[2d970e]: / classification / kNN / k Nearest Neighbors.ipynb

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{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 align=\"center\">Chinese eligibility criteria classification using k Nearest Neighbors (kNN)</h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we will \n",
    "\n",
    "<ol>\n",
    "    <li>convert criteria sentence to feature vector by Bert-as-Service, </li> \n",
    "    <li>train k nearest neighbors model for criteria sentence classification, </li>\n",
    "    <li>and evalute the performance in test data.</li>\n",
    "</ol>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data\n",
    "* 30644 critering sentences for training\n",
    "* 7697 critering sentences for testing\n",
    "* 44 semantic categories"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|#|group topics|semantic categories|\n",
    "|---|---|----\n",
    "|1|`Health Status`|`Disease` `Symptom` `Sign` `Pregnancy-related Activity` `Neoplasm Status` `Non-Neoplasm Disease Stage` `Allergy Intolerance` `Organ or Tissue Status` `Life Expectancy` `Oral related`\n",
    "|2|`Treatment or Health Care`|`Pharmaceutical Substance or Drug` `Therapy or Surgery` `Device` `Nursing`\n",
    "|3|`Diagnostic or Lab Test`|`Diagnostic` `Laboratory Examinations` `Risk Assessment` `Receptor Status`\n",
    "|4|`Demographic Characteristics`|`Age` `Special Patient Characteristic` `Literacy` `Gender` `Education` `Address` `Ethnicity`\n",
    "|5|`Ethical Consideration`|`Consent` `Enrollment in other studies` `Researcher Decision` `Capacity` `Ethical Audit` `Compliance with Protocol`\n",
    "|6|`Lifestyle Choice`|`Addictive Behavior` `Bedtime` `Exercise` `Diet` `Alcohol Consumer` `Sexual related` `Smoking Status` `Blood Donation`\n",
    "|7|`Data or Patient Source`|`Encounter` `Disabilities` `Healthy` `Data Accessible`\n",
    "|8|`Other`|`Multiple`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bert-as-service"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<ol>\n",
    "<li>download <a href=https://github.com/hanxiao/bert-as-service>bert-as-service</a></li>\n",
    "\n",
    "``` shell\n",
    "pip install bert-serving-server  # server\n",
    "pip install bert-serving-client  # client, independent of `bert-serving-server\n",
    "```\n",
    "<br>\n",
    "<li>download chinese_L-12_H-768_A-12</li>\n",
    "<br>\n",
    "<li>start bert-as-service in terminal</li>\n",
    "    \n",
    "```shell\n",
    "bert-serving-start -model_dir chinese_L-12_H-768_A-12 -num_worker=4  -max_seq_len=50\n",
    "```\n",
    "<br>  \n",
    "<li>test bert-as-service</li>\n",
    "    \n",
    "```python\n",
    "from bert_serving.client import BertClient\n",
    "bc = BertClient()\n",
    "v = bc.encode([\"4.年龄小于65岁。\", \"存在严重的合并症者\"])\n",
    "print(v.shape)\n",
    "print(v)  \n",
    "```\n",
    "<br>\n",
    "</ol>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "test bert-as-service"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "load packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import division\n",
    "\n",
    "import os\n",
    "import codecs\n",
    "import time \n",
    "import math\n",
    "import pickle\n",
    "\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.metrics import confusion_matrix, f1_score\n",
    "from sklearn.model_selection import GridSearchCV # \n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "\n",
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### train data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_file = \"../data/train.txt\" \n",
    "train_data = pd.read_csv(train_file, sep=\"\\t\", header=None, names=[\"id\", \"category\", \"sentence\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train data size:30644\n",
      "train dara example:\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>id</th>\n",
       "      <th>category</th>\n",
       "      <th>sentence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>Therapy or Surgery</td>\n",
       "      <td>研究开始前30天内,接受过其他临床方案治疗;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Sign</td>\n",
       "      <td>(9)严重的听力或者视力损害</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Addictive Behavior</td>\n",
       "      <td>10)现在或曾经滥用药物或酗酒,或者每天饮用相当于30毫升酒精的酒精饮料。</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>Age</td>\n",
       "      <td>4.年龄小于65岁。</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Disease</td>\n",
       "      <td>⑧有精神疾病患者;</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id            category                                sentence\n",
       "0  s1  Therapy or Surgery                  研究开始前30天内,接受过其他临床方案治疗;\n",
       "1  s2                Sign                          (9)严重的听力或者视力损害\n",
       "2  s3  Addictive Behavior   10)现在或曾经滥用药物或酗酒,或者每天饮用相当于30毫升酒精的酒精饮料。\n",
       "3  s4                 Age                              4.年龄小于65岁。\n",
       "4  s5             Disease                               ⑧有精神疾病患者;"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"train data size:{}\".format(len(train_data)))\n",
    "print(\"train dara example:\")\n",
    "train_data.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "categories and counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            category  count\n",
      "0                 Addictive Behavior    362\n",
      "1                            Address     42\n",
      "2                                Age   1221\n",
      "3                   Alcohol Consumer     23\n",
      "4                Allergy Intolerance    895\n",
      "5                            Bedtime     25\n",
      "6                     Blood Donation     40\n",
      "7                           Capacity    218\n",
      "8           Compliance with Protocol    500\n",
      "9                            Consent   1767\n",
      "10                   Data Accessible     95\n",
      "11                            Device    168\n",
      "12                        Diagnostic   1645\n",
      "13                              Diet     81\n",
      "14                      Disabilities     25\n",
      "15                           Disease   6820\n",
      "16                         Education     27\n",
      "17                         Encounter     94\n",
      "18       Enrollment in other studies    686\n",
      "19                     Ethical Audit     23\n",
      "20                         Ethnicity     18\n",
      "21                          Exercise     28\n",
      "22                            Gender     40\n",
      "23                           Healthy     51\n",
      "24           Laboratory Examinations   1516\n",
      "25                   Life Expectancy    222\n",
      "26                          Literacy     70\n",
      "27                          Multiple   6092\n",
      "28                   Neoplasm Status    180\n",
      "29        Non-Neoplasm Disease Stage    137\n",
      "30                           Nursing     34\n",
      "31                      Oral related     69\n",
      "32            Organ or Tissue Status    478\n",
      "33  Pharmaceutical Substance or Drug   1175\n",
      "34        Pregnancy-related Activity   1368\n",
      "35                   Receptor Status     38\n",
      "36               Researcher Decision    616\n",
      "37                   Risk Assessment    941\n",
      "38                    Sexual related     30\n",
      "39                              Sign    377\n",
      "40                    Smoking Status     73\n",
      "41    Special Patient Characteristic    137\n",
      "42                           Symptom    206\n",
      "43                Therapy or Surgery   1991\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "category_count = train_data.groupby(['category'], as_index=False)['category'].agg({'count': 'count'})\n",
    "fig, ax = plt.subplots(figsize=(15, 5))\n",
    "fig = sns.barplot(x=category_count[\"category\"], y=category_count[\"count\"], palette=\"deep\", ax=ax)\n",
    "_ = ax.set_xticklabels(labels=category_count[\"category\"], rotation=45, ha='right')\n",
    "ax.set_title(\"The eligibility criteria distribution of each semantic category in the train dataset\")\n",
    "print(category_count)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_file = \"../data/test.txt\" \n",
    "test_data = pd.read_csv(test_file, sep=\"\\t\", header=None, names=[\"id\", \"category\", \"sentence\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test data size:7697\n",
      "test dara example:\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>id</th>\n",
       "      <th>category</th>\n",
       "      <th>sentence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>s1</td>\n",
       "      <td>Multiple</td>\n",
       "      <td>2)性别不限,年龄18~70岁;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>s2</td>\n",
       "      <td>Multiple</td>\n",
       "      <td>(1)以原发性胃癌为诊断入院,年龄在18岁至70岁之间的患者;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>s3</td>\n",
       "      <td>Disease</td>\n",
       "      <td>(6)合并造血系统或恶性肿瘤等严重原发性疾病;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>s4</td>\n",
       "      <td>Researcher Decision</td>\n",
       "      <td>-其他研究者认为不适合参加本研究的患者</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>s5</td>\n",
       "      <td>Capacity</td>\n",
       "      <td>3、儿童家长能回答或看懂研究用量表者。</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id             category                         sentence\n",
       "0  s1             Multiple                 2)性别不限,年龄18~70岁;\n",
       "1  s2             Multiple  (1)以原发性胃癌为诊断入院,年龄在18岁至70岁之间的患者;\n",
       "2  s3              Disease          (6)合并造血系统或恶性肿瘤等严重原发性疾病;\n",
       "3  s4  Researcher Decision              -其他研究者认为不适合参加本研究的患者\n",
       "4  s5             Capacity              3、儿童家长能回答或看懂研究用量表者。"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"test data size:{}\".format(len(test_data)))\n",
    "print(\"test dara example:\")\n",
    "test_data.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "categories and counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            category  count\n",
      "0                 Addictive Behavior     88\n",
      "1                            Address     12\n",
      "2                                Age    305\n",
      "3                   Alcohol Consumer      6\n",
      "4                Allergy Intolerance    223\n",
      "5                            Bedtime     12\n",
      "6                     Blood Donation     11\n",
      "7                           Capacity     56\n",
      "8           Compliance with Protocol    120\n",
      "9                            Consent    433\n",
      "10                   Data Accessible     25\n",
      "11                            Device     46\n",
      "12                        Diagnostic    417\n",
      "13                              Diet     23\n",
      "14                      Disabilities      7\n",
      "15                           Disease   1698\n",
      "16                         Education      7\n",
      "17                         Encounter     25\n",
      "18       Enrollment in other studies    174\n",
      "19                     Ethical Audit     11\n",
      "20                         Ethnicity      5\n",
      "21                          Exercise      7\n",
      "22                            Gender     11\n",
      "23                           Healthy     13\n",
      "24           Laboratory Examinations    385\n",
      "25                   Life Expectancy     55\n",
      "26                          Literacy     16\n",
      "27                          Multiple   1540\n",
      "28                   Neoplasm Status     44\n",
      "29        Non-Neoplasm Disease Stage     32\n",
      "30                           Nursing      6\n",
      "31                      Oral related     19\n",
      "32            Organ or Tissue Status    120\n",
      "33  Pharmaceutical Substance or Drug    300\n",
      "34        Pregnancy-related Activity    344\n",
      "35                   Receptor Status      9\n",
      "36               Researcher Decision    151\n",
      "37                   Risk Assessment    228\n",
      "38                    Sexual related     13\n",
      "39                              Sign     97\n",
      "40                    Smoking Status     19\n",
      "41    Special Patient Characteristic     38\n",
      "42                           Symptom     50\n",
      "43                Therapy or Surgery    496\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "category_count = test_data.groupby(['category'], as_index=False)['category'].agg({'count': 'count'})\n",
    "fig, ax = plt.subplots(figsize=(15, 5))\n",
    "fig = sns.barplot(x=category_count[\"category\"], y=category_count[\"count\"], palette=\"deep\", ax=ax)\n",
    "_ = ax.set_xticklabels(labels=category_count[\"category\"], rotation=45, ha='right')\n",
    "ax.set_title(\"The eligibility criteria distribution of each semantic category in the test dataset\")\n",
    "print(category_count)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature construction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**convert labels to number or number to labels.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = [\"Disease\",\"Symptom\",\"Sign\",\"Pregnancy-related Activity\",\"Neoplasm Status\",\"Non-Neoplasm Disease Stage\",\n",
    "        \"Allergy Intolerance\",\"Organ or Tissue Status\",\"Life Expectancy\",\"Oral related\",\n",
    "        \"Pharmaceutical Substance or Drug\",\"Therapy or Surgery\",\"Device\",\"Nursing\",\"Diagnostic\",\n",
    "        \"Laboratory Examinations\",\"Risk Assessment\",\"Receptor Status\",\"Age\",\"Special Patient Characteristic\",\n",
    "        \"Literacy\",\"Gender\",\"Education\",\"Address\",\"Ethnicity\",\"Consent\",\"Enrollment in other studies\",\n",
    "        \"Researcher Decision\",\"Capacity\",\"Ethical Audit\",\"Compliance with Protocol\",\"Addictive Behavior\",\n",
    "        \"Bedtime\",\"Exercise\",\"Diet\",\"Alcohol Consumer\",\"Sexual related\",\"Smoking Status\",\"Blood Donation\",\n",
    "        \"Encounter\",\"Disabilities\",\"Healthy\",\"Data Accessible\",\"Multiple\"]\n",
    "label2index = dict()\n",
    "index2label = dict()\n",
    "for (i, label) in enumerate(labels):\n",
    "    label2index[label] = i\n",
    "    index2label[i] = label"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**choice 1: convert criteria sentences into feature matrix using bert-as-service inline**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = bc.encode(list(train_data[\"sentence\"]))\n",
    "y_train = train_data[\"category\"].apply(lambda x: label2index.get(x))\n",
    "print(\"X_train shape:\", X_train.shape, \"y_train shape:\", y_train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test = np.array(bc.encode(list(test_data[\"sentence\"])))\n",
    "y_test = np.array(test_data[\"category\"].apply(lambda x: label2index.get(x)))\n",
    "print(\"X_test shape:\", X_test.shape, \"y_test shape:\", y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "save the feature as .npy file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.save(\"../data/feature_matraix (by bert-as-service)/X_train.npy\", X_train)\n",
    "np.save(\"../data/feature_matraix (by bert-as-service)/X_test.npy\", X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**choice 2: load the feature from file, (we save as .npy format)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train shape: (30644, 768) y_train shape: (30644,)\n"
     ]
    }
   ],
   "source": [
    "X_train = np.load(\"../data/feature_matraix (by bert-as-service)/X_train.npy\")\n",
    "y_train = train_data[\"category\"].apply(lambda x: label2index.get(x))\n",
    "print(\"X_train shape:\", X_train.shape, \"y_train shape:\", y_train.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_test shape: (7697, 768) y_test shape: (7697,)\n"
     ]
    }
   ],
   "source": [
    "X_test = np.load(\"../data/feature_matraix (by bert-as-service)/X_test.npy\")\n",
    "y_test = np.array(test_data[\"category\"].apply(lambda x: label2index.get(x)))\n",
    "print(\"X_test shape:\", X_test.shape, \"y_test shape:\", y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## k Nearest Neighbors ( using scikit-learn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### parameter optimization (GridSearchCV)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "optimize parameters by cross-validated grid-search over a parameter grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tuning parameters took 134.85252857208252s!\n"
     ]
    }
   ],
   "source": [
    "start_time = time.time()\n",
    "lr = KNeighborsClassifier()\n",
    "parameters = {\"n_neighbors\": range(2,15)}\n",
    "clf = GridSearchCV(lr, parameters, cv=3, scoring=\"f1_macro\", n_jobs=8)\n",
    "clf.fit(X_train, y_train)\n",
    "print(\"tuning parameters took {}s!\".format(time.time() - start_time))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "show scores and rank under different parameters setting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>n_neighbors</th>\n",
       "      <th>rank_test_score</th>\n",
       "      <th>mean_test_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.695799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0.690951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>0.686833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8</td>\n",
       "      <td>4</td>\n",
       "      <td>0.681712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>0.679680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>0.678324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>0.677540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>0.670258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>0.662720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>0.655502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>12</td>\n",
       "      <td>11</td>\n",
       "      <td>0.644252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>13</td>\n",
       "      <td>12</td>\n",
       "      <td>0.634247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>0.624762</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    n_neighbors  rank_test_score  mean_test_score\n",
       "1             3                1         0.695799\n",
       "2             4                2         0.690951\n",
       "3             5                3         0.686833\n",
       "6             8                4         0.681712\n",
       "5             7                5         0.679680\n",
       "4             6                6         0.678324\n",
       "0             2                7         0.677540\n",
       "7             9                8         0.670258\n",
       "8            10                9         0.662720\n",
       "9            11               10         0.655502\n",
       "10           12               11         0.644252\n",
       "11           13               12         0.634247\n",
       "12           14               13         0.624762"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf_results = pd.DataFrame(clf.cv_results_[\"params\"])\n",
    "clf_results[\"rank_test_score\"] = clf.cv_results_[\"rank_test_score\"]\n",
    "clf_results[\"mean_test_score\"] = clf.cv_results_[\"mean_test_score\"]\n",
    "clf_results.sort_values(\"rank_test_score\",inplace=True)\n",
    "clf_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "get the best parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'n_neighbors': 3}\n"
     ]
    }
   ],
   "source": [
    "best_params = clf.best_params_\n",
    "print(best_params)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training took 0.02676677703857422s!\n"
     ]
    }
   ],
   "source": [
    "start_time = time.time()\n",
    "model = KNeighborsClassifier(n_neighbors=best_params[\"n_neighbors\"])\n",
    "model.fit(X_train, y_train)\n",
    "print(\"training took {}s!\".format(time.time() - start_time))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### predict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "predict label of test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[43 43  0 ... 36 36 36]\n"
     ]
    }
   ],
   "source": [
    "pred_test = model.predict(X_test)\n",
    "print(pred_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "save predict results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "with codecs.open(\"kNN_test_pred.txt\", \"w\", encoding=\"utf-8\") as outf:\n",
    "    for (i, c, s) in zip(test_data[\"id\"], pred_test, test_data[\"sentence\"]):\n",
    "        outf.write(\"{}\\t{}\\t{}\\r\\n\".format(i, index2label.get(c), s))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "show predict results by confusion matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Lly1lxNWjmft1OtVr1GDSAwefY8EeS3v27GHCffdwx9jAzkc49NexonP5SNi+fTvTPniPb39Yx0+/bCBnTw6vvvySZ/kc7bKzsxnUvy8TH3yIWrVqeZ1O0PyQv5c5HM7/rZGUQ2Xgh2M5VKHuQ052NmOGDeKO8Q9QM0LbwCHOrSEjYfExf2dnKqO9qpqoqgnA2cD5wL8BVDVdVa/zNLsw0v270Nzd7P/udeLbtCArM5NT01LYtGkTAN+sWME1Y0byxv/e5YQTTjgodsb0j2lz0klsyMokLTWRtq2bk5WZySldk4viS/pq/jymTXuftq2bc+WQgcz57FOuuvJyAMbfNY6t27Yy4YH/BJR77dq1OaNHT2bOnB5CC/zuxRem8tGH05j6wstBdwbUb9CAjRs3As71fifWrx+WnILRoEEDoqKiqFKlCsNHjCQ9fWGZ2zZuHFs0wRM4E2fGxsYeUr2H+joU1le/fn0u6nMJixaVnW9p8vLyGDygHwMGDubiPpcCwbVBqEJtw8axcTSOjSPV/cbl4ksuZcWypdSv34BNh3gs/fTjj/ycsY6uKZ0DOh+LC/Z1LO9cDlSobfjp7E9o3rwFJ554IlWrVqVPn0v5+qv5QeUQqpCPgwiPL5SXl8eg/n0ZMGgIfS65NKhYP+yDl/mHI4dwCvf/1iOVg9fHUTiOA6+PZb8IdR/y8vIYM2wgffoN5PwL+4Q/QRNxrDPBeEZVtwCjgL+Ko4eITAMQkTPcEQzLRGSpiNR0198iIotEZIWIjCssS0TeFZHF7oiHUe66KBGZKiIrReQbEbnRXd9KRKa7288VkfjDsX9VjjuBYzsM59iEK/nuh3XExsUxf8FiGjZsyPpffmHQgL4889wLtDnppD/Evvn6a1w1YiQ/Z23mux/WsWZtBrFxcXy1cEmZsw/fNf5efszIZM3aDF54+TV69DyT5154ieeeeZpZM2fwwkuvljtkeuvWrezYsQOAvXv3MvuTWbRtG3rTzJwxnYcenMhb77xP9erVg47v1fsiXnrxeQBeevF5el94ccg5BauwMwPgvXffoX1C2fMIpXbpwtq1P5Cxbh25ubm8+fpr9Op9UcB1hfo65OTksHv37qLfP5k1k4Ry8i1JVfnz6KtpGx/PdTfcVLQ+mDYIVaht2KBhQ+Li4vjh+zUAfP7Zp7Rt147ze/Xm1ZdfAII/ljp07MgvG7awZm1GQOdjKK9jWedyMEJtwyZNmrJw4dfs2bMHVeWzT2fTtthdQY6EUPch0uPBOR/HjBxB2/h2XH/jTRUHhDmHUOO9zj8cOYTqcP1vPZI5eH0cheM48PpY9oNQ90FV+ft1o2l9Ujwjr7n+MGRoIpHdzcF4SlV/EpEooORXhDcDf1HVeSISA+wTkXOANkBXQID3RaS7qn4BDFfV30TkOGCRiPwPaA7EqmoHABGp7Zb9JDBGVX8QkTTgMeDMUPclN2MmBdlZcGAf+1ZNJbphV6JPKH2W33vG38lvv/7K9df+BYDo6Ghat27DF1/M4ddt2/j229WccuppoaYEwLV/GUPTZs3o0e0UwPmW9p//uuMP223auJGRw4eSn59PgRbQt19/LujVO6i6hl4xmLnuPrRp2YR/3T6WBybcx/7c/fQ+72zAmYTxkceeKDX+yssHMffzOWzbto1WzeO4/Y5x3Pz3W7l8UH+ef+4ZmjZtxkuvvlFuDqWVMWz4iMD34fLBRa9D6xZN+NcdY5n7+eesWL4MEaFZ8+Y88th/y4yPjo5m0uQpXNjrXPLz8xk6bDjtEwK/hVOor8OWzZsZ0O8SAA7kH2DAwMGlzslRlq/mz+PVl18koUNHTu7iTLQ09s7xvPnGa6xYvowqAbRBqK9BqG0IcP+Dkxl51ZXk5uXSvHkLHvvvMxQUFDDsioG89MJzFR5Loe5DOM6nUITahl3T0rjk0n6c0jWZ6OhoOndOYsTIUUHl4PVxEOnxAPPnzeOVl1+kQ4eOpKUkAjDu7ns47/wLImIfvM4/HDn44W+B1zl4fRyF4zjw+liG0F/HUOND3Yf0BfN5+41XiG/fgfPPcC7hveVfd5K7fz/frv4G4BTgQxFZpqrnAohIBlALqCYifYBzVHV1wEkfbnY3h5BJILdKMyZcRCRbVWNKrNsBtAXaATeram8RuRW4BHgZeFtVM0XkAaAfsMMNjQHuVdVnRGSsuz04nQjnAmuAdOAj4ENgJlAd2Oo+V+gYVf3DV27uCAfn3XPVmJRjE4Ye8n7/tvCRQ451cwkpPhwCuTVkeapU8X4fQv1754fXIVSR/joGemvI8hxTNSoMmRhjjDGVR0W3hixP7zNPZcWyxRH1JqnK8U31mG43e51GQPZ9dP1iVU31Oo/S2MgE4ykRaQnkA1twOhMAUNX7RORD4AJgnoicizMa4V5V/W+JMnoAZwGnqOoeEZkDHKuq20WkM07HwhigP3ADsENVEyvKTVWfxBnFQJXq9a3XzRhjjDHGGGNcNmeC8YyInAg8AUzREl8Zi0grVf1GVe8HFgHxwAxguHvZAyISKyL1geOB7W5HQjxwsvt8PaCKqv4P+BeQrKq7gHUicpm7jbgdDsYYY4wxxhhjAmQjE8yRdpyILAOqAgeAF4HSbjFwg4j0BAqAVcDHqrpfRNoBX7nDzbOBy4HpwBgR+Rbn8oWv3TJigecKbz0J/J/7cwjwuIj8y83jNWB5WPfSGGOMMcYY40+C72+7GAmsM8EcUapa5sXKqjoHmOP+fm0Z20wGJpfy1PllFJtcShnrgMBnpDPGGGOMMcYYcxDrjjHGGGOMMcYYY0xQbGSCMcYYY4wxxpijiNhlDmFgnQnGBCCxXVO+/OrQb+8Y+h1YQ7+ZRKi3NfT6loDhUBlu7RiqSH8d7baOxhhjTPjVi6l2yLHRUZH93sIcOuuOMSZMvl+zhpO7JBUtDesdz5SHHwo4fsyo4TSLa0BqUsc/PDd50oNUr1aFbdu2lVtGfJsWdEnqRFpqEqed3CXYXWD01cNp2rg+KYkdgo4tNHPGdDoltCUhvjUTJ9x31MX7IYdQ40M9DqwNI/9cWr9+Peee1ZOkTu1J7pzAlIdLm6rm8NUfrjIiPd4POXh9LlgbWhuEI94POUR6fOb69Zx/zpmkdE4gNbEDjz4S/P8FUwmpqi222FLBkpScojn7CwJedu3J0/oNGui3368LOGbGJ3P0y6/TtV37hIPWr1n7s5519jnapGlT/WXDFt2TW1Dm0rRZszK32ZunFS6zPv1c5y9YrO0TEgLavuSSve+AtmjZUlev+VF35uzXjh076ZLlq46aeD/kEI59COU4sDasHOfST79s0PkLFuvePNUtv+3S1m3a2Llkf0/s70kExvshB6/j/ZBDJMRX9D51bUaWfvl1uubsL9BN23Zq69ZtNH3ZSs3ZX6BJySnq9Xv1YBc5vqkee+FjEbEA6V63V1mLjUww5jD47NPZtGzZiqbNmgUc0+307tStU/cP6/9xy03cfc/9R2SIfrfTu1O37h9zCNSihQtp1ao1LVq2pFq1alw2YCDTPnjvqIn3Qw7h2IdQjgNrQ0ekn0uNGjUiKdm5GU7NmjWJj2/Hhg1ZR6z+cJQR6fF+yMHrc8Ha0NogHPF+yCHS48H9v5D0+/+FtvHt2JAV+P8FUzlZZ4Ixh8Fbb77GZf0HhlzOtPffo1HjxnTq3Dmg7UWECy84l1PTUnnm6SdDrj9YGzZkERfXpOhxbGwcWUH8o4n0eD/kEI59CIW1YXj4aR9+zshg2bKldOmadkTr97oNvI73Qw5enwvWhtYG4Yj3Qw6RHl/SzxkZLF8e3P8FUznZBIwm7ETkNmAwkA8UAKNVdcFhqKc2MFhVHwt32aHIzc3lo2kfMO6ue0MqZ8+ePUyccC/vfzgj4JhPPptLbGwsW7Zs4cLzz6Ft23i6nd49pDyMMUev7OxsBvXvy8QHH6JWrVpep2OMMcZj2dnZDB7YjwkPTLL/C8ZGJpjwEpFTgN5Asqp2As4C1h+m6moD1xymsg/ZzOkf0zkxmQYNGoRUzk8//UhGxjpO7pJIfJsWZGVmcmpaCps2bSozJjY2FoD69etz4cV9SF+0MKQcgtW4cSyZmb+/3FlZmUU5HQ3xfsghHPsQCmvD8PDDPuTl5TGof18GDBpCn0suDSrWjgNrg3CwNrQ2CEe8H3KI9PhCeXl5DB7QjwEDB3Nxn+D+L/iSVImMxcf8nZ2JRI2Abaq6H0BVtwHxIvJu4QYicraIvOP+ni0iE0VklYh8IiJdRWSOiPwkIhe52wwTkffc9T+IyL/dou4DWonIMrcMcX+uFJFvRGSAG99DRD53y/hJRO4TkSEistDdrlU4G+DNN17jsgGhX+LQoUNHfs7czLffr+O7H9YRGxfH/AWLadiwYanb5+TksHv37qLfZ38yi/YJhz6T/KFI7dKFtWt/IGPdOnJzc3nz9dfo1fuioybeDzmEYx9CYW0YHl7vg6oyZuQI2sa34/obbzri+YejjEiP90MOXp8L1obWBuGI90MOkR4Pzv+FP4++mrbx8Vx3Q/D/F0zlZJc5mHCbCdwhIt8DnwCvA58Bj4nIiaq6FbgKeNbdvgbwqare4nYw3A2cDbQHngfed7frCnQA9gCLRORD4Fagg6omAohIXyAR6AzUc7f7wo3vDLQDfgN+Ap5W1a4icj1wLXBDOHY+JyeHT2fP4uFHnwg6dugVg5n7xRx+3baNNi2b8K/bxzL0qhEBx2/ZvJmBlzm9xAcOHKD/wEGcc+55QeVw5eWDmPv5HLZt20ar5nHcfsc4hg0PPIfo6GgmTZ7Chb3OJT8/n6HDhtM+IeGoifdDDuHYh1COA2tDR6SfS/PnzeOVl1+kQ4eOpKUkAjDu7ns47/wLjkj94Sgj0uP9kIPX54K1obVBOOL9kEOkxwN8NX8er778IgkdOnJylyQAxt45PuD/C6ZyElX1OgdTyYhIFHA60BMYjfOhPxanI+A5YCnQRlUPiMh+4FhVVRG5E9ivquNFpArwm6rWFpFhwJmqeqVb/p04nQLvAtNUtYO7fhLwjao+6z5+EXgT2AXcpqpnu+u/AP5PVeeJyJnAdarap5T9GAWMAmjStGnKdz9khLmlAheOGzkcibtBGGOMMcaYyFNQcOifCbud0oUli9Mj6o1mldrN9Jget3mdRkD2vTd6saqmep1HaWxkggk7Vc0H5gBzROQbYChOp8IHwD7gTVU94G6ep7/3aBUAhZdHFIhI8eOz5F+4YP/i7S/2e0GxxwWUcR6o6pPAkwDJKanW62aMMcYYY4wxLpszwYSViLQVkTbFViUCP6vqBmAD8C+c0QnBOltE6orIcUAfYB6wG6hZbJu5wAARiRKRE4HuwJGdgdAYY4wxxhhjjgI2MsGEWwzwiHvbxgPAWtxLBYCXgRNV9dtDKHch8D8gDnhJVdMBRGSeiKwEPgb+DpwCLMcZufB3Vd0kIvEh7I8xxhhjjDHGmBKsM8GElaouBk4t4+luwFMlto8p9vvYsp4DMkub10BVB5dYdYu7FN9mDs5lF4WPe5T1nDHGGGOMMaaSE/H9bRcjgXUmmCNCRBYDOcDfvM7FGGOMMcYYY0xorDPBHBGqmhJC7FRgatiSMcYYY4wxxhgTEutMMCYAChwI4ZY51aJDG0aVH0LdhaIi6oY9xpQuHLczttukGmOMMSYs914/ytmFIsYYY4wxxhhjjAmKdSYYE0Yd27bklNTOdEtL5ozTugYV+/2aNaSlJBYt9evW4pHJDwUcn7l+PeefcyYpnRNITezAo49MBuDt/71JamIHqlerwuL09HLLmDljOp0S2pIQ35qJE+4LKv9wleFl/Pr16zn3rJ4kdWpPcucEpjw8Oej6Q82hMsSHox1DyWH0yOE0i21AamLHoOstNOXhyaQkdiC5c0JQ52Gho/1cCke8H3LwOt4POYQaP/rq4TRtXJ+UxA5Bx4aj/nCUEenxfsjB63g/5BDp59KYUcNpFteA1KTf/7cWvsdcumQxIpJ6SImZyKaqtthiSwVLYnKK7tybX+HStGkz/Wn95j+s35unQS3Z+w5ogwYN9Lu1Gc7j/QUVLmszsvTLr9M1e3+Bbty2U1u3bqOLlq3U9GWrdMmKb/X07mfol18tKrfOFi1b6uo1P+rOnP3asWMnXbJ8VdB5h1KG1/E//bJB5y9YrHvzVLf8tktbt2lz1LVBOI6DUNuxvBz25BZUuMycPUfnLUjX9u0TSn2+ovrTl36j7RMS9NedObp7b572PPNPuvLbH45oG3r9Onod74ccvI73Qw7h2IdZn36u8xcs1vYJCUHFWRtaG1gbHNlzKWd/QbnLjE/m6Jdfp2u79glF6xYvW6VLV3yrMTExCqR6/X49mEVqN9PjLn0mIhYg3ev2KmuxkQnG+NBnn86mRctWNGvWLOCYho0akZiUDEDNmjVpG9+OjVlZxLdrx0lt21YYv2jhQlq1ak2Lli2pVq0alw0YyLQP3gsq71DL8Dq+UaNGJCX/3obx8e3YsCEr4Hg/7IPX8RB6O4aaQ7fTu1O3Tt2gci7uu+++pUuXNKpXr050dDSndz+Dd999O+B4O5esDcIR74ccwrEP3U7vTt26h3Y+WhtaG4Qj3g85VIZzqbT/rYG+xzSVl3UmGBNOIvS58Dy6n9qF55558pCLefP11+g/YNAhx/+ckcHy5UtJ7ZoWcMyGDVnExTUpehwbG0dWVnAfpEMtw+v44n7OyGDZsqV0CaINw5FDpMeXdCjtGO4cgpWQ0IF58+by66+/smfPHqZ//BGZ69cHHG/nkrVBOOL9kIPX56K1obVBOOL9kENlOJeMKY3dzcFELBG5DRgM5AMFwGhgJPAfVV3tRU4zZn9B49hYtm7ZQp/e53JS23hO69Y9qDJyc3P5cNr73Dn+3kPKITs7myED+3H/A5OoVavWIZVxtMvOzmZQ/75MfPAha8MQRGo7xrdrx99u/gcXnn8O1WvUoHPnRKKiorxOyxhjjDHGV2xkgolIInIK0BtIVtVOwFnAelW92quOBIDGsbEAnFi/Pr0v6sPiRYuCLmPG9I9JTEqmQYMGQcfm5eUxZEA/BgwczMV9Lg0qtnHjWDIzf//2NSsrk1h3f45UGV7Hg9OGg/r3ZcCgIfS5JLg2DEcOkR5fKJR2DFcOoRg2fATzFy7mk8++oHadOrRpc1LAsXYuWRuEI94POXh9LlobWhuEI94POVSGc6myEZxbRUfC4mfWmWAiVSNgm6ruB1DVbaq6QUTmFM4mKyIjROR7EVkoIk+JyBR3/VQReVhE5ovITyLSLxwJ5eTksHv37qLfP/1kFu0TEoIu543XXz2kSxxUlWtGX03b+HiuveGmoONTu3Rh7dofyFi3jtzcXN58/TV69b7oiJbhdbyqMmbkCNrGt+P6G4Nvw3DkEOnxEHo7hiOHUG3ZsgWAX375hffefZsBgwYHHGvnkrVBOOL9kIPX56K1obVBOOL9kENlOJeMKY1d5mAi1UzgDhH5HvgEeF1VPy98UkQaA7cDycBu4FNgebH4RkA3IB54H3irZAUiMgoYBdCkSdMKE9qyZTOXD+gLwIEDB+g3YBBnnXNeUDtV2Akx5bH/BhUH8NX8ebz68oskdOjIKV2SABh753j25+7n5huvY9vWrVx6cS86dU7kg49m/CE+OjqaSZOncGGvc8nPz2fosOFBd4aEWobX8fPnzeOVl1+kQ4eOpKUkAjDu7ns47/wLImYfvI6H0Nsx1ByGXj6YL76Yw6/bttG6RRP+dcdYhl01Iqh9GNS/L7/99itVo6vy0MOPUrt27YBj7VyyNghHvB9yCMc+XHn5IOZ+Podt27bRqnkct98xjmHDAzsfrQ2tDcIR74ccKsO5NPSKwcx1/7e2admEf90+ljp16/K3G68jJycH4EMRWaaq5wZVsIlooqpe52DMIRGRKOB0oCfOfAm3AsOAm4E44BJVHepuex1wkqr+VUSmArNU9WX3ud2qWrO8upJSUvXzeQsPOddq0aENAsovCP08jari72FSxgQiHP+z/D5k0BhjjDnSCkJ4r9ntlC4sWZweUf9co+o212P/9G+v0wjInreGL1bVVK/zKI2NTDARS1XzgTnAHBH5BhgaRPj+Yr9H1B8/Y4wxxhhjjPGazZlgIpKItBWRNsVWJQI/F3u8CDhDROqISDTQ90jmZ4wxxhhjjDGVmY1MMJEqBnhERGoDB4C1OPMbvAWgqlkicg+wEPgN+A7Y6U2qxhhjjDHGGFO5WGeCiUiquhg4tZSnehT7/RVVfdIdmfAO8K4bO6xEWTGHJ0tjjDHGGGOM//j/touRwC5zMJXZWBFZBqwE1uF2JhhjjDHGGGOMCY2NTDCVlqre7HUOxhhjjDHGGFMZWWeCMQGoQui3dwxFOG7ruOKX0KaM6NT0+JBzMCZUNiTRGGOMCb8qIbzXjNT/zPaeInR2mYMxYbJv3z66ndKVrsmdSe6cwF3jgr937cwZ0+mU0JaE+NZMnHDfEY3fv38fV11yJkN6ncbA807myYfuAeDuW//KkF6n0SWpE4MG9CM7OxuAp/77BKmJHUlLSeTMM7rx7erVnu8DwOirh9O0cX1SEjsEHRuO+sNRhtfx1oaht0Go8RDaPqxfv55zz+pJUqf2JHdOYMrDk49oPNhxEI76w1HG0R7v9bnoh3ivc7C/J+GJ9/rvUVmv47h/387q1asRkWUiMlNEGh9SgiYyqaottthSwZKcnKJ787TcZU9ugW7dvlv35qnu2pOrqV266py5X1UYV7hk7zugLVq21NVrftSdOfu1Y8dOumT5qrDFL/hxR7nL12u362crMnXBjzt03ndbNaFzij791iydvewXXfDjDt2bp3rt9TfqnePv1b15qpt/3VlU9ptvv6dnn3PuYd+HQJZZn36u8xcs1vYJCUHFhat+r9vA2tD7NghHfKj78NMvG3T+gsW6N091y2+7tHWbNkc03o6DytEGkR4f6mvoh32oDMeR/T3x/lgOR/1lvY6bf92pyckpqqoA1wFPeP2+PZClSp3mGtN/akQsQLrX7VVmO3rblWFM5SEixMQ4N4bIy8vjQF5eUMOnFi1cSKtWrWnRsiXVqlXjsgEDmfbBe0csXkSoXsPJ/8CBPA4ccPKPqVkLcDoe9+3dW7RPtWrVKorNyclBRDzfB4Bup3enbt26QcWEs36v28Da0Ps2CEd8qPvQqFEjkpKTAahZsybx8e3YsCHriMXbcVA52iDS48H7c9HreD/kYH9PvD+Ww1F/Wa9j8feDQA1ADylJD4hIRCx+Zp0JxoRRfn4+aSmJNG1cnzPPOpuuaWkBx27YkEVcXJOix7GxcWRlBf7PNtR4cPK/vHc3zuvahq6n9aRDYioAd/79GprHNWTNmu+45i/XFm3/xGOP0r5tK277v7/z4KSHfbEPoQhH/V63gbWh920QDuHch58zMli2bCldugb+9yjUeDsOKkcbRHp8OHi9D5XhOCruaP174vWxHO76S76OWVlZiMh6YAhwR4jpmghy1HcmiEi+e43PShF5U0Sqe52TF0Qku4Lna4vINYdQ7lgRKfOuCm7bvxZAOYkickGxxxeJyK0VxNwpIme5v99wJF7bqKgoFixextqMTNIXLWTVypWHu8qwioqK4qVpX/LBvFWsWr6YH9c48yDcMeExfvplA/Hx7XjrjdeLth9zzV9YveZH7r7nfu67526v0jbGlCE7O5tB/fsy8cGHSn57dETijTGmkP09qRxKex1jY2NR1SbAy8BfPU3QHFFHfWcCsFdVE1W1A5ALjCn+pIhUijteiCOU17s2EHRnQnlEpB0QBZwuIjUq2DwRKOpMUNX3VbXc2WNU9Q5V/cR9eANwxDqKateuzRk9ejJz5vSAYxo3jiUzc33R46ysTGJjY49YfHE1a9Um5ZTT+eqL2UXroqKiuGzAQN59539/2L7/gIF88P67vtqHQxGO+r1uA2tD79sgHMKxD3l5eQzq35cBg4bQ55JLg84hlHg7DipHG0R6fDh4vQ+V4TgC+3vi9bEcrvoDeB1fBvoecqIm4lhnwsHmAq1FpIeIzBWR94HVIhIlIhNFZJGIrBCR0QAiUkVEHhOR70Rkloh8JCL93OcyRGSciCwRkW9EJN5d31VEvhKRpSIyX0TauuuHicjbIjJdRH4QkQmFSYnIeW45y0VktlvvDyJyYrE81hY+LhbXXETWiMgLwEqgiYjcUmw/xpVsABGJcesozPti96n7gFbuSIKJ7ralliUit4nI9yLyJdC2nPYeBLwIzAQK60FEurhts1xEForI8cCdwAC3/gFue00RkeNF5OfCjhIRqSEi60WkqohMFZF+InId0Bj4TEQ+E5HhIvJQsfpGisikcvIMyNatW9mxYwcAe/fuZfYns2jbNj7g+NQuXVi79gcy1q0jNzeXN19/jV69Lzpi8dt/3cbuXU7++/btZeGXc2jWsjXrM34CnDkTpn3wPie5+7T2hx+KYj/+6ENat27j+T6EKhz1e90G1obet0E4hLoPqsqYkSNoG9+O62+8Kej6Q42346BytEGkx4eD1/tQGY4j+3vi/bEcjvrLeh2Lvx/EeT//XViSPgKCnbvAq8XPKsW37uEgzgiE84HCr5KTgQ6quk5ERgE7VbWLiBwDzBORmUAK0BxoD9QHvgWeLVbsNlVNFufygJuBq3FOsNNV9YA4Q/Dv4fcevEQgCdgPrBGRR4B9wFNAdzeXuqpaICIv4VyX9BBwFrBcVbeWsmttgKGq+rWInOM+7opzS9j3RaS7qn5RbPt9wCWquktE6gFfi9OpcqvbHolue5VaFpADDHT3JRpYAiwuo9kHAGcD8cC1wCsiUg14HRigqotEpBawB+f6q1RV/atb/zAAVd0pIsuAM4DPgN7ADFXNKzz5VPVhEbkJ6Kmq20QkBrhNRG5R1TzgKmB0yeTc130UQJOmTcvYhd9t2riRkcOHkp+fT4EW0Ldffy7o1bvCuELR0dFMmjyFC3udS35+PkOHDad9QsIRi9+2dRN33vJnCvLzKShQ/tSrD6f1PJfRA84nJ3s3x1QVOnbszMOPPg7A449N4bNPP6FqdFVq16nDU88+7/k+AFx5+SDmfj6Hbdu20ap5HLffMY5hw0ccsfq9bgNrQ+/bIBzxoe7D/HnzeOXlF+nQwbl9K8C4u+/hvPMvKD8wTPF2HFSONoj0ePD+XPQ63g852N8T74/lcNRf1us49blnWL16FSKyAviZEqO8TeUm7m08jloikg984z6cC/wNOBX4t6r2dLd5C+iE86EW4HicD58X4HyIf87d7m3gFVV9S0QygNNUNUtE0oDxqnqWiDQBHsb5IK5AVVWNdz8cn6aqI92yPgbGA3WAgao6pETeTYD33M6K14CXVHVaiW2aA5+pagv38QNAP2CHu0kMcK+qPiMi2aoaIyJVgUlAd6AAZ2RBC+BYYJp7OUiZZQE1gbqqeoe73X+ADar6QIncUoHJqnqaiETh/PHpBMTi3FLmtBLbD+OPnQmpqvpXERmM09kyRkTeAR5T1VkiMtXNufD1SFXVbW78U8BHOB1AL6pqF8qRkpKq8xakl7eJ7634ZWdI8Z2aHh+mTIwxxhhjTGVxWloqixen+/sr9BKi6rbQmHPv9DqNgOx67crFqppa1vMi8izOF6pbin1WmwhciHMZ/4/AVaq6w33u/4ARQD5wnarOcNefB0zGuQz96YouKQe7zAF+nzMhUVWvVdVcd31OsW0EuLbYdi1UdWYAZe93f+bz+yiQu3A+4HfAeYGPLWX7kjF/oKrrgc0icibO6ICPRaSJexnAMhEp7BUsuR/3FtuP1qr6TImihwAnAinuKITNJXIMpqzyDALi3Q/5PwK1OPRrrN4HzhORujijRT4NIOZpYBjOqITnDrFeY4wxxhhjTKSRCFoqNhU4r8S6WTijyjsB3wP/ByAi7XFGkSe4MY+Jc0l/FPAozkj99sAgd9tyWWdCYGYAf3a/tUdEThJnwsB5QF9x5ixoAPQIoKzjgcJ7sQwLYPuvge4iUji6oPgNZp8GXgLeVNV8VV1f7MP9E2Xsx3B3mD8iEisi9UvJb4t7mUBPoJm7fjfOqIOKyvoC6CMix4lITZwOk4OIM79Bf6CjqjZX1eY411gNAtYAjUSki7ttTfcSlJL1F1HVbGARTk/aNFXNL2Wzg+JVdQHQBBgMvFpaucYYY4wxxhjjZ+4l67+VWDdTVQ+4D78G4tzfLwZeU9X9qroOWIvzxXRXYK2q/uR+uf4axea0K4vNmRCYp3HmRlgizoX4W4E+wP+APwGrgfU48wNUNJZ8AvC8iPwL+LCiilV1q3vt/tvuh/AtOPMMgPON/HME+M26qs4U5w4KX7nzCWQDl7tlFnoZ+EBEvgHScSdRUdVfRWSeiKwEPlbVW0orS1WXiMjrwHK33EWlpHI6kKWqG4qt+wKnF+wEnLkUHhGR44C9OHNCfAbc6s6PcG8pZb4OvEnZHTpPAtNFZEPh5SvAG0Ciqm4vI8YYY4wxxhhjvFRPRIpfb/2kqj4ZRPxwnM9K4FxS/nWx5zLddeB8ni2+Pq2igo/6ORNCJSIxqpotIicAC3HmPdh0hOpOBSap6ulHor7KRkSm4bTf7Iq2tTkTbM4EY4wxxhjzRxE5Z8IJETRnwqvlz5kARXPlFc1vV2z9bUAqcKmqqohMAb5W1Zfc558BPnY3P09Vr3bXXwGkFc5XVxYbmRC6aSJSG6gG3HUEOxJuBf6MM8eBCYL7ei3EmTyzwo4EY4wxxhhjTOUh+P+2i6FyJ6zvDfxJfx9BkIVzqXehOH6/BL+s9WWyzoQQqWoPj+q9D6hwhk3zR+5Mpid5nYcxxhhjjDHGhJt7Z4a/A2eo6p5iT70PvOLeca8xzh0GF+JM9djGnacvC2eSxsEV1WOdCcYEQIGCgkO/JKhKFe97PkO9TOFAfkFI8dFRNt+rMcYYY4wx4SQir+LMG1dPRDKBf+PcveEYYJY7AuNrVR2jqqtE5A2cOf8OAH8pnLxeRP6KM8l+FPCsqq6qqG57d29MmIwZNZxmcQ1ITepYtO6ft95CUsd2dEnqRP9+l7Bjx45yy5g5YzqdEtqSEN+aiROCG3iyfv16zj2rJ0md2pPcOYEpD08Oeh9CqR8gc/16LjjnT6QmdqBLUkcem/IwAPfcNY6WzWJJS0kkLSWR6R9/5Nt9CDXeDzmEGj/66uE0bVyflMQOFW98GOoPtYx9+/bR7ZSudE3uTHLnBO4a9+9DyiE/P5+TU5O49OLeQcd63QaVId4POXgd74ccIj3eDzl4He+HHLyO90MOkR4fjvdofiMiEbFURFUHqWojVa2qqnGq+oyqtlbVJsXu9Dem2PbjVbWVqrZV1Y+Lrf9IVU9ynxsfUCOqqi222FLBkpScojn7C8pdZnwyR7/8Ol3btU8oWvfetOm6MydX9+ap3nTz3/Wmm/+ue/O01CV73wFt0bKlrl7zo+7M2a8dO3bSJctXlbl9yeWnXzbo/AWLdW+e6pbfdmnrNm2Ciq+o/t378itcfliXqXO/WqS79+Xrhq07tFXrNrpo6Tf6f7fdoffcP9HzfTjc8X7IIRz7MOvTz3X+gsXaPiEhqDi/tOGe3ALdun237s1T3bUnV1O7dNU5c78Kel/um/Cg9h84SM+/oFfEtUGkx/shB6/j/ZBDpMf7IQev4/2Qg9fxfsgh0uP35pX/Hi05OUW9fq8e7BJVt4XWHvJSRCxAutftVdZiIxOMCZNup3enbp26B6076+xziI52ribqmnYyWZmZZcYvWriQVq1a06JlS6pVq8ZlAwYy7YP3Aq6/UaNGJCUnA1CzZk3i49uxYUOF86aErX6Aho0akZj0ew5t4+PZkBV4Dl7vQzjawOscwrEP3U7vTt26dSve8DDVH2oZIkJMTAwAeXl5HMjLC3qSpczMTKZ//CFXDb86qDjwRxtEerwfcvA63g85RHq8H3LwOt4POXgd74ccIj0eQn+PZion60ww5gh5YeqznHve+WU+v2FDFnFxv0+iGhsbR1YQH8SL+zkjg2XLltKla4W3hz0s9RfmsGLZMlLdHJ54bApdkjox+urhbN++PaD4I70P4WgDr3MI9+sYLD+0ITiXKKSlJNK0cX3OPOtsuqYFfhwB3PK3Gxh/7wSqVAn+36Qf2iDS4/2Qg9fxfsgh0uP9kIPX8X7Iwet4P+QQ6fElHcp7ND/y+vKFcF3m4CXrTIhgIqIi8mCxxzeLyNgw19FcRFaGs8xy6qoiIg+LyEoR+UZEFrkziiIi/wywjIC2O9Luv3c8UdHRDBx8+O/kmZ2dzaD+fZn44EPUqlXrsNdXVg6XD7qM+x74D7Vq1eLqUWNYveZHFixeRsNGjbj1lr9VGO/1PpjIFhUVxYLFy1ibkUn6ooWsWhn4n7GPPpxG/RPrk5ySchgzNMYYYyKPvUczxVlnQmTbD1wqIvW8TiRMBuDcoqSTqnYELgF2uM8F2kngu86EF1+YykcfTmPqCy+X27vYuHEsmZnrix5nZWUSGxsbVF15eXkM6t+XAYOG0OeSS4OKDUf9hTlcPrAf/QcO5uI+Tg71GzQgKiqKKlWqMHzESNLTF/pyH8LRBl7nEK7X8VD5oQ2Lq127Nmf06MnMmdMDjvlq/jymTXuftq2bc+WQgcz57FOuuvLygOP90AaRHu+HHLyO90MOkR7vhxy8jvdDDl7H+yGHSI8vFMp7NFM5WWdCZDsAPAncWPIJETlRRP7nfru/SEROc9fXFZF3RWSFiHwtIp3c9WNF5EUR+UpEfhCRkaWU2VxE5orIEnc51V3fSES+EJFl7qiC09312SIyUURWicgnItJVROaIyE8iclEp+9MI2KiqBQCqmqmq20XkPuA4t/yX3bLfFZHFbtmj3HUHbVdyVEXxkRsicp2IrHbb4bVDfgUqMHPGdB56cCJvvfM+1atXL3fb1C5dWLv2BzLWrSM3N5c3X3+NXr1La6bSqSpjRo6gbXw7rr/xpqBzDbX+whz+Mvpq2sa349rrfz8sN23cWPT7e+++Q/uE0u8S4PU+hKMNvM4hHPsQCj+04datW4vunLJ3715mfzKLtm3jA46/a/y9/JiRyZq1Gbzw8mv06Hkmz73w0hHLPxxlRHq8H3LwOt4POUR6vB9y8DreDzl4He+HHCI9HkJ/j2Yqp2ivEzAhexRYISITSqyfDExS1S9FpCnOPUPbAeOAparaR0TOBF4AEt2YTsDJQA1gqYh8WKLMLcDZqrpPRNoArwKpwGBghqqOF5EooPBTcw3gU1W9RUTeAe4GzgbaA88D75co/w3gS7czYjbwkqouVdVbReSvqppYbNvhqvqbiBwHLBKR/5XcTkSal9NutwItVHW/iNQuZ7uADb1iMHO/mMOv27bRpmUT/nX7WB6YcB/7c/fT+7yzAWcSxkcee6LU+OjoaCZNnsKFvc4lPz+focOG0z4hIeD658+bxysvv0iHDh1JS0kEYNzd93De+RcEFB9q/eB8o/vqKy+R0KEjp3Z1Jun5951389brr/HNiuWICM2aN+eRx/7ry30IRxt4nUM49uHKywcx9/M5bNu2jVbN47j9jnEMGz7iiNUfahmbNm5k5PCh5OfnU6AF9O3Xnwt6BX97x0PlhzaI9Hg/5OB1vB9yiPR4P+TgdbwfcvA63g85RHo8hP4ezY/8Ph9BJBBV9ToHc4hEJFtVY0TkTiAP2AvEqOpYEdkCbCi2+YlAW2Au0FdVf3LLWA8kADcBVVT1Dnf9C8DbwDJgmqp2EJHjgSk4nQ/5wEmqWl1EugPPAi8B76rqMreM/cCxqqpujvvdDocqwG+qWruUfToGONNdRgCXqerswn0ttt1YnMsgAJoD56rq18W3czsTpqlqB/fxzcXaZzqQDbzr5pxdSi6jgFEATZo2Tfnuh4yyX4wKVKkS+X+sDuQXhBQfHWUDoYwxxhhjKpvT0lJZvDg9ot7sRp/QUo/vNd7rNALy24uDF6tqqtd5lMbe3VcOD+F88K5RbF0V4GRVTXSX2NI+MJdQsmep5OMbgc1AZ5wRCdUAVPULoDuQBUwVkSvd7fP0996qApw5HnAvYyh1VIyq7lfVj1X1FuAeoE/JbUSkB3AWcIqqdgaWAseWUtwBDj7Gi2/TC2dURzLOyIY/5KOqT6pqqqqm1qt3YmnpGmOMMcYYY8xRyToTKgFV/Q3nEoHi45BnAtcWPhCRRPfXucAQd10PYJuq7nKfu1hEjhWRE4AewKISVR3P73MaXAFEueU0Azar6lPA0zgf0IMmIski0tj9vQrOZRc/u0/niUjVYnlsV9U9IhKPc2kGpWy3GagvIie4Ix56Fyu7iap+BvzDLS8GY4wxxhhjTOUnEbT4mHUmVB4PAsXv6nAdkOpOMLgaGOOuHwukiMgK4D5gaLGYFcBnwNfAXapa/DIJgMeAoSKyHIgHctz1PYDlIrIU544Mkw9xH+oDH7iTJq7AGVkwxX3uSZy5IV4GpgPRIvKtuw9fFyujaDtVzQPuBBYCs4Dv3G2igJdE5BucUQ0Pq+qOQ8zZGGOMMcYYY446NmeCAYrmIMhW1Qe8zsWPklNS9cuvSg7UCJzNmWBzJhhjjDHGVEYROWdCvQiaM+EFmzPBGGOMMcYYY4wxlYTdGtIAoKpjvc7BGGOMMcYYY44EuzVk6KwzwZgAHe1/b0K9TCHUS6rsD74xxhhjjDH+YZc5GBMm+/bt4/RT00hLSSSlcwfuGvfvoMuYOWM6nRLakhDfmokT7ou4+H379tHtlK50Te5McueEQ2qDRx+ZTGpiR1I6d2DKww8FHR/qPoy+ejhNG9cnJbFD0LHhysHr+FDbINT6w1GG1/Hr16/n3LN6ktSpPcmdE5jycPDz0nq9D17H+yEHr+P9kIP9PYn8eD/k4HW8H3KI9Phw/F8zlZCq2mKLLRUsSckpuie3oNwlZ3++bvltl+7JLdCdOfs1tUtXnTN3vu7JLdC9eVrhkr3vgLZo2VJXr/lRd+bs144dO+mS5asCivVD/N481T25Bbp1+27dm6e6a0+u2wZfFT1X0bJoyQpt3z5Bt+3I1l17crXnmX/Sb1Z/f8TacG+e6qxPP9f5CxZr+4SEoOL88jp43QbhqN/rNgjHPvz0ywadv2Cx7s1T3fLbLm3dpk1E7YPX8X7Iwet4P+Rgf08iP94POXgd74ccIj1+b175/9eSk1PU6/fqwS7RJ7TUesNei4gFSPe6vcpabGSCMWEiIsTExACQl5dHXl5eUNdGLFq4kFatWtOiZUuqVavGZQMGMu2D9yImHv7YBgfy8oK6PGHNd9+S2rUr1atXJzo6mm6nd+e9d98+ovvQ7fTu1K1bN6iYcObgdTyE1gbhqN/rNgjHPjRq1Iik5GQAatasSXx8OzZsyIqYffA63g85eB3vhxzs70nkx/shB6/j/ZBDpMdD6P/XTOVknQnGhFF+fj5pqUk0i23An/50Fl27pgUcu2FDFnFxTYoex8bGkZUV+B9pr+ML5efnk5aSSNPG9TnzrLPpmhZ4G7RP6MD8L7/k119/Zc+ePcyY/jGZmesDjg/XPoTC69fB6zYIR/1et0G42/DnjAyWLVtKl6Po74EdB9YG4WBtaG0Qjng/5BDp8SUdyv81UzlFfGeCiKiIPFjs8c0iMjZMZY8VkT0iUr/YuuxwlF2inqki0i/c5ZZT1zoRWS4i34vICyISV+z5j0Sk9pHIpSIicpuIrBKRFSKyTETS3PU3iEh1r/MrTVRUFAvSl/LDuvWkpy9i1cqVXqd0xEVFRbFg8TLWZmSSvmhhUG0Q364dN93ydy684Fwu7n0+nTp3Jioq6jBma8zhlZ2dzaD+fZn44EPUqlXL63SMMcaYkFSm/2siEhGLn0V8ZwKwH7hUROodpvK3AX87TGV75RZV7Qy0BZYCn4pINQBVvUBVd3iZHICInAL0BpJVtRNwFlD4FfUNgC87EwrVrl2b7mf0YNbM6QHHNG4ce9C38FlZmcTGxkZMfEm1a9fmjB49mRlEGwAMu2oE8xekM+vTz6lduw6t25wUcGy49+FQeP06eN0G4ajf6zYIVxvm5eUxqH9fBgwaQp9LLg0q1ut98DreDzl4He+HHOzvSeTH+yEHr+P9kEOkxxcK5f+aqZwqQ2fCAeBJ4MaST4hIcxH51P1me7aINHXXTxWRh0Vkvoj8VMGogGeBASLyhwv+RORyEVnofmv+XxGJctcPEpFvRGSliNxfbPtsEZnkfts+W0ROLKXMO0RkkRv7pLjdUSJynYisdvflNXfdWBF5XkTmisjPInKpiExw654uIlXLazh1TAI2Aee7ZWaISD0RqSEiH7ojGFaKyAD3+RQR+VxEFovIDBFp5K4f6ea9XET+VzhyQEQuc+OXi8gX7rooEZnobr9CREaXkl4jYJuq7ndz3aaqG0TkOqAx8JmIfOaW97iIpLvtOq5YW14gIt+5uT4sItPc9TVE5Fn3tVsqIheX106B2rp1Kzt27ABg7969fDr7E05qGx9wfGqXLqxd+wMZ69aRm5vLm6+/Rq/eF0VMPPyxDWZ/Mou2QbQBwJYtWwBY/8svvP/uOwwYODjg2HDsQ6i8fh28boNw1O91G4RjH1SVMSNH0Da+HdffeFNQseHIIdLj/ZCD1/F+yMH+nkR+vB9y8DreDzlEejyE/n/NVE7RXicQJo8CK0RkQon1jwDPq+rzIjIceBjo4z7XCOgGxAPvA2+VUXY2TofC9UDRfe5EpB0wADhNVfNE5DFgiIh8AtwPpADbgZki0kdV3wVq4MzGeaOI3OGW99cS9U1R1TvdOl7E+Xb+A+BWoIWq7peDL0NoBfQE2gNfAX1V9e8i8g7QC3i3zFb73RK3HYrPxHIesEFVe7m5HO92TjwCXKyqW90OhvHAcOBtVX3K3fZuYIS77R3AuaqaVSzvEcBOVe0iIscA80RkpqquK1b/TOAOEfke+AR4XVU/V9WHReQmoKeqbnO3vU1Vf3M7c2aLSCfge+C/QHdVXScirxYr+zbgU1Ud7ua0UEQ+UdWcANqqTJs2bmTkiGEU5OdTUFDApf0u44JevQOOj46OZtLkKVzY61zy8/MZOmw47RMSIiYe3DYYPpT8/HwKtIC+/foH1QYAgwf047dff6Vq1apMengKtWvXPqL7cOXlg5j7+Ry2bdtGq+Zx3H7HOIYNH3HEcvA6HkJrg3DU73UbhGMf5s+bxysvv0iHDh1JS0kEYNzd93De+RdExD54He+HHLyO90MO9vck8uP9kIPX8X7IIdLjIfT/a6ZyElX1OoeQiEi2qsaIyJ1AHrAXiFHVsSKyDWjkftivCmxU1XoiMhWYpaovu2XsVtWapZQ9Fqcz4WlgGdDRLSNGRP4K/BPY4m5+HPAqzmUDfVX1SreMEUCCqt4kIvnAMap6QERa4nwAT3Tzmaaqb4lIX+DvOMP46wKPqOp9IjLdzeVd4F1VzXbzy1PV8SJSxd33Y1VV3fb4TVUfKrFPRXUVWzcZp+PgfhHJAFLdumcCr7vbzxWRDsB84Cc3NMptj3NE5AzgbqA2EAPMUNUxIvIETofHG+7+/ioibwGdgD1uOccDo1V1Zolco4DTcTpLRgO3qurUwhwLOxNEZAwwCqdzrBFwLfAdMFlVz3C3uQgYpaq9RSQdOBZnVAvuvp6rqt+WqH+UWy5NmjZNWbM2g0MlPr/e6UgI9W+NtaExxhhjjP+clpbK4sXpEfVGrWq9Vlrn4nu9TiMgW58dsFhVU73OozSVZWQCwEM437A/F+D2+4v9XngpwXicb/NR1cTCJ1V1h4i8AvylRMzzqvp/xQsNcsj8QZ+uRORY4DGcD8rr3c6CY92newHdgQuB20SkY/H9UNUCEcnT3z+xFRD465sEzD4oMdXvRSQZuAC4W0RmA+8Aq1T1lFLKmAr0UdXlIjIM6OGWM0aciRN7AYtFJAWn7a5V1RnlJaWq+cAcYI6IfAMMdespIiItgJuBLqq63e0sOZbyCU6Hz5oK6n8S5xIaklNSI7vXzRhjjDHGGGPCqDLMmQCAqv6G8+138bFz84GB7u9DgLkVlHGbqiYW70go5j84344XfkCfDfQT904PIlJXRJoBC4Ez3HkHooBBwOduTBWgcH6GwcCXJeoo/BC8TURiCrd1Rx00UdXPgH/gfJMfU96+BEIc1+F8mz+9xHONgT2q+hIwEUgG1gAnijM5IiJSVUQKx0jVBDa6I0CGFCunlaouUNU7gK1AE2AG8Gd3W0TkJBGpUaL+tiLSptiqROBn9/fdbn0AtYAcYKeINMCd+8HNtaWINHcfDyhW1gzgWpGi+SiSKmwsY4wxxhhjjDFFKtPIBIAHOXgOgmuB50TkFpwPslcdasGqus2dh+BG9/FqEfkXzpwIVXAusfiLqn4tIrcCn+F8A/6hqhbORZADdHXjtnDwB9zCERBPAStxJkVc5D4VBbwkIse7ZT7sbnuouzNRRG7HuZTia5z5B3JLbNPR3a7A3bc/q2quOJNVPuzmEo0zImQVcDuwAKedF/D7h/2JbqeA4HTALAdWAM2BJe4H+q38PpdFoRjgEXdOgwPAWtxLDnBGC0wXkQ2q2lNEluJc1rAemAegqntF5Bp3uxx+b0uAu9y8V7iv3TqcuSmMMcYYY4wxlZ3YJbThEPFzJkSSwvkdvM7jaCEiMe7cEoIzSecP7t0rgpackqrzvl5U8YZl53LIsZWFzZlgjDHGGFP5ROScCSe20roX3+d1GgHZ8kx/386ZUGkuczCmFCNFZBnOyInjce7uYIwxxhhjjDEmRJXtMgdfs1EJR5Y7CuGQRiIYY4wxxhhjjCmbdSYYEwDBhtmHKtT2W//rnoo3qkCTE6qHXIYxxhhjjIl89t4+dHaZgzFhsm/fPrqd0pWuyZ1J7pzAXeP+HXQZM2dMp1NCWxLiWzNxQvDXcXkd73UOG7MyueLS8zn/9BQu6J7K8089CsCO7b8xrH9vOrRrQ6/zzmb79u0A7Ny5k759Lix6zV6Y+pznbTD66uE0bVyflMQOh1R3ofz8fE5OTeLSi4ObWzQcx3E49sHrYznUffD6OAo1fv369Zx7Vk+SOrUnuXMCUx6efETrD1cZkR7vhxyO9nPJD+eC121QGeL9kEOkx5d2Lt9951haNovl229XIyLLROSCoAs2Ec0mYDQmACkpqTpvQXq526gqOTk5xMTEkJeXx5lndOOB/0wm7eSTA6ojPz+fju1P4sOPZxEbF0e3k7vw/Euv0q59+4iIP9w5BDIyYcvmjWzdvImETklkZ+/m0nO68dhzr/H26y9xfJ063D32DiZOuI8d27cz/t77mXDfPezcuZPx997P1q1b6dT+JGrXqcNH0z/xrA2+nPsFNWrEcPXwK1m8bGXA9ZY0edJ/WLIknd27dvH2e9MCjgv1OIbQ98EPx3Io++D3cykQGzduZNPGjSQlJ7N7925OTUvhjbferTR/TyIh3g852Lnk/bnghzaI9Hg/5BDp8VD6uXz3nWOpERPDW6+/FpETMJ7Q536v0wjI5qcvswkYjansRISYGGdajLy8PA7k5QU1fGrRwoW0atWaFi1bUq1aNS4bMJBpH7xXcaBP4v2QQ/0GjUjolARATExNWrVpy+ZNG5g940Mu6T8EgMuvGMoH778LOK9Z9u7dzgfo7Gyq16jheRt0O707devWDarOkjIzM5n+8YdcNfzqoGNDPY4h9H3w+jiC0PahMpxLjRo1Iik5GYCaNWsSH9+ODRuyjlj94Sgj0uP9kIOdS96fC35og0iP90MOkR4P4Xl/4jciEhGLn1lngjFhlJ+fT1pKIk0b1+fMs86ma1pawLEbNmQRF9ek6HFsbBxZWYG/YfE63i85FMr85WdWr1xO5+QubNu6hfoNGgHQsGFDtmzeDMCYa/7Kd999S8umjUlN6sjgIVfQpEnTkOoP5z4cqlv+dgPj751AlSqH9ic+lOM4HPx0HB2KynYu/ZyRwbJlS+nS9cj9PQtHGZEe74cc7Fw6mBfngh/aINLj/ZBDpMeX54nHprB69WpE5FkRqROWQk3EsM4EnxKRPiKiIhJfbF1zEVnp/t5DRAIfuxyenDJEpF4F2wwTkcYBlDVHRHw5XCcUUVFRLFi8jLUZmaQvWsiqlYc+TN0cupycbK69ejD/vHMCMTVrHfRc8V7eWTNn0KlzIj/9soEF6cuY+twz5OblepFy2Hz04TTqn1if5JSUQy7DjmNTKDs7m0H9+zLxwYeoVatWxQHGVFJ2LhjzRyNH/5nVa36kXbt2ABuBBz1OyRxh1pngX4OAL92fIRORI3XnjmFAhZ0JwRKRqHCXeTjVrl2bM3r0ZObM6QHHNG4cS2bm+qLHWVmZxMbGRky8X3LIy8vj2hGDufDSAZzb62IA6p1Yny2bNwLO9a8n1q8PwIvPP8fFl1yKiNCqdWvi4prww/ffh1R/OPYhFF/Nn8e0ae/TtnVzrhwykDmffcpVV15+SGUdynEcDn44jkJRmc6lQf37MmDQEPpccmlQsZWhDbyO90MOdi45vDwX/NAGkR7vhxwiPb4sDRo0ICoqqvBLmqeAriEXeoQI3l++YJc5mMNCRGKAbsAIYGAA29dwhxYtFJGlInKxu36YiLwvIp8Cs0Wkuoi8ISKrReQdEVkgIqkiMlxEHipW3kgRmVROfc1F5FsReUpEVonITBE5TkT6AanAy+LM6HqciPzJzekbN8djSinvHBH5SkSWiMib7v4XjoS4X0SWAJe5eS0SkeUi8j8Rqe5uN1VEHhaR+SLyk5tHYdn/cOteLiL3uetaich0EVksInOLj/4IxdatW9mxYwcAe/fuZfYns2jbNvCiU7t0Ye3aH8hYt47c3FzefP01evW+KGLi/ZCDqvLPG/9MqzZtGT7muqL1Z55zAe+88TIAL734PL0vdDoZmjRpypxPZwOwefNmNm3ayOZNmzxtg1DdNf5efszIZM3aDF54+TV69DyT5154KeD4UI/jcPD6OApVZTmXxowcQdv4dlx/401B5R6O+sNRRqTH+yEHO5e8Pxf80AaRHu+HHCI9viwbN24s/vASwIYyHmWO1LfVJjgXA9NV9XsR+VVEUlR1cTnb3wZ8qqrDRaQ2sFBEPnGfSwY6qepvInIzsF1V24tIB2CZu80bwG0icouq5gFXAaMryLENMEhVR4rIG0BfVX1JRP4K3Kyq6SJyLDAV+JO7Ly8AfwYeKizEvWziX8BZqpojIv8AbgLudDf5VVWT3W1PUNWn3N/vxulsecTdrhFOB0w88D7wloic77ZlmqruEZHCWWOeBMao6g8ikgY8BpxZwf5WaNPGjYwcPpT8/HwKtIC+/fpzQa/Ab8sXHR3NpMlTuLDXueTn5zN02HDaJyRETLwfcli88Cvee+tV2rZL4KI/OXcfuOn/xjLq2r9x/agr6NDuRZo2bcZLr74BwK233c6oEcNITeyIotxz7wTq1K3raRtcefkg5n4+h23bttGqeRy33zGOYcNHBJVDKEI9jiH0ffD6OAp1HyrDuTR/3jxeeflFOnToSFpKIgDj7r6H884P7K5flaENvI73Qw52Lnl/LvihDSI93g85RHo8lH4uf/H5HFYsX8aPP/4I0JOKPz+YSsZuDelD4syFMFlVZ4nIdUBTVb1ZRJoD01S1g4j0wPnQ3ltE0oFjgQNuEXWBc4E04AxVvcot91233M/cx0uAUe4H/6eAj4BvgRdVtUspeWXgjDyIAWapaht3/T+Aqqp6t4jM4ffOhM7AI6ra3d3uT8BfVPXSwu2AhjgdDpluNdWAr1R1hFvfGar6sxt/BnA3UNvNYYaqjhGRqW4+L7vb7VbVmiLyIPBdYQeE+1wMsBVYU2zXjlHVdqXs7yhgFECTpk1Tvv/x55KbmCMokFtDVqTJCdXDkIkxxhhjjCl0WlpqxN0astqJrbXepRO8TiMgG5/s69tbQ9rIBJ9xvz0/E+goIgpEASoit5QXhjMyYM1BK51v3XMCrPpp4J/Ad8BzAWy/v9jv+cBxAdZTkuB0BJQ1N0Tx/KcCfVR1uYgMA3qUkU95f8yqADtUNbGixFT1SZxRDKSkpFqvmzHGGGOMMZVFRHV/+JPNmeA//XBGBjRT1eaq2gRYB5xeTswM4FpxZ+gQkaQytpsH9He3aQ90LHxCVRcATYDBwKsh5L8bqOn+vgZoLiKt3cdXAJ+X2P5r4LTCbdz5H04qo+yawEYRqQoMCSCXWcBVxeZWqKuqu4B1InKZu07cERTGGGOMMcYYYwJknQn+Mwh4p8S6/1H+XR3uAqoCK0Rklfu4NI8BJ4rIapzLBVYBO4s9/wYwT1W3H0rirqnAEyKyDKe/7yrgTRH5BigAnii+sapuxbkDxKsisgL4Cmfeg9LcDizA6RT5rqJEVHU6zvwJ6W4+N7tPDQFGiMhynDa4OOC9M8YYY4wxxhhjcyYcTcS5vWJVVd0nIq2AT4C2qprrPj8NmKSqs73M049SUlJ13oJ0r9M4qtmcCcYYY4wx/hORcybUb60n9p3odRoB2fDEpTZngvGF6sBn7mUCAlyjqrmFd4AAlltHgjHGGGOMMcaYilhnwlFEVXfj3I2h5PodQFnzFBhjjDHGGGOMMQexOROMMcYYY4wxxhgTFBuZYEwAFCgoOPT5RapUiajLyHwpHPMd5Ow7EFJ8jWPtT6YxxhhjKp9Q3udG6gx87o3wTAhsZIIxYbRjxw6GDLyMpI7tSO7UngVffxVU/MwZ0+mU0JaE+NZMnHBf0PWPvno4TRvXJyWxQ9Cx4ag/HGV43QaPT3mI07p0plvXREZedTn79u3j+mtGcsYpyXRJ6sSgAf3Izs4+rPvgdbwdR6G3Qajx4H0beB3vhxy8jvdDDpEe74ccvI73Qw5ex/shh0iPHzNqOM3iGpCaVHRneVasWE7P7qfy7epViMgHIlIr6IJNZFNVW2yxpYIlKTlFc/YXVLgMvvxKffTxJzVnf4Fu371Pszb/pjn7C3Rvnla4ZO87oC1attTVa37UnTn7tWPHTrpk+aqAYguXWZ9+rvMXLNb2CQlBxYWr/lDLONxtsG13XrnLN2sytGmz5rp+yy7dtjtPL76knz7y+NO6LutX3bY7T/fmqV57/Y165/h7fdsGdhx53wbhiPe6DbyO90MOXsf7IYdIj/dDDl7H+yEHr+P9kEMkxFf0HnfGJ3P0y6/TtV37hKJ1ySmpOn3WZ5qUnKLAcOAur9+zB7pUPbGVxv75nYhYgHSv26usxUYmGBMmO3fuZN7cLxh61QgAqlWrRu3atQOOX7RwIa1ataZFy5ZUq1aNywYMZNoH7wWVQ7fTu1O3bt2gYsJZf6hleN0GAAcOHGDf3r0cOHCAPXv20LBRY2rWcjraVZV9e/eWOyzO6zbwug3tOApPvNdt4HW8H3LwOt4POUR6vB9y8DreDzl4He+HHCI9Htz/a3UO/r+29ofv6XZ698KHs4C+QRXqMRGJiMXPrDPBmDDJyFhHvRNPZPTI4ZzSNZlrxlxNTk5OwPEbNmQRF9ek6HFsbBxZWVmHI9XDVn+oZXjdBo0ax/KX624ksX1LElo3odbxtej5p7MBuHbMCJrHNWTNmu+45i/XllmG123gdRvacRQeXreB1/F+yMHreD/kEOnxfsjB63g/5OB1vB9yiPT4srRrn8C094s6JS4DmpSzuamErDMhTEQkTkTeE5EfRORHEZksItW8zqs8InKCiCxzl00iklXscVcRefgI51NdRF4WkW9EZKWIfCkiMSJSW0SuCSA+oO0Ol/wDB1i2dAkjR43hq4VLqF69Bg9OPLTr+ow3dmzfzscffsDib35g5Q+/sCdnD2+89jIAjzzxDD/9soH4+Ha89cbrHmdqjDHGGOOtx//7DE/+93G++/ZbgJpArscpmSPMOhPCQJzxJ28D76pqG+AkIAYYX8q2nk4HX7x+Vf1VVRNVNRF4AphU+FhVF6rqdUc4veuBzaraUVU7ACOAPKA2EEgnQaDbHRaNY+OIjYujS9c0AC65tB/Lli4NPL5xLJmZ64seZ2VlEhsbG/Y8D2f9oZbhdRt8Pmc2zZo1p96JJ1K1alV6X9SHRQt+n0QzKiqKywYM5N13/ldmGV63gddtaMdReHjdBl7H+yEHr+P9kEOkx/shB6/j/ZCD1/F+yCHS48vSNj6eDz6aQXy7dgCvAj+GXOiRJBGy+Jh1JoTHmcA+VX0OQFXzgRuB4e637cNE5H0R+RSY7a57Q0RWi8g7IrJARFIBRORxEUkXkVUiMq6wAhHJEJFxIrLE/eY+vmQSInKsiDznPr9URHq66w+qP5AdEpEeIjLN/f2MYiMWlopITRFpJCJfuOtWisjp7rbZxcroJyJT3d9PFJH/icgidzmtlGobAUVjrlR1jaruB+4DWrl1TXRHK8wu1hYXuyEltyvaBzeHKSIyzP39Prf9V4jIA4G0SUUaNmxIXFwTvl+zBoA5n80u/OMakNQuXVi79gcy1q0jNzeXN19/jV69LwpHakes/lDL8LoN4uKakL5oIXv27EFV+WLOp5zUNp6fflwLOHMmTPvgfU5q+4fTr4jXbeB1G9pxFB5et4HX8X7Iwet4P+QQ6fF+yMHreD/k4HW8H3KI9PiybNmyBXDeHwH/wvly0hxF7Kbp4ZEALC6+QlV3icgvQGt3VTLQSVV/E5Gbge2q2l5EOgDLioXe5m4ThdPx0ElVV7jPbVPVZHco/83A1SXy+ItTtXZ0OxtmishJJes/hP27GfiLqs4TkRhgHzAKmKGq491cq1dQxmSckQ9fikhTYAZQ8pP2s27O/XA6PZ5X1R+AW4EO7giKwtEVl7htXA/4WkTeL2W7HqUlIiInAJcA8aqqIlK7jO1GuftJk6ZNK9g9xwOTHmb4sMvJzc2lRYuWPPHUswHFAURHRzNp8hQu7HUu+fn5DB02nPYJCQHHA1x5+SDmfj6Hbdu20ap5HLffMY5hw0ccsfpDLcPrNkjpksaFfS7lzG5diY6OpmPnzlx51Ugu6XU2u3fvQgQ6duzMw48+ftj2wet4sOMIQmuDcMR73QZex/shB6/j/ZBDpMf7IQev4/2Qg9fxfsgh0uMBhl4xmLlfzOHXbdto07IJ/7p9LNnZ2Tz5xGOsX/8LwAbguaAKNRFP3J4kEwIRuQ5ooao3lli/FBiK80H+DFW9yl3/LjBZVT9zHy8BRqlquoiMwfkAG43zTf21qvqaiGQAp6lqloikAeNV9awS9b0DPKKqn7qP5+J0MBxUfxn7MBbIVtUH3Mc9gJtVtbeI3Irz4ftl4G1VzRSR7jgf/l/CubxjmRuXraox7u/9gN6qOkxEtuD8kSl0ItBWVbOLrcPtrDgHOAsYDJwC7AWmuZc+ICJVgUlAd6AAaAu0AI4tsV3RPriPpwDpbs6L3WWaG1PuNV7JKan65VeLytukXFWq+HyM0lEiZ9+BkOJrHGv9r8YYY4ypfAoKDv0zYbdTurBkcXpEvdmtVr+1Nuj/oNdpBCTz0T6LVTXV6zxKY5c5hMdqIKX4ChGpBTQF1rqrKpzWX0Ra4IwC+JOqdgI+xPmAXGi/+zOf4EeVBH5bgRJU9T6cURDHAfNEJF5Vv8D5MJ8FTBWRKws3LxZaPPcqwMnF5mSILdmR4NaVrapvq+o1OB/6LyglpSE4nREp7iiEzSXqKnSAg4/xY906DgBdgbeA3sD0chvAGGOMMcYYU6mID277GMjiZ9aZEB6zgeqFH6jdYf8PAlNVdU8p288D+rvbtgc6uutr4Xzo3ykiDYDzg8xjLs4HbdzLG5oCa4Is4w9EpJWqfqOq9wOLgHgRaYYzWeJTwNM4ox8ANotIOxGpgjOaodBM4NpiZSaWUs9pIlLH/b0a0B74GdiNM0NsoeOBLaqaJ868EM3c9SW3+xloLyLHuJcy/MktOwY4XlU/wpnbonOwbWKMMcYYY4wxRzMbsxsG7nX3lwCPicjtOJ00HwH/LCPkMeB5EVkNfAesAnaq6g/upRHfAetxOh2C8RjwuIh8g/Ot/DBV3R+GHq0b3A/tBW6uHwMDgVtEJA/IBgpHJtyKc+nAVpxLCmLc9dcBj4rICpzj7gtgTIl6Wrn5C04bfgj8z23feSKy0q37fuADdz/TcdoLVf21+HaqeouIvAGsBNYBhbdWqAm8JyLH4syRelOoDWSMMcYYY4wxRxObM8ED7siFqqq6T0RaAZ/gzB9g92b1KZszoXKwOROMMcYYY/7oaJsz4ZgGbbThgP94nUZAfnnkIt/OmWDvjL1RHfjMnUhQgGusI8EYY4wxxhhjTKSwzgQPqOpuwJe9S8YYY4wxxhhjTEWsM8GYAAh2qUJlEOplCvvy8kOKP7ZqVEjxxhhjjDGHQyjvc+0d8tHL7uZgTJiMvno4TRvXJyWxwyGXMXPGdDoltCUhvjUTJ9wXcfF+yMHreIBO8a04tUsip6el0PO0NADuu3scLZvFkpaSSFpKItM//si3++B1vB9y8DreDzl4He+HHLyO90MOkR7vhxy8jvdDDl7H+yGHSI/ft28f3U7pStfkziR3TuCucf8Ougy/8fqWj5Xh1pCoqi222FLBkpyconvztNxl1qef6/wFi7V9QkKF25a2ZO87oC1attTVa37UnTn7tWPHTrpk+aqIifdDDoc7fvueAwEtTZo207W/bDpo3T/+ebvec/9Ez/fB7/F+yMHreD/k4HW8H3LwOt4POUR6vB9y8DreDzl4He+HHCI9fm+e6p7cAt26fbfuzVPdtSdXU7t01Tlzv9K9earJySnq9Xv1YJdq9Vtrs+s+iIgFSPe6vcpabGSCMWHS7fTu1K1b95DjFy1cSKtWrWnRsiXVqlXjsgEDmfbBexET74ccvI4PB6/3wet4P+TgdbwfcvA63g85eB3vhxwiPd4POXgd74ccvI73Qw6RHg/Ot/gxMc4d3/Py8jiQl+f/b83NYWedCcb4xIYNWcTFNSl6HBsbR1ZWVsTE+yEHr+MLiQiXXng+PU7tytRnnipa/8RjU+iS1InRVw9n+/btvtwHr+P9kIPX8X7Iwet4P+Tgdbwfcoj0eD/k4HW8H3LwOt4POUR6fKH8/HzSUhJp2rg+Z551Nl3T0oIuw0+8vnyhMlzmYJ0JlZCIZJeyboyIXOn+Hi8iy0RkqYi0CrDMOSKyxo1bJiJvhTvvMuq9QUSqH4m6jAmXjz/5nM+/WsSb707j6ScfZ96XXzB85BhWr/mRBYuX0bBRI2695W9ep2mMMcYYE7CoqCgWLF7G2oxM0hctZNXKlV6nZDxmnQlHCVV9QlVfcB/2Ad5S1SRV/TGIYoaoaqK79At/lqW6ATgqOhMaN44lM3N90eOsrExiY2MjJt4POXgdX1SOG3Ni/fr0vvBilqQvon6DBkRFRVGlShWGjxhJevpCX+6D1/F+yMHreD/k4HW8H3LwOt4POUR6vB9y8DreDzl4He+HHCI9vqTatWtzRo+ezJw5/ZDLMJWDdSYcJURkrIjcLCIX4HxA/7OIfOY+d7mILHRHHPxXRAK+f52IvFdsxMNoEXnZ/X2OiEx2y1wpIl3d9TVE5Fm3vqUicrG7PkpEHnC3XSEi14rIdUBj4LNiuT4uIukiskpExhXLI0NExonIEhH5RkTi3fUxIvKcu26FiPQVkeEi8lCx2JEiMimU9g2H1C5dWLv2BzLWrSM3N5c3X3+NXr0viph4P+TgdTxATk4Ou3fvLvr909mzaNc+gU0bNxZt896779A+ofS7fni9D17H+yEHr+P9kIPX8X7Iwet4P+QQ6fF+yMHreD/k4HW8H3KI9HiArVu3smPHDgD27t3L7E9m0bZtfFBl+I5EyOJjod103UQcVf1IRJ4AslX1ARFpBwwATlPVPBF5DBgCvFBK+Msistf9fZaq3gKMAuaJyDrgb8DJxbavrqqJItIdeBboANwGfKqqw0WkNrBQRD4BrgSaA4mqekBE6qrqbyJyE9BTVbe5Zd7mro8CZotIJ1Vd4T63TVWTReQa4GbgauB2YKeqdgQQkTpAHnCbiNyiqnnAVcDoQ29Vx5WXD2Lu53PYtm0brZrHcfsd4xg2fETA8dHR0UyaPIULe51Lfn4+Q4cNp31CQsTE+yEHr+MBtm7ZzOUDnYE7+QcO0Lf/QM465zxGjxjKqhXLERGaNW/OI4/915f74HW8H3LwOt4POXgd74ccvI73Qw6RHu+HHLyO90MOXsf7IYdIjwfYtHEjI4cPJT8/nwItoG+//lzQq3dQZZjKR1TV6xxMmIlItqrGlFg3lt87EIr//lfgn8AWd9PjgFdVdWyJ+DnAzaqaXkp9g3E6Hy5R1Q+KbX+nqn7qPv4F6AR8AhwLHHDD6wLnAncDT6jqrBJlZwCphZ0JIjIGpwMjGmgEXKuqr7nbnaaqWSKSBoxX1bNEZDEwUFV/KFHuU8BHwLfAi6rapZT9GuXWRZOmTVO+//HnkpuYo8y+vPyQ4o+tGvCgH2OMMcaYiHBaWiqLF6f7/Dv0gx3ToI02HvyQ12kEJOOh3otVNdXrPEpjIxOMAM+r6v+FUEZH4FecSxKKK9lTpW59fVV1zUFJBDBTqYi0wBlx0EVVt4vIVJyOiUL73Z/5VHxsP43TifId8FxpG6jqk8CTACkpqdbrZowxxhhjjDEumzPBzAb6iUh9ABGpKyLNAg1250I4H0gCbnY/8Bca4G7TDedSg53ADOBacXsPRCTJ3XYWMFpEogvzcNfvBmq6v9cCcoCdItLArbcis4C/FMu3DoCqLgCaAIOBVwPdX2OMMcYYY0zkC+V2jUdy8TPrTKicqotIZrHlprI2VNXVwL+AmSKyAufDd6MyNn9Zfr815CcicgzwFDBcVTfgzJnwrPx+1O8TkaXAE0Dh5AF3AVWBFSKyyn0MzkiBX9z1y3E+5IMzMmC6iHymqsuBpTijCV4B5gXQFncDdcSZ2HE50LPYc28A81R1ewDlGGOMMcYYY4xx2ZwJ5rAob44FvxCRacAkVZ1d0bYpKak6b4Fvd8UcITZngjHGGGPMwSJ1zoTYIZO9TiMg6yb1sjkTjPGLwrtIAMsD6UgwxhhjjDHGVCIS2JxtpnzWmWAOC1Xt4XUOZVHVHcBJXudhjDHGGGOMMZHKOhOMMSZAoV6mUFAQ2mVlVapYD7oxxhhjjPEHm4DRmDCaOWM6nRLakhDfmokT7jvq4kMtY/TVw2nauD4piR0Oqe5Q6w9HfKhljBk1nGZxDUhN6li07s6xt9M1pTNpKYn0Pv8cNmzYcFj3wet4P+Tgdbwfcgj1fKwMbeB1vB9yiPR4P+TgdbwfcvA63g85RHp8uMowlYyq2mKLLRUsyckpujdPy12y9x3QFi1b6uo1P+rOnP3asWMnXbJ8VYVxlSU+HGXM+vRznb9gsbZPSAiq3khpg5z9BRUuMz6Zo19+na7t2icUrdu4dYfm7C/QvXmqD/xnsl49crRv28APx1Gkx/slh1DOx8rQBl7H+yGHSI/3Qw5ex/shB6/j/ZBDpMdXVEZycop6/V492OWYBq211d8+iogFSPe6vcpabGSCMWGyaOFCWrVqTYuWLalWrRqXDRjItA/eO2riw1FGt9O7U7du3aDqDGf9vmmDOge3Qa1atYp+37Mnp9wJg7xuAz+0YaTH+yWHUM7HytAGXsf7IYdIj/dDDl7H+yEHr+P9kEOkx4erDFP5WGeCMWGyYUMWcXFNih7HxsaRlZV11MSHq4xQVOY2GHvHbbRu0YTXXn2Z28feedjq9zreDzl4He+XHEJRGdrA63g/5BDp8X7Iwet4P+Tgdbwfcoj0+HCVYSof60wwFRKROBF5T0R+EJEfRWSyiFQ7hHKyQ8yj3HgRqS0i1xxCuWNF5OZDz8yYw2/sneNZu249AwcN4YnHpnidjjHGGGNMBBNEImPxM+tMMOUS5wh+G3hXVdvg3FIxBhhfyrYh3R1EHKEck7WBoDsTwqVx41gyM9cXPc7KyiQ2NvaoiQ9XGaE4GtpgwKAhvPvO/w5b/V7H+yEHr+P9kkMoKkMbeB3vhxwiPd4POXgd74ccvI73Qw6RHh+uMkzlY50JpiJnAvtU9TkAVc0HbgSGi0h1ERkmIu+LyKfAbBGJEZHZIrJERL4RkYvLK1xEmovIGhF5AVgJNBGRW0RkkYisEJFxpcSUVcd9QCsRWSYiE91tSy1LRG4Tke9F5EugbRjaidQuXVi79gcy1q0jNzeXN19/jV69Lzpq4sNVRigqaxus/eGHot+nvf8eJ7WNP2z1ex3vhxy8jvdLDqGoDG3gdbwfcoj0eD/k4HW8H3LwOt4POUR6fLjKMJVPSN8km6NCArC4+ApV3SUivwCt3VXJQCdV/c0dnXCJu0094GsReV9VtZw62gBDVfVrETnHfdwVEOB9Eemuql8U235faXUAtwIdVDURoKyygBxgIJCIcw4sKbmPhyI6OppJk6dwYa9zyc/PZ+iw4bRPSDhq4sNRxpWXD2Lu53PYtm0brZrHcfsd4xg2fMQRq98PbTD0isHM/WIOv27bRpuWTfjX7WOZMf1jvv9+DVFVqtC0WTMefvSJw1a/1/F+yMHreL/kEMr5WBnawOt4P+QQ6fF+yMHreD/k4HW8H3KI9PhwleE3Pr+CICJI+Z/xzNFORK4DWqjqjSXWLwWG4nQknKGqV7nrqwKTgO5AAc63/i1UdZOIZKtqTIlymgOfqWoL9/EDQD9gh7tJDHCvqj5TGF9WHcCxwDRV7VBeWUBNoK6q3uFu9x9gg6o+UCK3UcAogCZNm6Z8/+PPwTegMcUUFIT297ZKFfuvZ4wxxhh/OS0tlcWL0yPqTcqxDU/Splc+7HUaAflh4vmLVTXV6zxKYyMTTEVW43wgLyIitYCmwFqczoScYk8PAU4EUlQ1T0QycD7kl6d4vOB0Hvy3nO0DraPUskTkhgryAUBVnwSeBEhJSbVeN2OMMcYYY4xx2ZwJpiKzgeoiciWAiEQBDwJTVXVPKdsfD2xxP+T3BJoFWd8MnPkYYtz6YkWkfoB17MYZdVBRWV8AfUTkOBGpCVwYZI7GGGOMMcYYc1SzkQmmXKqqInIJ8JiI3I7TAfUR8M8yQl4GPhCRb4B04Lsg65spIu2Ar9xboWQDlwNbKqpDVX8VkXkishL4WFVvKa0sVV0iIq8Dy91yFwWTozHGGGOMMSay+f22i5HA5kwwJgApKak6b0G612mYCGdzJhhjjDGmsonUOROaDX3E6zQC8v2E83w7Z4Jd5mCMMcYYY4wxxpig2GUOxhhjjDHGGGOOHmK3hgwH60wwxpgjJNTLFH7aklPxRhVoXq96SPF2qYUxxhhT+RzILzjkWLto/uhllzkYE2b5+fmcnJrEpRf3Djp25ozpdEpoS0J8ayZOuC/i4v2Qg9fxXuewMSuTYf3O58IeKVzUM5UXn370oOcnT3qQGsdUYdu2bQetX5y+iFrVq/L0U09w/jlnktI5gdTEDjz6yOSDtnto0oMcV1X+EF/c+vXrOfesniR1ak9y5wSmPDy5zG3LEkobjL56OE0b1yclsUPQ9YL3+YerjEiP90MOXseHeix7He+Hc2nfvn10O6UrXZM7k9w5gbvG/Tuo+FDbALw/jvzwOngd74ccvI4Px7EMzvvc09JS6HeJczO0/z7+KKtWrUREVETqhVS4iTg2AaMxAQhmAsbJk/7DkiXp7N61i7ffmxZwHfn5+XRsfxIffjyL2Lg4up3chedfepV27dtHRLwfcvA6/nDnEMjIhK2bN7F1yybad0wkJ3s3l513Og8/+yqtT2rHxqxM7v3ndXz//Xd8+VU69erVK6qz9wXncOwxx3LhxX1ISk4hKSmZ3bt30+3kVF576x3atWtP5vr1/OXPI1mz5jvmL1hcFF/Sxo0b2bRxI0nJThmnpqXwxlvvHrHX4cu5X1CjRgxXD7+SxctWBhTjp/zDUUakx/shB6/jIfRj2et4P5xLqkpOTg4xMTHk5eVx5hndeOA/k0k7+eSA4kNtAz8cR16/Dl7H+yEHr+Oh4mM50JEJj0yexNLF6ezavYu33vmA5cuWMmrEMFavWvkzkKqqZX/b4CPHNjpJm0fIBIxr7rcJGI05KmRmZjL94w+5avjVQccuWriQVq1a06JlS6pVq8ZlAwYy7YP3IibeDzl4He+HHE5s0JD2HRMBqBFTk5Zt2rJl00YA7h/7D+6+9/4/3Arp8UcfoU+fSzmxfn3q1KlDUlIyADVr1qRtfDs2ZGUB8I9bbmL8vRMqvJVSo0aNSEr+vYz4+HZs2JAV8D6E2gbdTu9O3bp1A96+JK/zD0cZkR7vhxy8jofQj2Wv4/1wLokIMTExAOTl5XEgLy+o28GF2gZ+OI68fh28jvdDDl7HQ+jHMkBWZiYzPv6IoVeNKFrXOTGJY445JqRyvSA4l25GwuJn1plgTBjd8rcbGH/vBKpUCf7U2rAhi7i4JkWPY2PjyMoK/J+91/F+yMHreL/kUChr/c98u3I5nZJS+XTGNBo0akynTp0Pri8riw/ef5eRo//8h/ifMzJYvnwpXbqmMe3992jUuDGdOnf+w3bl+Tkjg2XLnDICFc42CJVX+Xt9HHkd74ccvI6vbLz8W5Cfn09aSiJNG9fnzLPOpmta4DmEym/HkRevg9fxfsjB6/hw+cctN3LXPfcd0vtcUzkdtiNBRPJFZJmIrBSRN0Wkuog0F5Hgx4j5kIjcICLViz3+SERqH0I5w0RkSinrG4jINBFZLiKrReSjAMrKCPRaJRFJFJELgs3XS+7+feMuq0XkbhE51uu8Cn304TTqn1if5JQUr1MxhpycbG4YOYRbx91PVHQ0Tz7yAH+9+V9/2O7vN9/IXeP/+MYgOzubwQP7MeGBSURHRzNxwr3c/u87g8ohOzubQf37MvHBh6hVq1ZI++OFSM/fGL/w+lyKiopiweJlrM3IJH3RQlatrBRvRYPm9etgItvHH03jxBPrk5Rs73PN7w7n3Rz2qmoigIi8DIwB3g6lQBGJVtUDYcgtHG4AXgL2AKhquD+Y3wnMUtXJACLSKczlJwKpQIWdFF4o57XuqarbRCQGeBL4LzA0wNjD6qv585g27X2mT/+I/fv2sWvXLq668nKee+GlgOIbN44lM3N90eOsrExiY2MDrt/reD/k4HW8X3LIy8vjhpFD6HXJAM6+4GK+/3YlWb9kcOnZpxAdJWRlZnLaySl8/uUClixOZ+gVgwD4dds2Zkz/CBSee/ZpBgwczMV9LmXlym/IyFjHyV0SnZwyMzmlazJz5y+kYcOGZeYwqH9fBgwaQp9LLg0q/3C0Qai8zt/r48jreD/k4HV8ZeH1uVRc7dq1OaNHT2bOnE5Ch9AmoQuUX44jL18Hr+P9kIPX8eHw9fz5fPThB8yc/jH79u9j965dXD3sCp6e+uIRzSOc7NaQoTtSY1TmAq3d36NE5CkRWSUiM0XkOAARGSkii9xv4v9X+K2/iEwVkSdEZAEwwX38uIh8LSI/iUgPEXlWRL4VkamFFbrbpLv1jCu2vouIzHfrWSgiNUUkSkQmuvWvEJHR7rY9RGRasdgp7kiC64DGwGci8pn7XNGoABG50i1nuYi86K67UEQWiMhSEflERBpU0GaNgMzCB6q6orycisX93f3mfqGItHa3ucwdIbJcRL4QkWo4nRUD3NEjA0Skq4h85eY3X0TaurHDRORtEZkuIj+IyIRidZ8nIkvccme762q4r8dCt6yLS+6YOCa6OX0jIgOK7dtcEXkfWF1e46hqNk4HVR8RqVsyVkqMghGRm0VkrPt7F/f1WVaYRwWvRUDuGn8vP2ZksmZtBi+8/Bo9ep4ZcEcCQGqXLqxd+wMZ69aRm5vLm6+/Rq/eF0VMvB9y8DreDzmoKnf87Rpatm7LsNHXAnBSuw7MXZHBrAWr+fb7dcTGxTHv68U0bNiQ1d//xLffr+Pb79fR59J+TJo8hQ8//IC28fFcd8NNAHTo0JGfMzfz7ffrWLM2g9i4OL5auKTMjgRVZczIEbSNb8f1N94UcO7haoNQ+SF/r48jr+P9kIPX8ZWBH86lrVu3smPHDgD27t3L7E9m0bZtfNC5HCo/HEdevw5ex/shB6/jw2Hc3few5sdfWPX9T0x94RW69+gZ0R0JJjwOe2eCiEQD5wPfuKvaAI+qagKwA+jrrn9bVbuoamfgW2BEsWLigFNVtfAvYB3gFOBG4H1gEpAAdBSRRHeb29xZLzsBZ4hIJ/dD9OvA9W49ZwF73bp2qmoXoAswUkRalLVPqvowsAHnW/KeJfY3AfgXcKZbx/XuU18CJ6tqEvAa8PfyW45HgWdE5DMRuU1EGlewfaGdqtoRmAI85K67AzjXzeciVc11172uqomq+jrwHXC6m98dwD3FykwEBgAdcTogmojIicBTQF+33MvcbW8DPlXVrkBPYKKI1CiR46VumYWvwUQRaeQ+l4zz+pxU0Y6q6i5gHc4xFUzsc8Bod+RMfkX1HCnR0dFMmjyFC3udS2LHdvS9rD/tExIiJt4POXgd74ccliz6ivf/9yoL53/OpWefwqVnn8IXs2cEHP/9mjW8+vKLfD7nM07uksTJXZKY/nFwA5jmz5vHKy+/yOeffUpaSiJpKYlBlRFqG1x5+SB6nH4K369ZQ6vmcUx99pmIyj8cZUR6vB9y8DoeQj+WvY73w7m0aeNGzjurJ12SOtHtlC786ayzuaBX4LduDrUN/HAcef06eB3vhxy8jofQj+WyPP7oI6z8ZgU4n9dWiMjTYSnYRITDdmtIEcnn9w6EucDfcL7Nn6Wqbdxt/gFUVdW7ReQM4G6gNhADzFDVMe5og89U9Xk3Zqpbxssi0tLdrrC8F3A6Jd4VkTHAKJxLORoB1wKrgCdU9bQSub6F0+mwx111PDAayAVuVtXe7nZTgHRVnSoiGRS7/UnhY2AQ0FBVbytRR0fgQTeXasA6VT3PHVWQqqp/LaUN6wLn4XTGnAN0wOk0KS+nM1X1JxGpCmxS1RNE5AmgFfCG2z6/lqxXRJoAD+N8MFf3dYl3tztNVUe6230MjMfp0BmoqkNK5JwOHAsUXmZQF6cj49ti20wCvlHVZ93HLwJvAruAf5fsoCkWd1Cbu+uW47zOxxWPFZHmwDRV7eA+vhnnuHoIWK6qzdz1nYBXCrcrUd8ot2yaNG2a8v2PP5eWljFHTCC3hqxI83rVK96oHH6fVdgYY4wxwQv01pCl6X5qV5YsTo+oNwjHNTpJW4141Os0ArJq/Dm+vTXkEZkzoZA4F6bsL7YqH+dDIMBUoI+qLnc/wPYotl3Jd9CFZRSUKK8AiHZHFdwMdFHV7W4HRHkT9Qlwraoe9PWdiHTj4NEboUz29wjwH1V9X0R6AGMrClDV34BXgFfcSxu6A5sryElL/u52yqQBvYDFIlLazCl34XTaXOJ+EJ9T7LmSr1l5x43gjFZYU8425Qn405KI1ASaA9/jjHIoHnuAEF87VX0SZ14GUlJSD0+vmzHGGGOMMcZEID/d16MmsNH9Rn1IRRtXoBbOB8ud7twE57vr1wCNRKQLOB9G3cswZgB/dutGRE5yh+b/DLQXkWPEuVPDn4rVsdvNuaRPgctE5AS3rMIbuh4PFN7DZWgpcQcRkTPl93kjauKMLPilgpzAuRyh8OdXbnwrVV2gqncAW4EmpeRfPL9hFeUHfA10L7wcpNh+zgCuFbfnSESSSomdi3O5RJR7uUR3YGEAdRYRZwLGx4B3VXV7KZtsBuqLyAkicgzQG0BVdwC73c4VgIHB1GuMMcYYY4wx5vCOTAjW7cACnA+7Cyj9g3pA3NENS3HmAVgPzHPX57qT/T0izsSPe3Gu2X8a5xvuJe6H4K04oyTWi8gbwEqca/OXFqvmSWC6iGwoPixfVVeJyHjgc/dSj6U4H87HAm+KyHacDocy52RwpQBTRKTwG/anVXURQDk5AdQRkRU4owkGuesmikgbnFEDs4HlOB0Tt4rIMuBeYALwvIj8C/iwgtxQ1a3uZQBvi0gVYAtwNs4Ih4dwrpmq4uZY8uLEd3DmvFiOM3ri76q6SUQCmRHpM/c1quKWc1cZ+eWJyJ04nRRZOMdCoRHAUyJSAHwO7AygXmOMMcYYY4wxrsM2Z4IxfiUiMe7dIBCRW4FGqnp9eTEpKak6b0H6EcnPmLLYnAnGGGOMORyOujkTGp+krSNkzoSVdx+dcyYY41e9ROT/cI7/nwnssg5jjDHGGGOMMS7rTDBHHfdWmK97nYcxxhhjjDHGRCrrTDDGGGOMMcYYc9QQiu40aEJgnQnGBEAJ7Vqy6Cg/3TjFRKqmJxxX8UYVSM8o7eYngevasm7FGxljDrtwzHllb6SNMYXyCw79b4pNwectEXkWZ8L7LarawV1XF2ckdnMgA+ivqtvdiewnAxcAe4BhqrrEjRkK/Mst9m5Vfb6iuu0TjjFh8udRI2jRpCFdkzsVrbvnrnGc1LIJaSmJpKUkMv3jj8otY+aM6XRKaEtCfGsmTrgvqPrXr1/PuWf1JKlTe5I7JzDl4clB78Poq4fTtHF9UhI7BB1byMt9CEcbhJJ/uMoINb60YxHgicemcMV5aQztdSqPTxhbauz+/fsY3e8shl/UnaG9TuXZh536/zq4FyMuPoO0lERaNG3MZX37FMV88fkc0lISSe6cwNlnnsHDD00iuXMCKYkduPLyQezbty+o/EN9HUM9jvft20e3U7rSNbkzyZ0TuGvcv4MuI9QcvD6Ww9EGleFc8jo+1OMgc/16zjv7TJI7JZDSuQOPPuLN38T8/HxOTk3i0otL3tzp8Nfv9bnkh3g/5OB1fDjKCPV/m9dtEI423LFjB1cO7k+XxAS6JnVg4YKvuOqKQXz33WpEZJmIZLh3ijNH1lTgvBLrbgVmq2obnLv53equPx9o4y6jgMehqPPh30Aa0BX4t4jUqahiu5uDMQFITknVL+YvLHebL+d+QUxMDKNGDGPhkhWA05lQIyaGv918S4V15Ofn07H9SXz48Sxi4+LodnIXnn/pVdq1bx9Qjhs3bmTTxo0kJSeze/duTk1L4Y233g04vnAfatSI4erhV7J42cqA4/yyD6HGh5p/OMooLz7Q0TGlHYtfzPmMifffy20Pv0i1asew/det1DnhxD/Eqip79+RQvUYMB/Ly+OvgC7j2tntISOwCOCMTBvbvy4UXXsyQK65kx44d9Ox+Ku9Nm07Tpk1ZsXw5/fv1YemK1Rx33HEMGdSf8867gCuGDgusAQn9dQz1OFZVcnJyiImJIS8vjzPP6MYD/5lM2sknB1xGqDl4fSyH2gZ+P5ciIR7KPw4Cef+2ceNGNm3aSFKSE39aWiqvv/VOUQ4VjUwIxz4ATJ70H5YsSWf3rl28/d60gOMOdxseiRy8jvdDDl7Hh6OMrKws/tSj2yH/b/O6DQKJ35+XX2E5Y0ZexamnduPKq0aQm5vLnj17qF27Nj1OS2PpknQRkQeBnap6Z0CJeah645O09dWPeZ1GQL656+wK7+YgIs2BacVGJqwBeqjqRhFpBMxR1bYi8l/391eLb1e4qOpod/1B25XFRiYYEybdTu9OnTqHPgR80cKFtGrVmhYtW1KtWjUuGzCQaR+8F3B8o0aNSEpOBqBmzZrEx7djw4asoHLodnp36taN3H0INT7U/MNRRjhyKO1YfPqpJ7jp5r9TrdoxAKV2JIDz4aJ6jRgADhzI48CBAwd94Ni1axeff/YpF17cB4DXX32Fi/tcStOmTQE4oV49Dhw4wN69e52fe/bQqHHjoPIP9XUM9TgWEWJinDbIy8vjQF5e0MPBQ83B62M51DaoDOeS1/EQpr+JSb/Ht/Xgb2JmZibTP/6Qq4ZfHVRcuOr3+lzyOt4POXgdH64yQvnf5nUbhGP/d+7cyfwv53LFsOEAVKtWjdq1axc97w6f7w+U++HTPwSRyFgOUQNV3ej+vun/2Tvv+Kiq9A8/L4SsCiKyFCEBaUoglJAEYkEFu4KKggIWQJq667q2dfe3KmJbC7rWVRddu2vvqAgWEAGBhCZFigKSgCsoICWQwvv7Y27iENMmM+Sem7wPn/Nh7rnn+57vOXNnMnPmnHOB5t7jBGB9WLlsL6+s/HKxwQTD2M9MfPxf9OzRjctGj2TLlrLXq2/YkENiYqvi44SERHJyIhsMKGLd2rUsXLiAnr0yqqSvKi61oSr6WPiPNkYs+zCc1atWMWvml1x+/ilcdfFZLF88v8yyhYWFjDrnBAYck0T6MSfQufuvg+Hvv/sOfU48iYYNGwKwatVKtm7Zwqkn9eGYXmlM++xTrr7meo5s15q2rVrQsOEhnHzKqVX27de1XFhYSEZaCq1bNuPEk0+hV0b11h+OX9dyNH1QE15LfutLEov3xEWLqv86+st1V3PnXfdSp07kHzld6EO/rwN7LbnRBwkJCVH9bfO7D2LRh+vWrqFJkyb84bJRHHdUOn+6Yiw7d+4ML3Ic8D9VXRVRYKMyNBGRzLA0NhKxhqay7ZflCDaY4Agi8ntvrdFCEflBRHK8x1tFZJnf/mKFiPQXkQUiskhElonIZX572p+MHns5i5evYk7WQg5r0YK//eW6/V7njh07GHrBQCbc/2DxF76gEW0bakIfxJqCggK2bPmZx1+bwhU3jGf81aPKnCZdt25d/vPudF6f/jXLFy/gu5XLi8+99urLXDB46D5x58/P4u33PuC9Dz/mjtvH89qrL7N81Rq++34DO3ft5OWXXqySZz+fx7p16zInayGr12aTOW8uS5dEvlQhFlgfGBCj98TBg7j3vgeq9Tr68INJNGvajNS0tGqrsyzs74IRDVu2bGHS++/G5G9bUCksKGDRwgWMGn0ZM77K5KD69XngvnvCiwwlMLMSAsdmVU0PSxMrofmft7wB7/8fvfwcoFVYuUQvr6z8crHBBEdQ1Z9UNUVVU4AngAe8xylAlW8jICK+3bFDQtQJO64HTATOUtXuQA9gWgTxom5LdfdHs+bNqVu3LnXq1GHkqDFkZpa970LLlglkZ/86uygnJ5uEhApnF+1Dfn4+Qy8YyOChFzHg3POq7LuquNCGaPSx8B9tjFh4KI2EhATOPudcRIRO3dKoU6cO27b8VK7m4IaH0COjN3NnfArA1p9/InPeXM44s9+vcRMTOeXU06hfvz5NmjTh8MPbcNBBB9G0aVPq1avHgAHn8dXsWRH79ftaLqJRo0ac0KcvU6ZMrva6/b6Wi6hKH9SE15Lf+iJi8Z544eBBDBl6YbVfR7NnzWTSpPfo2KENwy4awrTPP+PSYRdXW/1F+Pla8lvvgge/9bGI8dmnn9CmTdsq/23zuw9i0ocJibRMSCTdm9lzzrnnsXjhAqD47jLnEbp7QGAQCUaqIu8Bw73Hw4F3w/KHed/TjiK0x8VG4GPgVBE51Nt48VQvr1xsMCEY1BWRJ0VkqYhMEZEDAUSkvYhMFpEsEZkhIkle/rMi8oSIzAHuFZFeIjLbmxEwS0Q6euVGiMi7IjJNRFaJyC1e/m0icnVR5SJyp4j8uaQpEblWRJZ46Wovr42IrBCR54El7DvCdTCh25H+BKCqe1R1RZjnQWGxd3j/9/Ha9h6wTETqiMhjIvKNiEwVkQ+LdCKSJiLTvf74OGw0bpqIPCgimcCNIrLGG9hARBqGH8eaHzZuLH787jtv0zm57J3d03v2ZPXqVaxds4a8vDxef/UV+vU/u9J1qSqXjxlFx6RO/Pmaa6PyXVX8bkO0+mj9xyJGLDyURv+zz+GL6dMAWL9mNfn5eRxy6O9/U27rz5vZ/ss2APbsziVz1jRatzsCgOkfv8cZZ/bngAMOKC5/1lnnMGvmlxQUFLBr1y7WrVvL+u+/Z9euXagqn3/2KR2TOkXk1e9redOmTWzduhWA3NxcPv1kKh07JlWrB7+v5Wj7oCa8lvzWQ2zeE68YO5qOSUlcdXX1X0e333kX367NZsXqtTz/0iv06Xsizzxf+V9zXehDv68Dey250QetWrVm7tyvqvy3ze8+iEUfNj/sMBITE1m1cgUA0z//jI6dQn2wffsvAN+oanZEQY2YICIvA7OBjiKSLSKjgLuBU0RkFXCydwzwIfAdsBp4EvgDgKr+DNwOzPPSbV5eufj2q7UREUcAQ1V1jIi8BgwEXiT0K//lqrpKRDKAx4ATPU0icIyqFopIQ+A4VS0QkZOBf3gxIHTrjy6E7jM6T0Q+AJ4G3gIe9GYWDPHKFSMiacClhG4fIsAcEZkObPH8DlfVr8I1qvqzNyiwTkQ+BSYBL6tqRTMvUoEuqrrGGzhoA3QGmgHLgae9wYBHgHNUdZOIDAbuBEZ6MeKLdkGV0G6n/YB3vLa9par5JSv11iONhdAfkYq49JILmTFjOj9t3kzH9q35+0238OUX01m8eBF1RDi8TRseeezfZerj4uJ44KFHOavfaRQWFjJ8xEg6JydXWG8Rs2bO5L8vvUCXLl3JSEsB4NY7/sHpZ5xZ6RjDLh7KjOnT2Lx5M+3bJHLzuFsZMXJUpfV+tyFafbT+YxEjFh5KuxYvGT6SP4wdxYj+xxJXL56/3/2vUjf1+enH//GPv/2RvYWFqO6lz+kDOKbvaQB89uHb3Drupn3KJ3XqxCmnnU7P1G7UqVOHP/zxKrZu3cLRvVKJi4uje/cejBoT0dK+qJ/HaK/jHzZuZMzI4RQWFrJX9zJw0AWc2S+yW9pF68HvaznaPqgJryW/9RD9dTB7Vpg+vUdIf/ud1fqeGA0u9KHf14G9ltzog14ZGZx73qAq/23zuw9i9Vq+5/6HGHPpMPLy82jTpi2P/fs/AEV7gtkSB59Q1aFlnDqplLIK/LGMOE8T+h5YaezWkA4iIuOBHap6n/fFd6p3j1BE5K9APeBBYBOwIkz6O1XtJCLPAp+r6nOephXwMKEv+QrUU9UkERkBnKiqw7xytwE/q+qDIjIVuIHQzp+jVXVQWD14MxV+r6rjvOPbPT/veXW3Lad9XQmNkA0DFqnqCM/zJFV9wyuzQ1UbiEgf4BZV7evlP+hpnvGO3wL+C3wDzCI00gZQF9ioqqeKyDQvxnRPcyxwg6qeIyKzgTGqWu5i4MrcGrI84uraJCAjeip7a8jymL9ua1T6Xu2qfocCwzBiRyw+v5U2oGgYRu2kMreGLIuiW0PG0M5+56CWHbXjZY/7baNSLBx/UoW3hvQLm5kQDPaEPS4EDiS0RGWrt69CaYRvr3o7oS/453qDE9PCzpX8NFJ0/BQwAjiMCEeoStT9G1T1a+BrEXkBWOPVU4C37MabDRFf2XgeAixV1aMr8qSqM73lGH2AuhUNJBiGYRiGYRiGYRj7Yj+XBhRV/QVYIyLnQ/Fmh93LKH4Iv+7GOaLEuVNEpLG3D8MAYKaX/zZwOtCT0jffmAEMEJGDRKQ+cK6XVyYiUjTToIgUYJ33eC1QtN3z2YRmX5TGTGCgt3dCc6Ao3gqgqYgc7dVVT0TKm7/1PKEZDc+U59kwDMMwDMMwDMP4LTaYEGwuAkaJyCJgKXBOGeXuBe4SkQX8djbKXOBNYDHwpqpmAqhqHvA58Jqq/mbek6rOB5719HOAp1R1QQV+BbjB26BxIXArvw5uPAmc4LXlaMqejfAmkA0sI7RvxHxCu5DmAYOAe7wYC4FjyvHyEnAotr7LMAzDMAzDMAwjYmyZg4Oo6viwx2sJbZBYdHxf2OM1hGYPlNSPKHE8GzgyLCt8B7VsVR1QMoa31OAo4PxyfP4T+GeJvH38lji3HSh1xyNV/Z9XXxF/9fKnEbYsQ1X3isj1qrpDRH5PaDDja+/cQuD4UmL3KaXK3sAbqrq1ND+GYRiGYRiGYdRQorvtouFhgwnGbxCRzoTutPC2qq7y208pTBKRRoT2VbhdVX+IRCwijwBnUMbAhmEYhmEYhmEYhlE+NphQi1HVZwktVSiZvwxoV91+KksZMw0i0f8pRlYMwzAMwzAMwzBqJTaYYBiVQLDbOxr+E4trsGfbQ6PS790b3e3o6tSJbk6h3Q7PMELYdWwYRiz5Xb26VdZG+afdFwR7H40F9u3IMGLEZaNH0rplM9JSSt0yolJM+Xgy3ZI7kpzUgQn33h04fbQxakIfuuAhWv1lY0ZyeEJz0lO6RqwFuHzsSA5PbE56j1/1t42/mV5p3clIS6H/GaeyYcOGcmNEdR1F6R+ivxZrwnVkfeC/3gUP0ejXr1/PaSf3pUe3zqR2T+bRhx+q1vpjFSPoehc8+K13wYPf+lh8xurYoQ3pKV3JSEvh2Iz0Kscxag4Si195DKOmk5aWrjPnZJZb5ssZX1C/fgNGjxxG1sIlEddRWFhI185H8sFHU0lITKT3UT157sWX6dS5cyD0sYgR9D50wUNF+sq853854wvqN2jAmEuHk7nw633OVeZPRrF+5HAyF4T0v/zyCw0bNqROHeFfjzzMN8uX8chjT0Tchmj9Q+V+iYjmWqwJ1xFYH/itd8FDtPqNGzfyw8aN9EhNZfv27RyTkcZrb7xjfWjXkfVBwN7Ti+jYoQ0zv8qkSZMm++Qfm5FOVlZmoH7mr5/QUZMuL/1ziGvMH3dilqo6OXpjMxMMI0b0Pu54GjduXGX9vLlzad++A23btSM+Pp7zBw9h0vvvBkYfixhB70MXPMSiDb2PO57Gh1b9eShN37Bhw+LHu3btLPcLfUyuoyj8F8eo4rVYE64jsD7wW++Ch2j1LVq0oEdqKgAHH3wwSUmd2LAhp9rqj0WMoOtd8OC33gUPfush+s9YhlEaNphgGI6wYUMOiYmtio8TEhLJyan8hy6/9bGKEQ01oQ/81u9Pxo+7kQ5tW/HKyy9x8/jbyiznchsqQ024jqKlJvSB33oXPMTyOlq3di0LFy6gZ6+Maq3f7z7wW++CB7/1LnjwWx8rRISzzjiVY3ql8Z8nJ1Z7/bFGJBjJZWwwwXACESkUkYUislREFonIdSJSpetTRNJF5OFYezQMIzrG33Ynq9esZ8jQi3jisUf9tmMYRjWxY8cOhl4wkAn3P7jPLCXDMILFp9O+ZPa8+bwz6SP+/fi/+HLGF35bMnzGBhMMV8hV1RRVTQZOAc4AbqlKIFXNVNWrYuquGmjZMoHs7PXFxzk52SQkJARGH6sY0VAT+sBvfXUweOhFvPP2m2WeD0IbyqMmXEfRUhP6wG+9Cx5i0Yb8/HyGXjCQwUMvYsC550WktT60PoiF3gUPfutjRVGdzZo14+wB5zJv3txq92C4hQ0mGM6hqj8CY4ErJURdEZkgIvNEZLGIXAYgIq+ISL8inYg8KyKDRKSPiEzy8hqIyDMi8rWnHejlnyois0Vkvoi8LiIN/GhrOOk9e7J69SrWrllDXl4er7/6Cv36nx0YfaxiRENN6AO/9fuL1atWFT+e9N67HNkxqcyyrrahstSE6yhaakIf+K13wUO0elXl8jGj6JjUiT9fc22ldbGqPxYxgq53wYPfehc8+K2PBTt37mT79u3Fjz+ZOoXk5KrfGcIFRCQQyWXi/DZgGKWhqt+JSF2gGXAOsE1Ve4rI74CZIjIFeBW4APhAROKBk4ArgPAFmTd72q4AInKoiDQBbgJOVtWdIvJX4Fqg7EXclWDYxUOZMX0amzdvpn2bRG4edysjRo6qtD4uLo4HHnqUs/qdRmFhIcNHjKRzcnJg9LGIEfQ+dMFDLNow/OIL+eKLafy0eTMd2rbipnHjGXFp5Z+H4ZdcyAxPf0S7Vtx083g+nvwRK1euoG6dOrQ+/HAe/lfZOyhH24Zo/UN012JNuI7A+sBvvQseotXPmjmT/770Al26hG4lB3DrHf/g9DPOrJb6YxEj6HoXPPitd8GD33qI/jPWj//7H4MHnQtAQWEBg4dcyKmnnR6RB6PmYbeGNJxARHaoaoMSeVuBjsC/gG7ALu/UIcBlwBfASuAI4HTgAlW9SET6ANeran8RyQKGqOqqsLj9gWeBbC8rHpitqvu8o4rIWEIzJGjVunXaym/Xxaq5huEb0b7nR/sno06d6EbYY/E3y/VRfsMwDMMIEkG9NWTnP/zbbxuVIvOmvs7eGtJmJhhOIiLtgELgR0CAP6nqx6WUmwacBgwGXqlseGCqqg4tr5CqTgQmAqSlpduom2EYhmEYhmHUEOy3heixPRMM5xCRpsATwKMa+hnyY+AKEannnT9SROp7xV8FLgWOAyaXEm4q8Mew2IcCXwHHikgHL6++iBy5v9pjGIZhGIZhGIZR07DBBMMVDiy6NSTwCTAFuNU79xSwDJgvIkuAf/PrrJopwAnAJ6qaV0rcO4BDRWSJiCwC+qrqJmAE8LKILAZmA2XvBmcYhmEYhmEYhmHsgy1zMJxAVeuWc24v8HcvlTyXDzQukTcNmOY93gEML0X3GdAzGs+GYRiGYRiGYRi1FRtMMAzDMAzDMAzDMGoPYhsyxwJb5mAYhmEYhmEYhmEYRkTYzATDMIxaRLSj8H4P4tuvCIZhGIZhGG5gMxMMI4ZM+Xgy3ZI7kpzUgQn33l3r9C548Fvvgge/9ZeNHknrls1IS+kSsRZg9+7d9D66F71Su5PaPZnbb70l4hh+t6EmXEfWB/7ro30OYuEh6HoXPPitd8GD33oXPARdH6sYriCEfiAJQnIaVbVkyVIFKTU1TXPztdy0Y3eBtm3XTpet+Fa37dyjXbt20/mLllaoqyl6Fzz4rXfBg9/63HzVqZ9N11lzsrRzcnJEuqK0K2+vbtqyXXPzVX/ZlafpPXvptBmzA9OGmnAdWR/4r4/2OXChDX7rXfDgt94FD37rXfAQdH1FMVJT09Tvz+qRpvoJR2rGXdMCkYBMv/urrGQzEwwjRsybO5f27TvQtl074uPjOX/wECa9/26t0bvgwW+9Cx781gP0Pu54GjduXHHBMhARGjRoAEB+fj4F+fkRLW/wuw014ToC6wO/9RD9a8nvNvitd8GD33oXPPitd8FD0PWximHUPGwwwTBixIYNOSQmtio+TkhIJCcnp9boXfDgt94FD37rY0VhYSEZaSm0btmME08+hV4ZGZXW+t2GmnAdRUtN6AO/9bHA7zb4rXfBg996Fzz4rXfBQ9D1sYph1DxsMMGodkREReT+sOPrRWR8jGI/JSKdYxHLMAz/qFu3LnOyFrJ6bTaZ8+aydMkSvy0ZhmEYhlFjEESCkVzGBhMMP9gDnCciTaoiFpEy70KiqqNVdVmVnUVBy5YJZGevLz7OyckmISGh1uhd8OC33gUPfutjTaNGjTihT1+mTJlcaY3fbagJ11G01IQ+8FsfC/xug996Fzz4rXfBg996FzwEXR+rGEbNwwYTDD8oACYC15Q8ISLPisigsOMd3v99RGSGiLwHLBOR+iLygYgsEpElIjLYKzdNRNKLtCJyp1fmKxFp7uW3946/FpE7iuqIlvSePVm9ehVr16whLy+P1199hX79z641ehc8+K13wYPf+liwadMmtm7dCkBubi6ffjKVjh2TKq33uw014TqKlprQB37rY4HfbfBb74IHv/UuePBb74KHoOtjFcOoeZT5C69h7Gf+BSwWkXsj0KQCXVR1jYgMBDaoaj8AETmklPL1ga9U9UavnjHAHcBDwEOq+rKIXB5dM34lLi6OBx56lLP6nUZhYSHDR4ykc3JyrdG74MFvvQse/NYDDLt4KDOmT2Pz5s20b5PIzeNuZcTIUZXW/7BxI2NGDqewsJC9upeBgy7gzH79A9OGmnAdgfWB33qI/rXkdxv81rvgwW+9Cx781rvgIej6WMVwDcdXEAQCUVW/PRi1DBHZoaoNROQ2IB/IBRqo6ngReRaYpKpvlCjbB7hFVft6+UcCU4BXvfIzvPxpwPWqmikie4ADVFW9mQunqOpoEfkJaK6qBSLSkNCgRINSfI4FxgK0at06beW36/ZfpxiGYRiGYRhGADk2I52srMxAfTVvkJik3a6a6LeNSjH7rydkqWq63z5Kw5Y5GH7yIDCK0AyCIgrwrksRqQPEh53bWfRAVVcSmqnwNXCHiIwrJX6+/jpaVkiEM3FUdaKqpqtqetMmTSORGoZhGIZhGIZh1GhsMMHwDVX9GXiN0IBCEWuBNO/x2UC90rQi0hLYpaovAhMIDSxUlq+Agd7jIRHoDMMwDMMwDMOoAfh9lwa7m4NhRM/9QPhdHZ4EThCRRcDRhM1GKEFXYK6ILARuIbQXQmW5GrhWRBYDHYBtEXo2DMMwDMMwDMOo1dgGjEa1E74/gar+DzioxPFRYcX/6uVPA6aFlfsY+LiU2H3KqOcN4A3vMAc4yttLYQjQMZr2GIZhGIZhGIZh1DZsMMGojaQBj0po3tBWYKS/dgzDMAzDMAzDMIKFDSYYtQ7vzg/d/fZhGIZhGIZhGIYPiN0aMhbYYIJhVIK9CrvzCqusPyC+bgzdGEbtZXnOL1HHSGp5cFR61zdDMgzDMIxIySvYW2Vt1ZVG0LENGA0jxhQWFnL80ekMHng2AGeccgIZaSlkpKXQtnVLzh84oFTdZaNH0rplM9JSulS57q1btzJ08CC6d0kipWsnvpo9OyJ9tB7Wr1/PaSf3pUe3zqR2T+bRhx+qVj3AlI8n0y25I8lJHZhw790R62PxPETrwU99LJ6DRx9+iLSULqR2T+aRhx6MWB/tc/DDhmzGDunPwJN7MeiUDP779OMArFz2NcPPPZmePboxcMDZ/PJLaGAiLy+PsaNH0rNHNzLSUvhi+jQuGzOSwxOak57StTju3//2F1K6dKJnj25cMOhctm7dWqYHF67loOtd8OC3viZcR9G+nu06sj6IhT7aGDXhs0G07ye7d++mb++jOLZXDzJSu/KP28cDcPpJJ/DN8mWIyEIR2SAi70Rszggsoqp+ezAM5+mRmq6ffzmnUmX/9fADLJifxfbtv/Dqm+8Bv85MGHLBQM466xwuumTYb3RfzviC+vUbMHrkMLIWLqmSz9GXDufY3sdx6ajR5OXlsWvXLho1alRpfbQeNm7cyA8bN9IjNZXt27dzTEYar73xDp06d64WfWFhIV07H8kHH00lITGR3kf15LkXX660HqLvg2g9+K2P9jlYumQJwy4ewoxZc4mPj+fsfqfzyL+eoH2HDpXSQ/nPQWVmJmz68Qc2//gDnbqksHPHdi466wT+OfG/jLvucq75+x1cdN4ZPPfs06xds4Zbbr2dJx7/F/Ozspj41NP8+OOPDDjrTO6+9z4ObtiQMZcOJ3Ph1wB8MnUKffqeSL169bjx//4KwJ133VOqB7+v5aDrXfDgtx6Cfx1BdO+pdh1ZH8RCH4sYQf9sABW/n1Q0M0FV2blzJw0aNCA/P5/TTjyee+57gJ4ZR3HCsb1YkJUpIvIm8K6qPl9pYz5xcKskTbn6Kb9tVIovrz8uS1XT/fZRGjYzwTBiSE5ONlMmf8iwEb/d0/GXX35h+uefcdY5A0rV9j7ueBo3blzlurdt28aXX37BiJGjAIiPj49oICEWHlq0aEGP1FQADj74YJKSOrFhQ0616efNnUv79h1o264d8fHxnD94CJPefzeiNkTbB9F68Fsf7XPwzTfL6dkzg4MOOoi4uDiOO/4E3nnnrUrrIfrnoGmzw+jUJQWA+g0Opm37jvz4wwa+X/MtqRnHAnDSSafw7tshX98sX0afPn0BaNasGY0aNeLAgw6i8aH7ejj5lFOJiwutDuyVcRQ52dllevD7Wg663gUPfush+NcRRPd6tuvI+iAW+ljECPpnA4j+/UREaNAgdKO0/Px88gvy91n2JyINgROBdyIyZgQaG0wwjBjy9xuu5dY776ZOnd++tN5/9x36nHgSDRs23C91r12zhiZNmjJ21KUcld6DK8aOZufOnfulrsqwbu1aFi5cQM9eGdWm37Ahh8TEVsXHCQmJ5ORU/g9lLIjWg9/6cKryHCQnd2HmzBn89NNP7Nq1i8kffUj2+vVVqj8WbFi/jhXLFtMlJZ12RyQxbcoHALz15utkZ4d8de3WnQ8mvU9BQQFr16xhwfwscirw/PyzT3Pa6WdUyoMf13LQ9S548FtfkiBeR9Fi15H1QSz0sYoRDS70QThV/YxWWFhI74xUOrQ+jL4nnkz6vvoBwKeqGv3mRkZgsMEEo8qISKG3PmqpiCwSketEpI53Ll1EHvbZX4qInBl2fLaI/G1/1Tf5o0k0adqMlB5ppZ5/7dWXuWDw0P1VPQUFBSxcMJ8xl13BV5kLOKh+fe6r4rrCaNmxYwdDLxjIhPsfrNLgSbR6I3qq+hwkderEddf/lbPOOJWz+51O9+4p1K3rzwaku3bu4PorLuG6cXfR4OCG3HLvv3j9xac4JiOd7du3Ex8fD8DwESNJSEzg2KN68pfrriHj6GOoU47ne+66k7pxcQy58KIKPdi1bMQCu44Mw4gV0byf1K1bly/nzGfZ6u+ZnzmPZUv3WfIxFHg5ll4N97G7ORjRkKuqKQAi0gz4L9AQuEVVM4FMH70BpADpwIcAqvoe8N7+qmzO7FlM/uB9pn78EXt272b79l8YO3IYE59+ns2bN5M5by6vvvH2/qqehMREEhIT6ZURGiU+d+Ag7vdhMCE/P5+hFwxk8NCLGHDuedWqb9kyofjXZggtO0lISIjYQzRE68FvPUT/HI4YOap4uc24m/5OQkJixDGiJT8/n+svv4QzB1zASaeHNkNt2+FIHnvhHZJaHsyqlSuZ/NGHAMTFxXHvfQ8Ua/sefyxHHHFkqXFfeP5ZPvxgEh9N+bTCuzr4eS0HXe+CB7/1RQT5OooWu46sD2Khj1WMaHChDyD6v+9FNGrUiONO6MMnUz6mc3IXCgoKAHoB51Y5qA/Y3Zmix2YmGDFBVX8ExgJXSog+IjIJQER6ichsEVkgIrNEpKOXf5CIvCYiy0TkbRGZIyLp3rkdInKnN+PhKxFp7uW3EZHPRGSxiHwqIq29/PNFZIlX/gsRiQduAwZ7sycGi8gIEXnUK9/cq3ORl46Jtg9uue0fLF21jsXLv+U/z73EcSf0ZeLTof1n3n7zDc44sz8HHHBAtNWUyWGHHUZiYitWrlgBwLTPPiWpU+U35okFqsrlY0bRMakTf77m2mrXp/fsyerVq1i7Zg15eXm8/uor9Ot/dsRxoiFaD37ro30OAH788UcAvv/+e9595y0GD72wSnGqiqpy21+vpG2Hjlw8+sri/J83bwJg79693HPXnYweexkAu3btKl4S9OknU4mLiyt1U6spH0/mgfsm8Mbb73HQQQdV6MHPaznoehc8+K2H4F9H0WLXkfVBLPSxihENLvRBtO8nmzdtKr6LUW5uLp9/+glHduwIwNYtWwAmqeruiAMbgcZmJhgxQ1W/E5G6QLMSp74BjlPVAhE5GfgHMBD4A7BFVTuLSBdgYZimPvCVqt4oIvcCY4A7gEeA51T1OREZCTxMaI3WOOA0Vc0RkUaqmici44B0Vb0SQERGhMV/GJiuqud6nhvEsCt+w+uvvcL1N5S/wmLYxUOZMX0amzdvpn2bRG4ed2vxr7uV5Z8PPsKlwy4iLy+PNu3aMfGpZyLSR+th1syZ/PelF+jSpSsZaSkA3HrHPzj9jDPLF8ZIHxcXxwMPPcpZ/U6jsLCQ4SNG0jk5udL+Ifo+iNaD3/ponwOAoRcM5Oeff6JeXD0efPhfEW8EGu1zsDDzKz546xU6JCUz5IzeAFx5wzi+X/Mtr73wJPF163DOgHMZNvxSADb9+CNn9zudOnXq0DIhgf888zzDL76QL76Yxk+bN9OhbStuGjee++69mz179tD/9FOA0CaMjzz2RKke/L6Wg653wYPfegj+dQTRvZ7tOrI+iIU+FjGC/tkAon8/+eGHjVw+5lL2Fhayd+9ezh14Pqef2R+ALVt+BlviUCuxW0MaVUZEdqhqgxJ5W4GOQCfgelXtLyKtCH15PwJQoJ6qJnn3oX1IVT/3tPOBsaqaKSJ7gANUVUVkMHCKqo4Wkc1AC1XNF5F6wEZVbSIiTwDtgdeAt1T1J2/woORgQrqqXikim4BEVd1TTvvGEpptQWKr1mlff/Ndlfuq6NaQhmFER2VuDVkRSS0Pjkpv0yINwzCMmkZFt4Ysj6JbQ8bQzn7n4FZJmnrtf/y2USm+uLa33RrSqPmISDugEPixxKnbgc9VtQtwFlCZuf75+utIVyEVzKJR1cuBm4BWQJaI/D4S72XEnKiq6aqa3qRJ02jDGYZhGIZhGIZh1BhsMMGICSLSFHgCeFR/O93lEKDo/jUjwvJnAhd4+s5A10pUNQsY4j2+CJjh6dur6hxVHQdsIjSosB0o6yfIT4ErPG1dETmkEnUbhmEYhmEYhmEY2GCCER0HFt0aEvgEmALcWkq5e4G7RGQB+84weAxoKiLLCO2HsBTYVkGdfwIuFZHFwCXAn738CSLytYgsITTgsAj4HOhctAFjiTh/BvqKyNdAFlC9OxUahmEYhmEYhuEbIhKI5DK2AaNRZVS1zI0AVHUaMM17PBsIv8/aTd7/u4GLVXW3iLQnNCCxztM0CIv1BvCG93gdcGIp9ZV2f5ufgZ4l8p71yv8POKcs/4ZhGIZhGIZhGEbZ2GCC4ScHAZ97GykK8AdVzfPZk2EYhmEYhmEYhlEBNphg+Iaqbgec3JnUMAzDMAzDMAzDKBsbTDAMwzAMwzAMwzBqDwKOb0cQCGwwwTAqgQjEx/m3X+lvb5AROa5v4GIYlaFji7Ju0FJ5Vv9vZ1T6Ds3rR6W316JhGIbhGoV7o/isGf3HVCOg2N0cDCPGFBYWcnSvVAYOOCsi3WWjR9K6ZTPSUrpEXf9RPVM5L8L6AaZ8PJluyR1JTurAhHvvrlL90caIVh9NP+7evZveR/eiV2p3Ursnc/utt0QcA/zvA7/169ev57ST+9KjW2dSuyfz6MMPVbuHrVu3ctGQ8+nRtROp3Toz56vZldb+sCGbURecyYAT0zn3pJ68+J/His/995knSOnSibTuXbjxbzcAMG/eXDLSe4RSWgrvvvM2u3fv5rhjMshISyGte5cqXUt+P49+613w4LcevPf09B6cd07/Kun9boPfehc8+K13wYPfehc8BF2fnb2es884iaPSunJ0ejee+NfDANx52zi+Wb4M7+5pU0SkZcTBjcAisfjF0zBqOqlp6frl7HmVKvvwg/9k/vwstv/yC2++8z4AdepU/EvklzO+oH79BoweOYyshUv2ORfJ6/ThB//J/Kwsftn+C2959UPFv4YWFhbStfORfPDRVBISE+l9VE+ee/FlOnWu/F0zo40RCw/l9WNFqCo7d+6kQYMG5Ofnc+IJvbnvnw+RcdRRlY7hdx/4rQfYuHEjP2zcSI/UVLZv384xGWm89sY7MfGwt5K/nIwZNYJjj+3NiJGjycvLY9euXTRq1AiAb38sf2bCpv/9wKYff6Bz1xR27tjOkDOP48GnXuGnzT/y5CMTmPzRR/zud7/jxx9/pFmzZuzatYv4+Hji4uLYuHEjR6WnsHptNnv27Cm+lk7qcxz3/fNBemUcVamZCX4/j37rXfDgt76Ihx74J/PnZ7L9l194691JEWn9boPfehc8+K13wYPfehc8BEGfm1dYbowfNm7kfz9spHuP0N/2E3v34oVX3qRlQiIDzjyFBfMzRUSuAjqr6uWVMuYjDVt30vTrn/bbRqX4/M/HZKmqk/vM2cwEw4ghOdnZTP7oQ0ZcOipibe/jjqdx48ZR1Z9dVP/IyOufN3cu7dt3oG27dsTHx3P+4CFMev/dao0RCw/R9KOI0KBB6K6k+fn5FOTnRzwl3e8+8FsP0KJFC3qkpgJw8MEHk5TUiQ0bcqrNw7Zt25g54wuGe6/D+Pj44oGEytC0+WF07poCQP0GB9O2Q0d+/GEDr73wFKP+cC2/+93vAGjWrBkABx10EHFxoVWDe3bvLr4vdPi1lJ+fH9HiTL+fR7/1LnjwWw9F7+kfcOnI0RHpYuUh6HoXPPitd8GD33oXPARdD3BYixZ07/Hr3/YjOyaxcUMODRs2DC9WH1v0UKuwwQTDiCE3XH8Nd951D3Xq+PPSuuG6a7ijivVv2JBDYmKr4uOEhERycir/BTAWMWLhIVoKCwvJSEuhdctmnHjyKfTKyIhI73cf+K0vybq1a1m4cAE9e1W+H6P1sHbtGpo0bcplY0ZydK9U/nD5aHburNo+CTnr1/HN0sV07ZHOuu9WkzV3FscfexSnntSHzMxfZyvNnTuHtO5d6JnajYcefZy4uLjQtZTeg8MTmnPSSSfTqxr7IOh6Fzz4rQf4y3VXc+dd91b5b4rfbfBb74IHv/UuePBb74KHoOtL8v26tSxetJC0nqG/axs35CAi64GLgHFVDmwEDhtMKAcR2RFB2fEicv1+8vH3/RHXi71WRL721jktFJGH91ddXn2zotCOCF+HJSJPiUhk80X3Ix99MImmTZvSIzXNl/o//GASTZs1JdWn+msKdevWZU7WQlavzSZz3lyWLolsqYTxKzt27GDoBQOZcP+DJX+52K8UFhSwcMF8xoy9nNlz53PQQfW5f0Lk60N37dzBtZddzA3j76bBwQ0pKCjgl61bmP7lbO68+14uuXBw8RKkXr0yyFq0hBmz5nLfvXeze/fu0LWUuYBVa9aTmTnPriUjIj78YBLNmjYjNc3e0w3DcIcdO3Yw/MIL+Me9/yz+296iZQKq2gp4CbjSV4NGtWKDCQ4gIhXdVSOiwQQJEclz21dVU7x0VSR1RYqqHhOFfARQPJigqqNVdVnUpmLE7Nkz+eCD9+l0ZFuGXzKU6dM+Y+SIS6qt/q9mzeSDSe+TdERbhl08lOmff8bI4ZWvv2XLBLKz1xcf5+Rkk5CQEJGHaGPEwkOsaNSoESf06cuUKZMj0vndB37ri8jPz2foBQMZPPQiBpx7XkTaqNuQkEhCYmLxbIhzzxvEwgULIvKQn5/PtWMvpt+ACzj5jHMAaN4igZPOOBsRoWfPXtSpU4fNmzfvo0vq1IkGDRqwdOmvAweNGjXi+BP6MDWCa8nv59FvvQse/NbPnjWTSZPeo2OHNgy7aAjTPv+MS4ddXGl9LDwEXe+CB7/1LnjwW++Ch6Dri8jPz2f4heczaPBQzjrn3NKKvAQMjDiwT4gEI7mMDSZEiIicJSJzRGSBiHwiIs3DTncXkdkiskpExnjlRUQmiMgSbwbAYC+/j4jMEJH3gGVe3jsikiUiS0VkrJd3N3CgN2vgJS/vWi/eEhG52strIyIrROR5YAlws4g8GOZ7jIg8UMk2xonIPBHp4x3fJSJ3eo/HeeeWiMhE8RaUi8g0EXlARDJFZLmI9BSRt7y+uCMs9o6w9k8TkTdE5BsReSks1m/qEJFBQDrwktcXB3r6dE8z1OvfJSJyT3h9InKniCwSka+Kni8ROd8ru0hEvqhMv1TEbXfcxarv1rN85Rqee+FlTuhzIk8/+0IsQleu/jvvYvWa9Xyzag3Pv/gyJ/Q9kaefq3z96T17snr1KtauWUNeXh6vv/oK/fqfHZGHaGPEwkM0bNq0ia1btwKQm5vLp59MpWPHpIhi+N0HfushtJHl5WNG0TGpE3++5tqItLHwcNhhh5GY2IqVK1YAMO3zT0nq1Cki/7f85Y+0PaIjw8b+qTj/xNP6M29W6O1i1cqV5OXl0aRJE9auWUNBQQEA369bx4oV39CgQYN9rqXPPv2EIyO4lvx+Hv3Wu+DBb/3td97Ft2uzWbF6Lc+/9Ap9+p7IM8+/WGm9C23wW++CB7/1LnjwW++Ch6DrIfS38aorxnBkx0788aprivO/Xb0qvNg5wDcRBTYCTUW/iBu/5UvgKFVVERkN3ABc553rBhxFaPORBSLyAXA0kAJ0B5oA88K+vKYCXVR1jXc8UlV/FpEDvXJvqurfRORKVU0BEJE04FIgAxBgjohMB7YARwDDVfUrEWkALBKRv6hqvqe5rIw2fS4iRVu4PqeqD4jICOANEfkTcLpXH8Cjqnqb5+UFoD9QdMuAPFVNF5E/A+8CacDPwLci8oCq/lSi3h5AMrABmAkc6/Xvb+pQ1TdE5ErgelXN9M7h/d8SuMerbwswRUQGqOo73nPxlareKCL3AmOAOwit5zpNVXNEpFFpneIN6IwFaNW6dRldFzuGXTyUGdOnsXnzZtq3SeTmcbdWaSPFqhIXF8cDDz3KWf1Oo7CwkOEjRtI5OblaY8TCQzT9+MPGjYwZOZzCwkL26l4GDrqAM/tFdjs2v/vAbz3ArJkz+e9LL9ClS1cy0lIAuPWOf3D6GWdWm4f7HniYkSMuJi8vj7Zt2/HEk5XfsXnBvNlMevNljkhK5vzTQpOprvrrLZw7+BLGXf8H0lO6Ui8+nif/8ywiwqyZX3L/hHuIq1ePOnXq8ODD/yJvTx6nn3IiewsL2bt3L+cNOj+ia8nv59FvvQse/NbHAr/b4LfeBQ9+613w4LfeBQ9B1wPMmT2TV19+kc7JXTn+qNDyq5vH384Lzz/DN8uXIiKLgXWA83dyMGKH3RqyHERkh6o2KJHXFbgfaAHEA2tU9XQRGQ/UUdVxXrnngbeAE4CvVfVpL/8F4HXgF+AWVe0bFns8UDRnqA2hL7tfhfvwvqj/Pqye24FNwHvA56raNizek8CHwHLgBVXtWUob1wLpqrq5lHN/J/Sl+2hVXeDlDSQ0gHIQ0Bh4RFXvFpFpwI2qOlNETgT+T1VP8TRfAFep6sKitnizHm4MK/M4MFNVX6ygjvDBhGnA9UACMFBVh3n5o4BkVb1WRPYAB3iDP4OBU1R1tIg8AbQHXgPeKmWgYx8iuTVkaVTm1pDlEYvXqbg+T8owKkFlbw1ZHhXdGrIiOjSvH5XeXouGYRiGa1R0a8jyOLF3BgvmZwbqj1vD1p0044Zn/LZRKT7509F2a8gaxCOEfjnvSuiX/gPCzpX8lFvRp97iT7Tel+uTCX1x7w4sKBG7MpT8hPwUoX0GLgWq8mrpCmwFmnkeDwAeAwZ57X+yhMc93v97wx4XHZc2Cya8TCEQV4k6IiVff/0mXljkw7v/7U1AKyBLRH4fRR2GYRiGYRiGYRi1ChtMiJxDgKJ7qQwvce4cETnA+2LaB5gHzAAGi0hdEWkKHA/MLSPuFlXdJSJJhJZLFJEvIvW8xzOAASJykIjUJzSTYUZpRlV1DqEvyxcCL0fSSBE5j9CsgOOBR7ylAEVf6jd7yygGRRKzkpRXx3bg4FI0c4ETRKSJiNQFhgLTy6tERNqr6hxvhscmQv1kGIZhGIZhGIZhVALbM6F8DhKR7LDjfwLjgddFZAvwGdA27Pxi4HNCeyPcrqobRORtQvsmLCI0U+EGVf3BGzAIZzJwuYgsB1YAX4WdmwgsFpH5qnqRiDzLrwMST6nqAhFpU0YbXgNSVHVLOe0M3zNhMXAtcDdwkqquF5FHgYdUdbi3dGIJ8AOhwZKYoqpby6njWeAJEckl1KdFmo0i8jdCfS/AB6r6bgVVTRCRI7zynxJ6fgzDMAzDMAzDqAXYqsPosT0TajgiMgl4QFU/9dtLkLE9EwzDDWzPBMMwDMOIPbVxz4Sj/hqMPROmXml7JhjVjIg0EpGVQK4NJBiGYRiGYRiGYRixxJY51FBUdStwpN8+DMMwDMMwDMMwjJqHDSYYRiUQol+qEFX9Ni3aMIDYvA6POKxBxYXKIefn3Kj0CY0PjEpvGIZhGLEmPq7qE9aD+DFVxD5fxwJb5mAYMeKy0SNp3bIZaSldfNHHIsaUjyfTLbkjyUkdmHDv3dUeIxZ9EG0b/O4D00cfIxbX0datWxk6eBDduySR0rUTX82eHZH+b3++jF6dD+eM439d4rh86WIGndmH9JSuDBxwFr/88gsAP/30E6ed3JcmjRpw9VVXFpf3uw/s/ST4rwXTu+Eh6K+lmqB3wUPQ9VeMHUmbxOb07NF1n/zH//UIy5YuQUSWisi9EQc2Ao0NJhhGjLhk+AjenTTZN320MQoLC7n6qj/y7vsfsWDxMl5/5WWWL1tWrTGi7YNo63ehD2q7PhYxYvFauv6aP3PqqaezaMk3zM1aRFKnThHpzxtyCU+/8s4+eX+/9g/85abbyVz4NWefcy4P3D8BgAMOOIBx42/nrnvuKy7rQh/Y+0nwXwu1Xe+Kh6C/loKud8FD0PUAF10ygnfe/2ifvOnTPueD998jqVNnVDUZuK90tVFTscEEw4gRvY87nsaNG/umjzbGvLlzad++A23btSM+Pp7zBw9h0vsV3WEztjGi7YNo63ehD2q7PhYxor2Otm3bxpdffsGIkaMAiI+Pp1GjRhHF6HV0bxo12tfDmm9X0+vo3gCcePIpvPP2mwDUr1+fY3v35oADDigu63cfRBujJlwHNeG1UNv1rngI+msp6HoXPARdD6Hr+NBD972On5r4BNf95a/UqRP6SqmqP0YU1GfqSDCSy9hggmEYAGzYkENiYqvi44SERHJycqo9RjREW78LfVDb9bGKEQ1r16yhSZOmjB11KUel9+CKsaPZuTO620kCHNGxE5989D4Ab73xOtnr15dZ1u8+iJaacB3UhNdCbde74iEaakIf+K13wUPQ9WWxetVKZs6cwYpvliMi00WkZ9RBjUBhgwkBR0QKRWShiCwRkfdFpJGX31JE3ihH10ZEllSyjqtFZLeIHBIj207g3T7zD377MAzDLQoKCli4YD5jLruCrzIXcFD9+txXxTW64dz94BO8+OyTHNMrjR07thMfHx8Dt4ZhGIbhDwUFBWz5+WeO7JgE8BfgNbFdDWsVNpgQfHJVNUVVuwA/A38EUNUNqjooRnUMBeYB58Uonis0AmwwwaNlywSys3/9pTQnJ5uEhIRqjxEN0dbvQh/Udn2sYkRDQmIiCYmJ9MrIAODcgYNYuGB+1HHbH9GR5157n1lzs7hg8FDatmtfZlm/+yBaasJ1UBNeC7Vd74qHaKgJfeC33gUPQdeXRUJCImcPOA8RQVXnAnuBJlEHNgKDDSbULGYDCbDvzAMRSRaRud4MhsUickS4SETaiciC0qYmiUh7oAFwE6FBhaL838QUkfoi8oGILPJmSgz2yqZ5U5+yRORjEWnh5V8lIss8/Ste3glezIWep4NFpI+nf1dEvhORu0XkIq/+rz2PiEhTEXlTROZ56Vgvf7yIPC0i0zz9VV4z7gbae3VNiOUTEUTSe/Zk9epVrF2zhry8PF5/9RX69T+72mNEQ7T1u9AHtV0fqxjRcNhhh5GY2IqVK1YAMO2zT0nq1DnquD9tCi0l3bt3L3f/4w7GjL28zLJ+90G01ITroCa8Fmq73hUP0VAT+sBvvQsegq4vi/5nn8MX0z8HQESOBOKBzVEHriZEJBDJZeL8NmDEBhGpC5wE/KeU05cDD6nqSyISD9QFmnu6jsArwAhVXVSKdoh3fgbQUUSaq+r/yoh5JrBBVft5sQ8RkXrAI8A5qrrJG2C4ExgJ/A1oq6p7ipZnANcDf1TVmSLSANjt5XcHOhGaffEd8JSq9hKRPwN/Aq4GHgIeUNUvRaQ18LGnAUgC+gIHAytE5HGv/i6qmlJGn44FxgK0at26tCL7MOziocyYPo3NmzfTvk0iN4+7tXgDt8oQrT7aGHFxcTzw0KOc1e80CgsLGT5iJJ2TkyOqP9oY0fZBtPW70Ae1XR+LGLF4Lf3zwUe4dNhF5OXl0aZdOyY+9UxE+qsvG86cWV+w5eefODalA3/+y03s2rmTF5/5N3F1hXMGnMewEZcWl+/YoQ3bf/mFvLw83n/vHSZ9OMX3PrD3k+C/Fmq73hUPQX8tBV3vgoeg6wFGXHIhM76Yxk+bN3Nku1bcePN4ho0YyRVjR7F82VIIfV8YrqoaUWAj0Ig938FGRAqBrwnNSFgO9FXVQhFpA0xS1S4iciFwI/A88JaqrvLOzwG2AOepaqn3h/FmN5zraf4JfKeqj5YR80hgCvCqV/cMEekCzCI0AAChQYeNqnqqiEwGdgDvAO+o6g4R+RtwLvCSFzdbRPoAN6rqKZ6nL4D/8wYcTgSuUtUBIvIjsCHMflOgI6EBinxVvdPTLwdOITSYNslbIlIuaWnpOnNOZkXFDMOoBeT8nBuVPqHxgTFyYhiGYRixoXBv1b8THnd0T+ZnZbr9E3oJDjm8kx77f8/5baNSfHRFRpaqpvvtozRsmUPwyfV+WT8cELw9E8JR1f8CZwO5wIfeF3CAbcD3QO/SAotIV+AIYKqIrCU0S2FoWTFVdSWQSmhw4w4RGed5Wurt65Ciql1V9VSvin7AvzzNPBGJU9W7gdHAgcBMEUnyyu4Js7Y37Hgvv86wqQMcFVZXgqruKEVfGKYxDMMwDMMwDKOWIRKM5DI2mFBDUNVdwFXAdSKyzxdlEWlHaEbBw8C7QDfvVB6hWQDDvJkGJRkKjFfVNl5qCbQUkcNLiykiLYFdqvoiMIHQIMEKoKmIHO15qSeh/RbqAK1U9XPgr8AhQAMRaa+qX6vqPYQ2fUwqaaocphBa8lDU7pQKym8ntOzBMAzDMAzDMAzDiAAbTKhBqOoCYDFhGyV6XAAsEZGFQBdCSxOKNDuB/sA1IlJyJ5YhwNsl8t728kuL2RWY6+XdAtyhqnnAIOAeEVkELASOIbTc4UUR+RpYADysqluBqyW0eeNiIB/4KIIuuApIl9CGjssI7etQJqr6E6HZD0tsA0bDMAzDMAzDMIzKY3smGEYlsD0TDMMowvZMMAzDMGoatW3PhEaHd9Lef3++4oIO8MHlvWzPBMMwDMMwDMMwDMMwagY2mGAYhmEYhmEYhmEYRkTYjvaGYRiGEQG2TMEwDMOoadStU/VVCoFa32DEFJuZYBgx4rLRI2ndshlpKV2qHGPKx5PpltyR5KQOTLj37sDpXfDgt94FD0HXu+DBb/3u3bvpfXQveqV2J7V7Mrffeku1e/Bb74IHv/UueAi63gUPfutd8OC33gUPQdfHKoZL1JFgJKdRVUuWLFWQUlPTNDdfy01TP5uus+Zkaefk5ArLlpZ27C7Qtu3a6bIV3+q2nXu0a9duOn/R0sDoXfDgt94FD0HXu+DBb31uvuquvL26act2zc1X/WVXnqb37KXTZswOTBvsOrA+cEHvgge/9S548Fvvgoeg6yuKkZqapn5/Vo80HdI6Sc/699xAJCDT7/4qK9nMBMOIEb2PO57GjRtXWT9v7lzat+9A23btiI+P5/zBQ5j0/ruB0bvgwW+9Cx6CrnfBg996ABGhQYMGAOTn51OQn49I5X+e8LsNdh1YH7igd8GD33oXPPitd8FD0PWximHUPGwwwTAcYcOGHBITWxUfJyQkkpOTExi9Cx781rvgIeh6Fzz4rS+isLCQjLQUWrdsxoknn0KvjIxq8+C33gUPfutd8BB0vQse/Na74MFvvQsegq6PVQynEEECklzGBhNqICJSKCILRWSJiLwvIo2qqd4RItIyyhgdRWSa53+5iEz08lNE5MxK6CtVzjAMw3Xq1q3LnKyFrF6bTea8uSxdssRvS4ZhGIZhGMXYYELNJFdVU1S1C/Az8MdqqncEENFggojULZH1MPCA578T8IiXnwJUZpCgsuWco2XLBLKz1xcf5+Rkk5CQEBi9Cx781rvgIeh6Fzz4rS9Jo0aNOKFPX6ZMmVxtHvzWu+DBb70LHoKud8GD33oXPPitd8FD0PWximHUPGwwoeYzG0gAEJH2IjJZRLJEZIaIJHn5zUXkbRFZ5KVjvPyLRWSuN0vg30Vf/EVkh4g8ICJLReRTEWkqIoOAdOAlr/yBInKSiCwQka9F5GkR+Z2nXysi94jIfOD8En5bANlFB6r6tYjEA7cBg73Yg0Wkl4jM9uLP8mY0lFZuvIhcXxTPm63RRkTqi8gHXnuXiMjg/dP9lSe9Z09Wr17F2jVryMvL4/VXX6Ff/7MDo3fBg996FzwEXe+CB7/1AJs2bWLr1q0A5Obm8uknU+nYMSkwbbDrwPrABb0LHvzWu+DBb70LHoKuj1UMo+YR57cBY//hffk/CfiPlzURuFxVV4lIBvAYcCKh2QDTVfVcT9NARDoBg4FjVTVfRB4DLgKeB+oT2lX0GhEZB9yiqleKyJXA9aqaKSIHAM8CJ6nqShF5HrgCeNDz8pOqppZi+wHgMxGZBUwBnlHVrV496ap6pde2hsBxqlogIicD/1DVgaWUG19G95wObFDVfl65QyLq3FIYdvFQZkyfxubNm2nfJpGbx93KiJGjKq2Pi4vjgYce5ax+p1FYWMjwESPpnJwcGL0LHvzWu+Ah6HoXPPitB/hh40bGjBxOYWEhe3UvAwddwJn9+gemDXYdWB+4oHfBg996Fzz4rXfBQ9D1sYrhGo5vRxAIRFX99mDEGBEpBL4mNCNhOdAXOBDYBKwIK/o7Ve0kIpuARFXdExbjSuDvwI9e1oHAy6o63ov/O++LfDvgLVVNEZFp/DqY0B14RFWP9+KdBPxRVc8TkbXACaq6rgz/LQl92T8H6Ah0B4ay7yBBK0KDIEcACtRT1SQRGcFvBxN2qOp93vESoD8QT2iw4lVgkqrOKMXHWGAsQKvWrdNWfluqXcMwDMMwDMOotRybkU5WVmagvpo3atNZ+9z0vN82KsW7Y3pmqWq63z5Kw5Y51ExyVTUFOBwQQnsm1AG2ensRFKVO5cQQ4Lmwsh1VdXwZZasyIrWzrBOqukFVn1bVc4ACoEspxW4HPvf2hTgLOKCMcAXse50f4NWxEkglNOhyhzejoaSPiaqarqrpTZs0rUybDMMwDMMwDMMwagU2mFCDUdVdwFXAdcAuYI2InA8gIbp7RT8ltAQBEanrTfn/FBgkIs28/MYicrhXvg4wyHt8IfCl93g7cLD3eAXQRkQ6eMeXANMr8iwip4tIPe/xYcDvgZwSsQEO8fIhtPFjESXLrSU0aICIpAJtvcctgV2q+iIwoaiMYRiGYRiGYRg1GwHqiAQiuYwNJtRwVHUBsJjQMoGLgFEisghYSmgZAcCfgb4i8jWQBXRW1WXATcAUEVkMTCW0OSKEZhX08pYMnEho00MI7ZHwhIgsJPQavRR43Yu7F3iiEpZPBZZ4Hj8G/qKqPwCfA52LNlYE7gXuEpEF7Lv3R8lybwKNRWQpcCWw0ivXFZjreb0FuKMS3gzDMAzDMAzDMAxszwSjCojIDlVt4LeP6iQtLV1nzsn024ZhGIZhGIZhOEUQ90w4tE1n7XvzC37bqBRvj053ds8Eu5uDYRiGYRiGYRiGUatwfAVBILBlDkbE1LZZCYZhGIZhGIZhGMa+2MwEwzAMwwgQy3N+iTpGp4SGMXBiGIZh1BSiWfpui+ZrLzYzwTBiyJSPJ9MtuSPJSR2YcO/dtU7vgge/9S54CLreBQ9+66ON8cOGbMYO6c/Ak3sx6JQM/vv04wCsXPY1w889mfSUrgwccBa//BIamJg3dy4ZaSlkpKXQK7U7777zduD7oCboXfAQdL0LHvzWu+DBb70LHqLVXzZ6JK1bNiMtpbQ7pldD/WNGcnhCc9JTuhbnvfXG66R178KC+VmIiJNr+o39jKpasmSpgpSamqa5+Vpu2rG7QNu2a6fLVnyr23bu0a5du+n8RUsr1NUUvQse/Na74CHoehc8+K2vKMb8tdsqTB/PXaEvTZqu89du0xlLsrV12/b6xtQ52rlbD33ylQ80N1/1iYn/0b/9/SbNzVf9adtO3Z6br7n5qt99v0GbNGmibdu62we1Qe+Ch6DrXfDgt94FD37rXfAQizZM/Wy6zpqTpZ2TkyPSVbb+XXl7y01TPp2mM+dkaufOycV58xct1YVfL9cGDRookO735/VIUqPDO+nAp7MCkYBMv/urrGQzEwwjRsybO5f27TvQtl074uPjOX/wECa9/26t0bvgwW+9Cx6CrnfBg9/6WMRo2uwwOnVJAaB+g4Np274jP/6wge/XfEtqxrEAnHjyKbzz9psAHHTQQcTFhVY+7tm9m8LCQtq1bx/oPgi63gUPQde74MFvvQse/Na74CEWbeh93PE0btw4Ik3M6z903/qTOnXiyI4dq+TJqBnYYIJhxIgNG3JITGxVfJyQkEhOTk6t0bvgwW+9Cx6CrnfBg9/6WMUojrV+HSuWLaZLSjrtjkhi2pQPgND01Oz164vLzZ0zh9TuyaT36MrwS0fRqlXrKtfvQh8EXe+Ch6DrXfDgt94FD37rXfAQy/f0quB3/UbNxQYTjBqBiAwQERWRJL+9GIZhuMKunTu4/opLuG7cXTQ4uCG33PsvXn/xKY7plcaOHduJj48vLtsrI4P5i5by5ex5vPfO2xQWFvro3DAMwzD2HyLBSS5jgwlGTWEo8KX3vy+0bJlAdvavv/Ll5GSTkJBQa/QuePBb74KHoOtd8OC3PlYx8vPzuf7ySzhzwAWcdPrZALTtcCSPvfAOs+ZmccHgobRt1/43uqROnWh4yCGsWPFNlet3oQ+CrnfBQ9D1LnjwW++CB7/1LniIRRuiwe/6jZqLDSYYgUdEGgC9gVHAEC+vjog8JiLfiMhUEflQRAZ559JEZLqIZInIxyLSIhY+0nv2ZPXqVaxds4a8vDxef/UV+vU/u9boXfDgt94FD0HXu+DBb30sYqgqt/31Stp26MjFo68szv958yYA9u7dy93/uIMxYy8HYO2aNRQUFACwbt06Nm7cwA8bNwa6D4Kud8FD0PUuePBb74IHv/UueIhFG6LB7/qNmkuc3wYMIwacA0xW1ZUi8pOIpAFtgTZAZ6AZsBx4WkTqAY8A56jqJhEZDNwJjIzWRFxcHA889Chn9TuNwsJCho8YSefk5Fqjd8GD33oXPARd74IHv/WxiLEw8ys+eOsVOiQlM+SM3gBcecM4vl/zLa+98CTxcXU4Z8B5DBtxKQCzZn7JfRPupl5cPerUqcPDjz5OfHx8oPsg6HoXPARd74IHv/UuePBb74KHWLRh2MVDmTF9Gps3b6Z9m0RuHncrI0aOqrb6h198IV98MY2fNm+mQ9tW3DRuPIce2pjrrrmKnTt3AnwgIgtV9bSIAvtIHdfXEAQAUVW/PRhGVIjIJOAhVZ0qIlcBrQkNlC1S1We8Mm8B/wW+AWYB33nyusBGVT21lLhjgbEArVq3Tlv57br93hbDMIyKWJ7zS9QxOiU0jIETwzAMo6YQzXfCY4/qyfyszEB9M2/ctrOeMv4lv21UitdGpGapanp5ZUTkGmA0oMDXwKVAC+AV4PdAFnCJquaJyO+A54E04CdgsKqurYo3W+ZgBBoRaQycCDwlImuBvwAXAGW9oQmwVFVTvNS1tIEEAFWdqKrpqpretEnT/WHfMAzDMAzDMAyjyohIAnAVkK6qXQj9WDoEuAd4QFU7AFsILQnH+3+Ll/+AV65K2GCCEXQGAS+o6uGq2kZVWwFrgJ+Bgd7eCc2BPl75FUBTETkaQETqiUhk87wMwzAMwzAMwzDcIQ44UETigIOAjYR+cH3DO/8cMMB7fI53jHf+JJGqrfmwwQQj6AwF3i6R9yZwGJANLANeBOYD21Q1j9AAxD0isghYCBxTbW4NwzAMwzAMw/AdCUiqCFXNAe4Dvic0iLCN0LKGrapa4BXLBopu4ZEArPe0BV7531eiqt9gGzAagUZV+5aS9zCE7vKgqjtE5PfAXELrh1DVhcDx1enTMAzDMAzDMAyjCjQRkcyw44mqOrHoQEQOJTTboC2wFXgdOL06jNlgglGTmSQijYB44HZV/cFnP4ZhGIZhGIZhGJGwuYINGE8G1qjqJijeeP5YoJGIxHmzDxKBHK98DtAKyPaWRRxCaCPGiLHBBKPGoqp9/PZgGIZhGIZhGIZ7VHGbABf5HjhKRA4CcoGTgEzgc0LLu18BhgPveuXf845ne+c/0yrezsP2TDAMwzAMwzAMwzCMAKKqcwhtpDif0LLuOsBE4K/AtSKymtCeCP/xJP8Bfu/lXwv8rap122CCYVQCJXT/3fLS2NGX0rplM9K6d/nNucoy5ePJdEvuSHJSBybce3fEPv3Wu+DBb70LHvzWXzZ6ZOi1kNIlYm2sPARdX16MTgkNK5XWL5nF4FN7MuikVCa99Ng+5yp6P1NVHn7wn6R2SyatexeGXTSU3NzciN7T7LVkfeCC3t6P3PDgt94FD67rRaTcdPmYURye0Jz0Hl1/ez5iN0asUdVbVDVJVbuo6iWqukdVv1PVXqraQVXPV9U9Xtnd3nEH7/x30VRsyZKlClKP1DTdlbe33DTl02k6c06mdu6c/JtzuflaYdqxu0Dbtmuny1Z8q9t27tGuXbvp/EVLK6V1Qe+CB7/1LnjwW5+brzr1s+k6a06Wdk5OjkjnShv81leHh4rez1atWa+Ht2mjP23bqbvy9up5A8/Xfz/1dKXf04LQB67rXfAQdH1uvr0fueDBb70LHoKuz80v/7WUmpqmfn9WjzQd2qaTDnluQSASkOl3f5WVbGaCYcSI3scdT+NDG1dZP2/uXNq370Dbdu2Ij4/n/MFDmPT+uxULHdG74MFvvQse/NaD91poXHtfCzXhOgIoKCggNzeXgoICduXuokWLltVav9994LfeBQ9B14O9H7ngwW+9Cx6CrofoX0uuIUAdCUZyGRtMMAxH2LAhh8TEVsXHCQmJ5OTklKNwS++CB7/1LnjwWx8L/G6D33oXPCQkJHD1NdfRsf3htGvdkkMaHsLJp5xabfXHIkbQ9S54CLo+FvjdBruOrA9c0BtGWdSIwQQRuVFElorIYhFZKCIZMY7/oXeLwfLKrBWRJmXkf+15myIih5UTI0VEzgw7PltEqrQhhog0EpE/lHP+MBF5RUS+FZEsr41HikgfEZlUlTqrioj8vYq6p0SkcznnR4hIy8qWNwzDMEJs2bKFSe+/x7KV3/Htuhx27tzJyy+96LctwzAMwzAcIvCDCSJyNNAfSFXVboTus7k+lnWo6pmqujWKEH09b5lAeV+cU4DiwQRVfU9Vq7bLDDQCSh1MkNB9UN4Gpqlqe1VNA/4PaF7FusJjV+V2oxEPJohIXVUdrarLyik2AigeTKhEeV9p2TKB7OxfL92cnGwSEhICo3fBg996Fzz4rY8FfrfBb70LHj7/9BMOb9OGpk2bUq9ePc4ZcC5ffTWr2uqPRYyg613wEHR9LPC7DXYdWR+4oK+RVLDhpEvJZQI/mAC0ADbrr7tTblbVDVA8K+Beb2bAXBHp4OU3FZE3RWSel4718huIyDNhMwkGhsVp4j1+x/slf6mIjI3Q6xdABxHpJSKzRWSBiMwSkY4iEg/cBgz2ZlcM9n5Zf7QCz+NF5GkRmSYi34nIVV5ddwPtvVgTSvjoC+Sr6hNFGaq6SFVneIcNROQNEflGRF7yBh8QkXFe3UtEZGJY/jQReVBEMoE/i8hZIjLHa98nItK8rP4VkbuBAz2fL3nlLvaer4Ui8m8Rqevl7xCR+0VkEXC0V2+6iNQVkWc9X1+LyDUiMghIB17y4hxYVN6LdbqIzBeRRSLyaYTP434hvWdPVq9exdo1a8jLy+P1V1+hX/+zA6N3wYPfehc8+K2PBX63wW+9Cx4SW7dm3pw57Nq1C1Vl2uefkZTUqdrqj0WMoOtd8BB0fSzwuw12HVkfuKA3jLKoyq/IrjEFGCciK4FPgFdVdXrY+W2q2lVEhgEPEprF8BDwgKp+KSKtgY+BTsDNReUBROTQUuobqao/i8iBwDwReVNVf6qk1/6E7v35DXCcqhaIyMnAP1R1oIiMA9JV9Uqv/hFh2rI8AyQRGiA4GFghIo8Tul9oF1VNKcVHFyCrHJ89gGRgAzATOBb4EnhUVW/zvL3gted9TxOvqkVf1A8FjlJVFZHRwA3AdZTSv6r6pohcWeRTRDoBg4FjVTVfRB4DLgKeB+oDc1T1Oq9skd8UIEFVu3j5jVR1q4hcCVyvqpnh5UWkKfAkcLyqrhGRmOwmM/ziC/nii2n8tHkzHdq24qZx4xlx6ahK6+Pi4njgoUc5q99pFBYWMnzESDonJwdG74IHv/UuePBbDzDs4qHMmD6NzZs3075NIjePu5URI2vPa6EmXEe9emUw4LyBHNMrjbi4OLqn9GDk6MqPn9eEPvBb74KHoOvB3o9c8OC33gUPQddD9K8lo2YiqpW7X7TLeL9cH0foC/VlwN9U9VkRWQucqKrfiUg94AdV/b2I/Ejoi3IRTYGOwHRgiKquKhF/LaEv+ZtFZDxwrneqDXCaqn4VXqYU7XagEFgMXEXoS//DwBGAAvVUNckbPCg5mJCuqleW4/l6QrMM7vQ0y4FTCA0UTSr6gl3C01VAW1W9ppRzfYAbVfUU7/hxYKaqvujN1LgBOAhoDDyiqneLyDTglqJBHBHpCtxPaNZIPLBGVU8Xkawy+neHqjbwHl9JaNnDj97pA4GXVXW8iBQAv1PVQq/sNK/93xJaQvIh8AEwRVX3Fp0PG0woKt/C83FRyfaX8DUWGAvQqnXrtBWr15ZXvFzE8SlKhmHULqL922/vaYZhGEYRx2akk5WVGag/DL9vl6xn3v5fv21UihcvTskq+tHWNWrCzAS8L5fTgGki8jUwHHi26HR4Ue//OoR+Od8dHqeiD0feF+2TgaNVdZf35fSASljsGz7IICIPAp+r6rki0sbzXhHled4TllVIxc/rUmBQOed/E09EDgAeIzS4sd4bVAlv+86wx48A/1TV97w+G1+Bn3AEeE5V/6+Uc7uLBhLCUdUtItIdOA24HLgAGBlBnaWiqhOBiQCpaenBH3UzDMMwDMMwDMOIEYHfM0FC+w0cEZaVAqwLOx4c9v9s7/EU4E9hMVK8h1OBP4bll1zmcAiwxRtISAKOqqLtQ4Ci+7GMCMvfTmjWQmmU5bksyov1GfA7CdvzQUS6ichx5cQrGjjYLCINKH8wIrx9w8Pyy+rffG/mCMCnwCARaeaVaSwih5dTFxLaz6KOqr4J3ASkeqfK6oOvgONFpG1RHeXFNwzDMAzDMAzDMPYl8IMJQAPgORFZJiKLgc7s+0v4oV7+n4Giaf1XAeneJoDLCP2aDXCHV36Jt8lf3xJ1TSb0K/1yQhscflVFz/cCd4nIAvadRfA50NnbMHBwCU1ZnkvF28dhpteWCSXOKaGlGidL6NaQS4G7gB/KibeV0D4DSwjt1zCvnOrHA697yxrCl32U1b8TgcUi8pJ3t4WbgCne8zaV0LKE8kggNCtlIfAioTtTQGh2yhNFGzCGtWUToeULb3k+Xq0gvmEYhmEYhmEYhhFGjdgzoSzK2sfAMCIlNS1dZ35V3vhJ+dj6YsMwXML2TDAMwzBiRVD3TOh3x8t+26gUL1zU3dk9E2rCzATDMAzDMAzDMAzDMKqRGrEBY1moahu/PRiGYRiGYRiGYRhGTaNGDyYYhmEYhmEYhmEYRjgC1AnUwgw3scEEw6gEgq0RNgyj5hDt+5ntuWAYhlGziOZ9vebuwGdUhO2ZYBgxZMrHk+mW3JHkpA5MuPfuWqd3wYPfehc8BF3vgge/9S54iFb/yEMPkNa9C+kpXRl+8YXs3r272j0EXe+Ch2j1l40eSeuWzUhL6RKx1oX6Y+HBb70LHvzWu+Ah6Prdu3dz3DEZZKSlkNa9C7ffekvEMYwaiKpasmSpgpSamqa5+Vpu2rG7QNu2a6fLVnyr23bu0a5du+n8RUsr1NUUvQse/Na74CHoehc8+K13wUNF+l15e8tNq9as18PbtNGftu3UXXl79byB5+u/n3q6+LwLbXBd74KHWLRh6mfTddacLO2cnByRzoX6XehDu46sD6pLX9H7+s49hfrjz7/orry9um3nHk3v2UunzZilu/L2ao/UNPX7s3qk6fdtO+vw/y4KRAIy/e6vspLNTDCMGDFv7lzat+9A23btiI+P5/zBQ5j0/ru1Ru+CB7/1LngIut4FD37rXfAQizYUFBSQm5tLQUEBu3J30aJFy4j0frfBb70LHmLRht7HHU/jxo0j0rhSfyw8+K13wYPfehc8BF0PoeVpDRo0ACA/P5/8/HwI+JI1EQlEchkbTDCMGLFhQw6Jia2KjxMSEsnJyak1ehc8+K13wUPQ9S548Fvvgodo9QkJCVx9zXV0bH847Vq35JCGh3DyKadWWh8LD0HXu+AhFm2IBr/rj4UHv/UuePBb74KHoOuLKCwsJCO9B4cnNOekk06mV6+MiGMYNQsbTDCqFRHZUUre5SIyzHs8QkQi+/nKMAzDcIotW7Yw6f33WLbyO75dl8POnTt5+aUX/bZlGIZhREHdunWZk7mAVWvWk5k5j6VLlvhtyfAZG0wwfEdVn1DV573DEUBEgwki4sRdSVq2TCA7e33xcU5ONgkJCbVG74IHv/UueAi63gUPfutd8BCt/vNPP+HwNm1o2rQp9erV45wB5/LVV7MqrY+Fh6DrXfAQizZEg9/1x8KD33oXPPitd8FD0PUladSoEcef0IepUyZXOYYLSECSy9hgguE7IjJeRK4XkUFAOvCSiCwUkQNFJE1EpotIloh8LCItPM00EXlQRDKBP4vIWSIyR0QWiMgnItLcK9dARJ4Rka9FZLGIDBSRkSLyYFj9Y0TkgWjbkd6zJ6tXr2LtmjXk5eXx+quv0K//2bVG74IHv/UueAi63gUPfutd8BCtPrF1a+bNmcOuXbtQVaZ9/hlJSZ0qrXehDX7rXfAQizZEg9/1x8KD33oXPPitd8FD0PUAmzZtYuvWrQDk5uby2aefcGTHpIhiGDUPJ37RNQwAVX1DRK4ErlfVTBGpBzwCnKOqm0RkMHAnMNKTxKtqOoCIHAocpaoqIqOBG4DrgJuBbaraNaxcPnCjiPxFVfOBS4HLSvoRkbHAWIBWrVtX6D8uLo4HHnqUs/qdRmFhIcNHjKRzcnKl2x90vQse/Na74CHoehc8+K13wUO0+l69Mhhw3kCO6ZVGXFwc3VN6MHL02ErrXWiD33oXPMSiDcMuHsqM6dPYvHkz7dskcvO4WxkxclQg6o+FB7/1LnjwW++Ch6DrAX7YuJExo0awt7CQvXv3ct6g8zmzX/+IYhg1D1FVvz0YtQgR2aGqDUrkjQd2qOp9IjKNXwcTugCzgO+8onWBjap6qlfuFlWd7sXoCtwPtADigTWqerqIZAFDVHVViTqfBD4ElgMvqGrP8nynpaXrzDmZ0TTdMAyjxhDtZwfXd6c2DMOobUTzvn7sUT2Zn5UZqDf2pu2T9Zx/vOq3jUrxnyFds4p+QHUNm5lguIwAS1X16DLO7wx7/AjwT1V9T0T6AOMriP0U8HfgG+CZ6GwahmEYhmEYhmHULmzPBMM1tgMHe49XAE1F5GgAEaknImXNyToEKLrHzfCw/KnAH4sOvGUOqOocoBVwIfByzNwbhmEYhmEYhmHUAmwwwahuDhKR7LB0bYnzzwJPiMhCQssaBgH3iMgiYCFwTBlxxwOve8saNofl3wEcKiJLvBh9w869BsxU1S1RtskwDMMwDMMwDKNWYcscjGpFVcsdwFLVN4E3w7IWAseXUq5PieN3gXdLKbeDfWcqhNMbiPouDoZhGIZhGIZhBAvbvid6bGaCUesQkUYishLIVdVP/fZjGIZhGIZhGIYRNGxmglHrUNWtwJF++zAMwzAMwzAMwwgqNphgGIZhGEZERHtrR7u1pGEYhltE874a1Hdk+1sSPbbMwTBiyJSPJ9MtuSPJSR2YcO/dtU7vgge/9S54CLreBQ9+613w4Lf+sjEjOTyhOekpXYvz3nrjddK6d+Gg+DpkZWbudw9+613wEHS9Cx781rvgwW+9Cx6Cro9VDKOGoaqWLFmqIKWmpmluvpabduwu0Lbt2umyFd/qtp17tGvXbjp/0dIKdTVF74IHv/UueAi63gUPfutd8LC/9bvy9laYpnw6TWfOydTOnZOL8+YvWqoLv16uxx1/gn45e16g+yAIHoKud8GD33oXPPitd8FD0PUVxUhNTVO/P6tHmpq066xjXlsSiARk+t1fZSWbmWAYMWLe3Lm0b9+Btu3aER8fz/mDhzDp/d/cYKLG6l3w4LfeBQ9B17vgwW+9Cx781gP0Pu54Gh/aeJ+8pE6dOLJjx0C0wa4D//UuePBb74IHv/UueAi6PlYxjJqHDSYYRozYsCGHxMRWxccJCYnk5OTUGr0LHvzWu+Ah6HoXPPitd8GD3/pY4Hcb7DrwX++CB7/1LnjwW++Ch6DrYxXDNUSCkVzGBhMMXxGR5iLyXxH5TkSyRGS2iJwbg7h9RGRSLDwahmEYhmEYhmEY+2KDCYZvSGgL1XeAL1S1naqmAUOARB+8RH1nk5YtE8jOXl98nJOTTUJCQq3Ru+DBb70LHoKud8GD33oXPPitjwV+t8GuA//1LnjwW++CB7/1LngIuj5WMYyahw0mGH5yIpCnqk8UZajqOlV9RETqisgEEZknIotF5DIonnEwTUTeEJFvROQlb1ACETndy5sPnFcUU0Tqi8jTIjJXRBaIyDle/ggReU9EPgM+jbYx6T17snr1KtauWUNeXh6vv/oK/fqfXWv0LnjwW++Ch6DrXfDgt94FD37rY4HfbbDrwH+9Cx781rvgwW+9Cx6Cro9VDJcQhDoSjOQyUf8aaxhRkAzML+PcKGCbqvYUkd8BM0Vkineuh6fdAMwEjhWRTOBJQgMUq4FXw2LdCHymqiNFpBEwV0Q+8c6lAt1U9edoGxMXF8cDDz3KWf1Oo7CwkOEjRtI5ObnW6F3w4LfeBQ9B17vgwW+9Cx781gMMv/hCvvhiGj9t3kyHtq24adx4Dj20MdddcxWbN23ivHP60a17Cu9/+LGTbbDrwH+9Cx781rvgwW+9Cx6Cro9VDKPmIapafgGRI4HHgeaq2kVEugFnq+od1WHQqLmIyFVAW1W9xjv+F9AbyAPWAd2AXV7xQ4DLvHM3quopnuZxQgMKS4CHVfV4L/9sYKyq9vcGGg4ACrxYjYHTgAzgBFW9tAx/Y4GxAK1at05b+e26GLbeMAyj9lLRZ4+KEMd/qTEMw6hNHJuRTlZWZqDemJu176ID733NbxuV4olByVmqmu63j9KozDKHJ4H/A/IBVHUxoXXthhEtSwnNDABAVf8InAQ0BQT4k6qmeKmtqhbNTNgTFqOQimfYCDAwLFZrVV3undtZlkhVJ6pquqqmN23SNMKmGYZhGIZhGIbhJA7cpaG23M3hIFWdWyKvoNSShhEZnwEHiMgVYXkHef9/DFwhIvUgNENGROqXE+sboI2ItPeOh4ad+xj4U9jeCj1i4t4wDMMwDMMwDKOWUpnBhM3eFzQFEJFBwMb96sqoFWhonusA4AQRWSMic4HngL8CTwHLgPkisgT4N+XMQFDV3YSWJHzgbcD4Y9jp24F6wGIRWeodG4ZhGIZhGIZhGFWkMhsw/hGYCCSJSA6wBrh4v7oyag2qupGyl8383UvhTPNSkf7KsMeTgaRS6sgltN9CyfxngWcjc2wYhmEYhmEYhmFUOJigqt8BJ3tTzOuo6vb9b8swDMMwDMMwDMMw9g+2mW/0VDiYICLjShwDoKq37SdPhmEYhmEYhmEYhmE4TGWWOYTvdn8A0B9YXkZZwzAMwzCMcon216Boby0ZCw+GYRiGUdupcANGVb0/LN0J9AHa7XdnhhFApnw8mW7JHUlO6sCEe++udXoXPPitd8FD0PUuePBb74IHv/WxiLF161YuHHw+KV060aNrZ+Z8Nbta63ehD2q73gUPfutd8OC33gUPQddfNnokrVs2Iy2lS8RaV6kTkOQ0qhpRAg4FVkeqs2QpyCk1NU1z87XctGN3gbZt106XrfhWt+3co127dtP5i5ZWqKspehc8+K13wUPQ9S548Fvvgge/9RXF2JW3t1LpoouH6b+emKi78vbq1h27dcOPPxefC3ofmD4YHvzWu+DBb70LHoKuz81XnfrZdJ01J0s7Jyf/5lxqapr6/Vk90tS0fbJe+dayQCQg0+/+KitVONghIl+LyGIvLQVWAA/u1xEOwwgg8+bOpX37DrRt1474+HjOHzyESe+/W2v0LnjwW++Ch6DrXfDgt94FD37rYxFj27ZtfPnlF4y4dBQA8fHxNGrUqNrqd6EParveBQ9+613w4LfeBQ9B1wP0Pu54GjduHJHGqPlUZuZEf+AsL50KtFTVR/erK8MIIBs25JCY2Kr4OCEhkZycnFqjd8GD33oXPARd74IHv/UuePBbH4sYa9esoUmTplw2eiRH9UzlistGs3PnzoqFMarfhT6o7XoXPPitd8GD33oXPARdbxhlUe5ggojUBT5W1XVeylHVgmryZgQIESkUkYVh6W+llOkjIpNiXG8fETkm7PhyERkWyzoMwzCM4FFQWMDCBfMZfdnlfDVvPvXr1+e+Kq61NgzDMGoWQmgj3iAklyn3bg6qWigiK0Sktap+X12mjECSq6opPtTbB9gBzAJQ1Sd88ABAy5YJZGevLz7OyckmISGh1uhd8OC33gUPQde74MFvvQse/NbHIkZCQiIJiYn06pUBwLnnDeK+CfdUW/0u9EFt17vgwW+9Cx781rvgIeh6wyiLyixzOBRYKiKfish7RWl/GzNqBiJyuoh8IyLzgfPC8seLyPVhx0tEpI33eJi3R8ciEXnByztLROaIyAIR+UREmnvlLweu8WZDHBceV0RSROQrL9bbInKolz9NRO4RkbkislJEjotFW9N79mT16lWsXbOGvLw8Xn/1Ffr1P7vW6F3w4LfeBQ9B17vgwW+9Cx781scixmGHHUZiYitWrlgBwOeffUqnTp2qrX4X+qC2613w4LfeBQ9+613wEHS9YZRFuTMTPA4gtG9CEQJUfmjfqC0cKCILw47vAt4FngROBFYDr1YURESSgZuAY1R1s4gU7fTyJXCUqqqIjAZuUNXrROQJYIeq3ufpTwoL9zzwJ1WdLiK3AbcAV3vn4lS1l4ic6eWfXKVWhxEXF8cDDz3KWf1Oo7CwkOEjRtI5ObnW6F3w4LfeBQ9B17vgwW+9Cx781scqxv0PPMylwy8mPy+PNm3b8e+nnq62+l3og9qud8GD33oXPPitd8FD0PUAwy4eyozp09i8eTPt2yRy87hbGTFyVEQxXKOO2ysIAoGoavkFROaramqJvMWq2m2/OjMChYjsUNUGJfJSgIdV9Xjv+GxgrKr2F5Hx7DsIsIRfN/s8TFVvLBGrK3A/0AKIB9ao6umlxBlPaNnDk8DXqtray28PvK6qqSIyDbhRVWeKSHNgpqp2KKVNY4GxAK1at05b+e26KHvJMAzDiAUVfXapDK6vQzUMwwgKx2akk5WVGag31eYduujQ+9/w20aleGhApyxVTffbR2mUucxBRK4Qka+BjmG3hlwsImuAxdVn0aihFLDv9XdABeUfAR5V1a7AZZUoXxF7vP8LKWOGjqpOVNV0VU1v2qRplNUZhmEYhmEYhmHUHMpb5vBf4CNC09XDd+bfrqo/71dXRk3hG6CNiLRX1W+BoWHn1uItnxGRVKCtl/8Z8LaI/FNVfxKRxt71dghQdA+b4WFxtgMNS1asqttEZIuIHKeqM4BLgOkxbJthGIZhGIZhGAHFljlET5mDCaq6DdjGvl8ADaMsSu6ZMFlV/+YtFfhARHYBM4CDvfNvAsNEZCkwB1gJoKpLReROYLqIFAILgBHAeOB1EdlCaMChaPDhfeANETkH+FMJT8OBJ0TkIOA74NIYttcwDMMwDMMwDKPWUpkNGA2jQlS1bhn5k4GkUvJzgVPL0DwHPFci711CGzqWLLsSCN+/Y0bYuYXAUaVo+oQ93gy0Kc2HYRiGYRiGYRiGUTqVuTWkYRiGYRiGYRiGYRhGMTYzwTAMwzAMwzAMw6g1iNhdfWKBzUwwDMMwDMMwDMMwDCMibDDBMGLIlI8n0y25I8lJHZhw7921Tu+CB7/1LngIut4FD37r/fawfv16Tju5Lz26dSa1ezKPPvxQtdZfUQwRqVSaOuVjundJokunI7hvwj37nFPVCtPDD/6T1G7JpHXvwrCLhpKbm1t8rjJcNnokrVs2Iy2lS5XaX14fmD44HvzWu+DBb70LHoKuj8XfBaMGUpk/ppYs1faUmpqmuflabtqxu0Dbtmuny1Z8q9t27tGuXbvp/EVLK9TVFL0LHvzWu+Ah6HoXPPitd8HDd99v0FlzsjQ3X/XHn3/RDkccUeP6YFfe3nLTqjXr9fA2bfSnbTt1V95ePW/g+frvp54uPl8ZD1M/m66z5mRp5+TkiNruynUQdL0LHvzWu+DBb70LHoKuz80v/+9Camqa+v1ZPdLUvEOyXv/+N4FIQKbf/VVWspkJhhEj5s2dS/v2HWjbrh3x8fGcP3gIk97/zQ0oaqzeBQ9+613wEHS9Cx781rvgoUWLFvRITQXg4IMPJimpExs25FRb/bGIEQsPBQUF5ObmUlBQwK7cXbRo0TIife/jjqdx48YRacLxuw+CrnfBg996Fzz4rXfBQ9D1EP3fBaNmYoMJhhEjNmzIITGxVfFxQkIiOTmVf5MNut4FD37rXfAQdL0LHvzWu+KhiHVr17Jw4QJ69sqo1vr97oOEhASuvuY6OrY/nHatW3JIw0M4+ZRS72i83/C7D4Kud8GD33oXPPitd8FD0PUlqcrfBaNmYoMJRrUjIgNEREUkqYzz00QkvZT8ESLy6P53aBiGYQDs2LGDoRcMZML9D9KwYUO/7VQrW7ZsYdL777Fs5Xd8uy6HnTt38vJLL/ptyzAMw1dq898F47fYYILhB0OBL73/o0ZEnLjFacuWCWRnry8+zsnJJiEhodboXfDgt94FD0HXu+DBb70rHvLz8xl6wUAGD72IAeeeF5G2JvTB559+wuFt2tC0aVPq1avHOQPO5auvZlVaHwv87oOg613w4LfeBQ9+613wEHR9EdH8XXCR0O0h3U8uY4MJRrUiIg2A3sAoYIiXd6CIvCIiy0XkbeDAsPKXishKEZkLHBuW/6yIPCEic4B7RaS9iEwWkSwRmVE060FEzheRJSKySES+8PKSRWSuiCwUkcUickQs2pbesyerV69i7Zo15OXl8fqrr9Cv/9m1Ru+CB7/1LngIut4FD37rXfCgqlw+ZhQdkzrx52uujch7LOqPRYxo9YmtWzNvzhx27dqFqjLt889ISuoUURuixe8+CLreBQ9+613w4LfeBQ9B10P0fxeMmokTv+gatYpzgMmqulJEfhKRNOAEYJeqdhKRbsB8ABFpAdwKpAHbgM+BBWGxEoFjVLVQRD4FLlfVVSKSATwGnAiMA05T1RwRaeTpLgceUtWXRCQeqBuLhsXFxfHAQ49yVr/TKCwsZPiIkXROTq41ehc8+K13wUPQ9S548FvvgodZM2fy35deoEuXrmSkpQBw6x3/4PQzzqyW+mMRI1p9r14ZDDhvIMf0SiMuLo7uKT0YOXpsRG0YdvFQZkyfxubNm2nfJpGbx93KiJGjqq0NtV3vgge/9S548Fvvgoeg6yH6vwtGzURUK3evZMOIBSIyidAX+akichXQGugAPKyqn3ll5gNjCQ0WnKeqw7z8q4AjVfVKEXkW+FxVn/NmO2wCVoRV9TtvcOIJoD3wGvCWqv4kIhcCNwLPe3mryvA61vNBq9at01Z+uy62nWEYhmH4RrSff8T1uaeGYRjVxLEZ6WRlZQbqTbHFEV10+ENv+W2jUtzTr2OWqv5mPzkXsJkJRrUhIo0JzRboKiJKaEaAsu9sg0jY6f1fB9iqqiklC6jq5d5MhX5Aloikqep/veUR/YAPReSyooGMEtqJwESAtLR0G3UzDMMwDMMwDMPwsD0TjOpkEPCCqh6uqm1UtRWwBsgCLgQQkS5AN6/8HOAEEfm9iNQDzi8tqKr+AqwRkfO9GCIi3b3H7VV1jqqOIzR7oZWItAO+U9WHgXfD6jMMwzAMwzAMwzAqgc1MMKqTocA9JfLeBHoAB4rIcmA5ocEFVHWjiIwHZgNbgYXlxL4IeFxEbgLqAa8Ai4AJ3gaLAnzq5f0VuERE8oEfgH/EoG2GYRiGYRiGYQQE+1U9emwwwag2VLVvKXkPV6B5BnimlPwRJY7XAKeXUq60+9bc7SXDMAzDMAzDMAyjCtiAjGEYhmEYhmEYhmEYEWGDCYZhGIZhGIZhGIZhRIQtczAMwzAMwzAMwzBqFXaH3+ixwQTDMAzDMGodYp8iDcMwDCMqbJmDYcSQKR9PpltyR5KTOjDh3sj3eAy63gUPfutd8BB0vQse/Na74MFvvQseYtGGwsJCjkrvwXnn9K+S3u82BF3vgge/9S548Fvvgoeg62MVw6hhqKolS5YqSKmpaZqbr+WmHbsLtG27drpsxbe6bece7dq1m85ftLRCXU3Ru+DBb70LHoKud8GD33oXPPitd8FDLNqQm69697336wVDhuoZZ/aLWOt3G4Kud8GD33oXPPitd8FD0PUVxUhNTVO/P6tHmloc0UVv+mhlIBKQ6Xd/lZVsZoJhxIh5c+fSvn0H2rZrR3x8POcPHsKk99+tNXoXPPitd8FD0PUuePBb74IHv/UueIhFG7Kzs5n80QdcOnJ0RLpYeajtehc8+K13wYPfehc8BF0fqxhGzcMGEwwjRmzYkENiYqvi44SERHJycmqN3gUPfutd8BB0vQse/Na74MFvvQseYtGGv1x3NXfedS916lTt45bfbQi63gUPfutd8OC33gUPQdfHKoZR87DBBGO/IiKFIrIwLP3Ny79aRA4KK7cjwrgtReSNCso8JSKdvcd/r4p/wzAMw6gKH34wiWZNm5Galua3FcMwDMPYL9jdHIz9Ta6qppSSfzXwIrCrKkFVdQMwqIIy4fNK/w78oyp1VZaWLRPIzl5ffJyTk01CQkKt0bvgwW+9Cx6CrnfBg996Fzz4rXfBQ7T62bNmMmnSe0ye/CF7du/ml19+4dJhF/PM8y9Wm4farnfBg996Fzz4rXfBQ9D1sYrhGnZTn+ixmQlGtSMiVwEtgc9F5POw/DtFZJGIfCUizb28Z0XkYRGZJSLficggL7+NiCzxHtcVkftEZImILBaRP3n500QkXUTuBg70Zka8JCK3icjVJer9c7TtSu/Zk9WrV7F2zRry8vJ4/dVX6Nf/7Fqjd8GD33oXPARd74IHv/UuePBb74KHaPW333kX367NZsXqtTz/0iv06XtiRAMJLrQh6HoXPPitd8GD33oXPARdH6sYRs3DZiYY+5sDRWRh2PFdqvqwiFwL9FXVzV5+feArVb1RRO4FxgB3eOdaAL2BJOA9oOTyhrFAGyBFVQtEpHH4SVX9m4hcWTRDQkTaAG8BD4pIHWAI0KukcREZ68WmVevWFTY0Li6OBx56lLP6nUZhYSHDR4ykc3JyhbqaonfBg996FzwEXe+CB7/1LnjwW++Ch1i0IVr8bkPQ9S548Fvvgge/9S54CLo+VjGMmoeoqt8ejBqMiOxQ1Qal5K8F0osGE0RkD3CAqqqIDAZOUdXRIvIsMFVVX/LKbVfVg70BgUmq2kVE3gSeUNWpJeqYBlyvqpklfYjIVOAGoDkwWlXLXTKRlpauM+dkVrUbDMMwDMMwDKNGcmxGOllZmYFaNNDyyK469tG3/LZRKW497cgsVU3320dp2MwEwxXy9deRrUL2vTb3hD2O1RvVU8AI4DDg6RjFNAzDMAzDMAzDqBXYngmGX2wHDo5RrKnAZSISB1BymYNHvojUCzt+Gzgd6Al8HCMfhmEYhmEYhmEYtQKbmWDsb0rumTBZVf8GTAQmi8gGVe0bZR1PAUcCi0UkH3gSeLREmYne+fmqepGq5nmbP25V1cIo6zcMwzAMwzAMIyAIUMdu5xA1Nphg7FdUtW4Z+Y8Aj4QdNwh7/AbeJouqOqKEroH3/1qgi/e4ALjWS+Fl+4Q9/ivw16Jjb+PFo4Dzq9AswzAMwzAMwzCMWo0tczBqHSLSGVgNfKqqq/z2YxiGYRiGYRiGETRsZoJR61DVZUA7v30YhmEYhmEYhmEEFRtMMAzDMAzDqGa+XLU5Kn3vI5rEyIlhGAb8elO1Kmhj6KM6sS0ToseWORhGDJny8WS6JXckOakDE+69u9bpXfDgt94FD9HqLxs9ktYtm5GW0iVibSz04H8f+K13wYPfehc8+K0HKCws5PLz+nLTFRcCsDF7HX8afBrJSR24+MLB5OXlFZd94/XX6NGtM6ndkxl+yYW+t2H9+vWcdnLfYk+PPvxQtdZfxKMPP0RaShdSuyfzyEMPVrsHv/X2nuyGh6Drs9ev5/RTTiS1WzJp3bvwr0dCr+dFCxey4ptvEJGFIpIpIr0iDm4EF1W1ZMlSBSk1NU1z87XctGN3gbZt106XrfhWt+3co127dtP5i5ZWqKspehc8+K13wUMs2jD1s+k6a06Wdk5OjkgXK73ffeC33gUPfutd8LC/9VOXbapUuuyG27Rvv/M044RTdOqyTXr8aWfr3++bqLn5qqPHXKYPPfKY5uarfr1spXbvnqIbfvxZc/NV1+X8z/c++O77DTprTpbm5qv++PMv2uGII6r9Ospc8LV2Tk7Wn7bt1O25+dr3xJN0yfJVzlwH1dEHtf092QUPQdDvyttbbvp2XY7OnJOpu/L26v9+2qYdOhyhWQuX6Eknn6Lt2ndQVQU4E5jm9+f2yqSWR3TR26auCkQCMv3ur7KSzUwwjBgxb+5c2rfvQNt27YiPj+f8wUOY9P67tUbvgge/9S54iEUbeh93PI0bN45IE0u9333gt94FD37rXfDgtx5g0w8bmDN9KmcMvBgI/QC0cM6XHH/qWQBcdMlw3n/vHQCe/s+TXHbFHzn00EMBaNasme9taNGiBT1SUwE4+OCDSUrqxIYNOdVWP8A33yynZ88MDjroIOLi4jju+BN45523qs2D33qw92QXPARdD97rucevr+eO3utZRNhbWHyX9UOADREF9guBOgFJLmODCYYRIzZsyCExsVXxcUJCIjk5lf/QFHS9Cx781rvgIRZt8Bu/+8BvvQse/Na74MFvPcDjd9/ImOtvoU6d0Me1X7b+TIODG1I3LrTlVUJiYvGX81WrVrJq1Ur6Hn8sxx97FFM+nuxEG4pYt3YtCxcuoGevjGqtPzm5CzNnzuCnn35i165dTP7oQ7LXr682D37rY4HfbbD3E//1JVm3di2LFoVez/fe9wA5OdmIyHrgPuD/qhzYCBw2mGBUKyJymIi8IiLfikiWiHwoIkf65KWRiPzBj7oNwzAMozy+mjaFRo2bcmRy90qVLywoYPXqVUz5dBrPv/gyf7h8DLt27tzPLivHjh07GHrBQCbc/yANGzas1rqTOnXiuuv/yllnnMrZ/U6ne/cU6tatW60eDKMmsWPHDoYOHsS99z1Aw4YNeXLi4yQmtkJVWwHXAP/x26NRfdjdHIxqQ0QEeBt4TlWHeHndgebASh8sNQL+ADwWi2AtWyaQnf3rrx05OdkkJCTUGr0LHvzWu+AhFm3wG7/7wG+9Cx781rvgwW/90vlzmP35ZOZ+8Ql5e3aza+cOHvvHjezY/guFBQWhmNnZtGwZipmQkEjPXhnUq1ePNm3bcsQRR1JQUOD785ifn8/QCwYyeOhFDDj3vIi0sXo/GzFyFCNGjgJg3E1/JyEhsdo8+K2PBX63wd5P/NcXkZ+fz4WDBzFk6IXFr+eXXniedu07FBV5HXgq4sBGYLGZCUZ10hfIV9UnijJUdRHwpYhMEJElIvK1iAwGEJE+IjJNRN4QkW9E5CVvQAIRuVtElonIYhG5z8trKiJvisg8Lx3r5Y8Xkae9WN+JyFVe9XcD7b3dZydE27j0nj1ZvXoVa9esIS8vj9dffYV+/c+uNXoXPPitd8FDLNrgN373gd96Fzz4rXfBg9/6UdfezMufL+bFT+Zz4/1PkpLRm/+b8ATdex3LF1PeB+ClF56j/1nnAHDWOQP4Yvo0ADZv3syqVSs5o19/X9ugqlw+ZhQdkzrx52uurbQuVvUX8eOPPwLw/fff8+47bzF46IXV5sFvfSzwuw32fuK/HkKv5yvGjqZjUhJXXf3r67lFi5bs2LGj6PBEYFVEgX1EAvLPZWxmglGddAGySsk/D0gBugNNgHki8oV3rgeQTGgzl5nAsSKyHDgXSFJVFZFGXtmHgAdU9UsRaQ18DHTyziURGsw4GFghIo8DfwO6qGpKLBoXFxfHAw89yln9TqOwsJDhI0bSOTm51uhd8OC33gUPsWjDsIuHMmP6NDZv3kz7NoncPO7W4l/1qkPvdx/4rXfBg996Fzz4rS+LMdeN487rx/LK4/fQPaVH8WvrlFNP45OpU+jRrTN169TlH3dPoHnz5r62YdbMmfz3pRfo0qUrGWkpANx6xz84/Ywzq6X+IoZeMJCff/6JenH1ePDhf9GoUaNKa/2+Dlx4T/e7DfZ+4r8eYPassNdzeg8Abr39Tv71xETOOvN0RGQRsBsYG1FgI9CIdxsPw9jveDMC2qrqNSXyHwC+VtWnveMXCE2T+gW4UVVP8fIfJzSg8AqhQYksYBIwSVXzRORH9t1BtinQEbie0IyIO704y4FTCA2mTVLVUm+8LCJj8d4QW7Vunbby23XRd4JhGIZhAF+u2hyVvvcRTWLkxDAMIzTzoKoce1RP5mdluv0TegkSOnbVPz72jt82KsWNJ3fIUtV0v32Uhs1MMKqTpcCgCDV7wh4XAnGqWiAivYCTvHhXEppWVQc4SlV3hwfwVkb8Jk5FFavqRGAiQFpauo26GYZhGIZhGEYNQHD/totBwPZMMKqTz4Dfeb/4AyAi3YCtwGARqSsiTYHjgbllBRGRBsAhqvohoV1ji7a6ngL8KaxcSgV+thNa9mAYhmEYhmEYhmFEgA0mGNWGhuZPnQuc7N0acilwF/BfYDGwiNCAww2q+kM5oQ4GRm8JIAABAABJREFUJonIYuBLoGgXmKuAdG9TxmXA5RX4+QmY6W38GPUGjIZhGIZhGIZhGLUFW+ZgVCuqugG4oJRTf/FSeNlpwLSw4yvDTvcqJfZmYHAp+eNLHHcJe1z5LZ0NwzAMwzAMw6gR2DKH6LGZCYZhGIZhGIZhGIZhRIQNJhiGYRiGYRiGYRiGERG2zMEwDMMwDKOaifbWjj9s3V1xoQo4rNEBUccwDKNm4N39rGraGPowgoXNTDCMGDLl48l0S+5IclIHJtx7d63Tu+DBb73fHtavX89pJ/elR7fOpHZP5tGHH4pIv3LFCjLSUopTs8YNeeShByOKEfQ+dEHvgofLRo+kdctmpKV0qbjwfqg/FjGCro82xg1XXUZ6p9acdlxacd6Voy/mzD4ZnNkng44d2pCRllJ8bsI9d5Gc1IFuyR2ZOuXjmLTBb32074mx8OC33gUPfuujjRHt+2G09bugB3j4wQdI7Z5MWkoXhl08lN27ox/U9BMRCUSqZFsaicgbIvKNiCwXkaNFpLGITBWRVd7/h3plRUQeFpHV3sb1qVXuRFW1ZMlSBSk1NU1z87XctGN3gbZt106XrfhWt+3co127dtP5i5ZWqKspehc8+K13wcN332/QWXOyNDdf9ceff9EORxwRcRvCvTRv3ly/Wb22VvWh33pXPEz9bLrOmpOlnZOTq3TtBL0P/NZXFGPNptwK0yvvTtX3P5mlRyZ1LvX8VVdfqzffcqvm5qvOX7RUu3btplt37NblK7/Ttu3a6badewLfh9G+J/rdBnstudEH0bwfutAHsejD1Wuz9fA2bfTnX3Zpbr7qeYPO14lPPaO5+aqpqWnq92f1SFPCkV303s+/DUQCMitqD/AcMNp7HA80Au4F/ubl/Q24x3t8JvARoUklRwFzqtqPNjPBMGLEvLlzad++A23btSM+Pp7zBw9h0vvv1hq9Cx781rvgoUWLFvRIDQ0wH3zwwSQldWLDhpyI2lDE5599Stt27Tn88MMrrakJfei33hUPvY87nsaNG0ekiWX9fveB3/pYxMg4pjeNDi39OVRV3nzjNS4YPBSASe+/y/mDh/C73/2ONm3b0r59B1547tnA92G074l+t8GF6yjo+ljEiOb9MBb1+60voqCggNzc3ND/u3bRomXLiGMYsUdEDgGOB/4DoKp5qroVOIfQIAPe/wO8x+cAz2uIr4BGItKiKnXbYIJhxIgNG3JITGxVfJyQkEhOTuU/sARd74IHv/WueChi3dq1LFy4gJ69Mqqkf/3VV4q/aFSWmtCHfutd8RANNaEP/NbHKkZZzJ09k+bNmtPhiCMAyMn5bV0rV64IfB+GU5X3RL/b4MJ1FHR9rGJEg999EIv2JyQkcPU113Nku9a0bdWChg0P4eRTTo0ohksIoVtDBiFVgrbAJuAZEVkgIk+JSH2guapu9Mr8ADT3HicA68P02V5exNS6wQQRKRSRhWHpbzGKO15ErvcePysig2IRt5z6RohIqcOBInKbiJwcgzpSROTMsOPiNu4vRKSPiBxTBV1xn3svoM6xd2cYwWHHjh0MvWAgE+5/kIYNG0asz8vL44NJ73HeoPP3gzvDMPzm/bdf4/whkQ0WBplo3xMNo7azZcsWJr3/LstXreG77zewc9dOXn7pRb9t1RaaiEhmWBpb4nwckAo8rqo9gJ2EljUUo6H1DRprY7VuMAHIVdWUsFTpHUhExKW7X4wASh1MUNVxqvpJDOpIIbSmJiaISN1KFOsDRDyYEI6qjlbVZdHEqAotWyaQnf3rIF9OTjYJCZUf5Au63gUPfutd8ZCfn8/QCwYyeOhFDDj3vIi0RXw8+SNSeqTSvHnziguHURP60G+9Kx6ioSb0gd/6WMUojYKCAiZ/8C6Dzh9cnJeQ8Nu6jjyyY+D7EKJ7T/S7DS5cR0HXxypGNPjdB7Fo/2effkKbNm1p2rQp9erVY8CA8/hq9qyIYhhVZrOqpoeliSXOZwPZqjrHO36D0ODC/4qWL3j//+idzwFahekTvbyIqY2DCaUiImtF5FYRmS8iX4tIkpc/XkReEJGZwAsi0kZEPvN2vvxURFpXIu5d3iyITBFJFZGPReRbEbk8rNxfRGSeF/dWL6+NtxvnkyKyVESmiMiB3i/w6cBLXtwDS9QZ/it9qe0qUf4AEXnGO79ARPqKSDxwGzDYq6PoE0dnEZkmIt+JyFVhMS4Wkble2X8XDRyIyA4RuV9EFgFHl6j3KhFZ5rX5FRFpA1wOXOPFOa7kLA8R2eH9LyLyqIisEJFPgGZhZaaJSLr3+FQRme21/3URaeDl3x1W933lPYeVJb1nT1avXsXaNWvIy8vj9VdfoV//s2uN3gUPfutd8KCqXD5mFB2TOvHna66NyHs4r736csRLHKBm9KHfelc8RENN6AO/9bGKURozp39G+w5HkpiYWJzXr//ZvP7qK+zZs4e1a9awevUqLh42PPB9GO17ot9tcOE6Cro+VjGiwe8+iEX7W7Vqzdy5X7Fr1y5U9f/Zu/P4Ksrz/eOfGyJuoEgFhQBCAAnZSQLUteBSF1BRUERUEBXtr2rr1vpt3ZdqxVZBaq3aFrW2WrUqUGVRRBAUSBCQRZBNSUAFFSUkkJDcvz/OJA0xew55nknut695ec6cuWauGU6WM5nzHN6d/Q694/vUaR1m/1DVL4DNItI7mHUqsAqYAowO5o0GSgfKmAJcHrye+jHwXbm3Q9SJT39pbywHi8jScvcfVNWXgtvbVTVdRP4fcAtwVTA/AThRVQtEZCrwrKo+KyJjgYn8bzCLqnyuqmki8igwGTgBOAhYATwpIj8FegH9ibyFZ4qInAx8HswfqapXi8i/gWGq+g8RuQ64RVWzarHPVe1XqZ8TufolOTjZMBM4FrgTyFTV6yByYgWIBwYBbYA1IvJnoCcwAjhBVYtE5AlgFPAccCiREUJvrqTXbUB3Vd0jIm1VdYeIPAnkqeojwTavrGKfzgd6E/m3OYrIF8zfyi8gIkcCtwOnqeouEfk1cJOI/CnIx6uqikjbGo9gLcTExPDohEmcM/gMiouLGT1mLAmJic0m70MH13kfOiyYP59/vvA8SUnJZR/5ds/9v+PMs2p/kdGuXbuY/fYsJj3xl1pnSjWFY+g670uHyy8dybz35rB9+3Z6dOvMHXfew5ixVX1Ljv72XR8D1/lorOOGcZfz4fx5fPvNdo5L6cEvf3UHIy4dw9TXXubcCy7aZ9mExESGXXgRfVMSiImJ4bGJf+LAAw8M/TFs6PdE1/vgw/Mo7PlorKMh3w+jsX3XeYD+AwZw/gXDOa5/OjExMaSm9uXKqytebR8iArX81MWwuJ7IH5pbARuAK4hcOPDv4PXUZ0DpN/43iVx9vg7ID5atFwk+HqLZEJE8VW1dyfxNRF4M54rIAOABVT0teAGtqlp6tcB2oGPwovkAYKuqHhksl6eqj4jIZGCaqr5SYb1jgeNU9epgXZ8DKURe8A4HdgR1WgMPAu8As1S1V7D8r4EDVPV+EZlDFScTqtl+2X5VWP414HFVnR3cn0fkBEM6PzyZUKSqDwT3VwOnEzmZ8hv+d+nMwcC/VPVuEdkLHKiqxZX0nA7kAa8Dr6tqXvnjWHFfgvt5qtpaRB4Dlqvq34L5/wH+GezzHCInTY4mcvImJ9hkK+AD4BogO5imBesvrKTfOGAcQJeuXTPWrv+s4iLGGGOME1/saPjnux/d9qAoNDHGNHcnDMgkOzsrVC/Nu8Qn641P1f0TLVy4+Sc9slU103WPyjTHKxOqsyf4fzH7HptdUVpvSbnbpfdjiFyN8KCq7vNnwOCy//LLFxN5oV7f7Vfcr/qo2Ke0/7Oq+n+VLL+7shMJgcFEPsbkHOC3IpJcyTJ7Cd6OIyItiJwQqC0hcjLmB9dqi0h/IpcADQeuA06puEzwfqSnADIyMpvXWTdjjDHGGGOMqYaNmVB3C4CLg9ujgHlRWOcMYGy59/PHikiHGjI7ibzVIBrmEdkXRORYoCuwpg7beAcYXtpZRNqJSLUfTB+cGOiiqu8CvwYOJ3JFRsVtbgIygtvnAgcEt+cSGc+hpUQGFBlUyWY+BE4QkZ7BNg8VkWOD43y4qr4J3Aik1mIfjTHGGGOMMU1EC5FQTD5rjlcmVBwzYbqq1uXjIa8n8hmetxL5PM96v8eklKrOFJE+wAcSecLkAZcS+ct/VSYTGW+hgMhbJwoaUOEJ4M8i8jGRKwHGBOMYvAvcFhyvB6vpv0pEbgdmBicJioi8TaK69wW0BP4hIocTuYJgYjBmwlTgFRE5j8ixfhp4IxjAcTr/u0rkNSJXE6wiMrbEB5X02iYiY4B/iciBwezbiZyweENEDgq2Xf9R6owxxhhjjDGmGWp2YyYYUx8ZGZk6f2Ftxro0xhhj9j8bM8EY44uwjplw89NTXNeolRtPjrMxE4wxxhhjjDHGGNcEaBGq0x9+sjETjDHGGGOMMcYYUyd2MsEYY4wxxhhjjDF1YicTjImSa64aS9dOHchIS6r3OmbOmE5KYm8S43sy/uGHQpf3oYPrvOsOu3fv5sTj+tM/PZX01ETuu+euRt1+NPI+dGjo13PYj8HmzZs547RB9E1JID01kUkTJzTq9qO1jrDnq/t3OLrtQbWali+cw09PSOXUHyfx/FOP7fPY1zv3VDuNGT2azh07kJacWDbvttv+j76pyWT0TWXIWT9ly5YtAHz77bdcNPx8+vVN4cTj+rNyxQovjiFAcXExP87sywXnDalX3vU+2NeSHQPY/z+XVLXaadxVV0S2n5r0g8e++PJLRERF5Mh6lTPhVdMTxyabbFLS0zO0oEirnWbNfk8XLMzWhMTEGpetbMrbvVe7x8XpqjXr9btdezQ5OUWXLFsZmrwPHVznfeiQX1ii277dqQVFqt/nF2pmv/46Z94HoenvS4eGfD03hWOw4fMtumBhthYUqX71zffas1evZvc8cJ1vjH+HnG92Vzu9Mm2WvvXuB9o7PqFs3upNX5XdfuSPE/Sqq6/RgiLVX950i95+591aUKS69OPVOnDQKV4cw4Ii1Yce/oNedPFIPevswXXOut4H+1qyY1A67e+fS/mFJdVOM9+Zo/MXZmlCQuI+89eu/0zbtDlMiXyK25Guf2ev7dSld5JOfH9DKCYgy/XxqmqyKxOMiZITTzqZdu3a1Tu/eNEievToSfe4OFq1asWFIy5m2tQ3QpP3oYPrvA8dRITWrVsDUFRUxN6iIqQOn1Hsur8vHRry9dwUjkHHjh3pm54OQJs2bYiP78OWLbmNtv1orCPseXD/7/Dj40+i7RFH7DOvzWGHld3Oz99V9v3lk9Wr+MmgUwDoHR/PZ59tYsaM6c6PYU5ODtPf+i9XjL2qTrlodXCd96GD67wPHZrCz6UTTzqZdkf8cPu/uuUmOsXGAthHBDZDdjLBGE9s2ZJL585dyu7HxnYmN7f2vzS6zvvQwXXelw7FxcUMyEija6cOnHLa6fQfMKDRtt9UjmFDNLVj8NmmTSxd+hH9+jfe8yga6wh7viJX/w6V+f39d9IvqQcv/usF7rj7XgCSU1J547X/AJEXLp9/9hmrV65wfgxvvfmXPPDgw7RoUb9feV0/D+xryY5BNOyv7U+d8gadYjtxyCGHNHhdJpzsZIIjIlIsIktFZIWITBWRtq47lRKROSIStc8yFZFNIvJxMK0SkftFpF4fbi0i14rI5dU8fq6I3Fb/tsaEX8uWLVmYvZR1m3LIWryo7L3LxtRVXl4eIy8axvg/PMZh5f4ibRqXb/8Ov779XhavWM/FI0fx5BOTALjlV7fx3Y4dDMhI489/epzUtL71fgEfLW/+dxod2ncgPSPDaQ9jmqL8/HzG//5B7rjrXtdV6kloEZLJZ3YywZ0CVU1T1STgG+DnjblxiYj6v7+IxFTx0CBVTQb6A3HAX+qzflV9UlWfq+bxKapav5F5HOvUKZacnM1l93Nzc4iNXDYWirwPHVznfelQqm3btvxk4CBmzpzeaNtvasewPprKMSgqKmLkRcMYMXIUQ8+/oE7ZpnAMXOdLuf53qM6IkaN4/bVXATjssMN46q9/Z2H2Uv46+Tm2b99GSlpfp8fwgwXzmTZtCr17duPyURcz593ZXHH5pbXOR6OD67wPHVznfejQFH4uVbRh/Xo+27SRAZlprFzxMUBnYImIHN2gFZtQsZMJfvgAiAUQkR4iMl1EskVknojEB/MvDK5iWCYic4N5LUVkvIgsFpHlInJNML+1iLwjIkuCqwHOC+Z3E5E1IvIcsALoIiK/DpZZJiLlX4RfKCKLRGStiJxUw/YGBl2nAKuq21FVzQOuBYaKSLsgf2u5dd5TuqyIXB7MWyYizwfz7haRW4LbNwRXOiwXkReDeWNEZFK5/Z0dPP6OiHQN5k8WkYkiskBENojI8Hr/y0VRZr9+rFv3KZs2bqSwsJCXX3qRwUPODU3ehw6u8z502LZtGzt27ACgoKCAd96eRe/e8aHp70uHhmgKx0BVufbqK+kd34df3HhTnbpHY/vRWEfY8+DHv0NFG9avK7s9bcobHBt8f9mxYweFhYUA/P2vz3DiiSfzk58MdHoM73vgQdZvymHNuk0898KLDBx0Cn9/7h+1zkejg+u8Dx1c533o0BR+LlWUlJzMZ7lf8smnG0lMSgbIAdJV9YtodDbhUNVfkU0jEZGWwKnAX4NZTwHXquqnIjIAeAI4BbgTOENVc8u9JeJK4DtV7SciBwLzRWQmsBk4X1W/Dz6i5cPghT5AL2C0qn4oImcB5wEDVDW/9MV9IEZV+4vI2cBdwGnVbA8gHUhS1Y017XPQayPQS0QODzr1BwSYIiInA18DtwPHq+r2Ct1K3QZ0V9U9VbxN5HHgWVV9VkTGAhOBocFjHYETgXhgCvBKTb1rcvmlI5n33hy2b99Oj26duePOexgz9spa52NiYnh0wiTOGXwGxcXFjB4zloTExNDkfejgOu9Dhy+2buXqsaMpLi6mREsYNvwizh5c+49Dc93flw4N+XpuCsdgwfz5/POF50lKSmZARhoA99z/O8486+xG2X401hH2PLj/d/j5VZfxwfx5fPP1djITe3Dzbbcze9YMNqxbi7RoQVz3bkz805MAfLJ6NVdfORoRoU9CIk8+9VcvjmFDud4H+1qyY1DK9c+l0Zdewty5c/h6+3Z6du/C7XfezZgrav97rmmaRNUG3nRBRIqBj4lckbAaGAQcDGwD1pRb9EBV7SMiTwI9gH8D/1HVr0XkFSAFyA+WPRy4BngXeBQ4GSgBegPdgYOAd1W1e9DhD8Anqvp0hW5zgN+q6nwROQqYr6o9q9leIXCXqg6qYl83AZmqur3cvGXAOOBCYDiwI3ioNfAgcAhwtKr+tsK67gbyVPUREZkO5AGvA6+rap6IjAm2dZ2IbAc6qmqRiBwAbFXVI0VkMjBLVV8I1rlTVdtU0ntc0JEuXbtmrF3/WWW7Z4wxxoTS1zv3NCj/ozYHRqmJMca1hrwmPOHH/ViSneX3m/srOCY+RX/9tyk1L+iBn5/QPVtVozaeXTTZlQnuFKhqmogcAswgMmbCZGCHqqZVXFhVrw2uVBgMZItIBpG/5F+vqjPKLxu8oG4PZAQvpDcROZEAsKuW/Up/wyjmf8+TqrY3sA7rRUTaAN2AtcE6H1TVv1RY5vparGowkRMm5wC/FZHk2nbgf/tH0OEHVPUpIleKkJGRaWfdjDHGGGOMMSZgYyY4pqr5wA3AzUT+4r9RRC6EskESU4PbPVR1oareSeTqhS5ETkL8LPirOyJyrIgcSuSKga+CEwmDgGOq2Pws4IrghAZVvJWgvKq2V2si0prIWzdeV9Vvg3WODeYjIrEi0gGYTWTchh9V1k0ig0d2UdV3gV8H+9y6wuYWABcHt0cB8+rS1RhjjDHGGGNM5ezKBA+o6kcishwYSeRF759F5HbgAOBFYBkwXkR6Efkr+jvBvOVE/sK/RESEyEmGocALwFQR+RjIAj6pYrvTRSQNyBKRQuBN4DfVVH2miu3VxrtBpgXwGnBf0GGmiPQBPog8TB5wqaquFJEHgPeCt4R8BIwpt76WwD+CMRcEmKiqO4J1lLoe+LuI3Bp0vaKWXY0xxhhjjDFNlUCLUL0xw082ZoIxtZCRkanzF2a5rmGMMcZEjY2ZYIwp1ezGTOiTov8XkjETfna8v2Mm2NscjDHGGGOMMcYYUyf2NgdjjDHGGGOMMc1KCwnVxRResisTjDHGGGOMMcYYUyd2ZYIxxhhjTDPU0DEP9haXNCgf07Jhf9OKxrhfYn+ZNAZo2NeCfRU1X3ZlgjFRNHPGdFISe5MY35PxDz/U7PKuO2zevJkzThtE35QE0lMTmTRxQqNuP1rrCHv+mqvG0rVTBzLSkuqcjVYH188jH56Lro9B2J8HPuR3797Nicf1p396Kumpidx3z12N3qEh+ZzNmzn7p6eSmZZEv77JPDFpIgCjL72Y4/unMyAjjd49uzEgI22/9S9dR2piPEl9evFIyJ4H9rUYnbwPHVzno/FcAiguLubHmX254Lwh9cqbJkZVbbLJphqm9PQMLSjSaqe83Xu1e1ycrlqzXr/btUeTk1N0ybKVNeaaSt6HDhs+36ILFmZrQZHqV998rz179Wp2x8B1vqBIddbs93TBwmxNSEysU86XfWjo88iH56IPxyDszwPX+YIi1fzCEt327U4tKFL9Pr9QM/v11znzPvBmH3buLq52+nRjjs77YLHu3F2sW7bt0B49e+nijz4ue7ygSPWGX96kd9x1T722n19YUuO0s6BIu8fF6cpP1umOvN2anJyi2UtXlD3u+hja12LjfC257uA6H63nUkGR6kMP/0EvuniknnX24LJ56ekZ6vp39bpOx8Qn61MfbgrFBGS5Pl5VTXZlgjFRsnjRInr06En3uDhatWrFhSMuZtrUN5pN3ocOHTt2pG96OgBt2rQhPr4PW7bkNtr2o7GOsOcBTjzpZNq1a1enTDQ7uH4eRWMdTeEYhP154DoPkcuOW7duDUBRURF7i4rqdCmy6304umNH0vr+73nUOz6eLbn/ex6pKq++8m8uGjFyv2wfIGvxvusYftGIUD0P7GvRfjZHIw/ReS7l5OQw/a3/csXYq+qUM02XnUwwJkq2bMmlc+cuZfdjYzuTm1v7b9Jhz/vSodRnmzaxdOlH9Os/oFG37/oYuM5Hg0/7UJ/nUTTW0dSOQX24Pgau86WKi4sZkJFG104dOOW00+k/ILzPo+VLl5JZ7nk0//15HNXhKHr26rXftr8lN5fYzp33WUddXkD5dgzta9F+NtcnX1F9n0u33vxLHnjwYVq0sJeQJsKeCWa/E5GjReRFEVkvItki8qaIHLuft9lJRF4JbqeJyNn7c3vGL3l5eYy8aBjj//AYhx12mOs6JqSi8TwK+3Mx7P2bgpYtW7IweynrNuWQtXgRK1escF2pzvLy8rh05IU89Mgf93ke/fvFf3HhxZVflWD2ZV+LJlrq+1x687/T6NC+A+kZGfuxXeNqIRKKyWd2MsHsVxK5HvM1YI6q9lDVDOD/gKP253ZVdYuqDg/upgH7/WRCp06x5ORsLrufm5tDbGxss8n70qGoqIiRFw1jxMhRDD3/gjplm8IxcJ2PBh/2oSHPo2iso6kcg4ZwfQxc5ytq27YtPxk4iJkzpzdah2g9jy69eDgXXXwJ5w393/No7969vPH6fxh+4Yj9uv1OsbHk5uTss45OncL1PLCvRfvZHK3vJw15Ln2wYD7Tpk2hd89uXD7qYua8O5srLr+0zh1M02InE8z+NggoUtUnS2eo6jLgIxF5R0SWiMjHInIegIh0E5FPROQFEVktIq+IyCHBY3eKyGIRWSEiTwUnKhCRniLytogsC9bXI1jPChFpBdwLjBCRpSIyQkQ+FZH2QbaFiKwrvd8Qmf36sW7dp2zauJHCwkJefulFBg85t9nkfeigqlx79ZX0ju/DL268qU7do7H9aKwj7PlocL0PDX0eRWMdTeEYNJTrY+A6D7Bt2zZ27NgBQEFBAe+8PYveveNDsw+qys+vuYre8X24/hc37vPYu7Pf5tje8XQu9xaEaG8fICNz33W88u+XQvU8sK9F+9kcjTw0/Ll03wMPsn5TDmvWbeK5F15k4KBT+Ptz/6jzekzTEuO6gGnykoDsSubvBs5X1e9F5EjgQxGZEjzWG7hSVeeLyN+A/wc8AkxS1XsBROR5YAgwFXgBeEhVXxORg4icJOsAoKqFInInkKmq1wXZeGAU8BhwGrBMVbdVLCgi44BxAF26dq1xR2NiYnh0wiTOGXwGxcXFjB4zloTExFocoqaR96HDgvnz+ecLz5OUlFz2UWP33P87zjyrdhemNIVj4DoPcPmlI5n33hy2b99Oj26duePOexgz9srQ7ENDn0fRWEdTOAZhfx64zgN8sXUrV48dTXFxMSVawrDhF3H24Np/HJvrffhgwXz+9c9/kJiUzPH9IwO/3XXv/Zxx5tm88u+Xqhx4MVrbL13HHx97nHMHn0lxSTGXj74iVM8D+1q0n83RyEN0nkvGVCSq6rqDacJE5Aagu6reWGH+AcCjwMlACZETCN2Bg4C5qto1WO4U4AZVHSoiw4BfAYcA7YDHgT8Bq1W1c4X1dwOmqWqSiIxh35MJXYA3VDVdRF4E/qGq06rbj4yMTJ2/MKsBR8IYY4xpWvYWlzQoH9OyYRfIRuN32Lp8OoYxpnInDMgkOzsrVF9M3fqk6J3PVfvrvzeu7H9Mtqpmuu5RGXubg9nfVgKVjdQyCmgPZKhqGvAlkRMJABV/O9DgioMngOGqmgw8XW75OlHVzcCXwYmK/sBb9VmPMcYYY4wxxjRXdjLB7G+zgQODtwwAICIpwDHAV6paJCKDgvuluorIccHtS4D3+d+Jg+0i0hoYDqCqO4EcERkarPvA0jEWytkJtKkw7xngH8DLqlrcwH00xhhjjDHGmGbFTiaY/Uoj1yCeD5wWfDTkSuBB4E0gU0Q+Bi4HPikXWwP8XERWA0cAf1bVHUSuRlgBzAAWl1v+MuAGEVkOLACOrlDjXSChdADGYN4UoDXw96jtrDHGGGOMMcZ7QuSFcBgmn9kAjGa/U9UtwEWVPHRcxRnBWAd7VfUHnzWjqrcDt1cy/1PglErWnxQ8/g3Qr8JjqUQGXvzkByljjDHGGGOMMdWykwmm2RGR24CfERm3wRhjjDHGGGNMHdnJBOMVVd1EcEXBftzGQ8BD+3MbxhhjjDHGGE+JfZpLNNjJBGOMMcYYU2euP9rRXggYY4xbvo/pYEyozJwxnZTE3iTG92T8w3W/+CHseR86uM770CHseR86uM770MF13ocOrvM+dHCdv+bqsRwTexSZacll87755huGnPVTkvr0YvCZp/Ptt996vQ+u8z50cJ33oUPY89Fah2liVNUmm2yqYUpPz9CCIq12ytu9V7vHxemqNev1u117NDk5RZcsW1ljrqnkfejgOu9Dh7DnfejgOu9DB9d5Hzq4zvvQYX/n8wtLapxmvjNH5y/M0oSExLJ5N950i957/++0oEj13gce1Jtu+VVoj4E9j+wYhCFf0zrS0zPU9e/qdZ269UnWyYs/D8UEZLk+XlVNdmWCMVGyeNEievToSfe4OFq1asWFIy5m2tQ3mk3ehw6u8z50CHvehw6u8z50cJ33oYPrvA8dXOcBTjzpZNod0W6fedOmTmHUZaMBuPSy0Uyd8rq3++A670MH13kfOoQ9H611+EZCMvnMTiYYEyVbtuTSuXOXsvuxsZ3Jzc1tNnkfOrjO+9Ah7HkfOrjO+9DBdd6HDq7zPnRwna/KV199SceOHQE4+uij+erLL/dbh7DnfejgOu9Dh7Dno7UO0/TYyQTzAyJSLCJLy023BfN/KSKHlFsur4r8tSJyeT23Xek6g8eGioiKSHw91jtQRKYFt88tt09DRSShPl2NMcYY45aI2ECMxhjjiH2ag6lMgaqmVTL/l8A/gPzqwqr65H7oBDASeD/4/131XYmqTgGmBHeHAtOAVQ0t16lTLDk5m8vu5+bmEBsb22zyPnRwnfehQ9jzPnRwnfehg+u8Dx1c533o4DpflQ4djmLr1q106tSJrVu30r5Dh/3WIex5Hzq4zvvQIez5aK3DJwK0sBORDWZXJphaEZEbgE7AuyLybrn5D4jIMhH5UESOCubdLSK3BLd7isjbwTJLRKSHiLQWkXeC+x+LyHm12H5r4ETgSuDicvPLrjgI7k8SkTHB7TNF5BMRWQJcUG6ZMcFyxwPnAuODKzB6NOQYZfbrx7p1n7Jp40YKCwt5+aUXGTzk3GaT96GD67wPHcKe96GD67wPHVznfejgOu9DB9f5qgw+5xxeeP5ZAP7x/LMMOafqXyNc74PrvA8dXOd96BD2fLTWYZoeuzLBVOZgEVla7v6DqjpRRG4CBqnq9mD+ocCHqvpbEXkYuBq4v8K6XgAeUtXXROQgIiewCoHzVfV7ETkS+FBEpqhqdR84fR4wXVXXisjXIpKhqtlVLRxs62ngFGAd8FLFZVR1gYhMAaap6iuVrGMcMA6gS9eu1VSLiImJ4dEJkzhn8BkUFxczesxYEhITa8w1lbwPHVznfegQ9rwPHVznfejgOu9DB9d5Hzq4zgOMvvQS5s6dw9fbt9Ozexduv/Nubr71Ni67ZATPTv4bXbsewz/+9W9v98F13ocOrvM+dAh7PlrrME2PVP/6zTRHIpKnqq0rmb8JyCw9mSAie4CDVFVFZARwuqpeJSJ3A3nAX4DVqtq5wnoOAB4FTgZKgN5Ad1X9opptTwMmqOqs4CqJrqp6i4gMBG5R1SHBcpOALGApMFFVTw7mnwuMU9UhwZULmap6nYhMpoqTCeVlZGTq/IVZNR47Y4wxxtROQ38HtbESjPHDCQMyyc7OCtUXZFxCit77/Juua9TKZZldslU103WPytiVCaYhispdTVBM7Z9Po4D2QIaqFgUnKQ6qamERaUfkCoNkEVGgJaAiciuwl33frlPleowxxhhjjDEG/P/YxTCwMRNMXewE2tR2YVXdCeSIyFAAETkw+DSIw4GvghMJg4BjaljVcOB5VT1GVbupahdgI3AS8BmQEKy7LXBqkPkE6FZuHISR0dgnY4wxxhhjjDF2MsFU7uAKHw35UDD/KWB6+QEYa+Ey4AYRWQ4sAI4mMo5Cpoh8DFxO5IV/dUYCr1WY9yowUlU3A/8GVgT//whAVXcTGe/gv8EAjF9Vse4XgVtF5KOGDsBojDHGGGOMMc2FjZlgTC3YmAnGGGNMdNmYCcY0DWEdM+H+f4RjzIRRGf6OmWBXJhhjjDHGGGOMMaZO7GSCMcYYY4wxxhhj6sQ+zcEYY4wxppHZJf4N34e83Xsb3KH1QfarsDHQsO9J4XzTvDSJ76Ou2ZUJxkTRzBnTSUnsTWJ8T8Y//FDNgSaW96GD67wPHRqS37x5M2ecNoi+KQmkpyYyaeKERt1+tNYR9rwPHa65aixdO3UgIy2pztlobD8a6wj718Lu3bs56fgBDMhIIyM1ifvuuavROzQ0v2PHDkaOGE5qUjxpyX348IMPGnX7AE9OeowT+6VyUv80xl1xKbt370ZVeeCeO0hOOJa05D786fGJ+62D67wPHVznG7oOH74fuM5fc/VYjok9isy05B889uWXXyIiKiJH1nnFJtxU1SabbKphSk/P0IIirXbK271Xu8fF6ao16/W7XXs0OTlFlyxbWWOuqeR96OA670OHhuY3fL5FFyzM1oIi1a+++V579uplx7AZPo8KilRnzX5PFyzM1oTExDrlmsox2N9fC/mFJTVOu/YU61fffK/5hSX63a49mtmvv86Zt0DzC0tCcQwLilRHXXq5PvHk01pQpPrdrj26ddu3Udv+tp1FNU7L12zSrsd008+/+l637SzSc88frhP//IxOeOJpvWjkKN21p1gLilQ/y/3Sy2PYFL6WXOejsQ7XPxsbI1/T96OZ78zR+QuzNCEhcZ/5a9d/pm3aHKZEPq79SNe/s9d26t4nRf+5JCcUE5Dl+nhVNdmVCcZEyeJFi+jRoyfd4+Jo1aoVF464mGlT32g2eR86uM770KGh+Y4dO9I3PR2ANm3aEB/fhy1bchtt+9FYR9jzvnQ48aSTadeuXZ0y0dy+62Pgw9eCiNC6dWsAioqKKCoqgjpcluv6GH733Xe8//5cxoy9EoBWrVrRtm3bRtt+qb1797K7oIC9e/dSkJ/P0R07Mfmvf+HmX99OixaRX4U7dOiwXzq4zvvQwXU+Gutw/f3AdR6CnwlH/PBnwq9uuYlOsbEQ1nc7mAaxkwnGRMmWLbl07tyl7H5sbGdyc2v/gybseR86uM770CEa+1Dqs02bWLr0I/r1H9Co23d9DFznfenQEE3tGLj6WgAoLi5mQGZfjok9ilNPPY3+jdihoflNGzdy5JHtGXflFfw4sy8/G3cVu3btarTtA3TsFMv/u+FG0hLiSOrZhcMOP4xBp57Opg0beP0/L3PCgEzOG3IW6z79dL90cJ33oYPrfLTWUcrF9wPX+apMnfIGnWI7ccghhzR4XY1NiLwQDsPkM9/7OSMiR4vIiyKyXkSyReRNETl2P25voIhMC26fKyK37a9t1ZeIdBKRV4LbaSJydrnH7haRW2qxjk0i8rGILBeRmSJydB22301ELqlf+2rXO0dEvPzsVmNcycvLY+RFwxj/h8c47LDDXNcxxhnXXwstW7ZkYdZHfLpxM1lZi1m5YkWjd6ivvXv3svSjJVx9zc/4MOsjDjn0UB6p5/vd62vHt98y/b9Tyf74Uz7+9HPyd+Xz8osvsKdwDwcdeBDzF2ZxxZVXc83VYxu1lwkn198PfJKfn8/43z/IHXfd67qKcchOJlRCIkN7vgbMUdUeqpoB/B9wVGNsX1WnqGrj/rStBVXdoqrDg7tpwNnVLF6dQaqaAmQBvyn/gERU9bzsBkT9ZEK0dOoUS07O5rL7ubk5xEYu+2oWeR86uM770CEa+1BUVMTIi4YxYuQohp5/QZ2ydgybxjFoqKZyDFx/LZTXtm1bTv7JQGbNnN5oHRqaj+3cmdjOnek/IPIX3POHDWfpR0sabfsA7815h67HdOPI9u054IADGHzuUBYv/IBOnToz+NyhAJw39HxWfLx8v3Rwnfehg+t8tNbh8vuB63xlNqxfz2ebNjIgM42VKz4G6AwsqcsfCk342cmEyg0CilT1ydIZqrpMVecFL3bHi8iK4C/sI6DsyoL3ROQNEdkgIg+JyCgRWRQs1yNYbrKIPCkiWSKyVkSGVNy4iIwRkUnB7XNEZKGIfCQib4vIUcH8u0Xkb8Ff1TeIyA3l8pcHf/lfJiLPB/Pai8irIrI4mE6oZLv/FZGU4PZHInJncPteEbk6uDJghYi0Au4FRojI0tJjACRU1qcac4GewXrXiMhzwAqgS2XHGHgIOCnY5o0icpCI/D1Y5iMRGRT0bSkijwT55SJyfTD/1GC5j4Njd2AtOtZaZr9+rFv3KZs2bqSwsJCXX3qRwUPObTZ5Hzq4zvvQoaF5VeXaq6+kd3wffnHjTbXORWv70VhH2PO+dGiIpnAMfPha2LZtGzt27ACgoKCA2e+8zbG94xutQ0PzRx99NJ07d2HtmjUAzJn9DvF9Ehpt+wCdO3che/Ei8vPzUVXmzplNr97xnDXkXN6fOweAeXPfo2evyi8+dX0Mm8LXkut8NNbh+vuB63xlkpKT+Sz3Sz75dCOJSckAOUC6qn7RoBU3IhEJxeQz+3DdyiUB2VU8dgGRv8qnAkcCi0VkbvBYKtAH+AbYADyjqv1F5BfA9cAvg+W6Af2BHsC7ItKzmi7vAz9WVRWRq4BfATcHj8UTOfHRBlgjIn8GjgVuB45X1e0iUjpSygTgUVV9X0S6AjOCruXNI/Ji/TNgL1B6wuEk4NrShVS1MDjRkKmq10Hk5EZlfVS1qJp9GwJ8HNzuBYxW1Q9FZBiVH+PbgFtUdUiwzZsjdTRZROKBmRJ5K8oVRI5xmqruFZF2InIQMBk4VVXXBicufgY8Vk2/OomJieHRCZM4Z/AZFBcXM3rMWBISE5tN3ocOrvM+dGhofsH8+fzzhedJSkpmQEYaAPfc/zvOPKt2FyLZMWwaxwDg8ktHMu+9OWzfvp0e3Tpzx533lA2k1xjbd30MfPha+GLrVq6+cgwlxcWUlJRwwfALOXvwD/4Gsd86RGMf/vjY41xx+SgKCwvpFhfHU8/8vVG3n9FvAOcMvYBTT+xPTEwMyampXH7F1ewuKODaKy/n6Scmcmjr1vz5L8/slw6u8z50cJ2Pxjpcfz9wnQcYfeklzJ07h6+3b6dn9y7cfufdjLmidj8TTNMlqjbwZkXBX9W7q+qNlTz2KPCxqv4tuP888DLwPfBbVT09mD8X+D9VnS8ipwA3qOpQEZkMzC2XnwvcALQleKEsImMIXqiLSDLwB6Aj0ArYqKpnBi/ei1T1gWA9q4HTgfOBo1X1txV6fwVsKTerPdBbVfPKLXNC0OVZIic7Tg+mVaraTUS6AdNUNal8xyBbaR9VzanQYxOwEygGlpfb93dVtXstjnH5kwmvAY+r6uzg/jzg58BdwJOqOqvcdlODZU8O7p8K/FxVLxCROcF6syp0HQeMA+jStWvG2vWfYYwxxkRDQ3//8v2vVY0hb/feBq+j9UH2dzVjoGHfk074cT+WZGeF6ptSj4RUffCfb7muUSsj+sZmq6qX47vZd9DKrQSG17jUD+0pd7uk3P0S9j3WFb9aq/vqfRz4o6pOEZGBwN1VbK+Y6v89WxC5wmF3NcssBjKJXFUxi8hVAVdT9VUaFdW2zyBV3V56R0TaArUf3rmRqOpTwFMAGRmZdtbNGGOMMcYYYwI2ZkLlZgMHBn+ZBkBEUkTkJCJvBRgRvC+/PXAysKiO679QRFpIZByFOGBNNcseDpR+dsvoWna/UER+FPQufZvDTCJvtSCYn1YxqKqFwGbgQuADIvt6C5GxDSraSeTtDPtDVce44jbnAaMAgrc3dCVyLGcB14hITPBYu2B+t3JvKbkMeG8/9TfGGGOMMcZ4TEIy+cxOJlRCI9f5nA+cJpGPhlwJPAh8QeRTHpYDy4i8cP9VPQYa+ZzIi+O3gGtruFrgbuBlEckGtlezXGn3lcADwHsisgz4Y/DQDUBmMCDhKsqNgVDBPOArVS0IbncO/l/Ru0QGXCw/AGO0VHWMlwPFEhlY8kbgCaCFiHwMvASMUdU9wDNEjvHy4BhcEhzjK4gcy4+JXC3yZMUNG2OMMcYYY4ypmY2Z0MiCMROmqeorrruY2svIyNT5C7NqXtAYY4ypBRszoeFszARjoqc5jpnwUEjGTLjIxkwwxhhjjDHGGGM8IHZSNhrsZEIjU9UxrjsYY4wxxhhjjDENYWMmGGOMMcYYY4wxpk7sZIIxUTRzxnRSEnuTGN+T8Q8/1OzyPnRwnXfdYffu3Zx4XH/6p6eSnprIfffc1ajbj0behw7XXDWWrp06kJGWVOdsNLYfjXWEPe9Dh/2ZF5FaTbNmziA1KZ6kPr14ZPzvy+b7sA+u860PiqnVtOC9tzk+I5EBafH8eeIj+zy2a8/eaqelH6+kX3pq2dS+3WH84Y9/4Pbf/paMtGQGZKQx5KyfsmXLFm+P4ebNmznjtEH0TUkgPTWRSRMnNGoe7HtqU8hfc/VYjok9isy05LJ5v7ntVtKS+rB61SpE5LXg495DQYi8EA7D5DVVtckmm2qY0tMztKBIq53ydu/V7nFxumrNev1u1x5NTk7RJctW1phrKnkfOrjO+9Ahv7BEt327UwuKVL/PL9TMfv11zrwPQtPflw6zZr+nCxZma0JiYp1yTeUYuM770MF13ocOYc/XZh3b84pqPX353W7t0OEo/WjVOt245WvdnlekBUWqj/xxgl519TXeHoMNn2/RBQuztaBI9atvvteevXrVaR0NzRcU2ffUMOTzC0uqnWa+M0fnL8zShITEsnlT/jtdv88v1L7pGQr8Hvi969/Zazv1SEjRV5duCcUEZLk+XlVN3p/sMCYsFi9aRI8ePekeF0erVq24cMTFTJv6RrPJ+9DBdd6HDiJC69atASgqKmJvUVGd/orpur8vHU486WTatWtXp0w0t+/6GLjO+9DBdd6HDmHPR2sdpebOmU23uDi6dD2GNocdVjY/P39Xld9nfTgGHTt2pG96OgBt2rQhPr4PW7bkNloe7Htq2PMQ/Bsese+/4Wmn/5SYmLIh+D4k8pHyphmxkwnGRMmWLbl07tyl7H5sbGdyc2v/wzbseR86uM770qG4uJgBGWl07dSBU047nf4DBjTa9pvKMWyIpnAMXOd96OA670OHsOejtY5Sr73yEhcMH1F2/4G776Bn9y68+K8XuOPue/fL9qP9/eyzTZtYuvQj+vWv/c+FaObrw4fnQXPP19JYIByftWiixk4meExEhoqIikh8NcvMEZEffO6oiIwRkUnB7WtF5PJq1tFNRC4pdz9TRCZGof9AEflORJaKyHIReVtEOtSQKesdhe2/Gab3bhkTLS1btmRh9lLWbcoha/EiVq5Y4bqSMcaEWmFhIdP/O41zzx9eNu+3d9/Huo2buXjkKJ58Iiq/uuxXeXl5jLxoGOP/8BiHlbuyorHypun6YutWgL3AC46r1Eltx65xPfnMTib4bSTwfvD/elPVJ1X1uWoW6QaUnUxQ1SxVvaEh2yxnnqqmqWoKsBj4eZTWWyNVPVtVd9RmWYlo0NdDp06x5ORsLrufm5tDbGxss8n70MF13pcOpdq2bctPBg5i5szpjbb9pnYM66MpHAPXeR86uM770CHs+WitA+DtmdNJSetLh6OO+sFjI0aO4vXXXt0v249W/6KiIkZeNIwRI0cx9PwLGj3fED48D5p7vjrPPzeZ777/DmCUqmpUVmpCw04meEpEWgMnAlcCF5ebf7CIvCgiq0XkNeDgco9dISJrRWQRcEK5+XeLyC3B7Z7BFQLLRGSJiPQAHgJOCq4guDG4omCaiLQQkU3l/7ovIp+KyFEi0l5EXhWRxcFUtr0q9keANsC3wf1DReRvIrJIRD4SkfPKLd5JRKYH23q43Dr+LCJZIrJSRO4J5p0pIi+XW2agiEwLbm8SkSOD2zeJyIpg+mUwr5uIrBGR54AVQBcaILNfP9at+5RNGzdSWFjIyy+9yOAh5zabvA8dXOd96LBt2zZ27NgBQEFBAe+8PYvevau8uMm7/r50aIimcAxc533o4DrvQ4ew56O1DoD/vPwSF1z4v7c4rF/3adntaVPe4Ngqvs/6cAxUlWuvvpLe8X34xY031SkbjXxD+fA8aO75qsycMZ1HHxlPXFwPVDW/wSs0oRNT8yLGkfOA6aq6VkS+FpEMVc0Gfgbkq2ofEUkBlgCISEfgHiAD+A54F/iokvW+ADykqq+JyEFETijdBtyiqkOCdQ0EUNUSEXkDOB/4u4gMAD5T1S9F5J/Ao6r6voh0BWYAfSrZ3kkishT4EbAL+E0w/7fAbFUdG5ysWCQibwePpQF9gT3AGhF5XFU3A79V1W9EpCXwTrD/bwNPicihqroLGAG8WL6AiGQAVwADiHwSzEIReY/IiY1ewGhV/bDKf4laiomJ4dEJkzhn8BkUFxczesxYEhITm03ehw6u8z50+GLrVq4eO5ri4mJKtIRhwy/i7MFDQtPflw6XXzqSee/NYfv27fTo1pk77ryHMWOvbLTtuz4GrvM+dHCd96FD2PPRWseuXbt47923+ePEJ8rm3Xfnb1n36VpiWrag6zHHMPFPT+6X7Uej/4L58/nnC8+TlBT5KEuAe+7/HWeedXaj5MG+p4Y9DzD60kuYO3cOX2/fTs/uXbj9zrt55OGH2LNnD998/TXB7/sfquq1dVqxQ36/gSAcxK5G8VPw1/UJqjpLRG4AuqrqLSLyOjBRVWcHyy0BxhEZPfUCVb08mH8DcKyqXicidwN5wF+A1araucK2BvLDkwm3qOoQETkeuFNVzxSRR4FVqvq0iHwFlP9Q5fZAb1XNq2a9vwa6q+q1IpIFHETk/VUA7YAziLzgP0FVrw4ybwEPBCctrg32NQboCFyvqi+KyFPAbOAVYAOQqKo7RWQTkAmMAn6kqncG67wP2AZMAd5V1e5V/BuMC7ZHl65dM9au/6yyxYwxxhgTUrv27K15oWoceqD9Xc40DQ15TXjCj/uxJDsrVK/Neyam6iP/muG6Rq2cn9oxW1V/MEaeD+w7oIdEpB1wCpAsIgq0BFREbnVQ5wOgp4i0B4YC9wfzWwA/VtXddVjXFKD0TYUCDFPVNeUXCK5+2FNuVjEQIyLdgVuAfqr6rYhMJnIyAiJXIlwHfEPkc1h31qHTrqoeUNWngKcAMjIy7aybMcYYY4wxxgRszAQ/DQeeV9VjVLWbqnYBNgInAXMJBksUkSQgJcgsBH4iIj8SkQOACyuuNHiRnSMiQ4P8gSJyCLCTyHgGPxAMpPIa8EciVzV8HTw0E7i+dDkRSavFfp0IrA9uzwCuD8ZSQET61pA9jMgL/+9E5CjgrHKPvQekA1dT4S0OgXnAUBE5REQOJfK2jXm16GuMMcYYY4wxphJ2ZYKfRgK/rzDv1WD+TUTGL1gNrAayAVR1a/B2hg+AHcDSKtZ9GfAXEbkXKCJy0mE5UCwiy4DJ/HCshZeIfBLDmHLzbgD+JCLLiTyP5gKVvUeqdMwEITKWw1XB/PuAx4DlwacobASqfGO3qi4TkY+AT4DNwPxyjxUHbwsZA4yuJLskuJJhUTDrGVX9SES6VbU9Y4wxxhhjTNPl+acuhoKNmWBMLWRkZOr8hVmuaxhjjDEmimzMBGMimuOYCX94MRxjJgxN8XfMBHubgzHGGGOMMcYYY+rETqcaY4wxxhhjjGk2BGhhHw7ZYHZlgjHGGGOMMcYYY+rErkwwxhhjjDHNUkPHPGjo2GNiI8AZTzTkuWjP4ubLrkwwJopmzphOSmJvEuN7Mv7hh5pd3ocOrvM+dAh73ocOrvM+dHCd96GD67wPHcKe96HD4xMeJSM1icy0ZEZfegm7d+9u1O1HYx1hz/vQIez5aK3DJyLhmLymqjbZZFMNU3p6hhYUabVT3u692j0uTletWa/f7dqjyckpumTZyhpzTSXvQwfXeR86hD3vQwfXeR86uM770MF13ocOYc83Rof8wpJqp083btZjunXTr7/bpfmFJXrBsAv1L8/8rezxpnAMfM/70CHs+ZrWkZ6eoa5/V6/r1DMhRad+/EUoJiDL9fGqarIrE4yJksWLFtGjR0+6x8XRqlUrLhxxMdOmvtFs8j50cJ33oUPY8z50cJ33oYPrvA8dXOd96BD2vC8d9u7dS0FBAXv37iW/IJ+OHTs16vZdHwPXeR86hD0frXWYpsdOJhgTJVu25NK5c5ey+7GxncnNzW02eR86uM770CHseR86uM770MF13ocOrvM+dAh73ocOsbGx/PLGm+nd4xjiunbi8MMO57TTf9po24/GOsKe96FD2PPRWodpeuxkgmkUIlIsIktFZJmILBGR4+uYv1tEbglujxGRTuUee0ZEEqLd2RhjjDGmIb799lumTZ3CqrUbWP9ZLrt27eJfL/zDdS1jDBKa/3xmJxNMYylQ1TRVTQX+D3iwAesaA5SdTFDVq1R1VQP7NVinTrHk5Gwuu5+bm0NsbGyzyfvQwXXehw5hz/vQwXXehw6u8z50cJ33oUPY8z50ePedtzmmWzfat2/PAQccwHlDz+fDDxc02vajsY6w533oEPZ8tNZhmh47mWBcOAz4tvSOiNwqIotFZLmI3FNu/m9FZK2IvA/0DuYNBzKBF4IrHQ4WkTkikhk8nici40VkpYi8LSL9g8c3iMi5wTItg2VKt3lNNHYqs18/1q37lE0bN1JYWMjLL73I4CHnNpu8Dx1c533oEPa8Dx1c533o4DrvQwfXeR86hD3vQ4fOXbuyeOFC8vPzUVXmvDub+Pg+jbb9aKwj7HkfOoQ9H611mKanYR+ua0ztHSwiS4GDgI7AKQAi8lOgF9CfyMfUThGRk4FdwMVAGpHn6RIgW1VfEZHrgFtUNStYR/ntHArMVtVbReQ14H7gdCABeBaYAlwJfKeq/UTkQGC+iMxU1Y3lVyQi44BxAF26dq1xB2NiYnh0wiTOGXwGxcXFjB4zloTExFofoLDnfejgOu9Dh7DnfejgOu9DB9d5Hzq4zvvQIex5Hzr07z+AoRcM4/j+GcTExJCa1pexV41rtO1HYx1hz/vQIez5aK3DN95/7GIIiKq67mCaARHJU9XWwe3jgGeAJGA8MBzYESzamshbINoA7VT1ziDzR2CLqj4iInPY92RC2X0R2QMcpKoqIvcCe1T1ARFpAXyjqm1F5BUgBcgPtnk4cI2qzqyqf0ZGps5fmBWtw2GMMcaYJqChv0eLvZoxTcAJAzLJzs4K1ZO5V2KaTvh3lb/6e2Vw0lHZqprpukdl7MoE0+hU9QMRORJoT+RqhAdV9S/llxGRX9Zz9UX6v5/sJcCeYJslIlL6fBfgelWdUc9tGGOMMcYYY0yzZmMmmEYnIvFAS+BrYAYwVkRKr1qIFZEOwFxgaDAmQhvgnHKr2EnkyoX6mgH8TEQOCLZ5rIgc2oD1GWOMMcYYY0yzYlcmmMZSOmYCRK4MGK2qxcBMEekDfBBc6pcHXKqqS0TkJWAZ8BWwuNy6JgNPikgBcFw9ujwDdAOWSGSj24Ch9ViPMcYYY4wxJmQEaOH5xy6GgZ1MMI1CVVtW89gEYEIl8x8AHqhk/qvAq+VmDSz3WOtyt++ukGsd/L8E+E0wGWOMMcYYY4ypI3ubgzHGGGOMMcYYY+rErkwwxhhjjDHGGNN8iH00ZDTYyQRjjDHGGGPqwT7a0RjTnNnbHIyJopkzppOS2JvE+J6Mf/ihZpf3oYPrvA8dwp73oYPrvA8dXOd96OA670OHsOd96NCQ/O7duznxuP70T08lPTWR++65q87bb2iHppD3oUPY89Fah2liVNUmm2yqYUpPz9CCIq12ytu9V7vHxemqNev1u117NDk5RZcsW1ljrqnkfejgOu9Dh7DnfejgOu9DB9d5Hzq4zvvQIex5Hzo0NJ9fWKLbvt2pBUWq3+cXama//jpn3gfN6hjY88B9vqZ1pKdnqOvf1es69UpM1RmrvgrFBGS5Pl5VTXZlgjFRsnjRInr06En3uDhatWrFhSMuZtrUN5pN3ocOrvM+dAh73ocOrvM+dHCd96GD67wPHcKe96FDQ/MiQuvWkQ+qKioqYm9RUZ3fWuF6H1znfegQ9ny01mGaHjuZYEyUbNmSS+fOXcrux8Z2Jjc3t9nkfejgOu9Dh7DnfejgOu9DB9d5Hzq4zvvQIex5HzpEYx+Ki4sZkJFG104dOOW00+k/YECd8q73wXXehw5hz0drHabpsZMJplGISLGILC033bYft3WviJy2v9ZvjDHGGNNYWrZsycLspazblEPW4kWsXLHCdSVjjAHs0xxM4ylQ1bRorUwi1/iJqpZUfExV74zWduqiU6dYcnI2l93Pzc0hNja22eR96OA670OHsOd96OA670MH13kfOrjO+9Ah7HkfOkRjH0q1bduWnwwcxMyZ00lMSmq0DmHP+9Ah7PlorcM3gn0aS0PZlQnGGRE5XETWiEjv4P6/ROTq4PatIrJYRJaLyD3BvG7B8s8BK4AuIvJrEflYRJaJyEPBcpNFZHhw+yERWRWs55FgXnsReTVY/2IROSEa+5PZrx/r1n3Kpo0bKSws5OWXXmTwkHObTd6HDq7zPnQIe96HDq7zPnRwnfehg+u8Dx3CnvehQ0Pz27ZtY8eOHQAUFBTwztuz6N07vtZ5H/bBdd6HDmHPR2sdpumxKxNMYzlYRJaWu/+gqr4kItcBk0VkAnCEqj4tIj8FegH9AQGmiMjJwOfB/NGq+qGInAWcBwxQ1XwRaVd+gyLyI+B8IF5VVUTaBg9NAB5V1fdFpCswA+hTsbCIjAPGAXTp2rXGHYyJieHRCZM4Z/AZFBcXM3rMWBISE2t7fEKf96GD67wPHcKe96GD67wPHVznfejgOu9Dh7DnfejQ0PwXW7dy9djRFBcXU6IlDBt+EWcPHlLrvA/74DrvQ4ew56O1DtP0iKq67mCaARHJU9XWVTz2FDAMSFXVnOAKguHAjmCR1sCDwDvAu6raPcj9AfhEVZ+usL7JwDTgdSA7mKYB01S1UES+AraUi7QHeqtqXlX9MzIydf7CrDrtszHGGGOMMU3dCQMyyc7OCtV7BnonpekTr7ztukatnNanfbaqZta0nIi0BLKAXFUdIiLdgReBHxF5PXRZ8FroQOA5IAP4Ghihqpvq083e5mCcEpEWRK4KyAeOKJ1N5MqFtGDqqap/DR7bVdt1q+peIlc3vAIMAaYHD7UAflxu/bHVnUgwxhhjjDHGGM/9Alhd7v7viVyN3RP4FrgymH8l8G0w/9FguXqxkwnGtRuJPOkvAf4uIgcQedvBWBFpDSAisSLSoZLsLOAKETkkWK7i2xxaA4er6pvBdlKDh2YC15dbLi2qe2SMMcYYY4wxjUREOgODgWeC+wKcQuSPqgDPAkOD2+cF9wkePzVYvs5szATTWCqOmTAd+DtwFdBfVXeKyFzgdlW9S0T6AB8Ez+s84FKguPwKVXV6cCIgS0QKgTeB35RbpA3whogcRORqh5uC+TcAfxKR5US+BuYC10ZzZ40xxhhjjDGmkTwG/IrI6x+IvLVhR3ClNkAOUPrxG7HAZohcyS0i3wXLb6/rRu1kgmkUqtqyiof6lFvmpnK3JxAZKLGifT4LSVUfAh6qMG9Mubv9K+myHRhRY2ljjDHGGGNMkxSij4Y8UkTKD972lKo+VXpHRIYAX6lqtogMbMxidjLBGGOMMcYYY4zx0/YaBmA8AThXRM4GDgIOI/JH2bYiEhNcndAZyA2WzwW6ADkiEgMcTmQgxjqzMROMMcYYY4wxxpgQUtX/U9XOqtoNuBiYraqjgHeJfEIewGjgjeD2lOA+weOztZ4f8WhXJhhjjDHGGBNC0fiI93qOu2ZM6DWDp/6vgRdF5H7gI6D00/H+CjwvIuuAb4icgKgXuzLBmCiaOWM6KYm9SYzvyfiHH6o50MTyrjts3ryZM04bRN+UBNJTE5k0sbJhN/bf9qO1juae96GD67wPHVznfejgOu9Dh7DnfejgOn/N1WM5JvYoMtOSy+Z98803DDnrpyQnHMvgM0/n22+/9Xof7HngPr97925OPK4//dNTSU9N5L577qrzOsz+p6pzVHVIcHuDqvZX1Z6qeqGq7gnm7w7u9wwe39CQDdpkk001TOnpGVpQpNVOebv3ave4OF21Zr1+t2uPJien6JJlK2vMNZW8Dx02fL5FFyzM1oIi1a+++V579urV7I5B2PM+dHCd96GD67wPHVznfegQ9rwPHfZ3Pr+wpMZp5jtzdP7CLE1ISCybd+NNt+i99/9O8wtL9N4HHtSbbvlVaI9BGDqEPV/6XNv27U4tKFL9Pr9QM/v11znzPtCCItX09Ax1/bt6XadjE1N19ifbQzEBWa6PV1WTXZlgTJQsXrSIHj160j0ujlatWnHhiIuZNvWNmoNNJO9Dh44dO9I3PR2ANm3aEB/fhy1bcmtIRW/70VhHc8/70MF13ocOrvM+dHCd96FD2PM+dHCdBzjxpJNpd0S7feZNmzqFUZdF3jJ96WWjmTrldW/3wZ4H7vMQeTtM69atASgqKmJvUVHo3yIjIfnPZ3YywZgo2bIll86du5Tdj43tTG5u7V/Ihj3vS4dSn23axNKlH9Gv/4BG3b7rYxD2vA8dXOd96OA670MH13kfOoQ970MH1/mqfPXVl3Ts2BGAo48+mq++/HK/dXCd96FD2POliouLGZCRRtdOHTjltNPpP6D2v2OZpslOJpjQEpFiEVkqIitFZJmI3CwiLYLHMkVkYg35tOAjVEwTk5eXx8iLhjH+D49x2GGHua5jjDHGeEtEQv8XZtM4WrZsycLspazblEPW4kWsXLHCdSXjmJ1MMGFWoKppqpoInA6cBdwFoKpZqnpDDfk0IGonEzp1iiUnZ3PZ/dzcHGJjY5tN3pcORUVFjLxoGCNGjmLo+RfUKdsUjkHY8z50cJ33oYPrvA8dXOd96BD2vA8dXOer0qHDUWzduhWArVu30r5Dh/3WwXXehw5hz1fUtm1bfjJwEDNnTq/3OkzTYCcTTJOgql8B44DrJGKgiEwDEJFDReRvIrJIRD4SkfNEpBVwLzAiuLphREM7ZPbrx7p1n7Jp40YKCwt5+aUXGTzk3GaT96GDqnLt1VfSO74Pv7jxpjp1j8b2o7GO5p73oYPrvA8dXOd96OA670OHsOd96OA6X5XB55zDC88/C8A/nn+WIeec5+0+2PPAfR5g27Zt7NixA4CCggLeeXsWvXvH12kdPhGghYRj8lmM6wLGRIuqbhCRlkDF0+u/BWar6lgRaQssAt4G7gQyVfW6aGw/JiaGRydM4pzBZ1BcXMzoMWNJSExsNnkfOiyYP59/vvA8SUnJDMhIA+Ce+3/HmWfV7gKUpnAMwp73oYPrvA8dXOd96OA670OHsOd96OA6DzD60kuYO3cOX2/fTs/uXbj9zru5+dbbuOySETw7+W907XoM//jXv73dB3seuM8DfLF1K1ePHU1xcTElWsKw4Rdx9uAhdVqHaXpEVV13MKZeRCRPVVtXmLcD6A30AW5R1SEikgUcBOwNFmsHnAEMoJqTCSIyjsjVDnTp2jVj7frP9st+GGOMMcbURzR+j7fxEkxDnTAgk+zsrFA9keKT0vSp/8x2XaNWftL7R9mqmum6R2XsygTTZIhIHFAMfEXkZELZQ8AwVV1TYflqh6BV1aeApwAyMjLtrJsxxhhjjDFNgv8fuxgGNmaCaRJEpD3wJDBJf3iafgZwvQSn3kWkbzB/J9Cm8VoaY4wxxhhjTNNgJxNMmB1c+tGQRMZAmAncU8ly9wEHAMuDZe8L5r8LJERrAEZjjDHGGGOMaS7sbQ4mtFS1ZTWPzQHmBLcLgGsqWeYboN9+qmeMMcYYY4zxkYANF9JwdmWCMcYYY4wxxhhj6sROJhhjjDHGGGOMMaZO7GSCMcYYY4wxxhhj6sROJhgTRTNnTCclsTeJ8T0Z//BDzS7vQwfXeR86hD3vQwfXeR86uM770MF13ocOYc/70GF/5kWkxunaq6/kmNijyOybXOnjNdm8eTNnnDaIvikJpKcmMmnihKjuQ2PkfegQ9vzu3bs58bj+9E9PJT01kfvuuavO6/CNhGTymqraZJNNNUzp6RlaUKTVTnm792r3uDhdtWa9frdrjyYnp+iSZStrzDWVvA8dXOd96BD2vA8dXOd96OA670MH13kfOoQ970MH1/mCItVZs9/TBQuzNSExsU650mnD51t0wcJsLShS/eqb77Vnr16hOwauO4Q9X1Ckml9Yotu+3akFRarf5xdqZr/+OmfeB1pQpJqenqGuf1ev69Q7KU3fX/tNKCYgy/XxqmqyKxOMiZLFixbRo0dPusfF0apVKy4ccTHTpr7RbPI+dHCd96FD2PM+dHCd96GD67wPHVznfegQ9rwPHVznAU486WTatWtXp0x5HTt2pG96OgBt2rQhPr4PW7bk1jrvwzFw3SHseYhcBdO6dWsAioqK2FtUVKsrW0zTZicTjImSLVty6dy5S9n92NjO5ObW/odt2PM+dHCd96FD2PM+dHCd96GD67wPHVznfegQ9rwPHVzno+2zTZtYuvQj+vUfUOuMD8fAdYew50sVFxczICONrp06cMppp9N/QO2fB74RoIVIKCaf2cmEEBGRoSKiIhJfbl43EVlRz/VtEpEj67D8GBGZVMVjZ4lIloisEpGPROQP9elkjDHGGGP8k5eXx8iLhjH+D49x2GGHua5jHGjZsiULs5eyblMOWYsXsXJFvV6CmCbETiaEy0jg/eD/3hCRJGAScKmqJgCZwDq3repORFo2JN+pUyw5OZvL7ufm5hAbG9ts8j50cJ33oUPY8z50cJ33oYPrvA8dXOd96BD2vA8dXOejpaioiJEXDWPEyFEMPf+COmV9OAauO4Q9X1Hbtm35ycBBzJw5vd7rME2DnUwICRFpDZwIXAlcXMUyLUXkERFZISLLReT6YP6pwdUCH4vI30TkwHKx60VkSfBYfLB8OxF5PVjHhyKSUkO9XwEPqOonAKparKp/DtbVTURmB+t6R0S6BvMni8hEEVkgIhtEZHgwv6OIzBWRpcF+nBTMzyu3n8NFZHK59fw56LlBRAYG+7i6dJlguZ+KyAfBvr4cHM/SqzN+LyJLgAtr9Y9Rhcx+/Vi37lM2bdxIYWEhL7/0IoOHnNts8j50cJ33oUPY8z50cJ33oYPrvA8dXOd96BD2vA8dXOejQVW59uor6R3fh1/ceFOd8z4cA9cdwp4H2LZtGzt27ACgoKCAd96eRe/e8dWHTJMX47qAqbXzgOmqulZEvhaRDFXNrrDMOKAbkKaqe4OTAgcBk4FTg+xzwM+Ax4LMdlVNF5H/B9wCXAXcA3ykqkNF5BTgOSCtmm5JQFVva3gceFZVnxWRscBEYGjwWEciJ0jigSnAK8AlwAxVfSC4UuCQmg4McARwHHBusJ4Tgv1YLCJpQA5wO3Caqu4SkV8DNwH3BvmvVTW9FtupVkxMDI9OmMQ5g8+guLiY0WPGkpCY2GzyPnRwnfehQ9jzPnRwnfehg+u8Dx1c533oEPa8Dx1c5wEuv3Qk896bw/bt2+nRrTN33HkPY8ZeWev8gvnz+ecLz5OUlMyAjDQA7rn/d5x51tmNsg/2PHCfB/hi61auHjua4uJiSrSEYcMv4uzBQ+q0Dt/4PRpBOIiquu5gakFEpgETVHWWiNwAdFXVW0SkGzBNVZNE5FXgSVWdVS6XCjyuqicH908Ffq6qF4jIJuAEVc0VkQFEri44TUQ+Aoap6oYgsxlIBC4AMlX1ugrdlgBXqOqySnpvBzqqapGIHABsVdUjg6sGZqnqC8FyO1W1jYicDPwN+AfwuqouDR7PU9XSqwmGA0NUdUz59YhIHJETEb2C5Z4D/gPsJXJCJSeo1Qr4QFWvDI7BT1T1s0q6jyNygoYuXbtmrF3/g0WMMcYYY4xp1k4YkEl2dlaoXpv3Se6rf3/tXdc1auW4Xkdkq2qm6x6VsSsTQkBE2gGnAMkiokBLQEXk1iisfk/w/2Lq/3xYCWQAPziZUMttQ3ByUFXnBicUBgOTReSPqvocUP6s10FVrKekwjpLiOxTMZETDlWNNbGrspmq+hTwFEBGRqaddTPGGGOMMcaYgI2ZEA7DgedV9RhV7aaqXYCNwEkVlpsFXCMiMVB2EmIN0E1EegbLXAa8V8P25gGjgnUMJPJWiO+rWX488BsROTbItBCRa4PHFvC/MR5GBeuukogcA3ypqk8DzwClbz/4UkT6iEgL4Pwa+lf0IXBC6TEQkUNLuxpjjDHGGGOaIQnJ5DE7mRAOI4HXKsx7lR9+qsMzwOfAchFZBlyiqruBK4CXReRjIn+tf7KG7d0NZIjIcuAhYHR1C6vqcuCXwL9EZDWwAogLHr4euCJY12XAL2rY9kBgWfBWixHAhGD+bcA0Iicnttawjor9tgFjgn7LgQ+IjNNgjDHGGGOMMaYebMwEY2ohIyNT5y/Mcl3DGGOMMcYYr4R2zITXQzJmQk8bM8EYY4wxxhhjjPGC+P4eghCwtzkYY4wxxhhjjDGmTuxkgjHGGGOMMcYYY+rETiYYE0UzZ0wnJbE3ifE9Gf/wQ80u70MH13kfOoQ970MH13kfOrjO+9DBdd6HDmHP+9DBdX5/d1DVGqdJEx8jIzWJ9JREHp/w6D6PNUb/aKyjuec3b97MGacNom9KAumpiUyaOKHmkGn6avMNwCabmvuUnp6hBUVa7ZS3e692j4vTVWvW63e79mhycoouWbayxlxTyfvQwXXehw5hz/vQwXXehw6u8z50cJ33oUPY8z50cJ1vjA75hSXVTouXLNeEhETdviNPv88v1EGnnKofr1pb9nhTOAZNPV9QpLrh8y26YGG2FhSpfvXN99qzV6+ydaSnZ6jr39XrOsUnpenC9TtCMQFZro9XVZNdmWBMlCxetIgePXrSPS6OVq1aceGIi5k29Y1mk/ehg+u8Dx3Cnvehg+u8Dx1c533o4DrvQ4ew533o4DrvQ4c1n6wms39/DjnkEGJiYjjxpJN54/X/NNr2o7GO5p4H6NixI33T0wFo06YN8fF92LIlt07rME2PnUwwJkq2bMmlc+cuZfdjYzuTm1v7b7Jhz/vQwXXehw5hz/vQwXXehw6u8z50cJ33oUPY8z50cJ33oUNCYhIL3n+fr7/+mvz8fGZMf4ucnM2Ntv1orKO55yv6bNMmli79iH79B9R7HaZpsI+GbGZE5LfAJUAxUAJco6oLG2G7Y4BMVb1uf+VFZCBQqKoL6rjuTcG6t9enmzHGGGOMqVx8nz7cdOuvOOfsMzj00ENJSU2lZcuWrmuZesrLy2PkRcMY/4fHOOyww1zXaRD7YMiGsysTmhEROQ4YAqSragpwGlD7U8P7mYg09OTWQOD4KFSpl06dYvc5056bm0NsbGyzyfvQwXXehw5hz/vQwXXehw6u8z50cJ33oUPY8z50cJ33pcOYK65kwcIsZs1+j7Ztj6Bnr2Mbdfuuj0HY86WKiooYedEwRowcxdDzL6hz3jRBrgdtsKnxJuACYGoVj2UA7wHZwAygI3A4sAboHSzzL+Dq4HZeuexwYHJw+xxgIfAR8DZwVDB/DDCpku3eDTwPzA/W3x54FVgcTCdUzFe2DaAb8AWQCywFTqpmXT8CZgIrgWeAz4Ajqzt2tRmAcWdBkXbr3l1Xr91QNrhN9tIVtR7YJux5Hzq4zvvQIex5Hzq4zvvQwXXehw6u8z50CHvehw6u843RoaYBGPMLS3RTzheaX1iia9Zt0mOP7a1bvvqm1gMwhuEYNPV86b/zJaMu059f/4sfPBbWARgXrd8RigmPB2C0tzk0LzOBO0VkLZEX4S+p6nsicgDwOHCeqm4TkRHAA6o6VkSuAyaLyATgCFV9uoZtvA/8WFVVRK4CfgXcXEMmAThRVQtE5J/Ao6r6voh0JXJio09N21DVm0XkSSInOR4BqGZddwHvq+q9IjIYuLLGI1cLMTExPDphEucMPoPi4mJGjxlLQmJis8n70MF13ocOYc/70MF13ocOrvM+dHCd96FD2PM+dHCd96XDJSOG883XX3PAAQfw6MRJtG3btlG37/oYhD0PsGD+fP75wvMkJSUzICMNgHvu/x1nnnV2ndZjmhYJ/lJrmgkRaUnkr/aDgGuA24AsYAGwIVisJbBVVX8aZJ4ChgGpqpoTzMtT1dbB7eHAEFUdIyLJwB+IXNnQCtioqmdWNeaBiNwNqKreE9z/CthSbpH2QG8iVz9kqup11WzjbvY9mVDVut4HLlDVDcFy3wDHaoUxE0RkHDAOoEvXrhlr139Wu4NsjDHGGNNMNPS1hIi9cz3sThiQSXZ2Vqj+Ifsk99XnpsxxXaNW+se1zVbVTNc9KmNXJjQzqloMzAHmiMjHwGgib21YqarHVVxeRFoQ+Wt+PnAEkFO6qnKLHVTu9uPAH1V1SjAg4t21qLWr3O0WRK462F2hR/m7td1GbdZVJVV9CngKICMj0866GWOMMcYYY0zABmBsRkSkt4j0Kjcrjch4AWuA9sEAjYjIASJSeu3TjcBqIp8A8ffgLREAX4pIn+Bkw/nl1nk4kXELIHKioq5mAteX65xWyTJVbWMn0KYW65pLZH8QkbOInCQxxhhjjDHGGFNLdjKheWkNPCsiq0RkOZGxCu5W1UIibyP4vYgsIzKA4fEi0hu4CrhZVecReRF+e7Cu24BpRN4esbXcNu4GXhaRbKA+H7V4A5ApIstFZBVwbSXLVLWNqcD5IrJURE6qZl33ACeLyEoig1J+Xo+exhhjjDHGmBASQELyn89szARjaiEjI1PnL8xyXcMYY4wxxis2ZoIJ45gJCcl99bkp77muUSv94g73dswEuzLBGGOMMcYYY4wxdWIDMBpjjDHGGGOMaT4E7KKYhrMrE4wxxhhjjDHGGFMndmWCMcYYY4wxpl4aOuZBcUnDxlxo2cL+vGyMK3ZlgjFRNHPGdFISe5MY35PxDz/U7PI+dHCd96FD2PM+dHCd96GD67wPHVznfegQ9rwPHVznfejQ0PzPxo2lW+ej6Nc3uWzex8uXccrJx5OZlsywoefw/fffe70PYc9fc9VYunbqQEZaUp2zpglTVZtssqmGKT09QwuKtNopb/de7R4Xp6vWrNfvdu3R5OQUXbJsZY25ppL3oYPrvA8dwp73oYPrvA8dXOd96OA670OHsOd96OA670OHmvJ5e0pqnKa/PUff/zBL+yQkls1Lz8jUt2a9qwVFqk8+9Ve97Te3h/YY+J4vKFKdNfs9XbAwWxMSE3/wWHp6hrr+Xb2uU5/kNM3e+F0oJiDL9fGqarIrE4yJksWLFtGjR0+6x8XRqlUrLhxxMdOmvtFs8j50cJ33oUPY8z50cJ33oYPrvA8dXOd96BD2vA8dXOd96BCNfTjxpJM54oh2+8xb9+laTjzpZABOOe10Xn/tVW/3Iex5iPwbtGvXruYFTbNiJxOMiZItW3Lp3LlL2f3Y2M7k5uY2m7wPHVznfegQ9rwPHVznfejgOu9DB9d5HzqEPe9DB9d5HzpEYx8q0ychkWlTIi+I//PKy+Rs3rzfOjT3vDFVsZMJTZSI/FZEVorIchFZKiIDorDOgSIyrZL554rIbQ1df7CuH4vIwqDzahG5u9y2j69lxxqXM8YYY4wx4fXEX/7K03/5M8f3zyAvbyetWrVyXcmEjYRk8ph9mkMTJCLHAUOAdFXdIyJHAvvtO6yqTgGmRGl1zwIXqeoyEWkJ9A7mDwTygAU15Gu7XNR16hRLTs7/zorn5uYQGxvbbPI+dHCd96FD2PM+dHCd96GD67wPHVznfegQ9rwPHVznfegQjX2oTO/4eKa8OYOWLYRP167lrTf/u986NPe8MVVyPWiDTdGfgAuAqVU8tgl4EFgKZAHpwAxgPXBtsIwA44EVwMfAiGD+QGBacLsf8BHQAxgDTArmTwYmEnkxvwEYHsxvATwBfALMAt4sfaxCv2+BDhXmdQO+AHKD3icB5wALgw5vA0dVsdzk8tsB8oL/dwTmBsutAE6q7pjWZgDGnQVF2q17d129dkPZ4DbZS1fUemCbsOd96OA670OHsOd96OA670MH13kfOrjO+9Ah7HkfOrjO+9ChpnxtBmDM21OiK9ds2GcAxg2bv9C8PSW6a0+xXjLqMn3yqb+G9hj4ni+dPvl0Y9MagHHTd6GY8HgARrsyoWmaCdwpImuJvNB+SVXfK/f456qaJiKPEnmxfQJwEJEX1U8SORmRBqQCRwKLRWRuaTh4G8HjwHmq+rmInFRh+x2BE4F4IlcsvBKssxuQAHQAVgN/q6T7o8AaEZkDTAeeVdVNIvIkkRMBjwQdjgB+rKoqIlcBv1LVmytZ7soqjtElwAxVfSC4AuKQiguIyDhgHECXrl2rWM3/xMTE8OiESZwz+AyKi4sZPWYsCYmJNeaaSt6HDq7zPnQIe96HDq7zPnRwnfehg+u8Dx3Cnvehg+u8Dx2isQ9jLruEeXPn8PX27Rwb14Xf3nE3eXl5PP3kEyBw3tALuHzMFd7uQ9jzAJdfOpJ5781h+/bt9OjWmTvuvIcxY6v6Nds0FxL8ldY0McEL5JOAQcA1wG2qOllENgEnqGquiIwFjlPVq4PM50AKcBfwsar+LZj/PPAy8D3wV6AA+KmqbgkeHwNkqup1IjIZmKWqLwSP7VTVNiLyGLBMVf8ezP8P8E9VfaWS7j2AnwIXA6qqA4OxE8qfJEgG/kDkxEUrYKOqnlnJcpOJXE3xSnA/T1Vbi8jJRE5m/AN4XVWXVnc8MzIydf7CrFoceWOMMcYYU1vFJQ17LdKyhedvKm8GThiQSXZ2Vqj+IRJS0vWFqe/VvKAH0rsdlq2qma57VMYGYGyiVLVYVeeo6l3AdcCwcg/vCf5fUu526f2arlbZCuwG+lazTPl11vkbi6quV9U/A6cCqSLyo0oWe5zIWyuSiZwsOaiK1e0leJ6LSAuCsSNUdS5wMpG3REwWkcvr2tMYY4wxxhhjmis7mdAEiUhvEelVblYa8FkdVjEPGCEiLUWkPZEX3YuCx3YAg4EHRWRgHdY5HxgmIi1E5Cgi4y9U1n2wiJSegOgFFAfb3Am0Kbfo4UROBACMLje/4nKbgIzg9rnAAcF2jgG+VNWngWeIjB1hjDHGGGOMMaYWbMyEpqk18LiItCXyl/l1BO/9r6XXgOOAZYASGY/gCxGJB1DVL0VkCPBW8FaJ2niVyJUGq4DNwBLgu0qWuwx4VETyg+6jVLVYRKYCr4jIecD1wN3AyyLyLTAb6B7kKy73NPCGiCwjMgbDrmC5gcCtIlJE5NMf7MoEY4wxxhhjmgkJ1Rsz/GRjJphGIyKtVTUveNvCIiJjN3zhuldt2JgJxhhjjDHRZ2MmhF9Yx0z457RwjJnQ9xh/x0ywKxNMY5oWXC3RCrgvLCcSjDHGGGOMMcbsy04mmEajqgNddzDGGGOMMcY0b0I9Rok3P2AnE4wxxhhjjDFONPRtCtF4y7bYm+eNqRf7NAdjomjmjOmkJPYmMb4n4x9+qNnlfejgOu9Dh7DnfejgOu9Dh2uuGkvXTh3ISEuqczYa24/GOsKe96FD2PMNfR5Ho4Ptg/v8NVeP5ZjYo8hMSy6b98033zDkrJ+SnHAsg888nW+//dbrfXCdL1VcXMyPM/tywXlD6r0O04Soqk022VTDlJ6eoQVFWu2Ut3uvdo+L01Vr1ut3u/ZocnKKLlm2ssZcU8n70MF13ocOYc/70MF13pcOs2a/pwsWZmtCYmKdck3lGLjO+9Ah7PmGPo9tH8KRzy8sqXGa+c4cnb8wSxMSEsvm3XjTLXrv/b/T/MISvfeBB/WmW34V2mPQGM/D0umhh/+gF108Us86e3DZvPT0DHX9u3pdp4Tkvrr0s+9DMQFZro9XVZNdmWBMlCxetIgePXrSPS6OVq1aceGIi5k29Y1mk/ehg+u8Dx3Cnvehg+u8Lx1OPOlk2rVrV6dMNLfv+hi4zvvQIex5aNjzOBodbB/c5yE4hkfsewynTZ3CqMtGA3DpZaOZOuV1b/fBdb5UTk4O09/6L1eMvarOWS9JSCaP2ckEY6Jky5ZcOnfuUnY/NrYzubm5zSbvQwfXeR86hD3vQwfXeV86NERTOAau8z50CHs+Gmwfwp+vyldffUnHjh0BOProo/nqyy/3W4ew50vdevMveeDBh2nRwl5Cmgh7JjRhIlIsIktFZJmILBGR44P53URkRZS2MUdEfvC5p8H8NSKyXEQ+EZFJwcdCRpWIDBWRhHL37xWR06K9HWOMMcYY0zSJiA3CWIM3/zuNDu07kJ6R4bqK8YidTGjaClQ1TVVTgf8DHmzk7Y9S1RQgBdgD1P16qpoNBcpOJqjqnar69n7YTo06dYolJ2dz2f3c3BxiY2ObTd6HDq7zPnQIe96HDq7zvnRoiKZwDFznfegQ9nw02D6EP1+VDh2OYuvWrQBs3bqV9h067LcOYc8DfLBgPtOmTaF3z25cPupi5rw7mysuv7RO6/CNhOQ/n9nJhObjMOAHw9SKyEEi8ncR+VhEPhKRQTXMP1hEXhSR1SLyGnBwTRtW1ULgV0BXEUkN1nOTiKwIpl8G87oF631aRFaKyEwROTh47GoRWRxcZfGqiBwSXGlxLjA+uAKjh4hMFpHhQebUoPvHIvI3ETkwmL9JRO4Jrtb4WETiG3x0gcx+/Vi37lM2bdxIYWEhL7/0IoOHnNts8j50cJ33oUPY8z50cJ33pUNDNIVj4DrvQ4ew56PB9iH8+aoMPuccXnj+WQD+8fyzDDnnPG/3wXUe4L4HHmT9phzWrNvEcy+8yMBBp/D35/5Rp3WYpifGdQGzXx0sIkuBg4COwCmVLPNzQFU1OXhRPVNEjq1m/s+AfFXtIyIpwJLaFFHVYhFZBsSLSAxwBTCAyLAiC0XkPSInO3oBI1X1ahH5NzAM+AfwH1V9GkBE7geuVNXHRWQKME1VXwkeI/j/QcBk4FRVXSsizwXdHwsqbVfVdBH5f8AtQINHkomJieHRCZM4Z/AZFBcXM3rMWBISE5tN3ocOrvM+dAh73ocOrvO+dLj80pHMe28O27dvp0e3ztxx5z2MGXtlo23f9TFwnfehQ9jz0LDnse1D08gDjL70EubOncPX27fTs3sXbr/zbm6+9TYuu2QEz07+G127HsM//vVvb/fBdd6Yqoiquu5g9hMRyVPV1sHt44BngCTgGCIvwJOCqwseV9XZwXLziJxIuKeK+fcCE8vNXwKMU9WsCtueA9xSfr6IvAH8Ezga+JGq3hnMvw/YBkwBZqlqr2D+r4EDVPV+EfkJcD/QFmgNzFDVa0VkMvueTJgMTAM+DfqfHMw/Ffi5ql4gIpuAE1Q1V0QGAA+o6g/GWRCRccA4gC5du2asXf9ZnY6/McYYY4zZv6LxWsbGS2iYEwZkkp2dFaqDmJiSrv/671zXNWoltWubbFX9wRh1PrC3OTQTqvoBcCTQ3sX2RaQlkAysrmHRPeVuF/O/q2cmA9epajKREx0HNbBS6XbKb2MfqvqUqmaqamb7I50cNmOMMcYYY8x+IBKOyWd2MqGZCN6q0BL4usJD84BRwTLHAl2BNdXMnwtcEsxPIjK4Yk3bPoDI4I+bVXV5sO6hwbgHhwLnB/Oq0wbYGqxrVLn5O4PHKloDdBORnsH9y4D3aupqjDHGGGOMMaZmNmZC01Y6ZgJExiYYHYxdUH6ZJ4A/i8jHwF5gjKruEZGq5v8Z+LuIrCZylUF2Ndt/QUT2AAcCbwPnAajqkuDtCIuC5Z5R1Y9EpFs167oDWEjk7RAL+d8JhBeBp0XkBmB46cKqultErgBeDsZoWAw8Wc36jTHGGGOMMcbUko2ZYEwtZGRk6vyFWTUvaIwxxhhjGo2NmeBeWMdMeOnNcIyZkNzFxkwwxhhjjDHGGGNME2EnE4wxxhhjjDHGGFMnNmaCMcYYY4wxxpjmQ4LJNIhdmWBMFM2cMZ2UxN4kxvdk/MMPNbu8Dx1c533oUF1eVWucxl11BV07dSAjNekHjzVG/2isI+x5Hzq4zvvQwXXehw5hz/vQwXXehw77My8itZpmzZxBalI8SX168cj43+/zWG1+Nk6a+BgZqUmkpyTy+IRHG/1no+t8tNZhmpjafPHYZFNzn9LTM7SgSKud8nbv1e5xcbpqzXr9btceTU5O0SXLVtaYayp5Hzq4zvvQoaZ8fmFJjdPMd+bo/IVZmpCQ+IPH7Bja88iOgR2DsOR96OA670MH1/narKOmn4uLlyzXhIRE3b4jT7/PL9RBp5yqH69a22g/G13na1pHenqGuv5dva5TQkpf/ThnZygmIMv18apqsisTjImSxYsW0aNHT7rHxdGqVSsuHHEx06a+0WzyPnRwnfehQzT24cSTTqbdEe3qlInm9l0fA9d5Hzq4zvvQwXXehw5hz/vQwXXehw6u89FYx5pPVpPZvz+HHHIIMTExnHjSybzx+n8abfuu89Fah2l67GSCMVGyZUsunTt3KbsfG9uZ3NzcZpP3oYPrvA8dorEPDWHH0I5BNPI+dHCd96FD2PM+dHCd96GD63w01pGQmMSC99/n66+/Jj8/nxnT3yInZ3Ojbd91Plrr8I2E5D+f2QCMpsFEpBj4uNysF1XV2RupRKQbcLyq/tNVB2OMMcYY0zTE9+nDTbf+inPOPoNDDz2UlNRUWrZs6bqWMc7ZlQkmGgpUNa3c5HpElm7AJXUJiEiDT6x16hS7z1nq3NwcYmNjm03ehw6u8z50iMY+NIQdQzsG0cj70MF13ocOYc/70MF13ocOrvPRWseYK65kwcIsZs1+j7Ztj6Bnr2Mbbfuu89Fah2mCXA/aYFP4JyCvivmbgHuAJUSuXIgP5rcG/h7MWw4MC+aPDOatAH5f2fqB4cDk4PZkYCKwANgADA/mfwh8BywFbgRaAuOBxcH2rgmWGwjMA6YAa6vbx9oMwLizoEi7de+uq9duKBuYJnvpiloPbBP2vA8dXOd96FBTvjYDMOYXlujqtRvqNQBjcziGdgzsGNgxCEfehw6u8z50cJ2vzTpq83NxU84Xml9YomvWbdJjj+2tW776ptF+NrrO17SOMA7AmJjSV1fm5oViwuMBGO1tDiYaDhaRpeXuP6iqLwW3t6tquoj8P+AW4CrgDuA7VU0GEJEjRKQT8HsgA/gWmCkiQ1X19Rq23RE4EYgnclLgFeA24BZVHRKsf1ywvX4iciAwX0RmBvl0IElVNzZg/wGIiYnh0QmTOGfwGRQXFzN6zFgSEhObTd6HDq7zPnSIxj6MvvQS5s6dw9fbt9Ozexduv/NuxlxxZaNt3/UxcJ33oYPrvA8dXOd96BD2vA8dXOd96OA6H611XDJiON98/TUHHHAAj06cRNu2bRtt+67z0VqHaXok+AutMfUmInmq2rqS+ZuAE1Q1V0QGAA+o6mkikg1crKqfllv2PCJXKFwe3L8SSFTVm8qvX0SGA0NUdYyITAZmqeoLwWM7VbWNiAxk35MJrwApQH6wucOBa4BC4C5VHVTFfo0DxgF06do1Y+36zxpwlIzxQ0O/54v4PRCQMcYYU1f2s7FhThiQSXZ2VqgOQlJquv77rXmua9RKYmzrbFXNdN2jMjZmgtnf9gT/L6b+A36W/w5/UBXrB6oc7lSA6/V/Yzp0V9XSKxN2VblR1adUNVNVM9sf2b7urY0xxhhjjDGmibKTCcaFWcDPS++IyBHAIuAnInKkiLQkMn7Ce8EiX4pIHxFpAZxfi/XvBNqUuz8D+JmIHBBs71gROTQK+2GMMcYYY4wJIQnJ5DM7mWCi4WARWVpuqunTHO4HjhCRFSKyDBikqluJjHXwLrAMyFbVN4LlbwOmERlocWst+iwHikVkmYjcCDwDrAKWiMgK4C/Yx6IaY4wxxhhjTL3ZCyrTYKpa6Qftqmq3creziHx6AqqaB4yuZPl/Af+qZP4rRAZWrDh/TIX7rYP/FwGnVFj8N8FU3pxgMsYYY4wxxhhTB3YywRhjjDHGGGNM8+L7ewhCwN7mYIwxxhhjjDHGmDqxkwnGGGOMMcYYY4ypEzuZYEwUzZwxnZTE3iTG92T8wzWNQ9n08j50cJ33oUN1eRGpcZo1cwapSfEk9enFI+N/v89jjdE/GusIe96HDq7zPnRwnfehQ9jzPnRwnfehg+t8TetojJ+NvXt2IzMtmQEZaZwwIDOq/RsjH611+ERC8p/XVNUmm2yqYUpPz9CCIq12ytu9V7vHxemqNev1u117NDk5RZcsW1ljrqnkfejgOu9Dh7DnfejgOu9DB9d5Hzq4zvvQIex5Hzq4zvvQwXXelw5djzlGN2/dVqeMT/2rW0d6eoa6/l29rlNiSl9dvWVXKCYgy/XxqmqyKxOMiZLFixbRo0dPusfF0apVKy4ccTHTpr5Rc7CJ5H3o4DrvQ4ew533o4DrvQwfXeR86uM770CHseR86uM770MF13pcODeFDf9fHwPjJTiYYEyVbtuTSuXOXsvuxsZ3Jzc1tNnkfOrjO+9Ah7HkfOrjO+9DBdd6HDq7zPnQIe96HDq7zPnRwnfelg4hwzlk/5fj+Gfz16afqlPWhfzTWYZoeO5lg6kxEikVkqYisFJFlInKziLQIHssUkYn1WGc3EVlRxWPPiEhCcHuTiBwZ3F5QLntJueXr1cEYY4wxxpj94Z057/PB4iW8Pu0t/vLnP/H+vLmuKzV7IuGYfGYnE0x9FKhqmqomAqcDZwF3AahqlqreEM2NqepVqrqqkvnHBze7AZeUmx/1DrXRqVMsOTmby+7n5uYQGxvbbPI+dHCd96FD2PM+dHCd96GD67wPHVznfegQ9rwPHVznfejgOu9Lh9LlO3TowLlDz2fx4kWNtn0fjqFpolwP2mBT+CYgr8L9OOBrQICBwLRg/k+ApcH0EdAGaA28AywBPgbOC5btBnwCvACsBl4BDgkemwNkBrc3AUeW7wF8CHwXbOfGCh0OBf4GLAo6lG4vMZi3FFgO9Kpun2szAOPOgiLt1r27rl67oWxgmuylK2o9sE3Y8z50cJ33oUPY8z50cJ33oYPrvA8dXOd96BD2vA8dXOd96OA670OH7Tvy9Ktvvi+7PeDHx+kb094KTf+a1hHWARg/2borFBMeD8AYE4XzEaaZU9UNItIS6FDhoVuAn6vqfBFpDewO5p+vqt8Hb1f4UESmBPN7A1cGy/8N+H/AI7WocBtwi6oOARCRgeUe+y0wW1XHikhbYJGIvA1cC0xQ1RdEpBXQso67/QMxMTE8OmES5ww+g+LiYkaPGUtCYmKzyfvQwXXehw5hz/vQwXXehw6u8z50cJ33oUPY8z50cJ33oYPrvA8dvvryS0YMPx+AvcV7GXHxJfz0jDND0z9a6/CN5+8gCAUJ/kprTK2JSJ6qtq4wbweRkwF9CF7Yi8htwPlErjb4j6rmiMgBwKPAyUBJkOkOHATMVdWuwfpOAW5Q1aEiMidYZ5aIbCJylcL20h7ByYOKJxNKO2QF694bVG0HnAH0JXKi4bmg26eV7Oc4YBxAl65dM9au/6xhB84YY4wxxpgm5oQBmWRnZ4XqtXlSarr+Z8b7rmvUSu+Oh2araqbrHpWxMRNMg4lIHFAMfFV+vqo+BFwFHAzMF5F4YBTQHshQ1TTgSyIv9gEqntmKxpkuAYZpZIyHNFXtqqqrVfWfwLlAAfBmcPJi342rPqWqmaqa2f7I9lGoYowxxhhjjDFNg51MMA0iIu2BJ4FJWuEyFxHpoaofq+rvgcVAPHA48JWqFonIIOCYcpGuInJccPsSoLanC3cSGY+hMjOA60UiY6GKSN/g/3HABlWdCLwBpNRyW8YYY4wxxhjT7NmYCaY+DhaRpcABRN4+8Dzwx0qW+2VwwqAEWAm8ReRF/1QR+RjIIjLoYqk1wM+D8RJWAX+uZZ/lQLGILAMmExlosdR9wGPA8uDjKzcCQ4CLgMtEpAj4AvhdLbdljDHGGGOMCbtQvTHDT3YywdSZqlY5WKGqziHy6Quo6vWVLLIHOK6S+RC5cqGydQ4sd7tbudutg/8XARXfplDaoQC4ppJ1PgQ8VEUPY4wxxhhjjDHVsLc5GGOMMcYYY4wxpk7sygRjjDHGGGOMMc2GAGLvc2gwuzLBGGOMMcYYY4wxdWJXJhhjjDHGGGOMIxU+EK3Ogg8tM6bR2ZUJxkTJNVeNpWunDmSkJdV7HTNnTCclsTeJ8T0Z/3Ddx4d0nfehg+u8Dx3Cnvehg+u8Dx1c533o4DrvQ4ew533o4DrvQwfXeR86NCS/ds0aBmT2LZuO+tHhTJr4WKNtH2D37t2ceFx/+qenkp6ayH333FXndXhFQEIy1bgrIl1E5F0RWSUiK0XkF8H8diIyS0Q+Df5/RDBfRGSiiKwTkeUikl7v46iqNtlkUw1TenqGFhRptdOs2e/pgoXZmpCYWOOylU15u/dq97g4XbVmvX63a48mJ6fokmUrQ5P3oYPrvA8dwp73oYPrvA8dXOd96OA670OHsOd96OA670MH13kfOtSUzy8sqfW0s6BIOxx1lH7y6cayeY1xDPMLS3Tbtzu1oEj1+/xCzezXX+fM+0ALilTT0zPU9e/qdZ2SUvvqp1/mh2ICsqrbF6AjkB7cbgOsBRKAh4Hbgvm3Ab8Pbp8NvBU5pcKPgYX1PY52ZYIxUXLiSSfTrl27eucXL1pEjx496R4XR6tWrbhwxMVMm/pGaPI+dHCd96FD2PM+dHCd96GD67wPHVznfegQ9rwPHVznfejgOu9Dh2jsQ6l3Z79DXFwPuh5zTKNuX0Ro3bo1AEVFRewtKrK3V3hCVbeq6pLg9k5gNRALnAc8Gyz2LDA0uH0e8JxGfAi0FZGO9dm2nUwwxhNbtuTSuXOXsvuxsZ3Jzc0NTd6HDq7zPnQIe96HDq7zPnRwnfehg+u8Dx3Cnvehg+u8Dx1c533oEI19KPXyv1/kwhEX1ykTre0XFxczICONrp06cMppp9N/wIA6r8PsXyLSDegLLASOUtWtwUNfAEcFt2OBzeViOcG8OrOTCabRiUhehftjRGRSPdc1UESmlbt9fLnHJovI8Ia1NcYYY4wxxr3CwkLenDaVC4Zd6GT7LVu2ZGH2UtZtyiFr8SJWrljhpEe0SEgm4EgRySo3jat0f0RaA68Cv1TV78s/ppH3NzRspM9K2Kc5mKZkIJAHLHDco146dYolJ+d/Jwlzc3OIja39SULXeR86uM770CHseR86uM770MF13ocOrvM+dAh73ocOrvM+dHCd96FDNPYBYMb0t0jrm85RRx1V88L7Yful2rZty08GDmLmzOkkJtV/4HFTa9tVNbO6BUTkACInEl5Q1f8Es78UkY6qujV4G8NXwfxcoEu5eOdgXt25HvzCpuY3AXkV7o8BJgW32wdfCIuD6YRgfn/gA+AjIicLegfzBwLTgG5ELt/JBZYCJwGTgYnB8huA4UHmOWBoue2/AJxXXefaDMBYUKT6yacb6z0A486CIu3WvbuuXruhbHCc7KUrQpP3oYPrvA8dwp73oYPrvA8dXOd96OA670OHsOd96OA670MH13kfOtSUr+3gi8MvHKFPPv3XH8xvjGP4+ZavdOu2b7WgSPWb7/P1+BNO1Fdfn6oFReEdgHHdl/mhmKh5AEYJXt88VmH+ePYdgPHh4PZg9h2AcVF9j6NdmWBcOFhElpa73w6YEtyeADyqqu+LSFdgBtAH+AQ4SVX3ishpwO+AYaUrUNVNIvIkkRMVjwCIyJVERjc9EYgPtvEK8FfgRuB1ETkcOB4YXbFkcAnROIAuXbvWuFOXXzqSee/NYfv27fTo1pk77ryHMWOvrO0xISYmhkcnTOKcwWdQXFzM6DFjSUhMDE3ehw6u8z50CHvehw6u8z50cJ33oYPrvA8dwp73oYPrvA8dXOd96BCNfdi1axez35nF4088WadctLb/xdatXD12NMXFxZRoCcOGX8TZg4fUuYtXms74kScAlwEfl3uN9RvgIeDfwWuiz4CLgsfeJPKJDuuAfOCK+m5YgrMTxjQaEclT1dbl7o8BMlX1OhH5CthSbvH2QG/gCCJXGfQi8n6fA1Q1XkQGAreo6hARuZt9TyZMBmap6gvB/Z2q2ia4vZLIVQ3DgJ6qekt1nTMyMnX+wqwG7rkxxhhjjDH7aujrMdefqnDCgEyys7NC9dI8OS1dX58133WNWunZ4ZBsreFtDq7YlQnGNy2AH6vq7vIzgwEa31XV84NRSufUcn17yq+m3O3ngEuBi2nA2ThjjDHGGGOMaY7s0xyMb2YC15feEZG04Obh/G9gkDFVZHcCbWq5ncnALwFUdVXdKhpjjDHGGGNM82YnE4xvbgAyRWS5iKwCrg3mPww8KCIfUfUVNVOB80VkqYicVN1GVPVLYDXw9yj1NsYYY4wxxoSChOY/n9nbHEyjKz9eQnB/MpErBVDV7cCISjIfAMeWm3V7MH8OwVseVHUtkFJumXlVbVdEDiEy/sK/6rkbxhhjjDHGGNNs2ZUJptkJPg1iNfC4qn7nuo8xxhhjjDHGhI1dmWCaHVV9GzjGdQ9jjDHGGGOMG44/BKNJsJMJxhhjjDHGGONIQz/asaSkYR8tCdCihb2yNnVnb3MwJopmzphOSmJvEuN7Mv7hh5pd3ocOrvM+dAh73ocOrvM+dHCd96GD67wPHcKe96GD67wPHVznfejgOn/tuLEc0/koMvsml8174L676dm9Mz/u15cBGWlMf+vNKvPXXDWWrp06kJGWVOdtmyZMVW2yyaYapvT0DC0o0mqnvN17tXtcnK5as16/27VHk5NTdMmylTXmmkrehw6u8z50CHvehw6u8z50cJ33oYPrvA8dwp73oYPrvA8dXOd96LC/87v2lNQ4zXh7jr7/YZb2SUgsm/eb2+/UBx58WHftKamxw6zZ7+mChdmakJj4g8fS0zPU9e/qdZ2SU9N147aCUExAluvjVdVkVyYYEyWLFy2iR4+edI+Lo1WrVlw44mKmTX2j2eR96OA670OHsOd96OA670MH13kfOrjO+9Ah7HkfOrjO+9DBdd6HDq7zACeedDLtjmhXp8wP8u3qnzdNk51MMCZKtmzJpXPnLmX3Y2M7k5ub22zyPnRwnfehQ9jzPnRwnfehg+u8Dx1c533oEPa8Dx1c533o4DrvQwfX+er85ck/0T8jlWuuGsu3334blXWa5sNOJjQxIlIsIktFZKWILBORm0Wk2n9nEekmIpfUc3tDRURFJL5+jRtORO4NPu4REdkkIkdWsszdInJL47czxhhjjDHGP1eN+xkrVq/jw8UfcXTHjtx2682uK5mQsZMJTU+BqqapaiJwOnAWcFcNmW5AvU4mACOB94P/O6Gqd2rk4x6d6tQplpyczWX3c3NziI2NbTZ5Hzq4zvvQIex5Hzq4zvvQwXXehw6u8z50CHvehw6u8z50cJ33oYPrfFWOOuooWrZsSYsWLRh75dVkZS1q8DpDRUIy+cz1oA02RXcC8ircjwO+JvJU7AbMA5YE0/HBMh8C3wFLgRurWq6SbbUGcoFjgTXl5rcEHgFWAMuB64P5/YAFwDJgEdAmWHY8sDhY9ppg2Y7A3KDTCuCkYNnJwf2PgRuDZScDw4Pbm4CHg8cXAT2D+XcDtwS3ewDTgexgP+NrOq61GYBxZ0GRduveXVev3VA2OE720hW1Hlwn7HkfOrjO+9Ah7HkfOrjO+9DBdd6HDq7zPnQIe96HDq7zPnRwnfehw/7O12YAxl17SnTVmg37DMC4blNu2e3fj/+jDr9oRLU9Pvl0Y9MagHF7QSgmPB6AMabOZx9MqKjqBhFpCXQAvgJOV9XdItIL+BeQCdxG5IX2EAAROaSK5So6D5iuqmtF5GsRyVDVbGAckRMSaaq6V0TaiUgr4CVghKouFpHDgALgSuA7Ve0nIgcC80VkJnABMENVHwj6HwKkAbGqmhT0bFvFbn+nqskicjnwGDCkwuNPAdeq6qciMgB4Ajil1ge1CjExMTw6YRLnDD6D4uJiRo8ZS0JiYrPJ+9DBdd6HDmHP+9DBdd6HDq7zPnRwnfehQ9jzPnRwnfehg+u8Dx1c5wFGX3YJ8+bO4evt2+kV14Xb77ibuXPfY/mypYgI3bp14/En/lJl/vJLRzLvvTls376dHt06c8ed9zBm7JV16mCaHgn+UmuaCBHJU9XWFebtAHoDu4FJRF6UFwPHquohIjKQfU8mHF7ZcpVsaxowQVVnicgNQFdVvUVEXgWeVNVZ5ZZNDuadUGEdrwApQH4w63DgmqDr34B/AK+r6lIROQLIAt4E/gvMVNUSEZkMTFPVV0RkE3BKcBLlAOALVf2RiNwN5AFPAtuANeVqHKiqfSrZv3FETozQpWvXjLXrP6u4iDHGGGOMMU6VlDT89VyLFvW/nv6EAZlkZ2f5fkH+PlLSMnTqOwtc16iVbkcelK2qlf1h1zm7MqGJE5E4IicEviIydsKXQCqR8TJ2VxG7sablRKQdkb/mJ4uIEnkLgorIrXWtSORtEDMq2cbJwGBgsoj8UVWfE5FU4AzgWuAiYGwl69QqbhPszw5VTaupmKo+ReQqBjIyMu2smzHGGGOMMcYEbADGJkxE2hP5S/wkjVyCcjiwVVVLgMuInAAA2Elk/IJSVS1X3nDgeVU9RlW7qWoXYCORsQ1mAdeISEzQox2RKwE6iki/YF6b4PEZwM+CqwgQkWNF5FAROQb4UlWfBp4B0oNPaWihqq8CtwPpVez6iHL//6D8A6r6PbBRRC4MtifBCQpjjDHGGGOMMbVkVyY0PQeLyFLgAGAv8Dzwx+CxJ4BXg7EEpgO7gvnLgWIRWUZkMMOqlitvJPD7CvNeDeZfT2RQxuUiUgQ8raqTRGQE8LiIHExkvITTiJwo6AYsEREh8haEocBA4NYgnwdcDsQCfy/3UZf/V8UxOEJElgN7qPxTJkYBfxaR24Pj9CKRQSGNMcYYY4wxxtSCjZlgTC1kZGTq/IVZrmsYY4wxxhizDxszoe5S0jJ02uxwjJlwzI/8HTPB3uZgjDHGGGOMMcaYOrGTCcYYY4wxxhhjjKkTGzPBGGOMMcYYY0yzEqr3ZXjKrkwwphYK95aw+ev8aqdLL7uc2KPbk5KUUDbv1tt+yzFdOjEgI40BGWlMf+tNAD7btIkj2hxcNv/6/3ct11w1lq6dOpCRllS23f/79a2kJsXTr28KFw07n2+//RZVrXIad9UVkXWkJpXNu/vO2+nXN4X+GWkMPvN0Nm/OYW9xSZVT7x7dyEhLpn9GGscPyCybXxubN2/mjNMG0TclgfTURCZNnFCv411cXMyPM/tywXlDyuaVlGitpt499+1f/rHiWkzjrrqCLp06kJ6aVDbv3nvuIu6Y2B/8O1Zl5ozppCT2JjG+J+MffqhO+17dMSzcW1LjtGHjZ/z01EGkJSfQNyWRCY89RuHeEu6843Yy+6bQLz2Vs844nfWbPid/z94qp535e+ifkcZ55wwmf89eps+YxYDMvmSkJXHVFaPZu3dvnf8N66KqY1i0t6TW0+49RQzI7MvQcwfvM//GX1zPkW1bV/t1sP3rb7j4omGkJMaTmtSH+fPnc1dwDCNfSz8lNye3yufh5599Hvl3TE4gPSWRxyc8RkmJ8srL/yY9NZFDWrUgO6v6cViqOgbVfQ8oP02a+BgZqUnB9h/d57GG/BvU1o4dOxg5YjipSfGkJffhww8+qDkU5Q4NzVf2fTla26/u+Vc6rVq9mv4ZaWVTh3aHMeGxR9lbXFKr50BlPxPKTzV9Py3//bB03isv/5v0lNo9hwF69+xGZloyAzLSOGFA3d/yW92/QW1/Lkx49I+kpySSnprEZaNGkp9fUOtsNI6B6+fx7t27OfG4/vRPTyU9NZH77rmrTvlo/Gzfn19LjbF9H45BdfkWLaTGKTc3h7N+egoZaYlk9k3iiUkT93l84CPv1TjFn3897Tp3p11sd3oPva5s/povdyIiN4uIBp++hogcLiJTRWSZiKwUkSvqtePGa3YywZgouWDEpfz1X6//YP4V465jYfZSFmYv5cyzzi6bH9ejR9n8x594kstGj+GNadP3yZ562ulkL13BoiXL6NWrF4/8/sFqO1x2+Rhen/bWPvNuvPlWFi1ZxoJFSzjz7CE89Lv7atyX/854hwWLljB3waIaly0vJiaGhx7+Ax8tX8V773/IX578E6tXrarTOgAmTZxA7z596pwr9dbM2Xy4+CPe/2BxnbOjLhvD61Pf+sH8667/ZaX/jhUVFxfzyxt+zhtT3+Kj5at4+cV/1ekYNPQYxsTEcP9D41n0/9k76zA7iqyN/06cCAkQIcRdkBhOSAIkECHBCU6AQNDgrsHd3V0Wd4fg7i6L7AL7LbLALrJIqO+P93S6pqfvnZnMhEmyfebpZ7r7dlVXl57zHqlX3uShx57mogvO5d133mb6nvvw9Auv8tgzL7Hm2PGcfNzRZfO54Nwz6dtPbfDHH3+wy7Rtuejya3jp1Tfp2q0bV195Rdn0tWnD2tZhQuedfSZ9+/WvcO/ll17ku2+/rTLtfnvvwegxa/Hy62/zzAuv0K//AHbfax+effFVnn3hFcaNn8BxxxxZMn3DRo049oSTeem1t3j0iWe48Pxzeeedtxk4cCmu/8stDF91RNn317YO3nrzTS675GIef/o5nnvpVe69527++uGH1U5fF22wz567s+aaY3ntzXd5/qXX6F/D/lDbMtTFN+TNy3/m+/v27cfTz7/M08+/zBPPvMBCzZszcdK61U6ftybUhLbImQ8HDlyKa2+4uco+HNN9Dz3Kcy+9ypwEMq5NGwB88fnnnHfOWTzxzAu8+Mob/DFrFjf+5fpqp69tHcwL/bhp06bc9+AjPP/yazz34qs8cP99PPfss9VOXxdre32Ppdr2o/qug7pIX9tv+On/PuLLF+5iyZ3PZ+npF/Pdu8/w368/A+CP338DWBP4W5RkF+DtEMIgtEvbKWbWZI4/oKB5kgowoaCC6oiWW2k4rdssOsfph686gkUXrZh+9Jg1adRI3kjLrbAin3/+edV5LFIxj4UXXnj2+Y8//oh24Jw71LFjR4YMHQpAq1at6N9/AF98Ub7MWfrss8+479672WbbqXOjiFXS8FVHsMgic96OLzz/PL169aZHz540adKEjSZvwl133l7t9LWtw8U7dmTwkDR9v/79+eKLzyv0g59++gnK9IPPP/+MB+67ly223haAf33zDU2aNKF3n74ArD56DLfdenPJ9LVtw9rWIcDnn33G/ffdw9bbbDf73qxZszj0oP056tjsrrYV6fvvv+fpJ5+YnbZJkya0adOm4lj6qfxY6tixI0MqtMMAvvj8c/oPGEDffv2qLH9t6+C9d99h2eWXp3nz5jRq1Ijhq47g9ttuqXb62r7/+++/58knH2fKthXrsCZU2zLURT/Km5f/zPfHNPORh+nRoxddu3Wrdpq8NaEmlJe+un24rqg2bZDQ77N+5+eff+b333/np59+omPHJWr2/lrUwbzQj82Mli1bAvDbb7/x+2+/1YgXqIu1vb7HUm37UX3XQV2kr+03/PzV32jZZSANmzTDGjZi4R6D+ddbTwDw6/dfAewHxKZvAWjlW7+3BP6Ftq2fN8jECs0Px7xMBZhQUEFzma6+9AKWG7IM06Zuy7eRRvSTjz9mxWWHMGb1kTz55BNV5nPl5Zex5lpj56gMhx96MP17deMv11/LwYfNKPusmbHu2mNZdaXluPTiC+fofSBXjldffYXlll+hRun23XsPjjnuRBo0mLPpyTAmTViLVVZctlblz9IF55+T245Z+uKLz+ncucvs606dOlcJApWiOa3D2ek//YTXX32VZZdT+iMPP4Sl+/Xgphuu48BDjiiZ7uD99uaIo4+b3QaLtW3L77//zisvS6t468038dnf/14yfW3bsC7q8IB99+TIY46vUIYLzjuHcRMmsnjHjmXTfvrJx7Rt144dt9+WVVYYxi47bs+PP/4IwIzDDqFvr67ccN21HHJ4acuEivl9wmuv1awda1sHA5dciqeffJJvvvmGn376ifvvu5fPPivdZnX9/k8+/pi2bduxw3bbsOKyQ9hph6mz6/DPKkNdjsU5obp+/0033sBGkzepi6L9qWRmTBy3JisvP4xLLqq7Obm6tESnTuy+x970792NXt2WYOHWrRk9Zs0/7f3zSj+eNWsWKwwbTNcl2rP66DEsv8Icriu1XJfmhOp7LGepPuqgrmlOvqF5hx785+PX+e3H75n163/57r1n+fX7L/nX209iDRsRQngtk+RsYADwBfAGsHsIoXp+swXNN1SACQX9qeS+VFdH143M7Cszu6saaX/w/93NbLPo/rJmdmYVabub2Zu1Kfuc0GZTpvLQc2/y3EuvsnjHjhyw796AtMfvf/Q3nn3xFU446VSmbLkZ//73v0vmc8Jxx9CoUSM22WzzOSrHjKOO4d2/fsrGm2zGheedU/bZBx55nCeffZFbbr+biy44jyefeLzG7/vhhx/YdOMNOOmU0ytoc6uie+6+i/bt2jN02LAavzOhhx59gqefe4lb77iHC84/d47Kn6WpO+zEG+98WKkd5ybNaR3G6bfcdCOOO+nU2ekPm3E0b7z3MRtO3pSLLzg3N939995N23btGDwkbQMz4+LLr+aQ/fdh+ErL06pVKxo2bJibvi7asLZ07z130bZ9e4YMTcvwjy++4LZbbmLHnXetMv3vv//Oq6+8zNQdduSp516iRYsWnHqSrBkOP/Jo3v/r35i86WZccN7ZVeb1ww8/sNkmG3LiyafNUTvOKfUfMIC99t2PiePXYp21x7HMoEEl22xuUFKH20/biWdffIXmLVpw8hz4ORck+vXXX7nn7jtZb/0N67soNaaHZz7JMy+8zG133csF551TJ3NyTejbb7/lrrvu4K33PuLDTz7npx9/5Lprr6464QJGDRs25LmXXuXDTz7jxRee5603a84S1XZdWhBoQaiDOf2Ghdp3o+PITXn30n1577L9aL5Eb/74/Te+ePQamiy8WF6StYBXgSWAwcDZZjZ/VlpBJakAEwr6s+lHYCkzW8ivxwA1hZe7A7PBhBDCiyGE6XVTvLqltu060LBhQxo0aMC2223Piy8qBkHTpk1ZbDFNvEOHDaNnz1588P77uXlcdcXl3HvP3Vx25dW1dlGYvMlmVZo6L9GpEwDt2rdn4qR1eenFmsUd+O2339h04w2YvOnmrLve+jVK+8zTT3HXXXfQr3d3ttp8E2Y++gjbbLVFjfJIyt++fXsmrbMuL75Qs7gPedShQ3475r5/iU4VNMCff/4ZnbxM1aXa1GGSfstNN2TjyZsxad3K6TeavCl33n5rbtrnnn2a++65i8EDe7P9lM154rFHmbbdViy3wkrc/eBMnnzmeYavOoLeffvmpq+TNqxlHT73zNPce9edLNWvJ9tstRmPz3yUFYYtzUcffcjgJfuyZN+e/PTTTwwamP8NnTp1plOnzrM1NuustwGvvvpyhWc22WRzbru1/Fj67bff2GzyhkzeZDPWyWmHclQX/WjKNtvx9HMv8uAjj9GmzSKz3VT+jPd36tyZTp07z9Z+rrfBhrz6ystVpKrbMtRFHdaG6vL9D9x/L4MHD6F9hw51Vbw/jTrFc/K66/FCHczJNaFHH3mI7t27065dOxo3bsykddfjuWee/tPeP6/14zZt2jBy1Go88EDNfO9ruy7Vhup7LCdUn3VQV1Tbb2i/3ASW3u1CBk47k0YLtaJ5h+788u0/+PnLTzGzT4DOwMtmtjiwDXBLEH0IfAz0L5N9QfMhFWBCQfVB9wAT/HxT4LrkBzM7wsz2ia7fNLPumfTHA6ua2atmtqeZjUosGzz9VWb2jJl9YGbbZ19uZg3N7CQze8HMXjezaXX9gQl9+c9/zD6//bZbGbikIvB+9dVXzJo1C4CPP/qIDz/8gB49e1ZK/8D993HqKSdy4y2307x58zkqw4cffDD7/O677ijr5/njjz/yn//8Z/b5ww8/yMAll6z2u0II7Lj9dgpWt+deNS7rUcccx18/+Yz3PvyEK6+5nlGrrc5lV1Zfg1Sp/A89OLvOa0P/94/8dsyjZZdbjg8//IBPPv6YX3/9lRtvuJ4Ja0+q9rtqW4chBHbdcSr9+g1g1933nH3/rx+m/eCeu+6gT9/8fnDYjGN48/1PePXtD7no8mtYdeRqXHDJlXz15ZcA/PLLL5xy0glsv8OOuelr24ZQ+zo84qhjefevf+PN9z7isiuvZcSo1fjbP77hw0++4M33PuKt9z+iefPmvPZ2PoDXYfHF6dS5C++//x4Ajz36CP0HDOTDqA7vuvN2+vUrzROFENhp2lT69e/P9D1q3o61rQOAL73N/v63v3HHbbcyeZPNqkhRd+9ffPHF6dy5C++/pzqc+cjD9B8wsEblr20Z6qIOa0N1+f6b/nI9G248/7k4ZOfkhx58gCXrYE6uCXXp0pUXnnuOn376iRACMx99hH795zzAb01pXujHX331Fd999x0AP//8Mw8/9GDZ+StLtV2Xakv1PZah/uugLqguvuG3H+Tm+ct3/+Rfbz1O26FrMeyQ22i+eE9CCN2Bz4ChIYT/Q8EY1wAwsw5AP+CjOviUOiSbT455lxrVdwEK+p+k64HDHABYBrgUWLUG6Q8A9gkhrA1gZqMyvy8DrAi0AF4xs7szv28HfB9CWM7MmgJPmdkDIYSPa/wlEe2549Y8//QTfPuvb1h1SB+m73sIzz39OO+++TpNGjWkW/funHXuBQA8+cTjHDXjMBo3akyDBg0465zz2WP6Ljzx2Ey+/vprenXvzKGHzeCkE4/jl19+Ye1x8u9cfoUVOOuc80uWYestNuPxx2fyzddf07tHFw457Ajuv/dePnj/PaxBA7p07coZZ51XMv2X//wnm03eAJCZ8saTN2XMmtWP0/D0U09x7TVXsdRS2gYMYMbRx5bd/aAu6ct//pNNNhbSPuv339l4k01rHGdiypab8YTXYd+eXTj40CN44vHHeP21V2lgVqEd86hRo0acdsbZTJywFrNmzWLrKdvWCJCpbR0++/RTXH/t1Sy51NIMX0GBlg6bcTRXXn4pH37wPmZGl67dOPmM8u4uWTr7jFO4/957gD/YfoedGLXa6jVKXxOqbR3WBZ182hlMnbIlv/76K9179OC8Cy9l152254P336dBgwZ07dqNM88uPZaeefoprrvmKpZcamlWXG4IAEcceQy//voLe+85na+/+or115nAMoMGc+c991dKXxd1sNnkDfnXN9/QuHFjTjvz7BoFQKyL9596+llss9XmqsOePbnw4stqlL62ZaiLb9hqi00rzctJUMk/4/0gIfyRhx/ijLNLz/2lKG9NmLJN9coPsHU0H/bp2YVDDj2CRRZdtFp9GDQnT95wPUBBECdvslmN5+TatAHAcsuvwLrrb8AqKwyjYaNGDBo8hG2n7lDt9LWtg3mhH//fP/7B9ttuzaxZs/gj/MEGG27M+AnV37a3Ltb2+h5Lte1H9V0H88o3fHDNYfz2079p0KAR3SftQaOFWpV7/CjgcjN7A0nE+4cQvq72ywqaL8iqu990QQXVBZnZDyGElmb2InAO0Ad4AAcHzOwI4IcQwsn+/JvA2iGET6K0o6gMJsTpG4QQDvPfrgRuQT5bd4UQljKzmxDg8JMXqzUwLYTwQKasOwA7ACzRucuwmS++O8ff3WWxObMqSKguxumsP2qXR6OG9WvI9Ectyw8VQwzPCTVsUL/o8K+/1z5u0e+zapdH86b1i0H/Vgd1UNvIyA1qmUGDWvajupgP5uauLgVVj2o7FutiPqptV6ptX64t1cW6UFuq7zooqKC6olEnPzbHad88ewd++Oy9+WowLDNkWLjnkWfquxjVoi6LNn0phLBsfZcjjwrLhILqi+4ATkb7zsZRW36novtNsznIO8tdZK8N2C2EkK9GSBKFcCFwIcDSg4bWP8dSUEEFFVRQQQUVVFBBBdWajHl/28X5gYqYCQXVF10KzAghvJG5/wkwFMDMhgI9ctL+ByhnV7WOmTUzs8UQWJGNIHg/sJOZNfb39DWzFjX+goIKKqigggoqqKCCCiqooP9RKiwTCqoXCiF8BuRt53gzsJWZvQU8B+RFSHsdmGVmrwGXA6/k/P4o0BY4KoTwRSaI48VoR4iXTba+XwHrzum3FFRQQQUVVFBBBRVUUEEF/a9RASYU9KdSCKFlzr2ZwEw//xlYs1zaEMJvQDb628zo/PUQwlaZtJ8AS/n5H8BBfhRUUEEFFVRQQQUVVFBBBRVUQyrAhIIKKqigggoqqKCCCiqooIL+p6gImVB7KsCEghYoCiEcUd9lKKigggoqqKCCCiqooIIKWtCpCMBYUEEFFVRQQQUVVFBBBRVUUEEF1YgKy4SCCqoGvfn6K1/3XbzFp2UeaQt8XYtX1Db9vFCG+T39vFCG+k4/L5ShvtPPC2WY39PPC2Wo7/TzQhnqO/28UIb6Tj8vlGF+Tz8vlKG+088LZagqfbda5F1vVGwNWXsqwISCCqoGhRDalfvdzF4MISw7p/nXNv28UIb5Pf28UIb6Tj8vlKG+088LZZjf088LZajv9PNCGeo7/bxQhvpOPy+UYX5PPy+Uob7TzwtlqItvKGjBpMLNoaCCCiqooIIKKqigggoqqKCCCqoRFZYJBRVUUEEFFVRQQQUVVFBBBf1PkRX7OdSaCsuEggqqG7qwntPPC2WY39PPC2Wo7/TzQhnqO/28UIb5Pf28UIb6Tj8vlKG+088LZajv9PNCGeb39PNCGeo7/bxQhrr4hoIWQLIQQn2XoaCCCiqooIIKKqigggoqqKCC/hQaNGRYuH/ms/VdjGpRxzZNXppXY1YUlgkFFVRQQQUVVFBBBRVUUEEFFVRQjaiImVBQQQUV9CeRmVmoZ3OweaEMBRVUUEG1JTNbBPg9hPCfOUxfzIV1REVdFjTfUhEyodZUWCYUVFBBBdWAzKzlHKbrD2xpZk1r8e66WPYWr4M85ktK6m9O69HMWkXnZbeLrUZeDWuTfn6mOurH/9O0INRhbcaAmTUBLgGmx+OyBulnC79mtqqZzZfKtdrOI3E/8jqtafqVzKxnCCHMz32ytmtDfdL8WOaCFiwqwISCCqqCFpSJ2syWMrMec5AuWWRXMbOhc/juWtVhVIZmc8I8RelrzHRm8ukOHGVmLWvyTV7mkcBwYMM5YdoAnGFbeU7awUSLAE+b2apzkr6maeZmPnPyXq+/8cA5NS2Ht9lmZrapmU0G9q0pMBT1w5GoHzSrSfpyec5BGZY3sza1fX9NKSPEDZjTPGrz/jlNWyK/Pj4v1CRNs+h8oTl4Z1yHHecgfZ3xfmbWPClTDdMtCvTx81E+N1WbQgi/AkcBqwLbm9nCNUyf1N86wBlAi5qkr4t+lJdHTdrGx++qfj7SzAbX8P0NonqYAkyYg74xEXjAzLrPCaAQr+01fG+drkmRVUWX+iqH59W4pu+O2rDhnPIWBRVUGyrAhIIKKkOZibpRTSfqaKFcOO9+DfNoGN2r0dh1hm8zYMmapncGYR3gLKBGDJ+/KxHiRpnZNi6I1Yg8/QTgL0gQ3HMO3j8GONbMFq3F4t8B6I6C11aLcXKGbVYI4QLgM2B1YFJNmIaoDywN7AFcb2ZDapI+iL4FzgR6+P1qATOZcTDEzBazOdTMe72tMCcCTVQPw8xsYE3a0d+7NnAccEdNTXJdeLkfOA04GTg8hPBLdeswKsNY4GLg8xDCf2tShuj7O5vZQma2UE0Y+GgsjAMuB5apyfszeS1lZpvVNF3Uj7YDLjSzVjWdD6M82tdECM2k3cXMJteUec/ktzAwHRdAqjkfNAe2M7OlzWw9pFmvEUAafcOOwOFm1qaGY+EPT7+Vme1tZuvX5P2etoGZ9QYeN7NFajKefOwvDmxlZhcB5wG/1yC9eVu+AhwAjAN2yK6z1chnLeAkYNcQwvfVXd8z/WgDM9vJBLZXGxjK5DHazFYzafj/qMEnLAosa2YPAKcC79YgbdwPVgbWAWZW9/3J/B1COAh4ArjWzHrN4Xy0NnCACWCqFmXqbzczO8vMDjSzxaqbR0JRPlOB201Kixp9g5+vYnNouejpBwIT/LzKOSHz7unABcAVJl6nJu9N1pURZrazmU2ozXfMb2TzyTEvUwEmFFRQGcqZqK90YaDa6c1sIvComZ1kQv+pyYIbLbZnmNkZfu+PmghjIYSfgB+AHZL01U1rZp2Ag4F1QwgPmzRxo2rw7kSQPwf4ErjGF6yaCBAjgRnAQcB/gM2tmpoMf/+a/v6/hBD+RQ3n5oTJCSE8B/wTabJm948q3p8wbLsiLVIfYGtgk+oyrxGYch3wKGLeLjez5av5CX2j83eBbc2sWQhhVnXf79+wGxKm9wZON7MO1Xx/zLD0Aa4AXqxJHzbXovn4+wvQkhqsYSYz5jWB7YDnzGycmV1jDsqU6o+Z+z8DLwD/ArYEqG4duvyzGHAIMCWE8KQzbztZNYGhCAi4GTgQuNrMWlbVDxPG1NN3QoDKdiGEx6vz3pzvaAisiPermoxlf35VYAqwaZC/e7XaMcM87wPcicbB1Oqkj9LuisbgSyGE32pS9kx+/0Zz2hFm1rSa88FPaAzOBE4ATgkhzJqDOtwO9eXjQgjfUXPN+qaoD/0KXGJmO9UgrYUQ/gghfAi8CGyU3K9G2iWBrUMIbwPNgC2AU0M14x5EfaCXmXUBXgOmorG9g5WxPssp34doLdgdBBhWZ06K+tFOaC78FbgLGF2db8jksTOysFgWeMvMetUgj4/QPDgCeDwBJ6s7r5oAoaHAvQjc/NaqCa5F69oOCAhqivicagMK/txawDHAw742V4ui+hsBbA68isD+C20OgG4vx5bAJK/HavNnnn434HygTU3fHdFIYH/Pt8p1JXr39sAk4DCgLbBVdV9oZg0jHu1C4BvgGmDrmqzPBf1vU9FRCiqoCnJGdRJwKNLMb1GDtIshxP9Y4DlgbWceqg0omEwXj0YCZHcze87TlwQUIsGtl5lt4M8fC3xlbhlQzXc3BX4BGgNrmNmZSBC535nRqtI3NLMWaJHeHPgWMX+31kSThTQwuwPdkKvABiGE/5o0Y1WVoRGwHrB3COEJr49rzWzr6rzYZMJ8jJmd6HV2OvA3M2vrv1enHvuifjMuhDACuBtYhZpZKIwCjgkhnAfsiBb+C8xsUBXvXgZpWy5z5vdx1BenV7f8/twIYH3EMHdEzNaXVk2tagSKXYzq8GfgpaoYFnMNiff3TqTC+PNVMVzxt4UQfgcCEuCuQ8JwAA41s8Z5/TEjvPYEfgohTAQ2Bqaa2d7+2wgTSFKOGoUQvgEeAg4xs8uBXYChwDSrhs+2t+WxaDz9F2l3Y4ulPLPpTsDulgJXjYGvQgjP+O+N4//VoAZe7y8BG5nZiGqAGRadNwOWAroCG4IY5+oKH57HCsBKCBA4A9innDAczYcNfE6eiATxf5rZZma2n5mtUtX7k75qZl1d+CCEcBSa01aKnylVBqfPkCA7C6gEJJWrC/+GhVD/PRz43QWZe83s4Kq+wfNYHRgDbBVCOAuN6WPNbFoV6ZJytY1uP4Das1rgKgr8/YDP3deheX2YScPfyt9TEiiOAPqrgHMRMNkb2AZYA9jVciwUMmN5STMbFEL4K6qHRczsNM+/SqDeRJ3QHL4WEqZfAu6pxvfHeSyNNNFjgJ+AZ4GP42fy0mVunQRsAPxoZkeaWSv/hlygNzMn/hFCeBlZd6xlZgNDCL/VYE1YFtgHOCyEMAy1yX1WDUDBeQMDNkUA9Ytmtp6ZnWwSjqvz/s2QouPQEMIlwPFoXJ1rZu2rSBvPSQ3RmjYUtWfSD6pbD2OBbYFRIYTPvH91r6ofRekb+TvPAz4wsy2yZcw838/X0oRaoLlwMvAbsI2ZNTazkvGRzN2jfO5tjda0jYGPUB+8pSZKp4L+t6kAEwoqKEM5E3hzpEWbjJi/KT5Rl/VVNbMVEYPzXQjhZqRFuxBYzcz2gKqZL2c2dgGuCyHcEEJYB/jczJ7y9H9knm/hzEQwaa1HIt/uM0wazQ9xV4VqvLsvsgT4CTgFGA88FELY0L9rgFUtSIYQwo/AG57mZGDjEMI/zGyqlTDHi5j/3s5YtgSuREzP+BDCp552eh7jGOWzBGJenwAuNbM7kQboaWDvUott9P4BQC/EtPZBjNtBSBM3IfnAUukj+i/SwiWC/2XAwsBeSEAvSRFT1Ai1J65NvQ+BM2eaWb8S5V8ZaX0mIW12B2TZsAQu/JTqBznfMMvfuT1ivLbxtMPLMf+Z/DYGLgshnB9CWAVpaJ8pI4C1AfYwB26QRcBfgTcs8g81sw55jJePg1FmtrULD7sjIGOvEMLhCJhoQ0XhaHZ5I+FjL+Am4E0z2zqE8B4al1PN7GbUL0q6LJi0sXe4AHIt8DBwfghhMrKyaE31NGF/IJPwrsC6wJZB5tkrWwlABPgeARhtzaxDCOET4FdzVyEXHkYjjV5ZQMEEmMwws85BJubHAqt6W5QUoqN67AQs5EzzDGBJM9vIy1FdcHUlNB4/DSG8G0J4BM0tu3o7lXw/sJgDOu8icPhKpNVdBli5zDtbmllrFzBWREDENDO73MyGIWZ+mH9HJQY8UwftQgjvhRBWQPPZJWa2ln//CpbjMhDXiwuAPwO3AVcji6tGwJFIIKwkREXzQZLPssjlbbh/10tIoD3PzLbNSd/UZMkUTIFknzazQ02WdncAK5vZJqXqz/MYZGaHhBBeA/6NrCLWCiFcCDyFQPdVvA0PLLW2+Jw9AwGqO6Hxswda1/ZBFgqVTN2j+t8PrcOXmsDxpZDFXj8zu8CfzW3DOK8QwufABwjM2AxY0wWz6V5HeWWvkAfwBbJQORDN0eO8j21nZovl9YPoO3YzASDHISDjcaAVAg53AvayHLeLKP3W3obbApeifnSDmQ2owZrwDwRM/+R5Hwy8BTxlZl2r4DGW8N+fQW3/ILACWmcGmsfiqOL9bwM9Sdfi/0PuHv8ETq3mnNQVzb9XADsD65vcOkvOSTn3vkfjcQczOxqtFUcCVVoOmixD9jSzzf3W47gbYgneojFSjowzxf8BaA88BqwQQhgfBJxvh0CFSiC118vRJn6IEML3qC73Rf1gPefRNrcaWKEW9D9MIYTiKI7i8AOw6Lyn/z8BMQ3XR7/tiITKRiXyWRV4H0Wb/jsw0u83RkL5HUDXKsrSDJkR34aYxn7Rb/chE91smhWRsLIlWuR7AgshJutQ4HPgK4Sgl60DpK0629MtEv2+OmIYxlSRfmlk9tcImaF+Dgzx35YB3gRWK1OOCchHvZ9fX4mYzmb+29sIWCiVviNiknbwMowA+vhvXRET17ZM+rX9HcP8uiEw0PN7DYFD3aroQ/2RAJ+0wb7AQP9tmpevXZkydEWxKkYjZvk54Cj/bWXEFJ8HbJ6TdnnEGGyXub86sCvwNTC1GuNglPejxb0+Xo9+m4a7HFRzfJ0WvxMxTR8hM9sGOc+3RcDHEgjAaYCYrb2jZxLhslVOHxyKALQrvP/sET0zGXgdue+UK/MoZMLcGFgNmdNOidrnYKBvNb79OsRkdojurQa8gkxry6Xt5HXQFWm1P0VCOQhguiHON+qvjZP6QPPCxd4fx3qdXYMY0zeAtasYzx0R038c0qDuikDGy4Fm2X6Tk88+yCLnaSREd0PavPMQKFLlnBzdOwh4BBiQ9Bs0vl8E2pTIZzfg3mhsrAd09+upaJ5tUiLtct7vtkXjfmmv0+ORWfJbyN1h1SrG0t7Ak97vhvq9zZAm8HR/R8cydTEVzcn7oLmlJ9DCfxvt6VuVeX/v6PnN0PwzDh+/yEqiXza999Pt0JjZx+t6TaSJPwn17dP9+bxx3ACtTbcAB0X99myvP0OWa2cBLwODSvUFBBQ8Gt1rjQDTnf164UyaZtH5AAQsN0Dz6Y5e/k4INL4DaF/FWBwIDPDz/ZHbUzKnb+xt2zOvDqLzDRB409rL89fot029j5TrB1NQ/18UAcoH+DeNBE70MixVJv0eCNDcCI2Z3aLv+TzbB3L6UTskwDZEIMBW0W/beN65/I2Xc2EEKG3n91YElozOX8x+f+b9K6Ix2BzNie8Ce0a/t6+qHf25/dB4fghZ6nVH4+I2pPQoOx+hWClLeDscjSwzVvX6ORfYsFQdROdLI1DsITSfTvM2WL1MudsjXuI0f19z7zPnozEyFc1J/cvk0RaN2+v8ehO0Dqzh14PQel+yHAvCMWjI0PDPf/86XxzAi/VdXyX7U30XoDiKY148fGG5yCfpFogBvtgXwu3LTdSkDMsqfr03EpZG+HVjSgixpIx7PyQodkIM45XAnrgw7M8Mi84XJxV6r0Xo/gY5+a6LmNaEechj/PpG56sj5uRwX7QXR8LUxCrqbw3EKL6HhI+E8b4NuB4xC+uUSb8UAhtWyNy/EglkD1AGSIie3wbFutgGB0SQEPEmQt9LpeuOgItl/bph5vdBXpZly+Sxr7f7X5Dwsympu8rZiAGqJIRSkVnphBieM70tOiFm+wYkUC6DwJ4DcvKZggCtGUQMdaZtDy/1br/eA3geMdoNkSnldf49uyCN2NJVtMEgXIhBAMi/cAbFr49DDN1mUZqmpIJwe8QcXYuAg87A35DgcSACdtYt0QevIB0XayFm6wC/3gtpAit9d2YsX4/Au2QMreZtsEuZb06e7QWsHN2/xPtEBz9OxoGEnLpP8lgBCTmHeb1sgOajyWg8v0pmLAFNkKazI+rveyELjBvQOOyF5pUzPN+q6mEdT9vbr0ciQeRBpJU8qoo+MIlUkL8EBcAECXS7oP7dqlQ9+vnGCBDYGM0nByDhdEl8fJLTz/3+DggAScrfPMkfjZM3cYEwk65zlOZSZBkyOfNMUySQX0EKMuUBIKO9H7VBc8MLSd8gBW7LMf+7IKui1dDcdGT0225IEFimTPqd/Z3Xo/HW0L/9Eu9HlQBBpD0GgdoPAP9HZu5HIMCpwHfkgACZNtwUCZq7+vVwJHTtg9bFBkDrEuNgZXxNQ2vAuZl56nQ/T/qCIcDl6ujekmjsJt/V1r8rEWorKQcy5d8HzdsPA6f5vfPQnHgbmg9LCvH+/L7efonw3AkpK87z40UycyqyJFkquj4ezas7ep9qknm+dZn3LwSc4ee7o/moaZIH4n0qgSFR+j0RuPooEoKHeZ2eiObk54EuZdInbbEKUmxsn9xHAMs7wIQq3v8MKS8xFvEmbwIHlqv7TD4TgPv9/GbgWj9fGPELNyCLyFJzYsLXPYUA5UWj39ZFY613Jk0L0rlnNbSujfLrBv5teyKg//Dkfvw/ymsx74/nIHBvUaR8ucr7Z6X5LOcb2qA59FK/PtLT3+l9uSzIvSAcBZhQN0e9F6A4imNeO5BW/1kc2fZJvg1wK2JMHio3USOk+D3goujeHkiIHFUmXcI0jQduRKjw+UiD1w+Zxh9IvgC6HRLAF0LI+nm+yHXLeXaELxZN4vf6eTP/vtOje2OQBuo4r4f22XSZ/JdHyPoaSJN3ASnj1Q/XKlSRxzgqWoJkmaWFc9Ik9bcMsG90f3MEBG2NBNONcCCizPvbI2aiHbJqSBigjtEz1wAzSqRfA3jAz28GrvDzJRATsT0ZRiOTfiVSy5glEIN3FmLcGpJqREYgLVT/6Pv7ejs1RAL0I0hYaZR5R9Inm0T3Fo7Ol0NCa2yV0sbvn4+bqZcof8IAjUKmvDcicK6rl+V97xefI23oYbh2y+t7FOrHk5ArwgDUxy9DwnVbr5P9cOuWbFt6+j9wSwjEGI5BzNJe5cZg5t66SHiZQqrBXQtpglpnnm0SfXsXpDE9iQgUQ8LLS95+LUq9N5oLHkfAYuJa0dPr8A4kiOX2ZcQQv4mEnwQsaO3fciIy+a/OfLgssp5YPue3RVFfPgsHf/z+QDQHNYrG88belveTzj29yBEgc96zG5qTD/P2ux317wO9PgeUSdsQMckrovEz3etkKrKMOZ4S8zmyvhiChK0tEejxOTljFwEsM8kHRYZ4vV8a3ZuOLI2S/psFLPvjAorX0QwkjEzzOmyEBPD2qF/3z6RvE52PQKBTd7RGXIz6ryHh9oykL8ZjGFnl9fPzy7zP7U8OGO7fc3SZdtgbWaZcjwTRxEJhFQTE7Fsm7Tg0Z4zy657+DQ8jjer7lNCgojl8daCHX5/i7ZoACgcRWSyVmg/Q2ng4mnuaIYXC6f5bd2//JXLy6A4sHo2Lx/28ORrHk7wdN0CB83rlzCmTEZC/WFTm+xBPkoCuh+Pa+Uy5s/NCE8THPIGPI7+/Pa7wKNMOG6Px1gDN5w/6/QFovj2U8mNxAJrTWvn18igw9NSoDKNz5phkHumB5oGW3g6r+zf0AwYjIGaREu9umrleA42lA7wum0Z9qyGVLVxia4K1ScHR8xG4kqy/6yCXg2Uy6RdBipyx/u5P0bz0DbB73FYolszrUb9pGuWzkfeVBJDfGwGRK0bPVJqDMvl3xecLr9/rgQv9egk0JgfGaRbUowAT6uao9wIUR3HMK0c00Z6CWwH4QvMAcHb0XMsS6dqSCtorI03qYdFz+5LPkMeL1ADkEz7IF6zDfbFaAoEF11BCa+CLwnnIdxMk/L/gC+8qpBrZ0f6OxRBTNMXvD/XFtR9i9o6L8j4faeL7lKq/6NmxKEI5iHFZBjHZJ1Fac2iZ/32Q5iG2vlgNCVMNM3XWnNTMujdiMO4GpkfPHIiEsW2JTL9z3t8IMditkdZhdPTMSkg4XMTr7WZS7VIW7FjV+84+nk9ikj6oGv2vLdIivoWDQUgwvQoxPRP9Xk9vl2WiPMYhQfUIxGgvhISme/23RtGz2xAxfojpPS2qnwGoDy9ERVPhSkBOib48AglAg73801H/7YEEoKUQUDYSCauJO4t5mkeQT+5ov98JMZsXk6O5iuqvPSljuAHwI6lVUAsEBFRlTbGL1+FJqL9tgQSuKaSMcPNMmkaoj26IGOa9vA6OQkxjooUe721blQZzMW+3hGlcCwFc+1NZQIj7cgJmtEJj6FnvK4lGrDUCE8+lhFl/Ju/1UXyH5Bsbehs1j555BgdMkKCxJNLkn+FpVkf98taofLui/rxQzjv74EKVv+86IuYWaeOO8+ujgE55dRHd2wpp7u9E/X4zf/fClHBVi9ImwGLionWo98uWSODf3++P8ne0yWmf1mhNuY1I24fAsJlojMVt2Aj1vbakwMvJaA67M3puByRoZt/XA2lLk3EwBDgn88xNuGsLJYAlL0cP4OKoXc7EQQNkuZG0+15ovsir/8W9j7T2PFf09ycWciviglO2X6P59jYyLiQI4DkMCVNrlZkPmqB56E00h4zyun0Yra8fkw/Qx3PZLl7e+/E53PN9HbipTN9ZBPXPhf27F0Vr8iWka+oXuDBZRT/si4TUpdH8+FfEIyyMhPxXKW/ZMoK0D4/x9tjEr7dGFgE9M2myAvhYz2d/KoKCuW5e3kbt/Lyt1/eVaC5L5tEtybH4ifrbgWi9NbRevEA6h7RG/Nq2fl2Kv2iJlArdkLC/pdfBTDTHJt+xJwInmmXSDwQOia7HIBDrMK+HeM1sQgkXC3/+fAS+Juv4UGStt1Pm2RuQ9UQ/ZO2xMLIy+yvqz+8AR0TlvpSU9yvnbrY2Wn9e8jQrojnuesr05QX1GDRkaPjy37/NFwcFmFAcxTFvHmQYOP8/3BfmBxETsRwSgjqVyWddZAnwItL6rYwEyqspr63pggT4ZDFaBbg7+n0IYnovQmbRpXx6l0dM9/5I2EqEpxOQUPYWbtaPgInYlWFfZKL6Bila3RcBCucgIfppIsG+ijpdDpmhj4zunY3M/aeXSTcaacu3jMp+JDKlHOGL56icdCOR5nZDXxD7IuHlJlJNzWDENJTTmkxEAMEMxMSs4f3gUMSwvktk4kuq0WmJhP8l0GK/M2L4HkVa5aRtpyPNXvMyZRiDLFIW8XI8Q6pRm4IAhaSNGhBpE73MLyJQYE+k9Wztv01FjFNJbbS/sw1iLlZAwuwjwHLRM5t7fVTqh0iw2I2UMbsHbeOZaFd7+e83k/bPnkjAHJR8k/9vigChOzxNosFPgJaL8B0l4nHsbXift/VB/g3rILPR1eN3lKmHad52XZEJ/x5e11sj7ezmiLHNCnANkOY7AUFGRWP4KC/z0UgjvFzOe/shBrVLdO9CHEDz661QDJYt874lqodVkdDcEgFad+GaKwQytKKMX3pOn7yeisLVil7XTb0NP0X9Lp5PN/S2ONKvj/W23hCNp9fJsWxBAsLuqD8m/fchtJ1gPObPySt/9MxuSPC91PtKZ1JQb5S3Q1XuZolm8BRkDpxYVM1ApumzY02g8dcnUwfboP6amNHv43nFgMIimXf3JAWlEyugNgh8u4cUvNgazRV5gnAXr8fB3hc6odgkY6JnTqdErIro+xsgAfg+4BK/t6zX663IImB5v79nifZs6uV/izRmTUs0Ft7HXR6qaMtrkBBkpGOhKxlrjpx0y5P6hJ+A1rHEx31zBGiVBcjR2nMvAm7+gtbY2SCy59mJEgAfAoqWxU3h0RxxNumctwlag7Pp+6C1d3XcysT7z20I4FkT9cmbEK9SLkbCTqivvowArFX8va+isf1atu2Q8LqG96VN0TwwFQmzN0bPTUPrUgsyoCbipaag8Xy157kPmtfG+nNDPX0uIOR1NgjvuwiIuSDqB0ehXY6gxNzubbCB97d3o/vnIQB9OzROK81JXoYeyMJlKFJerIyE8dtI16ydvR2yIHNT0nlkEQSOPIKAhWR+G4Z2BEnAta6Inxzs1xchEOUs0r7XGs1BO6DxtDs5IAbRGEHg530I9GjodXcKWifboDE9pKrxuCAdBZhQN0e9F6A4iqO+jszCtzVa7BOBuw2pULQuWnQXLZFPLyS4DUAamFMQs9keMb03k28W2x4x5UN9oWqNFuSHcT9Cf+5oJMRMR9qNvDgHfyG1BjgQAQrD/XogKRPXMPv9vsC9hfaZjvPsgIS5OygRXyDKYzhi3hMt1RYIsV8XMXRPISH02BL5rISYlH2QGfH+pD691yFmsmScBqRx/JHU5LsVYsKe8fp/lxIBI/353l7vOyHG7mEESiyDNG7HU8Kc3u9tiATWt3FB09vtZG+PnRDDVonhi+pwMGJGklgbjbzOPvX0b+PauRJ9oBuyhhiH+mPi650I7iXBsCiPtkjQuw8xkesigOJoZOnyDqVdGxbx+lqC1FLkUdzdI6rnPaio3WuZqYe1EYPUGDG9Z+NaIX/HmkDnbD0g5vtdr8fx3pfO87bY1vvHInl1F7cFErI6IUHjHiqamG5IjgY1+r0NEi7uQkx2Mof0RBr+C8iJ9eHvPQVt63Ud0ugnINX+pAFcB3qdvknpmC0TEJM5Mrq3u3/LXijyeC6oRkUwYgIa1w3QHHA6ms9WR2N1RJSufSaffRAAcIH/P8Hv74yse87NK3/0/qb+rSegeWgkEoaT+BLbIAGvggAT5ZMENOuO+m/sX78XEqpKxheI+uGN+LhB/f82UmZ+aKk28N93RKbkyyPN6yTS8XUROe4paN66Aq0f3ZEgdae/uwfS6N7v/es5Kgs+8XhogKxrLkfCySjko743mpNeJkeQjtpgAloTm3g5bgIu9986oP4dW25VEuz9nYlP/P5I+O0W1c/R+FjOeX9rHOzx5/YmFcqWRWteqbTJ/wFIcG3t16ejtahHmXbrRxpfZzwKFJi4CY0mndPLxaeI27S5l/cGNA5bZ/rIGzntOMHb51a0JvwNza3NUP+9k9RyZ2EyvEnm/QuhmBbN0Px7ERqfPbxdu5IvhLZFc+CjaD5J5unLSPv1Xl7+Um5CvVBf/SewQ3R/PwTyXYHmkuXjcqNxnbyvDer/l6F5qT8Sql9A611u7KGcelgdraUPkQbQbIPA2mROGphJ3zRTH+d6fzIEBtyFgJb9KA2OjkDrz15obl8Y8UoXIUuPxEJjWVLApAlaxw6N8jkCxSyZEN1bk0yskMy72yEQtwkaT+d6fS0T1fP9uAUtVVhpLYhHASbUzVHvBSiO4qjvAzG4T/nE/h+k0WyPhJmtkAAVBz+KF5gWCEB4lFQD2w4JFIkfYCUfPl8Q30XC2mKI0T/dF6z1kRB0CmLGXkOL/zXRYpvVSC7l6ZMF+GCkCVijxDfHJqAN/FtPQgx7wsC19v8LxWly8hrndbSn/5+OzJzX83q9D2nqJyLmKGvSuzRiDhKTyyUQoHBw9EzLUmVAC/sRiNm9l0j7jpjerYmC4OWkH4YY8138emFkTv9QFenibxiCAKe3SJm8Dt6+xyFrlSyjkgiaidZ9C+Q/ukPmue0RszO2RDm6IuCjBRIyv4zyHIGYhc6lviPKZ4TX1UIIULnD22IIEu4Pp4QWj4pBz25D/Tf5vplUtLYp2Z+QwPUKqQloI8TAn4WEh7dIGaEuSGhMLIqGAXdFeSXBExMQqFIdkA/KnOX99PqorPtTOjJ3MpYSf+aGCCS8ANgvmhO6ZtNk8hmDtOW9kKntMYjhvBiBC9fipshobkjcPzqQmhK3Q3PRUn49HM1vzZFwfEipfhSVY6K3wZ4IVNvG2+EUpBW8h1QQzqu/1mjsJPWxNDJtPoxUi5cX6K41qavLQC/v6d7vOns/+LvXx1tE44mKY7EBmoPaIgb+bi9/UzTPjaaK3TcQY/8WkR+y3z8Kub2VEyQb+Ldc6WWoECQPgUS7Unn3jaRuuiNB6xA0FtsgIfwYtFaY/29TZj5KgIsepOBFZzSWD0QCcTkrrdFo3YnBgsS3+qbse6ksxCf/pyKBcUtv0/2AT9Ba8ykl4sZ4+Z9E68cMNDfd5HldgIDVdcuUv3N0fgVwTXR9HhojjTJ1Zt4/TqVinJgngOei61HIWmRvtH6WMymfSgqkrYI08NPRGO+K1qulMmnGItekkdG9w72+knG9B7J6y7NwygaMvBStC3393mDvD8eRA6pk0q+NgIBziIAzBPIdj4CqSv0ok8cBaO7ehyhgMQIIJ5OJdYH6/PoIODscrZ1N0PxxNgIFGiFrgi3J2XkipwzJPN7S091FCswnO7NkY5a0InWNmIgUG0t7XZzuz2yL+udZVI5Z0gnxeS3QnPklMC36fT/UlydRMVbR7DGExtyypFZux3rfSHiMPdD81pj8NWUJ72tdEJA+EM1Lh0T9YTPvC2Ut9hbUY9CQoeHL//w2XxwUYEJxFMe8d/hk3Ruh/IsipvsZxAgfg5iv5YgCIiFGcWOfgJfzhaUnYlA2JBXEt6eEST9iFt8k2rIPMX63IQalH2L6rvWJfyhiRO7z8iZm7qNItdjNEbN1QJTnYZTXhK+NFucTksUMmfx95L+9SGlmL8mjoy+UPdEi/5GXez/S6NyN/bf3qAjKJHlsh5jGE0jNe5dAGtRT4mdz0vagYlDEs4CH/bwX1YhGjIS/h5N0fi/RCj+BGPcso1HJPSb6lldJLTSGki9w9UealmuQsD3G37kNElbWzpYx893J/5W8X5yP+vAIZEJ5MGLUXqHMrhmZd2yJBKiWpFtZ3oKbWpYbR/5/IGJY2nlfPIVUgHoBeCivLaN8mnnfWRIxYKshkKib39uXyBTW3zMYgXmLeJpHqKgBO43UdLRhqfcjQGxYVIf/JR1bmyCtU0lzaKRJfByZf+/j99ZCWqxrkGBWth49zW24Nsr7wufeJqegsdodjfv3/dwQg9mXVBg9g9Qq4BqkXb8qWwcl6qELGs9dEJD6kvev3aNnSmpB/XoxNL/FWrY90fg/vtR4RnPcPgiwSILULYeEiRneNu3RmF8iShtr46ehuedi1Pevjb55V3z7wJzv7kHks41AtXOjssVBSo8k4/JFxfkgsco5zctxM6kwkxs3J5PXVkgb/Q0S+hdFgMJfvE1Lbmfr6fdCYHYCzHRDAt352XKXyeNUUleaOLDmYmhOKGsKTRSTBM0r5/p3NUCm8xMpDUwOQGvPELQO3OT11h6NzS3IaLKz70Zgwb5+3dLbYVz0TElzcLQeLIcE7iTmxBN45H+/XjUvj0x+26JxH+/ANBzN+wfgWwZn0iyKrFgS15k4Vs0RSIvfkjTwabldE0ajGAur+zufJA06mbhaLJZJkxd7pQ9SsJxAau3Y0dsyTxseW4W09b7bEc1hR6K5pQcVwZLsfLA6mvc+oGIsliMQz7V63rtLfMc+aE67Hwd0kRB+Pxpfd+bUQzKGE9eI96L+kQSXPTXqH1n+oAECumd6PWyNxu++VHQbPMz7Wbu47JnyH4VAm5X8+iQv0zlobq8EbFJxzC6MQJlbvS2GID7pHmQpU3b3jAX9KMCEujnqvQDFURx/5pFdtPxeYhL/qF8PB35BWoU8DVp7JDR/SWout71P7mcigfJjSlsFbEO6NVPiZ70+AhKeQUxvItw3RKZsr/lzUxDY0MgXutd8oRhPaiFRNrCb5zvO0w5Ei/bdpP7AhyANVF6Qu5akZqrLIaCgC7KMeAEJdOsgk/+9SLfW3JkowJ7/XzzKdx2ktVmfVKO5BOX3Wl4bmVjegBiCFl5f5yFh5s28Noje35tUy90A31Yp86152ux4od+bNMp5wqjtgpigo709sibg/bzud/B+tzNiDrZDzPpWSDO9bhVtOBYJDTO8DQ9GjMsApI07mtQvtZz2bKHo/HTE6Brq5wchgaxZFXlM9G9KGL/2SIg6hZThWrGK72mMmKOr/ftPRuPh7MxzDUnjUDTwZ09HjOu6SGg6Awke7+FMWJk23BIFQTsPCS7dvB++4N/+OOX9kVf3fri0t8VXpNrIAWh8jqvi25M+uRxiHgeh/jsVCV+Hef5J31kq8w3dkHDQFYGgRyOgyVD8i8uoOtDg8t6OvT3Nq57vFkibXMkvOVOGoaQWEpsjrWsSdHIK0n6VizvTEgmq3+JWXUm/QVrQk6hs3ROXZRXS6PKLoTn6YL/ehhLxBfz3pb3uEzB4dQTktovaZgRlAv1F35kIsYcDP5NarG2MAI5y2+6t6fXeBAmsVyABaiEkQF5B5fmkC6kl0rJoTmgUXfdBlhJHIICjgmVYThkaIAFn72Rc+v+l0DxQVT/qggDRPaN7U9F42oGcHVCi82akcVSSgKFt0FjYptzYia4bIYHpbjQPnI7Gw9QyZV6M1IViRVJrwRNJAdGHgGerGsPJN6F5KLGKiq0ZV0agUCm3yQloPlksJ+2jwFA/Lwdwj0Da9zho4PEIXOiczTcn/c4IgDkCAZUdEGh5LOJz7s62Yyav8WieOgrNoV3Q3HQyGlffkIl/lHl/A3/P7Wgujq26TkDrSsnYQ9GzqyGAuY/3gc9wAAa5J8wOopyUwZ9NdqxY2dM8RMq/NETz8MVIKDfyFQYdEGhxB+Kz2vn3H4nm1c6I1+xdog7W9b5oyN3xItL59ETkBpMHijVB/NQyCGyf7u8/FvFYrf36em+L9fPG0f/KUYAJdXPUewGKozj+rCMzUU9CDM5gJMSMJN1zeAISKnJNwxHDcxfSVsYM00jSPdNHlynHSKSJXwuZIF6HGN0TkIb8WbTwJwzhFqQxDxZCjM4FuIYOWUS8iDR6L+HuAuXqwRfBZRGo8KyX4wlS4bp5ts78ug8Sug/xMicAxJrAfX6+tD8TL9JZxifZ8u5YBJ4Y2vLocqQJbhuXN3vui+ybaEHeFPgVMR4JCLMOZTSA/vsLiGk9Cy3uDRCTdHM1+9NuiFFpThodOTFD3djrdEAmTW/EKG6YuT/J80h8c6cijfBsYSanDW8lZQQGISH8NMrstpCTz3jEmOzo16vh23j6dXtKML3RM0t7WyR9tJsfyTg5o9Q3+P8VvP8s73W5PanmcUnPIxHImqLxuQhitrZD5qS3e5/shZioK71dK1mmZPpTJzRmu6Kxtau/r4dft6ey8BZrfdp4eZZE4M4z/h1v4oBC3nvL1GV7NHZ+pqJJbLxzQtY8fiUkeN7t7R9rudZETOc61WjD50mDfU7C92xHY+VkMibVVBY+3kHz2nZI8NwagTTnI/eESubI2TpBVhdHIsuw9aP7o/Ft+aJ7/RF4szASVh70ukv83Qf6t1+B5pqy+657e7+KtHVN0Bqwl9fhisgtbXiZ9LujOSXeIeV4JNxf431j6Sq+fz0q7tYwDIEi5+AuDpnnl0DazlZo/hri7TgFt9JCrlNLEW0tWGIc9iIVYFdAZvXrRH3s/bw6RH1/ISruIjIWCWq7Rs/dh+aC1tG9RggUnoQEtxmkVnkrk4IkOxMF4CzRB6d4fW/g1y0QwHUWCqT6BTkxNtBcmrglHQ98GI3F26hoYXUnkWBbohy7ep85HvXjeOyOJ4rHVKYvjUNWCElfTgCd27N9KCdtJ2+Dc73fxVYiZ3k7NMzWQ/TMbgi0WAkJ1TPRnLYYsra4jvJuPoMRkNANuYe9hYTxHl7/I8m4D2bqb2kELDZGwvZ1CAxs6H2jB1UETvXzVb2+jozuHYn6deIm0DiTPunDbZG1YHs0F2yL1oVEmF8Gjc12VZShHbKMuAPxTl0QKHolsrxctcR37IXGcaKsMlKLq1FJ3jnpEouK1RB/+hnputwT8VtXeFsO8rIcSs4W4v8rRwEm1M1R7wUojuL4sw+EFj+BhI83kDDQGTG9yc4H/TJpEoarK2IGmiNG7nFghv/WmxxGI+f9zb0MryKGdVUkHA1BgEIfXPvgzzcjDfrVHTFqRyAGc+nomT0QEzA+876FgI39fHnE0DTyhW0maQCgT5AAXEkY9fcmZnYHokBxMZCysOd1N2K6S2rEEZP4FkL3kyjFxyJmYXPEPCye/YbofHFSE/c1ERjSzt//LFULvysgBn8xxDh9jgCgHoghf4icSPdogU5M0BsgRrETsk64EQnln5Buv5Vn1bIuYu6T4IixYLoNEn5aoT5Wac9yf25t7yNHIEYgYbhXRczDbnn1ntceqN9v4eW/yfvGB1RjqzJP3wdpTC/19x6KBJhHEEO8GGVMq1FffhMx7C9RcQvWddH4nJRJs4s/+w6uKfZ2uAtp8JP4GpXcGjLnuyMm721SBm0Rz/8JciwpEIM7Bgm3o9CYa4+Y5JtwSxhk5fAxskyokcYHacifwd13SBncPO3XADQHLeFluw4JDF2QafFZpAJhqT4x1Ms+I7o3AQkzByIhrOT+8whsuBYBPRORELML6scDkcVAVb7Z66PxlWhd90GC5+rIXWdDoi150fgb7e86CDHb63t7rkca/b4FmhvbVHM8jETA7CZIoDgeWT7dk+2HmXQdSN3lFkFj6lI8VgYSuMvuBhTlc6XXRSIYnIWEwlKa7FZoLtzVrw/1dyda8WPx7X/LvH+S97nLEGjTEWm3P0GuOq+Rcb3ydO2RFd89aA6NYw2shYS5w5EV3f1kzPLRnN8fjef/I13P9kOa030QKPVh8j0lyr8TArImIeDqKCq6F6xGPgjQH9jCzy9GoMP46Pd2CBS5kOpto7quP9/Vv/80//ZmCCx/rFw/yOSVBRS2QrF9SrpXoDX1dlK3uXPROhUDCllwdACwh583R4BOCzS33Yvm9ZmkgnSjTPqmpPGVFkXr6wDS7WAHeN0+TcbVi8rjb7q34ylofWuB5tmrvW9+ldeOOfXQ2b//bDQnDol+OxnxKI2paNm0lLdP7PL5DfmuEbeQA2iQ8om90fyxEOrj+6G5qbffG06OxZynHYTGYiM/1iDto4ejeTFvO92FEfA40uvtU88ncU0x1C9PAm7wexO8f5Tc5WlBPwYNGRq++s9v88VBASYUR3HMG4dPplf7+U54pHlfWJbwBTA30rNPvK8hge8Ef3YgMl292hfOsv6wmfyyvsejkDCc9d8bgBD+M5CQ0xYxDQcioWW2/ygpA5pdpM9AjGGsPV8MafNG+nfcipupZ9L2RwLXDr5grYyYvPeIgrkhgW5dcrR30SK7BDIrXxIBAS8h5v8uZAbdiPz9xscjxn5NxBx08Psn4YIv0h68S+WAVrGZaGsvw3Ke1wuI+bnXy1BSe4kYgZ+Ag/y6kX/H49EzHyJGoyTjiQKyvU/FXRsaIGbmdsqYESMw6HnE6K+D/DbXjMr3kNdBScbbn52GGLbdSd0zDkDAyP95fVRiWDJ5DEfgxUpoLD3h7d/b+8r2VaRvhgSwJEJ/Q3xs+fX5RBHvoz7UGjGcTyChJ+nznf37TypXh/7s+v7ugciX9XxS951FkWVIVvBJ/N5XRsz156RjrzkSODZGQsCNVLHlXJmyNUbM98aU3urM0Lj8d9If/X4LZMp6AQIUci2MMnl18fa+hcjqwdtye8pbWbVH88bz0b0JXp/7UWbni+j53ZGgsQdi5tf179sDadH+TkVtfzZGwo3+rCErpas8j0qBb0u8fyUEVgzz61XRPL959Ezi/lAhZkkmnwvQ+L8KzVXnIwGi3FyQ5PccMNPPd0NC4AmkwlWPvHTR9SYImN2aijFcNkdzd68yZVje398OzcFvoXmlgx89iTSkmbQtkDXZMQjEeM7bJKnLIaSBcXM16v6OFxEoFscR2tj70GX4HFcifW9S8+2dvQxXInC3nHtSA9S/L0Xgz1pIc/0Xr5PEGqGdP9OhVF7+3BJojb3Rrxt5+12MANanqWIHkZw8xyFAdSdPn13b8sDhbb0+Vvc6OQut/3lWJQkIdylpAOKFkOb9UTRHd/E6vRvNc9mglaO8/+3gfXARv38E6e5YByIeqRJ/EeW1ofeBZgjAexqNgxbeB9ehRAynTD4JoDLWy3s2AtRiQKFtJk1iBXoTstxIAOkjEJha0jUi5/3jvc2OQZYtrf3+Pmh9KhdvpZG32U1oXjvb++OjpIBPyZgp3k++QutaEwSu3RO1QzfUt2OgrUp3kQX5KMCEujnqvQDFURxz88hZbJNtkm5BDE6ivdyCMoi3L64PIU1sN18YjkcMRCfEhJX076+ijI1JfQzz4hS08DL/DBwX3V+KlNkqBQIke5J3Q5rSN6PfWyFm527EBOVtWdcJmcttlfPbBggJXwUx4GeX+L6EYV4DMdxLIIbhCtJgktf7kbUIWTQ6fxIJT6tE97bzfPZE2vBKCzUKlrmDv/9JUhPKo0kR/928HqraraA3im6dbFXYFjEXayFG43yge1V9kRRQWDm6t7rn1Trbb/33jkiIvcCvmyIm7RLvy+8g64qDcVPfEuWYggTxvsB3+I4D/lszxICUjPTuzw1AQk4c1CwxxV3O+0zJrTijtrmIioG4hgAX+3nsSz0bSPD/C/u330a6F3dTb4+hee+KzvsgEOuk5D1IILoQ92en8m4p/RGI1d/b4V0EPm0YPTMVjcWXKbHzQw3mhOUos5NI9NyFiHnM7jBzI6W3a4tdhUaQBry8A1l2VDKfLVGPjaKyPoDHVPB76yFf9bICPRLk70WC3bGIaX40qT8kmOQCEqRj/gbP40DvU5t4v1ibMiCK5zEKAWKno7Ewwe+vjMbnXjnfbZnv3JY0VsSmpODcaCTUNi7z/jiK+4O4iwOaT49GY7vSvvfR+bakLkqbIuFjGppDliVn28GcfjCG1OXtRf9/p5e90m4BOflsiIDllt6XrkBz5E6kMVSygQaTdy/qbbYQspD5C2kA0yWQcJwbfDdzr633pSTI66ooptHuZGIDZMc36vMXUFHwvQPNj3uitaOkm1bme9ZCwmcc86MVWn/nSPvr/fjXUu0YtX0y/y6B+Jnr0BhfBGnTc8e11/06XgdJsNo+CCQ0BEidRWWLhkXRetEPaew/BzZL6hcBGFegMfIGGSAlqrMGCEie6O29K+K1VkRj4nJKWOnl9QfEs2yDAJXRXv9nIMuZZbJp8B1OouvL0RyUAAplXSMy714OWdr19u/4DAExST/fn4o7WsTlmI7cG1qjsXAmqeJna6LdrXLeG2/5PRXNZXG8mgeQtc69pLEf/id3b8geBZhQN0e9F6A4imNuHZmJehdfrJohZuFxUu3Jlr4A5IIJvhif4gtKsttAV8RwbF/qndUsY2MkjD+Eb4eXzQuZvC/ji8GpRIGoEMq8L5UZzgFIqNmPdI/hDgjxfjZ6rr/nX4rhHANcF12vjpjc/ZHGYiy+dRawUZnvXBFp2hItenNPtxsy63sq5xv6I6uPsUhQPBsxLVdEddMPCeY3UcIv3NN+CvyLyLQQMd3v+eL7Ijn+i5k+lAQS7IEYxsTlYV/EuOX6FGfyiwXkBFDo7XXwVrYPRM+2jN71KdHWfF6e1fz/Gv5NpXbhaO59eWlkNvsAvkUaVTAXmbpYFmk8b4juJQLB03ltEbVZL1JT0p2RNreNX6/lZWqZLQ8C3O5AGtBkW69DEQCzGzJJrfTdmXK3R2NuZyIXCsTM3owYuKwZbz80lqaRghmdvV9eTCrMtfB6bZN9b10cVAQBNic1CT/f2yJ2BaqqLdf2b9rV+90I0jntOKreMWAasgDZD2kNV0Sax9g/uUUVbZHMS50Q4Pc4GqtHI3BzSiZte1JtcXvE8CcuPmsiYWh3v96QMgKIPzMQzSnJFpvrIbAyGVvDKR8jYSvkqnYvEkBGkwp0eyHAKleA8vM1kLDaM7r3BBW3Ny1n1TAdzbvxDjmbozViN+/TlVwjon6U1c6eRmotdQKaZ3O33cvJ80QkwK+CxvNuCAgpF2hwXWSJ8hIy317B6+QOBMo9TcbdjIrb/o5HglLsJ/6cn09ACoOyljGo/z/o5bgf39ED8QjJLixDqshjS++zk70vj/R+MaVcupocZLTHVBagb0RrSdL/uniffAIBY2UBGbQGTEDgZOIuczMCFD6mcqyPAUS7DnmfuwnNq4mPflPP70Iy4HZmHLTOlONy0hg5VyGgrzoWTptGfaEjqcvkyojHOZH8OAMLId5oaPTey6kIKJyM1tUKrhE5eS2NlDxreL/u4G3zImXcLxHw9gw5sQuQ9czLlAGT/LmVSMGHbRGgsGI0Vm7lf3jXhlLHoCFDw9c//DZfHBRgQnEUR/0dSDvxPC7o+UJ4hk+u15GjvSFluJL/g3yxPJkUUJiOGO+G5RaYapSvMWkk6ewiPx5pQTsgxnsrX5w39IVrByprDBZDGuyEMcoGP0yCga2KNPUlF2okYDyCLDFuRFrAB5FVxr0InOlKGiE6W/5Eo38jMp8fHv22orfLTDJABNKMvOwLaYM4by//zX7eCTGRlcyPo3stkbb+LVIXBfNjB8Q0lV1kvd6PRxqClkjT9CWpJqc5ZcxgESjTNqeMOyLN8odEJv3R7w28fr8jjcUwDVlRrJV5R2/kthELF328nlcnZZSme5veFz13EL4VXBX1MBK3jkF+2jdRUYBsj1tmlGiLNZHZ+jVIE93I2+YNNLbezGsLb+M3EKh2H+qDydZ1UzyvqtpwD2Ru3MLbcCtkXbBOVNdLZNI0Q2aiSTsn/aa7l31TNB4vQmOqLJhU2wNZjSTC1xPApn4/CXJYlWtKAwSO3u9ttRUS2hJteic0rvtk00Xn25BatnyPBMfGSCt3B6nVTjnXiu2RwJqM7emk89VeyG+7W1TniyOBbxMEQrRBAEoSm6WR94HXqSLeh9eBIXD2JS9/4sKyHtqaLxfUi/IY630wATcOQEDUeKSFPIjKJultSN0FBiJh53okgCUWMd2B33EAt1Qdev+9Jqqj2DJlSyTctS5T/vHeX5OI/S2RQPwyAkVepYRJOvmxO3bwPvFhUndovWpZIo+++Jrs52eheWBRJIydTeRC52m6enlX8rp7Dc1jt6G5qDmypngazSNVAbt9vA4aR99wcVT+tlQdf2caWkMnAn/Dt6VF89WnuKa+jueAbCDppO9cjvp/YjG0H1qzOpVJPxWNvelRfheSWuwtTmX+or+33XaZ+0mwywNQX18EzQlN4vdm3r8rUiQcgluoeT86DVlXPEu09XPed0T/b0IxJmK3t8u8fYaTA6iQzj+N0Dx/CSlgfDka40lMqXIxEloTgacIuEjWp73R3FXJ0szL0AwBX6ORS832/v1T0Zp+M1UE3fS8jvb2T+JrbYt4ixF+3Tguc3HoKMCEujnqvQDFURx1fSCtaYLQtkcIehef8DfyRWplZJI5mtK7NkxEoMORfr0UYhgfQUz4G2QYnjr+jiGIKRoZ3UuCe13rC0XeVmVtEVCSxBXYDvlE3kOqRT0b+RVWxTQ3QxqkW5CmaihC8lsjZjY3mFS0yMZuChchYSMOOtiKNMDUbOYAaSOO8OsG3o5rI1BlcX/3s754jirz/rGIoVoMMZuvkPrkL48Yo5J+0H5/B9LdN/5Oynj1RIz/fqXqL3rP60QB/ajIUG1GxieYylr5fakYoGw7BMJkAYU4ANoEJBzcipiiz7wPj0EazXFIMNsQCQ/9q9EnOyIB8ii/HoY00idVI+3yiOFZGWkhj0HMZxPU10eRalJiE9hmiEFdmnR3gr1Rf96SKDI5UWyFzLu38/6SBNNqhVwlJiPmtZKLT5T2LCTwJIG0rkJWECd4fayC5om5ovWJvq0VGvetkVnyS0TgB2KER+akb0LK0CeatgtJ41z09XvroLmjSSb9cMSYLuvXWcuWhElt5u1YNsAcAtBeivsbAnpe9v7xMZGrUPT9ExGIlpijb4t8qpMAY1O8rUq5RSTlTEC1Bt6PzkWWGUkdbUjlcVXBQsnr7j+kOwc08T56KQLusuPXEKi3LxJSnvX7I5EAvCtaoyYioKh3qfcn34LG9E6Z+0kb5Qrx0Ti8Ea1963o/vsDb7wwkvKyTk24NUiuOPEDhXuCyvPJmnlsCzUMPkwp+Xb1PbJ55Nq737mj8nYtAwCTtCV6nQ9AYWZUqdlzw6y5oPUjinjRBc9kLOLBVLg+0npyDxsyWyLqwoferBt6nSm4DWgfzwi6IB+kb3bsYgeZHIre37mXS74SsgQYjAG1TUpeH6ygR8wYpUPaMxlAXBJ60RetB4t7wFSWCDHraccitZYLneRri3doikO0vZAI2lmiH9tH5Gf7diRXhvuQAKnEfJgUPFkLj94Lo3i3I5Sd3XfFnJiIrhptJXeeO9fdugQCr/iXKnihb9kNz6T2e7gg0FzagipgGVLTWOcLfl/C/O6I4T4tSRRyh/9WjABPq5qj3AhRHcdTl4QzBZCRwJkLqzUiQvdEX28fwYENl8lkCCfJbImHsMb/fBwnhd5NqMBrW8Tcki9wqwPHRdzWKztuQY/bmi15LZIJ8HjKvuxVp4XZBlgXL+bNtkjRzUMZhiPmrtG87FQX5+xFjk2h2b0dMQlVbY00j3ervBAQefIs0DYkwMZUyfuVICPqQyH3B+8VrSPD6nKr3jW+JGJTFnTF4EGkxEsGjR14dROm7+OKeuEQ0yntP1HaxG0Q/KgIQ05EZdsIoTIvaMqulGYuE55FR+sNRjIteKLjZZUjL/whVbzfWgdSyoiMCJpK+mQgn5eqhCRISX43uDUEM06VkmP+cukkArDtI/dOf9nasjuCwNwKjRvv5O8hiqTtioruUKftpiFl8GwkxuyFh6HW8X5d6b20OKm4pl4Ag5yIB5klSjeR4ogB9mf6bBFhb29v8Yb9/HtpVJDFJXgUBSllz5rFI4NoKjwnj/fBhPHit3zsYt5KoYjw18W8Y7NexRn0jJFSXivUwCQk//0Fz/EB//n00v39MDiCGtHuJVdo6/p2nkVpCHILA1TXIj9NRwSSb1IphRyRoJK5bTZFVRXYnmiSfhdA89h9g5+j31bxObvNv6Fum/lYgFZo3RhYcyfs39X5aLkDbYmhdu9WvG6M57EpSIK9V9r1R/n9E/SBZpxKBaFUkiFWy0IrqYGU0jgZ7m00iXYemk2r2S8Wo6I5cQz7Cdyjy+ydQRoObyWMAms8X8vbaj3ROTQIyltwxwZ9bktSq6il8W2n/bTfmMH5SDeaG5dG4TLbyXI3U9WtLBM4NzKSpIMSiubMdAhXuJdJco3FfyiLgVNx/H/EZtyDryU/RvNjB23VkmfIPRWDDVn7d09viTDKa9CrqYWc0Bq/D3UqQIuIdxPO8SwZQQaBet6jPPYTW+MleL5ehOTbhH7PWapbJ6xlkBXEA8K7f749A15uIXDwyaTf3vrcmAmeXI7V63RyN5UpAAgLeVonq7VQq7kByFOJ7Bvl1rrKsOHQUYELdHPVegOIojrlxIE3iY0j4XxJpsZLAM9vjgbHIYf4Rszaaigzf7aTRtpdCWtVTqKMtdZB58RqZe6OQ6eQy0b01yWhvSuS3HGIqjvO8E8bvCiImrIo8ZmuHo3stSAMqVdoqLHpuRX9mEAJw7ol+uw+4o4p3T0DMzl8Rs7A+AngOBc6pZrkPAQ7w84akzFIbpH2stPNGZrHfEQlZ+zvDEDOMu1MNTTRi1s7wxX2p7Dsyz/b3ftUfaSTO9GOF6JvOAGZRJkAi0kL8QerP2iz67UjEYDVBmvn25PtVJ+aWC3t9XYOEiYR5bY8sFI7160rbiUZ5JVscdkGxJo6OflsWaXEqRV1Hwt2Z3ueTbbbeRNrUPsgyo5LwkGnDZF/3rREQcB8yld8QgVrlXHzifMagft+EVJic6n1jrpiN+vsuRPPAA0gAmuZ1kLjEjEC+vMvmpG+LgJ8e3uZfkAKgHZAA+yRi4l+n8hacI73frpC5fwgCKJNo6YllS1VBO+M56MRM/a5ZRR/aFLfEIN3ad13/bTAZQCWTdkc0HhKf8A2QFcMluKk2Ghcl/fv9mX3QOvAKEuQHI5DldkrMBZlv7IXWjkMRw78J6bjugQSSkow/0rI+jASni5BGdE8kzN6IhPSSuxdE+WyO3Kbi4KGXE8XiKfUd/t3/JsdCAY3JO6lojRZboS2DAMAxfj0dWZKc5O37CRkBNFN/i6I5oDESws4jCvKKgJWq4mTsiwTnvyAgYBNviyeQAPkuZQDy6DvuRGvK+ghgTsbVJmjdm6OdXKqq/+h6cQSIXer/n0CKgk2q0Q+3Q8L+qUhwvol0TtuXHEu/TF79kYXeq2heSrad3gcpD/K2RM7jsy5E80sCDndFc8vx5MRbyUk/Hs2FvZD14LGkbozbIlAnbweLI7yNtkZjdyRy3boOASuN0Vpxck69t0OgQWu/HuF1uRHiEXr4/U7+v1He93t5n/a0P5C6qzVGc9Nb5LjeovX4H95PV0f82NFoPo3HwotofWxBxk20OCoeg4YMC9/88Pt8cVCACcVRHHP3QIzMSj7BtvF7+1Ix2rv5QlrJn5KUWVoVCfBPogV6RPTMg6TmqWMQA1pWg1HNsi/kC9EfiNEcQxpYLEHOJyCA43XKCLHlFgwEkrxOaV/YpA4WI8ffFmliBiFhYO1Mms6+sCaL53jEaK2MzEa7+/3EN3tYqXJG7+tAKoDH+V5HToC+nPRTkZYi9mVcmer5H05CDGNXpNV9gFR4mez1WM4qYyACIjogJngvJIANjJ+L0g1AzNmOpJrBdoihOYVUazgCaSzWqKL8ExDDlAj/sQb4sarqHwnsF+GAGgKmLkeCWKI9mYH2mK9kyhvVwwrIvzbxo++CLELiOAutovNEy7mSpzsRMf97IG3seK/7l4H1q/iGRNBKNPidSc38x1DGHzcuS4nfVkYMX8ltE+viQILrL6Sm2IO83h9CQMu75MeYaIYAr14ImDoQMZhbEu0WggCjjUm1gbHQsQeZ+AOIYf8ECQGHI3DmUaq2bJmI3EOaIHDkRFKt5GQ033aKnu+QSb83cEp0vQXwNWK8ywVEi7/zv0keyF0sASx38ntZ14JhSAPcBq0rz5O6xpyP1pLWaI6+gcy2eZm8dkFzSCvE4O9JGmNhSyq7K2Tnh2XxwIxIeLzdz1siwGhYXl+Ovn+Yf0M3v97A23Bfz/sd8l1k8uKebEEGUCAVWGLgsh8COY5EwtMAFAT39OiZCUg4O4/y2z/ugywPnkYCe1/Uv8+jmu5FSHufbAV9I3Cln3dE8+rUbB8oNS8gAby3t/+ByCz/Qe8jVQI6NZwD4jboT6oUWRetb8sg3uZQfPemMnlNQIBUU++3P5PGa9oYrUElXTNI5+fFSPmqZG0ei8CJbADbuPwjve918b57KJqjkzJ0oXTAzuyY2IrUZbGxt+/NVLGFpz+fBDJOdmtpieb0a/28JfmuEasiEGSGt/0otA48Tsp3jkHWGnnBHhsgkPcSxBvMdo/x39uhuaKkyyFSED2I1sU1Ef94KJpT10Yg5yVUYzeg4ijAhLo66r0AxVEctT2o7Bv+N19gmyGG+E6kqW+BtOSlzGjX8MV5aYT8H4lQ3zho4HLRedlgZzX8hi19QToPaUjuQ8xXZySUP4IYoEQDUg40yAZcbIcYj3epOkbCusiF4zZf1BbL5k0aiT9mEqYgRioxgV0FCY1vUTFS/1lV1RslhAPSIHx5wlPC6C6PGPSBiIG+1ftHDySIvULO1oGZvLqh+ATn+3UrpIG+whf+Zym/f/kExKhf73WyqfepvZBAkdU4NPf23SZzvxkSvo5BDMwZyEVjUFV9wH8fhyw7EnPNxDLj9lLlJ2VqGiKm7xxgmt+bjACFHf2brq6iHsZ5Pz4XbRW3u9/vhKwajo+eXTw674uEyyS43mikNd4TMbFtKBHwM8pjJQTQJb6zg0i1Rjuh+aKkAOx9bV0qj6UOyDrgHcpY5tTmiPrywmjbuieAe6PfWyEBcCw5FgmZ5xZHjGZ/HwOPkMb8WIbyQNBZVLQiGedtviyaS7ZFQvmi2fTZdkFz70ykDV0caQXvQJrMCm3hZf0DCc1J35uE5uYu0XP3ovFdKT6Av28lP1/d220H4DfSAGULextfRcYiwOv2BSSwdEZ9/6ro9zHIIqSXv6tNmXbYCAE5S0TvNTSOLkbgTHZOyApkyyBQ8QT/7iReQK45PZo3knYch1xBDqFiQLbJSCv6cFQnsaVBPL+vjlv5+PWmCFBYIzNvJO/sh+bJg9B4uc3rYQUE5u+eKW/jvPf69YZ4sFikMU6CU3b2/M8gB8hBc0UcQ2YsEvwT64REGz+4TNsNIwVyp6L1+Tw0h64XPbcospopuwvKnM4Ffr4nsj55nghYi9rjBcpbrC2LhNwLontnorn2GgTUVMeypRLIivirlylvrbiXP3OzH7ujuWCG94mSiplMPayILOOW9boYGf12J1WAYtG909C6lFgRNEDrVUmgHYEWwzxtsu32DMTnDEBj6i0iHoV8QO4AxGfdF93bx/POi0cSj4+1vA9OQvNfAijs7u37V4pdG6p9FGBC3Rz1XoDiKI7aHJT2Df+UVKs9HQnqfSnhh+cLyUGIiR3k95bxheJUIs1d3mRfi/InC0l3hDgnZb4YCeMXk+59XslkLkrfh4ghpaJvfjfkW7hmNn2mLMm2fq2REDmTapgbRul3RGDOaF/cZiArgoFII/E6OWBGiYU+3jd5EcRQvkQZMMUX2XeQeeOviHHdwuvwbiSUrVei7FnmfUvEeCfva4SE2F6UcW1BTOWdpPurT0Ya/uFIiDiYDLPi9X03aRyGXZDQ9gppQKfxSLAcV8P+lQUUtkLBFysxbkgAOAkJSk2j9Gd4/zGkYT4Wjbl18trQn2uDNNaJOf6qSLhPzFC7kGo2DTFB/f16KcQY3xbluRoS+vYlJ95Gtj/4N8xE2rbT0Pj/FgnUwymvfeuLAmGV8r+eSLqHd52ajpKO54lI05S4iDwAPBrVT7mAkTHjuRKKB3A4AhWX9HY5hUi7XCKfNdB4HprkG/XRgynhbkVFK5ihpDsYtPD8zkBAWSNyxhMSEp9EAN4DCEjbDgm9e6AxtTUCI7rnvH8hpHm9HQF6b5IKhHuj4JlJINOFyWgQ0Vz1ARWB48EITFwhuncpVWj/vG/vhxj9IV5vH6I5KTFbzkbLH4OEhauR0NXJj6vRHJYEkJyGxtQimfR90Zyzlvf1V7ye10Im0h/g8wga389Tfl7dDc0ZJ6K5JKm7yWi9HJl5vjWKaZDEiWmB1tb9oj75DLBPiflj4Ux+myCN6/5I+Er6YFsEmOW5aY337/oLqSvWANT3HycFVqcjgCJvG9NxRNt7onE3CQn1b3hdXuX9bPe6nAdyyrIiUia09j7zAXCu/5aABFW5fHVB88AdRIGjvV/2oYyLCBL683YzaIzW/bdIt9nNiwXUEc2piSJibTQvJ3zVDMoEi4zy2hOPF4MApJ2Ry+q2iEd4mfK7V6xExRhKR3vZ1/D2fotM/By0ZrSOrhuh9elh0tgRhyDA+wY8DlNOPeyOwMDGaB57jnR78o0o4R6DwNUrgdWi+rwWrcPrIt4hcR1qSjWsa4ojPQYPGRb+9ePv88VBASYUR3HU/UF53/AjEOPT0p+bll0komd7AZf7+XmeLnEzGOSTdrX2267l91yMhPjWiBE60heLL/IWmSjdeH/mJjxQpN+PAYXqBDMai5irjRCokGhyu9fgG7ZF2vvVkOCyGxI8byWH2SAVnsYjRvtk8oXFvqTCZh6z0hZpv/oiq4i3SH0xmyNmqFvO++MAh1lAYWOqiA1Rog5uINoSzL8rMUvODTzp/S7ROt2JmL5BSKO4dfZ7a1iecf4dO1FG+4SEqD+QxvUopK0ajAT4g5BAl2ggK1mn5OR3jvelhPnfGFkkbJ79FgTm9SNlkPsh4Sk2bV+DqhnmpUmBk2MRs58wWqdRJl6I96PeCIg82+/VaXDVarZX0n9XydyfiRjpt8kxCSdieqk49pdDINEMNBd2QVYnVQnCLdA8eiJRfBGkBZ3tPpJJ0xvNQ90RYHAhsoxIdoxojgTNm4lAh5x8TkXjqBHy8b8ECeGnIqHqxrx+7P0mabuxCEC6NOlj/n9PBDYOLvHuvUitaBIAtzVphPZ9kCXWXykTuDPTJ5Nv3gyBJQ/joHXm2bWQ1cdkJLhe5m0+Evl1n+91cRgCSbIWDQORFcQupPNfL+9TL/r1fv79iXCysb+jFZXn1tHe1onbzN/9vYkQtD45a6OX70VSIOkoBGAlbTAcmdR3o+L4HYvcsGI3mC2R4HVz1B57I6Cg0rrmeTyJgm0ORnNAAh4cjOaBQ5Ag+lqJfjTWvzsB4NtS0Q1nJ3//Yqh/lo3VUMv5oC+ypLiHdIemhRFwfrFft8qk6U/q3jXbUojUUqmCj32J9yZplkNjcfvse6K6GZRJs7jXTVKG5gjE2ShKdyI+31ezHoYjEKpNdK8jGie3I6u5SmMqenY64kUuR+tgAtSejNa9q8h3XRyNYowk33YbmoeW8760Pyn43qzEuxPgL3FzbIRA1Su9XUtaOyIXnD8QsLU9Woe7IeuGjghse5RqxsIqjopHASbUzVHvBSiO4qjNQXnf8EdJtWp5pnkJY9MXMW3N/fpixLAnAlPJbbbmsMxZ0+k42ve9KNr3vtHveWa8SZqmSIBPNOE3Ai9Ez5UEEaI8EiF9KBJkX4iYgHW8TG3KpF8RMVejkXntRkgDuXpUxqZxmkw+Y3yhHIQY9NgMs9pWIL6oH4UYz15+byvKAzG3AW9G11lAYQO0c0FJf964PpB7wO6IaR3i95dHAkAe45uN7rwTYsISE9z9cKa6ln1ubSRAVNoBJPPccMQ49UMAwklIiJuJBImpRD7SOX2hPRXjfZxNumPAUgho+js5ghwSZr4CzvTrJdG4rBbDiQSoxxGTegMVrVsmozFd5VZtSND4ICr3nxq4CgmzydabDam4w8A6lDDD9fH3LakpepxuBaQVO46MP26570Ma8cO8/U9DAvX75Ac2MwRUHIuAoNZoTjkVjc1kntkbMc95PsVJP2qCrAoWR37Jn/r7b0XuF5WENzSPvwJs69c9SYXWwzLPTqHydqyV3DuILNGQhdRBaCxfQk6AtOg8GQNJ2rbRebK9adYiYS0k3C6fuT8DWSS0RWDBTgikze76sDByY9k2pzxTSIG6Ud6eMZDaMpvGr5t6G2xJGm/gEmTdkSeEx24Sh/j3HIUE8+yOLW0y1+OQwLWp95HEoqCx96cLEaC4E7Jyy9vNKFEwrOfXyyMLgvOQ0LgIAgpOQf00rx8neazr1729/kdGzwzDQaq5MP7z1sjRaK2aTBqzpg3q79n4Iq2Qxv18UoVADCh0Qf34XMrsuODPTvA+dQcCkbagYoDNPJP8JM3taK4/CAFa2yAgY6Q/txVyXarWloVIeL/CzxeK7idgdcl8EODwlPelfVC8lSdwMBABS+Ws1cYiQPB+YEZ0fw3vW8cggKCUi+aZpHFvkrmhMQIWB1MmELA/Oxz40ev2GDRO/uZ10giNmZIub8VR+ijAhLo56r0AxVEctT0o7xue3epsCVJBOfanvBK3TvDrK3zxaFhqgZjDsiZbMVUyxSPdxz4uR7kFagJCtR+g4vZDNwDv1KDu3kFM6kIILT8PWUQk0ZLL+UGujcCcc5DgdwNi2Cb7glcuqFbCXJ+EhI5xSGNQaau/nLQJY9SOFEg6AfkfJwzUYCRAVqWB/QvwXFznmd8nUYP9whHzeTrS7F/kZVi3qm/JuT/U63ZUHfW9svtVZ/rEG6SBIEeiLfheJyfwY9QWiWnxaaTC8MlIELgKaVx7I2Zo5Shdd1INZktkGXGOXy/t9VjVTgGjEXi4MAIwbvUx1QBZyVSKjp0p+wpI6zPC0+2NhNAe8XN/xoGY7tPjvojMcwdXI+1YKs6FTaNvHIvAhBqZwaJ5YRVkpbA9+aa4sRC5PhI+LkcCzzIIUDif1Oe/3FachsCExDrmXVLBrh8Zs36/PxAJVslzDUiDh/ZC89g+SJB/lDTmQJ7gtjoCvYZFeSXtsCsCLZpkyxyd74SAtIY5v+3ifTHPwuY0fGs5v47BoOtwLXSZemuM1q3Wft0wavtRaG4+HY3jFXPKFp9PR6bYST0dQmrSvQ1yNyhl6Rf3hb0Q8JDEVijlZtgfBcjczK9XQ4DeQQg4MWStlWhzc+MeedoJ3hcGIVB7Bgqk+wIV19ZyAVaTOEzLeB57Z37vjYTTNswFt0c/3w7NnycgkHYUMm/fhDRgYam1Y3mvr9PJt1DohsZDuTgF7ZCVSCIEb4kAvinkWCj4MwkgNtzrZnmkoDgU8QoHIKuRKxAoWUobn2d92B9Z9HSL7m+OwPuSQR/9ejEEjG6Lx5/xPvwOOYEWS5RpDeD3qA7NjzWI1qdMGybxGO7C18Tot9Hl+mCJun0HjfPlEcibjKtqATLFUfkowIS6Oeq9AMVRHHVxUA3fcF+M3kLa5iV9kdsfmXC2QwxvvCjUaVRmz3MtZPmwO/nRt/sj5qusJhwxz7cg87lLkJYl3nniNjJm0jl5DPEFPWGamzgDsA8CB64k9XkvxbScR2qBsITX5/F+vSs52y9GaZO2OhwJHg+RmkNvCuxSRfkneXvei7RWi/iifSkS4l8ls91d/C1U1FzfDjwfXZddnKM8WpC/F3R7pDXYipQZyzI4o8gXzBZFQse7zKUgf9Xop+N9PMVaKMv8j92KRiIAYiAKcvY1cJ7/toy3Zx8kqM3e+xvFBngNMUnJNp4tvF0v8euSljnR9SpIyNkJgWuJJcxI/19JCx6lXRsJWBcgJvdqJEDvi8ZHj7lYz0ldDvW6S7YIfAXFBeiFfKLfI/LhryLPZC6M224EAhKqDYrN4ffsjYSsoxCgcx1i5LshRv5qqrCOifLqhwKhHlqNZ4cDf0TXD+HxRvy6l4/x+4iA1xJ5xe4dw6L7myABsxwQsj4Cs7qV+L0XbjVV4vfLkcDUxq+TfrwV7r5RJm0bMgFqSQHbDkj7ejhVxF1BgSqfJwKdEDh8NZpbn6MKwJeKgEKyk8igMs93RuvvWQg4ewoJ0esgYf6Y6NmS7jHRM2ORdcEB0b2WXrcl54JyeZCCQ+PQfFfteEI1PZAF2LPIyu8EZB23BBJcb0c8zGywyNNk58RhCLg9nXxAoUoBFLksxVuIHoLmxEoxNpCA+xFpzIAEgBuENPo7+vUABNZUB4zaHfE3hyKLi12RRcG+Xpb3yADNVAbvJkXXJ5OCjLsgC51qu6igdfEDqhFo0/M/HYGRyyA+JXn35mjNK7kVbIk8J3i61n5dpftqcZQ/CjChbo56L0BxFEddHZTxDUfazzdJ9xVfGJld34SY7CSy7uQozVzRRqKARZci3922ybtImZXplNi+0X/vjUze9vXrZUh3nsiN7p1JnzATY/zbByMQ4DXkJpFEym+RSbcQqc9m4vt3M3BE9MzqwLXVKENXxJwORoLUv/E9shFT8na5b0GCxg1Iw92CdNeAxl6G9XHhi9Lat35UjCJ/CzUDFNbxNHcj889qawf8m58ix2Td+8IWVLH9458wnsYCX5KvCV4EMUqJK9AYH09rIWFjAJU1gQMRI5QEcGuANI39vU8/ABzov7VEAvGS2XGYacMVkBl2HxSZ+7Xot+2QJq2smxIC90b5eWfEuB7p1ycR7eYyl+p5bR97hyJLoyHeN2/x8j9ODihWRZ7jgI/8fEnkPpIbfLSWZY+j3TdF80dXv+6BmPdLSf2TaxSDAmlBj6AaVjXJNyMg4bASzyQAZtm5ndS94zFkEn80AsGWyjw3G5hE89A3RAwfJXZHyHlfDGxe7t8QW87t6X2xQRX57OD1PTjO1+vmElJXvngM9SaKi+PvX9XPExPyTp7H0VR270gAizhOx+z1zK+PRGO/pACO1oRjkJvf4dH9FRFYXCkAcRVtmOy40cavt0F8Qa5WvUwe70Z5TEFAS50CjGg9GBNdn0i09S2yWHzEzzcmIwBn2nNJNH82RPPisWiuLmtlFfXldqTjdQ8fB4Ojcj6GrA7bZtIvj0Cj9cjMuQh8+ZgaCM8IIH4CrYUnInCyFbIu2geNy5KxrBAQ8TyRFQsCaS5DypLHqUbMk5x810JrTaV1MXpmE6TMSNwoGiBA920EsL5MGeuaKt4/tqr3F0f1jwJMqJuj3gtQHMVRlwclfMOdkTjDzw0x7JOQwNEXARDP+eIz17R3CNl+BgnCzyAmMVm4Z8dByEmX/JaYnp+LBL3E13VJX3BPQIJenvluhfyRD+5MJMBsixjGa3FAhcp+8Sv4Aj4d+est6szFffi2hs5QPIIEvHJMb2/S7RZ7IKbtdWQO/xxltrD09z6PhM8O0f3nqMKaIXp2T2cmHiIyH0YuDx9UI/1KiDFtixjdJ6jmVqGIaf4IZ5gpEZRxXjiQJmRUiTbogkC6BLRphqxZkoCoJyIBYnCULgkKNxGZdd9Pao0yyPvSEXn9L6cMe3kbJlq3TZEJ7TTEBL9IZTenhaIyJD78d5Bu89UAMYtX/0n128f7bWekyXrd+1IS5bwFKUM6J4E3f0ba/XXnJI9q5B9Hu2/iY2J69MwmCMS9GLls1fQb+nv7VNdFJzFFjoX4lZC7REmT7hJ5LYQsHo7wPpWNURALcEmMk45oF56jot9KualVik8QnV8OPOznG+Fbz1WjzO2QQH4+AlUNCWVvk7MDCLJm2AOtGQkweBdp8MMEjKi0ZZ2nScy4x6K1Z4/MM3E7VOleg9agE9C6kOS9K7IoqFYfyOmjbyKrjMeZA2tDKiopnqCaljU1yH88mqtmoPnAkPB/bPRMC+8TZTXRXldPex2ejAC+nshS6GKqCKaMeKJXva6mozn9dB8/l3g/6uPn8c4msTvNo4ivWojUFaATAhrLBV2NgcnJXoZkLWmHAKlbKDEfIguuZDes9og/6IIAiA0RkLCmn59fm3ak9LqYAGvHAzv4eby7zkJo7azVFqKl3l8cNT8KMKFujnovQHEUR10feUwHQsafQoLCpQgdfssXxYuQENELCcsrzqVytUGC+7J+vQEyiZ1OeTPsZKGehITtxJrhAqS9bePXS5ETjTiTx1pI2zkdCW+xP3A/JMyUNKf2uvovqYVHI1+g30eC5AeUBwKGRue9kPbgamTCuYgzHSUD3yGwYlFnCJKI3QkTvBtuRljq+/18c+ApPz8W7bUe7yF/JVVonrztNiXd+aK73y8bSClKfzICgxJtUZ353c6lvjt714XM/70R85gEAD0fWd5MQkJJn/h5P18SgUF7eV+8kXSnjSGeX0lTcH9uIjIDTjSnvZFbyRAE7hxPfnC1lRHIsQsCxFr7vQeATf2ZlRDI1CGvD9ZhnS6D/Gb7ovnpFcT4z8Aj+tfBO1bHNZx1+S1Ujna/GGLahyNz3s39/qbIfL1a46LEu2okRCLh7EM/74PmtJJbadZBXUxF68g+3rc7ot11Di+TJp6P1o7O43FyGTJvfzGvL5fJuwOaC99BQuCzlAGTkMC5lI+Zdt4n/0a6C8rmSCCPgdsWyErhQATgv4niaXzo+cRWCpViR1RRH91Ihd+9vJ/VRvCrVvDZuZ1HiXxHIeuJFTL3eyEQcB8k0G+BQMdy2xJPRmBHG8TjvILW1qY+xxxKJlhjJn0f5EKxHFIhKrIAAGeeSURBVALxviQ1y18BARUD0Ta/71FxdwvLfFMCKCSWMFugeWHhEu/OApPd0bi9KHpmMTR334gsEOOx0sS/f3FS66ObEb9yo/elx3ABvw7bz7ytssDGbgjUiwNFrkM1XdVq8v66zO9/8Rg8ZFj49qff54uDAkwojuKo3wNtTbQHQt1v8gVxERTg7QpSoeQ6MoFy6rAMjXxB3T66tx8SxPemPGo/GpnGZZmOo33Rb12N96+JNCxropgK9wFbZH5bJyddzCiMQIDLX5zpSBjFdoghHZhNk8nrKeDR6LoPAkjuoOpAiY2ReeJKfr010lidgBjej4j2zy5R/v4IsOiCtFW3I4HyQ+C2Mu9OhOkkUOB4pFV/nBRIWM/rtWXmnUnapTxdV8Tg7YNcAZKdJ/70bQhr2H/7en87C4FgnbxP74rij/RHwuRl3s4b5uQxBJmr7u3XXZDG6TpSYCVv+7EsszYcMYp7IkDoMe8Lg6vxHVcijX1iTdMYCQt/Jd2CcK7Eqoj6wvKI8U++eaeoPNsjy6M6AzVLjcc5zCsb7b6Xf8so7w8TUCDUa9EuDHNkzlvLMo4FfkKAcdkYAbV8z3Y+B6yAhLfEPaaz97GDqkifWB20i+7F7gEz5rT+EKjQjtRtzfLe4dcjfFwfirS645FZ+iUIzMgLXroOmnsvJdXCdvCxeBwl3L5K9UUqAhBdvTxf5r17DuqixlYNcyOPnDx3iuouAfUTXqSfj6vLEPha1U48o5EwvTOKM9HH58TrESDROPN8B9LdeZZAwvftpLsN9EFWNodHaVZCwNFSCAztH/2WByis5+94mZygo/5sFphsj/i1Lj42Do2eLavVR2vUY172JZHFZT//bQc09zcp1QfnoP26ornwGiq6e66IwPTJiMfcCIElNYqRUBxz/yjAhLo5GlFQQf8DFEL4CTjdzK4MIfwruW9myyBmeHEz+xJpXG6oi3eamYUQgpn1Qv6LnyBTxaXNbFQIYSZyCRgO3B1C+KVMdish5vwfZrYFbo4YQjjEzNoiIW1mmbK0Qgvchkjz0w0xKRuY2X8QsLB1COHlpNxJWv+GkUhr+kIIYW8z2xcF89rLzPoi88Lj4zSZOlga+DSEsIqZzTSzu0IIa4cQPjCz15Ag+mOZ8jcNIfxiZj8jxveZEMIVZvY7AmJaI9PcJ7Npo7JsiwS1sci6YiUUJPB7M7sOGGNm7UIIX+XlYWZjgZPNbEPUblPQ1lcL+29HIXP5H3LSTkTWCK8jDe79iMkLwB1mNjGE8FGp769vMrN+iNm8BPnf90FCxkRkIdMUaSQPCiFsY2atQgj/yfYlT9sMWN7MFgsh/N3MLkSWMieb2eZICIzfbVEbTkFasf/z/2shgeY8JNi1K1H+uBxX4kFOzexV4PUQwl1m9jJisE8PIbyRU/Zak/eF5VE/vD6E8LH/1ALYzMwCini+SQjhhbp8bx3m9S/vz0eZ2UcIXLzN5zOAu83sOaRJ/CGE8HldvbsGZbzPy7hwCOHeufEOM2uCrBC2QnPS18CRZtY4hPCZz/styqRfAYEFu4QQvjKzJiGEX0MIs8ysYQhhVgjh8DktXwjhn5nreE6f5WVYCa1LzyDBfRoScE9HAEljFNjyH/78QigmxntIU74oAhVHm9lDIYSPzGwjBJo3QXNz/M3xWE5M4ZuHEE4MIfwele9vZnYs2qKzwnfMYV38VPVTcz+PHGqH3PwujL7/NzMz4F/IYqkxcmf8Ji8DMxuDAIi7vU8uD+wUQvjQzD5EfXDREMIXmaQ9kOC9KNo+8yYEyo8xs8d8bV4deNrMrg0hfBBCeMbM1gohfG5mZwFdzWz/EMK7PrcZQAhhpp+e7uXfKITwdk7ZF0XWmuuHEB7wMXMFAjAeNrO1gVvNrGUIYf+Yd/P0fZCr4ULAyyGE983sLhRf5IgQwqUm2g6tMRuHEH6tqlFqQD8gIP0doIuZPYh4vLvRergJinHRGoHFn9XhuwsqaN6hPwOxKI7imNcOtMCNR4HP4ujXdbrFDtpi8SmEXJ+FhPkDkfB+OXILKKtN9+uJCOR4FWm090R7F1eKtl/muhnSQDyCUP8miIm8lfJ7vq+AfCVvRoJYso/5fkggfhcxC6XqIImAHO9rPhMJ1Bshi4hlM2n6AtP8fDmvvzu8Di+hokYk2cptHCXiDyCm7ElSc/oGwMHI0mEG0iKUi9I+ADEMw6N7LT39hV6HuTtfIPDgBtLYAuOQADzJr2dQxc4b9TxWkm33JmXuH4zMubsic8/9EGPYJuo7yf/+pLENFkMasKNJTVK7UMJFJ3rfrmi8VoppgjRAr1PGLxttNzeV1Ox/b+9TPbyP7vEn1WeyneoZRIHKvD6PztbzvHpQOdp9olmdQBX71//J5awrLWSei8DeyJLlgejeLvgcWS69j6uHkYtNsp3xXHV38nnwJD/fHrlRXI1cUdr5OD0ZmZNXGo9Iy3qgP/Ogj+XVUfyTvUjn1/a4BVmJcuyILDoGex/aJvptnnb5quP2WANZIcWWKYkL2el4IMy8fuRzbgvvbzeQrj/3eltMQ+ts+7z0ft4CrWGHeX5bIWF+EuncnLgqNIrL5+fXID6mT4n8h1B1nIbcbThJrR67IwuNbMDHJN2tnu5vnkczZIV6J+IdWiA3h7liIYVAimeQwmgkcqt4H1l7Jjtdta7vvlYc+cfgIcPCdz/Nmi8O5mHLhHovQHEUx599ICBhFSSAzt7iKDnq8D29fTFvjgCA53zBWRQJp1uQs2tDxCyMQWZ6W/v14qRm0YOQQNK/xLvjPGag2AS90C4WzyIBdwAS6rKBxeIt/1Zw5iSJwL8ZEugTQKEjZaJEI3PIt3ATTa+TxOz2WM9rnUyafsisMwkC1hyBCxsjpucPxDw9jTPxSJt2O2lAys6I0U0iy2+H71sevWc48m28kyoCc3k9XBb1lWaZ31uXSdvA37FjdG9f4Ob6HgvV7MfZbfdiP9BTkTDSAAkQ3XLST8J3dkBa7F4+Bm7267zdIrKCVw/vtz28/id6fxiCtMIv5LVhNA6GIEuG0xEDfDeaBw5ALhYfkOOWUUf1l5ShCylDvirSCk6mIqBQAYSZ1w/+pGj39X0Q+XojgWEdP++HNLqJALQZArX6Z9LHAtZKPqaae/qzkWVNYt4+14RptIZ8j0DhoxG4PAQFmTwfAQpLIn/vtlG6ngiMa4KE3x+paNa9to/lg/LaPurXDZBwd5m/aye0vjTif2ibu6g+WiEA9kxkFZUACZsgALfK3QYQmLsdmoeXQyDVZcjlbnCZdCsgq5IJCNhMdofaAgnE63m7lAoguq33/fcQMNQv+301qI9S23Cu7d+TDf45Fq0HI6N7hyO3qiQI43QvV9+50bcyY/p8BLQNR+5yM5Ci5SJqsHtIcfz5RwEm1M1R7wUojuKojwMJEov7eV1pruKovU2RoH0i8tV7GteaktHCZ/JIFtEJiCldC5kgnho9M9YX8LJ+3Z7HC8i39QFk0g9iXF/1PNbPpFnY0ySI+nhgFq619XrbxBfJXfPqLrPIJvuHJ24RTzuTs67/XmG7L8RcvwBM8esmRFsk+u+PI4GyJ1GgPtJAjOsgTcFtCMDZHzFqmyMrgq0z5a1kjRKVJ2mPbt4ecbC0caTMTymGK0k/GfkRr+bXyyPmb67tVV7H42WcM0mL+XWz6LuuKZNuWdJdLw70PneOt2M7ZBGSpwFtlbleHDHclyPN2e0IjNgamZCWC2C6OrIESgLKNfI+ea5fx1YTc2s72Ineby9AmsQmyK/4YaQNrNZOIPPiwVyOdl/fB3LpOdr77HbIQulJZFnVEYFlFyEf8ccoA0yS7kByNQKzl0bC0pl+b64I1FSMw7CIz2XPRfcGIUDhGh+rWf/64chNrgHS/p7kZd4kemZjZLFQEkgiBXfPQgLvTaQ7YewDrFXf7T0X+9FAfP7362TtW8TnwQt8TjsEAfC525D6+Wjg/ei6M4qVcCvpjgjZNuxEtD0s4gmSnXTW8jbZC62tU4BBZb5lRRQ7Idld6hx/d5U7dpTJsxQw2TPzXBKzJdnpIVZ+HIHWqZb+3DTmYPvHGpbbEH9zL7JIWMfvL05hkTDPHwWYUDdHAwoq6H+QQgi/hRD+z89DbfMzs4bARmY2xsyGIv/5pmhBmQ5MDfJhXBM4z8y6ZtJ3M7P+Qf6yHZCgvrHn8TGwvpld7o//7vndVUWxhgPro4W3FfLhI4Swk98fG0K4JfFz9N/+jYS1c8xs1RDCPV6OHcxs4xDCb4gBnIn2va5Qd1GMhPFmtjGKgP0x0sS+iqK7P4aYH4L7iXqa5gjhfzmEkHzrLWjLqKR87yF/9w4hhI9CCH81s2Qe+4+ZrYYY3V0RM7KVf+s0xLw/AaxsZjtEec721Y3uBfcXPd7M1kexEU5G7bCnmY1ClhVv+PN/ZOqhjd+f5beeB74D9jezy5DgcGMIoWSciHmJgvzOdwWeN7NFQwj/9Z9+Ab4zsyZROwCzx8RPyPpjGHLxmYYsGE5AWtF1QwjvZ9INAf5uZjv6eMHH6v3IrPX4EMI6CChaMYTwfciJcxHR78jkdHTyOcjstbmZNQjy9/3I31PruSBLZrYyYnIn+62pKNDdswhg2gG5hsyX5H3jQKTd3DGE8FY9F6muqaUfWyBwdVgIYTiKMXAa8GwIYXs0T64dQngzLxMzG4Y0qSOQMP9HCOENJEBd6PktVteF93g52/r5zmgsrAF0M7MTAEIIryHrqTeRkPtbnEdQLJo3/OgVQtjXnx1jZmM9bk5TtP3yxzllaODPPGVmSyB3pc2AXUMIP/tasQWyEFrgyMyaIYF9GzMbAVp3PL7GtwigvxQBTZ8gob9CP0rmJjPrHUJ4CHjfzJ7x3z7ztIsC25tZi2wbom2c9/S6Bs2Djf38YQTQDkRxfy73PpGU36hIX6O2auXv3wX13Wu9nWtMIYQHkfvmE2a2EwLutgmZWEJBcRMmAsd53J3/mllT/+0I5O7Q15+7OITw9zkpTw3KHZCCZnHgnhDC7c4H/V8I4fu5+e6CCppXqAjAWFBBdUAOAryI4hE0QEzjJ2b2BIrqvbWZvYe0L/uFEP6WyWICsK+ZrR1CeMvMtkeMwQwkiHUHPjSz70MIu+eVIRLkWwYFAWyOTFJbom3vPjWzSX7/L4kAHDEpFkRnm9l/gcvMbNsQws2mQIeHe5Cwq5EGK68eggdNOg4xJV8CZ5nZuV5Hw4AtkbVANu1PZnYRsKWZJVGg3wkhnBh9Y0PkKtIOBeEj/g4X3M4MIbxkZs1CCO8583Qr8GMI4RRn7Aaa2cIOnuTV5SpIe30z2m1gMST8fY78pAeiIFF3x0HFPG13YIqZHeXlmhVC+NjMzkPWEksDZ4WcYJfzMoUQ7jWzXVHgxZ6moIzHI6uVCkGtzGxJJFid4EHBDkZRuWd6G/UHfs0DclD//BlpfSd4XzgZuD953sy2RMLH5GziaBz0RgEAHzcFPXzazF4PIVxjZu2QSfDiZvaPuQQiNPC+2RX5pw9GY/kEYBtkSn4EipHwrxLZzBcUFMCyTZg7QerqhcyDiIYQXjEFuR2F3GxWAR4MIWzpwOANZrZhFtDKGdtfAi+Z2dnI3WuC3x+HLGf2zxEAa/sN3X0d6mRm/0Cg6HpBAR8HI3AwhBAO8DnzzZATCNgUGK8BAo1mmNnvIYQLzewPBIaNQGvM3zPpkoB8fyDh92LkIne0KfjxTWb2KarXLbKC44JCLvDegaz8tvC5YWYI4Tcza+Tr9XN+lCRfPw9FIOzaZnazmT2PLAX6IzP/A0M+SD0TgQfbmtksZDH2hZfld8+nsecRvzMOmtncn/kMAcVDzeyXoOCQ16AYSN/VvIZEvsY0REqEIaWASV93/0D9d9kQwrcOzPwG/Bv4zZ+blZe+ppS3TifzuylY6g9mdiiwhpkt4gBRQfMDGVSCygqqMRVgQkEF1QE505Sg9Z2QH+oHIYSLTBHPhyBAYHoI4aHs4hRCONfR9avMbIsQwttm1gl4yResxZFwe3+p97sANQ5YzhQJ+1IUW+AyZyhHIKFs+5DRpHsZQrJAhhAudj7wEgcUbjezRiiC+8PAP5M8zKwz0DGE8IKZtUSa6O3RQj8cxU142MwWQcLnka6FqFT+EMK1poj2BwN/CyHsEz0zAjFM62WZhKg+O5NqW37xhf5TM9sGONO0c8AtwA1lgIReyJf+6BDCTf69+3u+lwZFmU4YiTwwoC3yN73OwYzk2/6NGJ334jrPK8O8Ss7s7WJmPyGLk71CCPeBgJ6oXQYDK3uaX71NzzWzvZB1yrQQwjsl3vGUmT2ELBi2QnV/IrKAOAQJYkOAzfLy8H48CZmevm5mjVFArnHAfabdUD5C8TOyEc5rTVE9LIQArOudQT4fxQF527T7R1vkarVAaGMXMCBhIWCEmbXGA4oiP/JmyLLpuxDCC0E7l5yHALBvovSxANYCWYd9h4DEtig+x28+L00Hns+CEXXwDeOAXc0sCao3FlkdfA6y9jHtKPGumc0KIRxcAkhohiyK3g4hXG6yQDrWzJJ14m4U5C/WZHcPIXziY3EY2hYPFB9gT3//dJMV33/QOKnzsVjfFPeDICu6W9E6srmZ4YDC7yXWkTx6F2hssmJ8N4SwgZndhOq1KzA5CMCvVIag3XXuRKDQTsj9a2XgZ9OOTgshi8fv4vRRP94LgUY90Pr8IAL8RzuvsCIClCq8v6YUqglMhgjcjgCFrZCFQK13AEkoM5ZXR9aWH4UQvsiseV8hV6hKvFVBBS3wFOYBX4viKI759SD1rW8e3RuKgift7Nd9yURUzqaPrvdFptxLIT//G5F1wT/wyM7ZNFHaMWjXhVWS51DQrFfQtpKvEu1ckZM+8eGM/WunIh/hxNc/Gxm6HdLYLUMa9fkKBFrcisx3n0cWGc3wyM553xDfQ7tgPJyUFwWLepkqIt0j890HkSkyiHFqjEzqbyEKdlemLUcjf9KbSf03V/Ty7EkJv2Yi/0hvx3OYC3uTzwuH1/N6fh4Hp+uHLAq6A5dk0hzu/XBimXyTAGR9EXCT9OvPETD2vNdtub3GeyMrktbI130maayHlYBviSKGlxpPc1AnS+BRzZE5/F1IkzvA792Mgj0u598xrL7bsThKtmVDJGi9gjS13fz+ssjq6ghK7MCCAM+Ofr6X94NrfWwsj3YQORsFA32DuRBjwsfMK6RxQhbxbzoVxXto5/fbI8u1XiXy6Y5M2VdCrhlJIN2JCJDbLCfNYsjVbBEEsrzt37qb/34dUQygBfWg4nq2BnI77IOE9r3Q2jiymnntgID4k3weWYWKMZraEO3slC0DWr8mo7V6MW+/O5CrXjufu5Yr8/4JPqe287T3odhE/RA4fBQlgkH/CfUcx2x5miqCKdfiPbv6vH0I2sGlu99vFD1TBFucz47BQ4eF73+eNV8czMMxE+q9AMVRHPPrES3U6yB/w3vxAFJIiH8fBal6HhhaJv3SSIBNBJ5dkCansx/j85gOJDSt5OeNEMO6tV9viLS5WzlD16MUw+jP90U7JTQis6uFL9IfO3MY3+/vjOJQpG27188HIG3bcH9uDGKocwXrqB6MittObYIsMQ5GPra5Wy9m8mqBGP0TiQJdIn/mRymzcwACbxJAZQgKSHUEaWDHlSgRPBMxiWciX/w2iHk7kTRA1XwRnX8OxkA/4C/ef1qguBR3IwH+D7Rd5HTvE21IA1KWrQ/E8N6IAJm3SbfRXI0ywRb9mYGI6V4fMZe9/H4SmGy4l23jOqyHBmjHlIeADfz/lj4mT0BgW2sUb+RBokBoxTHvHJn5rT2KsXIdEuaS3RaWRvEh9kcAaZymIRL2zkJCzoM+F+yBtMp90K4eG6N5teScXItvWB34AY+uj9aJi1GcGZB/90wfmx9TQghFa8YHaO7ujGIc3IIDeSjwZN7WhU2RwLw8itXQBK1vVyEBdmeibXoX9MPb+Q0UX+MLr4uFETB9HdF2w3n90K+HIzDgCBRT4SMUd+d6ZDVSbk0c42mOQnEu9kLuVpO8H1QChHLy2Aw4P7oe6d8yoL7r18uzNrIYmCvBX/17n0Fr3H4IYPyeFDxOtnZdINf5BfkYMnRY+PfPs+aLg3kYTCjcHAoqaA4phBDcXPlQBCgchQIQ7RhCuNHMkoBzB4cQXi6Rfi1k/vwa0MHMzkC+h40RI7pRUBDEPOqFgg62CjJhvA8FX9oKaZG+RBqR20JOUCyoYMLXCzG2iU+6ReaR55nZXSHyAzT5y18HHBPk+5+ACYcDx4YQzvTnxiCt1L4hY7YYvbs1MgG2kPogzgoyDzfkcnBgUg+eJpdCCD+a4i5MBU4xBaj6FYErm4YcX0Zvh/GIUXvKzH4LIexnZlcjrcvBZnZsCOGZvPK7+8enKKL71siS5D0vw3+Ao8qVeX4l7wPXoF0R3vd7Y7xOlkJuNg2Ry8MQf+4FqBynI5t3COEbk2/5PWjHjDv8/qM55UjaYTByI/kMAV3ro11JPvVxdoCZbRlCeNJdZurErNwUUC4BUv5AoMIdIYSrzOwR5PazBYpTsqGb8H5XA9Pmgv4Eypgz9wC+DyGsamYjkfC/G9r+8AcEMjwW0kCkiQ/1LDObisCE6cB9IYRngWfN7BcEOm8XQvjLXPyUr5Ew383MPkBC/E0hhH+CAvCaAjF2RZZfefE6LCjOy+XIZetaJLw2QqDqncmYjMbfIihGyS8+NyyC5t2GIYSLgIfMbDcEQC6JgrcusORrVzcEKq4b5ObwMHAJAgauBP6Ldh+okC7qh+sgofX3EMINfu+/yHJxfwRY3ZM3j/j7m6G5Z3oI4Q53idgZuZVcYHKt/DibLie/j4G1fFz8PYTwmJndhvpZvVOo45gtZrYoGgPfmNnSyBJhHQQUrxlC6GZmVwJvm1mfEMInXo5iPi/of5IKMKGggmpApl0YjgshbO63eqDFeVm0VeFBwPlm1jyEcIWZ7RZK+NY7w7UjAgxeNAWVWwP4JIRwui/0bUqVJYRwvzNwb5rZNCTcfwR8E0J4x8xWRO4CTct8UgvEHN8H7GVmB4cQjskR9j6Lyt0Xaas+R6AFIYSvzewaxCAeamYnIu3TZAQkVAJEnAEdB0wzs5eB/zOzy4N87BMg4zoze9Dzr5bwFUL43N//CIqg/S+kCX4v73kzWxVpsjdCDMNeZtYhhLC1ydd9C6SlrBCZOQIhNkfAzbUhhH1MgcU6I0BhgJm1C3XsD13fZGZ9kNvB8SGNCXAo6oPvhRDedMb52xDCtqbo4j9G6ZO2NCCYWccQwj8yvz9mZsfj/q9lgIcE1DsbWbN8gbTDfwd2NLPnENB3UAjhMwernqyjeuiPQJNrkeXLLUjzvIOZ3RMUH+F05O6wuZl9ENwnuWA85y2K5ry9EHjQyMxeQmDog8A4M7sXmXpPiMe0983EV7oBAhIvAFY0s8WDIruf53P6OaYAr7+EnNg1dfAdr/vc/wACt3ZOBFEv65II+Py9hBC6FLCzC543Ia36Igj0XRrFS7gveLDICFBdERhuZv9C89+xyN1tV1Ow21NCCGf5s4eHjG/+gkDxHOX18iUCCxqaAgTeZWY9EbC9u5ldHCrvnJH0w90RGHM1WpN2DiE8jHZt6BoU++LiUmXxfH42s29QoMQHQwivmdm1wEkmsPymuA9kgIwdEeDUBrmL/YaA0reEUzAGufzME1SHQEJDBHZtZmbfohhYuzsA3A25b4IAxUUp5KiCCiq2hiyooJpQ0C4Mgx2VJ4RwHkLtp6FgdBegxf4AM2sfMjsmwGytf3NkOrgUcg0ghHAVEoQO8kX9hKzQY2ZdzWycme1rZj2DNO17I7Pb0SGEJx1IGI328T66lCBrinZ/oplt5eU7EGhiZi1cqzG73BGD0RuZql6AFtUtzWwNf+YbJMTdhnahGAzsEgMJZtbBvx1neE9CAMwQZJ7bMHmf+VaDIYSvs3VYFYUQfg4hPBFCOCSEcHoMJJi2MTQ/XxTNgxshIXBdFGSqv5ldFkJ4GllFVAqS5+U/AgnQjRDzMQUFKrsHgRDJrgELGiWBuBIN690oHsV7Sd0iEKAnyGIkkz65/4fJeuUC064P+P2krX8EdjFFPM9tfwf4DkfBDV8M0hbfjKwmWiCgb78Qwp0+ruoqwndvNAbOCiGcHUJ4yxn8k4DLUbDSAUHbWh4PXBCKrcLmaTLtNLIREpRWQeN6e9S/T0FxU7YMruVPKJofd0ag1h/IkgFgP5P1CiGE05G1zM9zA0iIyvMCGqMN8DnVy7c1ipuwSJn59G3S7XyPQ65F/wmyNlsOgRNZAfh34AU0h++PtuT7yu+dA6xgZgcnzy6IQAJU6Ac9LNWU/4KUBonQOQuBqMT1mKyLft4Nreerohg07yKwEgT+L2tmLa3ydrzJutbfFPwYBCq1Qa4SoHn5G2QxUmpO3QK59tyFAhoehNz43kYubasB64S5vO1ifZCvDy+j9W174EoHEhojy7fBJqu5HVAw6w/rr7QF1QnZfHLMw1QgagUVVE1ygeb3EMKSZvaMyfR/7aBttj5DWplFkQC0dSgRVRn53v7kWtffkfZ6zRDCA8hCoB8yT/w5k34A0gbPRD7oa7um7AzEsJxjslB4CGkU9giyXoi1DYlJ6qLIb/N+BHz0RkGY+gH3Bpnm5lEzpFW6wXwLRGBNU2TvR4MsCG5HbhoNQxQd3GTRcC/yGf0YIf7HogBfnZCFxs8Oknw0N5ht14qtAixiZj8j39ELkdXBfsgl4R0zewyYZGZLB+0Fn82nK2Kan3Jt0/3ICmMCAlO+CzJrfQNpJ++tCRgyr1MI4RIz6wK86prIJ0MIh/hvwRQF/25k5luBTNHtrzKzx0MIByAXkb+FaHtJS3cVOdXMrg35W0gm9B8Un+RVZ/gaBrn9vB1CmJ4pd122wdpIs3ddRiP5lZldikyYTzezvYK2OPtHucwKmifoP8jiqmGQuf5OKPDcFiGEy5CmPZdMW5jugAKM/gr8anJ5OB9tp3hokIXCd3P9K4AQwhtmtibwgGkrwK9QELkp2bUp+oYkOv1JZtYeASsHADuZ2XYhhGuAJ6J1JLYWmoUs1d5Glg2HBZmJz0TrwUZmtmiYz7dBzSMX3H8J2tFoL6RceNZkcbcjiv9yiWkXnMFo3YzTj0fr6CnICnAW8I2ZHenPT3bgdXMUB2Z00HaSFcjbZDwCcD71922C3L62MLM9EDhxTIh2MzJZyjQP6S5LKwLnOJi+vpmdBRwRQljfn28acnb+mJ8pM4f/aGaPAm8h19EvfTxdhtznuqAtTos5vaCCKCwTCiqoWuQLze+mrQ8JIawEtDSzROt+PzKNOx9tO/h8Ng9f6CegvbVvR/74Z6N4AYeYti08E5nLZ4GEfsjc8egQwvQQwhikKeuOLCLuRJYFVwNrhBAuDSHcn7w3+oZg2g7sdhQU8nZk2n8vinLfE9jdzNrk1UMI4c3gJrNBfoKXIfBkrJmN8vtfIc3UC5nkw5HrQUfT1n1/Q0EfL0Fmw5+a2dqIcZ1bvpgBCQy7+Xsfd8ba/Ds6m/xUl0RCQSUgwakZMl9d3cxWDSH8FkK4GmlxBsNsobk58pVfYIAESy1GjkB12Bcxr8nvKyNz/59CCA9l0wdZKeyAQJbDUEyLbzLP/BGd/1/m/Yn2rbmDBz8hZnmyt8N/vQyHxtq+uUBtERgIldfS5sg0/jHUVwqaP+hXP5Yxmeb/iqxcfs4+mPRDP2+M4s5cF0L4u5k1dvD5e9TXQXPPn0o+B49B1lPXIeudt6JyW+b5WQ64EkL4MoRwDhJ8r0YudMlzFYAEM9sbxYjYF0W7/x1Z6ICszhqg3RwWOCDBaShwm5ltgoJsrocCXY4E9gwhrIfW+gdR4Nc3k4S+5h0HzAwh/D2IPkMWJTsDGzjIvjVat34KmW2NozmxMQLmNwghjEJKhgvRPL0PCga7VQjh5kzb9wQuNFk0gta2rg4KE0LYDW1J2c5//5UFiDJ9eWWT+9ppIYS9kVXIkQ6u9UVWOkeV4Q0KKuh/jgrLhIIKqgY587QmMNHMPgHuCiGMMrOnzeyaoBgKN5tZ1xDC3zIaGwDMbDnke7gPMoO9AGlsjkHCbDekDbgjk64l0oi9FKLAXUEBlQIS/u8IshZoRCrg5H3DOLRbxOfAMaZgTte4QP2MKYjj1mi7sO/y8km0xp7np2Z2BQoytZ5rth4OFc03W4UQ/oOiIW+ArCt2dC3OA17ejmbWy+vikCyYUhdkaYC0d9Hc9xLQx8yedgH0frTtVV/g7BC5NkRAzEAERnyNmOZvgSkmS493kHXHN143P5rZLqGOzOrnFXINWWMX3M9w4Ok+k7vLEghYODj4fvYJZTQ/b5q0vheiOg9m9hXyywZta5drzRGBcjujfvw06rNPeB/61q8PC3XkR1uCngX2MVlOfOAgS4MgK4rlkZb2pJAxCS9o3qUgN53HkG/4Bz4/booi38+mjPCxG/KdfgcYb2adXRjEzDZFe9Jv/2d+R0xB8XiWAmaFiu5eyZy2OtJWN3UQ+vf49xDCw2b2bMi4KkXfvy3y7d/Chdx/m9k5KFbCi2iNW2cuj8V6oaiOzjSz3xCAcntQrJQmyP3qcDM7xQXTbPrFkZviVF8PmyDwsTmy2vsSmOla8nHI4vGf2Xy8HSeiftsQWTa8HEJYz8xuRNZyE0IIj8dpom+4yrGF00yxEu5AQUQnmqwrBqC5/dc47YJCmbG8BVpTVvSxcRRa6x9AO5NMKpVPQQX9r1JhmVBQQdUgU0TvM5B2Z2ukhSGEsDKwpAvhoKBvpRbbRYHnXdh+FG35eAjy6b4EaQOGWerriOf1A3AnErg2tMhqIMgi4d8o4BchhGtCCDOzGif/hoWRj/+pIYRNkCnmrsA2rtEgKMBTe2BsTvpB/kwF94MQwqfIP/07JNzFaRZFwegWRoEQGyJBsaVrjS9EZp0XILeBw4L7tufU3xyTM0x/uBC6NgrMeAqq+z39sYfQTgzjg3bjmF0GZ9bGI3PVbZHmvT3qE/9EjNdZwA5B5pCJ9n6BAhLMrI9rXH+LvnEGCtT2OgKKDg6ZgJtZ4cvMtg4hvIN8Ur9HZqPvoiBfLYD3SzGspp0YZiC3lH8hzd+7KHjpD8htZo8Qwm113Y8y9BxiOqeYWd8gt4zfzWx5ZBrepAAS5j0q1SeiOfACZGH2PhLsJoZM8NaoL08mnb+fQZrgDc1sjP+2NxII65VCCG/nfYNpl5PTURnPN7Pp8e/ReRw8tb+ZDY2y6ovM5v9qqSXQR2g+Pw5pyT+p40+qd8oqDILiJ+2PBPDlgqxa3kIAeVuTZjtLv6A5779m1gzFJrgFbfm4H1I+nIP61uQQWTRkytIXrUvXkArCa3u5NkI8wtKZNOPM7EwEIHQMitl0Iur7Lb0sq3oZdkbuMQtszBeTReImKB7EV8jl800Ess1AvNL4UMRIWODI5pO/eZkKy4SCCipBkeYm2Q5rN7T4/4oCqgEQQhhsZiv5eW5kZKevgC6mHRi+CyF86Fr95kGmsdchDc/72TxCCBea2XakWtyHooX9ZTLbO2UFMdOOBe8BLwJNXSC8zcw6I6uHz4H7zWwxFLn7iUz6EcDZZrZRlin1931sZseFaKs0p19QkL4WSNjbApmErodiNlwT5Bd/MdKc/ZhTb7Umb8dJSAg9PChmxTOIaRpvinA9EJmA/pikib5/SaR1mohiPnRDri0Tkfbp30ggTqwS5lpwtfoik8nr7mj3gpdRP0xiGxxlZt8jEOC+bNpI+NoV9YHN/P67pqB1ZwLLhxCOzXlvyxDCD5b6c7dBe6V3R2bE6/ijX4UQjo/Tzk0NWlBshPsR8HamA4o/IiFg7xDCq3Pr3QXNGWVArZ2ADrgg7QBZYnHzYNmMlL4pEj5WQNs9/m5mf0FBCqcjIXHbUGJb3vokU8T6xggY3wRZJryKXDrKpWuExtzNlu5S0w4JYHeF1PpgNNoTvWx+8zNF/Whj5Bb3AXIf/B1tEb1FCOE5M3sNBerLcw34Dq0jJ3seDyEg4U0kwK8QQrg2m8gU0LMpchXsidwUrwohXGaKZTQexVRqFEK4LcjNIk4/BvEwZwKD0Lx+gFsoNEJuLduEEKa5IqBxUIDlBYacD/sVaBXkSvcy4r82A0aEEBY1be37vpn1C3W0A1BBBS2IVFgmFFRQDkVAwgS09d9HSGi8EI9i7FYCewKEEJ4pld7MjjFtD/cusj64GFjDNd0b4f64IYS/AqeEKDiW55FEfr4E7RQxCVjT3zMICWclGVaT//hZyKf3axSAsJP//CTa+us8M+vlDMNqoaI5bB/gYGQ18J4zG5UoCyS48PcjAio2Q1qOoUGBJh9CmpLtTFGv/50nxNcVucZsay/HAw6u7IqsJC5CAM6BIYTXozSJH+rSSEO5DgpsuSMCRGYiH9huyGLlS2Bbm3vxHuqbfkGg0ARQOwVZeyQWCmeGEO6LNb9mNsIUoyMBI8ah+vuXmW1pZocjC4+9gRFm1j6Tvj9wu4NNBzpj2xS4AsUIGRtC+MTk63uImbWpa2sE0+4mff18GTPrmPwWQngMaQ4vRbEyOqNo93fUdTkKqj1FAuBoZJn1LRL+L/L56rd4fsv0xQrnQQHotkLuDdd5/g8ji6cN0K4Ps+eTeYGib2jk8/WHaE48DJX3czPbwrTVajbtksBSQZYbbVFQyUGedqyZHWhmjUw7AZwJLKjz4GwymcXvi+bG5ZFlwEzEK9xtZsMcbM2NMeD98QJkMbgXMC2EcHFQAOTfEFCTfWd/tO4sCywU5I53HwqU2D7ICuQutKZNNLN2mb67OrJ+2MB5iieBJcxsV+cBkkCjt5nZ6r42L2hAwni0487tKIbVAUHxKv6BlArX+KO3I94qz6qkoIIKciosEwoqKIdciF8BMYvnIEHxO2TG/ZXJzPNwpIUslX4MYhKmIPP4ZiGEHU0RmiehQE17hBCeScCHEEWtj+6FRCsbFEUfYLTJf39DYN+gqMuVyMx6IHPF6/w9HyNm91DPZ2UkJO+E+6uHyr6tvZAGf1PT/uL/jTV8Oe9sHUL4Pig+QQMXOC/xupzg2pKbTWbFI5CFwnd5ec0pRQBMUsY/kCZuT8QI/x0YBXQIIeyHQIWsX39w0GEGsFOQJclGaIu/b83sVSQ8dgwhPGHat/u7MBfiPdQneR9qFrTLxZFoG8cVneHNc3uJ+0VL4GNncr80s78i157GwCeo7UeEEI41s0mh4o4OAxF4dzlqv6HA8CAXlPFoW9U/TL7CJwD7hLkTKb89cLyXfSjSGM6O4h3kH/8X0m0yk/sLlF/x/Exm1gkFrvvWzLZCgNiOIYRnoznyfDPbMZ6DI/AhtmiYBrQzs19DCCea2QYIjLg6hLBFSF1b5qkgdRHAPRq5eu2BLGmOBJYOIbxvZkOQqf5OmbQtkLZ7aVNk/4+Ri9GWwFWoPm9EvvV9gPXCArhtYM66tyQCYd41s7Zojds7hLC/mbWiGutakBvjM34k79kIWQxUsNQyWR3chFwVb4yA3F3M7DQEvE4Kitt0M3BzqLw19NcoJkNvBCYdBDyFtkJ8yMzGhRCuMO129Em1KmY+IlPsqxOR9dCXCCC/1bTTyH6ofpZ3oGw5YMOQE6eioAWHCti/DiiEUBzFURyZAy0wM5GpZnJvG+A0tPA+hiwUAMz/twWWiZ4/Ei1GEzxNz8w7WpV4d5Jfy8z9RtH59shKYXycJievpdCOC88grRLITHwN5GPZHwnV7wJdMu9fHGjr56sgbdNByIcQFGwu+76myPpiz2y5EVixJ/LRTequw1xou7ieVkLRzAehmBV7ACv7b0OBW70+KtUfspy4ALk+gCy5DvZ7U4HXgCXru6/O5XGwsvfjt5HgsCzSxK1Zqg/k5NENgTcr+BiZCHTz36YgLVqzuA1QoKu/AnckfRIFLj0suj4GMdb3VjUO6qAeDkSC1xFRX7BMmefKu4uj1m3XAQVRa+nXawD/B+wf9aXuyLz87Cry2g1pcpdBW3+e5ulbI3P1i+r7e6so/5rIkmLN6N65aH26EAWlnZRJk6wHHXz+uxQBzIsgQP1UBCI0RPP/ovX9nXOp7uKxnqyVd6Mgq8n91dBuTHP6jo5ojXoLX68zv28DnOHnDZA11M4orgc+V78OtKviPcshq5yv0e4Syf0TEDi0QM5lwOoogHIvv27s/3v6nDANrVE7otgRy9RXWYvjzzmGDB0Wfvjlj/niIJJH5rWj3gtQHMUxrx5IAP0IbceY3GuFohp39OuE0WqCNDpnA8P83sHOoD4I9PF7myJhzCgjiCFz8CeQELNKdD8WlBePy5Apz9JIeFsE+fLPQMECB2TeMxiZQy6VuT8R+dA+gjSu/ZFm6nTPq0mZsq+EEP8do3vJot3Qv+lkoP1caLN2iKlvDQxDLhZnIh/Uo6LnJiH3joll8toWeB4xy4tE+R/ljMZ69d1H53L/T3Yk6Ia29TwJuct8g2Jv5AJB/uzOKJbAwlFdvgKMSvoDsJ23y8AS+Szn/WjnaDx9giKNX4yAsu7IaqLCOKij74/H1erIFeNlYNPofrP6bqfiqFZbtkBA2E5+PQpp1zdI2hq5MHUs1ReQoHezzwHTfZ55HriSFFDoVN/fWqYOGiJN9yS/bhb9thKwIjA4+d742/3/zgh8fQO5GS2N1pdDEcC6yp/xHfV9IPe4c3wO6492StjHf9sYuAdoPYd5L4SUD71L/D4SAT9rIVDnOm+PK5HFHMhtb6VqvGtpBChsnvm2M+p6Lp1XDgQCzgI28mvDeRmf4x/ElSXF8b9xFGBC3Rz1XoDiKI558QAa+v+lkAXA4dVIswLS1JyITAgHoqCL0/z3FZGGd40q8umKNB6bIJeEE9G2TsnvjUqka+D/x/l7jkFo+2C01/dhSPvUL5Nu8cx1L2TJMMSvz0XCcyuk5T8XR/bLfMOyzqjsmKnPfs6Ulk1fy7a7DEXaPxkY7ffaoACUhzgDcQUZbXb0P9G6NUSavGuAdUkBBcumWdAO7y8vAmtH95ojgelQxMQmgliD6Jm1EHN7tdfbYaRA0hb+22p+fRQZcKtMP7rVx+EQBASdhBi/vnPp+5P2XRnF2kjAwARkG4+0WUdRAArz7EFFoXhTZIo/xa/HICB1s6rSRvdaIYHuSb/uhVxwDq7vb61mfZwDnJe5NwxYLOfZJtH5ygj4a4li3+yNhNbeSJO7P3MBHJ5Xjmg+2BiBop39uiFa11/zvpVrUVCH5WiOLBdeRVZZq/patTQKwFjT/BILhcnIquLFuVn+eeGI1pQEWGwQteMdlOCvimPBPAowoW6OIgBjQQU5maL7YmZNg/z9F0OLzDQU3OiInDRd3AePEMJzSEj9zdN8j8cjMLOrkEnsfkFBurL5JMH+huCCXAjhek/zDTDStHURIfLp9TSt/P4fZtYNRWYeh4Icfgd8GkJ4BWnVvvZviuMK/F+mOD8hEOJr/31nxDTuDjyMgJW/lqvLEMKLiFk/zsx29vochUCKt6tKPyeUBE4LIWyDwJgt8QBWQb70U5CrSUAgxz05MRLGoXraF3gWeBS5u6wNjPF4ECFOU9ffMY/Qz0gTu0l077egWBhHIVPv4ZDGTPDAXjciE+otkFVOp+A+5CGEqxEIcJXHIzksaHvIkuT9aHWkSX7Y+/FdIYR9kYXA++XSzyl5XxiFQJFVgKfNbM2grVgPQtYqdwHPhMo7mBQ0D1E0z12HAK4xZrZt0I4NewD7JXNonCYZ22a2rpltb2bLhhD+g+bHf5jZ/7d31uFyldcXflcSEtzdrUDRtkhx1+CFAkEDBFoIrgGCayktFGhwd7cQJLi7O/xwCVAsSIIk6/fH/oYMl5sQuZOZO9nv8+TJvWPnm3PPnDnf+vZea2JiEnc2xYCxkaj6TplTw6IczwW+k7RZuW9Roppu1hbP/QPhE1IxG50AGGD7G9v3E0LeHMTneWqi1L/uEZhtjaRlJK1WdZ5fCDjP9vuK5I8hDu+YxYhqlRU9nPjGtsD2d7ZPAla2vbHt+21/QbTwzSFpxsrffSRf73Hie/oy4ny9VS3H3whUXZscU65NhjpSguYjWtnGq+sAk7GO2sm/RiYNGJNxnmJiNANwZzEveq1Myq8gSuNvlrQFsSpV/bzOxKRqFklnESXZ1xKTjOWIFfgTiYlQJ8Ij4a3WzAvL5GUl4kv9VmBrSdfZfkbShYRHwkqSHnKVoVK5oD1D0t22zwLeJ0SEzYn4xbUdpmN/Icovj6hMflqbCJcLERNCyB8lDXREUJ5NrMYMJaotfhPbTyhMKPsVM6MVgB627xmZ548qjmi2hYh+1iPKe9lL0oO23wWmAuYu++y78pyf94HCJftwwtRyGaIaobPts8r12fqEV8ZXtRh/PakyZ5uRqCR4pRyP50o62vZBrorOA74Blir78tuyH/9HlJNX+oZvUji870+sAN9h+0JFhOSnIyvE2H66mMbdUo7HE8tdNXMYV6Q39CAi/+6W9ABwfNlP/RRxbxO7lZjUpL4o0lQGl+Ors+3vNSzC9PpyXthA0vi2+0i6xy1MZ6uEhJ2JipqLgVsV5o1vEmLrpYRXQFfbb47FtzhSlM9zV6Js/TtJTxAtZi8Bf5XUgzAXPbiIdNW8A8xDCOGnEN9z35bJVx/bz0l6nqjK+MpNGIVbmAM4UtIOtu8g2ubmlDRh5ZiRtCEhtDw8ohdqS2x/XrY9HkW0Bw60/eFovNYTkhYkopnHifNZ1bVJf0mfEpUKewBbuskMlJNkbJBiQjJOUyYHQ4EPJF1FRCmdRMRBXmf7ZoDW1HrbP0hajyiNm45YDT+d6KOdn5js/BM4tqygVlb6W5vEzwfsCGxq+15FUsBdZVXkSUU03vgthIQJbH8j6SZgU4W7+AVlVenPxCrJB5IWI1oe3mrlorHlezIwQFI/oqd9CUn/I9y9dx+JXdry9Z5QxGveRWSuX1u1Uthmq/qVyQJRZr+wpCG2D5c0PhEFeRvhHXGiwz27Nb4lWiQWBHoSfgrfSlq+CAo3u0ldncvEYwPC5LCzpPsIY8PuRGzoP23v62FO9R8SwtA3Va/xXKk46C+pCyHQTUB4jywBnCTpn0Rvb+V1RnZ8TypSG+5QuJS/15bHTzWSOhJ+D/MRcZX3FRFkKNBH0u62+9Zi28mYUYSEzYCXJS0PzCdpe8AVwcz2deX4XFkleaaV1xFxvlgGWJUob38GuKV8Vv5BGNR+ZvutsfPuRg1J8xIi9DqOSN/biXaEw4gKjXmBr22/WSUmVlq4vpB0OdCLEBV2I6oa1lak1txPGFmu44jTa0psXyxpCHBiEZZuAU4DNpb0MiE2HEAIzWOVIiQsQURK9q5cq4wOtl9qs4G1E6oEhceIhaCV/BuVckmStI5qdD2WJO0CSXNULgbLSmx329u0eMxwYxDL/YsQpfDdbd8gaS4iMnJO4oJr4dbEiOrXLRcq3Qlh4lhHW8AuhOHhko7SvOrnTsKwSoP+pfJge8LP4DFC2LiX6AdcjbjYuPG33pcitvGnqv0xT/l3s+27hrcPfgtJExfhY4T7cjRetxI9OU1FaJG0J3GhfL3tWyUdSezbVctFdeXCebyy2t6x7O8ZiYvkCYEZy2OWJqoVtndUNzQlkmYhWhS2IaoONiUEsj5EtcE55b7Xf+vvJ2lx4HbgC9tzVt2+DvC07Q/GYJyT2h44us8fwetWjolpiAnWYEndicSP+4Gry/3bAG86Sr2TBqRMEM4jjuP1q1dbW5xzJ64Ww4ZzPjyYEMMmAdYq55qdgf62Xx8Lb2e0ULToHUJUg23rqO6ZgGGtbj1cFcPayvN7EhPkC4i2npsIk0UTQutPRPXR8zV9I3VA0nQtRWNJWxHf6VuWm7YnYoHHB3rZfm7sjvLncY1H+F0MaOvv1nEFRQTxOFOVkfySPy26mB945PF6D2OkmKhzhydtL1bvcbRGignJOEfVxKEzYdR3F1G2egLh0H2z7f+M4msuQUygDrB9WtUk92exYjhjWBmYlBAGticmwQ8BV5X79yA8Bm5v5TV6EK0Ue9m+pwgKOxD93E8SIsKUwLO2HxrOxfJahJP3e8BlZcJfKWVvM6pXvtrigkfSrMT56x1FX++5wDm2ry7370u8/38XQWFu22+U+6YjyuyHlqqJbYi/e19gJuLC+WgiJ34XwiPihjEdcyOh8AX5vvw8CdEnegsxYfq87NMzCX+CMyRNZPvbUXj9hQkxazfbF7XhuNv0OGrxmusQiRHvAgOJSpwdiH7yp4jJk6uf0xbbT8acFiJBJ6JCbAHi7/lYC9HgZ8F0OM/vCXxPTKQPJQThbR2tP5sSJq7rNVpFQstjUlGh1pNIrbimCKkTEIL1Xq0JAYqqnM5Ei1+fcu6cjBAaPwF62v6qWY9/RYXgS0RryMu2z6y6b1uiCmA724+XfdnZrVS2JEnSPkgxoW1IA8ZknKJq4rAmMdlclfA5WJBYzfqIKB382cBqZLD9WHmtwyXt4WE9pG+39lplDBsQE/8fyirRhURv+dLAFmWsJ9m+vbWx2D67PP8USSvavpbwNtgNWNP2FbZPs/1QZZvVY5G0AJEUYcLR+yxJk5TV+p9boEZlP4xg/7SZYaGk3xMT/g3Lxe+3RHzl1mWfYvufhPP4xqVqoSIkLEgkClynMCXbk5goLk6U+H9HmFcuSFRk7OeoNml0/5uRRuERsrWkLRSGn5UVx0eBLcv++oiobpmmvPfvhv+Kv6as1K0GXFAuwtuENj6OOlZeS9EKdBDwV8J0c2XChPJsok96aaJS4xfjSOpPCyFgMcLLogfx9zyUSGRB0qqKypafWr5G1fP3JvxmHi+C6slECswBkq4j2gS6NaqQIGk1SYcpqmreJqJcpyXOlfM7+sFXrxYSirgKgMNQcBBxjpxdUb3xFbAr4SWzs6KSq1mP/28IMX8A8d1xoaT1ynFzHnAc8d2xqu1BKSQkSZJkZUIyDlJWo48m3ORvrLq9K7Ga1Zu4YOw3Gq/9Z8IAcQFG0NetSI64lFj5/IiYzC9ErIbtQqQnHO2qflRFD+wfgYdcVXKvMAXbF9i1VChsSpT17wB86FbMsSRVDCKvcJiSzUxMpqclkg7avJS8LZA0J7FqdqLtS6tu70REv21EmKU9TcSgHWT7yfKYeYh9fgmx2rw6YbB5uaJVZV0i+vACN7mjtaRJgY+Br4FlHaajGxFeG3MRVRqHEqtwY9Le8kfgOzdYCaminWELYvX1hzLO3xEC+x6UCWNZqXydSKVo2jaX9koLIeHvRP/604RhYB+izH8/ItZwc2Cx4QkBkqYkBOUtiNaeFYlKpb5E5c50wKsegzadWlIqaw4nBOZuxGd7dyJtYXei+uxEYJCHJbBUr8S/5DDxRdImRKvTKcDjhKFwd2B/2++MvXc19pH0b+LvvgUhoHQjKvz2Ic6Z8wBvuAFNN5MkGTX+tOhifvCRJ377gQ3AhJ3VsJUJacCYjFMoegw3J8qv76tanRxSxIN+kt4gJpqjLCbYflTSTCMxGR8KTE70o05IlNWuA8wGHAXM0EJIEGHQuBtwtaQB5blDHOZwHYF/S9rf9hUKh/IRmQX+RFwsDwCuJ1Zf/wkcTDj4b+qIS2o0liXKli+Fn1cilycuiB8nojCPIN7fUVVCwrzESvtVtk9UpBDMRUw+Lrf9rMJoazNge4XPwhfNuAJXyrwHSroS6Fr+vWb7GkkvEKvycxF91aMtJEAkMYz5iGvCDMQkcaoiRA0hJmIDidi1bxXRkPsD26SQ0JhUCQkbAQsTYusSRKLIPkTl1bvlvpOrhYRWSvV/IM7JZwBdiJX95YGJHHGoL9b47YwSilakBWzfUYSQ9YnJ7yKE8PEGYRa4IxH/OMS/blWqXon/q8K08lLbVypMKrclxJhZgE2aWUioOh56EVWCUxP7ZSFKCyMh/O/tFukfSZIk4zIpJiTjGp0I46Tpy+9yRArO42GZ9dMB85ZyztGZUH8Nv1o1q5ShzkOs1L6vMHXqSVQH3FsmxjsT18i/uGgrz72VWDnuDfyLiIMaJOkE2+dJGgz8R9KyLYWEqu3PQKxMPVwqNK6S9KKjZeKDMomerEGFBIhYxk6SlgT+TggxsxCtDrfaPkHSQ0TyxQdFhPk9UfHxFjCw7J8HyurbuZKuBza0/YKkK4j983kd3ltNqToeJ1NELG4jaWrgeUmT2z6M6Jfu16yThiKk/ORInpiCqEKYCtibWLU9hIhEnZuYjPay/UndBpyMkPL5noyYAP5YPre3SvqJaLM5HDjJ9mUtn1d1bt6MEHO/AP5CTMrvcaQcbEwkGHQh2tEaSVxcAnhd0Zr2uaRDiX3Rm6gq6EIYLl5AnN9+5YNTvoceI4xGuxJiRM/S7rEnUc3wEtDJoxE72J4o34+VdrbXie/YRQl/iesl/Q74XwoJSZIkvyQ9E5KmpnJxIGlGSVOVftDTgTUlLVmEhGWAyyXNXSoXvidWH0ZrQl254Ky6WO1QLlTWI0rwj5J0PCFk7FmEhPUJE8HrWrvoK6/Xn3Di3tz2BkSv/67ALeXi7x1ghdYmwmX76wMXAedI2t72U0Tk2T4K0zFsf+AGjImqusi7B+hIVFBMCZxueyliBXkjRb//Z1WlyOMT7Q4nERfKExDxn8vaHgz0IKoZbisTjOdd/BWaiSoxaQOiTaRvOQb+R/gB7CbpDMJobZY6DrVmKAxXV5A0XxHu1iRMIr8mqlnOJlo7NiFWpPey3bfq2EsagBZ/j862vwS2BiaUdAyA7TuIv+1goLVJdOXcvAvRVjaEMGFd2Pa5RUjoSRwPJ9j+vlGEBEkzSVrGYQr7EeGZs1nVZP8Z2/9HnB/7E6bAv9oHVfuxF+GZUlmJnx94k/hMbAZ81exCQgUHPxDf06sAl9i+vtz3uu0v6jm+JEmSESFpTUmvSnpDUq+xtd2sTEiamjKBWoe4KBxP0hFEuerkxKr07YTh3l4eZtJ3fltcOCrcnoc4erKXIMokuwI7Ef2YXRRZ3k8SSQ69bd/USvlt9Ura0cB6ih7//Yi2h/eIntbBLvGIrYxlecKQrCtwJLBvEVeOV8TdXSnpRtvvjen7bkskjW97cPk7dnI4if8dmNC/biX5DmhpdDlIUjfbA8rrXULs+3XKLn1QEfV2NrE692Tt39XYp+y/1YhjYC1i9fLIsqp5kiJ9YXPi4vmBeo61hnQhxKTTCH+EVRwO94OJ1eijgH/ZPqe6KqlRJpFJUCUE9AAWkfQacCchAp0j6UjbB9vup2j3anUlWREFuyIxaexJeN3cV6oQOhHng00bSVwtAsBywC6SDnfEAj8GrCTpB+BWYFFJ5xHn+m09nPjGkVyJ/8wl9WVcopwXehEmlBNmNUKSNCcCmmW5QNHu/F+iKu994PFyXV/z77AUE5KmRhGPtTMxgVyIMJG6BLic6BWdGrjI9pOVC6s2EhKmJCZud0q6jVj52QVYjJi49Czj2oNoV/ir7e9bExJajOkdorx1H2AP2+eW7T34Gxc80xBVDEsRF8lHArtLmpwoBV6olcl5XSll6AdLutn2naWKpKPDjX1gecz4wJJE5cGhbqUkvUpI6FAuEi8CtgK6FoHiXklbuhWjyvZOVUXC+MQq7e5EJcLiRMzZ0eUYON728fUbae2x/bWkT4A/AA8Ck5TbH1KUxW9KHG8HENVJSYOiSAjpTpw/rwW6OFqctic8ZX6wfWT1OVHSssR3wFvAw4SZ3peEQDsXcQ4eImkHIiZ1x9GtTqsV5bN8G2EIuaek7233Ke97PeI9LUMc46e6eMaM6PWAHyRdTFRy/Ld6Jb5276Rd8AjR9pIkSdIeWIIqc9iyWLk+0apWU1JMSJoWSdMCfwOmcPghvFYmDdsRE4lLbT9beXxbrkA6elgHE6aKg4F7y4XqMUTZ6Z3l4nZOoqLg+5EZg+1PJPUmIstuLO+zwwhW3+YmPBquKStupxFpDU9LWgmYlzB7fLst3ncbMynwGdG+8KPt+6ov7hURh6sRBmOH2L5xeGIMQEUssP26pAuJtIu1JT3XjOWrVULCWkTJ8rKEJ8IZwL5lEr0SYbh4FqMY/9heqNoPsv2YIrlhBWAnSdc4jFffAu4i3PoH1XXAyXApgm8XwlF/O0IUe5UQEyFMEzeiRWuDpDWAE4Bnic/B4raPLN8HuxJxkj9K2pw4L/RtNCGhchzb/kLSNcRnuVc5/58jaShRqXaFIyZ4pMmV+F9j+xVF+8g4vy+SJGkXzERUKld4n/BZqzkpJiRNRYvJ5FfATcCckvYlel9vULi3V1af2vxCoVIibfsgSQcR0VIdiDLaH4DTJO1JXPT+zfYro7iJZ4hWjeUkXd1yRb1q8rQk4Q/xkaTutj8uF88HSToFmA/Yp0GFBGy/U6WsbikJ2/fBz+9xaFmle8rFbHFkBSHbb0g6u/zcdEIC/LyK+UdigrF7Eay+l/QR0F3SZER6yP5u0Li7MaXqs7A2kRv/CXAZUZk0BSFU/ZlIAditUT8L4zJlslwRAg0MVqTZXAZ8bnu18ri9gI/8a7PFlQkvkHltfyRpXeKcgu2/K7w0Hpb0CFHltI3t98fW+xsZqo7jRQmTxXeB8wnRZF9JQx0mvJ2IFIfRIVfiW5BCQpI0N0899eRtE4ynqes9jpFkfEnVOZZn2j6zbqOpQm24GJskdaXqgmtFYqLwvaNvdk1gA+A14MTymGlbK4lvwzFM4+JfIGk3ouz0glJSfwSxsnap7RtHczuLA+PZfmg4969BmBSeR7RXPEW0XYxXbp+fKG0fre3XkpaigKTpiLaEeYCLqwSF0U3bGCdQmIluS2TIb2H72lLNsSRhRrki0RpyU/1GWXvK5PFwQlT5O9FqtD0xedoY2BI422FolzQoklYBprR9VTn/HUmcDy6WtCkRlbtpS3FW4QfyNLCVh0XKPkQIzc+W74iuwKeEW/9bNCCSViWSGfoR0cV7Ee06axCf88Ns3zOG28iqhCRJknaIpKWI74E1yu8HANg+tubbTjEhaSYUZovHEGZSexF+CCdIWp3wTXjRYTr482pXDcawNnAYUUHwSalQ6Emsfl7uyAUf3/bgUVlNH8UxnA88bvu/pb3hEqISacfSKjFt+b8m2x9dqsSY1YFVCVfxm4g89B2I3uYrbd9dx2E2LFX7rwvwk6O1Zk8iueBo2/dVjv2K4NVox8CYomjt2ZhYvX2e8Ih4gDh29gWuI0SF7RwRoZ0dJqlNtR/aO9V/D0l/I87nrwAzECaiaxEtC/MSPlq7ejhmg4r0jv7lNWYA/gq8TETLLki0Sfy3Uf/+kuYnfHIutH1PEch2JQThOxSeCc/ZfryuA02SJEnqQqlMe40wFf4AeJxIf3ux5ttu0O/OJBllJM1ErNzsSBiR7EFEA15v+zBF7/h7tl+o4RgWIUzuribMvXYChtreprQ8zEX0q39Wo+2vQ4gGsxLO9X0cxnNTA88RK3n71WLbbUURY44A/kEkDHQA9iZi0HYnfCb2adb2hDFFEUHaDZgOOJHoI68Yf55s+67yuKabPEual4h1e4YwUZyFSGl4E7iBaCt6UdIDRIvHH4Avs8KlsWghJExKiEN9iwB6JnEO6FbEsJmAbx0RkSN6zcWB24EvbM9Zdfs6RJxiQ7U2wM++MB2Ic+GaQB+itPVHRZrFFoToKocxbZIkSTKOUqrsTiIi1M+1ffTY2G6HsbGRJBlLfEkICVMSMYxrEPGJ+0o6wvYttRISJHWUND3wKDCJw9TtEcIAciJJK5YP9TE1FBIWI1Ze3yVMyZYgYsImIdIcHiUiEXvUYvttQZk4rEWsHA4CZgReIEr1pwVOAY5KIaF1FOklRxOVOZcS7T2LA32Be4jPwhTQfJGHkmYGbiNWa3cg9sFnxLH/E6HYD1LEpD4BrGX7sxQSGotSOVMREvYkUgb2IIRFbO9I/C3vLtU1H/yWkFCe9zhhvDmFpK2qbu/baEKC9HNY2eRFJDgQuJKowqgYar1A+AJ1TCEhSZIksd3P9jy25xpbQgKkmJC0YyoXXJLmlzQr0NkRiTI10M/2V8QxfgqRQ14zHIaLAwiH8fUlrWB7aOk/HUCskGJ7dM2xRoikGYgL7kG2n7J9G3A30Rt+IXA9IbD8hzCBbBiq/o6zOuIpjyHKlg8mJhBnADMTiQM/NWpPc4MwO/Cy7Sdsnw1cQXgFTAmcTazMN6sQM5AwVF0QoBwnHYGpyn0dgEMI88W7almhlIwepSJhaPm5EnG4E+H9Mq+kbgC2dyaEo4lG5fVtP0ckwFygiJdsSEqr0rrAPZL+Q5j1HkUc34dJOodYfTrfdkOdz5MkSZJxi0xzSNot5YJrNeAiyoWlIt7qI2AZSUcRk+mNbT/Y1mXdVf3pfyZWf1+yfamkQUB/SfsQxodrAte01XbLtuckVvC/Bj6zfbOku4DtJPWwfbbtUzUsk/xrwnRxV2LVvyGo2odrEjFnOziiG+cj9ucbxVTmAaKnOc3Bqqjaf53K6uRLRG78MsDDtm+XtAEwp+1XCe+JpkNhxjlQ0nLAbaV38HXgd0Dvso96ENFJR5djrOnaPNozkhYEZpV0LyGK9SM+849Ieo+oNFuh+M2cZ3vv0dmO7ScUqQgNdy6p+jxPSZzfDwaGAtsQwskBhCA2P/BP29fXa6xJkiRJAumZkLRjJP2JKOO+jTDm2hFYjnBnnwNYAPjQ9h01HEOlP+kWwtjrM6A34ZR/Vfl3gO031Uamj8WM60bgZqLKYHPgTEJUWQZYHrjf9oVVz5mOskpdVucahlKafyXFEK/cNhFRWfEa0RPcw3bfug2ywSiTjclsv1WEmBWJtpDLic/Bl8Sx+BxRmbKx7afqM9qxQxEUhhR/kOsJIWER2wMkdXFEYyYNiqRdCbPM84oItjdhurpOERWnI1bo5wEOKVVMTYekpYnvsZls76aIrlyKSOW5D/gvcCwwCXCO7SfrNtgkSZJknCfFhKRdooi9e4hYdV/LkR8+JeHSvgawfa1aCqrG0Ak4AbjJ9p2Sfg90Bca3fbQiruy/wNq2H22LlVBJkxHpBufZPq/cNjNwLnA/0S/fjVjV6m/7gqrnTmB70Jhsvy1QuO3P4pLIUMp517TdsxiOdXK4608A/B4YYvvZXEkOyn45EBgCPEv8zY8CtiZ8Ol4ksuiXLv+f14xCjKTZCX+S56tWdCuCwuSE2d7Ntg+v60CTEVLOm3PbvknSzoQnwMW2+ytMazclxLDXJE1LRP5+Vc8x1wpJyxLtSHcShqnb265U2qxAGNBW2jP2IgxVP67LYJMkSZKEbHNI2iGSZiOMp7oSDu27Eav/n0s6g+iNnrLW47D9U5ncbwTcafvl4t2weynFvaLcf2W5YG6Lifz3wDvESj5lO+8rosEeJqLwriM+279YsWoEIaEwA/C9pMnKpOBDYBFJi5ZVth8U0ZBTu+TCQ/MZBo4utgdJup+o2NiQ6Ju+VNK1hMiwsu2dgLMr+7hJhZiuwKGSVq8Sm4YUQeFLRXrLA5Imt71nvQeb/JoiHq4OLCRpiO0+5bYtJVFE2SHAXQofmv+r74hrR2ntOg74uyP+8QVg7/LRvb20fzxt+/Py+N5N+JlOkiRJ2hlpwJi0C6SfTfqWAk4nVmO/Itoc1iz+CDiSEo6z/VgNx/BHSSsU4eAkYIikHcvDPiBM36YobQ1nAgvZ/q6NLvwmABYlytqxPVhSZ9vvAacC8xRfgcvcgAZzZcJ3P+Gm/7zCUO0pIgN+Q0mbSFoCOB7IFbcWlIkWtm8nesoFrCppftuDbR8CLCZp4fKUgeXxTTfpsN2HKPe+XNIfSmVCtaDwGVEufnV9R5oMj9L2dQ4R5dlV0jq2TyXysbeUtIrt44B/A013DLdgMmBSok0J26cRx+5hkta0/VNFSCj3N/v+SJIkSdoBWZmQtAvKRGFNwnzqLuAvQC/gRGJl68Eyqd7PNYrJKmNYn/BEuJfo3b2CKEndVdJ6wNxAr9J2URHrvm7DMXyh4u4t6QPbzxDl7hAX2xOUnxsqKkzShMCfbd8taRVCdNmZmCR8Rri1r1Zu+xQ4zHZNEzjaG2WiPLS0iXwIPEgkhexMHA/jE8faRDSxiFCN7ZNKy9Nlkja3/XQLQeF/wP/qPc7kl1RXytj+RtK5RJvO2qUi4dTS8tCzVCz8u64DrgFVrTnTEfGOjyoSJnaVdIztA22fWVocmjWBJUmSJGnnpGdC0vCUioAJCSO5C23foDBf3Bv4BNiXiH+bp6x6t+W2O5QJXCdgCsKbYDMiEaEnsDLhCt6FcNgeWHp7a1ZWLmkaIgZyKuCq4tewNHAJYWJ4dy22OyYoTMTOJ2I7pwd2ciRsrEdUd+xiu1+ZEHe0/W2TluaPEQrDz6OJqoSpgf2I2NG9CPPNN4HTbd9Qt0HWkKoJ2ALANMADpd1oD8IvZTPbz+Sx07hU/20kbUwsagy2fb0icWNRwoemn6QdCN+LD+s45JpRxOkDiQqjxwhx+ieiOuFzj2ZiRZIkSZKMLbLNIWl4HHwL/B/RWzuhw5n+bMqk3vbHtu+vtCK0BWXS/oSkqUu1Q0diJXhPoAfQzfbXhDHWJLafsP1aZcxtNY6W2P4UOJmIAewj6WLgFGCPBhUSOjiy0E8gDBXf9LCozhuJ/XmBpE1Lqf630Pyr6qNKaf84DtiY8M5YnhDYPgL+QVTI7F3Etjb7HDQKVULC2kRKyhbA/ZIWs30SYXbaV9Kf8thpXKqEhJ5EddkcwIGSzrZ9NtECtWkp7T+rmYSEIqpWfp4D2B/oDqxCxLauBbwFnAHMJGmeOgwzSZIkSUaaFBOShqTKn+D3kpaVNDFhKDgpsQIL8D7wKrCTIl++TSegZdL+NPBQERQGECX5WwP7OOLKViIm8lO11XZHcmwf2z6ZEDL2ATZq1Elkqez4HTAr0ZIyqaTTq8qcbyCcyz+p4zAbkhZ/z85EVcwcxP7ajDD1vIg4Lve3/RI0lxCjMDGttBn9ETiMaIm5kRITKOnPtk8hBKtJ6jXWZPhUH8ulNWUNYEfbx9pegjBh7U0IZA8S596moQgD/5W0hqRJgKGEKDiwiNLHEgksm9p+BPhbRZxOkiRJkkYlxYSkISkTh3WJ1IKtgL7ECuyXQDdJ/YjJRA+ivH/qttq2pImqxrE9cCtRoTAFUQ1xC9BbUi+gD1WTuLGN7QHl39vl94aaRErqoIgy3AVYljDNXAeYX9J/JHWV9CTwYvFTaDgxpB60mEBXztMPA68Qq5cH2X6WqNYZDMxWJiRNRWl7uUjSDOWmV4AdgN8R/inzENVCl0ha2vZJtu/N46ixaNHa0IOorvkGGL/qYbsB09j+ETjLTRR5KGl+4FIiyvWZ8ln9gkjfWU7SdI5km3OIuGPcpPGXSZIkSXORYkLScCiYCdiVSC24EZgWeJQo8z6c6LNfm1il3RJ4ro22PRPwmqQzJO1VSvR3A84iHMYHEKW5VxDixg62++bkZbiM54ikPLX8vhswHbAm4V7eAziqcuHcaGJIPZDUBXhK0p7wc2VHB9tDiN7qyYFVFNGHawAHOyI1mw7bgwkxcVJJO9ke5DAdXZSIY/0MuJ5I/viq6nnj/HHUSFQJCWsB3Yg2lccJoWim8rCFgDnK8d80SJqUOP/1sX1qRSSxPRB4iPiOO1RhOHkEITgkSZIkSbsgDRiThkPSgrZfkHQgYc7VFdjc9puKJID7bf9QykYvBbq7jWIQSxn18YTQNh1xsTcNkeBwEuGU39X2l22xvWamtDYcQ7SEvCNpTkJMmAg42vbbkiax/XUa5v0SRQTqDcAhtk8vt3UqZoPTEp4ZPwI32r6qjkOtGRpmftoBWIwwndzP9rnlPHAwITCuAuzpNjZfTdoWhWlub+Br29uU244hBLGngMWBLWy/WL9Rtj2lpeNsYDfbX0nqCAytEljWIb5jFgD62b6rfqNNkiRJklEjxYSkIaiaOCxNrPpvUf4tDmxdxIVlgTOJntLny/OmsN2msVnFf2F1og/9aWBmYvVoAmBz4G2ivHqoIyc9aQVJMxIpAzMRrSDvSpoXuA24DDi2rM4lrSBpMaA/cIDt0xVRh0OKKLMckeTxXTMKMVVmi6sC89r+bxFYLgaOLP+vAawL3GD7ljoON2mFyjm96vdpgO2IY/cM2zeV2xcnWnW+sv1uXQZbQyRNDtxPRAbfXG7rQFQZdQGWtn1Hy/2VJEmSJO2BTvUeQDJuo0hm+K4ICTMQq/+7276v9EvPBGwl6SdgA2Jl8vnKxIrwUGirscjB/cU3YVXiYq+P7UuKZ8JDwMuOdIekiqoJ4ELAlMALhDlld+AfknYiYjRfAi5PIWHE2H5C0mpA/zLR6CNpReAaYBPb35XHNZWQAD97RaxCuNpvW46thyVtTcSzjmf7LKAyOWs6QaW9U5kYS9qMiDt8h6j6MrCypCG2+9l+vI7DrDm2v5R0CrCRpA9Km46KMLgysImkRwkPiSRJkiRpV2RlQlI3JM0H/Bt4F3iDiAQ7kDguVyuPWRKYDZgeeMLDIgVrcuC2MApbGfgLUYlwg+3XW3tcMoxSsvsPYkV9JaKt4W3g70QCAYQg1LcuA2yHlAqFfsB1RHrHgbavre+oakfxHxmP8Cm5zfalkjpRKoEkLUO0Ny0HvJ+ruY2LpL8C/ySMdBchhKCrgT2A+YArbN9RtwGOJUpVxh5E6s+VwN1EcsNZRJxrVtYkSZIk7ZIUE5K6UNytzwTOJ/wJ5gdeA+4D9iUqDvYY2xN2SePZ/rFc/H1P9LFuBbxHVE0MThGhdSTNTKRb9CAmDicBy1baUCQtCnxj+9W6DbKdUkrB7wK2s31VxfCzmY9FSccDz9u+qOpzubDt5yRNmpUtjYekOYCPbA+W1A34A9HS8GapsulFVJtcA/QkxISmSW0YEZKmAzYBdiY8IuYCjrN9fYrTSZIkSXslxYRkrCOpM/AyEQe4Xukf3R+YwvZ+khYGdgI62P5bDcdRKcufivgs/K/cPjNwL3C47QvLRfD7tl+u1VjaKy0qOcYH9gYmJEzxutl+S9LahGlmTv7GAEkT2/6mGSceVZ/FeYle8neIqqCtCIPVAZIWIcSqbWy/UcfhJq2gSGrYCdil+KP0ATYCNrL9QDnvr0Ak8hxj+5o6DrduFFFhKNDF9vvN+HlOkiRJxh0yGjIZ69j+AdgMWFLSzqVM+TtgyrLi+hJRtTBeqWCo1TgsaX2iJP8aSXuVu7YDjrd9YXlc/xQSfk3VBHCNsh87ExGeXYEdi5CwFHACsQqXjBnf1nsAtaIcR2sB1wLbAK8QkbCvAGdJuoQokT8hhYTGowiuxwCnFCFBtncGLgKOlTR1Oe/fC+xDtLSNk9j+2Pantt8vv6eQkCRJkrRbsjIhqRtVbvX3ApMSK5Dvlvs6ABPZ/rqG258H+BfhDv9DGctBts+sekw6bI+AMgE8gYh/vKX8TQ8lPDBMpGIc4OLcniStIWku4DxCSJifiL5cyJFWsQAwMTCotDjkSm4DUbxlbgQWtf2qIm2kN9Db9oeSTgN+T6TwjBMtDUmSJEkyrpBiQlJXJP2BMKP6t+0ji9GaHUkNtdzubIQxWCeiHP/7kkLQHzjZ9jG13H4zIKkLEeN5iu07NSy6cGFgdmAG4Lniwp8TwGS4SJoM2Jqovvg7sLntNyR1Be613bRVGe2d8nl/GlgLuAN4ELja9r+qHnMekcyzZoqzSZIkSdI8ZDRkUldsP6PIkr9F0je2T6zVtqontLbfkXQrsDGwuqT7HJGTawD3SroMeCcvfEdIJ6Ki5Lvy+3jAEOBj289VPzCFhKSaqhaZCQij0yFE69NswGxFlFqCWOF+i/BYSRqQUi2yJHA74QWws+0rKvdLms/2tpKmzfNpkiRJkjQXKSYkdcf2k5LWBe6QdA01iHurmrysCCxMrIBeAAwmBIWhkh6w/aykmW1n5ncLqvbhlMAXtr+V1Bc4RNJOtt+WtCxwcvl7fpgiQtIa5Thaj4gOfYdoddoAeB7oJcnApsAh6VfS+Nh+XNLyRBpPx8rtkrYBtpLUzfYndRtgkiRJkiQ1IcWEpCGw/aikmWrl+F8mL6sTrQ1XAEsREV1LlYdsDXSQ1I+y0p6l+b+kagK4PfB5qd64hvBGuFvS+UT0WS/bH9RvpEmjI+l3wA5EOsOXhF/CxESU4FaEOfDutu/Jz2H7oFR2rQ7cLmkI8CmwC+GF82l9R5ckSZIkSS1Iz4SkYaha+W6TyYOkqYEZKyX3kk4FnrJ9bvm9DzCT7fVLkkN/28+P6XabFUkrEYaV6xKTwGmJ1I1LiMi3DsDA9EhIWiJpRqAL8C4wJ3AbcKPtPcr90xLeKd1tP16vcSZjTjFhfYwQE1bMypIkSZIkaV6yMiFpGKr8DNpCSOhMrKDPIulc208RrQ1TVD2sF3BqSWz495hus1mpSrRYBNiRWD2eHriy/N4FuNL255XnpJCQVJA0H1HBchjwqe3XJd1MeJXMaPtD259IuoOoTkjaMbafkLQgMMT2q/UeT5IkSZIktaNDvQeQJLWgZJrfQ6yObSZpbuBy4EBJ65eHLUzE0E0vSXUZaANTtU/GB7B9EmGEty2wcXFr/wpYFpigHmNMGhtJswNXE2ktV1FaiGzvSlQnXCtpg+JlsjER0Zq0c2y/lEJCkiRJkjQ/KSYkTYWkWUrfLrYfJUwWfwT+BnwIrAccJ+ks4HTg0LIymivpLSgtJ2sAF0navZSqDyIqEXYosZ5dgP+kR0IyHFYC7rR9jqQOwMKSdpa0ru09gZuJz2FX4C+2H0xhL0mSJEmSpH2QnglJ01BaG14HZgHOAj4BriVW1pcDJgNOJES0CYCJbL+U/f2tU0zyLgTOAP4CPAdcTJSi9yZi/A6zfUPdBpk0NJJWAI4BjiDSGSYAFgSeBgbZ/pukfwFLAqvZ/i4/j0mSJEmSJO2DFBOSpkLSIsCNxGTlXOAgwgxsfuAzosz6aNuv122QDUyVCeYCwNTAH22fJGlOYF/gY+A6QliY0fYHOflLhoekCQlfje7AG8B/gBeAmYH9bG9VHncxMBWwju0h9RltkiRJkiRJMiqkmJA0HUVQuIdwhr9B0lzAfoSL/CrAwrZfqOMQGxpJqxDxmfcDqwFLldi32YDDiYqPQ20PquMwk3aEpCmrDTpLxcLRQDfb75Xbprc9oF5jTJIkSZIkSUaNFBOSpkTSEsDtwAG2T6skEkiaw/Zb9R5foyJpHiLl4jzb90vajyhP39b2c8VQb+IUY5LRQdJ4hEB1LHCg7ZsldcxqhCRJkiRJkvZHRkMmTYntxyStCvST1KUkEQC8DcPK+es1vkaiqrXhj8AuREvIbJIesn28pJ+AqyX91faz9R1t0l4pQsISwF5Ab9s3A6SQkCRJkiRJ0j7JyoSkqZH0Z+AOYAHgvRQQWkfS8sA+wJHAhkBn4Arbj5f79wMesv1A/UaZtHeKoDCV7QEp6CVJkiRJkrRvUkxImh5Jk9oeWO9xNCqSFiIqEh6xfZ6kqYi0hh+B62w/XNcBJkmSJEmSJEnScHSo9wCSZCzwNUQ5f70H0khIqnz+lwQWARaSNJXtzwijxUmATSRNVq8xJkmSJEmSJEnSmGRlQpKMY1R5JExn++Ny24bARsDVwD22v5Q0BTC97ZfrOd4kSZIkSZIkSRqPNGBMknGMIiR0BXpJuh94vyRedAE2ADpL6m/7C+CLeo41SZIkSZIkSZLGJMWEJBnHkLQc8A9gE2BvYDVJMwGHEMaLGwD31m2ASZIkSZIkSZI0PNnmkCTjCMUjoSOwKfAsMANwLHAMsB3wNHAoMK3tj+o1ziRJkiRJkiRJGp80YEySJqfE8QF0sP0jcBnwOrANsLnta4Bvgd8Bc6WQkCRJkiRJkiTJb5FtDknSpEiaERhg+0dJawPdJfUDnrT9nKRZgZWLV8KMwI62X6vnmJMkSZIkSZIkaR9km0OSNCmSTgPmBvYHjgfuAGYHBgJnAJOW/78HTrZ9VX1GmiRJkiRJkiRJeyPFhCRpMiRNZPvbEu14ELAOcJjtyyUtAqwLTAGcDvwfMJntLyqRkfUbeZIkSZIkSZIk7YUUE5KkiZA0H3Ai8A7wCnAdYbC4kO2Fy2MWBLoBEwGH2v6qTsNNkiRJkiRJkqSdkmJCkjQJkuYHzgTOJ8xVFwaeAa4g2hkmBDa0bUkLAYNsv1Gf0SZJkiRJkiRJ0p5JMSFJmgBJnYGXgRdtr1diIPcjYh73kjQx8B9gFmCNbGdIkiRJkiRJkmRMyGjIJGkCbP8AbAYsKWln20OBQcCkksaz/Q2wJ/AJ8Kc6DjVJkiRJkiRJkiYgKxOSpImQtBjQH7iXSGvobvvdqvs72h5Sr/ElSZIkSZIkSdIcZGVCkjQRtp8AVgJWAO62/a6kTqXtgRQSkiRJkiRJkiRpCzrVewBJkrQttp+RtCpwi6RvbJ9Y7zElSZIkSZIkSdJcZJtDkjQpkv4M3AEsALxffBSSJEmSJEmSJEnGmBQTkqSJkTSp7YH1HkeSJEmSJEmSJM1FeiYkSXPzNYAk1XsgSZIkSZIkSZI0D1mZkCRJkiRJkiRJkiTJKJGVCUmSJEmSJEmSJEmSjBIpJiRJkiRJkiRJkiRJMkqkmJAkSZIkSZIkSZIkySiRYkKSJEmSJO0WSStK6lt+Xk9SrxE8dnJJO4+90SVJkiRJ85JiQpIkSZIkDYekjqP6HNs32j5uBA+ZHEgxIUmSJEnagBQTkiRJkiQZq0iaXdIrki6R9LKkqyVNKOltSf+Q9BTwV0mrS3pY0lOSrpI0cXn+muX5TwF/qXrd7pJOLT9PJ+k6Sc+Wf0sDxwFzSXpG0j/r8d6TJEmSpFlIMSFJkiRJknowL9DH9u+BgQyrGPjM9p+AO4DewKrl9yeAvSSND5wFrAssCkw/nNc/GbjX9iLAn4AXgV7A/9n+g+19a/S+kiRJkmScIMWEJEmSJEnqwXu2Hyw/XwwsW36+ovy/JDA/8KCkZ4BtgNmA+YC3bL9u2+W5rbEycBqA7SG2v2r7t5AkSZIk4y6d6j2AJEmSJEnGSTyc378t/wvob7tb9YMk/aHG40qSJEmSZCTIyoQkSZIkSerBrJKWKj9vDjzQ4v5HgGUkzQ0gaSJJ8wCvALNLmqs8rhutcyewU3luR0mTAV8Dk7The0iSJEmScZYUE5IkSZIkqQevAj0lvQxMQWlJqGD7U6A7cJmk54CHgflsDwZ2BG4uBoyfDOf1dwdWkvQ88CQwv+3PiLaJF9KAMUmSJEnGDEW7YZIkSZIkydhB0uxAX9sL1nssSZIkSZKMHlmZkCRJkiRJkiRJkiTJKJGVCUmSJEmSJEmSJEmSjBJZmZAkSZIkSZIkSZIkySiRYkKSJEmSJEmSJEmSJKNEiglJkiRJkiRJkiRJkowSKSYkSZIkSZIkSZIkSTJKpJiQJEmSJEmSJEmSJMkokWJCkiRJkiRJkiRJkiSjxP8DIIx1Y8SAil0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x1152 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "confusion = confusion_matrix(y_test, pred_test)\n",
    "plt.figure(figsize=(16,16))\n",
    "plt.imshow(confusion, cmap=plt.cm.Blues)\n",
    "indices = range(len(confusion))\n",
    "plt.xticks(indices, labels, rotation=45, ha='right')\n",
    "plt.yticks(indices, labels)\n",
    "plt.colorbar()\n",
    "plt.xlabel('predict')\n",
    "plt.ylabel('true')\n",
    "for first_index in range(len(confusion)):\n",
    "    for second_index in range(len(confusion[first_index])):\n",
    "        plt.text(first_index, second_index, confusion[first_index][second_index])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "precision, recall, F1 score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**************************************** Evaluation results*****************************************\n",
      "                                       Precision.       Recall.          f1.            \n",
      "                 Addictive Behavior    0.7766           0.8295           0.8022         \n",
      "                            Address    0.6154           0.6667           0.6400         \n",
      "                                Age    0.9607           0.9607           0.9607         \n",
      "                   Alcohol Consumer    0.3333           0.3333           0.3333         \n",
      "                Allergy Intolerance    0.8631           0.9327           0.8966         \n",
      "                            Bedtime    1.0000           0.6667           0.8000         \n",
      "                     Blood Donation    0.5882           0.9091           0.7143         \n",
      "                           Capacity    0.5510           0.4821           0.5143         \n",
      "           Compliance with Protocol    0.7414           0.7167           0.7288         \n",
      "                            Consent    0.9062           0.9376           0.9217         \n",
      "                    Data Accessible    0.9375           0.6000           0.7317         \n",
      "                             Device    0.4815           0.2826           0.3562         \n",
      "                         Diagnostic    0.6986           0.7170           0.7077         \n",
      "                               Diet    0.6667           0.4348           0.5263         \n",
      "                       Disabilities    1.0000           0.7143           0.8333         \n",
      "                            Disease    0.7594           0.8404           0.7979         \n",
      "                          Education    0.8571           0.8571           0.8571         \n",
      "                          Encounter    0.9000           0.3600           0.5143         \n",
      "        Enrollment in other studies    0.8901           0.9770           0.9315         \n",
      "                      Ethical Audit    1.0000           0.9091           0.9524         \n",
      "                          Ethnicity    1.0000           0.8000           0.8889         \n",
      "                           Exercise    1.0000           0.4286           0.6000         \n",
      "                             Gender    1.0000           1.0000           1.0000         \n",
      "                            Healthy    0.6364           0.5385           0.5833         \n",
      "            Laboratory Examinations    0.8376           0.6831           0.7525         \n",
      "                    Life Expectancy    0.9322           1.0000           0.9649         \n",
      "                           Literacy    0.6154           0.5000           0.5517         \n",
      "                           Multiple    0.6592           0.6156           0.6367         \n",
      "                    Neoplasm Status    0.4902           0.5682           0.5263         \n",
      "         Non-Neoplasm Disease Stage    0.4091           0.2812           0.3333         \n",
      "                            Nursing    0.4286           0.5000           0.4615         \n",
      "                       Oral related    0.8667           0.6842           0.7647         \n",
      "             Organ or Tissue Status    0.7345           0.6917           0.7124         \n",
      "   Pharmaceutical Substance or Drug    0.7394           0.8133           0.7746         \n",
      "         Pregnancy-related Activity    0.8952           0.9680           0.9302         \n",
      "                    Receptor Status    0.7500           0.3333           0.4615         \n",
      "                Researcher Decision    0.8323           0.9205           0.8742         \n",
      "                    Risk Assessment    0.8604           0.8377           0.8489         \n",
      "                     Sexual related    0.8182           0.6923           0.7500         \n",
      "                               Sign    0.3500           0.2165           0.2675         \n",
      "                     Smoking Status    0.9500           1.0000           0.9744         \n",
      "     Special Patient Characteristic    0.6667           0.2105           0.3200         \n",
      "                            Symptom    0.4118           0.2800           0.3333         \n",
      "                 Therapy or Surgery    0.7245           0.7581           0.7409         \n",
      "                                       ---------------  ---------------  ---------------\n",
      "                    Overall (micro)    0.7632           0.7632           0.763154       \n",
      "                    Overall (macro)    0.7531           0.6693           0.694820\n"
     ]
    }
   ],
   "source": [
    "import evaluation # our defined evaluation metrics.\n",
    "results = evaluation.Record_results('../data/test.txt', 'kNN_test_pred.txt')\n",
    "evaluation = evaluation.Evaluation(results.records)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### save models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_save_file = \"kNN_model.mkl\"\n",
    "pickle.dump(model, open(model_save_file, 'wb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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