{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 获取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "def load_housing_data(housing_path = './'):\n",
    "    csv_path = os.path.join(housing_path, 'housing.csv')\n",
    "    return pd.read_csv(csv_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-122.23</td>\n",
       "      <td>37.88</td>\n",
       "      <td>41.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7099.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "0    -122.23     37.88                41.0        880.0           129.0   \n",
       "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
       "2    -122.24     37.85                52.0       1467.0           190.0   \n",
       "3    -122.25     37.85                52.0       1274.0           235.0   \n",
       "4    -122.25     37.85                52.0       1627.0           280.0   \n",
       "\n",
       "   population  households  median_income  median_house_value ocean_proximity  \n",
       "0       322.0       126.0         8.3252            452600.0        NEAR BAY  \n",
       "1      2401.0      1138.0         8.3014            358500.0        NEAR BAY  \n",
       "2       496.0       177.0         7.2574            352100.0        NEAR BAY  \n",
       "3       558.0       219.0         5.6431            341300.0        NEAR BAY  \n",
       "4       565.0       259.0         3.8462            342200.0        NEAR BAY  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing = load_housing_data()\n",
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20640, 10)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 20640 entries, 0 to 20639\n",
      "Data columns (total 10 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   longitude           20640 non-null  float64\n",
      " 1   latitude            20640 non-null  float64\n",
      " 2   housing_median_age  20640 non-null  float64\n",
      " 3   total_rooms         20640 non-null  float64\n",
      " 4   total_bedrooms      20433 non-null  float64\n",
      " 5   population          20640 non-null  float64\n",
      " 6   households          20640 non-null  float64\n",
      " 7   median_income       20640 non-null  float64\n",
      " 8   median_house_value  20640 non-null  float64\n",
      " 9   ocean_proximity     20640 non-null  object \n",
      "dtypes: float64(9), object(1)\n",
      "memory usage: 1.6+ MB\n"
     ]
    }
   ],
   "source": [
    "housing.info()  # 查看数据集的简单描述， 得到每个属性类型和非空值数据量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<1H OCEAN     9136\n",
       "INLAND        6551\n",
       "NEAR OCEAN    2658\n",
       "NEAR BAY      2290\n",
       "ISLAND           5\n",
       "Name: ocean_proximity, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  total_bedrooms  20433 有一部分空值\n",
    "housing['ocean_proximity'].value_counts()  # 查看多少种分类  ，5 种分类，获得每种分类下有少区域"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20433.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "      <td>20640.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-119.569704</td>\n",
       "      <td>35.631861</td>\n",
       "      <td>28.639486</td>\n",
       "      <td>2635.763081</td>\n",
       "      <td>537.870553</td>\n",
       "      <td>1425.476744</td>\n",
       "      <td>499.539680</td>\n",
       "      <td>3.870671</td>\n",
       "      <td>206855.816909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.003532</td>\n",
       "      <td>2.135952</td>\n",
       "      <td>12.585558</td>\n",
       "      <td>2181.615252</td>\n",
       "      <td>421.385070</td>\n",
       "      <td>1132.462122</td>\n",
       "      <td>382.329753</td>\n",
       "      <td>1.899822</td>\n",
       "      <td>115395.615874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-124.350000</td>\n",
       "      <td>32.540000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.499900</td>\n",
       "      <td>14999.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-121.800000</td>\n",
       "      <td>33.930000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>1447.750000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>787.000000</td>\n",
       "      <td>280.000000</td>\n",
       "      <td>2.563400</td>\n",
       "      <td>119600.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-118.490000</td>\n",
       "      <td>34.260000</td>\n",
       "      <td>29.000000</td>\n",
       "      <td>2127.000000</td>\n",
       "      <td>435.000000</td>\n",
       "      <td>1166.000000</td>\n",
       "      <td>409.000000</td>\n",
       "      <td>3.534800</td>\n",
       "      <td>179700.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>-118.010000</td>\n",
       "      <td>37.710000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>3148.000000</td>\n",
       "      <td>647.000000</td>\n",
       "      <td>1725.000000</td>\n",
       "      <td>605.000000</td>\n",
       "      <td>4.743250</td>\n",
       "      <td>264725.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>-114.310000</td>\n",
       "      <td>41.950000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>39320.000000</td>\n",
       "      <td>6445.000000</td>\n",
       "      <td>35682.000000</td>\n",
       "      <td>6082.000000</td>\n",
       "      <td>15.000100</td>\n",
       "      <td>500001.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          longitude      latitude  housing_median_age   total_rooms  \\\n",
       "count  20640.000000  20640.000000        20640.000000  20640.000000   \n",
       "mean    -119.569704     35.631861           28.639486   2635.763081   \n",
       "std        2.003532      2.135952           12.585558   2181.615252   \n",
       "min     -124.350000     32.540000            1.000000      2.000000   \n",
       "25%     -121.800000     33.930000           18.000000   1447.750000   \n",
       "50%     -118.490000     34.260000           29.000000   2127.000000   \n",
       "75%     -118.010000     37.710000           37.000000   3148.000000   \n",
       "max     -114.310000     41.950000           52.000000  39320.000000   \n",
       "\n",
       "       total_bedrooms    population    households  median_income  \\\n",
       "count    20433.000000  20640.000000  20640.000000   20640.000000   \n",
       "mean       537.870553   1425.476744    499.539680       3.870671   \n",
       "std        421.385070   1132.462122    382.329753       1.899822   \n",
       "min          1.000000      3.000000      1.000000       0.499900   \n",
       "25%        296.000000    787.000000    280.000000       2.563400   \n",
       "50%        435.000000   1166.000000    409.000000       3.534800   \n",
       "75%        647.000000   1725.000000    605.000000       4.743250   \n",
       "max       6445.000000  35682.000000   6082.000000      15.000100   \n",
       "\n",
       "       median_house_value  \n",
       "count        20640.000000  \n",
       "mean        206855.816909  \n",
       "std         115395.615874  \n",
       "min          14999.000000  \n",
       "25%         119600.000000  \n",
       "50%         179700.000000  \n",
       "75%         264725.000000  \n",
       "max         500001.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.describe()  # 显示数值属性摘要"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1500 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "housing.hist(bins = 50, figsize = (20, 15))\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 房龄和房价被设定了上限\n",
    "   1. 设置了上限的区域，重新收集标签值\n",
    "   2. 把设置了上限的区域数据移除\n",
    "   \n",
    "### 重尾 头高尾长\n",
    "   * 转换数据，把数据形状变成偏钟形分布（正太分布， 平均值为0，标准差为1）\n",
    "### 收入特征\n",
    "   * 数据提供的上游证实 是年薪 单位万美元， 提前对特征进行缩放是正常的，需要得知数据是如何缩放的"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 创建训练集和测试集\n",
    "   * 训练集用于模型训练 占整个数据集的80% ，测试占20%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "def split_train_test(data, test_radio):\n",
    "    np.random.seed(42)\n",
    "    indices = np.random.permutation(len(data))  # 对原来的数组进行重新洗牌，随机打乱原来的元素顺序\n",
    "    test_set_size = int(len(data) * test_radio)\n",
    "    test_indices = indices[:test_set_size]\n",
    "    train_indices = indices[test_set_size:]\n",
    "    return data.iloc[train_indices],  data.iloc[test_indices]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_set, test_set =  split_train_test(housing, 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16512"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4128"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(test_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 对样本设置唯一的标识符，对标识符取hash值， 去hash的最后一个字节， 值小于等于51 ，256*20%，放入测试集\n",
    "# hash值相同，对象不一定相同，hash不同，对象一定不同 \n",
    "\n",
    "import hashlib\n",
    "\n",
    "def test_set_check(identifier, test_radio, hash = hashlib.md5):\n",
    "    return hash(np.int64(identifier)).digest()[-1] < 256 * test_radio  # 返回摘要，作为二进制数据字符串\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def split_train_test_by_id(data, test_ratio, id_column):\n",
    "    ids = data[id_column]\n",
    "    in_test_set = ids.apply(lambda id_:test_set_check(id_, test_ratio))\n",
    "    return data.loc[~in_test_set], data.loc[in_test_set]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
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       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
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       "      <td>129.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
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       "      <td>7099.0</td>\n",
       "      <td>1106.0</td>\n",
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       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "0    -122.23     37.88                41.0        880.0           129.0   \n",
       "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
       "2    -122.24     37.85                52.0       1467.0           190.0   \n",
       "3    -122.25     37.85                52.0       1274.0           235.0   \n",
       "4    -122.25     37.85                52.0       1627.0           280.0   \n",
       "\n",
       "   population  households  median_income  median_house_value ocean_proximity  \n",
       "0       322.0       126.0         8.3252            452600.0        NEAR BAY  \n",
       "1      2401.0      1138.0         8.3014            358500.0        NEAR BAY  \n",
       "2       496.0       177.0         7.2574            352100.0        NEAR BAY  \n",
       "3       558.0       219.0         5.6431            341300.0        NEAR BAY  \n",
       "4       565.0       259.0         3.8462            342200.0        NEAR BAY  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_with_id = housing.reset_index()  # 使用行索引作为标识符 ID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
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       "      <th>ocean_proximity</th>\n",
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       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7099.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>NEAR BAY</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  longitude  latitude  housing_median_age  total_rooms  \\\n",
       "0      0    -122.23     37.88                41.0        880.0   \n",
       "1      1    -122.22     37.86                21.0       7099.0   \n",
       "2      2    -122.24     37.85                52.0       1467.0   \n",
       "3      3    -122.25     37.85                52.0       1274.0   \n",
       "4      4    -122.25     37.85                52.0       1627.0   \n",
       "\n",
       "   total_bedrooms  population  households  median_income  median_house_value  \\\n",
       "0           129.0       322.0       126.0         8.3252            452600.0   \n",
       "1          1106.0      2401.0      1138.0         8.3014            358500.0   \n",
       "2           190.0       496.0       177.0         7.2574            352100.0   \n",
       "3           235.0       558.0       219.0         5.6431            341300.0   \n",
       "4           280.0       565.0       259.0         3.8462            342200.0   \n",
       "\n",
       "  ocean_proximity  \n",
       "0        NEAR BAY  \n",
       "1        NEAR BAY  \n",
       "2        NEAR BAY  \n",
       "3        NEAR BAY  \n",
       "4        NEAR BAY  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_with_id.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_set, test_set = split_train_test_by_id(housing_with_id, 0.2, 'index')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
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       "      <th>1</th>\n",
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       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.84</td>\n",
       "      <td>52.0</td>\n",
       "      <td>2535.0</td>\n",
       "      <td>489.0</td>\n",
       "      <td>1094.0</td>\n",
       "      <td>514.0</td>\n",
       "      <td>3.6591</td>\n",
       "      <td>299200.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  longitude  latitude  housing_median_age  total_rooms  \\\n",
       "0      0    -122.23     37.88                41.0        880.0   \n",
       "1      1    -122.22     37.86                21.0       7099.0   \n",
       "2      2    -122.24     37.85                52.0       1467.0   \n",
       "3      3    -122.25     37.85                52.0       1274.0   \n",
       "6      6    -122.25     37.84                52.0       2535.0   \n",
       "\n",
       "   total_bedrooms  population  households  median_income  median_house_value  \\\n",
       "0           129.0       322.0       126.0         8.3252            452600.0   \n",
       "1          1106.0      2401.0      1138.0         8.3014            358500.0   \n",
       "2           190.0       496.0       177.0         7.2574            352100.0   \n",
       "3           235.0       558.0       219.0         5.6431            341300.0   \n",
       "6           489.0      1094.0       514.0         3.6591            299200.0   \n",
       "\n",
       "  ocean_proximity  \n",
       "0        NEAR BAY  \n",
       "1        NEAR BAY  \n",
       "2        NEAR BAY  \n",
       "3        NEAR BAY  \n",
       "6        NEAR BAY  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_set.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 基于行索引，不能删除和中间插入数据，只能末尾插入，否则行索引会变\n",
    "# 寻找稳定特征来创建唯一标识符，"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_with_id['id'] = housing['longitude'] * 1000 + housing['latitude']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
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       "      <td>1106.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>-122182.14</td>\n",
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       "      <th>2</th>\n",
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       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>-122202.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>-122212.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>-122212.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  longitude  latitude  housing_median_age  total_rooms  \\\n",
       "0      0    -122.23     37.88                41.0        880.0   \n",
       "1      1    -122.22     37.86                21.0       7099.0   \n",
       "2      2    -122.24     37.85                52.0       1467.0   \n",
       "3      3    -122.25     37.85                52.0       1274.0   \n",
       "4      4    -122.25     37.85                52.0       1627.0   \n",
       "\n",
       "   total_bedrooms  population  households  median_income  median_house_value  \\\n",
       "0           129.0       322.0       126.0         8.3252            452600.0   \n",
       "1          1106.0      2401.0      1138.0         8.3014            358500.0   \n",
       "2           190.0       496.0       177.0         7.2574            352100.0   \n",
       "3           235.0       558.0       219.0         5.6431            341300.0   \n",
       "4           280.0       565.0       259.0         3.8462            342200.0   \n",
       "\n",
       "  ocean_proximity         id  \n",
       "0        NEAR BAY -122192.12  \n",
       "1        NEAR BAY -122182.14  \n",
       "2        NEAR BAY -122202.15  \n",
       "3        NEAR BAY -122212.15  \n",
       "4        NEAR BAY -122212.15  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_with_id.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_set, test_set = split_train_test_by_id(housing_with_id, 0.2, 'id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>index</th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>-122.23</td>\n",
       "      <td>37.88</td>\n",
       "      <td>41.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>-122192.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7099.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>-122182.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>-122202.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>-122212.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>-122212.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  longitude  latitude  housing_median_age  total_rooms  \\\n",
       "0      0    -122.23     37.88                41.0        880.0   \n",
       "1      1    -122.22     37.86                21.0       7099.0   \n",
       "2      2    -122.24     37.85                52.0       1467.0   \n",
       "3      3    -122.25     37.85                52.0       1274.0   \n",
       "4      4    -122.25     37.85                52.0       1627.0   \n",
       "\n",
       "   total_bedrooms  population  households  median_income  median_house_value  \\\n",
       "0           129.0       322.0       126.0         8.3252            452600.0   \n",
       "1          1106.0      2401.0      1138.0         8.3014            358500.0   \n",
       "2           190.0       496.0       177.0         7.2574            352100.0   \n",
       "3           235.0       558.0       219.0         5.6431            341300.0   \n",
       "4           280.0       565.0       259.0         3.8462            342200.0   \n",
       "\n",
       "  ocean_proximity         id  \n",
       "0        NEAR BAY -122192.12  \n",
       "1        NEAR BAY -122182.14  \n",
       "2        NEAR BAY -122202.15  \n",
       "3        NEAR BAY -122212.15  \n",
       "4        NEAR BAY -122212.15  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_set.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "train_set, test_set = train_test_split(housing, test_size = 0.2, random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14196</th>\n",
       "      <td>-117.03</td>\n",
       "      <td>32.71</td>\n",
       "      <td>33.0</td>\n",
       "      <td>3126.0</td>\n",
       "      <td>627.0</td>\n",
       "      <td>2300.0</td>\n",
       "      <td>623.0</td>\n",
       "      <td>3.2596</td>\n",
       "      <td>103000.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8267</th>\n",
       "      <td>-118.16</td>\n",
       "      <td>33.77</td>\n",
       "      <td>49.0</td>\n",
       "      <td>3382.0</td>\n",
       "      <td>787.0</td>\n",
       "      <td>1314.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>3.8125</td>\n",
       "      <td>382100.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17445</th>\n",
       "      <td>-120.48</td>\n",
       "      <td>34.66</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1897.0</td>\n",
       "      <td>331.0</td>\n",
       "      <td>915.0</td>\n",
       "      <td>336.0</td>\n",
       "      <td>4.1563</td>\n",
       "      <td>172600.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14265</th>\n",
       "      <td>-117.11</td>\n",
       "      <td>32.69</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1421.0</td>\n",
       "      <td>367.0</td>\n",
       "      <td>1418.0</td>\n",
       "      <td>355.0</td>\n",
       "      <td>1.9425</td>\n",
       "      <td>93400.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2271</th>\n",
       "      <td>-119.80</td>\n",
       "      <td>36.78</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2382.0</td>\n",
       "      <td>431.0</td>\n",
       "      <td>874.0</td>\n",
       "      <td>380.0</td>\n",
       "      <td>3.5542</td>\n",
       "      <td>96500.0</td>\n",
       "      <td>INLAND</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "14196    -117.03     32.71                33.0       3126.0           627.0   \n",
       "8267     -118.16     33.77                49.0       3382.0           787.0   \n",
       "17445    -120.48     34.66                 4.0       1897.0           331.0   \n",
       "14265    -117.11     32.69                36.0       1421.0           367.0   \n",
       "2271     -119.80     36.78                43.0       2382.0           431.0   \n",
       "\n",
       "       population  households  median_income  median_house_value  \\\n",
       "14196      2300.0       623.0         3.2596            103000.0   \n",
       "8267       1314.0       756.0         3.8125            382100.0   \n",
       "17445       915.0       336.0         4.1563            172600.0   \n",
       "14265      1418.0       355.0         1.9425             93400.0   \n",
       "2271        874.0       380.0         3.5542             96500.0   \n",
       "\n",
       "      ocean_proximity  \n",
       "14196      NEAR OCEAN  \n",
       "8267       NEAR OCEAN  \n",
       "17445      NEAR OCEAN  \n",
       "14265      NEAR OCEAN  \n",
       "2271           INLAND  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_set.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 从数据可视化中探索数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 分层采样\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 抽样偏差：调查公司给1000个人来调研几个问题，不会在电话簿中随机查找1000人，他们视图确保1000人代表全体人口，美国人，51.3女性，48.7男性\n",
    "# 你的调查应该维持这一比例，513名女性，487男性，这就是分层采样，人口划分为均匀的子集，每个子集称为一层，然后从每层中抽取正确的实例数量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing['median_income'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 希望测试集能够代表整个数据集中各种不同类型的收入"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "   1. 创建一个收入类别属性 \n",
    "   2. 不应该数据分层太多，但每一层应该有足够的数据量\n",
    "   3. 将收入中位数处以1.5，限制收入类别数量，使用ceil取整，得到离散类别，将大于5的列别合并为类别5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing['income_cat'] = np.ceil(housing['median_income']/1.5)\n",
    "housing['income_cat'].head(20)\n",
    "\n",
    "housing['income_cat'].where(housing['income_cat'] < 5, 5.0, inplace = True )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     5.0\n",
       "1     5.0\n",
       "2     5.0\n",
       "3     4.0\n",
       "4     3.0\n",
       "5     3.0\n",
       "6     3.0\n",
       "7     3.0\n",
       "8     2.0\n",
       "9     3.0\n",
       "10    3.0\n",
       "11    3.0\n",
       "12    3.0\n",
       "13    2.0\n",
       "14    2.0\n",
       "15    2.0\n",
       "16    2.0\n",
       "17    2.0\n",
       "18    2.0\n",
       "19    2.0\n",
       "Name: income_cat, dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing['income_cat'].head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing['income_cat'] = pd.cut(housing['median_income'], bins=[0., 1.5, 3.0, 4.5, 6., np.inf], labels = [1,2, 3, 4, 5]) # 把连续值转换成类别标签  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     5\n",
       "1     5\n",
       "2     5\n",
       "3     4\n",
       "4     3\n",
       "5     3\n",
       "6     3\n",
       "7     3\n",
       "8     2\n",
       "9     3\n",
       "10    3\n",
       "11    3\n",
       "12    3\n",
       "13    2\n",
       "14    2\n",
       "15    2\n",
       "16    2\n",
       "17    2\n",
       "18    2\n",
       "19    2\n",
       "Name: income_cat, dtype: category\n",
       "Categories (5, int64): [1 < 2 < 3 < 4 < 5]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing['income_cat'].head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    7236\n",
       "2    6581\n",
       "4    3639\n",
       "5    2362\n",
       "1     822\n",
       "Name: income_cat, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing['income_cat'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 收入类别直方图\n",
    "housing['income_cat'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 根据收入类别进行分层采样\n",
    "from sklearn.model_selection import StratifiedShuffleSplit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "split = StratifiedShuffleSplit(n_splits=1, test_size = 0.2, random_state = 42 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "for  train_index, test_index in split.split(housing, housing['income_cat']):\n",
    "    strat_train_set = housing.loc[train_index]\n",
    "    strat_test_set = housing.loc[test_index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16512, 11)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strat_train_set.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>ocean_proximity</th>\n",
       "      <th>income_cat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12655</th>\n",
       "      <td>-121.46</td>\n",
       "      <td>38.52</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3873.0</td>\n",
       "      <td>797.0</td>\n",
       "      <td>2237.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>2.1736</td>\n",
       "      <td>72100.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15502</th>\n",
       "      <td>-117.23</td>\n",
       "      <td>33.09</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5320.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>768.0</td>\n",
       "      <td>6.3373</td>\n",
       "      <td>279600.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2908</th>\n",
       "      <td>-119.04</td>\n",
       "      <td>35.37</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1618.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>667.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2.8750</td>\n",
       "      <td>82700.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14053</th>\n",
       "      <td>-117.13</td>\n",
       "      <td>32.75</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1877.0</td>\n",
       "      <td>519.0</td>\n",
       "      <td>898.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>2.2264</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20496</th>\n",
       "      <td>-118.70</td>\n",
       "      <td>34.28</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3536.0</td>\n",
       "      <td>646.0</td>\n",
       "      <td>1837.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>4.4964</td>\n",
       "      <td>238300.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1481</th>\n",
       "      <td>-122.04</td>\n",
       "      <td>37.96</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1207.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>724.0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>3.6964</td>\n",
       "      <td>165700.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18125</th>\n",
       "      <td>-122.03</td>\n",
       "      <td>37.33</td>\n",
       "      <td>23.0</td>\n",
       "      <td>4221.0</td>\n",
       "      <td>671.0</td>\n",
       "      <td>1782.0</td>\n",
       "      <td>641.0</td>\n",
       "      <td>7.4863</td>\n",
       "      <td>412300.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5830</th>\n",
       "      <td>-118.31</td>\n",
       "      <td>34.20</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1692.0</td>\n",
       "      <td>263.0</td>\n",
       "      <td>778.0</td>\n",
       "      <td>278.0</td>\n",
       "      <td>5.0865</td>\n",
       "      <td>349600.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17989</th>\n",
       "      <td>-121.95</td>\n",
       "      <td>37.27</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1330.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>408.0</td>\n",
       "      <td>258.0</td>\n",
       "      <td>1.7171</td>\n",
       "      <td>181300.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4861</th>\n",
       "      <td>-118.28</td>\n",
       "      <td>34.02</td>\n",
       "      <td>29.0</td>\n",
       "      <td>515.0</td>\n",
       "      <td>229.0</td>\n",
       "      <td>2690.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>0.4999</td>\n",
       "      <td>500001.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20615</th>\n",
       "      <td>-121.54</td>\n",
       "      <td>39.08</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1076.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>724.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>2.3598</td>\n",
       "      <td>57500.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11493</th>\n",
       "      <td>-117.99</td>\n",
       "      <td>33.69</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2480.0</td>\n",
       "      <td>858.0</td>\n",
       "      <td>1441.0</td>\n",
       "      <td>788.0</td>\n",
       "      <td>1.6705</td>\n",
       "      <td>350000.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12386</th>\n",
       "      <td>-116.39</td>\n",
       "      <td>33.69</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11659.0</td>\n",
       "      <td>2007.0</td>\n",
       "      <td>2186.0</td>\n",
       "      <td>1083.0</td>\n",
       "      <td>6.9833</td>\n",
       "      <td>238800.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2167</th>\n",
       "      <td>-119.83</td>\n",
       "      <td>36.78</td>\n",
       "      <td>30.0</td>\n",
       "      <td>3162.0</td>\n",
       "      <td>640.0</td>\n",
       "      <td>1660.0</td>\n",
       "      <td>639.0</td>\n",
       "      <td>2.8359</td>\n",
       "      <td>80300.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14562</th>\n",
       "      <td>-117.22</td>\n",
       "      <td>32.83</td>\n",
       "      <td>31.0</td>\n",
       "      <td>2558.0</td>\n",
       "      <td>512.0</td>\n",
       "      <td>1164.0</td>\n",
       "      <td>492.0</td>\n",
       "      <td>3.4318</td>\n",
       "      <td>200400.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17821</th>\n",
       "      <td>-121.88</td>\n",
       "      <td>37.37</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6016.0</td>\n",
       "      <td>1404.0</td>\n",
       "      <td>3258.0</td>\n",
       "      <td>1316.0</td>\n",
       "      <td>3.5745</td>\n",
       "      <td>333700.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7667</th>\n",
       "      <td>-118.08</td>\n",
       "      <td>33.93</td>\n",
       "      <td>39.0</td>\n",
       "      <td>1478.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>1127.0</td>\n",
       "      <td>320.0</td>\n",
       "      <td>3.5250</td>\n",
       "      <td>158000.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10779</th>\n",
       "      <td>-117.91</td>\n",
       "      <td>33.65</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1328.0</td>\n",
       "      <td>377.0</td>\n",
       "      <td>762.0</td>\n",
       "      <td>344.0</td>\n",
       "      <td>2.2222</td>\n",
       "      <td>276800.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9390</th>\n",
       "      <td>-122.53</td>\n",
       "      <td>37.90</td>\n",
       "      <td>44.0</td>\n",
       "      <td>2846.0</td>\n",
       "      <td>551.0</td>\n",
       "      <td>1232.0</td>\n",
       "      <td>537.0</td>\n",
       "      <td>3.8839</td>\n",
       "      <td>327200.0</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11063</th>\n",
       "      <td>-117.86</td>\n",
       "      <td>33.79</td>\n",
       "      <td>42.0</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>4.1050</td>\n",
       "      <td>194500.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "12655    -121.46     38.52                29.0       3873.0           797.0   \n",
       "15502    -117.23     33.09                 7.0       5320.0           855.0   \n",
       "2908     -119.04     35.37                44.0       1618.0           310.0   \n",
       "14053    -117.13     32.75                24.0       1877.0           519.0   \n",
       "20496    -118.70     34.28                27.0       3536.0           646.0   \n",
       "1481     -122.04     37.96                28.0       1207.0           252.0   \n",
       "18125    -122.03     37.33                23.0       4221.0           671.0   \n",
       "5830     -118.31     34.20                36.0       1692.0           263.0   \n",
       "17989    -121.95     37.27                17.0       1330.0           271.0   \n",
       "4861     -118.28     34.02                29.0        515.0           229.0   \n",
       "20615    -121.54     39.08                23.0       1076.0           216.0   \n",
       "11493    -117.99     33.69                12.0       2480.0           858.0   \n",
       "12386    -116.39     33.69                10.0      11659.0          2007.0   \n",
       "2167     -119.83     36.78                30.0       3162.0           640.0   \n",
       "14562    -117.22     32.83                31.0       2558.0           512.0   \n",
       "17821    -121.88     37.37                14.0       6016.0          1404.0   \n",
       "7667     -118.08     33.93                39.0       1478.0           324.0   \n",
       "10779    -117.91     33.65                17.0       1328.0           377.0   \n",
       "9390     -122.53     37.90                44.0       2846.0           551.0   \n",
       "11063    -117.86     33.79                42.0       1024.0           191.0   \n",
       "\n",
       "       population  households  median_income  median_house_value  \\\n",
       "12655      2237.0       706.0         2.1736             72100.0   \n",
       "15502      2015.0       768.0         6.3373            279600.0   \n",
       "2908        667.0       300.0         2.8750             82700.0   \n",
       "14053       898.0       483.0         2.2264            112500.0   \n",
       "20496      1837.0       580.0         4.4964            238300.0   \n",
       "1481        724.0       252.0         3.6964            165700.0   \n",
       "18125      1782.0       641.0         7.4863            412300.0   \n",
       "5830        778.0       278.0         5.0865            349600.0   \n",
       "17989       408.0       258.0         1.7171            181300.0   \n",
       "4861       2690.0       217.0         0.4999            500001.0   \n",
       "20615       724.0       197.0         2.3598             57500.0   \n",
       "11493      1441.0       788.0         1.6705            350000.0   \n",
       "12386      2186.0      1083.0         6.9833            238800.0   \n",
       "2167       1660.0       639.0         2.8359             80300.0   \n",
       "14562      1164.0       492.0         3.4318            200400.0   \n",
       "17821      3258.0      1316.0         3.5745            333700.0   \n",
       "7667       1127.0       320.0         3.5250            158000.0   \n",
       "10779       762.0       344.0         2.2222            276800.0   \n",
       "9390       1232.0       537.0         3.8839            327200.0   \n",
       "11063       483.0       187.0         4.1050            194500.0   \n",
       "\n",
       "      ocean_proximity income_cat  \n",
       "12655          INLAND          2  \n",
       "15502      NEAR OCEAN          5  \n",
       "2908           INLAND          2  \n",
       "14053      NEAR OCEAN          2  \n",
       "20496       <1H OCEAN          3  \n",
       "1481         NEAR BAY          3  \n",
       "18125       <1H OCEAN          5  \n",
       "5830        <1H OCEAN          4  \n",
       "17989       <1H OCEAN          2  \n",
       "4861        <1H OCEAN          1  \n",
       "20615          INLAND          2  \n",
       "11493       <1H OCEAN          2  \n",
       "12386          INLAND          5  \n",
       "2167           INLAND          2  \n",
       "14562      NEAR OCEAN          3  \n",
       "17821       <1H OCEAN          3  \n",
       "7667        <1H OCEAN          3  \n",
       "10779       <1H OCEAN          2  \n",
       "9390         NEAR BAY          3  \n",
       "11063       <1H OCEAN          3  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strat_train_set.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    0.350533\n",
       "2    0.318798\n",
       "4    0.176357\n",
       "5    0.114341\n",
       "1    0.039971\n",
       "Name: income_cat, dtype: float64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看所有住房数据根据收入类别比例分布，收入占类别百分比\n",
    "strat_test_set['income_cat'].value_counts()/len(strat_test_set)  # 分层抽样测试集合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    0.350581\n",
       "2    0.318847\n",
       "4    0.176308\n",
       "5    0.114438\n",
       "1    0.039826\n",
       "Name: income_cat, dtype: float64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing['income_cat'].value_counts()/len(housing)  # 完整数据集合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "def income_cat_proportions(data):\n",
    "    return data[\"income_cat\"].value_counts() / len(data)\n",
    "\n",
    "train_set, test_set = train_test_split(housing, test_size=0.2, random_state=42)\n",
    "\n",
    "compare_props = pd.DataFrame({\n",
    "    \"全部数据\": income_cat_proportions(housing),\n",
    "    \"分层抽样\": income_cat_proportions(strat_test_set),\n",
    "    \"随机抽样\": income_cat_proportions(test_set),\n",
    "}).sort_index()\n",
    "compare_props[\"随机. %error\"] = 100 * compare_props[\"随机抽样\"] / compare_props[\"全部数据\"] - 100\n",
    "compare_props[\"分层. %error\"] = 100 * compare_props[\"分层抽样\"] / compare_props[\"全部数据\"] - 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>全部数据</th>\n",
       "      <th>分层抽样</th>\n",
       "      <th>随机抽样</th>\n",
       "      <th>随机. %error</th>\n",
       "      <th>分层. %error</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.039826</td>\n",
       "      <td>0.039971</td>\n",
       "      <td>0.040213</td>\n",
       "      <td>0.973236</td>\n",
       "      <td>0.364964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.318847</td>\n",
       "      <td>0.318798</td>\n",
       "      <td>0.324370</td>\n",
       "      <td>1.732260</td>\n",
       "      <td>-0.015195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.350581</td>\n",
       "      <td>0.350533</td>\n",
       "      <td>0.358527</td>\n",
       "      <td>2.266446</td>\n",
       "      <td>-0.013820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.176308</td>\n",
       "      <td>0.176357</td>\n",
       "      <td>0.167393</td>\n",
       "      <td>-5.056334</td>\n",
       "      <td>0.027480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.114438</td>\n",
       "      <td>0.114341</td>\n",
       "      <td>0.109496</td>\n",
       "      <td>-4.318374</td>\n",
       "      <td>-0.084674</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       全部数据      分层抽样      随机抽样  随机. %error  分层. %error\n",
       "1  0.039826  0.039971  0.040213    0.973236    0.364964\n",
       "2  0.318847  0.318798  0.324370    1.732260   -0.015195\n",
       "3  0.350581  0.350533  0.358527    2.266446   -0.013820\n",
       "4  0.176308  0.176357  0.167393   -5.056334    0.027480\n",
       "5  0.114438  0.114341  0.109496   -4.318374   -0.084674"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "compare_props"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 把测试集已经处理完成，用分层抽样的训练集数据来进行分析\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 将地理数据可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 建立一个各区域的分布图，以便于数据可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='longitude', ylabel='latitude'>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind='scatter', x='longitude', y = 'latitude')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='longitude', ylabel='latitude'>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 将alpha 设置为 0.1 ， 可以看出高密度数据点的位置\n",
    "housing.plot(kind='scatter', x='longitude', y = 'latitude', alpha=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='longitude', ylabel='latitude'>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 我们的大脑非常善于从图片中发现模式，但是需要玩转可视化参数才能让这些模式凸显出来\n",
    "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.4,\n",
    "    s=housing[\"population\"]/100, label=\"population\", figsize=(10,7),\n",
    "    c=\"median_house_value\", cmap=plt.get_cmap(\"jet\"), colorbar=True,\n",
    "    sharex=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\17167\\AppData\\Local\\Temp\\ipykernel_22296\\698309238.py:18: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  cbar.ax.set_yticklabels([\"$%dk\"%(round(v/1000)) for v in tick_values], fontsize=14)\n"
     ]
    },
    {
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73XPPPcfq1atHYcRGn3GlIA3GyZMnWbduHRAz13Xl1Vdf5eKLLx6ztusa4USVQlWVk+uWg9d1SmmZO9dg0zaNuuMaSgTmzzK589oguYHBXet63o+e3eXkSI1KXsBk70mVFJ+Tm1cNLRueoRtowzA9GQb8858a27apmBI0BS640OT664yBrWCix/+jxJQpCrd/cvhKb00NPPoolFVAehqcPAmPHQPLgmXLhi9XKGjxt7+3UFpqMGWKhqoKyssN/vmvVpKTFfLzB3ljNtEeQkOUt2fxidbdETPROzwiM/AEYizktyeZ44uz9RiPhQxnuk9nCLX9M9ZtDJVAIMBnP/tZPvvZzwKxBWA3bNjA2rVre5VNSUnh+9///pDqv+OOO7jjjjviLl9UVMTDDz88pDY2bNjQb101NTVDqutMMO4VpK4DnJ+ff0YyopRVC57fpFLTIGhr89DYCB++PMr86QZSQlmLSiRFwWoVJCoSd6rkyc0uWiM6K+bp8b2xbk9m09CmkOyxSPJK/G5oaIvvriVlLO5IAp7+4lO63FT7ur8WFyts266SN9nC54OmJti8WaVovsm0aaM77mP+jJGwew+cLIO5c+lU8I4eg81vxqxIw/WNPnhQp7TUYGaBA80R68W0aQ727o3y7u7I4ArSOcJ4mEecE3RxTZ3QAz7R5YeJL/9YMdxjOx7PifEgz3iQwcbmLGfcK0jjgU1vq9Q1ClK8EtWwaAmpPLfFycw8g91HNJ543QUaLJynk+yXuJ1QXqvw+OsuPC7JopnG4I2I2D1vwRSD5992sveEiqbCvLy+s8NBbN2k1oamzv0dLicCQWKgn8XYuvk9SYIhcDpBa08pHgzGrCu+9vjKpKSY1aWtrWP2xcDxMf3/NKAovSroUVHPOKjmZsnWbSYNDZCRLli2TMHr7VGjgMYGcDjoZv1KTIgpfuHwqX4OtROtrTHLYIdy1IHHI6iv7/94xc3pnhSMUXvxVlldbVJeZpKRqZKTM/YRvWdd1tnBLLjjZZI53lxLh4iUEt2MxR6eCXRTEtYtOwbJ5oygKQJNPftOPsHYxyCdfaN2bmArSIOgG1BRBSdKBYdDCuGwi6x0iTQt6psFf3/BxRu7NKQE1Qmp6ZJ5+QZTsywOl6ls3uOgaLrRr7Wi55zhsvlRkn2S2mZBdorFovzeypWUYFkmTbWN3ZSheN3q6usl657SKS218HgEl1+msWiRSiAgcbmgulqQliapqBAkJkoCgS4TgtMUg9Rtc5fvbW2SP//ZZO8+C5cbohE4flzy4Q+rOHooLFlZYJixuKqORC01NTBnNvS7FEAc8gdSVVQFQiELj0eJrQlkSdraJDk5cRyDrpY8KTl50qC+3iIpSWHy5LFbmDcUsgiFJAkJSvexOoMxSOXlJn98uI3yCouMNIVbb/UyderY3pbsGKRBsGOQuhE1JHWtBkEdLCni22kMsKRCc+hs0+5tJg4WTlUS8CkkuO3UdKeb2267jdtuu+1Mi3FOYStIg+DQoKZaUF2nkJ9tEXaZ1DQ4sA4KfvgTD4++6qatGdxOSEiRhFsllqmRmqCTFTA5Ua1SWa8wKb3veKSej1pNheUFer/ySCnRIzptzS2kZKQOebJnWZIn1+ns3GmSnSNoaJD86186KSmC6dMVrrjC4NVXVQ4UKyQmSa69xmTSpEEeymMUg9QXBw9Kig9YzJkjcDgEoZDknXctVq5UmDGjuwBFRfDOO7BvP3g8EIlAIAAXXTSySXLBDAdz57rY+XaY9DQVTRNUVZnk5qosWjjw+l1A5zgZhuSpp9vYvi1MW1Di8QgWLnTx3hv9uFyjO5hbtoRZvz5IKCxJS1O44Xp//K6AYxiDdOyYQVm5yby5Dvbs0Tl61Bw1BamqSvLmlphFb8VylczM0zSxHW+KwFCxY5A6CUUtyptMVIebQGoiHrcLRVXPSNdNKVFt85HNGUAChq7T1NxCZXMLYJ41StJ4zWJnc+axFaRBCIUgQZGkJFrUNEtUoZLosyjfq/BuhYsmd8w3rk2FYKug9aTEVKFhhiA7IDFNMEdpGSTLsgi3hbBMk5SM/tObd30x2vMlaWsrlB6zyM1VSEkRpKXC3r0m5eUW+fkKay41mTPboqUllsUuM7Nv5Wi0X5JXVCts360Rigim5ZksmXsqMURlpeT4cYkQ0NgYk6fDAuJygWlANNq7Tr8fbr0V3n4bSo9DcjIsKIJuywoMoyOaQ3DTTX6yslTefjuCacLy5S4uvMBLenr8D4133o3w+ushsrJV8qeqNDdbvLklzJTJGitWeOKuZ7AuFBdHeeLJVhwOQWKiQmmpwd//0cJddyaRlNS/vKN1jAeqJxBQ8PsU9u83cLsVAoEBguSGgGFI/vFPk337YxdfWRl86i610530jDHerEtnOyMc7/pWE6fLR15udtyLLI4VpiVRx8i6bGMzKG4Xfr+PsnJoaGs+axQkG5v+sBWkQdA0yEgBRUpCZpjcdIXiXRrH9wl0E8wcieVSUNoAE5o1gWkI2pYI6jWFJJ9FIGF03CIs0yLY0kZaTsaA5UQ/f0Ms5sjpjK0rlJIiiEYliNi2DnJyJKf8qgZvY6TUNggeWefmRIWC0wHb3nUQCkcQEYMHf+HgyFFBSorBzBkhvJ5YrNSRIxapqYKqKklWtiArq2+JEhLgggvgglHsiAASEhSuucbHZZd5MQyJ1zv0d0SHD8cSeKQkxx40iYkKLpdgf3F0SArSYF04ccIgGJLMmxazGPn9Dg4c0CkvNwdUkEbrGA9Uz6xZGjd/yEPpcZOcbJWiIseoNB4OQ22t7DwvamslkUjsej6j2PPb08tIlGxTEjQE2elJZ1w5srEZDwghSExMoLy1BcOUZ0VMkm1BsumPMz1dGPc4HFBUZPLqq7EU3koISt5V0XVQVMASYIEVBaGAZYIREuzbpzJzjsm1K3T83i7KxgiSHKiaSmIgmYbqugEtSAPhdgsuuUTlyXUGe/eZIGHuXJXCwt6X8Gi87LasmELj9sTcB/vi4FGNkxUKc2eYKAocrxA88L8Otr0iqa0yEELgdKkYeiIrl7egaRJNg+ZmyMkRXH+desrycJpxOkU35XIwuo6p0ymwelgXTUOOunudqsZcK6WUCCEwjFjiivEw5xNCsHChkx5Z+0eM3y8oKhK88UZsgFevVvD5Jv7D3Ob0YVqx+/bpWl/PxmYi4GgP6DWts0NBsrHpD1tBioPsrCYWLlBwGW5aGiUep4WiKHjcYAQlliXAHZv8aqrEmyIpq1a56qIoFy7o4fvV837SZcbcRwK37rsKgdquZQx3rSOAFSs0AgFBZaXE7Yb589XeWeAGkCNe3n0XNr4hqKmBQAqsXAlLlshB43+qq2H7dqivkwglNqZ6VOfd3Q7OX+pA06KsuVRlwQIFv58hKShnmq6SFs5xsnVrmNJSndRUlcZGC1URFM2PY7HZITB7tpOsTI39+3USEhQaGy3mz3MyefLZfflf9x6VObNjin/P+LRenA5/QpvxxyAvrEDYh9PGpgui/V87XYjN2c7ZPUMaJXJyEvF42shNCZKeoPD80xonyxQUAQ5doocBHwg3+JIkGUkWhekm1yyL0N+SRJ0IMNqtCJoy+Nyqw4pUX1VL+qTMPssMFIPUwaxZKrNmDdLYAAwe9wJ//ZuCrksCAaiohL/+TaCqkkWLupctyDfIzXKw95CKywnHjlsQMVGEgqJZuFyCUFgSDZu8866GaZhsSHUyY4YkEMdivCPqyOjs0icFM52890Y/G14LUltjkpikcMXlHubNG9ob68HkycnRuPWWBF7fGKKhwWTxIheXXOLB7R7Y8H9GdYZRaFzTBLNnx1nJ6fAnBFuBOt1M8NTiNjY2Y8t4XSjW5sxjK0hxkpLio7otQlNbmNUX6Ozbr2KaAs0EpyWxQuB3S1ZMM8hKsJg322Ra/sCTdynh9WoHm2ocqAIuytRZntZ/Brt4GSgGabQYrN63dgqCQZgzJ/Y9EIBDhyRbtwoWLer+7ik9ILn1+jDbd2sEwwLRqtN4CFpqVCKRWBIMy4xlnistlSQnqRw75uTRRwWf/GSI9PShvcuKRmPueT5fLLvdUBnNufSyZW6Kipw0NVkkJip4PEP3Vo5Hnvx8x5AXsD1dOsOYNj7eOFv7NV6xx9vGxsbGZhjYCtIQ8PlcGIbGvOUhztvr5MAe0AQYuoUlBQVTLaanmWRnW7zn2gh9uq53eaO5r0nl6TIXHlViSXjihJN0l8X0hMEXGxVCdMaUjBUjedldUwN+/ynFRRJLmFBfD6bZO/4lJ9PihsyYO2Kqy+RosSAYVDh+QqBHJULE4o58PpPFi1XmzZMUH1A5ckQlPT2OhXjbOXEC/vW4aJcPrrlaUlQ0zE4Og77G1O1WBrXmnA1IKTl+3GR/sU5Dg4XPp1AwQ2PGDK3XGlY2NjY2NjZjjZ2kwaY/bAVpiGiaSuECH5/6osmON1X279EpmGJx8WqTtFSJosKM6SaJie3KQc8ZcZe/6yIKURMKEmKWpn1NKnVRwfRBZFBUlZSMVGrLq/t1sxsNRjJlzc+Hw0cEkybJWLpuCbW1gqVL5aDJAc5borBvlYVu6WhJLhqbBD6XJCNBUjDTTVGRQMqYdMoQ7jzRaEw5OnpUkJsrqa2Fx58QZGVJMgZODDhqnKtqQCQieeaZMNu2RwkGLVwuhaguee21KIWFGu97r4eUlDP4GLFjkM5N7ONlMwiqM+Ynb0aDp6W9tQ8/wu13fIqPffRWHvr9/52WNm1sbHpjK0jDQjB1OuRPMyktbWFVoSAtuZ/J3QAP31SXhUuFk0EFU4JXlaQ5B3cXk1ISCYVx+/r2D4snBmmkDFbv8vMlBw/C3r0Cn0/SFhRkZkhWrxq8f4GA4Ib3qRxqcdNyRCXbATnZThbkmxzfp1JcDIYhKCgwmDlzcGtbB01NUF0tmDxZ4vfHLFr79wlqa4emII23ufSZOsZDqefFl8JseC1CXp7KtGmnbjuhkOTtt3UsCz7+Me+phBune+JqxyCdnUzQGCRpGDFTu9M5pl4CNqeXxsZGHvz5L0lOTuaLd3/+TItjg21BsukfW0EaAULEFiodihWjK4VJJtdOirC5xoEKXJilMy0O9zppWbQ1t/ZrPRooBikchkOHFCwLZsyw8PaVRCKOSdxgj+ysLLjt45Kdu2KLdGZkSBYvkkyaNMiO7ZTWOMDp4KZrDFQVKusU6qOCG94bobFO4PHAokU6SUnxxx95veDzSmpqY+51dXWxbX5/3FUAXfo+wsnuGY3xOY311tWabN+uk5WlkJTU/WLxeAQFBbEMeyUlBnPnjs46SOOWs7Vf45UJNN5WVSXWvn1Ye/dAMBQLUtVURG4eSlERcup0cI9uhkub00tjYxPfvf/7TJkyuV8FKSkxkVkzZ5KdlXWapbOxsemKrSCNApaMPcuG+qJPtCdmWJWuIwA1DkXLNEya6hqGtQ5SJAKP/VXj7bdVkFA41+LWW/TeStIoZUTOyICrrhxeMtC2UCzjXYc7XoLXorpBoWCmSVba8DLX+XxwzTWSJ54Q7N0r8HrhkosleXnDqm5CTb6GymgaOg4fNmlssijM6ft243YLpIQDB7ooSDY25whWaSnm1i1YxfuRzc2IpESEyw2KQEajyLd3Yr69E7InIZYtQ1lyHsJhXydnK++98Qbee+MNZ1qMcwY7i51Nf9gK0gjJzk7krcPNLJlukdb+dnwoLm6SWHrvAcu2/yClxDQMhKIMaw2ko0cV3nlbZepUC1WFvXsVSkoUFiwYmsJxOvSCrFQLRYHaRoHPIzleqTI5yyI5IT5ZdR2qqhU0DTIzrE7ldeFCyMqS1NbG3OymTBm6YtuToSgTXdXF8axfdT1/u36ny/b+5O/5WyQiUQQoSv89djoFra0jTNl+punouO1GNzEYB8fL3LMb86l1WA31KNk5iNzcbi51AiArCxmJYFVVof/rn6hlZWjXXIsYTgpOGxsbG5u4sF0jR0zs7Xf3LX3/3ZPjxxX+9U8Xv/61h2efdVJf10/p9s2mYdJc30RKemBAiWQ/f3etq6fMQ2WsF4lbONPg8mVRQhFBeU1MOXrfpeG4PEz2Fav86v88/OK3Xn7xGw9rH3FTXXNqbLOyYN68WCKJ4cyLevZ9KHWILp/RGsOxOhYd88ZOZUlKgkET05RDCuvweGPXiGn2L2k4LEnumqRhIq5CKHr83xcTsV8TmYHGO57jNYaY+/dhPP5PZCSCOqcQkZzcb7yRcLkQeZNRJk/GfHMzxjNPI/WRLwkxGqhOb2cig0f/8leWr7yAxJR00jIn8d73f5A9e/b2u29bWxvf+/5/s3DxMhKS00hOzWTFqgv59W9+i2H0zk664bXXUZ1eLr3sSnRd57v/9T1mFxbhTUghL386n7/7S9TX1w+4X18cO1aK6vQyrWB23P0+cuQoP/rxT7j0siuZMq0Ajz+ZzJzJXP2e63nm2ed6lf/E7XcxfWZs3YvS0uOd49Z1/CCWpEF1evnE7Xf12e7evfv42G23M3nqDNy+JLJz8/nABz/Mlq3b+iz/idvvQnV6WfvwI5SXl3P7nZ9i0uSpeBNSmL9gCb/+zW/j7vPZiHKaPjYTD9uCNAokJ3s4Vh3G6ZAkeuN72p44ofDHh93U1ir4/ZJ9+zVKDql88hNhEhJGNovqT0GbNs1i0UKTXbtUJFBUZDJzZh9v7UchBmmkqCpcvSrK0rk6kaggkGThccGuXXD0qMDjhWVLJak9PA3LyhX+/i8XrW0Kk7JNDEOw612NYEhw5ydCvVOvD6Mj52IMUmurybqn6jh0KEwgReOGG1LJy4svHmJmgUZaqkJVtUVOdm9ng9ZWC6dTUDini9vQ2WqBOVv7NV4Zp+Mt62oxn34KdANl6tS49xM+H0p+PubWNxEZGWgXXjSGUg6NH//PT/naN+4hKyuTObNnceBgCeueepqXXn6F5599itWrVnYrX1NTw+VXXsvuPXtQFIV5c+ei6zrbtu9g2/YdPPnUMzz5r7/jdrt7tSWl5H03fYhnn32eghkzmDN7Fnv27uM3v/0/Xnr5FTZueIWMMU5N+oMf/og/PPRH/H4/OdnZFM2fR1l5OS+++DIvvvgyP/jef/HV//i3zvIzC2Zw3pLF7HhrJy6Xi/OWLB5ym+ueepqbP/JRIpEIycnJLCiaT+nxEzz+xJM8ue4pfv2rn3Pn7Z/sc9/jpcdZunwVjY1NFM6ZjaIo7Nu/ny988Ss0Njbxja//57DHwsbmbMRWbEcBj8dJXQtsLdapbY7PTeitnRq1tQqFhSZTpljMnWtw+IjKvn1j563qdMKHPmRw5506d96hc8tHjL4XSo0jBul0IASkp0hyMy28bti6VfCXvyhsfEPwzLOCR/8iaG3tvs+efRq19QoF0028XkhMlBRMNzl8VOXI0VEe23E6+RoNeh7jTZub2fxmC6oqKDkU4skn67Cs+M6EpCSFCy500tRoUVlpdtuvocHi6FGDJYsdTJ1qe2rbnBuYe/diVVUh8vOHvK/w+RDJKVg7tiNDodEXbph8697v8D8/+m9OHDvM1jffoPzEUT7y4ZsJhUJ87LZPEuoh62c//0V279nD3MJCive+y663trLn3Z1sfXMjmZkZvPzyK9z3nfv7bGvzm1t4443NvPzicxTve5e3tm+hpHgvC4rmc+jQYT5/95fHvL/ve++NbH5jA411Vezf+w5b33yDk6VH2LD+JbKzs7jn2/dx+PCRzvJf/9pX+etf/gxAVlYmr294pdtnMMrLy/n4J+4gEolw9xc+R8XJY53jfP9378OyLL5w95d5993dfe7//f/+EatWrqTs+BG2b93MiWOH+eUvHgDgez/4IY2NjSMdkgmJYOytR2fxVOGsxlaQRpGiqRqpCcrALm7t1NUpMeWk/crpSEbQ0tLHIWmvRAiBqqkYevwLo/bE5YLCQou5cy36eDEXF/Fc7OEwbN7i4P895Ob3a91s2eYgEhleex3s3AWKKpkzR1I4R3L4kODYse5lmpoFzh7xyy4XWCa0to3NbWooCqPs8hnPdI1BkkB9vYHLpZCe7iAjw0ldg0E43PfLgL76duEFLq6/3o2UsG+/wd69Onv26rS0WFx4Yew3VZ3gjxHZ4/9hIgBNCMw4FVCbYTJKx2vIzYbDWDvfQiQnDTuFt8hIx6qqwjp4YJSlGz5XXXkFX/7S3SjtaV29Xi+//91vycrKpLT0OI/97e+dZUtKDvH4E08C8MeH/h/Tp0/r/O28JUt48Gc/BeDXv/1fWlpaerVlGAb3fuubXHLxKQva5Ml5rP3D/wPgX48/wZEjR0e/k124+qorOX/Zsl7H8ILVq/jOfd/GNE3+9vd/jFp7v/nt/9Hc3MzCBUX87Cc/xtnuDqEoCl//2le5+uqY2+FPfvZgn/unpgZ46Pf/R3Jycue2z3zqLhYvWkg4HObVDa+Nmqw2NmcDtoIUNwM/Rb1eB3UtEIrKfl3culYzdapJWxvo0dj31laBpkJmZh+Tzg4lSlNJDCTTUFVLqK3L27jhPuDHaGJgGPCPJ1w89g83JUc0DhzS+Mvf3Ty+zoUZ/7JFvXBooBuisw2hgNJhdGjvy6RsC12P/d5BY7PA7YH0YWa/G4zBpjjl5RH+9vdaduxo6RaDNBHokHXaVDdYcOBgiIrKKAUz3Hg8fd8++uqbogguudjNF+/2c8uHvdxwvYcPfsDD5z7r56YPePF6478VxXPanhHVYrRiWgQkuTUaw8N/EWITB2coBsk6VIJVUYHIGP4i30JzIDQNa9cu5EgDSkeJz37mU722OZ1Obv/EbQC8+OLLndtffuUVpJSsXrWSRYsW9trv/e+7kdzcSbS1tbFp85t91/vJ23ptLyqaz+pVK5FS8uLLL/f6fbSpqanh57/4Fbd89DauuOpaLrx4DRdevIaf//xXALzTjzVnOLz0cszK9NnPfrrP3+/+/Ofay/Xd75s/9EF8Pl+v7eedtwSAo0ePjYKUEw87BsmmP+wYpLgZ+CmamOjhZJVOwC/xugYo2/7TeUsMDh7Q2F8cm+FrKixbpjN79sCTIqEo+FOSQEpaGppISEka/gM+3jRkQ+TgIZVd7ziYmm/g80JTk6SsHF58WWXRApVZQ1jctSsrV0pOnIQ9ewVCwMIFks4Xj+3yzp9r8NbbGvsOaKSmxJSl1jaF1SujTM4bZQUpznHauauNZ56pZ9ZMD/Pn+3C5Jt7tcunS2GJRR46GCQQ0Vq1MHNbb7+RkhfPP7xkINjTiaXWiKKA25x6ypgakHHGqbhEIICvKIRSi7wXtTi9zZved4GB2+/aSkpLObQdLDsX2mdP3PoqiMGvWLE6eLKOk5BBXXXlFt99zcyeRkJDQT3uzeGPTZkra2xgrXnzpZW7+yEdpamrqt0x9Q8OotdcxZoVz5vT5+9zC2Paqqmqam5tJTEzs9vv0aX3HumWkpwPQ2tNf3cbmHMdWkEYZGeeaSImJko9/PERxsUZTkyAjw2LmTBNtkCOiKAKPz4OUYER16qtqCWSmjV4HYMSzy8oqBcMAnxfq6yRbtlg0N0NTMzz/gtKnghSPrjG3ED75CcmJEzG3ubw8eGOTg8OHVQIByaKFBtOnm9zywTAvvCzYtkPidsN1VytcuNoccTrvXsRZ34zpboqKfMye7ZmQyhHEzrvzz0/g/PP7npTEwxnPfn3GBbCxARkKIQZIeR83moYMBmML3I0DBSkjI73P7ZmZsWQJLV0m4B2T8Y7JeZ/7tSdZ6MvFbrj7jRaNjY185NaP09TUxEdvvYXPfPpOZs2cSWJiIoqi8PIr67ny6vdgjGKmwcHGLDPzlEWypaWll4Lk7cN6BHS6RI4XS+Tpxl4HyaY/bAVpFNE0lbdKIiwp0MhOHXwi7PHAokXDc6MRIuZyZ44gHmms8LhjSqJlQWWlpKkJcnKgtQ0OHJCY5qmYqw7imi6IWGru/HxJa6tg7cNuivdrJCRI9u2Dd97RuPlDYTQtzNFDbRhhk+YgHCh2sGSRD5drjG5Tg0y8Z8/2MmuWZ9jxBhOOfsbjjPf+jAtgY0Ps5jcak9GON3Hj5L5SU1NDbm5ur+3V1TUAJPj9ndv87X9X19T0W19VdXVsvz4sRTW1tf3u11Fn1/067r39KQFtbW391tcXzz3/Ig0NDaxYfj4P/f7/et3bT5w8OaT64sHv99PU1ER1TU23mK0OqqqqOv/uz7pmY2MTP7aCFDeDv35OTfVhmhZyoAiI0XyLLQQun4dQaxCPfxhvEMfojfqsAoPMDAclh1VMaWGYcOKkgtMpycuNLQA7Uvbs0Th4UGX2HKMzKcPBgyobXnMQDtWzr1hQ3+BFWgb79ut4PSFu+aifknKVlpBCktdiRrbZK6HDsIhjDM8Z5QjGXBEZ7LQ9dMjkZJmF2yWYN0/F7z+Hxt5m3CPcbuRoJODQozE3veFm2xll9hcf6FNBKi4uBqCgoKBz28yCGbF99hf3WZdlWRw4cKB9vxm9fj9x4iStra2dilb39nrv5/PFno81NX0rVocOH+5ze3+UlpYCsHz5+X3e2/vLJDeS58DMghls3/EW+/bvZ8Xy83v9vnfffiBmsetpPbLpn9MRIzQx/UZsbAUpbuK/sYVa22hiBNkIeqBqKv6k3m+EFEXgT0qgtrx6eArSGMUgBQKSm94b4ZkXXBw9quH1mliWxeIFJh94vzUqLzxr6wSKoJuCE0i1OHFSUl2tsn1XEtGoSmogAlYTT74gaEpxc7xWQ0pQFJieZXLT6jAZycOcrNguW2eEgYZ8xw6Dfz0epa0t9ppibqHKrbe48PnsA2UzPlAm5SKczpirXZ/rLMSHrKtDOW8ZYpwoSL/57f9x+WVrum2LRqP8Ye0fAbj88lO/XX7ZZQgheGPTZnbtertXooZ/Pf4kJ0+W4fP5WLVyRa+2otEof3joj9z9hc91275nz142vrEJIQSXrznV3rT2taaOHD1KXV0dqT0W0Pv9H9YOqa+e9uNWVVXd67e6ujr+8NAf+9kvdqxCofCQ2gO44vLL2L7jLX796992Jr7oyi9+9ev2cpcPuW4bG5ve2IrtGODyuPEl+kfl4/K4iQzjZjoiRmEuObPA5HN3BfnyF0L88sEoa/9flG9/y6TLS8RuxKWidCkUSJFYFt2y4jU2KmRlCVraXDQ1qwRSdEIRJygKx6N+9h9XmZ5tUjjZZFqmyYEylXVbXVjDzd1wBufcE9FffKwlNk3J+ld1QDJ3rsrMAoV9+0z27TNPjwA2NnEgpk5FTJmCrKwcdh0yHEYqCmpR0ShKNjKefe55fv6LX3Xem0KhEHd9+nOUl1eQl5fLzR+8qbPsjBnTee+NNwBw2yfv7JaSe+euXXzpK7EFVj/3mU/36S6maRr3ffd+Xnt9Y+e2kydPctsn7wDgvTfe0M0NLRAIsGzpeUQiEf7tP76G3h4bZJomP/zR//DiS0PLeLd6dWzR27//45+8/Mr6zu0VFRXc9KGPYBh9u76np6eTkJBAdXV1v9az/vj0p+4kMTGRt995l6/8+1eJRmMpcC3L4sf/81OeffZ5HA4HX/nS3UOq18bGpm9sC9IYoKgqEoWtWxUqq2BqvmTxYjksy8lArhhSgqEbaI7xeRidTpiaH5/2EW8MUgfz5hlM36Gxd59KcrIkGBS4XZKLLzRwOjXe3CYpr9Tw+3QSUx2Q4mRGjolTi1XidEB+hsWhCo2yOoW89BFkuDvNliTVoVFzspKMvOzT1+hQiDMG6cABlcNHVJwOWLBAJz19ZBqMrsfi1TusRU6nQAKRSMdCYiOq/rSjCYFhSbTRCOi3GTcIVUVdtBi95CDSMBCDZebpA1lRgZI3GTFt+hhIODz+6zv38uV/+w9++OP/IS83lwMHS2hubsbtdvPw2j/g7ZFI4te/fJCSkkPs3rOH2XOLmDe3EF032Lc/5iq2Zs2l3Pvtb/bZ1soVy/En+Ln0siuZWVCAz+dl9569GIbBtGlT+cWDP+21zw++fz9XXv0eHvnTn3nq6WeYMX0aR4+V0tTUxE//54fc/aV/i7uvSxYv5v3vey///NfjXHn1e5gxYzp+n489e/fh8Xj4wff+iy//23/02k8IwQfe/14eWvsw552/knlzCztTb69/+YUB28zJyeGPD/0/PvThW3nw57/k4Uf+zIzp0yg9foLq6moUReHnD/6UoqL5cffDxnaxs+kf+7jFzdAmb5s2K/z9HwqbNin87e8qu3eL4VQzsESWRVNNPYGMYWaxm8Bv1BMTJbd8JMzVV0dJT7NYWGRw6y1hFi40+PRdgs/eFaGoMEzhrBBz5zmYOlUjHFY4clyhuT25kdcliegQinafgFoW7N4teOwxhbVrVTZvVggGBxDmNM5fhRAEMtPG96GLYzz27FF55E9unn/BxRNPOnn4EQ91dfENZH99d7sFBQUKFZWSyiqLw4dNkpMEubkT8DbXvhZSk70W0lmJMqcQZfoMrEMlyCGasGVdLZgm6oqVw1Kuxor/+Pev8MgfHyIvN5e9+/YjhOC691zLm2+8xoUXrO5VPj09nU0bX+U7936LObNnc7DkEKXHj7P0vCX8/IGf8My6x3H34z4ohOBff/8r937rm1jSYt/+YtLT0/j0p+7kzTdeIysrq9c+F190Ic89s47Vq1YSjUY5WHKIRYsWsv7lF7j2mmuG3N8/PfwQ93zja+TnT6G09DiVVVW8/33vZevmjQMqKQ/89H+4+wufIysrk3fe3c1rr2/sZgkbiOuvew/bt2ziIx++GbfbxdvvvIuUkhtvuJ7XN7zCXXfcPuR+2NjY9I2QE9FXZ4Q0NzeTlJTExr3l+BOGG8zY92vy6uoW5uZJ1j+vsetthVkzJbt3C268wWLNmr4fhF1rqqyM0thokpfnxOdTsUyLcDCEHtVRVIWE5Ji8lmXR2tiM0+3C7R2+H/vppOeIjaXhRUpJaamkpUXSaqr85++TOVGugCnweiQrF+lMmWximPCF94RITTp1Gbz8isLzzytYMrY+VTgCixZIPvxhc1zEQ0spqT5ZSWacFiTLkhw/DuFwLJtgYuKZt0isXetm916NWTNNLAv27VO5+UMRVq7UR3RitLZKnnk2yqFDFh4PXLbGQVFR70nk/u37iIajzJiWics9Gpk6xgAJdSGdVO84le8sJ6xbnGiQ5E+ZjNvtGvX6rcoKjL/8BauyAmXGjEGVHUsCNdXIxga0K65EvfjScZH8RXXGLENmdKC3SKPDhtdeZ83lV3HRhRcManGxGRvC4QjHSo+TlyJwO069fJKWZF9xGUJA4ZxTyTqaW1pJm7GcpqamcZU8omMeePBrXyPBNfrXd1daIhFm/vd/j7sxsBmY8fP6acIx8IMpfwrs3BmzRCT4ITu7fz20o6bi4hB//Vs9DQ0GBQUuPv6xdPx+FY/fixqO0lTXQDQcAaCuTmHffhVF1Zk9K0hqoP+3kIHMtHHxIO0pwVCUpZga330Me/YprMcy3rq02G/5+bHfv/9rL/v2aJhOSPZZtIUFL211sCwq+Ojl4W7KUW0tvLFRISlJ0rGsRDgM77wrWLhQsGjRxHqfYFmSZ561eOMNSSQCeXmCmz+kMGnS6T8fuh5jS0JXz7Fur2lGIJrfL/jQB13oukTTepwjdlINm3GEkpWNdvPNGE88jnXgACIxEZGZiXB2X0hZWhY0NGBVV6N4PWjXvAd11epxcU+3sbGxOVuxFaRRxDBM3A6JQ4MVKyxcLkl9vWDSJElh4eAT6337QtTW6cye5ebgwTClpRHmzvUihMDpdpE+KeY20NgIz7yocuiwghBw+JjFbbeZJCf3XW/1yYq4rQ1nioGVI4keidLa2GXhPwEJKUk4nA7aovDcfhf7q1WEgCWTDNYURHFq0BaCp19xorZI/AEItgoSUyTBkCBZs7hycbRbW1VVgsZGmN1lsXJ3+7pO5RUDKEjjdPJ97Bhs3ChJTRMkJsD+YnjtdYuPfHiEa0L1198BxqHr5sWLDA6VqOzbp6IbMGWyRUHB6LmTORzjcSEmG5vuKNk5OD5yK9bePZhv7cA6dhRhWeCIJZfBMJDRKCIlBWX5ShwLFqBMHz9xRzY2Ex17oVib/rAVpFGkrq6NoimQnhQzOy9dKulp9RhoHp0SiF1Ghw5FSExUSUw8dVl1fVlYWio4dlwwb17MalRcLCgtFaSkyG4NdBhdPD4vwdYgHp+X/l6oD3V+39oKGzcqlFcI0tIkq1dZ9MicOijxtGlZknBbEMu0CGSdirWSUtLS2IwRdfDs4RReO+IgO8HCtATPH3ChqXD5zCjBkCAcFbg0SHdZNDULMhWLiEswJcXqtQ6SxxObm0Qisb87xtCyBL6BMqmP08l3KBTrS1Jie1p4X2zh3hHTX3/jHIcFCw00TXLosIrTCYsWGr2SNIyGzjnu9NZxJ9BZzgQYb5GUhLpyFcp5S7EOlWAdOwotLWAY4PWhZGSgzJ6NlZKKYifssLGxsTkt2ArSsBn8ydtXiYFeuq9ckYBpQk2NztxCL3l5ffvFOp2gKTElBWJxMp1eGV0aEO3/JKQkUX2yAk+PGb7o5+/BiEbh739X2blLweeTvP224MRxwW23mfSxbl+vfsaLaZq0NbXidLvwJvi6yy4ECclJ1DeGePuYQXaCSro/ppAaFrxbrnH5zCiBJMl583Wef81FZaWCxwOYkJZisXS+0UuwKVMkBQWS3XsEk/NiblonywQZGZI5c0aQ6e4MkZ0NOdmC4mLw+STBoGTWrDM/yRLAvHkm8+b1sV5Y+/EYDSnPfE97MO4EOsuZQOMtnE7UwrmohXP7LjAai8va2Nh0w85iZ9MftoI0bAZ/8sb7bO4o53IpXLYmadDyM2dKzl9usXNn7LJbvsJi5szT9/A8eVKwd59gxoxYILxhwIEDgiNHBEVFg8da9fW9VwIHCdKMudYlBpJ6FZISpLQItbbhcAWwpKDDWmfKUxY3VYUv3R5CKoJDx1WEadJSZzEp0STg0XsJoqrw/veZuF0qB0sEhgFTJkuuuNzqjEmaSAQCgptvVnh1g0VLMxTOFVyw+szcruNWkMcsc8cY1m1jc45yOpIzdHDxRRee1vZsbGzOXWwFaZTQdROPE07HkkSaBu9/n8WK5TGFICdHog7i5Ko5NAxdR3M4hrUeU1csK/bpaFNRTm0fLt2UI0sSjUQItYUIZKX3WUhKSU1ZFV6ng8V5Ji+XqBiWgikhpAvOyzsVW1Q43eTbn2/j8WcVHvm9SXOTxYEayX3fFnztP2H16u4DkpoKH/2oSU1NbG2djAxwDJZIbBxPvqdMEdz28VH2gh5hDNIZ4YwLYGNjY2MznhCMvYXHfvRMTGwFaZSoq2tj0TRITRz4UhutebSqQl5eH9aaHjFIgpg1JZCZTvXJCjJys/sqOiS5cnIk06ZJDh6MxR/FElHA5MlDs2L1bNM0LSKhcGwldkuSnJYy4P6xfqVxZWoUhwq7KzRUAZcXRFmVr3eWa2qShFoMDr9rYYQE8wtFLLnFYYuHH4GZMxUyMkSvujMyxoHVY7wywhikeMbVjkGyGTH2eNvY2NjYDANbQRo2w3vyjvmzumcMEjF3tOb6xgFlGYpcXi988CaT555XKSsXzJ0rufIKi0BgCJV0cYOTgKkbhFrb0JxOVFXF5Yl/XQKXBlfPjnLVrJjVqKuFzDAkf/yjRfFBi+oqSVqaozOldEqyoLnZYM9eyaUZfV8KozWJP51rQI0mHXL2/D+u/UZoTTqnY5AktEZN/M5xkP9oqAd/PDHR5LWxsTmt2FnsbPrDVpCGzcR68kaCIQKZaYMXjJOMDPj4x2KLfCrx2Kc7jEvi1P8daxvpkSihtiD+pERUbfi3kr5cBxUFkpNjk/W0NEl6uqT0mIIFTJtm4fPFLGDDbpNYPwZzW4wnWcd4RPTz/0B0jsdE6eQ4Q0poCutYEvyucbBI7FAO/lmInRrBxuYU9vVgc65gK0ijgK6beF2xbHJdqWkWbD/q4ES9QnayxdKpBtnJpz8TmhCQnptNQ1UtCYGkUYlD6iAe5cg0LSyzd7YyI6oTag3icDlIDKR0ymRZcOiYiiVh5lQzPgWsX/kEt96qUFAAf3lMMmuWydSpEikhIcGiuBgy0kc2GOI0vF0Ph9sXwR3bBb/jZ4AYJHv9ypFjSkj1jAPl6BxGVQRgYfZx77KxOVeJPcslijg7crPZWexs+sNWkEaB2tpWzpshCCScugwa2gSPbPZwtFYhwS3ZU6axv1zjttVhMpPiV5IGm3fX1kJNTWzNnsmT+1dYhIBAVhpVJ7rHIQ21vaGiR3Qi4TCW2bvPDqej29pGHezco/H3Z91YJrz/mgjLF+ndfpfE+uNuX9/J64+lL+9wnQu1tfWqc/pUyMuFPbtjqa+FgD3HYFIOTJuqE2wdcVfHhFBY8OLrHvYfciKEZGFhlEuWhwAItvbu52gSjcaSU5yNCo+UE+A96Fk47hMJTQFNkbS2BfEPuAiajc25QygcQRESh+03ZnOWYytIw2ZgVWJPmcbRWoXCHBNViS1hsa9M5e3jGlfOj/a7X0+6tlBZaVJfL/F4BFOmKBQXC/71+CkFaflyuO49DJrRriMeKTGQ3GvyO9Q5WU/PuQ5CbSGi4QiqpuLyuHH0XJG1j2QSHTQ0KTS1xLbUNfSWKLa+kyAhKZHqskr0SPfxdLp7m1kSEuCDN8Grr0LJYZAWLF4EF18EqUOJnTrNvLTRw8btbjICJqal8PIbXhyaYE0/qbqb6xtJDCSPqE3DgBdfUti9WyFvsuSG60x8vsH3szlLmcgxSCNACEGCS9DU3ERSYgKePu4rNjbnEqZp0tTcjNcRuz7OBhQRZ5jACNuwmXjYCtKwEbFU0zWtFOULUvzdr7CmoEAVoLZvVkQsmUB92/CulG3bdJ5+JkxTk8TtFixa5ODIERfNLYI5c6C5GTZuhBnTYd68gevyJcZWc62vqgEgJSOti6IkhmQx6K+oEdVRVAWv34eiKn3GIPVXx8JCneNlCqYFSzoWc+2zcUFqlzTgdZU1pGalo/WTa32KD277BDQ3SywLkpNH564VTwzScIhG4dBxL9mZgsx2N0ChKBQf9XHtFX0fp+b6Rtxez4jkKSmBN7eC3w/vvAtz58aU73gZq/EYTc6Wh/tp4RyOQQr4VEK6wYmTJ0lMTMLv86Kq6hkZClNKVPu8tTkDSCTRqE59QyOmHiY1xZ462pz92Gf5MNF1k+rqFlyahc/t6GW1yWp3owtFweOEqAERA/ICQ49Bqqw0eebZMACFhSrNzZINr+pEDQfz5qqdiQjKy6GxcQCZozqaQ0PVtM7U3wAN1bUgQdd10idlIkboW2waJojY2ktKh4Y4hOd6eqrk9pvDg5YT7W3AKfe6vpSjaDQW1+R2x74nJo7uJGOsYpCEiCnW0S4hEKYVU7pHMk8qLzfZ/GaEcFgyt9DBwoWObgqDqsbW2uqIe9L6ukvYMUg25wCKIpiUrFHfZtLSVEdjQ337L6f/JLekRLEvLpszQuwB69Uk6UkqTu3sOQ8V5TRYkOwgpAmJrSANk7a2CKZpsXiOgyRfuztYSLC5woFpQa5mkpdgUFKuobbHcczLNVg4eQCLSB9IoL5e0tQomVOoIoQgKUmgagaqaVFZqTJtWsyCpKoxRanPeiTUV9WSkZvdOYHt+L8ju11LQzPhthAev3dEb9jbmlvRHBqeMfLbH4ousmuXwgsvaug6nL/M5LLLuid9GDW9ZgyeFw4HLFlg8Nx6J9GIQlOTIBgSXLqyXXkcwE2xv9+bmiz+8pcgpcdNHE7YvdtAVQVFRadcIKdOhauvhnffganToKioD+H66+8ojUN//emIP+tzH9nhfhlHXTY2caIogrQEjVS/xLDAsuQZyeTVFDZJdGn2Cwib045AoCoCTbVPPptzB1tBGibJyR6CwVOxL21t8L8bPOxv1GhsBL1KMCvBxOORLF2oU5BnMTvbwOMcWjtlZQovvOxiz36dhmbBkoUSRbVQVbj4EsnRo7B/fywG6cILYc6c4fcpISWRcDBES0MT/uQklDgcZ/uLQYprx4Em9wMQb9m6OsG6pzRCIYHbI3nxRY28PMmcOaeseCO93Y/1OkiXroximZJH/uyhslwhM83iwB6NxfMMUlJOTdP6rKsPN8ayMpMTJ0zmzNFQVcG+fTpHjxndFCQh4KILY5+xWgdpMPrrz0DV9TdxtB/pI+QcjUHqiRAiFpg+2CRxjMYpqAvcDsVWkM51zvHrcLRRxeCX9Gi0YTPxsBWkYXPqjK+uFvzlr26e3eIkGBK0RQSZ8ywyp5mUlqnUVSh8cHX8iRk6qKsTPPo3NydOCgKpJu+8G6a8XDKrwGT+fI0bb3AQDp9K0pCX192U29oqcDjkkFJDu70eWhqb8VkWckBXu1gMTH/XvZSyS6awPuJlBohBGipSQl1ldbd4JIgpra2tgtxcC7cb9tYJWkc5W128sg/Q/QFxOCDBCWl+i6VX6mga7Nuv8trrDm68YejnlMcjcLkFDY0Wfp+CYYLX2780PcNPhtRf+6FwdnAOxyANC3ucbMYS+/yysTkt2ArSCGkNWbzynJtDh1QWzjbYfkSjfpdKINtix1En9S2CkztVli40OK9gaO51R0tVysoV5s4xmTvHTV6ewskyuOyyKJdfpuLzCXw+SE3tvp9lwUuvOdm6Q8PlguuujDBnZiyQxdD1QddBSsvOpLG2Hmn1Hy/lTfCharF4JkUR3V5qqZpKJBgm2NKGZVn4Ev34kxJ61TEawfxStieEUJRe8UcZGZKpUy327lURQpKTI8nLG5lzzLAtZiOguUUgFDozySUkSGprh+fUPGWKyoUXOtm8OUpDvUnRPI1lS4do1oQhvcU8E2NmY2NjY2NjYzNcbAWpF0OzX7910ODtfYLkZIvcTIlfhaaTClUNKr5kEyMKwguPv+miuU2QniDJSLHIjDNZQ4cRRlEEubkuNKfKeeeBz9v//sdPKry60YnHI6mpEzzzkovp+UE8fm9nHNJACAEp6QPnvg62tBGNBFFVFbfXg9pllVxfoh9fop9wMEywuX+TzWgoR6HWNkzD6Iyj6orbDTffrLNrp4VuQOEci6ysHgpS18Mdx6EftUn+EE6ztFQLIaC2TqCp7VaxScNbcFhRBNdc5WbRQifRqCQrS8XtHkCQ/uQchUyHAyJBNySGIfF4eiuDtpeJzYTGPoFt+sI+L047dpIGm/6wFaRexH93SknxYlkSnBYHjyqkpkrykk28iZJwRFJbIcjMsFg6U2fnEQf7DmlMDpgEEi3ef3GEedNiVp3+3rBPyzeZnGex74BKol/S1KywZJFOZoY1YCC6rguiOmRmWJimQiQSW/cnMSWJUGuw20579ips2apw1ZUmubnxW1e8CTFzRjQcJdjShtvrxuHqbolwe90xa1IoTLgthNvnibv+wZBS0lzfhMvtwpuS1O+DJZACa9aYvX+gj4D/HvtXVirs2avR0gJTJlvMm2fgdPbYHwgGJa+s16mosJgzW2XVKm3w+K0hPAQXLzaorIqy4y0HlgnLz9e54IJodyE6/u4pXF9NK4KcnDhX+TtDD+uycp2//6OJ1laTKy5PYNmy7gk/JvQc4kxMgs70xGss2h+szjPd54EYTkCiTW8mytgNJGfX38ZzXybKWNvYjBK2gjQCPO0ZF5asaGFrROXFN10YUSg7JGiuVagy4WSSQlW5IBoQzJtkMneayeEylee2uJiZF8Tp6P+eEwhIPvLBMK9tdFDXoLD0PJ1LL9RxOHqX7VrHlDyTRfN13tnjwOmUXHqBjrurbiIlsj0u6MRJwYkTKlVV1pAUpA6cbme7FcdEc/aOOdIcDiKhMLqu42Z0FCQpQVqSaChMUmpyR5NDZqBdjh9X+NOf3VRUKKgaIGHFCp2bPhDpfBvUsf+rG3ReeFHH54WDB00SEwULFozepaVpcN17oqxepWNZsfOi841UfwreBH+QvbUzRElJBJ9f4ZX1rSxa5MHhmOCd6uBMdONMD91YtD9YnWe6z/EyRDnl0G/T44ZRTzBxNhzjs6EPPeh6jo7381VVTq1XOZZt2Ew8bAVpFPD4Jd5MSDIkb76mUnNCjY2sGyKWoCmi4EiH2VMs6poFmippCQpCEYHTEbt7HC5XKa1SSPZLFkwzOtdVysm2+PAHI0OSx+mED90YYeVSA6dTkpvT3R2robqOlHaXtIsuNJkxPRarM1wSU1Noa2ohWF0HxBI9dFiTQq1BIqFw5+K0HewrUTl4VCUpQXL+Qh1vnLqTlKBHo7Q1tZA2KWvYMg/G5jcdVFUpzJtnIgQ0Nwt27HCwZInB9Olmt2dFZaWF1wPTp6vs3m3S2Bj/E6GhAQ4dimWmKiiwSErqu5wQMcVo3DDGMUgJCQJFhdZWi6n5zl7rjNnYnIs0h40xmVBb7bPYsVxnybQkAW8fb/dsziok0Bw5FW/dEhla7LWNzXjBVpB6MXQ7ckubQmtIYf4Mg2f/5QQ3EABUIA1ME5SIZGeLSsVhgVEnOH+ujs8deygdrVB45CUXdc0KDg2aVkS4ZKE+IjGdTpg+9ZRrWUe8jsfvJSE5qfNNntcbm5iPBCHAn5wAxBIxhIMhQm3trnwCEgNJuDzuzvIHj6g8+qSbllaBaUFVjcLN1w+uBEpLEmoLYpomKRmpg5aHOI5mPzFIJ0+qJCfLznFKTJScOAGNDaJXfXNmqxQXm+zebZKWpjBlyuCviyxTcvSY4KE/Ojl+XMHthrmFJh+9VSfQM/xrtF0bhlLfGYpBWrnch6YqBEMmixd5e7ks2t4eNhOaYZ7Aie6xWQcp2L4atdc5Nm8ipIT60CDPNJuz4sYmgCT3qaml0Mf5NFNp/4x1GzYTjnF+5p4Jhn53SkqwCCSZvPK6g6ApwAe00GlFIhMMRVBbo+A8IQlYkrYmwfFKhWm5FsdrVGqbVYqmGRypUDl4Uh1cQRogBknK2PpJ4bAgI8MiMTGmiLU0NndbKHasbsZurwf3ACahsiqFplbB/JkmVbUKJcdUIhEGTEduWRatjc043e7O+Kdu9NOXQUMU+nFLy8sz2bTZQXZ2LMCyqUngdnW34nQ0uXy5RkKCoLFRkpenkJ8/8CSjulry2F8t/viIk8OHBQkpMCVf0NqmsqDI4uKLe8RMxRtnEWcM0pCO+Rl6WLvcChdc0MdxbmdCzyHivO5az/CbV5em4hitBTzsGKTu2DFIo8NEGTs7BsnGZsJhK0gjREqJ22XhN4O0NXoRmhPSFKgGosRuKPkgnRDdIzBKBRVhhcZKhSfyXHz24yFSEyy8LklJmUooAtk9M9wNcGOKeUZITv0reOEFJ69vdBAOCzIzLT74gTCJ3qpe6wQNxUVqQJ1qiDfOlCSJU4PSMoXmVsH8WWafyQ+6NWFJIqEIiYHkvisdpP1Dh1Ve3eAgNVVy1RURvN6Bd1m1UufYUZW9ezUUVaIIWL1KJz//lPLSsb+iCObPj+9SikYlf/ubxSN/Ehw6JDAMCLUYHClRaaxXiQx1aaNRikEakqXNZmTEkb8j2a3RGDZIdp+ZW3RQNzEtOXoKkh2D1D9xyNkY0klyaxOmS6eNiTIg51gM0oTCtiDZ9IOtII2Qyspm/Iag+oTFioURDhzy0mQBBcSsSApwECgD2SipsVSSXBYOEZu073jbwcplOu9bHWH/CZWMZItLFvSYJQ9wY5LSoqasCocz5ttdVR/g5VdUkhJNsrMsDh1W+cujYb72jfRhp5rs2nywDcoqVTxuSV5Hqukh3jiLZhu8Z02Ed/ZpzJ5uceWF0W6WnF7KkZSYhtFrnaOulNUqHCpTURSYM9kgLal7vM7zLzgpPqAhFMjLNVl63sBv53NzLT75yRB792q0BWNptefONUacrrOuDl59TVBRobabrxTC4ZiS1dYKycmnN87IMCAYFPj9kkHWBbY5XQhQ2wdcHSwb4mjTrggr9gEfV5iyPT7oTByWif5yZKLLb2Njc0awFaReDP1uGmqLLc6amgT+RIumEwpoIhaSI4ATQCmQA1ZEkpVikT/ZxKFBc6tAUWB5oc7ywiH4aLeLKRB4/V40hwO3z8Pe4ghtrW4m50aRFiQlqITCHnTdHNCFLR7q6gWP/tPNkdKYgnTZRVEuvWDofuWKApes0LlkRXz7WqZFU30j6TmZff5+rFLhT6+4qapXQAjyM00+fkWItCTZeTSTkixA4nGDx9M1xQ79msfS0yUXXzy6fvOaBlVVSiwbXaqkqdEgFALFoZKfb5CX20c82BjFIFXXCP75hJvKaoXp+QbvvzHSuRjtmLU9RBmH+bPNcLEH9fQwkU7giSJnf0wk+SfSeXG2YFuQbPrBPmy9iP/u1NAQZEa2IDtL4HSAGTXIDpgIRUBIQgSoJzbK+SA0gWUIXA7IyrJQFchIOzUhHlI6zHYxhSLwJSXS0tiMEIL8aV7S0hxU1/qI6F4amj1Mm+4YkXLUIdau3Q6KSzRmTI25xL2+2UFD49jezU3Toq25hYTkpO7CdGFniYPqBpV5U03mTjE4Wqmy51hM9++Q7vr3RLn5gxE+cnOYwjldYnxG4JY2HAIBmDZNwTQtVKHjdOj4/SaFcwwuucAgJaWPnbrIdeykwu/+4uZHv/Xy+PNOWtu6C50USKa5vmHgc6l9lzc2O9m7X8Xjkmzb5WDXOz0yTJ3Jh3UcbmhD4kwlADzX2o2Xc31c7EmwTV+Ml/NivFwnNjZnENuCNEyOHoryyvNNTMtWmJTp4qE/+6mrN0Hq4FWhzQEzABexm00yaIrEUynJyjTJzLI4f7HBovmnXL36zU40yERVCEEgI426ihry8tK54YYIL77opLlZMH+uwXXXDS1NeH8YBiAkmgZul6S1NRZD0598jc2CoydUhICpeSZJCfHddTuqi613ZBGNRE/FHvXRjm6CqsYyzsW8UCSm2UNxSJKsXnXmsyipquDfvgKlxzWOHpV4vZA/RbB0scVVV0o8A6Q7r28U/PUpN5U1CokJkvVvOonogpu7HF+3z0NTfSOJPTPh9UE0GnPt8/kk0hIYPdfTPZsCycepojfe2x3TNUwmgJIkOv+xsTmHOJfOeduCZNMPtoI0DFqaTF54qpm6aosTB2Dd0wp4PbGMdQ4JUoBHQpMAP5AKmgpOLyy5zCQ3y+KiuToXTo9zwj7Y23QBqqYiFIEe1TnvPCgsNAiHBYmJkooKhcOHFfLzzWGtJ9PRfOEsgx1va+zZr6KpsOp8ndSA7FO+t/dpPLXeSW2DCkjSAxbXr4lSNHvwzFwd1ZmGQWNtPalZGQOWL5xi8s5hjeITKqYFaUkWMyad/gxgpgmVlQIpISNDdks80ZUFRRa//z+F115Xqa6RzJhusqBIMnPmwPWXVymUVyvMmW6iKOB0CEqOqIQj4B6GhXDZeQZHjqkcO64yc4bBvDkDjNm59MA8l+mIQVIgYlpEzJEtATCRsaTEpSpjlvp6wjDRX45MdPltbGzOCLaC1IvB76atrRY11REK8hz87EEvuERMOVK02NpHJrHvOiR6LbQUwIApiRY3zI9Q2qRytFnlQkZg0eghplAEKemp1JRVkpGXjdcLXq/k7Xc0/vm4i3BYcNmlUa68YuA0aS0tgsZGQXa2hdbj7Jica/HJW8KUnojFIM2d3XfSgj0HVe77hY/mFkFhgcHsqSYnq1TWveJkco5Jcnva8epqwfHjKk4nzJhh4PWeqsMyLaLhCG6vZ9B1P+ZPNZCXwJ6jKqoKSwoMpmRafQ1TbwZN0RcfwSA8/oTG7t0q0oKCmSYfeL9BcnLf5WdMt5gxI87JZ7tcTgc4NAiGBX6vpLVNkJIk0YY6f2uvb9pUk8/cEaKhUSEj3cLv7+PVuh2DdG7RPqgeh4rnHF/TM6SbY2dBm0gn8ESRsz8mkvwT6bw4WxCM/Zjbx3RCYitIvRj8TBZKhHmzNf7xLydRocVmrU5iHxOwgBDgg4CUZKVZSFOwZJqOEGBY4FB6P3mlHMDNbihidrnJlh5XqKtX8Psk+4tVrryi/92qqwWP/NlDdY3CgiKdD90UQVW737Nzsixysvqf2AdD8Id/eCgtU5iUabHvsIamgscn2XnQwc59Opcu19mxQ+PpZ5w0NCgIAVOmWHz45jBZ7XVbpkWwtY207O7Wo7pawZGjKj6fZPZss1NBK5pmUDSttwWkQ+6mJsHhwyoej2TWrFP7jVYM0qbNKlu2qOTnW6gqvP2ORnIyfOD93WXqPMaC+B+G7WWmTTY5r0hn2y4HlgS/T3LZ6mgvRTbe+gBSUiQpKWbfXkdnWwzSOFT0zrp24+VcH5fxIIPN+GO8nBfj5TqxsTmD2ArSEJFSIqXBwkV+/u8PGugWOE0QIUjwgqHG1j9qAZyQMd8iwSGpCAnePaGx+6RGTqrF7AV9TOaHGYPUsxKJRLTvUDDD5O13TCIRQVHRwG5nR4+pHD2mkJkp2btPo74+Snp696nzYOsg1Tcp1DYoJPolyYkSs1Fw+KRCWChU1Sm88paTxbMNnn/Bia4LCgtNTBP2F6u8st7BLR+JdE7WTcOkobqOlIxUABoaBH98xMOxYwpOJ1x1VYTL1vRthTMMUNszaTc3C375vx5KSlRSEiXXXtP/fsOlvFzg9UJCQux7IMXi5IneB62/hWnjQdPg/VdFKJxhEgwLstJN8vvKejda2DFIdrtjhT0uNjbjl3PpOhGMfYzQuTSeZxG2gjQEolGDUGsrK2erPPh/TjwuE4ffgZ4oIGhAmwm+dpOLG1SH5NplEVo1gUN1YAmBQEIYTlarLJ7UMyq+H+J1NRKC9EmZ1JyMudkBFM4x+cxdIaJRwaRJA0+mszIt0tMtamoUCueYJCV1LD07iChdXNQS/ZKcDJO396hUVWkIAXmTJQ0Rgc8jcTolZWUKtbUKs2aaCBGb+GdmWBw5ohIOg9t9qlrRxYevtFTl2DGVOXMMyssVdr7lYM2lejelo7FJ8NzLTg4dUWhphvRUnf0nnWzf6iJjkuRkAygv02u/wegc534UhUAg5man67H4jaYmQUGHC90oKhcOBxQNFCs0TAYVb6TKUvs+40XP8vg86FGdcETH4dRQTvd6QzY2NjY2NjbjFltB6kX/U7hjR1vRa7y8+qTGxm0aiQkhUiIm1RElto8mYm8iVMAJkyZZ7C3X8KdI3jMvSsccrKZFsPOYxuoCnUBfcR9DoJvyItozv/Uok5Eh6dg60AR1ymSL228LU9+gMDU/lsp7aNarmII0e6rB87hoCwoUoLZSITPXYl6hwfsvjZDolLjd0BaMJZGA2N+ZGRYOR8y9LhKO4EtMwJfk75TB75d4vZLjJxRamwXTpprdlBzDgMefcbFtp8aJozolByyaVQdqkobSKBESVIfC0WSFpjZBsl/G3T3R64/urFppUFoqKDmoIIGsbIuLLjIH3GfcaAv90Z98w5FZDG3Xbk2PwTpQ+YVTKd6xn5Nl9UyflonbfY4H3NiMP8b7/cFmaNjHc3xiZ7Gz6QdbQepF33ew6qo2ju3xceyQkwS/RSiooDm85OcFCVdAMy7wawgHOCKS1HRJcgLousChSrq+oE5wS07Uq7RGRDcFaaAYJCkhYoJLHUKcUty9O/Vjbq5Fble3rWG89a+vV7nqwghOpyQUFpSeVLnpmgg3taejtiyYP19nyxYHiYmSaDRW+8oVOtIyaGtpw+Vx4/K4ugk9fbrJ9e+JsP0tjcBsi6uu6p5worJKYecejZoqk+1bJC3NCuFUB2pIkqRFEUGNeUUmSVPg+e1OpueY5KVbZAVG7qYWCMBtH9c5dEjh9e1OKmsdPP6SxvuujpCX032tq5Ecv7FivD27Rb9fhknXDp7Ojp7rsTb9YY/L4EwUOW3iYyIdz4l0ndjYjBG2ghQHUkoqy00qT2pMn2ri90tqm03e2qWxYJ6LK99r8s/NDuqbJZpLkqRKpuSbJCdIrl4dZutxF7oJjvZsY7UtCilei4Cvu62nv4nzyWaFpw64qA0K0rySa2dGmJx0+tLvDnaf7HkvFUiOntAI6QJNAZcmSU461VdFgffeGCE722LvXg2PR7JkscGCBQaGbmHoOomBpN5yCFi5SmdlH+sZtbQKHn/JxY79GsVbTJrrHEipABqmExrSHISSLY4lSI6eUGnbLMgOWCT5JNcsjbJ8Tu8660KCilYFrwOmJJqog7wF8vvBmyg4XqmRmCA5fEzl5Y2ST3wo3K0PXQZq3DCg6yTj5HkZjxCjafUaDc61duPFHhcbm/GLfZ3Y2NgKUjycPNnI+bOcvLtRoGkxxWT6FJP9xRrlVSqzCi3esyjM02+5qGxWEVkSNUPyxWuDFE43aI6q7KtQ8bskUVOgCrh8bhS/e3D3utao4G973ZQ2qmT6TQ7UqQT3urlrSYgEV/wuYmNJT1eonGyLo0+paBpEooJAismU3O5xM14vXHqxzqWXxBQTy5JEw2Gi4QgpGWlDluGlN5wUH9UQhkVzo0BaSkww04AMB9IJkVaoqlBxeAWugKRwsklZrcILOxzMyDFI66LEbTzh4JXjDhrCCk4V5qQafGBmzD1woAE3jNh6SF63RNMkkSjjRLsYGd3E79Gfw1UqTSHBzCyz/3N6NGKQhuQLaWNjY2NjMwi2i51NP9gKUi+6T+FaWsLkpStkZ0jyp5gcOKgyaZJFOCiYM8Mgd6pJQ7OgokohyS2xPBZJqRYpTsmcKSY+F9yyMsz2oxoHK1US3JIFeSbzcuMLtK9uUyhvUShINXCqkOQyOdygUt2mkOAyhxsrH/+PQ4xBApg1w2T6NBOPS6LrsVTSaYE+Js7t5U3DJNjSih41CGSmDihXMAS6IUjwSpR2i5yUUFKqUlkhOLhfQ8r2wtIArwre2KK9llCJGDB1kkl5m8JrRzVUAdE2wclalbSk2DE53qzw/DEnmgJzUk3CBuyscpDltbhm+sDrSE2fYrJ4vs7egw4CyRYXLdf7HT9DB1Ubny53QFzWmIMVKo9sctMUVFg4Wee2C8N9ro013mKQbEXKZtxjn6dnF/bxtLGZUNgKUi+638EaGoIsXeLA5YAPvC/Ck085KStXcTgkH/1ImBXn63zrFz72HNaoOCkIRhTCGZDaJPnrMy4+emMYtyZZNV1nTeHAqaX7ik9xqRKnKmmLCpweSWtU4FIlLm14yR0EUFkpsSzIyRG9f+xjh6He16flmSxfonO4NLZw64pFeufisH1h6AbRcBR/SmL/QgObdzpYv8VB1BAUTDF472VR/D6JENDaIln/hoOmkACXFVuPSorY2lSajJl1XAoRh8qBcg3RBD6nJNktcZqS8lbBwvbmSptVWqIK89JiCpPXAakei3dqNK6aFmWghGcuF3z4hgjVtTpeT3fXQogd43AYnn/Jyf5ijcREyVWXR5kxPc6MhmPEcJ/dtS0K9a2CRI9FWYNC1AC3c+TydMgSQrJJmCQjOI+hrojbBTsGaXwxQcYlalpYkdFaLVbgdw3hHB7Px89m6Eyk4zne7x+jiW1BsukHW0EagPLyRi6Y78Cpxe4UmZkWt308zNslGoaEKVkWxcdVXt/moL5Moeq4QJrQVq2gNMFzphOvT3K0TMW0YH6BwdUXRHH1M4Hsy5KQnWCxPFdnw1En5S2gKnDhlCg5CcOLQdq50+KJJ00sC669RmHFisEf2NKCmlqBokBqqqSqSrBtu4rbLVm9ysTj7X4vTfRLPn5jmJJSFacD5kwz+rYqtON0OfElJRBuDeJ0ORF9DMTh4ypPverEoYHXI9n6jpNEn+SGy6JYluSldwRNbe2NuDUwJBgKtMnYoLkV8CuYiZI2VYAWSxZhNkFSIqiuU21pCoDEknQqQ6YFbld8zwxNo9/FdIWA195w8urrTtJSJUeOKfz9cRefuSNEcvLIJ2K15dWkZqUPeb/hxiDNzDaYk6NR2ypYUaCPinLUlXIkm4VFAFhgKTgGM7fZMUhntt14mQDj4tZUnIMFHsaJlNAcMYDYMhCjpXJNJATjN0mNTQ/sYzTuWLt2LRs2bGDt2rVnWpS4ufjii3nttdeQcmLe8WwFqR+iUQOfS+Jzic4bumnCk1tdbDngwDAgxW9RNNmgrUlQfgykHjO3mDocLVFpbALLK5k7y8LpgPVbnfi8kJ9tsuktB6EwFM02Wb5QR+1HT1EEXFsQJT/ZojEsSHJJ5mUYA1oxBmL3bovmFolDg11vS1asGLi8YcCTT7rYuUtDUWDFCp2jRyV79ymdD7wrr+ht/UhOlCydH58boVAEqqZi6AYN1XUEMnvHINU2CEJhwdQZsbZagxbHK2KDtqlY45CuQZKEWgEI8AERAY0C6oHs2GaZIsABqgUhn8BQY1kFrS7Xb0GyQYbXwcEGlYBqUVmr0GIK1iwNj8rDvfS4gt8nycq0SEuFw0dV6uoVkpNHbkUyTRNV00Z9EtJfdWkJkrsuDRGKCpK8o38TzENwhVRJQvRSjjpaiyvj3bn0RtRmVBAC1FG6kLrODyRQH9LRhnAT1xQxoU9fAaR4HNSHdFK9dkp9m3HEWWJB+t3vfse6devYs2cP1dXVaJpGfn4+N9xwA1/60pcIBAJ97vfoo4/ywAMPsHfvXpxOJytWrOC73/0u5513Xr9tbdiwgZ/97Ge8+eabNDU1kZGRwXnnncd9993HggULxqqLpx1bQQL6mj1VVDRz9VInUkJLm8DvlRyuVNl6wEF2ioUqJG8fdtDUqjA112DP5vbVTVUgGrO6NFSp7HhLkByIsmCmQSissHOPyps7NBqaFdxOKDkWm8yuXNy/+52qQFHmMBYH7WNSOHWaYM/emPVkxvSByxuGZNMmhQ2vqeTmSgwDXn3ViaoauF2SSASCwfgf29U1gl3vOHA4JEsXGyQknJo1OJwOEgJJtDY297lvol+iaTFFyeeRNLUI5s+MWWk2nnASSdMgEagFDEAVsdgjBSgDIkBOe2XN4MqRaMkQsQRtTkFTlztYmlfywVkRfr/RzUtvOYmGYFKiZA8acxMNMvqKpxoCmRkWu/c5aGqSNDQKEhMskhKHYRHsU0OI47dRxqmBc6gun3EqLE4Ey6XaZ9khdW0izy5tzh4kRAwLt6bgc47AZXSiIUBMzJfINjZnlOrqatavX89zzz1HSUkJv/rVr5g+fTqrVq0iISGhs9wjjzxCQ0MDF1xwAdnZ2UQiEbZs2cJ//dd/8cc//pGtW7eSlZXVre7vf//7fPOb32Ty5Ml8+tOfprW1lccee4xVq1bxwgsvcPHFF/eS53vf+x733HMPOTk53HjjjaSlpVFVVcWmTZvYvXu3rSCdfXSfPdXWtrJwusaeEo0XNzsJhWF6nsnMAhPdhKgObx1wUl4XWxV20Swdl08SCYmYguQDLFCiEG2Cg8fV2CTSIXE7BLUNCnMLYoucHjmusq9EHVBBGqVuAbB6lUJWpsCyoKCg/xikujqLf/4rzJtvQvGBKImJLvLyXJSXS9IzTMrLITcXlp8fn9UjGoW//sNN8cHYQk4VlVFu+VCk3/L1huBgWCMqYYrTZNZUk0vPj7J5l4PGFoU500zWrIglTNhZ4cDphZAKVirQLGMKUrA9BkkFWoAaYpYkL0TcAq9lIXWB1KBednnFIyGgWHiqJQtTdaZmWyjEjuPzbzr56DURhICTVQpv7nZw+KRKsl9yXqHO4tkDuxMCXHKhTkODwpFjKn6/5OoroqSlDWP2MNCk/wwrBI1NgspqBUWByZNM3O4eBbrKN5iyZCs3gzPRLWRjLf/pGJ842pBAUDcJ2FYUG5vxQbvTyZi3MQweeugh7r77blpbWzu3ff7znwcgLy+P48ePd25/8cUXcfd60MK3vvUt7r//fn7yk5/w4x//uHN7SUkJ9957LzNnzmTbtm0kJcWWVrn77rtZtmwZd9xxB8XFxWjaKTVh3bp13HPPPdx44408+uijeDyebm0ZxjBe5I9jbAWpB1JKwqEomnCx7lUnoYhCcoLF1t1OhBolM9ni1Z0OWkMKLqdkeo6JokBeocnxd1R0j0AKCVETh7RITZGYhso7JRrXXxhh4UyD5193oevgcEAoIvDEke57tFAUwcyZg1+tz78QYfdug7w8jSNHTV56Ocy8uU4syyBaZhEIxBzpW1okWdmDX/8tLYLqGoW8XItgUHD8hIpl0acycSyi8Fi9m/JoLFV3giK5KinK1RdFWTzXIKpDRqqF2xVzXamVCrpUwCMgAIRiMUaEJGQKSCEmYCLQMS8JQWOLgqZI0t2SFGf3xXGPVajUNyvMnWZ2uqvlplscOqnR0BwlHBU8/IybyjqFQJLkaLlCyQmV5rYIly4dWNlNSpJ87JYwTU0Ct1vi9Q56OM448c4vDQPWv+HkzR0a9Y0KqgrZGRaXXxRl4bx+bp7DSm03QkHPNiZ6n8fpBGW02zjXjSh2HJKNTXyUlZXxqU99iuTkZB599FHKy8vZtGkT999/P7t27eK5557rVr4v5Qjgpptu4v777+fQoUPdtj/00EMYhsE3v/nNTuUIYO7cuXzsYx/jt7/9LevXr+eKK67o/O1rX/saCQkJrF27tpdyBHRTpgbi0Ucf5bbbbmP+/Pk899xzZGRkxLXf6cbOrdGD48cbuPI8J80tCg3NCvmTTAJJkiS/RUur4AOrInhd4PdIZueaLMyPuVydv9Jg0XwDr9uEtiCiuQ1hBDFbg6Q5Qiwp1PnEjSEuWhZlboHOoVKVvSUqmakmq5aMgfVohJSdtEhNEwQCFkvPM8jKjHL++REmTzbIyrQoLJS0tEJVVXy+8cnJkpkFBpVVCq1BwaIFpywtlmWhR3QsIxY/80qzkwpdodBjMs9joglY3+yg0RRkpVlMzokpRwAHGlWkP2YwcgqgDnARO7MziFnzjPZtglg8UgNQATSCbBBoVZL5Cd0n74oAIUS32AFLgqJIFAW27dWoqI0pUDlpFtNzTRJ8kk3vOGhpG3xEVBUCgfGjHDU3C/71hIvfP+Rmz97erj/xzmfe2Org2VdiiTbmFJhMn2JS36jwj6dclBwZoUtRDyEkfUw4B4pBsrE5g0igMaQT8Jy71qNAexySjc24QTlNnyGyadMmdF3n3//937nuuutwuVwoisLkyZO54YYb+O1vfxtXPc888wwA8+bN67Z9w4YNAN0UoA6uvPJKAF577bXObe+++y779+/n8ssvx+/389xzz/HDH/6QX/ziF7zzzjtx9+vBBx/k1ltv5YILLmDDhg3jVjkC24LUTtfXzrG00YEki5REi2NlKskJFk2tCudn6MycZHLtsgh7j2nMmRxzL6tvEVxwvs6dl4f5yYMKL79iovoEaWkWTY2wd5vBh99rkpUem6XdekOY4iMahgFTJllkpg0ef1JbK3h3t4ZlCWbPMsjNjSNmZahv07uUn5Sr8PrrBm+9pVNbK5lVoHHjDQZvvqnxynpBSysk+CEjI76Zp6rCTe+NsGC+iUOTzCyIjZ1pmISDIaz25AKO5GROVipkOqzORBTZDovisEq1oZCimd1krYsoFKQZ1KcRS9SgxhJloAO6gONAVELEAs2IKUqJAjVdxT0ZvF5BhikJtgjIPCXvtEkmWakmJSdUJmeZRHVBeY3KqgVRkhMkpRUqyQmy25vQtCSLYxUqdU2CBN/wZuThMGzb7qCmRiEzw2LZMh1nf5nhRjEGaf0GB+tfdeJ0SsrKFbKzQqSmDq0PwSBsectBUoIkKyN2fioKTJ1ssv+gyvZdGgXTuh+/uOinrB2DZDOREIBbU87dc1Fgv6iwOadpbu4eY+1yuXC5XH2WTUlJAaChoWFIbaxdu5Zjx47R0tLCzp072bBhA4sWLeIrX/lKt3IlJSX4/f5ecUkABQUFnWU62LFjBwCpqamsXr2aLVu2dNvnlltu4Q9/+APOfics8I1vfIMf/OAH3HTTTfzpT38asOx4wFaQgI4nVk1NK4tmOFAEZKRKblwT5fk3YjFI58+Pcsmy2Juvq5ZGaWxV2H889kZ8UprF1cui5GVYPP2M5N23JVFT0twUs0JYUYWshFOzPK8HFs+N31ezsVHwyJ88HD6sgpBkZ2l84rYwOTmDKElDfRB3KX/VlS4qyk3274sSjUjmzdfIzFS58kqJPwHq62HWTMmsWfFX73ZDUbubVTQSpbWxDUVRcXncONvzQ5sSkjRJpa6S1q4MNZkCnyJJULo8Xdtl9WkSs0UgjwkcLoj4gGj7xySmGDXJ2HdUsExwgF4msaoEyQsluVMtokaXzktITpC8/5IIz2xyUVat4tAkywqjXN0e95SWbFFa0d0i0hoSeFwSn2d4swApYd1TLt54w4HDAYYhqG8QXH9dP4vTjmLcTkuLgqpK0tIsmpsVQqGhz2bqGxUaGhUmZfeOS0tJlhzr6lYpYkp/fb1AEZAzyerfmnauTiiHwkR3LTxHYpC851Jihp7YypHNeOQ0ZrHLy8vrtvnee+/lvvvu63OXFStWMGXKFH76059imiamGV+899q1a7tZfq644goeeeSRToWrg47sc32RmJjYWaaD6upqAP7whz8wdepU1q9fz9KlSykpKeFzn/scf/7zn5k0aRI//OEPe9Vnmiaf+tSn+P3vf89nPvMZfvnLX6IMFqw9DrAVpHaklASDESalujqtAgtmGcyeahCJxrLYdRzPyRkWt18dorQq9rDLzzQJtC+EquuStjaTpCQNlyZoabEwIyY11Q42b1aZOdMYckD+0aMqx46pzJ0bc0vbvUej5JA6uII0AlJTFb70JR+LlzhoabZYvTqmwHg8cNmaHoufMgRjgIRIKEQ0EsWXlIAQCmqXtUZUARf6df7WoLI/pOIQEJGxbdmO3v0tSDCo3SOorlFJn2Th9gjqyxUsBzGlyGpPnKFKsJT2lVotpADjuKDFhIQFFnmpXW4+7Z2ZOdkkPztIZZ2C0wGZAavz3Fg822D3IQfHyhUyAhbBsKCiVuHCxTrpKcObCTQ1Cfbs1cjJicV4VVUrvPOOxuWXRenD3XdUOX+ZzokTCq2tgvOW6GRndx/reI6x0yFxOCSRaCy2CkBv96aJRCEhAA0NgtJShXfeUTl6TKGlWSAUSE+XLF1qcMFqg64v1MrKFJqaBPn5Jl5PHEJMdEWB2CnaFNbPLQvZ2RyDJGPPl4l+iEZM+zuXZLdGY0gn+Rx2NbQ5Nzlx4kSn8gH0az0C8Pv9PP3009xxxx2dyRWEEGzZsoUbb7yRr3zlK30qOB2uc7W1tWzdupWvfvWrLF68mGeffZaioqJhy25ZVuf/f/vb31i0aBEAixYt4oknnmDGjBn88pe/5Lvf/W6vfr3vfe9j3bp1AyqE4xFbQWrn+PF6kny9H2EuJ7icvSe8qYmS1MTeVqBlSyV//ZtCVZUDIcA0LRRF5ZlnXSQmwfRpDu64PdQtxfVgaBooqiQabf9bxNYxGms0TXDpJf1fwB3E++A3TYtIMIS0JAnJSf0G6i72GbiVEO8GNcJSMNttstirx8r3mABX1yv4ojA52SQlWVIfEigeqA0pSEMiLWKudlLELEpSgFBAKghh4TAVrJOCJEffx8PpgMl9LPo6Z6rJB9aE2fCWk8o6FbfT4tKlUa5c0Y+1Jw40DRyaJByOdTQSBp+PftfIGk1mFph8/rMhgkFBRobVK3lGPMc4PU0yY6rJzt0aDs3k3bcFpUcFimbh8gjWXGjyox972LZdI9gGS5YYFBWZmCZUVwvWrXNQWyN4//t1HA4oLlZ57DEXDY0K8+cbfOyj4W7uhmfzOkimhFR7AnlWYAFNYYMU+3iCABWBaVuTbMYLp9GClJiY2E1BGox58+axZcsWDh48yAMPPMDzzz+PlJIf/vCH/OlPf2Lnzp39WoHS0tK49tprKSoqoqCggDvvvJOtW7d2/p6UlNTNQtSVDlfArskbOv7Ozc3tVI46yMjI4Pzzz+fll19m//79LFy4sNvvGzduxOPxcPXVV8fd9/HA+LdxnSakhAvmOQdN0TwYS5YIJk0SpAZMMjMM8nIN/H4HoZDC7FkmJ04oVFUNrZFZswwWL9I5flzl0GGVwkKT+XEuwtrnc6jHRl2XvPSyyVNPm7S2jt2TKxIMYegGviR/N+WoqlmhuFKlounUuBR6TG5OjXBbWpjlfh1nx099THJ9bkmCU0KbJNgYs/ZpGjicsTWkkO0KkmXF/lcVSBaoaQJ3QNLSDPUN7Q0MofvnFRp84UNB7r45yJc+EuK9l0Tx9p1IJi78fsmFF+qEw4J9+1SkhEsvifYZgyS7/N+XyLLH//GQmCjJyuqtHMWLEHD5RVFysy0eXuvgH49pbN4Ib7wm2bVV5+knBUeOqliWJJAqKT2u0tQkcDhgUo5k6lSLbdsc7N0T0wiPHlOpqVXJzbM4dEijpra7YH1lZ+3Z387vE0g56mQiymzTJxLs4wnx35BsBcrGppOZM2eybNkyLrzwQoqLi7n//vspKyvjRz/60aD75uXlMWfOHLZv304wGOzcXlBQQGtrK5WVlb326Yg96ohFApjVHk+RnJzcZzsd20OhUK/fXnnlFTweD1dccUWv2KXxjK0gjTLTpiksLHKSP1UybbpkwQKFGdMVQmHB/v0qmZkWqalDc41zOuFDH4xw5x0h7rw9xMc+Gr8Fqs/4/R4bjx2DF56XPPusZO/eoT2ZWlpMpBx8n0gojGVaePzdA012Htf4zWtufvu6h9+85mHLkaG9Zc1Nt5g/3UBzSKrrVdqigtYoIGLj5hSAh9iisV0tMa1RTN2iJqhQXK1x6GT7pTDESYzLCTnpFsmDHI94R/XCC3TuuD3ELbeEueP2EOef37ciLNorFbJvkUW75hSPR9pQGKy8xyfJydE5WSbQdR1N09EUaGu12L3b4NAhC8u08HotwmFBa4vo7JDPF7OUbtuhEo1CTrZFYqLF8VKF3EkmgZTBr5ue/T3n56TjbaI53uQZY6SEYNTEH0/s0XDHZiKNafsF6XeqtEYGeMl3LiR0ONv7N1EQjH0Gu1F8EAkhuPvuuwHYt29fXPtUVFQghEDt4o5y0UUXAbH1k3rywgsvdCsDsHz5cjweD0eOHCEcDvfaZ//+/QDk5+f3+m3RokW88soraJrGlVdeOWGUJFtBGmU0Da67XqFghpe5hR7yJnuZNw8+dFOEG2+IcstHwqQMI0bF6YTZs00KC80Rp4buea2mp8PkKYKp+YLs7Piv5PWvNvHTn1XyxBMDZ1mREgzdQCJxOE8pQK1hwbN7nOimYHZWLAbohX0O6uNIk92BQ4MPXhLh2lVRpk0xcXklZlSQlWQxb7JORkCS6DMRqgWu9qeuBURUlJYIfjVK7iSTbfsctAZH5y4mJUhLdvvQ43t/H6Rk+jSD8xbr5E8xBy4v2z9d928XoK/f+mzPkkQjFvv26rz+eoTt23VaWvpXRPoboUgU1m1y8vN/evjrRg9tSSpajkJyuoLfH0s40dwiOHkSqqok+/dLmpslji7uq5YJ1XUKf3vCxY9/5SWoC277eJiP3hrmllvCYx6HdVYy3jTE8SbPGCOlRDctnFocj9rhjs1EG1MBLlUhMpif3UTr11A52/tnMyL27NnDiRMn+vytIwnDpEmTAKirq2Pv3r29ykkpue+++6iqquKSSy7pFhv0iU98Ak3T+N73vtfN1W7v3r08/PDDTJ8+nUsvvbRzu9/v56Mf/ShtbW3cf//93dp55JFH2Lt3L6tXryY7O7tPmRcuXMj69etxOBxcccUVbN68Oc6ROHPYMUhjwBWXR2PJFHZruFywelWYpUuNcbs4XnKy4NOfUjCMWNrreCkuDnHoUBinU6DrFg5H90mAaZhYpkUkHEFRBP6k7r63bVFBMCJIS5AoAtL8FmUNKm0RQaC/NNl9xJLkpFl84X0hPnhJhOIjCn9+xkPBFANVgU2vSqrKFA6VChoBxTSxUJEquJ2CrBSdBbNjFr5gCPyDKJ+GbiAtiepQe2VhOdXfMKG2CMdPOmhuUUkNmEzK1od//CXout5NuewPh9NBQ01d3FW3tkmefFpSXAzRqIXb6yYvz8EH3u9i2rT4bw8vveXk5R1OMgMWc6cZbNFUmiwHjaaCI6ojJbjdsv0ckYTDEpfLxNlFQTpRrnDwsEpCgiQYFjz1gpM7bw2xbFbf2XuGlMl8gsUg2ZwFyFgsmarYJ56NzbjlNMYgDYUdO3Zw1113ce2117J69WoOHDhAcXExd911Fw8//DAej4cvfOELQCz5w6JFi1i2bBmFhYVkZWVRW1vLxo0bOXDgAFlZWfzqV7/qVv/MmTO57777uOeeeygqKuIDH/gAbW1t/OUvf0HXdX73u9/1Wvj1+9//Phs2bOB73/seb7zxBueddx4lJSU89dRTpKSk8L//+78D9mnBggWsX7+eNWvWcNVVV/H888+zcuXKoQ/OacJWkNpJTHRztNJgWrY6YkXG7Yb3XBvlmqujCHFmVw3vc17Yx0aHU/S/3k4/XHpJEl6vStF8bzflKBqOYOgGlmUhLQun243L0zvZQ7LHIivJ4kitSlaiRVWzQl6KRcA3gCtVP2OpqjFFyTAgNVXicceseVlTYmsTSYeCogmcLgWvxyBkqCQlSqbnmgRDKlNyLJISZLexCbWFkFZ3WSwz5lKoqCqix4Ht6K8Ubl56I41d7ziIRsHrlaw8X+faq6LDiu+xLIva8moCmWmd2zrE7E9J6Pr7QKfflmfDHDgUZeZsFSvahsOtcOSYyZPrInzusypO5+Anb0OLYEexRmbAIj1ZkuKHZeeZbH5TEFQVDNPC5bC4YLVJW5tBa6tCWqpFKCxpqIdAICZoMCQIhQRLzzOZkmux94BKfaNC/hSrz7706T7aY3vnd3uOanOasaSkNWonZ+hGvC8q7BcaNuc4119/PcFgkCeffJKf//znVFRUYJomZWVlXHvttXznO9/pXPx1ypQpfP3rX2fDhg08++yz1NfX43a7KSgo4J577uFLX/oSqampvdr45je/SX5+Pg888AC/+c1vcDqdrFy5ku9+97ssXbq0V/nU1FTefPNNvvOd7/D444+zefNmAoEAt956K/fddx/Tpk0btF9FRUW88sorrFmzhiuvvJLnnnuO1atXj3zAxgBbQWonEPBR1RahoSTE4hnaiJM1AKNSx0hpboJ16zTagoJrrzHIy5OxRG49yg3nWTR7tofZs7v7PQVbg0jLQtVUnG4X2gDp9lwOeP+iCE++46KmRTA93eS6ogi+wRPn9Ulzi2DLFgclu1V2RVUCAUlNvUJKpqRVl2huECFIVCDBMrA0lZMnnSQkSm5/bwiXE5obmpBmTClyul0oaveD6PJ6UFWFaCSK1WNdgo7+btuhsXW7gyl5Fn6/pL5e8NobTgqmm8zuxxrSk8HmB50xSPRdUMS89RADnIPRqGTX2wZpaQKPR9AWBVUVTJuqcOSIxbFjJjNndj9+fcnV0KLQElKY1r7+kabB1VfpTJ6ssvVdFV+eIOC2uPJKKC3V2fGWE49XEo5C1IDKmpiQ9fXg8UocXig9oeD3SVJTrM724jlH7RikHoy3ieZ4k2eMsCQEdQufYwgpKIc7NhNpTLvI2RGH5HdqfV+4E6lfw+Fs799EYZxakAKBAJ/97Gf57Gc/C8TWN9qwYQNr167tVTYlJYXvf//7wxLtlltu4ZZbbhmSXA8++CAPPvjgoGU7Uo73pKioiJqamrjbPFPYClIXfD4XpaWtLJpx9gzL3r0qW7bGFuhMTVXJyzPG5J4spaS1qQVV0/D4fShxupVMSrH49IUhglGBxylRB7mRSElnjE1DdbsrmYCk1DT+9ZSLHW87yE03eWOng30HFSbnm3g8cN5ig6kZBrt2O0j3GoTbBKCTnmYSbFPYtCFEVkITSanJiHYhVFXpZSXqwOnq39x2tFRF02JZ6QACAUlFFZRXKnErSN0sJUIhkJFGXUUNqdnpfRfqMUZPvexk3bMuomG47AKd91wVIRDo7rbY0CJoDKskurvLpGlgmbJzDaP+5OrA65a4nTG3uKT2PjudUDTfxJkMq6aZbF0PoRDk55ucqDTZuddFKAJNOwWKIjB0mJRlctP7o0RMBU2FS1ZHyZ88dmt9nROMtwnYeJNnLGhf98iwLPyuIViPzpUYJOiMQ2qNmvgHKHNWc7b3z8ZmgnP2aAKnGcsafQuRZcH27RrFxRoOh2TRIoM5c+KbUPdHICAJBGJr62RkDD9tTjCos2dPPXPnBvD5ej/0m+sacXrcuL2euF0KLdPCNGL9cwmwdJCK6NfqJCXokSitTc0IIQhkdSgLksMHG9m9N0B6SpjEBIuWNhevv+VnciBITpZOZsDE5ZDMKXBghiHsECxZ7AChUV8vKK914vC50JxyxC6RiQkx5UJK2tfCiv3tHWaSASFA0dS4V9LeuMXBTx7wEmwVSAGHDmpUlAnuuiNMWAoq6hVCUXh9n5PiiItIeZjrUk6l5qyqskgJKOTkxHeCZwUs5kwx2LrPQYHTxO0Ew4TD5SqT0iyuuNBECcGbWwQnazQOVTjQfOBxKVTUq+Rmmpy/QCdiKMyda7HmgjCKMvj6T3YMks14xJSSlohBstt2rRsMTREYlkRT+nBrsLGxsTmD2ApSDxIS2mORstR+FaC33tJ4dYMTr1fynmsjTB6lt9yvb3Swbp0LTQNdh/3FGh/5cHhEStLs2Ra3f1InGhVMn35Kzv7mi/1tP3KkhcrKIG63RlFRd1/WSCiMqmloDq1f5aKjXj2qo0dii6lKKbHMHmMnwOFw4Pad0iYsSxJuC8bW/DEtUjLTesgoSM8OkJDkQVEFvkSLhASVpASFebM0MjNOzbS1epUEr6RRF5imSVAIDkdUFEXSbEDSKDyki+YZ7Nipsa9YIynRoqFRMDXfYvbMLmltB5mwd/1ZElOSPD4vwZa2XmW9Cb5u3ze/6aCxQWH+PAPdgIYmheIDGi+94eBgm0Zlo0pZnSAtWTJ/lsWGrW42vxthkuf/s/ffUXpd52Ev/Nt7n/L2eacXDHovBMDeCYqiSFGVoqhiW7Ys2bEcO7GTrPXFX+J1s+zv+to3yVpZThzf6ziJZcmW1ahGiqREib0XsKDXQRsA0+tbT9n7++PMABhMwQzqEDy/tSRiznvKLqc8z36aISTEshTr1zk8/YzFwgWGm24+t9L4sZs9ShXB3mMWQSgQGBY0ah66s0o+a3jwQVi23PBX/2CxKmNYv9pnf4fF8RMgLGhrN4yOGgaGRFQEeRbzIIDhYc177/lUq4bWVsX69dYkq9/4+MXEXFbie25mBNS4Fv1lPy6KHHPlEFz6Z/UinP83f/M3+c3f/M0LP1HMrIkVpLOoq0uz68gAS5oVcgohdnBQ8NMnHIpFSaUskBJ+92uTC2PNlSCAV1+1yWQM7e2R0rB7t+Ld96xJCtLoqOHYMY1lwZIlEseeefVtyZLxgJTT26bbfbrta9bkSSQUixdPdIgojhQQQpDMpFDW9Ev+XrlCpVhGWQprLBubVGqSq5oONZVyheG+06nDhRA4SRchBO5ZysC4JlGTM9x6Y8BTzzj09SkKJUFrS8j2Toud3ZBLGtprQ4IQ7rnbY8e7Fm/ss9mfkJSUYMlizXf3JfnSNRVaMhem8C5o0/z6r1R49XWbk92Kazf73HpTQD5/hgXvHC/MSckIhCCTz1GdogjbcN8gNQ21p8aiUoRMRnPomMRxoalOU5MzvH3EYr+yWNGi6e9UuI5mRatk3TrB+qxN+Ti0tlssW+7y3HMJ+voEqSTU1oWsWjWz9bEuZ/jKAxUOnlAMjEhSCcPKBQHjeq5lwYKFktY2QWOdJp2CvgHD0U7wy9Ddq1DC0NqsZ/0xGR7WfPMfiuzbFyIkuI7gE59w2XJXYoKGGcupMZcLrQ1lX5OaTd2jmJiYmJh5S6wgzcQUkpXvg+8J0imDDqFSmb34ZQwMDwuUYlKhV60jVyz7jIW0yJI08fzd3Zpvf8fn8CGDVLB5k+Tzn7dJJOYgcZ8HliVZsaJmwraRgSEqpQq5ujxSSYw2FEcKVMsVUtk0iTGfsnKxhNaaTD6HEGJS4oMzkUqSTCdxExMzNUyrfJ3Rr49s8Whu0PT2S5IJw2NvOjzztgMavFBwuEby1Y9VuP16n81rAvqeFgz023yo2WfBAs3OPsXWkxYfX+md3yCdwZLFmiWLqxd8njMRglNjOo4xMDIwjNEGMRb3tW5NyAsvGbwAFizQbFwbcqBT0Zuz6Kwq9p9UNLVrlqRCRsuCezYHfPY2RaFPkqt36eu3eeopQToN1Sp45xgOY6Lsf0GlTKNdpHHMwKirLsbNjjUechlNJm0YHJGkU5oVy0IGhgR791v4geGu231uvX6KwKdp2LnTZ9++gLVrbSxLcPx4yIsvetx4g0MqNQ8ypMR84DAQxR6p2CIyW07lY4jdYGOuBPM0SUPMlSdWkM6iWg3IZ8S07+nGRsMdt/u8/IpNPq+550OzE6arVXjsMZdt2y2UMtx+u8+H7zldG8d2YMOGgGeecTAmqkmkQ1izemK18eeeDzjYoVm3VuJ5sPXtkNWrJTfffPmnMlubJwwHCIOA0cEqge+TzmVI12QpF4qn6vEk0inSueyMbk5nfhuFEDNao6ZDSth8TYAx8N5ui5ODkjWLA3IpAxJCI7jjRh/bhnze0NyiSZ8wHH5XcuQdSbUWBptm+YU2TJkNcJaHnspCdzEEgsYFLfR0nqSpvRUh4OabfF57zebwYcmCRs2OsmHgLh+Rsfh4KqC/IKlIwVeuLeMY2D5s8Uynw3pLkANaWuAjH9G89aZgxUrDynNYj4ojBcrFEuls5oy4sCjd+/g9YI0l77h1c4XHn0+x/7DCsQ3ZvOGLD1X43AMV2lrMnOL6qtVozi0rGsR0WlAomLHU6nMexpiYC8IYCLWJ6x7NBQF1STt2s4uJiZl3xArSWXR1DfPxm91ps6kJAfff73HDDT6OA7nc7BIfvPmmzQsv2bS1ajxP8NTPXRa06VPucwK4/75I2dq108Jx4MMf9rjhhokK0uCgIZsRKCVIJqMDi5PDUqakWIQnf2aTThk+cl/AVDrIXGR2IcBNJiiNFMjks+TqTluYUtn0hNiYc43SXESKc7XxhddtHv2ly/6DisAIFtRrliwJaMgZvIrhRz+S/OhRi2e2uvQPWdgINGClYeAVyYZ/H7B50znivi4gpng2ytGkGKTpziXGMvudweLFmj/8gxJb37Y51i0YutOjpgYOHlYMOJCtMdQIQz4F7/Va/OyoixAGvy5Ja3N0zru3aO7ecu52emPxZLna/KRaV27SPbUt8APKhRLXrS6TsKq8t9ehVFXcc6vg5k0BmTMLA8/yJlywQJJKSY4eDchkJMePB2ze7JDLTRGDdO7TxcRcEKExlPyQfCzoz4344Yy5ksQWpJhpiBWks2hoyPD2gagWkpomeE8IaGiYW0a4/gGBkoylWjbsGlAMDUngtCCeTMKDn/Z44KPeKVe8s1m6RLJzZ0Bvr6ZaBccWNM/G6mHg6FHJyy9bZNKG668Pp8xqN9dvVSqTwrItqqUK1VKFZCaNk5icAvu8voHTSLZihn0GBgXPvmyTTRm2bA7YdlhxpFdSCS3+xedK/PD7kv/9dxb7jlgY3wftU3UdnBoLpwqdOxV/+z+T/J9/WqS+/vyz/p2TucYgzZHFizWLF1cJjOF/GdirQXgeptfGVYZ7Fvg0pzRKGCxhCD0Pi8lKYcUD25o6o1y5WCYMQhKp5Iz1rgAs2yJbm0OHmmvXV7l2fYDRBq9SxXgS0me4b86yw6tW2XzmwSRPP1OhWjVcd53Dpz+VjFLMxzFIMZeRUBuqgSYdxx7FxMTEXBXECtJZpNMuQWDx3LYR7lhv4VjiomTAamwwaA3dPRLfA9eF+vrJyQAKBcGjjzns3m1hDKxeHfDpT3mnLFVbtlgUCoaduzQJV/CRexXr1s9ieULA0qWae+8NSCbNrBQ8rQ39/SHptJwxpsNxHSzLwhhDabTIyOAQ6WyGZGZufk5hCEePS3JZQ32tmZ1ke9Y+vQOSoRHJmhUhUkIuqTnRK1EYGpyQH//EYv9BHxOWwYxZ5yqKQKehIY2yDCdOKvoHJPX1F5ZifT5gCcGDGPYoqF/qsbDNx5KCjGPoLQre6rTJW4YHVgYsk1UwyUhx8QU//rnDW+9K6uvgVx70WNx++n4tDI8ihCCVTSHn4BcnlTwVR2WMwUm4hGHIYE8/+Ya6U3FUAHv2KLZtt6ir09xxu08iMfl8N93ksHmzjecZ0mlxOoNdrBXFXEaMgSA0sYJ0ntQmLIYqfpQaPX52Yy4nsQUpZhpiBWkKLEvR0JTn+R2jXLvMUJ+TXKhb+Y03+vQPCN55x8J14b6PeKxceVoAH1/w/vlTDq+86rCwPfrtjTcdHAe+8Pko4D+REHz2sw4PPGBQClx39g1LJODjH5tdEHwQGB75wTDbt1eoq1N84fN52tundx0ZT7yQyecwg1Eh17lggGdfsfnFCy61ec1vfbFM43lYcHIZQzplGBoR1OUNDVnDyAC0NWt6e+HIEY0OKkSjPf7W8tHeKF7ZplhyGBw2fOcHLuvWhtxzl0dd7RTtmCcxSMZA4M08py1C0DL+R2L8wjDqSYq+oMY1XN+qsWUjIwNDhEHA48/l+R9/p5A6qk/UcUDyV/8xxHUFYRBijMGyrHMrR2f08ezujseaSaXI1dcy1D9IpiaL7dj09Ai+932Xvj51qr33fnjqfjqOwHFiqSrmymAMaBPHHl0IUgrCS2iwj4mJiZkrsYI0LYLm5hw7O0ssyPtIAYub1ZRxO7PBtuGTn/D48D3emGJz9tUiC8quXYrRsuDN9yJlJJ0y7N6rGBmNFJyxDNmkUhf2MT5XHaSjR322bi1TV6c4dMjj7XfKMypIp/pxjjpI0x4HdPVIBkcEfiAZGJI0TmPBmelcrc2aGzb5PP+aQ99ANKZJ13DnzT6lYfCq4+c8U0GyAQ+v7KHzinyDxg8Fz79s09cv+c1fLU+2XlzBGCRjoFwoksykKReKjA6NkMqkJ5/kHOdemg/58sYKWUczvvBdU59naMjwy6cCRoYCVi7XDA4ptr0Lr7xq+NDdguLIKNZZtarG8Tzo6pXU5U0UVzSb1PIClJLk6moY6Oqjsa2Z0VHJ8LBk6dKAjkMWg4PnvwQXxyDFXEoCbSgHmppE/DmNiXnfEVuQYqYhfqOfg9raFH0lj76+Ar3DmmtXWLj27DOdnS2ZJVNTCGtj+0kJR08odu9TNDZoBHDkmOJEQSC+m8JScOs1Pndf588p29dUnKsOUiIhSCYF/f2RQnGhCtlsjr7jJp9KVdDUoFm6cHr3tnOd6xMfjtJ9v73dIpUw3HpDwNqVIQMDsHQZ9PbB2WkjhLSoq61SV2NYtggWLlDU5ODt7RbX71bcsDk8b1dLY6ZQHOcagzR2jxhjGO4folqu4Fc93FSCmvr8pPTf0zfmdFuEgOW1k8e5owOkkCxeYtE/IhBS09xQ5e03K1y3IcBybJyz0rBDVMvruz912b7XprVJ8+XPlqnLz35ZWEpJJp9jZHCI9vY8G9YH7Nxp0dQQsvGa4NwnmIarTjn6oGh8V0s/r5Z+nC8X2v94/D7Y/Y+JuULECtIsSKUc2tqiIPKXdxW4caUkk5xFbNK5EgyctTEMQVpgKQjG6h+VpaBcVGgd4Bt44hWXupxh86rzFxhnQ1ubzYOfruGtrSWam21uu3X2ForzZclCzW//auWCzzM4JNi23abzmMJShlwali0KqauD3/oq7NwpKBY14wMvFTQ0wl13aI4cDXn3nRAtXA53JTjZLfnmT5L0Dnvcf6c3ZbKCmeg4qXjyDYe7N3msX3IBMU1n3DjVcoWG1iZghvpQszjPdEgJNVnD8uU+gyMK2zKURyCZTpDJS4SUUSKEsxgaEeztsEgmDB1HJZ0nFXX52d+nQggSqSS2bTMy2MevfLGeEyctsllNY2Psf3OKD4qw9D7oZxAaKkFI1p3hOXwf9OOSMsv+1yYsBis+tWfHIcXjF3MpiS1IMdMQK0izxBoTROsbc7y+v8Dadk1zXk7vcje+6nOu1Z8zftca2ttDhDCUy9HGMGsoC0FTXmM7sLPDonvg8jxt112X5LrrJlsmJrl8MX/e4VrDj5902blXsWxJiOcJXnjVJl+juXeLz299FY4ckXzjG5pCMSSV0gghWbzIgPaolEY4dMhw4HCCXFM9mzZF1rxfvOLQUKe5aePcFNNyFUINpaq4qAOlwxCYfb2ouVx62TJobRN0nTRkMiHvvKPoH3CorVWUyuGkIsfj5HOGFYtDduyzWLJA09Y8d4VQCFC2Rb6xnuG+ARYuyI61PE6dHDO/MCZK7S2FQF6MTD4fcKQU6HgdJCYmZp4QK0hzRtDYmOVgT5nRko+tDAsaJImzg8QF7O1T9BQli/Mhi2omZ6wb328cx4F1q0O6eyVrl4SUPdj7toUn4VivpKVeY4whnTj/r4jW8M4Oi1ATuUuddQfMRpCeo7fYrM87W2Y618iooPOEYuECTTrFWMIGQ8cRBUSuiX/2fyq++AV4+x2f116D518wDA37HD9RoqZGkq+xGa145BK9bN5YS75WMTQKx7vnrpiuXxLS3liJitXOQas8Vx2kSimytPmeN6He1HRMd+mpzp3LCT7/sOTnP9c89lPFwKBk7RpJT6/Liy96fOxjUxdHtiz44qcqHO9S1Ndq8rOsETZVW4UU5BvrKAyNArPv51TMJwU+5uoh0JpqoMnFsUcXlUowzbcy5pKgJNjTFX78IBBbkGKmIX6znyc1NUmGyipKhV2oIkzAqnaLmnQkiu3uVfzjtgTDFUlLJuS3r6/QktFTC2tnbPzovVWCEN7dYfHuUYtUzuBI+OUbDisXhtx/i8d1a2aXiW4q9h5UfPfRBEEIjl1h8/qJFpFLJUhezPPOdC7HNti2oVQW5GsiAb1SEaSTE4X1DRsU69ZJTpwIuOlGeO89j/4+UEqxdp1kz0GH/btCfvIDj/secPB8xRRhN7OiJj2FonCOAXnjdUUYCm69NYiKwWrDyMDQqVslW5vDGOjpPDk3xeGseKjpmrF0qeC3fkvSedzFEFnY9u2DgXMkS0i4sHzxBaZHPxUjJU71s1ouM9w3OO0hufraaV1erzrl6IOi8V0t/bxa+nG+zKH/2VmmSS94ISlbXXB22RgINFSCC3fZn2Pi2piYec+8VpD+4i/+gn//7/89f/iHf8hf/uVfAlGQ+p/+6Z/yt3/7twwODnLzzTfz13/916xfv/6yty+ZjAqihqGNMYZ3D5VYs0DTmJd0FyXDFcGG5oCdPRbdBUlLRs8YgwSQTsPnP1NlwRLN4M8lG1YECGBHh6ImY/iV+yq4k+uwzpqEa0glNaEWJNyr742WSsEdN/v89CmXPfsVQSCorw256brJHwAhIqtHuexggFD7uK6NV5EMDQgqVcHO7YrOo4obb4H2hy9PXaRiEZ5+RlEplGipG6amRiOEoKahNtohnzu1b0NrE30nemhoa5rdyecgUNi24IYbNE8/bbNrt8FSsHLFpY19mwohwE0msZ2pb/z+rl4GunqpbW6IuicuTu2yecvV3Lczmcf99ENDJdBkZoo9Gmce9+OyMIf+O9bsltqFH+IoMWUsZMzcMAaMufBx1O9XDUlw6Z/R+DZ9XzJvFaQ333yTv/3bv2Xjxo0Ttv+n//Sf+C//5b/w93//96xatYo/+7M/4yMf+Qh79+4lm81ekbaqMfN0vi7DtiOjbNCahVlNQ1qzs8diYU3Igtw0wvUUq2tCQDZrcF2DlFHShvoaQ03GnErzfb4sXRQlQghDJhT+nAvnikFSlsIYQxiGqLlmNbgIbLnNJ5c1HDykcF3DNWtDlk2RIEEIQfsClx/8IIEAMhmboSFJf58F2pBJJwjDFGHVMNILzz3jsHxJmdTc6t+eZhYrqcYYLOlx9+0Fktkalq6uP6O9E08hBEilCMOp763+fsGJE4olS0IyWTOnd/T4ddZuCnhhu4MJDJ++t8qNN15+BQnGYpOmibdqXBBVeRrs6cP3fJraW4i/SDGXEmMMxhDHHsW87xGC0wW2L+Q8sWdkzFXGvFSQCoUCv/Zrv8b//J//kz/7sz87td0Yw1/+5V/yx3/8xzz00EMAfOMb36C5uZl/+qd/4mtf+9qVavIY0VKEwbC8PuSr11boLUoW1oQ0pKZZXZnmvbSsLWRFe8iuDgvbNigJH93gXZSV8fZWzXRrPRcjBimdyzA6OEKlWCady8z6vLPlXOeSEq7fFHD9pnML85msxfr1krY2h+HhHD/+iaZU0tTXS5RKkEpBXZ3P0sVw5IhNT49kyZLz/BKcIwZJh5pysYQxhlvvyiIIJ+062zEsFATf+GaSw4ck6zeE/NZXy6fizc4Vg3Tmdd7Zb1NyBXYaMk1ccHr5WTHHm2X8mUikkvhTFM39oHs4xVxcQm0IjcH5IMdtXGFcJamGhsTVbi2OufQILn2MUHyPvi+Zl2/43//93+fjH/84995774Tthw4doquri/vuu+/UNtd12bJlC6+88sq056tWq4yMjEz438VhZpPyopzm+raApjNiUKY8YoqN2bTh1+6v8Mk7q9y5yedX76tw28bzjz06m+me1/d7DNJcCAJQyuAmBM3Nknw+gRApUimXZFLS0KBxXU0YgECRThtS0ym6c+WsToRBSGF4BMu2ydRkMRpefdXmf/3vBD/6octA/8QDjIHhvkFG+gepqc9POv3IiKCvT2AQ9HQLKpWx48/KFTHTWHoBjAaCgidwXWiYLtHIxeY8J1hOY6286r5N71NPljkzT/sZakOgDQl7lp/PedqPy8aF9n+K41OOohKE71+3rrnwAehiTMx8ZN5ZkL7zne/w9ttv8+abb076raurC4Dm5uYJ25ubmzly5Mi05/yLv/gL/vRP//TiNhSYSvQSArYfCth1RLBmkaKtTk5YdT9XDNKZ1NUY7r9l6oxhsyZePp+S7bstfv6Mw8CQoH/U8ONHQw51ROnVk0nJ0JCgqTGgvkGQcC3a2uCj91dparq4X6vI/9ugQ03gBeTqokwQ27ZZ/OCHLkpBsSgYHBJ85TcrE+6lylg9pKncGFtaNHdv8dm50+Lmm30ymbF2zzLlvOfD999w2d5rMSoFx48o/p9HknzlY2VWLZ2fvhSJVILh/ivdisvAB+V5no/9NOchr87HflxOLrT/8fjFxMRcAeaVgnTs2DH+8A//kKeeeopEIjHtfmf7yxpjZvSh/Xf/7t/xb/7Nvzn198jICAsXLrzwBk9BY2Pm1L/3nijiVT0WNlySS03JpI/35fJru0x4niEIIJU6/8Z09Uh++FOHUkXSe7LM078sUymGuJYkV+OQSNgopVi5SvK7vxOweHGA40CxqPn61zVDQ3D77YKbbrowA6zWBq9coVQooiyL2ubTN0pvr8TzYMOGkN5ewfHjkkqFSfFP08XlSAn33edx331zULBFNDZPPuvw7Fabt3pt0pame0BRFoIDByy2vWPxZ39Y4NprLlLCikt0XwUB7NwJo6OCujrDmjWXyT3wIhKE8dLxfMPXmkAbss68+nTGxMScL3Ga75hpmFdv+a1bt9LT08P1119/alsYhrzwwgv89//+39m7dy8QWZJaW1tP7dPT0zPJqnQmruviuueZo3nOnJb2kkmbvqESDh41qcv1hEx05zsv2XPswAnHz/FEtusQ+D5+1cd2L7zIZ7liePHFkLe3Gjwfli0T3L1F0d5+RsNm6PCZP/X0SQaGJGmnzOM/HmagF0BQNJrBIU02K2lsUAwN2fzoxzafe7jKNdcEfP8Rzda3IZOBxx4zLFhgWLBATH+hGQiDkEqpjBCCuubJGnRjo8Zx4OBBRbEE124OmGHN4KJQLsP3fury1rsWe44q+hB0FxWeEdQ2G5oymu5eyQ+fcNmwpoR95rSe7812rmPmUpXYQCqTpjBc4slfZHjtNYHWYFmCez9suP9+876IVxBAwpJUw8mWukqgScwy01fMxSfUY/fQhd5H82TBKWaeEd8XMTHzhnmlIH34wx9m+/btE7Z95StfYc2aNfzRH/0Ry5Yto6WlhV/84hdce+21AHiex/PPP89//I//8Qq0eKq32elt6bSLZ9dxvFjhZMGnvUHRUi9nrIN0wS0yhlKhNGPNmMuF7/sIxEVRkJ58IuS55zW1tVE8zBtvak6cMPz2b1nU1Y0Xzpn++DN/yqQNiQS89EKVkWEDwkLKSGkxRuN7VZYuk9y9RXLokOLZ52zWrAkYHo7SsDc3Q2enoVw+x4XGKFdg/xELL4Dmek1LXZVKsYSbTOIkpk5dvXFjwEOlKjt2KurqDPfc7Z2ygBjDWOxR7azGbgIz3Gu9A5LOE4p8zpCSkNOGY1qBBQOD0CShsU4zMizp7ZO0tZ4W4AslwfY9FkoaNq69iMrcuTKCnPVbtjbH9veqvPhclcXLXHI56OuDl16GzZuhpeUitetSIiA9VT0YEylIaVt9MISoeSgsam3wQkPZD0nas8zQOVU/5lm/LikXOo/z8D64ZEzVzw9S/68EsQUpZhrmlYKUzWbZsGHDhG3pdJr6+vpT2//Vv/pX/Pmf/zkrV65k5cqV/Pmf/zmpVIpf/dVfvQItnin/V4TjWGgrxeBgmZFSQHMtiLMfllm+/E6elDz3vE2hINi8KeCGG4IpVsQFDa2zrIlzGSgXSxRHiqRzcyhmehY9PYZ33jW0tYlTylBdHezcadixQ3PXXXNLJb50UciHbvd44kch2hDV0jAaKSVgEDLgmg0SpaC1LeTESUVvr+T22zSPPmY43mnYeI1g0aJzX2ukIPjOky67DlpoA5mEz303Fbnzluyp9PCnOONDKCXcdpvPbbdNlZjDUClXTtdFmssHdIb9Ek6UWn54WBBWITgKDgYrY5AG3JRh1dKQfMKQPKPwrtbwyOMuW7dbSCE43lXlMw9cYOzcBWCEC0qgTAGj0+Rygv5+Qbkcu6y9r5iHQqGUAlcIvFBTqAakHevcVsl52I/LShyDdGF80PsfE3OFmFcK0mz4t//231Iul/m93/u9U4Vin3rqqStWA2k2SCmpr09xcrCMwWfNwrnXBiqX4XvfcznQoUgm4MABi3S6zLp1E2NBZqoXc0FcwCqWMRcW1D86aigWDa2tpxsgpcCyDINDcxd6hYDarKa+3sZxAoyGajWyzAhhaGqyWLYsGsPAFyhlUApuvFGyYEFkOVq4EBxn4oCUQyiGgowyJMam4OV3bLbvt1m9JEAYj0Odhhe21bNpQ5namtNtHyoJnt5m092vWNUWcM8mf/YxM7OclyCAt7bZdPcKWpo0N2wMODO/Q1Oj4c6bfZ542iEIoTwiqUtrVEFQn9fUGI2pwLU3+dTmT7e9WoWjxyVN9YaqZzhw2AJmqSCdmRjCiwr3XmisUFMT1NdDV3+GbLlE5zHD0uUp6uvPfexVy5Vehb7S17+ICBHVPwoNFL2QpC1RccHSmJj3J7EFKWYa5r2C9Nxzz034WwjBn/zJn/Anf/InV6Q9548gkbAoeSEHT4TkM4L63OyfmsFByckuxbKlIek07Nih6O6WExWks4SQKxmDdDGpqxORFWAAmseMY0FgCENoapx7DFLHIcWjj7usXSPp7fbo7tak0wbPiyx+n30oiW0LwhA6j0s2XhPQ1BQpeW1tky9QCeGFAYe3hi2KgSBtGW6oCbirzqOnX5JKRAV+fQ+aagM6RhQ/P+hQX2dIaU1Xp+S/fi/JwQ4LCdTlNZ+9u8rvfKaC50GlKmhu0NTkLswC8tyrNj992o1SfQsolat86CwL1Ufu9FjSHnLfHZLvfDtBtSLQQOdJSUuz4ZMPeNx560TlJ5GANctDXn3bRkq448Y5pKMXcOSI5IUXbY4cUeRyhltv8bn++oAxg96cYpAQkRvdQ58xPPGEYLSQYtHiKg/cXyabScxw8FXOle72lb7+RcZWghpl4YeGoheSS8zxU3oVKYwxF5H4voiJmTfMewXpaiKZdPB9yaHeCi1eMKWCtGdQ8Vq3jasMd7f5tKYjwTyXM9TVaY4eVWQyBtuG2tqzBOazXqziPF62hkh4NsZQrYLrTs4aOFvKxShIJ5FKntfx49TWCm69RfCzn2uKBYPtCAYHDatWCjZsOFcO9bGfzhiL7h5JsSS49lpFXW2al1+pMjSkuXajIZlKU6kmeP3NaOd1a0Me+Oj0BXq1gR93ufyix6FSAeGDb+CdLotjbYLGGk2xDNVqQFD12DWS4JBShF02o7slHbslJ/cr+vskCkNKGrp6JE+/5nDyiCSXMni+oK1F84VPVli04PytcTv3WqSThsXtmkNHFXsOqEkKkhCwalnIqmUhK5donvyZw8iI4HMPhjzwQJWpDLVCwIMfrbJuVWSRWrVs9hnuenoE3/p2gu4uRWNjyMmTiu98T2FMhcXLNFUP2pr0qSK354pBGmfjRlixwlAsQjbnMNrXhTEuIpY+Yi4ls33nxrfhBZNxFGVfk7Jl5CZ9ubiUSsxszzuPFSkDjFZPF2k/89/zktiCFDMNsYJ0mbFtC8dRQECo4cwwlL6y4PsdLgMVSWCgvyL53fVlLAmZjOHhz1b52c8cCgXBhz7ksXHjOV48UWgNu/YourqiQqebN/kzBtALYGjI8OOfaI4dg4YG+PSn5JSWk5koDI8ihCCVTY/F9lwY996rqK2VvP22plg03Hqz5JZbFNnsLNt1xm62YxgtCI4cE7S0Otx4c4JUIuTf/psynhfyje+EvP6ujZswtK8IaG3VDPUNEvo+IDAGiiWJVIZfDmf4rycyHBuxqXqCwBdQAdszvJyWfNYewlY+O/bZiESOA47F0jbNutqQZ3cqvFHB0IDA8wAhqCqB5Rv6+gRv9drceaPHqmUhezsUP3vW4Xe+VIm6IwRGG4Q829Q3PQ31mv2HFX0DgtEi1J+tYJ91npUrQ1asKBMETMxYNwXdRcmr/TaOBfUtmqbs7Kxd23dYnDypWLTQ59gxje9DpWrxrR8myDYb/ECwaY3P5z5aPWcbziaVOp0WfXRuh85bBGPTNI8FpA808ZxcNmwlKXo+5nJLn/NhjudDG6ZBQJRIZoxwtslMYmLmGbGCdNkx1NQkGByBt/dXWLfYIp2I3nZDnmSwKlmeCxnxBX0VQSkQ5JxI2Fy2LOT3fq88Fiszu6u9+rrNjx91qVajv/cfkHzx81MLm+My15M/02zdGilH27dDGGp+92sSy5r9W9log1DioihHAEoJbrrpdO2h85UPy2XYuV3RdVzy7rs2qZTh+ut8PvOFAMsS9A0KBqqStRtCpDRs229zd3+AHYZka2sIjMtPn3bZuU+xbdjm3Zyiu11iCoKgAqEGQvB8QbEs+Z/7GrjO8vn4Bo+29pDioOTWJQEnT0pGhgWjfYJyQaCDqEM6AUFCcGxUsdjWpJKgVFQ0uH9QonWkHDUuaGGwp49MPofjTp0J7+xBun+LR7EkONkjuXZ9wL13nBUnNMWACnFu5QjgF7sd3jtuo40h6xoe2lydcj8/gNGioL9HcOSIxZtvWVQ9zRtvaPr6DZYFpXJIpdPmw/cENDVotu60ufGagJVLZrZMnTgp+dkvHTxfcO/dHivmYMl6XyCgLmnTX/apT154ZsiYmJiYS8GZFr3Lat07H2ILUsw0xArSZSd6WTiOxcCQYuv+gDXtiqZaSUtKsyQbsndYIRDc0uyRsSevxItTy8gzX0lreOllG8cxLF+uKZdg23ab228NWDaF8Dh+uiOHYWQUjnUKisUoi9xDn4G2tgvq+EVlNq/cqYbo1Vdttm612XKHz9BIwLZtij07Bf/3XzgMDCRpbjNUHcHyFRqlBEqCXymTzjh4vuKxX9g897qFl5ds7VWMHJaEocBYEBaBQSAEFNAEXlXwVo/NybLia00VGsYSMwgRxZV1d0p0AfCBcYNgHgoZwZAv6B8UpBKC3gHJ7Td4ExIY1DY1UBgaIfB8Utn05P6e1fmGOsNv/0qFcgWSiYtbONWxDdoQpXVXU1uPegYEjzyTYO8BRce7iuacZmREcuSoIdA+SxcLkgnYu0/hyZBAQ7kqsNRES+s441cZ7+bPn3F4e5uFklAqu/zh75aQV1tG7KuqMzExMTExMfOTWEG6QiQSNg0Nkmo1oKMvZLTss7xN8aWVFXYNWtjSsLE+YNrFl1kISkZHFg0po92lipQmM4P303gM0vZtgnw+quHjeYJXX4XPfnbu/bwUnJeb/9hBXV2SRAJKJcHLL1q8+56iUgGlFEoJamoMTQuhts6woE3zoVt8ktYoW9+r4bXXLJ57VTNS8hlstKDZRvRBOAA6CXSPXdQCpIEh4AgESnAiVPzD0y73fdinY0hRlwg5fkRQGhFQJlKqJKCBfsAGu82wsFXjB3DTZo+P3TPR4iMEZPI5quUKQ31jdZHOMTBSQjo1i8GbIx9d65FxDbaEO5dPnaThhXccdh9W6DIcOS5pbw9ZVh/wzm7JYJ/DaBna6jXplGbdigr1+QS+D3fd6LOkfXqFfpwgGMtuaBuCYCwrITDcP0Q2XxO5I8bEXCQCbfBCPbEeUuz6ePUzH+Z4PrThakFw6ccynqv3JbGCdAWxLIVlKYrFKoMFj1BDXcJwR+scsoDNgLLg5ht9HnvcZc9ehecLNl3j0z6FsDmOAJYvlzQ2GpJJWLAAmpoEBzsEhQIcPapobNQ0Np4jxmTshaD1pak9c15nNZCr0XR3CY6fVOzcJalUBJYVpezWGAYrgpETkqUDIV/+XJWbNgb8w9eT/Ogxm0RKkkrCiUE4sSckXagSmCSmD2gHasYaVtRQNLA9hB0GWi38dYqj3RaDJwLWrA159U2HgicgSaQYFYEK4BI9lQ44OcPv/kaZhGNIJia6VY67WQoBbjKB7dgMdPVS29yAEGLWLphnj482UCgIcnPMmNeQMTy4cebU3sWKwLGhpsngunDsmELXa5Zt1Bzb7+MVDbW1IfV1Hp9/GO68U+P5gppZxjPde3fkQhj4go/eWz2V2KFarpDN58472ch8I45Dmh8YYwh1lDTmFPF8XP3MhzmeD22IibnKiRWky85kqSaddigWYev+Ejettmfadc5sucsnmzV0HpfksnDjDT6uO3PL6usFK1cJVq8yuK5g715IJeGf/inBzl0WLS2ar36lQnPz9BnVMjU5CsMjDHT1Iqfyj7pCrFmmSLgNHDiQoVwSWMqQyQRUKoqKEASWwvI1XV0Bjz4Vsvc9j298K8PgkKG+3kJIgXQERgjKx0OspRozoqALqAXKGjpD2Gegy0RS7JEowCjcJHjtdZuFWuMOaJyMwasIGCEa/HHLjgf44OSgNmcmKDvHT0qefNahb1CydkXA/Vs8Eomo9lVdS+OpuCTbcaJbZy73j4BXXrPZvU/x0Q97LGw//4x5/UXBk3scTowoltWHfHS1x7WrAg50KnpHBBtvCGjPhqxfFdK6NOSt7YLSgEdLbcjKlYLbbpVYFiQTs1fUli7W/MHXohg9dRXHBY/HIdW4FpYUsbB0BTBjiwlx/aMrR6ANSsZ5KWMukDgGKWYaYgXpsjPV63xs29my4Exv/lkqT0rBjdcH3HDDGbtPc+z4pmuvhe07Yf/+aEt9PdxwA/z0cUVtneHEcUlXl5xRQRoX6pPpFOmazLkbCvT3V6ipcbCsi/M2maqbdU3w8Oclu/bA8LCOBGmhCKQEG4QCC0Nzg8VQIcNbJ9NYjsfCdp9s1mN41MHyBXWrDcGwoVqjEY7C+MBRoGygf8y8s1RFLnODGvoNQbdkCEHvoCCoCCxBFHsUEu2XOqPRKVi5IZigHFWr8MjjLh3HFLU1hqdfckgm4L4tY5YbAXXNDYwOjuB7PqlMes7CQ12tJpuRpNPTKybVSpXQD7BdB9s5K1mAibrw4x0u756wqE8bnjvoIIGHNlbJpTW9Q5KmWs3i1tP3z503jHXgjFfShPmbYjLPjkGCyXFVl8Z+eYURkLAkw9UgTtZwhfBDTTXQc69/FHPRGK0G5Fxr/icBiImJeV8Sv93fr8zim9B5THKwQyEErFgR0tamz3msAfJ5+M3fgD17oriORYugtRUOHw54b5vFqtUhixdf3Axhb7/dy6OPHmbtulq+8PkVM+47G92wVIKODoXjGFas0FEs19j/brwh4J57fDoOOQyPCEJP4iQ1Wgi0FsikQLqQcQ2lIUFbG5w4ochJSLoeuujihgZRK9B5gQohGCWKORoGFihwgE4dud1tkjAUub3V5wwLGjWLGzXbjtgEDYaCLyIlyR1rowO16zSJ1YJdJcW6VDTWw6OC7j7J4gWaTNpQrSqOHj+tEYyPSbY2R6VUYaR/EAPU1NfO2uVu3ZqQdWumntvSaBGv6mE7NsqyqJYqFEcKJFJJEqnEqUaUPTg+ImnNaRrSUfKGQwORSWdJm2ZJ28yWqfH5nSnhxDSbzmuf9yNpR1EJzt/CF3OJiN0er37mwxzPhzZcLcQWpJhpiBWkq4RiGV5+z6G7X9Jcr2lOh/z4Ry79/dGT2dio+dVfqbJ8+cyKzfg7N5eDm26a+NvDD1fZssWnpkafqi8z47mEoFQsghCksqkZY0BKpYDRgs/o6Lnjr871XahU4J++7bBju4XtGO75UMADD5w+bz5v+IN/WWZkxPC9HzoMlQRSRkVaA2VYsVTz4P0ea5cE/PgHCVxX0d9v6O01aG1hKj52IGi9zmZfWWKXDKElMApwBCwGWoEaGf03r6DfoPtB5qBSEezYb+Eaw5pWTW9eUihBIMD3BQ2tmo9+2iPRBq+O2KcUpGzaUJ83dJ6U1NdqCkVoncaKl0glTll3Brp7qW2sR0h5XrFJxhhGB4exHSeK5ZFRYUadcDDaUCmVKY4USGbSCAEJS9CUMezqVhijGShJ1jXNHJ90JrNpou/D228LtIbrrzc4U2Q619ow1NNPXXMD4mKm7IuJGYv/m1RyIRZar37mwxzPhzbExFzlxArSZWfqpR8pBUYrRkuGbErMtOskwhB++KzL6ztsUgl4YycUjgpqXcOGDSHGwJ49imefs2dUkM51OcuC1tbZr1qnc1nSuSylkQKF4VGy+dy0+958cxMNDQlaWmaXYm2mth47Jtm1S7FsecjgoOCttxR33+2TTJ7ep77e8H//RZnFy0O+/u0kOjCkU4ZkVvC7X6nwhU9HAv2JYz7PPOPQ1Cg5fjykUjXcdK1G3aQJlmrC/QHvdti4dVDxgVYBCQElA2tklKzhGDgYbCcKUXptt83wkGD5gpA7Nvq8sNema1iSWG+oSxvKg4KFTZqyLSjp071MJuEzD1T56S8dhkcFt93gs+WW6RXKwUGFm4C65kZ6j5+ksa1l9gW0zqAwPEq1XMFJuCjrdHCPlBIkpLIZKqUSQ7392K6Dm0zwidUaQZqeguCmhR4fXTO1gqQ1PPOszXvv2qxZG3D/fd6p5Aoz8cMfKv76/0ligN/5ZxV+/UuTiyb3neimoa35/JNWvA8JQhPHJV0GHCkR1pibV+xmd9kJQoMl4vijmIuA4NJbeOIb9X1J/GafktloJudr4576mGTSwfMkOzsrLKrXtNXLc55+vAV9Q5LdhyyWtGpyacPgiOBnrzg0rYuEZyEglzMMDsoZm32xn+EzhdLA8/EqHk5i6qKmtq1Ys6Z29udm+kxeyaQhlTJ0dUlKJcHixeGUxU5dF37/n3nk6wWvb7VBQKkK7+62aWw03HO7zwMf9Wht0ezeYyGEYeWKkOuu0xwsKf5uV8jG5VWqfYLOkiJYDEO94HcDwwJyQJ9AAam0YPXiAD+E7g7JyqaQ61b75LOGdMIgh8AUoQ9BSkFJCEYDwW3ZiQrtssUh/+IrZUol0IhTSQzGh2F8TN7aKvjpTxWpNPzqrwTkM2lKhSKpbHrO2dyy+RxhMEPmQxHFmvWPZDh6QFOXLdHeUuXLm3yE46III3e8KXS5Y52KJ59wgIAjRwRtzR6rVp7bivjeexkGh8b/HfLQp4qT9jHGUC4Ume7ONvrqclGr+JqiH1KXtOPv8aUmHuAryqgXUBPHH8XExFxCYgVpSq5MdIPjWJQChyPdxUhBOpMpFIHxP5U0UUHTsUX0UEO+XjM4IKm0aoyBgQHJ+vXeFfmwu6kEQRCMWSHOUpDO7tcc9M7psrS1txs+8XGfF16waWvVfPzj/rRWCduBX/9clXvu8Ok8KfnhzxL0DUre2WFzz21+JPznDas2BjTUGpa3hyBgoRjm4UUOP+9zWHVNiPMeVEahTQqOHJEUQ4FZAqmMIaUMiYTh1hsD+i1JSWluWhicSl+9dkFIZ6/E6QfHMdQsNYRJuCXtc3fNZMvLwWOKnz7vMjwKDbWGT99TZWGLnjAmu/cIenrB9AiOHpW03zYelzREri4/p5pAxZECjutgT+XHNsbhTsk3f5Sgp1/SVJ/i1z5VoqW2iF8qocMQYwzpXHbScY6rcF3B0LAkndIkEnKClWo6Pnq/z4GDHlrDA/f7Ux6j3DrefjfSjNeu8clkzkrZcKXNShcxjqBQDXCUjOV2mF/xGfOpLTExF4Or7Z6OY5BipiFWkOYZyaRNhRRv7Stxw6ozzB4zvJDq84Yb1/k8+5ZDV19U/+jzD1UZ7hQcPBhN8caNPvd9ZPZxIBcTy7awbAsdTrFif3a/LtKL95ZbQm66KTxVK2gmlIJF7ZqWJs3Boz5HOhW3XOejDfzkWZeX37EJAkglDZ+82+O2zT6+57Mxr1jRUOFngcPjnS49RuAnDAtL0HsQRAjWYmi3Q8ojsP+IIl9j2NAe0NkrSSZCHBsSyrChLWTLDR6bVwd0dilefsziqFDsvMvixmtPu48NDAu+/5RL/6CkqV5z4KjikacSfO1zJVJnuBBes8Fw+BCk0pqlS6NxH49LGuztp6a+FqnUjGNjdBR75CQTuAl3RqXq6AlFz4Bi45qAbXstOrtsli1MUSkJquUKubr8lOnely2Hz38+ZO9eWLo0ZM06CyHO/Vq6awtcs9HDGKirszj7VeZ58OPHEmzbbmGMYPMmn1//UmVCrNIVr4t0AZcfLPunLIbDZZ+sa6GEIMr28QFnPglv86ktVxHj9/5VJ6y/H4jHO+YDQqwgXXZmfqOLMYm+6p9z1zOOgY/d7tHerBkaFdTmDBtXBAQBnDwZCaVtbXrKQPbZt2x+MZu2zjUu33Hg1z5TpVqN4n0OHlO8+p5Na4MmlzEc75Y8/ZrN2iUVlJQIJek9Ltn9kkXtiCETGlYtDbjvi1V+9ESC/QVFV4PieL+k1CtQRU0yE5JcYljUHHLwuEKHkE4aPnZLlY/f7jE0LPj+My6VssRThsd+5tLeqmkdsxD19Eu6+yVrl4VIAclESGeXom9Isih5WgHdvNmwbGmA40IicbqPylLUNjXQd6KbupZG1DQ1qgIvoDhaIJVJYzn2OZXMhlpNJmXYttcinTQ01GmEFCTSKRLp1IzHb94csHnz5Biic1FbG8UwTUV3t2T/PoulSyKFYd9ei+5uycKFV4dbnTZQ41qMVAPyibGFlPfLwxsTc4HkEzaDFZ/cqYWBmJiYmItLrCBNyeWPQTqfXc9sgWXBdWsmCplKwZIlevqDzr9lV5yZYpAmcI7fwwCOn5Ac75LU1RqWLApPJXOoVCNLRGasJlAuYxgYFvT3Fmhf4OImXPYeUgyPSjauCvB86DimSLiC33i4wlPPO3QNhRwIFYW85K5NHjKAoycVv/3ZEloIShVBS71mQaNGCDhxUnDosKKlOaSxztB5QrG9x+KXg4LOgsLxDEVHMFoQ1GQNIwWB6xhc54xYpLE+52pO97NUimKulBqLGcqkqBRLJDPpSX785WKZ0A9I12QJAsXenYpEwrB8uZ5W0Vm7IuRXPlHhRI+ktVGzbkWkmMxVdjk1XeeYt5FRwRMvOHQcU7Q0aD7xoSpN9add6NIpQzqjOXEicr3LZfVkF7v3GwbKZ6T2roaaGtd6fz24MTEXg/iej7lYxC52MdMQK0hTMg8rrMwQgzQnXW2+fVguQQzS5J0mc6BX8fhbNr983mbn64LKYUNd3vCZBwP+3f+nQioFLfWapnrN/sOK+lpNV29kuanJnHZjct0onXQQQLEssC2wLcOSds3vfKmC1vDL1xwefdbFNjBcFjiOIZuG1saQgQGBbRuEgMcfl/zoJ4KduwJeKVgoGzbdpfllv02gBDWOodeXDDULtp+wyHdpvKrgtmt9skkz5Zj4Pjz2c5cduxX1dYbPfqJKS7MmU5OlWq4wOjhMNp9DKsno4AhhGOJVqtQ21iGl4vuPOGzdapFIaB76jM9NN03twiUEbFobsGntNPMwW2voOeZtnJ+95PDS2w5NdZp3d1t4vuB3vlA+ZTWsqzd85kGPp5+JzKb3frhKbe08U5BmodyPehMXPdwxi1/WUThqYiKXQjUg46h594hfduaTKXw+tSUm5mIQ39MxHxBiBWkekkhEcUhv7Clx05pZuM9c4Mtq3E3pXC5pl+S9eIlikGaio0/x9VdcfvG0w57nQsqDoAIoHDF88x8sbr5J8YkHQuprDZ+7r8oTLzqMFAQbVwd86u4q9hlGuevX++ztUOw7rHAcuO1aj0VnFEKVEq5f57PvsOLAUYXrwF3XezTkNY/8wGLbNkl/P3R2BrzzTsjwSJVKpZ9QGxAZDh3M0bzVZdNthqbFmrZ2zZJ2DXmDuxt6+gXb3rEY6Eny2Y9XWbhgosVw9z6LF1+1qasz7Nknee5lmy8+VAXATSawHJvh/kHCICRXl0dZiqG+AQBGRwUHDkiamjR9fYJ9++W0CtI5mWJeS2Xo6FQ4NqxYFM7JJfLIcUV9jaalQePYgq4+QbEkyJ5hJbrmmoANGyIFY1554Zix+Imxf0/FcMXHENXZyZ+RRnqmrF1eaEg7585+edUzn/o/n9oSE3MxuNruacGl79PVNmYfEGIFaR4ihEApRW9J8XKXojULS1PhxRHyztByfB+efcth6y4LKeGmDT53XeejpkkidqGX12GIV50+UYQUEss59y1pDOzdqxgclDQ3a5Ytm5vQ/m6nxaETFkeeDikfVmgpwIVAa/p7Q958M1KQAFYtCVmxqEylCslEJGgP9Z4+V0Ot4aufrdDZLXEsWNI+WdCvzxu+8mCZE70K1zEsbNG8847klVcUQaD5xS8FJ05YVColYBTwAQ0mxCuEHNtaS//xFG0bNJk6weJVIbLRUD+oWbsyxLEN+w9Z/PhJ+NpvlHFsTk1WEETxKumUQSqB502cRaUUmXyO4vAoylIoSyEQGCCTMSxZonnnHYXrwrKl57DAzEGDrlThn55IsGO/hW3Dvbd43H/77JOILGwNeWmrg2Mbuvsla5aGpJKT2zevFKMxQmMYrgSoaZQdAdQkbAbKPvVJO/64xsTExMTEXGZiBWkCU0l4V8ae3BNafGsgT88Jzdpm+Hx7lTsbpq4PM6ma+1lNPvPP4aJg1xGLviHBviOKPQcVbQ0GY+Cx511cG27bfO46NOdDEIRUy5Upf9NBSBhq6prrz3meV16xefRRl3IVclnD5x6usmnTDEH+Z41HxYdCl2bouMIgELpCWPbA2Chhk0lNtMJIyakMcZVSZVJNoEzasGYaJS0c25xOwcrFp/epVASeD/v2CoaHoFo1wPjYSKABRCL6dxBSGg45ssumfnFIX59Fvk2zclF4Kj5qycKAk92SwWFJc+Pp9uezmmzCsH+/YuHCkNtuiua2VIJXXw0pl6ClOeC66ydnmVMKPv85j00bFcmkYfXqcyQ4mMNj0tmt2N1hsaw9ZGBY8uYOiw/d5EXK3bkw8NE7Paqe4OgJydrlIZ++pzqtYn8l0dpQDc9W3AxJW5K0p2mwgXIQkrRia1BMzFRUfI2rJHI+roDEvL+IY5BipiFWkCYw1cv28r+Ajw/DN47ZvDEgSZmAKgILuLXOxxp70Eo+vH7S5t0eGy+EdfUBt7b5NKTMtLFKx3sl33kmwZEuiVLw1i4LKWBBs8+Cek1Hp2LHQTV3BWmWOqTjOmTzuSl/8ypVCsOFc1/KwCuv2li2YcMKzb59irfesmZWkM5q2+J6jZQgjIhycZsy0hiEDnCTkttuDdmzR9F5XFFfp9m0KThlFZJKzjo99K49iid+4QLwifurrFl1WkFatkyTyxqOHVOAJlKOxlMXJgGHU2/VIIRCiSCTo1SQZDMGa8gwnJPQHiktpbLAtsGxTwvjfX2C730/QX+3JJ02fOr+KiuWhXgefP3rmp17Mgggm5MYWeXGG06P4XgP02m47rrwoq8TpBKGVMJwokdRqgpWLgqYRfmjU43L5wxf/kyFqgeOPb8sRUFoKI8p0VII7LMsRUII7GmyB0I01CVfU5+ajbYYMRrHH8V8gCgHITWuNa+e+5gIQ/Q+GufMf8fEvJ+IFaR5hNbw6i7FD7cp3umWjHSBCG2O1IDeYvA2gCUh0PCDfS5vnLSpcaMisU8ddjg4rPjN9RXyicmuRsbAz95wONotWbskREk4dERyuFvxzgGLhpyHH8BMHm7TysgCjImsUFNRKZYoF4q4ZxbqOU+EANc1VKoS3wffF7ju3ILvb1rs89CHBK9/X9HdISAEYTRIi1tvCamtlfzjtxIMDwvcBFQqVW69NVIaHddBWYrC0Ai7d1Q42WVTVxuwYrl36mNtMFhOisd/3kRXj8QAP/25y8rlpVNWjpYWwxc+73Oow3D8hOatreGY+5sFJIAAjAAhAQFaI9F4FUVTOmRze4hrafYcUDgWlCvwkS0etfnTY3HipGT/viqrVlTZdyDBicPDtNaW6TjscKCjldWrDckEdBwSvPqazY03BAz2DpDOZ7HONuWcpyBiTHRvnEng+yRFgU9uaeSld1zSScMDd1bnnJYdwD1H6vrLwlhMkR9qSn6IJSXpceuQEMyhJi/GRPFHtYm5vZq90JCJ448uLVPMc8aNP6GXGzN5DTBmHiHg9PsPCKezlM8XYgtSzDTEb/d5xIl+wfP7JEeLMLhPwNjCSzAK7z1p899XJFm3NKQu1LzXY7MsH5Iek2NbUrBrQPFer8WWhZMtQN2Dko6TioVNGq3hnZ0Wvb2S/pOS44clJ48K1iwNWXDr9PE8U32UAj9Aa02lVCbwprY8JdMp6lub5zoc0/KRez0e+YFLR4diwYKQO++cm8XLVvClOzyWf1Pzf/3/kuzekUKKgFtvgf/xN1Vee91heERwzTUh+/YpDnaoUwoSQK6+ln37FD96PMHgYGSd+exDFW64IUCHIeViiVBLtD7DsmGiD/vAgGF4OKrhs2kTfPbhkGefFfiBw5tvOkSjXASZAukCFmgBTohQhrSj2dwe8Nn7qyxqDnl3p02hCIEvCALY+p7F+lUltIb3dhqOjeTZ9XKWdctC1mzQ1LVk6C8ohJQIMZ6K25xK1KHDEClnbyWbwFkatA41lXKFSrE05e6r2vq4dk0Ge1Z+dfOXSqAp+yEJW15YTSIDgTZIIWZMxhBzedEmej4CbaiGGluKuPbUFWSo7FOTsGL3unnMme+v+F0W834lVpAmcOVikIyBX3YrXjeKHkfAGuAIWEUIPCgPC/7p5QS31/gkPPA0p5QjACUhacGREQXGnxSDFIYQhgJLaY4cVxw4rPCGodwpGBoRlE8KaqTh5Tdt2ho161fOLvHB6NAIQkA6l8WuvTyC7tq1Ib//e2UGByUNDZqamrknD5ASbr8u4NFHRunrkwgBDQ0apaC+TuO6sHefwvcFra0Tx0II6DikGBiUbLwmYN8+xa5dFjfeGFAulEBATW2Kj93n8cRTDkLAXbd5PPUL+MdvaQb6oakZ/uBfSB78tKZ9geRjDwj+198lePzxEtq4ILNAGM1lJoNbL2hbIrh2ncct1/rcc6tHwoV1q0O+92OXl9+wOHBIYUKfj98LWLD1QD2brzeMjgZoBJ19ikWLNIsXhaxbG/DeNguEIOkabrn5IrhBnDHGgR9QLVWQlqKuuWHK3QMvYKh/gIbWprldZx6mmbXVDDFFs2TcNaVuDq51MZeWIDT4WmMMWFJQM0fLXszFpeJrXGtsAWeevQNi3qfEFqSYaYjf9hO4cjFIz51QPNOjCBQYz0BWwHII94AIxop/VqDeMvRUBRJBqCPFaBwvhJyjp4xBasxrmmo1XQOKk92C/h7BvlcU1Uq0c6UiOLBbsWiB5ucvuqxdXpq1y1MilTqnFeDwYcnx44qbb/axprjrLNsmkU5SGBohM02c0pnU1Rnq6maZvW6GKbQsaGmJzCfjatbGjQEPV6ocOKhobQ25847JFqpc1iAFHDsmqVQE9Q2TExhcsz5g9cqA1960+d6PHH70E4dKOWTlkgo7dxr+0382/N3/hltu0bzyik1Lcw25XJKRokAjECbEpFycWsmq5fCFh8oEoWT7AZtnXtd87C6P4RHBrr0W7W2a2rxhx/Yqew/VkMobbAVLF0ZK38Gjir0dituu83Fd+OLnq6xaGVIqCxa0aTasP4eCNEelxPc8giCgpiYz7T7SUqRzGUYGhsnV1Uy73yTm0A7PA2c+uOGdA2Og4EVxRDFXnmqg8UKNEgLXktNmHIy5fBSqIbYSJC0Vxx7FxMRccmIFaR4wXIXXuyQhsKFFcyiA/T0KHDB5kAG4jZBrN1RCeKDRY2/J4sCQYmlNiBJwoihJWYYNDVMrDY4N91zn8Z1nXHZ22ezfpaiWT6/CaQ/6eyVHjkhaW0OqXpTWesZ29w+STCdxE+45+/jeNov+PsmKFSHNzZOViSAI8MoVcnX5c57rUjH+zZUSbrnF55Zbpnfdu+EGn4FBwZ49Fhs2eGy5a+p9T3ZJvvdjl7fekfT2BiAcdu8HS5Q42SX5r3/jsmYFvPKiQ01Os3iRYM8+h0BLsKo4tTaLFxuWLYK6GpBSIwS88o6iLQ+LFhpsxzA6CkqPIOw8ELJjt+L1bRYdRxVL2kO8EJJnxKZlMoa77jyd0e6Xzzt0npBInePuuySLF53uw959ihNdktUrQ9pap85kF4aGfQcVoV+hpXYIN5mYNiHHOFIKbMehMDjCYBBQ01A34/5zYd9JxXefTHDkmOLjt1b4zH2zTyF+voyHWs1VeBuPO8q51gfDHWUeWgDPJhxzdUza81wYfx+M5cVgqOyTdS3UfLUcfUDm4aoktiDFTEOsIM2DN9vxoqQaCOoThpEgsmiMaBjoU+gsOI2GFStDVi4JaawaPrzIY4Mb8ugBl45hhTbQkNTcu8xnRe30VpXNKwJ29yhePGIjQyYWSDOghKGvX2ERMJPOozXsOGRx5GiCxQscNq469/htucunr09OqRxF1zdobSalmr7czPZucF345Cc8PvmJ04J3GIQgotpC4/T2SXbstlBKY1mGkZGQwqiCqkAIzTe+6VHfUsPKhZo7bjHUNyh+9jOf7bsSpPNp3BabpkbDymWn6yvVZDU/e17Tsxce+Ajce5fPD34SsK/HYckSQ9GX9A0qEg4cOyE5cFixeYPPTRsnW4mCAH7wU5c33rZJp2BoMENnF3z1SwGtLYaeXsF3HnE50aVYsyrka18ZwbImz+HWd+A7P7GwLZff+HyOazYkZiVYKsuiYUELWmuGegdmMfITOTPFfU9Jsa0/waE+h10HFDu3K4aLkqNDNmuW9tKan/hs6HCWFshzIMV4bSMfJQXZuQTum6j+1gcq7uhSdvMivs4F8ys74pTMtX1X/nN3XmgTZYS8bG2f6zi9D8f0gnif3kcxMXMhVpAmPOVXJgbJGEgqw9qUYe8IBNrns7ccpcYe4mB/Dl8v4kOLombsG1HsHLa4uTHg9zaXODqqCDQsyGhy49ncZqiD1F+V3HVDQOKY4YXHHUJv7DcBmTpDTU5z103ejILBc+/ZfPflBMVRQUtO8SUZsHnFzC5a+bwhn784AumcmcMUCqBcKKH1aSVgYFAwPCxoatSk0+CmElhT+AmWCkWklCQzqVPbLNsQhOC40dm1kaB9EApjDIf2aQZLIaMFm2vWRxn0PvuQZMVK2Hit5tU9ITV5w/Llp8fu0EnFUACqaNM9FPDggz6N+TIjoyAcybcfS3L9Bp/1qwTdfZL+QUFLvaatefL4Hz0u2bbTZtmSkHQK9CKLrVt9tr5d5ZqbAnZ2Ohwfcgh9TWE0oFws4ziTY740WaSVRNpgu6cTQJxzvMfmRSk5bQ0s349qMsmxDI5vdNl0VwU7fYujPmQtTVoIDgzYpIY1+45YlANB/aKQZL/ArrE4Vm5i/eqJVqSeYz2cyoRyATiWxLHkKbesuaAxjFbDOO7oYnERXtX+WN0qW12FEuBV2KVLQjxOM3M1jU9sQYqZhlhBmsDFiEGau0LVnDKkbbAE3FAT4NZsZ+GyXfT5gs2tmmJxAMdsAgSeHXBAVaknZIlls3Iqi9E0dZAAyr7AUYYHHvbp7lQcPySQBhKNcN3GkE0rA27YFFDy4ZnjDgMVyYa6gM2NAVLA4SHJX7+Z5IQvyWRtesuKN/dzTgXpinIOnbdahZ07BV3dgmwGWupLLFiYRCpFR4fgkR9Y9A8KFi00fPpjg9TVVcjkczgz5Jj2fXj1DZtjxySN9ZrjXTKS8jGRyUEpCEK0llj4jBRd3tuluG59yKFDklw25PqNFZauCvnF6wm6+yT5rGb3MYu3DlrUL5Kk0hbdIuRYT4VsYojlK1rZ2xFd23UglTTU1YT0D0ZFaUdLgjeOW7x7wkJruKY1oD7UBCGnLIZSgpCGN7okr3TWMGwsRq+VpAc099xWJV+XQk1RsOim68F2KlgWrF5xDuVoukdkiu1v7bT4xcsO2YzhoXurHNGKv9uV4EVhc9LSWAvKVEMHq1/hn7Roq2pyI4ZuT6ItyDYbCoHk+JCY9hpXCmOg5IVk3DjuaL5QDTTamCsTdzSP7s2Yy0A83zEx85pYQbrozP2N15A0XNcU8upJxYAP7UuO866swaSSNCQq2M4J9h9dS0FajLYOsidXoUvAZpPgQ6SQc7jmmuaAp3Y7tLZqPvmlKtvesOjuiwrHrl8e8NlPVMGB/+O1NC+etPFCQb1r+OTSKhsbAx7d69CLwgoMlqM4WpXsPnd911kR+B79J3tnv38Ao6OKdFpPadWYDb4PP34sxbvbHIwGrQXtC1L89u+4LGhXbNsh6BsQrFxp2LtPcKAjwXXZAiP9Q5NSYWsdkspGSQlefcPmBz92URIyScOSRQG9PZqRUYn2JAQGkBitGemXLG/wGS1ExV2DIKRU8vnu9yS33BLwsTurvLHD4shJxf4uybL2kC3X+kgFu48ofvm2zfoWl+7QwrU1TQ2aw52KpQtDghBO9EhuuMbn6cMOrxyxyboGAfxou8sSd5iEG7Btu6K9xWe0oChhcbQ2yxJXcE3CULhB8/qAzU+tHGLI4/pan7NletuGm66bpZI83e161vZKFZ562WFoVNLZC69vsxhtkWzttuhpEXiOIbTANwJfaYKi4FCgSPYbEgnIJg0pDN0VRXdBTXmNK4aJ0kcH2pC5CG6lgjF56/0gdM2jNha9EEsKHCUp+yFSCBJXKgnAeaaGny9j+YHmfOYhnrf5QWxBipmGWEGaJ1+Ym1s09QnDtp6QvhoLO+uzSIaUbY22FKtGfU4kK9TUV9hkW4yi2S2qbDIuDXOYxpuX+uzttth50iJbp1l4Y0jdoOH2FR6fu6tKOmf4x90JXj3pkLEMtemQQU/yVo/Fdw+6DBUFzbWGlDKosmRZnYdMG0aq4rSL3xzRWhOGmkQ6RTY/u2xmQ0OCRx9xOXpU0dik+dzD1VPZ6ObCjh2CvR2K1WsNqVQUX7VzZ4K33tYsaNckktG24eEoY2BtQ5bGBRl2HlUcH1Asaw5ZMZYGvDA8cuq8J09GSueaVSH+TsXNN/msXOzxrW9pjh0WmFNvTEngCYb7NO03+fz6l3x+/FPD8FBUtPfwYfjC5z1uu9bn8AnJN59J0lynT2UCzCQMT74esmvxIvwwUgqWLwrRh2H3QYWSsGppyLqNAY/sT7Ior8klDGEQkqLKq6O1ZG/RdL2pONYPbSnN0i2awWWCtmSINrBvxOJ4QXKsoBiqCnaPKK6v90koWJoMJylL58NUT6GSUaKQE72R+J9wYagcZXlMe6ATCn9YYmmDf8IBDaYfQqDBDskpgyXhmoUBqSmKJ19JtDGMVANqExfHta4uaTNSDUjaClvO00D2ceZJDFKoo3uiEmgqgSZpSRz1Piu2+wGJQbrsxDFIMxPfRzEfAGIFaR7EIEHkdbWq1lCfrPKCW0PO7cFmGAdFYDfxyaUBewh4XcxC0JshBqkpZ/jN28psPWLT0SfZ0GbYuCBgfVuIEPB2j8X2fotr6n0Ojlr0ViQygM6K4uCQRUIY/FTIkiUha9IhA8UAXxsCP+B8JWW/6lMplqhtmjoGZSre2mrz7ns2ixeH7N+veOFFmy98vjqr8TiT/n6BDiGdjv5WCvK1cORIdMCddxh6eqC7C26/3bBpk+HkoOT7ryToHpIsbAj5/Y+VyacnzsvSJSFvvmOzfacilzPcsDngwY9rdDXkG98U9PdrfF8ghESKCs1NNn4Q8rdPOAyiONgHrXbArz/gIWVUK7agBVUDh7ok1ywJKZcq7D6aZKTqcmudJpM0dA1K9g8qvvixCp0jioKB65cH9AxLRnxop0K1YjDaMJLMcLBP0ZoQdN4h6R+QHLdC0vUKJzQsNyGeLzhWVORsg6MMCWX45tEELw/b5F3D0mTI51qrtCTOrZwe6ZPs7LSwFGxe5NN0Rv2qqabHtuGheyu8+K7NW7UWx5dJFvRqrlMBrgzpHoB3Xk0y4gu0EGgfZBlq0azIau6/xsMAe7sVrfm5K8+XCmOgGmoS1kUUxgXkEhYlLyTQXDkryJVmDn0u+SGukqQ/SKnVP4j3xPkQj9PMXG3jc7X1J+aiECtIE7gyMUhnkrEdskEDxVGLpVkYRVBLihSK1Sg68OjARyHYbBLUMcXHfYYYJICGjOH+9R5+GKUHd9TpYPndAwpLwubakPqE4d2TFgVP4DqQsTS9RYnokdxUb6gaQb+f4Nr8ICnpA8k599ev+lQrFdI12Tkd53kghCGXM1hWVMdpWmbQefN5gxCn6+UYA6MjsGljJLzX18Nvf9VEac/HulcZEpSrgkzSUPEFVV9QHkvQoEnw9tsWPd2SVUsDsjnD5o0Ba1aH+IGgs8vGdkIamyTplGBoGAJfU5OpUEgneXe/w4dvD8hmBaNVm4aVIb0jId96McGeowGDhYDuQcngqCatoCZjaGqWZJKRAtBSq9l1VLFt1GJbSnEiCPlml8APfA6OuOwIUlyTCFieExwtSfpCyYmypJwS0AqHUIhAYBmDrghuxcfTkRvbgmRIR9miFAqWpkJqXcPeguKpXpvfWDiNcjrG8QHJP7yUoHtYYgzs7LT4yl1nKZZTPDqL2zQNzVUGhiRVBGvaAlYdtTjer2gXhtZWj5/2OlSKEgdDKg+rMppldSH7ehQGSDdodruKf/tKgiYRcke75sYFVyZhiNaGghcSGkNt8uInZkg5Ci/UYzWVrA+mkjRLkpaiGmpEaOZHQoZ4Vf6DRTzfMTHzmlhBuuhc2BvPVRZrSvXs0B6lrCGD4hZTQw6LHPCgydFFgINgCfac4o/OxAvhewdctvXZuMrw0UUet7f5lIIoiYOSkFKGwBc0OJqEA26d4aCCZKipViRDQnNjm8fdDUUwzoSUy2cSBDAwIsikDKmzaitpHRIG4emEB7P8aFyzIWDbNotdOxX1DZqbbpy+ZtEkzjj/mjWGdWsN23dIkilDpQxNTXDzTYaKB7s7LZrzmra60xaIJU0h927y2HNcce2ygOa8ZnTQp1C0ePSJDLt2RY9VGEJtXrN8aYDWhh896/DmtpBiVaJDSTpraGo0SGnwAs2xYYktDPmkYUmLZt9JRUeXpOPwKDsPKVY2lcksy/DuIUljFj57I3QOhjz1rkLrKMFCxYvmYHdF0JEo058psHs4BX5A2WhOHktxLGXTcAg6QsVoXhAGgAekgVAgB8ApwPF2ybvGQkkwISjgaEmxMhNQ6xgcCQsSmo6yYsQX5OyJVjRjwIwVB9rTqTl6ssqa5irawJ4jLtv2DrO+dWbFapxPaIkUkBWaT62wODTgYElDe60He+o5MuyAL/AMXNtU4UOLCxwYdjgoHV6upuh42ceIMp5OkHtH8M9XlPlYzUVSksYsQoE2ZBxr0m+GyJ2r4AVIIaJisJdQMHKUxBKCkWpA1lGXNz3ybJgngqGlBOXAoM08aVAcg/T+JY5Biom56ogVpHlIvZ/kxmIDG5oESRTZM6apDjW11WiOHBpRvN1j057R9FcFzx23uaHZZ2FGs60vut5AWXDwoMTrVQjL0Lhcs6olZIEd8oV1VVY3hDSnNVDDSP8gBkimkhNe/MUyfO8XCQ4cU9RkDA9/uMqyBeGpfYSUKCUJvADLsWb90Vi0SPM7/6xMV5ekvt6cV/wRQCIBv/IrIWveMRw+DHX1cO1mzYIF8PQ2m5+87pKQsLrGZ/9OhfBh7ZqAhx/yuO/asZOM6QUvvSh4642AFctLp5JGdB63+dEjhoQ9witba6ipCQkr0Nsl6OkxZPKCmlrDyKjGDPhkmzRSFymOwuioC36J0K2lttaips5GAG31hqQD1640LBzx2XvCYufRqO5RxYfrlgWcaKrQMSQZ8NNUqhZmxCG5bBQ/bah0p9jfKRhtFuAANlEQqQZC0BZUqwJPaRyhuasloEYajlYUC/2QDbUh415JFS1wpMGRp5WjMNSEQUDg+VRKFQCUzpBI1yOSDjoUZLKSphaoa5mdknJmCdm6Flg7PvQG7gwcxHEbS4ISsK4lwXOVNIek4CXfxTvok012MeplMJ6gnAh55ESCB2osLkaa70owrhydVnyMgUBHwnc1iOoc5cfjjS6DYCSloMa1GPUCXEtiSzl/rEnzpR2AEgIzljBDzpsBmgPvwyZflcTz8P4lTtIQMw2xgjRPcbWiiYkuOIVAoA3RSv2ZK1YzrV5N85sSkcWhHIAXCmrsKLPZhvqAl0/YvNxh8eYui6N7FFqA0XCyKKnJ+DS3azY1B+STU8RDnXWt7Qds3tlrsbBZc7xX8vSbNsvaTwvFjusgpaRSLGP5Fon07Nz0DFBfb6ivD6NV+mmsV7NZ2Mtm4a67NHfdOXFnx4qy3O0/rHhtp+K9121CHzJpw9NPe/zt34ziulCtVjFIDhyppXWBRW3D6XlbmYHdeywKFUVtvU19s0cqGaIcSXe/JHAEpUBTHFGsWAQrV1gcKeTpGxSkbUM2IbESIaWqxUhJYElD36hg8+KQniGJaxu+fHeZNw7YjJQEzbWam1b6/F+HDANDNoNaEQQGWTTIZkN6UZFSZ4pin4R2oHtskOqIlCWHKNmBDV2BoldqDpUtNud9/o+1Rb51IsFbwzZGRIn4RgLJJ5qqJMYUJt/zKY4UCIOAdDZzqrbRzbVweCRgZ2dkkbptpc/KlvC8hXYDdDHCPtlHfnXIlvp61FATi3JwqKJ4r9viiCfoF5LkYIi9yMcta3wtsI1BJUuUqgL3AgWbIDQYDI6KrDShNqdqIZmx4pa5xBV6zQrIuhZlPyTU4Qc3LmkGUo6iUA0QocS14sGJiYmJiYmIFaSLzoX6PBgcx8LTCXYdqbJuscWgJ/hlr8Ou0SimYnkq5N4mn9bxwPizLtfVL+nqj4TnFQtD7ClmeWku5K42j7d6bGpdzUcXezgqKjjbXA75x9dcugcloQS7xiO3aRAr79OblmxcbpOfZbiR1pGgaI+57YXh5LGxbItUNk2lXGF0aIRsPnfO84qz/phl5uiI6aborG23rfbp7xX85KjDs/tcwgCkBaWy4CePuqxeFfDVr1RJORWkshBisgAqBGAMrg23bwro2G/z7uuGMmBSksFRw8CAQWVtVL3NykbNGzstTvYrWmtCflFy2Lgq4OZlPjs6LQ53WfgeOL6i42gSS8HKtoBrVwSsXRiiFPRXBCMjNgtTg5Q7axjsTYMvCXps7KaQYFiiR4E+oAUoAhmgQpQCzgXhGMJRQVUBCcObgxau73JiVKJ8TTELjSnDPfUV7qiL3Bur5QqF4VGkVOTq8tjOaUUx6cCv3lbhxKBEAu31Gnn2qtoc6iMNUuJN0UkFH1tJdPNRrm0KydLHUwea2VNdSn/ZELoaL2cTlGxq6odQxQqJ2goLtUvKNYTeFNebA4E2VAKNJQXVMLIU2VIghcCaD3EtQNJW+KGm6IWkbIm83PV9YmZH7C73wSKe7/lBbEGKmYZYQbroXOgbT6CUQCiL/tEKZR++f8Jl27BFa0KjBLw5ZNPnKX57cZnsWXEfOw4qfvCsy8CIwpKGa9f4fP7DVZyz4sGlhE8u8biz1cdRUaFagO2HLPbtt3AcSKYM/oCm9o4+7JYKfslBZsuMLixQoIbMGU99traGwvAIQkAidVp7Wr4goL8jwStPJGhfFPKpWytT9loqSTKdxKtGtZCUpcjV114aYW4WpxwYgI4OiT9g0GUYHBL4vsBR4Doaryp45TUbJQWfeMBi6dIoLurJnzu0tIzVhAW6uiT5vMGyDNkAPnZbSN+Aw8ntmlIBAktATRI/4/LSUyEvfR9kjSRhBfS1GMwGkMLiiw9UeG+3xb49CmFAleHGa3y0Ebxz0ObdDpvb1vp88pYqKWVIaJvB7hq8YRfLhIQ2+BWbsN/BlWNf5t2AD6wicq8bAApAyiBTBqMFh5M2vqfRI4LePsX6XIDwBLUVzVdWlGlIGowxlEZLaK3JN9QhpECeqf2MXc6xYEnjDK6Qc9ByhyhTpMoCorTwe6pFnil3kzX7eDXM4GVHyOcqOMUMK671WX2khgPBICJXpTFwuLcmgRdoFPDm8RSBjILjrmkuU58MzmlpMSYqKlr2Q2wlSdlRf4UQ89JKYyuJkoZCNSRlK6z5ngr8MpJ2LEp+CIHGta6gJBPPxweLeL5jYs6LarXK1q1bOX78OOVymd/4jd+4JNeJFaR5SiJhIUSGR94rszdhsSoTnnJjqrFDdo9a7Ckobqw9HUPh+fDEKy6limT9soBSBd7aZbNmccgNayfGWoix/8u7hoInKFYNKQfe3GcR6iiJw9BOiVNfRtUFDPY0oLWFXwl4e003C0KNPeDSXqdZ1hSitR4TDicKGC8+5/DqL2xCDY05wXtv2dx5Y4CcKvmeEDiuS11LI2EYMjIwRCqbntBmezyZw0WiVIEdRyykgA1LAlwbXnhR8dxzioEBgQH6j2oiDUJhAkM1lDQ1htx5e8DJk5JfPpPit75S4pZbfA52KHbtUiSTUWY814UVKwJ+8MMEw8OCnkHJ2x02A/UC3aij/N0l4O0qlAw4Gh3YlIqGQwVBTxcsXC5IZR1e3eHQkNbU5Qz9Q5JySdDaZKjLhoyUBM9vt7EtQ+MKw0CpwsJUhsogFH1DWUFVSmzAbwZxFMwA8A7gAlkiK5IDhAIqYFuQDGC5G3LUUxwsSPx+i3xCM1pRHBuGnPTwKlWUUqRz2TGL2dkTe35zM9MCq41CIqgSMFC22DEs6DxRS85pp8vKkkqNUBQJ8o19fKyhl/9w0wp6h2s40KMZGILWlizquAINdY014Eb32Xtdo2xsGKExPTk2KdSGsdI5BFojEKQdRaANBlDz3DIjhSDnWhS8EFtFxVHnozJ3uRFiPKHIlW5JTEzMZSe2IL1vqFar/If/8B/4m7/5GwqFwqntZypIv/Vbv8WTTz7Js88+y+rVqy/oerGCNG+JJJeSkQSGU8oRRPFDAsNoMB4RHu1eLAsKJUHDWM2XVCL66BdKUwfn7O5RvH7U5vBQJCi1pUO2H7Foq9UMvCAwI6CTgqKfxjvoQpeg4Nr8ZLCZSpvGHk1Qnw358pYKdXIUJ5nATbqnLhFq6DgkCQJBOSXY0Sfo+IEiTBm+9sUKqdTkZlV92HbIwrEsNiyqoVwsTPjdq070iRJCkMqkoyGYYwyS1vD9F1227ncQwK1rPdbU+vz0pxaZjGHt2sgNbGhQ0t7iARZhKMlmDfffX6W21hD4VZ593sHz4ZOfNHz5Nyps22Zx5KgindYsXqR5/AmHMIT160O63xH0dkl0AKxUUQP3VqHkAT4EIQQpcCTGh2pocey45InnLZYvCxkelZQqkYVq3EqFgVzK0FqneWOvzdJMiK1CPr7Q5zVl0dOpODoqqaQNbsowKCTDdxj8vQJOAlUgdXqwhAFZFajAsDoXclejz7f2Knr7FE11hqMDCoY1lVVlqgkPJ+HiJk7P+8VaGZ3pNC3kWGzqOCoGOa4FAyO1HOxcQU9yFW6zpFkdZlH+KHmqJAdW8WPtsKJcwfct2lqTEy1cM1zNC/WpgqLGgK+jWL2kLbFVdA7tawpeSNIeKzQ6nxGQcRUVX1MJolhAV32w3e68UCMFkVUtJiYmJmbe4Xke9913Hy+99BLpdJq7776bHTt20NfXN2G/hx56iK9//es88sgj/PEf//EFXTNWkC46Fx6DdObxth8w6msKSUHGigQ1T0fKQN1YprTx3bMpQ32N5vBJRdINGS0JLAW1uclLo1uPW/xgh0slEDSlNdrAuydsdpy0uFb6VIYFeOB3O5itwGGBag6QGRjZk2Bft+GhO32efsfhW4Uqv3Z3kkX50358e/sVj+1z6V4kaF4Xsv+whR4UWA2GH/4syeJmzUMfnxwA8vw2h8ffcEk4hl/9EGxefjoeyRhDtXxmWmjDSH9kZTqfGKTRsqDjpEVrXUgQCvYdVwzsjYTG1tbTY6a1oLERshmPLVsMuTNCpLpP+nR0OGSzFr6v+Zf/0nDnnT53EsXlHDsmKYxKFrSHGAP9VYmWRGm1zdh/h8Oxf/igPRgpQi4Ltk0YSBIpwYluyeZ1AbYSVD1Yuyygsc6c6s6+oqLLFzAsWDgQklIh7w5Y1NQYPrq0xPCI5N0RG2kZjhYlb2ubaqOhWJCEVaLYIyv6nylGySksW1AYEOxPWdHPUuMbCBVkTEC9y6R4MWPgxb02bx60qctoPr65OqEg7JnjP928zGa7jeQG2llqankhEPzT4SYOjKYI0oJEwVCfWEFz70JWGs2JWou3jho+lpBsqlGIWZpNyn5IJdA4SmLLyPV1XA0801rkKIEUklDDaDDZ8qSEIDXPipEmbIkfRu6R5UDjKjlvYqYuJ2U/WkxKWPNASYxjUj5YxPM9P4gtSO8L/tt/+2+8+OKL3HnnnXz3u9+lpaWFO++8c5KC9JGPfATHcXjqqadiBWn+ceExSOM4jsWaphQd3R4HCwlqHYMUMOBLNuZ81mQmCmOWBQ9uqfLIMwmOnFQ4juFD13tcs3zifkUPfj5mNVnTeDqjXH0q5NAhxdajDrYCPwQqkuCXCahC2K+Q62Bh0hCMGH76sqCrO8QZTPC4tPndL52OL3qt02Znn6JgCawVBr9LIJUmLMPwMDz5gkMuF/1dV2u45pqQRALKHvgBGATVs0obCSFIjBVSMgbKZahrcejv6qW2qWFGAWdwUJDJGGz79BBnEoYFDSHbDtmAYdOSkK5DUczQmaRSUYKJckVQqRhy2egchihhgxCGbA6qXqRY7Dmk2LbfIp81rF/ik0pr+vslCxZovIBIGbGJvPYgMrVRIlKSyuDZ0K9BpdAuVNozhBXBe7ss7r0zYOmiiYk3SiHsLSoGfElaa1QJPrVkiCcqWYYDwWvDLiuzAf/HmiK/GHXYdSiBPyyQwmBqDcrS2GFIUBQEwzaEYNlQl9QMI3jtpMWi+pDGaki98igHkhsWaBY2upzNwR7F4++6WNJwqM9CSvjyHZWJj8WctNnpt1tIFBm2uRqvXpDvCRGBpKGi+bNFBT7U7GOAJ4YcXuvTLKl1plSOxHh+c0AJA5hTabqTlsK1ZnZFk1LgSDHmpjVxx0BHCsh8JCqOKrANFL0Qx0Rudx8Eoa1QDQm0Jmmri+9qaCZ7mc7l2CtJ7GZ4GfkAPGcxMReLb33rW9i2zbe//W1aWlqm3c9xHFasWMGRI0cu+JqxgnTZmf2ykRCCdMrm/taQN3uKiEySwMBtdVVuq/MnuN2Ns7hV87XPlOkbEiRcaK7Tkz7+B/stegqSVQ0Ta9AIAZuXBzz1ukNji+ZIt4rk9kLUZDOisErQnPa5c6XPcLFCXZBkSSMMFSRBANZYm3IJTceI4vARydCABMtQHJUUPRguGYb64akfS6QytLdovvQFn69+1eOuayKtKGHDpmVT16gpFuEHP3A5fESxZk3Ix+4P6D3eRfPC1in3f+klm1/+0mbRYs2vf6kSKUlELmqfv6vK6vYo3fSmpQH/a4/N4PDE49vaNPv2KxSREnqqhhMgsFizWtPWqrnrLvC05Ls/dxkYiSwKlSrc+2Gfx37q8ta7ip5uGcX7KKAfyBvIhzDqE6WRcwEHjASRBMelUgpIpS2Ugr2HFQtaJipIroI6O7IC5hyDH0ZJOHzg+roADOwZVXy3z+WItkgoQ8lEBWJlQ0C6eRQhNZVDCYKqRPiSBtewOBUyEkiswPDbi3roTChOljPUZyWfWueTdCbfx6WqoOzB6laNNpLB4sVLBjDVkzOCQbkha5eVGKoaVg5JPtzm8ZEWH0vBnhPw8vMC5aQZTITkGyafN6d7UeEIAOmaAEHIaDWSFJWcfdIFIZikgIn3gcApBGQcRckP0UbjWFFR3quVcZfJtGNhX0CyinElevL2KLPh+5HR6oXXBbsUWFIQaI0tPxgKfMxlJLYgvS/Yt28fK1eupK2t7Zz7ZrNZDh48eMHXjBWkSZwthl1sO/hczyVISNicqHLPitlJW+mUIZOaft+KDxhQkxONsbhVs2RxyOJ66OsWFE/IKEbFBqsWlqUCEgnDr3xoCK8S8vhLDn6ouP16nzPDUFbWhrAP+p6WlIcEYggIQLRBIqEpHw8pBxK7RlIZ1PzjjwQf/WjA4sWaB2+bOffyzp0Wb77l0NSkefVVm5b6Itddl552/wMHFQcPWYQ6ZHhY0NBwemzyGcOWjadNVddfH/KDH1pUGg2JyFhFU6MmldJUK4rRUbBtg+dBV5eiqcnj9/9FmfUbHGwb9hySDIxIVi8JOXxC0dUv+dRnKzQ0aL7+WIKVKuSoUZSLIkqvHQhIjmc2EERZElxAgtAgQsKqxGQM9bUG3xd4viA9vkwtwBJwSz6gFApOeJLajMEVBkfCoBclmhASRo0gKzVeQSHCyGaSrC0T2hAMOwQVG5ULsUIoB5JuX1IIwBGCd708v3tLlbSq4loT750zWdoYsqo1ZN9JRdo13Lz84glcUz05ixBsQbKu1uPmW0MWGcmRTsm+A4pli0P+8SXB8dEktiV4cb9gcX0wSfgfls2gMgB09Y6wsWGEXGJ+CoqXDBHVBKoGmmoQ4ig575NOnC/FsXgxew4uhYE2+OFkpWcqi4u4krWvrmJKXkigo0W9uKZXTMwHC8uy8H3/3DsC/f39pNPTy4SzvuYFn+Gq4+y37pV/C1uWJJlOsa2jwsZl556yc7U4nzRYMlKUkvbEY4qeYMUSzaaFHuFSGNkrqI4IvFRUPHRDPuRT13m01o2QyWVYubKK50PdWW5phU5B/9uC8kDki2Y0sAzUMhBpgSckQZeEnCBQio4K7OpUeLZgUWOIa0UrvWEIzpmWChNZcZQyFIsCyzJYCjIz1E6643afMISlS0Pq62dWMm+8MWT3bsH2nYp06vR17rgjYNWKgCNHLQYHBUoZbr7Z48YbfPLZCgN90NjssKBJs6I9ZPchi5RruGZF9EHPNxhUEu66MaCA4MU3HcKAyGikk+A4URpCXCL/OwtCC7SFqRqEK/BCqEkZDh2V7PMFDfWG9pYQx4mUpMSYtLZhSUC9rHJX2uO1QZv9SuHWGQIlKHuSQSVICo1IBjTWnGBpeJiCnWWXtYnQdjChwRsVFI2gxfJwE5L9JYfHT8CXl1VmFEyyScOX76hwpE+Sdg1LmmZYSb8Iaw8Wgg9hgYkSfPz8LZtnn3eolgX5+io1q2wYFgRa4Frmsj/NlhS4lqTkhZc+DukijKdrSQJtqAYaW4lTiSiuNkq+Js3UtaqqgT5V7HccJcSkJA7zqdbVvGX8njzfe/OM41NOVM/LGCh6AQZIOwoZa0oxF8L7xIL093//9zz33HP8/d///YWf7DJx99138/zzz2Mugu/uqlWr2LZtG729vTQ2Nk6738GDBzlw4ABbtmy54GvGCtL7ACkltmPTN1gmCE+7sZ0vy+pCltWH7O5WtKY1jhUleAg1HB6SbG4N2LAo5HWhWXVDiCXhSEmSCOCfLSzTnNMM9kbnyqRP3/gVDS8P2RytKLa9oQjKRB83BTQDrWCVDdk6TWGBRBjQRmCFIc6GkP/+tsPSXZAYEfR3B3Sc1KQzhg/dGPKHvx7i2JE7zDXXBNx/n8fBDsX69T5Ll1Sn6OVpVqwIWbEinHEfgH374OVX4PiJgDDUlCuSxYvgvvsMmzZq6uoNvucxMiywHcjVGHbttPjff1/H0GDA6jUhX/iC5Nc/WaGjU5FJGVYuiq5rxg0+Aj5yrU9vj2TfIQvfB1wbFjXD4eNgVFQwyNhQDaCkkDkLpQR9RajNavZ2RGnJX98qyKclSxdqrtkYsqfLorZGIxzQPnyi1SNdYxgou7TaIUep4qYrrDOCwvEsemEPG8s76DHNHA8XEBpFaATShlRakxIhUkhsIXAIeaXH5kPNHo1K03E8uglXLAwnWA4hUpI2LDxjvGdZmPdCKFQF//Smy6OvuFSGBFvaPbbvU/z6bRI3oan6sHnhZHdTgLw+iRU6GGOor9MooRkqz/xCdy1JYpYPohJREdm5fCPOS+a7SONpSUHVRKFx9vzKLXFRyDiKghcSGoMygpIfTrAOJSxF+qyOz9f6VvMecdZ/L/D4cYXdUtHCW6EanlKSxIVcJybmfYzv+zz66KM89thjvP766xw9ehQpJevWrePLX/4yX/va11Bq4jvt8OHDLF26dNpzfvvb3+aLX/zipO3PPvss//k//2e2b99OX18fbW1t3HzzzfzRH/0RmzZtuuh9G+fhhx9m69at/Ot//a/55je/OUUm2ijT3T//5/8cIcSUbZ8rsYJ02Tm/pTTbluRqczz73jAfue7CagFZCm5v9/jltjSvDNvY0tBaq2lvMKxsCPjE2iqpBKxIh+wqWNjSoICPtVVpqZneIvDzPoenBx1SCt7psyhIgZBjccdpQIIchHQeFrcYhGsY6DYk13o4Hy7T2aDxuhW7v5dhoA+kJ8g5gl3bNF7Z449/3xsbC3jggejfxhh6OmfX75lGfu9e+NY/QaEATU2QTGq6uiOhdsN6qK8/vW8yZUiloFyCxx6z6B8Q1NVJ3ngjZEFrmQ/fq7hu7URpuKlOs6QtZMcBi+ULQj6zpcovk3CiTxAaQSZnseoTrbz5XEhXnxUpShUbu1xl1TKDlZHo0HDwhGJxc1RkdmQ0SjV94KjhvZMuNQthRR6+/nqSxW4tX22BlG2wqoaK28eoLFFFQ72gPd/PiCzT0b+M42ohXsIiTAgYFehQUjAQBJJ+X9BuGw4MWxS14P/dliTbYdi3V3H4pGLpgpD/71dKrFkygwJ6CWOQxunoU+w4abGgLuSNHoednRYLWirUpD22tNmntdMpGJKtoNJ0dY2wuXGEuuTMynQ11FQDjR/O3g1PiLnFdyTHBPS5uIHNlkCbcypresyF0w/fB0FUc6Q6Fh8UuRNqkrYkbdsTd4oF7XmNFNFi2XhdL20MriXj2l4xc0dw6Z/3Czh/T08PzzzzDE8++ST79+/nr//6r1m+fDm333472WwWiKwmDz/8MNlslnvuuYdPfepTDA8P89hjj/H7v//7/OxnP+MnP/nJlEmKNm3axIMPPjhp+4YNGyZt+6u/+iv+4A/+gHw+z0MPPURjYyP79u3j+9//Po888ghPPPEE99577/l3dgb+4A/+gG9+85t8+9vf5uDBg3z5y19meDgKGH/22WfZvn07/+N//A92797Nddddx1e/+tULvmasIE1ivsUgnXXcLOSVc7X4jT0Wf/VEkqNditYmTSJj+P+z999hmlxnnTf+OedUeHLoPN3Tk3OSNMo5Ocm2bAkjMEYCY7wGfIF34WK9uyzvj/WLX1iSd2FZ2GuNwYATGEfZlmxZVs55gibHzvHpfnKlc35/VE/uSdKMrJH6c10984R6TlWdqjp17rrv+3s3aoLrLvJ433qfjBuv5CPdTZ6fsqlFsDCluTh3ZIKXSCUJ/ABlWShL4WvYXLNodwydjqa2Gg6+4JBwoRmCqcbGUdI2VEcEOVujIwgsQeWAQ/oHirYNPvsXNone7RF+NUmiZtChptlUfPe7SW67WrNxY7wNOoK9+xVaQ2drmlq5SjqXOZMePAGt4ZFHYuNo1aojn7e2wtat8Pzz8N73wgsvKH70gI3vw+rVEddcHVKtQXu7plCAoSELP7Bo1Go4rouTOGLISgkfuN4nCgX7hhRGw4ff3eSOmzx62jW1huCr99tkRMRIn6Zv0KIaKm67WtOSULy6QzM4CP2BYnpK4LjQQBDY4AWKMDTceVlAT5uh5sPL+1I8tU+xcXlIh1vhFVknYxwWG9jWUAS5iPEoTdkuYJQgSZOo3cYSAWoa6s00ZSHJWYYl+YhmJGhREUNDkkdfVnQIQxDC9v2KHzzusGpR45R9fy441TmdT2rsYsDAvIA1mYgPtGlu3Rhw8OAonff/GFWrUr3pfUTFIyoNDSKOmPtHtX6aS9S1JK51HmMyDNSDiEaoaU3Zp1/+LPDCI3WdToWauZHOlnfzZqcZ6mOGSVcdKzqRtN+6+VVvO0Rc1wuYq+01x1uOf/iHf+BTn/rUMUVRf/M3fxOA3t5eDh48CMSiBH/zN3/DL//yL5M6qsDkX/zFX3DTTTdx77338m//9m/cddddJ6zj4osv5r/9t/922m0JgoDf//3fJ5fLsWnTJnp7ew9/9+1vf5s777yTP/qjPzpvBlIymeSBBx7grrvu4qmnnuLZZ589/N2hdRpjuOqqq/jmN7+JffxDr9fAnIF0Am++HKSz5VRbvH9Y8p2nXUpVSco21EuCVa0RgQOL8tFh4wjiOkvv6jhRMKFWh8deKrBnb52lixW3XA3KAkfA1IwN1b5a07sxws8LKqFAhZCe1LRrTf9OxUDVRtuG1hURdptmfkGjBywmlEs1DWGroho2qff52FIwZBRf+ZrNhvUhlg0/ecTmhz+KY7ve/U7J+hUHT2sgnYxSCfr6YN5xInhSQksLbNkK69fDt79jE0WxXPijj9lks4ZlyzTPP6/o64d8zrBsuUUilcSrN4nCkGTmyGDV1ab5d3c2GBiTaA3zO2PluWf22EzWBC/ttelo97n+SgffN+wfMaycp9i/SbB8QUhpWLFQBngNiVKQSxu63JCJmqS1G/a/qNgd+ixa4ZN1NZsGErxjVcDF6SpTJmIJmjY0L+skfVWbaiRoREmE0gilwZF8cOk3aQ1L3LvvgwxW5uOEsL+pWOBGbMhHWMKwBYuxGjQ8gWNDPnfySfQpjfVz+OxhYYvmso01poTPrWt8fr7FYnq8xJp8lfFt23B1Ezk6gt/SzWBJUqpKGEuTMZDICXKzqNv91BCQstXZy4OfQX82goiMa73liqJWvfCwUZR21DHdYM95FX56nMMcpNP9fq621xyviTdpDtLAwAC/9mu/RqFQ4Ctf+QqDg4M88cQTfPazn+Wll17ivvvuO7xsT08Pv/Ebv3FCG+l0mt/5nd/hIx/5CI888sisBtKZMjExQblc5tprrz3GOAJ473vfixCC0dHRM2rrK1/5Ch/96EdZv3499913Hx0dHWf0u+7ubh5//HG+//3v881vfpPNmzczPT1NJpNhzZo1/MzP/Ax33nnnGdc6PB1zBtIFhGVJcsUsj2yqcOOG1xZmN1mRVBuCpfMiNvfFOTB7hiWrF0a0z1JQ9hDGwM79ivEpyWMv2BwckmRTFpv3BIRhyPtvMdzc4vPtUZdXq7HC0IrLI1q7DJUJQd1IginD2H2SaiQJUyBCQToydF3s09kbMTEo8QcswkhAqMFIdOjihYL+g4a//TvN6lWKX/1YxNatViy5jWHzFoubb+xgfHCEtu7Os+4TMeNiny3syBiQAkolRbksWLtWg4Fy2TA0LPm5n/VZtNBQrQmWLtGsWqUBC18KwjDEGHPMxWpZsVIgQBjBN551eWa3jRCwb0rSLKXo6TYYLQhDWLwwYttmi588azM+CMuXhWxY5HHtdREXrw+ZnISvPZNg8yZJfUwjVYLKlEvnugrNTIUdGh4Sit0ySUkooiGXiVGXmpTU/ASRZYNrqAUOtjJESUkuXWbe/BHk6DxyFUGrpbm+GFCwDdqFNesi+nZJNrSGXLY25GduOrnqoIgP0VnlIBkDWkdMjU6CgGLHmVkv7ykIOqdqLPJrjA1qjDZk5/cyvPYmiramvmADmw7m+MELil37Ba/u2oCOoCOh+fD7NNetPaPVvHk5zT2h3AxJOxbWBWotHH19TjePVTPKutbh3T8UfjXHm4BznIN0Og7V9rLMjOqdr0nN1LqaOyfmuJB44oknCIKA3/3d3+X222/ni1/8IlJKFixYwIIFC/jgBz94Ru0c8qRY1uzT/cHBQf72b/+Wqakpuru7ufXWW5k/f/4Jy3V2dtLW1sbmzZsZGBigp6fn8Hf33XcfxhhuueWW027PX/7lX/Lbv/3b3HzzzXz7298+HCZ4pggheP/738/73//+s/rda2HOQHrDee2PzcNQMzZaprN4+scRY76gGgnmuZrEUYsXMoaUGxec7c5H7B5WtGQNd1zusaTz5LkXDz9nc99jLvUGvLjNortds255xH5t2LZP8d7I5/JcSJutGfUlgQc/6HNZvTok4xrGSoJHXnHYhySScX0Y5YAjJJd1RgxKg0kZ0tsUfr+NP6rBciARQTkENI2G5A//JMk9d1dZuSLiYJ8CBKtXRUilUJaF7/k47uzG48l6vliExYth82YoFI58HkUwWYJrroFCwZDJGPr7JelMrGzX3aXJZOCmm07st2QmjddoUJ2uIFSK/gGHtjZzjMT4wQnFS/ttFrVHpF1oTwb88HHF9oMWHXnNtRcFCAe8Vth4Y8iB7YJGQ9DeDe97d0Ax71EtV3hydwuPeq0k52uSjmFiUJGuZ5m/ocZfNiuMSUPSCag2JJvHEzQea1JdWSSy7VivO2MwjsHX8L3S++lMlSg3upgPOEnDsoTG92DLuEIDhUURC5eF/OdL62SSEIURfjNi74jioS0uQSS4YW3AxUtndvQsT3ejNRNDY7T3dAGG0tjkGf/25hl1m6mxCQrtLYDg0l++he8947N3QPKtl3fS9Ks46QBHrWOKFg5mNP/4vYiicrh89lJaFzxhZBAC1BsRb38uMBAcFwrYCI5cZ4XELOETF8J+zfGGIEUsxgGKRhjRDDVKCpRgLvRujmN5Az1I5XL5mI9d18V1Tyy4DlAsFgEolUqva9V///d/D8C73vWuWb9/4IEHeOCBBw6/tyyLT33qU/zZn/3ZMUIIQgj+1//6X9xzzz1s2LCBO++8k/b2dnbt2sW9997LnXfeyWc/+9lTbsvv/d7v8cd//MfcddddfOlLX8JxXl8+/flmzkB6w3l9g7OlBC2pBFt2QXvR0Nl2YhjOlpriG2MulUiyPBnxi51NMiqebCyZF/Hey30e3mSzpF3zzot87rzaI3cKyfjxkuDhZx0yKcPSXs3whGRPn0XvAU0YKtqLderVOolUgsVJi8VJTc2HRxyH8bpgfFTwxMtx7s68pRH+NkXYECTTmrYuTXtkUawbilOSkQkLhaFfSXQggAB0GbBAJ+jrd/k/n3f45K/5LFgQYQysWBEXei20tzLaP3TSgrGHev54Q0kIuPEG6O+Pc47a2mPjaGIcli6Byy+D1lbN7e8P+PGDNtUKXHFFyHXXnTzpXghQyqLhN/i3bxle3eHS2Wn41Y95tLcbDOCHEERHpNZbC7B6dcj711e5bIVFe0Hz9/cnyGUNaxbU2HgxbN1ns2Ztk0yyzuRohV2VBfTXXHxbsGtEEYSgDKzq8nilJ2KLcskBUaQpe4axhqBWcogCC9GMxfLiQH7AhbpM0ldJUixLhmqSjK3ZOW3YV1YEUdxvU1pwVXuDoFGlFsRxv7UmfP2JPEMliVKGkZJFW6bO/M4zHABnsV7FjCxVsaP1rK4aAxQ7Wo/57Pl+wd/9q834wRVoYWhfOcrlK5/i4W3vIOhxmCjCKxPnNt/nNWOgEZ5edfFMaQYabQwZx7qgQs3KXkjyqFyvnGvNGUFznDkz50rSVvihJog0oQDbzIXezfHT4fjQtD/4gz84af7P1VdfzcKFC/nc5z5HFEVE0dnfE/7v//2/3Hfffdxyyy28973vPea7VCrFH/zBH3DnnXeyZMkSms0mTz/9NP/pP/0nPve5z+E4Dn/8x398zG8+/OEP09bWxi/+4i/yhS984fDna9as4aMf/Si53OzlVqIo4td+7df4whe+wG/8xm/w13/917Oq0L3ZmDOQLhDCMGK6VOfggQwPPuLgB1DMa+64xefiVcdO1B+bciiHkoWJiK01ix11xaXZI8tcvz5g4/KAIBTkUobTnacNT9D0BT0dsSFy+bqQ8ZKkXBVcsT7k/Tcb3KRLo1rHTbo4CZe0A7et8PnOqw4PbXIIA7hiSch0WrCgTbN7v0Iq6FypefSAQxRBXmt6WwNGR8FrtxjZL+KyQKk0hA5EArTg299y+dk7Q9asPnHAKLQWmRqbnPEezHDc5Hu2W+OCBXDJVRbPvyioViLyac273gVXV/XEggABAABJREFUX3VEwe7KqyLWr4/wfUE+bxgek+zpk+SzmkXzjzVUm/UmtekK2iiGR1MIASPDgvFxQXt7XI+nK6+ZV9DsHFF05TVjZZvutohlbSWGRtv5u3+Fl/YYmtrQfY1CSZC2IpeRKMvilQNJHtjp0tVhuGG9z4+ft6lWFcI23PeAy2WrfNouicgbwZBMMWoF+EIROBKqEiOIFSo8CWUBtkAmItJNWJXXTArIehF7Ry2WpCK605qJpibjG0oTgkf2ZVjbFbCgTSCMTVMnWdxjSNqGPUOCUqVGMXl68YyjD4rWhkppmnxr8eTH6zRO2MOGsNYgBFoL/uHfCgztT0JGQBsMhwvwnATOpQFB3kVnJPssyU7P4erU+RecOBpjoOofew27SpI9k7pJZ5J3FEbk3QvEODpuf8577ag53hY4lsQhrq3nhZpGaHCVxDmfYitzXBgIzr8HaWZM6+vrO8aIOJn3CCCTyfC9732Pj3/84/zZn/1Z3IwQPP3009xxxx38zu/8zilzd77//e/zm7/5myxcuJAvfelLJ3zf0dFxjHGWzWa5/fbbufzyy1m3bh2f+9zn+PSnP33YkwWxaMSv//qv88lPfpLf+q3fYt68eezYsYP/8l/+Cx/84Af5y7/8Sz71qU+dsK6f+Zmf4bvf/e4pDcLTsWTJkrNaXgjBnj17XtO6DjFnIF0QGLQ27Nwj2LHbYcE8TSZlODAoufdhh4XzIor5I+EoCWkIjKASCaQwWLNMjNKJuN0zoSWnaS9q9g8qFsyLqDcEV24I+IXbPNavCInl9W0a1TpRGB3Ou9nYHdKd1eghwdCYpC1hsFvhtqua7Nyn6BuS7GkqpiqCSANK4E+FlIYMnQWNancZnrTQQsGUBEuQTsSGyMSEpLtbE4Tw3edcBiYk773UZ2lXAsuxmRgao9jZdsb1S374uMODzzqEkaCnN+JjH2rQ2XZs/wggnYJ02rB5h8U37ncolSXppOF9N/tce2lweIIXhSG265ApZLn5ZsMjjxoW9GoWLTpiSBXShruu9Pjuiy6TVUFnXvOe9Q3Cack3HnapTDdZ0GXx3HabxzfZzOuMWNqjuWq9JJAJHt5lYylDd4vmvsdsJqcUUQT4gtFBxTN/n+aGv2iwSQpKkcZzTXzFd7tQ16BlHGLnAkiwDMaXuGnD9UWfUkLy3F5FLRCM+pogiMi5gsvbDNt32XzhCYc1XRGXLAz44EUey+ZFvLTXQhtY1ROxuNtFoSlPTpMp5GI11VOEtxgTGzWBH5BvO/HG0Tcc57+tWBRx2dpTS2aHzSZbv/5dEvkc/YtvZ6SSgE4BeeI6vCFMu0VUykAF0mFE+/IyTw9UWWcFZDLuOUv0PBXaQLkZxN6RozjjMKDTLDbdCMm61oVTTPMC2cw5LkyUFCRthTEGL9I0guhwPbML5RKZ48Ill8ud1MsyG+vWrePpp59m586d/M//+T+5//77McbwJ3/yJ3zpS1/ixRdfnNVI+uEPf8iHPvQhOjs7+clPfsK84xWoTkFXVxfvfe97+ed//meee+65w6F5O3bs4Nd+7dd4//vfz//4H//j8PIXX3wx3/rWt1i1ahW/93u/x8c+9jEymWMfij722GMkk0luu+22M96O49m/f/8ZLSeEOCH3+7Uy9/jkDefs64r4fsTURJn2nI0BMqm4je4OzXRFMlU59kR4R9FnaTIkMHB9PmBN6szrr8xGOgU/8w6Png7N8LhCKcMHb/G5ePUh4ygmW8yjtaZeqRHNhAh1ZTW/cmuTNfPjWhVXrPbZN6AYnFC0tRo+cKXH+uWxIdXiGAo5TaEg6JwneM9VPhd1QwsSaSlEUpIpCi67NKKjIzY0hkqSZ3favLDH5vnd8VNyZSlautqZGp8k8Hz8pn+4UOvJeHW3RS5jWLc8ZGhMMl46yaUxI+bw4ycd6k3J2uURlgUPPW1Tq3Osp0oIpJRcd13If/zdJnff7ZNMwsCQ5JEnbbbvUizpiPjNd9b5ndvq/Pt311nbC03Ryvi4x9pVCdYs0WxYErFhYcDP3+zxy+9usBvFH21J8+ORHDtRvDCo2NcX5wfhxHaP9gXjw4onX7UY7FdUpi1M1WCpJrJXQFFC2sTGghRgxWoUSkhEzjCFZlVrk3bjQUUjmpJVWclNHZpcJBgqKbIJTXtW8+xem30Tip+7tsn7r/C5fm3AOy/xyKTATSZJpJNMjU9SLk3jN30C/9gEe2MMftPHb3pUStO0zpv9qdjzWy3uf9zlgSeduMDuLBw6xsYYTKTRWvP4DhvlAE2gBEzFC+qmJDA2rqO5flFAsRjntB3sG2diokJ0tipyrwmDNrFBdPTfuUIbEw/yc5O/OeYAYkNISkHSigvMVryQRhCdkfz9HHP8NFixYgVXXHEFN9xwA9u3b+ezn/0sAwMD/Omf/ukJy95///3ccccdtLW18dBDD5215wWgrS0WRqrX64c/+9GPfkQQBNx8880nLJ9IJLjmmmuo1Wps3779hO8ffPBBkskk73rXu3j66afPensA9u3bd9K/LVu28O1vf5v3ve99WJbFX//1X7N3797XtJ6jmfMgveGc/UxFKYm0HQYmAox28QNwbJiclqSShnTy2IG9N6H55LwGHoK0NKd8MnamkhFLeiM++eH6YY9JPnvizUQISOcyNOtNGrU6bsLFdh2WdEf81s/U8QKB78Nf7bRIJw1+KLjtkoBbLwr47/83zcSEoLPFYtniiFCAUzF05w25lTA2GZHv0Lz7Jp+PfMinszOevLbnNMu6Q7JJycqe2CgzBuqVKm7CpTQ2AUAmf2qllM6iYc+BJGMThtZCQFJVqZVnj/nVGsrTFkqA14xQQlKrSqZL9Vh9D/A9H6MNXtPDTbgcykUsVwRf/kaCLbsUkRB86IMeH7jBo5A+0p+FrCGdthmZkCRdg6UM16wPuGaNz0ODId8ad/BrIdrYHPAUz0/a1CJJCKCJFTC0ACmYTtvIkoADkmDcRvX4OIU6vpVCawUqwngS4QOewHU0lq1BBewfgPGSi/IFqizpDw15bajUIdKCBS2atGsIQoEfCYamFS/1W4yUJVtHLN651uf6lQGO69DS0UoYhDRqdQQCv+kBsHWnw1MvOVx7cYXVK91jQyNnOHSOrl4csXdVyPplIScrcXBIEdhOJtlw988Sasnmv7FQkYBgZgFvZqEhSTYBN14ZsLxHkpAZrrZrOOMOI6Nlml5Ie1sW1z0/uUnGcLhQ6RxzzPEGI47UNAujOPQuFjIRc6F3byfepDLfJ0MIwac+9Sl+//d/n1dfffWY7w4ZRy0tLTz00EMsW7bsNa3jUI2hRYsWHf7M92O12rGxsVl/c+jz2cIGL7nkEh588EFuvfVW3v3ud/PDH/6Qq6666qy2aeHChaf8fs2aNXzgAx/gv//3/85v//Zvs3HjxtP+5nTMGUgXAEpJWlrSrF/rMT7ps+ugi8Dg2HDb9R4drYaGhv5QIYFeO8JRYJ+Bt+pszLVkApKJkz9VL3tgS0imEoS+RbPRoFaOC5y5qQSZdAqS8O6rA57ZYrG8N6KY1Xz5OwmGBiWVmsD3BAOjFj3zIlo1XLQ+ZP58zauvKn7pniaXXRZSqgsGyxJCw55Bi8WtEdev8lnVqzEGpscnD9cfKrQVT7q9WsPWYZuJmmLt+ojWYpNKTbB+RUDPPMFsl0cYQmgEl60Puf+xBLsO2EQRXLOxSUtRIkQ8EgZOk8FwN9RgQbCKbLYAQKUqGByVDEwrxiYkPAatbZob1x9xiSxbYHj/TYbHXjRMVwVXrAu4ap3PxPgUz9c6SFjgZSXlpE1UF5AGUQSGzeE8LVIgV4dEFYV81UY0wPds5LiEvCS9ZJqABGHTwVJNrEyIsmwyjsJyBSXbZWzSInIFF/WGTI1IXhqw2DuhSNuGYiZi34jkye02xZShb1yye0wxWpEs7YgYq0h+tNVheVdEVz4+ZyzbIlvIobUm8HyiMGLn7pCDAzkuWttCOjf72Xjo01VLIlYtqZ/WCXtY7tmyGJuUNOuCrG0Is+BpASFQg0wW1jQiWkcMa5aEXNEWsj6boda6kMG9A0xP1/G9gM7OAun0yWPFXyvGGJqBpvh6isGe6zrWP22O2p+so6h4IVlnTpxhjvOLpQRSSEIde3QbQUTSnst/m+Onx5YtW8jn8ycIOwA88sgjAMdIbR8yjorFIg899BDLly8/ZfvPPvssl1xyyQkFVT/3uc/xxBNPsGbNGi666KLDn1977bVALPzwiU984hgp8J/85Cc89NBDdHZ2smbNmlnXd/HFF/OTn/yEW2+9lXe9613cf//9XHPNNafphbPn05/+NH/xF3/BZz7zmWNqRb0W5gykCwQpBS0tLu+6JWLbjgoremy6WjQrF0ds8RQ/qLoMh3HF+F4r4oNZj0X2+QkRmgwEW6oWpUDQ6hjq2vDlbUlePGDhGsMdy3z+02V1UtkMtXKFRrVOEAREYUQ6l+HqDQFXb4gNgkeftdlzUHHzlT4vbbeZqghKZcHCebByecjjjzuMTwiWL9MsWhTxyF6bh/bYTNcl+wckuQBylqYtp/nILR7LuiN8zyfXWjxtqNILByz+9eUEdR9aM4aPXt1gcVtcx2i2S2O6KvjK/QkmyoL3XO1z9x0hw2OS1qLhsvWGhJs4PMHr41UmGUCkBblmEaYkmVyWXCbej2d2WaxdFVBoMQxOxkZVhKZCFUfY3HIFbFwdEobQMpNfNjoRUBc2E0JxUCla58PIPkFDgH1piBoI8IYdjK2h1yCvDDH9Cm9c4toaIQ0GCzUU0ionWfnOVxmsLKAcFMAX4CdxnBZWZDQ3J32enBfgOnCJC49MJsm6grVdEdI2TFYFEzVJd1HTW4z48VYHXwsWtEbYCjpzml0jimpzJu/nqImvlBI3mcAYeP9thosvDli++CxmwGexqGMZFrdHHMwp8mgGygqvKki4hvdf5HHVspC9w4rr7YAV2dhjmM6maZ3XijGaZq1JX/84nR0FCvnUKXOofiq8yTbndXNU3RtHSSwpmGoG5BM24ujv55jjHCOlwJECY8CPNFONAEvKuPDw3Hn31uVN6kF6/vnn+cQnPsH73vc+rrvuOnbs2MH27dv5xCc+wT/90z+RTCb5rd/6LQC2b9/OHXfcged53HTTTXz1q189ob1Fixbx0Y9+9PD7T3/602zfvp0bb7yR3t5eGo0GTz31FC+99BLFYpF//ud/PiaP56qrruLuu+/mS1/6EmvWrOHOO++kq6uLHTt2cO+99wLwV3/1Vyh18gcLF1100WEj6T3vec95MZKklCxevPg1h/IdzZyB9Ibz2h/5CiHI5RSXbUwxNVmlox3GIsU3Ky41LVnqRGhgr6/4RiXBbxTqpM7xhT/oSb48nOBgQ2JJ2Ocp9kxKBrYoglostrBn2GK8IviTm2pk8jky+Tgp0Ws0qU5XsBMullJYdvyE37Gho8Vw3SU+0xXBdFUwOiTZssvCOFDsNHz4ww0mjeQHO1xSlsGEsL+kWNYaccX8iF39iud3WizviWjv6WK0f4hieyu26xy+uR3f8/0liRfChvkRmwcUQ9NqxkCanYPDim37FU1f8Opei196f/PEhcSh/9RMuIbCTaSwjcv3vhfw4it5jBBcuTEgTAvyGcOq+REawzZ2MyhGcbBZEaxiy2g7OyYU+YThpgUeSaGxFbwybpHQ0MwJ6u0wPS2xkuCsBbUswtgaXTToQBBtdbCSGj+SCKURkUDaoI1NLl2mJ/ssO6YvBZWBRoIo0qQizVShQjFjGBtVPDKtmOyQXJG3SSRh75RiuCKgJrh6mUdvXrOlX5FyNINTEoFmrCppy2haM/qYfjmmqwQU8oJC/szkS8/kyjl+mfac4YNXeQwNS/YdUFzUGRK0QPc8zY1rQhoeSHlcgvZMjsKClQuZHp9mfGicwaESnhfQ2prFnnuy/MYg4qKvhYTNRCOgNfkmkWGf4y2NELGKpKtij1LNj3AtiRBgvdkekMzxluUDH/gA9Xqd73znO/zVX/0VQ0NDRFHEwMAA73vf+/jMZz7DunXrABgeHsbz4rD1r33ta7O2d+ONNx5jIN1999184xvf4Mknn2R8fByIw9j+/b//9/zu7/7urMVi//Ef/5Hrr7+ef/zHf+Rb3/oW9Xqd1tZWPvCBD/C7v/u7h71Mp2LDhg3HhNvdd999XHfddWfbPSclDEN2795NGL6+3HuYM5BOwvmMW3m97QqUEhRaMjy7fYrMWpexSLLOiQ5P8pY7ETt9xZ7AYr177Ely/J6d8Z7OLPhoyWZfxbDSrdFAsi1MMlpRNCQkRYQwgqYPP95v8dTugMu7vcNNTIkmm60Rpvw6BZPkEqeX9pY2/CCuO5ROQjppqFQltapgaY9myaKAgUFFpS74yR6H3bsl160LqCuFhWGwITlYjT1nkT6yJ+lshtLYBJl8llQ2Q71SPfxdKptBCOguxAbHpn5FS9rQlTu1x623M2LlwojJsmDdslNffPNZQcKkqE4l2LtvIYMDFg/82KKQ9QkCRSZl8Z53efR0Rizu1DTwGBUTODhUqfG9/RFb9zhkHcPukmCkKrizSyIwjE9LwiYoD4JQoAyIpqYhIcobsCV62JoRJJCESY3MaiQC29HYCR+n1cO4Dq1mkDW5Heyp3UTSc5nv+Ox1PA5Gmg2uxOo07Mr7RKmQwvYsA2NJlA3FFkPFh5cGFJunLUa14PKekGxoaNShkNWsXRTSX5WU6gZbwot9ike2OSRcuGNjk8sXRWd1NZzJsodykASxQty9ow6iA/7816ts2W2hjEEjeHqXzZb9CoTg0mU+CzuOGGnNegPLsbEsm84FXbipBI1KncpUBW+oRDrlkko6pM5D2N0JnIOhqDmTW3E0riUvKGW7pCVphBFJS815keY4/8ycY5YSJIXEm8ktjaTAnctPOj0XUujvm9SD1NLSwic/+Uk++clPAvDFL36Rhx9+mC9+8YsnLHvTTTdhzNmJjHz84x/n4x//+Fn9RkrJJz7xCT7xiU+c0fIPP/zwrJ9v2LDhpLlMr4dSqcTv/M7vMDU1xfXXX/+625szkGblzX9lSynIF9O80hchCsc+AVfE45N/WNKLozwbx3LGeyog0LB1MqTdltiWYjxUeELiYiApCKYlYSRQyqCVZFfF5Wo7nng2CHjZHmNCeKRNglHh80I4wKoeweL5Xby6W5HPGmoNQco1LOkJ2bNbMdkimd8d8fxOm0dfsNkzqrACQ8tCGDUSb0pQ9wTL0hH3LIqNFiEgnc9Sq1SxXHlMThLA9ESJfGuBSxeEWLLJRE3SW4xY0n5qT0Yha/h3dzbwAkE2derByCWJGl3J97+dYH+/ZKok2LlTcePlEbmMRzOwWNYZ0dUV33gdbDKkGWMSG4uDY3nyrmF+ThNp2Dah2JJM8FjDIVE1NEtQbwiMNoQ1gdECESl0TUBSgithHnF+UtmQzNTJ9k5TaJ0k55TJLq6zHJtMvYOCmqQmRii1dbBbOozZAQUleARN2akinBrJtGbYTrD/6V72VwpYxiCFYKRkY2rQntQcnFZkWwzpnGayLnlxj83Ew+D7gvKUYN9uhZqCVLvhm9sc3n+Zz61LA25e5JM4hyPRoXM6NDDkxXem1UnYX1dM1gWL2yJ+9gaP6UocardhcYhzlHOiUWuQyqSwnHijCm2F+K/WZOTAECOj0ziORXtblkLhFBWWz+XOvEYyruL4+2YtiLClRF5AjrCUExf7rPhv8pykC2liOMcZoaQg5ajDoXcVL0QKQfqnWaPrzX6evZm3bY4LkltuueWk3xljGBsbY+/evTSbTWzb5jOf+czrXuecgXSBIoQglXJo92B4TDO/S5CVBiVhLBLkpKHHOnl4E4DWZ5ejJAy4WlNTKSxHkBACW0myaWiUNCoJkYaWvMZ1YEIneKUqWVOIqNs+0yJgPgUkggKaUauG1RJwx00jvLq/hX39Fi0FjWkanu23aJY1LQs1N1wT8INnXYqOZnEn7B2x2GvBvIKhNxXiKHAShkzh2Jlga1c7pbEJWjrakOpIHHl5chqtDVIKLllwdm5YxwbHPrMnNY8+Y7NlryLdbvAETCP59mNpLlqmuOnyMu3tR26wCsV6s4IxSjjY7HPT7KwKtIGKL3Ck4ScHMjy/x6I+LNBNQRQYQiPim2VTglawhPiqFkAGnKUe7d2D5K1pQiFJZOsUnXGyeZ8pKainHJLaY0KVmTZZROiRlRbTCupM0UadBBaeFEzVUgxMJalNSswIaCmgAJYAo6HaJ7E9Q90I8o7BHxWUp8EPBLWawHSCKhqiSNKchG0jCh9BM4Q7V/lndRzO6FhJ+PA8Dz+Erzye5MCEpD2reWavQzbhccclx67zUJHaVCaFkzjRO5RMJ+hdsQC3b4SxwTGGhqfwvJD29tyRfLezmLhIIcglLKYaAYXzFD5mqxMfXTaCN0K+/NzjWOchJ+lcTzTnJoZvWQ6F3tlSzNQvi2uMHfrujd2Yc9zem93gOo8YEf+d73XM8fo4mTfqeK644gr+5E/+hBtvvPF1r3POQLqgESx2DFcIiyeHIzCC9gLkXME7Uz5d1qknQmMDI3GOzlms8bJ0kh80Mwx7gozSSGOQCcmKQoSxBLZtGPUEGtjRUAzuTbA6H/HuZRWkLYjQSBQhGoUgmUiQ67bIp4d49/V5bMfm7//BwVKGxQsNTU/wgwdddh1UjFUky1aFbLw8ZFtksaYjpCMTGytbRxUV79g9mRgew3GdY4wjgLbuTsYGhmjr7jrrYmLbxxUVX7C2PSR1yBABmjM1WA8V5a024d+ec9kxokg0oSWl6VgeMTyqGF1hsaPbYc94wIrOeAKrtcEKFb32PISAdy4OmGxIto4phscUA3vg+bF2wkjGctW1mZVZgE9cy2gZ0AYkiQ0Xx2f+4v0k8zUSqk46WUPbgpIoUIs0YRDRZtXwRIOWSKF9B18rKhH4pobt1CjhkhcSv5Jkx8s9TJcTRIEAZ2Y9QBjAlJGUU2BK4ChDCFQnBTICGYAIwEiIcgITgFMRtKcMnSnNplGLdy4JyDjHGp7GvP6JR94ylHzBRE3QXdTkk4aarxmcUmgNm3ZZTE4L2gs+C1qnSWXTWLY9+3pNXGOra1E3birByMFhxicqeH5AZ0cB1z1Lz4Y4Egr4RqKkIDIGZcS5Fz44zxMtKeOcpLIXkrQVthSvb31vh4nL23jye86ZyYuTBjIzKosCSNoKS13AnXwBb/rbhY9+9KPH5BC93XjooYdO+p0QgnQ6zZIlSygWi+dsnXMG0qxcOHcUJQQ325oFeUV/BM2Kz0Y8rnYr1MrgyVECUcYyGRK664TfF9tbZjUSBqYlg2VJa8qwpDU63CXv0KBKIU+XLUYDxSXpkBVpzXQKBkYkzYagK6HpShqumhcSGtg2LVlQUVRbYDejZLDIYrGaNlpEEmNpLFtRKZVp6Wxl/bqIvXslfgAD4xZpD67dGLB1p8XytohfeneTv30uSSMURNowWpekbUNLMjYID9VBSmczpPPZEya7r2XSPTAieaXP4v6DDiYluHWxxx0rYw/Ei5HgR4EiLwx32RHetOQ//FuGH+x2aAwJSIOloc3V5BYZzArJk40Mjadr/P6Nmp5sSLNWx2hDYAWkMikWFyLetdjjiz9J8MIPJfv7rNg7pIAysYHiAFF8XIiA4sz3OaBuKOQmEE5I07hoBPWxNMlEAzfTJMoKRkSKqcimTQUkVZppP82Yl6AWGjrbJhCWoSYEJhJM7G1jYjyJ1gLqQII4rjoAPNBWrC5ODrQrqHmxpLYtIGtrtBXnphkdL5tv06yZFxIc8oDNwvHHyQ/BOYMR6+irVwjIJQzdec22YUU1ZSg3BNcujXj8JZvvPOJSr4UklOCX7shzSespTg5xpM2WzhachMPIwWEqU1XCYIL29hzZbPL0G3hMk4KEJWkGmsRs9ZDOw1CUcRXTzRAlxLmf1J3vYXOmP3IJi7ofEWrm8pJOx1zfnHvEEQ+wmZEFD/TM9TxX1+xCmkLFhdXP8yE73+2/HTgXHqGzZc5AmpUL5MqewRKwUmlWKjC24uDBJvX5FZyOKhPqKUJRRxmX1ugKMnrp4d/FNYJO3Nfd44qvvOwyXpNkXMOH1nlcOj8ORbMkvLPV5+p8QDkSFCyNFLCraVFdIshLzXNDNptLVqziBtSzJV5KjNFKggxQw8chwQLTikKCLckW8niNJpWpMpdfnqOnR7Njj+L//asEzWGIDLQXDCkHOrKG21f5/MvzNptKkrYWePdyn0XFY+sgOYnErMaQMZBraaE8OUW+pXBa6eYfP2nz1e8nGJySjEtJ9ypNtefIbx4NJBMGBrVkqzB88TspvjXloq8CXgTG4nyYYSmpJg2rZISVgINegu+8NM0vbaiQTKewojJ+ZZLH+rr5zr5OfrTJYefjCn+/gFbizgyJjaHoqNcHgas4Elo3Bk7UpGP5ME0cgqYiKGVIZptUSnkq4zlUJiTfW8ZzBYO6jQaKPmNR1zbZzCRKeRCC0AKv7jA5mCKpIoKaPVOMlvh/a2YbfOICrD4kM4awbsAIIhUvWyxopqsCX4KbgKW9mmogmfIENy080Xt0PM/tsfjxJocb1gRcuzI45bLHH01LwYcubXLfZpfRimTjgoCbV/n8w7eSmLDJuqWGbfuSHBgKuWTNsW2XG4JXBywStmF9b8jREWuZfAZ72QKa9QbVqQpDwyVKUzWSSYf2ttwpt/Hwtor46XOpEcw+sbqwhqLzz1H9kXJUnBPih2Qc680hxXwBTQzneI0cd4yFgJQdn4tAXLvLPc9Tqzf7efZm3rY55jhD5gyktxhCQE9PgZeHDet7dqNFSF4uocEQTbufVrP2tG28OqIYqynWd4XsHlc8P2AdNpAOkbEMGevIpHZ9KmSSKtM0WVDMs2kqwyvTNZrSh95hWm3BIrJAFoOhjwavigo9JoVAIJVE2Ra1ep2qDnG6BW1lRTpjmBqU7NqraL045NKL4wnswrZXWde+A18brlu7mpWF5RgDxmh8z6fQ3jLrvu0flNz7qEukU1y1rM7lBY0UJ69zcaBf8rkvpBiflKSTcY6XNWy4pHikPxZIQ18kKErDgWnDt/NgWgLYo2CBhBbiG1oBqpbg5YOK7nkRS7Ka7ZOKxysBK5JD9G7+JgcOTvD90XfzlbE7KB8U+BMCssRtSGLvzSFhwBZgP3FYXRGYBowm50zT1j5GvlGmV05jC5+pliIHJhaAVji2h562KLuS1LwK2hIY4xH4CiWbLLd2UAwmMY5kMmhhdLSNZlNSyPpUhyy0C4fvgBqwZ/4MiAZ02JqKI4gsEMbQCCQaQzZnmNcS0Z0xpF1DIWG4an7ALYtOn3/UPyE5MK7oG49g5WkXP4GOnOGXrz0iy661IanKNPw8o9MglKSQP/Yc1xq+/ozLywcsHAvuuNTj+lXHGlBu0sFNOmQLWRKpBIN7B6hWm3jNgO7ultPW4jqEEOcmpPDtxqFaSWUvJOuoWJnvbPpwLgdpjrNltmMs4hw5TBzCOtUIAEE+cZ4M97kcpHOGkfHf+V7HHBcecwbSWw6BZUm6elrZut9G5AJ6shVUwkOZxBm1kHTiydpEXdAIIHuap/sAk1R5SuylRpNUa5PLBeydSuMnQ7yWCilbUtOLqBmbqogY0oL9wiepNdcqhRSAY/NUi8OmxjjZTIqLlwZ85A7Fcy9brFkWcfXGgLWrIpoMUbafor1dYgAn/wQNk0F5rdTKFdp7TgwlPMSDzzns6rOQwiBEN0u699E2rwMxSzI7wJadFiMTkiXzIywFw6OSXGQ4sE3x8HccADZeFfDRiyP6RcSXAkOzA2SfQUdgChEk1JEbUCKikqghihW65xk27UvxY6HYzzgLpUSPK5z6QYJqRDQqY5ddeiasTRP/HwAFjsgVdgADQNOQcao4jk+tkqavuRCr5LNiwXZWLNyBjDT7JpcQRDaO5eNVHGhPI1WIjU9kNJdaz3O59RwNneCAtwhXexA18LWg0hBkCz4138YPRLw9CrBBOHH4XEIYLmkLsIrwTM1muCyxXUOLo2kEsXhDT0bzwdUet51GmOFog+GmNQFdBcPyrrMT1ZjN6Ag8n1qlxu235FFuxMCo4ubLA65cd6zx0wxgoCRpzRgma5KhqdnPEQNIJWnpasNNJhjY0890uYHvj9Ld3UIicWoBBgEUEjalRkBL6g2u9XOuJ0Y/hYmWFIK8a1HxQ1xL4kh55tvwdpgUvo0nv284AhRxnhxwOFcOwH4z5yi9iTdtjrcfp1KsO1OEEDz44IOvq405A2lWLvQ7Srztbakr8O0mI5VBco15LMxvwBz3gHW2Pb2yN2BgWrK/JFnVEXHrsuC0XTJFgxpNusgyIl5hfqviitZFDCJ5HJuBaIr94R6GdBtGRTgC0iLBN4NuQiO52db0i5AtKqJFWTSbPs8Lnw+/I+QjH8wcs66QKkY2uXj5AgDqHKBaHUFPQmfvvFP2jGMZIh3XwnHOYC5aSGtSTlx7KJvUlOsCC3joQRtBnOQ+OCT5xXyDg8sDGtohqllEkzNPE5MQhQZCAUqjLA1KU6srhgoj1HIaN7RJqBzPuUtJlLN8Y8vtTL2iiCZF3OkpYkGEdmLvUQSkifOA2og9RwBKU68lqflp6DO4/R6JJQ12+ytRjmZh+wEm6m1MNwtoozACtJFIE9eRKqgSK62dlKIiB+uLGGjMJ9c+QbF9nNKBNuqjGRIJaMkGeA1FUhhKoUVErLLnG0E6DR15w+pcxNioYGTKJa0iWlOapi9jAykXcVF3eNqr7GjDppgxXL3i1KF1hzg+B6leqR1TI8JoQ66YRyrJPbd7GB0Xiz2elAsXLwh5cpdDayZi7fzZjbOj15UpZFi4ahEjB4eZGp+ir2+c9vY8hUJq1t8ebsBAwpI0Ak3y6FC78z0Uneu236AcpNnWm3UtSvUAKyEunBpPbwRzXfHGclR/51yLehCXjwg1h42ltzwX0BQqzkE6vxs7l4N0dpypYt2pOFsBrtmYM5Bm5QK5sk+D1Dnc2m04skpjyublIY8rVnFs/PQsv8slDL+0sUnVF6Rsg3UGY3qBFBkSDNFHkiZ5liCQtAKNQLFHJ0jJSaphKx4JUnYTQY2aPcQT4SJWWg22iyn6ZYCfADu0sHERQlCenCLXUji8LqUzBE3DtNgff2AErirgtp1eveTdV/tICVEkuOVyP/bGnIJL1oe87waP+x53Ga0rVi0NufkSn2eecFi7Np4wb92q2DsiKC2HxSmBlDOTcTPzj4oNpEOfR1oxVnfoDwWOE9GUPv2e5Pnxm3n4oR4am22o6tj9YQtoEofXOcRhdR7gAlWObL8EKgpdVtCI3zenJVFooYRmsNhNV8cwrYkJppsFEAaRBgRYhAg0GVElJRscDHrxtUOYUlRMjrxTprXFI+rPoohwMyFJ5TBVj5Pjs8pgC4NvQNiGwaakOSGYrEpco/Gqggmt6M5HXNwVcdd6j+7jivIaA1t2W+zukyRduHxtQGvh9J7L2Tj6nJ4eL+GmkggB0xNTZIt5EpnE4bwzAYhT3Lzef4nPxQtDErahI39m25NIJ+heOp9EOsHwgWGGR0o0mz5dXYWTb/NReQzH5DC8NYaic8dp+iPjKupBRMqxOM9znrcmF9DE9nXxRu2niHPlOKqGEvDmruV1Lngr79sc551TKda9kcwZSOec1zvyntuRW6AQOk86BVGU4EcvTPGuS53TxkVLGRtKZ0oLaa4ySxlBURFDpEkdtg2m62CSIXWSSKVxVIAX2Uxoh9AqUaaFh0U/vmiSJ8kBIRG2xyUEZEhRn2jwdNPwY5Fhr1AsES38QuFdtDsvYjDYZNkRvsJ2by/9o5exSLRxYzakO3GizHlHi+EXb/MOv4+iDqbGJ8m3FhFSIIQ8pm9SKfgPH2/wvlt9Gp5g7YqQvXssXnjGMDYWL2gpaM/GTh4rHZDLhUykJKYq0RqI4nA0owWWrRGJAJFt0N8QZKopbl8q6BvM8nf/1EXjWTsWPLBkHL7WJD4lEsABYoW6JLGRpIBuYuOoMfP+kHhCFfAlgbHx2h2mx4qUp3Nk7CqOE6DyBpELwdLYwkeaOAfMw8GOQnxstC0QPtjYFNodSkVBbdhC1wWtAnKpEBmCCBQ2oI3Bsg3jJcHBQUV7WnPD5U0GxhSNQPDRqxrcttpntvzlV3ZafO3+BE0Pwgh2HVD8yh1NMqcpyHsqtNb4vk8QBLR0tiGEwEk4pxXlOBopYUHb7HL5h8L3jg/jM8agoxAn6bDmyrU0qg0O7tjPdLmO41gs7G1DzhbSKeK6RVX/1AWL5zg5tpIoKal6IWlHoc42J+lMeCsbEW/V/TqeN3o/xUy+3EyYXakRvOXyDY8vSH2hoKVEzxZCcI7XMceZ89NQrJuNOQPpnPN6R73zN2oqJUFaTJQ1rTl5zgfoFtJkzCL2iF14lEG4VE2AjpJ06WEmohYaURJjCzzfxRYRkgYHo5AaZdpJcC2GKhaaiJASu4XFHpHmr6w2disLT2geMkkeryf532oRq6wBHg9+xMu+wMhBphI1/rb8MzxVcfn1dp812VNMNk3cJ8WONsYHR9Ba0zavA3WcyyyRgPWrj7SzZk3Irbf4PPusxbiB+Td7mDUha7TkFTcgOa+MU83iN11MWUEgQIJRIKwQJ+WTWzhJYzzB1FSC0CiS43mGnnRjQYYuYkNIAHUD/cCYiK/WMWApkCf2KImZ2VoCyBCH4x0ai6tAWdIcSxB4NiYJMqXJZgwyLcDR2KqOo0ISJkWqYJhutNOr9hNZgrqVxmlKJuuLaUQZlqxr0A9Uxh1kPmRxwWOylKTsJfCNIJszdCQ1i4MIK6/ZOD9EClhR0GwZtGhJmlmNI4i9R0EIa5ZGhBHsPKDoH5GsWvzajYXxwZHXVOvqTDnUrJgJkTt06XoNj0ppikQqhe3YWEWbZRetpG/HfurVBrv3jNA7v5Vkyjk3G/JWmbCfo/2QIg5tqvohjpLY6hyPdW+Fvp7jjUeARICJn2G1niY38ULDGMPgT3sj5pjjHDJnIM3KW2XGcSJdXTm29Nfpzgcs74lDpI7f00BDXyM2EnqTEbbkjLvEEWlazQr2iCeZpkQoJcvSgmGdZLLRRi3KYisfIyQJVcUXFhO+4sdOkqudIRwsCmTopIUqLrvFNN+32hiWGqM8skLjG4s9keILTY/fS1bYEXqMBUvosaosVFPsSlbZaQp8f8xhSapB4rgQQS+CAzVFV1KTs00c3pRJY4yhWW+QzKSQRz3xGcWjTISsORwYTHKwpEh1Gxbc7VEvRpQKhm8JWGUUoajS3j2IbnYxHbXQOJjA1CUCsJyAVKqOlWky0deKowKWrHmZ+8qGzMEWdLIY5xmliSW8DbFAw1IgMNCcMZKWAwkNBxswWoeaDwvTsKAQG1ZNYuMoBBoQlmyCKZtUskk900pS+6TtkG7Lp02CaCQYd7MMK4VIX0SEy0YGSJk+tFjI/nqGxWmfDkeTvdqnb1uAP+xQHXYRIzbz0ppc0dCR0/QflOyoWSxsiw6HOOmZUEPnuONw9Cnl2IYgjJdtegJLcdLQzloTnt9tM1UTtGYNly0LSBxlaxigXq6SymQQ4tTKcOfsSj+uEdtxyBZjqW8hIJF0WbR2CcMHhpkcnuBA3xgd7XlaWjInNBPnIkVxvsKZbOBbZag6k/040wMmIONaNANNM4xwLTmXlzTHm4+30ilpjnt9geybkQJznuNxz3f7c5wf5gykWXlrn8zFYopt+ydY1qM43vE76gm+MZhgb01hgEXJiA/1eMybJVztaHZOKDaNWpjIYFXXMN27BzutaU1BTsHLjYWMRp2kVQ2jDRnHQ6AZ91vRNcVAwmWPk2YtPuNMIZEUyTHEFCrzAhtURIkMA8FSPJMFYbM3UjzvuYxZLu3pXUijKTeXYUcpHFdzoGpxsKFYkTnWC3HfgMOjYw7LsxH/blkjForLxxPV8cER3FTycNL+fho8LCYZaEb0DafQ29JUp232lSQTGz3mRYK70iGWbXhZwCB1uqwRVi7eyUv1SxnV7UQVG0WEUgHS0hhPobIhyeVVTBb6Kz5LO56gY0EHo6NdcbhcdWZjHWIJ73kC9hHXQ+oAMLBIQUsKSg6MepCux+8zxFe2CxiDBAoeXJZL0u9kGRJ1kkKwFof1RtAlPR70Bhl28xRlgQwbaGcNw8JnTOXjyaYTMokh51p88GJJ36jkoga8/LIBqblqcchjW23GJxUdqYiRScnmAUVHzjBekfTkI1Z0HCtycPRVdvWGgH0Dilf3WNjKcPm6gEXdJ3qPmj589bEEL++zsC2IItg3KvnwdR72zGg2PV4ikUriJmevg3WybTivCLAdm0J3D9JJM37wIMMjUzQaPj09Lccsl7QVk40gNpDe2kPR2XOW/ZGwJUFkqPux+IWam6icmgtoYvu6eLvs50+Lub6d4zxRq9W49957eeWVV5icnCQIZk8kF0LwhS984XWta85AOue8uXKQToaUggdfCrhhvYVjicO5FPePOLxaViyfMSp21hQ/GHb42MLmSSebe0uKL29JUKoLdr6qqI5aXPeBdsqiE20yXLRynLSd48DUClqTIySjGp6VZMrLM1UpIpsCvxixF0mrHqZdTDImFCEtNGWKvG0zGSXptkZwhGZz8yKkEbSzhymeYzrKkbCrNFVE02lQDSbwwgQj2mbaGI4+zf0INo1b7Ckp2hw94904QktnO1Njk+TailiWoo8GFRMxcTDLuGigZZNX+9JUQwg9KA/Z/EQLblvhU8WnSoSFQ9L2aV09RqqnTHUki1dOgBZYiYBURxW7xaNqckTGopaMEEWPi1a+zAND74k3JEcswFAjzklKzuxGfub/AMgqaLPAuDDuQnlmZw55XgSQhkRLwPwsfFhfxcMyYhNNBBqXEYwo0+f62M0qGeHQwXyy9OIj6UWxRlh8U0I9EhSVZAGKViNpZCwyoxHObtiuFaPjkgaCjozm4nkhjUCwvD2k7EkuXeBz0/IAR8R1qHo69GFj5hC9XZpfvaNB34jCtQ0rFkZYs4xOOwctthy0WNkT4dpQ9+CVfTZXrQhZ2hVQGpmg0N6CVCevbXWuOFkO0qHvggDsmSgareGBpx2e3WIhRIZr1+VpN1uZmq7TaPosXtQBzITBznFOsZVASUXND0lYClu+zrykt/Lk+q26X8fzVt7Pt/L5Ocfbmq997Wv8xm/8BuVy+fBnhxRqjw6lN8bMGUhvTt68OUhHs2BBrPj2w+cned+VLkpAJRTsrSt6kvpwWFpPUnOgoZgKBMVZ6iFpDY8dsHl52IIIdhxUVI2F07+Q7mW7IWrwzISiXOylkEoxXl5Fo1THcetEkY0furiijg4lVVw208piPDqYpEmDpJAsUQsZN4ZykCWrpnFMgxYCPqgeZ8iZRgU5RnSeQFtkrQkKzmZK5Y1Ip04pWcKwZEaQGx446DBQUjiBoWD0CWFfccFaRegHKCnJSYtyUzAkPSLPYnTcQSiYlzSUpxST80I21wXzI+ixmuzGp0KWcd2KEBFutolKRwhLY3S8FQKNNhIRxXLjRkKYSLJk5R7YROwhUsQhcqPEBpI/83mWOCcJEXuIWoCEgG4H2kTsedLEIg4WpFo0l2wIWZ8vYOs6dabomElmqjOIRZEieUSUZJuuM6AO4mJjaGElCa7WLo1I8GqYpMs2SCHYEQiWWBG7H5ZYdcNV7QHjY4rLbvIZr0uUhNs2eFy/MmDPiMJWkLMNX/hOgoExxaWrAn7+XR7H01Y0tBVPXefID2Pjw50xPBJOLOpQqwVMj5do6Wo/pWG0fdJi97TNqpaIlS2vTwzhZDlIfaM23/lxCzXfZc1SeN8NHvsGFQ887ZBLG7wAfvx8jo/fuR49uQdjDNt3DCKlYOGCNpJJ9+w25K0yITqP+yFFrBxWCyK0ETivJy/prdDXc7x1eROcn0FkZn39ZkQj0SfE0pz7dczx+njqqae45557SCaT/Nf/+l/5l3/5F3bv3s3nP/95+vr6eOWVV7j33ntxXZff//3fp7u7+3Wvc85AmpW3yozjVMT7l8sl2TMYsKxb4UiDI6ERHZrxgRfFNW5cMfsg96PdDj/c7bBzSlKqSypTElLw3LNraN1TJJFuUOlJU1vTRqrNx3NDwlAiQhcM2HYTVzViYYEI/MDhFb2aec4wRSboVMMItY+1wqFqJRgNu7jJKvNr+j5st8Yrto1jGow321AqoikdVLNOpuFwWdc4xq4RGY0141bpq0iytqHoGupBPGj1VyVPDtsEGja2h6xuLTI+NIplt7BGZthdl2ybgGAgS6Jho1VI3RhygxZTUxLTE3IdsAaP53WDUZlkMOok1BaubGIig8KgBQgMEo2nHYQ0iMCQECHthWHG2+bHqnTVme53iXOSRok9ScuI85M8Ynk1LaFkoEXHV3JWHPEeLQS3YViyFC5qVfRkNRkXLjEJHqRGU0zQi0uWuD5PWzrDqrJmJKNRcpp1ehGmP8XnH08y0RRkF4FaDkIYbsyGrAkC/uP+NAeHFJkDcMnigJ+7xCNdMEQasgnD1592eXFfbMksKob0jSgmyoIHX3Fo79Gs6I6YXzx16ObxdBU0hbRh34ikLWs4OBJSSAcUEw0K7a2xR4fZr95aIPnmgQQHKxZbxyP+w6V1kva5zUFqenDvI1kOjhgyiQaPPp8hlzbkswY/gK7W2Gu5ba+i4Vms2bAMHWmGDgwxPjDG/gNxbpJIzRR1nstBOpbXMzQLSDsKL4zzkhw1F3I3xxznGgME0ZFx/ejXc8zxWvnzP/9ztNZ8+ctf5vbbb+ehhx5i9+7d/Oqv/urhZbZv385dd93F//7f/5sXXnjhda9zzkCalbfPTbNYTDHZ8HluRx0wXFYMuG/MxasphDDUQ8H7ugJSswjuDJYljx2wWVYMKSEY8yW+AbduiDxFf7UXkQnJdJURfpN02MBkBcJI0k4VExIbEW4zVmGLDEFgMTLezqDTw5rcS3hZB5uAXjPAfOFxTdjH0lQHPYFikx5h0qwia5XpTI7ghwkaQZJ6lGZRz1aK+RIF03vYOAK4tCNksKaINFzRGVD2BV/bneBAVWIJ2Dlt8aurGhwq62kjuUrmeGYoSf+QoaFqOEnJVD1BLVQwmuAKF37OETw62o4rDmJak2gpiCKFbxwc5ce5QEIjiOsgeTqBoyIcHTLfqtCZGubb4TuhN4LdCurEHqQscbhd18zrQ04PMfPnCaiqOO/IEOcs2eB0GpbpiGsWBggfLlseYCzDMJI6DoO0YROwDI07YwwnI0GqnGGsovj+piJPv+oSeLB2XoS3Fd7d43HRspCEhOdeCSi2u6SSmj3jFtaCkE2DNTaYJinHsHUow/N7M8xviW+OeyYsikXNKwM2ORe+9ZJL5x7NL17dZHH7md9Ae1o171w5ygNbMgyOSrqKkvdtbLJgfvqIR+ckv5XC4CqDkpBQsVfhXF/p5apgYkqwsFvj2oq9fR6DY4o1y3xa8ppX9yq0FvR0RnTNyIdLJele1E06m+bA9v2MjE6TSDVpXdT+dhqKzoxz0B+uJSk3Q5QwcwbS8bwdng3C22c/fwoIZmo/zRAeH6bxJkMj0Of5ZDjf7b8deOqpp2hra+P2228/6TKrVq3iG9/4BqtXr+YP/uAP+D//5/+8rnXOGUjnndONxD/9kTqZdIgci8HBaVStzu3zDdtq8aP1SwohVxRmT4IbqUj2DykWFSIyDU0QCOiAxlBcP8fN+ay8dgupZRVG0110pYYpyzTjsg3ha1KpBrbtU0iWSAc1vLEEz2+9lslqGzgNxLqQKzLPgVHUTIocdfLREMPlH9KXv41c1MTXaQ5SwDEBQhr6VQ8q28bi9CBCCKo0qRuPFHHY0uVdIQuymsjAvLRmT1kxWJesKsRqfVsmFUN1yXIhMdqgtaYrq1nfHfDIcJNKXdCW80laMDxtk01r3rtshIEBj7/eOo+JRBvpS6apJTNIQrzQJRQWjvCRMkIjqYcpLKnJRHUWOYO8O/EiL9XWsqttWTxrL3Ik5ygBFIgNo+PtiABwNa70yBRjRcBqM4cz32fhkjptUxZB02ZVr+bixSHPE/CUCGhD0cBiG5I8mstoojXsLhfYWZ3AVFtIRYogEozVBc8PgR3CK9sVftXQ2zrNvDaLDWtg+4CkpQtK2QTf2uHyUjnktrU+ldCnUW0QpjVOwmGsrDioLSZdQbUCI9stpISeQsTi9jjczhgwRmO0YXJk/BglwaNZ2RFx8c8mqTYNhUxEwjmzYSxpGX5hVYO+asTifETiPIx++ayho0Wzt9+mmJc0A0MxUaK3K8GH3+3x4jYLy4Kr1ge0HFV4VkhBvq3AqsvXsOulHTTrHjt3DrF0aedcXtJ5IOta1Pz4onKU/GkPwW8e3i798HbZzznmeIswMTHBhg0bDr93nFi6tlarkU6nD3++YsUK1q5dy3333fe61zlnIJ1zjjZ4zjQ+5mx/c+5RStLbWwCg70CJO5dZOBYUs3FOyWwcGJbs3KPYYxTlpsBKGGgTGAucSUOxc4JC+zj+RIKCM0nFpCDQtFrjlESOhFWn3R4lHLcY6u9mYHABpfG2WM5ap+jTC7i4+2Uc1yMUNn6kKJkA7HEO+gNcYq3ionArT9qrGCbHZJjHQXNnos5SkUYgmKDKACWW03V4uzvTsaVhjCFnD5O3s+yvpEmoBAkFecdQLLQxOTyGLyNCZbhkeYV1XpUnt6xk+0SeQNvYqYC1GweQV0zx5HgP+6pp+p+7iOXDT5B6Zw0vk0AKgx/a1E0KHSmkNKTtJh2mzhXsZmGiRFJcSX90GbrLhm4TX5V65s8Hykd1+qFjcej7QOJXHYJpRc/6fqaqLVRqWcLWBo0VTaKsprddMZ126ROGBIIWFJIs04xzAMmlGHaMKHZNN0knInJRO3bKZ+OiiJd2SabqgsGKxdcflSxKCZYvKvKrPxPysTubfOWpBJU+m/nzNS9PWbx0wOapKRevCZYFzeEQ3wsoNUMsRzFdUowMx+qJShq+Zdn8wmUVpIyNo8nxOqOTFkolWbkyN6tQA8R5P5nU7N/Nhu/5GGPozmh687Mb/OcC14YPvdPjB48ZJqYl77jK5+p1HoGvWLWYU9Z1EgIc12HNlevYt2UP1ekq23cMsmhhO+n0WeYlzXFKhICMo2iEEc1Q41hiTgZ8jjnehhgk5jznCJ3v9t8OtLa20mg0Dr9va2sDYM+ePccYTgBRFDEyMvK61zlnIJ1zxElen+vfnGuOGGa5XJKdw/HT7c5swNJuhWOdaLq5xMbEUFlQbQqcIiSaBts2ZHrA95IM7eiluGScVZ2babhpBvwe6iZNSjSZb/XTGHR5fPOtaGHHk/924hybClQGWtgzupzl83exwttNT3OAKZXlebUB1x5Hq26urbm0RK9wQLWSkALLSpG0HIbQTEcJxiOLUuhhK8kiR4PRxJlATbT+IUVnK7cvbOHHAxsJ9QJu7ZnPykJEpVZlT36akWQdXwYMBIOoy3LMX7oHe7QNNGR7NIlCkme0g6jXqdagsc/mqRduYNnQDjpvGiBYZGElArRQuMLhIsvhBlHgimYbB5ptPJuyyWCzPGHhTjpxDo00EIkjQg2nOSUMivJ0C3qvYOGqA1gqoM2JWLy8TCMR8axQDOOQNSmaQqEx5MjiEpFgguFonP2eTcJNkhhfBFMtRCKkKx9yy0aHkUmbxzdL7LzDqkVwoE+xd8BQTwi2VC121BRbDlhkHUNaGCrTglDC8LRkpC5ZklVYrmF1Z4PnX7bxAxCeQGDo75OMjAe05jSTZcUPHu9hz0GFlLBhT8CH3uOROEPboFaunvQ7c7xc4flCwPwuzSfuir1yUsbXQWVymmJX20kP5aFrK67bJFiyfinDB4bBGPYfGKWzI66p1NaaO/tnKedKWPPCEOg8c2Yk1f1Q44UaW0msuZC7N4aTnQtvtnNkjjnmeFOwaNEiduzYcfj9xo0b+frXv86Xv/zlYwykV155hZ07d9LV1TVbM2fFnIE0xwxH7kr5fPLw63Iz4MXddYTRrF9skUocWW7DopB3rfHYMWox3BTsLFrkPE2iKuhtjYiSdQa9kITxSGVrdFhjdCcOMhm0Me630mEN81L2Yqx5HqEfQd1CNyw4NCGOFKOTnVjzA5q47HCXsnpsNxuGt5J1qwwtVvQXW7jar3BrFKDFCr5nT9JAo8MCLwcpairgGSN5sab5f0qPM7/xIggLnXMxmd0IMZ8NLSnWFZ/CmB9gWx9CiA1s9/vZU6ySkwmUUTwtOplULmk3wFYRlu/DpKZq1XnBSpHRPlpovLJNlJTs2LWWHZvXkHSrJFb7OB0Wt88L+cMrA1ochYeHpz1cBDU0PY5PZySYsgSBZdDNmWNy6Ao91O2HwuwkR7xJCnChOl1kbKhOvlhl0aopvKTBQzKGoUSDa7DpwGIXGjAsoMC7TJax8U5KO1wWp7P4kxFOOoGaqdLqAmGkybmGyZpk96jCBkIDj+y1cSyDtGB4UpJriZjfGTEwpbDrMLZfMiYM476gYQR+RpIoCKJdAlGO87sqoYVUWTIFzfefcNm6W7F8YUQYCp5+2aZ3nuaGK070+BgD0+OTAFRrgieeTDGvJ8WVV/iznt1OwqVRq5/RlXCuOBQheOjQnWreJ46bGAohmLdoHsZAKpdm/6v7AKjXfRb0th3JQTsTzpWw5oUh0HnWOJYk1AY/1DSMwVUSx3qbPvF9owyUk63jjTpH5gyxOWaYU7G7MHjnO9/JM888w9atW1m7di0f+chH+MxnPsOf//mfMzAwwNVXX83IyAh/8zd/g9aaD33oQ697nXMG0nnnzZ+DdCoSCZvIzgLw9I4qFy+BQkZQEwF7WidY+AGfdZHNetPKF7cXeLzfxusXtBSbRJ17acvsI2lVyekKUaRwRECv6seRIUlV47KWF5gut9I/vhjV6hNNG6K6HU/6E4KpqTy5kRJbWcm6lGbewRE826V7apB5B37EcPFaPLedgJCm8enGZQqLZ7SkYgmEaSEra3TwVQbLzzBfzsNoHzH2IkatRqTjJ/NKtGL0FEZvR8v1DNgVEsYmR4JdxmJXzebAYAfTD+UJ9rmISONmA6xFPqkrq6SLTUgYRBJErMkARtCsZvGHoFNrqgcCdmQaXH1JPOHviATzjc2jk4rSeIZQCxJpjakoQg0mNHEF7kM5rpL4dDEzr8XM/1kOP+EvjbeQL3g0XZ8mFnkkaW0xIjwG8Pm4yXMAjQEWoJiHpFIrEE4msBMRPpUTzoFiztDRGrFjm8MTJYcNCwJKnmCwJNkybFFpShIGmsBWT1HXgondEs8TOO0QOhDUBPsmFNWKQAyDLQyZoiEZGQ7sV/T2aPqHFYVshOtoXAdsSzA8DhNDY7Oem4WOVgD29Fk89nSKzg7NxksbZDIn9xZNDo9T7GhFWdZ5r5MEh/KqDOJ0nomTfC0E5FryrLlyLTte2E6l2mTHrkGWLe1CybncmXOFEmJGfctgSTNrbau3BW+XfX677Occc7xF+Lmf+zmefPJJduzYwdq1a+nt7eVv//Zv+cQnPsFXvvIVvvrVrwLx/faqq67is5/97Ote55yBdM65MHOQTsWhJPHW9iwv76+xsCNiV/sYfapKzrIZsjyapsQ71jh4yTQ/Ge+lnN5PV3GYekWSytdotSaJIknFy5OWddr0KAutvUTCJdnb4GuNX6IRJjEFSWQs0GBJn+7SELJs6O0dosWfIq0bCMfg+E0GaWeTt4rlJsBNHMRnCos8S8nzg6CdATLMw2OV9WNW2C8xWZjku80eLjE99JSfRHi1WDb7EEIBAYHnozFYM8fh/sk2djdTVL6WR4+4IATGNzTHLdS4hc5oqqszuN2GzEUa87IkCOL6rbIIqbxhoxVQmNIER5X5EQic6TSbB2xSAtJORCaryMiI6oCFrGqajsQrSHR9xlCyAJv49SEp8BQgQBQjdF4y7WYZJEuL9pnWgimtwbhs1gl2igjXHUWjsU0biBTuzCgQaQhCGB9U+KEilTR0tGsqdcFkQ5JNay5dGNLdorn/JZcxrRBAPqmxswLdJhgtScKDUC1JTAS6BtmkQTmwIheyedqi7hgyriEhYXGHJoriQa0t12THLkk+4RFGgkrZJSErtHS1z3peHprALl9muPGGgLY2fUrjyHYdjNZUStMkM2nchHt6w+VsOe7yDTyf6nSFYkfba25SCLAdm7VXrWfv5t3H5ial3DfbcHHBEWlDM9TYUpBO2jRnZMBdJZFzIXdzzPGWxiAw53kQPd/tvxX5xje+we23335YjGHt2rU88MADxyzzy7/8y1x//fX867/+K/v37yeZTHLddddxxx13oNTrV0+cM5DOORd+DtLJEbS2Ztg0PMZ4sUGHSpDEIoHHoNiB41hcv0TT4exlf81CNlMU3Brd8wYwMqCmXdKmRqc9wrrEK/jCZZB5LHD7uHLhE2yrrWOqUqTktYEBGWnUMs2VXc/jOjXSbkDQ6dI70Y9y4cXOy3jYX8HzUw0uSngsaRtnTNg4SKStqId59nuKJVJTMWm65BD7GlWmdw5wiz9OTpexcyHSmocxOYxp4KgVhPWAziDFgUyD2nSO5/w0zacT6FLisBw5toCGIJqwiV5NYq+oUylJui/1aF8QMXnQAiFpW+ZxueuzcE+CBWs0F606thCqrLu0hApTqNFmYLxu01kIcPM+gwM29VHD1JSmmVUYF7Qrj3iNXGJ1uyqIfIRsCZGRoC3dRKgMvi9JRQEFZTBG0gwcvuiFXO1MkpSGKdHkFrOEJe2C1rRm/4hk344cY+MKIePJYVenJpE3TFYEizo1GxaHpF3Y1K+YmBLctsFjOlQ8MmUx5Cuig6CbYGVMLEFeF9QrgvndEWvbQ3Y0LTIZQ8YYHAwrlwQs6C5Tr0TceLliut7Cvv4EUsI1l4fcekPitE/ycznDXT97VOHZ407lQ28LbUXqlRrGGEI/IApCEJBIp85KKc5v+gT+kVA+y7ZxDxV3PYUn6FRX2Om+O9TG0g3LGNo/xGjfSFwzqSNHJpc+62FDm7PIyXqr5iABfqgJdRxWZ6l44xK2JIhmjCYlsdWbbKPfCszlIM0xxxyn4K677qJYLHLXXXdx9913c91118263JIlS/jP//k/n5dtmDOQ5pjhzO9KbfkMe8sCJx+SdCyqTIFpsGiiRmtpB8tNjdHiMobyG8GtUrarNFFk7DFa7PFjnqYE2BRFiavdJwkimz0sp1rKYaV9VuVe5drlj5G26rQwiVKGodULsGqKQFg8Wb+OaV8zZdlsP3AD6ZGQO1c9zIQ9SdqZotModjpL2MoqUnaFfHWK9c1XWNOyE9GjqQuBqr+Im8swLvL0iXezWKykN5dhfXMhtfpmfjTYpJqBaO+MiETNwJSI6w6lACHwx2ySIiQaVDSXNum9forfajHkLahKTRPDL/oZipY8YbKfVNBhLFLaYW8iJJSapjCsXtyEEdiz2UWWgLSAawwqZYi8GW+SJvYmOSBnlPlSKuKS9iYJk+AFLWiVcfSzQrBIu2wOI3w/z2TF5eGKy4DlcHs7XLE45H/8a5JaSdBRaJBI2mgjGRhSROOaUkOSCCJe2GLT1abJpAxagzGCpYWIEST9Q4qylFgdBiIoTGuCMiSU5poVIcNbFY2GIDdjPK1YHvDLvzBEJtnEdgosWuTyK20NHnzWYaoqWb88JJXk7Dmuj8vjJcyMQZBIJxFC4LgugR9gjKY6VSady2DZpx4OG9U6XqOJ5djYTlwYzGt4RFF0xEB6jcx69c1MFsVx7+ctmkc6l2bf1r2MjpaZrjSP5CWdIWlHnXkNoJ9GDtK5nijP0l4jiBAIEtaJniJbCaSQ+JEmMvEyZ7WOt/NE/7UEThz9+blo/7UseyFwPvfnrdZXZ4h5A3KQ5lTszp6WlhYmJyf5/Oc/z+c//3kWLlzIPffcw913383y5cvfkG2YM5DOOxd2DtJs5JwkS0wXW6YHKOerJJyIhZVxOka3EVmxEtvyqd3YqTz7MnkaFFF4ZKjikyJBnSQeDTK4eGgUxhKsTmyjSYqhdC+La3v5nXn/g6BkkbbqkIIR1UmPGsHNeGz2rmSvt4AKLlHNZrLSBiVBXSs+sv7bNESGojVGwu9kLOrgqfAq9uol/FL6y5icYTJTYNoUqZGjm3nUZYMdYjEuih58osRzNPr6eeqVd+OvkbHHCOI6RZL4yjHEanNZMHWBmRCoTkGpLnmpJLh1VUg4MzS69uxH+eJCHHa2u5ykIDQr0hEVDCUTMb4NEumAZEfE2I40wajAWQTNhKFpC8whlTsLhGdw0rA479PitTA5bJGwNcWkpKgMxcglEThkabBz2mHHSJ42ZfNKmKTha352fpOcTFC1BJMNRU4KhBR4wOiQFe+HI5iYhqFxi2zO0NWpebHPYll7xMXFgJelYiIhydqGTN6wvCOi0SeQGYMvYW+fYu26kO6EZnBA0NnVYPnqLJbKImc8ONsOWDy+xcHzBdsOWCjV5OIVx3rdtAYvgFPZJFprSqMTYCDfVkTMKCZIecRIdRKx6952HMqlaVKZNJZjIUS8jNEGg6FWruI3PJKZFNmWAkKIwxPqKNJEQYDRx+YZGQO+59Gs1im0tQCv4So/xeQx15JjzZVrAdj54nb27R0GYOniTixLXWhDyomc6+0/2qNooOZHOEpgqxMfWhxCSYGIBJE+w5ykN0MgwJuB8y0ecja/e6sdh/O5P2+1vprjgmZ4eJj77ruPf/7nf+Z73/se+/fv57Of/Syf/exnueKKK7jnnnv4+Z//eVpbW8/bNswZSOeds7mrXjgsDtrxS5oFbkC73YL2t+LpCvXEfDJ0UPTrWM0cnunAEg2ypoAQHlNsJ00/ERCSIEudClmGTRdp1SApGmgN/cxnW2M116efwFFNRu12emQ/ATY7xDp2W4vJp0cpVxZSrWYRSmCE5uBYL+NTNu25EdJmim16JeUwR9MkcEWASmv6Ej1UrBzNMEHDThN4hmXjTa7Qj9DTWmMyXeOBiQZ/eP/Ps2NgAXghYokPBx1Iyji0zRDXJ3I0cmFIuMMBFNZEAtevs8tv0lELSWfgWuOSPskTpBbH8MsLm+yoKCIjyFqaf9ljs+mlPKlxRQ5NwQ5IFwyVVuiaH5FIGqa1YO+gRbURnz9q0oIpGC9I7i9pkjlDm22oF5IkbIMH1ARcnQbRaKdKko0pQTM0DHmSuhasmhfSVZCMlUOqoUIa6MxG0DQkUgaj4orj1aagpmHNAs3BsuLRkmRJh2Z9LiT0BUk/NgqnxgXtoWFtS8DafMTCK0KefsRi20FFpQpONs2jLwjecfURlbp9gwqtYd2ykFf3KvpGJBevONJf1Ybg64+6HByTXLsm4B0bT1S485s+tXKFls42Dl1fp5rcCiXJtxapTpWplQMSqSTKUtTKVXSkyRRyZPK5WdtJplM0qjUqU9PkWgoA6EjjNZqEYUiutXjekv0PebHWXLmefVv3UJmqsGPXEAt6W8lkEoi3qsrA63imFGpDM9AkrBlJ79O0k7BiL1IjiHAteeZetzPlwns+Nsccbyk08X3tfK9jjrPDsixuv/12br/9diqVCl//+tf50pe+xKOPPsozzzzDs88+y2//9m9z2223cc899xyTr3TOtuGctjbH2waBYL5dIDPh02UJHHUJodhG0c+RFDmkqZK357NCr2C/12C/lyQpErg5SVPOI0kNyTQQMml6EBps5VOuZbG8CK0s/rbySb4rbmdFcjvzZT8J4TNilrLIVKnpDG3WBEHoUmq0YkmfCNChYk9zEUvzD7I8GuVxcSUTupVpr4CPw26WsMrdjmccwsjG1k3advXTOTZOyuwhLLzMv66+hv/v336DvX3zMbaCVwVmKbAkhJ1WXMg2EKA0rA4RvqE5mUQ44ApFx2ie9F5F1gS85yLDGuxT9mXBNlzRGiKAUhUaLyXof9WmXAG7AspzWbYyon6ZQCeh1TaocUHJ10Q5SRiBtgTNARjYZOPM0yxaoXGLERUDe0RsfC1JhlxbDCmbJDuMy6SnmfQlXa5mXk6zakHEU5slG3sauCmDxmL7fkVqnmF+u0ZLQakq6C7AtJHYFtx1icdLfRZL2iJ+/qomX9vh8theh6G9AoYFmXZNsyp58QW4YU2ZoQUJhkspbrrOkC5oNu20DxtIBuhs0YRasKdPIQS0FY7Nldm8T/HVn7h4geDAkOLKVSHZpIGZHJ96uYrRhkJ7a3xLmgnlMWbm5fFz4kOeAQHZYmwENWp1yqVpLNsmV8gdNkRmvQ5E7IHSOjaK3GQC3/PxGk0K7S3HrOdM7pFhNOOkPMqePuGnJ0iCw5J1cd2k0b4RDvZN0N6Wpa0t99YUGXiNu+SFmkgbkvZZGDoilgGXkcELNZYU51YC/C14eOaYY445ziXZbJaPfexjfOxjH2NwcJAvfelLfPnLX2bz5s1897vf5d577yWXy/FzP/dz3H333Vx//fXnZL1zBtIcr5lMJsHQiE9b1jCveDFOYwSmNwHTNAobKBeW82q5nc2VdbRldzBpxsl4Ablkmia9VGgQ0aBDjmB5dV6JVjHEPBK5OkYLpDSUEzn61XyanktFZAntNCFj2ManVO2goKbIqykqQR4aFiIdIRKaFA2Kcppl9h6m60VKUZGmSfF3tX/HR/UXmZ/vw7U9TF3QMjlJs8UGlePr+lb+6cl3MjDUTRTKONdnSsImG5YKWAwEGoQBR0DFwpTAOIKUrZEpWDgl6OpPo8cNK1fX2OcETBCRQLASh+Tx3qSZSft4XfDXTyR5eMjG7QpIJw1TmyPcxXDJ7YKqK3m5ZjHgSfrKksmsJERAw+A/IdBbgQi8hGT3bsnkdZKlOuLOZR6WhAM1xctTNr/Q3WTcl7xaUSxIat7f5ZGy4B1X+oxNSV7d6WInbEqeRRWB5Rhe6LO4dkVARw4OjkjmdwRMK8XAlMSSsLorZH5G86Fej8syIT+adkh0Qk+7JgoiDgxpNh1Ic+utmobSdLYaRicErYXo6G7gmg0BYQS7+hWTvuShHTb/9rxDS15z8ZIIrwLlmiSIBCMlQ8ODbCr+/fTYJMlMCidxnLDDUUbRCfPRWSaoyXQKy7aRSp6REo7txst6jSZTY5MoS5HOZU9Yz6lsJD+AH77isOmARcqB91zisbonmjUH6WSNdC3sIpVNcWDbPsbGKzQaPvPnt56VAMWbhnPsWan5EZYUJG115Nw4i3VYh3OSDI0gImnPcl7M5SDFnO8CxnM5SBde229iDPK85wjN5SCdO7q7u/n0pz/Npz/9abZs2cI//dM/8bWvfY3+/n4+//nP83d/93csWLCAu+++mz/8wz98XeuaO2rnndOpRZ2FmtSbjPHxKqt6oH88on9CoTvei1n4q0ws+DAPdK3nh/ogzzd3MTHei1O6AlG7gsrEO7lE30iaLBLBIlq4nAmudH0CnSLnTpF0a7gJj2S6RjE7yaLUHvrCXvrGFjLVcNkuu1G2h5vxsNMBSbdBGFiQ1qS7p+lNDqCQlK0WVos9JJpNCtVpev0+Rga7+H9f/P/x4+F3ss8soq6S1HUOnyQvpTr5RnQDe/cvRYgIqjOTIAmUJfQBVQ2BhKYFkwp8SSQctG1jJ2C5jFgzGZJKGRpNwbOhx/dEhUdFnR+KKj8UNfyZY26MQWt9+O9He2z2liUZ7ZNuGiZfqcFIhcbOMq9uCal6ki6hyWiDaEC6auiZjuBZiDYRh/7lAQPRXvC3QHlYEjYFaQnChuebNi95Nte2B/zHZXXuWVpjd8bjh4S4LZqP39Hg526Z4vqNTbJthhULQzYuD7ETsHXAolwTXLoy5Lfe2+CGJR4TA4JWX7M4E/IvD7h84ZtJvvV9l5dfFYSNKrXpCoHv0d5i0QgsVi0JuW5jgBCG9StCbrvuiPpcGMET222G6pJpIdg2qvjeiy7/9nyCv3koxe9/O82zfTYbFoYsbg+5cnlAJhn3pdaawPdPNI5eI7Zjn5VMqLJi5T+v6aG1wXZP9DqdarOe3W3z400ukY7rS33jaZeJ6nG/OIP9yrXkWHX5WhzXplrz2L1nGM8LLrxh5hxN1IyBSjPEURL3+Hyjs1yHlCIOsxOCmhdxghDgXA5SzFwO0vljLgdpjjkOs27dOv70T/+UAwcO8OCDD/Irv/IruK7LgQMH+KM/+qPX3f6cB+m889bMQQJoa0uzfaBCFAkma1DzoGi5HLArjMoqbVaGSktApmaxq9GOVzFc1xKxQYQsMCk2ixewmSJHk0wizW+63+E73gb25xYRYJFTZfLWFE2TJO+VGZnsITQKmSxTE63Mz5RouBG5+VPUWhK4bpMlLXvptKZJkMbFkHUDiukSKdWgPJFnbKQT30vy9698gvkL97Om51V+e+0XaZX72JpaSmkkT91kY/GFo5/WK7CaIRlRoWrSaCHRlopjoSxwtGZpI+LWaZ9E7NTBCM1m1cRFsAALH8NufAYImC8lQgimx0uH+3PvcJF21yO10GbbVptgOuKiDYo1uQYLgxrXzTc89YLNgQOSaKehXyg6FmkOTEhYQ2wc1YBREAH4g5KxlOYnvkP7FZqdyqIjEfHVaZeCMtyS8plMN3hGBxgMzUhwm5BctKzOYCPFk32GZfM0WsPyzoikY/jUnXVacgYhoDkgUMMwYSR/tTeNsQ3Lej0ybsSLOzJsPlDgvdfGctj9g4p8VrN3yiLZZbhmYcAlC0OK6SOzzK0HLe59zmWqJnnpoMJXgoEJSROBjiBwYee44tdvamC0YPWikFQC/KZHrVylrbvrNRlH5/LBaSKZOJyLdDYMliSWMnQVNO052DmkmKxKWrPR6X98HLZjserytRzYto8oitizb5SeeUUsS5FMOhd+2N1ZHLDpZkDWtVDi9PlGZ4IQ4CiJFIa6H+HaM7lMr5W36VP7OeZ4sxDnIJ1fX8FcDtL5ZXR0lE2bNrFp0yY8zzv9D86QOQNpjteBIJ12cV2FbVtM1DymfIdCTysdyYAaAetNlsvbI/bVJVl8LnUqeA2LQrLAUrOCg2ILdTQwTruY5p7EvewnR4kiVZMlRDIadTHhtyKMoNWME+BgC0lelEm5AbTupKulHykFy+QB1jOCLRIsrLThJdaioySecAhTitb545RHctS8NPt2rGR+vYy9vp395jpetTYShGl0wqLhJY7sZgNwIBQWoq5pc8dpyiS1Roag4SAtQzEBlxRDUjPjYK0mSOY0yj4yA4qVuQ2G2ENR7JhRXzFxbszCDpsDezRr1ti0tmjqo4KU7yGBy1YKJndJdr9skU1rCsqwrU8QJSRyPhDE7dBCLD/eB2lLs2F+yKBW7C0pNvYEXJcPSEoYiST3Tgo6owiTip+GN0KD78fqbYW0ppA2vLpf0bdXsn9QsaBV852sy53v8LAt2LXPYl6HJpMK+OYjCRYuCEnZITiKniJs3yf5bt2htU3T0aWZVJJvveRiqdhb9NJBm1+4qkl3IZYoD3RcrNa2DMM1ibYhigRCxsp1lYag3hBsWBrR1aIPH57S2CQd8+edONE8qn7P4Zcny0E6h8za3mkmwl2FuIjwyLSk0hC0pDXFGen20+Ugzb4RsGjNYgBG+0cZ6hshCiNaWzK0tWVjpbsLlTM8Xs1A4xzyGp3LYyzikDshZJzXNONZeq1tzTHHHHPMcXbUajW+9a1v8aUvfYmf/OQnRFGEMQbbtnnve9/LPffc87rXMWcgzfG6yGSOaC2n0y6+3UJppMkq45ItRrSSwslprsjFVn0UJmnWG0yF45SyGmkWYLORnNiGRuGRppchehiiYRKM6o7/P3v/Ga/ZUd1poE/VTm9OJ+c+p3NQKyeUhRDCAkQwYcAyTmNsPMa2sOfa8LPHHmzDnbGxxfwwjA0Gz8WYHESSbCwUUA4tqXPuk/Obw851P7wd1UHdOt3SaXGeL93vPrV31U61a9Wq/1qMuMuoOSmECFmV2skeVjFAAZcGNiadeoM2ali4XMIMFml6VZplxmX8IJ8g6pj4dpSo5iOoU53KIOsaKimZqyX45J5fpOT3EQxEyKsEkURA2dKgSDPXkAVMA12CYiOH4XmEocQPmsuoslIxGIT0mgcHtAoKRckN17mY0uQxbBqEOCj6Meh88Wt3cNC+tsvjW9Mm3yxY5CKKd98ZsFEGtGcFGzdq/J9/1fC9Kv1dEXo7QyZrGvuiGhENgknABNWAMAWRnGLd8oD1PQFFS6AFgmuTHhEJjg8Ju8Ku6QTmeJzBdTbpjOImUycRE7i2Q1cm5M2XOPz152OMT2qs7vPZ0Bfw/A6diKV4z5scWrIhO3YrDF2QS4cgdfSI4IWtOvv26eRiioQBNECLN2NbrO8KkAcNnm0TGg/tMnjvFc1nY0Ofz3XrPHaMa0STikZdoEmF7wgMCZoNrYmQ1vSR61yay5NpzR66jMdd10P/zlYF22Z1Yobiok4fU39RmXPNS2iQrlzpMV8RbBnVaU8rbrvIoTWpjm3iS2iQXlTdYdp724klYozsHGY+X6Vhu/R05TCtRdz9L9CzUnUCDE0Q1Q9qjk50vAXWoclmmPBDEe6WNEgHWdIgnTuWNEhnHYU4JjfjuapjiYUThiH33XcfX/7yl7nnnnuo1+uHcxxeddVVh0N/53K5lzjS6bGIv5BLnI8Yhka5DG0Ni67s8bPUmq4hEjpb/GFm6gVMzUCz+lmnWkmJJwjYh0snU0pDhZJtznpGqwNMNzrozhxgWXI/LknaggYWcRqajkGUGlVAMKSuppU4cVI4RpyRRoG4G6VRj7FnV4KJA0lCV4M2IAX7/EEsr0FnbB/jtT6qbRnsWYvMUEBxTkc5QAY4AOwD1SFxDeuwei8nQy6K+mRNRetBPczsnCCbCdmwLiBHjLiSjIU+oq5zARY/eSrCvjGN1mzI225ySMSb3pOHqxYtGZ/BqMd8oLG2S/LGDgOlIAwCRFDCcy0qxQo1W7C+T6PeAY26IJb2cE2IxSsoJYiusplxMzxeijDRCsJTfPNZQVAXqBDSKsPUAZ1pTDrGDW68zSYXUyAh05ajNF+gMy5Z2Wpx8YCPEYOphqQSETy2S+fmS+e5+dICUTOHHVhc3+uxfUTn6S06L2zRac0F3HCpR2tGsWNY44X9Otdd4h2OziYldKRDdk1rFOtwYEZnuiTpzIVcs97l6arG5p0muqbwQoFhhrRkFDdf7qJrTeNobmKaXGfbMbmNTkTNhX99PsqevIYuFcWGy60r3ePKLXR8EIk1vY6l+SLplsxxxz3VsS0D3n6ly5sudjE0OKH8aQGNS2QSrLpkNfu37qNRrbPvwAx9vS3EYtY5C0O+IF5mm5SCiuM3E+EevazuRMc7G1o1KcDQqDg+CVM/csjFeE1fKZY0SOeOJQ3SEj+HPPnkk3z5y1/ma1/7GnNzc4eNosHBQX7pl36JO++8kxUrVpz1epcMpCXOKvPzNQhcoqeYnc7LChXLpt/sRvkhBbvEAbOFG+RdmDzKlHiCmGjwjMyxWa0jr6cY6tjJpclnqYRJ1gVb0RsubVVBJZ7FTuRo0SJIoswImwoNFHOoMMLE/ADjtRRexWJsOAU1CR1AAPqYi1oBJT2Jb/YzZ7dBJiTIBlBTtFzoU9hjEQgBPcAeYALIQCwS0h1XrG4NaASCoXSALqBQFMzNS26/zaWjPQQEg9UYzz9lsX9W47Obdfbv1jA9hSbhmS06n7yrRl0I5lxJn+XSnTHZWxfM+80Q3pvHJZt2NTC7s8TyOsOzgsCro2+oUXUTeCLAjkmiTo1YpEq9ESfTO0uQL7Lt8TVkL9OoZ+CF0RgJXREzFLOzUJ2T9A4FfP+AxYGdGn3tIdelXS5P+s0OKPAwNJ+KCzsrBmVX0rAFhlDsK8W4cp2kkNR5clTybF3DzYJVV7S1hNx4qUcm0VxOmEuHOGWdhntoKv9gjt2w+fvbT1i8MGwQqubv3haDa1b6eEJi+KBQtKQVVgyuHvJRCjzHQTf0lzSOAAoNyVRVsiLnM1XV2F84djnUGThmTokQoplg9kXq/TM5buTspnE4Bt3QWXHhKsb2jFKcLXBgeJbOjjSZTPz8inR3EkvWCxS2H5C09CMh3s81omkkSUOj5vpEdA1dO4OKf05n7ZdYYoklTsXevXsPh/Peu3cv0Py2ZjIZ3v3ud3PnnXdyzTXXnNM2LBlIh3mtfalefD6HBm2nOseFX4NYzCQiFdHTGOgJAZqhYUoT3/Ox7YCofi25+EomxQFWMkoy8Rj1hEWMOlZo05BRKjJKJRllOGbQV6yyYhoinRcxJ6vMUOQSeiGUPFStYOkNLF8xM26CLZtL5gxFei6P8TqHMKJRDpNM1npQhkR3fKw+B3/UxNcEPYk67mSEWkwSCIUx0UyE2tkSkMuAHQjWZH1aRMiu3RpIuPX1LjffcMRD8YNnTZ7ZryMtxfNTOr4G6zIhEaV47AWTZ7c5XL7Rp8sKeL5qEtiSeiDoMgO+u8nkwR0CpdJolo7fBmuzPqs2CP7vbBT22XiGiV2JEpM1GoU4euATVjWi0TquCJgp6mhp8HoESU8RAYoIyCt2jOqsXOHTkQnJe4JvzkaISJsV8RhhUKGr0+LLz6fJaxqtWoDhKVq7BFvyMWZ3hDy4zyRhKVpiCj8C5bqgagjG5gWZRHNhQbEgWdUWUGhIWt0QQ8J8VTBelKzr9HlhxGCwPSBqHlx6N66xKuFzwxqPsUpz4G5IuKrbY0U2aOY6opnr6HRojYUsywRsm9WxdMWatmMDH7xSb72iGR1+IRWqM9FMnaAuIaBvZR/RRJSZ0WmmpkvYjkdbawrTPE8+Byc4/4YXopRqenFe6W5cgCYEMUPD9pt5vCLGaRqcr6VPzhJLnIeEyFcgSMN5NAG1SFi1qpkh/pCu6FwmhD0Z58kX8ZXgtfalevH5nM75LfwaxGIm8/MeqYhPNnliIXgLKbIkmaaIgSTQQlbSSySMEAYBqTmJlcgzbc2gQkUiqFERcWwZoZU5qiqJk48yW0wzanexzQu4JgjwuwJ0XaAhmXY05m2DwYTP1O4kldkY+IAG8ViFtjdM0RAxKvk0wleohERpEIYC0En026QDQU/V57JeHz8wsGkmMN22TWd+WiPlBHTFQ6QPhZhgw3qfDet8xick//q1CDff4NLeETI8qxFE4cmCQT4jURJ25SFrK0IF9XpIdT7PbVGDRFuWogq5JuPR44f8+/4ILVaJ7s4kEDBfFUzYku4UzO+TmBFB3TdhzsecdGhfPU1gCOKZOtWJBG7OhFAQn1XINFRigoivyBkh1gpFMgu3X+hiRaAFxc66xjMVnY1dMfZM+cy2RPHbdKoljVDT6OsJGOjxmCxL9pd1etIh6cgRj8mlQwH5CcnWAwbK9gFozYa8+2aXrUWdJ/YZ7JjQsF3oyYQEOUUYQtUVTJYlpq7IxBWlouQ3Lm+wp6RT9wRdiYA1LQGagKn5KmOFPiKW4qL1/nHPV6Ek2LG3Gcxi/aqAiAHvv9Bm55xGzFCsbTvzyHBngue4VEsVEuljcyG9bK/GUYbOGQ3+T1G2tauVaDza9CYV6ziOR2dHlljslfnwnE0qjo+lSUxde1W7cXkwz5IbhFSdgIR1HgfCWGKJJZZ4FVFKceWVV3LnnXfy3ve+96zpis6EJQNpibNONhtlvNhACJ+hruYgQaEYZ4IxMYFEMqA6yZHCxaOFFH2yDRmVoBRurEhOOuCN03BK7IusICtKxMI6U4V2Jos91MoJlCfRDI+5IMJPJzw6wwjrcoLpcD8HalGCII5ejeNKi4Z/aOQUklmTx0h4OKMhQinCqIYWc3GFhXI1CCRmzqU95XFDZorXWRo3qw4KtuSFgs69l5q0OCE36R6BD4YB7W0hPd0hz2/Wuf9BE9dtLrd6/3tsYhHYPKIz35BEbUXFENhxmJ0UpOMeoVMlmcuQAlZoPk1LDv5zu065bLNyRfzwtW1JKCZLkkpFYhiKCTuCikj0LQ75R1pJ3lEmsaFKtZhgeNsQtEooQEQq7BJYHYpYUbG8EVAbEPQPBlhHBeyLSkU5EAQh3D+SIO9IbrvA4YkDJghF0ZUcKOtclfEo1jnGODrENZd7vJDVubTdp78lYPVgQE9nyEWezxPP6VTGBLlYiK7B5mGD0bLGjvlmBDvRfFi4cZVLe0LRkfSaz48CFYbkp+eZKPXw1e9ZJOKKlmxIf8+RiHauC1/5XoTtezRiUXjvW2wu2eCTiigu7z3emDqas+FDtqIRDMvCd11K80WS2TRCioUd9xwN+uOpOMsvWIlSivE9o4yOzQHQ0Z4mnYohFnk4cKWgbPskLQ15lsJ4LxQhwNIkmlQH2/YqeLSWWGKJ02bJg7Q42blzJytXrnxV27BkIC1x1pFSEhwM2XyIefLsEnsAqFFjs5glRQ8Z4vSqONrBDiQUIWU5hRYoZKNGw4wR02poYUCjFGXi/gH8qEn3mgmUFLjKomFZCGVQ2znIyGbBYN9uiHVSLA4xFyjCnEJDESAwow7RrhrhvMAIPJJtRSpaGs828asm6mDIq9JIgjHRoPMSybhVZx6X1ojFjV0el2U86rZAGKDrkLYUh8aSibgilVKUy5DNhEgJb9zo8PUtJuWSJJ1SSA3aREjPCp+OlMNcJYumHRu7XymFDD2EZoI40rkGYVPrMqRCokqQ90wwFIGv4ZdMdn9rDcZDHv6QjuqWYAApkF2Q8hWegnigWNUW0DqgGI5J3BBM2QwUUQwk10Q95uuC2SBJu1kllzC4fECwd05DSEV7OmRZS8CcfeJOP2ZBqk1xxeUeazuCw+PWp7cabNuiE0NheDA5IhE1qFuCSKhoiSvqrmC+LrGVeNFyMsXsxDQtXV2IWUEyFZJJQDJ+rIFWqQmmZiVdbSETMxqz8y/9YTpbGiRo3htNE8hIBKlpVAolovEoQkoM8/jksa82utGcwBhYO8j0yBTzk3OMTxSwHY+WXBLDWIReEAVeqGh4AanIK6g3Ol0E6AgSlk7V9YmeSpf0WlvZvcQSNPWAJ/r/EkucLq+2cQRLBtJRvNa+VK+OBulkNGjg4iFxGKHMBNCFhksHTwqfm9Uy4piAILp7jPSjj5Cx9+BdO0hpbRrNc+nbM0tX3zRWf4280cq030GxnsMvtGHX4sS3TrK1uobo2LVYYZk5o5WeynZ8I81Ysov8vIHVZqMLHy9qIPsCIj0e1ekk4axAFRRa3EfNS4IZjSknxo8a7bzx9n3MYJPyLB54xuTLP7F4YVTHVtC/IuTCdT7X9LjcMOizYnnAB95nU60J1q5ueizW9wW8ocMl1AV6RnF1NOByr4GwHfLVFNOz4XHXKwxCOowCPa397J+T9OcCQmD/nEZrImBLSWPvpNF8g5VArRTwIOAIvHkTqsAUTQNpLZgZRTaiSArFey9weG+PTSQBX5m22FbXDz4egjUxn6tSHoELUkBw0EhZ1hKyrCVktCRJRxTtiRAvfLER06TsCGKGIhU5Nrjp01t0cgnF3jHJ8DYN14P0hpDrr/EIfMF8VZKLh6zq8pmqSu7fZXDNkEfEgHq5hrSSfPWnFtuHdcIEDFzo8UxepzwuMcLm0rneXMD6VT7PbjHoag9Yseyll9OdiydeiGauq0Q6SaNWB8BtHDGChRTEkvGT7X5SFqpBOhlCQOdAJ5FYhOnRKebnq7iOT1tbiujpCApfQRp+M29XytIXb5ctmoEuE6ZOwwvwQkH0RLqkxdr+JZZ4mSjAO2p29Oj/L0aWwnwvcTKWDKTDvNYe4FdHg3QyokRRuMwySYU4ETQkdRKElHGp4BLHRNbqtD+4h0qliul5DD48DI7i4t0vEJl10L0AtVlRWpFiemUre6Ir8Co625wNjK+GuhZnX/0CLvbGqJdiuPUoaXuWeLaVfF5HqIMJQz3Q2wM8XUP5oIo6whMYyiNoaOCYuJ7GYzNROoKQFumxaZPJx3+QYLgs8XxBOA6798NPHjL523QMoSvS6ZArl/ts7LLJ2gFaf4NYxmdbS0hxsyAuJPvzGg0tQpum2FMSaAOK+brgjabiWr1pHFWLZVb0J3l73OWHm012zzTzufRkQto6Ar4+arHrgE7gAUNAUsLrgMdpJrat08zjFANtKOCaFo9OSxGVioIUFCMwXtHYaPoMGgFSF2T0kLUxn7gGSocVuYCnRuMkG3WiQuAqnaItuGGZx/qOgIcPBEyUJT3pIx/AIITRouTibp+e1LEfxjCErBVSm9CpzIjm8sR5SSaqWNkV4AfNe/PAHoMdMxouETaN6gxaBTKpBIFn8pNNJrYJz8zpfGkqQsJURENFOZQMpgPettLhTZe4XHWxRzKuaMkeNXv5KsyBaLpGIp0kDEM8xzvSFBVSnM0DTWMp3ZI9+UHOgQbpZHVk2jJYUYvJAxNUChVcz6e9LUUqFTuDg51b6l5IS9Q4L7psISBiaBQb3okNpCWWeI0hgJh5xPPsm4vQC73EEqfBojOQPvvZz/LZz36WAwcOALB+/Xr+7M/+jDe96U0AVKtV/viP/5jvfve7zM/Ps2zZMj784Q/z27/9269iq5c4mkKhTk/Wp6dTsocQAfSRpU/1UhJTJDGpEUPhUVIucWEROfgoNrzNaM4wZiakEVikR0tc9uBzyEiIF9OwIjaao9D2wAF/iKfXX8ZYaw9mtEF7cR4tNkfDTzLlZGgEMJbPMD9nUOj2MNokXtEAB6SpIFBoRkAsVqfmpdGjLroZIDsVhAK/rtOIwdaqzpPFKLuIUr9BwggwD+igRgATiDZniUoOPJ6rsHmoht7wCZ41ICUQLQ6NjEmpINFSggNVC7uYwjND0itsRn143Iffd4rcmo7j+z5mxOKCHp+hVp/RgoYU0J4K+Oz2GA/8p0EwF0JbU2NEp4SrwqbmaAtNAykCXOhgdgUMK0VcakRVyAHgjw5EmSxq5IArogHv6nfYkDzibREC3rTKoexE2D6uI6s6lqlxeY/H1f0ucRPetNrlnm0W26Y10hGFH0LFEQy1BNy22j1uMH/BKp/HnzPQlCIVg4YNWRFScQS2BxEDnsxr/HRWQ9YEj+w0eHCvwaWZAC0W4ZldGmOTGoElIA5Ch1IDMpmQRLciLwX7ZjW+87TFB29pkHnR8ruXYzC8bF60v5QSK3okqbJSoOk6xdl5APLTc2Rac03Pg3zRQPoM2zExKdmxWyMeU1xyoY9xipV9h5spjrQrmogysGYZU8OTzE/NMz5RwHF8WlqSyFdRl6QUlGyPbORV/Gy9jOdCAumITsn2SS1pkhY/r4XFJK+Fc3iFWNIgLXEyFp2B1Nvbyyc/+cnDSZ/+5V/+hTvuuINNmzaxfv16/uAP/oCf/vSnfPnLX2bZsmX8+7//Ox/60Ifo7u7mjjvueJVbf7Z6pfO7dwtDRSgUP9J9Nh90Lm9UkltZgUeVKebZj4ePRUREuUC1kyGCyzil9Cb8NVG056eIOVWE9Ch3xPG6I2TSJepWFAKBUzdYf2A7pR/G6GWcuVQ7I4lliNChLVbG7S9Qmu+ld2w3OzpvwfUsjH4Xp2jhzehorQFhTSDSiki6hhl3UQftAxkLMQYdKIAWdyjsjzD8TAv1io7o8tEvdLCEg7xA4D9iYo9ECUOJta5O5pp54j01AqERSIlm2KAEBALtpgruwwmcCR2npnAjAvMiRXs2ADwmAo3/1DWunCvQ0tV++HrGLVjT2WzcZE2yZ1bSGFYI00ONRJojsBrIXg8uVYTdBqIeoms+4YDA9iy2HvDZpxkkoiGpDhdZ0ehOBHg6TDckPxy3WJGsE9FgPhDsdHWUhDsutrmi1aYW6HRldVa2KvSDE4JX9vu0xRXPTejsL2iYmuLWVT4XdvmkI4piQ6BLSFhNQ+X6Sz2KZcncjGDvLo3uDsXv/mId0SfYPKazPwFPW4LaRc17U3xaJywIZnqjzNoaw46GkoAHhKBM8COKaijo8QJaY4rBtoB9Mxo7JnSuWnnEY3PGLDgp0kv8WYBuGLR2dwJNzVlpLg9CEE8mMF9mQqRSSfDlr0cYHpUYOlSqDrfcePLrcJyf+eAGTdfoHurFikUozRUpVmwc16O9Lf2qhAP3gqbmKBN5lT1HL6fug2HAU5ZOxfGJGhrGmeRKWuKV5bVwa14L57DEEq8yi85Aestb3nLM77/6q7/is5/9LI8//jjr16/nscce4wMf+AA33ngjAL/5m7/J//2//5enn356gQbS6RglL1XmbPVKC23H6ZY5+9TrLplYSDUNm1H0IlDAZhFysYqwWl1IK9OsJsAiS5oUCZqDwYAyVVlk4oa1JFYYGPt2EN0tKHenaW+fI2ZXiUx7hAq8hED1BaxsOcCW4Qh90/vJlops7diAXZK0T40wa1qUVIrZWivBrE5r7wzVWIK6ipFVczhBFOkHyGiA2d7AmYzjVQ0QChUKND0gpurUJxPU56IQKrTJgGxXiWh/hbBDIFISURQ0ihEYDIl2NHArJmFFgy6FlmiuG/PKOuZKD2swj7srSjRQOL6FY0SZL0TpyCp8qRFaJmGjfsJZZqWauqB8UaGJgMAR4AB5YFgQPmiSunMO7YKAyv4Mfmii5gTkBbWkhaMDJjSEgQolDoKuhE9bJKTqCeq+oKLg/5WjDHsShaBPD7hzUBAtzjeXJgYJ0I64JIZaAoZajtX57JrT+OZWg5GShiaa2qAbB5tR6d55q8Prr3QYntTIpUL6uhWOB1uW6XyyqCOfNQn26rhJBTEFJcmjmOhJUBcBO2km640DLviuoBGBqitZnfOJms2nvmov/hHC0fdYCEG2rQWFolau4rku8VTiuH0OaZBO9nbPFyQzs5LVKwJGxzVGxzSaFuXLa19rVyutXa1Ui1WmR6cYn8iTiEeIREySychLH2ShqPNEc3QaCNE8h7oX4IcQXYwBMJZY4ueMJQ3SEidj0RlIRxMEAd/4xjeo1WpcffXVAFx77bXcc889/Nqv/Rrd3d088MAD7Nq1i7vvvvukx3EcB8c5IpAul8snKPXqanTOjHPV1oUbVfW6S2d7SBCXQIh60VFjKk5MDJ1wX50WAmLo+gTugEtYtDB1l2iqTqpYoPisz7P5JPNBC5FJj4jjw9AcjRvghcgVMOyRqBUp5bqpzEcpdGR4unEV9oEoxMBNmbRcOEfZThFKk6jRwJ0z0VsVyWVFVCDxywagMEKffvZx0cAL6L7L1PJOiiKDrZuUgyTVmSyDQ3uIXNAgsHX8UMfzTMpBClemUUKgXA23JjCTDtIKCT0NLRpgbGggGyGm4xB16lT9JKpq0pe22aj5yKPuQaig6AkMCUld0RoJ6e+rQzyJmhfNN1ij6UVqCJxNMfSMiz9uwjIF5QBsHWWFpNOQalHUyhIzoag0NAb1kKqmGIiFJA3Fz2yD/a7GBqsZYGKLq/GcrXM1Ta+CXWsQBuExy8WOZs+8xr8+H6HiCDoSIX4IDw8bTFQkv3KxTSaqyKQhkz5iVBXKksKsYPY5g/JuHbcOSAk20AUUwJ+mOc6v01zSWAD2NLcF2abheOFGn+DgYbPxsywMfiXmGwQIBPFUEte2Kc7mybQdm/vhYJDFky7T6mwPWNYfsHOPTjSiWLPq7OR8SmQSGFYfM2PTzEzlMQwN103Q0pJ86Z1fLgrKjk/UkBhSLp7udyEIiBkabhhScZphwJc4PSqOj1oKiLbEEku8QizK3nnz5s1cffXV2LZNIpHgO9/5DuvWrQPg05/+NP/1v/5Xent70XUdKSWf//znufbaa096vE984hP8xV/8xSvV/POYhY1AlFJozVRG1EZCRBjyWEyRjkmujWp0hAJfcniJVnOnI9UatBNVN+CIR9DQUOYcoVcmWi0x+1zIti1RqukcF78wRUtoE0go7dfxRx4k+GXB/YNvZKwRQQ8EvtbKxHOt2D+woQ3otSg+n8XsdMj25mk0oqRbbbrjE2TNeYiHDGtDVGeTWPkaXfld9EX2sPHANi6ITTHvtbC9ZxWPRV+H71isb3uEodheklSZsdrZXl+LbgRoQUDJzmBrMXDBMFyErdCkD1IjDCVS93E8C9lQVA4kSa8ucWkww7u1WW71IgiVAmBPTeP+vMGoraELxYZEwC0tLq9f4fAP/QlEVaEaB69fFNDBeSGO22I2o1DM+TAqQPiwQscOBV05qNUlGzM+06FGaEtiaZ/VaZ/xhsRVAiGOhC2XCA5FadVNAzMSoVauEAYBkXgU8aKR+qMjOmVHHJOMNRcN2DarsXla57plx3ozRqYl//rvEfZMakyM6jgzAnJAVEBGQMvB84sB0zQNpBCYpakDmwERByMeUswLxkLJUHvAmu5T5zx66YeZY1+HM301FmBQCQFmxKI4VyAMQqR2+pqkWAx+6T02e/ZpJOKK1StPbSAdF+vyBMbXoTJm1KJnqJdILMrU8CTTMyVsx6OrM3t2tUmqWWfJ9khFjObq/cViHJ0NQ1mAKSW6ISg2PNIRY0mXdBp4gSId0Y/rc5Y4Aef3Kv1XlCUN0vnJxMQE4+PjNBoNrr/++nNSx6I0kFavXs1zzz1HsVjkW9/6Fh/4wAd48MEHWbduHZ/+9Kd5/PHHueeeexgYGOChhx7iQx/6EF1dXdxyyy0nPN6f/MmfcNdddx3+XS6X6evrOwct//nWIM3P1+hM+RRrEocob4npTBPQmPWIFjweRtGWUvS1gmUKUjFx3Gn2cCEVlWFMbCJITTO+bS+NxyqEpYDSyg6u2ztFh1Vl8oI0MeXRXnTR8/tJfH6Grg2beLj7NjYvvwlpJak8ZMDlGZbduJc3vftbdLTOIFzFk/uvZre/lkBohBYoQ2KokLXJLaSCGdrEFJF9c2S37sOYHKd6W44VWpGOkWmq3UneEPsPYskqUdlAI+Bq4zFuMO7n/83/GqGRQjoCx4lBoAiRaGaAFglAgiBEOZLQ1Ygk6lzf8RA3qp/xellnQz1AC0PsMMpE8Vb+be4GCp5OpxXiKfhp3qToC97fFdK3scSozBA8GoIrmwEZOoA8qD0CQq+ZwTavNQ2KPkHVF0RVgLRBCsEN7S5xqah4gnunLR6YM+mM+6QSIdudphWbliErzKC5lA+QUpBIp2hUa9QrNSKxKNpBi9f2YLio0Ro71nujSYjqsL+gHWcgPfy8wdS8pK/dwdypYTTAaT3oPZJAhmYvFaFp6EZoeo9cIA6GBZRhaptG8Uafy9f63HaRS3yhq7/OsQbpdCnNF8i2t5zRPpm04rKLT89APJkG6URlBCA0SWt3WzPS3f5xisU6ruvT1ZklEjkLeZ6OynH0quuNTsRZXEUthSATMQ56yZZ0SaeDEIJFnr94cbB0jZZ4jfLZz36WT33qU+zbtw9o9gm+f+R795GPfITHHnuMr371q/T39y+orkVpIJmmeThIw2WXXcZTTz3F3Xffzd///d/z0Y9+lO985zvcfvvtAGzcuJHnnnuOv/mbvzmpgWRZFpZ14iVBR1jSIC2Eet3FdX32TATEYhrptERH0uNLsAxoatFxHJ9tEy4RI6QvF9LdcuzMioZkOb1k6nvwbBv7Qph7wWfkQEhOk0zsqvJoFXr2lOjpAT0JYQDB/jLysRe4IDOMfd0UO65/D7P+KlqunOWNv/49HjGvZiAywnvl17l+zcNMFDr5n4WP46YMEmGFoemdWOVZ0sMTdM+O0fqPo+g1SSMpKT4eknqXZFlxhNXb9lJIJHn4nVdRk0kkIQEGy7Xd/EbmH/li+deBEC3mo4TCdwzCUKIEIBRShHiugTRCWox5ro08xqA2jBfrYMzIoQeQsvM8n9/HTH0FGzLdiIOJYmOaz/aqzpit8ybH44uX1wkaKdgO9ABZIAWEPgwLsHToOChYMSSUFDu26qzq9fntZTVCS3LvlEVfLCBt+FR9wd6yziWWTzzVzLt0oeWzxgooVo7cIyHASsaoFyrY9cZhrYwmwdCg4R1cB3YUXghR4/j1MYWywJQ2otEgsGPEkoqGBsE4cBFQoek9qoBoA5EDChB2gwwgWVOoUNEeD/nDt9VZ1hkSBFCzWbiR9DIo2YKnJg1W5nwG0me4zO8Er+yLjaOX0iCdK46uTwhI5VIYpsH0yBSl+RJjY/O0taVIpxcQDvxovdGrGanuleSgLmm+4dESW3yJhBcLDS8gosulcf8SZx31CniQ1JIHacEopXjve9/LN7/5TQCWLVvG3Nwc1Wr1mHJXXnklf/d3f8e3v/1tfv/3f39BdZ4Xd00pheM4eJ6H53nHhcHVNI0wXKjmYEmD9OJB7Zmg65JsNkZHR5Jk0kI7yWyoZelkMjGMSIyRvM7O0WOXAO2nwPfUFh5U42xuu4T6unV0X5di4BJJ7fki9QK8eRCuWQMdfRFiyzPEBpN0maBVPLR9BYa+dQ9tn/8xWsyl7aIpHjWupIsZ/rTx/+VWfsoFcjtvaHmAf+m8k6w3T2LfBP1PPUz73AhdM3vQJ2doXGiR++MM0Xe10Vrz6arPExl10PcEBHGJL02SlEhQpkEUD4M2fZaVxi48YYIMAYHUFHrURerNqHKBqxM4BkbEZVA7gGYHTNNH3qgzTZUxWWWfZTIZ9hBTYwhVOHxt4hr4Ckq+4PYug/RTAfq6Kqx3oayaxtFK4EoDNuigCwhlU89TAEoQzkK8BOUxjZ0ljbgekj5ouCR0Rc5QzNck70o6/JeUwzrr2PvjofgRdf5ZVNmXNFBKYdcaQNM4uqjTZ74hcY5yYBTt5qzv2rbjvRo9bR6FkkKPxmhPge6COQpahWayWxcsD5IiRBeQM0JakyEyAqId3B6IRuCttzkMdoUIAV952OIzP4oxmT+L3dtpvhq78ho/2mPy1MTLGOyexit7WIN05kdfECeqL5qI0rO8l46+DhzXZ3KqyPR0aUH11L3wmBwqSywB0PBCooa2tBRxiSV+TvnCF77AN77xDdatW8dzzz3H3r172bhx43Hlbr/9djRN44c//OGC61x003Qf/ehHedOb3kRfXx+VSoWvfvWrPPDAA9x7772kUiluuOEG/uiP/ohoNMrAwAAPPvgg/+///T8+9alPvdpNfw3w8r8+Zxr6V9MkSugUay5+0NQlTagS364/TV42aAtCbL2V9LrrGejTKLY1iPz201x3ERhrJXvXDFBbHiMWaeBO23gDUXq+Mo+3D4qOzdCm+9l81S7ctIGvxXi991MGzGFCKXCIYCmHgcgo1+R/yvx4iEpZmHYDy60z+6BDMvCQV5lEZRL7wtUUGntIThVQEqzQJebXqZpJFBCjQUTZBMIiagrMUCewJeghsVydpN70GlWKBr6nIURAi5FnsLqfuaCNzvgwJoIUJlJoFK0GRliiEWZR3iTCanoRagEYAmKawl2l0b05zuyzejM7a7+CiIBR1TSW2rRmFLj9QABMBKzbGJDOCC7t9/jZdgOvC7L9Cvvg3IIlmgPwUL3IHjjqxywB24RHhRDDEFyQTNCo1qiVq8QSca4Z8BgtS7ZO64d3NTW4YZl7jC7pEDdc6DIy4rNrIko6oehqhCRtaGTB9gRhRHDhSo9SVbBrB5AHo1URr4MVhHQPhdx+s8MHPmBT95pL+Vxf4IfgL2TO5GVqkNa0BLx1lcOKzMsPjqCUIj81e/ICZ1fuc9oapBN5rQzLoL2/k0g8ytieUQqlOrbj0tvTgoDj9VMnaUQIlG2PbHSRe1HOz9XPS5wJr4V7/Fo4h1eIpSh25wdf+MIXkFLyjW98gzVr1py0XDweZ/ny5YeX4C2ERWcgTU9Pc+eddzI5OUk6nWbjxo3ce++9vOENbwDgq1/9Kn/yJ3/C+9//fvL5PAMDA/zVX/0Vv/Vbv3UOWnO+9DLnSzuPJRYzcJw4T+9usKZX8MLo08xFJhBuyJylMFMuaJCLvg3rddcS63491kCJfdf2UombBDvneOYHNnOPlQmEwEhpGA0PYXpE2hyG2p5mTr+KpFslLmsIIEAiFARCQyOkjXkSLR6WbmA9N0n5oTrzP3PQ2yGaryI0D+EW0cOAcjZLfE+V5HCNC/c/x54VKxEypI05DAJEUaNlq8YbOrfgLltGqyHoiAbs9nXGbclupVEFjJiP5Ti01gpUYjnmyLFrYoiIn2FVaore1B5WRycY9TrYXs/SKQVeKJh2JZelPIarGvfPWrzx+oBGUWNfVcN1JZRpaoV8rekbTglYrmAqxNJCWnOCrtaQgc6QfE2yZ0ayK6dhqOYKvDYRYjhwR7eD5KjB8lGPVgZJN01t2ZDSkVIQSyZw6g1q5SrReJQ7L1Rsm9UZKUoMDVbkAla2BCfUDmRTkl99q2L/WBk9Knh2u87dX4rR2CYZKIZcMeBxXbfH2KTkPwsGBwyN5UMhQRig2YrLcx4Oks9vjZGxQi7v9njXNTa+L2hJvQyP6KFXSRz786V24WC5pKW4ceBl5l86WJkQglxnO8XZeVzbwYy81PLgl88x53aS6HjiRGWPQgpBujVDujWDXWswtnuEHTsnME2Nnu4WYrFT5HRS4IUhDS9cnJqjF7PY27fEwnkt3OPXwjksscRRbN26laGhoVMaR4fIZrM8//zzC65z0RlIX/jCF075987OTr74xS+eg5pPNBR68e/FYoiczvT2YmnrqRBYloEnJdtG60w/sYvYFRHq7XHshk1YyTLQvY7abILGaJnWji58qkyW4nDPBPufh1LJx/Mk2AHVSogbj+Fc1I32rnX0LStgRibIGLPsYSU75QpWqr1YwgEUdRWndEARG5mh/swkhe+MoxUDAr8peyERkmg0GN7s4cybdF8KytFJjteQTwUYcY9KNoFyQ7QpD/OnOn07dkPiAI2rN9L++teR0eK0ipD9MoTWkGE7xKsbRGd1ki0OXkawPxjAiRoExQg7Jtbx+tDnNm2adyV/xs/cNzAcgC4Vb2hxuLnF45/3R0iZIf2xkOs2euSftpjzFGFdQCiaEe1yNHMFZQT0aJhtgjDhs6bVxzKhRYQ8PqfjuALXbM7gjymdK+IeYQM+9XSMUMGF7T439rnUw+axM0jeoWJUCMkQUmSeUITE40lMx8KuNzBMk0u64ZLuU9/9MAipV2uEoURLphmd16iGgq7OkM5cAL7gHSttOqOKy4cUF77Z54cli4ipmKxKZhzJtqLBqlwzl1PeltyzK0LZlrx9jXPqyk/+SJ7q5+nsclYQAjJtLdTKFTynaXDF04lzq0E6xQFPWd9RsVaiiSgDaweZHpkiP51ndGyOttYUudyJczrZftPT9nOjOVpiiSUWFUtR7M4PwjA8jVgCTcrl8mmXPRUL/ir5vs//+T//h3/7t39jx44d1Ov1wxElnnvuOf7xH/+R3//932fVqlULbuy5ZUmD9GphGBoyESM6YpIrTtNyUSfVXbO0t/YxcSDC5ENfoz47RzpsY6A2jPd0jcp2m0JBQ7NDjBD8pEVtfR/uqlY014OxMtmLZxDBVvbsuAQ1KHlQuwlHWCxnP15osm+mE+3ftlB6eBZtdxHDBNdtLmNb1Q8xAvyEztCAy09+mmDEzVL7pQ2sf3wTLY8dQG1vYAaKsKJIxASNaIKBFQNYW3cx87++hPe9+5m49mL8qy8ivXqQt2YkbsNiSsXI9CZpySQJnBiz1RztyRkCq87M2Aqmi6uIZ2Zpi06xot2jojfQhSJ2UJphSYUbNu9voAl0ATFdYOsHl5W5QANIAxZQg4ojeazLYDIT8g7DITcnKSvB63IeqYyi5ksKPowWNT6/K0J7rJlz6Wv7I/ynbaCZEsPR2egLrou7RIwSW8V2yhRRKKLE6LeW06Z1Y9cb+L5PPBk/6T33fZ9aqcpkPcm9zycZmZMEoaBag6mw+TFZ2RlQTwu+OB4hrYf81lADvQBPzhsUCopaTVBTAtC5od+jJxkSNxRPT+pc3uPRl3rpNXY75jS2zupc2ePRexrlXy6+51Ov1Ejl0icv9GLjTHAwJ1LT2CvM5sm05k5U9JxzJvWZEZPuoR6iiRjje8eYninRsF16uo/kdFIKqq5PRD9L0dvOh/mg86GNSywelp6XJZY4zODgIHv27KFarZJIHD/hdoipqSl27tzJFVdcseA6F2QgNRoNbr31Vh599FFaW1tJpVLUarXDfx8cHOSLX/wiuVyOv/zLv1xwY88vfl56t4WeZ3OBkqZp9Nz8C8gffJfGV8bpW7mKjmuvo7z1BSa3z7D2qlUUqyX63BbwfIolH23KIemCkYGwxaDzwH7m2wR5PY24bz/KBX4/ybrS4+zYfQU/67+G4Wg/bY1ZYm6d3EiBywpfZvNMSF2DwGum31nbC6svgpoWUncUjVKIJmF8R8De6krE3iLpn+yjZkHnShAa7NuncCrbyaz8BjQyZJEwPk90017YM037e+9gYP1aWqM6REOmMXjSbyFSdZGhIOnFCAwPX5rEVYAuR9CsFWCuJiWb16ioFGVgVavHcF2yaVZj25RGf09IYUoxrEv8OdEMkV08eHk7aHqUahCUBcOWyQ+W+2ycUWCBowtazZDAC9k9b7J9ViMxqdgroKstwOsWbK1Kbsw0QCn+vWiyo6Z4XfsupFkkQxaBpEaFfWInUT1BKpHBbthUCmXi6eQxOXKUAs91qZerlMIc33oyRr4qGeoIOCRj60qGHJiSYAj2TOvIjmZeJinghg6PK3Mef5OPkY+HzNabka0OLQ3LRBRjFY0DRe20DKSHRw1+NmpgaorelHvck3kmT/aJ9Dye41AplFE0o+3NT7pITZJuyTZDPctTzywKAVbUQikwTIP81CzZ9haElGdPsH4OshNoukZLVwvRRJT9W/dRLNapN1xyHVk0TSKEIGnpZy9k8/nQ1Z4PbVxi8bD0vCyxxGHe+ta38olPfII/+7M/O2XMgY985CMopXj729++4DoXZCD99V//NY888gif/OQn+aM/+iP+4i/+go9//OOH/55Op7nhhhu47777zlMDaSEjh1crCO8rzULrPbJ/YmglQ//1d/BrVYxMDqnrxHt6iHV0suXR3Whda9j49i5yW7/B5Ihk7W2KaDpEheB5NmZdsGLLbsbSaXa+YTlWUMHbVSS2MsWy+A4aKkdcb5BNFOjyppDLQlK3DPH29B7Gt0BQhJ6WptGjOoEEWPWQal3hVWrYqRR+QRDLz1OyoTALUwdA00AFEDMDwsYechsvw+zopj43T2dbB36xROKRTbSsXX9Y3xLBxNSGyCRGidllpsMQWbfAbXBx6lGM6ACu/kZMGWdGBTysAp7xDEY9jboCs80lPq2TNBWXdwQUUzpfqVnYk6K5PtClqUlKN88DgBr4McFY2SRI2LQ68PCYwdaKZM4KyGshnq+Yn9HAluz3Jamk4uKUT70s2DZvMjZj8MOqzreiF/POddPcdtE0lqFIkmaOaQrMkpZZIrEoDlDOF8kcNAbCIMSxbTzXI92a40c/s5guaazv9Y8Z7Pf1hPT3hOSrgqlRyZsHXVa0B2QPRttTNI2PtS0+QylBYU7wzDad3vaQztYQgSI8TfnRld0+lgYb2g9G2DvqVTpZYIIXc7QG6RBhEOI0bHzPJ9fZdkz5MAgozRcQUhJLxACBGTFPWZkQzRxEuc42ZsYmae/tAmDWEeys6WSNkHWJ4OUZTYf2ebndyIt0W0faLIin4qy6ZA0jOw5QK9eYHZ+nv7eFWMxaGgAuscQSrzohgvAcd0bn+vg/D/zhH/4h//Iv/8Ldd9/N6Ogov/7rv45t2wDs37+fzZs38+lPf5r777+foaEhPvShDy24zgUZSF/72te48cYb+e///b8DnDDD9dDQEJs2bVpINa8QSxqkxYAWjaFFj+RSiS1bTs97fxlnbga9p0h+4AH8/NXEO39MtF8glYbWCDAsKHuK6FWC/p+VmNs5xZPLriS/YgWkY5j1Ouvjm2nXZ2l3ZmlXM3hpk/w1WYaKES7K2AgfhA5hGsJemtqmuZBGHVwvpNTZTutEg+WNfWyV4PlNr4bQQGoQEYKg4aP8AkLrQIWKMAxx2lrZPTbFVLFIIpNiJZK0SLBSLGNPXLJGL5KvhiTLOhd1T3FB9lIK+Raieis7avv4V1Pws3KO6ZrEDgSaAMMUaG0ekUsCitEqzKcJdhroFRst7+Mk483wcYdG74pmNLsiuK5A9oW8blmDTWWNzbMmMhtiCge9y8MXFsFYDLtTYtuC6VBQakQYGzWZe1ajXoTJeBd7nmrjyZ0Wd/3Sz4iQQAA+Tb2MEKAZOrqvYzca6KaJXaujaRqpbJqpgmT7mE5P7vhB/aGfuYRiIi+pzgk6+454g6IGLEsHPDtl4OYFO/dqSAGTs5LLN3oYEroSp7dcbmOHz8aOo8KPnwUNkt3wmBy3icU1OrpSx5XXdI1sewthqKhXmjkcPMcFweGcUqdDI4B/2BVlT0WjK634pT6bjanTSxB7WidyFC+lQToVpmWwbN0Q0yNTzE3MMDw6R1tbitaW5Mts6BJLLLHEEj9PZLNZ7rvvPu644w6+9a1v8e1vf/vw3w7lTVVKMTQ0xA9/+EPi8ZMv8T9dFmQgjYyMvKQbK5VKUSqVFlLNK8T5pOs5n9q6cKJ9A0T7BohEfoBhKiqRPLrmIZWgMKIIipBdZzF72SqGY4O4G1NoU3X0GZjKd1FPdpJMFGg3anQ5MzTqUQIMIqFLvSPJ5ptXs+HpnehVHz3tI+Lg1wW1rQHlcdi9T2cu04FY083bnvou/XqZai9MzzeNJN2EuAUyDAkCSRiU8epVfMviuUiUfKOEq9tMmWMEWCSUYINK8gaR4UqRwbM8pitxiERY2xEgUCRayhT8x7nPUPxH8XLygYlt+YR+cy7K9sEyA+oJi23TFuq5GsYOA3/SI/ANRNVBSQNSGsRkc4SrAQ4EXkg+FNwXVVTTPlZVEq+G2BVJ4Bu4cUXDCwnvF5AXPK/ppDKC4pyO2gd0gJqFqqfx0NMDXHbRc1y4YR8aFgkupEGJPKNYZpyM1odbdyjPFRBSkDiY+LRQE5Qbgt6WUxsyMQsmC8cvQ7uix2fHvM7OGQ1Ng/ZsyOisZNeMzuvXuSzPHh9muzRfIJlJn17o6ZfJ9q0OP/yRy1zeIBrVuOQSnzfcohGJHP8+SilIpJMopXBtF1AU547ojE7E0cbkU+M6P3nBRIWQb1HMd5y7d36hR9YNja7BLmLJGCM7h5mZKdGou/T1tbz0zqfD+TAfdD60cYnFw9Lz8orQDPN9rhPFLt3Is8H69et54YUX+MIXvsB3vvMdNm/eTKlUIpFIsG7dOt7xjnfwwQ9+8KwYR7BAAymZTDI7e4p8HcDevXtpa2s7ZZnXJj8vvdvZ0SCd3jF0bGOK6PJp5AoNkgLtgjjB6g6GVw9QjLYinQhmXaO2P0610Q79Uebmc9h6lF0tDvnZFsQjGvGgyutufJg+Mcajra/jy4O/zJsm/p0rKk8Ta9QIXQiET8EFY3WKCy+RrIp+j0TRw6nAQCdMTsNssWkgoaChIJ5ThI0SeX8vM0NrqJh5UsMHcN9wKX7cxFMwR8BDYp5RCtxEirZ8N197IknDFbz74joX9VRouN+kYj3Pz5xfpq5BvaFj740SjGhggJb0USvqmJEG2+9Jkp12aG/3GV0lCeugAh3mA9imYL0OUdl82xsKoRTzm2MUNUEYCxGaQtoCveYTr9Rpm6xgt8ewBy28kkmtnqDg600t0zBNT5QJeBK7brB/pJOudVPEkVjCZEy8QIFRdCIYMkIq0YnUNOxanTBUSCmaS8bEifPuHPN0KE6oU1ndEvCutQ6lecGT2wzmxnTaWwJuXOnwzjUuL7aBwjDEcz3mpubQpCDVkkE3jFPXfZpPZbOdiomxBl/9qk+lbtHTI2k04D/+I8TQ4bbbTt7VCiEO64x0w2B+apZsW8tLGnK1uiQSQAWBqitWJV5m7qVzoEE6EVJKMm1ZkpkkQRCw+7ld7Nw1gRCC5UMdaAsxXM+HrvZ8aOMSi4el52WJJY4jFovxu7/7u/zu7/7uOa9rQQbSVVddxfe//31KpRLp9PHRmcbGxvjRj37E2972toVUc57yWundXmr0dPY0SC/VBtcfwtNnSC73ke/pphZLITIxpBEhisIkTyoWZSrTQaxDZ9B12BeGpNorFKZamS134LkR+txxxsb62bVlLeMbe7h77PdpZOJ8q+/tXL/vAa7Y/hyZeoliV4rnb1/FOzt/wLraVrIlDZ0Q/bEAzYYrLhNs2qrIFyS6FpJsAatXUhyRzMYMGqKKHN7FzIZO8lekCOpj2LFefCykEuxTARHmGJABbrAc19UpFyvUM1uJpkbI13sZD7uwfQ17JIa310Bf5SLjISoU2FNRgpk63piibXlABxpjXhqnIsEVkJYwFcLeAC6XIELIKLyaBhUNlQiR0sefMlANDUeY1MwIWjZDqlHDrRtYPTa64VCcaYMszfDhwzTjgjdAF4pps51HnOvRcIlqknVmCEgUIUooBIJILIKma1QKJSLxKC1RSTZuMV8VtJ0kX1GooOHCYMeJB/4Xdfr87zuqPLjOoFyXbOzzWd1+/JI913bZtt3h0Rf6KJY1BnoDrr1olo4OHyElhmkeE0jidJ7MwA8OR+uEZpS6rVtcZudMNl4kkVKQTEIQwLPPKm68UZ3Qi3RMfaK5/C7X0crs2BTtfV2nLL+8JeCaTpc5W3LLcpeeyMuMwndMZAle/it9GvsJAbqpo6Oz7or17N+2j2qxys5dEwz0tRJPRF5m5UssscQSZ85SmO8lTsaCDKQ/+qM/4qabbuKWW27h7rvvPjxgqNfrPPbYY/zu7/4unudx1113nZXGvnosFm/Qq9GOxXDezTbYKkoZi5o2hNtnUBFRbBHDx6CikjSCCFEaZPQCBT1NXLdZFY7wQGUFdixCvRTHqPto2QB9KsB2Itw7cxu1aJxYd4kwDPi2827u6Xo3ll8nzEqChoZXjfGh2D/S2ihirAVyEn8bpCYlGzZIRn1JvdxAeSGi3WTrLbcwNzSEZSlUi4G/Ooe0NFB5rLCO1WinbuWYExqFIEo2Nse1l5q0Vlu5bEUcoUVwQkWDNgIpsV0Lf9xA6/GRiQBVkKAJlKVwn7HQWwI8oePOm/TrIcNJRaMsCasSIhLyIcRcUu1QjiuoashkiEy6+Psi4Asoi2aS2ZgimDUo1HNghNRbIyRX1xB+gLK1poFUBWpACtJpH9EdRxsX5J0IP4pn2dB7IV1aGpM4KToP30XDNEikkzRqdaIarOnQeXhPklwiQMrjn7TJgqQlGbKu98S6GgVEDLht3fGJWWvlKko1Da/5guRHD3cwk5fk0orHnjGw7Xbedds8UvpN/Q8QjcfQdO0ln0bXdg4f/1ASV90wiCZS6FZwjLFlGOB54J9KGnT0a60ABLFUglqpSjx9RJOkFNTKlcM6pVVtAf/tmga2J+g+WyHKT/K6v1TPY7vw2DaDmYKkLRNy1VqP2EvYOlKTDK5fzvTIFDOj0xwYmaO9LUVb21G6rRc7mBdLV3yuOBOH+muF1/o9fTE/D/f4uD5tiSXOHSMjI/zbv/0bExMTXHLJJdx5550vGSH2dFiQgXT99dfzmc98hg9/+MNcd911h7cnk03xraZp/MM//AOXXnrpwlr5qrNYerLF0o5Xh3r0MfIyhasEDRlSJ0WVJAEaCoEnDcqkmVUdxEQdicOAHCFjzWA6Hv3GMHURY3y8j1w8T9vKafbaQyQHihBxKY1lkRt83FkTdybZNBo8yX2lN9OzdoJcyxyp2Qr0SlQvBA1wzAgrwjL6QzYMmuxfPcSOdW/HNFziYR1P6YShIGnXMIWDY4a41hSxYoiX7WDOsFgtA/TeOpcpDR1Q9CFUBy1yggQ2SonmUrNoCI4AJcBTEICqQqLVpcdKMpiQHCgqqoFgLhoiW318S2HOwEV9kp0tGlWhUL5AtDYItkWhLmCPgANARIEtwRTNnkHXUBMa5TEDWkXTa5QAUkCoaM3V6F5TYmq/ztiuDLqwGE0nePSiKL98UQaAbbMaW2Z1lmcDLu3y0XSNRDpJGCquXeMyPFNl21iC3lxIJq4QAhwPJgoaQQhvu8Kl9SQepkNvQ2E2DzS9Nbv3mASB4MKLdEyzWSJfjTM9p7F2pY+UEIsJ9o1oOGGCtqzCdVwq+SKu7SCO6lTjqQSmZR55/qp1nIaNYRrEkgk0XUM3jnShfX0hiZhgelrR0SHwPMXklOLqqySJxCne3RfHW1EK3/WIJuIUZ/Nk2nIoBcW5PLFEHDNiHfaStcYVr8QI5FQ9TxjCdx+xeGSLQcQE24PxOcn7bnbQXsLelFLQOdDUJh3Ytp+Z2TL1hstAf+uJKz5ZQ86HQfbptHGxn8O54OftnE973e4ZlF1svFQMqUVEU4N0bhu5pEFaOJ/97Gf52Mc+xp//+Z/z4Q9/+PD2xx9/nDe+8Y1Uq81JSyEEX/7yl7nvvvsWbCQtOFHsb/3Wb3HDDTfwuc99jieeeIJ8Pk8qleLKK6/kQx/6EOvXr19oFUssgSNL5K1xUBpKgE0cH4NQCRSKBFWW+fuJ+g3myTGjd6B0RUMqLjReoCc2TX9klEaHhSsidKRm8FI6TIWoqMK2EzjxOKm5GunZWeq1OLLTR7WFYMEWbQNjoo/O1imMwAMJWjQgWakS82po1xsU0jnu7bkdW7NIqxJzIkdVT4CSFFSDjfYLZBtFpqMdOGYJ4bfgmRoJLPI0mKVOFwkEWXT1NmL2E6yOBwxHQoxOD7+qYWQCBCEYQFURiXr0Jnx6N+5hKFdlcD7FJbv6uT8fIzShVpLYnkBTglhLiDai4XkKrawIHAHTArbR1BXVRNMAihwl/DGBhGh6jVxgDswOuOAKlzcP5vn6j1KMPhnDCsGISVo6Qx5tmNzU65NJKr6902KiorF5JqQ7EdKVbHo6du3TqVQN3nOtw33PFBgupxkvaIfzHfW1BFy/zuOSoWNdL0qBCpvHKMzMA5A9GPjhJ/9pcu99FkEgGJ/2eM+7mwlWDV0hhML1IGKBbTe3GU1rFNMyyXa0HrYzyoUikVgUu9agkj8SYCaajJPOZRBCIE6wJG9gQHDz6wUPPKDYsjVECli1UvD6m1/aK3Xo3MIgoDiXJ9vWzHWkmwaz49MAtHS2ITVJGIQnNInOam6kM2C+LNi8X6evPSSTUJTrgu0jOjNFj66XCMIBzWV3qVyadVeuZ9ezO6hWbXbummDFUCeafpofuPNh/HE+tHGJxcPS87LEEoe55557KJfLvOMd7zhm+1133UWlUuGaa67h8ssv5+tf/zr3338/X/3qV3nf+963oDoXbCABrF27lrvvvvtsHGqJRcdimMZS1I1xPDQUEWwRUCVGkQytYp6hYD/9tVHqTpxn7UsZtvox4w4xVSWjV/HkNC3M4UmL9ewm2gJ+oBPOQyzWwFMCO4wSt20GKyPsry9DrHPJtRfokDN06RN0aDN4yqCQz5AulMhVi0SpY8QC3GScsVg3D2evYo+1gpjWwA4jFGQWXxlIpWiIKE9FLufW6k9wvCLzlgUERIAIGjUUDY4sFZN0kmlcw+tSGbZHA1hRpbA9gV/UkckQXQvp7q+SWCZoaZ8k3lUkDA2CgQnadbhyywq21TXCsqKekVTTgg7Tx7YkBS9E5QV4ArYDdcCnmTPJU3BAgR80jaU00K41vVaAHoFs2sbvbHDvM2lGfxpH1SR6HKgrGnMaz80LRq+TZFMBuoAgBF0qtIMJb/ce0PjytyOUK4JfuFny62+y2XNgiryTRDMMklHF8o4A0zjyBLg+HJjTsG2XnF4ibqrD+YUOGQXbdxhYEYhGFLt2aTgOWBasWBZwwRqf57fpCCHQNMWtN7hk0kfMjKNnmtItOYSAXaNJShXBFRd4mOapg0mgmsEWbnm9zrq1iokJRSQCK1aIl9QeQdM4cm2HRrVGrqPtcF1SSnRDx3VcPM8DD4qz+WM8WwCu45JpzaJbEX7mC55yICYdboy6rJIx9NNdA/8yXndx0Kg9aLcShs1DnMnknRDNJZjrrryAfVv2Ui1W2LFrgoH+VhLxyKvfBS2xxBKvSZY0SOcHO3bsoK2tjd7e3sPb9u/fz+OPP87atWt56KGHEELwa7/2a2zcuJHPf/7zi8NAeu2zGIwEWOwapHrdRdclpnm2HytB3ZhGC+PUVYxhlWGeFKvEHlYGuxkqjzJZ7OYfZ36D0Ww3K4K9tFbylKJpoukG8YgNwqTHGEfUouD5SKEoR9P0y3H2BN0EGCwPtjFR6sfrhGXpCS4ynmFFYi8x2UCKENfRSbTUGcn0s3d+GcVYDkeauLpFKchQI4ayBXo0wBYWPiZG6CJliI9BQ0SZ01uI+XVkJERTgkEBh8bPJ/IK3K7pPAZYmYD6lfNUCyaaEnSlAtojGuYlgkK5jjGbQI/ooMBNl1gX9wkbiuddjfQtAbV2gR2Cn/bRA4k3KyEvoEjTe5QGYiHUFLQAyyVk5JFsqUEAnkZo+dTTLjN7IbgvijJCIisDOlyJGQjmCoLZcY3REY3XbfB59zqH3XmNvlRAe7x5hp4PtiNwPYHtgKZJMokUO7b49Ha7rF1pHXMNGi587YkIL4zpVMshG5f38F+uskEce8VWrwoYHtao1+Cqq3zMgzZEJAL/5W02q1cY1OuC1lzIRetf5JniyJMuBNTqcM/9JvMFSTYVsmHVS0SIO+o16e4WdHef/nujQkWtUkUI0QzxfdSuQkCmrYVauYLnuNTKVeKpBPFU8hiDrVqqMJKf55u5dr5Y05nfpGFP5BhcW+avLp3gF7QuDE7Dk/UyNEgtKcXFK30eesFgMt88yHUbXNrSZ66LEgKGNixnemSS6ZFphg/pklpTp5+593zm50Gf8mJe6/f0xfw83OMlDdISZ5nZ2VnWrl17zLaf/vSnALz3ve89nId1w4YNrFixgj179iy4zjMayT700EMvu6Lrr7/+Ze/76rNYerLF0o4TU6+7uK5PNhsjGjVfeoczQIkApUwKqp2qMFmndtDLOF31GRKNGt+ZfjvS8fm7p/+QFQe2MzvloZI6wboM+2+6gOHsejQ3jhP2IB0HvRbSokX575HH+RP9FyhpCmELqm6Cwc5tvLvzG2T1ErrwCRE0iDJq9ZKxS6wd2Y58vsyOZZfzQ/lmItEGMbNG0KrTYs8zlerE0PyD7ZagmlPqQoEZegSahiZ12pWgH/DnphGqjFUPoDd9zNR7h9D4DV3js3XFnO7S3RZgAS2BSbIWodwj6U/oUKgznY8RiToYcwnyewSWH/JL1wZs69PZPeJj5RRWm8HstGBWAlMKLAEVIKWgAOQErJdN71ER8Gh6lyoa+KAccDaZ+NMaYkqSWucj9JD5qiDakOgGGCJkbqp5DkPZgKEX5SRaNRTwi7c7VKqCyy9ses1+9qjF93+YZHDAobtzhq6+zOHym4YNHtsZsLZPILIaz+/3GWgxeMvF7jHHveUWl+7ukCCAtWv9YwyIWBSuvfz4YA6HePGbFY3AxlU+8wVJT8dZCoBwAsIwpJwvEUvEDgd8OK5tgoP5ksAwzWM0SIeQ6Rj3x+p8y61g5et0W1COZNhzby9f6yhwwUCRIV5+zqFTxrEU8JarHHpaAvIVSTahuGSld0YepBcfr6O/i1iymcti/9Z91BvNez3Q13rinc6HQfaSBunE/Lyd85IGaVGx5EE6PwiCANu2j9n28MMPI4TghhtuOGZ7Lpfj+eefX3CdZ2Qg3XjjjYettDMlCF5mjo4lzhtyuThKqROGTF4oZpCmpo9RJUZrOMsyDmCEAUm3zpTdwUyplb/c/KfIZ0d4eBd0XQHJjGJqbQfPRtczN5egUW5w03M/pX/bBIk5Dy0wCNrbGLp0O2+89n/QEBYxs8r7er9CWq8iCCmSxCEKKGQ9YHJTK6nxIq2NPFeNPEwpleQn3MZ8rBUzbuM5JpGCg9XWYDZswyZCIJqdY6c3TULVmIt0oIsoG5C0jR8gP7GLtOPS/tyjcEUZrjx2MuHKCMSV5AflBMO+BATC19B1uDHlc1FvN4/PjzA2W6cynoYd/axcoejqhSe2mzz2HbD0GFpKsewmn4s7Qr5R0KnPcdB7pGCKprEUo2kc5QFbQVHBtAJfQVqhWjTcpIHhKMKqpDGoIzSFOSaw6oKOtgC7JiiVYHpG0tF+vHEhJVx1iXfMAKCjPaSvN6S3V5JrT5KfmiPTlkNIweRkERUkUXaDaDJOJqkxOl6Ai481KHQdNm48Vbi4E3CSQYiU8NbXu8f/4UXsqGk8WTLotEJuzLqYp7uSTUHg+5TzRTKtudNKXisEWNETG1FVAuZ1SIRlXE/SqMTILCtSHs2RLxi4A/YJ9zuaeVfghIIWI8Q6PdnUYQwdrlx7htf+FDR1Sc1oduuv3MDOZ7fjewE7d02wfHkHuqadV4Mw4Pxo4xKLh6XnZYklDrNs2TL27NlDsVgkk8kQBAH33nsvkUiEq6+++piy+XyeXO7kCddPlzMykP7sz/7sOAPp8ccf57777mPVqlW87nWvo6Ojg+npaR599FF27drFG9/4Rq666qoFN/TVZ7FN5yy29nDQMDo3bYp7PVSMfbS6B9jgPoSI21RVAj30EVrAzeMPktk/wnd/CstugNkJ2LZ2kOfmriJ+32Zu3FhiQ36OMDSZW5nEN0pkd5axXiix7sA4f2e38smLf5Wb+39C1ioRCI0iGWokKZOgHKTI1gu05WYo5rKYow3iUxP8Qvh9BtP72CXXsF8uQ+sM6TcOcEAtIyJthsNl+IFOJiwzxDCVRA4pkwyRYpXS8Ef3UUsZrHESmKYNLzwNF14GenMgrAjIs5V4bA+/GBFU3PXUvXUY+PRbIZ1GCGTp60jgtHswZBJeqaMbAf/2TY3ZCZ8L1xsMo5gbF7iP6bztfTZbZgyeNhRe46AHKaSpSRoFemgaR3MhVBRoCnJhM7fSfACGJOyQhIA9Kgivk4R3KPT9MLJZYs7D9h06n/knyRtf73LNVU3PTd2HWUfSGw3RZFPWdOhpueZ1HqtW+mQyCtPUMNtbKM0XiCZitMcdMpkO5rwowWSDhi/p6XGAExsLJyIMYdeERtUWtKdD+tuahtvRbTga34dyVZCIqeZSvRO8bvUAvjNjMelqyIqi1Qi5JHXQc3iKBLgqVDi2g9NokG1vPSuBFXIYXITFM1odp9UlmDUIHUEkE7BmoEqaxEn3DRTcN2vyeMHADQU9kYB3djl0v9y8SmcZ3dRZd+UF7N+6l0qhws5dkwz0tZJIvMa0SYuvS1/iXLJ0vxcFS1Hszg9uv/12PvWpT/G+972PD33oQ3znO99henqaX/zFX8QwjgiWS6US+/bt44orrlhwnWdkIP35n//5Mb8ffvhhPvGJT/CP//iP/Pqv//oxxpNSin/6p3/i937v9/jYxz624Ia++iyGB/wYpcQrUMerzZG2RL0Oku4y2oPvEzeqVIVJEOpojk9bOMe1zsPMAP03NxOMzgUWB3KryH77GdZe04DnHF6YVpi1GgO+jy9CSvEIqYaDMeny+h9+m80r30nbmscIhaRGjFnamaCLybCbRhglmm2wNbuBbG2OG5MPsTH2AkPTB7h0cguXOS+wOzLIE9EriLo+6/MHOJD0aIuX0HSFEiYIE0mKCFkGSRGgmMoY9M7WGSrqB0fUxy7YLrOPefEMkijIkHjkcVZYJkmWHXOVIhiYGDyy0+DhTQalssvOHSYbBqHTUOTCkFonuOOS2JzE2ivotBUT3sFodlkgSjO/0QyQEdAnof2g96gkmyHG8woaEBiAIXAcwBFoUSh2g9IFq58PuORCn3xB8p8PGlywzieRVPzrcIQ9VZ03dDjc0ukd6wAQ0N5+5NyFFKRbs9RKVVa1Obwt5fDwLgPfjHBle5nrV4nTXsofhnDPUyY/227i+5CMKd5+pcMly/0T7lsoCb7xY4vRSY1cRvHON9r0d5/YWGg+oerw/48+nxO2JQipV2tIKUnnssc0/sVv3onexEPbDv97sFJdCN4k0iSEyTdzeXavr1MtpHnd+hk+mLHoIsXJ2FTS+Y9Zk1YrJGeG7KlpfGfK4oP9DQ4FkTuXvcKLz0WI48/zkDZpaniK6ZEphkfnaGtN0taWetmrGhYdZ3Iai6mbXuIIZ3Jflu7fEkucNh/96Ef57ne/y7333st9992HUop0Os3HP/7xY8p961vfIgxDbrrppgXXuSA1/Z/+6Z9y++238xu/8RvH/U0IwW/+5m9y77338qd/+qeHxVRLLIRXokddTAukjxxfotHS2EgqbMfWRlCEpOfKxCdsIq5DV98ctRiomeaAuCUFamIP0af2UtO6SE7WifkBXRmX7AqNoEej0ZAcGFmJPZMmIypceuBLzF9sY2MwTwsTdHMgGMTzdXLM4/lRZr0uplUP47kBDoifcf3kQ1xg70CrevSNTRKo7ezs2IgRBqyqjTKS6qXW0oUWSQERBBFyJGkQUNca9MV7uOyhR4lWbNB0uPpGiMSaUeQAm1kUgshB/UiNEVyKJ7xKL+zS+d6DFjKsk4jrFB2LZ/eE3NHlslJTTFUkKhHSmBQEI4JoD7QKxfQWAQ2aWiON5q3VAE0ccbHEVNOrpMnmSLYkm8vzEPAU4EGqT5FYrxjUfWJRcBxFrS7w/KaXouxJiq6g4h01kcKJnyIVKorzBQSQacuxrjrNlW9q5gPSNR1IHlM+DE8eNW1kTvLYTpP2dDPX0oEZyX88b7Kh3z8mUt4hHnrK4IUdBv3dAQfGNH74U4vffn/juHIxDd7W5vBE2aDTDLkgceolZoEfUC2ViSbix0Wh4wTX4UTX5cXTI0fbBgLB9VqMC2SU7e4snYNZenWBKU69fG/KaXoD28ymhdIXDZlyJEVf0Hpw20sZbqfipcqf+FyO/fcQnQOdxFNx9m/dy+xchUbDpa+v9Zws613ULIbTXWxG2mJoz6td/9lmMVzTc8ySBun8IJfL8eyzz/L5z3+e3bt309fXx6/+6q/S1dV1TLl9+/Zxxx138M53vnPBdS7IQHrmmWf4vd/7vVOWWbt2LZ/+9KcXUs0Si5JXvtfUiEL4dtqdEZL5F4hPVokH9WYghZggVoN0BA7sAq1XcSV7mVsL9ZpN20yRzk6BvCGBSoFTtfhh/M0Ur8sQCg3KgmTKRUofB4saceZVjloQoyOcYcbuoeRl0KWPLnxc1cFPEm8k2m8jXJ3xRBfd5XHW50e4JD/N/o5O8pEImXGBoaJUezNIJCniJInRSpxBlaGrby3mG3qgmIdUBoZWH3fOCp8QH1AoFJLjB9dKwYFxQbXU4OINBgjJxWtdNm01eG6rhmU2dSLX3+TyxIjBijafnnbBzoaO3QalmmzmVooADs0PowfMASYYto03a4EJ+goXvc9HBYLggIF/wEBPKDZs8CgjmdI17tsm6dcCrr3KI5dtJoB9d7/NaF1j/cFlaBxchua6sG2nztQ0xKMhPa2zZNKKTFtzDbGQgnK+iFAh2ou0OkEAP33A4JlnDOIxxa23uqx6UcQ52xU4HiSjilCBVDBbFDQcgamr4x7lSlViWYpMSlFrhBTL4qQG2LpEwLrEqfWVSoHnutTLVVK5zGnpjRZCVgiu6mwlPzOH1t7KSwWvi2uKQAn8EHQJZV9gSUVUnjpB7+lytnuKZDbJuis3NHMm1Rx27Z5kaLAd09Bf84O5RcViu9aLrT2vBV7GNVUKio0jAXEqjZMHx1liiTMhlUpx1113nbLMX/7lX561+hZkIJmmyaZNm05ZZtOmTZjm2Y1o9uqw2KZSFlt7Xhl8M4ey2mmZbWB6NexiQGEW9KginYJMAO3LYGavi5aBvg0w9+9FWhohMz1RcnGIOh6PXnQV6f4C2cgcoh7ibI0wMb+Mxv2dVLMRnI4Y5bYkEWVTcFqo+CkSRuXguh+BKRxCJdmRXcf18mE67ANM61kK7iqu3lbn+n1F5uIeVRmB3fPE/8utxIUFNJO2JoWJ4KB35pBRdIJbmmYlDaapMwEIkiwjyeAxZZQC13EIHAct0oIiQAKpFFx+kcd165sBEWSX4rthhIdiBk5WsKris3x5gFOG+rDEa6E5mDZo9gwxmslhiyHehAVxgXVNHWONiwoESIU+6CGetqhujbJtv8E1qzw614RUK4J3bHC4+kLvsGegLxbSFzuyVE0J8BzFv31T5+nnDFyn6cJauaKP97/bRmpHyrZ2tzMzNkVH37GzRZs26fzoRxaJhGJ6WvLNb1n89m81yGaPDO47syHd2ZBtwxrTs5J94xpd2ZDvPmTy9htdUjHVTECrmkbQ2hU+m3fqbNmlI6Xiqms9ztRBcUiDFIYhTsPGcz3SrblXLJGr1CQqVHi2g4xFTrkM7eK0zwsVnx1VDQFENHhjm0t8ESeB0A2dtVds4MC2fVQKZXbvmaKvt4VkInLCJL7nBT+fXfrPL6/R+y0EZCJHXPPSO4GbfhFxvmiQvvSlL/HAAw/wpS99aeENeoW48cYbefDBB1HqxJNti50FfQJvvfVWvv71r/PJT36Su+666xhDyHVd/vZv/5b77ruP97znPQtu6KvPYujJfn41SACCGgnzxwTkUF4Hpb1Ftv8n1ApgxmHoddC7Btp0EA4EUxBphQQ+WyYgFddoUwHDAwOsL+ykpVpAOZLhsR7Mus+V2iYoatgTFlP7OhjK7efJwcvZmlqPpdnHXJYQSUKrUchkqA1ESEbqGJEC9XqEZydiRKdmaK9101qPgnQwgwRC1w+dyIk5wXaDBN3qJhrMIhBEaEM7yoOkFNTKFQCuvizN7umQLXs0dK0Z1e1N1zsMrQ3IyJD//lyC+2cNgjxUdMEBNCq2QnVCRyTECaFSFThZgYrQNI5CYKaZD0nr9tCXe/gFDeymF0SmAoz1Lv5uC8NRdMkQMwJtmYBLLvAxTvJtDIKQRrXGtp0mT2+y6O12yeZMggC27ZQ89pTBO97iHPUECOKpBNVShUQ6CappYM3NS4JA0Nsb4Hmwb59GoSDJHhVaPBNXvPtam//znShjkxqregLW9fk8tdMkk1R0d4Y8tM3E82FDv08uGrJyjc+eGQ0VhXoCqo4gETn9Tl6I5pK6Rq2OpmmksunjC73oVVuIBunF9k+tXCWaiOH7Pn65CkAsET+h9ypjKD7Qa7O1ouOG0BUJWfMir9irrUE6UXkhYHD9ENOj06hQMT42TS6bQEpBLpc4ztu46FnSIJ3/LGmQmoiT/H+Jc4Lnedxzzz18//vf54knnmBkZAQpJevWreMDH/gAH/zgB9G0Ey8l+MpXvsLf//3fs3XrVkzT5Oqrr+Z//s//yWWXXXbS8p/5zGd4/vnnUUqxbt06fud3fodf+ZVfOYdnCCMjI2e8T39//4LqXJCB9L//9//m4Ycf5mMf+xh33303l112Ge3t7czMzPD0008zMzNDd3c3/+t//a8FNXKJQ/z8apAATG0/mpzBDVbiGmsYeWYHtSL0b4RoDjQNAgnJNgGhIsiABEp1mC2DntfwGyZrGgeIRBuoHTA9HqfTGkW6LhHPAwnVZAoz26DDm+GCcCtPLL+MzV3rqYZp8kEOW0WRIiAlCqxo28WTPVcQE3V030PYIbneIg8Op1gp++l/3iPb0FCa9rKvloZFgt7jtisFxbk8sUQcK2qRIOQDb7Z5YbeO7cBAV8iulMa9IxaWHfLDrSazMY1QBxWHelkS9QKMNujsC4m2hHTlfMo1jWcnDRp1qJckQR0wQabCZkQ778jAM6xJ9FyAzAb0d0B/OsT1YUj6PP+0Rl9fSH//EU+Q7/lUimWklERiUQqVCFIzyeaaA3JNg1xGsXefdswTIATEU0lmxiabBtJB51trS4imKcbGJNWqoLU1JJs9PqDCsvaQi5cFSM9jZX+AUjA+qbjnYZN4C8RjCl3CZ74bJWEo0inFlnmNtpyigiAegds2uDguuF4zut1LeYMC38d1XHLtx+YfOvzmvGj/hWqQDlGcKxCNRw/mSxK4totSikqhRCKTQtOP/1BmDMU1uWOXwpxsOubV1CCdaFtHXwcAiXSCA9v3E/gBtZpNb08LunGG8crPFxbDoHOxGWmLoT2vdv1nm8VwTc8x6hXQIKkFHH9mZob777+fH//4x+zevZvPfOYzLF++nGuuuYZksqnF3bt3L7/4i79IMpnk5ptv5q1vfSulUonvf//7/M7v/A733nsv3/ve945bSfDXf/3XfOxjH6O/v5/f+q3folqt8tWvfpVrrrmG++67jxtvvPGY8h/5yEf41Kc+RWdnJ+9///sxDIMf/ehH/Oqv/ipbtmzhb/7mb172eb4Uy5YtO6OAPEIIfH9hqScWZCD19vby9NNP88d//Md8/etf54c//OHhv0UiEe68804++clP0tnZuaBGLrEYeeV7TYFP06WhUUtfSd3/D1p7a7T0QxBCKQ9ZJTFiEVw/xIzb1PMwXIWqC84Wn8TNHsWJBv7ToGugojbMBSQz4Ifg2BCz81ijecKUSVSrEInaWCmH8WwPNT/OVKOT6UIHCpgz2wiyUIvGSOll2qIzzGXTyFSIqNoUsbmw2k/Hma6tEiClJAyODPYPzf4r1Vy6VZyZJ9vecoxXoKs1pKv1SP6ex0YMZlzBtmGTuYoGSRCtzdy1flww3iFpzSgqCnIX+EykQxK7BdmKojup2GMLqohmkti6QCgA1QzgAAhDoRyB8iWmCLii1WVmj+DhB3SCQKelJeS/vMdmoN+hWiyjGzrxVAbdACkkuayGQuD7TY8XNL1YywdPrOtp7e5gdnyatp7moPjii32KJYdnnjFobwu59Vb3mOV1R5NJhNheM/7Fjt0aTz5jIKJgZRV3XOdie4L5oiTV7TPYHbC3plEuC2opQdUWPLdD58c/M3FcWDMYcMdNDtHImd3Wg7f2nBAGIYXZ+YN5lbTDBocZaXocDdOglC8S+gHJXBrDNE9p5J2Bo/OUvFI9RSKTYM1la9n7wh5qDZs9+6YZ6G8lEjn1eS7xMlls13Sxtee1wNI1fVX54he/yIc//GGq1erhbf/tv/03APr6+g57VZLJJP/wD//ABz7wAWKx2OGyf/u3f8uNN97I97//fb75zW/yrne96/Dfdu/ezf/4H/+DVatW8eSTT5JON1c5fPjDH+aKK67gN37jN9ixYwf6wQ/z008/zac+9SmWL1/Ok08+eTjPUK1W46abbuJv//Zveec733lcTqKzRX9//0kNpFqtxtzcHACGYdDd3X1W6lzwKvPOzk6+9KUv8U//9E/s3LmTUqlEOp1m9erVx8QmP/9ZbFMpi6095x4/7ESpJFLkCfUcieuvIzb6H9ScgFoFEm0a0YSF0HIYKUnQqLDl/iKOpggMKE00eOw7IfnnYeMFkG2H2nRAOgETI1AtNwPJCQ0iUbDqLl3+fszAYzrXznSulWgo6A3HSNolhrcNsS+/Gi+ik71wjt4Nw/RoE6yIbKNciDPd1cBOO9iiwC2UiR0MtXzSHDlH3VJN08h2tFCaKwLN8rFkHMOycG2HerVGrrPtJQd+b25zGIoF3PV0DNWAyLjCTQusOjgRqLZKDDMECa6nc1nEwY0pcpEQIaElFVKLa6g8+Ht0/I06epdPUJEICTIW4m2zCKuSrT8T/H+eStBmBVzc4tDW5rN5s8Zjj9hEjIBtu7t5/HGDckWyfp3PTTe5tLeEtLcEPPuCTmdbSK0hSMQVV152vLBXHDQaddPAsR2siIWmwS2v97j5Ju+kUewO8boLPF7Yq/Odh0x27dWJWYqLlnlsndAZm5IkkwrXh1QMclHFUEvAC2M6ubhiWdrne/9hYTuSZCLkkU0GHS0hN11xYgHyK73k2rEdGpUauY7Wk35EpCbJtDY/atViicD3kZqGYRjnPHDEK4Vu6Ky6ZA2ju4YpzRXZt3+G7q4M6VRs8Z/jz1+X/vPN0v1e4hSMj4/zwQ9+kEwmw1e+8hUmJiZ45JFH+Mu//Es2bdrEj3/848Nle3p6+O3f/u3jjhGPx7nrrrt43/vex4MPPniMgfTFL34R3/f52Mc+dtg4Ali/fj2//Mu/zOc+9znuv/9+br31VgC++93vAnDXXXcdk4Q1Ho/zsY99jLe97W187nOfOy0D6Stf+Qq/8iu/wgUXXMCPf/xj2tvbX3KfAwcOnPLv5XKZf/qnf+LjH/8473vf+/irv/qrlzzmS3HWZLiGYbBhw4azdbhFyGLoyX6+NUi+6qThX0LceJBA1ei8ogsjm6M2V6SlXdHSbaJbKZTZgpVuMD1p0QgTpHtmaJQc5uZDpv4dejsgnmyGng4cKHrNf2PJZlS0MIBGHbQkNCrQs2+cFd27GO/uwE9qeJjMaJ1M13uoOT667VN9OM2M7ESsB0tvkEvOUiJFOnGAInt5hp9wNb+ATuTkRs2LtkspybY3O6IwVMyOTxFPJRAIsm1HOqhDTp1N+3UihmJd3xHvS180pC/qko7HEO7BK6qDPwzKgnAVxCuKtW0+1bgiGghijmDclyiliKQh2qWolwUUJM53Y6jrHbQeDzyBuyWC+6yFqEOwHyqDMGNIWjSFZQYMj0Q4MNLOP///BFOTGlZEkUzAw48YfP3bFhsuCPADqFdh1JFs3ODzlje5rFoRnOAJOCgAbs0xMzZJ+8GADYKTh/g++hoZOhiGojWjqLaH2A7M5DXiumKyJKkGita0IqopXA9aNcUNgy4fuqlB4ApKVcnK/gBNg/kizBZOXulpeSzOkgbpkAbtdIJAHPp7MpumUa3jOS6e4x5TxopGMF4U//x0e4WyIyg6gqiuaIudnpX4cjVIJ/stgP7VA8wlY0yPTDExWaRhe7S1pjAW85K7JQ3S+c+SBum8Y7GG+X7kkUfwPI8//MM/5C1veQtf+tKXkFLS399Pf38/d9xxx2kd55Cj4pAn6BAPPPAAwGED6Gje+MY38rnPfY4HH3zw8N+np6cBGBwcPK78oW3333//S7bn7rvv5g/+4A+46aab+O53v3t4meBCSaVSfOQjH2H9+vXcfvvtrFmzhjvvvHNBx1zEcYoWG4vhi7QQJcDLqePV5vi2VL3bCFSOqP4MFvuxelbhdy5HujYFt0BXIorQM8ikhu/sJpqbozgeIzR9hBuADqk0SB0Cr7mkTtdgbhZmJ6FRBE9BJAnd/bB6BZhCkRorkVpZJq9niCfr9A6O4GgmTz90JZVKmoiwcbdE8Vfo1Mw4hhGAo5iJdbKMA4yFj7Oz0kG3s/ZlXotmHBzTMjEj1nFXab4iuPdZE13C8s461ouct7evctg8qeNOCVQegudAaSBGwfEE5VZJ7xtCLhqEEeD1y1x2T2vsL0sGVgaMVSSVGYnKazjfjEE8bNYcNMVA0W0h+Qo0piXKEvx0Os4TTpzCpNZM6STA96CzU+EpxcycxviURkdnyKWX+HS1C6ZmJPl5SaEgjjm3E5Fpy1GcyTdDgZ/GIyuA/ZMa43Ma113osabX57ntBiNzkmvWebz3zQ6Wpdi+X+P+50ye2GUw0Bbw/psdhrpCCiVBazZk94hGIqbwA5AmPD2sk7QU/ZmAF/brlOuSZFSxvq+O8myS6ZMnaD0bGqRDGrSm3uilr8PRRBPNpRie6xGGR5Zy2rUGYRBiRY88ZzOuZFddIwAGrIDB6PE6ry2zGvfstSjYkqiuuKbH4w3L3JeMALhQDdJxZQ5uaO1uI5qIMbJzmEKhhm17dHdliUQW6cqGpcH1+c+SkbvEKSiXy8f8tiwLy7JOWDabzQJQKBQWVOc///M/A8cbQrt37yaRSJxQArNy5crDZQ7R1tYGwP79+48rf2jb2NgY9Xr9mGV+R/PRj36UT3ziE7zrXe/iy1/+8jmJcH3bbbcxMDDA3Xff/eoaSENDQ6dVTgjB3r17F1LVImCx9WSLrT1ng9P5Yhg0/Gto+FeSdr+FCp7BN9aAoQijsHW2zvplOrFuaL/IxHe2oIkZECnmCwFSLyO1I7PTtguVedi9C+qVIwlHRRkKBVAudPdAz84D9KwYolEPUV4cI6cYHNpHsqfI9FQ32/atxStbaOUAclAWaSJWjQYxdHwQM8ylnmVleAk6J+4QT3lllGJ+avY44+gQ2YTi+nUelqGOM44AfnmNw5MzJj/TDeo7gVAgA4U1DkYrlIqC1l2wbG3IqNDRPYWdF0hfEAhFapUiaAmp7xVgC3BkMyT4AOgzirChCAqSKhJ0Ra2kI0KBritUopmDFqUojEpMKUjGm3NqhbxEM8HUYUUmYHZK8oMfW3S0hywbOH4QDs2BtGlZlL0i6uANOx3jIAhBKYEmoatdkU27bN6r84ZrXF63zuO5fTo7J3XMCChNYUYhlWi2IZtWXHGBx7/8IMreSUFnd8ATszo/mzHQJAR1RVhptsP3fTb0Sn71zSkM69y8p2EQUpiZJ9PegjzN8z8ZumEcs7/bsJt5p4RACMG4Z/CNcpopXyAEpKTircky6y3n8D77ygZ/v6WNgh2S9RvU5iUPNUwe6lG8aV2FNb3Oq6YDaunMUpgpYjccDgzP0NOdI5E4dejzV4VF1pwlzjFL93tR8EqG+e7r6ztm+/+fvfeOryM777u/50y7/eKiN4Jg73V7b9Kutkhaq1mWZFnK65bE8ms7iZ28dhzFcSyXfBLZVpzEJZYl2ytLVi+72qrthbvsvYAgegduv1PP+8eAXBYAJAiSCy7x/XzID+6duXPKzJw5z5zn9zz/6T/9Jz7/+c9P+ZtbbrmFxYsX89//+3/H9318f+Z8e1Pxl3/5lzz++OPce++9PPTQQ2dsy2az07q2pVKpU/uc5MEHH+QLX/gCX/ziF/nEJz5BVVUVAKVSiS984QtnHPdsA8n3fX7pl36Jv/mbv+Ff/st/yZe+9CXk+dw+5kBVVRUHDx6c83HmZCAFQTDlQyabzTIxMQFAU1PTQh6ky8J8q8+lYDbt0fFkK0K9EUYcEBIpFe5pY0hm5XL0eJz+A4coDHuQqsIqKxw3T6DeDgrQ1xeuJJ38bTDpZucVoOM4LO+Agg91f/g8x37lfmq8MgOZZnThETVLLG87SKwxz47+rZTjUQIlyHtJkpE8vhIoBUbgkdV20qsdpV1tmFGD5OJSpkyMGPrkLRoEM7srSQm3r50+Id+iaMBf3JXn8WUmLywzGKqXLNJ8MjHFgf06QsKGmMeRVzUGbEFfRaPiSxZX+VS5Ps8es9AtiK6DlPKYyElICZyIINinqIzIsPIEYfxtO1yhcpMi9GUsKAhC8ZUTKLJ5gRmBY67k+90muYLAswV1ZkCiGPDWTp32xc607REiDNgw1NNPfWvTtPudTkutT22Vz9FejaaagGxRUJVWLGkO3fye2mHi+oKtyz2UggPdGi/sNWlvqNA9IHnlgEFdfUCtULx8xKRN+Nx3g8vRPslLR03et9Kmtconn/fY2x3jcK/PxqVzi6IzFXbFppS/MA3ahXD2MRJVaZQK9TzRRJwfD1pkLYOtGR8poKOs8YaMcmtDCU2EbnXfOhRj95COd6zMi8eiOCUTKQQnqiMMDCb5zIM2t2+Y+vos27D7uE7viEYqrli/2KOxemrj+GKpa22ir6MXu1yht3+CmkycTCaBrs8jXdK7cUhfYHoWzvc1R3d39ynjA5h29QggkUjwgx/8gJ//+Z/nT/7kT4BwseG1117j0Ucf5Td+4zdm1O788Ic/5Fd+5VdYvHgxf//3fz/nut9xxx387M/+LF/96ldZu3YtH/jAB05FsfM8j3Q6TTabnTKc+Ic+9CG+973vzWgQXiqGhoY4cOAA8Xh8zseak4E0k2iqs7OT3/iN32BwcJCnnnpqLsXME+bDSHZta5DO/r5irMKTGfRgFE+rm3KvWHUEX2VQuk+0IUN68WaKR9+gmBsgVXtyVSEMzKBO+x2EeqShQXj+J9C8Ava+4pNpPIr1i23IUj1BXCcRlLC0ClGrRLExSre5hH6vkbrIGAZ2aLsp0Co+BenzE/cJPp5qIUr1OfU9aRztEfsYZ4Iaqtmg1qExs25iJr3G6bREAv6f5RV+fnkFHgy/cxzYu1fnWK/Gy3sM1BhYnsJEkU753FDlcvSoxDmgiEhFEJOUqyR6i8A1QDsBQffJTpuMbicnM66mCDu3rMJtxqRLHuBJRbBI0OFpdL8msW2JtDySWwpEm1yOv2WwaJnkhvXBqTYFARTKgqiluFApydCIYHhUkk4pWpsCPnq3zfdfsRjJCqKm4oO3Oaxr9ynZULKhKh5OzIWAZFQxXgxL7+jXGJmQrF/mc6AXhvIwdlDiG5COeeSEwbDrUVtxiUUlhmkwXA4oBRCbbg4+Sw3S6Xqjqkm90XR5kObCycS2uqEjBEz4kqSmTgYupEoP2+WosG17RnS68xpub5n+4z5lJ07gSoQP/YPw0k6D+irFdStdYmdF/as48LXnI+zqMJBC4QWw7ZDOz9xTYUljcFEapOluhJZlLQCMDY4x1D2AbbuYlkEqGZ0fbncL7llXPwtuklcdAeIKaJDCk51Kpc4wkM7H+vXree211zh8+DBf/OIXeeKJJ1BK8Ud/9Ef8/d//Pdu3b5/SSPrxj3/Mhz/8YRoaGnj22Wdpajr3JeJJg2YqTroCnh68AcJktddffz1/8zd/w5e//GWi0SgPPPAAf/zHf8y6devQdf2Ua+DpvPjii0SjUR588MELbvtsGRkZYdu2bfzO7/wOjuNcsEZrJi7bVdHe3s4//dM/MT4+zm//9m9frmKuIFc4LNWUnD0tuNxlvNNMV5fwe1+rpWTdiOaPoPln+ul6x4ap/OOLuN9/mcU33YpV04yeiqNfl8H+yGrGlzWgJ3WMKEgtFPBPt+Lb2w+H90PRgfJLAwjlITWFq3Tq/BHypGhgkOZIL3GZp2QmSVBEKEWdP4hwFZVX8gz9916OfnU/b3R8E4fSuQUpKFFijAlAMMYEZcphi4UgXVPFxPDYtL10IWfu9H0qDuQqguragG8/ZfLY1y2+812Lwy/ppHsUN2Y8+nskhw4I/LyAkkQfEKgOSVV/QPQQ1Hf6pDR16sACYFJzhAHokxu0ye9EqFkiJghsgbPfp/iGh7erQnzNCJEtWfw2m5GNef7r8/DqznDiWqrAPz5l8d+/FuUvvh2lZzg8WVV11UwMj00ZNW7/YY3//dUof/kPUf7P30d5Y4fO6jafz32oxP/74TK/9tEyt21wEQKiJjRmFP1jEs8P+2aiKGmrDZcVpQjdJCZyDof7JIESuAgOZS0eH4mTTWm85UfZ5sXpLVj0IPkOJl/MxthuT/MeahYaJKVgYngMwzKJp5KnDCIhLq1xBKGBZFom1mQM81bLJ+dLyj64AQw4kkYzIDp5vwyXBEnNpzTiYlsWypFIAXpcITWfsZzkQGeozzqb/Sd0dnXoLGvyWNPms36xz+CExkt7jSn7ZKrvptMgTUd1QzVtq9vxkAwP5+jtHaNQqJy3Xy47sxnS59MwvcDbzNbIXWCBC2DlypXceOON3HnnnRw8eJDf//3fp7e3d8oco0888QSPPvootbW1PPfcc9NKYVasWEGhUGBgYOCcbSe1Rye1SCeRUvKrv/qr7Nq1i0qlwvj4OF/72tcIgoBCocDGjRunjF79zDPPEI1Guf/++3nttdcupgvQNG3Gfw0NDTzyyCPs2LGDhoYG/vAP//Ciyjmdy2o2G4bBe9/7Xr7+9a9fzmKuEPPtiTTf6nMpmP0TIx+5l3zkXrQgi+XspzE1ytH9xyh/5xm8vcdxdgnaE1t46M+/QPuv3Yd3m4G5rp7+ZSsZbqwhVqNhxcAwIRKZerIZBDA+FP7t+j5eJo0f0SlWYjQ4g7jojFHNEroQeGi4mEEJPbCJeWX8sqTy+gSF3oDcPpfO7m2Mc/jcggTEiVNNBgHUkCFKNNw0qbtxXfeM3Ehnk80KRkfPf20MTkj+9xMxvvBPMT7xH1P8aJfFRFQyrASH+jR6j2psrRlhfc0Yi9IBG1b4pNJgRRRBCWI5+NBam8/eV6auDqLx0N1W+UAgwoSyacBUocF0EqkgLkLjqbsMvXnI55FBCbOmhLtbYr9sUB4yODSu+N6zJnsPa7y00+Cl7RqBG3CsR+fJN8LcNlbEwrHtc9qnFDz1okm+IFm7MkwM+/SLJpUKRExoqA5IxtRkXqfQOH7/jTZLGn2O9Gl0DWtsXOJy76bQLWxlm0tDqsTOYxaDYyYt6QAtJjhe0ZkoaZAFe0KyO2uws2Ig10BdI2QDwQ+LBvng4u5XpUK90djAMOmaKqyLCMZwIWWcJD+ew7AM4unEqYSy91S5bE249Dgaxyoay6I+7692TtWjPqbwActURA3/lA1saeGBHT9c9UvHz71uh7MSpQSTqZpC18l0wIkhDffSeyeeIpaIsWTdUjL1GWzXo7tnlLGxwnldWS8r78YhfYHpWTjf84JwBeny/7tUCCH41V/9VQD2799/xraTxlEmk+G5555j+fLl0x7nrrvuAuDJJ588Z9uPf/zjM/Y5H//wD/8AwMc//vEpt2/ZsoVnnnkGXdd54IEHLspIUkrN+C8Wi7F+/Xp+8zd/k927d9Pe3j7rMs7mskexK5VKjI2d+9b76mO++TTMt/pcCi6iPUInH30fFXM9EWc/lt+J54/SN9pIc1MjoqwRFGyqVi0mtXopMbuZmEjhOy57/v7/UJNRCDmEFYNERpKfUIyPKIJpbJDEBxsYaqynbEe4zn6DMbOaKCUEinHSrOIwFg5RWcZVJocia9ANn+jWBMX8EPlkE0bLCIPqRarFCgxO85NVoAudjWodZSrEiJ7hXiekoLapnuGegVMhrs/me9+zcD345CcqzODezIEejSP9GidOSPYO64gExAlwlYAcaJrCcwykMFnaolifcNjXqZMtCgwBt2xw+e1fKnH0mMa+3Sa1VYp9b0GlGGrBtGooLxUEXYSvYXzC0SYmwly/BRtyJcIPUYKKhjdaxmjzcDss7EGdbN7iu67Owf2Srk6XvhMl6jIuDUstmqrefktlRsLcUKdHclMKSmVBLKbCHFJRheOA4woikbcnwUq8fdU11wT8/P0V+sfDFZDWWh/LAM/1iMkSn3ogwquHdP55m8ewozExIAg8QZwAI6Io+oK2ZICIKTwD3HGf8eZxBpRgQlkkZ3l9K8Wscl5dLKcfN1GVCgM0IE5FuUvqik82VOi1JQGCRtMnfpqL48Y6j02NOi+3GYhtDmbMx8vq2HmJQlBTG/DhuytEp7gek7HQ/dIP4GSaonxJsLQxQL/MEbk1XWPRysVEYlFG+obpH5igYrvU1SQxzHcgwOu7cUhfYHoWzvcCM7B3717S6fQ5gR0Ann/+eSDMf3SSs42js1d/zuazn/0s/+2//Tf+63/9r3zwgx885U63b98+vvKVr7Bs2TLuvffeM36Ty+XOcRF88cUX+cIXvsDixYv55V/+5WnL27x5M88++yz33Xcf999/P0888QS33nrrzJ1wGsF0k7LLyGV9Crzwwgs89thjrFq16nIWcwWYLyPZldAgXYUIgasvwtUXkQdYEzC+7tu0jO+Aagvz9pvwcPFxsawEGiaaadL+8Ifo3PUahRe34RVH8FxFoimOHy8ycSIfzt1Pw7qtisr/dwcWHreXX8DTLI7JeoTyKXsxRo1qEuRxAxNHRNCEIiJsPCQD770Bf12JIJYib+2g5PWRN45TzWm5wyZPqY5OksR0jSWWSlDI5kmkw/wBp2uQVqzwKJUF54uLko4pDF3RMaJhaArpgqGBaSjcNNgVQXVtlNxgkVLZYtliaKoJV1MOdmgsaQ6XheJxxeolHmuWw3vv8MlOwOiopKgJjizSOOxqOAMCSoTx0+OTwRomKoSx7SzAACXIPV1N5PoyXs5E2WAPGYzoMDHgMzYEnqMz3lehr7vM5uUugZIIEeaEGuw+M1iDlHDdRo8fPWuSL4Shxu+40SWZOHOF4ORddLIPE1HFiujbS16VUgXPdYnEorRXGdTWOuwYN9i5TVJ2BDqKwBfkHIERgT1jkpqJgIb+gB8dNcncCWsWVdCkFrZzKk6/rSf/Pqk3mirn1YXozS6W6YwwQzJlaG+ApKX49LoKImLwf5GMHM6R02I4rk5TI/yXnynz4bumDrixbrHHkgaD/Sc0qpOKQkVgaHDzWveMfEjTMkXfzQYhoH5RPVbMYqh7kPHxIo7jUVebIh6ffbTJOXHyxJ78+1phvjxerxTXwjk++76cxygk6jJrkC7m+G+++Sa/+Iu/yMMPP8ztt9/OoUOHOHjwIL/4i7/IV77yFaLRKJ/73OcAOHjwII8++ii2bXP33Xfz2GOPnXO89vZ2PvOZz5z6vHLlSj7/+c/zO7/zO2zcuJGPfOQjFItFHnvsMVzX5a/+6q/OyZ30kY98hHK5zMaNG0mlUuzZs4fHH3+c6urqC8pptGnTplNG0vve975ZG0lXmjkZSGdblyfxPI/e3l46OztRSvE7v/M7cylmHjBfRrJ3oh7z4ek1yzoIQfamu4iuvB5hmchUEklAnDQFjhCZtHysRRor4vcQ+bW7OfDdp3AnIy821+9i3U1w4oCgp9dAZHSSv7SM2n+9lJToxQhchlQDg1oDkWKFqlyZXbXrKTsJBr1G2qK9mMJBKQVIdBmQ1IuMLKqj4kYo+zGGMKkXXVSr2SVXFgLiqQRDPQOntCinm8w333xhfkmb2j0+cKPNkV6NmCfIFSQDI5JyWYAGBQLqaieobTA40is4ckJSkw4Yz0kilmLrurCcxoaAjes9Xn7NIFOliMdD++eDd1Z40TPxIoL+CuSPSIICYAMJFYYJBGDSkjM03CEd90cmWCIMIx5TkAkYH1UoJUglFKoE+IqeDp+RYclJfepJLVJV3dvJUu+91SGVUPQPCWozihs2udMaAOcEAlBQyhUQMlxJORmZ580TOmUX7lnl8ORbFo6EkiWo2AKcMMR6VVxxe73LiRFJa3eCTy8RNIoZhlpx5t9KKSZGxokn41PmvJqqvpeMaSYz5ysvaSk+tcRl2Sc1do4KbN9ma2OFe2q9M1abziYdV3zyvjKv7Dc40quzuN7nxtUu69v9Cyr37L67WNLVaayoxUBnP9nRLK47Rl1tiqp0/MoOf+/0UPtOcK21+Vpo7yW6L69lPvCBD1Aqlfjud7/Ln/3Zn9Hf34/v+/T29vLwww/zn//zf2b9+nD+MDAwgD3pav61r31tyuPdddddZxhIAL/9279Ne3s7X/ziF/lf/+t/YZomt956K7/3e7/HDTfccM4xHn30Ub785S/zD//wD5TLZRYtWsTnPvc5/sN/+A80NDRcULs2btzIM888w3333ccDDzzA448/zu233z6LnrlyCKWmkjdfGNPFMRdCkMlkuP766/n1X/91HnjggYuu4OUgl8uRTqd5cV8fieSFRxRZ4GpB0dk5xgduOVOvMcGLDItv45NFAJIEGfUwtdxP7/6jlHt76d/2JvHiY0T0XspjCvnAIjqq1pGvjhMkBUKDTClLsSbGsFbPba+9wjfvfpSDai1BIGm3jlOthQEjNEL3ITVm4x/Nkquqp7CsjXXOYRqtBKvkEraoR2ffOhUuN48NDFPXcmGD0lR4PvzZj6I8/6bJsUMahzs0PBFG9LOKAR+6q8xX/7TI3sMGL7xpMDwmqE4r7rzBZfOatw2xUgleetVk1x4dTYPrt7jcfKNLT0nypzti5MqC5HjA/ld1Dm3X0Op9ep/K4dseUAVoYMlQmxQoMDXwIZJU1NUFTPTkqZQCamIV7IqPJmHrVo1f/EWdJe2CDRvCkO3DvYNUN9bNKi9Q4MOhTo3xrCSVCFizzEeIgMJEHjNiYUWtM1IZ/NmzUQZzkpaqgMffMDncr1GICCYQxDVFQzqgNq24s8FlYlRw22qXj916rkZqJpRSp9woB4clO/boRCOKm7a6RCLn//1cCQJFMZdH03WisSjifJlegWODGv/8hsVIXpJJBHzkBpuVTbPP23HFmOadS+AHDHYPMNI7DEB1JkFdXQp5AX0wl7qMll1qYvMgkt48Zazkkokal83NdIG5owLF/oO9CAFr17Se+j6XL1C7/Gay2eysIrhdbk7OA7+X/S7x1NxDQs9EMVfkA+kPzqkPvvzlL/OTn/yEL3/5y5e2clcZtm3z2GOP8eSTT3L48GHy+TzJZJKVK1fywAMP8PGPf3zG8OmzYc55kBa4VpkPK0sXTkABTeyjllZcVqMAkxKaOIyvrqNl7XKyDTW03nYT9uEGRl/7Ol2vbifW183qu3oZ3HA9oxP1BFWKodYGRrRaNnbswQh8BmjCQ8d0bWpioygkGgEn08OpY+No+0ZJ1pWxm6spxGrxZEBhMgDDbBEifDkx1/tP1+D+zQ7945IdRzWCJER0RdzzqdgaP9kRZSJXZsMqj5pMwMCIpK4mYFHDmeXGYnD/fQ7vvdc5VT+ApWbAv1hf5jvHIowmBSsafZQuqNEVu49IDh8SgAvoofudo8Kod64CHRIJxY3XebTeVuArf6fIZUHTwIpLsiWDr/yzgRCC++70+Vc/71PX0jDpatfIhVybSsGPXzJ59jUT1wuPfdPGMvffmCWWjGJa4fcdgxolR1AVC3C8MNGsrsG9mx1aazV6RjU6KxrSgrpMGNZ8eFjSmPbZuiQ0JPce0Xh9t8HwuGRJq89tm11aG2c+f74P//x9i32HNDQpcD14z53T57q6VEgpSFalyI1nKRUV8eSZk4ep7vwndpsMZiVL632OD2v8aJfJisbyhbnJXSZmLHeaDVKTNLU3Y0UjDHUPMDKax3ZcGurTWFNlYL6WmW+PgPlWn3cDC326wDxi+/btfPSjHz3lnXb2tn/6p3/iv/yX/8LXv/51tm7dOufy3gEl6tXIfBkl5ks9YP7U48LwGcJnHIMlmJP+wIo0PscIGGKMDF01KUZGx1i8/mMsTyyisvt3GTtwiJEfBCyue5OG61oZNBvRT5RRFGk5ehSViqFU6ENUZY7joWNwcnVFhB5LtVGoi6BHBUL4+L4i8EwCM45CIebYl3PRpaxr9Xlkq81PXjIZdhQJLyCmCWzCYHR+AG/s1fnBCxa5oiAZUzxwq8PtW86dqJ/9dndnj84zh0xKBTAF3Njmcff9Li89a3DXPRpdXT6VchnQQJmhTkkI0AKa2hV33+HxX36zSGONwaJmj2eeA8cW5ByTaH2UXCBxHPj77ymaW20+9JBHIpWkmCucEQr77H46Sd+Q5KW3DDLpgJqMYmzU5eW3NDauSrG6VtA1LPnuNovjQxp+ABEDHAGjFUFuXFAqC9IJxT0bHQ6P6Kxq9rhthUslDxLB4jqfRbUBOw/qfO3xCK4Hybji5R0GHd0a/+KnKjTUBtP667sujGcF6ZQiXxBkc/Kya5BOx4pEcB0Hx3YwLHNa974gIFwljCpMHVJRRckW+EFoSF5MPS+4nTNokObSP9UN1ZgRk6HuQfLjeTzXp64uRTJ5cS81LpirSZ9yqep4qS7mq6HP4No4x1eVBklMvsq8vGUsMDd6enp473vfy/j4OLW1tfzCL/wC69ato6GhgcHBQfbt28df//Vf09HRwQMPPMDOnTvPCGJxMczJQFq6dCm/9mu/dirk4FT87//9v/njP/5jOjo65lLUO8x8ubjn3XvYeVsHZY0wLPJIJCmakZgIDMABTvopefhovESct4RLDkUlqtEwsJ/7jzxB/PolaOU8Zn8fe76s0A4PEWscxiQCi9Yj+mxiJqS8CQa0BjQRECCQBJPCz8k618VgtAwd/TQ/08O6ZS7ta1oQbRr5lsUEuOhKIxbEkSIKcnbL/RerSxkpCH60x+TQgE6k1sWq0igNSio+BEKwdZ2L58OPXgp1QqvbfQZGJU++YrKs1aepbvoVkK4xybd2WTieoCEZMF6CPZ06H99cxh6Ht3aaXH+Txq4dNqVCAV9FAJNoQuO6m3x+5uMeH3t/hZpMqOP6jd8w+eVfVrz8Kvzen0WxIoLadOjCdeiY5MW3TB66zyOeTjDY3U88lTinR87un1JZULYFLY0BdqlMKqHRP2rgeAGFss83Xo3QPSpZ1hBGsytWYNsxnX19OsoXpEyFFyismM7dmxx+ZqtNY/rMPgkCeGm7QRDAqkldTWMt7DuqseOgzvtud87115+cUFgW3Hmzy3MvG9RU+Vy30b0yGqTJg1tRC03XqJTK+J5PND61cSAlbFns8fhuk3xZw1eC96yzz4hCpxQc69Lo7NWQUrG8zaetefrr54Lbeam0DlMMMYl0AtMyscs2ubEsff1jRMYKxGIWdbWpyxQl4zIcc75zrbX5WmjvggbpkvOZz3zmHA3RtcQXvvAFxsfH+dCHPsRXv/pVotFzn0f/8T/+R372Z3+Wb37zm3zhC1/gS1/60pzKnJOB1NnZycSksH06stksJ06cmEsxC7yjzIfRbTZ1UHSN7GfZlu30iSICGKeONnUzOm24HEGjARAEDHCUjbwkakkBKxFMOArNLjBsDzGwtoaWlpsQz75BW2KYIQPGjii0pQZWg8QdMakfHmRV/ggTmSryJGhUAygBGh4BWvh26tlOxJt9qKYUTd29FHsc8k0JBpb08qL3CoGXpbrSi9UnqB1NcfuKZoyaW8BYfHm6k1B/9M3tEfb0aNRaeW7bHKXo+/QnJNEJxfrlHv/z/8tTqkjyRcnSVh8pobEm4FCnRq4oaKqb/vhHhzXGS4INk9HuEpbiwIDG8Qmdj33YZvmygCXtOitXxDhyzCcRD7j3rjKf+LhH97BOoSQ40a+RTnqcDKQTiwmqa8KcEr6r8H3IZiGTVAQIcgVBxFLUNTcwNjhCVW01QgjENJqkmqqA6rTPwSMOi1tMBsYNMmmoywQc7NPoGtFY3eKdCj8dj0BMKVQB1i91KQaSIAAvL1iX9s4xjgAqNoxlBVWpt7dJAVELhkanj2ykgLGBYe68pY7N6z1MQ10R/dHZt5pu6Agh8D0PFahp9Uj3rXNIRRWDOUF9SnHD0jNXGJ951eCply1Kk/lY0wnFB99jc8OGy5jsaCbONoimGWLMiIkZMYmn40RiUfqO91Is2VRsl+amDJp2eaNfLbDAApeXAElwmaPYXe7jXws8/vjjxONxvvzlL09pHAFEIhH+9m//lieeeIIf/ehHcy7zsrvYZbPZSyaYWmA+MR9WlqZGZo5TcivUy1aUCMjRS54BqtX9ICL4dIb7sYYD3IqGTx0DDLkG36u04KtFfFy0wTCUo3D9De3E8x6pQZve1VH6VzRhJCRjTQ34R4bYenQHw5tqGY1W4XvgGCYRHAzCSaLXOU6QjtAS8bmlMUuxJsm2Re2MmjGU20dJj9BnLWb/4HqskYBa7zE2rDkE1R8Dc81l6aPuccmhfmhJ5MmkIwgp+Pi9Nt0jks/cVOa65aFhM5YNSCcCeockLfUB/SOSdCIgk5pZPzOlS8HkykgkArfe7HLj9S75gkDXQr2R78M/P2nx2m4DpUJN0G1bXH7qPpuT8WA2rlNs3RSwfZcGnk8kCnXNkkXNAVXJsACpSWoa65gYHkMRJgUFgRkxzwi4kIjavPfGIs9sq2Z4QicRD3j4Loem+oB9AzqgOHv+WyxJIgYsTQU0pT1QcKJXo5yd+gEYsaC+WnG0S6O2KuxTP4BSRdA4wwqcAGomLdBU8p3xUTl5h8cnw8oXcwUSVckp73xDh1tXTq2PGhiRvLDNJBFTLGsL29zVJ3nqZZM1S30S8cvTvovRIE2HlJKaphqsqEVfRy+5XBnX9WhqzBCNniem/ruV+fYImG/1eTew0KcLzBP6+vrYuHEjicR0KVBCEokEa9asYc+ePXMuc9YG0gsvvHDG587OznO+A/B9n56eHr761a+ycuXKi6/hvGC+jBLzpR4wf+pxNoJkStI3IqlvAYFEIFD4SKqIqw8QMEExV6CkUvRHFNXaW7iih9cKWzkiBaK2lRdW3snWjm30ux7PrdzK5mGXuspxjLRO/eAgpewQnXWLOF6qYdXefRT0OC+vvo18IkEiyOIIDVuEE6egroaa/cfYoMagOsrO991Cc2MvG9iDUXLxhEGf1UypPUauqgbfcWC8H6wfg9YMWvqMFp7MkXPqM7PXpWSzZRxXJ1UfPRWhK2oqLAuqq96esFanFR+42+H7z5sc79VIxgIevsOhvnrmSe2yWo9UxKBrTFKXDBgvSXQNVta/vWKg65CZLEsBHT0ab+4zWNzsE49CtiB4Y4/BdWtd2lvCiXVHp0ZdWuEFggnbYEVrQFur4q4bHA4e0hkbE1RXK1av8qiazB9UzBVQSuE6DrFkAikFpXyRIAi4YUuc9WsrTOQlqbg6lScpZqkwWqAKV3xOEokqPA8sPcwNpBSUbairntrYkRLuuM6hZzDCgQ6NeFSRLQjam322rnHPPIEn/56BCz3XSsH2fTrb94dD/JY1Htet92YVBez0XU3LwrFt7LKNNVXG1xkYGJZkC5K1y94+9011AR09GoOjkkT83Gh377QGaToSVQnaVi9msGuAieEJuntGqatNkclcoihY14I+5WwWNEjzl2tAgxQQeiVc7jIWmBvJZJLBwcEL2ndwcJB4fO5j8qwNpLvvvvvUW1ghBH/3d3/H3/3d3025r1IKIQR/8Ad/MLdavmOcvMvny8U9XT3mk+H0zmN4bSBPUGKUQLkYIkaMWsaHx8KZIxBL1iGEIq6No2sDTLgt9AVNYNj4mLzSfCt761ZQK0dIiBJPeDcSW51nhX6AO4qvsmL0EM3dJQquxcjuOCt3v0HL5k4OblhHd/Ni3IhOVNlEi2UiAxPUHB2lZniMow9toi3TR7UzilH20E0fotBYGGSttp8ebQmxgXE4WoHVZVi8Dmrfe24bT88Eq95+Bp3+LBJTzDCVguzoOG01MRbVapwY01ha54crIaMaTamAprNcxTav8mhr9JnIh6tHNVXqvFdce03ABzbYPHfYpG9CIxEJeHidw9rGqUM/C8B2BK4P0UlXsmRM0TsIFVtwYkjyvecsvv9tjbdesCmWPISpkxsI+PB9Ngf3RNi+I9T6CAnXbXH52EdsLItJPRI4FYfc2AQqCIgm4kTjMYQUxGMQjwVvd6CA1c0e9WmD40MaS+p9pAjdEoUBTamAoUGBV5KM58OVoE2rp3YVO9Kp0XFCozETkI+GLoA3bfC5cYNHbUa93fjTyp5pQnGh2pwd+3X+6fHIqWMePaEjZeVU/qopmeGkmhFzMmDDFAbSeS6GWEShawrbCVfUIFxBi5iKqDV1Y2elQboEw/SFjKAnaxqJRWhZ1kokHmWgs5/BoQkqtktTQ9Xch+FrcRi/1tp8LbR3QYO0wCXmuuuu46mnnuJrX/saH//4x6fd77HHHqO7u5v7779/zmXO2kD63d/9XYQQKKX4vd/7Pe666y7uvvvuc/bTNI3q6mruuece1qy5PG5Cl59LrPq9bLyTI9Bc23npX6dF7dU0GIrjPQdRns6di9cQF/UUKv3UNjeEcykpsQSsJcJ+YaBrJYTwEAR4QlGtD7PMOkLCLaAmJGayTHPQQ6aSp6yiyIKgzs+SkWmCrSnyJzysniJ3dndgGnmCmmYqZobBvUWcPcNYa7eSNPZgL03TJPqhDEY8zLkz5mSIjNhkJnJcn3+DrN8EvoTOXhj7Z9i6DGqWnmqfEJxKIOr7ARNDo1P2Q1V9TZgTaPJz4AeMD49RVZtBahqPbHT49k6LA/2hO1ldIuC+1TYRAzwPjvdquB4sagyoTitSSZ/9Yxo/3qVTtmFtvc/WFo/poh/f1O6xpNZnvCxoTiqSkZlfJTbU+NSkAzq6NeprAgaGJfU1AS7w9WcjPP24yVvPlSmPT668lD1OHJL8n//ls7hNsma1RyymKJfhzbd01q1x2bzpbYOgkM3he6GBZpjGlHoax4VjHRq6Do9c7/CDN032d2uTKy+C9e0+/+KuCie6JH1DGk0NPpvXeNRXB+fcCa/v1Pnu0xalskDIcNtt17k8eIdD95DkUJdGS21AyYft3QbrGj3qEy5vHC9SV9tMnVIXnfdlz2EdFcCKycAQRzo1dh/SpzaQ5mpgTLOCc5IlrT4r2332HtFoqAkIlGBoVHLrltCdcc7Mcei40BHs9Gbqhk59Sz3ReJSuQycYHy9QqTi0Lapd0CUtsMACC1xiPve5z/Hkk0/ycz/3c2zbto1f+ZVfYcmSJae2Hz9+nD//8z/nL/7iLxBCzBg87kKZtYH0+c9//tTfzz//PJ/97Gf59Kc/PeeKvPu4Vl6bzL9XpgKduLuBuNxAZ98olbRBqircJqXAVoLdFR1HCRabGXqNtUxo+6nRezjkbiAhJlihHUKqgMHxBuSY4mfcr7HOOYgdM0iXc2grXISlMIoeIlfAjIHv+ngTRfzeCH65QKGcxtw9SLJ5BamNt2IWk6T1PqTwEaZCKp/BbD0TkQxGymcw1URjcYAVXV1groO4BoUSHHgcbvwsmLEz2mlGLHJjE6e0KmczMTxGNPH2MnO5UKS6vuaUYbCu2aelqkzHiEbPsGTPcZ3vvWrR2edRGhNsP2jg+bCk2eeBW23+4BsxHn/BoigE0oKGloAP3WHzi7dXWDHFytBP+g1eGDIQwJ0NLnc1zpzDp75G8eH32vzgeYuJnKCxNuAD99gcGdHoHdGI+AFuOSxH6mGSV99TnOgKiFpF1q6CcjE8VqVs0nWixJJFpVPHr6qrnja5NYQR5771XYvX3zTQdXjgPTb/6oEyh/p0irYgEw9Y3eIRj8BtG+DH20xe3GvQ8YrOgR6Pj91V4WSgt2IJnnnVREpYs9zF9wOKZYPXdhoMlwTHB3RsFxbX2zS1+/z4iM6Dq10yKZvHR5qJjit+bnWFlVUXl2xVilDrdKptiumNrVncgr7n47keujHFo2Oa4xgGfPR9FaqrTA4eC6PYPXC7zT03ufMi8edsq3BqdUsKUtUplm9cQfeRLkr5Esc6BmltqSYWm8INcWGhf4HZsHC9XBHCiLOX96XG5T7+tcDDDz/Mb/3Wb/FHf/RHfPGLX+SLX/wilmVRV1fH8PAwth0mZFdK8R/+w3/goYcemnOZcwrS8Nxzz825AlcH82Wkmi/1uHqoqopysB/G8w4Zwonit/IWr1dMfKBNN/hoeg3dosK41c9ubQnN9BDVyoyIDCoTcI/2DNf3bEM2KJJGQCRVoehHMY8FGDEbYQl0uwZR14pIZ/HySYxigdSmldhCoFelEULgxVaRHutD2QoSiqBPI59IktBz5PUkHdYSXqy+iaVWL+/rOMwiAsisgNwAjB6Dpg2n2iUEZCY1NtPpNarqqilmCxRyeeKpBOnazBlBCgCqYoqNLR4/2RFjOCupSSq+85KFygs2LfeIWortBzT+/scpdh83cGsAAwjg+D6Nr46blEYC/vMnytSeliC8pyh5qt9EF2G9nuwzWZ70aYlPvWJwsu7rlvssW1SiUBIk4wrLhAODGqapSKYFQtdAeKhJu0HqkuoaEa4IaSbRaBg5LhrTqK4THDqR5NhxiecLWpp9Nqz2aZhi1UIB2axg/0Gd+rqAYkmwfYfBe+5xuWXVuYZd97Dk+d0GiZgiZgXsOKqzstXgtvXhviPjkvGspLXRxS5V8P2AZEKy86CiKyfYsLxMY1XAwRMmqaTDgyvzbGhwGdbT2INhZixnCtvoQrU5W9a6HDyuceBYGGs7FlFsXXvxEeMUYFgmjh26KZoRC90wiMQuLLRedZXio++zKZVDXVbkPDKmS6FBulJE4hHa1yxhsHuA0f5RurpDXVJNzVli4gup29WkT7lUXGuPtQs9x1dzn1xFGqQFrh6+8IUvcNttt/GHf/iHvPbaa1QqFbq7u4EwkM6tt97Kb/3Wb/Hwww9fkvIWEsXOyIIG6WqnqipcdTnUWeamVjg+lGWfFqdF90lJxT5HY8jVuVM7xm3+PoajBuOyxAi1TFDF9cY2bh1/lYyRAw9Mx8H0HJQmKTYYpA+WCao0RHUaaYwgUzGMLQmILSd9+0fI/vglck/+BD+VREYsqvanKTX2EzQqREXhtmkcNDezQ9vC0dJKBseacX2DP24r8z57O18odZPgKJQmzmxYoMB+CZzdCGMZRO9DiHN93eKpBIZlUMwXp+0jzw9z/GQSitpkwH5XQ7kQiyqkgGN9Ooe6DNwM0ADUAxZQgaFjih+/JbltmcYn3vv2jL7iC8q+oD3howI40K1x1JRklgbEYufW4fSr17LAMsOn6pEjDp07Rhk4kkBF4tQ0mwx0Gig/QGiSqmqXzRscli+LcrxTO7VS0trq8+wrBm/tMTAMxeLmgDd3Grz0qs9D73W4cavH4LCko0tD1xTrVnnE44r6uoADhzQQgrWrnWnvLNsR2K6gNR6g6+HpGM0LXj5gMDghUb7CCQJGhm2qUz5mxCKfKyNkEk0TpJMCTerEYgaZBLRv8Xm6nKBR+nxoeYW4Bmsy51pIF6rNWb/S5xOiwp7D4RC/foXH+pXnWY2aYRgRgGmZaJk0vhcaWp7rMT40imGZWBELu1whnk7NuCoUu8A8q/NZgyTO/lKAYRk0tTcTTcToOdLN0HCWcsWhtbl6dvW6Fofxa63N10J7ryINkroCYb4XVpAuHY888giPPPIIxWKRo0ePUigUSCQSLF++/JIEZjidWRlIS5cuRQjB008/zZIlS1i6dOn5f0QYzOHYsWMXVcF3lgUN0vmZfxqkqdA0yc7BasoIzDYYDiSOFmAAcamAJFDgLvbwTdYyRg2L6OJO/yfUlibQpE/JjDAkaxjVMuh4RKsrpLU8GdcmER/AHBMIx6aS9nEao1TyX6H37tspWTfR8NohEt1FIrWrscoaQc8bFOI6HeZS3tKv483hmxkebkQ5EghwfYPucoS/9kp8yu6j1h07s0HBAFReAKHAfgWMJWCsOrfhk3qlieGxaU9VxITrl3s8vctkNKexrt3Dy8H+oxpIGC3IsJxaEXaTAfiE+XYbJDmlUzYkTuBjTj4HWuM+q1Meu0d1Trwq8I8pvhs32N6i8dGPOLS2nvtaUSlQQUAQBGRHxjl0OOBb33OpOBFkroCMeXz4U9U8932d/h6PqOXQ0OhT35bgF/4fjyNHK4yNSUxL8e0fmjz1vMV4TmBFoLrK5oZNHr39ku8+buG4gpe2GfQOSKSEDas9PvWhCh/7cIUdu0Kj6vqt3rRXZUutz9JmnwNdOgKImIrXjhgU7DBsuefDQCDpG4yzxCljxSOMjkfZssbHtwSHuyMYBlgmNLf6/LBoMh5IjqHx2doKm6y55wdat8Jn3YoLcNGbhYGh6RraZAZYwzKJxKI4tkN2dAKFwvd9kpn0jK6Ml5x3QIMkzv6SsG+qG6qJxqMc39dBsWRztGOAJYvr0fSFCdICCyywwKUiHo+zadOmy1rGrAykIAjOcNE5+/N0KHUtrrHO89cml4z5p0GaikWLMqf+Hh4o01Vt4kUE98Qc1pg+qLUo9Sqr/X3k1S0YmscyjtFcHkZIyJkJXqu6kSOR5aTEOIbhUdYiNDUMcH1pJ45XQLW0IO2VTOgGeTPgTbNMVu7CfE8rjbfcwgNDaWrjtYiDTzJR6KKjSWdINNCRX8bQYDPKBSEC2iPH+WTxH1nrH2A0qGOf1Lh5YidW6UaINU12mwHSAn8URJxwSefiuX+zQ1udT9kRLG3wKZUEr+02GBqXDGQ9Rgo6BVMLT5fH27PEpAam4GU/QrlD58MtNk3RgIgGn1hqI4/5HNtm0JpRpFOK450a3/2eyb/85bdzG0E4Rthlm3KxhBSCmqY6Op4tEOCwcaOB7ysOHKxw19oSupemtTHAd02QktEJg/F8ia1bQqPiL/4qwre/H6FUFlQqijHH44ffhvJ4wPoNisFRnR8+bZIvCdav9nE92HdYp6NLY+1Knwfe45y3v2IR+MQ9FXYcNbBd2Nuj0TOusWaRfyp3kildjjhwtJwgNyZoawjYsNFjQ7vPtgM6ZUewerHPqqUeL2VN+pQgJRSWuMLj5UXegkIIhCaIxCKnXO1cx6UwkcOKRhFSYFrzP0fQxWqQptwmBLFkjHU3r8d1PLoOdnLkWD+tLTUIIJ64Etl+F3hXsOAYckVQiKnz9l3iMha4+piVgdTZ2Tnj53cv82Wkmi/1uLq5qS5KzYkx7rveoso4GWp5EdL4OJrzFSzpY4iAhCiS8ItUfJOX6u5iV2ITCW0coacZoJFN7KLWG2WPsRYVhToxRiR1HJcUlSDDqBZB+iMcD+K8Hqln16IKtx7bwR29fcSabmYoNkFJJBgYa8VzNKTwuTX9CndYz3PjxDZKiShV5ij9hRpGnBItE4ffNpC0Woi9H9wjKK0VoS+e09WhabCu7e3Vhuqk4iPvtak4kHUFw1nBcEXDCxe4wpFjsrDm+oDVzT5H8hrf6bP4hSVlnIriK1/x+eM/ijAwaGKa0NioWL/OJxkPyOchPZneKQgCSvkivi852llDPi9oaVFM9V7l5HcRS6InJONZGM8LhkYFbc0wPCz41nctbBfSiTK5MRunbDM47vDNf9LYu9tg03UWyjRJJEN3vJNeWgAjE4ITgxqahKXNPqkZkphWpxT3bXUYmhC8ctRgUW1wRmLZ+nTASyWL9ga4c71LxRP8eLdFJl3hA3ecZoQp+Fiiwj5Hp04LWGlMv+pzMTmvLgUXWp5hGshUknIxDI7hOS6x5OzdHq4mDdJ0RRumTvvaJQx2D3KiawghoK4uRd3pYr2pDsQUB3s3c6091hY0SAsscF6+8pWvzPkYcw0gt6BBmpEFDdK7ldaGJPuPFLhxlYE2uTAi5WrGxj9GfWSYcjLKsN6AUgJ33GR/62pKus4SbZROltLEAFVMsEtsYF1kH80MYAQeeRIgCggRUA4MDoq1lIihC0Fn4NLTUM2+Le/l0dIxfP0wSgkqpRhCKhrMQTakd1MsJCm4CUZFNbrmURcfYTwbp0Wd5nalCF3qjFUz6zXULJ9PZ11KERNuWefSNyLxehx2+TqFSBizWvOgvd7jp2+uUGWBlAFdWcljPzT58XcqPP9MjNFRC6UCHAf6+gS5nE42K/jzL0nq6wLuubtCXXWWWDLOj56I8JOfSPwAUkm47roIsZjL3n0OgQ/LluncepNgKO9z4JiGUrDrgE48pvjWjyPkCg4RBYPDGvmKx+CYA54DXhHwcBzF3t2Cvt4Id96fxohF+OHzJolYwB3Xu4wWBd/4VpSxfGjlNFUH/NRdNqvaZnZTcwOB5wt0GZwy4ALPp39MUXYNljQ4NFYrQNExoPH6EYPrl5+WtFVAmxHQpjvnvY0vWJtzMZxHg3Shv9N0jUQ6SRAonHKF7OgEqeqqi0pSe7VokKb7raZrNC5uIp6M0Xmgk+HhHOVSGA58yh9di8P4tdbma6G9V5EGKbgCGqTLffx3I5/5zGcuyENtOoQQ76yBdO+99/KZz3xmxko89thj/NVf/RXPPvvsXIp6h5jnd/YprpZ6zh8iEYPATPPcrhy3rNGIRwQCl+pcJ5uyfSi9naKVZL+3kqRu42gGlubgYeFhUM0IHbSzUjvM8uA40bEyjmfhpC105ZOXCfJaDBsTkzK2jFGQkkjC5Uiz4lulNDfrORKiREwUKIg4tcYwlqjQJxcxEqmlqTRIXiTIiFF8LQKx5rcbcIGnPAgCxodHqWlu4HwzVM8nTNR6llfU7etdXE9Qv09n8ZAi5wqa6nxuu8FhmzJJTS4Q5FxBtkfw5FOC11+HfM4kHlMIqahUwLEF+bxiaFjg+4J9+wQnjis++XHF4uUmu3ZJavJVnVsAAQAASURBVGsV9fVw8KDAtk0+/bMJjnW4WKZg40aT2lrJxx+p8PzrBt9+yiJTpbjzeodSRfLt1y28CowUBKWEgLKcjPvtEs5kQwNmdKTM889q3P/TBlZcUlGCY8MaL3zbIBaB61aHxsvhHo3vvGTxrz9UQpoQEWH47LOpTwU0Vvn0jgnaa8MVK03XyNlJTAMyybdN1KilyJcEaqqw2+/AbXy2nmaqep13NUecuy+EIfWtWBTN0BkbHCZTX4fjQORSe5ldgn6bjQYJmJVRJqUgVVPFmhvWcmTnYfKFCoeO9LFsaSP6gjZp/vFueN/4bmjDAtc0bW1t0xpIJ06cwLIsGhsbL2sd5mQg/eQnP5kySezpdHV18fzzz8+lmAWuGFfTqDr3ukopqW+s4rldY2xZrtOU6KFG7qK2v42t8R66MwF/E/kMD2lPoxkBbmASyLDsEnGUEqx1D9OQG0Xv9+hf1ECmPEGk7HAktYKSiJIJxsmaaQIp8IWBK3WcpIsjq1hp17MidpSWaA95J4UndAKlURYWr9XcwI3yLVq9fgJdZ7DuJrJVjcTx0Gdx2w73DVLf2njeNzE7OnWe2mtScWFlo8/7t9jEJyeyug7vvd7h5rUuYzlB1FLUZxR5V1Ds0jiQ1xBAVIO7Wl2eNQMCTyG0MEFqLKowDciGiyi0NPvUVleoSvoc6UjQP1ihbYlDJKIzOiZIJhWOA9EorFxpsHLlmdH5qqsUj97vcPC4juMEpJLgJhRvjBjkTwjyCQGODmNlzhRMScLoEh758QpxVaJ9bYyf7DD4x6ciOApiMcWBbo1lywPGPMFT/SYvmzpL1vs0pwM24eHtF+SzgmXtPlvW2wS+x6bFHvt7Iuzr1miqSVPMC9xA0FoTnLpKPR9GsoJ7NnjMKYbBJbxNz7HRpjjubFatpjqeEILjJ3T+8dtRJrKCRa0BH3jIprr6PGubs2xnxYPIXJ5oM5V39rZZ9n+Y3NlkzQ1r6TxwnPx4nsNH+mhbVEsivqBLmldcLY/AmXgH26AUFAqVU59P/3s+EiCuwArSu+GiurLMJOGRUnLDDTfwwgsvXNY6XHYXu2KxiGGcG354/nGhThbz4UK/XHWdD207H5fe7TGdjnJsSFHKK9oigjqjTNtgFzca+xmsr+Ktxi0kggLSg4ppEaNMH41s8PdT644jCgEVyyLQBLFSBdNzcHwLAgiEwBcSDZ+SH0XDJ0AwIDL8o3s/K7JHac4MMF6qpYJFIUiwOHaCYb2evakNuNLCVlXUpVrYId4iI6pZqdYQJUqAj08FiYmGgcqfQBS6QAWQaIXkkjN7bppkoV0jkm+9aeH5gngk4KXDBlFT8cHrzgxWkIwpkrG3J7VJQ/GziyvszerYATRFAlYmfdp8KAw7vPFGmdHROPm8jlKgyQDDgKam8LhmNIrUBPF0AtQEd9/h8+QzSXp7BatWKW67deqcSRC2Y+kinxe3mei64oCt48UETVUBXRkNuiC8VjzeNo7CVSQIkDKg94RHQdcYHNNwfIEfhaIQ7BrXOHpQUd3oM+4KiscMDvTppBcH/PWOKKk+xZYajzd2eFRKJdpX+bwlEgQrInhjCkVAa23AB2506R+TvHrIZHuXpOAKWjM+y1umiVB3AbfsyXM4XzVIU1EoaDz+bC1Dwz6NjTpv7QgfO5/51PQTJ8VkO6e5Zs/WOLzYbfByj8GjK21W115cct2Zoy9c3CHPRkrJkrVLGeweZLBrgBNdI9TVptASFxj/fIEFrgJOdI2c+rtQnD7FxAILzGdmbSB1dXWd8XliYuKc7wB836enp4dvfOMbtLe3X3QFrxznewpPt887wdn1mGr6Ml/qeqm59O1Kp8PJyXh5FX72epZU7eXQaCNWWZHWJki25hilGs31yKkqqhghL6qI+SU8dIzAQRM+Vfksuh+gpCStsmj42CICSmAHJraIEKVMOYgwSjWxWJk+byl6JMLS6k66xls5XFrNDek32ZTYjxb4jLt16MYSWl0DPEWP0YXj2KxMNjAhDuCSRydKasyhqvMQuKE4Ht2C+ltArQNmmGgCQzlJvixY2xJOLB1XcXxYm7HPTl5xCV1xc82ZiVRvuQFyn5JUSnm27wjIFywIJM1NHitXekQsg74BSaEgWLwoYOWKgGg8xtK2Ef71v4pSKArqahXR88wZH7zTwfOgo1tjaZVPemnAzhGdRG1AeUigsJj6XjHxVYSBQY1SGsoumFFFRRcITRHoglIZ3GENq0oho4pKUaD3SEo9gqwUiJgkKjUi2TQ3uAGdFZNlTT4TNZJPr6jQngyNuyCAfCDp2WeSiikCE36wz6IqUaGt+m0DsFwG3xMkkjOvqpw8h/NZg3Q241mN8axFa2OWqtoUENDdI6lUpne3O7VqNd1xz/q+7Am8AGz/4npmrhqk2SCkoKGtkVgyxvF9HQyP5LCKFWra69+9w/YC1xTtbbWn/s7l5/cK6UIUuwWmY9YGUnt7+yl3HSEEf/qnf8qf/umfTru/Uoo/+ZM/ufgavqNcLRf11VLP+U0kalExP8zAyPUcLlkMHYnRmPorJmptgmCcirQo+xGEniHNBBFlk/XTpMmj2Q4WLsIPEFKwRDtO2soypOpRQuBiouERCEnRj0Gg8KSkV9ZRo3nc3LiLxZEhTmQb2TFyM43GOPWWR2PMYK10icSSDJeilOwUg7Ehuko9DIkkMmikIRhgceUFbD1O0g9XjYSdRR5/Dr25hrEBkyDwqW1qQEwhoklEFLoGYwVBMqKYKAlWNp62ejM5CTzdyDrfFffe95g0N/k891yZrp4K6aTi1ptsNm5J8vobku5uRSaj2LDBQ9fBcTXKXi3u0DDLVtdNecz+Acm2nTrlsmDZEp+tGz0++UGbig2mAR05yV/vNZgY1CgpSSFtQdYCyry9emQCSSQGvV06Y16AnYZ0bYClSfJuqA9y/HDCrZJQKAsCB/ITIBqhlJLsbdKJ2jqxmE8u5+EK6C1rLEv41EbUqT7LlgWd45J1rT4NqVADta9f47UOg7ZqG4BX3jB49kUD34fNGzweeo/DlVp0v5wapJPE44pEQlAoJxEjeUbHqmhv8zEvVQRwAfe2O2xucKmLzWxgznCI2e1zsQvZJ+8fAclMinU3refQ9oPYZYeDh/tYvqwBXZ/55cQCl5n54igyF97BNghxZjh7X809p9sCC7wTzNpA+vSnP40QAqUUX/nKV9i0aRObN28+Zz9N06iurubee+/lfe9736Wo6wKXnavpyXB56io1jeqGpdzRAJ39BU5030mteIXa+BCyUGZQqyWfTJDVMvTIVtaVjpAzqtDSHlL5WBUby3VIlwqs0g+Tjac5rpYghYdQOiUvTsFO4vsGQzQSl2WW0o8hq7k9neSO1ASdfkCJFKa+gR7RR24kS/ZYI8NOFYNBwNHEevykIhmzaYqXadEbWGF5PNjUTcN4HIkEkjBxkGiigp1OUS4Up+2ulY0+d612eOWIwVBesrTe5771p60KnTapu+B+lIING3TWrg2wS2WCICCRTgLwyMMOfX2Sx58w+dpjEYolOHHCo1yu4PtVPPywy7/4rE4i8XaBI6OCr34jQnePxLTgjR0GlYrN7Te7RCZTQO15TlE87HLzcp+YqdOlBGPxGvyxYbBtUBIhqtA0g2RCUp3WcPMByToPX2lAgJICTRf4hsCrUeRsAWUBLlTSAnOTwhcKdEklqnA1ha0EWkzxaE2FGlMx4gh0qYhoUPEEtidoSAWn+jBmQt4O29bZJfnBkya6DpapeO4lk6aGgBu3zjCpuIo0SAD1dYoH3+vwox/rdHYbLF4S8MiDzvl1WLNopy6hfoaQ7BfEZdQgTYUQoJs6a29az/F9x8iP5zl0uJ/FbZO6pKtlKH638W7o93dDG64QC1HsFpiOWRtIX/7yl0/9/fzzz/PZz36WX/3VX72UdXqHWNAgzY+2nY8rF3q9YVEeGe9FD9ailS204qtsKndg5CuUYjdiGuvRzJ0Uo4JAJNBUmWikgpdT7NU3omd9PEMwQAMRzcYLdMpulJgqoYoVFmeOEzFcqvQiWXyKCiL+IoY0KOsOFcr0+Cm6hhZRVYZ03OVF0YCMeaQi48TTY4waDmXlM84KLNdkjSxgBjJcClAKpE52ZIy61sZp+0xKeHizw5Z2j4oraEwHJCIXP9ksFhX9/Qpd86jJ2BimfkYunEoFvv6NCB3HJS1NAc89DwcPGAhNoemSffs9xicU/+7fQCwW1vlIh05Pr2TdGh8poatH8uqbBrfe6CIlDAzAW9uhpVlRnfG5aavPREHw/R9qxKI1CN+mpwe6uyPEYootW8AwfAb6JatabfajGB7QsSIFCqIKP2aBLsAhDIIXAB44bwkoAQWw2wQvrDMZ1Dw8XzCcl7RHAjQBdZGAO2tdNiVd6hKKrjGN5XU+FU9QrMCiTGgwTWQlxZJk3WoPFAwNCyay0z9Mr0YNEsAtN7ksafcYHixRW1OgqWXm3Eiz1SBdks64AhqkqeotBCxZt4yh7gEGTpzUJSWpr0tfHUPyAgsssMC7kDkFaTh+/Pilqsc8YEGDdHVw5drlyRJKeOhBHAT4qVuoZNIkZYW4vwil9ZIz6sgUK2ik8fQ6CrqAskbTNpNiVjC+up7ute1E9AqWrGBKh+JEnBazi7hfJKLbVIQL0mfcKONqBmXHxjICxtwKtfkajubj9FfDES+Gq2lovka2UEdcK9NWd5CIqOBqJm8FjQypXlqVDcVeiGQgsZSqVIqJkXGqajPT9p+U0FodXPBkc7rdhoYUj33No6PDw9B93nOfyQMPmGf8qKND48QJyaqVPqWSYmQYfAWubRGxBEXb4J+/XeY998Jtt51WylkFSvH25HlsDPJ5waJF6tR+VQnF9Rs90mlBLGby1NMGjY2KwAfHBs+FpesCdowGjJiKJc2HGUjW4O6rA4vQEDpZbw84DgwBx1xIC1inEThwaEQnGQsoOgZx3eHGtMegLflmr4WxSPHoZpt/3m5xdFhDl3DTUpfbl4eBKupqAzJpn6MdGpapMAxFXc3MwSmm6IpLw2XSIJ2ksUFRV2syNjACzGwgzVaDNFeupAbpFKdf2gLqFzWeepHQsfcYpXJ4jbS31b17h/MFFniHWdAgLTAdC4liZ+RquaivlnpeXWjKQiiJLypoKoKnlUA0ofkCX+9D6B24JLC15ViOQvMVtmnTY9/OWEcOs9RDsraCO27gYlBwUqi8T0rkKCSrOTRaRVXVOLU1wyS0Anp0mLyKExM6gRPB0g2ai0c57LYzSIaKkOi6SyRSpkEMcYv5Eo2qD034IAWD0UUMV8ZorfRDpBZa7oNYHSagmwYj/UPUNNYjp0rmc5IZ3hNciAbpxRc9Dh5wWb7Mp1SxePFlwcZN0Nz89o88L9T5aNqk55tSuL4kQGBqCl8qChWdp58PWL9ekU4LViz1aG022HtAw7LCQ910r3OqPqkUxGOQz4d/Q1hfzxPcdpvipht9enslKIgnFCiJMmF3oNPzuMKJKWRjmZ7vNEOfC+8zISMgCtjAKHDYg54ApA7vk7ACyEEwBl4g0GsUh1ydm6RHWzSgo6Tx8ojBv1pW5pfvLDOUl+hS0ZoJOCkzaWkK+PD7HZ590cB2BO+522HTeg/fh95BiecLGmt9YpcpyNmV0CBddi6Fu9ts95mjBmnKTQKSmdANdd3NGzi0/QCe43HwcC/LljZi6NrCUH8lmC+OInPh3dCGBa5pzhfCO5vNnnefO++8c051mLOBlM/n+dKXvsTTTz9NX18ftm2fs48QgmPHjs21qAUWuKJE3SbizhKKZieOGEcqg3RlHXGnDcc8gB/xENooZbGeshhltJhjbCLghYMfwbZKuMEA+0pLSe2vkK9ECLIahhtg1Chkc4DZYlPxLMr5OFjgOQZauoBmJlgRNLNx4MfUZvdxxH+UXHk9RszCFgJdeWyOvUVMKzFMLSCoYYxWvZ/i0pvBjUO8FYzEqbZIKTFME6diY0Ujs9ITXagGyfd8RoYdIhFIpqNYUcXx44pK5cyndVubT21tQGenRnW1R0M99A1JUAG2rYhGPIqFgJdfCcAL2LRJ8N73aPzsRyu8uSsM0rC0PQzScJKWFli/QfHKq4KGeoVpwqEjEh/JwDj8z7/02LU7oH9QEktBwyIJdTo7uiTFYoA3LtkztAaOTtZzgtCtrkhoIHUp6CtDOQ4pCRHC1aQs0ATFiqDBC8iWBfvRqI8E5Gzoz+scrZWszgSkolOHn96w1mPDWu+UceI48J1nLLbvM/A8aGv2+emHbBpqp19ZulhOnZXT3L2m2+dCVpEu65xsPk36ZlOPi6i3bmisu2k9x/d1kBvLcfhIP22LakgmovOnD96tvBv6993QhivEggZpfnL33XdPm79RCMHevXu55557pv29EALPm1uAkDkZSMPDw9x6660cO3aMVCpFLpcjnU7jOA7lchmA5ubmd1EepKuJs9szpYPIeX4znzlfey6kvTMj0KgubyHmtuBLG92PE/HDCGuWvZXAr8eLPcmYO0DvWISKFyM/vpbqSBNyrWT7yBL6JxxyfRE8oWOZZapqx4lIm+KJFMVRRbS9SKohT9SHMacWdyKCqDaoKZe4PXuM8VgD6xrGGSwVyKs0ngEpkSNjjlMwokQpUx2EEfViUuHHDWD1lO1J12Yo5QoUc3niyUToozZD+O/Z4FQcHNtm7VqDI8ckR44EVCqwYoWgsfHMAqqqFB94v8P3f2DS16uTrgpoa3XwNA/XU4wOg6FLvIpLdzf0DwSUSvAzH4f3P/C2keA4sG23QU+/JJlQ3HKrSyql2LkT+volo0WddK3O//0HweEDJqk45CowlvPp7AVZJymmBJ6pwwCU8ycNSgn9k90YI3S1yyqwRZhntuxBRcCwgCoZfudC/16NpAx4VpkoIFKtiCQVX90T4bPrbZZV+4iZ3Ngmv995UOeV7QatjQERU3HkhMYTL5r83E9VZgzXfg4nI+llBfsP6NTXBSxbNk2OoBmOqU6To83V5U0ISSwRp5grEE8lzrv/Ge29mOtUgbrchtv5mGXhp7d5ybowZ9LAiX66ukeprUlSX586b+Lna5GKGxCcfrG+y4ga2iUZqxdY4GpBzeF+nstvTzInA+nzn/88x44d4ytf+Qqf/OQn0TSNX//1X+d3f/d32bZtG5/73OfQdZ0nn3xyzhW9/FyKkedSGRiX4jgXo0m6mkbf89X10rRFoBH1mqbe5rZy6NBDHBs/hmnlMYNWShNr0CbDc0VtnXxRx41q6NIlUzuOoXtI3SdRXaIwkmJsdx3+IoN04wSJwEW6glIlwi7bYp1nUIXiA4k+3qu6+L/GT/FDvQk9bhONFTG1EpudvTT7g2hKYUnFkNlOVttAeor2CyCeSuBUHLKj46SqqxBSzm7SfRZKQaVUwvd8IrEot92uYUUUBw8FJBNw++3aqUALp7Nxo0d7u09Xl8T3FQcOuvzzdzSef0kiJQSuxyuveLz2GtTXC/I5wR23SxYtEqfK/dFPTJ57xULXFbYDB47ofOajZe69R/GdH0uCHQaZhM8rL5hkxz1QgnIgqanxyRd9IilFcZkOB1Ro9KiTb/kkDALHgA2ERpKU4OvgKdAU1EqoE2H+WQcYB8cHOynwhUJVBLlRwboah7Iteea4wdKMf0H9nM1LAiVIJcIBPpNW9A9fxHma3Pf7PzR55VWTxkafX/6FMvX1s3twXKpJWeAHZEfHEUIQS57fOLokZb/TxtFFcHabGxY1EE/G6dh7lJHRHOWyQ1tb7cyusu9C8vbMb4MtXWKcNzTi1UvB8ZjP9t+lmJC+EyysIM1PguDSe0zMljkZSD/60Y+47777+NSnPnXOthtuuIHHH3+cDRs28PnPf54//uM/nktRVwmX6oF1bT34ri7eXpna0yV5es8iEpFF1CQV5cktDjCgBC9XSypLwn0DdIpGHDkRIe3mkJ4ikimTPZqh941FjDXWEMuUSUYK+MUE8SaL/d5Wbht6lUXpIerTDWxtqPBzZpmvelFsmWar+zpLvW7GtXoMFNVBjmZnL1j3gsxM2wIzYqKbVUwMj6ECRaqmCqlpSClnjBh29gQ9CBTlfBGEIJ5MnMqxdOONghtvPP8DIZVSrF8frmhs2qQhheDwAZ983mNgwMXQBX4AQ4M+zz0Hhw7pLFoU/nZkTPDWHoOmep/qKkUQwL4jOvsO69x5k4tpQs+A4Nn9EfqHwuS3xYJPoJsMjoGRUchqiT8mIO2DCIDT8s+UAtirhW52q4A2oFsLO2GZhJIIV+A0YByoACnwPJgoQdxzEErDygM6HHE0io4gaZ1/ElGVCpBCkc0LLFMxlhXcsN67aGPB9QSeF+qxfP+kmijknHXmi9EgTbHvlNuUwnM9aprqkFf7RPYKL7YnqhKsvWkDR3YcpFiyOXykj6XtDZimfs08LhKmNuPKmTj13xyZp44UupzfkvF38+rdAtcmc7rj+vv7+ehHP3rqs6Zpp1zrADKZDA8++CDf+MY3rhEDaYF3P+GTcygreOWQJGpCTfLtB8OQEBzRBEeqFSOJAKkrAgf8vKTiR9HqfXJZyNijeI5OIAWYCnvCQtR6FGUd3ngMO/BILr2Lzng7z8kyP9PYzJZoHXcBN+gpTnAHBC8TERotQmFjUZSbWOFnSQeDMxpIEGqSqhvCbOe5sQkCP8CKRUOtkmWcOYGdQoPkuR6VYhndNIjEzsyUHgTwxhGDfd0alg43rHBZ1TKNa9dppNIaUipyuQAhIBKVOA5omqJQCOg45mLfBlbUwvUEriewrGCyPSCEolxyscs2pqhwYH+Urk6F5wYooVGsSEzDRUZ9UhmDTLMkNyDxYwYkXRg9OTPywZGh4bMX6AEagGbgiAJLhvumBVS//ZOqsk/hGZvRHTZjFdAtwY8Wa9RutFi0UtC1XrJu8fn7YdUSj6bGgDf26egabFnt8sAdzhn7eF7Y5guxMx550KatNaC+PqCp6cy3cu+EBumijaP5NHG9zBqkqdANjTU3rqPzwHFyo1mOHBugtaWaVDI6ZQLodxtCiCvjYjZPu3K+u9fJBftogXcZczKQ0uk0rvt2QslMJkNPT88Z+6RSKQYHB+dSzBViPj19LwULGqSZt188fgAvH5LkypKlDW9POEeEYL8mGUx7jDQopFQgFDIOxAXOsIFhg52KUBqL4Zd0pK7QYj5+QacyHkO0BdhljeyAzogMSDcuYWegg+dSTcBiJDEEa2gkELfiq9fwVTsGcaTyEFRATB3y7IyzO6nN8Fw4PFCLlLDCzCFxcZ1wMh6Nx9B07ZzjVEoVPNfFikYwrHP1hS8fNPj2axaGDo4HR/sln77HZmnjzMbB6lUBDXUaR4+GUe4cJ0AIgesoYjFBPObjOQGu4xDRoK3Z4sBRjfqqMvmixJAe9dU2nuPiU0M+p+HZHkopdB00HfB8kppGxo1y91KboifozkqczRa8UoGyMdk5QbiKZEsoEAZk8CX4DpyQ0CLC1aUuBeM+Qmnkttm4OyrhzzFwyzrDWUHeDtCaNP7yYIRPpWw2pDwi53Zr2Lc2fPPZCL1jGumMwvME6AI5uf/gsOCV7QYHjobG0+Z1HrdudUlMlSR18oTX1Snuu9c5d/vpXAENkpCz0x+dLPta1iBNRfuaJQz1DDF4op+e3jFqqhPU1aXQtKt8VW6BBd4BFsJ8LzAdczKQli5dSmdn56nPW7Zs4amnnmJsbIzq6mrK5TLf//73aWtrm2s9rwDzaW1+QYN0fq6MBmkqekYFx4ckLdXBqYlMAHRIQVkqRpo8fE0iPAh8AZpCWj4qKXHsCK7n4zgGRtFD+gFej4Zb0GHIRKgAWaOoSMVo1mRZg4OZCzg25rEvKVh8mi+z1K9D+scx/BEgDxRA3wSy9fw9Mjlp3HVE5x+fiCAl/OxDsGmlh2u7KBVQzOXxPZ9EOoVuhoZQKV8AIaY1ngDePGIQtRSL60Ljcc8JnYO92nkNpPb2gM99TtLRqdHb61OpBOg6JOKCzZsNVq0xiKXAtW1MC+67vh+nlGQ0F8OQJT5wv2TzRgshLPoHBbYdOjcmkwLXFdieQCqNSslnfBgOvqVzxxaH1w8aHMhqsNiAbg/KEgIJ2OCbkD/ZTglocMyGgoSiDg0CfIkqgbuzEhpWSMKhNYBWiX2dzgkp2V/R+fs+QUuHzw1Rj+qYYt0ij9O78UCnzq4jOstbPSJWaIzv69B5c7/Bzetd/vG7UTq6JXXViooN33vKpG9A8slHK5wTC+cS3QIX+ub6pCE13f5SCiKJKGMDIxdsIC1okKamvrWeWDJG5/7jjI4VKFccFrXUoC+EAl9ggQUWuCTMyUC6//77+R//439QKpWIxWL80i/9Eh/5yEfYtGkTN998M9u3b+f48eP8wR/8waWq7zxnQYN0LXC4X+IHgoj59qv1MSGYkAI37uMaCunJUPopIQgEgS8RZgCGQqERWIqyZ6KOAYMSEfdReYnYHiDuc/ENyBV18iWTdMJjYkJysMXnAV1HO3l9aMvA+gh4u0DlQC4HYwuIaZYnpuCkm1boohZ+Z1gGCtBNE1AUJnLYIzYoRaIqRSQenVkLICZf259CcaEeQI88EuD7ki9/xaK/18MwoaFB8r736axbF9bRjFgoBStWGSxbAaWyg2kILEucCpNdygmUp/DRsB2FryQEPqmIh+1KrGrFwIDG3VUuTYtshndGyVsGdrWEITc8iFKACxiEQ6Wc/GfAoILnAnjECPMl7a1AUCEUJU32v1SwQUMZCqMnYPN7POwBwTd2R9gZ9WmMBNy80uXDN9lokz8ZnZAECiJW+FmTkIgqeoYkuw/odHRL1i73T+1fUwV7Dukc6dRYu2J6AzTwAy63B4xrO5SLJVLVVTPWAxSBHyCv8IrH5Voff6fW3RPpBGtuWMvR3UcolyocPTbA4rY6IlFz3rtjLbDAfGEhSMMC0zEnA+mXf/mXWbt27SkD6UMf+hB/8id/wu///u/zzW9+k2g0yr/9t/+Wf/fv/t2lqu8CC7yjuB50DgvSMQX4ICeAgAIZAizykQARhAsJgQYECqkDCgIBmuHjC42IZiN0n0IuBVGFSIIqB1AAVQYZhYoLvi/QNdCkSbGUp2JAPHqa5kdbFv67SDat8JCigpSwftnbUaIETOoaBKnqKorZAq7jEKhwcjvd6hHAjSs9vvWqxeE+DdcV1KV8VrdeeD6C979f0N4u2LvPpFKGVatg82YYHZX4PjQ2BuzbJxkf16irU6xfH5yha/nhD00O7ddoqVPkc4pyBTQ8zMBBGj7trRo33eKRzwruWOvw/IjJ+9Y7HDoiGbEUxwN90kOzBCgwA9AC8DSQWpjhViPc1q9gyCU9kicrfNBVGOkuakJch5wALyC9BGIRxeF9OkKH+oaAVj1g21GD65Z6ZEyPw4cVHYcdJoY1Ki2KiCUIFBTL0FQT0NMviVicMo4AopFQjzQyJgnjjYcUi7DvgI5pwvq1HhNDI2j6zCL3S4EA8mMT025XSqECRX48S7p2Zp3cSXwPhobDACL19QGTl+UFc7E5XS+UOR13Kk/oWRxQ0zVWbV1N9+EuJobH6egcoqmxiqp07IoboKe40DZcrGU5m99dTV7jF8LlbM+7ra8WWGCOzMlAampq4qd/+qfP+O7f/Jt/w6/92q8xMjJCfX09X/rSl/jYxz7GN7/5zTlVdIEF5gPjJUHJFtSmckhrD77eRU4oOtUm+kvLGc0aqLTC80AYAqGB9BR4Ilx8QCEEiJJP1CxTtBKonIZyCBOSnrR9FOCHKyKBAs8KWBqNUhwYJb5o6rDjF4OmweZVbxsvCqbM1RNPhy5RdrlCuVjCikytPwK4eaWLqSsO9uiYhuK6pR7t9VOE7DyrnFMTWQmbNoX/TvL0MwbPPmvi+QJNepTLCqXAMOD9j3hcd52HbkB2QuOt7QbLlgasWunz6raAbW8ofM/DMqG2VueeeyS+p2hd6rOsPWBk1OOltwxsXWKkYfESjxNdBqg0uJVwEUmTEJGTtfTC1SUlYFhimBXKmoQlSTAFOHoY5c4JYECBpdG4wUMGis5dkqwD+7o0hpUg60geV/DyUy7HjtpICZ5Woa8zzsYbIrhK0NoQcN0ajzd36TguZ+D7oX97LHrm+tC3v2/x+jYT01R88BGbtUsgmUmjG+9sJCzf9xkbGCF1mnFkO/DSHoOuIY10XHHrepfG6gAUlCvwzW9Z7NsX1nvTJo+fetTGss468Ez5pS5PU6Zmqnqo074WZ+0jTvs4S2Pp9M2LVrYRTcQY7Oqnf2CCSsWlri6FYVz4avIl40I7/GJPzGx+926b8F/O9rzb+uoCUQiCBQ3SAlNwWZ6WmqbR0NAAwPbt2/nOd75zOYpZYIErTr4MtqewYnsoWm9xlBacrElloEC/sAgSErPJRWo+fkUP50OBQkYDAjtM9Gd6Fdqjx9BrfQrL4pQPJ1EFiYgFiEaFUAJVVlhGQCLmkwUiBmyZXCWZS96i83FqEjcNVjSCpuuUiyV838eKRs6pi5Rw/XKP65d7087xFOe24XQt/um/y+cFL79iYJoQNwKeeELnhhtcVq8OOHAA/tf/CVixzMeKwKJWQT4PTU0Kw4AH7pOsWanIThg8+JDL/n0a+bwgXR/w8EM2jU0BWhSiVbAi7VOyBcMTYcS7iTGFRzSMZFHxQ087U4bhvYUEx0cesxGJMm51FJGSqIIH5qT+qFSGEQ2iBgcfh/0/1CmMBfiuoC+QZJp1qmoCtv+gwvhwERWArkEi4eJVPFI3KW69VWfzSpf6asX6VR6v7zTo7JG0NAb4PnT2aLQ2+qxc8vbqke9Dd49GMhGQL0j6ByRrl1zgBXClOC10/A9etXh+l0HMgqINx/s1PvtgmeqU4vXXDV5/3WDx4gCl4NVXDdoWBdx661mW4nyZf0xVj7N1UNNc97ORjU51X9U21xJNRAmCgN6j3XR3j9DSXI118kXGfOmjBRZYYIGrgPkdWH+BBeYZQQCIMhV2clw10t7dRe3uEf7c+H8JWnTIgtdlobXY6JZDgA4IAkdDlMDwHFqcbtbEDmAkXFpjPeyvXUfv8CIcy0B4CmH4iKKkrsWhVO2QLwk+Ymi0OPD6SJzhnjI11UmW1/gsrVYoFVzyCFYzvbzWDZ1EKkkxXyDwfSLx2LRJKy826Nnp2zVNoWuQKwo8H3Q9DF7guoqduzwGB3xGRxR+AJmMRzLp0NdnsnhxQBBAPmewdavLgw8E3P+eMsWiIB4PI9sB9A9J6jMBLY0+RUfwo2dMLC3MXF/yBL6hg+uD8hG6jxISpEJ6DjgKp5yAUR00gbQ0AkW44iRFeMF4AePdLng6RASUAzwXRjujaL7L6GAJKcCKCHwfig502wbHBn0+t9anKq7wfVjUFPBTD9g89aLJsRMamoT2Vp/3v8cmdVqoeU2Dm25wefZ5k/o6n/VrXISUl9297kKQUqO6oZbxoRGqaquZKGrsOqbTXBNQnQrP4YETGkd7NW5MeYyMSkwzzJkF0NsLY+MX1453kwZpuvLiqTgAKzav4sSBTo6fGAYUzU3VJBORayIc+AILzAaFRF1mjdDlPv4Cl4cFA2mBBWaBJiEYPkF5kUtDdpjW3b1s169jxK0PA8mlIRjQCXyJlvJRQqGUQJV1onqZBHnaVBeBp2OjETeLLKntIBYpcWBwLX5Jh2GobXBYuqSCMWKwKatzX43Pl3dYdIynAEWlxyZmSO5d7nN9apDqugxWNHK+6l8w5zVgpCCRTlIulijlC0Ri0cvmvhWLwUMPOjz+hInrwYc+5NLfD6+9Lujv97EsxeCoRrkCvf0BmzfaCGGwd18YzqKlxee+ex2ECI2H7m7Jzp06xZKgpTlg1zadN97QMU0dqSn8ikBIqMoopK4oFCSB1NCrJdEanUI+TJJrGg6VigC7DHkHAkGgxyAdhaoAaeggBYEXhEIaoYNnhqOuZxNIj8FxHWla6NiYBlSUwKuK4KZjbO9XfPMVm49dlzvVF+uWxVjSLOgb1NA0aG30MIywCqdz6w0VlreHxoUWjFNVWzujbuxKIUSom6mqqyE3NoEdJFDETq0mnm3D1dcFuA6Mj4eh35WC2urZhZt4N2uQpkPTNZZuWEbf8T7GBkfp7hmlrjZJdSaBfrnd7hY0SJePBQ3SAgtcMRYMpAUWmAXJKATDXeRKSZYN9GDnTEYXV6OyEnKcigTNhMS3JZMLSAhfEbcqrNX2sVbsJ0CnSJSyH6VUTlBtjJMRE4zY9bSVAn42o1AdUQp5jQ9f7/Byl8mxMY3VdR66BNAZKQme6fBoXl9NynVx7TzxdHJO7nfTaZCmIxqP4VQcKqUyhmliRc8Wh0xP53GbE10OhiFYvTpCplo/x73uJFu2eKxa5eH5glRC0XlC8MY2xeHDAWVb4nga8YRioB+yefgXny0zOKBjmIoVy31S6VAIsu1NnW/+cwTPB9OE73xHw3Fh03qX0QmNYg4CO6B6CWRzEsOEpgaPnkGJniLMXxRR5ExBRZkQuJBVMFgBAvDKMJoA4ggrwA+AUiWMA5/UwZOgJCQBu4LKO/hmkrJm4nkKLxpBlTXY6zI06PFUyuLuZdWsXBEaB6V8AVOH6rSHJkGg8M7yNjtJzSmZT/yiVg5Gy4KnukxGypKNtR63t7gXHI3wfAgZBv+o9AyybnGCl/ca5EqKYlnQUhuwtNkHBTfd5DI4JNm9SwcBd93lct31UzT4GtcgTUfzkmai8SiDXQMMj+SxbY+6uhSRyNT6wUvCggbp8rGgQbrkLESxu3pwXZe//du/5fHHH6ejo4NCoYBSU78wE0Jw7NixOZW3YCAtsMAsqIopzEqO4YEMq7MdqKgkpWWRpofvmGHgs5MPmpMpcVyocirc1byHddpruK4II5tpWcZkNSc0DVNzaYhOsLxJ5/1rBCNjEXQNHtlss6je5/udJourgknjKKQ2phgpmhwppNi6xGaop594Ojmn9p1PgzQVZsRE0zUqpTK+5xFNxE8ZadNN4l55tcAPf5glX/BBCVqaDX7mZ6ppazOnNZJisZNHhPZ2RTqt+Md/hLd2QrraRwrwXUV1rcbSpYqlS8+cSHsevPSSidQVq5YHuC7s2qXh2IJlbQGrlwX090ueelon5vokLY9YlYbvC2QAegC6rjASAtMSeOMegeNAxgoDMozmwdQgrkHaxI+GocVJxqA8GVFiQoBbCv3oCMJ/FR9MHTetA07olickxX5B9y6Xxx4T/MLPC5qboeIlefxZk6Md4QrSpvUe773TITp1buA58b0Oi7eGdJKmojNnUWUpNtZdeDTCmQivM0GmLsMdcoBUvIHOAY10PODOTS616fA8WxZ8+EM2994TrgBmMmrqFwDzZXL3DmqQptueqc8QiUXoOdZNLlfCdlwaG6pIxCPzp98WWGCBBWZgZGSEe++9l3379k1rFJ3OpXApXzCQLjuzeZQtMN8xdFgRtzl8sIZSnUkyKNFoDNOg9dEnF0N58pXwyZQ4CqRTYWNxN7eYb+ElXbSJAOUG+CIgEvcZwcEwbVytTNuSPTh1AWviW7h5acD6RT6HRzQKtqBSFAznBYmoYlWTT9yCqKEYL4fXT11LA8O9A9S1NF7xPCiarhFLxqkUyxSyOeKpBFLKKa/sfN7n2WfzaJpg/boYQaDYf6DCCy8W+NQnq4ELuyMyGcEv/LxG139W9PSG91FDi+QzPycJjY8zKZcFuSykJ/UsUkI0CiOjgr4+SU+PxpGjghMnCIMwEBphdXUCIQWep9Ai4aAZ0yBao+jvCcLamhrEk5BMgmGGIcFLGqSCME+SC+Qk+DYUfd7OlzQZFc8pwoQDfgW0MEKeE8To74nT0SE4fhwaGuCbP7TYc0CnpTHA8+Hp50OD8v0POLM8YzPjBdBflNRHFY3xgL0jGhPOpb2ohADDMjEY46Gbp6+/lFBTc7mzOF1dzEbDBxBNRFm6fjm9R7vJjkzQ3TNKfX2aTFV8Wv3gAgtcCyjEZY8ytxDFbu78+3//79m7dy+tra385m/+JjfccAP19fVnpPi41MzaQHrooYdmtf+ePXtmW8S7jNk+yhaY76y9+zpe/p8vc8JJsdYt0eT3cX/VM3yn8EEmytXgSJic75miyNqRN7kpfozo/mG8Kp+gCvxoFN3XSGQrbKjuokNvDEMcL3dY1j7KXZEJYiIUXPuu4sW9BieGJYErkBo01/rcv8klkNCUDI0B13Yu6M3K5UIIQTQRwy7bFHOhLskwz3XlGRvzyGZ92tpMAKQU1NbodHfbBIG64Anb0JCiqkrx659T7N4vSaY1Hnwf3LB5ipDiQDyuaGwKOHxYJ5MJk61mqgO6uiVHj0myE5LxcUUk6qLrgmJRUioF6IZHIiMplgW6BEMobE9gpk1IaOEM3lBQHw1FTr6EIoCAOgkREIZCjQTg+EzGcOfte18HbHALk59ToCIEStLfLxgbVwgh6O2THOvUWbrYJx4L91RKsXOfzn13OJMrbJcGXcKqjM9PegyGyzpVkYDm+NT9etmZo05nXr+CukwapKnQNEnbqsUMxaOM9A0zMDCBbbvU1iQxzUv4rnRBg3T5uMwaJMcXlFxJVXT6pNMLLPBO8IMf/ADDMHj22WdZvnz5FSlz1qPiE088MetC5kP0pAXOx7vtSXL5WLZ1OasTz3FgX4R6bDKjZdau285S6yDbzJvYL9dRciNkSr2smNjJcr1AQ0bgjVXwPB0nEkFIMHUd5bvEK2P4wY1sXTHM2tW91Ml6LBVqeVwUf3MwYChZRLMMYsMWniPoH9V4fL/gntUOm5tCt6eJkXESF+Bid7nPtBW1kJrELlfwXY9I/Ez/r0xGJ5XUGB31aG42UUoxOuaxdUv0lFbmfHXcvTvgO9/1GRkJDcJoNOD6jQHXbdTC/ESn/fjksaSEe+9xGR6S7N2rIwSkkoqPfNhmxw6dUlGRSnkUSy4lxwDNB+kzlpcEgSCTVrQ2hOG1h8pQDjSiMUV53IFIJAyvVyQMBx5TkAAMgXBgebtH16DCDiBc3ToZlYAwqzAOodFUByoJygMCPM9kYgKWLvMoVQRBcGaiWE0qXBf84KRjYshEUXB0UMPQYHWzx6mUVbM4+Q8vsamLBeQcwfK0z/Kqi5g0TVHejFWYaqN4u2VT6njOd8x5wjl1nKatsznWlO0+T2fUt9YTiUUY7BpgfLyI43jU1aaIxy9cPzgjczGOLuRELmiQLgsFR3J41ML1BTctKl2+guYZAeIKaJDebRfilSebzbJq1aorZhzBRRhIx48fvxz1eBdx+gh/Ma/S3qlH/Tt1A18NU5vTCVc4HvrYVnJf3sNQvpX4iU70CYg357mv7mnusZ5FGDqkJCIBkMHxA3wzQq4xRrkhgul6RBQk/QzD2VWsWtrIx9ZDRiSpUjVo6KDgJ6rM6ylFdF2JpC4p76/CPREncKFUgsXpgPZMmCMmU1dDMZcnlkzM2IJTvT1D1ysUQzi4KOoxMS/0ATJ5TMM0kJqGXSpTmDgzeEQqpXHX3Ql+9KMse/aWQEFjo8GddyRP165PS6mkePwJn1JJsW6dQAjB2Jji+ecDVq6ULF9+5q9Pv7NWrvT5hV+ocPCghm0LFi3yWb3aZ+dOna9/3eKNN2HnLonj+cSiYShw1zdIpBW33OqiBEQjkB4NGMxKHr2jwtNPuRweNvFRoWuer2AxkBCQC4Ne+LZDvEHi9EqUc5oxo07WMCAcjqMIXBA+SnlhTrn6GJ4b0Nrk09Lkc/yExpI2H88X9A9KbrvJJZk40zj6uxcjHB3S0aTihiUuP32zja6dp2PPIqLDnS3TRIC4UKYo7/SvhBCka6sZHxoFoKquZjoZz4xfzNSsGZt8BYafaaPozaHcGe+TCzhuqjqFGbEY6OwjO5rFdcaoq0tRlY5fmeF4ujKupkfBu4jRksaxbAJPj6D5+Xe6OgsscA7Lly/HcS6tK/n5mLWBtHjx4stRj3cR4qy/Z6tButaeEFdbe8Nz2nDTBt7TOcozu+oZHNVoKp7AH5EooTPuSmqWGtS2RwjcGLlBB+U7lFuS5NpiCCBS9vGsNJ1OPdFIE49sCViVrj6jpIIIOCwcjEoEv8citdgm0lqgfCxG2YFltT5VZsCuTp3XD+ucGIoRC+ADd2psaL+At/0zGEfbyLFb5HEJWEyEe1QNUS4gPPBpx9Q0STQRw6nY5MYmSFalkJP5mu64PUFTo8GJE2EUuzVrItTXX1hkrZ4excCAYsUKcWp1urpa0Nen6OpSTPeC6WTVGhsDGhvPdBfbvNlj3z6NgUGTfEFnYEixaJHL2g0B/aMKPeqxZp1P3FK8+YbOkT06AeCtMPnMpwV/923oHApjMSgXGAsgqkEJYlaFcjFAT0nSSxW5QxpBxePUtFm4RCyJ40AQCJTyEMJHCI3qasHIqM+2N+GnHoWfetDmO49bdPeFQRo2r/e4/64zHxpHBzWODWmsbfYo2oLd3QZ3rnZZVPMOucjNgBBgWhZGjcHowDAjfaGG7spV4F1RxEURiVm0rVrMYPcAI30j9PWPh1HuapOn7tMFrg0cX1D0dJJRDd9+p2tzZVmIYnd18PM///P8xm/8Bm+99RbXXXfdFSlzIUjDZWdBg/TuQyBMk3WfuI/xhk5efDHJSLaVZXWjGHIUd7QEyWqoWY6bWM5Qy07M4gRuSkcKHx+fClFG+luIWTofuSlBW3uRMvoZRogGaEKwYpHHiRMmBVeh5SVuQVCbCqivUfT1a/zOMybH+3Q8F4So4ekDGp+6q8In78wiRLiyYEYiFxy4IYfHPlEggqQGg+OUWUaFVcRn31NCYEUjSE2jkM0TiUcxLRMhBCtWRFixYva5m3Q9dDPzPE4lez2JdgE2XFeXwwsv5CmVAzZuiHHjjTF27jTYuUtHSo+l7T5CaniegRcENFQpXA9ef8WgYiuO7A+IWgUUgv+fvfeOs+so7//fc+rt927vq96LbVmSLVvuxgXjCjEEYkIgmJKE9OQbIOHLFxMDyS8hpEACoZtienEB415wkSVZVm+72t7L3VtPm98fd1faXW0v0kq+79drtdp758yZmXPOnHlm5vM8T/za4ILLDd50hcfrOx1eO6LRm1Xw+lTwwPQ7lJkDxDttbNUgVK5jRHSCrVlO1AtEgSRcq7K4tpqm13vpqXNAKggBoZDG4kUaju3xzDMeK5fDuvUeH3pPmoYmwbFjEgUX2xIw7AWsqbkYtWlLkLYEmiqZ79A3s0EIEKpCcWUZHU2tpyfIa5DmDUVVqFhcic/vo72xna7uAbKWTVlJFHOmrsDzGqT5Yw7rk7YVbBcivoU3cZInz2g+8pGP8Morr3DHHXfwH//xH9x+++3zfs68gZRnkPPtTTL/CFVlzaYyKqslv3kkw8G+MoIiQUWNTXjNSiioxBAantlMyifRrSSWp9IdL8FLFrO0NsnlF0JnTT9HsQmjcZksoYKcZsePwhZpkqlN07o1ybHjJs7xECVFHjXVLtUFHi/u0dmzTyWbFigC/LqGjstXfqVTHVHYvj5Lon+A0upyhq7vVNY0ITfkVob9PRt0Q0eJhMgk01jpLIqqEAifbnBNqK0YpKZGsHiR4MgxyfJlOSOpqQliMcHy5cqE+pSeHofvfq+HlhYbv1/h8OEsui7YtcvP4cMuhw7b2JbEMF10XZLsUSkugspySUOzoLUpi4lFeQE4rqS1zaEqqPLeO13+rSdAMuWSjnj0JwW26qFG0ih+BcMDF43epGBFeZq33dTNd3aV0qeHcBzIRGHLu0yKs1mOPgNtrZLKCoVwCNZtcHFd2P0arFuf22L4N39t8+RTWWw752Xvb//a4N57dRRFsLrC4eIlNnubdDRVcuUqm7KoR8aB3e06cUsQMSQXltn45vsNME0NUigaJtE3QCg2TEuX1yCNm9dMNEhjUVBWiOEzaW9sY6B3AMd2KS6OEInMwH98XoM0f8xhfSxX0JFQaR0QJKw37gpH3ovducF1110HQEdHB3fddRcFBQUsW7aMYHDsiVshBI8//viszpk3kOacvAZpepwLQ5vhjCxvj+5w4pIAi5aVUP5ShkzXMhK+So6mfRgWGJrEYg3tTgzLtlGUNGVFcbZsbmfbEo3j5iK6yFKOjw6yvCK6eYusQhkcFV4sfFSg8aYlHid0k72aJONlqKl06ekQ/PC4SSYlCJkSRYVkRiXdC2jwxL4Y11+SJNmf21Mu5eBs/dhVOUkUjTUyyB4xQB8Oi/BTyxRXeia4nKqm4g8HyKTSpBOpMQ2kqWiQdF1wxx0aP/6JQ329xHWhuFhw040qVVWnHzn8yWpttWltsVmzxocrFXbvc3j5dY+Wdth/0EZ6ksIiQTLhMTDg0tSgsO0SSSgkcV2P3TsdFKHT15frOnXNQmay6KpKKCK57QaL7h4F14WjdRbJeC+lywPsO66h9CaJ2TaL3CSHm1UqV6msL/SImJIokoY6lY54gC3XZXn9gEN1oY1f2nT3SBozOvEWg9LD8OP/SvHQ4x6uHkTxKzR2Zfj0Z7JccIHKtm0qPgN+d1uWll4bTYWKmIflwvcO+NjVpuVuAik51KPwjjVZzPl8C0yiQRqNlcliZa2RBtJYx5yHGiTX9ejoSOPzaRQUTOwwYbYapNMKBwSjQarNGjqaOuhu7aK1rRfLciguCs99G+U1SGedqM8lnlU40h/CNLVBD5uDnGuv5TznPU899dSIv3t6eujp6Rk3fT4O0oIkr0GaHudafUde0+agQ7vqsHhxKcZS+AMrSKJD0hHP0tyrMJAWSFHABp9DuLCd4ojJutJKYloEHwUcoI0AHgYqITQyuLjInIE02DSVaFSqsG6R5IKaNA87CnUSdkmN+AU2yosahppLbJhgWwoh4dHRp9CfFBRXldHT3kWsuBBFVU9ttRun6QWCrURZJP3YeJRi4JuK/miCPIdQFAVdN0gzOy9J1dWCD35A48SJnBe36mpBJDLxyQUQDCqg6+w4atKZDdLYIeg9bOI6Ol2mSlRxUHQH2xWoGvh8Ht3dKqYp6e4WhEOSrgGT9j4VNwihGpW2IqjPgG5IFAOWLHfoGXDxdbvEVNhQmmRTmeTwgTgHDmmUlyisuzLKgazOBbUOJw4pvPqUjmVBS1LlaJ1CWjq81tiLXWdjJUDqHvWNErsgyMP7/dgBMNVc0FRbDdE5MMBzz1ls25ab8ddUqC0+tXXmQLfG7naNpQUufg3Sg6tJF5S6XFg2N8Ff54JoUQHdbZ24rod6JnQwC0SDZNsuP/rxcfa81o3fr3HbbYu54ILieS/b6MIZPoPKpVWUL66gv6uPtvoWMlmbivLYmbkeec4oqgBDg3DYdzK8QoYorzRLtlSnz3Lp8uQ5xZNPPnnGz5k3kOadvAbp/OPUNSsK+jmYydCIy6KgRlgX1FS5rKka7SQhMvgziJTQeoR1mRZeLg3RHC7AQbJBRtFHCzoH7bGMhB+7CiekoFZIig1gpYudBus1HU8CriRrQ3enwlFUfvSEyaXrHVYtKmGgrxdfwI/pn1yPpCCoYI7c/s7TbKRhCFasGD/j3oTgRGfOsFtU4lIQkughH5mCCvbsB004rFwEWy9QsD2bXTs1OroMehM6qgGFMVi52aErJWh5XWPZIoeUq3B8j4q2DJIlKvETKo8+qvHic5Il1R5hFbqDkJSC8krJMsOiuTGFwMNxdG64IcQ1V+vsb1GId7hkSuHl36ocPwFd9TYDXRZqVEPGFLyyAsSWLHpbFu14lv7jFnVPQCYQBl8WNwtCUUETeJ4P286M2xYpO9dO/sEe359zkkjSntsLM5tLPVqLFCsuwPRPX6N2LlJfP8Arr3RSVuanszPD4080sXFj0ZzMgp68JlO8OIoiUBSVovIiTJ9JS10zDQ1dFBeH0VQVf8CYdZnOOvkVEgAqIzaSAY70CEpKcqu2QijY3huncfJOGs4NrrrqqjN+zryBlGeQ/BtjJqyy/PRkU9gZm62eSSw0xY7w2A7Y9QgrrTQFxSUcv/xWQqFiVhE9LelQWJ8TEpo8WCEkuoCLyh1eOqjRtMgj87pESQqsjCDnIVzSpQm+/LyPh17wuH6zze/fInCdBMn+AYKR0MmYQ/PODAT1s7obJfz2kM5jr+l0D+SuR1HY49IVDvvrVMyoyltvtsDTCEcUNC2X5n3vcvjejzUaBgwChsvqpQ5720x0oLjQY8UmF6Nc5bkTki5FJfUrG1ri9HkWfag0RELUbjQoWgmXXe4SjUnSVpStqwSN+zxaW0I8+qjLN7+VJBDysAoTvNwaoaFbIXvYhj4VVA3XcSEuoF9Bxvx4q008L4Mdd2k+IfFXSrKGiesNtpVQMIMKazaM77mwwOdhqNCTEhQGJD1pgaFCkX9uBdpT0cNMGgeJnBbJsR3sbM5F/NAB420PnSjPhdKzTaRBUhSBqgqylofjeCfvycnymooGSZz2n6kTioVywWUb22lo7MbQVYqLIxQUTN9hy0RlnPTzuWYh3BB58uRZ0OQNpDyDnA9vjDM/FDKlwoYBPyUhneWTuAob0gAB0HwQAKVyNWWthyjrtSFUMOZxQ4d4gz9DQ6eQD67ZaPOrvTopH6TjAs2UqEWQXCFIFKqoQEOnpOFRFZD80e9IbMuiv7uXSGEMoShT9m43ovzzxFQ0SJNxvF3lF68YaBqsqckZDS09Ct96wkRx4dI1ufhCw0ml4NAxnUBII5oVBIMqzQcVDu7XQMt5hXvmNwqVq7OImE3qqRT0DYBMgnBAenjxHup3FFNVEaMm5lFQLNnXqiICAfr7FOIDPTQ0ptE0FWkoJC82aH09ijysQiQAEQE2udu4QILmQTyLs9vBDWi4roZMapSmPLKGgoeH64GiuNRUCizFD9I62XhpBxoTKhKojbhcU2vxdKNBayq3gnRtrcWqwpFGlZTD2n+SncGSKdwPY0grxzMShr4UQDASQkqwsxZ9nd25+EgT7ESesQZpvHLMNM10yjHsgyVLIlx5ZQU7dnRSURHgphtrx189GvYczlqDNAVMv4/KpVX4Aj5a61tp7+gjk7GoKC+YxXLhND/PMy90JDSaU0FisSFnHHPhkufcIu+kIc945A2kOWe2g/SFMt95LnJ22q2wMEhPX4rWHoelFeMbSSPGirFyaNoPbUcgEIPg6StHo6kRUC7guITFgAuY5R4fDmQ5ckjhhd060QKPQ2EdyqDI8vBUQapK0Dkg+PVvTW670qK23EArKqCvs5twQRRN18cf6MpTK1jDk5wJY2k8LAsyWUEoKFHGmGjf16iSzArWlZ0a/JdFPZ54Vae6wBvTFfi+/Tb19YJgwEXp1Gl4RcdKC2QxEPCg3yLbkaWrwQJH5gpBL+AMG1NYkGll3wuw/U1BfJFcm6X7BMmkIJvNogiPogKF3iqVjj2lyKM6hEXOp7sg97sLSAvIqCB8kO1DdsTxFB1VFtJ7UEd3JcEYBGMutVUea9cqHG/U8KSFIqAvK/jeMR+H+nKVXRl1efuyDKuLHAYshbDhsTjqnXYNJzWMhiWc1uWfwYBYiJwmRjMK6GzOxUeat3tu+GrUePf2PN7viiJ4yy2LufKKSgxDwTeRe8Ez/NwJQNM1SqpK8QX9NBw6QW9fkkzWpra6GHWS1a48Z5gpDiFcT5ByFLJSJ6jn7rd02sZN9Of1R3kWLHV1dXz/+9/ntddeo6enB9seO5h53ovdgmS2b6+8cXSuIYTAk+Q0QBMmHPZrzXZQdUj3QeUqKKwa/7jBF15IwK2ax0OOwjGZe3hXK5JbCzy+WexRdJlFvyfYn1LRilzsjMTo0dAMEEFobhAcqFOpLfNQFEFhWTH93X2YPjOnSxpry93wgfDwbTvTuU3nyOb3PHhpl87zr+gkklBV4fGmKywW14zcJjaQEhijeraBlMCyBKYx9kVKZwR+v0ZpKTQfVbGyAhmSUCig34GUBY4FaRukBiQHK6aSM1Uht7bnkOzu47X9BpmoyaYamxW47FH9BMN+IInjKfT0FeF0GKAJyA5mM0SM3FKhH+hUQEbASuBKm76mVlTdAKFhp31Ulvi44Vqbzj6VUNA9eV2ea9PZ16OxKppzwLCvV+P5Np1bF1uDmec47dLM8jrNx/SOoigYpoGVyUwrntdMOVuGP0AkMvf6nulqkE5jqN9SBJHCCMs2rqD5aCPJeJLjde1UVhYSDM6RXvFMcT7PQ06xXk1xjRPJCMXFue2SrushHZuYz0FT3jgrSXkN0rnDP/3TP/Gxj30Mx3FOrrBLeepeHf5Z3otdnjnkfH5jLEAMP6y/ekpJ5TAjZaUC1bpH86CBVCNy43bLhoBPkrZAEQ6WIckoAs8BNQ1aGlRFYDtiRH7RohipgSTJeIJAOIgyH56q5kiD9Np+jR89bOIzJaGgZP9hjZ4+hXvfmaYgdqqTrC7y+O1hcD1QB8MiWU4usGxRZOwXf3GhS2sn9PQKMnGQigTNAUuC54KQOQtNauQMjOHGkZIrraZBMIAIhzCzkqsqLd58sYVjwZ7XHDo6QqhalqZ2BUtq4IhcNkNZmkBo8G8XqAQGgIQKWhBsF+naOK4HCAasAV57BXzhIBdudti60T45uO/OKAQ0iTFoeIU0SWf69BhRc/3ET6aHGeejSb+MlhTS0dhKaXXFmOnOdQ3STPOabw3SWPiDPmpXL6ajsZ3u1i4am7opKQ5TVBSe/OBxyjjp53PNQrghziK9aZU+20cwmDPILcvBTSep9g9QEV44Xi3z5Bni4Ycf5m//9m+pqKjgU5/6FJ///OfZt28fjz32GI2Njbz22mv87//+L67r8pnPfIaNGzfO+px5AynPIOfDG+PsDYXCYR+dA2nMTpeakrG32c10W9roQwIChjtvU3QImDmvbYuKPSpaFRpPCPQwGH2gdErM/tw2s0jo9N3Q/lCQ1w9LXnvKwVVMltXABSscIqGRxsRsttXJKU5IilG/h7N7n4YAaqtyKyCxiMv+IypH6lS2XnTqpb5xicOOYzr7G1XKY7m0x9tVYiFJSWRsRwY1lTaKZtPWoVNS4tHSbCFTGchKkAoIhZxBJHP2kBYGmQInlaucokE0BoZBSQmoisorOzRWl7usXuJy/XUWiqKzZFEhuw9l2NUnaU9KyAqwBgsRJOfo0AUMhjk9lOA55JaazNzfGAgJjp3hxPEgf/vnWbZscE4+AuUBj1c6IG4JBJCwoTLoTfp4LAQN0njZFJQU0dfZDZDTJE1+2KTfjVuOmaaZTjlmmtcZ1iCN9dwbpk7F4koCIT+NRxrp6IyTTltUVxVNeYvmtD7PM2e0xHWa0iGMYAi/nuvTbNtFtTNUlL7xjKP8CtK5wb//+78jhODBBx/k8ssv52tf+xpwKoAswMc//nHe+ta38vd///e88sorsz5n3kCac/IapLPH2Wu3VMqiv9+iTG+FzNPgDED0Yii45OToYsRYcQ4vs6LAxWtsfvSkSXUp3FLl8qsDBt0pFSEhJCRLIg6rFnmsrHWRcnBMP9hnP/6Kzq9+a2I74Fppduw3ee2IxrtuylAQlkgB0vOQUqIIBaGIaRlLUkqsTJZE32DAWuRpThKmQjoj0PRTlpaiABIcd2RBYkHJu67K8PQ+nUNNufPccJHF8WKVeEqhKHK65zZFgeVLHVavhMVlCvtfs7A0AZoCaTdnJGkaqDLnUEEBRACsBAx0g2mAYVBeaLFulcaFqyXdScGr+zWEBQ8+aNLVreAJDf8GH8UZgdUt6T0gIOnmlru6FOhXIUpOZCYBH9DvghyymvyAPlRqdC1FbY3HtgudEXqs7eUWHSnB/j4NieCSUpsrKiwmYyFpkEaj6iqO41BUVjKdM0+Ns6xBmhZnQYMEp/dbqqZQUFaIL+inbt9x+uNpMpk2Fi8uQdOm/3znmSMmebfYLjhSxT8YOy+ZtNCy/VxQMX6YgDx5zjavvvoqFRUVXH755eOmKSoq4rvf/S6LFi3ik5/8JN/+9rdndc68gTTnnO8apDNhwJ17RmI06sdz0oQGHgajGbQAdP4azCIIrsglGj7rO8fV27jcYccBnYP1KitqXd5zSZa6DgXbEvgUSdoWbFpj8cReje897SOVFly2zOa2y7M8/apBJCgpK/RIxrNoPpWDdSYv79O5cZuFk7XJpFK4jovuM9E0FU3XUccZBLmOi+d56IaO67pkUxk8z6OoYnYD2/WrHA4eNemP5xw0tLQrRCOSRaNiTg0MwEvPwivP2thOlvUbJLdcAPuKDL73pInl5IIjjnebxco8Fi8RHK53wBVgKDm9WMLFKBIYQRXVc3EsjZQSRjgWgYhHQY3CBas01qwxKC1VSTZL+hOCRx416IsrrF3rcjypcLRZJ+pmaHrRgy4brGxuK5/QwTAg5IdiNbdgtNID4UKfAgQ4ta0vi/TSpJMWx/e18bWvKnzwAyY+X65CQR1+d0WWjnROwFrq95hIS2+7sLtdI2kLVhW6VITn1v33jBh1fbpaOiitrlj4GqQF2n3NuFgT9FtCCALhACsvWkXD4RMk+hIcPdZGdVURodB5GsNqIVzficowSdkWFdh4vXEaewVFRcHcqrGUqG8g3dFw8l7szg3i8TgXXHDByb99Pt/JzyORUzEmKyoqWL9+/ZwEls0bSGOyEHrAs8VkdV8IG8Rnc33m79qGfC5Obz/tbgn+YAER7yDYA7Mv0hSKXBiVvP1NGX70hI/DDSqqArqWc7im6oLta232dqr856sBkhEF/PDCXp2HXjK4oNrlkvWntlZoKhREPPYe07hyQx+e6+EPBdF0jWw6k4tPY9kgwfCZGL6RwvJsJks6kcT0+XAcB6QkVlI4k2qNYOuFNi3tCnv2a7S0KxTGPG64yqKq4tRgPpOBz/2T4LHfOLiuxPPg6afhuWfhz/7cYv1ildfrNVZVuxj66WVIZqCxW+Ujf+nyyM8Untut4ygGpk+hfI3CqlqXokKPaFBiW4KWLpO7bipiUZXN135mUlVmUFEmSGchkRIsrXJ55YhOYUHOY5zUBFJ6ND1j0d+QhXQqp21CAfyQ8sFBC4p1ClRIexKxGpTeAE6fgZQ2tpdCOunBFtRpavD4+N9n6eyS3Pf/fDlxqswtflUGPTIWqJM09FMnDB46auB4gtqoy70XpYn55Pw9LlPJd5TGaLqHTy/h3DClbYfD085nYUYx5XNNtWDD0ummzuI1S+hobKejqYPGpm6Ki8KUlEQmzOKcZCEMDWZZhkK/y4CTIZWapyHgG3kIlWdeKC0tJR6Pj/gb4NChQ2zZsmVE2kQiQXd396zPmTeQxuSN/GSfC3Ufr4zTHHXNMXqgECu9HK3/VbIDLbjRYgp8FadKN9OtO1Msck2ZxwfuTHGoQeNwg0rWEhRFPdYucUg6gr/8SoxEpYKfnHvsTESw/6BGqAG2rndOniaTTJNKOATUnNHkDwVQVAUpczFRTD84tkOyfwDbEuimMaJept/EdRxsy0I3DRxrHDecU6vWSXw+ePttWa7YapNMC8qKPaKjnC488ST8+tcusQJJcZFAUQTxATh00OPB7zm8994MQvGxr15DV6E45qGr0Dmg0tulEdRUtq22qPalCN/ssWatiQwIQiG4ZJ1DJgGPv2hQUiqwHcCEZYslF6+FnoTLc7t19h4V6CpcuMph+yaH1iMqO3dpmIZDojdNusmgtS6T21pHhNyqkA2kgT4YKEU867L0ag9/qSC7SOD0+aAfMhIaml2SnQIID7aiQzqt8rWvOvzxh6CiMvdxe5/CL3YYtPYpFAQkb9mcZXHp2CtDR3sVfCpUFzgc61XpTCrEfO6Ej9p0jIFxtUZTHEiNTjLle2em5Zthmunc0zPuieZ78Dkq76n2W6qmUraogkA4QP2Bejq74qTSFotqis+N18obiKjpEs1kqE+a+Hz65AdMF8E5E1JJngENksxrkGbNsmXL2Llz58m/L7nkEr773e/yxS9+cYSB9Pjjj3P06FGWLFky63PmDaQ85xHz9Rae6ihOZaDgrfh9S0gn4qQCi/Ap5WhObjXnTLgP9vvgwpUOF67MGTfxrKC+T+XZYxp9IQXNAnNwjOxpkkyVoO8QNLUr1JZ7BMIh0llJVupcuimDL3gqkOzw8mu6RmTQA15qIIE/FEQZdBOuqiqaruG5Hrph4NoOnutNyUNed7+gs19hcbmbk/+kYSCpoGuS4iKJEIxYMRrNjh0eWUtSWqLguhLXk4TDgoG4wokTHi0nXO65PsP+ExqvHtFo7FBJ2bArESAWU3jbJVm0rhQ//UlOr2PbNhdvyfK2t5oE/ZKBhCCRFhyq01CF5IbLLFYscmnrUbjpcosNKxzaexTCAcmyahddh7e8JUtXn8fL+wTCF2BVocWxjCSnJ5Lk9tIJcoKjLOAgMxqxiEsiDrWm5MLbPFqOKrx8zEO0eOSESjo593cCKS3644KGRklFpcCy4UcvmhxsVimLeRzrUHnwBR8feFOaaECedjuvKHQ53K1xsFtjSdSlNDjJFrupaJAkNDXnDOuamnHym8YzoagKnuuiqOrcP0uzcSxwpjnTGqTpXCNFECmKsWbLWo68dphEIsOhIy0sW1KGNkkg7TxnjhP9Oo3pKEVFQZLJybWJ0yVjC55vynk13BBLznn+ed543HTTTTzzzDO88sorbNmyhXe+85184hOf4Bvf+AaHDx9m27ZttLe38+CDDyKE4J577pn1OfMGUp5p8kbUIE29LJ4aJhm6CkLQm7Ko25MiGpAsLVfxGYJYaG7q1Z0RtKYUaoIeUXPsqbqXmzV+fdSgK6XQ2K/gujmX4J6Sc0rgWgLFBxtXuSgKvH5UQwhQFcnmNQ6XrHcmHBwJIQhGQrkVp4EEvoAfbTDgoKqqKIqCoir4gn76e/ooGGOb3XB6BwRffcRPU6dCICNpPgjPvSTwXJf16z3uvM3jD95ljxkcdoj+PommCZqaJL29EqFAUREYhkIwCM0tEp8Bm1Y4XLjUIZ4WNPcrODskwmdSWix54TkX04QlS1Q6Oz1O1Lm89FvJzl0C14X16yw+9HaLYDA3ePzqz/109AredInFNZttakcZcKoJsgyMfo9QWKIOaBhlQazGJDk9kSS3xc5lyIW4UBR6syr+oEekx+XOd1t8pdVP3FIR3pBf8Aw5g8oFbDxPcuKEwyWXGPQkFJq6FZaUugR9UBhyOdyq0t6vEA2e7snv6kU2BT55UoMU9c1++jeZgu99z4cEPvTBNKHQNPMc1Q2UVJbRPtzV90JloXVfg5wxD9oiF+B39ea1nDhQx0DvAIePtlJTXUw4fB7okhbC9Z1lGTwp8KSYk1gxo5ESfttWSHllGJA8vS8+6TFnEw+BN88XdL7zfyNw9913c/ToUXp6egAoLi7m+9//Pu94xzt44YUXeOGFF06mfdvb3sbHP/7xWZ8zbyCNyULoAc8WeQ3SXBEIGGiaQjptc7gdTNWjssA5zQ24bG5FtrUiSkoQtTWTFrknI/jqQT+NCYXlUZf3rU4T1EcmP9aj8tODJoqAVcUuS2MuO9s1GlGJpwUKIKNQYnv8+V0pykslhxtULFtQXuixeomDMdnOi8Fy+YJ+rKxFJpVGN3RMvw/DZ+K5Hsl4An/QP9HhJ+kdUOjoVWg+pvL6i1B/KIOdzoKUtDYrNJ1QKAgr3HXH+KsbS5ZKnnpacuy4QigkcBxJb6/gkq0e/oAkEDh1RkWFaEgSC7m8YyCOCIRZWyLYHxXsS0IyKenpkTiOwi9/KQiGco7sfv0bgSclt90qaWhTaO0aLHeHkguVJGG4k77dxzTqOzUuXB4nEtPoS8DTVQqtrS44CjnjaMjqy8VVKin0uHSxTTjgotjQHRds2Gjz2O4krteXazjTHIz5mtvvpprwr//lYUQEV14mMXVJPK0Q9HnE0wJTA9+gF0Apob8/t23R58vplS6uGMPF7yweF58Pli93kBL8/lHG0Qw0SMOTz1aD1N7uks1KystVDGPu+oM3qgZpLFRFYfHapXQ2tdN2oo3Gxi6Ki8OUlkanWpKFyUIYGiyEMoyHgNLSacTEypNnCixZsoQvf/nLIz674YYbqKur45FHHqG+vh6/388VV1zBpk2b5uSceQNpTBZy7zPfnAt1X5gapLEwDA3DyD1mruvR3JeloT1DNCRYt0iDlhacB74HHZ1QVIj6jrtRliyasMjtaYWmpEKp36MpodKdUQjq3ojku1o1UpZgbWlutUA14N0XZPjmXh9dhoJmQKXq8v+uSrJpXS5NZcnE26pO0yIM+79hGqiqSiaVJjWQE0dqukYoGsZ1xo6tMfpK1JS6XLbO4sjLPrraHOxUmsElLWzLo67O4/EnBG95c87Z21hcslXhoYdtEkmJrqnousBnulRUeGgqrFo5cvlpqAwrCyxCMRtNMbjmGp2uLo+WFklZmUImbZBKQ21tLq2qSvbsgRtvgKoSj+u2WJxoEWQ7s3zojxzSKcHllwne9S6FUAi64gqmlgtai4BYGC68EAYOuyR6Bj/EI2cc6fjCHqs3wZpFDnv2eHT0C+q/ppNNJ/Fnelm8TqWl1aCvR4G0A6aBbqr4fQ7NTS7f+ZlGeQVsXWrzncf87BzQCPgkb9mepbrIw7Lgpz/T2LtXIRyGO++wWb78lOF0sl3EGBdpkERS0NknKCvyCIyzKKCqcMcdg9t3Ri8enUUN0jPPpnnssQzZrGTNap277w4SDCh5DdIQM9QgjfW9IgSlNWUEwkGO7z1GZ9cAqbTF4tqSc+NVc74hoWVAp9MKEonkHly/XycrQxzq8lhVnJ1xvpN8sGCRKPOuEcprkOaPaDTKO97xjnnJO28g5TmPOMsapElQVQVfwIf0myQth5cOpbiwtwW1oxOxbi1y335obobRBtIoakIeq2Mu9QMqawocygKnGzZtCYXQqK13VWHJvRdkONav8PYNWbZX2fin0QNMNjOuaiqBcBB/KJBLPyhUsa2p7XHXNbjzSovdT2s8/rCd07mouQJKReDYDj3dknhcobh47Dw2bBBsv0zQ3u5i6C5CkRiGIJ1WeNP1CitWnF4Jz/UQQsmVFygrU3j/+3309ub0S99+QOH48VPphwaMQuSMgBu2Wfz7f7r80z/ZtLXpOI7Gd78r+cpXMzz7tEFVkYftqmRtQRDoiQuWL1epuluhrcni9dc1UimwPI0sBtHlKgPV8IvnLJLNfcSdGMGgRV9XL5EQ3HydyguNfvY965DwIngihJ2F7qyHptmcaJA88oygNApKD/gcUDLQckSlbZ1CZyv89rcqpaWS5hbBI49o/Mmf2FO6xgA9/YJvPeyjqV1lcaXLu2/JEA6OMSAa/tiMl+80H6uSqjK6Wtooriyb0fag3l6XJ57IIARUVKjses1i7VqDSy4xJz94oQzoF7AGaezjBaFYmHWXrufwzoMkk1kOHm5m+dLyvC5pnrFdgTvs0WzsN6nvMwiEdIKDba+quTAGA2kN27XQ1elvhU3bUH+8BQBNVWlu6SHrCGprC6iujs1RbfLkObPkDaQ80ySvQZpVTiK379vnM8ggeG2gkE2FBci9+yAahdLJYwWFdMkfrErTlcmtIhljjDFKAh7He0//Iu0IVsQ8rqq2xzxutgzVbwgra5FOpBATCYdGsXSZh2lARgzuICOnmfKZHmWluVWZ8fD5BH/2ZxqFhR6/esxFeoILNgpuukllyxYFVRV09QkcR1Be5A1uDUwRLoic1E8BmKagvDxXj4suhCNHBPX1Ek2Dvj7BTTfKk6tYvb2Sr37VoqXFwPNyjhdcT/Dqqwof/GCS//yiwr46eH6vidumUxz2uP4SC3OtxmO/8Vi6xKG3T7CzDgpqFZastznSDf1N/Vy03iHhuBytD9DTI9CFhd9zCWNiZUrwEgY4LggHZB8OSV75lce+HUFuuTPMFdssDF3gebD/qMozL+ssr7BxXQiHJfE4ZLLTC/x7vFnlaKPGsmqHQw0q9a0qG5aPsUo428dmjG5AURQ8b+az046T+wmFBD6fQHoSx5nj2e6F1n0NcjaLJURuRXnN1nXU768j3hPn0JFWamuKCIfH3oK7YDmLDdmVVHHl2Cc3ZRqVkc/hiT6DzuSpjj4YlFQWSCANyfTJzwOaQcofZXerx5bqNFNFSmgb0DjUYlPiSdJKmM0ro6yUA7za4ieVslGm0fefDXIapPktY16DdG6SN5DyTJOFoEGaLQtjBKNpCtaiZbRE7qLabkeUlaKsXDH+AcOK7dOgOjT+lrgLyh12tum0JRTKgrkYPP1pQV9GcPUia8rG0UQtdbROZcceDcsWrF7msPkC5zQHCoZpEIyESCVSUz7RLTdmefDHBs8+KbCyNooq0DWPqkrJLW8W+CbQeUsJCIV771V4//tVLCunhRnysHe0UeW7j5qkUja3XZFi43KHYDSSm0Udh82bJa4LL70MrgPbt0uuvurUoLqpyaWnBzzPGKyIQ05TpPLzX3p88b8crl6XZE9jIR0DgtJijxs3W2iqQVWVyt59Njt3WhQMQCqVprshS2GBhlFos2SJwc5dKjIr0JA01Kd4+BFB80ABmXYdHBvIgmwYLI0KeKS6u/jBV7poOhjijruLiMY0SgolR+tVrr8sy5rVHoePKISCkquunNgZx2gKI5JY2ONoo0pJgUdhZA6Dyk5h1SkUDZPsHyAYjUx7daOoSOGiCw2efyFDS4vL4sU6q1bNrZtjKeZEwjO99HO8/W8Wp5nwICHESV0SQEN9K8VFYcpKowuhS54aZ6ich7tMRs8F9MsI7ujBfLwV7CxBGUdjZEgFAZQO/2Bg8Gc0hh89VIltBGnsc6iJjR2aYTSOJ9jdalLr1SMRdCrVwABCwObKNA8d1igumgc34nnOa9RBEe/q1avZt2/fiM+mihAiF4dxFuQNpDyjWBjGw8TMtowLo36apqIE/bSqq+lhMRcu0yaeyZ9GsVcXu7x5eZYn6g32daoIwK/B9hqby2un9vKb6JTHGxQe+IlJT7+CocNr+zUsO8v2rePnPdW6FRdJ7vsHm8+FVfbsdsmkPCoq4c/+SOX668dvhPp6ePJJQWMTxKKwfTtcdNHIc7Z2KdQ3OSB0egYCBEIuQpm4YRUFtm2TbLuUMRuktExQWCBpbBwazQhyBpJESptkUqOn30UzdZaGXCwPugcEPkOwdq2gpdUhnZZsWwtH+gR1LQJ/l0WN6bHj1RCdnQax4ACtSgYpTZqbdXozQXCGAsy2k3MRHuSUs4c0EOeVFwfQDY27freQrAWxCBTE4Pd/36apSSEYlFRVDeqPhldvgkdsabXLO2/M0NqtUFvmUTlObKUZMYV7PBgJ0d7YSjA6FAdq6iiK4PbbA6xcqZPNSpYu1SgsnOTFO83uZqpJp9sLTZh+ziytiQ8ZV/05jX5LCCitKUNKCESCHNtzlHQ6y+JFpQulaz7rvNzkRw0VnNaoQTPnaZSOI+Bkch86SZAuFC0GM0xfX4rqYJLiQE5bWt9nkCRIMDjONtJ0L/Q2ofefQA2W0q6WE+/oZ13pJHokCQoeZV5DrpwV66FjrAHpwtYjSQRynm+8+c7/fEMOimE9zzvts+nmMRvyBlKeUZwLD/KZLuP8GY2KouAPmGSzKs++PsCVG8fxPjBNhICrl9isLXWo681ty6gMu9RGPSaxB6bEgSMaXb0qG1bnXogNzQovvqpz+Rb7tIGS4fMBgnhPL+FYdErxkC7a6PHV/4IDhxSQsG5tbtvbePT0wPe+J2hrFxQXe9TVSxoaFXw+ydq1uTSu61ER6mTL+lJcKbloLZMaRyMYJ2lZqco998DBj6fJZoPkVnEAEqxf5xEKQk2RzQWLHRo6FYoikq897idjCzbW2hzZGScWU6iuVjCjCgk1RHuHR10XJJs0aqsz9PakcB2P0tIIqRQURgRt/RKwyDl3iHLKTThAALBx3Ti7dmewwgoVZSp/fE8aVYFAAFauPPXy6U8LdrdoHO1SCRiSdWUu68tPXxEcYs1SlzVLT3cXPoJ5nGtRVXUwttb0YyJpmmDDhmk8Z+dClzgdZlCfSf0xzCRPkTN212/bwKFXD3DwUDPLlpUjyE0enXftPg02VWR4oSlOpCiGrqucbAzXgtZ9kE2CqoFQ8EpWI80gXT1p1gaTrKq1UYSGInLDu9V+ONbr0mvrBEL+k6vpQ0gzTFovxurtJDLQjkjESQbKJi2j63ocPtqKKSXoPlw9hKn1jEhzw/IEvzqwsA2kPAuP4YbRRJ/NNwtuc+gXv/hFNm7cSCQSIRKJsG3bNh555JERaQ4cOMBtt91GNBolHA5z6aWX0tDQME6OefLMlvl+U+d0O84k482ZUBqUXFLtcFmNzeLY3BhHcPqMsaIMRvAZ410oBJh+k0A4RKJ/ACszNacNfj9sulCy6SIx0jga4xyHDwvqGzzSmTi/fKiTJ57s4rHf9PH9By2klGTTWRK9/SxdGuGDv2PxrhuS9HVmqatzcN3TM5SAh6QTixSTX5gPfsDH//ukRTjcDfQiRDvLl8X5n/+OoKgCvyF599UZPnRTmnhK0JdS8BmS5w4atCcNhMjNeJ1oU+hsstEH0gTKw0SLdBQh0HRBUbGKYSgE/Ao15SkQQxbI0DzX8HpIQEUCVlZi26D6oKbaHXE7S6AvLfjWTh8/2GNypEvjlUadb77q47HD0zfWR7TkPD42xZWldLd2jH3DnQHOyFnn6CQLeXgqRM65y9pL1hMsiHD4SCuHjrQSH0gv7ILPM5oquXJRAga6SCWzudnwdC807oJsAvxRqLqQTNlFZC0Pq7+XiJrBp7poihzRz6sKrCzKUm32kh2IY9unVnkcxyWdSFGkxFlWrtMpKvB5CQrtE6RSk3u08zwJioqsuZiW5j6uXTosKKwAfageefKcgyy4FaTq6mo+85nPsHz5cgC+8Y1vcPvtt7Nr1y7WrVvHsWPH2L59O+973/v45Cc/STQa5cCBA/gmEibkyTOChbeNUFUVzICP/ScsdE2womqMbT+zLfYsttaMZuVSl5d2eRw6pmIYknRGcNWl1oRBXHVDR4mEyKTSOLZNIBycUtlO+2qMdAMDHgcPxjlxIk1fnwYoeJ7LD3+Y4porYctmjUhhDKEIXnzR4tePZejq9vCZgtWrNN76Vj/RqDLiFLsYYKeIU4DGzbKEAONvxQoEFP76r8L84fscfvuihWkEuPhinVhMxc7mDEJVBVMHy4ZowKMgKGntFaxYpvPaMyleehmONdh0p3XMgEq1m2btigARM0w4pPDiyxZ1dR5+v0IolMZnWGSyOjB8j//QLJuAQT3ComU+7niLR3fSQ44SeAvg1SaNgx0aa8sctMEm6EwInqvXuaDSoXwaGqNZP1VTvEfP9th5oiLOURih091tT5R+gi/nsqcbfZrjx9McPJQiGtHYsiWMYYzRAUyxQZasXUJHYwet9S00NnVTXBSitDQ6L8FMzxWCuke34+YmpOwMJxuzeCnoPnq7+tlUmqIwMPkkTlXEJmUnaU/oFBRoZLM2ZJIsCiQoDTm0DWhg+MEoIxtvp745TqC4isUFp09oOZ7gaPfc7HY423iegufNs5OGec4/z/yw4AykW2+9dcTfn/70p/niF7/Iiy++yLp16/jYxz7Gm9/8Zj73uc+dTLN06dIJ88xms2Szp2ZD4vGFHdn57LLwjIfTOT80SMNRVYVgyE9fSiXZlRzbQJptsedwa82KpS7vuC3DS7t0shasXely+ebJtU2qpuIPBbEyGXo7ulFUNWe4jHGik+60p1BOy7Lo7s7S329iGAJdlwwMSLq7PZ58Wueqa0IIAY2NDr98KI2iCNau0UinJTt328RiCnfdNdKbVrew6B00MhK4BOTY236G340FBRpvvlk77fshokHJRUttnt5r0N6nsrzc4cZ18NTP4LXXXBQFQj7J8qUmtZUuxcE4sYIo9fUGfl+Umuo46bSkocEgGouzvNjPkaNhstkBTm3tU4E0QqSorA1x1VsK6BrQ2LjCobb89IHUoQ6NqM9j+M7H4oBkX4dCc1wZ20AaqrSculOCKTHFjIYnm44HvhmR1yCNqUHq6LD4znfbaWuzUBRBOuNy/XWFsypbaU0pgUiA468fpas7cSpm0huU+j6Dskp/buIpUg59zTlPMTOkOuLg9CdoaXMo9lssj6UIGsOeb80HIQPi7bi2TVdHN/FsCRvLMiefdwDpuaR6ujDJrXx3dsS5pHoSRzx58pxjLDgDaTiu6/KDH/yAZDLJtm3b8DyPhx56iL/5m7/hxhtvZNeuXSxZsoS/+7u/44477hg3n/vvv59PfvKTZ67g5zQLz3g4nfNHgzQcIQSmqZFWBGkrJ+v0GWeuruksHG7VSGQEZVGPpWXuuCtCAli3ymXdqunvC1QUgen3Y/hMPMelr7ObSFEMECO8yU1n0BsIuhQUKDQ1CTzXQ6qCUNBB0zWaWzSGrmFdnUt8QLJ+Xa7rCwYFZWWS/Qdsbk778PtPnXSDDIOAIqlTjD7jGfrh3x875lD30gB6t8Kll/q58UqVuiMuCMHSJRqlZYJUSlIYdLj0QoVXX3VR1F4EgsoqWLLYz8oVkuYWlVdf1UmmJOlMloYmgXQdhHDx+yUVlVBUXMZ9/8+gdqmL5aRZXOFiDjnaG1Yovy6xXDGinB6gCE6uKI1bqYmMo3l+bIqryulq7aCoonR+VxnOhS5xOszRRElPj01np83atUGOH0/T3DTDIKOjCEVDrLt0A4d3HiSVsjh4uIWiisKcl5nz7mJMzDVLkrzYBLaXq3eR456cBnFdD33UdrrJ8OseqwpTrChII4Q8NSkioSzkoIg4h/tCRMrWQvsh/G4/Vm+W32Yq2VKVJuMIXmoKoOBSKtOD2+s2k23pn9Iq1kLE8wSeN7/31Vzk//Wvf52nnnqKr3/967Mv0Bni6quv5umnn562w4TJFj2mghCCY8eOzSqPBWkgvf7662zbto1MJkMoFOInP/kJa9eupa2tjUQiwWc+8xnuu+8+PvvZz/Loo49y11138eSTT3LVVVeNmd/f/d3f8Rd/8Rcn/47H49TU1Jyp6uQ55zlzL2VNUykojvLc/iSaCqurcrqhsoLxl+gHkDyOS4vwWCMVrkBFm2aZuwcE333Ox9E2Fc8TmIZk2wqb27Zk0eYlXhIIoaAYCpGiAgZ6+hCKwBcIYPonCdo5xsC7rFSjtlbQ3g7ZjIeqejmvbVGFyspTFRDDZkFPZueBUEYaZBIox6RcTiGA6CQMnc7zJL/4ZZq6ehdNczm62+UtV4VysaMAXReEggrplDuoSYK6epdkUuHyyzU8Dw4fkSxZovORPzH5l3/V+Po3bLq6HPymguuqCKESCkvWrgtz260Kl11qYRijBi6j6rmhwuH1No3etKDAL3E9ON6jUh72WFY0vUHPiEszz4+NoggM08DKZDH9vvldRRrFGZkymaOTzFdZKytNFi/2cfBgCr9fYfXq4OQHTRFVU3Mxkw7UE+/uo7O5G5NCImH/9ByrnONoqmT7MA3PkaMeliXJZGykk2Zz+agVoCmgKKCM7gQHJzpKQw4+Lc7hbhM9Uk3QaYNUBiN1nENHcknLyXllS4kQoILlURo8N42j84ndu3fz4IMP8uqrr7Jz5066urq46qqreOqppyY8zrIs/uM//oPvfOc7HDp0CIBFixZx1VVX8Z//+Z+npT9y5Agf+9jHePLJJ0kkEqxYsYJ7772XD3/4w3MW86q+vn7GxwohkFLOyaTZgjSQVq1axe7du+nr6+NHP/oRv//7v8/TTz9NLBYD4Pbbb+fP//zPAbjwwgt54YUX+NKXvjSugWSaJqY51YHO6NfJQt9yNpflnc+6znXew10qn1+oqkJpaRgpJUfaMwgBvQNZVteOelwHm/QlXF4WLlEETwuPUqmwDjGtJn/+oM7BFpU1lS66Bv0pwfOHdFZWOqyvnd+Xn6oqxEoK8TxJOpHEtixC0fD4B4xRp5Urda69xuDYUYvOToGiKpQVaKxaaXLNNcrJznLZMo2CAoW6eofqKpVUStLR6XHjDSY+n5joFLNGypzDBNMUGHouYKnrwrJlKhddpPHTn9ocPuIRi0J1tcLRYw4CwfJlKro+OINcJDhxwqOxEbq7FKqrHOJxKCmSZG1Be7uCZblcssXi7rcqJ4PZjocALqx0aOyzeKnBoLkfBILyiMsd67OEzOnN/M2rRG4wwcl0EiLFBXQ2tVFcWYoQZ26f/4zrOWxr4qSP6BzdhPPVQ0YiGr//7nKOHUsTDqusWhWY2oGTXehh3y9es5jO5k5a61toau6hsDBEWUkURT3/+v2pI4jKPmpKBKY292q8iM9jc1UuWKzjFNLXd/rWOYlCXCkAQKGbJZVTc7yzEJGegpxnjdBs8u/o6OCJJ57gkUce4ciRI/znf/4ny5Yt4/LLLyccPvWe/OlPf8r999+PYRisXLmSrq6uSfPu7e3lpptu4uWXX+ayyy7jAx/4AAB1dXV8//vfP81A2r9/P5dddhmpVIq7776bqqoqHnnkEf7kT/6EPXv28D//8z8zrudw6urqxvz8+9//Pn//93/PmjVr+PCHP8yaNWsoKyujo6ODAwcO8F//9V8cOHCAT33qU9x9992zLseCNJAMwzjppGHz5s288sor/Nu//Rv//u//jqZprB3y2zvImjVreO655+bo7KM73rnuiOfaUJjL8s7nS2eu8z7/X5BCCKJRP57ncaw5xaoabeQs+eD/E4CKoBzBYTzSQ8bjUNpJBmNSwv4mjaKQRB/sEaIBSWO3oLlHnTcDyUPSRwIdjTA597OBcBArY9HT0X2yCrGSopPHjDcppKqCt9yQpbjQx2OPKwwMCKqqVLZtU7j8slMrSJWVKrfd6uOxxzLUHXcxTLhsm8E1V89+pWgyVFVw/fU+Hno4g+fB1VcbhMO5F+ef/HGQUCjFr3/l0dkNzzwjKSkVVFcpZLKnBkEDcUn5coX2doVEShCNgueBqkmChqS4WNLfD+vXuvj9U3spayrcsd5iU7VDa1zFUCXLi10ivjPrCmHSJ1qMSieG7o9C+rt6iRYXzNkM5rwhRv6eSi+2kKfoCgt1CgsnDgQ6FScrjPX9kD+CqhIC4QDH9x6jpydBOm1RW1OMpioLt2HmmeqIjanOfwBWTVMpLh57sqqEc9coOlf42te+xkc+8hESiVOriH/8x38MQE1NzQjvzb/zO7/DbbfdxoYNG+ju7qaiomLS/N/3vvfxyiuv8MADD/DOd75zxHdjBVn90Ic+RH9/Pw899BBvfvObAbjvvvu4+eab+fKXv8zv/u7vcs0118yorsNZtGjRaZ/95je/4WMf+xh/+qd/yj//8z+P+G7lypVs376d97///fz1X/81H/3oR9m0adOY+UyHBWkgjUZKSTabxTAMtmzZcnIZcIjDhw/PuiHOHG/QHj3PjFEUQUVlAb9+tY8bN5++JLAeheN4HEOyCIWlo733TzIYEwLCfklf8tRxUuZ+fPoUB8nTmBUe4ggtHBYtGGhcJJdSSs5jleEz0XSN3s5uCkuL6WnrPHlMrKQQddSeP9dx6evsobiiiFtvU3jzLZLu7pyb8Ehk5Emfe07h+ecDbNlisGSJg98vKC9XRi7Hy8HijlefWYxYN20yWLFCw3UhFjvV3tGowqqVfh79VYrenhSW7REfEGQzJqqm8/peFyQUFytce61OOp3TCC1fbrBnj0NrG/h8Hv39UFkhuPRSFc8b2sp46vxdXYLjx1WWLnUpLj51bYWARQUeiwrOfKyJ2WKYBn2WfUZd2827Y4hhzMlpZvB8zhUzznZYvxWMBFm7dR1HXztCOp3hyNFWFi8qweczzujWyrONpqrYwuWlBpNNtRD2nXvP60JjoXqxa25u5gMf+ACxWIzvfOc7tLS08Pzzz3Pfffexa9eu08LfrFu3blr5v/TSS/zkJz/hnnvuOc04AtC0kebB4cOHeeaZZ7jmmmtOGkcAuq7z6U9/mscff5wvf/nLUzKQvvOd7/Ce97yHDRs28Mgjj1BaWjrpMf/4j/9ILBbjs5/97ITp7r//fr72ta/xj//4j1x33XWT5jsRC85A+uhHP8rNN99MTU0NAwMDfO973+Opp57i0UcfBeCv//qvefvb386VV17JNddcw6OPPsovfvGLSfdZ5slz7iIQAmxn7BHgchR+T+r0IylHEJ7BkGTrcpvj7SoNXQohn6S9X6Es6rKmeooek8Y55clx1xjft9GHhyROmj6SlBLNZSVyGoTiilynWVSR82IlJXQ0tVJWU3Hy72w6QyaVorC85ORASdMEZaPjHA4W5OVXBHv3CXx+leuuY+yBoZhkUDfd5pWSffsdBnYNYBoK69eblJWN7Hqfew7u/4zF7tcSZLMSVRX097l0daUJ+OGDHwxgGArLlyvU1qokEh6VlZKODoM3v1ny4ksWfX0elZUqf/qnOq/sN9h5QMPQ4aotFpvXOXgefO/7Pvbt01i/3uFDH0xP6Jb9XML0+7CyQ1qk+R8xT9t4PtvLQGKSYpwDRoaqqay6eDWNhxvo6+zleF0HFeUxYtHgG2bL3ZIlpRw92kax1YBOGSNd/OdZ6Iz2oDyR/OP555/Htm3+6q/+iltvvZWvf/3rKIpCbW0ttbW13H777bMqy/e//30gt/LU1dXFz3/+c9rb26mpqeHmm2+mqKhoRPqhMfYNN9xwWl5bt24lFovx9NNPT3ref/u3f+PP//zPueaaa/jpT386YpvgROzcuZNVq1ahqhOLojVNY9myZbz66qtTynfCvGadwxzT3t7OPffcQ2trK9FolI0bN/Loo4/ypje9CYA777yTL33pS9x///185CMfYdWqVfzoRz9i+/btc1SCvAZpfshrkOacYU1aiqB0dFtMo8kvXurguFmeP6STyMDaKodrN9iURmc3LT/R6aspIkmGICbFTK2TDEXDDPTFCUUjJPrjKIpCtKhwxIDVsiCdEkRjw8o++P1VV3qYJmy71Ju8gHPEs8+l+cmPM6gmuK7k1Z069/xelIqK3OCmpwd++ZBCc0sa25aDQXEFqqZiWS6HDllUVIS44IJc+mRScvQorF1rY9saHZ0mmy4y0DTYusWjqEbw0LMG0bAknoQfP2YSDUmWVrtIDzyZc0yx0JiJBkkKEBKiRTE6m9vQTRP1bA6Wx12mHfw9HQ3SPLAgestZrmbVrKzFHw7QVt9Ka1svmYxNaUkETZ8HbzJ5znukJ5Dz7MVuKP/RzsE+8YlP8H//7/8d85iCgpzGq7e3d17KtGPHDgCOHj3KPffcQ39//8nvQqEQX/nKV3j7299+8rMjR3JeOlasWHFaXkIIli9fzo4dO0ilUgQCY+sRP/rRj3L//ffzO7/zO3z729/GmEwkOwwpJXV1dXieN+FWatd1qaurm7bnvLFYcAbS//7v/06a5r3vfS/vfe9756kEeQ3S/JDXIM0GRYGS0ggv7Etw2brBWcNp7uWf6M5TFNi2ymbzMpusLQiYct5XF5ZSRqmMoqHiZwodpYBAOERHUyu2ZWNnLUqrK07zPrdjh05vn+C6ay1Gx4+++GLJxRefOY9LqZTHc89nCARg+SoTz5Ps3Wuxc2eGW27JXceWFsHAgEBRJJ4HpqmcDHXieQLHk/T3e4P5Sb79gMf+/RJFcbnoIocbb9SwsgplZR5Llki+8TMfpgFVpblj9h1VaelQWLHI5e67s1x8zGHZsvFduJ8tZqpBOqe6gvNMgzQVZqtBGqv+xRXFBEIB6g/U0duXJJ2xqK4qwjS0c7uxpsJg/ZpbeqiuKsQ086tI5wqNjY1EIpGTf0/kPGzbtm0sWrSIf/mXf8F1XVx3bt9bHR0dQG5X1rve9S4+8YlPUFhYyEMPPcSHP/xh7rnnHtasWcPGjRsBThpQ0Wh0zPyG6tXf33+ageS6Lh/4wAf43//9Xz70oQ/xH//xH9PWi27ZsoUnn3ySf/iHf+C+++4bN90nP/lJurq6uPbaa6eV/1gsOAPp/Od8773zzA+5GElNHTOY+p/GYEzXQJ+JZ6QZzAoLBGH8YyYfi6GJ95Kq8pOf9bR1EivJBadUVBUhoLraxedTmLLjyjHKOlcapGxWks1KgsHcAYoiMH2QTJ26jsFgLh5TRbnOiRNZkkkXz1NxXQ8pIZ1WOXpM4dJL4cQJ2LfPo7hY0tzs8ZvfwLp1km3b1JNby6JhSSqT85BnOQAC/6DDhbIyj7Ky8e+hRELw2JM6DU0qixe5vOlqi3EmA9/Q5DVIU2cuNEhjEQgHWHXxGur2HSMVT3K8rp3qqiJCQfO8dgW+dHEZx+vbyWRsPPfMOlI5HzmTGqRIJDLCQJqIUCjEL3/5S/7wD/+Qf/qnfwJyKzUvvvgid9xxB3/xF38xJe3O+GXKvQc2btzI17/+9ZPvj3e9610MDAzwoQ99iC984Qt85StfmfE5hrjrrrv4+c9/PuGK2WT8/d//PU899RT3338/jz/+OB/84AdZs2YNJSUldHZ2cvDgQb70pS/x0ksvoSgK//AP/zDrcucNpDx5ziF8foO2Ho/ywnNj+n8iDdJMBmU5pwOnDiqqKKGvq5dsOkNpdU6bVFvrUVs7ygiYjjZkDjVI4bBCVaXGa69liBR4pDMejg011admfRctkqxcKTl0KIqmZclkbMAFBIqikkoF+MY3DXQdNm/2aG+32b3bIZny0HXBAw/YtLfp3HSTiaIILr/QpqFV4VC9iqLARWtsNq6cmpbs0ccNnnrOIBbxOHI8t2Xp9jcvfG9V2XQWwzTPnNGS1yAtCFRVYfnGFTQfb6a3vYeGxi5KSyIUFITQxo1yfG7zRtFb5YH169fz4osvcvjwYT7/+c/z6KOPIqXks5/9LN/+9rfZuXPnjI2koZWgt7zlLafpNm+99VY+9KEPndyGNzz98K14wxnSV41lAD777LP4/X5uvvnmGZUV4KqrruLb3/429957Ly+99BIvv/zyaWmklASDQf77v/+bK6+8csbnGuL87EFmxegZmYU+QzOX5Z3Pus513nIe8lzYCCEoKQlxpF1n3wmH/ScmGfTOsnkakgqPthr8uNHkpW6N5BT9NWSzkEwNzrJPlHCO3vOx4oLTPxxd98m0IfOEpgluvTXIiuUaHR0umbTk+uuDbNlyauVsYAAyGZdsVhCNlgAhwA+E8UQpfckKdr8e5sEHNQ4ccJHSwTAEtTU611+nU1IqeOJJm/37c1swyoo93ntnhve/Lc29b0vzzlsy+Ka4mnaiQaWwwKO2xiMWkTQ0njldx6S3qxyVbnClL9E/QH9XD+GC6Nl38z0VDdKw32e6B1sQQ+vJKj2DRqlaWkXl0ioMU6ejM05bWy/Z7BQ7rDxvbAbjIM3nD7NcoVq5ciVbt27lyiuv5ODBg9x33300Nzfzuc99bsZ5rlq1CuBkfNHhDH2WTqdPfjakPRrSIg1HSsnRo0eprKwkGDw9YPTjjz+O3+/nhhtu4MUXX5xxmd/xjndw8OBBPvaxj7F582YikQiKohCJRNi8eTMf+9jHOHjw4Jhe+WZCfgXpNOZbgzTX5DVIbywEkaiPREajvT3Omlpt/NnsWTTRzh6Nnzab9FkCTQHHM1gbdXjXogzhcVx/ex4887LOCzt0bAeW1rrcer1FLDL+iMfxYF9C42BSxfYEy4MuG8M2AXVmk+4ntz5NNmM+1ww/0aiTVpRr3PO7PjAK0HUoLFRHzNg9+is4dAhWrpTs268BlaCroAKeCopgIAMvvQqLlySIlcHWy1T8GugGgEJHu8O+/Q7r1+e69EhIsm759Pes11S71L1gICX0xQWbL5p6HvGE4GiDiidhUYVLSeH0RrrT1SANOWhIDSSJFhcipmAcpVISIcDvFxNeszGZi5tpBhqkeeNsrWpNVYM0TQrLCvEH/TQeaaA/niaTtaksLyAQMN+4r4s85x1CCD7ykY/w8Y9/nP379884n2uvvZYHHnhgzDyGPlu8ePHJz66++moAfv3rX/N//s//GZH+5Zdfpq+vb9wVoosuuojHH3+c6667jhtvvJFf/epXXHrppTMqd2VlJZ/61Kf41Kc+NaPjp0N+BSlPnnMOgc+nUVNTwK932qSzknR27uaiUw481m5ge7A+5rI64rIy4rC3X2VHz/hzKjv3avzycZOsLTB0ePk1nZ/+ysQbZ4ztSvhZh8nXW3y81Kfz2oDGd1tNHmjxkXDEtMY0JVXldDa3nfb5GRsXiWET36NOKgHDEJSXaxQVaSOMo44O2LsXqqrA8ySdnQqoeu7H0wEFvJzF15fQ2XFcZU9c54W4Qa881X3rBmTS09enjb5rbr7e4urtFgVRybVX2Fx/tT2l41s7BF/6ro+v/dTPN3/u48s/8nN82OqTbcOO1zWeeknnwFGVmToYGn7Y8K2buqmTSAr2HNTYvV+jq2fkRWhrk3zv+w7//P85/H//4vCTnzr09slTeU7lRjlHB9ly1H/Gu0/PdTzXw/AZLFm3lHBBGMtyONHYRW9fEs97Y+02yDMNPHFmfqbJ3r17aWxsHPO7IXfaVVVVM6722972NoqLi3nggQd4/fXXT35uWRaf+MQnALj77rtPfr5y5UquvPJKnnzySR5++OGTn9u2zcc//nEA3v/+9497vgsvvJAnnngCXde54YYbeOGFF2Zc9jNFfgUpT55zEoGiCMorYjx3IEEqZXHjhXMzCKhLarQkJEsCFvag/EQi8aGxp0uyLZwZ87gDhwM4tkNpQW5riywWHDqm0NZuURg7ffB+MKXxbJePcj17clXK8mBXr84SzWN7NDul8pp+H4oiJnbreQa0IZ7jYlunGxSu4+BJj0zq9HZrahT09KiUlUpcV+C6GqAMLoMNazMpcD3IhA1MO0N3QuOwgIICB8eRJOIu1VXKmOeYDroKb3lTesRnmdTEx7y62+BL3wpx8LjO0lqHVWts2jtVfvmk4N63ZfA8+Nnjfl7YpeF5Ar8pue06m60b50rbJOnoVnjwYR+Hj+c+KS9WeOuNKZZUO/T3S775Laivh7IysB147NfQ2GDz7t8Dn+88sxTeoFiZzEnheWF5AYbPIN7dT0trL9msTVFhGN04P1yBh4I+HDtJMpXFMDTU81Rv9UZmx44d3Hvvvdxyyy1s376dQ4cOcfDgQe69916++c1v4vf7+ZM/+ZOT6Q8ePMhnPvMZ4NTWuIMHD/Ke97wHgOLiYv75n//5ZPpIJMKXv/xl3va2t3HppZfytre9jYKCAn7zm9+wb98+3vzmN588dogvfvGLXHbZZdx5553cfffdVFZW8uijj7Jnzx7+8A//cNIgsRdccAFPPPEE1113HTfddBOPPvool1122bTb5vnnn+fpp5+mubmZdDrNV7/61ZPf1dfXY1kWK1eunHa+o8kbSHnG4GwriqfKuVLO+URQWhqivz/D68d6WLtoDgYALgjpYjsejmbToySJK2laCRBQPAZcl4A83S23qjhYlo43uGSUtRRyax827hhBbuuSOllXEjRzQUwh1yEFhGBPXGVbcGoagkR/fMz/n2mEEOMGKfUHA7jO6fWRngApcGyPkmLwmRmSmcgpAddQsymgCqhYpZFN67Qftygo9WhK2PT2wfLlCmtXyzHPMVdICV09KtGIizHoY+LXz/n53s9C1DdrGKZHR4cgmdBZucGiuw8yGYe+uMqu/RqlhTaxiMeJFo3nX9XZtCY1N04VJDz0G4/9h11WLbVRFDhar/PLJ0w+8PYMr78OdXWCVSthKMZgJJzb1njwoGTD+rGztbIWSIkxVQFXnrNKMBpBVU8ZCrHiQvoLIrSfaKO7J0HWsikpjhIITD32ykKlvDxGMpWlvaOfQMAgoOXv0RkzBxqhKZ1jmtx2222kUil+9rOf8YUvfIHW1lZc16W5uZlbbrmFT37yk6xff6rzamtr4xvf+MaIPNrb209+tmjRohEGEsAdd9zB008/zX333cfPf/5zUqkUK1as4LOf/Sx/8Rd/cVpQ1rVr1/Lyyy/zsY99jEceeYREIsHy5cv5whe+wB/90R9NqV4bN24csd3ukUcemXIc06NHj/Kud73rpPMIKSVCiBEG0uc+9zn++7//m6eeeoorrrhiSvmOR95AyjMG54rRca6Uc74RRKM+MplSdjUkuHydPquB56oQLI+rHEioaIEeskoG2/LhKhqBsgYORCRb5TJ8o6K4b92kcviEyvGmIE4Q4o7C5ZstgqUhgmO4DjezBnrKwPSNfHnoUsH0eQQioSldYSubW4kw/T56O7opKCk6K7eGoihoujYtu33laiivgHgCKqska9Zm2bHDAscETZzaBO1JYlGblZpD8Z1h+g5nCDWnCSg+rrxa5ZKtBoXz7Nnw5d0av3jcZOUSh3vuyvLSXo1v/CrIiU4F1xBYadhQ7dDZodDYrHLTtRaxwhCWFOimgWFKTJ/ENBUMnyQYCU3pPrWsnPvxSESiDXtjSXIaJN006OjzU1wkCARMhBBUVwqSGQ20MMmMjc/vEQidah/TD5rmkbFUgpFxBG/9CTzpEYyEhp1wlo24kDjf6jMG0cIopt+k5XgzA70DWFY3pSVRopHAeV/3POc2hYWFfPjDH+bDH/4wAF//+td56qmn+PrXvz5m+quvvnpGwVEvv/xyHnnkkSmnX7lyJT/4wQ+mlPapp54a8/ONGzfS2dk55XNCzti76qqraG1tZcuWLbzlLW/hW9/6FseOHRuR7j3veQ9f+tKX+NGPfpQ3kPLkyQM5XZJOW9sM4iSNQlPgtqosTU1ZXh/QCFCET5NcUjLAJQWSDuK00MtSRroXXb7YZdm1Lg/U6dQLFeGDAz6V779qsi7kcFupxbXFNkMhShb7XQwhiTuCiHZqi13CFWwIOVMevxjmyBlh3dTHXcmZLp4HDY0K8QGF4iKPyorx23cm2o5wGC69FH75y5xOadMmlZ07e/Gc2KCDBgWkRFdsqisdvI4svxNzWHWPgpS5AEWzqet0xsjJtKA/LugfUMhk4fEdBp4nKQ1LQlGX/XUaDV0q2bhgfaHDzVfkDNfiAslFaxye26HT0gE+Ey7fZE3JOKqrU/jJT3V6ewVVVZK77rIoLcm19JAGyTANyksEuw/oSOkgBPT0K5QUeAT8klhU4Dg5jZcyePM5jsT1cvGnJox5NZxzdEB98hqPDrx6jtZnWgjwBXwsXrOE1vpW+rv7aGvvJ2s5FMSCqIpAUfPb0/LkWej84z/+I62trfzRH/0RX/jCFxBC8Otf//o0A2nr1q2Ew+E50TjlDaQ8efKcRm3Q403L66lKSPxuiEKfTVkgixAKOgrdDJxmIP2wxeRLKR89UQWRlsRthfiAIOaHHttgd1ynJZvmnqosQsBKv8u2mM1zfTotmdwWsqyEDSGHTZE53io2Aw1SIiH48c8M9h3QyWQhFJJsvdjmlpusESsZQ8x0vHn1VZDJwIsvwoH9Hrpu4zgppNTRVYHPB+CBTGM7HgcOClatUqZtGHketHYqqCqUFXm5mFLTOH7bJpuCqKSqzMVyBJYNteUeB/sUHEtQEPIo9HkoUUFFlcfzr+msXeqwerHLFZssQqaHokNNhcfqZZN7x3Mc+NnPdZqaFCoqJPv2K4TDGu965+k6r+sus+joVth/NLclpCAquWxTlqYmj0WLBYGQxs8eNvD5FFwFXj+h0ZMw+MXLgqs3WfzD36RZtmT2kwsLMQ6SGPafN8Ci0ZgoqkLVsiqqllXR09ZDR1M7nZ1xIhE/pcURTJ8+eSZ5zk/kzJwoTPsceWbFL3/5S4LBIP/8z/886btv6dKl4zq4mA55AynPGJwrr9FzpZwLh+m0WEgT1MT6GR2GzkWij+o6Xk8LPtNl0KxKbNPGdiS66xLCw7ZMakyFASH4VrOfy2I2y0Memgq3l2ZZHnA5kFRxRrn5nqt6wASJJ8jkqWd1Xt5psHSxSygo6ekRPPWsQTjkUhhLo2mCpUtVAoHZzUDbNqxcAaYpee01STgE0VgKwzCwbZV0RpJM2rR3eRyvV4nHmbgBxnBf7TjwsydNduzTUBW4YpPNDZdPbRVnCJ8JF67NGa6eB4srPDp6FUzDY+dvNewMdIQVVl7o0p9ReGG3wot7dKKah9MjsCxBdbXLhuU5A3myOqTT0NcrKC2VRKOSggFBe5tySp4lTsm0ais9/uBtaY7Uazk9m2PzzGNZunskmqFxsDFKS69CIgN1bSbYEhSPAUXhWy0+fvWczn/en+KOmy1UNRd4NpvJoJvT1KtMcp+NqPJgHKexrsG07u9pJD7TveWERZtGueeypy8sL8TwG7Q3tBHvS2DbDiXFEcJh/+QH58lzlnjPe95zmtOENxLNzc2sXbsW05xcb2eaJr29vbM+Z95AOu8H2ZPVb6zvF9gU6LiMGgW+YTlV/4qKCM/tS7B9XW5GdPTga+jPDJJOPHwISsbx9l8pC2gWvWSw8JEbKKbIoiAoJzoi7Zf6dZokZKVE05PoftAdi0SniZcU2IWCwjKbbl3h5wnBXwzKOjQFLog4bIxMfUvd8HrMF5YFe/ZqlBR5hIK5LV2FhZLDR13+/YsutRU5BwOLFqm8/e4AlZUzc47x68fgv//H49hRD1WTZLMeqipASsJhi0Qit61N1XKfn2hU6E8oEzeAOP3/dc0qv92tU1LokbUEz+7UuWC1Q3nxzFZNFAVuvzJLY53gyV0aXsLDywp6BwT9MUHFlS7BIBw6qvDLZ00uXWWzpMLlyBGVn/3c5N73p5kwbJGAYBAWLfJ4dZfGwICkPw5bt3on72nByN+lRZLSotzq0te+ZtHW7lFRpfLdn+r0JlWqlysc3qdB1gNbgCpBuKCqdHRr/NUnA4SDkhuusbEtC1XTCIROD3o4G8SoP2Zgt4+ZeKH2gBOWaRoFnuu6haIhjBW1dDS2093WTUtrL0VZh+Ki8CmreyE26ELhfGofjxEOQ+ftHHlmRSgUmrJuqaGhgaKiolmfM7/59rx5ysdjsvpNtf4LuZ0WctnOBKfqb5o6oViMh1/OkrbkmPFmDpPlG6Kbb4sE3xJpHiZLdozw9ZUUsFSWMkCGFnppoY8UFitkOaXDDKR6F/akVYQNlisIqwm8lEr8RJRkjx9jaQJlRS/JcJpsMMkv7BS7GenieTpXcF5CmozKU8rcKsnwQbxtS47XOaSSkjVrNFas0Kirc3nsN5kZiWN/8UvJPfdIfv5zj737BPv2wokTkkRS0tvn0dMj6e3P6WUCPggEIBRSCUenvx3I83LtZhoS05C5v2f50hYe9DeAISXFUY9MUpBJCva/pvDSM1pupccTWLbAVQXBIFRUeLS1CZLJya+4osCdd9pcc7VNRYXHm292uP66ieMyDeE4OY913XGFRFoQ8kt0AdkBCfqgZaIooGmDA2JJS7vKF/43wJAjQFVTUbUpGr5nOczOG70HnAmGz6ByWTVVy6qQCDo6+2lu6cF1vOk36BstzFL+hstzhrnoootoaWkZEbNpLJ5++mna2tpmHIh2OPkVpDlntlMr59PUTJ6zgaIIDNPg+QOwrsZDAOWFCkJAL8d4WLQygEMFNhaLeUWUUywVto7ySqeisFHWUkkBvSQRQCEhCgmhDLtH+12BRKAICQoYmoXdo+O5Kv6aJEaZhZI0MIRB1hL0p7M8UW6xXNcIDZ+jmUC/kbAFr3Zo7OzQybiwLOqypcxmSXSao/zxzjHqM9OEtatdnnhGpyAGhgGtbZJ4XHD1FQ6KIlAUqKhQqa93SSYlodDUn1vPg7/8K5XOLhvQUVWB44KbEfjMDNIDgURTPIQQeFISjerULjNZunj6ls2SapcLV9nsPqSjKrDtQnvGq0dDHDqk0NOjUFjgsXe/geMKpIRsRrDrZZ0NF7uYpkRRJKl0zujs6VEoLfXw+6c2oozFJG+9a2pG0XAuu0ylpdXjtQMu0QJJQSGcaFTAJresqkjQh1bicksGipDsP6xS36hQXjjNE4qcIXv8uEV/v4tpCpYuNQiF5jDuznRfDfPxKjlXXk9TLKeiCIorSzB8Jm31rfT1p7Bsh/KyGH7/NLZXzqRNZtmWwaCJbTuDsZB0tHwspJmRX0E6J3jf+97H448/znvf+15+/vOfU1FRcVqaY8eO8d73vhchxIRBa6dK3kCac2b79lgIb5/z7C34BqS0NAzAsc40UkL3QJaM7zDNsUeoM1ayVM0gUQmwHz9+DguNrfL0lQlFCEqJUErktO9cPDqJ06V2s7jAxh9UqOsuJZ4I4vhUPL9AxFwkAoGGBYRVidKjUZ/M0hbzWD7cQBrnUqYc+N4hk9e6NKKmRFfguRad/d0qd6/MsrZocsH/ZOcYi6uvsGjvUDh8TMVzwbYFNVUJigqyJzNKpTzCYYFhTO8+3LNHUF/vAgq6DiDxPIGUBorqEQrbrFwlcF3o6lEIRXwsXWGy/TLYfKE9bQ2SocM73pzl0gscFAWWVLkTb3GbAqmUIBTyCARVHBuQOTfcqgLZtOD4QZWNWx2KiyXZAcH+/SqFhR5vvjmbc3Ix1TqM+nzoq+EapNFJ161TKSoS7N6v8KtXTZIpaG4n5zodoEhCoQAL6JaQFWimxJOCzAxi7R4/bvHQw3Hq6y3cwduxtFTl6qtCbNsWOCkqnpUGabptNR9d4zTzPGsapGmWM1IYQTd0Ohrb6evqo6m5h5LiMLHY3G6xHMEsr095WYxUyqKjI042Y1NSEsU080O6POcn73jHO/jxj3/MD3/4Q9auXcuNN95IQ0MDAP/wD//A3r17efjhh7Esi3vuuYebbrpp1ufMP03n/SA7r0E6/xm//pFITnjcSRt2+HkUrZusazCgDpDBIoJHll58TG+/roPLXho4ITpwVajRAvQ7giUldaRDJvX9S+h2S7HwE8DGJxRCUuJ44NckrisYPrc+0RV8rUtnT7fGqgIXY/CgiiAc6VX5TaPByoI0oydPx9vxNh2nBIWFkve+O82RYyoDg26+d+zI8MILDqlkznixLMkNbzKnbSA1N4sRW9yEACGGjCSVcMjjfX+gceWVKqYP2toVhLCprnQxJpvYHkODBDkjaeXiaRiTk1BWltMDeS6sXevS3Cro6VXQTEnlIo/6EypageSW67NcvsZCFYKKCo/ycu/0ck5Uh0GGjInR2qPRSZNpaO1U8ZkKN17jUVbl8PgrCokEtHXq9JcC1Qon/c2nJBwBNSuoLHNZuczDSk+9HVpabL77vV66e1wWLxr0lOdKWlsdfvyTfjRNsHVr4PSy5jVI7Nun8uJLuThUl1zisn792PfnmaibP+Snclk1ZsBHe0Mbbe39ZLI25aWxhdm4QGVFAc0tPfTH08RiQUxDOzNlXag33EzIryCdM3znO99h2bJlfP7zn+fBBx88+fmnP/1ppJQYhsHf/M3f8OlPf3pOzpc3kM6bp3w88hqk85+J6+/hkg7VYyoqZfRRonZT58aIqnE6UNEYYNU03ZAeoYXjoo1CwphCZ4mi8rploiORaoIli+uxmkI4VoSonaHIsPDSOetGKbCoRKFqmIk00dn3dav4NU4aR0NUh12aEyotCYXaSO4NpKoqPW1dp+Xhui7FFaWI8WKejPPCN01Yv9YFcgO3mmo/ZWUKe/bY+EzBpk0GmzdPXxO0caOHaQrSaQ/Hy43VPVcMllWSSgmO1ymsWSNYtQqWLZk7w2auWLnS4+JNDq+8YoCQ1FZLioo8IsWAKpBezlvezVdaFMVmL9KYyh3a2SP47qM+6ltUfKbk6ott3rTN4oIVDnWXK2QzIR7q17H6AHfwohcpaIsh2iL5wD1pDINpGUiv7EjR3u6ybp15cqVIVQXV1TonTkiefS7JBRf4MM352wJ1LvaA9fUK339QJ5nKlf5Eg0IoJFk8gy2kc4VuaJTVlOEL+mg+2khPT4JsxqaqqmjiLWxnyWDw+XSWLC6loaGTxqZuqquKCId983/ic/GGy3POo2ka999/P3/5l3/Jww8/zOuvv05/fz+hUIi1a9dyyy23jLn1bsbnm7Oc8gyS1yDlWVi4ShpbSeJ5pZhCcqV8ntfFRtrsIGE9RTWtBGkFlpx+8Bi3YxqLRtFNCD/moG4ppEqiahpTa8VQe3CCLmldZ3fnJXjJAvRAD0rEwmdJqqXC3SEVY3TG49z6tguqOH2ArQpwvcFx7iDFlaOdkufobG6b8BxTfeR8PsG11/i49prZDUJqamDjRSov/dZDuuAKZXDZy8GybTo64X+/7nHkiODe9wuWrBD0JQXRoKQgtDAU4ZoG73iHTUeHxRNP6ixe5FFd7REOS/bs1di+3eL3bsue0TI9v1vnSIPK6iUufXHBU6/qrF3mUF3msWyJx5t/x+LECwotr6v0JQUIiSEkhSskH/29JPe8NTtYNw3HcXBsB00f/zVpWR5792YoLlbHjM1RUaFRX2fR2GizfPnk7mknZI40SEMORWYUYHgOX08tLQr9/Qrr1uWM/337VJqblbkxkGZRTqEIYsUxDNOgo7Edx3aoP9FBRXkBweA41/AsaJCGyKQtXFfiM/M6pBmRX0E65yguLubd7373vJ8nbyDNOXkN0pnjXCnn2UWROqrUSKgOKW81FaKFy3mNhFRJZKoJ6yvpUNtYJGtRGbVMM0bz9pAgSYYyYic/C6gWG0Kv44h2Mij4tDQlRgcdiTKaOpdwqKuYtdkUl5ed4No17Vg+lzZZQgnlp845zqVcWeCyv0fHk97JXVESaE8plAQ8yoOj3j4T3RYL4HZJpeDnv9DYvFVwqNGgv81Cujaa6uE4Hq4jSbmCAwcdWpolvQmDldf6SHsqYb/HrVstLlrqTEuDNF8YBrz3vZmcS+/DKu0dCh2dcMFGh1tutk4/YFTZxtPgzFSDlMoITAN0DaJhSXe/QtY6ldGGlQ6XOg4127NkMoJURtBlK9QUu7z7suxJXZYv6CfZnyCdTBGOna6/G8Jxcj/jbbHUdYHt5Bw4nFatM6hBsiyXI0cG2P1aL01NKTxPUl7m58ILC1i9OoLfP8WhwBxqkIIBiarm4otBTrsWDI5t/M+3BmksAuEAi9cuwcpYdDR10NTcTSwaRNMUiorCsz/BHD2X7Z25rYCLaoun51giT548E5I3kM77QXZeg3T+M3H9VWkStKvpM+uxidHk1KKIASzhYveVEisysRUbB+d0A2kMPDxAIIads0Bto0DvYF+2CFcRCMelTLSzxKoj4YVIDYQI1Rxnxbp9+As8uhB0iDb6ZR8rWTuY39hcWOKwq9Nlf49KVdBDV6ErLci6gpsWW5w2tlvgt8Izz6g8/7xKTY3H3/6Z4FdPmtQfsEn0WXR1e6DqKKrAcyE+YPPYb3T8y+Hii1xaexV+8bLBolKXwvCpwaTjQFtnzrdgRdkwQ1JIenBxkRSioc2wcdrbFbq6BQUxSWXlSIO0sFDyB3+Q5tAhjb4+QTQqWbXKwT9W3M3B07suPPMs7NgBPh9cew2sW3d6uuFMRYO0cpHLroM6h+pVsjasqnWpKD61PXF1gcuymMfxfpXSsETzQ9SRXLfUPm0L51Tw+QRlpRrH6y2Kik5/nfb2ukQiCoWF2unVOkMapO7uLD/+SQMHDvQDgmhURwjYt7+P117rZcnSEG+9q5bq6sB0zjrVoo3LuvUuV1zh8OqruYbffoV9VjVI42H4DCoWV+AP+Wk60oiiCNJpi+qqogXf18wb59MrN7+ClGcc8gbSefOUj0deg3T+M3n9o9mVxPUWuvz7sZUBFGlgOgVEzUrqejpZGo2g6vrJyGgJOonThodLkCIiVKAOdhfG4DDbwUUbNKgUJUNEc8CReK6KT82yf+86evYUITxB2E1ghVIc6Y2w1KdT4vfIkqVDtFIuK4lSMG7Zi/ySd67K8ESjzuE+DceCYr/k8sosW8qcKbeS67oIRZmWo4YRzHJQIAHXgd27VYqKJLFY7vO1NdB53KTfAxQPVAWJRCgCIQXplIdfuhi6SkWhR327Sn9SnDSQDh9TefAXJrv3QE+3R2mxx4f+wOLK7ZKXSbJLpHGApRhcJ8OYo8PfTVKvvftUfvQTk55ehWhEcvutWS7eNLLdfb7cqtFU22fXLvjFL3LBYDs64Ac/hIICqKwc/5ipZL1pjQNkOHxCJRSQbNtojzDUIqbkd1dleKpJ51i/SklAckm5w9ayCVyJT9A+iiLYvNnP4cNZ4nGXSOSUlWXbkuZmm8svD1JaOr+v2vHaZmDA5sEHT7D/YD8rlofx+U6Vr7zcj217HD06wPe+X8+771lKaekZ0K8Momlwx+022y/P3UvFxXLmz+Y8o2oqhWWF+IN+6vYfpz+eJpNtY3FtCZo+h67czxUW6HXKc/6gqrN7roQQOM7UxwdjkTeQzmvOp2me2TI02/7GbA9VGlQmt2MLSVbtx+cUoXsBsloSv67T31hNYwiqi6FPO0qLeB0H6+S6TqFcRA0Xo6JRRJgYQeKkKCS31UTgJ6xIAmaarKtByqXteBXBSJKacANOSiXV5aOts4CGcIoSv4eJSYI4aVITGkgAlSGP31uTpSdjYbuCAp83rRl/w+cjGU9g+n0IITB9JkKZ5r0w1eTjPHaCUwFohw8Efb7cl4ahDOqqJEIVSE8ikGi6QtxWSVtwuFGlf0DwrV/46EkL6vtUXtkJPQdTOJ0CIRUUBZ58UuOd9w7A+9JofoVAVqFJzRKQPq6KmSMHohPUS0r49W9MkkmFdWtc6uoVfvO4wYb1zune9KbQPkNN09qaC1xbU5P7fN/+nKE0kYE0FRQFNq9z2Lxu/BdjedDjHauy2IPBZCe9DSb5/sIL/TQ22Tz3XIqWVptIWCWTkaTSLmvXmNx4wxxsx5qAiXr5nTt7OHCwn9WrIuj66foUXVdYtSrCvn39PP9CJ3feUTOvZR2NEFBSMo+aujl8BQohCIQDrLhgJU1HGxnoHeDo8XaqqwoJhc6cYZlnjsmvIC1IZhJ8fS6Ph7yBNIqxetOFbmSMJTgY+j3LEd1ZZ67KNdl1Xaj1H83syml4fqqTW+n0HSGt9eIofehegJLMSmKBGlriWXozvSg1B1A0gUAlSxKQdIgjRGUl4UHN0HJZzi5RRx9JIgRQKCEgyqhSGkkpHn1EybomlqEj8AgaGVwMooE+ejO5wYSDg4KCwdTF64U+mRu1T7MZokUxAFKJFAO9/RSWF6Mp89T9jVE2xwHbBr8fFi/3eOJxjXDYJRDIHRCNSAoKIJtVSSRsPFugqhK/T2PNBhUqVB7epzLQLVjkd/lNh8HuRpVEHOhN5FxV6xqksmBLOtUIX3xeo/TWLFJXMTOCCiB+xKAtYnL7FVn8UxjTeR5kMhAI5F42waAkaw3pbmbeNLFYzj14b28uf78PIqPsiPl+KifwvTAtNE1w260Rli8z2b07TVu7Q1mZwgUbw2zc6Jt5sNgpNsB4SbJZl1d2dBON6mMaR0MoiqC83MeePb1cdWUphYUzdCYhT+nC5hsJiKm0zzwUxvAZ1K5aTGdzOx2NHTQ2dVNUFKa0ZHyt2nxSWBDCceL09iXRNRXTN32vmnnyLESEEKxatYp77rmHu+66i1AodEbPnzeQRryFJlG6LkjGmgoe/tlMNEizSTeXzJWBN9l1XejXeIjpqrRPP97vFlCT3ExWTeDhYnoh1MEAsaGQjwQZeuNJYmGPjN6JQMEhi8TmZfk87W4RSRlgkVzHGn0xx5VmOugbLEUtAQxaZSdxf4h0kY+eE8XoQRsvqbG4ooGCimNoXgVJJGlSFFNGlILp3V2zuFyBUADd0En0xgkXRFFUdV639XgevPSSzgu/1enug7imIPzQYUPLCwrVxS5VFZK773Y5eNDDsQ06OnMrEEIR+Ct03Nt8HFmk0dGsEIxA3PHY1aThRB30xAB20gdKAIIu6Aqks5DsRQlJnC6JEbVwowqNrTqxgwGeNVRCPslbrhjDicIoVBU2Xejw6GMG/f0qnie45ursoGE3c7ZsgeZm2LcPNB1uvBGWLB2Z5lyaqlJVwYYNPjZsmMOVhGlUdqy2aWtL096eoaZm8otVVGRy4EA/TU2pmRtIZ8g4GjzVWb0ZNF2lrLYcfyjAiQP1dHXFSactFtUUn/FyRaMBfKZOc2svjc3dE3vbmysW8sM4XfIrSAuSf/3Xf+WBBx5gx44dfPzjH+fTn/40d955J/fccw/XX389ymwjnU+BvIF03jzl45HXIJ3/TK/+AgWfO/Zsp66Z2K4kQQ+ap5ElhaOkSch+Oj2d1+0KLDXNk/IwS1MX8PFAjB7RRxoLIW1c26VbutR7RZRf3IZiCqxuH4VlfVy8PA3CT2HQRsFkkVxONWN4zptndEMnWlRAT0cX0aKCCd04j2AGg4JduzR+9GMTw5Ac7lc50qaxuNzhkmscjhxTKC+WfOjtaUqKYe9eeOZZye7dKskMxEt0GlYbGEs1VBtcv6BPgyOdJnYYSKogCsAQEAcyGrh6TtyhCxjIYB0Bx/FQqjTSz4V44iE/l1/mUBjSuHKTTSQoJ63X9ddZxGKS9g5BcZFky+Zx9DrTaB+fD+6+O7eCpOsQmcLk+1mSjp0Tg8GximfbEteVE64eDaEoAqGIk9728kyOoihEi2Ks3ryGY3uOkkhkOHSkhaVLytDPsC7J9OmoqiCddnDdMzAaX+DPQ55znz/90z/lT//0Tzl8+DDf/OY3+c53vsMDDzzAd77zHUpLS3nnO9/Ju971LjZt2jRvZcgbSOc158Cb/YzxxtYgTRXdKSYSqqDHbsLLgtSToGocVys5IpfRoEdwVA1NuLRqJ/ic5+NjSglm+gAkX6BRdLHGb2ClJU1KlkWbOvFJBd0qhHiMAhFjq7GUZbISFZWUAwfSKgJYFHDxn6FxhVAEUkqsTBbHHluvohs6qjasQDNY0Ny1S0NRoKhcku4XLKlwSMYVvCxctN6lqUsl6SiUCo8NG2D9ekgmJY906PyyxyQTVynxefRkFbSspDstsHuBAcBRoBoIAwlysWwlkNVABsi+aqNWOmi1Gu5+jdQPFbwBhxdTGslehduvsNi8fnLHCpoGl14ygRODabTP8B5JUaCoaPJjZsu4xZr6wuuCZrxq+HwqhqGQybgEgxO/6h3HA8m8BrM9K8zzK1AIMP0mqy5eTcOhE8R74hw52kpNdRHh8FhuHOePgN8kk7FJp7P4/cYZN9LOWfIrSAualStXct9993Hffffx3HPP8c1vfpMf/vCH/Ou//iuf//znWb16Ne9+97t55zvfSU3N3Gooz7PecLaMNXu20GfU5Bj/n64xsFDrOFflGkuTNVa7LXRmW87Jj1cwiKQvISRrUX0p0FMcE0U0ykV0KzE8zSOLRqtdRIcb5mkkryZ+iuz/ObgD6HolhhbhKl8zF3uNlPb3EejqJTzQyNrCFlbEbCKagYrKsaTKf9YF+J96P/9d7+e/jgeoT02hS5qjyxUMh5BS4jrOaT/J/gFsawpGwVgMu82ylkDVJJ7MOSVQ1UFHDW4u7ovngeudOkAIcE3Bfkun2u8S0CRJRyCEpDerkOxXoJFcGzhAPzkDqRRIS0gpYKtg68gBk+Q3dOL/kiHx3w5ehwDLws5Ad6vgt6/ozIGOdVpM2CPJCf+cEp4n2bHD5nvfz/CLX2bo6JhgZLLADZ+pNsB41aio8FFTE6C9PTNpHh2dWUpLfSxePIs9/vLM9aTy5D+TcIausaqpLFqzmPJF5UgJjU3dtLf3n5mTD1JSEsHvN+jqTtDa2ks6PfkW2jx5ziW2b9/O//zP/9DW1sYPfvADbr31Vo4dO8ZHP/pRlixZwh//8R/P6fnyK0h5DdIk30833VyS1yCNZPYapKlguCWU9b2TvuBLdPpeI6XFkE4MS/VxLL2UvmwBPi/L5cpzbBB7IfkSaXUFAb2aAtelr7Wf13s9fO4AW5d04It6GF4X/cESfMoGCmSMrAs/bzVpzSisCLp4wLGkyi9aTT64JM2Eu4Lm6HL5Q+NrM+zs3AwuNm5wOHTIRzDkEtIlx1o0akpcIgWSujaVyiKP6pKRsV+6LYUBR2FJwCUVcdnbq9GREqSFwHPIGUY6kCHXFg7gB9LDG0YBIoCCjPeTm8K0QWq4hiDoc+jsVuiPC2LRBTJBICb8c0p3+Usv2fzox1kkEisLR4+6vO+9fiKRc3AucJYaJFVV2HxxEYcPD5BKOQQCY7/uLcujqyvLrW+pmnSlaULeQBqkIUauiCqU1pQRCAc5vvcYXd0DpNMWixeVnLGylpVG8TzJQCJD1nIoL40SjszDStb5tDlFMv8rPAukiz1fMAyDt771rbz1rW/l2Wef5Z577qGhoYHDhw/P6XnyBtJ585SPR16DdP4z9/VX8VOUvBp/+iJOFD6BT+ml0fFhuya1ZiN/qHyFtRwgMJChyOmmU/NRK8s5cbyRHc8UItfouJpKhyVYua6fkBHFb2cp1jqQopeWTBXNmZwRoA2OXRcHXJoyKq0ZhdrAAtyTMINBwSWX2HT3CHbu1ClRJG65Q6xM0tCpUlXkcfv2LL5R3uB0RaIKsCWsjrr4FcnjbQZB1cMSChhAarA8FuAjt+VuqIwnfwsQJmDkXH5JF7wMqqrj+lQMXWIYk2uQpsx8b2eaQpqdOx10HZYs0XBdycGDLnX1LhdsnIWBdA4MBscr3kUXFXDs+AC//W0XVVV+CgoMxDCvJPG4zYkTSTasj3LZtpIzU9jziNHtLoQgFAuz/rKNSM/j8K5DHDzczLKl5QDzvu3NNHUW1RTT3NJDfzyN7Y4deHfWLPDnIc/5TXt7O9/97nf51re+xe7du5FSEgqF2L59+5yeJ28g5ZkGo92I5zl/GbzGik2RJ2n3Ihx1l7PCOMLvqt9ls/cqPV4BUWeAtGoi6cRzdrO/U+HowZVUF/Rh+TWkAl1CwclmucBuQVN8pHwNaKIyF/Nn2BkdKVCFRDsbt9Zor+9jMYNy9fZKVq/KsnyZRTQqKCiUtPaqeB7Ulrn4x3A2VWF6VPlcmjMqy4IuESSxrKRIk/TqQBXQQG4FSRn83Tq63BK8FJAFBvf1CQ0UG5EaoLtFY+ViQWAuJ5fHap+Juop56EZMEyw71xC2ndM56bO9oaZSr4XUJQ4ri2Go3HlHDT5TZdeuHpqb0/j9KgjIpHPapK1bi7jt1mrC4bx76NOYwXUVIrd6h6qwZstaThyo5/CRVgBqqouIzMeKzvDzK4Ih15yZjI1lORjGHA71FtK9nucNQzqd5ic/+Qnf+ta3ePzxx3EcB1VVueGGG7jnnnu488478fvn9tnKG0hjMpUe4Ez3EguhV5poK+JCYK62E840/ZlguJEKk9d3KM106yJO5hB2TRwvjNQUblYfoUK0IKQkRh+qdPAUFSEzNJAgWx4kWJDm+IvFZKTJsu2dGLZLnADdVj+L3YM4chNVfo9lQYfX4xo1fg8JNKUVLoo6lPu82V/K6cZkGWPHZSaZwrZObbUz/T4Mc2rBfzIZyUMPeezeDfEBSTAAa9YKbr9NYUX1xLO6mgJXFtt8t0mlIaXgGxQKaZ4EldwKUojc/9PAISBJbpudRa5t3Aw540ghZ4Z6uQZRTDQTyqNp6v5/9v47SrLrPsxFv71PqlzV1TlOT09OAGaQASIDBEEKzEGUSJmWZct6V+K79pXeeotXXpZ8bevZsr1kX4dnecmin2lKYqYIZgBEIDIwCZgcunumc6juylUn7P3+qJ6Znunume7JM6gPq9egqs7Z4Zx99tm//UuHNLmcRSJx5ca40rBvn8nkpCAUgq1bfOIJvXITqWUO3/vuszk5FPDePh8B3HqLSV/fFdi1X6A6WP6py8rhs8zfFz3snC/CYZNPfrKH++9vZt/+LGNjFZRSNDWF2LI5SVdX5Cyt0tXkrC2363G6XWZ7Tjf9nD4IIVi1aTWTwxOM9o/M5UyK0daSuqJ9TSUiuK7HzEwRx7FoTF/G/DHX2z26VOpBGq5btNY8++yzfO1rX+O73/0uxWIRrTXbt2/ni1/8Ip///OdpbW29YvXXBaRFuXz+HJePy1XfuVvl13K2u5z1X4msgdfjm2A5QupiQSkuri9hv4GE10nFHKVVZEiKLJM0IwX06kHiFAi0QYFVuKLApq4RJj6bYHf/eohX6d6Rx5UWSkmGZTMhSnTqAYqyxPb2caZkjOFCjKgIcVfK4yNtLvJyPH6X6A8RSyVQ6sxbrZQv4rvesgWk555XvPiSpqND0NUtyOfhjTc1hqH4tc+ff8GuNdyW9HFVhV9M2gxVJfmwoOpLjBwE+6lpjcpAPzBObSa3qHXaCGoJY11NLf63C6iaQlDZWG6YqDT4+l/7TE3DH/9TTSSy0pXgMg7V8LNnbZ59zsbzap83rDf54q9XSCQu3ShfaxbksNq82eTvfinC0FCA4wi2bjUJha6v53hZwuEyf19Jz1pbw7S2LrLDeg39I66LLbfL8BoSC/5n3m8CmjtbiMajHN17hOnpAuWSy+relivW8Vg8RDZfoly+yEAzdepcY/7gD/6Ar3/964yNjaG1pru7m9/93d/li1/8Ips2bboqbagLSO87Ln3RfPm4nPVf675cT1y+ayExaC1tI2l2sc4pMmOlaRcjDNGJLasEjkGkqHDsNQRqF+/Z6xnfuoqWrQG2LlMwklSDKF2Fk8yYDfzMuY2nKXKcfZRCLpt6BN2uTRNJHrJ6iIgrnOBwmZybG6lSLC/73EJBs3MnNDcL0unavUgkoLu7lhh1bEzT1rb0PTq16L+rwWdr3Od4yeCFYsBfP2czNWiSL8qaUsijJiSZnHE0bgKaPdivQBfAq4IwMAyLcEhRrVbJTfu8+24Ixwn4679RKGXw//w9g56eM346voLjFYNZT2AKWB0OaLD0irQeY2OSX75ikW5QNDVpPA8OHDTZucvk4YdWuHBbYuG5GL29Br29Z4TQ90MepEvieunbtWrHVahXCIgkomy99xYO7TxAqexy4NAwa9e0YZnG9XMP3o/UNUjXJf/23/5bhBBs2LCBL3zhCzz00EMIIZiZmeHVV19dVhn33XffJbWhLiDVWQF1H6T3D2fuscQg4jfxpSDNd4wPEQt/lwZzmpOs4ljodj5aOUFSGRyTIQbtHjSCZJAlXsmjfZgItyCl4rC5lqrZxD6dw0LTThoEBE7ABBMMaJvNrLrW3b3klFmlEpTLmqamswuIx2B8TFMsLr+siAlbEwGlNo8fGjZxCSUFgUtNSHKoWdGV5j7HgSCoHSCqgAVSICQoJEpZBIFLdrZKNGpgO5qDBxV//TeKf/D3bVIpQX9Z8sMph/6yQaBBI0hbAfckfR5rcE8H1VjAOderWBKUSoKO9trqwLLANDX5wtyBV2kaueQqbmAfpPN+V+fCXMbrJgQYpmTTnVsYPNhPdirL4SO1nEmJePiy359wyKZkV6lUXNyqj+1cpuVefSzVuYocOnSIf/JP/smKzxNC4PuL5zhcLnUBaVHqPkiLc10YRJyHug/SwmNPHXNxPkjzadCST41tZzbSjkqN02FV2OqkiUYPEhR+hrJsfGERcUtsHDpE68wk0tdULIeTDR0cW72K+ytHiKJokpO4loOWtZxIUUKMigzrdTcm8qr5IPk+FIuCWExjnFI6XOItTyahISXIzEBsnul/JgPJpCCdXll5fgBvHrPY1BvQlVb8vGozNCJRFrUZ3KMmKJWBcQWNApRX27UUAinAcTS+q6gFtZIo5ZLPW4iCYGzM4tAh2LcvYPUdNn81FmLKk/SGAkJGzY9o0pP8aMpGa/hQ0/JCoKcbFKmUYnhY0tOjKBYFWgsaG+fG5Y38KN5APkgrbd/VZLk+SJ4Hzz5rUywJHn/MJZW6SnaBl+iDtNiBQkDvptVMDk0wcsovKR2jtTW1pFb0YkinY1SrHpk5P6QmJ355Cr5Ox9JFU9cgXZf09PRcM9/IU9QFpEWp+yBdHeo+SCvn6vognVuuX/LZHjfpMfaDd7T2tdOLwSM0lr9PozdD48gkq0dPUIhEyCciuNi0Zif4zfFv0h2WOAjC4jhVq4NM/CE8sxGBQKM5LdRdBh+NCx0yNCT59nccMhlJV1fApz5ZJZ1eeuFVyheplBaa2jnhMJF49PTixnEE998v+Pa3FYODEI1qjh3zGR312bFDsG9/mFU9ks5OjVxEG3Oub81YVjI0Y9DdGBDtgPZ0wHefdeg/aeA2CvzRuethAAWgImtCEwJpgWNqJIrAh1PXVwh9uo6BAZ9QyGR0VDOVNRmtSrbGgtO/SwGttkIgeD1rcmfSo9GqlTM0IzkwbOC6AsuAznTAuvYA24R0WvP0R1y+/wOb/QcNbAvuvcfljh2Xxy9iMR+kxfAC8IwcFYo00Iq4xvnRr5UP0pJcw9fAcrfcTpwweO55m1y+ppG8777L6FtzhX2QFj8QmrtaiCTm/JIyhdM5k4RYxuRVp85NzsDAwLVuQl1Aev9R90G6+bky1yKTKVEquYTF8+DvAtlZ+yHYC6HbSUb+X3SWf0Rs5jjjiRammtNUozZaCG4pHiLtTxOznmJKVnC1R8obJp1/ibHU0xRFmdW6HYOAgAKS+BVdyGoNP3jG4fhxk46OgD17TdJpzac+WV30+HhDAr2E7FQtlynM5ogmYkij1uZ77hFIKXn+FwEv/7LC8eOSajXErt0Gf/HfFVs2w+/9ns3Tv+IuEJLOXfT7AQQKTqVQ6WrR/ObHKzz7qs2hAYNxU+COSYyiRhmgpYmyLIQq09qiiMc001Ma3we/LAAfc27mt+1apKDhYc1MDsaLJi2OXlTwaLI0B4oGx0oG0g74Ly+HefZdm2JZkAgpOmKKdFjT2xzw8TurrGpWbL/Np6NdMTlVi2LXuyo4XfeKmNee2aygVBakU4pQ6PynTZUEwzmJCPs0J8sEBDUNZZ0zXC9T53na0dKiWNMXUCwKui4QBfJy1nulic75JR3eeZBS2eXg4RHWrG6theW+Xu7LzU5dg1RnCeoCUp06dZZFOh3FMj100I+rmrGNRO0H0QZqgEbzMe6ttFFhhvfaWjFigpBvEPXAkpLheAspsQdJmJIwKZthkl4/Be8gKXs9qzDIiW+gyGLpXiI8juTSgzYstkEcBJDJCBobFQ0NmpkZmJ4+X+AEsaS2IhyNUNYl8rM5ko0pAKQU3HOPYCrj8t+/FmdkNEKgNCiNRPPOTp+//Crcc7ektfX8b8/GmCYRVmSKkrZk7dhoBJ5+zOXejOD1AxZJV5Eqa2YzgpZGjW0ZfOtbglLJpVoxUUpgGppTEe2UsrBtQTQK1UpN8mtuNxjWEJaLS4Kn0qsUfcG/ejnCT3c6NEQUnc2KXFWQCSR9cY+BKYO/fiXE33m4QltK0dqqWFEk1vPs6P/0BYu/+l6IsXFJKq753MeqPPlIlXBk8VMSjmbKhM5QI1GSSK5sos7zcVGKivOcdK31/1eTeFzz9/9+mSCo5bq6HrnY+2Gcypd0cIDZqVmOHBujsyNNMhle2sTo/XTz69S5RtQFpPcNi3kVw80zy9Y9k69Gf+OJKJXAZipbIRHVxMI1jQRaQObnpHJ7eL1zI2PpMFmV5G19GwYej3o+h7z1mEHAOnOIDfYIgXQRVFgbxGnRG9C8SJUhDFqpin2Yuo8Qm5bs2nK9sBb73TRh08aAF160yGZriVs3bLi8O9NKwb/5DxEG+00CLweiDFogDBM/iLHvPVBLqaXmEQ9p7ujz+dEem3gIonMLRClAmYKtGwJ+88Ey69vPbv8D90f4039b5PiAh680hqlwHPB9C9s2CYXA9zRKw8YNkttvEQwEmklX1iLWzUfXooYLYCIreOWgRUssoCWlKWZhYrfkxEHJ61WD3q6A7lsEm7tNnr7dXVDOss2QzvEje3uXyZ/+5yi5rCAWU+w+bPLun5n8YqfJH/xWme52taB424CNTaeuy5UXjnxfc/y4olqFri5JQ8OZ1iz3yTyrD+exhhaLnrBCroMpcrlNME0uTvt4ORtxHha9VSuYt1Zt7CUyPMlo/wjDIxnK5SitrSnkYnkPltnWRCJCpeqRz5cJORax2AVUru9H6hqkOktQF5CuOtfqjXQJXsU3BDeQZ/IV42r018Iz7yLEj5nND5PJalLRAnHnFigc4kSij+OxHINBmF+UP8AhbzUNh4tssQ6Q85P4YZNMMslAbBUfibyJBCwjSpQQhfP1Zu6DRiPmPlyqp+CHP1ylIa2YnJR0dynuvPPS/Rrmyzs790je22sR+LOgpxAiQGvQfoxAlhGijXLpVCLX88wMAh7a6DKVF+wasNCAY0LJhXhY89Qt1QXCEcAjj9kczkd57jmPwQNl8lMuPTGYnhJ4bq1c14WuLpMvfcmiu1Nwx6zPN8YdKgGEjLPbcKJs0OUocqOSQknS3eHjlmH3cxZTA4LqtKJQhpkBgwO7DSyteWSLRyykzypn2ZzjivG1bzocOmLQ0qAYzxt4JlR9wbO7bPT/FPyL/61IInrtkvr4vuZb3/Z4+y2F52s6OyW/9nmLrq4zJn0X7Sl5vpMu5bG/FoLVOecuKOZavCIvY32LzVvLraq5s5lIPApojr93jHLFZVVPM4aUF9XGaNQhnLdrPk4Vty4g1amzAuoC0lXn/bZor3OzUVAPgTQJ2XswgMHcBgpTgnX2Xk6YYSZCPm+726kom2BPhCO5Tg73bODW5B6mRBoz8IlWswxriRFPU7Y07ShC3EbAJIpZbDZj0Xe6zgplTnKYnJjFIUy3XkOSxkvqRygEjzx8+Zy9tdZUSmVKuZqo98rLcVw3DCqHMDRSGCANAr8K2iSZUsyPQnq+mSHiwK/eU2X7Kp/9wybFqqAtpdjS6dPTtPj25Lv9FgPTDk/9ion8aIif/9xDZEusyrkc74dqVbN2rcX/43ccnvxgbRF/e9zjaMlgZ84kYWlSpsZVMOFJ4kLx4aYqb45a1MJxwehxSXZCIANFUAXhCAwBlYLmF89YnPiHks2rLl0zt2+/weuvWRDATFEw40mijqa1RdHcpNh10GLfgMG9Wy4trOulcPiw4q23FJ2dgkhEcOCA4sWXfH79184kF75pZv8rKZTdNBfp4ogmIgBsvnsrR/cc5vCRUXpXNWOaBqZpXNZId3Woa5DqLEldQKpTp84KMSmohyjwUO1jGCKJ3RRmBYWsRy7eiG1WacxPcSi/BaNN8TP9GGtDh9hh78QUHi4WE+EU05EO2sQYU3qIBlqJ68+gKGMQR8yZRAX4HBfvMcUYIcLMUqAiCmzSdxAlccHWXo0NacOstVUrRWN7MwCxpEkkElDMa7TSKGnMa4dm08aAjo7lazwsE7Z2B2ztXp7AUfFqPkO2BSDYeGuY5qjBwxtKKAVtbYLOTnmWn0PYgM+1VlgdtngrZ5H1BYUi5KcFJoLnZm0ajYC4rRktSDITEoQ+LeiZJhgS/CpUioKxCcHmlaa2WuSGDQxIPE+wuitgYNKgnBMoCzZt1IQcyLqaUuXarhwrlZoWKRoVCCGIRAW53Jn7W/dBurm53PdDGpINOzZy8sgJBgYnUUrT3pYilYzWzO7qN79OnStKXUB631D3Qbr5uXb9FfENSL+P9d4Jjpc305CcZu/UVkoiQmfDSR5seZ6ZUIJf5D9AsRzHjHo0xKdYbUxyojLKTLCLKDE22b30mqsRyNO9KVMkq6dJiAYsbCJoMkyQY5YIiYvyQbrc2CEHO3S29/j2bQHdXZLcjEW16qGVj0YANrYtSaUCXnrZ45GHLcLh87RyXieWlUNnjs5GRSykOT5i4Niasgvb79DsuO38037YgIcaPO5NegzkJX81GgJPkwpr+mcNTmKwoTVgpiKYDguUkBjhWh4p5WqCuakl2azpalnoy3Ru248PGBw6ahD40NUR0NOlSKU0UpzxQWps1ERCGsfURAyFZdaCZuSygoIvSKcVXc0LfZCuJl1dguZmycGDimhUUCpqNmw4Y6dY90G6bptwXfggLdWc7nU9RGJRRgdGGB2bpVxxaW1JYpoX9qnL5coUS4tH5qwzR12DVGcJ6gLSVafug3RlqPsgXcv+ahmmkPwkieIzfGTmKNPhDg4ZPq3JEe5qfY3OyDAVP4yMKxLxWZJmlg41xtRkJxPlNvygmYhdYSB6gEcTHpusjad7IxAgTuVJOoNgedY658ZBuFomKtu2aT75McXsTILhYUmlUgFlIKTktltM4okyP/mJJpfTfPYzNkKKxftzrr/GMtu/rivgUw9WeWmvTdWD+7d4fGDrPJPCC0xFtoRMwWC6KNncFCAFNEcC9k0ZdLUGOGMG7bd6vDIJhbxgOoBipna9Qw3wsY+79HWeo+06p77X37L4wU9scjnBiZMG+96DRETxmU+6fPn3qkSjteNuvcXnju0e3/1RiNm8QJpgpqBfSboiis9/sMKGnjN1VSowPGxgmpquLnUmCTAQBJqjRzWjo5pQSLBhgzgrmMLF0tIi+fyvWvziBZ9iUfPIIwYPfODsV2zdB2nhuXUfpAsf09jeSDgeZmB/P7OzJSoVj67ORpylwoFrmJzKkZkp4PuKdDpGKhlddh/q1KlTF5CuAe+3RXudm5OFqxjP7GY68VvY/gkeLI3iNudx/COEdIWqCpF1E8SsIh2xIRqDDH4lyVF/E+ORJAUasAOTwdwsUTnIqoZ2IiQBCBOjUbcyJk5iYeHhESdFiqYLtjLwA7LTM2ilCYKAhpZGTMu6KkKSZcE/+M0q3e0u/+2rNkNDAil8YJIHH2xgVU+IbFazd0/AQw9q2tsvf6N2rPPZsc5HKRYmpV1GdaeSsZ4KpHXqut21zmc0pNg1YNG3STF8XGDZglyjwAnDU49U+dN/VDxv1LF8XvDsCxZSQiKm2bvTZ3raY0xp/uN/hvY2gy99qSb0hMNw590eu/ZbTGUE2ZxE2JrODYrfeLTCF548s0t+/LjB97/vMDwsMQxYs9bn05+qJQH2fc33vhfw+hsKz6v1r6Nd8NnPGvT1XXp+pDVrJGvW2Ev+ftPM/nUfpKtOJBZh4+2b6N93nGKuyPH+cbo608SiIcQ5ke5GRjPMZktIKWlvT9GQii4dMvz9Tl2DVGcJ6gJSnTp1LoIlXrbCwrXWkGYNH7VncJrfYbAQIrBMDCMgZJWxRECXXeW18noGo+3kiyGMfIiyiJBxwjT5OZ5g9LSAJJGsZjOOjlAQWUI6TBs9hIict4WVUoVquUxDcyNCCnKZWYq5Ak44hBACO+QsHkL3MhKPw4eeKBEK+/z4JxkOH/GoVsGxavU6DviBxvOubPS1BcLRMulJBKRDiv3jBhFTUwkgGdJsaAp4eJXL1h6ftzosjq6S5GckXU0Bj9zu8eBt3gWF0LEJyfSMZP2agFdfkeRzHqGQRkhJsah49nnNl75UO1YpGBw2eeQRj1RCkc1JjvQbfP6pMh9+2DstrrsufP9vHU4OSfr6AjwP3n3XJJHQ/Ornquzfr3n1NUVHhyCRECilOXRI85OfKn77HwgM48qNh7oP0s3N5b4fi5UnDcmaW9YycnyYzHiGEyenaWlO0NAQwzRrD3m55FJ1fUIhi5bmZD1yXZ06F0ldQKqzQq7Ga7n+6r8ZsL0GNuT7UDlw84rW7iEixiwpESYqW5i2w0wMpikMpNB+mGrRoDBrM9OS4sF7hnm6AywJCLCwWcX62k7cUkNj3rDJz+YwDINEOnV65zSRTgFQLpRQSlHM5YnEYxjGCqWHFQxPwzSIxKI88lCAbStefNlncNBGCkG5ohnoV/R0S5qaLl17cSVojylW2QGv7bXIVgQxBz55a5VVyQBDwl1rfe7o86n6NS2TYy2/7JCjcWwolwSGoTFNhcagUpVEIopYNJjTfAmkhHhUMzAkaW8FIRXpBklrQ02wFAAahoclwyOS3t4A2wbbhrY2xeHDBqUSDAwqlALPM9i3XzM8VMDzq4yM2Hz4qQS9vZc3V9L8obLkkDmfEHSOL37/cc3uvYpMBnp7YfttknT6MsyV79cp9zL2+6xiFnP5Xca8tWR559DR10k4FmFsYISJyRyVqkdLcxLHMZnK5CmVXDo7GurC0XLQXHkNz7XLPlDnEqgLSHVWyGKz/rn/Xs466lwfrOzelsvw3HMGR46tIx+kCZxpol1N9Gx/lzf2r8crpjkk2hj1GrFbXSbeasA9HgZPMGum+fSPeviHn87xx0+WSZsmp+O/LcMXIzM+TSwVx7LtRbUY4VhN8+S5HvmZLCo4208mnkpg2vNCM1+C+55hGkTiUSJx+OjHEjzxhOY73y3z1htFyq6ip0fyyU/YRCIXLlRrqAY1oXGlMt3F8t6wyXsDFnd2+ETDinJFcmTIYOeAyZ19tdB1UkJ4aauyJYdOZ4diw1qfnXtM2jsCWloFw8MB0bBi0zqXD35QIeUZgeWxB12+8X2HfQdroY5v3eyxef3ZcdItC0wDfH9uPtLgeQLHqQWRsCyYmjI4dszm2PEZcrkyibggGi3wxpsGvb0Xjoq4EpY1VM5z0Pyf3ntP841vKrLZmsnh7t2ad99V/MYX5wlJFzsFv1+n3Cvlg7WSOeMi29DQ0kAoGubkoUFyuTLVqkdHW8PFFVanTp0F1AWkOpfAuXuj79e37PuBld3bN98yeG+fpLND0x1pJFuM8t2v9VH884cJtMC0FFavxm0ymX7RJsha0ALEgCIwaPBfvx3i+KZRvrxGcb9Ok2SheiLwa8KNNIzTgo7nulj2hf2MLNsimU4t2NwrzGbxMlkAIokoTjh82UzxwhHBZz5tcdtmTbwxRFOTXJZwdDxn8OKoxVBRErc19zZ73Nnic4UtBHn3pIEGutNzW6xhxVHPYM/JMwLSBVmijVLCJ56uEgppDhw2eeBhk/Fhj852l8ceVjz+xNlS4Kb1Ab/1hQpDoxLHho1rfULnbJB3dCg2bPDZudOipVXhezAzI/mVX6niOLBhvWQ6Y5LJgGVViMcMCgWbtnZFJnP5cmKdi9YQBJzlk+W68ObbFtMZQXub4vbt/lnBJErlmqAXi2qU0rzwoqJchi1bahc0CGDffs3b7yg++MTciddiCr5Yoexy7afd4EEdLoVwNMTaW9dx8vAJcpksAycmr3WT6tS5aagLSHXq1LmsVCpw+JAg3QCRCIBgZjJMftqk7GpiTUVMw6Dcb2EaPsG4BZsBh9pipxHIgR4K0b8v4JXOCiKU4YO6BakF1XLlTF2lMtVyhWRjA9npGZxwCCccYv4K5nzrp8Uix50yxQPITs8CEI6e399pJUgpaG2Fpo7lmXONliRfP+YwVZE0hxXjZck3BkIgKtzdcmUTo3pBLfHrfEypqXqXZ4WYSmo+/+kqmRkX34emRo0UAsTi16azXdHZvtAe5tQ9lhI+8fEqyYRm/wGDcAge+GiFBx+oCT99fZLNmyVvvw2FvEmxVMayJem0pqNjBfaBK2D3bnj+F4JSGdb0wYef0iST8MOf2vziRQcpNVJCsVTlkQc9fB+ef9XmjZ0mvi/o7Q544M4K42PQ0nKmXGkI4nEYGLgizV4+FzsULpeQcZ0IK1fDB2kxpCFZtamX8RPjTI9O4rnXLlnyDUk9SEOdJagLSHVWSN0Hqc758bzaXzh8RjczPg6GoYmGBHHHIprKc+JkiuKgBRHABU5ZulWofRcSlN6NMPXgDJMhgzIBUUyy0zPEUzVTqGRjA+VCERUExFMJwrHoAs3RpYykUCSM57rkZ3I44RB2yL5sw/N0MRcob2/GZLws2doQIAQ0hzQDeclrExZ3NPlX1NxuQ3vArhMWhYogFtIUq5CvCLZ0XdoizPNq2hQxZwmXbri0hKrzr2MypfnkJ6t8uMJps7r5fPLjGs81mJ5uZHAwSypV5emPRHns0csfBvnQYfjmtwRBANEovPqqoFqFz3xa894+k+bmAMfS7H1P8hdfdZie1AyNGxzoN2ltgUhUs/Ndk3I5hB0qUixCMnmmz+USNFwOq6r365R7g/ogLUZrTyuhaIjxwTHKxfIKz65Tp8651AWkOiuk7oP0/mT59zYahZYWzeCgJJGoLXylBL8MibjCkhbSj6ID8KoGpAADkPOqqAAOaCQlMYPExJxX/3xBKBK/cvk9nLCDYZnoIKBSrlDI5mr1RyOEltAqnde0b549n1jwP4szWxXYxtnlxixNzhVUFUSuoIC0Y5XH4JTknUELdxosA+5c7XHX6uWZo2kNI1nJbKXWh454wPOv2Ow9aNLRqvjkk1WS8YX5rS6Kc9zUQiEWdY6+994A29YcPSaJxRq4606f1taLrfT8DAwI8nnB1q2a2VmJUgbPPQ+bNrpIqXnrbYPpqYAjxyT5Ivz1txIooxaevKcz4KEHfNZvDBgaM9i+SfLLl2pCciwGk5O1Z237bbUBUCgI3t1nMjIuSSY0Wzf5tLUuc+v6JpxyldLkcopEQi5tInud+yBpXbuvpqkJhy/crGRjkpmJmbqAtBLqGqQ6S1AXkOpcAnUfpPcPy7+3UsLttysmpwTHjkvCYcX4gECXIFcV+CpgOhPCNCHRosmGOSMg6bl/vdpfenUGy8nS5R/HkQmglebONjJjk6Sa0xjLyCZ/qZimAaaBaVunk85WiiUyYwvt/S3HJpqIIYRALqbauYhHpCum+OU4eKoWoEFrmKxItjb4hK9w9x0LPntXlTv7fDIFQSqiWd0csJzLPpqT/PSQzeFJg6IrMCQYrmZkv8HaZMBb71r0dCgeu88FoFSCo/0mpbIgnVL09QbnzaO0LBa53lLCnXcq7rxz+auWrCc4UTZQGtpDAS3O8sJSGbIWonxqSvLmWyFODEoyGRg6IUk2uhw+6jCds5nMGbXGCgk+BAr6h0wyzxjcftLjjrt87rtXkIwJ3nwLMhloa4OHH5KsXVsTwv7XN0PsP2RgmuC58PpbJp//dJU1q4MLtvOSuA59kFxX8Y1vZjl8uMq2bSE++Ynk5Q3hfhVedYWC4JlnbA4eMjAMuPdej0cf8S46ZH+dOnVWRl1AuiQWm+Evdda/EmXWufm53Fq8S2P1as1Hnw7Yt09z+JAiFoZPfxT2HzTBgs6NHtUGuOMWj3/5/wvje8aZ2cgDqiDNKqLPxTEcVs/+AE+/BcaT2KknSLc1MzE0SktX+1VJ+goghDhLa7WY5sqtuhRmc0hD4oTDNZO8S+TWtM/ejMmBGQPbAFdBs6N4qP3CuYYuinOGkJTQ1xKwpuX8x81nsiD4XztDnJyVdKcUvWmFG8DefoNDrkEsUJjUBIF9gwb/4X9G+MULFn4ZVjUHbNkQsH2bz6eerpJKXrsYuYGG5yctXpm2mPYkGkiYmu1Jn6daqxcUUDdu1LS9Ab98xWZ4SDKb9YmEoVA0mZr1mc1VmCkaNUnUEbXNgSq1QCUeFEqCne+Z3HeXR3srdLYbfOADmlKpZmpnzeXT2rXXZN9Bg43rAiyrJkQfPGLw/EsWq1cFSy6qq9Vawt5kUi8wRVw2F9KYLukAuII6VljO2JjP3r01X8Xduys89GCMlpYba7nz859bvPKqRUeHwnUFP/6RQ7pBs2NH3cfoslLXINVZghtrxrjuWGzGvtQVy5Uo83JS90G6Prn+tHidnZrOzoA773T5vgA353DvHR5PP13F6oRvvunQ0QJPf76f736zDxx5RnvkB0Q+PstAey9NXoWIqcELkNUXKE0ahJufXFjh1Ro256nHdmxsxybwAyqlMr7nLWkCuFwfpJil+cKaCj8ft9g5Y9Jgwd3NHj2x82sG/ADKriDq6JXtOi/XH+I8bX7rpMXgjGRLW3A60p5twG29AVMzkqOzBk+vcUk3BfzJf4/wwx84uC4YFpQGBJYJQSCIhDWf/1R1ee2eu46Xcxi8kQ3x07xD0tJsjAUIYMYT/GLKwlfw2a7zt62zC77w65qBfjh8GFzXIBoVTGckFc+moir4OoD4XIsVEJ3rQK722ZBQrdZyQaEhEhFzwU/O0D9YC0hxSsgRAtpaFMMjkkJBnDZ1nc9bb0leeMEkm6sFx3j88YCtWy/zSu4aBWJobDTp7rbo73dZs8YmmVziAbhSc8Yl+iBpDYePmDQ2ahobNaCZnDI4elSyY8cVaG+dOnUWUBeQ6qyQq7ECvX4W+XUuFY3jwBMfLhMJNNGIZvt2n/4pA8eCXBncioH1+3nkLo0+IbESPtYTZYJeE6VsckGElLQxQ2vBK+HnDwCLCEhXa9hcYOGjqeU/CseiuOUKuUyWeENyYTl6novMfN+kRfqxv2qwW1nkooI8gh/mJCcDg882VYgaC5uyZ9DkxX0WmaKgLaV5ZIvLho5lmFotVxF5nt+rPuweMWmK6gVhyE0THtvhsW/E5MF7PKYnJTt3WgQuNDdqXA26CiPjBpvXB+w/bDIx6dLSvAwt0jk+SBdq8qJdmPdlORC8ngsRszTtoTOCQ9rWSKHYkzO5v+zRGV5aqBBAayu0tEqCQGIYGq3ANDVu0cD3bXDM2sbAqeCMGrABPEJmQCJukpmV5+1cIq5w3bO/K5UF4ZDGWcQc8OhRwXe/ZyIENDRoRkYl3/6OoKnJo63tnOMvgxBxtazwTh0fjUq+9HcaGB3z6Wy3cJwlBKQrNWdcog+SEJCIa44PGAyOSQ4eFvQfVbz8S8HOXYL/4x9rmpsvZ4Pfx9Q1SHWWoC4g1alT54pRLnvMzJTQtiYUL7FjvYlhCPpaArZ1efzykE12OkkIj+BJiYgqMDSeHwZdW4h2+yNU2YplNqL1LPHUKjJjk7R0tl0187olOY+2RUqBEwljmMai/krTYxOoQGHMT34jBKmms8OSTXqSH8/UTPW2RmtCTkXBzoJJr2PxSMo7q95jYwb/65cOQ7MGQmreOSE5MSX48lMV2lIXeFMvVxF5nt+rvqDqC6L24kKNZYBta/y53EBeBQwTlK6tI6SsLRCFhHJZUCydktgujWWtWed9Oe4aTHsm62MLr1nK0gxXJMMVeV4BCWD/foNCQXPP3S7v7JREooLWVp+TozDQL7FNgTu/MQIoZ8HPYuqAci5MuuH8gUi2bQl4e3dtQd3SpCgUBbOzkgeequA4C48/crSmWTqlMYrHFfv2SY4fl7S1nSNIX4Zn7GKLWOl584+Pxw3i8Svvo3il2L7D43s/szly3GB8PMD3IVuA/v+v4MBBxbe/CaZ5rSfAOnVuXuoC0iVR90Gqc71wffkgncKQBsUc7Nszw/honu86inBIctu2KNvXJwltSTL8QpTwYJFcysCw/drq2AQ0RGWVx4r9GHYJ9CGEjEJoB42JG2P7VIha4IbG9oXtDfyAzPjUWb9prcnN5V46xb5yiIlyhFvnmUmFJCRNze7iGQHpFLsHDd4ZMvER9GckOVfyzojJXWt8Pn7XOWqGxVhCK3Y+bct8wpYm5mhyFUEqvFCwcX0wBMQdTd/6gNVdAZOTkoInMIAGS9GQVCgFqYSiIXVtfJAEINCnA3PMR9esnpb1pB05IrEs+MD9AY7jMzSkqVYEloRYwqChS3GyoCgJiQ4A5SPKWVIpRSJpUq4U6WrXnO91vbYv4NMfq/KLl2ymMjXN0Yc/WOXB+xaPNnjVHP1v5GSw1xpT0NqhmZ0NmJ12MYWPry2UW+GNNyQvvhTw2KNLX5Ry2SUScbDt+jLvvNQ1SHWWoP7kXBJ1H6Qbt46bjevLB0lrzf69M7z9+gQTYxWkgHDUYDKrUdMuM1NVXn11ljVrIvy9O9toGknzi8OC6S6JSLsYjiKuFXeVI6wK30MokqipFMwNYK9folKuaPfzeTh0SOBWob1Ds3r1ZSp4XruFECTP0SCFshZepopInq0KMABP1xbr8zVpJ2YMZsoGzYmAciAwTchWJa/0m8sTkC7RB8ky4I4uj++869Aar/kenSKrBLtzJumExopqGqOaf/I7Rf7gn8cYGZekIppkTNPWoigo2L4loGwKbE8TuVAQgcvsg9RqBzRbAeNVm57I2SucGU8QNzXdF9AeaWq+YFKCZQvuvBO6ugT5vMY04cBRCCxI+AFD46B9iJk+FakQUqINSWd7wI5tPmCet3Pbb/HZstFnNiuIhCEWW1qw3LBe8cuXNceOSdJpxfi4pKVFs27dzeGDtGyuUx8kqEU/jMU0Lc2CoZOQK9SCmoTmVm2V8uL3N92axq1UycwUcUIWaTt28f2oU+d9TF1AqrNC6j5Idc6P1po3X5nglRfGsExJ96oYllXbsvb9AK9SYV2XQbHoc/BQgYmJE/zdx32esBrYWTI5MRElGoEOJ+DWeMADresR1rrzV1qYgmoJog0Qil/2PmUy8PWvCw4fFUhRyz/zsY/CXXcuVCOsZG0EF/oRup2AxpjDyZkyXakwQtSiq037grvjZyLZndJ0tKUUQmiEqmmasq7ANDQb2/xFtSFXgju6fA5PGrw7atEUVSRDiqO+wTtVE2UK1icC/utomDUhRTENDf+bYnZAwhA4RU2+TUCHZG/c4uAei7it2NHks7XRp2sRk7fT6LP+uSQcQ3FfqsKPchGGypI2RyEFTLmCiarkkSaXttD5BQoBrO7VvPlmzZzQsgQ9PbVfgqAWjvrRx13iacHLb5iMjRlMTcMJJ0Iuk6elscJTHxRs2WKdKfA82DbL8tfq7dV86lM+L7xoMDMjWLtW8fhjAc2LnXsD+iCd9flyRdJbCZfogwS1PFgtTQEjw5J4yqbkSrTrYyiTLVsCHn548RMT6QRO2GHk+DDTU3kMKUkmIvXX6lLUNUh1lqAuINWpU+eysn/vDK+8MEY8YZNuXMQBYo5o1GTjhihHj5Z47q0hPvirVT7QHKKbEMW5kMpJaxlL3aOvwuFfgjsnIG17CtrO1jL51SpB1cWO13IUrZTXXxccPCzYvKm283/yJPz0Z7BxIyQSZx+7krXRcuh2FA+kAp4ZFhRKEltoioGgL+Rze7hK4NfevpnxSaQ02JoyWZtuZTBj02wHOMJgS1uZh7tHyYyt/E1dCCSHSg4ZzyBpBmyKVImbFy7nyXZJmgi7x8IcyEneDYVJhyvclqpQNQS7pkP8xDOhCrahkT0+w80mkxVBOudjTsLBrKAh5dOXdDk+Ifi5rbmvqcSDLUUuJa2NUmoubPvShWg0dyYFTrTKy9MWR4oGWkODrXiyxeXx5mVo44CtWwPeeNPg0CFJzypF1ReUipDNCHp7FY886JNKaR640+XwcZPxKYnWFl4lQktjwPp1FonE5beJu+02xdatilKplnh2SbO7G9QH6fTnG1Qw6OpQfPaj1VrOMW3SkDRIRhR9PYIv/54gGl16TDhhBycSopAtMDySwfcVjY11TVKdOiuhLiDVmceNZNp2I7X1/UO1EvDmqxNYllwgHCmlUCogFjlz34QQNN1l8068wEx+gs0tUW7RMe6zksgl7m+ZgCoBMUzMqRNw4HmwwpDugZkhePcnkOyAcIzA8xh86TVG3tqNX6mQXNVN32MPkOzpWtEQmpqGSESfTlza2AhjY4JCQS8QkC43QsCHGlxS5RL7qx4lJemzPW6xK4SKisLccbbj4IRDbG0L84dxxbffUWSKkvakx2fuCFjT0rjiumddwQ9PhDhYNBACtAuHZcCv91RoWiJZatmHYwWDsi24o0nx1A7Fi9MmZCS3pxT9lRj78iaWozEDQU4YzHqQKUnKVSBvMF6xYAaYBSukOdgX4QM9Hj0Jn5dzUbLCp00oENDXFLChdelcP2MZycGTBuWqoKNRsanHpzibIRyNEIqELngN7sdje9LjZNlAAW2OomGJABTAgnGVTGo+91mXH/7Q5qXXTQ4NGAgJd233+dxnXVJzPlaOA9s2+Ww7fabJlX5Fm+ZCAf+qU5/Kz3DOtdi8IWD9mhKlsiA7K1AKOtoV1jLSq3Ws7kAFAdOj05QrLtWqh+NcbLKrm5i6BqnOEtQFpPcti72VbqS31I3U1vcPA8fzTI2X6eldaOYWBJrA82hvOeOUMhnY/Kg3xvFUD/6MSfqFgHXC5zeaJE/0QkPk7IXoCYq8LqaoomgmxAcqGWJeBRpX1Q5IdUB2BCqzEI4x+OKrHPrhzwknk5jhEON791GammbHb32BcENq2f1qaYHSW4Kqq3FsGJ+oheG9XIvLpdaIp743JNzfFeH+0784c39nMzE0RlM4xLZOn/UtPkVXEHM0F+un/c6Myf68yaa4jyVrpn37cgZvZCw+0r5Qg3I8b/Ddkw4nSzUNYMiArUmPrqQiZGlmfcF7BQMTTUUIpoXBlC+plKiFsbMEnIqIbgMh8HzB5DHBs4ZNoAWNUvHnx8Kss30aTbAMzUPrXX5lm7sgquGBQYNvvuQwmTWQAqTU7Fjr8fhmQfj8geGAM9c/YsKG+DLCpMOiN7KzU/P3fqvKpC+xWiTxmKKlDdrbL8EY8FoIFheoc/7Py27eMvuworKvw2uzLOadf6o405yba+IrHyuppgYqpQrZbBHP9WluShCLX3hToE6dOnUB6X1MXcCoc/k5+N4MhiExrXO382sv9/mjbiaw+GGkhfdiIfxJA3+vRSYnGbU8pm3BkfVZvvjAMRKOSYIefCRviWlKBKSwGaRIOmpylzSgnINwAorTYEfAjuJXKgy/tZtwQ4p4eysAoVSSyQOHmTp4lO5771h2v+67V3NiEPYfEDUzq5TmIx/RxBZZZK/YBwko+oJfTlnkPMEtSZ+NiWDB9boQGmhoaSQ7lSHZlMaxBM5yTBTPLWReMMRjBYO4qTh1Ow0BDZbmcM5cICAVPMG3TzqMliXr4gGWrH335rRFgE/S1OwpSor4SCkZ0gEiVCFc0ThxSbkYwa3Y4AuICjA1TAqIA0Uo5+GNCZO1RoBpghOHLQ0+maLglaM22zp8epsUWtci5SkFP33bJl+SbO31QUClCu8csehMONzXwELOuVkrnSVLJc3RoxrPg/Z2QUfHmRIMCXfcFjBdMQgCydpuF+NSolBfrSl8/jW5QJ1iif+/HD5IS5W96PFi3uerJSxd5jouR3GxVIye0CrGBkeZmZhhZHSGJi9OuiFWXwKcoq5BqrMEdQHpirLcmflmtDG4GftU5wwL769SmqmJCrH4QjMO11Nor0Jfx5kV4QkvwlAqjO8bmCMVtid2smHjQYp+lOHBHfzwYJzVawa4tW+Mol5LgjuooohjEsbARlJMNcPqO2HgHZgdhVAUNjwG0Qb82Sx+pYodi5yuU0gJWuOXKwvaeD4SCfjiF2uLX9eF9nbo6Fj82IvRy/541ObFKQsDOJA3+AerK7RfIELaYvVatoVSisD3EZa18jxR56xGk7amkj+7kFIg6Isu1KYcyRsMlyQb4gHGnEAVszStIcWxgiDVOc3Jik/VqBKEqoQ9DVkbOyIQAnzfoJSNMT3aSFCyIBDQTs3ULgwqJ8hHBTNSsyHtM1aRZD1BOqoZmRUcnTAYn5G8c8xiuiAolAWHB022dp8JZBF2ar42g+MW921bRCN0CVNWLqf5678O2H9AzQnRgk98wuDWW89sFjx6l0tro8IPYEufv+yySyXN8eOanh5BInGV59W6D9INjR2y6VrXQygSYmJogrHxWSpVj9bmJIZ5teK916lz41EXkK4oy52Zr5cZ/HIKNVe6T3UB7Nqy8NoHvkYpjZBLGYvB/J+K2qJgm3hCsNHo5wNrX6YkwrTYE3RGRnn2tU+RnV1NGI+8OEGD3kg7YQ6TYxYPCXSJGHrbU6i2DRhuGWJp/IZmZtiHmywQ3WaRfX0IJ5lACEE1V8CwLWLtLSseQuEwbNt24eMuhpNlg5Sl6Qor9ucMMq6gPbzIgctoc2NrM5PDYzS2tyCMS1sAbU/57M2aHC0YNNqKWU9iCrgjvXBxX/RrDTu3ypCp2FP1WBMukBaCyVAJJV20NEBb5KdTIMCSFSzlEqFMoWihXQEWp/+UAcoHZdWi8814gpxfC7ft+vD8uzbFoiRkaZIRBRqGZyW5qs0dymdNS00gUgqc8/kQzWM2Kzh01MC2YOsmH2tO9h8fd9m3v8TJE1UCBU1NJlNTEfa+a7Bxg8B2BP39ih/+KGDtWkE0Wrs2lgm3bfBXPPZ+/JOAl15S7Ngh+Tu/cZO9tutT+RmWcy0u4npJKWjpbsUJO4ydGGNmpmZy19KSJBxehkPTzYzmymt4rk0qtzqXyE0209ZZPnUfpDqXF9MSSCnw3OW9baQdMFtwEHlFPDWL0JqxQjshWaEnegLTyRNyKmgUIDCQ3KubSGNTxKcZhwDND4xxym0hOnQDW4IQpdyPmJHHsGZGCW2eRkarePtGyA11IEyHrnvuoHFd30UNoSu1ltua8PnxmM2+nEFvRNE5pz1aUN9yKr+MDVwfD/hcV5WXpiymqoLWUMAHGj22JhYKSGlHYQioBDXfo1McdxUVy6XPkBy0qmjpU8pF8LRJMRzHbbbBhdJwBFlUhGIlcBSF/jh6xoIiEAPCgKeRlmY8J9E2VHw4NmEwnRMEhuTWHh/brAlBgYBYXHNk3OBETrKlM6AlokjYmvUdVWqS19KUSvC1b4Y4dNTANOCh+12eeqzCj348w1tvFcnnPSKRWvCKPXsUR4+6+H6I1avD2I5JS4tgYqKWPysaPedervAeWVYthLc9fy17HfrZ1H2QLrGMRXyQznfMcjlVVrIpheXYTJwcJzudxRvJ0NSUIJWMXKiIOnXed9QFpPctdQGjzuVFCEFPb4zd70zT3LqY+uPspKYlx4BpA10WzHSl0VLSzCRRq8j4TCsyEtDd/S5VFGm9AZsEAsmt1JxHDpLnJ2KSWTQFNDKYxd/3El35nTS8dRQrn8PtsJnd3onbm6Btpon25K/QtGEt0ry4qW/BU7PIKmY5PkhBEJCbyZJqTgPwaItLS0hR8gXr4j4pe6HP1lK4uLh4hAljUFPfpFoayU7PkGxsQK5Ei3SODxLALSmfVbGA0aqkxVKkbb3ojujaWMC6eMC+rEF3RBExNFOuZMTzWdU2gu8M40gH002ghCDvJvC1hS0rFAaSeGUbI+wTuIIgb6ORkNQQF7WADQ4EtmDIkhTQhMuaYWXQ4QTEDcX6NoVt1vyP9gybnJg28A1oiCumcpK9QyZtyYB7N/jEl8qlNK/fo+MG/ScM1q8JyMxK3nzH5O3XK7zwQoRIOEFLiyaRKNPVVcYwoFKRvP6Gz2uvFbjvvjiTGYGVEkTm/NQuZcb90JMGWzbLs3ya6j5I5zm+7oO0ZFmReITOtV3YYYfJoQmKhcr7W0Cq+yDVWYK6gHRFqfsg1blZWfz+rt+c4t1d01QrAc48NYJtGfiEOD5WpadZYpkgXA0+4EsOZG8h7pfYaO9nptjIK9n7sGMROsW9dGmLGB0Iziz0AzSvilmOzAlHBXx6X3mFI7tepaEwRnpsgoyXYmpfK+3js8Q+bDC5zifW3Im8nNPeIkN8WXpZDb7nYdk1LYYp4bbU8n1STjHDDAfEIaq4tOhmNrIeAwPLttBKEwQBQspl+SJpNBlRZYoygdCYCJIqzO5sgjcLJoVAEpWKHTGfx1MuoXPKtA347KoKPxy2OZQzmaxIkrZia9cJUi17yAmHkOnSGlSYKa3C923sSJn8wRR+3kREFV7JpDIeAt+AgNobyqpdL3zwA6j4gomIIGJrck7ATN7kyKwJUZf1MuDYuMGxSYPGqKIlAToNUzmFGwge2+YykZd8d0+CLyVc2s5dF87rUyqpaEgqjvYbFAswPKAYHQqRSAiqVYNjxyRDQ2E2bipw6y1ZNm1S5HIW+w4qRtoDzHtjJNda/MGoYNuQ5rGUz7qWoJbXhtpmQaA4/fl82LZgzZprNJ/WfZBuOizbIhwNY1oGgVL4vsKs+yPVqXMWdQHpilL3Qbpy1AWwa8vi176zJ0pHd5ThE0V61yTOOt60DBAOA2MV1nUZrAvytbjRCAJMXpv6AK+L+9BCIDt97h0K2BhdvWhNHooBfFwEEp/GgwMkf/FLGrqzRAazjCWaeXXwfhrtGdz+COsODKPbK+SZJcJcCPIbcQid0+YhRshTIE6cUTFGu24jrRtAQLqticnhcdKtTRgXWIVPUeY9Mc0oJSr4p5VII57DgFekTTbRYYTI+ZKfzdh4Cj7RtDDMd9rRfLGvykjJZee0hdSag3YGT4BBDEcYCLNIzCoiPEUlG8bL2BACvyJRQ05tt9Wf66cz15Cg9q+W4FUFMoBSVHDYNzGKmtkq7Jq0OJmVVHKCtqgiNGdBJwTEwlBxNVFHsyEasPu4zd4haGta+po0pjWf/XiVt3aa7N5lcijrIYVmZiZCtSLRGpyQYveuBImkRywZsGYTZLZY7FsfpbHRJnBNJrLwjobXj1nc7QQ8udVlalby9jGTfFmwqiXgvg0+fW3LDCN+s3EjPodXiivkg7QYDS0NaKU4eeQkY2KGrq6V50mrU+dmpi4g1ZnHjfSWupHaeqW40Jvy6q88TFNy38Pt/PA7gwydKNDZHUUsob7oMF3WFHMcs5K1BbANOgAsDTMG/+3xXC05KQusvnCQaAzARaIRE1OkHjDQkUbUuxPkykl6IkOEdYWCF0dOe4RLIOdpoa7HIbToHVvEzuiUhZuJiUJTxUXO/Te/gFgyTilfJJqILWlqN0aRV8UoOVzShGimZh5ZCWBXRWBFMgQUodxFq4xiCsGuosUHkh7NlkajEfMqVRpeG7f55biF0jAhV5PqrNLaXcIUkpChaYgq4uSYPNqKVgbS9FFD1hmHaZdaeG9BTVg61Xc1Jy/5EAkU+aDm9yY9QeBqRqoSzxP0mGfbtFQ9cEywzZrGJhkKeGfQ5qEtHufmzqxW4eARk8npWr6iB+7x2PO2wHVdiqUIbhVmsxo/ENgRC8oOmZctOjsrlLXk6FYHfyRgTULR3qCwJQxpGIsJ3njP4JX9ESIS2hoUYRvePmpxdNTgiw9VWdO+UEhabPwvGBc3iJAxvy+wUMOzZF+vVxa5B+f2YUUyjzjn82JcgQtTrnjMzBRpaFhGcrCbjbqJXZ0lqAtIdeqsmOvl9X2hNlybNvb0xnjiI108+6Mhjh3J0dIaIp6wa2Zec5cuCDSTky53Zg5itm3kiEygYgJMScJU/OTeGTY2qbN6cbYPguA2HeOnYhaJpNKVAj9Gpuox1R6nc3gcA82x3FqaOgrIxjDScqhwnHFGiNFFlPYFbb9cd/Ziy1muU/apr1bRTRWXEiU6dTtJzs5cG45FmBoZJxJffOFTwudNMU4Rn05iZwk6JSXwfJt4YDJUURzIl4iV4phICkLwRrJEW2qEWVHExqBLN9JBI9Mlh7enTNrDipSjiZdDDEy0092yh8Cx8WWIzrhE63GamSZoNSh6YY74m1Ba1oRlSe3tNH9hEcx9nhtH5bJEmxrb0lhRzVBF4qCxBOR9QXIuB5RSUKgKblvlnzZna4gEZIoWmaKkPXWmklIJ/uZ7IfbuMwnmvm5IaMYnFdWKwHMl+YKmioHfalJsNCAkyRkmI8MW1TGDYByEpXi3pJi+V+NOCSpuLb3T1H7BVN5kfW/AXet8pITWFBw4afDqIXNRAenUHQn8WtLQRcfFcgebBi0u0R9oicFd9eHojEHelQQKHEPTkwxoiZ5xWLuQK9MyXZ2W1dBLepbnnbxsYUWc/dVK+rIss9zzcLF9TTQmaa16jJ8YI18o05CKXh+vtjp1rgPqAtIVpe6DdHNys/ZrJZz//q7dkCQSNdn99jT9R7KMj1aQUqMDj5aU4MAMNDfbfOGJGP/i9hIjnmK8IulLB9zSEFAUVcbwcDBpYPHM7w+SYBpFP1XKfVtQub0EZoGjv5lEv32MVYcHiVsekZ4UueYOVIOmII4DmixHadP3kGD1WWXeKAamp4gQ4Ta9bYEWZz7SMAiCAGkYC3yRhikwTWWBcARgC81UNsy+mShVzyAwXBJBQOCZjAcefzbgsbpJsKO9SsJUjIssI8zQpNfi6wgRo0SH/TrrnT2UVYW1Xord5kbekwk26+PEwq9waJVNPojhV00Oy438/NCHmHUbzjRCgxAK7YtaWDrJaU2SX4WiLSgrQcRQSDQVBBUN03MCkhfAVE7SFNP0NJ0RPuTcAlqfE2xi516LXXtN1q4JCDkQBLBzj8nUrMD3JUqDmzDwWm1UVHDqggY5SWnShjLQHKDHDWb3SPJRha4KSGrMApQHJJ4h2XcADvcYbFxVa1M6rhmcNPD8Wijw+Rw6bPDqaxYjI5LmZsW99/hs27pyfzWoXbtL9gc6p4BcVbBrzOStEYvhgjx9TbWGZEizpdnn9jaftemrZEJ4jqByKWVcajnT04p9+3xWrzbo7r6UrMDn52LbaFom4VgY0zIpFCqcHJqmu/t9ZmpX1yDVWYK6gHRFudF8kODyCTZXsk/XWvi61vVfD1y4/x1dUTq6okxNlDl2OMvkeBGbKmu7bDo7Q2zaFCMer01Bqzmz4DtBlp1ijCIuDiabdBNbaF5QfjMmn9MNDOBSQWPHP0O/+An5SJYTH7yFllXr6R7TYFiM9oUJR/oIUXM6KTFORhwgrlcxP/jDohSLcOQgTE9BQxrWb4RYfAXXauUEaCaoUCJAImjFIXLudD1vGC4lHAGkW5uYGpkg1ZzGnLf61miOiywOBvKc87WGQ1NxJqYS5LWmKeIizQpeEDBZjGPHZnDtAjsnGhl2DTq6pqgQxfV9kuIkue4qRbWftPkyXtWnNSJZJfaxujLK9kCDfgOhs5hBN3vKWzhe6WBdy0ECLfnuO59Ba4lpenT0DpFIZlG+ZHK4hcmR1jPSjQLt1fIuRcPQGg2YmDGYrQhOFgysElgGtCQVt/X6ROfJ2fmqJGJr4qGzJaTDxwzCYRASZssCS2pW9QTMZAxsx6QqBDSb6AB0CXAE5IEqEK39KwcUsj3AWu1SrTqosARb4x418CsGZgjyecnLOy3WdARYFlRcaE7oBTmkDh8x+F9/FaJQEDQ0aI4cNTneb/Jrv1rhlm1nC0mVCuzebeH7sHWrTyp16clXLjTTjRUk3zrgcChjkHI0fakAZ14QipmK4LUhiz3jJh9e63J/l7ekoHW6wqV+W0G7LvX4y8XPn63y7LMuW7eafPn3IshFc8RdW5KNSbTSDB4cQJ+7Y7BS6q/GOjcRdQGpzjncCLPbtW7jta7/FNefD9JiNLWEicYNgorD/VuWyD0z19QyHrsYwyWgjRgFXPaJSVp0hCaiC3qTxOBWToUUX8c23U2FGRwZw9oYQ6/K4IosOvw6toidPs8kgk8JhYeBs3ibZqbRsxmC53+OPHkCaVqgAuhdTfWRDzE7k6+1oaeTUCp5Sddo/mU4SYk9IssEFfy5FWMck7U6xm2ksJG1b1egDYgmY5SLJSLxGMbcKjxAU8AjtMhrYCAbYudYgtVRl5zQzHiCkvIJhUdZm8ySCGeQQlH0ohybXsORkdXYTSVCQc0nLBQZI2M4jMiH6YznedA4Tkj5rCs/T5doYtZ2mKAb01Bsd/ZQ9W368730pvtpT48wOt1B16pBmrsnqORDWLZPz/oBQDA51lprpABDgKk1vg35kMSwwcpCDMWadEBPKqAluVDwmCyafHCrRzx89oJQGHBoTHKwaFD1BaahcaqarlWKeFhz7IgBCEwXXCmgQM1faq58s8ElmZomdlue8IdLlK0QQzt7CXaZ0C9r7lUuSAPGpySjE5JIXFOoCD5yR83kbj5vvGmSyws2bwzQQGsLHD1W0yht3ewjTyklNPzgGYeXX7ZRWrNtv8lv/t3y6cS2F8v5xlemLPjGfodjMwabGgPODYImBKTDmnQ4YKwg+f4hB1Nq7un0l5SDTpn/XWjmWumsdsVmwQv4IDU1SVpaJS0t8rzC0XJSA1xJwrEw6bY0+eksmUyBdDp24ZMW49q/blZOXYNUZwnqAlKdOivm+hA8rlcfpIUsI6fP3I8lfMrCJ00IiSCBwzB5SnOR1S6ESYjYKd8iASLSiOWGCE0rqqFRZKwX0LhkidOD5EzmTYUiqB7FzLwB+99GHc1RemsANTjDbMNqEreuxk6VOPqj5zj6l1/Db1xNrKWFWHsra554mK57bj+rx8p1yQ2NApDoasewL5yxfoACLxYH8AqzNFcFTjKNSqXI4vGOmKGofT7ghbGMMMjlT9/haISp0QnCkQh6XtjvRTfxNRzORFFa0BDySaFJxAYxo4fpck6SkjNorSlrhwmnmbCdpVBN4GlJVqQwdYBQJlVtI5w4s0aYd0SIJn+Yqi4yZbYTE4LVpCDqMpEpszF0jGPZdThWlWikgONVSaZnKGZjeJ4NAUTjedKtU0yOttbeXFEIDAgCgatrfm2WoYmkoFSVrG452//lFMcnDdKRCrd1u0wUbd6dMjkwbVJyYeeUydFpkyZP0ZhWFAqSkxMG4S6f1BqbUFWQH9QEgQA1txo+JaQIjWzQ5M0GSu8lCE2U6dx0gr7IMY6c2HLm2AooE3Jlwc5jJrdv9nn8Vpe71nkL2jo0bJBKnv38pJKKySmB651JyBsoOHLEIJ1WRKOaEyck2aygqemc/s/zQSoUNIcPBxQKmlRKsH69Qejc2O1nn3qWD9JLJywOZwy2NAULBNBzaYsp/JzkZ8ds1qcD0uGF92V+H28WH6RHH7HZusWksfH8F+ha+SCdwgk7JNJJMmMZcvky6YbY9fP6qFPnGlEXkK4odR+km5ObtV8rYfn3t1z20NUid2+68HZ2BJMwJrNUaSRMARcbY6F52XKZnUb+4m9pmzhAITxN9p4JKhs6cUjTqLchEFSosJ99DLr7UJUD9OV30dA7TXFjCPWoomV/kchz71DO72JiRNF/QiG1hRrMMzvZRSWbZ/LAIdYff5LmTetp3baJ4sQUB77zDLODQwCkVnWx8RMfIdG5MDAEgEfAy4zwDfcYedMjYnv0ZMpsObqPJiSrciV8AWOrE+T0BI2RbljzWc6oEC5MY1szmfEpEukUlm1hIkniMEqRxDxBcapsMZQP0RByAU0QPsrGxAt0mseJUMYH1NweeQ+DTMpGDqktVAyHiumQ81LEvQqxoMSQakQKSUj6vC42sFa+xngIMtIlpvM0hyOUrRiWX6YjMovUkp7kMB2pEdKxSY7NrsXDBgO0FAhD195aSZBz+ZE8C5wKRA1oiyoKPsyakv0ZgyMBBGGIo0lWNKWsoDGmeGJjgRIOf7M3zFjJIGEpRjOSA65JdKMiGIfCjMR2NLfe4XHYMMifdOhdpxgqayZmNHiceQwqtf8PkKiyxKtY6ABOzK4m2l2ERmCQWqCJAPBAV6A3FvB7Hy7RsoQ5XFdnwM5dFh3zhs1sVtK3OmC+vG0YsG5dwMsv20xNa7ZuCUgmFylzTjg6dizgO991GRpSp79bvVrymU87dHQsvpifbxo3UxbsGTdpi6oLCken6Igr9k8Z7J8y+UD3QmHwsnEd+SBJKWhru3K+R6e4HG+kRDpB76ZeBg4MMHhiklWrFpo135TUNUh1lqAuIF1R6j5IV4ZrLXxd6/qvB5bff8OQ+NJkJq+IRwRTWY1lQktq4coqjMV23cZOMcYYRRwMtuhmmrnI8LO7X4XBw9gda0jOhgm/VsLt2EEkthZLhXAHXuHgyf9FXs3gdydwuwQHO3s4ID9IhzlKkztNf8tq7B1FGl8foOoZjN3by6GeHXixMInnDxD7v1+ATJmx3e/RcccOVj1wF1VVYvTou8TWtGJgM3H0MMYPbXb81hcQ59hRVQn4HxzlWSbArhChhBEqM5KEvGPzxT//Drq9nXBzmO6RESrhMiW5jZD6FaQ8vy/UmCc57koyIqDB1HRpfVacuz6d4KTIE6Aw5uzEslWTgmvgK8GkN8nt6VdYYxzA1RbjqhVDVInLLI5RReLTZo3RIcbZqW5DmAF7SFEgRFh5GMLjBAl61BijIsrO0AZapIfWHmVRRDua5rhgKmeyuXmAcuCS6HsOT2tiqSzbGt7jueEnKYsIdshjdqwdGQYsSCmFFJC3BCmpaXMUSkNjRNPX4hGOwKG8iedqfCFoMhW/sanCQ6s9/LLH/zzeQC6QbG30EQIGRyRNUY0Xg0Ja0BMN2NbucTBnIsZBKYHhCgiZhFKC4jS1EOQaCANKEFTM0yqaylQEP2xRLkWgiTPCkQQqUCoL9g6YHBszaFkiSfDdd/kcPmJy8JBBQ4MmlxMYBtx7j7fAHO/pX6nS3aVO+yAtZV5XLGq+812XsTHFxo0SwxB4nubwYcV3v+fy2//AwTRrz/dSM92BaZPpsmRz09mBF843M0oBcVvz9ojJ3e3egmAUpwvgPIUso57Lcfz7ESEEdsghlozhVSoUCxWiscUD5CxJ/ULXuYmoC0hA/amez41wHa51G691/fNZauxeP2Patk2kjHBkvErI8Cl4NoZUjM24OKZgwznRnXpI0qBDFE9FsdOhi+9KbhZCUQhFMJIdhGenCFdbIRaBgbfI7PpLfDlGWARsLp9ksKGd78c+xmb7AE2VGaJuCU+YVFMxJj+wDvu5fvp6ShRvrfDugRDJv3iN6lQOww3IHO2nks0zdnIfRmuY5J1d5EMjVB0bvcFCndjPhslpYq1n78z+lAleFrMk1CgpMigMKoSwpUeoJ8exNe0k0ybWNo9w0WDYaWZyVRhpvkEH99FIeEGQhkDD17M23ykLBkwXTygiRsCmaJTPVPM8IRP4gYmbSyKMIieSOdJGjAiasmcwlK9laL299z1WGYfIlFNUjTAdzgk6rZM4skow1868itHkTHC3eoN35O0Myw6GrW4CZSF8A9cyOSLaWGcI9ohb+Uiwi5JoJswsniiSChWJs454RWJrg9FSL0iL7FSRnva93NO8k53Z+8mOtKPGWtic8Glp02yMeliG4Lkpi7TSdMiAVEjjGwIrovEjgs+0VfB8ga9gwDdobtV0pRU/2ecwWjK4pTU4bW44U5KMFiRaQtEX7CwITg5IihVJwglQCibGBa4pMAKwbXA9apokiznHE3Fmka8EfsUCT9QEo1PHFGt/wobxquQ/PxOmp7lIZ+OZbeZyGXbusnhnp0mxJCiWauHKN2/yl4xiFwrBPffMaWbO42t/+HDA8LBiw4aacARgWYI1ayT9xwP6+xXr1tWeyaUeu/GCwJQ1oWc+F3pMG0Ka6ZIk7wrS5sUHBLhmPkgrmVav9BR8BcoPx8K09LRy/N1jTEzmWL1SAen6eOWsjBtEg/TVr36VF154ga9+9auXXthV4uGHH+bFF1+89OAf14i6gATcmE91nTqw9Ni9vsa0aRrISJggUCTCBlprKq5N2VW8tLeIY3GWCV4ch/ip4AlLdGVZm809a2DwMIwMQqUIvRsg0VD77cQepsgz2xwhHCkSiRTZH9lM3CoSVyVipTyuNtACkAI/bGOvidNzZBfb4kf5b//vOMHgNMJVKEBqjWeXcRsquENZJm9NkF23kSAZx6oqoqs8VoVmuXVeRL4pPHaJHEYwTlXaHGAzkoAEBWwqxM0cuQfCpEdKeJaHkTEY6WvDiCWR7OOAbqYYNGFWO2gRNtttn1aR56/yLv93rpUxS1GcdfAnTHA1J2NVMt3DBJ5L/1txhmYMyqKPwY4cxo48zSFNqGqTrxqsbxllXfJdLOlS8htZbx2mxz4OAnwMDDRxckREiYxuIG7m6GGQcdFGv+rDlwZG3kOIgNFkJ71GhBEqFNU+4sEsnpBYRhjT3EZv+hOowi/pn7WIWiY5FwI/xvTYWhpFmel31xHWYZ7sCvh7t5Y55BvszVso4OOdLkFFk/dqsfg6QgHtacWeiknYgvBcPqTpsmbKq42WE3kLR2rknHTkK8j5gkJV0N6gMCowMyvI+gZVJUjYYGooViSuBZ4S6FNyvZwbjPPINn16AADMiklEQVS9808NzFOhyStzf0XAAykh3aFoTGlmi5Jf7rf43ANVAMoV+Jtvhti52yQa0aQSGq0Etg233rLMEN/neSgKhVoDTwlHpwiFBF5Q0zBdiEogMC5iijGEJtACT82/UPO4vqathaykfZcyb80/eBlT/IGDBkeOGUgJ69cGrF938SHVI7EIXWu7GTk+xPBwhs7O9EWXVefqsXv3br7xjW/wzjvvsHPnTqampnjooYd44YUXFj2+VCrxX/7Lfzl9/OHDh9Fa09/fT29v74Ljp6en+fa3v80zzzzDe++9x/DwMPF4nDvvvJP//X//33nyySevbAevAXUB6aqwnF3+62fHf+XcyG2/FJbT75vl2lx6P6QUyDmfGSEEjmMCGsNMkJ3JU6pqIs7y61jWkVvvqoXTOnkM4im47T6was4bAYqychFCEkkWedfaynGxhrSYAa0xVADaAKFBKQwdEMRD5KZNuowc8aECWVedaYyGUJuJsypMXluM9vThRVNYM0VUtoTY3MovU1M06A4653I7jeIyTpVpmSIjUkil0EIyKxpoYoooJcJt75EcnSCfs8nF0uiWdpLYlFC86Fn0B1kKrkGx3Mt2y+P/sH/IN/P3kaFIoRDDP2KhSoBUZCfC7Ky08vXGMRqn02xuCTjmSU4eT7MmbpDZUqAQUmAEYE3T6QwQD4qsibxCuz2EVpq8iFGUYSQagwCpA5I6R0mEaBAzNMopwqJKSUcxwy5itowXDlG0wkREG1P2anw9TUCVJKtJmp/BFA49yZdpj3msa3Dpn5WMFiWmEQAGf2eDzwe6C+xo9TEk7FA+95dr0dC6QwE5T9Cfr+V5WhMPOOEZvDdmUg4gbICnoKKgy5lLPjw3eIYDyaCSjLmSsSYD6WsqLhSLAteFtoRmrFATiKKWYtIXuEJgOpqgMi8SQEDtbTp/Oj+1EpbUdpA9kLp2nBPXqBik44oNXQGD42e0qHv2WOzcbbG2zyc0t4Hf1gYnhyQ/e9Zm08aAROLid2RTKYEQ4Loa2z7zFBUKmpANyeSFn6yIqfEvYlfc1wJDgm3cmDvKl4MVzaLLOHj3XpNvfsehUBRoLXjjbcXnPlVh6+aLE5IM0yAcC2OYJpWKi+v6CCGwrCvvS3VNuM41SBMTEzz//PP8+Mc/5siRI/yn//SfWLNmDffffz/x+BkT6+9973v8yZ/8CbZts379eqampi5Y7u///u8DsGrVKhoaGshkMkse/81vfpPf+Z3fobOzk0cffZTOzk6Ghob49re/zU9+8hP+9E//9HR5Nwt1AemqsJxd/ht5EX0jt/1SWE6/b5Zrc6X6UXvxppsSvHmkyIZ2RfsFIj6tCNOEW++t/Z1DrnsVwSCkZrIMtPfys/ATBFqTV1GqWJQNh0hQpWLYSK3AV1THq9hNAbYDVviMcCQEbHkS1j1WZHawnzeaNhNOOYSOn0AlIph9EVp7XErMckDkaJ/TjvkEDFMTiBLk0HM2SxUcMqRp1FNEQz5DvasphQ10Q5xIKGCEHK/563jNi+ApQdjMMVXJ8kw+yXToLsZUMxXDJsgIZNkn2ZzDxKNYDlOachhtVqzunUQQx66GcUKaWCZGh5DkLEXgSGJa0cYUTXIUW5RREgIMYqpEoCQ5GSfQAgeXiCrgeRJpa2KigIkLOgoClGlgei6uMInQhha3kpfjuIRo0fdgUQuRbuo+AuMtOhNxuhIWGg+fMRx9H2HOXuxZEtZEz3zXbGiaQ2c0KzHLZ0fMY2fBItAgEGyO+NwWqx3TE/P4Sdak4JmcUmZ4YQi6BdlxweyoIGRoXB/QgmhIEbLnAkMEYIRB5eYqm8vJdJpTypFTwpMJ+BBOKVIafAeEBcmoJmxoKlXoaDzTl73vGoRD+rRwdIrODsWBQybHjhtsv20RLdIy9zDWrTPo65McOaLo65OEw4JCQdPfr9h+m8mqVRd+/jriCqUFgWLZQRoApkqSVcmAhHMTCEjXyd7Xi7+0CALBlk21MXTkqMEvX7XZurl80WVG4hHW3LKW4WNDHDk6hmlKOtrTxOMrNLmrc0n85V/+JV/+8pcpFAqnv/vd3/1dALq7uzlx4sTp7z/zmc/w0Y9+lG3btjE9PU17++IBgU7R1NTEz372M26//XbS6TQf+tCH+OlPf7rk8evXr+eZZ57hqaeeQs5zgPzDP/xD7r77br7yla/wa7/2a3R0dFxsd6876gIScN3MdHXqrJjr3wdpOUgpSSSjvHNkhr6CweZV86amRbqiNbw74LOt1zytDXi331/MaOc0m3tMzHmboNVVW9hz5E66jXd5J7YDIxzQaMwy7cUoBzYTkUaaSjOEVAUfk/ykJHpgkpZHDVRK0HSrJNOvCPyAVDus/QAIoUis85Chdpr8CgXHoPpAO1ZUIP0CcWCaKpW5Bb9AU8QCPJQS5IMkCoFAkXVTeKUQstpAJtFOdyLHPfYgw9rjzaCN3d46cjpCRYQpCA+/wSV3XLCz2ksyHBA1s2yIHmPrhn3EY3kkCtuukNNJcpFWCmYHY2aUUDFNbLyH2ZBgHZKnw5JfpGGPZxLXMwTKQDoKX5j4mEhdJaaKlHSIwLTwlYEtNKFKHteaC1KgNZoALxCoQBDHp4jNeq9M2o3QH95Gh9VAkjPmOw53o8jgM4iuGS1isRaHO84/eBYZH7aEz7ZU2RYLmPIkSUOxOeoTnbv/3QmXXEZQqAj6IgF5R+CENOUAdLsgNqlwKoKQDdsaPJIhzZ5Rk3gzeMOasikgCsIFXZ1rQxlwqIXyPhWMwZn7f6CnR5FGM16QmCFoSSv6Rw1WtQfct+mMwFMqCxx74UiWEtAa113iOsy/Bud5/EMhwac/5fC977kcOx7g+RByYMd2k49/3FpWMtNNTQEt0YDxoqQjvrzt8UBBxRfc0e4tbZ63Ivuza8D863qtjQc0KA2lkiASOTNeIhFNsXjpFTthh+71q5gamWDi5ATDI9Ok03FamhMXPvlG4jrVIA0PD/Pbv/3bpFIpvv71rzMyMsIrr7zCP//n/5xdu3bx4x//+Kzjt2zZsqLyY7EYTzzxxLKPf/TRRxf9fsOGDXzuc5/jz//8z3n11Vf59Kc/fcGyvv71r/OlL32Jbdu28eMf/5iWlpZlt+NqUheQgOt3Nq5T50LcGD5Iy0FKQVNznMHxPJt6zkxNSsMr7y4MCzxTUMzm9Vmf29sTLNX3V/cXapLVHK4VoT+6hTdVL9VQnDZzBIOAtCowO2SAFFSTjdiVCu6RPOKlYe791DTRPoPZKZuZnk7ko1U8GSVeydIQzmN2arI5jZVycEM2IusSFBWxiI9NgE0DJgI/VyA3OESDbiLZbrDXS6P9ZpSWgKDoRolnSmw7+TYPDu+niEWmYy0zt2ziu6kUE9qkLEzKIoLQGkP7KMtBtPhUjkieWPdTOmNHiYey5HNJKqaDEyoRsYq0iglanSNksm0cyN/NrBOwY5PHhzo62WwIOkzYsLbEj08WMPMaIxwgRS2wt0ATKIGBRgqN0ppAmkitEYGiUjCpRm1cZaLcgErFwAp8dDiE7Vd46vi36C6cwIq10Lnu7yLMM/dKkiKiP4nPAIoCkjgmvQgukD9qiaHuSE5rjM6lJCXtqYDZnOQ9z6AQElTigrwrwdFsWx/g9gsMYH0yQAWCzS0B2aQgUZFMZQV5R+A1CbwZIEtNQPIAm9qb9ZRpnQa7RbMqHRCUJJvTAev7AkYyEqXg1x+p0td2RoPU2xvQ32/QdU6bi8VaIIbmc3MbreCanKK9XfL3/77DwICiWNQkk4KenvMnM51PzNbc3u7zzBGbpgjYy7C+GswatMcDNjUFN+60dZ35IEkBa9cEvPRLm3BYg4bpGcGO7ZcnjLplm7R2txGORhg8OMDUVI5K2aWnu2kFnahzMbzyyit4nsfv//7v8/TTT/PVr34VKSU9PT309PTwsY997Fo38TTWXMhM07ywSPHv//2/5x/9o3/EI488wve+972zzASvN+oC0lWh7oN0c1L3QbqcnPJLUkh++o4/73tobUstOD7RuPBzTZu0eDttO3nONynWZHYwOfs2+akEXoPFGo4TuDaVhtX0vyZZ++YAzvQ4M+M+T/1GCbM9TMEwOZxei/Hl1XR99zCJXxawUrcQjJdIBrNMn5hgVeg4ux5sphgOY715AmetSXjDVso00Htoive+832mB0/iNDbS/uQTvLa2l0rOQFUEphkQqxRYVzpKMdzBbLOgJ/Mu7Ud/wUw2QcMHHmQitRalHLSWWMLFFAEosCMVHm58gQfFs4yORZiOpLAbPRrJ0qInKOsI0+FO1jk+7R3jdBafZSC4GxnfSUwcYaRiMOxGKWShtSiYne6gN9iP7FDI7ppaxCTAFRbBXFhwSYApfHKFBLlInBN2NzO5KIFv1sLpJSwmDZvb8wN0FE4wY9p0FCboLuchfvZNFDhYbFjRuLkYLEPS4Cja2z3Gqw64mkah0eGAUWmwKqa4p93FKwoMBevbAjwJzx516Frn8vZbJvuPGGR8iR+D6ZKsRalzqQlJISACjqOJtWq23OLzew9ViNqa53fbZIuCrkbFQ7e67Fh7thC341af3btrpnQ93QGWBfm8YGDQ4PYdHr29F++APx/TFKxde/F+JQ90u5zMSfaOW6xL+4SWWE1oDQNZiWVonl5XJX4zmNddApfbB+nJx1wqFTh4yAQB993t8fjDS6kZV440JMmmFBtu30j/vuNUvYADh4aRUtDX24Jl3+DLyHNNZK9UHUAulzvra8dxcBxn0VMaGmrBhGZmZq5o0y6VfD7Pt771LUKhEA888MB5j/3KV77Cn/zJn/CZz3yGr33ta9jLSJ5+LbnBR/aNQt0H6eak7oN0uZFS0tXVcEXKFmJhH7a2rGPfKwb9B/LMflCQSbUQpkrFjZOKNeAlPMbGBrntI3/LrY8PYLrgZn0681N0U6b96Q78+34Hz9lMPOpg73yRjtKLiPwAJ0JZymu6CEZdVKSLqnEHXTkB3/slxckMye4uBto62JNrQByO4oVBNPm4hkHOSDBW6SBtHeOl1ijbLIdQczPrho5z94HXKNwZYsxtoWBGUVrgY1INQtxlv8Ej6vuE9+ZJdFVojk9h6ADbqkUQs7WP9sO8InpJ2c1MmB6Bf4R7/dcYM2yKZgTXcjAjLtHWIgf89bw0uYV7x17nFrETq9PDEwZFoiAEQmiSIo/nGQxONDOxroVd3nYKTjOBMNC2RJoKR1U44kbZFWmhrziEHeuhENYk8DC5cALhy83GligtuQr7/QixkGZ9tLZCyniCMAH3pTx+t7Fy1jmjOck7wxZVKbj3Pp+mZsWruyzGyhKrqebDhAJiIHug0Vd0NwekmzS/fmeFD9/tIgSs7Q4Yz0hiYc26rjNhxk/R1qV45CMerz5vcfSYgdIQDsGdd7jc/pDPjw7bxB3N3V0eIQuCAA4NGxQrgnRcs6b98ghQFyJqw2c3VbEk7B43MQW0x9RpAcgLYKIkyVQkLZGAj6132dJ8ddp2VbhO9r4SCc2vfbZKJlMTihob9YIcWZeKEBCKhNh052Z8L2DoyAmy01mOHh+no70BIQSJRPjyVnoT0t3dfdbnf/pP/yl/9Ed/tOix9957L6tWreLf/bt/RxAEBMH1+ez8w3/4DxkfH+ef/bN/RmNj46LHBEHAb//2b/MXf/EX/M7v/A7/8T/+x7P8mK5X6gIScN3MdHXqrJibwwfpWhGJmnzk8VVYPxjn4P+ooDdHsZskiWkLf6/Loaxk48a1PPxoFK2iKOETDkp0SIdZ/SSD3q+S7Oyis2lusu/8Ao1PfJK4XabTnGJY+YwmJXYiTZuOkpia5t2JDKnebqqVKoc6++gPenGVj9kN0nDpsw/R1XmSyPoqIa+Mqy1mClHEUJSD4Q3IkqJy2GH95BE2mvtpio+TDI0hLZ8NTSfx0wb55gZijS5KQUa3EFYuIao4wqVom7wheslUUyTFFB8OfkbRiJAzElj4SK1whQMGtIpJ/qbjMwxF2jGGfdZ1HMI1LQwRkBAFTO1T9S0OnOzgWGQTL3lPMOR2o6SJEiZIjefZGFozrML8f2KfoqdxFHQDd8/O8FByjFus9SSY92K9CllAHQmPRYsMl0Mc8AQEtftnU0s42ykD3u03cX1Y3RaQjmvaE4rH1rk8c8AhqwXhtdDSoSjOCoKiwnE1cakphiRRNH06IJnUdHf7RPqK/HRojKa4oKc5wo7m1ILcVQCznuCvhkKcDEnaf0XxmFvBUtCYVqRbFP/651H2HjYJXPjgVpffeLjCz/fYvH7IwgsgbMOHbq/y8Fbvqjz+yZDm81sq3NpqsnPM5EjG5MTcJrkhoTWqeKC7yrYWn9bY3Db9+WzM6j5IF9UWw4Dm5qujmTMtg54Nq8iMT6MCzdDACEJAuhSjbRFN/3XPVfRBOnnyJInEGR+upbRHUPMReuaZZ/it3/ot/vRP/xSobfK9/vrrfPzjH+cf/+N/fM19d77yla/w9a9/nQ996EN85StfWfK4T37yk/zt3/7teQXC65G6gARc+dn4Zl7EXg4zwZvhOizFle7bjWrMf/3Q0ubwsc+2s+lggf178uQOeAihaGwPs+VDSXrXhsjL/xOr8gMcYwxPd1Gx7qIcdOP5FtmMy9GR6rwSnbm/FMmo4PG+M4Ek8k4Jw7bxiiV802Kf1UbFt9DpgPtmf8mt6TexUhASc+UZmpyK8o64g8yGRoKSQffhk9z9s1fZOHGA5MN5TvT0MJ5uIZSo4Bia2UiSUC6HqTRZP4VvOZQNiY/JjEixW24jUJDzo/RaxwkLl3HZSogKIVWlKKJIrXGlQ6ANHMflaNN6fl56nHLFIpnIY6kq2tVMl5Icz3RwOLeOt6KPcXhmK54w8Q0L0/SRArQX4IZsysfC6GmT/q2atfIwM7Mj7J+dJJf9KY3jHUhtkuzppGXrJpKruhfV+C3KRQ71jY7LlyM5IiWD3a5FVCpSJmywfUZ2Sl48aqMD6GlVfPGxMi0pzYN9Humw5rlBi+9PO1QN2NHpYQKHT5pYs5rWUkBPq49sE0zEA/YYZb414hMLGdymDrChEuJOcz1PNDYt0B7tz5vszxv0hBWHywZ3dvlsT3tMlgV/9oswf/Ndh2AGqiXofz3MezsNRAOs7VIkIpqxGcnze2w2d/u0pPSZ2edipqFlnuOYsL3N57ZWn+G8JFcVKF37vjMeEDlXQXi+Mq+SQLHSc06fehl8kC4b55Y/Pw/XFd5gkIakqaMZrTWRRIRj7x4lM1OgrTVVf/Wch0QicZaAdCG2bt3K66+/zuHDh/mzP/szfvKTn6C15l/9q3/F1772NXbu3HnNhKQ//uM/5k/+5E949NFH+c53voNhLG2u+/LLLxMOh3nqqaeuYgsvnbqAdFW4mRexl8NM8Ga4DktxM/ft5iGetLj97gZu2ZGkUgpACKIxY57TeiP54Evk51k5SAMcA3AMwtHFzUtc1+e1AyVu7ZNIAbG2FtrvuI3+X7yMqyG3uoyKGtzjvcSvzv4nhtZtY1akmKGBMmEypDjkbqCo4/jaJD0+xY6fvUNHdoTiF6I8v+EJhkU3ZcJ8TH+fCmFwTKxGia9MfG0jDI0WkkCYZGhglgbcqknFjhAIiURRErW8Rj5VBBqBBi3QQiC0AqE51LqBWDCLxqAiHaqGRcZLcVSsZcDezEy2AS1ETTYMCbyChS6YhOJFWnMTbJ/dyerB43zg2efZOPoOY8JnbNYnpzSqqYdI32NMHT7GiVffpvehe1nzxMOIFZph+L4im3WJRk1CSznFzKPXCfjnySK7qxaDniQpNMNDkv95MkQkqVnnBBwbNtg/aNKS8hACtnX4FBx447BF2NOMTUlO7DKYGBC4RQGOZtcaE1MHNMZnkJ6LWzAZCFaTb4yTTfdzMpfHKbbx0Kqz/Y9CUmOKmqlfzhX8aNjiv78V4vUZyehLBsUhiZIgPUGxoPn+cw5t6xS39FWoVqEhphgYNyhUJC0ECGB6WnDwoEG5DO3tmg0bApbhS73iqUsI6Epc6a34lXHW2v9ipmJx8acu3ohLOOZCLFeztcR5F9MEIQTRRIwtd29l3+vvceDQMGv6WjHmwoUaywz6Uef8rF+/nrvuuotSqcRf/uVf8i//5b/kD//wD/nX//pf82/+zb+56u354z/+Y/7oj/6Ihx9+mB/84AeEw+c3r3zuued4/PHH+eAHP8hPf/pT7rnnnqvU0kujLiDVqVOnzhyWJbGSK7WNFgs0AadwHAspY7x2qIRjweoWiNz1CA1BmITKcVuzwxFh8NT01xBxjxHZgUaQJUVWJzleXk1Bx6kGDr4y2bpzH8nMLN59Js+t+RDHKuuIW1k6nBFaxQROUKVBzmKYPr5SGEohUTXBRWkQGi2gGjhUpcO0biJAYmu3JvQIGwsPjaAqbEqEUZj42qRiOYzarZRUnCAwMYTiWGkNJ/O9TOeaEXZtcaxmJMq3ULYBpiYtM6yZPkK7eRJ3q+LFW+7nwC9ShP7rjykWfJSEUHyA9vxLNH/iV3FnChz46c8IRQO67rkXzNiy7kI2W+Vb3z7OQH+eZNLik59cQ1/fvN1arcAbgiAHaKQfgF5DSMI9YY/bHdg5Y/KtKQcXgaXhXd+k0dRn3d+XZiz+xYEI786adOsAcVIw0y/ITUvcGGAKCIFd9mHKplpM4dsmgRQEY628MREjkZMc8aP8n14RvyARAu5e57Et4fNki8sr0xZeINh1xOJYWXOiLHCzGr8ZKIpaeIwKeHnB8SMG/+OvHZoTGl8KbrnFo2HOnO34ccnffMNmdFQCGsuEu+/x+cTHPazzuH6VSnDwoGRyUmDbsHatort7eSZcs7OKSkXT1CQxzWu7QL6itS9XorhBXFUventTgDQMUk0pZqdmOXJsjFV9bUAtGMp1z3Ua5nsphBB8+ctf5g//8A/Zv3//5St4mfzRH/0Rf/zHf8xDDz3ED3/4QyKRyAXP2b59O8899xyPPfYYTz755A0jJNUFpAXc6OZeN3r7Lwc3+zW42fu3Uq7v62FZBs3NcZRS9E+5gI285QmUVeVxKTkye4RUcQI5VsQqewQFE23DhJ+mZEcJDAMhNVbOZ+3Ro1Qck/FN7RwaWYc1WaSxa5SG3gwuJpoYcZ0nJTK4IkSRKBUiKA2etIhSJM00eSK42mZQdjMWtNKhx5jVCTJGClP5mCLA1B4jop2KdpBCI1C4nkOAw6xOUslJgtEyYrqKzgRU8/FaaGvmhLFGSPZMcGt6F/FVswwGvZSrYaQPheePcK8R0BfVZCowmnP4yWgve0e3UursJhkZYuueAf5D038j2bwV3fAAQp6dpFKhKAc+Zd/ElgavvzHBrl2TrFoVZ3i4yDM/HOD3fncbQvtQfAvKe8AfpbZaETgVj0B18arawmt+B4eKcU5OJxl1TcJxSXZaUjWgtzFga29N03OiLPm/9kXYM2lSMjRHbU1TySc/E8LV1HIg+YAEZQqK5RjC0mgbJJrqrEWQSVAaMZiYMPjcj5K0RxU7tvpM5QSff6DKh1pdZquiFko8b5DoDAhPuJS8KEQEFEBlwI8LDE/jTgvGHQPLCvj/s/efUZIk930u/ESkqSxfXV3tzUyP9zuz3gFrsQtgYQkCdAAB8kqECFKURFL3kJREibxXEqh79FKgdC8oUpQAGoEECMIDC2BhdgGsN+O96Wnvy5t0Ee+H6nE7fnb81nNOnZmuyoyMjMiMjF/+TYQeyBJELY1S8NRTFjMzknXrQqSESgWef95k7RrFxo1nDvqemhJ8/gsmhw41J7dKNRMBPPRQyCMPh6e5mnmexjSbafp//OMG3/u+h9vQrFxp8oEPREkmJZ7XXLP5HF44x+/icjmkWFSk05Jk8hKy7J00HASBRmuwrCswPpyhyFNGoss9LF2vw5xu9v3A6kEKcwUEkIiYoKERKKre9Zlc4Hpn586dpNPp0xI7ADz99NMA9PX1XdU6/dt/+2/5wz/8Q97ylrdcsDg6xubNm/n+97/PI488wmOPPcaTTz7JvffeewVr+8ZpCaTTuBIj0NWMQbraI+j1GIN0PT1FboY+vt65Xtrj3H0tpSSVak7ytdbUGgZ6sswTue0EIkLH7AwPfuH7vLDhfsYSOfLZHBKN0hKlBYanset1zFqV/dzHwt9bxKYkM51xrI8GyMGQbjlFQziUGikSYZ0cc9TsGDqMYgiftKxyq3qNeiTBiOvjRS2+aj3BB/1/IKvzaC1QQqKVYFT1scPehI+NBjr37SHzvd2M37KZoR99h9ieUeqBzdY1P01b73LGEhuYr/UAEiIQb1vgrvU/wk9J5kQ7obBwYxFUSdH3/B7ag4CRCpSMGJ/72J+x6473YqYV0UyDkuynINbxu/Wv8ztH/wfG4a0csN/GuIpAj0HMOYIW48wRpeR24dWXMzXiUwwMUqkI1ZrPVCnPvtIzmLWnSZZ3kXMrGEYKooNop4eDUZ/P6gFeHu6hWEli41Lxysx7NtHcLL6TQvspkssVZqKZrvpLRyO8MGPhiwCsgJJrUi6aBOVF10JN86mah2CphekF2JaPjmg8YaJcE29aoBYgNqcpT0sai9aqTSe525V9gaEFQSiIaWhbWSPf4aBK8vhlFkqQSmMFgttW+ty6MUAKTSFvMLcgiUU0o2OC3l7FMU+nRAKCQDA2Ls8okJSCr37N5OAhyaoVCtNqLlA7MyP48pdN9u2DSkURj8OtWzSVaoUXX2zQ2WFw330xvv1tF2kIIo7JF79k8OR3THwvgutK+noV73p3wJbNIQMDp79SF8Du3Q2+8tUShUJIW8bgve9NsXatc9q252TxXPP5kL/5myJBqPmFn0/TkTPfeAzShR36DH9cBi7UTe8sC2tv22awc5dESrhlk2L9+vDU/S4RDehQcXD7gdPq65iSyPVuRbpOLUgvv/wyv/Irv8ITTzzB/fffz759+9i7dy+/8iu/wl/+5V8SjUb5p//0nx7ffu/evXzyk58EoF6vH//uYx/7GAC5XO40d7zf/u3fZm5uDoAdO3Yc/y6RaFrtf+d3foc1a9YA8JnPfIY//MM/xDRN7rzzzuOJI07mwQcf5MEHHzzrOd1yyy3HRdLb3/72614ktQTSVaEVg3ThZdxs3Mzn1uJULryvhRBEoxaDg1m6YyFz2yL07SlzcINmTtiUwiyEAq0kUisCaVCNRZlvy9JfLlGbj6DzIZneEuXJOGq+gF4qiYk646obyiZp9zCyXZMz52mETtMyREg0qPM+9fesk9v5ZvUJZuOd/Jn9y9ymttEXjGEYmv1yGWPmIL42cYIa6wuvcs9ff5biZ2dZW/4CgQqpRA1U1uBW5wB75x9kPL0O1d2GWBbhyPKlWH1VEqkaATY14kgNtvTRwiPqNZh3oerD0w9/nL1vfR+dy+boHJqmMzLF9Ewfhgopdmf4X+Zt3Db7MmN7R/nznl+hUbOJhn302Tb3GdvoSkxSjE7hrmxj7wsGs98dpSs6yp2PTZKvLLBgxank1pALApbUKoS6yIio86dzP8uu0XWERYOaH6EROigtCaVBNRLHjjWIZGb5SiXJ0z9I4c8IJoRBRQhkRCJcSfg9CVMSQqAGpGk+VYtAXRLYJjqQmEKhIgLKArG4RI3QkI5r6lUolQVr+04IltXJkG0LJk5M0zhqko5adDy6QOlHMbxqlHDexJgGQwhSGcXaoYCOtGY+L7AsjW1pIhGNbUOjAemTlgDTGpyzrEU0MiLYtdPADwRPP2MRhIKOXEhXV8iOHYIDByR3360oFGD7dkWpVGPFCti63ce2DSpVjeM4vPaaw+49FlIaoA1cV7B9h2DfIYPbbw/58M96bNlyqkCrVEK++tUS+XxIf7/F2JjPV75aYnDQJh6/+En21FTAocM+SmkmJwM6Oi5hunOTxCC9+qrB579gE4RNT9NduzQ//3M0RdIlxiBprfEaHkopDm7dj2lKIhGTZUNdp9TJNFrPwEvhPe95D7Vaja985Sv8yZ/8CZOTk4RhyPj4OE888QR/8Ad/wIYNG45vPzU1xWc/+9lTypienj7+3ZIlS04TSH//93/P0aNHT/nui1/84vH/f+xjHzsukIaHhwEIgoD//J//81nrfS6BBLBp06ZT3O2+9a1vcf/9959zn2tFSyC1aNGixTWhGbskMRiqgkmC6VQ37Ufm2bU5QWia+J6NHfVQGHiW5qUt9zI4Nk6XO0N07RDeYZOOtQWWrzoKQlDUKYSGcjkFhmAuaKes0gSexWDhEF3RWVKJMhYet1pbeZvxFHvdNexQa5izOpmciRKbmKY3tZP+1D7YucCtX/sWKzYUKHcZlL0ydVeRNSFaClB2QOnrk2Qbn0M67UQ7EzibEhR+/9eIxh0iYZ15kljSIy5qRPDxo4KZ/g4SrxygYUZ49dGPMLByjL4lR1iT3E3Ur9OZmmTW7KFgpdkuNzGR7uXulc/xgZ1f5P9d9Zss5E0KqQ5m0zk21rZj13zcXJ32tzlUZxKYQw5zy3v4UdhGRySPZ/hsjQ8i05qlappv7H+QV3bfig6gLJK4OkqoJdoUKANkoKnPOVjzPsKCsTkT5Qno0FDVENWYCz7htNWcVeaAcWAa6KApmMaAHkkYEeiaQLgQMzQy3lxL1ooq4kdABIKk0kwOS9wNEInAHVmfsZrkmYZg7oCBuSPJXesmqf6TSRqHEoT/MEB7IFg5GNCWVcwVDHbtb1p7Hr7Xo6O9GTe1ZUvId75jIiVEo5qJCUlHh2LNmtOtR4Wy4HNfjfCt70VwIoJcVuHYmsOHTbZuMygUAjZsgGNePVLC/v2StrYAwxR0dEiQJt/6doRyyUIpwZJBzfwCdHRqRucN9s8KqtsMKnXBv+mo099/QqiVy4piSdHba+E4kp4ei9mZgHI5vCSBtHy5zdsfj6OUZtWqK7Ag5Q0Ug/TKqwYaWL2qacrYs0eyfYc8YUW6yCoopchP5xk7OIoQkE7H6OvNXt5KXy2uUwtSNpvlE5/4BJ/4xCeApgXnhz/8IZ/5zGfOuP2DDz6I1heX6v2Y6LkQ/t2/+3cXnaL7hz/84Rm/37RpE7OzsxdV1rWgJZBO43p19L1QbvT6Xw5u9ja42c/vYrmx28MsxUm5dcI1G4jJJO1zFfLpLAioV6LYUZeIcFFSsGfTep6bnGDtMzs4+I9XYTUC1mTGcKIeLhFGGaBPjDPp91NVMUBS8WPUZiQDhTqNmEXWCjGiCgNFrzlJtznNPXM/xttXoXAUZncGpNZHCKc9Jv9ngXX3Qe1ojOgyk+wayfxLinIISQVqDsqqqQdi7jymN09xPoH+jToJESDna7S1W8RFnQADpQ0SkYD5n7uD1A92UqtZ9K+u8K+mf4tbdr+AYUPDNHgtu4Hnlj7EEXM1VSdGkOzlycTbedj7HvGjRaazgxSPJFmwOnBWV1ghj3AgWEVucIEXZh/gQN7nbvtZuqLTDBsByg4xpKJNz/PayEq27b0VH5OKTOF6dtO10BKgJfgCJTVKaYK6BTO6aSWaB5SAJaCUiTsfhUCCDUzq5icimzFI7cAE0A24AuUZYILvKXJZTTUucV1JUNLYFehpU7y23WLdspC7t/hETfjZJS73d/jMrm1mx5tOhIy2hQysbvCudxQxF6/5hgtbd1tUqoJsRnHL2uB4UolHH/EJQ9i61WBuTjA4qHjboz49PadOpBoN+E//X4wvfM5m7KiBtDTzC5JcVmFbikMHoFI1yeddqpWAxx4zGBgw6O9P0ddXZdMmk67eFIdHHebLBg1X0NMR0turcF0olUFEmv5flYpmzyHBa68Z9PefcCtMpQ2yWYPRUZ++PpOxsYCeHpNU6iLjkBaHA9sWPP74hSX4uCRuoBgkrQQnJ5STsmlJuhTCIGTi8DgL0/NIKenuytDWFr+0wlq0uI5pCaTTuHEnWk1u9PpfDm72NrjZz+9iubHbQ/qDSCVQcYslc3nm3TZcwyYuK+T9Dmq1OE68Tsyqo4wGL7z7bib39dLzygjjK5czbfdgaZ8EFeZFljQF+tvHODIyRCpVJnZolPiueXxznpmhLrxpm662WZxEAyVsKjM2xp55/HxAol0SbrZxp3zyT1XoHoIlK+DgZIBqQOdGSfFV0F7ToyymIAaUATsFTgqMRpXVE6/QOy2RCZNQRrEJKOkEoyzBJQJvWcrRDz5A91ee41OVf8q62e28kt7CF9f9DM8N3EfZSqEMgW0ExGSZpKyTFDY/WPYgHJJ4wkHnJKXZKPtH1rKk7zBFM0l2aIHoXIOpXX08tf0Rtmx+jS5zjhXBXua8FJO1AV7ZeycNEaMm4k1xFAqUK2FBgL94LUkBhmiqv1eNpsucCSyhmYiiAdSN5v9nNBxSEJWQB/qAw8BSYN/i9jkgDX5KUtCQjijCKtjtmpQL9270mZw2aLjgh7Bj2kRp2NAZMBhv7u8TYxKDNm0dF0cATgTu3uIThhrjde5MjgPvfY/PQw/61OuC9nZ9WopvreHzX4zw1S9FmJqSBEKgPcFcsZngoLggqDcUKCiX4IUXNJVKwEMPWQwOOvzyL9mYluC//neHhQWTgT7N1Iwk0JJyzWdoKKRSEUxXfEbHQ6bzAUZO8T//F9x6q6avr1nneEzy/vel+MpXSszPh/T1mbzvvSlisYu0Hl3D4eCaxiCdg82bAw4ctDl0SKIUWJZmw4aLU0jHjBNhGLIwvYBhGCxd0oHjnCMd4o3AdWpBanHtaQmkFleAc73quhxJHa4l10siimvFm+H8zxTtfOXqr+xVBPEBzOowfTWbiTmfmK4Rt2rYok69kiAIDMxIgBQKpSV7lm1g/5LVyHJItBGyrm0/KWo0iDOpuzAjCrstQJY8spMTlOwYedlG946DGLemqcVsGoEBlQCzXEakJYYTISyHOG6Dzo46Aw+GdKeBGYFEoxuaXFYwn4a4AXNTzed+Zzvc+kEY2AzCFryyK4PxF9+CT7rYGYPke7vxfmoNqr+TZWIfR1nOVKab4v/5C2xwj7Dq4A4+1/tO/vTx38OPOPjSxtURvLpDWRnkRTvRaIluZ5bANrGWgDsVg1SAyAimqgPk3TbK+TSJoRKr79tGuS9GdUeKA9WVDKRHqPkJUqUGzxy+m/lijiAuaTQcdCjRdQ152RQ9xwwakqYC3L0oetqBKE2hk1+8HAAqNF3p4hICARYwAySBNprKMUvTp24/YEC9F+I9sC4T0NWu2R8YbD9qcNeqgA2rAp46aPPtg02r1r1LPH5mY3PRYAvJIGdeb+TQIY/xCZ/16yK0t5/+WE+lmpnozsTRo5KvfC3C7AK4LphRTSAEviOYsg3IqKYI1AqlBX4g2LETikXJP/lVTU8PbN/ZTAyRTipKZUHE0iAE1bqkPaOwLI1X8LCDkHjMoKtdMzWt+YcvKX71n5xIB75iRYRf+7V2ymVFMilxnHOLo/PelTfSsHMFueOOECE8tm4zMCTcemt4epKOs7SVUhrf9fBcj+FdhwGIRm2GlnQgWuscXTU+9rGPHU+40OLq0BJILa4A5xo0L0dSh2vJpU6Yb8RzPROXmAbqhjr/M0U7X7n6CzNCY/CnSb/y30jpeZbMF+gpjFPtTtIWXWBBSNxGlJjKEzEaeNrG9218okSjHr3tgnYjyzKydCifibqJGZlkJNKFsdDJKmuGrkwBNxIn6gcYr47hexJr3kXFBbrdQBVdqhMQLvgsfyt0LNMIA1ReUC8JfF8jlMavadI+dPdD0GiugbLsrZDogPFvws4xk9nt+RNCA6i8VqZzT5Hc725mfnCQiKhTUzHqyQy9D7Tx1Z88zB92/FeC/x5HmRLVIxGrPCKdPnU/RkPEKFtpaukkK7L7sTvrcBRYsNAZH21b7Kzcii9NXM8m25jmnR2fZ+rOJVgRxZLEUSJhna/MfIAD+1eTaiuiMdChgVagiwJKNOtcBlyaomaUpkjK0HxSttO0JE3SFFBq8e8SUBfN7yyaAqp/cXsNbKPpg9hNUzQNw9zLkpdsm+VLA0QKXCcgv7zItqjLS4UMpqGJGJojeQPd1BrUPJipSBK2Jpc4VeykUpJSyTivtWV0VLJjh8n4hCSd1gwtDfjyV0xefM0gdEEhUAJkGszcsW6UTXF4NARCgkAQhmBamo3rm3UzTY1lNeOnVKF5rDBsGuJcFw4dgslJhRMVZJIaw5AM9CvGxjSTk3ByJmPHOb8wOicnD8030rBzJi6TwJMS7rwz5M47z5Fy+wzHCfyQhak5JocnkVKQTEYxpKCnp+2NV+p6oWVBanEWWgLpNG70V043ev0vB1ejDa5lG99IfXw16nkjtceZqS17K0ZxnvjBb7C2/iwP7XyG73a+jVisTuDlaaQb2J6PEYKhNcLQxJ0yS1J5OqMJNuvNbK7b2D/8NnNjO8gnfKYeDimvsVH1Iea+vJuip3ix73G80GRo50v0lMdI2HV0UMerh0TboO92STSlqe8R2A1ojMLhQ5rD0wq9w0fNhKQDKM6BNKBvOWjhMNzRz3Cfy+zXRk9YVxbxSjDzhRm6bx0h+ks52uU8XsUiZ8zyreGf4vPyYzR2J5qxPAiY0sQPlnjonU9yz5bneK14Oz8pPMCRmSWMaI+c0VwIN/QtKJkI22MyWEp3dIThA0O4KsodvT/m7X3fpBC2M17vZ8/ujWwb34IoQSTeQNB0H9MBUJUnxJG3+Dl2DgYQP+nvqcXf/cV/52i65SU05HTTijQlmgJLAq8sltG7WP6+xf1MqEfgYKdB/wNV6isnebEeMD0TkOgNmSq106ci3NbbjCeaLkv+9tUIYwWDRETxznUedwyeUKEdHeZ5s7Rt3WrypS9HyOcF8YSmXhd85jMW03PNZatybYqaJ/E16LjAMMEoQ4iGjIR5RUw1SGegXjO560645ZbmzG9oScjaVSHjYxYND7xAYhiaTCpEiKaIQkAYQDqtUaGgr++k37i0u/h6u+svewzSyftfxWHOrbvMTcwSeAGFuQKmKenqzJDJXPi6Ny1a3Oi0BNJpXG9D7sVyo9f/cnCzt8HNfn4Xy03QHoZJ+dYP4PZvId72DR7e/TSH1q7kYLsEExztEsYhYvgIHLqNGu2ROncZUX5Rd7IOB/Y+BzuPImJL6R6dYe3zS5nsWc/hr/4EuXWYcOsrPLZsN91DUbT2KQZ16otpejuHoGcdOEmFf1gwfUQxfRCqozBfBt/QKB9EHuIOLFQhsMCdg4bbwMoeoTcSQd5nM/WShzkYwXy4D3NJFCbqBD+cpPC1Sdo/WECm2wlw2HdwiMOzj6N6k+DQ/FiAKahWMnzp6Z+G5SG3Z7eyJfYKT008yu7hdXg5gThmYPAE0lYoKenKzLGC/cRFjc7INEFoUwscdg1vYnRyEBoSHQoq+RSZjjxShihtNsVOjKaFpwAsLP69gqY1yKA5OS3TtCiFi5+A5r6OxrjHR4egxu3mOaSAowqj0ye0TIyqJhYt47ZF8SyzKQYjBu6Cx/g3PEbm+6BmYacUj779INnul4lKizUdEs0afnQowsE5g1UdIVMlybf32qzrCohHLuzyKpUE3/ymjefDhg1NK8LcPGzdKtHKQEpQQmNaGqnARRD6TQuQUgIMSOcC+hxJPC7JtDn8+q8rMplm+bEY/OwHGsRjiq99w4LDGkKF24BoGnr7oFaXhGFAtSoZHAhpNDTr1wt6e5tlXLa7uBWDdNGU82UmhyeO/61ChVt3F9N2dyKlIBK5wWONzkbLgtTiLLQEUosrQCsG6fLtd73xZjj/qxuDdBwp8bpX4HX/M6ILP8u75r7Gd81JjiY9KjJOPYwgiZC2Q7osk8dlBx8kQeLYMO65KKVQiQxRNNVDsxx8/hnMqEPXbbcx+uIO9u6oc/RAHa0VlarCNKG9Bxwb5kKDWMZgYVyx//mAar5ZrLKa7lKOBVkNWjS3ny3BvAFtv2BT/kFIMFUj1elQ/L07mFqxHK8zg5kxcXKSyIfniD+7D8KQad1FKlJg12urUUuTkKC5yOqx+ZcAMhDaUf7+tQ9SfDDFPZGXeE/v1+jeN0X81To7K3l+1P5WQkwEAsMKKckkU5FuNsW2Y8iQmp9krthNeSHJwnS8eRwFftQgCA3sqEvgmk0XutU0Y4kcmvFD2cUuP/bCXAF1mgJJ0Xxy6ubHeMLHMBTe1KLwWQVUIL6sjB9GMGnQf98YRtLn6DeWIU2FKpvNda5qFvXJbNOqBHjj8LXJ1eTW5rh141E292ynM62oerfjmBAxIeVoKp7ADQTxs6xn9HoOHjSYnjVYs/qE1alSFhgGpFOKWihp+BJsga6BLCt0TGCkQCJwtOb97xDkYnGmZwzWrROsXFE/5RhtGc0v/pzL+55w+e5TJt/8psmevZLJCYkd0SxbZmPbmkgkYPlyxfp18M53SuQbiGNpxSC9ccJA0ag1cGsNTLOZMTDqWCxf0szn3oozavFm5boTSJ/+9Kf59Kc/fTw/+/r16/n93/993vGOd5y27cc//nH+7M/+jD/+4z/mn//zf351K9riHLRikM6+341OKwbpaqCyXSzN/iPeI+c4JPLsN+PUcaiWfO5KSW6pmdzfbjVrpaFRryNyfehYivjMKDgOk56F8l2Sy5ZQnpjCiCVQ5RAvUAghMQyfRl1TqUSYm4oxM6kZvCXD+KEykjKm7eNrSbxXUh3x8RagZICsN4+pNeghWPi0RyoGfo/Dzl95K1PrV2F4LolDk4gdVXo3aRJrI8z+9CpmMnGeevYRxvcPUV7INWN1juUd0Cd9AppPJyfKU4efYLanm4+n/ox163ZxMLKCd//gK8SDGt/ofheGUkitiFguyxOHyBlzTDe6qHhJRopDKFOg2xwoC0gqzFhALYxiOgozGhCsspp1cBe7uZOmUALoVLAgT1iN6ovbWDQtSzmNebtH+KrZ9BVLAEkw++tYHT5exaJz2Qzdd4+Sn2xH2RKVN8FaTOhQkE0rlLlYnoKwZjIzkuNwZwUfD18cYn33ZnZNmeyaasYk3b3EJxO98DVPGg2BQGOclDHbMJr3pmXC0EBIviLRJUHJFhg1MIoapx3acyHLciFtUZNQm2zaqHjvu1wc58zHSqXgAz8V8OADIUeOCIaHJZYFHR2wZIkikYAwlLS1gRBX4L66gjFISim8unt5C73GlBZKTA5Pkko6DAzkml++mYRly4LU4ixcdwKpv7+fT37yk6xYsQKAz372s7z3ve/ltddeY/369ce3+/KXv8wLL7xA7zH7/GXjRh8ZbvT6Xw5aMUjXD60YpDdCl8rR5eW4w9P4aOpVF6vaPNcdpQYAG4dMSvMFEp29RD/0y4jZSWqez+g/fI94dycAhmXhtLcjLQtVK6GDgHhbnGC2hOdqAqWxbIvGfEhQDUkt7YCqwpEK07Yp1CcJvACXZvZr0oAD5e0wmG0+/0fetYbCpqXkJo9i/fAIuXyBtR9z6HVKqAmDajLK3sYKSl/tohzraIqQMZrJDJJABIRSxMwqRsonFAa1+QTat9hhb+E76lEesp7hNu81+ocmWTI6xnijl93xtSgh8BMWoSMJhIWpA1RRUvQzlK0E2pdQBLPPx3BClG8SZEIIfYhZTUEWA6qcED8a2AQ8S1PE1Dl1oiNBLFUYnSGhtWhSigIJTSTiYkRDjKUBmSXzRLN1dGIBGdXNJA8R0RRkx+baxoky8UDPC8JayLw9zrbh1ZTHJOmaIjBh41DI2ze6yIvIY5DNKgyjud7RMWETj0OhJJiclixfrxha4tNeURyeNVmoCLq7NGvXhNx3q8/7HnZRHgSBoK8nxDlzMr1TaG/XtLdrbr/99bPDM9+rN0IMUhiElAsl4qkruL7SVeaMi4venMNpixYXxXUnkN797nef8ve///f/nk9/+tM8//zzxwXS+Pg4v/7rv863v/1tnnjiictcgxt9ZLjR6385uNnb4GY/v4vl5m8PC4GFIJY6MTN1vebw/cyOMoGXxsybQI571/Xgjo0SeD6JaHM2bCViJPt68ZJJzMhSpPaRfpXAO0rgeljSpmMwgm9KvEQEojbCMEn0LKF+pADGAtrQqDBEA1UfRAO6k2AYUE9FKN/Zh+G6yO8cof21UQY/uYR+OcWragtHwmUsmz5Cjjwf+2d/xn/4l/8XtEvYAERBENLdNUFv/wipdIFAGVR1nFI9zexwD8X5DC/Zd3N/9jn+q/wNHun4Lr+7/5P8P8P/jE/qf83LPVsIpAQNBZJ0BvPgCfJ+FrcSbyZSqIJRCTEGPdR0FNP2MUNFKKPoY2sVLYimGLJpipWogNtD2Gk0BdKigMGjKagMEHZTKDFFU/C0QVgysc0ijXaL9uw8phMQj1Zo2zTL1ETfCUvZ2QzSPiRlgSPjaf78x3dTWWIw1BHQtdWiOmyyOhWwbkXYzBA3YpDNaLo7zv6aevnykJUrQnbtMUjEFfsPGjy302C2LlCeYm7YYM+8ZEkkYE0uZP3bFG97NKCjXbN8IMR+XfjJmebUl4PLVuwVqh+ANCSx5M2zMKpb9651Fa4tmitv4bmC12OLK8d1J5BOJgxDvvCFL1CtVrnnnnuApon7Ix/5CP/yX/7LUyxK58J1XVz3hFm8VCpdkfqeys37VvvqciO044XW8UY4l3NxLc9T4/sKyzLOv+kFlne2OoahQqnTn2iGIZAX89r+CmPbzeHbas+c8v33t5dwZySGNglcH8O20aZDPbuU8txedEMhhAk6jVy2BdNrUOnpJ8h24pXnKZe3IYM4qdWbYOkGAnkUe7yAnpkkaDQQOmymAHebcUlo8JfGqWRysHsedbhKx50xnDbJdKGbF7kbbTQXd+3Nj9HXO4b5fo/gWRuelzirq6x4cB+DG45AVBMKE6E0Ea+BE1jk+mcIZwXFSpZ8No09WOV7PIAVzLNZ7eK37H9P1XOYqveBLYk0PLKlItucDdTqcbQBQig0AjUriS51QQr8vEVgGBh2QCANSAvoopmF7lhMVCggYcAWDRPNZAWM0bQ0pUAXJeGCxFrroSYMwgMCapJGdxSvaJHoLVFNxsmIPHUzyqoHduPui5KfaQNlNi1ODZrue8bivwqIQslO8cWnfoZJvxuz4TL9VUlqm084A9//iuB3fr1CwbN4eWeM9raQD78nT2f27GmcH3qLwcJsmr/+uwyHjpqEnRKjA6KREN+DshaMaMmaWJX3PbzA0GKWvMrC5bxqb3A0GOblGoOuPWEQ4nv+ta5GixbXJdelQNqxYwf33HMPjUaDRCLBl770JdatWwfAH/3RH2GaJr/xG79xweX9x//4H/mDP/iDK1Xds3AjT4SvJ26EdrzQOt4I53Iuru55aq2p1TzicZtKxWNurkJHR4L4habuOidnr2Ol4lIuN0jHIGo3v8tXNMK0SacdLMvE8wJ8vzkZNU2DSOTaDaWvj+Po7k6jO5Psem6A+uEjZJYNMVuGttXriLe305iZAqWJdHTiFwtkb78LrTTV4UMYjomfGyDS1k523WaElERXr8T0G8z+8FtYqZCgUkboCkpByYeIBEsrQmEgZusYgcaISKpmDDNogICEUSKpSpRkipo2IaURt4To16BNL5DtmubwK0MUFrKojEGkq04gLGrlJIFnoaVA1+El8x5WtB9kpXmIW+7cS6deIJQSw5BEqdPeKNDmFvEMk4LRhvA0hgwwIgFBVBBMWIQTFvaKOsGChEkLw/MJDRMtgAHdtB7N6+biMcdc7SIChmhamfYDh2iugdQmCHZEcB6tYd3tItKa4IAF05J50U0iUmF62qOzcxphaZwBl6XvPIj++nIKk7mmhaq26G4XLh7LArKSQ4dWgyug7OE9LdBjAZUKSD8kP634w08mue3eKPGsQT3QyIhJe/fZBVJ7N/zmcviHb2pUVCPXaHSoqQkTpESbUGk3GS3DKzstbr/7CloWzmY9u9HfIV0DCkXBl78dIZtRvOtR74JdL926y8zYDAtT81iWQSx2nnH1fH1zo/ZdKwapxVm4LgXS6tWr2bp1K4VCgS9+8Yt89KMf5emnn6Zer/OpT32KV1999aKCO3/3d3+X3/zN3zz+d6lUYuDklelO4Ua9y49xo9e/xfm5eftYKU2xWCOTibGwUKVcdmk0HMrlZrzN7GyFRiOgvf2NubgUCjWSSQfDOH02kU5HsW0DS7ss64a2hGCuqCjXQhZqdeZLkkxMocOAyQWFbRtEIhaRiEkicfokIwhCisXGKd8ZhrjMa4qcek0IKem/914Of/4I+UPz5AZ7kFIS7e4l2t2M26yNjRDJddBx30M4nV14hQWU71OfGGf6e9+kfGAvZjyB8lwsx6b/gx+lcnAP1Z2vIvIBoWgwXwKRgsTBGs58FS9q4FvARINZkiSTNW7Nb6WsEtTsGPVuydcK7yI0DXS3RqwMmRvOMfmFx6DdgBw4XoUVxTkG4sMksjVs5TNX6aAmIlhWhX4xTn84jlULCEyJF7ORMiQdluiencGL2VjSI6JdbNXAwyKWqlFJJ1AlE/d7caz3g+wBu7dKIl+lPhPQ8GIgNcZyhVwWEMwahCULHRhNS1KDpmvdKmBLCHUNWyXBAQuvM4K1ysW8s06wpoHWJioiqEmbyisriE+4rN60h4pIEM3WGXzrKNEX68yPduGZdjNZg6YpyGI0LVgN0VysdhtowwBhQWigtMbTPjPTJQ7vgRXrHOqh4vvfhWpRYBiSclmwaVNAKnXqVVKtwtycQKIRCdAuqLpxPDOfWxVs22Wj8pKhFZrHHnyddeFihp5zbXu2/CeXawJ+rYbI8xz3SlRrbFKydZdJNqN48B6fVPLC/LnK+TILU/NEoxadHWkSibNk3TjG+Sp+cz6SWryJuS4Fkm3bx5M03H777bz00kt86lOfYu3atczMzDA4OHh82zAM+a3f+i3+y3/5L8cz372eSCRCJHKhb51v9Lv8Rq9/i/Nz8/ax1ppSqUG97uN5zbfh1WqDt260T9pK8fy+Ir29Kc7fFpqpqTKdnYnj6YRnZirU6z7xeOSUrF4nE43aBIHBrtEaK7oU3VlJLg3drsb1FREbBCar+k/Uaa7kMpYPaWs7ESfkeSGzsxUcS3HrimYgR83VvLzfx3UDurqOzWBfP6kRJ313If19+jbp9Zvoe2iaqR99n+rwIZxcJ9K2Ces1GnMzWMk0PY+9C6ezCwA7kwXA6ejC6eyitGcntfFRzFiM5Or1pFatpTo9yfDn/5riD75BY3Q35VARFBVGySP6xf3UHl9DJCo5Wokx8Fe7OPiRjcTaXFw/hSGKjBlDTIpeOgenaRSj1Oox/BkHEgJSikQ8z/09z7A2sYfKZIJt22+lUk3R0T9FdsMMOypbKEz2YFUldgARv0w2eoiph9aSm8vTNT3L+NJuZAGyzgIxu0YoEkSiPn7Cwh/QBGVJsCuBqCusrKYWi9O/fJjKfIZqLUUYGqA08a4qoSMpT6TAFITSauY412A5PrI3REQ1jeE43rhD6FoYyzxkSkFVoKcs1JwFgeBAbS2mDBnsOUoqUqZryRxLBkcYPryMkRdWUxlxCH2aySI0zXinCeDgYmeGgqZ6Es06CIeGpzl0sErEDrjzDs2RI4JXX7UIQ4NoVDAxKfjQB5sCZ2JC8q0nbY4ONygWFH5RYM4o9JDRtIRBMwPfiEZVBPWG4BvftZuJ9QKBYWiWDYUsWaIufPS53MPUjZA09DzHvRLVWjkU8r63u6QS+oLEkdZQmM0zOzZNMunQ05XBsq/LqWCLFteUG+Ku0Frjui4f+chHePTRR0/57fHHH+cjH/kIv/RLv3SNanc2bt63/FeXG6EdWzFIl7bd6RiGoL+/jampErZt0NOTRmt4YV/xlO20homJIr29aUAcd3d7PaV8CQPNwuyJ/e9da/Ls7vPXxTQNGp7AC074R0QjguhJ71qck3RbOi5IOAG7jhZOrikdKcFtK22khHJd8+qBgEjEorMzeXwrpWByskgQKISAnp40ALOzZXp7M+ev7BkQUtL54NtwunvJb3uF2uhRdBhiRCK0334PmU23Eh9c+rq9mn0X7ekj2tN3WpnJgSUMffy3WXjf/8H8Z36H/MSzBHWf1OwsK9QhvrNrEN2/FPYcpvJySNu+16hnLGrCpv7oOtbdO84dtT/gU5HfYDSxnMRQgZmpXvxIDJSgkm/nydK7eSbyCDG/Qu8tw9RTkp3uGrzJOO+qfYNfrP0lWkCjbuNH0hwU96DLIUtnR5FKY84GSA+26K28lL0bP5DYRkgk6TLv59BC4qZNtC8JjthIXzMb6aajd4qe7lECbeM1bKYPdFP2okTaGji+i5OuUZ1PEfOrWEMNClY7conGbdjoSZswbxIeWHykBpySajpUJjv3bObo+BBt8TwioiiLFJbpcN8jDdgm+fH3TUrbZdPF7phI8gGhQRmLfaqaroBIqrUIjbrHxIxJiGLFioAXXoCRUcHKFeAtesjNzAj+/osRfvBDC4GPHQ8hZxOYEiqimU1QA5MaMaYxJUSjmm2vmSxMGbSlNBpNPAb33evxzrd7Z32xcK3RGup1iES4but4oVSrAd/81gwrV8TZvDl91u0iEXjwnguPI5obn2FyeIJMJk5Pd+bKpFq/kWi52LU4C9edQPq93/s93vGOdzAwMEC5XOZv//Zv+eEPf8iTTz5Je3s77e3tp2xvWRbd3d2sXr36GtX4bLzJB53Lxo3Qjq0YpEvb7sz7Goagry9z4hsBPecRCYVCnWq1mYilLyeP1+CBTRZn8KJDALWaRzIZQUpJve5h2+YZXe4uuOYCurOSdFwwXzr1Te7EfPMJ6QYQT0TIZk91EZRS0NubZm6uevx8hOCSxdHxOklJet1GUms34OXnUZ6PGYthpc424Tp/3yUSEbTOYDz+MfyvjxGYJaJ9NrPPjnNH4TnGP3QXldWbqO2do1xwacST6IeWkHgwR8w9xDJ/mP87/Df8nvkfmIt2k10xz/R4FHRAJNYgtqRELFMFH2bcTpQyiAQ+7f4U/yj4X6iIh/PiHJkZl6AninXrEl7dfyt/uvwfM2CMMaDHGTKPYkqf3MI03oSJtdTDS0bozAU0qlGqXhzXiBAxGlgJj0y2QCAjzFTjeLZNrzGBWQNFlCDtUS9KomGN/vXD+MMRTNujRgJXRLGjDVxhN5+mihPLfmlOxBUZzU+5kkabglSiiEDjSE3WMnj3E3UGDZM/2xpD1RZFy7Fy1OI1KU6+pjRKgykl0Tjs2mfR1RHS06NwnIB3vkNz550B4+OSv/orhx07TWZnJWvWOMTfKpmVZrO+x7q7TjPOaikEhqZgCZg22LDaY9mykFgU8nnBD35o09+n2LI54A1xBWKQymXBl79ic+SIQSqlee97XIaGbtyZaaUSUsj7jI3XzymQLoZ6tUGtUsO2TGJR++LE0c0ag9SixVm47gTS9PQ0H/nIR5icnCSdTrNp0yaefPJJ3va2t12lGtzod/mNXv8W56fVx6+noyOB45jMz1e5dYV13kDl1QMGQeAxXgjxAkGt5tHRkThNICUSEWZKDQqVgN52SS599oLzZc3obIivJPXQPuM2Ugqy2TO7+woh6Oi41PVVzn1NCCGIZHOXWPbpOI5JY/VtdHk/T/6Fv6NQCMjFoT89Q//z32Ui0cehZcsJrDb6My6b0q8R3VlnPNvDa50bWeqP8Y9qf8H/U/8dMp158tPttLlFGvUIpVI7iVtL9K0ZJl0vcdRdzuTCEh4xniHlFKjMAgd9qr1JnAMVkmvnGDQmUAfibHfuYKarm9G2AdY4e9hobqVajZJWZVRGYLX5hMLC0xajcpCqSmAHPrF4lZobw1VRjCAkZZQJusaZOdCJHzcRmRAVCKJLq5iBojySJD5YxjcjyKTZFC+hgApNkRTStCIFIMIAbZlggUyFtHXNY5ghEculA2gTcUxL8d5fa7BnUvLjv4wSQlNUWYAnFws8Kb22FEityGQEji2o1wULC82A/Xe/O+DtjzeFwVNPWYyOS97yFp++mYAXoi5jkznwVLOeedmsswv4IOoCVwoOWDZZR7Fvt8nIsEFfX8iqVSGGAa++Zl6YQFq8JH0frNelCb8SMUg/+KHFCy/a9PaGHD1q8A9fcvj1X6txwd71l4PLGIPU1RXhAx/oIZG4fNO00nyBwmyB9myCTOYi4zhv1hiklgWpxVm47gTSX/zFX1zU9meLO7p0btS7/Bg3ev1bnJ9WH5+JZNIhEjH50c4y92+wkKJp1TkTAx1N/5tcurlI6msHj808T53CRKMWQSBxlWbfZINdR092ZTk1RsiwTCLRBNIUJK96KuCre01Ylkk0apO+4/2s2tjG/s/8CdYMzI6CHm5AcISV4hAihKgDqg+cjTa3rxhn3ZE9vLj5Dgajo6zw9zMpuzAX6tQNk2U9u8nkipRjUW5vvMbecD1lnSIMDFwRQRgKERGEwsAs+oTCxHQUvm1x1BqkpBMURzOMjZdwV0ZYkjjCmqW7KUy3YaKZL+ZQwkAhSOkqoW0h4yFVkaCqE9ihS7pRpJqKUl9l0b3iKKFrUCvEiBo1TEex7OFdHH5uJTMjXRgRD5E2QSioLPa5QXO9JAvQAUa9DL5JYCVRgSQ/2YaRDjBCgw7HYTiQ1DMBUwdMVv1UQEejzvd/4FBxBSQVqioJFgClmwpJChAKJxly71slM3MmoQpZaAg23K65/74TszHb1ggBZT9kbuMku/b2ETQkBAoWZNNyBM1LWYJyQGiNVoK6LVAJhXQC9g9L8nmLJUtC5ucv0Moq4JkfWfz4xxbr1gW8590XnmHtbOWdi6kpSTKpyLVrbEuRzwsqFUEkchUXobnMMUjZ7JlftLRo0eLKc90JpJuH1lv+y8ON0I6tGKRL2+7yY9sms67gWy+6vOOOsydhAKg1mpPHXUdDGr6kMV8ll0uclrLbXBQ7lnXqG9dKxSUMFen0iaQMN74//4X3XSJhU61CzbiLtyzL8up+ODoC1TlQvoIGWAYoW+AdjhDMpokn++jabLPy4CEOrxnklug2hsfeRz2XRGdMtjr3gAcdU6N8NPE3POs80Ewfbgp+7N/HL8sc7StnWLg/jTzio1ZaRIcEB6tL8ZIGmUae0BeUvCyjE8voWTtBVHro+BQ9e4/Ss6yfedFOzYiRDRZYoRuUSTNb7CTaaBAJXfyYpNCdAkMScV1kRpNqLzLAGL3BOD2ZabrfMcnRQ0vZ9vKtVI/EIKYgbTRThAc0DT51wDQJzAz4i+nDU4JKkEFWFcmIYjIQHB4RTO6R3JIIsTXsKZowCMlGgLQUgSFQMwb1McDXWKYiNaC4852ae3OSTMal2C0YVTYTKc1zC5JH4x5CwObNAfv2G+x0a+QzispMlES2TKNoEWBDSjSF0jF3PiCUAtMJiaxaoLJ6hu6eKgkE+X0p9k+08YEN58l2tohS8JNnLQ4dMqnXBW+536e9/cqJlaVLFDt3mYyNSfIFwZrVIalUa4XOFuehZUFqcRZaAumSOd9E4nJPlG70yfWlci3P+ULbvBWDdGnbXRn6+jLMzVUYn1f0d0jkGaozuaA4OCnwQkEmkyTZdn6Lz+vFTzJ5YRPF64vLOW4JTFPC4cM8+T+3MnYEQh9E2DRyaA2hgpjQ9LoNjL0NKBbxt7az//0DpEp1MtE8C1YHcpUmlsvTFpvl7uHvs1LtYybswJQ+gTKpOTaQ5A8av8+/qv57Oh6eQRkGfiDZWriFryfeTTxWQyUkRlLAdJ1qPUagTWzpopIxWCiz1nue/JalTCV7KLlp8pPtVGtJRF3gyAYCcHMWwhDUpqMoDLAVy1MjdDuTWDUPHYI0FUMbj5BdOcvnv/kRPE+itYa6aGaF2wdMLzanJSAQzadtEmiACCUyBvlAYMxoRhoGnVHF5A7JgWEDf1Kg8ya0+4jbDLoGNOt/TjG7S2KWNXZO8va31fn4/Q32Lhj8j51Rco4iVILvjdiszAQsTSlSKc1Hf7HB9yslPnfEJtMxj7dEI77bhhEPUUUDrWjWud68PmJtFQbuHiN35xReLUa5bpJ2NPaaeYKleawtWY6MZXnuRyZhCPfdG7Js2ekzQCnhlk0Bjbpg5cqAdPrKipW3vtXDD2DvHpNly0Pe8biHuejad1Gvdi7Do3bPHoPxcYNbbvHp6LgGIk0vJju8+kdu0eKmoSWQLpmrPfS0hrqrT6vNb1RyuQQj+Qb5SnP9ofVLTPaNBQSLye6qfoREupmg4c3F5b2mbdtk3+f/lpGDCygNRtB0awxV04LgBpCJgikhLiBeapAcmaH6N1WKv7iScJWkFEvR2TvGRxuf4T2f+TSZ2TxbP/Z2vms8RsIsYxoBVjygqqPssDbyicb/x/3zPyZrFBg3evl29CECIhgljal84vE6uluhiyG29AgwUJZJmIlj7hkjmxqnMhRnOt5DsZrFrUbQBggtcLWFHziEJYOgEWlmjAs0fYlxDBFSt2NMV2J4boxksgK2IjbQoHE4TljXcMRspuau0lwzyeZY+BDM0ky+sAmMBPhC4FchrAiwNd9/2qYxLmAMKNB00YtY6ChMRWFmWBC3mnFs6zMhdy/12bbf5NUJk6onWJHRKK3ZlzeoB+KkPoK+rKS8zUKs9GnvKaIiDjUVRXsm5Gm6BXZoHLNCOpLHLLgEC4L4kiKHh4eIV0y8tCRcGfBXbR6f/ZzGOGKQ1XD4sMEnfrVBR8fp18c73u5x7z0+iaTmuNfpSQLk2H9P0SRn+P1CcBx44p0eT7zz9AVuL+rVzhu4RTRQq8KXvhRh/0GD+QXBz3zQbZ7HWcrV+szHfUM67QziqDhfpLRQIhGPkEpFz7jbm5KWBanFWWgJpBbXKW9Wi9mbiSvbx8mkg+c1h7if7K4QjccRi+akWMJYtAi1rrM3QvXIQaZffY0gVJiLcf9anQiXSUXBNmG+BjN1kDXoET6rrBqR74/jdUVItpX5uPfn/NQ//DeyjTrhYBo7prFNhSl8ctE56rUYftSkquLUI1E+L34GLUFrQVRW6OkYxQ0citU2CuUUCadMmLSQWlEVCSztYUYNyskMfaOziIxN0enGWxJn9kgWXbdxQ4sFvx3brSMjCmIK4QNSkFA1VCgo+224rkXCDIiECUp1h46UT60WUD0agQNAjaYQCmhaZSSQptk4o8AG8MrgHRGLiRFAjYM7LWCOpjXHAlbStDgdAPpCVLegHAczDvUMbDtisW+7wXRRYi6F7abBrGtgWIqvjEU4Ug24s8Mn52h6iZKzfex+j6hoYKUaOKagcsSCFJDUCFfhNmLMBBHmR3KYcR8bD8+PYC4Lsdt9hCdY2KHwXnEIR2zcWQNZF/zw+Qgf+/k673z8VIuJEJDJvM6CIk7/rzjP75eNi7jdL2YVsmMImoK0PafpqShyOXVGsXLKPmf58WLP/bjY1Gcus1auUSvXyLUnicWuZuaKFi1uTFoC6YrRmni9MS5D3terxvUfm3N5uNzneeXbwl5cANHKphcnDSdfV1enDjcWF3eNFnZtx6vW0FpgSXDDZglaN/VAxISqD+UA/KBZcqkOsZzHkrECibEa3RvHeOzw14mO1ol1w2HVwZAcxqEOWhMx6wxkRpkIe6kFSUJtoZTAJMCJVnDcOkPBCDoBU0YPU2YntXwcO+kz6g6QiFRpc4tYPRb+Xo/Y1jGchEk1O0qQtDHWNAjzFpMz3RglhZ6X6CiYkQBlNXN3F2Qbq70jtHtdVDt9PKGoli2my21Uj8ZIuwJvAfw6EKP5ZI3TzBB3LCbJXfz/y8ACi2oStAT3mMXHW/y+g6Y4Ki7ua9C0SklQUlOJCb64w2apr0g5mgeGPHbYJjMFg464phoKvjlhs7dk8tHlddqdCO/pFxwq7yYuijRicSpxn4pMNcVcPUTWFFK4JONjeANJalYHoqhJD+VJtpVJFSr4pShHvjVE6UeJpjuhap7T0z8x+NFzFutWhPzpp8rceWeAeT3OLi7idr/UkcGy4CMfrrOwIOntvXqmg+Ni8ywVNy0DwzQIQ0UYKAzzzWY9PwstC1KLs3A9DmE3CK0YpKtDKwbp+uHGPc/Tkydcf3W8Oly+ccsvFSnu3YWZSmNG40i3iFLNIxybDyjV1AWe37QsATTqcPQo9Hb5BAWT7mCK6OgMsSSELkzXu7jXe5mu0hRzkXZm6MSLWPR0juPWYlTdKJ6wMCMBaStPtZSiWo7xrtSXeCV6F0oZTMa78V2Top8hYxdJBHXs9oBcbRbj8BzdaYtIrpPda9chTElvusJkJUck4uCHaaL1BiRqSKeOaWhEsJIeUWRlfIRvTCxj95GljE9lqRQSFApJrIjCsBS+uZjwwDupEQRQpmlNSgAmiGWg8zTd7iqL30PT2mQC7UBjsbsiLK56qmEpqA7JdFrhSHj7Jo+3DPqkuzQvHbC4ddFiBNAbg115k1fmLR7r83hsoMFrYwfYl7CJdNQJyiayLUDVbAhBqIBlsW9Rftdy/P4ktl1nMDPK8q6DZP0F6kWHHz/5AOXvxaEhFjt28TyFRgnBzt0mv/BLKX7nt+q8/30NOjuvTZKE17vuXe0YpFgMYrFrOCs+QwxSR18nKlRMHZ1CSkF3d+Za1a5FixuClkC6ZFoxSDc/rTZvcbNx+a7pWrFEWK/RPtBFqV5ATBSpepwwzgFe2FznVApQx+JKdHNtnEpDM2n1Mhd24lUFXhVinbD9mzGW39XJL6/7K/6m+CHCmGB3ZBMlmUInJPFYnYSqEKOGqyy0lBiGYrKwhFuS25g2uyk4KULPxlIBIoRUooRd9cjtOYyu+yRiRQ5GFblggrxYyWFrBQWdRAnoiYd0GHEqvo2lQvq0YKXbw0Q9y6F8nm8c7CO/kMKt2fiBgY9Bw6cpcvppuskda4djYqm0+P/FtY10nKZFqM4JC5GxWEaD5pO5zvH02xjAKgFDze+rEcFUUlJOCDasCNm6YFL2JYOJ5vpEDQVzgcSTmv0lyWN9gPR5d0+FfD5Hds0C9WfixDpqVEZNpKVxygssubfGrpVtdI2NEyrFvQPbmXFy1Nwor+69jekd3eiqXBRHi36UQi+q4qZv19ER+IcvW9Rr8NGPNmhr0+eNMbocMUgn83rXvasZg3Ta7ovNc61jkFqchZYFqcVZaAmkFtcpb1aL2ZuJ66GPr4c63JiESiAkdK9djhE0KBenMetl3JPWEPUDMCLNyeGxCaJlQTQGBRGn0ptkotrF7ulu0uU5wiwYE0f40z96jH/8u9/nl5f/JR8KvsS42cVWtnDYXc7Wtg0IR9DQNvvrazGUpscZR0QVtUqSofhhJsw+Ghg0DIcec5w2NU/HC/vwdhbp2WQwU5Xs3G+xsDpFm54mJvMsJATz+T6EXYYgzQai9ISCDDDWMDgwPMDBySUUKgq3KrEMTRBRUJGAgCiwAlhFU/zMA4eAKZoiKUozFgmagikOIgO6RNP1LkrTcnRsqS3BiUVnJdBJUzSVm38HWYGdam7qGBpDaLywuV7tC2WLqUBScAWWDb4CU2bot5bw0Y6DbLyjyBcmHIKXkijHQZkaSytk2iISusTCGn3t4wyZR5g2czSKNhPbB1AFCb5YFICLAknpRfV74j567gWJxGLFipB3vcs7b4zRzRSDdKYvr4cYpJNLLZZqmKZBLpe8yKO0aPHmoSWQWlyntCatNz/XQx9fD3W4Mcn0dTHT3svU3ARtt91DLbDIvvYD5vIu/mLmtnoA2RiYNnhuUxy158CJwWsb7yeUsLb4Kt+YvIdIeYIlu/MMLTvMzAtxfuuv/zW3PLqHx97+Q/JBO4VIhkJHkl4xyYi3hL21DQhPE9cFNkdfxTWiVIwU8bACWiBsRY8zzurGPnqe34P92d2U+jox7zeYpp0OdwTl9zNvdmMpn2XpA4QlE1WVZA2LvlIJ6kVmumIcKKaZycfIewls3wRDoU2FP2Y303h30Ux2EKNp7UkDPUDf4vfjNK1DnQqq8rgforQhtGkKDkkz612WpltdnKYYMhfL9GnGC1mgY9AWV2zuaarRoUTIkkTIwbKBaWsmfUlMa7SEuhCMu5KlUchyP1GxlBWpkDUfEnxzaIRdz3vs2ZfCz4SMO0PMzXcya+Z4d+/TLDcP8lL1VvZtX4O3EIFAHo+dQoZNYacWY1lMjp9XpQL7Dwj+7gs2Dz3kET91CbFrxzlu99cLi+t1ZJiYkjzzvEXE0jx4n0/bYhKMs8YgnaT0Ogc6QcDU8CS+H9CClgWpxVlpCaRL5mq/eW696b76tNq8xc3G5bumpWnRecedHP2HvyPvx4ne+QgNyyb5/FOUijXUYsKGfAmybTA4CIYDDSWZvGMZ4lfTbNavsLzYyYxV4IfDq1iSnuG299ZZNbwNf/WPeT73BMV4jjYnz6zXyUh5CTtq62moOFHRIBeZ5fHkt8nMllla28YPex6lpuK4rk1/dJj7dn+X6Pf2MHPY59VlH2fogSLWPROUK+04SYvl9jC9TLM3WIeIKfpzRxibGORH8x6vFEKGpkdIliOk2to46A3ghhaGtrCVRfmogRYSuo81CM2JkLf4iQFLgOU0hc6xidhhDdMCxkGFNDPW+TTFhkEzOYOxuP/Jv80Ba8Ho08QSmscHXTbHm5PciAEfWOLy5ZEIzxcs8q4kZoesSYekHH28xyU2cZbRwKfg7OItb5E8eNsk4yN5ZgtF/my4ByEEuUyBrtg09ozL8PQQ00EHStGcMQiIRyrcMvgKWw9uoU4Ubclm1j0F7NcQCKZnYOtWg63bDe6751iu8+uXN7zG8xV+XGgNrgtf+maE3fsNQBAqwU+/2z1nNU6ORRJCIFrPtBYtLoiWQLpkWjFINz/XS5tf7idvS/hdf1ytPrm8x0iuWU961Woqhw8SX76S2H2PUOnqI/ze16hNTaKCECmgWIdy1SZMp+EtfSR+dQ2D8TkaUYPbrFuofjjOmLlA+VXBQtDOhv/DobJ/OyO5dYzvaYdVglS0xBZrKyvjB6jpKElZZYAxbN8lM15kuXmYZ/sa7HbXUMtHOVJazZ/b/xL1gMHcbR0k3BKpWIHMjwok24ps3LIdU4SkKDJgjHBAraKnbYJEY5bpVwVHE3cRlSXeV9zPa4n3ocIoUioMq0553MSrSVi92BCRxU+NprjpBWL6+DpIIu4jbA0S9KCBHhPwLQF5iZEAYYKua0RdEAQ0EzdEgQxNoZRpftfR8Mn0KDYvDfi3K+pkzBMBX/1xxcdX13lL0eNLMxGmfIO4qbk97dPvnPoKW6FQgIUgGlOsWFMjUjZJzkSIOKNEgxoVI8a+o2spPteGvs3ATPkEMYETbbAxu4OEqKK1JGI1aEgHDNEUiTIELajVJEdHBH/xWYeengbLloQ3/LBzzrv0DcZNne04WsNzLxl8+esmu/ZJ9h+QxBzFilVNwXQ+LkuT38yPjJOzylzJY7S44WgJpBYtrnsu95PpZn3S3cjcmH1iJZL0veunmPjmlykf2o8RcYh299L74Y9T3LeHxsFXMUuTtLeHqMfTRO9MEL/NAvMoDWsDqfoqosEG0l2P0fkrP015/xGC4IfI+Mvclanhlrfx6pdXMt6bIrsaOpeU6U+NEU/WsJRPW6XAUauPeL6O2xNjttHG7sMbEa6JF8Kwl8BqeCwd3cFP/eRz/OTRJyh2pZAiwY5Dt7Bs8BBu1KZHTBILKnimRazdJxUrsGrP14g/cDu3r+rklV1g6gAhopjCJ6hpVI6mK12DphudpvlE7dJNNzlTNy1A0QBMjZQ+sUgVx2xgrBao+0APG3jfztI4FMFug7XtARRhbEoy40qCKOgMGBJydki3G3L3ugafWBrQKU+ddc0SUJAh3W0G/2cqZLhuYApYFg0xjs+2fWi8SlR7dERzjIgyUjRd5BqWy+o2zb5KFG02GCsPoHxJdWec0LWxel3UuMHdseeIF+oUq0lAY8oAagoOHMtZ3qyXIZvZCfIlwde/Y/Orv1THsq78NXlOzjbRv0ABcDlzml5oGU9+z+Tf/UebkVFJtWzSaEiUFgwPe7zt3toFH19rWJiaZ25iBm1F0Hbs0irUosWbhJZAatGiRYsWl0wk18nAT/8C5f17yG97BXduFq0UqWUrGHzPB0it8eid+hKV2CjFXhujkKaR3Yj227GDAUy/GzAxo7203dIL/kasbb9PLbWbe3vG2ZSZZm4+jnVAsfx7R4isbTD/UAe+tFgIU4S+IBA2Xszib7/zUXwzCQaYpkdfYx93fuPvuO/5L9Ov8vxk6HF2TG5G1KBj1QwqI0ibRSKmh4mLJyOEDZ9qTzf2wTGM7g6iPQu0j4RkTJeZRhQ3MDDsELXMbMYJ2TStRxJo09Ctm09WBTghwgmxLR/LCrCMECsM0Z5AGhJzjU/HkknqP2jD22FRqofE2jRL+mxyUUU+MKi7JsqUJDKa9kDzPkux8XXi6BAuT4kKJRRJJA8ZCdYlzrAYqLsHyl9HaI91PEEY72ZGVZgtSWJump/tjfKF8Qj7yibbivcw0HGQMGLh746gDkqEAYO5EYr1DHNzOQC8wG76p1WPvYpvzqYNQ2LbIb1dIeOTBpPTksH+axyMcbaJvjhfcoNrQ74g+OQf2xw6KGjUoF4LQAvMiEmjYfPf/1eUJ95RY2DgXMFVzX+mJgtMj85hhiFd2Ri5bGux2BYtzkVLIF0yrRikm59Wm7e42bgy17QZi9O2+XYyG7cQVCtoFWI4MQwnAgjy3Y9izb+ELQ5RzfqETgbH7SXmbkRin1qYlcKwP0T71/4vvGiNeCxC3/x+nHiIbpeMr+winFcYgYvXadJ2uEqt12FbeQuZ9hl6/VEyXSXW6We560/+nMyThzEDExVrw98mCDIOABOjA1heg3Uf3MNhlpKRCxAqKodCCELKvQMsrY+gBazvW+DFo510BQ1mXIugUyITzXWbxGKCBZ3S0KuPp+gWMQW2ImY1cKJ1tIZ6I4YXOKTMMpYUCN9CRTXv+endBG/NU9ofI3FEUTZSVDMdtPUJDlYSGLNJannJzwwFPNwdntaVr4o6NRTLsRnD52VRY5W2T483ETaIZlrBhIhyl17J328N2LHfRldirO1X/Ks7quxXmnlHIO0ehr9lsHt7hCjgeprhykpu636BSj3JTLGDfLUNFq1QxybjpimxbU0mq0hnBFrq5lJO1zFnEke+r8nnNVJCNiuQ8jxC5DLeWvUG/P/+R4RtuyRezUWHYJoGoSdQnkJaNpOzNk//uMaHf+7s1Tgeg+TVEV6dtvYkHR2py1fRFi1uUloC6ZJpxSDd/Fwvbd6KQbr5uTFjkE4r3TCwUukz/BDFz70Vk7eSDFyoKKSOnrWcxoa7UQc/ROQb/5s2kceP2ujxClNDgvAHBep3dTO1rJ/p8R6cdMDdxnN8tu0j3N31KlpAG6Os++O/oW/mMPVAYFsW+Vg7uyO3NtftEQK0YGrnAHd86EXyQRu2dKHqkc8n8HNtJJVk88xPQG1hVWeBFbki+bpJ3fFZsJJoTyNt0KFGu4LQgWwwz+ZdW1k1f4hKW5QDy5dzaOUQKjQIPQPpKgLDxJU2llPHUQFBYJI0DrF+oMjoUB/tyiWtXmbUvgVT9RLsMcmlHDalFI8v9ZiqSHpSCvN1gkMHgv1HHYYrEbIRQb5fkH199jh7NaQ+CARgr0aHgoOH07QhSHcqhmcM4trk3bkUmiQa2PIJxcf/Y8ihCQNDS3a59xBPOay6tcGYpykeMVCBRmMgZVMrGQZEkz4DQ5pSTbJ5Q0BP542Tysv3NS++GPLCiyHz8xopYMlSyV13GWzccBald5ljkHYeNNmxz0SHGhUIjIjGCCH0JWGosSKKaEQzOio5V5BLKwapRYtLoyWQWrS47mnFIN38vHn6ROoLcO2REvd9H6XS3o/3k69SbRzC63CwdAWiNSr97UTrLg8Xn6bhWPxJ+hPM0o0l6rRVJ+j71FfpfGUXVgA6YlHPpvnhpg+Tj3bS9Kc6XhnQinyQJlccoTQTxVvRT+/had6nf0QmWUbpjRjSZEPvOPvmYN7txkTilYCkwBSaUCo6w2l+7sf/m+XTR6jEk9jVOvdOPs8z8/fzzVseR1sC4TTXDtICcsYUMgKejrBddhFDslzVOSRjpAOTARVSMyW/sdanz20wmZf86bNRqp5kY4/Pz2xxsRbn6uvDKE++Ktl/0MEUgp7Q4i9HBL94b51s/KTJsxAQWX38T0PCQC7khQM2s2XBUKciEzuWNrppf9q4UvH3f1Tk777jsOuwSXtG8VMPLueujQEvbzX44z/1+MnTBrOTzSWRLEcjExqZNSlFwbN87r3LY/ceg527JIWCJJNWrF+vWL06xH6dAfGKcgExSGGo+drXAp5+JiCRELS3C8IQ9uwNOXhQ8VPvhzvvPLs57HLFIHm+IJFSxGJQLxiEocSUgBBIqRFmiJSC9nZ92r6XnTfP8NSixXFaAqlFixYtWlx3CCmxH3gbxpY7cOeew7VHqfVbWGKY9MxBnKlZXuvYwPeXPoSvJW0zR3CeOsyyv/git7QfwU5CpG7DOwb48vs/zg/a3o346xDtmc0Jn6EYvPcw47ofWfFo//T36MYkuaqbh8bL+DKg9PBanjwUZ8d4J+VGBBFGycxXSZllGkaasACBlAg0qyv76ZydYXjpajzDREV8Ompz3LHrZbYvWc94Xz8oMMOAuKwSC2uEyiLnLBAg2a4SWHqOnC4ybWT5UEmTCiuYiTjENF/ealGoS3pTiq3jFvcsDViea7rbmTMxrCMR7m33yTqClIJd4wavDFu8bb13xvY9FnPz3js8ujMa14fNQwGJ6OnWiN4Ozb/4hfpp39++OeTf/GaZz+QEO/ZKjsxHcENJb2fIbVt84inJXF7wn/5blJRUmCZEHdi/X/LCi7BpY8gHPuCRuloeXxcQg3TggOLZZ0MGBiSp1Ikd0mmD0VHFd74bsGbNqb9dCVYOBmxcZ7L9ZU1+VqB8RagFhqWRQiOlJBF1eeD+85h3NARBQBi01j1q0eJiaAmkS6YVg3Tz02rzFjcbN964ZaQytKfeQUpW8WUZIzSwUgWG6y8zPzrCipG9mPu20Xn4IH3zR2lb7jF/EA7Oxnj3Sp/ZjEM83aB/YJjOX5pk6uU+Qs+kb+MovbdMMFoZ4Pa5p1jy7HOEJcna0ltZEN3s6X2Aucm3UpvVpO0qy+MSZ2ycxswhJmIdvLjyfiZEgkoAwlfUZ+J8J/kO+vUC7cYUwgiZd9rI+TMsWRhjomugqcukwpIKJSI41ElRxNSAirFDpLknnKToxhg+8Bq3LkxCsgvWv4u4vQovgLmqxDE1EUPTCMHTgponiCjJcmfxkS4hYmmK9bO3/bGYm1RM87ZbziyizofW8PxzUKtouodM3KSkOxMyNQVzc7B2jWLioGTrayaPPeCxYskJN7tGA155zSTiaH7uZ/1rniDh2PF37goJlSaVkqdt09sr2LtXsX+/4vbbX+/jyGW9tTrbNR97r8vSDsFn/hds32ZQyBuEWuBEBTHH5fFHXFauPHc1tIByoUy1VL18lWvR4k1ASyBdMK8fdq51DFJr8n5m3ki7XOs+bnHptO6HM3Otr+nLN25ZKo6lFoNqIh0s6RxAPvt3FHdtI//KJI1ywNHUMg7Ua9Rsm45lGmP8EAu79rDq8Oep/ozEi6S5L/Vdypv7qdhxjjSW0tmY4z3Fb1N/R4b2+ZDZ3D1s9daTd/pYEpUkYgLDasc0TepiCmkIBo0anZ1lRiI2+6oGpVKNgX27WTAy7DWXkwvbWGLtJSI8pKDpFkUAyiIQDkIJ4laVuCog0XgiTU7GmMdiolQmXZ1nuq0HRBTmD8OeJ3lsXR++SpCvSu4Z8hFR+H/HYlRC2CRC4rZmtizoSGpmG4LZUJBKNAXJyKzk5YMW0wXBUJfirlU+bYkzx61oDcWKIJ3Q5xUt8/Nw6CB0dsGLRw0SjkIIyGabv42OwPSEJJnRlOrHVtJt4jiwZFCxc4fB+FsC+vtP1Mf3m/W4qu53iywsQDR65hM3jGbGg2r1DG13nra6kCv/2DZzcyG7dnn4vmbjCpP/8d8snn7a41vfkby2VaPCkAffavDb/+L0xBGvP0bz8hOIa61AW7S4wWgJpAvmehtcrrf6XC+8kXZptemNS6vvzsz11i6Xrz6G4zDwvg+RXrOe5PLVFPfsQNgOjfw8A6+9QGxmhKMm1BqKzqd3cufR/870w48ytX4pJZliPpYlYni89+hXWTu6i70bV1CudfByfgMchY2VreieTahoL6bZfFRG1q5CppLIqEOqK00nAbelA46M7WCyUKC9fBRT15nrXUujvI67g2epOVFGU92oYoAvLYKIxbzXCR4sjR4E6REVUWwJSWBMJIlLF9eIgixDqgdqC5hhmSfWW+RiTeHyvQWbg7XmYrCHbXh4jcdTeyLsLwsOCINUWrNHmCyZCvnCMw4zRUkiqtk1anFwyuCXHqoTP0OejKdesvnJDpP7b/F59Hb/nH0Qhs24IykFGjg2VxeLLmv5OUGjLnDioM6QoyGd1oyOGYyMGPT3N13AXn7Z5LtP2SgF993n88Bbr5J1aVGdtLXBnr1nFo9KNdd2isUuvkIXuobS1FTAX/11maMjAVJC1BG8591xfv7no7zznYo/+k8FDhzweeCtcTo7E+ctU2uolarUK3XaMnHas+ffp0WLFi2B1OKyczHvyVq0uFloXdPXAsOJNtOL33Ib1SMH8fILmKk0/oE9jP7+J8AvkzYh0CAOjXJn/rPMhLfw9Vt/no7GLA/WfsDm0qtIbTMcvZUf6EcY8MZY3WsRlhKoRIJI9ISKkJEIkWVLj/+tAZw5Yl2H6b1DM7XNxi5O0psxmKhkOcAQu1cuYcTpRWuJQBGlgSE0c/VOtC9ZLqboiDYAiPou+3bGcScD7BQEnWA2SrzaGOJr2zsJhM29/T5vX+7RaSuylqKqBN2RkDU9Ib3tdb4yZhPU4faOgEM1g+/MRZgpStYPhggBfqjYP26yd8LktuWnx6VMLQgm5g2mF8Lztn8uB319cOCAJhtXTORN4k5IoQCZzDFLjCZUgmz6VNGhNXi+xg805aqmUtdMT0v+/ks2gS+IOvCtb0Xo71OsWHH+urxhFm/f9esMnn9eUaloEglxyp09OanJtQtWrTrd/e5y8eJLDUZGAjast5BSMDYa8IMf1tmyJUImI7nrLptUClavPrHq7tlGH98LmBqeID+zgGFIIhEL07rO8623aHGd0BJIl8yN58t/dbhaa41fDW6UNm9x7blRrpObc9wSQpBYdlIwxso1kEgz/HsfRNVdDA25tEDd1cH4Pau4f+o5Nto7WW4eoZSIM0Efz06/lUYiits1R5itgNmDMhwC7xzxOdEZZGYrbbdXcOYrxJbHODp+K1OeRQXNDuN+FrozSNPH0j6GFEgNoRaYtgLpUKqnsCIFNJrhJzXDz6SZcw28yizLV5V55z0+35Nvo6oiJCzNs2MWt/f4bIwHxPs0+xuSV12L/zpnMWCHrOwOGZ8xmHQNYiY0agLHPhFj05wfaypniU96+10ey/sUqwbOH9RvGPDoIzA/B9MjPpWSyd4FSWebYu1a8BqaQkWwNKfpzZ0QOVpDoaIYn5PMlASjJXjhgGBsRHJwVNI7EJJNKQqjNpXK1b23Vq2S3Hmn5CfPhmTSJ7LYTU1rtIL3v88knT5DnS7TpV4qKaLRE65zqbSkUAip1zWxGLzvvQne+Q6NbZ842CkxRyf9PT0yycL0AlHHoqMjRTJ59tT6b17Cxc+VPkaLG42WQLpgbh5f/pubVgzSm5PW/XBmrvw1rfHxzVmktjDDjtf9eu3Grfa3PszST/4shz71Oby6R7RPk1mzwM8Wv4Q54iEGQfRJIkHA14N3U3AzdPVNUVIJalMHiXeNIlUHmsEzlq/CEGUdxqCCLVZgZX3om6FzsJP9hUG+v7BAw4+gZ036Y4eI51xm7EFc7eAY0G4rEsKm4XZQ9IvEayUmtyWJdMXoy0VZeljwcqGdt6xIEl3ox11otlvCUk2RI2BZNOTHdYvpwGBpJGBPw2QoHvC2To/JhmRzJsQV8MXhCA0fHAsKVYFtQnfbmdcl6mjTdLSd27XuZFatgl/+Zdi2LeQn2xqM5G2sqEGhDmgYWqLIxRXOYnZ3rWF8LqQRWpSKFkuH4JZbJXakmeFuaLnJ6FGb8ZGAvm6P7p6rO7k0TcH732fR2Sl46SXF5GRzHaSlSwT33mNyyy1nsR5dphik3h6TF190KZUUjiMYHw9Ytsw6JWnEyeLobNVYmF6gWqySTkXJ5VI4jnXWfVq0aHE6LYF0wVxvk6/rrT7XC60YpDcnrb47MxffLoVCjXrNP75rMhkhkTi2dtGp5WlCKrFn8awjCG0Ta9yO4626rPV5Qyx9gDtveZJKycPpzJNc0TwvFTYtKsKHg3qIrd4tDLSNUjcclBYYbpWwsoCRnsOKrDhj0VprVDSCNkzcagMpwYpL0NBjuSzPKpQYY3P2ZZbFR3CymhGxjP3hZiqqg4gyMQOLuozhW0MQqeGJCtJQ9BgRkpl+Ak9Drp13tbt8/QA0AsHDSz0yzutiZITm2PQ5asLDfSesXpWY4OCkwc5RE6UgYsJ9az1WdF0+4dHX1/y8850B5WrIwTED1xNkkorgCc0X/95m124DUyr8AI7OCBIJi2Qa7ntIYS9eXvEEvPP9Abu3G4RKMLRCsHfKI5ezTlsY97JzkoKxbcFDD1rcc7dmfl5jGNDRIZpJGi6R8+3p+/C1r8Gu3Q7ZbMjcnEvgawYGTN77njiWdeHHnhyeZH5yjjAIaevOXB5xdPa1aK/MflcNxcnJQ67cMVrcaLQEUovLTCsGqcWbkZvnmtYalnULBjsFlik4MuUyMlMn4thEog5SCgyjOR0PZRHPGsUI2wiNEq516DwC6epS7vspkis+T2LrVsqzccz9NZwBjfBBlSHf0cb3048QFCIk0iVmRTud7ixCaUq+R+YcrjFCCGRjCcTmMLLzKKVxC2m2Tzr8yClhJou8rfsp1ib3UlcOoRml0zxKRUXYF8QohxGEUoTaxhRgpw2cLQbBjwIaM5o5Qh5+OE46bZBG8Wu3109JhHCM++I+475kzDdYHQnYFD3VNS4R1XzkwQb7JwzKdUlnWjHUFSKvUBhNMq7ZsvrUOsQ+7PGZz1p857sG+byiWBFsutXl/T9vsnzVqSeUzcH9Dx9rd4OJCUGlrknHxZVN1nCGsh1H0NsnrsqdPTYGzz0Pvi/JZhP8o38UxZCajpxBInnuzjp59PFdn0a1ThiE9HRnaGu7PEkZQq0pNoLTrr/zUW5cuDWyRYvriZZAuqG4mpOwSz3W1YxBupLtcfNMeK9vbpY+vFxundeetrYYs5UG7oRHJqaImHDbSpO6GzIxXybAoK6b+ZelbSDjCQJzHlAYKn2GEq/huCVMFh79bbL1/4Cx/RALP6lgpOoEXSEzj3Uyt2IFR3cO0h6boSxSGGFIZ2kWjaBm28SiHZzr3btodKPn74DIPFIbzBbbea17js62EuviO1gX243Sgrxuo6jTdOk8K9U+9ixsYabehgdElKDkKIqmx7J3mNzbYTIwL8lmDTbfYlCvnr5A6zGcmENfWOWXolWKSpIzFDFXU3dP33Z57sT/3bMX+YYRApzYqbEuy5YpOjsDli/zGBnxkZZiahwmRqOsXH3uuJje3gyvHqmwrFMx0CExrpCwC/wA37t2k3nHhraMwfi4oKtD09N5TMQG1C9wCSOv4TEzOk2tXCMWs4lErMsqKoWATPTirFEyuN5d+1oxSC3OTEsgXTDXw0TmbKGYV/pY1ytnquPlikG6Ec7/ZuBKiuUboQ+vdB0v7X5IJBzqrkEx33yw28WAiAzpzkoSUVgoNbOuVVxBdeIWSI4ScxJE3bVnKE1g5KewJkcIku0EfUNcMfPFGc61kbubhZ/7NyQ3/0/k8HZqCBb6BY01EtMLqLkJAsegrqL05SdoyxeoRWIstA3QZuTOcIzXHdHtBLcTjeYV+yDxtiIWLh2ROao6RkzWMW0fhKYSRjicX0mp6hAKgTRCFJrtpTjrjJCPRULu33LqY1nrM/soVQolvIaLZVukpECFMNOQJM1mdrvLxU7f4kUvggDusl3WWecWEVppSgvF076XOFTKkjD06Mqa+Mpn+pDH/mSF1WsUyeTZy0y1QWGuwcR+Sb0Oy5cJstnLe+9IKZFX3I/v7KTT8OFfCJidFSwZ1MdTpV8Ic+MzuHUXt+4SBs2+b8vEiccj59mzRYsWZ6MlkC6Y622ydb3U53IItcsp9loxSG9OWn13Zi69XSIRi0ik+fY3DBVeqBie88jFfVb2GwjAC2DAzZGvtLP3iKJhh7S3n1SIUiRf+zpt3/+f6Nos2khRuvXDlN7+c1dQJJ1Ow7kDf8sQzuY9JIKXiFZHqc78hKfbbuWAXEG7PcvS2VGylTxTqQ5mswNEoyuwxYW7J3mRMl6sTEM7tMfnMFTAbNBJf2QMx2hgC4+qG2e83odt19C0YVk+WQE9bpzbau08nG5gLnaZH0C+KnAsSMVOnynbERutNdqw+N6szYsFk3IgSZiKW9MBb+/ysM/RxBcy6g77kq/Vo9QWzRDTYZSuRJ2BcwgwrSHwTxdRj79dcHTUYPIHHqBZu1ayUBV85wcxnnneJpmUPPxYSE/fmVXB81trfPnvpikUGjxwX5rf/hcpMpnLdw1JKTGuoUACGEzA4JIL2/bo3qO4tQag8RoeanGhqe6uNPG4g3Wh6byPXQjXwzvga0IrBqnFmWkJpBZvkMsxol5vo/Kb9klxjWi19/WOYUgMQ9Jo+DQ8fby3bBNsU5CKCRIO7BpVBEGIuTjRjE7sJP3q52gYwxB6COZwDv859bG78AfPnPzgShGSoyreQtW6H58Zpp/8JNmspCdawlzuMdyzlDE9gKxAOjpATrTjYF9w+WXloUyNa9ssGG2MyQGEVihX0uYsYBghC0EWpUySjkGOEGEI7tYR0pYgL8vsURWWGTEOHY3x/V0Ws0WJbWk2DQa8bZNP4qTkDKbVfHw/PWfx5KxNztYsjYUUfcFTszZRA97WefYU5Rdyx00GBkUl2BBpWhJ3uQaTgTynQBICLPtUtyrfbyY5+Df/WnP/XTVMp43ubkF3j+S//JniRz8wmZ+Hw4cF/+Q3BW1nsA49/f0JRkcXiEYF3/i2x+PvSPLg/dYpOvvNNJIMrhrk4PYD1Mp1lgzmiMea1iIhxMU1QstpokWLM9ISSDcUN0IM0tXkStXxTf067Spzs8QgXSo3Qh2beF6A6wacohkWqy8E5NKS9ShePlihp6cZi2QWJ2i0lZDjdUQQQZYD3K4FhH8EuBIC6ULaU2BlujCWP8yhl/ZR78zRW40hog0aZh07laY/3U835/D5OvmIGrYG8Ipt00hmqNkWnmXhYZE0K4yF/eT0HG3BPO3GAock1IiSNWAFFgPCYDgyTOBM8pqh2FqOs3tvP8pz6Ew7NBoW39sZoe4Jfu4+95SYkkDBS3mLlKnpijRFS0dE42vNSwWTt7R7OK83JFzEJZeUClvATCDQCGwBSXlxack8D/7qcw7jE5J3vcPjztsDIkmDUknT0y34pQ8Jnv6uTzJhUCrC4QOC2+46vZx4XOO6GiFMolHJSEFwZFphG836dLVJ7IvI9HajI07KllCtujitRWAvkZYFqcWZaQmkC+Z6mMi0YpBOpRWDdOPTikG6slzeceK0mIjXFR2PCpZ2wsR8BdM0SFgOYXsUnbSJ7q2CVIQdGfyu88f2XBoXfq4dDzxCthFHjSqC8Vnitk22s4d4zzq8gkUlrkjFz11GKRQ8ozWvpQN8O0LWs4iLKoG0qJpxTAJs22WWTqJhjXvUCxy1ljFrJuizq3SoOAvMYMZfocPwsQshM9Nlkt0prMQAoc6SKPYwaPWzc9RkIu/Tlz0x2fIUVEOIGqd2TMzQVAJBQwmc1/12MZfDOjvk4ZjHiw0TgebRmM9q++ICzkulpmvd0RHJ+ISkpw3+5n/7jBwNeeQRizvuMHjPOxXbdyuUCYmEfcZKvvdnusnna5QKPvc92MGW29uZrrgo1Ty/2ZKLIU6c61CPQSp2/YwBVyK/a2d/F5PD48zNl4nHIyRaAqlFi8tGSyBdMNfPQNvkeqlPKwapxfVAq+/OzOVrF9s2cRwTCFFnMSI4lmBFryDhKHaOhNR712NUN+E+UiYcyBMmLKp3PIBKrkZcnCHiMqMxozFWPvYInS+6JFhGLGphpVIIBEppZsseDV/RkZZnzARWDuEHoeS1tgY1F/wJmzDZRnZlQMR2CYXBAm3EqZEN56nVEuyrrGa9sZNRS+KKfvY7E2TMETrNPLJRozw7R7IUkp2OQbTBxNJbqHUexJE+1W0rKddPrUjUgH5HsbNskjtJuMy6kqF4SMo8eyNfyKgrBbwz4bFJBfzkVYtSKJjaJOntuPA34u3tmrc/6jE1LbnjtgBcSKc1+w4oiiUPy7b4yIcle/cKLEdTd8ponVps8xM1HByK8bv/9zp8TxGLN6cuJych8H2L8CQFv+1InTV9itxJ/Xeuc74eXjle7PHTuTSz4zO49bO7Up6XN30MUiuLXYsz0xJILd4grRikFm+UVnvfKKRSDpWq5DuvnDlPdDou2LBUko4LNi2FXaMO3St/Fau8nPLSMZTdSRh/AqljV7fip9G83tKOJpWOEag49kmJEKQURBybshvgzQd0ZZprQp3Mjrrk5bhHvaEJZu2mq2FGEfgWiVIVO+KihIEnTaoiQac9y1jnEm6r7OEO9RXC1CryYoEpGSNJFuXXiJaqBFaMqs6Rq5VwKoJ6IsZCcgKnN4OdsIETVgIh4C05n9GGZFfJIG1pSoEgaWoeaPfOuWbNxdxxr201eeYFG9DMLkh+9afrF5w+Wgi49+5m0gatYWHK5KfeJ5iclHzve4pnnw146EGLgYFm+4fK4JkdBZKZ5GKigRMHsiyJZZ05McPrkxKYZpxvPlMgLn2Geg02bYycc7HVG3UEsh2beqWG74copZEXu1BRy2miRYsz0hJINxStGKRTacUg3fjcWDFIntdcANO2L9fQeaNdZ4J4PHLW9MG+H/Lc3iquG5BKOXR2xlAkcBO/cHybiwxhuUgurj0tCUvSmlenJLnTMsUJIhELzxdMLATkkop4VBJo2N2QfLUk8GMaVTCJWVXaO2fJti9gBgFqVkAZtBVQt6PMdOcoRjKsF3tppBQRf5aKTINokKMA5HFjKSJKkqhWcfUM82EP+dBhQSmqbVXabzvAS5k4MzrJFtqJLAqlVYmQjw02eClvMd6QrEsqbs8ErEic5a31JVxydVcghMY2odYQaM0lra8jBGS7O5gZm+RDH+qiUnHp7j5V8BgSHrrF4rWDFXbtMThy0Oehx9LEExfuPqa15vkflXjhx1VKRZf2pOaRB2P89AdSmOaNdL+dn8HVSzjk+UxM5jFNSTJ57nWlWryeVgxSizPTEkg3FDfXwP7GudwxSOcru8Xl5/qPQapUXFy3+QY8m9AoBfPzgmjUJha78CxnbwYsyyCXS+C6wUltc33fSyvbFdtnJI0AnDM8EW3LJAwFM+WAuKcYNm2+c0BQTWkiUtNmL9DXNUok5VGtRCmOpHBkg/iSCjLu49g14gsWpdk0u6yVmD01MlaJQJgEQYbZYhsThW7mvE7sqEVvbILlfQso0UMBDzftk41p1joSC8EusQBaczddx+u4NKZYGjvD6rAncfwOuYTuuO8Wn5kFSd0VPHaPd1kytA8OSn7rNx3ss9xCW1aYbH+pyvioTyGfuCiBNDvt8+oLFZIpSU9fnEbV45kf19m4wWH9+gtbG+iSniQ32vuOC+WausO2aHFtaAmkFmfhQkf5mykGqcWNy5Xr90bDp1JxWdFnsKLXQGvYPxYwOudTLNaJxWzSaecS63DzXa+GIa+hcLz4cas/qRlIaY4WBUOZM88EDcMgCBQHaoLdVcnUXpB3KdJOnoHsKGFUMtdoxyr69CyfwGmrM69zzI10sfBCN/XpOCIZYq90WfA7eCVxF0HBZH5fJ42JGAQKu90n3l3Hia8g6zfY0j1GtmuOLuE0s8dhk8RGIBgWFdbpNlIXkYb89S1zvlF350GD53ZYzBcla5YG/MxjDdpSmsu1VJAAUqlz99fPvD/G3XeEHC3VUco6p/tYsQCz04JsTtNoKBoNRWdXBMMUuKZkbiFk+44GHR0GnZ2nT31e3x6XdGdeo9tZLB54cqqAEIJEwrnwnS8kBunY7y1avIloCaQWl8DlzvZ2NbPztbgw3mz9cPbzzeXimKbENAI8H2wLNg6ZbFja/H183ufobEgsGcMwzvRq/c3WltcrZx63DAn39IdMV00W6pA9i4eSGTEZqwum9xcJ8m3EZIPezDhaaqRUdMzOEu+uEMm6DNcGmd7Ww8IPegh8E9kZ4GxoIJIh5XyK+elOlDQQHeAHFnpCUj8MpX1JMoMVnHUlXhpZwZCGDb0zZEiToFmxKCZF6tQIzimQzucGd64rct+wwee+7eD6gkRU89SLNpOzBr/83vobFki+r3HPbew6juMIVq8wmdruEQQhtn1qTNIxFubhq18wmZoQdHRqHnrMIpU2mRz36Oqx2LO9xsxEg29/W3HwYIMP/nSaNWtOFRE38h06tH4ZR3YfppwvH8/qd8G86WOQNFfeBa6lLm9Ert5S5i1uEq5Grp/WYHLtebM9Lc91voJMJsZ8PcKLBwV7RmH0/9/encfZUdUJ//+cqrr7vX1v71s63VnIQhJCIKxJCGvCHgdBFlEyiPqS4cFHZx7nJaKAjjiOiOij8/PBUTKo4AiiQlhUloQtQRISErLvne70vnffver8/uhOk053J52k1+T7fr0a0lV1q86pU7e6vnW2OpuK+s4frTUBd5qmpuhx7FsMjyPft8ZlaM4utGmMG0RTfW/T4SjihomdSKBsCKsWvN44bneS/HgNLiuF5XdoaMwk3uDFvy9J/mkHiJzegGtcAsPjkGjzorFwhZK4AjH8oRbMsjjMAuYa6FkumlQmjfs8BF01NDT4aYr6KCIHoyv9UVL4MPH3834z6cBfq938YLufH2338/dGq/fw7EexbptFNKGYMt6mKNdhWqnNjv0mew6cWHQUi2l++csET/zaoKFh4A+lC89wU1fbgm33nZGqCoPqSoNJkzW11YrWVheXXhkhEDLZtydBTVWKklIXc8720dzs8Nrr7SeUj9FGHevADEKIo5IaJNGP/h4ohuNGfCLHkLf1p6ahL/eDgxMkEmnKm9K91gePoY/Ex+R6HVzHf9+aW+jQmrBZX21QGNQEDquc0V0/fl8byptLpt0ADmQHG0jWekhEPZjlNsFQlJDaiz3TjbYg1eSmIqOIWCxAQV4VU+LbmBDbR9zjZYW6hJ3pSST9YHsBE+bkbGBC3i4yfS14vWmCCS8JfwQLFzHSNJNkhs7qt/ZoZZ2bF6s8hF0OKQ1/qPDiM+PMDKcHfKVFE4pDxyGxLLBtSCTVCV2x8bimoVHT0qJobdNkZx/njg6TmaXJiDjs3GEQDGkyszRFJT4uXmRSVRknlU5SUmyglCIQMIhGNVpr1BGq2MZSH6S6ylri0ThZmQG8XtfgH+CkfmcpgzSIvkmAJPohfZDEWDJ85e7xWHg8g3XrlOt1cB3/fctlwiVlNqaC9TUG3iQUBHR3MzWvApfSRArjZLlq8Xli2B0GVkaKuPLQvjXEuIUVqGyHyi1FWEoT8LaTO6uKUKAR3WwydetOJtftYat3Ks+k/4FYTgbFOZVMCu8i4G0ngRtXOkm6wsXeVBnjdRNlvhoUW2ngDDxYzNJZzKb/yGJji0WGy2Gcv/OhbHOrye52g1nho52Bj00rtflwu4umVkXQrymvNsnJdBiXb5/QFZuZafDp29wc2OdQVnpsDVjmz3Tz921tZOeGMA4bJaKoRHPNP9hUH3DIydPk5tv86ekob6+I0dGWJOjTBM0UJBy0o7noIn+v4Ggs90FqbWwllUgRzMs49hE2pQ+SEH2SAEkcB+mDdPI71cphbA03Lo7H0e9bbhMunWBTGNKsqjDY2aSIeCHLq/EYUGBAVZ6XCZGN+PMc0gkPaceFy2fjM2L4Ax1oneaCqavJ9jbgMlOkDBcVThG61WIKO6koKuQPzf9AKKeDuRPWcGFwFQXuarKcRmL42Oadwkc503HqMogmI7iiXiZmVeJN+ajuGE+77WK9qSn2OBR7nF79jDyGJuF0BhBag607hzM/3JGuyLmnp6iqN/hgm0Vtk0FOpsM185Jkh0/8KbmszMRvHbn2pi8ZfoXHckinbFxu1evzpRM1pRMdQPHaywme+U0bzY0JHK0xlUFm2ODqK72UlLiZO7d3R7NT9ht6yvdBkoliRd8kQBLHaLj6IJ2yd+tR4lQ7/0N9TYuRNfB7iqFgRq5DUchhS53BlnqDvS2dEYZhaEwzBIEQrnAjVrKdRMKDJy9ORn4LOdQyKbCbXKMOH3HS2qJBZ7KbUk7T5bRZIbbYp+P2Jjh93EdcHFjBJPbhT3WQ0F5CqoFi501CWe283rQYGxcJ7eW5yjN4v24STakAcWXjslLkeZPMD2nuyIGIO4WJwoeL+TkpDlQYbGg1iHui5EUcpkc68+5oaEsoQh59xElk3S745GUJ5s1O0RFXFGTbBEbB9DoLZrnYsLuD9g4v/oCnjyCr8/eN61M0NiQJhyEcsqitNaio1FxwQZBx4+SxRwhxdHKnEMdotPdBEkKIwx37PSXTCxeWOMwpcNjfqmiMK6rbFBmJEPsM0IaBvyCG1gYoReHcCiYHdpNHDRmJVpx057xQaVce7oRNQbqGjR0zqTdyKMo5QKG7iolqL34d54Aq6ByEQSvy1QFmqs287z2fhDeLP3ZMYm9rHpmGgc8bQ2mbmG1RHnPzp3SSzalWLi+qJtNtc7rOYXYkG7fp8KLdTK2nnbDbYYflIy+VxXObvOxosJicleamGQl8R+muUpDTd9+JeByaWwwyIw6egU0rdMLaOxR/fMVNTZ2f2bPipFMdBDP6HjnSNGy04+B1G5gmOHZn0GcP4EX+YLyecxxNPA5+/9D/LautqCURjQ/5cU5e0gdJ9E0CJCGEEKIfPhdMyT44RAOAi2oVYUXGeup8BklMoukgeeFawlYL7niCtGOSxIVKava7Sgg77QQ87Zghh6DdTsLtwZWOk200Up/KBdPA1gpT2XS4/GQ7TQQyO9jXMYXythzcpkPSShHTilzTxG05tKRM2mz4IGqimjM4K6+WRlVDtvaRF3IRVm2UYKEw2ebE+aDS5C+7fIwP2lRUuJmWl+bcomNv+lPfoPjdc14O1BiUFDnc+sk4kUFoenc0m7eb/H29G9PUoL18/jMdrNvdRjAcxLKM7kEXGhs7uP0WxYb33OzencAwbIJ+uPwyDwUFRx9I5URDmqYmzTPPOFTXwJw5cPVVBqY5SIFSH9Fba0MLqWSawoIIAf9xRqvSaEOIXiRAEsdB+muc/E61cpBr+uQ3eOVQoCcxpyWbF+13aXArcBy0y8AkjYHGwUA5mrRhUq/yGEcFHitBJK+JmdGNfKDOoimVBYDfaKfD8YMJhmHjJ0YjEdIug9aOHOIpHynDRTxhkADqDAj4UigrRSxpEcRgd1uASKYH5YoRpoWLycGDQTOdI9dtTlrs9GgaiuLsKPeRqRX5+73khmJMCB397fahZ27jFostOywmlNps2m7y0RaL+ef3Mzb6IAoFNUG/Q1uHIjvLIRxUXDTT5JlXWvn1Ey7qaxSlEx0e+iZMnWmx7IkQv/ylRVOzzfnnmnzqU148nqH/Hq5fr/lwgyYvT/HWW5qZM2DChEHa+WHJT8aTOE5n+bndFkaf87Ad+35PLVKDJPomAZI4DsPRX0MeKkfWcJz70VDGB9MgfZBOfoNbDlOJUNDYwlM5KRpcfpK2iW1ZOJaFWyWxTROtLCxStFpBbEORkWwm4mqkPDCelliEzdGpnOdbi6lsovgJ6A6C8ShrY2dBOkBbNAtbe9FobKWwgZhp47gT+NxpbO0hgYdEGtJJRa7LYrdKEdbtnKczWKfaadKacieEztB4J8ZRXihtchF1DFYccDNh6tGbZx165iwTlNJEowqFwjr4FDHEX+dpk20+88k4LW0GM6akQUMqBc//1sP+HQorYPL2+y6+870Uv348id9ncMdnA0QiUFJy5Elzj1sfeXa5wDCgIwoul8I1SKNu9zXxb1NtI6nE0AenQpyKJEASo5Q8VJ78RkMZj4Y0iLGqOJHLXQceZXnpuTS7IrSoEF4zhkspAk4MpRwKdDXrPbMpa9/J+M0fUOGfxGVlr/JezvmsjC/AdGxmeLeSSTM6rdibGE9bg40rXU3MNtFAUitspTFcDsG8JixXGtO0cXmSOG1+UrjIxMd0AhiYbFMxpmo/N+k83sfhDUOhYxYuR+MKpykxDFTUOK732medkWJfhcHecpN55yWZPaPrAX2Iv0pKwelTeo44duAA7K+AcSWaqqgL27RYvU7ztfscPljvpqXVITczzfwLHe7+kkNWZ6Udtg1pGzx9TCV1THFeHxuefbaivl5RUQlzz1aMGzc4J6avAC9/fAHegI+qPQdoaGzHssyhmQfppCY1SKJvEiAJIYTootFd3Uk6H8gkgDwSO5HN+GQLlze9QVskQANZxA0vytTEtJdY0oup0njtOCs/msw/dGzhNPcOmnZkcoHbocpfwB6jjNb2EIVWNbXefHZFSnCpNtR7NThFCWJOAAwHrRSWO43pSpPo8GKZDgF/Ao/Lwa1cTHEFCHYFD7Wk2E2MEjxkojjN7VCtkhhuRdAxcdcrcr0OCwqOvfYhEIDbb0qQTIK777lq+6U1NNbUkZWfc8zH7UtODkQyobJSYQXT2EloTho89moQp96GRgsSFm+uTLNzZ4pfPG6z84DJy3/3EE3A7ElprjwnieuQJ6ETveJ9PsUnPnE8k0YPQB/RWzg7TMOBetqa20gkUpiGQV5eBsFg57CDDQ1ttLREycoKEokEuj8n32whjkwCJHEcpL/Gye9UKwe5pgHq6jqIRhN4XIpQhg+f39NrUs6xawjKwdE4zdPwBndQl+nC6kjR1JLJ9uYpxJwA6YBJONLEWTvX8GpNIS9mX8ZF1hYyw1FMN+Tb9VgqTcrv4iNrJm/756EMhxnBD4g4uwg6DTTqbCzHwDA0ylFo3RkoWYaDoRU4BuFwkoD745oVHwb1qrMZ2hQU1ynFWo9D0AMXusEVihF2azI9Axtcoa8zd6zB0UHpVBqXe3BqOUIh+Mr/dvjRYwbNTSmK8uAj/OidKWjuClK0STxu8OwfDG68OcaHDR6a2w1Cfs1r69zkRRzOm54elPQMuX4u3wkzJlKxaz8drR0kEyn2VzR0r9MaLJdFbX0bVdVNAPgCXkKZIVzWwAM5jcYcknaKI03mQRJ9kwBJHAfpg3Tykz5Ig2ek8zhwXq+FUpCX4dDWEae9HTIyRsEEOINi8Msh7c/HaS0kubWBrGgzWyfmsy9vPPX+XGyXQbGq5LIPV7JzXyFnP/43qv5hHsvPvgDvuDCeiIuw04JjGNR48mh2RTC0TbsTpNpVhHVWmMn2Tqpay0jFvJ2DPqQ8GK4A3lAMQ4Or3YvfrZkciXJovOIAFdriCUdznoLzlcn5B2MhCxjAwAyHGtCZO8rXWWuId0SP6bgDOd4lF8PZZzms2mjyhUf86F1paDZAaXAr8GpohVjM5N13FOkSg5I8G68b6lssWjpO4AXAMN7C+uqDdDANylCUnDYegPoD9cTae57ncE4E7Ti0NrYS64gRbY/hdZnkFGYOQ8qFGJskQBKj1Nh5qBTHazSU8WhIw+gRCnkJhaCuoZ0Mj40y0sRiSXy+46wuOMmlAkW0F55PoGIvzpt7mF/xd6YXbKc2M49Qsp3JFbvY5pnCvtogVqZNYFwaa3wLNeNL2e5MIKJaup6xNRZpLGUDmrg7SCScIjudYnZOOTsr8mnvCJF2DKJNGThRD8X+JDkZSfJz2pjlSXHwMV+jieJQ43jZpMEETj/0Mj/kob69a71vML4GR92HprWphYzM8CAcrOfx/AFYtc9L1Dag3QGszox1NxN10FoR8BsEsm12Vpr4POBxawqyegaLJ9oHaaj0W3lz2PKcopx+8xDOiRBrj1FbUUNHazvNzR09mt2dmqQPkuibBEhCCCEOo8gKGRRmwc4DMVraHEIh70gnavRRitj4q2nM8VKr/z/ihoG2MvA3x0jGPbwWWsgmZwLjNv6Fxt/dRkdREQpwdQ2/bWsDUzloFAoHw9EoDV6VwPa62RwtI4Vi5oxtkAhT35pJ1HEwzRQZCkozk8z2OJTwcVO5BtJkYDITk50K5hz+pKygyoEVtmK3VpjAGYZmgakJDcMDvy/o73O51po9e+KEwxbZ2cfWBM9xIJGGnExNg0d11h5p1RklJDvPjc+n+cztNi6/w8oNLtqiitmT0sya0LN53cnwyuRIefAFffhDAZrrm6muaSaRTJOfN0hBqxAnEQmQhBBC9JCd7aeiOUbKTmOZGqVtbNvBPN55Vk5myiASuIQK+3HK36ihfnYOTlExyu1GV3aQ++4KghktdGSAQWcNRYhWgqqdNidEiDZMZaM0NDsRAukYAbODaquIuMdEuxJUxX3kJgxKPXVUfBQgnN2CKwTmfjdlExTKVCRxqCeFg2KBzmCW4eKKriSmHEhoCBjQAvxP2mC/VhQojQ38zTZo0JpPWw5Gf0/XQ9ycrLw8wdNP15CZ5eLuLxUf02fdLrhmbpINOywaK03qam3oMCEJ2AqXS3PXXUnGl3RO+HvLJYle+zg8e6OhAfBQySnKRSmo3FVJOtXVP+ZkzvARaYa+hmfoJ1IWg08CJHGYsXCXHAtpFKOHXC/HThEO+znQ2EFxRDMxz2Z/Q5S05cXjGY1/Nka2jJWj8AY8nB7ZT80fdtNsZZC2XYQ6WshzN+O+fhJJu5EmckgYbgytKTHK2atLaSOEpVOYdPYzCqbaCagYqZhFwvLipE1spWhIeEhuzMVfrohMSJMVr6Hd72K7Y2KbijiaCBbn6ADT6ew3FnPgrVY366IWcQfGuR2CgTT7LYfpSncHQwE0Wx3Yp2HCAJtyDbbMTIvCQjfjxnmO+bOJBBhtcP20BJODFgfOcFj3pkOsAcrGOXzmMzaf/9yRR+zro6Jt4MbYLabPESrHUPpPRcuWLWPFihUsW7ZsRI6/d+9eJkyYwB133DFiaRhuo/Ev3Shx6B3vYPQ/mu4gQ/W+azTlsT+Dlcax8M5wqNI0GvM6VE6VfMJQ3bcKswz8Hs3e2hgdHW4CgWN/iO2dvr5+P14jW8ZJE+ryy5h2zWYSKoG7IoHR1obKdFEz+TzWzVlCAa1kOM20qEySyoVfRZmuthLXHkwcAnY79fFcvFYCl52mMZVNfToPw0jhstKYARtd6lBTHaJ9TyFljR5Om7WbGiNJbSoHQ3vJNyzWmkkcOligg/yx0cuqNhdZLo1XaTbFLGpiFt5IAsP/8chaAdVZw9SqFSP1tjsjw+LOO4uO+XO2DX9c7uHtVW5aO6C2VjFlks0jz8UoGQevf+BizVYXT75ict28BDkRzdZKk51VJn6P5pzJaUK+E8zzIF5+p9KdeXQ4ufog7dmzh4cffpi//vWvVFdXE4lEOP3007n77ru56aaburf78MMPeeyxx1i7di2VlZV0dHRQXFzM2Wefzde+9jXmzp07bGkerSRA6pfq59+jxQm97xLA2DiHQ5Wm0ZhXceIG974VDvuoa49hVaWZUGAybZxmb02CmmabcMR3HMcYC9+5Yxe3YzQXhGmozyb3hnr26+msbZrFq5Hr2OuZheFSTE1s4Vrf82SoFlLKjYGN10jgIoFLp6hKFeExk/idGDHHQ4s3A0+qg7ThBg122sQKpTGnp3Fa0mTO3k1rZpJ3Upm4tMJHlKaUn3YjA9vbSjrhZX3UxQSvQ9DsDACyXTZVHSaVHRZpn43VdfpbNfiATDX2mgIdqDJYs85FXQu8t9akusZgxdsWb690+N4P0rz2kQePS7O21iLo08yelua3b3ppjhqkkrC9PMXnr4xjDtHURcfq5PhGiMFSW1vL66+/zssvv8yOHTv42c9+xqRJk5g3bx6hUKjHtn/729/4xCc+AcB1113HxIkTaWpqYsOGDbz66qs9AqT333+fl156iQsuuICFCxcSCATYvXs3L7zwAs8++yxPPvkkt99++3BmddSRAEkIIUSfTNPAwWBLuUMipZk+3mJKsSLoTbO7tgNfwItSCusY5lM5GdWufJHktEq2l2cyLVnFumsX8FH+bFpixYx37yPZbFFeX0yVk8+c7HU0kkNU+4kZPmL4iMb8NLXm4E9G8Rpx3jHnYWe68Os4UUwcDBzbwLEMlAWhcBvuSAylbPKt/cxSu8lVdWigOn06Nam5fJi2STp0B0cHayZOczmsS5tstBWFpiatoRk439CUHOnpXHfuY9UqKC+Hc86BSZOG+sweXdqG6jrFlu0mVRWKVNyBlMP6D93869cM5t0ABaWatqgimlCU15vUNijq1jusfsPkmbiH5eda/PD7UaZO+fhN/2iuyYlGNa2tEA53Tkw7KEZzhk9RTzzxBPfeey/t7e3dy+655x4ASkpKKC8v716+f/9+brzxRoqLi3n11VcZP358j32l0z0HI7n99tu56667eh1z06ZNzJ07l3/+53/m05/+NOqknPtqYCRAEocZC3fJsZBGMXrI9XIiMjJ8WJZJLJWgqU2TGVIU5xh43Q7lte3Y2iCW8uHzDc7kn8dn5Mo4He2g7ndP4/mSH6uikQPlJhsvn4FbJyiwqgkmO/BHYmyxT6O8poyyjHJK7HLKD4ynzsonmXBjKU2xr5KORJCV1ZfxoecMcny1WCqJx0kQtz0oS6PikK7xUFxSRZnehd+Mk0c12aqVmI6Q1BaTrLVUpy0cYx5apUjg4MHqPjuOVpxjOZxhOWzXCp+CBYbmfFP3P5Q0dI5+dwBefAnq6qG6Bv73l4fjDPdWUaFpa9OEwwpfSOPNgsoqRcpJgcfpHJzBgQ1rHcZPgvY2Fx63Q1mOjcsNG99SrHvZIhHrHHTklZcMduwM8tl701w5P8nZ09Ojsg+S1ppVqxxWvunQ2gqRMCxcaHL++cc2eEq8I060raPnwlP2Fjk6J4qtrKzki1/8IpFIhKeeeooDBw7wzjvv8G//9m+sW7eOl19+ucf2Dz/8MK2trfzxj3/sFRwBWFbPx32vt+9RSWfMmMH06dNZt24dra2thMNHHuEwkUhw22238dxzz3H//ffzne985xhzOnpJgNQv6YM0ekkfpNG739HoVMknDNV9y+9309Jis35XjNOKLcblGmRndP5E4519kxpa0wOYVPbku28l6mtJVTfi29yKEbSJah/Z0VrKfZMp9ezF5Uuyu3wylTsnMKVkN2s3zuXXr3yGafO3UxypxDQ1SeXmnbaL2Fl7GjUdheCD1uwwwVA7hmnjIUW61UXrgTCGhkkZOwla7bTpDNwqSczxgrJJkkG7hkxzNxFzEo1ZVWxxFON0hKxkEa1pk1bb4MZwnItcmrTWGND/yHWH8fs7ay1aWyE7e0hPa58+2m7y6huait1JUgmHuDJIF7pIToCmyRo6LKgyIaOrU1Wzw4t/jHPZNWkmTDJ5400XixYmqN8KiZiBMgwsU5NOKXbtUGz6SOPg5rQSm4zgMTQ3HKY+SFu2aP78Zxu3R5GXBw2N8Kc/22RmwtSpAw+S2prbaKptwu93yzxIw6i1tbXH7x6PB4+n7/6c77zzDqlUin/5l3/huuuuY9myZRiGwfjx4xk/fjxLlizp3lZrze9//3uys7O59NJLWbt2LStXrsRxHM4880wuvfRSDGNg18euXbvYtm0bJSUlRw2OWltbWbJkCStXruQnP/kJ/+t//a8BHWOskACpXwNpyz9cD5l9Hedka8s/Eg/sx3sOhzOtJ0MfpIPnaywEZWMhjUcydPetYNBDq6PZuDdOe9xk6jgTpcDnUUwuVAQaU+ysscnJCdB/eZ989y0rFMYdziK5chvmklwsO4EZixEJNZOIu1lTeT5NdgT2GjREM1n3+lya54WJ7wrycvJa/JEoUSOAHXFDvGu3UYjGgiTrfLg8SXRakWz34miTbHcdXhUjrr0oBY62aMWPrSxsbeJBYyoL22jhdH+ALVGLcmqodHxkpHO5KJTk/GDniG7WAE//wZKMROCOz0JNzQCa1w3yV2l3ucnPfu3hvffhtBLFJXPj/Pk9i8b9afIu7Qpm9lqdQ7S5ALeCkEK3+/hobYzFl6WorLFYv8mFT3XWlrktB8uCdFqhHUUiCaYJA3yWHBKHnjLb1rz5ViMtzYoJEwJs2KhIpmHS5M6tAgHYvNlhy1ZnwAFSY3UDtRU1AHjcrhMYcOVkMXyDNJSUlPRY+sADD/Dggw/2+YnMzEwAmpqajrr3PXv20NjYyDnnnMOXvvQlfv7zn/dYP2fOHJ5//nnGjRvX67Pr16/nT3/6E6lUin379vH8888D9NrH4WpqarjyyivZvHkzTz31FLfccstR0znWSIB0Qsb6Q/JoMpbyOJbSOhqow/4/mo2FNJ6o48ujaRpkZvqIRHw0xZKs2xVncpFBY5tma4XT1UfFob6+g5yc4HEfZ2xReDKzGHfDrWz77x9jbW0iMCWD0K59xIty+KjxTBIhD7oFqHLY+/cyooTJnV5P8iMPdtQD4Q6MpIOdBrxAis7gokOhvDbjU/sZ5y3Hn9lB2mURTXsxrRRtsSBWULNZTccAbGViGKBwU0oRWlsUWm6KgrDd1mS7mpmvgoxzO0dsSndoXOM4sLvapC2myAo5jM9zyM+H/PwBnZpBlbahrQ3StsIfMFBK4Q8b1NfbHGhTUGmAqaAMyKGzmd1eBe2KujaTNzYqTi/SWCacdY7Npq2QSCpSXec7kulwyYIUl56XIujvo/ZoBN6dvPdeGw8+VEsqaTLnrDQdbRY+v4/OGbU6KQXOIS24NJ3z5B6e1lQyjZ1KE4/G0bZDXm4GOTkZw5EN0WX//v1kZHx8zvurPQK44IILKC0t5dFHH8W2bWy7/2Z6tbW1AHzwwQds2bKFJ554giVLltDS0sLDDz/ML37xC2688UZWr17d67Pr16/noYce6v49Pz+fJ598kkWLFvV7vF27drFo0SJqa2tZvnw5V1xxRb/bjmUSIInDjIU36GMhjWL0kOtl8CiUAr/fQ3s7vPVRlHDYR2Fh3+3Zh8/IlnHx9Z+kaYabrf/1E8a7GpmWvY698QXEVACnQ6FrDZSdonVrJsZpBjRBuzsAGtJxN3n+aqqihTghT/dssq6aFJec8RrTMrZi2TaZgXqU5VCfyiaa9mG6TFrUOFAu8qjBRyuoEClmkdQ5GKqBFDaGoYgYaWZaJiUDeFN+aHD04vtu3trkJpGGoFdz5dlJFsw48nxCR+I4ms2bk6TTmmnT3LjdAy+zyaU2F5+bYP9uk4g3hVJQEkqx1fTQ0W6CS0EuUATEAD8wEajQ2IZirW2RS5qbz0jjPs3g9c02B9abOA7kZGt+9+tWLrnkCH1FjjKAxWBffps2JfjPn3dQWeGmrMygrNRi7do0zS0JSkossrKgoaGzxmvy5EMCpj7SGm2LUlNeTWtjK16Pi8KCCOGwf3ATPGYNXw1SRkZGjwDpSILBIMuXL+euu+7iBz/4AQBKKVavXs0nPvEJvvrVr5KXl9e5d6dz/7Zt853vfIelS5cCnbVQjz/+OBs2bOC9997j7bffZv78+T2Os3TpUpYuXUo8HmfHjh388Ic/5KqrruL73/8+//Iv/9IrXVu3bmXevHnYts3rr7/OOeecc1xnZCyQAOmIxsqD1WCk8+A+xkJ+x0Iaxegxlq6XwfwuDy2PxyInJ4jXe7yDM5w8962oK0b8rFyCi8aRWZmkHRdZbVUYnIHhNjm7fS3netbgmxrljfrL2PyH6UQv8EEGxJr9aDeUWnupaC4l5fWChomZu5imt3KgsohQZivuSBQFZFnNGCYkvAG8SpFFHEUYLxMpoACNSZuymUgG9XSOflVMiIJ4NmsOWLRGFRk+zbRim6C3Z03JoSWys8rkzU1ucjIcMoOaA40Gr653M7U4TV5E9/mZo1n9d5t33mshbcNFC3zccENwwOfYMGBSmcLtdrF6naKjNU3KgKKJbrRHUzUOUs10BphxOoOkdjpT5zKJ7oWc+Q5zZqZZv83LDQ/bhFtTbGswuPuSOAtKPw6OjvnKHOTLr7nZ5o9/6qCl2aG42IPjwK7dKYqKDCwXxGKwdasmI0Nx+WUGM2f2n4Cm2iZqK2qId8QJBb3k5mbg87kHN8FiSMycOZPVq1ezfft2HnvsMV555RW01nz/+9/nN7/5DR988AF5eXk9+gpdf/31vfZz3XXX8d5777FmzZpeAdJBXq+XWbNmsWzZMurq6vjXf/1XrrzySmbOnNlju+3bt9PU1MT8+fOZMWPG4GZ4lJEA6YiOdtcbyT5IhxrbnZw7jZVgFMZWWkcD6YM0cMPxXR6cPLpcJi7XkYb3PnXuWymVwqEJ7+WFeH61mxv/+CZNC2azsaOFK7e9wb+++gCBeBuvG9dzIFzMruqJtCUjEABciqZoFsHmdvL9VTTGsombPsbn78NOmiTjHnyeKAaaRLObgDeK158kpSJ4yWIiHjz48dBZI5BE047DTF2MiyQAsYYgv1kdYG+t2d3+any2zacuiFOS8/Hb80PPZnuss79LZlCjgdyww+4qk/a4Qd4ho3L1WwJ9FP++fZ37CgYV23ck0VoPfBhhDeEQnH2WJtahuPwCA8tvsLoa6tscJl4W54nnPdgJE5IatmhoAmwNUYO2vxv8rtHFacrLuLNs3tjvpso0OHNWmul5PWuORvqqam11aG11mDzJzcaPkqRSmsqKNJMmufnE9R4mT7ZoatJkZSlycztTq3XnCT94OrXW1JTXUH+gDjttk50VJCcndMoPyd/b6BzF7lBTpkzh3HPPJRqN8sQTT/Dwww9z//338x//8R888sgjTJ48GdM0sW2bSCTS6/MHl8VisQEdb9GiRbz00ku89dZbvQKk66+/ngkTJvDggw9y7bXXsnz5cvz+k7M2UgKkEyJ9kAbPWMrjWErraCB9kEYXuW8Nns48ehwPbsfC47N57Z8/SdtLaznvd+9jTIvxD088Tnt1gn3kssJ1Lm9G5lFvFEK7Az4HDINUmYtYi4tkjYeA7sBHB75UO1YyjWq3CaTbyUrV44qkURakLDcRDFz4cRHGc0iflDZsfBhkahdB5cF24PG1PvbVGUwrTmMaYDuwrcrk+bUevnh5jIPPzF3P2CggM+jg92iqmwxyMxwq6w3CAYdIYIDNkfoo/mlTDeqaFckknDnb0yM4isU0Hg8Y/Q2pp2DOzDS52Q6hgCYS7szz9No49a0GjTUGvjbFb/9o0bjdgAQfD+SYBto1VdtMvv2on8WLkyiXxlCK0hybHN8hNWn9xfXD+O4kK8skJ8egotKmsMBkx84U4bDFoiv8nHuuF8tS5OV1JiYZT+LYDpW7KgjnRAiGO2vlqsuraGlowTINigozyYwETo2v5ElOKcW9997L/fffz+bNm4HOvkwXXnghb731Fps3b+5VS3Rwu7KysgEd48CBA0DvocEPeuCBBzAMg29961tcc801vPjiiydlkCQBkjjMSL9BH4ixkEYxesj1cvIb2TL2O36y0hNoUWEmte/lpauupNJXwqKnnsauS5CRCbspY1d8Ons5DSZoUA74NcQhvctLLN/AO62dZKMfkrC3rZTJuTsZF9lPceAAbiuBYTr4XXG0CpKJH1N72K/S5GHix6AVh2Yc5mk/QdUZQOyvN9hTa1KWa2N2xVGmARNybfbWmZTXm4SDDu/ucbG5xsLv0swdn+ackhSLz0ry2odudlSZRAIO15+XJCt0DMNfH2bOmSYzzgyTTkNp6cePH5s2af78Z4dJk+FTNxn91iopBSVFPQO0sjwHD/Dn5R4y/JoCw6E5ZeBo6I720KA1TkxRs1/x9nsu/vcX4lTXG+zZY2LbnX156PpI3wc/QsYG+fILBg1uujHEyy930NxsctVVfhYv9uPoKPX1Ld3bWTjUV9SQiCUIBjzUlldRmfq4tsLvc5OXm0EgONJ9BEez4euDdCw++ugjwuFwr5HvAFauXAlAcXFx97IvfelLvPXWWzz44IO8+OKL3QNAbN26lWXLlhEKhbjyyiu7t3/nnXc477zzegVB69ev5+c//zmWZR1x8IVvfvObKKX45je/ydVXX82LL75IIHByDRkvAdIRjZUHq5OnLf/AjIU0itFjLF0vY6cP0ok7ue5bJYnJhKyLCcd/T3bVC7SpALl7tqAAw4R02kWlWQb5Bvg1obxWVMyhNZwBEYWdMuloyUCF0piOw46WqZTUV3DZ9L/hdiXRbhNcEMNHhDjTyGQKubyro+xRKZpJ4cfkfO3nHD5+m5tMK1I2eFw9z7jHBck0NEVh+TYv2+tMsvya5pjif9Z5aI0pFs9KMnWcTUdMkRl0yM7oHRylbaitAY9nYHMjlZT07rNWW6sp369xexS2Df28uO6TBmIJRSyuCPtskjEL0wLHVh9n1uhq4muDHYfmJoMd+wxSKcXsafbHwdEh+xyOPkjbdlR9XMvVh8suh3RaY1mK+oYO6upbse2PH7ZdOJRk+8iO+AkGvSQTKZKHBkh+Nx7PSE7gLI7XmjVr+MIXvsA111zD/Pnz2bZtG1u3buULX/gCTz75JD6fr8e8Q7fccgvPPfcczz77LLNnz2bx4sW0tLTwhz/8gXg8zpNPPtk9dDjAP/3TP1FXV8e8efMYP3486XSabdu28de//hWtNY8++uhRa5zuv/9+DMPgG9/4BldffTUvvfTSSRUkSYB0RCP/R3dgToa2/EKIU+u7fHLl1cQkO72AItyomp/jr3qH3fV+bFsRi2oCZhNx5QevhnGKvJk1jDPKWbPxHDpiGRACDIWucZFuV9gph3daL2T6xM0U5hzA4wIbC/BQjIfJehxtKPLxEdEeclHkYRLiYHs5QEFeuLNZXF2rQUHk44frulaDzIBDU8JgZ53J6fk2ltH5sdo2g9XlFueVpSjMdCCzxy67JZPw3HOKDzcoPG7N4sVwwQXHXsN0zjkKl8uguFhhDXRypi4KKMy1mTTe5t33LTpiCssCJ93Z/Uh1xc9ad2VAK3IyHQpzHfKyNFfNT/TcYVfyHT3wfKTTNh9uLD+mdAPEYomjb3SI6SVhPK7OasCtFa3EEhAI+cjwdwZBLpfJyfN4OlxGZw3S9ddfTzQa5c9//jM/+clPqKqqwrZtKisrueaaa3jooYd69A9SSvH0009z4YUX8stf/pL/9//+X3fTu/vuu4+FCxf22P8///M/89xzz/H3v/+d5cuXY9s2hYWF3HLLLdxzzz1ccMEFA0rnfffdh1KK++67j6uuuoqXXnqJYHDgg6+MZhIgnZDRMkjDyWAs5XEspXU0kEEaRhe5bw2e3nlMWOfhnDadfdY63t6eRX7R77mw9jGKjJ2M9++iMnsKGBpvRpxwXgMZoXaMSk18h5dUjQ9iCuIOeGxUsaYplEGBq4lGu4gJhgu3aiRIFh8QZq2KE0ejgBJMrtOH/EnvSlYkoLlwSpoXP3CTSBlk+DWtMUVHQnHVmSkcFEopLOPjj2X6HPY1mbTEFBGf7reebscOeO/viqIiTXMzvPoazJoFwWCfp6ZfwaBi/vyjbHyE/fm8cOu1cYpzLWp3eVm/TtGaBjul0LrrY3bn502PZv7ZMe7+VHP35zs6eu6vqbmD3XtqB5Z4OoMw7xEHLOnbBdNyj2l71f0fMAY6mZUYk7Kysrj77ru5++67AVi2bBkrVqxg2bJl/X7Gsiy+8pWv8JWvfOWo+//MZz7DZz7zmQGnp6ysrGsgkN6+/vWv8/Wvf33A+xorJEA6ouEYhWkghmNUqpG+o46lu/lYSutoIIM0DNxwfJflvjV4+j62NoK4c88h7g6yYfJs2ud8mvH7v0dZqpJVEcCBeMJHmx1GZWty86pxneFAFOprcyABoWAr3sw4VRnFjIu3ETTb8Rg2GoOYPoO1yiCIogSTFJrd2LxPisX0nnzy0plJAh7Nqh0u2mKQHdRcPSfJeZNTfFBhoYG009k3SQFNMYOg1+kRHPXFtjsHfPB4wOXunDvJOfiyfLCL5bD91db1bG4GcM4s+OT1fg7szyQWdZNKKhxAO7rzUrE0hSUx5p+1hTUf9D+il8dlkhfufxLPw5mGYkJB11vzYbisG1oTpG2HrJAbl2n03mCkb2Njimboa5COv9+eGDkSIAkhhBCDyDQNMjP9hDKg+oCiMns6q/Z8jr0pYIaGVkVjVTb5eRUYHpsUHgwriQo5eHxJMnzNWIkUlssmpjLZ3H4ZlqsJvO2M92ZgMpEYNiVdzelcKDIx2KNsHK0xDntCNg24cGqKcyaniCUUfo/uHrnu9AKb03LSbK62yPQ7pGxFIg1XTU8R7gqQ+nPaaTD7DM2mTQqPBy69VDPAeTD7dLQ+OYc6vD/OQSUlJpdd0s7fXs9jf7mfWKwzAHT54Yyz2vnmvVXMmWHR2aaxb163STgw+vru7KvtIJV2aGhLUJjlozDTh8vqI0ASQpwwCZCOaKy8hjm52vILceo6lb7LJ39ep0zXbN8M2+pMDoQnEtqxDndzG0kng+YPsjiQN57siTXUpYtox43WBh4rhps4DgY+dwxv1I9WGVQmw4SNZuZ5MgjhQmGTRmN1nYM4miyMj4OjPmohXCa4/D0jkKBH8+mz46zae3AUO4e541PMLUnDYbvQXf852NTG44HbbtXs3w9uN5SUHFKDBNiOw/oP9338eypNeW3/NTfH0ifn9JIwblffwcE5U5PcfG0dH2z0sr/KRSigOHt2nIvOjeN2aWAIR3Ubost6074WWqKd81pNGxcmEnD1PyS6OAajfx4kgKVLl7J06dITT4oYMAmQToi05R88YymPYymto4H0QRpd5L41eI6cx0lTNbPPht++BvtT4/EGDSIbaqidGUJvMtkXmExhzKJoVjkJ04OhHLx0YKQ1yqUwoz586RBRE7KsNpx2H9nuMMUekxJMdmGThUEMjQOcqQ+p9TiGU58V0FxxWoyLy9Ldy+L9xDFt7XG276jqc115Rc/fFZ21MQeZhupsl9ePC6bmwAAnjj20P87h/B44Z7bNObM7+t7gSEbpZRtL2mgNcyZm4vdYwzrsuBCnIgmQjkja8g+fsXQ3H0tpHQ2kD9LASR+kYzO671suF1y8WLPXr6laDbW+MqxgHOWOogmg3zc4sH8iresymXDlDgJZUXTSIBl1k0j4yQ26SIaSWEaC/IQHb2MxngwDv8fhWu3h76TYp2wKMThTW8yg90ABDY3tJJPpPlLXe7uGhrajbue2jAH3zzGUYmLhIPbNGQ6j4ZI8wj6UUkff/1g4z6PG6BzFTow8CZCEEEKIIeJywSfn2ezNtnmtXJNIdg3EnADKgRpob8tk874zyZ5XS6S0CU8ggTeQxhVK4XbcjO/II7c1QnvKi8eIsWNXNY6tmQSUAQadz8Tb+zh+Y9PAAqSskJvJhf33yznIbRlkhtwDzb4QQoxJEiAd0Vh5DXPyt+UX4tRwKn2XT528Znng1hKT6rY6dlSGaWv1Q8iAAqBJQbPCbnJTe6CYuokF+AqinFnWQlFunKx2hdtWbEomKHO1sC9dSyKe5MjDJ3xscmGIoO/of+pdpjE0Hf5PdC7fsVLzdNCpc1kLcVKTAEkIIYQYYlPCcH5uJmaqhUqrg1jKwvaZdEQC2I2ezn7cPoWuMimpgfOK03iaOgOWZtsARzPd04pybM6Zkt3Zn2cAjtRXZ1ic6LFHW7AwGgK20ZCGk4Y0sRN9kwCpX4fegQ6+qRtNd6TD75Byxzx2Y+EcDlWaRmNexYmT+9Zo5TZhYYFFezIPoz1GdTMcaAxgJ83O5ycfmAmHMn+S665Okp/lJ6kVtQkLv4Lrctq5PNuNUtK8bUSNhst1NKRBiJOcBEj9Uv38e7Q4PE2Dlcax8MAyWGkcqnM4mIYqTaMxr0NlLFzTg0XuW6OXZkoYdImNGdOcN9GmprmdqhYXdhom+JNcMq6DQJ5mU4eHuqSFZWhmheKcFY4zI5gY6ABv4iS2r7aDiQXBfoc4F8dKapBE307JAOngHA4d7UcfsUcIIYQYLEWG5hJ/ExPyk7RkmhhKk+exGR9IcbDV3Hleg5itcBuasOWggLb2EU328TvR2HUsxL7DoCTTRGOwvaKF2saWztHsgEkFwQH1MRspbW2dQ60ffO4abRKJ6ElxDDH4lB6tV+0QqqiooKSkZKSTIYQQQghx0tu/fz/jxo0b6WR0i8fjTJgwgerq6mE5XkFBAXv27MHrHcJJisWgOiUDJMdxOHDgAKFQqPstzHBpbW2lpKSE/fv3k5GRMazHFidOym9sk/Ib+6QMxzYpv7HtWMtPa01bWxtFRUUYxuhqFhiPx0kmk8NyLLfbLcHRGDN662WHkGEYI/4mIyMjQ/44jGFSfmOblN/YJ2U4tkn5jW3HUn7hcHiIU3N8vF6vBC2iX6MrnBdCCCGEEEKIESQBkhBCCCGEEEJ0kQBpmHk8Hh544AE8Hs9IJ0UcBym/sU3Kb+yTMhzbpPzGNik/cao4JQdpEEIIIYQQQoi+SA2SEEIIIYQQQnSRAEkIIYQQQgghukiAJIQQQgghhBBdJEASQgghhBBCiC4SIA2R7373u1x44YX4/X4ikUiv9R9++CG33norJSUl+Hw+pk+fzo9//ON+97dz505CoVCf+xJDYzDKcMWKFSxZsoTCwkICgQBnnnkmv/3tb4cpB6e2wfoObty4kYULF+Lz+SguLubb3/42MrbN0Dta+QF8+ctf5uyzz8bj8XDmmWf2uc1f/vIXzj//fEKhELm5uXzyk59kz549Q5dwAQxe+WmteeSRR5gyZQoej4eSkhIefvjhoUu46DZYZXiQPMeIsUQCpCGSTCa56aab+NKXvtTn+rVr15Kbm8tvfvMbNm3axDe+8Q2+/vWv89Of/rTXtqlUiltvvZUFCxYMdbLFIQajDN99913OOOMM/vCHP7BhwwbuvPNOPvvZz/LCCy8MVzZOWYNRfq2trVxxxRUUFRXx/vvv83//7//lkUce4dFHHx2ubJyyjlZ+0PnwfOedd3LzzTf3uX737t0sWbKESy+9lPXr1/OXv/yF+vp6brjhhqFKtugyGOUHnQ/g//Vf/8UjjzzC1q1beeGFFzj33HOHIsniMINVhiDPMWIM0mJIPfHEEzocDg9o27vvvltfcsklvZZ/7Wtf07fffvsx7UsMnsEow0NdffXV+h//8R8HIWViIE6k/P7zP/9Th8NhHY/Hu5d973vf00VFRdpxnMFOqujDQMrvgQce0LNnz+61/JlnntGWZWnbtruXPf/881oppZPJ5CCnVPTlRMpv8+bN2rIsvXXr1qFJnBiQEynDg+Q5Row1UoM0irS0tJCVldVj2euvv84zzzzDz372sxFKlTgWfZXh8WwjRsbhZbNq1SoWLlzYY1LExYsXc+DAAfbu3TsCKRTHYu7cuZimyRNPPIFt27S0tPDrX/+aRYsW4XK5Rjp54iheeOEFJk6cyPLly5kwYQJlZWXcddddNDY2jnTSxDGQ5xgxFkmANEqsWrWK3//+93zxi1/sXtbQ0MDSpUtZtmwZGRkZI5g6MRB9leHhnn32Wd5//33+8R//cRhTJgair/Krrq4mPz+/x3YHf6+urh7W9IljV1ZWxl//+lfuu+8+PB4PkUiEiooKfve734100sQA7N69m3379vHMM8/w5JNPsmzZMtauXcuNN9440kkTAyTPMWKskgDpGDz44IMopY74s2bNmmPe76ZNm1iyZAnf+ta3uOKKK7qXf/7zn+e2227joosuGsxsnNKGuwwPtWLFCpYuXcovfvELZsyYcaJZOSWNRPkppXr8rrsGaDh8uTi6oSq//lRXV3PXXXdxxx138P7777Ny5Urcbjc33nijDLRxHIa7/BzHIZFI8OSTT7JgwQIuvvhifvnLX/LGG2+wbdu2QTvOqWS4y1CeY8RYZY10AsaSe+65h1tuueWI25SVlR3TPjdv3syll17K5z//ee6///4e615//XWef/55HnnkEaDzwcxxHCzL4vHHH+fOO+88pmOJ4S/Dg1auXMl1113Ho48+ymc/+9lj2r/42HCXX0FBQa+aotraWoBeNUvi6Iai/I7kZz/7GRkZGfzHf/xH97Lf/OY3lJSU8N5773H++ecP2rFOBcNdfoWFhViWxZQpU7qXTZ8+HYDy8nKmTp06aMc6VQx3GcpzjBirJEA6Bjk5OeTk5Aza/jZt2sSll17KHXfcwXe/+91e61etWoVt292///nPf+b73/8+7777LsXFxYOWjlPJcJchdNYcXXvttXz/+9/nC1/4wqAd+1Q03OV3wQUXcN9995FMJnG73QD89a9/paioaFAfIk4Vg11+RxONRjFNs8eyg787jjNs6ThZDHf5zZs3j3Q6za5du5g0aRIA27dvB6C0tHTY0nEyGe4ylOcYMVZJgDREysvLaWxspLy8HNu2Wb9+PQCTJ08mGAyyadMmLrnkEhYtWsRXv/rV7rfUpmmSm5sLfPym7KA1a9ZgGAYzZ84c1rycqgajDFesWME111zDl7/8ZT75yU92b+N2u2WghiE2GOV322238dBDD7F06VLuu+8+duzYwcMPP8y3vvUtaWI3xI5WftA5r0p7ezvV1dXEYrHubU4//XTcbjfXXHMNP/rRj/j2t7/NrbfeSltbG/fddx+lpaXMmTNnhHJ2ahiM8rv88ss566yzuPPOO3nsscdwHId/+qd/4oorruhRqySGxmCUoTzHiDFrZAfRO3ndcccdGuj188Ybb2itO4fE7Gt9aWlpv/uU4TGH12CUYX/7WLhw4Yjk6VQyWN/BDRs26AULFmiPx6MLCgr0gw8+KEN8D4OjlZ/WWi9cuLDPbfbs2dO9zdNPP63nzJmjA4GAzs3N1ddff73esmXL8GfoFDNY5VdZWalvuOEGHQwGdX5+vl66dKluaGgY/gydggarDA8lzzFirFBaS09VIYQQQgghhAAZxU4IIYQQQgghukmAJIQQQgghhBBdJEASQgghhBBCiC4SIAkhhBBCCCFEFwmQhBBCCCGEEKKLBEhCCCGEEEII0UUCJCGEEEIIIYToIgGSEEIIIYQQQnSRAEkIIcaAvXv3opRi6dKlI5aGiy++GKXUiB1fCCGEGA4SIAkhTikHA40rr7xypJMyKCRoEUIIIQaXNdIJEEIIcXTFxcVs2bKFcDg80kkRQgghTmoSIAkhxBjgcrmYNm3aSCdDCCGEOOlJEzshhOjHpk2buPnmm8nLy8Pj8TBhwgS+8pWv0NjY2GvbsrIyysrK6Ojo4Ktf/SrFxcV4PB7OOOMMnn322T73v3fvXm6++WaysrIIBoMsXLiQN998kwcffBClFCtWrOix7eF9kJRSrFy5svvfB38ObrNixQqUUjz44IN9Hru/Pk1vv/02CxcuJBAIkJ2dzc0338z+/fv7PU9aa371q18xb948MjIy8Pv9zJ07l1/96lf9fkYIIYQYraQGSQgh+vDuu++yaNEiEokEN954I2VlZaxevZrHHnuMF198kVWrVpGdnd3jM6lUikWLFtHY2MgNN9xANBrld7/7HZ/61Kd45ZVXWLRoUfe2lZWVXHjhhVRVVXH11Vcze/Zstm3bxqJFi7jkkksGlMYHHniAZcuWsW/fPh544IHu5WeeeeZx5/u1117jqquuwjAMbr75ZoqKinjttdeYN28emZmZvbbXWnP77bfz1FNPMWXKFG677Tbcbjd/+9vf+NznPsfmzZt55JFHjjs9QgghxLDTQghxCtmzZ48G9OLFi/vdxrZtfdppp2lAv/LKKz3Wff3rX9eA/tznPtdjeWlpqQb0kiVLdCKR6F7+6quv9nm822+/XQP6Bz/4QY/lTzzxhAY0oN94441e6b7jjjt6bL9w4ULd3638jTfe0IB+4IEHeq3ra3+2beuJEydqpZR+6623upc7jqNvu+227nQd6vHHH+8+H6lUqnt5IpHQ1113nQb0mjVr+kyfEEIIMRpJEzshhDjMO++8w44dO7jqqqtYvHhxj3Xf+MY3yM7O5qmnniKZTPb67I9+9CPcbnf375dddhmlpaW8//773csSiQTPPPMM+fn53HvvvT0+f8cdd4xYX6O3336b3bt3c+211zJ//vzu5UopHn74YUzT7PWZn/70pwQCAX76059iWR83SnC73Xz3u98F4Omnnx76xAshhBCDRJrYCSHEYdatWwd0DqF9uEAgwNy5c/nLX/7C9u3bmTlzZve6SCTChAkTen1m3LhxrFq1qvv3bdu2kUgkmDt3bo9gCjqDkQsuuICtW7cOUm4G7sMPPwRgwYIFvdaVlpZSUlLC3r17u5dFo1E2btxIUVER//7v/97rM6lUCmBE8iKEEEIcLwmQhBDiMK2trQDk5+f3ub6goACAlpaWHsv7G4Lbsiwcx+m1/9zc3D637++4Q+1gfvLy8vpcn5+f3yNAampqQmtNZWUlDz30UL/77ejoGNR0CiGEEENJAiQhhDhMRkYGADU1NX2uP7j84HbHu/+6uroj7v9EGUZnK+p0Ot1r3eHBHXwc4NXW1g4oXQfzcfbZZ7NmzZoTSqsQQggxWkgfJCGEOMycOXMAegyzfVA0GmXNmjX4fD6mTp16XPufOnUqHo+HtWvX9urHpLVm9erVA97XwX5Btm33Wndw1LnKyspe6w42IzzU7NmzAXjrrbd6rdu3b1+vob5DoRDTp09ny5YtNDc3DzjNQgghxGgmAZIQQhxm3rx5TJo0iZdffplXX321x7rvfe971NfXc+utt/bqPzRQHo+HG2+8kerqan7yk5/0WPfkk0+yZcuWAe8rKysLgIqKil7rpk6dSjAY5Pnnn+8xd1NNTQ3/9m//1mv7+fPnM2HCBJYvX87bb7/dvVxrzX333ddnEHbvvfcSjUb5/Oc/32dTuj179vRolieEEEKMdtLETghxStq4cWOfk6QCnHXWWSxbtozFixdz9dVXc9NNN1FaWsp7773H66+/zqRJk/oclOBYfO973+PVV1/l//yf/8Mbb7zBmWeeybZt21i+fDlXXnklr7zySncTuSO59NJLefbZZ7npppu4+uqr8Xq9zJo1i2uuuQa3280999zDv//7v3PWWWexZMkS2traeOGFF1i4cCG7du3qsS/DMHj88ce5+uqrufzyy7vnQXr99depqqrijDPOYMOGDT0+88UvfpHVq1fz3//937zzzjtcfvnlFBUVUVNTw9atW3nvvfd46qmnKCsrO6HzJYQQQgybER5mXAghhtXB+X+O9LNkyRKttdYbNmzQN954o87JydEul0uXlpbqe++9V9fV1fXab2lpqS4tLe3zmP3NVbR7925900036XA4rP1+v16wYIFeuXKlvueeezSg161b1yvdh8+DlEql9Ne+9jU9fvx4bVlWr23S6bT+1re+pUtKSrTb7dZTpkzRP/7xj/Xu3bv73J/WWr/55pv6oosu0j6fT2dlZembbrpJ79u374hzLv3P//yPvvzyy3VmZqZ2uVy6uLhYX3zxxfqHP/xhn+dLCCGEGK2U1lqPRGAmhBCib/Pnz2fVqlW0tLQQDAZHOjlCCCHEKUX6IAkhxAipqqrqtey3v/1td1M1CY6EEEKI4Sc1SEIIMUKys7OZM2cOp59+OqZpsn79elasWEEoFOKdd95h1qxZI51EIYQQ4pQjAZIQQoyQb3zjG7zwwguUl5fT0dFBbm4ul1xyCd/85jeZNm3aSCdPCCGEOCVJgCSEEEIIIYQQXaQPkhBCCCGEEEJ0kQBJCCGEEEIIIbpIgCSEEEIIIYQQXSRAEkIIIYQQQoguEiAJIYQQQgghRBcJkIQQQgghhBCiiwRIQgghhBBCCNFFAiQhhBBCCCGE6PL/A26HKp4hUVNUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1000x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.image as mpimg\n",
    "california_img = mpimg.imread('./california.png')\n",
    "\n",
    "housing.plot(kind=\"scatter\", x=\"longitude\", y=\"latitude\", alpha=0.4,\n",
    "    s=housing[\"population\"]/100, label=\"population\", figsize=(10,7),\n",
    "    c=\"median_house_value\", cmap=plt.get_cmap(\"jet\"), colorbar=False,\n",
    "    sharex=False)\n",
    "\n",
    "plt.imshow(california_img, extent=[-124.55, -113.80, 32.45, 42.05], alpha=0.5,\n",
    "           cmap=plt.get_cmap(\"jet\"))\n",
    "plt.ylabel(\"Latitude\", fontsize=14)\n",
    "plt.xlabel(\"Longitude\", fontsize=14)\n",
    "\n",
    "\n",
    "prices = housing[\"median_house_value\"]\n",
    "tick_values = np.linspace(prices.min(), prices.max(), 11)\n",
    "cbar = plt.colorbar()\n",
    "cbar.ax.set_yticklabels([\"$%dk\"%(round(v/1000)) for v in tick_values], fontsize=14)\n",
    "cbar.set_label('Median House Value', fontsize=16)\n",
    "\n",
    "plt.legend(fontsize=16)\n",
    "# save_fig(\"california_housing_prices_plot\")\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 从图片中告诉我们，房屋价格与地理位置靠海，和人口密度息息相关"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 寻找特征相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\17167\\AppData\\Local\\Temp\\ipykernel_22296\\2510174910.py:3: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  corr_matrix =  housing.corr()\n"
     ]
    },
    {
     "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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>longitude</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.924664</td>\n",
       "      <td>-0.108197</td>\n",
       "      <td>0.044568</td>\n",
       "      <td>0.069608</td>\n",
       "      <td>0.099773</td>\n",
       "      <td>0.055310</td>\n",
       "      <td>-0.015176</td>\n",
       "      <td>-0.045967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>latitude</th>\n",
       "      <td>-0.924664</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.011173</td>\n",
       "      <td>-0.036100</td>\n",
       "      <td>-0.066983</td>\n",
       "      <td>-0.108785</td>\n",
       "      <td>-0.071035</td>\n",
       "      <td>-0.079809</td>\n",
       "      <td>-0.144160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>housing_median_age</th>\n",
       "      <td>-0.108197</td>\n",
       "      <td>0.011173</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.361262</td>\n",
       "      <td>-0.320451</td>\n",
       "      <td>-0.296244</td>\n",
       "      <td>-0.302916</td>\n",
       "      <td>-0.119034</td>\n",
       "      <td>0.105623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_rooms</th>\n",
       "      <td>0.044568</td>\n",
       "      <td>-0.036100</td>\n",
       "      <td>-0.361262</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.930380</td>\n",
       "      <td>0.857126</td>\n",
       "      <td>0.918484</td>\n",
       "      <td>0.198050</td>\n",
       "      <td>0.134153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>total_bedrooms</th>\n",
       "      <td>0.069608</td>\n",
       "      <td>-0.066983</td>\n",
       "      <td>-0.320451</td>\n",
       "      <td>0.930380</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.877747</td>\n",
       "      <td>0.979728</td>\n",
       "      <td>-0.007723</td>\n",
       "      <td>0.049686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>population</th>\n",
       "      <td>0.099773</td>\n",
       "      <td>-0.108785</td>\n",
       "      <td>-0.296244</td>\n",
       "      <td>0.857126</td>\n",
       "      <td>0.877747</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.907222</td>\n",
       "      <td>0.004834</td>\n",
       "      <td>-0.024650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>households</th>\n",
       "      <td>0.055310</td>\n",
       "      <td>-0.071035</td>\n",
       "      <td>-0.302916</td>\n",
       "      <td>0.918484</td>\n",
       "      <td>0.979728</td>\n",
       "      <td>0.907222</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.013033</td>\n",
       "      <td>0.065843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>median_income</th>\n",
       "      <td>-0.015176</td>\n",
       "      <td>-0.079809</td>\n",
       "      <td>-0.119034</td>\n",
       "      <td>0.198050</td>\n",
       "      <td>-0.007723</td>\n",
       "      <td>0.004834</td>\n",
       "      <td>0.013033</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.688075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>median_house_value</th>\n",
       "      <td>-0.045967</td>\n",
       "      <td>-0.144160</td>\n",
       "      <td>0.105623</td>\n",
       "      <td>0.134153</td>\n",
       "      <td>0.049686</td>\n",
       "      <td>-0.024650</td>\n",
       "      <td>0.065843</td>\n",
       "      <td>0.688075</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    longitude  latitude  housing_median_age  total_rooms  \\\n",
       "longitude            1.000000 -0.924664           -0.108197     0.044568   \n",
       "latitude            -0.924664  1.000000            0.011173    -0.036100   \n",
       "housing_median_age  -0.108197  0.011173            1.000000    -0.361262   \n",
       "total_rooms          0.044568 -0.036100           -0.361262     1.000000   \n",
       "total_bedrooms       0.069608 -0.066983           -0.320451     0.930380   \n",
       "population           0.099773 -0.108785           -0.296244     0.857126   \n",
       "households           0.055310 -0.071035           -0.302916     0.918484   \n",
       "median_income       -0.015176 -0.079809           -0.119034     0.198050   \n",
       "median_house_value  -0.045967 -0.144160            0.105623     0.134153   \n",
       "\n",
       "                    total_bedrooms  population  households  median_income  \\\n",
       "longitude                 0.069608    0.099773    0.055310      -0.015176   \n",
       "latitude                 -0.066983   -0.108785   -0.071035      -0.079809   \n",
       "housing_median_age       -0.320451   -0.296244   -0.302916      -0.119034   \n",
       "total_rooms               0.930380    0.857126    0.918484       0.198050   \n",
       "total_bedrooms            1.000000    0.877747    0.979728      -0.007723   \n",
       "population                0.877747    1.000000    0.907222       0.004834   \n",
       "households                0.979728    0.907222    1.000000       0.013033   \n",
       "median_income            -0.007723    0.004834    0.013033       1.000000   \n",
       "median_house_value        0.049686   -0.024650    0.065843       0.688075   \n",
       "\n",
       "                    median_house_value  \n",
       "longitude                    -0.045967  \n",
       "latitude                     -0.144160  \n",
       "housing_median_age            0.105623  \n",
       "total_rooms                   0.134153  \n",
       "total_bedrooms                0.049686  \n",
       "population                   -0.024650  \n",
       "households                    0.065843  \n",
       "median_income                 0.688075  \n",
       "median_house_value            1.000000  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# corr() 计算出每对特征之间的相关系数， 称为皮尔逊相关系数\n",
    "housing = housing.drop('ocean_proximity', axis = 1)\n",
    "corr_matrix =  housing.corr()\n",
    "corr_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "median_house_value    1.000000\n",
       "median_income         0.688075\n",
       "total_rooms           0.134153\n",
       "housing_median_age    0.105623\n",
       "households            0.065843\n",
       "total_bedrooms        0.049686\n",
       "population           -0.024650\n",
       "longitude            -0.045967\n",
       "latitude             -0.144160\n",
       "Name: median_house_value, dtype: float64"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix['median_house_value'].sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "   * 相关系数范围 从 -1 变化到 1，越接近1 ，表示越强的正相关，，比如，当收入中位数上升时，房价中位数也趋于上升，\n",
    "   * 当系数接近-1 ，则表示有强烈的负相关，纬度和房价中位数之间出现轻微的负相关，越往北走，房价倾向于下降，\n",
    "   * 系数靠近0 ，说明二者之间没有线性相关性，\n",
    "   * 相关系数仅检测 线性相关性 ，如果x上升，y上升或者下降，可能会彻底遗漏非线性相关性，例如 如果x接近于0，y上升"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: xlabel='median_house_value', ylabel='median_house_value'>,\n",
       "        <Axes: xlabel='median_income', ylabel='median_house_value'>,\n",
       "        <Axes: xlabel='total_rooms', ylabel='median_house_value'>,\n",
       "        <Axes: xlabel='housing_median_age', ylabel='median_house_value'>],\n",
       "       [<Axes: xlabel='median_house_value', ylabel='median_income'>,\n",
       "        <Axes: xlabel='median_income', ylabel='median_income'>,\n",
       "        <Axes: xlabel='total_rooms', ylabel='median_income'>,\n",
       "        <Axes: xlabel='housing_median_age', ylabel='median_income'>],\n",
       "       [<Axes: xlabel='median_house_value', ylabel='total_rooms'>,\n",
       "        <Axes: xlabel='median_income', ylabel='total_rooms'>,\n",
       "        <Axes: xlabel='total_rooms', ylabel='total_rooms'>,\n",
       "        <Axes: xlabel='housing_median_age', ylabel='total_rooms'>],\n",
       "       [<Axes: xlabel='median_house_value', ylabel='housing_median_age'>,\n",
       "        <Axes: xlabel='median_income', ylabel='housing_median_age'>,\n",
       "        <Axes: xlabel='total_rooms', ylabel='housing_median_age'>,\n",
       "        <Axes: xlabel='housing_median_age', ylabel='housing_median_age'>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x800 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用padans scatter_matrix 函数，可以绘制特征之间的相关性\n",
    "from pandas.plotting import scatter_matrix\n",
    "\n",
    "attributes = ['median_house_value', 'median_income', 'total_rooms', 'housing_median_age']\n",
    "scatter_matrix(housing[attributes], figsize = (12, 8) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 16.0, 0.0, 550000.0)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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CPCGR6w4eVVBoS6mg6RJR2RIS2y930cQdUVI8IYNbcvk8xP779gOOZXdM8cmKdb+j2/OpSURw1QYerFoyAaIf1G2IyOiRlcdIqPvvCtmTzQ/YbujP54sOxPX/2gCr9vnLBGBhoX7c8q2zllyBUoLORaxN69eAFBGiR6ueVEdHmaVjC5fIaGYg2P50CChMwPTHIwCtBQcjg+wUznker1rmI8PIaO5dVPzy3SXLJkV3PYCHB8uA+9Y5UQhWdZqYPO9wGqCpn3+MDdA0sGw8WnlKnSYVZ08/LP05u9jdADBRYCQ8XFpO+wnezb0xjXNc1A2FyZgXjovKYT28eThiPFd89cGKO6cVP/bZA2KAu4uK0hiWdcudi5p169BCIAXcbxyZ6jBK8tmjMZk0fO3Bkv/zvTO0lhyOS7QU3L1oWTVrQkjR9EAiqM4rfvXROVoq5iON9YFMad47r6i6wINFxf44Y5RnbFqX3qNdB2tBoVv2x4ZfebTiZN0xyhSb2nLROOK65c2DEdcmBb/8cEH0ERvh9l7JrMz4xW+e8I3Tijf3C0qTsWrT5HWWacrCYLRgIyIuwLJZMC40uVbcnJdMS8Od85rzTcv+uOD6vGBVW761qJmXhs9f0wgteNTfvE+PEZfHKxME31o2nFeWzx1PuLU/4rzqON00TAvDtVm5G7uet77L483ziBfAz/6Pd18b+XqV+K5qvn78x3+cv/23/zb/8//8P/Pf/rf/LQ8ePOAnfuInOD095cGDBwBcv379yneuX7++++zBgwdkWcb+/v5Ll7l27doz27527dqVZZ7ezv7+PlmWvXSZ7e/bZZ6Htm1ZLpdX/n0UNJ3j7nnNtDTMihTlmRUZo1zzq483iBgpjEJJgZaJNDWdp+48Za7TspnChohWgmXtWNcdd89rxpkmxEhEcjRNM7B1G8iNxPrA2abbhakhhX4XtaUwCq0Em84zLQ2jTHGyasl1n0bqAlooTirHuDBcm5cpKmVSiuIrD1acrCoWdUqJPVy0VJ1HScG0MEzydHzGaDoP755uOGssSktGRmOUotCKMlPUXXq57o0MUcG6S7P/iOC0aml8xGhJrhUCxchopBKsbQr1Z1pio0AqQZ6BkALnI12I+AgXmzRrMzqRhMu4HMGCNPip+IR4yf6zDxcTfUIMJClVdPl7zyMlW+IiLi3VWU9jIcoU6RAykZ4Piwh0EToXiTFgXUAIMEqATLPiy8Rvi+0gvyVRwSWiZmNPEvrlC/Pk53jpu9t1vsoX0uXztyU8kKItSqTBUZLGchdThIw+eid0ilq1IZ1HxLPH/J3E9r7xJCJlA0ghUqRVPtkXo0BpIPYRUdhFprbXS24jpoodKRAiHbNSgiC250oyKwytg4hgVTlOq5bHm5bOR7QEY1LEsDQp6ntewbqJdP7FpPlFx3cZnkS6Og+b7oPvA0E6lrzQSN1HyCJ03tHYwCjPKYziovYIIZmWms4nsjEtMzyRb55sWDSWo0lBZz2nlaU0ChGT/MVojdEKS6TMFTZCkUuWTWDReKomMso0SqZ3m4gp4iwETArD2JiU7g4RHwKrzlIaw/E8R0lJ6z1CCO5eNHgfmJeGzgUmhcGHmN5hm45F7RjnBq0UXYDDWUGmNVXtGeeKuvbcX7XMSoNSEh8Cp7VjnGlaH3ExMM0NhdE8rmzaZyRFLjFSUneB81XHJEuyCCUEnkjtApGIEinVuD/OkUKwah1apWzHsnZXxojL49Uo02xsINOaw0nBpvUoCaNMcbFJE2utBEqmdT29vsvjzV/7p//nS++Hn/kf/s1HuPu+N/BdJV+/43f8Dn7v7/29/OiP/ii/7bf9Nv6n/+l/AuC//+//+90yT6fzYowfmOJ7epnnLf8qltlmbF+2Pz/3cz+3E/rP53PefPPNl+7707AhEYFCXw1SZkpRb2PEPXyfivBA5wNapsurpcT5FM62vQ6iCxGtJZ1Po7yWglwLutDnt/p1+EtZaR8jLkSMkoQAPkS0TJqsNsQ0+MY+NRMcwUOuJFJAQOBCYJxpNtazadO6AtA4l74rQEu1S2tJkZapOgg+IKVIg0ZIuhkpI9FHWh9QWw2BC0QhkEDjIiHEdJPHXvci0iDh+8FKCoGLKfVlpMAHaLepHSJ2ywx4eUTGkwhTFM9+9lGwIy/xanDncprw8nq3pCz0H/r+uzE+IUMfBT6m9F0XoLMeG9L6BGK3X8/bH9//7i/9bvvUqeTJObqM7anaruvb2d+X4UXrEqTjvLxAIBHZEJ+kdNP9nCJFr1ucEZ/+F9J9v2NYXPkxXZf+nnGXrtFuv+PVnyGdA9VrFUU/4BopsH1as4uBtoWu65cBRLxKnHwEF66mez/s8V3Gpcdsdy9dxtNvWNEfcwxxd793IbBuPa13SAQxBDqf9t1oifWRtk8lSiFYNj6l05SiCx7nIkKJJ+/RmNJh3gWkShNSEaFznhAljqQpdSGghSASCTFdFUH/rvIRGUnLWXYpNYWkcwEh0zs3kKKPNkSUFEm/CKytJ5Amzj6k95HpJ9ptCPgocCJpBvP+PV91nhgCRS5pu/78EHsdXLrWod9H30fam16qYUPS6xHSOQr9O9+FSK7TLKRzIb0v++UvjxGXx6sYwPbjyyiTtMFje61ZItti996CZ9d3ebz5lYerl95Pv3z/owU1vhfwPWU1MR6P+dEf/VG+/vWv76oen44qPXr0aBdxunHjBl3XcX5+/tJlHj58+My2Hj9+fGWZp7dzfn6Otfalyzx69Ah4Njp3GT/zMz/DYrHY/Xv//fdffhKegpGCTAoa5678vfOeUssro4ISYhcNyVTSPgG9BkrgY8BISa7SOp0LZL02yoVI6yKZlOkN269DXSJ3SqSH3vYibSUToYohkkuRXs4iCbW11EgFrQ+ECJJE1DadY2wU4zytSwKF1rsXuwt+N/iFmJYZZSBViqrFmMhkiIEQBEIJciXx/WxJa4mIfepOC6RMpCFFLsRuEFFi+wKPaAFCxPSi7gVEIaY05Xa5rWbpRdieJRGf//cPi/iCn1+0vdD/i/01FPSRDvHRom6XtyfYRs3EJYIUr6xvG6l62f5tie52YH1R5PDy76+S47zo2LdP0pbLwJNIkhRPiCzbSUC8Msd5LRBP/5Ppvr8cAr0cDZX9gpKkddut49IFu/wzpGfAC9E/bxGF6AXSKTSWCUmeQ5aJ3bWM4uo1UiJp+CQf/V6/jO33t1G6p9f1vHslTeriTvMnAGLEucimcziSrk4IsC5glCDPFJ1PJGlWKJRImqpMKrQWRB+fvEdFKmhQWhJ8wChJFEnbKUVA9wRGS5n0dSTCQk/KYgS9iywKtEkaJgBPKiCJIb1zJeBc7CeAqTAEYGJSUYbziZSlVHFPhqREiYiOAq0SGdNKMMoUQkqaNpBnoj+ngtp50pARkf0+Kvp3sEzieiNlus9kOkeyf+drKWhdotiZlqkYp1/+8hhxebwSMhEqIlRdIJcKo1LxgCK9c+Wll8jT67s83nz++vSl988P3/x4+qvvBr6nyFfbtnz5y1/m5s2bfPazn+XGjRv8L//L/7L7vOs6/vk//+f8xE/8BAA/9mM/hjHmyjL379/nl37pl3bL/Kbf9JtYLBb8m3/zJCz5r//1v2axWFxZ5pd+6Ze4f//+bpl/9s/+GXme82M/9mO7Zf7Fv/gXV+wn/tk/+2fcunWLz3zmMy88pjzPmc1mV/59FBSZ5vZ+yaq2LJuOzgWWTUfVOj53PCYKQWOTkNyFSKYkRdan5FqXlu31T85HZqVmUmbc3i/ZdA4pUkzjZNVytmmZ5KnKyCjJwTi7UoGie5FlYz3OR8aZYlVbqs5zNM1pXYpOTTKJi56jkWbTWB4tapwPNNZxXrX8mhtTjqYj5qUhANfnOaNM4UNk1VjWbTo+ax2Zgs8cjjkoDN4FKpuE843zVJ0j15J5qbioLMLDJJN0ziOIHI5yCiWwLlXsRDyVdQQfmZhUTdS5gBFJ4F63iTwZLdAyvbBKk4iYcy8nBpE0QDog50la5KMQissDztORpac/v7zMdtuQBt5cgeiF8DE80WV92H1QKolrpVAYldJY1kfEpQjH84iof/pnkQiX7X9XkAoQuPriuUwivlORr63IfbtvniepSEU6b51Lx1r3/2+/1485u+jY68D2vlH0BQMyTRRcX/Cx3Rfrwaeal915lKonkGE7ienvEZ/Oex/YQotU9Sbj9lwFlo0l1exEpiPN4SjneJyTKYELYPvCgNomTeL+CCaFIFMfj3xpnkwYcvPB90EkHUvdBrwD0QsHtUlFA5vWUjWeSZYqVle1I1PpuV7VHQrBZ4/GzAvDybohM4rDkUnFISJVwFvnUoUjgrr1GAFNG5gVknmhGBWpgtGH9G6LInI0yYgR1o1lY216n0iBkql6tbaWx4sWHwK5UsQYub1XoJRkUVsyLVk3FiVFeoeNM+alZtNanPdkEk6XDZ1zjErFpvWUpeLmNGdZ2zRhlJLDUrPpHLlKBRmr1tJYx/HIpH0m0LQBGwJlJtmfZqw7j+xTjApBqWWKjsVEhM43LSFGprnG+UhjPbNSXxkjLo9XVecYG0nnHKfrhnGu8AGqzrM3NpRG4Xyqpm6sf2Z9l8ebP/3//A9eej98Eqsev6vVjn/qT/0pftfv+l289dZbPHr0iL/4F/8i//yf/3O+9KUv8fbbb/NX/spf4ed+7uf47/67/44f+IEf4C/9pb/E//6//+9XrCb+8B/+w/yjf/SP+Ft/629xcHDAn/pTf4rT09MrVhO/43f8Du7du8ff/Jt/E0hWE2+//fYVq4lf/+t/PdevX+ev/bW/xtnZGV/84hf5Pb/n9+ysJhaLBV/4whf4j/6j/4j//D//z/n617/OF7/4Rf7sn/2zH8lq4uNUO96/aGh8oFCSm3vFrtpxWTtsSLOGSZ7egsvKcV53NJ0nzyQHo5y9kXmm2vHuWc1J1bKqO4zWXJsVHI4z3th7ebXjsk4l1k2bXlaFVn2Je6QLgfN1x9pZ7p7UnG2SiP5wnPFrb86eqXY8W3d883TN1+4teO+8ZtFYCiW5MSt4+9qYtw/G1Nbz7uMN759vWDYO5yNGxCQUNZpIZJJllCaVe0slkSFyuml4/2zDo5Wlcankf6Ql81KybAOrytIFqG2Sgs/LjFFumI00hRKsW8u984bTjU3aG/9EJL9NBBuRBozSCIyRzLRkYx3nTaTpReq7wZJnScFW62TMkxQdsU9hbisTt9GXrQZJ9lWG/fdKLZnnhtlYMzKSygbuXXSsO0vbJVKpxLPVjlvtlSBpoQ4mcDAqmJSKGCXee5aVpfURHwPttiIqPkktNpciD5oUbVA6kbhMClobUb3eyPu0oBaJ0NqQyMBWiG/6QXQrI/FcJY/bCNrllOU2Cmcvfb69LkokbZJU/b66J9/RvXZpnAlGRrNoLG1PunIlKDMNiFTB6zz1ttrRweoDBP+qPxdbkncZpt/fy9WOnU1FF5erHecZ3JznXJulasezVcfGhRTljb0WR6RIhRap2lEbSUBird/Zn2yrLrUUKTIrI0IolJBoHSmNQstk7ZGZJ9WOR9OMiOTRsuLLd8931Y7ep/N5NJL80Bv7HI40j1YNX7m/5tHqarWjIE1GpiOQAaoOqr5oYXu/TDLYKyXGKEIUKAFN23HeQts9v9oxBoh9wcA810xLnciC0gQXqFwiW+MsWY0EAVmWUWrJ0Tjjnb7asbGBxbrF+kgXPWfLhlVrWbaetg1oGRkVGbkWlHnSrH72aMz1ec669rx/tmHRBhSBMtMYKbh3UfN41eJiZJxpDscaI9MzeVZZrPMcTnJuzkuuz5LW9qKyLBubrpcUTDJFmes+4uS4c15ztrK7wppxmbFfZpS55vasYDLWnC5bFm0S341zwbqxnG0s57Wjs45xrtkrDMvOE2Mg14q9keH2/pi97aS6V7LMC8O4UGwaz7KvwtQSprlhVOidxc7Lqh3vXzTUztN1nigiRabRQjIfGW7NUrXjuvG7set567s83vx//o8vfaqqHb+r5Os/+8/+M/7Fv/gXnJyccHx8zG/8jb+Rv/AX/gI/9EM/BKTw6J/7c3+Ov/k3/ybn5+f8+I//OP/Vf/Vf8SM/8iO7dTRNw5/+03+av/t3/y51XfNbf+tv5b/+r//rK9qqs7Mz/vgf/+P8g3/wDwD43b/7d/Nf/pf/JXt7e7tl3nvvPf7IH/kj/G//2/9GWZb8vt/3+/gv/ov/4kp145e+9CX+6B/9o/ybf/Nv2N/f5w/9oT/En/2zf/ZD20zAx7t4n2afL+sDp6uGR+uOurNkSnN9lnM0yVFaXvH5erxsWbaWeWGQUtBaT4iwPzbMyuyKz5ePgbOq4+FFm1KemWZ/YhhrTe0tp6uOx6vkh3VzVjAuFXhJngtGxrCoOqQQ/Pv7K5rWsuo8CsgzSesjuZDsTzXWw/4o4/PXJ+SZfKnP18WmpekCq6bFBcHeOON8kxhSoTST0rDYdHTBM8o118YFlfVU1jIrMo6nGZvW8+CiYb+PTgqSx1huFD7C4USzqv1Lfb6WtePRsqEwMomTKwsS3j4YMx9naCFZNB3LKlV71dYlPyYNrY3cPWvw3nH3rKLt0ylaClwUZDKJjo+mGddnJW/uj2i8R2uBkZKLjeXeRYOIkUfrGoPgaK/Ee7DOYXrrklmpcS5Zhqy6kGwhAlSdo7UOYopCCCFZd5a9ccbRuKB1lmvzknmR03nP/WXNyaKjcw7vI5sucDAx3D4c03SeeanxRLouMO79zozUNM4ikeyNNd4JbPRY5zldW94/WXOy7nAkDYxCIJVklivGeca1eYEPqcL2aKLRSjP4fD3x+dISjFYgEuHKjaLQkrJQGPnBPl+nS8f99YpZltP6SKYVzge63ndrf2TYWM/njsZMCv2p9/lyPrBqLSIKJoUefL6+A/jUkK/vR7zKi/dpwvmm3ZUUm17c2ljPtWl+pfTY+cCd8wohUoXMFo1NM77b++WVh/hF682UoPOxN/aE988rWptIkui1Hj5EJrnm196YsWg63j+ruagtGjitOkKMu9D5RWP5oRtTPndt+tzZIDyZxZ1vOi5qy7qxfXQism491yYF+5OMWWFYNpbHy4YAvHUwRgiunI+Peh4uYzto3FnUFEoyLlI95EXVcf+iJtOSNw5GxAiPljUguDYrrpy/g1EyUv3S+wvOa4uRktN1y/2LCiElx5OccZ6MSse55p2jCW8djp5EXn3g3dM1rU0VTePcoKRIL+gIh5OM003LtDBIIfrBIZGU984qzqqWo0lB6wKqP9fBR6al5nhakCnJ9VmOj5H7iyZV1a6S/9IsN7j+tTcrU5VamaUK3nmZ7dYHqaik6hxvHozI+8F9e94zLTlft3zj8ZrGe6xPEYPjWZ40eD6wNzLcnJfPlON/2EHn+wEf51ycrhu+/nDFnfM6aaKUxCjBW4djRpn+wGfh04DLXlgv88wa8PHxqfL5GjDgcknxlkgomf5f1o5pYXYvz20FzCi7qr4xSiYtQ4y7m/pF63UhcO+84eZesfv70STnaw9WPF61vLFXEqWg7VLqYtM5DvuIXX3f42Jgr8xYt8kY0SjJ7XnJ3jh/ofcNPPGsaZ2nal0qDggpZWh9R54J9kYZQF/y71nXjtZ5Cq24Ns2Zl+nzrR5iu70tMdq0jsNx9tzzHELkfNNy5zwZNj5atRyMe3IwSqTPzyInq5Z1k/R0mVLMSrOrttJKUKCoukQsci2pGpfSqlKwP80YK8PGOqpO8LnjgkkmU9RkUe/OjVaSw3HO/UVDjGnGrfoo5uEkRwjB0bjg+iy/Erl1PjDKFf/+PuRGYqTg8brdnTNI69ISHiwbaut5uGw4HGUUWtFZTyWT9cimsxgpOJgkO5ZIxPqwu/fgWRHw5ftPCsGkNOxPcrRM539emp3jf+Mcbx2Wu2u2vQbfDwPlRyFUWslvfyCKJD1Vbrho2vS7SObIUgiuTfNPNfGCq15YL/PMGvC9hYF8Dfiu46MQqssVMC8bJF+2XiUkbQi7NCvAyCi0hHVtuSOSSe0sNxidUmTTwnA8LSHCw1VLJgUnm1S+LiVcmxZMi6Sb2BLG7T5s92lRp8F+5QJlnkwNt6H442nGonLMC0uRJTNGLQVvH47YG2fPTQVvB/Vl7Vi3NunvgEWTPHSeHtQXdcc3TjZsWkeZJXHVrzzc8GBR8+bBhNv7JaVR3N4vuTFPZPNurGms53TT4fsy+HGmUEqwbpI+5eZewdmmpWoDdRuI2mJD5M39EiHhokmaxK2/z5ZMb/d/0yZiNisM12YFClg1luvT/Ep6HdJAfXM+onOBb51WCAGz3GBjSjFPspxxpnqvJ02pFU0X+OXFkoORIdOKs3VLbiSlSsaXRqY0oI+Rs023u/cuR1+35/7p+08JQd5btpSZYm9sUnFMbREkX71cNRxOCqQUH3mgfJ0RslexrY9DLj/q9p0PnNcdeyPD8Thj1RVUnad1garz3D64Snw/jfgoE9cB31sYyNeA7zo+CqF6UcTn6UHyZev1MZDLVOYN2wHD8nDZUjnPnIz9ImNUaNa1IwS4FUs0cDgp0EryeN3SuMAk18xLw6w0u/1Zt5aTddO360gDUGHSAG2UxIWUroRkH9BYz/E0JwIuRtatpe48xMjGeuyqfe4AJvsOBNO+Ysv5wDg3u3NyeVB3PnC6ael8YFoaWpsiA5mRuCBYVh0xBmZlxuevTRjnSR9St47zyjItUycFFwIPl03S2wk4nOQ0nQeR+iEK0bFqEoFsnGcmxM6Dbd04hBC7cxlC5GSd3K+r1rGqLBdVx/7IMClNMnPctIwzTRTsBmUpBW8fTpjkOmmuQiDridQsNzxat4xy3evYOoRIeqfGBY6mOTEGPJEbewV7RQ4ismpTmxPrAhe+o8wUuUrRxnGvD9pu/+n7L9Mp5TqZp/vlwbJh0zhKk/bv4bLhM4eO23ujDz1Qvs4I2avc1mVymWlBawP3Fw3w4ijMt7P9ECKn65a75/XuGkwLw16Z4WLSNM4+ZdHE5+GjTFwHfG9huC4Dvuv4KIQKrkZ8qs5hpLySkvug9TofubVf0PXl0pvWce+iZtU5Dsc583HGuvUYLZEqNbneErUt4SmNSikOJZKguIf1gab1OyK0jW6cbTqsC+jCJFF6CLsUqFbJoHGbZlvUNll55Pq5ROp5aGza3osG9dZ5Nm06DgGsW8/eOGNkFI9WHRubCFauJOMr0abnD16eiA8p1XeSaQ76BoK5ESwriws+uY734v5Zoa+cyxAiv3T3nH93dwExEqNg1XT86umG/+CNGZ+7PsO6wK88Wqeqtf68bQfl7fU1WhJdug65VqlDQT8YbQs0DiaJQJ1WHTHCtVlJqRU/cH1K7Rxnmy0h6tORrWNeGPZHGZvOcW9RXyEF0/56b++/aWaYXtf4AHcuKqxN4u95H2nbdJZvnlYYLT70QPk6U0mvalvbKEym04Ri1bhkgeMDziWD5cyoZ7737Wx/UXecbrpU6akkQghO1y1MkrN9odWVSdunFR9l4jrgewsD+RrwPYEPS6jgasTng9IUL1rvNDesWsvZpuPxqkki83mBkMkUUCvBeWWZ5IpJoa+kKCH52RxPk2YpBEtuJDHCpk1u/c8jQhe+o3HJXHFZWVrn8SE1sXU+cjBNHje19Yz7yA0kJ2gp4GzTPZPO1Eq+dPa7bi2n65ZV6zjddJyvW6alwfbFBlVI/kRGaYwW2HjVYbrMFUYX1J2ntv35mxXJ9kIk/69xlhr0CgGHNmM5sdy7qFnWlpOVIDeK8yoVMBxODBF4uKz4yoMVSkBEUlnHydoS8Xzl3pqjcc7htGDTOqyW7E+SiH07KAOXBmy9G7APxmY3GKVuCJHSaGQuuGEk16ZFapbtAkLCpvXPjUQ1NiQblMq+kBRs779tRVrbn6OVsuRG76rDxpnB+Y5V7Xun9ZcPlC9LJW1tWz5MRfKHwatMW23vQ+sC51V6JgqjaAU8XDdcq3JuzEcfe/vb74z7xuen6y61V1MpArktcvh+SLd91InrgO8dDORrwPcEPgqh2uLDCHVftt59nZNpSesChZGM8mRaaH2qqnMxMM5zDkY5McQrqafQR2+sSwa1gchBmXE8y1m1SYR/WcNilKTMFPPCULXJpLbpPKOsT5f0HmypvUciUiFElo1l1Vg6F2hdSC7USqZ2JH0kZpzpF85+687vomg3ZwXL2nLntMJomQjmxjItFLfmJVIJVrVj3VjKTKOEIFOSXKftbI/F9a6do0zyeJ36fwohIaRWTzemJblW3LtokDI5YudKIUTynbqoWk42Fh9BklqK2BDJjECT42Pgm6cVlQ3MR1nflUCQm3TdzjYdkfjcAbtqA+NMcVYlfZ0ANp2FKDicZKnfXGMJfVn/i0jrqrE0/vnEbEsKQohcVKlydauHa22g7QJGp4iP7jtNFEYhpWCaay76Tt0vGiifR6ZDTFYDD1dN0pcZ9UrSkK8ybbUlj49XbbI2QfTtdkhtxVpP07krBRTfzvYvfyfTfUq7TRYi1gcOxtmnXut1GR9l4jrgewcD+RrwSvFxRbuXCdXT6/oo63562RcRtVynqIYQyWbA+ZZxngbFEGI/8EYeLJsrqafOee4vknD7jbJMfdd8SiFqIThZN3TuieYr08m36XCSczhJGrLnebCpvjnkpnVYH7ioOnKTohyr2vKrj9e8cTDiaFLsIjHXpjx39rusO6zzTApNpiV1B7Ncs6g6Hpw3WDy390reOhyTmxTZOZhkVF3YEYftep9nATIvk8dYZz3vnlaEEBgXmqVMUb0ykxxOckqje3f2wKTQrJvUMDLXgrONJZJ6gJZas2ps8i4TSZye9l3t2pAYJdm0DiES+buM7YA9KXIQqSm6FKkB/NE4ozSKh8ua03VqQiyFYNM4lBCM8id3h/UB2RMHo57dxlbT9+Ci4Zun6136NTeSs1XDySb5jU376KVWva+XVuyPshT5fMlA+bxU0rK2PFymCO0400R4JWnIV5m2kkLgfeC9sw30/mVaQqYlt/dKzqpkPLrd5gdNHF60/e33my5VDE9yzaTQVG1yaD/qixu+X/DtTFwHfPcxkK8BrwSvUrT79Lq2/d62/RVftu6Puh+XCUamJHujjIuqY91YDiYZuRK7yrlRlqoTv3x/wd2zGkQyiZyVhlvzgjLTVG3Ax8D9izqJ1LWmcY7Tdcv0+qXWGS847lVj2TSOB8uaVevYLzOMTgaFRiummcS65A2mlUA6wdmm4839EdemVysfW791pxZI0dK6yHycMS0NR+OG87rl2rQgN8k24bDXRjXO7yIOL5pVjzONDYFpYbi5X7DpoxRGJsuGUe+anqukazNSMu/Xv+kcWaY4nubcPa+xITAvU1FA1Tne2C8ZF5p161g1jrcP812TeOsDuZYvtIVQIjl7b7rUkHhaaPZGGi0VJ+uWi9pyNM45mORJj+Y9J+vAtd4jaudjNjZ9FDTZk4YAUkLVOE42DedrweNVckYf54bGpX0/r23qnxci686ybi035gVGJwfvzCgyo55JWYb4pJ/f06kkIeCk//lwkpNf0k193Iq2V5m2WtQdzkcKLTnddCgl8T4R08erFolMLb8upYlfNHF42falEMQY+dbZBiUluU5RZSMlN+bF9y3x+FiWHQNeO4ZrNeCV4FUKhJ9e18mq4f6i5uZeeSXi87x1fzv7cZlgaCUojcSojNJoHi5bZiND1lfZdS7wYNHwYNnymaMxmZYsNqllyFsHY6RMzbtvzktsHw3LtWIyT61qthGllx33rDREIouHK07XHVIKjicpnZlrReMcZ5tEpqwLtN4zzhXXpuWVysdJkRNiasL+eJWqCPd0Rus8R7Oc6UgjIlyb5eQqRWga669EHJ6eVYvIFRE6wKZx3NobkRm5Iylt53n/vEptevLkB1Zkmsb6VP2pU8urz10b86X3ljzsajKt+ML1CfNRIsrJeyzpeurO42Mqlrg2TdfxeQN2psROpzUtzO7vRR8hmY/MrkDCKDiaFqwqu+uycDkSJUUyUO1cajL8cJn80TqbbErWteXGXrLnaKzn/kVLriVCRd6eZhRZisZYD3uFuRLdkkKwaiynm0TgJDAfGQ5GOZlRT9mIJOH6tVmx8zLbHveLUnMfJUr8KtJWWx1WmSkOJgUIKLPUetr5wKbxHExTlwclxZUU7s15sZs4fJjtL+qknTwc5zQuXd9N5/lsb+I7YMAnAQP5GvCx8SpFu0+vy4VA52MSifcRn+02nl73t7sflwnG6bqltYFJoVJPPGBZ2USgCp1a8AgocomU7LQ8nQs8XjccTwukEBxNCyJxR0YEqb1I20eVnh4Un973TEsal3opFplkOtJpoHGOtgt4b1OqTEREFDxetuRa9V5jTyofbYjcv6jxIVC1nip3PTFL1WCPVi3eg9Bi19z2eRGH7az6cseAUZYqAx+vW4yWaX9kiuDVnefBoubdkw2FVsxGOjUdDkm75fOUiry9P8YIyf1Vy16pubE3IlOpEfG1aUZjkyFuG5I9yK39gmludlHMywP2wdiwqt1zr/+qS4UQpbn6ysu1whdxFzG5cl0igECIyONFw53zBmIgAoWSnFeOwnRYn0iwC4F5pvEhXffoA0pC5wKr1lHU3S4Ce75p+cbJhqpzrBpL1XoyrXj7sOQzRxPmZba7J1vnybTAKHUlevu81Ny3E4F+FWmrrQ5LSUGZSa6r1DexdX5nPjvN1RWiuCWPUfCht799TkaZphin90MIaYIhhbwSQRww4HsZA/ka8LHxKkW7T68rhGRXUGhN55+kw5637o+7HyFEHixq1q2n6lKPPeeTEHzdOLI+wiIQ7JcZPgS6/vfOedYNfO5I7yJehVGpQzKpF2HVOO6T2vU8PSg+ve9aSfZHGY+XDa0NxCDIlODRMkXCRnnGsracVR3zwrBsHe+dVXzuaHJlPbPC0I4dj9YNJ+uWSZH64j1eNVTWY21kbCTX90tKrV8acUheYanXpVYCJQWjPPW6u6g65mUit8vG8o2TDdZDYVJ/yPvLhl8RkbcOR/zI7X3KTO9sHX7dW/v8OhFZ14FATGSt1H3BgefmXrHrb9f5yKq17I/zZwZsHyOL2lE8RWpDjDiXIo7PS1Vuh+qne6OuWse1WYHzgQeLmrcPR6wax+mmZZRp9krD6aYjRAEiDfpNlzzb1q3jGycNszKjzGRKyy5SpHBaGN4/q3iwqNm0qf+mUgJtPQ+WgrwniNtOAKkbQPhQqbmPE4HeEuxtP7+PQsK2OqwQYu+7JZgWgto6YgQbAmLXJurJub9MHj9M2uyZ50RKkKm7wuBrNeCThOE+HfCx8SpFu0+vS/Yv1sY5cvXEu+d56/64+3FWtTxat8zL5CjvQsD6jsZByFNaKIRIZ0NK1ZlUHbmxFgLcnOccT5P+6dGqTV5eQuJjSH0aI4xLTWn0M4Pitnfhpk2z+iTSvtpiaFoYPnc84f6i4aLqqDrPwShjv8zoQuDxquVokj2xWkCyqDtO1h2rxrHcWJx3xNh7lWnDwUhQ2WTo+rIeeFtD1DvnFblSmFoyLTSz0nAwzrhzUVF1KS364KLm0Sq1EmodFFozyeC86li3aWCfFGZ3jTqXtn08udoR4M55dSWKBVzpILAlJvgnTeQvH/u2UrTqPErA9VlB1TkgEZjWeU5WDZlS3Ke5QogvD/K2J3CZlGxaS9cFHvsuacA6j1ItWiquT3K0UQgZebTuCCFtZ1Zk1F1qn7Ssk8D/7nlF7RwuCMZZSiVuOsfZ2vLZw2cjtR8mNfhxI9AfR7d5RTvZW6lIJXZWKqmTQ6qUFSJ+27qywdfq+Rh6hX7yMJCvAR8br1K0+1wHcSU4XVsme6np9YvSYx91Py6/sCCVq48y3WtSki7lYJJztmoRMUXg9srk/B777SX5UWQ60XzmaELWi9cvqo575w21T+X1des5mOQ8WrTMR34XhVjWbidC3zQuubNnmv1Rqs7LteLm9YLZKLsysNxfNuyPMka9fsm7RBQamwxNzyrLou64e1axbByzwjDLNV99sEJLwbQ0HE8z9sY569Zytra4w5fr0c42HUZJlBIIAafr1IqnyBTXJ0VfWeg4r1tiTOen7M/HunP4CJkSqY1Smba1tXWord8dL6T+jB8UxZSXyELrAgiQMeIiLHzYEQAhBNNC995mycdtG4kEwaw0u2rP7b2z9VNb1Za6cyxqy6qpOF1bxpniYKy5d5G0Yq0VjMeG2wcl+yPDvWWLdYFZkaXihDyRj02TyGnrJevOo6SkscmmAqCyjqqzRJEiRZejOB8mNfhxI78fV7e5JYIXG/uMlcrtMrXmSlHlb98OYfC1uorvl16hn0YM5GvAK8Gr9Jp5el3TwjAtNETxgev+MPvxvBdWaRQhwn5f7QgppREjKCV559qYo2mBiLBqLXfPas7rDoHgaJJxfVbunOFXraXzkZt7RWoobT0XTUcUafC5v2x4c99xc29EYz3nvVfUbJSRacV51XHvouZ4mvPWweiZF+l8ZHjvvIJeX+RC0obtjzIiMOmJw7+/X7NuHZM8RagCkW+dbAjAqnVMO49WllwpFjb1Yyyecz2emFoalExGlkoqtBK9qWXGm4cjpoWh6rsFtC7SuoDWvY7KCqxLfmCRiI+R4DwPlzXL2tM5T5mp1GGgzD5UhGNRdzxYNNiQ/MxaF7DeMy80tU1VikYKZrlmPjaEAES4Pstpneeu84zLbGczsTPD7QX4m8bxjZM1nQ0YmZz7IdAGwfmmI4TIr7kxJdOpp2NhFKPcsF9GrIscjTOUFJysExnbdI5MS65Pcsa54vGqYdFYyr4yNIRIBFZVx/X56LlRnJel5r6dqJC7FDX8uLrNywTxRVYq89HHj9AMvlZPMDTV/uRiIF8DXglepdfMi9b1YULrH7QfzgdO1g1nm+5K+5/Tvv3PrDSoSc66cdTWEULkeJpz3Ed2PJF5mTG/nVF3jmVjqW2gsp57i5pxppK42iRy4ipLpiQxCqo2Rbw6F3j/vEZLyazvYbgd9EaZZjYyO8+iaWGemcEejHKuTXI2ne8jTMlANNMSSbJMmI0yDsbJFR6gtoGTVcNpZSm0QMr02cmqRUrBvDCYF8yUr5haqid9Gp1P1YeHvamllII8U+yNDHXrOdts8CGS62SkWhqJkknHt6g67pxVvHtSMc4V1idX//ON5Z2jMYfT4qURDkiNym0IrBtHbhSF0Ww6y1nlGOeKSZYsIDadp3HJfFVIuKhTReT75zXT3OAmcef7ZZTk/rpi0ynGmWKaa1bRYb1kVqZzXFnP+brjzcOSN/bHGC25MStYt46zyqKV4M39glXreLhoGOUaH5NVivUBGwM3ZiWPFk2qXrUBLSO5ksxGhmXr+WyezvNH0V59lKjQ0xMQHyPrxnJ9Vl5Z57ej23wZQXwVdgiDr1XC0FT7k42BfA14pXiVXjNPr+ujrPvpZbeDzemm4855ldJnUpIpuXtxLVxHbR3j3FAatavUut7ruJ4O7YcQUw9IKZJXU4g8XLW0znNzPur7GnpsgINxxqJOTvW5ltTW8mjdcjzLaOzzzTzbS35bl5EZxVuHY+4vGoySu9ZGVwZZHyizZIFQ2/SzlIKjseHeRcO6sszzJBjftI5f/9YetfW9oelVEnY5olIYxd4oY5Jrqs7t/MG231EiEblq5Hi4lNw9q8m04GCc8ebBiMNJTgiBexcNJ5uWca7Yn2S0LpLpiPOOOxc181H20giHDcnxv+48+aV05TgztDZwtm6pc8/+KHmEbRuCSyKny4bWBVZ1x7pNurC3DkccjHNq61g3jvFUpb6dpeFgklN3nslIczjOCSFy97zmM0fjJJSXksNpzt44Y9045qVO+rbOo5RIvmkh8s5xip5WbeD6NGd/krMXoLaOpktRwluzgr2RwbnInfPquamkl01CPmxU6OmISdM5lrXFSMn1+RMC9iq0VN8pPdL3u6/V0FT7k43h2gz4VOLpF/52sJFCJOF+nzIDmPS2B8ZI9keG1ka6EMiU4miSE2J8JrR/f9HQWZ9a8lxysle9EWc9StEsHyLr1lJqiRhnSJG0ZZlSHIwy9oqcE9/2vQgly9qyapL9gIgwKxTXZ6NnCNHlQbZz4ZlBVivJOJdsOkvnIkYJNq1jlClu7eXUPnBv0TDOFW8elNycFi9NVxRGcrZJ6VijJC5EQiQJ/J/S3aXKM8/nr894Y99xVnVUNhnG/sC1KRe1pW49m85SaL3TW7kQmeSKRd/3cpybF0Y4VEzOu6k11JPXWGrlI1nVguCvHoN1gXuLDUZpRnlyiW9aT2fTtTNS8mjVsK4tRkmkTBYQqjRMCkPd+d46RDDJUjUmCPZKnQie94wzzfGk2PUcnGQGrQWzwrA/Tq2Sqs5xfZrzztGEZWMRIkcimJaaUis21nPe9y68nEoKMSKFeKm+52VRY+vCjkQ9HTEZF6n7wsm6Y1w8KQr5OFqq56X3x5liUhjMtljiKQzC8Q+Pofjgk42BfA34VOFFL/zLqUBTS4QAIST3zmvKXNK5iBKJTNyc50TxpFfdu6ebK/YKSio6F/jmozWTQjEpkzjehaQT8hHWtWNZdyyrjvdPK6SCzx1NErlzSRR/MC4oMsU8pFTRouo4ry1N51jVljLXfPnBmsYG3j6cPBP1eBEx2Z2DjUNJifeO988rlpuOstC8MR+z8Y639ieMC0WmFNNRhgvxSrri8rns+sH7wneUmSJX6rkRlW0xwtZktjCKvXGGkokwjnLNonEUuaJqPevG76J+RgpKU5KUT0/W9/Txbf82yzT3QmDT2dS8ute+ZTqlcw8nGZ2Lu4bgmRKcbhyfOcyZlQbrFRehS+R63TIpNFLAbJTtSKT1jrO+Gfmk1GRKcFE7ZiNDFyJHpWKc6ytFIJlRHE0K1vspLTzK1c6hv3HJxLbMNG8djri/qNO9JSVCQttXnuZGJid3nvja3T2r0VpcSZe/iDBvo0IhRM437TP6xs6HndnsFgejHOcjwUMVP76W6nJ0rdCSs6rlmyfrdG3G+RXiOAjHPzqG4oNPNgbyNeC14zs5u32eAHWbCjyeFoQAo0xxUSWS83jTcEOWSJmsE842Fi1l0mZZz8NVw3tnFaW+aq+gFKw7x6TUu5SXkilVKUOkdY6vP95QtckmomkcX/VQW887xxOKTDMrdf8CzXAh8LX7LesmRaqOpgXzMqN2jm+dVoz6tjSPlg2NCxRacm1W7AZGHyP07vnbc2CM5OZ8xJlqCOvI/miEkgofAk0dCTEQYzKP1Urig2dj0/5eXk9hFJPc7Hy55n2U5Gktne/7N4bIC01mvU8NyZd1ao7dukSWrI+s29Rh4J2jCUbKZ0jDNNcgYNW4XdupWaF5vOyoO0+hFWUmyXRqNTMrk+3GVlB+UXcUJqWZlRAonapZN43te3yma9tYz+m6Q/UE4KK2VK1jf5xxOC5480AyMjpVJ7Zh1xXg6cjj4ThLliM+InjWXmGaGy5Md8VE9mBsaLynWcX+nkqVmrmRnNUdt/fKj6Tved7zsNU35lpdiZj4GDkc51yf5c8I5T8qntYjpZZdSZvnQ9rWZeI4CMe/PQzFB59cDORrwGvDd3p2+yIBqnWeb52suaj6yjIlkSJwWrUoIXY6pllp6FzgYmNpbNIenSzbZLg6yphps7NXkEIwyTXEJIre6op8SPtxUXv2R4bSaI4mOY+WDevG8v5ZTZkpfvjWnGkfeZBSMCsz9icZgZiaJ+8+Mzjf8e7phrOqY1E7ZB+Vm59veHt/jDFqZ7UwyzS187tzUDWOd2ub9rMLKCVY1ZYYA8vW8cbBmEmmuag6TtYtzgeMksxLd8Ut3oWQUrZG0tjwwmsKXG1WvTWZbR2b1vGIlPL6lUcbCi2RJK2adZEyUwgpuL6X77zSLg/G3zjZAJFrszKlQdctZ5VNJGjtKTLJ9VnJ/ihjkmnO+nvBKMnGWqwP3JoXtDZgdEBJgQ+Ryjquz1OqcBupgox1mwxCSyP5/PGEg0m+i9L5GNk3OfsjXljYURjFwdhQteG5A+PlqtitieyjZcOjdcPRtNhF807XHZkWSMSO6G/xQS2GXiTIXriOTWt367hMDIvsww0LL5tEXdYjOR9YNTY1iJeybwOl0DJFWkujBuH4t4mh+OCTi4F8DXht+E7Pbp8nQA0xcrpuuXfRkGnFfmmYFKkpdAzw2eMJx/OcQvd2A0LwzbP1Tnid6dTq59EyVQWOc52aZBeGW3tlSk2FmHoWKsEkk5w6gYwCQWSaJ/f73Ghyoym0YGQUtQ2sWstUPGmwrKVIrWue0jBpBF+6c8F545L/l9ZEFfn6ww33Lmq+cGPWi/sjv9K6RBauzbioOpat5bxK5Cg3ineOcm7Oc9ZN37QcOFm3nKxblBRcnxUYJXmwSDq0a7OCiyqZtG79qLRK/SCfjo5tr+nzmlWfrFsgsjfKOBznPCobqtYxyg0KgTaCeZFRZoqR0ZxuuiuDcYyi7yaQqjvXjWPZOpaV5fGyZT5KnQVCCMnrrBRcm+a7iIAUgpuzAh8jj1ctnQsQoXOesTHMc83ZuuWE5LM2LTTXZjlNF5ACrs/LXm91mWhGJrnmYJSjdRrwOus5q1rWbfIQe6Jzyq/onFK3gBYpSKRkW81L3/LIJwsRLSWt8FxUjoPeSuQyXqbveZkgu8gVs0LT2viRIyYfZhIV+wrKpnNonTSC29S8ViKZJ5OIow2DcPzj4vu9+OCTiOF6DXgteB1l0c8ToJ5vOt49qTgY5xxOstSLcNMSQ7IgON90IATTItlMPF7X3F82XJ/lhJB0Xp3zTAqVIkYhghR8bpqjpeBk0zFWYudkX3eeeZHSaZuuwyjNpvMURtL5wDgzFJlGCcF7ZxXj3mNKS4EUaTBNQvQUzXI+ULWOu4ua23sj9scZIUSq1rOsO+5fOEJMhE1LQWs9X1+3rBvHwTRVIeZGMQ6QKZiVhqNpQaZbHi5r3r+oOOldyd86GDEbmV0U78G55fGyprZJg1QYxaaz1HVg3SRR+vOu6dPNqgXJXHVUJDsHdOT6rKTpHEoJrk9ztFY4F1AyNTB/ejD2MSKgb+UUWDWOtkvCdJNJDqapDdBJZZmNDOtGc3u/vBIRWDWWB8uGm/PU7qfuArmRHI0NYmvzUFk673m08sxtKgY46lOs276WCth0nkWTCgOuTXJuzAtChHuLmrNNtzPKVUb19hNJ5wWJvDxc1Lx7WlEoSZGlnpyFTl0JJ7nZRWFr69BCcjBW3JwVLNsnDv0fpO+5TIDGlxpyWx/IVdKlbc/tR4mYvGwSNS+zHTFbN5ZlbdkrDcTIprMQky2KlpJ1a4kBRIyDcHzA9x0G8jXgteB1lEU/LUAVAh4tG3yM3J7l7I1z5qXnmydr7q86MqU43TQEUlqsai2PVy2zQrNX5jjfJuJgFKvKApHOKMp+5r6d6S9rR+M8EsHh2FBnKY3ycNmwbl1qCE6q5hvlkrwXPD9epSjLOE+VZdZH9keau2ctlXNkUpJryVmdBrpxnkibUgLrk+N8ICJEqi6su+Qp1lnPv/3WGT98e8bRpEzVk/0geLJuKYxk3Ti0lFyfFmS97UbVBRaV5XCSUxqNMYLH6ySwjzFZXxDhYJJRdYFR/nwX+m2z6qNJhuyrAC/qjrO1BWyf3gsEIPiI6M1sN51jXporbYK2g7ESoo/6RHxIbZhWjUtkJdMYKfsqTEvVBEZZsunItdrdV5f1MVpJZjnMxhJrk5FupiS5Vqwbx8anyOfNvaSrcz5wvun6lkQdZ5uWQisKI7l3UfONkw2dSwL7w3GOlOneuzbLGedmN8EIIfLNkzXvnm5Y1klfOCk0VeM4muW7RtGzvoLS930plZQcTnKKTH2gvudyZGpLgA4nOQejPJGxpwjbR3nuPmgS5ULgbJM+vz4rMVJysumQpCb1R+MU3Xy4qDnZdOyVBrMRxBipbSpPHYTjA74fMJCvTzGaPqRvpPjQOo7nYdto1/uIUkl38rS+JfVu45nPtp87n+zFLw+ozictjHWRqnVY6zG9GPrDmKo6H9i0lhBTpZwxinGmORgHLjaJEMUI12YFeT9QrFvH+aZDSsn1eUGhFed1R+d0qqArDUkenWwPzqvUXubBouZgkiGJlFrw3mlFN0uu8lr2gncBmy7gfUpp7ZXJU+t80yEk3JwVaCkp9XZAiiAiMT6paGuc52CimXq90yQlkbtm3TqESAPVunZ03jPKdEqBRfARGhs4nORE4P3TmlUdmOSaealBSB4sa8ZGIZTgaJozLTUn65ZV0+FjZNUkkllmmmluWFeWs3WHiw25VFyf5+yVGZ1Pui8tU/PkTKU+nFomklY1jsckK4azVcu7Z2sOxzn74yTEb2wkhgAI1rXlok6C7EdGoYVglMmUfh1lO2sLLQWbxnL3ouLhouHROkUw90qDkiktmWvVN3HmmYiJlIJ5mdF0nlVMgv2qe2IuKqXYeZh1PtC5wKwn2NYFTtepAGBjt70pRWpQ3iYdXucinsDjdcu8NExLw7pxvH04ItOK03XL3YuKf39/1bc5ijxcNtxfREa55v6ySSk5AeZc7lpM2RDZH2uyvuhi2vf8dH2BRYipqfcWp+uGh6uW0WUCtO56Q9z8YwmyXzaJWvWRwMvE7Pq8ZFxonI3MxorOwuNVw6p2HE2yHSGs++jwtvXTIBwf8GnHQL4+hXAu8P75hrvnNV2IZFJwe7/kzf3xTpvyYRBC5Lxqee90w72LJvlE5YrbeyVvHY6ZFxmLJjmVn9cWAeyVGW/slzsN12VtyKZxdN5yOMpofHJcf++swnpPplMZ//G04NZe0h1FIESe0ZSEEDldN3zl/pK7/X5pBbf3y54MKXKd3NRnI4USKaoTWstF1WFjIFMSLYGe2LXOcyA1e6OMzoVknqolpZF87cGGZWNRCjat41dDxPuARHIwzsgzycEkp9CSxqXjWjUW7yOLxvF41SBlsreQAlrn+OZJzShTLPrqwZt7JaVWLGvLrb0Ro1wRAoQYMFriReDhecuyTtqrk3VDCAEjBI/OW6KM5FoghGScSdQstTban2iOxgWbLhl9TrNEjgNpIO5cIsTWBXKjaG3gznnN/siwNzIIJTgcZ+RGEWLEerioOuZlhpGSGCPfOq0QpAF4nCk675FCMhWGZdPxlQdL7i9r3j+ruL035sYsp/aei43jzcOCexc155uOW4clwcNJ1bI8sVyf5rwRociTtcXROEMALkSmhebxsgUhqW1g3TqCj2Qm3d/75bNp7BAi3zpNUSfVRxUzL7jYdFfMRXVP9gqdJgIhRM42Dd863eBipHGBw1GGyTWNTT5uRulEOBysW4t1kXFm8DryYNlQGknnPavaMc5UalS+sSBSivrhwxVeRH7D2we8czxl1bdputxiansMi/r5z9y8zDivW776YEUAmj6deTwtGBea4FNrpY8zEXuZt5QQycX/acPg0miq6DgYF8QQabxnv8x2qdBdQrRv/fRxKy0HDPgkYCBfn0K8f77haw9XTEvDXm5onONrD1cAfPZ4+qHXs6g7vvF4zYNlS2d975geuXPe4ELkaJJzsm7ZtH7XH++86uh84PO98PayNkRJwcmq4d6ionGRRdXS2kRyFrVlVmjuX9TUthdIz0uOpsUzwvxF3fGlOwvuLeqUwiKy6QL//t6K40nOzb2Sa7OCcW7YtB4XPZNcs2wsy8YRg2CUKzoHiMAkSyRhYwPXpSBqyQRoXGDZWGyAzx6MQaaefrVNouFFXXNet9zaG6GV5EEXGGWSTeepuuRkb7bkJdPsFTmnG8s3TysyJbgxz8mNZlE7rN9wOEkDbG5k8oWSACkCcv9ccjA1O4G0ljCfFLx5OOLuRZs0UAoOypwi1+Qm9ZF0LgnUMyU4a1JLJaTgoDQYLbmoLAfjnGkR+ghd7HsNil6fk1otSSnIZNJ8nWw6bu4l1/+q82QKHi07Vo0l+MjRNOOHb+3R+cD7pxVV57k+HdFYx3mdUnajTFFmmqYN/OrjdUpBxoDWKXqZTSStTZqllAbOeLBsuD4v0VLg9kr2RoZ3zypaG+icT4RaCd4+HHE4ebZL5emm4ZunVUrh9pWEdefRUvQESTEuzDMpr/NNy8kq+a41NrBpPPcXNZPc0FmHQGC0QGsIUZJnkhDhvGpT+loG1j5yNBEYndKb523Su9VdSJFEFxkbiQ0RJQVvH42f22Jq+0w+75k7mljWrSeQdGORuDMSnhaGKjrEx6wqfpm31MHIsOn8S7VbXiYC9zQB3MoPhHy2onPAgE8jBvL1KUPTOe6e10xLw6xIg3mm0//3LxpuzssPNfN1vR9Q3XkEyXgyU3KXjtm0nnWzQSrBtDSXvK6S6PvRskUpcSUFMcpSe5Y75xXXJjnr1nI8K2msR0lFptOs+sFFyzvHY2yIV0wmt2Xpj1YNZ3XHrDA0zjMfZXgfuXuxobKBzMgkfC8NR5OcZZPcwrepzOvTnHuLmqbuyFpJFwJaCt45GqGEZD5RVG1Ad45ZnvFrrk8I/faNUkgheLRsCcDGex6vE4m8Nis4qyzRk/r59Y2Sr81HKCmZFIrMCmxIA64QybS1zBQba2ENR9Mn/Ri310HEZD9xMBkjhSAAt/ZKXIiMM804z/jq/RU2ePLeALWODqLn7kXFedWihGSUKxrryLVklMlUDdk49vqI4qxMkb95mbHpU9YHo3yng9qKv/dKRak1J5tUEblqPFVnaV2g6S0iJrkhzxWOyKTIMBpyk1FkkseL5NauZNJaGSW5qFr+9YMlh5Oco0kyQS10imC2NuKLJ+kuJVNU5I39cUr9LTtu7pdMc8PeWHM4Lq4Y0m6F549XbV99mFKGAsnSWRZVSrl+8xT2R4ajcbFLeW01TqNccdhbhrgYeLxsudCOUSYQOkV3IKI1jILmce9RZpRiXGRsOovv3fGNltSdo3YeRIpmSSG4uVeitWTRWOajjHHfwmmrh9w+k52LzzxzVet476zi5l7JKNNE4u7zdeNSWv4Viddf5i2lezE+vEC75cMgrh8wgIF8fepgQ6QLkb2n3KsLrbmou+Q6/iHW42Okc0kUDekFv/s/ptRP4zxTaXbu3dBrfvDJyTtKRk8RPSEFLqb/fYwUWqa0oUh+T9Pep0oqkdy2AyCfzIyTrUOAGDFasmwcmRa9ukjiXUCQCI6PMVX6xciNeYFWkuNpxlfuL2ldwEiFjQHrPbMipzAaT0yeWyNBbT1KCurO8OV7KzqX3Ntb67moOt44KHE+navTyrI/zuisRyAotCJEj4+gBDjv6WxKy6QUXWo5Y0PE+4iIgvnIcGtesmxSQ+/aek43LfcvKjZNEonPC8M4V+S6xLnIRW05muUoITjdtIlkrFPvwoBAwe4cRyKnK8951vL+WcXYSHwU1J3j2rTg2qxkVhg6n9Kysb8PtjooHyNN60AKfEy9FU9WyR/Mh1RJmRvF6XrFL99f8vbhCCMU81JwurZoLdM5D4HaB948GDPrtWyPVi1CpB6ZNgS+cbLeGYra8ERfZn3A+xTtebhKDdJDgCMXmO0pDsfp7j7ftJxXXeqxWKco06ZN17NznjLTrFvL+ablrEpEXorUcHt/9KRRuO1bR40yDaFm1ViOxzn7peHxqsP5gOzbLGVG8q3HFavOkRvBWwdTPn884azquL9oMWrNJDdY58mN4HzjUVoSdODGPCMzqk/lQus93rPzdNs+k3Xnd35ql5+5GNNzkSnFtGDnRycQrDtLbiS397JXksp7mbfUB5l+Dq7sAwYkDOTrUwYjBZkUNM7tIl4AjXMUSmI+ZNpBCUHWm2AC+JDE9j4k9qClYGwUiORHtBPR9wNloVVflXd1hhtDJFei30/ZN35OlWVCJgd4HyLOBkaZZsvrtjNjI0US5gIXVcuytjuCuG4toyw5uJcmVQZuv7ctBJgXKaJwOMoTqeu9u0Z9heL1S4L/Esi1BC+ZjzWrpqPuHOvWsjc2jHNN65Kru1LJPFQIcD5SGJMKEWyqagwism5TFGfVtCgpOZrkTEuFM4oQFceTgsNxTmEU751VPF61tM6RKU0oBHWXBParNqV2jE4u6tf3Ct45mvCNx2u+dVqhhOBomlG3jtYFWh/xES5WLVpG7i4skDy4jsYZ685yODZMixHdpYEQ2A2SSgguqo7TdcusTETlYtPxaNn03mQK55OuL1OKR8uaXAoO+nY7yXk+6Z5khFmerBjSTRHx/b2x2HT4kKpP674Io+jd9ae55hsnG07XHfcXFVXrmRaam3sltfW8d1aT9dGeR6uWunPcu2ioO0fnIoGkkbPesz/KuHtRcfe8ZlU7ymNNoSVIwZ3zmnlpOJ6VKCGQwMNlzcN1qn6trEcIwa39kpvzgrpLLaW0lNyY5XTBMc1z3jwY0TjPqrFcm2TUnWeaG6SQyVZCwV6peftgQoyBs8oyKw1167lzWtH5yPEkZ9VYprlhWXWcrVserRpWjeFgnHpOuhAQIj0XPibLlPQ8pHtVi2Tn8arF68/zlvowpp+v2pV96Ac54JOIgXx9ylBkyd9oq/EqtKZxyWrgB69PP7TYdtse5XzTsmgcy6oj05LWRXItGedqp/la1Rafp9l41TrGeTKoBJ6Z4doQubVX0vnI/tjw1fsrLqqO1qcm0p0NjIzgrLYcTnME4krfvCLTXJsWGCX41mnTp6U855VNLtoqDZ6fORzRuUDnw5UZdRQwKzM+dyy4c1Hj+mjCuknpnc8ejq/0SGyt571FDVGgtYAQsB72RoZ148kzwWFpAMF5bXlzLzmlb/VEnXO0FnItaKJImrMYeLSsWDe2j5hork1y9kpDZhRSCkZZMsF8/zy502tEMmZtHAfjjLOqZVE5Dns7h9KkbX7hxhTrI0alRtg+BB4uWkLvRVZZS20jR2PNunZcSMumdfw7H3E+Mh/lHI0zxlmKdB2MDFUXeLRuUpRtnHMwyZOpq/cs6i4J+E1k2TvpH88zqk7SxeRsXvb6wCKTbBrP6NqYzkEXAiJCnisOCs0j26W+l0RuzgvaEHiwbvmhaaqIczHgg2fVdlgfGReGXEvKXj92Od0tJXzrtOLhstmlrZ2PdDFFJq33vH9W01rPW4clR7OcRe2YlxopBSfrjlGeWkcJAXfPK6wPHE1KGudY1pab84K3DiesW8vYpIbYdaEJRAqjEQKWdbLqkEJwvrGc1x25lhyMC/ZGmoerjkfrBiNTg/e2c7RCci3POZqmVP+d85rStPgI+5OMqnMsW0tjPfujFM0b55qjSUbnU8Q6+eYJMiW5Mc85npav7B3zYd8fL3rTvCpX9qEf5IBPMgby9SnEm/tjIGm8LuqOQkl+8Pp09/cPi3mZ8c5x6rN396Km7hxllqod3zwcMS9SS567ZzXndYdAsD/OeGOvvDKLfXqGO80Nqzbl4O5mFTZoJjFpYQ7GGXtjgyZpoZ43Mx5nmjf2RzgfOdskEb2Wgh+4NmE+MsyK5IVUZvZKpRg8qdZCJiE6HkDgQ0ArkOrJS/2904qHq4YQIoqk67GxxUdP4wSz3HA0LXfkLobIjVlB5TwPFzWb1vHGfkkI8HhtiUTeOCihT+muGksg8oVrGeNCsXUL8DH1Iby/TDYVuU4RxsZ6IEAMnK1SBMqHyN3zTWpcPcq4Pi84WXW9pkoQosB5x/nGkmnBYuXIjSQEiCL5ex1NMx6tGr58X7A/ybhjNJNcc9xbceQ6kcH5yOyaMRsFN/dG3DurebBqaDaBMlOMC4WIghvzEdcmeWoqLSQb6/A+adquT3M2rePOoiH6gI6CcWn44VmR+i4qTd1aaufptiL9yvJ42VBkye/KSMUk10QBtQ1sg2jbdHfTee5dNEyKJOBvXeC8ajFS8LDrmFjFJEvtf97YT4S7jp4Hy5pMJq+0CGQ6tWO6OS+5v2iobRK6TwuDkpKmc+RK7SolW+cZF2ZX+bduU9RNCMG1WbL2aG0ghsjhdESmNSfrjsYF2tqxVyg+fzxhXBqqznNRp0nF6brhneNJso5QkgcXDSebhvNNy+euTXjrYMy8zFi19srz9sZ+9j1r1/BxXdmHfpADPskYyNenEFpLPns85ea8/Fg+X1IKDifJZPIHbkyf6/O1/fxFPl8vmuHu67xPQyWSoERqMZNJRSSRk5u9TuvpmXEUMB/l/IZ3ypSiudiQKUWRKawL3NgrdnqZy5Vi2/SEFvBg2TDONGWusS5gQ2BeGJou2Vg8XresO8feKENJwcNFzbTQ/MTnjnZRskxLbs5LRr1J6s15sTvWH7g24b2+j6MNgf/rvQsKo8gzyb2LhkMtmbWOynlmo4wy0ywrx7xMA/PJsmXTpt6Kuo9aNTb5lrkQmBQ571yboETy2VpsOpqtnUSh+8bQ8GDRsKgtj1YNSgjun2927YtGhaLMBMum47x2fPZYEwJc1JbTTYfRkpt7I043yb/pZjm6cn+MMs1nr4/xMfCVR2siyRC0yATXJgXHsxwlJbf3CqQQLOtEqGoXQAhuTDMiyc3+l+8tmRWGg3HB6aalso5prri/bJmWqSVRADZN8pvTKun8UoFHYF1bWh+Y5EmQf1a3GJVSnVKmpt6tjRSlYl4a9sYG5yLLtqOyHt867l/U3Om7DrxxWHA8KyDCg0XLGwcl7xyPebzqKLKkXVu3lsr6K1qqFDFOJGDbtzJGUEKlpuxFxoVvebhpmJWGTGveOkxp3GXT8eCiwYZI1fndNcykwPrIonaMc8fBOGdWGN60I+rO887xeNcLdF9/+xGlT1L67nV0zBgw4DuJgXx9ilFk+kOJ6z8I+lJPum/786f+FkKyTFhUHQEYZYqpMIwKQefjFZ3W09hGr1ITZM0kz3bNn3Odqv2EFrtKMdlHss43HRe15azqOFm1VLlj1GmmueZwlDEbpfZDjfcYJVF92XuMkSR1E0zLjEwrJoVm1SRz0EmhuTkvnqQ7evPLMpO79STzTEHTetZtB8H0ujIBApaVxfnIrVjSOk/rAloITC5ZtSmyJ0iaOBsibx+MKYxi3ViqLtCFyEXVMT2ruH0wYn9kWJy2bBrP8SzH+cA3TjdU1uE8ySm9chAblrXk2rTkYJJxsuo47isuT1ddqp4zikXVUVu3i3xB0uFlUvHm4YjGBc6rRICilZzVNe5xYFIYMp3IdWNTs+naes6rZE2xN9L8wLUpRgsWG8f9ZYoY3poXVNaxahzfeLxh3Sb7kcxIFBLpk7cXMXK6aahaT2ZSE+ejSUbVenKdiGQMHffPa7JMcbJuOZxkHIxT6hQJZ+smVfa2nixLgnCC4FcerpiNNKvW8rWHji/cmHF9lrPp/Eu1VNvfT1YdUghaH9gbKUaZpnVJryeFoHEpWritSpQi53TV8njdUurUBaHzgU2bIllNl/pGZjqRSqMkppDPWDN81IjSJzF99zo6ZgwY8J3EcH8O+K5gUXecbZLAeNG41G5n2dA6T67VSyufLldMaZUGh9Q3Dg77PnyN9bvS9W16onWeqk1WCxJB1TiqxmN9RCqJi5FcKpB9s+Neu/Vk+BF03pMZycEkY14alo3lYJwx7Q0jz3uLga2pbNW2RBG52LQ8Xne0nWfVOcZGobXkcFRQtal5c4iR++cVJ+uORZ3sAZSMZErgvEgRqxj79J5m3VjOK7trizPKks5oUzvyLP3+f//MHpNc83/qc84qS9N5Nq1PBq1G0bmkYfu/vVUioiDEgIgCLWHlHNanSr8y01Rtim5u+1i2Ngm93zqcYpTkaw83jDLJorK8f9KSGctnDkv2Ss2ichzPcqQXnG1arE/monfOatZN4GBkEAg2Njmfn28s755suL2fLDVO1h3TXteV6Sd6w68/XLNqHZ85nHB7r0RpwTceb6idS+neRUVrI9pIin6SkPpgggtJZyViMtXVUmCU5vZ+gXWBx6uGSMHBKOPRquXOWcXNecm00C/VUm01TaVRqd+ndYQgUkpUSvZGhkgir1P5hMxGkrVH1TmWTZeug96mhnPeO1vz3qlgdZwiomUmeed48rGjW5/E9N3LzF4Hy4oBnwQM5GvAa8fllEGyJ7Cs276fXu24eb34QJ3K1T59UNeBg0kSil8W6EOqQjRSsOpd3LfNq3/18ZppnjGtbO+SL/jR23MyrYiklOXpOnlD+RCxwVG1ihtzjRSC06plVbtdg+nYu59nWiKFoAuBX7q34GzTsmk6Hi1agoLluiNIwV6pOShSNGTVWJrO8q2zDUpIFlVKOe2PMw4nOeMsWTLMS4NSsKodtfVpABVJa3Q8K7i9NyKSWhst+6jit04rHq468kzy+etTzjeWqutQUjI2GqVSv8hFZem61B4nVYwqlEjecaVWCBl5cN7QhkDea8VkJnt9k+DGrOB80/Fo3eFEYGY0F43jaw/XaCkotKTSiexWXSLZWqQIzvtnNUanClvrEtnKTOqDmenUhHlWaqo2VcZGIFOKg4nh196ecX06QknBsk6N0pVMqc9In6qMkZFRfOZ4zMEk3RfjTBB8QCvN9VnB3ihViEYiZ1VL1QXOqhZiRBBY1pbzquPWXslbByP2y+cTk116W0muzwoerZLWTEhBDBEbIpNC8+5pzUXdMs0zIqm443CWYZ3mm483CAkjrRiZZPT64KJh0Tla69mfZtyclYSnbCdehBdFt8aZ/kSm7wbLigGfdAzka8Brx+WUgRR9P71CY12k7TVQH5TuuFwxdW2W79Jv2+jCVqBvQ/JpShWIEetCcgR3KUWZGcm6Sd5Oo0xRtcmG4KyPKE3zpJ9aVC1diJRGs6gVZ+uWVeu5vV8yLQxN5/jm6ZpcSbRWnG867l1ULOou6ZJc5LS2NDbgo6fUks5Kvv54g1SKEAIPVy0/cnvOwaQAIl99sGJZOy7qjpExZEqyPzEYKXGh66s7UzRnlGluzQqKLBlzNs6z6jxG9elZrQgetIJbewWCkso6jEiu8OeblmmRih0u6pTiKpTgWycbbEyDNSRSd7NMyezGedrOs2kdD1cNEsG6tTiXokjzkSYiUQJOli1GCPYnee9HlUij6is7Hy0D0yJnWmQ8WNTc2i+JIbJqPZlOaehHixrn4UffmHNtXrJqLPeWNZlUuwrTdeuZFoaNTQ3AbYzMy0DTeeYjzcEkR4lE5vZHGT94s+B8Y3m8bJPWyjreP624v2zZHyc7jMp6XAi8sVdSmHRvdT6yai37+gkBex7BmRY62Xm0HhtSVGZeplZNhW4S6VQNB6Ocw1lGrhQ3Zymatm49o1xR1Y7/6+6CdeuZF5o8U8QAm9bz/nm1q8p8GeHYRrdSNDW1THq0apmXz2+O/klI371qy4rvJj5JersBrwbfq8/VgE8xnpcy0FLihN/10/uw2OrNykw/8wK73NA7BoDIorZJb+MjR9OC/VGGc4G9keFwkrFoLJ8zE47GyYriouq4aJJ4+/Z+wTgz1NbzaNFw+6DkeJLc1LVOrvp31zWTIuNs03K66riok/HpReMoc01hIusGXARtNFoJrPMp0qMV81GOUZJJYdgf53RdatosJUxLwyQzFJniZNXSWIcPmokSHIxTI2frQ68NCxyNM84rSxcCZSZZ1h3vnjjmI818pDFScTQ3HG97N/apz3GmGZnkjP5/3V3wmaMxRkqKXLJuPbn2FLlCkkT0y74AIUR4uKj5+uMVe3nGprUYJXljPmLTOR6sGkaF2pEvG1KPxG2UKNOSca4JMZFrpSTaei6q5K91Xlve3E99CgutkAWMjeKsbtkf58SQ/OhciIyU5nhWIITEhUCMkXlp6Fzc6bVuzHMOxwWZavn6wyW/+nBNFwL3z2sWjaXrNAejnOMypzA51gfmI8O0zHAhPhMZel767mTdcW2ac3u/3BWlVK3jrLK8sT9mr8w4qzoa65FRcGNeMM40m86R6+SC/83TimVtOZxk7I2TNnHddNy72LDuUho2NU9/vk7L+dQ6qnWeVW8aq2WKMq7qZHj8SUzfvSrLiu8mPol6uwGvBgP5GvDa8Z1KGWyFxiHEZ7RXnY9IkbRhUkisjYyMhCg4mDxp2C0QSJn+KSkojeIkCLRWXDSpsfgbeykykakUwZAIYowsKsuitszHGUZLjBasG0frA0RBrgQyk6wah4jQdp4LHzkaB7JMYoSkth4pBU3nuT7LOd9IprnhnWtjMq1oXNJZGa24PivJlKQwisalPn65UcxLzbr1HPT6t3sXNY/XHdMiGcU6H7h33jDKFdemGUezAiklt/YKNq3j8bLltAIbLaWROOf5xvma/X5A+Nr9BfNxii4sastnD8aMpObLd5ecVo5Zpqms56TqEDFysemYlRmTTEGEx6ukg9srMs5ri249RV+VuF+mRtCPVw1nfdo0pVpTV/Lbe6O+zZNlb5Rxe7/kqw9WXNQtI6OpW0dlHV+4MWWSG5yP3L+oybTctQvKjeT69Ileq7OeZZOarj9ct9TWUyjFtNS4kCpvx5lg1Vhu9df+6cjQy6rvLiqL84FNlwopHi8bZiPDrDCM8hSNq7pUULAlc/ujDOsTochUTO2WsmQBEnzkfON4tKp56yDSuQkx0y/UaSXrEkvVpglA2RenLCuLyyO390ouavtKn8WPg48aBfq4lhXfTXwS9XYDXg0+qffsgE84vpMpg6dfaNuG3grBxKT2RfsjQ4iRTAMiaXEa6zmaFr1I3/YtflIT7UJrauu4e94wyQyjTKe0m/eECNZFrIdMp6bYSgiiiGgtaWxyo6+6QNclr65RlkTbkzLDKEHnAi7Co0VDphXW+74JcjKjzbXCh0htHZ0LKdVkJJNc07nIpktaqJt7BfMio7E1PsSd79ljKTieFDSdZ9Wl6F8mJTGm6JWWklXf6mfdeQgprXa6bvlVEek83BEVRiQS9OuKtE+bNlC5wI29nPlI80YouXMeebypKI0iN5q6CxxPJVmWuh68sV9wUSUnfBHBh8DIKIySCCW5MS+S75qIVM6T6eRL9sZewf4kR4pEaie55tqkwB0HYhSsWsc4U+yNzK6aMesNgbO+etDI1GZne585H7izqKnawLjM+MG+UrKxASXABp9Iiku9Ejed4/4ikblpZq60/nk6fZcibnCybth0yRss1yr1Ca0suVbsjZJNxTg3V8jcdv8eLBsQKvmKCZGqH5vU0Fwi2RvlbFrPOA8YKVKlpFFXrGViiFStQ6onTauVVLTO03Seaa7JtHylz+K3k0b7fosCDXYZ398YyNeA7wq+UymD573QRpnm2qzE+cCNvZKTdcfpqOHds4rTdUeILddmBUfTnDf2SoQUtC5Q2xQl8evI47oFAbVNg+/+2LCoutRjUilq62id5XhakClJppNn2ThTyaRVCdZtpO0cZaYptU6Vb4VmNsqwa48QitJIbAxpgFeSX3d7hhSC988rYoRIYGQM89IkwXk/O942PJ/1Vhjz0vBg0SS7htaxai1nG0vlPJMsYzZKVXZapXY5Knq+deLxAR6uknXDomqpWo9SqT/keV+4UGaGi8pyYy9VpVoXWFaeItP8wLWcxnrOqobDcU6mFN4HZmODUZLHq47/4I09OIJF7Yh9F/GRUdycFzQueXhdmxXMRpo7Z/WugMAowdm6Yz4yOBfS+Rfww7f3KI3C9ma4rQ9XiMTnr00ZZ8mQ9en7rHWexSYZ/uZaMh9ljLTntEo+a3nf+HvVdhzPZowyQ+Mcp+uW6XW9W9eWhC1ri9HJe6zqUiHF6arlc9fGZConkKpHO+93BFL30abLab7LFZPrxvLuKayq1IvSR2is42iW8fbhiCJT3DuvyY2gcTF1GejJk+yF/mWuqLpA63xK8YeADzDKJEpL9gvzSp7FywSqdSkFvj82u2bn22f0edv5fosCDXYZ398Yru2AD4XvlCD06ZTBx91O6zy19YwzjQuBEJJeaptOORjndC5wuhZcnxV01iOFJNeSvTINQFIkT62qczgXWDcWF9M6MqF4tGrxMTDOk8g5EpEipSgRMCs1s1KzV5rUB1M1SceVKaou61OHcG1S8oPXxlQukBvDtFDJxV4Irk8KAhEXBaeLetfH8Nq84GKTCgZ+8MZ0d45ciFf0cvMy46LquHOR/MO8F4xyyaqOhP68SyGwPnlw2ejAp3Y0rQ0oCUJIrLdMiowiU6wbj0KiJKwby9hM2Cslj1Y1nfN930PHvFC8tTcmU5KN9UQpkKSKvUwli415mTEfpeuzNdXdm+S7akAjBeebjsXGUubJnLTzntNVy93TDSFCFyKHuwimougH9xF8NCIhBUVmaFxLY5OVCETWteNerMmN4o39ks57ztYt87Hh5rzEB5KuTUpWreX+ecV7ZzXWB5BwfZaTSUmZKzZtSm3ujTKmhebRyrPxyWLF9VHX56X5Mq04GGfcvUhN0KsukBnB0STnB65P2B/nLKuOk03DtWnBJE/Vq5dJixKC/VGGkdvG9B6tBPNC7yJqz3sWv53ncVF3PFg22H7y0jrPnYuazx463twfs2rtcyNbIcbvuyjQYJfx/Y2BfA14KV5XKuDjbmf7/dNNx/1FTecCmVaUWmG0JFNJTyMAIQSfORyjtSS4wKpznFdp0FBKsl8aQgz8yoMlj9YdhRYomaoC90YZhVKEAG/tj8kzxUXVsWk9h5OcB8uGQivmZcakMPzYW/uMcsWqdjxcNzy4aDAiDarGSNZd4P3zDQeFYW+csdgkj6dprvABTjYtszL5bFnvU3Xo2NDZFOXxIT5XoxNiamnzzvGYTArunFVkGMrCE13kbGWZlYpsYpgWmmUtOJ5mFFrSuEDdud059T4QgmRWqL6RcxLXb6xDOYFG7Jz4755XjPKM47ng4aJh3XmOJpo2ONaVo9CB++cV09ygpQSZXOCVECyrjk2Xqu8gpeYOJhl1F3AhpDSlEKw7z6+9NePGvOzTesnM9HJ05DKReBmByLXioDQ81qmDwUXlOGkbVm0ygB3lmr0yZ3+U2mJple6lGOEbJ2s2ncP7yEXVEkgRp/fPKqrGQYDPXRszygxRxF2ka1YaWpsiX50LFL2v3fPSfIu6o3ORd46nHI8tZZZ0hjdnBWVhqK3jbN2hRSLT8zK1gGqsv0Jathqycd8twceA85G90fNJzbfzPG6jztalqtPcSAqTseks3zqt0mQoiudGtka5/r6LAg12Gd/f+LTdzwNeMV5XKuDjbufy98cmpWGMktyYFUQROV1bpoXepRRznbRgdYisGkdhNN7HflDdsKhajEo9H11UO/3QvNTc3h9xtrEEYFVbVk0aaG7MRgghEYCScDQpUDL1+Mu0ZjrK+PzhhEXreuG34t6iplwqlp0jnNaECD7C+6c1bx6M0DIJ7o+nqVrOhcC1Wc6isjQ+4Bv73MF7m9LItMQYyVuHY1Z1ijqsnOPaNLXYuT4rUVIwKzXXZkVyyS80RgoWjUUJwajQXJ8WCAGPlzWnG8vnjzO0EFRd8hq7vVdwa2/E+2cbvvZwxcPFmseLBk/gvvOUmePtgxHH05xvnqYWPrf2x7vBJlNJr2T6NN/JuuWr91ccjjOyTLGs+nRe5/v+kOUVZ/fnRUc+iEBsSdntvZKzTct7ZxUh9s75AdBwOM7RRnJWWdqQqmLv3K1Y15YoEnGse73dZ44nHE1Tq611q1i3jsfrto/aBUZZ4MBnyCDIjeLmXsGszF4YVdqSmVGuKYzicJwzH2U8XDbkRrJXGE7WLYvWcXNepFRtue29KZ+rIVvWbmd5cTDVL9R1fTvPo4/xSrp+e33GmaGzLXfOG946HD03slX2psbfb1GgT5NdxoCPhoF8DXghvtOC0O3gF8PHSzlc3k+tBEJK3tgfsWkdF7XlRlZwc69vcL2oufv/Z+9PY7VL07pu+HcOa76Gfe3xvu+auqonkIbnQXxtWz/gE4Q2YTAxhg+YjhiCGohIgGjEiGKgiahgAh8UYgIIBmKiH9CENH54HaIib2sehqarx6q6xz1e4xrP6f1wXnvXXWNXV1V3dVfvI6l039de+1rruvZa6zzWcfyP33/RIoAiicbd4yK2GpUUSAmLduDOvGFcJuwZR2c9mZbkWqFlXNQuNv1Va3KcJ4wyjcFzNMkZZwqkoMoki9a+oAXTDQ7rHJMyA2I1ZlxqTuueZWs5GKcYB6vBUfcGpOC5LWoAooh/Xg8oATd3CqSAMn1pReKypdEbjxKSx3dLTtcDWsHZamCcK4YgtqLvjFxLRllyZQPUDI69KkUBaRJfi5ZQgXEa+WjWBw4mObtFghQyUtmVZKdKmVYZe62n9w5BpPNLYgXR9JanHyyxPnA0jgT8+4uO2jiUFDS9pd8u4MZ5ZmkahwxShS3jhKDWz3/WhxMNHqpyrTvzsgmED7FNfJmUSRGZYKvOoNXzdj/rbmBaJXgHd1Ytz5z1TMuMYXCUheLWtIwVrN7SGM98MzDeCuc3vSWRCoWkzBTtOjLRXlzperWq7stpgsa5JpAxrw1SCm7tFIwyHduZxQutn15OQ/Za2rGv97pX23Z9bx158nzyYL0nUYJ2ey4+HJd/O7FNjL/SqkBvB1zGdby+uE6+ruMV4wslCH1xRcKFwKYzHE1eaNXyWvfz8HE6H6tXsypjUiTUveVwnCGIXn2d8zgfYayjNGHdGUKALFVkKrbKnj2rubfseI9OeGSn5LwZsC5gvOPOssHPoUojSNX6gPeBAGhJbEum0frnzHqsdbQmXLVgAj1nFz03p2U0d3aB83rgaJRzvBlwHpSKCc7KOA4mitO6w9ZbDAYe5wWJloTA1o8ytiP3xs87eV62NO4vOwbrtklCTEasC2wGwaxKOBilvOtwhPeBZy4aBhcTzWo7jfnorGSxGTit4xTd/jjnxjhFacXBKGIqgodPnayj9ZJSnNc9iVKkiaBtooWP857jVayEjfMMFySn655JrtE64awemBSxFXk29JhtslUPFh8CWaKoO4v1nnw7UXoZxnkUkW5f95dty4gYmZTpSxKIuxctWguqLPpO1r3lvLY8eTBmlGvuXrRc1APLTrNqLalWTHJNbQybdqC1npuznCpVnDeGi8ZgnePTpzEhuqgHVq1llCv2xwlqC1udFpobk5hIZDq2D9vexmMTURj/8OL7fALtGJxn3W2vFx8Y54rHZgVFqq+SzM64FyQtu2VylZA+bPz9ua7Z13vdayWZVQl3Fi31YKjSBOs9vXFX7+WCB16+svWVXAX6csZlXMfri+u/93W8YnyhBKEvbml0g41TYlJyNH0+AXt4P6+m23n4OLUSV7RzIBo5D47Pntb83t054zRhWsUKwXHfIhAsu4FbWUFvA1JGvVSqBLU1lHnO0TjnmfOas3VLmWgmZUI9WO4tWkCwP454gv1prJ7cnXf01gBxqmyvyhhlGikF4ywlUR2r3nA4zZmVMQFLlGSaafJEIKVkNk7peo9SklTGRKgzlmXrGBfRw/GsHnABlgISJZhusQWXcWXwvGr5o/sLlo2NgNMkCuwPxyOqLInVFwHOO4yNbgC7oxQpAo/slKynlndv26TzxpDoS5E/EOD+qubOvOXWTr7FQgROVz3rzmEJKAnN4JivDY1xfN1jGYkS1L3j//fcgskWmioEXJ5SWkkG55lkCc4FhsFggZuTHKnkSxKNVAlO1z1SiO00X+Bk05NuPS8vQwi4aIc4WWkc687SGcei7pEB9kcZe6OU001PrjTPLWv2RtlW+J7hvWdiA4MLzFtDvm3/Ha8M99c9e1VGIhVZ4mn7wOA8WkgOxpp2cByv4tRs3UVLLbPFQCghYhWxTJlVEYVxmUB/6mRD3VvKTG8NuR1WRceGuM0LkxaFIFURvbHs7Oetn3y1614QK2OvVKHZq3Ke3LNR4+UG8q0JffS0TBlceMnf7uHK1nUV6Dq+UuI6+bqOV4wvhCD0sqWRSLH1BAxUecLeKONsM1DlmiLRV/vZH6Wsu5efkLpcSB4+zpyIdzhedQDkieTefOATp2s2vcV5OG0GJnlCkUqqLdy0M5GdFbVdiv1RivcRhzAtNJLY3stkBJxWqSbTCaerlrNlx6RKeTwpaXrHs+cbJIJEC9ohIiBicpRdmSd3xrFuB8pUs1doPnPeIon2SkWqsDawP0rj91Mo9soMCfzhgyVaCUaZxjpItKTtLXcvWt59NH7B30RKsZ36DBgbWHRRsF2mGqUUi87QWRtbfr3BhXjMUsTELVeS43XHsrWUiWbwUcvWGkeqJE1rWLUDnz5b03Y+Vqh0JOmfrDskIEPg3qpj01u63uK84/bFhmmRs1OleOfYdAJVSs7WPamSXNTDNjEyPLFXYrxn2RiqXPPoTtSodb2jk9ERYSfX3Fm0nG4BqYJYbbPWc7xuyVN1xV/rjUciGIxnvRWFF6ki1ZrjdcfhNGOnTNmrUk427daEPSY5RSIZpRkueJ67aEi1QhAT5CJJuDWJrgooyY1pwV6ZUGUJ+1vnhFVvmY1SBuO5s+hYNnGwwniBCw5WXfS23A4czKpsW4EUtJJ4HmnBzZ3iistVJAoh4zDJZdKy2prW54ki316zn49+8uWu+946ztYdqVLcp3vFhE5KwRN7I0aZZt7GqnKuFZNCM84S1r35nJWtt2MV6No+6DpeHG+3c/w63uR4s1sBxnku6gHj/LZVFxeOnTzFuoB30ITn9+O3FYzPJfy9PJ6LesCFwKTQCGDRWlbDQGcseaIQCDItqQdLojQXG8fRKCeE7RO9FDw+KwkicLYeONt0KOJUXJFIjIdMx0W2sxGwuuosUskosF73cUJua9JcDz2nW9/DRMWKzO4oYdNbjteR2SSEYJordrYJ32a7QE2rlK+6MWbdRfPu1jici+J9KQSJjpU96wK1sVsrpRiXN/sHy4a7y5YiVRyNY2VKyJh0LhvLZ49rvAhsestjs5KDSYEPgUUzIEUk2GdJhKMKAZ0JaBG4fb7hmdNmy5yKdj1ZIvFBQ4CLTUygdqsUSSC4gA8OGxS9gXJHRRukwZNnllGes24t9WAQIppYD9ZxZ17Hz5wqjHV85mxNojVVKhnnKZNM44HbF/FYqiz+3ZeNYdMNdA6ch1GWUCSRoj/KNKvOkqfP67smhaYzlkU9MC1T9scZ69ZyYwpaKoQEFyKGQhErsaerDh9ie65IFV/72JRUKaosWihlicK6ODl6vunZrzLyRHG6inrBSZGwai174xQtEgbr6AbPKNVX2ioXAjYEtIxtSkJMdJQUnK47OueuKlWXRtl1796QTtM6T54odquEpvc0g43TmwgmRXJlTv9KCZ2UgoNJwazKXpJwzPRXVmXrKw0cex2vPa6Tr+t41fhcgtDP94lu0xsW23bNpSbkfNMzyjV7VcbRJEPISJx3IXB/2b3iQnL51K+EQG77VYGwnd5LyJSk7i29DYQgaHqDENHTrjWOfrAkWiFU9Pm7NKhedYbnzmuUgN0yY1YlrLqt/6QLXNQG4z1SQKIFJnjawTHf9Kxbw6xKSaSkAYpEcnfRbysRkicOKgbjSVSkk0MUfBdZxEnkiULKQLfFK4yyBK0UJ6uObrBMiy0LDNgrY0vOOE+VRljniyGXz57XzOuBi3rYVoUEeaqYr0Gr2J6yHgTwzHlDAG7ulFjvuXvecjBO2RvHKUglYwXp9vmG09XAZKSZZAkfv2843vR0zrM/zumHS6/HgJBQpBohYVh55NZN4N5Fx6iI3pa298zXA73zTPIU5wJNF30NH6wck0LzVZMcBHziQc1+lZAnmp3Kc3/ZgId2cFR5EllrRLH8orWMc02mIs29HSxP7JXslSl/eH9FouXWCzJWJp/YK6P3Y2cZpwlP7BV8+iwS5cdFyiM7Fc0QUSDTIiVNJJM8JU8k9eBwgSuj92ZwnG+ivi5sk5bdUYb3YLYt8UQpjB9QSLQUDAj6rbOB8f5KC7naJsDj7PJ6GfDeYT3MiqgxvEyGXmyUfcm6EyKCeF9NP/lyiUKVKvIk4ZjAVL1UP/dqCd0rVbDejpWtV4qvNHDsdbz2+Eq5Bq7jDcaLb5ivlwNU9479KmXTR2yClpJeOC42AzcnOalWV+/bGsfxqruq2FwmWEoITjYdvY0+iFpGb8XL1mGZxlbL3UXL8bpDALmSPOij5sn5QJHF6sljkxIfYlXHhwgr9S5qelyIU3DjPIqm153dFh7ihGYfon7F2EBIA/eWXTz2zpAvO7SS7I9TdsqE8/XA6aanyqO/oVaKZWtw3mOs52CSI4XgYJyRbsX0x6s2Vj2UYFaluELT23jz1hIcgcFGvdOtWUQvPHyzz3RM1C42PfPGMCkSrPMs6oF1Z7gxzaisZr/KqHLN2WbgubM2TnVqycZYnioqZmWKc555O9D3jgerjp0iZfCBi81AMzgSLaOepzc8c96iJJELliWMUolGstKGMle01nHRDrwrHzHJclIlcCEw3/SE7XlSZJHPJkSgTBSL1rBsYhJ5+0Jwc6fkKQW9cdyZtxRaURsXbZmA2/OWdWe3UNNo4+N8QIrYUjsYZVdi/kTKK2cC4zwH44wQPGdNYFamlIm+mtrcKVO0kLz7ML2qbmU6Dg+crjtuTHKUlOQJV+3LaZHwYNXhfPxbJtthAeMciZQ4PMJHsGumFMHHYzLGMW8imLUdnr9emmC5M+/4qpsjqjzqFy+TobqPiXlv42TlurMxwXSecaYR4ZWv8WUbGXnJdiAgABeNYVoE2FZuH463M4PrzYhr+6DreLW4vmau43XF63miu6TPX7YuNn0UO2spyQrJKE+u3jeRgkRG/dHxqkPKuPABXDQ9F3VPmSpypTDe8+x5w/7o+SfzEOKCXmjFuusJMk4cdtvWXCIlu1XKO4+i9YwSkp0qtoFO6569KuWd+xXV1v5lsJ6785oHy5j0jfME5z3rbuBoXJBIQWM8wcO6HVh4GOU6Jkda8I79EVUqefreGiElj+xGQCgicLbpCYEomJdRm9QZx36VczSJrRviphSJwgforGMwjiRXHI0yHp+VAJzXPVLEdm6EWgYmZcIQAiEEpBIEw5W9zOO7BWWaIKTghohk9ON1y6zMmOYJUgSePV9zuh4iv6qzLFvL7ihDBTABqkKzbAzr1iAIGO85rDJ2xxmbzvHcoiNXilmZMxtpnA1IKVFSXrXsJAKlo/l4O3hAMngboaqdYd0Z7s5bjAsxsUwku6WiM5HYL3Ws0txfRrq69Z79MmVaXrYYI8193RkccGsnv+KKZVrhQuBs3ZFIyWd7y515zd1FTKYORhkzldDbOGXoAhyOc4yPVbLBeaZFQiJBC8l6y16bFcnV+fiwJnFaJJxuelatYZwp6s7hgmGSafJU0pgokn9ubniw6im0QoqYaHY4JIIqU4zShN66q6rzpSZznGmeu6ipe0eZxeEM4zy989SDJU1eOMUI0Vz8ufOGzWBR2weacZ5El4JtQvdGBm++EjVP1/ZB1/Fqcf23v47POz7fJ7qH6fPHq2i1sz/KOBxngGBwDr2Fk87ruMivbbRdsS5Q9w696ihSxTA4njltSBPBoo0TY5lWSKAbPJ2xSCExPlZAqiJhbD394DmcCLqhJklhv4qYhHQ7hSWkYFKklKmmGWJLs0if9+4TQnA4LXhkVpLeXVB3lnnrmVUZj0wLjtcttgv4RDJfGTZDz8lGIkUg15ppkVCkCd1g2SkTVp3kzkWNQGBD4M5Fy1ffGnM0zehMuBo2aI27qi7WnaWzlicPKlrjaIeYXB1MogbvfNNzdwuXTbUh03ILeRUUOmqhOusZp7CTFxxNSx6dVVgfOFv3DNtEuOkd3vcoAf/j0xc0xnFjkjPJE5rOsawHVlXC0bTgoh5IRISfRuaY5pFZFLZPy5RpEUn4hY4t3TRR1FhujlNSrTE+kBOTwqZzfLZtyBPJrFKszns2nWVRd6TbIYREQ5aIrcl5y63dEUKAFoCATEV4rnOCSZlwOC7IEsWqNTS9oekvW35bO6gQzaovNU1Cwro20QIqCAYbv/9ZlTLKNfUWDTFYx7hIt4MPnoumx/mojXPec7be0voDpFJwcyfy0BrjUUrw2E7BrIhDDG1v0DJhNkrxLrDsDK2Nui1nHUvjaIzf6txikqek4P5WoP9wopRIGY2ylcLocFXZu7lTkCr5ihWXeRMrs5Mimn9fygF2yjSaiGeaRWu2391rH7z5StY8XdsHXcerxXXydR2fd3y+T3QPV8mOxjnHq477i5bDSU6VaawL7I4jfX7RGpreRg1UEhfSfpuAbDobbW+CZ6csKJLo37hoBgbnqTcd1nuUlIQQWG0J7btlxqxIWXdxDN94zyOzgirT7I2iebEUAhEiNHXZGOYYylQxzhPKRNFtKwyP7VaMMs0z59GU21iHI4q6x3nCrazEWUfdWwYbR+rTXLPuXGxtIlj1lvakIU0URaKpUs2qbjhZd5yuOg7HxUuGDVIlOB4isHWnzDiY5HgPg4velPOm57weYuVMSYQQ8XsxHusduZbsjrI4YeoDeSJBCLqtiP900/HsWcPgHNM84fH9ir1Rxu15g5KKZnCkieLx/Yp1bzlZdeyOcgotOVtbtIqTleMiiQuut9S9w/lApiQ+wNE0o8pSTjYdEdGRcVCleMC7eExSSRZ1nJKbFgkXdc+idUwRBDzWS6SUCCG5M2/ZHxeUqWZWpUgEi9oggFuznCJJYusSwcm6BeCx3ZJxnjzPwqo0Zaq5T8sIzUUzoJQk15rdCprBU6SBVWuZhMDZpmOap9xetJSNibY91nGy6rk5LdgpUz5zsuITJ2se2ak4GOd01vKpkw3vORrz2G51VQGCWA2GuFCf1z0Plj1ewE6ZRVH9qmfZxf1Yx1YH2aNFwPs4eOED3F+0VJnmXYcjlJZUefxOeMhM3PnwstendZ51b6+ut/hfvLYXzcDRJGe2TcI+38Gbr2TN07V90HW8WlwnX9fxecfn80T34ipZquPE2fmm52zdk+nnb+KDdTS9RSpxNYVWSM20SrHWc2OScboRHIxzEiVfsEicrFo2vWWaJ+SJpDGGk1UHeJTUFKlkmiW860aFCJJJGdlZZaoYnOdwHDVAp+uePJXUXSTbn56sEUKiFByOMtadYVbGRWOwjkUbqyYCqDKF9Y7GBg7HGXeXLYMLjDJFYwWdC+xkmsZYEhUXI+cC7WAZlwkgOV8P3NiJiIHn5vVVC9GFOEiQZJpNbxnlmlTLrRbN0DlHlcXL+XTdx1aelJysB4yJFaMQAmUak90ikzwyLbi76Dhd9zgf2B0niJDgvMC4gHGBMk2o8oRxodAimkQ/NosTkYJAkkiKNOHWTsleldIYy7q1PHVYYVygM5bgo2Zur4qMrqlNOF33VKlEbSte8yYOBAxtBKkeLwd2ypRb05x158hTQZIopplGKYmxgc4GzjctjAsOlWSSa0zIGaWad94YMZg4xblsB7rB8dRBxcEoRz503jS9J1Pxs6qte8BgPfPGAB4hPIGEVW9ojEEieHS3xPnAvBm4fdEQfODWrOBgkjM4x7yxzMoMKWLbvEpjsnfnouXmtCBP9VUbLtMx8T/fdHz2tKZ3UaelKkGVa5LLiqGSdM4yRVOlijJT7I9yWuOwLtpIZSrCceX2+gxEzMOrXZ/AVVt7t0qZNwbr4mCE9bFNWWWKNIn/fT6Titeap2v7oOt45bhOvq7j847P54nuxVUyKaJ2q0gVm85yY5pTZVE0LKSgyBTNEK14IiwzapPiQhSfzC8XCYgTiIP1NMbx+G5JkWoG5xh6HxNEKzDBcX7RMc8TvuowgkUvLhEKUjKrNIVWPH28ZjNYhIjHvdp0LFtHmUnevTOmSBV3Fy1HY8/BpAAB9+YdvXMMzrFuHZthIITA7iSn7gyLrUZKi6hpKjJNPcQqWJ4olibyn8pEc7aOZHcnAodVx2aItPlUG8ok6n6AiOSIsiiMi9wq6z1NH21tjPOsV5HGfr7p2Run29Zmg7GOG7OcRBZYHwgErHMUmaaUiipNOF31LBrDMHiWnWHZ9hy6ckvK9zjv2B3nfPWNKY7AH9yec7aJHpf1FukRGV6e+ytH5zxtYzldG3ZGmkmh2RsldMZzttmQJZpcRush5020heoMQsA41UyL6FxQpArjBKkWtD5q6dad491HCfvjnNZEW6IqCUgk4zyaoUful+JoWr7QgkkKjlcttYmVvLo3nG8GZlXGbqF5sOoJITAYi7eCtXMcTXOsD1SZpswVm9ZxsurYKdOYsNg4zThKE3rnWDRxIKG1lq73PL5XMso182bAuECixNYKyeKBSR7F9afrAecDSkjGmWBaJuzKlINRxonoEcRW47RM8D5O+Q7WE8TnX3G5fJgSWpIoOF529NuJzMNRxk7+fKLw+UwqXmueru2DruOV4+1+7l/HFyhe6xPd51MlU0IwK1MSGcnfnXFoJZjmeqt1ie+lUsWeFFeC/cE6douMJ/fHJFrSO8dnOkOmFVWecDjOWHeRtbRoLTd2Sh7ZLRhlCYmKbbrjZfsCzYuW0dx5fxS1PkJsW6KDY9kMIGBWZGgZoaA3d0pG6cD9hWcuIxS2LBKUluwUkYivhaTUgiSJ7ZimM0gh2Z2kCGLbUwqoW8PHVnHfVVZc7TtS4W2chiR+P7F1lnBv3jJvDOMi4WCcUw+G2+c1iZLcnJRsBkPdeYSEuvXkOiaFudIcTUsI0SLJ+5jIihDIqpTUBP7o/oaTdUeZxgXdO88ff2KHMtOc1R1CCMpMUWjB4OJAwLIZAM+6ja1eL2CSCerWEjyMdpM4ODAEjsYpyz46HEzKjCxVQEyaLjrHI7OSz561uMERRCD1CWWq2E0SHt8dcbRTcLruGJwn1YJlb3iwaJiNMjKleGy3YN3al5yDF5uedWuZFSn7VcbxosN52LSGURGxFWe14fS45703RkxHGVoK/uj+immRsFOmZDr6bfbWoZTAE5PhejB4F1g1AwGoB0cIno/dW5AqRb7lkVkfmWqPTHPKNFL+d6uU41XPoovvAdGcfbfKKFJNoAeiG4OWEmQ0+H74evp8Ki4vJOk79sY5PgS6IerOWuvIs89/qbjWPD0fX0l4jet4bfElk4L/1E/9FEIIfvAHf/DqtRAC//Af/kNu3bpFURT82T/7Z/nDP/zDF/xe3/f8zb/5N9nf36eqKr7jO76DO3fuvGCb+XzOhz70IabTKdPplA996EMsFosXbPPcc8/x7d/+7VRVxf7+Pj/wAz/AMAwv2Ob3f//3+cZv/EaKouCRRx7hH/2jf0QIrzK7/TaOyye6R2YFj+2WPDKLUMUXi2gvb+yXiYJxnuNly7PnDeve8GDVMa97/NYqZVamZIlip0w4muTslMnVv/M0CtcHGyGQB+OM3Splt8p4dLdEyPhUKUJMzNJty6ZINbd2St6xX1EkmoNRxsG4uBLUv5zmJVEywiRt9KabNwNCCEZZggvwYNmz7g2zKuOJvYr33ZqwN8oYFQk3pinGOAYbtngNQ5IoHpmmDB72q4LHpwVVlqA0mO2U5CSLOp3OQpaoSBbfMr20kvQm6qJGqWawHgJxQc1TQOB8ZH5d+lsaH9gdpax7y/G62/oLZsxbixSQakXnHIFAsgXPPnve0nSGi2ZgXvfUrYMAJ6uBuo8VvN1xhvOQRDoCB6Ocdx6O2alykkTgvcc6x6ZzjLdt3U1naUxgMziMD0zLSO/vXRTUz+ueyRYLIUXU7NWDI0/gXQdjbl56IqpoRfSO/TK2o51n3gyc1z0nq5a785bbFy0ff7BiUXccjePfelalrFrD2bqnHgyb3nBWD+yO0m1bNWFvnLFbJtuEKE593r1oWbaG+cZyvGy52GrwnA+4EJlbmtg2fOa05mw1YJ3j9nlMWNvBYbaVyqNxzv1Vz7MXDYmSW29JyaazzFtLmSp6E7EdszJCV12IllnTIon6SB+isF4JrIs+j5fX1qR4fkDktV6fl3FJ0r9EuuSJ4tHdkv1xzqp9KcC3t+4Fr71cvPjaf6VjvY7r+EqML4lk/Hd/93f5hV/4Bb7u677uBa//9E//ND/zMz/DL/3SL/Ge97yHn/iJn+Cbv/mbefrppxmPxwD84A/+IL/5m7/Jr//6r7O3t8cP//AP823f9m189KMfRan4tPVd3/Vd3Llzh9/6rd8C4K/9tb/Ghz70IX7zN38TAOcc3/qt38rBwQH/7b/9N87Pz/krf+WvEELg537u5wBYrVZ88zd/M//P//P/8Lu/+7t84hOf4Lu/+7upqoof/uEf/mJ9VW96vNER8NfyRPfwU/jxqo3VhlIzzaM4+2EB7sPbGh+fkHfH+ur1h38+OE+q5NYKKHBWx2TZhQgpRUTW0qUJs5ISpeK02eVn762jGSztEBeEdeeukhfnA+veorQgT3V8LfjYcsrUlW4F4uKVJ3FiUynFrVlJbzybPvKpZqWgKjP2q4RHZxWDd/zhnRV3Fg2LZuCpgzE3ppERdX+15qjKr5LOwYUrc+Un98ccjHPCVkgNUPeW1loCcG/R4FygSBTTMiHXseUkRRThSzxlJhlnCSerNibEPlD3hsESER9KEQScb6GxB+OcKtfcGGdIJRllCSYETjYD684yqeKUaJ0apAjcOa85byyZEgghaLaWSUoKDqc5/eAZjCdVikmR4wiYLTm/SDU7BSzbnr71WAfGweEkx7iAEHBjmlOkmtvnK27blv6y4tU4hBDslgmjLOETxzW7Vc479kZcbHruXDQs29jOPBhljArN7la/p1Vsh1eZItGxXSsEzEYJCsHxqost3FHKe29OKBKNv8w9BDgHNnicC4zylL3KcH/VI2SEsN7cz5kUCSebHuEjV05JEQcucs28Hnhqv2JvFJMxKQU3xgXvOCi3vp7hqrr11H4FAjZdPHcFsLOl27+e6xMiOL/KE2ajaEJ/WVV7WKQvX8fk4osrcAKYFvplj/U6ruO1xNsFW/KWXwGbzYa//Jf/Mr/4i7/IT/zET1y9HkLgn//zf87f+3t/j7/4F/8iAL/8y7/M0dER/+bf/Bv++l//6yyXS/7Vv/pX/Ot//a/5c3/uzwHwq7/6qzz22GP8p//0n/jgBz/IH/3RH/Fbv/Vb/M//+T95//vfD8Av/uIv8oEPfICnn36a9773vXzkIx/hYx/7GLdv3+bWrVsA/LN/9s/47u/+bn7yJ3+SyWTCr/3ar9F1Hb/0S79ElmW8733v4xOf+AQ/8zM/ww/90A8hvsxK6F/MEfDLp/AiUbTGIonTgSebHi3j0/aiNlcC3FfTSLyShsL7gJSCRWOY1z29jcnEPI3tnSxVNL1lt4z0+fN1x+2LhrvzhlXv6AbD3jijShTLwWJtYNMPdINn0xmEaEHEpOa9N8ZkOqcZYjVkYxyD8WwGR5kqEqWYVgkSQdMN3F12zApNmSdMinTL6PKMcs2tacHZumdaxc/zzPGa24uGvo8YiVmRkGnJugvRjsd6lt1AmWhWg6UeHKerjs8cb2K1TAuCh81gIXj6AdJEMitSEIHl1tT4s+cbLuqBgypld5zRDFEvlWhFpRXjQm+rODEJrRLNpMy2LbTYQt30ccrU+chAO133tMZyb93hHdhUse5MnHbcTqUqCYnWLJqBIolWPJs+VndciNXCdW8YZykSiVLxPCXA3ihh2RjuzFt8iIbUkmioHUJgUsRhCySM85QgInrDWs+z84ZplbC//azr1pJs4a4JMdEY55o7F0OE0PaWcZZEgG4IpGm0hpq3hj+6v+TmtGR/nDErE25fNBSZYlEPnG0MWRIT2EQpntofsTdOybSmMXGKM7aYn7cJGqWaB13LYB1llhC8BxQ3JjlH0+KqOvvi62GcOS6ank1vWfeW1rjXfQ1ftghDgCx5/np7uEX4eiYXL6/XKo06t3Vv2fSOzrRfMciJ63hz4u2GLXnL08bv//7v51u/9VuvkqfL+OxnP8uDBw/4lm/5lqvXsizjG7/xG/nv//2/A/DRj34UY8wLtrl16xbve9/7rrb5H//jfzCdTq8SL4A/9af+FNPp9AXbvO9977tKvAA++MEP0vc9H/3oR6+2+cZv/EayLHvBNvfu3eOZZ555k76NL15c3kiFEJRp1DSdrPu40H2BQkhBMzjqPlYoiiTud9UY5u1wNXUF8Yk90+oVn2xe/PPLm/woi3yu9z26w6OzAhscd5ctF+ueKlMc7WRcND2fPFlze97Q2VjJUlLyyeMNv3d3SdM6ENBbOFt3fPas5sGyZVEPrFrDeT1wtu44WbR87MGS42XHujPREmfwsaUiZKzA+YAS4JH01vMHd5f8f58+5pmLmmjqA0WmOFm2fOLBmmVneHQnR0vBqjd87N6Kz55uIMDRJKfpLb9/d8XvPnPBH9xbMq/7ODWXKJ45rZlveoo0atnO1wP1YDmvB5btwINFS2ctuRacrlu6wdFaz6IxbDqHFmCs4aI1nK4MjYmDBKs2CvkjhmPgk8exYvfcectyM/AHdxZ86nhNQJDKSOe3wSFFHHrIk2hcfrLpuDNvEcGx6SMSYrTV5N3YybjY9HzyeB3bsAEmheKx3TH7o2zrx2g43URhfKIEZaYZ5Yp1EzV2dee3PDTHvWWLc7DqLc8tWsZFwiRPKVLN3ihnd5xSD45Va65aYlpGz8ZlF5lXTW8RMgrozzcdnXVseot1MFhLrmNCttyyz45XMbkM24rYpjccrxouW8LBxwqbUgGH30JrDQ7PYzslrXF8+nTDp09rTlYd91Ytz13UzOseKcRLrod6iLq9ODn7xq7hz9UiBF4wuaikuPr/D7clX6klWQ92q1uUX7T7zXW8veKtWLO+kPGWVr5+/dd/nf/9v/83v/u7v/uSnz148ACAo6OjF7x+dHTEs88+e7VNmqbMZrOXbHP5+w8ePODw8PAl7394ePiCbV68n9lsRpqmL9jmHe94x0v2c/mzJ5988mU/Y9/39H1/9e/VavWy230x460aAQ8+vAQloWT03esGR/BvTD9nnaceIn1+T2WMsjSS1/to/LxTJqway+1Fy+m6wzjPrEgpMk0iJcfrjqZ3VFl8j8E4zrdTae1g0VqSbBT9YFl3A6nSHE3zK4/Ky6pQ3kse388YrOdk1aK1oso1dTfw6dMNYStujwbecDguWHcDQUSPySLRdNZRd45PnW54dDfnyYMRAZg3hhACZ5uBg1HKqrNbI+6B2joWZ4aTjWWUCspUcWNaIAScLDsWbU8qFbV11INnkieUWQSdKgUXnWWsNXkqWDSWjTEMPqCFp7OWZ85rBuPwQbA/SjkaZ5zVPc+eN+xVGd1gWXeGdti2w7xAa8m6jcbju1VGrqO9Tj84Vr1ldbJht8zYqzSP7BacrgZuTUt655jXPdY5Vt7zYN5ytu7JE81o6+HY9JZRpskTx+lmoLWWfZ2iiKDTeojWS6kU5PqFt7pca1rt2Cmi8L8ZLHVvmZYJ7zqaIMSGQGC9HjhbRvF7YxyFVjD1rDrHp0/XlGlCquHuvCMIAQ6cdyRWcnNa0JjAqo3E+0DgiVmFD57FZqA2Duc9qVbs76QkSjEp4hNxksRW46azmK3o/uHq0hfiGn41kb7x/lUnF43zrDvzslUJH8JXPHLiOt5YvB2xJW9Z8nX79m3+1t/6W3zkIx8hz/NX3O7F7bwQwuds8b14m5fb/s3Y5lJs/2rH81M/9VP8+I//+Kse7xc73qoR8FdDSZSpRLzB0vHDn+vSjmiUadohiUiB3lFlCYK42J4sB9rSMa1SBNGAeH+csTfOSLWgHuJkXjdES6S6dyAsF3WHDYGvf3yPKo3v1xsXpwVD4PaiJUmirmrdGBCCs1XHvXlDZyw+wCcfrDGD56tvTTiY5BSpokwiIX3dOXbKjL7YVhSEiP6MraHuLI2JCAMpY4vo0w/WnLeGg1GGBwqtubusmeUpjsCszOis5azRVLlEEA3JEx2rHc3gqNKCP7i7RguHNY7N4Gh7x2jLeBJINq0h05p3HpQcjTM6F/92gcDgLH2kf6BEvFmeN4b9sUYqQaEkT+xUWO+Ztx2bLk7VHU1yCPDJ05qjUcqNnZz9cXaFRjAWykSQJZJHdkq0kqSJJNeKRAkuasPeKImojy5Wso7GBaNM0Q5RaxZCYL7p2KlSsiSe2Z21FDoObWgl6a3j/jIiI2Ymvs9nTjYsGstFO6CUYieTjAqNMdC2A783zHnqcIT3gk+ertktE7JE0xlHPTj+r0fG7I4y9soMrQXZdvL1vO75zGnNKNOMs4Q8lVxsBnZHse032k7c9jbq8SolXrLAfCGu4VfDIqjw6pOLm95szeNf2pIst4MCX8nIiet4Y/F2xJa8Zcf70Y9+lJOTE77hG77h6jXnHP/lv/wXfv7nf56nn34aiFWlmzdvXm1zcnJyVXG6ceMGwzAwn89fUP06OTnhT//pP321zfHx8Uv2f3p6+oL3+Z3f+Z0X/Hw+n2OMecE2l1Wwh/cDL63OPRx/9+/+XX7oh37o6t+r1YrHHnvsFbf/YsRbNQL+uVASb3S/L/5c3kfI5vGq48Gi48aOINUKYxy9cSgNgw9XT+addeypjFwJeutRSFobMDbgXExW7ODR0rPcODobzY5745jXA6lWHI0LlIzi/rN1y7wZGBUJi/XA7XnN8aJj1RkcgnvLlvurlv/Pk7vcmJZoLaIfXxphtNZLyiKaId++aBi2rRxBYNMZPvlgjQ2e2xcNmVIUWrJTxkTOe89FPfD43ohRqlgnsQpRpIpJoUmkoHeO5dYFIFMKKeKgQtNHfdneOCdRgJCUmSRXCU8djkm14MG6J9WK4AJSCFadZadIsB5uzkrkFo+xrC1VrikSTZCeZWc5Xw14Gen6aqv58yHwmfOOWam5P79gXkecx7I3Ww1anHo1LqAl0Q7JBbx3rDtBpjTvfHRMqiQykYQgGGWK003LYm1Z9Ib9UcZjs5JxqtlYx3sOR+Rb4bcLYdt6hDQRPLFfcr6JRt6b3nFjorkxLWOCLWCnlNthCssQPN55PnlaM0k14zIllYJ7y46vqXKeOihJEoUI29bJqr8y5J4WmipPmDeG5SYOd1SZxtjLNl5kfRnvX7DAfCGv4ZcT6b8aO2y3jA8mr1SVKBL1ZYGceLsIud+O8XbElrxlydc3fdM38fu///sveO2v/tW/yld91Vfxd/7O3+Gpp57ixo0b/PZv/zZf//VfD8AwDPzn//yf+cf/+B8D8A3f8A0kScJv//Zv853f+Z0A3L9/nz/4gz/gp3/6pwH4wAc+wHK55H/9r//Fn/yTfxKA3/md32G5XF4laB/4wAf4yZ/8Se7fv3+V6H3kIx8hy7Kr5PADH/gAP/qjP8owDKRperXNrVu3XtKOfDiyLHuBTuxLId4q24tLlIRx8WleCYkLHusCO+UbLxu/+HPVWxsc4zw7ZTTdPt/0tNZTZQnWxZZQogXWRmK7sZ5EKZx35Ilk3fVYGyiswvjAsjGkSUDJgWUzMEo1zVbEbn0gCHhiv6Kzjk+sex7djVOPz5zW3Jm3zDcGHwJVHn0qP35/TWcs3/LHbqJEzvlm2E44SgbrqJTiohkwftsKUgotQBETkzJRJFKSpZL7y45Uqy39XmGdj2T6rRvAOFcR36Dj+SgC9MaTaVh1gSLTWOvoTMR+FIkilYI0VdycFJxvei7qgXk9MC4S8pECFcnqi8Zw3hiKRKOEoEg1o1wybx2TMqFQira3pASEkigC9xbRKPtonEawamPQJJxsBs42ESSaJwrS6FkopKBpBwjRTL23Ho9gnGv2qpSvfWTG/jjjoo6i3Mh18xzs5GSNpB48H332nN1RztfcnCCk4HTVUqaaVTdwvGxZ9xbvoxB+VqVMiympFtHGB0iVRAsZwbQ6ugysNtHAet5aBu/RIjApUhaNvbIPgph4Ha97PLHFFwhctIZVZ1i1hro3uACplIyLhBCgzGIFTCKu2vKXSUKVKS7qz99v8XPFKyUhr9SWzBPFsrOvWJUQ2xbkl6rNzttNyP12jLejVdNblnyNx2Pe9773veC1qqrY29u7ev0Hf/AH+fCHP8y73/1u3v3ud/PhD3+Ysiz5ru/6LgCm0ynf8z3fww//8A+zt7fH7u4uP/IjP8LXfu3XXgn4v/qrv5o//+f/PN/7vd/Lv/yX/xKIqIlv+7Zv473vfS8A3/It38If+2N/jA996EP8k3/yT7i4uOBHfuRH+N7v/V4mkwkQcRU//uM/znd/93fzoz/6o3zyk5/kwx/+MD/2Yz/2ZTfpCG+d7cXnQkm8We9/UQ+crqPx8OEkZ9Nb1JYD5kPg1iSnN47zTRTPl4nm1jTnxk5OpiWrfgACwgd8gPN1jxVQpZKDKqIeTjYdh5OMzljqIRp771QJy9Zyf9HQW8+TexXPztec1wONcaCgSKKfYD/EVqXW0WA52itFjVqmJUfjnKNZxrIzSCUIQdEbT+0cqZIoHan3WabZLzN0IhjnsbpVJBqZCJKtdc2DZUs3WAYXOF61WO9Y9rFatVclnK17qlTRIVi2Xfy+hOBokjMuFAhP62y02ek9aSI53dpD3dwtKFIZ/SuJ1aynDioCgdW9FXfnHXkiyVWcxoyWOYpZmXJR96x7G42xiQMKR9OCzgQWbc87dkp2Rzl170hkFPQvO0eWKEZZxIw8NquYlJplb5kUSawQCjirBw5GGTenBbMy4868xoZA2DLl7s4bPjV4UhkhsHUfk6BRnjK42G623nNrJ2fZOhbtgAse4QKeQJZGFpuWIKXk5k4ciDDEBX0n15yue/7nZ86ZlFHMPs41+RaSm2nFujU82ESz+cE6nIeVGQjEY1y3PZtu4NFZxb1lHNG4ZLiFEFAy7qtxb/wa/lxJyCu1Ja3zn7Mq8aVss/OV7D/55RRfyufQ64kv6Tbp3/7bf5u2bfm+7/s+5vM573//+/nIRz5yxfgC+Nmf/Vm01nznd34nbdvyTd/0TfzSL/3SFeML4Nd+7df4gR/4gaupyO/4ju/g53/+569+rpTiP/7H/8j3fd/38Wf+zJ+hKAq+67u+i3/6T//p1TbT6ZTf/u3f5vu///v5E3/iTzCbzfihH/qhF7QUv5zirbK9eCP7fS1tgcv3T3WcLhzlmmxrS3S+GRAigkhXfdQv/cknd5mUCcMQBcXvOCiRIj5VXeSG99yY8umzmm7wFMpzUGXMqpig7eQZde/pTKA3cTKOEEfqTzcdm9axX0XivNxyuTIlmaQSpQVIhUIwyjR1ZzkYZzyxX6GEIFWx0lL3nmmRslMltMaxaAz3FzWrxnI4zTkY58yKNFLIU8ms1IwyzaxIGBea+6uOs3ogeM980zGEOHl3MMliorbFUxxOJJ317BTR5qcZDEWmYmUjVZxsOm5OCpSS3J23LNpoI5Qowa1pwThLmK8HJqVCyYQik9ybR9/DMlEoCWtjmIqE/SqhdzF58B5OVy2TIuXxnShQFwKSBJIhGnLHqk/0KWy1xmHYrRKmZcpumVJlcbo0zyT9duhCAmWi2dsuns1gOd8Y9qsULwIPlh0nm55MSdadZZxpOu8oE4UHlIxVLiEC1kl2x3F6dVEPBB8oMsVOkZImiixRpINlf1yQKPBeoCQxwbYOqQSb3lF3BmsDZaawxmGs52Tdcb4ZqDKJc3H6M080/eBJCwFCkGrNbpmy6gx35y3jQkcAr42Yj0d3Ch7dra7cGl5vvNYk5MVtyddalfhStNl5Owq5367xdrNqEuErFdH+FsVqtWI6nbJcLq+qatfx6vF62gLWee7MG8SW1u1DtHF57rzmzkXDurfsjVIe363ixN82UatSzaxMuLfoaK3hsycN/+PTpzxY9KhEsJNrbkxyZqOcvTJhXKZMi4R7i5beOureM8413RB1bXXnmBaK3/3MGU+frBkczMoktg8VSCF5YrfgHQcjvubmFL0VwQ82fuazTc+tac68tdw5rzle98zrgc0w8NTuiHGZoIXEOEdjHPtVzrtvjJEElp2ltTER+ezpht+7s2RaJMzKjFGuefeNit0q42TZ4r3A+nC1fWMcq8ZQ5ZoqUQze89T+CEQ08r5zXrPu49CEUtAP8XMKIdFaIkWI0FMpyFR0HLg9b5jmKbMqJVFwd9FFHpnz3JoVPL434nzd0znPfDNw0QxUqeZonLFTpTx1UPGZ4zXz3nFrkjMu0sikCgGlBO85nPDYrODessOFwKeON0gpKBLFc+c1i2ZgZ5TS9B5F2CZThvO6Z7eKmrLDSbF1AkhRMrau151llCk+e1bzyeM1SklSLdBCsjfOuDHOuXPR0DrLJE8JwEGVseoNkzzlvTfHLBvDcxc1ZaopU8XBKGXZWT5+f80k0zy+V7IeLMLDpEximzOEiKbYVtUuNrGVuhksj84Kcq2pB0NnPF/7yISDcfG6r7EXXy+X0ZnocPDIrHjVhe7yGn24oj0p9Ods3b3VOqveOm5fNJSpRj10nJdw2cd2y6vJ7Ou4jjdz/f6Srnxdx3XA62sLvOzTuI0TjV99a8qyMRgX6foz6zmc5AQXuD1v2PQpi2bgYJxzc8fx2G4VSfYieiuue0+VOS7qqJM6KDNWjWHTGZQAAtzcKbjY9CzbnovWkaURkVA3ZmtobbFWMiqiGFkLybw1JFvj8L1SU6QqJkTG8vT9BbcvWhpjWbUDQx9IxIYn5JiDSYEXgltVyjv2K546KDEOik3PJ45r7l5s+PRZQ5nFxDJLBSebDk48WjSs2oFpkfL4rCLPVEQjJJJsnAKSxkQHgE+f1UwKTT9YTIgVpixxmC624MZFyiTTbIxn2QzslJob04LWBLKm46IxbAaLC47gYD04ciXZn2SM8+wq4eqsx2+1U/NmwHrH0SSnHxy1Ddyc5BRZgvOB00VH6xxSCG5NClqTMs4188YwKzXPXLSsRGDV9iAEy3pgnMfKm7WBxhpGhSbPEtbtQNlZ9scZ7RCxE0W6dWIIMekvU0WSSBIhCIhYzaoyDndyCAEX4hS0D3HxnhUpt8+baBukJFrGitVl62S3Srm1k3MwLvBbfWLdW7SKTDwpIppjlCo6Y69afKmM1dwqTbBuYFFbZqV/3QnMG50m+3yrEl8qOqu3o5D7Or484jr5uo4v6Xi5tkBAIK3gYruQvtJN/mGNwLozrFvLI7sFsyIl1R1Db1n2glU3RD+/1kSLmVSz6aJuC+DdRyOeu2i4O2/RQrBXKbqtLdGlVqfuHJ31jFKNVlGsvWgGMqk4rTuqPOGp/Yp5PbDqLM55EJ6DQnEwyXAhsG4tt2Y5ty+abWVMMK8Hnj3bMG8MqZYIkdANnnIEgwt0xqKl5GCk2RtnHE0Llm1ctItEA9Gi52iS4r1g0Q5kxtMbz3NnsdKhtz6BxgUemxXslimD80xTyafPW+abHi8kq75lUSuk8AwORplip0i21RnFqrP4EA2x+8EhpeRk2bMzSnnyYEKZaf7w9pJFM1BbzyOTnNkoZZQnhK3NlLWeWZmwbg1SZozzQJpIVp1lXGie3C8pkoQQAqebnuNNpN0/tV9hg+f/vbOgzBSpVFgXIDhuzzsW9UCZRW/QwNauyXq0VBxsk8wawbq1NL3DBcf+OGVwsUJ2vO7RWvLIboV1Hh/g5jQnBEDAjVHO/ijFusCzFzWbznJzUjAqIpW/HRw7o4RJrrjYGE43PfNm4NY0xzjP4BxFIll3hou6Y3+UI0Ksfo1KzWprJdSYyKAT21Pe+uhz6reVvNd7Q/9iJyFfKjqrt6OQ+zq+POI6+bqOL+l4+InchziduO5sNLx2jipTHI6Ll31afvhpvN0aVI/zZCtaDnz6vGHdD0gkZeJIU4nYLmKzMuHZ84HzeuDWtGC3Srk37/B4TjYW5xx744yzTc+9VUuqJCHEG7XxMWEcnI8kf625uVPigud03TMYz/4kIXjBTpVeAV1r46h7S289YNgpExIlYguwNSSpZJRptBRbbz9DmSW883BEkcaJw7P1cEUobwdLlkg8gUJrWhNJ9ZseJkUSkRIisD/KyROND55nLhresVsxKjR31x3L1rA3zbE20FvH+abHGM+kSvjqGxMSrXiw7LjYdHTOUw8GEWKF0ATPhZfMO8teZci0YneUMi1Szpuem7sFh6NiW+WxdL1DKclhlfPE3phRKqP+yXmUjNqvPIkDE6vO8WAZTa+tCzwbGtadYVRkW4snSTc4bkwLDscFzeC2Sbzkwarnou6QQjLJE3bKjLq35GkU8fvgGCUJu2XGbhn49GmN9Z5MaRSOuQmMckXwgjSJwOCvujHhaJJzXnfcWdSxuukdJ/Mah0QqgXcB6wKTQm+1iJLdUc5gPesuIhmK7WDCzrbSOrjowBCAdetpesMkTxAIeuvojWeUKXKt3jBe4o0kIa+lknXZYgz+9UNXvxBtyrebkPs6vjziOvm6ji9KvN6b5sNP5N12OjFLJEoJUiQX9UCm1Ss+LV/uN5ERcmmcp+4Mq84iBeRJ1Hute8NTkxE7ZcrdRUuq4HjV8rG7K57OVmRKUaaSR4qc1WBp+yiYvrPqUQLGZULbWdZ9wmM7BevW4LZk8jLV1NubepFEhtdOnvPIbtTRXOpNztYtH7u3RihIhSDTgotNx7weOF537JYpk0RTpkmcblMa5z2JFmw6y6qL9i2EwPm642MP1ozT2DaC2GZTQpCouHCHEHh0p2R3nBNC4KjKWAwGT/QfrDtHmggSoRh8RDBIAa137IqMIGBRDzx7saEbPJmWOK0oErioe85rwY1pNMS+Ozf4AGWiqAqFkoEy1SRaIkSc4FOJ5KhK2BtlcWhCSQbrGbxj3RqOlwNVrugHF6GuNhqrZ1pSG0cz9+x0niJPSJXAmEDdWb7m0Sk3piVndcfxvMM5x7KxzKpYQbu/aJnkmncfjJiOMqZby6NZmeACV5OqdTeQJ4obU0FvAxdtz55MeedBxdEkZ90ZPn0aPS6PVz0Xm4HBOUaJ4snDMSLXaCmZVTEh2RuDloKs0AiiA0OZRPDr/jhHi5h4b7qIrCizhD82zlj1jmUbj2WUKRId9VVvNBl5I0nIq1WypkX6gsTMhcipO5q8UKP2ai3OL2Sb8u0m5L6OL4+4Tr6u4wsab/SmeflEfn8Zk5BEx5uidZ69UXblLffip+WX269znuN1x/1FhyOKywuteGJWsTGxZdYOjotNjxSBde85mhas+4FMC85qh9aGVCl6GYnqg3P0NpAohZSS/TJhUmYgojfhRd3TGItpwbmACR4J9IPlsd2CPInJhxKCdruozqqELI3m05843tAai3XRauZ+6CgzhQuCMhVoGc2rl41lnCs641g1AwHBKJWs+4ivaIxnr0jIlcAS8EZwNM144qBi2cb3V1qyq1J8gDyN4NRVayjTCNDsjGPd2W3rNWXVGo4XXTTMFoI0kZwsO4Lw4ANlmlBlmkXdE4BbOwX11gcx0RKzbf05H3AucDRJ2S0zVr2lGyydiB6U9+YN686RagEktDYm4cYFpkXCJNecbvpYPRwsh85za1YhhefZRcONaUG+Gy2kWms5GOXR7kfAsNVQzYqUItekIhL6j1cdz57XZElMAPfKBCVhvh5ojOWsHhiMZ5IpJkUCRBDuZ0/XfOrBmtONwXiHdVAnjjytOZxkkbhPdES4NckRUnCxGVj1hlmRcmuWRzsmIUiT6C4wyjTNEF97bFay7KLGyxPItboStr/ReL1JyMPSAC0F1l96ej7v+3jRPE+/74Z4XiVScjR9PgF7tRbnF6NN+XJw2eu4ji9UXJ9r1/EFjTfjpjktUgbrOVv3COchSMZ5QpmqLRbhpU/LL7ffs60xtieQSIUSDh8CWSpJk5R7i5ZVNyCF4KTu0RJu7lWcbjTGOFJtWTSWo5GmHRy9i9N+o0pFSxzvydOEo2mGQiCE5zOnDVIIBuOYtwYpYbaltXfWUxEX4oUZuDNv0UqQSEWuNZ86XW1NimPy2DvH0FjaQfPYXsF+lXMwzQgeEi0oE8XZJvoQWgc2cIWVOFn1nGwGhPDsjjJujHIaG1uXbe9oB8uzIVBowWyUs19laBFYtB0nK5jkGqUkNgRyIZiUimXjGIKLiIRKR6p+15NrxTRPKHLFOFP4kGKGqK8qcsFMaUwIDFZgfQSIHkwyvvbRKZMs4Y8erHj6weqqxXy2idOIj+9VrHtL21oEYKzDOsm8jdo34wO51FgXWDcDaxNp+v/nzoJNbxhc9NScVCmHOwWpEiwaQ2/91uoo3VpEQbf1IO1sQEpYdw4Z4Lzuub9sEUJyMEpRSnKy6sh1nKg8Xvas+wiAHWUao6K+7LQeuNgYpmWGkoK9rVn4sh1oh/h5hAhoKZmWCWebaBZ8Ce/1AfZHEW1xkBTMyi/clODnm4S4EBhchCU3g7162Inmx9A58YIWY5XH6ubZZrhyP3i1Fuc1DuI63o5xnXxdx+uK19JGfLNumnK7WN3YiclTvMm7bdtJvMSa6GVF+iGiFMpMMymymASVCafrnouNYbfUhOC5u9V1nW0Gbk1yOutIlCBRmsdzzaa1jDPFx7uBTGsmhUIQNVjjVFMbh3eBnVGCsZ5cKwYXqDIYF5rWOLQQHE0ypBT0JlBlkucuNiw7Q67lVjPW8dxZTWMcQgSKFIyTeB85WLMiJ00VRRITnGml8T7QWo8UAojVh/g3UpEfpTVawV6VMSkSbN3xqdMWawOTPMFax8J4qq3gvUw1udQE5TjZ9HSDo9KCvYMCUNyYpTw6q/hUvqLtLfPOMsuTWO0xFikFg40srzLX7I0ik2uca05WPQ9WLVoq3n004h17JQdb7Z4nJht35g3Ijs46ijTFu5g099ZTbzV83otogN1ZehvY28/IU82DdUdvPbujBBng3rKjGQy7ZYZzgbKUzKqcaZGybg3TYov/kIKLZqDIYotw0xu8F+xWGX90b0EQgnffGLNbZlR5Eg3Cu1gJu2gM9WBBBHbHaTwnB4f34QpBcWuaE4BUS+5c1Hz2rCEQOBjl9M7zYNlxOM44HGcvaP/tlgl5El0L9Jbn9eKb91uFbbis2s6b6HxQJArrPSerjtHWOix50fHslhnWBbyDJrx6i/Pt6Ot3Hddxfc5+mcVbcYN9eJ9SiNfcRuytoxkco/yFp1mi4lRXaxwFvObPETycrgamVUKuFJ21nK4MTx0834rsbWxl9dZHPMQ2LoW+IUQA5r1Fi9v6Sz5YNZysFFoLtAg0xiMRrHvLtPT0W+uhUaZxmeJoWnBjkWN9YHCBTEkSITEeqlQwG6VM8pR6sBSponOOuotk94Nxgg+eJNHsFAmrzlBmGYmSzLZ6p0wrPn285nQzQAg8OsvZH+e01nO6aulsIEjY2SYMZ7UhldDYOH3Z4WiHWDG7MS0IW+3ZpEzZraKI33tBZzzLTc8oT0gSQes8m94g5g2L2jLOJfvjlHuLht5ajPO0QnGytuwtWt59K3JubkwK/uDegrNNjwYsAeEC687wmbP1la6t2ETro50qtosPxzEJfPeNMVWWXP0NW+O5OS3YbG13Mq1ZbytEB5OMQgmWLtAaR5l59vMMMziO1y3GOWxwCAFHk+yqJSgUrPvAed0zLhLqQaNkbH9KKRAyJueJlgzORwDqqmfRDPTWcTTO2bSOg3HG4bgg09GySYk4LND2BiVjFdN5qLKIgrAuIAJ471m0Jl4PmeZ02fHJkw1VqtnfWvRsOsso12x6xyOzgnGeYLZ/k7p3LDv7stfblwa24eVxkYp4vb14itKFwF6VcTTJENvv8ZXuA9c4iOt4O8YbTr66riPP8zfjWK7jVeKtuMG+3D5DCHTWX8EiX66NePl753XP6bpjXkv2x88vhGfrjnVrAbbmwq/8OZ5/r4G7yw4hBP3gsW6gNVE0fnfZxmRucAw+TpRZ63lkVnC0U0CATWu4u2g4WXV01rNpDSBIdCTM32tadAgMCAbjCThOVrG6cjDOECFWkW7txGrJu47G3D6vsVuQqfMxObu1W5EphQ+Oj99b8MxFzWADhMAoj4bL9QDzTc9nAhSJQim42ESD62Vr2MkFRaoQwUeSfKpi+0sIms5QZQmPz0qOdgqcj+LlaDwTgaLLeqAdHHjYdAP3ly1t75lWluAckzzl1qzgbCMZPNHSprEEAT5EDAXBUqUpjfWxWiclo1FCb2Ji9+yypsolDgXBRt9GLUiFJPGwU2lCCFw0Bhl81DlZz91li/WB3SplZxSxHsBVReeyyjE4T907tJbslJrPnvYIISjT2PosEsmtaU5rA/Omp0gVNyZF9Av1nkmR8I79imyb5HofUF4yuJjADNZzd9FgjCdPNYkSrF30S9x0hs+c1qw7y2AdxjkuNh1nteFmX8TvWUuyREGAeR2rhEWmtsMMfmu0Lll3Az4IEhVvtovGcLzqafqBMpM8NiuvzL2lddvBBYcLW/uhznBRm1dt27/V2AYXIu8u1YrGODrj0CpaUykltu3VeL2/eIry8rO/WlzjIK7j7RivK/ny3vOTP/mT/It/8S84Pj7mE5/4BE899RR//+//fd7xjnfwPd/zPW/2cX7Fx1txg33xPrvB8uxFzV6VkVev3EZ8+PcOxjknq477ixbvo7XP/WXLzZ3nn+xf7XNcvleETQqyVHLRDgzWY31MXuZ1z8W647w2TIrYnpk3Ped1z9cJSLc4hONlx3MXNdYL2sFciZqLBNrOMzjPXpUyHUc20zAMLBvLjWnOKEn46ltjntwfRTsZHZjXA9MywwTP2brjrO7ZW0dEwbzumLeOUaIhhYvG8IkHG2ZlyqO7BUJELc+mtyzagYt6IFGCTClutw0nq4aAp8pUnNK0gbrvaW3gaCdhWsVWq1KCLFGcrFqUFByOEh7ZLUmV4PfuLjhdd2SJQsjAnYuWT5+sORwXbIzhM2cb2t6xV2X4EMgTRd0FTjcDN6YSBBwvG05WA6Msto4SFe2JmsZysjZ89a2cZQ1pqq9o8pMiYfCBuxcNzgUOdwvGWiNEoB8sdy9axpmiGyTBB+7D1cNElUZ93TNnG2xw9IOjGxxZIumN5/66pdSadx6OuDWt+Ozpho2xVFlClSiECKxazyiRjLKEWRW9Lu/OO2aTlElaEUJg1Zvod2k87zmaEBAgPPcWHcerltNVhxRiq91KWLXRomnRGoq6o0s0iyaaYada8dRBya2dCf3gWXeOB+uYYCEkO0UUxQvhWbYDxgdOll2cPJWKJ/ZHSCHQUlL3Azsi/m1fS9s+XiNvrR4q2mFJhBZMyiROxUq2nLXYYsy0ekMoh2scxHW83eJ1JV8/8RM/wS//8i/z0z/903zv937v1etf+7Vfy8/+7M9eJ19vcrwVgtOX26fWEiWjB2CcaIr7fFh7wYt+L1Vy66vYc3/VoRHc3Ck4GOVIKV71c1weQ6rk1tdwYN0blo3Bh8ATeyN8gONlT6IEUkq8F4yy+D5nq57bFzVVllAPFhsCe6OU040lCEEIgipV3FtajHdx4Q+BHa04mmiqMiERkqd2RwglSBPN8bqnSAWbIfDkwRhBYNVachW9+ZwPfPa05va84dFpzpOHI043fTT0dhGNwLYSIhEcr1vaISZZiYoJw+myZd1ZDsY5AU2WCIy1dEZhfY9znnVro3m2EKxbw7wZeGK3JE8kSSKRwOh0TVckpCpS68cZdMawGQaeOROcrAZC8ByvOpQSHIwyhIgMpmmm+IN1x91FhyB6LRofmGSRT7XuYrXnaFIgkdwaLIOx1IOns5FMv6gHbkwz3rlf0Rm31X8JnPA8WA08sac4KHOUFPTGc3fRUqWK+8uWjx+v2S0SxrnCGEczeMpEsjdOeWSnYNla7q5adCo4LDJWjeV0sOxXGe/Yz7Heo1RsZTWDY9UOjNOIZkAIWuNwAXaraLytlKAdArmWrBpLIgRdCIzyhGkRE8s0UaRK0HWO83XET/TG8lU3JrTGIwS887DibN2xaAe8V2gteWxWMC0SHIJPn9bsVilCRmbZ7YuWMlHsTwrqweB9YFbE87e37nNqnYC3XA/1cGUqR72kMnU5tflGUA7XOIjreLvF67ouf+VXfoVf+IVf4Ju+6Zv4G3/jb1y9/nVf93V8/OMff9MO7jpivBWC05fbpxKRldUZh/fA9t73sPbixb8npWCnjAbO8yZOEu6Nshe0GF/pc1y1oKxn0QwUqeJk3aOkYLEZ2HSGPE0oUsm8thxOIvlbCKgyja08Ushthc2RaolWKQbAB3of9WHzJmIKukyTKEXTR3ir9YFZpVkNloNRyrqztMZyvGy4v+x4dBbNjAWxpdgZw6JxdGZg3RmecY6vujnl8VnJvB0w3lNoRarj91QPNla8tCQgsd6TakGWK4wDC6QykEiNxTPKBQFPqhXHqw4p4mTeJ4/XpFJSZRGHMFgXW7JC8t6DEcf1gFKCuvPsBuLUpHO0xpIpaPrYcgyBbdUiwkkv6p5xqum838JBFS5EW6AASBlwPpAnkicPRtybN9xbrsm0oh6i0fjgQyT2S8VuFSs10yKht9Fup93CT0OAVRsBsVUWvQ9XW9p8ogSH44xEBR7fqygTzSePN6x6yyhRzKqcIpGM81hpfXy/5N68QQKb3hJCIFGC1jruLFoypdj00cPSe08zWKZFipawtA4bAmmmECbS9qtU0RpHpiQH44z7y+7qcwyJZKfMaHrHp07WCOK06P/9+IxpnjJveggBGwSCCGVVUiCQJEoiJcy7AbFNJJ7cK9kb5VfX22vROn0p6KFeS2XqzUA5XOMgruPtEq/rPL579y7vete7XvK69x5jzBs+qOt4YbwVgtOX26dWkiJV1ENcvNVD8NMr7cWWm/Tw710K4XOtUOq1f47471hFyRNFphXz2lAPDiUN6za2zIYs5cFywDjHSEdTYucDSkgSKWh6y/1Fx6q1dNaiQrQUUlKysgZrA86DdY5RluLx1F0ghIAepeyWSeyjECKzaDNwZ95ErYvWnKw7tBaY3tN6zzTXOGDVOZ65qHnfzSmH45y2cygZMF6Qqzi5tu4sCIFCICWstIEAuYYcjdIaZz2TIkUrOJxkzKqEUS65ux0aSJTkPUcVnXU8c16TKklvLItmQALrxlOmAoLHOc8wBA4qTSolQUCuNEUmGDxY79jLNYlW1CZwY5ozb6Nv5aqLLDFjHdM85aBKORznyKngbNXxYNEx2SZWEnhkt2DdWp5+sKRMNfeXCV7AO/dKylTxR/fWaBXRA0oIlo2hd5bBxdvSqrMoAYNz3JhkPFh1PLhoGAJsBov0nmXnub9q2a1SbuyUbDrD/XmN8TGZPBhlKAGpEtxddCRSsG4HPnNeM1hHkWgGN+fx3RGd9RwvW7IkkuXnbWwJ51vmWpUpKqNoesvRLMd5WNSBO4uWIhGse8esjGbfmdbsTzKqTPP0gzUhWFItqXKNknBjkmF8YCwlRaY5GuUcTlP2qvzqweTFWichoDce4zw3p/lV5efFeqjWxKT1xvSLp4e6rkxdx3V8fvG6kq+v+Zqv4b/+1//KE0888YLX/+2//bd8/dd//ZtyYNfxfLwVgtNX2mciJU/ulUghX/YJ9+Hf8z5OpM2bgWawHI4yJjqh6V9efPviz6FVtNP57FCTbNuXRRqtVh7dyZk3lou2p+0dvTXMG650ZE1vUVvUwukmJg4iBBZ1bIetGsMQPNbC/jiSxYs04XCUIqVk8J6jUcakTAgIrPWsjeMzp2vWbay4zNeGLnHMN5c0c0+qJXK3RBPovGNRD9ye1+yPcrJUIgJoDd0QrXgyHcfy171FEqgyTT84RnnCeWOQgyGIQKU0NgRmVcqtnZLDScZzvuFonFNkmqY3HC97Mq3YdAPnm4GzZmDe9Gil2Aywbm0krmeKItPsFCkOR5loDqcZdW+oe4kPnufONxGoKgVlIqk7gbOOvpMIKXlqv0QlkruLhncfjslSyeAcj+2WnG0GQoAy08w3hvO1gbFEScMoyXjmfEPTG5Ik5an9isd2BaM8YdEaRAhsup4skRyMU+re8mBp0coxLjTBR/q+s1HMn2rB2XrAWocUkvuhRQp4YrdCS5j0mqaPnznTggfLgbNNx/m6Y9NbpJIki9gyXncDZ7Vhp1T0Jk6+rnvHRWOoUs0k1/TW03vHqjaMi5SdIuHesmXeDBRaUqaSPElJdBws8dbTWYvzjrMm8IgsuDHNSUWEkR7upEyLnCd2C0Yvo1+aFik+BO5etFy0A5KojfM+4H1ASnF17S0aw/1NQ9d7ikyxbi1a9l/UqcfrytR1XMdri9d1nfyDf/AP+NCHPsTdu3fx3vPv/t2/4+mnn+ZXfuVX+A//4T+82cd4Hbw1gtOX2+eNaX61ILzSE+7l7z130XC67ilTxY1JTqpj1axK45TYy32OF6M0dsuMw1FGPThCkJSZojeWQUAiBRfrnsYECq1Q29ZdM1jKTAEx+buxU1Klmmcvau5ctJyse1IlmGYJFJApSZZpjsYZO2WG347N35wWnDUDnzzeUKYSIQWnmwHnI7vKB0czBC7quKDniWaUSc7qnlxJykQhpeB83bOTp9ycZqw7x/G85awxZElEUyyaCGDtbNQSzUY5NyYZSMFzZzXz1hJ2BO85mrA/zvAhJlJ5opkUGu/hzrwlSxSb3vCHd9c4HEkAoQQiBO4te7x3jIoED6zqgb1RyjjXNC5gPVRZQpFITtYdidYcjePfq+kN1nk6Aan2PDYteO+tKVJIjtc947yjTBSzIqPzMbHerzIG5xAAMjAYz4ULtEkHwWGcoBQOgeD2Rcso61nUlsFbtBKYDeyN0+jnqKHuDY/vVdw+awlELVQiBe3g6Z3nZBPwYYMSiv1JxrJ1pMpibYNWgsHGxCnRUGWSCyVwQTBJNCHA/3n2AqEk7zkYkacaXUnmbY8UcJgqbk4LtBZYC6smVl93qmjynmlFgowPJL1jp4TgAp86q2mso+0tt3Zy3rkXz6e784ZUK/ABLRWJVpzVCuPDSxIlKSPeRWvBIzsFmY6E/LN6uKo2Xf6vdZ56UMyKlDzVb5lZ9XVcx3V87nhdyde3f/u38xu/8Rt8+MMfRgjBj/3Yj/HH//gf5zd/8zf55m/+5jf7GK+Dt6as/2r7lIhXPHmkjODTKtPkiYrTcYOjGeIi7l3gXYcjlJZX7+l9YF73L4vSeHyv4v6yI1GSnSph2fQ8WHaAYFwkPFJpqjRqtI6mOeM8JdOSZTdQ945xljDJE7JEc7LsmDctCMneOCNVimLr+ViWmoNpzqoZaK2PdjtFwscfrDleecpE4S0oLciU5mIzUOaCm7OSRAtWrWXwgiJIyixhnGse2Slw26RHIrhz0fDc2Zo7ix4l2drNBIyDVIIJgioFGyQ3xgXOQJ4M0bhbBJZtrJBBSplKzjeGRdtzvunwQXBW9wzOcXNa0GaWk2VPlgR2CsV6gEIrEGCCR3mJA3IJRaaokoT7qxbrxNZ7MeF83XNeW3oX8MJTpNGb8pMnDY/Ncsa5YtVYutSy6QeWtSHPYkKxnA/MG0umJEJGHlpnLKlSIEIcUggO42Bedzw6K7l9PiDzaBLdtrEyhYBN6zjfRNPq4B29i/iOeWPQMmoDTdAMPnohInredVSSJZo7Fw3LxnAwTTnfONZtHK6oe0vtHNMswbVQKdgfpyxbx944DhacbXrec2PCI7OC1li6wTMYx6oz9DYgRaz23NqLrgDGBz75YL3lzQl2SsWsyJFSkmeKQ53TGhf5V4kg1YIi0QghXjZRuhw6qbLkCpqrxfPWPZdDKjHxcozz5JoCfx3X8WUQr7tC/MEPfpAPfvCDb+axXMdriLeirP969nk5ieV9YNEYskSSJ4pewPGm43CacSMvr7b/XMa8PgRunzd85nzDJ++vWHSWw3HOfpkyyhMG68gSRZlqDicZWsYpsN5EvVmZ6ih0957BASICMa0N9IPABU/ZaPqxpbOeIpXcndcMxnG6abm/7NAituDyLMJN121H0ytUIijTJBLdjUeoLb9LCu4vOgKQqIFPrjuefrDioh5o+mjDImoYFyk3JjlaCXrnWQ+eUQE+BLSEUR71bk3ncDryxKSAREqWraHuBm5fNJxtBspEkyQCHzzBx4qJ9/DorOKsbrEO9kYpsyLjdNNy+7yhSCSPaskgLEII8kxxvulZS8u8NeSJIFEqTpLmmqpM6Y3l/31uzqzMKDKFcRE4uxwcYwLOebxnq39SbDpHL+OUpiSaas/KqKWyNtA5z2oL3h0XmjJTDA72qpRCK87oWdUR7VB3liRVV6iNVEq0FIjgCSGK+EclcdgiS/Dec3vVkSjBxabnuXmzRTnATq44mKR0xmO95eP31lhBhN8mkbOVbIcS7i9amsFzf9WhBFRCkKZqC0pNGWWaVWcYnEdKiVIxgX1iv8S7wN15x6N7BeNcU6SavVGE6/bGMytfmlBdXkcPW/cM1iOAUa7JEnU1pHJNgb+O6/jyiuvr8Tq+IHEpnr+oB/JUXWmbnI9mwHXvrsCarwWlIYWIYnkhyDPNFImQ2/dPFB54MK+5aAYerLpISu8deSLpXZwQXNSGp0/WbDrLI7OKUZrQGsuqs2jlGWdx8WuNxQfFou4xPrA/yhiM57yxEUraDjTWcbIcsD5OAe6PMspU0w6G4AIueHoLCtgdpbSD4zNnNUrFSke7rQImWmIGiw+BTedRMnB/0W01btBaRyDgvGfeuAhfRWJ8xGssm4F7y/6qbVllilRK7l70eOHZKRPmteGi7hFBUSaCTWfpDORaslcltMZzd9FxMMmZlQntYHiw6tkfpZHZZS1tLxiX0ZppMP4Kttt6S+IEIYBWgp1MY0WgSjSugtNNy0UN1oMMDmMNnfU4AvdWksF4dCJJhYqaL+GZ1wbjPZmWnG86jA9IIEh4fK/g9kWH2VpMSaKTQqYlqy4gpacxEVJ7vu5iUhU8VRqrWNFo3DLNNAfjjN55ehOQMtD3gVTDXqYxwHk9kKeS01XP080aCVS5xnnHsnesessj04JHdjLcdshjnCbsjXKmeYKUkCUxaRYSGhunhKsyYZwnFEm8/bYmJkdCRGbXpNNXCdildc95HSGznfEMzvHsRcOjOznv2K2urrcvhanH67iO63ht8bqSLykl4lUuZufc6z6g63h7hFaScaZ5xrjIUOotiyYmCDtFyrI1mBdRzV/81C5ERAXUveF007NoLJ4ouO6MRUqNEo7zeqAbLGfrgScPU0QQrHvDqrHMigSlJM+cbbZVDMWsiq1RLWFSJljvkUJzc1bx6G7J+XrgwbKN9keJZlZk3F/07E00bgg8WEcuVp4JzBDJ7fPGUOYJh+OUiyYaQt+a5iQyXmIuBJo+GijXvcV6gQ+giVNy/RATCKkVrTFIAkIozmtDCP7Kv/KiHlg2Bq0Dm9ZQZJrOeg6rjKWM6AkhBVkarW1KLTkxDuclk1SSaMm6CXR1S6YEozKhcyG23oLH+ziB6b1n2Vq6wTJvLUoGsqSk7Q0h1SSSaBw9eAYVf6czl8m1ZGc/obIJJ6sODXyq6Wmtx3gBQhC27ed7y469ccbBbkaZaRohriZq717UnK87tJa4AFWi2BunpEpirKXUEuvjOWKNp9omLEIIjA987MGKR2flVrjvWGwMe1WGtYE7FzVZKtmtckLweBf1YLtlwqO7Jc1gI1leSu7MO1pjmJUpxgaOdkp2h4gp8QGMh91S0VrPYD2TLGFvnBICPHNes24soyyy1+zW0soHT7LlkBHgfN1xb9HR9JbTTcdemfHo1mIIwvZhJVBm8UGmM455Y1i2AwdJ8QUbynmr/CKv4zre7vG6kq9//+///Qv+bYzh//yf/8Mv//Iv8+M//uNvyoFdx5d/zMqUg1HGg2XHqo8tsaNJjhCCRWvY9IYi1S95avchsGoNZ+se5wMQuDdvWTSGSZGyP84IPnBSD/SDQwlB3VsSLZAQkyMhmZYJg4NCw6xI6Yzdwl1jRe3BumdWJuxWKQHBTpUwKzO8D9F6xgcwjnVvCQQ2m4H7y47BweE0o9IJLg1MUoWxMDhPrjW7ZcL+JOPWTsngPefLnsHGxdP4uCDCFgtgPVKC8Q4lFEdF1K+dNUMUccvAurVYF5iWCUrIyBFbR5zAk3vjK9bWoo+TjqNUsVtpzjeO1gT2xmm0vTGepo9VK7xn42GzcAghyCTM2wgmdS5Er0rnUVJQJQoboufiqh3Y9J79UcKkSFi3PW0fLXqEsNS9pbOOi7WhTCWDsayHaJStBOSZwjmJCQFJpOo/NitQSuJ8/LlxgTuLmtNFRz1EPluRaTrjEMQki5BS5TIOA/iEVIloAyWjb6UQIVa9nKOzgSyRTKpodp1qyXqI4Nu9UYYUgkd2Cy5WA8vecn/VUSSaR6Y5lgCN43CaUCUJ5/XArEjJqozTTUeh4mDHvHWMc82TewXGOT5+vKY3fjuRGGhtbCGfraLBd288d7OGKo1DDue1oRksT+xVlKlm3sTp2cd2i60Lg6IXLn6PUnBrWuBCYN4aZlW2Tb7evKGcLw2/yOu4jrdvvK7k6y/8hb/wktf+0l/6S3zN13wNv/Ebv3FNuL8OANJEcWsn52TTcjjOGWXJVmvl2a9Smt5jS/+Cp3brPZvWcraJMNXDrRbqwaonEEi0YJonOA9KSeoueiI21nI4KqgKja0tWkFnA8ZYMp2Sa0UI4KxDp5onttR1LePwwLhQZFLRW8coS5hkCV3v6GVgfxzBsHVvaV2IGp8qZ90bjIdRnuBc4MYsQ8uEQguM92w6R20M99Yt/RDQBC6a2KokBNJEse4NI6VYthbjAo/s5NyYpvQmCv7vzRvO1wNKejpj6U20MtoMlrO1ou0dPgQQijJRpGWCkJL7q4FcCXbKhEXrWXWefohsMy0lpBqsp+4HrAvccxatNM45iizqiXbzCK0NAR4sOzaDQ2nJk7OUm9OCMotWUjqR7JQJFxuPFpIylww2sDdWWC/oTfRolC4m2cE7chm1c2WiyJJoZv1g0aKUpBss56seL6BINV4EEqnQGk5qSzXEwQqlIqJCSOhNIAjJo7MCRRw8aHvL2dqwbC2P7pYEwIZokn5zWmJtbL0ejjNcgJOlYW+UMtpOQC47xzhXjDNFriP7LNESs2VtLRvLaCdhlCXUg6cdIhfssZ2S3WLg/tBinGenyCgywbpzbHpHnkoSrdi0hvnGsDNKUVJwY1qgZBw+GRfRR3PZWAiQJpLdUYYQILeYCudCPKe3eq43cyjnrfaLvI7reLvHm6r5ev/73/8Cu6HruI5RnrBbZRFi6gNaCfZGKdW2knG5cIyzhEUz8NxFw91FS6Ylj++WkWkUYFYmnNc9y6an3CIRNluafZEIVBAMLvoAqjjFz6IeuNh01EPUD6VasT9JOdtY5nXECNQ+glKfPChJk7jwDc4zq1L2xgnL1jIYx7qPk5OZhEkWYbMAmz5WI8pc8/juBClAKbh9tuHZ+YZgA4u653jZkycCrRQeC16gkZQqGpRnqWaSK2Z5Sm+jTqxME05WLakWBCTL2rIeBloXAbCpEqyagVXvQAj2RxlFJhlnilJL0kQwKxPWvWHT9bSDp0gCowzO27iQ7hRpFLpbQU6sdIkA/eCopSDXmmVnkMTW2jjXpImk2tLkL2qDcdGrsDeeca4ICFZtR5mI+JmlAO9xW4J+5zyTQiMBJQN3lj06eDZDYJpLlFYUSUJrPWUW+W7BQzvY+PcVYIOnaR2P7OTsjiJhPmrAJEUumVjN/igjk/DZ85ZlbZgUmnuLlvMmWg15D/eXLc3WoF3i8F7RmkBnHfeXDTenGe86GFObaDDuQ2DRDqw6s03AFO1gkUIwqRJunzeIAOMy+kqOzxWDCwTAZ4I8DWitSBDoIqXtLXXr2B8n7I/yqP3rHflWD2a8p0oVvfVoZanS2CbvjWOU6wgufpEE5I0O5bwVdmbXcR1fafGmJV9t2/JzP/dzPProo2/WW17H2yASJdmrMlwIpEohJWgZLYoeFgKve8PgAkfjLHoJaolxUc8zyjW7o8jfSnWcZlMyTocFHxlVm8Fwf9lxb9Gyk2ta41l0Q6ysaEHnYpL02F4FtHzmrCHVgqNxyuO7FU/sV6w7g9GO1njONz3dEHAuJk9N58h03OfZytD5NbMithtPN5Z3HozYLTVBCG6f1ywaQ9s6LtqBRWvoBgtBcrhTIkK69aKEpo+VpkRJnPX83t05rXFM8qgbOln0CCCEsJ1ai1N9g4VuW6VynSUXgvlmwHqNFD3jVNG2MMp9tLnJIvjUeMe6s/Q2IHxgQ0wuM63IpMARv99MgXWStTE4AmWumGQpoy1XzHl4x27JvB443QJ1DycZ41zziQcrzusIBI2cqkCSKGxvGazD+YA14INHBME009S9o8oDjshdSxJBPTi8l0y3cNN6iF6Lo0yTKcWNSca7Dit643mw6jDOE4Kj60EqyW6VMsqipq0eHBfnQ9SHWc+58dyYZlRpQmcc9xYdu5Wmd6CEJ01iNTaErT2Wi56X69ZwXvdY6yMsVcst+T+hSjSpUnQusJMJBhvbghe1wXiHRLA/yjE2AnilFDgP7WBoFxYpJTenBYMLdNbG89F59Dgn15EXNxSeMtGMck0iJZNCv+mJ0PXk5HVcxxc+Xtc1NJvNXiC4DyGwXq8py5Jf/dVffdMO7jpeGi8ngL18LfiAkOIqoelt1BYpIa5ef7kb9cPvCXzO93/4f5vB0prov1dlCZlWL9jHwy1F5y0EAcISQhQ3uxCwg+Vk3UfReSJJE4WIbjic1/3WkzG2B3fyhL0qYd3E6lWZqtgeSuOpvOksD5Y9O0WszHgbaK1jmsepvvP1wE6Z8J7Dip0qwXlBYxyb1uO85/cfrHH42P4JASFlhHMqGOcaYx29G/AusOkCSgZmVcb/9eiEGzsl55uOs3XHanDb4QAYZ1HXZn0UmacqVjI2ncUEz6hI0MCid7SDxbjoSRnCwOAszjoaa1j1Hi2iBVDwns4ELjYd7RBISskkUzyxV0EQzJueICKuQm5htcH33F/1ECSZlmw6w3o1MHgo0oAsUia5ACSdDSxbRyCiDQYTTcPzVKGl59685fxo4GCUcV4PPDYrKHPNZ8/WPHPeUOWK88aw7g0BxX6pGDJNawPdYLbG0opEa7SAVAoe3StpTeB8M5AnEhlCrCrJyPPqBssoU4SgON8MCAG3L0T8fhFIAcerHqUlT8xKbu0UNIOPhuG1oTWWXMUWmrExGZJK4IfI61p2jqORxoWoESt0xqYzdMZxc6eISZ+WzApFZwOrznLeGHItkQJO1j1Hk5xUSc6WHQ/WA0oLbk5znr2oub/qSLXicJLT9o6682gVLZBWneHTpxt8COyUKSdLiwtwc6dgUqZkiSKRLUoLJnlCrhWTQn9BIMthS89vjY1SgW283snJa9H+dbyZ8XY5n15X8vWzP/uzL0i+pJQcHBzw/ve/n9ls9qYd3HU8Hy8ngB1nGrbj6fNmiGiFVCGJE3UmBNrOISXsTzL2qoxZmV6JZh9+z8F52t4CgiJTpEoyzjWE+P6Lrb+fDwCBwTnunLXcWTY0fVxEntgr+b8fn/HUwZhZ+bx5dpVo2n7Dp05qOufJpOBokiFEwXkzcPe85uMPNggRUCouukoLtJTUg+dTx2vOVi2rztFbRwiQaK6QFSbAMDjqwdI7RyIkjbGsWkM7WO6tOoSATMFm8OxWKYN13F12KAU7ecqmG1i1htN6YLw16970kTt1uu4YjKXuo/h/dxwrPK3xHFYp7z4a0RrHx+4tWdeG5+YNy3ogSxTt4AkiEt6bwVI3A0kiMTaw6Q1I6IeBTCdoFWnmTkBnHcsmohGMtdGIWQsGY+mHgBcwDIFBxAnDVWMoEo23AaWiL2Iq4d68IQiBIGCtRYSYBKaJQMqIaw0BlJTkqcQLUCjyNDDONcs6Vm6UlpRZFM0HYmXKWTgYZ3zyeM29Zcv6xPLsWfRMPEpipdK5ON3XmbCt/sRKaKolm96zajruhECWxKro/igFH1AI9P+fvT+NtSw9y/vh3zOutfZ4hjpV1VXd7gGbBmNbyQtviEkiQAwmwnZEFKJgYWEJQSKiEIRJopCEhIQhIgQSJRJDlMgQcCAo8MEJsYyVPyQR40vgj8Ejtts91XSmPa3hGd8Pz67jrna76S7apt05l2S5umrvfdY+e1j3uu/r/l0qc2M9cLopxUDpdlZc3akJOXO0cQwx8dCFCVf2GmaNZuUDGkEfEn94a80QMpUSzBvNSSvZBA85b+G2cNp5lICRVTxx0rFqXeG4bXqMkEgheOykwxrF3rjiZbsjVr3n5rLn//f4KdXW6N6HwgEjJ+ajkkN5cWoJCXIWPHAwpdaSzeC5sSgXBDGVcaSclAueVe/50I01D18eszequbrbbBdEBKNKc3FWM4TE5VlVoKsv8Innqd8H6yFw2nkujC17k4q43dJ8PpuT56b9c72Qeqm9n+6q+HrLW97yAh/Guf4oPZMB9iOHGyAXAKcrm2q3lj2nrSfmAuOMqYwQQFCpskkGxTT71MeMsXQXAIyuqbTgI7fW5X5G0g6BzieO1wNWC/7wxponFi0gqQ2krPjQzY6ybyh4+UVxZsx9YtFyYzVweV6jteRkM/CHh2ukFBgl+eCNDbfWHZdmDWR4YtFjt4HDicT1k67AJRUlO1FIjtqeG8PA2iUOphVWKxaD47T15Wo9JFIQaA3rIYNItGRal0oO5NpTGc1sbMkxseyL96ayknvnDTdWjsPVgJCZ3mcGl0hATInlxmOlZHdsuW9/yuAz/++jCx48mJTiV24XBHJmbBVya+TfDL68XigEpfiJMXOy8iA9I6sJQpJTZmJCyZSMiSwFOZZInvWQkWXBDhcAmakNNKpAbK+te3asYqfWJDIL51FINp3bcqsU9+w0uJAY3MC0qRhCotGSnAFR/n82qnhwb8R101NZT1MrRkogRPnhVkraEAib4uXyoRRas7oAUhfbQt3HwKp3xJyoK8OsUgUFEROCTMolYmhkFYerkoNZaYWRCp8lY6tQIhOToKk1l6cN87El5IyPAp8iZIGSAhchBhCyjPt2GsOs0iyHQOvK7/7SrOJ4Uzp6LoBP/iy/0sXEaeswG0frE5NKcWlWEWPm0qxBiOLBOmwdNzeOeaV57GjDqneECH0MrDrLwbQw2iqlmDeKLkR2pMaQee+1FRsfSTExrTVZwBDAaM3BWHBpXvOy/Qn6KdFBLkROW8+qL4w0JQUHU17wk85Tvw8uTsuiy/Ha4VPiwrh+3puT56b9c72Qeqm9n55z8fV7v/d7z/lBX/Oa19zVwZzrmfVMBticBS6WVfaYy5W7koJbi+GMpbUeAhemdTkxhUQXIuNas+wCjVFnj6lV8ddMmzJi6FyBdbqQSTkRcwmMbn1kXBtuLXpOOoeWikpLjC4Zg+3gOekCi85zvHFMa0OIiSdOOqaNYVZbQiwjvd1Rxa2Nw4VIbTVXd8bFMC1hXhuOW09tMzuNYXCJLIoPrFKKxpaTe0ieuEU32JGksYZKJxqt8EkgJIDAGvC+/L58gBgDWcDYKsZa8cSio20dxirCUNhaXQiEmFhtPEKC36ISUBIpBRnB3qQmJThpHaNK4xLMjWKnMQhRcBkpQ62LhyfkTK1F6U4ZidWGiMfnzOAgUvIatYDWg1GCUaVQMrPpy0lWqjIG9AlCBCtAC0VWkkYLaqOJMXN1t8EaeOKkjC77mIrBXUClFTHDbFzwGxmobBkP+wxWZuaNRkrF/qSmC4FVO5ArQ9t3eAqyYj0ElIKpNYRckBBIydA7TlpPpSUbV65QlZRcGFt2RpbT9cDh2qGE2HbaCjB12XrWg2PWlCWNSgpsYwgxM/hQ7A3Oc+O0FK4+elKCm+uBISZqJbgwsWglqWzY+g3t1kOVMUoyGVlGVaHUDzEhUgYtMNqgBEipkFphYsnvXLlykfM5lztmY8PhKjIyEolgUinImaULhACjSrJxJbx8f1STBbQuklPmyDuePO25PG94+PKYDx9uaLTevicTs8ZgtcWIQry/sSmoibHVrPpQILlSsFNbhOQFP+k803fMpVnDxJZA90uzito+92v152vaf6mMks71qdFLcQnkOX+a/tSf+lMIIQoj6FkkhDiHrL7AeiYDbMx5a8SGEDPNdlMvUzbKtBS4lJCidAXYdieUkPiU8OnjjxlT3rKiyuN3vmAPpCidlxBLTExIGaskbSgnPVF4mcDHM+6cj/iYGUL5MvUp41JmZ+sdSdvnMraGW+tiktZSMq4sMZfCMYvi3ZpUirWPrIZITJHK2BLVsw3VVkIzscVzltZlTDWykiEFfEggNJt1IFFMyuPa4H3PJkJKJXbocD1wuHQgIo0TIDNHmx5JydHrfSoG91RO3j4kvIilkDKCNG8IGfbHVRn39p7OJ0ZWs9x4eudJuRQLGkghE0XGJMnIwpAkpBJYnRFIBEKU42tdOSnnBFZJrBKEUDpwVoFXqWz+xUik+J0aE1AqM3Waubbcv9dwfdGzMgGZwaXEcTegKN00LTSzOiMlbFzEh8R4VhW2VwoctwMn68Jkc9tFh0x5z3XOo1DMxh6rBFZrVp3n5qpnYkph7mJGYJjV5X43lh2L1rPuAzkXzEhtNDomIBW0RM4sO8dmKEV3JuN8JMaybVgrzd5EobQtBZMo77+Tvrxvd8aWeW0QUjAfGTYuENaJShdshNUVLpTFiiEWOOzJxgElFkoKwCiaSqEztM7zO48vOJha9icVV3enLLrAB2/0jGqD0YIuJKBcoCy7wMv2Gz523DG4yMv2x0xk4YtdmdfcuzdmiJlbK0frIkZJRraAU4ccuFqNSTmXKKR+U4rG2hAixTeYeMYoohf6OwagtprWBcTz7LA9V9P+S22UdK5PjV6KSyDP+Xg/+tGPfiqP41zPomeKDlGinMyEKLEuIW0xAYDc5hrarWk8bp3fRpcMQyMlRn78MbUqBVpICSiZgUaJYtaWAq2KuV7LEm8y0gYpO0IoxR8UWnuIicYajBJU29BsIwVWlmggqy1y+1w2gy/5fQHaISNjYqexhJQ5XBVj8s6owmrBTXrWPmOGwLxRJIpZe1ZFtKmRlExEtoWL94mBgBZlbNUFCMCq83hK4eY8HLWBkVHsNoq1g7WLjKykGwJtiLghImWGVMz2IRVOmIsZBs/1pWC/tuzOLauhnDyuLTxH6x6BoKkVeQv8NFJia0HrMj5GZEzEIPEJJLAzNmxiZmQKj6z3iSTEdsxTumgxJzLl9dayQFCRkpGRKCmRIhdPXIB15+hcZH9clUDnacXalSzIbijFaQYanRlXmmljSDnhlERQtkxzm9j0CWsUFytZ+Gsrj9lmPZ62AakcXdDMGsOszmgBShRS/2pIxJhodHmjHi17POUKNsZMimANGAmrrhjMS2xRphepbEbmUtT7mFj1maaPTKwmSxBkDiYVIZWipA+BGBJLHxhpxYWJZdEpdkcVRikONz0nG8fYJi7PG544bVn3ZVQ6hITziY0LGFX8YC6Vjdw9a8k5segGjCwj+L2JJVwrxWIMpUumleBgaqFA66kkRFkAwLWVfPY9M3ZHJUfynnnDxBoeOVrT9okulJSAcaUZhnCWaOAjnLaO2chyaWIxWrIeAo1VuG236IU46bzQ8UTP9fFeaqOkc31q9FKMz3rOn9v777//U3kc53oWPVN0yO0uFKp4vhZ9QEmwWhQjugtMKs2mL0XBrDY0WhFiZm+qqa0+e8waxdgqbix7AC7OakBgddl8q4xk2XpyLp2dnbFmd215YtESXKbOkRBLZM6VeXncvXEZ/2glubrb8MEbKwBqXQCWJ+3AZ1+cYpTkdx9bsOwC9+w0iJQ52gxcGGtm23y8ca3pfWDVB/Q2Q09J2J9VVEazMzJIBLfageXGkbbE9sO1wwdBu4qcrh23GwQxlRBoKJt4VaVZuUSiAFSlEDgfGUKgNgovBGNTQpOVFoxEiU6a15adqUFmeOy0ZWw1y85xsvIs+oGcMkYrcs4MMSNyxhpBQqKAISVSjigyWldcqLYB0VJQGchpm+23DQcftsT5xpjS4Qtla1QpRa0zo8rgt0yp1ieyAykc01qRtnBboxVWl9GW23K5Zo2lqQ0yl2xEkSWPHW84XDqsloyspDayRAjFSNzGOyEUJkKvChLh1prSocoZmctmpouBhYflafFZSVGeu5SSkMvIrRUOssBK0Lp4wlyI9CGRImW2mnLp3mbY9AGtFILErQTaCDofcL6MnA+qGhcjN5cdRkseujBhVGmsEpx0juPVwJOLjhvLgd2J5WU7DdcWPcYqqpwJsXSCOx+ZGcVIG1of2QyJSWX5yOEGKeB47dgET4iw25QNxBDL74AscRHu2x0x2oZgWyXoXGIIiXltGHxiZBUpg1Wi+MS05HDjuK9STBvLpNYoWXhss8aeGd8Hn7DqhTvpvNDxRM/l8V6Ko6RzfWr0qYrP+pPUH+ui6b3vfS+PPvoozrk7/v6Nb3zjH+ugzvWJeqbokIcujEGUv/MpMbjEwazm0qymHQIuZ7ohooVgb2aZ1oadkTl7rKc+plKCvZElbztpZHjoYAK5/HuI5eRX7TRIAdNGc3Bc8cRpx2aIaAEPXWz4Uy/b4cGDydljh5i4OK0JMXFr5TjtHGOj+P/ct8u0sfiU+NzLU26ue1wohcN9Ow0X5hWVKiemV1yesj+yXF/2pYOk4WV7E+7ZaZAIVkNg4wJXdM1OrXE+k4QAAYdLh4sRHyMjqzBK0fuACwmSJKZATIZ7phU+GVZDIKTM3shipjUuBdZtpPeliJVSMq3KiXZnVDGpDE+e9hjgI0ct625gGMK2cwJCBjKSti+5jlf3KqaNpR8iQSQaKQmU7UYpIGZB8AktFDujwkMLOTKtDLsSXCxA0JAytTVokamsQKLofcIoRWVLvuGmL2PPE1WKGm0UdtsdHFcwHxVUgZGKeWU56QeeOO2IOeBcQJuyqRpz4qh19DGjZSYhcUmwO1IowTaNIFBrS1Mp9ia2+KX6gSFmFkOg6yMCSrEpiz8qZhgGiLEsU0irOBhp2pDonWfoAQUmlRH4pCkA1kljuGenYdF6TjaO/bGio4xCQwrs5S0eIwmWXWDRey5OKkIokNXr6wEtBftTy/7IcnNdWGYH05pj0XO4Lh4+35UC8HSbQzqyZftxPXgEgkhCZLgwLvwzIyXrfssxiwnIjEeGvVFFSOkMmyEpqI9ZY9jpLUr6srUbyrh+3hhKXy+ToHgLc6YdPC5lckz4qM/8bZ/K75i7jSd6Lo/3UhwlnetTpxf6/fknrbt6b3/kIx/ha77ma3jPe95zhw/sNn7i3PP1wuvZokPmTeLKbvO8OV/P9JjwiZyv+ShxJTfPi/OVUuZkM5x5OYxWPHhxxMgYKi2prT4z2b78YFrM7b3n8eMNH7y5KXExZC5PLFd25viYcDGzPzFYXXxClVZnzzPEhEDw+GnHh24sOVo7xnbC3jgQyZyuHZNKMmksvY/cWPQctw4lyu/n4k6DC4GwEExqxQM7I7qQ+OitNdORJMXEEEuXyseSJ4koHqbDjePyvObhuuLDtxIf6wJ5i0YQolzVT60sY7gkuDirMDsSkTPLvoSNT6xhZDVKKU7bgU3fE5KlqTU2aqwCqQTLtvy+fUxYAe0QiNvfrxSCkVEYIaitKiewkDgJiXEW7I3L9p+1CikkRsL+pKLzEZcix+sBIQQGiVCGWiSMVazWvsTyCFE2LIlsuqGEbFN4YI2BS3PNvTtTprXldDPwyNGGmDISQa1LMZp8WRaQOdL7Mg5GgSoLuSz6hNwiR2wVMaKwuEhlNG5yJqdUxt0y41LipIW9icJqjRCZW2vHfbs19+1NESJTKcUTi56bi55ri57dxrAzruhdiQkKIeEzPHhhRNqO/za9x4fMTqO4d7cunyWhyDkSgmRUlY3A1gWsKksOErhnVrM7MTRW8bK9MVpIQiq+RikFzmcevjxib1IuSJwPWC25b7csuBy3Ay5m1n0ZbR6tHRcnFUNMPH7csvaRixPLvaZcBHy6vmM+FY/3UhwlnetTpxf6/fknrbsqvv723/7bPPjgg7z73e/moYce4jd/8zc5OjrirW99Kz/4gz/4Qh/juZ6iZ4oO+WRxIs/1jfn0+z/XxwfONqBuF1K39UxejmUXqbU+u8/TH/doM3B9ObAzMqz7RIqRjx4VTtXBtObqbv2MPpCnPs+DGPk/HyvUdWtkMainUrjcXHl8FlilzgojJQQ5w7r1nPaB2sDFSU2XMmsXECpDFCAlVqdikA6KxgqEzDxx2uNixoXElZ0xQyjgzUXrsZKzZQelJFqmgjCoNffujjneOK6tBnKGe+YjLs1rpBA8eggfaB03VgN7TcXuxHBrPdC7yG5lCr0+SJyKyFQuenLMODLLIbKrBOu+bMEKITBSInPxAxqruDRtEKLEKFVC8sR6Q9dnDjeOlCN+C4MVQnK87jhcO+a1oneRwZeR72Yb8zNtNJWCjHgKBw5aX7pGu5WGHOlyWZTwLjAk6LfXZyMKfy1StjedCMwbg1Vmy/aShV+Wb2/ewjokbqw62j7gXUBYxWkX2J9IKilxOZITxBxLtmPvGVvN6aZsRc61wcdETIHDtS8m9gzX6RFK8MorM45Wbhu7VEa+08pSGcmqT9x/oebitKbW8owTtu4jUsOlnXo7Ko7cs1NjlaLzkRAjWkqqRrIzqjBScrzpefykI283V8ZGcc+84eZy4LRzvGx/xP7YFu5WG7kwq/is2jKqS2TRavDs6hfeF/XHjSd6ro/3UhwlnetTrxf6/fknpbt6Dr/2a7/G//gf/4ODgwOklEgp+fN//s/z/d///Xzrt34rv/M7v/NCH+e5XqR6pm2lcaVYdeE5eTlu3//mauD/fWyB2t4/50jrM63zfPTWigf3x8+pvWxk8cMJEikJzDb02YdAryRWFt/NZojsj0u36HA1sOpL/M68kaxdODuBWqlxvnifJpUGIamUpFaCxSbQeo8RgpMuoFSPBw7GlnYo3S9JGeO6WBhhOZUtNpEFgw/UUmJ1AdsuOk9MmbUv8T4gCrpgEVn0gW5w+BAZbaNsGiW5b2+EQHDttC8Q18HRuqGgEBqLzBmrdOlsrQZiStjtRlmtFE1V4nNmNTx5uuLmZuudsoKJVQy+xDKFAI0xjKuyfXiyKR5AKcqx3966/citNS/bK1FNIy2xVpVNxpAZXMSlYka/fVoVqiyNGAQ5JbTU1EazOzZlK9cXNAYy0XYJISQTW8LBs5BkUUbVnfPcWsK4Kp6yReW5nGBWa4SQrPtA68uGyOF64KQd2HSRTCmiKy05WQ284p4JV3ZKYWy1QEnFzdOBRR25OqvYG1dMbAHsdj6xcZGLU0tlCytvPQSsgs0Q+fDNwN64YlwpGq2wRhaGmSqB5IcrT2M1PmZ8TBz7uM1CNVRGcd/eqGBBjjaMK8OoUiUUHei3W5Wf6b6ol9oo6Vzneq66q+IrxshkMgHgwoULPPnkkzz88MPcf//9fOADH3hBD/BcL249U4fr+mLAx7JR9lQ9k5fj9v1DLGO6lDKPH3dcmFRc3TFsBsNJO5DgWVfPU8qctAPvv77k0aMOoyQza9gda0ZGI3Nm0W1YDmWclLaQUpEjEyvYGdWcdJ4nF57TfsnlSYM2qoQgR01tJdNaMR0GFkOk84K+K9DLiRUo5bkZCvuqQEMlnSsohUlVzPpCFEM125GlNZr5KLPqItdOO1oXWQ+B47YnhIIgkELQeklKERfguPW4kHFVOVEPOjKvLDu1YnBlw9HFjMgl5WDWWKYVxAwhBmqvuL4cOFwOvOLyGCGK7+vx45bFENn0boslga4vm387tUQqyeXZiNpKPnpzjRSC2kjIklrL7VMSdC6w7AOnXdncCzHhXCwLDJGCyYBiulcwqgQJsd3sS2xc4gAgw7SpaGYSl4CUkEiGELfoDoEVcLMLTJLg8k7DFuxGFyKLNhQERxI0VuBFLmNdAh+8ueGkdSghmVQKLSQXxwafBNV2QSLHwtK7OK1JObE/tqxdwVKQ4bGjDVZLXrbb0IfEsnXsTyouzioqrbi5HFj2npN2YN1L+pCotOChCxNO2oFVFxhVioOtP9NvR/htH7iyW7PTVFseW2kljitduqjP8ln6TNRLbZR0rnM9V93V5/ZVr3oVv/d7v8dDDz3EF37hF/IDP/ADWGv58R//cR566KEX+hjP9WnU84EdfrJtpSFEjlYD00ozG338CrZQzcv9Pr5q7jGyhEwDbHwBwYatyVormFeGdii+rk92TIvO8ZFba5ZdYFaXsVLrAiEnFDCtK+ZjR4iZRET5yLr3JbLGaqSWzEYSnxRjq0mihEcLUTpF6y6SKKHURiRm44rUJQSSzmUqU5gRJ+0AQrLXGJaUk+PJxmGVYFoZKqvRQjAfaayW3DjJBFM8PjdXXcFhpIyLICkmda3Lst8Qyp97FxCyFFRDKBuDN057Fr0jpVJUalF4bzlnjvuIyhmlFEMI7OkKowSnG0/vy2bihw/XJVVAazwRH4qhXEuYjwxCSvYnlpRBa8mo0uzWkig1U1uo+BsfqbRmXCnulZZV5znuEi4XZISU0AhQmuL3ioAr24W1LQBYpcqm4arfku8rQxUTAs3IRnLUtC4VRlROBDLH/QArweVpzbwxPHriSBSo6e0um8slDbwN6WzrVWkIOXPvrOJl+xO6kGis5BWXJyw7z3HryntbGy7NaobjDSebnscWComgscXfqHNmd2ToQsKqArC9MK2YjwyPHrccrgYOppZZbRnX5o6Lk3lTnn+jYFYbOhcwWrEzLh2tsC2wehcY13/8nMUXq14qo6Rzneu56q7e7//wH/5DNpsNAN/zPd/D61//ev7CX/gL7O/v87M/+7Mv6AGe69Oju4EdPn1bqcAxPaetZzE43FHiso/sTSp8TIXfpRTX6NFSlADi9XCWcUdKXDvtuDSrSSqz7B2DT9y/PwIBnY80fKKXLcTE0cbhQmZvYrl3b8TN5YBPuWwVpoTUmT91dc71VV8y/LZB1z6Vx3vyuGNU663xXWKU4sK0+G1kyixcJLjAaetorIE+ElOh0AuRSTHTubJZioC9ScN8kjhcDvgs2JkYrFS0veNk07NxJa9RiMioUqRYsv18zFhTArldLIVUylAZGNny332COAS0L6kF/eA4aQNGCya1oQ6BzpfxoI+CTCQhETIxJEFKiaa2fPS4pR0CKWc2fULIhLYSAkwagdG6dL4mDSqXUPM+Ze6/MOJ0U0zpeovC6ENiYiR741IgKKWxFUxyIMQKiSflQKVKkdUVmw8uFL9XGqCxMMqZxeAZk2ms5qT1aMCHSBdSWV6oFIvOcdR6RAaVBes+cKIHGqu3RUnpqhghOek8q35AirJlqKQ8C/PeGRnmY8sQy2s5hMzRyhEpUN2TzcDFSU1IcHVnhNGSi5OaWaU47IaSYzmriTHzseOWo7aQ+w+mNUYVJInZ4lYEpbMmBFw/KUHhs22qxHoIbIaAVZJL04ppZc4WVta9Z9l5dkaWeW3JohRs576oc53rM1d3VXy97nWvO/vzQw89xHvf+16Oj4/Z3d29I3D7XJ85uhvY4dO3lZad52jtQGQuTRsqLTjelGw4I0rm46wpfhYfE48eb7ixGtifWHICocp47bHjDTu1ZVxrHrgwwkrJ4bIcS6XlJxSFMRfDuxSCWmsOplVhIYWMk5CQpJh52YUxLmWeOO6RZBCZjY/0LqCVZjbWjEzBJygpIYtCco9QK8VSRKyUQMS54kWyRnOxUcQkCCmy11i0EExHlmXrQQruGdfcuz/i2knHxmWELB4k5yPIjOnK78O5zGyi2GkqVq3juA04OCOal+caCRlyAiUzbgisY/FRjbVEITmYNZyuHcetp3MOpSRKJowxjI0h5cwTJy3XFj21zKyHyMaHQr0XsiAOomDVZ4wpm3o7teKJ09J526kMzpcxr0qCkMsm6mhsmDeGca05WTkmVmOVwsjymj15sqHdjnzHdaLtwVG+hGoLVpfXyrnEvIa9UeFr3Vo7BhfQsmSTrgbPaZeKf83IAhPefu+cbAZ6n6iMZTNE7pkbpILTzuF8YGQraqPYGVs6nzhqPfq448IsM6819+7UdC7hQ2Raae7bGWFNYXBZpZFSIAXcaj03lgM+bse8wOAjbhv83ofiXwq5QGyFKKkTiYQSJZi89RGl5Na3VS5GLs8rDqYNJ5vh7PN4MK1Zd54/eGLBuFJcnDRc2a1f8G3Hc53rXJ8+3VXx9RM/8RP8lb/yVxiPx2d/t7e394Id1Lk+vbpb2OFTt5VCSpy2HsQ2YHlk2B1b5k1kCKlkNhp79vg+ZPqQMAKWbWAIiXFl+KyDKU+c9lzeqXjgwgglJNcWHffsNEy348TbReFtn0hOGavLSv/xZmAIidpIBu8xSnB1b7x9jpFF55AiAxnvIQUBolQz7eCplCBLjUiJR0/WkAW3ryd6V4j/5AKfnTUGKSUZRWMEIQm0Vswbw8VJzaQa2PiIVNANnlvrgUTZUPQhkoVAUGJlhIAswbvMSpaIJSXLB7SM48D5VMzpEmqt2JtUyJy4sejxGbyPRCMQfRlLdb50zWqRiAlkNigpubYYCDkxsSUn87Rv2fQUPIaOWFW6awDjSqC1ZjUEtIwopVi7xLhSfPalCRk4bQOVjyAlkUK4dzkzFiVSJ247okIqKp3RIjHRhhA9IsCsEcxG1TaSKmK0xBqDT3n7HrOcpgIVzbnE8rgQkdtZdQSMyvQu0Q2eSgsaI9ls+W9aSuaVplWCca3YOEXnPSEVGOrpxjNvNKKx1JXioKpoe8eHj1pWzhNc4rAd2B1V3LdbM4SAlRrvEiuXkKJnt7HsjQ0na4dSgmltMLIUcbVW+JCROnFr6UpcD7DbFI9jG0uhdu+uZd7YOz6PVkkeP9mUInGLcLG2JCB8qrYdz3Wuc33qdVfF13d8x3fwLd/yLbzhDW/g67/+6/mqr/oqtD6f2H+m6vnCDp/qC7u9lXS4cqwHD9tttqPNwNoV/1XOeRuzA72LbFxg0RYcRMppO4Is5Pv5uKK2ip3GcroJSAn37DQcTGqkLNtnKWUePW4ZVx8/qhgTrfNcX/ZMK7uFsRakxIWxYTVETjYeyGyGMjKc1pq5FCz6SAyBVR85mEgu7lRIAY8dRlws3QmtJLNGs+wTvcuk7DnaFBxDbRQXZxUxges9lZJcP+1AQm0VOSZuLHs65yGLsk1J4U8JIkIIlJbkFFi7hDElMF3I0mlqrGBqNDeGAa3ACok1msYUjIOQkoqElAZBZtn1bIatuV3ArLL0MbJ2HiVlwV1UimmtWfZh+1qXIqZsLUJIZcx5dW/C7shy2pbuDzkzawy7kwqREtdWQ8nm1InlEKg2jlqXrdKba8+8Lr+f2ipcSoyEAgW1Kr6vzeARSpOBkdWEWKKqlCxF3MYFVp1n8HAwMyhEyWEUpeBurKJzkdYnrErMRzV7I8OoNpDBuYSwonTmrMD7kjRAllS6dAEnjeRgWrNTKx457BCi5/HjDcvO8fhJJMVEZRT1VCCUZNVF9saK/my712zjvTQZwbL1HEwixmouTOry+YqRIYDVEgnMRoa0DeeejewdHksf0tnn8aR1PHrcUhvNrLZsnGfTJyqdXhLbjuc61/+tuquK6dq1a7zzne/kP/2n/8Rf+2t/jaZp+Nqv/Vq+/uu/ni/6oi96oY/xXM9Tz8c0D5yZdjdDwBqBRJZ8yJjvMPU6HzluB9ZDAMQdvrDGKA5XHY+fdlgt0UFx2jqunbRcnFq0UiVIOxRv2bwxJZ8wleDuC2PNrLG4FCFbdhrDxhV46/628Lr93Jad57Hjliu7DUoI1kPxYt1cdnQucrj2xJDYHRt264o/eGLBfFRzYWq5dlrCmGMso7yL04pR51h3kmmtGdeWS9Mai6RSmuunG1qfqVTJyexCwkWPD9CLTK0TldQMvpjayWk7LpKkDEZmpBIct4FKKrIE7cvz6BCQMwJRNgAVxLANTc+ZSaXJtkQeXdwdEYXAe8+4shhZQs/XfUQKAUJhVQmGPvQJIRJzC3tjy6g2jLIuRW/vUWwXI1wJ6a6VQjSlKA0JcmSbEVo8UJ0PkKGNmYqyoLDY9BxufOlUSY0xml0NcZs5ejCuWA6BGwuHkOC2kNyqEjRGEHPxWDW2xFgZJdkbWwaf6Hxgp9J0MZ0xx0aVIoRMn+I261EypMREKEaVonUZaWB/rBlbxaYLuOQ5XA3ctzfm0swwrg2Hy4HGKnyGuSgcsUprNs5TWc2m8yxd6artTmpS7olZc3lmmTQVPmamI8NmiEyNYlSXAPFF74g5b6O1NAezmsuzilltefyk5T2PLwg5M7GaS/OK/VFFyJnWJXbHzwwf7V1g0Tm0koyMIuSysdlUit4lKh0/47cdz3Wu/1t1V59brTWvf/3ref3rX0/btvzCL/wCb3/72/nSL/1S7r33Xj784Q+/0Md5rueguzHNp1SM3uvO89GjNTGVravGKmojeehgghSCk83Ao0cbbq4HRlazO7Ioo7i5Gkgpk8g8ftLy2GnPzshQKUnnIzeWPR++BRenI7QUIAUjq1n1kZQiE2vpQmDRBSpTgp+NUgwhQc5M6lLY1Eax7D2H647f/dgJiz7y6NGaLAT3zGuUFKxcZKwldSWpteJ0M/C+m6c8crjhnnnDgxcmKFnGm50vG3h9SBhlqExiZDWTSjOzuhjYlWDe1HTDhna7cSZyLmgFIxhXmrFRzBrN8cbjtttu87FkUlmONh1rl6mEoB0SUmZyEFgFQxCkbQLBrLYkASMrmc8sUkiQMK8Nk1pBFkwaDTmxbBWjWiOSoPWexggqYwkx4qJgSGnroUtMGk1OkkltGYIjRUk2kolVgOBoPTCpSnZj1wokMKqgc4Xr1fvM8WoghAL1rCTMphUnm55ri8JGyMoHjwABAABJREFUmzaGqRUEBLuT8j5b9wFZl9FuGxK7I8PFaV0grCR8yFRklkLipEZSsg2L70kgs2QxBDZDZD1EQooc1BUuluOJMaIldC5ylARaZ1IOCCytC/ShbEouB09KMO8VD1/eY29sefSoJ2ZBrQQ5C+YjS600PkcGHxliuWgxWhHzdqnCSoyWjI2mTxG/LZDv3aupjeaxkxYpipm+MYpxXYLGXYDWh5LMMK1orEICPhaA77Q2z9hZvj3Of+K0o/cJLSStL8a+3bGh1ppF59gR5iWz7Xiuc/3fpj/2RdNoNOJ1r3sdJycnfOxjH+N973vfC3Fc57oL3Y1p/vZ9hCih172PnLSOjKE2FeRym2uLnvUQmTcWJQWnrUNNinn58dOOGDMuwaVpzar33Fj0jKxibDQbX5AOjVVcX/ZoIRjXhsZoLs5qbix6nlh0CJnRQmIrSQbmjWEIkcP1cBbu/fhpy5OLgd2xKdtuwMnGb4GYglWMSKlYRMfHTlpCLEWVEPCRww2rzqGMRAlJ7z2tL6HFQpQR1M3FhlU/UBvDqnfIDFWl2awdmyEAGZlFGUMZTaDE5EysZkMk5sSmjwgCVmtW3cAyRFrnIOcSsh3KSFAJ0LJsv8WY8EmUXMmpolGlyLowram04v79hlUXOd04hhj56NEGsY25GVeSdRcLkR+YNYbeZ/ohIJSgD5F1X2CpYyuZN7p4jQY47YsxLGeKOV5BK+K2OwYuRI43eWs6L5R7lyJSFD/TuhekCHtjfRa5tNg4RnbE2Bp8kxlXint2ajpfcbIZ2LhAYxTWapZtYNLoM9O+VXB5p6KxlqPNACJz2kV6H2isKaHnMWGNopYlnSAMGYFiUlt2RobjNlBbyUxWzOoSO3TttGNnVPFZF0fcWAwMURAj7Iwsk0rTutJFUkowG2luLT1tCNvivIxi60py0FhcSIx0xb27I26tXTHKzxqmI02M24sXo1n1niGUbdZpMFvOW0GxrPuAkeKT4iLOvF+toxUZFwrOorGlS5dSZrc5Hzme61yfqbrr4ut2x+unf/qnefe73819993H133d1/FzP/dzL+Txnes56m5M87fvY6RglTIX57ejUQJSCPYmltPOkyn+L60Kofs27PH2CeR4y7FqhxKaHGJmWhcPV9MoAsUcb7Tk8rwGBAdTWzoPTYltmVaatQtoVXw8k0pvi4jIyWbgZOPwIXP9dMBKGFzicDMwrwok9LgdqJSk9QGjJKs+sB4iMWb2RhqyxIcSNl5LyaiSrH0hz59uHNNGlxDlVWQeBZM9S0yZm2vHuCobgDFTNiBTxpDLBqE0uBQLhV0IpJC0rnjFtNYMMeJdwIdE7wsHNMRihJ9WMGuKJ2osFZ3PWCMxCAKZwSdurQb2x5abS8fe2HLf3g63VgN5+7oWZEVC60idJIs+s1l0uJiJMbFTaXJKLDaepiphzNPa4nygdZa1Gwi5EPWV1fiUaFSiqiRGFd6ZSIlKSmKKHG8inUsMKbEZEjFFKi3QQnO46jCmvB5KQOs8zicWyXND9eyMy2u+6T05Z+7fa+inkeNNwLuyhKAQHMxHVEaTRaHqT6yn85ELjSHEQOsEAsm81hgtGHzGyFLkdSFR6fJelTlzYVoxs5aTztH5VHxTfUAFCCkTQsKOy+3HpvjHBKXwlMBOrQkxc9I6vE/M9yzt4Lk0qxjXhgykmNFKlK3QprxvWxfwsWzgTmpDqHPZBKbAaNfOUxnJ1Z1nDseWUnAwawg58cRJTyaTs2DVl672g/sj9if1p+Kr5FznOtenQXdVfH3d130d73jHOxiNRnzt134tv/zLv3zu9foT1vM1zT/1PkqWgqIxpbAaiVL0KCHpQiBnmNR6e7uCldBS0vlA7yPt4EnWnBm4Qy7cq40vxdS0VmilyORSKG0cnUs0VuFiJCW4/8KY086X+BUtzmJUKl06TFpJrp20LHsHUvDocVvidDqPiyVz0Taato8MyeFD6SzNRhqkpI+BwUV8SMRcOhoKihHaZ+ajqoyiakAITlp3xoU6WnumlWZUSbzLCJHxIXJzEYnJURnBzqhi2Q2AoPeBLCS7I0GMmWEbGq301tOVwANrB1pFHjyYUFvD8cYxqzXrIeJD4GDSFD9XLhwzLWA+soyqYuQem0DrE23vWHeJkCNGbTEUGZIULH1ExYyUmXElqZQiZcgUo3fe+t9Ot12mSit2asPlvYZGap44WbN2iUhm00W6EMrvVkJlBbUWhJA5bB1jayAkaitZtJ7W5YJYUJIb64HNEBhbtd2CtVyaj1j2gZgGdkaC1vVcOw0cbRxXdwqioiNzda/icO1JSjCpLPszweA9MSUICijFT6Wg7QNSSxqp0ZVACEHMiZAKhb73CSkLlT9TILTzxnJlp6L1iVXv+NCNFUPIJVtSSbSCWaPJMlEpyefcv8c9swahCpn/ZG/g+mJgVCkqrbi17DncOKa2jM9DTOxPS+d5PQTWQ+GjXXqWGJ3bFoJuKAVcNySMKZ3lvYlhf1w/a+LDuc51rhe37qr4EkLwsz/7s7zuda8733J8kejpzK3bejYS9u37pK0/7HZhFVJCq3LSsur2SapsB96+eo+pnJyGLV+rsZJ79xoePdrQOcEQAs5Fqh3BPfOG3kesktRKMqkNPkYmskS77E01Y6vptsiF24XX7eOvtGSzdlxfDiAEi/XASVtW9rUoodW1lCz6iJCCi6MRy3bg1mZAG4kLZaPy5rpncIFKCZIomaT9MJBEgXZGMpdnDTlDDImQSwfvtPeMqtI5dDoQkmKxcWxcJOTMnjQsu4FbqwHK5I0MWFmKO4nAGk1ygazKh04LMBRkwI2VZ28iuW+nxmrFcbfBKMlIC1aDp/UCFwaunXbknHnN/XtURvD/vO8mJ+sBYyRrV0ZZEkESAqElEwlalddOy5I/2d1Ysj+q2Z0YXIjbkWsJ3V4NvkTwSIEPGSEDIYttQHnEKsHGS6RIaKkYGYVQEu8jYUjcN7dorRgZiU+ZOQZSQkjBxhXfVFMZLjclweBoNZC226LtEACNMZFVF7gheowUtN5x3JVC/Z5Zw6kt3d2lKx2p1gVkFvQhY2NhjsmkSEmAgugTh33xSy2HwMGsYlYZTnvHzdOBlDMxRUbWsOp6aqtRStIoOKgqai2JMTMfaypjqXUxv2cBervQsj+u0VKy7AI3lh2rLnBhYtkbVRy35XUDuDCtP4Hn9cn0VAvB5XlD7wKtj+yNzbPe71znOtdnhu6qcnr729/+nG736le/ml/8xV/kvvvuu5sfc67noacyt6B0vHxM9D5+UhL2U+9jdfFUDaGYjOfbccvF7RX7tUWPkoJZXXIKWxc5mFZcGFt6H3E+Mao19+2NyXTcWETGVVU6NLWGXLARbUhcmlouTmtmTfGw3D62T3b8e2PDrVUZY/WD54nTnhhLGHKKieXGsX8wQimJkIJ7phU5JY46z2LjmdaSnBXrzqMyHPaBjCBkCD5jTGbdlU1AjWBkDZkS4rwaMkpI9qeWJ487Fl0gpsyQStGpRAk5DimXk7EpKAEfErVWZK1Z9WVjrbIGHSLKlAid2hafmQSMSHzk5po2JLrtgoEUa5S0TCpF1mXMeLjx3Fy0GKkYtuywxmpCCqSU8TmTcoF+djExlgofQFtJoxMhwXHXE2NCaMXB1JbCqmwB4ENiFRKbzmFNCX1uKglCURlN6ztilsRUipYQE1IVwOu4NqhtiPhIayZWcLp2LAaP1SX0fFprXrY/5tqi44mTshXqQmLdlyD2K9Oa66uBVefZacqG4/HacTA2GKm4MJEMQ2QYEnk7mk0popVCAdoYKi0ROSOFZD1EJrXi4rTGaMX+uGZkNUYXiG7vAk+eDki5QoqCu/i8q3NA4pzHJ5CqFKe1ljx22nJzPXDf/oj9cXW20LI7rmiMoo+R3caeRQEdbEeD6y5QGU+t1RnP65PpmSwE5XcraV161pitc53rXJ8Z+pS2rR555BG895/KH3Gup+j2F/qyC7SugBsvPsto46n3Od14Qsz0LjKyhbq9MzJMK8Oic/iQOOw8icys1ty/X7YXV0OJfXE+kXIxOn/WwZgrOxUkmDQaHzKX5g0TqwkpkTOsXSzdkZTPtjGf6fgvTAp+YLEp9PxbK4cPWzaWElTWMtVlw2xvXKOA2dhidImQ+cPDtmydBU+jBS4kFn0k54Q1pctTukUZRDGYF1NzIKeynXnPtEICax8QKHIOjK2mkhIXIyetxxiJ1pJaa3YaQyaiUAgh8EnRuYALESsFEUllCzdsVCmEkCy6wGEXqXXpUsUceeI0cTArncOQE1MrOW0973rvTawuIdu7I01Ash4ylVEMsbwWtS6erdZFVE4su0hlFVoL2j6x7jsubUOjF53Hh8jeuPiPOu/pXcYqyXyk0LfHlxkaq2kJxWzvCkR1r7bsjSzTxpBEZrHyVJVERkGUaRtzBIOCEEoU0aV5w7ILLPqBx457FJmmMmgpGAaPS4mYMhd3aj53aoufLwSmtWZ3Yln2A08uPQrBbFzQJFIpBHBxWqNkAfn6lLm80/A5F2csnWczeG6uOnpX4L8hRCqjUaJ09D96tCGmSEplVK1EuSg42jgaU0a2tVXUSjKv7R0LLUKWMWRtP/61KqXgwqSm0p4rOw2NUc9aOIVYiu8hJKb1nQT7l0qY9rnOda5PcfF1rk+vpBTsjqsz8vtz4Xw99T5XckNO+ewkorfZdocbx87Ysju2DCGWKJyQWMdMbRT3zGpuLHtiSjTGlGDrZNkbmeIr2mY3Pn684fpqQMvba/kFRwHl5PVMx7/qPaedw6dCl1eq8JcmlSQGyDJzYVITYqGK11ZxfdFxuByIUvDQxRGzxvKxwxUuRrxPGC1wXqCFQAl5FuB9MK6YNYoQIz4KJIn75mMuzSxPLAbiNpRZy+JLk0IxBPDJM7hYRrES2lC4VX2M7DSaB6YjjlcDf3irpfUZISPBlDHsrFIkAYetR6niHXM+sHKRlBJHy4Gp6dBGkGLGxQhIiKVg0zqz1xSg6OATiMIFq4wkhOJ1an1hqc2FYGQtg4gsu8C88mxc4rQNZBK7U8verGJWzYk5cXPVYVCsnWcmJYuNKyyyDI0UICWVERhtmFSGzkV8SqxcYOPKGDPlknnZx8jEeHwIdCFxdXfE/qTieNWzaD3zWlPr0qkKCEZGMakN00qzP65xMbHpenYbzb07EzqfyXTsTSouTCwxZ7wv3LJ7d0fcu9tw0npWnd+a98v7+cZiU/IxfWQ9BHLO3De2HG1K6LpPCasVjZIcHw2c9j3L3jKtSjqDlJLOBZ5Y9FzdHzNrzNlCy7ON/usthuKTfR6fiokZQuLWsmcI8QwufPtxblsIni/L71znOteLS+fF10tQWsnn/cI+/T4hJjaD52gz3DH+qIxi03uePO24vNOUCJStefn6aVtGmEqxPymjFavL/W4tC4C1NoqxLUTw9RCZ8InbmLeP5Wz8ohVWfzzmJ+fEcVsibi6OKi7NKloXkcDlec3EKk42Hu8DFyY1jRG4XMCeQkhqBW1fCpMkBFopZIb9acXBvKJWqgBMfWC3LqPQoy3PLKRClHd9IopIzplRBSSFVIksSzEXY0KKgjLYG1vGRrLoA8etJ8WMQtB7zxOLxEMHYy6MKya1RCtNrjV2CKw6V7qAMTHVkuPW0/uE0ZJoJVKV7MnTvlBRXSxMrJE1VEqRk8CQcPE2R6s8L6MU46oQ9IfBc9wNZErRPR1ZdCOYW8uqdXQ+0sVIP0RuLlt8LFuJUgmqrQH+4kQxbxQ3N/2WS1U2DDYulOWDXHyFQWSuL3oWG0eIifv3xwgpmVSmmNeVZFILfIwsukDG87L9MbUVnJx6Hj0ZOB0Cn7VXchgvjOdcmtdYo3jsaM26i2SRON54JLDa+sEygSEErp10LPuIkiVbUYeS6aQRDCGx6gK7jSkJAI1lf+xZtAMpCy7NKjICKSEnBQJWvWfemNKly2VZ4fmO/m/rqR6vaW0YfPy4V2xSnz3OhbFl1fvnxfJ7Keu8CD3XZ6rOi69z3aGUMkfrnuOuYAKONwN748L70tstRCHFFkZZqO+LjeP6dsPreONoh8C9fsRmCOyOLWOrOe5KtM3YGtQ2JggK5LQKz0zqvr2NKYHl4MkRYkr0PpFFJjjJEYVYfu9ezcsvTYgZaqN5YH+EiwmjJNcXxWh/1j2TCilKYbBbW2qrGFvNyw9GvOzClAcOJnQu8H8+eswf3tpsu3MZqWDdRqQMGK1IKSKlYKQtkDFKExK0rnjA7pnW3LszRkjBk4uOS/OG+cjifPHtrIbA4EsnUSmBlCW7T1BYUZu2hGLvNYaQcglujgktofUgyLQ+0HuFUbmEPAfYbUqxZaSmGzROBMYKRkYglaJ1gZGWhFx8byOjaH2J8VkPDiUkhyRspdifVpjTlvcuB3wELRKzkUEBl+cNFycjjCncMiM1QXpiyAwh4GMuSxRZYISkjYHeJ3qpaKqeCxPLpVlDZSWbLrI3qSAmVv1QYo9E4gM3VrSPejqXsBoGrxhrS0iJeaNYdpLcC4SUHEwrVoPberM6FCWa6upugxBwY9GhtqPJxijMWGEktKGM+Y42A0IKGi2IKZEQaCHL8SvFxgWGITEyklqVDtcQIlaps4WWuxn9P5PH62D2FK+YLhcgF6dVYdE9T5bfS1F3A5Q+17leTDovvs51ppQyHzta88jRBiUlUsCtVc+Txx0H85qdkWVaF39Mtd2GXHaRjx1vaIcydhNC0PrIrWWP1WXrbacpgY9aFtN8s0VHaCnZDI7dxj7rNuaNZcfjRx3GKPYnFeuhRWRIItA5yaL3yFPBtOrYm1ZoKbg0rxFZcGs90LoCR40pkRNUSrI/qdgMkbpWXBhbDqYVO+OK+aj4i6JWVNsTHBI2K0/IsviqQiClMpa0StPUioOx5qRNrHtHYzT7I8vuxKC0oHOB0y4QQgkcNyqXIiSUwmTZBaxRHK3bEnatt0sISvLg1DKuNB872TCuLVORECKTsiQGxZqIEBmkZFJX+JhAKhZ9oFKSkCI5gFdwuIloWYC36xBRITG2mt2xJW0K9+pkXfAGKWUeujgiZRhyoe0rYFSVTMmYIhOrcSmw2ZScxZgSs8rgTaRbZ3wYSpdMKJSOEDUhRLxKHG0k77m2Yt5oZAKtBL2PrFrHSetQIqMyLNvSdRQSGivxAU47R2Ml11eREEEpwYVJRVWb0gmTpau4N6r47MszjBRcX/VU1iAQ7E3K/4+s4mhTCr2dRjOpNSkmglJseldyG2tFH8oW47hWpJwIWbAZIjeXPZUWvOLS7Kzr8tTR+bBNMFBC4FNC5WfuzjwTJkYKUQC75uNeMYDHT9rnxfJ7qepugNLnOteLSefF17nOdLTp+ehRezYaPN4MLHuPQNINgXGluHbqGVeKKzsNnU8crsqoSSlB1yUuTismVcEY9C4xsZpVH9j0nmUXWA2l+Jo3BiFEMbhXz3ylqpVkbBWPn3S4mFCiRBO9bHfE0aanj5GHDhouT0bcXPV8+NYaKQQ7k6r4nxAYWTo7V+ejEtTsywl7pmDmIpPa8PKLI6aNZdmFUki6QKUFJ50vmYKpUPIhkKJg4wXBBSqrGUlQgI+S/ZFif2xBCi6MKrIoBcXReiCERDsUlIYUglurgc55prVm1lTsjg0ptpy2HlcnLs8qLpvim9v4ArMVEk7XkUmlqDUc+oiWopjNtaRREh8SG+/pQi5LAyhGTShjSAoUNUeBS3AwNWfFlFaSTedpQ8LIEp69GhJPnq5Z9L50ipQsIx5Zir9HjltCzEgBlVUcjC178wqoWPYLQqJE8aRIygIpIkMo7C9DJqVUNmx9GSFfaQyHMaGEYlwJGiNZ+0ggQxTIJDGy+A3rqiwCtCETBs+4Mty/b7lvf8J6CNzcDFgjsVpy2jnGVrPTaE5az7QytL6gGwaftgw3jVaaxgg2g+fWyrM/sXzWxSkb51kPkVp93NumjWTa2FL85Dvft7cju042jtPO0w6BplLsjiy7I/sJ3ZlP5hXrXSi/K1mKtiHE583yeynqboDS5zrXi01/7M9q3/fU9TOTln/sx36MS5cu/XF/xLk+DQoxcbLx5Wrfli0rHzMH04bBRVwueASrJVYX5tKi91xblMKoMYpZXcKxJeAQDLFwtxaboYxnjGRfVWyGwKPHGyTFHL3qIxu3Zq8xd4RoQwm/1koyrwv4NaXMfFx8NtMEF0d1GU1KuL7sub7sePBgAlngfKCyirULHHaexipG1pQRJpn79kbM6xIv07nAkCPtaeDGoitcrI3D5zI6y5lCyU8CSSaLAnH1GbJLLNqWWS25uNsgkYXWLwXHG8+yc+Sc6X0gAlZT0BC50M53x4bL8xFSSvyNU6aVZmIU15YDjx53KFmQILUSCAopvzGWWkPWhVcWY6ZLAZlBK4MJjpVP5FzC0VPKuJTISaBVZmQkuxOLkapE1Ywss1qx6CMXJhXz2hTavd4S+0MmxEROGZCsNgObITJrDGOrkKKMom+tHffsjamVotYKZyL9kPAxk2PYvtcya58QQyCmiI8ZsDx5suG09Uyq0l0thUuJOvIp0fUOrxSVcWQhuDCxPHBhxGk7UNvC3hpCZFZrKq144qSjtpo+RKaVKUWLyNRWkrLiaNNTW8nLDyZcmRd21vVlz//5WI/aLmBMGk3rLI8crvngrQ0PX5zyiktTLk3r0jGEErs1+jj+4XZXZgiRdghIJWhdwsiwfa53dmeejolRQnDcDhytB2aN4fqyZ94YxlY/b5bfS1F3A5Q+17lebLqr92hKie/93u/lR3/0R7lx4wYf/OAHeeihh/hH/+gf8cADD/CN3/iNALzpTW96QQ/2XJ86xVw2EitdOj1SCOKWep9yZn9subrToKTExYRQgv1Jxb07DVoUEOeqj6ScSRkgUylV0AJD4tK8JuZC+K6tQgpKRl6tWG43vJ48aXlgP3D//uSsABMINIK6UqxcIOREjpngE0IUUnym+MJSgs7nMnrLkmtLx6Wp4eq8IaVyMp/VhspIfEpcGFtihvddOyXmMoaKMbFxxeM1hMDKQfSeRCkuBhcJ29GlUhKz3QyNW+zGxW1xdjoMNMYiskBLRWMEjEtGn9vS02tdSOvOJw5XA6tuQEm1DVzOLHpHSKLcF8FmSEwqzcG0JsbM2GgQshjnfUEztCEzrgSVlpymXEj+iuLPSxmlYFxZ7t+rmY8aep9IJJSW+CGzP1HcM28Ya8Gt1tOniAvlOVstSDlxugms+8i41kxrw9hKhJQoUV7fo2WHlIKrOzV2JViIgS5kssq4Un+xcQX3ISl+LaPLcoJVCm0UMXlubQa6mMkp4zLYDFEU5InPif1xWSAQQrIeAodrR4wwH2uUyExri1aC0GZuDMVj9tDBpGws1pFL05pJU9hf06ZccFRWc20xMG0UeyPLZojsjCse1gqur9ifGC7NK/bHFTFnRObMcP/UJREjBauQaCp9lufoU2asxDN2Z57qFbu57jntPBfGFXuTqsRcrQYuTj85C++PMvS/lHQ3QOlznevFprsqvr7ne76Hn/iJn+AHfuAH+KZv+qazv3/1q1/ND//wD58VX+f6zJES5YTdmLLur1X5Alv1hdO2N7KMqtJ9uv0Fp5Xk4qxm2Qc2Q2EinbSemBOzSlNbSR8STaUYVcVoP6k1LpSR4GnrWHWRaWOoTQkM/uhRy6TWZxTvLgQixaBeG8nYWm6uO1aDp64UVgiGmOhjid6Zi4xAcGPZc9wNXF+2vGyv4WBSb7cdBQeTis4Hbi0Hri07jjaeeWXYDIEYI7VV+Fgy+6ZGcugzwWe6EFEyQSwRQUrAlb0GsqRScO20Q2vF1Bh2pxUxwsp55krTy4SUMK4ly3agkzDSBd6ac2bROlYu4GJiuQlsfEQkhSQVU33MSDJd77m2HFBCMDEaaxIxie04UFGpzM7YcmPRgZBUagujRQICcmZ/VHF5b8LMKJa+ZDVGH+m9Z1bV7NSGjfMsW89JV0Co3ieWvWO9hcwKIRhbxahSxJRw3lNrTbP15c0aw43THpRkZ1qjuoGTdSQBtdXlPaQFKd3mmkmkUlyYa1qXuHWaEFlQK0hSoVykzyBTZhg80kpCgFvLgSu7DZUpcUTXlj1d0Ny3N8FqSWM1Yzvw5EmP86UDl2LJ/3z4nilSCm6sBmRfjkvkjFWCRqsS9G3UlmcXEELQhcR7H1+xP+uZVIaUYVJpxHb0+EyRXVBSG/ptB3XjA0OIdxRLt71ijSmF2nxURpwA24dg2QXumddcnD4/Q/9LTXcDlD7XuV5suqvi6yd/8if58R//cb7sy76Mv/E3/sbZ37/mNa/h/e9//wt2cOf69On2F1rnC/6hD4mUy0beQxfGzJpCsn/6F9y8sTx0Yczjpx0nG0djBFoa9qcVU2uYNIpVF86uUrWUJFnGQyFEmqktodRQEBTRcboJ7I4SAJshcnV3xGkXEEIihWQIHucSPiSOuoFL44rrIZJTYn9c8eRpx/HGsT+2LDpHO2RORKGkr7c0erM9/oyk0QqpSzC4Txmlt8HK0jBvNJshMGpU6WioiqUrOZFKQggwshKhoNYKERPrXIKbZ1XZpvMZVkPktHPUtmQR1lKRlWA5RIwuvqnBle3JSBnxCZlph5JBWVflar+NmeQHlDRYLSBpjExUpkBbK6WotSZNCsz21toRgN2xhVRezzYGrp/2pKktcUgplnSALLi5HtAy47Ng4zyHK89eI7m0P+LWqqftPaNG0jtwsYwxY4YcQOqycXb//oTDZc+miVwMkdPeY5RmOiqMLCnK71cJUZYhtOC0HdBCcM/MsjOqWLWOUWWQQOsD2Up2pMDFTE6ALNDViTA0VjKtLONalZFiKqDTe+Y1k1oXQ3bKnGz6j4/2JDRGsjuuGEJk0Toaq9ltLJ97z5RHjju6fmCnrjjqBw5Xjqs7FTnBrbYDmVFIpBQ4Fdm4sjTxySK7XIy0LtCfBkQWWC3YH6dP8H8JKZBS0Jg7v5pvj9Sy4Hmz/F6Kuput0nOd68Wku/rUPvHEE7z85S//hL9PKT0vov2P/MiP8JrXvIbZbMZsNuO1r30t//2///ezf88580/+yT/hypUrNE3Dl3zJl/AHf/AHdzzGMAz8rb/1t7hw4QLj8Zg3vvGNPP7443fc5uTkhDe/+c3M53Pm8zlvfvObOT09veM2jz76KG94wxsYj8dcuHCBb/3Wb8U5d8dt3vOe9/DFX/zFNE3D1atX+af/9J+S89Pcti9y3eZ3bQZPiOmOf5s3lsuzmnljmTeGlx9Mee1De1ydj+hDycd76hdciAmfEvOR5fOuzPn/PrjHl3zOJb744Yt87j0zZqNSbDVWnhVuQ4hshtIpSwLMU8YGISVqo0hkYs5nXYTdUcWVWcPYlI7bA/tTvuDBXT733il9AJ9gZCRjqxlionOR/bHdGvsrLkwtCcHSeaZWk3IqANONox8ccdt5Om0dOQaON+XPcUvuz0BdaR66OOHq/piXX5hwYVqVuJ0hYqSgkpJxo1n5QO89LkaO2sCiLSDPxhZ+1Wnr6UNm1FgaJQqNXpXuycgaLk1qrJYgC74BMkNMxJg47UIpXlDMGo2WZZt0CNAPxYh+cVpxZbdh1tTsTSx7I82sMphtBqYAFhvPE6cbnjzpWKyLP+m0G8r2auv5/etrPnR9xY1FR+cdHz0d+ND1FYu2dL1aB0MI3Fy0fPhwxZPHLbfWHb2PSCG4Z17ziktTHrgw5uWXZszHFdZo5iPD/rhiajU5gXMJowr+ggg3li0fubVmYhWf/8A+f/4VF7iyW7M7rpnVhsYYGqW4vFNxdacmxdJp7Ye03bx1TK3GKGiMoDZlhO5jGfGOrWVeG8aVZt1HfvUPj3niuOXSrOHyTlPyNCvJ1d0RO7XmdO340M0Fh6uBBy40vPzyFCkE08pidQEEX5xVXJjWLLtwFvszbwx+64/shsCyd9xaDaz7QE5wYVphlOLmamDR3fkd89SR2lP19JGaVpJKPzst/6Ws253Cq7sN9+2NuLrbnIGaz3WuzwTdVefr8z7v8/hf/+t/cf/999/x9z/3cz/Hn/7Tf/o5P869997LP//n//yskPuJn/gJ/tJf+kv8zu/8Dp/3eZ/HD/zAD/BDP/RDvO1tb+OzP/uz+Z7v+R6+4iu+gg984ANMp1MAvu3bvo13vOMd/MzP/Az7+/u89a1v5fWvfz2//du/jVLlxP6mN72Jxx9/nHe+850AfPM3fzNvfvObecc73gFAjJGv/uqv5uDggP/9v/83R0dHfMM3fAM5Z/7Nv/k3ACyXS77iK76CL/3SL+W3fuu3+OAHP8hb3vIWxuMxb33rW+/m1/hpVUqZk83A4ycdp50jA7uN4d69Ebuj8qX1yQj5TwcZ3n6sZ2LsAByte95/bcm1RU/IBYh5aV6x6SWnvacbIpvOc7q9/6VpXUZ9IW83+T7OTSojqcy0KVt/9zaWzgU6FxlpjcbTh8i8thy3juUQiDFBUhyue6aVYgiJ041j1fbsTCtCEHTe8eSyUOszaTu6yJw4TxKC3cbgdWY9FERE1wfmI4tVElUXCv6iCwgJIWfidrvQKk1KJY9QK4ELmesLv+VgCWQWSFUyDqd1jU/w4MGY6cjiHs/kFOn7RIoJF4uPKIpMiJkYE40WjBuND4ngE9ORJWfwuZi7+wB7SiJlptaalx9MS7EbM4tVRx8i49owqwwIwYcPN4SYqIyisQrnE50PDCEXk7/RtBvPkfdbHljpOEoBQkDOnl4K5rXhgb2GWVMid3ZGlnFluH7asz+y5T2UINiyteqXHUEUP19KuRjbh9LpfOSoY2/ksVqw6MqWrBKCPgUapZg2JconkbEKOp/oXaK2pYtpjWTZR4awQQrB8Xpg8GWc7FLxCt72Kd5YDRzMPPuTCi0l15cDRkkevDhlZ2x55HDDaefZbSwhgtaSB3YaJrXBhcS0tigp7jB6Pz2ya9MHUkrsjisOphWz2pwVCc8EGD4fqT133Q1Q+lznejHort63//gf/2Pe/OY388QTT5BS4ud//uf5wAc+wE/+5E/yX//rf33Oj/OGN7zhjv/+3u/9Xn7kR36EX//1X+eVr3wl/+pf/Sv+wT/4B/zlv/yXgVKcXbp0ibe//e389b/+11ksFvz7f//v+Y//8T/y5V/+5QD81E/9FPfddx/vfve7ed3rXsf73vc+3vnOd/Lrv/7rfOEXfiEA/+7f/Tte+9rX8oEPfICHH36Yd73rXbz3ve/lscce48qVKwD8y3/5L3nLW97C937v9zKbzfjpn/5p+r7nbW97G1VV8apXvYoPfvCD/NAP/RDf/u3fjniRmzwXneMjh5syQqvKy37Selxc8/KL4hO2r576xnj6fz8bYwfgPY8veHLRMWts8cv0nqMnltwzb9idWBSC+dgiT1pWncP5xKVZzcG0FIG1+cQTkZZstx0Dy84X7AGCvYnl+qJnd1So+d0QGHxgXGkOppbeRY6WPTdbRwwZ1RXQZ0gJmSO2MoRQWFnWwDLASEmaujzjLGA2MaQk6IfIfG7QUnJ1TzBuHSlmEoK19/QuIkyh6AMMLrEe/BYVIRFCYnSJzplVJTvTx8Th2hcTfgy0PhNiZGQU01oScynCZlbio2DROzZDImaQMiOGrcl8VAppHz2Ha0EMmdZHjjeOdRfxSdCHhJGKSpZA6d5HVs7T9QmlPHsji1bF75ZzJqTEpK4Y28CqFaxSKGNKydmoMeXMyGaaSpfwZ6MAsX0dynNPKRdGl88YVZYPbi4FOSWMLu8hISRKJRSCyghWnadPmXGtqUzJxvSdYlRrJpViNUSslFye1exMNJnII4ctH7y54uq85mX7Y8ZWbcn1HiEF+IK6yGQO26FsVUpY9p75yBBT4taq597dMbVRXJo1WK1437UF11c99+2O2BtXjCuNEFAZiZSf2JV6emTX4CJPLLpt7NPHO72fbDvvfKR2rnO99HVXl1FveMMb+Nmf/Vl+8Rd/ESEE3/Vd38X73vc+3vGOd/AVX/EVd3UgMUZ+5md+hs1mw2tf+1o++tGPcv36db7yK7/y7DZVVfHFX/zF/Oqv/ioAv/3bv433/o7bXLlyhVe96lVnt/m1X/s15vP5WeEF8Gf/7J9lPp/fcZtXvepVZ4UXwOte9zqGYeC3f/u3z27zxV/8xVRVdcdtnnzySR555JFP+ryGYWC5XN7xv0+3Qiz0bhcT08YwspqR1Uwbg4+Z423cy3N9rKcydpQUZ38+3jiunXYcd47dcVXW4yvNfGTpQuK4dQw+MWkMO43lgQsT7tubcHlWg4AYMzFmFr3n8ZOWk81AoxU7TTEfN0ay7DyjSmN0OSHVRrEzqtgf17z80pTPuzLn3v0xGRhXmgQcbkoA8+V5RWXKpqVVispofIxkATEJagkTq7g0tdwzrbm6U8LA98c1F8ZlzChEiSHaHVXMaktTaaaVRAEhCdbb2KIQI0ftwBATldLElGi9R1G6TH0oI8kQ4LQbWHaBkSkFzMXZiAcPxlzZGdFUhsuzMlJRqhj9UyqFzeDKiLTzjr2RZmo0qyEzrTT37jeMrWLRJk47z+A9IQTIJetxPUQO1w43JIZYulghFS9eHxNSlIDn4/VA5xIhF6+cFqI81wh9AhfK/9rO86GbKxabUoQve8cjhxuOVwNPnnQcrwOnnYcc0VIybQyXpg0XZw0724JmZDVGK6ZWU223BKd1xT2zEfNRxUP7Yy7vjNBKIRB81sGEvWnDpk/cXDqsVmghmG7zFiWZz7o44eF7ppy2nkePO3IGKSQ5QjsEci7oi+O142NHLdeXA0+etlw72RBSYn9S8dkXp0xrw+7IcHlesxlKGsDIqNLZGsLZBcNTdXs0WFhq6uk4sE+6nXc+UjvXuV76uuuO7ete9zpe97rX/bEP4D3veQ+vfe1r6fueyWTCL/zCL/DKV77yrDB6Oifs0qVLfOxjHwPg+vXrWGvZ3d39hNtcv3797DYXL178hJ978eLFO27z9J+zu7uLtfaO2zzwwAOf8HNu/9uDDz74jM/v+7//+/nu7/7uP/L38KlUzBkfS2yNlh8/SWgpcSSGkJ4zG+fZGDuboYAryWXD7rakEEhR/E1DzEy2x2C1YlJnLowth+sBKWFnbBECOhf5wPUljdGMa02IicvTmpQEuyPLchu2fbIO7E0slVXknNmf1hxMaz5ytOLx446bq4EMXJxY6kpzuBowusBIfSqogEjZGBQIpo2iqhRNVTxKVSdpXWIyUlRK0FhFpSTXWk+IIKXChYCQgsoocorkBH3I9L5Q/7UU5JxY9eCCJ+ayKTj4zP5Usz9uQGQmo4rLRtH2nuNNwKfAvNZcnFgQgtPOYxQopQh9oI+gyQQFj5603NwEprXm0RNRjOpDxBiB8gUR0YeMyBHpIzKXRYCYIafivZNS4ENgGMpmoTEBWZexb0xblmgujDOrQXpIElyElQ9sXODRo47ZdtR7c+3oXNy+1wouY91FEoGHLoywSrPoHLdWPcvBs+kjjVU8cmtNFAVVIkSm95LBl7HianBYJLUuhcjxesAowdW9BoHi5rKj0ZqYMzfWA5e2Xq4QI8vOERNcmGp2x5rTNrBoHSNTOG/r3tP2jvd3DoHgyk7Dw5emjCrN1XmD0YqYM7tji8ilA7jYlBH+ovd0Pj5jxM3djhI/FSO18yzEc53rxaG7+mw/9thjCCG49957AfjN3/xN3v72t/PKV76Sb/7mb35ej/Xwww/zu7/7u5yenvJf/st/4Ru+4Rv4lV/5lbN/f/o4L+f8R474nn6bZ7r9C3Gb22b7Zzuev//3/z7f/u3ffvbfy+WS++6771mP/4WWEgKjBBnOtq/Y/jlTCqXnysZ5NsZOpSVkBaIEFd/eKCzsr4w1kkp9fAMspHQGAI0pM6p1GYX1gdPWcbQamDaaaaW4uXIse083eHrf4FKi7SMhJTbOo1WJqBHAfGy5GsZoIZlUGqlUia8ZAiEleheIWUAGqVShv8fim7JCsHGJR4/XzFpNH8BIyawu4zSJwIdMZUr8UMqJD93YkDJYCcs+4JOgC5EUEv0AWWW0groCnTPrzrEZSsbkshVMGoeQkqvzikuzEXVlmEbJtJKMGsPVnZqYYN3Hsl2YNpxs2yiZMho9bR2Vi0yrEY8eromUk7fKiRjKZmKMpUuVuW3mL61vLSDEiPeSPpYFA6VLvmRtFe3K0w9QleVIUipdMqGgkrc3FyXtEEkJPnbaI4HoixG+MdvCLgkWLlBZSa0USgmUFJx2jkUfGVcSmTPXlx0ugtGC+cgwNhqlJFYp2iGxCJ5prXj0tGVmFdZKdkeW3gfWg+cPb64RAlIukFgX4MKs4p7dmmsnA9dPewSZlAVH7cB6iFzdachkalvyOQGun5ZO2dXdhpdfnNzhhQQ4XPccJ8e4MmcF1SeLuPmTHiWeZyGe61wvLt1V8fWmN73pzLR+/fp1vvzLv5xXvepV/NRP/RTXr1/nu77ru57zY1lrzwz3X/AFX8Bv/dZv8a//9b/m7/29vweUrtI999xzdvubN2+edZwuX76Mc46Tk5M7ul83b97ki77oi85uc+PGjU/4ubdu3brjcX7jN37jjn8/OTnBe3/HbW53wZ76c+ATu3NPVVVVd4wq/ySklWR/XHGy8aw6T6zKmbvdRgbtje1zvgr+o67iAa4vep5cdGddn1XvabTkYFIzrQ2LvnCOUixZhy5laqsIIXO4GRDbWJ6m0nz41holShdid1yhhOD6oqPWgvm4xm07Gjlt/UQ2EWMk58ze2JIRNFYQIgx9QOTMqo/4nNmti9do0TkkgsoULlnwgdP1QMqZaW24Z6diiIZF74t5vY6EGLm1dmw6z1HnSTHTWEgIWu9Zt4VppQyQSwRRLSUIgYuRFDK1haA0fUwMXeBk0/P46cBnXRjTNBqpBFZJdhvL9UXH9WVL78sGZl2BTuA8hC2A1PnIrcXAaRcRokBXYwIpS9GVysIqt/frJOW47DYYO+aIUYLxpBSV01pRac1aCTqVibHkczYW2gEQ0NiSbKClKJmfWiFlpmsji8Ex+MhpG6lVRhpN8IGTDQxhiRaS+ahiVGv8lvcVYkYjsEawGQJSCPbGFTtGc3PVF+O8kVijSDHRDnC8cQw+M68Kp2vtPJsusHaem4uOC5NCo2+spnOOx046cirB4JdnFmski9YzrjSX5sWjtew9zkPnPSlXVEre0YkKsQS8jyvznCJuPtkyy6dL51mI5zrXi0t39en//d//ff7Mn/kzAPzn//yfefWrX82v/uqv8va3v523ve1tf6wDyjkzDAMPPvggly9f5pd+6ZfO/s05x6/8yq+cFVaf//mfjzHmjttcu3aN3//93z+7zWtf+1oWiwW/+Zu/eXab3/iN32CxWNxxm9///d/n2rVrZ7d517veRVVVfP7nf/7Zbf7n//yfd+An3vWud3HlypVPGEe+GHWbx7U7Lib0zgX2RoX4/XyvvueNZW9scD4VCOtTEBTzxvLqe+fcvz9i8IFF59ipDa99+QVefe+caW0Y2cJRGFWaqTVcmlZMKs3HjjYs2sDJ2nFrPXD9ZMPjRy03Vh2PH7fcWPa4mNC6FDmzpoyPcs48dtTygRsr3n9tye9fW3Br3eNCZFaVkWdIBXXR+Vg25oxkbCzTyjCpFTtjy3xkEZTNwkTpogmlOGojq9aTc+aRwzXvv77g5pZIf9Q5BhfoQ+B4E+hCKll8shRFUoDWMMTCTssU/haAkZqUBa3L+BhZdJ4bq54/vLHi+nGHj4laC/7w1pL/87ETri8HHj1Zc22ZaDsYhoLZKNFHsHFwuHFIURhkXYC1K4VS2I4ZJeWKqxEwsaXD1XvoBnA+USnBbmPZGzdUsgBUZ03F/kgyG2sqWzxTtQKtQMmM1hJrNONRKS6mtsJUhem1bB2nXc9JO3C03LAaIkcbz9Ha8eSi43DVIZFcmdfMK0NTFSaX2AJhZYbBR2a1ojaSSa2pjcJKiZWKiGDRRz7w5JLryx6HwPlIHyK11qyGSCKxGQK/++gpH75VYq0mjUbITG0KwqILgbULZWPUR1wsrLVuiJy0nscWHSebgVTiG87G7+ZpBZRRJT0hfhIEzZ8EIuLZfJq3ERnnOte5Pr26q86X9/6sm/Pud7+bN77xjQB8zud8zh0FzB+l7/zO7+Qv/sW/yH333cdqteJnfuZn+OVf/mXe+c53IoTg277t2/i+7/s+XvGKV/CKV7yC7/u+72M0Gp3FFs3nc77xG7+Rt771rezv77O3t8d3fMd38OpXv/ps+/FzP/dz+aqv+iq+6Zu+iR/7sR8DCmri9a9/PQ8//DAAX/mVX8krX/lK3vzmN/Mv/sW/4Pj4mO/4ju/gm77pm5jNZkDp9n33d383b3nLW/jO7/xOPvShD/F93/d9fNd3fdeLftMRypX3/rRmPrIMofhw7uYkcHt8sRkiiQwCrCqjyM4HKq042BrEN4MnZWiMorblrbYbE1d2G3LKiG00j1aS443jxrLfduEUN5ctjx61Jfg4leBjk4pBKUQY13DvzggjBNdOOvbGlkDptIkE3RDpXWQ1hOLJypI+JYzWfPalETEW43nZoBQoU7xdLoDSgspoUoykFHFRcGvVM6ltCavuYdU5cpZMKoOgdPcqJclk+gBRCCqVMWLbVdoa1LXIZASVzmRRopCslKVLhiSlSBQQcmLZBk42p9xaOk57R9sOOP/xztVthQSpLz/HarBal85igAioDCKVwqskM5aCMG/9Xmq7wWiNYHdsMUohpCiFiEtsXECKMtojaU47j5MCkTIuJE6WHU1tqLWgJ+O84mTtcCHTxczgoEvl+BIwqxPWWHzKdNsT/6zR+FyAr1KCJFJZxbjWpAxDTOyNK443AylBIjOqNBnYiZqTWLAglSlz1Ss7DZXV3Fr2DD6TSEidsVEzhEBD6fgYpWC7Ubpxwxmx3oeIS5E0CHLMGCHOOkXT2mwLlvwZEXFznoV4rnO9+HTXnK8f/dEf5au/+qv5pV/6Jf7ZP/tnADz55JPs7+8/58e5ceMGb37zm7l27Rrz+ZzXvOY1vPOd7zzbmPy7f/fv0nUd3/It38LJyQlf+IVfyLve9a4zxhfAD//wD6O15q/+1b9K13V82Zd9GW9729vOGF8AP/3TP823fuu3nm1FvvGNb+Tf/tt/e/bvSin+23/7b3zLt3wLf+7P/TmapuFNb3oTP/iDP3h2m/l8zi/90i/xN//m3+QLvuAL2N3d5du//dvv8HN9Jkhvxyd3q6eOL8ZWc7Tp+cCTS4QsHqGdxnLvdjtrPvrEccYzmYhDLFmSl+Y1PmSePN1wtPQICnXeasnxyrHsPC4Wz5aUsrC7hgAIJlbRKM19e2OO1h3vv7bCSIHPmcUmkHJk2liu7tQYLbixKoHXKZUw6NN2QCDpvUNIAzkhhGDdBzqXOdk4ru5lai1YdYHjNjCuymjJxxIdNKoMmYQLA9NK0oVE78voD0qxMwTwIWNGpSDLCIaUEbkUstXWmJ4TrJzj1qr4dKwohVT8JK9LBIwocFFrFDHGMk70Jf/S5FJ4ecqoMUaQqowkK1WM90YrKilxIZNzpB0irXMMofgCa6Np+zIWtjoz+DKG1NIQQuba6YYY4ZGjDUOKGMRZ5mZJyyyesSHA0XqgsQqZwajEybp08bptV/YkCXZHGh8T3boEk1+a1yBEiVvygpgE6y6gdVnUSGRICWMVq750EnPOXO8ic6sIqfjTUi64jxgzt9Y9VgpkLnBerRxCwKrz+JTBJE77QB8StZI8etwy3qJaNn3ARc+FSdmi9VuA8d74uXeSPx0G+PMsxHOd68Unke8C0f7Lv/zLfM3XfA3L5ZJv+IZv4D/8h/8AlE7W+9//fn7+53/+BT/Ql4qWyyXz+ZzFYnHWVftMUYiJx09ahChji9PW8cjhmtPW01jFwbRm8JFxpXn5xclz9pIMIfLYcYsPiQ/fXPHRo/W2IwV/8OSCwRf/1OAjlS6U9s4VWCgUg32jJdNK8cDBjI/eWnJjWUxJeVtcaQWzWnFxbPnDQ0dMkUhiXkmeXAzEmHEh0PlCJs8541MmJfCxjNj2xgZFZuMjrcuM6oLBEEDvEpO6jMNue8CGEPExkQDnKF1AWwodKaAy2yWIkLfdJ8FuUzOpS0eybNN5hEhoKbixHFi0meEZfocaGBmYNIbRNsjZpcDpugSmj2zpcq233TBJKbokW25XgkldYKkjU3I3T/uMArQViCjQWtK7AApsLlFHSkCjJT4ngi9duEwpNIUsP9Ntu15i+79GQ5YwtaXllknsjQxCaW4tBgSZcWWYNmb7+w/sTWouz2uGIXBzMxAi+BAZUuJgXLEztizbQMppm81ZSr3dRmOUYOkCRijmTcknTSLjfGJSa6aV2Y7jAyOrWA2Jo/XA5d2a+3fHSCXYG1kqXXJP798fM65Kd/Fw1WN1AdR2rmz6NpXGbr2Rn8zQ/uk2wJ9shrOLpqf7NM89X+c613PTC3n+vqvO15d8yZdweHjIcrm8w+j+zd/8zYxGoz/WAZ3rxaunji9CTJy0Dh8yOyNLyhQvjpYMW7jn003HAL0L+JQxUpyNIm9fmaMERsuSTYgkxcT9eyNuLDtubcoIEyEJMaC2hPNuKPE9alyzIvLI4YrHTgacC7A9ae6NDUYrHjvccLwZCLlsLWopiUmwP67IJI5WkfWQ2QwJBGe+rZSKNyqlxCYk+qFkMQoEnY+kXHL+Wp/wMuNDRAhJzmWMKWUZ87EtvoyW9D7Tu0zKhZmlFMyrzLgSyC2KI6aI0QIrLUmAUp70lN6XoHyAFdDUcHla0fqMS5EherbILRoLtVXFrB6hLU02ZN5ywyKMNVRKsuwCnS8tsZEBLVPxpKWMCAXuagEvMkqCERIXEymD0eW5+Ntz0adZiW4XYC4CAdY5Y03cjj4V9+6OsELhYkAbjUhwMFEcbhJtP3AIxJRYd56QoHWRypSFiY0rSxZ9SKg2M6oNF5oKH8tzvzTTxJBprGJaKT54uOZ47XnZ7ogH9i2XpjWPnnQ0VnNhZphtIbsuJnYqi9GSJ096DqaWUVV8UyOruThrzkLfQ8yMK/1Hbj7Cp98A/ye9bXmuc53rTt31qF8p9Ql8rc8E4/m57l5PHV8IAT6U0VwGlBRnPK+BWNAGT/GShJB47GTDEycdLmWsFAUiuTtG69IleOK0Q0vJ7sRS9YHVEJiPKlzKLNqIsoqLU82ik7S9JwSwsnSp1s7Rb8r4b+0iFTCvquKp0gVq6lIqW4mqFI9DTvgkaLSClAmhFEMxAxECpWCQlM6XjzC4jI+lc+VdoFGWSpYRoxLFL5QzuBBJUiJkKluF2xp0CIVZlYufnEZDUmUUlzJsQuZiLfAhkZJkXAtCSIiU6YZ4VnoV8EXBRGgJYyOprUGrsoW57krHSYktSiJEUoZZA1MEQyxzSBdLEVbZ8hpmSjFkpQSZGWIuBdX2OcdUullCg0zgSfhQIK2NhRzLY5XYH+jDtrvGxxEX/bbXHnz5e2tKN653gdnY4r1CKsHgA08sehatwypNHz2b3qGJGGOwRiJS5rQLaBGZN5oL44qNTxxMLbvbwkIJwbyu0FIgJRxvBoyUPHx5wquuzEsHVQguzyoO1650WVPk2ukARx2ffXFMziNWzvNQMz5j5YWUtqPkslk6rvRz2nx8ugH+j7r9C6E/6W3Lc53rXHfqroqvBx988FlN5h/5yEfu+oDO9eLVUzETZjsa2fQeqSRXdmqUFGdmfqvu9JI8drLhgzdWTBvDTmXoQ+CDN1YA3Lc3xiqJlnDSlsxIH0ompJaC41YQcxlTjY1l0/cMKaNlCUyujWTVOzqXuDCtuNBYbq471OBQUhNjYj0EpMgkDysX2PiIkqJkPwKLztPHzKQRxJjpXdlQhFJYGCmIlEJEUDpZ85FmXCuMhOwK/b2yCgScpEjMBeLabguQUQ0iJ/ot9mFUQd0YhsFjKMVecB4XNOsh0A6RC1OLD5F1HwnxTj5XVVBl9BEan5jVmtpojjYDVsNoG84dExghaEw5PiPAxowQGR9KZ2s9QCZQK1HM9j7Q9aXzJ7bblGHrGxOpAFbb/HEPmsogt6PVkQFrNT4FTPh4x0tR/jBsi69EGX3Om5rOJ548ablnd0TIidU6MgyedYhkMk0ltvBWRQzFozWtajaupAbEnLBasz+2jLyn1oZpbRES9mrD/qxGiOK/2x/XTKxlZ2S4tDMqSwMbx7wx6N5xuB4ICfbG5Xe/CYHHT1v2asOk0qScWXaeVV+6SD4kGiu5snNn1/+TGdr/JA3w51mILx6dA2//79ZdfQ6/7du+7Y7/9t7zO7/zO7zzne/k7/ydv/NCHNe5XqSaN5aUM08cdyw7z6J3SCmYNxopBb0rnq+nssP6/z97fx4kS3pW9+Ofd8ultt7uPptmJCEkhA0/VrGKsAGDFApDGIgQi4QxYCNZgCSz2AYH/jrYZIRBIMBhBzIOMCYchEGBAREWiMVmNchIaLU0o5m5a6+15fJuvz/erO6+29x7e+7M3KupE9HRXVVZWVnZVZknn+c857SOx3cqhqVhVKRqRKYzrA+89/E95o2n8SkG5/igYNQFMU8rR+Pg3lGBc55J7ZlYy6z1VLXFGEk/N6z2SqRQWF/RLw2FUpwf14wrz1pfpvaYSgLx3EiUFNiQzF8nlac0KRLIByhzjRORxrr9So2IUNlI65N+SqtU2bE+sDmu8QEKAxMXkxEqKYfSukS+ItAAvj6oABmgMBIJZEajZCDEtH4fIplWjOcNTavwIpGaQSkI88RcZKfTylWqQI1KRdW0bM2TskrJrsVnu0qeicgQsS5SuaQv8zEkMbxP6w8BZiG1Te0hbZjSaUfITruluteWHCwjSKSq6M4hrvVIIRkNwNrArOmIW0e8JFDotLJeJpm1lr3acyqm5IXVInK+iQTnKYqME8OSItNMW8d264geTueC2ktUN8OZ6fR/HRY5bZfoUGqVqm2t48Hjg5T0IGDSWKat48JegxSJ9IcYGOU5w8xQ24hSqT3dyyQ2wPFRWu98XLNXOwRJdB+InBtXjGvHg8cG+8HZ1xO0LwXwz24sDW+XgCOSr2//9m+/5v0//dM/zZ//+Z8/qQ1a4s6G7NqLWguef2LAvesl53cbLk5qWhe4d73HvavlZVoSGyJtiKzmSSAfYmRaW87v1Dy2V6GVQksouimyNaWQUlIaS6Fbpg2M6iQk2pq2zJoGH2CoFLlUTOqW4FM0jYqKQaZY7Wm2Zx7vk41BL1MQG/IsIzNJrzWuW/YaRxACLdMpvHKeUhl6mUv2EJ0+qnZJTK5E8ssKLczbgAhgDCBg3oIJDi0hE7BnDypVgoMK0KJatDsP9IrkbRd8xAXwzrHaD6wPMkLMEVHiQ2oZCqEY9CK2G0YwCnplyjn0KM7tNWRGkWca5wJtiElr1lXerIcgIgiBJtI4qNuOUJF8wSC1QBfTiRFQ7nJDQBcSmTSk6ppQ6fkxJmImIkgt6IuUILBiNNa2IBPBEyEdeCRpH27OWmaNSxOedUPPaNoQcTG54m9oSb8wKY4q12xNG7wT1C5CiDQhkkvBtPEY7RgUOSu5IssELkRKmejhpPZYnyqexwZZ+v8RqazH+YizKThdRIX1DRf3GspCIWVGL0sZoiul5uFLcyKRxgVCDGwMC0qtuDRteGx7zunVkn6urxsfdNS4oSU+PrA0vF0CnoTm61r4si/7Mr73e7+Xn//5n7+dq13iDsJCr7Jw9l4Bjg0KJlVJRPDgsf6+kH4BIwWZFNTOkemMaW3ZnLbs1Zb1wpAZwfm9mnuUZFAafIiMSp10YAI2Zw2lMdATZDKZVHofkEYyMIpLU0sQkGtNEBEXYZBnCCyN9UybZO/gfWSYw97MMW0D1oaUlYhIU3oCCJEgPS6AycAvKjai88MiEYiG9OVZBFJjYZgLap9IDfKAwMCBx9YCnuT7ZZpAlInwyJgiiFyA4CJKKKSESRuZO4/zgegjbQAjQRtJJLngSxFoXHKTNxqkEuhuvHBhKaGkQCmBkQrrPUaCyCMsnPI9ncdW2lZ/aNu1ShWyhQ7OALmBQgtEjOSZJtfJlb7IDP1CY23A+9QSVJ1IrVQgOjLnIgQHYxLRzTRsTlqKLO4buBopmLSWhy9NWOlnTFtL4zzDXHVGppFSSYwWWO/wXjNrHGdWe6wUGiKs9AwRkVrHnZ3FqdUehMj2vEU3ktMrJcNc4Ty8//we09ozLDWDQqMVtC69j9VexsbAMWscW7MGKQTjylHq5JGmlWBz0pDrJxa0X0sAv95P3ynnw5KAfZzimdD7LXFn4raSr//23/4b6+vrt3OVS1yBm9EJXDlReKPnXOvxw/cB+1qu9HcSl4eQxOxaSUa9fF+v0jh/2bqKTHPPWsn7zo2prWdaeRrnqK1jZVgwrVOo8Ydbx8lhTu0D07pgZ1bz8OaUponJkVxLrJEMCoP1gWGuyI1hZj2bY0uWSXzreGze0NiAc4Esk/QyjVeBynk2py2tCygViVJQaEMIkdg6ogMrI41LRp0xdIJwneJ5FhYPkkMVrZj0TrVPuq/WJVIxvmIfR1J1yB1ahwQqn0TqASgU9LMMYmRSWyZ1oMxSZUt13YiZTSSx9lDZQC8PiMzQOpsqTzq1ENs22UDY5AVKIVIINypN6uXaUBpwMTKt29SuywURQdUG6Kpfmm4yksv1ZlokXzGjZGqVKYlSkV5mOLVSkOlUiepnitp65m7KpEpEMNPJUX/hOZZriTagtGTWOpoAp0clTkaMctRNYNZ4dqqWTAgyoNAKuqqmc55xk5IFjBQURlDq1G4eLIT2Ik2ZVi4J+RUCoQUnRwX9TDPINS5Gqtry3nOR3AhGZSJtO7OW9X6G6L4X89axPW+RQtDPDJHI5tSy0jecWSuZ155jg+yaPncLHBbAWx+Y1pZZ49mr3LIN9XGMpeHtEgsc6f/8qZ/6qZcJ7mOMnD9/nkuXLvHWt771tm3cEge4GZ3AlROFWsIo1wy6aa4rn3OtdQ67asGkcbQ+MK8dk9riOj0SIe5PhOVGslIYzqyWZDKdOM/t1QCXvRbAINMMC81j2xUXpw3rhabQydm+HyIiCs7vVpzdnTMqMj62OeMjl6Zc3Ku6WJ409i+iYKNvKDKNkTn9Ip3AW+eoraQWkZ3aUbWOAAyMYmxsp8NKIvPgfWJWKIhJhF2FNDXoF75UIREMSbrv8ClwQUIWdHShf+ocKrj8sJoQDz1v8dzF803300tdWVoXaAIQI/M2xeVY67GdWWmIibgAyAYyYWk9zG3aDiPTe+iiJMl1cu13LpLFFGAuAszaVE2z/uD9tT4kI9juttu/P607I603GaIC0hNEwLaRTEmOjzLuWe/hQ2Raz5k2gb0uggqR1rN4Ld/tKykiujNFDjFN0dbWIpVIn93G4WIkNxojkl9biIK586yVGd5FjIRhaVgfZOSZpvGB2dQjSCe1GCMXxzVSSCa15Z41xz2jPoVJFw+19UQbmLaeQWGYN55L44YiSxXYXIlUJduuuDCuaVxASoEPySA4kFrpZ3dBRMGlaXLLvxGB0iptz/bcLttQzwIs9X5LLHAk8vX3//7fv+y2lJLjx4/z0pe+lE/8xE+8Hdu1xBW4GZ3AlROFlyY1H764wyecHPLQ8dFVz7nWOj9yaQoITowKnI88ulOxV7WcXikB+PClGfO6ZWNQ0Ms0O51ep58rhoVhtZdd5XMEsF1Z7t8YcGpU8PDWnL1Zw8wly4p0AoZxkypO1tZUPqKVZOoi88rS+OTe6QLszNvUntlIQdARGJWGaWvZmnqmVYM20LQwqz1KwSBLWqim9cysJ3jITEqKlkRy3dkoxJR5iADrEonBc6CUvwYOt+giB4TlSoTr3C8BqVNFSIvU9MuEQuYwnrvU8ovQWK4yWK0BWx9U1QTpfXhAhWQtMSoy5o2nDp6MVK2LQgKus7RIOqy9ecQ/wfYv3v6C0EGa2mxkRJLIzyjPUEKwW7fsVg3T2tL4tJzw6X10xTgE3cCAFNgQEIC10PqItQ1ap3ans8mr6/gghxipWocLic7WTWB37iiyFL4+7OeICLPK8ti44uK4SikCNpAbiRTJOPZ9ZwVzG3hgvU+RKVqX/vnj2qXWYj+J15wPyf+ssawJSZkpyjwJ6VwITOqW0mgyJdirLYVW3Lvewyh1UwRq2YZ6dmGp91tigSORr3/1r/7V7d6OJZ4AN3OAdj5cNlHoQvLgWuvl7M0cdt1TGL3/nNKoq9YZEbQuVYfSiShFraz1c6zvcgiVxAyylLWoBBFJ4zxCwP3r/au2b3vWpvggmYyt8kxzcpRzbrdm2jgGRnNxmk7SIsLxQU7tPYWQ7M1aFMngM8bkSB67qk+Mgcd2InMbONbPKDOT7BiCJQhJiBIfE43QSoCUDHLV5TwmAqGBGAWzxqdKUVcMU+ntk3VjfLVPrcSnCg2QuVS50tpSB8EgeLxQ5Jlke1ozbq9P3jwHOqz9alL3UzcQQ0umJQMjybVI4fVdNUgQKQ1UJP3VEyGSciWV79qOGTgHPQ2DwtDPNHvzpOU7v1czrWOatCQROkMyky07Ddq0Tk733iczWtflX3rAu6QNyzt/NSE9e5OG2nuyLGmjoo+4GAhEpFCsFgYlUitxt2qp66SlEjJNQs4bx6zxnBjlrJaGyczy0TDl3tUep1cLtuZt9znzzNq2c4MXPDZJ1dgTw5wyUwxyQ6YlMgrKLGWCPrYzo681966XrPUOql03IlDLNtSzD0vD2yXgSWi+vPf89//+33nf+96HEIIXvehFvOIVr7gsU3GJ24ObOUBfOVEYQ7Is6GeGSdtifaQwB8+x4ep1hgBSCCLpMdeN6+daUrWe2qYTthQqBWgPCuhy8NouwPCw3ktJwbm9mknlOjPKlNMohaB2LbPa0s8Ug0wTfEzh2tMGo5J1Rd1VHVrrkgdWTKL3QgpKY6hd4NxehRCRXKeYn16myDplvLXQdmam3gcmlcWHSNUmEjBvIg6XdFck0mJcqkI1PsXjLET2iuvnKi7wBMWxG6IF2iaZoQoFtQTnHYVKk5ZPBMUBMevcG/ZjfuYhDQ00TSDLIM8kuZKYInaVJktl04aLQ+uL3bquDPEO3Y/rSnwKyI3G+ch41jCzntpF5u3lE5OkxVE+GbRmSqFEmkZtSIL/K4uMHvZ3eu1gu2ppA6whWMlzdKaRIrVltZIEBP1CkxvFbMcxKDRKCarW44VgbrvQbgHjxjMq07CCi4HCqDRxGcEoxWqZEgvOj2tmteVFp1dYG+RIkVrzFyceFwMnewW59uxWhntXSzYGxf6+uhkCtWxDPfuwNLxdAo5Ivj784Q/z5V/+5Tz++OO84AUvIMbIBz/4Qe677z5+4zd+g+c+97m3ezuf1biZA/SVE4Wim26bNZZCpiv4w88x8up1SplsIIRImi3dtfQqmwTy49qxNW2RCkoj8SQNlhSpOnd2rybTstOOGarGMas9rU8hzT6k0OXWRs7uzSmNTN5SNnkm1Y3jfO3oZYJpbdmeOcatIyAQIRlm5UZRdJN1WBhmyUl01rTYGIlC0AbItaDIFNjU2vQhMm4s1iU/qtxDdcgkVHDQbqu7/t1Cn+RJJEzG61efFjE/18pdvBVUHrKYKkLWQ207XzFSi/FaMN1jFihl0k0d1pRFYE5nhSEdZ0YFDriwa6k9ZJlC4AkiVbIO5zBeCwvxve1ikZL3mWBc2aSZcwfLHSasgVRh0x6k8ORZaoHabn/n3fvUKrWMq25/56KzqOh+O2JK2OhlFFqTd4yq0ClgvWodiMiol6K9jUqt1SigsY7ap3Ziv5vKvDhpGOWGaeUY9gwrPcOs9eQ2YATUmeZkR7wgtbjnjWW3clSNIzeKMytl0qcdws0QqGUb6tmLpeHtsxtH+t+/7nWv47nPfS5//Md/vD/duLW1xdd93dfxute9jt/4jd+4rRv5bMfNHKC1ktyzVu67xhdaE2NkZ97wCSeHGJWmzhbPWQiJD6/T+Ui28CcQglGRcWnccnZ3TpklXdgmkcms5fEoaL0nk4rCSPq5IoSYxMcRHtueM2sd962V7Mxhe2aZVJbGJW1PbiRtCDy8OSXGVF5qfCCTiSg9tl2hhMB7jxKRyqdqjvOBqrW0FjKtQCrmLiZbhRjxPhB8IC8yqjagZcBoSYiB+TwRBkMXuwP7bbHD1Zmpg544cHRfGIIGe3UlCA6Iijnk3n5UONL7FOFAF6U68XwvJlf5K7EgZZo0NDB316/Sbdfw3nNTlEykZ1iAEAIvBdKlIY02HBjDXguHCWjtIU4dZZY0aaIjf4ttXzj3H37O1EFBIrM9DTJLLcbVXhLKixAIJmVEZgpymbzVhBCoGAkhJs2ekrTBU3vPWpGx0s+QItldDHLNrHK4CGtljg3pTVWtw8REFoelpraBWeP4yOaM2nmMFBwbFWwYRePSRG0kEdvapqru9rxht7L0c50mfUvNamnYnLVI62+ZQC3bUEss8ezDkcjXu971rsuIF8DGxgY//MM/zOd+7ufeto1b4gA3c4C+b60PwLndmt2qpZ8p/n/3rTEssms+51rrfOj4ACJMG49WgjOrObV1XXCy4N7VkkmtUw5h5eivaFyIrA9y+rlh2jicj2glUAj6uWbWejIpsT6SaUkMcO9qj+1pw6M7c3pGIST0jKJBkhkojaHMNCYT5LLmUrQ0NoBIU3WzxhND7CoLUJHuPzbIiEEQRZr+bPBoI6mtAOH2q1iLDMfrtQrbeFANy0gkwMeDqg4cPHehrxrkMKuP3no8jHjod4iJfCiu3/5U3fuq3dWC+cOE0QNjC/0UZ0llk1Gqcymz8kat1cMQJFLiA7i6q1KRiOpi8nKhR7vyvUWXzFkdyT8suWAIVBDMu8lKRap0eaCfpeflJv1fz42nVM6Sa8X6wPAp9650wnrP808OgcD/fXyPvUnN3Hr6RuGCT4TQpIES7yOXpg3HBjm5TtXgqfVMK0duJEIkK4tRkTEqNfM2cHFas1tZjvVz1gc5PkS2Z5Zjg6QJOwqBWrahllji2Ycjka88z5lMJlfdP51OybLl1dpTgZs5QGstefD4kNMr5U35fD3ROld66TnOlwyKDCXSyW9r1uB9ZGfWsFM5cq0YVy2bk5bjo4Iik13ryvA4FaErg0QBK70MLQ9CuHfnlkxC7TwRifOeTGtsDJxZLfjk0ys8utPj/O6cAGzu1ey1bYojcp4oBcYoNnoZs9ZSWUeZa/72PavMGs/Z3RlbU8PmtCF4l6wSxEG488LZ/UrCsfC2chyIzLfqq9twC4IUgH4OyKSXu92w3WscJlX60O0FKVsQxMMZkNdCJFUAHam6pKWjKwzdEvla2FEsKkOSVHlbOCscrpwthgAsqRomNYwKwVqvZFbXXJqGlBMqBM4lnV7kgHQ6kplrmclOi5gyKPNckUtNphQr/Yy1Xs6xQc5O1fDARp9+Ztie1UQheGBjAARGZZrKnVSOY/2MnpFIJVkfZMTdmspalDDpc2J9Z6xaMHTpc7fSMww6bWU3X8K09tyzVj4pArVsQy2xxLMHR/quv/zlL+dbvuVb+I//8T/ymZ/5mQD8yZ/8Cf/4H/9jXvGKV9zWDVzictzMAbrINMWh2zd6zrUeX9ynhCDXEtEJ8cdzy9ndOY/v1LgY2OlnBA/nJykbb31QECP7buwXxw27VcuFSc28cQxyw5nVAgEMCsleZRk3Ft0FYPdzT2UDo8KgjWS1Z9ieataHhuPDkmnb8qFzE9rWIZTmzLAgM5JZ62lsZF57cq3YGBYYLRi3Y2KYE6WEzrneH2Im1yIbjoMvxmXi7+tgMVUYdLwpYf6t4srqnCJ5ecmQiGEkZSrmJlWzmhuQLzggRp7UOlQi3XcU6rioUklSFavl6n1gOBDxFybpuwqjQYIyCqMDSqYLgrLo2uDOYyOUWpBJhdKSyga0SrqrnjEYIais52/OT3jOeh8jEynrZ5rnHBtQ6IpBobupx+QVtlpq1krDrHHMWs921bLRz1kpDWUmOTt25EYzLAyFltQusFe19PKUX1qaKxIcDgnrc62WBGqJJZa4IY50nPjJn/xJXvWqV/GSl7wEY9IVoHOOV7ziFfzET/zEbd3AJZ5ZHNabzRvLYzsVZ3drIJIplVpVLtA6z9+cm/LiM5JRz7A9a9irWkBQZJL1wtC2nnHVslZqciM5u10xbRNZihHmMTCfBQoFlyYNHzw7pl9oJo2ldakaNhj1mFeeWevRUqC0ZO4CRaZYI2dYaISQtM6zUhqE9wRUEugTqdtwFTEQpC/CopJjSBWN1l/f82qBgi4qh+RUf7vJ16J2okntz9BNMmrZbWM3JTgPKW/yKOyptgeRQhkHrcKFbuuJVqlIRAoOrCL65kB7tvAeCxy0Z2PsUgAqS20DwXtylWKopEq5nJkSWJc0iI0HFwKDMsPULRpBP1fkRqClJDeKSWM5N57TBM/GwHJyVDLK07RjiqtKzv73rpcEH9mZt+zMLL1McXpUkmeKS5OaWeO5f73kzGqvq9Am09vtWUtp1HIycYkllrgtOBL5Wl1d5dd+7df40Ic+xPvf/35ijLzoRS/iec973u3eviVuI24mmuhay66UyTfs/F5FCGl60Gid4lcCjJ0lN4pMwva87gKWBYVJ7aDjw4y673ngeI/dueWRS1N2KsfWrEUKiQ/JGn6UaxobiAJsa3l8Z47RinlrGXvLWk+Ra9idt+zOalZ6OTtVi7MRo0nB2lIymbfs1A3WRabWoQS0IY3xlSYRlgUWYnnPQXUGOh3STWARkbPQI0UgtgdE7slg8R+KdAMCpmt9ui6HUhwQGi0O2o03IoxXwnStwoKkdSMc2EzciMt5DtzvF9YSPnSDDV3AeOMv151J15nRhmSt0Ya070TUFDHSy3UahPCB1aGhbmGQa06Pcj5wacJk7siMTkkEPmCUpGodWxE2+jk2RBrrOddY5q3noWN9ekWypTiz2qNpPY/tzHneyT6tj5SZRkvJPDouTWseKvpsT1vGtaVqHZmWySct1wxzzeYsvZuFsH7WWNb7S7nFEksscfN4UhXy5z//+Tz/+c+/XduyxFOEm4kmutGyg9yw3s94zrEBPaO5NG+Ii0iiXDG1LrWKgmBct6z2MnLduaEbRWaSJ0HPKD62XbExENiQXPMf3ZkhhWRUGo4NMjanjkDg4qRmUGYMCs1kZvlfH9nqpiljF+3iaG2y06ARnBgI+rnkke0pH7o0hSAQwtP6QN2mk3wgVXdakjhcdiQmxPR3iGliMaOL6uGJidThiKDgU3ZhqZNJ6I1afzfCwiNrERnkY3oNo7ow73io5dcxtXCEsptR6f/UdKxNqW69Ie2LK1d5ZXVvYaC6qJ45n6wylEyGqvUVK6i7J0nAdJOcUkJhUsswuEimYWwdrcvY6GuMUgQEQ6OYRYf3ySPMGEVtA4VWPLDRY2OYUbeBSZMmFwWRIlfEKFjtZ2gpaWXARbh3WKZcxcZRW98FlMPO3FKaQNV4pJJMG88A2Jq1nBzl+8L6aWOpWr/vjF/b+TKTcYkllrgpHIl8ee9529vexv/8n/+TixcvEsLlp5l3vvOdt2Xjlrg9uFE00eEq16S211x2vWf2o1VOrJbMfCCXEqUEW7amaTzlsGClMDgfmTUpn29YpPF/IQTTxjKtLBLo5xlCNKz0M7amLXPnaG2gUQIlA1KoruoicJ3zZojgQ+DkasFqL2NcW1rn8SHgQoonarZmTGvHuHG41hNV0mMJkaoxC4KwsEDQnaB70QobZImUxe417aFInGtBkoTuGshMsjCobdz3wspg377hRhUpRWd/0a13MU1oOkd461OmYt1tjBHptaNPrvxCd9t9E1i0ExXJHsLaVLHSMvlsGZWyG3sxVdxalypYmoNsx8Ok1HOgOzNSYEMkRJjchPFZz0CmJdaladad4OgZKHNJJkWqeq2W1NZjuyBsoQSTymK0ZrVnWCtz7l3vIUXEChgVmtZ5pk2kcZF7VjNGpcGFQNN6tIBIZLWXyL1zkUvTGu8jW9O2a1UahplCWoHRitzIy4T1W9MG5yP9XF8VqbXMZFxiiSWeCEciX9/+7d/O2972Nl72spfx4he/+LKQ7SXuLDxRNNHu3OJ8SAHLIeJDZFJZVktz1bLzNrBSGnZmlkZ4jpWax8YNrktlfs6xPlorykx25qApf0+ISOsD1gca66lsGmW7OGloGs/Z3YppY1P0i3JMGkVpBJcmbefvFSBEYqfzmcwdk9qxWmSsljCZQy093nl25w1KJksBLSTCwMx65ocIiSIRj/2mq+haZxyQsDIDdKf5SnzgulhomIKAY/2MLFNsTi3gaF0ifYvl4PIpxSvhubzVKERnQrrIAY+XP1fEVBFTpks08F078iZ0X4tFZLeelG7QkSedYgEWbcxeV82btx0BUzDMYVwl01Q4yOeMAZoQsSEte/g9Hd5nix9B2ncCRexyF4WI1D5yvJdz32qBNgYf4IFjQz610GwMcz5wYcyHz08JIjIsMwTJaDdGyaBU3LPWo7IOKSW5EmRacn53zua0xfrAsNBsTxukEORasVc3nN+rWO/nFEbx8PaMnXmLkIKTwxylJEpIbDi4UKmsp5/rZSbjEkssccs4Evn65V/+ZX7lV36FL//yL7/d27PEbcYTRROdm86ZtYp+rrEucGFc8+hOxelRwX3AqDBIKfanuQZ5znPWe3zgwpg2JF+tXEIvNzy43ifrwhB3q5bQREalZpApHt2eMW8Daz2DEILaBR7bmjFrW8bzlknjqFpHrkUyKgWmjSOTgl7rmLWBaWNZ7SfH8mllCT6RuqrxFEYRfMQFQd16MgVCCwKCEA6qXAtt1kKbBAdu8HT3VzZVdoRIJqSdHO26cHTESELtI6Iz6lwpFfMmULt4WWzOgow8UUtysZ1tPBRmHa9ufwZgakG5pPkKAXo5aAvTG/Q8F8RnYSESRGdXIaFQktr6fbG8cx3BI71GS2opagNFRzAliZTFmDy+Dm/r4U1Rh+5b6MRaB1oERoVmpZfITOvg/o0+zz+9ilGCxgUeOtZjfVCQa8GkcfiQLB5m1jGpW3ZngnvWSlaLjNARpOcd7+ND5D2P7fLRSzOkhLVeRj9T6WJjbmmzFD11z2pvP0f0ntUejfcUWmOMREuJjwfC+mUm4xJLLPFkcKTjQ5ZlS3H9XYLrRRNV1lE3gbUyo3WBnbmll2tGpU6tx3Gqaaz2soNIIiXRWrI+KJKVQ9dq+djWnF6pOLPax/nAiWHO9qzh4l7D3AVODAtG3dj+X3xsCx9SFuVelSYdi0yRddEwtU2Vl42+ZHeebCgIaeJsa9qw1ssRSC6Oa2bWURjJiZU+RqWA78k8YonY2tL4yKIjvqh2LdzWr8dNGkA0qfolJYibmHj0pBVuT22n+UoWGaWJ7NUtmdRcGjssXSj4E6zrsHfY4eWupTuTpGqT6FqmClgfGCZzy7y69nvUpLieeTzQkjl/UL2rLLgYaOwBCax9qnrFQ2W51nUi/c4UTXCQCLB4nSeq8B1+D0KA8x6HYK9OhPiBjT6nRj2UksxaS64ls9rjQ8W0DahFhJUNPLgyIIbAw1szGuexIaRBkUFOP9N84PyYC+OGU6slg0LRusjZ3Yb7Nkr6hd4Xyw8Lw6S2bE3TZGNrPZM6vfZGX+F8ZH2YXO3xYTn5uMQSSxwZRyJfb3jDG/iJn/gJfuqnfmrZcrzDcb1oonnjyYwkkNqPuZHkWrFSGM7uVjgX2Jvbff3OiWHShl2aNORG7ptMAliXxPGlVvRygw8RIQTrA7PfflFSpEnGKFjrGS4YSYgRbSTr0dC4QJknO80A9DKd1oMkiJAMOi3UTcOgyKmtJQTQSIxSnBwazu3VtL7B+kiMyUB0UWlKaz7QVF0P++aqncO9lqBvQq8lSIJ1FYAY8NMWFyN9I6mtu+7k4JVVsAW/WWRJXivOaIGapFnbb2lKsD4yay9f52KiM5B0YoikETOyqwKGVLUKPhGtEFPMUIiJcMVO3xU7G4n9VqpkPyfUBk8mZCd+78hcTDoyIZKpLRzs+wVx1ILOeFdSaMPplYyVfskwk2nKda6YNA4lIxcnLaulosgMw0wztz4NH/hApiUrvYyTw5yNQcGxQUaRacbzlkuTin6hKHXSbPkQqa3n0c05q4UhWynIdfpejMr0uR5Xllnr8NYzyBXDwrDaS2L6hUaynyu2Z4kWP1Gk0K1MGS+xxBLPDtw0+frKr/zKy26/853v5Dd/8zf5pE/6pH2vrwV+9Vd/9fZs3RK3BVfGCCkhKIxgZ5b0U+PastYzVNIxrmzKhKxbJm3yyjo2SG2cR3bmPL5b0c80zsf9E5WSSf/y6G5F204BQWkkm/NmX2xftwHrPBemyWx1XLVU1uHrdCL0ITJvJEKBJPXANvoFSkUu7lUQUxtwawqTtkmEI4ILaV393FC3jhgOyi+yq8hkMlVlXLh+XuHhIOlAFz3UVYMWbcsngiMRizwmMXrrIkrCXERm9eWWFodxJUnyHGjPjOisH27wugty2QbYnTuqG7HL0L1GSJotCeThEBGM3eRjl39pu23QgBSCfqEILpW+jBJIqYgWciNS1JNPzMu71JqUElxz+T40gNGJ9BVGMiwNI5NyQmeNY3fqKbWicZ6NQYF1ER8cup9hpMCFyNa0wUhBJHm+bQwO0hoW7vTT1pEZhbeRrZmlXygyI4kRzk8qntP00kXHoQuUdMEgKIzi2MCwPihQIqUyHJ4ETsMWghAic391pNCtTBkvscQSzy7cNPlaWVm57PZXfMVX3PaNWeKpwZUxQuN5y/Y8sNrP2Jm2BB95ZHOGkDDIDfdv9EHAvPWMegopBRcn6UTXzxQ+BramBzWZS5OGjX5OoSUfraZsT1usg0d3p8QI962nE5wPkYu7FZuzBusCMgpq56lajwuBSkCuBCtlAUS0Fp2+RqK0QuEhpkm84DtBdxMJu3MGWWoZaS3pd27m08bTuC7ypquEPZEUKnBAwJzrpgBDMhHVN9F+XJiSStGRsQB1m6b+5BUlrsM3F+Jz1ZGtfQ3aTRqmLrRbKpn472upFo8tLCsAqkMauMOrX2iwSpN0XbXrJihjIl8HE5gpQElpxaxJQe2Z9tQttFaQ6ZhE9216njzkPbbYt4sJ0VxBmWuMlsgo2Gsco5BxYpTTWMfmJBH0ECKV9ZwY5RwbFdTWMa0989pjjMToVK0bGIXRAomgdcl+4tQoZ3dueWxrBqKraEZofSDrAunh2jmn965llxGlnVlz1SRwbT3rPc2ol11V2brRlPESV2NZJVzi2YKbJl8///M/f8sr/6M/+iM+/dM/nTxfHmjuBCy0KrM2idRHhSHXChsCj+7O6GnN/WsZhVFYHzk9MsybwKxp96clbVdxQES2Zy1t50a62ss4v1dTtYEQofaefqYZzz0Pb854/skh3sN2ZXEOpFK0oaHpsn6UFMgIIQoCgb4xNE3LuE1h3Ksy4udJtq6kxIdIbkIq5ERB7QNGS/p5al+NG08vk0gste8mAW9iHy0IVAPQ+YJ5/8Si+8OoIqzLdJL3IempPJdHGnWrBg6qVoJUBWrc1cvcCIHU2jOqE8KHg2rVtd7ztYT7dAVD0em5FoMJ1WHRP10rseslhgh9DVJrQnBkSqEV+Nph49VkNQI9kSpeAJ4Utq5FZOo9x/sZp1d6HBvm7M4atmYt49pTZi3rPUOMgsk8xfxkOrDaN2xOWoZF5MSwQGmJc4EXnOrtV6u0kowrx8Ob0/RZ95FJ7ait4xNODFjpZUkcr+QTZqdeOTXsfGc2LEUaJuk/8fKwnIZ8IiyrhEs82/CUDuR82Zd9GX/1V3/FQw899FS+zBK3gMNTWlIKVruw62QD4VFKIqVgozT08yS+jzFpsCBNQALszS07VYsRklOrSTOzM0++R7mWjGvHqDRkWnG2iySSIlAqyWiomVqPQKLwmFzhfWS1n1FmBiUiKz2Ns4BsQUjG84bSpKqb9xFBwGiBQiCVIDcKPEyadGJFRqZVIl5GHlSFCq6dYbi4XZCqVAuytO/afgv7uGoORP3XajVe9T8hETDrjhZPtJhCDJ3OqtcJ26pbcHltum2gq1RdSzBvARNT1I8nkcW1YQpYqpXgWD9j0limNUyv8yZChH4mmNuIIJJrzahn9gOsQwg4G9iatTiXtIlaCLwL5NqyM1fcs9pnpdQcHykyLTmzWlJkGiGgNJLVXk6uD0TwD6z3uTiuuTRrcCHSN4ZTq0OODwv0FeL46+WgLr43hZbszlsmdSIJgqT3OjG6XOe1nIa8NSyrhEs82/CUfv9jvMm+yRJPG66cfnQ+IIVgWBqGpeGetZJMp9H6het3hP3lF4TNSMGw1EhSkLcLgWlt2ZpZlITKemKQZEaiVWrZ5FpR+8i4tVifEgSlVGRG0BJRUpBrQWUj0yZSGsi1oO0qLRFJaz2tj0QPgYgSkaHRGAl7jU2eWDLio6fyHRmRKRPR2BtPGwZSCy/XHanxMLvFj/HC+2ph6PpEWLQEF22/BV96omnB661n0S4MNxDqXw+HK3TXOjAEkomr62wtsgwaF+llAS0VmzPPZN5iQzKXjVy9HTUwaSI+wKCIHB/lrJcZEoHQcH6vxvpIa0PaN50ZqpaCceMxLnC8b9mNkTJTvPieFU6tlhAFrU/+buaKilKRa1587yqP7cyRQuzHUNXWs97XN1WBWnxvtucN09qRG0VpFLPWMqss08ZSZvqq5Z8t05BPpl24rBIu8WzE8uLrWYbF9OP5vZq9qqVqPY0L7M4sg45xCAS19fuTW8BV05I2RE6Niv3HZo3Fx0jdOPJMsdEzbE5bLk5rGuupbSA3mlLDxXFDYwPOB2oXcFGiJGxNGya1o8w03nm8NwQPpdEIBLOmYdZ0uiqZNFxRpWnLaRBUbcA7qEVIJIzURps0aWrvZrIKW0CGrvr0BM72N4Obee6VuitBctjPMhjfAoNqSUTxVqt018P1iF8g+XjpzoZja9owNYphJqldYO5S6zTQVRzD1dvjFmJ+pQk+kmeK9b7hwxdmTBrPqK+ZWIePMDCaYZGRZwYpU6jlsVFJCJGNfsZqP9s3Pz1sBeF8oHHplZOg/kDTZUNARS4Tx98IWkn6meKjm1Nyo9BS4kJI29PPmDcB1wv7JOF6U8bXmoa8m3E72oXLKuESz0YsP9PPQqyUGbvzlnNbNVqmqa77N3o0zjOuLf0Yr5rcgsvFyIcfcyGwOW44PiywNtD4kDRlpWF33qT2klEQAlJKsixNq4XOziGGQIySSHI3HWSSQWawMTKPEqME08YzaxJVCRxE+ngB8ybgCdhOq7QYeFz4VAVSpeZ6xGtxyJekylgdu8k+jlZBWmRHHgWLSlhzhBXcaqD2tfBEBrCCg4EAG6Bu07bqxrPHgTDOd+u4Uue2j86M1XvHpLEYLSmNpp+l/1j0ChUFmYaVUpMJQdVahBTE6NmbW5QSrPjIY9tzSqPYGKTMxVIrzu7MOT+umNSOCKyVhnvXe6z1rq/puhkMCsOoTG77tfVoJdgYZPRznSZ2ryAJ1xLx3wrhOwqebsH67WgXPtuqhEssAUvy9axEiMmH64GNHplSSMl+m9H5wKmVglyryw7epUm6rCgkwzy1ARZmlqMy49go5/RqwX2rPR7fmbFbeYxWWBcojGB9UDCuWv768V28EyihGPVz7llL8TmbexXaKI4PC06vlkghGFctk3rO5iRiY8RIgcoXLSvFsFBszlpm84MTPhxUfxZkZEEorpe8I69YHm4PkTkqbiIO8SnDE1XrrqyqLfal636GAvIMbH399WhSW7fIBUYplBL0jSREeN7JIaWWRCFYmUimrWd71rI1bzneLxiVGm00u/OG9UFB7QIiRGobUAq0FDw8b3lkq6J2nuODnEGh2ZlbWj/leSfS1O9RD3pGyc7nK5IbeVl7/lok4cop46eSED0TgvXb1S58tlQJl1jiMJ5S8rU0YL0zcVDm16hDB+bFQU8fGsF3LvDI1pQPXpiyW7WAYKVQnFwpGJYZmZL0c4USMKkt23NL5QKN99RdywCh0BKcj2xOLa3vWkRGsdLT7M1atNEMCkOZ6SSwJjKuLXszizQCKRRlltzJkQGEpGkcVXMQ3QPXJk2HSdm1cC33+CeDK/VbzxYEcbCPFVe79EtgkEOmBcMiQ3Wsd3PWsobg/tWSPFc8sjlnr7JcmrWM500aAhGgVcHpXo9+bpAiUjtPaRSr/YztacuF3RYhIkLAsNDUNlBmkWFpaGwictcjBDeqGIUQmdSWWe24NE3DH+v9jCJTtC48IUm4noj/duKZEKzfznbhM1ElXGKJZxJLwf2zELdS5n90Z8ZfPbaH84GVMmOvannf+Ql7leVT7l9HaMH2zFI1lv+3Od8fwbc+eTNZ55iGyLndmkndQvAMMw0ixdjszVM44PGRoVQG5wOV9fgQuDSec3HSIuVCeB+pGkBA21iacDApeNgkFa5f5Xo68ExWzZ5JxC6EfFFJ3Pc96x5f/O2D2DeSdQGmc0+ZeR7bmWOkoI2gpUISCQjWc4NE0rhU4VrvZ+xWLf1cEEnmp5UNDHLNbtWQS5V0gyEyaz25UQhSPuSVhOBmK0YLcjMqDaabeHxsd87JQcF9G72bIglPVUvwmRKs38524dNZJVxiiTsBTyn5mkwmT+XqlzgiFmX+c3s1rQvkneP3lWX+unU8sj1HAOuDHCUE00awMShoXGS3sox6Bh0EO5WlMBKvBDtzRz8z5BpmTZp+tNEzrhxtAENgY5jhI1QukgnJaj9HicjmrGV7mmwIXBQYlXynWhGxndGpj9BcwawCl5uHLmn/0w8pE5mSMhUnFQd6ulQzTY8bFWlcQOuk/YsicGpQcG7SEJyjzBVCpoSDjV7BsGfIpUDIlJwway17tUOgyLRPgd5EBrlmr2pxIeJD3I+0si4QSRYoVxKCm6kYXUluerlmpTTMW5cmhbsA+uvhqW4JPlOC9aeiXfh0VAmXWOJOwJEuLS5cuMDXf/3Xc+bMGbTWKKUu+1nizkYIkRAi1gXO7VZ85NKUvVnLsUF22RW8DZHWhaS1koIQIy5AL5P7ouMQSNNmPjLINCdHJWs9w1pPM64c0zrwse2K8bwl07BeanSmqGzABRgWimMjw8lhgZQSIyUuRsa1I1OCQh+YlTp3bVIV6ETgLEnXM4l+IZHqIB9TAEpBkR+qTgYYdH5trQctBLnRFLlivWcYlBofAwLBA8d7PPf0AKUELsbO2d5xfq/u2roBrUQKNBcCG0LSI2rBtLLMaov1gWlrMUqw3s+e0AhVdcMnhVGMK4frJgYW5OawhYVWkn5ukg7uBhX+BcETQtDLNEKkxIi96qhjGZfjcAXqMJ4OwfpKmaWJ6Ajzzp132S5cYokb40gXGa9+9av52Mc+xvd93/dx+vTppbbrLsNe1bI5a1ntZ6z1MxrnsZ3f1+ErcSMFmZZMa5cqCUKgJczbgJJQmCTWb30g1xIhBEKk+89uTzm72yRRstJsTpMPWJkrSimwLrK5V2O0oO1l1C1Mm6S+2hgYNomEGEApQvTU1yFeh3GlpUGKw7k91gtLPDF6Kg1lECJORBzJasJoaP2B59kic7EJkWEGzzk55MxKiZGS9UGO84Zx5QjRU5rkFpYryW5jccFjGs+9qyWF0ckwNUt+Wzvzlg9fnHJ8kFMoyZ6zzKrIWk9zol9wz3p5FSE4XDE63BK8smK0IC+zxtHLk80E3By5eTpags+kYH3ZLlxiiaPhSOTrD//wD/mDP/gDPuVTPuU2b84STzWudTLIjaK2/qqTQZFpHljvsTVt2Z426QAbIlvTmjMrBaulwfmI85H713tsTltmjcP7wGO7NT4EylyhRUaIgkxImhAYFppLk5rWeZTU5IXsDCxb6tZhVJ8QAuPGQwhHbiMezmpc4qlDKWG1pxnkmjYERJepZBQMS01dO5xMWZlRpDzHVSmQSjK3MKst49qwV7XkJpmkqiC5sDdPVhZKcnK1oNBJhL3RL1jvG7RSzFrH7rylcZHnbJSUxtD6wIqUvPBkzpm1kkwrcq2uavEpIZDA5jS13xctwUxLhplBCfGkhPZw+1uC19ONPdOC9WW7cIklbg1H+r7cd999SzH9XYpbPRnct9YnhMiHLk7ZnVuEELzw9JBTozIJ321gvW9YK3NGheGx3Yp5O0dKGGQKZyNVaKkaT+Mde5XDe8e0cgxLQy9TTOtAOYLV0rDlA4/vzmlsYFy1WBufFIFafkqfWiwmGI1IJMV5qG1nPxGgapNZaiC1HkeZZlQaYoxYl6qwxMC4sczawIMbJaNRj0wJKuto2sjGoGC1b1jvZwwLQyTio+B4P2NYaCrreWC95KGTQ2Dh9O+oas/WLKnNrqWz0koiBJzbrRiWhkJraufYmjYMTyaz1kWY9lGF9rdLlH4j3diyArXEEncXjkS+/t2/+3d8z/d8Dz/3cz/Hc57znNu8SUs8FVhcMcfuwG19IEZB27mAx87wtG4d07olBoGQkcJoHjg24J61HpX1ndmlZG9eU7eBGocNntYGjg8LHlhP+XqP78wZzy1aS85uzjk3rtiZ1kkjEwx1ACMC8xZidBgpiBEGmaZynjp6ciUIPlkHLFnUnQcBFF2I+LjxlFqgtSQ3IFwiYFXbtRwDBA1KSjKtmVYt/VyTZRoloLaBjV7GidWCe0cFTYicMSW1jZxaLdBKcGJ4KFHBu86yJGB94ORqD0jES0pwLnJhWvOcvE8/19cV0kfg9EqJDRHrA7lWDFY0IKhbd1mVODOS0iga5zFK3lBoD7evJXizVhJ3YgXq6TZ+XWKJuwFH+p5+zdd8DfP5nOc+97n0ej2MMZc9vr29fVs2boknj2tdMXsfuDRt2J1bZq3D+oj3gUGumDSOs7s1VesoMs29awWfeGrEmbWSczsVH7ow5SOXplyaNoxyzbCXUWpFaWSqUAmYWcd7H93DhcggVzyyNeXhzTmTBnIDPkSc810EjaT1kQuTlOknY6TQERdBKk2WCequjbXEnQVBCtcOwKyBqomUmSeSsjGV7IxZA3gJMiaiVtUNNiSz3JOjjFwZfEzmvitlQZkZ1oxk3Fh8DEgBJ4YFvVwRQqqoVq2ndQEtU7xP4zzndj0+JJa+M2sYFGbfy+5aOisfU8rCsWFBJO4TN4Fg3jps6MK0zSJM2+2vXys448urBPxPtiV4rXXcrdmHz4Tx6xJL3C04cuVribsD17pi3py1XNirqF0k05IQIhcnDQ9vtulEGVMwdiBydiedMN/z2A57dUwB1rUjRvjo9oz11nO8n3Fuz7E9b7l3vYe1iTw9vlfROt+1M6HIQAtoXaD2kWgjtQ4YBQRJDAEvBLPOKCsDgvdY/8z6di1xbUgSoZKAFIkfSwk6ptSC2NlNSAGFgjJTRCGoHRiVbCZaG8l0ZKUwCARGChAw6mVIJTm9IikzTWM9u3NL4zwuRO5bK7h3rYdRkke34YMXJvutw0nTcmFcs9q7nJRcS0i/qAIXRu3Pfi8c643swrSnDdPGkxtJ0YVpV1U3QJLp29ISfKJ13K3Zh8+E8esSS9wtONJ39lWvetXt3o4lngJc64o5xmQ26SLct5FOXud3a6a1ZnNSI6WgnxkGRQq1tj7wyNacrVnLaqGxPtlPBCIxwu60pVSCj23PWSkz5pVnp2owSiCEIASwNp04jFZUztH4iLeR2kIhkqEmAnqZJjOSvapFRDBaMnFQ5hCaZ6956Z0KTxLVh5hIVwiJEERSeztEMLmgyAwqikQeZKR1kcpGhiqSG9GFqrdMtePYIFWDGpsqaA8e6zNvPf/v0hRBWsdqz3TastT+ixFOr5ZYF2m9p9SakytFsifxB2HXV+qsbtQSLDJNP1d8ZHNGYeShMG1YH2TM29T2nNT2SbcEn4ioDAtz12Uf3q3VuiWWeLrwpC+YqqrC2ssDWkaj0ZNd7RK3Ade6YvYxEmMiTplUKCGIJFNTHyGEgA0BozVzZ3ExdpqddGLbnFkKnUKwhYRxZVktNTZEMiPZrVpqH9GIfZ+kKCJzG1Dek0lFY31qUcougif6zkhVUITUZrIOatvSOMjVsy+q505FTjJMjUAuYG6hDYkYa2BuA1kXnK0lKCRGglbJhytTkhPDjL3acqyXUduIdY5Z69BK8PjOHOsi1kc++Z4RK0XG+b0JWgiCEMQYybUiU5Jx5VLlFjg2KIgx7leWhoXmsd0589bRz811dVY3agkOcrM/1VvZ9PjGIKefaWrnaZx/0iTjZojK3ZZ9eLdW65ZY4unCkT7/s9mM7/7u7+ZXfuVX2Nrauupx75cCnTsB15q0UkLs+3F5QhfjklqBjfPEzkh10lishUGZHL0r67AuVaeCC3gC8yb5fbUhIkWaHNNa4lsHSuBDxIeAAuYu6X4wyfRJxGS4GQK4IPY9IbwPzGzSCwkL3kHtDsjXsv34zCMH6P5lzSHiVZrUYgwhWUr4CE3w9GLKCp07j28cmZSUWnFqraDIDJPKoqShdoHWBwqtgDQBcmFc8cGL42QBoRRzYNJ5feXdif1w63BxQCsyxclBgRTiCXVWN2oJGiVZ72eEENGdQ75WB2HawJMmGTdDVJ5pK4lbxe2MHlpiiY9HHIl8fdd3fRe/+7u/y1vf+la+4Ru+gZ/+6Z/m8ccf5+d+7uf44R/+4du9jUscEddqq7gQKY1irTTMasc0OsaN4+y4YlI1ICTSeuaNo3VwiozToxxixiNbNUoGpnVA4JlVLXmmmFSOtVywtVchhExO5NYzqz0xeoxWaOeS4amDwkgyo+jnntoGHAJiQJJc6r0DZSDIVD2ZHSp7LYnXMwsHDDV4AY09OIAYAWWuUCISQ6qKWR/IgHkbEVj6uaG1np3KslZqgoNWeqaNQyMQJOuSUZk8w/7qY7vMG8tObRnmGRsDSa4V89bx6G7F808MyLW6ZlWodYH7NnpXkSrnU9zQlSTrei3Bw98hFUFIQW39ftUp1+pJk4ybISp3m5XEM2n8usQSdwOORL7e/va38wu/8Au89KUv5R/+w3/I53/+5/O85z2PBx54gF/8xV/ka7/2a2/3di5xRFzrivmhY30CPd5/bswjWxXzpqVnJBv9nM1ZC1EwLDJa65AI+pnizFpJaTTnxzUutNRt4NggY1DmlJkk0xI7aagqy15l8QiGPUWuNK3zWAcIgZKS1cJwcrVk3Dh2pzVz62hc0g7FLo3ZWTAZqUoWlqTrToEHJg4ymSpfwwKikGQaVnsZk9phQ0hRQkKw0tfs1Z69JlDbSJ4pjIiEGHl8ryLEVHXt55pRYZjUnr9+fJci08waS4hw71qPKCLb05aNfoaSku1pQ3Fm1J3kr18VklKgSYL2nVlzpMm7G63/yZKMWyEqd6KVxPVwt1Xrllji6cSRvsfb29s8+OCDQNJ3LawlPu/zPo9/8k/+ye3buiWeNK53xex84NSopHGBs7uB1V5Br8g4vdpHIXjOiRIpJOfHNUpJ1vs5wzxjZTBjZDLm3RRj6yKKpOu6b23AI1sTsrGC7mo91wprLQNjqJyl8ZIoYNpaxrMW3xG9nosIKdEicH7aYm0aPtPAUEHlU1Vs2XZ85hGgi5dKlaAiUxzv55xZ6/GhixOmWIwQtE1ga+bS5GMErR2l1iAUMUS2Z47SCPJMJ+F66zgxyGlsoGobMiPxPoVkD3ONjYKdyjEsJaMymbXCzUXcPJnJuxut/3aQjCe7jjvRS+tuq9YtscTTiSORr4ceeoiHH36YBx54gBe96EX8yq/8Cp/5mZ/J29/+dlZXV2/zJi5xO3DlFbOPkd15y+68ZbWXESLMpy0GQEGMimFPszNvOLfXEpH0MsmJfk5mFO0ksJIbamWpbWS38kmnJQTPOzGito6ducURUFrjaJFKM9AivVYdmTTJY2xQCHJt8CGwPbM4lyosSqTW40JCqFlOPD4TWIRiRzo7CaCXCbRW+AgiRqQUWJcqXjEEnFQokciZiGnideah5wKrhaZXaMaNo1SSYU8zrjxukREqJSEEVsqMqg0pWD3CRi9j1loKrbhnpUeZXX74ul5V6IkE7duzlkynduaNiMH11n87SMZR13E3eGndTdW6JZZ4unCk78Q3fuM38u53v5sv/MIv5Hu/93t52ctexlve8hacc7z5zW++3du4xFOAGCKT1uNjOqm2zrM1rqhcoDRJt5XuD9Sth+Dp5Zog0klQCAgxYrRhbaDoZY5x3VC1nlntUMmtksnMgSCtN9Oc6OdImaoeNuTsTGuaLlQ7hkAIycBy8cF0XZlroQdb4umFBPLORmKx/4cZbAwKfIhoBauFQUjZOcRLQhTgA6NCM2uBaIkRgofWR4pcstrPODbIGTeO1TIjl57KOdoQ6WkYGEWRKUalRgtJZT3TtkVJwVrPcM96edME51qC9hAj88ZxYVLT+kBp1JMmLbeDZNzqOpZeWksscXfiSMeK7/zO79z/+4u+6It4//vfz5//+Z/z3Oc+l7/9t//2bdu4JZ46CCkY5opHtxzjyiKFIM8k08azbVtalyYZh7lhUGguzVrcbsVKP2NaOVYLjRfpREyuyY1gd6tl1lgmVdLwrJSKSPJwIkZGuSQ3ktr7LjLIY4ymbySNT3YT1sbk3CkkWoDwYb/aJT1Uz9wue1ZAkypdTXd74VAPByEDawPFmdUSFyLDwjDMM3IdOTYo2ast7z+7w6O7NXPrsZ1ViZLJ9T43Ch8FUgg2BjkhREa5pp8piBkeGOSKUyslMUZGpaFnNLt1S2k0Z1ZLHjzWv6WW3rUE7ePKcmFck2lJP9NEuOtIy9JLa4kl7l7clmrw/fffz/333387VrXE0wQlBKu9jH6uqaYNsyaw1svpGc35vQYhIkoq5l2OnXMBpEAgkUIipUAJyV5t2WssMURqF+iXmhg9o1LTOodzkYE29ErB+qAgBrCNZdq0TG2kMIpBYaB1+OgJOBSKUktmzlOYNPI4bRyVT6737TO98z6OUShwyQ0EQ9J3RQ6qXpp054VxTWk0K6VGysDW1LE+LDg2yDg2ytmuHJUNROcpckO/82obGs2oUGiRrEjuW+9RZIrNaYPRio3CsNLXnBmW1D4gJSDhuccH3LPaY62XKlM2BFS8udbclYJ2IWCz+3tjkJObg4rY3URall5aSyxx9+Kmv5s/+ZM/ybd8y7dQFAU/+ZM/+YTLvu51r3vSG7bEU49CK0qjWe8F9uYV1oNEcHxoaDz0jGTWeGrvCUIwLCT9QnF8WBBCZNpaNgYZa72MRy7OEEKwVmTcv5aRa8nHNudMjYfO/2lzXBNixPuIdR5nPZZI7dL4ftM6fAh4FRloibAB6yOZEcSQdEeZAhmgXqrunxJYn0iSIQnqcy1QUjBpAs7DoACipGo9vTyZ9GZKMSzT4EXrA9YJBAElwOSJoEVACsnqwHByWHJ6tWBjULLWMwQEn/4cjZaSaevYmTU0IXBiJWdUGIaFZr2Xpv6Oqm86LGifNimj8cSoYFQc5NLebaRl6aW1xBJ3L276GPPjP/7jfO3Xfi1FUfDjP/7j111OCLEkX3cwDgt0K5smFie1Z6VnyLWk0IqPbk4xSjDINVtTi4uB1jouNFAoTaYEFkGhU3JyiBFtJFLApA6s9VJg9qDUTNtU8nAheS81NmK9x/ukFyLCzqylth4hBEYm8fG4tjQuogQQIrlOba+Ybj6luFsnKp/sdgu6yCABowLKwlBmkmkbyHygMILjowwVJBhBjILtuSPPNJlM1UmlFPetl4ToMbKmcYFBmbNSSM6sloQoWO/nPPfEiE86PWLaeoyWDPJEglwIjKuC4OG+9ZJerverUDuzhouTBq0EWkp8PNrEYuM8mRYYpS4jbdcjLXfiJCEsvbSWWOJuxk2Tr49+9KPX/HuJuwuHBbr9TDMsDVXrWOtlCJlc6jOtaFvPuLJkKlJVHhfTyH8kMreeuk1KrExFPrY1Z1w1CCGoreOvz445Nsip2jQJOSwVp/pl0g5FeGRzSq4lVevYqx3WOYKHPAOHpEek9sklPdcSH7spO5EE+E911NDdSLzgyW23AYw80HjNbApCrxvHtPY4Dz0jsE1kEiy6gSaLFEZivWdvFqh94NigZLWXgRxxYqWHD4FMaWz0aJn+520IaCGQUiJloDTpMBRiZFo7xlUXN2QEJ2KyWwgxsjNvaaxnUqfPopKCTAl25/amW4VaJbf9jX64IWm5GyYJl15aSyxxd+JuqK4vcZtwpUC3cZ5RaTAytVsyLWlc4PgwZ2/eMmsdvcIAgsp6NgYZx/sFs9rS+MD96z0GWYaUDdPGg7dsDDP2KsvmOJmnSqXItaTMFLszhxCRLFMMexnzpqaynj2fomiijRQq0utnRBvRLk1Yzq1D+BRJFP21SUYhoX6WBkAuKl6a1JYNPunibmV3WCAG6Jmk9/IOxrVN1TAPUoF1gd3QIqSkAUxsaVvNeOZwEUofqVuL855+rlkrC2xIVhSP73kq71nvFTyw0SMAH9uaUWaKXCuUVIwrm4YzRGSQaYwQ+wSpl2t25i3zNtDL0ufXhZDIewicWStv6WB2M6TlbpgkXHppLbHE3YmbPl69/vWvv+mV3qzdxA/90A/xq7/6q7z//e+nLEs+53M+hx/5kR/hBS94wf4yMUZ+4Ad+gH//7/89Ozs7fNZnfRY//dM/zSd90iftL9M0DW984xv5L//lv1BVFX/n7/wd3vrWt3LvvffuL7Ozs8PrXvc6fv3Xfx2AV7ziFbzlLW+5zJfsYx/7GK95zWt45zvfSVmWvPKVr+Tf/tt/S5YdHJD/+q//mte+9rX86Z/+Kevr63zrt34r3/d934d4hvUVN9MauVKgm/Q6El1KykxzclSgNXzkwoSPBM/GIE/O9T4wrjyrvaQRuzRteMFaD60lZ3crtuctwQcmtefkMMdoiUByQucIIdBa0rrIaqlpfWRYBLwPVBb6Rda1NT3zJtJG2J60GCNTZUQIJMn3qfUHXlNXwj4LidfC92xBRo1MzvNznyYWb3WXOKC1ILrA88ammCffKe6lgSBAxYBSGkFEKkAKmsbho8YRCc5z31qPEys553cbNqcNK7lmpZ+xXmaUmaFxgRAtRgtmjcOFwO7cdgwbVvqGfmGorWdcOYwUVI1HqWTcC2myr3Gepg3EW+xF34i03G2ThM+0l9ad2ppdYok7FTf9ff3Lv/zLy27/xV/8Bd77faL0wQ9+EKUUn/Zpn3bTL/6ud72L17zmNXzGZ3wGzjn+xb/4F3zJl3wJf/M3f0O/3wfgR3/0R3nzm9/M2972Nj7hEz6Bf/Nv/g1f/MVfzAc+8AGGwyEA3/Ed38Hb3/52fvmXf5mNjQ3e8IY38PKXv5y/+Iu/QKl0wHzlK1/JY489xm/91m8B8C3f8i18/dd/PW9/+9uBFAb+spe9jOPHj/OHf/iHbG1t8apXvYoYI295y1sAGI/HfPEXfzFf9EVfxJ/92Z/xwQ9+kFe/+tX0+33e8IY33PT7vp24ldbIlQJdrSTDwnButyLTEqPTYy7CiX7Ow9sVs8ahlCR4x84sia/n1rNSagaFZq9qqZpUoXIxMig0fh4YZoLWw6xyBJEcyo/1M7SCpnVsTht2qxYlkvZm3gRCiAQHkwilDUgVGFcOZ6HmidtqgVSxkTx7jFgX71OQ3rcSUNmjTYMu5NqBFOe0+OTYpruPJMbPBWitKI0i14IQJUJGVkpD32iGmcEH0gCFizx0vM89awV7lUVKxSDXaClofGB33jIqNPeuZfutxkGmGZSaQqfK1kIEH4VIVdDG0bjUwnQhEHykl2vEbfbmWk4S3hzuhtbsEkvciRAxxluWirz5zW/m937v9/hP/+k/sba2BqTK0jd+4zfy+Z//+UcmIpcuXeLEiRO8613v4gu+4AuIMXLmzBm+4zu+g+/+7u8GUpXr5MmT/MiP/Ajf+q3fyt7eHsePH+c//+f/zNd8zdcAcPbsWe677z7+x//4H3zpl34p73vf+3jRi17EH//xH/NZn/VZAPzxH/8xL3nJS3j/+9/PC17wAn7zN3+Tl7/85Tz66KOcOXMGgF/+5V/m1a9+NRcvXmQ0GvEzP/MzfO/3fi8XLlwgz1Pb4Yd/+Id5y1vewmOPPXZT1a/xeMzKygp7e3uMRqMj7afDWIiQC6Ou0q5cqzVy5fKN9WxOG3Il6RWaGODx3TnzxnFp2tJYx6R2PLI5x0XPQ12YsfWBvlYcW8nZnloiULeeGAOP7FQ464kkf6fx3BNVaj+VRiGAxqb1784tjUtBxd6lE3xFOtkbbp5IlKSKDRHmd6to60mioDPM7X4XHJDRa+3Hw7YdulsWEtkqVNqfrU2eX4ZUVetlqQW40sswSjLIFQ8cH7JS5BwfZUgheXxnjlbw3GMDjJGMK8v21LIxzDk5KpBC0PrAtErTsp/54AYAH92eUTeOxkecj2glyJWgzDX3rpRcnDRMW4d1ERuSON5owTAz3LfRu60VF+cDj+3MEULsV74gkUoi3LN28yavH8+41ePPEkvczbid5+8jHT1+7Md+jB/6oR/aJ14Aa2tr/Jt/82/4sR/7sSNvzN7eHgDr6+tAEvafP3+eL/mSL9lfJs9zvvALv5D/9b/+F5AqcNbay5Y5c+YML37xi/eX+d//+3+zsrKyT7wAPvuzP5uVlZXLlnnxi1+8T7wAvvRLv5SmafiLv/iL/WW+8Au/cJ94LZY5e/YsDz/88DXfU9M0jMfjy35uF65sjSgp9v8eVw7nr248rZQZJ4Z5IimtQwrB804M+MTTI+5b73F6JQcBtQucWik4PiqYWY+QkTLTrBSG+9b7lEazNW9RCI4PMqyPxBjZrSyzusXGgDGSeePQOnJylNPLNEoKhIgIIWiso3GOSKBnJCs9hdaJFBhuvoKlgDJLhO3ZbEFhSdUvTdp/UXRarussf7hyVnS/BWnaMVWvDsxWLdAEkhFuiEiZhiHKwqClZGOYcXq1R+0cs8ZSNYEPXJjygXMTHt6c8ej2jEe2ZmyNk85vWtt9j7eUD6nJpOAjmzPObldsTxo+dGHCn3x0m7M7czZnLUKkKdq1nuHkqGCtZ9BSUOa3nwQtJglr210YhLj/96jUS+LF0Y4/SyyxRMKRjiDj8ZgLFy5cdf/FixeZTCZH2pAYI69//ev5vM/7PF784hcDcP78eQBOnjx52bInT57cf+z8+fNkWXYZEbzWMidOnLjqNU+cOHHZMle+ztraGlmWPeEyi9uLZa7ED/3QD7GysrL/c999991gT9w8Fq0Rc8WJwCiJDUmDcSUWWpd71kruW+9xz1rJWpfXmGuFMYrSpCvYeWNpXYAQGfYMJ0YFhdEURrHeMwRga+ZY6ed88pkRZ9YKVgqDkoKq9Uwry05t2as8rXWs9DSDTFHbyPlJw6RxTOrArI40LlB5jwcyk4wwb7ZpIUnBzTwNk5B3Mjyp6mdJP+7Q39fCYl9FAAlGpR8hDp57GJI0kdq6wKz2HO8bRrlhpTC0zvO+x3c5uz1npTR4Is4FooB+pskzRdM6zo5r5o1jpZdxZrVgrcxQQqRg7cqRKZVSEJynaj25VviQPuu1CxRGorooo0njsC4wrh2P7czZmTWE2+hDcuWFivOB1dKQK0nj/LOeXBzl+LPEEkskHEm28BVf8RV84zd+Iz/2Yz/GZ3/2ZwOpjffP/tk/4yu/8iuPtCGvfe1r+b//9//yh3/4h1c9dmU7L8Z4wxbflctca/nbscyia3u97fne7/3ey4YVxuPxbSNgT8Zk8XpaFyUEA6PZmtQ8vlthA2xNG3qZZCVPHkk7szZNN8ZAY1usL9FGoWWaalwvM+q2prYB5yKRwKNbDauFo2otYx+wwZEZiRaeuYO5OwhwVip5eV1LWH8tWGBqb56sPVtws/sPUlXLiJSr2XZPXExRLipiRQb9PCMSyXPNidVE3CeNZ2e3YXfuKI3AaEHdWnp5Rt0GWiEYZJpcK9bKjE84MaSXK2yIrPaTcH3WWPZqy8mVAiXg/F7NsGeQCCaNxflIplO6wslRnjRGPtLP9X6763ZPIi4uVPqZZnveMK4cj+9WzBtHmSvWeslg+Fb0TR9PwvSlyesSSxwdRyJfP/uzP8sb3/hGvu7rvg5r0/Wx1ppv+qZv4k1vetMtr++f/tN/yq//+q/z+7//+5dNKJ46dQpIVaXTp0/v33/x4sX9itOpU6do25adnZ3Lql8XL17kcz7nc/aXuVal7tKlS5et50/+5E8ue3xnZwdr7WXLXFnhunjxInB1dW6BPM8va1PeTjwVJotaSbZmDRenNYXRnCg1SkY+cnGGc4EX3rOKlJKdWUMv16wNCoiRqvWc36u7E5NhWHp25o7aBYiBVkpCDDjvcAEaGxFRUhaCehr3rREi0NwKa+iwDN0+OgSpBSkjRJf+1lc83lOppekClEYyyBRVGzg+UBwfaLzPkFRsThou7NU0PjAsuxadFKyWBq0EUgmiiCgpWevry6wdFnUSIQRCCnKl2Jk1bM8t5/dqCqPQCtb7hsomO4unYxJx1jr2qiT0nzcOqQTzNmCkw/q01TcifB+PwvSlyesSSxwdR/p29Ho93vrWt7K1tcVf/uVf8n/+z/9he3ubt771rftTijeDGCOvfe1r+dVf/VXe+c538uCDD172+IMPPsipU6f4nd/5nf372rblXe961z6x+rRP+zSMMZctc+7cOd7znvfsL/OSl7yEvb09/vRP/3R/mT/5kz9hb2/vsmXe8573cO7cuf1l3vGOd5Dn+f4E50te8hJ+//d/n7ZtL1vmzJkzPOc5z7np9307cWVrhMiTMlmcVi3nxzUPHR9w73oPIeDYoOC5J3rdxFvAOs9GL+OT713l1LBg2rpOXJ/aRT5GMiNpnaW2ns2pZV47KuupnMcGj/WRufM0Nu6XrJZNimcGXcd2n/waDiZH6X6HkIYhnPdIlao2u3NH6z1nVns858SQY4OkHBs3jtZF5rXl3E7N5riB5CDB844NeOj4YL/dvSAeqSpmmDcO6wMSuDipuTBuGOWqs4RIrclxR2CejnbXQtdkpKB1gTLXjIos+X6FNBRwM/qmhWeYEIJephGdh9ledXcnld7u488SSzxb8KSmpc+dO8e5c+f4gi/4AsqyvKl24GG85jWv4Zd+6Zf4tV/7NYbD4X5VaWVlhbIsEULwHd/xHfzgD/4gz3/+83n+85/PD/7gD9Lr9XjlK1+5v+w3fdM38YY3vIGNjQ3W19d54xvfyCd/8ifzd//u3wXghS98IX/v7/09vvmbv5mf+7mfA5LVxMtf/vJ9q4wv+ZIv4UUvehFf//Vfz5ve9Ca2t7d54xvfyDd/8zfvTzW88pWv5Ad+4Ad49atfzT//5/+cD33oQ/zgD/4g3//93/+M+XzdbpPFxkfaACeGvTTSLwQeWC0zHjcVn/3gBmv9jN3K4nzg8d2KWe3x/eR+L0WqPlwa1/gAG/0MLQVKQt14bAz0C0UmO82I59kt1HqKcbORQ5IDfdiigaQP/d1GGCoY9AylEUlkJwST1nNp2qCAnXnDzFmIEa1TWkIIAethXDuOj3JOrRbkWl31GdVKcu96j9ZPsT4SYuTipKbQkuOjgtixt/VBlqqp8LS0uxa6JtWRL6Mlzge0lNTWo8QB4bvewfRu8wy7FSxNXpdY4mg4Evna2triq7/6q/nd3/1dhBB86EMf4qGHHuIf/aN/xOrq6k1PPP7Mz/wMAC996Usvu//nf/7nefWrXw3Ad33Xd1FVFd/2bd+2b7L6jne8Y9/jC1LupNaar/7qr943WX3b29627/EF8Iu/+Iu87nWv25+KfMUrXsFP/dRP7T+ulOI3fuM3+LZv+zY+93M/9zKT1QVWVlb4nd/5HV7zmtfw6Z/+6aytrfH617/+lgxonwosdCQxRLwE1zqEFPsnoVljCRGMFBij9gXONkRMN2m2QK4ERsD5vRlSKopMIQSc226oWkdjHVrl7MxrPrY1T+apvZxcKaQQ9ApDjJEPnG8JkX0hf240p4aCSdWyWVn25pbGJlf6ZcXrqcPN7tsrl1t0fhe82AD9XHJmVLLWzyi1RAgFHvbmDePKU9tA3xjkQBIDlJkkVwohU0bnSmmYW89jO/NrttzWejnPOyHYmrQ4H+gbTWYEO1WLQHBqtWCYG2rnGeaa3So1m59Mu+tGGiwlBBLYnTdsTRsCUBpFpiT9XOPjjQnf9TzDBDCznW/ZXU5YnmmT1yWWuNtwJJ+vb/iGb+DixYv8h//wH3jhC1/Iu9/9bh566CHe8Y538J3f+Z28973vfSq29eMCt9MnZKEj2Zm17FaWaZ1IlhRQ5goR4eK4ZncRoaIEZ1ZLtBTUNrUGcyXT5ONaHykFe1XLH37wIv/rI5uMipx+Ljm/W/HYTkWmuoOskFTWcW7a0tOSB4+VnFrtY11gUlu2Jg2P7tY01iMUaAExCrSEqrZc3HNMlozrjsXhluMiUWCk4fhKxr1rJceHJRv9nMo7hANtNIWRzBrHpLW0rWduI1FESq2RIrLWz/jyF5/m/mPDG3pBXZpUnN2p2KsdmRREAc5HNvoZRqfUg/vWeszalAO58PwalfqmNVS3osH66KUJH7wwAdIUbyRSt577NtK+uJGn1ZWeYSFExrVlc9rgfOCetR4b/VsT7i+xxBJPP27n+ftIFyvveMc7+O3f/u3LxPEAz3/+83nkkUee1AYtcfNY6EgWQuDKBranDeuDjFnjeXxnzl5tWSkNEcGs9fyfh7fJMs2ZlZJTWUEU8N6zY1wIHBsUXJw0PGdjwOak4eGtGR86P6P1gVMrPXIFf/34HtbBqNQoEagcfPjiHCk0pZFsz1r2assgFwQPlfXkmcYYxWzecmnmsPEgGmeJOw+LaCJ/6LYiWVDUjWdmLI0NCCFY6WukCAzLDCVTZbN2nUUEqe04bh0bfcOgTDYkT9Rycz4wazyr/Zwi02xNm5Q92ljed2FMP9OcHhXMWsdKmR253XWzuY3OByJweqWk8aGr2HqynoQoWO+ZG+qbrhSmzxrHxXENwMlRgVHyjsuMXGKJJZ5aHIl8zWYzer3eVfdvbm4+ZZN9S1yOw0LgiQtkWjK3nlEvIwSYNpbdjni1DtYHGh8U53YrVqSinym2Zi2FUVTW8+cP73Lvek7PGFofUVqglMQYSZFpNgYZF/cqMqMZlZIIDHVO0zoaH3h8d4bWMKtgWBp6BmZ1sqIQAdaHmto7lIBMAz5N193dcuOPLwiSwa1WUPkDvZgBooSmjcx0oB63nFktuHe14Niw4MK4ZZhpPuH4CpkRfOT8DJTAIBj1NfPGszEomFSOtV5AK3ndmB4fk+dbpiU9o2CQ8/huxdasQQo4PSoZ9cxlZOXw82/GyuFWNFg+RkKEY8OkOzs1KgkEYhApmL53c9WqBUHbnrVcmtRkWrIxyBmVBtm1LO9U/dfHkz3GEkvcKTgS+fqCL/gCfuEXfoH/7//7/4A0Gh5C4E1vehNf9EVfdFs3cIlr47AQ+PDvXEsmdao+WBfIlaRqHUIcmJH6GJm1nknjODXK02TZXsWFScWoMKwVJpmstp6qCbiQJhUnc4ePniChDZGVPKMKjqr1VC6QAf3CUOi0Lb3cMG4sU+vpW0uQEhEDbqnzuiMxUCAVtG0iXJbOd01DbgQxRirn2TCGtdLQyw2DzDDNHGf3Gk6MCkqluGe9xIaYDFj7GdPK0kbPtPH7ZKuyjhi4LBA7hMi4ark0rglAL1P0OtPfk6OSIpMcG+VoKZHCX0ZWbqWNeCu5jYe9rAqjun5sEtsXWt20uH8hTM+0pHGBQaH3A8Kv99rPND4e7TGWWOJOwZG+529605t46Utfyp//+Z/Tti3f9V3fxXvf+162t7f5oz/6o9u9jUtcA4uTQugOiiFEJLA5bWhcYFI7prVjd96glCZ27u9CgOjGwkut8SGyPU9VgJm1nNuec1Ym0b3pJhJrG+hnGqnAOsG49pSZRkmwMdD4QOYF0xDIjWRWt+y2gb5RjEqNiBEfAt45Zjad1JcDjncGMsBoCA4GRRo82bQe231eFJBryLVBSxAIhqUiAOM6TbziA00IvO/CmI9emhFC5N71kmOjjEwrtqYNW7OGzbLmxDAjAttzy2ppOD8+OKHvVS3bM8uoNOzVjtYHJpVNFd0yY7XM0DJVXq4kKzfbRoRbMwe93V5WuU7bd6XS9k40Jr2VfbrEEkvcGo5Evl70ohfx7ne/m5/92Z9FKcVsNuMrv/Irec1rXnOZGeoSTx0OnxQyLRnPLbPGcW6v4tggY700VI3j7G7L8ZXIXgU+RHpGEkVgXDnOrGq2ZxbrAms9xU7VMO68elyMaCEoNAgUgzKdNM/tzpnbQKbg0sSxOW5ofSQvFUIItmYNO5WlpxUhpPaOiwEaj0ASCUvidQdBAv0cooEgBVoJjITgk+ZrP7pJxFRhEslQN0RYLw0xwmaVhjk2egX5ScFHLs3ZmrTMWwsxWTOMCoONkb96dIdBrnnoxJDjgwIfIxcnSXg+az2FUYxKQ24s08bR2EBtHadXCkal2d/uw2TlVq0cbpVQLVqG48XgipRH9rK6W4xJP57tMZZY4k7AkSvca2trvOxlL+MzPuMzCCGdTv/sz/4MSDYOSzz1WBz8d2eWppvCOjMq6OWaTEuKTKBkzbhuaWygVJIz6yUSwaVpmrbSUnL/esGs8YBgtcxonOfcXo0WAq01g1zivCdXggc2SqoW5q3l4qQlxshaT9MvTKpS1AGlIt5IVDg4uYzbiHXJB2zZc7xzYGT6d6yVBiUl48aR55IiBqQAKSWVCzSto8wKSgnbVYPclQgCpdaEECnyjI1BxqnVghDgb87t8f8u1iit+MSTfZ5/ekAuFB+8NMWHSOsis9btE6qdyhIjDIukgVrtZQwKzUY/Z5BrjFLJZ+saZKVx/oZtRK7QLd0KobrdXla3k8w9VbiV1uwSSyxx6zjS9+e3fuu3+IZv+Aa2tra40qlCCIH3R8iHWeKWcfikcGyU0y9Mcs+WkZ2pZXsm+cyH+lStQ0sY176zCig4tzvn4a0ZuZaMyoxz40nSoSjFuGrZlJKekcxt5P71HkpL1krDfRsDjIA/+cgW//fcHnXjyLRKujOS0WrrA7mEKCIaRSE95Aqi3w/AXuLOgFRdlUsKCi1ZUwbZZXS2NjJuLC46tIYHjxWICLVLbbtJ7dlylpOjjGHfIKSgbj1SSdb7OUIIVgc5p1dKtqeWTEfKXEOUWO/ZmqYPwrAw1NbvJygsKixaSpzwHOvnDErFvAnXJCtP1EZUCMZVy6zxV+mWbpVQ3S4vq7vBmHSZ27jEEk8tjnQsee1rX8tXfdVX8f3f//3XzTRc4umDVpKSJFCOROaV49HtWdLstJ7SKPJMcTzThAjT2iKkZJAbtqY188bTOM/xQTph7sxbVkvNpHHYGNmtHL1MI6Vjo3EoBcNS0bSO8+MK6yAQcc5jfWpTBR/xEWIItK4T+vulvcTTDckT6+si4CLsTC2uSELwtV6GkAIpPNMGFB6CZm/uKI1mvadZKQxOCOomsDm1DIqGe1ZKxpVjd97iYoQoIERa75k0kWN9hZLQWo+WAqMl08ahlaDQil4u2Z5d2zh1rZ/jeteeunuiVl6mBNsze13d0q0Qqts99XcnG5PeLe3RJZa4W3Gk7/7Fixd5/etfvyRedxAWB8sPX5ywM29xPpIbxbxNuXMuBI4Py0S2WsmgMJxe7VFmCmLKZfQh0isk672MUa6YtalaIJD4GJKwn8i88milmLWWuXWIINBaYD1MbRJp9wuIPrBXJ8IV2Y9wXOJpxI3Il7NgMhAitYWrxlPnAa0FtQ0oJZBCURjBtLEIBBcmge3Ks1JkjHqK3SYyqR3n92rGTcvWNIm0EZFLkySid8EzHTaUhcFIyYVJzWqRdISZkty7lkxGtZTXbcc9EVm5VitvvWeYNO4y3ZL1EecDlybNvm7pRqTq2Tr1dze0R5dY4m7FkcjXP/gH/4Df+73f47nPfe7t3p4lngT6mSZTitJopo1nd96ipMDHyPZOS+siMcYkaNaKxnlWyoyekWgN1gWIggvUSCM53c9RQjAsDY0N+JhOuFp6/ubxPWa1xwhNnglmzuNCNz0nQQqJjWGfeMGy2/hMwHH9fEcBBJEe01KSGYWWKUpHCokRAiUlw0KzWhp2K8eud6wOM1rrmCuBbuGB1ZKNQYH3nkntyI2kVALfCfIbG9jZa2hs5EVnNJ9waohAcHavYq2XcWol3ycyN9OOuxZZutZzfYzs1Y6iI1hnd+ec36tpnCcE8CFwrJ8zs1e3JA+Tqmfr1N/d0B5dYom7FUciXz/1Uz/FV33VV/EHf/AHfPInfzLGmMsef93rXndbNm6JW4MNgcxIzmQF88by2M6Mfq7JpKa2jo9tTzg+LDEqEa9ZZxXwaOOY1p6VUtEzmlGhiVGw3stpbDpRCQQ9o5m3nr1Zk/L1SkOmUsuSALkBTLKyIHiCXxKuZwoLl3q4/v9AASGC81ATcLT0M02JpMVjckOpFCrXtN5hjKB2geAjRiUioqXgxEqPF50ekWnJpLFsTiwfujjm2DBDClKVqTSs9jLKPOP4oAAJRkvWekmnGGJEdrXR61W4bqYCddlzfdjXLV0cV3zk0oxBYehlksZ63vPYHhvDjOeeGF2XVC2n/u7s9ugSS9ytONJ36pd+6Zf47d/+bcqy5Pd+7/cQh8SXQogl+XqasTgpbc1aLoxrZo1lc9JyYlAiBEwbj5KKU6MM65OR5bAwOB+4MGkwKlU3+oXm4l5N8NAvFZvThu1pQ5krhrkm05qL05rx3FI1AS0krYwoGckM9JWisR7nI1prpLU3bHst8dQg0FW2utuCA0K2uG9RFfMeWg+iBYJjMMrY6JXkWiNkwPkUTRV8ZDVThJiqRiLCaplRZpo8k6z1clb7GYWueXRnTvQRtOTUSs7xYc7Jfs649cytZ5Ankj9tHI9szellipXS0M80UXDNKsutVqAWrfjHduY8sj2nzNIUcGsDx4Y5F6c1e7MkSLxe7NFy6m+JJZZ4KnCk48a//Jf/kn/9r/813/M934OUH99XfXcDDp+UNvoZj27PGdct96/1yTNNrgNlJhgUBmKkzDSlljxSW1wI1DYwLBQ7s7Cv4SpcIBIZ5BohE6nenVu2Jy3TxpFlglwJzu1ZYvQEUli385FhLnAh0LZL4vVM4cqh0si1hx0WwdmQDgaNhcZFnPfMWo8UYGPsEhMip4Y5K33DtPXMnadyDq0iuVSs9zNCjFwc1/SMxPpIqSR51lWNBBzLFfet92hd4OK4JteKIpM0NvCBvQmlkfQLc1VV66gVqJUyY1InL7u8W36tb8iNwswVTUgtxwWuJFXLqb8llljiqcCRyFfbtnzN13zNknjdAbj6pJRxYpjT2sDmtOXUqqTMBC7Ao9tzjg9zTgwVtU1iaCVIXkqF4fy4Ylp5Gu8JRKRMWjAQDHLFud2WrWmNDbA3bRhbh/eOeQsuRCJQGlACJpVfTjbeRZB01TEJVeMYC0lUgugjWimMACEFY+tZETknh4baB5SQxCgYlJqVMmNnloKwe7nko5vzRFCkQImUhvDc40Oq1rE3t4QYMUqwPbXszlu2Jg2rfcML+hkCcVlV62YqUFd6eUHSLZ0YFpxeLREIVnoG3Q2X2ODRJHK1wJWkajn1t8QSSzwVONKR41WvehX/9b/+19u9LUvcAHXruDSuuDSpqNtEbRYnJaMk09oyqSylTtWFfp5iTPYqx6Rq0zRjJpm3gTIXjIqkw1kf5NjgGVeW3brB2kBpNIUSzOpAjJHaerbmDQjBrLFszx11ndzqtYJhDqsFjEpJCIKl1dudC3Wd2wKQIlXCbIRRkXFytceZtR7Hhz02BhkxBD62PeeRnYpMSj7hRJ/To5IQoXUpL7TIFfesD3jhqRHDwrBbtZyftqx2BqrvOztmZ97SzxSNT9FTzgfKXDOpPdPqYEJxXKVp3cMVqMM47OX12M6cR7fnPLYzZ2fWELqKVpFpHljvUds0tde6wKy1ECIrfQ1C4EP6jNfWMyr1ZaRqpUwXNHSxXESWU39LLLHEk8KRKl/ee370R3+U3/7t3+Zv/a2/dZXg/s1vfvNt2bglEpwLfHRrwl89ssu5SY0ATg0LPuX+Ve5b6xNC4N2PbnN2t6JxEe89uZb0MsWHzleMW4dzgUGmcD5FuPQzTWlgXDv+38Ux2zPLB8/vMbeeE/08WUxIQa4lm3OHd4EPnJ8ybSzbs4Zp7fEBOg5I3yTDzvk00Hhon9E9tsQTwZDajYf1YFp0AxOym5o1illjWR8YVgrN3rxl3gaK3DAoDINM40Lkke2aTGuOr+TYEKlbz8W9mtoGBoXh0qTh+DCnzDX3r/VZH2TszFqaxjO3gVFp9rVpmU5Vspl1rIVwWVUr1+rIXl4A9631ATi3W7NbtRRK8in3rzHKDXN7bfPWBZZTf0ssscTtxpHI11//9V/zqZ/6qQC85z3vuewxsdRA3HY8ujPjf394k525ZbWfrsDP7tVUH9lCP19yfrfi3Y/usDEoWO9l7NUtH7k0YZgrekXOemmY1p6Z9WxNW06vFOxUllxJgg+c606WUknyEJnULUIKjFbszR2TOqBFpLaOrVnLtPIEEvFypBOnt2CSP+aSeN3hcKQv/uJ/54BSpgpmLlObTQnB1txxfrdmknvGtUWKQB/NwGjOrJbJ161t+dhOxX3rPYwUTBrLxWnNer8ghEgbksNbriQuROaNp2o9FyZzdirLc4716Rdp+tb7yKlRAVEQAoR4eQtwpcxwPrBTWWrrKbS6ppfXtbRgWksePD7k9EqJDREjBUWWDn83a566nPpbYoklbheOdCz53d/93du9HUtcB3Xr+OhWCrM+Nizp5+nEYrRgVjned3aPnZnl3rU+mVb4EFO7aFgyaTwnejnbdcO8dcy9Z956ahd4YK2Pkany9ZyNPvPWoUXk0rTFxcBe7djoCbZmLUpIdmpHiBLvA3kmqNuIOGQg5VnaStwtcEAJCAFN909rPBQCjq8U9HLFpPHEEHDB47zEWs96T1P5SGNTDqgUAesCSkREx1lk5/HmQ0SS2phtgEntqO0M5yNVExBERA/e9/geo4FBIQkEpo1jVUtan6ZmF7qqxUTvrE0RVQLo5SmlYeHldRjXm0YsMk1xxf5Ykqolllji6cbymHOHw4ZIVTuUFOT6oKpoupPNuHZUznP/+gCtBTGCC4F54xk3M4SC87s1MxsYZJrWJ/PV9b6mzAu0lhgtqaYehKSXaYwSnN+ruDit2Zq03LPWI1MC60IyUpVABB8vn2ZcTjbePXBAptIBwLrUcjw5zFHAud0GIUFphZaSEKEsNCjFaq7QMjJrHCHCoNA89/iAQWawITIsMp6zETm7V+EDaAmzyjHvxPK1SxXU3EgKJ9mrWspC8bxTQyaN49KkJjcSLUrWh3q/BXh4ondYGKwP+1FEy2nEJZZY4m7Dknzd4TBSUBYavxtpXER355eF8HhUaEKIzFrLuslBgCAFFxspEEC/0Ljo8J2OZqWXoYWmatPt1gYaHxlkaV27VYNUknljMUrg8fsnsRACEwv1cpTxroanI10aehkgoHEwtw4bYSNTuCCQUtHLFaulYa9KzmBRKFYKjQ+R+9Z73LvRp8w0RgoyJTk+TLWlc3s1RmkmTUOuYK9qAMVKmbHay6haRz83zBpHG5L31olhRplrTo7yy9qC17OZmDeBfqbYnl87E/J6bcTbndO4xBJLLHErWJKvOxxFpnlwo8djW1M2JxUuJM3X7rxlrW944ZkV9uYt/+fRHQD6mWHWpiy9MysFcxvo5xofYFY7SiMZ5oraOoxWrJeGceMxSuBcSGHaLplgCgKTCJtjh4yB1gWaBubdtl05NdeX3Uk9HHhHLXFnYqH1UgGIICTY4Olpyag0DIqMWW3RUuAi1G3g/vWS7VnLhUnFIFc8cKzPiVGOFoJeLhFS0M8VD2/OmFtPP9MMC4eWkcp6dmvHiZFkrZcxKDW196yWBh8iJ4YFKz2DQDBvHeKQ/cONbCYGRSJZN5NB+GzNaVxiiSXuLCzJ112A+9b6vOR5x3j3x7ppxyi4Z7Xgb9+Xph3vWekB8OGLU86NK0otefGZFXItee+5CXu1JZOCUakIUbA3s2RGYZTkhadH7DWWvzk7ZndmyY0gU1lqNWlNMciIMXB+7//f3p1H2XVVB/7/nuFO776hJqlKkiXZxjbYGAIYmjAEk5VgkhCGpDsQ3AjoZCWhIRgHYkg6PxJCum0gCSSBBNq9eoV0hgVZi0BGwO6EGNxmtHEYgzE2HiWVVeOb7nTO+f1xq8oqWZIlS6pJ56OlJdUbz31Vdd9+5+yzdx+HAwnaPlwpXfNwoc6K+kKf+7U5OKCyEASwdyxmpJkw2xsSSEFR1QGPqSoGhWAoSyZaIZ1GxGQ75rxtLTqNkNy6usTEsGJhWNWzsHlFf1jRX8oNmxyJsQbyQz2UFGTGIrIKYaGoKlpJRBLWS5xZaR6xXPhohU4DJUlCfUK7Ec/WPo2e520sPvjaBLSWXDjZYfdoSjcrQUArClaWZax17J1oEmrFoDRUlUEpxUQzoplEfOuBeR5cGNIMNSPNiLKyhFqipURIyfnb2qShZv9Cxlw/4aF+jrQw3c2oHOTGkkQB/aIiUJAmdePkbmHIyro3oKMuYdBMBXN9R76ur5h3ohQw0QzZMdogN3Uie+UE4zGUlWBQWQpjkaFkflhx6a4Oe8eatBsBWWVQwPywop2EaCE40M+4Z6ZPWdW14gB2jjToZRWjwxCcIC8Nw9wwlmosMN4I6qBsqc7WkcuFJ1ro9NES532fRs/zNgoffG0icahXAq7DLX+aT+OAZhJw38yA/rCs6yYJGGlGPDA/YLqbEwSS7a26JMVMv+DemR5hINnWSogCTVYsUJSOkUQTBQpbVCwOSorSsji0CAVaCIRWhJWjcHaldEGaCJJQMdf3CWEbWSjqoMu5OufLWst9s0PG0og4UGSVpbQKpRUtJWloaCQhrUiTRgFaC4aloZtVHOplTKQRnUQzN6jYPz/kvpk+s4OcsWZMPzPsGU0Ya0Vsb8V085JmqAgDyZ7RFKVgrBFRVPa4y4XLl53I0uKx+D6NnudtFP5cs8kd+Wk+K+s6Sv2y4sD9Q0KtGGkEnDOWMtvLGOQVd+d9vj6cY3ZQYB3cNzfk4skWjaQurrm9HWAsWOeQot7RlpeG8VShFCwu5cvAwyUmNOCsY65XUa7nC+I9KuHqml5OQhQI4ijACYgDQRyEDLs5vaykHdeZ+JkxdecEpZgfFLSSOghztu7PONfLmR8WpFFAYQy5sfQKS2OprMm/3b/AedtSLtre5PwoJZASISS7RhO2t6PjNtNedjoKnfo+jZ7nbRQ++Nrkjvw0389LFvMKQb1cGIeKhxZz7p8b0MsrhIDFYYGUEikkWjnmegVfGM6ysxNx8Y4ROonmuwd7WGuxTjCeBlSlwZKQVQO6QF5arANr66UqQ71brjS+5MTpdlg5NSQn//oefp9Y1P0bdQCuqtsIaQnbOzFS1M3Rd3USelmJsY5mohgPQ4aFpd0IOLg4ZLwZo6Vhpl+ihCQOFdYKZnsZ3dww0YpxTrAwLEkjRVnVra8WspJtnZixNKYTa0bSkEirkwqiTqUml+/T6HneRuGDr03u8E/zDsGgsIw1Ah7qZjhbz3J085LFvEQAg8IwvVAw2gpJI0EzCBhpBuS5wSIprWNQGKY6CYOi5P6ZAZWTjLVCpHDM9ySxFvStw1T1G3tT13lfi6VPtj8TDg++HktgGyzdTwCBengnahxLRpKQHZ0G482IQWloBJZWFNAvLcPcYFyFRnLOaEwSBsz0Cvp5Sb8okVJw/kSDxcygVZ28vzAoCNsJY2lIKwoItSSNSpwTpIHGGgiVIF/qrLDWuw1Px/Kl53neqfLB1yZ3+Kd5WdWFUONQkUaavHLMDIq69lIzYliVzPZynAKJIA01pXPM90sKY1jIDbP9jDjUjCYhaagJAkUoBIuloTDUPSOjgLIqcLoOviINC7bOIfJOv8cScC2V7kIqUEuzXcY83McxCTUTacjusQY7OylaS5rGrJQxiQNJLB060BTWoqRgrKHB1T9zjUgz1Y5pJZo793fJKksahBg3wDmDkoowFkghkBJCJRlvxVTO0c8NzUSjpcS4OggrKst488zPPvk+jZ7nbQQ++NoClj+1z/YLcmMIkTxue4sdWcm/H+zWPRyB4YIhjTVCCMJQ4nDM9Uv2z5VkhaHRCLgobNIIFPsXMvp5icaxfyGjV1QIHEkU0s8dWpUI6XAWMlvnEEnrlxw3ijSsvyc4qBw4Uy81hlLSSjRxIJFKUhk40MsIpKCTKBaGFb3cEkgBUhPpOgF/UBi2tRqMNesZ1jSqA3yBYLQZYiwkocIJx0O9nH5W0Ig0WgqUkpw7kRIEkntnhyhZd24ojWVYGorSML2Ycc5YwngarcksmG8p5HneevLnny3g8E/zaaSY7RfEgSIKJKPdnPlhSTNSHFhqVOxcyf65IdPSESmFcY4wVDRU3dNPdnNmejkH5gd0qwpTOKJQ0Yo1SSCJtMQ4w0wvr4t1WjCVD7w2ksUCOhHEWmCquhmiloJWpBlJQrSSSAkGQ5ZbojigMGCdYPdYQmEs98/0OdTLaUeahYHirkO9Oml+W5N+bjjYy0hDzTmjjbrh9aDk4p0tzs0b3Dc74IH5AWkYsXe8wVgrIivqBu2HuiVxoDHGstAvsdR9Qp3jlGtu+cr1nudtBj742kK0kmxvJURasTisqKxjZydhpBFgnaOXVywO6+rheTWglxsiVef97Bypb3f//JB7Z/osDnIOdnP6hUVIR9uFDPKSNA4ZbQQIIakbGTmqEl/Xaw0dngN2LAbo5qClIwnrADuNAsbikDisp8SEkAxLRyhBK0GoQThNMw5w1rGQFBQGlFBL/RYFQghG0pDdYwHbBxH93OCAZhSwcyShEWoGZcVIGhIoiVSCQCukEIymmpl+3fxdSBiUlmaiKSpLVTlCXf9MPZaaW75yved5m4kPvraIwz/xt+I60dkYh0kDFgcV3zvUY7wZ0ow0OzoR47HmYC8HIRlPA7SUFGVFuJRDds9Mn8JY4kAuzWoU4GCmVzJIA4rKoKQj84HXmguoc+2yE7itcdDQEmUdxjpQsJjV7afaUYiQdWP1/YsFrbxu/fP9Qz2sE5SlZbShaSURT98zwu6JJnlpmF7MSSc0U53GI2aa5vo5s/2SVhRw7rYmhbFYy1KroYBIDcmsoSwsZVVvlc3LusejFBIlxWOqueUr129cfjbS8x7JB1+b3OGf+AtT71CzzlJYy0MLOYW1df2tfslIqpjp5dwzU89u9QtDO5RML0jmhhUKAULQCARZWRJIwSCvONQrKF2d0+UEzPUKSguFXWop5K2pgkf21TySBpIQWrFmsh2Tl47KGsbTmPvnh0ip6JeGNASpA8qi4sBCRivWjMWahaGhW1ls6RhNQxqxYlhUHOrlDEuDVILtzTo/a/kN9ciac6V1zPRylIZeXqGVIA4VnUaAlIK5QU5hLEmg0MrQzUqSUJ10zS1fuX5j8rORnndsPvja5BaGBfsXhgRKkpeGuUF9spvtZ/QLS15UOATCOfYvVHSzisVhSaQlUgr2L2TgHGmk6oKpTjDTKygNdBLFsLJYQIqHG2YX1CULFD74Wi+P1rhcUgfLIBjklryqCANJWVXkZYWzhsIKmmG9g1FKR78wDHJLIwxpJo5eIbFYstLxpbvmaEaSHaMNJnVMIMQjZpaOrDnXjgMAFgYlvbxiNAk5fyIlKy1ZWdGONf2iItSKNNRML2akkeKC7a2TCpZ85fqNyc9Get6x+XPSJlaUhntnBks7EWGml5OEil5WMr1YMNmJgfoTaFEa7nyoRxJoeqVBi7reUlkZnBA0Aa00j5tMueehHvfND5kblJTGEQV1ro+wlsxAqKnf/QWErg7GvI1DUhdOFQoKY5kfZlSVZUIllMbSCiX9AmJdB8+VsWhZLzdb6ZgfFkSqLhHRjiPSQLEwLLl3tqCyjql2QmkdoZKrZpaOrCAvpWCkERJIwYgL2D2aEGrFTC/jjoM57SSkmYQIB1EowbESiJ0MX7l+4/GzkZ53fD742sTmBgUP9XLaSYAQ9W7D+UHJoV6OlJJQSRQSJR2FsuSlJQ0dOCiNo7QWLQVSSYRUCAGdWNOONcbUQZk1FiklOIuQoF09C1bUD4M6kexvb01o6tlIJevvEUAiBZWAkUZEuxHQaYRY51jIMrQQ9Y7DvEI4QaIE1gpaDU2gFSNphLGW2UFJXhlGGiGNUBMGkplezkgjrHMLl2aWjlVBvrSO7a1opS9puxEy0YqJtCLQAlw9e4Wrg0V3krGSr1y/8fjZSO9M2So5hP7nf5OqjKWbVySBQkmBEoIkUFTWkuUWHUgc4Jb/GEcj1DSiAOckc4OCUCtK5xDGUpgKYyV3TndZGBjGkpAwkMwOK4x1aKkQVBSVo6zqN/fKwdAHXmtqOS5ZTroXS+eeSEIQ1AF4IAVa1aVBmqEmN45YSwKlEEKRxgHhoKQsDWVliYSgmSjywiKsZbITsX++YKG0GGeRzhFpxWgjINSKUCqUEswPCibb8aqZpROpIK+EINISIUDL+gA0kJXmMc9U+cr1G4ufjfROt62WQ+iDr03KLJWTH0tD5gYlUSBpBIr5fgHSESoYFBXWWgpjWRwWJBp6WYk1lkFe1CdFW09lZYVBS8O9cwYl4JzRlDBQhGrAoDRkJcgIClMyKOo3ft9Ae+0dHuuqpYCroSVKK5KgnoUKtWa0EbC9FTGsLFXpQEKgJVllCJA0Qo2OQpqJQgkwThAHkt3jKaHUzPQXcVbQSQOMtfSzisXZ+qR3/qCg3QjoFxVptLo344lUkD8TM1W+cv3G4mcjvdNtq+UQ+uBrk1r+ZKlCxbgU9PIKJSWdRsD5EylWQJYbKiFYyAv2Lwzq2Yt4qeZXWQdke0YTDJYDiyXDAiyGqWZAO9FUxtJK6uKbuIJAKVqxxRnD4CgZ38HSvz4oO7PqJT4IA4iUrIPkQNIIJMZKmrFmvBlhbJ2rp4O6ptdYEnComzM9KOhmFRONgKy0NMI6P+vx25ucO9FiWFl2dRIWsoqqslTOEknBsKoT5e+Y7jLVinjc9hZjjaOf9B6tgvzpmKk62vKDr1y/cfjZSO902Yo5hP48tUkd/skyDhRJqMhLS6cRML57BAfcc6jPNx9YoBVG7B0TOFnvbmtHislOgwPzQ+JAMigN4y1Dllf0Cktl6ur1k6MNRuKAMNDkVUgaaO6f72HJELmjqAABdmnLYxJBMxTM9B0DX+7+tJFLf4OlXDsFJLpu54MTGAvG1jtVAyVpJQFpJFkY1qVHlBJEAcz0CzJrcUIw0QyJtaKbV0y2IsaaMYEOQAi0kGwfSRg3jvvnhpSVYWgNk52Y3eMp7UTTLQxprAiDRyt6cYxjOoWZqq22/LBV+dlI73TZijmEm2283mEO/2RZGEuoJBPNkE5SJ1XfN9MnChTnTYQMypi8rJgdlPQKy3gzRAq4b26AlpJ2okjDkLapmB8UBFrSG5YcGJbEoaQV1338hoXFOElVGax5uOSBA/Ki/iWRQEMCFgbr9NpsFQJIxMO5XaGty3wEAQxLSygFjVixsxMx1ojJKkOsNYFUpBEoNFGgCKXgQHdIOwpoRSHCGmayCr3UZ7GyhrtmMgLpiALNQlYy1Y65aLK10oPR2LoKfTuKEDFYK+qdkqfwhvpYZqpOx/LDVkna3Qz8bKR3qrZiDqH/ndjEjvfJcphXLOaGRqhJE83C3JCiqstL5KWjnQSMNEIOLGY0I40SkoWsQDsJ1nLfoSGDvEIpgZASgaCdaPLSMBgaMvPIGl+VA13UMzOBArMUgHknbqkXdl1bDQiBRgLGwCCvg91EQTMIyFVd9bYTx7SSmF3jDcbSiF5WcGAxJw4021sB5443KC24+6GXF1SFJa/qn4G8MOyfG2Iqy2QnIY7q0g/lUrCVBJqsNCSBIgkUO0aSpU+fAgRH/cR5JgObU11+8LNmnrf5bMUcQh98bQHH+mQpBCgp6GUVRWnIK4OQAucM0wsZnSRkqhVTWItxoHDMZyUHujmLeUUkJULUhVqVEsz1KvpFRe84TbQt9WxNfpTgzDsxy2XUIgmdGCyKoTVLu1dhUIClpBNrRtOQCydTtrVSwGIdtBoRi8OK0TTkSeeM0EpCFvol+1tDsqICXQfGnUgxbyyZMQyqijASKAFTIzHnTjQoKsuwrBiWhrE0ZNdIQhJrysrSjBWxVqs+ca5FYHOqyw9bLWnX884WWy2H0AdfW1SkFeONiIV+wX1zA4yBsrIsDAukdHQaGiccU52Ie2Yz+nnOgcUhc4OKvDRIBGGgWMzqMhVaCgosztazM8cLvvxk12O3vIybKAhVncsVRoLYCXAOYajrtJWgEolWmmHpAEOoNcOiTqAPA0UcaCaaEaPNiFBJRmPNPUgakcblJffMDikrW9fuUoqitPTzik4ScM5YyuKwZDQNOH88Y7qfgxQ4C81YE0hJO9GrPnEeK7CprKWdhKdlJuxUlh+2YtKu550ttloOoQ++tiitJOeMJuyfH5AXdTjkltoIKQnSwUy/ZHszZLwR0M0KupnBIegkIf2ixAqHcQaLw5QgsBS2Xg5TPHqLG++x6YSwZzwhqwyHBvWSn3BQmIpYQWUg0II4gjisG59PL+bsmdBEWhIIx85OQjsOWMwqGpFmMSuZ6ETs6ccc7OcrJ6+RVkgaBfTzikgr9oylWAsHFgbkpUVJQbMRkMQKa+ulxlgr2ole9YnzaIGNEJKFQcEd+3Mm2hGRlqc8E3Yqyw9bMWnX8842WyWHcCscg3cMrThgLA0ZTQPmByVCCiSC3rAiq3K2N2N6pWFmWDGSBIy3YzCOh/oForRoIQi1ojcsccuhlqlntnzgdfoJ6l/IWMNYO6GsLP28z7CoKA1gl2YVXX1bIRRKC0YbARb4zv4FQiWZGmmwvRNhnWO2lxNryXw/J1YB2zsJC1lJmIaMxiEV0C8qKmMZ5Ib9C0O+f6hPEkkeP9kijTTGOkrjGGsGx5zBOlpgszgsWcgqHHWivjhKP8jH4rEuP2zFpF3P8zYnH3xtUdY6pntDHlzIGAwNg8IwnoYUTjDTLZhbyEgCyUjaItQlWe5wFnJjsc4hBQwrgzUGJ8CaupVQvcDlnQnLifYLJTww06OVBLQjmM0c/dIigDgApCBRmiSoZ7raDc2B+ZzpxYx2I2TSQSDrEiJS1QFHFCgakUaphEO9nG5R0M8spjSMxJqRsQSLZFBW9POS7e0WSEk/rxhp1EHNILeMNo4+1X9kYFNZSzerUBIipQmVRCtJZS2HugVJoFbaDZ2sx7r8sBWTdj3P25x88LUFWeu4Z6bHHQe63Ds/ILOWkUZAXhkWhyU4GJYVM/2SNMroDktm+wXGGIxxTDQj5iVkiwWgSKSjwJHl9Y5Gn9N1ZizPu1QldHODdYJIKUZihXIFmXE4Ue90PHdbgnCCYVbxnQM9ZnolRVmhteB7hxbpFiWjjZBQJUz3ctpxQF5ZmnHAnrEGMwPFrMxRImLXaEJlwVhLM9YUVUQ7qfPEenlV53g9ytLckYGNc3WHBQk0U42UdTui+UFJv6iwwrG9GZ3yEuTJnsC2WtKu53mbkw++NpHKWPKqnneKtHrEJ/XlLf7TC0PumO4SKsF4I+Sefp+hA+csuYF2rLE2ppeV3HFwgUgrcI52pDlY5EgnaUYBekSS54aFXBLZCuEMw6reyeidXgGQBFBaCDWEuu7NKbUmxFFYTWgcQSBJY41wgn5h6hZDKMZSRV4Iepmln+coIQmk5N65AYcGJZdMtbBOUBlDJwlwTjCeRoRSYKzgwcWMbWnItjSkXxhyY5BCUBmHtWDdoy/NHR7Y5JVBUTfpbscBi8OSmV4BwtEMNcFpWoI8WVstaXcz8DXVjs2/NmcvH3xtAtY65gY5988OmBuWCGAkCTlnNFl5E+llJd2sYqafc+d0n0FRMpaGzHYzDnYzekXFMDdEgWA8qfvyzfZLnAMrLMHSLMKhfsliXpKGitI6+kVBNyuwRpBV0PeB12kXAIGsZ4sagWI0VTgrGJaWOHA0GhonBA6INHQaEQ0tmRvULQZiDWGgKSqD1vVyWqwVzgnmegVVZciqJq2oXmab7MRsaznmhxVFZZA4dlDPQOUGBrmhsBUjjYAk0BTGUBn3qEtzRwY2Y42A2UHJoKyYH5QgHDjopAFpHJCVZt12GW6VpN2NzNdUOzb/2nj+/LMJLAwL7nqoRz83NKL6WzbTz5npZ4ynEZVzLA5LAiXJSosQYC08MDvgvtkMYx1poMlyQ1Y4pquMQWEYliCcITOO0jkwlmakKStHzzmyPGduWNVthJyrezx6p4UAYupaaA0FMoQ0DJhIQ6yzPDg3xLg6kAo1hIEiKyzdgUGJiqAREgV1OZAgqHew9soKYQyhDMmMwfYztBL050s+Xx1iPA0YSyMGuWEkDejEmsJKDswPKYxDW6ikQUqBRrI4KGmOanAwkgSkR+RoLX9qd9YhpFj59L4c2HSSEOMcc/16qbEZajppQDuuu4D6XYZbm6+pdmz+tfH8OW+Dq4xlpl9QVI5WEtRLhEA/r5hezFfqcQVSMt3NaMf1G6wxlrsO9dBaMBHGZFXFNI44kAxLQRho4lCymJUIa5DW0i8NUoBUil5eMsjrXXZFVZeWKNb3pdhSFHVj7KaGVqzRUqECiXEwKAwVICUYZ6kMWGvIiorcwDYNmbFLJ+4AYx350u7UzIIpSvQAmokm1gEqlIzEmmFpOTA3YHox4/FTLS7ZNYIQMN8vGVYFWkskgpE0IAkSkkCwrRlRGEs3r4utdpKAVhTQzUvmBgVzg4Lh0oeCkSRgNA1Xrl/+VC+loL10favxcG6V32W4dfmaasfmXxsPfPC14RnnKCqLFAIt61/Iylqy0hJqiRVgHUSBQklJZSENJVrVZSWEgqyqcMBYElAYw+KgIpCWOAoZFBXC1XlG80NHVlrSoG7SbV1d6BPq9ja4dXsZthxH/ZrvHE2QKEINh7oF82VJZQzW1q99JKGXGwpjiRU0tCLRGpRkLA0YFgYlJYV1KOHQSrBrpMGukYiZbslsVjLeCAkCRZkbunmFlIbF3DAsDGmkGU0jOo0AnGCyHaK1AgeHejkLw4p2EqzsDJzu5swPCgrj6lZThUUpwSCv0EpQWrdy/eGf6uf6OdO9HKEESaD9LsMtztdUOzb/2njgg68NTwlRB1nOUdl6G7+zUBiDEnVuj5QC6xyhkuSVYVsrop0EpLFiYVBSWUsaaopA08srhmVFJR1CmbqxcuUYZgZjoZCWpLIIKagKyF1dVNX4LY6nXaAlE60GzkEo6nISWhmU0mSFJasscVjX2ZKyrvNhhKMAtsUBkyMx872cwjgWM9gzlhJowbkTTQ51Cx4a9JkblIRScKg7xCIYFBWdVKMlPLS0zKGkQLj6Z0xrRaQV/axkWFR0RpJVn86NsTw4P2RbO6Yw9RtIpBV5ZSgrR6wcD85nTC3drzCG7rAkqyz9YUVp6gr87ThkrBn4XYZblK+pdmz+tfHAB18bnlaS8TRkrp/THZaYyGGsXZm1GG/W+QHTixnWOoZFxfRCRr+wjKUhD84OEErS0oIkUIAkCQSDyiKKimypgGdeVdgKrIDFQUlhYVjVNb0EdQDmnbjlBtnwcL/LwycOA6Ao61nNREv6lWWyHeMQaAndQcGwdPTLCucglpo4kDQiSSQEgRSAoNOI0EKws+04b3ubba2Q++eG3Ds7oBnXdcDCQPPA7JB2EjDejFAStBIkoWJYGhqhZHoxJ9QSHGSlYVAa4lCRBKtPEUIKcuPACYx1K4GZlpJhWYHQ5MYhEMz0ljaJDOolllBDpCWzg3oBOwokWhY+yXgL8jXVjs2/Nh744GtT6CQh529r8sDskLlhgUBwzkhc71CUgmFp6BcVc4OCojQMMsv2TsgF25p0hyXzg5LFXkUcCkbTAE3EvXMZzjl6WUVWPjyzZXMoebiW13IzZz/xdWIiQKv6F6t0D7+uSVgHYL3i4UK1YagZTwOEgPv3D2k1AtJQ4pxCKcV4LCjnLJ1WiBaCJJDEUcBIrOsemtbSDDVKShpxwK7RmNFmyP7FjAsnW3z/UJ+sNEulIurcrjQKaMUaa8FYhzGOZqRJI0WoFcXSp+/JVkQ3rx7x6dxZR6QECIeSYmU2trL1/XCOQMK9Mz2muwULWUGk6lB0YWhwFkaaIQ5Rl0XxScZblq+pdmz+tfHWNcT+7Gc/y4tf/GJ27tyJEIJPfOITq653zvGOd7yDnTt3kiQJz3/+8/nmN7+56jZ5nvPGN76RiYkJ0jTlJS95Cffff/+q28zNzbFv3z46nQ6dTod9+/YxPz+/6jb33nsvL37xi0nTlImJCa666iqKYnWK+de//nUuv/xykiRh165dvPOd78S5M58IJaVgvBlz0VSLJ58zwlN2j/Afzpvgoqk2vbziwEKdaH/prg7nbmtyzljM3vGUvRNN9m5rcu5Eg/FmzI52wmgaMtpK2D3eYCSqE/gbETQiCDQI+XDApaiDCD8ncWJC6l+oUEIU1AnzQtSBVlZAZurrBdCOYKIZEASaRhgwkoaEwhEphbMVCEE/M4Ra0o4154zHTLQiEi1BQBppnrhjhMdNttg5kvCUnW3SKGCQWYxxjCUh482QTqxAOKSSSA2hFihR1+16cH7ATD9DCrhge4uLp9rsHmuwazRhWzthtBGSlYasNBjryEpDaR07R5J6qVQJBoVhMSsY5hWBFjghaISKe+eGCByx1gghmOsXlMbW5TKUWrp/nXC8OKzbG3lby3LpkV2jycrP1Wga+VlO/GvjrXPw1e/3+YEf+AE+8IEPHPX697znPbz3ve/lAx/4AF/+8peZmpriBS94Ad1ud+U2V199NR//+Mf5yEc+ws0330yv1+Mnf/InMebhughXXnklt99+O5/61Kf41Kc+xe23386+fftWrjfG8KIXvYh+v8/NN9/MRz7yET72sY/xlre8ZeU2i4uLvOAFL2Dnzp18+ctf5v3vfz+/93u/x3vf+94z8MqsZq1jrp9zYDFjpl8wOyjoFxVpqEkjvRRopYw3Y9IoYCSNyErLMDfMdQvumxtSmgrjLNZZ5gYleVHRLSuMMZRlnVBfVVDYuvzB8lKZxC85PhoBbE9gIgWlQKp6xmupHi4VkAFDU88qSiDWklao62bnsebcsQQVaAItCQLNtmZIEtYzRvfPDXlgJqNXGpRwKFWXfqis5VCvII00UaQIlUCLejnQOHjcthYTrYQn7Ohw6VSbiTQiDnSdj6U0rajenVjvUowIA7WqeG8nCdneimCpWj0Otrcido+mbG/V9bwaoQQLjUjTCgPG0ro22EQa1TsxnUUJGG+GCFHnJhbG1BtC5NKSi61LVnhbk1byqEWhPf/anM2EW4upmxMghODjH/84L3vZy4B61mvnzp1cffXVvO1tbwPqWa7JyUne/e5380u/9EssLCywbds2/vzP/5xXvOIVADz44IPs3r2bf/qnf+KFL3wh3/72t7nkkkv4whe+wDOf+UwAvvCFL/CsZz2Lf//3f+fxj388n/zkJ/nJn/xJ7rvvPnbu3AnARz7yEV772tcyPT1Nu93mgx/8IL/+67/OwYMHiaJ6ieRd73oX73//+7n//vsRJ5gkubi4SKfTYWFhgXa7fUL3mevnKzVhDs8P6CSaXm5ohHplCWj/fIZ1dVHWflZx7+yAhxYzBII4kJTWcP/skLlBTl5W3DeTUyzldi31bl4RsXoJ0js6CbSWZg3zcml2S9X9MEtXv4bLNBApOHcsZOdYiyCQTDRCBqUBA3Gk6BUGYw2zvYzFoSHUailJPSCJFJPtmKmRBtuaUV0wtRljXD0zNZYGzPRy7n6oT6gUDy4MGGQV0/0MUznGWnUJiVArnnROh9FGhBSCXaPJMd8AjlWF+2h1voxzfP9Qn/lBgaAum7EwrAiU5P65HiNJxI6RmPE0pJkEVJVFSXnc5/c8z9sIHsv797Fs2LPd3XffzYEDB7jiiitWLouiiMsvv5xbbrkFgFtvvZWyLFfdZufOnVx66aUrt/n85z9Pp9NZCbwAfvAHf5BOp7PqNpdeeulK4AXwwhe+kDzPufXWW1duc/nll68EXsu3efDBB/n+979/zOPI85zFxcVVf0/GkTVhlBQr/+8v9fkpl5ZstJS0Ys38MOfugz3unxvQL0qiUNJONGkcMJbGjKUBoZT0C8ugqmdljhZk5Ue5zHskC/QqGCzlcy1n14vDfrsk9TJuGsA5oyG5gQOLQ7KiYmZQMD8siUKBFo5OHGAsDHJHEmou2N5icqTBSCOkk0RMpDGjaci54yk7RxoEWq78TAxyy56RlB2dmEO9rJ41W8hQQjDWjhhpaCrrmB+WTHczhmXdSuh4M0/H+nS+fHkc6pXrlRBEWpKEisrWs3pjaUBmSkCgtUMIx0JW8v1Dfe6Z7WNdXUrF8zzvbLFhE+4PHDgAwOTk5KrLJycnueeee1ZuE4Yho6Ojj7jN8v0PHDjA9u3bH/H427dvX3WbI59ndHSUMAxX3ebcc899xPMsX3feeecd9Tiuu+46fvu3f/tRj/dYjlcTpjSWVqSZH5YYY5dmH6Asbf1mriWVdZSlIy9L0tCBcwwKg3UwyEuqxzwy73CGOsAqXd18fHnJdnm36HJokxvoFYaiNAxLi3V1r8MoUPz7gS69oqIZKErjGBhL5DTT3SF7J1qMNALMUnNtJQSNePWv73KdoMWiJIkCzt/WREp4YH5IpBSDwnDHYpcokIw1IvbP5WS55dyJ9LRtb1/eyTUsDM24LpnhgE4UcvGFbZQU3D+foV29UzLWAVllWRgWPune87yzxoYNvpYduZznnHvUJb4jb3O025+O2yyv2B5vPL/+67/Om9/85pWvFxcX2b1793HHf7hHqwnTiQMGRcWD80Ny49ACQq0Yb0RY4SisYX5QIoSjOxyQl45DvRxwNLSomzaf8Gi84ymPc52iDsJKC9OLhkCAahj6mWCml9EM6x2A/bKgXyicc8RSEoYw3cuRUqJUSndQEQd1gdWqquclnXNIISmMqXdU5hWBFAgpOGekUSfv53V9rqKytKOA0UbIsDLMZwXd/PTusDp8J1ekDSMiYHSpb92DC0P2jjcIlULKerZ2PXs8ep7nrYcNG3xNTU0B9azSjh07Vi6fnp5emXGampqiKArm5uZWzX5NT0/z7Gc/e+U2Bw8efMTjP/TQQ6se54tf/OKq6+fm5ijLctVtlmfBDn8eeOTs3OGiKFq1VHmyjlYTZlhWDHLDVCdiWBkK45gaSVCivu7Ogz0qZ+gNDb3M0tCCygpmhgUH5nNyU1c3HxQ+8Forh8+AGR6uAzYoSoYFKFEQKI01AqHqOlpZadBF3Vpgvp8zE2uSQLOjHRFIwd0zPbKyzv9TUtAINHvHG/UMqBJU1hGFmk4SomVJGgZMdRQWQVZZIqWZbNVLnHllTlvgc2SD7eVcsbwyS7O4dY7iMl/Z2/O8s82G/Zh53nnnMTU1xY033rhyWVEU3HTTTSuB1WWXXUYQBKtus3//fr7xjW+s3OZZz3oWCwsLfOlLX1q5zRe/+EUWFhZW3eYb3/gG+/fvX7nNDTfcQBRFXHbZZSu3+exnP7uq/MQNN9zAzp07H7Ecebot7zorK8u9sz0emBkutWwpuXemj5T1tn2l6lmQXl7x4HzG3Yd63HWoy32zfR6Y6zG9mDM3yMHWy12VX3NcE4K6qOry0qMG6tqkgsqCc2CdQGlJqBWhVKSxZDQNEBIkgn5Zz3ReftEE5062mBtWSGCmlzO9mHP/3JD5QcH++SGzvYy87oaOA5qRrhuua0jCgE4c0Ek0e8cTOmnEmUq3OjJX7PBZ3MP5yt6e551t1vWDZq/X484771z5+u677+b2229nbGyMPXv2cPXVV3Pttddy4YUXcuGFF3LttdfSaDS48sorAeh0Ovz8z/88b3nLWxgfH2dsbIxf/dVf5UlPehI/+qM/CsDFF1/Mj/3Yj/ELv/AL/M//+T8B+MVf/EV+8id/ksc//vEAXHHFFVxyySXs27eP3/3d32V2dpZf/dVf5Rd+4RdWdjRceeWV/PZv/zavfe1r+W//7b/x3e9+l2uvvZbf/M3fPOGdjqdqcVgw1y9JQ0USKKy13HWoTysKaCUB/bwirwxFVbEwLOlmBTOLOQgwtm7QnRewmBmUeLiWl3m0J/ZOyeGvswBaYd3X0TpwZqkWmHU0Q0kkHbmxIBRxpBFCkoaKdqy4cHuLHaONOpASdXHdQCt2NkLysqKXV8wdLDDWMNlp0Ajqxc5WpGnFAZ1QMz8s2DmSMNmKiQJFP68Ya4QrDduP5li7HU+Wr+zteZ5XW9fg6ytf+Qo//MM/vPL1cm7Ua17zGj784Q/z1re+leFwyOtf/3rm5uZ45jOfyQ033ECr1Vq5z/ve9z601rz85S9nOBzyIz/yI3z4wx9GqYffTP7yL/+Sq666amVX5Ete8pJVtcWUUvzjP/4jr3/963nOc55DkiRceeWV/N7v/d7KbTqdDjfeeCNveMMbePrTn87o6ChvfvObV+VznSkLw4L9C0OGlaUdKqwQHFwcEuulpRxnaUSabl4y0y2Y6edMpCEPzvfJqorcOmxlGNYbzjCmDgKWy0t4Z15G/Zpr6rpf2tW9HU1lEbA0AyZpRoq5+QHkFa1AEUeSdqS5ZGebbSMxC4OKytY13O6bHxJrRVYYhkVF5Wxd58sJjLGUCorKYZ1jx0jMZDtktl8Q67oqfmksaaTYNXb0Mg/WOhaGBQvDkso6tBR0lnK3HmsxSF/Z2/M8bwPV+TpbnGydkMpY7p8bkOUV3z7YpTusdygaaxHWMdIIeKhXMJIGHFooOdQfcKhboITjm/t7DPOc0jhKU5dCgDrg0kv/+pXHtaWASEAzhtE0ZLZfkhtHrCCNQ9JIMiwd1sA54w12jSSMNUPacchIEtJpBPSKEuFgflgRarmynGytoxnXhVt3dGKcg7FmHdg8YarFeFrnCM72C/LKEmnJWBoeM5g6Vn257a3olHcmnq7ZNM/zvLVyOut8+fzWDW651MTsoODB+QFpFNCOArp5yXcOLrCrk7Ctk+CMY26YcWChYDErMJWgNK7u60f9f6XqpS5r6xpe3tpT1G2cEJJ+YQi0oJWEjDQU1imcs2xrKjppyPZWzDmjKaGG2X7JYlZwDk0UliCoC68e7A6ZH5RIHMPKYAcOrSVZ4YhjhXWOvLLMDUsakT5qIvzRHFlfDljZbXs6diZqJf3Jx/O8s5Y//21wStRLSPsXMkYbEaVxVMbWpQQQzA9LLt7VoagcU3nCXQ/16WV13a+sLMir5XIYEEhgKfg6XlkE78wxQCMRxFJhEGxPFdvaCVIIAqmIowBjK8bSiMpCvyiZ6RmEFMRKsr0ZorQgKyzCVVTGIbBEoaKbWZJY0Yg1lYNGoAm1wllHKMWqoOnRfvGPV1/O70z0PM87Nf78ucFpJYlDxXQvJ9IKs1SQ0hjLaKKxUuIcVNbSLyqysiKvLDhQos4lqirQGnB102cCsOXDhUF9FftTp4GYOrfryKXc5QW95YbleeGIIkeaaJpRyNygYiyJ2DneoB2HTPcyxtKIQVEH2UNhmGiEtBshSta7IztpQBorVCDpDSse6mZUqWM0CagclMZQT0wJwlASBGqlh+KJ/NI/Wn05vzPR8zzvsfPB1yaghSCUgsoZ0jggtgqHozSWSCoiJbl/ts9dD/WoLIRakhUGIRWhNgjnVoIvA0gBoairsUvwtb5OA0cdeEkeTqo//LplkuXq9w6Mo1dYjIWhrsiqisBItBLkpSVQMNGMCLVkvBmyY6RBFCgWhiVlabHAWFLndKWRZGxQF2p9qJsTKkkzDkgCRTPSOOtOKmjyOxM9z/POHB98bXCVsZTW8fgdbe6dGdCIFYkOGBQl0wtD9mxv0GpoQiXJS4MCmqFiWBjSSBEqwWxVUpbQTiTtOGRQ5CAcoYGs8rNfp2ppMnFl52gaQmmW/h52u+Uq91IJojAkjgQg2N7WtIKAA3MZB+Zzzp9oEAeCfl7vbOzEAWPNmGYU4IBEK8JAkBeWQNfV68/b1sI5x8GFnGYs0VLTijXCQRRISusYTfVJBU1+Z6Lned6Z4YOvDW4592bPaEqkJdMLOb2iJERw4Y42542mfGd6kcq4pRY0AiGgEWrKymBFneAdiLryuFKCQAVoUVDYOmDw211PTQBEGvIKlIZ2rAmUpDssmM/q1zhRoFQ969gI1VJF+oBGoGiEIcPKEoSC3WMNzhtvkVcOJRW7RhO2t2IWs6peNrQOhyMJAvaMhjTjgF5WMigsuTFMdgTbbUTpLGXpiCNFKwwYSYOTDpqOVane8zzPOzU++NrglnNvnIA94022t2Iq6zDGEgUaper+k7vHmyxkFffP9Tm4mNGOYVgpyqrCGEcYKqSQJFqjpaQ/LHAS2lH9HGXp6Jf1zExB/a/Az4gdTlDPXlXUARfUgWsaQScNGeQVgQStJdubEYEWIHLKCsZSTRxpmqGmm1fk1tKMAx430aQRaWYGOe1Es3u0yVQ7odMIKCvDfFYRBxopJfODgn5RMdmM2dGJV0pEJKFeVboB6qDdWbfUbP3Ui6OeyonCl5XwPM9bzQdfG9zhuTfGWIQUdY9AIWiEkoWspBkHaCXYOZIgRF1O4r6ZHhKJFoIg0HSigEDXM2PzQ4vTElNYRAlBCFKBLEFKiGy9M9I4yN3ZGYAt92GEw5YLqTcxxLJ+nYqyns2Kgnp5N2yEpIFGKsHFO9o81M+5RyuMc7STgE4SsT0NuX92QM8YxtKQsXZMJ67v044Dptoxu8cS4lBTVhZEhnN1Ht9kOyaNFGONiDBYvQvxyABpI/xin4kirZ7neVvBRjhHe4+iFQXMDwoenB+SG0e0FGg1Qs1CVjHaCJkfFIw2QwpjWRwWHFhU7GiE9HKFzipKY3HG0lABgZKIymJdvQxW2roemACkqwOxQIMp6511hwciZ4vlWS4JJAGUVf0aaAWxhjhSDHNDFMqlQqgJgYBBaRhJQy49Z5RDvYJGFKKlYDwNWRgW9ApDOw14fKfJRJowmgT1zFXlsMLRaQTEYf1raZxjPI2YbEenZQbr0ZzuGaqFYbFSpLURKkpjVxL4T7VIq+d53mbmg69NoJuXFMYxNZKghMQ4S2Ecg7JCS4EKFCauZ0qasaaThFy0vc1EGrGQF0wv5MwMc8rKUTlDUVqsECSRI88BA8YCAioHWkBWLrW8We+DX2PLy62wFHhpaDc0ZVkxrEBLCANJrDTtVkAYCs6daLGz3UBJy6FewXgzJqscE82I87Y16BeGQ92C0tZziGkYsWMkoZ0ExIGmGWuUhKJ0hEIwKCqcdZTWsb0VrQRjZ8qZmKE600VaPc/zNjMffG1wR3sTA0VWGga5JVKCb+/vMjssKJeSrpNA8rwLt2GoZx/GkiFf2294qFuQSNDKEQeKblbhRB14FYBwEALSQmbPzr6Py7W4gqV/CwNz/YpQQ6jqvpjGOBotxbnjTTpJQGVgbpChA8V4M+aCySbNOGBXJ6HZCKmM5cH5Pt94AGYHJeONiH5pqFzJRFMQBxHtJMAay6FBQd7NV2Y3W1FwxnOmzsQMlS/S6nmed2z+/LfBHf4mdvib8PKb2KComO3nZFUdeGWFYW5QMtYKuWCizfywYCGr18ykteQIKiOwtl52PHyWx1K3HcrPxiSvJctLrBX1L0fpYFhBE2hogbUOJwTNSDM5EtOKA+6a7pNV8ORtLc4Za+AczA9LRtKQ5tKDLgwNw9zSjgJG04CkUCzmJbP9ktHEMJIE9I2jHdfLwkEgyUrLfXN9hBBnLGfqeDNUs/2CUEsirU466NvsRVr9JgHP884kH3xtcEoIJHCol1FUduVNONSSSCoOdgtaSUhYGaQMqSpHaXp85Z557js0ZG5Q0M8Nc726N2BuAGeprKVaqjPhdzU+zB327+E1uvIKTOUQCgLneGA+p6xmuWh7i0grEPV9klARh5pD3YzpxYxmqLHAgfkhs8OcUCoGlSEQgkakiKUk0oJ7Z/vM9UuQdUHdqU6MloL9ixV7xxt16ZAzkDN1tBkqax39vK6an1eWRqhOOujbrEVa/SYBz/PWwsY8A3ortJIIAfvnhxTGEipFYezS14ZqqddjEmpw0C8qtrUihLV8c/8Cs8OSdiOgHUsqYxkWFb3M0CtgaGHgfJPtE1EBTtS7HJ1xZFXJTK/i7vkBhbUI4cgrw8HFHAGkUV3ktHKOYWGYG+QMckMcSpphgBCCB2aHPNTPmO5mfP/QgFBLOnH9Jn/nwT73HOrXgbaq64Itz04tDisqc3rC5cNnqJYtZiXTixmBkjRjjRCC6W7OwvDkeiF0kpDtrQgcDIp69nWjF2ldXoIVQtAIH/uxe57nHY+f+drgKmNxwI5OQmmXWgppRbNTN00Gx6A0hIGq60wtLUdWDppJwK6RBOkE/dJRIgmUw1bmrNzB+GiOVel/eU4oUBBpgbGO0ClGWiFF6ehlJboRIqg3RwzzEiklE82YXSMJg6KiGWrGmiEgKI0hrwwLWcnCsEBJRSupv5/BUhHc0jj2zw8Yb0XIwz4ine6cqSNnqARwqFf/f7wZ1bN6S042UX6zFWn1mwQ8z1srPvja4IxzWAcTrRhHXRJCShDUu+J2tmP2LwyZ7ztyU6eLd7OlNxBX16Ba6BcM8gpJPYNTAcWR3Z/PcgF10/HK1suNyz0Yk6Wq9FZCJ1YoKenmhnaiSUPFwqDEWEdlLQ/MZ4w0ArY1I7a1YsbSsK7XZR0jrQitFVlhmO0XLOYVaahpRZI4UAhgflAwlkb1DlYhGFYWLQX6sOjrTORMHd5GqF/Ws2qT7Zh2Eqzc5lSCvlMt0rpW/CYBz/PWij+XbHCHLwvFgVpZKM5KQyAl52xrURjLN/Z3WRgWNELFjnaMsY68tGRFRbesSCLNbD+jlxmc9evNUM9o6aXyGoGuC8sKC6GDJJQI6WjFIcZY+mWFk4I0CploCkYaIQ91C5QSTLUjAiVZzEpiLUlDxfkT6UpQE0jBeCOkESgqUxfInWjFJGGduyeWAikpRJ2LZwWlM+ztJDQiXX+vz2DO1OEzVHlVP1egJPKwAG+zJMqfis2+ScDzvM3DB18b3KMlLseR5sm7x5gcibnrYJ8HFoZYoB0r7uvlLOQlpXFkRUVpHKEEpwRl5RBnYR2vZSNB3YcxVgrjDIkSVFJhDARaMJKEhErgnKDTCFHC0s8taRLSTjRZZki04ZzxiMlOg35ecV4r5ql7RtnRSeg0Hk7QjkPN7rEGdxzskkSS8WaIEpBXlr3jKQB3HuyhtaSThJTW4Jzi8btajKXRmjW21kqilWQ8tZsuUf502KybBDzP23x88LUJLL/ZzvYL+nlFpFe/CUsp2NFJwUKvqFgYljgEpbX0hxVCCRqBYqodU1SW2UFOXxgkdS2vsyH/K6RebrVAAxhvB1gLjTAgCiTnjqWEAcz3SnJrkaJ+Ix5tBIw2IkZaAVluGVaW+UFOI9CcM5awvRMDglBJdo7GnDPSoHLuEUtUu0frIOv+2SFFZYmV5PxtKTs7DRCQV4bpxZxBUdEIFBfvaLN7NEVrueY5U4cvQ65F0LeRnM3H7nne2vHB1ybicAhR/3ukylimuwVa1m/WzjnOm2gzNVKRl4ZuVjLIKx5cGLKYVQTKUJg66NpKZSYU9Q/14Ts4QyAJISvqfC6tQaAYaShaccie0YRnXjBBXsJ8lvO48SY7RxNasSaNNM45jBNESpAbw/ce6iOc4GA3o6wsYSBJQ00USEpb70g9colKa8l521rs6CSc28uZ7xe0GyFiaZlrWyvhcduaNOOQQIpVVe3XOmdqsyXKn05n87F7nrd2fPC1CSxvfw+kIA4kzrpH1HsaFhX3zfUpjKWbWZyzlNYiRV2lvags090MY6ERShySbmG3TOClqWe2YlHnb9ny4cR5Q13FXyzdLgqgEcDusQbb23WPzFBrRhLJ3m0JT5zqEAZ1pfdeVrKQ1Uu3gRKkoaIdB4RKksaKh7oFcSgRCCpjKY1lonnsJao41OwaUTQjfdTZlY1US2qzJMqfCWfzsXued+b588sGVxnLXL8grwzdI4qszvfLle3vi8OS+WFJI9BI4cgqyz0zPbLKUpWGXl7RyyucA+ccw9xuifZBkvqHuBnUdbi0VuSlIZB1m6SKejYs1A/3bRxJEyY6CZlxJIHiCTvaxIFkJI3YORKTG8t0L+ehXsb+uZxQC9JI0c8NReVoxnWS/GgaMpGGLGQlg6X6ajs6yaolqqNVSvezK57neWc3H3xtcMY55of1kmESaZJAUVnL4qCkMo6dLgFjGVaGiTRiMSvpDioGVYVzgkPdnKyqqKxAIcDVgZlZ6uNYsnnzvULqMhBJAI1QYaQEZykNhKK+rrSgBLSWipe2QsXusZSxdoxcKu9vnUMgGGsE5KVlfljUJToGFcOywjiJW3rdisoShyETzYDZfslIEjDZjmlGmtFGSLhUH+pEKqX72RXP87yzkz/3b3DOurpGlxIrBS+VVORV3cfRWYeRYB10Es3+xYyHBhndrGKYlRhjCaVCSIep6lpgUiriwDLIDdbVs0ObTQyMNQXGOJSWKOkIBFROoKQgkPUmg8ICOJJQMtGK2TuaEseKJNBsb8YkkSSUkkYo6RWG/QvDurJ7aOlmBSONEItjplsw0YpohDAsDKONiE4jxBrYNZKsytGCM9Os2vM8z9safPC1wQkpSCLFoLDklUFLSWXtSu6WWC7ImRuGhWXnSEx3UFKVhgPDCuMgDgQRMJ3XPfuAui3RJg28EmBqRBGHAYVxYKEV182f+4WhE2tCHSCWiqbWLX0021sxY82ormKuHXEgiZWiW1Q0jUYKQaQUSgkO9QoGuSUJQSGX8ucE1jmcqP8mWjNwFeKIPC1fKd3zPM87Hh98bXBKCEYbIYGsKK0jKw1aCTqxphUHh+2qc0gp0FaShIqdYw2ywjLdz4ikpFsYyrJibpCDo879WtcjO3HtAIQDocBaaCaaJIqQAkIsjUizZ1vMeBryrf09CmNJAk2oJbGSpJHCCoEA+kVJGko60VK+lRKkSrG9nZCEimBY99JsJhq1CP2sROu6wGZWGox1jCQhkVLHLL652SqlHy0vzfM8zztzNtJ7gHcUWklGGyGlcaRKoITEOEtlHCONegYlrwxJpJFScM+hAY1I0c0crUQhVcyhxYyHFnMshlBBv6iDmI38NhsBaQha1U2qnRXoQJIZy/Y0IggU872cZhwwmoa04phOGnHhNiisJZaSXmVphoqqsjQSzVQ7YSGraAWaVlrnzzVCTRrX/yopaMWamV5RB7hpQFbUy7vNSDIsKhqhYls7oloKhI9WfHOzVEo/kbw0z/M87/TzwdcmcHjhx9LWb+BjLb1yuRJ1kU+BYCQN69Y4LuOAE2SlxUlItKSwijBwGFthLQyK9TyqY5PU+VyjjZgkUAgJkZYEqt7JWAnoZSVBoNg7ntBpREs7DyOSQLIwKBnkjk7gmByJaGlF2gjYM9KglxuqpVkeKUW9W1I8HCgt9zOc6eUkgWaqHYMTKC0wlUOqeqcpjmMW39wsldJ9Xprned768MHXJnBk7z2ASKtVsxNJoOhmOb2sZHFYEgeSbc2A0jgWhyVaC6yRNCPN9jTi0CCjNAZhIFuvAztMQL0MGirY0QnYPtIgFJJOIyQKBLtGG4wmIYuF4YGZLnPDklhKdoymjKch1kFuLL2sYrZfsL0Vs2ssIdSaYVHRjgN6uWXHSEIUqJVltso65gfFSi5coOpG1yONkPE0ZLxZByHLtz/8/8cLojZ6pXSfl+Z5nrd+fPC1SVjr6GblqiWiVqzBQTevKIwlLysOLAxYGFakscZQN2oOAkkr1mglONgtiULFuIspyyHdzCLN2la5Fzy85GmpS0akCTSUZDSNedZF2xhJQnJjyApLpCWR0qRxSCeBojSkUcn2dozWCucc1loeWBgyn9XteVqxJgoUsVa04zqZflgZhBSrSjwI4UhCRScOyEq7Eihta4U0o3oW7MiSECfyS7PRa3lttrw0z/O8rcSfXzeJoy0R3fVQDxBsb8c0o4DusMS4uvRBqBUPmiGhFjQjDU6QBBKLoz+wCC0ZSTTGFRQDKDj9PR5DoJ3UFfb7S0ucWkAoIV9qbZSGMBYLkkaCFvCEHW0u3N4mDRWLWcX3prtoJdneDmlEkm5W0WmEtGPNaDNECcnBhYzpxRwpYddITKhkvQvSUTexlpLZfo6SAmdXH2FpLJFSKzNcy1Xt+7lhYVgdMw/qRJPUN2otr82Sl+Z5nrcVbcT3Be8IR1sicgiKyiFEPQvmnKO0jtEkIgrqmlZC1Lsiv/tQFykExlicEQxMRSQU7SQkjgICOWBYOfIKiqouvPpYSeoaXE7UyfJCSVRlGUvqoqe9YqnavARroBVqxtsx25oxjUTTjAIagcRYR2UtE62IHZ2Ybe2EorL0c8NoEmCB0TggXwqylII9YymdJKRY6gpwYCGjFQeEgcQBu0djSuvoZyViKRArrVuVh9XNSmYH5THzoLZKkvpmyUvzPM/binzwtQkcbYnIWpBC4HAY9/BszkQzZLqXU1mLVpIw0IRKIgU4IZkaiZloBcwPS7LC0YkUzThgpjtk/2JOUdUzVpY6kLLUM1QCCAQECvpLxcEU9deVhcLVtx+JQUtJYSxpAEmomKssFsm2ZsTuUGAdHJwf4qRiz1jCaCsikIrxpd2bUgiSWLNjNMY5x6FegaM+fomgV5ScM5LQSSN6WUkaa5pJygXbW1hXJ8uPpiFzg4IHFzImWxHnb0vZ1WnwwMKAB+eH5MYRKcHOkYTW0vLiieRBdbNyyySpb/S8NM/zvK3KB1+bwNGWiKRcaosjWFki0lJQaclYM0JJQV5UPDDXRwjJeBqRFRWDytJKIlpRPVMzKAzzWUGkUkrrgALhQC6VtbDOYqwj1JJ2o95ReM+hPllV0dCKgTEUOWgHcSxIQ01pHGORZqoTMTGS8sChAVo72knAOSMp092M0kIoFds6KUpCICQgmOw0uGhHi23NGIfj4GJOFGjKylFay2gaEmhJqBWjaUAaagaFwTpHEgYszz3N9QtcI6STBDxhqsWOkQYLw4LCOKZGkpWSHYVxdPOSUR09ah5UXpktlaS+0fPSPM/ztioffG0CR1siqowj1HWr6Mo6AiUJtWSml7OjkyAEJJFiRyehX9Q7ACuruHA0ZawVMtMt6BYl21ohIwPN/m7Btna9wzA3FiElo2lIpBzTiyWBlIy2IlqJpqwM3cwQBoJmWbGgLELASCOgGQdUlcNaRyeN2dNpMNmMsMaSGYuzEOuAiWbMoKgojGEkDJBCMDcoecIORXdY4cgoKsdD3YxtrZjRlsaJuthqN6/qnpWFJQ01F25vcs/MYKmAakAUKNqJZrITMdqImOwkWOceETiBIivNSuD0aHlQwJZMUt+oeWme53lblT/nbhJHWyI6f1sTHPRyw6CoaIUBrUlNZR0PzA9pxQG7xxo8tJhTlot0kgApYJhbulnJ/oWM7c2Ii6ZajKU53w81RSfBWINEEEQKa2A8rbhwe5PJ0YSygspV3LG/x6A0YB0HF4fkRtAMJc04INaSXlFy3kSTi3d1qKzl/tkhw7Kkm1eEWnDhVIvesKRfWIZlXQx1WyvCOcfdM30u3dWhGWvm+pLpxQw1kjDSqF+DlLru11QnrktuiLqf4z0zAypTEGtFpxHW9dDScKUQ7aMFTpFWx82DirQ66SR1Xz3e8zzPO5IPvjaJ4y0RdRqr3+D7eZ0MnoZ1uQVjHWGgWRjkZJUjDQ1ZaRltaKQSCCHYM9Hi8Ts6REuzQoWxLA4rrHVMdkLSKCTSCqUgLy3NIGD/Ys6hXoaTgmagcNT5aYvDkoVBRXdYMCwrGpFmPA0ZFBItJY1OXU1+MVTgJAhHURr2jjexApSFUEkirZhoReyfHy4VPa2fo5+XjKX1eJZfg73jTZqRZm5Y4hx1iYlkdSHaEwmcjpcHJZeS608kSX2rJOZ7nud5p58PvjaZoy0RHXlZpNVKoAIwkoTs6ETMD3KcdQyrehfhWDMgLywGt5LoPtGMUEsJ8zvagpFUM5pEdPNypcJ+WVp2jaXsHG3wnQNdHpwb0i8rJNCIQxqRphEo+qXhzuku5403GUlDolCxayxhqp1w7+yAXl5RWIsWkijQNCNJv7CkDb3SrLqdBFjrmO5mdLM6kME5FrOKrBysCmi2tRNG0+ioM00nurvv0fKgTjRJ3VeP9zzP847FB19b0NECjfFWRHsu5NwxTSUEiZJ08wopBYGqm3QPiorFrGJHJ2LnaLoq8BjVD1fY38+QjgoRAkrrmOokfGv/PAcXc0aUoN1q8LiJJkoKDvXqJPdGoDh/ooGQAiUl529LKa2hOzAU1pBoRSeNULqq+ywuzURJIWhEmnN0gziQdQHZSK8ET9PdemdnOwlXxnusH+qT2d13rMc5kSR1Xz3e8zzPOx4ffG1RRwYanSjkgskU62B2UFC5erYrXErU72YlWWlwwDA3aCkZb8arHlMruVTWQhAoiXOOOFAoKdkzlhIoxe7RBmGgUEIw3gyZbBWkSchF25u0GyFz/Zzpbk4aBVy4rc19832sEUx1IlqRRoq6ZEVl6xpmy7NTY42AfmFII70S0AghWRgU3LE/Z6IdEWl53KW907m773hBnq8e73me5x2Pfw/YoqxzNCK91Jha1MFQK2T/wpA0Usz3S+aqEmMhrwzDwjLZjmgnIb285GA3Ryv5iCWyw3On4kDRigOmFzOMpc4XWyrm2k5DHBAEitFGQCOqf9SWg8L5QcmwqhBW4Jxl//yQh6RgtBUSSsn8oCAJFZFSbG9FxIFiIatWBTSLw5KFrMJRl8IQQpzQ0t6Z3t3nq8d7nud5x+ODry2mKA1zg4LuUqPowxO9VwKffklZWWb6BUgLCCbbEWPNiNLU5RsagTrqEtmRS5ppqOk0Aub7JZkuGRYVE80IKQTdYUka6ZUdh/Dw7FNlLP1Cc9FURL8wHFgYIoWgHdU5Y/28ohMHjDfrfKzK2FUBTWXrKvZVZQiUrCvrBxtjac9Xj/c8z/OOxwdfW8Ty7rp7ZwY8tLQzcCwNUaFaNRvUSUIqaxm3dfuhmV69BNmMA0pjyUvDeDMiDvUxl8gOX9LMjKETh/yH8yJKZ5lezOlmFUVVF0Q9ZyR5RE5VHXiZOkCSgtlBwdhSb8VBaWg3AtJIk5UPt/s+PKCx1jE/LPj3A4v0spLRRkhhHDs7Mc04IDNm3Zf2fPV4z/M871h88LVFLAwL9i8M6RUV7SRAybpo6bgUxIfNYnWzktl+nQx+zmhKFEi+82CPg4tDptoJ482IdhxQHGeJ7Hi5U1PtBnllAFaVgjjc4TlRlbVU1pEszVplpcHao+dHLQcu984OuGu6Rz+vZ9najZCFYUFpLDtGYjpxuO5Le756vOd5nncsPvjaApZ31wVKoqSo63EtJZz38ookVBTGHrU9zs6RFBw81Ctox5p0KfA6kSWyY5a9eJQg4/CcKC3r/1fWLt1fIOXR86OkFLTigDhQjDUjOo2AvHL17ULBIK+YXszY0Y43TKDjq8d7nud5R9oY71DeKVmeSVquwL4SyMi6DVFerm6PExwRmGxrJUw0I0AwKCpwnNElsuUlxKxcrjqv6Q5LusOSRrDc8qekET0ykDPOYawj1orxZsxoI8ABlXE44WjFmmYcnJFxe57ned7p4D+UbwHLM0kOaMUBM706x8tYh7GW0lgmmuEx2+MY5xhPIybb0crOyDM9c3R4TpRWgtE0xFlHrygpeo4kqns8apmvKh2hhCDUEusc1jnaSUgaOYZlRVlpJprxI4JLz/M8z9tIfPC1yRytV+Dhyeihkow0QuYHBf2iYrIZs6MTn1B7nDg8uR+Hx9q3cPl+rThYlRM118852M0ZbyjiUB+1KrxWkvG0rhfWHZaYqK7jny3VADt8Z+VG5ns+ep7nnb188LVJPFqvwMNnkkItmWzHpJFirBERBg/Pcp2OXXiPtW/h8e5nnVvZAfloVeE7Scj525o8MDtkblggEMfcWbnR+J6Pnud5ng++NolH6xV4orvrTscuvMfat/B492tE+oSrwkspGG/Ws3mPtrNyo/E9Hz3P8zwffG0CJ9Mr8ER31z3WXXiPtW/ho90vCY6ej3a8qvAnsrNyI/E9Hz3P8zzwux03heXdjEcmkgdKUlq71G9xY4/l0e4nlpbfstKQlQZj3cr/24neEkHJRvo+ep7neetn87+jnQUOr4t1uPXoFfhYx3Ii9+skIdtbETjWpOTFWttI30fP8zxv/fhlx01gI/UKfKxjOdH7beWq8Bvp++h5nuetHx98bRIbqVfgYx3Lid5vK1eF30jfR8/zPG99bNX3uC1nI/UKfKxj2UjHsF78a+B5nuf5s/5j8Cd/8iecd955xHHMZZddxuc+97k1e26t5IYpq/BYx7KRjmG9+NfA8zzv7OXP/Cfpox/9KFdffTW/8Ru/wVe/+lV+6Id+iB//8R/n3nvvXe+heZ7neZ63CQjn/P72k/HMZz6Tpz3taXzwgx9cueziiy/mZS97Gdddd92j3n9xcZFOp8PCwgLtdvtMDtXzPM/zvNPkdL5/+5mvk1AUBbfeeitXXHHFqsuvuOIKbrnllnUaled5nud5m4lPuD8Jhw4dwhjD5OTkqssnJyc5cODAUe+T5zl5nq98vbCwANQRtOd5nud5m8Py+/bpWDD0wddjII4ohumce8Rly6677jp++7d/+xGX7969+4yMzfM8z/O8M2dmZoZOp3NKj+GDr5MwMTGBUuoRs1zT09OPmA1b9uu//uu8+c1vXvl6fn6evXv3cu+9957yN28zWVxcZPfu3dx3331nVa6bP25/3GcDf9z+uM8GCwsL7Nmzh7GxsVN+LB98nYQwDLnsssu48cYb+amf+qmVy2+88UZe+tKXHvU+URQRRdEjLu90OmfVD+2ydrvtj/ss4o/77OKP++xyth63lKeeLu+Dr5P05je/mX379vH0pz+dZz3rWVx//fXce++9vO51r1vvoXme53metwn44OskveIVr2BmZoZ3vvOd7N+/n0svvZR/+qd/Yu/eves9NM/zPM/zNgEffD0Gr3/963n961//mO4bRRG/9Vu/ddSlyK3MH7c/7rOBP25/3GcDf9ynfty+yKrneZ7ned4a8kVWPc/zPM/z1pAPvjzP8zzP89aQD748z/M8z/PWkA++1tCf/MmfcN555xHHMZdddhmf+9zn1ntIZ9R1113HM57xDFqtFtu3b+dlL3sZ3/nOd9Z7WGvuuuuuQwjB1Vdfvd5DOeMeeOABXvWqVzE+Pk6j0eApT3kKt95663oP64yqqor/7//7/zjvvPNIklneEWoAABBjSURBVITzzz+fd77znVhr13top9VnP/tZXvziF7Nz506EEHziE59Ydb1zjne84x3s3LmTJEl4/vOfzze/+c31GexpdLzjLsuSt73tbTzpSU8iTVN27tzJq1/9ah588MH1G/Bp8mjf78P90i/9EkII/uAP/mDNxnemnMhxf/vb3+YlL3kJnU6HVqvFD/7gD3Lvvfee1PP44GuNfPSjH+Xqq6/mN37jN/jqV7/KD/3QD/HjP/7jJ/0N20xuuukm3vCGN/CFL3yBG2+8kaqquOKKK+j3++s9tDXz5S9/meuvv54nP/nJ6z2UM25ubo7nPOc5BEHAJz/5Sb71rW/x+7//+4yMjKz30M6od7/73XzoQx/iAx/4AN/+9rd5z3vew+/+7u/y/ve/f72Hdlr1+31+4Ad+gA984ANHvf4973kP733ve/nABz7Al7/8ZaampnjBC15At9td45GeXsc77sFgwG233cbb3/52brvtNv7mb/6GO+64g5e85CXrMNLT69G+38s+8YlP8MUvfpGdO3eu0cjOrEc77u9973s897nP5QlPeAL/+q//yr/927/x9re/nTiOT+6JnLcm/sN/+A/uda973arLnvCEJ7hf+7VfW6cRrb3p6WkHuJtuumm9h7Imut2uu/DCC92NN97oLr/8cvemN71pvYd0Rr3tbW9zz33uc9d7GGvuRS96kfu5n/u5VZf99E//tHvVq161TiM68wD38Y9/fOVra62bmppy73rXu1Yuy7LMdTod96EPfWgdRnhmHHncR/OlL33JAe6ee+5Zm0GtgWMd9/333+927drlvvGNb7i9e/e6973vfWs+tjPpaMf9ile84rT8bvuZrzVQFAW33norV1xxxarLr7jiCm655ZZ1GtXaW1hYADgtfbE2gze84Q286EUv4kd/9EfXeyhr4u/+7u94+tOfzs/8zM+wfft2nvrUp/K//tf/Wu9hnXHPfe5z+ed//mfuuOMOAP7t3/6Nm2++mZ/4iZ9Y55GtnbvvvpsDBw6sOsdFUcTll19+Vp3joD7PCSG2/IyvtZZ9+/ZxzTXX8MQnPnG9h7MmrLX84z/+IxdddBEvfOEL2b59O8985jOPuyR7LD74WgOHDh3CGPOI5tuTk5OPaNK9VTnnePOb38xzn/tcLr300vUezhn3kY98hNtuu43rrrtuvYeyZu666y4++MEPcuGFF/LpT3+a173udVx11VX8n//zf9Z7aGfU2972Nl75ylfyhCc8gSAIeOpTn8rVV1/NK1/5yvUe2ppZPo+dzec4gCzL+LVf+zWuvPLKLd/z8N3vfjdaa6666qr1HsqamZ6eptfr8a53vYsf+7Ef44YbbuCnfuqn+Omf/mluuummk3osX+F+DQkhVn3tnHvEZVvVL//yL/O1r32Nm2++eb2Hcsbdd999vOlNb+KGG244+TyATcxay9Of/nSuvfZaAJ761KfyzW9+kw9+8IO8+tWvXufRnTkf/ehH+Yu/+Av+6q/+iic+8YncfvvtXH311ezcuZPXvOY16z28NXU2n+PKsuRnf/ZnsdbyJ3/yJ+s9nDPq1ltv5Q//8A+57bbbzprvL7CyiealL30pv/IrvwLAU57yFG655RY+9KEPcfnll5/wY/mZrzUwMTGBUuoRnwCnp6cf8UlxK3rjG9/I3/3d3/GZz3yGc845Z72Hc8bdeuutTE9Pc9lll6G1RmvNTTfdxB/90R+htcYYs95DPCN27NjBJZdcsuqyiy++eEtvKgG45ppr+LVf+zV+9md/lic96Uns27ePX/mVXzmrZj2npqYAztpzXFmWvPzlL+fuu+/mxhtv3PKzXp/73OeYnp5mz549K+e4e+65h7e85S2ce+656z28M2ZiYgKt9Wk5z/ngaw2EYchll13GjTfeuOryG2+8kWc/+9nrNKozzznHL//yL/M3f/M3/Mu//AvnnXfeeg9pTfzIj/wIX//617n99ttX/j796U/nP//n/8ztt9+OUmq9h3hGPOc5z3lEKZE77rhjyzedHwwGSLn6VKqU2nKlJo7nvPPOY2pqatU5rigKbrrppi19joOHA6/vfve7/N//+38ZHx9f7yGdcfv27eNrX/vaqnPczp07ueaaa/j0pz+93sM7Y8Iw5BnPeMZpOc/5Zcc18uY3v5l9+/bx9Kc/nWc961lcf/313Hvvvbzuda9b76GdMW94wxv4q7/6K/72b/+WVqu18qm40+mQJMk6j+7MabVaj8hrS9OU8fHxLZ3v9iu/8is8+9nP5tprr+XlL385X/rSl7j++uu5/vrr13toZ9SLX/xi/sf/+B/s2bOHJz7xiXz1q1/lve99Lz/3cz+33kM7rXq9HnfeeefK13fffTe33347Y2Nj7Nmzh6uvvpprr72WCy+8kAsvvJBrr72WRqPBlVdeuY6jPnXHO+6dO3fyn/7Tf+K2227jH/7hHzDGrJznxsbGCMNwvYZ9yh7t+31kkBkEAVNTUzz+8Y9f66GeVo923Ndccw2veMUreN7znscP//AP86lPfYq///u/51//9V9P7olOeb+kd8L++I//2O3du9eFYeie9rSnbfmSC8BR//7pn/7peg9tzZ0NpSacc+7v//7v3aWXXuqiKHJPeMIT3PXXX7/eQzrjFhcX3Zve9Ca3Z88eF8exO//8891v/MZvuDzP13top9VnPvOZo/4+v+Y1r3HO1eUmfuu3fstNTU25KIrc8573PPf1r399fQd9GhzvuO++++5jnuc+85nPrPfQT8mjfb+PtFVKTZzIcf/v//2/3QUXXODiOHY/8AM/4D7xiU+c9PMI55w7uXDN8zzP8zzPe6x8zpfneZ7ned4a8sGX53me53neGvLBl+d5nud53hrywZfneZ7ned4a8sGX53me53neGvLBl+d5nud53hrywZfneZ7ned4a8sGX53me53neGvLBl+d5W9rzn/98rr766pWvzz33XP7gD/5gzZ7/ta99LS972cvW7Pk8z9v4fG9Hz/POKl/+8pdJ03TNnu8P//AP8Y1EPM87nA++PM87q2zbtm1Nn6/T6azp83met/H5ZUfP89bF85//fN74xjdy9dVXMzo6yuTkJNdffz39fp//8l/+C61Wi8c97nF88pOfXLnPt771LX7iJ36CZrPJ5OQk+/bt49ChQyvX9/t9Xv3qV9NsNtmxYwe///u//4jnPXLZ8b3vfS9PetKTSNOU3bt38/rXv55er7dy/Yc//GFGRkb49Kc/zcUXX0yz2eTHfuzH2L9//wkd55HLjs9//vO56qqreOtb38rY2BhTU1O84x3vWHWf+fl5fvEXf5HJyUniOObSSy/lH/7hH1au/9jHPsYTn/hEoiji3HPPfcRxnnvuufz3//7fV16LvXv38rd/+7c89NBDvPSlL6XZbPKkJz2Jr3zlK6vud8stt/C85z2PJEnYvXs3V111Ff1+/4SO0/O8E+eDL8/z1s2f/dmfMTExwZe+9CXe+MY38l//63/lZ37mZ3j2s5/Nbbfdxgtf+EL27dvHYDBg//79XH755TzlKU/hK1/5Cp/61Kc4ePAgL3/5y1ce75prruEzn/kMH//4x7nhhhv413/9V2699dbjjkFKyR/90R/xjW98gz/7sz/jX/7lX3jrW9+66jaDwYDf+73f48///M/57Gc/y7333suv/uqvntJxp2nKF7/4Rd7znvfwzne+kxtvvBEAay0//uM/zi233MJf/MVf8K1vfYt3vetdKKUAuPXWW3n5y1/Oz/7sz/L1r3+dd7zjHbz97W/nwx/+8KrneN/73sdznvMcvvrVr/KiF72Iffv28epXv5pXvepV3HbbbVxwwQW8+tWvXlkS/frXv84LX/hCfvqnf5qvfe1rfPSjH+Xmm2/ml3/5lx/zcXqedwzO8zxvHVx++eXuuc997srXVVW5NE3dvn37Vi7bv3+/A9znP/959/a3v91dccUVqx7jvvvuc4D7zne+47rdrgvD0H3kIx9ZuX5mZsYlSeLe9KY3rVy2d+9e9773ve+Y4/rrv/5rNz4+vvL1n/7pnzrA3XnnnSuX/fEf/7GbnJw8oeN8zWte41760pce87idc+4Zz3iGe9vb3uacc+7Tn/60k1K673znO0d9vCuvvNK94AUvWHXZNddc4y655JKVr/fu3ete9apXrXy9/Dq+/e1vX7ns85//vAPc/v37nXPO7du3z/3iL/7iqsf93Oc+56SUbjgcntCxep53YnzOl+d56+bJT37yyv+VUoyPj/OkJz1p5bLJyUkApqenufXWW/nMZz5Ds9l8xON873vfYzgcUhQFz3rWs1YuHxsb4/GPf/xxx/CZz3yGa6+9lm9961ssLi5SVRVZltHv91cS8xuNBo973ONW7rNjxw6mp6cf20Gz+riPfLzbb7+dc845h4suuuio9/32t7/NS1/60lWXPec5z+EP/uAPMMaszJAd/hzLr+OxXtupqSluvfVW7rzzTv7yL/9y5TbOOay13H333Vx88cWP9XA9zzuCD748z1s3QRCs+loIseoyIQRQL8VZa3nxi1/Mu9/97kc8zo4dO/jud7970s9/zz338BM/8RO87nWv43d+53cYGxvj5ptv5ud//ucpy/K443SnsIPxaI9nrQUgSZLj3tc5t/K6HH7Z8Z5j+fbHem2X//2lX/olrrrqqkc81p49e447Js/zTo4PvjzP2xSe9rSn8bGPfYxzzz0XrR956rrgggsIgoAvfOELK8HC3Nwcd9xxB5dffvlRH/MrX/kKVVXx+7//+0hZp8D+9V//9Zk7iBPw5Cc/mfvvv5877rjjqLNfl1xyCTfffPOqy2655RYuuuiilVmvx+JpT3sa3/zmN7ngggse82N4nndifMK953mbwhve8AZmZ2d55StfyZe+9CXuuusubrjhBn7u534OYwzNZpOf//mf55prruGf//mf+cY3vsFrX/valaDqaB73uMdRVRXvf//7ueuuu/jzP/9zPvShD63hUT3S5ZdfzvOe9zz+43/8j9x4443cfffdfPKTn+RTn/oUAG95y1v453/+Z37nd36HO+64gz/7sz/jAx/4wCltAAB429vexuc//3ne8IY3cPvtt/Pd736Xv/u7v+ONb3zj6Tgsz/MO44Mvz/M2hZ07d/L//t//wxjDC1/4Qi699FLe9KY30el0VgKs3/3d3+V5z3seL3nJS/jRH/1Rnvvc53LZZZcd8zGf8pSn8N73vpd3v/vdXHrppfzlX/4l11133Vod0jF97GMf4xnPeAavfOUrueSSS3jrW9+KMQaoZ6j++q//mo985CNceuml/OZv/ibvfOc7ee1rX3tKz/nkJz+Zm266ie9+97v80A/9EE996lN5+9vfzo4dO07DEXmedzjhTiVxwfM8z/M8zzspfubL8zzP8zxvDfngy/M87xQ0m81j/v3c5z633sPzPG8D8suOnud5p+DOO+885nW7du161NIRnuedfXzw5Xme53met4b8sqPneZ7ned4a8sGX53me53neGvLBl+d5nud53hrywZfneZ7ned4a8sGX53me53neGvLBl+d5nud53hrywZfneZ7ned4a8sGX53me53neGvr/Aai8d0vymrdeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind = 'scatter', x='median_income', y = 'median_house_value', alpha = 0.1)\n",
    "plt.axis([0, 16, 0, 550000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 50万美元是一条清晰的线，被设置上限了， 45w，35w，28w，也有虚线， 可能是异常值，我可以在后期把数据删除掉"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "   1. 在给机器学习算法输入数据之前，我们识别出了一些异常数据，需要提前清理掉，也发现了不同属性之间的某些联系，跟目标属性相关的联系\n",
    "   2. 某些属性分布显示出了明显的“重尾”分布，对进行转换处理，计算其对数\n",
    "   3. 在给机器学习算法输入数据之前，最后一件事儿，尝试各种属性的组合\n",
    "   4. 每个项目历程都不一样，大致思路都相识"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 试验不同特征的组合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
       "      <th>income_cat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-122.23</td>\n",
       "      <td>37.88</td>\n",
       "      <td>41.0</td>\n",
       "      <td>880.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>322.0</td>\n",
       "      <td>126.0</td>\n",
       "      <td>8.3252</td>\n",
       "      <td>452600.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-122.22</td>\n",
       "      <td>37.86</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7099.0</td>\n",
       "      <td>1106.0</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>1138.0</td>\n",
       "      <td>8.3014</td>\n",
       "      <td>358500.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-122.24</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1467.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>496.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>7.2574</td>\n",
       "      <td>352100.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1274.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>558.0</td>\n",
       "      <td>219.0</td>\n",
       "      <td>5.6431</td>\n",
       "      <td>341300.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-122.25</td>\n",
       "      <td>37.85</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1627.0</td>\n",
       "      <td>280.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>3.8462</td>\n",
       "      <td>342200.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "0    -122.23     37.88                41.0        880.0           129.0   \n",
       "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
       "2    -122.24     37.85                52.0       1467.0           190.0   \n",
       "3    -122.25     37.85                52.0       1274.0           235.0   \n",
       "4    -122.25     37.85                52.0       1627.0           280.0   \n",
       "\n",
       "   population  households  median_income  median_house_value income_cat  \n",
       "0       322.0       126.0         8.3252            452600.0          5  \n",
       "1      2401.0      1138.0         8.3014            358500.0          5  \n",
       "2       496.0       177.0         7.2574            352100.0          5  \n",
       "3       558.0       219.0         5.6431            341300.0          4  \n",
       "4       565.0       259.0         3.8462            342200.0          3  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing['rooms_per_household'] = housing['total_rooms']/housing['households']\n",
    "housing['bedrooms_per_room'] = housing['total_bedrooms']/housing['total_rooms']\n",
    "housing['population_per_household'] = housing['population']/housing['households']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\17167\\AppData\\Local\\Temp\\ipykernel_22296\\3539127428.py:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  corr_matrix = housing.corr()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "median_house_value          1.000000\n",
       "median_income               0.688075\n",
       "rooms_per_household         0.151948\n",
       "total_rooms                 0.134153\n",
       "housing_median_age          0.105623\n",
       "households                  0.065843\n",
       "total_bedrooms              0.049686\n",
       "population_per_household   -0.023737\n",
       "population                 -0.024650\n",
       "longitude                  -0.045967\n",
       "latitude                   -0.144160\n",
       "bedrooms_per_room          -0.255880\n",
       "Name: median_house_value, dtype: float64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 关联矩阵\n",
    "corr_matrix = housing.corr()\n",
    "corr_matrix['median_house_value'].sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 机器学习算法的数据准备"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>median_house_value</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12655</th>\n",
       "      <td>-121.46</td>\n",
       "      <td>38.52</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3873.0</td>\n",
       "      <td>797.0</td>\n",
       "      <td>2237.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>2.1736</td>\n",
       "      <td>72100.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15502</th>\n",
       "      <td>-117.23</td>\n",
       "      <td>33.09</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5320.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>768.0</td>\n",
       "      <td>6.3373</td>\n",
       "      <td>279600.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2908</th>\n",
       "      <td>-119.04</td>\n",
       "      <td>35.37</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1618.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>667.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2.8750</td>\n",
       "      <td>82700.0</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14053</th>\n",
       "      <td>-117.13</td>\n",
       "      <td>32.75</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1877.0</td>\n",
       "      <td>519.0</td>\n",
       "      <td>898.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>2.2264</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20496</th>\n",
       "      <td>-118.70</td>\n",
       "      <td>34.28</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3536.0</td>\n",
       "      <td>646.0</td>\n",
       "      <td>1837.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>4.4964</td>\n",
       "      <td>238300.0</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "12655    -121.46     38.52                29.0       3873.0           797.0   \n",
       "15502    -117.23     33.09                 7.0       5320.0           855.0   \n",
       "2908     -119.04     35.37                44.0       1618.0           310.0   \n",
       "14053    -117.13     32.75                24.0       1877.0           519.0   \n",
       "20496    -118.70     34.28                27.0       3536.0           646.0   \n",
       "\n",
       "       population  households  median_income  median_house_value  \\\n",
       "12655      2237.0       706.0         2.1736             72100.0   \n",
       "15502      2015.0       768.0         6.3373            279600.0   \n",
       "2908        667.0       300.0         2.8750             82700.0   \n",
       "14053       898.0       483.0         2.2264            112500.0   \n",
       "20496      1837.0       580.0         4.4964            238300.0   \n",
       "\n",
       "      ocean_proximity income_cat  \n",
       "12655          INLAND          2  \n",
       "15502      NEAR OCEAN          5  \n",
       "2908           INLAND          2  \n",
       "14053      NEAR OCEAN          2  \n",
       "20496       <1H OCEAN          3  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 得到一个分层抽样代表全局数据集的  训练集和测试集\n",
    "strat_train_set.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将数据集的数据和标签分开 \n",
    "housing_labels = strat_train_set['median_house_value'].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing = strat_train_set.drop('median_house_value', axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>ocean_proximity</th>\n",
       "      <th>income_cat</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12655</th>\n",
       "      <td>-121.46</td>\n",
       "      <td>38.52</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3873.0</td>\n",
       "      <td>797.0</td>\n",
       "      <td>2237.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>2.1736</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15502</th>\n",
       "      <td>-117.23</td>\n",
       "      <td>33.09</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5320.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>768.0</td>\n",
       "      <td>6.3373</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>2908</th>\n",
       "      <td>-119.04</td>\n",
       "      <td>35.37</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1618.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>667.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2.8750</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14053</th>\n",
       "      <td>-117.13</td>\n",
       "      <td>32.75</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1877.0</td>\n",
       "      <td>519.0</td>\n",
       "      <td>898.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>2.2264</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20496</th>\n",
       "      <td>-118.70</td>\n",
       "      <td>34.28</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3536.0</td>\n",
       "      <td>646.0</td>\n",
       "      <td>1837.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>4.4964</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "12655    -121.46     38.52                29.0       3873.0           797.0   \n",
       "15502    -117.23     33.09                 7.0       5320.0           855.0   \n",
       "2908     -119.04     35.37                44.0       1618.0           310.0   \n",
       "14053    -117.13     32.75                24.0       1877.0           519.0   \n",
       "20496    -118.70     34.28                27.0       3536.0           646.0   \n",
       "\n",
       "       population  households  median_income ocean_proximity income_cat  \n",
       "12655      2237.0       706.0         2.1736          INLAND          2  \n",
       "15502      2015.0       768.0         6.3373      NEAR OCEAN          5  \n",
       "2908        667.0       300.0         2.8750          INLAND          2  \n",
       "14053       898.0       483.0         2.2264      NEAR OCEAN          2  \n",
       "20496      1837.0       580.0         4.4964       <1H OCEAN          3  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 16512 entries, 12655 to 19773\n",
      "Data columns (total 10 columns):\n",
      " #   Column              Non-Null Count  Dtype   \n",
      "---  ------              --------------  -----   \n",
      " 0   longitude           16512 non-null  float64 \n",
      " 1   latitude            16512 non-null  float64 \n",
      " 2   housing_median_age  16512 non-null  float64 \n",
      " 3   total_rooms         16512 non-null  float64 \n",
      " 4   total_bedrooms      16354 non-null  float64 \n",
      " 5   population          16512 non-null  float64 \n",
      " 6   households          16512 non-null  float64 \n",
      " 7   median_income       16512 non-null  float64 \n",
      " 8   ocean_proximity     16512 non-null  object  \n",
      " 9   income_cat          16512 non-null  category\n",
      "dtypes: category(1), float64(8), object(1)\n",
      "memory usage: 1.3+ MB\n"
     ]
    }
   ],
   "source": [
    "housing.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数据清洗"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "   * 大多数机器学算法无法在缺失的特征上工作，创建一些函数辅助，total_bedrooms有缺失，\n",
    "   1. 放弃这些区域\n",
    "   2. 放弃这个属性\n",
    "   3. 将缺失值 设置为 某个值，（0， 平均数或者中位数都可以）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>ocean_proximity</th>\n",
       "      <th>income_cat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1606</th>\n",
       "      <td>-122.08</td>\n",
       "      <td>37.88</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2947.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>825.0</td>\n",
       "      <td>626.0</td>\n",
       "      <td>2.9330</td>\n",
       "      <td>NEAR BAY</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10915</th>\n",
       "      <td>-117.87</td>\n",
       "      <td>33.73</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2264.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1970.0</td>\n",
       "      <td>499.0</td>\n",
       "      <td>3.4193</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19150</th>\n",
       "      <td>-122.70</td>\n",
       "      <td>38.35</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2313.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>954.0</td>\n",
       "      <td>397.0</td>\n",
       "      <td>3.7813</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4186</th>\n",
       "      <td>-118.23</td>\n",
       "      <td>34.13</td>\n",
       "      <td>48.0</td>\n",
       "      <td>1308.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>835.0</td>\n",
       "      <td>294.0</td>\n",
       "      <td>4.2891</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16885</th>\n",
       "      <td>-122.40</td>\n",
       "      <td>37.58</td>\n",
       "      <td>26.0</td>\n",
       "      <td>3281.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>480.0</td>\n",
       "      <td>6.3580</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "1606     -122.08     37.88                26.0       2947.0             NaN   \n",
       "10915    -117.87     33.73                45.0       2264.0             NaN   \n",
       "19150    -122.70     38.35                14.0       2313.0             NaN   \n",
       "4186     -118.23     34.13                48.0       1308.0             NaN   \n",
       "16885    -122.40     37.58                26.0       3281.0             NaN   \n",
       "\n",
       "       population  households  median_income ocean_proximity income_cat  \n",
       "1606        825.0       626.0         2.9330        NEAR BAY          2  \n",
       "10915      1970.0       499.0         3.4193       <1H OCEAN          3  \n",
       "19150       954.0       397.0         3.7813       <1H OCEAN          3  \n",
       "4186        835.0       294.0         4.2891       <1H OCEAN          3  \n",
       "16885      1145.0       480.0         6.3580      NEAR OCEAN          5  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rows = housing[housing.isnull().any(axis = 1)]\n",
    "rows.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">SimpleImputer</label><div class=\"sk-toggleable__content\"><pre>SimpleImputer(strategy=&#x27;median&#x27;)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "SimpleImputer(strategy='median')"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# # 放弃这些区域\n",
    "# rows.dropna(subset = ['total_bedrooms'])\n",
    "# # 放弃这个属性\n",
    "# rows.drop('total_bedrooms', axis = 1)\n",
    "#  将缺失值 设置为 某个值，（0， 平均数或者中位数都可以）\n",
    "\n",
    "# 创建一个imputer实例，指定你要用属性中的中位数值替换该属性的缺失值 \n",
    "#from sklearn.preprocessing import Imputer as SimpleImputer\n",
    "from sklearn.impute import SimpleImputer\n",
    "\n",
    "imputer = SimpleImputer(strategy = 'median')\n",
    "\n",
    "# 使用fit() 方法将 imputer实例适配到训练集\n",
    "housing_num = housing.drop('ocean_proximity', axis =1)\n",
    "\n",
    "imputer.fit(housing_num)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-118.51   ,   34.26   ,   29.     , 2119.     ,  433.     ,\n",
       "       1164.     ,  408.     ,    3.54155,    3.     ])"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.statistics_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\17167\\AppData\\Local\\Temp\\ipykernel_22296\\3605723347.py:1: FutureWarning: The default value of numeric_only in DataFrame.median is deprecated. In a future version, it will default to False. In addition, specifying 'numeric_only=None' is deprecated. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  housing_num.median().values\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([-118.51   ,   34.26   ,   29.     , 2119.     ,  433.     ,\n",
       "       1164.     ,  408.     ,    3.54155])"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_num.median().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-121.46  ,   38.52  ,   29.    , ...,  706.    ,    2.1736,\n",
       "           2.    ],\n",
       "       [-117.23  ,   33.09  ,    7.    , ...,  768.    ,    6.3373,\n",
       "           5.    ],\n",
       "       [-119.04  ,   35.37  ,   44.    , ...,  300.    ,    2.875 ,\n",
       "           2.    ],\n",
       "       ...,\n",
       "       [-122.72  ,   38.44  ,   48.    , ...,  172.    ,    3.1797,\n",
       "           3.    ],\n",
       "       [-122.7   ,   38.31  ,   14.    , ...,  501.    ,    4.1964,\n",
       "           3.    ],\n",
       "       [-122.14  ,   39.97  ,   27.    , ...,  197.    ,    3.1319,\n",
       "           3.    ]])"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = imputer.transform(housing_num)\n",
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>income_cat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12655</th>\n",
       "      <td>-121.46</td>\n",
       "      <td>38.52</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3873.0</td>\n",
       "      <td>797.0</td>\n",
       "      <td>2237.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>2.1736</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15502</th>\n",
       "      <td>-117.23</td>\n",
       "      <td>33.09</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5320.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>768.0</td>\n",
       "      <td>6.3373</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2908</th>\n",
       "      <td>-119.04</td>\n",
       "      <td>35.37</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1618.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>667.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2.8750</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14053</th>\n",
       "      <td>-117.13</td>\n",
       "      <td>32.75</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1877.0</td>\n",
       "      <td>519.0</td>\n",
       "      <td>898.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>2.2264</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20496</th>\n",
       "      <td>-118.70</td>\n",
       "      <td>34.28</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3536.0</td>\n",
       "      <td>646.0</td>\n",
       "      <td>1837.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>4.4964</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
       "12655    -121.46     38.52                29.0       3873.0           797.0   \n",
       "15502    -117.23     33.09                 7.0       5320.0           855.0   \n",
       "2908     -119.04     35.37                44.0       1618.0           310.0   \n",
       "14053    -117.13     32.75                24.0       1877.0           519.0   \n",
       "20496    -118.70     34.28                27.0       3536.0           646.0   \n",
       "\n",
       "       population  households  median_income  income_cat  \n",
       "12655      2237.0       706.0         2.1736         2.0  \n",
       "15502      2015.0       768.0         6.3373         5.0  \n",
       "2908        667.0       300.0         2.8750         2.0  \n",
       "14053       898.0       483.0         2.2264         2.0  \n",
       "20496      1837.0       580.0         4.4964         3.0  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_tr = pd.DataFrame(X, columns = housing_num.columns, index = housing_num.index)\n",
    "housing_tr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 16512 entries, 12655 to 19773\n",
      "Data columns (total 9 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   longitude           16512 non-null  float64\n",
      " 1   latitude            16512 non-null  float64\n",
      " 2   housing_median_age  16512 non-null  float64\n",
      " 3   total_rooms         16512 non-null  float64\n",
      " 4   total_bedrooms      16512 non-null  float64\n",
      " 5   population          16512 non-null  float64\n",
      " 6   households          16512 non-null  float64\n",
      " 7   median_income       16512 non-null  float64\n",
      " 8   income_cat          16512 non-null  float64\n",
      "dtypes: float64(9)\n",
      "memory usage: 1.3 MB\n"
     ]
    }
   ],
   "source": [
    "housing_tr.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## scikit-Learn\n",
    "* 一致性\n",
    "   1. 估算器\n",
    "       比如：各种机器学习算法\n",
    "       fit()执行估算器\n",
    "\n",
    "   2. 转换器  \n",
    "       比如：LabelBinarizer\n",
    "       transform()  执行转换数据集\n",
    "       fit_transform()  先估算，再转换\n",
    "   3. 预测器\n",
    "       predict()  对给定的新数据集进行预测\n",
    "       score()    评估测试集的预测质量\n",
    "* 检查\n",
    "    1. imputer.strategy_学习参数通过公共实例变量访问"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 处理文本和分类属性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ocean_proximity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12655</th>\n",
       "      <td>INLAND</td>\n",
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       "    <tr>\n",
       "      <th>15502</th>\n",
       "      <td>NEAR OCEAN</td>\n",
       "    </tr>\n",
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       "      <th>2908</th>\n",
       "      <td>INLAND</td>\n",
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       "      <th>14053</th>\n",
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       "    <tr>\n",
       "      <th>20496</th>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1481</th>\n",
       "      <td>NEAR BAY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18125</th>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5830</th>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17989</th>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4861</th>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ocean_proximity\n",
       "12655          INLAND\n",
       "15502      NEAR OCEAN\n",
       "2908           INLAND\n",
       "14053      NEAR OCEAN\n",
       "20496       <1H OCEAN\n",
       "1481         NEAR BAY\n",
       "18125       <1H OCEAN\n",
       "5830        <1H OCEAN\n",
       "17989       <1H OCEAN\n",
       "4861        <1H OCEAN"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_cat = housing[['ocean_proximity']]\n",
    "housing_cat.head(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<1H OCEAN     7277\n",
       "INLAND        5262\n",
       "NEAR OCEAN    2124\n",
       "NEAR BAY      1847\n",
       "ISLAND           2\n",
       "Name: ocean_proximity, dtype: int64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing['ocean_proximity'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 4, 1, ..., 0, 0, 1])"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将文本转化成对应的数字分类 ， 使用转换器\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "encoder = LabelEncoder()\n",
    "housing_cat = housing['ocean_proximity']\n",
    "housing_cat_encoder = encoder.fit_transform(housing_cat)\n",
    "housing_cat_encoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['<1H OCEAN', 'INLAND', 'ISLAND', 'NEAR BAY', 'NEAR OCEAN'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encoder.classes_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "   1. 机器学习算法会以为两个相近的数字比远的数字更相似，比如0，4 比  0，1相似度更高，\n",
    "   2. 创建独热编码，当 <1H ,第0个属性为1，其余都为0， 列别是InLand时候，另一个属性为1，其余为0，1为热，0为冷，独热编码\n",
    "   3. OneHotEncoder编码器, fit_trans需要二维数组， 转换housing_cat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "encoder = OneHotEncoder()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 4, 1, ..., 0, 0, 1])"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_cat_encoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1],\n",
       "       [4],\n",
       "       [1],\n",
       "       ...,\n",
       "       [0],\n",
       "       [0],\n",
       "       [1]])"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_cat_encoder.reshape(-1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<16512x5 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 16512 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_cat_hot = encoder.fit_transform(housing_cat_encoder.reshape(-1, 1))\n",
    "housing_cat_hot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 1., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 1.],\n",
       "       [0., 1., 0., 0., 0.],\n",
       "       ...,\n",
       "       [1., 0., 0., 0., 0.],\n",
       "       [1., 0., 0., 0., 0.],\n",
       "       [0., 1., 0., 0., 0.]])"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 从稀疏矩阵 转换成 numpy\n",
    "housing_cat_hot.toarray()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 1, 0, 0, 0],\n",
       "       [0, 0, 0, 0, 1],\n",
       "       [0, 1, 0, 0, 0],\n",
       "       ...,\n",
       "       [1, 0, 0, 0, 0],\n",
       "       [1, 0, 0, 0, 0],\n",
       "       [0, 1, 0, 0, 0]])"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 一次完成两个转换 文本--整数类型--独热类型\n",
    "housing_cat\n",
    "from sklearn.preprocessing import LabelBinarizer\n",
    "encoder = LabelBinarizer()\n",
    "housing_cat_1hot = encoder.fit_transform(housing_cat)\n",
    "housing_cat_1hot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<16512x5 sparse matrix of type '<class 'numpy.int32'>'\n",
       "\twith 16512 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 输出稀疏矩阵\n",
    "\n",
    "from sklearn.preprocessing import LabelBinarizer\n",
    "encoder = LabelBinarizer(sparse_output = True)\n",
    "housing_cat_1hot = encoder.fit_transform(housing_cat)\n",
    "housing_cat_1hot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 自定义转换器"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import BaseEstimator, TransformerMixin\n",
    "\n",
    "\n",
    "rooms_ix, bedrooms_ix, population_ix, household_ix = [list(housing.columns).index(col) for col in (\"total_rooms\", \"total_bedrooms\", \"population\", \"households\")]\n",
    "rooms_ix, bedrooms_ix, population_ix, household_ix \n",
    "class CombinedAttributesAdder(BaseEstimator, TransformerMixin):\n",
    "    def __init__(self, add_bedrooms_per_room = True):\n",
    "        self.add_bedrooms_per_room = add_bedrooms_per_room\n",
    "    def fit(self, X, y = None):\n",
    "        return self\n",
    "    def transform(self, X, y = None):\n",
    "        rooms_per_household = X[:, rooms_ix] / X[:, household_ix]\n",
    "        population_per_household = X[:, population_ix] / X[:, household_ix]\n",
    "        if self.add_bedrooms_per_room:\n",
    "            bedrooms_per_room = X[:, bedrooms_ix] / X[:, rooms_ix]\n",
    "            return np.c_[X, rooms_per_household,population_per_household, bedrooms_per_room]\n",
    "        else:\n",
    "            return np.c_[X, rooms_per_household,population_per_household]\n",
    "        \n",
    "        \n",
    "        \n",
    "attr_adder = CombinedAttributesAdder(add_bedrooms_per_room = False)\n",
    "housing_extra_attribs = attr_adder.transform(housing.values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-121.46, 38.52, 29.0, ..., 2, 5.485835694050992,\n",
       "        3.168555240793201],\n",
       "       [-117.23, 33.09, 7.0, ..., 5, 6.927083333333333,\n",
       "        2.6236979166666665],\n",
       "       [-119.04, 35.37, 44.0, ..., 2, 5.3933333333333335,\n",
       "        2.223333333333333],\n",
       "       ...,\n",
       "       [-122.72, 38.44, 48.0, ..., 3, 4.1104651162790695,\n",
       "        2.6627906976744184],\n",
       "       [-122.7, 38.31, 14.0, ..., 3, 6.297405189620759,\n",
       "        2.411177644710579],\n",
       "       [-122.14, 39.97, 27.0, ..., 3, 5.477157360406092,\n",
       "        3.1725888324873095]], dtype=object)"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_extra_attribs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-121.46</td>\n",
       "      <td>38.52</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3873.0</td>\n",
       "      <td>797.0</td>\n",
       "      <td>2237.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>2.1736</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "      <td>5.485836</td>\n",
       "      <td>3.168555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-117.23</td>\n",
       "      <td>33.09</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5320.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>768.0</td>\n",
       "      <td>6.3373</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>5</td>\n",
       "      <td>6.927083</td>\n",
       "      <td>2.623698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-119.04</td>\n",
       "      <td>35.37</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1618.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>667.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2.875</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "      <td>5.393333</td>\n",
       "      <td>2.223333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-117.13</td>\n",
       "      <td>32.75</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1877.0</td>\n",
       "      <td>519.0</td>\n",
       "      <td>898.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>2.2264</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>2</td>\n",
       "      <td>3.886128</td>\n",
       "      <td>1.859213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-118.7</td>\n",
       "      <td>34.28</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3536.0</td>\n",
       "      <td>646.0</td>\n",
       "      <td>1837.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>4.4964</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "      <td>6.096552</td>\n",
       "      <td>3.167241</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       0      1     2       3      4       5      6       7           8  9   \\\n",
       "0 -121.46  38.52  29.0  3873.0  797.0  2237.0  706.0  2.1736      INLAND  2   \n",
       "1 -117.23  33.09   7.0  5320.0  855.0  2015.0  768.0  6.3373  NEAR OCEAN  5   \n",
       "2 -119.04  35.37  44.0  1618.0  310.0   667.0  300.0   2.875      INLAND  2   \n",
       "3 -117.13  32.75  24.0  1877.0  519.0   898.0  483.0  2.2264  NEAR OCEAN  2   \n",
       "4  -118.7  34.28  27.0  3536.0  646.0  1837.0  580.0  4.4964   <1H OCEAN  3   \n",
       "\n",
       "         10        11  \n",
       "0  5.485836  3.168555  \n",
       "1  6.927083  2.623698  \n",
       "2  5.393333  2.223333  \n",
       "3  3.886128  1.859213  \n",
       "4  6.096552  3.167241  "
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_tr = pd.DataFrame(housing_extra_attribs)\n",
    "housing_tr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "    }\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>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>ocean_proximity</th>\n",
       "      <th>income_cat</th>\n",
       "      <th>rooms_per_household</th>\n",
       "      <th>population_per_household</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12655</th>\n",
       "      <td>-121.46</td>\n",
       "      <td>38.52</td>\n",
       "      <td>29.0</td>\n",
       "      <td>3873.0</td>\n",
       "      <td>797.0</td>\n",
       "      <td>2237.0</td>\n",
       "      <td>706.0</td>\n",
       "      <td>2.1736</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "      <td>5.485836</td>\n",
       "      <td>3.168555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15502</th>\n",
       "      <td>-117.23</td>\n",
       "      <td>33.09</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5320.0</td>\n",
       "      <td>855.0</td>\n",
       "      <td>2015.0</td>\n",
       "      <td>768.0</td>\n",
       "      <td>6.3373</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>5</td>\n",
       "      <td>6.927083</td>\n",
       "      <td>2.623698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2908</th>\n",
       "      <td>-119.04</td>\n",
       "      <td>35.37</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1618.0</td>\n",
       "      <td>310.0</td>\n",
       "      <td>667.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>2.875</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "      <td>5.393333</td>\n",
       "      <td>2.223333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14053</th>\n",
       "      <td>-117.13</td>\n",
       "      <td>32.75</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1877.0</td>\n",
       "      <td>519.0</td>\n",
       "      <td>898.0</td>\n",
       "      <td>483.0</td>\n",
       "      <td>2.2264</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>2</td>\n",
       "      <td>3.886128</td>\n",
       "      <td>1.859213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20496</th>\n",
       "      <td>-118.7</td>\n",
       "      <td>34.28</td>\n",
       "      <td>27.0</td>\n",
       "      <td>3536.0</td>\n",
       "      <td>646.0</td>\n",
       "      <td>1837.0</td>\n",
       "      <td>580.0</td>\n",
       "      <td>4.4964</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "      <td>6.096552</td>\n",
       "      <td>3.167241</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      longitude latitude housing_median_age total_rooms total_bedrooms  \\\n",
       "12655   -121.46    38.52               29.0      3873.0          797.0   \n",
       "15502   -117.23    33.09                7.0      5320.0          855.0   \n",
       "2908    -119.04    35.37               44.0      1618.0          310.0   \n",
       "14053   -117.13    32.75               24.0      1877.0          519.0   \n",
       "20496    -118.7    34.28               27.0      3536.0          646.0   \n",
       "\n",
       "      population households median_income ocean_proximity income_cat  \\\n",
       "12655     2237.0      706.0        2.1736          INLAND          2   \n",
       "15502     2015.0      768.0        6.3373      NEAR OCEAN          5   \n",
       "2908       667.0      300.0         2.875          INLAND          2   \n",
       "14053      898.0      483.0        2.2264      NEAR OCEAN          2   \n",
       "20496     1837.0      580.0        4.4964       <1H OCEAN          3   \n",
       "\n",
       "      rooms_per_household population_per_household  \n",
       "12655            5.485836                 3.168555  \n",
       "15502            6.927083                 2.623698  \n",
       "2908             5.393333                 2.223333  \n",
       "14053            3.886128                 1.859213  \n",
       "20496            6.096552                 3.167241  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_extra_attribs = pd.DataFrame(\n",
    "    housing_extra_attribs,\n",
    "    columns=list(housing.columns)+[\"rooms_per_household\", \"population_per_household\"],\n",
    "    index=housing.index)\n",
    "housing_extra_attribs.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>longitude</th>\n",
       "      <th>latitude</th>\n",
       "      <th>housing_median_age</th>\n",
       "      <th>total_rooms</th>\n",
       "      <th>total_bedrooms</th>\n",
       "      <th>population</th>\n",
       "      <th>households</th>\n",
       "      <th>median_income</th>\n",
       "      <th>ocean_proximity</th>\n",
       "      <th>income_cat</th>\n",
       "      <th>rooms_per_household</th>\n",
       "      <th>population_per_household</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4859</th>\n",
       "      <td>-118.3</td>\n",
       "      <td>34.02</td>\n",
       "      <td>34.0</td>\n",
       "      <td>3184.0</td>\n",
       "      <td>772.0</td>\n",
       "      <td>2474.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>1.631</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>2</td>\n",
       "      <td>4.516312</td>\n",
       "      <td>3.50922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10780</th>\n",
       "      <td>-117.91</td>\n",
       "      <td>33.64</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1998.0</td>\n",
       "      <td>472.0</td>\n",
       "      <td>1030.0</td>\n",
       "      <td>436.0</td>\n",
       "      <td>3.9306</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "      <td>4.582569</td>\n",
       "      <td>2.362385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16568</th>\n",
       "      <td>-121.42</td>\n",
       "      <td>37.71</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8297.0</td>\n",
       "      <td>1433.0</td>\n",
       "      <td>4189.0</td>\n",
       "      <td>1271.0</td>\n",
       "      <td>4.3696</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>3</td>\n",
       "      <td>6.527931</td>\n",
       "      <td>3.29583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16936</th>\n",
       "      <td>-122.32</td>\n",
       "      <td>37.56</td>\n",
       "      <td>49.0</td>\n",
       "      <td>2016.0</td>\n",
       "      <td>299.0</td>\n",
       "      <td>691.0</td>\n",
       "      <td>288.0</td>\n",
       "      <td>5.549</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.399306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20619</th>\n",
       "      <td>-121.56</td>\n",
       "      <td>39.01</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1891.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>1023.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>2.7303</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "      <td>6.388514</td>\n",
       "      <td>3.456081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16675</th>\n",
       "      <td>-120.7</td>\n",
       "      <td>35.14</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5805.0</td>\n",
       "      <td>1097.0</td>\n",
       "      <td>1919.0</td>\n",
       "      <td>932.0</td>\n",
       "      <td>3.5352</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>3</td>\n",
       "      <td>6.228541</td>\n",
       "      <td>2.059013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5900</th>\n",
       "      <td>-118.31</td>\n",
       "      <td>34.17</td>\n",
       "      <td>12.0</td>\n",
       "      <td>3188.0</td>\n",
       "      <td>931.0</td>\n",
       "      <td>2118.0</td>\n",
       "      <td>850.0</td>\n",
       "      <td>3.1823</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "      <td>3.750588</td>\n",
       "      <td>2.491765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1648</th>\n",
       "      <td>-121.96</td>\n",
       "      <td>37.99</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3129.0</td>\n",
       "      <td>707.0</td>\n",
       "      <td>1606.0</td>\n",
       "      <td>698.0</td>\n",
       "      <td>2.9591</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "      <td>4.482808</td>\n",
       "      <td>2.30086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9453</th>\n",
       "      <td>-123.24</td>\n",
       "      <td>39.81</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1435.0</td>\n",
       "      <td>304.0</td>\n",
       "      <td>746.0</td>\n",
       "      <td>259.0</td>\n",
       "      <td>1.7788</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "      <td>5.540541</td>\n",
       "      <td>2.880309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6707</th>\n",
       "      <td>-118.15</td>\n",
       "      <td>34.14</td>\n",
       "      <td>27.0</td>\n",
       "      <td>1499.0</td>\n",
       "      <td>426.0</td>\n",
       "      <td>755.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>3.875</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "      <td>3.620773</td>\n",
       "      <td>1.823671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14962</th>\n",
       "      <td>-116.91</td>\n",
       "      <td>32.75</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8710.0</td>\n",
       "      <td>1614.0</td>\n",
       "      <td>4372.0</td>\n",
       "      <td>1527.0</td>\n",
       "      <td>4.7813</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>4</td>\n",
       "      <td>5.703995</td>\n",
       "      <td>2.86313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4201</th>\n",
       "      <td>-118.24</td>\n",
       "      <td>34.11</td>\n",
       "      <td>39.0</td>\n",
       "      <td>1148.0</td>\n",
       "      <td>348.0</td>\n",
       "      <td>1161.0</td>\n",
       "      <td>333.0</td>\n",
       "      <td>2.2167</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>2</td>\n",
       "      <td>3.447447</td>\n",
       "      <td>3.486486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1209</th>\n",
       "      <td>-120.46</td>\n",
       "      <td>38.15</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4221.0</td>\n",
       "      <td>781.0</td>\n",
       "      <td>1516.0</td>\n",
       "      <td>697.0</td>\n",
       "      <td>2.3816</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "      <td>6.055954</td>\n",
       "      <td>2.175036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5319</th>\n",
       "      <td>-118.42</td>\n",
       "      <td>34.06</td>\n",
       "      <td>52.0</td>\n",
       "      <td>1881.0</td>\n",
       "      <td>334.0</td>\n",
       "      <td>640.0</td>\n",
       "      <td>321.0</td>\n",
       "      <td>6.871</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>5</td>\n",
       "      <td>5.859813</td>\n",
       "      <td>1.993769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7136</th>\n",
       "      <td>-118.1</td>\n",
       "      <td>34.02</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1022.0</td>\n",
       "      <td>232.0</td>\n",
       "      <td>653.0</td>\n",
       "      <td>238.0</td>\n",
       "      <td>3.0625</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "      <td>4.294118</td>\n",
       "      <td>2.743697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20325</th>\n",
       "      <td>-119.04</td>\n",
       "      <td>34.28</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1856.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>863.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>4.5833</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>4</td>\n",
       "      <td>7.278431</td>\n",
       "      <td>3.384314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3635</th>\n",
       "      <td>-118.43</td>\n",
       "      <td>34.23</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1737.0</td>\n",
       "      <td>369.0</td>\n",
       "      <td>1061.0</td>\n",
       "      <td>356.0</td>\n",
       "      <td>3.9615</td>\n",
       "      <td>&lt;1H OCEAN</td>\n",
       "      <td>3</td>\n",
       "      <td>4.879213</td>\n",
       "      <td>2.980337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16104</th>\n",
       "      <td>-122.5</td>\n",
       "      <td>37.75</td>\n",
       "      <td>45.0</td>\n",
       "      <td>1620.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>941.0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>4.3859</td>\n",
       "      <td>NEAR OCEAN</td>\n",
       "      <td>3</td>\n",
       "      <td>4.939024</td>\n",
       "      <td>2.868902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13585</th>\n",
       "      <td>-117.3</td>\n",
       "      <td>34.12</td>\n",
       "      <td>43.0</td>\n",
       "      <td>1018.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>736.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>2.6</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "      <td>4.734884</td>\n",
       "      <td>3.423256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9267</th>\n",
       "      <td>-120.13</td>\n",
       "      <td>36.87</td>\n",
       "      <td>32.0</td>\n",
       "      <td>2089.0</td>\n",
       "      <td>468.0</td>\n",
       "      <td>1765.0</td>\n",
       "      <td>427.0</td>\n",
       "      <td>2.234</td>\n",
       "      <td>INLAND</td>\n",
       "      <td>2</td>\n",
       "      <td>4.892272</td>\n",
       "      <td>4.133489</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      longitude latitude housing_median_age total_rooms total_bedrooms  \\\n",
       "4859     -118.3    34.02               34.0      3184.0          772.0   \n",
       "10780   -117.91    33.64               37.0      1998.0          472.0   \n",
       "16568   -121.42    37.71                7.0      8297.0         1433.0   \n",
       "16936   -122.32    37.56               49.0      2016.0          299.0   \n",
       "20619   -121.56    39.01               22.0      1891.0          340.0   \n",
       "16675    -120.7    35.14               17.0      5805.0         1097.0   \n",
       "5900    -118.31    34.17               12.0      3188.0          931.0   \n",
       "1648    -121.96    37.99                2.0      3129.0          707.0   \n",
       "9453    -123.24    39.81               25.0      1435.0          304.0   \n",
       "6707    -118.15    34.14               27.0      1499.0          426.0   \n",
       "14962   -116.91    32.75                5.0      8710.0         1614.0   \n",
       "4201    -118.24    34.11               39.0      1148.0          348.0   \n",
       "1209    -120.46    38.15               16.0      4221.0          781.0   \n",
       "5319    -118.42    34.06               52.0      1881.0          334.0   \n",
       "7136     -118.1    34.02               37.0      1022.0          232.0   \n",
       "20325   -119.04    34.28               21.0      1856.0          276.0   \n",
       "3635    -118.43    34.23               37.0      1737.0          369.0   \n",
       "16104    -122.5    37.75               45.0      1620.0            NaN   \n",
       "13585    -117.3    34.12               43.0      1018.0          261.0   \n",
       "9267    -120.13    36.87               32.0      2089.0          468.0   \n",
       "\n",
       "      population households median_income ocean_proximity income_cat  \\\n",
       "4859      2474.0      705.0         1.631       <1H OCEAN          2   \n",
       "10780     1030.0      436.0        3.9306       <1H OCEAN          3   \n",
       "16568     4189.0     1271.0        4.3696          INLAND          3   \n",
       "16936      691.0      288.0         5.549      NEAR OCEAN          4   \n",
       "20619     1023.0      296.0        2.7303          INLAND          2   \n",
       "16675     1919.0      932.0        3.5352      NEAR OCEAN          3   \n",
       "5900      2118.0      850.0        3.1823       <1H OCEAN          3   \n",
       "1648      1606.0      698.0        2.9591          INLAND          2   \n",
       "9453       746.0      259.0        1.7788          INLAND          2   \n",
       "6707       755.0      414.0         3.875       <1H OCEAN          3   \n",
       "14962     4372.0     1527.0        4.7813       <1H OCEAN          4   \n",
       "4201      1161.0      333.0        2.2167       <1H OCEAN          2   \n",
       "1209      1516.0      697.0        2.3816          INLAND          2   \n",
       "5319       640.0      321.0         6.871       <1H OCEAN          5   \n",
       "7136       653.0      238.0        3.0625       <1H OCEAN          3   \n",
       "20325      863.0      255.0        4.5833       <1H OCEAN          4   \n",
       "3635      1061.0      356.0        3.9615       <1H OCEAN          3   \n",
       "16104      941.0      328.0        4.3859      NEAR OCEAN          3   \n",
       "13585      736.0      215.0           2.6          INLAND          2   \n",
       "9267      1765.0      427.0         2.234          INLAND          2   \n",
       "\n",
       "      rooms_per_household population_per_household  \n",
       "4859             4.516312                  3.50922  \n",
       "10780            4.582569                 2.362385  \n",
       "16568            6.527931                  3.29583  \n",
       "16936                 7.0                 2.399306  \n",
       "20619            6.388514                 3.456081  \n",
       "16675            6.228541                 2.059013  \n",
       "5900             3.750588                 2.491765  \n",
       "1648             4.482808                  2.30086  \n",
       "9453             5.540541                 2.880309  \n",
       "6707             3.620773                 1.823671  \n",
       "14962            5.703995                  2.86313  \n",
       "4201             3.447447                 3.486486  \n",
       "1209             6.055954                 2.175036  \n",
       "5319             5.859813                 1.993769  \n",
       "7136             4.294118                 2.743697  \n",
       "20325            7.278431                 3.384314  \n",
       "3635             4.879213                 2.980337  \n",
       "16104            4.939024                 2.868902  \n",
       "13585            4.734884                 3.423256  \n",
       "9267             4.892272                 4.133489  "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_extra_attribs.sample(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 特征缩放"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 最重要也是最需要应用在数据上的转换器，就是特征缩放，输入数值属性有很大的比例差异，会导致机器学习算法性能表现不佳\n",
    "# 房间总数 范围6到39320，收入中位数范围0到15\n",
    "# 目标值通常不需要缩放\n",
    "# 同比缩放所有属性，2种方法 最小-最大缩放和标准化\n",
    "# 最小-最大缩放，又叫归一化，将值重新缩放到0到1之间，将值减去最小值并除以最大值和最小值差，如果你不希望是0到1，可以调整超参数feature_range\n",
    "# 标准化 减去平均值 ，所以标准化均值总是0，然后除以方差，结果的分布具备单位方差，不同于归一化，标准化不将值绑定到特定范围，受异常值影响小\n",
    "# 缩放器仅用来拟合训练集，不是完成的数据集\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 转换流水线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 许多数据转换的步骤需要以正确的顺序来执行， PipeLine来支持这样的转换\n",
    "# pipline构造函数会通过一系列名称/估算器的配对来定义步骤的序列，必须是转换器，必须有fit_fransform()方法\n",
    "# 调用流水芡的fit方法时，会在所有转换器上按照顺序依次调用fit_transform()，将一个调用的输出作为参数传递给下一个调用方法，直到传递到最终\n",
    "# 估算器，只会调用fit方法\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "num_pipeline = Pipeline([\n",
    "        ('imputer', SimpleImputer(strategy=\"median\")),\n",
    "        ('attribs_adder', CombinedAttributesAdder()),\n",
    "        ('std_scaler', StandardScaler())\n",
    "    ])\n",
    "\n",
    "housing_num_tr = num_pipeline.fit_transform(housing_num)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 16512 entries, 12655 to 19773\n",
      "Data columns (total 9 columns):\n",
      " #   Column              Non-Null Count  Dtype   \n",
      "---  ------              --------------  -----   \n",
      " 0   longitude           16512 non-null  float64 \n",
      " 1   latitude            16512 non-null  float64 \n",
      " 2   housing_median_age  16512 non-null  float64 \n",
      " 3   total_rooms         16512 non-null  float64 \n",
      " 4   total_bedrooms      16354 non-null  float64 \n",
      " 5   population          16512 non-null  float64 \n",
      " 6   households          16512 non-null  float64 \n",
      " 7   median_income       16512 non-null  float64 \n",
      " 8   income_cat          16512 non-null  category\n",
      "dtypes: category(1), float64(8)\n",
      "memory usage: 1.1 MB\n"
     ]
    }
   ],
   "source": [
    "housing_num.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dataFrame -> series -> ndarray\n",
    "class DataFrameSelector(BaseEstimator, TransformerMixin):\n",
    "    def __init__(self, attribute_names):\n",
    "        self.attribute_names = attribute_names\n",
    "    def fit(self, X, y=None):\n",
    "        return self\n",
    "    def transform(self, X):\n",
    "        return X[self.attribute_names].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['longitude',\n",
       " 'latitude',\n",
       " 'housing_median_age',\n",
       " 'total_rooms',\n",
       " 'total_bedrooms',\n",
       " 'population',\n",
       " 'households',\n",
       " 'median_income',\n",
       " 'income_cat']"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_attribs =list(housing_num) \n",
    "num_attribs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "num_pipeline = Pipeline([\n",
    "        ('selector', DataFrameSelector(num_attribs)),\n",
    "        ('imputer', SimpleImputer(strategy=\"median\")),\n",
    "        ('attribs_adder', CombinedAttributesAdder()),\n",
    "        ('std_scaler', StandardScaler()),\n",
    "    ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import TransformerMixin \n",
    "class MyLabelBinarizer(TransformerMixin):\n",
    "    def __init__(self, *args, **kwargs):\n",
    "        self.encoder = LabelBinarizer(*args, **kwargs)\n",
    "    def fit(self, x, y=0):\n",
    "        self.encoder.fit(x)\n",
    "        return self\n",
    "    def transform(self, x, y=0):\n",
    "        return self.encoder.transform(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "cat_attribs = ['ocean_proximity']\n",
    "from sklearn.preprocessing import LabelBinarizer\n",
    "\n",
    "cat_pipeline = Pipeline([\n",
    "        ('selector', DataFrameSelector(cat_attribs)),               \n",
    "        ('LabelBinarizer', MyLabelBinarizer()),\n",
    "    ])\n",
    "\n",
    "# housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.pipeline import FeatureUnion\n",
    "\n",
    "full_pipeline = FeatureUnion(transformer_list=[\n",
    "        (\"num_pipline\", num_pipeline,),\n",
    "        ('cat_pipline', cat_pipeline),\n",
    "    ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-0.94135046,  1.34743822,  0.02756357, ...,  0.        ,\n",
       "         0.        ,  0.        ],\n",
       "       [ 1.17178212, -1.19243966, -1.72201763, ...,  0.        ,\n",
       "         0.        ,  1.        ],\n",
       "       [ 0.26758118, -0.1259716 ,  1.22045984, ...,  0.        ,\n",
       "         0.        ,  0.        ],\n",
       "       ...,\n",
       "       [-1.5707942 ,  1.31001828,  1.53856552, ...,  0.        ,\n",
       "         0.        ,  0.        ],\n",
       "       [-1.56080303,  1.2492109 , -1.1653327 , ...,  0.        ,\n",
       "         0.        ,  0.        ],\n",
       "       [-1.28105026,  2.02567448, -0.13148926, ...,  0.        ,\n",
       "         0.        ,  0.        ]])"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_finished = full_pipeline.fit_transform(housing)\n",
    "housing_finished"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "        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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.941350</td>\n",
       "      <td>1.347438</td>\n",
       "      <td>0.027564</td>\n",
       "      <td>0.584777</td>\n",
       "      <td>0.640371</td>\n",
       "      <td>0.732602</td>\n",
       "      <td>0.556286</td>\n",
       "      <td>-0.893647</td>\n",
       "      <td>-0.954687</td>\n",
       "      <td>0.017395</td>\n",
       "      <td>0.006223</td>\n",
       "      <td>-0.121122</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.171782</td>\n",
       "      <td>-1.192440</td>\n",
       "      <td>-1.722018</td>\n",
       "      <td>1.261467</td>\n",
       "      <td>0.781561</td>\n",
       "      <td>0.533612</td>\n",
       "      <td>0.721318</td>\n",
       "      <td>1.292168</td>\n",
       "      <td>1.890078</td>\n",
       "      <td>0.569256</td>\n",
       "      <td>-0.040811</td>\n",
       "      <td>-0.810867</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.267581</td>\n",
       "      <td>-0.125972</td>\n",
       "      <td>1.220460</td>\n",
       "      <td>-0.469773</td>\n",
       "      <td>-0.545138</td>\n",
       "      <td>-0.674675</td>\n",
       "      <td>-0.524407</td>\n",
       "      <td>-0.525434</td>\n",
       "      <td>-0.954687</td>\n",
       "      <td>-0.018024</td>\n",
       "      <td>-0.075371</td>\n",
       "      <td>-0.338273</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.221738</td>\n",
       "      <td>-1.351474</td>\n",
       "      <td>-0.370069</td>\n",
       "      <td>-0.348652</td>\n",
       "      <td>-0.036367</td>\n",
       "      <td>-0.467617</td>\n",
       "      <td>-0.037297</td>\n",
       "      <td>-0.865929</td>\n",
       "      <td>-0.954687</td>\n",
       "      <td>-0.595140</td>\n",
       "      <td>-0.106803</td>\n",
       "      <td>0.961205</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.437431</td>\n",
       "      <td>-0.635818</td>\n",
       "      <td>-0.131489</td>\n",
       "      <td>0.427179</td>\n",
       "      <td>0.272790</td>\n",
       "      <td>0.374060</td>\n",
       "      <td>0.220898</td>\n",
       "      <td>0.325752</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.251241</td>\n",
       "      <td>0.006109</td>\n",
       "      <td>-0.474513</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         0         1         2         3         4         5         6   \\\n",
       "0 -0.941350  1.347438  0.027564  0.584777  0.640371  0.732602  0.556286   \n",
       "1  1.171782 -1.192440 -1.722018  1.261467  0.781561  0.533612  0.721318   \n",
       "2  0.267581 -0.125972  1.220460 -0.469773 -0.545138 -0.674675 -0.524407   \n",
       "3  1.221738 -1.351474 -0.370069 -0.348652 -0.036367 -0.467617 -0.037297   \n",
       "4  0.437431 -0.635818 -0.131489  0.427179  0.272790  0.374060  0.220898   \n",
       "\n",
       "         7         8         9         10        11   12   13   14   15   16  \n",
       "0 -0.893647 -0.954687  0.017395  0.006223 -0.121122  0.0  1.0  0.0  0.0  0.0  \n",
       "1  1.292168  1.890078  0.569256 -0.040811 -0.810867  0.0  0.0  0.0  0.0  1.0  \n",
       "2 -0.525434 -0.954687 -0.018024 -0.075371 -0.338273  0.0  1.0  0.0  0.0  0.0  \n",
       "3 -0.865929 -0.954687 -0.595140 -0.106803  0.961205  0.0  0.0  0.0  0.0  1.0  \n",
       "4  0.325752 -0.006432  0.251241  0.006109 -0.474513  1.0  0.0  0.0  0.0  0.0  "
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_prepared = pd.DataFrame(housing_finished)\n",
    "housing_prepared.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 选择和训练模型\n",
    "* 获得了数据\n",
    "* 数据探索\n",
    "* 对训练集和测试集进行拆分\n",
    "* 编写了转换数据流水线\n",
    "* 自动清理和准备机器学习算法的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12655     72100.0\n",
       "15502    279600.0\n",
       "2908      82700.0\n",
       "14053    112500.0\n",
       "20496    238300.0\n",
       "           ...   \n",
       "15174    268500.0\n",
       "12661     90400.0\n",
       "19263    140400.0\n",
       "19140    258100.0\n",
       "19773     62700.0\n",
       "Name: median_house_value, Length: 16512, dtype: float64"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(housing_prepared)\n",
    "df.head()\n",
    "housing_labels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  训练模型和评估训练集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "lin_reg = LinearRegression()\n",
    "lin_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Predictions: [ 83811.08312039 314388.27147935 145641.85902864 183704.64921202\n",
      " 238729.66725745]\n"
     ]
    }
   ],
   "source": [
    "# 预测数据\n",
    "some_data = housing.iloc[:5]\n",
    "some_labels = housing_labels.iloc[:5]\n",
    "\n",
    "some_data_prepared = full_pipeline.transform(some_data)\n",
    "\n",
    "print(\"Predictions:\", lin_reg.predict(some_data_prepared))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "68376.51254853733"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "housing_predictions = lin_reg.predict(housing_prepared)\n",
    "lin_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "lin_mse\n",
    "lin_rmse = np.sqrt(lin_mse)\n",
    "lin_rmse\n",
    "\n",
    "# 大多数地区的房屋中位数 在120000到265000美元之间，预测误差高达 68628,这是一个典型的模型对训练数据拟合不足的案例，\n",
    "# 原因可能是特征无法提供足够的信息来做出更好的预测，或者模型本身不够强大，\n",
    "# 1. 选择强大的模型，2 为算法提供更好的特征，3.减少对模型的限制等方法，\n",
    "\n",
    "# 决策树可以找到复杂的非线性关系\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>DecisionTreeRegressor(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">DecisionTreeRegressor</label><div class=\"sk-toggleable__content\"><pre>DecisionTreeRegressor(random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "DecisionTreeRegressor(random_state=42)"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeRegressor\n",
    "\n",
    "tree_reg = DecisionTreeRegressor(random_state=42)\n",
    "tree_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_predictions = tree_reg.predict(housing_prepared)\n",
    "tree_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "tree_rmse = np.sqrt(tree_mse)\n",
    "tree_rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    " # 完美，也可能是这个模型对数据严重过度拟合了，如何确认？轻易不要启动测试集，拿训练集中的一部分用于训练，另一部分用于模型的验证"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用交叉验证来更好的进行评估"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([72237.45096271, 69208.53094621, 69286.11573206, 70612.13634405,\n",
       "       70577.30202088, 76840.97092314, 71823.83279699, 72710.22512908,\n",
       "       67780.77127665, 71678.17802175])"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用train_test_split函数将训练集分为较小的训练集和验证集，然后根据这些较小的训练集来训练模型，并对其进行评估\n",
    "# sklearn的交叉验证，将训练集随机分割成10个不同的子集，每个子集称为一个折叠，对模型进行10次训练和评估，每次挑选1个折叠进行评估，另外9个进行训练\n",
    "from sklearn.model_selection import cross_val_score\n",
    "# neg_mean_squared_error‘ 也就是 均方差回归损失 该统计参数是预测数据和原始数据对应点误差的平方和的均值\n",
    "\n",
    "# 决策树交叉验证\n",
    "scores = cross_val_score(tree_reg, housing_prepared, housing_labels,\n",
    "                         scoring=\"neg_mean_squared_error\", cv=10)\n",
    "tree_rmse_scores = np.sqrt(-scores)\n",
    "tree_rmse_scores\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores: [72237.45096271 69208.53094621 69286.11573206 70612.13634405\n",
      " 70577.30202088 76840.97092314 71823.83279699 72710.22512908\n",
      " 67780.77127665 71678.17802175]\n",
      "Mean: 71275.55141535088\n",
      "Standard deviation: 2362.02756776275\n"
     ]
    }
   ],
   "source": [
    "def display_scores(scores):\n",
    "    print(\"Scores:\", scores)\n",
    "    print(\"Mean:\", scores.mean())\n",
    "    print(\"Standard deviation:\", scores.std())\n",
    "\n",
    "display_scores(tree_rmse_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores: [71523.78333874 64044.46774989 67454.97869698 68514.10137273\n",
      " 66303.62531226 72166.63405138 74464.08841381 68570.11804395\n",
      " 66063.64175868 69870.86192291]\n",
      "Mean: 68897.63006613274\n",
      "Standard deviation: 3002.7461275348655\n"
     ]
    }
   ],
   "source": [
    "# 线性 交叉验证\n",
    "lin_scores = cross_val_score(lin_reg, housing_prepared, housing_labels,\n",
    "                             scoring=\"neg_mean_squared_error\", cv=10)\n",
    "lin_rmse_scores = np.sqrt(-lin_scores)\n",
    "display_scores(lin_rmse_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-4 {color: black;background-color: white;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(n_estimators=10, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(n_estimators=10, random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor(n_estimators=10, random_state=42)"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "forest_reg = RandomForestRegressor(n_estimators=10, random_state=42)\n",
    "forest_reg.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "22367.815456232496"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_predictions = forest_reg.predict(housing_prepared)\n",
    "forest_mse = mean_squared_error(housing_labels, housing_predictions)\n",
    "forest_rmse = np.sqrt(forest_mse)\n",
    "forest_rmse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Scores: [54210.24437966 50954.08075971 48354.21916188 53740.48597748\n",
      " 50635.10070043 54791.53832756 55665.97148271 52009.61680706\n",
      " 51422.49990042 56335.17454745]\n",
      "Mean: 52811.893204435546\n",
      "Standard deviation: 2406.880789060253\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "forest_scores = cross_val_score(forest_reg, housing_prepared, housing_labels,\n",
    "                                scoring=\"neg_mean_squared_error\", cv=10)\n",
    "forest_rmse_scores = np.sqrt(-forest_scores)\n",
    "display_scores(forest_rmse_scores)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 模型调参和网格搜索\n",
    "   1. 手动调整超参数，找到很好的组合很困难\n",
    "   2. 使用GridSearchCV替你进行搜索，告诉它，进行试验的超参数是什么，和需要尝试的值，它会使用交叉验证评估所有超参数的可能组合"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "param_grid = [\n",
    "    {'n_estimators': [3, 10, 30], 'max_features': [2, 4, 6, 8]},\n",
    "    {'bootstrap': [False], 'n_estimators': [3, 10], 'max_features': [2, 3, 4]},\n",
    "  ]\n",
    "\n",
    "forest_reg = RandomForestRegressor(random_state=42)\n",
    "grid_search = GridSearchCV(forest_reg, param_grid, cv=5,\n",
    "                           scoring='neg_mean_squared_error', return_train_score=True)\n",
    "grid_search.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid_search.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "grid_search.best_estimator_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cvres = grid_search.cv_results_\n",
    "for mean_score, params in zip(cvres[\"mean_test_score\"], cvres[\"params\"]):\n",
    "    print(np.sqrt(-mean_score), params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据准备步骤也可以当作超参数来处理，网格搜索会自动查找是否添加你不确定的特征，比如是否使用转换器 combinedAttre的超参数add_bedrooms_per_rom\n",
    "# 也可是使用它自动寻找处理问题的最佳方法，比如异常值，缺失特征，特征选择等"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 随机搜索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "from scipy.stats import randint\n",
    "\n",
    "param_distribs = {\n",
    "        'n_estimators': randint(low=1, high=200),\n",
    "        'max_features': randint(low=1, high=8),\n",
    "    }\n",
    "\n",
    "forest_reg = RandomForestRegressor(random_state=42)\n",
    "rnd_search = RandomizedSearchCV(forest_reg, param_distributions=param_distribs,\n",
    "                                n_iter=10, cv=5, scoring='neg_mean_squared_error', random_state=42)\n",
    "rnd_search.fit(housing_prepared, housing_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cvres = rnd_search.cv_results_\n",
    "for mean_score, params in zip(cvres[\"mean_test_score\"], cvres[\"params\"]):\n",
    "    print(np.sqrt(-mean_score), params)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 分析最佳模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_importances = grid_search.best_estimator_.feature_importances_\n",
    "feature_importances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# num_attribs\n",
    "extra_attribs = [\"rooms_per_household\", \"population_per_household\", \"bedrooms_per_room\"]\n",
    "cat_one_hot_attribs = list(encoder.classes_)\n",
    "attributes = num_attribs + extra_attribs + cat_one_hot_attribs\n",
    "sorted(zip(feature_importances, attributes), reverse = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 通过测试集评估系统\n",
    "   1. 从测试集中获取预测器和标签\n",
    "   2. 运行full_pipline来转换数据\n",
    "   3. 在测试集上评估最终模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_model = grid_search.best_estimator_\n",
    "\n",
    "X_test = strat_test_set.drop('median_house_value', axis = 1)\n",
    "y_test = strat_test_set['median_house_value'].copy()\n",
    "\n",
    "X_test_prepared = full_pipeline.transform(X_test)\n",
    "# X_test_prepared\n",
    "\n",
    "# df = pd.DataFrame(X_test_prepared)\n",
    "# df.head()\n",
    "\n",
    "final_predictions = final_model.predict(X_test_prepared)\n",
    "\n",
    "final_mse = mean_squared_error(y_test, final_predictions)\n",
    "final_rmse = np.sqrt(final_mse)\n",
    "final_rmse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 项目启动阶段\n",
    "   1. 展示解决方案 学习了什么\n",
    "   2. 什么有用\n",
    "   3. 什么没有用\n",
    "   4. 基于什么假设\n",
    "   5. 以及系统的限制有哪些\n",
    "   6. 制作漂亮的演示文稿，例如收入中位数是预测房价的首要指标"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 启动，监控和维护系统\n",
    "   1. 为生产环境做好准备，将生产数据源接入系统\n",
    "   2. 编写监控代码，定期检查系统的实时性能，性能下降时触发警报，系统崩溃和性能退化\n",
    "   3. 时间推移，模型会渐渐腐坏，定期使用新数据训练模型\n",
    "\n",
    "## 评估系统性能 \n",
    "   1. 需要对系统的预测结果进行抽样评估，需要人工分析，分析师可能是专家，平台工作人员，都需要将人工评估的流水线接入你的系统\n",
    "   2. 评估输入系统的数据质量\n",
    "   3. 使用新鲜数据定期训练你的模型，最多6个月"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 总结\n",
    "    本周主要学习 数据准备，构建监控工作，建立人工评估流水线，自动化定期训练模型上，熟悉整个机器学习流程，\n",
    "## 建议\n",
    "    选择一个数据集，尝试从A到Z的整个过程，从竞赛网站上，选择一个数据集，一个明确目标，以及可以一起分享经验的同伴\n",
    "    https://www.kaggle.com/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 第二题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dists= np.array([ 3.0, 2.0, 5.0, 4.0, 7.0, 6.0, 1.0, 0.0])\n",
    "\n",
    "k = 5\n",
    "print(np.argpartition(dists, k))\n",
    "\n",
    "print(dists[np.argpartition(dists, k)])\n",
    "\n",
    "# 取X个比k名次还高的\n",
    "X = 4\n",
    "print(dists[np.argpartition(dists, k)[:X]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import BaseEstimator, TransformerMixin\n",
    "\n",
    "def indices_of_top_k(arr, k):\n",
    "    return np.sort(np.argpartition(np.array(arr), -k)[-k:])\n",
    "\n",
    "class TopFeatureSelector(BaseEstimator, TransformerMixin):\n",
    "    def __init__(self, feature_importances, k):\n",
    "        self.feature_importances = feature_importances\n",
    "        self.k = k\n",
    "    def fit(self, X, y=None):\n",
    "        self.feature_indices_ = indices_of_top_k(self.feature_importances, self.k)\n",
    "        return self\n",
    "    def transform(self, X):\n",
    "        return X[:, self.feature_indices_]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "k = 5\n",
    "top_k_feature_indices = indices_of_top_k(feature_importances, k)\n",
    "top_k_feature_indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.array(attributes)[top_k_feature_indices]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bba = sorted(zip(feature_importances, attributes), reverse=True)[:k]\n",
    "bba_np = np.array(bba)\n",
    "bba_np\n",
    "bba_np[:,1]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "preparation_and_feature_selection_pipeline = Pipeline([\n",
    "    ('preparation', full_pipeline),\n",
    "    ('feature_selection', TopFeatureSelector(feature_importances, k))\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_prepared_top_k_features = preparation_and_feature_selection_pipeline.fit_transform(housing)\n",
    "housing_prepared_top_k_features[0:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_prepared = pd.DataFrame(housing_prepared_top_k_features, columns = bba_np[:,1])\n",
    "housing_prepared.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 第三题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "prepare_select_and_predict_pipeline = Pipeline([\n",
    "    ('preparation', full_pipeline),\n",
    "    ('final_model', RandomForestRegressor(**grid_search.best_params_))\n",
    "\n",
    "])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "prepare_select_and_predict_pipeline.fit(housing, housing_labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "some_data = housing.iloc[:4]\n",
    "some_labels = housing_labels.iloc[:4]\n",
    "\n",
    "print(\"Predictions:\\t\", prepare_select_and_predict_pipeline.predict(some_data))\n",
    "print(\"Labels:\\t\\t\", list(some_labels))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 第四题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "param_grid =[{\n",
    "    \n",
    "    'add_bedrooms_per_room':[True, False]\n",
    "}]\n",
    "\n",
    "d_search_prep = GridSearchCV(prepare_select_and_predict_pipeline, param_grid, cv=5,\n",
    "                                scoring='neg_mean_squared_error', verbose=2, n_jobs=4)\n",
    "grid_search_prep.fit(housing, housing_labels)"
   ]
  }
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