n",
      "median_sim_shein:0.5182603001594543\n",
      "median_sim_othersametest:0.8215425312519073\n",
      "sampled index: 150\n",
      "median_sim_saks:0.6396394073963165\n",
      "median_sim_shein:0.63064044713974\n",
      "median_sim_othersametest:0.7929705679416656\n",
      "sampled index: 161\n",
      "median_sim_saks:0.5299642384052277\n",
      "median_sim_shein:0.5353711843490601\n",
      "median_sim_othersametest:0.6419219672679901\n",
      "sampled index: 180\n",
      "median_sim_saks:0.5099830031394958\n",
      "median_sim_shein:0.5122740566730499\n",
      "median_sim_othersametest:0.8343095481395721\n",
      "sampled index: 190\n",
      "median_sim_saks:0.4906780421733856\n",
      "median_sim_shein:0.49959710240364075\n",
      "median_sim_othersametest:0.823777973651886\n",
      "sampled index: 215\n",
      "median_sim_saks:0.609959214925766\n",
      "median_sim_shein:0.6092993319034576\n",
      "median_sim_othersametest:0.7421965599060059\n",
      "sampled index: 231\n",
      "median_sim_saks:0.5531952977180481\n",
      "median_sim_shein:0.538715124130249\n",
      "median_sim_othersametest:0.7687168419361115\n",
      "sampled index: 246\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "median_sim_saks:0.5031527578830719\n",
      "median_sim_shein:0.4973454028367996\n",
      "median_sim_othersametest:0.7976518273353577\n",
      "sampled index: 271\n",
      "median_sim_saks:0.5392138361930847\n",
      "median_sim_shein:0.5441348552703857\n",
      "median_sim_othersametest:0.7530076205730438\n",
      "sampled index: 331\n",
      "median_sim_saks:0.5424429178237915\n",
      "median_sim_shein:0.5431628525257111\n",
      "median_sim_othersametest:0.7602189779281616\n",
      "sampled index: 333\n",
      "median_sim_saks:0.528546929359436\n",
      "median_sim_shein:0.5244258642196655\n",
      "median_sim_othersametest:0.8569890260696411\n",
      "sampled index: 366\n",
      "median_sim_saks:0.5083675980567932\n",
      "median_sim_shein:0.5042840242385864\n",
      "median_sim_othersametest:0.838922381401062\n",
      "sampled index: 376\n",
      "median_sim_saks:0.49384649097919464\n",
      "median_sim_shein:0.4911554902791977\n",
      "median_sim_othersametest:0.785065084695816\n",
      "sampled index: 390\n",
      "median_sim_saks:0.4704698920249939\n",
      "median_sim_shein:0.47429268062114716\n",
      "median_sim_othersametest:0.6578766107559204\n",
      "sampled index: 14\n",
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      "median_sim_shein:0.5040145218372345\n",
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      "median_sim_othersametest:0.8278291821479797\n",
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      "median_sim_saks:0.5215491652488708\n",
      "median_sim_shein:0.5298123359680176\n",
      "median_sim_othersametest:0.8505566120147705\n",
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      "median_sim_saks:0.6930511593818665\n",
      "median_sim_shein:0.6859380304813385\n",
      "median_sim_othersametest:0.7244611382484436\n",
      "sampled index: 233\n",
      "median_sim_saks:0.52789106965065\n",
      "median_sim_shein:0.5267694294452667\n",
      "median_sim_othersametest:0.7234448790550232\n",
      "sampled index: 239\n",
      "median_sim_saks:0.5762802064418793\n",
      "median_sim_shein:0.5673208832740784\n",
      "median_sim_othersametest:0.7735536098480225\n",
      "sampled index: 275\n",
      "median_sim_saks:0.6410585939884186\n",
      "median_sim_shein:0.6423517763614655\n",
      "median_sim_othersametest:0.7006968259811401\n",
      "sampled index: 329\n",
      "median_sim_saks:0.5409296154975891\n",
      "median_sim_shein:0.5290713906288147\n",
      "median_sim_othersametest:0.8053481578826904\n",
      "sampled index: 334\n",
      "median_sim_saks:0.5752797424793243\n",
      "median_sim_shein:0.5648869574069977\n",
      "median_sim_othersametest:0.8275851309299469\n",
      "sampled index: 356\n",
      "median_sim_saks:0.623359352350235\n",
      "median_sim_shein:0.6192901134490967\n",
      "median_sim_othersametest:0.800643265247345\n",
      "sampled index: 388\n",
      "median_sim_saks:0.48288457095623016\n",
      "median_sim_shein:0.4759424328804016\n",
      "median_sim_othersametest:0.7773204147815704\n",
      "sampled index: 397\n",
      "median_sim_saks:0.4993412047624588\n",
      "median_sim_shein:0.49433647096157074\n",
      "median_sim_othersametest:0.6566674709320068\n"
     ]
    }
   ],
   "source": [
    "sim1_dict = {}\n",
    "sim2_dict = {}\n",
    "sim3_dict = {}\n",
    "index_dict = {}\n",
    "for i in range(5):\n",
    "    random.seed(i*10)\n",
    "    sim1_list = []\n",
    "    sim2_list = []\n",
    "    sim3_list = []\n",
    "    index_list = []\n",
    "    for c in class_names:\n",
    "        if c != \"other\":\n",
    "            test_index, bag_index, test_vector, other_vectors = get_test_vectors(vectors_test, bag_type=c, total_imgs=inputs_test)\n",
    "            sim_data, sim1, sim2, sim3 = validate_sim(test_vector, vectors_shein, vectors_saks, other_vectors)\n",
    "            sim1_list.append(sim1)\n",
    "            sim2_list.append(sim2)\n",
    "            sim3_list.append(sim3)\n",
    "            index_list.append(test_index)\n",
    "    sim1_dict[i] = sim1_list\n",
    "    sim2_dict[i] = sim2_list\n",
    "    sim3_dict[i] = sim3_list\n",
    "    index_dict[i] = index_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T20:50:57.470486Z",
     "start_time": "2020-02-05T20:50:51.479354Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sampled index: 12\n",
      "max_sim_saks:0.6938008666038513\n",
      "max_sim_shein:0.7770954966545105\n",
      "max_sim_othersametest:0.9264737367630005\n",
      "sampled index: 36\n",
      "max_sim_saks:0.7533590793609619\n",
      "max_sim_shein:0.6813477277755737\n",
      "max_sim_othersametest:0.9204344153404236\n",
      "sampled index: 48\n",
      "max_sim_saks:0.6744751930236816\n",
      "max_sim_shein:0.715469241142273\n",
      "max_sim_othersametest:0.8033868074417114\n",
      "sampled index: 86\n",
      "max_sim_saks:0.7688227891921997\n",
      "max_sim_shein:0.7949159741401672\n",
      "max_sim_othersametest:0.7475295662879944\n",
      "sampled index: 127\n",
      "max_sim_saks:0.7303481698036194\n",
      "max_sim_shein:0.7813857793807983\n",
      "max_sim_othersametest:0.819196879863739\n",
      "sampled index: 145\n",
      "max_sim_saks:0.7468958497047424\n",
      "max_sim_shein:0.7183643579483032\n",
      "max_sim_othersametest:0.7894706726074219\n",
      "sampled index: 167\n",
      "max_sim_saks:0.7592759132385254\n",
      "max_sim_shein:0.6641992330551147\n",
      "max_sim_othersametest:0.870710015296936\n",
      "sampled index: 181\n",
      "max_sim_saks:0.7324498891830444\n",
      "max_sim_shein:0.7154532670974731\n",
      "max_sim_othersametest:0.8658910393714905\n",
      "sampled index: 204\n",
      "max_sim_saks:0.7595293521881104\n",
      "max_sim_shein:0.7644974589347839\n",
      "max_sim_othersametest:0.8764281272888184\n",
      "sampled index: 214\n",
      "max_sim_saks:0.7943986058235168\n",
      "max_sim_shein:0.7696239948272705\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max_sim_saks:0.7037602066993713\n",
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      "max_sim_shein:0.5931019186973572\n",
      "max_sim_othersametest:0.769294798374176\n"
     ]
    }
   ],
   "source": [
    "sim1_dict_max = {}\n",
    "sim2_dict_max = {}\n",
    "sim3_dict_max = {}\n",
    "index_dict_max = {}\n",
    "bag_dict_max = {}\n",
    "for i in range(5):\n",
    "    random.seed(i*10)\n",
    "    sim1_list = []\n",
    "    sim2_list = []\n",
    "    sim3_list = []\n",
    "    index_list = []\n",
    "    bag_list = []\n",
    "    for c in class_names:\n",
    "        if c != \"other\":\n",
    "            test_index, bag_index, test_vector, other_vectors = get_test_vectors(vectors_test, bag_type=c, total_imgs=inputs_test)\n",
    "            sim_data, sim1, sim2, sim3 = validate_sim(test_vector, vectors_shein, vectors_saks, other_vectors, sim_type=\"max\")\n",
    "            sim1_list.append(sim1)\n",
    "            sim2_list.append(sim2)\n",
    "            sim3_list.append(sim3)\n",
    "            index_list.append(test_index)\n",
    "            bag_list.append(bag_index)\n",
    "    sim1_dict_max[i] = sim1_list\n",
    "    sim2_dict_max[i] = sim2_list\n",
    "    sim3_dict_max[i] = sim3_list\n",
    "    index_dict_max[i] = index_list\n",
    "    bag_dict_max[i] = bag_list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need to calculate the mean and std of five examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T20:51:35.556120Z",
     "start_time": "2020-02-05T20:51:35.550299Z"
    }
   },
   "outputs": [],
   "source": [
    "sim1_mean = np.mean([sim1_dict[i] for i in range(5)], axis=0)\n",
    "sim1_std = np.std([sim1_dict[i] for i in range(5)], axis=0)\n",
    "sim2_mean = np.mean([sim2_dict[i] for i in range(5)], axis=0)\n",
    "sim2_std = np.std([sim2_dict[i] for i in range(5)], axis=0)\n",
    "sim3_mean = np.mean([sim3_dict[i] for i in range(5)], axis=0)\n",
    "sim3_std = np.std([sim3_dict[i] for i in range(5)], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-05T20:51:36.167493Z",
     "start_time": "2020-02-05T20:51:36.161138Z"
    }
   },
   "outputs": [],
   "source": [
    "sim1_mean_max = np.mean([sim1_dict_max[i] for i in range(5)], axis=0)\n",
    "sim1_std_max = np.std([sim1_dict_max[i] for i in range(5)], axis=0)\n",
    "sim2_mean_max = np.mean([sim2_dict_max[i] for i in range(5)], axis=0)\n",
    "sim2_std_max = np.std([sim2_dict_max[i] for i in range(5)], axis=0)\n",
    "sim3_mean_max = np.mean([sim3_dict_max[i] for i in range(5)], axis=0)\n",
    "sim3_std_max = np.std([sim3_dict_max[i] for i in range(5)], axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a look!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we also reorder the classes based on different brands. To validate our model, I only used handbag brands that are not in our recommendatation dataset (LV and Chanel), since other types of handbag might also in the retailer dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-06T15:40:23.501220Z",
     "start_time": "2020-02-06T15:40:23.492469Z"
    }
   },
   "outputs": [],
   "source": [
    "new_class_names = [\"2.55\", \"boy\", \"grandshoppingtote\",\n",
    "                  \"alma\", \"neverfull\", \"speedy\", \"petiteboitechapeau\", \"newwavechaintote\",\n",
    "                   \"dionysus\", \"sohodisco\", \"ggmarmont\",\"sylvie\",\n",
    "                  \"jetsettote\", \"selmasatchel\", \"mercertotebag\",\n",
    "                  \"F57842\",\n",
    "                  \"classic\",\n",
    "                  \"bag\"]\n",
    "old_class = [ i.split(\"_\")[0] if i == \"2.55_classicdoubleflapbag\" else i for i in class_names if i != \"other\"]\n",
    "map_index = [old_class.index(i) for i in new_class_names]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-07T04:17:59.609365Z",
     "start_time": "2020-02-07T04:17:58.568911Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=[8,6])\n",
    "# the x locations for the groups\n",
    "width = 0.5   # the width of the bars\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "rects1 = ax.bar([ i-width for i in range(0,16,2)],[sim3_mean_max[map_index[i]] for i in range(8)] , width, color='coral', yerr=[sim3_std_max[map_index[i]] for i in range(8)], label=\"same\")\n",
    "rects2 = ax.bar([ i for i in range(0,16,2)], [sim2_mean_max[map_index[i]] for i in range(8)], width, color='green', yerr=[sim2_std_max[map_index[i]] for i in range(8)], label=\"Shein\")\n",
    "rects3 = ax.bar([ i+width for i in range(0,16,2)], [sim1_mean_max[map_index[i]] for i in range(8)], width, color='cornflowerblue', yerr=[sim1_std_max[map_index[i]] for i in range(8)], label=\"Saks\")\n",
    "plt.xticks([ i for i in range(0,16,2)], [\"2.55\", \"boy\", \"grand\\nshopping\\ntote\",\n",
    "                                        \"alma\",\"neverfull\", \"speedy\", \"petite\\nboite\\nchapeau\",\n",
    "                                        \"new\\nwavechaine\\ntote\"], rotation=0, size=12);\n",
    "plt.yticks(size=12)\n",
    "plt.ylabel(\"Cosine Similarity\", size=14)\n",
    "plt.ylim([0.5,1])\n",
    "plt.xlim([-1,15])\n",
    "plt.legend(fontsize=12, loc=\"upper right\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"graphs/max_sim_rmoverlapbrand.png\", dpi=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-07T04:17:50.266161Z",
     "start_time": "2020-02-07T04:17:49.451581Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=[4,6])\n",
    "# the x locations for the groups\n",
    "width = 0.5   # the width of the bars\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "rects1 = ax.bar([ i-width for i in range(0,2,2)],[sim3_mean_max[map_index[i]] for i in range(1)] , width, color='coral', yerr=[sim3_std_max[map_index[i]] for i in range(1)], label=\"same\")\n",
    "rects2 = ax.bar([ i for i in range(0,2,2)], [sim2_mean_max[map_index[i]] for i in range(1)], width, color='green', yerr=[sim2_std_max[map_index[i]] for i in range(1)], label=\"Shein\")\n",
    "rects3 = ax.bar([ i+width for i in range(0,2,2)], [sim1_mean_max[map_index[i]] for i in range(1)], width, color='cornflowerblue', yerr=[sim1_std_max[map_index[i]] for i in range(1)], label=\"Saks\")\n",
    "plt.xticks([ i for i in range(0,2,2)], [\"Chanel: 2.55\"], rotation=0, size=14);\n",
    "plt.yticks(size=14)\n",
    "plt.ylabel(\"Cosine Similarity\", size=16)\n",
    "plt.ylim([0.5,1])\n",
    "#plt.xlim([-1,15])\n",
    "plt.legend(fontsize=14, loc=\"upper right\")\n",
    "plt.tight_layout()\n",
    "plt.savefig(\"graphs/max_sim_rmoverlapbrand_firstone.png\", dpi=100);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-27T20:20:48.572440Z",
     "start_time": "2020-01-27T20:20:48.564318Z"
    }
   },
   "source": [
    "It is clearly that our similarity measurement is meaningful! "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Handbag Recommendation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's try to do some recommendation!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 376,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T23:17:56.026361Z",
     "start_time": "2020-01-30T23:17:56.019486Z"
    }
   },
   "outputs": [],
   "source": [
    "def recommend_bag_sim(input_vectors, vectors_bags):\n",
    "    sim = cosine_similarity(input_vectors, vectors_bags)\n",
    "    sim = np.reshape(sim, np.shape(sim)[1])\n",
    "    sim_dict = [[\"sim_\" + str(i),j] for (i,j) in zip(range(len(sim)), sim)]\n",
    "    \n",
    "    sim_data = pd.DataFrame(sim_dict)\n",
    "    sim_data[2] = [ i.split(\"_\")[0] for i in list(sim_data[0])]\n",
    "    sim_data[\"order\"] = sim_data[1].rank(ascending=False)\n",
    "    sim_data.columns = [\"initial_index\", \"sim\", \"index\", \"order\"]\n",
    "    return sim_data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 377,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T23:17:56.764536Z",
     "start_time": "2020-01-30T23:17:56.753938Z"
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "def recommend_bag(input_vector, shop_data_saks, shop_data_shein, price_range, vetors_shein, vectors_shop):\n",
    "    price_dict = {\"less 50\": [\"less 50\"],\n",
    "                 \"less 250\" : [\"less 50\", \"less 250\"],\n",
    "                 \"less 500\" : [\"less 50\", \"less 250\", \"less 500\"],\n",
    "                 \"less 750\" : [\"less 50\", \"less 250\", \"less 500\", \"less 750\"],\n",
    "                 \"less 1000\" : [\"less 50\", \"less 250\", \"less 500\", \"less 750\", \"less 1000\"],\n",
    "                 \"higher 1000\" : [\"higher 1000\"]}\n",
    "    if price_range == \"less 50\":\n",
    "        sim_data = recommend_bag_sim(input_vector, vectors_shein)\n",
    "        shop_data = pd.merge(shop_data_shein, sim_data, on = shop_data_shein.index)\n",
    "        shop_data.drop(\"key_0\", axis=1, inplace=True)\n",
    "        shop_data = shop_data[shop_data[\"price_level\"].isin(price_dict[price_range])].sort_values(\"sim\", ascending=False)\n",
    "        Top5 = shop_data[0:5][\"image\"].values\n",
    "    \n",
    "    elif price_range == \"higher 1000\":\n",
    "        sim_data = recommend_bag_sim(input_vector, vectors_shop)\n",
    "        shop_data = pd.merge(shop_data_saks, sim_data, on = shop_data_saks.index)\n",
    "        shop_data.drop(\"key_0\", axis=1, inplace=True)\n",
    "        shop_data = shop_data[shop_data[\"price_level\"].isin(price_dict[price_range])].sort_values(\"sim\", ascending=False)\n",
    "        Top5 = shop_data[0:5][\"image\"].values\n",
    "    \n",
    "    else:\n",
    "        sim_data_saks = recommend_bag_sim(input_vector, vectors_shop)\n",
    "        shop_data_saks = pd.merge(shop_data_saks, sim_data_saks, on = shop_data_saks.index)\n",
    "        shop_data_saks.drop(\"key_0\", axis=1, inplace=True)\n",
    "        \n",
    "        sim_data_shein = recommend_bag_sim(input_vector, vectors_shein)\n",
    "        shop_data_shein = pd.merge(shop_data_shein, sim_data_shein, on = shop_data_shein.index)\n",
    "        shop_data_shein.drop(\"key_0\", axis=1, inplace=True)\n",
    "        \n",
    "        shop_data = pd.concat([shop_data_saks, shop_data_shein], axis=0)\n",
    "        shop_data = shop_data[shop_data[\"price_level\"].isin(price_dict[price_range])].sort_values(\"sim\", ascending=False)\n",
    "        Top5 = shop_data[0:5][\"image\"].values\n",
    "    \n",
    "    return shop_data, Top5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we use index handbag with index 113 in my test dataset as an example. Try price with higher than $1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 391,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T23:23:38.027805Z",
     "start_time": "2020-01-30T23:23:37.904959Z"
    }
   },
   "outputs": [],
   "source": [
    "index = 113\n",
    "bag_index = bag_dict_max[2][3]\n",
    "input_vector = test_vectors[index:index+1]\n",
    "price_range = \"higher 1000\"\n",
    "Top5_data, Top5_imgs = recommend_bag(input_vector, saks_data, shein_data, price_range, vectors_shein, vectors_saks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T23:24:23.312985Z",
     "start_time": "2020-01-30T23:24:22.891036Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A23287668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A23287668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "brand Balenciaga\n",
      "name Mini City Snakeskin-Embossed Leather Satchel\n",
      "price $2290.00\n",
      "web https://www.saksfifthavenue.com/balenciaga-mini-city-snakeskin-embossed-leather-satchel/product/0400011370494?FOLDER%3C%3Efolder_id=2534374306623861&R=889300497389&P_name=Balenciaga&N=306623861&bmUID=m.jaXQv\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A23287668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "brand Balenciaga\n",
      "name Medium Classic City Leather Satchel\n",
      "price $2190.00\n",
      "web https://www.saksfifthavenue.com/balenciaga-medium-classic-city-leather-satchel/product/0400096156769?FOLDER%3C%3Efolder_id=2534374306623862&R=889300508702&P_name=Balenciaga&N=306623862&bmUID=m.jdbSN\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A23287668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "brand Balenciaga\n",
      "name Mini Classic City Leather Satchel\n",
      "price $1880.00\n",
      "web https://www.saksfifthavenue.com/balenciaga-mini-classic-city-leather-satchel/product/0400098483840?FOLDER%3C%3Efolder_id=2534374306624224&R=889300332635&P_name=Balenciaga&N=306624224&bmUID=m.jb.4w\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A23287668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "brand Balenciaga\n",
      "name Small Classic City Leather Satchel\n",
      "price $2160.00\n",
      "web https://www.saksfifthavenue.com/balenciaga-small-classic-city-leather-satchel/product/0400099859623?FOLDER%3C%3Efolder_id=2534374306623861&R=889300389394&P_name=Balenciaga&N=306623861&bmUID=m.jamXh\n"
     ]
    },
    {
     "data": {
      "image/png": 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OTJzzdrtdq9VItt1yyy1f+9rXXvSiF915553j4+NDQ0PtdrvdbiPie9/73lWrVpcRL0mSPOb46H8DuTguAAgh1q5d+9znPnd0dPTss88eHR0VQlBm4I033njVVVeRdUu2R1kR+i2/w38Z/Q+ds/9SoukMw5DSlJrN5mWXXXbeeedNTU3u378fAEhjmZmZedvb3vakJz0ZADjnSilSY6Io+i16G49MxOtxHJfL8V1wwQVKqcHBwXq9rpSiUJpS6vOf//zk5KSU0r0difksy/5nvt1vTkcju6dpCgDGGGL3z3zmM61Wa/369TfddEsYhvV6PUmSqampF77wha985Su11lmWAYAQIkkSguBCgc79Lb/JIiLXO9WrId6lSh5vectbtm/ffs455zSbzSRJCCC5d+/eK6+8MkkSMr4pEQR/pysaHI3sTtwgpRRC7N69++Mf//gLX/jCX/3qV54nCfKute7v73/f+94XRRXOc+yulJJKzfi+T8CY/4E8Qc+54NkYY+eff35XV9f4+PiJJ544PT0dx3F3dzfn/Pvf//74+DjM90j+j9XTfnP6nX2xIxCpp4Rlv+yyy575zGdOTEyMjo56nlepVNrt9ujo6Nvf/vbu7m4AVg4bPeZSj/+dtPjxyAx9zWtec9NNN61YsYKAyoyxMAx37979gx/8QClFoGXSav4H7lqPFx2N7E68zjnftm3b9ddff+yxxz7wwAOED6tWq61Wa9OmTc973vOEEIj6t/2wjw8JIV70ohdVq9VGo3HCCSfEcay1JjDcz372swMHDgAAFRT5HdZk4Khld0pI/ehHP3reeecdPHhwenq6UqkEQZAkqbX2He94R6VSEcIz5n+igv4YiKpSvv71r7/llltWr17teR7hnH3ff/DBB6+77joXayNz/Lf9vP9VdDSyOykzW7duvfXWW9evX79nz55KpWKMqVQqExPj55577lOf+lRjDABBvn5H5l4p9bKXvWxqaurQoUOrVq1SSmVZRrGzn/3sZ7t27Vqgs/1O0tHI7jSdX/jCF84+++wDBw7Mzs6SekNlSi+55BKyRAncOx85+P+vRCia/v7+4447btu2bccee6zWed2yMAwffPDBu+66ixxQsMzuj4TKIFgirfWCbXFJxeAx+rAR0FprLB5+56XYp8tlhsJPh2hnZqbuuONXvi8PHjzgeTJJ4u7uerM5d84555x00kmcS6uRMwHIAX8X5p6iaZVKpVarjY2NUaSJZicIPM7ZT37yn0qldC5ta0emxVNGo12e8SV9te60xZFpmiwsVdo5wu0eGz1u7E4wIyq77Ny3C17JxT7cCzsqX2rBV0u8KgIgMkZhkaVfgTjbFYMmdC7BAI3Rt912WxgGu3fv5py12y3f9zzPS5LkBS94gef5iFZ4HmOc7vJ4DdFvkQi56fv+CSec0N3d3Ww2afsiKaBUtmvXQ7fccou1+mGTm3B+LzREpNQWKBA7Tsq4uSvPIwWk2VJNGdzPoVifdNwYQ7GO35wet7kkdy8uVVNlSa51Bwk3SwuABo6Go0wL7oWAD5tNX651QcuPLiWllNK//PLL6/V6u91uNJtkpM7Ozvp+8KxnPUsIqbVmALQq4XfCVHW4/FNPPTUMwz179gghPM+zFj3Pk1LMzs5dffXVSqkjD+vhpOwRwM8PI7mKc2gHxiKZ3aUTkBgtV9L8TehxBgCTM4useyzlOrgmW+5Mt9YXD4G1FsujzhgrRiSXDbxgdnaktAQnchbUeLnhpl/uP3igWqlQoLRncLDVak1NTZ199tmVShUAOJfaaM45MED2u5PLmWXZ2NjYzMyMlHJoaGjPnj2+zwBACGktPvDAA2NjY2vXrj/CFcpCHRHp/wBYzBguyH7udFwrFSF0U1+WjC6mQYKP/KGuGyEWqQW/IT1u7E5SeXFwzpW/gt8sXLckKqvcrmjJn5DMIBQUtcFIkuQfP/WpFStWPPjgg6nKokqUpmmj0bDWXnjhRZwLABCCp6kSQvDflWYYVD9ncnLyjjvuSJLEGNPT07Nt2zYpZZqmxEyTk5NXXXXV//7f/zsMK2UpsnhbLmYTAB41Cx6Za52EStO03W5ba7u6uh7HDODHbTrLuZu7d+++4oorgiC46KKLqE4iEb0DKdDEf46DC4XPIiBjhQbBQHAhpRCMcyFozkhaU4+uh10/ZD+QYkN+5e9973uzMzMqy1qtFufcWCsBOOfG2Cc96clUq4gc0nSF32JxgceRXE36OI7r9fro6OjatWujKKJkP8/zarXa9PT0VVdd9cpXvjKKquXfHu7dtVZJkiRJolSWJFmaKqVSpTQZb2mapmlKwCTyetFIUlU2qlxZqVTCMKTGDV1dXX19fbSWOOc33HDDzTffvG/fvosvvvhFL3rR4zUOjxu7k7bAGJuZmbnyyitvv/12a+0999xz9tln9/b2jI9PjI2NTkxMttstGhGtNeeMc4GI5AGE3FhhBpBBbmIaY4y1UojQD4IgIPUeAIIgCMOQMTDG0pmeJ6X0aBNkjHHOOOdSerVataur2xgTBEGSJNdff/3g4OD27ds9z8+yFBClkKnStXrX2rVrWd5LDNI0DcOQ9tYlTZHfIrBkgR7o9AQo1f0DANdGyhhDMKG+vr5jjz220WhEUUT1irXWQeDRa/b19c3Nzf3t3/7ti1/8kunp6XY7hqJsEy14gh5wDlprqudBp3EOrVacphnZlFQtmbjcqa/O/eAsKFp+nudRv8FardbV1UWx3nXr1lGt2WOPPfbee+/dsGHDKaec4gpLlV/z0U7E48buzk7dunXrQw89tH79+jiOx8bGfvSjq+K4HccxwQlLNUeRMSD9h1CHeQ9RwFQpKFa5wy0KITjjrFAY6W3J10lOBuftcVa/uzIVgWm1WoODg6ecesru3bsbjYbv+4QVyZQ2xrTj9u49u4eHhmu1GgD4vk/OeLeMsVRB8rcLonKPQfPtGpJBkYjoLCUXKN23b99111337W9/e/v27VmWrVixgrohaK2jKAAApRQVXLj11lu3bdtqLWu1Wq5bCU2NUlmWpVikw1prybSVUvh+QHpgWTWnHBrCq7FSn2RWZJ9QElkcxxMTE2SVMsbiOO7r6zv++OMRsaenp7u7+/rrr9+0aZPbY7FUku3R7rqPp3SnD/fdd9/U1JTnebOzM729vULwmZlpwqiQfU3DRwKAZA99NsagRWBg0LpKoi7bHxhwxjkwwmeT1CFgOo1dWby5xUDR8mq1SqLitNNOu//++6nendZGCMmYtNYGQRDH8Qc/9KGBgYHzn/Tks5541voN6xljQnBr0fnsy4aau/vjNYCPnByvEye5FehGBor02dHR0VtuueUXv/jFVVddNTY2hojr1q3r6+trNptxHBtjPM+TUiZJMjMzE8dxf39/vV6fm2tkmZ6baxijwzDknBmDtGvSZUn6sKJvAgBwLsh5UJY49JmYGEorgR6SPrvdmF4tDEPa6uv1upRy37591Wr1gQceuPfee0877TRbathG0u3Rjv/jxu606Kenp7ds2QIAzWaz0WjW610UhHer3HE5EVXZJV7veCEFF5xjyXChW1CsCAEZQpplaZpyzqlNl3sGt5AAwPO86enp/v7+8fHxer1+4oknjo6O7ty5U/oBjVelUiVbzfd9Y8zMzMztt9/+ne985/RTTzv33HPPPPPMM8544urVK+ni5Cd1NfF+iwBgZ7WzIvvOsT59labpHXfc8eMf//jqq6/evHnz1NTUunXrTj/99Gq1Oj09PTo6GkXR8PDwvffeW6lUGEMq4xrH8ejoaBiGYRgwBpwzRG6tNQaFYJx7NAWkitD0ZVlmjEW0vh8IIcvsCCU3Cx10yoy11vd9GnOSfVj4r9vtNi2qycnJ/v7+qamp3bt3N5vNa6+99tRTTyXtnwafFzXbHtXQPW7sTvduNptjY2NTU1PkD2k0GlmWkNZFjOgEg6sKTTEgUvWMMcYanapyBppzwxNnI6K2xhiDpZXgLPeyVaq1rtVqZCRJKbds2bJ3714hRCWKbK7RepwLsqgAUWu9evXq/fv3b9/x4NTUzNVXX7tq1aoNGza89KUvXr9+/YoVK+h2NEO/3Q6mWMRiSC+nhddsNvfu3XvdddddffXVd91114EDByqVysaNG88999wgCHbv3k0V//r6+i677LKrr756bm5ucHAQwCqlpBRC8DTNKBNKSj+KoiKpz3AuKYAohKQEAFIgASDLMmtBKaWUpmkq92krtG1EhDJbk+BzWg0Uyqc7Escx5ZJv37691WpRMywi1z/5MdDjrMyQU2/Pnj2kC6ZpxjmEYcA5z7LUWhuGkZReksS0xN0aYAVKURlt0zT3wnLGWa6CG2O44C4eAQhSCPpJuQw05KyAiMA5E0JkmQrDMMvSmZkZRAzDsBWnSRwDA6VNEPjWWAQQUk5MTARhSNARGvQ9e/bs3r37+ut/Njg4sGnTyeecc/YZZ5yxcePG8os7Paq8KT/utNgT5+Tc+Pj4/ffff8899952220333zTwYMHtdYrV64877zzKpVKmqYHDhxQSk1MTNTr9b7+/hOOP/7AgQM33HDDunXrGGOcy3a7OTs3G/hBFAUWsdlsdnf3kmAuNEPX51U4M4ZkCqmijElqjMMY9zxJTjOaXLcyC4bmQnAEZNDhdUREtIidkrSMsWazWa1WkySZnJzs6ekh26/M6I/BO/noS6KWTy9NLr3PLbfc8q53vWtubm5kZIRzXq1WSaGUUtCQCcEB0AX58lGwqFSmdQYAWts4zYzW2hiaTsE5I9vIGKV1mqZKKcG453ucC8LOMM4YY4AcrUVkwIBzbo1WSgWB32jMQS4LbRSFFb9Rq3VNTc/s33/QWrnhmOMacy3h+WmSCulbBEQUXEjJwyDkjEdVXylNGPFKpXrsscece+65Z5111qmnnhqGlfLYWKuNmVfHgjG3DJaOAxcsBYUK3jmHDHoA5FyQIejIGLVt2/Z77rnn17/+9W233bp58+bJySnOWX9//8jIypUrRxBhcnJyZmbGWsMZ54KnaSqlVKkeWbXq4MGDxurBwT6t4vFDo9Zkxx5zTJJmWWZr9d7ZuaaUoZTCWpOmeVvMZrMdBKHbkBnLrQWtTaPR5JxxzhjjURSSimit0dporUgYMZbXsTHGAgOGHC1YtFrrTNE51KfEUiUfclaSQ2n//v2Dg4P/8i//smnTJjewzu/02/HM0LJpt9txHAMAme0ket0exzlHtIiGsoSg1PeLcw7AlUoAue+FClIaDkBgwDlwLrjlwhjLgAmejwUDZtAKCfmAApVYyRkMrUVsZlmWplm9Xp+ZmalWa81m6/xnPOHTn/v8Qw/uuPnWX11z9c9uvPFWP6wJRGtQm5Tcl0IIIbhWChGa7bkgCGq1WhAEWZZt3rz5zjvvtNaOjIwce+xxT3zimU984hNXrBgZHBzwvKA8+LQVISJjwJggwVLe6+mDMdpaQ8ooOZp83wMQjIG7WrvdnJ1tzM1N33///ffeu/nOO+986KGHduzY0W7H1WplYGDgiU88s7e3NwiCZrN58OBBCpx1qliC0UoJzhFxbGxUazUw1M8YzDZm1q1d+X/+6iOnnHoqIvvXz//bZ//vl3t6e9M0DcMeKZkQjOouSekxxjzPl1IyBtYaknycizAMsywBYEHgh2Ho++R8yxUZrfOeDoV0s8BQMN8aSNPEaoq2WECwViHm1i0NFEl6AGg0GwcOHDjllFMcl5ddro+cHmcFtNlskmVNztc8GgwAucbGOc/fnIxXa61THhgAA6GtNVYZYyjGRIuEdsYkSUi0O98LACBalst2Tpsdy91VxiBUKpUsS4Xg09PTK1asmJmZSdP0ltvvmZqc2XjCUzae8KRD443vX/GTkZU1zoUf+taSimmNUdYyDhyQBVGQZRlVrahWq7VajSyt6enpm2++6dprr8myrFarHXvssWedddbxxx+/bt26oaHBnp7e/v4BKY+kZbIOUsoDAGcONBqzs7OzU1NT4+MTs7Mz27Zte+CBB3bs2DE6Ojo1NdVqtRCxWq2OjIyMjIz09vYKIRqNxtTU1NzcnPNOBkHIOdNap1mqtSJ9gHFkDMIwmJ6a6u6uq8wojaecekb/4DEAkGbZ7NxMtVarhPVWqwlgoyggJ5jvh4Qm0towZhjjQjBjmBCyXq9PTysCVFLfWd/3C6eZkJI5/GPue2A5NEAplarMWgOcMwbGaCz1x3QeJ8/zVKb27dsHixSY/3pT9TDaKT3H3NwcOUyIj5VWQBWtGOfAGGdCCM+TQnAyKJ0HFxgjbwzJeVd4mqwlB68jRZ+WCuc8R/cq5Xm+4ILsKsY5Q0Q0jPGZmempqamenh6VqcnJyWq1aq0ZPbT//R/48Etf+oq4nVx11dX9g0PVar3ZbPpBgEhZHRyAACCMC5EmKTCIoggAkiShaIuUMoqivr6+kZERxliSJPv379+8eXOj0SAOGBoaXL169apVq4aHh4eGhnp7+7q6emq1aq1Wo57X1tpGY25mZnZqanJycmJubm5qamp2dnZmZmZ0dJQs/snJyUajQcUCqERMT0/PcccdNzQ0ZIvUUmoy7NKRXPadMVopCwBSSCmkNqbVatVqlUqlaqzNZhK00NPdt+3BnX/8x28775yzZudmv/Gt7/T29iJaLgA1BoFPs1Ov1xnjWabDMAQArXOFW2tDPe+llEnSjuM5APB9n9LYwzCkPvdQWNXWWkRgDLVOlTJKKUvap7UWgTQ3Z9FmacbILJYyaTUPHRpzbFY2iB8VPc7SfW5uTikVhCFwZgGNyn2ObhUKxj1Per5UKpNSBkFI02OtVcVWLqXnTAQaI/KuOFcr55y8b5b8M1JQ0AMYcAYcmbEmSeNms3nyyScPDz/phz+8cnhoxdxckzEmhOztHbrihz+57robEZnSuqenN82ySrVqreXCaG0YMECDyAxYQGCCUYOX8qZEBVvoYSgk3t3dvWLFCmrE12w2Z2dnb7755tnZWVJGgyD0/cD3/SiKKpUKqXlZlimlk6Qdx226povpAIDnedVqdWhoKIqirq4uKhRjjKGeUFmWNRoN6hkfhmEQBKQDOPvSOcEYY8aaNM16e7uzLBsdPVCp1oeGV8zONoLAGx5c+Ytf3Pyzn/5CZWlUr/X09odh2Gw2wzBkDBuNOW10pjPBJCLEcWyMMsYgWME5TRbnIgyDMIzI1mQMaMpIlpNDwtqc4Y0xtA4L/4Iji9gxe9CiAQPABEjpSWPM1NQEACAaaznn4rFFPB5nz0y73c608iEAltsThWpReNnJfW6tJ4XWVmsThlEQ+LRYC70FpMzzici0J68ffaahJElPt9ZoCTLJGfOkEIK3k9bszMyaNWs+8pG/uPHGG77zne+042Z/f//s7CwAKMOHhlc2Gg1gvN7VYywEvmAMlE5arVYYhsAMgDDWcCYsGrBIvlBE5m7qvASISBARuri1tlKpVCqVvr4+ygql2IK1GMcJOT3TNG21WuSflVLW6/WurhqJySAIoihy5bM9zyNkC2E2d+/eTRYzK2KW1WqVlg2JWBfiocF3m6EnPBZCkiSHDo1t3LjRWJiZmQ3DilZG8GhgoGqNYgy5EAatVuh5UkrebrdOO+3UMIp+/ouft5qttavX+0GgtbSowaLn59KK9AsCJrRabSrxQMsvjhOlNGl0WltrrdYmTTOtDSIjb0yxMrnrhkm+ZguWWWaLNs4TExMFpwHtwKTMPipv2OPpdxdCNFpNIWW1WmXAyko2uoq7iBZQKYXGcmGV0taCtRgEPqXYkCIOwJIkjuOYXLxJkiilent7XZlmLBAEAMA4t0ZlSnlSRlFg0WSKH3PM+n/7wr8NDvZddtmfCcHDMDhwYG9fbz9jXBsppReGNUJ7t9sto01q4iDwzzvv3J/97Kf1ak0Ir1brUkoHfqCtsdYhV8kQ7viJoRQVp6HIsiyOYzqfOLhSqURRxfN8eh0ndGlbo/lLktS9HTWGN8a02+1Wq1VOq6MLko7r3LgUrqYRdq693JonXEaWAhqt03e/511/8Ad/8Lr/9bpmsx1FkfbRasMYQ6vJfELO0jTlzE5MHjo0PvbSl7/4zz7wgU//02e+/OUvA0MpuZQcmM8ZAgfBGbkIrEWKUnd1ddNiTtOG75MDWiVJ5lxPFAS01pKDR2tDvkuWZ+twg9YYnRvuaLVWwDgAEIbHWgflUJwLYx5dAORxYncExpkyenJykgFwzknddGHRzkwwZq01ANaiRCS1hK7BuQAgl6VRSgOA70sC20RRUKtVlcoYQxd/pt0MEa1RiAiIFrWx0hgNYAcG+59wwhkf+ej7Z+emhwaHDo2NBX64b99eQIjqdc45Q1741MAYJSSv1ypvf9ufXPC8Z73nPR+qVMLe/r52HHt+6JQoxmjEOhk6ZYjIgiGhI4Xgn0HshFGK9+VF9BHnBw2A7ogFNtPBM6EEE3fO7/KtCWJVtvboJ7V69NDOHZe9/32v/cPXfvELX7z71/ec+IQnzM1NSy8UTCqlrFFccGNspjLOue9DT0+354kbb/jlvv1/ePbZZ11++eVKZ2kqiVMZz7u0CiE4E54XIqK1Jggietq5ubk4bnueBGBl77uTEcZY57Sg7uQEM7GAWZYBMqW0MYYzyTkXXM7OziiVCpE79LTWQSCl/G1EVS0g4yJNk1arRZxtrSW8itaKc+HS8To/Yait5UWePysQTmEYRFEAgM1mq9VqQRGuN0YXy5rWi5OPrPC4Sc6ZkII24jAMtWl0d/ekMSRxXKt2xXHc29s7Pj7ebrWUUmmiuru7Z2dnPekpFUeRv+WBbddee+2HPvThG2+86cc/uWZs7NCqlWuyTDPGKXcBkbLdGGkyxqiylCXV2VUYZUU4hvjTWhBCOn+cLfAkpOwK0SnpyEsd5RfXA8udrOX3L7ZQxlgUReXoNbGR1nr37l19/T3Pfe5zdmzf9smPf+yEE445dGjM96NGqxn4obVojZJSWgQG3PeDMOL1enVy8lC1Wsmy7P77Nzcac4V2DsZqNEV8FBhwbq0hcGuapgQnphA7IXPKMwWlYDn969azFwS+72VZipYWQz5K1P94dnZu375969dvKKDmsjDw7CPvFPubsrvjXyycTQ6oSWIbEbXOyg+Uz5+1lgMAUzmEhjZEq7VJkjjLVJomANDV1UXGXxzHbrXknsc8yYkFQSQE9zzp+770uBQCGCRt9elP/9M733HZYP/gtdf8bOfOnXNzc11dvfVaV6pSayGOk0qlGgZRd1ddqdRipo259dZbEE1Pb+/+/RMbj1k7N9fgnBxqrGBW6ziN88gJZtqgbYHc6phmBTiRc+ZkGxZO6ZLXQkNJcjsWd8sGi67Zjsqyw53jUsnIYCAjBxHXrl3PwO7bd+C8c8/p6x2YnJgAy7lkOla5KmzRWoYIFrXK5MTkRKUSrl+/8QMfuGzt2rU///kvfT+o17utQQBACwgkrY2yDMBYi57nCyEopYEeg9w4SZK4HDz37m5ryseE5y+tlIrbaZYReKGzqVK5wsnJyQ0bjsG8BZVHTnoCKdAwPCy7/kbs3uF1RCnEdLvt3GFkkNHEGEOZXR0AHc0Qz9ct0watVSQ54riVJG3qiFSv14UQxpgwDAnv5bbpEjdAkYLkeZ4vpfB9D8E2GnP//Jl/ufNXd3/uc587ZuPxr3zlK+v1LqNMEidhNWi12kHg1SrVWqWudSYlD8Kuvr6eF77whWNjozt27jjjzFME8xgX7XZq0tQJS88TFCcu+DKX36RPY+EqxhLSU2tNGqdSutj6jLVYvAgDQCevaQ2wwr7nBWSa/FeiaBzi9Ci3J9Adm82m04vCMKzValEYCSn8MFBZ8oPvX3Xh8y7+X//r9X/z13974qaTpufmenp6rNUUtwZrCYdq0VYqleHhoU996lNRFP7RH/3R3XffMzAwAEiPxChBDRGQAVoNwJWKfd/QIJD+RhGuMAyFEO122wVMnGuL5LpSylijrRFMqDhBQGON1oZSfHKTj3MAaDQaW7ZsOfHEE6OoQm498uOVmPHhWwj+Rn1V3S+NMVKIW2679U/f8afTU9O9vb2ENLLWap2RBxuA0RxDJ0OCCeFxJtDmf3IufF9Gkef7QaVScaA5XsCGHFS4YAi6GAMA8mAwAD/0GeBcY27fnj07du4BgGM2rrUW6vVuo60QfHT8oEpNvdbdarXXr9uQxnHgy0ZzasXKwUvfdumVV15xy623b9hwTBTUWu0MmNQqSZI0SZIsI77n5DhSSnsep6VYvBEv69aYAwBp/jjhPiEvPmwQCb+KjDEpOelIjtcdjpdWF42gs1uczZfj6oyhMaEnIddkpVKJopAxbozWRvb19xzcu+/E447t6u760Y9+5IeRQmutnm014mYzS1MAWLliVXd3rzKo0qY2Kgz9qampSqUyPDystZHCN8YqpSkMTC9KUsspXbQsaY4KLdSYUk4TK2rKUijKaI0A3BNGG62N50lAiOOMdHStNfkcVZZ4Hj/mmI0XXnjRm970FmOUEIJUivkeyf9Kdu/wLkCaJH/zt3/79a99rd5Vl9JTWSY9qZTOsrxkwvwsapa7kJDgR8hzXEDgeUJKJkRuqjuvfBGkyD08pJ4qpThniOQXkkJIAC6FZByzLD14cC9n8Na3/sm99/7617++tzE3F0XR7Nz0mlVd73z3ezgX3/vuD39yzfUrR9Z6MpiYPGSMnp6ZEpKdduoZSpuueneSKel7zFprrBPe1McrTVOtDVmVAOBch/TA5IyTUhpjyUNCMAEhpDHaGCulIGXXWvA8QTsBaWmB79OGZqxtt1pKawovUFYRICqt2+02ALi7kC+f0JFQWLrFZsAR0Qv8alRJ4uZ11/70aU956uihQ54XSE9MTI7HSeNFL7zozCeeuWvHg5df/h1PVru6+2dmp1asHJKCjx7Y5wehH4RhWMsycpJYo8mZjIxxKYXnCYoUkbglbcpVf6D5pvXpwN5SemEYkXDggpzOxhhtrUWLxljGmeCCEEcAAIwN9Pc1m82VK1d++9vfUSqjkK3WyvP8Emc9jD7zOJiqJNXGxsbu27xZSlmJKjQZRhutFEGkcheBeyjGrLEmt1NpgXIhOAHuCE1Ku54Dk0Ep4ZIXlcud5oCIxmhE4NxTxnCJiLZSqz7vOc9at271v/3b54XwpCfSLM5U/Ko/eNXLXv4ygOjY41b/4safHTy0u6s2YBFWrl796le/6oYbbwDg3fV6ZrT0JHD0uEDOjdXGoBAcQASBT6BwRGi32y7e1G63m80m7bMUXMwy5fuBtaB1CgC+HwBYYyyA53lMa2MtWKvTNOZcSClTrXWWxUnCOS9SHHM3FykDtVqNM9bf3w8A5JV30Ilms0nn0CB7nu/7lICCyFSlKicnZ//l85/Z89Ceb33ne7VaLc3i8UOjp51y/F988L2DI5sAUqPUP3/mC9VKJQj82dnZs554+oqB3u3bd3DgSSvxowg4GKsFWsYkWG4BMcerWtqdyj4lKHJinKiixUnaHaVTcc6l9HjAPelJzpXWlrn2tIbUVMYQrdXaRlFFCAkAiGAtCMEKV/0jdb0/nhCxSqVSdr9Y6yyJ/M/8TECGDItQsFMAEDFNMyG4EKx8vvsARZCVGJ0VgBN3gjForWbAGGKmYq2yVatWffFL/7Znz95Nm06emcmCIFjbu3b/vkO//tWNyuKP/vPqSqVmTWp0VonCmamJrnp1cKBvYnzSGN8XXqMxK31fhiHdipwATswzxsMwIOFKW3O9XndJcVobynajwAqisTbf392eDsA4F1mWpmkcBCE1MWYAZPORf6a7u5vQ1L29ve12u7e3N8syLkSr1SJexyJLRkrZ09NDDKd1Drsgbcei2jO3r1qpGWP+8R//ceXqNfv276l3dQ0ODR0YO/Tl//jqc579TJWp8YnJDcdsbLYaXlgZGzu0e8+es04/be/e/XOtuBJ1ASBnAhk3wBBRcEZhOK0pmbWTooCFA9QWABCaL7LloihUypA9agypRpq0Fzon56LClkE0yKDVatbr9WOPPbY4jc5/dFz6OLA7MdyqVauOO+64m2++OUkSWsGu0ZeZHy9mjCGgU1TKthdj4KxZkpcucuZ0YigQNW6RaG2LUr0WAJTWiDrN2lmWap15nrd69ep2u13E/9j+vYeuufbnh8bHb/vVHT3dfZ5IxyenhRDVWrR71w4BODM1ZSwmSeoHATcqiS25HTj3sITXE0XuHBSeYHK/kkZBzGotAnClsiSJAZAi6s1mkxQPz/MR2dDQoO97c3NzUKQLUQ2cWq3Wbrer1SqVoFizZs2hQ4eonlYQBJSEReNGyfxRFLXbbc4FYxyRZVlGBqLWmnMwVmVZPDl+aHh4UKmMMaa18f3Qk+E1P7n+2muuY4xPT8/19vWNHZput2MppdHGIiZpShazMoZLwTmzjNEeJX0RyCAKfW0MWc5Oupd9Ek4w0aABgO9zSgxXKqO6hlorZ7+SlJT5yWgMA7BaqyiKzjzzTCiFLB4tPU5+d2t939+0aZPnea1Wi8KfpHs4ZwUUXmRWikS6K7ixKMClnVwvhxaGIqzoBAAJe8byigasQP9SgiljdtWqVQDMGA3AwjBAsJMT0/el8a/v3x6GYTtWxjLOvHq9W+ssTZMNx2zcsWunMrrRnIvCapy0leaA3PcDMoWd3BJFsiYAkPOEDDKX2Fb0GZaeJxBlpZI3AgGAKIqEEJVKxfN8xoTnCa3zeCp1jEJrhZSFnmBqtRqB18mjH0XR9MwMZbdwzotKgKbZbKZpCjkKGqniAwnXNM3arUYYedVKVKtWZhptLjytjecF2mSzjThuN4UQmbJj4/t7uga4SBGM0koI0dfbe2hyutVuVypVYwyA5ZwLQbYXAwCLyBhnDAFcOkjO7qYoDEZUFhCcMymFECGUqkNi4XFy/3LOERmp6dVqdPrppwCAq2T4aJn+8WF34uCNGzeuXLly3759aZpaa8l4IneB8zm44XC/glJVBvJPM8bIKQk50wMAuXFcOqYA0EKILKMGWsJaVQwxMoZSct+XxvqIxvOEJ4WQHl3Q9/04gVaciaYNojDNrBDQbifdPdVK6IFgyNBYyy2mWYaAylhfSii1xnb6g5SS3DLOU0Rv6jyVZJNJSeE27XmS+C/LsiAI2u22UnMAvFqNKOGr3W4THCBJ04oQcZJQ8zDGGBWEon2D9EYphMv6JWTB3FzD90PnsaEaGLYA1RHYvdGc6+3r3bVv3+DgKgSRxLpWq01OjHu+9IOQa9tVrxvLK5VKszUb+H6tWq1Wq+29+2u13MlowYC11oBgQgpprVUqIRdNWe1cwBvlvR1yBZUhohDcCQhWSr11LEGOHSE4lY1Yt26D1pkQAvGxFP95PNl9xYoVAwMDu3btoqckZxMUlmU5eoIld1DZrDHGWNuJRrmgJCIDEJx7UlJ4hQVB1Gq1KpUqlZ0BUG6MGADjJCkjzrkxemZ2rq9vQEqZpnEYhpwHXHq1rvrsXBOZrtbryCFN4u6eWppmRmOm1eDQyNxcQ/rSDzxf+GUPo0PYOncbrcMORqVYusYYxjhpoXlqolKkjbRara6urv7+/iTJyJePiLRaSO/yPI8LEUYRaQkUZyHb3RgTRZGQstFoUPEcqreTppkxOazS+UCcU0t6fhCI0dHRelfV933GwShqUCW7u/uUirNMdXV1WxCNZmKMCcNICGHRUtq8NSbLMo0G0XJSJxgHxoDNUzUXRAPK0tftxgBQpH4DIoXYOh7CcliDBpk6fjo7RAhureVUr/ZRFqx9PNmdRJ3WmnKoddECjiJq6LKMSlFA96f74MbLKXyM8UK659t0EPiVSoUKyJBJZ4ziHLRmeSjX6Ha7Lb2q7/vT0zNdXV1C8CzL6vV6s9mYmz0UVao7th/o6ukZWbFy37793d1dWnhGpYim1WxJLpvNdhhWpSfStG2FlUI6RifOpl6NJNdFUWOnbJ27vJsSiFIEAbfWhmGYJAmpLpxLgDxcQglTzWaTAg6ImCkVBIHgPEkS8u75vm8RJyYn+/v7SYecnZ1VSlPiLsEuSlzFGGPGWN8P2s25NNWcye7ubqW0tYYmq9Gc8SSfa0xxLiYmDnX19Hp+iCiNMY1mU2tTr9V838+yTEgP8wwmLoQnmEBAm1d+FiTd3SzzAihV5pOSTo8OFeL4h7RQxhiVxxJFZg/Bvwkp2GjMDQwMFLFqLYT3yN0y8Pji3V2qmAt3uddzb754AyoLAFtgtelPLNXLdl5IRCRu6OrqMsaQ0UZQaSE47SfGMM/zwjAAgCxLh4eHZ2dnsyxpNE0QyHe985JnP/eCW2+59d+++JUknlu1cqjRmAVrqlFYCYK43a7V6oA8bsXVWmSMNdoopmgKacuicKAsKno7KDzVbyIF3VosRQsQ0QIgY5yqF3V3dxPasV7v4pxprUg0ENCcPIxplqG1BiDNMsE5I8HBWJIkjHNSkNrtttZWCGZtvvZc6LpgO8ZAeDJkvGWNPnjw4AknnGCtFoxZq6JKMDZ2YGig9w1v+MORFcP3bXngW9/+Tg26ZdhtreWMkVKapVl3dxfkTudcJCMgMoqmGMrzwE6edecBStoLuA80bHl920IUFnh3tz3ksBzP84TgaarTNE2SlC4MAEUs5+GDqR0WfVQMfQRCRNrWSa53VItSnnL5fF4gKJwcgkLquyNOWSfPY5IktVqNMUZuH1Kaa7Wq0coIgRaBW+rkLoQQQhqDnudzzucac8SL2ugnPOHkt73jTwG8TSefcv/9m//l818+/vgTm4253t4uYJYBojFScOZJpUyz2arVQ6OtLXIoyeXnkCHupWipk80aRZHneQBYgAW4lEJKkWVpkiQk2rMso1yhdqutTBbHbbRIuyKJUq01udvJmeNJSXcnVqrX6kmSxHFqbe4jop+4RyLMCWMcURhmms1GvburOTc9PjnxxNoTETHwg0bcgtT093U/8cxTPvTnHwEQAO39e/f87PpfdHWxru5ubUxjbo6qxhprAs/jTABHZhGAMeR5GWbGCchNg+HYHUspqm7eKVjBGBciz9cmctxCzA25UwucMwcA0jSN4zatK8c/jLFHjhJ7PNndRT2wU2Bk3gkLPrOiICMUjhpnBUKpvIyzAlnR55bcVVLKZrPJGEpfZBoQLVoEQEBOeHSjbbPZOuWUU+684965uYYxamh4cPfuXd/9xr+fe9751153/aFD4xvWr0vipLe3V+u0WqkHUYUJEWdpPahykXT3dLXiOU8EkvsFYruzXznxUzx2DomJ4zYl+pDTQgjpnMT0dmREDg8PeZ43OzsXhn5vX2/cjrUxwHKbmN5XF9XwqGwvQZIQoNlskQ1KkEO37eTn55Y+jT9yJgwkKssQLQITQvT09CVpLDg3Wke18P777/v2N7585hPP2r1rdxRWqpVKGIbW6HYrBcZ83/MDP27HYRgxziyQXc44Y8A449TxgWlNgh+ceC5Ujnn2K8H7EDRNlmMKp7sKIchC01oTzoImnTKhyn0N5jPYI0KJPV7szojdqTWAi32WWZyo2Mtyni7r7lhyabvTKPhMoBqW+zokQXlpm0OEJGkrlQKw3IJignHOGN++ffvdd9914QUX/+r2u4eHhwBgrjEdx61bbrlx/NDED6/6ycxcYpGFlaof+kLLV73m1Xf+6ldzjbkgqCPHoOJrUJpl3MocA8w4F/ltilBXjp8pFC2AQnVm3CJaBrQSrNbKGCWEl2VNck6PT0xUoqoxttU22po0TdMsC32/3Wpbi54nna1GXk76s9lsALA4zhCtlF6SJtYQTo6TK8wYm0fjsag5BbZWC9OkDcweGh+bnJw488wzbr7p9p6eniAM2o25ls2+8Y1v3nLzzff8+gHGvJXDa5isTM1MnX32Gccec8xVV/0IAIIwQKT0I4uF/xGZAYMIeRJq7mYoPDEPwzHcIqHMCrAQFNu7EIQYV05LNEY7j03+UksUOsf/Cna3xUVZcQ8qUa0B/N7eXppda63WqsjtBYdqcBaMe25nrxTDwCwiMEByx1rDuTDcCsxFviu0xLmoVqtC8EZTCe4hUiUlyxizxvie19fb/7WvfvPCC1/w+7//e9/45jeajbnhFUPapL+4ccfV196bKe0Jv79nOIoq7bh12Qfeb9DceNMdQvjVao0jBn6YqLS70mcVMgaUPM4Fd4vU9zoFuLnIQ4ZorUXm+N5oA4hccE9KRCsER7S+74VhGLfjJE6CILTWxu221hqAGU3IMOJ1jOPEJbCTllhkvhuttNGZzQ1i0CptNDR5NCzFnouETs45Ip+baY2MDB8aP3jnnb9+9vOeE/jBT66+tn+gX8jQGm/r9oMPPTSRahW302qt1pocPf2M09/8xjfvemjnHXfeFUa1WrWmjKaMDqQ6zEjzamkTQ0SAPAWm8M6Qh54bY0q6KrEOAyYZI899zk6iyBzQ2tBcElsHQaC1IF9nztdUC0gskO5YdJUq8+dvxu4WDQNyANGzW8ZoAzMAUK/X0zQhHxYr8hgKqG9n68KS89EdJB3dWGuskVIiWLRoETkzQgiLQghhjU7SJIoicsgwxrLMCi4yVJbqIVkUAhgXvoyGh1bu2bP3zW966yc+8Q+f/ew/ffGLX7j/vs1pkoxO6ObszJpVK1auHJECTztt00te8rKRVate+QevasfJk578FJ2Z0YNjWZJW/Fqz0QaupSc9KQnCgRaFlH7gSyGJd4MwIOw14yxJ25z5ABzRSikzliGi73uMMSGYtcA8ThqqFD4CCi4s2jQ1kntBGGRZFkUVznmWKUQbhpExJsuUEJJzYAw9z9daWTTSl0BNexA5Z4z71hhrMfClAQagOWfaaKM149yTlYGBEd+LNqw/7ld33R1U/He96x3Pu/BZX/jCl8ZGp6dm2mmqskwBs/1DvSIUr33pqy956yV33XXXP37qn7kIBwaGhBRaKVrpFhkAAkMA4IwBcERuLamRHAAYIoBhnEFeQivXwhlj1gJj3BiwOU6uAz0gzJkQHrlueVElmOd1XukYwaetlD4iKKV9X5bYnXiJP27s7qhg0xzpSOwbRYSGBQqXKJUggpS8zOhLXSQnQ6hA2teAIVBK3vxty2qKnpB2yxiTMtdhSIvQQCUpUXBv3bq199776ze/+c1/fOml73znezxP3Hb7bbOt0TTOBBNrV6+JgorS5mc3XvcPH//s8Ir+SrU625hRmfWrYfdAL2fcT6MsTvLSxNZag0bbTGtlADFDtL7vRwoAGIUJAaPUZEYnFNnR1lhrbYpaa0Ag94s2WluDyDxPcC6MMsQl1qDvBZnKEIF8rNZaa9CiNSajqnKMMSF9Zay2QMoA5wIYMyZPvYgTpVSGCJ7vcyaDShiGYeBLIWSjMTs+Orlu7Zpbbrn19a9/48c/9rEv/tu/PvTg7m3bd0xPzzCG9Xr9mGPXHn/i8Xv3HPrYxz725S9/dXZ2+rTTTqvX681W7Hu+BTKQck21ZJRaRADQFiVDhogICIAEeQRAh81kDAGY5wmAee1ooNBpHQbWCUTKibPWSimiqMK5SNPEWuP70aNFEjwGALAuVk9uCQEYyLt3hN/85jf/4i/+Qmvj+75SWRgGmFd+gwUCvsO9Ja0GAKgdEu9sW/NcWojIgYrVeC7joVqtUnjVWpOligHnHJTKqD4tgJlrzO7bf6C3p/7c5z3njNPPXLdxhCGfm2k+tH33/Q88cNNNt07OTJ966slRNcwypTIdBFFPdzdwDgzrXV2+BEoL5ExYiypTpJ5Va7U0TVut2FqrlBacB6EvudQ2M1YLIThjSZqoLONcGmtVpinTKsuUMdoYI7gAAGOt9Hy0FhjzpGznlq7I0tTzfUL/QpEvxhjjggMjdAoyoJxAYYzRRS68UoquRgZuGAQaWCWqINpGcy7wZBD4h8YOPrRz3zlnnXL+U59+3llnDw4PCyGmZyfuvfuen//86nvu3zE1Pbtq1aru7m5AVomqSZZ50nOOTmdcFfPCcnQTcACwaC0aQOb7khK+qVQcmaOlZDQoQwYW8AYph6S8KaXjOKnVog984P1Pe9rT+/r6rdVK2SBwWbzl/phl/pxHjw+7U6FGwYOvfe2rH/7wXyCyer0axzGZcWWPbJmJYb7ZTkNgLVqwnOW1Fcvs7kZE5BhpwRkXUgRBQAEXRNDaUEXsLFVZlkRRNDY2Vq0FlUq0f/+B2dmZNNWZ1g4g7bNg9arVa9atnZg8ZMFGYZhlKvSCwA8oy4ZxrmzL80QUVcIg5JwDY77nSeENDA4abdIs8z2fcRCCCyG10dYgQxBSMuBxHCuVcuHR9uRqhWJRIgqQIUfhiTRLjdbGmDiOhZRhGLZarVaziZ3auYAEj0PMUsqeQQaC6r0Yspa0ZoxlWYbWAgOlNKINwjCzgnHGGE+TLJBSSpEmSRh6B0cPzkzPJHFMle6yNBHSq1bDgaHBgcHBNE0RgXOhlOqqdXc8ofNiZ8TEOTiKNAi0+XoQgsxQJiWn7EfOpct3I1+TKSoIORnPS3XmXGKDUiaKguc855nr1q97ylOeetyxJxijPa/M7ugSiQ7H7o+DZ8ZYC4CNRiMKTWE+IwUdsyz1/cAhq8qcTaO2wE5ljBGmHwAYA4cpdVS8GaI1FpFxxi1VcbFBEBQJ7RIBkaEUcmZ6ZmhoUCmVpnrVqtXd3T3AkFUiNMrobOXggNVq1+7dd26+YWBwhdHWCyVIRGnHZ8c5Z7VaV5ak4Hlxgs1mg7Em5wRystYif3CPUooLFlUiBkAJPsZqyX3OBHn6CRzi+3m6k+d5jDMpPM4EQbs8z7OoM5VYRAocEs5MiCaxvjEGEHihDBSUO3CNobALWGutsYDMD3wEbhAFF1wwa4wxwDCzCrUxnhcIxq22UkqjccWKkZEVIxYxzZTRJooqURT6fhRVmNJZlukkSaJIVKvVZrtpLXpCQmFluamxNldREDt9CjkXnAPVjiNgDAm+BfF1dxEoYurOWee+pbSBZrO5ceP63/v939++fet3v/vtD7z/Q4yJ+f6Zh3e9PwZTFRnYgmMZbVxKq8nJyaEhb2BgMAiCOE5NkZbPeR4Zdk9fvppjere1kU8GgIIReSI6ImUPkOignEkEDsxyCxopDmStEJIxkJKcFSbOYi5ZEidRJVKKUWAoSdNDuw/0dUf//oXPnHrKMRPjBx/cvuPue7bcfOvd2x/aPzU3NT4x0dtbFxzQ2FQ3wbJMMSzHUAA440IIa4wyGWPQaEjKTQOgdB+wBY8yxjgXjAmVZQgghbCIggqcG8MAPN9HzDOVwjCyxjDOOOdaaaoxiBbpSO7d18aiFR6JA+fgIiWYWYsyEUopnal8RwXknNtsLgxCBIZ+EGtLRcAN2HYcSylJKlaqXZmCShTONWaVloiWfMqzs7Oc81qtaizTSjPAkodkYedrAEnxEgDgHKSUlO7k+wFjjEQ5uRdN0cmiWDMdTJi7OO0AdAtj7PT0zKqVK3t6un7xi19svu+ukzedrrWSkgQ8n9/se2ml/lGzOyuwDVBkRkvptdotznmtWl2/fr3neUmSkTfG93McomN3VsRNO/xd7F/WWqMNcBAeByTR7taJyHdzx+u5IU9bPDIGWlORD6q6n2eNGERkkGWJRRRSUspkFRvnn7HpKeefsPOeG/t66sev8s859cXHrF4tor4Htu74xU2/nJ6dEky1W62AeZnSvk+WggzDsBJFtXq9u6sriqJKtep7hMMVXDC0NlOZMTZLlVZU69mS1a2VyVRmKTPNGq10phTlbiqVWeTAPWO0sZbnGp0lhEyaplwIiqA5ocAZ+D4NDme5e1QKwamCrCdkGAZhFIVhGIYRQRL6uwMhpeeHAKi1zVSWppmxZmJycnJ6avfu3V09fccdd+Ivb7h1ZnpMcE/JipReprTKMt8PgGGWZcA4WgSWZ/47UeW2HQDg3C0GCuvS2AmSRJwLSvYwRd66LcDhTqgjIoU13HGlMmsBLSRJ8tCuXX293ZyzG264YdNJp8+HiLGHDTY9enZnDIAhFpYBUuq4JvcQ6ZFZltHOTh0dHBgdSg163IKeN3CCAyDLc/osY5T2RPelW89DFNFBRAHM2QYkFNBaQCSfN0hfErug5wFgzUvPO3sI7O7AG0Mze8P1123bPjUxLZ5w2vmYqpH+vpe84IILn/sslSRZotAKJucYy6vEQAGGwdxpBMWTUK8/QZpqzoRCSCEZZ7lMKzLcSOobyrk3GrkUfgiQw2+MMYwzKaSQghUNj7TJfTzaaLRWoNbGIILneWFefY1BXqKR5dAqIci7hQBJllmjswIVrIvWV1zA+OTk7Oxsb+9Aqx3fdstts9MTQ8MrrMUsUxRTQQQKlkGuQdF+VfYjc86tw2wTY5CXhRwyxLKMMd8POGdUyXlBraUyloSkIWFItTbWGsE5pVIkSdLTuyGKos2bN5NWOZ/d/2uiqgVQkVFtaHoBa0xE8Web1x5SqtM5dQEttsSLJ5735kBxt+In7oNT+vOVMi+yQKuCwrQ6TfNWCyTugiC4+9f41e/8+IIXvGjl2jN+ddPN//mzzXv3Nk459Wk7d09s2/7QL2/8+Y6du1euWNnd1fXQjp3d1e6WmY2TdqvVbsy15ubmmq12kqTG6DTJSGM2tlzDXgS+53uelJ4feJ70hPBcGxJrqeACSS/aFxgyDrkDO39HIXLVnxyXWMSYaDFkWdpoz2mlM5Vxxj3Pk57kjAMDwaXWxmRKG621VplWOtPaTLXa1miVZVmWWKMBgDPOOA/CwGqNaM8444wTTzqlq6dfm10AHlqOVjt5BAyAIS0exiioxCl1iTEOYBmzpHBScgnPk3Uk58SR3MVhlDIEGSq7GnF+HAYLSAxlOZFN63l+EAS33HLzk5/0lJe+5MXvfs97du3evnr1OlwivHpYeoyeGWtt0WwNEe3s3PTY2Ni6tetnZ5t/+Id/eP/9DwwPD6dpkqaJlFJKv6SWdHAEZfeTw9ASuxdNLBjnDBBwqSVTsgcotAEItojSGQCgEhG8SKIhXrcWZ9psdN/eE45f39/btWP7tgMHDlZqvSMr10npx2m7uytqtacPHdrHOTDBPSkzLcDSZOQIJ2Mwd/xz5rwQ9ECcC2NSQA2MVDJGjVlYHo0rHjmPpDDGOWqDKqMoIitUFoR898gL30NhvyNotFog6fSQr5P8R0ZbQDQ23wM557mAZwwAee6+AEERSgZoMQqjNGkj2uEVI0L4KkOlTBgE1loqk1bsXcAlL8QKp82N2L2oVU7uI865pFwcISQh1gjPwxhLkjSOE8LAuHlcwIH02IQtJZCMpp5QzE/T9pp1K970pj+6+KKL/+HjH9+//+A/f+b/KpV6XvAIefcxSncsqnEzBowB5SaT58HzPIJtEMQHcmHceSs2H6SKRZZXgbHJT+7Y7ouW7vzVzMjXCwwYcEDjXPzUO462F4cxNMYYVhtZObJly64wiFqttgz7u/uHzjrvrK6u2r333NnX3RUEa+68W882m/XunnYS99YiwShqJDiXUggkYIwxwBiwoqYWGooxeILzwrwpP3PuKc+5k8YRaIDIjw6APK8IC0UNVuSMUcydMFlAOxcXCFAod0DQSyGFENxoSz4thrnuyzjLjAIABMPoKHJEDhaoC6fWqt1upIkJArQWpfA54wiWIee8yEkAZOQSZcg7q0+UHCm0KmiUiN3JbQsAGMexUsp5Hd3Uk2eTXBpFpg6Q89FV76HXTtOsXu864/TT77rrbov2oosv/NAHPzwxeainu4/2zEfCt4+a3Q3mQoKVnIlK60KLBSkFzYgQQoiIJoPPLwRXMGdeJDWfeBJXuQLq4E3zsr/cMDmrJB94sMAKXz0h9QABoKi3mkfvSIUGvk/Iysiw8H1vrim10dNTO9P4uOpwWA1hx44tvT39A31Djbl0drLRNzgEaROZTpUSUnDBZ9ttpTJttBTCWELyMOobxRlTRgvggguE/KkZMMa5zjQA8LzYHeZxNAa0XHS+L5VFHRYMxAGAsqSFIBe7AQto8y2CMchxznNzvb29tVpNck9R3BZACIloNQWm0OSXRV4kG4np6WkpuZS+tQaA+z5P4gwlAwaMA2OCcSx0Q6T3BQ6cC7e5knhy+wBBA/LACKesWUXsTiaFqx9nLXnx83z8Am1K/+aijjFOICxjMUmTpz/9mWecedpHP/qRK394RU9P9wMPbH7qU56VIzhYpyazRcuXSnR6DNIdgXFjFFlESinOpWAStRWct9pzSqUAlsr1q8xyAbQu3O87NjgDC0jlkiGfbABgmCskDKj3Hss1gdwuyZVJ6xieCZsvB8j1Bk7hG0SA3FETBBHke4gACLNUC8HjxERhrd1ue5w9uG13lkAcQ6ORaj1TrVY8CcKCtKnhMggCbea8wG+3m0EoX/6KF55++qlCCItYq9WsQQDh+2FXVz1TCowSgtOCVEoBoJRSK621Zpz8ZW48rDGW2tmzouIz2USQAyiAMS64ZwwarcJKIATLMiV8T2vNQAZhpDIlJU+S5Je//MXXvvb1JJ2TXsi5x6VUmeVcGM0EWMalAOlWFI2Wtcr381xEz4uk9AAgCH1jNQAwUZRg5wwwrwVUQKTm1T9kLK/yUPB5HnWyliulkyTR2nIuyVNui/qPWHSns9Ya02nDJqUvpSCZ7Xmetai0Yhy1gT179j/3uRd8+IMf+eNL39o/0HvN1T+emZ648MKLPa9mUTEQCJBmsSd9eFzYnTOJgEJ4VOOzWALo+562enR0dOzQWJK0rS2ibowtuHHJEi08LWQKQWf43KzYcn5T4fmGguvpC1tW/hAA0CJyYARCYoWLl0AHBTqcnBd5HQHSc2ZmpimjwhhKrZBCgFImikIyQjjn7Xb7wgue9653vfehhx76wQ+u8H1voH+w1W5JKak4h+97pPjmPaco3yW/O7c2B07lrrz8YQFR0HtzxoEh5DqORcbRIGcCAaw1nsctGmvR9wNjkIHIsiwIQwbo+fyVr/z9pz/9GW98w5ustn7FMxp9X8ZxUqvVsiwpG/o0DwDcFSUGAIpVAYC1HXg2d1kHnHwmC+eI5Xn06MxrUkJ03hud+u+Rc71TErnwa2ERVKF2c/l0e54gIRVFoVIK0QS+bMWtdjulUIwfyHe/+10PbLnvpJNO+tSnP33TTTf/0R+98bjjTqAaFoL7gi/N2I9euiNjwLhwCzH3zyilsjQVgvf29nR1dVGdE8YkMDIcO4GJXF9HLHJhGDILDMmkWuKG83EEAAhF1Kc0EfOItgPpUQgwxxuX4xc0r+X0n1arNTs7S+fooj0GmR9ZlmVZEuTWGw70D/X29H/iu5/+2Mc+aSz293VLKbRWs7MNbcDzgHPwvZAxRuhlQNTGEISGnIz52uW5CAdgiKLwzQAdxFwhR8EFYwIApGTaKG0yQEgSEByGhoYbs41MZZnW3V3hP3z871/+8pdPTc+uWb1WG2i3W4OD/WmaaZ2WJQiJCPo/cWoxJsoUJZBK/RacCZXTYtyHlJKq3uYZ5Zy7ggtFiIWXFNJ8wXDOrO14losUAvQ8GUVRo9EAAFF0shAikFLwyAdGCHgxOnrwpz/96R/+4Zv/7m9XvuENb/rqf3z1Lz/6N4iZMRgEgVOGFtCjZvfCVwDk9GCMK5202k3GwQ/8arXa09MTVSoAaIzlAi0aQMNYnvPSsWwQjc1DFk7fKkCQzhYq+xwZY6TD5BJmwTTM+xMREQrgKFBhZZIx9NmU2hiReU0nkEjOV1EpYhVFFQBUmU7TbN/+A2mqTz/9zOOOO67ZaK5dt6bdak5Nj288ZvWGY9Y8tHP76Girp2coCoM0VQTmYYxK+lvyhzCGnd0qZ+3c5ADIoWCImrL+AEApTYw0MXkIwJ544nEM2G233YloNx5zLACOT4yu27DmzDNP27lzx8TE3NBgxkXIubAWENFYxUAWbA0AFJ7LLcVyx1YaQtr9FjA65so+AxAuA5fl/RSoY3Me93WlEChYVujTLFf/c++Wq/0NWOS+CSE4RyqYyksNyunugjFtoTHXAoAgiuI4u/nmW26/7eZ6Nfi9l798anoWABjjvi+O4Gp8DMpMPgTGIGMWGJuemkySuK+/NwyjVqt16NDY6MGDg0PD0vOl9Bhqg8xJFBcLsMXo0zx3tlrS0QsvREnAUJ4IugRHNxnz/PSkFRWKEJS6S7sjZFcQrJIVlayhCFAVQh1d5rVSSgjPWk3wponx8WazsWHDhmq10phrJHE7Ttur16580YsueNrTz5+ZGf/3L/9g6wP7tLZkk2itGRPGoLWMc3RcBS4jARkwBuBS3/KWLMQ0UkpahEmatVrNZz376e99z7uGB/uvvOon/+/r32w04iSJsyw59tgN69ev/9rXvkaviWDDIMoy5XmekGhNroqQMuDkjihgDpD7APLRFmKhKCntD3kk1eZpOlRyx3dynVyHbqOg0DtBzXK5ZtGFh7CIy7ptlgKu1NqJqgtyzrU21jIGIooqAKCUfeaznv3G3W/59rf+36v+4FXPfvZzHnxw2+TEaF//YJqmjEnfFzBfGj4Mu9v5RQHmfWWo5DYyxq1W7VaLumdx5vf09ERRVK3W6l1dSZLFcex7XEryA7Ayc0LuRC4tpLzJ8Lx7OWZnVES/OOhOQERWrJmCiTpeI1EqWyW4INlD1QpoF8YS6VIvb1MUlTdGB34XlaWt1SJjzK7du6anpzdtesJxxx1z8OC+sUOjlUpw8qYnPOtZzzz7rCcDsDvveOjBbQe1yWgtKaWouYUQvPCxIgAvYmEMwQJiKRMHqYgveTayTAEg52iyzFh1wgnHn3H6UwDgVa/uvfrqa2Zn55KkXakGq1YOh1Fw3XXXrVjRV612JYmx1qZpKiVL09T3qozRfTu8y1xqAcursllrEEWRctpxKrgJIv2EXGA8rwZDy4Zyc6FARij3Q94pPmMLzJ+lUmS0dzFG+wljzOHJeBQFWZYVxTRlmmZaI+c8STIAAOT9/UPvfs8HDh7YPXbw4Oq1GwcGe+++69dnn/eUIPCMgdm5dk939dGxu+MGh2Kjr4yxlFABaAEwDMNtD25lDAcHV4RhxBhvJ20qde35vicFoi4xKCsicLxQajomVKHaMSBoRr79GVaaJFgkzrEUk4NCnDswRi7pi7t4vscYc4VcMM8DzGs0k1bjKvtUq9WZmem5uUZvbzdZctVq1G42b7vtluOOP2ZkZIUxpru7DoD3P7DlnnvuNzq46+4brrzyqpmZmWqtyhjlrXHqPeOaSdETFc+PiHk7AyiwKCxP17daW0RTqURxHEspa9Xqbbfd+uOffLu/f+inP73mhhtu7OsdYIwKC4skzu68866+3v7GXDOMaoRb4JyFYWiNpUBEubsdFEKNLLxiVPMdSRTmPBawLZcvW6wNV8BZGGMBMlfOCYuwqJsdRySACCNJ64XKkxSncWMsY9RdVDHG0jQrVCDGuWg221Akl1ijRlauHh898PWvfL5ar+zZs/tJT3mKMRnnflfXErz+MOxOVdrcCzs4ABfcGC2l1CoW0gsjv9GYQ2QzM9tPPvmU44494dZb72i32/V6PU0yrbWQzDmVsSO9qWzaPA6GPGpZQANcQHBR7K3M5Yej/BLFKTm2jPxvhZ5TmrbOapmfNs6FxzOljFFS8t7e3n179/3gih+85KUvXjEyxDlHZNVKdXJ89nOf/aIxanJyKggqUaXKGJCYtJbqEcwrvMPzFitY+CX5PG0OARGUsog2DCvUxKBarUspN99732V/9kGr7djBid7efkKGHxobf+KZ5/z0p7+YGJ/tqg9WKmGapVT8npiWqiG50erIlcL6Jy0fAGgTIPAPK4VWSvrhvHQcUr4J0Ynzq624KRO55Zvn9RJiDIArpbTOXOEJa40Q9IEum0dg8oo0FJKBvH4o5xwZBxAbjzvmiiu+uX37ljXr1gAYBGM0en60pLF6WHYvCthaYnS5oJ0fAgXqAey9m+99wglPmG00K5Xq+nXHCU8CY74fKKWQg+SirLO4gYPCG1coNhSGLNQVAIYGgEMu55a2St2cwSIZT0R6cfkgIppFvgX31eLtm4Sc1hnnLG7Hta5qJYruuuuuH/7wh+eee+455551xx13VSpV3wvjdgYoertHuERklkFuh2ERNp5/LwsdZyTLKx0UD0W7EZkWaZoBMCmDNNGMia6uvjS2KjW9fYOVShjHyfYHH7z0j99yzjnnveIVr+jq6vW9kDFurOIcfN8jrdOtosVjuGBgy2q6I7edFtD2zpl0utZa6yICWLpCGUpQeDmNtcxaZa3zRSIAkCZZqHCdjpm5+gfAGFpASl3HXGWVSdK47aYb1qwaqUSiUokQE60xy7TvR4vfDo5Qfin3S1tL+/vevXuvvPLKz37ucz/+z6t279rZbM0BgJQ8yxKVKa2t4Ly3rw8ApqdnrLXWGkbuLbRHksCFeCv+o9nO3S/lWAbMny4yeDmzbKlGsm4ZLNDy3YfyCe40Wyp5504gqQNg8z4q7bSvb4CB+OQnPxmG4f/3/126adOJe/ftnpmdqlQrtVqFTDc0NstUllHpCF7YguVnZACcNLqlxgQZA2oTgohCSN/3tbZKGc4FF7JarSHavXv3b39w26V//MbL/uwDn/zkJ3fv3jc8tNIajOMY0Yah5/vk7M/7eRDlty9p8IwgMZyXD0KJ46GzPPIgESyUFOCGqxRS5ZwzQWVQGAMArQ11G2+32+12i7w3WEAJHNzDNXICAMY4AubuCWvJKsgHCSCJ06985T8+//l/O/PMM179qlcz5jEQXfVuPAw08kieGapoNTk5+bnPfe7HP/7x3r17Z2ZnJYc3v+kNL3/5y4dHBtvteGp6MoqiWq22avVaCtCgZVqZLNPS9/P0SiFgfoyjWK8d2C6Np8XCjJ0vuaG0LeSzkusAuVZfNqwd17LCfF0g+BfrRawAbTsXgYOv0Wbue2GaKj+gHqsYhuH+ffve8Y63feCy9/3TZz55+eXf+PKXvnzf5l9HldrQwLAvfUQeeJJxQGQlMUZPyJ2zGQCoZkFekaaA3JGpyhiQ+wiAGWODIEA0WZY0m83x8YlK5J18yknveOcnTzn51L/6q7/4j6/8vzWrN0rptVotY5UfSIraIJK/JQ/lFrbywu2R5b7CefZPedtkeUFWU8B1O31TigtyN5IFFhIRLaLRGlyGXul2vJD3uWIpOn3FgCJWpFlkSjEAy8AaW3RaBrqnx72BgaE7br8l8ILbf3XHplPZipXHGsO0wcB/GGVmnm++SEbEiYnxyy//f1u3bj377HM2btx44w3XK602bNiQZsmBA/u+//0fTE9Pv/997x9ZuU6bzFobxzHjol6rJ2lsGcogcOw1X5PJx/+wq62Yj7IUYYVNxxgrew8W/GTBkfJ9F5y2QHspE6kfSLi3wJ+dmwvCwBOi1WxWq+HQ8Ipt27a//U/f/tKXvPi1r33tC15w8c9++vMrr/rPbVu3N0cTAPCDsFqtVioVzws8T/p+WPj+ndS0TqUBAGDIgVDzjKEAwgVbprRSmYmpiXi7yTnfsGHdi1508ZOedPYJJx6zefPmV7zi5bt37zv55JOnJhvGGIs28H3P94xVaBCYQMukJ8qiGoDQo4RsdUK9g6k2nWZv6BjD5h04OFmWztZHJF2fFT4WQXVyENFao7XSWimlCAFWOPWFQ90UhWaB7AfiY1oXiGAMGm0YY4DMWjTa1ZoEzkFrXa12n3DiE6anGx//5Cde8Xuveeul7zUaPe+w2UzacUWZ3YuOMWbjxg3PeMbTp6YmjM248AaH+n95w/WvH/3Dk04+/Zqrr/x/X/3a4ODggX17jz/+JCH9JEs5g0oYoM04GMGBIVJQEPN6x1SYoFP/ulANkQEI4AhocV7lWGf9FJBJMIUVX8BRGcGDtDUAkIe7ybBBKN/FFi0m6MpOb3FJxyRgqL4PVWEHYIyZJG3UaqHKYgAuPC/JDACOjGycnZ36/Oe/dsUV1zz7Oc+44ILn/J+/+UijObtz+66tD2zZfN/WXbv2Tk4eSOJMK+P5fhAEUvphEIVh6AeBJyXnAAwsFhNtrDEqjpOkHWultFJaZZ7Ho6g6PDCwbsOJJz3hpJOf8ITBkRVTjcbtt/3qc//yr9u3PyiEXLXq2HacCU8ok3m+h4BaW8E8EBbRIkdjSPSWrNXcV8Vp/yl2lY6C54adbGxyaxazxqBIS+AlIh2mgEsgeVdIH3PFqanIKYAF0AS7sBbLGX2FS9AmCQohtM6EYIhMW+SCpVkbADjTQnBjOPfDas/QXfft/P6Pf37W+c+8/sabLvkTzmUy3xaax+5L8DqQt1EKAPS84HnPe951113XnGtxLlaOrL7rznuuvPJHx2zcODE+/cd/fMnFF1189nnnA5dgUCudJOR4NYjAi3oMZZnrWLkcjnZfLalwl8WSKAW483NKQross8u7NpQ0FidfbalJr1sSLuRURFKA3BX0cORKotOzTNeqPZVqvd2a+/rXv/nNb37rxBNO2HTySeeec87zX/CiV726G9EeODC6a9fu0YNjrVY7juPZ2bkDBw4eOLB/et+0UtRFkWGR3i4F8/2wVq329vTUarXh4aHjjz9uxYrhlSMru7u6OGMHDh646bbbNt973/ZduxuNOSFkf1+/lH4cxwA8DKNiKgtDCFnh+VyYBQ/z97cFVPZWUeEP91sX5qQpoLxGdx0HFqK2yi5tqrw/U4idcxpwU1Qg69TpLj+b2z18X7TihBKCERGAESNIKXp6eu684853vvtttVp9/4GdK0fW6KK/7wKSS1mrFIZkzu39tKc9bf369ffdd18YRd1dXZ7nXfHDK9/wpjde/PwXDPT3D65Yp9IWYyi9IFUqSTKjSf5KKSVl7gEwZ4a78XIvtlBXmc+jpXHPtQuSJY7p3YAuuOZiBSYf7iLwUX4MIjJX3BWcO4UQizQ4SIVRLTLGM5Uh2nq9v7u7v9mc27Zt19ZtO7/z7R/4nly5cuWmTZuOO+644eEVT3v6Uzdu3Dg0NMyZTLP29PTU/v0H9u3dNzo2NjMzwxmr1upRFPb09HR3d4dhQPfMsnR8fHxyaupnP79++7YdO3bsmJqaEp6oRBU/jAYHhxkwray1plKpao1ZpqhJPCIwxqndm9OVFiz+BbrcgnEou2KtdSGwhb9yg2+Khq/FLZA8sKTEuzy9QuJQuhY3xiqFBR4uFzq0RSxgBkRAa7M0o6aOAGCMltLnHHp6uteuXXv9z6+LosrZZ5/9ve/94E8ufQeB/xZTWXdnpX9dSExonfX09B133HEPPHC/1qodt9avX3fv5vt2PLhzxfDwddf97OlPf8aKVWut1giolVEqcyoo55LlZW8tJeRiEbMoi3Y3E8VNO52YnM3kBLbTGt24oM3r0ixm3/Kfjr/dQinfl+Wugw5ojDGm84b3orSJMwoAWUbgrcBaTbZxGNaCoIIInmTtuPnQzj1bHtjOGEgparVqb19vT29vT3f30NDQyMhIX19fpVIZHOxfMbLC9yRqOzMzs3/PnnumJg9NTI4fOjQ3Nzc715yYnFCZsoBRWKlUK4MrRvLBYZwLyYFxToMmPC/PhyhetkihAFgYvj4iLTlijuvK+yoWnvgiqaA8ZSTCgYaU9BnqqFOEmQQAGKOszcsml2+KlNKR+3kE5x4AWLRCyCJQw3le/lIMDg52d3fHcXL7bbe/8Y1vvu7an8NCJ1iHym0plz5FKSMlbNy4ccWKlXNzs5VqWO+qK5X95JqfvO61f+h5gkvBGBhrBJPWamt1jkACNCYDENbmNWmdXMdSXnaZSptXpzmM+yyK/pJOeOcAQ0ZpcJ1QSDlEMn/aigGdbwQ77i//lnXQwmRUdVyltJMiGuExgYQHRCE8RJumqTUQBbXKyroxBsBKTyiVjR+aHD80IaVM0kQrhcCkENSRxhOSM0ySVGuNwIBxKaT0fCFFT09/FFWMtYRMDsKKNkYpFXrSGItMSE8y4Jp69nImuCyUNHS1KBhjLnbhOJUdRjrQcRpqJ26Lky3VjXF6C5QkBStRMb9W6wyRUYdXx+um6MRIsHiHMnA4HLejci6FMLRRKMw8Tzpe5VwiYqPRlFJSSvRNN936spf93pOf/GRYyjft2P1IZfaMMSQzBgcHRkaG52Zn0zS11ihlP/WpT594wvGrV62mlUrVQgEMDbG12tq85CPivPYpjuPL/FdmdzfQjt3dV+4KtkDwMs78IGAFaKm8G/BSQYjyvC650txXrHSvgvs7Dzn/h8hAcCEYoy4bhjHwfQ+AaWPQkvHD4yRDwKGhES64NgptJ4QJwIy1aA0HDKMu3unmx4T0AEAplcQZMOH7EWfcaCu58ELPaMVAIDKtLOed5rVFpIIEJJURnbeJlcf5CPPu+JIV+C1ELFgx/2GBmeFCCNpvy+yORZm0KAprtXq1WiPIDeVPOo2UuMvO64purOWIDEBRrqpSqmiFoqm+O71HlmUTE4cqlUq73VJKj49PHjp06PkXv1DrDBGWTGA9kt+9AA6gMWrFipEsU0Hot+N2Eref8aynveDi5wOI1WvW9Q8MWWsYz4vjSSmoPmPRQw+dCxvm20ALjjhyk4GL6jHQTDivDgCgxTRLZV6QrcPrrNCLCmnH3EWwKENnraX0OQBgnHDbJknTXBMlaI21WltWNNyiASmeHKnUY7EeGBQWIRecyxzk7bPAWqO0BsPyNQKM5TXSuOdxa4yxmlHxCkvOpDy2L4SgDJUcXVFodwBMStERYSzPn+NFKwPMi3vlGa7U6aQc4Yf5C9iNj/uKFfiWsplUnAmcEziMEWpaSg/RkCpIPhwhRG9vb71eB6CYq0qSNI5jUfSrKu8DpYEljwpHtFmWUlyZJtZam2WWmk8R8mdmZmZiYqJare3Zs6dWq5555pkXXfgiRM15p04jlBb5w7A7iW2ttZT+qtWr6vVaV0/917+4d926tc977oUrV66empoKw4gxabUCxoBzra3WVkpPSt+hEUnkOD+gG9AF6ntZ3pfnwxEtP1M0u+OCDARmrLXMujgRL6FJYdFyYoyhIEWf5TnPwIhVDVqqeoAMLANjjUGb518AjSBdbcFzdt6pcHARpg0AgAETglHqKiJaC0U2Su4JsFTKnEvGgBE8GJwkpvUDkKemAgfGLEcGQjJE04k8FHUNII9hk7adO5UAOj7yBVPstgXHFuUtlDmNcb6iAjnYibHcDW8YB8G5ThRV/Ovu7q5Wq9R/anp6mqY+y5S1xvcDxjhFddz2S1emxj7kU+ZFmUgqw0ht+ogbk4RSbZAqJKdpPDExybl80pOexBjr9GZ/VJgZmleqE4KoVqwYWrNu9QNb7j/5lJO3bd3+f/76b6zBpz7lKS94wUsAgDFBF4/jtN1OhJCMc0RmDXABnLOiim2HO9ywCtGJgJTF8AJVBwtfFZGT8YwXKd7F1Ryjlw18LHlvGCFYYaFLxxjjimSA06kYgOW2s4k71yq4EpZASycnYaxBNEj4fjbPLiKJiHnsJq8DyBggY1Rnz/EUbRpClLyKZIAyYFBAnudxKhaXxcIXST9hDMBiRz8sv3KZ3ReMeXkTQEQacJGnloMzaRBBSkziNuPgB4GUXhRGYRhppffu3UvMWijrQE3XigFxyZ+dR4O8clG+jdNeQf2SsywFAKXU9PT0yMiItZrygGdmpqenpzdu3HjRhc9XKvW8HOtF0Z5Hyu6cc6VSxqTneVpnURQes/HYNP1hVK329HZL4TXmGv39A77vkUyk0YnjOI7jvJWUscYgM4bxDmbDZdC5eSrHq91oum8XrA0aeldqi2onSt8zmKuD7vyyg8V9cP+W/ywfWSwCGZWqIrFbSE3GyDdfiol2AhfIWV4pKb9aJyPR+exzRspNybysBsci0QM6T1VUDkRG1Rbyn5VMugJTiY5Hy7ckIF75HcuvfDhyIA+3gdBMESbcpW4AAJWz45yHUVipVI3Rs3Nzk5NTC/YK0nKL1YVUN7Ok2eaDw4qql2wekbsCESFJkqmpmZGREVejaMuWLWmaPve5z92w4ZhMpWSLYgGkXUCHY/d5PlSL1vOCU089+ZnPfMYPrrgyy9IM1NzcnJCSZJzNDAjGOY/jZhw3eV7JXwOg1ppxpBjbAhsRC2Pc6eKspKM7xi1zfPlfQKBC26QIul3C/YqVArGOymCY+ROMvEiynBdaR6AUpILXwbnkCKe6YBUV2Q883wRKDIzopqFjPgIgAOcoIIcE5yQE4a4p0MsAgIFAsACicAnMe/gFb4ScsbyoIQNAyvZfvJIXzHpZ8JPSUngVXeWSnNGxVPMaETzfZwza7Rap6RZBgMirPpU6TJFhSrFXiqTSUxN7uJGkdEfGGJV01lobQ+Y4ttvxxMQEPYlSCtHu2bOnp6fnda97HWmG4DHMfT6wmORhtBwEACmlNkpw7kmfMbZu3boLLrig0Wxu3brtwQd3nHDC8a973WsHBgdUlgJn1moAL45bcZw4NAjjiMbFl5a4vwMJOUMToNBeS9IUS76FojgboEUDBgCsVhS7LsOMHLu7nzv/Fw1lGZsApZXmEs+EEDSjVGsRrdNDADrq9TxGL9kJxDK58s1YnnntXD4lcYvWWmtQ8BwTYS0iA5EDHDplKIEBA4GMsYKXCxE7TxwWD1BK9HZ5XoUUOMIW537u5suNoXOv0XVsngkppPQQVBzH1FTC8zwhudW5JKJm4kIIckQS3wshrdUOuIYlPbY8Ox2VNRdnoFRGWdsAQGicvXv3ViqVk08+ldpKQ44iPqwjcskvOADEcRyEgTEk6rjgoS8rJ286fefOPWFY/V+ve91Z55zLGBOeZxFVqgKArdt3MMH90GeC6yzlQgRRkCfYWmathZK63HE4AmOcISMRC15u2FksYuAFdtwQG+U5GpDrGAIFGGuMMsA101poz/OElEIyrbXnCS4YlWjlQmRJarCjgzqerkYVnSlfekZl1mjBwCglOL27QNIlAIAXnpNiB0S32zAGBTrIqQK0yhkSvJEzxin84JiJAeeCgwCHHIMci0saep4FUlS8yJ0/snh+BHRQRCgpOY4diz8Ny9NN0K3V0kKlx+zo8Zx3qr64mSqeGQE6fiprjbXGWk01likJwyoNiIxxKcD3ZCWKjLXaWM5ZGFaoyBxAp4E9AEjJCy63rtJYllkAZi1obRhjYRgYY7Zv34p40czMTBwn4+MTW7duf+ELX+zWBnRstqXZ/UjEoJOE293d3dvXp7Xev//A6IGDc41GMeIMED3pGWO2P/hglmU9PT2I6AcBF4IBeJ7Uhuo5Wzdw5MlydUsKtFae4lRkV5etMSj2cSyK8qAxtnBh8Jy7ALMsi5OEcSYE8zxvbq7d3d0zMXGor79/fHy8Vq8plStRQRDU63UpJZW5KvZTVmwsCAy4YFg8ZM67nZp+rGQTgtuVnOYLJb8QAWJdrK30XqUCO7xjQ9NugYsEMJtftIflyhBHRJ4DB+Z5V4jcVlZoU/P0lsW0UDWaHxhxRzqgSEvbEALPVb9CGwmElIZamiAy5tHaI+njqgA5iB79yhT9RqX0hJCI0G632+22lLLVaqVpyhg7ePAg5/zAgdH9+/e/5CUvcY9EmoKLwCygw7K7MSYIAqWVJ3MMUBRFJ5544tXXXjMyMkJd0vfs2bNx48YoCEEIKcTE1GSz0ajX67VajTrjWWsYE7QSjEflnK2rFk3uyfLcYAEJByC1mGYdkHwL5BGjtYHMInJmyM/COeNMAOSOQ4uWkmDTNK3VuubmmvVajyfDVSvXVmvV444//uDBgzt27JiZmcmyrFKpcM4Zd+4Ix+7AkHMQrnbZYh2AOG5JvnFHHH+UtbLFJ5ehEwvOLN+uLMXpO15EGKCUB+2UtEKr76jjix+vJLY7uoR7tvJjFBcr7xsIeUVLW1wEgYpHMmGMZZkSkfR9z1pjrUozba0RXHIu0jSlIh2LHhigyCOhXcrzJOfVVqvl+/7c3Nzk5CRlh+7fv8/zvKc97WnOBUKopyUHGUrK6EIiZ9/HP/7xG2+8MYoiLEyTuWYDGKOyWNS6OooicoUi4u7du0ldo4rGJK1pR3bD60oBAoA1lqy5UoUwxkBQgjADADDFXGDuLM/lHOl8FtFasC5jiFpw0dIxxnZ1de3fv79SqWzYsHHnzoeq1WqWZdV6xVrbaDRarZZbbKEfkF8/CAJjqM+bBADPk3kRmNL0l6s/HY7RF0l3vvjkMgeXpSZjjLPcB7zk7Lifz1t4JcXDfUXsWb5FmcpLonzBw9yLmj3l6LFSXAURGBVD41R1uPC5uQiV9KTvS3IsGmtUZnSmtKEsXk7hFEpuKmEW8lAXmQ9ZljYajTAMBwcH3/72t2/atKnZbL7vfe/jnF9zzTUurR4LFPeS9DDKzE9/+tMf/ehHGzZsCIIgyzIhRBhF0pPk4UfMXf2MMYovRFHkeV673Z7nByhMTzeSiOSKytOXLIDI92i01iKYIturM2EU7XFIXJJTxPUWsexxgWLFCMF3735o06ZNf/Inb7vrrru2bt12aHx85cjI3Nwco35d1CypgFmXHpEXGy4vS8SOnENAtpB7yjv+4p2UU1vUUpnLeb9iAFigUHi+xZDadLhbLD6+4Nvy45W3i8XbzgLVpbx4yrdwstxxMRbxf8xhjSAYWtsZrqI8KmcA1iCi8X2vu97DQcTtOMuyOM4ITwXzoYGsVCaargAAVA0lSZK5ubmurq6777573759b3zjGx2L0weS1LAUPQy712q1VatWDQ0NOfBtqjKttUVLtnYQBLR9GGO44EmcZFlG8p7ctMboTg2l0vBREUnHZEUNGRLqzL11Z6x5HmcG2kxzjREAgCKVrOR2pIKoc43ZkzY94dvf/vYPfvC9L33pS7Vqpae7O03iIAjSNCEtkLraQ+Epc5xImwSNOT05n199BKh0dWdTmrcYwPGfe2VS6Akunx+gjB1wNYaoaC2dYYta4WUOmDcgJY4vs2yZEcus456wBLBZrM/M4/UFywDyBmO51oRFzSlSXEFwhoA5QpOTcLcWqW8H5exqrTzfy5Tu6+0bGBgwxhpjE0rUimPSCGyB7yg2EOoYboQQ1Wo1juMoihhjzWZz8+bNU1NTz3rWs1inIlreXvxRszu9Z7PZTNN0bGysUqlUKhXP84y1QoooiigPLQiCIAizLOWcCy6q1SqJpzCMAPLUT8jVO3ROsQXKKP2vNPp2SX+Rc8/n01A4a7n0bY7PzvHdDGw7aSVJ/MY3/tHkxKHXve4NYSDHGXhesGHDBsQ8fQZK1cUk96xF5+2S0iu2IOEy2WA+DDBXoIv9GgtXCSKiKTynTle2nUTFQoUoOq11XrA4Y9HbLxDniwXwAj2kUAM6d3RKDpQszrIEdRdcsFe4C2JeWU071zJVleGcR5UwU5nR2g88zoSUPuVfh2EURVGr3W4240olMtpmKtEGm42WFNz3wyAIybmOhWsljyF2Fq1BZFJypZRSqre3N47jycnJLMvuueeewcHB008/nTQZ93bkjlySDsvuTvV0yDXP84QQPd29CKCUEtxzCpwvAyGoc+c8/wPPy53Z8vZHxPKoO3dNK4qxpjLkAJinFTvDSEoPEAuBCgB5zogxhhV4AboJ54xLPjM9s/WBrS998UvPPuu0e+99YPXqkT/6o9efd955b3zLW5XSNq/xQLWOBO+gTzmJdms7Pu8llYd8oFwM07lzSjlyC2Rw+QiZLAu46nBk54Na2ZL9TI5Eh8XEHm4hlRdGCZPnTC/j1Eff8xuNub6+3ixLx8bG0ySbnZtjCL293UmSItpjjj2uVq3Mzs7V6zWtbdxKo8i3xmSZbrfjjtSbH2TMZRkX1iI1+ZJSUnrHzMzMgw8+eMcdd/zJn/yJ8ykvePIl6UjKDC1fx9PUGpMLTvemjrgUlBFSlJ61swkW3iVeIHnz+l6lLCEH7oUiv51J4VHEFICMUUFmau61zD2E9GacMxCByJV4SzE/BIAwiEZGVnzhC184/fTTr7/++rvvvmtwcOjYY475g1e9yvM8gqGKokstdcNx8RRqQUE6Jc6Py8BSApW0F8aodRFzQJkFQ7/gIgxYGcqy5BQwck6V1Lv8+GGSEw63eIq7gDOHDndTJ3c6zznfoWmtpapjxJFCCGBQrUYTE4eU0uvXr3/a055+4gnHDQwMDAwMNBqNb3/r29/77hWVanVwaKDdjn3fr1SiNI2l5C6BgXwejLEsy5xOQh9oLhhDY5jneUqp7u7uffv27dixIwiCSy+99Aia+mI6knSP47jdbru4Mb1bmmV5ZjgAFJgtEo1uXc4fehq+TmzF/dtRAPJ/bXHBXEiyXIoTZhHypjSUXd3Zl0FwZpFQVbZYXYIxVq/3WMv+9J3vPOfsc9auW7Nr166dOx/avWvXscef2G63sYBPcs45k4T+hcLQZIwDoSAhL4jh1PSySjBvyMrRpc6xDmMtuWaOTIyxBaydX+QR/bpMbjdYOqutuDgWLteOH2mxBu92aSezrNWTE5Nve/uf/Mmlfyylt+WBLbfedstXv/qr889/ymf++ZMXXXzRn779bfv37V23bn2cJIjgeQLzBPxc7YaSRHdl98gSrlarnidnZ6eTJGGMhWG4b9++3bt3v+ENb+jq6soF1iOjI0l36qdXVvIQkZWAwVik/wCAKyjJOkLPlX8BgE7JrFz2dVZDp+wOYxzRaKOKrHXmTgdkgstFTgggjwYyZi31jMFCNUcheF//gJDynnvvu/an19Xrdc/z+geHGGPO5+V0VgeVgZJrBREROAEieJFB3NFGFrGs44PykfKZboWzwnxcjOo5ArmhfOQ/cY9aPDZ3HbcXcUnHZHJ2efl1GFtC9SKP7ebN25/97Ke8+U1vuuKKH7z3vR82xlzwvKemcfbBP/uL737nB9/85le//4MrXve6/7X9we0rR4atUX4QZZkxxrqt0PO8MAyttbOzsy6qQEBaKbnv+77vqaIZre/7T33qUy+99NJ8e3nEtDS7YwEyMcZQP6CCD8AoQyYV6TnknJ6dnW21WuXAWDEWCMwW8RDA+SUAHIgZSvUbLBqjs/mCEACRA+cib3Exf3tFi8AZ8/2wu7sn8MMi60IDw1TpsFKp1mpBGHqe347bFEz1PM/zPWqfpo32BPekLGtubqatMYCWu9TLYuKdLotYZiYovT19wkKpL49u/vXCQ4vIWotsqQW2VN8HWIKDO9dxqlpZKpVZuXz9BRu125201lS81wWV8gg3mJe97CVJkn7xi1/SKt6wfuQjH/ngKaee/38/9/d/+Vf/cP75z7z88q/fdNNNb3rT//7hlf85PLQCGWMgjDFcMIZ5PmsURsTxaZpS6zgCqLXbSbsdUwMVrXWz2fQ870UvelFPTw8ZqUu+8pJ0JM8M50JrK4QnpWctSukhcukxlSlL+V3IAi88NDE2ODh4yVvfOjDQ12q1C8uSAzB6n1xUQFFcJmd/AJjnV85H3IVKXPdGxljuAuuoxOVHJRcVInzhC1946KGH6vW6sRnlegrOrbVpnAZeZIyyynieJ5gMvDDmCVj0fM+XHgAUOOxc7nbClojIuAXA3PNIUh+Kf3O2cSyRa18d4u6Bsei9fDimnLdnuasvWXqKLbE8mPPrAyxYPmRYuXyr4uSOJx7zsEb+aLbUHqXknLWe51EMX0pPa4vIpRB79x085cSNZ5+26efXXh03G6efeuLszNRtt9584hNOf+4Fz929Z/unP/3VC553wWc/+6kvfOHr//r5T/393/9t2kpXDK5TNhECgGO7PYsQGpN4vt/T3RsEQasVt9uxtdoYnaYtauUHAMaYarXabrf37NmDiIcrsHE4OpLu3my22u2YMS4l9Y60hDESQvi+b62N41RrLYU85piNr3zlK/r7+x75jR93StP0mmuuPnBgv+eJLENEC8idt9EYQ4EwY0wcx8YYwsq7nzs8I5YIOouwc17BIvPMjyIitCCys+AIQFEntbjYwijSAim74Hj5CCxaNov1vMVfLvh7qZMWyBRW6KHumcGpEIwxRk0KEDzpjYyM7NkzNtCXXfZnb/+DV73W8/yNG0/r7x8BsFMz7T949Zte86ofvOUtb3nnO972lS9fPj1zqKu7prJEeKJarcVJ3G4nXd3dE5Pjvhcigu9zrYXWGWMghAQQjOWKdLvdPnDggFMuHjkdSbq3Wi2lMsxLxgjsGMvcEsq8sGl8z6PiChSJPKz0gnllvQ536/Le/Uh2fFrizWaT+JgxakIrzcLKb7ljwZn/vIBiFzt7uS5kR2e1pXqIpX2880hljdwdpL3IqQMAWDQZXWiyw2FCP8xlQeduKigdcSfPG2z31IwtvNSSQ1d+hvnn5GAyN3SOCNflWI0zNjQ0tPXBbR/9m4999KMf/fznP/OBD7zv65dfWa3Vjj3++J/97Of//JnPj6xY9drXvGLt+mOVjmdmp590/nmMi6/9xzempsb7+gaVwdZss1arK1Cz03OeJwI/83zP8wOPc6U4IiIwtIbaiKdp2m63Dx061G63o2jpSr+HoyMtDmut7/vU0pvAyjTlJCkBIAyjwA9mAZ2e4hqS0CBbi0UhFACAhV6Gw1BZ+XUHDzdnWCQucc5J4aMpL1sRrERQcjiWGddaKwSVq+14S6EoMFTY3Kyj5Mx/hsWCdj7w0QLMi66X/3VPsnhtu78Lt+ziQSjL43kyuPznAhimo8UjXNyCzl/4prbITyh+SJlYdt36jVdd+ZNtWx+8/Btfu/qaa1/wwle+6rVvW792YM+eibe+5TXve/+frV69gctw375tX/zS54HpV/3+723adMJfffRvt29/aGBoZbUaJUnse0Hoh8ZqQEiTVBsd+KHne8YYi1YrTQ9J7pODBw9u3br1jDPOOBz4cUk6UsFrMrrJQHGMQjej6lAWbZK20zTt6uoubysFw1leBMWLg/P2+sNR+fyytbQkOSFdvoW1Rim94IfuT1Gq8QslkczymjUI0Mm9WqzhLLkDODHpDpa+tQsE5ILfLj6+4GoLbrTgh4uvUx7kw311uKsteJ0lTy5wBNRqCqXgQRCuP+bY3fsOPun8Z9xy6+1bttz5pje+eteeide+5qV/9mcfXrv+CVyGP732P5/znIs//Ocf/6fPfP6z//fzT9i06dOf/ccXvuiimenRZuNQLfJ8ybTOBBeIQmU2aas0VYDABJdF/yxKYA2CYHZ2dteuXUd+/cV0JOlOzXGcmDRFXwMhBJUeDwOPCY6InicdlwIAIfTJm8dK5miZleGIk1F+h8PJ9cU/oTwSymxC7JhiC2QYlV2HeYyeS24XRunAb/JezE5zKIMd8hM6uxcs+ACUV3EYMUlq8UJj/XBvfYRBW/ymZTEBh+eJBWz9sGISOwnBhKECa63g3AImqVq7ft3E+Pgfvf6S++9/4M8/dFm14p966ukr1xz385/+5Oprf3ryKSdffPHFXP7Iov3qV79zz133v+8D773sg5edffYZ3/zmt+66857enqG+3iFrOTIhhG8ZaI1KpTKQURChzdzQcc4bjcbU1NSRn3YxHYndCf3jUgxJ2Lv6l37gc06NREjKOvcncs4o0LN4mokeln0fCX8v/oljWUTUOg9+FdNT3hAAwBYFyIvKMIUeT2hpY7QxKghCYxRjzr3IykxYvCDByDqMRVuia0aywEYskSuBBAuSNqAQpUsuV/eyhzsfShy85B5SHrTyQVsUaVu8YZZOtgsWsDZGSK9SjWamZ3u6uz3P+9jHPnX//Ztf9fuvfOGLXnzlDy9/85suPTg2deYZp5z4hJOHh9bMNuY4BHffueWSt7ztA+9/1++94vfOPuuJN95485e++JUHd9zf27uiq7vPDzxggno9GauZZQ7xmruPtb7nnnuWfMEj0JHYPU1TQqKVX5s+kAqBYLRWBBwoZjRXJQt/Bv35qHn3sZEoumexAiC1eNkU7E7bDoHpnSDvhH6Kjp5oDMHrOCKwTnWjjlJdZiyWB0cMm2+8LiVi0TkNyzy3pDBezKBH0EDKnx9Wxi95GpsfTpq/wCxVayq9PAJAmiZe4Hf1diftJAqjVatW/vKXt9x5592NZnN4eHjVmmGlM+l599//gNLoeT6HcOOGTWOH9n7kw3+9Z9dDr33Nq1/58t97wfNffN1Pb/i3f/vX7TsfFMJbuXK1kCKSgdWotfU86dBjNMgHDhw43FAcjo60eSVJQpFet4W5tq5QzA3pUlKKxYz130xYhHhJlucInw6IsoO/L6qp53pX2dHmNgRbFOWj2lsdLafoQnEEoqCJy0lzRgIWAQXKV3+EL7VAvXZH3JXRgc5LBIu4f0m2cM+2+Lh7U3cNMkLcksi3Sqp9IoXgHKw1WqeZqURdfb2DcZK96S3v/vW9D3z1q199wQteOHpwlDEmGDdKVyuVOE4G+oe6631/9/f//KEP/dXPfnbDl7/0H6vXbLj6up/84yc/8eznPG3X7m279+yI45Y1xtU455wXPkA7Nzf3SMawTA/TrKbQg9F5M9y3rNTghbbv0rjkpzzap3kMRBNPD0mWhrVWa+X70q1VN9fF8y+wLwn5mK98Z6C7QLot1YSAkiKxWGQu1jpgobBEikmVz6fHW6yclM3r8l7hvl3AxEt6jY5MC17NXbzsKXJ6k6sVAPN3LQAQjGmtjMZqtYbIkqSNFlesWFmvtf/u7z6+b9+B177mtb4Xfvd73+/r65NSzM7FDDnnntI601Cv1wcHhv/i8r/8y7/+1EUXPeN1f/Taf/n8v9zxqzuuufq6H/3wx7NT0/39g2mWyULRoJvOzMwQ1B4fmXUHRwYRUFCdl0rBEBzZSRRW6mG04ALFh/9yjmcFvoVkqtuFfH9pebbgYDFMJLpynEwZrszm50Ys/ncxuy8e+uIKh912EZfguSV5a4G+seAZFuClFqjmix+M5m5Jjb+kw9DevvAFFwwCA06dz7Q2QkjLWKuVSk+uWb3m37/81fvv23rZZe8//sRjP/axv2s0GitXrBQQ7Nyxs6u78sH3XfrCF71g8+YtPb19Iyv0Lbf+6hc33Dg4PPDmN73hkre845Uv/72vfeXrX/va5f3DK7mUljEH5mu1WmNjY2vXrn3k+szD6O4EpSr7ZwgdMF+6zJNe5cH87xHwNOK2qKxZMCiz1jDIVfWlNh/389x3RHohrW2H0SvrBgvYxc4HlsAiXiwdASgyDUsXcD/khcHzSNl9wQmOaxevzAXPU36q8ucFjF6eXCHmxRAWKDPuuBBUslgDsMAPjDVKsUwpzsQxG4+7+eZb/+yDf/6Zf/rYl774ufe+772bN++PPO/Zz3nSy19xUW937d57b7vqqmv379vfN7ASmMc4n5w89Bd//g+Xve+v/ur/XPbhD3/wrrvu2PzArtWrVxpjfN9vNps0R9PT08Tuv5F0J8qyhHNmjKlWa5TnprXmnCKsVqmsUqkgWsYwDMPClifD1JVBxIf1shxO8DwMYef/FlEwhoCNZtMChlHUTmKlU2MN515eqAWxSBah0uAMgHEuMO/hxugRCArPOe/q6pqdnVVKVSoVO7/pCpsfGFrM7gv0ECjY/TBCiFGmV5l7HLctuOBiMbyAWRfcd8nfzrt3aUWV13YBTyJZxtzCX8DrpQEBck0KwRlwY6zWyhgMgyhNE69WO/bYY+6889fveNe7v3H51/7937/yoT//6xNPOO55z33m5s3333HnlrHRgzfccltXvUvIRKk2B29kuK+rHu7auXvswHiSppPT034QkCTKsoyA70II18zjEdKRdXdF+28Q+EWDPwTANE3I9a51pnXehrxQ70i7YEsObpkcly/WSstHHsEyyJ0DxlrKrtBWG2sZA4uWoUXknSu6aUTETmFoKERvbuxqrSuVSrVaJauozOKsVDZ+SV53bzGfEZnz4ZROY+7fBW9ZlrXlD+6yR4iSLlgARzgZlhrk4kblCVqiWkG+0XeqHQoA5JzK6RgEAMYFp/x3mJqe7uvt3rBh9a233POJT/7TO9/1znPOPe3mm2+7++57Rw+OJYmamZms1qtPedqTzz777LFDo5vvvf+B+7dt27rvjNNP+4u//Mh3v/fde+7dfsopp5CfUGtNhQJYUZHmkdOR2D2OE6V0FDGnpkspfd9rt9uciyCQQRAKoWZmZhqNpvM9H0bcHNa55sQDK/URWuyHXpoQ0KJGI7ngnNdqtZmZmTRJOWOe52sd4yJoeFmMUcWb4hE5IiZJQlzearWiKPJ9P47jct0SLDVhPBwt/rb8DIuG5rBa9ZLXPLKeuuS3R/jJkoMDObt3/KQLVjvMZ3oAAMjbnLiukYIzCwBMWGujMGy329LzR1YOfumLXz3jzDPPOuvcT//jv87NNdasGalEdYQuAHXGGU+89I//bGZ233e/+70d2z+DCBc//yK08Fcf/T+rVw9pbRgDN/g2rz326CBiR+KqVqvlcjjcDVqtNuma7XailE5Tlaaqt7eP2r4Vy33+UJRGrSwYnEUIhXhjuQhe2FtvCSKliQOXXOSOdMjSjAqBEGTN3QFKWniJ1/O+BmUHImMsSRKtNeXGV6tVRCQojnu7BRvRYyZn5S8WBEc+GUtq1QKCw4iVI5xfnp3Sme5IrppiEapzz0OVYYqUi5Q6cyRJQnXcGQOCzToNhCEfHh5utdv//Jl/Gegf/suPvn94uIdz6fs+Wjx0aGp2Zg4AerpXv/QlL46iyoZ16y5561uvuOKHu3cfHBocKlfV1VrnKeGPI0QsyzKHfyR3D816pRIZk1c6FUL09PSkadpsNqModI6toqYr5V/ZsrQm05B84saAAxpQVW/GGBYrhpezPoE6x5aniZHGoq1lCFOTU57v1Wo1stx1lnrSY6XUTMcHC3jIHaSHT9O0gDfH/f39XV1dzWazbAeXea7MLjhfbOPhZSpbJKqdvlG+zhEueLiLuzMX/ORw+kwnaWu+Xo7omhzmTL/gld0qpTGUkqrhUW0CVbRYNRSCbbXavu+lmW6PTx+zccOvbr/7y1/69ze96XWnnnrNPb/eHAZhEARJYq+44j9PPvm0rq76P33m/956293veufburp7P/GJTw4N9WltEQ2ViiCmV0qFYUjdQY4kFufTkdjd87wgCIjRaZMiu5jKKVar1UwpwXkYhj/5yU9uvPHGMuhAa0MJE8WjsNKuzShaQVEYQnUSypJzzoXoeDyouXKpcfvibQEYaKM452jtQzt3DgwOpklirZVCWlOU0ibzizGk/+bHaNxi8DwvjmOqA5FlGVUkrFarJO9ptR8OqQslOeoOLlhmiwVweedZMGflqy2ezsULhsjOR1aW327xb2FRmMlJfcw9DeXzWTEn4DYMyLdlqlDCqIMSIg0wd0WpqMQiYwxAIMru7t6vf/0bGzeufvGLX3LHHXdt3bK9p7cWRd7dd9/3hje8sbu7r7d38N3v+v9+//df9Y+f/MedO3etXr2y1WorjVQE3O0tlUqFqpEuzb5L0WH97gBw6NAha60Q3PM8XurcgIiSFq8xxCWTk5Ojo6O2KDEgpeRFho8b8QWz5QKB7sq0qIwxquQ87sz3/K4pJY4BAKT6UoEXgEW0CBaFEAa1NUZwTklftFqM1lRMpNSKRyqlqDBgGYPAOaeFTRn1zWYTi+6W5J+lm0op0zQ1xlBD3XKwgp7QhSxwkT/HnWkXFYFxsvP/19619EaRJOHIqn5UP6pHY5iG8QJryzLsop0DAombJRCCAxKCg89cZ0b8BX4Hc5kfwN1IwxzYZTmwa3OCtQzyLIOEbF5td+N2ubu6qjL3EJXR0VXdbXvwanap/A6WXc7KyseXkZGRkZEULpTTkdqHjhoiSJflowUGKZ4YA9Se9FwIMbh2is9tKkVnWIcTBs10OpsId2YtK4dKI94P1el06/Ujv/76y717P3///XfffvvdL6v/npiY+Oabv5z44zHLspWKup3ehw8bd+7c+emnnycmvpRSghBKRb4fTExMbG9vIxOKxWKtVsNNxjEU5xiXbmNjA2MncYkVRpEACKUMPA9viot8387lHMex0E1FcxD7JF74MBsFNlZCtQBNi4hF2EnoGzndtcAkohACj21gCBDP84hbuPiNpMzraxNtOydEhNbGIAgqlQrSFI84oe6Oh9OoEVqtFh4fqVQqGFYS9SWlVLvdbrfbQt8+53me1GF5aMBw2pE3NWq9NAJl6lITfAWHFv6OznmYTxRF6IbN+UpTfDofGkVYNlxQUm74hLRWLAxdRAMDitCA5BIsNqCKTyFLporG5yUAhJTKtnN0pEaB+uKL6r+eLf/tr48uXrz45z+dbrfb6+vr//zH4uu11+trbzY3Nzc3N3O5/MTEl/mcoyQIy3LKZaEUCiDXdXd2dmq1GsqXMRxOYJc4M1grHEBS+9FjjS19AhxlQ9f3qe2EiCNBK6UGuR6nBwAdKiympR4mQoGSUtm2RfoiMTtggk0/tIRQUoZcuVQ6kINlxds3NGZs25LSxhiRQRBsbW3hXiwAYHRZzg+qztbWVqlUqlarxWLR87xms1koFMrl8pkzZyzLajQamA+SG22XoG9GoN+peHj0sVarOY5TKpVyuVy5XHZdFzXRarXqum6tViuVSqVSCSO3oVXUcRw8l9nr9fB+LzzC3Ov1cEMwDEMMlOL7PgZN2dnZwTQ7OzsY1LvT6WCACSwSDnKaPYBFZBg6LfPVCyfJADBotwCIPT3753d1B1q2LXu93p0ffrzzw48ivfMHUKk4hXxhq90GtW1beQCVK+Rd18VApc1mUwgxNzenUkrgeOyyVBWir8kA3p2UktMkJBJyV8XzgsLLKpick1o9wZkd6Cfp9yp2P+y3EbBdTNEfioDCA1+nhRf0y9fXYmUc0LBbr391+/btWq2GQQktfbsnhkdNfBTfRVJ6nvfw4cOFhYXV1dVut3vp0qUrV66cPHkSAJrNJjKv0+mg6KXSKqXIwQGvskCil8tlpHupVMJ9OryAhGpBSg7lBgA4rnDzixpfaH8Ha9BhHbmLAwCnFN/36Zy/lLLVauFDnO6kdghFIZrgtGJrHql9yFCybG+3fb8ThpHv94LQD4IgCEIZySAIgyBEu0UYSikjpSIpwbKUsGS5VMnni5GUNbeayxWCINje3ur1ehhdo9vt+n6vF/hhKKMwajabL1++rNVqaDC8du3a/Py83GfgjeFbfTid3bhx49Gjv09NzaCSig9xcwbYHJ3QOHHgE12o+RPaZLIc+nkcSIPdnAr6EucovsFU4KShe1dFUchLwkG+KCjelFJbW1vHj//h8ePHAIARS/gqYlTZkMGo/DQajYWFhXv37j179kwpdejQodOnT587d252dnZqampmZmZMByA5uD5DCxK6Fgr0mVpgixwYXEcSF0l34rqNpWGzWILA9BbyFcURuC/GjAJ6U0dREMlQRoCDQqk4qIGKo7spPd1FSkLRKdh2zrYtIeI7VMIwFALCMJBRiP0cRbLXC3q9oNFovHjxotVqra2tOY5z/fr1s2fP7iuEGIyn+9WrVxcXF2dmZrtdv1DI+75v2zklojignaYWrkpB7x7ScVRS0hNhgPhKANhSSfcZSEUXMsb5oloSRZGwRH9HVO8yRFEPmHMOz18pS8qIIhEopVqtVrVaXlpasm379evXePOCjvA6xHxBqjnabWzbrtfr2MSLi4sPHjy4f//+8vIyehzg4un8+fOzs7OTk5OnTp2anp6u1+uu6xaLxX1Nu78XFIXCGwau9gxqfUopUBA7NguwRRzP2OJdk85NGwxkp9N1HAcDGuGMCEJZwhqjgKChfF87TePofuHChcXFxZMnT+Fs7vd6URiSgjDwnsAdosQxNsX+mZTuXBTRXIk/I6kFLdId1T0h4jgp+n18rFunr02SmVJKiWeabDtHpN/Y2KjXv3ry5IkQotlsOo7z8eNHjFGojWW6Tozxiq2ecUWLCgkmeP/+/crKysrKytOnT1+9erW6urq2ttbpdADAdd2pqanjx4+7rnvixImjR4/m8/lqtVoulx3HwQBPJGj58RQY5BMHVTb9SyJNIgHNGDxb4jdalvBJugzYCIVCgZqXFxXi25qos+JZReqwsiTUAfR13sJCwyV2EIbDxrB4xWIhn7ctywIBlrBsO2fbOZzxKpWK0HsjxWJxv9tMw+mOhue5ubmlpaXDhw9jEHf0UhDMCKhYVbBVFH8OABizfNjwpv02PgDIsg5KQXyNum5xpWTfnXCI1ZkPJ5rN8VoRAMAGCsOw2WxOT0+vrKwUCoUPHz6g9syPrkKKPYn60kKClJ98Pk/t7nleu91+9+7d8vLy8+fP375922g0cDnbbDa73a7UkT/IGsONvIJhZKeNdm1PDwNKPyorrhTRyTXOcl4e/pD3nU7QT4ilILmj6c57MLYsu647OTn59ddHy+VyTt+MJGLTFo5/AQDdbrfZbL5582Z9fd113Zs3b87Pz9frdTnMZX8URtJdCHH37t1Go1EqlYUAXD1UKlUp+8dzYJBw8RPd3vgnLr/SyRIbIqDpDkB+XKyUzAlxVI/yfBAUTwYXqfhLu90+duzYrVu3LMvytTVJpoI38GyH+iEJ7W2rtCGIDvLiAEvXF9vQ933P8zqdjud5nudhHHQM0YrqO31uFOmFEGiiEYMARsdE2woxRECAnl0F23rDrMj/mTc1ilV+bIqWPdjUfEqhFW1itU1CTQiBvgDYYo7jCG2uRRUF9x9xaYF/KqU2NjbW19ePHDly+fLlmZkZ1DsSdRyDkfHF0wz4zOD7Pt3bEYYhRifEf41qkzQs7V5PnQp6eFg6asN/p/ifJ5QO3bXr/AZaguClYPDpdMdBj+7FNGp5/416NyGzh/4uBq+0TvxraLbpxOm30p+m7SryREBao6KMzgIqZZbZY3n4vA9adMWbKYO3gslB52GyBZHZkZ8lV0zPHvppXkj+cy9dzmHpWz1g0H+G76ADE/AJBYZUlIQlLVHCxJ/W4FUi1PKCWavV4B4zDMpfpRRO1yjy6fVd6zvu9gikAmbU6XTw/oJ0TdLzI2cetVTyw0IIMfzro9KPKueoAtCI5S1FEzde1AZ6FcGDX48qw6giJWpKgyfRE2j84ed6lfaMsAaPXBHdh04OipnhE82SKFK6Ool6Wcx3n3991Ovp+vKRyes7qmCJlHyMSeZgTMVI5Iln3nHFnCjnJ9EdS2DpCHJSStxYTbTLkBz3JmCGDgNqRxjWQInnCUHOJVAiN84/0Y86H5/TS1SK57lrFehDVEIuyOnrJK4ECy+ckIicweMlRbpxxhcPBgdSOh8+GBIyaFTm/MVdpfuof6WHx5gqq0HNgoTUrkUdKPaY3Hd9eS/p99IZe3zloD5tsHcMHR67Jts1/YGA6zx7xP4OgxwgDrAhDK0PHPsVdr8LfkMhD0y67/vDe9bFf3NW/xd9ZvCJ2JewG7dUNTD4zPA5W9YNDBI4MN3dLFU/JxxUb/6vdYFRZgwyBKPMGGQIhu4GGYKhu0GGYOhukCEYuhtkCIbuBhmCobtBhmDobpAhGLobZAiG7gYZgqG7QYZg6G6QIRi6G2QIhu4GGYKhu0GGYOhukCEYuhtkCIbuBhmCobtBhmDobpAhGLobZAiG7gYZgqG7QYZg6G6QIRi6G2QIhu4GGYKhu0GGYOhukCEYuhtkCIbuBhmCobtBhmDobpAhGLobZAiG7gYZgqG7QYZg6G6QIRi6G2QIhu4GGYKhu0GGYOhukCEYuhtkCIbuBhnCfwCpkZYuHnnFYgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A23287668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "brand Balenciaga\n",
      "name Medium Classic City Metallic Edge Leather Satchel\n",
      "price $2350.00\n",
      "web https://www.saksfifthavenue.com/balenciaga-medium-classic-city-metallic-edge-leather-satchel/product/0400097042745?FOLDER%3C%3Efolder_id=2534374306623861&R=889300286976&P_name=Balenciaga&N=306623861&bmUID=m.jasf2\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from io import BytesIO\n",
    "print(\"Input\")\n",
    "img = Image.open(inputs_test[index])\n",
    "img = img.resize((250, 250), Image.ANTIALIAS)\n",
    "display(img)\n",
    "for idx, i in enumerate(Top5_imgs):\n",
    "    img = Image.open(BytesIO(requests.get(i).content))\n",
    "    img = img.resize((250, 250), Image.ANTIALIAS)\n",
    "    display(img)\n",
    "    print(\"brand \" + str(list(Top5_data[\"brand\"])[idx]))\n",
    "    print(\"name \" + str(list(Top5_data[\"product\"])[idx]))\n",
    "    print(\"price \" + str(list(Top5_data[\"price\"])[idx]))\n",
    "    print(\"web \" + str(list(Top5_data[\"page\"])[idx]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is clearly that my model can directly recognize the very similar handbags ( same brand, almost identified type) from my recommended datasets. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Try again to see if there is any cheaper bag. Use price_range as less $500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 403,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T23:25:49.360118Z",
     "start_time": "2020-01-30T23:25:49.257831Z"
    }
   },
   "outputs": [],
   "source": [
    "index = 113\n",
    "bag_index = bag_dict_max[2][3]\n",
    "input_vector = test_vectors[index:index+1]\n",
    "price_range = \"less 500\"\n",
    "Top5_data, Top5_imgs = recommend_bag(input_vector, saks_data, shein_data, price_range, vectors_shein, vectors_saks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 404,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T23:25:54.424121Z",
     "start_time": "2020-01-30T23:25:54.076349Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Input\n"
     ]
    },
    {
     "data": {
      "image/png": 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j1UdO8uGeedmxTAU+u1F/4tn0zFZIrYIooECrgBGYQROAgnzRgJ4IGAvegyqoAyegBDnmXXvDgt65bG9dKMDmj26k0zuTFy7pO+7pvObObtHp7H1uiLo/HPdHZ1/3PzYKkEQdyazSf/GhjV99mF+4Vrz4SGdnPP3lJ9tPnmWZRZCEBBQCy4wA5r0O8rZn0BkoPXY9qta1mEmbFxlOW9ltzKiRcQ0cAIwHX7jMR0cg1O/DPQfoDdcXHZ999Fx9caavOlh93yvn77xxXhFEwBDtG/9HZF/3Px6sYFAB4MOPzf4/7xsuEn/nnQubMfzMQ7PPnE08ATQsEiBOQNpbFuwtCzJnd1MdYvLdpbLI8jbAoyc2Tp9Z77sNk+TATS+97bZ5C2ZrJnG2Uye3HcpndnRz5sB6U5QIlAz1yvblx7I33tifMb3nVFyh6q++LP9zL5rPuzkLmf3Rwj8a+7r/MQgcvTEppr//68Nff3j69lv7Rwf2l56cvP/Jpm2UACQEkOq2QfOCNXvzmsmM/vJHTj10ciLDM7D+LBy47S1vvP2OY/21+fzBp5tfve902no8bU8OvuSN997Y257Gxx7bONAL1123unTkOLfVE+v89NBNQwZFbh0lsAsL7ptuMPcezT69aR45F/7cDfgDb+qvrXUTszV2P8b/N9nX/Y9KErDEp9bDX/m5rRjNO242n77Ev/bYbHuoZFDalnTywsXm9rlZaqbJ9jMDx1bpVS84duJ889SZ8fFlXB2Eb/zaF80PSmMsAPzOA8+OKnn2zKmFuf5tNxwwGN/7qeEP//hnYPOkPXbjm151Z0FRNTVcPniu3a5y7M4ZT+jg7gP2O+7sJcrf9dTohg7+vbeUd90yL2oQdD83/4ezr/t/GwWIzN7ohx5rfuC/ju49RC9apHc+2nz6TI3BArfaVnct1/ccTM+d23nosWfHp06Cd//uf33HX/3O1325p1NR+MKI6u9B2v/0608/fuK53/zwp1cP3lFmxfoo1MPpXbf2x9T/6DMy5sJ1y2jK1R6//fbsBUfzn320Vm7/4Vu6r7trNYEasl/maff5PPu6/zfYyxwS8f/5wOQfv2/2vS9whU3/4mPt2S32CGHWLmS7b7+7uGvVP/jIyS3yu1N6020L73j94h133KBAwvL5JLmCAhF9If7y3kwa0L0BUwUVZWccAOyMxk3dnrtUnbu4/TMf2XrX+5699+DkJS95waOj+Y89PYOFQU4Ocn3Tzf4tt/Q/dLp6elv/wRu63/LyOTYZ6X6M/wPZ1/2/QZTkiP7d7+z85Ecn3/vCcqPRH/vEZGfHWitxOr7nYHXv/KyZVi88Nvi2N99x/IZlAAYwACAKf9zMuIKKAACYL/rL0M7+yv/vvl/81cfb8w981/f/lfml1f/8sa2xXc4Ki5m+/jr7zbd0P7nB952N//RNnbe9ZimIOOP2Y/yXZV/3PwwWNSQ/ed/0nR+rvvMu99jW9D99PNYBRCULo2+5Acz46WfOPPsv/r/f+cp7rgOAxGINiSgA/EmGgVRhb8EjM1tnUtN84tH1X3r/g7/wG5/9S9/y5izr/OxD1Ykdnw0GWOi9q+kdd/dPjM37T9Q/+k1Lf+5lPVZj9m3/cuzr/gfCwobwlz81+1e/Pf3zLzCfPD35L09gii62zSJs/eV7wYTxwvLC/+Ntt3V6XRYlBETQr/QAvyooPP9FsTsajav4oftOf/Ch9Qs89/5nnF3o5bm780D6jtuyR7fdfc9V//Hty6+6q58ELZmv6In8WWBf9y8PixpKDzyd/u4vbH77C+eeXN/9yYdj3RK38Vg2/Yajszff23vj627ploWAgtBXe0hfREXVGgKA0bR68//0S0cWsyxf+9kTZAYLeWFvX5x9683FAxvlxQn/3F9eueFgvh/jv5R93b8MLMkQntlO3/eTO99wU2c0G//Uw9XWpGzb9oXz29//4vxltxQvufdGQEyiBi9fz1BVRdQYevTE1jt+6J039HTtnrf8xwc2bX+Fcvu6w+3XXt//8Hkz5+Q/fv9qWXrc77X+XvaH434/qgKgodW//67de5dc285+6uFqY2xCqm/Nd//OK/vf8Kq1l7zopr2ciqXL6hMiGkMieufN8+/98b94cnd6fTn+66/qpOEIg37kgrn/bHrzcXNuiP/o3ZsE8qVFHK5x9nX//aiCIfuv3787rdJ1c/EXn5iuTzBFPWLHP/Tm7ktfOLj+2IqIIF6x5AcRJsbjh1bvf+ffvO6gP+5Hb70rxdFYWvOhs/rZzfq11+mvP1r//Ed3DAnvK/9F7Ov+exABIvrk0+GDj8evv7F84ML4/I6oZAM3+xsvy192S3nTjSsqSnSFr5s1JKpzg953fPOLBssFbJ5+260QR6MU8X1PNNOQXn+9/+FfHz5xdmoI943/Avu6/y4CqsAphH/x/q171ujScPTgOR4GkjB8xy3Z6+7s3nrrUVXEq2OiOSEqoCp86+tve/CZ0IvPvvIQ1zvD3al592PVvIt3H+z/4Lu2OTWist9D22Nf999FFQ3hOz/ZbE305pXsM+fShWnODb9+Vd56u9x1+ypeZeuILJGqLi/0v+Vrr/ul93zk7vKZlZxTw+vj7H2n4j1L4eKO+YkPbjtjRK+i076C7Ov+PKpAoNuj+DP3T1591Dxzafbgus6CHMmad9xB99x9oOzkv6942lWCAP3w97z4JXcd/tWPPPmXXrFA1ZAVRsmNq/D22/J3PlB97vSOof34DrCv+xfYq+/ysx+fZkAHSveBM2G9JhOn33WXvvbFcysH50UEr76rRYQisrbWf+c/+97FpaUSdt92t+fJ6Pxu+NRF7rrmBUudf/4bW/r8aNW1ztX3AV4JRBVRz2/Fd312cs8h9/CF6sS2SIBXrtk3vKA8dv1BVMUr3T39g7DWiOihIwc+8B++O1UbNy/Wty609SQ9cB4+eDLctGYe33DvfWiLkNM132e9Sj/Cy4wCINC7PjUzbLvUfOIc71bSo/TWW8ILblopcytXZTPm8yARMsvS4uLf+K5XvO/T66+5kbqiLcNj6+H8eHLPgfL/eP+4aiMiXuO+7+sOqkCIG7uz3/7c6PZBevDc6MQEk5ivOVS94rbu4tq86p9ovtflgcxet7Vgax/79ENvvi1Kw5eC+8yF6liPz4z8z90/MgjMX1qa/xpiX/e90K4fe6rebeWuY/7ooCcJStu8/YX+5luXv6QY/VUKAiiAMflffsPyAw8+fl0+PjBomwbO7NrnpvXXHS9+6v7RrJoRXtPTRq513RUAUVJIH3yqOTJvN3eGv/rkbDbhNx6WFxwvB72uql5Nucc/DAQQ0b/6thff9cKbTm3xN9+caWovVdmJ9XDTMrfB/Nwntomu6ZkF17ruIICgj52Lnz7dLnn+zKV4cZp1THrLjXTg6CLiH76d1NUFIqpCnmc/9Y/e2vXVPYd6xwchJHliG85tj29bK3/ywbppI/1puX2/ClzzuqOqyvuf2K4VVjrpwhiaAC9Zi6+/Z2Vxvkv4p2z/G2Moidx7+/Hv/5bbH3vy8bfcWliutmr3qQ24ZV7ODd27Pz1ChGt2WsE1rbsqIOKs1o+d4tUS10fVmaYDyi8+GPo9JTR/Glu5ligmfu2Lbjh2sJNNNm9Zciz68I7bncLdy9l/+vgE/vQ0z77iXNO67/HMxebUNh/q4hNDvzW2B3p8qBh1ujkA/ClqyXwxRIRAb3rljQ+c3Hj5say0PK7loQ25Y+AfvxA/dXJIqCLXYorm2tX984GbP3aqluiSyJmpaZv4ksXwxhcfm5vr61d8Hd7lwiAowJGVXKvUm54+upBz4vUaCiudvPOfPzXc+2K70qd5BbiGdVdV4KoOnz2diODxLd6YkrF891JaW5lTlT+NLZnnQRTV+cHc97z5wMcffOylBywZOD/lc5P6tnn/m080TdOYq34k4avBtas7IiLq+qY+fpGzjMeNTlp7qIwvvq7bme/86Q3texCAKn/X215Yzs9fn00PFzBjOT/VY/N4dmw+cTIAwDU44nTt6r63f9LpjWa9UYchRkSWG+bp6EqnyDPEP935OkRUoEF/7of/2qvaautojyDpxWktoe0496uPjuCa3PfvGt15by8nU1Xy8XNxlFJR4U5S0XhDT3p98/kxyj/Nvu+t/1B98W2r59f56WSzHanEC7rbFrOPPL2rwtdgZY5rMrorAEhd84Ut/tizNTAPW43JkPCBrskLBwB/2l3fAxGdt4XTnscICEa3qnq1oBM78Pj5McCf6g7Kfw/XpO4AgLg94zO77RMb0DEwbKgVU1o5MBCT/Rm6JgqO8OBSYcgAIiFEkY5LE8l/5/EKQK+1VU5/hj7aPzoIdUgY5eHz9agOEmMSEY6rBXYQ8zy/0uf3FUMB0Jjjh5dXCyggNcF60Ax5kJuPnGwA0rWWnrkmdQfgBHUjHznBLSsJEFplOVq0aysdYwD+bDRlAGCv3p7RFx13B0qqBEpjuqTXd92DF2Q8afd1v1rY23haFb4KzUsFTmeH1YnN5AgnAZpogeXgwC4vFrknuDoXpf53gtZCNV1/+WGsIq8nnCYgw2cm8ulTLcBXq/bS1blY8KrTXQFY9ublwl6RUUQQAZavUOZMQQFCxM+dk3NTdik2lSIEJIMym0xG3vk/MxOo9kqc9buZdfl1ffaC52rdDnE3Cmj23sca+CqkI/fmn+1VnbraruTVlYgUUQG2hKBxayS7s9Y6v9DJ5joCYEQU1PwJFxYJKAFc2J792lONoLZBNQgUUmQyl5vBYv/P2PD6XiHVx07tlp3Ojctzs3pyQf32jLGgD5+cNnXrMrNX6BK+Ek04VjWEIYbNsaz2rXUojFfPVmlXke4sagg1pd9++OJvPjl55uJkd3truLvZmRu87Mbj3/aq615xyzwSiujegOgf8unsFXDcq5IusLeAR5HQIBKKRPnQE+3Dl9hFaVtNjNA420urZbp+rYOIIYkz8GejmqgIoIGbD2dPb+pqV56u6NRUJo3NS358137q6dGr71r5wsGqoKoCn99uBPTzBbz3fuheocA/6MqIgkF894dP/uivPLFd1QeWVn7ku+9+1Y09BX+VXMqrRXdRNYQnz27+xG+ePjUM958Ow53h4YEtmmx06mO/8tB9v/jeA2978yu+6w23vuymFQCNUZwjANxr2esXrUjDvTpf+PxHRAAAe6s0wqyVyXi6NaSf/uRkyk7rKrbGCKCJXQNPnp/+zIfOfM/XXVfkHVVJDObyVjz9yqKqomANA5ih9IzNhNNIZFYBM+fKE6Sfvn9jbZDmer1egd54sg4R6fkhti9d2oLP3wOArHv7LTy/Yz0CiqohePd9T/3Nf/3RH/6Lt7/2rkP//F2f+Qs/et/H//EbDi57vTq20LkqVi7uxfX7Hz37D99z2pbFw5/b3HrkwZce55Wjxz83WznQ733/ndWv/db7PvbU5tGXveVbv+YFf+2Nt87N54nB0Jef2cIpbc2ajd1mZ9xe3G1On5uevzg+u9WePD38gbdev+lWf+Q3p95z2mgxOADEQTiwWC5vPfXJJ2Z339P/W9984zu+5mDZ6QEAsyDCFS8K+cdCRODzm8jX1fQX77v04On8QK/4mcd3z2wGjTZgwNIJ+WP5ZP7U0xdmPD9HvYKKPJ9bcL2enS9drz833/VzGQxK3+vToOvmPC32ikGnyAvzpb0+AeAUXvY3f/HrX3j4n/wPrwawkJoX/eC7v+m1d/zDd9y19xFfgWvxe7ny0Z1FDOH7Hzr9z9933i8Mwvb6xUdOvn5561jPfc+bjunS0W/7F58evujOf/uj/8tTT574W//w372rmp48c/EHvuneu29ZAkmhiVuTZmPUXNyNF7bqczv1hY367Ea7PZnOpmHaGDDUVqk0Kdb6Da9avfnWY//k57dRIW4HBVQKFBWiVMy9sre2Ck+cnH7fjzzwL39+/i99/ZG/8HVHVxaXAEBU9woWXAUR6g9E9fkvSSLSVF/cmb33od2f/JUnO4eP33v90ocu1M9ukUyBcwZFqZjy9tysd3E6MFyn1l9oiAhpQ52Tba5TqozLKLVkIxjKbZk5dBkt5X6+m5Z67sCCP7qU33l0cGBgF0tzYMGeObdz/tLOd3/NqxWoCSn3+V96w82/8tAleMddV/raPM8V1p1FDdGnnjr/0x851xsUbz2u/88H06F+feNBl7R7z6teOuj3blv55NObzea5S7fcdtM7/83f/d7/6X8bH+z/3V/8zJvvuO705uT0Nl/Ywu1ZO2ogJggxSGORwAJltiyNQQO+o6MKfd5802vveOdD1bnNxlUJ1AhFJSYLHJ0y+7wNsb3xwFJI/Pj54Q/+H4/881849e1ff/R7v/boXTev7X2xMwsg0tU0f2yv0QIAhtAgxlA//sylX/vU8EOf23n0zLDoF68/uDCs64fOx7DTOBHRFodnVIgXDrrlpeQ7ZsSaCsrQFb6bQda3a4QzdU2EvA2VMR4pMiOhsDw7w3NTTRe1lhBChTDs+dj15uACgUQe3HD/E9tLK/ML/TkEOLDQHU7PK8NV8u14JXUXVUR5dmP2kx84CVnxg69c/LF3fWinPrDSyv0PfmZ3a+c/3LJYz0bN5uAzZvXHdPG+xz86d+D6i7f+jUfPTI0p3v/ophrTMSFz1jhrjTgycwV2VhyQzBXZUgcuDcUZv1PFOspL7j4wRX3vo1NsEtQs6aINuw6LkC8gzG9tpJvffJPQM4+dHEWhI6trtCqbO9v/+3986if+69NvvHf1r3zD8Ve+aHWx191r4KgiIVzBeZN7liMAkRokAL20vnvfw2c+dqL58Ml4aRRXu/aeGwZkyvVh9diW3d3hMsQqytcdPvOD33noNz9z6b0nLp6oS1d24uYFHhntOGhjXZg5g+LDVmt6Nk6TjGa2m5nMBg4cMC8t5FCgY+/drKEoHFSmQI+va0Brs873/+zo6M+99wP/9NU3HjuiSXL3fJP/auAKR3dV+C8ffOKpHfnH33nT9MLpI/3u7Td0nzzbn2znzg5+6iOXpmsv766snm34gU/VaG7ip5p+7qA/71Pqz3cJYc4kkNgGVCcZcQY4nyVX2Bh1OuWosLMeplOYVOnoPPzW47PNHbUR4vgcjh+dt+3uOJj523UtV5t/+lS69/hRb09HLZ7bqqsqHVxZOn6g2diJ7/nIhfd88PzxG4pvf82ht73++MtuXwLye28hiSAg4eXI5Kjq3vANEhLi3tZL6zujhx/fuu+xjQefbZ7asZBkoU8vvT4jzM6cHy7MYZfjcxuQq7ZZfmiw9fe+rliam/y/vuPmv+foHe8cfuSphazbDcMdRwcho+DceMyhly8UQKy2QGsjenaAUbKqjikBEmRE4yEjJRER22k4Zt4531FA1++de/LCBz/02eu+6/DF3elckQGyKNFVsKn3FdN9r+/y0c8+9/GT69/7mjtfcf3g7/z8iR/6vq995KefXnjB4t/+wR94+//8r0P3BXfe8MLdekbs2ty2LZmyO2M1UQBCnIokbkxSNB0EB1UyNiuIM8eMsyibMw8tjxsdT2SuwMdG9nMbKVcOs/rbXuK+4/VvfMmtB3/xtx/7oX/1Kdc/RgP7mdOzUewWdZGb9oZjvbWiOL05Oj2UQ8fnDhzpT3Z2z52b/v//w4l//jNPvPSulW985dGvf+Xy3dcPrC333pECCOveZtj4lWvlP6+4AiIg7W3BhwDxzMXxJx4d/s5DZz97drYd+jttyjv5sQV/85qZ92ZzGnam2i+zs5PZnavzh8rpGMpma/aaO+i1b3ndic8+PJtMbrr92Dffnj70SI39RTve5dmOunlRsJRTaMZgF3PQKEimALBWTUyuwCrBoW7aGpvMGnGqQQBqAoqiMahY1cjLnU5iNQYfeW7rwMLcXkkQvArGNK+M7qpACHXT/Mr9J28/fuC7X3P88dMXvU0rB1bu6Dx2zxvmZ1HSpafGZ5/pvfKNZ4bNxWAbUYhNZEQVi5BbLiSgE0XlGoFam5lu4b3hrZ02plQHaBvcGlqtWUNTzpltdjtBvfeSRBj//BvvSMn9ne8f/NbD499+KlrMK07b49nNczRHvq2aEcBgYe4Vy4PN7emwlcHh/uDgEk5lPBw+8tTOA/ef++Fe584by9e8cP4tLz3+wpv7h1YXjPndGeQKIHvzaxUQ9fP56i+5CT7/Tf/8D1VRfH66PQIRfvGdM61mJ87sPvDY7oc+femz52smFOyYcl6K7s2rZqXLhdUzu5MzbKoWmqaOFZ9bn3ZXmkLbiSlMzz78XPUzv3YiVHT3cTr97Na7P7lt8hUCi0v9cPKscSUQBWtG4DomTKPpOXCaGBDZFBaG45QhXKoAHSBxK1pak4QrQGEBUlBCS7sJP/A7D1TDjQ881vuhb1lTEUS6GhYQXCndlQg+9sjTOxX+3a+/CQ194tMn3/jyWx958szo9Im3/eW/8F9//eGVgdm+dObU+u5yD09faBFERA1YUUFJEGU3UoY8X8DaQqXOLXSRW65DIpeJKCg3DRWpiaSxbSbJH5amH8Q6cj18z/2n3/2RQ2/92jsfeezCyQts+gNjmyzJXJ43zBpjkflWEoSAhGurvb74WNXDWTPqiNLa3cfWsnY63Jmd257+2Lsu/NjPPzu3YO443n3xrcsvu331rusXj6yWg05mjPv8O/6igZsva/wXfvt7Cw0L1xtjPvnc6DNPbX3mxKXHn6svDltQX/bybK7bRKCy37d4dDn3UFdtfXrMmLBW61CNAXC4UPJz50erq71+qzYvntnC7/2XJ0x7Zs3PIg3a61+hhVFw3hQRGmh2SLtaWHHdKtmOq/uumQUvzM5rmVG+ZMYNNEDMAglyAO/BgFaoiNaLCnHrBCK961ceftfHdrN733R4sRciZ7n9fJr+SnIFdFcAImza5v5nZl977+GbjvcU4ML69qtfdPM/+tF3/c9/+es7ZV5IvOvmG09Mi6eenbzqru7tC/ipHQuAqIJorIfFPJSadltkRcGcIQyrEFKnrvy40aaWpjVpEkuNEKtgRHorsa0GmTm+JKlv73um/Yt/7V++5oXXfe4CXaDre8cSujxmll2L1bAF189tYTucQq2+riClmo3pzvXmAKchbk/qDe3017rHD6zeCjDaGjatnNoK9//yRXjXOVfYpT4eWeveeLB//cHO9Yd6R5bnV/q204G+82VmjVFENJYIkVnbmBiobcOkDltj3hhW6+N2Yz2cOj88cX6yvhuG48ic+rkt5u3g4IEIJRImTDcu5zHrkchuNa0jA2Q5iWSpC+g4ZM6cm8x6GW2PLjbzg9UCJ2rVdsvFO7YeWd+a8ptee9ew2/30CNuKDxbdONdPSjY3IUVtq9T4Su2uz1dzUJEig8iAEnreLFqZ93JppJuViWIYKTdJpZ0mh4SdMq9g+u3f+cZP7gxCV5fzDK2DP3gs9nJyJaK7AiCc36yrOn7zS69TMLuzulPYn3/PA/fcfuyeF97wgd94979615Njum55Lju70zwx7K7k1HdYA+WSYgpNi1sCK51ibk4Kk1qWNHPbbZZSSJxCXaYZxdg64EApiWB/YcqmArAdtw7Fq465+a/7mvs/wr/16QvloRd881vuvHGtuzGRj1yoMcxQHKEdVSHPO5HFOkgacgeFhXGk7QBKsNz1qwoM2Eo4N3FaLlCWii7duCBNG9uqaZvq9LPxs09eaGKAZNG2Ze6s84WljgckpzZleeEEEkitRlOqZ6ENUDdtEwSQC7K+4+fm807RXZx3/SyfZj5XlKB51umW4iShaY00xJyR7RZughY4DlyetI51PL+b6lq3ZpjxZNhMWYsdcdbQjcfne4Nv0hjmD7hnLzEBdnu66v3ZJooPwpDAmWTUwiQoTywwFVZGLB0HUTI2xnC81Djx5IBUxIBmHR/a3BKB0YUwOtCt/sH3vvB7/v2p3tL8oGOcpatkqfsV66o+dWZ657HFficHgOH25Hce2hgU7b/7ke8X0dH29pmdaqtd6m8+aW6OJek0iDEFJCFr502VxCFSJQoVh5RasAjJmdRyhkQOJ85hlhlKbTPjwaprwM/lk1PnS2vLlmW0Ob71cP/lb3u7Cva7spRRy7LSx1sbnG20LUNCto3b2K3IaAFqCt8tXNOGcVRCNKxznc5GwMzIapHdciTfnVAb+OKsnrbST5Lml2IMBeKacmajsjrMtppZ1UYVGAsCS2l8O42YMAmDE2PIloPlRSRiJWesMUXPWG2YUcwuu0HPHcs1gu0aaBJs12oASTyAdA2xKHvqaCYaMtKewi5Yi7Id/Xe+snjHy1b+0v958dzkODQNC37sUlwbjKpKf/rJDnQIcldk5tlRffct5jOngVkwtFo4QJBIFad1sYXz3nNAmLTUwbYxLoBvEkd1ZGIf21njA4Ia7edZ2Nx58bH8xrtuXcqfetWt/aNHF/CqKWtz2XVXAGAReurizje+4vje7548t/Xo05v/1//65/OiUIF62ly/7Ma0tn3mCSAtU+tyPFt5BJyxIVNaG9tk21ZHbBYdOAyUgLCFyDFYDmSwBnVtjUHtkQXzQ28ZnZnI3/s1dM6nYC+M4cKlERhyiGIVEdDQQh9riX/95hE26b3PzJHBNiWD3qIOHE+m3MRY5pkF2o3+uWEtWYeM7gabACYNWYU870YrjkoboWW7WVmfqoZtCza2jcF+zPKcZiWhYMocGE0M1udOCTm5VrRB9ACUUQkmLwgV18osdzpM0ETLkibc7s6kwNTxVLNHlMJpFOMp9b1vYiBEImmiyzOfyeabbse3373zUz/+7nMbd+B1xwVrJZsknh/lqEwdAWSNXFe0HSb/9vvWfuI9o/d+1maOYmoVPdpcjAGBGCGqTyzqsLXdpgnGpMKCZQZDoybvWCCQwOgMbG/tHnl513VX77hudbn95KUz7vrb7r5Klrpfbt0VAJG2ho1iOr5a7qUjH3ny4tted/Mr7rklxuSc3R7VHaNLczjJD3gvrcDBQvNaBCAGHUWXWZNxLE1qKU4ikLgCpchd10lFsVUNIVOG0Oqx69P/8h0rf/7VK3/9xx9CA8ZjygyCUnIQIyhoAoOkCXaHyM105c761rlLl8b2U+f7IuKMWqCdYfC5884ETqJpQBCLIuos1TgDc64JaE1OkkRJTSs4ZulZON5X1oxTBPCzlCm3kNQl69CkLMdYV9LLTWwCRbYe1EOC3BdewVmVdtYqK2zUklEcRrtQpJbAiBS+dAKqqXTSsYjCQZK6cruKqx1BwRy1SvU0tejh+1678KHf+OXn9Hp1BGSStWgssoKARMKUMCqHqWOV6dPPPOvf9mLzwSenLZSEgpgUGtQsaopsEFKbHDeoRBla62wLqZsBtepzHIuEaI21dVOHSTz5xMkP//avv+b2A2u9jCVdu8NMe/f4s+v1ci931nISJTPdmX7f216xN3oCAKO6uelA/7rl1Z/4mBxbyVryF4MSAaEaIpCEERomC2DRJjANyLhSOzP1DFCSaVQQ46haWYLXvm719Xcd/NH//IF//7OP2P4rYhojePQ9LR3kTr03gGxUFSBFa/j9J82rv/21330cnvyljZZ9qHkD2l6Z5SBTEesKktDJy0Ge+SwDVZt1qoTDWUKiWUybMxy1fruG07MYp6YLDXBWo+05zcizBaaFmhsARe1YTy0kQi82xiSAGSjvNAVE6KLrOA1GhUyZd+7qWmfDok2jBE0UQmEpOLEAgCp6cNh0M0MSLJCokiGO6nx24pmT6Jc+d2nAOzOz+QmbKo0VpBZATQoQZspDTFtoKAwv/Swd+wtvfemhzuTMOLrCoPWimWGTvKdE1hC40KUMVCKiw9CynVYCgKock41ATLZiEXWK0/Nnnnvxa+4cdJYGy4eukumQcCV0VwA4uzU9uFgAIBncGVW+42+7aRkUrDExtG/9lm967Mn1trP4Ex24ZdGcRZ2IC4JNRBRAsFGigk4rimJEIkbxwhGi5whIyTREgEVFXY+9uX/18/f963/2b/TCUww/jZQRWfAd8gvoF8B3wBjULmkXbUZUvf/9zw1GL/7xf/pXO+++BFk+rLTnSySYKjt0pUmu8JoECaogpYOqrpJAiiEBEcDAImnoIEjfR44cJTFFZkfJOsOYDEjhbFPLxJhOx1pRiG6hCwpmZxbHM++d7ZUycL6bNwWqIhqC1bzeTjRpEyojw5RNG7mTgSRGtIWSg10kLyLGSgSFBGiz5y7p1gIXFLPFJZhC2vwUpMqkljWBKksLqQGpQVrAGfDE4MHRxiUaZWlU0VwvVo3JWkZ0Q/F5JgIAbHMFo22yNrNMLtrCeidOPZncirp2NgJN1WLflmV+4NDBbg6M7ipxHS6/7gQIAKOqufHgAAAQ4XMnL60udIgcsxhDluyR645+5MHTdx91CwcW5nM81WRnxq2iJUVlEWGJde7RZaZLVcZVQdoojiezTGNqK5lVPG1tmE4Xb3nk8XptcfkNP/A3n/34h09/7vR0axjryFUD1QggAAkggFUARDOPg+PC6XOffOj+R04UZX5pwqvzGWvarXUOoneeIZ9O+NAcqTYlmQ5hTmrJdFCNsRVwSO6QUB0ggFrkYWAGN01iyfURW+EmKQMXuS4odwrODIQ4msUIrANQV/pMxUAem8lmlTpGEvj5Dp6qErGBnEJIYjGmREqayNmYA1jj65ANMorATVAhvjDWncqu72xeqLt/8d7bf+bRk5fe8PZ7Vr4jtHnLHCVJiiqaIqqEpm2aKhwLj7/Q//okzq2bG/DoGls0ZMQ7yJ1zWuay3IWSpJTZKBID+hglVSGNtiYyqlApGnSaW6acsqk0FZjs1LMbi305dOzYtRvdAVWSxLZd6DsACCn9xv2PvvyWg18YXURrUCWJefUrb7/p8Nz2cNOU3RuKeHE6jpzaaYJUY0BNDWWMAnVMDBEQypgD120TtXZWmltedGCUjz5xHxw6dPDwkW7x0pvufVkKXNd1FXeHs41tnY5GmwFUycIo+e7KWueWe2h2QjdO/uqT49vvPXzyg1ujIJnUmS+TdiLJwHFJghqXSjcosMzLTk6AFnFOJCKqMy4wbI+hRQ7RTtq6ZUXylhCiFWwFgQi8cSm0g24OEktXNsLjFjanzUaDyzn2DEy4u9ixUcEBR0FNPjfSKQ2marvmEGUcYki04ItJakpbD7Jyp4rbbJuUZkO8tLtLm5t+Z/3n3tN5y0tf/I0v2DnxzLm4YMfYm8TGKiKiI+kuUmntdpyniNd35AZ/4Zc/6MbB+AyYowICCAjHSBOn9cTmzogOEGCttNDTIuOVzB9BOjdOowp26zRt1Z07X2gT20SIKYm15uppuMPl1x0Bxm1kMYOiAIDTZ7eePjv+ttfcAQCIzy+3I1s+/NTwN9/z3gMrg8l063CRP/FctEGGkmWq6Du0WMwZ7Ofay9iSHcWytDOvflw1lzah3R7d+IKb+0uj8+//cOnnzz7y3NkLt9jOEqQ6L0yRzQ26S3D0xpWBLoLUIsBuUblbkqRUzF+X33DTiefo6V+8T3xrDxyiQZdV0aFYkGFY7qfM9gpfIiIjVk0S0MgNiw5rQqjVqLS2SRoEKk5tjIzk0TUtoEldTwm4TarGbU+bzNoiMx3HzuBKx6nEJY/o3XDYzGZhEpIyzNQbnrQiiFIgoW17vmMBRaQsUqzxyd2sqafTqglNKqTuY7OCNqyuyPLh0WO73/dD7/+GV/WsdQ8/ncDVIAGQEUgFYF0gARhLnu7j5tSzevKMhyMLgEJEEJmR1JA4Sq3WIQ5TQnZCbp0iQCgcDIroex4JIznteDeXB7b3QPOye9Ze9eo7PvbJkzccv/PqcR0us+4KgIBVQCUuvAWA93/q/G5lDx/qAAAiASgitG1zerMej+igbLzsja/+4EkM13dN1n1oJ4/GVS3k0gwljIZi1ccW6hS8AuFUK4GqXZ5vlw/L079y/8KLX3f2voez3Q+Z9Z9u5l4iR76uCvNTlM2zFVJ5SkURxBBwC6SACcQAIbRjGKesf3BlLo2HDWyd7fc6kpd20F+3HTE0DLhTj4a1CQyFKw4vqMG92eCu9LbMOOvGZSDrLURC160ieaRpahT8tNVhZXdmoWPZ5i5y3NwN4ya0MQHaAvU5zwZ7xGEWwlwG86VdduANGJuVylmOi744V6WtCp6btI9tDaVqhpX4VB8o7WIfOgtHXJe2G/Tt+OJuaJbi7qX6F359M3v9rbmJUZDa6UE7HG8Pd1vnlw6yyxTFsFY7vFEXL3rd0d263pICUOvI2gIgqDWq3DHNRLwzAaASQDV5ZBhGcbss3rJpJSuMzJwL33TPgdX5mtFdvLA+mH9dEjFXyWz3yx3dFQChSsGqsRZAw2995jwU5Xyv+7uHKPZKN9cdPPh0uufWle95x8vO/tylJx6b9KQdGHOuBuTEIUqLsVFIAokJJISEwMCJU/RH5tdPPUfzt+S+U5/b6t36NatHIjzzier8e0fbTczW2PU0E9DagqGsW/SWbW8xLzLqYg2d3fMdCZ/r9g4vX3dorrSg3EzarUkz2RxqODssi+jyYb/grJgrhD08uWOBoex1fIwqzR0HOxLMiLhnqCy6PtPDmRq03jsmQLWzqp02RemtkiOuG3XjJkliMQajPDdJbXSDgjsZzGXU9eCcrUNkpd2WH7tQffTZ9sTGMEWxbdUzstKVG48sLi+u1UBLJYrAuc1p3xvMsuOrxXSURuePuLUBC4IEYBrES7DzdCfUh8r80fMRDx4Hl1FS5NBfPNw/upyrcRvRQ3XWFLOdAFXDBNorVvt+zaZBFnfrbFxJJRgbkEg1KWhUZ9GRmYXjdlxIPL9euczOZtPRaNbvz8FVMqZ6uXVHAIBqxmQA0Jw8u/Hxi/i6485bA59f7C6iWd75f/+Pr3j3r3787d/9bUr08qP+N54qzrcmd6JBqWVikCTAFYZAca/YAKqC09b2pTyc73wCb7r7lpMPflyb6ewTn96Cdxx+7Tce9xvcDLUhjizSpjCOams1vrOqvpwEnVRmOu5gGJKBNNNm0gxyHPTKtsSDBztGB7vjJgRo69QMJzZtpqxQu6GFmyrV0wGSTJObNHWRWQfQ7+cHutLPdCs3qa6ahIOcasE2QJEnr7o9aaqEeZ6p4mKOS/2s7Kd+h0ClSTKcxK0WnmpgOJrsjCZntsJw3I7EdKjuijm41h0MOnlRLM3lSe3OKEXks03CCGpoFp1VnsW03mayugIuBzZKXts43J1EtT/z97/xjS8/8r//zGN//9drMLlyMimNxnFjR6mTlwsu1X7Fp110462g44pZL2Jx8wGzZNvFTEe52WnjDtrdSlMUZFUFU2pVdIrcjKvzT1yYGrAvuefmlAICXj0Vlq7AJIJqKsZZAHz06XVk7BaELhfdm8n9/CTZ61ft937rXZ2yA2oPH85feTB+4Lm0wcYItBHiLMJ0LNOZsjhQADIWyFj15oUvucH60RbNeVNtP3bGFhlBMzz5yC4tf67joTxKSBYVjGXNCTDGBEEhREgCEk0Y4/gp73q12DOb5sykONJvS4+Dwsz14uHl3uZEDq3KqF5IjHUdtmaTuXamQXfCLnHKlKuM2yyfL936Lp9jXzHN1HQyMw3a91qLU8gRmm7uWjQYsbCjSXA1OmwDGJ0JSWqlTR1qjJCLwVHyzmLyhxY6L101y0tH+rkZTZP3pp7xpI5tSmD8dFZ7BhStiBylqcatiY2RysLU9ZQ6hS2siO1N4R+87dZvePV1IOZvvPWO//Txz22ptAEUU2iqDvDiXJiGju8kTjGzJu/A9hampq0nehbd0qEMDRUd0yM/Ze4hc4p145gBQrBkt1o8dWn3sdPjjd04mW49e/LkwsuWrobx1D0uc2NGAXGWpF8gAHzu6Qs3DPx8D5+vn/G87qCqRdn/6C//Tqcsjx0/knkzyPQbbvXvfHzatmAagckk7W75nIpu0Slz4z1gBJE0N5B+NtqouovLF08920K/OLSQ1oc4OUubH6X8BTKbKZkk1CnAwWw0rQ6vzW1sBK4TpYhcaRgbEegOwDs14KHZrJypcHPKNDYYAnbNas4GsWljpV3JzbY9dKjLRQrMrkwNaJPa6kLNzjgCWKR2Dt1o2JaYfOSu1Tba0LZU2hyKmEg1GGu6hIUhEDuHNivM8lI2KAeDnh/0MjF+wmZQOGOShzit2/PjICnV3E7YNq0dBQBM27VxKSz3XDXVqWgKWLfgAacNojM+zxVNVD58cOmp9fKXPnTu6166+m9+5dGgWmRmpmDJAOP6WJfX9Ng8G5EmpdUyXZqVvSJsD2k01Zr1xBZj7guHaCXzCOSjYJVUk0BKTmtVefDMaLKzlUxuNE5GQxH9E1bC+gpyWXUXBYMwruvFro8cRtNQ5kVh91bBffGcCu33y2/8pjc+9ugTy8sL3hvUcHypcJpx3ULdQErYnbO9jlvMMMvroBZjyxiz/m6dUqWDvhk+MerefD2oawuFZhfGF2V0ALJ5Io/17nz77KuOTn258+x0cf2UEq5CXnDHUaebewfdPKAP3GsVpAUQtgbzjDqZ+mhORXKkjF3h6JjaJgzruJiBCAePwfSW+v01pWhE1OSWRy0eK421tkd8cM610iJbb9Ri9uxutd3GqGYxp7wwS5nNbKcF6GfSsOZkqsCcYocSxFiCMEIOJod8zGG3ac/PglcEY3cm7XbIF/JiuB0EHQRugBiIkDC2ChYskE1FJzu5vXD+oXO/+MkT/Ti7lJaXb71lpzVdy3kZJ1lne2TObtGx+cqZbH0ow2nSkOacK5e1JmMMTQFCY7IGvKM6EZKp1atvUJUFIOmu89q7Pj3zOeDmZa9+4/qlTVVBvFr2Tbisuu+tY94a1TcfmD9xdmuu08sKm9nffy0QSSQdOrw0WHjJo488cfMdt3psuDWzJmEUEk3o0fu2yMX5tTlRsJeG0BIm8QanU3FGKpv3M1uOtwVsD90ACg+20HZK4kDsxqXO+7aCc4e2dmryi5oPYG6AJQnWYapie5YxxiBIYIBAAUydfBOijmzW017XDIzkPV8YBmjWK3ugC22LapzEsLuuo4R1hDqpspKRCxmCddOGu0a6OfnSlZmdt6EVsXk28Aoe6yZcagJjxYxNExJQoaZRNlkWQ2obOVvxLAgp5VZzrKfBJnIlkTWSoiKHnZkN7EoPFqhpQJhNVFDgzBk1Rslx0/aLre2SLjy32e0evfVgHxN3DCh1oqlQk8ClMW5OVdr6sUttjDYCEaE3OF/gMJqmtYWDHOqUPIqJnFr0YnLME7XRWgCrS4cO/Q9f+90HV3uzcTVswFp39QT4y5+IhKpJS3PFRz63eWC+MzxZL/RzAIDfu9SFyIpwpywOHTn4zKmL1x0uPrup601CIwqcZQBWWmGp9DnQ21e4WITTE7cTeVpHg9RU9VbKWi7ECNgWfFetwTzHJnLbksbkeuPaSh1M/wjmfdvzZadfORV2aTyxLhe03rAqqip6FSCOEb2xPoI6bhrGdjwxQ8KkZsJ2uIspJRBsBAVsqg0ggUYI5AwLIFpCyEY+WUNskbwOFiwhQ4UqEIJmxqikIofCiDdZbs2FNg5jNml0MgOJNooDEZPUegZweZZ1iTeizjCzgGxyTsmrTJKCBULMHVsfA4OAaRAdokFadGn+tsPDI2t9rBlwKATkkqRRBMpVYxq3/OhZmPcI7CaNbs8Kdey9yTNM0cRIKoGcZYVxAhFQJ0AEoGhSjBHy7ua07a8u9Lu9T37y0Ztuug7gKsnKAFz26K4KWIfYKWh3e3TL4W79oe3MdgC+TGeGyHCSQ4dXn9t4etDt/vbHJxqNSQ1bcswqCYIly7OUbU7qpW67UuC0obaGknQy5hhLgVxJ0HckK6nrsdNXr8hBU6tRoQ/WOLW5WGtLi94QCceWygw5FB7aJEg2GSOaiSSVRElT46Jq49yUvLaRbaYGgJMigMuVxUS11hiPoIyIypqI9kbQ1EZxLhpuI3Ygpmlw1onVwIKKjUpHODbeZrFKMJ1Ck9RgOxqRsYSITqJ1bcAyItisFxREJ8Y4G9rcyCS0iIgaDVKb0BNKANamdaIxFR66Tr01okrKa/OUUc7qpk2qRQ1Sr3TRFE2TwsyVB2M3l+em1rk2M3WbXBDlJCBIlsmoJe5YGkOSELGqIbPkc8tguLUBo/Hvebg55h8+c+rCG17/ChGmq2YTqMucmdE2QBM0Ck1mk8XlY9PZM71O9gcdbSyFlGKI73tCPnEuOMOsATmGmjHvODIoklJ4bmqmU1jo1DljFMAmjSpi4xGArFVXoOmQESLMi8w65OTqBN55BlNw28k4WFuLgDdmzIbQlWRS08mzljhEo5IUAYzRJKRJjEdK0YnNi27GznFgv5Y1LTStQoxKoJhqNrZNwhYwOSAWAZtJNwvKlDnwiNXQqA1OJi63EYw3krwhDpMa65QmU4WkwrHVzFLjjbNGEbxgLKkliXMGglqvEXNsosuhYcGONwgpNQjOgYGqLlB2gQWSMqVJUkUSyB0nRGOl7hUWgSahDUwhMpEoyPmRO1TqwYW0vm3mct1qmRk4AWgwYKISDgyi9iyNoFRMygmgJe+5ipJADH36Qtxuyre+9WtUFfFqGWOCy6n785vdNfHCaLq5OVFGZ2EWIv7BQ26q6g2cGM391MMjRxiqFkPEpsUsJ2fbIADYmc9Sg6PgYmu0EvFhMgpVhYAkiGoAnEFfKrbgLQMml9nMdJqQmAMnNK5HagmaxlpvEFQTNw31ywyScmOcg6hRxSIiOCOKAFEhUkJQRA9IkEnTNBVRbk0mHI00KqjRuhAFTW6Fk2ESj1ZZQy1JMCLV4rwCM1XBCJIacUaswIxNiIAiogrqocCEJVEiRgTwFjza0iSBDAmTREgWQIRsxzbojLawkoedSONGLSaMORcGySamQH46Daba6WraYcz7g4gizgnQhMjnVhJhE4ZNxzo5XJAHuDimjCWkFIMxREmBWKeVwY5agyZhJDJKWNURLYiacaNZTN62bnVhcZEZzNUS2QEub3RXANiehVmTdkYTaym3vpk1mr780aKAyJe24rsems7qgNMxzQI1gUwutmijOzzX3nqz+9TQhFmj7Qx9RyRgA81ICS1m4g1qpCYZsA61BjQNOG6MgZA3s0N++6ZlPbFlztdr0Om0REKKRY6xcVlkcWAxo0bQghAQBBRgMEpJCTQDDyw4GylMsSAaS99ZQNAUMXEe0UOIhKiAmtAoiTHS0MwxakLKYiXepcRYe4cEKGrFjGsLLROizyCRMY5LrwjMrKog1rZGe9y2atllTZUsomhmjTBqQmcYRGwInHljCWyMYhN2DBkLBKJST9NRN/wLr5TFTB67VP/kw4zZWsdGFS6IXA5NxUaaEMqTI3jdQTtx9UJHU/RbKSqopsTi2OGkksSyOq/RmLHaDEnVR3aaFa1JCvXFgJ86U3+7JqArX4T0i7mc0V0RaXOSWISToCFjCQRCDABfZtacApDiL350dN8ZwUkd68hMYItYlGWOLz/Id9+QP3wpteNGQigEHdA4GF833AoYZM04stur7mWMQQQAY4ygUGxjc+FbX2q+/1vv+en3PPmT969vN7ccKDVQ0xoHrmAw1icrGCBDSP2MW4JYW7UobRJRRMuzaACSWEQzJoAcmxatMeBD6XDORQWqxaFQ17aWUsOOtHWkk8aob71XQxyCI41ARBY4JesMooBl60GiA2JyBoD6NlWcMLMZmhYylZCm0RGKgiC1qqDACq2QWugUEBqapZBnjTVlWOql0SYnrcEH4bsGVc/QO77x9sMH59b+/cP/7CMjV8xFkiAAaPpzWT0LVDdntjrpeBz0uhdmYaEMEuLW2AfxpCwqjDRreROpGEiOPGu8M07M81v8cNYXyE5tRU5s3TWrOwAAbE+ayDprg4Jtm7oJadwCwJfpvRvU0XD2O589z7WKtVlZZtYcWcGlUg4t+IM9+8SmPLHhGUgFPbQ2z3HoQkOElOUAhTaYsURonRoroCysMXUKW43bV1yX/chff6Wb63/9a9t/+6GHep1ZoCwwxMgd16so7cyiFwcx2QKpCE4IMw+NoqLPbTKYdx2ASLAsyZACEmXqSY1qUoqJHIYusEHKRKDlSiWwTqfEAkDJoEnsA3PhNbFKoCRAhlUFjEplNLVKOGkNJKkMGXVo2WkMNvPephRcZhRAmWOjWYF5Fi1HqzSrhblWTs7bYrEYX0ymqoWUas1L+PT5dOOyP7zWBbJvfdnyv73vkkgvJMVEIfPdIvk247qdjtzHT/KLjnn2Wd2alZ6qhs0RhQCkUYgUaTKDoLK6VnqPk1o0GSUFNRhRUnhmvRlPw8J8dtXMlwG4/JMINqcJjEvMRNS0YToLk+rLtGb2GvqhlbzA+RL6GRTWH513eYGH+1lI6cGL8ZFNHAcjLNLykUMlWnuejasaNGRBvbZTMciGbGJCbiJhQvJRWDhFtWozQFvVfjjLi3nTJEMmSWg1w7Lb4USpCoHbWKfEnUHBa6aqCxqjQWgNa2Q1hpDBQAoJSdUmIIUkplZtABypgIUECpkGYWBBNSDK5vmxYwT1vhKEipEJ0HAUAJAWowoZJGsAyQClGMEQBpsYwEJIbHPDwLklluCtikA7A8pibW0zqcos9nvzkHW3Zsnl0k4rndRZDqS+tdlvnti65b88cM9dN//IO5/M/cFhBSv9uh3PBjmo6xhPqUmmnj29PXdwQLcN4MPrnb7NBvmmM+3myM8maF2jZFAoTbKNduQXi17HpqSTYBZLONiRqg4LxBd34sI8KOiXqZ12hbh8uiMigOyOqtJTVpRKYwCy6i/uzD7/6O9Dp0x3HM7HDAsdnOuRE64CrTfmgXOwMRFF0KAqCu3sput6T65namqNEqNgz1FmXE3aMggikaiD8bZfzquJ+Cw7cWr4Pf/oN266rvefP7wNnaNinPVRxyO7M0uH57SJZV5Qaa1vYt2kNNpoCsOusOxAVS0lSQkiECURzsmqxlihonfiDAmDaivu+b1DSClXryCqqIYR1RsAtaiqURkERT0qqAFS0EKViBpVYkgUFSEjqxBBIhOACgYRTGKwTs7lVkxbK0oV0YNp45GVEvNyN9q2Zh+ZySEN4JnH9WUvjRMV7J7f2fmB/3yKmhP5wmG/jCvZ5HgWP3VhNH/LwevmATM8xZk0YToOHztlvv4uftUK3HfeVbQ6Z3e8VehQ0yAkVgikUINt1ivTyYp+NteVuk7e5Pce72xPwoVdvgPgarL9skZ3BMCtqjYaOrkXVQVJdb01/ANKyQHsTGA8hXsPqCSYRHlmVy9M5MS4iclyshRVVSRqluHiIA3PtmqctIJgVZWDAgMQknEpEfVKPH+RFufzubI6b2XW+8XfelpbhaUjbrUM1lAz4ZMX8gMHrMFWaNYgUUbeLXS0qbNpiJp0kpRUEVoGJctkRcmZNggiZQCETjggKDAiWVGxe+tVVAAIDYCwojBqUCQUUgRQSQTIgmQIIRGCyZQIrWpKaAmJExCmKMYyeeM9Sxsk6yIhpwCC4Pw8Sn+5FOuCaEwyayEJMAp6nwDN4SP82IZ+9sH5F788TLuz4aIb7Qbf53LpQB8PdeMDH77YP7JUZAmos9DzO3PVVrC2aae+/Ngp8/pb2pce0I9fsJdgYWVxalI7GUlMMKyJVdAmSEYbTjLtzdkNLR7fla2GIaVnL7VwNS1lgsupOyGw6GQcMQXrzKyKMTI0sQoMwIi/eyYKAAj1LJ27VJ8aE/MUxD2xbbbZQEwSrSCBpgiAoBrjodW8qYTbgOABQECb1hgy2ihkCBYwMS0sa6L2049md964eqDTdOeCvQ4NFisHYr8TJhvx8aehf5CLTqpZvEUVk4RYdpqeEllrmRUywy2jJvJWtRUUsqrYqIoaAyAsapXUAVkFQ0ZBRVERFGJo0YDxlkLa2z9KLImKYUUyhlBUCVFFWwBQNWhMhgqgPlNgt9CHJBy5ImO6xopi5hQEIagpknOX2mgSctBWAAALEQSrGAvred6HW++qH/2EDn9j+e47y0OLfPilXQxzpuZLF37jqUsvfPVdeWli25Yd7KJM6s5OiFAJhnB2y/5q4j93S3z9cf3ExXxIiyumPt4djiehV8H61KkyGAsaC0gDbsuueaYtnp0hcPH0Vvz8WvyrJbxf1rZ7G0IMKUXs9rK6DnXNoNo2Lah8cVtGFQj1mUvTM5sBMHt6G8hASzCdmh5KacNuQNnbfBUIoty0TBcvVRB6KALC1mKMNCXEnFmV0Rsv1oX+9YPpeRl//DOy2s9Wl+XgcmCFZjOdfYQ3FZbvpgNLmJoEjpKKKDkTOYssqsJsBLwIkKqIqhBBCcDQsOx9oqKIezvaABJQzQwAVpQZMQMkhGgAqEEUrwZVEAJbAmBSETRk0SRDSGiMijJAhoAs0VhidFwRIICSYVCFJiUbjDrkJGokYNQIBpLubY5nTQOiSgag9QqC1O/ae1/ZnnzuzIc/57z4XtZQdjr65QO9V33dvbcf7T51Lk08GoPemBuXeBrNJcRqyj7heOx/88nqa47Zrz3sPrMtG3U2wfnl7nB1Hg7HdGk3GgdCaI1d69OzLRtrLAijPLkubd1mRXZVVFQCgMum+173vE7Myr2MDszliLA7a8HiThWUAe3vLnnZuzTPnKtmDXCYOQUlaloipCk7TGRBIhhklsSuoH5PTj1VG1fq7sj0wFkTQXPH4qiJBr0BkyOBIbNyw0FxnerMqen5pwgN5LqjaPNFPXyr9LpQNU00SkxeQV3bJpQgaAGdShINCgAge3V89zRmMSgKmEQF2SooRCG0aS+P2gpBEYGBlaAQEoFExoCAKgIQGlQFYhXHCKx7BbLRAljUhEZAQQyjoAIgBXFGOAqIoTwS2EYhAwigmoCEQUVIjfFSIdqICsGkRjQmdUjW6/U3wYGjqZnFatwUGc6tzFbLi7OWT8UZyKqrRUtFMnk4Pg+KZpOlqVpjaGec3X+qfdH1o5cuuUd3ytNj3JQccu1nsJi1JrFh01LYrsl7kwkENIMstXV9en12y3Gnaq6S5Mxlje5Nq7MZeye9ssiKYlY1LjP6eyt/70k/qeIDTzW10G7yuxCzaKsEBlpGGxMgMCiqiggcHiQOemFrhIfnqU1QCHljCY1RZ8U6DNIan1zuV7wHjrtrPTd3exgHaqvEVKOLRU5WcpxluZe8DuDIWEkBUBCtt60AcvKEIiIowABowSlFMAxRlYjBGEKTEB2icuIMLaSkFpQgRfYE5BMnMCTofN2ygwbYqnWWAgsSOiutIAP5pI0xRCKByVhJiF2oneEgooacFVVLMO2bsBPIZBiSImkOipJYyKGisRkxgQzV9n1eABhMNdg5mxSxjdDqinMUIZ2+tHWxyg/f1Dns2q2ZU4GuxxVfztrUDdRdbZ5Zz+o2mtxuTIqHTs1uPRBuXHADByd27GZrW2k6NgtCPocDmSbBZyvbNskYMzC6Xvn3P7R149H+NTdnZk/oUdM6Y0pICNQp80mlna5ljiGm3Pq9o/aOfPjE9NxmO79QIHkijKmJUgi40rRVay0Y2CtdwrK8ZDYvjmPbGAsIwZoiIwwFSkSNwIq+9ClWQYk1lN2yU+/sxvGs3il9vP74/JEDa3Munh/rI+cnMh0ZaSkBuAzQ5tgiGde2aAwLgNSNlAVzBcRJ0AcVcMEyp6Akyt4nQB81qUhQSEEsaSRUSWTFOU2RYwRxWUyaUJCTQUnAIYmxjKgOxColxChKBHUkD9yQRA2EDICoSMLOpJZpzNjYBFEBLEBkEGUCjZYscg0KCJjYbVsxaNEpWuvUE8mUg0SUpgnV9DVv/8HNaO9ayZVpI8zmSzLGtgnmitizcn7XLi7gpR3DCY03G41tL9JNMjk6sLpQnhvrVHMAXSnDnNU8x1aM1CrGWkwbDT+TzG+fqN/y3OiG40tfWK12Zblc0V0VEEd1stJYiwDQK8tLFza6WaedSdU0efH8li+IAKBPnam7pUNE5eawiacjJE4QqTbqjEgEQAUi0LCwgBeeGEGzrW0rhnOHzoo3VBH0HU1ZKYshcQ+EHDJg9N2b4IHvfIMeufX2+YL6nWk7mVy6dOnsYnVul3/hgdNtlVQSSVsxJmZvLSkASgICZ5gKY5I3lFlbkgFwxoFBVARR9B4jK1lDCAaMEw6cBNAYJylmGWf9TsNbmXOo4BwhADMjGTBU+FzUOMcgjkGdSd5ZQGvAoglA5ZyNzltlEAOSJHNWVbsFzqLPQAQhCjKoV0EwNYGVJnIi7MSYQmoNwkRkgfIaZXvUXr9U3LSQPrC97bLBvKeOtQ9d9JPEh3MWYw5Stl6lTum705hbrdgoKEQ3BjwzRGZZWog3zputgKjqLQNxE+hsY59re3v7CquazHIT4bc+O/0fjy8+vxvJlebyRXcA2J42YsgXGQDccGju1KkzeaaTKtQt7x0ligh6cWv4zIXJOJlO26yVYStaQ0SgSVWDVWZFUhZARANlx40v7fo+oaYcoQK0hFZmmSnYoAeVFpczEFJjimRkMtVblpb+9t96c5s6F8+d/8wjDyWFi9uTuY656diyaLPVdvPMIYQ2UiMaU62MVgQJEQky19U2Ru13C4OxiWQy61NEAJ87h8xC5G1soslsz1tEmTXic9+GNvddg6muZ1luQSQHG6wlTESWpDXWNkHy3IG2bUsWXMc7dCiRI1NmWwQRZY5MxiswakUGTW411h69dQLggFQZCKQVUZEk6lwjHECypp0m8ktdiMob2+nmW478+Xe8afPHPvUrT+vFSu44kJdWUDV3JqHs1txE1hiXejQONqgJnIgwNzJtdRMMA+elKygkmznAnRlMpXMxSIiqBnKNmDiKzqJ//xOzt7+uWuwXV8PsyMvadh/OotRgeggAR5a7LVNWzLXNsGkT7N0SCkj6mad2Tu5EVwKQbWMzqqThJGJAcW9TLhKFxImpV8YWaPfCbu/APAAQJvBZSgROW3alRJt7AZSIpVNSXd8lT/LJh9dvufP7vvc7v/abvumNW+fWP/iB9x89fsAXnRjk9mMdbwtNLZmSJMQ6BVNmZJXYWYvkAJJ3c+N2Sq2Q8SFKQi19ySAYMZGUplQDTVIJjbUdshAKRYim68nUbQjUdU6JjEtRolRosk5ZkO2wMDKHkFSy4NRIJI/aRDFItgRjm9iIRoMuMDKaouyDJk6WIOy0Nc9wfi5XzYxD0qau0Nj8wOqApW0bbqOUua0rGqO1nLluYXUC080AcGqXs/NNZkNp3PpG3fHUzSKBRpGyMCaErtcdMp6UBUVcRysKcTRxSerMKkNCawPb3ToEdpaCANRgE0JEOJ84Dfl3Hp++/RUFy/NbBV5BLpPue2+znmoKseNyAFiccxuVBEVFCjEBACgiQUzNA09OB52+xRFhMaph6mgaclVhTXtZEVVGNKBpvkfDLZ5O0qA/aBtoIcsSS66tOjAkCjmlDDPi2KjxJd0zyJ8cQmFuv/56Tiq/fXL6vvM3X9p5JLv+1k7afvjXfuneN327GugSRkhzWSd4HZSdyaziJtUQQ9UmgYaqajzjNiRFRzhjcrIdkigSELUyjhG6OdSzmaNdRlXMhRk0NVG9UosADq1ArVBimiXMyw6hNm10SlGY0SgCR1AkStNKUISMz5tQgwQQk9BHVmMdU6RWlQKRA5bc28AkPAXMAJnJzec2cQwhClhgrCWQgDJVbbqhW33wAx//OL68cPeEhFtT3GVzcupmF2e3rrooxhoUNYnscjFh1Y2RU0WlaEA9okCqao9e1EBE2WI7RgfkWAkMsSgROoDAHA2979HJ21+x8MVDK1eKy3UGCAAwC620ESADgK51qejsZmlOqyQCAKJgAc6sh5PremSZBO3muL1UZxdaX7VRQgIgEAERQFACRAOl7Fycmdxnc1n9XMLMo8WOoXH0TQtl36TWiY9hhopmWNBSCdzKsZXqP73j1mzt7j/3b7Yfao77V7/8XSFd15nceDj++C98MHQPECEoF+QaTt6UCUNKACheNYJL0hgFJVJWa00SFE2kBi2BsmrO2iohgSAbQWY2iACqaDxYQgYLPAU0SERGEIwOSZXIRgqEzgGoCFnDHBVyRSWhVpvEDGjROlUlAEOtsM0LF1ojZKzxYayqQFIUmSlKH9p2vQEh43zWClgiwia5TteAGeATgZ85X8Hq6qCElRJO7rS7tXjUMstAxUObyHmWRpsYtRDuEAwJSwRRnIAaQI3W4jSqB5BZMhEyFEkKqKIiFtgaAnZ5IZ8+reMJ93vuiifgL1t0RwCY1OHs5u6dt3UBwFp7fKHDZmzyvG0ZAEQVAB85NRxN6pWl/sbErs9wJ9kkaJKAoKrs7WMGAICqkjKnk52ZKoI3cVKz9irNLEOWc4okCoCNalGpQ7BtHU5t8e5kdt90+e/+yk5enLn/sfnA6cbufdvYefzCDRt4164fuO5a64us7CDFnNthopZ9YYwQJ4i5I0wmsSrAvNNh0yS1DKTROQ9oDbPtUF0426JDkRRx0HFTVkU1xgYhj2a109RilH2dFEEdmAmzYSi9IllPbExRWBbiOtmg6lPYjWYUENTkpdUWjIPcYxM4z7Fv0pQ6gBiSJDbGm4GJAgZVCE2JwZKiy0unTkDJqlVEZXCsuj5NLUcynVTHuUwmcTrni82xVq1pm7YsbVDfLTXr8C5lc5IwAhiHEg2TusBgTYqRfAauYkWDhimJGlIRi0CbDd8+n87u4Geenbzu7lxEzRVN0Fwu3RFCEmAjQa3PAQSNOTDfKd1mhn5cP99VBYCPPtW0kVF50sAsUhWEwYAxwAywt4L7+WNJEYzh4YQ8VtG224F6zpCAUiNgDI4ilULzXiCxjdUm9Y706Vg/kfY/esmfOMex089tvbGewrmHzNw23XPLIX+DZgVYn2VyrAPeG3ZkFUVkztsGIEPI8kJiGKekYFcLmAUdseZJZypt4ALJZ/b8NBWOWjUGmtzBWkbb7A3qwS7FGAO73AJZ2+nkDqKJ7LydhKqqwdi8iTpkdBDmcg+gk2RMrLzPIziFOjcUhWYhGIjg0WK+lKtF4QRZnqPAJLEB6TgzS+y8VQ11Y3JncuLMeWe0VnGIGUGrrk1cVeHEDM8njrNwXZFZY2ezuNuoUzuLZEnUQOROaWLVKhP0TADA2ogDj4YM0CS4CCkpMAATIRLutUwVjSFtm+2UPfBMeN3dl8e1P4zLobsqIOpWXXchAsfSZQAEAMdW8hLzcWhHVQMAiAqQPneqnS/LmUoLMGGIAAzCaJQYolASABBCQDAEZISmre1msUkSWHPDgoGAGa0BhZyk2W3B9Obb3XMrR/32JZlfWlm2Tam0OpxuxNniyvaoe7jNX1CmU716dvddC1Fd3VIdIStkrS+ZxyaACghhySaoGAdislQlinaKttO3cVZr5qaTMGviCHBr105a082DcxCSVTKnLXjrmgAX6qZjcKMWQtQUBNrlTjFXWFUxtndhWE/bBERjhYTOh+QMVpygAbRRQVUBDXujXSsEGBW8NQBqkMhIhKbnLKZYIQRhjBqQYlKL4i0jppiaIrMkVogz6yC1XccLhb+wvnWs7y+tXzp2/OhWHZ7c0d1oclRVWC514AlcW+QkJvPSGM4qFMNkkbtGxsEDaEoakiZvyCiSAFiDKUoa5EYD9CF+9nytqnSlc5GXrfeA1VQ9xSqabq8EANW0VJS+SBzNXoVYS7K9Kyc32q85btZ3kNSlJmKyzoBG1qSQQFkBAVBByVJrTZztVGap72ZtspYKj8Ykg1YxBLCuDeJiDfMd7GSdamu7GCw+emLWKZirxNvRp6fhhqWiZFGrl7o7w/iBRzGBolWnLIBzZcwMV0ErziqNmcN6GoI0wsYoMAQAhmwKtDdLMkE0kBRohsaNLZFEMBYpoSGgWtWc3yVNYCAYRFCMiU8n0UyQVAGtoIIFBWOSqJsoqjLlii0lSUAArIaAjW6iNwhEAj6ooohmBICK1BhjayUPYoEiMyAiSoZqHTiyW2P0UNXJomqZ8S7xzqw60oVLJ5+dP7S2VenZYZyFPGdNSvNF7GVinCeDbHi1G+omVVEoMDK1RBhcxyoHbhSIMkICVVEVAQNoDE6ieWKKOdeXRmVdhbJzhVd7XJboDooAoeXNUbU+rJf7FgBEuWrA+1xdmyMDAKI5uT6dzmaRymemtsAwbqlhMBbIIibTcSGgNizApKqeQtumppLBgU6zPcN8XsBodIIqJoGzgNSoWmd2Zk2/16WdRofrd62unNnK6mlLTWwubsGwR2uLdsxVZynFkWmNOrBgHXFiGE6LbhGzTDnYnms5NeB8T5rkvBgb2wRhaoLxBffmkENsxKSWkUxKbQbCPk+p1cQYQQA8oQlYESEEFUQyFiFqNJFyBFUlS5waJjSKSkGszYhtAjakkAgYyY6ZMrSWE4ti7jka3OsWkAKZmFxIWhKrJMyosKAaZykHoFZsV5oopKTdInYtzjnObMPT0ea53d7B66bUPfkcjRuxGZNgx8bcMzvXK1E1OWEURUCR6JDyjswbQUyMthJjrMWEIKKWDIAaCMJOMEbZDZRGmB/ACzvNjR0HilfQ98sS3RUAdThr2qpuwPc7nb3cw3TSLuQ4niTzfD5WH7nQTKex9J0mSg2UAI0hVQEEtdQqdl0sGt6NXmOSwlchMYIWrj4xM/mAuZHMODZI1gKJopI2tXiTQ2oHa6vtxqWd507NDQbza3Ybm+l2S9sb7vBgRpySpaCUJcScQ904hwyOhBOMQQc445nzeex2ddwqaoB2stDBHUwoLjA1SQA1GUiZTUkS2KAsQVRQqRQQUqgATaakUTEXZUQEBSAUhArUINUGEBFVBY1RxcABVTwiJUNoNVMSSYiI6nGxlHrSSjS1L4yCFUmRPYJVyRFro02bnFpwOUG0oChc5DQH03mcZdLM1ptJEy40XOVLg0N3b81kZwJtq8jAAuq48IDOOwbimFsbyY3bWBY06NjxFBPwMBhE3ZjYGTuxpJLUECDuTfq1Sla1azgQxGl9cQc/c35245GeAFzBCTSXJ7ojgOxU1WRcmbyzOJcDAACPZ2ys6XnpFntlItOJ8zEjCsKpacRYg+A0Rip0L3HNJQTpu2aBeNgKOhvq6Jb6qaraCWDPAxJCYFsgGFX2yIrmQCkCDaskxrkDg2qabZ5ZT20L0Noc661h0YZ+mWKR58RdS1PTpGDaKpUd6lIKxMh+R20U2+zafl6zmFmdtI0T9hgSko2hriagQoaAIYIja1BUlYCMOlCTpyYaSyQgaLBDENWGlISwMElBmDIULRSyzFYpZdiqGGAGpDoKtKmZjSG0rrNo+77MoI4uJWhU+kaQLIGisEUrqcnzvBVhybLU+kJaCauuWtKawmx0qWLhs411ne7YrE47mVsooLXD8wlZVJ2qAgMDFS61aLHVrocZmI5Xa2k+L3eraqMCEQE0Z5usmgCiNKqkRghUBFUVAVVRNYGOhFksMTUin3k2vP3lDGiuYDbycuiOqABmNqnryjjX6Xbi3vqGSzuxFUOSSmcBQAWf3YhFer5QgQIAIRFxjISARIDaKUxhMQoWEYkoB6fLeTqzg76LaJBJE6pJSEbEsAFCuzOLmXEZpFkKE5N1suz6OzuTaahH0x3YamI9xy7CRI0rXePrpw/OHcKluWllxi1jTkVm2pl6xwc7VSt2VGULRd3pljvP7nBji35PxIjmZjK+YWFzzjQTXHtq0lUGsg6Ml8TRaUqoDIhWI7NI44GtJYOCwBwJyTjHRlJKFqCwpjDaopXARlChuWV5e/XQ6IU3rXzws7NHpx2KbuB5t2JiRgKrYgBZUQzaPK8TQ9KBn5Y9oXYbp3XVtKejzfJO0Tsgnfke2SZZbtFOQhhGFFAEYUOWQEFswpy7GaPxWR6tj5Zclcx0JowIbJOS9Wk6ajOOFdvYctlFZKn2pqEKA9Je+gyNBSK04DF2M/nsGW3qlBdXMvt+OXQnxCaFugpbVeoNzCC3AKAcd2czFEKdGAIAqGs4vaWZIyTvNRCBs7ZNRltWQ9YgS9ppNWgxF6cZYxJnQDFW9UyxOwDjWBSBVFBV1WiTjJc0X6I3rcGkkoGJC101mmxJK65bUVYPhwCKGLs5jXk+VVvj5gKlk8XC6pHBSut6WxWRxY5OqmAGRYIS2+TrhlUkgdStjcFyaG7qXvqpv3lLkblPPLz+r94/feT8wGWomBCJWTGJoMEmgaACQY3shQCJpSYQozBuiQAEJpGM5TGgQjQ2ScwsDA8sb/6Hv/2KtSPHf+djn/36f7IxLY4UsbUl8UhiZoQIk1pLiGkqmaP28FL0k2G9ORRTbrsV1ymzTlbVPJ5RPQRLHFWEAYgskRrVoAgoKfhcrYeuT3mWeWznTAp1utiaXkmlhBTqKvrtqUFUa7OYYJA12HGTOjZgNBlQAWdYhcgwGmZBACGMiXa3+YlcT221tx8prmBv9auu+96tPK141tTbKV+e73dzCwqgdGEc22AGTn1ZAsAzm/HUxbhm0yaYsdjUQEZgrJpECsiSFMFQ3rZTzq2M6til5Hl8MUTokRUwAtgqMqBTJBVrDAnBbqMezCBjn0npTGzZZF1vZxHyfpe1klhXKbHPE0hx54vvBKcbm+3u9mjj3Magu3V0dWU7dndmc7ZJmWkN8aw2Al7RmEYCBENFqrf/xrcfePGLbwUwD5/YPnHukh3MA5EiKChaNEAqiqogqiCIhiyCiLAaISQ0gIogEMSAGGOIFNUYKAZpOkTx/bXVHjDfuNpz2RnfTw5FMBiJyEoW0BkgHE5M0UtH8kbPXxTfzQ/eAs6MpmZ7zDRLbQAyhJlvtSURdACSOBlCAVB0lDlGcq7UjknWxqNdmYkH21kiNdxGhsL5rDC5g9GMtqJi4mBcrDWIBSRQIEQlQhWUvXVdQAkIkBEZdBb04rrefgTgyvn+1Y/uCoAwqvnCbnt+ZF96Z2l9ttdDq1rYqeujBJklADizw6PhZMXINOSt1kkoqgoJkkg0e+OoDBJb15mbxSZ2OsJbY4rQWygrMEZIwSYwgEb3SvdaBAAETmB2gh8QoIlrA+yZFtFULH3n09g6C7NJpHxmoZiNJ4sDWl3MVlfW1B64cGLn3IkLRw6X487izjA7O87yXIxlTVHQ2awte4WRZlyPnrxQpGZKCu9/sqoD5VkURS+goAJGdW8tChpDqBhBkaU0EBKqD72MMkgNmlqhEDYKlhQdNK1mJg7meTYxP/Vr51502/R/+5ln2oi3L8qloVhQ8bF0WUQdMpkmLuahj9Xw4nCwenhUdKZTGO2kFCyiY0EgEQKUQAoIpEkQjXXKrD4DNIBOHcWFDvQLttZNoS2oHVWODbD6rYZEMCJylMjQkjpyABjJeITWiMtByUc1QugwkSCLCgF7i2TmTWyp+9Cz7RteDIoCQFekRXOZovu5XZ5W9ajJjh/wey9ase5MGwVjjPfOAcDGWLFNqeOrmq2mrqegruaEQKhiSNFASFr4tCbpdEs9cB7y3mFLZcFMQURIMQlbQ9aRgABCAnaIKiaHmqiucoWWuyZhKBED2egLaKFw0FZVv5NPCLlGb6N3wDEuH59buv7A6SefXOttp95CnbLMWSNictZY1rMdlxE3mncW333fyVBxntMnnmqy+RWOXhMoICKlVoy12CogKioCISKCJBKOhG1Wz9JMMyQVggSYAFrQpIJopHLDEFZ667/0vmf/5bv4qc2Wuoef2pT53FDbtILJeUnJsIkYHTVQNQcO3/TsWHgch8GCGEBIMRmTowEHSawVAVE1Fq0hBNGEoMkZjsaCVYQEYBylWsrQVIl02nhKrKgAaoSYMPcYZ6RkkNUQKCEicExMqNaACqAmREZ1aACUMluv19IfPLbVSgzk7JWK71993VUBcWdnOp1pa8tji3Zvx+C6krqRviOGlOcOAO4/U2nVpD4Bxox8H1q0uhNdQplZ24UZUr5du7uvq3ZOSFRSo3VNBWbOiHpCkTqygEEQTYGNQxE0pGzI2rbVRhVZxlP33I5xzg9c7UlisDhNZSdWkzBEa8XSXEC0pZMW8hRSBtOj1x3fPPVcsahV0zJClczBbqTSPHtR0hxX0ya2Xa6y3/rgU64zNzYLms0xWCQQVTCkhIkTOVQgVTLYGPCR5f9u70+DbduytDDs+8acc63dnHPuue3rs2+rBVQFVUUjkAUIwrIUCCjkkBThCGw5wGE1tsFhmbD0Q7ID2bIi5D9CCClM2HS2VYAA2SoLqcCUoKCSzKrss/Ll699tzr2n2c1aa84xPv9Y+7zMQlRRkO+9Eso74kbcffbZZ6+11x5rzDG/8Y1vRApSCjimpIUtlMGgMoOldCGXjXlaxOKnz9Z33nhYlXX72by+3Wo9vtk9eOLVF+Y6YfPA8dp9s5tunj5qdbQMKzZWwchmtJTGCpjcLFhSNkWklQ0VBV0sE9FxdNxYcMlwrvdVPere8nbfBSDZUIVmq96qoEmnGeeD1+DCppQiWZ68UykNzchgcoaZJZCAL8QNSHu48fMrv3mre6+97hey9z6ZIQA8eDI83OS8Wn/0XgZA8PFmvNx7pk1m62Uatv7F1wNTWxa72e2Go+VUbXIrplt52ojbuohpOu79Qzfjz72+727e86H2Ofr1ovbZWQrNMjYVoElzjzMBSNBUCZqHjEIHp7yeT10QeWyKmk9Xw/7yxqI1ZdTJo43eUNSn5G2MPPXP3zp7+6I7vrUYW7Hla49VFrlflra/vHHr5oOHGtcffuPJMrZH6fRm33tYm9FlV5XM+sTkPcZOaUx5bLEQuxyEcrbq/bF2KuWipc5SQZti6FdZlFRynW48c6/evF04nB4vnlyOH7xXOt/WB4/vfux5CJda77wuLvfdYtlz/WhjQ0AiVylaMCwnRu+9G5UtRzEs0SJLSqsOZOqJmtvpiksi0rJH24/dFlFDI7yJWZq4ALjfK7Ly2IYoGQRGb2nrKZ2YLKcmdMkRAJMlCCYEGLZIenK88Op8/LjeurXQLxM28567uzEQ6ZVHmzeulsdLvHhrBt3x2v1tn6d19qMFc1defzBcbCameOTHx9MyITzlm50/2LYHre9Rw7Ilffg5my4W+6vW31sMlGorUderkmReOWZbhe1EgYCD0ZwkHTMSHEzZogEIkDKvapHbeb7xIVrd70etky5Ho8nRvf24K0dYd/kosCi5S3kYx63Wa/NlB5R0+sKNhz/78slJfv6540ePs935blpbom7dzG1RJkQ3NXoDBDaaY4QpTFGjy9FSuE/MAM5ZyliapzB3mYCrIRJhZmNOSMUKnOnirH7ipdVx2vzsT3715ksfLrlst2b0LmuoZnb01mUObzFVIitblz0YOVXAFgvv1StQSl13dRcxTYXhq8Rd1N6XYTYuBnOLQMkbryuG9yY4g9ZjuvLcKnLjvnZutBRE9oScSQD7TXey2ssgg0zw5GoKdpaPl/XR2dWVHi3j7fPhQ3WZS3mvHe/vau+tu0siud3p5SftoqXvvzc+d3s5/+qNB3s6bq542vdAfuV8eGsbedzs48WvbpcrNokF6ArCbZmMobO9PXd7+Y3PPCRNFmlq03nXct937TjjYiis7pFNPbwyXM1kBkgRMkvzUD9AoZzMRaAZVMdWtLi1Tve3u7xas00ltwfNFAyP7c4Gx53T6NeLcfLFNNxZcOyXj4ZWsFo//9LD//rLN37Ndz3/0urx/avNVdpYx9Ka+2abRGUmhEIC2cwcSopkcNcuspjAMDC0VHOmyMUSqQhkj5Q8q7ZiFTbtTxf+vR/zy6tHn/1rr/TPf2zoT4bNtFhwHDBMfrKwZ5d1Gzqv6VJkZAAdYyp5UDpGZPcJA1Sipt2UrXC5tM52yRd3C1OJfa3DVTZGY80p74YG5yifXLLicpLZ0CJcRs3ckPA+J5fVkau+uouZsGtpLFqLDGnRVdn+vC4+kB8+1sW23T4tvyzp+3vr7gEl4P759OBiu1wuPnzbjo86FxJxvqmDG7t8dNwB/OmXN48f1q7qe07PnjBdNKwX5sHeKiJfTcVoi2640/tPvtm6uyngDhSr1i0C65T96Cjd0vaqGvfTdoNmWap2kG4BJZFqAZgEDxfkFillcnF+OS1K6Mmjjd1dxq4WlCOdrHw/ANltjWFkX2gDWlo+2G72BeO2n8aWFifluY+c/eRnLp6/d+sTz9+4sXx8MbadXDksozgohKBQb4SKNXmiuQUiWupEmhNd1M5ighkil56WLdzDh8gr3905TYt+XMX+9Z9549WffSu/9L3dyS1rddu6i3OxxemzZXM2fk034WNNJmOfFIwAT1StGC2zogmr5PtI/dJyZ5AlHnf9bkFdVNYooMbaajavPkwMRGfLoZo4jlPyCsqVLJncnEgeid56m0irgZTRPGQGNro1KZtFi9oaXeu1ounNx/vzy+Pbp788tab31t0JA/Dq+XbfWrN8ctKVLoXg3j738tVzt/SRW+lk2QF44xyo8nD13Q89N7xyHq/tF5WluS3zcGcRZ7uck+129fLCy90eYfCBAVt1Q6gNefIIHXUZKzq6clFBy6gOAREiYTRaNIdZSDSaxzwhZP+Ydz62zG9dpjJ1hsuafaTGwCr1yRZTLJdeY502r5TlPm7cy1d+Pm6Xi/545e1Dd7Hup9e/fP+//OnFMze6D3z41ovLk4y3N/s6YtcWgKnJBxg6y2KkQLJOpKE1tAQDsxERLcYGeEvWFgusFu1kpdNu1MXZW597cPbGJZa3Fp/+DcsbuQ3j1uTJnr/Xbq3zq6+9zcXNMWX5hP2EbDWFwGWhZad5oPUdOiKinPQYiBpx0jlyF63bNW8eU1jxyWmtpdZwPvQJYyU2zgVSknkAChg8Agkyv3WU6jQG80nnxNW2W++j1+zGIUrMaQiVxY3WvdFfbb50fu8r5/4j51f4wOo9dbxfyN7jZAYA8NrbV0fA27U8e9oBRYyHFxdff+tqdaKTlPtSAcDJNFrG1/c3vvYKFzlNHmnR1Rp773fNrqo/c5Pjvvk0WjoN5aOxTtPiMjp4FDCnaFw3H6tnpLY0222TsYFF5pKyGOFIVBJcIBKTh9jbbudTPlro9ct9S4t+WWLfwJJ77c1tK05jr4gbzz5//6vf8IvLe8/c+cAHj17dTvsthu3O0ome/4H88MH41len139qu8pXt2+kZ5996d7RhnY1LmzCoLGMHKuPU0c3bZpoDpLBpIkAa7/UzRteS0aLU4wXT56cf/nxm2/f9zGwfDY/9z04uTky+76dHOm5k6nrePHWk2984Wy7uGM3V+EbALboutSyYQRXOSxHAkWO6patgqOFjrq1pTHBtkNN9L2XcUBEMmOJCS6lKFa5cy0is4xTTmS3aDUKYb1otu+TxTguC1qbuqxHvhhqslICkzuTEYHWmplZCXWrq4cTnsl/7c3h9/xyzGqf7b2O7gL42tnm2aP86Or82eMXAUvQZ7+2+9kH6Uc/cvLBF7q2992gn3z1CvvJyOMjH1p+VGGWtBkCDCwxSlN95pZfXBElkYJ7209cdLYsE6ZB7OryZl9HdtbXznOehtp1YhcT6AlRHUFQgAkiFN4kCGRpm5DfOL61vHy04fEytw3HdSuou8Um06XTjuvOdvJ73/PJcbu5fPNsWx/1p6t7p0f79eLx1bC1NL1we/Whu9PjTZy/fP7WuV47f9KVUoCjG4s7N9c3u8WNYzOm4mp7IA/S0sJSG0brEaG231U+vLh6fDGdXZ1PzibPHVfPp2fu+eKGM3drPHdjfGbdHl/uzt7YbM69pRt+81MoqY5kTsYwKikW1Nq8hy+Ny24ycciWmy2KCLua9n3IY73Qboyu1obIxRpjipZzypNaJLOcxmarMlqvBg57UFEWQ8fskTV5XpEpL1ZTp/psSa/X9Rz4KbCFCXIBDquWzejM05tbfuXN+OHvnStN77e9x+5OuOvBVd03Ftq9m/Ph/IuvbTvff+KFe4tSC/MX35y+dBZwl+JqG3sFoDC6AwQ10OiTy9tAR6+cGprGi50tbnPXcopIVAf3KDacWhkUsaBnbLaREn1SljWjAFIRMbfVzCmN5CA259PipNOrZ9AHiW4aJnYLdrRAZ5UtRuqoCPva2cnJx08vzi/eeH375MHV0fHZM8fd/vR2SXhSO+l4XH6PnTadvaXhbNxf2KM3x9devYgkONd9vzxil5ETM82jjWNMHnXy7ZZTi5DlIy6PtDyJGze1Ou1P+3RS7qy2x0vuL70+ufraq9OVL9Xf493j8AYPuXKX4RKMNhiUoeN+AteLpe+nxdjge98Tq9G65FxI7MY2ojHTO7Ii2r7VSIK5p07qy+S5GLWP0GTJZIltaqY8NfOkvrewypxWZdWLFzWPbp5dQpEFPJKBgHuTRYlT27507D/zRH/5567+uXrKPKv6v68Z/Hvo7vMEjst947S5dbz46kO9eKsXRNjbj8bc5488s3zyuN67e+Mbb2xTC2u0tEAumBzO8EamWUYPRgTCA+ZELi5FjSl0s1NOtsg3S61tZLdM2bPsaNUuvFv4VFT2YxvW1NjB4QrSCSgEyUS4pEDOu7fG40/dTdPl9lGyVU65takUr5HgfbnyaZrKJZerbkhpKNUu9ut0+8Z+b/vN1aM3HyV78+ZJ3Lp57KtVOskX4wLPv7R9cnd/sfdpxGaTWpVv6VM7v5rlQyA5QSISkUpa340bS5SV1ktbr/KNvusXz/eb1fLxw8c2vjVdbMfWLydb6eQD7EoX0zg1CGZJJDWlLsHISDA1xJW6aDE1jTkUXbFQYBfciXlrTdbFVJW7vlqUXQiUM6mlDtMwMpw2TWMsYJDngAuS0jTJzUtmmynOQhunKJiCmL03FPKY+7VIlF5d5q17229MP/dmO761/sxru1fO6keey/G+gzPveRZ1fuVUXNYOGTeWJBh1f/5k03X84LOr119/uCi3fuyLzUsp2HrUJxdOr8imuSXVrIUDRGXsqp3Q6lQna3XiNEVDCxtCK5b1TbuxUoqEoa07LBxP9vbcTQ0DtkPdIPYtW9uP6At9ckaIRlEQzfphN3Bxsjp567LtUudL6WoafJXCjFMUpCLPxUcxtf5i0CJr6dF11e8dlw/dSnVs0+5s8+Tk8glyZTp68Z6tPoS3xqNLLdvuVt21OK9131SnUJVX5mxRmILLFZlsocWq9Df6boVVDFfjDpePH7wx7fd5sCMcnZZ1WZ/YIuNyb74fJ0jMhEDlzJy6RlmgkV0icxuGLltFal3rAk1yptKZSsrJsG+Ck80vpr6fvLgmdq0a6+idpugxGlQBshl9Ao3JmClDshLeouNlw5HRUroM26J3BsMowciIBGNESygtakzWar+wQQy1L7+y+chzBXi/0ff3MroDBB5ejcnsytNR2i/6AuBq3778KLq0uHu6uNhdwT7+N76xf7xpeShGs2GgWjQi5u7reYwNqXa1G1+81y1PKHMb99UrN3vA9l7eanY8ld1VvXPkSnbnKI9b74uXnMOSu++n2ouLri3Z7WsyVEg+Gc2IsJzrVWDAzdvl8vXtcOvUyqVtB/oKCo8IkpYH5A5jk44WuNG1GrG0GIcak/fM227NeytajWkcH42f+eKu92mRz/K65aP+9DivnumElLC68jWd21anEJBJv7uOcZpYN9vHD4c3sInipXO7VW+cpBu5mHmNSMNml1vz5aqh0F3ZqmA5gXkESyc0RV8YNU2R1Ps8tdIjlRX7XG7Cd5NPo4CO7rJsAHaxrSk8MmtSFjR6sVm+iiYiEkgLmUbPOSmQBUlNXnpmcaxtZNpbUiIkIy3kShGUwwY59jbKWRMrfPeopa++sf1tuvXfLdxdAPHwfFj1Npz1y25cLTsADy78K2fT99wt69ViO8Sjjefp6qToqmPaLpj6Vj1L2aYheoIKJQ9X3T7x3cei69tmWwRH22FzFhrhJ+6L88CmEnVcrBZvqS56HC8KTC26usZakzVHs8F3uaQNFzUis0VlKEAgYti07mjF7eNhf/NohZBLkR1OQ4SY2x7dUkcL34921vI4xokxiI1WZ/vSZQ5Rz4a8Wlhar/PR3TpZrVV1zGfn560ZLjkOOdG6WCwycmpDtAaW8goXIdC6aqe27th1XcnGyWqIQ3KzRRAk6/EyNlWUJSCnaG5ULZrjKnNWhzwlja6+pkJRhoyYkNsYOZ+kNi66hXy7dwtvTJZStJgCYyyISGEAAhCBoNiMRkvygJnkoYzSCOVkVB1GLBImuHdMUDB3CSDl8gJGRxJY8Nja2dWpPK9vPb6YHu8p5/uP0Lyn0V0AHz5phePlDi8epVQKgC+9evHmq/ZrP1ZqC4m0xQ+9tHr78kKFA6ZU9MxJ2o2Tp+UN+uWkcT/D5hp3bXOR1i8sd1+Btx0TpGa7LdTMF6oLlcX9sjieIteGo3KnB1hy2fWFS9Ebt16wg0KZcpIpewOQFTXltHmsuy+tsP96qx/xbpXT1TQuY2mZRLBGsy7thm4/Mmeo1ajpgSdCZo0ZU8DAdMTJwX1ESMx0M668X2NZIpqWPkIYh6ttA5qlJVKxZJEMmtM3aQgb6HBkIwjK5wkLEF2N6BaLTIfXlFPJtY8YwkZ5Kn0Epx45snmkrFWCsd1YRrQaMocm9nXkvrqlImoMc4WYSJQkb7IuwWOSLGWkNCsLQGICAaFLqQFCMCIlC1lslCxsmVizasykd5MUipIDUvKAlWZ8/dXN6uTeuvjVNq727eQ4vc+11ffQ3edP8XCzKYvyZMCvuJdgCcAXXr/iefvBDx995Y373WLxjXN89uG0yeu2u2DKfey8xrMn2oxTE5bLnIhpTK3mkHtelput8MrJIHNMcpirAQUGpGr9xkHmy1rjGCervFz2i5jiTjftm1+2fZe6aVdSbbU392SqhRVKJe8eVvvU0XJddpvBbpTj4zi7cDlrERIJY40QBYyOnG2x4tGy9st+khlVG1MNmY1hpmlZTLUOjsua2ZrGfbEsy625L1eybBHJmjdGC8gstVImE2uwukUIblBICSre3DpjkZMcJyxTXsEauz719NImIkO7lGiWJKSFOitwV+KmYRqSlLKlSiPFlKeQS4YqNrW1N1OCibXJUk7CAbeddfQhKkAyOzEH/4iGQYlOWhYDNcKMFkZ5q7WRZJ2cJJJhnKKs7tiTlvcaU6u42teT4/69c7+/q72X7k5A2F5u7pyup32cLA5Q6xde3Svrez508rmvvX16euPh5fbrj1l3tW0vT++sf+sPlq8+SOdDu7sY91s9GNiUcgqkKJ2m6MqSR7dHnSVLp2zdKMtdSUptAlJTwmRpv20DyuNNunt7v9yV04X1dkWs1ovSc19T7GUpTduRHu6NFmKyuhmVT1e3sXty1nb3jtfpsUZap9BcQQiAREQYEM32Q5v2KWpGV63V4FKW5A2J9NUVHGUwm9ELRSlwWKrKYK2GGhEyR59RgEhIgcI2jlBmpqLxIDA39/qKaNl82asvSckT8hTN4SHftJK7bPRFlrWpiV3mkm0T2I19TglUMd6w+jAKzQivLXpxVwvZucSmMCEnQgEIyA1RiEQKpNGo1jiLnZrJJYiT535RW+Wi0xQgrcMEs9IzN29ufU9aSAVMd/jozbO7NV6L7vNPRo3vnev9gvZeufusHDZMrBNPVssnbTpaEIDCv/KWsEzP3io//re3v+lXvrh5tSCGZWt7s9u3+fyt8vWzfVksJavL6XQJu9RpGa+GtFoVbC8D6/VLS7ltW3dchqEu3SxcHhJHKTXnBgWjjO3+mFKK4aitF7ZaT6k/6kzbVjmpy9mT73bWRlHeGAL8Se1vFr25HzyXRc5stYURSiaFzZWRsPAgDVNuRGg0N49MCTmBOZqEJtFjyRag4A7BDcyZpNUGMyGFUoCIkLxV+D7BewZAoSTAICDcyphoKLFE+L401nVmDfUL0rhp/dHaI7xCg/PYct+3scWYCxM6ttOehrisOHdjiphUjSl1hcmdvnerc+tjinCElJMIdTZDyYoAxNYMIZYQLMkNCbAcHhWQalM2G2mp9invojWE5nFoBhBGlJM0vczt/cv8zPLxPjbT32V89Htt7+lmgZfbqe+UWeC7m0drAOeb/asP6vJ28rZ/9Wz/yWee+TN/86pbLKc2tO3l88frL71tZ9ucuXvckiZb2XRSdNJPtzOGZf766xueL5/9+J3Vzbf9Sl2/vlnqOOWLwfbsRE0NGL208KgEh+iM6es7u3s83Gvq1oOlUjoyYxhDWy7kWPnmskUwgvsz756/qZ960IYPVrOFDVMNdddrekgS6ywMFBIIM6MM7BKSAtXmdCdRLSwZTHSCFkJ2RQQEnxuKmBAicwSpBMlcgCkJEp2ozuggqqkJzGnTmeXUWvjO+q4VtDF6pqSYpmhe81HhoMlyqYIHlyZYerz3o2LLHruBPTUWrhxNvhnZ9motiXRKc2O7u2KiFKljyRGVAgL0FH2PVEsyn0Sq61KrXR2rJbAzizAhOai6jG5TBTN6k4UYQygHonQ3xqmz8Zl17rpfBg7we7s3frTdL7rWLZesD1b9AsAbZxf3z8dPfXD12sPLdWenx8cX4+Vre+DhvlN59qXFZd0O29hHfu6k7adYl2a5LNK61X3uS5ZdnQ1np+tnnl0c53FUev28j11Dl2oOb8Qwcjc1d02DpWRdJ5Sc8+VlHidb7+Klk7ixyNs0tUjJ9ztPhG4sfKq62PPq7asXf/hu13+jPjmPDxytj/zyYsJikUBFKBe5LAWNc7dOSDyMmTQn2IRkmBG4TIOrSBkEEeYgDCYxTEZTNVok9tXdk7swT5HMhGAEEwOVBJk9PFkOBREMc2kT5e5xwl6F0ziZGVWym3fqd4Fm1kUdKoIJ7ucTfNcJNtE9aExBNXKs5NAUU0JlRAjWk9aC1ZCnfWF/TDMSkQU2E2NqioywXYssK6mLRfSCMpVrQWJLSFG6XjNZQxFIkeAL4+nJxdWDIz4/eV3+cgzyeJfdXVLo8MDI7ZWfrhZbtwlp2ScJ26vwPT5wG198/erTH7pdctxN7VYeWt09XpX7bdF2VzdXhoFXGy1WYcaFjTeXZSfKvE9x+eTJ1dvdveLlbn/1esQUoyWrQ94pNhvbblqt0VpCxcoMx7BlmsxLGXarXcoXl7ixjDs3IzTcPFI536sc7SS0aX3i9apO453FnVQfPbranNw+WfDBYMuFLATAhQhBCk+kmhsJMJRQYR5KDIDzLEFjkKyukkSiUVJiiz4JMqSEzFyjxpRMAFJicgBp1lgjjIkYm/fIkUhOk2XLoCUtO4Lcbz0XOH1V3M3Cq8NaLqi7NUNhkUsXY2RUxS7gYbkx1bY1FNKH4LTjuiJ1ZhJSEpzIXV+stBppI+23tCVzCrMIKTFZtjQFI6lEhLrgnkMyQGwpzCIxOlOumOGdGV4icyl+e735ajp7ON1+Fpv67rreL8neZXcn8S0jNLmb6p1Te7CtXnXzOJF4cFExhVf7iS88+Nd+z49c7tqj2qpzf7G/ufTj2D2cGpSfPbXzS4NYGQtwV+NJVfZgHzaMmqbXvzQ+913pUUW6GlLUaeNt2HB34a1aG7noucjWJuPSuW1GBmBPksq04/2pu3y8vPHcSduPPWIYRk1KoEtTde7i5LnV5tXHw+WHjz+QTWM0oaOFJAfA2fOrSEPJMjLCoDnVUTYK5lIiPCiiNZgBiYJS0j4OVBJPwZxMCLg7CRohVKYCk01jTbCONGMEwihr8k4xxTaoNB0T+ygtcobnwkTJ/KLlwtJFKnm4bJzQt+bNc2sORkNuIFHcXfudxRWOjnuzyryQLZJvXGBHoyUssd8l+W5XWodiYZkpNW+mgBFJM+3HsiEppVZZAiBdIlqSNLOSaCHIh5Y6Orp1ktzHfby7vvdLsXfN3WcA9ezx5mdfvez7RVfSstNPv3qe1R5uJu/4ZD/V6m+dT+XW8r969fGPPNP94CdPv/C18bHHgyfio/0nvnf5qz/R/cWfoUpe4Or26TKUs3b7mjBNdRc7bzhmit1tnt8/r6//xOXdH3ru/pcf1gdXyfaxP8dUA6MdrVkqbenlrk+CnKULa5m9wnIdlifT6ntvR9/jPPaP85qbWNjVmaKZRzp//cmNF55hfKk9uUjl9vJov2lTyt1hKnaI7maJOQGECQYlygyOmZUgkUggVAOgBWVEBiPc3HI2j5QMqk2Rc5JLk3mECJitTNWdpe8WNTwHFSihMLrIgKHVAZZDIpYQUKfSTw0upvDOolGPEQt145SZPYSIlJO5YggoLPlYGwBiVktWEsqY0ohG69rgkqykWLLEkLLGfeMurF9EgwxKRjPI5UjJYDIGp4wUOWcnLDFclrLCQzJIxsmt7xde0i2/iHT6aPvLEN7fveguVfff98e+/mOfG48WkBBe98yZCO261fJ//Weu/k//6V8/n/Lx8+urdvRyrT/6f/7y/avptX1hsfSp575Q8tXfxNQWpdQndWXMLnVILXCSrC6MHlgs0nO3Hm1hR9zfjwefe231qRtXr3+VCotJJTHftkzx1MuRSdhXAjEFSj/lRCqrzx87eXN/R2flueefTA+m8302c6CiBRCbNzZ3Pv1cWtd6sbva3VwvY/ukpWXfIFgQATqKAR4eymkegC0kmZEMzdtQhjuNBGUkhBbqMpEwNk/wmCeapOoNhrSk3AkaGBbMQTbUws6JoNeULJDAVogux2kfW68JsrJYhG1aXXe6HDmht9jDekR9ssFiwRVbS1bhAIhURgSjpo5u2O/tJCHYrM9tQKs+CtPeSgiBZoP63C177QOTF8OTjZW1dSXc0MQEmllrleFlkY2JampAVsgCkEuRAIBBmpktsLq1PntzszlKF9s2c1L5PtaZ3h13l0DD2aPhZ16tOL5VE8KDQZJNQMQCeqTF400zkPKl/OG2+wtfCKD0OTpXOSqLyK++HSjVwkYlKJJ7ETz0tvXZLKLjWUsn2aI2W/HW87VNtLr6jb9JbONobos+9i0ZzdYahDQNKeXk4+VMvJGCxkD36z5we93HWz/38PNnOj693ba7lM2jli775tJl3Z08vXp///iF01vr+29P7ksk8uDZXUxC2KE7xBJdOPTWMzHNvp5QQEQEcdiqxhgpZaRikwTMUIiSQYxMKmWShhZG0n2KiSxEgFIAiLCC6DgJO4QWZZjQdswlWam70ZLyxLFWGn32xTbWIVkkC4QZmztytkkFajlER5eQEiWaxeUmF3GJ2iAk1Z2FWoSfHC1O23B51U6B/d4HRUkpJQlJEclYMlCRs2qAhgiAkUgJZhGigjQq3Gu+UaaHSN7e3kyYKcDvo71b7h4kH2/qk6mxs23LoUBEmsW8he0YVsC8nGAE5hpKVyTaFFJRQJGUl6wI0AxRwGgNbjCR0WHaql/HsOhjchyp7ZTb2LU2TqWUJfqlDeNEKz24TD5xleA1Jy9KxwURKUbkXlNLQ//qk+3JYrz/aBXH3frZdPkob15zM4a7RtufjUcfvrt5+Wx3uX/h+WWyiWrhHUQArGAyGSEYkgQkm4szc3CWBKNAhlJOlAQwz1TBZikpQREy2Mx80ajmEN1DpStJ81y2RR/oWIIDkVJuIHODm5Se7Jo1lpL7PIkZYbbIu8GW2ZKGyQqkIkAcJ1M2Zuwr+tpy8ehz3dMdhIXJgE4VrWF6Iq7C+n4ae8SoNPgQ4bp09Rk86Y43XEZ7smOFbG3WVQpOkxnljrDEbwK2MFfKIkEhh2R1v00WCUtH1MdDHy6be23eL59/l9wdBujBpj4eTV2RN8zq94EwSMqAO6O2mTEHoVGVSLSIoBDgYClBDk6IbHkaK2jVjAwhK2V422DRGoNtr+PA0GwBO7Fkk6rlBNbJoJqsCKxMIuieLSsSQmOabHp8trq1e+VsWGT/l37L8Z/48d3rb1jOSCmBMrp3eXrl/o1PP3tfr20fbsv3rdg1tUABaIBQmhuMRgBMPEwTQSRaosYGI4xsbUbiyA4AVElKFKTsAOAGiWW07GICaFHc2KEChMXCOAgRMLeAw+F1yCgE8zKWplRcznFSKlaHVvrO1SV6xxaCmaNLU40eTlFigap3NXpYMEYg5KaqpkhtUg2wu4fdr3l+I13+xDfa1p9bLORTNKy6oxCWlpFOti2oq33yEVi3nEIhExS0BFAhksYE+YxbNadPoUSu4SeLct8Ui1fPpoiwZHofRWfeHfBTEIDHV97CiWYkBYYE4fCAFnNsRBiVZ4YpVd1cpFlKIW9wJlkiZhADBjHCJNYmF0PY7rXb275pqiWqR2ttP3AEts2HiE1FbZdb32zt7DKPQ24T6ggfw6eyPYtf80L9n/+jhbnhyF+80f6N35HzYtlq8qguWKq55+7BrqwX3YrT+aUzrRcZrWUEJZ+qu6gUI31KUYEJGsyrYUBsI5yYYHtgMlVqDx9bDDX2ihFspgm+s9gn7BWTfGfT1WK6Wo5X/bCzGKYS0UZrNV/tbdx0+003XuW6yVaJWHR9Kp2DuestC/AgPDn6nm1UG1v1btxzGGPfyjimpSySBrdomKxvLUWdOAxsUFQSDFcN7EYguZfN5tW0nP7wv/Kb/4P/2Xc9bw+J0pn3bcTF5HupIffrXHI5RV0ipksbNpSJlBwheKi6jYJEMpSqEpiiZCXKo88J4NXZsGnLqeJ6KOP7ZO8W1i+Aj3YOpX5OQiSRLsmdQLgrBA82qYUPEzSrDopAeLj7zEuBZERwrt8owhUhD0Di3MzgJuRDqJUAmYEOc4RJ2SPSPBcjAiEqEC735GFt+F0/El955WdtuXRf/If/769Or//Ui8e7mCaOgSavyZ3bJ9Ow1/qZE1ycbcbpaGE+1VCouVkyZjQRFvPYHDeIgDF1RIJMDjgQJLMxAwYaLWv+VDRjIozMEBUiPHmzFpikwa4uumlIukraFzjRZtq/R4VVmy4xTSlGnp+lza7bqfSJhpgmJWtIaJSLsEShtRi9pSaKtGQpSoGRnkkrNKN5m9Bl0EfvVrLR8vJHf933fPRDN//pf+JX/y9/50f3l8qnt2SO2Kz6kXXiJLF4WasTbqVYDKwX5k7mkJAgWoTkLoXYmEPZjY4QxzpOY02msW32MU5+HSrfJ3u3kBkCON+13LG1WagObIQszep1dHiIRARZaCmiJURwHssESgbazDgdJyWzgAcBGVMkyhwxz1VNNIUCo8to3iigGQCjAmGzZhhJoyGiOWgRiix07QPPnfzszz72v/LnfbOdPlUfv9Qux5QWXXAH9BhAerSULnH74zcff/bl6aotbwGvN7YgOknUgSJoiaJgRgaNigZCJibC/YBBJpqgTHjYvOoJMlCgZJbciLy30skzGy11QRcDfriRAZqJNjF6UmEBtxhNiW7jghwGqJeQw4OtwYxwKVUDzdDSfoaJ+mK0qQkNDHMLZDfrw3wK49Rg+5Rvng/8yVce/Q59BNh+9eUdeDRFiZyVAxfnq+P1roFq3aJH6UtyL3U/Alc7lgW6EqrJc0ClubJRqkoUkYwmGpsty2qZp3HnbWi6Vqt4nyL8u1hm0uM93BdzFU0hiodkV1KEkYoQmYSD5ItkYCgk0UwePvfCkBLpQZiAiEBKBGSmCAIRaV43rXTJ5bVaMqbkteLgUDLQkSxcRLgDZG1h6XMPF//G7/1Nr7z+5z7/2Tf/B9//7MPphSc6teEVr2EIKcSApf39s5sfu4G037959ez33gImSG4jaZEIgCHSYAADBKMpgTBDum6uFci5dUQRpEWICAAeMksKUU6ZfOUDLTWB4S2lIIkWgmYUM8Is52weoidAebXc9MYtUiDlpMFzASTJCMldkKNSXaKhszQmi9qGKTMHbWb1GLf7esNS6WX05dLeflUvrpfK/95f+uorr76hff2xz/Tdsy+2gYuuKxx3Y0m7qV94wwK1iRr7ZY68yB5lX8etxgLvUWBm3iiBAZnRPLzKzIJswZziiV5+EsPYgMX7KbD07rg7QaA9vtpBBidAIIDGw0olEHFdNYw5+EOgZn1gzmLfDRQMDDMERICkADRCcBjhs+tYYkiW5YhIAAIUIpnF/IRkwUyEhzBPbJcrpX75H/x/Lz52c/2H/5V/4ksvf/0bj9K//5lPER2b5GKeU6vEVXfxxuULv+ZTi1vd+f0nL/wj98iGJisJAnTgNs1jvklGApDmfQpoEiLCZiptzNtYxgGt4Lw4QJAgA+RmFhEyhlxzQ7NAmhtysCnI4sxCU2JI2VhjhX6/SJqAyZEtGRqyhawTvTFooDhPMtPYOyak1FVSAauu7PSju/bVl/N3v+it4fgY57f11lenWx/U2eWf+c8eox51L3yoy7v10mzV7waPDmnZd35xPoDsFkvnGChL5mWCt3D1OQ1TjBVtyZwRFgm0IICUACgbvVnOvfOy6v55/fAL+IcPmSEBpMvLyVNvMQECDWrgDETOObkQAqiUQLJQ7ikAzXwoElIiTGmKUNCo676CuX2aEcl44K5A1gUJVOFQwIfmdcNlsJx8ak0zUzskiCKjne3Xv/9PxadfPJ7qr/rS232Ji9VyvBp3iHBvTEbSc7o65zDy+EM3zt984PbRzhA1wgRQCKY0f64ZnREokvPHpIB5PNHs75xR2jkzkUQapVkxQJRAGSSKRieImRFMMxk8BEuIiUY3IRtFRasNXntbkL2SSA8kNAWFcWhmyem5I9mglGl7VzAbonkoZOgUU1l23b2Xpq+8YZ98ES38uZf4muz8zbj1Quk98ySWqTFvJ9s/3PzTvyr98Idqv/lyb6qLZ//k5+3z99erDjX209SGvFJnpU7eKSVp2nEMtyPr6d6ScggRohtAp/dHTbC3Lvy6pfl9snfH3Y1oUR8MAcshA30mf1sg5u8cAMDSIyGGPXKCC5URDiQoYa7GeHYT3A5I9qEUmEAD6ZYSjMk89kRmKWR1QV4SPDlBzykxBSlOyOiaNYAejS6JlssoDAN+8uccNYF1na1NsjbJQx4sHSAzhrrdw83NDz/38AtfV/N+oc0wogA5JXokgpnUTH5KZgHZITcHAIiiGJKiiEKoCwoIiyyGQMCcAK0oPFOAyxIAEgodWomszcoch57nEKAwMAWEcMMEwucdeUoIhXc5G5IRtTlplmrIo8aMKCULBjCpZN/6tLjBFHzj7XjphVJre+Gj9bUv8/I13vnENBYkw2gJ2z/4m+6/MP7tv/Af/rknjx99+Ht++/Dh3/LPfvD+n3q8+MmzT56eqBKse9lSZWVoEXtacyW2HfawvIySqTpjlUpSX3wad4GzywbY+7hTfTfcfWbLTKPGfZDfvFlpBm8wMxIEU6eLNz8ZP/Gv/gv/WL9Y7oe629a90mbf9oE6cTtNV0Mbowxum/0YbVmRdvv9PjJgEdpZDGOyyDROFdMumznCwlOAGIHEGoZiKGOy4ruKXLI1SwnezKgIGMwsySIkYLKEYjFOcEqmcMsZErt09tr27ifuon1RF9v1MS83NUUR0iEgSTCQJikQpIGKd3TlCczdzYIfnk4IWWZAB1QKCRKiQXIZSPBAQRMABwXMkX/G+CEaQacBgFMJAec0jwOZF8+Y0f3UppoySLaIMFjpMLq6iIgswlhbYylqDffu+GtXub+Pu7dSnfTiR/Xyl/DwG/zAJ7GNNvIfffGNR3/l3/sTf+uN1VK/9h//F79w9Fv/5uP1K+PRD5/+xPrmrf/i6/dS7+gzFEwTzEJL0k1CcnRTtF3ySdaBWanM182vatv4o82hBfwfvq3qvvrlkGhCC4JIjOaWjYeGdqW+nx49+NUfefJ7f8cPIfZzoy8kRACCYmqttjbPV9lPUwSnMfbDMJFTjWlsgWhRh61N41gVm3Gapjpq4d72+6GO3SW42++ad29s+eRyn5/Jn3+4erwvzDQxaghEDVlEtiBs0qrH5VDRgmSCQpIHJSzz9uF05/uX+cbJk7fO1/du4+U916EIWAGTnGbJDUgmQMTclgFlMyImQeZJBHOGO2nRcSaTCCItAMwE4lmJW2IAsxaRJAMAVo9kpkAIZlIImWJqoiIWSjEvCWFBhWiKqVY1FrpsTnKSSLW85PxHYSZjcVqOiVDs7NkP+VtfTMstl6ddV9uHvlsv/4w9/DmefuK0bx9b/M3/6itv/h/+7T/02Z+5+KNPftuLd+6+GG987dHdN6Zf+y//ipd7w3/y+dN8exmRTNaSIigr6IzuppTKhhOIURNs8Fge+fIYTDG0R7sJUWnv3zCPdyO6AwQu9v5oV0nBDDNYPhfPqzzBJEegDXfu3POIYTPlZMAsMwXASHNLabGEMoEbyzCjHXgoTtoB65CBAOP6yNfRIdoh4npA0cTd/vLkZP0H/+M3/vCfH7rThYfCYSlZsxkqoiXIphoWDS1gWTpQX0QgMzbD0tLxh44v3378zEc+wLSRgPAAI4LWiUEQ4TMYBJ/3KtCMLbV22KeqzjnPLBFH6TAmdl4W55qiQIAlIUIRDCFREUjGIjhkQgpw3sEjFIqwZtFnRAMU8wYZiakr0aYQlUyGILKFuRhmKQC4Ei2SAKScJYNVv/vx6etf7r+7Y+lyTvHhT8XLn/H6je/+R54Z739djvMn3a/71R/97N/+0k+9kXf7TNRHvPVv/dWrf+effGT96v/503lxbE2glfmTqjnMpB7dUv1o+60pwmHjBR9LrUp+NSCCfB/7PN616L7d1u2Y2HVShYyW4AFQBvMIKhPgcOP0ZjIzg9m3rl8CkAS0AKb5Zwfa9a+uX3PYDR4ezzdDBDAnvJr7CAADlLobSNztgUjmCmNKBg/ykB8DroLWJbaNWnOWuQ/BoUg0Y4u0e3h1+pHn3/4bX/30KkpWGzfolurNBGEA5pmoIGlGYT4TIRAosIIkSJpbemaFyoSY7wnOgrECEdI3r4WJMWMzIgwqFGSBGT6UUsyAo83wFlpcY1sibQaIJoENVmYNxlBzWgYR7iSbKeR0NEENJoZLNFt/uH3ta+kTL0mtW3bdhz919tnPp4/W3dX5Rz/5m//VP3vzo7/qheHRk4e76BIj1suk7ckH/rW/+vp//M+MbPp//OTUP3dcG2DloNAmWTaF0zpf94iaWoUmSoZt249vnh+NTcv8/m1X3w13F0Cc72KMlIgKzFDMt34EWqJX5Hz32dtzR/9/822Iv/Ppn5/V8e/6onjnxwO37vr2iFDTm5cV2eZK0xxiwxpTshF0BYxWariRNJMCksySGYDo0uO3ppufvFP3X1c7P7rRnW/mTfN8THIeOjc7FQlmAJHmH+ZR6LMY10xnFDgzfOdkhnAYKQ+bnZuHO/cdXF/kIaWZi9/N5llThwENKcHrXKu3mYMugUGPBHrGTKP0BCMbAgccmPI4SOHN64oRkVL1OF7G2fP2yv3y0WfavpabN/oPf+zBG1//ge/6wf/r139k99ynP/fmZMPd3vYtCNpoiy6ND+ODv+/H3vqx33/Tlps//Vcuu2eO5wFBKvmAO80pawtZim4VFGNKbgo82Lbtpi4X3fvm7+/CQjL71/0rnzQ57KDzCYBFhyVz3q0K2N26u77OP75di4iIX7AjxoyU7QKQmyjHDPmnbAkSoIQIhE+sEZrb5Y1wk3P25EU/XI4na+TV4vJsvPV8p0mJzjAwGXt5DreQhYpHVjM1cjIMQq2oE2vYpNSUmhhAiN4wVathY7NaUSepKRoUCgEOeZlamapNzSZP1W1qaq5aDZWaqGZySpIMMwbANuf+yUAoKazRIuhBxVhjCtZgjXDKYcygeYYSUjiiphntqRW37vrVwp5clNRp8O7Z01f8uakuVqcXzxwPZXNpKRotiJbgBdPyNJf08iur3/2HPve//2ef+e//YEz3L8q4gSqaa6w+jQqXI2h00BuiyTplWo/awt/flqZ3JW8SgCfbkZHtnURMAjSHPUlSeAtweu7mGnifbmVFDFVI3VzMOhRoJZDz8ESLsHyd/IAsWYdzlwTL5lcRXssLtx+9clVud2ojVM1HTPuIPTBm7FJsGHtqJKrRwUo0aIImaRKqIsIdEA9HnxMcxkFEhiCECM0jy9QSvCR0QvHghNSYmmXN5zXD5iIYisRIdIhmRh4q8mSgeKR5dDE5bxIEat5BHA7pIUU1eGbkitJAQxt1+4Xd65Pabg9MLV9Ny59++4O/Zf3XL77x17vjNaOCRjMehl6hYbXo+OWf0+/5gz/+h37XvRfuTW23satLTJfmO8EUIXd4gAwFDWSgmi6mi9E3bU5P3yc08l3bJrx1KSkjIENEhDujET5jL7Sk8HWHu7eOEdcb1H9Q+8Xj+myExqrtxZhyWOdGh2TJIqSZigAKdBfbBAkdDGApsAIhAJcG5+Xjtv7AzfMHg3fKvUkWaCAw7wOTyZLYgCZLDsqAYso5clLOkVJ0VEfM/xJpVE/1VClRukhJOTMlpiQSyZSSaMpFuSAvIvVAJ5bIRV2HkpUIc1pwlsoAIsLJkCIkp9QEn0vNtKRcyAQzMRoi6DKx0M3ZwTKiGHLyImWC3vp78eqjzgdNQ3e6/IlvLN/aff+PPvuF6a2/BnqynQqhSRExTtxtqmP93K2f+s9f/S//f5//zb/q1JF41MM2adjm7VWKMBhD8BaMGS91M02xi7zbO/Burfd/b3tX3J0Azi7m/+dOfNLmrJMQmBJAjdPK29HJQuHv9YeTkJKN1R8Ph8QqWpvLukmkz2VrMSEgeEslA6BZSulwbmYA1ZXhYVs/s2jb3OVtf7tEJSxIp08mVyRaD3bMPS2RNlOEGLIgq5sHQ5BYnR6iZmq4wi0c02hTtalhFMewRoxKM9NrlMZQa3RXNLmjEVX0liQTIs0zSOYLbvN+iTCEaLScWCwMcqG6h4f7gb6hg17EAfgSCMrAEsyuTJ4cVaym8ysnA+puHv3Zn16c61P/4195vz752TaNWTuSrG5V2I1lrLuvf/He86//7t/+K0cvWKyzMdsSiwLsuN9yvGTUA9SgWdsV1mWQ0/srrvRuuDsB4GIECFCcr6OE1AkJRgNoCVGPUzpeLfX3Csy/iP1S4npERMjA7TRtG7yx1ZQsk6SQ3BG0yizPCyUzawOMpCEzqAM5lzA4M5/cH7pedvO0nY3HL3TwyiiKBBdb0FtMe9ZJ46Bpg7ZFNLT53wRNiAmtsrWoo1q1Wq01tmANRQMcalBFaipCcppLDXBgIirUFJWHHd8ATrIINLrSFJLmXzFC7ooIqc0tonNRyhgpIsWcCV1XZgVSVXKiko2qDS3k4QrLICc/eWa6bJ1XSGLuby9/7G+vX3v4gf/dbzi70b4ybVpXq0LajWU/TPffOsarP/Yn/hcvffCZz728Q3/a0jF105DZ5Vi4bMC4lbtCdDEiQdIUzZjeVxXgb/dgAhIBxasPrpDTAbMwMuZSuHIyKGSGcbi5SsvFIuI9b18RZcDVNk1KXZHPPVMugVVMmmCLlkuOwULRwgClRLCRAiylWTmLprqBLsajj9949Ppbz3z/zcefb+EmSVSYmTcQKjMcWYRD+XP+3yxhTkzJpAzCxAhXyddkAwsSgF3XmkByvp8FzNGIRFwXqjk3CEIzpX8m0pkJUAQOtalDBOeM6/MaKJsPEEGzuSJywHnm+K5D5h/hNALk6o7O7tvNI5GwfHTMP/+31OLOH/ud/R/4C6985fyZ3izGOr39Rnf1t/6TP/kv/tCnX/qP/tTf+OqDY/ZDKFlXGm8zxHohRcoOMua+L7PIPQZ4m9UX3j/79qO7gJgaL7ezLI/BTIfs3Jnl0WRMRozj8cJyMY94zylwIWadXe29+pyfmEs5IcP6xr4wy4noijEJIpMkh4wCDxR9s5KISOntr+3u3ovL89LHbnE3NzfJeNAEy2FZKGYLMCtnw8zvpGTBFJaJgkhiFnNLKXKhBATm5bCRjWpQA6owBmvBVBSmSGJRpPl9ZJ3YA51UgnTaQdbHgowkT3JGo4IhtoBLzVGdLvOwQBLnXA4tgDa3QsU7qPFc1HBEsEVTWYWOsXHvzG09IPV313/pM+n/9pP6M//ycx9fvjE+flxfv3+8++Jf+tP/k+/+yHN/9I//f/7dv7ip7G3ud4iJbXC5lqcpLWqzWQ1znlKmVrlwZ9T6viYz3/ZSIoG42u7PR6cVHTo7ZtBBkGYKigREOzqGzTyN9zx5JxhPqu12nS0F9yAkGcy9D3NC5kjUWIDWYtZuFOCOVBRBy1CEW6xs9wD1Ezh5/sbZo/Gljyw+/7dAg1hEMzQBaIpoCSaj5qKiu0kREw6yapTNKMwMMWfwUJZi+N9x7gGHlCQQMcd3vFNb41xomKdWU9lpiDbr9s1YGCMO8X7miPIdgcv5RKhr1iaAb8IGM30TAMhQtiSFL09QH2ZRqRr6qNPqmdt/5q88WpT7f/Zf/97f9b/96dFf/7//R7/nxbv9H/tT/9mPf+nkZy5e7I/VYIqoTpil3qI1QWYmD5QkSd4YrmhHy3j/+AMA3pVkhsCTq/123Fk6UZOFZIYWUqYRFmohI3bbG0uDFcytx3+f9vdM2b/1NfPif3Zea+TiCqeMQAKpaPKkhjxDlKRNQ0QCEpwqJoUx0y0yIJinKdv5K+PdT9x47W/tP/DDcfOGXVy4pYZ5t0vCXC3CSLOwLMBSBoQgUzp429wGRUDgLDYwdwNYngkGADTzIBEAYl5kFDg4LuyQ7kgE2EGS+RzLZ5Rp1qGGEoORbG7pUg4AcpmZz8S0+danHToODl/j9ReqNrO0IeTcNz/Sdstl5xTyotZheefkj//l4Wr3hX/zn3vhox/5vsvH9d/6s1/8L75x5wv3j/JR1EBCRNKLJ9to/qCtYSX56DSrjfMsBDLB2yC26Lr3VSry24/uBuLxpLPBeGT65jSGeZRjOCNHGIjWjlcLYMYQ3tvwTghm92cZQlKJJrOMkMsjzR0kLmYwNdiMHQGkaDD4gdwCm9U1FnlzP+59HN3x8atvjP0HTD/T0yqRNA9ymfk/RoWDNDMiI5kIJCOp+GYviyQ/EB9As2t9GkiCJUnXpdRE4DBsTMRBwgHwZiJ0yOq/KVuhQACww/Zhfk7XDTSHL0Q0MyAQYAOoXBSaZQBnuppo16GfjYHlMi4ep0blDqQs17brby1/7Kd2f/G//ty9F58523f7OEU66pa5WjJjnaZP9Pf/yO/92KO3N/+rP/61b/QfQRPZmBcHCghhHuizhJzzO2f7Pti3f28FoMuNh2dYUqLssFQSTnoWHEhK0O7mOs/56t/fAX6paMw3XzN3Fe2mCQFLiTAkQoLIbIRWqYo+eU7ct+ZKZiBdbJaU6UotDHCDGyx8YH79i8PtT/D8TctH6Wgdgb6lDDMeOGUGN6KjZ1RKDVGtThz2qCPbyHHiVK168kBt5mHVOVbzYHXWZq1xqjb/ygNTRa2sE1qFO9zhoXnyOkVUaDTI5jKC5kICaRIc8CSnBehz46tmQCYAj2aIOGxlEZVwKSQFPehx6KZqYpNXKLO/o3FgR9HITrZQ2OJo6fn2629dDHmRV7msl60UpgIvd/Ju8+iVP/2f/rVf+wMv/Qu/7rhcvRlwqDnlCBKsriYYjzuuF+9rdP92DzYzCB9umse1MoBkIWSzRJDzlxMJaPX09OTwR++5CdCwNczhdG4ljFkAxEC6R6I622k/IhgRnhjZzGzuMJ0fmSuJLuSMq0cxXdXlveXlG/vli6InBqAaPqINrAN8z7ZjbBl71Ra1hTdFqFbNPBKa5FKYEYrDfU/SDvw2XlM89c2YMPfdVmqiD2x7eZPH/HfRHNf5JGdJbgTnv9WBkEoaPGaiJWaQJnRAb0IKIRzWkOYto0iRAc6IsgFiOUYFhiGlhpITEyw1y6k/WjrKdKlcpJjhW/e4sxh/9Qfv/rZf+913nzv91/+lX/9bP935ruVlN2/hDjuKbMjlRm83Fv9NqtR7aO9C7g7Y2S6QsUhRDyunLBQQkhFMbhKwu7q5fr6Fqs/cxYPTf0vqA4KueDc+vBA4O3eYxdy8GjNwBE4e0oCUhKGWqLRw5V4IMh/S2pwrkYi5f5wpBamuf/SV+uwP2O6njTd3izupPrGwTtJMeTce1mVJmIlidElgwdw0TcxqIhYUiTzDhvPeM2kerz73oAhzgmRKmMkYNleUQLP5GASZELpuB2ZwjuwzQ0GCCiCmmPsdAWg+YqR5L0szzagwfXZDci6TIMSZpIzWxBaru7Y5s35ZmWJxlNrA1qJbot3yi3PdqMrX+/Auv3ql88vt779xM5VVbM+HMWHZh4uR4A4m0OSOZPdOy9Gq4B8id5+Dy9nGgTxF4tyhMK8ZswvX5kQXWKzi1knJxuOTBBLIh8A0M+YEBVxIPiecMwNkfmQzEH0AKDBX5+bGqeteuTg8jzmNkoW3RyOQ8qFldn4HzbRAy+FGOBWYOzbE2W8IM0ay3EL5wNE99Jwm7vd5+/Zw41M3r968uvnB3YPdDXlGxsGZDpfD5z0nyZkcByggxazXEVAQMjKqIBo6ELAaEUCGrhdcCaBMwKywg2uIR9fXgvLQ9TYXIQDJQ5Inmllg3rrEgaE58+Ex58+HsvK8Os9zYwkp3nnsAsQiiCF0fRqpac+VWetbyZbAZl4SHg/prVfjw9/FmgLZvE1+/Hib/sD/5cf/h1/82md/rv3451p/K8d0HOZ0omTV0WLEKn3oNFJvcV2teB/s23X32bXPLwcwBRLZFJIUwIw9xewO7bJ8z2/6dz/Lv7770s11ubHk0lrp9Pzxos9cLNLxwvpSVr1KQU65JEvZCzNmrmJqsBnRTu8gaAggVcAQs0/O35885IBpfLRpCDBbq/M8eAChEpgsmFQcGdgFLTMpKJgjJRjkEe/I+WYDnMyAW/Gzl/nxH2n1pFw+2a6f9cvXE+eRG4JUZ+BvLrAfFGlIp665+GA48Q7UnUA62+xoIqGGuUhnNrfuvbPqHfQU5k4+SzrMV5g1hglAMYEMciYSzGxPknMgoEXEoYP8QE67rmrBZiiTDCM5F/oPd5E7bdYKQVud6PKttFpAE90COZGQ4fgezl7h5UMe3VNIRpWO3d3PvNF/5t95BTfulufvRjJ3J4sCRPDywgR23Xe/uADtm73M7729KyXcuL8JwNBquMNmhaMD3y8gE92T262/+hr/6hdHpIaFUAVzIIhmRcsU2bjusUq+7Pu+Q8l+3OUFeNoNNeW76y4XLhc8sQxOt5ZW+rQoKIqS8/GaOdnC0C98lUrXdU+2+zefgH12NYYpveM/hx2FmacoMYVmKUOzGZMWZr+3+UZlOFIGK4goSVWvfXb48A8e3f9arovzm8+vnrxVkDwiqCyP+Xahz3RE4JqznmLmPc6qv3NH98yOMsV8bvPXThPVmg596YdGEJBSBQhS5pEyDjmLSIqQGt5BV5SAGQq6FioEzeYl7BDf5wA/V1jtIHc1f2OdZhL83POVkgijkI8Zj7S55OJUIebiFJMhLePGnfzgfusXhmMyWBypJOX0/Itar9wtlI1FIOFoyR4/ntZ3Tpf4kY8uASfsffP3b9fdzQC1t540pE6WaD4ncZTCmIA254VGYSxGu0HMrQvFhBKgtSRyG6Ya5yMxS3GUWThp7ogryBmViAATxi0kFEMKKDAJBApBFmslscuisdXYjeuUJGXMs8QQklzJwORgn/OK7XFILlWIosEbmcUkD+V2nShPYJEAFxOv9nzty9sPfer05a88yUe7xdFifFxKstYqgbnhVCYkO5RzUiLgM4XLEgWYwzRzePQO7vdOPX2u1MlwqPFf9w/MXeEuhB/ICwdeWLwTH/2wbKT5jQ7iw0Km6aDQCgCk4bqaSc1FViClkJAn0sBkKTkD0cAcIM2xuMHzh7h7kixHEGoHbHRx7AhcPOqezZll2qqZ6ebNds3/pma28MSucLOxizfbsy99/0v2qQ8cSQdt2ffHvi13nzGBYaybWlnWIGg8DKFISURM0xx7QAL00MyfCc2iFALhgknZpAwpLAlgpHltDwRS6mmMfGgbUZ8tEImYm0srbP6aaQrtXbv563RL5jDM6BsJcZ4TBhEB0r0OA+o+MIkUQkhmvcKVEgA2n7uEQGBymwtAgiU8eTkWi/T8R24/fvXh0Z29xjaNC/YBCHOB6fAPAMhDCJA0j7w5aAyFYLMMhjEEM+aZ0D5j6nNcvs7cDuQXvcOo0XXxX3P/k4gZ7tEBCp7J/QcefDJFXHv7PEPmcBRJB/TKPQkxNdIMJhC5CEQ0s6RClcLWYtyrz8TRQVvByJy0vmc+TI+HoQ9OMzlt3vIKBko0WVcUxq/8DF/8GLrxf/Qj93LXeSi9f97+bUZ3AcTk/mQPWdB8Lv4pp+qeQU82S0OmGaewCJdqREkWAc1wgkJQxAH7jsA8y3MWbaHVwEFfUpHomOAJBGOMw+J+KGBqLioyzBRKEfADKclsFue6ZkwFe2DSlAytRgQjMKsaKYzmakgJMze+8nD6hy4ohGjL7sEru3ycb33omc3Ds/RSvXirDDVzmVwAlHBd2MG12hgAQVZwnQ3DDwQBWYgNZJiBgDIgWcM1fEXYYet6XbWYd9jpUGIyCYcSFQIHdPidbIYAnC4YY9YJIDBr0kMzKfhQq9K8UAKQSx5WPTyYZ0J/NmYtVtxc2PoZ+R65HDYtTO7OrqNl1jbTJYICSM9KxpKpjm+/oTe/dvzBT56f3vv1H9n/7l//rOvvaFl+z+1dyN2HIdWBQHLPTD4zyw/ByQ7IN6SYXeqgwXLg6ClEhUSYNfdrlOHvsBnch6WMaFAcBFxwKBYe3GnGLUgZ2TxktDyPAZNEWqhSSI5sBrV+GVOKqY2Ye04rYFCKWfeCFlEcAN1IZyo0HfzHjFlwvfY33v7Ap2/d++jJ5WZT8+hny/Zwyua01OTXuwQowkB5zLL24T6LwsPCsqlN4gpqiJg7WaEMZpaZShmgpEO/fkA50ry7sFlNdo7fCjQZTUzXl5ZxqNqChy4miJFyQiogZQSJNKu1CXKIUMOB3+TWp5mKM+P0otOk41Odv57GUbkEcRjLAaScAxRDs0qPJQhyl4vbnV+9gUcPStLi4997vrzxqXvbP/r7v6fr8juf632zbzOZEcHLfXUfu4Lms/7nwQV1jZLpWvGUMGZ49UNWC1iyefvImSIYEWaISDnjOt+FZCkZoOYKmMHnxtdkM0xGKDIZOJQ6BEmmxpQdOExiaY0ZyqZW3ZQdRneH9o/tra+oWwTNaDSirCxnmREJgDHTklI3t/zN5AKYiTlZfv0zl2l49rnvvne83jy084fbbTzObULqjtxrRDOPqHtrQVHTkxh2kLGsQbO1UmFzwI/kQwrEddUfdA7nIG39DPNp5KZuMTcZ1q6RsHlWvQVChuKpMYJVasMBnB1rmvaY05WZCGNmbBqqSMuZDHCBfsG+i5TQL7hYMXeREo0sBrPIc+UwBNBt1rPmcIqpMnWoWUjwyVujB1uNcLjbdBWtWhsxTOZjQjm9dZo+9cLZ8UubMf7JX8F//3/6fc89c9Pn9fz9tXchmbnaT4+nhIUxYh439A5vZs4157Fdc9NkzBMV3ZHzofwXB3oHrltyAEQ4DosDFAcO1IxJB3kQdZirkORM65vDewCZQE5Qg0dK1ubCe0pSk6Qu2RS0NHIeCc1YrpF7y/18a6IsJcqDKYOmueNDSaDklrNCUYOAUEG9/Ne+UV8/e/E3fvezL6265Wv3H6H+7CN84wv0Zt3KxNCoWom9pieUgxa7QqbYzQ7cB5aMffilZozcz+SPFFcU8KSg3KatlXqiT7yhfh06UqJZApLIZh3LylKKbPMHgZGJcWMBEHnuYdIMKUqR6mhE1H1szrF5S2d7TJcp4BCYmApSisUanBMNE0UYc28pwwwazfc4ullGIBX4FK2x7jQ3XClK7vrFMhar1e1nfX16mW9c5q758Mlbwx/4Z17653/zi5hH0L7vvo5vf6sK4K3Ltm+5SwuFgwgn5rmb1/qec+WVQc77RFKMULNk8hlEm19x0E+dy4K4Vmk/THgkMM+jtsOSYXCa1TnQx2ESHrIphTWvVujiQQFh3jkmOpXVGGYEmkypPUm7b6BQ0XAocwNoBGZkO2ZtMDqA1CoAYw8gtAfCNGXyzde29ZWXPvVP/d5nXvzw6uTJ/pny6hd2/MpP29ufx6Y5M3IKm1WK67xvJ8A2b0Y9q0AUXNgCkbQBrhs1Yi93A0yYp5Q6TApgARRgkZCXpW92iigBt3JsLKHs1tOWybJjgbJC5EhSWSH1jR1JdTewus07H1S/MOstJvOKOkXdRTjpCKGN4hXiFEjpeFVurHp0lmGZfd/JEdLIVXhUoLZIlseG6m3XhBQXvd9ZlU/ejV/xAfzWH3jun/qhl1ar1ewN6ZdjZDa+TXefQ/iS42nZbadd8cYwmc86QTa77jwSeibamQVAUUicX0abWyug0CGNEw5+eniHww4tnLSYK0kCcBhqB4jJ1DQ3VtEQZMyyXjNx0DJdcwFy9iHmRMaq1gvrp8d/E5v/HIck7Bf5oPqWx3zn0/vh8eL+a9+4+iM/85F/7Peuv/e/d7zuPv4bv++N7/7011/9cr3/ueX9n7Oz+213UcfK1kDQ8iTNxVaYEAVMNDOLzDCb95IWEnnjcOyUxNx1/eLo+Oj287fu3MvHz3J5K3e9ulNPeTet0Hyo46P9wvf7gsFJRbRmFfmojKm2voyF3XZztd9e3UwPsdufP2xDjVZjgoM9V7eRFjx63hY3gKxkqWR1qwCCnFI/ycJcllXNwhWOcHk1H5MxRf2uZ/krP3nnEx++9eG79uKt8qHnjl68c1T6fsblxslzNh5KwPOX/Q7kftBU+5bf2Cyg/y7aNeH5H8jmc31yfv77/shn/uTnWu6WzYExgQZziJh3TjmnGUcWTB1S6+iSwRIJRUYMsEQlJEGpzQp4hpQPQslz5I8Qw6SQE0YVCUwmRaJT7jhg2QEpsjAPq0kJDaqNXSe5rGVjSur34zBd/egHv/DB5b4qzWMQQuGtuUcEzFJrbfI286kAzELsM/Vyrlb6LEUaAulVHPd3Xvj45qXvevnJ1PVeuBy9vnExvXFxkdtFt7taROvGfYnhmaUWmCfyhBlVp7Fu33zCx5u64426uKOyXC4XsFK63Jdu2aeWF7dv3Xnh1snt0+METpb6FI+3w3Ys+zGG1h5cTkeIh5viarm0BNbajouWfQwoCVoWJC37Mg7VFytNo4aLvZVpWR/62f23zl+vTx6Mj9/YX70+DeitUDFh0SRSoWR5LYQSzJbKi4SWc0qWVslunqxv3j4+Pb350p2bn/zEMz/8A5/+Fd/3sfWtW9/iKQLadbAgkH4J/uWAtxpIzNb/A3vpt9q35e441EHw5PLyi19568m2jdGe7NowYTO2xxvfTn628V3VbhdD07lrGlGbto7q1gLOUkd4oixjSMjMHimn0QkEaIDRwpgUNERf5GYpbG7ayUZa1GphAYieBR3aI5BmyrqgoCcYaDM1TWYlO/eDhlc/+3/89R9/6d67cinfuSRA+/prT/5fnzn7y18/p++fX1i7Gh+eXb69iU3r+kJb2kduL1crPH/reL08akPZjfy519qX3uab02rsVqmk1dKZWaKZaR7Sl1C7bmBLPYfq0zpH3W+y6gOPhPSh477ru2GQUWvaNAnEVGPj7c5J1+W8WnY5x27jSNxXwfx4vZL3F0MdJi6TrM8p5ZTw+Mnjy7Oz06OyWli9On+8bcHIHC53jjCMNbmCxUqp3oi67otZtuRsGX2fc3e0wMlq8et+5Qc/8eHb60U7Xi9SSuN+2u/HRc6AUmrkYWYVjB4KJLNyuRumWs8u/Wyvy137yoM0bTf/5j//4oeeuxPXhP9vx75ddwcQCvvF4CQBgajwGMY2eRuHerkZt+77aRo9bTfD1RDDNFzWGPbcV13s43KK5n65M3cNHudbTU1ja9tR1fNldctWXWGlVQVzDERJkCMcNFhJXh0dc3QpJQ+KTngpRXDZKtVtYNle+cK//Rvv3bmpdy4lv+Wsf4FrOzMTI9S8KRThHuHu3uDNA3KPLqWF4bUHZ595ffzM69svPmmutrva3n+0OX/Szq7WcAMKyho0KGOVscjortAu4RcZl0eRdiBSzrZOngYVy10Pc1+49eNE8z1ir4wbN/JJ7ld9d7pkl2UpLUryUGUWUFsTU49Mr1VpV7EZ6zByO8QUmJq759qEeW6CC0Z03ckSY43auFzmJWRE1w1KqQOTZvqSebi3hig0tIjmPrTiETOPfmg2jpXRiGIlE/AJvh9TSoAsu6Qik7ulJEWz1i3WSSagNty4UfN68ca0WmHz0/+bFz/5kbvviru/C7i7ce6Ev75vrtOv67IgyURLNCwKFgBu4O4zv/hbxnWuHEAgfJomdxur16nuRr/cbSM0DNiNdTPVy+20m9IwDhf7thl1frEbla/GejW2XdVmxzHkI3ZKg3zaj2IfxfL06Hf+qjvP3j2hpb+/y3go0aNDh+v1LSLc5S2mqU7TNI7+cDdYKt93Oz65Wjy6fPJ4iq2v3tjlS3WT9UOkTPPm4zBM7bKHa381PHrbHz/c7reosdlP075NqtOUWitNqSp7HDk6t76UlbpjdKcjdP5GelIS2kyozN8sRlkBME+CmHUVACD1oNDX0qWO0ZmVLrqFUrJsmMcGhV+5551iNEwbbffAdC1+NBejosEMIdCQlghhLo2WADgLhsEAS8oGLz7MX6WjL07AzGOBiDYz4cwQAbY6GWpCSkAMZ7pZ4h//uH/X3ZObpx2uy8zfpr0L0f2Xbt8kKB0a0vDOHQIgcKDvzuIXeKcqyX+w/UoADR7TNNUWrbb9MDaPy+0wNG+OLnff+8mXUs7XNbH3yq7XiV94vTj8Vt/abSMgArW1eaDfVD1ac0VEm2qL5m2KqbVxmlp1F/ZT2u3b4C1CraZhmAaP60IcyT7nedBkKV167kZ/vGZOqcsoORWamaXUZoKlhPA0trZ3H4d8f7u/3I67sQ17Di5ANaoEonhoJhkrrFavDIKFZoSHtzZ1MwQWbarTWCuBZV9a8xoB0pskIZVSOljvXkvJdSxOXVwNv/0HTn/0N7wEvpvd2++ru/+Dm64Jq/NP37J7/+Yz30xGrjHQv5e+x0wNfNed/VuvKIFvgR7eueGvL/tcLvh5Z/COksP7Wl1/b0w/PzsEcCgnXj//rY95/fp3/sQ9CDC9e0SDf0jc/duwd5YU/Lz7RADt208G3zP71rO+fu5Qu7u++d/59q49Sd/6skOT0/XD62BwIP5eUzB+XpLwd64/B32ma0f81iv5884HmDHEv8uRD8+8U3a87lA8uPU7j7/ZYv7Nk50rNO/qbf/ffXd/ak/tHftlqm49taf2y2FP3f2pfQfZU3d/at9B9tTdn9p3kD1196f2HWRP3f2pfQfZU3d/at9B9tTdn9p3kD1196f2HWRP3f2pfQfZf0vd/boj/6k9tXfT/lvq7k/tqb0X9pQi9tS+g+xpdH9q30H21N2f2neQPXX3p/YdZE/d/al9B9lTd39q30H21N2f2neQPXX3p/YdZE/d/al9B9lTd39q30H21N2f2neQPXX3p/YdZE/d/al9B9lTd39q30H2/wcOc+qQ3j+/hwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A21B829E8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A21B829E8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "brand Frye\n",
      "name Mel Leather Satchel\n",
      "price $428.00\n",
      "web https://www.saksfifthavenue.com/frye-mel-leather-satchel/product/0400011326992?FOLDER%3C%3Efolder_id=2534374306623861&R=190918564784&P_name=Frye&N=306623861&bmUID=m.ja.kr\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A21B829E8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "brand MZ Wallace\n",
      "name Gramercy Satchel\n",
      "price $395.00\n",
      "web https://www.saksfifthavenue.com/mz-wallace-gramercy-satchel/product/0400011335533?FOLDER%3C%3Efolder_id=2534374306623862&R=849835037726&P_name=MZ+Wallace&N=306623862&bmUID=m.jd8Yb\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A21B829E8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "brand Frye\n",
      "name Melissa Leather Satchel\n",
      "price $388.00\n",
      "web https://www.saksfifthavenue.com/frye-melissa-leather-satchel/product/0400095196941?FOLDER%3C%3Efolder_id=2534374306623861&R=190918564364&P_name=Frye&N=306623861&bmUID=m.ja.ks\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A21B829E8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "brand shein\n",
      "name Letter Print Shopper Bag\n",
      "price less $50\n",
      "web https://us.shein.com/Letter-Print-Shopper-Bag-p-700368-cat-1764.html?scici=navbar_2~~tab01navbar07menu05~~7_5~~real_2043~~SPcCccWomenCategory_default~~0~~0\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=250x250 at 0x1A21B829E8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "brand shein\n",
      "name Color Block Large Capacity Travel Bag\n",
      "price less $50\n",
      "web https://us.shein.com/Color-Block-Large-Capacity-Travel-Bag-p-963526-cat-1764.html?scici=navbar_2~~tab01navbar07menu05~~7_5~~real_2043~~SPcCccWomenCategory_default~~0~~0\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from io import BytesIO\n",
    "print(\"Input\")\n",
    "img = Image.open(inputs_test[index])\n",
    "img = img.resize((250, 250), Image.ANTIALIAS)\n",
    "display(img)\n",
    "for idx, i in enumerate(Top5_imgs):\n",
    "    img = Image.open(BytesIO(requests.get(i).content))\n",
    "    img = img.resize((250, 250), Image.ANTIALIAS)\n",
    "    display(img)\n",
    "    print(\"brand \" + str(list(Top5_data[\"brand\"])[idx]))\n",
    "    print(\"name \" + str(list(Top5_data[\"product\"])[idx]))\n",
    "    print(\"price \" + str(list(Top5_data[\"price\"])[idx]))\n",
    "    print(\"web \" + str(list(Top5_data[\"page\"])[idx]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-01-30T23:26:40.815271Z",
     "start_time": "2020-01-30T23:26:40.807697Z"
    }
   },
   "source": [
    "This time, we can still find some similar handbags, at least shape,  with less price. "
   ]
  }
 ],
 "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": "3.7.4"
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  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
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   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}